diff --git a/QV.nlogo b/QV.nlogo index 3ca9299..b495817 100644 --- a/QV.nlogo +++ b/QV.nlogo @@ -9,6 +9,7 @@ voters-own [ last-voice-credits-spent votes-cast perceived-pivotality + majority? ;;True if voter is part of the majority voters, False if voter is part of the minority fraction of voters ] referenda-own [ @@ -98,15 +99,19 @@ to create-voters-with-prop8-utility-dist (ifelse random-num < lgbt-in-relationship [ set utility 2 + random-float 18 + set majority? false ] random-num < lgbt-total [ ; This the portion of the population that is LGBT and not in a relationship, because any number below 0.007 already went to lgbt-in-relationship set utility 0.5 + random-float 3.5 + set majority? false ] random-num < het-support + lgbt-total [ ; This is the % of the non-LGBT population that supported gay marriage (the number has to be greater than lgbt-total already) set utility random-float 1 + set majority? false ] [ ; the remaining % of the population opposed gay marriage set utility random-float -1 + set majority? true ] ) ] @@ -116,9 +121,11 @@ end to create-voters-with-manually-chosen-utililties create-voters round (number-of-voters * (1 - minority-fraction)) [ set utility random-normal majority-mean-utility majority-utility-stdev ; If the utility > 0, voter wants the referendum to pass and vice versa. The larger abs utility is, the more the voter cares. + set majority? true ] create-voters round (number-of-voters * minority-fraction) [ set utility random-normal minority-mean-utility minority-utility-stdev ; If the utility > 0, voter wants the referendum to pass and vice versa. The larger abs utility is, the more the voter cares. + set majority? false ] end @@ -285,7 +292,10 @@ to assign-pmp ; ifelse estimating-PMP-from-polls? [ ; estimate-pmp-from-polls ; ] [ - assign-pmp-from-distribution + ifelse utility-pmp-correlation = 0 + [assign-pmp-from-distribution] + [assign-correlated-pmp-from-distribution] + ; ] end @@ -319,6 +329,49 @@ to assign-pmp-from-distribution ) end +to assign-correlated-pmp-from-distribution + ; beta distribution at low variance is similar to a normal distribution + ; assume uncorrelated pmp is normally distributed with mean = 0.5 and stdev = 0.1 + ; 11/1/2020 adding majority? attribute for voters to determine z score of utility + ; Since the majority/minority distributions are inconsistent, this method involves finding the correlated-pmp by breaking it up into two components: the uncorrelated pmp distribution (weighted by 1 - |utility-pmp-correlation|) and a direct correlation (weighted by utility-pmp-correlation) + ; uniform distribution equations: https://courses.lumenlearning.com/odessa-introstats1-1/chapter/the-uniform-distribution/ + ask voters [ + let zscore 0 + (ifelse + calibration = "manual" [ + ; https://stats.stackexchange.com/questions/117741/adding-two-or-more-means-and-calculating-the-new-standard-deviation + let manual-mean (majority-mean-utility * (1 - minority-fraction)) + (minority-mean-utility * minority-fraction) + let manual-stdev (majority-utility-stdev * (1 - minority-fraction)) + (minority-utility-stdev * minority-fraction) + set zscore ((utility - manual-mean) / manual-stdev) + ] + calibration = "1. prop8-mean>0" [ + let prop8-majority-mean -0.5 ;; uniformally distributed (-1,0) -> mean = -0.5 + let prop8-majority-stdev 0.28 ;; stdev for population equal to sqrt(1 / 12) + let prop8-minority-mean 0.77 ;; found by sum of means weighted by their relative proportion: (0.44(0.5) + 0.033(2.25) + 0.004(11)) / 0.48 + let prop8-minority-stdev 4 ;; since max value of 20, this keeps pmp bound in (0,1) + ifelse majority? = true + [set zscore ((utility - prop8-majority-mean) / prop8-majority-stdev)] + [set zscore ((utility - prop8-minority-mean) / prop8-minority-stdev)] + ] + calibration = "2. prop8-mean=0" [ + let prop8-majority-mean -0.5 ;; uniformally distributed (-1,0) -> mean = -0.5 + let prop8-majority-stdev 0.28 ;; stdev for population equal to sqrt(1 / 12) + let prop8-minority-mean 0.865 ;; found by sum of means weighted by their relative proportion: (0.32(0.5) + 0.033(2.25) + 0.004(11)) / 0.36 + let prop8-minority-stdev 4 ;; since max value of 20, this keeps pmp bound in (0,1) + ifelse majority? = true + [set zscore ((utility - prop8-majority-mean) / prop8-majority-stdev)] + [set zscore ((utility - prop8-minority-mean) / prop8-minority-stdev)] + ] + ) + set zscore (abs zscore) + + let uncorrelated-perceived-pivotality (random-normal 0.5 0.1) + ifelse utility-pmp-correlation > 0 + [set perceived-pivotality (uncorrelated-perceived-pivotality * (1 - utility-pmp-correlation)) + (((zscore * 0.1) + 0.5) * utility-pmp-correlation)] ;passionate voters are optimistic + [set perceived-pivotality (uncorrelated-perceived-pivotality * (1 + utility-pmp-correlation)) + (((zscore * -0.1) + 0.5) * -1 * utility-pmp-correlation)] ; passionate voters are cynical + set perceived-pivotality max (list 0 min (list 1 perceived-pivotality)) + ] +end to-report voice-credits-spent [active-referendum] ; voter function let spent-voice-credits ifelse-value limit-votes? [ @@ -418,7 +471,7 @@ number-of-voters number-of-voters 1 10001 -2041.0 +1001.0 10 1 NIL @@ -566,7 +619,7 @@ majority-utility-stdev majority-utility-stdev 0 10 -2.0 +5.0 0.5 1 NIL @@ -581,7 +634,7 @@ variance-of-pmp variance-of-pmp 0 0.083 -0.083 +0.01 .001 1 NIL @@ -665,7 +718,7 @@ minority-mean-utility minority-mean-utility -10 10 -10.0 +6.1 1 1 NIL @@ -734,12 +787,12 @@ utilities-median CHOOSER 5 180 -167 +171 225 calibration calibration "manual" "1. prop8-mean>0" "2. prop8-mean=0" -0 +2 TEXTBOX 177 @@ -776,7 +829,7 @@ CHOOSER behavior-under-qv behavior-under-qv "rational" "right-direction-random-magnitude" -1 +0 SLIDER 0 @@ -798,9 +851,9 @@ PLOT 453 1024 603 -plot 1 -NIL -NIL +Distribution +utility +votes cast 0.0 10.0 0.0 @@ -811,6 +864,32 @@ false PENS "default" 1.0 2 -16777216 true "" "ask voters [plotxy utility votes-cast]" +SLIDER +314 +474 +494 +507 +utility-pmp-correlation +utility-pmp-correlation +-1 +1 +1.0 +.01 +1 +NIL +HORIZONTAL + +MONITOR +1138 +315 +1247 +360 +mean payoff sum +mean payoff-sign-list +17 +1 +11 + @#$#@#$#@ ## WHAT IS IT? @@ -1545,6 +1624,231 @@ vote + + setup + reset +vote + + mean payoff-sign-list + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + setup + reset +vote + + mean payoff-list + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + setup + reset +vote + + mean payoff-sign-list + + + + + + + + + + + + + + + + + + + + + + + + + + + + + setup + reset +vote + + mean payoff-sign-list + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + setup + reset +vote + + mean payoff-sign-list + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + @#$#@#$#@ @#$#@#$#@ diff --git a/data-analysis/analysis-for-css2020/.ipynb_checkpoints/Jacob - QV vs 1p1v (on single referendum)-checkpoint.ipynb b/data-analysis/analysis-for-css2020/.ipynb_checkpoints/Jacob - QV vs 1p1v (on single referendum)-checkpoint.ipynb new file mode 100644 index 0000000..6d5efc0 --- /dev/null +++ b/data-analysis/analysis-for-css2020/.ipynb_checkpoints/Jacob - QV vs 1p1v (on single referendum)-checkpoint.ipynb @@ -0,0 +1,3152 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "\n", + "import matplotlib \n", + "font = {'size' : 12}\n", + "matplotlib.rc('font', **font)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Wellfare Loss - Single Normal Distribution $\\mu=0$ " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## The data" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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[run number]number-of-votersminority-fractionmajority-mean-utilitymajority-utility-stdevminority-mean-utilityminority-utility-stdevmarginal-pivotalityvariance-of-pplimit-votes?...voting-mechanism[step]mean payoff-sign-listmean payoff-liststandard-deviation payoff-listmean vote-sum-liststandard-deviation vote-sum-listmean mean-median-same-sign-listwellfare-losscolor
02100031010.50.0003False...QV10000.9857.5114025.709273-0.0163894.7180800.8240.015blue
11100031010.50.0003False...1p1v10000.7805.4257467.0524330.0060003.0863390.8230.220blue
23100031010.50.0010False...1p1v10000.7635.3397387.693429-0.2140003.1673710.8000.237blue
35100031010.50.0100False...1p1v10000.7996.0652357.439300-0.0320003.2275990.8280.201blue
44100031010.50.0010False...QV10000.9767.4247935.6440160.2416494.6787080.8190.024blue
\n", + "

5 rows × 21 columns

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" + ], + "text/plain": [ + " [run number] number-of-voters minority-fraction majority-mean-utility \\\n", + "0 2 10 0 0 \n", + "1 1 10 0 0 \n", + "2 3 10 0 0 \n", + "3 5 10 0 0 \n", + "4 4 10 0 0 \n", + "\n", + " majority-utility-stdev minority-mean-utility minority-utility-stdev \\\n", + "0 3 10 1 \n", + "1 3 10 1 \n", + "2 3 10 1 \n", + "3 3 10 1 \n", + "4 3 10 1 \n", + "\n", + " marginal-pivotality variance-of-pp limit-votes? ... voting-mechanism \\\n", + "0 0.5 0.0003 False ... QV \n", + "1 0.5 0.0003 False ... 1p1v \n", + "2 0.5 0.0010 False ... 1p1v \n", + "3 0.5 0.0100 False ... 1p1v \n", + "4 0.5 0.0010 False ... QV \n", + "\n", + " [step] mean payoff-sign-list mean payoff-list \\\n", + "0 1000 0.985 7.511402 \n", + "1 1000 0.780 5.425746 \n", + "2 1000 0.763 5.339738 \n", + "3 1000 0.799 6.065235 \n", + "4 1000 0.976 7.424793 \n", + "\n", + " standard-deviation payoff-list mean vote-sum-list \\\n", + "0 5.709273 -0.016389 \n", + "1 7.052433 0.006000 \n", + "2 7.693429 -0.214000 \n", + "3 7.439300 -0.032000 \n", + "4 5.644016 0.241649 \n", + "\n", + " standard-deviation vote-sum-list mean mean-median-same-sign-list \\\n", + "0 4.718080 0.824 \n", + "1 3.086339 0.823 \n", + "2 3.167371 0.800 \n", + "3 3.227599 0.828 \n", + "4 4.678708 0.819 \n", + "\n", + " wellfare-loss color \n", + "0 0.015 blue \n", + "1 0.220 blue \n", + "2 0.237 blue \n", + "3 0.201 blue \n", + "4 0.024 blue \n", + "\n", + "[5 rows x 21 columns]" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.read_csv('2020.01.31 - QVoting-NormalizedPivotality 1p1v-vs-QV-mean=0-agg.csv')\n", + "\n", + "def color(x):\n", + " if x == 3:\n", + " return 'blue'\n", + " else:\n", + " return 'orange'\n", + "\n", + "df['wellfare-loss'] = 1 - df['mean payoff-sign-list']\n", + "df['color'] = df['majority-utility-stdev'].apply(color)\n", + "df.rename(columns={'variance-of-perceived-pivotality': 'variance-of-pp'}, inplace=True)\n", + "df[0:5]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Wellfare loss of 1p1v vs number of voters" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "mean wellfare loss: 0.2083770833333333\n" + ] + } + ], + "source": [ + "adf = df[(df['voting-mechanism'] == \"1p1v\")].groupby(['number-of-voters', 'majority-utility-stdev']).aggregate('mean').reset_index()\n", + "adf['utility-stdev'] = adf['majority-utility-stdev'].apply(lambda n: '=' + str(n))\n", + "\n", + "ax = sns.scatterplot(x=\"number-of-voters\", \n", + " y=\"wellfare-loss\", \n", + " hue='utility-stdev',\n", + " data = adf)\n", + "ax.set(xscale=\"log\", \n", + " ylim= (0, 0.25),\n", + " xlabel = \"number-of-voters (log scale)\")\n", + "\n", + "plt.plot([0, adf['number-of-voters'].max()], [adf['wellfare-loss'].mean()] * 2, 'k--', linewidth=1)\n", + "plt.title(\"1p1v wellfare loss vs n-voters, $\\mu=0$\")\n", + "plt.show()\n", + "print(\"mean wellfare loss: {}\".format(adf['wellfare-loss'].mean()))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true + }, + "source": [ + "## Wellfare loss of QV vs N Voters" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "### Wellfare loss vs number of voters for several marginal pivotalities" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": 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oJFHuKUfDMAzDKAmm0AzDMIyawBSaYRiGUROYQjMMwzBqAlNohmEYRk1gCs0wDMOoCUyhGYZhGDWBKTTDMAyjJjCFZhiGYdQEptAMwzCMmsAUmmEYhlETmEIzDMMwagJTaIZhGEZNYArNMAzDqAlMoRmGYRg1gSk0wzAMoyYwhWYYhmHUBKbQDMMwjJrAFJphGIZRE5hCMwzDMGoCU2iGYRhGTWAKzTAMw6gJTKEZhmEYNYEpNMMwDKMmMIVmGIZh1ASm0AzDMIyawBSaYRiGUROYQjMMwzBqAlNohmEYRk1gCs0wDMOoCUyhGYZhGDWBKTTDMAyjJjCFZhiGYdQEptAMwzCMmsAUmmEYhlETmEIzDMMwagJTaIZhGEZNYArNMAzDqAlMoRmGYRg1gSk0wzAMoyYwhWYYhmHUBKbQDMMwjJrAFJphGIZRE5RdoYnINiJyp4h0iUi3iPxaRBbk0G6JiNwoIv8QkX4ReUtEfiYi26Wp6xORr4nIGhEZFJHnROSo0pyRYRiGUQ2UVaGJSBPwEPAeYBlwIrAT8BcRmTRK8+OAxcD3gY8B5wH/AqwSkW1S6l4GXAxc49V9ArhDRD5enDMxDMMwqo1Amcc7Fdge2EVVXwUQkeeBV4DTgf/O0vYqVd2UWCAijwFveP1e5JXNBP4fcKWq/pdX9S8isiNwJXBv8U7HMAzDqBbKPeV4GPBETJkBqOobwGPA4dkapiozr+xNYBMwL6H4EKAOuD2l+u3A7ummKA3DMIzxT7kV2mLgxTTlq4FF+XYmIrsCM4GXUsYYAl5Nqb7ae897HMMwDKP6KbdCmwZ0pinvAKbm05GIBIDrcRbaTSljbFFVTTNG7LhhGIZRY4xnt/1rgA8BJ6hqOiWZFyJymoisEpFVmzZtNbtpGIZhVDnlVmidpLfEMlluaRGRK4HTgFNU9U9pxpgiIpJmDBix1JJQ1RtVdYmqLmlra8tVFMMwDKNKKLdCW41b40plEfD3XDoQkQuAc4EvqeptGcaoB3ZIMwa5jmMYhmGML8qt0O4B9haR7WMFIrIQ2Nc7lhUR+RJwOXCBql6Todp9QAj4XEr5CcCLnlelYRiGUWOUex/aj4CzgbtF5OuA4jZBvw3cEKskItsCrwGXquqlXtlxwNU4hfWQiOyd0G+3qv4dQFU3ish/A18TkR7gaeBY4CDctgHDMAyjBimrQlPVPhE5CPgucBsgwIPAOaram1BVAD/JFuShXvmh3iuRR4ADEz5fAPQCXwZmAy8Dn1HV3xftZIxxT8/KlXTcdDOhtWsJzp/PtBWn0LJ0aaXFMgxjjMjW3u3GkiVLdNWqVZUWwyghPStXsuHSy5C6OqShAR0cRIeHmXXRhabUxg+pjl/GBGc8u+0bxpjpuOlmpK4OX2MjIuLe6+rouOnmSotmGMYYMYVmTEhCa9ciDQ1JZdLQQGjt2gpJZBhGoZhCMyYkwfnz0cHBpDIdHCQ4f36FJDIMo1BMoRkTkmkrTkGHh4kODKCq7n14mGkrTqm0aIZhjBFTaMaEpGXpUmZddCGBtjaiXV0E2trMIcQwxjnl3odmGFVDy9KlpsAMo4YwC80wDMOoCUyhGYZhGDWBTTkahlFxelauZPOPfkx43TqL2mKMGbPQDMOoKD0rV7L+4ksIr1+Pr7WV8KZNbLj0MnpWrqy0aMY4wxSaYRgVZfMNNyI+H9LQYFFbjIIwhWYYRkVQVcLt7YTefhvq65OOWdQWYyyYQjMMo+xoOEz43XeJ9PQQmD0bhoaSj1vUFmMMmEIzjCLSs3Ilby5bzqsHf4Q3ly23daA0RPv7Ca1bR9RTYq3HHI2GQi7jgUVtMQrAFJphFIlYSprwpk3m3JAGjUbdFOOGDWgkEi+ftGQJ088+C/+0aRa1xSgIc9ufwGRKcDla4ktLjJmexJQ0ANLYSNQrn8jXR1WJdncT6e5Gw+G0dSYtWULzPvtQZ9OMRgFYgs80TIQEn5kSXE4+4gi6f/ObjIkvLTFmZl49+CP4WlsRGck7qapEu7rY8cEHKihZZdBodESRJVhkmZBgMF+FZgk+jSRsynGCkinBZeett2ZNfGmJMTMTnD+f8ObNDK9Zw+A//8nwmjUMv/MOkZ6eCbWmpqpEenoIrV1LuLMzJ2VmGMXAFNoEJVOCy2hfX9bEl5YYMzONe+1FpL3dOTv4fM65oasL/P4JsaamqkS6upwia283RWaUHVNoE5RMCS59kyZlTXxpiTEzM/DUU/jbZuCrr0eiUVfo98PwcE1bs6pKpLvbKbKOjozrZIZRakyhTVCmrTiFSHc3Q6+9xuDLLzP02mtEuruZumxZ1sSXEzkx5mgu+aG1awlMm07dwoXU77yzU2aBADo8HK9TS9ZsfGrxnXcIb95sisyoOKbQJjBxhyDPiUFVadx9t6yJLydqYsxcXPJTrVdfXR1EIkhdXbysFqxZHR4m3NFB6O233dRiKFRpkQwDMC/HtEwEL8c3ly13N2fPxRwgOjBAoK2NbW+9pXKCFYliby3I5XqleoCGN28m0t6Ov20GgWnTx7VHqIbDRHt7ifb1EU2wOIuJeTkahWIW2gRlvDl35BOBoxQbnHO5XqnWa/3ChUw/80zqt104Lq1ZjUTclOK77zL89tuEOztLpswMoxjYxuoqYuO119F5661E+/rwTZrE1GXLmHnWmSUZKzh/PuFNm5AEi6Nap8MSLZ9EBUUG5VCKDc65Xq+WpUu3HsP7DmNW44ZLLq3aDemqivb3E+ntRb11UsMYL5iFViVsvPY6Nl93HdH+fggEiPb3s/m669h47XUlGW88OXfku/etGNZnqkXYuNdeBV2vag6LpapEBwcJd3YSWruW0MaNRPv7y6rMNBxm4Nnn6Pr9H8o2plF7mIVWJXTeeiuIIAHvKwkE0HCYzltvLYmV1rJ0KVx04bgIYRVauxZfa2tSWTYFVaj1mc4i7P7Nb5h8xBEMPPXUmK5XNYXF0lCI6NAwOjyEDnmvMltiGo0SevNNBp5/noFnnmXgmWecN6gInb/6FdM/v6Iqf4tGdWMKrUqI9vVBIOXr8PtdeYlIOz1WheSroKatOIUNl15GFJLCc+VqTWVSPgNPPTVmh5l8lXKhqCqEQkSHQxAOoeGwi2g/PIzG9siVkejgIEOvvsrQSy8x+PeXGFy9mmhPz1b1pK6O8Pr1WaeUDSMTptCqBN+kSfHpxjiRCL5JkyonVJWQr4Iq1PoshfIp9pqlRiIuEkc0CtHoiMIKjSivShEdGGB4zRqGXnuN4VdfZeiVVxles8bJmoJ/+nQ0EnFTyVOm4G9qivcx0YM6G/ljCq1KmLpsGZuvu85tTvX7IRIBVaYuW1ZQv7UQGX8sCqoQ6zMf5RO7vsNvv+3kOuVkWvbbD1SdlaQK0ShTPnc8G6+8Co1Gkfp6p5RDIVqP/Qzhzk53s/fqa1RBoxCJMDITqHHlBVSFs0a0r4/htWvdutvbbzP85lsMr1lDeP36jG2C8+ZRv2hXGhYvpnG33QjMncvby09GWloQ38iSfjV73BrVS8770ETkQ8A0Vf2993k6cA2wG3A/cK6q1kTwtlz3oUV6e9NOm4yV9lt/Stedd6L9/UhTE61HH82MZSeNub/eJ5+k/ervuX1R9fVurWR4mBnnfJnmD36waHIXjXxu0rGI9iIj/0fiO5MksVxkRFnExlDvn/jnkf/3Pvkk7d/7PhIMjly3UIgZXzybSXvtFa/f99RTtP/gGiQYhPp68OpNP/ssJi1ZspXIfatW0XXHnYTXrycwezatxxydtl61oKEQ4c2bCW/cSHjDBkLrNxDesJ7Qu+8SXvcukS1bsrb3t7VRv+MO1O+4I/U770z9zjvjnzx5q3rrzj2PSEcH0tjoNqOT855I24dmJJGPQlsJPKiql3ifbwaOAh4ADgWuVNXLSiVoOclVoYU7O0f9o64k8RtFgsefDg7inzaNuVddmXM/4+1GXAxyOediXd9yEx0cJNLVRWTLFiKdW4hs6STS2Ulkcwfhjs1E2jcTbm93v+0c7g++yZOpW7ANwQULqFuwLXXbLaRuu+3wt7TkJE/fqlVsvuZat27Z0pLPBnRTaEYS+Uw57gpcBSAiQeBo4BxVvVlEzgFOB2pCodUK4fXrkdSbSn191imhVOI3m2AQaWkh0tHB5muuhQxWyEQivH496vcRfecdNBRCgkF8U1rRDNe3WA8GGom4bQMDA0T7B4j29xHt73dRPPr6ifb1Eu3tJdLj3qM93US6e9x7Vzc6NJT3mP5p0wjMnkVw1mwCs2cTnDeX4Nx5BOfNTWt15cOkJUvg7LPouvMuIu3t43Zq3Kg8+Si0ZqDb+/9ewCTg997np4EFRZTLKAKB2bOJdHRA4p6soSECs2fn3EfXHXc6ZRbrw3vvuuPOmphWS0cmJa5nnsGk97/fOWNEItDQQOTtt92apwgaChFZv4HAnDkMvvQP1PMuJBRi4KV/0HPvvYjfj/r9DL/5Jpuu+k9699qTYFtbghv9sDc1PER0aAgdHCQ66L0PDMStl2IhdXX4p0zBP22aU1rTpuKfMYPA9BkE2mYQaGsjMKMNqQsWbcx0WMZqoxjkM+X4KnC1ql4jIpcDn1LVPbxjhwM/VtW20olaPnKZcuy+/0/0P/O0C0abdAlTrmfC9U261MkfUtrkWi973+GNGxh49jnE7487mmgkQsMe7yU4c1bmvhPKex58yK0RpaChEM0fPjCpeXjTJgZXr0Z8PtTnizsxNCxaRGDGdG/JShPWq2L/J9mJIrUchWis3JNPo57zhOcsgSZ/VkU16tpp1LmqR90x1ShEPO/AWP1oBPXKIt3dyR55VeCAMSp+P75Jk/A1NeFrbsbf3Iwv9mppwT+5Bf/kyfgmT8bf2oq/dQr+1lakqTEpw3YlsViORqHkY6H9HLhCRA4EPg58I+HYvwCvFFGuqqf3oYfouvvuSouRE6m344EnnmQgn/YD6Wv33PvH3Mb7v//LY7Qaw+dLcjjB7wefL+60otEojbvt5hx36oJIfYNbS2poQOpj7w1IQwO+hnr33tiEr6nRRUxpasLX1OTaV4liqmVEZDnwE2A7VV1TWWlKj4icD3wBmAu8qKrvq7BIWclHoV0MDAJ7A1cC/51wbA/gjuKJVf3U7bgDjUuWQCwHVNK9JOXGknijSfp/bm2kgL4jnVsIrVuHDg4iDQ0E583DP3Vq2u6ErfsKd3Yy/Oqr7sacYHXV7bQTgWlTkzrof/JJCAaTJFSAUIhJ++zj+vSJayMxj0RxN+JM5QKhTe0MPv98sqUZjdL4L+8nOHsO4hMQn+tDfN7nkTLXv89TJN55+MS5ifv8I//3+xGfj86f/8Jl7g4GR1LrhEL4J09mxplnQCCA+P1s+v4PiHZ3I/X1cW9LHRrCP20ac755Of3PPUfHdT9EgkFC7e0QCoEIgbYZ+JomxR1I5lzxTYxxwx+AfYB3Ky1IqRGRvYBvAt8GfgsUz6W7ROSs0DyX/LR/ear66aJJNE6YceqpTDn66Kr2coytBfknT4a2NhgaItLRwZTjP5vXulau62LZvP5mnvvVMZ/HunPPIzB9+lb9Rrt7mH7BBWPuNxPS3OzW0AKBuDs+0ShTT15Ow+LF8XpTTzrROchEo0n1phx3LL76errv+nV8/TEwdSrhTZtAlXBHJ0Gf3+1DO+boostvFB/PES6sqpuATZWWp0zs6r1fr6qvV1SSHMk5OLGIzBCRBSllp4vID0Tkk8UXzSiURIcOEXHvwSBdd9yZVz+Tlixh7lVXsuDWW+Lu6OvOPY+3li1n3bnn0eetN7Yec7SLVDE46KK2xzYPF3jTDq9f7xRGInl6a+bDpCVLmH72WfinTUN7evBPm5Z2b9lo9RLl9k2aRKCtDYJBGB7O2KcxNkTkGBFREXlvmmP3ishz3v/PFpG/iUiHiGwRkSdE5BMp9Rd6fZ0pIv8pIuuAIWCKiCz3ji1MqH+ciDwkIptEpFdEnhGRrSIieO0uF5EvicgbItIjIo+IyOI0dY8Qkce8/rpF5CkROSzheEBEviYi/xCRIRFZJyLfEZGG1L4yXK+9ROQBr/8+EXnQs8hixx8GbvE+vubJfnGW/g706hwlIreISKcn98+8Pcup1+GbInLGbfabAAAgAElEQVSBiKwVkQERWSkiBU9n5jPleDOwFjjTE+pC4BKgEzhTRI5X1V8WKpBRPIrhtp/KqG78Z59VdC/HsXhrprMqm/fcM3mz9VbvEv/Ysu++LuJHaj33If42+cADmXzggckbvL3/B+fPJ7x5c9yy9E+ejNTVEZgxg22uuzZ5o3cMbzrVdSNJ0UY0EoVIuCKxGMcBvwO6gBOA+HSAiMwC/hU41ytaCPwYWIO7/30K+L2IfExV70vp8wLgf4HTAD9uySUd2wN34pZiosBS4Mci0qiq16fUPQF4GfgyUIebzrtbRN6jqmFP5i8C38dN8y0DenF+CgsT+rndk/0q4HGcNXWZV+eoDHLGrsl7gUeAvwPLcSsD5wGPiMjeqvoc7j5/AvA14EjcFGsuoVuuxu1N/iywE3AFbv3twyn1TgLeAs4G6oFLgQdFZCdV7chhnLTko9CWALcmfP4CcIWqfl1Evg/8OzChFFpi9uKcF+TzWbjPpW6WOsFttkm6oYIXwmmbbZy1kL7DrMN1332Pi+gQ6zMYJDo4SPfd9zDl4x+Pv7LKllqeaR3Q+zz99NPYcMW3IBIZieWoyvQvfIG6bbZJbidCz8qVbL7+BueSPmMG0d5eOm64keCsWWXd2zT9C6ez4dLL3B41T24iEaaffhr+lFiR+aCRiNsOEA67uI2xmI6xsFmxYMQTSPGp6qCI3AEcLyLnqWrs5D/rvf+PV+//xdqIiA94ENgZOANIVWgbgCM04akj3d+5ql6R0ufDwByvz1SFFgI+qaqhhP7uwG2FelxEJuOUwG9U9ciEdvcnjLE/cCywTFV/6hU/ICIdwO0i8j5VfXYrQUe4CGdxHqyqW7w+/4xT8t8AjlTVv4tIbJrxmTwcYFar6sne/+9LkOlgVX0woV4j8K+q2ueN/yTOsfDfgAtzHGsr8lFo03BfMCKyGzCbEQX3W5zGnVD4GhpGbuxVyPTTT3M31OHhkRtqOOxuqM3NY+oz/O67+Fpbk/6wfU1NrrxEgZQnH3wwEgzmHMux8ye34Kuvr3iqllKl6BG/3znIpE7DpqDhsIuu70XZjw4No6HC97BV8V7DnwKfBw7CWQkAJ+IiHL0LICIfwM0s7Qm0MfIE93Ka/n6rW5nQWyMiO+EsjKW4+2JsKSfdDvY/x5SZxwve+wKcpfUh3J7fG7MMeSgwDNwpIon38D9570uBZ0XET/ITasQ7n6XA72PKDEBVu0XkHpzVl5E0fUYTHh4AfpXS5A7c97IP7uEhxr0xZeaNv0ZEnvDqjZl8FNpmILZJ5CBgnarGXPWDWLLQsjNa4OFS3FArlek6n2DD5U7Vko1KpuiRQGAkv56HRiLOoWZ4eCQXWh6WXJVHjvkrzso4EWex7IqbqjsBQES2wd1U/w58ETflFcZN1e2apr9RPRlFpBn4M9CPm7Z7DadszgDSpYNInU6LKb3Yk3FsvSnbj3UmbroyU26pWB+vAdsmlJ+MWxebRvpzWw9MTVOeyIPAAQmfL8F5wMfYkFhZVYdFpBOYl9LPBrZmA7DVemI+5KPQHgAuFpEZwH/grLIY7wHeLEQQIz/SJaFMl0Oq2DfUQnONlYNKKd3xgPj9yKRJcWs65rwT9cJojWbB5Rs5ppyoqorI7cA5InIGTrH1Ar/xqhwKtAKfUdW4whCRpkxd5jDsPjilsb+q/jWhz7FmMmn33ucBL2aosxm3nrd/huPrvPdP4danYrzhvXfgLMlUZuN8IrJxOpC4ML8u5fisxA8iUodTku9kq5dQllovL/Kxqr4KvA18C6f5L0k49jnc09GoiMg2InKniHR5XjC/TvWezNL2ChH5k4hs9jxllmeo97B3PPV1Ti7jjAcSk1CKiHuvq6PjpptLOm7L0qXMuuhCAm1tRLu6CLS15RJEtqxMW3GKm2IbGEBV3XuVKd1qIfbbCUybRt38edQtWECgbSb+KVPwpZnSLLfH6Ri4DTdldyTuvvRrVe33jsUUV3zKT0R2BvYtYLx0fU4FDh9jf4/jlPBpWerch7PoWlV1VZrXOgBVfSGlfLPX/hHg4yISV0ze/z+FW//LiKq+nG6sBD6T8vkYnJ75W0r5x0UkvkbheY3unaZeXuSzD20D8NEMhz9CZg+gON6T0EM4M3sZ7gnocuAvIvLexDnVDHwReBYXQ3K0NbvncU8TiawZTcbxQiWn1ao903Wp1q4mAuL342+eBEyCqVOJDg0R6eqKZ04vRnzQUqKq//QcDK7EWTk/TTj8AG6K8aci8h2c48YluKnHsS6ZPI6LcXutiHwDF+P26zhLK2/PH1XtEZGvAT8QkbuAn+E2NL8PGFTVH6jqwyLyc9wa2n8DT+G8Kxfiojidq6r/zDLMZcAncV6FV+Huw+filPOl+cqcwmIR+QnwC5yzzTeBh1McQgAGgD+JyLdxVuQluOv43UIGz9ssFucNsAg3D9sB/F1Vu7O3inMqzsV1F1V91evveZx3y+kkRx9JR6uqRkVkR0ZXaD2q+kSOco07bFotO9WudMcLvvp6fDNnouEw0YEBpnz2ONqv/p47mJADrso2iN+Gy9X4DvCXWKGqrhaRz+Fu2vfgZprOw01FHjiWgVR1k4gcAXwH57q/Dvge7v74jWxts/R5jYisB76CU2gh4CWSs5mcgHvAPwW3vWAI98B+P+nXpxL7f15cCMNv4hz7BHgCOMBz2S+ELwOH4Tze/bjtFF9KU++nuDXAa4AZuO0RxxXisg/kHpwYQEQ+j7OoEn2+NwJfV9Wbcmj/INCgqvumlD8CoKoHpG24dT874pTgyap6S5rjDwMBVd0vl/5SyTUfWiVJXENLXMuqtuk/o/bofvBBZ/2+8w6BWbOK5uVowYnHL56C/AvwUVV9YJS6CnxTVb9ebDlyttC8J5sbcV4ut+M8Ymbj5qlvFJF+Vf35KN0sBtJF9F2Nm2stJu8XkS6cGf0S8L1clO54wabVjEox+eCDmXzwwagqkS1biPb0uL1whlFh8ply/CrwM1U9MaX8VhG5DTcHO5pCm0Z6L5oORncXzYeVOFP9n8AU3PTkj0VkjqpeXsRxJgSjbQ8wJiYiQmDqVHTKFJdQtKsLDYVGb2gYJSKfhdBdcJZZOm73jlcFqnqRqv5IVR9R1btV9SjcNoMLvH0jWyEip4nIKhFZtWlT9ccejU05hjdtSnLb71m5sqLj9KxcyZvLlvPqwR/hzWXLiy6PUX2ICP6WFoJz5455w74xvlHVh1VVRptu9OpKKaYbIT+F1sPIxupU5pNbaoFO0ltimSy3YvJznKvr7ukOquqNqrpEVZe0ZQwLVT2Uy20/n3HKpWSNypLpoUV8Ppfhum1m2qSwhlFq8lFof8Ql+EzazCci++AcRdJne0xmNel3gi/C7d4vBwWnH64GKyS0dm1SjEYojdt+PuNUam+cUT5yeWjxN08iOHduyUKhGUYm8t1Y3QU8LCJviciTIvImbkN1NwkRrrNwD7C3iGwfK/A21O3rHSsln8PtfXhhtIrZqBYrJDh/vovNmEAp3PbzGSe0di19/jBrutfwSucrrOleQ58/XJGQU0ZpyPWhRXw+gjNnEpw1y6w1o2zkrNBUdT1uc9+Xcbu5u3F7F74IvN/beD0aP8LtlbhbRA4Xl9/nblwEkhtilURkWxEJi8hFiY1F5AARORq3bwRgiYgc7ZXF6uwvIn8QkRUicrCIHCkid+P2RlySw+btrFSLFVLKaBiJFmi4s5NId3dO4/S1NbO5cx3haBifz084GmZz5zr62mpjXaUaLPNKk+9Di6+pyWVJzyG7QD5biAwjHXltrPZCyFzjvfJGVftE5CDcbvDbcPtIHgTOUdXehKqC25SXqnAvITkw5lneK9YGXNBNH27z5AzcpsTngeNz2FYwKtUS+LZUbvupMSJjqVokGCTa1ZV1nHs+6OPDb4E/BKGgUhcCX9SV71GQVJUn19iZtU5fWzMda18jXO9PemjR+TtkbCMiBKZNwzdpEuFN7WnjRUY1StdgB7PZppTiGzXOWANojhlVfYtREtB5uXe22jSpqgfm0P+rwMfGKN6oVFOEjlJEw0i0QMGlXgkA/ilT2P7u32Zt+9iCfgY+PY99H2lnaucwnVPreOyA2Ty9oD9ru/FAuutSiZQ0laaQhxZffT3BeXOJdHQQ6R4JLhTWMJv7N0PAX1rhjZonq0ITkTfI3YlCVTXzY1qNMG3FKbx7/gWE1q1Dw2EkEMDX3MzM884dvfE4oBALdF7zPF7ceROvLRr5GQyEB5jXWP1eo6NRLZZ5pSn0oUVECEyfjq+5mUh7O4MDvXQMdBAhQgBTaEZhjGahPUIRvAJrjfhcv5fkspbm/guxQJcvXs4VT7rkvQ3+BgYjg4QiIZYvXl4qcctGNVnmlaRYDy2++np6Z7TQsaGD6MDEyaxdDLy8bt/FBYsXXNDlc7zZr9HaNuBiQp6ACzrxLC6YcU0sCGdVaKq6vExyjBs6brqZQGsrvoTo4tGBgZqZeiok39n+8/fnfM7nltW38E7vO8xrnsfyxcvZf36mtE3jh/GQB64cFOOhRVXpGOygZ7gHWluQhnp0c6m3odYGRchYchPwCVzg49dxPgj3i8g+qvps6SQvD3kFJ05q6HKYrVPVcHFFqjzZghO/evBH8LW2IjKyxKeqRLu62PHBUTfJl51H1z6at4KxUFfpseviGMtvKkYoGqK9v52hyFBSuaoS6B1gm/mL8hFlwgUnFpEv47KSJGYs2Q4XrP2rqpoxY4mI7IGzyE5R1Z94ZQHc/uCXVfWwUstfasak0ETEj0szvqeqPl10qSpMNoX25rLlbg9awtRTdGCAQFsb2956S5kkzI1H1z7KFU9eQdAfTHqaPv+D59eE1WSML/pCfWwe2ExU008xBnwB5rdYtP1sFJKxREQuBC4EpiQkPUVELsGl0ZmsqkOZ2o8HxprUDibgjwnGVzbkW1bfQtAfpDHg9sw1BhoJ+oPcsvqWSotWFdi+svIQ1SjtA+1s6t+UUZkZObMYeDFN+WpcxKXR2r6RqMwS2tYBOxYuXmUpxG2/djwh8mA8pW15p/cdJtdNTipr8DfwTu87FZKoerB9ZeWhP9TP5sHNRKK1k15m4Xl/OBS3BrUd8Abw7TVXfuK+Mg1fSMaSbG1jx8c1hSi0CWmhwfjJhjyveR6bBjbRGBiZHh2MDDKveV4FpaoObF9ZaQlHw3QOdtIXKigwT9XhKbNrcU4ZHcAc4NqF5/3hrDIqNSMDY5pyVNUI7umkoLiIRmlZvng5oUiIgbCbHh0IDyR5pD269lFW3L+CQ+86lBX3r+DRtY9WVuAyUq7gzhMNVaVrqIt1vetqTpl5fAWnzGLTdv3e56+UafxCMpZkawsjltq4JW8LTUR8uLna6UA7LrSUUYVkc6N/dO2jXPTYRfSEeohEI7QPtHPRYxdx6b6XbuUwUohXW7Eotgy2r6z49If66RzqJBSp6VvCdmx94+/3ystBIRlLVgNHiEhTyjraIpyT36vFEbFy5KXQROQs4Bs4ZQawJ/C0iPwWeEhVv19k+YwC2X/+/mlv/Fc/fTWdQ534fX4CvgBRonQOdXL101cDxJXHpMAkOgY7aKlvYXLdZDYNbOKKJ6/gfMrnKZnorVksGWxfWfEYDA+yZWgLg+HB0SuPf97ATTMmKoQmr7wc3AP8l4hsr6qvQ1LGkvNGafs7XDzcY4BbvbYB4FjgT+PdwxHymHIUkVOB7+EyPx9L8hrao4wSn9GoLtZ0rcEnPnzeT8CHD5/4eK3zNa548go2DWxict1k3up5i86hTiLRSMU8JUvhrdmydCmzLrqQQFsb0a4uAm1tzDKHkLzoD/Wzvm896/vWTxRlBvBtoB6nxPDe673ycjDmjCWq+gzwS+BqEfm8iBwM/AJnXX6jTPKXlHwstH8HvqOq53r70BL5B+WbQzaKgYCopBQJUaJx5QEQ0Qg+8dE+0E5znUsDU25PyVJ5a44X555qYjA8SF+oj/5wf015LubKmis/cd/C8/5wFhXycixCxpKTgW/iootMAZ4DDq2V/cT5KLTtgPszHOvDXRxjnLCwZSGvd70OOEWmKFGN4hc/Df4RZ4mgL0g4GiYUHVkX6RjsoD/cz6F3HVqWNTXz1qwsUY3SG+qlZ7in1tfHcsJTXhXzaCwwY8kAzjj595IIV2Hy8XJsBxZmOLYLYJubxhHnfOAcWuta8YmPKFF84qO1rpXtp2zPYGRk+mh6w3Si6o6rKpsHNtM+0E5ToClpPauUHpKjeWtWE7XkOToUGaJ9oJ21PWvpGOgwZWZUPTmHvhKR63GZog8C3sR5N34AN3f7V+APqvofJZKzrGQLfVVLpPMcBLYKl7WpbxMRIgxHXGLGlroW5jbPjfczEB6grbGNmw65qayyZrMKC/WKHEv7Wgg1Fo6G6Qv10Rfqi3/f5cJCXxmFko9CmwE8BmwDPAksBR4H3gNsBD6kql0lkrOsTBSFlonEm3mil2ODv4FXOl8BYG7z3PiamqrSPdzNfUdVx77SQhXLWNuvuH/FVlOj5VD2hRKJRugP99MX6quoc4cpNKNQcl5DU9V2EVkCnAMcArzmtb8G+K6qdmdrb4wfEl39V9y/gpCG4jfpOn8dw9HhJCeRalvPSvSKBOLvt6y+JSeFlk/7ROW/qX8Ts5pmJf1VVWOoMVVlODrMYHiQgfDARPJQNGqcnBSa59W4Gy5dzGW4BHHGBCDVw3B6w3TW969nKDKEqlZlEs9CvSJzbZ+6P27zwGbW9a1jnsyLK/tyO9CkI6pRhiJDDEeGGQgPMBwZtiDBRk2Sq1OIAquA95dQFqMKmdc8L8lJpKW+hWkN02gKNtE93E1bY1vVrRGlygz5WZG5tk/dH9fW2IYgbOjfUFYHmkg0QigacpE6BjtpH2hnY/9G1vetZ23PWt7qfosNfRvoHOxkMDxoysyoWXKy0FQ1KiJvA5NKLI9RZaTLUBz0Bblq/6uqSoklkmtW5UyOH8sXL+eixy5iXe86ItEIfp+flmALX1mSvNUy1ZJrqW9BUTYObKR7uJv+cD8zGmcwvdEF1sln6jMSjRDWMOGoe8WUUEQjRDVKJBohou411iS9hlFr5LMP7QbgHBH5g6qW1/2pStkyuIUtQ1sAkjJYj5VV61fx61d+zYb+DcxqmsWROx3JktlLkALWvv93/f8m9XnUTkex5+w9c26/cPJCTt39VO565a6RPhYdxcLJC3m7++3kyqOImXgeidcrqTxDnafefYo7/nkH6/vWM3vSbD6z82fYa85eacfZeerOnLnHmfzqn79Kqr/z1J3Z0Lch3t8PnvkBAX+AxkAj7/a9y2V/u4wv/ssXAadQ4gmS1H3uHuqmfaA9LufMxplsHtxMQ2Bk356IsGjaIr774e/y2d9/lpa6FsLRsNeN4hc/b3W/xfq+9fFzVTSuqFCIEjUlZRhjIB8vx8uB5d7H+4B3Sc6JpqpaE+FTcvVyTFRohbJqwyquf+56gr6gc7yIDBOKhvjCHl9gyawlVdNnJSjFeZz/1/PpHOykPlAfLxsKDzG1wQUjz3Tsiv2uyFmubGMk9mM4zMvRKJR8LLTzE/6fLoKrUiPxwCrBr1/5NUFfMH7zqw/UQ9iVj/WmPdY+V21IYynmKEMhbYt9HtnY0L8BQWjvaSccDRPwBWitb2VDv7PgmoPNSfXr/HXxYzGWzFrCF/b4QsbzPXKnI7n+ueshTJLCO3KnI8cks2EY2cnZQptI5GKhfePxb/D713+fPW93Ds+PsWmnochQxqnFen992nLIPtWZzR07aZosYdyIRtJuqK3z1xGQLM8/4qblhiJD8T7Vuzj1/noCvkDyWJLYVJLfU86pe6g77XkqytT6qfFjSf1I8ufEOiLOcSM2FZhI0BfEL/54DMv4WKoIgt/nJxQNUeero62pjcl1k/GJDxFBEPd/790nPtb2rnVrcRrBL34WtCxghyk7xI+nvvziH3n5/EllAV8An/gI+AL4xe9k9bIlBHwBghKM/z/gCxD0Bd3LH6TOV0fAF6DOX5d0XtWEWWi5ISLb4GI5fhR3DR7AxXJ8K4e2DTgv9RNw4QqfBc5V1ZUp9f4d+DCwBJgNXKKqFxfxNEpCIRmrJzThaLjokRQ0g3ZM9bgrBgPhgbzqD0WGGCL37BKJ5zIYGYRC49hmeHDYPLi5wI6TCUVDhLKl+IuO1Ovrzi+BZUQjvNH9Bm90lyvTSHoC4hRbnb+OOp97r/fXUx+od+/+ehr8DdQH6mn0N9IQaKAx0Bh/NQWbaAq416TgJCYFJ9EYbMS/Vcxyo9iISBPwEC6p6DLcX8blwF9E5L2qOtqP8ibgE7jgyq8DZwH3i8g+qvpsQr1TgW5cdpUvFPcsSocptDFy0qKT2H/e/vSGetNXyMHwTbzpv7LlFf74xh/jT96haIiIRvjYdh9jxyk7jmmMWJ+xJ/aYx1xin6lK9JpnrqEh0DBiEamrMxge5Kz3nZV1vGufvTbJ8osxEB7grPedldbRITZ+XA7duvz1rtd54M0HCEjCeWiYgxcczMLJC5Pr60i7xP+nlv307z/Fh4/+cH88VmVjoBFFOXaXY3mr5y1e2PQCPaEeWoItDEacu3vAF3D9qXuoaQg0cOA2B8a9EKMajb8eX/c4g5FB/OKPyxCJRqjz1/Hetvcm1U18xbwaY44i4Wg47tEYjobjHo6x6xD7XiOa21NDWMOEw2H6w/2jV84RwaX1aQ4201zXzOS6ybTUtdBS5/Lotda30lrfypS6KUxpmMLU+qlMCk4qijPVBONUYHtgF1V9FUBEngdeAU4H/jtTQxHZAzgeOEVVf+KVPYJL/HkpcFhC9cWed3uAWlVoInIacAYuGPFW82CqOmEe0XaZtguzmmYVzSlkz9l7svPUnePrMXOb5xa8/rTXnL3YZdouefV5z2v3pHVkmDl5JvvM3SfreL97/XcZ235o7ofGfB4HzD+A3WfsHj+PeS3zCr42j77zKJ2DnbRNakuSdWrDVD6946e3qr/iTytoDjYn3YBVld5QLyctOintGE+uf5JZ9bPStkndAlAMVDWeGSGsYUKRkLM4o6Gk/w9HhhmODrv3yLCzvhNf4SEGIy6KyFBkKB5NZCA8QH+4n95Q71bTtYrSH+6nP9zPxoGNOckb9AWZ2jCV6Q3TmdYwjZlNM9lhyg4c957jsk6zT3AOA56IKTMAVX1DRB4DDieLQvPahnA50WJtwyLyC+A8EamPJflUHZ+bFXNWaCJyEvADXKbTPYCbgSDuIm0CflYKAScSS2YtKbr3Yb59FuLIUEoniGJfm3xlndU0aytlPRwZpsnfxPl/PT+tU0imNrOaZhXtPBIREYJ+t2ZWKmKenTFreSgyxHB0mE9u/0nmNc+jd7iX3lAv3cPd9Az30DPcQ/dwN11DXXQNddET6on3FYqG2Ni/kY39yQrwkbcf4eTdTq7afY4VZjEuoWcqq3GZqEdr+4aqpprmq4E6YEfv/+OWfCy0c4Bv4RYUPw9cp6pPi8hU4GGguIsZ44CAL5B2im08s9+8/Qj6gkl7vo7Z+Rg+OOeDJW2bSiF77zL2mWApLZ2/lHp/Pb96eWSv2rG7HJtR1uPfczzff/r7DEeGqffXMxQZone4FxEhTJiWYAudg5187/++x5SGKQyEB2j0N9I37JY0Ym3Gu5djqsdpwB8gEA7wzMZnOGbn0e6nbpq2a6iLzqFOOgc76Rjs4IX2F3jq3aeI4vLxtQ+2c8WTV3A+1RWBJs7FrYeSkuCTi7vKFZl7GtCZprwDmFpA29jxcU0+Cm0nYCVuWTyK0+ioaqeIfBOXBfWaoktYxTTXNcdj9tUSh+94OIfveHjZ2xaTXNK/fGqHT/GpHT6VU3+f3OGTtNa3JvXZGGgkFB0J3DwcGaY31MtAZIDtW11eOZ/4aAo20RfqY17zPJYtWsZ+8/dLivgRI906YOw9cf1RVYni2sbW0aJans3YG/o35LSlIRMBX4DpjdPj0VMAHln7CNMbp9MQaKDOXxcvzzWYdFlxyuxanFNGBzAHuJaLW88qo1IzMpCPQhsAfKqqIrIetzD5hHesF5ibsWWNUWiuLaO0pAYNjsVQLPSJPzELAcChdx2aFPpq8+BmlzBVo4g4JwkaYEr9FO467K6kvuKu80VcdVZ1WcdjCjDquWTGymNKNBQNMRgeTLttYTRKMY2aTklWY5YCj6/glFls2q4/obwcCq2T9JZYJusrte22GdrCiKU2bslHob2Am2N9AHgUOF9E3gDCwMXAP4ouXRVSqpulUTwKTR+TK/Oa5yXlPwtFnbt/0DeyhlXOG7OI5OU6H3MiSfSODEVdZvBYdvBUSrFOOqtpFut619EX6iOiEYK+IC11LWw7Od29t+Jsx9Y3/n6vvBysxq2FpbII+HsObY8QkaaUdbRFwDDwavpm44d8dljeyMiTwYVAMy5T9RPAzkBNZKsejdQI642BRoL+ILesvqXgvh9d+ygr7l/BoXcdyor7VxQ9KvtE4Z3ed2jwJ69tlkKxLF+8nFAkFL/5+8VPVKPMaJwRr1NtueISiTmRNAQa4q+WuhZmNs1kQcsCZjbNpLW+laZgU9zRJBYdZWrDVHpDvUxtmFpwKLXdZ+xO52AnoWgIH754vr0qDc/2BtCUUtbklZeDe4C9RWT7WIGILAT29Y5l43c4R774Yqfnln8s8KeYh+N4Jp8En4munq+KyGJgH9yX+biqtpdAvqqj0FxbmTDLr3ikWk5QGsWy//z9OZ/z49PPC1oW0DHYgd/nr9pccbkiIm4DdXDk3h2KhOgL9bHv3H3Za/ZeRUtD80L7C0xtmBq30Op8dbTUtbBqQ1Vmjf82bg0NnGXWhNvC9O0yjf8j4GzgbhH5Om7n5mXA27gA8gCIyLa4JMyXquqlAKr6jIj8ErhaRII4JXwGzrr8XOIgXjLnhYwYPYtE5Gjv//em8ZSsCjM8O6EAACAASURBVLIqNBHpAD7ieTPeDFymqm8AeDvSHyiDjFVFqW6W5Zommwjkmj6mGKSuq9Xy+mrQH2SKfwpTmAKM5GELRZ2iG2vm6w39G2itb2Vqw9S4U4iqVuca2sVd93Fx61lUyMtRVftE5CBc6KvbcKGvHsSFvkqM8iC4FdrUWbiTcQ58l+NCXz0HHKqqT6fUOxsXiSTGMYxYdtsBawo+mRKQNZajiAwBB6rq30QkCuytqk+VTboKkS2WY6IllXizLDTJZczBIHUTbvdwN/cdZc5T+VLLiqVaGQwP0jPcw0B4IC/rLZaVINHLcSA8QFtjGzcdclO2phZmxEhitCnHN4FTRSTm0vR+L7hlWlIDXNYiqdNMxbpZjsXys5t2ZlItJ6P0xNbhVDUeVaQ/1D+qcos7mkScQ814nqo1KstoFtopuHnZ0ZxHBJcPrSZCX+WaD62Y5Gv5lcpSNErHD5/9Ibe9dBv9oX6agk2cuOuJnPG+MyotVklRdSGxeod7swbEXrVhFb995be0D7bn83BmFpqRxKjpY0RkDs6L8S/Al4CXMtVV1QeLKl2FqIRCg/wsrhX3r9jKostxmsaoAD989ofc8PwNzrUePxEiqCqnv/f0mldqMYYjw3QOdmZUbJY+xiiUUb0cVfVd4F0RuRX4Q8wpxCg++UyTlcrb0igNt710GyISzykXIECYMLe9dNuEUWh1/jpmTZrFYHiQjsGOoqdfMoyc96Gp6smmzKqHec3ztsqTVs17niY6/aF+/ClhQfz46Q9VpfdzSWkINDBn0hymNkxNcoIyjEIZzW3/ojz6UlW9rEB5jBwpp2u6UThNwSYGwgMEEv7kIkSS9nlNJETEbdoONNE+0B7PdG4YhTDalOPFefQV2+CXlQLTh1+BSwn+AVz8sZNV9ZYMdU/FRS+J7Zn4rqpen8uJjAdK5W2ZC+ZdmT8n7noiNzx/A2HCSWtoJ+56YqVFqyhBf5A5zXPoGurKnCzXMHJkVKeQog7m0oc/hwvuGdvlfjlut/2o6cNFpAd4Fpc6/CQyKDRPmd2AS3fzAHAwcD5wlqr+cDQ5K+UUMh4w78qxMxG9HPMhFAnlm8vN5iuNJMqt0L6My6iamD58O1z68K+qarZsq4iIz0sLvqPXZiuF5sUmWwf8UVWXJZTfjEtGOkdVQ9nGGU2hVYuFUgk5zLvSqCJMoRlJ5BOcuBikTR8OxNKHZyXHtOD7AG3A7SnltwHTgf1yljYNMQtl08CmpJiL5Q4kXCk5yhX41zAMI1+yKjQRiYpIJMdXLsmVFgMvpilfjUthUAxiqRVSx4mlFi9onFJG2x8Pcph3pWFUFhHZRkTuFJEuEekWkV+LyIIc2zaIyLdF5F0RGRCRv4nI0lHaHCciKiJri3MGpWM0p5BLgWLOSRaSPjyfMUgzTlHSjFfL/q9KyWHelYZROTw/hIdwfgjLGPFD+IuIjOqHANwEfAIXXPl14CzgfhHZR1WfTTPeFOBqYH3xzqJ0ZFVoqnpxmeSoOCJyGnAawIIFmR92ypWaZDQqJUclvSsrTbWsnRoTmlOB7Un2Q3ge51NwOs5HIS0isgdwPHCKqv7EK3sEN3t1KW5JKJX/xDnyvQt8pHinURrGtIYmIs0isq2XUycfCkkfns8YpBkna5pxVb1RVZeo6pK2traMnacmdRwID1TEQqmkHPvP35+bDrmJ+466j5sOuWlC3NSrZe3UmPAU4odwGBACEnNbhoFfAIckBKEHQET2BU7AWXHjgrwUmoh8UkSeBrpw5uruXvmPReT4HLooJH14rsTWylLHia2dFTTO/vP35/wPnk9bYxvdw920NbZVxGW9WuSYKFTL2qkx4SnED2Ex8Eaa5JyrgTpgx1iBZ6zcCHw7UXlWOzlnrBaRTwN34ZLJnYszRWO8gZvP/Z9RurkH+C8R2V5VX/f6XYhLH35ezlJn529AOy4Da2IC0hNw1tljhQ5QLalJqkWOiUC1rJ0alWf3W3c/lJQEny8se6FcSQsL8UPI1jZ2PMa5uEzc38pXwEqSj4X2DeAnqvqvuEXCRF4Edsuhjx/honbcLSKHi8hhwN2kSR8uIuHU0FsicoCXBvxQr2iJiBydkBocb4/ZhcAyEblcRA4UkUuBU4CLVNUiohp5Y96dBsSV2bXAHJwimANc65XXBN4+3wuAs1V1bGnIK0Q+Cm1XRuZeUz0fO3F7vLLieeAcBPwTty/sZ7gnnINyTB9+CXAH8APv81ne5ztSxrkeOAP4DHA/8Fncl3PtaDIaRjqqZe3UqDhfwXkYxqbt+r3PXynT+IX4IWRrCyOW2vdxnpRPiMgUz9OxDhDvc2OaPqqCnKccgW5gRoZjC4FNuXTixWw8apQ6a0gTBUBVD8xlDK/uDSRYfYZRCBPZu9NIYju2dizr98rLQSF+CKuBI0SkKWUdbREwDLya8Hlb0ivITuB7wDn5CF0u8lFofwa+JiJ/BHq8MvU8Y84G/lhs4QyjmrA1SwM3ozSHEQsNXCzacqXWKsQP4Xe4Wa5jgFu9tgHgWOBPqhpLeXAc0JDS9jxcUPhjgKrdYJ2PQrsAeAp4GbgXN+14HvBe+P/tnXmYXVWVt99fVaUqqYwEAwQIJIBxYGqUZlQaRRAQEbWdsGnBVnBseNRusbVl0P4EgwgOrQwKonaD0iLixCSTQJQggkaZEwYJEAhJyFSpYX1/rH1Tp27uWHXvrVu31vs85zn37LOns8+5Z5219tp7Mx04pua1C4IgaC4W4H1o4EKtG3eeWNCg8i/CFYirJeUmeP8CBfwQgEeAM83sTAAzu0fSFcB5yYtxCd41Mw93oiPFW5hfqKTjgR4zu7k+l1UbqlngcykuoX+OL/3SDxwELAT2NbOn6lHBIAiCZiF5M34UH2g8M+0/2igvxxr4IZwAXILPLvILYA5wuJn9oc5VbwgVz7Yv6Qjg1gqmVhnzxPIxQTAmiNn2gyFUY3L8BdAr6W7cA+Y3wB1jza0zCIIgaE2qcdufD/wr8BjwAXzQ8guSbpF0WrkZm4MgCIKgngx7gU9Jr8RtuW8FDgbMzKrR+JqWMDkGwZggTI7BEKoWQGn5gtcCrwMOAfbCx6jdUtuqBUEQBEHlVDOX45m4Rvb3+CC83wI/Aj4E3FPhatJBEARBUBeq0dA+h4+7+BrwZTOraGaQIAiCIGgE1TiFnAxch0/yu0zS3Wkp7yMkTalP9YK68uD1cOlRcN7uvn/w+tGuURAEwbCpZmD1183sbfh8jvvgA/peAfwvsELSiJdlCRrIg9fDrz4FLz4DE7fw/a8+FUItCIIxS9VOIWZmkv4MTMNnbs4JuP1qXLegntxxPrR1Qme3H3d2e8/oHefD/ENHtWoFefB6r9vKx2DGjnDAyc1ZzyAIRo1qnEIOwJ1CXgfsj89f9jxwMz7R5U11qF9QL1Y+5ppZlgmTYOXjo1OfUuS0ybbOodok54RQC4JgE9X0of0W+AQ+0/6pwN+Z2VZm9k4z+5aZ3V+XGgb1YcaO0Lt+aFjvepixw+jUpxRZbVLyfVunhwfBOEPSHElXSlolabWkn0iq6I8raWLyfVgmab2kOwtNiiFpS0nnS3o0xVsi6RuSZuXFO0vSfZJWpnj3S/p8Gt7VcKoxOe6Nu+cPbyR20FwccLJrORtxzax3PQxs9PBmYyxpk0FQR5Kg+A2+qOj78Nn2vwjcJGmPCuba/Q7wJnxB0kfxiZavlbS/mf0xlSF8mZr5wOeBv+JrpJ0J7J3i5uTANHyy4wdSnQ7AV2Z5NfCWmlx0FVQs0FplNuYgMf9Q4JzUL/W4a2a5fqlm66+asaObGTszH33Nqk0GQX35ILAT8DIzexhA0n3AQ8BJwLnFEkraEzgWeL+ZXZLCbsEX/jwTODpFfSkumE4yswtT2M2SBoBv4YLuAQAz+0heMTcmoXuqpJeY2XMjvN6qaImpqoJhMv/QzQVVM/ZXjSVtMgjqy9HAwpwwAzCzJcnL/C2UEGgpbS9wRSZtn6TLcQHUlRb57EynV+elX5n25bqqnk/7vjLxak41fWjBeKAZ+6vmHwpHnANTt4YNK31/RA0EbIzDC8YeuwJ/LhC+GDcLlku7xMzW5YUvxoXYLpnjW4H/lLS3pCmS9sHNj78ys7/mZyypI8V7A+5r8V0zW5kfr96EhhYMpVn7qwppkyOhGTXR8UyzmblL8NeXv+JwvA9qHr645oJX3P/XhizwiS8q+kKB8BX4MKrhps2dzw3NOhJfQPSuTLxfAO/ITyxpN+BPmaDLgBPL1KUuhIbW6lSrhYwl78eR0Iya6HhlDA3yT8Lsm8BsXBDMBr6ZwluJi/CxxR8C/iHt9waulJQvNx7G5/g9GPgPfAWWyxpW0wwh0FqZ4bwoDjjZ+6c2rgMz37dif9XKx1zzzNIMmuh4ZGx9XPwb7s2XM9utS8f/1qDyX6CwJlZM+6o0LSRNTdKbgPcAx5nZBWZ2q5ldABwHHAm8OZvYzDaY2SIzu8XMvoSvm3mspIZPthECrZUZzouiXv1VzcZ40UTHAmPr42Ieg8Isx7oU3ggW431h+bwS+EsFaecVGCP2StzlKudosnva35UX7/dp/4oy5eQWk9ylZKw6EAKtlRnui2L+oXD8z+GU+3z/1B/grB3gjJm+v/ns+tW5UdRKEw3HkpEzbQ6sfhqeexCe/Qs8/zCsWd6sHxdLgHyB0J3CG8HPgP0k7ZQLkDQXODCdK8U1wAQy/WCSOoB3AdclD0eAp9N+n7z0+6b938qU8w9p/0iZeDUnBForUwst5Oaz4dYv+wu/bYLvb/3y2BdqtdBEx1DfT1NhBhvXwppnYcUS2GY3WP8c9G0E2qCvB9Y9C3NfO9o1LcQCfNq/nFDrTscLGlT+RcBS4GpJb5F0NHA18ARwQS6SpB0l9Un6fC7MzO7BXfbPk/QBSYcAl+Pa5WmZMn4CPAVcJunDkl4n6cN4v9gTwFWpjD0kXSfpg5IOkXSkpLOAc3BvyDvr1gpFUEz8sTl77723LVq0qHzEZifryZcdv1XNi/usHVyItWccYvv73Hx5alOahBrHpUdtPuD7xWehby1MnN703noNZaDfhVjvOt9n3ztXnQgrn4CNa2CgD9o7vf1m7uQWguKo3tUuxCh7OZKmufoqcCjeBjcCp5jZ0kycualuZ5jZ6ZnwScB/4QOsZwD3Ap82s5vzypgDnI7P3zsbWAbcAJxuZn9LcbZO9dgf2AY3vT4KXApcnNH4GkYItAK0jECDjDt03mwglXLGTNfM2jLvjgGDgV44bUXxdOOB83Z3zUypbTasgtV/AxuArXYd3gdEq2Dm19+73oVYX4l32/eOgq7p3o4dXYPpN6x0s3dxRkWgBc1LjENrdUY6fqtrimto2UfF+j18rFNq7FMl46Lyp+Rau9xfxB0TB51wmnlJnlph5gKrv8f3fT3Qv3GoFlaKadvC2ueH9veGg04wDKIPbSzTCIeE/T4KmJsZB9IeS+FjmFL9X5X2jeU7lvRt8PApWw3GaV5vveoZGIDeDbD4avjOG+HcV8BFb4C7L4NVT7ojx4bVLtCqsfzs9T7X+Deu97StOlQkqDthcizAmDA51qJ/rFJuPhsWfhN61rhmtt9H4eBP17aMRlOo/2vjOncOgcLn2idA98yhWhsMmnQ3rITOKTB51uZ5lu4LGn0G+r3/aqDPf1u/7/t7h4YvvR1uPdvN0B0TXYgP9MJBn4a5B5Yvp68HXlzmptlVf3NBuOpxWP6Aa7hqgx0PqNQ0HibHYAhhchwOzTBNzx3n+8tm7XNu3sl1pNfDvHXwp8e+AMun5BRftvm5/l544RHYYuehWtuex6YIBtO29/uxcV3tJ1HOfXiaeVnZ32beb5f7TTq2gRRvwMOzgsr6PXygvzpt6p7vuTCbMNGPJ0z06W7/cCnM3gPWPedtsHa579c8496Ma56BNU/DuudL5e71evcP/VkOgioJDa0AJTW0rGbU3ukeWwO98LrPwrzXNK6SFxzsTghq8/6a3Ett4nQ46ZbG1SMflftozjs/JP5wz5Wt1OZpLz/WTWQTuv204c4LU5J29cJj0PPi4MdC/0ZQO2y582A+a56DnpUwbbtBbWXDKpj8EvfYm7Y9zNkHnvgdrH7Sj1/9/sxzYpsLk5wQyp5r9H+0r8fr37MGelZ7O/SsdnPiwm+6QNskGPsGtbtqaGuHqdvC9O1h+hyYMQdm7gxzX+PHbRX1hoSGFgwhNLRqyc6+MdAHE7qg12DRxf7yahT9yWss530oQT+DHfP1ZOnt/qW++inv0N/rfYPmplLnmok93+umMxsYajrb873w7GJ4chEg/2Do6/EX96Rp/iLP0fuiPwMdncCA77umuln23f8z1DzXOc01lZu+AP0VmufysQEXrP29aZ/53bdx8N5vcs7Y4Pve9en3Bu8D610HfckDMetKn9sGekfYuIJJW7jpdfIsmLK1m12nbANTZ/s2ZSsXalnaO2CLHUdYdjCeCYFWLTlTVe5lMZBecCuWwt/uLvE1Xeoru8i5okksnUtOGjkNLZfm8YVVlFHl1/8zi+FPP/aXUXunjx+68QzY/R2e15+v3Pzcbv8IW728wDVYgd8MDaeAlpI1tRUyv2XbZ0hY1hwHzNkfnvwdvPgUTJwG2/09rHgE7v+5C7n+jS7I1A7W5n1kytSld70LvDXPDNWm1jwD138eHr/TnxG1DdZzoB+u/yy85GUuHPv7Mn1UGW1nINN31b/R42WFaSNpa4euab6pzfvA2jr8HufadPd3wbzXQveWLszaJ4xOXYNxTZgcC1DS5JhzJli3HNaXmws0CBqM2lwYd3S5wOmY6P1cHZO8X69jou8nTHJza27rnJzZpvjWNdW33DCEHJu08GUwbXbttPD2DthiblVXO/JCg1YiNLRqOeBkuPoj3p9QU4r8N0v1FW3qb8nGbyuRpsrwQvn0bywSP/dhpMzvTN4dXZn8Mntl4g05r0zUjFl1yO9sukz6TfGyYW2Dx5vitw3GV3vKus218IGkmeWKHxjw+O0dbt7r6IKJM2Dts6nN25OjhcHWu8LUbWDJrd7/lCs3p81MnAG7v93TtHWkLfu7wzWc7D6nEbVN8LD21Ifb0Zn53eXx6s3cA5vTjByMe0KgDQv5i6UffxF1ToFDThv8k1flsDACKvlSrnWf1lUnpkGwEwfDejfA5C1dyK94NL3g2wY97WbuBO+5fPhlNppqXNNL3YP/eZf3SeU77nRvCft+uPHXFQQtTgi0arnjfPcknDZ7sI+jdwP88bLGejlC+S/l7Iu5a7oLolvPBobplAD+wr7xdO9HGehPAn0yvOYTcMfXMhEL9YllGInQL5g2L2zp7XD3pT7eadp28OoTBu9PKe9JgJce4hrP3d/NpH8/7JSZLDd3Tbu8HnZ5XV546q/rXQtTZsOGFe680T4BJs50J4wgCGpOCLRqyY5fUju0t7vX45rlMLOaJZHqpMVlX9bXnAwd3YMDhDu6fIzUn34Er/7n4eX//KOgjqR1JDNc2wTX/gY2wvQdvH+xP5nlume5dvOSES6NVM3Yvwevh9sW+H2ZPMtd6W/7snvWVTpGb6/3+DYSttzF+1snb+nHG1bBi0+7lvazj8M+J8FOB6XxYFmHkL7Gu+oHQQsQAq1asvP35YRH73p3N853Qx5tVj0+dPJc8HqvemL4GtKdX4NJM2D6toNhG9e5sMm1zZa7DD2Xm31juGTH/mUHNVNkVpTs0AoYvTkVDzjZ69mLa2irn/Tw6XN80PGNp0FnkWsYGPAPgdxMHZvc8zeEsAuCIsRcjtVSq4UhG0E9VmUutWhovdqm2pW367UCcrVzZ2bXXFvzlGuyM3Zwk3W5a2hrcw23a4p/QEyZBdO384HdM3bw466pzfcRFQSjSAi0aqnFwpDFqPVkw+UEzHDKKyUk69U21QqoGTu6Cfj5h2u3AvJwF/PMrf49ZWv3fFzz7GCdBnqHJ2Q70jRnU7d2M/cWO/rsJF1TKp1hIwhakjA5DoeRLslSiGrNapUw/1BPX2g9tOGWlzOjbaTwfIX1aJv8ZVqgtKY597U+qJnkjt/XA33Pwtzjh1+HkZoxu6bB8vvT8IB2NyGuegJm5Q84HwbtE1yLy7ExN/PHmsGB/0EwDmj455ykOZKulLRK0mpJP0krsFaSdqKkBZKWSVov6U5JBxWIt1SSFdiOqf0V1YhqzWqVktMQTrnP97mX73DLq6eGWoxqTZlLb3ONqKMLn5Kqy4+X3jb8OozUjDmk36uMB+hI6ex2k+TMeT5XYvfMmLkjGBc0VEOT1A38BugB3of/s78I3CRpDzNbWyaL7wBvwpc/fxT4KHCtpP3N7I95ca/FlxDP8sDIrqCOrHwMaHdTVG5C3O5Z9VtLq+Rs82WohxZWrrximmYhVj4G3S8ZuoyL2cjaslotMZ+NL8K0OYMeoO2d0L2ta1H1ZEKaKaR7pmuqPWu8Lv1VTiYcBGOARpscPwjsBLzMzB4GkHQf8BBwEnBusYSS9gSOBd5vZpeksFuAxcCZwNF5SZ4zs0KTGjYnnVPhuQeSSaotecU94XP+1YORvqAbTTVCtB7XVs7UWmmdau0BWg0dXb5N3tLL7lntpsnwmgxahEabHI8GFuaEGYCZLQFuB95SQdpe4IpM2j7gcuCNkrpqX90GUmywb71mHSllxmvEStj1pB7eliM1tTabd2xntzupzNjRJxMOZ5KgBWj0U7wr8OcC4YuBV1aQdomZ5U+zsBjoBPJH7r5Z0jpJPZIWNnX/GfjX8vQ53tdh/b6fPifNBVgHir2gYXjefM1Evfr5ivVHjmadRkp7h2tsW8xzT8n28BMLxi6NfnpnAoWmqF8BbFEgvNK0ufM5rgHuApYAWwMfA66SdJyZ/aCqGjeK0TBJFTLjXXpUcwxKHimN7uerhGasUw7JPSUnTvePq/UvRD9bMOZoSTuDmX3czC4zs9vM7ErgEGAR8KViaSSdKGmRpEXLly9vWF030SwmqXoNSg7GBpILtRk7uqdkDNwOxhCNFmgvUFgTK6Z9VZoWBjW1zTCzfuDHwPaSZheJc6GZ7W1me8+aNatQlPrSLCapeswuMp4Y6/2PObKCrXtm9LEFY4JGmxwX431h+bwS+EsFad8qqTuvH+2VuFHs4cLJNqN5XbqawSQ1Um++8Uw9BsePNm1tLtAmzoD1K3yC5fCKDJqURn92/QzYT9JOuQBJc4ED07lSXANMAN6RSdsBvAu4zsx6iiXMxHvczJ4ebuXHBc2iKY5F6jU4vhloa3Onkelz4Im7fF287x3l+6W3j3btggBovIZ2Ee6gcbWkz+Ha0heAJ4ALcpEk7Qg8ApxpZmcCmNk9kq4AzpM0AXf4+DAwD3hvJu178CEAv0z5bo0PwH4VMML1QMYJzaApjkVGMlh9rPDoLXDrWb6EUK3W2AuCGtFQDS3NBPJ64EHg+8APccH0ejPLTpkgoL1A/U4ALsFnF/kFMAc43Mz+kImzBNgKWABcB3wbn5nkcDMbQ8smB2OO8dD/mNNCu6b4IO3Oyb6KwD3fG+2aBUHjJyc2s8eBt5eJs5QCK2Ca2XrgE2krlnYhLjSDoLGMh/7HIQvcysdLdk2F1ctGt15BQIu67QfBqDAe+h8LaaF9PTBzJxdsQTCKxLQAQVBLWr3/sZgWeuApLsA7u33Nt/CEDEaB0NCCIKicclpo11T3hOzoHN16BuOS0NCCIKiOclpoRydM2x7WPuvL1QRBgwgNLQiC2tPW5rP5d88sHzcIakQItCAI6kf3TDdL1msZpCDIEAItCIL60jUVpm0bQi2oOyHQgiCoPxMmwfTtY/b+oK6EQAuCoDF0dMG07UKoBXUjBFoQBI2jozM0taBuhEALgqCxtE8IoRbUhRBoQRA0nvYJyfwYr6CgdsTTFATB6NDRCVPD+zGoHSHQgiAYPSZMhKmzQ6gFNSEEWhAEo0tnd8woEtSEmMsxCILRZ9IWMNA/2rUIxjihoQVB0Bx0bznaNQjGOCHQgiBoDqIfLRghIdCCIAiCliAEWhAEQdAShEALgiAIWoIQaEEQBEFLEAItCIIgaAlCoAVBEAQtQQi0IAiCoCUIgRYEQRC0BCHQgiAIgpYgBFoQBEHQEoRAC4IgCFqCEGhBEARBSxACLQiCIGgJQqAFQRAELUEItCAIgqAlCIEWBEEQtAQh0IIgCIKWIARaEARB0BKEQAuCIAhaghBoQRAEQUsQAi0IgiBoCUKgBUEQBC1BCLQgCIKgJQiBFgRBELQEIdCCIAiClqDhAk3SHElXSlolabWkn0jaocK0EyUtkLRM0npJd0o6qEC8NkmfkbRU0gZJ90p6e+2vJgiCIGgWGirQJHUDvwFeDrwPOA54KXCTpMkVZPEd4IPA54GjgGXAtZL+Li/eF4DTgW8ARwALgR9LOrIGlxEEQRA0ITKzxhUmnQycC7zMzB5OYfOAh4B/N7NzS6TdE/gj8H4zuySFdQCLgQfM7OgUthXwBHCWmZ2WSX8jMMvM9ihXz7333tsWLVo0zKsMgqBBaLQrEDQXHQ0u72hgYU6YAZjZEkm3A2/BhV2ptL3AFZm0fZIuB06V1GVmPcAbgU7gB3npfwB8V9I8M1sykov42g0PcvFvl7B2Yz+TO9v5wGvm8a9vmD+SLIeVbyXxS8Updi4/fNfZU1m87MWix5Xk2QptA5QNK9VWbRhtbW30DVhN26bR1OMe1+u5CcYXjdbQngauNrOT8sL/G3iHmc0qkfZyYC8ze1le+DtxIbebmS2WdBZwCjDJMhcnaR/gd8BRZvaLUvUspaF97YYHOe/Gh2gTtAkGzLcTDpjL8QfOK5VtSS69fQmX3LG04nwriV8qDlDw3J7bTePev63eFL6xP7UfMKF98+NK8myFtukb8Lw72oqHlWorgNzD2Aa0tdWmbRpNtfdiuHka4uTX71JOqIWGFgyh0QJtI3CumZ2aF/5FR3Ey4wAAD/xJREFU4FQzK6oxSroOmGZm++WFvwG4HjjIzG6TdCFwtJltkxdvF9y0+c9m9v1S9Swl0PY4/VrWbezb9DILgqC2dHW0MWDGpAnt3Hf6G0tFDYEWDKHRJsemRdKJwInpcIOkxZnT04FVAB0zZr+6rat7AKB/3Wq1d0/LfRFo4zOP/GG45XduvfOrSB/xAz1r1dY1uWS+lcQvFSftNz8ntWE2sCl84pRNL42BDWtss+NMngM969SybSO5A5XZQNGwkm21lraJ7vfUv24V7ZOm5T6JRtQ2GTY9ozVOMyROBW1bKM/8sCHHpf5TOqNk2/zazA4vU/9gPGFmDduAZ4ALCoT/N7C8TNorcOeP/PB34n+wXdPx2cAGkvaZibdPivemCup5YbHjvN+L6tROF9Y6fqk4xc6VaocK2qll26aSsEa3TbXtMp7aJrbxszV6HNpiYNcC4a8E/lJB2nnJ9T8/7Ubg4Uy8LmDnAvGooByAa0oc55+rB9WWUUn8UnGKnSvVDpUc14NmaJtKwhrdNsPJf7y0TTBOaHQf2inAOcB8M3s0hc3F+7ZONbOvlEi7F/AH4Hgz+14K6wD+BDxsZm9OYVsBTwL/ZWZnZNLfAGxtZrvX8HoWmdnetcqvlYi2KU60TXGibYKR0Og+tIuAjwFXS/ocbgL8Aj5u7IJcJEk7Ao8AZ5rZmQBmdo+kK4DzJE0AlgAfBuYB782lNbNnJZ0LfEbSi7gQfBfwetz1v5ZcWOP8Wolom+JE2xQn2iYYNg3V0ADSNFdfBQ7FO+BvBE4xs6WZOHNxgXWGmZ2eCZ8E/BdwLDADuBf4tJndnFdGO/AZfFaRbYAHcOF4ZX2uKgiCIBhtGi7QgiAIgqAexGz7QRAEQUsQAq2OSPpPSQ9KGpB0zGjXp1mQtIWkn6e2uVfSdWngewBIukLSfZLukfR7SYeMdp2aCUknSLL4TwX5hECrL9cDhwO3jnZFmgwDzjOz+Wa2J/Bz4OJRrlMzcZKZ7WFmewEn4StFxH+VTf3rH8RX0AiCIcSfJIOk7SV9Pa2zti59Bc4tErfsum5mtjA3PGGsU8u2MbOVZnZDJskdQMG8xgJ1eG5WZg6n17HqdaXW7ZKE+sXAx4Geul9AMOYIgTaUXfCZR14AbisWqQbruo1F6tk2pwBX17S2jaXmbSPpq5IeBf4PeLul6cjGGLVul08At5vZ3XWrcTC2Ge2pSpppA9oyvz+Am8bmFoh3MtAP7JIJmwf0AZ8oEP9m4JjRvr4mbZvTcA2te7SvsdnaJp0/HLgL6Bzt6xzNdgF2A+4EJqTjMf+fiq32W2hoGazyr+CC67oBuXXdWo56tE0aXH8kcISZratVXRtNPZ8bM/s1sAVQsxluGkWN2+W1uFn6IUlLgf2ACyV9rGYVDsY8IdCGx67AnwuEL2ZwzsjxSkVtI+k04M3AYWZW7SzxY5WybSNpknwVd9Lx/sCWQEv0xRahbLuY2bfMbLaZzTWzubhTyIlm9o3GVTNodmL5mOExE+8XyGcF/jUNgKTTcVPLLGA3Sd8A9jOzJxtRyVGibNtI2hU4HZ/e7BZJAH3W+nP4VfLcTAL+R9JU3OS2Fu9DK5SuVajo/xQE5QiBVkfMp+06fZSr0XSY2WJiccaCmNkKYP/RrkezY2YHj3YdguYjTI7D4wUKfzkW+9IcT0TbFCfapjDRLkFNCIE2PEayrlurE21TnGibwkS7BDUhBNrw+Bmwn6SdcgFpwOiB6dx4JtqmONE2hYl2CWpCzLafh6R/TD8PAT4EfARYDiw3s1tSnMn40jXrgey6blOBPcxsTaPr3QiibYoTbVOYaJegkYRAy0NSsQa5JdsRXcm6bq1GtE1xom0KE+0SNJIQaEEQBEFLEH1oQRAEQUsQAi0IgiBoCUKgBUEQBC1BCLQgCIKgJQiBFgRBELQEIdCCIAiCliAEWhAEQdAShEAbY0g6XpJJ2mW061IOSdtKukbSC6nODVmMUdLr09I9TYWkfSWtkzQ7E/akpItHs171RNIH0r3fvsp03ZKekfS2etUtaD1CoAX15HTgNcDx+JIoP25Qua8HTmtQWdWwALjQzJaNdkWanbSC+TnAlyTFMldBRYRACzZDUleNsnoFcI+ZXW1mC83smRrl23BG2iaS9gVeC3yrNjUaF3wXmAccPdoVCcYGIdDKIOn0ZDJ5qaRfSFoj6TFJn5fUlomXMwXOLZQ+L8wkfVHSJ1Ne61LeW6XtR5JWSXpC0qeLVG1bST9N9Xle0jclTcorp1vS2ZKWSNqY9p/Nq/fBqT5vk3SRpOVAScEj55OSHpTUI+kpSV+XNCWd3yVd82uA16X8i5qdJH1G0gZJMwqce0DS/2WOt5P0A0nPpTT3Sjo2c/6LwGcz7WyS+jLnp0haIGlpapNHJZ0qSZk4b0jpjpH0XUnPAX9L516e2v3ZVP7j6X6V+y99APiDmT1QJh6S9pN0o6S16f5eL2mz1bwlfSI9P+slLUwmzbImTEnTJH0jPV89ybR3vaT5mTgdkv5D0l9TnOWSfpWLI2mSpPMlLU71XCbpZ5JeVu76UvoPSbovteHy9OwNuf9m9jxwQ2q7IChLCLTKuQr4DXAM8FPgDOB9I8jvONw09hHgY/jX+2WpnPuAtwO/BM6SdGSB9D8AHgbehk/q+kEyX/9yM821+MvgfOAI4GLgP3HTVz5fxyeFPQ43EZbibNwc9Gvgzen3+4Gfpxf7E7iJcTFwV/q9P/Bskfx+CHQC78wGyrWa+Xi7IGkqcAtwGPAZ4K34elk/lPT+lOzbwKXpd67cA1P6CcB1wAl4mx0BXILfy7MK1OubQB/wXuBfUtgvgW2ADwNvBE4Feim/AvcbgdvKxEHSXsDNwDT8+ToeX+jyVkm7ZeJ9CPgKfo+PAb4PXJHSleN8/Pk6DZ8M+EPAn4DpmThX4u1yDfAW/Pl6AL92gElpOxM4EvgoMBm4U9JWZa7xHPx5uxbXvj4NHAX8ssCHwa34R1FnBdcVjHfMLLYSG94PZMAJeeF/Aq7LHB+f4s0tlD4vzIAHgY5M2Lkp/HOZsA5cCFxSoJxv5+X5WaAfmJ+Oj0vxDioQbyOwVTo+OMW7qsL2mJXSX5wXnqvXkZmwhcANFeZ7E3BbXtg3gOeACen4lFTGa/Li3QwsA9rS8Rfz2zyFn5DSH5AXfhrQA2yZjt+Q4v04L942+ddY4bVtV+gZSueezLYl/rG0ApiWCZsBrAR+lI7bgaeAn+Xl9c5UzsVl6nM/8OUS5w9L+XykimtsxwXaOuDjmfAPpLy2T8c7p+f0P/LS/0OKd1Re+BtT+D7VtHls43MLDa1yfpF3/GdghxHkd72Z9WWO70/7a3MB6fzDwJwC6X+Ud3w5rnHvk44PBx4D7kjmo46ktV0HTAD2y0t/VfYgmRU7Mlt7OrV/Sv+DvPT/CwzgL6ai5OWZ7ey/DDhQ0rwUbwLwLuAKM+tNcQ4CHjOz3+Zl+wNc2JQzdx0OPAL8vkCbdAL75sW/Ku/4WbxNvyz33qvU03TbtF9eQdyDcEG1OhdgZiuBnzPYtjsCs9ncyeYq/B6U4y7gX5Kp9dUFtKLDcKHznVKZSHq3pN9LWoVrsmtwra3UfTgMf05/mHcPbseF4UF58XNtti1BUIYQaJWzIu+4B5g4gvxeyDveWCK8UDn5/Vy54+3Sfiv8xdebt/0+nd8yL32+590heel6UvjMQvHNrCfVfSZFSAJgSH0y/Wr/B2wA/ikdHwG8hGRuzJRdyEPw6by6FWMrXEPIb5M70vmSbWJmA3i73IObXR+S9IikE8uUm7t/PaUipX68LfLLTTzN4PXl3P6HmHCT4M9/TgvxEeAi3Iy4CHhW0lc02Ae7JfBcuqfF6vpW/CPmz8B78I+Bv0/ll/pf5MyRS9n8PnSz+T1Yn/aTCIIyhDts7diQ9vm2/vw/aK3YGu+jyh5Dcl4AngeWkNcvlWFp3nH+wni/w19Q+edzL8xt8D4VAFIfxxaUfqE+kZcnJEFsZqslXY0LtC+k/UNm9rtM3BXAXgXy3SZzvhTP4xrve4qcX5J3vNligWb2CHBc0mr2BP4VuEDSEjO7vkS54O1TFDMzSS8weD1ZtmHw+nICb0hfVdJqywl1zOxFvO/vVLkT0zuAL+HP8GdxM+9LJHWVEGrvBu43s1zfJZIm4ubRUuTa4hBgdYHzz+UdzywSHgSbEQKtdjyW9rvh/WM5x4zD6lTeO3EnlRzvxs1NOQHwa7zjf42Z3U+VpJfeogKn7sS/pt+NO2jkeA+u8d9cIs+eInnmuAx4t6TDcGeT/5d3/hbgrZL2zRN0x+IaTE7A9oB74pnZ+ky8nBPLKjN7qEQ9ypK0tXskfRLvP9wNKCbQHsU17Z0qyPoW4ChJk81sLYCk6cCbcNMo+LO2DBdE38+kfRtVWl3MV4ReIOm4dA2kcj6FO/oUG2bQjZsZs/xzBeVfh38ozDGz71VQxXlpX9Y7NAhCoNWOu/D+mQXp670HN+3UakxXPkdKWoC/IPbBHRsuy7yof4g7Qdwo6SvAvbj2uDPuWXaM+eDVqjCz5ZLOAz4laT0uJHbFtapbyPQBDoPrcI3tu3i7fT/v/HeBjwM/lfQ53DHin4DXAf+ShAy45yOpjtcBfWZ2Ny4wjwduSp52f8LbZBe8TY4qY2Z7Fe4h+iP8Xrfj3o+9uFNLQcxsg6S7GOzfLMWZ+EfDDen+CtemuvA2xsz6JZ0JfEvSBbi59qXAvwMvUqYfTdLvgJ/g5sK1ePvtClyQ8r9e0k+B8yXtmK6tE3cg+qmZ3Ybf92+kdvwVrnl/jMJaV7YtHkxpviXpFbgXYw/eT3wY8K2Uf4598X7Tx0vlGwRAeDmW2xj0cuzIC78UWJoXtiuuoawBHgc+QXEvxy/mhR2fwnfJC78Z+G2BeAcBV6eyVuAu5pPy0k5M5d+PvzRW4IL39Nz1MOjl+IYq2kT4F/yDuObxFO6GPSUvXsVejpk0X031ubXI+e1wJ5Dn0zXdCxybF6cDd99fjr/c+zLncq7mD6T0z+Na7WkMeknmvBwPzst3G1woPoQ7MKxI9+fQCq7r4/jLPv8eDfFyTGH749r32nR/bwD2LpDnJ9NztiHd1wNxgbagTF3OwfsBV6X87wM+lhdnAj7E46F0j5fjjikvTefbcQ36qdQWN+Em2HyvzSFejpnw96V2X5fq/Jf0DG2bF+9R4KzRfAfENnY2mW3WTRAEQY1Jg4afAD5oZpfXqYz9cO3uWDP733qU0UgkHYhr/fPN7NHRrk/Q/IRAC4IGIek0fBD0q2yEfzxJO+MDom/DNZxd8cHm64DdzWxDieRjAknXAMvMrJwXaRAA0YcWBI0kN0PL1gwONRgu64E9cBP0DHzIxHXAqS0izLpxB6Jvj3ZdgrFDaGhBEARBSxADq4MgCIKWIARaEARB0BKEQAuCIAhaghBoQRAEQUsQAi0IgiBoCUKgBUEQBC3B/wcB444m1FAtMAAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "pdf = df[(df['voting-mechanism'] == 'QV') & (df['variance-of-pp'].isin([0, 0.01, 0.04, 0.083]))]\n", + "\n", + "ax2 = sns.lmplot(x=\"number-of-voters\", \n", + " y=\"wellfare-loss\", \n", + " hue='variance-of-pp',\n", + " data = pdf)\n", + "\n", + "ax2.set(xscale=\"log\", \n", + " ylim= (0, 0.25),\n", + " xlabel = \"number-of-voters (log scale)\")\n", + "\n", + "plt.title('QV wellfare loss vs n voters, $\\mu=0$')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "### Wellfare loss vs number of voters for each marginal pivotality" + ] + }, + { + "cell_type": "code", + "execution_count": 129, + "metadata": { + "hidden": true, + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# adf = df[(df['voting-mechanism'] == \"QV\")].groupby(['number-of-voters', 'majority-utility-stdev', 'variance-of-perceived-pivotality']).aggregate('mean').reset_index()\n", + "for pmp in sorted(df['variance-of-perceived-pivotality'].unique()):\n", + " pdf = df[(df['voting-mechanism'] == 'QV') & (df['variance-of-perceived-pivotality']==pmp)]\n", + " plt.scatter(pdf['number-of-voters'], pdf['wellfare-loss'])\n", + " plt.xscale('log')\n", + " plt.xlabel('number of voters')\n", + " plt.ylabel('wellfare loss')\n", + " plt.title(\"QV wellfare loss vs n voters, pmp={}\".format(pmp))\n", + " plt.ylim(0, 0.2)\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Wellfare loss of QV vs Variance of Percieved Pivotality" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Wellfare loss vs variance-of-pp for mean of all populations sizes together (plot for the figure)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [], + "source": [ + "# Data for QV right direction, random magnitude \n", + "df9 = pd.read_csv('2020.07.10 QV-right-direction-random-magnitude-normal-dist.csv')\n", + "df9['wellfare-loss'] = 1 - df9['mean payoff-sign-list']\n", + "qv_rdrm = df9['wellfare-loss'].mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1p1v wl: 0.208377083333333\n", + "QV_rdwm: 0.27814285714285714\n" + ] + } + ], + "source": [ + "adf = df[(df['voting-mechanism'] == \"QV\")].groupby('variance-of-pp').aggregate('mean').reset_index()\n", + "\n", + "\n", + "fig, ax = plt.subplots(figsize=(4, 3))\n", + "sns.scatterplot(x='variance-of-pp',\n", + " y='wellfare-loss',\n", + " ax = ax,\n", + " data=adf)\n", + "ax.set(xlim=(0, 0.083), ylim=(0,.3))\n", + "ax.set_xlabel('Variance of Perceived Pivotality', fontsize=12)\n", + "ax.set_ylabel('normal dist. WL', fontsize=12)\n", + "ax.tick_params(labelsize=10)\n", + "\n", + "wl_1p1v = df[(df['voting-mechanism'] == \"1p1v\")]['wellfare-loss'].mean()\n", + "plt.plot([0, 0.083], [wl_1p1v]*2, 'k--', linewidth=1)\n", + "\n", + "plt.plot([0, 0.083], [qv_rdrm]*2, 'C0--', linewidth=1)\n", + "\n", + "plt.savefig('figures/sQV_WL_vs_pmp_variance_𝜇=0_2.png', bbox_inches='tight', dpi=300)\n", + "plt.show()\n", + "\n", + "print(\"1p1v wl: {}\".format(wl_1p1v))\n", + "print(\"QV_rdwm: {}\".format(qv_rdrm))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true + }, + "source": [ + "### Wellfare loss vs variance-of-pp for each n_voters" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": { + "hidden": true, + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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kbRVnHz6NWdNfc//ykHADN1Q0KC0DdUGsyw5AZWjsMrPWqG4fgM53aulATG7gbkbZGnDNrPXK+JiWMsaU+MrCzGwUK3pl4TYLMxu9/CSAwlwNZWajUxnvsygxX1mY2ehUxvssSszJwsxGpzLeZ1FiThZmNjqV8T6LEnOyMLPRyU8CaIobuM1sdCrpPQ1zFvZx7rzFPLlyNePHdjN75tSW3ZXdDCcLMxu9SnZDbv87KlavWQesf0cF0PGE4WooM7OSOHfe4lcTRb/Va9Zx7rzFHYpoPScLM7OSaPc7KprhZGFmVhLtfkdFM5wszMxKot3vqGiGG7jNzEqivxHbvaHMzKyhWdMnlCI5VHM1lJmZ5XKyMDOzXE4WZmaWy8nCzMxyOVmYmVkuJwszM8vlZGFmZrmcLMzMLJeThZmZ5XKyMDOzXH7ch5m1TVnfAmf5nCzMrC3K/BY4y+dkYWZt0egtcJ1KFr7SKa6lbRaSDpS0WNISSafUGP9+SfdKWivpiKpx6yTdlz5zWxmnmbVe2d4C13+l07dyNcH6K505C/s6Ek/ZtSxZSOoCvgYcBOwEHCVpp6rJngA+BnyvxiJWR8Ru6XNoq+I0s/bYqntMU8Nbrczvuy6jVlZD7QksiYjHACRdARwGPNQ/QUQsTeNeaWEcZlYCUnPDW61sVzpl18pqqAnAsorfy9OwojaT1Cvpbkmzak0g6fg0Te+KFSsGE6uZtdjKVWuaGt5qZX7fdRmV+T6LHSKiBzgaOF/SjtUTRMRFEdETET3jxo1rf4RmVljZDs5lft91GbUyWfQBEyt+b5eGFRIRfenfx4DbgelDGZyZtVfZDs6zpk/g7MOnMWFsNwImjO3m7MOnuTdUHbnJQtJXJL1e0hhJt0haIemYAsueD0yRNFnSJsCRQKFeTZK2lrRp+r4tMIOKtg4zG358cB7eFBGNJ5Dui4jdJH0IOBj4LPDTiHhn7sKlDwLnA13AJRHxL5LOBHojYq6kPYDrgK2BF4HfRcTOkt4DfAN4hSyhnR8RFzdaV09PT/T29uaFZGYGvPYmQciudEZbApO0IFX5N1SkN1T/NH8OXB0Rz6lg94WIuBG4sWrY6RXf55NVT1XP9zNgWqGVmJkNQBlvEiyzIsniBkm/BlYDfytpHNlVgJnZsOWus83JTRYRcYqkrwDPRcQ6SS+Q3S9hZiXmR1k0Nn5sN301EoO7ztZWpIH7L4E1KVGcBlwOjG95ZGY2YH6URb6y9c7qN2dhHzPOuZXJp/yQGefcWpq/WZGus/8UEX+U9F5gf+Bi4L9bG5aZDYYfZZGvjL2zmk3y7UwsRdos+ve4PwcuiogfSjqrZRGZ2aC5Pr6YWdMnlKpqrplG93Y/8r3IlUWfpG8AHwFuTPc/lPnOb7NRr2x3S1sxzST5dl89FjnofxiYB8yMiJXANsDslkRjZkOirPXx1lgzSb7dV4+5ySIiVgGPAjMlnQC8MSJuakk0ZjYkylgfb/maSfLtvnrMbbOQdBLwSeDaNOhySRdFxH+2JCIzGxJlq4+3fP1/ryJdnmfPnFrzDvRWXT0WedzHA8C7I+KF9Htz4OcRsWtLIhogP+7DzEabobiXZigf9yHW94gife/Q60rMzKxfO68eiySLS4F7JF2Xfs8iu9fCzErMd3DbUCryuI//kHQ78N406LiIWNjSqMxsUNrdB99GvrrJQtI2FT+Xps+r4yLimdaFZWaD4Seq2lBrdGWxAAjWt0/0t4QrfX9LC+Mys0HwHdw21Oomi4iY3M5AzIazsrUP+ImqNtT82A6zQSrjE159B7cNNScLs0Eq4xNefQe3DbUiXWfNrIFa1T2NhreL7+C2oVToykLSeyUdl76Pk+T2DLOkq8476esNNxuOijwb6p+BHmAq2Q16Y8jeljejtaGZ1VemBuV1dR6ZU2+42XBU5MriQ8ChwAsAEfEksGUrgzJrpGwNyhPq9DCqN9xsOCqSLF6O7GmDAa8+SNCsY8rWoOyeRzYaFGngviq9KW+spE8CHwf+p7VhmdVXthvOmnmstNlwVeTZUP8m6QPAH8jaLU6PiJtbHplZHWW84cw9j2yka1gNJalL0m0RcXNEzI6Ik50orNNc7WPWfg2vLCJinaRXJG0VEc+1KyizRlztY9Z+RdosngcelHQzqUcUQESc2LKozHK42sesvYoki2tZ//5tMzMbhYo0cF/WjkDMzKy8itzBPQU4G9gJ2Kx/eET4fRZmZqNEkZvyLgX+G1gL7AN8m+xxH2ZmNkoUSRbdEXELoIh4PCLOAP68tWGZmVmZFGngfknSRsAjkk4A+oAtWhuWlUmZHtpnZp1R5MriJOB1wInA7sAxwLGtDMrKo2wP7TOzzqibLCR9J319T0Q8HxHLI+K4iPiLiLi7yMIlHShpsaQlkk6pMf79ku6VtFbSEVXjjpX0SPo4OXVI2R7a12/Owj5mnHMrk0/5ITPOudXJy6zFGlVD7S5pPPBxSd8GNniTS0Q802jBkrqArwEfAJYD8yXNjYiHKiZ7AvgYcHLVvNsA/e/RCGBBmvfZQltlQ6ZsD+2D9Vc7/Ums/2oHcPWYWYs0qoa6ELgFeDuwoOrTW2DZewJLIuKxiHgZuAI4rHKCiFgaEQ8Ar1TNOxO4OSKeSQniZuDAAuu0IVbv4XydfGhfWa92zEayuskiIi6IiHcAl0TEWyJicsWnyD0WE4BlFb+Xp2FFFJpX0vGSeiX1rlixouCirRllfGhfGa92zEa6Rm0W26TqoC/0f6/8tDHGuiLioojoiYiecePGdTqcEWnW9Amcffg0JoztRmRvfzv78Gkdre4p49WO2UjXqM1iAenteFS1V6TheVcXfcDEit/bpWFF9AF7V817e8F5bYSbPXPqBm0W0PmrHbORrm6yiIjJg1z2fGCKpMlkB/8jgaMLzjsP+FdJW6ffBwCnDjIeG4AyNib7EeVm7Vc3WUj600YzRsS9OePXppv45gFdZG0fiySdCfRGxFxJewDXAVsDh0j6YkTsHBHPSPoSWcIBODOv95W1RqPG5E4enP2IcrP2alQN9e8NxgWwb97CI+JG4MaqYadXfJ9PVsVUa95LgEvy1mGt5cZkM4PG1VD7tDMQK6cyvu/azNov93Efkl4n6TRJF6XfUyQd3PrQrAzK2HXWzNqv6CPKXwbek373AWe1LCIrlTJ2nTWz9ivy1NkdI+Ijko4CiIhVkqq70toI5sZkMytyZfGypG7SPReSdgReamlUZmZWKkWuLM4AfgxMlPRdYAbZw//MzGyUyE0WEXGTpAXAXmR3cp8UEb9veWRmZlYauclC0uXAHcCdEfHr1odkZmZlU6TN4mLgzcB/SnpM0g8kndTiuMzMrESKVEPdJumnwB7APsCngJ2Br7Y4NjMzK4ki1VC3AJsDPwfuBPaIiKdaHZiZmZVHkWqoB8huytsF2BXYJXWlNTOzUaJINdQ/AEjakqzL7KXAnwCbtjQyMzMrjSLVUCcA7wN2B5aSPQn2ztaGNXrNWdjn9zSYWekUuSlvM+A/gAURsbbF8YxqZXzRkJkZFGiziIh/i4h7nChar9GLhszMOqlIA7e1iV80ZGZl5WRRIvVeKOQXDZlZpzlZlIhfNGRmZVWkgdvapL8R272hzKxsfGVhZma5fGVRIu46a2Zl5SuLEnHXWTMrKyeLEnHXWTMrKyeLEnHXWTMrKyeLEnHXWTMrKzdwl4i7zppZWTlZlMys6ROcHMysdFwNZWZmuZwszMwsl5OFmZnlcrIwM7NcThZmZpbLycLMzHK1NFlIOlDSYklLJJ1SY/ymkq5M4++RNCkNnyRptaT70ufCVsZpZmaNtew+C0ldwNeADwDLgfmS5kbEQxWTfQJ4NiLeKulI4MvAR9K4RyNit1bFZ2ZmxbXyymJPYElEPBYRLwNXAIdVTXMYcFn6fg2wnyS1MCYzMxuAViaLCcCyit/L07Ca00TEWuA54A1p3GRJCyXdIel9tVYg6XhJvZJ6V6xYMbTRm5nZq8rawP1bYPuImA58FviepNdXTxQRF0VET0T0jBs3ru1BmpmNFq1MFn3AxIrf26VhNaeRtDGwFfB0RLwUEU8DRMQC4FHgbS2M1czMGmhlspgPTJE0WdImwJHA3Kpp5gLHpu9HALdGREgalxrIkfQWYArwWAtjNTOzBlrWGyoi1ko6AZgHdAGXRMQiSWcCvRExF7gY+I6kJcAzZAkF4P3AmZLWAK8An4qIZ1oVq5mZNaaI6HQMQ6Knpyd6e3s7HYaZ2bAiaUFE9ORNV9YGbjMzKxEnCzMzy+VkYWZmuZwszMwsl5OFmZnlcrIwM7NcThZmZpbLycLMzHI5WZiZWS4nCzMzy+VkYWZmuZwszMwsV8ueOjsczVnYx7nzFvPkytWMH9vN7JlTmTW9+uV+Zmajj5NFMmdhH6de+yCr16wDoG/lak699kEAJwwzG/VcDZWcO2/xq4mi3+o16zh33uIORWRmVh5OFsmTK1c3NdzMbDRxskjGj+1uariZ2WjiZJHMnjmV7jFdGwzrHtPF7JlTOxSRmVl5uIE76W/Edm8oM7PX8pWFmZnl8pVF4q6zZmb1+coicddZM7P6nCwSd501M6vPySJx11kzs/qcLBJ3nTUzq88N3Kx/gODqNevoklgXwQR3nTUze9WoTxZzFvYx+5r7WbMuAFgXwZguOVGYmVUY9dVQX7x+0auJot+adcEXr1/UoYjMzMpn1CeLZ1etaWq4mdloNOqThZmZ5Rv1yWJs95imhpuZjUajPlmccejOjNlIGwwbs5E449CdOxSRmVn5jPreUH7arJlZvlGfLCBLGE4OZmb1jfpqKDMzy9fSKwtJBwJfBbqAb0bEOVXjNwW+DewOPA18JCKWpnGnAp8A1gEnRsS8VsR42pwH+f49y1gXQZfEUe+ayFmzprViVWZmw1bLriwkdQFfAw4CdgKOkrRT1WSfAJ6NiLcC5wFfTvPuBBwJ7AwcCHw9LW9InTbnQS6/+wnWxfq7ty+/+wlOm/PgUK/KzGxYa2U11J7Akoh4LCJeBq4ADqua5jDgsvT9GmA/SUrDr4iIlyLiN8CStLwh9f17ljU13MxstGplspgAVB51l6dhNaeJiLXAc8AbCs6LpOMl9UrqXbFiRdMB9l9RFB1uZjZaDesG7oi4KCJ6IqJn3LhxTc/fJTU13MxstGplsugDJlb83i4NqzmNpI2BrcgauovMO2hHvWtiU8PNzEarViaL+cAUSZMlbULWYD23apq5wLHp+xHArRERafiRkjaVNBmYAvxiqAM8a9Y0jtlr+1evJLokjtlre/eGMjOr0rKusxGxVtIJwDyyrrOXRMQiSWcCvRExF7gY+I6kJcAzZAmFNN1VwEPAWuDTEbGuFXGeNWuak4OZWQ7FCGnM7enpid7e3k6HYWY2rEhaEBE9edMN6wZuMzNrDycLMzPL5WRhZma5nCzMzCzXiGnglrQCeHwQi9gW+P0QhTNSuYzyuYyKcTnla1cZ7RARuXc1j5hkMViSeov0CBjNXEb5XEbFuJzyla2MXA1lZma5nCzMzCyXk8V6F3U6gGHAZZTPZVSMyylfqcrIbRZmZpbLVxZmZpbLycLMzHKN+GQh6UBJiyUtkXRKjfGbSroyjb9H0qSKcaem4YslzWxn3O020HKS9AFJCyQ9mP7dt92xt8tg9qU0fntJz0s6uV0xt9sg/7/tKunnkhal/WmzdsbeToP4/zZG0mWpfH4l6dS2BR0RI/ZD9mj0R4G3AJsA9wM7VU3zd8CF6fuRwJXp+05p+k2ByWk5XZ3ephKW03RgfPq+C9DX6e0pWxlVjL8GuBo4udPbU7YyIntdwgPAO9PvN/j/W81yOhq4In1/HbAUmNSOuEf6lcWewJKIeCwiXgauAA6rmuYw4LL0/RpgP0lKw6+IiJci4jfAkrS8kWjA5RQRCyPiyTR8EdAtadO2RN1eg9mXkDQL+A1ZGY1UgymjA4AHIuJ+gIh4Olr0DpsSGEw5BbB5erNoN/Ay8Id2BD3Sk8UEYFnF7+VpWM1pImIt8BzZWU2ReUeKwZRTpb8A7o2Il1oUZycNuIwkbQF8HvhiG+LspMHsR28DQtI8SfdK+lwb4u2UwZTTNcALwG+BJ4D/GNoHAAAHY0lEQVR/i4hnWh0wtPBNeTa6SNoZ+DLZGaJt6AzgvIh4Pl1o2GttDLwX2ANYBdySXspzS2fDKp09gXXAeGBr4E5JP4mIx1q94pF+ZdEHTKz4vV0aVnOadGm3FfB0wXlHisGUE5K2A64DPhoRj7Y82s4YTBm9C/iKpKXAZ4B/TK8cHmkGU0bLgZ9GxO8jYhVwI/CnLY+4MwZTTkcDP46INRHxFHAX0JbnR430ZDEfmCJpsqRNyBqK5lZNMxc4Nn0/Arg1stajucCRqVfCZGAK8Is2xd1uAy4nSWOBHwKnRMRdbYu4/QZcRhHxvoiYFBGTgPOBf42I/2pX4G00mP9v84Bpkl6XDo5/BjzUprjbbTDl9ASwL4CkzYG9gF+3JepO9wxo9Qf4IPAwWe+DL6RhZwKHpu+bkfVQWUKWDN5SMe8X0nyLgYM6vS1lLCfgNLI61PsqPm/s9PaUqYyqlnEGI7Q31GDLCDiGrAPAL4GvdHpbylhOwBZp+CKyZDq7XTH7cR9mZpZrpFdDmZnZEHCyMDOzXE4WZmaWy8nCzMxyOVmYmVkuJwtrK0k3pnszSkHS+9JTTu+T1N2mdf6sxcs/o5kn20rqkXTBANc1S9JOzcQk6UxJ+6fvn5H0uoGs29rLycLaQpmNIuKDEbGy0/FU+Cvg7IjYLSJWD9VC041lNUXEe4ZqPUMhInoj4sQBzj6L7AnNzazv9Ij4Sfr5GbKnp1rJOVlYYZLOkfTpit9nSDpZ0haSbkkPgHtQ0mFp/KT0zP5vk91oNVHSUknbpvFzlL0DY5Gk4yuW+7ykf5F0v6S7Jb0pDX+TpOvS8PslvScNP0bSL9LVwTckddWIfT9JC1N8l6Q78/8G+DDwJUnfrZp+kqRfS/puem/ANf1nwJJ2l3RHin2epDen4bdLOl9SL3BSg3ifr1jPbEnzJT0g6YuNyrne9Gn4FyQ9LOl/gal1/n7fknShpN407cFp+N6SbpC0Ufr7jK2Y55G0HZMk3ZrWe4uyd3O8BzgUODeV/Y6SPpniu1/SD2pdNaQ4jpB0Itkzjm6TdJukj0s6v2K6T0o6r9a2WAd0+k5Gf4bPh+zdFXdU/H6I7Pk1GwOvT8O2JbvrVMAk4BVgr4p5lgLbpu/bpH+7yZLJG9LvAA5J378CnJa+Xwl8Jn3vIntezjuA64ExafjXyZ5RVRn3ZmRP8Hxb+v3tiuV8CziixrZOSnHMSL8vAU4GxgA/A8al4R8BLknfbwe+XrGM18Sbvj+f/j0AuCiV1UbADcD7G5Rzvel3Bx4kO0N/fSr/19wlnrb1x2neKWTPY9oM2Bu4IU3zVeC49P1dwE/S9+uBY9P3jwNzapVf/98wfT8L+Pv0/Yz+mCrnYcP9YQuyO5r7/5Y/A6Z1er/3J/v4qbNWWEQslPRGSeOBccCzEbFM0hjgXyW9nyw5TADelGZ7PCLurrPIEyV9KH2fSHYAe5rsGf03pOELgA+k7/sCH02xrAOek/TXZAfL+cqe6NoNPFW1nqnAbyLi4fT7MuDTZM9pamRZrH/e1eXAiWQH212Am9P6usgeF93vyorvr4m3avkHpM/C9HsLYEpEXFynnE+qNT2wJXBdZA/gQ1L1c4YqXRURrwCPSHoMeHvV+CuB04FLSS/dScPfDRyevn+HLInXsouks4CxKb55DWLZQGRP5b0VOFjSr8iSxoNF57fWcrKwZl1N9mCzP2H9geSvyA5qu0fEGmVPV+1/JeYLtRYiaW9gf+DdEbFK0u0V86yJdGpJ9jjmRvupgMsiohWvl6x+Fk6k9S2KiHfXmafm9tYhsvaSb9QYV6uca04v6TNNrLPWNlX6OfBWSePI2iPOamLZkF01zIqI+yV9jOyqpRnfBP6R7OF4lzY5r7WQ2yysWVeSnXEeQXZAg6w66KmUKPYBdiiwnK3IzphXSXo72dMz89wC/C2ApC5JW6VhR0h6Yxq+jaTq9S8GJkl6a/r918AdBda3vaT+pHA08L9pWeP6hyt7J/LOTcRbaR7wcWUvR0LShP7toHY515v+p8AsSd2StgQOabBNf5naJnYke63n4sqRKUlfB/wH8KuIeDqN+lmKB7KTgzvT9z+SXdn02xL4bbra/KsGcfTbYP6IuIfsKvNo4PsF5rc2cbKwpkTEIrL/3H0R0V/98l2gR9KDZNUuRR6Z/GNg41TdcA5Qr6qq0knAPmk9C8jeW/wQ2ZNvb5L0AHAz8OaqmF8EjgOuTvO+AlxYYH2LgU+nGLcG/juy12AeAXxZ0v1kT9mt17vpNfFWxXUT8D3g52maa0gHzlrlXG/6iLiXLLncD/yI7BHY9TxB9hTTHwGfSmVT7UqyJ8BWVqn9PXBcKuO/TtsG2StBZyvrPLAj8E/APWTvWSiyH1wE/FjSbRXDrgLuiohnC8xvbeKnzprVIGkSWaPvLh0OZchI+hbZNl3T6VgakXQD2ZsF/Za8EvGVhZmVgqSxkh4GVjtRlI+vLMzMLJevLMzMLJeThZmZ5XKyMDOzXE4WZmaWy8nCzMxy/T/shnCeEKdjwQAAAABJRU5ErkJggg==\n", 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\n", 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cOivpBKAPeGsz00XEpcClAH19fTHkANbWuchdkozecWXaMZeR37hYjMupmJL+3lpZDTUAVB6W75j6bUDSIcDZwLsi4rlmph0R9e6IUk9nqjbKdLeIFbPnMbDX8S9e31JP9r2EP/iOKlv1oTWllWcWc4FpknYm29EfCxxfOYKkvYFvAIdHxBMVg+YA/1xxUfsw4KyWRFmvvjTWdyZRlOluESvm/qthwfdfvL4V67LvU/b3/61aSY+aLV/LziwiYi1wKtmO/0Hg6ohYJOl8Se9Ko10MbAlcI+k+SbPTtE8BnyVLOHOB81O/kVemuw/KeLeI5fP/zbpAS69ZRMRNwE1V/c6t6D6kwbSXAZe1LrqkTPWovltkdPL/zbpAdz/BDeWqRy3TWY4V5/+bdYFS3A3VcWWpRy3TWY4V5/+bdQGfWZRJmc5yrDj/36wLKGLojyeUSV9fX/T39w9t4pI2CWxm1mqS5kVEX954roby7apmZrlcDeXbHs3McjlZ+LZHM7NcTha+7dHMLJeTRYmbBDYzKwsnC9/2aGaWy3dDQXkeyjMzKymfWZiZWS4nCzMzy+VqKDOzUeqG+QNcPGcxj69czcTxvcyaMZ2Ze7/kDdQjwsnCzGwUumH+AGddt5DVa7KXbg2sXM1Z1y0EaEnCcDWUmdkodPGcxS8kikGr16zj4jmLW7I8Jwszs1Ho8ZWrm+o/XE4WZmaj0MTxvU31Hy4nCzOzUWjWjOn0juvZoF/vuB5mzZjekuX5AreZ2Sg0eBHbd0OZmXWhZm6Hnbn3pJYlh2pOFmZmJdHu22Gb4WsWZmYl0e7bYZvhZGFmVhLtvh22GU4WZmYl0e7bYZvhZGFmVhLtvh22Gb7AbWZWEu2+HbYZThZmZiXSztthm+FqKDMzy+VkYWZmuVwNZWZdq50vDxrtcs8sJH1B0sskjZN0q6QVkk5oR3BmZq0y+LT0wMrVBC8+LX3D/IFOh1ZKRaqhDouIPwLvBJYBrwJmFZm5pMMlLZa0RNKZNYa/RdK9ktZKOrpq2DpJ96XP7CLLM7MX3TB/gAMuuo2dz/wxB1x0Wyl2gmWKqcxPS5dRkWqowXH+BrgmIp6RlDuRpB7gq8ChwHJgrqTZEfFAxWiPAh8Azqgxi9UR8boC8ZlZlTK2MVS2mMr8tHQZFTmzuFHSQ8A+wK2SJgB/KTDdvsCSiFgaEc8DVwJHVo4QEcsi4n5gfZNxm1kDZTxqLltMZX5auoxyk0VEnAm8EeiLiDXAn6na6dcxCXis4vvy1K+ozST1S7pb0sxaI0g6JY3Tv2LFiiZmbTa2lfGouWwxzZoxnXEbbVhLMm4jleJp6TIqcoH7b4E1EbFO0jnAd4GJLY8MdoqIPuB44MuSdqkeISIujYi+iOibMGFCG0IyGx3KeNRcxpiorlHPr2HvWkWqoT4VEX+S9CbgEOBbwH8UmG4AmFzxfcfUr5CIGEh/lwJ3AHsXndas25WxjaGDXlP7gK5e/1a7eM5i1qyLDfqtWRcdv8BdppsAKhW5wD1Yyfg3wKUR8WNJFxSYbi4wTdLOZEniWLKzhFyStgFWRcRzkrYHDgC+UGRaMytnG0O3P1S7qrhe/1YrW7UYNH8TQDufEymSLAYkfYPsrqbPS9qUYtc61ko6FZgD9ACXRcQiSecD/RExW9LrgeuBbYAjJH0mInYDXgt8Q9L6tKyLqu6iMrMcZWtjqGw754njexmosexOVos1ugmg+n/Z7rvLilRDHUO2w58RESuBbSn4nEVE3BQRr46IXSLic6nfuRExO3XPjYgdI2KLiNguJQoi4hcRsUdE7JX+fmtIa2dmpVG2axZlrKprJqG2++6yImcIq4CHgRnpTGGHiPhpS6IxszGrbDvnmXtP4sKj9mDS+F4ETBrfy4VH7dHRs7FmEmq7z9Ryq6EknQ58ELgu9fqupEsj4t9aEpGZjUllvI5Stqq6WTOmb1C1BPUTarur0YpcszgZ2C8i/gwg6fPALwEnCzNrStl2zmXTTEJtJrGMhCLJQrx4RxSp23cjm5m1QNGE2u4ztSLJ4nLgHknXD8ZI9qyFmZl1UDvP1HKTRUR8UdIdwJtSrxMjYn5LozIzs1KpmywkbVvxdVn6vDAsIp5qXVhmZlYmjc4s5gHBi9cnBp+LV+p+ZQvjMjOzEqmbLCJi53YGYmZm5VXkCW4zM+tyThZmZpbLycLMzHIVShaS3iTpxNQ9ITU7bmZmXaLIm/I+DXwSOCv1Gkf2tjwzM+sSRc4s3g28i+zd20TE48BWrQzKzMzKpUiyeD4igvSchaQtWhuSmZmVTZG2oa5Ob8obL+mDwEnAf7Y2LDMbrna+ctPGviJtQ/2LpEOBPwLTgXMj4paWR2Y2ipRtx9zuV27a2NcwWUjqAX4WEQcBThBmNZRxx9zMu5zNimh4zSIi1gHrJW3dpnjMRp12vwu5iHa/ctPGviLXLJ4FFkq6hXRHFEBEnNayqMxGkTLumNv9yk0b+4rcDXUd8Cngv8laoh38mBn1d8Cd3DHPmjGd3nE9G/Rr5Ss3bewrcoH7inYEYjZatftdyEW0+5WbNvblJgtJ04ALgV2BzQb7R4TfZ2FGeXfM7Xzlpo19Rd/B/WngS8BBwIm4AUKzDXjHbGNdkZ1+b0TcCigiHomI84C/aW1YZmZWJkXOLJ6TtBHwW0mnAgPAlq0Ny8zMyqTImcXpwObAacA+wAnA+1sZlJmZlUvdMwtJ34mI9wJvjIi5ZM9bnNi2yMzMrDQanVnsI2kicJKkbSRtW/lpV4BmZtZ5ja5ZfB24FXgl2UN4qhgWqb+ZmXWBuskiIi4BLpH0HxHx4TbGZJarbK28mo11dauhKqqbzq6ugipaDSXpcEmLJS2RdGaN4W+RdK+ktZKOrhr2fkm/TR9fULcX3DB/gFnXLGBg5WqCrJXXWdcs4Ib5A50OzWzMalQNNY/0djw2rIKCAtVQqXnzrwKHAsuBuZJmR8QDFaM9CnwAOKNq2m3JHgTsS8ual6Z9uuHaWFc4b/Yi1qyPDfqtWR+cN3uRzy7MWqRRNdTOw5z3vsCSiFgKIOlK4EjghWQREcvSsPVV084AbomIp9LwW4DDgR8MMyYbA1auXtNUfzMbvka3zv51owkj4t6ceU8CHqv4vhzYr2Bctab1IaOVlq+h2FjXqBrqXxsMC+BtIxxL0ySdApwCMGXKlA5HY+2yzebjeHrVS88ittl8XAeiKeeb8sxGWt0L3BFxUINPkUQxAEyu+L5j6ldEoWkj4tKI6IuIvgkTJhSctY12nz5iN8b1bHgZbVyP+PQRu3UknjK+Kc9spOU29yFpc0nnSLo0fZ8m6Z0F5j0XmCZpZ0mbAMcCswvGNQc4LD0MuA1wWOpnxsy9J3Hx0XsxaXwvAiaN7+Xio/fq2FF8Gd+UZzbSijZRPg94Y/o+AFwD3NhooohYmxoenAP0AJdFxCJJ5wP9ETFb0uuB64FtgCMkfSYidouIpyR9lizhAJw/eLHbDMrVJLhfYWrdoEiy2CUi3iPpOICIWCWp+lbamiLiJuCmqn7nVnTPJatiqjXtZcBlRZZj1kllfFOe2Ugrkiyel9RLeuZC0i7Acy2NymwUKeub8sxGUpFkcR7wE2CypO8BB5A9SGdmSZmqxcxaITdZRMRPJc0D9id7kvv0iPhDyyMzM7PSyE0Wkr4L3AncFREPtT4kKxs/cGZmRd6U9y3gFcC/SVoq6YeSTm9xXFYSgw+cVTbad9Z1C91on1mXyU0WEXE78DngU8B/kjXu5ybLu4QfODMzKFYNdSuwBfBL4C7g9RHxRKsDs3LwA2dmBsWqoe4Hngd2B/YEdk+30loXGF+nvaV6/c1sbCpyN9THACRtRXbL7OXAXwGbtjQyK4WI5vqb2dhUpBrqVODNwD7AMrKnqu9qbVhWFs/UeUdEvf5mNjYVeShvM+CLwLyIWNvieKxk3O6RmUGxu6H+JSLucaLoTrNmTKd3XM8G/dzukVn3KXJmYV3M7R6ZGThZWAFu98jMitw6a2ZmXc7JwszMcjlZmJlZLicLMzPL5WRhZma5nCzMzCyXb50tGb9oyMzKyMmiRAZfNDT4/ojBFw0BThhm1lGuhioRv2jIzMrKyaJE/KIhMysrJ4sSqdeSq1t4NbNOc7IoEbfwamZl5QvcJeIWXs2srJwsSsYtvJpZGbkayszMcvnMomT8UJ6ZlZGTRYn4oTwzKytXQ5WIH8ozs7JysigRP5RnZmXV0mQh6XBJiyUtkXRmjeGbSroqDb9H0tTUf6qk1ZLuS5+vtzLOsvBDeWZWVi1LFpJ6gK8Cbwd2BY6TtGvVaCcDT0fEq4AvAZ+vGPZwRLwufT7UqjjLxA/lmVlZtfLMYl9gSUQsjYjngSuBI6vGORK4InVfCxwsSS2MqdRm7j2JC4/ag0njexEwaXwvFx61hy9um1nHtfJuqEnAYxXflwP71RsnItZKegbYLg3bWdJ84I/AORFxV/UCJJ0CnAIwZcqUkY2+Q/xQnpmVUVkvcP8emBIRewMfB74v6WXVI0XEpRHRFxF9EyZMaHuQZmbdopXJYgCYXPF9x9Sv5jiSNga2Bp6MiOci4kmAiJgHPAy8uoWxmplZA61MFnOBaZJ2lrQJcCwwu2qc2cD7U/fRwG0REZImpAvkSHolMA1Y2sJYzcysgZZds0jXIE4F5gA9wGURsUjS+UB/RMwGvgV8R9IS4CmyhALwFuB8SWuA9cCHIuKpVsVqZmaNKSI6HcOI6Ovri/7+/k6HYWY2qkiaFxF9eeOV9QK3mZmViJOFmZnlcrIwM7NcThZmZpbLycLMzHI5WZiZWS4nCzMzy+VkYWZmuZwszMwsl5OFmZnlcrIwM7NcThZmZpbLycLMzHI5WZiZWS4nCzMzy9Wylx+NRjfMH+DiOYt5fOVqJo7vZdaM6czce1KnwzIz6zgni+SG+QOcdd1CVq9ZB8DAytWcdd1CACcMM+t6roZKLp6z+IVEMWj1mnVcPGdxhyIyMysPJ4vk8ZWrm+pvZtZNnCzIqqA2kmoOmzi+t83RmJmVT9cni8FrFesiXjJs3EZi1ozpHYjKzKxcuj5Z1LpW8YLaJxtmZl2n65NFo2sSa9aFL3CbmeFkwda94xoO9wVuMzMnC+pc136BL3CbmTlZsHLVmrrDesf1+AK3mRlOFnXPHHokLjxqDz+9bWaGkwWzZkynd1zPBv16x/Xwr8fs5URhZpZ0fdtQgwnBDQiamdXX9ckCsoTh5GBmVl/XV0OZmVk+JwszM8vV0mooSYcDXwF6gG9GxEVVwzcF/gvYB3gSeE9ELEvDzgJOBtYBp0XEnFbEeM4NC/nBPY+xLoIeieP2m8wFM/doxaLMzEatlp1ZSOoBvgq8HdgVOE7SrlWjnQw8HRGvAr4EfD5NuytwLLAbcDjwtTS/EXXODQv57t2PvtCI4LoIvnv3o5xzw8KRXpSZ2ajWymqofYElEbE0Ip4HrgSOrBrnSOCK1H0tcLAkpf5XRsRzEfE7YEma34j6wT2PNdXfzKxbtTJZTAIq97rLU7+a40TEWuAZYLuC0yLpFEn9kvpXrFjRdIC1miVv1N/MrFuN6gvcEXFpRPRFRN+ECROanr6nTsNQ9fqbmXWrViaLAWByxfcdU7+a40jaGNia7EJ3kWmH7bj9JjfV38ysW7UyWcwFpknaWdImZBesZ1eNMxt4f+o+GrgtIiL1P1bSppJ2BqYBvxrpAC+YuQcn7D/lhTOJHokT9p/iu6HMzKq07NbZiFgr6VRgDtmts5dFxCJJ5wP9ETEb+BbwHUlLgKfIEgppvKuBB4C1wEcios7r7Ibngpl7ODmYmeVQjJGLuX19fdHf39/pMMzMRhVJ8yKiL2+8UX2B28zM2sPJwszMcjlZmJlZLicLMzPLNWYucEtaATwyjFlsD/xhhMIZq1xG+VxGxbic8rWrjHaKiNynmsdMshguSf1F7gjoZi6jfC6jYlxO+cpWRq6GMjOzXE4WZmaWy8niRZd2OoBRwGWUz2VUjMspX6nKyNcszMwsl88szMwsl5OFmZnlGvPJQtLhkhZLWiLpzBrDN5V0VRp+j6SpFcPOSv0XS5rRzrjbbajlJOlQSfMkLUx/39bu2NtlONtSGj5F0rOSzmj5R7Q/AAAIoUlEQVRXzO02zN/bnpJ+KWlR2p42a2fs7TSM39s4SVek8nlQ0lltCzoixuyHrGn0h4FXApsAC4Bdq8b5B+DrqftY4KrUvWsaf1Ng5zSfnk6vUwnLaW9gYureHRjo9PqUrYwqhl8LXAOc0en1KVsZkb0u4X5gr/R9O//eapbT8cCVqXtzYBkwtR1xj/Uzi32BJRGxNCKeB64Ejqwa50jgitR9LXCwJKX+V0bEcxHxO2BJmt9YNORyioj5EfF46r8I6JW0aVuibq/hbEtImgn8jqyMxqrhlNFhwP0RsQAgIp6MFr3DpgSGU04BbJHeLNoLPA/8sR1Bj/VkMQl4rOL78tSv5jgRsRZ4huyopsi0Y8VwyqnS/wPujYjnWhRnJw25jCRtCXwS+Ewb4uyk4WxHrwZC0hxJ90r6RBvi7ZThlNO1wJ+B3wOPAv8SEU+1OmBo4ZvyrLtI2g34PNkRom3oPOBLEfFsOtGwl9oYeBPwemAVcGt6Kc+tnQ2rdPYF1gETgW2AuyT9LCKWtnrBY/3MYgCYXPF9x9Sv5jjp1G5r4MmC044VwyknJO0IXA+8LyIebnm0nTGcMtoP+IKkZcBHgX9Krxwea4ZTRsuB/46IP0TEKuAm4K9bHnFnDKecjgd+EhFrIuIJ4OdAW9qPGuvJYi4wTdLOkjYhu1A0u2qc2cD7U/fRwG2RXT2aDRyb7krYGZgG/KpNcbfbkMtJ0njgx8CZEfHztkXcfkMuo4h4c0RMjYipwJeBf46If29X4G00nN/bHGAPSZunneNbgQfaFHe7DaecHgXeBiBpC2B/4KG2RN3pOwNa/QHeAfyG7O6Ds1O/84F3pe7NyO5QWUKWDF5ZMe3ZabrFwNs7vS5lLCfgHLI61PsqPjt0en3KVEZV8ziPMXo31HDLCDiB7AaAXwNf6PS6lLGcgC1T/0VkyXRWu2J2cx9mZpZrrFdDmZnZCHCyMDOzXE4WZmaWy8nCzMxyOVmYmVkuJwtrK0k3pWczSkHSm1Mrp/dJ6m3TMn/R4vmf10zLtpL6JF0yxGXNlLRrMzFJOl/SIan7o5I2H8qyrb2cLKwtlNkoIt4RESs7HU+FvwMujIjXRcTqkZpperCspoh440gtZyRERH9EnDbEyWeStdDczPLOjYifpa8fJWs91UrOycIKk3SRpI9UfD9P0hmStpR0a2oAbqGkI9PwqanN/v8ie9BqsqRlkrZPw29Q9g6MRZJOqZjvs5I+J2mBpLslvTz1f7mk61P/BZLemPqfIOlX6ezgG5J6asR+sKT5Kb7L0pP5fw8cA3xW0veqxp8q6SFJ30vvDbh28AhY0j6S7kyxz5H0itT/DklfltQPnN4g3mcrljNL0lxJ90v6TKNyrjd+6n+2pN9I+h9gep3/37clfV1Sfxr3nan/gZJulLRR+v+Mr5jmt2k9pkq6LS33VmXv5ngj8C7g4lT2u0j6YIpvgaQf1jprSHEcLek0sjaObpd0u6STJH25YrwPSvpSrXWxDuj0k4z+jJ4P2bsr7qz4/gBZ+zUbAy9L/bYne+pUwFRgPbB/xTTLgO1T97bpby9ZMtkufQ/giNT9BeCc1H0V8NHU3UPWXs5rgR8B41L/r5G1UVUZ92ZkLXi+On3/r4r5fBs4usa6Tk1xHJC+XwacAYwDfgFMSP3fA1yWuu8AvlYxj5fEm7qfTX8PAy5NZbURcCPwlgblXG/8fYCFZEfoL0vl/5KnxNO6/iRNO42sPabNgAOBG9M4XwFOTN37AT9L3T8C3p+6TwJuqFV+g//D1H0B8I+p+7zBmCqnYcPtYUuyJ5oH/5e/APbo9HbvT/Zxq7NWWETMl7SDpInABODpiHhM0jjgnyW9hSw5TAJeniZ7JCLurjPL0yS9O3VPJtuBPUnWRv+Nqf884NDU/TbgfSmWdcAzkt5LtrOcq6xF117giarlTAd+FxG/Sd+vAD5C1k5TI4/Fi+1dfRc4jWxnuztwS1peD1lz0YOuquh+SbxV8z8sfean71sC0yLiW3XK+fRa4wNbAddH1gAfkqrbGap0dUSsB34raSnwmqrhVwHnApeTXrqT+r8BOCp1f4csideyu6QLgPEpvjkNYtlAZK3y3ga8U9KDZEljYdHprbWcLKxZ15A1bPZXvLgj+Tuyndo+EbFGWeuqg6/E/HOtmUg6EDgEeENErJJ0R8U0ayIdWpI1x9xoOxVwRUS04vWS1W3hRFreooh4Q51paq5vHSK7XvKNGsNqlXPN8SV9tIll1lqnSr8EXiVpAtn1iAuamDdkZw0zI2KBpA+QnbU045vAP5E1jnd5k9NaC/mahTXrKrIjzqPJdmiQVQc9kRLFQcBOBeazNdkR8ypJryFrPTPPrcCHAST1SNo69Tta0g6p/7aSqpe/GJgq6VXp+3uBOwssb4qkwaRwPPA/aV4TBvsreyfybk3EW2kOcJKylyMhadLgelC7nOuN/9/ATEm9krYCjmiwTn+brk3sQvZaz8WVA1OSvh74IvBgRDyZBv0ixQPZwcFdqftPZGc2g7YCfp/ONv+uQRyDNpg+Iu4hO8s8HvhBgemtTZwsrCkRsYjsxz0QEYPVL98D+iQtJKt2KdJk8k+AjVN1w0VAvaqqSqcDB6XlzCN7b/EDZC3f/lTS/cAtwCuqYv4LcCJwTZp2PfD1AstbDHwkxbgN8B+RvQbzaODzkhaQtbJb7+6ml8RbFddPge8Dv0zjXEvacdYq53rjR8S9ZMllAXAzWRPY9TxK1orpzcCHUtlUu4qsBdjKKrV/BE5MZfzetG6QvRJ0lrKbB3YBPgXcQ/aehSLbwaXATyTdXtHvauDnEfF0gemtTdzqrFkNkqaSXfTdvcOhjBhJ3yZbp2s7HUsjkm4ke7Og35JXIj6zMLNSkDRe0m+A1U4U5eMzCzMzy+UzCzMzy+VkYWZmuZwszMwsl5OFmZnlcrIwM7Nc/x8aZDJudWXadgAAAABJRU5ErkJggg==\n", 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btbkmYnzflGdm1s3a2IGlSxZmZpbLycLMzHI5WZiZWS4nCzMzy+VkYWZmuZwszMwsl5OFmZnlcrIwM7NcThZmZpbLd3CbmXWpuQsHOW/+Uh59ajWTJ/Yy+6CdmDWzryXrcrIwM+tCcxcOcuq197J6zToABp9azanX3gvQkoThaigzsy503vylLyaKIavXrOO8+Utbsj4nCzOzLjT41Oqmho+Uk4WZWRfqqfO87XrDR8rJwsysC62r8+C6esNHyhe4zaxt2tl6Z6zrm9hbs8qpb2JvS9bnkoWZtcVQ653Bp1YTvNR6Z+7CwU6H1pVmH7QTvRN6NhjWO6GH2Qft1JL1OVmYWVu0u/XOWDdrZh9nH7EbfRN7EVmJ4uwjdvN9FmbW3R6t00qn3nDLN2tmX9uq8ZwszKwtJtepY5/cojr2blXW6zquhjKztmh3HXs3KvN1HScLM2uLdtexd6MyX9dxNZSZtU0769i7UZmv67S0ZCHpYElLJS2TdEqN8e+QdLektZKOrBq3TtI96TWvlXGajUVzFw6yzzm3MP2UH7DPObeUoirDGqt3/aYM13Valiwk9QAXAIcAOwMfkrRz1WSPAB8FLquxiNUR8eb0OqxVcZqNRWWu+7b6Zh+0ExM22rC7jgkbqRTXdVpZstgTWBYRD0bEC8DlwOGVE0TE8ohYDKxvYRxm406Z674tR3XXTq3p6qlprUwWfcCKis8r07CiNpM0IOkOSbNqTSDp+DTNwKpVq0YSq9mYUua6b6vvvPlLWbNuw76d1qyLUiT5MreG2j4i+oGjga9I2rF6goi4MCL6I6J/0qRJ7Y/QrKTKXPdt9ZU5ybcyWQwCUyo+b5eGFRIRg+nvg8BtwMzRDM5sLPM9Dd2pzEk+N1lI+pKkV0qaIOlmSaskHVNg2XcBMyRNl7QJcBRQqFWTpK0lbZrebwvsA9xXZF4z8z0N3arMSb7IfRbvjojPSHofsBw4Avgf4HuNZoqItZJOAOYDPcBFEbFE0pnAQETMk/QW4Dpga+BQSWdExC7AG4FvSFpPltDOiQgnC7Mm+J6GfGXrWmNo3WWKaYgi50EZkn4VEbtK+iZwdUT8UNKiiHhTe0Ispr+/PwYGBjodhpl1ibkLB5l99aINLihP6BHnHfmmUvw4t4ukBen6cENFrlncIOk3wB7AzZImAX8aaYBmZp10xvVLarY8OuP6JR2KqNxyk0VEnALsDfRHxBrgWarulzAz6zZPPremqeHjXZEL3H8FrImIdZJOI7tWMbnlkZmZWWkUqYb654j4o6S3AwcC3wL+s7VhmZm11sTeCU0NH++KJIuhPgP+ErgwIn4AbNK6kMzMWm/OYbvU7IdpzmG7dCiicivSdHZQ0jeAdwHnpvsfynznt5lZrjI3Uy2jIk1nXwEcDNwbEfdLei2wW0T8qB0BFuWms2blV7b7Gqx409nckkVEPCfpAeAgSQcBPylbojCz8hvqNn2oN9yhbtMBJ4wuUKQ11EnApcCr0+t7kv6+1YGZ2djibtO7W5FrFh8H9oqIZwEknQv8Avj3VgZmZmNLmXtUtXxFLlSLl1pEkd6X5HEcZtYtytyjquUrkiwuBu6UNEfSHOAOsnstzMwKK3OPqpavyAXuf5N0G/D2NOi4iFjY0qjMuoxb+eRzU9XuVrfprKRtGs0YEU+0JKJhctNZ65TqVj6QnTH7+RHWDUaj6ewCIHjp+sRQVlF6v8OIIjQbIxq18nGysLGibrKIiOntDMSsW7mVj40H7rbDbITcysfGAycLsxFyKx8bD4rclGdmDbiVj40HhZJFepbFjIi4OD1WdYuIeKi1oZl1j1kz+5wcbEzLTRaSPg/0AzuR3aA3gexpefu0NjSz7uH7LGysK1KyeB8wE7gbICIelbRlS6My6yJl7U3VCcxGU5EL3C9EdudeAEjavLUhmXWXMvamOpTABp9aTfBSApu7cLBjMVl3K5IsrkxPypso6RPAj4H/am1YZt2jjPdZlDGBWXcr0jfUv0h6F/B/ZNctTo+Im1oemVmXmDyxl8EaiaGT91mUMYFZd2tYspDUI+nWiLgpImZHxMlOFGYbKuN9Fr5R0EZbw2QREeuA9ZK2alM8Zl1n1sw+zj5iN/om9iKgb2JvxzsRLGMCs+5WpDXUM8C9km4Cnh0aGBEntiwqsxxla+lTtvssfKOgjbYiyeLa9DIrhbI2VS2bsiUw625FLnBf0o5AzIpyl+Bm7VfkDu4ZwNnAzsBmQ8Mjws+zsI5wSx+z9iv6DO7/BNYC+wPfIevuw6wj3NLHrP2KJIveiLiZ7BGsD0fEHOAvWxuWWX1u6WPWfkWSxfOSNgLul3SCpPcBW7Q4LrO6Zs3s4/179NGj7Im/PRLv38MXc81aqUiyOAl4BXAisAdwDHBskYVLOljSUknLJJ1SY/w7JN0taa2kI6vGHSvp/vQqtD4bH+YuHOSaBYOsi+yx8OsiuGbBoPs9MmuhuslC0nfT270j4pmIWBkRx0XE+yPijrwFS+oBLgAOIbs4/iFJO1dN9gjwUeCyqnm3AT4P7AXsCXxe0tYFt8nGOPd7ZNZ+jUoWe0iaDHxM0taStql8FVj2nsCyiHgwIl4ALgcOr5wgIpZHxGJgfdW8BwE3RcQTEfEkcBNwcOGtsjHNraHM2q9R09mvAzcDOwALAFWMizS8kT5gRcXnlWQlhSJqzfuyCmlJxwPHA0ydOrXgoq3blbHjPrOxrm7JIiLOj4g3AhdFxA4RMb3iVYp7LCLiwojoj4j+SZMmdTocaxO3hjJrv7oli4qqps/VqnaKiCdylj0ITKn4vF0aVsQgsF/VvLcVnNfGOPd7ZNZ+jaqhFpCejseGVVBQrBrqLmCGpOlkP/5HAUcXjGs+8MWKi9rvBk4tOK+NA+73yKy96iaLiJg+kgVHxFpJJ5D98PeQVWctkXQmMBAR8yS9BbgO2Bo4VNIZEbFLRDwh6QtkCQfgzAIlGTMzaxFFRO0R0p83mjEi7m5JRMPU398fAwMDnQ5jTCpbd+BmNnokLYiI/rzpGlVD/WuDcQG8s+morOu4O3Azg8bVUPu3MxArJ3cHbmZQoLsPSa+QdJqkC9PnGZLe2/rQrAx8A5yZQfEuyl8A9k6fB4GzWhaRlYq7AzczKJYsdoyILwFrACLiOV7elNbGqP3fUPtmx3rDzWxsKpIsXpDUS7rnQtKOwPMtjcpK49bfrGpquJmNTbmPVQXmAD8Epki6FNiHrKdYGwd8zcLMoECyiIgfSVoAvJWs+umkiPhDyyOzUnCnfWYGxVpDfQ84AnggIm5wohhf3GmfmUGxaxbfAl4L/LukByVdI+mkFsdlJTFrZh9nH7EbfRN7EdA3sZezj9jN91iYjTN1u/vYYKLsqXdvAfYHPgmsjog3tDi2pri7DzOz5o1Gdx9DC7oZ2Bz4BfAT4C0R8djIQzQzs25RpBpqMdlNebsCuwO7pqa0ZmY2ThRpDfUPAJK2JGsyezHwZ8CmLY3MzMxKo0g11AnAvsAewHLgIrLqKDMzGyeK3JS3GfBvwIKIWNvieMzMrISKVEP9SzsCMTOz8ipygdvMzMa5ItVQ1kZ+hKmZlZGTRYn4EaZmVlauhiqRRo8wNTPrJCeLEnF34GZWVk4WJeJHmJpZWTlZlMjsg3ZiQs+GT6yd0CN3B25mHedkUTbVnQDndwpsZtZyThYlct78paxZv2F2WLM+fIHbzDrOyaJEfIHbzMrKyaJEfIHbzMrKyaJE/LxrMysr38FdIkN3abu7DzMrGyeLkpk1s8/JwcxKx9VQZmaWy8nCzMxyOVmYmVkuJwszM8vV0mQh6WBJSyUtk3RKjfGbSroijb9T0rQ0fJqk1ZLuSa+vtzJOMzNrrGWtoST1ABcA7wJWAndJmhcR91VM9nHgyYh4naSjgHOBD6ZxD0TEm1sVn5mZFdfKksWewLKIeDAiXgAuBw6vmuZw4JL0/mrgAEnCzMxKpZXJog9YUfF5ZRpWc5qIWAs8DbwqjZsuaaGk2yXtW2sFko6XNCBpYNWqVaMbvZmZvaisF7h/B0yNiJnAPwKXSXpl9UQRcWFE9EdE/6RJk9oepJnZeNHKZDEITKn4vF0aVnMaSRsDWwGPR8TzEfE4QEQsAB4AXt/CWM3MrIFWJou7gBmSpkvaBDgKmFc1zTzg2PT+SOCWiAhJk9IFciTtAMwAHmxhrGZm1kDLWkNFxFpJJwDzgR7goohYIulMYCAi5gHfAr4raRnwBFlCAXgHcKakNcB64JMR8USrYjUzs8YUMTae29nf3x8DAwOdDsPMrKtIWhAR/XnTlfUCt5mZlYiThZmZ5XKyMDOzXE4WZmaWy8nCzMxyOVmYmVkuJwszM8vlZGFmZrmcLMzMLJeThZmZ5XKyMDOzXE4WZmaWy8nCzMxyOVmYmVmulj3PohvNXTjIefOX8uhTq5k8sZfZB+3ErJnVjw03Mxt/nCySuQsHmX31Itasy57vMfjUamZfvQjACcPMxj1XQyVnXL/kxUQxZM264Izrl3QoIjOz8nCySJ58bk1Tw83MxhMnCzMzy+VkkUzsndDUcDOz8cTJIplz2C5M2EgbDJuwkZhz2C4disjMrDzcGioZavHkprNmZi/nZFFh1sw+JwczsxpcDWVmZrlcssB3bpuZ5Rn3yWLuwkFOvfZeVq9ZB2R3bp967b2A79w2Mxsy7quhzpu/9MVEMWT1mnWcN39phyIyMyufcZ8sBp9a3dRwM7PxaNwnix6pqeFmZuPRuE8W6yKaGm5mNh6N+2TRN7G3qeFmZuPRuE8Wsw/aid4JPRsM653Qw+yDdupQRGZm5TPum866mw8zs3zjPlmAu/kwM8sz7quhzMwsX0tLFpIOBr4K9ADfjIhzqsZvCnwH2AN4HPhgRCxP404FPg6sA06MiPmtiPG0uffy/TtXsC6CHokP7TWFs2bt1opVmZl1rZaVLCT1ABcAhwA7Ax+StHPVZB8HnoyI1wFfBs5N8+4MHAXsAhwMfC0tb1SdNvdevnfHIy82k10XwffueITT5t472qsyM+tqrayG2hNYFhEPRsQLwOXA4VXTHA5ckt5fDRwgSWn45RHxfEQ8BCxLyxtV379zRVPDzczGq1Ymiz6g8ld3ZRpWc5qIWAs8Dbyq4LxIOl7SgKSBVatWNR2gb8gzMyumqy9wR8SFEdEfEf2TJk1qen539WFmVkwrk8UgMKXi83ZpWM1pJG0MbEV2obvIvCP2ob2mNDXczGy8amWyuAuYIWm6pE3ILljPq5pmHnBsen8kcEtERBp+lKRNJU0HZgC/HO0Az5q1G8e8deqLJYkeiWPeOtWtoczMqrSs6WxErJV0AjCfrOnsRRGxRNKZwEBEzAO+BXxX0jLgCbKEQpruSuA+YC3wqYhYV3NFI3TWrN2cHMzMcijGyMXc/v7+GBgY6HQYZmZdRdKCiOjPm66rL3CbmVl7OFmYmVkuJwszM8vlZGFmZrnGzAVuSauAh0ewiG2BP4xSOGOV91E+76NivJ/ytWsfbR8RuXc1j5lkMVKSBoq0CBjPvI/yeR8V4/2Ur2z7yNVQZmaWy8nCzMxyOVm85MJOB9AFvI/yeR8V4/2Ur1T7yNcszMwsl0sWZmaWy8nCzMxyjflkIelgSUslLZN0So3xm0q6Io2/U9K0inGnpuFLJR3Uzrjbbbj7SdK7JC2QdG/6+852x94uIzmW0vipkp6RdHK7Ym63EX7fdpf0C0lL0vG0WTtjb6cRfN8mSLok7Z9fSzq1bUFHxJh9kXWN/gCwA7AJsAjYuWqavwO+nt4fBVyR3u+cpt8UmJ6W09PpbSrhfpoJTE7vdwUGO709ZdtHFeOvBq4CTu709pRtH5E9LmEx8Kb0+VX+vtXcT0cDl6f3rwCWA9PaEfdYL1nsCSyLiAcj4gXgcuDwqmkOBy5J768GDpCkNPzyiHg+Ih4ClqXljUXD3k8RsTAiHk3DlwC9kjZtS9TtNZJjCUmzgIfI9tFYNZJ99G5gcUQsAoiIx6NFz7ApgZHspwA2T08W7QVeAP6vHUGP9WTRB6yo+LwyDas5TUSsBZ4mO6spMu9YMZL9VOn9wN0R8XyL4uykYe8jSVsAnwXOaEOcnTSS4+j1QEiaL+luSZ9pQ7ydMpKjebTYAAAHbElEQVT9dDXwLPA74BHgXyLiiVYHDC18Up6NL5J2Ac4lO0O0Dc0BvhwRz6SChr3cxsDbgbcAzwE3p4fy3NzZsEpnT2AdMBnYGviJpB9HxIOtXvFYL1kMAlMqPm+XhtWcJhXttgIeLzjvWDGS/YSk7YDrgI9ExAMtj7YzRrKP9gK+JGk58Gngn9Ijh8eakeyjlcD/RMQfIuI54L+BP295xJ0xkv10NPDDiFgTEY8BPwPa0n/UWE8WdwEzJE2XtAnZhaJ5VdPMA45N748Ebons6tE84KjUKmE6MAP4ZZvibrdh7ydJE4EfAKdExM/aFnH7DXsfRcS+ETEtIqYBXwG+GBH/0a7A22gk37f5wG6SXpF+HP8CuK9NcbfbSPbTI8A7ASRtDrwV+E1bou50y4BWv4D3AL8la33wuTTsTOCw9H4zshYqy8iSwQ4V834uzbcUOKTT21LG/QScRlaHek/F69Wd3p4y7aOqZcxhjLaGGuk+Ao4hawDwK+BLnd6WMu4nYIs0fAlZMp3drpjd3YeZmeUa69VQZmY2CpwszMwsl5OFmZnlcrIwM7NcThZmZpbLycLaStJ/p3szSkHSvqmX03sk9bZpnT9v8fLnNNOzraR+SecPc12zJO3cTEySzpR0YHr/aUmvGM66rb2cLKwtlNkoIt4TEU91Op4Kfw2cHRFvjojVo7XQdGNZTRGx92itZzRExEBEnDjM2WeR9dDczPpOj4gfp4+fJus91UrOycIKk3SOpE9VfJ4j6WRJW0i6OXUAd6+kw9P4aanP/u+Q3Wg1RdJySdum8XOVPQNjiaTjK5b7jKT/J2mRpDskvSYNf42k69LwRZL2TsOPkfTLVDr4hqSeGrEfIGlhiu+idGf+3wAfAL4g6dKq6adJ+o2kS9NzA64eOgOWtIek21Ps8yW9Ng2/TdJXJA0AJzWI95mK9cyWdJekxZLOaLSf602fhn9O0m8l/RTYqc7/79uSvi5pIE373jR8P0k3SNoo/X8mVsxzf9qOaZJuSeu9WdmzOfYGDgPOS/t+R0mfSPEtknRNrVJDiuNISSeS9XF0q6RbJX1M0lcqpvuEpC/X2hbrgE7fyehX97zInl1xe8Xn+8j6r9kYeGUati3ZXacCpgHrgbdWzLMc2Da93yb97SVLJq9KnwM4NL3/EnBaen8F8On0voesv5w3AtcDE9Lwr5H1UVUZ92ZkPXi+Pn3+TsVyvg0cWWNbp6U49kmfLwJOBiYAPwcmpeEfBC5K728DvlaxjJfFm94/k/6+G7gw7auNgBuAdzTYz/Wm3wO4l+wM/ZVp/7/sLvG0rT9M884g649pM2A/4IY0zVeB49L7vYAfp/fXA8em9x8D5tbaf0P/w/T+LODv0/s5QzFVzsOGx8MWZHc0D/0vfw7s1unj3q/s5V5nrbCIWCjp1ZImA5OAJyNihaQJwBclvYMsOfQBr0mzPRwRd9RZ5ImS3pfeTyH7AXucrI/+G9LwBcC70vt3Ah9JsawDnpb0YbIfy7uU9ejaCzxWtZ6dgIci4rfp8yXAp8j6aWpkRbzU39X3gBPJfmx3BW5K6+sh6y56yBUV718Wb9Xy351eC9PnLYAZEfGtOvv5pFrTA1sC10XWAR+SqvsZqnRlRKwH7pf0IPCGqvFXAKcDF5MeupOGvw04Ir3/LlkSr2VXSWcBE1N88xvEsoHIeuW9BXivpF+TJY17i85vreVkYc26iqxjsz/jpR+Svyb7UdsjItYo61116JGYz9ZaiKT9gAOBt0XEc5Juq5hnTaRTS7LumBsdpwIuiYhWPF6yui+cSOtbEhFvqzNPze2tQ2TXS75RY1yt/VxzekmfbmKdtbap0i+A10maRHY94qwmlg1ZqWFWRCyS9FGyUkszvgn8E1nneBc3Oa+1kK9ZWLOuIDvjPJLsBw2y6qDHUqLYH9i+wHK2Ijtjfk7SG8h6z8xzM/C3AJJ6JG2Vhh0p6dVp+DaSqte/FJgm6XXp84eB2wusb6qkoaRwNPDTtKxJQ8OVPRN5lybirTQf+JiyhyMhqW9oO6i9n+tN/z/ALEm9krYEDm2wTX+Vrk3sSPZYz6WVI1OSvg74N+DXEfF4GvXzFA9kJwc/Se//SFayGbIl8LtU2vzrBnEM2WD+iLiTrJR5NPD9AvNbmzhZWFMiYgnZl3swIoaqXy4F+iXdS1btUqTL5B8CG6fqhnOAelVVlU4C9k/rWUD23OL7yHq+/ZGkxcBNwGurYv4TcBxwVZp3PfD1AutbCnwqxbg18J+RPQbzSOBcSYvIetmt17rpZfFWxfUj4DLgF2maq0k/nLX2c73pI+JusuSyCLiRrAvseh4h68X0RuCTad9Uu4KsB9jKKrW/B45L+/jDadsgeyTobGWNB3YE/hm4k+w5C0WOgwuBH0q6tWLYlcDPIuLJAvNbm7jXWbMaJE0ju+i7a4dDGTWSvk22TVd3OpZGJN1A9mRBPyWvRFyyMLNSkDRR0m+B1U4U5eOShZmZ5XLJwszMcjlZmJlZLicLMzPL5WRhZma5nCzMzCzX/wcTl21+qyrrPgAAAABJRU5ErkJggg==\n", 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\n", 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\n", 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\n", 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "for n_voters in df['number-of-voters'].unique():\n", + " df_qv = df[(df['number-of-voters'] == n_voters) & (df['voting-mechanism'] == \"QV\")].sort_values('variance-of-perceived-pivotality')\n", + " df_1p1v = df[(df['number-of-voters'] == n_voters) & (df['voting-mechanism'] == \"1p1v\")]\n", + " plt.plot(df_qv['variance-of-perceived-pivotality'], df_qv['wellfare-loss'], 'o')\n", + " plt.plot(df_1p1v['variance-of-perceived-pivotality'], df_1p1v['wellfare-loss'], 'o')\n", + " plt.xlabel('variance of percieved pivotality')\n", + " plt.ylabel('wellfare loss')\n", + " plt.title('wellfare loss vs perceived pivotality, n_voters={}; $\\mu$=0'.format(n_voters))\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true + }, + "source": [ + "# Wellfare Loss Prop 8 Calibration\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hidden": true + }, + "source": [ + "## The Data" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 97, + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [ + "df8 = pd.read_csv('2020.02.07 - QVoting-NormalizedPivotality 1p1v-vs-QV-prop8-mean>0.csv')\n", + "df8.rename(columns={'variance-of-perceived-pivotality': 'variance-of-pmp'}, inplace=True)\n", + "df8['wellfare-loss'] = 1 - df8['mean payoff-sign-list']\n", + "df8_1p1v = df8[(df8['voting-mechanism'] == \"1p1v\")]\n", + "df8_QV = df8[(df8['voting-mechanism'] == \"QV\")]" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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[run number]number-of-voterscalibrationmarginal-pivotalityvariance-of-ppvoting-mechanism[step]mean payoff-sign-listmean payoff-liststandard-deviation payoff-listmean vote-sum-liststandard-deviation vote-sum-listmean mean-median-same-sign-listwellfare-loss
01111. prop8-mean>00.50.00001p1v10000.7871.5137583.798378-0.3460003.3721890.7870.213
12111. prop8-mean>00.50.0000QV10001.0002.5866383.3591600.6020442.0328600.7800.000
23111. prop8-mean>00.50.00031p1v10000.7591.5398624.396764-0.6080003.2497530.7590.241
34111. prop8-mean>00.50.0003QV10000.9852.5856313.2560520.6533451.9821230.7700.015
45111. prop8-mean>00.50.00101p1v10000.8051.4770223.996354-0.3420003.3475730.8050.195
\n", + "
" + ], + "text/plain": [ + " [run number] number-of-voters calibration marginal-pivotality \\\n", + "0 1 11 1. prop8-mean>0 0.5 \n", + "1 2 11 1. prop8-mean>0 0.5 \n", + "2 3 11 1. prop8-mean>0 0.5 \n", + "3 4 11 1. prop8-mean>0 0.5 \n", + "4 5 11 1. prop8-mean>0 0.5 \n", + "\n", + " variance-of-pp voting-mechanism [step] mean payoff-sign-list \\\n", + "0 0.0000 1p1v 1000 0.787 \n", + "1 0.0000 QV 1000 1.000 \n", + "2 0.0003 1p1v 1000 0.759 \n", + "3 0.0003 QV 1000 0.985 \n", + "4 0.0010 1p1v 1000 0.805 \n", + "\n", + " mean payoff-list standard-deviation payoff-list mean vote-sum-list \\\n", + "0 1.513758 3.798378 -0.346000 \n", + "1 2.586638 3.359160 0.602044 \n", + "2 1.539862 4.396764 -0.608000 \n", + "3 2.585631 3.256052 0.653345 \n", + "4 1.477022 3.996354 -0.342000 \n", + "\n", + " standard-deviation vote-sum-list mean mean-median-same-sign-list \\\n", + "0 3.372189 0.787 \n", + "1 2.032860 0.780 \n", + "2 3.249753 0.759 \n", + "3 1.982123 0.770 \n", + "4 3.347573 0.805 \n", + "\n", + " wellfare-loss \n", + "0 0.213 \n", + "1 0.000 \n", + "2 0.241 \n", + "3 0.015 \n", + "4 0.195 " + ] + }, + "execution_count": 69, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df8[0:5]" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hidden": true + }, + "source": [ + "## Wellfare Loss of 1p1v and QV vs number of voters on one graph (for paper)" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [ + "adf_1p1v = df8_1p1v.groupby(['number-of-voters']).aggregate('mean').reset_index()\n", + "adf_1p1v['voting-mechanism'] = \"1p1v\"\n", + "adf_1p1v['PMP-color'] = 'NA'\n", + "\n", + "pdf_qv = df8_QV[df8_QV['variance-of-pmp'].isin([0.0003, 0.02, 0.083])].copy()\n", + "pdf_qv['PMP-color'] = pdf_qv['variance-of-pmp'].apply(lambda x: \"=\" + str(x))\n", + "\n", + "\n", + "\n", + "# QV RDRM voters\n", + "df10 = pd.read_csv('2020.07.10 QV-right-direction-random-magnitude-prop8.csv')\n", + "df10['wellfare-loss'] = 1 - df10['mean payoff-sign-list']\n", + "df10['PMP-color'] = 'QV-RDRM'\n", + "df10 = df10[pdf_qv.columns]\n", + "\n", + "#\n", + "\n", + "cdf = pdf_qv.append(df10, sort=False)\n", + "cdf = cdf.append(adf_1p1v, sort=False).reset_index()" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "f, ax1 = plt.subplots(figsize=(4, 3))\n", + "sns.scatterplot(x=\"number-of-voters\",\n", + " y=\"wellfare-loss\",\n", + " style='voting-mechanism',\n", + " data=cdf,\n", + " hue='PMP-color',\n", + " ax=ax1)\n", + "\n", + "ax1.set(xscale=\"log\",ylim=(0,1))\n", + "ax1.set_xlabel(\"Number of Voters (log scale)\", fontsize=12)\n", + "ax1.set_ylabel('Prop8 WL', fontsize=12)\n", + "ax1.tick_params(labelsize=10)\n", + "\n", + "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n", + "plt.savefig(\"figures/sQV_WL_vs_n_voters_prop8.png\", bbox_inches='tight', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "## Wellfare Loss of 1p1v vs number of voters" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 114, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Get mean across all data for same number of voters, since marginal pivotality doesn't matter for 1p1v\n", + "adf = df8_1p1v.groupby(['number-of-voters']).aggregate('mean').reset_index()\n", + "\n", + "# Plots\n", + "f, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 5))\n", + "sns.scatterplot(x=\"number-of-voters\", \n", + " y=\"wellfare-loss\",\n", + " data = adf,\n", + " ax=ax1)\n", + "\n", + "sns.scatterplot(x=\"number-of-voters\", \n", + " y=\"wellfare-loss\",\n", + " data = adf,\n", + " ax=ax2)\n", + "ax2.set(xscale=\"log\", xlabel = \"number-of-voters (log scale)\")\n", + "ax1.set(ylim=(0,1.01))\n", + "ax2.set(ylim=(0,1.01))\n", + "f.suptitle('1p1v wellfare loss vs n_voters - Prop 8 calibration $\\mu>0$')\n", + "plt.savefig('foo.png')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "## Wellfare loss of QV vs number of voters" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hidden": true + }, + "source": [ + "### Single Graph with Three variance-of-pp values " + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "pdf = df8_QV[df8_QV['variance-of-pp'].isin([0, 0.0003, 0.04, 0.083])]\n", + "f, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 5))\n", + "sns.scatterplot(x=\"number-of-voters\", y=\"wellfare-loss\",\n", + " hue='variance-of-pp',\n", + " palette=\"ch:r=-.2,d=.3_r\",\n", + " data=pdf, ax=ax1)\n", + "\n", + "sns.scatterplot(x=\"number-of-voters\", y=\"wellfare-loss\",\n", + " hue='variance-of-pp',\n", + " palette=\"ch:r=-.2,d=.3_r\",\n", + " data=pdf, ax=ax2)\n", + "ax2.set(xscale=\"log\", xlabel = \"number-of-voters (log scale)\")\n", + "\n", + "plt.setp(ax1.get_legend().get_texts(), fontsize='10') # for legend text\n", + "plt.setp(ax1.get_legend().get_title(), fontsize='10') # for legend title\n", + "plt.setp(ax2.get_legend().get_texts(), fontsize='10') # for legend text\n", + "plt.setp(ax2.get_legend().get_title(), fontsize='10') # for legend title\n", + "\n", + "f.suptitle(\"QV wellfare loss vs n voters\", y=1)\n", + "\n", + "f.tight_layout()\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hidden": true + }, + "source": [ + "### Separate Graphs for Each Variance-of-pp value" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": { + "hidden": true, + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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JmpmZmVmOOVkzMzMzy7Gm+1FcgIGBYOWaPv9at5lZDjlGm62v6ZK1gYHg/sdXc8LCbnp61w7dB2/erKkOBmZmdeYYbbahpusGXbmmbygIAPT0ruWEhd2sXNNX55KZmZljtNmGmi5Z6+tfNxQEBvX0rqWvf12dSmRmZoMco8021HTJWntbK7Ond6y3bvb0DtrbWutUIjMzG+QYbbahpkvWZnS2c+ExXUPBYHA8xIzO9jqXzMzMHKPNNtR0EwxaWsS8WVO57uS9PNPIzCxnHKPNNtR0yRpkwWDm1Cn1LoaZmZXgGG22vqbrBjUzMzNrJE7WzMzMzHLMyZqZmZlZjjXlmDXfysTMrDYcb80mrumSNd/KxMysNhxvzSqj6bpBfSsTM7PacLw1q4ymS9Z8KxMzs9pwvDWrjKoma5IOknS/pGWSziixfYqkq9L22yTNTes3knSppHsk3Sfp45Uqk29lYmblyGP8ajSOt2aVUbVkTVIrcB5wMDAfOFrS/KLdjgd6I2IH4FzgnLT+7cCUiHglsDvwvsFAOFG+lYmZjSav8avRON6aVUY1JxjsASyLiAcAJF0JLADuLdhnAXBmen4N8A1JAgLolNQGdAB9wDOVKtiszaZw1Yl7si5g441a2LJzige7mlmhXMavRptZ6VtHmVVGNZO1bYBHCpZ7gNcMt09E9EtaBcwgC3wLgEeBTYDTIuKp4heQdCJwIsCcOXNGLdBwM5O27PRtTcxsPVWPXzC2GNaoMyt96yizicvrBIM9gHXA1sB2wEckbV+8U0RcEBFdEdE1c+bMUU/qmUlmVgNlxS8YWwxz/DJrXtVM1pYD2xYsz07rSu6TugymASuBdwA/i4gXIuIJ4Faga6IF8swkMyuT45eZ5UY1k7XbgR0lbSepHTgKWFS0zyLg2PT8cODmiAjgr8AbASR1AnsCf5xogTwzyczK5PhlZrlRtWQtIvqBU4AbgfuAqyNiqaSzJB2SdrsImCFpGfBhYHB6/HnAppKWkgXNiyNiyUTL5JlJZlYOxy8zyxNlfwg2vq6uruju7h51v0abTWVmw5O0OCIm3MWYB+XEMMcvs8ljLPGr6e4N6plJZtaoHL/MmlNeZ4OamZmZGU7WzMzMzHLNyZqZmZlZjjlZMzMzM8sxJ2tmZmZmOeZkzczMzCzHnKyZmZmZ5ZiTNTMzM7Mcc7JmZmZmlmNO1szMzMxyzMmamZmZWY45WTMzMzPLsaa7kTvAwECwck0fff3raG9rZUZnOy0tqnexzMxsDBzLrVk0XbI2MBDc//hqTljYTU/vWmZP7+DCY7qYN2uqP+RmZg3CsdyaSdN1g65c0zf04Qbo6V3LCQu7Wbmmr84lMzOzcjmWWzNpupa1vv51Qx/uQT29a+nrX1enEpmZ2WiKuzwdy62ZNF2ytlFbC7Ond6z3IZ89vYON2pqukdHMrCGU6vK8/F9eUzKWt7e11rGkZtXRdMlaW4v40uG7cPGtD3LY7tsyo7OdLTrbaW/1GAczs1oqd4JAqS7Pz15/L99+9+6877LF641Zm9HZPqZzmzWCpkvW1vat47o7lvOBfXfkA5ffMfQh//a7dmezjf1hNjOrhbFMECjV5fnze5/g7AU7c93Je22QkHnygU02Tdf3J4mDX7nVUKIG2V9p7/veYg9MNTOrkbFMEGhva2X29I711s2e3kFLSwszp05hm+mbMHPqlKFEzJMPbLJpumStVTBnxiYemGpmVkdjmSAwo7OdC4/pGkrYirs8J3Jus0bQdN2gLS0trFj9nAemmpnV0WBrWTlxuKVFzJs1tWSX50TPbdYImq5lbUZnOy+ZOoUvHb5L2X+lmZlZZY21taylRSW7PCtxbrO8U0SMvpP0cqAnIp6XtA+wC7AwIp6ucvnK1tXVFd3d3WXtOzAQPL22j7V961gXsPFGLWzZOfKH38zyR9LiiOgaZZ/cxy8YWwybLKo5Y9OzQS3vyolfg8rtBr0W6JK0A3AB8CPgcuDN4ytifbW0iC06p0BnvUtiZjUwqeLXZDLYWtZo5zartXK7QQcioh/4Z+DrEfFvwFbVK5aZWcU4fplZQys3WXtB0tHAscBP0rqNqlMkM7OKcvwys4ZWbrL2HuC1wOci4kFJ2wGXVa9YZmYV4/hlZg2trGQtIu6NiFMj4gpJ04GpEXHOaMdJOkjS/ZKWSTqjxPYpkq5K22+TNLdg2y6SfitpqaR7JG08husyMwMcv8ys8ZWVrEm6RdJmkrYA7gAulPSVUY5pBc4DDgbmA0dLml+02/FAb0TsAJwLnJOObQO+B5wUETsB+wAvlH1VZmaJ45eZNbpyu0GnRcQzwKFkU95fA+w/yjF7AMsi4oGI6AOuBBYU7bMAuDQ9vwbYT5KAA4ElEXE3QESsjAj/9LSZjYfjl5k1tHKTtTZJWwFH8OIA3dFsAzxSsNyT1pXcJ83WWgXMAF4BhKQbJd0h6WNlvqaZWTHHLzNraOX+ztpZwI3ArRFxu6TtgT9Xr1i0AXsDrwaeA36RfjzuF4U7SToROBFgzpw5VSyOmTWwXMYvcAwzs/KUO8HgvyJil4h4f1p+ICIOG+Ww5cC2Bcuz07qS+6RxHtOAlWR/xf46Ip6MiOeAG4BXlSjXBRHRFRFdM2fOLOdSzKzJ5DV+pbI4hpnZqMqdYDBb0nWSnkiPayXNHuWw24EdJW0nqR04ClhUtM8ist8+AjgcuDmy+1/dCLxS0iYpCL4BuLfcizIzG+T4ZWaNrtwxaxeTBaat0+PHad2w0hiOU8gC133A1RGxVNJZkg5Ju10EzJC0DPgwcEY6thf4ClnAvAu4IyKuH8uFmZkljl9m1tDKvZH7XRGx62jr6qkZb4Js1uzKvJF77uMXOIaZNZux3Mi93Ja1lZLeJak1Pd5FNjbDzCzvHL/MrKGVm6y9l2za+2PAo2TjM95TrUKZmVWQ45eZNbSyfrojIh4GDhl1RzOznHH8MrNGN2KyJunrwLCD2iLi1IqXyMysAhy/zGyyGK1lzaNdzaxROX6Z2aQwYrIWEZcWr5P00oh4rHpFMjObOMcvM5ssyp1gUOiGipfCzKw2HL/MrOGMJ1lTxUthZlYbjl9m1nDGk6xdWPFSmJnVhuOXmTWcsn66A0DS3sCOEfFNSTOBTSPiweoVzcysMhy/zKyRlXsj988ApwMfT6s2Ar5XrUKZmVWK45eZNbpyu0H/mexHJdcARMT/AVOrVSgzswpy/DKzhlZustYX2R3fA0BSZ/WKZGZWUY5fZtbQyk3Wrpb0bWBzSScA/40H6ppZY3D8MrOGVu69Qb8s6QDgGWAe8OmIuKmqJTMzqwDHLzNrdKMma5Jagf+OiH0BBzgzaxiOX2Y2GYzaDRoR64ABSdNqUB4zs4px/DKzyaDc31l7FrhH0k2kGVUAEXFqVUplZlY5jl9m1tDKTdZ+kB5mZo3G8cvMGlq5EwwurXZBzMyqwfHLzBpdWcmapB2BzwPzgY0H10fE9lUql5lZRTh+mVmjK/d31i4GvgX0A/sCC/HtWsysMTh+mVlDKzdZ64iIXwCKiIcj4kzgLdUrlplZxTh+mVlDK3eCwfOSWoA/SzoFWA5sWr1i1c7AQLByTR99/etob2tlRmc7LS2qd7HMrHImbfyy+vF3h9VSucnah4BNgFOBs8m6Eo6tVqFqZWAguP/x1ZywsJue3rXMnt7Bhcd0MW/WVH/ozCaPSRm/rH783WG1NmI3qKTL0tPXRcSzEdETEe+JiMMi4nc1KF9VrVzTN/RhA+jpXcsJC7tZuaavziUzs4ma7PHL6sffHVZro41Z213S1sB7JU2XtEXhoxYFrKa+/nVDH7ZBPb1r6etfV6cSmVkFTer4ZfXj7w6rtdG6Qc8HfgFsDywGCtt3I61vWO1trcye3rHeh2729A7a21rrWCozq5BJHb+sfvzdYbU2YstaRHwtIv4e+G5EbB8R2xU8Gj7Qzehs58Jjupg9vQNgaNzBjM72OpfMzCZqsscvqx9/d1itKSKG3zhKV0FEPFXxEo1TV1dXdHd3j/k4z+gxa1ySFkdE1zDbGiZ+wfhjmNWHvztsokaKX8VG6wZdTNZdAOt3IUAZ3QiSDgK+CrQC34mILxRtn0L2A5W7AyuBIyPioYLtc4B7gTMj4sujlHVcWlrEzKlTqnFqM6uvSR+/rH783WG1NGKyFhHbjffEklqB84ADgB7gdkmLIuLegt2OB3ojYgdJRwHnAEcWbP8K8NPxlsHMmpfjl5lNFiMma5JeNdL2iLhjhM17AMsi4oF0riuBBWR/aQ5aAJyZnl8DfEOSIiIk/RPwILBmxCswMyvB8cvMJovRukH/vxG2BfDGEbZvAzxSsNwDvGa4fSKiX9IqYIakvwGnk/1V+9FRymhmVorjl5lNCqN1g+5bq4IUORM4NyKelYYfsCnpROBEgDlz5tSmZGbWEPIev8AxzMzKU9aN3CVtIulTki5IyztKeusohy0Hti1Ynp3WldxHUhswjWyg7muAL0p6CPhX4BPpnn7riYgLIqIrIrpmzpxZzqWYWZPJa/wCxzAzK09ZyRpwMdAHvC4tLwc+O8oxtwM7StpOUjtwFLCoaJ9FvHiPvsOBmyPz+oiYGxFzgf8E/iMivlFmWc3MCjl+mVlDKzdZe3lEfBF4ASAinmPDqfDriYh+4BTgRuA+4OqIWCrpLEmHpN0uIhvjsQz4MHDGOK7BzGwkjl9m1tBGm2AwqE9SB+k3iyS9HHh+tIMi4gbghqJ1ny54/jfg7aOc48wyy2hmVorjl5k1tHKTtc8APwO2lfR9YC/guGoVysysghy/zKyhlZusHQtcT/ZbQg8AH4qIJ6tWKjOzynH8MrOGVm6ydhHwerLfDXo5cKekX0fEV6tWMjOzynD8MrOGVlayFhG/lPRr4NXAvsBJwE5k980zM8stxy8za3RlJWuSfgF0Ar8FfgO8OiKeqGbBzMwqwfHLzBpduT/dsYTsd4p2BnYBdk6zq8zM8s7xy8waWrndoKcBSJpKNovqYuClwJSqlczMrAIcv8ys0ZXbDXoK2QDd3YGHgO+SdSeYmeWa45eZNbpyZ4NuDHwFWJx+2dvMrFE4fplZQyu3G/TL1S6ImVk1OH6ZWaMrd4KBmZmZmdWBkzUzMzOzHHOyZmZmZpZjTtbMzMzMcszJmpmZmVmOOVkzMzMzyzEna2ZmZmY55mTNzMzMLMecrJmZmZnlmJM1MzMzsxxzsmZmZmaWY07WzMzMzHLMyZqZmZlZjjlZMzMzM8sxJ2tmZmZmOeZkzczMzCzHnKyZmZmZ5ZiTNTMzM7Mca6t3AfJkYCBYuaaPvv51tLe1MqOznZYW1btYZmY2Cfg7xsbLyVoyMBDc//hqTljYTU/vWmZP7+DCY7qYN2uqP0xmZjYh/o6xiahqN6ikgyTdL2mZpDNKbJ8i6aq0/TZJc9P6AyQtlnRP+veN1SwnwMo1fUMfIoCe3rWcsLCblWv6qv3SZpZDjRS/LP/8HWMTUbVkTVIrcB5wMDAfOFrS/KLdjgd6I2IH4FzgnLT+SeBtEfFK4FjgsmqVc1Bf/7qhD9Ggnt619PWvq/ZLm1nONFr8svzzd4xNRDVb1vYAlkXEAxHRB1wJLCjaZwFwaXp+DbCfJEXEnRHxf2n9UqBD0pQqlpX2tlZmT+9Yb93s6R20t7VW82XNLJ8aKn5Z/vk7xiaimsnaNsAjBcs9aV3JfSKiH1gFzCja5zDgjoh4vvgFJJ0oqVtS94oVKyZU2Bmd7Vx4TNfQh2lwPMGMzvYJndfMGlLV4xdUNoZZvvk7xiYi1xMMJO1E1rVwYKntEXEBcAFAV1dXTOS1WlrEvFlTue7kvTxTx8wmbLT4BZWNYZZv/o6xiahmsrYc2LZgeXZaV2qfHkltwDRgJYCk2cB1wDER8ZcqlnNIS4uYOdW9FWbWePHL8s/fMTZe1ewGvR3YUdJ2ktqBo4BFRfssIhuAC3A4cHNEhKTNgeuBMyLi1iqW0cysFMcvM8uNqiVraQzHKcCNwH3A1RGxVNJZkg5Ju10EzJC0DPgwMDg9/hRgB+DTku5Kj5dUq6xmZoUcv8wsTxQxOYZJdHV1RXd3d72LYWY1JGlxRHTVuxyV4Bhm1lzGEr98b1AzMzOzHHOWCNoAAAATVklEQVSyZmZmZpZjTtbMzMzMcszJmpmZmVmOOVkzMzMzy7Fc38GgXgYGgpVr+vwr02ZmVnP+DrJiTtaKDAwE9z++mhMWdtPTu3bo/m3zZk31h8XMzKrK30FWirtBi6xc0zf0IQHo6V3LCQu7Wbmmr84lMzOzyc7fQVaKk7Uiff3rhj4kg3p619LXv65OJTIzs2bh7yArxclakfa2VmZP71hv3ezpHbS3tdapRGZm1iz8HWSlOFkrMqOznQuP6Rr6sAyOF5jR2V7nkpmZ2WTn7yArxRMMirS0iHmzpnLdyXt5Jo6ZmdWUv4OsFCdrJbS0iJlTp9S7GGZm1oT8HWTF3A1qZmZmlmNO1szMzMxyzMmamZmZWY45WTMzMzPLMU8wGMHg/dkGBgZYFxARQzNzAN+7zczMamqk+4aWc09R33e0MTlZG8bg/dnOvel+jn3ddpx+7ZKh+7QtfO8ePN8/4Hu3mZlZzYx031Bg1HuK+r6jjcvdoMMYvD/bYbtvO5SoAczcdAoDge/dZmZmNTXSfUOH2/b02j5WrH6e5b3P8dgzf/N3V4Nyy9owBu/PtnnHRkP/sXfbdnM++qZ5PP1cn+/dZmZmNTXafUOLt83cdAqPPv033ve9xfT0ruWak17r764G5Za1YQzen+3ptS8M3fbjpH1ezunXLmHlmj7fu83MzGpqpPuGltp26n47DiVqgL+7GpiTtWEM3p/t2sWPcM5huzB7esdQK9v5t/xlaB343m1mZlZ9I903tNS27bbsXK8lzd9djUsRUe8yVERXV1d0d3dX9JylZoMeecHv6Oldy27bbs5J+7ycGZ3tbL15By/dbGMP0DSrMUmLI6Kr3uWohGrEMJt8xjIbNAgO/eb/rpewHTj/JZx5yM7r/bqBv7vqYyzxyy1rIxi8P9usaR1svXkHW03rGPrL5c5Hnubsn9xL55S2oURtYCCGBnKuWP08AwOTIxE2M7N8GPxe2mb6JsycOmW9RKt425adUzZobTvtgHm8dLONSx4P+HsspzzBYAxaWsS8WVO57uS9NvirxlOizcwsT0b6zirF32P55Za1MRrur5qRplSbmZnVw0gtccX8PZZfTtYqZLQp1WZmZnnm77H8crJWISNNqTYzM8s7f4/ll5O1ChlpSrWZmVne+Xssv6o6wUDSQcBXgVbgOxHxhaLtU4CFwO7ASuDIiHgobfs4cDywDjg1Im6sZlnHq3Cq9KzNpvCDk1/HC/0DnhJdA74h8eSRx/eyGeKXWfFnb8eZm5Y9IaGRVDvGVPv8VUvWJLUC5wEHAD3A7ZIWRcS9BbsdD/RGxA6SjgLOAY6UNB84CtgJ2Br4b0mviIhcdZx75kz9uO4njzy+l80Qv8zy+NmrhmpfZy3qsZrdoHsAyyLigYjoA64EFhTtswC4ND2/BthPktL6KyPi+Yh4EFiWzpcrnjlTP677ySOn7+Wkj19mOf3sVVy1r7MW9VjNZG0b4JGC5Z60ruQ+EdEPrAJmlHkskk6U1C2pe8WKFRUsenk8c6Z+XPeTR07fy6rHL6h/DLPmltPPXsVV+zprUY8NPcEgIi6IiK6I6Jo5c2bNX98zZ+rHdT95NPN7We8YZs2tWT571b7OWtRjNZO15cC2Bcuz07qS+0hqA6aRDdQt59i688yZ+nHdTx45fS8nffwyy+lnr+KqfZ21qMeq3cg9Ba8/AfuRBarbgXdExNKCfT4AvDIiTkoDdA+NiCMk7QRcTjbOY2vgF8COIw3QrddNkPM4i61ZuO4nj/G+l9W6kXut4xf4Ru5WH80SR/M4G3Qs8atqs0Ejol/SKcCNZFPfvxsRSyWdBXRHxCLgIuAyScuAp8hmUJH2uxq4F+gHPpDXmVSDt/Kw2nPdTx55ey+bJX6Z5e2zVy3Vvs5qn79qLWu15r9KzZpPtVrW6sExzKy5jCV+NfQEAzMzM7PJzsmamZmZWY45WTMzMzPLMSdrZmZmZjnmZM3MzMwsx5ysmZmZmeWYkzUzMzOzHJs0v7MmaQXw8BgO2RJ4skrFqSaXu7Zc7toaa7lfFhGT4qaaklYBfy5YNY3s5vCDqvmeFr9WpY8bab+xbiteN9qy6630OtdbeduqWW/lx6+IaMoH2a+Q170cLne+Hy63y13Da79glOWq1U3xa1X6uJH2G+u2MurJ9eZ6m3T15m5QM7N8+PEoy7V87UofN9J+Y902Wj253lxvk67eJk036FhJ6o4GvE2Ny11bLndtNWq5a8F1Mz6ut/FxvY1PteqtmVvWLqh3AcbJ5a4tl7u2GrXcteC6GR/X2/i43sanKvXWtC1rZmZmZo2gmVvWzMzMzHKv6ZI1SQdJul/SMkln5KA820r6paR7JS2V9KG0fgtJN0n6c/p3elovSV9L5V8i6VUF5zo27f9nScfWqPytku6U9JO0vJ2k21L5rpLUntZPScvL0va5Bef4eFp/v6Q31aDMm0u6RtIfJd0n6bWNUN+STkv/R/4g6QpJG+e1viV9V9ITkv5QsK5idSxpd0n3pGO+JknVuA4zs1yo1tTcPD6AVuAvwPZAO3A3ML/OZdoKeFV6PhX4EzAf+CJwRlp/BnBOev5m4KeAgD2B29L6LYAH0r/T0/PpNSj/h4HLgZ+k5auBo9Lz84H3p+cnA+en50cBV6Xn89P7MAXYLr0/rVUu86XAv6Tn7cDmea9vYBvgQaCjoJ6Py2t9A/8IvAr4Q8G6itUx8Pu0r9KxB1f7/7offvjhR70ezdaytgewLCIeiIg+4EpgQT0LFBGPRsQd6flq4D6yL+YFZEkF6d9/Ss8XAAsj8ztgc0lbAW8CboqIpyKiF7gJOKiaZZc0G3gL8J20LOCNwDXDlHvweq4B9kv7LwCujIjnI+JBYBnZ+1StMk8jSyQuAoiIvoh4mgaob6AN6JDUBmwCPEpO6zsifg08VbS6InWctm0WEb+LiAAWFpyraUjaXtJFkq4ZfW8bJOmfJF2YWp4PrHd5GoGkv5d0fuqReH+9y9NIJHVK6pb01omcp9mStW2ARwqWe9K6XEhdVbsBtwGzIuLRtOkxYFZ6Ptw11OPa/hP4GDCQlmcAT0dEf4kyDJUvbV+V9q91ubcDVgAXp+7b70jqJOf1HRHLgS8DfyVL0lYBi8l/fReqVB1vk54Xr294pbqP0/oNhm+kPzqPr09J82WM9fbDiDgBOAk4sh7lzYMx1tl9EXEScASwVz3KmxdjqbfkdLIekAlptmQttyRtClwL/GtEPFO4LbUe5Grabvor4YmIWFzvsoxRG1n33LciYjdgDVmX3JCc1vd0shao7YCtgU6q35JXNXms45y4hKL3VVIrcB5wMFk39tGS5te+aLl2CWOvt0+l7c3qEsZQZ5IOAa4HbqhtMXPnEsqsN0kHAPcCT0z0RZstWVsObFuwPDutqytJG5Elat+PiB+k1Y+n7h7Sv4Nv9nDXUOtr2ws4RNJDZN3JbwS+StaF1VaiDEPlS9unASvrUO4eoCcibkvL15Alb3mv7/2BByNiRUS8APyA7D3Ie30XqlQdL0/Pi9c3vGG6j3M3fCNvxlJvaULLOcBPB4egNKOx/l+LiEURcTDwztqWNF/GWG/7kI2tfQdwgqRx51zNlqzdDuyobAZdO9nA60X1LFAaR3QRcF9EfKVg0yJgcPbbscCPCtYfkwLOnsCq1LV0I3CgpOmpFebAtK4qIuLjETE7IuaS1ePNEfFO4JfA4cOUe/B6Dk/7R1p/lLLZi9sBO5INHq9WuR8DHpE0L63aj+wvn1zXN1n3556SNkn/ZwbLnev6LlKROk7bnpG0Z6qLYwrONRmV7A6WNEPS+cBukj5en6Ll2nDd6B8k++PncEkn1aNgOTbc/7V9lM26/jZuWSulZL1FxCcj4l/JJuFdGBEDJY8uQ9vou0weEdEv6RSyL4FW4LsRsbTOxdoLeDdwj6S70rpPAF8ArpZ0PPAw2VgByD4obyYbGP4c8B6AiHhK0tlkCSnAWRFRnP3XwunAlZI+C9xJGsif/r1M0jKyv0qOAoiIpZKuJks8+oEPRMS6Kpfxg8D3U8L+AFkdtpDj+o6I25QNJL+DrJ7uJPul7OvJYX1LuoLsr8otJfUAn6Gy/6dPJuuO6CCbDfrTSl9D3kXESrJxVzYGEfE14Gv1LkcjiYhbgFvqXIyGFRGXTPQcvoOBmVmOpIlGP4mIndPya4EzI+JNafnjABHx+XqVMY9cb2PnOhufetRbs3WDmpk1mtwN32gQrrexc52NT9XrzcmamVlOpO7j3wLzJPVIOj799Mrg8I37gKtzMHwjV1xvY+c6G5961Zu7Qc3MzMxyzC1rZmZmZjnmZM3MzMwsx5ysWc1JukVSVw1eZ6ak25TdVur1EzzXPpJeV6mymZmZlcvJmjWUgl/rL8d+wD0RsVtE/GaCL70PMKZkbYxlNTMzK8nJmg1L0lxJ90m6UNJSST+X1FHYMiZpS2W3nELScZJ+KOkmSQ9JOkXSh1PL1u8kbVFw+ndLukvSHyTtkY7vVHaT3N+nYxYUnHeRpJuBXwxTzpslLZH0C0lzJO0KfJHs9jJ3SeooOuZ3knYqWL5FUpekLdI1LEn77JJ+U+ck4LR0rtenVrtrJd2eHnul85wp6TJJt5L9KO1O6XruSufcsVLvj5mZNQcnazaaHYHzImIn4GngsFH23xk4FHg18DnguXTD9N+S3RZo0CYRsSvZL9F/N637JNltkfYA9gW+JKkzbXsVcHhEvKHEa34duDQidgG+D3wtIu4CPg1cFRG7RsTaomOuIv2CvrL7VG4VEd3AvwN3pnN9AlgYEQ8B5wPnpnP9huw+qOdGxKtTnXyn4Nzzgf0j4miyJO+r6Vq7yG5DYmZmVjYnazaaB1PiA7AYmDvK/r+MiNURsQJYBfw4rb+n6NgrYOimuJtJ2pzs3o9nKLvt1i3AxsCctP9NI9zO6bVk914DuAzYe/TL4mpevKfmEWQ3dCcde1kq283ADEmblTh+f+AbqayL0jVsmrYtKkgOfwt8QtLpwMtKJI1mNgEeA7vBuZV6GjZLy89W43XGo5z3StKV7oHYkJM1G83zBc/Xkd1Ptp8X/+9sPML+AwXLA6x/L9riH/gLQMBhqfVq14iYExH3pe1rBneU9LnUrXgXZZL0z4PHSOqKiOXASkm7AEeStbSNRQuwZ0FZt4mIwaA4VNaIuBw4BFgL3CDpjWN8HTOrkkk6BvbNwN0R8cxYC5UT3wI+Vu9C5I2TNRuPh4Dd0/PDR9hvJEcCSNobWBURq8h+/fmDkpS27VbqwIj45GCSlFb9L+lG5cA7gQ0CaURcV5BYdafVV5EFhWkRsSSt+006B5L2AZ5MQW81MLXglD8nuyE8ad9dKUHS9sAD6ebRPwJ2GaY+zCat4ca/pm0eA1vZMbDvJIs1xdclSV9KdXSPpMEY3CLpm5L+mOr6BkkbxHVJp0q6N73ulWndppIuTudbIumwtP5bkrrTe/3vJcqIpAMl/VbSHZL+Sy/2TPwG2H+MifSk52TNxuPLwPsl3QlsOc5z/C0dfz5wfFp3NrARsETS0rRcjg8C75G0BHg38KEyj7uGLMm7umDdmcDu6VxfAI5N638MDLbOvR44FehKAepesuBbyhHAH1Ir4M7AwjLLZjbZjHX8K3gMLIx9DOxeZENWih0K7Ar8A9kwji+lsh5KNkRlPln8fG2JYwHOAHZL1zIY7/4f2R/br0zrb07rPxkRXWR/nL4h9WAMkbQl8Kl0Xa8CuoEPA0TEALAsldMSZ642rBRUdi5Y/nLB5sIP36fS9kuASwr2n1vwfGhbROwzzOutBd5XYv165y2x/WFgg+7FMo57nKLPQBoX908l9v0TG7aKHVlivzOLlr9AlvSZNbuxjn+FNAYWWC2peAxs4edxaAyspMIxsIdI+mjaZyxjYA9Nzy8ja1EbzdVkre2fYcMxsIelst0saaQxsPNTpwKMPAb2k5JmAz+IiD+XONcWqc6K7Q1cERHrgMcl/YosCd4b+K+UJD0m6ZfDXOMS4PuSfgj8sKDcg70aRERvenqEpBPJ4utWZIngkoJz7ZnW3ZquuT1d26AngK0pnXQ2JbesmZlZLZQa/woeAwuVHQPbL6ka3+1vAc4ja5W8fbhuSknbAR8F9kutbdez4fsqsoR58HrnR8TxBds3JrtGS5ysmZlZPT2Ex8BWcgzs/cD2Jdb/BjhSUqukmcA/Ar8HbgUOS2PXZpFNfih+3RZg24j4JXA6MA3YFLgJ+EDBftOBzcgSzFXpfAeXKMvvgL0k7ZCO65T0ioLtrwD+UKoOmpWTNTMzqyePga3sGNjrKZFwAdeRdUXeTTa27GMR8RhwLdnYt3uB7wF3kP3sUqFW4HuS7gHuJBvH9zTwWWB6mrRwN7BvRNyd9vkj2U8q3VpckPTTTscBV6S6+S3wdwApwVubymaJIopbj83MzKwRpUkDCyPigDEcs2lEPCtpBllr2171SpYknQY8ExEX1eP188oTDMzMzCaJiHhU2U+kbDaG31r7SZqU0Q6cXedWradJP0xuL3LLmpmZmVmOecyamZmZWY45WTMzMzPLMSdrZmZmZjnmZM3MzMwsx5ysmZmZmeWYkzUzMzOzHPv/AcmhXJkFlAryAAAAAElFTkSuQmCC\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "for pmp in sorted(df8_QV['variance-of-perceived-pivotality'].unique()):\n", + " pdf = df8_QV[df8_QV['variance-of-perceived-pivotality']==pmp]\n", + " f, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 4))\n", + " sns.scatterplot(x=\"number-of-voters\", y=\"wellfare-loss\",\n", + " data=pdf, ax=ax1)\n", + "\n", + " sns.scatterplot(x=\"number-of-voters\", y=\"wellfare-loss\",\n", + " data=pdf, ax=ax2)\n", + " ax2.set(xscale=\"log\", xlabel = \"number-of-voters (log scale)\")\n", + " \n", + " f.suptitle(\"QV wellfare loss vs n voters, pmp={}\".format(pmp))\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "## Wellfare loss of QV vs Variance of Percieved Pivotality" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hidden": true + }, + "source": [ + "### Single Graph with four number-of-voters values" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 176, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "pdf = df8_QV[df8_QV['number-of-voters'].isin([11, 101, 501, 1001, 10001])].copy()\n", + "pdf['n_voters'] = pdf['number-of-voters'].apply(lambda n: \"=\" + str(n))\n", + "\n", + "\n", + "f, ax = plt.subplots(figsize=(4, 3))\n", + "sns.scatterplot(x=\"variance-of-pp\", y=\"wellfare-loss\",\n", + " hue=\"n_voters\",\n", + " legend='full',\n", + " ax=ax,\n", + " data = pdf)\n", + "\n", + "ax.set(ylim=(0,.22))\n", + "ax.set_xlabel(\"Variance of Percieved Pivotality\", fontsize=12)\n", + "ax.set_ylabel('Wellfare Loss', fontsize=12)\n", + "ax.tick_params(labelsize=10)\n", + "\n", + "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n", + "plt.savefig(\"figures/1QV_WL_vs_VMPP_prop8.png\", bbox_inches='tight', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "### Separate Graphs for Each number-of-voters value" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "metadata": { + "hidden": true, + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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YN957JN4EYDbwDe4uoyUiMlFERnvVbgKuEpEvcE/1Gq8R7La1qLiUR99dFkgIAMt+3MHyH2P6nGy27yplU2Exm4tif9aSv2MPf3p/OVe9mMvkD1dSEMOYurRMJSVx3010ZO/2ZKRYQjCNS2ZKAr+/oC/JCW57bpWexB9+2p/WDfBgNKJ9H6nqLNyj5Pxl9/heLwWOj2QMfuUVUFS8/+najuKyaIWwn42Fxdw6/Qs+Xr6Zbq3TeWzsAHp1yiApPj7qsWzZWcJ1Uxbx2ffuwVnzVm3hmx8K+e25fclMjf6OuEVqIi9feSy3vfYl67bu4sy+nbju5B6kJkZ/3TRkhcWlxInQLLnRdWXWZKQlJzCqdweGdm/D7tIy0pMTaJ0W8cct10qT2oqapyXyP8O689nKvU8LbJGWSP+uLWIST+HuUu6a8RUffeced7xy805+9vf/8t6Nw2iXGf0d3+6S8kBCqPTPr37gzjN7xyQpJCfGM+jQlrxy9bFUqJKelEC67fgCdhSX8vX6Qp6cu4LUxHhuPPUIstqkk2JJs0FKS04gLcztd+uuEoqKy9hTVkGLtMSoNm83uW/YoENa8spVx/Lsp6ton5nMNcMOj9n1hOKycj5ZsXmfssLiMgqLy2iXWcVEERQfJyTGC6Xle1vw0pMSiHWzp13vCW3FpiJy/vp5YHjusnzm3DyMLi3TYhJPRYWyuWgPW3eV0iwlgYzkhJgcTPht2bmH0nIlPk4azXZUULSHe95cwj+/+gGAw9qm8/JVx9I+SrevxvqW1KjLTE1k6GGteTxnAL8+9QiapyYQHxebvV5CXBy9O+6790+Kj4tZM0BGSgITRhy+T9ntpx9JizRrw29o9pSV88ynq/YpKymv4J2vN8YoIli7ZRdnPv4Jo/74Ecc/NIdJH6xg266SmieMkHVbdnHFc7kc87v3ufivn7NsYyHlFQ3/SZPf5+8MJITK4Wc+XUWJ71poJDW5pACu2ebzlVu49qWFXD91Md/+UMieGNwa1io9iUcu6E/7THcEk5wQxyMX9iMzNTZJIT05gXHHZfHO9SfyyAX9eO/GYZzVvxPJCdYc0dDEi9AuY/8jx7YZsTkaLiwu5YG3l5LvuzHh6Y9Wsm1XbG4f3lJUwi9fXsiiddsA+O7HIn7+zDwKdsb+Zo6ahLrx5ZsN0dtHNbnmI4ClPxQy/tn5AAzs2oLv84tolpJAWlI8rdKj+6Xq1iadt391Ajv3lJOaFE9magKpibH7WFqkJdEiLYkjO8ag/aoR2LKzhO27Syktr6BVWhJtYrQTToiP44oTuvH6wjy2ejve7m3SOe6w/X7mExV7SitYkV+0X/mPhcVktUmPejwlFRV8mbc9KJY9FJc0vN8FBDv+8DaIgP8+zHMGdo7aXXdNLinsLinjWe+0+7jDWnPNsMO4+82vWVOwi4FdW/DniwfSOYptsnFxQtuMFNpmRG2RppYKivZw86tf8MEy91Oa7m3SeeXq6LX1BuuQmcLsG05i0bptpCbG06tjZszOFJqnJnJG3478Ze73gbKUxLiYJASABBG6tUln1eadgbLM1ASSG8FF+DYZyfx93NE8+PZSdhSX8fOhhzKiZ7uoLb/JJYWEuLjAl/ja4Yfzq1cWBo60Fq3bxg1TFzP5Z9m0TG+Yt4uZ2Fn6Q2EgIYC7W+zFz9Zww8geJMRHvyU2Lk5ol5nCqKM6RH3ZwZIS4rjyhG7sLinnzcXr6dwyld+e05eWMboe1bpZEn++eCDjnpnH5qISMlMSmHTxoJjFcyCaJScwomdb+nUeSgVKy9QkEhOit301uaSQmBDH/5x0GG99sYHEeAkkhErzV2+ltDw6F3RM47L8x/2bR77ZWEhJeUVMkkJD07pZMredfiTXDj+MhHiJelOsn4hwZPsMZl1/IrtLyklJjKdlWiJJjeT6mIjErGmySW7JHZu70+72mSmkJ+27kfTumBmzu5FMwza8Z9v9bs+9YFAX0pKa3LFVlVIT42mXmRLThFApPj6OdhkpHNo6nfaZKY0mIcRak0wKlafdHZunMOmSQWSmuC91x+Yp/OmiAQ3yp+cm9tplpPDMuKPp0a4ZnVukcvdZvTi2e+tYh2VMvZIIdjUUEdnZ2Zqbm1tv8yspK2frrlL2lJaTkhRPm/Rk4uxMwVRBVSnYWYIqtExLtGYj02iIyAJVza6pXpM/701KiKd9DLqUMI2TSOP5ZawxtWGHOcYYYwIsKRhjjAmwpGCMMSbAkoIxxpiAiCYFETlNRJaJyAoRuT3E+MdEZLH3952IbItkPMYYY6oXsbuPRCQemAScCuQB80Vkpve0NQBU9de++r8CBkYqHmOMMTWL5JnCEGCFqq5U1RJgCjCmmvo5uOc0G2OMiZFIJoXOwDrfcJ5Xth8RORToBsypYvzVIpIrIrn5+fmhqhhjjKkHDeVC80XAdFUN2dm5qk5W1WxVzW7btm2UQzPGmKYjkklhPdDVN9zFKwvlIqzpyBhjYi6SSWE+0ENEuolIEm7HPzO4kogcCbQEPotgLMYYY8IQsaSgqmXABGA28A0wTVWXiMhEERntq3oRMEUbW898xhhzEIpoh3iqOguYFVR2T9DwfZGMwRhjTPgayoVmY4wxDYAlBWOMMQGWFIwxxgRYUjDGGBNgScEYY0yAJQVjjDEBlhSMMcYEWFIwxhgTYEnBGGNMgCUFY4wxAZYUjDHGBFhSMMYYE2BJwRhjTIAlBWOMMQGWFIwxxgRYUjDGGBMQ0aQgIqeJyDIRWSEit1dR56cislRElojIy5GMxxhjTPUi9uQ1EYkHJgGnAnnAfBGZqapLfXV6AHcAx6vqVhFpF6l4jDHG1CySZwpDgBWqulJVS4ApwJigOlcBk1R1K4CqbopgPMYYY2oQyaTQGVjnG87zyvyOAI4QkU9F5HMROS3UjETkahHJFZHc/Pz8CIVrjDEm1heaE4AewHAgB/iriLQIrqSqk1U1W1Wz27ZtG+UQjTGm6YhkUlgPdPUNd/HK/PKAmapaqqqrgO9wScIYY0wMRDIpzAd6iEg3EUkCLgJmBtV5A3eWgIi0wTUnrYxgTMYYY6oRsaSgqmXABGA28A0wTVWXiMhEERntVZsNFIjIUuAD4BZVLYhUTMYYY6onqhrrGA5Idna25ubmxjoMY4xpVERkgapm11Qv1heajTHGNCCWFIwxxgRYUjDGGBNgScEYY0yAJQVjjDEBlhSMMcYEWFIwxhgTYEnBGGNMgCUFY4wxAZYUjDHGBFhSMMYYE2BJwRhjTIAlBWOMMQGWFIwxxgRYUjDGGBNgScEYY0xAWElBRA4TkWTv9XARuU5EWoQx3WkiskxEVojI7SHGjxeRfBFZ7P1deeBvwRhjTH0J90zhNaBcRA4HJgNdgZerm0BE4oFJwOlAbyBHRHqHqDpVVQd4f38LP3RjjDH1LdykUOE9c/lc4AlVvQXoWMM0Q4AVqrpSVUuAKcCY2odqjDEm0sJNCqUikgOMA972yhJrmKYzsM43nOeVBTtfRL4Ukeki0jXUjETkahHJFZHc/Pz8MEM2xhhzoMJNCpcBQ4HfquoqEekGvFgPy38LyFLVfsC/gedDVVLVyaqararZbdu2rYfFGmOMCSUhnEqquhS4DkBEWgIZqvr7GiZbj7v2UKmLV+afb4Fv8G/Aw+HEY4ypWmlpKXl5eRQXF8c6FBMDKSkpdOnShcTEmhpzQgsrKYjIXGC0V38BsElEPlXVG6uZbD7QwzurWA9cBFwcNN+OqvqDNzga+ObAwjfGBMvLyyMjI4OsrCxEJNbhmChSVQoKCsjLy6Nbt261mke4zUfNVbUQOA94QVWPAUbWEFwZMAGYjdvZT1PVJSIyUURGe9WuE5ElIvIF7kxkfG3ehDFmr+LiYlq3bm0JoQkSEVq3bl2ns8SwzhSABBHpCPwUuDPcmavqLGBWUNk9vtd3AHeEOz9jTHgsITRddf3swz1TmIg74v9eVeeLSHdgeZ2WbIwxpsEJKymo6quq2k9Vf+ENr1TV8yMbmjHmYLd69Wpefnnv72Bzc3O57rrrYhhRzbKysti8eXO9zOuMM85g27Zt9TKv+hJuNxddRGSGiGzy/l4TkS6RDs4Yc3ALTgrZ2dk8/vjjMYwoumbNmkWLFjX2GBRV4TYfPQvMBDp5f295ZcYYs4/bb7+dSZMmBYbvu+8+HnnkEW655Rb69OlD3759mTp1aqDuxx9/zIABA3jssceYO3cuZ511VmC6yy+/nOHDh9O9e/d9ksUDDzxAz549OeGEE8jJyeHRRx/dL47Vq1dz5JFHMn78eI444gguueQS3nvvPY4//nh69OjBvHnzANi5cyeXX345Q4YMYeDAgbz55psAlJeXc/PNN9OnTx/69evHE088EZj3E088waBBg+jbty/ffvstAPPmzWPo0KEMHDiQ4447jmXLlgHw3HPPcd5553HaaafRo0cPbr311sB8Ks86du7cyZlnnkn//v3p06dPYP1kZWVxxx13MGDAALKzs1m4cCGjRo3isMMO46mnnqr7hxWKqtb4BywOpywaf4MHD1ZjTNWWLl0a0+UvXLhQTzrppMBwr1699LnnntORI0dqWVmZbty4Ubt27aobNmzQDz74QM8888xAXf/wvffeq0OHDtXi4mLNz8/XVq1aaUlJic6bN0/79++vu3fv1sLCQj388MP1kUce2S+OVatWaXx8vH755ZdaXl6ugwYN0ssuu0wrKir0jTfe0DFjxqiq6h133KEvvviiqqpu3bpVe/TooUVFRfrkk0/q+eefr6WlpaqqWlBQoKqqhx56qD7++OOqqjpp0iS94oorVFV1+/btgbr//ve/9bzzzlNV1WeffVa7deum27Zt0927d+shhxyia9euDcwrPz9fp0+frldeeWUg9m3btgXGP/nkk6qqesMNN2jfvn21sLBQN23apO3atavyMwi1DQC5GsY+Nty7jwpE5FLgFW84Byiopr4xpokaOHAgmzZtYsOGDeTn59OyZUsWL15MTk4O8fHxtG/fnmHDhjF//nwyMzOrndeZZ55JcnIyycnJtGvXjh9//JFPP/2UMWPGkJKSQkpKCmeffXaV03fr1o2+ffsCcNRRR3HKKacgIvTt25fVq1cD8O677zJz5szA2UZxcTFr167lvffe45prriEhwe0mW7VqFZjveeedB8DgwYN5/fXXAdi+fTvjxo1j+fLliAilpaWB+qeccgrNmzcHoHfv3qxZs4auXff+trdv377cdNNN3HbbbZx11lmceOKJgXGjR48O1CkqKiIjI4OMjAySk5PZtm1bvTc/hdt8dDnudtSNwA/ABbiuL4wxZj8XXngh06dPZ+rUqYwdO7bW80lOTg68jo+Pp6ysrMq669atY8CAAQwYMCDQtOKfPi4uLjAcFxcXmJeq8tprr7F48WIWL17M2rVr6dWrV1hx+WO6++67GTFiBF9//TVvvfXWPr8VqOl9HHHEESxcuJC+ffty1113MXHixP2m9ccf/B7qU7h3H61R1dGq2lZV26nqOaq6tt6jMcYcFMaOHcuUKVOYPn06F154ISeeeCJTp06lvLyc/Px8PvroI4YMGUJGRgY7duw4oHkff/zxgZ1uUVERb7/t+ujs2rVrYMd+zTXXhD2/UaNG8cQTT1Q2i7No0SIATj31VJ5++unAjnfLli3Vzmf79u107uz6/HzuuecO6D1t2LCBtLQ0Lr30Um655RYWLlx4QNPXp2qbj0TkCUCrGq+qDfveMWNMTBx11FHs2LGDzp0707FjR84991w+++wz+vfvj4jw8MMP06FDB1q3bk18fDz9+/dn/PjxDBw4sMZ5H3300YwePZp+/frRvn17+vbtG2iaqY27776bG264gX79+lFRUUG3bt14++23ufLKK/nuu+/o168fiYmJXHXVVUyYMKHK+dx6662MGzeOBx98kDPPPPOAYvjqq6+45ZZbiIuLIzExkb/85S+1fj91JZXZMeRIkXHVTayqIXs1jaTs7GzNzc2N9mKNaTS++eabGps/GruioiKaNWvGrl27OOmkk5g8eTKDBg2KdVgNRqhtQEQWqGp2TdNWe6YQaqcvIh1UdeMBR2mMMfXk6quvZunSpRQXFzNu3DhLCPX5CegAAAAYtUlEQVQo3LuP/GYB9gkYY2LG/4M3U7/CvfvIz3raMsaYg1RtksJf6z0KY4wxDULYzUcicgLQQ1WfFJG2QDNVXRW50IwxxkRbuB3i3Qvcxt5nHyQC/4hUUMYYY2Ij3Oajc3GPy9wJoKobgIyaJhKR00RkmYisEJHbq6l3voioiNR4u5QxpuG7/PLLadeuHX369Kmx7rfffsvQoUNJTk4O2bGdia5wk0KJ16GSAohIek0TiEg8MAk4HegN5IhI7xD1MoDrgf+GG7Qxpv68sWg9xz80h263/5PjH5rDG4vW13me48eP55133gmrbqtWrXj88ce5+eab67xcU3fhJoVpIvI00EJErgLeo+YLzkOAFeoeyFMCTAHGhKj3APB7oPYPFTXG1Mobi9Zzx+tfsX7bbhRYv203d7z+VZ0Tw0knnbRPB3IAw4cP5/rrr2fAgAH06dMn0HV1u3btOProo0lMTNynfqguuO1MIvLC7fvoUWA68BrQE7hHVZ+ofio6A+t8w3leWYCIDAK6quo/q5uRiFwtIrkikpufnx9OyMaYMDwyexm7S8v3KdtdWs4js5dFZHm7du1i8eLFPPnkk1x++eXV1h07dizTpk0LDE+bNq1OneuZ8NR495HXDPSeqo4A/l1fCxaROOD/gPE11VXVycBkcN1c1FcMxjR1G7btPqDyusrJyQHcmURhYWG1XT+H6oLb3920iYwak4KqlotIhYg0V9XtBzDv9YD/E+zilVXKAPoAc0UEoAMwU0RGq6p1bmRMFHRqkcr6EAmgU4vUiCzP+65XORyssgvujRs32llClIT7O4Ui4CsR+TfeHUhQYy+p84EeItINlwwuAi72TbsdaFM5LCJzgZstIRgTPbeM6skdr3+1TxNSamI8t4zqGZHlTZ06lREjRvDJJ5/QvHnzGns3HTt2LFdddRWbN2/mww8/jEhMZl/hJoXXvb+wqWqZiEwAZgPxwDOqukREJuIeCzfzwEI1xtS3cwa6y3yPzF7Ghm276dQilVtG9QyU11ZOTg5z585l8+bNdOnShfvvvx+AlJQUBg4cSGlpKc888wwAGzduJDs7m8LCQuLi4vjjH//I0qVLyczM3K8LbhN51Xad3RBZ19nGVK+hdp09fPhwHn30UbKz7edIkRaxrrN9M+sB/C/u9wYpleWq2v3AQjXGGNOQhdt89CxwL/AYMAL3fObadKZnjGmi5s6dG+sQTBjC3bGnqur7uOamNap6H3Bgz5szxhjT4IV7prDH+13Bcu/i8XqgWeTCMsYYEwvhnilcD6QB1wGDgUuBap/fbIwxpvGp9kxBRF5U1Z8Bx6nqfNzvFS6LSmTGGGOirqYzhcEi0gm4XERaikgr/180AjTGNE55eXmMGTOGHj160L17dyZMmMD27dtp3bo1hYWF+9Q955xzmDp1aowiNX41JYWngPeBI4EFQX/2YwFjDgZfToPH+sB9Ldz/L6fVPE0NVJXzzjuPc845h+XLl7N8+XJ2797NPffcw6hRo5gxY0ag7vbt2/nkk084++yz67xcU3fVJgVVfVxVe+F+jdxdVbv5/uw3CsY0dl9Og7eug+3rAHX/37quzolhzpw5pKSkcNllrrU5Pj6exx57jBdeeIGcnBymTJkSqDtjxgxGjRpFWlpanZZp6ke1ScHXTHRncNORNR8ZcxB4fyKUBnWIV7rbldfBkiVLGDx48D5lmZmZZGVl0b59exYuXEhBQQEAU6ZMCfSeamKvpltSF+A9bQ0I7s5QATtbMKYx2553YOX1ICkpidGjRzN9+nTOP/98Fi1axKhRoyK2PHNgqk0KqtotWoEYY2KgeRev6ShEeR307t2b6dOn71NWWFjIxo0b6dmzJzk5OTzwwAOoKmPGjNnvqWsmdmpqPhpU3V+0gjTGRMgp90Bi0LMTElNdeV1me8op7Nq1ixdeeAGA8vJybrrpJiZMmEBqairDhw9n+fLlTJo0yZqOGpia7j76QzV/9rBUYxq7fj+Fsx+H5l0Bcf/PftyV14GIMGPGDKZPn06PHj1o3bo1cXFx3HnnnQDExcVxwQUXUFBQwLBhw+rhjZj6Yl1nG3OQaYhdZ//nP/8hJyeHGTNmMGiQNTJEWjS6zk4DbgQOUdWrva60e6rq27UJ2BjTtBx33HGsWbMm1mGYMITb99GzQAlwnDe8HniwpolE5DQRWSYiK0Tk9hDjrxGRr0RksYh8IiK9w47cGGNMvQs3KRymqg8DpQCquov9b1Hdh4jEA5OA03EP58kJsdN/WVX7quoA4GHg/w4keGNMaI2tWdjUn7p+9uEmhRIRScX7zYKIHAbsqWGaIcAKVV2pqiXAFGCMv4Kq+jtASWfvbyKMMbWUkpJCQUGBJYYmSFUpKCggJSWl5spVCPd5CvcC7wBdReQl4HhgfA3TdAb8N0DnAccEVxKRX+KuVyQBJ4eakYhcDVwNcMghh4QZsjFNU5cuXcjLyyM/Pz/WoZgYSElJoUuX2v/OJNykMA74JzAdWAlcr6qba71UH1WdBEwSkYuBuwjxnAZVnQxMBnf3UX0s15iDVWJiIt262e9OTe2E23z0dyAFGA08ATwtItfXMM16oKtvuItXVpUpwDlhxmOMMSYCwkoKqvoB8FvgbuCvQDbwixommw/0EJFuIpIEXATM9Ffwbm2tdCawPMy4jTHGREC4v1N4H3ch+DPgY+BoVd1U3TSqWuY9z3k2EI/rfnuJiEwEclV1JjBBREbi7mraij3i0xhjYircawpf4p7N3AfYDmwTkc9UdXd1E6nqLGBWUNk9vtc1NUEZY4yJorCSgqr+GkBEMnB3HT0LdACSIxaZMcaYqAu3+WgCcCLubGE18AyuGckYY8xBJNzmoxTcr40XqGpZBOMxxhgTQ+E2H1k32cYY0wSE+zsFY4wxTYAlBWOMMQGWFIwxxgRYUjDGGBNgScEYY0yAJQVjjDEBlhSMMcYEWFIwxhgTYEnBGGNMgCUFY4wxAZYUjDHGBFhSMMYYExDRpCAip4nIMhFZISK3hxh/o4gsFZEvReR9ETk0kvEYY4ypXsSSgojEA5OA04HeQI6I9A6qtgjIVtV+wHTg4UjFY4wxpmaRPFMYAqxQ1ZWqWgJMAcb4K6jqB6q6yxv8HOgSwXiMMcbUIJJJoTOwzjec55VV5QrgX6FGiMjVIpIrIrn5+fn1GKIxxhi/BnGhWUQuBbKBR0KNV9XJqpqtqtlt27aNbnDGGNOEhPs4ztpYD3T1DXfxyvYhIiOBO4FhqrongvEYY4ypQSTPFOYDPUSkm4gkARcBM/0VRGQg8DQwWlU3RTAWY4wxYYhYUlDVMmACMBv4BpimqktEZKKIjPaqPQI0A14VkcUiMrOK2RljjImCSDYfoaqzgFlBZff4Xo+M5PKNMcYcmAZxodkYY0zDYEnBGGNMgCUFY4wxAZYUjDHGBFhSMMYYE2BJwRhjTIAlBWOMMQGWFIwxxgRYUjDGGBNgScEYY0yAJQVjjDEBlhSMMcYEWFIwxhgTYEnBGGNMgCUFY4wxAZYUjDHGBEQ0KYjIaSKyTERWiMjtIcafJCILRaRMRC6IZCzGGGNqFrGkICLxwCTgdKA3kCMivYOqrQXGAy9HKg5jjDHhi+TjOIcAK1R1JYCITAHGAEsrK6jqam9cRQTjMMYYE6ZINh91Btb5hvO8sgMmIleLSK6I5Obn59dLcMYYY/bXKC40q+pkVc1W1ey2bdvGOhxjjDloRTIprAe6+oa7eGXGGGMaqEgmhflADxHpJiJJwEXAzAguzxhjTB1FLCmoahkwAZgNfANMU9UlIjJRREYDiMjRIpIHXAg8LSJLIhWPMcaYmkXy7iNUdRYwK6jsHt/r+bhmJWOMMQ1Ao7jQbIwxJjosKRhjjAmwpGCMMSbAkoIxxpgASwrGGGMCLCkYY4wJsKRgjDEmIKK/UzDGGOPZuRl+XAIbFkGPUyGzC6Q2j3VU+7GkYIw5OO3aCttWw4o5cMgx0LYXpLeOXSz/ug2+nu6G37sXxjwJ/cZCfBW74T1FUFEGqS2iFyeWFIwxB6PSYvjiJZh9596y7Cth5D2QEoOj85KivQmh0vv3weEjIaP9vuVle2DLKpjzABRvh+MmQNdjo5YcLCkYc6CKd4CWQWrLWEcCRfmwewvEJUBKi9gdCYM7st3xA3zzFrQ+HA45Fpq1i00sxdtg7kP7li14Bk68MTZJoaJ8/7LS3aHr7syHycOgrNgNr/4YfvYGHDYicvH5WFIwJlylxVCwAt6f6I78jr8euh4T9dP7gB0/wgujIf9bN9z9ZDh/MqTH6JkjGxa6eFTdcOfBkDMVmsUiHnVH3PsUVQAxeshjcjO3PtYv2Ft2zDWhE9TKuXsTQqXPn4QuR7v5RJglBbO/ok2uLTM+CdLbxDaW3dtgTyHs3grN2kNaW4iPj00sOzfBX0dAeYkbXvMpjHsbup0Y/VgqymHh83sTAsDKObB+ERzxk+jHs7PAtZNXJgRwO8CijbFJCsmZMHg8zJu8t+zwkZCYHv1YwH2PcqbA4pcgbz70OR+6D4fElBB1Q5xdNevgzgajwJKC2auiwu1kXh0Hm7+DDn3hwueh9WGxiWf3VvjkMfj0T244tSVcPhva9oxNPN/N3psQKv33KXcEmJQW3VjKS2HjV/uX/7gkNkmBiv2PzAHKSvYvi4akdBh2O3QaBN++DVknuh1xWqvYxAOuKe2466B8DyRWs710GuC+e5Wfb0oLOOmm0AkkAux3CgAlu9ztYrHYgMtKYMdGd1S1bZ27sBQrO/Ph5QtdQgC3UU77mSuPhd3b9yYEcEli1i3ufyxkdNy/LLMzxCVGP5bEFBhw8f7lR54R/VgA0trA8TfsW9YyC1rEsGf89NYwIAfO/xsMuTpGzVhB4uKrTwjgkselr8P4f8LYl+Daz6F51+qnqUcRPVMQkdOAPwHxwN9U9aGg8cnAC8BgoAAYq6qrIxkTAMWFsGeH2wEnpcPHj7p7h3ue7jaeaLbJ/vg1PH8WlOx0wyPvh+zLISUzejFUKiuG7XlB8S3Z/+g4WnZu2r9sy8rYHX12HQLtj3LrBNxR53G/goQYJAVw1zNO+z189meXJEbeHzpxRYMI9PgJ/HwmLHgO2hwB2Ze5Jr9YS0yNdQQHrlm7mF2kj1hSEJF4YBJwKpAHzBeRmaq61FftCmCrqh4uIhcBvwfGRiomwN2tsXMTTLkERt4HHz4Em75x4zZ+5XaKpz8SlQs67NwMM3+1NyEAvH8/9LswNkkhIdm1fe7cvLesVffYHAkDtDgEkjNcAq901LmxuXsE3Jf0Z2+4M6mSIug4IHT7b7SktYKjr3TrRMQdzIjELp7UFtB9mLt9Mj4R4qwhojGK5Kc2BFihqitVtQSYAowJqjMGeN57PR04RSSCW3V5Kaz5Dyx8AbaucvcHVyaESl9Oc1/4aKgoc3H4aYVrzoqFtNbw0xf3trs2a++uKcTqbpa01nDZO+4IvVl7OPaXcPx1UWtbDalZO8g6AY44DTI6xH7HF5/gtuNm7WKbEPwSk2O/XkytRbL5qDOwzjecBxxTVR1VLROR7UBrYDORsGcH7NgAW1e7YYl3bXz+e4ijebSV1Ax6jYYvXtlb1qy9u3MiFuIT3W1vv/jMNSUlpLozh1jtbOIToUMfd1tjeak7e2qMTQHGNCKNIp2LyNUikisiufn5dbjomZQOEgdHnuWGv3sHjr3Wt6A4OOsxd9EsGpKbwakT3TWEjA7uFrXxs2J3ZA5uR5zRwV0kzGjvkmaspbVysVhCMCbiRP33FdfnjEWGAvep6ihv+A4AVf1fX53ZXp3PRCQB2Ai01WqCys7O1tzc3NoHVvQj5C1w7cKLXoQTboSO/WDbWncbWFprlzyiqWSXuxc/Iblh/ErWGHPQEZEFqppdU71INh/NB3qISDdgPXAREHwP3UxgHPAZcAEwp7qEUC+atXedY3UZ7O5brjwy7tA3ooutVlJa9O9zN8aYECKWFLxrBBOA2bhbUp9R1SUiMhHIVdWZwN+BF0VkBbAFlzgiLy2G/cMYY0wDFtHfKajqLGBWUNk9vtfFwIWRjMEYY0z4GsWFZmOMMdFhScEYY0yAJQVjjDEBlhSMMcYEWFIwxhgTELEfr0WKiOQDa+ppdm2IVJcajZ+tm+rZ+qmerZ+qxWrdHKqqNXaX0OiSQn0SkdxwfuHXFNm6qZ6tn+rZ+qlaQ1831nxkjDEmwJKCMcaYgKaeFCbXXKXJsnVTPVs/1bP1U7UGvW6a9DUFY4wx+2rqZwrGGGN8LCkYY4wJOCiTgoicJiLLRGSFiNweYnyyiEz1xv9XRLJ84+7wypeJyKhoxh0ttV0/InKqiCwQka+8/ydHO/ZoqMv2440/RESKROTmaMUcLXX8bvUTkc9EZIm3DcXwYduRUYfvVqKIPO+tl28qH0oWE6p6UP3hnt3wPdAdSAK+AHoH1bkWeMp7fREw1Xvd26ufDHTz5hMf6/fUgNbPQKCT97oPsD7W76chrR/f+OnAq8DNsX4/DWXd4Lrp/xLo7w23tu/WPuvnYmCK9zoNWA1kxeJ9HIxnCkOAFaq6UlVLgCnAmKA6Y4DnvdfTgVNERLzyKaq6R1VXASu8+R1Mar1+VHWRqm7wypcAqSKSHJWoo6cu2w8icg6wCrd+DjZ1WTc/Ab5U1S8AVLVAVcujFHe01GX9KJDuPZY4FSgBCqMT9r4OxqTQGVjnG87zykLWUdUyYDvuyCWcaRu7uqwfv/OBhaq6J0Jxxkqt14+INANuA+6PQpyxUJdt5whARWS2iCwUkVujEG+01WX9TAd2Aj8Aa4FHVXVLpAMOJaJPXjMHJxE5Cvg97ujP7HUf8JiqFnknDmavBOAE4GhgF/C+9yD592MbVoMxBCgHOgEtgY9F5D1VXRntQA7GM4X1QFffcBevLGQd73StOVAQ5rSNXV3WDyLSBZgB/FxVv494tNFXl/VzDPCwiKwGbgB+4z2n/GBRl3WTB3ykqptVdRfuMb2DIh5xdNVl/VwMvKOqpaq6CfgUiEn/SAdjUpgP9BCRbiKShLuYMzOozkxgnPf6AmCOuis8M4GLvDsEugE9gHlRijtaar1+RKQF8E/gdlX9NGoRR1et14+qnqiqWaqaBfwR+J2q/jlagUdBXb5bs4G+IpLm7QyHAUujFHe01GX9rAVOBhCRdOBY4NuoRB0s1lfsI/EHnAF8h7sT4E6vbCIw2nudgrs7ZAVup9/dN+2d3nTLgNNj/V4a0voB7sK1ey72/bWL9ftpKOsnaB73cZDdfVTXdQNcirsA/zXwcKzfS0NaP0Azr3wJLlneEqv3YN1cGGOMCTgYm4+MMcbUkiUFY4wxAZYUjDHGBFhSMMYYE2BJwRhjTIAlBdOkicgs7/cXDYaIvCIiX4rIr2Mdi2l67JZU0yR5nZCJqlbEOhY/EekAfKKqh8c6FtM02ZmCadRE5CER+aVv+D4RuUtE3vc6XvtKRMZ447K8vu5fwP2AqquIrBaRNt74N7znRCwRkat98ywSkd+KyBci8rmItPfK24vIDK/8CxE5ziu/VETmichiEXlaROJDxJ0iIs968S0SkRHeqHeBzt60JwZNkyUi34rIS16f+9NFJM0bt1pEHvbmN09ELKmYWrGkYBq7qcBPfcM/xXVNfK6qDgJGAH+o7Noa13XJk6p6lKquCZrX5ao6GNfnzHUiUtkzbDrwuar2Bz4CrvLKHwc+9MoHAUtEpBcwFjheVQfgOjm7JETcvwRUVfsCOcDz4h46Mxr4XlUHqOrHIabr6cXfC9e18rW+cdu9+f0Z182GMQfMkoJp1FR1EdBORDqJSH9gK7AR+J2IfAm8h+uuuL03yRpV/byK2V0nIl8An+M6LevhlZcAb3uvFwBZ3uuTgb94cZSr6nbgFGAwMF9EFnvD3UMs6wTgH9603wJrcN1L12Sd7u136h/efCq94vs/NIx5GbMf6zrbHAxexXUu1gF35nAJ0BYYrKqlXq+llY9+3BlqBiIyHBgJDFXVXSIy1zdNqe69+FZO9d8bAZ5X1X0epygi5wL3eoNXhvOmRKQr8JY3+BTwDu5hLH4axmtjwmZnCuZgMBXXI+UFuATRHNjkJYQRwKFhzKM5sNVLCEfieqmsyfvALwBEJF5EmntlF4hIO6+8lYgcqqozvCahAaqaC3yM16wkIkcAh+A6YQxQ1XW+aZ7yig8RkcqzgIuBT3yTjPX9/yyM+I3ZjyUF0+ip6hIgA/fM6B+Al4BsEfkK+DnhdUH8DpAgIt8AD+GakGpyPTDCW84C3PN4l+J6k33Xa776N9AxxLRPAnHetFOB8RreU+yWAb/04myJ13zlaekt83rAbmc1tWK3pBrTSIhIFvC2qvYJMW41kK2qm6McljnI2JmCMcaYADtTMMYYE2BnCsYYYwIsKRhjjAmwpGCMMSbAkoIxxpgASwrGGGMC/h/hCiTq8JAohwAAAABJRU5ErkJggg==\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "for n_voters in df8['number-of-voters'].unique():\n", + " ax = sns.scatterplot(x=\"variance-of-pp\", y=\"wellfare-loss\",\n", + " hue=\"voting-mechanism\",\n", + " data = df8[df8[\"number-of-voters\"] == n_voters])\n", + " ax.set_title('wellfare loss vs perceived pivotality, n_voters={}'.format(n_voters))\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true + }, + "source": [ + "# Wellfare Loss Prop8 Calibration, MP divided by various amounts" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "## The Data" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [ + "df8 = pd.read_csv('2020.02.22-single-issue-QV-prop8-divide-mpp.csv')\n", + "cols_to_drop = ['minority-fraction', 'majority-mean-utility', 'majority-utility-stdev', 'minority-mean-utility',\n", + " 'minority-utility-stdev', 'limit-votes?', 'payoff-include-votes-cost?']\n", + "df8.drop(columns=cols_to_drop, inplace=True)\n", + "df8.rename(columns={'variance-of-perceived-pivotality': 'variance-of-pp'}, inplace=True)\n", + "df8['wellfare-loss'] = 1 - df8['mean payoff-sign-list']\n", + "df8_1p1v = df8[(df8['voting-mechanism'] == \"1p1v\")].copy().reset_index()\n", + "df8_QV = df8[(df8['voting-mechanism'] == \"QV\")].copy().reset_index()\n", + "df8_QV['mpp-str'] = df8_QV['mpp-divided'].apply(lambda x: \"=\" + str(x))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "## Wellfare loss of QV vs number of voters\n", + "\n", + "There doesn't seem to be any difference in WL depending on if perceived marginal pivotality is divided by 10, 100 or not." + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [ + "def WL_vs_num_voters(pdf, title):\n", + " f, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 5))\n", + " sns.scatterplot(x=\"number-of-voters\", y=\"wellfare-loss\",\n", + "# hue='variance-of-pp',\n", + " hue=\"mpp-str\",\n", + " data=pdf, ax=ax1)\n", + "\n", + " sns.scatterplot(x=\"number-of-voters\", y=\"wellfare-loss\",\n", + "# hue='variance-of-pp',\n", + " hue=\"mpp-str\",\n", + " data=pdf, ax=ax2)\n", + " ax2.set(xscale=\"log\", xlabel = \"number-of-voters (log scale)\")\n", + "\n", + " plt.setp(ax1.get_legend().get_texts(), fontsize='10') # for legend text\n", + " plt.setp(ax1.get_legend().get_title(), fontsize='10') # for legend title\n", + " plt.setp(ax2.get_legend().get_texts(), fontsize='10') # for legend text\n", + " plt.setp(ax2.get_legend().get_title(), fontsize='10') # for legend title\n", + "\n", + " f.suptitle(title, y=1)\n", + "\n", + " f.tight_layout()\n", + " plt.show()\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": { + "hidden": true, + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "for var_pp in df8_QV['variance-of-pp'].unique():\n", + " WL_vs_num_voters(df8_QV[df8_QV['variance-of-pp'] == var_pp], \"QV wellfare loss vs n voters (variance-of-pp={})\".format(var_pp))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hidden": true + }, + "source": [ + "## Wellfare loss of QV vs variance of perceived pivotality" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "def plot_WL_vs_variance_of_pp(ldf, n_voters_list, title):\n", + " pdf = ldf[ldf['number-of-voters'].isin(n_voters_list)].copy()\n", + " pdf['n_voters'] = pdf['number-of-voters'].apply(lambda n: \"=\" + str(n))\n", + "\n", + " ax = sns.scatterplot(x=\"variance-of-pp\", y=\"wellfare-loss\",\n", + " hue=\"mpp-str\",\n", + " style=\"n_voters\",\n", + " legend='full',\n", + " data = pdf)\n", + " plt.title(title)\n", + " ax.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n", + " plt.show()\n", + " \n", + "plot_WL_vs_variance_of_pp(df8_QV, [11, 101, 501], \"WL vs variance of percieved pivotality\")\n", + "# 1001, 10001" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true + }, + "source": [ + "# WL - QV Right Direction Random Magnitude results" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "## QV-RDRM Normal Distribution" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hidden": true + }, + "source": [ + "### The Data" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0.27814285714285714" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df9 = pd.read_csv('2020.07.10 QV-right-direction-random-magnitude-normal-dist.csv')\n", + "df9['wellfare-loss'] = 1 - df9['mean payoff-sign-list']\n", + "df9['wellfare-loss'].mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0.2779999999999999" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "x = .87\n", + "1 - (.8 * x + .2 * (1-x))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hidden": true + }, + "source": [ + "### The graph\n", + "The reason that this is slightly worse than 1p1v is:\n", + "When the median and mean of the utilities have the same sign, 1p1v maximizes welfare. With a normal distribution, this is about .8 of the time. When they are oposite, 1p1v doesn't maximize welfare. So, 1p1v has WL of about .2 for normally distributed utilities. \n", + "\n", + "QV-RDRM acts like 1p1v but with noise. With a normal distribution, that noise is bad 80% of the time when the mean and medians are the same, because the noise either does nothing, or flips the outcome incorrectly. The noise is good the other 20% of the time. So on the whole QV-RDRM does worse than 1p1v on a normal distribution. " + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "No handles with labels found to put in legend.\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "mean wellfare loss: 0.27814285714285714\n" + ] + } + ], + "source": [ + "f, ax1 = plt.subplots(figsize=(4, 3))\n", + "sns.scatterplot(x=\"number-of-voters\",\n", + " y=\"wellfare-loss\",\n", + " data=df9,\n", + " ax=ax1)\n", + "\n", + "ax1.set(xscale=\"log\",ylim=(0,1))\n", + "ax1.set_xlabel(\"Number of Voters (log scale)\", fontsize=12)\n", + "ax1.set_ylabel('Prop8 WL', fontsize=12)\n", + "ax1.tick_params(labelsize=10)\n", + "\n", + "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n", + "# plt.savefig(\"figures/sQV_WL_vs_n_voters_prop8.png\", bbox_inches='tight', dpi=300)\n", + "plt.show()\n", + "print(\"mean wellfare loss: {}\".format(df9['wellfare-loss'].mean()))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hidden": true + }, + "source": [ + "## Prop 8 " + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hidden": true + }, + "source": [ + "### The Data" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0.28400000000000003" + ] + }, + "execution_count": 59, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df10 = pd.read_csv('2020.07.10 QV-right-direction-random-magnitude-prop8.csv')\n", + "df10['wellfare-loss'] = 1 - df10['mean payoff-sign-list']\n", + "df10['wellfare-loss'].min()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "No handles with labels found to put in legend.\n" + ] + }, + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "f, ax1 = plt.subplots(figsize=(4, 3))\n", + "sns.scatterplot(x=\"number-of-voters\",\n", + " y=\"wellfare-loss\",\n", + " data=df10,\n", + " ax=ax1)\n", + "\n", + "ax1.set(xscale=\"log\",ylim=(0,1))\n", + "ax1.set_xlabel(\"Number of Voters (log scale)\", fontsize=12)\n", + "ax1.set_ylabel('Prop8 WL', fontsize=12)\n", + "ax1.tick_params(labelsize=10)\n", + "\n", + "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n", + "# plt.savefig(\"figures/sQV_WL_vs_n_voters_prop8.png\", bbox_inches='tight', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "## 1p1v normal dist comparison" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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[run number]number-of-votersminority-fractionmajority-mean-utilitymajority-utility-stdevminority-mean-utilityminority-utility-stdevcalibrationmarginal-pivotalityvariance-of-pmp...payoff-include-votes-cost?voting-mechanism[step]mean payoff-sign-listmean payoff-liststandard-deviation payoff-listmean vote-sum-liststandard-deviation vote-sum-listmean mean-median-same-sign-listwellfare-loss
0251002101manual0.50...False1p1v10000.8079.25232510.720377-0.2586.9838540.8070.193
1111002101manual0.50...False1p1v10000.8224.4042944.8457240.0183.3756590.8220.178
23101002101manual0.50...False1p1v10000.77712.67415115.903170-0.0929.9040210.7770.223
34501002101manual0.50...False1p1v10000.79727.31019233.5968320.17221.4496270.7970.203
451001002101manual0.50...False1p1v10000.82243.34339847.7542281.07832.4284060.8220.178
565001002101manual0.50...False1p1v10000.78992.669346113.3528870.92271.4791380.7890.211
6710001002101manual0.50...False1p1v10000.811133.714622153.346359-0.64099.6962670.8110.189
\n", + "

7 rows × 21 columns

\n", + "
" + ], + "text/plain": [ + " [run number] number-of-voters minority-fraction majority-mean-utility \\\n", + "0 2 51 0 0 \n", + "1 1 11 0 0 \n", + "2 3 101 0 0 \n", + "3 4 501 0 0 \n", + "4 5 1001 0 0 \n", + "5 6 5001 0 0 \n", + "6 7 10001 0 0 \n", + "\n", + " majority-utility-stdev minority-mean-utility minority-utility-stdev \\\n", + "0 2 10 1 \n", + "1 2 10 1 \n", + "2 2 10 1 \n", + "3 2 10 1 \n", + "4 2 10 1 \n", + "5 2 10 1 \n", + "6 2 10 1 \n", + "\n", + " calibration marginal-pivotality variance-of-pmp ... \\\n", + "0 manual 0.5 0 ... \n", + "1 manual 0.5 0 ... \n", + "2 manual 0.5 0 ... \n", + "3 manual 0.5 0 ... \n", + "4 manual 0.5 0 ... \n", + "5 manual 0.5 0 ... \n", + "6 manual 0.5 0 ... \n", + "\n", + " payoff-include-votes-cost? voting-mechanism [step] mean payoff-sign-list \\\n", + "0 False 1p1v 1000 0.807 \n", + "1 False 1p1v 1000 0.822 \n", + "2 False 1p1v 1000 0.777 \n", + "3 False 1p1v 1000 0.797 \n", + "4 False 1p1v 1000 0.822 \n", + "5 False 1p1v 1000 0.789 \n", + "6 False 1p1v 1000 0.811 \n", + "\n", + " mean payoff-list standard-deviation payoff-list mean vote-sum-list \\\n", + "0 9.252325 10.720377 -0.258 \n", + "1 4.404294 4.845724 0.018 \n", + "2 12.674151 15.903170 -0.092 \n", + "3 27.310192 33.596832 0.172 \n", + "4 43.343398 47.754228 1.078 \n", + "5 92.669346 113.352887 0.922 \n", + "6 133.714622 153.346359 -0.640 \n", + "\n", + " standard-deviation vote-sum-list mean mean-median-same-sign-list \\\n", + "0 6.983854 0.807 \n", + "1 3.375659 0.822 \n", + "2 9.904021 0.777 \n", + "3 21.449627 0.797 \n", + "4 32.428406 0.822 \n", + "5 71.479138 0.789 \n", + "6 99.696267 0.811 \n", + "\n", + " wellfare-loss \n", + "0 0.193 \n", + "1 0.178 \n", + "2 0.223 \n", + "3 0.203 \n", + "4 0.178 \n", + "5 0.211 \n", + "6 0.189 \n", + "\n", + "[7 rows x 21 columns]" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df11 = pd.read_csv('2020.07.10 1p1v-normal-dist.csv')\n", + "df11['wellfare-loss'] = 1 - df11['mean payoff-sign-list']\n", + "df11" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "No handles with labels found to put in legend.\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "mean wellfare loss: 0.1964285714285714\n" + ] + } + ], + "source": [ + "f, ax1 = plt.subplots(figsize=(4, 3))\n", + "sns.scatterplot(x=\"number-of-voters\",\n", + " y=\"wellfare-loss\",\n", + " data=df11,\n", + " ax=ax1)\n", + "\n", + "ax1.set(xscale=\"log\",ylim=(0,1))\n", + "ax1.set_xlabel(\"Number of Voters (log scale)\", fontsize=12)\n", + "ax1.set_ylabel('Prop8 WL', fontsize=12)\n", + "ax1.tick_params(labelsize=10)\n", + "\n", + "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n", + "# plt.savefig(\"figures/sQV_WL_vs_n_voters_prop8.png\", bbox_inches='tight', dpi=300)\n", + "plt.show()\n", + "print(\"mean wellfare loss: {}\".format(df11['wellfare-loss'].mean()))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Vote vs Utility Graphs\n" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [], + "source": [ + "d1p1v = pd.read_csv('u-vs-v-1p1v.csv')\n", + "QV0 = pd.read_csv('u-vs-v-QV-no-variance.csv')\n", + "QV5 = pd.read_csv('u-vs-v-QV-variance=.050.csv')\n", + "QVrdrm = pd.read_csv('u-vs-v-QV-rdrm.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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ahhBishDiayHE10VFRc3WQIVCoTidUaJcoWgEhBB3+EWISwjx+nGOvVsIcUgIcVQI8ZoQwlrf8QpFjGAHjoa8D7xOrHmglHK+lPJCKeWFaWnNGgasUChaCJomKapw8VNpFUUVLjSt5ZfwjjlRrsSN4jQlEJf7Wn0HhcTlDgE6oS9H/GhTN06haAQc6Eu2Bwi8rohCWxQKRQtG0yQ7Dldw3UtfMGjWp1z30hfsOFzR4oV5LCZ6NmnSUTTweHwcqXTj9mkYDQKLUYAEn5RoEryaxGQQWE0GzEZwuDR8msRsMmA1CZxuLewYkxEqXce2xVkMVFb7MBoEJoPAYDCQkmDBYBAn1E5NkxRXunF7fVhMxuA16tpe3/lCCIwCDAYDSXGmsO9vsxhItlnrbV/otcwmAyaDwOPV8EnQpMQQcv2UBAtA8HibxYhXk3i8Wr3tbUyklG8DCCEuBDLqOTQYl+s/fiawhBi029OJhtpoLHxOc7W1CdgO9Abe9L/vDRyWUh4vFl0Ro0TbFqP9+YrYpbjSzaSFX1NQ6gSgoNTJpIVf8860QaQltlz/a8yJ8pYmbjweHzuLHExZlEdBqZOMZBuzR2bTLimOEoeHuZ/9QG5OJikJFtq2iqPM6WP8gq8oKHUyNCudO4d04/bFx859eXRfbBZj8JjAtkVf7mP9j8XMys3mjfV7uPvK7nRNs1Pq9DSowwuMSgM3QUayjVfGXUjXNDu7ihy1tndvmxh2rUjnz8rNZteho1zSLZ0DJU7iLUaq3D7aJJg5GuelU0pCneI+9FpDs9L5wzU9Adh7pIoPvj3IsPPb0TElnqKKKqo9cThcPiYt/Jo0u5X7r+7O9JVb621vFDkPWB3yPhiXG0ncCCEmA5MBOnbs2DwtPM2oy3Yb+/+8MT6nudp6IgghTOjPAiNgFELEAV4ppbfGoQuB14UQS4CDwJ+B15uzrYrGI9q2GO3PV8Q2bq8vKMgDFJQ6cXt9UWpR8xBz4SsnQIOTjqJJUaU7KMhBN6rpK7fi9cHcz37gloGdmbkmn5Fzv+SmVzZQVOEiza6PAnNzMoOCPHDu7Us2caDEWWvbXVd0Jc1u5YFVW8nNyWTSwq/5+aizwVM/dY1KCx2uiNuLK93HPf+BVVu56vz2FFW4mLF6G6Pmb2DG6m1UuX0UO9wcPOqMGCcWeq0+mUncMrAzY1/dyOVzPmPZxn2MufhsZqzexpCnPuO+t7ZQWuXhmX/toKDUydTBXYKCvL72RpEGx+WCis1tCHXZ7on+nwfiFw8fdfJzmbNWHGNjfM7xrhGlGMo/A050h8YY/+s/CyE6CiEcQoiOAFLKD4EngU+Bff6/h5ujgYrGpz5bbA47bKz7VtEyqXB5yUgOD5bISLZhMRmj1KLm4XQW5Q0WN9GsBOD1aRFHewahi+4HVm2tJdinDu4CQJLNHPHceIux1ja3V+PhX2eRZrcGzyuscDW4w6trVFpX+2uOVus636fJWiJ5+sqtpNotFJQ6Iw4WQq81dXCXsN8oNyeTaUs2hV1v2pJN5OZk1vubxdDoWsXlNjL1eVSOJy5C9xeUVvH3//zAD0WV3DDvy+Bg9ruD5ZRUuiJ+Tprditvra7B4OV5boxFDKaV8REopavw9IqXcL6W0Syn3hxz7tJSyrZSylZRywvEWDlLELnXZoqZpzWKHZ6onVHF8fih08PA/tvPUDb2DwjwwkxIIV22pnM6ivMHiJpreRqNBRBztaRJSEiwRO6UkmxmAMqcn4rlVbl+tbfuKqyit9HDXkK7B82oK8Po6PIvJGPGzTEbDcUermqbHxkc6zqfJyB2/1L9fpMFCaFtqiuy6RHfgRq3rN4uh0XUgLjfAGReX29heOJvFyILxF7Fi8gDmjc2hT2YSGck2zCZDRHHh9WpBj/h3h8qD+2/++/8Y1e/sWgPlKYvz2HLgKD5NhtlWn8wk7r+6O6Pmb2iweKnrPrOYjMpzqGhW6rJFnySiHR4qr25Uz3l994LizKXa4+OOpZvYVeTgnNQE3pk2iC8euJx3pg06I0KbTmdRflqIG4OAl8fkhI32Zo/Mxqv5SEmw1Cu6V+Ud4KXRfcPOfXl0X1LtlrBts3KzeW7tLuItRjqnJrAq7wCvT7iIbm3t/Pvey/jX3ZdyQ04GQ7PSEUKEdawBgeT2+lh6W3+GZqUHr/vKuAtJt1t5ZdyF9Y5Wy5xuSipdzB6ZHXbc3DE5OKojT0EZDYK563YDtQcLKQmW4GfWFNl1ie70RKv+met212pHc4yuhRAmfyxuMC7XH6tbk4XARCFElhAimTMsLrexvcGaJjlcfiw8auaafO6/ujsLb+2HySAiiotAWNc3BUeDoWV9MpOYMTwLgBnDs+iTmRT8jMDs1GPv5zNv7LF7+a4hXU84VCrUtiHcPpXnUNGc1GWLUkZ2pPxc5mxUz3l994LizOXx97/j+0MVPHV9b9IS40hLtNIhOZ60xPqLQ7QUYi7Rs6UlHUkE1W4fS27rDxCskOL2afh8GvPG5DAlJJHzmRt649UkKyYPoMzp4f0tP7Fs0gA0KfH4JPM/282uQgczhmeRkmChtc3M/Su3UuRwUeX2IQTMGnk+P5W6mFojQbR1vJkb5n0Z3Lbw1n64vFpYos28sTnMHNErrIJL97aJvDNtUJ0Jo063j98t3Uya3cqM4Vkk2cxUuX2k2i3cvngTfxt1Af9vxTdhbXnp0x/YfKAMqO0dCf1MTdOYNzYnKJ5W5R3g5TE5Ycmvr4y7kPatbcE22ixG3p42sFmrr6DbX2h87RjgUSHEa0A+kOUPB/hQCBGIy7UBqziD4nIbO6M+0vWmr9zK29MG4nRHFrmBsK7ArEufzCTuu6p70EMeGOjO+WgHmw+UBQeHH+cXMnNEr6Cd+eoQL/WJ6Prup4DnMPSaynOoOBXqq25Sly0WV7oj2mFgsNlYVTAa8mxRnFl88O1BFm3Yx6RfdObyHunRbk5UiDlRTgsTNyaDwGISVHu8GA0GDh51k5ZoZX9xFc+t3UVaooWFt/bjqNNDpcuL2WTg7qWbg+Jg7pgcZq7ZzsRLzmHU/A3B605ZlAfAiskDKHLoXmq71cTj7+fz8LXnBQU5HEsGfX1Cv7Bt+4qrmLF6W/hU/aK8Wp2twSDq7XwD4iRwfoD/TB9MkcPF4+9/FxTrEj3cYP2P+oRGXd6R0M9MS4wL67iTbeaIHXk0yyRJKR8BHqljt73GsU8DTzdxk2KSxvYG13W9wICsPnERmHWpmbcQSFKeMTyLmWvygwI9I9mGwWAI2llRheukRHRdthrwHNasRqE8h9HhdC/X15DqJpFsMZIdBu6BAI01gxPtflsROxwoqeL+VVvpnZnE9Kt6RLs5USPmRHlLEzdun8Yj7+bzws192F9SFVaqL9DRjXttIzNH9GLC618xNCs9KNLLqjy0tpm4/+oeHChxRhQAHZJtLJ7Yn6IKFz4pKapw460jjrvm8yTeYmwUgRRnjix+4szGYOc+ZVFe8KHQqU3CCXlHInXcqiM/PalLKPv8oVQnKnrMJkPE65lNhojiYt7YHJ79ZCcAc9ftZlZuNlaTIeJ90OOsRGaO6MWcj3ZQ5HDVEsiNLaKV5zB2iEa5vsYeBJzsrFRNOxRC8Mi724Izm6BmcBSNi8encdfyzSDh+Rv7YDGdzpHVp0bMifKWhkEIihwuNEmt+NMHVm1lwfiLuH/lVjq2iefT+y7jcLmLe9/cQpHDxazcbGauyWfypV1IT7Qyd0xOWEjKrNxs/vLedm4Z2DkoHGaO6IXJn1xaU6jUDAGscvsaZbo8NcEaUZyk2q2k2q0x59VWRI+UBEtYOFLAjpds2Mstg85BShm28NTxhInJIJg9MjtssDt7ZLZ/Ea3aIjfZZubuK7uTf7CCzQfKeGP9Hh669ryI94HNYqRXh9a8cHOfiCKpKUS0ujdig6ZauKS+BdoaexBwKrNSoXaoaTJ4z6gZHEVTMOfjHWzeX8aLN/elY0p8tJsTVZQob2KMAmblZqPVEX961Onh/qu7U1hRzfSVW1k19WKeHtUbnyY5dLSaogo3/2/FN8wYnsWqvAMsmzSAw+XVFFe6gzGv+QcrmDE8iymL8uiUmkBqvKWWgJ87Jger6ZhYz0i2cXZKfKN4+o4nTpTIUAQwGASpCZZgOFOZ08PqzT8xok+HsHyH0EWw6hMmTrePJz/cEXa9Jz/cwUtj+vJTaRU+KYkzG2nX2ha8RiShHnFQmXD8xCIlolsmTZF0W5/wPlIZeT2ImoOAE/GmN1aOgprBUTQl63YUMu+zH7m5f0d+ld0u2s2JOkqUNzEGg4E31u/h4RBvXJ/MJKYO7hJM1Jz90feMu7gTaXYrRQ53LW/4nI92kGQz83F+IQ8O68nIuV+GfUYgaS0j2cbh8mqsJgM92iby5pSL8fo0TEYD6XZdYNTsWDVNRjzuxL+nEieKhmEwGJi5Jj8oFuaNzakzpvt43kmLyUiRwxWWyzA0K52iClewnn1Nr2MkW1WiQxFKUyTd1uV9f/eOQVS5jj8IqE/UB64far+NGV6l+ndFU3C4vJp739xCj7MSechf/epMR4nyJiYlwcLvr+hGWZUnGM96y8DOtSo9dGxj4+lRvRn76sZa4mTmiF7BpDSfJhmalU5uTmbQM7gq7wBVbh+zcrOZ9cH3PHvjBZhMBton2Wq1p6bXZVeRQy1zrGhWaoqFmvX6A4PWrul2ZgzPQtO0iNfRNIlEsnhif/YcqeS5tbsocrh4cFhPxr228bhex1CU6FCE0hRJt3V5351uH3uOVB53EFCfqD9c7orYj6vBpiJW8WmS/7f8G6rcPl64uQ9xZpWjAEqUNzmB6foqjw+Xx8fD157HqPkbagnv1yf0o9jhithpd0yJZ9YH3zErN5sPvz3IHb/sGuYFfHlMDmYD/OHtbRQ5XJiMDUuSaKq4SYWiPiIlkoXOItUsTzhvbA5piXFhYiKS13DemBxS7RZ+Plrd6KEHijOLpgjZqDPJWUqeW7uLWbnZ4XY/JidsEFCfqK+vH1d9uSIWefHTH/jyx2KeHJnNuem1FmI/YzlzU1ybEZNRYDIYeGdTQZ2VUSqqPXWvRmk08OCwnqze/BMXnZNSa5n52xfnsa/ESZHDxdwxOaTbG9YJq8VKFNEi4JnukBzPWa3igouIRCpPOGVRXq0FeUqdLg4dreap63vrot1uZcriPHwSyqpOflXXxl5tVHH6EmqjjbFwSV2L5cSZ9RCsOR/t4Infns8n91zKoon9aonpulfgPPF6+QpFNPnfj8X87ZOdjLigPdfnZES7OTGF8pQ3Ay6vpLzaw5iLO4V5BQNkJNsorHAFS7SFektmj8ymuNLFS5/+wOPX9aLKrdVZvu3NKReTbrdiamA5IbVYiaK5qZmolmwzU+r00CrOFMxtOJ7A8Ho1Dpa5gjX2Q3MvfJqkTYK5VkWWeWNzjht6EI0yeIozh7q87wCvjLuQZ/61AyEE4xd8FdH+6gqpqaskrerHFbFISaWb3y//ho5t4nn8uvMRQvWtoShR3gx4fBrlTg9SwnvfFPDS6L5h4SezR2bz5Id6JZU5H+1g5oheZLaxsbuokic/1EsdPn/TBRwqd3OkjgVLTAYRMYa8PtRiJYpT5USqQdQUvUOz0rlrSLewxOalt/Wvs+54gEKHq9biWIHcC4OAR97N5/6ru7Po1n74pF7FKLUBoQcqnEvR1NSVu9C9bSKP/LpXsAIR1La/44l61Y8rYh0pJdPf2kJJpZu3pw3EblUStCbqF2kGTAaBECIoJEqrvCwYfxEWkwGfJql0eSlyuAAocrhItVuY/tZWAKYO7kKSzUxaYhw3zt9Amt1ay5v+8ui+2Cwn7hVRpa4Up8KJepZrit7cnMxa4vqx9/Nr1TGfPTIbR7WX1AR9cSFPHd70TqnxmI0Gihwubnrlf8F9Gck23pk26LjfR4VzKaKFwSCQDQhDqU/Uq35cEeu89sVe1n5fyMPXZtGrQ+toNycmUaK8idE0iRBwVqs40uzWYD3lH49U0irOxPSVW8O2V7l9BKJYH/51FqWVHkD3tqfZrUFveuD49kk2TAZIsp38KoLKC6g4UTRNcqi8mkqXlxnDs5i7bjebD5QFPXspCZZaHvSaouX9J7kAACAASURBVDfJZq4lQj7OL+TREb2YOaIX8RZjsO54kcMV9BiajZFX8ZRS98ScrNdQhXMpQjneLFBjr8B5Kvan+nFFrLO1oIwnPviOK7PaMn5gp2g3J2ZRoryJKa5081NpNRltbNx/dfdgnOvQrHT+cE3PWuXcZo/MJs5s4NER5+mCJyRuNjTMJbBs/fLJA0izxymviKLZiBSG8tQNvTnq9FBY4UIQ2YOeYreEiY5AYnOtahSaZMLrX9X63IDHMN1u5eUxOdweEvby0ui+rNi4j9suPfekvYYqnEsR4HizQE2Rf6DsT9FSqaj2cOeyzaTZrcwema3iyOtBifImRtM0zmptxeXRgoK8T2YStwzsHKxJHihr6Kg+5hVcPnlArSor01fqcbMTXv8qeE56goVSp0dNWyqajdAwlBtyMpg6uAtOjw+71YRBCCrdPv6x6UDYQlmVLi8pCZZgrf7cnMzgSrM1V549WFZdr8fQZDLQI93O8skDcHs1fJpk5df7+U3fzKD9n4zXUIVzKQIcL78gsD90lvPQ0WratrLSJuHkPNbK/hQtESklf3xHdy6umDyApHg1yKwPJcqbEE2THKl0E28xUuxwBzv4SGXfbl+cxxO/PZ/NB8oAvbB+pPjCc9IS+Pe9l2E16atv/nCkUlWLUDQrgTCUPplJjB5wNis27mNUv7MpqXRTXOnmxU93cdeQblx9fjuEENyxdHPQPl+9JScsuXPKLzqxbNIAvJqGxWhg4fo9bNxbVitvoqbH0Gw20r61LRg+cNul5zaKgFFhAAo4fn6B2+sjzW6tXVN/TA5JtpO3Q2V/ipbGiq8O8N6Wn5l+VXcu7NQm2s2JeVSd8iakuNLNlEV5aJr+OlBjNlIsbUGpk7NaxwG6V9BoEBFr0h4oqeKXT30GQFm1N6I3p2ZNZ4WiMbGYjMGQlRc/3cU12R0Y99pGHn//OyxGAw8M64nD5cXrA6dbFy+g2+fPZccqp/TJTOLS7m256ZUNXD7nM0bN38Cl3dsCBPMmVkwewIrJAyIONBu7jrRCEaCumuAWk9GfJyR49qYLaNsqjudv6hNWK1/1vwqFzs7DFTzy3nYuOTeV2y/rEu3mnBYoUd6EBLwtQsCqvAO8PCaHjGRbnYsEmQyGYM3lRev3MNd/fGD/U9f35qmPdwYfDqpahCIaJNvM3H91DyR6BZXfLd0U9BrOWL2NIU99xn1vbcFmMbLu+8NMHax3xn0yk8hsY4s4Y9QnM4kZw7Owmgw8OTIbgCmL8rj3rS1YTEYluBXNSl0L/STbzOw4XMEj727jQImT8Qs2ct1L65m5Jp/7rupOmt2q+l+FAt0h87slm7BbTTw9qrfqwxuICl9pQgLelkqXl8mXdqG1zcSc63vTsY2tVq3yl0f3Jc5sYPmk/jy39gfezCtgT3EVC2/thxCw90gVT3zwPUUOV/DhUOjQVLUIRbNT6vRQWukhOcFC13Q7BaVOZgzPqhWSNXVxHgtv7YdP01g8sR/tkvQKKUOz0vk4vzA4Y9QnM6lWGMCs3GzeWL+Hu6/srhLdFM1OXfHdgVjySPYeqJWv+l+FAh59bzu7Ch0smtiP9MS4aDfntEGJ8iYk4G05dLQau9WEUeix4o+8u51pl5/LnOt7k5ZoZX9xFQ+t3h6svnJd3w68mVfAx/mFTLzkHOItRtw+jT/9qiftk2yk263sKnLwzL92HDf2VqFobDRNI85sYPyCjTzx2/PJSLbVGZJVUe3FaBA8+Pa3YZVS4Fj1lUg5Fg+s2sqbUy7mrFaqspAiOtSM79Y0idvr46nre5Nit9SZ86P6X8WZzrtbfmb5Vwe4fXAXftE1LdrNOa1QorwJCXhb2rW2UlblpcqtBcVHUYWbJ0dmc8trG8M69+krt7Lo1n6A7vWucvsoc3qYsigPgC8euJxSpycYS15U4WbG8CxSEiy0T7IpEaNocnwSbl+yiVE5GXRMiWfZpP6AiDhrk5xgobC8mtkjs/FpErPRgMuj8dC15+HxaSy5rT8OlzesikWZ08PcdbuRUipbVsQENUsgLhh/UUR7V9aqONPZe6SSP779LX07JnHPld2i3ZzTDhVT3gyUVHqwmAQmowh24psPlFFS6Y7obfFJSUayjWdu6E2q3cLcdbsBIsaSB2qWj5z7pRIximbBYhQsntiP4Re05+eyaoor3cxcs51ZudlhMbgvje7LY2u28+ZXB2jbKo44sxGPT8NiEtw4X0/uHP33/5EYp8ccpiRYKHN6WJV3gPuv7n5Sq9QqFI2JpkmKKlwUlFVx6Gh1MGn5ubW7mD0y3N5n5Wbz2Pv5KtFTccbi9mrcuWwzBgHP3dQHs1FJzBNFecqbmDKnG5NR8FOpk+QEa4MWT7GZjSy5rT9Wk4GHVm9j84GysNCUQCUXFUuuaE40TVLhcnOw3BW2cM8zN/RmwqDO2K0mFoy/iCq3j1S7hUff205RhZvfXd6Vca8dq8k/e2Q2aXYrBaVO0uxWyqo8YfkVs3KzWfDFHh677vxof2XFGczxFsl6Z9NPLLq1H4UVLsqcHuZ8pC/s9vC1KtFTcWYy68Pv+fano8wbm0NGcny0m3NaooYxTYimSQ6WVePTJHe/uQWvT49HDHhXVuUd4KXRfcO8Lc/c0BuflLi9GlVuH5N+0YV19w3m7WkD6ZpmD9ZlXnpbf4ZmpQfPU7HkiqZE0yR7iyspd/qCghz0mZ2739xCtUfj2he+YMLrX+FweZFIiircTB3chd8tDV8Ea8EXe3hyZDYrJg/gyZHZvPDvXbXiyXNzMvF4tah9X4Wi5iJZgcFloNrKdX07cMThZtT8DUxZlBd0nphN6rGqOPNY+91hXv18D7dcfDZXnXdWtJtz2qI85U1IcaWbKYvzeH3CRRSUOrGYjPz7uwIWT+yPT5MYBFS5fSye2J/SKjeFFS7+75/f87cbL8AgYF9xFd3a2jEZBCaDYFeRI2yhoHljc5g5ohcGg0Gt/KZoUoor3ewrrqJTanzYSp1JNjMen0bn1ARWTB5AmdPDG+v3cP/VPblrSFfiLcaweHFNSgxCMOH1r8I840UV7uDCWQWlTlISLGrmRxFVQhfJmjq4S3C2B46tsLx88gCWTx7ALH9lrNkjszGpflhxhnHwqJN739pCVrtW/OGantFuzmmNEuVNSKBTP3S0mqFZ6dgsRm4e0InRf/9frdCTGcOzmLIoL+g1l8AH3x6kc+q57DlSSYdkW62FgqYsyuPtaQPVCnCKJsft1UNSzEYDQ7PSuWVg57CqP7NHZvPkhzsocriYlZuN1+ejU2o8Ryrc3H91d6av3BpMkJuxelstz3jA/kG/H9ITrWrmRxFVAiVtpw7uQkW1N2L+j8ur8drnP/KX3/TCUe3hyQ938MLNfSAhSo1WKJoZr0/j98u+we3VeOHmPsSZlTPlVFDzbE1IoFN/95ufuXNINx5evQ2vT0bs3JNs5qDX8PH38zlQ4mTY+e0QAhZ+uZfCclfE86pcPjRNNuO3UpyJBJIuK11eHhzWs1YJw+krtzJ1cJegyE6wmjEKQfukuKAgB4i3GCPacUCABxJE48yqa1JEl0BJ204p8SQnWCIu+La/uIpbBnbm+bU7Ka/2UuRwqRkexRnFc2t3sXFvCY9f14tz0uzRbs5pj3ryNSEpCRbmjc1h2PnteH7tTm4Z2Jn9JVURO/f0VlYWjL+IOR/t4OP8QuItRs5Oiefx9/MZd3GnOlcB3XOkUmX7K5ocrya5fckm9hZXUe05Nq0/b2wOKyYPYMbwLNq31heIKCh1cri8mktnr+Pg0eowEV6XHZ/VOo737ryEGcOzeHj1dvaXOJVdK6KKwSBo19qK1ydZ8uUeXrw5PP9nVm42z63dFcyBCIh4NcOjOFNY/8MRnv/0B0bmZHBdn4xoN6dFoER5E2IwCM5qbeWctARyczJ5YNVWPvj2IAtv7cfKqRczb2wOQ7PSmZWbzT0rtlBS6Q4mC1W59Qz+j/MLaZdkY23+YV4eHfmhoJZ1VjQ1Hq9GQamTnQfLaWUzMzQrnfuu6s7MNfmMmr+BmWvy0ST0yUwiI9kWFNSBSkEB5q7bHbGU3F/e287PZXpIVpHDFUxoViiiSaXLx7Nrd3Jp97a8+OkuZgzPYuXUi1kxeQBWk4EHh/VgxvAsMpJttE+y0b1tosrtUZwRHHG4+P2KbzgnNYG/jDgv2s1pMcRcTLkQog3wKjAUOAL8QUq5NMJxjwB/Alwhm7OllD82RzsbSrVb46jTQ0qChTS7lRF9OoSVh5s7JoeF6/dS5HAFvYjP3NCb5AQLbq8vOEU6JKstDpeXmSN6EW8xBktwqelSRXNgNhnISLZx9fnt8Pg0/vSrrLDciIJSJ79builon0988D2gi/DQVWeLHC7SEq088dvzMRsNYaXkJl5yTlCkv7F+D307ZkfzKysU+KQMOlQKSp18nF9In8yksDyJQD+ebrcqQa44I9A0yT1vbuGo08PCW/sRb4k5KXnaEou/5IuAG2gLXAC8L4TYIqXcHuHYFVLKMc3auhMkwWrEbLTg9EjuGtK1Vizu1MV5zLm+N6MHnI1BwMwRvchoE4+UEjAyKzebOR/t4MFhPXj18x+5a0g3pobUiFbTpYrmwGQQzB6ZTet4Ex6v5Igj8sJXHdvEB2d8QF/c6o31e1gw/iJKKt20T7JhNgoefPvbWsnO6a30Ki1vrN/D3Vd2V3atiDpxZiMpCZYwW506uEtYnkSgH39n2iCVdK84I5j/3x/5z84iZv6mFz3btYp2c1oUMRW+IoRIAHKBGVJKh5Tyc+BdYGx0W3byuH0Sjw8+/e5QsJxcKAWlTtq2imPHwaPBOs9VLh/VHo3SKg+b9pZQ5HCRkWzj8euy6dE2kXemDeKLBy7nnWmD1HSpollwun0cKK7kqNOLy6txqLw6Ymz4D0UO2tgtYeEptwzszP0rt3LvW1vw+jQeWr2t1uqfz954AXEmA73at+Lx67KVXStigtQEK+mJ1jBbT7KZI/bjKtyq+RFCtBFCvCOEqBRC7BNC3FzHcY8IITxCCEfI3znN3d6WwKb9pcz5aAfDep3FmP4do92cFkdMiXKgG+CTUu4M2bYFqCtg6VohRIkQYrsQ4vamb96JoWkSj1fDq0nObduKw+WuiEJm75FK+ndJ5YacDP/KnAbcXh9TFuUxLLs9r4y7kHatbaQlWjGZDKQlWumQHE9aopoujSVa8gPCYjLyi+7plPnrla/KO1BLWL94c19W5R3AKAQLxl/Ee3cMYtHEfsEwqxdv7stfP/iOj/MLmfPRjmB87hu39uOxNd9x/bwNWExGZdeKmMFgECTajGGLvFW5fRH7cRVGGBVCZ9ZHAy8LIerSCyuklPaQv5gKdT0dOOr0cOfSzZzVOo4ncrMRQvXTjU2sha/YgaM1th0FEiMc+yYwHzgM9AdWCSHKpJTLah4ohJgMTAbo2LH5RnbFlW48PonRIGifZOPeN7cwd0xOWPhJIDzlT7/qye2Xd2HcwE4IJCajgYJSJ2aj4JxU5TU8TWhRoVehJNvMHKqo5u43t5Bmt3LfVd15Y/0eZgzP0vMlEq0s3bCXCYM6c/eKb4ILqaQmWnl61AUI9PsgNyczuFBQoC75iskDguEuytuoaGo0TVJc6UbTNHyS4IJWRgEGg4Fkm5lSpwe314fFZMRogOR4M4sm9sMgBAYBz9zQm7vf3HJsIbcxOZiN+rVVX908hMys95JSOoDPhRCBmfUHo9q4FoiUkgdXbeVweTVvTb2Y1jZztJvUIok1Ue4AagYotQIqah4opcwPebteCPEsMBKoJcqllPPRBTwXXnhhsxX1DggMp8dLvNlEkcNFmwRzxGTN4ko36YlWkuJNaBJMBj2xzmw0qE7+NKClPyBKnO5gjf2CUidzPtrB1MFdaN86jqR4C1JKRvU7m7nrdgcF9vSVW1k8sR9jX93IzBG9mPD6V2ED0UCloTKnB1DexmjR0pLr60PTJDsOV/DMv3bUWgArkGB855BuPL92Jx/nFzI0Kz0sj+eTey5j/IKNYavUVrl9JNpMbN5/lLNax6nQq+ajrpn1y+o4/lohRAlwEHhBSvlyUzewJbH4f/v5YNsh/jCsB306Jke7OS2WWAtf2QmYhBBdQ7b1BiJ5GmsigZjqCS0mI0UVLhLjzBiNgiW39aPK7SPObODet7YwZVEeaYkWFt3aj7NaxWE0CP7yXj7lTi9Wswhm9CtOC5ok9EoIMVkI8bUQ4uuioqLGbO8JUe3xccRxLPxq84Ey5q7bTbXHx02vbOD3y79hX3EVUwd3YfHEfvTJTKKg1IkQghdv7sM5aQnBeuZvrN/D1MFdgiuBzl23WyUtR5czJgTgSKWLSQu/DquoAsdWls3NyeT2xXnk5mQCMGFQZ4oqXDx1fW/mjc3B69Nr9AdmekbN38CE17+i2OEm3mJk0sKvVX395uNEZ9Z7AmnAJOAhIcRNkS4aK31uLJH/czkz1+QzuHsak34R05GWpz0x5SmXUlYKId4G/iKEuA09BGAEMLDmsUKIEcB/gDLgIuAu4I/N2NzjkpJgodrjpdjh5r1vChhzcWcqXW7SW8WxdFJ/DEBplYexISUSXxrdFyFA0yAlQZ9GTUmwKM9L7NMkoVfRmuWpiVEI5v9nd1j41QPDeoSFs0TyOhoEGIQIlk8M7DsnNZ63pw3EZBC8cHMfLCajsvMo0NJneGoSWPiqrmTNwPYkm5k+mUnYrSamr9wUVvpwaFY6H+cXBs/LSLZRVuXB7dNUwmfz0qJm1mOVSpeXO5ZtIslm5qnre6s+uomJNU85wDTABhSi3zC3Sym3CyF+IYRwhBx3I/AD+g24EJglpXyj2VtbDwaDwGo28tzanVyT3YGbXtnAiBe/4JbXNnKgxMnBoy5uX7IpzFszzf9+1PwN/Hikij+9s5UdhyvQtDO+b4h1TugBIaX8WUrpk1KuBwIPiJhE0/R48Dt+2ZX3vilg8cT+rJx6MWe1itPLwQ3uEtHr+OCwnvxUVl3Lxh9YtRWJID0xjjYJKmk5yrSo5PrjYRQiGDIVKVkzsL3M6WHq4C61bHfq4jweHNYzLMF59shskhPMwRkfFYLVbLSomfVY5aHV29lzpJK/3XgBKWrmvsmJOVEupSyRUv5GSpkgpewYiG2UUv5XSmkPOe4mKWWKfwq1h5Tyuei1um48Xo3cnEx+t7S2MEm1W+r11gSmU9WU6GlBi31AFFe6cfs0EuOMjL64E4lxeoUUo0EXOHV5HY86PQj/65r79Dr8ihjgjAoBsFmMzB6ZHbF60NwxOWQk2Vgw/kLaxFvomm6v064DlYOWTRpAh2Qbj76bT5HDpUKwmhEpZSUQmFlPEEIMQp9ZX1TzWCHECCFEstDphz6zvrp5W3z68famAlZtKuDOX3ZlYJfUaDfnjCDmRHlLIzAtH6lz16BOb03gmIDgUVOisU1LfkC4vT58Psnhcje7CytxuHz+cJQqZo/MrrNEXGGFS5WPi32aZIZHSjlfSnmhlPLCtLS0Rm/0yZJks9ApNZ6Hrj2PLmkJLLlNn/WZMTyL59bupLzaA0Lwyn93s6vQUaddz123219dS8MgBHPH9FXrRkSHFjOzHmvsLnLw539so1/nNtz1y3Oj3ZwzBiXKm5hAubhInbtRCJ65oXeYt2ZWrp74FngfmE5VIua0oEU+ICwmI0ccbs5qZSXeotthQamTJz/cgc1ixG418XJIHeeMZBtPXd+bVXkHSLVbatn4vDE5ypsYO7TYGZ5I+HwaRxwe/vLedird+uBy5NwvmbIoj6IKN9UeDYvRwEPXnsfRSj3Bs2b/vDb/MPdd1Z2Za/L55VOfceP8DZRUqdyfaNDSZtZjhWqPjzuWbsZqMvDsjRdgMiqp2FzEVKJnS0TTJPEWA/PG5DAlpD75izf3pdLtJaNNPH8bdQFGg6C1zcwTH3wXLBX38ui+PP/vXWpK9DRBSlkC/CbC9v+ihwkE3kec8o9VAgnLILBbTRgNgqFZ6UwY1JnkeAtSgsEAb029mMJyFwlWEwlWI3/6VRZur4/W8WaWTxqA26dRWOGiXVKcEi8xQktLrq8PTZMcdrh4fu1OJl5yDi5/0idAn8ykWsnKL4/JITnexMwRvUiKN5MUb+av//wuYuWWSQu/5p1pg0hLVDG3itOf//vnd3x3sJxXb9EXLlQ0H0qUNzElVW4OlbtItVuYMTyL9ERrUHx/nF8YVrc5LdHCn4efx+2Dz6WsykNaopXHrjuf1ASVBKeIHoGE5XJ/WNWi9Xu476ruFDvcYVVV5o7JASROt5eyKjftWsdR4ZVMeD38mFZWtehEjDENeA19hqeYkBke4IMQj+ON/uOsQAExPsMTiqZJDpVX4/ZqjLu4E69+/iN/vCaLoVnp5OZk0iUtgQMlTtLs1mAt/tsX57F88gAmvP4VoAv3B4b1oF3ruIjhiCrEUNES+HDbQRZ+uY+Jl3RmSM+20W7OGYeak2hi3D6NF/69Cylh5pp8CitcjHttIx/nF9InM4kZw7OwmgzMvr4306/qzgtrd3Hnss2kJ1pJTbCSnqi8ioroIzWJ2WhgyuI8+nZK4afSaqav3FqrMkVinBmbxYjZKKj2aMHyiaHHlPrFvSI2aOkhAIEFg34uc2I0CM5OSeD+q3tQVuUOhqFc8fR/mLF6G/dd1Z0+mUmAbq8en2TZpP6smDyAqYO7MOuD79GkVHkSihZJQWkV96/cSnZGax64uke0m3NGokR5E2MQMPGSc3C4vDx1fe9g0mdgunTmmnxGzv2S8Qs2Uu3RuGPIuayaejHtkuIwmdR/jyI28EkoqnAFk4+T4iNXXCmpdHOgxElSvAWrSSiPoiLqFFe6mbTwazw+jSMOFze9soErnv4PdyzbTLHDTZq/zFug4tXUwV0AXWjvPVJJtUdj1PwNzFyTz/1Xd6fc6dErtYTEmqsQQ0WzomngOAxlB/R/Ne2UL+nxady1bDOahOdv6oNF6Y+ooH71pkbCq5//SCubGbvVSJsECxnJtoi1nW9fsgm3V+LRJEk21cErYgdNSoor3WQk29CkpLXNHNFbWFypr2zo9el2rDyKimjj9uqx4z5N8vvl34T1udNXHhPhgW1JftuelZvNc2t3hSU3T1+5FadHIz3RyjvTBvHFA5erqiuK5kXToDAf/n4F/K2X/m9h/ikL86f/tZNN+8v462/P5+yUhEZqrOJEUaK8iRECbhnYmcNHq3l27S7Kqz3MHpldZ5lEowCfWihIEWMYhAjWdhZCsGLjPubV8BYGKq5UuX2YjLpAealGVRblUVQ0NxaTkYxkG2ajoVafm2a30i3dzorJA5g3Vl+tMz3RyozhWcz5aAdFDlewRC3ofXTbVnG0ideraqmFrxTNTlURLL8Jyvbr78v26++rTn49gP/sLOLldbu5qV8m1/Zu30gNVZwMKtGzidEkPLBqK69PuIjcnEzuWLqZNLuVJ0fqC1eEPiQykm2YjAZ+KnNisxhJT4yLYssVimMIIblrSDfe+6aAmwZ0YnCPtoBk5ohexFuMVLl9xJkN3HdVd5xuH0KAkIL3t/zE8skDkBKsZoNKWlY0OykJFl4ZdyGHjlaH9bl9MpO4/+rujH1tY1jFleUb9zHvv3vJSLbx7I0X8Nia74LXyki2kWAxqtBCRfTwuo8J8gBl+/XtJ0FhRTX3vPkN3draeWh4XQv5KpoLJcqbGJ8m/R5wEfSOF5Q6uX/lVmblZtcqwRVnNjDrg+959qY+0W66QgGA16shJbSxm7n2ggz2FFXSKTWesa9urDWoXD55AA+s/JZnbryAZf/by696d8BuNZIUr0rFKaKDwSDo3jaR9FYW5o7JCSYf//GansFcnzKnh7nrdnP74jwWjL+IX/Y8iyq3j3at40hL1Gd2MpJtvDL2QlLVUuOKaGKyQFLHcGGe1FHffoL4NMndK77B4fKybNIAbBYVWhhtlChvYkxGAxnJNg6VV9O2VVzQU7P5QBlzPtrBzBG96NgmnjizgUff285D155HkcOFUTkTFTFCocPF/hIn6YlWnlu7kwmDOmMQkZM4vT5JWqIFi1Hwi27pPLx6Oy/c3Iek+Cg1XqFAF+bJNl1MvzV1AJqmV8ZyuLw88cH3FDlcwdK0JZVuRs3fAMDaey7jT7/KYuIl51Dl9tG2tZrpUUSZ+DS4bh68M0UX5kkd4cZl+vYT5OV1P/DFD8XMyj2frm0Tm6CxihNFzcE1MWajYO6YHBZ8sQe3zxcWY1vkcGG3GnG4PGhS8nF+IT5NMntkthqxKmIGj08jwWIkzmzgloGdmb5yK0UVrohJnIfKq7lzSDcsRgNPfbyTIodLJXYqoo7Xq/FTmRMDUOzwMGr+Bi6f81mwDGKa3coDq7Zy15CueHwa88bmsHLqxUj0RNEnPvieCa9/hdOtKgcpoozmgbUzIfc1+H/b4LZPID1LX8HtBPhqbwlP/2snv+7dnhsuzGyixipOFOUpb2KkBLMR/vSrLAwC2tgMLJ88AK8mEUBhuYt4i5Hn1/6gx5QbBGmJVlV9RREzmAyCBKsJgxC4vRpPXd8bowFeHt2X25dsCoZfPXV976DXcclt/bn/6u60bRWnEjsVUUXTJDsKK3j2k5386VdZtWrnP7BqKzOGZzFlUR6dUuNxeX08+Max1Zdnj8zmoWt7UlblxSclRRUuUhIsymOuiA4/bYL966GyEDIvOqlLlFa6uWvZZjLbxPP4db0QQtlyrKBEeRPj9mn8XOZi35EjXN7zLPaXOvH4NIQQtG0VR2qihZc/3c36H4uZOyYHq8lAW7VgkCJG0DSJxWTAYIAjDjczVm8LipUF4y9kxeQBFFa4KKxw8cQH37P5QBkAEpi+citvTxuobFkRVYor3UxZlMeM4VnBWvuhFJQ66ZKWwNCsdA6Xu3C6fbXKJi6bNIA7l20I2v4r4y5UZRAV0WHf54CAjhefeH9JjAAAIABJREFU1OlSSqav3MoRh4tVtw8kMU6tsBxLqPCVJsanSbq3s3NJt3R+LKrEp0mqPRpxZgN//Wc+Pg2mXNaFJbf1J72VhSSbRWX2K2KG4ko3FiP4NGp5GCe8/jU7Dzuo9viYu253UJBnJNsw+mPOPd5TX9RCoTgVAnXK0xOtwVr7oWQk2zhQ4uSOX3bl7byCYF3yAPqCV1qY7U9a+DXFlSdX7UKhOCX2fg5tz4P4Nid1+oIv9vLJd4d5cFhPsjOSGrlxilNFqb8mplWcEfyrIc5YvY1R8zcwY/U2TAYDj47oRZxJYLMYsFuNGA1CCXJFTOH2+qh0S8qdnogexrNT4qn2aPzxmp6ALnDmjsmhpNKlFgpSxAQWk5GhWemk2C3BWvuhtfNfvLkvz63dxbQlmxh2fjuqasSNZyTbOHhUrUyriAG8bjiwETpdclKnf1twlL9+8B1X9Ezn1kGdGrdtikbhpMNXhBDnAD4p5b5GbE+LwuvVqHJraFKfyg/1tExdnMfMEb2IMxtIS7SiSWjf2nacKyoUzYvZZMDn00iMM0esq7+r0MHMNfnMHZPDf+4fzO7CSlLtFh5avU0tFKSICVISLDzy6/Nw+zR+P6Qbz67dyYzhWaQkWEi1WymtcvHgsB6UOT2cm55AtUcL2npGso15Y3N49pOdYddUA05FVPh5M3iq4OxBJ3yqw+XlzmWbSLVbmT2yt4ojj1Ea7JYVQiwTQgz0v54AbAfyhRATm6pxpzuFDhdmo0AIyYzhWcFV4/pkJlFQ6iTeYmT6yq0cKHEiQMUnKmKOOLOgpMqDy+tjbo0VPGflZjN33e7gILPE4SY90YoAHrvufBVzq4gJDAaBJmFPURUpdjMPDutJj7MSkRIOl1dz57JvGDV/AzPX5HPU6aXK7WXxxP58Nn0wb08bSPf0RO6+srtamVYRffZ9rv/bQFGuaXpi8k+lVeT/XE5yvIVnb+xDsrLdmOVEPOVDgFv8r+8BrgDKgH8ArzZyu1oEHp+GURgoqfQwc01+0PMyKzebN9bvocwfEhBvMeLTZLSbq1CEoWmS0kovz36yk99d3pU2CWbmXN+bdq3j+P5QBXM+2hGMIy8odZIUb8FiEmhS0i5RzfooYgOvV0PTJO1aWzni8PDc2p1Mu/xcUuwWxr22sdYM5gs39UEI6NDaFgwn7N42kXemDcLt9WExGVX1FUV02PuFXv4wIeW4h2qaZMfhCiYt/DqoPZ67sQ8XZKo48ljmRAKYLVJKtxCiA9BGSvmFlHI70LaJ2nbaYzEa8GiSaf6ycXCsBNeffpXF3HW7yUi2UeX2qQ5eEXMUV7opqnCRm5PJP7f+hNlowG41cfBoNTPX5AcFOejeQyH0Ep8+Nb5UxAiaJtlbUonRILDHmZm6OI/Jl3bhjqWbOVpHnkRyggWryRDWJxv8pWo7JMeTlqgWEFI0M5oGFYfg0vvg2mf198ehuNIdFOSg2/ZdyzerBOUY50RE+TdCiD8AM4D3AfwCvbwpGtYSsJgEPk1G7Ph9mqTI4WL2yGw6JMdhMaoET0Vs4fb6KK50k53Ripsv7oTD5SPBYiQz2caS2/qFTefPHpmNxWRACLCZlS0rYoMypxu3T8NsFIDk+ZsuIMVuoaDUSWEdC2AZDQKHy6vEiyI20DQozIdXr4QFw2DVRP39/2/vzuOjrO7Fj3++z2yZbCSEACogqIAEBSVgEbtgabVesbQFFzbFVgGpV9taq7ctV1tu+6trb21FllZZ3am11Vq9RWnrgkpEXKJAkVUFQiAhk2W25/z+eGaGhEwkQJKZTL7v12teME+eSc5DDjPf55zv+Z4jBObxqkON6QLl9Hc0n57fAc4E/MBPY8fOBVa2daMyhfNhYCV94/e6LR65djQnF2WT5XHRPVtzvFR68bpdhMJh3JZFdV2YGQ+9wfn3/IPLF63lYH2E+6eczWMzRzN3fAl3/m0j4ahNrs9NYbYv1U1XCnBSV8IRG2Ngf22YqroI2/bVOVWC1mxpVonlgWmlVNeF8bgsBJ3yUWmgrgIenQxVO5znVTuc53UVn/kyr9vVQuyhC5TTWauDcmPMFmPMFGPMVcaYvbFjTxpjbmm/5nVutu0slFs4vekCufuuOJv/fHg9UWNwiXBivl9LIaq0083norR/D2zbUBkIcc+lw1k4vZTiXB/XrXyLbK+byxetZdbyMioCQdyWk96iU/sqXYRsQyhiiMbSCHvkevG4hKXfPocbxg3k6fUfM2/CGbz0w7H86ltn8tvVmzhQ56RtBbXGvkoHkdChgDyuaodz/DN8uLu62U2nLlBOf61e6ClO/ZxrgCuAYmPMMBH5ItDbGPN4ezWwM4saZ6Mgn9ti3oQzyPa6YvnjUJznxSXOojgNyFU6qmqI4LZgb03TnTzvmDiMu5/fiNvlBN/x9JVw1CaiZbZUGonahpOL/NSGohTn+jDArX98N9GXH5hWSkMoitcl3PPCJtbvrGLmF0+lstapJKRUyrm8UNCvaWBe0A/cLQfXOyrrmLNiPRed2Zs/XjeGcNTWBcqdxNFEgz/HSWFZDPSLHdsF6Eh5C7I8zsZBMx56k6uXvMnli9Zy9ZI3uf7h9dx60RAO1IUw6H8QlZ5CUZtw1DTbyfOWVe9ww7iBeF1Wk/SVqrowWZpPrtKEbRs8Lotw1LBtXx23XVLSbNH9dSvKKM7z8bO/vM/ssafSp9BP9xxnkyG3rvNRqWbbEKyBCfOdQBycP694BLKLk74kFLG5/pG3EIH//PJAeuZn6QLlTuRo3nVmAOONMY9CItluK3BKWzcqk4SiyRd6uiwh2+uiZ66Oxqj0ZAlEWlio3L9HNi5LWFW2K5G+UpjtoUeO9meVevFycJctfI1w1PDcu59SmONN2peNMbxQvpfe+VksmFbKY29s54Zxg/S9WaVeXQWs+Casvh0u/CXMeBYuvgfyeoOVPHy7828f8s6uau6cNIy+3bM7tr3quB1NnXIXEIj9PR6U5zY6pg4TidpEbJN0J0S3Jfg9Hk1dUWlMcFsk7b/VdWG21dVx7RdP4dWPKlk4rZQTu/l1JEalhcbl4Dwu4aIzT8A2yd+LLUu4oKQn3XOcfPMrxwygV16Wvjer1Ivnk1ftgMemHTr+vfeSnv7ih3v4/ctbmT76ZL52xgkd1EjVlo7mXeevwL0i4oNEjvk84C9t2SAR6S4iT4lIrYhsF5EpLZwnInKHiFTGHndKmu0bG7ENBtNsscUdE4chAsbo6n6Vzgy5PqvZTp53TRoGAvet3pyoIjS4V54GMSptNC0HZ+hXlM3u6gbmTx3R7L34F8+W8+P/KEEEdu53XqN9WaUFt/dQ2kpcC/nku6sbuOnxDQw5IZ+fXDykgxqo2trRjJT/AFgGVAMenBHyFzi0y2dbuR8I4WxKdBbwrIhsiG1U1NhM4BvAcJyR+/8DPgIWtHF7jlmez4UxsPTVrcwdX0KB30NVfZilr27ltkuGYmnOokpTtm3I8lhU1UfZWnGQx2eOJmwbLBH2BRr42Z/LYxVXREcVVdqJl4MrzvURseHTqnqWvbaNueNLmrwXx3elvfWiIXgsC69b8Hu1ZNzx+t73vsfUqVMZNWpUqpvSufmL4PIVzih51Y4W88mjtuHGR9cTjNj8bsrZzno21Sm1Oig3xhwEviEiPYGTgZ3GmN1t2RgRyQEmAmcYYwLAyyLyZ2A6cOthp18F3GOM2RV77T3AtaRJUN7QEKE2ZPOLZ8u5aswAbln1TmLF/8Jppfi9FgV+LU2k0lNtKEhNQxQRGFCcz2WL1japvlKc5+Xn3ziDHJ+lAblKO0U5XpZcPYqKmiC2MSx7bRv/+eWBfFzl7EZ7eArL9so6BvfOI8fn1vflNmCMYcKECeTk5DBlyhSmTJnC4MGDU92szsW2oeJDWHOHk0+eUwy5vaBb32b55Pet3szrW/dzz6XDObU4N0UNVm2h1Z+mIrIewBiz1xjzZjwgF5F1bdieQUDUGLOp0bENwNAk5w6Nfe1I5yEiM0VknYisq6j47IL7baWyPkQ4avNC+V7ufn4jc8eXJCpVFOZ4yPN6NP9Wpa3aoEEELJGk1Vduu2QovfN95GfpYjiVfixL8Htc3PzkO9SFonz3/NPolu2hT2FWs3SsOyYO477Vm4lEbfp3z9H35Tbwm9/8hl27djF//nx27tzJ6NGjKS0t5d5770110zqP+KZBG591RsofvBCWfR3qK5uc9tqWSn774ma+NeIkJpb2SVFjVVs5miGu0w4/EMvhbsvqK7k46TGNVQN5rTi3GshNlldujFlkjBlpjBlZXJy8jFBbEwFB6FPoZ/3OKmYtL+PyRWuZ90w5xoBHp5dUGjPGUFMfYXd1Q9KKFWHb4HGhAYxKW1HbMOaUInJ8LiwRpix+nc/fsYb6UJR5E85IDJLc/fxGKgJBsjwunfVpQ5Zl8dWvfpUHH3yQ9957j6KiIm6++eZUN6vz+IxNgyIRm0+q6tleWUtxnpfZXzqFeRPOSE07VZs64juQiCwTkWWAN/73Rsf+ARye6308AkD+YcfygZpWnJsPBEwarJ6MxLZ1/uVfy5st8lwwrZRsn77xZ6JMWqRsDMxaUUZlbSjpVs1Zbotcr07zq/QUr1E+80unsrWijusa1Sf/5V8/IMtjcdMTGxLlPBdOK6WHlkBsU4FAgBUrVnDxxRczaNAg3G43S5cuTXWzOo8WFnkal5cPY+U+v3TXGmY89CYXnXkiPl2jlhFak1O+pYW/G+AV4Ik2bM8mwC0iA40xm2PHhpM88H8/9rU3jnBeh6uLhIjaTu3bippQk4VFRbkeQpFUt1C1k4xYpGzbJlGffMGaLdwxcVizNRGWiI4qqrRVWRvCEvC4nP0gGs/2rN9ZxZ1/28ijM0cTitgYINtj6axPG7r00kt57rnnGDFiBJMnT2bp0qX06NEj1c3qXLKLYdKD8OS3myzy3Gfymb3itWabYD0+61xOLPAf4ZuqdHfEoNwY8zMAEVlrjHm+PRtjjKkVkT8CPxeRa3ACmwnAmCSnLwN+ICJ/xQlsbgJ+257ta41QKEKgwcYVq307sbRvIiBfVbaTM04cis+rb/6ZJpMWKVfVBxE5lHoVXxNRlOOld7cs8rIscjw6Sq7SVygSxeMWXJZQF4o2q09eEQhiiVAbjPDbFzfzP984M4WtzTwjR47knnvuoV+/fkc+WSVnWVD+F7j4Xig+3Rk5zy6m7kB90pTCSNROUUNVW2r1UJcx5nkROV9EHhSR52N/frkd2jQH8AN7gUeA64wx74vIF0Sk8UZFC3FqpL8LvAc8GzuWMpGIzd7aELYxiAj/9R9D8LosfvXch8x7ppzrvzwQn9uiPhRNZTNV+2iXRcqpUB+y2V3dwF2ThiUC83nPlJPlcZHttfCJW0fJVVrze11EIoblr27lpMKsRF+GQ2mEbgt+++JmvveVQZq60sZuueUWDciPl23D+mVQ/ico6OtUXrEsPJYkTSl0a/pKRmh1ScTYyPUvgd8DrwP9gIdFZK4xZnFbNcgYsx9nav/w4//CWdwZf26AH8UeaaEiEESAqvoIs5aXNSkhd/fzG5mz8i0enTkan1sXeWagNlmkfPiaCBGZiZPu0iEfcsFgBI9L6J7rJcvjbAxUVR9mX02QLI9FJGLIyjma7Q2U6njhiCFsGxb+axu5Pg+TRvXl0ZmjicZyzZe+8hHTxwzgtkuG4ve6NHVFpZ+95VB/AE7+fOKQMYbVH+5h/tQRzImtk4jfZPbUG8uMcDSfrj8CvmqMSYzwichjwCqgzYLyzszgxFPxgBwOlZCbO76EWcvLsG1DUY5O/WegdlmkbIxZBCwCGDlyZLsvYm6wI1Q3RNi1v55sr8uZ+u/up2eej1yfm3yfp72boNRxcdZE2PjcFo/OHE1xno8PP63hvtWbqQgEWTCtlEtH9cNtCQa0LrlKT9tfcf7sf17i0MrXdzD36XL+cFUpj886l0jUxu2y6Jnr09nLDHE0QXkRUH7YsY1A97ZrTucVidjUhaK4LStpvtdpPXO5oKQnbkt0VCYzdfpFypGITUPIsK8myNyn30uMwtw1aRgDeuSQ5RGysnSUXKW3qvoQ9eEo9WGbHz6xodmM5ewVZTw2czQel9Aty6vvxyo9bfuXs7gzVoHlg08P8vNnyvnioGLOH9xL+22GOppbq1eAe0UkGxIL2+4CXm2PhnUmtm349GADO/fXU1WXvITcjso6bhg3CLdL/yNlImNMLRBfpJwjIufhLFJenuT0+CLlk0TkRJxFyks6rLFJ2LahJhQibBtufvKdJjM9Nz/5DhHbUB/WhUQq/TWEogQaIlyXZNOr2WNPZdeBeqK2Ic+rayNUmrJt2P4q9P8CAHWhCNc//Bbd/B7uvWy4BuQZ7GjekWYBZwIHRWQPUIUzwjerPRrWmRxsCOGy4IyT8sjJcjN/6oikO8bNXlFGOJryMuqq/XTaRcqBYJDKQJhorBRiY7sO1GPbBgv9IFCdgEBBjjdpPy7we+hT6MfrtvB6ddZHpamKD6GuErvfGCpqgmypqOVHXzudxVdqPf1MdzTvSrfg5JV/ApwIfBIv6daV2bZhXyCEMQa/x81df/uQn00YyiPXjuaTqnqq6sPc/fxG1u+sApxd5lRm6qyLlG3bEIpArs9NxDbNysf1KfQjIoS176pOwBjAkLQf14WiLJxeSlG25pGrNBbLJ/8o5yxmzH8lkYK1+MqRzgCJjpRnrKMZKRfgT8BLwMVAdru0qJOprA2xLxBi14EGRGDO+adRURPi33sDiR3j4gF5n0I/bv3PpNJMTUOQsG0TtQ0//8v73HfF2c3Kx+06UIed+s1yVTvIpJ1oQ6EIUdsgQrMyiA9MHUHJCXn0zvfh8WgFLJXGtv2LaF4fZjy1p0kK1rXL1lFZG0px41R7avVIuTHmRhH5PjAOmAy8LiIfASuNMfe2VwPTXSgSpUeul5qGCD63RY9cH1csWktxri/pTog5Ps1hVOlnfyBMfThKRU0Iy4J5E85IVF/J8lj85e09fOeLp6a6map9ZMROtABB23kfDts2PXK9Tfpx1BiixlDo1QpCKo0ZA9teoaHfWHa93dDkS7sO1BOK6D4nmeyokuqMMTbOG/H/ichc4CGcxZ5dNii3RPC6LXp381EbjmKM8x9n14H6xE6IBX4PJ8VGyWuDNt10jkGliYaGCFX1UX6zehM3X3g6914+nOl/eKPZtP/Kaz5HjxzNZcw0mbQTLUA4ClFjCEcNllj075GN2xK2V9Yx/6V/8/MJZ2guuUpr9t4Pser2UX/SufTZ3jwFy6v7nGS0oxq2FZFcEZkmIs/ilICL4LxRd0l2bJrU73HhsSwwTnH/+JTp+p1VzFpexk1PbEAAlwURzctVacK2DZX1IRrCUeacfxqVtSEsEZZ/+xweufZznN23AHBuMgU0jzEzZcxOtA0NEQLBKPsCIab/4Q3G3fsPpv/hDXZXN+Bzu7jxK4P0xjLDZFLqFTjvyXveXQ3A3PUFzVKwFl85Uvc5yXBHs6PnE8BFwFs4lSWuMsbsa6+GdQb7aoNEbJtA0CYYtpm1ooziXB93TRqWKCsXz8m1jSFia41ylT72BYJEbUO+38PB+nCTms53TRrGbV8v4Wd/LqciEMSjWzhnqozYiRagNhLBGBI7HYJzQ/n9xzfw6MzR5PosLYGYeTIm9QqcNWrvv/YcxnTnuU+y2P23jcybcAan9szF73FRlKN19TPd0bxDrQNKjDFfNMY80NUDcoCGcBSPZeFxWcyK1cRdv7OKdVv388i1o/nHzWN5dOZoPC6YvPh1KgMhzSlXaSEcjhK1bbLcFrZt+P7jG5rVJj9QG+aGcQNZOK2ULK9+EGSodtuJ1hgz0hgzsri4uM0a25L4KHlFTbDFkp65Xh1hzCSNUq/mGmMCxpiXgXjq1eESqVfGmI+Be4AZHdbYVgqGIwyPvMvr9hBAWL+ziquXvIlLoDjPpwF5F9DqCNEYc4cxZkd7Nqazyfa42BcINfkguKy0D186vSeTF6/lS3et4YpFawlFDGNOKYrVKU9xo1WXF4nYHAyG8XstGqI2toF7Lh3OwumlTVJWsr0u+hVl0z3HQ7csnfbPUImdaBsdO9JOtEc6r0PZtqGiLkQgGKGb38OTs89t0pf7FPrxuHSUPAO1S+qViMwUkXUisq6ioqLNGtsaNR9/QLFUx4Jyh+aRdy264uU4hKKGWSvKmDu+JFET99ovnsLVS95sMup43cq3eGjGKB4v20U4orsiqtSxbcPeQJAcn1AXMlTVhRPT/Y23Iq8IBKkLOQuXRTTtKlMZY2pFJL4T7TU4KQATgDFJTo/vRPtXnBSAm4DfdlhjW7C/Nuis14kaZi1/s0lfXvrqVm4cN4j8LO2/GahdUq+MMYuARQAjR45s90Vgtm2orA1xsD6Md5ezQfq23LOhWvPIuyINyo+RbRvCUZtdB+pZXb6H+VNHMGflW7gsSTp96rJE73hVStm2YeOeGl7fUsG4khOA5vm3t6x6h3kTzqBHrhev2yLLY5EkO0FlljnAgzg70VbSaCda4DljTHzjq4XAKTg70QL8nhTvRGvbBoNTRe67Dzfvy4/OHE2W28Ln1qAmA7VL6lVHikRsNu6tYdZyJ/11cc4LnJzdi/tmTyQcNXjdmkfe1WhQfowO1AcTgfa4kl787sXNzB1fgt/r4qEZo8j2uqiqD7NgzRYqAkFsAwunleodr0qZytoQ1y5bx8PXjiYctXG3cAPZr3s2XrdwsCGCJYJLPxAyWmfdiRagNuQstg9HTfJccmMQ0NSVzJRIvTLGbI4dO1Lq1RtHOK/D2Lbhk+r6REAOhmGRd3mJMzlLLE4q1JTBrkiD8mMQidgcqA2T63OxYFopDeEoL5TvpaImxNzxJcx9+r0mVSx65Pno5ncT9lp6x6tSJhSJJgKV/Cw3taFo0q3IRWB/bYjuOV7Sr2iYUo5wOEp9GEIRQ1VdKGlfdolQF45SlMJ2qvbR2VOvKmtD7G20Hq2/7KaXVPFSwyBKdIOgLkuHD47B3kCQnfvr2VsTIt/vpiDbS59CPzddMIgbHl3frIqF3+OiIWwjaISjUsfjthKBSjBi84tny7ljYtM6uAunlbJgzRa++/B69hwMEorYhKO6DkKlnwP1YUIRm0Awgt/ralbT+deXDcdtCW5LP+Yy2BzAj5N69QiNUq9EJNDovIXAX3BSr94DniXFqVehSJTK2lCiz462PgBgW+5ZmubahelI+TEIR50tnAECDRGWvLKN+VNHkOtzJ51CjcY2DKoNRbFto6PlqsPZtiHQEGHhtBH43EJ92G4yu1Pg91BVH6ZbtpvNewOJfuyyBBN7vfZblS7C4SgNkSgYyPW5+aiiloJsDw/NGEVD2NlAKGIbQlGbE/L9qW6uaiedOfXKsoRVZTu5Y+Iwbln1Dp8LfEAlBfzkyq9rmmsXpkMIx8DjsvB73fz2xc0U5nj55oiTAPDGRiIb61Pox2UJbkuY8dCb7KsNpqLJqourrA3xz417yM3yEAhGccfWQ8R3nb180VrmPVPO5j21zB57Kn0K/U5dXHHq8VfWhlJ9CUolHAyFyfK48Lgs7NhavZ//pZyrl7xJXSjKfas343FZWCKaT67SjjGGJS9v5aoxA1j66lbmXjyEi/M+Iuu0LzC4V74OgHRh+m51DPxeJ8ieWNqXUMTmoVe2UpjtxW1JsynUuyYNw20JlgXFuT6CYU0FUB1PMIwc0IOpv3+dmx7fgMdtsWBaaZO+esfEYdy3ejNFOV4WTCvF6xYwTmWLkOY4qjQRDEaojW0UdOnC1zj/7n8w9+n3+OGFgynO9XHTExu47ZISuud40dhGpaOlr25j4b+2sq+mgV98cxjDcw7grfsU/6CxehPZxWn6yjFoCNv43Ba987OwBK4aM4B5z7zP1ecNoEeuN1FSzu9147KcqX+3W7hh3ED9kFApEYzYzI7tOnvXpGHUh6KEo1HmTTgjUSkoXp+8m9+DbQyRKLgsqAtFKcjW6VSVerZt2F8fBmhUteJQCcS540uYtbyMwhwvL32wmwuGnpDK5irVzHsfV/PLv37IuNN78vWzTkJEYHMZAFb/z6e4dSrVNCg/BhZC0LYpyPbgdVm4LOGWi4awo7KOxf/cyrRzT0ZEmPHQG4kqLAumlTLkhDyt+axSImI7JePO7luQyMFdu6WCS87qkwjW46Pldz3/If99yVC8bqGmPkpBtkdzHFVaOFAfBDEY48w8Nl4PsWDNFgr8HvoU+rGN4fwhvfF5dNRRpY9AMML1D79F9xwvd1063AnIAba9DNk9oHhwahuoUk6D8mMQsQ1b9tayfV8NIwf04MGXP2JiaV+KcrxcN/ZUXC5hyuLXm4zizF5RxmMzR2v9FZUS8Rzy2WNP5bqVbzHmlCKmnXsy963exNzxJRTleOme4+WxN7Zz1ZgB1AYjGOPG67bonefTHEeVHowzKOJzCz/62mBufvKdJuVnLXFSCHdXN9Cn0E8kqoMgKj0YY/jpU++yY38dj1w7mu7xgQ5jYPsr0P88tAat0mGEo2TbhqhtyPa6+MLgXty3elMsfaWcSQteY/qDbxC1k29kEbENosGNSoFsn8WSq0dxanEuuw7UM66kF3NWvsUL5XtZsGYLlbUh9teGmHruAP65cQ/bKuswxpCfZeHxaHkulXqRiI2IE7fYtkkE5HCo/GyPPK+zgdsrW3FbFpaWQ1Rp4omyXfzp7U+4cdwgPndKrHK+bUP1TvjmAvjCD53nqkvTkfKjYNuGbZW1gJNn6xJnsectq5p+OGzbV5d8IwtLd0dUqZHjdvNJJEhNQ4Q+hX4K/J5EOssPLxyc6MN9Cv3MnzqCZzd8zOm98wiGdaRRpYeKQBCfRxL7Q7RUfnb+S//mxnGDcFlo2pVKC//eW8NtT7/PuacUcf2XT3MO2jbsLYdHJ0PVDijoB1c/UTBQAAAgAElEQVQ8Aj1LQG8muyz9zR+FfbVBtlfW8avnPqAwx4PbJRTleJt9ONy3ejMPTB3RbFMWv8eiR45unas6XmVdmN/8fRNZHou7Jg2jLrab5+yxpza7qZyz8i0uP+dkfvFsOSFbg3KVepGI7axxaIhy3+pNuERaLD/7k4tL6JnvI2KjaVcqZWzbUFETZNeBOj6uauCc/oX87xVnHRqYq6s4FJCD8+ejk53jqstKq5FyEekO/AG4ANgH/Jcx5uEWzr0d+AnQuPD3MGPMR+3VvmDYWfT2QvlevnJ6T/oO7cWJBVk8NGNUooLFgjVbqAgEaQjbiVzdolwvOT43luiHhOp4dmwTlYmlfbn+4fUU5/r40dcG88DUEQQjdtIRx+r6MC+U7+WnF5ekqNVKOWzbUFkbJGobbGP4r4uGYBvD/KkjmLPyrSaL6bM8rkTFqxyfjjmp1LBtw8Y9NVy7bF2TGcji3EaDcpHQoYA8rmqHc1x1WWkVlAP3AyGgF3AW8KyIbDDGvN/C+Y8ZY6Z1RMNs22AbyMtyVvd/YXBPdlc1YBDmPv1ek8VGuT43gWCEAr+HmoYI4ahNz7wssjwW3fy6M6LqWJW1IWxjErM6uw7UM3nx65zdt4C7LxueNNVqb02QPoV+PC4NbFTqxIObgmxnZvJAXZRZsWpBF5T0ZNm3z6G6PszemiBz//QeFYEgj88aTbbXIs+nqSsqNSprQ4mAHA7NQD415zyK82KBucvrpKw0DswL+oFb+21XljafuCKSA0wE5hpjAsaYl4E/A9NT2zJHZW2IXzxbjs8t/G7K2di2IdvnZvaKMopzfSycXso9lw6nIWwTsW0mL36dyxet5eolb8Z2lnOqtujOiKqjhSJRqupCFOf5mkz5D+yZS9S2m214dc+lw1lVtpOF00qbjuwo1cHiwY3bEiJRkwjIAV4o38uvnvuAHrk+Ti3O4aYLBlGc6yMcq7iigx8qVUKRaNIZyMQmbLYNwRqYMN8JxOFQTnl2cQe3VqWTdBopHwREjTGbGh3bAHzpM15ziYjsBz4FfmeMeaC9GheKRHmhfC/XjT2VSNRw+aK13HPpcIpzfc0Wyi2YVsplpX14vGwXfQr9dM/xsi8Qone3LN0ZUXW4+Hbj+X4XK6/5HIFghCyPC7clfFRRy3u7qnhoxihcljizQT4X/33JUPxeSwMblVK2bfOrb51JMGI3q2p1dt8CrhozgMmL1ybee3992XCy3BYNukBZpZDbZSWdgfS6Y5Ws6ipgxTchtydc+EvwF0K4DvJ66yLPLi6dfvu5QPVhx6qBvBbOfxwYAhQD1wL/LSKTk50oIjNFZJ2IrKuoOLZFFF63K7aQyOL7j29g14F6qurD3DBuYLOFcrNXlDF77KlcUNKT+VNHEI5GKczxUBeKHPpPqVQHsG1DOGpz/0v/5pMDQX7xbDmBhgh3PPcBH+6uoWe+j/OH9OLqJW/y5Xv+wYyH3qAiEMLrEt7ZeVBndlTK2LZhX22IW//4Lh8fqG+2uDPZIuXvP76BqG7QplLsr+9+yh0Tm85ALr5y5KFqQPF88l3r4LFpsORiWHkphOs/47uqrqDDgnIRWSMipoXHy0AAyD/sZflATbLvZ4wpN8Z8YoyJGmNeBX4DTGrh3EXGmJHGmJHFxcc2NVSU42XxlSPpFislB7BgzRZOLspOOk21vzbEbZcMpXe3LIIRQ67PTbbXrSW6VIeqrA0RjDiLPGetKOPKc/vzh5c/StTWj99EHn5TGY46tfh1ZkelSmVtiFnLyxIDIC4XzG9U1SpZ5atdB+r5pKqBiFYNUiny0sa9/Owv5by7q4qn5pzHK7ecz1NzzmNwr7xDM49u76G0lTjNJ1d0YFBujBlrjJEWHp8HNgFuERnY6GXDgZYWeTb7EdB+G2ZaljC4Vx4eV9PRGquF0lyVtSEawjY7Kuu47en3CUVssn2aDqA6lm3bCIcCmN7dsprU1i9odJMZF9/oqi4U1ZkdlTKN83IXrNkCsZ08l337HFb/4EsUZHtbfO+1NShXKbC7uoGbHt/A6b3zmHHeAIrzfJxUmE3x4bsiZxfDpUs0n1w1kzbpK8aYWuCPwM9FJEdEzgMmAMuTnS8iE0SkUBznADcAT7d3O12xbZzjNZ5/+ddyFkwrbTJNdcfEYawq24kl8L3H3uaGcQOxjaEhpLt1qY4VNfD/nvuA7jlOAOOSprX1q+rDSQMbtyX07e7XmR2VMvGUQYD1O6vYFwjxh39tA8DtErK9Fr+OVQ8CEut5VpXtxKe70KoOFrUN33tsPfWhKL+bMoKsz+qDlgVb1sDX7oTvvQfX/F03DVJAei30BJgDPAjsBSqB6+LlEEXkC8Bzxpjc2LlXxM71AbuAO4wxS9uzcZW1IRoiNnf+bSNzx5cwsGcuL5Tv5b8uOp2Hr/0c4YjBEtgXCPHDCwdzsCHMrgP1DCjOobYhQnFeuv1zq0xnjOGF8r0U+L0snF7KvkCIolxvYhHSgjVbuGPisCYLlR+YOkI/G1TKFeU4fTaewuKx4JsjTuLKB99I9NUHZ4zksZmjicRqmO+rCXHjVwZp1SDV4X774mbWfrSfuy8dzmk9c4/8grdXQo9BMOXR9m+c6jTS6qPXGLPfGPMNY0yOMaZf442DjDH/ahSQY4yZbIwpMsbkGmNON8bc197tC0WiuCyhIhBk1vIyNu8NcEFJT7K8LvZUN3DVQ29w/j3/4PuPv011XRjbmMTo5G9Wb6IiENRp1QwkIt1F5CkRqRWR7SIy5TPOvV1EwiISaPQ4pb3aFh9t3Lw3QEG2m77d/bhdksjNXb+ziqWvbmX5t8/h6e+ex2MzR1O2rZJ3dh1kxkNv6kJPlTKWJfTI8bLiO5/j1VvPJ8fn4eYnmy7s/PaSdew8UI8lgssSIrZN92yPpgmqDrX2o0ruW72Zb519EpNK+xz5BTW7Yf8W6H9e+zdOdSppFZSnO6/bhTEmka6yYM0Wbr1oCJEoiYoscKgKQEG2l7smDWN3dYOz0G55mQY5manxpldTgQdEZOhnnP9Y7GYy/mi3XWiLcrwsnFbKj/9jCDsq65m04DVufORtuud4WP7tc/j7D77Ilef25wePb2DC/a8QjNhccMYJLFizpWldXaVSIGoMeX4XxkDETr77rAChiI1tG25+8h2iOu6hOlBlIMiNj67n5KIcfv6NM1r3om0vO3/2/3z7NUx1SppPcRQK/R4+DkXI97t5aMYoQlEbv9dFqIWtygXhzr9t5NaLTufEAr8GORmo0aZXZxhjAsDLIhLf9OrWlDYOZ7SxOM9HKGpzxaK1iR093/+kJlF9Ja5PoZ/tlXUMjE29Nqmrq1QKZHksPq12Zibnji9JWvu5LhTl0+p6Tir0s+TqUeT4dKxJdQzbNvzwiQ0cqA3z4IxR5PpaGVJtexl8+dB7WPs2UHU6+u51FA7Uh3FZQlVdmPpwFJ/bYtu+Wj6tbki6WO5gQ5iKQBADFGZ7uKCkpwY5maelTa8+a6T8EhHZLyLvi8h17ds8J6/88I1XFqzZwgONysvFFyjft3ozwYjNLRed3rSurlIp0BCyEznl8fUPjfuss+g+i2WvbWPbvjp8bhe7q7X6imo/tm2oqAny8YE6Pvj0IFV1YX5y8RCGntit9d9k+yvQbzRYGg+opnSk/CiEIk4gLiLsqwlSCcx9+j3umjSMuyYNS+Q7xj8sCrM93D/lbIrzfByoC/Of4wZR6Pek+jJU2zqWTa8WAXuAzwGrRKTKGPNIspNFZCYwE6Bfv37JTjkiy7KwxDQZZVy/s4qGsM28CWeQ7XVRVR/m7uc3UhEIxkYds+lb4NfcXJVS4UY3k+t3VnH3884i+8G98zC2YV8gRFVdhBvGDWLun97jrkuHce2ydTw15zyK83Sxp2pbtm3YuKeGa5eta7SL7FmM6FfQ+m9Sswf2bYKzp7VfQ1WnpSPlR8HrdlJVrltRRrbXRbbXxa7YIqN4RZbHZo5m7vgS7vzbRvYcDFLTECEcdT5YrltRxoH6cKovQx2FsWPHIiLNHkBpe296FTv/uDe+KvR78LoOlfI8u28BD80YRY88L/17ZPOHlz9i1vIyKgJB7rl0eGzUsVb7qko5l9V0H4j1O6uY90w5G3fXMP3BN8jyuDipMIvyj6uoCASpqgtrmqBqN5W1oURADvH1Y2+zv+4o3iu3v+L8ebLmk6vmdKS8lWzb4LIgEhu5sY2hOC+LJ2efSze/h+I8L7OWlyXO71Pop5vfg9/rwmUJq8v36IdFJ7RmzZqkx0WkzBjz+VhOuVtEBhpjNse+nDabXtm2YXNFgNpghKfe+pgnZ59LRU2Q61a+lRjpmT91BLd/fSjvfnyQP7z8Ed/5/Cn86rkP+d2Us9urWUq1SpbHajYLuXBaKd1zPDw2czRuS6gLRSjO93P/lLOpC0V1LYRqN403tIo76s/17a+ANxdOGN7GrVOZQEfKWyE+ZfX1372CyxIuKOmJJcKMh95g0oLXuHrJm1z/5YFcUNITOJSfe9fzH2IM/P39TxlX0ks/LDJQum96FR/ZccVqPNeHo4mAHJwPlDkr3yJqw5kn5XPLRUNYVbaLikAQj1vfHlTq2LbBtg3FeT7mTTiDx2aOZt6EM7CNYX9tmAN1YSYueI3z7/knc59+j4awTb7fo2shVLtpvKFVXKs/120bAntg2GUw+VEQfX9VzWmvaIV4YDPmlCK8LotbLxrCTU9saBbY3HbJUJ7+7nnMHV/C3c9v5IXyvcxeUcZpvfITpen0wyIjzQH8OJtePcJhm16JSKDRuVcA/8ZJb1lGO296FR/Z6eb3OuXiDlvwCfGRHpt3Pz7IVQ++wTdHnMSDM0YSaIjogjmVMpW1IUJRmwK/h5OLsnFZgscleN2Cz+OiIRxl7vgSzu5bwK4D9dz0xAYK/B4G98rTtRCqXRTleFl85cgmi41bdRNo27C3HH7/FfjDBfD0HOe5rbt8q6Y0KG+FeGDz3S+fhm0MIiQNbCK2YffBBhas2cL6nVWJ4ycW+OmVn0WvfJ9+WGSgdN70qvHITnGuDxFJOtLzaXU9PfN87DpQz81PvoPP7eLKB9/QuvoqZZzN2izqQlFuenwDlbUhTuuZg8floqouRGVtiFVlO/nhhYMTgTmg77Gq3ViWMLhXHk/NOY9Xbjmfp+ac17qbwLoKeHQyVO1wnlftcJ7XVbR/o1WnokF5K8QDG0uEhrBNZSCUNLD5cLdT+zn+IRE/7nVbrC7/FL0nVh0tPrLjdgk/+tpg7njug2Zl5eZPHUFhjpeiXF8iuAlHbV0DoVLK73VRGQhhgIpAkAVrtrAvEObKB520wXnPlHPVmAEsfXUrs8eequmBqkPE9344qTCb4rxWDrRFQocC8riqHc5xpRrRhZ6tEA9sorHFnp5YJYvGi4/umDiMu5/fyK4D9dyy6h3mji9h3jPlPDB1BJ9WNTBqQA98bh3BUR0rPrKzp6Yh0V8rakLMHV9C7/wsCrI9/OLZcl4o35vox0tf3cruWO19DXJUqkRsw32rN/GTi0v49WXDCQSjzF5R1iRtMP5eq+mBKq2JQEG/poF5QT/nuFKN6Eh5K8QDG5/HojIQ4rsPr0+UQHzxpi8lcsgbp6yc3juPx2edS/ccL8FIlN+s3sTB+qjm6KoOZduGA/VBGsKHqgas31nFrOVl7D7YwNTfv84L5XuBQ0HOTy4uYdlr23TBnEopYxuuGjOAh9duo2d+FgN65CRNGyzK8dK7WxbFeV5NXVHpSVzw9d85gTg4f379d85xpRrRoLyVLEvolZdFt2wPuw7UJwKbzXsDzHumPBGQg5MS8FFFLbYxXP/wem7947tcNWYAYDRHV3WYeNWgd3YeZNu+umYpV0U53qRBjgC/mjhMF8yplIoaWPrqVr44uBdTf/86G/fUJE0bLM7zsfzVrUQ0P1ClK8uC1xfChb+EGc86f76+0DmuVCPaI46S39O0JNJnbVe+u7qBH144mOJcH7esegcQzdFVHSZeNSjb6+K+1Zub5ZIX5/mSBjlbKmrZczCYiiYrlRC1bSaW9uWWVU7a1YI1W5r14funjMDrFi4d1Y+eubqDp0pT/iL40s3w/I9hycXOn+f/GLKPbUM4lbk0p7yV4qOOgmHhtFJmxXIbKwJBinK9Sbcrr6wNMe+ZcuaOL2HW8jIitiHXp//kqmPEqwZV1YepCAS5+/mNLP/2OeytCVJVH+b+F//NHROHJYKexmsjKgJB3apcpZQlkpjNObtvAbPHnkp+lpuHZozC7RI27Qlw/0ubmXzOyQzslauzOio92TZUfAj/uMsZIc8phtxe0K2vjpSrZjRCbKXK2hC//r+N3HbJUDxuYeU1n6OiJkg4ahNoiNC/RzbVdWFO753HPZcNx+Oy+NNbu9h1oJ4Cv4c+hX48LtEcXdVh4uUP4yOMt6x6h02xdKt42srmvQGWf+cc9h4MJm4o46lYOqujUkkEuud4uaCkJ1eNGcAtq96hONfHDeMG0r9HNt38Huacfxo/+3M5P7l4CD63S28iVfppXA5x47POsYJ+cM3fneBcqUb0Nq2VbNvmO58/hcsXreWcX7yIJXBiQRYnFvg52BBh054A89f8m0+q6rnp8Q1MXryWL53ek1lf6E9dKModE4fhEq2hqzqOS+B/Lz8rMUo+b8IZnHlSPgumlSZSACoCQYyBm57YwKzlZYmAXCuvdA0i0l1EnhKRWhHZLiJTPuPc20UkLCKBRo9T2rF1PPbGdn78HyWJgPyHFw5m7tPvcf7d/+CHT2wgGLYpzvM6Gw3pTaRKR1oOUR0FDcpbKRoLXOJTqW6XcKA2zNTfv96kZu5Drzg1c+O7fE4fM4CCbDdLX92KQQNy1XEsy8IYuPvS4dx92XBO65lL1IZ8v5u540t4bOZo5o4vSZqrq5VXuoz7gRDQC5gKPCAiQz/j/MdiG1/FHx+1V8N65vq45Kw+VNeH2XWgntljT02kWgGJXTxvvWgIq8p26k2kSk9u76GqK3EF/ZzjSh1G01dayRiTCMh/PmEooYhJ5JXH8x19boubLzydhrAzYrPrQD1R2xCJwn+OG0SPbE+Kr0J1JUU5XmqDEcbevQaAs/sW8L9XnIUl0iSFBaCqPsSjM0cTitj43BYndPPrrE6GE5EcYCJwhjEmALwsIn8GpgO3prRxgNttcXqsxn6fQj8Ffk/SakEN4Sjf/+pgvYlU6Sm7GL7xAPzpOmeEvKAfXPGILvJUSelIeSvFd/W86YJB7AuEiNqHgvQfXjiYec+UM2nBa1y95E1s4wRAfQr9GOPsTPfM27vYXRPUOuWqw1iWkO07VC1o/c4qvvfo27hdcNekpiPjV583gGisb3rdLg3Iu4ZBQNQYs6nRsQ3AZ42UXyIi+0XkfRG5rqWTRGSmiKwTkXUVFZ+9lbhtGypqgnx8oI6Kw94j3bEbxMVXjqQuFE1aLaib36PlO1X6Ch6Ev98Gly6F773n5JL3LNFFniopHSlvpaIcL4uml+J1u6gMBPG4LPoU+pNOqX734bdYcvU52MYm2+diXyDIpJH9qAlGqKwN6WIk1WF65PhYOL2UWcsPVQsyQHGeL1ExqC4UpSjXy8NrtzF9zAAdcew6coHqw45VA3ktnP84sAjYA3wOWCUiVcaYRw4/0RizKHYuI0eObHEkIl7V6tpl6xIVgBZfOTIRZNu2s7dD92wPeVkuHpg6gutWvtWkWpDbEg3IVfra8RrsWgfhOijom+rWqDSnt2qtZNsGr9siy2NRF4ridgl3TRrW4gYsVXUhghFDKBLlF89+wNVL3iQSNdi27nChOo5lCYN75vHwNZ/jydnnsvzb5/C/L2wmP8vNaT1zE7XKV63bydjTe+HRACdjjB07FhFp8gBKRcSIyMtAAMg/7GX5QE2y72eMKTfGfGKMiRpjXgV+A0w6njbGa+k3HtS4dtk6KmtDiYD9m/NfYVtlHe9/UsNvX9zcZD3E0le3YumIo0pn214Glw9OGpnqlqhOQN/NWqkiEGTGQ28StQ3dczwIkO11UZDtTUypnt23gIXTS3ly9rl083v47epNbN5Tm9hA6LsPv0VUs1dUB3O7LfoUZnNKcQ5et8Vlo/qyaU+A2lCY7ZV17K8NMfrUYrK9LjxufUvIFGvWrMEY0+QBlBljxBjzeWAT4BaRgY1eNhx4v5U/wsDxrV6P19JvrDjX5xyvqmN3dQPFuT6q6sOsKtvJVWMGMO+Zci5ftJZ5z5Rz41cG6cyOSm/bX4E+I8GTleqWqE5A01daKRS12XWgnte37GPMwGKCEZvb/1zOj742mAemjuC3L25O1NJtPLWan+XmupVvJTYQin0wKtXh9hwMNkkTuOfS4eT63HTP9VJREyQvy0OBXwOcrsIYUysifwR+LiLXAGcBE4Axyc4XkQnAP4EqYBRwA/Dj42lDfK1OPDA/u28BP/raYC5ftLbJ++jT6z/mqjEDWPrqVuaOL6Eox0vPPB8n6oJklc4aquHTDfDFm1PdEtVJ6LBYK7ks4fbxpzPkxAKuWLSWUMSmIhBk8uLX+e+n3+en44c2yy2/ZdU7ZHlcTTYQik0hK9WhkqUJ3PTEBnp3y6IhHKVf92z6F+VogNP1zAH8wF7gEeA6Y8z7ACLyBREJNDr3CuDfOOkty4A7jDFLj+eHF+V4WXzlyMRs4w3jBnLzk83fR8eV9OLu5zcy+ZyTGXJCPicX5dCnMBu3zux0WeldYz9mx+tgbDj5vHb/USoz6Eh5K/m9Fl8ZegJXLFpLca4P29gsnFbKb1ZvYmJpX6K2nTS3PBCM0KfQT10oyvypI3BpzKNSIFmawK4D9YSiNj996j1+N+VsDci7IGPMfuAbLXztXziLQePPJ7f1z7csYXCvPJ6acx6hSJRorPRsY/FBjYpAkN7dsuhToKPjCmhaY/8s4FkR2RC/qUziMWPMtA5rHcC2f4HLC31GdeiPVZ1X2gwziMj1sRJaQRFZ0orzvy8iu0WkWkQeFJF2LWkSjYIx8MDUEfxq4pnsrw3z57d38d3zBzLvmXJ2Vzfw0IxRPDZzNAunlyZKIlbVhVkwrZQhJ+ThEtFFSSol4mkCjfUp9LOjso4bxg3UjVdUyliWUJzn46TCbPwed9J+2qfQz5+vP4+iXC+fVtc3K52oupZGNfbnGmMCxpiXgXiN/fSx/RU4qRS82aluieok0ilC/AT4H+DBI50oIhfibG4xDugPnAL8rL0aZtuGvTVBJi9eSyAYwWVZFOf5mD5mAN99+C2Kc31YIsx9+r3EAqQffW0wS64eRVGul3y/m2DEpijXq4uSVEoU5XhZOK20SW3y+6eM4Ll3P2VAjxztlyotHJ7OEi+R2Csviz0Hg3xr/qucd8dLfHP+K2zcU6OBedeVFjX2P1OwBj55W1NX1FFJm6DcGPNHY8yfgMpWnH4V8AdjzPvGmAPAPGBGe7WtsjbE7BVlFOf6yPW5eeLN7dSFouyubkhs/3zTExua5EHe/OQ7uCynDJnXZfHw2m0EI7Z+iKiUsCzhpMIsln37HJ6cfS5zx5dw/0ub+eaIk8jz62ZBKj00Tmd55ZbzeWrOeQzulceB+nCLpRNVl3QsNfaHAMXAtcB/i0jSdCxjzCJjzEhjzMji4mPcddO24eCncNWfYfgVznOlWiFtgvKjNBTnrjhuA9BLRIra44fF83Fnjz2V61a+xaSR/Ziz8i0qa0Ofuf2zMXDdijLqQlFG9C+ioibI3kCwPZqo1BGFooYrH3yDSQteY9byMl4o38vNT75DVD8vVBppnM5SnOfDsqTlNRGRaIpaqdpTZ6ix3yLbhr3lsHIiLLkYVnzLea6BuWqFzhqUH36XHP970rvk452OiufjxoNvlyXsOlDPgjVbuGPisBa3f47azqKl6vowRTleKmtDRDQCUikSjiRfjByOaJ9U6a2lNRG6FiIzdYYa+y2qq4BHJ0PVDud51Q7ned1xpMKoLqNDgnIRWRO7w032ePkYvuXhd8nxv7d0l3xc01HxPMd48B21DX0K/azfWcXdz28ky2PxwNQRTfIgH5g6gsX//Cix2LM4z8eqsp24XZ31Pkh1dhrYqM6qpVxzXQvRNRljaoF4jf0cETkPp8b+8mTni8gEESkUxzk4NfafbpfGRUKHAvK4qh3OcaWOoENKIhpjxrbxt3wf56748djz4cAeY0xr8tGPWjzPsWe+s1juyXU7mD91BHNWvsX6nVXc/OQ7LLnaqbwSsQ1R27BgzRZe/aiSX182nMIcLy99sJsbxg2iZ267FolRqkXxwKbxBkIa2KjO4PDSiV63i6Icr66F6Nrm4BSG2IuzFq1JjX3gOWNMvKTnFbFzfcAu2qDGfovcXijo1zQwL+jnHFfqCNKmTrmIuHHa4wJcIpIFRIwxkSSnLwOWiMhK4FPgp8CS9myfZQlFOVkU+n30yDsVwSSCcLcl+NwWdeEoWW6LiG24/sunceNXBuKxBAQuOONEeub6dLMLlTIa2KjOLJ5rrhSkvsZ+i7KL4YpHDqWwFPRznmcf46JR1aWkTVCOE1jf1uj5NJwyh7eLSD+gHCgxxuwwxvxNRO4EXsLZjW7VYa9tN5Yl9MrP6ogfpVSb08BGKaXakWVBzxK45u9Oyorb6wTkukeJaoW0CcqNMbcDt7fwtR00uuuNHbsXuLfdG6aUUkop1VqWBbm9Ut0K1QnprZtSSimllFIppkG5UkoppZRSKaZBuVJKKaWUUikmsaL8XYaIVADbU/CjewD7UvBzO0ImXxskv76TjTEdupw+RX23K/5uM8nh19dV+i10vd9tptG+m7ky+fqOK17ockF5qojIOmPMyFS3oz1k8rVB5l/fZ8n0a9fry1yZfu16fZkr0689k6/veK9N01eUUkoppZRKMQ3KlVJKKaWUSjENyjvOolQ3oB1l8rVB5l/fZ8n0a9fry1yZfu16fZkr0689k6/vuK5Nc/ZcYaoAAAYLSURBVMqVUkoppZRKMR0pV0oppZRSKsU0KFdKKaWUUirFNChvIyLSXUSeEpFaEdkuIlNaOE9E5A4RqYw97hQR6ej2Hq2juL7bRSQsIoFGj1M6ur1HQ0SuF5F1IhIUkSVHOPf7IrJbRKpF5EER8XVQM9uN9t3Eedp3OxHtt4nzOl2/Be272nc7Z99t736rQXnbuR8IAb2AqcADIjI0yXkzgW8Aw4FhwHhgVkc18ji09voAHjPG5DZ6fNRhrTw2nwD/Azz4WSeJyIXArcA4oD9wCvCz9m5cB9C+e4j23c5D++0hna3fgvZd7buOztZ327ffGmP0cZwPIAenAw5qdGw58Ksk574KzGz0/DvA2lRfQxte3+3AilS3+Riv83+AJZ/x9YeBXzZ6Pg7Ynep2d+DvVvtumj66Wt/Vftvk3E7bb2Pt176rfTfl7T6G62yXfqsj5W1jEBA1xmxqdGwDkOzOcGjsa0c6L50czfUBXCIi+0XkfRG5rv2b12GS/e56iUhRitrTFrTvNqV9t3PQfttUpvZb0L6rfbdzOqZ+q0F528gFqg87Vg3kteLcaiA3zfPEjub6HgeGAMXAtcB/i8jk9m1eh0n2u4Pk/w6dhfbdQ7Tvdh7abw/J5H4L2ne173ZOx9RvNShvGwEg/7Bj+UBNK87NBwImNr+Rplp9fcaYcmPMJ8aYqDHmVeA3wKQOaGNHSPa7g+S/585C+26M9t1ORfttTIb3W9C+q323czqmfqtBedvYBLhFZGCjY8OB95Oc+37sa0c6L50czfUdzgDpfFd/NJL97vYYYypT1J62oH23Zdp305f225ZlUr8F7bvadzunY+u3qU6Wz5QH8CjwCM4ih/NwpiqGJjlvNvABcBJwYuwXNzvV7W/D65sAFOL8xzoH+Bi4KtXtP8K1uYEs4P/hLEjJAtxJzvsasBsoiV3jiyRZvNLZHtp3E+dp3+1ED+23ifM6Xb+NtVv7rvbdTtd327vfpvwCM+UBdAf+BNQCO4ApseNfwJluip8nwJ3A/tjjTkBS3f42vL5HgEqcqZsPgRtS3fZWXNvtOHfojR+3A/1i19Gv0bk/APYAB4GHAF+q29+Bv1vtu2n26Mp9V/tt5+23sXZr39W+2+n6bnv3W4m9UCmllFJKKZUimlOulFJKKaVUimlQrpRSSimlVIppUK6UUkoppVSKaVCulFJKKaVUimlQrpRSSimlVIppUK6UUkoppVSKaVCuEJEfi8jvY3/vLyJGRNyx58+JyFWpbaFSzWm/VZ2V9l2lVDJap7yLEZGxwApjTJ8Wvt4f2Ap4jDGRw742A7jGGPP59m2lUk1pv1WdlfZdpVRr6Ui5UkoppZRSKaZBeQaKTYWe1uj5EhH5HxHJAZ4DThSRQOxxoojcLiIrWvhea0TkGhEZAiwAzo29rkpERonInvi0a+z8iSLydntfo8o82m9VZ6V9V3UlLfX3VLYpU2hQ3oUYY2qBi4BPjDG5sccnrXztB8Bs4LXY6wqMMW8ClcBXG506DVje1m1XXZf2W9VZad9VSh0NDcrV8VqK86GAiHQHLgQeTmmLlDoy7beqs9K+q1SGch/5FKU+0wrgAxHJBS4D/mWM+TTFbVLqSLTfqs5K+65SGUpHyjNTHZDd6HnvRn8/nnI7zV5rjPkYeA34JjAdnUZVx077reqstO+qruSz+rs6DhqUZ6a3gSki4hKRrwFfavS1PUCRiHQ7hu+7B+gjIt7Dji8DfgScCTx1LA1WCu23qvPSvqu6ks/q7+o4aFCemW4ELgGqgKnAn+JfMMZ8CDwCfBRbzX/iUXzfF4H3gd0isq/R8aeAk4GnYgublDoW2m9VZ6V9V3UlLfZ3dXx08yDVJkRkCzDLGPP3VLdFqdbSfqs6K+27SmUeHSlXx01EJuLkPr6Y6rYo1Vrab1VnpX1Xqcyk1VfUcRGRNUAJMN0YY6e4OUq1ivZb1Vlp31Uqc2n6ilJKKaWUUimm6StKKaWUUkqlmAblSimllFJKpZgG5UoppZRSSqWYBuVKKaWUUkqlmAblSimllFJKpZgG5UoppZRSSqXY/wdo083vjrPPvAAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "mQV2 = pd.read_csv('u-vs-v-mQV-2-issues.csv')\n", + "mQV5 = pd.read_csv('u-vs-v-mQV-5-issues.csv')\n", + "mQV10 = pd.read_csv('u-vs-v-mQV-10-issues.csv')\n", + "\n", + "mQV2voters = pd.read_csv('u-vs-v-mQV-2-individuals.csv')\n", + "mQV2voters['high-u?'] = mQV2voters['color'] > 0\n", + "\n", + "f, axes = plt.subplots(1, 4, figsize=(12, 3), sharex=True)\n", + "\n", + "sns.scatterplot(x=\"u\", y=\"v\", data = mQV2, ax=axes[0])\n", + "sns.scatterplot(x=\"u\", y=\"v\", data = mQV5, ax=axes[1])\n", + "sns.scatterplot(x=\"u\", y=\"v\", data = mQV10, ax=axes[2])\n", + "sns.lineplot(x=\"u\", y=\"v\", hue='high-u?', marker='o', data = mQV2voters, ax=axes[3])\n", + "\n", + "for i in range(3):\n", + " axes[i].set_ylabel('')\n", + " axes[i].set_xlabel('utility')\n", + "axes[0].set_ylabel('votes')\n", + "\n", + "axes[0].set_title('a) mQV - 2 issues', fontsize=12)\n", + "axes[1].set_title('b) mQV - 5 issues', fontsize=12)\n", + "axes[2].set_title('c) mQV - 10 issues', fontsize=12)\n", + "axes[3].set_title('d) mQV - 2 voters', fontsize=12)\n", + "axes[3].get_legend().remove()\n", + "\n", + "plt.savefig('figures/mQV-u-vs-v.png', bbox_inches='tight', dpi=300)\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Beta Distribution" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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DMiItimVi3E7GDEpi1S7j14gkVpXGfcByoAW43HdsFrA6FEIZQs+einpKqhttH5/RnvE5qfxz2S48LV5cEe7NcrRiNbjrWXTJv2yl1Ee+w0vRxXgMfZBvg7r6hhPUz/icFOqbW9hk2jVGDMuqWilVBySIyBBfIlsCYGqE9lFWFlUQ43YwcmBipEUJiAltgrwMkcHqlOtsEdmDTlLb2mYxndf6KCt3lXNcVkrE2y8GSnZqLBkJUUZpRBCr35hH0X6N+HZJa84QymYIEY2eFtbtqepz/gzQ7RrHDU5lpXGGRgyrSiMVeEIp1aPSSSISLSJPi0ihiFSLyEoRObsn9zL0nnV7q2hq8fZJpQHar7G9pJaKuqZIi3JUYlVpPA18rxfPcQG7gJOBZOC/gFdFJK8X9zT0kL7qBPXjV3YmDyUyWFUaJwBzRWSziHzZdrFysVKqVil1j1Jqp1LKq5R6F9gBTOyp4Iaes7KonMzkGAYkxURalB5xfHYKDoGVpl1jRLAap/F3gpjpKiIDgBHAug4+mwPMAcjJyQnWIw1tWFlUwfjcvmllAMRHuxg5MMlYGhHCktIIZpariLiBF4F5SqmNHTzrSXwFiydNmmRq1geZ/VUN7Kmo58YZ+ZEWpVdMyElh/qq9eL3K9mn9RxpWp1xFRG72Zbau8R07SUQuC+RhIuIAngeagNsCltbQa1b4TPoJfdQJ6mdCTirVjR62HKiJtChHHVZ9GvcCN6EtAP+YYTfwS6sPEhFBO1QHABcrpZoDkNMQJFYUlRPlcnBMZnKkRekVE3JNu8ZIYVVp3ACcp5R6hW/L/u1AtzGwylxgNHB+T6duDb1neWE5x2YlE+XqW0Fd7clLjyMtPorlxhkadqx+c5yA3w70K42ENse6RERygR8A44BiEanxLVcHIqyhdzR6Wli7p4qJfdgJ6kdEGD84xVgaEcCq0ngf+LOIREPrUOM+4B0rFyulCpVSopSKUUoltFle7JnYhp7gD+rq6/4MPxNyU02QVwSwqjTuBDKBSnRwVg2QSwA+DUPk+dYJ2vctDWgT5GXyUMKK1dT4KqXURWhFcQIwVCn1HaWUyU/uQ6wsqiArJZb+fTSoqz3HZ6fgdIgZooSZrvqedKRQSnxL6+dKKW9oRDMEE6UUBYVlTM1Pj7QoQSM+2sWogYkU7DRKI5x0ZWl40HVAu1sMfYDd5fXsr2pkUt6RMTTxMyk3lVW7KmhuMe+ucNGV0shHT6kOAW4HvgBmo6dNZwOfYQK0+gz+qclJuWkRliS4TMpLo765hQ37TLvGcNFVs6RC/7aI3AlMUkr5PU6bRaQAKEDHXxhsTkFhGYnRrj5Xqas7/JZTwc5yjss+MmaF7I7V2ZNkDi/tF+c7bugDFOwsZ1yOdhweSQxKjiUrJdYEeYURq1mu84CPReSv6LoYg4Ef+44bbE5VQzOb9ldz9thBkRYlJEzMTWXpjlKUUugQIkMosao0foGuCXo5Ol5jH/A34KkQyWUIIisKy1GKI84J6mdSXirzV+9ld3k9g9NMretQYzU13gs87lsMfYzlheU4HdJn2i8Gij8svqCwzCiNMNC3s5YMlijYWc7oQYnER1s1LPsWowYmkRDtYpmJ1wgLRmkc4TR5vKwoKmdK3pET1NUep0OYmJvKsh1l3Z9s6DVGaRzhfLOngkaPlyn5IY7PaPFAQxXUlEB1MVTt1evag9BYA96WkD5+Sn4aWw7UUFrTGNLnGCz6NEQkXSlVGmphDMFnqe/t22Ol4fVC1R4o3QrlO6GiyKcQ9mmFUFcKDZXgsVAiJSoBYpIhLg3i+0FiJiRlQmoupOZB+nBI6A89mAE5YYj++ZbtLGf2WNNRPpRYHeTuEpGP0KX65iulTC5yH2Hp9jJGDEggLT6q+5M9jVC8FvaugH2rYf86KNkIzXXfnuNw6X/2xIH6Hz1rglYE0UkQFQfOaHA4QRygvNrC8NRDUx00VkNDhVY0NQfgwEaoKdbn+YlJhv5jYMAxMOh4yJwA/Ufre3bBsVkpRLscLN1RapRGiLGqNHKBK9Gp8E+KyL+A55RSi0ImmaHXeFq8LC8s56LxmR2f0FQHRV/BzkVQuBj2roQWn3kflw4DxsKE66HfCEgfBqn52jLo5h84IFqaoXIXlO3Q1kzJJjiwHta8Cst8BfCjEiB7EuTOgLwZkDURXIcqwSiXgwk5qXxt/Bohx+qUawnwMPCwiIwErgWeFxEFvAA83Tbs3GAPNuyrpqbRw5S2ma2l22DT+7DlI60wWpq09ZA5HqbcDIOn6Ld7cnaPhgkB43RD2hC9DJv17XGvF8q2a6tn11IoWgKf/Q5QWonknwTDz4ARs7UiQw/BHv50C1UNzSTFuEMv+1FKT+bgBvqWJGAFkAWsFJGHlFIPBFM4Q+9YukO7oaYnFMOnz8D6t+HgJv1hv9EwZQ4MPRUGnwDRCRGUtAMcDsgYppfjfEXv68qg8D+w7VPY+rFWftyhLY8xF3JSv5P5PwXLd5Zz6qj+ERX/SEaU6r61iIgcA1wDXI2u2jUPeEEptcf3eR6wRimVFEzhJk2apAoKCoJ5y6OHyj28Me/PjCv/kCGqSPsYck+EUefByLO187Evo5T2t2x8Dza+q4dWwArvcEqGXMhZl92qHa6GHiEiy5VSkzr8zKLSKAVeRvsxvu7knHuVUv/dK0nbYZRGgLQ067fv8nmobZ8iKHbEHUv+KdfDmIsgoV+kJQwd5YWw7g0KP3+WXM9OcEbBqHNh4g2Qd5K2XAyW6UppWB2efEcpdVjfVhGZ4lciwVYYhgCoLoaCZ2D5M1CzH5KyODD+x1y6JI+7LjqL/HFZkZYw9KTmwow7eL3+XD757CPemFZI9PpXYd2bkDZU+2vGXaVnZwy9wqr6fbeT4wuCJYihBxR/A2/+EP4yFr54EAYeB1f+E376DW+mXE+RGsC0oUduJGhHTB+azjpvHl8OvQvu3AjfeVLPBC34Ffx5DCz4tbZKDD2mS0vDVwdU8HVm9G37GYouCWgIN4WLYeGfYetH4I6HyTdpp2b60NZTFm8rZXj/BPonHhlFhK0yPieFGLeDxdsOcsaYAXD85XrZuxKWzIWvn4SlT8DYi2HGHTBgTKRF7nN0Nzzx8G1zpPYKwgv8LugSGTpnx0L4/AEoXARxGXDaf2mFEXtoynuTx8uyHWVcNik7QoJGjmiXk8l5aSze2i6AOXM8fPdJmPU/sOQxPZz75lUYfQGc/EsYODYyAvdBulMa+Wjr4gvgpDbHFVBi2iuGiV3L4NP7YMcXkDAQZj+gg66iOk4DX7WrgvrmFqYPywizoPZg2tB0HlqwiZLqRvolRh/6YXIWnPU7mHmXVh5Ln4AN8+GY78Kpd0PG8MgI3YfoUmm0Cdjq4/NzfZSDW+GTe2DDO9qyOOv3MOlGcMd2ednibQcRgROOoHYFgXDi0AxgE0u2l3L+8Z1Ew8alwWm/gWm3wuJHYMnjOo5lwnVwyq8hcUBYZe5LdNX35Eml1Bzf9nOdnaeUui4Ugh3V1JXpYUjB0+CKgVPu1l9uiwFYi7eWMjYzmeS4ozMqcmxWMokxLv6z9WDnSsNPbCrM+m+Yegt8+RAU/EOHsM+8A6bd1q2CPhrpytLY0WZ7W6gFMaCTuwr+AZ/eD41VOsbglF/rzE+LVDU0s6KonDknDQmdnDbH6RBOHJrBwi0HrdcNTegH5/wRpv4QPvpv/TdYPk8PZUZfEJ6Q+j5CVy0M/tBm+7fhEecoZtcyeO8OPY2afxLMfrBHnv3FW0vxeBUnjziCA7kscPLIfixYV8y2khqG9Q+gbUP6ULjiRe10XvArePU6GHIKnPO/OqTd0OXw5DQrN1BKfRo8cY5C6svh43v0Wy0pEy59Vkdv9vDN9sXmEhKiXUzIPTKLCFvlJJ/S/HxTSWBKw0/+TJjzhQ6Y++Q+mDsNZtwJM+8EV3T31x/BdDU8edrC9Qrdgc3QE9a/De//XBezmXarHor0InFMKcWXm0s4cVg6bufRHTadlRLLsP4JfLG5hO/P7OFX1OnSkaSjL4AP/x988QCsfR0ueBhypwdX4D5Ep98spVS+hcXyX0NEbhORAhFpFJFngyJ9X6WmRJu9r14HCQPg5k/12LmXmabbSmrZU1HPySNMhifAySP6sXRHGfVNvSw1mDgALv47XPO6LlT0zNnw/i+gqTY4gvYxwlmeei9wP3AWcPS6pNe9Be/dqatYnX4PTLsdr8NBS0szLaqldfF6vXqtvl37lxbVglJK7/Pt8bfW7MYRs4t+GRmsOlCGQp+jlEKhWtde5T1k378GDjkG4NtrDfFrPY+OEx07SoDszBEpvgBj/xrR263Hxbcn357X9pggOMRx+L5vO2dQFR5XIa9+8xVT8tJbP3OKs/UapzhxiEMfa7fvcDhwiUvvO5w4h56G49Yl8Mm9sPRx2PIBXPQ45E4L+GvQl+k0y1VENiilRvu2d0HH3xKlVE5ADxS5H8hWSt3Q3bmhznL1eD3UNNVQ01xDbXMtdZ466prrqPfUty6NLY00tjTS4GmgqaWpdb/Z20xTSxNNLU1629tEc0szHuU5dO314FEerRQaK2n2NNHicNDidNOiFB5lIvH7EoLgdDhxIThbmnF6W3C5Y3FFJ+N0uHC1WdwOd+va7XAT5YzSa0cUbqfej3ZGt66jndHEOGOIcekl1hlLrDuWOFccce44EtwJJEQlEO+KxxnM6mkd/Zw9zHK9uc32NcEVqXNEZA4wByAnJyB91IpSir21e9lZuZPd1bsprivmQN0BSutLKWsoo6KxgsrGSuo8dd3frA0xzhiinFGtf2S3w43b6T7kixDjiMEV/e0XxuVw4awtw124GGdTLa7MCTizJ+NyReEU57eLQ7/h2r7ZWt94bdb+xSlOEPRxHDS1KO54ZTWnjRrIlVNyDn0Dt3kLA62f+fdb395t3tj+tz4c+oZv97fq8PfU9jyrFslhFo/PujnEImpjAfmtJa+vvugh+wq8aAvrLx9vZE9FPb//zjEA2mrzfdbWemtr0fnXHq/n0ONebQX6jzc31+EtXISnZCMtcdCcOx1PVJx+UXg9NHubW9f1nnoqGytp9jbrpaWZxpZGmrxNNHr0OhAS3YkkRSeRGp1KakwqGbEZ9IvrR2Z8JtmJ2QxJHkJGbEZI2lR2NeW6qM32F0F/cufPfRJ4ErSlYfW6qqYqPtr5EZ8UfcKqA6uobq5u/czlcNEvth/pMelkxGYwPHU4ydHJJEYlkhSVRLw7nnh3PHGuOOLd8cS6Yol1xWrN79P6UY6owP8A3hb48o86VDklFy5+Tde6DAHvrdlHQ1Uj1487ganZR2ckaEfsGp3L3W9+Q1b0ZEYNDGqNKM00YOP7MP822PcanPMQjL824Nkvr/K2WrL1nnoaPA2t1m5bK7i6qZqa5hqqmqqoaKygoqGCg/UH2VS2iYMNB1uVKEBaTBqTB05mVs4sTss5jWhncGZ9rLYwiAJ+gy4unIn2T7wC/E4p1RAUSXrJrxf+mi93f0lWQhaz82czKm0UQ1OGMjhxMBmxGa1v1bBRtRde/74uT3fcFXDunyC6B1N/FvlofTGpce7WFoUGzemj+3P3m/DRuv2hURoAo86BrMXwxhyYfzts/xzO+yvEWH+eQxytL6jk6J7V/PB4PRyoO8Cu6l1srdjK+tL1LNqziA92fsB1Y67j55N/3qP7tseqI3QuMBLdKb4QnYvya3R90BuDIkkvKakrYXrmdB4//fHIdw7f9plWGM312lE27sqQPq65xcunGw9wxpiBuI7yqdb29E+KYdzgFD7asJ/bZ4UwGS1xIFz7Jiz6iy6AvG81XPacbsUQJlwOF5kJmWQmZDJ10FQAWrwtnPfmeZTUlwTtOVa/YRcB5yml/q2UWq+U+rfv2EVWHyQiLhGJAZyAU0RiRCRoszc1zTUkRydHVmF4vfDFH+H570B8Bsz5LOQKA2DZjjKqGjy6foThMM4YM4A1uysprgyxUexwwkk/g+vf0V3lnpoFq18J7TO7welwkhiVSG1z8KaHrSqNYqB9HnYssC+AZ/0GqAd+hXas1vuOBYXa5loS3BGsqF1fAa9cBZ/dD8deomMv+o0My6M/XL+faJeDk0Ycnanw3TLtIUQAABJUSURBVHGmT5l+tGF/eB6YNwN+uFD7r978Abx3F3gi118sISohqErDahj588ACEXkE2A0MBm4FOs1+bY9S6h7gnh5JaYHa5lri3fGhun3XlGyGV67UbQvPfkhX0QqTxaOU4qP1+5kxLIO4qCOzK3xvGdY/gfyMeD5YW8y1J4SpykNCf7j2Lfj4f+Crv+ludZc9F1DyYbCId8VTXFcctPsFGkZ+d7v9HwAPBk2aHtLs1dNXEVEamz+E12/S1a+vmw95J4b18SuKytlTUc9dZ44I63P7EiLCOccOZO7n2zhY00hGQphyR5wuHembOR7evg2ePAWufFm3mwwj8VHx1FaGYXgS7DDyUFLn6zUaVqWhFCz+G7x0me5pOufzsCsMgHdW7yPa5TD+jG644PgsvAr+/U0gI+ogcewlcNMHgMA/ZsP6+WF9fLwrPiI+DVtT01wDED6fRkszvPMTncQ0+ny4cQGkDA7Ps9uK4VW8u2Yfp43qT6JpQ9glIwcmMmJAAvNX742MAIOO136uAcfAq9fCwv/VL54wEB8VT01TTdDuZ0lpiEiSiPxZRJaLSKGIFPmXoEnSC/xaNCyWRkMlvHgJrJin60xeOg+iIuNLWbq9lIM1jd1XpzIAcP5xmSzbWc7eigiVtk0cANe/C8deqvNX3r4tLA7SBHdCa5pDMLBqaTwGTADuBdKA24Ei4C9BkaKXhE1pVO7W5uXORXDho7pMXAQ7d72zZi/xUU5OHWmyWq3gV67vrYnAEMWPOwa++5SugL7qBXjpUmioCukj/f8XwRqiWP3GnwlcrJR6G2jxrS9Hd4+POGFRGsVr4e9naMVxzeswPmzpOB3S0NzCe2v2ccaYAcRGhTZ56UghLyOe47KTeWPlng6zccOGiK58fuFj+gX0zNlQFTpF1qo0POFVGg6g0rddIyIp6BgNW9Q/8/s0QqY0di6CZ87R2zcu0OXfIswH64qpavBw6aTw+1L6MpdOzGbDvirW7gnt290S46+Gq17VU/VPnwkHt4TkMf7/i2D5NawqjdXAyb7thcCj6NDyzUGRopfU+oqhhMQRuuFdeP67Okz4pg/DGhbcFa98vYvBabFMG2KS0wLhgnFZxLgdvLLMFu44GDYLbngPPPVacexZHvRHRGp4cjOw07f9Y6ABSAFs0b6gdXgSbIfkyhe0p3vgsRGbIemInQdr+Wp7KVdMzsHhMFWyAyE51s05xw5i/qq91DXZpJZJ5jj9QopOhHkXwPbgJpX7X6ZhVRpKqe1KqW2+7RKl1E1KqcuVUuuDIkUv8f8y4lwddxzrEUvmwtu3Qv7JcN3burmOTXi1YBcOgUsmHn1tF4PBFZNzqG708P43wYuS7DVpQ+DGDyAlR8/ObXwvaLeOlKWBiNwoIh+JyDrf+iaJeDqppra5llhXLC5HkMKov/yjLl8/+ny46p+9rt0ZTJo8Xl5bvptTR/ZnQNLR1dw5WEzOS2VIRjwvLbVZ9/ikQXqoMvBY+Oe18M2/gnLbiCgNEXkI+CXwBvBz3/pn2CCEHLQjNChWhlJ6/vzT+3UNjEuetV25+vmr91JS3cj10/MiLUqfRUS4blouK4oqWFFUHmlxDiUuTVu2OSfo8gorX+j1LVsdoc3hdYTeAMxSSs1VSr2vlJqLnob9XlCk6CW1zbUkRPXSGlAKPvyNjtSbeANcNFfnDtgIpRR/X7idUQMTmTncZLT2hksnDSYpxsXfF26PtCiHE50IV/8Lhp6qh8gF/+jV7fwv1HAPT6p9S/tjNpi3CkKGq1J6OPLV32DKD3TVpQgGbXXGoq0H2VhczU0z8iNfaKiPEx/t4qqpuSxYW8yussBqxYaFqDi44mUYfha8ewd8/VSPb+V0OIlzxYVeaYjIEP8C/BV4Q0TOEJHRInIm8Bo2igjtsdLwK4ylj8MJP4KzH7Rt386nFu6gX2I0F4wzYePB4IbpeThEeHrRju5PjgTuGLj8BRh5Drz/s14pjnh38JLWurK/t6LbFrT9Dzq13TmnAX8LiiS9oLa5lkEJgwK/UCn44O5vFcZZv7etwlheWM6Xm0v4xeyRRLtMBGgwGJgcw0Xjs3j56yJ+ePJQBibb0LHsitL5Ta9drxWHCEz+fsC3CabS6Co13qGUcvrWnS22+PbWNNcEbmkopbuDL3lMdwq3scJQSvHHDzaSkRDFDcYBGlR+Mms4XqV45NPQRGMGBb/iGHG2rgK2wnLtq1bi3fFhd4QCICI5IjJNROwR5eSjrrku8GjQz34Pix+GSTfB7AdsqzAAFm45yJLtZdx26jBTnSvIDE6L44rJOfxz2S4KS23cZtEVBZfNg2Gnw/wfB1x7NMGd0Fp3prdYnXIdJCJfoIcsbwDbRORLEbHF4DpgS2PRX+DLh3TS2Tl/srXC8HoVf/xgE1kpsVw5tWfNowxdc/tpw3A5hf/90BZZEZ3jitY+jvyT4K1bdANxi0TC0piLzj9JVUoNAlKBlcDjQZGiF/jbIlpWGl8/BR/fA2MvhvMftuUsSVte+rqIb/ZU8rOzRhhfRojonxTDzTOHMH/1XhZvOxhpcbrGHQtXvATZk+FfN8GWjyxdFhafRjtmAHcppWoBfOtfANODIkUvCCgtfs2r2pk04mz4zhO65LyNOVDVwIMLNjJ9aDoXjcuKtDhHNLeeOozc9Dh+8+ZaGpp72WU+1EQn6OzY/qN15GjhV91eEgmlUQ6MaXdsJFARFCl6geW0+E0L4M0fQt5MuPRZcNq/PN69766n0ePl/ovGmriMEBPjdnL/RWPZfrCWxz7fFmlxuic2Ba55A5Kz4KXLYd+aLk+PxPDkIeBjEXlARG4RkQeAj3zHI4rfudOlI7TwKz1lNeg4XQ3abcOptXa8sWI3767Zx+2nDmNIP/vkvhzJzBzej++Mz+LRz7ZSsLMs0uJ0T0I/HXIenQgvXAxlnUe3JkQl4PF6aGrpfXlBq1muT6ErdWUA5/vWV/qaNUeUbi2N/evh5cshOVuH5oawn2qw2LK/mv/35lqm5qdxyylDIy3OUcVvLzyG7NRYbntpJWW1kWtwZJnkbLj2DfA267ov1R03hApm/km3SkNEnCIyD/iPUur7SqlzfOtPe/30INClT6Nyt9bA7jhtysXbP1+jsr6ZH724gvhoJ49cOd70Zg0zSTFuHr1qAmW1TfzklZU0t3i7vyjS9BupX4g1+3XN0cb2GR9tMl2beu/X6PYbqZRqQSen2fK351cahw1P6su1wmiq0b/Q1DB11uoFdU0ebnx2GTtLa3n4yvH0N6nvEWFsVjL3XzSWhVsO8rPXVuP1RrCeqFWyJ+kAsOK18Op1h1U5D2adUKuvsb8AvxUR23kP/eZWnLtNarynEV65Gkq3wRUvwsCxEZLOOvVNLfzwhRWsLCrn/64Yz/Sh9reKjmQumzyYX8weydur9vKbt9fS0hcUx4gz4fz/g22fwjs/PqSvSjDrhFoNL7wdGAjcKSIl6JwUAJRSEY04OswR6vXqwJfC/8DFT+tAGJtzoLqBm+cVsGZPJQ9+9zjOObYHeTSGoHPLyUOpbvDodo7Vjfz1inH2j8idcC1U7YXPf6+rgJ2qO6n6/z/qPL2PCrX6G4hsvf4uOMzS+PReWPs6nH6Pbodnc5ZsL+WuV1dTVtvEE9dM5MxjBkZaJIMPEeGXs0fRPzGa+95dzyVzv+KvV4xjxACbO9NP/gVUFMEXD2rFMf6a8FsaSqngVjoNIjVNumqXQxywfJ4OEZ94A5z400iL1iXltU389ePNzPuqkNz0OF79wTSOzU6OtFiGDvjeifnkpsfxs9fWcN7Di/jxrGHcNGOIffvNiMD5f4Wq3bp9aEoO8QNGAWGaPdEySJSI3CsiW0Sk1re+T0Qse+pEJE1E3vRdXygiV/Vc7G+p8/iS1bZ/Du/dCUNPs3U+SXFlA3/+cBMzH/qM55YUcsP0PP79k5lGYdic00YN4MM7TuL0Mf3504ebOemPn/H0oh1U1gWn1WHQcbrhsucgfRj88xoSKnUzpmAkrVkdnsxFR4D+GCgEcoFfA1nAjRbv8SjQBAwAxgHvichqpdS6gCRuR01TDXEOt/YYpw+3XbSnUoqisjq+3HKQj9fvZ+GWErwKzh47kDvOGGF/U9fQSkZCNI9dPZGvd5Txvx9u4r531/Pggo2cMWYAp43sz4zhGfYq9hyTrMPN/z6L2FevQ1IkKJaGVaVxETBUKeUPG18vIkvRWa/dKg0RiQcuBsYqpWqARSIyH93W8VeBi/0ttY0VJFTuBYdbVw6PCf0b2+tVNHu9NHm8NDR7qW9qobqxmcr6Zg7WNHGgqoGisjp2HKxl7Z5Kyn1vo8FpsfzolGFcMjGbvIzINI029J4p+Wn88wfTWLunktcKdvHeN/ta+8MOSIrmmMxk8tLjyUmLpX9SDOnxUSTFukmIdhEb5STG7STK6cDtlNCnB6TmwhUvIc+eR3zyQGqbDo/hCBSrSqMYiOPQXJNYdGtGK4xA94Btm3vctmtbz/B6KSlcTrK3gWtqbmflXzYAG3p8O/+UkH+mSvmOKKUXr1K0KIWVNqCJMS7y0uM5Y8wAjs1O4cSh6eRnxJsckiOIsVnJjM1K5n/OP4b1+6pYsr2UtXsq2bCvmq+2lVJvIfFNBJwiOEQQ+XZULb6Ced/u945zuZn4ljfYuWYBTP11r+4lVhrhisivgKuAR4DdwGDgVuAlYJn/vM6iREVkJvCaUmpgm2M3A1crpU5pd+4cYI5vdySwycLPkQHYPKfZ9jLaXT6wv4x2lw+sy5irlOrX0QdWlYaVyqtKKTWkk+vHo8PQ49ocuws4RSl1voV7dydfgVJqUm/vE0rsLqPd5QP7y2h3+SA4Mlqdcs3vzUPQjaJdIjJcKeUvxng80CsnqMFgCD9hyYbyFe15A7hXROJF5ETgQuD5cDzfYDAEj3CmUP4I7Tw9ALwM3NLb6dY2RDxF3wJ2l9Hu8oH9ZbS7fBAEGS35NAwGg8GPKdZgMBgCwigNg8EQEH1CaVjNWxHNgyJS6lsekjBFUwUg489FZK2IVIvIDhH5eTjkC0TGNudHichGEdltN/lEZIKv906NiOwXkZ/YSUYRiRaRx32ylYnIOyIS8pLyInKbiBSISKOIPNvNuXeISLGIVIrIP0Qk2soz+oTS4NC8lauBuSJyTAfnzUGHvB8PHAecB/zAZjIKcB26d8xs4DYRucJmMvr5OdpxHS4sySciGcAC4AkgHRgGfGgnGYGfANPQ38NMdDT1I2GQby9wP/CPrk4SkbPQKRyzgDxgCPBbS09QStl6AeLRf6QRbY49DzzQwbmLgTlt9m8ClthJxg6ufRh4xG4yAvnomPyzgd12kg/4PfB8OL5/vZBxLvBQm/1zgU1hlPV+4NkuPn8J+H2b/VlAsZV79wVLo7O8lY60+zG+z7o7L9gEImMrvqHTTMIT5BaojI8AdwP1oRbMRyDynQCUichiETngM/3DUUEuEBmfBk4UkUwRiUNbJf8Og4xW6eh/ZYCIpHd3YV9QGglAZbtjlUBHOeXtz60EEsLg1whExrbcg/4bPBMCmdpjWUYR+Q7gUkq9GQa5/ATyO8wGrkcPAXKAHejYn1ATiIybgSJgD1AFjAbuDal0gdHR/wp0/53tE0qjBkhqdywJ6CjHt/25SUCN8tlfISQQGQHtsEL7Ns5VSjWGUDY/lmT0lTF4CF0XNpwE8jusB95USi1TSjWgx+LTRSTUdRECkXEuEIP2ucSjI6LtZGl09L8CXXxn/fQFpdGat9LmWGd5K+t8n3V3XrAJREZE5EZ8TiilVFhmJrAu43C0Y2yhiBSjv+yDfF72PBvIB7CGNsWt22yH2qIMRMbj0T6FMt9L4RFgis+Jawc6+l/Zr5Qq7fbKcDuTeujUeQVtfsYDJ6JNqWM6OO+HaOddFtpjvQ74oc1kvBpdn2S0HX+P6CTGgW2W76I98gMBZ6Tl8513Grq/8DjAjW6xsdAuv0Pfec8ArwPJPhnvBvaEQT4X2sL5A9pJG4MearY/b7bvezgGPZP3KRYc90qpPqM00oC3gFr0OPEq3/GZ6OGH/zxBm9ZlvuUhfKHyNpJxB9CMNg/9y+N2krHdNacQhtmTQOUDbkH7C8qBd4DBdpIRPSx5ET1lXQEsAqaEQb570JZX2+UetO+nBshpc+6dwH60z+UZINrKM0zuicFgCIi+4NMwGAw2wigNg8EQEEZpGAyGgDBKw2AwBIRRGgaDISCM0jAYDAFhlIbBYAgIozQMBkNAGKVhMBgC4v8D9XOs1fS9e6IAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import scipy.stats as stats\n", + "\n", + "dfb = pd.DataFrame(columns=['x', 'y', 'var'])\n", + "fig, ax = plt.subplots(figsize=(4, 3))\n", + "\n", + "# plt.plot([0.5, 0.5], [0, 4], '-')\n", + "\n", + "for var in [0.01, 0.05, 0.082]:\n", + " ave = 0.5\n", + " max_var = ave - ave ** 2\n", + "\n", + " a = ave ** 2 * ( (1 - ave) / var - 1 / ave)\n", + " b = a * (1 / ave - 1)\n", + "\n", + " x = np.arange(0, 1.01, 0.01)\n", + " y = stats.beta.pdf(x, a, b)\n", + " \n", + " sns.lineplot(x, y, ax=ax)\n", + "\n", + "plt.ylim(0, 4)\n", + "ax.set_ylabel('probability density function')\n", + "plt.savefig('figures/beta-dist.png', bbox_inches='tight', dpi=300)\n", + " \n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.3" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/data-analysis/analysis-for-css2020/.ipynb_checkpoints/Jacob -mQV vs 1p1v-checkpoint.ipynb b/data-analysis/analysis-for-css2020/.ipynb_checkpoints/Jacob -mQV vs 1p1v-checkpoint.ipynb new file mode 100644 index 0000000..a21b1b7 --- /dev/null +++ b/data-analysis/analysis-for-css2020/.ipynb_checkpoints/Jacob -mQV vs 1p1v-checkpoint.ipynb @@ -0,0 +1,1796 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "ToDo:\n", + "- Add 1p1v as benchmarks on QV graphs" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Imports + Loading Data & Helper Functions" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "\n", + "import matplotlib \n", + "font = {'size' : 12}\n", + "matplotlib.rc('font', **font)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "def to_array(string):\n", + " return np.array([float(el) for el in string.replace(\"[\", \"\").replace(\"]\",\"\").split(\" \")])\n", + "def WL_per_issue(payoffs):\n", + " return (payoffs < 0) * 1" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "def load_csv_to_dataframe(csv_path):\n", + " df = pd.read_csv(csv_path)\n", + "\n", + " cols_to_drop = ['vote-portion-strategic', 'proportion-of-strategic-voters', 'minority-power',\n", + " 'y-axis', 'x-axis', 'issue-num', 'poll-response-rate', '[step]']\n", + " df.drop(columns=cols_to_drop, inplace=True)\n", + "\n", + " df['total-payoff-per-issue'] = df['total-payoff-per-issue'].apply(to_array)\n", + " df['mean-utilities'] = df['mean-utilities'].apply(to_array)\n", + " df['median-utilities'] = df['median-utilities'].apply(to_array)\n", + " df['mean-median-same-sign-list'] = df['mean-median-same-sign-list'].apply(to_array)\n", + "\n", + "\n", + "\n", + " df['WL-per-issue'] = df['total-payoff-per-issue'].apply(WL_per_issue)\n", + " df['mean-WL'] = df['WL-per-issue'].apply(np.mean)\n", + " return df\n", + "\n", + "\n", + "def aggregate_by_num_voters_num_issues(ldf):\n", + " ladf = ldf.groupby(['number-of-voters', 'number-of-issues']).aggregate('mean').reset_index()\n", + " n_issues_dict = {2:'two', 4: 'four', 5:'five', 6: 'six', 8: 'eight', 10: 'ten'}\n", + " ladf['num_issues'] = ladf['number-of-issues'].apply(lambda x: n_issues_dict[x])\n", + " ladf['n-voters'] = ladf['number-of-voters'].apply(lambda n: \"=\" + str(n))\n", + " return ladf\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "# Helper functions\n", + "def plot_WL_vs_n_issues(ladf, \n", + " title, \n", + " hue='number-of-voters', \n", + " ylim=(0, 0.25), \n", + " WL_col = \"mean-WL\"):\n", + " \n", + " ax2 = sns.scatterplot(x=\"number-of-issues\", \n", + " y=WL_col,\n", + " hue=hue,\n", + " data = ladf,)\n", + "\n", + " ax2.set(ylim=ylim,\n", + " xlabel = \"number-of-issues\")\n", + "\n", + " plt.title(title)\n", + " plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n", + " plt.show()\n", + "\n", + "def plot_WL_vs_n_voters(ladf, title, \n", + " hue='number-of-issues', \n", + " ylim = (0, 0.25),\n", + " WL_col=\"mean-WL\"):\n", + " f, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 5))\n", + " sns.scatterplot(x=\"number-of-voters\", \n", + " y=WL_col,\n", + " data = ladf,\n", + " hue=hue,\n", + " ax=ax1)\n", + "\n", + " sns.scatterplot(x=\"number-of-voters\", \n", + " y=WL_col,\n", + " data = ladf,\n", + " hue=hue,\n", + " ax=ax2)\n", + " \n", + " ax1.legend_.remove()\n", + " ax2.set(xscale=\"log\", xlabel = \"number-of-voters (log scale)\")\n", + " ax1.set(ylim=ylim, xlim=(0, 10100))\n", + " ax2.set(ylim=ylim)\n", + " f.suptitle(title)\n", + " \n", + " \n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = load_csv_to_dataframe('2020.02.19-multi-issue-QV-non-strategic-voting.csv')\n", + "# checking that mean-WL is 0 whenever maximial-utility? is True and is >0 when maximal utility is false\n", + "all(df['maximal-utility?'].apply(lambda mu: not mu) == np.ceil(df['mean-WL']))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true + }, + "source": [ + "# Wellfare loss of QV and 1p1v in multi-issue voting -- all utilities from normal distrubution with $\\mu=0$" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "## Dataframe prep" + ] + }, + { + "cell_type": "code", + "execution_count": 397, + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [ + "df_normal = df[df['utility-distribution'] == \"Normal mean = 0\"] \n", + "dfn_qv = df_normal[df_normal['QV?'] == True]\n", + "dfn_1p1v = df_normal[df_normal['QV?'] == False]" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hidden": true + }, + "source": [ + "## 1p1v wellfare loss - all utilities from normal distrubution with $\\mu=0$\n", + "\n", + "As expected, wellfare loss doesn't depend on number of issues or number of voters for 1p1v with all utility distrubtions normal with $\\mu=0$" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "### Dataframe prep" + ] + }, + { + "cell_type": "code", + "execution_count": 407, + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [ + "adf_1p1v = dfn_1p1v.groupby(['number-of-voters', 'number-of-issues']).aggregate('mean').reset_index()\n", + "n_issues_dict = {2:'two', 4: 'four', 6: 'six', 8: 'eight', 10: 'ten'}\n", + "adf_1p1v['num_issues'] = adf_1p1v['number-of-issues'].apply(lambda x: n_issues_dict[x])" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "### 1p1v wellfare loss vs number of voters and issues" + ] + }, + { + "cell_type": "code", + "execution_count": 359, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_voters(adf_1p1v, '1p1v wellfare loss vs n_voters - All normal $\\mu=0$', hue='num_issues')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hidden": true + }, + "source": [ + "## QV wellfare loss - all utilities from normal distrubution with $\\mu=0$" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hidden": true + }, + "source": [ + "### Dataframe prep" + ] + }, + { + "cell_type": "code", + "execution_count": 448, + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [ + "## Prepare aggregate data frame\n", + "adf_qv = dfn_qv.groupby(['number-of-voters', 'number-of-issues']).aggregate('mean').reset_index()\n", + "n_issues_dict = {2:'two', 4: 'four', 6: 'six', 8: 'eight', 10: 'ten'}\n", + "adf_qv['num_issues'] = adf_qv['number-of-issues'].apply(lambda x: n_issues_dict[x])\n", + "adf_qv['n-voters'] = adf_qv['number-of-voters'].apply(lambda n: \"=\" + str(n))\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "### QV wellfare loss vs number of voters\n", + "\n", + "Seems that in this case (all normal distrubtions), wellfare loss does not significantly decrease with number of voters, at least not up to 10k voters. " + ] + }, + { + "cell_type": "code", + "execution_count": 361, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_voters(adf_qv, 'QV wellfare loss vs n_voters - All normal $\\mu=0$', hue='num_issues')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hidden": true + }, + "source": [ + "### QV wellfare loss vs number of issues for plot\n", + "\n", + "Wellfare loss decreases slowly with the number of issues. It reaches about .07 with ten issues. " + ] + }, + { + "cell_type": "code", + "execution_count": 409, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0.20398952380952354" + ] + }, + "execution_count": 409, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 480, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# plot_WL_vs_n_issues(adf_qv, 'QV wellfare loss vs n issues, $\\mu=0$', hue='n-voters')\n", + "adf = dfn_qv.groupby(['number-of-issues']).aggregate('mean').reset_index()\n", + "f, ax = plt.subplots(figsize=(4, 3))\n", + "sns.scatterplot(x=\"number-of-issues\", \n", + " y=\"mean-WL\",\n", + "# hue='n-voters',\n", + " ax = ax,\n", + " data = adf)\n", + "\n", + "ax.set(ylim=(0, 0.25), \n", + " xlabel = \"Number of Issues\",\n", + " ylabel=\"normal dist. WL\")\n", + "\n", + "WL_1p1v = adf_1p1v['mean-WL'].mean()\n", + "plt.plot([2, 10], [WL_1p1v]*2, 'k--', linewidth=1)\n", + "\n", + "# plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n", + "plt.savefig('figures/mQV_WL_vs_n_issues_𝜇=0.png', bbox_inches='tight', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Wellfare loss of QV and 1p1v in multi-issue voting -- all utilities from normal distrubution with $\\mu=0$ except for one with Prop8 Calibration using uniform distributions" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Dataframe prep" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "df_prop8 = df[df['utility-distribution'] == \"Prop8 mean>0\"].copy()\n", + "df_prop8['Prop8-WL'] = df_prop8['WL-per-issue'].apply(lambda ar: ar[0])\n", + "df_prop8['all-but-pop8-WL'] = df_prop8['WL-per-issue'].apply(lambda ar: np.mean(ar[1:]))\n", + "df8_qv = df_prop8[df_prop8['QV?'] == True]\n", + "df8_1p1v = df_prop8[df_prop8['QV?'] == False]\n", + "\n", + "# 1p1v dataframes \n", + "adf_8_1p1v = df8_1p1v.groupby(['number-of-voters', 'number-of-issues']).aggregate('mean').reset_index()\n", + "n_issues_dict = {2:'two', 4: 'four', 5:'five', 6: 'six', 8: 'eight', 10: 'ten'}\n", + "adf_8_1p1v['num_issues'] = adf_8_1p1v['number-of-issues'].apply(lambda x: n_issues_dict[x])\n", + "adf_8_1p1v['n-voters'] = adf_8_1p1v['number-of-voters'].apply(lambda n: \"=\" + str(n))\n", + "\n", + "# QV dataframe prep\n", + "adf_8_qv = df8_qv.groupby(['number-of-voters', 'number-of-issues']).aggregate('mean').reset_index()\n", + "n_issues_dict = {2:'two', 4: 'four', 5: 'five', 6: 'six', 8: 'eight', 10: 'ten'}\n", + "adf_8_qv['num_issues'] = adf_8_qv['number-of-issues'].apply(lambda x: n_issues_dict[x])\n", + "adf_8_qv['n-voters'] = adf_8_qv['number-of-voters'].apply(lambda n: \"=\" + str(n))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## WL vs N voters for paper (both QV and 1p1v)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "adf_8_1p1v2 = df8_1p1v.groupby(['number-of-voters']).aggregate('mean').reset_index()\n", + "adf_8_1p1v2['num_issues'] = 'one/1p1v'\n", + "# plot_WL_vs_n_voters(adf_8_1p1v2, \n", + "# '1p1v wellfare loss vs n_voters - just prop8 issue', \n", + "# ylim=(0,1.1),\n", + "# hue='num_issues',\n", + "# WL_col = \"Prop8-WL\")\n", + "# plot_WL_vs_n_voters(adf_8_qv, \n", + "# 'QV wellfare loss vs n_voters - just prop8 issue', \n", + "# hue='num_issues',\n", + "# ylim=(0,1),\n", + "# WL_col = \"Prop8-WL\")\n", + "wl_nv_df = adf_8_qv.append(adf_8_1p1v2, sort=False)\n", + "wl_nv_df['QV?'] = wl_nv_df['QV?'].apply(lambda x: 2 if x ==0 else 1)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# plot_WL_vs_n_issues(adf_qv, 'QV wellfare loss vs n issues, $\\mu=0$', hue='n-voters')\n", + "\n", + "\n", + "f, ax = plt.subplots(figsize=(4, 3))\n", + "sns.scatterplot(x=\"number-of-voters\", \n", + " y=\"Prop8-WL\",\n", + " hue='num_issues',\n", + " style='QV?',\n", + " ax = ax,\n", + " data = wl_nv_df)\n", + "\n", + "ax.set(ylim=(0, 1), \n", + " xscale='log',\n", + " xlabel = \"Number of Voters\",\n", + " ylabel=\"Prop8 WL\")\n", + "\n", + "\n", + "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n", + "plt.savefig('figures/mQV_WL_vs_voters_prop8.png', bbox_inches='tight', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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number-of-votersnumber-of-issues[run number]QV?maximal-utility?mean-WLProp8-WLall-but-pop8-WLnum_issuesn-voters
51110.019500.510.4710.07440.0680.075111ten=11
115110.039500.510.4360.07770.1190.073111ten=51
1710110.059500.510.4340.07850.1370.072000ten=101
2350110.079500.510.3950.08520.2140.070889ten=501
29100110.099500.510.3830.08730.2400.070333ten=1001
35500110.0119500.510.4360.07750.1260.072111ten=5001
411000110.0139500.510.4930.06560.0530.067000ten=10001
\n", + "
" + ], + "text/plain": [ + " number-of-voters number-of-issues [run number] QV? maximal-utility? \\\n", + "5 11 10.0 19500.5 1 0.471 \n", + "11 51 10.0 39500.5 1 0.436 \n", + "17 101 10.0 59500.5 1 0.434 \n", + "23 501 10.0 79500.5 1 0.395 \n", + "29 1001 10.0 99500.5 1 0.383 \n", + "35 5001 10.0 119500.5 1 0.436 \n", + "41 10001 10.0 139500.5 1 0.493 \n", + "\n", + " mean-WL Prop8-WL all-but-pop8-WL num_issues n-voters \n", + "5 0.0744 0.068 0.075111 ten =11 \n", + "11 0.0777 0.119 0.073111 ten =51 \n", + "17 0.0785 0.137 0.072000 ten =101 \n", + "23 0.0852 0.214 0.070889 ten =501 \n", + "29 0.0873 0.240 0.070333 ten =1001 \n", + "35 0.0775 0.126 0.072111 ten =5001 \n", + "41 0.0656 0.053 0.067000 ten =10001 " + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wl_nv_df[wl_nv_df['num_issues']=='ten']" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1p1v wellfare loss" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 1p1v wellfare loss vs number of voters" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true + }, + "source": [ + "#### Avg WL of all issues" + ] + }, + { + "cell_type": "code", + "execution_count": 374, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# adf_8_1p1v[adf_8_1p1v['number-of-issues'].isin([10])]\n", + "plot_WL_vs_n_voters(adf_8_1p1v, \n", + " '1p1v wellfare loss vs n_voters - just prop8 issue', \n", + " hue='num_issues',\n", + " ylim=(0,1.1),\n", + " WL_col = \"Prop8-WL\")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true + }, + "source": [ + "#### WL of all isues but Prop8 Issue" + ] + }, + { + "cell_type": "code", + "execution_count": 376, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_voters(adf_8_1p1v, \n", + " '1p1v wellfare loss vs n_voters - all but prop8 issue', \n", + " hue='num_issues',\n", + " ylim=(0,1.1),\n", + " WL_col = \"all-but-pop8-WL\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 1p1v wellfare loss vs number of issues" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true + }, + "source": [ + "#### Avg of all issues" + ] + }, + { + "cell_type": "code", + "execution_count": 377, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_issues(adf_8_1p1v, \n", + " '1p1v avg. wellfare loss vs n issues, 1 Prop8 and rest $\\mu=0$', \n", + " hue='n-voters',\n", + " ylim=(0, 0.7))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true + }, + "source": [ + "#### Just Prop8 issue and all but " + ] + }, + { + "cell_type": "code", + "execution_count": 378, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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RZIndGGOMiaO2ttiOO7TEbowxJmEVFhYed+uttw4ZO3bshKysrJLzzz9/lNfrPWik349+9KOjzjnnnFGhZVdeeeWwK664YhjAxo0bU6ZNmzY6JyenZPjw4ZPuvffefIDnnnsu+4EHHjjqxRdfzHW73aXjxo2bAFBbW5v01a9+dcSgQYMmDx48ePK3vvWtAp/PB8Cvf/3rgWVlZcdeffXVwwYMGFBy4403FqxatSrt+OOPH5eVlVWSm5tbfP7554+ihxLmAjXGGGNMJM8//3zeX/7yl3UZGRntJ5100rEPPvhg/g9+8IOa0DqXX3757vvuu2/onj17XLm5ue0+n4/FixfnPv300xsAZsyYMerYY49tWrx4cdU777yTfv75548dM2ZMy4wZM+r/+c9/bt+wYUPaokWLPg6u76KLLioaNGiQb8OGDav27dvnOuecc8bcf//9rd///vd3Abz77rue6dOn766pqXmnpaVFvva1rxVNmzat7u233/6wpaVF3nzzTU9Pt9da7MYYYxLaN77xjR1FRUVtQ4YM8Z911ll177zzTkZ4nbFjx7ZOmDDBu2DBglyAP//5z9np6entp59+euP69etTVq5cmfnAAw984na79eSTT26aNWvWrscee2xgpOfbsmVL8htvvJHz8MMPb87Ozm4vLCz0ffOb39zx3HPP5QXrDBo0qPVHP/rRzpSUFDIzMzU5OVk3b96ctnHjxhS3261nn312Q0+31xK7McaYhFZQULD/ILbb7W5vbGxMmjJlyhi3213qdrtLH3rooTyAmTNn7n7mmWfyABYsWJD3la98ZTfA5s2bU7Ozs325ubntwfWMGDGiddu2bSmRnm/9+vWpPp9Phg4dWpyVlVWSlZVVcuONN46ora3dX3/o0KEHHFj/1a9+9YmqctJJJ40fPXr0xF/+8pcRfzR0h3XFG2OMOeIsXbp0XXjZZZddtuf2228ftmHDhpRXX311wBtvvPEBwPDhw1vr6+uTg9304CT7YHIWkQMupTtq1Ki21NRU3b179zspKRFz/0HLDB8+3Pf0009vAnj11Vczv/jFL44944wzGiZNmtQS7bZZi90YY4wBCgoKfCeccMK+Sy+9tOjoo49uLSsrawYYPXp0W0lJScO3v/3to71er/z73//OeOqpp/IvvfTSWoAhQ4b4Pvnkk1S/3w/AiBEj2k455ZS6a665Ztju3btdfr+f1atXp7344ouZHT33o48+mrthw4YUgIEDB/pEhJ5ee98SuzHGGBNw4YUX1v7rX//KnjFjRm1o+TPPPPPRli1bUocOHVo8Y8aMYyoqKrZecMEF+wAuu+yy3QC5ubklEyZMGB+ov7G1tVXGjx8/acCAASUzZsw4prq6OnLzHVi2bJnnpJNOGu92u0u//OUvj/7pT3+6ecKECa092QZRTYyb8ZSXl6vdttUYY6IjIitUtfxQ1lFVVbWxuLh4V6xiMl2rqqrKLy4uLoo0r89a7CLyTRGpFJEWEZnfRd3viMh2EakXkUdFJK2PwjTGGGMOa33ZFb8V+CnwaGeVRORs4CbgdGAEMAq4o9ejM8YYYxJAnyV2Vf2jqr4A1HZR9XLgEVVdrap7gDuBK3o7PmOMMSYR9MfBcxOBqpDpKmCIiBx0Tp+IXBPo3q+sqakJn22MMcYccfpjYs8E6kKmg/9nhVdU1YdVtVxVywcNGtQnwRljjDH9WX9M7A1Adsh08P99cYjFGGOMOaz0x8S+GigOmS4GdqhqV8fmjTHGmCNeX57uliwi6UASkCQi6SIS6ZK2jwNXi8gEERkA/BiY31dxGmOMMYezvmyx/xhowjmV7ZLA/z8WkeEi0iAiwwFU9RXg58ASYDOwCbitD+M0xhhjDlt9ebrb7aoqYY/bVXWzqmaq6uaQuvep6hBVzVbVK1U16ovgG2OMMd0xe/bsQZMmTRqfmppaNn369KLQec3NzXLOOeeMKiwsPE5EPrN48eKDBnL3N/3xGLsxxhjTZwoLC9sqKiq2zZw5M+JlcU8++eSGRx999OP8/Py2SPP7G7ttqzHGmLh58u1Neb/++7rCmn0tqYOy0lq/dfqY6ks+O2J3X8Zw+eWX7wVYvny5u7q6OjV0Xnp6ut566607AVyuw6MtbIndGGNMXDz59qa8OxevGdHia3cB7NzXknrn4jUjAGKV3KdOnTq6srIy4u1Sy8vLG5YsWbI+Fs/Tn1hiN8YYExe//vu6wmBSD2rxtbt+/fd1hbFK7ImYuLtyePQrGGOMSTg1+1pSoyk33WMtdmOMMXExKCutdWeEJD4oK601Vs8xZcqUMZ11xS9dunRdrJ6rv7DEbowxJi6+dfqY6tBj7ABpya72b50+pjpWz9GdxN3W1kZbW5v4/X7x+/3i9XolJSVFU1JSAGhqahJVBaC1tVW8Xq+kp6drfx1MZ4ndGGNMXASPo8d7VHxFRUXB/fffPzQ47fF48r7zne9su++++7YCjB49etLWrVtTAaZPnz4G4IMPPnhv3LhxMetZiKX9v0IOd+Xl5VpZWRnvMIwx5rAiIitUtfxQ1lFVVbWxuLg44jngpndUVVXlFxcXF0Wa1z/7EYwxxhjTI5bYjTHGmARiid0YY4xJIJbYjTHGmARiid0YY4xJIJbYjTHGmARiid0YY4xJIJbYjTHGmARiid0YY4xJIJbYjTHGHNFOOOGEcWlpaWVut7vU7XaXFhUVTQrO27RpU8q0adNGDx48eLKIfObDDz/s93ees8RujDHmiHfXXXdt9nq9K71e78qNGzeuCpa7XC4966yz6hYuXLghnvFFw24CY4wxJn6WP5LHGz8rpGFnKpmDW/lcRTXHX92nN4HpzLBhw3w33XRTTVtbW7xD6TZrsRtjjImP5Y/k8erNI2jYkQoKDTtSefXmESx/JC9WTzF16tTRWVlZJZEeU6dOHR2sd+eddxbm5uYWl5WVHbt48eKsWD1/PFiL3RhjTHy88bNCfC0HNjB9LS7e+FlhrFrtS5YsWd9VnbvvvvuT0tLSpvT0dJ03b17ehRdeOHrZsmVrJk6c2BKLGPqatdiNMcbER8POyAPROirvJdOmTWvMzc1tz8jI0BtuuKG2rKys4YUXXsjpyxhiyVrsxhhj4iNzcKvTDR+hPEamTJkyprKyMjPSvPLy8oalS5euCy8XEVQ1ViH0OUvsxhhj4uNzFdW8evOIA7rjk9Pa+VxFdayeIlLiDrVr166kN954w3PuuefuS0lJ0Xnz5uUtX74888EHH9wcrOP1esXn8wlAc3OzeL1ecbvd/TbzW2I3xhgTH8Hj6HEcFd/a2iq33XZb4WWXXZbucrl01KhRzQsXLtwwefLk/cfXPR5PWfD/kpKSSQCquqKvYoyWJXZjjDHxc/zVu+N5eltBQYFv1apV73dWpz8n8Uhs8JwxxhiTQCyxG2OMMQmkzxK7iOSJyPMi0igim0RkVgf10kRkrojsEJHdIvJnESnsqziNMcaYw1lftth/A7QCQ4CLgYdEZGKEet8GTgImAwXAHuCBvgrSGGOMOZz1SWIXEQ8wHbhFVRtU9S3gT8ClEaqPBF5V1R2q2gz8Hoj0A8AYY4wxYfqqxT4W8Knq2pCyKiIn7EeAU0SkQETcOK37lyOtVESuEZFKEamsqamJedDGGGPM4aavEnsmUB9WVgdEutD+OmALUB1YZjzwk0grVdWHVbVcVcsHDRoUw3CNMcaYw1NfJfYGIDusLBvYF6Hub4A0YCDgAf5IBy12Y4wxxhzokBO7iHRnHWuBZBEZE1JWDKyOULcEmK+qu1W1BWfg3Akikn+osRpjjDGJ7pASu4ikAV3efV5VG3Fa3j8REY+InAJ8CXgiQvXlwGUikiMiKcB1wFZV3XUosRpjjDGRzJ49e9CkSZPGp6amlk2fPr0ofP6iRYuyRo4cOTEjI6P0xBNPHLt27dr9N66ZN29ebmlp6bEZGRmlJ5xwwrg+DbwDseiKl27Wuw7IAHYCTwHfUNXVInKaiDSE1Pse0IxzrL0GOA/4cgziNMYYYw5SWFjYVlFRsW3mzJkHNSC3bduWfMkllxxzyy23bK2trX2npKTEO3PmzFHB+fn5+b7rr79+x/XXX7+9b6PuWCyuFd+tO9yo6m7gggjlb+IMrgtO1+KMhDfGGJPgfv/h7/PmVs0trG2qTR2YMbD12uJrqy8cd2GfXjv+8ssv3wuwfPlyd3V19QG3kV2wYMGA0aNHN1911VV7AO65556tgwcPLlm5cmV6aWlp8wUXXLAP4L777us3h4vtJjDGGGPi4vcf/j7v58t/PqLV3+oC2NW0K/Xny38+AiBWyX3q1KmjO7sf+5IlS9Z3tvzq1aszJkyY4A1OZ2dntw8bNqylqqoqvbS0tDkWMcZal4ldRN6k41a5XWveGGNMj8ytmlsYTOpBrf5W19yquYWxSuxdJe6uNDY2uvLz832hZVlZWf76+vqkQ4us93SnxT6vi/m/jUUgxhhjjiy1TbWp0ZTHg8fjaQ9P4g0NDa7s7Gx/vGLqSncS+xOq2t7rkRhjjDmiDMwY2LqraddBSXxgxsDWWD3HlClTxnTWFb906dJ1nS0/ceLEpoULF+4/fl5fX+/asmVLWnFxcb/shofudaXvFZFXROSHInJK4BQ0Y4wx5pBcW3xtdWpS6gENx9Sk1PZri6+tjtVzLF26dJ3X610Z6RFM6m1tbXi9XvH7/eL3+8Xr9Upbm3Mm96xZs/auW7cuff78+QO8Xq9UVFQMHTt2bFPw+LrP58Pr9YrP55P29na8Xq+0tLR092yxXtGdxH4u8DpwCvAiTqJfIiJ3iMjpIpLRmwEaY4xJTBeOu3D3D47/wab8jPxWQcjPyG/9wfE/2NTXo+IrKioKPB5P2Zw5c45atGhRnsfjKauoqCgAKCgo8D3xxBMb7rjjjsK8vLzSFStWZD7zzDMfBZedM2fOwED94StWrMj0eDxls2bNGtGX8YcT1W6dreZUFhGcK8ZNAU4DPg9kqWp6r0QXhfLycq2srIx3GMYYc1gRkRWqWn4o66iqqtpYXFxsFxHrQ1VVVfnFxcVFkeZFO6o9BxgGDAeCv0j+3vPQjDHGGBNL3TndbSZOC30KkAv8A3gLeBx4T6Np8htjjDGmV3VnVPzvgfeBnwG/D9yYxRhjjDH9UHe64k/FuVnLhcAmEXlTRGaLyLkiEn4rVmOMMcbEUZeJXVX/qap3q+r5wFDgBmA7cCWwVkRW9nKMxhhjjOmmaK8VHxw8NwwoAgYC/fbqO8YYY8yRJtrBcxOBzcCbwP8BS1W106v2GGOMMabvdKfFfiewFLgHJ5Fv7t2QjDHGGNNTXSZ2VT22LwIxxhhjzKHr0W1XRaQ+1oEYY4wx8XDCCSeMS0tLK3O73aVut7u0qKhoUuj8uXPn5hUUFByXkZFResYZZxyzY8eO/Xd7mz179qBJkyaNT01NLZs+fXpRnwcfQU/vpx7XC9wbY4wxsXTXXXdtDt4cZuPGjauC5ZWVlek33njjiEceeeTj7du3V2VkZLRfffXV+68FX1hY2FZRUbFt5syZ/eaSutGOijfGGGNiZvdTT+fVzplT6Nu1KzU5P7914HXXVed97aI+vQlMZ+bPnz9w2rRpe88999wGgLvvvntrSUnJxD179rhyc3PbL7/88r0Ay5cvd1dXV/eL+8j3tMU+IaZRGGOMOeLsfurpvJ133z3CV1OTiiq+mprUnXffPWL3U0/nxeo5pk6dOjorK6sk0mPq1Kmjg/XuvPPOwtzc3OKysrJjFy9enBUsf//999MnT57cFJyeOHFiS0pKiq5atSruNz/rSLda7IG7ug1W1R2BojYR+QqwSlXX9lp0xhhjElbtnDmF2tJyQANTW1pctXPmFMaq1b5kyZL1XdW5++67PyktLW1KT0/XefPm5V144YWjly1btmbixIktXq83KScn54DrtWRmZvrr6uqSOlpfvHXZYheRU4AdwFYRWSEinwHeAW4B/iMis3o5RmOMMQnIt2tXxK7rjsp7y7Rp0xpzc3PbMzIy9IYbbqgtKytreOGFF3IA3G63v76+/oBc2djYeFCy70+60xV/P3ArkAXMB14GLlfVUuDLwI96LTpjjDEJKzk/vzWa8p6YMmXKmODwzT4hAAAgAElEQVRo9/DHlClTxkRaRkQI3rh0/Pjxze+++647OG/NmjWpra2tMmnSpOZYxRhr3UnsY1V1rqp6gd8AA1T1VQBV/StwdG8GaIwxJjENvO66aklLaw8tk7S09oHXXVcdq+dYunTpuuBo9/DH0qVL1+3atSvpD3/4Q7bX65W2tjYeeuihvOXLl2d+8YtfrAO44ooral977bUBr7zySmZ9fb3r5ptvLjz77LP35ubmtgO0tbXh9XrF7/eL3++X4HriqTvH2HeLSImqvgOUA4jIMaq6QURGAnt7NUJjjDEJKXgcPZ6j4ltbW+W2224rvOyyy9JdLpeOGjWqeeHChRsmT57cAlBeXt78i1/8YtOVV145cu/evcknn3xy/cKFCzcGl6+oqCi4//77hwanPR5P3ne+851t991339a+2oZwEuxu6LCCyA3AXcAqIAn4I3AFsBg4H3haVW/v1Si7oby8XCsrK+MdhjHGHFZEZIWqlh/KOqqqqjYWFxf3m/O4jwRVVVX5xcXFRZHmdeeSsg+IyL9x7ub2sqruE5EaoBiYraqPxzJYY4wxxvRct053U9VlwLKQ6Xm9FpExxhhjeiyqC9SIyFUi8lcRWR34e3XgHHdjjDHG9APdTuwi8nOgAucY+/cDf78H/Kyby+eJyPMi0igimzo7/11EykRkqYg0iMgOEfl2d+M0xhhjjmTRXCv+CqBMVT8JFojIYuA/wA+6sfxvgFZgCFACvCgiVaq6OrSSiOQDrwDfAZ4DUrFT6owxxphuiaYrfl/gEV7W5S1cRcQDTAduUdUGVX0L+BNwaYTq3wVeVdUFqtqiqvtU9f0o4jTGGGOOWNEk9l8CfxSRM0VkvIicBTwL3C8io4KPDpYdC/jCritfBUyMUPezOOfO/1NEdorIn0VkeKSVisg1IlIpIpU1NTVRbIoxxhiTmKLpiv9V4O/UsPLTgV8H/lecc93DZXJwy74O5zK14Y4GyoAzgfeAnwNPAaeEV1TVh4GHwTmPvcstMMYYYxJctxO7qvb0Fq8ADUB2WFk2B3ftAzQBz6vqcgARuQPYJSI5qlp3CDEYY4wxCS/qZC0iw0XkJBEZFsVia4FkEQm94H4xsDpC3XdxWv5B1hI3xhjTa2bPnj1o0qRJ41NTU8umT59eFD5/0aJFWSNHjpyYkZFReuKJJ45du3bt/rvPNTU1ycyZM4syMzNL8/Pzi2+//fYhwXnNzc1yzjnnjCosLDxORD4Tep/33hTN6W5DReQNYD3OqW4bAqekFXS1rKo2Bpb5iYh4AreC/RLwRITqvwO+LCIlIpKCc3vYt6y1bowxpjcUFha2VVRUbJs5c+ZBl8Xdtm1b8iWXXHLMLbfcsrW2tvadkpIS78yZM/ePJ/ve975X8NFHH6V9/PHH7/7lL3/58MEHHzzqueee299DffLJJzc8+uijH+fn5/fZnWGiOcb+EM6At/NUtTEw0n02MBf4YjeWvw54FNgJ1ALfUNXVInIazqVqMwFU9TUR+SHwIuAG3gLsnu/GGJOA3nvjk7zKlzYWeutaU905qa3l5xVVH/e5o/vsJjAAl19++V6A5cuXu6urqw+4F/yCBQsGjB49uvmqq67aA3DPPfdsHTx4cMnKlSvTS0tLm5999tmBc+fO3Tho0CD/oEGD/BdffHHN/Pnz82fMmFGfnp6ut956604Al+tQjmZHJ5rEfiowVFXbwGmFi8gPgG7dXk9VdwMXRCh/E2dwXWjZQzg/JIwxxiSo9974JO8fz64f4fe1uwC8da2p/3h2/QiAWCX3qVOnjq6srMyMNK+8vLxhyZIl6ztbfvXq1RkTJkzwBqezs7Pbhw0b1lJVVZV+9NFHt9XU1KQcf/zx++eXlJQ0vfzyywNiEXtPRZPY9wATcFrtQeOw27YaY4zpgcqXNhYGk3qQ39fuqnxpY2GsEntXibsrjY2Nrvz8fF9oWVZWlr++vj6prq7OBTBw4EB/cN6AAQP8jY2Nkc4O6zPRJPafA38TkUeATcAI4EqcY+DGGGNMVLx1ranRlMeDx+Npr6+vPyBRNzQ0uLKzs/05OTntAHv27Elyu90+gLq6OpfH4/FHWldf6Xanv6r+FrgQyAf+K/B3VuBccmOMMSYq7pzU1mjKe2LKlClj3G53aaTHlClTxnS1/MSJE5vWrFnjDk7X19e7tmzZklZcXNwcOK7etmzZsv3z33nnHffYsWObYxV/T0TTYkdVXwNe66VYjDHGHEHKzyuqDj3GDpCU7GovP6+oW2O3umPp0qXruqrT1tZGW1ub+P1+8fv94vV6JSUlRVNSUpg1a9beO+644+j58+cP+OpXv1pXUVExdOzYsU2lpaXNADNmzKidPXv20FNPPbXxk08+SVmwYEH+Qw89tDG47qamJlF1ztpubW0Vr9cr6enp2puD6aI53S1VRH4iIusCd2hbJyJ3ikh6r0VnjDEmYR33uaN3nzJz9KZgC92dk9p6yszRm/p6VHxFRUWBx+MpmzNnzlGLFi3K83g8ZRUVFQUABQUFvieeeGLDHXfcUZiXl1e6YsWKzGeeeeaj4LL33nvv1qKiopaRI0dOPuOMM8Zdf/31O2bMmLH/SqujR4+e5PF4ynbu3Jkyffr0MR6Pp2zdunW9eqhh/y+JLis6x9bHAf/Lp8fYfwisU9Wrei3CbiovL9fKysp4h2GMMYcVEVmhquWHso6qqqqNxcXFB50DbnpPVVVVfnFxcVGkedF0xV8AHKOqwVHwa0Tk3zgXrIl7YjfGGGNMdJeU3Y5zwZhQGcC22IVjjDHGmEMRTYv9CeAVEXkA+AQYBlwPPC4i04KVAgPsjDHGGBMH0ST2/wn8/WFY+bWBBzg3bOnonuzGGGOM6WXR3LZ1ZG8GYowxxphD16MT6UTka7EOxBhjjDGHrqdnyP9fTKMwxhhjTEz0NLFLTKMwxhhjTEz0NLG/GdMojDHGGBMT0VxSdmbwf1U9L6R8RqyDMsYYY/rKCSecMC4tLa0seHOYoqKiSaHz586dm1dQUHBcRkZG6RlnnHHMjh079t/tbceOHUlnnnnmMRkZGaUFBQXHzZ07Ny84b9OmTSnTpk0bPXjw4Mki8pkPP/ywT+5aF02L/ZEOyu3ubsYYYw5rd91112av17vS6/Wu3Lhx46pgeWVlZfqNN9444pFHHvl4+/btVRkZGe1XX331iOD8r3/968NTU1N1+/btVb/73e8+/v73vz+8srIyHcDlculZZ51Vt3Dhwg19uS1dnu4mIsHz0l0iMpIDj6+PAuJ6ezpjjDGHr3f++lLe2889Vdi4d0+qZ0Bu62dnfK265Mzz+vQmMJ2ZP3/+wGnTpu0999xzGwDuvvvurSUlJRP37NnjSkpK4pVXXsldsWLF6pycnPazzz674fTTT6979NFHB5aXl1cPGzbMd9NNN9W0tbX1aczdabGvB9bhXE52Q2A6+HgcuL23gjPGGJO43vnrS3mvP/bbEY1796QCNO7dk/r6Y78d8c5fX8rratnumjp16uisrKySSI+pU6eODta78847C3Nzc4vLysqOXbx4cVaw/P3330+fPHlyU3B64sSJLSkpKbpq1ar09957Ly05OVknT57cEpw/efJk7wcffJARq/h7ossWu6q6AETkDVX9XO+HZIwx5kjw9nNPFfrb2g5oYPrb2lxvP/dUYaxa7UuWLFnfVZ277777k9LS0qb09HSdN29e3oUXXjh62bJlayZOnNji9XqTcnJy/KH1MzMz/XV1dUnJycnq8XjaQ+fl5OT4Gxoakoijbh9jt6RujDEmloIt9e6W95Zp06Y15ubmtmdkZOgNN9xQW1ZW1vDCCy/kALjdbn99ff0BubKxsTEpJyfHn5WV5W9sbDxgXn19fVJmZuYBPwT6WrcvKSsib+JcC/4gqjolZhEZY4w5IngG5LZGSuKeAbmtsXqOKVOmjKmsrMyMNK+8vLxh6dKl68LLRQRVJ92NHz+++d13391/Z9M1a9aktra2yqRJk5qTkpLw+Xzy3nvvpR133HEtAO+++27Gscce2xS+zr4UzU1g5oVNHwVcDTwZu3CMMcYcKT4742vVrz/22xGh3fFJKSntn53xtepYPUekxB1q165dSW+88Ybn3HPP3ZeSkqLz5s3LW758eeaDDz64GeCKK66o/fznPz/+lVdeyTz55JO9N998c+HZZ5+9Nzc3tx3g7LPP3vvDH/6wYMGCBZvefvvtjL/97W8DlixZ8kFw/V6vV3w+nwA0NzeL1+sVt9sdsZEcK9HcBOax8DIR+QPwO+AnsQzKGGNM4gseR4/nqPjW1la57bbbCi+77LJ0l8ulo0aNal64cOGG4IC48vLy5l/84hebrrzyypF79+5NPvnkk+sXLly4Mbj8I488suniiy8uGjJkSPGAAQN899xzz+by8vL9Z4t5PJ6y/dtbUjIJQFVX9OY2SbC7oUcLi2QA21U1J3Yh9Ux5eblWVlbGOwxjjDmsiMgKVS0/lHVUVVVtLC4u3hWrmEzXqqqq8ouLi4sizYvmGPtVYUVu4CvA2z0PzRhjjDGxFM0x9kvDphuBfwL3xy4cY4wxxhyKaI6xT+3NQIwxxhhz6KJpsSMiY4CvAgXAVuAZVe10xKExxhhj+k40d3ebBawEJuN0wx8H/CdQbowxxph+IJq7u/0UOE9VL1TVH6jqRcB5wOzuLCwieSLyvIg0isimrn4QiEiqiLwvIp9EEaMxxhhzRIumKz4L+FdY2duAp5vL/wZoBYYAJcCLIlKlqqs7qP99oCbwvMYYY4zphmha7PcBs0UkHfafw/6/gfJOiYgHmA7coqoNqvoW8CcOHmkfrD8SuAS4K4r4jDHGmCNepy12EdnCp9eHF5zLyH5bRPYAuYGybXSdgMcCPlVdG1JWBXR0Y5kHgB8CnV5vV0SuAa4BGD58eBchGGOMMYmvqxb7JTit6ksD/58BnIkzMv7MwHTEVneYTKA+rKyOCN3sIvJlIElVn+9qpar6sKqWq2r5oEGDuhGGMcYYc6DZs2cPmjRp0vjU1NSy6dOnF4XPX7RoUdbIkSMnZmRklJ544olj165du//GNU1NTTJz5syizMzM0vz8/OLbb799SHeXnTdvXm5paemxGRkZpSeccMK4WG1Pp4ldVd/ozqMbz9MAZIeVZQP7QgsCXfY/B74VzUYYY4wxPVVYWNhWUVGxbebMmQddFnfbtm3Jl1xyyTG33HLL1tra2ndKSkq8M2fOHBWc/73vfa/go48+Svv444/f/ctf/vLhgw8+eNRzzz2X3Z1l8/Pzfddff/2O66+/fnsstyeq89iDRKReVcMTdWfWAskiMibkvPdiIHzg3BigCHhTRABSgRwR2Q58VlU39iReY4wx/VPD21vz6v++pbB9X2uqKyu1Nfv0YdWZny3os5vAAFx++eV7AZYvX+6urq4+4DayCxYsGDB69Ojmq666ag/APffcs3Xw4MElK1euTC8tLW1+9tlnB86dO3fjoEGD/IMGDfJffPHFNfPnz8+fMWNGfVfLXnDBBfsA7rvvvvxYbk80g+dCSTSVVbUR+CPwExHxiMgpwJeAJ8KqrgKG4YyaLwG+DuwI/L+lh7EaY4zphxre3pq3d/HHI9r3taYCtO9rTd27+OMRDW9vzYvVc0ydOnV0VlZWSaTH1KlTR3e1/OrVqzMmTJjgDU5nZ2e3Dxs2rKWqqiq9pqYmqaamJuX444/fP7+kpKRp7dq16V0tG6vti6RHLfYeug54FNgJ1ALfUNXVInIa8LKqZqqqD9jfJSEiu4F2VY1pN4Uxxpj4q//7lkJ87Qc2MH3trvq/bymMVat9yZIl6w9l+cbGRld+fr4vtCwrK8tfX1+fVFdX5wIYOHCgPzhvwIAB/sbGxqSulj2UmLrS08Q+IdoFVHU3cEGE8jdxBtdFWuZ14Ohon8sYY0z/F2ypd7c8HjweT3t4Im5oaHBlZ2f7c3Jy2gH27NmT5Ha7fQB1dXUuj8fj72rZ3oy50654ERkV6QGkhE0bY4wxUXFlpbZGU94TU6ZMGeN2u0sjPaZMmTKmq+UnTpzYtGbNGndwur6+3rVly5a04uLi5sBx9bZly5btn//OO++4x44d29zVsrHavki6Osa+HlgX+NvRw24CY4wxJmrZpw+rJtnVfkBhsqs9+/Rh1bF6jqVLl67zer0rIz2WLl26DqCtrQ2v1yt+v1/8fr94vV5pa2sDYNasWXvXrVuXPn/+/AFer1cqKiqGjh07tqm0tLQZYMaMGbWzZ88eWlNTk7Ry5cr0BQsW5F9xxRW7urOsz+fD6/WKz+eT9vZ2vF6vtLS0RDWGLZKuTndzqWpS4G9Hj149VmCMMSYxZX62YPeAL4zcFGyhu7JSWwd8YeSmvh4VX1FRUeDxeMrmzJlz1KJFi/I8Hk9ZRUVFAUBBQYHviSee2HDHHXcU5uXlla5YsSLzmWee+Si47L333ru1qKioZeTIkZPPOOOMcddff/2OGTNm1Hdn2Tlz5gwMPNfwFStWZHo8nrJZs2aNONTtEVXtutZhoLy8XCsrK+MdhjHGHFZEZIWqlh/KOqqqqjYWFxcfdA646T1VVVX5xcXFRZHmdXVJ2Tf59JKyHVLVKT0LzRhjjDGx1NWo+Hl9EoUxxhhjYqLTxK6qj4VOi8gQ4AQgnygvUmOMMcaY3tft89hF5AKcK8WtBybiXA52EvAWzoVnjDHGGBNn0VxS9qfAVapaCjQG/l4DrOiVyIwxxhwu2tvb260Xt48E9nWHF7mJJrEPV9Vnw8oeAy7rSWDGGGMSxqqampocS+69S1VpaWlJ2bRp0wCc3vKIormk7E4RGaKqO4CNInISsAuw89iNMeYI5vP5vr59+/Z527dvn0TPby5mutYuInV+v//X7e3tD3VUKZrE/lvgVOAPwP3AEqAduPeQwjTGGHNY+8xnPrMT+GK84zCObid2Vf1ZyP+Pi8jrgEdV3++NwIwxxhgTvR7ftlVVN8cyEGOMMcYcOjsWYowxxiQQS+zGGGNMArHEbowxxiQQS+zGGGNMArHEbowxxiQQS+zGGGNMArHEbowxxiQQS+zGGGNMArHEbowxxiQQS+zGGGNMArHEbowxxiSQHl8rPhG0tyu1jS20+pW0JBcDM1MRsdsJH27am5rw19XRunkzKYWFJGVnk5SVFe+wjDEmLo7YxO73t7NpVyPeuhayU5L4pMVH0yA3wwZ64h2aiYL6/TQuW8Yn3/5/pAzMw7erlsEVFQz48gW4MjLiHR4A7e3tuFzWOWZir7Wlleb6fbhSkskckBPvcEw/ccQm9rqmNvIbfTQ+twF/fStDBqbjuWgce9JbyfWkxju8fqu52Uuzt4G0dDcZ7sx4h4N/9272raii8PmXaSOJZJfS9OqL+Ovr457Y61vq8dbuwOVX/LTjHjSUnHT78u1MQ0M9tLfTru1k5+TFO5x+rWHPXqr+9grbPlxFSkYGJ824mNyhBaSk2vfXke6ITeweXzu1Cz+kvaENAH9tM95n1zHgqglxjqz/qt+9i/XL/kWSJuMXP8ccfyI5AwfFNSZNSmbAJVfA3jZ8H+4haUQWOV+Zia+9lZQ4xtXib4E9XnJc+ai4EBe07tzHvnzIcltyj6Rpbz3saaHlgz0kDU6nuSgZV1Yaqalp8Q6t32lrbWPLe+8ysfw0jh1+PK6sVPZs3Ua6J5OU/Px4h2firM8Su4jkAY8AZwG7gJtVdWGEet8HLgdGBOrNUdV7Yh2Py9e+P6kH+XZ6SVaN9VMlhPq63fjrmhnhOpb2zc1IQSrt+1rZl1RL1oCBcYurPTmd1sptNLxWDYD3H9tILxlI1tkj4hYTgL+hkfS0bBre3Err2r0kD/WQffYIfC1t4I5raP1SU1MjbRv2Uf/sR/vLWsfsIWf6aLDEfpCWxgYKh45l36Mb0LZ2ADLHD8BVZGOETN+Oiv8N0AoMAS4GHhKRiRHqCXAZkAucA3xTRC6KdTCaJLgyD2zTJQ92067tsX6qhJDSnoLvH3U0vbadlvV7aV66k7a/15LSHs92MYhfaXxz2wFlzVW1uDS+X3BJpFP/8ka8/9yGb1cTze/tYvf8NSRrfPdXf+VqUryvbT2grHVdPdJqP7QjSdYUWpbs3J/UAVrf30sK1g1v+iixi4gHmA7coqoNqvoW8Cfg0vC6qvpzVf2PqvpU9UNgEXBKrGNq8TfimT6MpBzng5A8MJ2M/xpKKy2xfqqEkEwSLat3H1DWuq6OpH5wNOegThaNUNbHpF1oXlV7QJlvVxP4LVFFIsgBSWo/210RiQj+fa0HlavXF4doTH/TVy32sYBPVdeGlFUBkVrs+4lz7tlpwOoO5l8jIpUiUllTUxNVQKLKv5Y8i/9sNxlXDaflc0kse/15pN1a7JEJkhL2dkkSiPPpgb5kP+4TBx9QljY+l/Ykf5wiCtB2krLDupBdgiRZV2kk7cmC59SCA8qSh7gh1c4miETcKbjLhxxQ5nInk5Rnhy1M3x1jzwTqw8rqgK5ONr4d58fH7yLNVNWHgYcBysvLo/ttn+yh9NyZvP3Hx9mxYS1HT5hM+RcuQpPtAGgkfgHPtGE0vLJpf5nntEL8QlwHqTW7ksk4bSgpwzy0rd1H0rAM0scPZF+yn/Q4xuVLUzL/azh1C9ZDu/PWdH/+KHwuX1z3V3/lT0khdeJAcnPTaK7aRfJRbtJLBuOXOP9A66dS2/Yi40CSR+L9Tw1JA9LIPnsYruZNwPh4h2firK8SewOQHVaWDezraAER+SbOsfbTVDXm/eN+v4uXHvqY8ad8mXEnp1Bb3cqffr2Oi245IdZPlRBSMtPwFuWQedUk/NX7SBqaiT/NRZI7vsf0fH7hN8s+4tKTCtER4EpO5dl3N/GFSSPjGldKuhst8DPw28fRsr2e1HwPLncyrWnp9I+z6/sXT0YKexoaST06k+S8VJLTU2j2tyJpHttfkSSlkvzXa8lMz8U97RKkfhOuJ6fDZYviHZnpB/oqsa8FkkVkjKquC5QV03EX+1XATcAUVf2kNwJKTnbha/Wz4uVPB+xk5qYhLusqjSQp2UXmEA/Nja00omTmppPpSSElNSmucQ1wpzIiL5fT7l7G4Ow0djW0cPWpI8lMi++x/5QkF950N4200TzYQ0pKCp7UNPIybHBTR9wDsqhrbmNvkgu3S8jMcJOTYf0bEWUMQM65Cx45k6TVzzllJZeA2051MyDaR6OMRORpnKEwXwdKgJeAk1V1dVi9i4F7gamq+n53119eXq6VlZXdjsfX5mfLmt28Om81/rZ2UtKS+MINxQwdlWPJ/TBT39TGroYWVmzaw8TCHApy0hkQ554EY3qd3wfeXbD7Y/Dkg3sguKO/qI+IrFDV8l6I0MRJXyb2POBR4EygFrhJVReKyGnAy6qaGaj3MXA0HDA8/UlVvbaz9Ueb2AF8rX5avD5am32kZiST7kkmKTm+LVBjjOlLltgTT5/1V6rqbuCCCOVv4gyuC0732cHR5NQkklOT8GAjSY0xxiQGO5fEGGOMSSCW2I0xxpgEYondGGOMSSCW2I0xxpgEYondGGOMSSCW2I0xxpgEYondGGOMSSCW2I0xxpgEYondGGOMSSCW2I0xxpgEYondGGOMSSCW2I0xxpgEYondGGOMSSCW2I0xxpgEYondGGOMSSCW2I0xxpgEYondGGOMSSCW2I0xxpgEYondGGOMSSCW2I0xxpgEYondGGOMSSCW2I0xxpgEYondGGOMSSCW2I0xxpgEYondGGOMSSCW2I0xxpgEYondGGOMSSCW2I0xxpgEYondGGOMSSCW2I0xxpgE0meJXUTyROR5EWkUkU0iMquDeiIiPxOR2sDjZyIifRWnMcYYczhL7sPn+g3QCgwBSoAXRaRKVVeH1bsGuAAoBhT4K/AxMLcPYzXGGGMOS33SYhcRDzAduEVVG1T1LeBPwKURql8O3Kuqn6hqNXAvcEVfxGmMMcYc7vqqxT4W8Knq2pCyKuBzEepODMwLrTcx0kpF5BqcFj5Ag4h82MP48oFdPVy2N/XXuKD/xmZxRcfiik4ixjUiloGY+OurxJ4J1IeV1QFZHdStC6uXKSKiqhpaUVUfBh4+1OBEpFJVyw91PbHWX+OC/hubxRUdiys6Fpc5HPTV4LkGIDusLBvY14262UBDeFI3xhhjzMH6KrGvBZJFZExIWTEQPnCOQFlxN+oZY4wxJkyfJHZVbQT+CPxERDwicgrwJeCJCNUfB74rIoUiUgDcCMzv5RAPuTu/l/TXuKD/xmZxRcfiio7FZfo96asebhHJAx4FzgRqgZtUdaGInAa8rKqZgXoC/Az4emDReUCFdcUbY4wxXeuzxG6MMcaY3meXlDXGGGMSiCV2Y4wxJoEc0YldRNJE5JHAtev3icg7InJuvOMCEJEnRWSbiNSLyFoR+XrXS/UNERkjIs0i8mS8YwkSkdcDMTUEHj29WFHMichFIvJ+4D4JGwLjSuIZT0PYwy8iD8QzpiARKRKRl0Rkj4hsF5EHRaQvL33dUVzjReQ1EakTkfUi8uU4xfFNEakUkRYRmR8273QR+UBEvCKyRETswjNHqCM6seNcoGcLzhXwcoAfA8+ISFEcYwq6CyhS1Wzgi8BPReQzcY4p6DfA8ngHEcE3VTUz8BgX72AARORMnMGgV+JckGkK8FE8YwrZR5nAUUAT8Gw8YwoxB9gJDMW5p8TngOviGVDgh8UiYDGQh3O1yydFZGwcwtkK/BRnIPJ+IpKPc+bRLTgxVgK/7/PoTL9wRCd2VW1U1dtVdaOqtqvqYpwbzsQ9garqalVtCU4GHsfEMSTAaX0Ce4G/xzuWw8QdwE9U9e3Ae6w6cA+E/mI6TiJ9M96BBIwEnlHVZlXdDrxCB5eU7kPHAgXA/arqV9XXgH8Q+V4XvUpV/6iqL+CcWRTqK8BqVX1WVZuB24FiETm2r2M08a0BmQMAAAfiSURBVHdEJ/ZwIjIE57r2/eKCOCIyR0S8wAfANuClOMeTDfwE+G484+jEXSKyS0T+ISKfj3cwIpIElAODAt23nwS6ljPiHVuIy4HH+9HppL8ELhIRt4gUAufiJPf+RoBJ8Q4ixAH32AhcO2QD8f9RZOLAEnuAiKQAC4DHVPWDeMcDoKrX4XTfnobTzdbS+RK97k7gEVX9JM5xRFIBjAIKcS7W8WcRiXcPxxAgBZiB8xqWAKU4h3ziLnAM9nPAY/GOJcRSnGRUD3yC06X8Qlwjgg9xejW+LyIpInIWzn5zxzesA4TfYwM6vh+HSXCW2AERceFcBa8V+GacwzlAoOvvLeBo4BvxikNESoAzgPvjFUNnVPXfqrpPVVtU9TGcrtLz4hxWU+DvA6q6TVV3AfcR/7iCLgXeUtWP4x0I7P8cvoLzI9aDc8eyXJwxCnGjqm3ABcD5/7+9+4/VsqzjOP7+DBzEjyJ+5VhKP0hXOaI/UNfaclLDjFqLrcmwYmuVrtko2DIiZwStVnPaWGFWsDINZ7lZzc21+kP7MSOT0ypDBeoYQzDBQMUIPv1xXafuc3o8Hhg793Oe83ltz3Y/z3Nf133dz6/vfV/X9dxfYD/laph3UA48usWp5OOIHjfuA3u90t23KWdXy+uXuBtNpN0x9kuAVwF/k7QfWAssl/Rgi20ajindpe01wD5E+fFvdnN3S5c3wAfprrP1mcC5wOZ6gPYPYCtdcCBku8/222zPsr2U0jv0QNvtahiUY0PSVMrvRVcMK8boGveBHfgG8Hrg3bafe7GVR4OkufUvUtMkTZC0FFhBuxPWvkn5oVhUb1uAnwJLW2wTAJJmSFoqabKkiZJWUmafd8PY7Fbgmvqevhz4JGV2daskvYUybNEts+GpPRp7gKvr+ziDMgegr92WgaSF9fM1RdJayqz9bS20Y6KkycAEYMLAZx64C7hA0vL6/HVAX7cMK8boGteBvY4xfowSqPY3/te7suWmmdLt/jhwCPgqsNr23a01yH7W9v6BG6Xr75jtg221qeEsyl+ADgJPAtcA77W9q9VWFV+g/DVwF/Bn4PfAplZbVHwI+JHtbuuqfR9wGeW9fBQ4TjkYatsHKBNYDwBLgHc0/rUymtZThniuBa6sy+vr93A55bN1CLgIuKKF9kUXyLXiIyIiesi4PmOPiIjoNQnsERERPSSBPSIioocksEdERPSQBPaIiIgeksAeERHRQxLYY1yTtFfS21vc/tWSnqjXT5jV4fktkj7XRtsiYmya2HYDIsarmnjoBuBi2zs7rWP7qtFtVUSMdTljjzgD6mU9T9UrgMnket4RcQYlsEdXql3kayX1SXpa0vZ6XexVku4fsq4lLajL22oe+3tq9/YvJZ0t6UZJhyQ9LOnNQza3WNKf6vNb67W2B+peJukhSYcl/UrSwiFt/LSkPuCZTsFd0qS67X31dmN97DxKOlCAw5J+/gKvwzZJG+vybEk/qW15StJ9NSMatR1/l3RE0l8kLRlavt6/RNLjjfvzJP1Q0kFJeyR9ovHchZJ2SPpnHS64Yfh3LSK6QQJ7dLP3U64b/mpgIbDqFMqtp6T9fB74NfBgvX8npfu7aSUlmc1rgfNqWeoBwHco+QRmATcDd0ua1Ci7gpLOc4btf3doy2eBiyn5CN4EXEi5tvcuSt5xatlLR7Bfayj5A+ZQzvbXAZZ0PiXd8GLb0+u+7H2xyupBwY+BnZSEMEuA1TXpEMBNwE22X0p5be4YQRsjomUJ7NHNvmZ7n+2nKAFo0QjL3WX7d7aPUbJeHbP9XdsngO3A0DP2zbb763Y2UYI1wEeBm2uu9xM1z/vzlEDdbGP/MJkBVwIbbB+oiTo+T0kocjqOU7KKzbd93PZ9LskeTgCTgDdIOsv2XtuPjaC+xcAc2xts/8v2buAW/pc85DiwQNJs20dt/+Y02x0RoyiBPbrZ/sbys8C0EZZ7orH8XIf7Q+vpbyz/FZhXl+cDa2rX92FJh4FzGs8PKitpZSND4D314Xm1zk71DyJpXaP8lg6rfIWS8exeSbslXQtg+1FgNXA9cEDSDyR13MYQ84F5Q/ZvHaU3AODDlB6MhyX9VtKyEdQZES1LYI+x5hlgysAdSWefgTrPaSyfC+yry/3AJtszGrcptm9vrP/f9Ii2v297Wr29sz68jxJAO9U/iO0vNsr/32x420dsr7H9GuA9wKcGxtJt32b7rXVbBr5ciw16vYDm69UP7Bmyf9NtX17rfMT2CmBure9OSVM7tT0iukcCe4w1O4E3SlpUJ7ldfwbq/LikV0qaSRkT314fvwW4StJFKqZKepek6adQ9+3AeklzJM0GrgNuPZ1G1ol8CyQJeJrSBX9S0vmSLq1j/8covRIna7GHgMslzawHQasbVT4AHKkT714iaYKkCyQtrtu7UtIc2yeBw7XMSSKiqyWwx5hSJ51tAH4GPALcP3yJEbkNuBfYDTwGbKzb2gF8BNgMHKJ0g686xbo3AjuAPuAPlEl8G4ct8cJeR9nvo5QJgV+3/QvK+PqXgCcpwxdzgc/UMt+jHAztpezjwEELdc7BMsrchT21/LeAl9VVLgP+KOkoZSLdFcPMJYiILqEy9yYiIiJ6Qc7YIyIiekgCe0RERA9JYI+IiOghCewRERE9JIE9IiKihySwR0RE9JAE9oiIiB6SwB4REdFD/gOi2wWX5P9rUwAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "### all but prop8 issue\n", + "plot_WL_vs_n_issues(adf_8_1p1v, \n", + " '1p1v wellfare loss vs n_issues - all but prop8 issue', \n", + " hue='n-voters',\n", + " ylim=(0,1.1),\n", + " WL_col = \"all-but-pop8-WL\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## QV Wellfare loss" + ] + }, + { + "cell_type": "code", + "execution_count": 380, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### WL vs Number of Voters" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true + }, + "source": [ + "#### Avg WL of all issues" + ] + }, + { + "cell_type": "code", + "execution_count": 381, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_voters(adf_8_qv, \n", + " 'QV avg. wellfare loss vs n_voters - 1 prop8 calibration and rest normal $\\mu=0$', \n", + " hue='num_issues',\n", + " ylim=(0,1))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### WL of Just Prop8 and all but. \n", + "\n", + "This shows a surprising behvaior for issues above 6: WL increases with number of voters up to around 1000 voters and then decreases again. Why?" + ] + }, + { + "cell_type": "code", + "execution_count": 382, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_voters(adf_8_qv, \n", + " 'QV wellfare loss vs n_voters - just prop8 issue', \n", + " hue='num_issues',\n", + " ylim=(0,1),\n", + " WL_col = \"Prop8-WL\")" + ] + }, + { + "cell_type": "code", + "execution_count": 385, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_voters(adf_8_qv, \n", + " '1p1v wellfare loss vs n_issues - all but prop8 issue', \n", + " hue='num_issues',\n", + " ylim=(0,0.25),\n", + " WL_col = \"all-but-pop8-WL\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Wellfare vs number of issues" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true + }, + "source": [ + "#### Avg of all issues" + ] + }, + { + "cell_type": "code", + "execution_count": 386, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_issues(adf_8_qv, \n", + " 'QV avg. wellfare loss vs n issues, 1 Prop8 and rest $\\mu=0$', \n", + " hue='n-voters',\n", + " ylim=(0, 0.7))\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Just Prop8 issue and all but (plot for figure)" + ] + }, + { + "cell_type": "code", + "execution_count": 478, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# plot_WL_vs_n_issues(adf_8_qv, \n", + "# 'QV avg. wellfare loss vs n issues, just Prop8', \n", + "# hue='n-voters',\n", + "# ylim=(0, 1.1),\n", + "# WL_col = \"Prop8-WL\")\n", + "\n", + "# plot_WL_vs_n_issues(adf_qv, 'QV wellfare loss vs n issues, $\\mu=0$', hue='n-voters')\n", + "\n", + "\n", + "f, ax = plt.subplots(figsize=(4, 3))\n", + "sns.lineplot(x=\"number-of-issues\", \n", + " y=\"Prop8-WL\",\n", + " hue='n-voters',\n", + " style='QV?',\n", + " markers=True,\n", + " ax = ax,\n", + " data = adf_8_qv[adf_8_qv['number-of-voters'].isin([11, 101, 1001, 10001])])\n", + "\n", + "ax.set(ylim=(0, 1), \n", + " xlabel = \"Number of issues\",\n", + " ylabel=\"Prop8 Wellfare Loss\")\n", + "\n", + "\n", + "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n", + "plt.savefig('figures/mQV_WL_vs_n_issues_prop8.png', bbox_inches='tight', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 389, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_issues(adf_8_qv, \n", + " 'QV avg. wellfare loss vs n issues, all but prop8', \n", + " hue='n-voters',\n", + " ylim=(0, .25),\n", + " WL_col = \"all-but-pop8-WL\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Wellfare loss of QV and 1p1v in multi-issue voting -- all utilities from normal distrubution with $\\mu=0$ except for one with Prop8 Calibration using normal distrubitons" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Dataframe prep" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'df2' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mdf_prop8\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mload_csv_to_dataframe\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'2020.02.22-multi-issue-QV-non-strategic-voting-prop8-normal-dists.csv'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0;31m# checking that mean-WL is 0 whenever maximial-utility? is True and is >0 when maximal utility is false\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mall\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf_prop8\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'maximal-utility?'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m \u001b[0mmu\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mmu\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mceil\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf2\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'mean-WL'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;31mNameError\u001b[0m: name 'df2' is not defined" + ] + } + ], + "source": [ + "df_prop8 = load_csv_to_dataframe('2020.02.22-multi-issue-QV-non-strategic-voting-prop8-normal-dists.csv')\n", + "# checking that mean-WL is 0 whenever maximial-utility? is True and is >0 when maximal utility is false\n", + "all(df_prop8['maximal-utility?'].apply(lambda mu: not mu) == np.ceil(df2['mean-WL']))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "df_prop8['Prop8-WL'] = df_prop8['WL-per-issue'].apply(lambda ar: ar[0])\n", + "df8_qv = df_prop8[df_prop8['QV?'] == True]\n", + "df8_1p1v = df_prop8[df_prop8['QV?'] == False]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1p1v Wellfare loss" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'df8_1p1v' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0madf_1p1v\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0maggregate_by_num_voters_num_issues\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf8_1p1v\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;31mNameError\u001b[0m: name 'df8_1p1v' is not defined" + ] + } + ], + "source": [ + "adf_1p1v = aggregate_by_num_voters_num_issues(df8_1p1v)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 1p1v wellfare loss vs number of voters" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Avg WL of all issues" + ] + }, + { + "cell_type": "code", + "execution_count": 319, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_voters(adf_1p1v, \n", + " '1p1v avg. wellfare loss vs n_voters - 1 prop8 normal-dist calibration and rest normal $\\mu=0$', \n", + " hue='num_issues',\n", + " ylim=(0,1))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### WL of Prop8 Issues" + ] + }, + { + "cell_type": "code", + "execution_count": 322, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_voters(adf_1p1v, \n", + " '1p1v wellfare loss vs n_voters - just prop8 normal-dist issue', \n", + " hue='num_issues',\n", + " ylim=(0,1.1),\n", + " WL_col = \"Prop8-WL\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 1p1v wellfare loss vs number of issues" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Avg of all issues" + ] + }, + { + "cell_type": "code", + "execution_count": 323, + "metadata": { + "code_folding": [ + 0 + ] + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_issues(adf_1p1v, \n", + " '1p1v avg. wellfare loss vs n issues, 1 Prop8 normal-dist and rest $\\mu=0$', \n", + " hue='n-voters',\n", + " ylim=(0, 0.7))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Just Prop8 issue" + ] + }, + { + "cell_type": "code", + "execution_count": 324, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_issues(adf_1p1v, \n", + " '1p1v avg. wellfare loss vs n issues, just Prop8 normal-dist', \n", + " hue='n-voters',\n", + " ylim=(0, 1.1),\n", + " WL_col = \"Prop8-WL\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## QV Wellfare loss" + ] + }, + { + "cell_type": "code", + "execution_count": 325, + "metadata": {}, + "outputs": [], + "source": [ + "adf_qv = aggregate_by_num_voters_num_issues(df8_qv)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### WL vs Number of Voters" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Avg WL of all issues" + ] + }, + { + "cell_type": "code", + "execution_count": 326, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_voters(adf_qv, \n", + " 'QV avg. wellfare loss vs n_voters - 1 prop8 calibration normal-dist and rest normal $\\mu=0$', \n", + " hue='num_issues',\n", + " ylim=(0,1))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### WL of Just Prop8\n", + "\n", + "This shows the same surprising behavior as for the flat distrubtion prop8 WL vs number of voters, but the WL peak occurs with slightly fewer voters and it happens with number of issues >= 4 intead of 6. " + ] + }, + { + "cell_type": "code", + "execution_count": 327, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_voters(adf_qv, \n", + " 'QV wellfare loss vs n_voters - just prop8 normal-dist issue', \n", + " hue='num_issues',\n", + " ylim=(0,1),\n", + " WL_col = \"Prop8-WL\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Wellfare vs number of issues" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Avg of all issues\n" + ] + }, + { + "cell_type": "code", + "execution_count": 328, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_issues(adf_qv, \n", + " 'QV avg. wellfare loss vs n issues, 1 Prop8 normal-dist and rest $\\mu=0$', \n", + " hue='n-voters',\n", + " ylim=(0, 0.7))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Just Prop8 issue" + ] + }, + { + "cell_type": "code", + "execution_count": 330, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_issues(adf_qv, \n", + " 'QV avg. wellfare loss vs n issues, just Prop8 normal-dist', \n", + " hue='n-voters',\n", + " ylim=(0, 1.1),\n", + " WL_col = \"Prop8-WL\")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true + }, + "source": [ + "# Wellfare loss of QV and 1p1v in multi-issue voting --all issues with Prop8 Calibration using flat distributions" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "## Dataframe prep\n" + ] + }, + { + "cell_type": "code", + "execution_count": 340, + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [ + "df_all_prop8 = load_csv_to_dataframe('2020.02.22-multi-issue-QV-non-strategic-voting-all-issues-prop8-flat-dists.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 341, + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [ + "df8_qv = df_all_prop8[df_all_prop8['QV?'] == True]\n", + "df8_1p1v = df_all_prop8[df_all_prop8['QV?'] == False]" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "## 1p1v Wellfare loss" + ] + }, + { + "cell_type": "code", + "execution_count": 348, + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [ + "adf_1p1v = aggregate_by_num_voters_num_issues(df8_1p1v)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "### 1p1v avg wellfare loss vs number of voters" + ] + }, + { + "cell_type": "code", + "execution_count": 349, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_voters(adf_1p1v, \n", + " '1p1v avg. wellfare loss vs n_voters - all prop8', \n", + " hue='num_issues',\n", + " ylim=(0,1))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "### 1p1v avg wellfare loss vs number of issues" + ] + }, + { + "cell_type": "code", + "execution_count": 346, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_issues(adf_1p1v, \n", + " '1p1v avg. wellfare loss vs n issues, all Prop8', \n", + " hue='n-voters',\n", + " ylim=(0, 1.1))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "## QV Wellfare loss" + ] + }, + { + "cell_type": "code", + "execution_count": 347, + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [ + "adf_qv = aggregate_by_num_voters_num_issues(df8_qv)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "### QV avg wellfare loss vs number of voters" + ] + }, + { + "cell_type": "code", + "execution_count": 350, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_voters(adf_qv, \n", + " 'QV avg. wellfare loss vs n_voters - all prop8', \n", + " hue='num_issues',\n", + " ylim=(0,1))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "### 1p1v avg wellfare loss vs number of issues" + ] + }, + { + "cell_type": "code", + "execution_count": 351, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_issues(adf_qv, \n", + " 'QV avg. wellfare loss vs n issues, all Prop8', \n", + " hue='n-voters',\n", + " ylim=(0, 1.1))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.3" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/data-analysis/analysis-for-css2020/Jacob - QV vs 1p1v (on single referendum).ipynb b/data-analysis/analysis-for-css2020/Jacob - QV vs 1p1v (on single referendum).ipynb new file mode 100644 index 0000000..6d5efc0 --- /dev/null +++ b/data-analysis/analysis-for-css2020/Jacob - QV vs 1p1v (on single referendum).ipynb @@ -0,0 +1,3152 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "\n", + "import matplotlib \n", + "font = {'size' : 12}\n", + "matplotlib.rc('font', **font)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Wellfare Loss - Single Normal Distribution $\\mu=0$ " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## The data" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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[run number]number-of-votersminority-fractionmajority-mean-utilitymajority-utility-stdevminority-mean-utilityminority-utility-stdevmarginal-pivotalityvariance-of-pplimit-votes?...voting-mechanism[step]mean payoff-sign-listmean payoff-liststandard-deviation payoff-listmean vote-sum-liststandard-deviation vote-sum-listmean mean-median-same-sign-listwellfare-losscolor
02100031010.50.0003False...QV10000.9857.5114025.709273-0.0163894.7180800.8240.015blue
11100031010.50.0003False...1p1v10000.7805.4257467.0524330.0060003.0863390.8230.220blue
23100031010.50.0010False...1p1v10000.7635.3397387.693429-0.2140003.1673710.8000.237blue
35100031010.50.0100False...1p1v10000.7996.0652357.439300-0.0320003.2275990.8280.201blue
44100031010.50.0010False...QV10000.9767.4247935.6440160.2416494.6787080.8190.024blue
\n", + "

5 rows × 21 columns

\n", + "
" + ], + "text/plain": [ + " [run number] number-of-voters minority-fraction majority-mean-utility \\\n", + "0 2 10 0 0 \n", + "1 1 10 0 0 \n", + "2 3 10 0 0 \n", + "3 5 10 0 0 \n", + "4 4 10 0 0 \n", + "\n", + " majority-utility-stdev minority-mean-utility minority-utility-stdev \\\n", + "0 3 10 1 \n", + "1 3 10 1 \n", + "2 3 10 1 \n", + "3 3 10 1 \n", + "4 3 10 1 \n", + "\n", + " marginal-pivotality variance-of-pp limit-votes? ... voting-mechanism \\\n", + "0 0.5 0.0003 False ... QV \n", + "1 0.5 0.0003 False ... 1p1v \n", + "2 0.5 0.0010 False ... 1p1v \n", + "3 0.5 0.0100 False ... 1p1v \n", + "4 0.5 0.0010 False ... QV \n", + "\n", + " [step] mean payoff-sign-list mean payoff-list \\\n", + "0 1000 0.985 7.511402 \n", + "1 1000 0.780 5.425746 \n", + "2 1000 0.763 5.339738 \n", + "3 1000 0.799 6.065235 \n", + "4 1000 0.976 7.424793 \n", + "\n", + " standard-deviation payoff-list mean vote-sum-list \\\n", + "0 5.709273 -0.016389 \n", + "1 7.052433 0.006000 \n", + "2 7.693429 -0.214000 \n", + "3 7.439300 -0.032000 \n", + "4 5.644016 0.241649 \n", + "\n", + " standard-deviation vote-sum-list mean mean-median-same-sign-list \\\n", + "0 4.718080 0.824 \n", + "1 3.086339 0.823 \n", + "2 3.167371 0.800 \n", + "3 3.227599 0.828 \n", + "4 4.678708 0.819 \n", + "\n", + " wellfare-loss color \n", + "0 0.015 blue \n", + "1 0.220 blue \n", + "2 0.237 blue \n", + "3 0.201 blue \n", + "4 0.024 blue \n", + "\n", + "[5 rows x 21 columns]" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.read_csv('2020.01.31 - QVoting-NormalizedPivotality 1p1v-vs-QV-mean=0-agg.csv')\n", + "\n", + "def color(x):\n", + " if x == 3:\n", + " return 'blue'\n", + " else:\n", + " return 'orange'\n", + "\n", + "df['wellfare-loss'] = 1 - df['mean payoff-sign-list']\n", + "df['color'] = df['majority-utility-stdev'].apply(color)\n", + "df.rename(columns={'variance-of-perceived-pivotality': 'variance-of-pp'}, inplace=True)\n", + "df[0:5]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Wellfare loss of 1p1v vs number of voters" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "mean wellfare loss: 0.2083770833333333\n" + ] + } + ], + "source": [ + "adf = df[(df['voting-mechanism'] == \"1p1v\")].groupby(['number-of-voters', 'majority-utility-stdev']).aggregate('mean').reset_index()\n", + "adf['utility-stdev'] = adf['majority-utility-stdev'].apply(lambda n: '=' + str(n))\n", + "\n", + "ax = sns.scatterplot(x=\"number-of-voters\", \n", + " y=\"wellfare-loss\", \n", + " hue='utility-stdev',\n", + " data = adf)\n", + "ax.set(xscale=\"log\", \n", + " ylim= (0, 0.25),\n", + " xlabel = \"number-of-voters (log scale)\")\n", + "\n", + "plt.plot([0, adf['number-of-voters'].max()], [adf['wellfare-loss'].mean()] * 2, 'k--', linewidth=1)\n", + "plt.title(\"1p1v wellfare loss vs n-voters, $\\mu=0$\")\n", + "plt.show()\n", + "print(\"mean wellfare loss: {}\".format(adf['wellfare-loss'].mean()))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true + }, + "source": [ + "## Wellfare loss of QV vs N Voters" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "### Wellfare loss vs number of voters for several marginal pivotalities" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "pdf = df[(df['voting-mechanism'] == 'QV') & (df['variance-of-pp'].isin([0, 0.01, 0.04, 0.083]))]\n", + "\n", + "ax2 = sns.lmplot(x=\"number-of-voters\", \n", + " y=\"wellfare-loss\", \n", + " hue='variance-of-pp',\n", + " data = pdf)\n", + "\n", + "ax2.set(xscale=\"log\", \n", + " ylim= (0, 0.25),\n", + " xlabel = \"number-of-voters (log scale)\")\n", + "\n", + "plt.title('QV wellfare loss vs n voters, $\\mu=0$')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "### Wellfare loss vs number of voters for each marginal pivotality" + ] + }, + { + "cell_type": "code", + "execution_count": 129, + "metadata": { + "hidden": true, + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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Mr8xpzdpEUpukuyR1BIutgacjYm2jNiWdkuu3rV69uqt9NzOzJg3t6w50YoeIWCVpJ+AOSYuAZ5qtHBHTgekAlUolWtRHM7NBr5V7JKuAsYXpMTmtKRGxKv9dBswF3g2sAbaU1BEAu9SmmZn1vFYGkvnA+HyV1TDgaGB2gzoASHqjpOF5fBtgb2BJRATwc6DjCq8TgB/2eM/NzKxpLQsk+TzGVGAO8AAwMyIWS5om6VAASbtJWgkcAVwqaXGu/nagTdJvSIHj/IhYkvM+D5wpqZ10zuTyVi2DmZk1pvQjf8NWqVSira2tr7thZjagSFoQEZVG5Xxnu5mZleJAYmZmpTiQmJlZKQ4kZmZWigOJmZmV4kBiZmalOJCYmVkpDiRmZlaKA4mZmZXiQGJmZqU4kJiZWSkOJGZmVooDiZmZleJAYmZmpTiQmJlZKQ4kZmZWigOJmZmV4kBiZmaltDSQSJokaamkdkln1cjfV9I9ktZKOryQvqukX0taLOk+SUcV8q6S9HtJC/OwayuXwczMOtcwkEj6hqQtJG0s6XZJqyUd10S9IcDFwMHABOAYSROqij0MTAFuqEp/Efh4ROwCTAL+XdKWhfzPRsSueVjYqC9mZtY6zeyRHBQRzwKHAMuBnYHPNlFvd6A9IpZFxCvADGBysUBELI+I+4B1Vem/i4gH8/gjwOPAqCbmaWZmvayZQDI0//0g8F8R8UyTbY8GVhSmV+a0LpG0OzAMeKiQfF4+5HWhpOF16p0iqU1S2+rVq7s6WzMza1IzgeS/Jf0WmAjcLmkU8KfWdiuRtB1wLXBiRHTstXwBeBuwG7AV8PladSNiekRUIqIyapR3ZszMWqVhIImIs4C9gEpE/Bl4gapDVHWsAsYWpsfktKZI2gL4MfDFiLir0J9HI3kZuJJ0CM3MzPpIMyfbjwD+HBGvSjobuA54cxNtzwfGS9pR0jDgaGB2M53K5X8AXBMRs6rytst/BRwG3N9Mm2Zm1hrNHNr6UkQ8J2kf4ADgcuA7jSpFxFpgKjAHeACYGRGLJU2TdCiApN0krQSOAC6VtDhXPxLYF5hS4zLf6yUtAhYB2wBfbXppzcysxykiOi8g3RsR75b0dWBRRNzQkdY7XSyvUqlEW1tbX3fDzGxAkbQgIiqNyjWzR7JK0qXAUcBP8lVSviPezMyA5gLCkaTDUx+IiKdJV0o1cx+JmZkNAs1ctfUi6R6OD0iaCmwbEbe2vGdmZjYgNHPV1qeA64Ft83CdpE+2umNmZjYwDG1chJOAPSLiBQBJFwC/Br7Vyo6ZmdnA0Mw5EgGvFqZfzWlmZmZN7ZFcCcyT9IM8fRjpXhIzM7PGgSQi/p+kucA+OenEiLi3pb0yM7MBo24gkbRVYXJ5Hl7Li4gnW9ctMzMbKDrbI1kABK+fD+m4BV55fKcW9svMzAaIuoEkInbszY6YmdnA5EedmJlZKQ4kZmZWigOJmZmV0lQgkbSPpBPz+ChJPn9iZmZAc8/aOof0XvQv5KSNSW9JNDMza2qP5MPAoaR3tRMRjwBvaGWnzMxs4GgmkLwS6TWKASBpRGu7ZGZmA0kzgWRmfkPilpJOBn4GXNZM45ImSVoqqV3SWTXy95V0j6S1kg6vyjtB0oN5OKGQPlHSotzmRZL8AEkzsz7UzIutvgnMAr4HvBX4ckQ0fIS8pCHAxcDBwATgGEkTqoo9DEwBbqiquxVwDrAHsDtwjqQ35uzvACcD4/MwqVFfzMysdTp9aGMOBj+LiPcBt3Wx7d2B9ohYltuaAUwGlnQUiIjlOW9dVd0PALd1PM9L0m3ApPzwyC0i4q6cfg3pacS3dLFvZmbWQzrdI4mIV4F1kkZ2o+3RwIrC9MqcVqbu6DzesE1Jp0hqk9S2evXqpjttZmZd08z7SJ4HFuW9ghc6EiPi9Jb1qgdExHRgOkClUokGxc3MrJuaCSTfz0NXrQLGFqbH5LRm6+5XVXduTh/TzTbNzKwFmnmx1dXdbHs+MD7fBb8KOBr4WJN15wBfK5xgPwj4QkQ8KelZSXsC84CP43fHm5n1qWbubB8vaZakJZKWdQyN6kXEWmAqKSg8AMyMiMWSpkk6NLe9m6SVwBHApZIW57pPAl8hBaP5wLTCi7Q+AXwXaAcewifazcz6lNK9hp0UkH5JuhT3QuBDwInARhHx5dZ3r2dUKpVoa2vr626YmQ0okhZERKVRuWZuSNw0Im4nBZ0/RMS5wAfLdtDMzDYMzZxsf1nSRsCDkqaSznds3tpumZnZQNHMHsmngM2A04GJwHHACZ3WMDOzQaPuHomkayPieGCviJhPup/kxF7rmZmZDQid7ZFMlPRm4O8lvVHSVsWhtzpoZmb9W2fnSC4Bbgd2AhYAxafsRk43M7NBru4eSURcFBFvB66IiJ0iYsfC4CBiZmZA5+dIOg5ffbHWoazCDYJmZjaIdXZoawH5rYisf1gLfGjLzMyyuoEkInbszY6YmdnA1Nmhrb/trGJE3NPz3TEzs4Gms0Nb/7eTvADe38N9MTOzAaizQ1vv682OmJnZwNTMY+Q3k3S2pOl5erykQ1rfNTMzGwiaedbWlcArwF55ehXw1Zb1yMzMBpRmAslfR8Q3gD8DRMSL/OXlwGZmNkg1E0hekbQp+Z4SSX8NvNzSXpmZ2YDRzPtIzgV+CoyVdD2wNzClhX0yM7MBpOEeSUTcCnyEFDxuBCoRMbeZxiVNkrRUUruks2rkD5d0U86fJ2lcTj9W0sLCsE7Srjlvbm6zI2/bZhfWzMx6XsM9EknXAXcC/xMRv222YUlDgIuBA4GVwHxJsyNiSaHYScBTEbGzpKOBC4CjIuJ64PrczjuBmyNiYaHesRHhl7CbmfUDzZwjuRzYDviWpGWSvifpU03U2x1oj4hlEfEKMAOYXFVmMnB1Hp8F7C+p+kT+MbmumZn1Q80c2vo5cB7wJeAyoAKc1kTbo4EVhemVOa1mmYhYCzwDbF1V5ijSIbWiK/NhrS/VCDwASDpFUpukttWrVzfRXTMz645mbki8HfgVaYO+FNgtIt7W6o7lee8BvBgR9xeSj42IdwLvycPxtepGxPSIqEREZdSoUb3QWzOzwamZQ1v3kW5IfAfwLuAd+XLgRlYBYwvTY3JazTKShgIjgTWF/KOp2huJiFX573PADaRDaGZm1keaObR1RkTsS7pyaw3pTvenm2h7PjBe0o6ShpGCwuyqMrOBE/L44cAdEdFxv8pGwJEUzo9IGippmzy+MXAIcD9mZtZnmrlqayrpENJEYDlwBfA/jepFxNpcdw4whPTK3sWSpgFtETGbdCL/WkntwJOkYNNhX2BFRCwrpA0H5uQgMgT4Gem8jZmZ9RHlHYD6BaTPkALHgnxCfMCpVCrR1uarhc3MukLSgoioNCrXcI8kIr7ZM10yM7MNUTMn283MzOpyIDEzs1IcSMzMrBQHEjMzK8WBxMzMSnEgMTOzUhxIzMysFAcSMzMrxYHEzMxKcSAxM7NSHEjMzKwUBxIzMyvFgcTMzEpxIDEzs1IcSMzMrBQHEjMzK8WBxMzMSmlpIJE0SdJSSe2SzqqRP1zSTTl/nqRxOX2cpJckLczDJYU6EyUtynUukqRWLoOZmXWuZYFE0hDgYuBgYAJwjKQJVcVOAp6KiJ2BC4ELCnkPRcSueTi1kP4d4GRgfB4mtWoZzMyssVbukewOtEfEsoh4BZgBTK4qMxm4Oo/PAvbvbA9D0nbAFhFxV0QEcA1wWM933czMmtXKQDIaWFGYXpnTapaJiLXAM8DWOW9HSfdKulPSewrlVzZo08zMetHQvu5AHY8C20fEGkkTgZsl7dKVBiSdApwCsP3227egi2ZmBq3dI1kFjC1Mj8lpNctIGgqMBNZExMsRsQYgIhYADwFvyeXHNGiTXG96RFQiojJq1KgeWBwzM6ullYFkPjBe0o6ShgFHA7OryswGTsjjhwN3RERIGpVP1iNpJ9JJ9WUR8SjwrKQ987mUjwM/bOEymJlZAy07tBURayVNBeYAQ4ArImKxpGlAW0TMBi4HrpXUDjxJCjYA+wLTJP0ZWAecGhFP5rxPAFcBmwK35MHMzPqI0sVPG7ZKpRJtbW193Q0zswFF0oKIqDQq5zvbzcysFAcSMzMrxYHEzMxKcSAxM7NSHEjMzKwUBxIzMyvFgcTMzEpxIDEzs1IcSMzMrBQHEjMzK8WBxMzMSnEgMTOzUhxIzMysFAcSMzMrxYHEzMxKcSAxM7NSHEjMzKwUBxIzMyulpYFE0iRJSyW1SzqrRv5wSTfl/HmSxuX0AyUtkLQo/31/oc7c3ObCPGzbymUwM7PODW1Vw5KGABcDBwIrgfmSZkfEkkKxk4CnImJnSUcDFwBHAU8AH4qIRyS9A5gDjC7UOzYi/BJ2M7N+oJV7JLsD7RGxLCJeAWYAk6vKTAauzuOzgP0lKSLujYhHcvpiYFNJw1vYVzMz66ZWBpLRwIrC9ErW36tYr0xErAWeAbauKvNR4J6IeLmQdmU+rPUlSerZbpuZWVf065PtknYhHe76x0LysRHxTuA9eTi+Tt1TJLVJalu9enXrO2tmNki1MpCsAsYWpsfktJplJA0FRgJr8vQY4AfAxyPioY4KEbEq/30OuIF0CO0vRMT0iKhERGXUqFE9skBmZvaXWhlI5gPjJe0oaRhwNDC7qsxs4IQ8fjhwR0SEpC2BHwNnRcSvOgpLGippmzy+MXAIcH8Ll8HMzBpoWSDJ5zymkq64egCYGRGLJU2TdGgudjmwtaR24Eyg4xLhqcDOwJerLvMdDsyRdB+wkLRHc1mrlsHMzBpTRPR1H1quUqlEW5uvFjYz6wpJCyKi0qhcvz7ZbmZm/Z8DiZmZleJAYmZmpTiQmJlZKQ4kZmZWigOJmZmV4kBiZmalOJCYmVkpDiRmZlaKA4mZmZXiQGJmZqU4kJiZWSkOJGZmVooDiZmZleJAYmZmpTiQmJlZKQ4kZmZWigOJmZmV4kBiZmalDG1l45ImAf8BDAG+GxHnV+UPB64BJgJrgKMiYnnO+wJwEvAqcHpEzGmmzZ5y9s2LuHHeCl6NYIjEMXuM5auHvbMVs2rJvLvTRrN1GpXrLL9eXk/Nu1V6ar6tWi+9tU6AptJ667vS3w30/9dmKSJa07A0BPgdcCCwEpgPHBMRSwplPgG8KyJOlXQ08OGIOErSBOBGYHfgzcDPgLfkap22WUulUom2tram+372zYu47q6H/yL9uD23b/k/QU/MuzttNFunUbnO8oGaeeO3HcGDj79Qet6t0lPzbdV66c110qze+K70dwP9/xVA0oKIqDQq18pDW7sD7RGxLCJeAWYAk6vKTAauzuOzgP0lKafPiIiXI+L3QHtur5k2S7tx3ooupfe3eXenjWbrNCrXWX69vHobrK7Ou1V6ar6tWi+9uU6a1Rvflf5uoP+/dkUr90gOByZFxD/k6eOBPSJiaqHM/bnMyjz9ELAHcC5wV0Rcl9MvB27J1Tpts9D2KcApwEjgTcDSqiIjgWdqpQ17084TOxJeffEZhmw28rUCrzzWvqALH0OXFee97k8vsNEmI7o87+600WydRuU6yy+ql1dn3n26XnpinXS3nWbq9PY6qZfW29+VKrW+z73RRt06XVzfnc27Xl7NbdiwN+28c8dED6yTHSJiVMNSEdGSATicdA6jY/p44NtVZe4HxhSmHwK2Ab4NHFdIvzy317DNGv2Y3mx6nbS2Vn1GTXyGNfve6jaardOoXGf5A3W99MQ6aeV6GYzrpKfWy4b4XemtddLKQ1urgLGF6TE5rWYZSUNJEXZNJ3WbabPaj7qQXq9sX+mJ/nSnjWbrNCrXWf5AXS891ZdWrZfBuE7A35Vm59MSrTy0NZR0Ynx/0sZ+PvCxiFhcKPNPwDvj9ZPtH4mIIyXtAtzA6yfbbwfGA2rUZguWoy2aONlkvcvrpf/xOul/emudtOzy34hYK2kqMId0qe4VEbFY0jTS7tZs0iGrayW1A08CR+e6iyXNBJYAa4F/iohXAWq12aplyKa3uH3rHq+X/sfrpP/plXXSsj0SMzMbHHxnu5mZleJAYmZmpTiQmJlZKQ4kXSRpJ0mXS5rV132xRNJhki6TdJOkg/q6P5ZIerukSySYYqYdAAAFFUlEQVTNknRaX/fHEkkjJLVJOqSn2nQgASRdIenxfKd9MX2SpKWS2iWdBRDp8Swn9U1PB48urpObI+Jk4FTgqL7o72DRxfXyQEScChwJ7N0X/R0MurJOss8DM3uyDw4kyVXApGJCfujkxcDBwATgmPwwSesdV9H1dXJ2zrfWuYourBdJhwI/Bn7Su90cVK6iyXUi6UDSbRWP92QHHEiAiPgF6T6Wol55QKTV1pV1ouQC4JaIuKe3+zqYdPW7EhGzI+Jg4Nje7eng0cV1sh+wJ/Ax4GRJPRIDWvo+kgFuNFB8XOZKYA9JWwPnAe+W9IWI+Hqf9G5wqrlOgE8CBwAjJe0cEZf0RecGsXrflf2AjwDD8R5Jb6u5TiI/4FbSFOCJiFjXEzNzIOmiiFhDOhZv/UREXARc1Nf9sPVFxFxgbh93w2qIiKt6sj0f2qqvOw+ItNbyOumfvF76n15dJw4k9c0HxkvaUdIw0nPAZvdxnwY7r5P+yeul/+nVdeJAAki6Efg18FZJKyWdFBFrgY4HRD4AzOyFB0Ra5nXSP3m99D/9YZ34oY1mZlaK90jMzKwUBxIzMyvFgcTMzEpxIDEzs1IcSMzMrBQHEjMzK8WBxKwLJM2VVOmF+Zwu6QFJ15dsZz9Je/VUv8xq8bO2zHqJpKH5RrFmfAI4ICJWlpztfsDzwP82W6GL/TTzHolteCSNy7/mL5O0WNKtkjbNea/tUUjaRtLyPD5F0s2SbpO0XNJUSWdKulfSXZK2KszieEkLJd0vafdcf0R+wdDduc7kQruzJd0B3F6jr2fmdu6X9M857RJgJ+AWSWdUlb9L0i6F6bmSKpK2yv2/L5d5l6RxpAeMnpH7+x5JoyR9T9L8POyd2zlX0rWSfgVcK2mXvCwLc5vje2Ld2AYqIjx42KAGYBywFtg1T88Ejsvjc4FKHt8GWJ7HpwDtwBuAUcAzwKk570Lgnwv1L8vj+wL35/GvFeaxJfA7YERudyWwVY1+TgQW5XKbA4uBd+e85cA2NeqcAfxrHt8OWJrHvwWck8ffDyzM4+cCnynUvwHYJ49vDzxQKLcA2LTQ3rF5fFhHugcPtQYf2rIN1e8jYmEeX0AKLo38PCKeA56T9Azwo5y+CHhXodyNkF4oJGkLSVsCBwGHSvpMLrMJaUMNcFtEVL94CGAf4AcR8QKApO8D7wHu7aSPM4FbgXNIr7CdVWjro7lfd0jaWtIWNeofAEyQ1DG9haTN8/jsiHgpj/8a+KKkMcD3I+LBTvpkg5wDiW2oXi6MvwpsmsfX8voh3U06qbOuML2O9b8r1Q+oC0DARyNiaTFD0h7AC13qeSciYpWkNZLeRXo/fVffjbMRsGdE/KmYmAPLa/2MiBskzQM+CPxE0j9GxB3lem8bKp8jscFmOemQEsDh3WzjKABJ+wDPRMQzpKesflJ5iyzp3U208z/AYZI2kzQC+HBOa+Qm4HPAyIi4r9DWsXne+5Hefvcs8BzpcF2HW0lvlCSX3bXWDCTtBCyL9NKwH7L+HpnZehxIbLD5JnCapHtJ50i640+5/iXASTntK8DGwH2SFufpTkV6v/xVwN3APOC7EdHZYa0Os0jvl5hZSDsXmCjpPuB84ISc/iPgwx0n24HTgUo+gb6E+ns0RwL3S1oIvAO4pol+2SDlx8ibmVkp3iMxM7NSHEjMzKwUBxIzMyvFgcTMzEpxIDEzs1IcSMzMrBQHEjMzK8WBxMzMSvn/sMTIA4olsOUAAAAASUVORK5CYII=\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# adf = df[(df['voting-mechanism'] == \"QV\")].groupby(['number-of-voters', 'majority-utility-stdev', 'variance-of-perceived-pivotality']).aggregate('mean').reset_index()\n", + "for pmp in sorted(df['variance-of-perceived-pivotality'].unique()):\n", + " pdf = df[(df['voting-mechanism'] == 'QV') & (df['variance-of-perceived-pivotality']==pmp)]\n", + " plt.scatter(pdf['number-of-voters'], pdf['wellfare-loss'])\n", + " plt.xscale('log')\n", + " plt.xlabel('number of voters')\n", + " plt.ylabel('wellfare loss')\n", + " plt.title(\"QV wellfare loss vs n voters, pmp={}\".format(pmp))\n", + " plt.ylim(0, 0.2)\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Wellfare loss of QV vs Variance of Percieved Pivotality" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Wellfare loss vs variance-of-pp for mean of all populations sizes together (plot for the figure)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [], + "source": [ + "# Data for QV right direction, random magnitude \n", + "df9 = pd.read_csv('2020.07.10 QV-right-direction-random-magnitude-normal-dist.csv')\n", + "df9['wellfare-loss'] = 1 - df9['mean payoff-sign-list']\n", + "qv_rdrm = df9['wellfare-loss'].mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1p1v wl: 0.208377083333333\n", + "QV_rdwm: 0.27814285714285714\n" + ] + } + ], + "source": [ + "adf = df[(df['voting-mechanism'] == \"QV\")].groupby('variance-of-pp').aggregate('mean').reset_index()\n", + "\n", + "\n", + "fig, ax = plt.subplots(figsize=(4, 3))\n", + "sns.scatterplot(x='variance-of-pp',\n", + " y='wellfare-loss',\n", + " ax = ax,\n", + " data=adf)\n", + "ax.set(xlim=(0, 0.083), ylim=(0,.3))\n", + "ax.set_xlabel('Variance of Perceived Pivotality', fontsize=12)\n", + "ax.set_ylabel('normal dist. WL', fontsize=12)\n", + "ax.tick_params(labelsize=10)\n", + "\n", + "wl_1p1v = df[(df['voting-mechanism'] == \"1p1v\")]['wellfare-loss'].mean()\n", + "plt.plot([0, 0.083], [wl_1p1v]*2, 'k--', linewidth=1)\n", + "\n", + "plt.plot([0, 0.083], [qv_rdrm]*2, 'C0--', linewidth=1)\n", + "\n", + "plt.savefig('figures/sQV_WL_vs_pmp_variance_𝜇=0_2.png', bbox_inches='tight', dpi=300)\n", + "plt.show()\n", + "\n", + "print(\"1p1v wl: {}\".format(wl_1p1v))\n", + "print(\"QV_rdwm: {}\".format(qv_rdrm))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true + }, + "source": [ + "### Wellfare loss vs variance-of-pp for each n_voters" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": { + "hidden": true, + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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PgcOGPcLFV2+YKCq6Vd/sJqEjk1v52HCKaP6+osNntO1sDTUJqG5qtBLYt8n0HwVubDLvpGGNDlJCaPCP6EZ9cxmbhFoxZTrTsZFr3sz6PxjrdYnS4TPaUjSdlXQcWZXT21qc70TgRIAddtih9RU3SwiubzazTmulaqnDXbq0M1kMAJOr3m+fyjYg6SDg88DbIuKZqnn3r5n3ltp5I2IWMAugr6+vwSlCEw3vs1B36pt7t61/FtGtJqFm1lmtdokySh6rOh+YJmmqpE2AY4E51RNImg5cAhweEY9VjZoLHCJpG0nbAIeksuFV9z4LQd9HulOlULYmoWbWWSXuEqVtZxYR8Zykk8i+5HuASyNiqaSZQH9EzAEuALYErpEE8HBEHB4RT0j6AlnCAZgZEcNfcV+2njnLFo+ZdVaJvwMUja60jzB9fX3R39/f7TDMzEYUSQsioi9vurF9B7eZmRXiZGFmZrmcLMzMLJeThZmZ5XKyMDOzXE4WZmaWy8nCzMxyOVmYmVkuJwszM8vlZGFmZrmcLMzMLJeThZmZ5XKyMDOzXE4WZmaWy8nCzMxyOVmYmVkuJwszM8vlZGFmZrmcLMzMLJeThZmZ5XKyMDOzXE4WZmaWy8nCzMxyOVmYmVkuJwszM8u1cbcDMDOzF81eOMAFc5fx6Oq1TBzfy2mH7sKM6ZO6HVb+mYWk8yW9TNI4SfMkrZJ0XCeCMzMbS2YvHOCM65YwsHotAQysXssZ1y1h9sKBbodWqBrqkIj4A/AuYAXwauC0dgZlZjYWXTB3GWvXrd+gbO269Vwwd1mXInpRkWRRqar6a+CaiHiqjfGYmY1Zj65e21J5JxVJFtdLug/YG5gnaQLw5/aGZWY29kwc39tSeSflJouIOB14E9AXEeuAPwFHtDswM7Ox5rRDd6F3XM8GZb3jejjt0F26FNGLilzgfi+wLiLWSzoT+DYwscjCJR0maZmk5ZJOrzP+rZLukvScpKNqxq2XdHd6zSm4PWZmI9aM6ZM498g9mDS+FwGTxvdy7pF7lKI1VJGms/8YEddIejNwEHAB8DVg32YzSeoBLgYOBlYC8yXNiYh7qiZ7GPgwcGqdRayNiL0KxGdmNmrMmD6pFMmhVpFrFpVL838NzIqIHwGbFJhvH2B5RDwYEc8CV1JTfRURKyJiMfB8CzGbmVmHFUkWA5IuAY4BbpC0acH5JgGPVL1fmcqK2kxSv6Q7JM2oN4GkE9M0/atWrWph0WZm1ooi1VBHA4cBX4qI1ZJeRWfus9gxIgYk7QTcJGlJRDxQPUFEzAJmAfT19UUHYjKzUaSsd0sX1cn4c5NFRKyR9ABwqKRDgdsi4icFlj0ATK56v30qKyQiBtLfByXdAkwHHmg6k5lZQZW7pSs3wVXulga6mjCKJoBOx1+kNdQpwHeAV6TXtyX9fYFlzwemSZoqaRPgWKBQqyZJ26TqLiRtB+wH3NN8LjOz4sp4t3Qr3X10Ov4i1x4+CuwbEWdFxFnAG4CP5c0UEc8BJwFzgXuBqyNiqaSZkg4HkPR6SSuB9wKXSFqaZn8d0C9pEXAzcF5NKyozsyEp493SrSSATsdf5JqFeLFFFGlYRRYeETcAN9SUnVU1PJ+seqp2vtuBPYqsw8xsMCaO72WgzhdrN++WbiUBdDr+ImcWlwF3Sjpb0tnAHcA32xKNmVmHlPFu6Va6+zjgtRPqTtuofKiKdPfxb8AJwBPpdUJEfLkt0ZiZdUgZ75ZuJYHdfF/92wUalQ9Vw2ooSdtWvV2RXi+Mi4gn2hKRmY1aZWuqWra7pSuxFNlHZbpmsQAIXrw+UbmPQWl4p7ZEZGajUhmbqpYteUHxBFaaaxYRMTUidkp/K8OV904UZtaSsjVVLfNT6Yro9DWXIhe4zcyGrGxNVcuWvFrV6WsuRZrOmpkNWdmaqpYteQ1GJ6+5+MzCbJSavXCA/c67iamn/4j9zrup69UrZWuqWuan0pVRoWQh6c2STkjDEyRNbW9YZjYUsxcOcNq1izaojz/t2kVdTRhla6patuRVdopo3lmrpH8C+oBdIuI1kiYC10TEfp0IsKi+vr7o7+/vdhhmpTB95k94cs26l5Rvs/k4Fp51SBciKqcytobqNEkLIqIvb7oi1yzeQ9bj610AEfGopK2GGJ+ZtVG9RNGsfKwq230WZVakGurZyE4/AkDSFu0NyczMyqZIsrg6PSlvvKSPAT8D/qO9YZnZUIzvHddSuVmeIg8/+pKkg4E/ALsAZ0XET9semZkN2tmH78Zp1yxi3fMvXpMct5E4+/DduhiVrxGMZE2ThaQe4GcRcQDgBGE2QrTSx1CnlLG7DyuuabKIiPWSnpe0dUQ81amgzGzoynbxttkd02WK0+or0hrqaWCJpJ8Cf6oURsTJbYvKzEad0XDH9FhWJFlcl15mZoNWtu4+rDVFLnBf0YlAzGx0O+3QXTa4ZgG+Y3okyU0WkqYB5wK7AptVyt1NuZm1oowX3a24ItVQlwH/BFwIHED2iFV3QGhmLSvbRXcrrkiy6I2IeZIUEQ8BZ0taAJzV5tjMRgzfP2CjXZFk8YykjYD7JZ0EDABbtjcss5HD9w/YWFCkOukUYHPgZGBv4Djg+HYGZTaSjPQnrpkV0fDMQtK3IuKDwJsiYj7Z/RYndCwysxHC9w/YWNDszGLv9OyKj0jaRtK21a9OBWhWdn7imo0FzZLF14F5wGuBBTUvP2XILPET12wsaFgNFREXARdJ+lpEfKKDMZmNKL5/wMaCho9Vzatqiogn2hLRIPmxqmZmrRuOx6ouID0dD1DNuAB8B7eZ2RjRrBpqaicDMRvJfFOejXYNL3BL+qtmryILl3SYpGWSlks6vc74t0q6S9Jzko6qGXe8pPvTy/d1WGlVbsobWL2W4MWb8mYvHOh2aGbDplk11L82GRfA25stOD1l72LgYGAlMF/SnIi4p2qyh4EPA6fWzLstWX9UfWldC9K8TzZbp1k3+KE+NhY0q4Y6YIjL3gdYHhEPAki6EjgCeCFZRMSKNO75mnkPBX5auYieHrx0GPC9IcZkNux8U56NBbndfUjaXNKZkmal99MkvavAsicBj1S9X5nKiig0r6QTJfVL6l+1alXBRZsNL9+UZ2NBkb6hLgOeBd6U3g8A57QtohZExKyI6IuIvgkTJnQ7HOug2QsH2O+8m5h6+o/Y77ybunp9wDfl2VhQJFnsHBHnA+sAImINL21KW88AMLnq/faprIihzGujXNkuKM+YPolzj9yDSeN7ETBpfC/nHrmHr1fYqFKki/JnJfWS7rmQtDPwTIH55gPTJE0l+6I/Fnh/wbjmAv8iaZv0/hDgjILz2ihXxgvKfqiPjXZFzizOBn4MTJb0HbL+oj6bN1NEPAecRPbFfy9wdUQslTRT0uEAkl4vaSXwXuASSUvTvE8AXyBLOPOBmWW7Y9y6xxeUzTov98wiIn6Snoz3BrLqp1Mi4vdFFh4RNwA31JSdVTU8n6yKqd68lwKXFlmPjS3jNx/Hk2vW1S03s/bITRaSvg3cCtwWEfe1PySz5hp0Z9aw3MyGrkg11DeBVwH/T9KDkr4v6ZQ2x2XW0FNrX3pW0azczIauSDXUzZL+C3g9cADwcWA34Cttjs2sronjexmoc33C9zWYtU+Rm/LmAT8HjgGWAa+PiNe2OzCzRnxfg1nnFamGWkx2U97uwJ7A7qkprVlX+L4Gs84rUg31aQBJW5F1+ncZ8BfApm2NzKwJ39dg1llFWkOdBLwF2BtYQdac9bb2hmVmZmVS5A7uzYB/AxakG+3MzGyMKVIN9aVOBGJmZuVV5AK3mZmNcUWqoWyM8/OlzczJwpqqdAde6eW10h044IRhNoa4GsqaatYduJmNHU4W1pS7AzczcLKwHH6+tJmBk4XlcD9MZgZOFpZjxvRJ/M3ek+hR9tj1Hom/2dtdbZiNNU4W1tTshQN8f8EA69OThdZH8P0FA8xeONDlyMysk5wsrCm3hjIzcLKwHG4NZWbgm/JKp2x3S/updGYGPrMolcrd0gOr1xK8eLd0N68PuDWUmYGTRamU8fqAn0pnZuBqqFIp6/UBP5XOzHxmUSJb945rqdzMrFOcLEok3fdWuNzMrFOcLEpk9Zp1LZWbmXWKk0WJuNM+MysrJ4sScTNVMysrt4YqkUqLozLdlGdmBk4WpeNmqmZWRm2thpJ0mKRlkpZLOr3O+E0lXZXG3ylpSiqfImmtpLvT6+vtjNPMzJpr25mFpB7gYuBgYCUwX9KciLinarKPAk9GxKslHQt8ETgmjXsgIvZqV3xmZlZcO88s9gGWR8SDEfEscCVwRM00RwBXpOFrgQMl31VgZlY27UwWk4BHqt6vTGV1p4mI54CngJencVMlLZR0q6S31FuBpBMl9UvqX7Vq1fBGb2ZmLyhr09nfAjtExHTgM8B3Jb2sdqKImBURfRHRN2HChI4HaWY2VrQzWQwAk6veb5/K6k4jaWNga+DxiHgmIh4HiIgFwAPAa9oYq5mZNdHOZDEfmCZpqqRNgGOBOTXTzAGOT8NHATdFREiakC6QI2knYBrwYBtjNTOzJtrWGioinpN0EjAX6AEujYilkmYC/RExB/gm8C1Jy4EnyBIKwFuBmZLWAc8DH4+IJ9oVq5mZNaeI6HYMw6Kvry/6+/u7HYaZ2YgiaUFE9OVNV9YL3GZmViJOFmZmlsvJwszMcjlZmJlZLicLMzPL5WRhZma5nCzMzCyXk4WZmeVysjAzs1xOFmZmlsvJwszMcjlZmJlZrrb1OjsSzV44wAVzl/Ho6rVMHN/LaYfuwozptQ/3MzMbe5wsktkLBzjjuiWsXbcegIHVaznjuiUAThhmNua5Giq5YO6yFxJFxdp167lg7rIuRWRmVh5OFsmjq9e2VG5mNpY4WSQTx/e2VG5mNpY4WSSnHboLveN6NijrHdfDaYfu0qWIzMzKwxe4k8pFbLeGMjN7KScLXtpk9sJj9nKSMDOrMuaThZvMmpnlG/PXLBo1mf0/Vy9i9sKBLkVlZlYuYz5ZNGoauz6CM65b4oRhZoaTBVv3jms4zjflmZllxnyykJqP9015ZmZOFqxes67peN+UZ2bmZNE0GfimPDOzzJhPFvXu3AbYZvNxnHvkHm4+a2aG77PwndtmZgWM+WQBWcJwcjAza2zMV0OZmVm+tp5ZSDoM+ArQA3wjIs6rGb8p8J/A3sDjwDERsSKNOwP4KLAeODki5rYjxjNnL+F7dz7C+gh6JN6372TOmbFHO1ZlZjZite3MQlIPcDHwDmBX4H2Sdq2Z7KPAkxHxauBC4Itp3l2BY4HdgMOAr6blDaszZy/h23c8zPoIILtr+9t3PMyZs5cM96rMzEa0dlZD7QMsj4gHI+JZ4ErgiJppjgCuSMPXAgdKUiq/MiKeiYjfAMvT8obV9+58pKVyM7Oxqp3JYhJQ/a27MpXVnSYingOeAl5ecF4knSipX1L/qlWrWg6wckZRtNzMbKwa0Re4I2JWRPRFRN+ECRNanr+nQV8fjcrNzMaqdiaLAWBy1fvtU1ndaSRtDGxNdqG7yLxD9r59J7dUbmY2VrUzWcwHpkmaKmkTsgvWc2qmmQMcn4aPAm6KiEjlx0raVNJUYBrwy+EO8JwZe3DcG3Z44UyiR+K4N+zg1lBmZjXa1nQ2Ip6TdBIwl6zp7KURsVTSTKA/IuYA3wS+JWk58ARZQiFNdzVwD/Ac8MmIWF93RUN0zow9nBzMzHIoRsnF3L6+vujv7+92GGZmI4qkBRHRlzfdiL7AbWZmneFkYWZmuZwszMwsl5OFmZnlGjUXuCWtAh4awiK2A34/TOGMVt5H+byPivF+ytepfbRjROTe1TxqksVQSeov0iJgLPM+yud9VIz3U76y7SNXQ5mZWS4nCzMzy+Vk8aJZ3Q5gBPA+yud9VIz3U75S7SNfszAzs1w+szAzs1xOFmZmlmvUJwtJh0laJmm5pNPrjN9U0lVp/J2SplSNOyOVL5N0aCfj7rTB7idJB0taIGlJ+vv2TsfeKUM5ltL4HSQ9LenUTsXcaUP8vO0p6ReSlqbjabNOxt5JQ/i8jZN0Rdo/90o6o2NBR8SofZF1jf4AsBOwCbAI2LVmmr8Dvp6GjwVYR17jAAAIZElEQVSuSsO7puk3Baam5fR0e5tKuJ+mAxPT8O7AQLe3p2z7qGr8tcA1wKnd3p6y7SOyxyUsBv4yvX+5P29199P7gSvT8ObACmBKJ+Ie7WcW+wDLI+LBiHgWuBI4omaaI4Ar0vC1wIGSlMqvjIhnIuI3wPK0vNFo0PspIhZGxKOpfCnQK2nTjkTdWUM5lpA0A/gN2T4arYayjw4BFkfEIoCIeDza9AybEhjKfgpgi/Rk0V7gWeAPnQh6tCeLScAjVe9XprK600TEc8BTZL9qisw7WgxlP1X7G+CuiHimTXF206D3kaQtgc8B/9yBOLtpKMfRa4CQNFfSXZI+24F4u2Uo++la4E/Ab4GHgS9FxBPtDhja+KQ8G1sk7QZ8kewXom3obODCiHg6nWjYS20MvBl4PbAGmJceyjOvu2GVzj7AemAisA1wm6SfRcSD7V7xaD+zGAAmV73fPpXVnSad2m0NPF5w3tFiKPsJSdsDPwA+FBEPtD3a7hjKPtoXOF/SCuBTwD+kRw6PNkPZRyuB/4qI30fEGuAG4K/aHnF3DGU/vR/4cUSsi4jHgJ8DHek/arQni/nANElTJW1CdqFoTs00c4Dj0/BRwE2RXT2aAxybWiVMBaYBv+xQ3J026P0kaTzwI+D0iPh5xyLuvEHvo4h4S0RMiYgpwJeBf4mIf+9U4B00lM/bXGAPSZunL8e3Afd0KO5OG8p+ehh4O4CkLYA3APd1JOputwxo9wt4J/BrstYHn09lM4HD0/BmZC1UlpMlg52q5v18mm8Z8I5ub0sZ9xNwJlkd6t1Vr1d0e3vKtI9qlnE2o7Q11FD3EXAcWQOAXwHnd3tbyrifgC1T+VKyZHpap2J2dx9mZpZrtFdDmZnZMHCyMDOzXE4WZmaWy8nCzMxyOVmYmVkuJwvrKEk3pHszSkHSW1Ivp3dL6u3QOm9v8/LPbqVnW0l9ki4a5LpmSNq1lZgkzZR0UBr+lKTNB7Nu6ywnC+sIZTaKiHdGxOpux1PlA8C5EbFXRKwdroWmG8vqiog3Ddd6hkNE9EfEyYOcfQZZD82trO+siPhZevspst5TreScLKwwSedJ+mTV+7MlnSppS0nzUgdwSyQdkcZPSX32/yfZjVaTJa2QtF0aP1vZMzCWSjqxarlPS/q/khZJukPSK1P5KyX9IJUvkvSmVH6cpF+ms4NLJPXUif1ASQtTfJemO/P/Fjga+IKk79RMP0XSfZK+k54bcG3lF7CkvSXdmmKfK+lVqfwWSV+W1A+c0iTep6vWc5qk+ZIWS/rnZvu50fSp/POSfi3pv4FdGvz/Lpf0dUn9adp3pfL9JV0vaaP0/xlfNc/9aTumSLoprXeesmdzvAk4HLgg7fudJX0sxbdI0vfrnTWkOI6SdDJZH0c3S7pZ0kckfblquo9JurDetlgXdPtORr9Gzovs2RW3Vr2/h6z/mo2Bl6Wy7cjuOhUwBXgeeEPVPCuA7dLwtulvL1kyeXl6H8C70/D5wJlp+CrgU2m4h6y/nNcBPwTGpfKvkvVRVR33ZmQ9eL4mvf/PquVcDhxVZ1unpDj2S+8vBU4FxgG3AxNS+THApWn4FuCrVct4Sbxp+On09xBgVtpXGwHXA29tsp8bTb83sITsF/rL0v5/yV3iaVt/nOadRtYf02bA/sD1aZqvACek4X2Bn6XhHwLHp+GPALPr7b/K/zANnwP8fRo+uxJT9TxseDxsSXZHc+V/eTuwR7ePe7+yl3udtcIiYqGkV0iaCEwAnoyIRySNA/5F0lvJksMk4JVptoci4o4GizxZ0nvS8GSyL7DHyfrovz6VLwAOTsNvBz6UYlkPPCXpg2RflvOV9ejaCzxWs55dgN9ExK/T+yuAT5L109TMI/Fif1ffBk4m+7LdHfhpWl8PWXfRFVdVDb8k3prlH5JeC9P7LYFpEfHNBvv5lHrTA1sBP4isAz4k1fYzVO3qiHgeuF/Sg8Bra8ZfBZwFXEZ66E4qfyNwZBr+FlkSr2d3SecA41N8c5vEsoHIeuW9CXiXpHvJksaSovNbezlZWKuuIevY7C948YvkA2RfantHxDplvatWHon5p3oLkbQ/cBDwxohYI+mWqnnWRfppSdYdc7PjVMAVEdGOx0vW9oUTaX1LI+KNDeapu70NiOx6ySV1xtXbz3Wnl/SpFtZZb5uq/QJ4taQJZNcjzmlh2ZCdNcyIiEWSPkx21tKKbwD/QNY53mUtzmtt5GsW1qqryH5xHkX2hQZZddBjKVEcAOxYYDlbk/1iXiPptWS9Z+aZB3wCQFKPpK1T2VGSXpHKt5VUu/5lwBRJr07vPwjcWmB9O0iqJIX3A/+dljWhUq7smci7tRBvtbnAR5Q9HAlJkyrbQf393Gj6/wJmSOqVtBXw7ibb9N50bWJnssd6LqsemZL0D4B/A+6NiMfTqNtTPJD9OLgtDf+R7MymYivgt+ls8wNN4qjYYP6IuJPsLPP9wPcKzG8d4mRhLYmIpWQf7oGIqFS/fAfok7SErNqlSJfJPwY2TtUN5wGNqqqqnQIckNazgOy5xfeQ9Xz7E0mLgZ8Cr6qJ+c/ACcA1ad7nga8XWN8y4JMpxm2Ar0X2GMyjgC9KWkTWy26j1k0vibcmrp8A3wV+kaa5lvTFWW8/N5o+Iu4iSy6LgBvJusBu5GGyXkxvBD6e9k2tq8h6gK2uUvt74IS0jz+Ytg2yR4KepqzxwM7APwJ3kj1nochxMAv4saSbq8quBn4eEU8WmN86xL3OmtUhaQrZRd/duxzKsJF0Odk2XdvtWJqRdD3ZkwX9lLwS8ZmFmZWCpPGSfg2sdaIoH59ZmJlZLp9ZmJlZLicLMzPL5WRhZma5nCzMzCyXk4WZmeX6X832/Z/sEwRRAAAAAElFTkSuQmCC\n", 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0s/byzllpboYaVpUmIN9FbmYV5COLvG7vZfimPDOrKB9ZVIlvyjOzinKyqJIqXJFlZlaHk0WV+LpvM6soJ4sq8XXfZlZRThZVUpUrsszMavhqqKrp9hVZZmZ1+MjCzMwKOVmYmVkhN0OZmY1TZy9bzaU3bWAogh6Jkw6eyZIF89oyLycLM7Nx6Oxlq7nkxnu29g9FbO1vR8JwM5SZWYUsWzXAoeddx15n/TuHnncdy1YN1B3u0pvqPCW7Sflo+cjCzKwilq0aYNHVqxncMgTAwOZBFl29GoAFB8zYZtihiLrTaFQ+Wj6yMDOriKUr1m5NFMMGtwyxdMXaJw3bI9WdRqPy0XKyMLOOKdvEMlndu3mwdPlJB8+sO2yj8tFysjCzjhhuYhnYPEjwRBOLE8YTpk/tLV2+ZME8Tjlk1tYjiR6JUw6Z1baroRRtat/qtL6+vujv7+92GGbWwKHnXcdAnT3kGVN7+clZr+pCRNVTe84CoHdKDx87ft6TzlmMFUkrI6KvaDif4DazjmiliWWyGk4IS1es5d7Ng0yf2svC+XPbliha4WRhZh0xfWpv3SOLRk0vk9WCA2ZUIjnU8jkLM+uIhfPn0julZ5uy3ik9LJw/t0sRVVNVLwLwkYWZdUSVm1iqopX7LDrNycLMOqaqTSxV0ew+i27Xm5uhzMwqosoXAThZmJlVRCv3WXSak4WZTVpVO5lc5YsA2posJB0taa2kdZLOqvP9KyXdIukxSSfUfDck6db0Wd7OOM1s8qniHeULDpjBx46fx4ypvYjshsV23pDXirad4JbUA3wOeDWwEbhZ0vKIuCM32D3A24Ez60xiMCJe1K74zGxyq+rJ5KpeBNDOq6EOAtZFxF0Aki4DjgO2JouIWJ++e7yNcZiZPUmVTyZXUWEzlKRPSHqapCmSrpW0SdIpJaY9A8i/hWNjKitrJ0n9km6UtKCF8czMCk19ypSWyie7MucsjoqI/wZeB6wHngssbGdQybPTw61OBj4tae/aASSdlhJK/6ZNmzoQkplNFI2eoTpBnq065soki+Gmqr8AroyIB0tOewDIP1h9z1RWSkQMpL93AdcDB9QZ5vyI6IuIvmnTppWdtJkZDw5uaal8siuTLK6R9EvgQOBaSdOA/ykx3s3AHEl7SdoBOBEodVWTpN0k7Zi69wAOJXeuw8zGpypdqlrlexqqqDBZRMRZwMuAvojYAvyJ7ER10XiPAacDK4BfAFdExBpJiyUdCyDpJZI2Am8AviRpTRr9BUC/pNuAHwLn1VxFZWbjTNUuVa3yPQ1VVPjyI0lvAL4bEX+UdDbwYmBJRNzSiQDL8suPzKqtii8/WrZqYNI/2HAsX370fyLiSkkvB44ElgJfAA4eZYxmNolU8VLVqt7TUEVlzlkM37XyF8D5EfHvwA7tC8nMJiKfIxjfyiSLAUlfAt4EfDudePYzpcysJT5HML6V2ei/kewk9fyI2AzsTmfuszCzCaTKzz2yYoXnLCLiYUl3AvMlzQd+HBHfa39oZjbR+BzB+FXmcR/vBb4GPCN9LpH0t+0OzMzMqqPM1VDvBA6OiD8BSPo48DPgn9sZmJmZVUeZcxbiiSuiSN1qTzhmZlZFZY4sLgJukvTN1L8AuKB9IZmZWdWUOcH9SUnXAy9PRadGxKq2RmVmZpXSMFlI2j3Xuz59tn4XEfe3LywzM6uSZkcWK4HgifMTww+RUup+ThvjMjOzCmmYLCJir04GYmZm1eXHdpiZWSEnCzMzK1Tm0lkzK+D3IthEVypZpHdZzImIi9JrVXeOiN+0NzSzxqq0cR5+A9zgluze1eE3wAFdTRhVqiMb/8o8G+rDwAeBRaloCnBJO4Mya6Zqr+dcumLt1kQxbHDLEEtXrO1KPFC9OrLxr8w5i9cDx5K9e5uIuBfYpZ1BmTVTtY1zFd8AV7U6svGvTLJ4NLIXdQeApKe2NySz5qq2ca7iG+CqVkc2/pVJFlekN+VNlfQu4AfAv7Y3LLPGqrZxruIb4KpWRzb+FSaLiPhH4CrgG8Bc4JyI8OPJrWuqtnGu4hvgFs6fy5SebR8OPaVHfoWpjVjTq6Ek9QA/iIjDge93JiSz5oY3wlW60qeSb4CLgn6zFjRNFhExJOlxSbtGxIOdCsqsSCU3zhWydMVatjy+bXbY8niwdMVa15uNSJn7LB4CVkv6PumKKICIOKNtUZnZqPgEt421Msni6vQxswaqdgPc9Km9DNRJDD7BbSNV5uVHF3ciELPxqop3cC+cP3ebmKD7V2jZ+FbmDu45kq6SdIeku4Y/nQjObDyo4g1wVbxCy8a3su/g/jDwKeBw4FT8tFqzrap6fsAXAdhYKrPR742IawFFxN0RcS7wF+0Ny2z88A1wNhmUSRaPSNoO+LWk0yW9Hti5zXGZjRtVu0nQrB3KJIv3Ak8BzgAOBE4B3tbOoMzGE58fsMmg4TkLSV+NiLcAL4uIm8nutzi1Y5GZjSM+P2ATXbMjiwMlTQfeIWk3SbvnP50K0MzMuq9ZsvgicC3wfGBlzae/zMQlHS1praR1ks6q8/0rJd0i6TFJJ9R89zZJv04fN3uZmXVRw2QREZ+NiBcAF0bEcyJir9znOUUTTg8h/BzwGmAf4CRJ+9QMdg/wduDrNePuTna57sHAQcCHJe3WwnKZmdkYanbOYrip6UP1mp0i4v6CaR8ErIuIu9L0LgOOA+7ITWN9+u7xmnHnA98fnkd6LtXRwKUF8zQzszZodlPeSp54qLFqvgug6OhiBrAh17+R7EihjHrjPunsoaTTgNMAZs2aVXLSZmbWqobJIiL26mQgIxER5wPnA/T19flp/WZmbdKsGerFzUaMiFsKpj0AzMz175nKyhgADqsZ9/qS45qZ2Rhr1gz1T02+C+BVBdO+GZgjaS+yjf+JwMkl41oB/EPupPZRwKKS45qZ2Rhr1gx1+GgmHBGPSTqdbMPfQ3ZV1RpJi4H+iFgu6SXAN4HdgGMkfSQi9o2I+yV9lCzhACwucULdzMzaRBHNm/olPQV4PzArIk6TNAeYGxHXdCLAsvr6+qK/v9TtH2ZmlkhaGRF9RcOVeTbURcCjwMtS/wCwZBSxmZnZOFMmWewdEZ8AtgBExMM8+VJaMzObwMoki0cl9ZLuuZC0N/BIW6MyM7NKKfOmvHOB7wIzJX0NOJTsER1mZjZJFCaLiPiepJXAIWTNT++NiD+0PTKzJpatGmDpirXcu3mQ6VN7WTh/rh8RbtZGhclC0iXADcCPI+KX7Q/JrLllqwZYdPVqBrcMATCweZBFV68GcMIwa5MyzVAXAK8A/jmdr1gF/CgiPtPWyKwyzl62mktv2sBQBD0SJx08kyUL5nUtnqUr1m5NFMMGtwyxdMVaJwuzNinTDPVDST8CXgIcDrwb2BdwspgEzl62mktuvGdr/1DE1v5uJYx7Nw+2VG5mo1d4NZSka4GfAG8C1gIviYjntzswq4ZLb9rQUnknTJ/a21K5mY1emUtnbye7KW8/YH9gv3QprU0CQw3u8G9U3gkL58+ld0rPNmW9U3pYOH9ulyIym/jKNEP9HYCkXcgumb0I+DNgx7ZGZpXQI9VNDD3q3n2Zw+clfDWUWeeUuRrqdLIT3AcC64ELgR+3NyyripMOnrnNOYt8eTctOGCGk4NZB5W5Gmon4JPAyoh4rM3xWMUMn8Su0tVQZtZ5hU+dHS/81Fkzs9aN5VNnzcxsknOyMDOzQk4WZmZWyMnCzMwKOVmYmVkhJwszMyvkZGFmZoWcLMzMrJCThZmZFXKyMDOzQk4WZmZWyMnCzMwKOVmYmVkhJwszMyvkZGFmZoWcLMzMrFCZN+VZBy1bNeB3S5tZ5ThZVMiyVQMsuno1g1uGABjYPMiiq1cDOGGYWVe5GapClq5YuzVRDBvcMsTSFWu7FJGZWaatyULS0ZLWSlon6aw63+8o6fL0/U2SZqfy2ZIGJd2aPl9sZ5xVMbB5sKVyM7NOaVszlKQe4HPAq4GNwM2SlkfEHbnB3gk8EBHPlXQi8HHgTem7OyPiRe2Kr4p6JIYi6pabmXVTO48sDgLWRcRdEfEocBlwXM0wxwEXp+6rgCOkybtlrJcompWbmXVKO5PFDGBDrn9jKqs7TEQ8BjwIPD19t5ekVZJukPSKejOQdJqkfkn9mzZtGtvou2DG1N6Wys3MOqWqJ7h/C8yKiAOA9wNfl/S02oEi4vyI6IuIvmnTpnU8yLG2cP5ceqf0bFPWO6WHhfPndikiM7NMO5PFADAz179nKqs7jKTtgV2B+yLikYi4DyAiVgJ3As9rY6yVsOCAGXzs+HnMmNqLyI4oPnb8PF82a2Zd1877LG4G5kjaiywpnAicXDPMcuBtwM+AE4DrIiIkTQPuj4ghSc8B5gB3tTHWylhwwAwnBzOrnLYli4h4TNLpwAqgB7gwItZIWgz0R8Ry4ALgq5LWAfeTJRSAVwKLJW0BHgfeHRH3tytWMzNrTjFBrrTp6+uL/v7+bodhZjauSFoZEX1Fw1X1BLeZmVWIk4WZmRVysjAzs0JOFmZmVsjJwszMCjlZmJlZIScLMzMr5GRhZmaFnCzMzKyQk4WZmRVysjAzs0JOFmZmVsjJwszMCjlZmJlZIScLMzMr5GRhZmaFnCzMzKyQk4WZmRVq2zu4x6NlqwZYumIt924eZPrUXhbOn8uCA2Z0Oywzs65zskiWrRpg0dWrGdwyBMDA5kEWXb0awAnDzCY9N0MlS1es3Zoohg1uGWLpirVdisjMrDqcLJJ7Nw+2VG5mNpk4WSTTp/a2VG5mNpk4WSQL589lynbapmzKdmLh/LldisjMrDqcLPJU0G9mNkk5WZBdCfW/r7iNLUOxTfmWofAJbjMznCxYtmqAhVfdxlBE3e99gtvMzMmCj3xrzZOOKPJ8gtvMzMmCBx7e0vC73ik9PsFtZoaTRVMfO36e7942M8PJgqm9UxqWO1GYmWUmfbI499h9695fce6x+3YpIjOz6pn0DxIcPnrw02bNzBqb9MkCsoTh5GBm1lhbk4Wko4HPAD3AlyPivJrvdwT+DTgQuA94U0SsT98tAt4JDAFnRMSKdsR49rLVXHrTBoYi6JE46eCZLFkwrx2zMjMbt9p2zkJSD/A54DXAPsBJkvapGeydwAMR8VzgU8DH07j7ACcC+wJHA59P0xtTZy9bzSU33rP1hryhCC658R7OXrZ6rGdlZjautfME90HAuoi4KyIeBS4DjqsZ5jjg4tR9FXCEJKXyyyLikYj4DbAuTW9MXXrThpbKzcwmq3YmixlAfqu7MZXVHSYiHgMeBJ5eclwknSapX1L/pk2bWg6w0SM+GpWbmU1W4/rS2Yg4PyL6IqJv2rRpLY/fo/qPlW1UbmY2WbUzWQwAM3P9e6ayusNI2h7YlexEd5lxR+2kg2e2VG5mNlm1M1ncDMyRtJekHchOWC+vGWY58LbUfQJwXUREKj9R0o6S9gLmAD8f6wCXLJjHKYfM2nok0SNxyiGzfDWUmVmNtl06GxGPSTodWEF26eyFEbFG0mKgPyKWAxcAX5W0DrifLKGQhrsCuAN4DHhPRAy1I84lC+Y5OZiZFVBMkJO5fX190d/f3+0wzMzGFUkrI6KvaLhxfYLbzMw6w8nCzMwKOVmYmVkhJwszMys0YU5wS9oE3D2KSewB/GGMwpmoXEfFXEfluJ6KdaqOnh0RhXc1T5hkMVqS+stcETCZuY6KuY7KcT0Vq1oduRnKzMwKOVmYmVkhJ4snnN/tAMYB11Ex11E5rqdilaojn7MwM7NCPrIwM7NCThZmZlZowicLSUdLWitpnaSz6ny/o6TL0/c3SZqd+25RKl8raX4n4+60kdaTpFdLWilpdfr7qk7H3imjWZfS97MkPSTpzE7F3Gmj/L3tL+lnktak9WmnTsbeSaP4vU2RdHGqn19IWtSxoCNiwn7IHo1+J/AcYAfgNmCfmmH+Bvhi6j4RuDx175OG3xHYK02np9vLVMF6OgCYnrr3Awa6vTxVq6Pc91cBVwJndnt5qlZHZK9LuB14Yep/un9vdevpZOCy1P0UYD0wuxNxT/Qji4OAdRFxV0Q8ClwGHFczzHHAxan7KuAISUrll0XEIxHxG2Bdmt5ENOJ6iojhsm+2AAAH8UlEQVRVEXFvKl8D9ErasSNRd9Zo1iUkLQB+Q1ZHE9Vo6ugo4PaIuA0gIu6LNr3DpgJGU08BPDW9WbQXeBT4704EPdGTxQxgQ65/YyqrO0xEPAY8SLZXU2bciWI09ZT3l8AtEfFIm+LsphHXkaSdgQ8CH+lAnN00mvXoeUBIWiHpFkkf6EC83TKaeroK+BPwW+Ae4B8j4v52BwxtfFOeTS6S9gU+TraHaNs6F/hURDyUDjTsybYHXg68BHgYuDa9lOfa7oZVOQcBQ8B0YDfgx5J+EBF3tXvGE/3IYgCYmevfM5XVHSYd2u0K3Fdy3IliNPWEpD2BbwJvjYg72x5td4ymjg4GPiFpPfA+4O/TK4cnmtHU0UbgRxHxh4h4GPg28OK2R9wdo6mnk4HvRsSWiPg98BOgI8+PmujJ4mZgjqS9JO1AdqJoec0wy4G3pe4TgOsiO3u0HDgxXZWwFzAH+HmH4u60EdeTpKnAvwNnRcRPOhZx5424jiLiFRExOyJmA58G/iEi/qVTgXfQaH5vK4B5kp6SNo5/DtzRobg7bTT1dA/wKgBJTwUOAX7Zkai7fWVAuz/Aa4FfkV198KFUthg4NnXvRHaFyjqyZPCc3LgfSuOtBV7T7WWpYj0BZ5O1od6a+zyj28tTpTqqmca5TNCroUZbR8ApZBcA/CfwiW4vSxXrCdg5la8hS6YLOxWzH/dhZmaFJnozlJmZjQEnCzMzK+RkYWZmhZwszMyskJOFmZkVcrKwjpL07XRvRiVIekV6yumtkno7NM+ftnn657byZFtJfZI+O8J5LZC0TysxSVos6cjU/T5JTxnJvK2znCysI5TZLiJeGxGbux1PzpuBj0XEiyJicKwmmm4sqysiXjZW8xkLEdEfEWeMcPQFZE9obmV+50TED1Lv+8ienmoV52RhpUk6T9J7cv3nSjpT0s6Srk0PgFst6bj0/ez0zP5/I7vRaqak9ZL2SN8vU/YOjDWSTstN9yFJ/1fSbZJulPTMVP5MSd9M5bdJelkqP0XSz9PRwZck9dSJ/QhJq1J8F6Y78/8KeCPwUUlfqxl+tqRfSvpaem/AVcN7wJIOlHRDin2FpGel8uslfVpSP/DeJvE+lJvPQkk3S7pd0kea1XOj4VP5hyT9StJ/AHMb/P++IumLkvrTsK9L5YdJukbSdun/MzU3zq/TcsyWdF2a77XK3s3xMuBYYGmq+70lvSvFd5ukb9Q7akhxnCDpDLJnHP1Q0g8lvUPSp3PDvUvSp+oti3VBt+9k9Gf8fMjeXXFDrv8OsufXbA88LZXtQXbXqYDZwOPAIblx1gN7pO7d099esmTy9NQfwDGp+xPA2an7cuB9qbuH7Hk5LwC+BUxJ5Z8ne0ZVPu6dyJ7g+bzU/2+56XwFOKHOss5OcRya+i8EzgSmAD8FpqXyNwEXpu7rgc/npvGkeFP3Q+nvUcD5qa62A64BXtmknhsNfyCwmmwP/Wmp/p90l3ha1u+mceeQPY9pJ+Aw4Jo0zGeAU1P3wcAPUve3gLel7ncAy+rV3/D/MHUvAf42dZ87HFN+HLZdH3Ymu6N5+H/5U2Bet9d7f7KPnzprpUXEKknPkDQdmAY8EBEbJE0B/kHSK8mSwwzgmWm0uyPixgaTPEPS61P3TLIN2H1kz+i/JpWvBF6dul8FvDXFMgQ8KOktZBvLm5U90bUX+H3NfOYCv4mIX6X+i4H3kD2nqZkN8cTzri4BziDb2O4HfD/Nr4fscdHDLs91PynemukflT6rUv/OwJyIuKBBPb+33vDALsA3I3sAH5JqnzOUd0VEPA78WtJdwPNrvr8cOAe4iPTSnVT+UuD41P1VsiRez36SlgBTU3wrmsSyjcieynsd8DpJvyBLGqvLjm/t5WRhrbqS7MFmf8YTG5I3k23UDoyILcqerjr8Ssw/1ZuIpMOAI4GXRsTDkq7PjbMl0q4l2eOYm62nAi6OiHa8XrL2WTiR5rcmIl7aYJy6y9uAyM6XfKnOd/Xque7wkt7XwjzrLVPez4DnSppGdj5iSQvThuyoYUFE3Cbp7WRHLa34MvD3ZA/Hu6jFca2NfM7CWnU52R7nCWQbNMiag36fEsXhwLNLTGdXsj3mhyU9n+zpmUWuBf4aQFKPpF1T2QmSnpHKd5dUO/+1wGxJz039bwFuKDG/WZKGk8LJwH+kaU0bLlf2TuR9W4g3bwXwDmUvR0LSjOHloH49Nxr+R8ACSb2SdgGOabJMb0jnJvYme63n2vyXKUl/E/gk8IuIuC999dMUD2Q7Bz9O3X8kO7IZtgvw23S0+eYmcQzbZvyIuInsKPNk4NIS41uHOFlYSyJiDdmPeyAihptfvgb0SVpN1uxS5pHJ3wW2T80N5wGNmqry3gscnuazkuy9xXeQPfn2e5JuB74PPKsm5v8BTgWuTOM+DnyxxPzWAu9JMe4GfCGy12CeAHxc0m1kT9ltdHXTk+Ktiet7wNeBn6VhriJtOOvVc6PhI+IWsuRyG/AdskdgN3IP2VNMvwO8O9VNrcvJngCbb1L7W+DUVMdvScsG2StBFyq7eGBv4P8AN5G9Z6HMenA+8F1JP8yVXQH8JCIeKDG+dYifOmtWh6TZZCd99+tyKGNG0lfIlumqbsfSjKRryN4s6LfkVYiPLMysEiRNlfQrYNCJonp8ZGFmZoV8ZGFmZoWcLMzMrJCThZmZFXKyMDOzQk4WZmZW6P8DizQ1pctr3SkAAAAASUVORK5CYII=\n", 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RdfBOznYGixFgetX43iltG5KOBj4AvDgiHq5a9iU1y95Uu2xEXApcCllHgi3nsF6nXdV81pMp263Fg7vBxvvrp3dD2YJXmZXtWLLC2lkNtQiYLWmWpB2Ak4AF1TNIOhj4HHBsRNxbNWkh8HJJu6WG7ZentPFV74ywYqI1dln3lLEu3myctS1YRMRm4AyyH/lfA1dFxHJJF0g6Ns12CbALcLWk2yQtSMveD3yILOAsAi5IaeOr4ZmfJl5jVz/Z+EBr6e3munjrA21ts4iI7wLfrUk7r2r46CbLXgZc1r7ckZ351XvhebeqM6yYRt9bt87kXRdfXJme4LaW9PcT3EedBwM7PD794T/7TpYyK+OZ/ES+BbNTfNfYhNbfweKgE2GHXR6f/ugmP19RZhP9Yap+VbZbnq0lpbh1tqsa1XP7TpZy8101E4/vGpvQ+vvKAnwni1mn+H9tQnOwKGP9t1kv8v/ahOZg4fpvs87w/9qEpojWH3wuo6GhoRgeHu52NszMJhRJiyNiKG8+X1mYmVkuBwszM8vlYGFmZrkcLMzMLJeDhZmZ5XKwMDOzXA4WZmaWy31DmVnfunbJCJcsXME96zcydfIg8+fOYd7B07qdrVJysDCzvnTtkhHO+ebtbNy0BYCR9Rs555u3Azhg1OFqKDPrS5csXLE1UFRs3LSFSxau6FKOys3Bwsz60j3rN7aU3u8cLMysL02dPNhSer9zsDCzvjR/7hwGJw1skzY4aYD5c+d0KUfl5gZuM+tLlUZs3w1VjIOFmfWteQdPc3AoyNVQZmaWy1cWZtYxfghu4nKwMLOO8ENwxZQ1oLoaysw6wg/B5asE1JH1GwkeC6jXLhnpdtbyg4WkiyU9SdIkSddLWifplE5kzsx6hx+Cy1fmgFrkyuLlEfEn4FXAauCpwPx2ZsrMeo8fgstX5oBaJFhU2jX+Frg6Ih5sY37MrEf5Ibh8uw5Oain92iUjHHHRDcw6+zsccdENba2uKtLAfZ2k3wAbgXdImgL8tW05MrOe5Ifg8knF0zt9w0BusIiIsyVdDDwYEVsk/QU4btxzYmY9zw/BNbd+w6bC6c3aN9pRxkUauF8LbEqB4lzgK8DUIiuXdIykFZJWSjq7zvQXSfqlpM2STqiZtkXSbemzoOD+mJlNWK2063S6faNIm8U/RcSfJb0AOBr4PPCZvIUkDQCfAl4B7A+8XtL+NbPdDbwZ+FqdVWyMiGenz7EF8mlmNqG10q7T6RsGigSLynXO3wKXRsR3gB0KLHcosDIiVkXEI8AV1FRfRcTqiFgGPNpCns3MetK8g6fx4eMPZNrkQQRMmzzIh48/sG610vy5c5g0sG1jxqQBte2GgSIN3COSPge8DPiIpB0pFmSmAWuqxtcCh7WQt50kDQObgYsi4traGSSdDpwOMGPGjBZWbWZWTi2160TO+Dgq8qN/IrAQmBsR64Hd6cxzFvtExBBwMvBxSfvVzhARl0bEUEQMTZkypQNZMjMrh0sWrmDTo9tGh02PRtse4MsNFhGxAbgTmCvpDGCviPhBgXWPANOrxvdOaYVExEj6uwq4CTi46LJmZr2udA3ckt4FfBXYK32+IukfCqx7ETBb0ixJOwAnAYXuapK0W6ruQtKewBHAHUWWNTPrB2Vs4H4rcFhEnBcR5wGHA2/LWygiNgNnkFVh/Rq4KiKWS7pA0rEAkp4raS3wWuBzkpanxZ8BDEtaCtxI1mbhYGFmlnT6ifgiDdzisTuiSMMNnjPcVkR8F/huTdp5VcOLyKqnapf7GXBgkW2YWX3nXns7X791DVsiGJB4/WHTuXCe/62qlbU78CI6/UR8kWDxBeBWSd+q5JHsWQszK6lzr72dr9xy99bxLRFbxx0wMr3wfo1OPhFfpIH734HTgPvT57SI+Hi7M2Zmo/f1W9e0lN6PytwdeBk1vLKQtHvV6Or02TotIu5vX7bMbCy2RP0b7hul96MydwdeRs2qoRaTPeJRaZ+oHGVKw/u2MV9mNgYDUt3AMNCoW9MOKVMbwdTJg4zUCQx+v0Z9DauhImJWROyb/laGK+MOFGYl9vrDpreU3glle2Wo36/RGr+D26wHXTjvQE45fMbWK4kBiVMOn9HVxu2ytRG00g+TgaJH6jCHhoZieHi429kwswZmnf2dul0XCfj9RX/b6exYImlx6lqpKV9ZmFlH+B3cE1uhYCHpBZJOS8NTJM1qb7bMmuvku4dtfLiNYGLLfShP0geBIWAO2QN6k8jelndEe7NmVl8vPEzVj/wO7omtyBPcryHr8fWXABFxj6QntjVXZk10+t3DNn78Du6Jq0g11CORtYIHgKSd25sls+b8MJVZ5xUJFlelN+VNlvQ24EfAf7U3W2aNuaHUrPOK9A31UeAa4Btk7RbnRcR/tDtjZo24odSs85q2WUgaAH4UEUcCP+xMlsyac0OpWec1DRYRsUXSo5J2jYgHO5UpszxuKDXrrCJ3Qz0E3C7ph8BfKokRcWbbcmVmZqVSJFh8M33MzKxP5QaLiLi8ExkxM7PyKvIE92zgw8D+wE6VdHdTbmbWP4o8Z/EF4DPAZuBI4Etk3X2YmVmfKBIsBiPierLuzO+KiPMB9ydsZtZHijRwPyxpO+B3ks4ARoBd2pstMzMrkyJXFu8CngCcCRwCnAKc2s5MmZlZuTS8spD05Yh4I/D8iFhE9rzFaR3LmZmZlUazaqhDJE0F3iLpS2RvP9wqIu5va87MJpBrl4y4+xHrac2CxWeB64F9gcVsGywipZv1Pb+MyfpBwzaLiPhkRDwDuCwi9o2IWVUfBwqzpNnLmMx6RbM2i93T4AeqhrdyNZRZxi9jsn7QrBpqMenteNS0V+BqKLOtpk4eZKROYPDLmKyXNAwWETGrkxkxm6jmz53D/KuXsunR2Jo2aTv5ZUzWUxq2WUh6TrNPkZVLOkbSCkkrJZ1dZ/qLJP1S0mZJJ9RMO1XS79LHz3VYudVee9eOm01wzaqh/q3JtABe2mzF6S17nwJeBqwFFklaEBF3VM12N/Bm4KyaZXcHPggMpW0tTss+0Gyb1j/KdKvqJQtXsGlLbJO2aUtwycIVvhvKekazaqgjx7juQ4GVEbEKQNIVwHHA1mAREavTtEdrlp0L/LDSiJ5evHQM8PUx5sl6QNluVXUDt/WD3O4+JD1B0rmSLk3jsyW9qsC6pwFrqsbXprQiCi0r6XRJw5KG161bV3DVNtGV7VbVRg3ZbuC2XlK0i/JHgOen8RHgwrblqAURcWlEDEXE0JQpU7qdHeuQsp3Jz587h8FJA9ukDU4acAO39ZQiwWK/iLgY2AQQERso1nw3AkyvGt87pRUxlmWtx5XtTH7ewdP48PEHMm3yIAKmTR7kw8cf6PYK6ylFuih/RNIg6ZkLSfsBDxdYbhEwW9Issh/6k4CTC+ZrIfCvknZL4y8Hzim4rPW4+XPnbNNmAd0/k5938DQHB+tpRYLF+cD3gemSvgocQXYHU1MRsTm9/2IhMEDWbchySRcAwxGxQNJzgW8BuwGvlvTPEfHMiLhf0ofIAg7ABX5i3CoqP8pluRvKrB8oIvJnkvYADierfrolIv7Y7oy1amhoKIaHh7udDTOzCUXS4ogYypsv98pC0leAm4EfR8RvxiNzZmY2sRRp4P488BTgPyStkvQNSe9qc77MzKxEcq8sIuJGSf8DPBc4Eng78EzgE23Om5mZlUSRaqjrgZ2BnwM/Bp4bEfe2O2NWHmXqWsPMuqNINdQysofyDgAOAg5It9JaH6h0rTGyfiPBY11rXLvEj72Y9ZPcYBER74mIFwHHA/eRPdG9vt0Zs3IoW9caZtYdRaqhzgBeCBwCrAYuI6uOsj5Qtq41zKw7ijyUtxPw78DiiNjc5vxYyew6OIn1GzfVTTez/lHkbqiPdiIjVk5q0AtYo3Qz601FGritj63f8PirimbpZtabHCysqbL18Gpm3eFgYU35XQ1mBsUauK2PuYdXMwMHCyvA72owM1dDmZlZLgcLMzPL5WBhZma5HCzMzCyXG7hLxt2Bm1kZOViUSKU78Eovr5XuwAEHDDPrKldDlYi7AzezsnKwKJGRBt1+N0o3M+sUB4sSGWjQlWujdDOzTnGwKJEtES2lm5l1ioNFiUxr0JNro3Qzs05xsCgR9/BqZmXlW2dLxD28mllZOViUjHt4NbMycjWUmZnlcrAwM7NcDhZmZparrcFC0jGSVkhaKensOtN3lHRlmn6rpJkpfaakjZJuS5/PtjOfZmbWXNsauCUNAJ8CXgasBRZJWhARd1TN9lbggYh4qqSTgI8Ar0vT7oyIZ7crf2ZmVlw7rywOBVZGxKqIeAS4AjiuZp7jgMvT8DXAUZL7tjAzK5t2BotpwJqq8bUpre48EbEZeBDYI02bJWmJpJslvbDeBiSdLmlY0vC6devGN/dmZrZVWRu4/wDMiIiDgfcCX5P0pNqZIuLSiBiKiKEpU6Z0PJNmZv2incFiBJheNb53Sqs7j6TtgV2B+yLi4Yi4DyAiFgN3Ak9rY17NzKyJdgaLRcBsSbMk7QCcBCyomWcBcGoaPgG4ISJC0pTUQI6kfYHZwKo25tXMzJpo291QEbFZ0hnAQmAAuCwilku6ABiOiAXA54EvS1oJ3E8WUABeBFwgaRPwKPD2iLi/XXk1M7PmFD3yroShoaEYHh7udjbMzCYUSYsjYihvvrI2cJuZWYk4WJiZWS4HCzMzy+VgYWZmuRwszMwsl4OFmZnlcrAwM7NcDhZmZpbLwcLMzHI5WJiZWS4HCzMzy+VgYWZmuRwszMwsV9u6KJ+Irl0ywiULV3DP+o1MnTzI/LlzmHdw7Ztgzcz6j4NFcu2SEc755u1s3LQFgJH1Gznnm7cDOGCYWd9zNVRyycIVWwNFxcZNW7hk4You5cjMrDwcLJJ71m9sKd3MrJ84WCRTJw+2lG5m1k8cLJIjnz6lpXQzs37iYJHc+Jt1LaWbmfUTB4vEbRZmZo05WCRuszAza8zBIpk/dw6Dkwa2SRucNMD8uXO6lCMzs/LwQ3k89uT2xk1bGJDYEsE0P8FtZrZV3weL2ie3t0RsvaJwoDAzy/R9NZSf3DYzy9f3wcJ3QZmZ5ev7YLHr4KSW0s3M+lHfBwuptXQzs37U98Fi/YZNLaWbmfWjvg8WfhjPzCxfW4OFpGMkrZC0UtLZdabvKOnKNP1WSTOrpp2T0ldImtuuPM7c4/FBwQ/jmZltq23BQtIA8CngFcD+wOsl7V8z21uBByLiqcDHgI+kZfcHTgKeCRwDfDqtb1yde+3t/PTO+x+X/pwZu/oZCzOzKu28sjgUWBkRqyLiEeAK4LiaeY4DLk/D1wBHSVJKvyIiHo6I3wMr0/rG1ddvXVM3/ZZVD4z3pszMJrR2BotpQPWv8dqUVneeiNgMPAjsUXBZJJ0uaVjS8Lp1rXclviWipXQzs341oRu4I+LSiBiKiKEpU1p/SdFAg/tjG6WbmfWrdgaLEWB61fjeKa3uPJK2B3YF7iu47Ji9/rDpLaWbmfWrdgaLRcBsSbMk7UDWYL2gZp4FwKlp+ATghoiIlH5SultqFjAb+MV4Z/DCeQdyyuEztl5JDEiccvgMLpx34HhvysxsQmtbr7MRsVnSGcBCYAC4LCKWS7oAGI6IBcDngS9LWgncTxZQSPNdBdwBbAbeGRFb6m5ojC6cd6CDg5lZDkWPNOYODQ3F8PBwt7NhZjahSFocEUN5803oBm4zM+sMBwszM8vlYGFmZrkcLMzMLFfPNHBLWgfcNYZV7An8cZyy06tcRvlcRsW4nPJ1qoz2iYjcp5p7JliMlaThIncE9DOXUT6XUTEup3xlKyNXQ5mZWS4HCzMzy+Vg8ZhLu52BCcBllM9lVIzLKV+pyshtFmZmlstXFmZmlsvBwszMcvV8sJB0jKQVklZKOrvO9B0lXZmm3yppZtW0c1L6CklzO5nvThttOUl6maTFkm5Pf1/a6bx3yliOpTR9hqSHJJ3VqTx32hj/3w6S9HNJy9PxtFMn895JY/h/myTp8lQ+v5Z0TscyHRE9+yHrGv1OYF9gB2ApsH/NPH8PfDYNnwRcmYb3T/PvCMxK6xno9j6VsJwOBqam4QOAkW7vT9nKqGr6NcCtADEaAAAIQklEQVTVwFnd3p+ylRHZ6xKWAc9K43v4/61uOZ0MXJGGnwCsBmZ2It+9fmVxKLAyIlZFxCPAFcBxNfMcB1yehq8BjpKklH5FRDwcEb8HVqb19aJRl1NELImIe1L6cmBQ0o4dyXVnjeVYQtI84PdkZdSrxlJGLweWRcRSgIi4L9r0DpsSGEs5BbBzerPoIPAI8KdOZLrXg8U0YE3V+NqUVneeiNgMPEh2VlNk2V4xlnKq9v+AX0bEw23KZzeNuowk7QK8H/jnDuSzm8ZyHD0NCEkLJf1S0vs6kN9uGUs5XQP8BfgDcDfw0Yi4v90Zhja+Kc/6i6RnAh8hO0O0bZ0PfCwiHkoXGvZ42wMvAJ4LbACuTy/lub672SqdQ4EtwFRgN+DHkn4UEavaveFev7IYAaZXje+d0urOky7tdgXuK7hsrxhLOSFpb+BbwJsi4s6257Y7xlJGhwEXS1oNvBv4x/TK4V4zljJaC/xPRPwxIjYA3wWe0/Ycd8dYyulk4PsRsSki7gV+CnSk/6heDxaLgNmSZknagayhaEHNPAuAU9PwCcANkbUeLQBOSnclzAJmA7/oUL47bdTlJGky8B3g7Ij4acdy3HmjLqOIeGFEzIyImcDHgX+NiP/sVMY7aCz/bwuBAyU9If04vhi4o0P57rSxlNPdwEsBJO0MHA78piO57vadAe3+AK8Efkt298EHUtoFwLFpeCeyO1RWkgWDfauW/UBabgXwim7vSxnLCTiXrA71tqrPXt3enzKVUc06zqdH74YaaxkBp5DdAPAr4OJu70sZywnYJaUvJwum8zuVZ3f3YWZmuXq9GsrMzMaBg4WZmeVysDAzs1wOFmZmlsvBwszMcjlYWEdJ+m56NqMUJL0w9XJ6m6TBDm3zZ21e//mt9GwraUjSJ0e5rXmS9m8lT5IukHR0Gn63pCeMZtvWWQ4W1hHKbBcRr4yI9d3OT5U3AB+OiGdHxMbxWml6sKyuiHj+eG1nPETEcEScOcrF55H10NzK9s6LiB+l0XeT9Z5qJedgYYVJukjSO6vGz5d0lqRdJF2fOoC7XdJxafrM1Gf/l8getJouabWkPdP0a5W9A2O5pNOr1vuQpH+RtFTSLZKenNKfLOlbKX2ppOen9FMk/SJdHXxO0kCdvB8laUnK32Xpyfy/A04EPiTpqzXzz5T0G0lfTe8NuKZyBizpEEk3p7wvlPSUlH6TpI9LGgbe1SS/D1VtZ76kRZKWSfrnZuXcaP6U/gFJv5X0E2BOg+/vi5I+K2k4zfuqlP4SSddJ2i59P5Orlvld2o+Zkm5I271e2bs5ng8cC1ySyn4/SW9L+Vsq6Rv1rhpSPk6QdCZZH0c3SrpR0lskfbxqvrdJ+li9fbEu6PaTjP5MnA/Zuyturhq/g6z/mu2BJ6W0PcmeOhUwE3gUOLxqmdXAnml49/R3kCyY7JHGA3h1Gr4YODcNXwm8Ow0PkPWX8wzg28CklP5psj6qqvO9E1kPnk9L41+qWs8XgRPq7OvMlI8j0vhlwFnAJOBnwJSU/jrgsjR8E/DpqnU8Lr9p+KH09+XApamstgOuA17UpJwbzX8IcDvZGfqTUvk/7inxtK/fT8vOJuuPaSfgJcB1aZ5PAKel4cOAH6XhbwOnpuG3ANfWK7/Kd5iGLwT+IQ2fX8lT9TJsezzsQvZEc+W7/BlwYLePe3+yj3udtcIiYomkvSRNBaYAD0TEGkmTgH+V9CKy4DANeHJa7K6IuKXBKs+U9Jo0PJ3sB+w+sj76r0vpi4GXpeGXAm9KedkCPCjpjWQ/louU9eg6CNxbs505wO8j4rdp/HLgnWT9NDWzJh7r7+orwJlkP7YHAD9M2xsg6y664sqq4cflt2b9L0+fJWl8F2B2RHy+QTm/q978wBOBb0XWAR+SavsZqnZVRDwK/E7SKuDpNdOvBM4DvkB66U5Kfx5wfBr+MlkQr+cASRcCk1P+FjbJyzYi65X3BuBVkn5NFjRuL7q8tZeDhbXqarKOzf6Gx35I3kD2o3ZIRGxS1rtq5ZWYf6m3EkkvAY4GnhcRGyTdVLXMpkinlmTdMTc7TgVcHhHteL1kbV84kba3PCKe12CZuvvbgMjaSz5XZ1q9cq47v6R3t7DNevtU7efAUyVNIWuPuLCFdUN21TAvIpZKejPZVUsr/hv4R7LO8b7Q4rLWRm6zsFZdSXbGeQLZDxpk1UH3pkBxJLBPgfXsSnbGvEHS08l6z8xzPfAOAEkDknZNaSdI2iul7y6pdvsrgJmSnprG3wjcXGB7MyRVgsLJwE/SuqZU0pW9E/mZLeS32kLgLcpejoSkaZX9oH45N5r/f4B5kgYlPRF4dZN9em1qm9iP7LWeK6onpiD9LeDfgV9HxH1p0s9SfiA7OfhxGv4z2ZVNxROBP6SrzTc0yUfFNstHxK1kV5knA18vsLx1iIOFtSQilpP9c49ERKX65avAkKTbyapdinSZ/H1g+1TdcBHQqKqq2ruAI9N2FpO9t/gOsp5vfyBpGfBD4Ck1ef4rcBpwdVr2UeCzBba3AnhnyuNuwGciew3mCcBHJC0l62W30d1Nj8tvTb5+AHwN+Hma5xrSD2e9cm40f0T8kiy4LAW+R9YFdiN3k/Vi+j3g7alsal1J1gNsdZXaPwCnpTJ+Y9o3yF4JOl/ZzQP7Af8E3Er2noUix8GlwPcl3ViVdhXw04h4oMDy1iHuddasDkkzyRp9D+hyVsaNpC+S7dM13c5LM5KuI3uzoN+SVyK+sjCzUpA0WdJvgY0OFOXjKwszM8vlKwszM8vlYGFmZrkcLMzMLJeDhZmZ5XKwMDOzXP8f7n+6HC+eJhIAAAAASUVORK5CYII=\n", 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\n", 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rXn6GwEarrM/HlJSvLMysN7k6sylOFmbWm1yd2RRXQ5lZ73J1ZmFOFmZmXWreoiHOXbCMB1avYfLEfubMmsHsPeu9NmjknCzMzLrQvEVDnHrVnaxZm/UFNbR6DadedSdASxKG2yzMzLrQuQuWPZsohq1Zu45zFyxryfacLMzMutADq6u/WqHW+NFysjAz60KTJ/Y3NX60nCzMzLrQ/i+d1NT40XKyMDPrQjf9dlVT40fLycLMrAu5zcLMzBpym4WZmTU0Z9YM+ids+ArV/gl9zJk1oyXb80N5ZmZdaPjBOz/BbWbWg5rpwmP2nlNalhwqOVmYmZVEu7vwaIbbLMzMSqLdXXg0w8nCzKwk2n07bDOcLMzMSqLdt8M2w8nCzKwk2n07bDPcwG1mVhLtvh22GU4WZmYl0s7bYZvhaigzM2vIycLMzBpysjAzs4acLMzMrCEnCzMza6ild0NJOhj4CtAHfDMizq6Y/gbgy8AewNERcUVu2jrgzvT1vog4vJWxmlnrNdNJXq8qaxm1LFlI6gO+CrwRuB+4Q9L8iLgrN9t9wLuBk6usYk1EvKJV8ZlZe5W5k7yyKHMZtbIaam9geUTcExFPAZcAR+RniIgVEbEEeKaFcZj1pHmLhtj37BvZ6ZT/Zt+zb2TeoqGOxlPmTvLKosxl1MpkMQVYmft+fxpX1GaSBiX9XNLsajNIOiHNM7hqVWteUm7WjYbPUIdWryFYf4bayYRR5k7yyqLMZVTmBu4dI2IAOAb4sqSdK2eIiAsiYiAiBiZNmtT+CM1KqoxnqGXuJK8sylxGDZOFpHMkPU/SBEk3SFol6dgC6x4Cpua+75DGFRIRQ+nfe4CbgT2LLmvW68p4hlrmTvLKosxlVOTK4k0R8RfgUGAF8GJgToHl7gB2kbSTpE2Ao4H5RYKStI2kTdPw9sC+wF31lzKzYWU8Q5295xTOOnImUyb2I2DKxH7OOnJmxxtuy6TMZVTkbqjhef4BuDwiHpXUcKGIeFrSicACsltnL4yIpZLOAAYjYr6kVwFXA9sAh0k6PSJ2A14GfEPSM2QJ7eyKu6jMrI45s2ZscFcNlOMMtWyd5JXxNtWyldGwIsniWkm/BdYAH5A0CfhbkZVHxHXAdRXjTssN30FWPVW53E+BmUW2YWbPVdaursv041zm21TLSBHReCZpW+DRiFgnaXPgeRHxp5ZH14SBgYEYHBzsdBhmVkPljzNkVzudqmbZ9+wbGarShjNlYj+3nXJA2+PpFEkL081EdRVp4P5HYG1KFJ8CvgtMHoMYzayHlO0OrTLeBFBmRRq4Px0Rf5X0OuAg4FvA11sblpmNN2X7cS7jTQBlViRZDJ8K/ANwQUT8N7BJ60Iys/GobD/OZb5NtYyKJIshSd8A/gm4Lt3SWuaH+cyshMr24zx7zym8da8p9KW7O/sk3rpXOe9EKoMid0O9DTgY+EJErJb0Qoo9Z2HWM8p0l09Zle0OrXmLhrhy4RDr0k0+6yK4cuEQAztu6/+7KoreDfVy4PXp660RsbilUY2A74ayTpm3aIg5Vyxm7br1f0sT+sS5R73cPzol5ruhMmN5N9SHge8Bz0+f70r60OhDNBsfTr9m6QaJAmDtuuD0a5Z2KCIromwN7mVXpBrqvcA+EfE4gKTPAz8D/r2VgZl1i0eeWNvUeCuHyRP7q15Z+G6o6oo0VIv1d0SRhhv392FmVmJla3AvuyJXFhcBt0u6On2fTfashZkBE/snsHrNc68iJvZP6EA0VlTZGtzLrmGyiIgvSroZeF0adXxELGppVGZdZO7huzHn8sWsfSbXwL2RmHv4bh2Myoooa6d9ZVQzWaT+oIatSJ9np0XEw60Ly6x7+AzVekG9K4uFQLC+fWL4tElp+EUtjMusq/gM1ca7mskiInZqZyBmZlZe7rbDzMwaKnI3lJl1IXdBYmPJycK6kn8I6/Nb4GysFaqGkvQ6Scen4UmS3J5hHTNv0RBzLl/M0Oo1BNkP4ZzLFzNv0VCnQyuNsr1oyLpfkb6hPgN8Ajg1jZpA9rY8s46YO3/pBs80AKx9Jpg7330xDXO/RzbWilxZvAU4HHgcICIeALZqZVBm9VR7Wrre+F5UthcNWfcrkiyeiqwf8wCQtEVrQzKz0XK/RzbWiiSLy9Kb8iZKeh/wY+A/WxuWWW3bbF69z6Va43vR7D2ncNaRM5kysR+RvaPhrCNnunHbRqxI31BfkPRG4C/ADOC0iLi+5ZGZ1fCZw3ar+rKhzxzmvpjy/FS5jaW6yUJSH/DjiNgfcIKwUnBfTGbtVzdZRMQ6Sc9I2joiHm1XUGaN+KzZrL2KPJT3GHCnpOtJd0QBRMRJLYvKzMxKpUiyuCp9zMysRxVp4L64HYGYmVl5NUwWknYBzgJ2BTYbHh8Rfp+FmVmPKPKcxUXA14Gngf2B/8LdfZiZ9ZQiyaI/Im4AFBH3RsRc4B9aG5aZmZVJkQbuJyVtBPxe0onAELBla8MyM7MyKXJl8WFgc+AkYC/gWOC4VgZlZmblUjNZSPpOGnxtRDwWEfdHxPER8daI+HmRlUs6WNIyScslnVJl+hsk/VLS05KOqph2nKTfp4+Tk5lZB9W7sthL0mTgPZK2kbRt/tNoxamrkK8Ch5DdSfV2SbtWzHYf8G7g+xXLbgt8BtgH2Bv4jKRtiu6UmZmNrXptFucDNwAvAhYCyk2LNL6evYHlEXEPgKRLgCOAu55dScSKNO2ZimVnAddHxMNp+vXAwcAPGmzTzMxaoOaVRUScFxEvAy6MiBdFxE65T5FnLKYAK3Pf70/jihjNsmZmNsZqXlnkqpo+Wa3aafisv5MknQCcADBt2rQOR2NmNn7Vq4ZaSHo7HhtWQUGxaqghYGru+w5pXBFDwH4Vy95cOVNEXABcADAwMBCV083MbGzUTBYRsdMo130HsIuknch+/I8Gjim47ALgc7lG7TcBp44yHjMzG6F61VCvrLdgRPyywfSn00N8C4A+sraPpZLOAAYjYr6kVwFXA9sAh0k6PSJ2i4iHJX2WLOEAnFGGai8zs16liOq1N5JuqrNcRMQBrQlpZAYGBmJwcLDTYYxL8xYN+a10ZuOUpIURMdBovnrVUPuPbUjWjeYtGuLUq+5kzdp1AAytXsOpV90J4IRh1kMadvchaXNJn5J0Qfq+i6RDWx+alcG5C5Y9myiGrVm7jnMXLOtQRGbWCUW7KH8KeG36PgSc2bKIrFQeWL2mqfFmNj4VSRY7R8Q5wFqAiHiC595Ka+PU5In9TY03s/GpSLJ4SlI/6ZkLSTsDT7Y0KiuNObNm0D+hb4Nx/RP6mDNrRociMrNOKPI+i7nAj4Cpkr4H7EvW+Z/1gOFGbN8NZdbbat46u8FM0nbAq8mqn34eEX9udWDN8q2zZmbNG/Wts7kVfRe4Bbg1In47FsFZbX6mwczKqEibxbeAFwL/LukeSVdK+nCL4+pJw880DK1eQ7D+mYZ5i4p2qWVm1hoNk0VE3AT8G/Bp4D+BAeADLY6rJ/mZBjMrqyLVUDcAWwA/A24FXhURD7Y6sF7kZxrMrKyKVEMtIXsob3dgD2D3dCutjTE/02BmZVWkGuqjEfEG4EjgIbInule3OrBe5GcazKysilRDnQi8HtgLWAFcSFYdZWPMzzSYWVkVeShvM+CLwMKIeLrF8fS82XtOcXIws9JpmCwi4gvtCMTMzMqrSAO3mZn1OCcLMzNryMnCzMwaKtLAbT3O/VWZmZOF1eV3cJsZuBrKGnB/VWYGThbWgPurMjNwsrAG3F+VmYGThTXg/qrMDNzAbQ24vyozAycLK8D9VZmZq6HMzKwhJwszM2vIycLMzBpysjAzs4bcwF0y7ofJzMrIyaJE3A+TmZWVq6FKxP0wmVlZOVmUiPthMrOyammykHSwpGWSlks6pcr0TSVdmqbfLml6Gj9d0hpJv0qf81sZZ1m4HyYzK6uWJQtJfcBXgUOAXYG3S9q1Yrb3Ao9ExIuBLwGfz027OyJekT7vb1WcZeJ+mMysrFp5ZbE3sDwi7omIp4BLgCMq5jkCuDgNXwEcKEktjKnUZu85hbOOnMmUif0ImDKxn7OOnOnGbTPruFbeDTUFWJn7fj+wT615IuJpSY8C26VpO0laBPwF+FRE3Fq5AUknACcATJs2bWyj7xD3w2RmZVTWBu4/AtMiYk/gY8D3JT2vcqaIuCAiBiJiYNKkSW0P0sysV7QyWQwBU3Pfd0jjqs4jaWNga+ChiHgyIh4CiIiFwN3AS1oYq5mZ1dHKZHEHsIuknSRtAhwNzK+YZz5wXBo+CrgxIkLSpNRAjqQXAbsA97QwVjMzq6NlbRapDeJEYAHQB1wYEUslnQEMRsR84FvAdyQtBx4mSygAbwDOkLQWeAZ4f0Q83KpYzcysPkVEp2MYEwMDAzE4ONjpMMzMuoqkhREx0Gi+sjZwm5lZiThZmJlZQ04WZmbWkJOFmZk15GRhZmYNOVmYmVlDThZmZtaQk4WZmTXkZGFmZg05WZiZWUNOFmZm1lArX37UdeYtGuLcBct4YPUaJk/sZ86sGX4RkZkZThbPmrdoiFOvupM1a9cBMLR6DadedSeAE4aZ9TxXQyXnLlj2bKIYtmbtOs5dsKxDEZmZlYeTRTK0ek1T483MeomTRdInNTXezKyXOFkk62q8BKrWeDOzXuJkkUyZ2N/UeDOzXuJkkcyZNYP+CX0bjOuf0MecWTM6FJGZWXn41tlk+PZYP2dhZvZcThY5s/ec4uRgZlaFq6HMzKwhJwszM2vIycLMzBpymwXuQNDMrJGeTxbuQNDMrLGer4ZyB4JmZo31fLJ4oEZHgbXGm5n1op5PFpNrdOdRa7yZWS/q+WQxZ9YMJvRt2LPshD65mw8zs5yeTxYAVHYs645mzcw20PPJ4twFy1j7zIbZYe0z4QZuM7Ocnk8WbuA2M2us55OFG7jNzBprabKQdLCkZZKWSzqlyvRNJV2apt8uaXpu2qlp/DJJs1oV4/TtnpsU/B4LM7MNtSxZSOoDvgocAuwKvF3SrhWzvRd4JCJeDHwJ+HxadlfgaGA34GDga2l9Y+pT8+7ktrsffs74V07b2k9vm5nltPLKYm9geUTcExFPAZcAR1TMcwRwcRq+AjhQktL4SyLiyYj4A7A8rW9M/eD2lVXH//yeR8Z6U2ZmXa2VyWIKkP81vj+NqzpPRDwNPApsV3BZJJ0gaVDS4KpVq5oOcF1Uv0e21ngzs17V1Q3cEXFBRAxExMCkSZOaXr5Pamq8mVmvamWyGAKm5r7vkMZVnUfSxsDWwEMFlx21t+8ztanxZma9qpXJ4g5gF0k7SdqErMF6fsU884Hj0vBRwI0REWn80eluqZ2AXYBfjHWAZ86eybGvnvbslUSfxLGvnsaZs2eO9abMzLpay95nERFPSzoRWAD0ARdGxFJJZwCDETEf+BbwHUnLgYfJEgppvsuAu4CngQ9GxLqqGxqlM2fPdHIwM2tAMU4acwcGBmJwcLDTYZiZdRVJCyNioNF8Xd3AbWZm7eFkYWZmDTlZmJlZQ04WZmbW0Lhp4Ja0Crh3FKvYHvjzGIUzXrmMGnMZFeNyaqxdZbRjRDR8qnncJIvRkjRY5I6AXuYyasxlVIzLqbGylZGroczMrCEnCzMza8jJYr0LOh1AF3AZNeYyKsbl1FipyshtFmZm1pCvLMzMrCEnCzMza2jcJwtJB0taJmm5pFOqTN9U0qVp+u2SpuemnZrGL5M0q51xt9tIy0nSGyUtlHRn+veAdsfeLqM5ltL0aZIek3Ryu2Jut1H+ve0h6WeSlqbjabN2xt5Oo/h7myDp4lQ+v5F0atuCjohx+yHrGv1u4EXAJsBiYNeKef4FOD8NHw1cmoZ3TfNvCuyU1tPX6X0qYTntCUxOw7sDQ53en7KVUW76FcDlwMmd3p+ylRHZ6xKWAC9P37fz31vVcjoGuCQNbw6sAKa3I+7xfmWxN7A8Iu6JiKeAS4AjKuY5Arg4DV8BHChJafwlEfFkRPwBWJ7WNx6NuJwiYlFEPJDGLwX6JW3alqjbazTHEpJmA38gK6PxajRl9CZgSUQsBoiIh6JF77ApgdGUUwBbpDeL9gNPAX9pR9DjPVlMAVbmvt+fxlWdJyIdSQusAAAHoUlEQVSeBh4lO6spsux4MZpyynsr8MuIeLJFcXbSiMtI0pbAJ4DT2xBnJ43mOHoJEJIWSPqlpI+3Id5OGU05XQE8DvwRuA/4QkQ83OqAoYVvyrPeImk34PNkZ4i2obnAlyLisXShYc+1MfA64FXAE8AN6aU8N3Q2rNLZG1gHTAa2AW6V9OOIuKfVGx7vVxZDwNTc9x3SuKrzpEu7rYGHCi47XoymnJC0A3A18K6IuLvl0XbGaMpoH+AcSSuAjwD/ml45PN6MpozuB/43Iv4cEU8A1wGvbHnEnTGacjoG+FFErI2IB4HbgLb0HzXek8UdwC6SdpK0CVlD0fyKeeYDx6Xho4AbI2s9mg8cne5K2AnYBfhFm+JutxGXk6SJwH8Dp0TEbW2LuP1GXEYR8fqImB4R04EvA5+LiP9oV+BtNJq/twXATEmbpx/HvwfualPc7TaacroPOABA0hbAq4HftiXqTt8Z0OoP8Gbgd2R3H3wyjTsDODwNb0Z2h8pysmTwotyyn0zLLQMO6fS+lLGcgE+R1aH+Kvd5fqf3p0xlVLGOuYzTu6FGW0bAsWQ3APwaOKfT+1LGcgK2TOOXkiXTOe2K2d19mJlZQ+O9GsrMzMaAk4WZmTXkZGFmZg05WZiZWUNOFmZm1pCThbWVpOvSsxmlIOn1qZfTX0nqb9M2f9ri9c9tpmdbSQOSzhvhtmZL2rWZmCSdIemgNPwRSZuPZNvWXk4W1hbKbBQRb46I1Z2OJ+cdwFkR8YqIWDNWK00PllUVEa8dq+2MhYgYjIiTRrj4bLIempvZ3mkR8eP09SNkvadayTlZWGGSzpb0wdz3uZJOlrSlpBtSB3B3SjoiTZ+e+uz/L7IHraZKWiFp+zR9nrJ3YCyVdEJuvY9J+jdJiyX9XNIL0vgXSLo6jV8s6bVp/LGSfpGuDr4hqa9K7AdKWpTiuzA9mf/PwNuAz0r6XsX80yX9VtL30nsDrhg+A5a0l6RbUuwLJL0wjb9Z0pclDQIfrhPvY7ntzJF0h6Qlkk6vV8615k/jPynpd5J+Asyo8f/3bUnnSxpM8x6axu8n6VpJG6X/n4m5ZX6f9mO6pBvTdm9Q9m6O1wKHA+emst9Z0vtSfIslXVntqiHFcZSkk8j6OLpJ0k2S3iPpy7n53ifpS9X2xTqg008y+tM9H7J3V9yS+34XWf81GwPPS+O2J3vqVMB04Bng1bllVgDbp+Ft07/9ZMlku/Q9gMPS8DnAp9LwpcBH0nAfWX85LwOuASak8V8j66MqH/dmZD14viR9/6/cer4NHFVlX6enOPZN3y8ETgYmAD8FJqXx/wRcmIZvBr6WW8dz4k3Dj6V/3wRckMpqI+Ba4A11yrnW/HsBd5KdoT8vlf9znhJP+/qjtOwuZP0xbQbsB1yb5vkKcHwa3gf4cRq+BjguDb8HmFet/Ib/D9PwmcCH0vDc4Zjyy7Dh8bAl2RPNw/+XPwVmdvq49yf7uNdZKywiFkl6vqTJwCTgkYhYKWkC8DlJbyBLDlOAF6TF7o2In9dY5UmS3pKGp5L9gD1E1kf/tWn8QuCNafgA4F0plnXAo5LeSfZjeYeyHl37gQcrtjMD+ENE/C59vxj4IFk/TfWsjPX9XX0XOInsx3Z34Pq0vT6y7qKHXZobfk68Fet/U/osSt+3BHaJiG/VKOcPV5sf2Aq4OrIO+JBU2c9Q3mUR8Qzwe0n3AC+tmH4pcBpwEemlO2n8a4Aj0/B3yJJ4NbtLOhOYmOJbUCeWDUTWK++NwKGSfkOWNO4sury1lpOFNetyso7N/o71PyTvIPtR2ysi1irrXXX4lZiPV1uJpP2Ag4DXRMQTkm7OLbM20qklWXfM9Y5TARdHRCteL1nZF06k7S2NiNfUWKbq/tYgsvaSb1SZVq2cq84v6SNNbLPaPuX9DHixpElk7RFnNrFuyK4aZkfEYknvJrtqacY3gX8l6xzvoiaXtRZym4U161KyM86jyH7QIKsOejAliv2BHQusZ2uyM+YnJL2UrPfMRm4APgAgqU/S1mncUZKen8ZvK6ly+8uA6ZJenL6/E7ilwPamSRpOCscAP0nrmjQ8Xtk7kXdrIt68BcB7lL0cCUlThveD6uVca/7/BWZL6pe0FXBYnX36x9Q2sTPZaz2X5SemJH018EXgNxHxUJr00xQPZCcHt6bhv5Jd2QzbCvhjutp8R504hm2wfETcTnaVeQzwgwLLW5s4WVhTImIp2R/3UEQMV798DxiQdCdZtUuRLpN/BGycqhvOBmpVVeV9GNg/bWch2XuL7yLr+fZ/JC0BrgdeWBHz34DjgcvTss8A5xfY3jLggynGbYCvR/YazKOAz0taTNbLbq27m54Tb0Vc/wN8H/hZmucK0g9ntXKuNX9E/JIsuSwGfkjWBXYt95H1YvpD4P2pbCpdStYDbL5K7UPA8amM35n2DbJXgs5RdvPAzsCngdvJ3rNQ5Di4APiRpJty4y4DbouIRwosb23iXmfNqpA0nazRd/cOhzJmJH2bbJ+u6HQs9Ui6luzNgn5LXon4ysLMSkHSREm/A9Y4UZSPryzMzKwhX1mYmVlDThZmZtaQk4WZmTXkZGFmZg05WZiZWUP/H4T2OIZ/JasAAAAAAElFTkSuQmCC\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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J2bg13N7ks7fmeviou2N6+LKyk0mZuDVcG8/8ZtN8evTAxMmkTHxN2cazHj7qLqv5i4e4dOEKHl4/zNTJ/cydPYs5hzVqtap9nEzKxNeUbbzr0aPuMpq/eIjzb1rG8Kbs7rih9cOcf9MygK4kFFfAl4kfEDSznC5duOLpRDJieNNmLl24oivxOJmUSQ/fyWFmnfXw+uGWytvNyaRMytq8g5mVztTJ/S2Vt5vrTMrG15TNLIe5s2dtU2cC0D+pj7mzZ3UlHicTM7MeNFLJ7ru5zMyskDmHTeta8qjmZGJmViJlenakFU4mZmYlUbZnR1rhu7nMzEqibM+OtMLJxMysJMr27EgrnEzMzEqibM+OtMLJxMw6Zv7iIY66+Db2P++bHHXxbcxfPNTtkEpl7uxZ9E/q26asm8+OtMIV8GbWEb1cudwpcw6bxuCD6/jq3avZHEGfxF8eXv/23zLd+eUzEzPriF6uXO6U+YuH+NqiITZHALA5gq8tGqp5BjeSnIfWDxNsTc7dOttzMjGzjujlyuVOaSXhli05O5mYWUf0cuVyp7SScMuWnJ1MzKwjerlyuVNaSbhlS85OJmbWEXMOm8bH33QI0yb3I2Da5H4+/qZDXPleoZWEW7bk7Lu5zKxjytQwYRm10hJw2VoNVqS7BnrdwMBADA4OdjsMM7OeImlRRAwUnY8vc5mZWWFOJmZmVpiTiZmZFeZkYmZmhTmZmJlZYb412Mw6pkwNE9rYcjIxs45wq8Hjmy9zmVlHlK1hQhtbbU0mko6XtELSSknn1Rj+Kkk/lfSUpJOrhm2W9LP0WdDOOM2s/crWMKGNrbZd5pLUB1wOvBZYA9wjaUFE3Fsx2kPAO4BzasxiOCJe0q74zKyzpk7uZ6hG4nCrweNDO89MjgBWRsQDEbERuBY4qXKEiFgVEUuBLW2Mw8xKoGwNE9rYamcymQasruhfk8ry2kXSoKS7JM2pNYKkM9M4g2vXri0Sq5m1mVsNHt/KfDfXfhExJOm5wG2SlkXE/ZUjRMQVwBWQNfTYjSDNLD+3Gjx+tTOZDAHTK/r3TWW5RMRQ+vuApDuAw4D7G05kZtYCP/cydtp5mese4ABJ+0vaCTgFyHVXlqS9JO2cuvcBjgLubTyVmVl+I8+9DK0fJtj63Mv8xbmPea1C02Qi6ROSniFpkqRbJa2VdFqz6SLiKeAsYCHwC+D6iFgu6UJJb0jzfqmkNcCbgc9LWp4mfxEwKGkJcDtwcdVdYGZmhfi5l7GV5zLX6yLig5LeCKwC3gR8H/hSswkj4lvAt6rKLqjovofs8lf1dD8CDskRm5nZqPi5l7GV5zLXSML5C+CGiNjQxnjMzDqi3vMtfu5ldPIkk5sl3QccDtwqaQrwx/aGZWZFzV88xFEX38b+532Toy6+zXUBVY554ZSWyq2xppe5IuI8SZ8ANkTEZkmPU/XwoZmVixtVbO72+2o/m1av3BrLUwH/ZmBTSiQfJqsrmdr2yMxs1Fy53JzrTMZWnstc/xQRf5D0CuA44AvAf7Q3LDMrwj+UzbnOZGzlSSYjhzd/AVwREd8EdmpfSGZWlH8om3NbYWMrTzIZkvR54K3At9LDhH4PilmJ+YeyObcVNrYU0bhJK0m7AscDyyLiV5KeAxwSEd/pRIB5DQwMxODgYLfDMCsNNxVieUhaFBEDReeT526uJyTdD8yWNBv4QdkSiZltz40qWifluZvrfcCXgWelz5ck/X27AzMzs96RpzmVdwEvi4jHASRdAvwY+Ld2BmZmZr0jT0W62HpHF6lb7QnHzMx6UZ4zk6uAuyV9PfXPIXvWxMzMDMhXAf/J9HKqV6SiMyJicVujMjOznlI3mUjau6J3Vfo8PSwi1rUvLDMz6yWNzkwWAcHW+pGRB1KUup/bxrjMzKyH1E0mEbF/JwMxM7PelacC3sx6kJ+At05yMjEbh/w+E+s0N9hoNg75fSbWabmSiaRXSDojdU+R5PoUsxLz+0ys05pe5pL0EWAAmEX2AOMksrctHtXe0Mx6R9nqJ6ZO7meoRuLw+0ysXfKcmbwReAPwOEBEPAzs0c6gzHrJSP3E0Pphgq31E/MXD3UtJr/PxDotTzLZGNlLTwJA0m7tDcmst5SxfsIvfrJOy3M31/XpTYuTJb0beCfwn+0Ny6x3lLV+wu8zsU7K0zbXv0p6LfB7snqTCyLiu22PzKxHuH7CrEkykdQHfC8ijgGcQMxqOOaFU/jSXQ/VLDebKBrWmUTEZmCLpD07FI9Zz7n9vrUtlZuNR3nqTB4Dlkn6LumOLoCIOLttUZn1kLLWmZh1Up5kclP6mJVGmZ7rcJ2JWb4K+Gs6EYhZXmVrd2ru7FnbxAN+psMmnqbPmUg6QNKNku6V9MDIpxPBmdVStuc6/EyHWf53wH8E+BRwDHAGbiDSuqiMdRR+psMmujxJoT8ibgUUEQ9GxDzgL9oblll9k3ed1FK5mbVfnjOTJyXtAPxK0lnAELB7e8Myqy+itXIza788ZybvA3YFzgYOB04DTs8zc0nHS1ohaaWk82oMf5Wkn0p6StLJVcNOl/Sr9Mm1PJsYNgxvaqnczNqvbjKR9MXU+fKIeCwi1kTEGRHxlxFxV7MZp6fnLwdOAA4E3ibpwKrRHgLeAXylatq9yeppXgYcAXxE0l4518nGuXq33PpWXLPuaXRmcrikqcA7Je0lae/KT455HwGsjIgHImIjcC1wUuUIEbEqIpYCW6qmnQ18NyLWRcSjZE25HJ97rWxcc/PqZuXTqM7kc8CtwHOBRYAqhkUqb2QasLqifw3ZmUYetabd7lYZSWcCZwLMmDEj56yt143cNVWWhxbNrEEyiYjLgMsk/UdE/G0HY8otIq4ArgAYGBhw9esE4ltxzcqlbjKpuJT1oVqXtSJiXZN5DwHTK/r3TWV5DAFHV017R85pbYyVqekSMyunRpe5FpHersi2l7gg32Wue4ADJO1PlhxOAU7NGddC4F8qKt1fB5yfc1obQ/MXDzH3hiVs2pLtCkPrh5l7wxKgO02XmFk5NbrMtX+RGUfEU+m5lIVAH3BlRCyXdCEwGBELJL0U+DqwF3CipI9GxEERsU7Sx8gSEsCFOc6ErA3mLVj+dCIZsWlLMG/BcicTM3tao8tcf9powoj4abOZR8S3gG9VlV1Q0X0P2SWsWtNeCVzZbBnWXuvrPLtRr9zMJqZGl7n+T4NhAbxmjGMxM7Me1egy1zGdDMTKaa9dJ/HoE9ufhezldrDMrEKeJuh3lfRhSVek/gMkvb79oVkZfOTEg5jUt+39F5P6xEdOPKhLEZlZGeVpm+sqYCPw8tQ/BFzUtoisVOYcNo1LT37xNu/quPTkF7vy3cy2kafV4OdFxFslvQ0gIp6QVH2rsI1jfkDQzJrJc2ayUVI/6ZkTSc8DnmxrVGZm1lPynJnMA74NTJf0ZeAospZ+zczMgBzJJCK+I2kRcCTZk/Dvi4jftT0yMzPrGU2TiaQvAXcCP4iI+9ofkpmZ9Zo8dSZfAJ4D/JukByR9TdL72hyXmZn1kDyXuW6X9H3gpcAxwHuAg4DPtDk2MzPrEXkuc90K7Ab8GPgB8NKI+G27AzMzs96R5zLXUrKHFg8GDgUOTrcKm5mZAfkuc/0DgKQ9yG4Jvgr4E2DntkZmZmY9I89lrrOAVwKHA6vImoX/QXvDmrj8VkMz60V5HlrcBfgksCginmpzPBPa/MVDnH/TMoY3bQaytxqef9MywG81NLNya1pnEhH/GhF3O5G036ULVzydSEYMb9rMpQtXdCkiM7N88lTAW4c8vH64pXIzs7JwMimRPftrv3CqXrmZWVk4mZRIvYb93eC/mZWdk0mJrK/xetxG5WZmZeFkUiJTJ9d+FrReuZlZWTiZlMjc2bPon9S3TVn/pD7mzp7VpYjMzPLJ85yJdcjIsyR+aNHMeo2TScn4fetm1ot8mcvMzApzMjEzs8KcTMzMrDAnEzMzK8zJxMzMCnMyMTOzwpxMzMysMCcTMzMrzMnEzMwKczIxM7PC2ppMJB0vaYWklZLOqzF8Z0nXpeF3S5qZymdKGpb0s/T5XDvjNDOzYtrWNpekPuBy4LXAGuAeSQsi4t6K0d4FPBoRz5d0CnAJ8NY07P6IeEm74jMzs7HTzjOTI4CVEfFARGwErgVOqhrnJOCa1H0jcKzk9wqamfWadiaTacDqiv41qazmOBHxFLABeGYatr+kxZLulPTKWguQdKakQUmDa9euHdvozcwst7JWwP8GmBERhwEfAL4i6RnVI0XEFRExEBEDU6ZM6XiQZmaWaWcyGQKmV/Tvm8pqjiNpR2BP4JGIeDIiHgGIiEXA/cAL2hirmZkV0M5kcg9wgKT9Je0EnAIsqBpnAXB66j4ZuC0iQtKUVIGPpOcCBwAPtDFWMzMroG13c0XEU5LOAhYCfcCVEbFc0oXAYEQsAL4AfFHSSmAdWcIBeBVwoaRNwBbgPRGxrl2xmplZMYqIbscwJgYGBmJwcLDbYZiZ9RRJiyJioOh8yloBb2ZmPcTJxMzMCnMyMTOzwpxMzMysMCcTMzMrzMnEzMwKczIxM7PCnEzMzKwwJxMzMyvMycTMzApzMjEzs8KcTMzMrDAnEzMzK8zJxMzMCnMyMTOzwpxMzMysMCcTMzMrzMnEzMwKczIxM7PCnEzMzKywHbsdQJnMXzzEpQtX8PD6YaZO7mfu7FnMOWxat8MyMys9J5Nk/uIhzr9pGcObNgMwtH6Y829aBuCEYmbWhC9zJZcuXPF0IhkxvGkzly5c0aWIzMx6h5NJMrR+uKVyMzPbyskk6ZNaKjczs62cTMjqSzZH1BxWr9zMzLaa8MlkpOK9nmmT+zsYjZlZb5rwyaRWxfuI/kl9zJ09q8MRmZn1ngmfTB5uUMH+8Tcd4tuCzcxymPDJZGqdy1jTJvc7kZiZ5TThk8kxL5zSUrmZmW1vwieT2+9b21K5mZltb8Ink3p1Jo3qUszMbFsTPpnUqzOpV25mZtub8Ml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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "for n_voters in df['number-of-voters'].unique():\n", + " df_qv = df[(df['number-of-voters'] == n_voters) & (df['voting-mechanism'] == \"QV\")].sort_values('variance-of-perceived-pivotality')\n", + " df_1p1v = df[(df['number-of-voters'] == n_voters) & (df['voting-mechanism'] == \"1p1v\")]\n", + " plt.plot(df_qv['variance-of-perceived-pivotality'], df_qv['wellfare-loss'], 'o')\n", + " plt.plot(df_1p1v['variance-of-perceived-pivotality'], df_1p1v['wellfare-loss'], 'o')\n", + " plt.xlabel('variance of percieved pivotality')\n", + " plt.ylabel('wellfare loss')\n", + " plt.title('wellfare loss vs perceived pivotality, n_voters={}; $\\mu$=0'.format(n_voters))\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true + }, + "source": [ + "# Wellfare Loss Prop 8 Calibration\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hidden": true + }, + "source": [ + "## The Data" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 97, + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [ + "df8 = pd.read_csv('2020.02.07 - QVoting-NormalizedPivotality 1p1v-vs-QV-prop8-mean>0.csv')\n", + "df8.rename(columns={'variance-of-perceived-pivotality': 'variance-of-pmp'}, inplace=True)\n", + "df8['wellfare-loss'] = 1 - df8['mean payoff-sign-list']\n", + "df8_1p1v = df8[(df8['voting-mechanism'] == \"1p1v\")]\n", + "df8_QV = df8[(df8['voting-mechanism'] == \"QV\")]" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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[run number]number-of-voterscalibrationmarginal-pivotalityvariance-of-ppvoting-mechanism[step]mean payoff-sign-listmean payoff-liststandard-deviation payoff-listmean vote-sum-liststandard-deviation vote-sum-listmean mean-median-same-sign-listwellfare-loss
01111. prop8-mean>00.50.00001p1v10000.7871.5137583.798378-0.3460003.3721890.7870.213
12111. prop8-mean>00.50.0000QV10001.0002.5866383.3591600.6020442.0328600.7800.000
23111. prop8-mean>00.50.00031p1v10000.7591.5398624.396764-0.6080003.2497530.7590.241
34111. prop8-mean>00.50.0003QV10000.9852.5856313.2560520.6533451.9821230.7700.015
45111. prop8-mean>00.50.00101p1v10000.8051.4770223.996354-0.3420003.3475730.8050.195
\n", + "
" + ], + "text/plain": [ + " [run number] number-of-voters calibration marginal-pivotality \\\n", + "0 1 11 1. prop8-mean>0 0.5 \n", + "1 2 11 1. prop8-mean>0 0.5 \n", + "2 3 11 1. prop8-mean>0 0.5 \n", + "3 4 11 1. prop8-mean>0 0.5 \n", + "4 5 11 1. prop8-mean>0 0.5 \n", + "\n", + " variance-of-pp voting-mechanism [step] mean payoff-sign-list \\\n", + "0 0.0000 1p1v 1000 0.787 \n", + "1 0.0000 QV 1000 1.000 \n", + "2 0.0003 1p1v 1000 0.759 \n", + "3 0.0003 QV 1000 0.985 \n", + "4 0.0010 1p1v 1000 0.805 \n", + "\n", + " mean payoff-list standard-deviation payoff-list mean vote-sum-list \\\n", + "0 1.513758 3.798378 -0.346000 \n", + "1 2.586638 3.359160 0.602044 \n", + "2 1.539862 4.396764 -0.608000 \n", + "3 2.585631 3.256052 0.653345 \n", + "4 1.477022 3.996354 -0.342000 \n", + "\n", + " standard-deviation vote-sum-list mean mean-median-same-sign-list \\\n", + "0 3.372189 0.787 \n", + "1 2.032860 0.780 \n", + "2 3.249753 0.759 \n", + "3 1.982123 0.770 \n", + "4 3.347573 0.805 \n", + "\n", + " wellfare-loss \n", + "0 0.213 \n", + "1 0.000 \n", + "2 0.241 \n", + "3 0.015 \n", + "4 0.195 " + ] + }, + "execution_count": 69, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df8[0:5]" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hidden": true + }, + "source": [ + "## Wellfare Loss of 1p1v and QV vs number of voters on one graph (for paper)" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [ + "adf_1p1v = df8_1p1v.groupby(['number-of-voters']).aggregate('mean').reset_index()\n", + "adf_1p1v['voting-mechanism'] = \"1p1v\"\n", + "adf_1p1v['PMP-color'] = 'NA'\n", + "\n", + "pdf_qv = df8_QV[df8_QV['variance-of-pmp'].isin([0.0003, 0.02, 0.083])].copy()\n", + "pdf_qv['PMP-color'] = pdf_qv['variance-of-pmp'].apply(lambda x: \"=\" + str(x))\n", + "\n", + "\n", + "\n", + "# QV RDRM voters\n", + "df10 = pd.read_csv('2020.07.10 QV-right-direction-random-magnitude-prop8.csv')\n", + "df10['wellfare-loss'] = 1 - df10['mean payoff-sign-list']\n", + "df10['PMP-color'] = 'QV-RDRM'\n", + "df10 = df10[pdf_qv.columns]\n", + "\n", + "#\n", + "\n", + "cdf = pdf_qv.append(df10, sort=False)\n", + "cdf = cdf.append(adf_1p1v, sort=False).reset_index()" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "f, ax1 = plt.subplots(figsize=(4, 3))\n", + "sns.scatterplot(x=\"number-of-voters\",\n", + " y=\"wellfare-loss\",\n", + " style='voting-mechanism',\n", + " data=cdf,\n", + " hue='PMP-color',\n", + " ax=ax1)\n", + "\n", + "ax1.set(xscale=\"log\",ylim=(0,1))\n", + "ax1.set_xlabel(\"Number of Voters (log scale)\", fontsize=12)\n", + "ax1.set_ylabel('Prop8 WL', fontsize=12)\n", + "ax1.tick_params(labelsize=10)\n", + "\n", + "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n", + "plt.savefig(\"figures/sQV_WL_vs_n_voters_prop8.png\", bbox_inches='tight', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "## Wellfare Loss of 1p1v vs number of voters" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 114, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Get mean across all data for same number of voters, since marginal pivotality doesn't matter for 1p1v\n", + "adf = df8_1p1v.groupby(['number-of-voters']).aggregate('mean').reset_index()\n", + "\n", + "# Plots\n", + "f, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 5))\n", + "sns.scatterplot(x=\"number-of-voters\", \n", + " y=\"wellfare-loss\",\n", + " data = adf,\n", + " ax=ax1)\n", + "\n", + "sns.scatterplot(x=\"number-of-voters\", \n", + " y=\"wellfare-loss\",\n", + " data = adf,\n", + " ax=ax2)\n", + "ax2.set(xscale=\"log\", xlabel = \"number-of-voters (log scale)\")\n", + "ax1.set(ylim=(0,1.01))\n", + "ax2.set(ylim=(0,1.01))\n", + "f.suptitle('1p1v wellfare loss vs n_voters - Prop 8 calibration $\\mu>0$')\n", + "plt.savefig('foo.png')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "## Wellfare loss of QV vs number of voters" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hidden": true + }, + "source": [ + "### Single Graph with Three variance-of-pp values " + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "pdf = df8_QV[df8_QV['variance-of-pp'].isin([0, 0.0003, 0.04, 0.083])]\n", + "f, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 5))\n", + "sns.scatterplot(x=\"number-of-voters\", y=\"wellfare-loss\",\n", + " hue='variance-of-pp',\n", + " palette=\"ch:r=-.2,d=.3_r\",\n", + " data=pdf, ax=ax1)\n", + "\n", + "sns.scatterplot(x=\"number-of-voters\", y=\"wellfare-loss\",\n", + " hue='variance-of-pp',\n", + " palette=\"ch:r=-.2,d=.3_r\",\n", + " data=pdf, ax=ax2)\n", + "ax2.set(xscale=\"log\", xlabel = \"number-of-voters (log scale)\")\n", + "\n", + "plt.setp(ax1.get_legend().get_texts(), fontsize='10') # for legend text\n", + "plt.setp(ax1.get_legend().get_title(), fontsize='10') # for legend title\n", + "plt.setp(ax2.get_legend().get_texts(), fontsize='10') # for legend text\n", + "plt.setp(ax2.get_legend().get_title(), fontsize='10') # for legend title\n", + "\n", + "f.suptitle(\"QV wellfare loss vs n voters\", y=1)\n", + "\n", + "f.tight_layout()\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hidden": true + }, + "source": [ + "### Separate Graphs for Each Variance-of-pp value" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": { + "hidden": true, + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "for pmp in sorted(df8_QV['variance-of-perceived-pivotality'].unique()):\n", + " pdf = df8_QV[df8_QV['variance-of-perceived-pivotality']==pmp]\n", + " f, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 4))\n", + " sns.scatterplot(x=\"number-of-voters\", y=\"wellfare-loss\",\n", + " data=pdf, ax=ax1)\n", + "\n", + " sns.scatterplot(x=\"number-of-voters\", y=\"wellfare-loss\",\n", + " data=pdf, ax=ax2)\n", + " ax2.set(xscale=\"log\", xlabel = \"number-of-voters (log scale)\")\n", + " \n", + " f.suptitle(\"QV wellfare loss vs n voters, pmp={}\".format(pmp))\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "## Wellfare loss of QV vs Variance of Percieved Pivotality" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hidden": true + }, + "source": [ + "### Single Graph with four number-of-voters values" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 176, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "pdf = df8_QV[df8_QV['number-of-voters'].isin([11, 101, 501, 1001, 10001])].copy()\n", + "pdf['n_voters'] = pdf['number-of-voters'].apply(lambda n: \"=\" + str(n))\n", + "\n", + "\n", + "f, ax = plt.subplots(figsize=(4, 3))\n", + "sns.scatterplot(x=\"variance-of-pp\", y=\"wellfare-loss\",\n", + " hue=\"n_voters\",\n", + " legend='full',\n", + " ax=ax,\n", + " data = pdf)\n", + "\n", + "ax.set(ylim=(0,.22))\n", + "ax.set_xlabel(\"Variance of Percieved Pivotality\", fontsize=12)\n", + "ax.set_ylabel('Wellfare Loss', fontsize=12)\n", + "ax.tick_params(labelsize=10)\n", + "\n", + "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n", + "plt.savefig(\"figures/1QV_WL_vs_VMPP_prop8.png\", bbox_inches='tight', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "### Separate Graphs for Each number-of-voters value" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "metadata": { + "hidden": true, + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", 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h8K2Kie6+HehUMW5mbwE/cfcW96zNsnInr6iErLRUMtP0K7hCm6w0Lj68N2eN6k5hcRmtM1vRubVOMovEU9ySgruXmtlk4GUgFXjU3ReZ2R3AXHefFa91NyVbCoqZuWAt//h4HYO7tmHy8Qeyf9usZIfVaORmppGbqSMDkUQxd092DHUyevRonzu3fgcTpeXlbC0ooVWK0T4nedcKF5aUce8r/+WP7y6PlPXtlMMz3zuCzrrsUqRF21Kwi7Jy6JCdRmoD3ORmZvPcvdbm+RZ3R/PWgmKeW7CGpz5YRYecdG49fTAHdc0lIwknL3cUlTD9w1WVyr7cVED+rlIlBZEWamdxKYvW5fHLf3xGXlEJk47qy6nDuyasm+3Gd491HJWXO68sXs+dL37Gl5sKmLdyK+c99D5b8pPTU2EKRodqjlQyGllXuiKSOJvzi7nwkQ9YsHobX2ws4GfPf8r7X2xO2Ppb1N5ne1EJz8xdU6msuKyc+au2JiWejq3TuX3CkMjVNQAXHdaLnHSdbBZpqWYv20RZeeVm/ekfriY/QffntKjmo8xWKfTukM28lZWTQI/22UmJx8wY3bsDb193HAtXb6Nf5xy6ts2ibSPtE0WkNtt2FlNUUk5KCrTPTm+UHb41dr077Lk/6tcph/QENXG3qKSQld6KH500gHeWbmRT2GT0jcH70aND8q72ycloRU5GK3pW80EQaUo27tjFj59ZyLtLN9ExJ51fnTOMow7sRE5Gi9rN1NvA/XM5+sBOzF62CQjuz7lybOKe0Nbirj5ydzbm72Lt1kJyM9PokJNOu6w0isvKdY+ANEnFpeWYkdRf5YXFZdzx4iL+Omd3zzapKca71x9Ht3a6xLquthTsYlN+MTuLy+jeLqtBLjzR1Ud7YWZ0yc2kS24mAJt27OLR977kwxVbOG1YV47u37nak78tSWlZOYUlZWSntyI1pZpHRkmjULCrlNVbdvLwO8vJyUjlymMPoGvbzKQkh/xdpby3rPLJ0LJyZ+XmAiWFfdAhJ4MOOcm5ArHFJYVoWwqK+cHT8/nPl8GzU19e9DVXje3HD08c0GKPGjbt2MX0uat5/4vNHH9QFyaM7EZH3UXcKK3aspPTprxLxTnJ5+av5fVrx9I1CTc/ZqencnCvdqzasjNSZkZSm0WLS8vYtrOEvKKS8CbIVmSnt+hdXkxa9BbK31UaSQgVHv/3CiYd3bdFJoWtBcX8+JmFvLM0aMucvWwTn6zdxh0Thuqu4kamuLScR95ZTvRFKjuLy3hl0ddcemSfhMeTk9GKG045iKUb8lm0Lo+stFRuPWMw7ZLUT1V5ufPxmu1c+ugcCorLSE9N4f4LR3L8QV1a5He7LlpkUti+s5j3vthEzw45e0zLaJVKS20wKSwpiySECrM++oobTx6kpNDImEFOxp47t+wkXs7ctW0WT0waQ2FJGWmpKbTJakVWWnJ2MZsLdvHD6QspKA6evVFcVs51f/uIN34yTkmhFi3yerGP1mzn+39ZwPtfbObMEd0qTbtu/EDaZrXMcwopZrSqcg4hs1UKLTZLNmJpqSlceewBlZLA/m0yGTsguV3Ld2ydQY/22ezXJjNpCQGgzIPncUQrKC5jV2n5XpaQCi3uSGFncSlPfrASgHtfXcI9543gxEFd+HJTAScO3o8e7bISdulXY9M6sxVXjT2A37+5LFL2k/EDk9YEIDXr2jaT1348llcXf012eipjB3SmS5vMZIfVKGSkpnBY3w6Vmod7dcgmS0cJtWpxl6SWlJbzy39+xmPvrYiU9euUw2/PH8GoXu0bIMKmbevOYtZsKWTh6q0c2rcDXdtk6mY6aZK+2l7Iz2Z+wvtfbGFYj7bc9c3h9O6YjVnLPPTVJal7kdYqhe8e048XP/qKjfm7gOAkWc8k3dXc2LTPTqd9djrDerRNdigi9dK1bRb3XzCKopIy0lqlJKxDuaauxSUFCA67/3HN0SzbkE92eio92mfTSZddSi3cnQ07dvH3hWvZXljC+aN7sl+bTJ24bMTaZKXpSX111CKTQtUb2ERisXHHLk6fMjtyhPnIO8v55zXHcGCX3CRHJtJwWuYZVZF98O7STZGEAFBS5vzhrS/YVVKWxKhEGpaSgkiMyqu5KKOs3Glal2qI1ExJQSRGxw7oTPvs3e3TqSnG/4w7QOcUpFlpkecURPZF59YZvHTNMUybs5rthSV8+/DedGuv81LSvCgpiMQoJcXo2jaLH500AHdvsde7S/Om5iORfaCEIM2VkoKIiEQoKYiISISSgoiIRCgpiIhIhJKCiIhEKCmIiEiEkoKIiEQoKYiISISSgoiIRCgpiIhIhJKCiIhEKCmIiEiEkoKIiEQoKYiISISSgoiIRCgpiIhIRFyTgpmdbGZLzGyZmd1YzfSrzOwTM1toZrPNbHA84xERkZrFLSmYWSowFTgFGAxMrGan/7S7D3P3kcBdwL3xikdERGoXzyOFMcAyd1/u7sXANGBC9Azunhc1mgN4HOMREZFatIpj3d2B1VHja4DDqs5kZj8AfgykA8dXV5GZXQlcCdCrV68GD1RERAJJP9Hs7lPd/QDgBuDmvczziLuPdvfRnTt3TmyAIiItSDyTwlqgZ9R4j7Bsb6YBZ8UxHhERqUU8k8KHQH8z62tm6cCFwKzoGcysf9ToacDSOMYjIiK1iNs5BXcvNbPJwMtAKvCouy8yszuAue4+C5hsZicCJcBW4NJ4xSMiIrWL54lm3P0l4KUqZbdGDV8Tz/WLiEjdJP1Es4iINB5KCiIiEqGkICIiEUoKIiISoaQgIiIRSgoiIhKhpCAiIhFKCiIiEqGkICIiEUoKIiISEVNSMLMDzCwjHB5nZlebWbv4hiYiIokW65HCs0CZmR0IPELQJfbTcYtKRESSItakUO7upcDZwAPufh3QNX5hiYhIMsSaFErMbCJB19YvhmVp8QlJRESSJdakcDlwBPD/3P1LM+sLPBm/sEREJBliep6Cuy8GrgYws/ZArrv/Jp6BiYhI4sV69dFbZtbGzDoA84E/mtm98Q1NREQSLdbmo7bungecAzzh7ocBJ8YvLBERSYZYk0IrM+sKnM/uE80iItLMxJoU7gBeBr5w9w/NrB+wNH5hiYhIMsR6ovlvwN+ixpcD34xXUCIikhyxnmjuYWYzzWxD+PesmfWId3AiIpJYsTYfPQbMArqFfy+EZSIi0ozEmhQ6u/tj7l4a/j0OdI5jXCIikgSxJoXNZnaxmaWGfxcDm+MZmIiIJF6sSWESweWo64GvgHMJur4QEZFmJNarj1YCZ8Y5FhERSbIak4KZPQD43qa7+9UNHpGIiCRNbUcKcxMShYiINAo1JgV3/3PVMjPb393Xxy8kERFJllhPNEd7qcGjEBGRRmFfkoI1eBQiItIo7EtS+GODRyEiIo1CTJekApjZ0UB/d3/QzDoDrd39y/iFJiIiiRZrh3g/B24AbgqL0oCn4hWUiIgkR6zNR2cT3LxWAODu64DceAUlIiLJEWtSKHZ3J7yRzcxy4heSiIgkS6xJ4RkzexhoZ2bfBV5DJ5xFRJqdWPs+usfMTgLygIHAre7+alwjExGRhKs1KZhZKvCaux8H1CkRmNnJwO+AVOD/3P3XVab/GLgCKAU2ApPCzvdERCQJam0+cvcyoNzM2tal4jCZTAVOAQYDE81scJXZFgCj3X04MAO4qy7rEBGRhhXrfQr5wCdm9irhFUhQay+pY4Bl7r4cwMymAROAxVHLvxk1/wfAxTHGIyIicRBrUngu/KuL7sDqqPE1wGE1zP8d4J/VTTCzK4ErAXr16lXHMEREJFaxnmjeo7fUhhQ+3nM0MHYv638EeARg9OjRe32+g4iI1E9MScHM+gO/Ijg3kFlR7u79alhsLdAzarxHWFa17hOBnwFj3X1XLPGIiEh8xHqfwmPAHwiuEjoOeILau7n4EOhvZn3NLB24EJgVPYOZjQIeBs509w11CVxERBperEkhy91fB8zdV7r7bcBpNS3g7qXAZOBl4DPgGXdfZGZ3mFnF857vBloDfzOzhWY2ay/ViYhIAsR6onmXmaUAS81sMkEzUOvaFnL3l6jyUB53vzVq+MQ6xCoiInEW65HCNUA2cDVwCMGlo5fGKygREUmOGo8UzOxJd/82cKS7f0hwv8LlCYlMREQSrrYjhUPMrBswyczam1mH6L9EBCgiIolT2zmFh4DXgX7APCo/n9nDchERaSZqPFJw9ynuPgh41N37uXvfqD8lBBGRZqa2cwoVTUQ/q665yN23xCUqERFJitqaj+YRPm2Nyk1HoOYjEZFmp8ak4O59ExWIiIgkX23NRwfXNN3d5zdsOCIikky1NR/9toZpDhzfgLGIiEiS1dZ8dFyiAhERkeSLqZsLM8s2s5vN7JFwvL+ZnR7f0EREJNHq0nV2MXBkOL4W+EVcIhIRkaSJNSkc4O53ASUA7r6TPS9RFRGRJi7WpFBsZlmE9yyY2QGAnpImItLMxPo8hZ8D/wJ6mtlfgKOAy+IVlIiIJEesSeFS4B/ADGA5cI27b4pbVCIikhSxJoU/AccAJwEHAAvM7B13/13cIhMRkYSLKSm4+5tm9g5wKHAccBUwBFBSEBFpRmJKCmb2OpADvA+8Cxzq7hviGZiIiCRerFcffUxwn8JQYDgwNLwaSUREmpFYm49+BGBmuQRXHT0G7A9kxC0yEZGWrHQXeBmkZSd0tbE2H00mONF8CLACeJSgGUlERBpSWSnkrYF374PCLXDk/0LngyCzTUJWH+vVR5nAvcA8dy+NYzwiIi1bwQZ46GjYtSMY/2wWTHoZeh2ekNXHdE7B3e9x9/8oIYhIk1JSCPkboLgg2ZHEbvnbuxNChfd+l7DXEOuJZhGRpiV/A7xyCzx2Mrz4Q9i+NtkRxSYjt5qytmCpCVl9rM1HIiJNR+E2eOEaWPJSML75C/h6MXx7JrTuktzYatNzDHToB1uWB+Np2TD2J5CWmZDVKymISPNTUgj//Wflsq8/Dcobu9ZdgnMIq96HnVug/0nQer+ErV5JQUSaH0uBnM5BE1KFVhmQmp68mOqidRcYPCEpq9Y5BRFpfrI7whlTICWqHf6kOxN2WWdTpiMFEWl+UltB32Phmo9h0zLo0Aey2kN6TrIja/SUFESkeUrPCf7a9kh2JIGSIijaGvxPyw6at1IaX2ONkoKISLwVF8IXr8HM7wX3G7TpBt9+HjoPTHZke2h8aUpEpLkp2gbPXrH7BrS8dUGCKGh8zypTUhARibfiAigtqly2/mMoL0tOPDVQUhARibeM1sGJ7mh9jg0uk21klBREROItuyNcPBM6HhCM9zkaJkyFrHbJjasaOtEsIhJvqWnQfRRc/q/gGQmpGZDdIdlRVSuuRwpmdrKZLTGzZWZ2YzXTjzWz+WZWambnxjMWEZGka90Fcrs22oQAcUwKZpYKTAVOAQYDE81scJXZVhE8ye3peMUhIiKxi2fz0RhgmbsvBzCzacAEYHHFDO6+IpxWHsc4RJq3slIwq9ylQzIUbQ969pz/VHD9/ZCzGn+PpLKHeCaF7sDqqPE1wGFxXJ9I/BVth1354bNzcyCnY/JiKd4J21bBB1MhvTUc/j+Q2y3o4iEZVrwH0ybuHp/7f3Dpi0oMTUyTONFsZlcCVwL06tUrydFIi1WwGd78Jcz7E7hD76PhvMeSt9PbugIePnr3te4LnoQfzAnulk20gk3w9q8rl21cAnlrlRSamHieaF4L9Iwa7xGW1Zm7P+Luo919dOfOnRskOJE627w0+PXrHoyvnA0L/wJlSbgBqbQY/j2l8s1Pu3bA5/9IfCw1smQHIHUUz6TwIdDfzPqaWTpwITArjusTia+18/YsW/lvKCvaszzuDFpV8ySu6soSIacTjPtp5bIug5Jz1CL1Erek4O6lwGTgZeAz4Bl3X2Rmd5jZmQBmdqiZrQHOAx42s0Xxikek3vqO3bNs0BlBj5eJ1ioNjroa0rJ2l7XeL3hKV7L0PgK+9w6MuQpOvx8u+buajpog84pD4SZi9OjRPnfu3GSHIS1R4TZY9By8djuU7IRDLoOxNwS/kpOhtBjyvw5iSm8NB50WJAZTk43syczmufvoWudTUhCpg9JiKNyOCsToAAAU+ElEQVQSDKfnQkbje2hLSUkJa9asoagoGc1akmyZmZn06NGDtLS0SuWxJoUmcfWRSKPRKh1y9092FDVas2YNubm59OnTB9NRQ4vi7mzevJk1a9bQt2/ffapDHeKJNDNFRUV07NhRCaEFMjM6duxYr6NEJQWRZkgJoeWq73uvpCAiIhFKCiKSNCtWrODpp3f3hzl37lyuvvrqJEZUuz59+rBpU8M8RvPUU09l27ZtDVJXQ1FSEJGkqZoURo8ezZQpU5IYUWK99NJLtGvXuB60o6QgjV9RHuRvgLKSZEciMbjxxhuZOnVqZPy2227j7rvv5rrrrmPo0KEMGzaM6dOnR+Z99913GTlyJPfddx9vvfUWp59+emS5SZMmMW7cOPr161cpWdx5550MHDiQo48+mokTJ3LPPffsEceKFSs46KCDuOyyyxgwYAAXXXQRr732GkcddRT9+/dnzpw5ABQUFDBp0iTGjBnDqFGj+Pvf/w5AWVkZP/nJTxg6dCjDhw/ngQceiNT9wAMPcPDBBzNs2DA+//xzAObMmcMRRxzBqFGjOPLII1myZAkAjz/+OOeccw4nn3wy/fv35/rrr4/UU3HUUVBQwGmnncaIESMYOnRoZPv06dOHm266iZEjRzJ69Gjmz5/P+PHjOeCAA3jooYfq/2ZVx92b1N8hhxzi0kKUlbpvXOr+l/Pdf3+o+9t3u+dvTHZUjd7ixYuTuv758+f7scceGxkfNGiQP/74437iiSd6aWmpr1+/3nv27Onr1q3zN99800877bTIvNHjP//5z/2II47woqIi37hxo3fo0MGLi4t9zpw5PmLECC8sLPS8vDw/8MAD/e67794jji+//NJTU1P9448/9rKyMj/44IP98ssv9/Lycn/++ed9woQJ7u5+0003+ZNPPunu7lu3bvX+/ft7fn6+P/jgg/7Nb37TS0pK3N198+bN7u7eu3dvnzJliru7T5061b/zne+4u/v27dsj87766qt+zjnnuLv7Y4895n379vVt27Z5YWGh9+rVy1etWhWpa+PGjT5jxgy/4oorIrFv27YtMv3BBx90d/cf/vCHPmzYMM/Ly/MNGzZ4ly5d9voeVPcZAOZ6DPtY3acgjVfBRvjTiVC4NRh/487gaOGYa4P7BaRRGjVqFBs2bGDdunVs3LiR9u3bs3DhQiZOnEhqair77bcfY8eO5cMPP6RNmzY11nXaaaeRkZFBRkYGXbp04euvv+a9995jwoQJZGZmkpmZyRlnnLHX5fv27cuwYcMAGDJkCCeccAJmxrBhw1ixYgUAr7zyCrNmzYocbRQVFbFq1Spee+01rrrqKlq1CnaTHTrsflraOeecA8AhhxzCc889B8D27du59NJLWbp0KWZGScnuI9sTTjiBtm3bAjB48GBWrlxJz567+wsdNmwY1157LTfccAOnn346xxxzTGTamWeeGZknPz+f3NxccnNzycjIYNu2bQ3e/KTmI2m8tq/ZnRAqfPRXKNpa/fzSaJx33nnMmDGD6dOnc8EFF+xzPRkZGZHh1NRUSktL9zrv6tWrGTlyJCNHjow0rUQvn5KSEhlPSUmJ1OXuPPvssyxcuJCFCxeyatUqBg0aFFNc0THdcsstHHfccXz66ae88MILle4VqO11DBgwgPnz5zNs2DBuvvlm7rjjjj2WjY6/6mtoSEoKUtnOzbDqP/DeFFi3AHYmcQec1X7PsrbdIUVHCY3dBRdcwLRp05gxYwbnnXcexxxzDNOnT6esrIyNGzfyzjvvMGbMGHJzc9mxY0ed6j7qqKMiO938/HxefPFFAHr27BnZsV911VUx1zd+/HgeeOABPOzyZ8GCBQCcdNJJPPzww5Ed75YtW2qsZ/v27XTv3h0IziPUxbp168jOzubiiy/muuuuY/78+XVaviEpKchuu3bAu/fBo9+AV2+BR8bBgiegpDA58WS1h1GX7B5Py4ZT7obsapKFNCpDhgxhx44ddO/ena5du3L22WczfPhwRowYwfHHH89dd93F/vvvz/Dhw0lNTWXEiBHcd999MdV96KGHcuaZZzJ8+HBOOeUUhg0bFmma2Re33HILJSUlDB8+nCFDhnDLLbcAcMUVV9CrV69I3NFXSVXn+uuv56abbmLUqFF1/gX/ySefMGbMGEaOHMntt9/OzTffvM+vp77UIZ7slrcO7h9a+cEt6Tnwv/Mgt2tyYtq5JXiq146voNOAoEfS1LTal2vBPvvss1qbP5q6/Px8Wrduzc6dOzn22GN55JFHOPjgg5MdVqNR3WdAHeJJ3Xl55YQAUFoEyfzdkN0h+Os8IIlBSGNz5ZVXsnjxYoqKirj00kuVEBqQkkJjUF4Ou/KCB6a0yqh9/nhJy4H+42Hpy7vLhk8M+uoXaURqa8qRfaekkGw7N8PiWfDps9B1BBw5OXlNNdnt4ayp8MkMWP4WDDw1eHBLZm5y4hGRhFNSSKaSIvj372H2vcH4indh2atw6YvJe4xhTmcY8z04+NLgyEW9bYq0KLr6KJmKtsO8xyqXbVwSXAWUTCkpkJ6thCDSAikpJJMZZFZzN2KqrsMXkeRQUkim7E5w8q8q/yIfeRFk6MSuNG2TJk2iS5cuDB06tNZ5P//8c4444ggyMjKq7dhOEkvnFJIpJQX6HAP/Ox9WvAddBkP7PtXfySsSJ88vWMvdLy9h3bZCurXL4rrxAzlrVPd61XnZZZcxefJkLrnkklrn7dChA1OmTOH555+v1zqlYehIIdkyWkOHfnDwt6HHIZDTMdkRSQvy/IK13PTcJ6zdVogDa7cVctNzn/D8grX1qvfYY4+t1IEcwLhx47jmmmsYOXIkQ4cOjXRd3aVLFw499FDS0irflFhdF9w6kog/JQWRFuzul5dQWFL5hsXCkjLufnlJXNa3c+dOFi5cyIMPPsikSZNqnPeCCy7gmWeeiYw/88wz9epcT2Kj5iORFmzdtur7tdpbeX1NnDgRCI4k8vLyauz6ubouuKO7m5b4UFIQacG6tctibTUJoFu7rLisz6pc5lx1vKqKLrjXr1+vo4QEUfORSAt23fiBZKWlVirLSkvluvED47K+isdMzp49m7Zt29bau2nVLrgl/nSkINKCVVxl1NBXH02cOJG33nqLTZs20aNHD26//XYAMjMzGTVqFCUlJTz66KMArF+/ntGjR5OXl0dKSgr3338/ixcvpk2bNnt0wS3xp66zRZqZxtp19rhx47jnnnsYPbrW3pulnurTdbaaj0REJELNRyKSEG+99VayQ5AY6EhBREQilBRERCRCzUcFm4IHyqx8DwafBfsPCx7/KCLSArXspJC/EV64Gpa8FIzPfRRO+Dkc8YPkPhZTRCRJWmbz0a58WLcA8r/anRAqzL4XirYlJy6RZmTNmjVMmDCB/v37069fPyZPnsz27dvp2LEjeXl5leY966yzIje2SXK1zKSw6b/wx+OCx2FWp2nduiFSPx8/A/cNhdvaBf8/fqb2ZWrh7pxzzjmcddZZLF26lKVLl1JYWMitt97K+PHjmTlzZmTe7du3M3v2bM4444x6r1fqr+UlheJCeO934A7rP4b+36g8/egfQVb1HXSJNDsfPxM0oW5fDXjw/4Wr650Y3njjDTIzM7n88ssBSE1N5b777uOJJ55g4sSJTJs2LTLvzJkzGT9+PNnZ2fVapzSMlndOISUFMtoEw6/fAec+Bv1Pgq8Xw5CzgxPNOp8gLcXrd0BJlQ7xSgqD8uHn73O1ixYt4pBDDqlU1qZNG/r06cN+++3H/Pnz2bx5Mx07dmTatGlMnjx5n9clDSuuRwpmdrKZLTGzZWZ2YzXTM8xsejj9P2bWJ57xBCtNhaOvgfQcKNoOT50DX74LJ90O/cbqyiNpWbavqVt5A0hPT+fMM89kxowZbNq0iQULFjB+/Pi4rU/qJm5HCmaWCkwFTgLWAB+a2Sx3Xxw123eAre5+oJldCPwGiG//uNtWwmt3wCWz4Mt3ILMtDDwl+C/S0rTtETYdVVNeD4MHD2bGjBmVyvLy8li/fj0DBw5k4sSJ3Hnnnbg7EyZM2OOpa5I88TxSGAMsc/fl7l4MTAMmVJlnAvDncHgGcILV1sF6fRQXwOt3wmd/h8dOgS9eh4VPwbZqvhQiLcEJt0JalWcnpGUF5fWp9oQT2LlzJ0888QQAZWVlXHvttUyePJmsrCzGjRvH0qVLmTp1auTBO9I4xDMpdAei97ZrwrJq53H3UmA7sMdDis3sSjOba2ZzN27cuO8RlRVD/vrdwytmw9r5kP/1vtcp0pQNPx/OmAJtewIW/D9jSr3OJ0Dw8JyZM2cyY8YM+vfvT8eOHUlJSeFnP/sZACkpKZx77rls3ryZsWPHNsALkYbSJK4+cvdH3H20u4/u3LnzvleU1R7GfLdyWXoO9FBXvtKCDT8ffvQp3LYt+F/PhFChZ8+ezJo1i6VLl/LSSy/xr3/9i/nz50em33///axbt46UlCaxG2ox4nn10Vog+oGqPcKy6uZZY2atgLbA5jjGBP2Oh2/+CeY8DDmdgzuYc+qRaESkVkceeSQrV65MdhgSg3gmhQ+B/mbWl2DnfyHwrSrzzAIuBd4HzgXe8Hg/9Se7PQw7Fw44HlLTIaN1XFcnItKUxC0puHupmU0GXgZSgUfdfZGZ3QHMdfdZwJ+AJ81sGbCFIHEkhi49lWbM3YnnNRvSeNX3d3Vcb15z95eAl6qU3Ro1XAToadwiDSgzMzNyY5gSQ8vi7mzevJnMzMx9rqPl3dEs0sz16NGDNWvWUK8r9aTJyszMpEePfb/PRElBpJlJS0ujb9++yQ5DmihdCyYiIhFKCiIiEqGkICIiERbv2wIampltBBrqLphOwKYGqqu50bapmbZPzbR99i5Z26a3u9d6p26TSwoNyczmurv6uKiGtk3NtH1qpu2zd41926j5SEREIpQUREQkoqUnhUeSHUAjpm1TM22fmmn77F2j3jYt+pyCiIhU1tKPFEREJIqSgoiIRDTLpGBmJ5vZEjNbZmY3VjM9w8ymh9P/Y2Z9oqbdFJYvMbPxiYw7UfZ1+5jZSWY2z8w+Cf8fn+jYE6E+n59wei8zyzeznyQq5kSp53druJm9b2aLws/Qvnfl2UjV47uVZmZ/DrfLZ2Z2U6Jjj3D3ZvVH8OyGL4B+QDrwETC4yjzfBx4Khy8EpofDg8P5M4C+YT2pyX5NjWj7jAK6hcNDgbXJfj2NaftETZ8B/A34SbJfT2PZNgSdb34MjAjHO+q7VWn7fAuYFg5nAyuAPsl4Hc3xSGEMsMzdl7t7MTANmFBlngnAn8PhGcAJFnQ8P4Hgjdnl7l8Cy8L6mpN93j7uvsDd14Xli4AsM8tISNSJU5/PD2Z2FvAlwfZpbuqzbb4BfOzuHwG4+2Z3L0tQ3IlSn+3jQE74WOIsoBjIS0zYlTXHpNAdWB01viYsq3Yedy8FthP8coll2aauPtsn2jeB+e6+K05xJss+bx8zaw3cANyegDiToT6fnQGAm9nLZjbfzK5PQLyJVp/tMwMoAL4CVgH3uPuWeAdcHT1PQerMzIYAvyH49Se73Qbc5+75euLZHloBRwOHAjuB181snru/ntywGo0xQBnQDWgPvGtmr7n78kQH0hyPFNYCPaPGe4Rl1c4THq61BTbHuGxTV5/tg5n1AGYCl7j7F3GPNvHqs30OA+4ysxXAD4Gfhs8pby7qs23WAO+4+yZ330nwmN6D4x5xYtVn+3wL+Je7l7j7BuA9ICn9IzXHpPAh0N/M+ppZOsHJnFlV5pkFXBoOnwu84cEZnlnAheEVAn2B/sCcBMWdKPu8fcysHfAP4EZ3fy9hESfWPm8fdz/G3fu4ex/gfuCX7v77RAWeAPX5br0MDDOz7HBnOBZYnKC4E6U+22cVcDyAmeUAhwOfJyTqqpJ9xj4ef8CpwH8JrgT4WVh2B3BmOJxJcHXIMoKdfr+oZX8WLrcEOCXZr6UxbR/gZoJ2z4VRf12S/Xoay/apUsdtNLOrj+q7bYCLCU7AfwrclezX0pi2D9A6LF9EkCyvS9ZrUDcXIiIS0Rybj0REZB8pKYiISISSgoiIRCgpiIhIhJKCiIhEKClIi2ZmL4X3XzQaZvZXM/vYzH6U7Fik5dElqdIihZ2QmbuXJzuWaGa2PzDb3Q9MdizSMulIQZo0M/u1mf0gavw2M7vZzF4PO177xMwmhNP6hH3dP0FwA1VPM1thZp3C6c+Hz4lYZGZXRtWZb2b/z8w+MrMPzGy/sHw/M5sZln9kZkeG5Reb2RwzW2hmD5tZajVxZ5rZY2F8C8zsuHDSK0D3cNljqizTx8w+N7O/hH3uzzCz7HDaCjO7K6xvjpkpqcg+UVKQpm46cH7U+PkEXROf7e4HA8cBv63o2pqg65IH3X2Iu6+sUtckdz+EoM+Zq82somfYHOADdx8BvAN8NyyfArwdlh8MLDKzQcAFwFHuPpKgk7OLqon7B4C7+zBgIvBnCx46cybwhbuPdPd3q1luYBj/IIKulb8fNW17WN/vCbrZEKkzJQVp0tx9AdDFzLqZ2QhgK7Ae+KWZfQy8RtBd8X7hIivd/YO9VHe1mX0EfEDQaVn/sLwYeDEcngf0CYePB/4QxlHm7tuBE4BDgA/NbGE43q+adR0NPBUu+zmwkqB76dqs9t39Tj0V1lPhr1H/j4ihLpE9qOtsaQ7+RtC52P4ERw4XAZ2BQ9y9JOy1tOLRjwXVVWBm44ATgSPcfaeZvRW1TInvPvlWRs3fGwP+7O6VHqdoZmcDPw9Hr4jlRZlZT+CFcPQh4F8ED2OJ5jEMi8RMRwrSHEwn6JHyXIIE0RbYECaE44DeMdTRFtgaJoSDCHqprM3rwP8AmFmqmbUNy841sy5heQcz6+3uM8MmoZHuPhd4l7BZycwGAL0IOmGMcPfVUcs8FBb3MrOKo4BvAbOjFrkg6v/7McQvsgclBWny3H0RkEvwzOivgL8Ao83sE+ASYuuC+F9AKzP7DPg1QRNSba4BjgvXM4/gebyLCXqTfSVsvnoV6FrNsg8CKeGy04HLPLan2C0BfhDG2Z6w+SrUPlznNYAuZ5V9oktSRZoIM+sDvOjuQ6uZtgIY7e6bEhyWNDM6UhARkQgdKYiISISOFEREJEJJQUREIpQUREQkQklBREQilBRERCTi/wOJ03POBbteCQAAAABJRU5ErkJggg==\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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ekne9Nof2TbM5pXc8j9Het63dvJX73563Q9n8VZv5dmORkgKwubiMh97b/iiNsm3OzRO+4OWfHLXT+lm3pYR7J83l+SnBg+36dGjC4yPzk9bq2q/bvmXbtrFtW+ruEts8N5N7z+1Hm8bBRpHVII3fntuHxjmpSQrrC0v5+fMzKCwpB4Ij858/P4O1W7amJJ4OTXPIq5QgT+vTjsY5GSmJZ/Lc1VS+qfCL05ZRWFKWknj2BlUdBSdT4dYyVm8qZnNxar+jrWXbqLyr+a6gGK/icdKL1m6JEgLA58s38vTHi5N2MLRfthQKS8pYuq6IJz5aSJcWuQzr1570dKNhZjp52cnd4XRtmcurPz+Gwq3l5GSk07hhg5T1M5aUbWNjUekOZcs3FFGWosTZLDeT8T85kltf+YKl64oY1r89VxzXjawGqenO6t6m0U5lPdrkkanzCrRolMU1Jx/MpU9tvy/ZwW0a0bZJ6s4prCoo5t435/LhvDX069iU207vSYdmDVMSS25WAw5o0ZDFawujsjMHdKBh5s6/9TkrCnYqm7l0A8Wl5WQkYVvbL5PCojWFnP7gB/Tt2JSzBnZg9PMz+GplAcd2b8ldw3vTpnHyNuS0NKN1Xjak7txpJDsjjc7NG7Jk3fYNt0+HJinb6WWkp9GjbWP++uN8Ssq20SQng6yM1J2A79WuMUMObsXkr4PH6HZtmcvFR3XRyebQ4K7Nee3nx/DStGV0b9OI/+rVlpZJ7AuPtbGwlOtemsW/5gbf1bcbVzJ/9eaUneNolZfFc5cfwe/fmMvsbzdycq82jDq6K7lVdBUf0a3FTmXf790uad3Ke91DdvLz8702d0ndUFjCra98wWuzvuXJSw7jxpc+Z2VBcTT++B6tGHNBf5rk7H8nD92dhWu28N/jZjJr+UYO69KcP/6gHx1TdHRVH63bUsLGolJKyrbRPDeTVinsLy8pK2f1phImfraC3Mx0hvZuS+u8rJR32dQH3xUUc/hv3tmp/P3rT6Bz89Rtz1u2llFUWk6T7AwyGlR9MLGpuJR3v1rF3f/8kk3FpVx0+AH89ISDaJ5bu32SmU1z9/yaptvvWgqL1myJmmA5mek7JASA979ezdbSbZCTiuhSy8zo1qoRT1xyGOXbICPdUnKVT33WPDez1j/OurJiQzGnPPA+xaVBX/OD787nn1cdQ+sktnTrKzNonZfFqk3bz4dlZ6SRleJWXW5WgypbB7HysjM4rU87jjowaDE0ysogJzN5LeT9qt27obCEh//1DSMGdyarQRppZmRVytZdW+Sm5Eqb+qR5bhat8rKUEOqx0rJtPPr+gighAKzevJX35q5KYVT1R4uGmfz+vH5kpAe/ZTO444xDyUvRRRy7q0F6Gq3ysmmVl53UhAAJbimY2SnAA0A68Dd3v6fS+M7AU0DTcJob3f31RMWTkZ5GRnoaj324kLFXHMHy9UX8atih3PaPLygtd/KyGnDf+f1T1g8qEi8HtpaV71ReUpaay3Xrm/T0NA7r0owPrj+B5euLaNc0h7zsBlWe2JUdJeycgpmlA18DJwPLgE+BEe4+J2aaR4EZ7v5nM+sFvO7uXaqrt7bnFBas3sywP33ENncO79qCM/q144huLSgsKaNxdkZK/1lLZHd8vXIT3x/zAeXh1WF5WQ1465rjU3rFj9Rf9eGcwmBgvrsvCAMaCwwH5sRM40DF/+42AVYkMB4AOjdvyDvXHs+sZRtonpvJAS1y1TKQvVLH5jlM+sWxPP7RQnIzGzDyqK60bKQuP6mdRLYUzgVOcffLwuEfAYe7++iYadoBbwLNgFzgJHefVkVdVwBXAHTu3HnQ4sVxPWpUZL9Qtm0badh+fy5MqhdvSyHVJ5pHAE+6e0fgVOAZM9spJnd/1N3z3T2/VatWSQ9SpD5rkJamhCB1JpFJYTnQKWa4Y1gW61LgBQB3/xjIBlomMCYREalGIpPCp0B3M+tqZpnABcDEStMsAU4EMLOeBElhdQJjEhGRaiQsKbh7GTAamAR8Cbzg7rPN7C4zGxZOdi1wuZl9BjwPjPS97V+sRUT2IQm9aDf8n4PXK5XdHvN+DnB0ImMQEZH4pfpEs4iI1CNKCiIiElFSEBGRiJKCiIhElBRERCSipCAiIhElBRERiSgpiIhIRElBREQiSgoiIhJRUhARkYiSgoiIRJQUREQkoqQgIiIRJQUREYkoKYiISERJQUREIkoKIiISUVIQEZGIkoKIiESUFEREJKKkICIiESUFERGJKCmIiEhESUFERCJKCiIiElFSEBGRiJKCiIhElBRERCSipCAiIhElBRERiSgpiIhIRElBREQiSgoiIhJRUhARkYiSgoiIRJQUREQkoqQgIiKRhCYFMzvFzOaa2Xwzu3EX0/zAzOaY2Wwzey6R8YiISPUaJKpiM0sHHgJOBpYBn5rZRHefEzNNd+Am4Gh3X29mrRMVj4iI1CyRLYXBwHx3X+DuJcBYYHilaS4HHnL39QDuviqB8YiISA0SmRQ6AEtjhpeFZbEOBg42s4/M7BMzO6WqiszsCjObamZTV69enaBwRUQk1SeaGwDdgSHACOCvZta08kTu/qi757t7fqtWrZIcoojI/iORSWE50ClmuGNYFmsZMNHdS919IfA1QZIQEZEUSGRS+BTobmZdzSwTuACYWGmaVwhaCZhZS4LupAUJjElERKqRsKTg7mXAaGAS8CXwgrvPNrO7zGxYONkkYK2ZzQHeA65z97WJiklERKpn7p7qGHZLfn6+T506NdVhiIjsVcxsmrvn1zRdqk80i4hIPaKkICIiESUFERGJKCmIiEhESUFERCJKCiIiEokrKZjZgWaWFb4fYmZXVXU7ChER2bvF21J4CSg3s4OARwluX6FnH4iI7GPiTQrbwv9QPgt40N2vA9olLiwREUmFeJNCqZmNAC4GXgvLMhITkoiIpEq8SeES4Ejgf9x9oZl1BZ5JXFgiIpIKcT2OM3yE5lUAZtYMyHP33yYyMBHZM6WlpSxbtozi4uJUhyIpkJ2dTceOHcnI2LPOnLiSgplNBoaF008DVpnZR+5+zR4tVUQSZtmyZeTl5dGlSxfMLNXhSBK5O2vXrmXZsmV07dp1j+qIt/uoibsXAGcDT7v74cBJe7REEUmo4uJiWrRooYSwHzIzWrRoUatWYrxJoYGZtQN+wPYTzSJSTykh7L9q+93HmxTuInggzjfu/qmZdQPm1WrJIiJS78SVFNz9RXfv6+4/CYcXuPs5iQ1NRPZ1ixYt4rnntv8f7NSpU7nqqqtSGFHNunTpwpo1a+qkrlNPPZUNGzbUSV11Jd7bXHQ0swlmtip8vWRmHRMdnIjs2yonhfz8fMaMGZPCiJLr9ddfp2nT+nXHoHi7j54AJgLtw9erYZmIyA5uvPFGHnrooWj4zjvv5N577+W6666jd+/e9OnTh3HjxkXTfvDBB/Tv35/77ruPyZMnc/rpp0fzjRo1iiFDhtCtW7cdksWvf/1revTowTHHHMOIESP4/e9/v1McixYt4pBDDmHkyJEcfPDBXHjhhbz99tscffTRdO/enSlTpgCwZcsWRo0axeDBgxkwYAD/+Mc/ACgvL+eXv/wlvXv3pm/fvjz44INR3Q8++CADBw6kT58+fPXVVwBMmTKFI488kgEDBnDUUUcxd+5cAJ588knOPvtsTjnlFLp37871118f1VPR6tiyZQunnXYa/fr1o3fv3tH66dKlCzfddBP9+/cnPz+f6dOnM3ToUA488EAeeeSR2n9ZVXH3Gl/AzHjKkvEaNGiQi8iuzZkzJ6XLnz59uh933HHRcM+ePf3JJ5/0k046ycvKynzlypXeqVMnX7Fihb/33nt+2mmnRdPGDt9xxx1+5JFHenFxsa9evdqbN2/uJSUlPmXKFO/Xr58XFRV5QUGBH3TQQX7vvffuFMfChQs9PT3dZ82a5eXl5T5w4EC/5JJLfNu2bf7KK6/48OHD3d39pptu8meeecbd3devX+/du3f3zZs3+8MPP+znnHOOl5aWurv72rVr3d39gAMO8DFjxri7+0MPPeSXXnqpu7tv3Lgxmvatt97ys88+293dn3jiCe/atatv2LDBi4qKvHPnzr5kyZKortWrV/v48eP9sssui2LfsGFDNP7hhx92d/df/OIX3qdPHy8oKPBVq1Z569atd/kdVLUNAFM9jn1sXP+nAKw1s4uA58PhEcDaOs9QIrLXGzBgAKtWrWLFihWsXr2aZs2aMXPmTEaMGEF6ejpt2rTh+OOP59NPP6Vx48bV1nXaaaeRlZVFVlYWrVu35rvvvuOjjz5i+PDhZGdnk52dzRlnnLHL+bt27UqfPn0AOPTQQznxxBMxM/r06cOiRYsAePPNN5k4cWLU2iguLmbJkiW8/fbbXHnllTRoEOwmmzdvHtV79tlnAzBo0CBefvllADZu3MjFF1/MvHnzMDNKS0uj6U888USaNGkCQK9evVi8eDGdOnWKxvfp04drr72WG264gdNPP51jjz02Gjds2LBoms2bN5OXl0deXh5ZWVls2LChzruf4u0+GkVwOepK4FvgXIJbX4iI7OS8885j/PjxjBs3jvPPP3+P68nKyorep6enU1ZWtstply5dSv/+/enfv3/UtRI7f1paWjSclpYW1eXuvPTSS8ycOZOZM2eyZMkSevbsGVdcsTHddtttnHDCCXzxxRe8+uqrO/yvQE2f4+CDD2b69On06dOHW2+9lbvuumuneWPjr/wZ6lK8Vx8tdvdh7t7K3Vu7+5nuvqTOoxGRfcL555/P2LFjGT9+POeddx7HHnss48aNo7y8nNWrV/P+++8zePBg8vLy2LRp027VffTRR0c73c2bN/Paa8G/TnXq1CnasV955ZVx1zd06FAefPDBim5xZsyYAcDJJ5/MX/7yl2jHu27dumrr2bhxIx06dACC8wi7Y8WKFTRs2JCLLrqI6667junTp+/W/HWp2u4jM3sQ8F2Nd/f6fe2YiKTEoYceyqZNm+jQoQPt2rXjrLPO4uOPP6Zfv36YGb/73e9o27YtLVq0ID09nX79+jFy5EgGDBhQY92HHXYYw4YNo2/fvrRp04Y+ffpEXTN74rbbbuMXv/gFffv2Zdu2bXTt2pXXXnuNyy67jK+//pq+ffuSkZHB5ZdfzujRo3dZz/XXX8/FF1/M3XffzWmnnbZbMXz++edcd911pKWlkZGRwZ///Oc9/jy1ZRXZscqRZhdXN7O7P1XnEdUgPz/fp06dmuzFiuw1vvzyyxq7P/Z2mzdvplGjRhQWFnLcccfx6KOPMnDgwFSHVW9UtQ2Y2TR3z69p3mpbClXt9M2srbuv3O0oRUTqyBVXXMGcOXMoLi7m4osvVkKoQ/FefRTrdUDfgIikTOw/vEndivfqo1i605aIyD5qT5LCX+s8ChERqRfi7j4ys2OA7u7+sJm1Ahq5+8LEhSYiIskW7w3x7gBuAG4KizKAZxMVlIiIpEa83UdnETyOcwuAu68A8hIVlIjs3UaNGkXr1q3p3bt3jdN+9dVXHHnkkWRlZVV5YztJrniTQkl4QyUHMLPcxIUkIsn0yozlHH3Pu3S98Z8cfc+7vDJjea3rHDlyJG+88UZc0zZv3pwxY8bwy1/+stbLldqLNym8YGZ/AZqa2eXA2+iEs8he75UZy7np5c9ZvqEIB5ZvKOKmlz+vdWI47rjjdriBHMCQIUO4+uqr6d+/P717945uXd26dWsOO+wwMjIydpi+qltwqyWRePHe++j3wHjgJaAHcLu7P1j9XCJS3907aS5FpeU7lBWVlnPvpLkJWV5hYSEzZ87k4YcfZtSoUdVOe/755/PCCy9Ewy+88EKtbq4n8anx6iMzSwfedvcTgLcSH5KIJMuKDUW7VV5bI0aMAIKWREFBQbW3fq7qFtyxt5uWxKgxKbh7uZltM7Mm7r4xGUGJSHK0b5rD8ioSQPumOQlZnplVO1xZxS24V65cqVZCksR7TmEz8LmZPWZmYypeNc1kZqeY2Vwzm29mN1Yz3Tlm5mZW482aRKTuXDe0BzkZ6TuU5WSkc93QHglZXsVjJj/88EOaNGlS491NK9+CWxIv3n9eezl8xS3sdnoIOBlYBnxqZhPdfU7Q3W8/AAAUvUlEQVSl6fKAq4H/7E79IlJ7Zw4I7v9/76S5rNhQRPumOVw3tEdUvqdGjBjB5MmTWbNmDR07duRXv/oVANnZ2QwYMIDS0lIef/xxAFauXEl+fj4FBQWkpaVx//33M2fOHBo3brzTLbgl8eJKCnt4i+zBwHx3XwBgZmOB4cCcStP9GvgtcN0eLENEaunMAR1qnQQqe/7553cqe+aZZ7jooou4//77dyhv27Yty5Yt22Vdn3/+eZ3GJtWL9z+au5vZeDObY2YLKl41zNYBWBozvCwsi613INDJ3f9Zw/KvMLOpZjZ19erV8YQsIiJ7IN7uoyeAO4D7gBMIns+8JzfTi5hZGvBHYGRN07r7o8CjEDxkpzbLFZHUmDx5cqpDkDjEu2PPcfd3CJ7Uttjd7wRqet7cciD2+rGOYVmFPKA3MNnMFgFHABN1sllEJHXibSlsDY/s55nZaIKde6Ma5vkU6G5mXcPpLwB+WDEyvLy1ZcWwmU0GfunuetamiEiKxNtSuBpoCFwFDAIuAmp6fnMZMBqYBHwJvODus83sLjMbtuchi4hIolTbUjCzZ9z9R8BR7v4pwf8rXBJv5e7+OsHjO2PLbt/FtEPirVdERBKjppbCIDNrD4wys2Zm1jz2lYwARWTvtGzZMoYPH0737t3p1q0bo0ePZuPGjbRo0YKCgoIdpj3zzDOjf2yT1KopKTwCvAMcAkyr9FLfv8i+YNYLcF9vuLNp8HfWCzXPUwN35+yzz+bMM89k3rx5zJs3j6KiIm6//XaGDh3KhAkTomk3btzIhx9+yBlnnFHr5UrtVZsU3H2Mu/cEHnf3bu7eNebVLUkxikiizHoBXr0KNi4FPPj76lW1Tgzvvvsu2dnZXHJJ0Nucnp7Offfdx9NPP82IESMYO3ZsNO2ECRMYOnQoDRs2rNUypW5UmxRiuoluqdx1pO4jkX3AO3dBaaUb4pUWBeW1MHv2bAYNGrRDWePGjenSpQtt2rRh+vTprF27FoCxY8dGd0+V1KvpktRphE9bAyrfztABtRZE9mYbd3F7iV2V14HMzEyGDRvG+PHjOeecc5gxYwZDhw5N2PJk91SbFNy9a7ICEZEUaNIx7DqqorwWevXqxfjx43coKygoYOXKlfTo0YMRI0bw61//Gndn+PDhOz11TVKnpu6jgdW9khWkiCTIibdDRqVnJ2TkBOW1qfbEEyksLOTpp58GoLy8nGuvvZbRo0eTk5PDkCFDmDdvHg899JC6juqZmq4++kM1Lz0sVWRv1/cHcMYYaNIJsODvGWOC8lowMyZMmMD48ePp3r07LVq0IC0tjVtuuQWAtLQ0zj33XNauXcvxxx9fBx9E6oq57133l8vPz/epU3U1rMiufPnll/Ts2TPVYezg3//+NyNGjGDChAkMHKhOhkSrahsws2nuXuO95eK695GZNQSuATq7+xVm1h3o4e6v7UnAIrJ/Oeqoo1i8eHGqw5A4xHvvoyeAEuCocHg5cHdCIhIRkZSJNykc6O6/A0oB3L2QnS9RFZF6Ym/rFpa6U9vvPt6kUGJmOYT/s2BmBwJba7VkEUmI7Oxs1q5dq8SwH3J31q5dS3Z29h7XEe/zFO4A3gA6mdnfgaOJ44lpIpJ8HTt2ZNmyZejRtfun7OxsOnbc8/8ziTcpXAz8ExgPLACudvc1e7xUEUmYjIwMunbV/53Knok3KTwGHAucDBwIzDCz9939gYRFJiIiSRdXUnD398zsfeAw4ATgSuBQQElBRGQfEu//KbwD5AIfAx8Ah7n7qkQGJiIiyRfv1UezCP5PoTfQF+gdXo0kIiL7kHi7j/4bwMzyCK46egJoC2QlLDIREUm6eLuPRhOcaB4ELAIeJ+hGEhGRfUi8Vx9lA38Eprl7WQLjERGRFIq3+0i3yRYR2Q/Ee6JZRET2A0oKIiISUVIQEZGIkoKIiESUFEREJKKkICIiESUFERGJKCmIiEhESUFERCJKCiIiElFSEBGRiJKCiIhElBRERCSipCAiIhElBRERiSQ0KZjZKWY218zmm9mNVYy/xszmmNksM3vHzA5IZDwiIlK9hCUFM0sHHgK+D/QCRphZr0qTzQDy3b0vMB74XaLiERGRmiWypTAYmO/uC9y9BBgLDI+dwN3fc/fCcPAToGMC4xERkRokMil0AJbGDC8Ly3blUuD/qhphZleY2VQzm7p69eo6DFFERGLVixPNZnYRkA/cW9V4d3/U3fPdPb9Vq1bJDU5EZD/SIIF1Lwc6xQx3DMt2YGYnAbcAx7v71gTGIyIiNUhkS+FToLuZdTWzTOACYGLsBGY2APgLMMzdVyUwFhERiUPCkoK7lwGjgUnAl8AL7j7bzO4ys2HhZPcCjYAXzWymmU3cRXUiIpIEiew+wt1fB16vVHZ7zPuTErl8ERHZPfXiRLOIiNQPSgoiIhJRUhARkYiSgoiIRJQUREQkoqQgIiIRJQUREYkoKYiISERJQUREIkoKIiISUVIQEZGIkoKIiESUFEREJKKkICIiESUFERGJKCmIiEhESUFERCJKCiIiElFSEBGRiJKCiIhElBRERCSipCAiIhElBRERiSgpiIhIRElBREQiSgoiIhJRUhARkYiSgoiIRJQUREQkoqQgIiIRJQUREYkoKYiISERJQUREIg1SHYCISMIUrofyEkhLh9yWqY4GyrZCSSFkNw5iqk7JFthWBtlNkhNbSElBRPZNG5bChP8Hiz+Cdv3g7L9Ci+6QlqIOkoJv4aMH4NsZ0Gs49PlB1YmqrATWL4T3/geKN8KRP4dOhyUtOSgpSP23rTw4YmqQlepIAtvKwLdBemaqI4HyMihaC6QFOxiz1MazZQ2UFkF6A8huChk5KYpjLYy/BJZ9Ggx/+xk8ezZc/i40apP8eDavgmfPglVfBsNLPoH1i+HEOyCz4Y7TblkNjx4frEeABZPhxxOh2/FJCVXnFGRHpVuDI5q138CmlVBemtp4Nq2ED/4AE66Eb96DovWpi6W8DDYsgUm3wMSrYOUXsHVz6uIpXA/Tn4bHhsLTZ8C8N6F4U+riKVgBz54D9/eGBwfB5+OhuCA1sZSXbE8IFTYuC7puUqFk8/aEUGH6U7C1iu9rwXvbE0KFTx5K2raW0JaCmZ0CPACkA39z93sqjc8CngYGAWuB8919USJjAoINtbQwOOKz9OCor3gDNGwBOc2hQRKPAMtLoXBt8MpuGvQ1ZuUlb/mxykpgyUcw7kfBRpzTDH74InQYlJom9+ZV8OSpQYICmP0yDH8I+o2ouT82Ebasgj8fDVvDHd2scXDFv6Bd3+THArBsCvzzv7cPP38+/HQKZKdg+9m6Gd6+A76dGQyXbIFXfx4c3WY3Tn48aenQvBusW7C9LKsxZGQnPxYIWpVm4L69rGELqKphl9uqirI2kJacjp2E/dLNLB14CPg+0AsYYWa9Kk12KbDe3Q8C7gN+m6h4IltWw5p58O7d8MEfYc4r8EAf+PNRwdHNt5/t+MUl2qov4aHBwfLv7w0z/l710UMyFK2D8aOChADBUflLo4J1lgqbVm5PCBU+uj9IoKkw763tCQGCg4kP79v5qC4ZSothxrM7lrnDV/9MfiwQHGQtrXRk7h50kaRCbis457HgwAYgMxfO+RtkN09NPJmNIP+y7cNmcMrvoGEV5xTaD4A2h24fzm4Cx12btISWyNQzGJjv7gsAzGwsMByYEzPNcODO8P144E9mZu4J2iuXl8H8d2HzdzDjGRg1CZ4eFvRZQ7AzfOX/wSVvQKPWCQlhB1vWwMTRwckkCHYyb94MvYalprVQtnXn7pkNS4IWVSqkZ+xc1iAndf3mGQ2rLrMUtKLSM6D1ofDlxB3L2/RMfiwQ7PS6HhecIK2Qlg7Nu6YmHjNo2wd++knQasloCA2bpe68VE5TOOEmGPgjWPUVdBocJK6qWryNWsOPXoFVc6BoYzhtEvZHoUQmhQ7A0pjhZcDhu5rG3cvMbCPQAliTkIi2FgQ7vUUfBMNeHuwIY61bkLyWwrayoNWyQ1l5sBGnQkY2NOsC6xdtL2vXP3U/pNxW0OlwWPqfYNgMTrqj6uZ1MnQ9Dhp3gILlwXBGDhx7TWrWT1o65I+E2eO3b0NdjoX2g5IfCwQnS0+4GTYsDk6MNmwBp9+//Ug9FdIzIK9t6pZfWcMWwatdv5qnbdQ6OQemVdgrrj4ysyuAKwA6d+685xVl5gavdv2Ck3JbN0OTjsEJqArdhybvR56ZCz1OhS/Gby/LbRn0faZCbmu4cDy8fDmsmAGdj4CzHk3d9d25LeH8v8PST2D1XOh5BuS1T00sAHlt4PL3wm2nAHoOS9kPN4inLYx8PejeS88MdsCpvBY/ry2c+ySUFQWtp4Ytqm7tSb1mieqpMbMjgTvdfWg4fBOAu/9vzDSTwmk+NrMGwEqgVXXdR/n5+T516tQ9D2zTyuAqibfvDH7Yp/xvcH5h5Rdw4Alwyj3JPbrY/B28dTt8PQlaHgzDxoTXUqfgRGqFLWuCFkt6BjRMUR+siNQpM5vm7vk1TpfApNAA+Bo4EVgOfAr80N1nx0zzM6CPu19pZhcAZ7v7D6qrt9ZJAYJrmMuKtl/7bmlBl1Fmbmr68rduDs5npGdqJywiCRFvUkhY91F4jmA0MIngktTH3X22md0FTHX3icBjwDNmNh9YB1yQqHh2kNsiKYuJW1aj4CUikmIJPafg7q8Dr1cquz3mfTFwXiJjEBGR+Ok/mkVEJKKkICIiESUFERGJKCmIiEhESUFERCIJ+z+FRDGz1UBd3WWrJYm6pcbeT+umelo/1dP62bVUrZsD3L3Ge8TsdUmhLpnZ1Hj+mWN/pHVTPa2f6mn97Fp9XzfqPhIRkYiSgoiIRPb3pPBoqgOox7Ruqqf1Uz2tn12r1+tmvz6nICIiO9rfWwoiIhJDSUFERCL7ZFIws1PMbK6ZzTezG6sYn2Vm48Lx/zGzLjHjbgrL55rZ0GTGnSx7un7M7GQzm2Zmn4d/v5fs2JOhNttPOL6zmW02s18mK+ZkqeVvq6+ZfWxms8NtKDlPok+iWvy2MszsqXC9fFnxULKUcPd96kXw7IZvgG5AJvAZ0KvSND8FHgnfXwCMC9/3CqfPArqG9aSn+jPVo/UzAGgfvu8NLE/156lP6ydm/HjgReCXqf489WXdENymfxbQLxxuod/WDuvnh8DY8H1DYBHQJRWfY19sKQwG5rv7AncvAcYCwytNMxx4Knw/HjjRzCwsH+vuW919ITA/rG9fssfrx91nuPuKsHw2kGNmKXhqfULVZvvBzM4EFhKsn31NbdbNfwGz3P0zAHdf6+7lSYo7WWqzfhzIDZ9YmQOUAAXJCXtH+2JS6AAsjRleFpZVOY27lwEbCY5c4pl3b1eb9RPrHGC6u29NUJypssfrx8waATcAv0pCnKlQm23nYMDNbJKZTTez65MQb7LVZv2MB7YA3wJLgN+7+7pEB1yVhD55TfZNZnYo8FuCoz/Z7k7gPnffHDYcZLsGwDHAYUAh8E74zOB3UhtWvTEYKAfaA82AD8zsbXdfkOxA9sWWwnKgU8xwx7CsymnC5loTYG2c8+7tarN+MLOOwATgx+7+TcKjTb7arJ/Dgd+Z2SLgF8DN4XPK9xW1WTfLgPfdfY27FxI8pndgwiNOrtqsnx8Cb7h7qbuvAj4CUnJ/pH0xKXwKdDezrmaWSXAyZ2KlaSYCF4fvzwXe9eAMz0TggvAKga5Ad2BKkuJOlj1eP2bWFPgncKO7f5S0iJNrj9ePux/r7l3cvQtwP/Abd/9TsgJPgtr8tiYBfcysYbgzPB6Yk6S4k6U262cJ8D0AM8sFjgC+SkrUlaX6jH0iXsCpwNcEVwLcEpbdBQwL32cTXB0yn2Cn3y1m3lvC+eYC30/1Z6lP6we4laDfc2bMq3WqP099WT+V6riTfezqo9quG+AighPwXwC/S/VnqU/rB2gUls8mSJbXpeoz6DYXIiIS2Re7j0REZA8pKYiISERJQUREIkoKIiISUVIQEZGIkoLs18zs9fD/L+oNM3vezGaZ2X+nOhbZ/+iSVNkvhTchM3fflupYYplZW+BDdz8o1bHI/kktBdmrmdk9ZvazmOE7zexWM3snvPHa52Y2PBzXJbzX/dME/0DVycwWmVnLcPwr4XMiZpvZFTF1bjaz/zGzz8zsEzNrE5a3MbMJYflnZnZUWH6RmU0xs5lm9hczS68i7mwzeyKMb4aZnRCOehPoEM57bKV5upjZV2b29/Ce++PNrGE4bpGZ/S6sb4qZKanIHlFSkL3dOOAHMcM/ILg18VnuPhA4AfhDxa2tCW5d8rC7H+ruiyvVNcrdBxHcc+YqM6u4M2wu8Im79wPeBy4Py8cA/wrLBwKzzawncD5wtLv3J7jJ2YVVxP0zwN29DzACeMqCh84MA75x9/7u/kEV8/UI4+9JcGvln8aM2xjW9yeC22yI7DYlBdmrufsMoLWZtTezfsB6YCXwGzObBbxNcLviNuEsi939k11Ud5WZfQZ8QnDTsu5heQnwWvh+GtAlfP894M9hHOXuvhE4ERgEfGpmM8PhblUs6xjg2XDer4DFBLeXrslS337fqWfDeio8H/P3yDjqEtmJbp0t+4IXCW4u1pag5XAh0AoY5O6l4V1LKx79uKWqCsxsCHAScKS7F5rZ5Jh5Sn37ybdyqv/dGPCUu+/wOEUzOwu4Ixy8LJ4PZWadgFfDwUeANwgexhLL43gvEje1FGRfMI7gjpTnEiSIJsCqMCGcABwQRx1NgPVhQjiE4C6VNXkH+AmAmaWbWZOw7Fwzax2WNzezA9x9Qtgl1N/dpwIfEHYrmdnBQGeCmzBG3H1pzDyPhMWdzayiFfBD4MOYWc6P+ftxHPGL7ERJQfZ67j4byCN4ZvS3wN+BfDP7HPgx8d2C+A2ggZl9CdxD0IVUk6uBE8LlTCN4Hu8cgrvJvhl2X70FtKti3oeBtHDeccBIj+8pdnOBn4VxNiPsvgo1C5d5NaDLWWWP6JJUkb2EmXUBXnP33lWMWwTku/uaJIcl+xi1FEREJKKWgoiIRNRSEBGRiJKCiIhElBRERCSipCAiIhElBRERifx/G/zy8IkLLw8AAAAASUVORK5CYII=\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "for n_voters in df8['number-of-voters'].unique():\n", + " ax = sns.scatterplot(x=\"variance-of-pp\", y=\"wellfare-loss\",\n", + " hue=\"voting-mechanism\",\n", + " data = df8[df8[\"number-of-voters\"] == n_voters])\n", + " ax.set_title('wellfare loss vs perceived pivotality, n_voters={}'.format(n_voters))\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true + }, + "source": [ + "# Wellfare Loss Prop8 Calibration, MP divided by various amounts" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "## The Data" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [ + "df8 = pd.read_csv('2020.02.22-single-issue-QV-prop8-divide-mpp.csv')\n", + "cols_to_drop = ['minority-fraction', 'majority-mean-utility', 'majority-utility-stdev', 'minority-mean-utility',\n", + " 'minority-utility-stdev', 'limit-votes?', 'payoff-include-votes-cost?']\n", + "df8.drop(columns=cols_to_drop, inplace=True)\n", + "df8.rename(columns={'variance-of-perceived-pivotality': 'variance-of-pp'}, inplace=True)\n", + "df8['wellfare-loss'] = 1 - df8['mean payoff-sign-list']\n", + "df8_1p1v = df8[(df8['voting-mechanism'] == \"1p1v\")].copy().reset_index()\n", + "df8_QV = df8[(df8['voting-mechanism'] == \"QV\")].copy().reset_index()\n", + "df8_QV['mpp-str'] = df8_QV['mpp-divided'].apply(lambda x: \"=\" + str(x))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "## Wellfare loss of QV vs number of voters\n", + "\n", + "There doesn't seem to be any difference in WL depending on if perceived marginal pivotality is divided by 10, 100 or not." + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [ + "def WL_vs_num_voters(pdf, title):\n", + " f, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 5))\n", + " sns.scatterplot(x=\"number-of-voters\", y=\"wellfare-loss\",\n", + "# hue='variance-of-pp',\n", + " hue=\"mpp-str\",\n", + " data=pdf, ax=ax1)\n", + "\n", + " sns.scatterplot(x=\"number-of-voters\", y=\"wellfare-loss\",\n", + "# hue='variance-of-pp',\n", + " hue=\"mpp-str\",\n", + " data=pdf, ax=ax2)\n", + " ax2.set(xscale=\"log\", xlabel = \"number-of-voters (log scale)\")\n", + "\n", + " plt.setp(ax1.get_legend().get_texts(), fontsize='10') # for legend text\n", + " plt.setp(ax1.get_legend().get_title(), fontsize='10') # for legend title\n", + " plt.setp(ax2.get_legend().get_texts(), fontsize='10') # for legend text\n", + " plt.setp(ax2.get_legend().get_title(), fontsize='10') # for legend title\n", + "\n", + " f.suptitle(title, y=1)\n", + "\n", + " f.tight_layout()\n", + " plt.show()\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": { + "hidden": true, + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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cQ+h2eQzhHl4nE11bkFwp2vduAW6JRvg6mNC4PJlwhuDgNNaVTWnFTdiuPYlXY9vXo6H7eux+l4Vtuo7QaKhr8JF7CPvFSYQzkScnlSf7HuFAw8nuXm0bRp+p2s6+1faZivMtwvv6sbv/MnmCmf2Z7d+HEmfYdmPbmac4if/j/e5+Yh31AHD3qYSDEnUtK+3Pdx3r6V1fHerfl+MaIz2peUawRn0zG0D9B4ySLXH3O5NeLwb2r+UM/J5JdeqTqLNn6gQzM0LD6APfdm+kUYSc9brF36/2D2b2B+AKd/95yrTEZyd2kCWRlkij4UlrcifhiOrZZtYtrkKUGH6YVL+aKFncS/iRcywNvLdS1PhZQPixcgihj/3/RZOfJjTWziVc/Dw7ZfZE97/aRstqDP0J3UVmec17y4xrwPIa8z3Mj55r3BckOms4hnCGoMbZRQ/3qnnS3b8L3Eg4w1jj/bl7ubu/4O4/Igz8UUT6o6ndQ/jB+81oP5xE6M73YW0zuPsqd3/Q3adE7+8gM8vmEep0pBv3fKCzmY2KWcbBSXUSqqLnuLNcjbafNGSbRo2tN4ABVvv9a2YQBmg4OTrz/HXCmbYXUurtET0/klwY7aP7ZvRmalfbOoxwUGB7vRw9H1FPvTcJ22R0HdstXQ3+fDfQgGgkzFSJYdH/GzMt7p5EcfUHEM6gpftIbVg9Ez3Hbf+jUurUpa7ljCXku+TlzCSM8pf6SHQ1fCl6HdcVd1D0XGcXSZGWRI0laTXc/W1C/+ruwIzobMlW0dmC6whnez4g9MmOk2gY/Q/hDufvEdN/Pg2zo1jOBF70cE8LCI2mUsJoX4l6yW4ndNe52sK9o6oxsy7RcNjZlOiWMtaSDiWa2V5sa1xm4mHgQ+CSuCGSzay4jmF56xRdb/AMMMrMTkqZfCnhqO99ie1tZmNrGcY2sX9sjurtG53tq7NemvE9R/hh8h3CEdrUrmxYzL1nzKyY0CWmkm2NjCaRbtxsO8hwdfIP42i457MIR9ZnJNVPnDXtE7OsrO7rWdqmzwEdCNft1RB1UXwomv4DwgGPe2POUic+U1sb49Fn62pqP5uRqRrriHyP9K8bq8udhO5Ul5hZte1hwa4QrpEj3PR0D1L2i6T6X4jO7NYp0893FhQQBuhIjnUS4SDXfHeP+9F/uZl1TKrfi3AGejNJt1lw91nubhk8Uu+NdRthn708+bvJzEYShlV/h5TGkpkNTv0sRdfNvghMNLMjkuoWEm44C+GMbKL+de5+VuqD0FUSwhnEs9w97p6DXwCW1nVwSKSlUTc8aW0uBboSzggtNrPHCEd9uxGOxPUl/Jg7xt3Xxi3A3V+zcCPIxH2Rbo/5IZSO2YTua9XOHrl7eXTd0qHUvF4Jd//Uwg0O7yd0g/gnoRtFR8IZoAmEpJXOvX/S4u4rzOwhwgX9L5vZ04SuN1MIRxm/muHyyizcvPNfwItm9gSwiPCd049wBmIO4d46DXE+4SjnXRbu3/IO4W70RxD+35cm1b0UmBBdo7SUcB3WFwhHh18ljHoF4aju2Wb2HKGBvJFw/cWRhB+lD2QQ3z2ELpaXE66NezCmzgwzW0doPL9PuE7mKML/+PrUQRuaSDpx30m4v85kYH60f3Yl3OS5CDjTk26gSdi+3wduNrN/EIYift/d72qEfT0b23QG4YfvRMLZ4Tj3EPaXqUmvU91E+B6abmb3E753xkexzKbmAAcNcRdh/74+GjRhOeH6yAMINwidvD0Ld/ePLdxk927gFTN7mDDMe0/CfvJPQsMMwmhwowkHgaZEn6M1hOup9iOccdiV9K5lyeTzvb3mE+6v9yKh4dGHcM1iKfH7XRXhGq7Xo+/MIsLZxe7AhZ5yM/Tt4e5vmtnPCPvZf81sOuE6wm8QDnaf7e5bDwBEZzrfjGJM/X13HmGbPhrtjysJBwOHE663ixu0IiPRwbU+hEFQRFoPbwZD8umhR7YfhKT6D0JSq2Db0Kz/BnZNY/7vRvWrgN4NjCFxvyWn5j2KLqeW4XGT6gwlDIn7IeEH/meEH/e/AgYn1etHFoYOJ1yIfi3hR+ZmYCHhwvv+tSx/GbUMa5tUpy9hOOn3CD++1xK6Z1wH7J/mdoxdD6GLy51sG4jig2hdPVPqTSL84H6b0ABaT/gR/GOq3w/oC4QfuG8QrtXYRPjh8ZvUZaYRc9doGzrwj1rqnE/oPrUsqruK8GPmFMDSXI8TbhiZ9nbb3rijeoWEH6wLo/rrCI3qg2upfwnhB295XMwZ7OsTqGP47CxtUyM02F6to04+4bvFqWN4dsL1ky9G+91qwnfSnsQMdc22ocNPr2VZse8d2IcwcuPaaN+eSbjebiopw0XXtf2o+7th/yj2VYTP8YfR63Ep9QoIZyVfIlxTVEpoXD1MaFwW1LatGvr5jurW2J5pLD8xdPgswnfcP6JtuIlwzWuN76doX6oknHn8A6FxWkboendyJp+1DD+XpxBGpkvcx+xxYL863lNlLcsZTDgAsjr6fLwe/b/y0oyjzqHDCTcDdpI+s3ro0Roe5t6QA+YiLYuZ7UfoXvMRoeFS2whIItLGmdl3CD/M93P3V3Mdj2RfdBamAnjSa3Z/q22e54ED3F29clJE23Mx8Ja7H1VffZGWRNcsSZvg7q8QjtwOBGbm4OJ5EWk5bgbeJXQtE5H6nULoSZDNLpIizYKOjkib4e4PREe/9iKMAJTtIa1FpBVw9wozO51wQXyx1xwhUkSqc+AsD7dfEGlV1A1PRERE2hR1wxORdKmxJCIiIiIiEkPXLImIiIiIiMTQqeQY3bt39379+uU6DBGRFumVV175zN175DqO1k65SkSk4dLNVWosxejXrx/z5s3LdRgiIi2Smb2f6xjaAuUqEZGGSzdXqRueiIiIiIhIDDWWREREREREYqixJCIiIiIiEkONJRERERERkRhqLImIiIiIiMRQY0lERERERCSGhg4XkRZnw4YNfPrpp1RUVOQ6lDalsLCQnj170rlz51yHIiLSIihfNb1s5yo1lkSkRdmwYQOffPIJvXr1ori4GDPLdUhtgrtTWlrK8uXLAdRgEhGph/JV02uMXKVueCLSonz66af06tWLDh06KPE0ITOjQ4cO9OrVi08//TTX4YiINHvKV02vMXKVGksi0qJUVFRQXFyc6zDarOLiYnUnERFJg/JV7mQzV6kbXpasLl3NotWLWFe2jjG7jKFb+24U5GvzijQGHaHLHW37lm192Xo+KfmEBasWMKL7CHbpuAtdirrkOiyRVkvfmbmRze2uX/NZsLp0NWc/cTaL1y0GoLigmGlfnsbunXfPcWQiIiLB5srNPLT4IX73yu+2ll24z4V8c+g3KS7Q0W8RkTjqhpcFb65+c2tDCaC0spS/zP8Lmys35zAqERGRbTaUb+DG/95YreymBTexsXxjjiISEWn+1FjKgnXl62LLKrdU5iAaERGRmty9xkG8sqoy3D1HEYmINH9qLGXB/jvvT4eCDtXKTht6Gju02yFHEYmIiFRXXFDMYX0Pq1Y2ofcE2he0z1FEIiLNn65ZyoJu7bsx7cvT+MuCv7Bu8zpOG3YaQ7sNzXVYIiIiW3Uu6swVB1zBiB4jeGH5Cxyw6wF8Zc+vaIAHEZE6qLGUBQX5BfTt3JcrD7iSqi1VdGzXMdchiYjUad26ddx77718+9vfznUo0oR2Kt6JU4eeyvF7Hk9xYTEFefoZICLNW67zlbrhZVH7gvZqKIlIi7Bu3TpuvPHG2GmVlbresjUryCugU1EnNZREpEXIdb5SY0lEJIeWLVvG4MGDOf3009lrr704+eSTmTVrFuPGjWPPPfdk7ty5TJ06lVNOOYWxY8ey5557cssttwAwe/ZsDjroICZPnsygQYM477zz2LJlS411LFy4kDFjxjBq1ChGjhzJ4sWLueyyy3jvvfcYNWoUl1xyCbNnz2b8+PFMmTKFoUPVjVhERKprs/nK3fVIeey3334uIs3TokWLch1CVi1dutTz8/N9wYIFXlVV5fvuu6+fccYZvmXLFn/44Yf9mGOO8Z/85Cc+cuRILykp8VWrVnnv3r19+fLl/vTTT3tRUZG/9957XllZ6RMnTvRp06bVWMcFF1zgd999t7u7l5WVeUlJiS9dutSHDRu2tc7TTz/tHTp08CVLltQbc33/A2CeN4Pv8tb+UK4Sad6Ur3Kbr7KVq3RmSUQkx/r378+IESPIy8tj2LBhHHbYYZgZI0aMYNmyZQAcc8wxFBcX0717dw455BDmzp0LwJgxYxgwYAD5+fl84xvf4Pnnn6+x/LFjx/LLX/6SX//617z//vsUF8ffgHTMmDH079+/0d6niIi0bG0xX6mxJCKSY0VFRVv/zsvL2/o6Ly9va39sM6s2T+J1XPlDDz3EqFGjGDVqFPPmzeOkk07ikUceobi4mKOPPpqnnnoqNo6OHXXNpYiI1K4t5is1lkREWoAZM2awefNmVq9ezezZs9l///0BmDt3LkuXLmXLli3cf//9HHjggRx33HHMnz+f+fPnM3r0aJYsWcKAAQO48MILOeaYY1iwYAGdOnVi48aNOX5XIiLS2rS2fKXGkohICzBy5EgOOeQQDjjgAK644gp22203APbff38uuOAChgwZQv/+/TnuuONqzPvAAw8wfPhwRo0axRtvvMGpp55Kt27dGDduHMOHD+eSSy5p6rcjIiKtVGvLVxaub5Jko0eP9nnz5uU6DBGJ8eabbzJkyJBch9Gkpk6dyg477MD3v//9auWzZ8/mmmuu4bHHHmvSeOr7H5jZK+4+uglDapOUq0SaN+WrbXKRr7KVq3RmSUREREREJIbuSCci0sxNnTo1tnzChAlMmDChSWMRERGpTWvMVzqzJCIiIiIiEkONJRERERERkRhqLImIiIiIiMRQY0lERERERCSGGksiIiIiIiIxNBpelny2sYy3P9nIupJy9tt9J7rv0I6CfLVFRUSk+VhfUsGqz8tY8NE6hvfqws6diujSoV2uwxIRabbUWMqCzzaWceptc1m0cgMAnYoKePTCA+nXrWOOIxMREQk2V1Qy/bWP+Omji7aW/ejoIZxywO4Ut8vPYWQiIs1Xk5/6MLM+Zvagma03sw1mNt3M+qY57y/N7AkzW21mbman11H3bDN7y8zKzOxtMzsva28ixaKVG1i0cgPnjd2ZF749mCdP70Xx5lWUl5c31ipFRKSRtbZ8tb60kt/OfLta2e//8zYbNlc0xupajorNsHElfPYObPwYKspyHZGINCNN2lgysw7AU8Bg4DTgFGBP4GkzS+c0zHeBYuCxetZzNnAT8A/gSGAacKOZnd/w6Gu3+vMyzj1gZ77T43V63fEFet4xjp3vOYSCNe80xupERKSRtcZ85e6UlFdVK9tcsYUt7tleVctRVQHLnoM/7QPX7w/X7QsfzYWqqvrnFZE2oam74Z0NDAAGufu7AGa2AFgMnAv8vp75u7j7FjMbCJwaV8HMCoBfAHe5+4+j4qfNbDfgZ2Z2q7tn9TDaAXt045Ddquh0yyXhixegZA15M74N35wOHbtnc3UiItL4Wl2+Km5XwKlj+3JwrzwGdCti2dpyZr1fSXFhG+6CV7Iapp8NFaXhdfkmmH4WnPMsdNo5t7GJSLPQ1N3wpgAvJRIPgLsvBV4AjqlvZnffksY6xgI9gLtTyu8CugEHph1tmnoWltGFDdsaSgmr3oItOjol0tw9/Npyxv3qKfpf9jjjfvUUD7+2PNchATBt2jSGDRtGXl4e8+bNy3U4bU2ry1ddiguZOq6Yw+adS/879uOQ/zuLn40rYsfiwmyupmWpKofStdXLNn4MW9p410RplpprroLWna+aurE0DHgjpnwhMDSL6yBmPQuj52ytZ6v8kk+x0rXQoVv1CQOPgMLibK9ORLLo4deW88Ppr7N8XSkOLF9Xyg+nv94sktDw4cOZPn06Bx10UK5DaYtaX776fBV5930DPn49vP5kIXn3nQibVmV1NS1KQXvoMah62a6jQrlIM9KccxW07nzV1I2lnYC1MeVrgK5ZXAcx61mTMj173p8Dz/wajv/bti/ZwZPh6N9A+85ZX52IZM9vZ75NaUX1M8ClFVU1LoTPhSFDhjBo0KBG4F+8AAAgAElEQVT6K0pjaH35qqosDGJQbU1LoHJzVlfTouzQE056AHYfBwVF0P9g+Ppd6j4vzU5zzlXQuvOVhg6PmNk5wDkAffumNdjRNruOgkcvDKfyx5wDXfqE8o49shyliGTbinWlGZVn2/jx49m4cWON8muuuYaJEyc2SQzScmxXrsorhM69YEPSkegddob8Nn6fpa794Ot3hy55BUVQnK22sEj25DpXQdvNV03dWFpL/BG52o7gNXQdROtZmbIO2HbErhp3vxm4GWD06NGZDQ20Yx8Y9z2Ycx08ehH0HQsn3AH5bbgfuEgLsduOxSyPSTa77dg0XWife+65JlmPZKxZ5qvtylUdu8MJd8K9J4SBDTrsBCfcBR10YI8O2e90IpJNuc5V0HbzVVM3lhayrY92sqHAopjyhq6DaD3JySfR9ztb69mmw04w/vvwhXPBt0C7jjoyJdJCXDJpED+c/nq17g3FhflcMqlpuhO01SN1LUDry1d5+aEnxPkvhtHfCovDtbb5bXg0PJEWIte5CtpuvmrqxtIjwDVmNsDdlwCYWT9gHHBZltYxB/gMOBmYlVT+TcJRuheytJ7q2ndibVURK9eX8t6yTYzqU8ROHdvRsUg9HUWas2P36QWE/uAr1pWy247FXDJp0NbyxtZWj9S1AK0zX+UXQKddsr7Ylmx9aTmrNpazcMV6RvTqQvcdiujclkcIlGYp17kK2m6+aupf8rcAFwAzzOxywIGfAR8SbsoHgJntDrwHXOXuVyWVH0wYZjXxTT/azD4HcPcHo+cKM7uCcFO/5YQEdChwJvBddy9vjDe2vrScP/znHe586X0A8gz+etr+HLxXD/LyrDFWKSJZcuw+vZo04aTroYce4rvf/S6rVq1i8uTJjBo1ipkzZ+Y6rLai1eYr2aa0vIoH5n3ELx5/c2vZz48dzvH79aaoLd9/Spql5pqroHXnqyZtLLn7JjM7FPgD4T4SBjwJfM/dP0+qakA+NUfr+ylwcNLr70SPxDyJ9fzFzBz4X+AS4APgAne/MYtvp5pNZVVbG0oAWxyufOQNpp8/jh6dihprtSLSih133HEcd9xxuQ6jTWrN+Uq22bC5gmtSRhP71b/e4vChO7OzGksiaWvN+arJ+4i5+wfAV+ups4ykZJJUPiGD9dxE0tG/xlZeWfP+g2s+L8fJ7PpbERFpHlprvpJtqrY4ZSn5e1N5Ja7ULSKRpr7PUqvVsaiAPXp0rFZ2wv596FSkfs8iIiLNUXG7fMYNrH5D+cMG96RYZ5VEJKLRB7KkR6ci7jnrAG54+l0WrtjA0SN24bh9e1HcTl+4IiIizVHXDu249uv7cNvzS/i/pWs4cGB3Tv1iP7p00IFOEQnUWMqiXbq058eTh1BaXkXn9gXk5+vEnYiISHPWo1MRFx8+iM/LKulYVEC7AuVuEdlGjaUsa1+YT3udvhcREWkxCgvy6FrQLtdhiEgzpMMnIiIiIiIiMdRYEhERERERiaHGkoiIiIiISAw1lkRERERERGKosSQiIiIiIhJDo+FlUWllKRvLN1JaWUrHgo50bd+V/DyNjCciItJclVWVsaFsAyWVJXQo6MCORTtSmK/7LIlIoMZSlpRWlPLkB0/ykxd/QvmWcrq178atk25l4I4Dcx2aiIiIxKisqmT+p/O58KkLKaksYYfCHbjhsBvYu8feOtgpIoC64WXNxoqNXPnilZRvKQdg9ebVXP785azdvDbHkYlISzVt2jSGDRtGXl4e8+bNqzbt6quvZuDAgQwaNIiZM2fmKEKRlm1t2VoueeYSSipLAPi84nN+8OwPWLN5TY4jE2lZWnO+0pmlLCmpKKFiS0W1ssVrF1O5pTJHEYlI2hY8AE9eBes/gi694bArYeQJuY6K4cOHM336dM4999xq5YsWLeK+++5j4cKFrFixgokTJ/LOO++Qn68j4SKZKN9Sztqy6gc1Pyn5hCqvylFEInVoprkKWne+0pmlLOlY2JEuRV2qlY3rNY72Be1zFJGIpGXBA/DohbD+Q8DD86MXhvIcGzJkCIMGDapRPmPGDE488USKioro378/AwcOZO7cuTmIUKRlK8ovol/nftXKBnUdRLu8drkJSKQ2zThXQevOV2osZUnX9l259fBb2XPHPcmzPA7qfRCXH3A5ndp1ynVoIlKXJ6+CitLqZRWlobwJjB8/nlGjRtV4zJo1q9Z5li9fTp8+fba+7t27N8uXL2+KcEVale7F3bnhsBsY2X0khrFPz3249pBr2al4p1yHJlJdjnMVtN18pW54WVKQV8DgboO59YhbqfIqivKL6FzUOddhiUh91n+UWXmWPffcc02yHhGJ17dzX64/7HqqvIoCK2DH9jvmOiSRmnKcq6Dt5is1lrJMR6NEWpguvaNuDTHlTWD8+PFs3LixRvk111zDxIkTY+fp1asXH364LeaPPvqIXr16NVqMIq1d1/Zdcx2CSN1ynKug7eYrNZZEpG077MrQ7zu5e0NhcShvAg05UjdlyhROOukkLr74YlasWMHixYsZM2ZMI0QnIiLNQo5zFbTdfKVrlkSkbRt5Anz5T9ClD2Dh+ct/ahYjDD300EP07t2bOXPmMHnyZCZNmgTAsGHDOOGEExg6dChHHnkkN9xwQ4saWUhERDLUjHMVtO58Ze6e6xiandGjR3vqGPEi0jy8+eabDBkyJNdhtGn1/Q/M7BV3H92EIbVJylUizZvyVW5lK1fpzJKIiIiIiEgMNZZERERERERiqLEkIiIiIiISQ40lERERERGRGGosiYiIiIiIxFBjSUREREREJIYaSyIiIiIiIjHUWBIREREREYmhxpKIiIiIiEgMNZZERERERERiqLEkIiIiIiISo8kbS2bWx8weNLP1ZrbBzKabWd80521vZr81s5VmVmpmc8zsoJh63czsj2a2JKq31MyuN7Me2X9HIiLSGilfiYhIkzaWzKwD8BQwGDgNOAXYE3jazDqmsYi/AmcDVwJfAlYCM81sVNI6DHgEOAn4LXBU9Hwi8Gg0XUSk2Zs2bRrDhg0jLy+PefPmVZt29dVXM3DgQAYNGsTMmTO3lv/73/9m0KBBDBw4kF/96ldNHXKroXwlIpK+Vp2v3L3JHsBFQBUwMKmsP1AJXFzPvHsDDpyRVFYAvA08klS2V1TvnJT5z4vKB9UX53777eci0jwtWrQo68t87L3H/PBph/uIv43ww6cd7o+991jW19EQixYt8rfeessPPvhgf/nll7eWL1y40EeOHOmbN2/2JUuW+IABA7yystIrKyt9wIAB/t5773lZWZmPHDnSFy5c2Chx1QWY502YWxrj0RLylXKVSPOW7XzVXHOVe/PMV9nKVQXZbnzVYwrwkru/myhw96Vm9gJwDPD7euatAO5PmrfSzO4DLjOzIncvA9pFkzekzL8uetZ1WiKy1eNLHmfqi1PZXLUZgJWbVjL1xakATB4wOYeRwZAhQ2LLZ8yYwYknnkhRURH9+/dn4MCBzJ07F4CBAwcyYMAAAE488URmzJjB0KFDmyzmVkT5SkSajeacq6B156um/iIeBrwRU74QqG/rDAOWuntJzLztgIFJr58FrjCz0Wa2g5mNIXSF+Je7v9ng6EWk1fnjq3/cmnwSNldt5o+v/rFJ1j9+/HhGjRpV4zFr1qxa51m+fDl9+vTZ+rp3794sX7681nJpEOUrEWk2cp2roO3mq6Y+s7QTsDamfA3QdTvmTUzH3d3MjgbuAl5Oqvc4cHxG0YpIq/fxpo8zKs+25557rknWIxlTvhKRZiPXuQrabr5q6sZSU7kFOIDQ7/tNYAjwU+BBM/uyu29JncHMzgHOAejbN63BjkSkFdil4y6s3LQytrwpjB8/no0bN9Yov+aaa5g4cWLsPL169eLDDz/c+vqjjz6iV69eALWWS7OVUb5SrhJpm3Kdq6Dt5qumbiytJf6IXG1H4VLn3b2WeSE6Ymdmk4FvABPd/clo2rNmtgR4AvgyMCN1Ie5+M3AzwOjRo72eWESklbho34uq9QMHaJ/fnov2vahJ1t+QI3VTpkzhpJNO4uKLL2bFihUsXryYMWPG4O4sXryYpUuX0qtXL+677z7uvffeRoi6TWiW+Uq5SqRtynWugrabr5r6mqWFhL7cqYYCi9KYt380nGvqvOVA4iLcEdHzyyn15kbP8VegiUibNHnAZKZ+cSq7dtwVw9i1465M/eLUZnHB7EMPPUTv3r2ZM2cOkydPZtKkSQAMGzaME044gaFDh3LkkUdyww03kJ+fT0FBAddffz2TJk1iyJAhnHDCCQwbFveVK2lQvhKRZqM55ypo3fnKwsh5TbQys+8B1wB7ufuSqKwfsBi4zN1/V8e8+wCvAqe7+x1RWQHwOvCuu385KjsduB043N1nJc1/BDATONXd76orztGjR3vqGPEi0jy8+eabtY66I02jvv+Bmb3i7qObMKSsawn5SrlKpHlTvsqtbOWqpj6zdAuwDJhhZseY2RRCF4MPgZsSlcxsdzOrNLMrE2Xu/hphGNZrzewsMzsMuI9w34ufJK1jOrACuNPMzjezQ8zsfODOaD0PNeo7FBGR1kD5SkRE0m8smdkXzexLSa+7mdnfzex1M7vGzPLrW4a7bwIOBd4hjP5zD7AUONTdP09eHZAfE98ZhKNwPyeMFtQHONLdX01axwbCxbL/An6Q9PwoMDZlPSIi0opkI1eB8pWIiASZDPDwK+BJ4LHo9W+Bo4FZwPnAeuBn9S3E3T8AvlpPnWWEBJRaXgpcHD3qmv9D4Fv1xSIiIq1OVnIVKF+JiEhm3fCGAPMAzKwQ+BrwP+7+VeDHwEnZD69lKq8q57PSz/is9DOqtlTlOhwRkbZEuUpaDHdndelqPiv9jNLK0lyHIyIxMmks7QBsiP4eA3Rk25G7VwHd8AFYu3ktNy24iSkPTeHEx07kifefYGN5zTHpRaThmnJgGqmuBWx75SppEUoqSnhp5Uuc8q9TOHr60fxu3u9Ys3lN/TNKi9ICvjNbpWxu90waS8uBvaO/jwLecPdPo9ddgZKsRdWCvbjiRW5ecDMbKzbySckn/ODZH/Bpyaf1zygiaSksLKS0VEdgc6W0tJTCwsJch1EX5SppEdaVreP8Wefz4cYPKa0s5f637+fBdx6kcktlrkOTLFG+yp1s5qpMGkt/B35pZg8S+mDfnTRtX8Jwqm1aSUUJ/1z6zxrlL654MQfRiLROPXv2ZPny5ZSUlOiIXRNyd0pKSli+fDk9e/bMdTh1Ua6SFuGtNW9R5dW76s96fxYbyjfUMoe0NMpXTa8xclUmAzxMBTYTRu75FfD7pGl7A9OyElELVpRfxIjuI3j2o2erlQ/eaXCOIhJpfTp37gzAihUrqKioyHE0bUthYSE777zz1v9BMzUV5SppAXbvvHuNsr267kVxQXEOopHGoHyVG9nOVWk3lty9CvhFLdOOzUo0LVx+Xj5f2+trPPXBU7y55k0Aju53NHt02SPHkYm0Lp07d27uP9glR5SrpKXoXtyd04aexp2L7sRx+nbqywX7XKDGUiujfNXypd1YMrPuQIdoKNVE2bnAcGCmuz9W68xtSPfi7vx54p8pqSwh3/LpWNiRLkVdch2WiEiboFwlLUWXoi6cu/e5fHPoNymvKqdDYQe6F3fPdVgikiKTa5ZuAy5LvDCzK4A/E4ZhnWFmX89ybC1Wt8pK+qz5kN02fEqXyvJchyMi0pYoV0mL0aminF0+X03f1cvoXlkJVbrdiEhzk0ljaTThRn8J5wG/dPduwA3Uc+O9NmPDCrj5YLj9qPB874nwuUbDExFpIspV0jJs+gxmfAf+/EW448twwxdg3bJcRyUiKTJpLO0EfAJgZsOBXYA7omkPA4OyG1oLVFUBc26AjSu3lS2fBytey11MIiJti3KVtAzrl8M7/9r2evM6mDUVynRvRpHmJJPG0mqgd/T3ocAKd08MwVqY4bJap6oKWLOkZvnaZU0eiohIG6VcJS1D8oHVhPUfgbrvizQrmQwdPguYGl08+7+EI3QJg4H3sxlYi9SuA+z/LXg76V5Lefmw5xG5i0lEpG1RrpKWYdeRUNgBKpLuk7zvKVDcNXcxiUgNmRxh+wHwIXA18B7w06RpJwPPZzGulqvXfvCVW2HXvWH3L8IZ/4Ydds51VCIibYVylbQMHXvAWU/CHodCz6Fw1G9h6LGQp5OfIs1JJvdZ+gQ4vJbJEwk3AZTirjDia7DHIWD50EFHiEREmopylbQY+YWw81D42u2hG3+HnUJvFBFpVjLphgeAmRkwlHAR7RpgkbtvyHZgLZoZdNS9EkREckW5SlqM4h1zHYGI1CGjc71mdhawElgAzI6eV5jZt7IfmoiISOaUq0REJFvSPrNkZicDNxPuX3E38DFhSNaTgZvNrMTd/94oUYqIiKRBuUpERLIpk254PwDucfdTUsrvMLO7gEsBJSAREckl5SoREcmaTLrhDSIcpYtzN7rRn4iI5J5ylYiIZE0mjaWNbLvRX6re0XQREZFcUq4SEZGsyaSx9C/gl2Y2PrnQzMYCP4+mi4iI5JJylYiIZE2m1ywdAMw2s+WEkYZ2IRypezeaLiIikkvKVSIikjWZ3JT2YzMbBZwJjCfcu2IZ8AzwN3cvaZQIRURE0qRcJSIi2ZTRTWmjJHN99BAREWl2lKtERCRbMroprYiIiIiISFtR55klM1sKeJrLcnffY/tDEhERSZ9ylYiINJb6uuE9Q/oJSEREJBeUq0REpFHU2Vhy99ObKA4REZEGUa4SEZHG0uBrlsysr5llNECEiIhIU1KuEhGR7dGgxpKZ5QNLgZHZDUdERCQ7lKtERGR7bc9oeJa1KERERBqHcpWIiDTY9jSWGnQxrZn1MbMHzWy9mW0ws+lm1jfNedub2W/NbKWZlZrZHDM7qJa6vczsNjP72MzKzGypmV3dkJgzta6knBXrSvl4/WY+L6toilWKiEi8Bg/80BbyleRWaXkVn2zYzPK1JazZVJ7rcEQkxvb04874aJ2ZdQCeAsqA0whJ7OfA02Y20t031bOIvwKTgUuAJcB3gJlmNtbd5yetpx/wAqH7xYXAJ0A/YGCmMWfqs8/LuPTBBTz51qcU5BnfGt+f8w7ag64d2zX2qkVEpKYGnVlqC/lKcmt9aQX/eOUjfv3vtyir3MK+fbvyl2/uS8/O7XMdmogkaVBjyd2rzKw/sCLDWc8GBgCD3P1dADNbACwGzgV+X9uMZrY3cBJwprvfHpU9AywErgKmJFX/C7AcOMTdE6d2nskw1oxVbXEefm05T771KQCVW5ybnlnCkcN2UWNJRKSJbUeuglaeryT31mwq56rHFm19/eoHa7nx6Xe57OghtC/Mz2FkIpIs4254ZpZnZsMJR74ybQFMAV5KJB4Ad19KOKp2TBrzVgD3J81bCdwHTDKzoii+PYBJwHVJiadJlFVW8cK7q2uUv/L+2qYMQ0SkzdvOXAWtPF9J7r3zycYaZS+/v5ZNZZU5iEZEapNRY8nMvgN8DPyX0D1hUFT+sJldmMYihgFvxJQvBIamMe9Sdy+Jmbcd27osjIueS83sP1H/77VmdqeZdUsjxgYrLsznsCE9apQfMKBRVysiIkmykKuglecryb0hu3auUXbgwO50al+Yg2hEpDZpN5bM7Gzgj8DDwNep3g/8OeCraSxmJyDuNMsaoOt2zJuYDrBb9Hwb8A5wFHApoe/4TDPbnkEt6mRmHDV8V766X2/y84wO7fL54VGD6d21uLFWKSIiSbKUq6CV5yvJva4dCvn9CXvTubgAM5g4pCdnjx9AuwL920Wak0yuWboY+J27XxrduyLZW4SLWJuDxLfMbHf/TvT3U2a2nqgLBPCv1JnM7BzgHIC+fdMa7ChWtx2KmPrlofzgiEFg0KW4UH2PRUSaTkvJVdCAfJWtXCW516l9IV8auRsHDuzOFofiwjy6dND1zSLNTSaHL/oDM2uZtgnYMY1lrCX+iFxtR+HSnRe2HbFLXDT0n5R6T0TP+8Qt3N1vdvfR7j66R4+aXeky0al9ITt3ac/OnduroSQi0rSykaugmearbOYqyb12BXn07NyeXbq0V0NJpJnKpLH0GeFC2TiDCKP51GchoS93qqHAopjy1Hn7R8O5ps5bDrybVK8uW+oLUkREWqxs5CpQvhIRETJrLD0GXGlmA5LK3My6A/9D6B9en0eAA5KXEd1jYlw0rS6PAoXA8UnzFhD6pD/h7mVR8UuEC3snpcx/ZPT8chpxiohIy5SNXAXKVyIiQmaNpcsJN+d7A5hFuEHfn4A3gSrCvSPqcwuwDJhhZseY2RRgBvAhcFOikpntbmaVZnZloszdXyMMw3qtmZ1lZocR+nT3B36SVK8SuAyYbGZ/MbMjzOzbwI3AbMLISCIi0jplI1eB8pWIiJBBY8ndPwNGA1cTjpi9Rxgg4npgrLuvT2MZm4BDCaP+3AXcQ7hr+aHu/nlSVQPyY+I7A7idcBf1x4E+wJHu/mrKeu4ATgUOJBzhuwK4G/iyu3u671lERFqWbOSqaDnKVyIigqXzXRyNKDQcWOHuqxo9qhwbPXq0z5s3L9dhiIi0SGb2iruPzsF6latERCQt6eaqdM8sOTCPWkaSExERaQaUq0REJKvSaiy5+xZCP+2OjRuOiIhIwyhXiYhItmUywMNNwPfMTDcCEBGR5kq5SkREsqYgg7qdgD2AJWb2b2AloctDgrv7T2LnFBERaRrKVSIikjWZNJZ+lPT3mTHTnaQhUUVERHJAuUpERLIm7caSu2fSZU9ERKTJKVeJiEg2KamIiIiIiIjEUGNJREREREQkRkaNJTM7x8xeM7MSM6tKfTRWkCIiIulSrhIRkWxJu7FkZqcC1wEvA+2B24G7gQ3Ae8BVjRGgiIhIupSrREQkmzI5s/Q94Grg/Oj1je5+GjAAKAVWZzk2ERGRTClXiYhI1mTSWNoTeBbYEj3aAbj7WuAXwEVZj05ERCQzylUiIpI1mTSWSoE8d3fgY8JRuoTPgd2yGZiIiEgDKFeJiEjWZHJT2teBgcAs4DngR2a2FKgEpgJvZT06ERGRzChXiYhI1mTSWLqZbUforiAkouej1xuBY7MYl4iISEMoV4mISNak3Vhy9/uT/n7XzIYBY4EOwIvu/lkjxCciIpI25SoREcmmOq9ZMrM1ZrZv9PdtZtY/Mc3dN7n7LHd/RMlHRERyRblKREQaS30DPHQEiqK/Twd6NGo0IiIimVOuEhGRRlFfN7z3gbPNLJGE9jGz9rVVdvdnsxaZiIhIepSrRESkUdTXWPoVcBNwGuDAjbXUs2h6fvZCExERSYtylYiINIo6G0vufpuZ/QvYC3gauBB4sykCExERSYdylYiINJZ6R8Nz95XASjO7A3jc3Zc2flgiIiLpU64SEZHGkMnQ4Wc0ZiAiIiLbS7lKRESyqc7GkpldmcGy3N1/tp3xiIiIZES5SkREGkt9Z5amZrAsB5SARESkqU3NoK5ylYiIpK2+AR7quw+TiIhITilXiYhIY1GCERERERERiaHGkoiIiIiISIz6BnjYQujfnQ5397RH1xMREckG5SoREWks9SWMq0g/AYmIiOSCcpWIiDSK+gZ4mNpEcYiIiDSIcpWIiDSWBl2zZGY7mNnuZlbYgHn7mNmDZrbezDaY2XQz65vmvO3N7LdmttLMSs1sjpkdVM88J5qZm9lHmcYqIiIt1/bkqmh+5SsRkTYuo8aSmX3JzF4F1gNLgBFR+a1mdlIa83cAngIGA6cBpwB7Ak+bWcc0QvgrcDZwJfAlYCUw08xG1bK+HYFrgY/TWLaIiLQC25urorrKVyIikn5jycyOBWYAnwGXApY0eSkhmdTnbGAAcKy7P+zuM4ApwO7AufWsf2/gJOB/3P0Wd38SOAH4gNBfPc5vgP8CM9OITUREWrgs5SpQvhIRETI7s/QT4HZ3P4Jw9CvZG8DwNJYxBXjJ3d9NFLj7UuAF4Jg05q0A7k+atxK4D5hkZkXJlc1sHPBN4DtpxCUiIq1DNnIVKF+JiAiZNZaGsO2LP3XUobVAtzSWMYyQrFItBIamMe9Sdy+JmbcdMDBREPVPvxn4bXKiExGRVi8buQqUr0REhMwaSxuA7rVM6wesSmMZOxGSVao1QNftmDcxPeFSoAi4Oo2YRESk9chGrgLlKxERIbPG0n+AH0YXoSZ41J3gAuBfWY2sgcxsIPBj4AJ335zBfOeY2Twzm7dqVbq5VEREmpkWkaugYflKuUpEpGll0lj6MbAL8DZwK6F7w2XAfKA3MDWNZawl/ohcbUfh0p0Xth2x+xNhBKOXzGzHKGG2Ayx6XRy3cHe/2d1Hu/voHj161Pc+RESkecpGroJmmq+Uq0REmlbajSV3XwbsBzwGHA5UAQcBLwFfcPcVaSxmIaEvd6qhwKI05u0fDeeaOm858G7S66MJySrx+AawW/S3ujqIiLRSWcpVoHwlIiJAQboVzewo4Fl3/9Z2rO8R4BozG+DuS6Ll9gPGEY781eVR4KfA8cAd0bwFwNeBJ9y9LKp3ItA+Zd7LCMnzeEA3+xMRaaWylKtA+UpERMigsQQ8DlSY2SuEbgNPAS9mcl0QcAuhz/gMM7uc0D3iZ8CHwE2JSma2O/AecJW7XwXg7q+Z2f3AtdHoQUuB84H+wMmJed39pdSVmtnpQJm7z84gVhERaXmykatA+UpERMjsmqW9gAuB94GzgFnAWjN7xsx+YmYH1bcAd98EHAq8A9wF3ENIIoe6++dJVQ3Ij4nvDOB24OeEhNgHONLdX83gfYiISOu13bkKlK9ERCQw99TbUKQ5o9lQQiI5DpgAuLtncqaq2Ro9erTPmzcv12GIiLRIZvaKu4/OdRygXCUiIvHSzVUZJ4zogtXxwCHAYcA+hPtaPJPpskRERBqDcpWIiGRDJgM8XEU4Orc/YTSf59OYjfoAACAASURBVIEHgPOA19x9S6NEKCIikiblKhERyaZMzixdDpQQ7gvxG3fX3fBERKS5Ua4SEZGsyWSAh4uAJ4AzgZVm9oqZ/dbMjjKzHRonPBERkYwoV4mISNZkclPa69z9K0B3YAxhZKAhwN+BNWb2QuOEKCIikh7lKhERyaaMB3hwdzezN4DOQFe2JaQDshybiIhIgyhXiYhINmQywMMXCRfNHgKMBYqA1cBswh3Kn26E+ERERNKmXCUiItmUyZml54F1wLPAZcDT7v56o0QlIiLSMMpVIiKSNZk0lkYThl1t2F1sRUREGp9ylYiIZE3ajSV3f7UxAxEREdleylUiIpJNmQwdLiIiIiIi0maosSQiIiIiIhJDjSUREREREZEYaiyJiIiIiIjEUGNJREREREQkhhpLIiIiIiIiMdRYEhERERERiaHGkoiIiIiISAw1lkRERERERGKosSQiIiIiIhJDjSUREREREZEYaiyJiIiIiIjEUGNJREREREQkhhpLIiIiIiIiMdRYEhEREZH/b+/O4+Qo6v+Pv97JHtlNQu6AgJBgQOQQ1PwEBLnlEgEVPDgUFJBLQUQEQUEEvyogoKBcigd8EUU5v6jcCEKAABIIyhECghwJ5L43yef3R9WQyWT2SLI7szv7fj4e/Zjt6uruqq7Z6a7uqmozK8OVJTMzMzMzszJcWTIzMzMzMyvDlSUzMzMzM7MyXFkyMzMzMzMrw5UlMzMzMzOzMlxZMjMzMzMzK6PilSVJ75Z0vaSZkmZJ+rOk9Tq4bj9J50p6XdJ8SQ9J2r4kzkaSLpI0QdKcHPdmSVt0TY7MzKwW+XxlZmYVrSxJagbuBjYGvggcAmwI3COpfwc28UvgCOC7wN7A68DfJG1ZFGc3YCfgN8AngGOAEcA4SR/qpKyYmVkN8/nKzMwA6iq8vyOADYD3RsQLAJImAM8DXwF+0tqK+U7bgcCXIuKqHHYfMBE4C9gnR/09cElERNG6dwMvAccDX+jcLJmZWQ3y+crMzCreDG8fYFzhxAMQEZOBfwD7dmDdFuC6onUXk042u0tqzGFvFZ94cthM4Dlgnc7IhJmZ1Tyfr8zMrOKVpU2Bp8uETwQ26cC6kyNiXpl1G4Axra0oaSiwGfCvjifVzMx6MZ+vzMys4pWlocD0MuHTgCGrsW5heWt+Bgi4sL0EmpmZ4fOVmZnRC4YOl3Qqqe34ccXNKcrEO1LSeEnjp06dWrkEmpmZ0bHzlc9VZmaVVenK0nTK35Fr7S5cR9eFZXfs3iHpKOAHwOkR8au2Nh4Rl0fE2IgYO2LEiHaSYmZmNa5bnq98rjIzq6xKV5Ymktpyl9oEeKYD647Ow7mWrrsIWO4unKRDgJ8D50fEOauWXDMz66V8vjIzs4pXlm4Gtpa0QSFA0ihg27ysLbcA9cABRevWAZ8Fbo+IhUXhnwSuAq6MiJM6K/FmZtZr+HxlZmYVf8/SFcBxwE2STgcC+D7wCnBZIZKk9YFJwFkRcRZARDwh6TrgQkn1wGTgaGA0cFDRutsD1wJPAr+WtHXR/hdGxBNdmD8zM6sNPl+ZmVllK0sRMVfSzsAFwO9II/7cBZwQEXOKogroy4pPvg4DzgHOBgaTTjB7RMTjRXF2BhqBD5Leh1HsZWBUp2TGzMxqls9XZmYGoJL34RkwduzYGD9+fLWTYWbWI0l6LCLGVjsdtc7nKjOzVdfRc1XNDx1uZmZmZma2KlxZMjMzMzMzK8OVJTMzMzMzszJcWTIzMzMzMyvDlSUzMzMzM7MyXFkyMzMzMzMrw5UlMzMzMzOzMlxZMjMzMzMzK8OVJTMzMzMzszLqqp0AgyUtLSyd9zYiWFo/gIbmgdVOkpmZmVlVLVmyhKVzpubro2YamgdVO0nWC/nJUpUtmjuDpf+6hforPkrdTzenzx2nsXj21Gony8zMzKxqFs6dzdLn/kb9L3ei7qLN6PuXb7J49pRqJ8t6IVeWqqzP/Lep//NhMGcKLGmh7onfsPSJa1iyuKXaSTMzMzOrirqF06j/w0Ew6zVYupi+T11HjLuUxYsWVjtp1su4slRlS/7zyAphDc/fxuJ5M6uQGjMzM7PqW/z60xBLlwurf+FvLJk3o0opst7KlaUq67PmJiuEtbzrg/Rp7F+F1JiZmZlVX98RY1YIW7zWlqhxQBVSY72ZK0tVtnSNdWjZ6lhQLoq13k+fbY+nvrGpugkzMzMzq5KlTcNp2e5k6NM3BYzYGO10Kg1NvplsleXR8KqsceBwFn70myzZ5hhiSQtL65ppGLRmtZNlZmZmVjUNA4exaJtjWTz2i7Ckhahrpt7XR1YFrix1A40DhgBDqp0MMzMzs26jof9gYHC1k2G9nJvhmZmZmZmZleHKkpmZmZmZWRmuLJmZmZmZmZXhPkvdwJKlS5i+cDoA/ev601TvkfDMzMysd1saS5m2YBoATXVN9K/3SHhWeX6yVGVzWuZwzyv38NlbP8vu1+/O+Y+dz/QF06udLDMzM7Oqmd8ynwf/+yAH/t+B7Hb9bvzw4R++U3EyqyRXlqps+vzpnHjviUyZN4VFSxdx3bPXcfOkm1mydEm1k2ZmZmZWFTMWzuDYu4/l9bmv07K0hRsn3ci1/7qWlqUt1U6a9TKuLFXZk1OfJIjlwu58+U7mtMypUorMzMzMquvZ6c+yNJYuF3b3K3cze+HsKqXIeitXlqpszJAxK4RtPnxz+vXtV4XUmJmZmVXfemust0LYJkM3cb9uqzhXlqpsrea1OPh9ByMEwEZDNuKwzQ6jsa6xyikzMzMzq45h/YZx5PuPpI/SperoQaM59gPH0lTnypJVliKi/Vi9zNixY2P8+PEV29/sRbOZ2zKXlqUtNNc1M6xpWMX2bWbW2SQ9FhFjq52OWlfpc5VZpc1ZNIc5LXNoWdJCc72vj6xzdfRc5aHDu4GBDQMZ2DBw1VZeMBPmTYep/4IR74PmodBvjc5NoJmZmVmFDWgYwICGAdXZ+bxpMGcKzHgZ1twsXV+5CWCv5MpST9YyHybeALccvyxsn4vh/Z8BN+MzMzMzW3nzZ8A9P4BHr0jzfevhC7fA+ttUN11WFa4s9WQLZtDywl3MOOxW5tc10LR4EYPHXU79hrvCwHdVO3VmZmZmPc/CWSxYspBZh9/OQkHT/JkMe+RSNHwM9B9R7dRZhbmy1IMtoQ9Pb3Uoxz14CrMWzWJQ4yAu3vosNlcf+lY7cWZmZmY90LwI7nrP1px173EsWLKAtfuvzRXb/YD1QtVOmlVBxUfDk/RuSddLmilplqQ/S1pxfMjy6/aTdK6k1yXNl/SQpO3LxOsj6VRJL0laIOlJSZ/u/NxU1zQF33jkHGYtmgXAzIUz+caj5zAND9phZra6fL4y651m19fz3cfOY8GSBQC8Nvc1znjyYmb29SDSvVFFS11SM3A3sDHwReAQYEPgHkn9O7CJXwJHAN8F9gZeB/4macuSeN8HzgQuBvYExgF/lLRXJ2Sj22hhKVPnT10ubMq8KSx2ZcnMbLX4fGXWe81smcPiWLxc2LPTnmVRLKlSiqyaKt0M7whgA+C9EfECgKQJwPPAV4CftLaipC2AA4EvRcRVOew+YCJwFrBPDhsJnAT8MCLOy6vfI2kM8EPgti7IV1U09m1k1BqjeGnWS++EjR40moa+DdVLlHWpWfOms2RpC0MGjKx2UqxGLVg4j3mLZtO/cRCNDb365dg+X5n1UkMah9BU18T8xfPfCdv6XVv7HU8lWha3MGv+2/Sr60//plUc1Xk1TJ/zJnV9GhjYPKRL91Pp54n7AOMKJx6AiJgM/APYtwPrtgDXFa27GPg9sLukwvBvuwMNwNUl618NbC5p9GrloBsZ1jSMn+70M9439H1AerP1RTv91O8hqEHzF85l0rTnOOPhMznxgW9x9+S/Mn3O1PZXNFsJb819k0v++VO++vcT+eVTl/H23CnVTlI1+Xxl1ksNahzEpbtexroD10WIj6y9LSd/+JTqDWPeDU2bO4Xr/vU7jr//JM577Me8Mfu/Fdv39DlTuX3SrXz9gW9x5sNnMXn6JBYuWtBl+6v0k6VNgZvKhE8EDujAupMjYl6ZdRuAMfnvTYGFwAtl4gFsAkxeiTR3WzPmLeLyu2ex/6jvMWqLJia/NZ/L75rFt/ZYxOBmP12qJTMXzeDzfzn4nbtc498cz8U7XMAOA3atcsqsVrw9+01OfOCbPDHlCQAmvDWBSbMm850Pn87g/sOrnLqq8PnKrJeaOW8pV961lOO2uIgRAxuY8Mpc/vzoLL687TAa6z2E1vwFc/jdM7/lymd+A8CTU59k3Jvj+e3uVzFiwFpdvv9H33yYbzxw6jvzD7z2IDfveyNrNnTNSNCVriwNBaaXCZ8GtPcMra11C8sLnzMiorTjTmm8Hm9+yxKufeQVrn1k+fCv7bIhg6uTJOsij74+brnmAADXPP8Hthi+JYMH9MoLWetkC2PROxWlgjtfuYeTx55cpRRVnc9XZr3UzHkt3DbhDW6b8MY7YcP6N7D/h9ZlpCtLzG6ZxfWTlr+X9OqcV5m9aDYj6NrK0vQ5b/K/z1+/XNi8xfOY8ObjfGzAx7tknx7WI5N0pKTxksZPndozmjf1kWgq+adtbuhLH3loy1ozvGnFCtHwxqHU1/kJonWOvupLfZ/65cIG1A9A/j3pVnriucqsp+nXsGKFaGj/Bl9fZX0QQ/qteM+osa7r+7nW9WlgWOOK+x5W5jqps1S6sjSd8nfkWrsL19F1YdmduOnAYK14hi+Nt5yIuDwixkbE2BEjesYLx9ZoqufkPd67XNi39tiYQU1+fVat2XDIxmwybJN35gfWD+ToLY6if781qpgqqyXNfZs4erPDlws76YMnsEZ9r/2OdcvzVU88V5n1NAMa69j/Q+u+M9+3j/jePpsyfEBjG2v1HkObR/LtsSfTV8sqlZ/cYB+a+nT9DdyBzUM4bsvjaK5rfidsi+FbsN4ao7psn5W+qi600S61CfBMB9b9pKTmknbgmwCLWNbmeyLQCLyH5duBF64029tPj9FU35dPf3Bdtt9oBBP/O5PN1hnEsAGN9Kt3ZanWDB+wJpfs+FNemvkiMxfOYPORWzK40S10rPMMbB7C/hvuz87r78Kzbz3DpiO3YFDdGvRr7Mgo2TXJ5yuzXmpwcwPf3ut9HPaRUUx+ey4fePcQhjTXt79iL9Gnb182Hbopt+13C0+++TijBm/Amk0jGTpgzYrsf+3+63DLvjfy5JuPM6xpOOutMYrhXbhvrdhUuutIOgE4D9goIl7MYaNIQ7GeEhHnt7HuB4DHgUMj4jc5rA54CnghIj6Rw0YCrwLnRMT3ita/E1gzIjZvL51jx46N8ePHr1Iezcx6O0mPRcTYaqdjdfSE85XPVWZmq66j56pKP4K4AjgOuEnS6UCQXsj3CnBZIZKk9YFJwFkRcRZARDwh6TrgQkn1pBGCjgZGAwcV1o2IKZJ+ApwqaTbphPVZYGfyuy3MzMza4fOVmZlVtrIUEXMl7QxcAPwOEHAXcEJEzCmKKqAvK/apOgw4BzgbGAw8CewREY+XxDsNmAMcD6wFPAt8JiJu7dwcmZlZLfL5yszMoMLN8HoKN20wM1t1tdAMryfwucrMbNV19FzlocPNzMzMzMzKcGXJzMzMzMysDFeWzMzMzMzMynBlyczMzMzMrAxXlszMzMzMzMpwZcnMzMzMzKwMV5bMzMzMzMzKcGXJzMzMzMysDL+UtgxJU4GXV3H14cBbnZicnsB57j16Y76d55W3fkSM6KzEWHn5XDUDmFmyaFCZsGp+j8ulp5Lb6ug67cVra3lry8qF12r51ELZlAuvhbJZ1W11t/Lp7P+djp2rIsJTJ07A+GqnwXl2np1v59l57h0TcHkHw6pWpuXSU8ltdXSd9uK1tby1Zb2pfGqhbMqF10LZ1Er5VOt/x83wzMzMeq5bOhhWTZ2ZnlXZVkfXaS9eW8tbW9abyqcWyqYj+6ok/++s3H66hJvhdTJJ4yNibLXTUUnOc+/RG/PtPFstcJl2by6f7stl071Vonz8ZKnzXV7tBFSB89x79MZ8O89WC1ym3ZvLp/ty2XRvXV4+frJkZmZmZmZWhp8smZmZmZmZleHKUieQ9G5J10uaKWmWpD9LWq/a6WqLpP0l/UnSy5LmS3pW0v9IGlgSb4ikKyW9JWmupDslbV5me/0knSvp9by9hyRtXyZeH0mnSnpJ0gJJT0r6dFfmtS2S/iopJJ1dEl5z+Za0l6S/S5qTv6fjJe1ctLym8ixpW0m3S5oiabakxyV9qavzIukISf+WtDD/Xx3VRflbV9LPcprn5e/xqDLxqpZHSftJeiJv72VJp0vqu7p5NzMzq5hKDoFYixPQDDwPPA3sB+wLPAVMAvpXO31tpHsc8AfgIGAH4ATS+zrGAX1yHAEPAK8Cnwf2AO4jjWe/bsn2rsnrHwHsAvwZmA9sWRLvHGAhcBKwE3AZsBTYqwrH4PPA60AAZxeF11y+ga8ALcAFwMeA3YFvAXvXYp6B9+c03ZP/Jz+W9x/A0V2Vl7ydpTn+TsDZef7oLsjjjsCbwG3A33LeRpWJV5U85u/YElJ78p2AE4EFwI8q8Z33tNLfp+8Az+Wy3K/a6fG0XNkMAW7N5fMkcDswptrp8vRO+VwHTACeAB4Bdql2mjytUEaH5XPkKv22VT0DPX0Cjs8XBGOKwkYDi4ETq52+NtI9okzYF/KXaec8v2+e36koziBgGvDTorAtcrzDisLqgGeBm4vCRuaLse+V7PcuYEKF8z8EeINUMSitLNVUvoFR+eL4hDbi1FqefwAsAgaUhD8EPNQVecnrTgF+UxLvV6RKZ30n57FP0d+HU6ayVM08ki4c7iuJ991cLmt19XfA00p/n7YGNgDuxZWlbjUBg4Fdi+a/Btxb7XR5WlY+RX9/IJ83+1QrPZ5WKJ9RwIP5/L9Kv21uhrf69gHGRcQLhYCImAz8g3QB2i1FxNQywY/mz3Xy5z7AaxFxT9F6M0nj3BfnbR/SU4vriuItBn4P7C6pMQfvDjQAV5fs92pgc0mjVy03q+RHwNMRcW2ZZbWW7y+R7hZf2kacWstzQ07n/JLwmSxrftzZedkGGFEm3u+AYcB2q5qZciJiaQeiVSWPkt4NbNlKvHpgzw6k3drQ0WaYOW67TcUjYlxEvFiJtPcGnVk+ETEjIu4sWuVB0gWgrYIu+N+ZUTQ7qAuTXvM6u2wk9QGuBL5KuiG4SlxZWn2bkprglZoIbFLhtKyuHfLnv/JnW3lbT9KAoniTI2JemXgNwJiieAuBF8rEgwodL0nbkZ6iHdtKlFrL93bAv4HPSZokabGkFyQV57/W8vzr/PlTSWtLGiyp0AztgqI0dmZeNs2fpcexot/vEtXKY9l4+UbSPHreb2N3NAb4DDAduL+1SJKagbuBjYEvAocAGwL3SOpfgXT2Vl1ZPicAN3VqanuXTi8bSRdIehH4E/DpDt7MshV1dtmcCPwjIh5bnUTVrc7KBsBQUqGWmkZq6tUjSFoHOAu4MyLG5+ChwEtlok/Ln0OAObR9DArbKXzOiPxctI14XUZSA6kvxnkR8Wwr0Wot32vn6Vzg26T+dAcAF0uqi4iLqLE8R8TTknYEbgCOycEtwFER8fuiNHRmXgqfpdus2Pe7jGrlsbV4hbBqHIta8/eIWBNA0uHAbq3EO4LUvO69hRYQkiaQ+tp+BfhJBdLaG3VJ+Ug6I8c/sovS3Rt0etlExNeBr0vaA/ixpG0jYlEX5qFWdVrZSNoM+DSwwoBGK8tPloz81OAmUj+rw6qcnK52MtBE6pzeW/QBBgJfiYgrIuLuiDga+CtwqiRVN3mdT9KGpDt8E4FPALuSmiFeKumgaqbNrDOsxJ3rHtlUvKfrivKRdDqwF7BnmafF1kFd+b8TEX8l3VxcYSRZa18nl81HSc1Vn5f0Eqlf5uWSjlvZdLmytPqmU/4JUmt3dLsVSU2kfikbALtHxKtFi9vKW2F5R+JNK4o3uMzFeWm8LpHbsp5GGvWpMTfNGpwXF+b7UmP5Bt7On3eUhN8OrAm8i9rL8w9IT5L2johbI+KuiPgaaQTIi3I75s7OS+EYlW6zUnkup1p5bC1eIawax6K3qqWm4rWoQ+WTnyh9Atgt9ye1rtdu2UhqKu6DK2kbUv9N9//rWu2WTUT8IiLeFRGjImIUabTnIyPi4pXdmStLq28iy9rnF9sEeKbCaVkpkuqB64GxpOGBnyqJ0lbe/hMRc4rijc5tSEvjLWJZP4iJQCPwnjLxoOuP1wZAP1Kn8+lFE6ThkqeT7gbVWr4ntrN8KbWX582BJyOipST8EdKJbCSdn5fCcS49jpXKcznVymPZeLmjbjPd/LexxnSoqbikMyW9ShrE40pJr0pat0Jp7M3aLR9JmwJnkn677pP0T0njy6xjnasj/ztNwP9KelrSP4HzSH2Wuv3N8h6uol1gXFlafTcDW0vaoBCQLwi2zcu6pXxn/RpgZ9JQiuPKRLsZWEfSDkXrrUG6u1Wct1tII1wdUBSvDvgscHtEFEYg+Svpbn9pM6iDSSPTTV6tTLXvn6T3vZROkCpQO5EuHmst3zfkz91LwvcAXo2IN6i9PL8BbJn7qBXbivSun2l0fl4eIg2fXS7eNFLzgEqrSh4j4j+k98GUi9cC/GXVs2RdISLOjIh1I6IxIobnv19tf03rahExMSIUEWMiYss8ja12ugwiYlpEbBMRm+Vy2TYi7q52umxFEbFjRNy4Kut6gIfVdwVwHHBTbk8cwPeBV0gDCXRXl5AuoM4B5kraumjZq/kkeTPp4uhqSd8k1eJPJb3A9MeFyBHxhKTrgAvz06rJwNGk900dVBRviqSfkPrJzAYeJ1207Uxqf9ql8vCe95aG55ZHL0fEvXm+pvJNemnpPcBlkoaTmgccQOo4WeijVmt5vhj4I3CLpJ+ThhDfh/RerQtyx9tOzUtEtEj6DvBzSf8F7sxxvgR8tSs6+0raP//5ofy5p6SpwNSIuK+zy2sl8/ht4FZJlwHXkt4/cjpwUa6gW2X06KbivYDLp/ty2XRflS2b6AYvjOrpE7AeqTP5LGA2cCMlL4fsbhNp5LNoZTqzKN5Q0gsnp5GG/L0L2KLM9ppII8O8Qbpz/zCwY5l4fUkXTC+ThiqeAOxf5WOx3EtpazHfwBqkCvKbpOZXE4ADazzPe5Iqx1Pz/+U/SSPj9e3KvJBG4nkux3seOKaLv7vlpnu7Qx6BT5GeMC0E/kN6KW3f1c23pxWOc9mXEudldwMPlAm/l5KXBnty+fS2yWXTfafuVDbKGzczM7MeKA+xewUwOiJeKll2AqkfxUaRXzqbm4o/D5wSEedXNLG9kMun+3LZdF/dqWxcWTIzM+uBipph7gIcRXpy+k4zzBynP+np3nzSk8NCU/GBwPtj2eAt1slcPt2Xy6b76o5l48qSmZlZDySptRP4fRGxY1G89YALgI+R+iHeBZxQerfWOpfLp/ty2XRf3bFsXFkyMzMzMzMrw0OHm5mZmZmZleHKkpmZmZmZWRmuLJmZmZmZmZXhypLZSpB0qKSQNKbaaWmPpLUl3SJpek7zcRXa786SzqzEvszMzMy6kitLZrXrTGA74FBgG+CPFdrvzsAZFdqXmZmZWZepq3YCzGx5khojYmEnbOp9wBMRcVMnbKuqOvGYmJmZmXWYnyxZtyfpzNyMbENJ/ydpjqSXJX1XUp8cp9A8blS5dUvCQtLZkr6RtzMvb3dknv4gaaakVyR9q5VkrS3pxpyWtyVdIqmpZD/Nkn4kabKkRfnztEKac5wdc3o+JekKSVOBN9s5Hsppf07SQkmvSfqZpAF5+Zic5+2AnfL2Q9K6rWzvVEkLJA0us+xZSX8qml9H0tWS3srrPCnpwKLlZwOnFR3nkLS4aPkASedKeikfkxclnSJJRXF2zevtJ+lXkt4C/puXbZyP+5S8///k8vJvmZmZmXU6X2BYT3IDcDewH3Aj8D3gi6u4rUNIzcWOAY4DPgr8Nu9jAvBp4Dbgh5L2KrP+1cALwKdIL0U7AvhFYaGkOuBvwOHARcCewJXAd4Bzy2zvZ6SXqh1CajbXlh8B5wF/BT6R//4ScGuuNLxCanY3EXg0/70NMKWV7V0DNACfKQ6UtBWwEem4IGkgcB+wG3Aq8EngGeAaSV/Kq10K/Dr/Xdjvtnn9euB24DDSMdsTuIpUjj8sk65LgMXAQcCXc9htwFrA0cDuwClAC+nYmZl1CfdX7dB+u2V/VUlb5Zui7yoKe1XSldVMV1eSdHhbN0nbWK9Z0puSPtVVaeuRIsKTp249kfreBHBYSfhTwO3570NznFHl1i0JC+A5oK4o7Cc5/PSisDpSBeOqorDCfi4t2eZpwBJgozx/SI63fZl4i4CReX7HHO+GDh6LEXn9K0vCC+naqyhsHHBnB7d7D3B/SdjFwFtAfZ4/Ie9ju5J49wKvA33y/NmlxzyHH5bX/0hJ+BnAQmBYnt81x/tjSby1SvPoyZMnT5WYin5jx1Q7LR1I6+XAdGBfYGtgzQrtt+xvf7Un4O/AhSVhr5aeR2tpIt2oDWDdVVj3m8CzxddIvX3ykyXrSf6vZP5pYL1V3NYdEbG4aP7f+fNvhYC8/AXg3WXW/0PJ/O9JT2o/nOf3AF4GHpRUV5hIT1bqSSewYjcUz+SmdnVFU9+8aJu8/tUl618LLAV2KJvbZdutK0lPwW+BbSWNzvHqgc8C10VES46zPfByRDxQstmrSRWZ97a1b9IxmQQ8UuaYNABblcS/oWR+CumY/jjfNev2d3jNzDpKUmMnbeqd/qoRMS4i2mza3Z2t7jHJLSQ+SlHLD2vXr4DRwD7VTkh34cqS9STTSuYXAv1WcVvTS+YXtRFebh+lJ5/C/Dr5cySwPqmJWPH0SF4+rGT910vmdylZrzC4wdByg5pZywAACiRJREFU8SMNfjC9aPkKcuViufQUPaL/E7AAODjP7wkMJzfBK9p3aToB3ihJW2tGAu8pTQPwYF7e5jGJiKWk4/IEqSni85ImSTqynf2aWQ+jDvRVzfHcX9X9VdtyOPB4RDzbTjwkbS3pLklzc/neIWlsmXgn5u/PfEnjlJr5tdusT9Iaki7O36+FSs3d7pC0UVGcOknflvSvHGeqpL8U4khqknSRpIk5na9LullSezcrC9s/StKEfAyn5u/ecuUfEW8Dd+ZjZ3g0PKsdC/JnQ0l46QV4Z1mT1CeoeB7yDzvwNjCZkn5ARV4qmY+S+YeB/1dmeaHCuBbpMTkAkhqAIaxYoSz2Ssk2IZ+cI2KWpJtIlaXv58/nI+LhorjTgA+U2e5aJWlrzdukJ3Wfb2X55JL50mNCREwCDsknyC2ArwGXSZocEXe0s38z63luIPVtvIDUR/N7pN+yq1Zxe4eQWiUcQ/rdvpB0U2gg8BdSE7YDSP1Vn4qI20rWv5rUsuDnpJYE3wX6k/uaall/1U1Iv6VPkVoSfId0Q+kbJdv7Wd7vIbR/8+9HpCZSPwNuBTbL+9hc0s4s6696JTCP9PsIbfdXPYd0nrq8EKhl/VVPzvOF/qprkPqrvgp8gdRftV9E/IrUX3Udlr2qAvJvuJb1V90op/dp4COkshwClFZMLyG1JDmo6JjclvNxNKl5+DrAx2m/v+ruwJ/biYOkD5CalD/Fsr7QpwJ/l/ThiHg6xzsKOB+4gnSTcQxwHenYtOciUguL00jnwmGkp16DiuJcn/N1AamPdj9Sc/21SN0HmvJ0FulG5TDgWOAhSRtHRGtljaTzgONJ3/mTgHVJ5b+ppO3yDcmCvwNnSGqIiEUrbq2XqXY7QE+e2ptY1mepriT818BL+e9tcpxPFS2vI1UoomS9AM4uCTuUMu3RST+eD5SJ11qfpQ2L4rUAG7eTtx3z9nbt4LEo9Fn6RUn4F/N29iwK63CfpRx/z7yN3YD5wHdKlh+fl29VEn43y/dZ+k6O11QS73DSE7IN20lHoc/Sjh1I89Ac9+vV/p568uSp8yY60Fc1zxd+k0eVW78kzP1VV9xuzfZXJVWoVvgO5WXL9VkiDRo1DVijKGwwMAP4Q57vC7wG3Fyyrc/k/bTZB4rU3P/HbSzfLW/nmJXIY19SZX0e8NWi8OX6LJFadSwBvl2y/g453t4l4bvn8A+vzDGv1cnN8KxWPErqD3OupP0lfQK4BeisNuCl9spNCj4m6TTSj/5vI+L5vPwaUvOyu/Ij+10k7SnpOEm3S2pelZ1GxFTSXaGvSPqJpN0kfZ10J+4+ivpcrYLbSU+afkU6br8rWf4r0jG+UdKXc36uAXYCTotld6WeyZ8n5eYJH8rzvyWV0z2STig6Jl/NTRHaLCtJH8xNJL6Sm2vsTrqb2UI64ZtZ7enMvqrg/qq9qb/q2vlzagfibk+qBM0qBETEDNITvMKxXR94Fyu+4P0GUhm051Hgy7n54YfKNCHcjVSh+WVbG5H0OUmPSJpJGjF2DulpU1vlsBvpe3pNSRn8g1TR2r4kfuGYrY25smS1IZ/c9iU1Q/g1qfJwB8uGse5sB5OaFNxAalZxBalZRyE9LaQ7M1cAR5KaEFxDegL0IMv6SK2Kb5GaR+xN+iH/JqlJyt6x/GP0lRIRS0gn3nVIT9NeKlk+m3TSuAv4MelO3GbAQZGaYRTcBFxGagLyEKlJIZEe5X+MVOk6mnRMriYdywdIlZ62vEZq5ngScHNO60jg4xHxz1XJs5l1e53ZVxXcX7U39VctlF+bLzSXJFJzwNbyWMhfYejx5Zq65fN9e83QIV0jXEF61ch4YIqk87Wsz9sw4K1o4wXskj5JOvc9TWrSvhWpef002v6/GJk/X2LFcmhmxTKYnz+bMPdZsu4vIs4kNakoDT+0ZH4iqWlDqTNL4q3Qxjkifk2ZilVE7NhGvL+XT/E7cRfkfZ/ZRpx7Wcl3BEV6Rn5entqKV3oHsyPb/jrw9TaW/5dlJ9XW4iwGjspT6bL5pDb+321j/Tspc0wi4g1SO3kzswL3V3V/1db6q76dP4e0lbiICEnTWZafYmuxLH+FytTI4gj5aVx7FcbCDcdTgFOUBiQ5APgf0nf4NFLTx+GSGtuoMH0O+HdEFN5tiKR+pCaDbSkci12AWWWWv1UyP7SV8F7JlSUzMzPrqV7On5uR+iMVBlnYrYv29xlSP82Cz5GaYBUqF38lvdR8TkT8m5WUL6jHl1n0EOkpwOdITa4LPk9qJXRvG9tc2Mo2C34LfE7SbqRBNH5Qsvw+4JOStiqpRB1IevJSqLwthDRiW74xVlB4gfrMoqbqqyQ/ZXpC0jdI/bU2I7UiKedF0hPCDTqw6fuAvSX1j4i5AJIGkQZbuD3HeZlUYTqA5Zupf4qVbKmVW26cK+mQnAfyfk4ivWS+taHOm0lN74p9oQP7v51UCX13RPymA0kcnT/bHUWwN3BlyczMzHqq4v6qfUgX7MfQxf1VSRefH6Z8f9XDSP1VzweeJD31eg/pvTX7RcS8ld1pREyVdCGpL+h8UgVkU9LToEr0V/0qqb/q6aQm0QeT+qt+uZX+qrcDiyPiMVJl7FBSf9XzSIN0NJBGktuH1IS8raZnHwTOJfUXm0Qa1ODLtNNfNSIWSHqUZf3J2nIWqUJ6Zy5fkZ4CNZKOMRGxRNJZwC8kXUZqwrghqVn8bNrptyTpYdLIfE8Dc0nHb1NSs3Ui4g5JNwIXSVo/562B1GLmxoi4n1TuF+fj+BfSE8PjKP+0qPhYPJfX+YWk95Faxiwk9cvbjTRo1P1Fq2xF6qf2n7a221u4smRmZmY9UkQslrQvqZ/qr0lNpi4kPek5owt2eTCpn+rRpKcWV5CeBhTS05IHnzmF1F91NOnCeBJpsIrV7a86JW/3OFITqauAU1e3v6qka0mj3t1frr+qpB1I/YV+DAwgDYxxUET8b1HU4v6q3yNVHuoiYpGkj5GG4j4aGEUalOAFUt/Vlemvug6p2doEOtZf9TrgnDJPu0qPwROSdiINpf070lOYcaRRDZ8uineppP6k0WG/SKr4HUiqxMxsJy33k54MbkCq8L0IHB8RlxTF+Qzpu/MF4MS8zYdZ1j+seIj2Y/Kyj7PiQCjl8niypIl5va+RBpN4hdQPeVJJ9I+TBi8xQKn7g5mZmZlZ7VB64eorwBER0SUX/5K2Jj2VOjAiru2KfVSSpG1JTys3iogXq52e7sCVJTMzMzOrSZLOAPYDPhiredEr6T2kwYvuJzW925T0xGwesHke2KlHk3QL8HpEtDfaYK/hZnhmZmZmVqvOzZ9rsqw526qaD7yf1AxuMGnY9tuBU2qkotRMGgzk0mqnpTvxkyUzMzMzM7My/FJaMzMzMzOzMlxZMjMzMzMzK8OVJTMzMzMzszJcWTIzMzMzMyvDlSUzMzMzM7MyXFkyMzMzMzMr4/8Dl66pcfE/sy0AAAAASUVORK5CYII=\n", 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\n", 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "for var_pp in df8_QV['variance-of-pp'].unique():\n", + " WL_vs_num_voters(df8_QV[df8_QV['variance-of-pp'] == var_pp], \"QV wellfare loss vs n voters (variance-of-pp={})\".format(var_pp))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hidden": true + }, + "source": [ + "## Wellfare loss of QV vs variance of perceived pivotality" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "def plot_WL_vs_variance_of_pp(ldf, n_voters_list, title):\n", + " pdf = ldf[ldf['number-of-voters'].isin(n_voters_list)].copy()\n", + " pdf['n_voters'] = pdf['number-of-voters'].apply(lambda n: \"=\" + str(n))\n", + "\n", + " ax = sns.scatterplot(x=\"variance-of-pp\", y=\"wellfare-loss\",\n", + " hue=\"mpp-str\",\n", + " style=\"n_voters\",\n", + " legend='full',\n", + " data = pdf)\n", + " plt.title(title)\n", + " ax.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n", + " plt.show()\n", + " \n", + "plot_WL_vs_variance_of_pp(df8_QV, [11, 101, 501], \"WL vs variance of percieved pivotality\")\n", + "# 1001, 10001" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true + }, + "source": [ + "# WL - QV Right Direction Random Magnitude results" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "## QV-RDRM Normal Distribution" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hidden": true + }, + "source": [ + "### The Data" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0.27814285714285714" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df9 = pd.read_csv('2020.07.10 QV-right-direction-random-magnitude-normal-dist.csv')\n", + "df9['wellfare-loss'] = 1 - df9['mean payoff-sign-list']\n", + "df9['wellfare-loss'].mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0.2779999999999999" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "x = .87\n", + "1 - (.8 * x + .2 * (1-x))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hidden": true + }, + "source": [ + "### The graph\n", + "The reason that this is slightly worse than 1p1v is:\n", + "When the median and mean of the utilities have the same sign, 1p1v maximizes welfare. With a normal distribution, this is about .8 of the time. When they are oposite, 1p1v doesn't maximize welfare. So, 1p1v has WL of about .2 for normally distributed utilities. \n", + "\n", + "QV-RDRM acts like 1p1v but with noise. With a normal distribution, that noise is bad 80% of the time when the mean and medians are the same, because the noise either does nothing, or flips the outcome incorrectly. The noise is good the other 20% of the time. So on the whole QV-RDRM does worse than 1p1v on a normal distribution. " + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "No handles with labels found to put in legend.\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "mean wellfare loss: 0.27814285714285714\n" + ] + } + ], + "source": [ + "f, ax1 = plt.subplots(figsize=(4, 3))\n", + "sns.scatterplot(x=\"number-of-voters\",\n", + " y=\"wellfare-loss\",\n", + " data=df9,\n", + " ax=ax1)\n", + "\n", + "ax1.set(xscale=\"log\",ylim=(0,1))\n", + "ax1.set_xlabel(\"Number of Voters (log scale)\", fontsize=12)\n", + "ax1.set_ylabel('Prop8 WL', fontsize=12)\n", + "ax1.tick_params(labelsize=10)\n", + "\n", + "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n", + "# plt.savefig(\"figures/sQV_WL_vs_n_voters_prop8.png\", bbox_inches='tight', dpi=300)\n", + "plt.show()\n", + "print(\"mean wellfare loss: {}\".format(df9['wellfare-loss'].mean()))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hidden": true + }, + "source": [ + "## Prop 8 " + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hidden": true + }, + "source": [ + "### The Data" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0.28400000000000003" + ] + }, + "execution_count": 59, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df10 = pd.read_csv('2020.07.10 QV-right-direction-random-magnitude-prop8.csv')\n", + "df10['wellfare-loss'] = 1 - df10['mean payoff-sign-list']\n", + "df10['wellfare-loss'].min()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "No handles with labels found to put in legend.\n" + ] + }, + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "f, ax1 = plt.subplots(figsize=(4, 3))\n", + "sns.scatterplot(x=\"number-of-voters\",\n", + " y=\"wellfare-loss\",\n", + " data=df10,\n", + " ax=ax1)\n", + "\n", + "ax1.set(xscale=\"log\",ylim=(0,1))\n", + "ax1.set_xlabel(\"Number of Voters (log scale)\", fontsize=12)\n", + "ax1.set_ylabel('Prop8 WL', fontsize=12)\n", + "ax1.tick_params(labelsize=10)\n", + "\n", + "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n", + "# plt.savefig(\"figures/sQV_WL_vs_n_voters_prop8.png\", bbox_inches='tight', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "## 1p1v normal dist comparison" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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[run number]number-of-votersminority-fractionmajority-mean-utilitymajority-utility-stdevminority-mean-utilityminority-utility-stdevcalibrationmarginal-pivotalityvariance-of-pmp...payoff-include-votes-cost?voting-mechanism[step]mean payoff-sign-listmean payoff-liststandard-deviation payoff-listmean vote-sum-liststandard-deviation vote-sum-listmean mean-median-same-sign-listwellfare-loss
0251002101manual0.50...False1p1v10000.8079.25232510.720377-0.2586.9838540.8070.193
1111002101manual0.50...False1p1v10000.8224.4042944.8457240.0183.3756590.8220.178
23101002101manual0.50...False1p1v10000.77712.67415115.903170-0.0929.9040210.7770.223
34501002101manual0.50...False1p1v10000.79727.31019233.5968320.17221.4496270.7970.203
451001002101manual0.50...False1p1v10000.82243.34339847.7542281.07832.4284060.8220.178
565001002101manual0.50...False1p1v10000.78992.669346113.3528870.92271.4791380.7890.211
6710001002101manual0.50...False1p1v10000.811133.714622153.346359-0.64099.6962670.8110.189
\n", + "

7 rows × 21 columns

\n", + "
" + ], + "text/plain": [ + " [run number] number-of-voters minority-fraction majority-mean-utility \\\n", + "0 2 51 0 0 \n", + "1 1 11 0 0 \n", + "2 3 101 0 0 \n", + "3 4 501 0 0 \n", + "4 5 1001 0 0 \n", + "5 6 5001 0 0 \n", + "6 7 10001 0 0 \n", + "\n", + " majority-utility-stdev minority-mean-utility minority-utility-stdev \\\n", + "0 2 10 1 \n", + "1 2 10 1 \n", + "2 2 10 1 \n", + "3 2 10 1 \n", + "4 2 10 1 \n", + "5 2 10 1 \n", + "6 2 10 1 \n", + "\n", + " calibration marginal-pivotality variance-of-pmp ... \\\n", + "0 manual 0.5 0 ... \n", + "1 manual 0.5 0 ... \n", + "2 manual 0.5 0 ... \n", + "3 manual 0.5 0 ... \n", + "4 manual 0.5 0 ... \n", + "5 manual 0.5 0 ... \n", + "6 manual 0.5 0 ... \n", + "\n", + " payoff-include-votes-cost? voting-mechanism [step] mean payoff-sign-list \\\n", + "0 False 1p1v 1000 0.807 \n", + "1 False 1p1v 1000 0.822 \n", + "2 False 1p1v 1000 0.777 \n", + "3 False 1p1v 1000 0.797 \n", + "4 False 1p1v 1000 0.822 \n", + "5 False 1p1v 1000 0.789 \n", + "6 False 1p1v 1000 0.811 \n", + "\n", + " mean payoff-list standard-deviation payoff-list mean vote-sum-list \\\n", + "0 9.252325 10.720377 -0.258 \n", + "1 4.404294 4.845724 0.018 \n", + "2 12.674151 15.903170 -0.092 \n", + "3 27.310192 33.596832 0.172 \n", + "4 43.343398 47.754228 1.078 \n", + "5 92.669346 113.352887 0.922 \n", + "6 133.714622 153.346359 -0.640 \n", + "\n", + " standard-deviation vote-sum-list mean mean-median-same-sign-list \\\n", + "0 6.983854 0.807 \n", + "1 3.375659 0.822 \n", + "2 9.904021 0.777 \n", + "3 21.449627 0.797 \n", + "4 32.428406 0.822 \n", + "5 71.479138 0.789 \n", + "6 99.696267 0.811 \n", + "\n", + " wellfare-loss \n", + "0 0.193 \n", + "1 0.178 \n", + "2 0.223 \n", + "3 0.203 \n", + "4 0.178 \n", + "5 0.211 \n", + "6 0.189 \n", + "\n", + "[7 rows x 21 columns]" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df11 = pd.read_csv('2020.07.10 1p1v-normal-dist.csv')\n", + "df11['wellfare-loss'] = 1 - df11['mean payoff-sign-list']\n", + "df11" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "No handles with labels found to put in legend.\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "mean wellfare loss: 0.1964285714285714\n" + ] + } + ], + "source": [ + "f, ax1 = plt.subplots(figsize=(4, 3))\n", + "sns.scatterplot(x=\"number-of-voters\",\n", + " y=\"wellfare-loss\",\n", + " data=df11,\n", + " ax=ax1)\n", + "\n", + "ax1.set(xscale=\"log\",ylim=(0,1))\n", + "ax1.set_xlabel(\"Number of Voters (log scale)\", fontsize=12)\n", + "ax1.set_ylabel('Prop8 WL', fontsize=12)\n", + "ax1.tick_params(labelsize=10)\n", + "\n", + "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n", + "# plt.savefig(\"figures/sQV_WL_vs_n_voters_prop8.png\", bbox_inches='tight', dpi=300)\n", + "plt.show()\n", + "print(\"mean wellfare loss: {}\".format(df11['wellfare-loss'].mean()))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Vote vs Utility Graphs\n" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [], + "source": [ + "d1p1v = pd.read_csv('u-vs-v-1p1v.csv')\n", + "QV0 = pd.read_csv('u-vs-v-QV-no-variance.csv')\n", + "QV5 = pd.read_csv('u-vs-v-QV-variance=.050.csv')\n", + "QVrdrm = pd.read_csv('u-vs-v-QV-rdrm.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "mQV2 = pd.read_csv('u-vs-v-mQV-2-issues.csv')\n", + "mQV5 = pd.read_csv('u-vs-v-mQV-5-issues.csv')\n", + "mQV10 = pd.read_csv('u-vs-v-mQV-10-issues.csv')\n", + "\n", + "mQV2voters = pd.read_csv('u-vs-v-mQV-2-individuals.csv')\n", + "mQV2voters['high-u?'] = mQV2voters['color'] > 0\n", + "\n", + "f, axes = plt.subplots(1, 4, figsize=(12, 3), sharex=True)\n", + "\n", + "sns.scatterplot(x=\"u\", y=\"v\", data = mQV2, ax=axes[0])\n", + "sns.scatterplot(x=\"u\", y=\"v\", data = mQV5, ax=axes[1])\n", + "sns.scatterplot(x=\"u\", y=\"v\", data = mQV10, ax=axes[2])\n", + "sns.lineplot(x=\"u\", y=\"v\", hue='high-u?', marker='o', data = mQV2voters, ax=axes[3])\n", + "\n", + "for i in range(3):\n", + " axes[i].set_ylabel('')\n", + " axes[i].set_xlabel('utility')\n", + "axes[0].set_ylabel('votes')\n", + "\n", + "axes[0].set_title('a) mQV - 2 issues', fontsize=12)\n", + "axes[1].set_title('b) mQV - 5 issues', fontsize=12)\n", + "axes[2].set_title('c) mQV - 10 issues', fontsize=12)\n", + "axes[3].set_title('d) mQV - 2 voters', fontsize=12)\n", + "axes[3].get_legend().remove()\n", + "\n", + "plt.savefig('figures/mQV-u-vs-v.png', bbox_inches='tight', dpi=300)\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Beta Distribution" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import scipy.stats as stats\n", + "\n", + "dfb = pd.DataFrame(columns=['x', 'y', 'var'])\n", + "fig, ax = plt.subplots(figsize=(4, 3))\n", + "\n", + "# plt.plot([0.5, 0.5], [0, 4], '-')\n", + "\n", + "for var in [0.01, 0.05, 0.082]:\n", + " ave = 0.5\n", + " max_var = ave - ave ** 2\n", + "\n", + " a = ave ** 2 * ( (1 - ave) / var - 1 / ave)\n", + " b = a * (1 / ave - 1)\n", + "\n", + " x = np.arange(0, 1.01, 0.01)\n", + " y = stats.beta.pdf(x, a, b)\n", + " \n", + " sns.lineplot(x, y, ax=ax)\n", + "\n", + "plt.ylim(0, 4)\n", + "ax.set_ylabel('probability density function')\n", + "plt.savefig('figures/beta-dist.png', bbox_inches='tight', dpi=300)\n", + " \n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.3" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/data-analysis/analysis-for-css2020/Jacob -mQV vs 1p1v.ipynb b/data-analysis/analysis-for-css2020/Jacob -mQV vs 1p1v.ipynb new file mode 100644 index 0000000..a21b1b7 --- /dev/null +++ b/data-analysis/analysis-for-css2020/Jacob -mQV vs 1p1v.ipynb @@ -0,0 +1,1796 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "ToDo:\n", + "- Add 1p1v as benchmarks on QV graphs" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Imports + Loading Data & Helper Functions" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "\n", + "import matplotlib \n", + "font = {'size' : 12}\n", + "matplotlib.rc('font', **font)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "def to_array(string):\n", + " return np.array([float(el) for el in string.replace(\"[\", \"\").replace(\"]\",\"\").split(\" \")])\n", + "def WL_per_issue(payoffs):\n", + " return (payoffs < 0) * 1" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "def load_csv_to_dataframe(csv_path):\n", + " df = pd.read_csv(csv_path)\n", + "\n", + " cols_to_drop = ['vote-portion-strategic', 'proportion-of-strategic-voters', 'minority-power',\n", + " 'y-axis', 'x-axis', 'issue-num', 'poll-response-rate', '[step]']\n", + " df.drop(columns=cols_to_drop, inplace=True)\n", + "\n", + " df['total-payoff-per-issue'] = df['total-payoff-per-issue'].apply(to_array)\n", + " df['mean-utilities'] = df['mean-utilities'].apply(to_array)\n", + " df['median-utilities'] = df['median-utilities'].apply(to_array)\n", + " df['mean-median-same-sign-list'] = df['mean-median-same-sign-list'].apply(to_array)\n", + "\n", + "\n", + "\n", + " df['WL-per-issue'] = df['total-payoff-per-issue'].apply(WL_per_issue)\n", + " df['mean-WL'] = df['WL-per-issue'].apply(np.mean)\n", + " return df\n", + "\n", + "\n", + "def aggregate_by_num_voters_num_issues(ldf):\n", + " ladf = ldf.groupby(['number-of-voters', 'number-of-issues']).aggregate('mean').reset_index()\n", + " n_issues_dict = {2:'two', 4: 'four', 5:'five', 6: 'six', 8: 'eight', 10: 'ten'}\n", + " ladf['num_issues'] = ladf['number-of-issues'].apply(lambda x: n_issues_dict[x])\n", + " ladf['n-voters'] = ladf['number-of-voters'].apply(lambda n: \"=\" + str(n))\n", + " return ladf\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "# Helper functions\n", + "def plot_WL_vs_n_issues(ladf, \n", + " title, \n", + " hue='number-of-voters', \n", + " ylim=(0, 0.25), \n", + " WL_col = \"mean-WL\"):\n", + " \n", + " ax2 = sns.scatterplot(x=\"number-of-issues\", \n", + " y=WL_col,\n", + " hue=hue,\n", + " data = ladf,)\n", + "\n", + " ax2.set(ylim=ylim,\n", + " xlabel = \"number-of-issues\")\n", + "\n", + " plt.title(title)\n", + " plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n", + " plt.show()\n", + "\n", + "def plot_WL_vs_n_voters(ladf, title, \n", + " hue='number-of-issues', \n", + " ylim = (0, 0.25),\n", + " WL_col=\"mean-WL\"):\n", + " f, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 5))\n", + " sns.scatterplot(x=\"number-of-voters\", \n", + " y=WL_col,\n", + " data = ladf,\n", + " hue=hue,\n", + " ax=ax1)\n", + "\n", + " sns.scatterplot(x=\"number-of-voters\", \n", + " y=WL_col,\n", + " data = ladf,\n", + " hue=hue,\n", + " ax=ax2)\n", + " \n", + " ax1.legend_.remove()\n", + " ax2.set(xscale=\"log\", xlabel = \"number-of-voters (log scale)\")\n", + " ax1.set(ylim=ylim, xlim=(0, 10100))\n", + " ax2.set(ylim=ylim)\n", + " f.suptitle(title)\n", + " \n", + " \n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = load_csv_to_dataframe('2020.02.19-multi-issue-QV-non-strategic-voting.csv')\n", + "# checking that mean-WL is 0 whenever maximial-utility? is True and is >0 when maximal utility is false\n", + "all(df['maximal-utility?'].apply(lambda mu: not mu) == np.ceil(df['mean-WL']))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true + }, + "source": [ + "# Wellfare loss of QV and 1p1v in multi-issue voting -- all utilities from normal distrubution with $\\mu=0$" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "## Dataframe prep" + ] + }, + { + "cell_type": "code", + "execution_count": 397, + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [ + "df_normal = df[df['utility-distribution'] == \"Normal mean = 0\"] \n", + "dfn_qv = df_normal[df_normal['QV?'] == True]\n", + "dfn_1p1v = df_normal[df_normal['QV?'] == False]" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hidden": true + }, + "source": [ + "## 1p1v wellfare loss - all utilities from normal distrubution with $\\mu=0$\n", + "\n", + "As expected, wellfare loss doesn't depend on number of issues or number of voters for 1p1v with all utility distrubtions normal with $\\mu=0$" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "### Dataframe prep" + ] + }, + { + "cell_type": "code", + "execution_count": 407, + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [ + "adf_1p1v = dfn_1p1v.groupby(['number-of-voters', 'number-of-issues']).aggregate('mean').reset_index()\n", + "n_issues_dict = {2:'two', 4: 'four', 6: 'six', 8: 'eight', 10: 'ten'}\n", + "adf_1p1v['num_issues'] = adf_1p1v['number-of-issues'].apply(lambda x: n_issues_dict[x])" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "### 1p1v wellfare loss vs number of voters and issues" + ] + }, + { + "cell_type": "code", + "execution_count": 359, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_voters(adf_1p1v, '1p1v wellfare loss vs n_voters - All normal $\\mu=0$', hue='num_issues')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hidden": true + }, + "source": [ + "## QV wellfare loss - all utilities from normal distrubution with $\\mu=0$" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hidden": true + }, + "source": [ + "### Dataframe prep" + ] + }, + { + "cell_type": "code", + "execution_count": 448, + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [ + "## Prepare aggregate data frame\n", + "adf_qv = dfn_qv.groupby(['number-of-voters', 'number-of-issues']).aggregate('mean').reset_index()\n", + "n_issues_dict = {2:'two', 4: 'four', 6: 'six', 8: 'eight', 10: 'ten'}\n", + "adf_qv['num_issues'] = adf_qv['number-of-issues'].apply(lambda x: n_issues_dict[x])\n", + "adf_qv['n-voters'] = adf_qv['number-of-voters'].apply(lambda n: \"=\" + str(n))\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "### QV wellfare loss vs number of voters\n", + "\n", + "Seems that in this case (all normal distrubtions), wellfare loss does not significantly decrease with number of voters, at least not up to 10k voters. " + ] + }, + { + "cell_type": "code", + "execution_count": 361, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_voters(adf_qv, 'QV wellfare loss vs n_voters - All normal $\\mu=0$', hue='num_issues')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hidden": true + }, + "source": [ + "### QV wellfare loss vs number of issues for plot\n", + "\n", + "Wellfare loss decreases slowly with the number of issues. It reaches about .07 with ten issues. " + ] + }, + { + "cell_type": "code", + "execution_count": 409, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0.20398952380952354" + ] + }, + "execution_count": 409, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 480, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# plot_WL_vs_n_issues(adf_qv, 'QV wellfare loss vs n issues, $\\mu=0$', hue='n-voters')\n", + "adf = dfn_qv.groupby(['number-of-issues']).aggregate('mean').reset_index()\n", + "f, ax = plt.subplots(figsize=(4, 3))\n", + "sns.scatterplot(x=\"number-of-issues\", \n", + " y=\"mean-WL\",\n", + "# hue='n-voters',\n", + " ax = ax,\n", + " data = adf)\n", + "\n", + "ax.set(ylim=(0, 0.25), \n", + " xlabel = \"Number of Issues\",\n", + " ylabel=\"normal dist. WL\")\n", + "\n", + "WL_1p1v = adf_1p1v['mean-WL'].mean()\n", + "plt.plot([2, 10], [WL_1p1v]*2, 'k--', linewidth=1)\n", + "\n", + "# plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n", + "plt.savefig('figures/mQV_WL_vs_n_issues_𝜇=0.png', bbox_inches='tight', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Wellfare loss of QV and 1p1v in multi-issue voting -- all utilities from normal distrubution with $\\mu=0$ except for one with Prop8 Calibration using uniform distributions" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Dataframe prep" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "df_prop8 = df[df['utility-distribution'] == \"Prop8 mean>0\"].copy()\n", + "df_prop8['Prop8-WL'] = df_prop8['WL-per-issue'].apply(lambda ar: ar[0])\n", + "df_prop8['all-but-pop8-WL'] = df_prop8['WL-per-issue'].apply(lambda ar: np.mean(ar[1:]))\n", + "df8_qv = df_prop8[df_prop8['QV?'] == True]\n", + "df8_1p1v = df_prop8[df_prop8['QV?'] == False]\n", + "\n", + "# 1p1v dataframes \n", + "adf_8_1p1v = df8_1p1v.groupby(['number-of-voters', 'number-of-issues']).aggregate('mean').reset_index()\n", + "n_issues_dict = {2:'two', 4: 'four', 5:'five', 6: 'six', 8: 'eight', 10: 'ten'}\n", + "adf_8_1p1v['num_issues'] = adf_8_1p1v['number-of-issues'].apply(lambda x: n_issues_dict[x])\n", + "adf_8_1p1v['n-voters'] = adf_8_1p1v['number-of-voters'].apply(lambda n: \"=\" + str(n))\n", + "\n", + "# QV dataframe prep\n", + "adf_8_qv = df8_qv.groupby(['number-of-voters', 'number-of-issues']).aggregate('mean').reset_index()\n", + "n_issues_dict = {2:'two', 4: 'four', 5: 'five', 6: 'six', 8: 'eight', 10: 'ten'}\n", + "adf_8_qv['num_issues'] = adf_8_qv['number-of-issues'].apply(lambda x: n_issues_dict[x])\n", + "adf_8_qv['n-voters'] = adf_8_qv['number-of-voters'].apply(lambda n: \"=\" + str(n))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## WL vs N voters for paper (both QV and 1p1v)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "adf_8_1p1v2 = df8_1p1v.groupby(['number-of-voters']).aggregate('mean').reset_index()\n", + "adf_8_1p1v2['num_issues'] = 'one/1p1v'\n", + "# plot_WL_vs_n_voters(adf_8_1p1v2, \n", + "# '1p1v wellfare loss vs n_voters - just prop8 issue', \n", + "# ylim=(0,1.1),\n", + "# hue='num_issues',\n", + "# WL_col = \"Prop8-WL\")\n", + "# plot_WL_vs_n_voters(adf_8_qv, \n", + "# 'QV wellfare loss vs n_voters - just prop8 issue', \n", + "# hue='num_issues',\n", + "# ylim=(0,1),\n", + "# WL_col = \"Prop8-WL\")\n", + "wl_nv_df = adf_8_qv.append(adf_8_1p1v2, sort=False)\n", + "wl_nv_df['QV?'] = wl_nv_df['QV?'].apply(lambda x: 2 if x ==0 else 1)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# plot_WL_vs_n_issues(adf_qv, 'QV wellfare loss vs n issues, $\\mu=0$', hue='n-voters')\n", + "\n", + "\n", + "f, ax = plt.subplots(figsize=(4, 3))\n", + "sns.scatterplot(x=\"number-of-voters\", \n", + " y=\"Prop8-WL\",\n", + " hue='num_issues',\n", + " style='QV?',\n", + " ax = ax,\n", + " data = wl_nv_df)\n", + "\n", + "ax.set(ylim=(0, 1), \n", + " xscale='log',\n", + " xlabel = \"Number of Voters\",\n", + " ylabel=\"Prop8 WL\")\n", + "\n", + "\n", + "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n", + "plt.savefig('figures/mQV_WL_vs_voters_prop8.png', bbox_inches='tight', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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number-of-votersnumber-of-issues[run number]QV?maximal-utility?mean-WLProp8-WLall-but-pop8-WLnum_issuesn-voters
51110.019500.510.4710.07440.0680.075111ten=11
115110.039500.510.4360.07770.1190.073111ten=51
1710110.059500.510.4340.07850.1370.072000ten=101
2350110.079500.510.3950.08520.2140.070889ten=501
29100110.099500.510.3830.08730.2400.070333ten=1001
35500110.0119500.510.4360.07750.1260.072111ten=5001
411000110.0139500.510.4930.06560.0530.067000ten=10001
\n", + "
" + ], + "text/plain": [ + " number-of-voters number-of-issues [run number] QV? maximal-utility? \\\n", + "5 11 10.0 19500.5 1 0.471 \n", + "11 51 10.0 39500.5 1 0.436 \n", + "17 101 10.0 59500.5 1 0.434 \n", + "23 501 10.0 79500.5 1 0.395 \n", + "29 1001 10.0 99500.5 1 0.383 \n", + "35 5001 10.0 119500.5 1 0.436 \n", + "41 10001 10.0 139500.5 1 0.493 \n", + "\n", + " mean-WL Prop8-WL all-but-pop8-WL num_issues n-voters \n", + "5 0.0744 0.068 0.075111 ten =11 \n", + "11 0.0777 0.119 0.073111 ten =51 \n", + "17 0.0785 0.137 0.072000 ten =101 \n", + "23 0.0852 0.214 0.070889 ten =501 \n", + "29 0.0873 0.240 0.070333 ten =1001 \n", + "35 0.0775 0.126 0.072111 ten =5001 \n", + "41 0.0656 0.053 0.067000 ten =10001 " + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wl_nv_df[wl_nv_df['num_issues']=='ten']" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1p1v wellfare loss" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 1p1v wellfare loss vs number of voters" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true + }, + "source": [ + "#### Avg WL of all issues" + ] + }, + { + "cell_type": "code", + "execution_count": 374, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# adf_8_1p1v[adf_8_1p1v['number-of-issues'].isin([10])]\n", + "plot_WL_vs_n_voters(adf_8_1p1v, \n", + " '1p1v wellfare loss vs n_voters - just prop8 issue', \n", + " hue='num_issues',\n", + " ylim=(0,1.1),\n", + " WL_col = \"Prop8-WL\")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true + }, + "source": [ + "#### WL of all isues but Prop8 Issue" + ] + }, + { + "cell_type": "code", + "execution_count": 376, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_voters(adf_8_1p1v, \n", + " '1p1v wellfare loss vs n_voters - all but prop8 issue', \n", + " hue='num_issues',\n", + " ylim=(0,1.1),\n", + " WL_col = \"all-but-pop8-WL\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 1p1v wellfare loss vs number of issues" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true + }, + "source": [ + "#### Avg of all issues" + ] + }, + { + "cell_type": "code", + "execution_count": 377, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_issues(adf_8_1p1v, \n", + " '1p1v avg. wellfare loss vs n issues, 1 Prop8 and rest $\\mu=0$', \n", + " hue='n-voters',\n", + " ylim=(0, 0.7))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true + }, + "source": [ + "#### Just Prop8 issue and all but " + ] + }, + { + "cell_type": "code", + "execution_count": 378, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "### all but prop8 issue\n", + "plot_WL_vs_n_issues(adf_8_1p1v, \n", + " '1p1v wellfare loss vs n_issues - all but prop8 issue', \n", + " hue='n-voters',\n", + " ylim=(0,1.1),\n", + " WL_col = \"all-but-pop8-WL\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## QV Wellfare loss" + ] + }, + { + "cell_type": "code", + "execution_count": 380, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### WL vs Number of Voters" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true + }, + "source": [ + "#### Avg WL of all issues" + ] + }, + { + "cell_type": "code", + "execution_count": 381, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_voters(adf_8_qv, \n", + " 'QV avg. wellfare loss vs n_voters - 1 prop8 calibration and rest normal $\\mu=0$', \n", + " hue='num_issues',\n", + " ylim=(0,1))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### WL of Just Prop8 and all but. \n", + "\n", + "This shows a surprising behvaior for issues above 6: WL increases with number of voters up to around 1000 voters and then decreases again. Why?" + ] + }, + { + "cell_type": "code", + "execution_count": 382, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_voters(adf_8_qv, \n", + " 'QV wellfare loss vs n_voters - just prop8 issue', \n", + " hue='num_issues',\n", + " ylim=(0,1),\n", + " WL_col = \"Prop8-WL\")" + ] + }, + { + "cell_type": "code", + "execution_count": 385, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_voters(adf_8_qv, \n", + " '1p1v wellfare loss vs n_issues - all but prop8 issue', \n", + " hue='num_issues',\n", + " ylim=(0,0.25),\n", + " WL_col = \"all-but-pop8-WL\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Wellfare vs number of issues" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true + }, + "source": [ + "#### Avg of all issues" + ] + }, + { + "cell_type": "code", + "execution_count": 386, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_issues(adf_8_qv, \n", + " 'QV avg. wellfare loss vs n issues, 1 Prop8 and rest $\\mu=0$', \n", + " hue='n-voters',\n", + " ylim=(0, 0.7))\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Just Prop8 issue and all but (plot for figure)" + ] + }, + { + "cell_type": "code", + "execution_count": 478, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# plot_WL_vs_n_issues(adf_8_qv, \n", + "# 'QV avg. wellfare loss vs n issues, just Prop8', \n", + "# hue='n-voters',\n", + "# ylim=(0, 1.1),\n", + "# WL_col = \"Prop8-WL\")\n", + "\n", + "# plot_WL_vs_n_issues(adf_qv, 'QV wellfare loss vs n issues, $\\mu=0$', hue='n-voters')\n", + "\n", + "\n", + "f, ax = plt.subplots(figsize=(4, 3))\n", + "sns.lineplot(x=\"number-of-issues\", \n", + " y=\"Prop8-WL\",\n", + " hue='n-voters',\n", + " style='QV?',\n", + " markers=True,\n", + " ax = ax,\n", + " data = adf_8_qv[adf_8_qv['number-of-voters'].isin([11, 101, 1001, 10001])])\n", + "\n", + "ax.set(ylim=(0, 1), \n", + " xlabel = \"Number of issues\",\n", + " ylabel=\"Prop8 Wellfare Loss\")\n", + "\n", + "\n", + "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n", + "plt.savefig('figures/mQV_WL_vs_n_issues_prop8.png', bbox_inches='tight', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 389, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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j4M2IRqVUNzDGfGqMGW6ChlgqpTpHd97p/wGrTbYf1hCe10Sk3Bw67l2wOpl9ijXz1NsissUY83xQnm8bY97lGGWsDl8d7q2vlDr6GGO6rIe8MWYeVr8bpQC6p01frDm39wNjjDHr7LRngUpjzB1tbPuoHefN9nIF8L1judBXSimlukJ33ekPx5q2Mnjym3Ks8b8tEhHBGsrzx5BV88WaJWwF1tS55S1sfwP22F+Xy3XiyJEjDzN8pZTqfZYvX77HGHPYs3EGfPLJJ5Ojo6PvNcYcR+8aKt7dfMCHXq/3f0488cSwzWPdVegnYg0FCVaNNS65NfdhfUD+HJR2BdbDIwRr1q+3RGSkMaYqdGNjzJPYs+gVFxebsrKywwpeKaV6IxHZdKT7+OSTTybHxcU9lpOT40lISNjvcDh675CxLub3+2XTpk1nVFVVfR/4Xbg83XXFVYc1OUqwZKwJIsISkR9ite1fYIxpCqQba/atBmOM2x7OU8Whk4MopZTqAaKjo+/NycnxuFyuBi3wu5bD4TBZWVl1UVFR17SYp5tiWQdE2zN8BeRjTSN5CBG5DuvxoWcZY7a2sW+DThWplFI9kjHmuISEhLZmM1WdJDY2ttkY0+IMkN1S6Btratm/AT8XEZeInI41I92zoXlF5Aqs6WDPDh1GZ0+BerqIxIpIvD2cLwNrRiyllFI9j0Pv8LuP1RWu5bK9OztU/ABretldWHOSf98Ys1pEviHWozcDfgH0AZYFjcWfY69LAp7AGglQiTXt5nnGmL3ddhZKKaXUUarbxukb6yEzhzxBzFgPPEkMWh7Syj5W08mPVFVKKaV6Cx06oZRSSnWhH//4x1kXXXRRize03UkLfaWUUqoHa24Ofer74dNCXymlVK+VnZ19wj333NNv+PDho5OSkgouuOCCoW63+5ARYXfddddx55577tDgtGuvvXbgNddcMxCgoqIiZuLEibkpKSkFgwYNGvPwww9nALz00kvJv//974977bXX0pxOZ+GIESNGA+zduzfqO9/5zuDMzMyxffv2HfujH/0oy+v1AvDoo4/2KSoqGnn99dcPTE1NLbjtttuyVq1aFXfSSSeNSEpKKkhLS8u/4IILhnIYevVT9pRSSqm///3v6W+//fb6hIQE/6mnnjrysccey/jpT3+6OzjP1VdfvW/27Nn99+/f70hLS/N7vV4WLVqU9vzzz28EmDp16tCRI0c2LFq0qHzlypXxF1xwwfBhw4Y1TZ06teajjz7asXHjxrhXX331q8D+vvvd7+ZkZmZ6N27cuKq2ttZx7rnnDnvkkUc8t99++x6ATz/91DVlypR9u3fvXtnU1CSXX355zsSJE6s//vjjtU1NTfLBBx+4Dudc9U5fKaVUr/b9739/Z05OTnO/fv1855xzTvXKlSsTQvMMHz7cM3r0aPf8+fPTAP75z38mx8fH+88666z6DRs2xKxYsSLx97///Van02lOO+20hunTp+955pln+oQ73pYtW6KXLFmS8uSTT25OTk72Z2dne3/4wx/ufOmll9IDeTIzMz133XXXrpiYGBITE010dLTZvHlzXEVFRYzT6TSTJ0+uC7fvtmihr5RSqlfLyso60GjudDr99fX1UePHjx/mdDoLnU5n4RNPPJEOMG3atH0LFy5MB5g/f376pZdeug9g8+bNscnJyd60tDR/YD+DBw/2bN++PSbc8TZs2BDr9Xqlf//++UlJSQVJSUkFt9122+C9e/ceyN+/f/+DGvJ/97vfbTXGcOqpp47Kzc3N++1vfxv2gqItWr2vlFJKhSgtLV0fmjZjxoz9991338CNGzfGvPXWW6lLliz5AmDQoEGempqa6EDVP1gXAoGCW0QOmpxo6NChzbGxsWbfvn0rY2LCXhccss2gQYO8zz///CaAt956K/HCCy8cPmnSpLoxY8Y0hd1BC/ROXymllGqHrKws77hx42qvuuqqnAEDBniKiooaAXJzc5sLCgrqbrnllgFut1v++9//Jjz33HMZV1111V6Afv36ebdu3Rrr8/kAGDx4cPPpp59efcMNNwzct2+fw+fzsXr16rjXXnstsaVjP/3002kbN26MAejTp49XRDicmQ610FdKKaXa6bLLLtv7n//8J3nq1KkHzQS7cOHCL7ds2RLbv3///KlTpx5fUlKy7eKLL64FmDFjxj6AtLS0gtGjR4+y81d4PB4ZNWrUmNTU1IKpU6ceX1lZGf62H1i6dKnr1FNPHeV0OgsvueSS3F/84hebR48eHfbxua0RY3rHlMj6aF2llOoYEVlujCk+kn2Ul5dX5Ofn7+msmFTbysvLM/Lz83PCrdM7faWUUqqX0EJfKaWU6iW00FdKKaV6CS30lVJKqV5CC32llFKql9BCXymllOoltNBXSimlegkt9JVSSqleQgt9pZRSqpfQQl8ppZRqxcyZMzPHjBkzKjY2tmjKlCk5wesaGxvl3HPPHZqdnX2CiJy4aNGipAiF2S5a6CullFKtyM7Obi4pKdk+bdq0sNMJn3baaXVPP/30VxkZGc3h1vck+mhdpZRSPdJfP96U/ui/1mfvrm2KzUyK8/zorGGVV54yeF93x3H11VdXASxbtsxZWVkZG7wuPj7e3HPPPbsAHI6efx+thb5SSqke568fb0p/YNGawU1evwNgV21T7AOL1gwG6MyCf8KECbllZWVhH2lbXFxct3jx4g2ddayeQAt9pZRSPc6j/1qfHSjwA5q8fsej/1qf3ZmF/rFWqLel59dFKKWU6nV21zbFdiRdtY/e6SullOpxMpPiPLvCFPCZSXGezjzO+PHjh7VWvV9aWrq+M48XaVroK6WU6nF+dNawyuA2fYC4aIf/R2cNq+zM47SnUG9ubqa5uVl8Pp/4fD5xu90SExNjYmJiAGhoaBBjDAAej0fcbrfEx8ebntixTwt9pZRSPU6g3b4n9N4vKSnJeuSRR/oHll0uV/qtt966ffbs2dsAcnNzx2zbti0WYMqUKcMAvvjii89GjBjRqbUSneHA1cmxrri42JSVlUU6DKWUOmqIyHJjTPGR7KO8vLwiPz8/7Ph21TXKy8sz8vPzc8Kt63l1D0oppZTqElroK6WUUr2EFvpKKaVUL6GFvlJKKdVLaKGvlFJK9RLdVuiLSLqI/F1E6kVkk4hMbyHf7SKySkRqReQrEbk9ZH2OiCwWEbeIfCEik7rnDJRSSqmjW3fe6f8B8AD9gCuAJ0QkL0w+AWYAacC5wA9F5LtB658DVgB9gLuAl0QksysDV0oppY4F3VLoi4gLmALcbYypM8Z8CPwDuCo0rzHm18aYT4wxXmPMWuBV4HR7P8OBIuBeY0yDMeZl4DN730oppZRqRXfd6Q8HvMaYdUFp5UC4O/0DRESAbwCr7aQ84EtjTG179iMiN4hImYiU7d69+7CDV0oppY4F3VXoJwI1IWnVQFIb292HFeOfg/ZT3d79GGOeNMYUG2OKMzO1BUAppVTHjRs3bkRcXFyR0+ksdDqdhTk5OWMC6zZt2hQzceLE3L59+44VkRPXrl3bo58C2F2Ffh2QHJKWDNSGyQuAiPwQq23/AmNM0+HuRymllDpSDz744Ga3273C7XavqKioWBVIdzgc5pxzzqlesGDBxkjG117d9cCddUC0iAwzxgSeaJTP19X2BxGR64A7gPHGmK1Bq1YDQ0UkKaiKPx9Y0EVxK6WUipRlT6Wz5FfZ1O2KJbGvhzNLKjnp+m5/4E5rBg4c6L3jjjt2Nzc3RzqUdumWO31jTD3wN+DnIuISkdOBi4BnQ/OKyBXATOBsY8yXIftZB6wE7hWReBG5BBgLvNzV56CUUqobLXsqnbd+Npi6nbFgoG5nLG/9bDDLnkrvzMNMmDAhNykpqSDca8KECbmBfA888EB2WlpaflFR0chFixa11TTdY3Xno3V/ADwN7AL2At83xqwWkW8AbxhjEu18v8AajrfM6scHwF+NMTfav38XmAfsBzYDU40x2ktPKaWOJUt+lY236eAbU2+TgyW/yu7Mu/3FixdvaCvPrFmzthYWFjbEx8ebuXPnpl922WW5S5cuXZOXl9fU1rY9TbcV+saYfcDFYdI/wOqgF1ge0sZ+KoBvdnJ4SimlepK6XeE7xLWU3oUmTpxYH/j95ptv3rtw4cL0V155JSUvL29Xd8dypLrzTl8ppZRqn8S+HqtqP0x6Jxo/fvywsrKyxHDriouL60pLS9eHposIxpjODKPbaKGvlFKq5zmzpJK3fjb4oCr+6Dg/Z5ZUduZhwhXqwfbs2RO1ZMkS13nnnVcbExNj5s6dm75s2bLExx57bHMgj9vtFq/XKwCNjY3idrvF6XT2yKsCLfSVUkr1PIF2+wj33vd4PHLvvfdmz5gxI97hcJihQ4c2LliwYOPYsWMPtOe7XK6iwO8FBQVjAIwxy7szzvbSQl8ppVTPdNL1+yI9RC8rK8u7atWqz1vL01ML+HD00bpKKaVUL6GFvlJKKdVLaKGvlFJK9RJa6CullFK9hBb6SimlVC+hhb5SSinVS2ihr5RSSvUSWugrpZRSvcQRF/oiohcOSiml1FHgiApsEYkDmjspFqWUUqrHmTlzZuaYMWNGxcbGFk2ZMiUndP2rr76aNGTIkLyEhITCk08+efi6desOPCho7ty5aYWFhSMTEhIKx40bN6JbAw+jM+7Spe0sSiml1NEpOzu7uaSkZPu0adP2hK7bvn179JVXXnn83XffvW3v3r0rCwoK3NOmTRsaWJ+RkeG96aabdt500007ujfq8Dpj7v0e+SQhpZRSR7cX1r6QPqd8Tvbehr2xfRL6eG7Mv7HyshGXdftc/FdffXUVwLJly5yVlZUHPe53/vz5qbm5uY3XXXfdfoCHHnpoW9++fQtWrFgRX1hY2HjxxRfXAsyePTuju+MORx+4o5RSqsd5Ye0L6b9e9uvBHp/HAbCnYU/sr5f9ejBAZxb8EyZMyC0rK0sMt664uLhu8eLFG1rbfvXq1QmjR492B5aTk5P9AwcObCovL48vLCxs7Kw4O0ubhb6IfEDLd/PaiU8ppVSnm1M+JztQ4Ad4fB7HnPI52Z1Z6LdVqLelvr7ekZGR4Q1OS0pK8tXU1EQdWWRdoz13+nPbWP+nzghEKaWUCtjbsDe2I+mR4nK5/KEFfF1dnSM5OdkXqZha055C/1ljjL/LI1FKKaVsfRL6ePY07DmkgO+T0MfTmccZP378sNaq90tLS9e3tn1eXl7DggULDrTX19TUOLZs2RKXn5/f46r2oX3V81Ui8qaI3Ckip4tITJdH1QMYY/DVevBsraV5txtfvY5MVEqp7nJj/o2VsVGxB91wxkbF+m/Mv7GyM49TWlq63u12rwj3ChT4zc3NuN1u8fl84vP5xO12S3OzVSZMnz69av369fHz5s1LdbvdUlJS0n/48OENgfZ8r9eL2+0Wr9crfr8ft9stTU1NERv11p47/fOAb9ivnwIxIrIUKLVfHxljGrouxMjwVTWx64ly/DXWRWX8mD6kXTKMKFevuOZRSqmICrTb94Te+yUlJVmPPPJI/8Cyy+VKv/XWW7fPnj17W1ZWlvfZZ5/deOuttw668cYbh44dO7Z+4cKFXwbyPv74431uueWWnKBtiy699NK9L7/8ckX3noVFjGn/iDsRESAfGI91EfBNIMkYE98l0XWi4uJiU1ZW1q68fo+Pqn9sxF2286D0zJvyiRuY3BXhKaVUjyMiy40xxUeyj/Ly8or8/PxDxrerrlNeXp6Rn5+fE25dR3vfpwADgUHAYDvtX4cfWs9kvH68uw+tvPDt7ZFNNEoppVS7tGfI3jSsO/vxQBrwb+BD4C/AZ6YjVQVHCUd8NM4T++HZVPN1YpQQm6N3+UoppY5e7WnTfwH4HPgV8IIxpqlrQ4o8cQgJeX3wNzRT/98dOJzRpH77eBxObc9XSil19GpPoX8G1l3+ZcCvRWQ98IH9+rcxpqa1jY9WUa4Yks7IxlXUDxwQ5epRQ0OVUkqpDmuzTd8Y85ExZpYx5gKgP3AzsAO4FlgnIiu6OMaIMH6Du66ZnTvc7K/y0FDbqUNDlVJKqW7X0bn3Ax35BgI5QB+gR846dKRq9zXy4qwyGuussZiDRqcuFijHAAAgAElEQVQz6drRJCTpHb9SSqmjU5t3+iIyTUR+LyLlwB7gd0Bf4I/AaGNMdhfH2O2am3wsXfTVgQIfYPOafVSH6dGvlFJKHS3ac6f/ANYkPA8BpcaYzV0bUuT5vH5q9hw6PK92XyPHDU2JQERKKaXUkWuz0DfGjOyOQHqSOGc0o047ju0bqg6kRUU76KcFvlJKqaPYYT0aV0SOyR77weJzEim6ZCjpWS6yhqcy4aYxNEUdc1MSKKWUasO4ceNGxMXFFTmdzkKn01mYk5MzJnj9nDlz0rOysk5ISEgonDRp0vE7d+488NS9mTNnZo4ZM2ZUbGxs0ZQpU3K6PfgQh1XoAx1+WICIpIvI30WkXkQ2icj0FvJNEJHFIlItIhVh1leISIOI1Nmvtw8j/lZVNzRT8o9V/HnHHuLP7k9VYQo3vbGajyv2d/ahlFJKHQUefPDBzYEH8VRUVKwKpJeVlcXfdtttg5966qmvduzYUZ6QkOC//vrrAzPWkp2d3VxSUrJ92rRpPWIq4o723j8SfwA8QD+gAHhNRMqNMatD8tUDTwPPAXe2sK9vG2Pe7apA46KjGNzHxYvLt/L251/Pvz8gLaGrDqmUUirEvueeT9/7+OPZ3j17YqMzMjx9fvCDyvTLv9vtD9xpzbx58/pMnDix6rzzzqsDmDVr1raCgoK8/fv3O9LS0vxXX311FcCyZcuclZWVER/+dbh3+qM7kllEXMAU4G5jTJ0x5kPgH8BVoXmNMUuNMc8CX4au6y4JsVHcMmkYmYlxB9LOHt2XQenOSIWklFK9yr7nnk/fNWvWYO/u3bEYg3f37thds2YN3vfc8+mdeZwJEybkJiUlFYR7TZgwITeQ74EHHshOS0vLLyoqGrlo0aKkQPrnn38eP3bs2ANDu/Ly8ppiYmLMqlWreuSD6Np1p28/Xa+vMSZw29ssIpcCq4wx69qxi+GANyRvOXBmh6L92nwRcQArgNuNMeUtxH0DcAPAoEGDOnSA7NQEXr/lG1RWNZAYF026K5Z0nZVPKaW6xd7HH882TU0H3ZiapibH3scfz+7Mu/3FixdvaCvPrFmzthYWFjbEx8ebuXPnpl922WW5S5cuXZOXl9fkdrujUlJSDpqvJjEx0VddXR3V0v4iqT3j9E8HdgLbRGS5iJwIrATuBj5pqW0+RCIQ2vmvGkgKk7ctV2BNDDQYWAy8JSKp4TIaY540xhQbY4ozMzM7dBARITMpjoKBqeT2TdQCXymlupF3z56w/3RbSu9KEydOrE9LS/MnJCSYm2++eW9RUVHdK6+8kgLgdDp9NTU1B5Wl9fX1h1wI9BTtqd5/BLgHq4CeB7wBXG2MKQQuAe5qxz7qgNBH1CUDte2O1GaM+bcxpsEY4zbGPAhUAd/o6H6UUkr1XNEZGWHnPm8p/XCNHz9+WKBXfuhr/Pjxw8JtIyIEHjA7atSoxk8//fRA2++aNWtiPR6PjBkzpkc+i709hf5wY8wcY4wbqzNeqjHmLQBjzDvAgHbsYx0QLSLBb2A+ENqJ73AYDmM0QbvU74H9m6BmGzQe86MUlVKqx+jzgx9USlycPzhN4uL8fX7wg8rOPE5paen6QK/80Fdpaen6PXv2RL388svJbrdbmpubeeKJJ9KXLVuWeOGFF1YDXHPNNXvfe++91DfffDOxpqbG8bOf/Sx78uTJVWlpaX6A5uZm3G63+Hw+8fl8EthPpLSnTX+fiBQYY1YCxQAicrwxZqOIDMG6026VMaZeRP4G/FxEvofVe/8i4LTQvHZbfSwQYy1KPOA3xnhEZBDWvP/LsC5YbgYygH+34zw6pnYHvHAVpGRD/S4YeAqcejM40zr9UEoppQ4WaLePdO99j8cj9957b/aMGTPiHQ6HGTp0aOOCBQs2jh07tgmguLi48Te/+c2ma6+9dkhVVVX0aaedVrNgwYKKwPYlJSVZjzzySP/AssvlSr/11lu3z549e1t3nkeABKooWswgcjPwILAKiAL+BlwDLAIuAJ43xtzX5oFE0rGG4p0N7AXuMMYsEJFvAG8YYxLtfN/EaqsPtsQY800RycMaync80IjVt6DEGFPW1vGLi4tNWVmb2SzeJnzrFuPOyKdyzWqcKan06d8XV7QHMnLb3l4ppY4BIrLcGFN8JPsoLy+vyM/P7xFj1HuL8vLyjPz8/Jxw69ozDe/vReS/WJ3n3jDG1IrIbqzq+ZnGmL+0JwhjzD7g4jDpH2B19Assv08L1fX2mP6x7TneEWlupCppJPN/cjPNTVazzHFDh3PRj3/6daBKKaXUUaZdQ/aMMUuBpUHLc7ssoh6gqVn46MXnDhT4ADu+XMe+bdtIzDwugpEppZRSh69Dk/OIyHUi8o6IrLZ/Xm+P4T+m+H1e3LWHdtxrqG6z+4JSSinVY7W70BeRXwMlWG36t9s/fwL8qmtCixxJclI46byD0mITEug/akwLWyillFI9X0fm3r8GKDLGbA0kiMgi4BPgp50cV0T5jI+EIf359i0/ZeW7b+JMSubUqZezz1FLMn0jHZ5SSil1WDpSvV/LoZPp1HLoTHtHPVeMi8YEeNHxASOvvIiUb53ELzf+jiRn2In/lFJKqaNCRwr93wJ/E5GzRWSUiJwDvAg8IiJDA6+uCbP7DUoaxLVjrmW150uaYg13nXwXfRL6RDospZRS6rB1pHr/d/bPCSHpZwGP2r8brLH8R7246DiyErO4fOTlkQ5FKaWU6hTtLvSNMYf7GF6llFJK9QAdLshFZJCInCoiA7siIKWUUqonmTlzZuaYMWNGxcbGFk2ZMiUndP2rr76aNGTIkLyEhITCk08+efi6desOPAmwoaFBpk2blpOYmFiYkZGRf9999/ULrGtsbJRzzz13aHZ29gkicuKiRYsO58mzHdKRIXv9RWQJsAFruN5GESkVkawui04ppZSKsOzs7OaSkpLt06ZNO2Q64e3bt0dfeeWVx999993b9u7du7KgoMA9bdq0A/3bfvKTn2R9+eWXcV999dWnb7/99trHHnvsuJdeeunAU2dPO+20uqeffvqrjIyMbnkKT0fa9J8AyoHz7QfouICZwBzgwq4ITimlVO/12ZKt6WWvV2S7qz2xzpRYT/H5OZUnnDmgWx+4A3D11VdXASxbtsxZWVkZG7xu/vz5qbm5uY3XXXfdfoCHHnpoW9++fQtWrFgRX1hY2Pjiiy/2mTNnTkVmZqYvMzPTd8UVV+yeN29extSpU2vi4+PNPffcswvA4eieFvSOFPpnAP2NMc1w4Ml5PwU69TGHSiml1GdLtqb/+8UNg31evwPAXe2J/feLGwYDdGbBP2HChNyysrKwj1UpLi6uW7x48YbWtl+9enXC6NGj3YHl5ORk/8CBA5vKy8vjBwwY0Lx79+6Yk0466cD6goKChjfeeCNi4787UujvB0Zj3e0HjKAdj9ZVSimlOqLs9YrsQIEf4PP6HWWvV2R3ZqHfVqHelvr6ekdGRoY3OC0pKclXU1MTVV1d7QDo06ePL7AuNTXVV19fH7FRbh0p9H8NvCsiTwGbgMHAtcDdXRGYUkqp3std7YntSHqkuFwuf01NzUGFeF1dnSM5OdmXkpLiB9i/f3+U0+n0AlRXVztcLpcv3L66Q7sbEYwxfwIuAzKAb9s/pxtjnuyi2NRRxu/zUl+1n/rqKowxkQ5HKXUUc6bEejqSfrjGjx8/zOl0FoZ7jR8/flhb2+fl5TWsWbPGGViuqalxbNmyJS4/P7/RbsdvXrp06YH1K1eudA4fPrwx/N66Xkfu9DHGvAe810WxqKNYQ20Naz5YzPLXXiEmLp4zr7qe7JGjiUtwtr2xUkqFKD4/pzK4TR8gKtrhLz4/p1P7kZWWlq5vK09zczPNzc3i8/nE5/OJ2+2WmJgYExMTw/Tp06vuv//+AfPmzUv9zne+U11SUtJ/+PDhDYWFhY0AU6dO3Ttz5sz+Z5xxRv3WrVtj5s+fn/HEE09UBPbd0NAggZskj8cjbrdb4uPjTVd17OvIkL1YEfm5iKwXkXr75wMiEt8lkamjytbPV/P+M3+ids9u9lVu4e+/up/6/fsjHZZS6ih1wpkD9p0+LXdT4M7emRLrOX1a7qZI9N4vKSnJcrlcRY8//vhxr776arrL5SoqKSnJAsjKyvI+++yzG++///7s9PT0wuXLlycuXLjwy8C2Dz/88LacnJymIUOGjJ00adKIm266aefUqVMPPLMmNzd3jMvlKtq1a1fMlClThrlcrqL169d3WROGtLca1m7LHwH8kq/b9O8E1htjruuqADtLcXGxKSsri3QYx6TmxkZee/TXbFy+9KD0b874HidecHGEolJKHSkRWW6MKT6SfZSXl1fk5+cfMr5ddZ3y8vKM/Pz8nHDrOlK9fzFwvDEm0Ft/jYj8F2uynh5f6KuuExUTQ8agnEMK/T4DB0coIqWUUuF0pNFgBxDaQJsAbO+8cNTRyBEVRcHkb5HWP/tAWk7BifQdPCSCUSmllArVkTv9Z4E3ReT3wFZgIHAT8BcRmRjIZHf2U71MYlo6l903i4baGqKiY4h3uUhITol0WEoppYJ0pND/X/vnnSHpN9ovsB6tOxTVK7livLhcfnB4ITpiw1CVUkq1oCOP1tW6WtWyup3wzr34UkaBr4Go5n1w5k/BlRHpyJRSStkOayCgiFze2YGoo5jfi2/rWmrjJ7PlqWVUvrCRxr4X4t+/LdKRKaWUCtKhyXmC/BF4rjMDUUcxn4fGXR623vp1y89X//0vx//jJXrUfJlKKdXLHe6UP9KpUaijmt8r7F/46sGJzc3UffhxZAJSSikV1uHe6X/QqVGoo1t0NNFZ/YkbNoyks8/F39hAzaJ/EHNc/0hHppRSKkhHpuGdFvjdGHN+UPrUzg5KHV0cMTGk3/B9jnvgMSTlTKKyz2Pg088Td+IRTeSllFI9wrhx40bExcUVBR7Ek5OTMyZ4/Zw5c9KzsrJOSEhIKJw0adLxO3fuPPDUvZ07d0adffbZxyckJBRmZWWdMGfOnPTAuk2bNsVMnDgxt2/fvmNF5MS1a9d2eYtoR6r3n2ohXZ+y18sZY/DU+tn3/CYaP99H42d72fvMlxht0VdKHSMefPDBzW63e4Xb7V5RUVGxKpBeVlYWf9tttw1+6qmnvtqxY0d5QkKC//rrrz8wHen3vve9QbGxsWbHjh3lf/7zn7+6/fbbB5WVlcUDOBwOc84551QvWLBgY3edR5vV+yISGHfvEJEhHNyePxSI2CMCVc/gaWqi6d+7DkozzX7qPt9N3OmuCEWllDrarXzn9fSPX3ouu75qf6wrNc1zytTLKwvOPr/bH7jTmnnz5vWZOHFi1XnnnVcHMGvWrG0FBQV5+/fvd0RFRfHmm2+mLV++fHVKSop/8uTJdWeddVb1008/3ae4uLhy4MCB3jvuuGN3c3Nzt8Xbnjv9DcB6rCl4N9rLgddfgPu6Kjh1dIiOigbXoR+lGFdcBKJRSh0LVr7zevr7z/xpcH3V/liA+qr9se8/86fBK995Pb2tbTtiwoQJuUlJSQXhXhMmTMgN5HvggQey09LS8ouKikYuWrQoKZD++eefx48dO7YhsJyXl9cUExNjVq1aFf/ZZ5/FRUdHm7FjxzYF1o8dO9b9xRdfJHTmOXREm3f6xhgHgIgsMcac2fUhqaONREWROH4AjSv3YpqsmfiiMxKIHZIa4ciUUkerj196LtvX3HzQ3YSvudnx8UvPZXfm3f7ixYs3tJVn1qxZWwsLCxvi4+PN3Llz0y+77LLcpUuXrsnLy2tyu91RKSkpB01BmpiY6Kuuro6Kjo42LpfLH7wuJSXFV1dXF0WEtLtNXwt81ZKGZh9zV1aSfHM+SdNySblyBNFXjeAf63ZHOjQA6qv2s2fTl+zbuhl3TXWkw1FKtUPgDr+96V1p4sSJ9Wlpaf6EhARz88037y0qKqp75ZVXUgCcTqevpqbmoLK0vr4+KiUlxZeUlOSrr68/aF1NTU1UYmJixOYpb/eQPRH5AGtu/UMYY8Z3WkTqqJMQE0WKK46C2UvIy0qmsdnHup11/PPmMyIdGvX79rLwF//HvsotAAwYlce3/l8JrtROrSFUSnUyV2qaJ1wB70pN83TmccaPHz+srKwsMdy64uLiutLS0vWh6SKCMVZxOGrUqMZPP/30wBNo16xZE+vxeGTMmDGNUVFReL1e+eyzz+JOOOGEJoBPP/00YeTIkQ2h++wuHem9PxerB3/g9RpwHPBuezYWkXQR+buI1IvIJhGZ3kK+CSKyWESqRaQizPoce71bRL4QkUkdOAfVBRwO4bwxx3FRfhart9WwZV8DJeeOYGBaxJqtADB+P58tefdAgQ+w9fPVVK5dE8GolFLtccrUyyujYmIOqhqPionxnzL18srOPE5paen6QK/80Fdpaen6PXv2RL388svJbrdbmpubeeKJJ9KXLVuWeOGFF1YDXHPNNXvfe++91DfffDOxpqbG8bOf/Sx78uTJVWlpaf7k5GT/5MmTq+68886smpoax9tvv+169913U6+77rq9geO73W5paGhwADQ2Norb7e7Sye868sCdZ0LTRORl4M/Az9uxiz8AHqAfUAC8JiLlxpjVIfnqgaexpvkNfaIfdvp/gPPt10siMswY0zPqknupPolx3H9RHneePwoEXHHRJMRErNkKAG+zhz2bNx2SvmtzBcNPjnwtBIDHZ920xEbp8EalggXa7SPde9/j8ci9996bPWPGjHiHw2GGDh3auGDBgo2BznnFxcWNv/nNbzZde+21Q6qqqqJPO+20mgULFlQEtn/qqac2XXHFFTn9+vXLT01N9T700EObi4uLD4x6c7lcRYHfCwoKxgAYY5Z31flIoIrisDYWSQB2GGNafXC6iLiA/cAYY8w6O+1ZoNIYc0cL20wC5hpjcoLShgOfARnGmFo77QNgvjFmTmsxFBcXm7Kysnafm+oYv8+Pu7aZ7RuqiImLou/gJJzJke2939jcSOWqVaz/6EPyTpmI3+dl5ZLXOeU70+k3OLJPgG7wNlDdUIPY/ZQkBlISkomL1hEPqucQkeXGmCOaZau8vLwiPz9/T2fFpNpWXl6ekZ+fnxNuXUfa9K8LSXIClwLtmWB9OOANFPiBuICOdg7MA74MFPhB+8kLl1lEbgBuABg0aFAHD6U6oq6qiRd+sQxPgxeA1H5OLvlxIc6UyBVicVFx9B8wkj6jMnC/sYPoKAcTJ10H8WGb77qVt95Hcp2TxqU7wCEkjDuOJn8zcRF8v5RSx76OzL1/VchyPfAR8Eg7tk0EakLSqoGkMHnb2k9o9+tqIDtcZmPMk9gzBhYXFx9+lYZqlc/rZ8Xbmw8U+ABVO91s21BF7on9IhaX32fwbnVT9/bXbfrVL28k7X/HRiwmsGYwjG0Udj++EnzWx7KhbCcZtxRGNC6l1LGvI236E47gOHVAckhaMlAbJm937Ed1IuM3NNQe2qG2oa77ZpkKRwSaP997SHrzhioY0mqLVJcyxuD+744DBT5YMxg2rtxF3KSciMWllDr2dejRuiIyTETuEpE/2D+HtXPTdUB0SP58ILQTX1tWA0NFJLiG4HD2ozpRdGwU+Wcd3HwSFeMg54SMCEVkEYcQM+DQqvzY7MhW7wuA49CKJyNaGaWU6lodecredGAFMBarav8E4JOWht4FM8bUA38Dfi4iLhE5HbgIeDbMcRwiEg/EWIsSLyKx9n7WASuBe+30S+x4Xm7veaiukZ7l5JLbihg8pg+5xX257K6TcCbFRDQmcQiuwn7EBBXycSPSiBvU0ValTiZCXFEfJO7r0Q2SEE3cmLQIBqWU6g060qb/C+B8Y0xpIEFEvoFVcC9ox/Y/wBqKtwvYC3zfGLPa3scbxpjAf+bxwOKg7RqAJcA37eXvAvOwRgNsBqbqcL3Ii0uIIWtYKhkDExERYuIiO1wvICoploxr8zCNPnAIEhdFlCvCFyMi+GJ8JF47hOa1tSAQMzwJX3TEJulSSvUSHSn0k7DGxwf7GGjXY9SMMfuAi8Okf4DVQS+w/D4HP8kvNH8FX18AqB4mNr4jH6nuIdEGY+rAL0hcz3gegPc/H+Eflsv2qE0IQlbjYMzazTB5cqRDU0odwzrSpj8bmGlXvQfG6P/STleqR/Lu38+ePz3JxnPP5ctvfZvql17GVx3Z+feNMTR+soI9V84g7Z9vkvrq6+y6/Ao8X6yNaFxKqWNfq7dlIrKFr+fbF6xpd28Rkf1Amp22HXiwK4NU6nC5ly1j7x8eDyyx4777iD9hDAkpkeu9LyKkTJ9O1cKF1L71tpUYHU3SRRdFLCalVO/Q1p3+lVjj86+yf58EnA18x/45iUPH7yvVI/g9Hmpef+OQ9LrFi8Pk7l7/qY8hed5fcZ19Nq7J55Ly7HMsq+0Z/SCUUgebOXNm5pgxY0bFxsYWTZkyJSd0/auvvpo0ZMiQvISEhMKTTz55+Lp16w7Mq93Q0CDTpk3LSUxMLMzIyMi/7777+rV327lz56YVFhaOTEhIKBw3btyIzjiXVgt9Y8yS9rw6IxClOpvExJBQVHRIekJ+fgSi+ZoxhtIt9UxfUsVL51zPwrOuYdpbu/hkpzuicSmlwsvOzm4uKSnZPm3atEOmE96+fXv0lVdeefzdd9+9be/evSsLCgrc06ZNOzDP909+8pOsL7/8Mu6rr7769O2331772GOPHffSSy8lt2fbjIwM70033bTzpptu2tFZ53JYva5EpMYYEzpJjlI9ioiQcsH51L7zNg3LrOcuJJ9/PvF5YWdt7ta4ZpwymPkfb+LRf28FIC7awaVFAyIal1I9Td3H29Jr/rUl21/riXUkxXqSzxpYmXhKVrc+cAfg6quvrgJYtmyZs7Ky8qCnY82fPz81Nze38brrrtsP8NBDD23r27dvwYoVK+ILCwsbX3zxxT5z5sypyMzM9GVmZvquuOKK3fPmzcuYOnVqTVvbXnzxxbUAs2fP7rRJTw63q3WXPvpPqc4S3acPAx59FH99PeJwIE4n0amR78GflRrP67d8gz8u2Ui0Q/jfM4+nX5LOu9+a3e7dlO8ux+v3UtSviD7xfYhyaJPIsaru423pVYu+GozX7wDw13piqxZ9NRigMwv+CRMm5JaVlYWdsau4uLhu8eLFG1rbfvXq1QmjR48+UE2XnJzsHzhwYFN5eXn8gAEDmnfv3h1z0kknHVhfUFDQ8MYbb6S2tW1hYWEjXaDnja9SqpNFp6VBWs+a+CYhNprh/ZJ48NITACE2ukOTY/Y6+xr24WqM4wx/McZvkKYYqqiij7NPpENTXaTmX1uyAwX+AV6/o+ZfW7I7s9Bvq1BvS319vSMjI8MbnJaUlOSrqamJqq6udgD06dPnwCQcqampvvr6+qi2tj2SmFpzuIX+6E6NQqleKjZa71TbI7EpgX3PrMFr93uISo0j48YT8Cf4cYheMB2L/LWe2I6kR4rL5fKHFtJ1dXWO5ORkX0pKih9g//79UU6n0wtQXV3tcLlcvra27ap4W/22iMjQcC8gJmRZKaW6TNO6fQcKfABfVRP1S3dg/Pq8gmOVIyn20Kd4tZJ+uMaPHz/M6XQWhnuNHz++zefL5OXlNaxZs8YZWK6pqXFs2bIlLj8/v9Fux29eunTpgfUrV650Dh8+vLGtbTvzHIO1dYm8AVhv/2zptb6rglNKKQDv3kP/B/qqmsDnj0A0qjsknzWwkmjHwX/gaIc/+ayBlZ15nNLS0vVut3tFuFdpael6gObmZtxut/h8PvH5fOJ2u6W52XqK6PTp06vWr18fP2/evFS32y0lJSX9hw8f3hBok586deremTNn9t+9e3fUihUr4ufPn59xzTXX7GnPtl6vF7fbLV6vV/x+P263W5qamo6oT11bQ/Ycxpgo+2dLL62fVEp1qYT8zEO6D8cXZRIVG9nnKKiuk3hK1r7Ubw3ZFLizdyTFelK/NWRTJHrvl5SUZLlcrqLHH3/8uFdffTXd5XIVlZSUZAFkZWV5n3322Y33339/dnp6euHy5csTFy5c+GVg24cffnhbTk5O05AhQ8ZOmjRpxE033bRz6tSpNe3Z9vHHH+9jH2vQ8uXLE10uV9H06dMHH8m5iDG9o3qsuLjYlJWVRToMpdRhaNy7D+8eL+73t4PXEH96X+IGuYhLTQKHtumHU9/kpbbRi98YnLFRpDo73hQuIsuNMcVHEkd5eXlFfn7+IePbVdcpLy/PyM/Pzwm3rq1peD/g62l4W2SMGX94oSmlVNvi1zyDJ/sUoqfmAYI0VBD3n9/CeTPp2CNEeof9bg9Pf/gVL3+ylSiHcHxmIr+Zlk9Gog4L7e3a6r0/t1uiUEqpVnhHfofGjz5i95yfYzzN9Ln6u0RNvploh446Dmd7VQMTBzr43uj+iN9HFYmUrt3JRQUDiIrSi6TerNVvjDHmmeBlEekHjAMy0Al6lFLdxLOnhsqSew4s75j5MFHHjyK538AIRtVzZcc3IbGJVKz6jMa6WoafdAqThjhwN/tI0kK/V2v3ZbKIXAw8i9VjPw9YDYwBPgSe7pLolFIKqHrjrUPSav/+Cq6TxmlnvjAE4YX7/o+a3TsB+M8LC7jiwUdIT9LRDr1dRy75fgFcZ4wpBOrtnzcAy7skMqWUssUMH35ImmPESIjSwUPhbF+79kCBD+D1NLH0lZdobu7UIe7t5fP7/Voz3E3s97rFq7uOFPqDjDEvhqQ9A8w4nMCUUqq9kk4eR/xJX3cijxsxgrSLLtT26RY0Nx46r0FzYwP+yIzW+nDTpk2pTU1NMb1ltFik+P1+2b17dwqwqqU8HekFs0tE+hljdgIVInIqsAfQS22lVJeKz8yg38OP4K+pwfh8RKelEt83M9Jh9VhZI06g+PxLGTXuTKKio6lY/QmZw0biMN0/g63X6/2fqqqq79fW1l5jjElHh1t0JT+wys+YQE8AAA9RSURBVOv1fq+lDB0p9P8EnAG8DDwCLLYP8PCRRKiUUu3h7JsBfTvtCaPHtLiYRApzJlH73BY8zX4Gjx2Jq+8gYhK6v9A/8cQTPcDv7JeKsHYX+saYXwX9/hcReR9wGWM+74rAlFJKHZ5oj2H/G5sOLDeW7yF2YBLxpzlb2Ur1BoddzWKM2awFvlJK9TyeTTWHpDWt3Y/xdNnD29RRQttWlFLqGBM3KOnQtONTkRjtgtXbaaGvlFLHmKj0eJImDoQoa6Rc/Mg0XMX9kCgdOdfb6RyWSil1jIlyxpB05gBcJ/cHY5DYKKKcOomR0kJfKaWOSY64aBxx+i9eHUyr95VSSqleQgt9pZRSqpfQQl8ppZTqJbTQV0oppXoJLfSVUkqpXkILfaWUUqqX0EJfKaWU6iW6rdAXkXQR+buI1IvIJhGZ3kI+EZFfiche+/UrEZGg9cbeR539mttd56CUUkodzbpz5oY/AB6gH1AAvCYi5caY1SH5bgAuBvIBA7wDfAXMCcqTb4zZ0PUhK6WUUseObrnTFxEXMAW42xhTZ4z5EPgHcFWY7FcDDxtjthpjKoGHgWu6I06llFLqWNZd1fvDAa8xZl1QWjmQFyZvnr2utXylIrJDRP4mIjktHVREbhCRMhEp27179+FFrpRSSh0juqvQTwRCH/BcDRz6/Ecrb3VIvsSgdv0zgRxgJLANWCQiYZspjDFPGmOKjTHFmZmZRxC+UkopdfTrrkK/DkgOSUsGatuRNxmoM8YYAGNMqTHGY4ypAm4BhgCjOj9kpZRS6tjSXYX+OiBaRIYFpeUDoZ34sNPy25EvwAD6kGillFKqDd1S6Btj6oG/AT8XEZeInA5cBDwbJvtfgB+LSLaIZAG3AfMARCRPRApEJEpEErE6+VUCn3fHeSillFJHs+6cnOcHQAKwC3gO+L4xZrWIfENE6oLy/RH4J/AZsAp4zU4Da7jfC1j9A77Eatv/ljGmuVvOQCmllDqKid1UfswrLi42ZWVlkQ5DKaWOGiKy3BhTHOk4VOfRaXiVUkqpXkILfaWU+v/t3X+wXVV5xvHv04SCSYgQEqBBBZUfKkwIU1GmrYUBKYJoqel0QiOFjhbFokOBDpQGB2OoZVoRFRFRJGDEghYEqThOi04JrT+iQjqpEIHEJoQIwSQkQEIMT/9Y69KT25PLvTE5+9zs5zOzJ+fsvdba7zn33rz7rL3OWhEtkaQfERHREkn6ERERLZGkHxER0RJJ+hERES2RpB8REdESSfoREREtkaQfERHREkn6ERERLZGkHxER0RJJ+hERES2RpB8REdESSfoREREtkaQfERHREkn6ERERLZGkHxER0RJJ+hERES2RpB8REdESSfoREREtkaQfERHREkn6ERERLZGkHxER0RJJ+hERES2RpB8REdESSfoREREtkaQfERHREkn6ERERLZGkHxER0RJJ+hERES2RpB8REdESSfoREREtkaQfERHREkn6ERERLdGzpC9pkqTbJT0j6eeS/nQb5STpCklP1e0KSeo4Pl3SjyQ9W/+d3qvXEBERMZr18pP+Z4Dngf2AWcBnJR3epdzZwGnAkcA04B3A+wAk/SZwBzAf2Bu4Ebij7o+IiIgh9CTpSxoPzAAutb3B9gLgTuCMLsXPBD5ue4Xtx4CPA2fVY8cBY4GrbG+y/SlAwPE7+SVERESMemN7dJ5DgV/ZXtKx7wHg2C5lD6/HOssd3nFskW13HF9U939rcEOSzqb0HABskPTQ9oXPZGD1dtbdmRLXyCSukUlcI7MrxnXgjgwkmterpD8BeHrQvnXAntsou25QuQn1vv7gY0O1g+3rgOu2J+BOkhbafuOv286OlrhGJnGNTOIamcQVo0Gv7ulvACYO2jcRWD+MshOBDfXT/UjaiYiIiA69SvpLgLGSDunYdySwuEvZxfVYt3KLgWmdo/kpg/26tRMREREdepL0bT8D3AbMkTRe0u8Cfwh8qUvxm4DzJR0gaSpwATCvHvsusAX4kKTdJZ1b99+zM+NnB9wi2EkS18gkrpFJXCOTuKLvaesxcTvxRNIk4IvAicBTwMW2b5b0FuBu2xNqOQFXAO+tVb8AXDQweE/SUXXfG4CfAu+x/ZOevIiIiIhRrGdJPyIiIpqVaXgjIiJaIkk/IiKiJZL0t6EOFLy+rhOwXtL9kk5uOi4ASfMlPS7paUlLJL33pWv1jqRDJG2UNL/pWAAkfbfGs6Fu2ztJ0w4naaakn9Y1KR6pY1yajGfDoG2LpE83GdMASQdJ+qakNZJWSbpaUq/mGhkqrtdLukfSOkkPS/qjhuI4V9JCSZskzRt07ARJD9Y1S74jKZPutFSS/raNBZZTZg18OTAbuFXSQQ3GNOBjwEG2JwLvBOZK+u2GY+r0GeCHTQcxyLm2J9TtsKaDAZB0ImXQ6p9TJpj6feDRJmPqeI8mAPsDzwFfbTKmDtcATwC/BUyn/G1+oMmA6kXHHcBdwCTKDKDzJR3aQDgrgbmUAdMvkjSZ8u2pSykxLgRu6Xl00ReS9LfB9jO2L7O9zPYLtu8ClgKNJ1fbi21vGnhat9c2GNKLJM0E1gL/1nQso8BHgDm2v1d/xx6r6030ixmUJHtv04FUrwZutb3R9irK1NvdFu3qpdcBU4FP2N5i+x7gPrqvK7JT2b7N9tcp347q9C5gse2v2t4IXAYcKel1vY4xmpekP0yS9qOsIdAXEwFJukbSs8CDwOPANxsOCUkTgTnA+U3H0sXHJK2WdJ+k45oORtIY4I3AlNolvKJ2V7+s6dg6nAnc5P75is9VwExJ4yQdAJxMlzU3+oCAI5oOosNW65nUeVMeofkLpmhAkv4wSNoN+DJwo+0Hm44HwPYHKF3Cb6F03W0aukZPfBS43vaKpgMZ5CLgNcABlIlKviGp6Z6R/YDdgD+m/AynA0dRbiM1rt7zPZayfHW/+HdKonoaWEHppv56oxHBQ5TekL+WtJukP6C8b+OaDWsrI1qzJHZtSfovQdJvUGYOfB449yWK91TtTlwAvAI4p8lYJE0H3gp8osk4urH9fdvr63LMN1K6X09pOKzn6r+ftv247dXAlTQf14AzgAW2lzYdCLz4d/gtygXueMrKcXtTxkQ0xvZm4DTg7cAqygyit1IuSvpF1iyJFyXpD6HODng95VPZjPoH3o/G0vw9/eOAg4D/kbQKuBCYIenHTQa1DaZ0wTYXgL2Gkhg6u877pRsd4M/or0/5k4BXAVfXi7engBvog4sk24tsH2t7H9snUXqVftB0XB22Ws9E0njK/xd9casyeitJf2ifBV4PvMP2cy9VuBck7Vu/5jVB0hhJJwGn0/zAueso/5FMr9u1wL8AJzUZlKS9JJ0kaQ9JYyXNooyS74d7wTcAH6w/072Bv6KMAm+UpN+h3Arpl1H71J6QpcA59ee4F2XMwaJmIwNJ0+rv1zhJF1K+XTCvgTjGStoDGAOMGfidB24HjpA0ox7/MLCoX25VRm8l6W9Dvaf5PkoCW9XxveVZDYdmSlf+CmAN8I/AebbvbDQo+1nbqwY2SpfiRttPNhkX5b75XOBJYDXwQeA020sajar4KOWrjUso60j8BLi80YiKM4HbbPdb9++7gLdRfpYPA5spF0pNO4MymPYJ4ATgxI5v1/TSbMpto4uBd9fHs+vf4AzK79Ya4M3AzAbiiz6QufcjIiJaIp/0IyIiWiJJPyIioiWS9CMiIloiST8iIqIlkvQjIiJaIkk/IiKiJZL0I4YgaZmktzZ4/nMk/aLOEbFPl+PXSrq0idgiYvQZ23QAEdFdXejpSuAY2w90K2P7/b2NKiJGs3zSj+iBOh3qSO0H7EHmSI+IHSRJP0al2u1+oaRFktZJuqXONX6WpAWDylrSwfXxPEnXSLq7dpnfJ2l/SVdJWiPpQUlHDTrd0ZL+ux6/oc5fPtD2qZLul7RW0n9ImjYoxoskLQKe6Zb4Je1ez72yblfVfYdSlm0FWCvpnm28D/Mkza2PJ0u6q8byS0n31tXpqHE8Jmm9pIcknTC4fn1+nKQVHc+nSvpnSU9KWirpQx3H3iRpoaSn6y2IK4f+qUVE05L0YzT7E8pc7K8GpgFnjaDebMryrJuA/wR+XJ9/jdKl3mkWZeGg1wKH1rrUi4MvUtZo2Af4HHCnpN076p5OWXZ1L9u/6hLL3wLHUNZ4OBJ4E2W+9CWUteOpdY8fxuu6gLImwxRKL8ElgCUdRlkW+mjbe9bXsuylGqsXDN8AHqAswHMCcF5d5Angk8AnbU+kvDe3DiPGiGhQkn6MZp+yvdL2LynJafow691u+0e2N1JWINto+ybbW4BbgMGf9K+2vbye53JKIgc4G/ic7e/b3mL7RspFxDGDYlw+xCqNs4A5tp+oC6N8hLKAy/bYTFnh7UDbm23f67K4xhZgd+ANknazvcz2I8No72hgiu05tp+3/Sjwef5vsZbNwMGSJtveYPt72xl3RPRIkn6MZqs6Hj8LTBhmvV90PH6uy/PB7SzvePxzYGp9fCBwQe1OXytpLfDKjuNb1ZU0q2O1xrvr7qm1zW7tb0XSJR31r+1S5B8oq899W9Kjki4GsP0wcB5wGfCEpH+S1PUcgxwITB30+i6h9CIAvIfS8/GgpB9KOnUYbUZEg5L0Y1fzDDBu4Imk/XdAm6/sePwqYGV9vBy43PZeHds421/pKP/iMpa2v2x7Qt1OrrtXUpJrt/a3YvvvOur/v1H7ttfbvsD2a4B3AucP3Lu3fbPt36vnMnBFrbbV+wV0vl/LgaWDXt+etk+pbf7M9unAvrW9r0ka3y32iOgPSfqxq3kAOFzS9Drg7rId0OZfSnqFpEmUe/C31P2fB94v6c0qxkt6u6Q9R9D2V4DZkqZImgx8GJi/PUHWQYUHSxKwjtKt/4KkwyQdX8cabKT0ZrxQq90PnCJpUr1AOq+jyR8A6+sgwJdJGiPpCElH1/O9W9IU2y8Aa2udF4iIvpWkH7uUOgBuDvCvwM+ABUPXGJabgW8DjwKPAHPruRYCfwFcDayhdK2fNcK25wILgUXAf1EGFM4dssa2HUJ53RsogxOvsf0dyv38vwdWU26J7Av8Ta3zJcqF0jLKaxy4oKGOcTiVMlZiaa3/BeDltcjbgMWSNlAG9c0cYuxCRPQBlXE+ERERsavLJ/2IiIiWSNKPiIhoiST9iIiIlkjSj4iIaIkk/YiIiJZI0o+IiGiJJP2IiIiWSNKPiIhoif8F+ITjPGP4JpwAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_issues(adf_8_qv, \n", + " 'QV avg. wellfare loss vs n issues, all but prop8', \n", + " hue='n-voters',\n", + " ylim=(0, .25),\n", + " WL_col = \"all-but-pop8-WL\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Wellfare loss of QV and 1p1v in multi-issue voting -- all utilities from normal distrubution with $\\mu=0$ except for one with Prop8 Calibration using normal distrubitons" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Dataframe prep" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'df2' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mdf_prop8\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mload_csv_to_dataframe\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'2020.02.22-multi-issue-QV-non-strategic-voting-prop8-normal-dists.csv'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0;31m# checking that mean-WL is 0 whenever maximial-utility? is True and is >0 when maximal utility is false\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mall\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf_prop8\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'maximal-utility?'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m \u001b[0mmu\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mmu\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mceil\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf2\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'mean-WL'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;31mNameError\u001b[0m: name 'df2' is not defined" + ] + } + ], + "source": [ + "df_prop8 = load_csv_to_dataframe('2020.02.22-multi-issue-QV-non-strategic-voting-prop8-normal-dists.csv')\n", + "# checking that mean-WL is 0 whenever maximial-utility? is True and is >0 when maximal utility is false\n", + "all(df_prop8['maximal-utility?'].apply(lambda mu: not mu) == np.ceil(df2['mean-WL']))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "df_prop8['Prop8-WL'] = df_prop8['WL-per-issue'].apply(lambda ar: ar[0])\n", + "df8_qv = df_prop8[df_prop8['QV?'] == True]\n", + "df8_1p1v = df_prop8[df_prop8['QV?'] == False]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1p1v Wellfare loss" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'df8_1p1v' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0madf_1p1v\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0maggregate_by_num_voters_num_issues\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf8_1p1v\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;31mNameError\u001b[0m: name 'df8_1p1v' is not defined" + ] + } + ], + "source": [ + "adf_1p1v = aggregate_by_num_voters_num_issues(df8_1p1v)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 1p1v wellfare loss vs number of voters" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Avg WL of all issues" + ] + }, + { + "cell_type": "code", + "execution_count": 319, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_voters(adf_1p1v, \n", + " '1p1v avg. wellfare loss vs n_voters - 1 prop8 normal-dist calibration and rest normal $\\mu=0$', \n", + " hue='num_issues',\n", + " ylim=(0,1))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### WL of Prop8 Issues" + ] + }, + { + "cell_type": "code", + "execution_count": 322, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_voters(adf_1p1v, \n", + " '1p1v wellfare loss vs n_voters - just prop8 normal-dist issue', \n", + " hue='num_issues',\n", + " ylim=(0,1.1),\n", + " WL_col = \"Prop8-WL\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 1p1v wellfare loss vs number of issues" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Avg of all issues" + ] + }, + { + "cell_type": "code", + "execution_count": 323, + "metadata": { + "code_folding": [ + 0 + ] + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_issues(adf_1p1v, \n", + " '1p1v avg. wellfare loss vs n issues, 1 Prop8 normal-dist and rest $\\mu=0$', \n", + " hue='n-voters',\n", + " ylim=(0, 0.7))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Just Prop8 issue" + ] + }, + { + "cell_type": "code", + "execution_count": 324, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_issues(adf_1p1v, \n", + " '1p1v avg. wellfare loss vs n issues, just Prop8 normal-dist', \n", + " hue='n-voters',\n", + " ylim=(0, 1.1),\n", + " WL_col = \"Prop8-WL\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## QV Wellfare loss" + ] + }, + { + "cell_type": "code", + "execution_count": 325, + "metadata": {}, + "outputs": [], + "source": [ + "adf_qv = aggregate_by_num_voters_num_issues(df8_qv)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### WL vs Number of Voters" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Avg WL of all issues" + ] + }, + { + "cell_type": "code", + "execution_count": 326, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_voters(adf_qv, \n", + " 'QV avg. wellfare loss vs n_voters - 1 prop8 calibration normal-dist and rest normal $\\mu=0$', \n", + " hue='num_issues',\n", + " ylim=(0,1))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### WL of Just Prop8\n", + "\n", + "This shows the same surprising behavior as for the flat distrubtion prop8 WL vs number of voters, but the WL peak occurs with slightly fewer voters and it happens with number of issues >= 4 intead of 6. " + ] + }, + { + "cell_type": "code", + "execution_count": 327, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_voters(adf_qv, \n", + " 'QV wellfare loss vs n_voters - just prop8 normal-dist issue', \n", + " hue='num_issues',\n", + " ylim=(0,1),\n", + " WL_col = \"Prop8-WL\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Wellfare vs number of issues" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Avg of all issues\n" + ] + }, + { + "cell_type": "code", + "execution_count": 328, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_issues(adf_qv, \n", + " 'QV avg. wellfare loss vs n issues, 1 Prop8 normal-dist and rest $\\mu=0$', \n", + " hue='n-voters',\n", + " ylim=(0, 0.7))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Just Prop8 issue" + ] + }, + { + "cell_type": "code", + "execution_count": 330, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_issues(adf_qv, \n", + " 'QV avg. wellfare loss vs n issues, just Prop8 normal-dist', \n", + " hue='n-voters',\n", + " ylim=(0, 1.1),\n", + " WL_col = \"Prop8-WL\")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true + }, + "source": [ + "# Wellfare loss of QV and 1p1v in multi-issue voting --all issues with Prop8 Calibration using flat distributions" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "## Dataframe prep\n" + ] + }, + { + "cell_type": "code", + "execution_count": 340, + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [ + "df_all_prop8 = load_csv_to_dataframe('2020.02.22-multi-issue-QV-non-strategic-voting-all-issues-prop8-flat-dists.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 341, + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [ + "df8_qv = df_all_prop8[df_all_prop8['QV?'] == True]\n", + "df8_1p1v = df_all_prop8[df_all_prop8['QV?'] == False]" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "## 1p1v Wellfare loss" + ] + }, + { + "cell_type": "code", + "execution_count": 348, + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [ + "adf_1p1v = aggregate_by_num_voters_num_issues(df8_1p1v)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "### 1p1v avg wellfare loss vs number of voters" + ] + }, + { + "cell_type": "code", + "execution_count": 349, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_voters(adf_1p1v, \n", + " '1p1v avg. wellfare loss vs n_voters - all prop8', \n", + " hue='num_issues',\n", + " ylim=(0,1))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "### 1p1v avg wellfare loss vs number of issues" + ] + }, + { + "cell_type": "code", + "execution_count": 346, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_issues(adf_1p1v, \n", + " '1p1v avg. wellfare loss vs n issues, all Prop8', \n", + " hue='n-voters',\n", + " ylim=(0, 1.1))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "## QV Wellfare loss" + ] + }, + { + "cell_type": "code", + "execution_count": 347, + "metadata": { + "hidden": true + }, + "outputs": [], + "source": [ + "adf_qv = aggregate_by_num_voters_num_issues(df8_qv)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "### QV avg wellfare loss vs number of voters" + ] + }, + { + "cell_type": "code", + "execution_count": 350, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_WL_vs_n_voters(adf_qv, \n", + " 'QV avg. wellfare loss vs n_voters - all prop8', \n", + " hue='num_issues',\n", + " ylim=(0,1))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "heading_collapsed": true, + "hidden": true + }, + "source": [ + "### 1p1v avg wellfare loss vs number of issues" + ] + }, + { + "cell_type": "code", + "execution_count": 351, + "metadata": { + "hidden": true + }, + "outputs": [ + { + "data": { + "image/png": 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" + ], + "text/plain": [ + " [run number] payoff-include-votes-cost? majority-mean-utility \\\n", + "0 1 False 0.0 \n", + "1 64 False 0.0 \n", + "2 127 False 0.0 \n", + "3 190 False 0.0 \n", + "4 253 False 0.0 \n", + "... ... ... ... \n", + "6295 6048 False 0.1 \n", + "6296 6111 False 0.1 \n", + "6297 6174 False 0.1 \n", + "6298 6237 False 0.1 \n", + "6299 6300 False 0.1 \n", + "\n", + " majority-utility-stdev minority-fraction behavior-under-qv calibration \\\n", + "0 1 0 rational manual \n", + "1 1 0 rational manual \n", + "2 1 0 rational manual \n", + "3 1 0 rational manual \n", + "4 1 0 rational manual \n", + "... ... ... ... ... \n", + "6295 1 0 rational manual \n", + "6296 1 0 rational manual \n", + "6297 1 0 rational manual \n", + "6298 1 0 rational manual \n", + "6299 1 0 rational manual \n", + "\n", + " variance-of-pmp number-of-voters voting-mechanism marginal-pivotality \\\n", + "0 0.01 1001 QV 0.5 \n", + "1 0.01 1001 QV 0.5 \n", + "2 0.01 1001 QV 0.5 \n", + "3 0.01 1001 QV 0.5 \n", + "4 0.01 1001 QV 0.5 \n", + "... ... ... ... ... \n", + "6295 0.01 1001 QV 0.5 \n", + "6296 0.01 1001 QV 0.5 \n", + "6297 0.01 1001 QV 0.5 \n", + "6298 0.01 1001 QV 0.5 \n", + "6299 0.01 1001 QV 0.5 \n", + "\n", + " utility-pmp-correlation limit-votes? [step] mean payoff-sign-list \\\n", + "0 -1.0 False 1000 0.932 \n", + "1 -1.0 False 1000 0.954 \n", + "2 -1.0 False 1000 0.931 \n", + "3 -1.0 False 1000 0.922 \n", + "4 -1.0 False 1000 0.941 \n", + "... ... ... ... ... \n", + "6295 1.0 False 1000 0.998 \n", + "6296 1.0 False 1000 1.000 \n", + "6297 1.0 False 1000 0.996 \n", + "6298 1.0 False 1000 0.996 \n", + "6299 1.0 False 1000 0.999 \n", + "\n", + " average payoff wellfare-loss \n", + "0 0.93775 0.06225 \n", + "1 0.93775 0.06225 \n", + "2 0.93775 0.06225 \n", + "3 0.93775 0.06225 \n", + "4 0.93775 0.06225 \n", + "... ... ... \n", + "6295 0.99797 0.00203 \n", + "6296 0.99797 0.00203 \n", + "6297 0.99797 0.00203 \n", + "6298 0.99797 0.00203 \n", + "6299 0.99797 0.00203 \n", + "\n", + "[6300 rows x 17 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "def color(x):\n", + " if x == \"1. prop8-mean>0\":\n", + " return 'blue'\n", + " else:\n", + " return 'orange'\n", + "\n", + "\n", + "\n", + "df = pd.read_csv('QV Prop8 correlating pmp with utilities data.csv')\n", + "df['wellfare-loss'] = 1 - df['mean payoff-sign-list']\n", + "df['color'] = df['calibration'].apply(color)\n", + "\n", + "df2 = pd.read_csv('QV varying-mean-utility-table 2.csv')\n", + "df2['wellfare-loss'] = 1 - df2['average payoff']\n", + "\n", + "\n", + "display(df)\n", + "\n", + "display(df2)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "#ax = sns.scatterplot(x=\"utility-pmp-correlation\", \n", + "# y=\"wellfare-loss\",\n", + "# hue=\"color\",\n", + "# data = df)\n", + "#plt.title(\"blue='1.prop8-mean>0' orange='2.prop8-mean=0'\")\n", + "\n", + "df2 = pd.read_csv('QV prop-8-correlate-pmp-utils-table.csv')\n", + "df2['wellfare-loss'] = 1 - df2['average payoff']\n", + "\n", + "adf2 = df2[df2[\"number-of-voters\"] == 1001]\n", + "\n", + "\n", + "ax2 = sns.scatterplot(x=\"utility-pmp-correlation\",\n", + " y=\"wellfare-loss\",\n", + " data = adf2)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now lets confirm the differences in trends that we see above: Correlating pmp with utilities will rarely swing a vote when it's mean utility is far from zero, any \"noise\" that it would generate wouldn't matter because the vote would still be made in the same direction as the one that would minimize wellfare-loss." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'wellfare-loss with majority-mean-utility = 0')" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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[run number]payoff-include-votes-cost?majority-mean-utilitymajority-utility-stdevminority-mean-utilityminority-utility-stdevminority-fractionbehavior-under-qvcalibrationvariance-of-pmpnumber-of-votersvoting-mechanismmarginal-pivotalityutility-pmp-correlationlimit-votes?[step]mean payoff-sign-listaverage payoffwellfare-losswellfare-loss range
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...............................................................
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20992100False-41710.4rationalmanual0.011001QV0.51.0False10001.01.00.00.0
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2100 rows × 20 columns

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" + ], + "text/plain": [ + " [run number] payoff-include-votes-cost? majority-mean-utility \\\n", + "0 1 False -4 \n", + "1 2 False -4 \n", + "2 3 False -4 \n", + "3 4 False -4 \n", + "4 5 False -4 \n", + "... ... ... ... \n", + "2095 2096 False -4 \n", + "2096 2097 False -4 \n", + "2097 2098 False -4 \n", + "2098 2099 False -4 \n", + "2099 2100 False -4 \n", + "\n", + " majority-utility-stdev minority-mean-utility minority-utility-stdev \\\n", + "0 1 7 1 \n", + "1 1 7 1 \n", + "2 1 7 1 \n", + "3 1 7 1 \n", + "4 1 7 1 \n", + "... ... ... ... \n", + "2095 1 7 1 \n", + "2096 1 7 1 \n", + "2097 1 7 1 \n", + "2098 1 7 1 \n", + "2099 1 7 1 \n", + "\n", + " minority-fraction behavior-under-qv calibration variance-of-pmp \\\n", + "0 0.4 rational manual 0.01 \n", + "1 0.4 rational manual 0.01 \n", + "2 0.4 rational manual 0.01 \n", + "3 0.4 rational manual 0.01 \n", + "4 0.4 rational manual 0.01 \n", + "... ... ... ... ... \n", + "2095 0.4 rational manual 0.01 \n", + "2096 0.4 rational manual 0.01 \n", + "2097 0.4 rational manual 0.01 \n", + "2098 0.4 rational manual 0.01 \n", + "2099 0.4 rational manual 0.01 \n", + "\n", + " number-of-voters voting-mechanism marginal-pivotality \\\n", + "0 1001 QV 0.5 \n", + "1 1001 QV 0.5 \n", + "2 1001 QV 0.5 \n", + "3 1001 QV 0.5 \n", + "4 1001 QV 0.5 \n", + "... ... ... ... \n", + "2095 1001 QV 0.5 \n", + "2096 1001 QV 0.5 \n", + "2097 1001 QV 0.5 \n", + "2098 1001 QV 0.5 \n", + "2099 1001 QV 0.5 \n", + "\n", + " utility-pmp-correlation limit-votes? [step] mean payoff-sign-list \\\n", + "0 -1.0 False 1000 0.0 \n", + "1 -1.0 False 1000 0.0 \n", + "2 -1.0 False 1000 0.0 \n", + "3 -1.0 False 1000 0.0 \n", + "4 -1.0 False 1000 0.0 \n", + "... ... ... ... ... \n", + "2095 1.0 False 1000 1.0 \n", + "2096 1.0 False 1000 1.0 \n", + "2097 1.0 False 1000 1.0 \n", + "2098 1.0 False 1000 1.0 \n", + "2099 1.0 False 1000 1.0 \n", + "\n", + " average payoff wellfare-loss wellfare-loss range \n", + "0 0.0 1.0 1.0 \n", + "1 0.0 1.0 1.0 \n", + "2 0.0 1.0 1.0 \n", + "3 0.0 1.0 1.0 \n", + "4 0.0 1.0 1.0 \n", + "... ... ... ... \n", + "2095 1.0 0.0 0.0 \n", + "2096 1.0 0.0 0.0 \n", + "2097 1.0 0.0 0.0 \n", + "2098 1.0 0.0 0.0 \n", + "2099 1.0 0.0 0.0 \n", + "\n", + "[2100 rows x 20 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'passionate minority, varying utility-pmp correlation')" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + }, + 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "df3 = pd.read_csv('QV passionate-minority-pmp-correlation-table 2.csv')\n", + "df3['wellfare-loss'] = 1 - df3['average payoff']\n", + "df3['wellfare-loss range'] = 1 - df3['mean payoff-sign-list']\n", + "\n", + "display(df3)\n", + "\n", + "\n", + "ax = sns.scatterplot(x=\"utility-pmp-correlation\", \n", + " y=\"wellfare-loss range\",\n", + " color = \"orange\",\n", + " data = df3)\n", + "\n", + "ax2 = sns.scatterplot(x=\"utility-pmp-correlation\", \n", + " y=\"wellfare-loss\",\n", + " color = \"blue\",\n", + " data = df3)\n", + "plt.title(\"passionate minority, varying utility-pmp correlation\")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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[run number]payoff-include-votes-cost?majority-mean-utilitymajority-utility-stdevminority-mean-utilityminority-utility-stdevminority-fractionbehavior-under-qvcalibrationvariance-of-pmpnumber-of-votersvoting-mechanismmarginal-pivotalityutility-pmp-correlationlimit-votes?[step]mean payoff-sign-listaverage payoffwellfare-losswellfare-loss range
04False-416.110.4rationalmanual0.011001QV0.5-1.0False10000.1290.13280.86720.871
15False-416.110.4rationalmanual0.011001QV0.5-1.0False10000.1300.13280.86720.870
28False-416.110.4rationalmanual0.011001QV0.5-1.0False10000.1360.13280.86720.864
33False-416.110.4rationalmanual0.011001QV0.5-1.0False10000.1350.13280.86720.865
47False-416.110.4rationalmanual0.011001QV0.5-1.0False10000.1420.13280.86720.858
...............................................................
405407False-416.110.4rationalmanual0.011001QV0.51.0False10000.8800.86600.13400.120
406406False-416.110.4rationalmanual0.011001QV0.51.0False10000.8700.86600.13400.130
407408False-416.110.4rationalmanual0.011001QV0.51.0False10000.8670.86600.13400.133
408410False-416.110.4rationalmanual0.011001QV0.51.0False10000.8610.86600.13400.139
409409False-416.110.4rationalmanual0.011001QV0.51.0False10000.8620.86600.13400.138
\n", + "

410 rows × 20 columns

\n", + "
" + ], + "text/plain": [ + " [run number] payoff-include-votes-cost? majority-mean-utility \\\n", + "0 4 False -4 \n", + "1 5 False -4 \n", + "2 8 False -4 \n", + "3 3 False -4 \n", + "4 7 False -4 \n", + ".. ... ... ... \n", + "405 407 False -4 \n", + "406 406 False -4 \n", + "407 408 False -4 \n", + "408 410 False -4 \n", + "409 409 False -4 \n", + "\n", + " majority-utility-stdev minority-mean-utility minority-utility-stdev \\\n", + "0 1 6.1 1 \n", + "1 1 6.1 1 \n", + "2 1 6.1 1 \n", + "3 1 6.1 1 \n", + "4 1 6.1 1 \n", + ".. ... ... ... \n", + "405 1 6.1 1 \n", + "406 1 6.1 1 \n", + "407 1 6.1 1 \n", + "408 1 6.1 1 \n", + "409 1 6.1 1 \n", + "\n", + " minority-fraction behavior-under-qv calibration variance-of-pmp \\\n", + "0 0.4 rational manual 0.01 \n", + "1 0.4 rational manual 0.01 \n", + "2 0.4 rational manual 0.01 \n", + "3 0.4 rational manual 0.01 \n", + "4 0.4 rational manual 0.01 \n", + ".. ... ... ... ... \n", + "405 0.4 rational manual 0.01 \n", + "406 0.4 rational manual 0.01 \n", + "407 0.4 rational manual 0.01 \n", + "408 0.4 rational manual 0.01 \n", + "409 0.4 rational manual 0.01 \n", + "\n", + " number-of-voters voting-mechanism marginal-pivotality \\\n", + "0 1001 QV 0.5 \n", + "1 1001 QV 0.5 \n", + "2 1001 QV 0.5 \n", + "3 1001 QV 0.5 \n", + "4 1001 QV 0.5 \n", + ".. ... ... ... \n", + "405 1001 QV 0.5 \n", + "406 1001 QV 0.5 \n", + "407 1001 QV 0.5 \n", + "408 1001 QV 0.5 \n", + "409 1001 QV 0.5 \n", + "\n", + " utility-pmp-correlation limit-votes? [step] mean payoff-sign-list \\\n", + "0 -1.0 False 1000 0.129 \n", + "1 -1.0 False 1000 0.130 \n", + "2 -1.0 False 1000 0.136 \n", + "3 -1.0 False 1000 0.135 \n", + "4 -1.0 False 1000 0.142 \n", + ".. ... ... ... ... \n", + "405 1.0 False 1000 0.880 \n", + "406 1.0 False 1000 0.870 \n", + "407 1.0 False 1000 0.867 \n", + "408 1.0 False 1000 0.861 \n", + "409 1.0 False 1000 0.862 \n", + "\n", + " average payoff wellfare-loss wellfare-loss range \n", + "0 0.1328 0.8672 0.871 \n", + "1 0.1328 0.8672 0.870 \n", + "2 0.1328 0.8672 0.864 \n", + "3 0.1328 0.8672 0.865 \n", + "4 0.1328 0.8672 0.858 \n", + ".. ... ... ... \n", + "405 0.8660 0.1340 0.120 \n", + "406 0.8660 0.1340 0.130 \n", + "407 0.8660 0.1340 0.133 \n", + "408 0.8660 0.1340 0.139 \n", + "409 0.8660 0.1340 0.138 \n", + "\n", + "[410 rows x 20 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'passionate minority, varying utility-pmp correlation')" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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[run number]payoff-include-votes-cost?majority-mean-utilitymajority-utility-stdevminority-mean-utilityminority-utility-stdevminority-fractionbehavior-under-qvcalibrationvariance-of-pmp...marginal-pivotalityutility-pmp-correlationlimit-votes?[step]mean payoff-sign-listaverage payoffminmaxwellfare-losswellfare-loss range
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..................................................................
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2100 rows × 22 columns

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" + ], + "text/plain": [ + " [run number] payoff-include-votes-cost? majority-mean-utility \\\n", + "0 2 False -4 \n", + "1 6 False -4 \n", + "2 3 False -4 \n", + "3 4 False -4 \n", + "4 5 False -4 \n", + "... ... ... ... \n", + "2095 2096 False -4 \n", + "2096 2097 False -4 \n", + "2097 2098 False -4 \n", + "2098 2099 False -4 \n", + "2099 2100 False -4 \n", + "\n", + " majority-utility-stdev minority-mean-utility minority-utility-stdev \\\n", + "0 1 6.1 1 \n", + "1 1 6.1 1 \n", + "2 1 6.1 1 \n", + "3 1 6.1 1 \n", + "4 1 6.1 1 \n", + "... ... ... ... \n", + "2095 1 6.1 1 \n", + "2096 1 6.1 1 \n", + "2097 1 6.1 1 \n", + "2098 1 6.1 1 \n", + "2099 1 6.1 1 \n", + "\n", + " minority-fraction behavior-under-qv calibration variance-of-pmp ... \\\n", + "0 0.4 rational manual 0.01 ... \n", + "1 0.4 rational manual 0.01 ... \n", + "2 0.4 rational manual 0.01 ... \n", + "3 0.4 rational manual 0.01 ... \n", + "4 0.4 rational manual 0.01 ... \n", + "... ... ... ... ... ... \n", + "2095 0.4 rational manual 0.01 ... \n", + "2096 0.4 rational manual 0.01 ... \n", + "2097 0.4 rational manual 0.01 ... \n", + "2098 0.4 rational manual 0.01 ... \n", + "2099 0.4 rational manual 0.01 ... \n", + "\n", + " marginal-pivotality utility-pmp-correlation limit-votes? [step] \\\n", + "0 0.5 -1.0 False 1000 \n", + "1 0.5 -1.0 False 1000 \n", + "2 0.5 -1.0 False 1000 \n", + "3 0.5 -1.0 False 1000 \n", + "4 0.5 -1.0 False 1000 \n", + "... ... ... ... ... \n", + "2095 0.5 1.0 False 1000 \n", + "2096 0.5 1.0 False 1000 \n", + "2097 0.5 1.0 False 1000 \n", + "2098 0.5 1.0 False 1000 \n", + "2099 0.5 1.0 False 1000 \n", + "\n", + " mean payoff-sign-list average payoff min max wellfare-loss \\\n", + "0 0.141 0.13019 0.01919 0.02781 0.86981 \n", + "1 0.144 0.13019 0.01919 0.02781 0.86981 \n", + "2 0.133 0.13019 0.01919 0.02781 0.86981 \n", + "3 0.144 0.13019 0.01919 0.02781 0.86981 \n", + "4 0.145 0.13019 0.01919 0.02781 0.86981 \n", + "... ... ... ... ... ... \n", + "2095 0.870 0.87158 0.02558 0.02342 0.12842 \n", + "2096 0.872 0.87158 0.02558 0.02342 0.12842 \n", + "2097 0.865 0.87158 0.02558 0.02342 0.12842 \n", + "2098 0.869 0.87158 0.02558 0.02342 0.12842 \n", + "2099 0.863 0.87158 0.02558 0.02342 0.12842 \n", + "\n", + " wellfare-loss range \n", + "0 0.859 \n", + "1 0.856 \n", + "2 0.867 \n", + "3 0.856 \n", + "4 0.855 \n", + "... ... \n", + "2095 0.130 \n", + "2096 0.128 \n", + "2097 0.135 \n", + "2098 0.131 \n", + "2099 0.137 \n", + "\n", + "[2100 rows x 22 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "df = pd.read_csv('QV passionate-minority-pmp-correlation-table (0.04 mean) 2.csv')\n", + "df['wellfare-loss'] = 1 - df['average payoff']\n", + "df['wellfare-loss range'] = 1 - df['mean payoff-sign-list']\n", + "\n", + "display(df)\n", + "\n", + "yerrormin = df['min']\n", + "yerrormax = df['max']\n", + "yerror = [yerrormin, yerrormax]\n", + "\n", + "\n", + "ax = sns.scatterplot(x=\"utility-pmp-correlation\", \n", + " y=\"wellfare-loss\",\n", + " data = df)\n", + "\n", + "\n", + "plt.errorbar(df['utility-pmp-correlation'], df['wellfare-loss'], yerr=yerror, ecolor = 'orange', fmt='o')\n", + "\n", + "plt.title(\"passionate minority, 0.04 mean, varying utility-pmp correlation\")\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'passionate minority')" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "#Tipping point\n", + "#It definitely looks to be linear from close, but I will test again at higher means\n", + "df = pd.read_csv('QV passionate-minority-pmp-correlation-table (tipping).csv')\n", + "ax = sns.scatterplot(x=\"mean-utility\", \n", + " y=\"tipping-point\",\n", + " data = df)\n", + "plt.title(\"passionate minority\")" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[(0.04, 0.45)]" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "#Tipping point 2, \n", + "#Definitely not linear, while testing on mean greater than 0.4, the tipping point gets VERY defined (less of an s shape and more of a cliff)\n", + "\n", + "df = pd.read_csv('QV passionate-minority-pmp-correlation-table (tipping) 2.csv')\n", + "ax = sns.scatterplot(x=\"mean-utility\", \n", + " y=\"tipping-point\",\n", + " data = df)\n", + "ax.set(xlim = (0.04, 0.45))\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'above graph plus additional extreme point to prove non-linear')" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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37100110Falserationalmanual10.010.301p1vFalse01000.780.22
48100110Falserationalmanual10.010.351p1vFalse01000.830.17
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{}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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zeP3119mxYwcTJ05k2rRpAEyfPp2XX365IaBUVlby0UcftXgPdpcOEJrWB1x11VXk5eVRUFDAxIkTOfjggxk1ahQ2m40pU6bwww8/AHDhhReSlpaGzWZj7ty5LF26NOoAq+eff54LL7yQ0aNHY7PZuPvuu/n666/ZsGFDwzY33ngj2dnZOByOdvOXn5/P4YcfzquvvgrABx98QL9+/RgzZkxiXoDdMHPmTF544QXC4TAAzz77bKuBy2q1Ul5eztq1azGbzYwZM4b09OYrHRgWLFjAPvvsw1lnnYXVauV3v/sdAwYMaHj8scce48Ybb2TkyJFYLBZmz57Njz/+SHFxMRMnTkRE+OKLLwB47bXXOPTQQxk4cGBCn7sOEJrWB+Tl5TX873A4Wtx3u92EQiFuuOEG9tprL9LT09ljjz0AYxqR5rZs2UJRUVHDfZfLRU5ODiUlJQ1pgwYNiiuPM2fObLhSf+655xp+hOfNm4fL5cLlcjFr1qy4jpkIBx98ME6nk88++4yVK1eydu1aTjvtNICGfLlcLjZu3Mh5553H8ccfz9SpUxk4cCDXXXcdgUAg6nG3bNnS5DUSkSb3i4uLufrqq8nMzCQzM5Ps7GyUUpSUlCAiTJ06lRdffBGAF154odXS3u7QAULTNMD4kXnrrbdYtGgR1dXVDaWBaOvWDxw4sKE+HKCuro7y8nIKCgoa0toanBXtsdNPP53//e9/LFu2jHfffbfhB2/27Nm43W7cbndDTyqn00l9fX3DvqWlpfE92TjyBbuC17PPPstZZ52F3W4HaMiX2+1m8ODBWK1Wbr31VlasWMFXX33Fu+++yzPPPBP12Pn5+WzatKnhvlKqyf1Bgwbx2GOPUVVV1XDzeDyMHz8egGnTpvHaa69RXFzMN99806INJxF0gNA0DYDa2lpsNhs5OTnU19c36f7Z3PTp0/nHP/7Bjz/+iM/nY/bs2Rx88MENpY725OXltRgTYbfbOeuss5g+fToHHXQQgwcPbnX/Aw88kNdff536+nrWrl3Lk08+2e7xY5Gbm4vJZGqx73nnnccbb7zBc889x/nnn9/q/p988gk//fQToVCI9PR0rFYrZrM5ap5OPvlkli9fzuuvv04wGOTBBx9sEuhmzZrF3Xff3dBRoLq6uqEKDmDUqFHk5uZy8cUXc/zxx5OZmRn3822PDhCapgFw/vnnU1RUREFBAfvssw+HHHJIq9sec8wx3HHHHZx55pnk5+ezbt06XnrppZjPddFFF7FixQoyMzM5/fRdqwDMnDmTn376qd3G6WuuuYaUlBTy8vKYOXNmi+qVuXPnMnPmTDIzM3nllVdizldqaio33XQTEyZMIDMzk//85z8AFBYWMnr0aESEiRMntrp/aWkpZ511Funp6YwcOZIjjjiioYfU1VdfzWuvvUZWVha//e1v6devH6+++io33HADOTk5rFmzhgkTJjQca8qUKVx//fVMnTqV9PR09ttvP95///0m55s2bRqLFi1i+vTpMT/HeEi04mNPNHbsWLVkyZKuzobWR/3888+MHNm7l00///zzGTp0KLfcckunnWPjxo2MGDGC0tLSVht3u8qFF17IwIEDO21wX2dr7TMqIt8ppcZG20ePpNY0rV3BYJBVq1YxadKkTjtHOBzmgQceaLhi7k42bNjA66+/3tDbq6/QVUyaprVrwIABZGZmdkpDKBiN3Onp6SxcuJDbbrutU87RUXPmzGG//fbjD3/4A0OGDOnq7CSVLkFomtauaF1dE8npdDaZq6k7ueOOO3ZrksKeTJcgNE3TtKh0gNA0TdOi0gFC0zRNi0oHCE3TNC0qHSA0TdO0qHSA0DRN06LSAULT+oCKigqmTJmC0+mkqKiIF154oauzpPUASQsQIpItIm+ISJ2IFItI1MlDROQCEQmJiLvR7chk5VPTeqMrrriClJQUtm3bxvPPP89ll13WZLU4TYsmmQPlHgb8QB5wIPCeiCxVSkX7lH6tlDosiXnTtC7jqyzHU1pCOODHZE3BMaAAW1ZOwo5fV1fHv/71L5YtW4bL5eKwww7jtNNO49lnn+Wee+5J2Hm03icpJQgRcQJnAnOUUm6l1JfA20D86wlqWi/iqyynbnMx4YAfgHDAT93mYnyV5Qk7x+rVqzGbzQwfPrwh7YADDtAlCK1dyapiGg6ElFKrG6UtBfZtZftRIlImIqtFZI6I6ClBtF7JU1oCKtw0UYWN9ARxu91kZGQ0ScvIyKC2tjZh59B6p2T98LqA5gvbVgNpUbb9HNgPKMYIIC8DQeDu5huKyKXApUCbi4toWne1s+QQa3pHuFwuampqmqTV1NSQlhbt66dpuySrBOEGms/fmw60uIRRSq1XSv2ilAorpX4CbgfOinZQpdTjSqmxSqmxubm5Cc+0pnU2kzUlrvSOGD58OMFgkDVr1jSkLV26lH33ba0Ar2mGZAWI1YBFRIY1SjsAiKUSVAGtL26raT2YY0ABSLOvoZiM9ARxOp2cccYZ3HLLLdTV1bF48WLeeuutdldt07SkBAilVB3wOnC7iDhFZAIwGXi2+bYicqKI5EX+HwHMAd5KRj41LdlsWTk4C4saSgwmawrOwqKE9mIC+Pvf/47H46F///5MmzaNRx55RJcgtHYls/H3cuApYDtQDlymlFouIoOBFcA+SqmNwDHA0yLiArYBzwHzkphPTUsqW1ZOwgNCc9nZ2bz55pudeg6t90lagFBKVQCnR0nfiNGIvfP+tcC1ycqXpmmaFp2eakPTNE2LSgcITdM0LSodIDRN07SodIDQNE3TotIBQtM0TYtKBwhN0zQtKh0gNE3TtKh0gNA0TdOi0gFC0/qAhx56iLFjx2Kz2bjgggu6OjtaD6HXWdC0PmDgwIHcfPPNfPjhh3g8nq7OjtZD6AChaV2ss5ccBTjjjDMAWLJkCZs3b07osbXeSwcITetCO5cc3bmq3M4lR4FOn8BP09qj2yA0rQslY8lRTesoHSA0rQslY8lRTesoHSA0rQslY8lRTesoHSA0rQslY8lRgGAwiNfrJRQKEQqF8Hq9BIPBhJ5D6310gNC0LpSsJUfvvPNOHA4H99xzD8899xwOh4M777wzoefQeh/di0nTulgylhydO3cuc+fO7dRzaL2PLkFomqZpUekAoWmapkWlA4SmaZoWlQ4QmqZpWlQ6QGiapmlR6QChaZqmRaUDhKZpmhaVDhCapmlaVDpAaJqmaVElLUCISLaIvCEidSJSLCLTY9jnYxFRIqJHfGvabpgxYwb5+fmkp6czfPhw5s+f39VZ0nqAZJYgHgb8QB5wLvCIiOzb2sYici56KhBNS4gbb7yRDRs2UFNTw9tvv83NN9/Md99919XZ0rq5pPwAi4gTOBPYTynlBr4UkbeB84AbomyfAdwKnA98nYw8alpXKf5mJT+9tZj6ilpSs9PYf/IEig4ekdBz7LvvrmsxEUFEWLduHWPGjEnoebTeJVkliOFASCm1ulHaUqC1EsQ84BGgtK2DisilIrJERJbs2LEjMTnVtCQq/mYlS55fRH1FLQD1FbUseX4Rxd+sTPi5Lr/8clJTUxkxYgT5+fmcdNJJCT+H1rskK0C4gOpmadVAWvMNRWQsMAH4W3sHVUo9rpQaq5Qam5ubm5CMaloy/fTWYkL+pusyhPxBfnprccLP9fe//53a2lq++OILzjjjDGw2W8LPofUuMQcIEfm9iBwY+f8QEdkoIutF5NAYdncD6c3S0oHaZucwAX8HrlZK6dVMtF5vZ8kh1vTdZTabOeyww9i8eTOPPPJIp5xD6z3iKUFcA/wS+f9u4AHgLuAvMey7GrCIyLBGaQcAy5ttlw6MBV4WkVLg20j6ZhGZGEdeNa1HSM1uUYhuMz1RgsEg69at69RzaD1fPAEiQylVLSJpGD/uf1NKPQns3d6OSqk64HXgdhFxisgEYDLwbLNNq4GBwIGR285K0jHAN3HkVdN6hP0nT8Cc0rSviDnFwv6TJyTsHNu3b+ell17C7XYTCoX48MMPefHFFzn66KMTdg6td4qnF9MmERmP0bD8uVIqJCLpQCjG/S8HngK2A+XAZUqp5SIyGFgB7KOU2kijhmkRsUf+3aarnLTeaGdvpc7sxSQiPPLII8yaNYtwOExRURF/+ctfmDx5csLOofVO8QSIPwCvYYxlODOSdgrw31h2VkpVAKdHSd+I0YgdbZ8NgMSRR03rcYoOHpHwbq2N5ebm8tlnn3Xa8bXeK+YAoZRagFH909irkZumaZrWy8TTi2kfEcmL/O8SkduAGwFrZ2VO0zRN6zrxNFK/AGRG/r8fOBw4FHgs0ZnSNE3Tul48bRB7KKVWiYgAUzAaqz3s6vqqaZqm9SLxBAhfpIvrPsAmpVRZZJZVezv7aZqmaT1QPAHiBeBjjOkxHoqkjUaXIDRN03qleHoxXSMixwEBpdQnkeQwxghrTdM0rZeJa7pvpdRHIjI4Mv9SiVJqSSflS9M0Teti8XRzzReRz4A1GNNmrBWRz0Sk+dgITdM0rReIp5vrIxhrOGQrpfKBLOBH4NHOyJimaYm3Zs0a7HY7M2bM6OqsaD1APFVMhwH5SqkAGBPwich1QEmn5EzTtIS74oorGDduXFdnQ+sh4gkQlRhdXJc2StsbqEpojjStj/l24RLemb+Ayu2VZPXP4tSLT2LcpLEJP89LL71EZmYm48ePZ+3atQk/vtb7xBMg7gUWiciTQDFQBPwGmNMZGdO0vuDbhUt48f5XCPgCAFRuq+TF+18BSGiQqKmp4ZZbbuHf//43Tz75ZMKOq/VuMbdBKKWeAM4B+gGnRv5OU0o93kl507Re7535CxqCw04BX4B35i9I6HnmzJnDRRddxKBBgxJ6XK13i7eb68cYg+U0TUuAyu2VcaV3xI8//siiRYv44YcfEnZMrW9oM0CIyO2xHEQpdUtisqNpfUtW/ywqt7UMBln9sxJ2jk8//ZQNGzYwePBggIaV5VasWMH333+fsPNovU97JYhYyqMqERnRtL7o1ItPatIGAWC1WTn14pPa2Cs+l156KVOnTm24f//997NhwwYeeeSRhJ1D653aDBBKqd8kKyOa1hftbIjuzF5MqamppKamNtx3uVzY7XZyc3MTdg6td4qrDWInEfm7UuryRGdG0/qicZPGdkq31tbMnTs3aefSerZ4RlI3podhapqm9XIdDRCS0FxomqZp3U5HA8S8hOZC0zRN63biDhAiMgj4pN0NNU3TtB4tnum+B4vIYmAlsCiSdpaIzO+szGmapmldJ54SxGPAexhLju7stL0QmJToTGmapmldL55urgcBJyulwiKiAJRS1SKS0TlZ0zRN07pSPCWIbcDQxgkisg+wMZadRSRbRN4QkToRKRaR6a1sN1VEVolItYhsF5F/ikh6HPnUNE3TEiCeAHE/8K6I/AawiMg04GXgjzHu/zDgB/KAc4FHRGTfKNstBiYopTKAPTFKOXfGkU9N0zQtAeKZ7vsp4DrgbGATcD4wRyn1fHv7iogTODOyvVsp9SXwNnBelPNsUkqVNUoK0azkomla/F566SVGjhyJ0+lkr7324osvvujqLGndXExtECJiBv4NHK+UerMD5xkOhJRSqxulLQWOaOV8h2E0iKcD9cCUVra7FLgUaJipUtO0lhYuXMj111/Pyy+/zEEHHcTWrVu7OktaDxBTCUIpFQKGxLp9FC6gullaNUaPqGjn+zJSxVQI3AdsaGW7x5VSY5VSY/XEY1pP9d6bCzl+/K85YI8jOX78r3nvzYUJP8ett97KLbfcwiGHHILJZKKgoICCgoKEn0frXeL5wb8No92gSETMImLaeYthXzdGaaCxdKC2rZ2UUiXAB8BLceRT03qM995cyG033MfWkm0opdhaso3bbrgvoUEiFAqxZMkSduzYwdChQyksLOTKK6/E4/Ek7Bxa7xRPgJiP0e6wHqOxOQAE2TUmoi2rMRq2hzVKOwBYHsO+FmCvOPKpaT3Gg/c+gdfja5Lm9fh48N4nEnaObdu2EQgEeO211/jiiy/48ccf+eGHH7jzTt33Q2tbPAFiSOS2Z6PbzvttUkrVAa8Dt4uIU0QmAJOBZ5tvKyLnRkZti4gUAXdhtKDZKZMAACAASURBVH9oWq9TumV7XOkd4XA4ALjqqqvIz8+nX79+/P73v2fBgsSue631PvH0Yipu7RbjIS4HHMB24EXgMqXU8kgwcIvIzlbmfYCvMKqlFgOrgEtifkaa1oMMGNg/rvSOyMrKorCwEBE9CbMWn7gWDBKR0zB6HvWj0ZTfSqnz29tXKVUBnB4lfSNGI/bO+zcBN8WTL03rqX573SXcdsN9TaqZ7A4bv70usddEv/nNb/jb3/7GCSecgNVq5S9/+QunnHJKQs+h9T7xTNZ3K8Z8TCaMsRDlwPFAVedkrWcIh0JdnQWtBzv59Ences8fyC/IQ0TIL8jj1nv+wMmnJ3aKszlz5jBu3DiGDx/OyJEjGTVqFDfdpK/DtLaJUiq2DUWKMeZiWiYiVUqpTBE5CLhZKXVap+YyBmPHjlVLlixJ2vl8bg/lv5Sy8b8ryRmSz6Cxw7Gnp7a/o9Yr/fzzz4wcObKrs6FprWrtMyoi3ymloq55G08VU6ZSalnkf7+IWJVS/xWRqIPderNQMMT6xcv56Y0vAdj47So2LlnFhMtOxZ6mg4Smab1DPAFinYjsq5RaDiwDLhORSqCyc7LWffnrvKz6qGlppXz9VoLeQCtD/zRN03qeeALEzUBO5P8bgBcwGpcvT3SmujsBUnPS2fO4UbgG5uCrqafkyxWISfcS0ZpSKgyRWlwxdXQiAk3rGm0GCBG5Uin1UOTuaqXUWgCl1H/pwxPopbjs7Hvukdxy/b18+/UPDCoq4I57r0dSzF2dNa0bUeEwYb8PFQ6DyYQ5JQXEpLubaj1Ge5c0dzX6//vOzEhP4nbXM+/Wv/Lt1z8AsKm4hKsumU2dx9vFOdO6UuMOH0qpXcEBIBwm5PNBjJ1CNC2RYu2M1Fx7VUzrRORPGFNiWEXkwlZO/lSHzt5D+X1+vvmqabysrXFTV1tHbv+cVvbSejO73U55eTk5OTlGCUGpXcFhJx0ctC6glKK8vBy73R73vu0FiKkYa0BMA6xEWb8Bo4a1TwUIi9XCiH2G8r8fVjSkpdhSSHXG1oNJKYUKBgh66hGzBbPNhsli7azsJkw4GESFggS9Hix2B2KxYDLH1ozl8/mpqqxmxf9WMaAgjwH5uWRlZ3ZyjpOnsLCQzZs3s2PHDmDnexwE1ThICGK16iqmTqLCYcIh4/U2mU26zacRu91OYWFh3Pu1+e2OrN9wMYCI/FspdUzHste7ZGZlcOcDs7n03N9TumU7jlQHd9x/PWkZrvZ3BsIBPzVrVqAig+zMqU7SioZisnbfIKHCYfzVldSX7JpZJXXgYGzZ/WL6Iq5bvYHzz7wCv88PwHGnHMXNd1xDZnbvWNLcarUyZMiQJmlBr4fa9atRwQCYTLgG74nVla5/uDpBfWUtC+e9iK+2HoCMgn4ccfUU7OnOLs5ZzxZzLyYdHJoavEcBL7z9GJ56Dza7jYyMNGx2W7v7hcMhPNu2NAQHgFB9HSGvp3sHiFCQ+q2bmqTVl27GmpGJ2ZTS5r5VldX8ce6DDcEB4KN3P+HK31/YawJENGabnYxh+6DCIcRkQswWHRw6QTgYYvWi7xuCA0B1SRll67ZQOGpYG3tq7WmvF9MmGjrptU4p1eeWczOZTOT0y0KF0hCTOfYvflgRDrScIT0cjGXW9K6jFNC8Tj0cjuHTAcFgiLIdFS3Sa2raXA6kxxMRlNlM0BfEYjNh6iPBQYXDkaAYx/diN4TDirqKlp+l+kp3p5+7qyml8Nf7MFvMWGyJv8BsrwQxI+Fn7CXCwQC+ynIC1ZWY7Kmk9s/HlNL2lTSAyWLBnpOL212zK1EEi7N7j7ATkwmLK51go3xbnGkxjf3IzErnzOmn8Je7H2tIy87JJL9gQKfktbvw1tbzy+LllCxdR3ZRHiNPGIcjM7ZqyJ4qHAjg3bGNQH0tVlc69pz+nV4ytqRYGHbUgZT8sLYhzWQ2MfBX7a5E0KP56jyULi9m3ef/w5GZxv6TDyU1Jz2hFyIxz8XU3SVzLqZwOISntARf2a45+002O+l77h3TlyEcDBJw1+Ar24aYLTjyCzGn2Lp99YPx5S8lUFeL1ZmGPXdAzF/+yopqPnz3Y9569QMGFQ3kt9ddwsDCAb32qjrg8/Pjq5/zy5fLGtKMevEzeu2cXeFgAHfxeoJ1u67mrekZOAuHYLLENXF03Pz1XsrWbmHlh0sw26z86vQJpA3IwpLSfattd4cKKzb8ZwXfPrNr5UFrqo0Tbj0PR4xtoTt1eC4mEbk9pswqdUtcOerpQiF8FWVNksI+Lyocwujs1TaTxYItMxurKw1EYu4J1NVMViuOAQXYO1B9kJWdwdnnnsbxpxyFzWYj1enoxJx2vaA3QPHXK5qkVZeUEfR176rE3aHC4SbBASBQU92sJ1fnSEm1M/BXe5KzZz5iNpHiaL89sCfz13lY++nSJmmBeh/VJeVxB4i2tPfLNChhZ+pVBJPFStjva5Yc+w9mZUU1Xo8Xk9mEy5WK09UzeluIqePdB81mc4/r2hoKhPDXeQgFQ5hTLNjTUmPuppricuCtrmu4LyKYLL2zxATG8yMyBqQhzZTc2QVsro5deAS8fgIeP0qFsaRYO3yceAWDQaoivwU2u43MzHSstvarqsVixpbWMo8pCc53e91cf5PQs/USYrGQOnAQ7g276jxtObkx/3CW76jg2ivm8t03S7FYzPxm1nTOu+TXZGamd1aWtQ4I+oNsX7WRb578gIDXjzMnncN/O4W0vKx297W5HIyeehRfPf5uQ0P+8EmjscTw5e+xTGYceQPxlJY0JDnyC5FuXkL2uT2sWvgdqxZ+jwqHyd27kEMvOikpVYHr1xRzxQXXs610B+kZaTzw6O2MGrNfu0EixWHjgDMmsmN1CaFAEID+IwaRmpXYNq642iBEZCRwFpCnlLpSRPYGbEqp/yU0Vx2Q7PUgwqGQMWisrg6z3Y7JmhJTPWswEOTRB//J4w8+0yT91fefZO99+uz0Vt2Sp8rNgjlPN3wBAbL3GMDEKyZHvXprLuD14XN7qfillPSBOTgyXdic8Y9m7UnCwSDhYICQpx5LqhMxWzq9/WF3VRRvY9HdLzZJ2++0QxlxwrhObSMr217ORdOu4Ze1u8YWpWek8cbCp8nN69fu/qFgCF+th/JftuLIcOLqn9mh5QbaaoOIZ0W5s4HPgQJg5xKjacADceeoFzCZzZhTbNiysrE4UmP+EtTXe/j+vy3j6YqfViU6i9puCvoCTYIDQGXxNsLNu/u2wmq34eqXweBxe5NZ0K/XBwcw2tcsdge2rBzMNnu3Dw5gBIjmdqwp6fT2olAo3CQ4ANRU1+L1+lrZoymzxUxqlotBo4fRb6+BnbIWTTzv3u3AJKXUjyJyTiRtKXBAwnOVJMaVjodAvZuUtAxMKbZO/0A7XakcfvShLPnPj03SDxizX0z7K6Xw1tSzddkvBH0BCg8cii09FbOle88k6/d48VbVsfmHtaQPyDY+0Bndu93FYk/B6rARaLRedO7eBZhifK2rq2sp2biFLz/9hv0P3Ie99xlKdk5sbTBej4+yHeUsXPAZefm5HDR+NP1yszv0PHqKcChIOBAgUF2J2Z6KxelMyhQ0uUMHtkjL339Ip4wraMxqNbPP/ns3uTjs1z8bewwDbiFSixEM4K+uxJRiw+pMS3iX4nh+DftjBATYNTxKEdNQqe4nHAxSv7UEf6XRG8m7bQuOgYOwZ8feltARZrOZ0846gVU/r+WDtz8m1eng97NnxTzJn7emnoXzXmho/Fz21lccN2cGrn7de0RyxS+lfP63Nxs+LTlD8plw2SndeiqEFKedw686nf88+T515TXkDMln3PnHxVQSCPgDfPDOv7nrpj83pJ08ZRI3zL2ajMz2x7z8sq6YcyfPIhg0RtwPGVrEUy/9hZxeGiSUUgTdbtzFu9r1LM40XEV7dnqQcGS6GD3tKH56YzFBf5Cig0cweNzend4FO7tfNvc9fCvXXn4rPy9bQ9GQQu57eC5ZMV5EhLweatetbLhvtjtIGzI8oUEinjWpPwKeU0o9IyIVSqlsEZkBTFVKnZKwHHVQvG0QIb+f6pVNq3rEZCZj7/2SMuWF211HfZ0HESEjM52UGPtrr1+8jCXPLmqSNvSIX3Hg2UfEfGWbbN7qOr54+C0qN25vkn7cnHPJLMjtolzFRoUV3tp6VDiM2WqJuXdL2fYKpkyaSXVVTZP0D796hfyCvDb3ddfWcd1Vt/HlJ980SZ//4p85aPzo+J5ADxEOBKhZv4qwr+mU+RnD98PcgVlI4xUKBvHXGdOxW2xWrEnsJltRVkEgEMRsNpPdLyumwBQOBnEXr2vRrThtrxFYnUkaB9HMVcBCEbkIcIrIh8Bw4Li4ctNttAyMSoWjpncGl8uJqwNdW6PViwZ8gaQV4/weHyF/EEuKJeYvkUK1qMsHCAdCUbbuXsQkBAjjC/hx2uL5uqgmc0/tFA63/06Fw2F83pb7ej2x1U33WFHadlSSPtlmiwWbU4ECMSf3Qiu7X8dKhSra+JIEjzmJpwxlA0YAD2MsP/oPYH+l1JqE5ihJxGTG4mpa1Lfl9Ick99uOV+GBQ5vUjYoIIyaNSUobRH1lLd8+s5CP7nye//7zI+qjzH8Tjc2Vyt6TxjRJc+Vm4Ehwl7xEU0qx8ZfNXHv5XH590sX8ce6DUeeUisaV5uLcC89qkjbm4ANIjaF6Kj0jjYuvaDrLTXa/LEbuPzz2zPcwYjFjz2069YrJZk/KINJwKESgtoba9aupWfsz3vLt3X5uNJPFgqPZ6yUWK2ZbYsdBxFPFtBFwAl8An0VuP6huMldHR7q5hgMB/NUVBNy1pERGNnf3dRlCoRCeSjerF35HwBdgxKQxOPtldHqDmrfWw5d/f4uKX0ob0rIG92fiVafH1HvC5/ZQuXEb6xcvJ31AFntN/FW3n5eobHs50079P7aV7mhIO/6Uo7j1j3+IqfRXVVHNN199z4fvfsyosftz0umTyOnX/hgKMBagWr+2mBee/hcD8vsz7YIzyBuQ26vXkggHgwTr3fgqy42eUNn9MFk7f9xIyOeletWyJmnOQUOwZXXvxb/CoSAhjwdf+XZMKTbs/fp36PVqq4op3nEQewKHA0dE/uYAX/bENoidlFKgVLefB6m5cCiMUippvZfqK2p5d/aTLdJPmXchqdmxD/AL+QOIxdwj5mDauGEzpxxxbpM0i9XCR1+9Qr84Vg70+fxYrZYOPWe/P4DZbMKc5GqPrqTCYRBJWjD0lm+nvmQjICCAUlhd6TiL9uwR0+Ds7uuVqDYIlFLrRcQCpERuJ2D0boolE9nAkxhtFmXAjUqpF6JsNxP4LTAMqAFeAGYrpVpWYu+murp63DV1VFZUkd0vi4zMdGw9YKRrOBhAhULGusfKkpRGdTELKU47/rpdjYjW1PgnGDR3cPK0irJKqqpqMJtNpGekxTVlR1VlNe7aOrweH5nZGTF3F7XZbVgs5oaeRACDigpimsG2yXF24zMVa+eFRKqprsVdW4e7to7snMyYG053V8AfpLKikoqyStIz03GmOshIwnohZpudYHo/PCHw+wKkuxzYbSYkjqlzulJnXtzGHCBE5CVgAlACfAo8D8xSSsU6qf/DgB/IAw4E3hORpUqp5c22SwV+B3wD5AJvA9cC98Sa11h46r0sXPAZt11/H6FQCIfDziPP3seosft362J8OBDAvWk9QbfxspttdtJinEV2d6Q4HYw7fxJfP/4e4VAYMZkYd94kUpIw6V7ZjgpmnXctq39eB8BBh47i3oduJTuG6prKiir+OPdvLHjL6Pk1sHAAT7/2Nwbkt39d43Q6+H83Xc69tz+EUgqHw84d911PTgcbFXuC6qoannjoOZ554mXAaPt45l8PMXiP+JerjNeG9Rv5za9/S011LSLC//32fKbPPJPMnM4NErXeIHffPZ9/f/AFYCwG9tTLfyW1B5RyO1s8r8BYIIQxFmIp8GOswUFEnMCZwByllFsp9SXGD3+LNa6VUo8opb5QSvmVUiUYgWhCHPmMSW2tm7tueoBQZGU3j8fLTdfMo6KsMtGnSqigp64hOIBRf+qr3EFnNwWZLWbyRgzmpDsv5Ngbp3HyXRcyYJ8izNbOrfpQSvHu6x82BAeA/379Az8s+Smm/Us2lTYEB4Atm0uZ/9BzMY1WTbWncNwRo1jw2XO88MbDvLXwHwzOtkdd8Km3qKqsbggOYJTc7rv9Ydy1dW3stfsqdlRw181/pqba+GwrpXjswWeoq69vZ8/d98u6TQ3BAWDjhhKeffJVAr34fY5VzAFCKTUUOAT4GDgMeF9EVovI/Bh2Hw6EImtc77QU2DeGfQ8HmpcyABCRS0VkiYgs2blYfKx8Xh++Zt0Qt2wuJdw92txbFfJ4WqQFPZ4mM2h2FovNSmqWi+yiPFKzXJ3eMA7GbJc/L2vZUW5Vo4DRlo2/bG6RtnbVL/hiCBAqHMZcV4mjupSBKX5SKrcQrqmK6byJosLhTg/+jW3fVtYibcP6jTG9Xo35/fH9uAYCQYo3NH2vlFJUVVTHdZxgIEAwGF9t9Ppm010ArFm5PmpX474mrjKUUqoUWAWsBTYAA4ATY9jVBTR/p6sx5nJqlYj8BqPkcn8r+XlcKTVWKTU2Nze+AVeOVAcFg/KbpI0/4qBu3wZhzWhZ927LyulxjeyxslqtTD7rhBbpx55weEz7Hzh2vxYNvCdPmURaevs9qMRkRnb2aov00bemZyRnGc2Q0aOnbvMGPNu2EPL7kxIoioYMajHVw3EnH0V6DKO/ASrKq3jj5fe46Zq7eO/NhVRWxBZQ09JdHH3cYS3ScvNi6wxQ565jzcr13HHTn/nz3Y+yZXNpzIHi4AljWrSxnHLGcbjSuu8o/2SJp5vr2xglh1qMLq6fA5/FMg5CREYBi5VSqY3S/h9wpFLq1Fb2OR14DDhWKdVufUK8vZiUUmzeuIU7Zj/Az8tWM/6IcVx70xUxfyC7SjgUJOiupb50M4QVttw8bJk5PWJStI4q21rGh+9+zDP/eI2UFCuzrprJ+IljyerffluAp97LT0t/5o9zH6SqopqzZ0zmnPNOJyuGxk+lFGG/j7rNxYS8Hqxp6aTmD0pKp4CA2+iXv5NYrGQMG9np3T79/gBrVq7nzpseYOuWbZx8+iQuuvzcmOaQqqmu5fbZf+Kjdz9pSDtr+qn8v5sux+lqvyt02fZyHvnzP1j0wecMHlLIzXdcw5BhRaTEsJTvqhVrOefkSxomUnSlOXlj4T/Jy2//wrGurp6l3y3nvtsfwl1bx9SZUzhz2ilkZnXv6WsSJSHdXEXkAoyA8EsHMuAEKoF9dwYUEXkG2KKUuiHK9icAzwInK6X+G8s5OtrNtbqqFr/fT2qqI6YPcXeglEIFg4BCzJZeW3oAozvv9y9+jLfOQ/Z+RahQmLIf1zNgZFGLwXdtKS+rJBwOk5mVjjXOH/hwMGiMUDWZMSWhu2k4FMS9oeU0Cq49hpKSnpwFlyrLqwiGQqSlu2KePK5063aOP/TXTUo6FouZD756hf4xTF8NUFdbh9tdh8VsISeGCwAwqovnXn8v773ZdAqaOXddw9kzTo/pGEopKsqrUOEwGZnpWHvpUqXRJKSbq1Lq6Y5mQClVJyKvA7eLyMUYvZgmA+ObbysiR2M0TE+JNTjsDpvJREqKDRPdt+dSc35/wGjMU+BKS8WR2ouX7xQwWy1s+WEdW37Y1e5QcMBecR0m1gFq0SS9dKaI2pU2nm6XQX+AQL0XECx2K9YYf+R3inXCuMYEwWQyNXT8AGNyyni+Wc40J844q3ZEBJut5fOLltbWMXbnM9JbJfPS83LAAWwHXgQuU0otF5HBIuIWkcGR7eYAGcCCSLpbRN5PdGbCoTCVm7bzyZ9e450b5vPlw29TV17T/o5drLqqhpefeZPTjprBCYedw1/vfSLmet6eyGQyMeyYUU0axG1pjrgDRE9islhw5BVAo59Wk82G2R7bhYC3tp7Vi77n/VufYcGcf7BiwTd4azu/N5AzLZVfnze5SdpvZk2Lqb1nd6TYUvjNZdOalHT65/Xj0MPHdep5+4K4RlJ3Z/FWMXmq6/jozufxNfri5OyZz2GXn5a09Wg7YtnSlUw/7f+apN3915s5+fRJXZSjzhcKhfBV17Ppu9WYrRYKDtwLe7oz7gFrPUk4HEJFpoIRS4qxXkmMVWM71mzmkz+91iRt/P+dTOGoYZ2R1SYqK6pYs3I93379I+MPH8eQoYOTUpfv8/ko31HJB+98TFqakyMnTSAnN7tHjNjvagkbSd2bBH2BJsEBoHz9VsKh7j3D6Feff9si7d8ffM6xJxyOLc5qhJ7CbDaTmp0WV5tDT2cymcFmxtG/5WI27dnyv/Ut0jb/sI6Bv9oLk7lzfzCzsjM5aPzopE9LbrPZGFg4gAsvm57U8/Z2fTZAWGwWLPYUgo36OqcPzOn2w+sPHNNy6MjYQw4kJQndc2tr3FRWVLFqxVqGj9yL7JysTq8+gF2N8kFvPSKC2eZISk+inip3WAGrFn7fJK3/3oWdHhwA/PVevLUeqkvKyCrMJSXNQUoS11boCpUVVewoLaP4l03se8BIMrPTSU3tGR1e2tNnA0RKqp3xl5zE108sIOD148h0cshFJ2JP795v7LARe3Lm9FN5/cV3UUox4YiDOeGUozt9ehCfz8cH73zMHbP/1JB24+1XM+Wck2Pu5dJRKhiges3PqMgUzCabnfQkTC/SU2XvMYCig0dQ/N+VoGDgr/Zk4P5DOv28QV+AX75awdLXPm9IG3feJAYfvDfmXtoNu6qymofvf5JXnn8bMEq7jz57HwdP6B2l3T7bBgEQCoTw13kIBYKYU6zY0hw9os6ytsZNXV09KqxwpNqTUse7fVsZpx01g/q6XSO5HQ477372PLkxdmHsCKUUnm1b8G7f2iTdWbgHtuzOO29P53N7CPoDoMCSYsHWCQvaN+epcrNgzj8INVoIyuqwccKt53X7qd07amtJKcePP6dJ2pChRTz14p/JiWPG366k2yBaYbaae+QHNy3dtVtVO+FQCFTYGEMRY8kjHA43CQ5gzF8VCiV2BasWIoPVWuQn0DemQfDVeTGZTVjt8VUh2lwObCS3s0U4HG4SHAACXl8yZoHpMtFW+SvfUdHtp+yJVfe/XNYSRilFyO+jvqSY2g1r8ZXviHnlLIfdzoQjDmqSdvCEMdg7uX5ZTCbs/VrOvJqS2XtnVAXw13nZuGQVi//+Nt8+8xE1pZVNxhd0R5YUK/2GFjRJG7jfnlhSeu91aFq6q8WUPVPOOSkpbXPJ0KermPqacCBA9ZoVDXX5AI68Auy5eTGNxi7bUcGz81/hm8Xfc9D4UZx/yTkxr62wO8LBIEFPPd7tWxERHAMKMNntRk+fXmrjt6v4z5O7hv9YbFZOvG1mty/xeqrrWPXREnasKWHAPkUMO/pA7Om9d04jX209W0u28eQTL7FuzQaOPnYCJ558NAMGD8Bs7RmBMWErynVnOkC0L1hfR83an5ukmawppA8dEfMcP35/gDp3HanO1KRPbBgOBkHoEat87Q5fnZfFf3+bsnVbmqSPn3UKhQcO7aJcxS4YCBLyBrA4UpK24mFXqSmt4OP7XmHg2GFYM1Kp21hG+dotHDdnBo6MnhEYdRuEBoCYzShnBn6rg0AgRIpZcBKAOHpApaRYSYljNbdE6s0TEjZmMpuwZ7RsVI5l7e9ECPgCBDw+VDCEOcUad88+i9WCpYdcPe8uc4oFf52XDZ/tmk80bUBWt150LB59413UAPD4Anz235XcM/dveL0+hgwt4pF//pE0i+4u2p1Y7SnsN3kCpcuLCfqM6sB+Qwtw9e/8wOz3+Cj+ZiVLX/uccDBERkE/Jl45mdSs2Kb77musthT2nLg/678wAoSYhNHnHIUtrfvOxhAPXcXUh5Ru2cYJE6Y2TIkMcNSkCdz155v03PfdTDgUwlfroXzDNuxpDlz9M5NSgnCXVbPg5n80SRs8bm/GnHtM3D2p+gqf24Onyk3ttkqy9xiAzeVIymJaiaKrmDQAtpWWNQkOAMv/twqvx6sDRDdjMhtdsAsPTG6jdLQJKys2lBL0B3SAaIXN5cDmcpBZGN+iZT2BDhB9SP7A/lhTrAQaLQd58GFjSHV279Hju8tT7aZ0eTHe6joGjR2OPT0VSzdfOXB3hMNhyrZX8PFHXxIMBjn2hMPp1z8HSwwNxmm5mYhJUOFdNQt5Iwfr4NANeeo9bN9WxsIFnzGwcAAHjx9NToJ7Feoqpj7E6/Hyw7c/Mefae9i+rYwJRxzE7fffQG4PGfHZEZ7qOj7506u4txtTopvMJo65YSpZg1qOregttpeWcfaJF1IZWc/Z6UrlXx/9g4EFA9rdN+gLsH3VJpY8twhvbT0D99uTMTOO6TE9cvqSH79bxgVnXdVQKzBsxJ48/vwDca9roauYNADsDjsHTRjNS+8+TjissNltZMS41nBPVbVpe0NwAGMdkOXv/oeDLji+104i9+G7HzcEB4A6dz0v/fMNrrlxVru9ayw2KwP23YNJN50LSmFOsZCSau/sLGtxqqmu5cF7n2hSZbxm5Xo2b9yS0IWPdIDoIuFgCF+dFzFJ0rovgjGZWL9eXGJoLhRouXB9KBCiN8//4PW2nP7B6/WhlIqp+6XJbNIlhiQKeP0EfQHMVnPMwTgcDuP3tZxuxu9P7BQ0eqqNLuBze1i16DsW3f0in/3ldbat2kTAF9uUF1p8cobkt+hyOPL4sb36qvjk0yc1mWHXYrUw/YIze8RElH2Np8rNkucW8dEdz/H1/Pdxl1W3vxOQmZXBJVfOaJKWNyCXIXsVJTR/ug0iyZRSbPh6Bd8+s7AhTUzCibdfgKtf58/K2teEQ2G81W7WfPIjnuo6hh09irTcDFKcvaOfejQBf4DSrdt5CdhnuwAADIJJREFUZv4rBPwBZl4ylfzCvE6fll2Lj6/Oy3/mL2Dbzxsb0lz9Mzn62rNjmp6ktsbN2tW/8NI/32BQUQG/njGZ/gPin+FYt0F0IwGPn+Jvmk53ocKKHas36wDRCUxmE6nZ6ex/+mGocLjHzI+zO6wpVgYVFXD9rVcZ0333gefcE4UDwSbBAcC9vYqgv2W1aDRp6S5Gjd2f/Q4Ygdls7pQSoi5zJpnZaiY9v2UbQFpe4hqWtJZMZlOfCA6NWSx9Z8qLHkkER1bTcS7mFEvc81dZrdZOqz7UASLJzFYLI44fizMnvSGtcPSwpEyjoGla92FLc3DwBcdjthoBQUzCmOlHY03tPlWBug2ii3ir6/C5PZhTLFgdNmyu3lsnrmladEF/kEC9F29NPbY0B9ZUG9YkD+LUbRDdkD3Dib2LuhKqsCIcDvf6qZi1jlNKgVIxrROidZwlxYIlxdVt1/nQAaKP8VTX8cviZVSXlDNkwr5kFeVhc/beLp9a/MIBP97yHYR9Xmw5uZjtqX1mqnWtKf2u9yHemjo+feA1ardVArDpu9WMnXEse4zfR/eR1wBj1cGadSsJRwZc+asrcQ7ek5SM3rPGgRY7/avQh3hr6huCw04rP1qC3+3pohxp3U3I72sIDjt5t29FBWPreqn1LkkLECKSLSJviEidiBSLyPRWtttPRD4UkTIR6R0t6N2EmFu+3WarJa4V5bTeLWqbg5hAf0T6pGSWIB4G/EAecC7wiIjsG2W7APAKcFES89Yn2FwOcvbKb5K2/+kTkjoXlNa9mSxWzI6mn4fU/AJMetXBPikp3VxFxAlUAvsppVZH0p4FSpRSN7Syz1BgjVIqpmuXntbNtat4a+opW7eFmq3lFIwaSmpmGlaHnutf2yUcCBCoqyXs8xptD9YUTGbd46236g7dXIcDoZ3BIWIpcESSzq9F2NNTKRw1FEYN7eqsaN2UyWrFlpnYhWe0nilZVUwuoPk0hdXAbi1GICKXisgSEVmyY8eO3TmUpmma1kyyAoQbSG+Wlg7U7s5BlVKPK6XGKqXG5ub2vvVgNU3TulKyAsRqwCIiwxqlHQAsT9L5NU3TtDglJUAopeqA14HbRcQpIhOAyf+/vXuPlaMs4zj+/UGlV24FqdByWhExtJL2DxBIBRQ0rYlE1KiERmlFSDUaLdGACUjVipWgJHINxtoAAaoBBTE1UWsjJXiBxktaU6DYHkppuRQop7QQ4PGPd44s27d193Rnttv5fZJNzsy+s/s8Z+fMc+ad2fcFbm1uq2QEcECxPELS3jN6lZlZTVR5m+uXgJHA08AdwBcjYpWkPkkDkvqKdhOB7bx5drEdWFNhnGZmRoVDbUTEFuCczPp+0kXsweV1+Gs5ZmZd56E2zMwsywXCzMyyXCDMzCzLBcLMzLJcIMzMLMsFwszMslwgzMwsywXCzMyyXCDMzCzLBcLMzLJcIMzMLMsFwszMslwgzMwsywXCzMyyXCDMzCzLBcLMzLJcIMzMLMsFwszMslwgzMwsywXCzMyyXCDMzCzLBcLMzLJcIMzMLMsFwszMslwgzMwsywXCzMyyXCDMzCyrsgIhaaykX0raJmm9pPN203aepE2SXpS0SNLwquI0M7OkyjOI64FXgXHALOBGSVOaG0maAVwKnAVMAo4Bvl1dmGZmBhUVCEmjgU8Cl0fEQESsAO4FPptpfj7w04hYFRHPA98FZlcRp5mZvWlYRe9zHPB6RDzSsO4fwBmZtlOAe5rajZN0WEQ819hQ0kXARcXigKQ1Q4zvcODZIW7bq5xzPTjnetiTnCfu6omqCsQY4MWmdS8CB7bQdvDnA4G3FIiIuBm4eU+Dk/RQRJy4p6/TS5xzPTjneigr56quQQwABzWtOwh4qYW2gz/n2pqZWUmqKhCPAMMkvbth3VRgVabtquK5xnabm7uXzMysXJUUiIjYBtwNfEfSaEnTgY8Bt2aa3wJcIGmypEOBy4DFJYe4x91UPcg514NzrodSclZElPG6O7+RNBZYBHyYdC3h0oi4XVIfsBqYHBH9RduLgUuAkcBdwNyIeKWSQM3MDKiwQJiZWW/xUBtmZpblAmFmZlm1KRB1HAuq1ZwlnS/pYUlbJW2QdJWkqr4j0zHtfMYN2yyTFL2YL7S9Xx8j6T5JL0l6VtJVVcbaKW3s15K0QNKTxd/y8tzwPr1A0pclPSTpFUmL/0/bjh2/alMgqOdYUC3lDIwCvkb6NubJpNy/XlWQHdRqvgBImkV1XxYtS6v79QHA74BlwDuACcBtFcbZSa1+zp8CPg+cBowFHiR/52Qv2AgsIN3os0sdP35FxD7/AEaTdqjjGtbdCizMtL0duLJh+SxgU7dzKDPnzLYXA7/udg5l5gscTPp+zilAAMO6nUOZOZOGpLm/2zFXnPMlwM8blqcAO7qdwx7mvwBYvJvnO3r8qssZxK7Ggsr91zGleK6x3ThJh5UYXxnaybnZ6eS/xLg3azffK4EbgU1lB1aidnI+BVgnaWnRvbRc0gmVRNlZ7eR8J3CspOMkvY00EOhvK4ixmzp6/KpLgejUWFC9pJ2c/0fSHOBE4OqS4ipLy/lKOhGYDlxbQVxlauczngCcC/wYOAr4DXBP0fXUS9rJ+SngfmANsJ3U5TSv1Oi6r6PHr7oUiDqOBdVOzgBIOgdYCHwkInptNMyW8pW0H3AD8NWIeK2i2MrSzme8HVgREUsj4lXSPwCHAceXG2LHtZPzFcBJwNHACFJf/DJJo0qNsLs6evyqS4Go41hQ7eSMpJnAT4CzI+JfFcTXaa3mexDpDGmJpE3A34r1GySdVn6YHdXOZ/xP0rWWXtdOzlOBJRGxISJei4jFwKHA5PLD7JrOHr+6fdGlwos7dwJ3kC5yTSedek3JtJtJ6peeTNqZltHChd298dFGzmeShj85vdsxl50vINJdPIOPk0gHzvHAAd3OocTP+D3Ay8CHgP1JXS1r9/GcrwBWkO522o80Qdk24JBu5zCEnIeRzoK+T7ooP4LMjRWdPn51PfEKf8FjgV8VO0g/cF6xvo90WtbX0PZiYDOwFfgZMLzb8ZeZM/BH4LVi3eBjabfjL/MzbthmEj16F1O7OQOfAB4r9uvluYNqLzza2K9HkG6JfarIeSUws9vxDzHn+cV+2viYX/bxy2MxmZlZVl2uQZiZWZtcIMzMLMsFwszMslwgzMwsywXCzMyyXCDMzCzLBcKsRJI+IGnDHmx/k6TLOxmTWat6fSx8s32GpNnAFyLi/YPrImJu9yKyuvMZhFmLcrPO9epMdGatcIGw2pB0tKS7JT0j6TlJ10naT9JlxdSVT0u6RdLBRftJxXSkF0jqJ40EOlvSA5KukbQFmC9puKSrJfVL2lx0C43cRQyXSlpbTPu5WtLHi/XHAzcBp0oakPRCsX6xpAUN218o6TFJWyTdK+mohudC0lxJj0p6XtL1klTeb9T2dS4QVguS9gfuA9aTxl8aTxr0bXbx+CBpesYxwHVNm59BGhZ7RrF8MvA4cATwPeAHpIlspgHHFq/9rV2EspY0BebBpOGnb5N0ZET8G5gLPBgRYyLikEwOZ5IGa/s0cGSRy51NzT5KGoBwatFuBmZD5AJhdfE+0kQ534iIbRGxIyJWkOY0/lFEPB4RA8A3gXObuo7mF9tsL5Y3RsS1keaT2AFcCMyLiC0R8RJptrpzc0FExC8iYmNEvBERS4BHi9haMQtYFBErI+KVItZTJU1qaLMwIl6IiH7SIIzTWnxts524/9Tq4mhgfew8SdBRpP/EB60n/V2Ma1j3RNM2jctvB0YBDzf05og0pPZOJH2ONNrmpGLVGODwljJIsa4cXIiIAUnPkc5Y1hWrG6dQfbl4fbMhcYGwungC6JM0rKlIbAQmNiz3kYY+30yaphN2nmincflZ0mxtUyLiyd0FIGkiaVKms0hdSa9L+jupoOTep9lbYpU0mjQr3G7f12yo3MVkdfFX0rwACyWNljRC0nTSxDPzJL1T0hhS99CSzJlGVkS8QTroXyPpCABJ4yXl+v5Hk4rAM0W7OcB7G57fDEzYzTzRtwNzJE2TNLyI9S8Rsa6VWM3a5QJhtRARrwNnky4i9wMbgM8Ai0gzdP0J+A/pmsJX2nz5S0gT8fxZ0lbg96QZ3JpjWA38EHiQVAxOAB5oaLKMNGXkJkk7zQkeEX8ALgfuIhW7d7GLax1mneAJg8zMLMtnEGZmluUCYWZmWS4QZmaW5QJhZmZZLhBmZpblAmFmZlkuEGZmluUCYWZmWf8FUbQoNCr55SsAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "adf = df[df[\"majority-mean-utility\"] == 0]\n", + "ax = sns.scatterplot(x=\"r\", \n", + " y=\"wellfare-loss\", \n", + " hue = \"majority-utility-stdev\",\n", + " data = adf)\n", + "ax.set(ylim= (0, 0.1),\n", + " xlabel = \"correlation\")\n", + "plt.title(\"QV wellfare-loss vs. correlation; $\\mu=0$\")\n", + "plt.show()\n", + "\n", + "adf2 = df2[df2[\"majority-mean-utility\"] == 0]\n", + "ax = sns.scatterplot(x=\"r\", \n", + " y=\"wellfare-loss\", \n", + " hue = \"majority-utility-stdev\",\n", + " data = adf2)\n", + "ax.set(ylim= (0, 0.6),\n", + " xlabel = \"correlation\")\n", + "plt.title(\"1p1v wellfare-loss vs. correlation; $\\mu=0$\")\n", + "plt.show()\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.3" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/data-analysis/analysis-future-work/future-work-data/1p1v r-and-pmp-table.csv b/data-analysis/analysis-future-work/future-work-data/1p1v r-and-pmp-table.csv new file mode 100644 index 0000000..fc9374f --- /dev/null +++ b/data-analysis/analysis-future-work/future-work-data/1p1v r-and-pmp-table.csv @@ -0,0 +1,190 @@ +[run number],number-of-voters,majority-utility-stdev,majority-mean-utility,payoff-include-votes-cost?,behavior-under-qv,calibration,poll-response-rate,variance-of-pmp,r,voting-mechanism,limit-votes?,minority-fraction,[step],mean payoff-sign-list +6,1001,1,0,FALSE,rational,manual,1,0.01,0.25,1p1v,FALSE,0,100,0.75 +3,1001,1,0,FALSE,rational,manual,1,0.01,0.1,1p1v,FALSE,0,100,0.75 +2,1001,1,0,FALSE,rational,manual,1,0.01,0.05,1p1v,FALSE,0,100,0.76 +7,1001,1,0,FALSE,rational,manual,1,0.01,0.3,1p1v,FALSE,0,100,0.78 +8,1001,1,0,FALSE,rational,manual,1,0.01,0.35,1p1v,FALSE,0,100,0.83 +4,1001,1,0,FALSE,rational,manual,1,0.01,0.15,1p1v,FALSE,0,100,0.8 +5,1001,1,0,FALSE,rational,manual,1,0.01,0.2,1p1v,FALSE,0,100,0.84 +1,1001,1,0,FALSE,rational,manual,1,0.01,0,1p1v,FALSE,0,100,0.78 +9,1001,1,0,FALSE,rational,manual,1,0.01,0.4,1p1v,FALSE,0,100,0.86 +10,1001,1,0,FALSE,rational,manual,1,0.01,0.45,1p1v,FALSE,0,100,0.8 +11,1001,1,0,FALSE,rational,manual,1,0.01,0.5,1p1v,FALSE,0,100,0.74 +12,1001,1,0,FALSE,rational,manual,1,0.01,0.55,1p1v,FALSE,0,100,0.81 +15,1001,1,0,FALSE,rational,manual,1,0.01,0.7,1p1v,FALSE,0,100,0.76 +13,1001,1,0,FALSE,rational,manual,1,0.01,0.6,1p1v,FALSE,0,100,0.82 +14,1001,1,0,FALSE,rational,manual,1,0.01,0.65,1p1v,FALSE,0,100,0.89 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prop8-mean=0,0.01,1001,QV,0.5,-0.7,FALSE,1000,0.892 +49,FALSE,rational,2. prop8-mean=0,0.01,1001,QV,0.5,-0.65,FALSE,1000,0.894 +50,FALSE,rational,2. prop8-mean=0,0.01,1001,QV,0.5,-0.6,FALSE,1000,0.916 +51,FALSE,rational,2. prop8-mean=0,0.01,1001,QV,0.5,-0.55,FALSE,1000,0.928 +52,FALSE,rational,2. prop8-mean=0,0.01,1001,QV,0.5,-0.5,FALSE,1000,0.931 +53,FALSE,rational,2. prop8-mean=0,0.01,1001,QV,0.5,-0.45,FALSE,1000,0.94 +54,FALSE,rational,2. prop8-mean=0,0.01,1001,QV,0.5,-0.4,FALSE,1000,0.937 +55,FALSE,rational,2. prop8-mean=0,0.01,1001,QV,0.5,-0.35,FALSE,1000,0.936 +56,FALSE,rational,2. prop8-mean=0,0.01,1001,QV,0.5,-0.3,FALSE,1000,0.949 +57,FALSE,rational,2. prop8-mean=0,0.01,1001,QV,0.5,-0.25,FALSE,1000,0.953 +58,FALSE,rational,2. prop8-mean=0,0.01,1001,QV,0.5,-0.2,FALSE,1000,0.953 +59,FALSE,rational,2. prop8-mean=0,0.01,1001,QV,0.5,-0.15,FALSE,1000,0.926 +60,FALSE,rational,2. prop8-mean=0,0.01,1001,QV,0.5,-0.1,FALSE,1000,0.946 +61,FALSE,rational,2. prop8-mean=0,0.01,1001,QV,0.5,-0.05,FALSE,1000,0.951 +63,FALSE,rational,2. prop8-mean=0,0.01,1001,QV,0.5,0.05,FALSE,1000,0.948 +62,FALSE,rational,2. prop8-mean=0,0.01,1001,QV,0.5,0,FALSE,1000,0.943 +65,FALSE,rational,2. prop8-mean=0,0.01,1001,QV,0.5,0.15,FALSE,1000,0.953 +64,FALSE,rational,2. prop8-mean=0,0.01,1001,QV,0.5,0.1,FALSE,1000,0.952 +66,FALSE,rational,2. prop8-mean=0,0.01,1001,QV,0.5,0.2,FALSE,1000,0.957 +67,FALSE,rational,2. prop8-mean=0,0.01,1001,QV,0.5,0.25,FALSE,1000,0.952 +68,FALSE,rational,2. prop8-mean=0,0.01,1001,QV,0.5,0.3,FALSE,1000,0.943 +69,FALSE,rational,2. prop8-mean=0,0.01,1001,QV,0.5,0.35,FALSE,1000,0.954 +70,FALSE,rational,2. prop8-mean=0,0.01,1001,QV,0.5,0.4,FALSE,1000,0.957 +71,FALSE,rational,2. prop8-mean=0,0.01,1001,QV,0.5,0.45,FALSE,1000,0.952 +72,FALSE,rational,2. prop8-mean=0,0.01,1001,QV,0.5,0.5,FALSE,1000,0.961 +74,FALSE,rational,2. prop8-mean=0,0.01,1001,QV,0.5,0.6,FALSE,1000,0.954 +75,FALSE,rational,2. prop8-mean=0,0.01,1001,QV,0.5,0.65,FALSE,1000,0.943 +76,FALSE,rational,2. prop8-mean=0,0.01,1001,QV,0.5,0.7,FALSE,1000,0.939 +73,FALSE,rational,2. prop8-mean=0,0.01,1001,QV,0.5,0.55,FALSE,1000,0.961 +77,FALSE,rational,2. prop8-mean=0,0.01,1001,QV,0.5,0.75,FALSE,1000,0.945 +78,FALSE,rational,2. prop8-mean=0,0.01,1001,QV,0.5,0.8,FALSE,1000,0.934 +79,FALSE,rational,2. prop8-mean=0,0.01,1001,QV,0.5,0.85,FALSE,1000,0.95 +81,FALSE,rational,2. prop8-mean=0,0.01,1001,QV,0.5,0.95,FALSE,1000,0.93 +80,FALSE,rational,2. prop8-mean=0,0.01,1001,QV,0.5,0.9,FALSE,1000,0.934 +82,FALSE,rational,2. prop8-mean=0,0.01,1001,QV,0.5,1,FALSE,1000,0.933 diff --git a/data-analysis/analysis-future-work/future-work-data/QV passionate-minority-pmp-correlation-table (0.04 mean) b/data-analysis/analysis-future-work/future-work-data/QV passionate-minority-pmp-correlation-table (0.04 mean) new file mode 100644 index 0000000..9b39f05 --- /dev/null +++ b/data-analysis/analysis-future-work/future-work-data/QV passionate-minority-pmp-correlation-table (0.04 mean) @@ -0,0 +1,411 @@ +[run number] payoff-include-votes-cost? majority-mean-utility majority-utility-stdev minority-mean-utility minority-utility-stdev minority-fraction behavior-under-qv calibration variance-of-pmp number-of-voters voting-mechanism marginal-pivotality utility-pmp-correlation limit-votes? [step] mean payoff-sign-list +4 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.129 0.1328 +5 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.13 0.1328 +8 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.136 0.1328 +3 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.135 0.1328 +7 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.142 0.1328 +2 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.124 0.1328 +6 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.139 0.1328 +1 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.123 0.1328 +10 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.127 0.1328 +9 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.143 0.1328 +12 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.95 FALSE 1000 0.14 0.1276 +13 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.95 FALSE 1000 0.108 0.1276 +11 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.95 FALSE 1000 0.11 0.1276 +14 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.95 FALSE 1000 0.148 0.1276 +15 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.95 FALSE 1000 0.137 0.1276 +16 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.95 FALSE 1000 0.136 0.1276 +17 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.95 FALSE 1000 0.141 0.1276 +18 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.95 FALSE 1000 0.126 0.1276 +21 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.9 FALSE 1000 0.114 0.1276 +19 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.95 FALSE 1000 0.116 0.1276 +20 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.95 FALSE 1000 0.135 0.1306 +22 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.9 FALSE 1000 0.136 0.1306 +23 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.9 FALSE 1000 0.142 0.1306 +24 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.9 FALSE 1000 0.121 0.1306 +25 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.9 FALSE 1000 0.14 0.1306 +26 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.9 FALSE 1000 0.114 0.1306 +27 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.9 FALSE 1000 0.112 0.1306 +29 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.9 FALSE 1000 0.141 0.1306 +28 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.9 FALSE 1000 0.122 0.1306 +30 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.9 FALSE 1000 0.143 0.1306 +31 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.85 FALSE 1000 0.148 0.1307 +32 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.85 FALSE 1000 0.119 0.1307 +33 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.85 FALSE 1000 0.121 0.1307 +34 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.85 FALSE 1000 0.116 0.1307 +35 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.85 FALSE 1000 0.129 0.1307 +37 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.85 FALSE 1000 0.128 0.1307 +36 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.85 FALSE 1000 0.148 0.1307 +38 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.85 FALSE 1000 0.128 0.1307 +39 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.85 FALSE 1000 0.117 0.1307 +40 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.85 FALSE 1000 0.153 0.1307 +42 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.8 FALSE 1000 0.123 0.1249 +43 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.8 FALSE 1000 0.131 0.1249 +41 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.8 FALSE 1000 0.133 0.1249 +44 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.8 FALSE 1000 0.13 0.1249 +45 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.8 FALSE 1000 0.105 0.1249 +46 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.8 FALSE 1000 0.119 0.1249 +47 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.8 FALSE 1000 0.138 0.1249 +49 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.8 FALSE 1000 0.101 0.1249 +50 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.8 FALSE 1000 0.126 0.1249 +51 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.75 FALSE 1000 0.143 0.1249 +52 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.75 FALSE 1000 0.126 0.1332 +53 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.75 FALSE 1000 0.116 0.1332 +48 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.8 FALSE 1000 0.144 0.1332 +54 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.75 FALSE 1000 0.134 0.1332 +55 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.75 FALSE 1000 0.135 0.1332 +57 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.75 FALSE 1000 0.142 0.1332 +56 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.75 FALSE 1000 0.136 0.1332 +58 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.75 FALSE 1000 0.131 0.1332 +59 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.75 FALSE 1000 0.143 0.1332 +60 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.75 FALSE 1000 0.125 0.1332 +62 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.7 FALSE 1000 0.119 0.1323 +63 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.7 FALSE 1000 0.123 0.1323 +61 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.7 FALSE 1000 0.125 0.1323 +66 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.7 FALSE 1000 0.147 0.1323 +64 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.7 FALSE 1000 0.145 0.1323 +65 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.7 FALSE 1000 0.149 0.1323 +67 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.7 FALSE 1000 0.15 0.1323 +68 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.7 FALSE 1000 0.144 0.1323 +69 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.7 FALSE 1000 0.112 0.1323 +70 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.7 FALSE 1000 0.109 0.1323 +71 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.65 FALSE 1000 0.143 0.1307 +72 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.65 FALSE 1000 0.121 0.1307 +73 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.65 FALSE 1000 0.151 0.1307 +74 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.65 FALSE 1000 0.12 0.1307 +75 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.65 FALSE 1000 0.12 0.1307 +76 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.65 FALSE 1000 0.129 0.1307 +77 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.65 FALSE 1000 0.125 0.1307 +78 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.65 FALSE 1000 0.127 0.1307 +79 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.65 FALSE 1000 0.142 0.1307 +80 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.65 FALSE 1000 0.129 0.1307 +81 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.6 FALSE 1000 0.139 0.1282 +82 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.6 FALSE 1000 0.13 0.1282 +83 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.6 FALSE 1000 0.125 0.1282 +84 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.6 FALSE 1000 0.125 0.1282 +85 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.6 FALSE 1000 0.122 0.1282 +86 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.6 FALSE 1000 0.14 0.1282 +87 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.6 FALSE 1000 0.129 0.1282 +88 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.6 FALSE 1000 0.121 0.1282 +89 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.6 FALSE 1000 0.135 0.1282 +90 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.6 FALSE 1000 0.116 0.1282 +91 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.55 FALSE 1000 0.13 0.1288 +92 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.55 FALSE 1000 0.133 0.1288 +93 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.55 FALSE 1000 0.131 0.1288 +94 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.55 FALSE 1000 0.119 0.1288 +95 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.55 FALSE 1000 0.129 0.1288 +96 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.55 FALSE 1000 0.136 0.1288 +97 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.55 FALSE 1000 0.139 0.1288 +98 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.55 FALSE 1000 0.127 0.1288 +99 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.55 FALSE 1000 0.127 0.1288 +100 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.55 FALSE 1000 0.117 0.1288 +101 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.5 FALSE 1000 0.113 0.1262 +102 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.5 FALSE 1000 0.135 0.1262 +103 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.5 FALSE 1000 0.113 0.1262 +104 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.5 FALSE 1000 0.124 0.1262 +105 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.5 FALSE 1000 0.11 0.1262 +106 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.5 FALSE 1000 0.127 0.1262 +107 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.5 FALSE 1000 0.13 0.1262 +108 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.5 FALSE 1000 0.138 0.1262 +109 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.5 FALSE 1000 0.128 0.1262 +110 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.5 FALSE 1000 0.144 0.1262 +112 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.45 FALSE 1000 0.115 0.1273 +113 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.45 FALSE 1000 0.137 0.1273 +114 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.45 FALSE 1000 0.141 0.1273 +111 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.45 FALSE 1000 0.14 0.1273 +115 FALSE -4 1 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6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.7 FALSE 1000 0.891 0.8762 +344 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.7 FALSE 1000 0.875 0.8762 +345 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.7 FALSE 1000 0.883 0.8762 +346 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.7 FALSE 1000 0.871 0.8762 +349 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.7 FALSE 1000 0.881 0.8762 +348 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.7 FALSE 1000 0.869 0.8762 +347 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.7 FALSE 1000 0.868 0.8762 +350 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.7 FALSE 1000 0.869 0.8762 +352 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.75 FALSE 1000 0.875 0.8782 +353 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.75 FALSE 1000 0.861 0.8782 +351 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.75 FALSE 1000 0.883 0.8782 +354 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.75 FALSE 1000 0.905 0.8782 +355 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.75 FALSE 1000 0.87 0.8782 +356 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.75 FALSE 1000 0.877 0.8782 +359 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.75 FALSE 1000 0.866 0.8782 +360 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.75 FALSE 1000 0.899 0.8782 +358 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.75 FALSE 1000 0.873 0.8782 +362 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.8 FALSE 1000 0.873 0.8782 +361 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.8 FALSE 1000 0.868 0.876 +357 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.75 FALSE 1000 0.877 0.876 +363 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.8 FALSE 1000 0.874 0.876 +366 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.8 FALSE 1000 0.873 0.876 +365 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.8 FALSE 1000 0.88 0.876 +364 FALSE 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QV 0.5 0.85 FALSE 1000 0.869 0.8714 +379 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.85 FALSE 1000 0.864 0.8714 +378 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.85 FALSE 1000 0.86 0.8714 +380 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.85 FALSE 1000 0.876 0.8714 +381 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.9 FALSE 1000 0.864 0.8699 +382 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.9 FALSE 1000 0.853 0.8699 +383 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.9 FALSE 1000 0.872 0.8699 +384 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.9 FALSE 1000 0.866 0.8699 +385 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.9 FALSE 1000 0.872 0.8699 +386 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.9 FALSE 1000 0.877 0.8699 +388 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.9 FALSE 1000 0.879 0.8699 +389 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.9 FALSE 1000 0.873 0.8699 +390 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.9 FALSE 1000 0.864 0.8699 +387 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.9 FALSE 1000 0.879 0.8699 +391 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.95 FALSE 1000 0.881 0.8725 +392 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.95 FALSE 1000 0.858 0.8725 +393 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.95 FALSE 1000 0.886 0.8725 +394 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.95 FALSE 1000 0.863 0.8725 +395 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.95 FALSE 1000 0.86 0.8725 +396 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.95 FALSE 1000 0.859 0.8725 +397 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.95 FALSE 1000 0.892 0.8725 +398 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.95 FALSE 1000 0.872 0.8725 +399 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.95 FALSE 1000 0.875 0.8725 +400 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 0.95 FALSE 1000 0.879 0.8725 +401 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 1 FALSE 1000 0.886 0.866 +402 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 1 FALSE 1000 0.866 0.866 +403 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 1 FALSE 1000 0.868 0.866 +404 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 1 FALSE 1000 0.856 0.866 +405 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 1 FALSE 1000 0.844 0.866 +407 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 1 FALSE 1000 0.88 0.866 +406 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 1 FALSE 1000 0.87 0.866 +408 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 1 FALSE 1000 0.867 0.866 +410 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 1 FALSE 1000 0.861 0.866 +409 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 1 FALSE 1000 0.862 0.866 diff --git a/data-analysis/analysis-future-work/future-work-data/QV passionate-minority-pmp-correlation-table (0.04 mean) 2 b/data-analysis/analysis-future-work/future-work-data/QV passionate-minority-pmp-correlation-table (0.04 mean) 2 new file mode 100644 index 0000000..f664fdf --- /dev/null +++ b/data-analysis/analysis-future-work/future-work-data/QV passionate-minority-pmp-correlation-table (0.04 mean) 2 @@ -0,0 +1,2101 @@ +[run number] payoff-include-votes-cost? majority-mean-utility majority-utility-stdev minority-mean-utility minority-utility-stdev minority-fraction behavior-under-qv calibration variance-of-pmp number-of-voters voting-mechanism marginal-pivotality utility-pmp-correlation limit-votes? [step] mean payoff-sign-list +2 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.141 +6 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.144 +3 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.133 +4 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.144 +5 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.145 +8 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.129 +7 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.141 +1 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.132 +9 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.118 +10 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.124 +11 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.136 +15 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.134 +14 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.134 +13 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.151 +12 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.138 +16 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.132 +17 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.127 +18 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.117 +19 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.132 +20 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.141 +21 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.129 +23 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.136 +22 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.133 +24 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.129 +25 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.132 +26 FALSE -4 1 6.1 1 0.4 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1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.121 +40 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.125 +41 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.128 +42 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.12 +43 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.126 +44 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.129 +46 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.136 +45 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.121 +47 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.142 +48 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.118 +49 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.116 +50 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.122 +51 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.118 +52 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.142 +53 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.125 +54 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.119 +55 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.131 +57 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.118 +58 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.112 +56 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.138 +59 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.137 +60 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.132 +61 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.118 +62 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.145 +63 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.114 +64 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.143 +65 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.125 +67 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.12 +66 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.124 +68 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.13 +69 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.125 +70 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.128 +71 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.148 +72 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.137 +73 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.131 +74 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.146 +75 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.145 +76 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.129 +77 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.111 +78 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.124 +79 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.13 +80 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.121 +81 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.131 +82 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.127 +84 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.158 +85 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.131 +86 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.133 +87 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.122 +83 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.128 +88 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.128 +89 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.117 +90 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.142 +91 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.151 +93 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.138 +92 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.146 +94 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.133 +95 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.128 +96 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.129 +97 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.111 +98 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.149 +99 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.12 +100 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0.123 +101 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.9 FALSE 1000 0.135 +102 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.9 FALSE 1000 0.12 +103 FALSE -4 1 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1 0.4 rational manual 0.01 1001 QV 0.5 -0.29 FALSE 1000 0.133 -0.05 0.04 +34 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.28 FALSE 1000 0.123 -0.05 0.04 +35 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.27 FALSE 1000 0.129 -0.05 0.04 +36 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.26 FALSE 1000 0.12 -0.05 0.04 +37 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.25 FALSE 1000 0.126 -0.05 0.04 +38 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.24 FALSE 1000 0.143 -0.05 0.04 +39 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.23 FALSE 1000 0.13 -0.05 0.04 +40 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.22 FALSE 1000 0.116 -0.05 0.04 +41 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.21 FALSE 1000 0.147 -0.05 0.04 +42 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.2 FALSE 1000 0.143 -0.05 0.04 +43 FALSE -4 1 6.1 1 0.4 rational manual 0.01 1001 QV 0.5 -0.19 FALSE 1000 0.129 -0.05 0.04 +44 FALSE 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manual 0.01 1001 QV 0.5 -0.2 FALSE 1000 0.014 -0.13 0.16 +229 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.19 FALSE 1000 0.038 -0.13 0.16 +230 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.18 FALSE 1000 0.056 -0.13 0.16 +231 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.17 FALSE 1000 0.142 -0.13 0.16 +232 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.16 FALSE 1000 0.223 -0.13 0.16 +233 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.15 FALSE 1000 0.328 -0.13 0.16 +234 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.14 FALSE 1000 0.431 -0.13 0.16 +235 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.13 FALSE 1000 0.551 -0.13 0.16 +236 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.12 FALSE 1000 0.664 -0.13 0.16 +237 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.11 FALSE 1000 0.765 -0.13 0.16 +238 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.1 FALSE 1000 0.854 -0.13 0.16 +239 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.09 FALSE 1000 0.895 -0.13 0.16 +240 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.08 FALSE 1000 0.939 -0.13 0.16 +241 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.07 FALSE 1000 0.966 -0.13 0.16 +242 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.06 FALSE 1000 0.989 -0.13 0.16 +243 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.05 FALSE 1000 0.99 -0.13 0.16 +244 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.04 FALSE 1000 0.997 -0.13 0.16 +245 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.03 FALSE 1000 0.994 -0.13 0.16 +246 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.02 FALSE 1000 1 -0.13 0.16 +247 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.01 FALSE 1000 0.999 -0.13 0.16 +248 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 0 FALSE 1000 0.997 -0.13 0.16 diff --git a/data-analysis/analysis-future-work/future-work-data/QV passionate-minority-pmp-correlation-table (tipping) 2 b/data-analysis/analysis-future-work/future-work-data/QV passionate-minority-pmp-correlation-table (tipping) 2 new file mode 100644 index 0000000..7bd0db1 --- /dev/null +++ b/data-analysis/analysis-future-work/future-work-data/QV passionate-minority-pmp-correlation-table (tipping) 2 @@ -0,0 +1,295 @@ +[run number] payoff-include-votes-cost? majority-mean-utility majority-utility-stdev minority-mean-utility minority-utility-stdev minority-fraction behavior-under-qv calibration variance-of-pmp number-of-voters voting-mechanism marginal-pivotality utility-pmp-correlation limit-votes? [step] mean payoff-sign-list tipping-point mean-utility + 0 0 + -0.05 0.02 + -0.05 0.04 + -0.06 0.06 + -0.08 0.08 + -0.09 0.1 +1 FALSE -4 1 6.3 1 0.4 rational manual 0.01 1001 QV 0.5 -0.35 FALSE 1000 0 -0.11 0.12 +2 FALSE -4 1 6.3 1 0.4 rational manual 0.01 1001 QV 0.5 -0.34 FALSE 1000 0 -0.11 0.12 +3 FALSE -4 1 6.3 1 0.4 rational manual 0.01 1001 QV 0.5 -0.33 FALSE 1000 0 -0.11 0.12 +4 FALSE -4 1 6.3 1 0.4 rational manual 0.01 1001 QV 0.5 -0.32 FALSE 1000 0 -0.11 0.12 +5 FALSE -4 1 6.3 1 0.4 rational manual 0.01 1001 QV 0.5 -0.31 FALSE 1000 0.002 -0.11 0.12 +6 FALSE -4 1 6.3 1 0.4 rational manual 0.01 1001 QV 0.5 -0.3 FALSE 1000 0 -0.11 0.12 +7 FALSE -4 1 6.3 1 0.4 rational manual 0.01 1001 QV 0.5 -0.29 FALSE 1000 0 -0.11 0.12 +8 FALSE -4 1 6.3 1 0.4 rational manual 0.01 1001 QV 0.5 -0.28 FALSE 1000 0 -0.11 0.12 +9 FALSE -4 1 6.3 1 0.4 rational manual 0.01 1001 QV 0.5 -0.27 FALSE 1000 0 -0.11 0.12 +10 FALSE -4 1 6.3 1 0.4 rational manual 0.01 1001 QV 0.5 -0.26 FALSE 1000 0 -0.11 0.12 +11 FALSE -4 1 6.3 1 0.4 rational manual 0.01 1001 QV 0.5 -0.25 FALSE 1000 0 -0.11 0.12 +12 FALSE -4 1 6.3 1 0.4 rational manual 0.01 1001 QV 0.5 -0.24 FALSE 1000 0 -0.11 0.12 +13 FALSE -4 1 6.3 1 0.4 rational manual 0.01 1001 QV 0.5 -0.23 FALSE 1000 0 -0.11 0.12 +14 FALSE -4 1 6.3 1 0.4 rational manual 0.01 1001 QV 0.5 -0.22 FALSE 1000 0 -0.11 0.12 +15 FALSE -4 1 6.3 1 0.4 rational manual 0.01 1001 QV 0.5 -0.21 FALSE 1000 0.001 -0.11 0.12 +16 FALSE -4 1 6.3 1 0.4 rational manual 0.01 1001 QV 0.5 -0.2 FALSE 1000 0.003 -0.11 0.12 +17 FALSE -4 1 6.3 1 0.4 rational manual 0.01 1001 QV 0.5 -0.19 FALSE 1000 0.002 -0.11 0.12 +18 FALSE -4 1 6.3 1 0.4 rational manual 0.01 1001 QV 0.5 -0.18 FALSE 1000 0.006 -0.11 0.12 +19 FALSE -4 1 6.3 1 0.4 rational manual 0.01 1001 QV 0.5 -0.17 FALSE 1000 0.025 -0.11 0.12 +20 FALSE -4 1 6.3 1 0.4 rational manual 0.01 1001 QV 0.5 -0.16 FALSE 1000 0.044 -0.11 0.12 +21 FALSE -4 1 6.3 1 0.4 rational manual 0.01 1001 QV 0.5 -0.15 FALSE 1000 0.084 -0.11 0.12 +22 FALSE -4 1 6.3 1 0.4 rational manual 0.01 1001 QV 0.5 -0.14 FALSE 1000 0.143 -0.11 0.12 +23 FALSE -4 1 6.3 1 0.4 rational manual 0.01 1001 QV 0.5 -0.13 FALSE 1000 0.221 -0.11 0.12 +24 FALSE -4 1 6.3 1 0.4 rational manual 0.01 1001 QV 0.5 -0.12 FALSE 1000 0.34 -0.11 0.12 +25 FALSE -4 1 6.3 1 0.4 rational manual 0.01 1001 QV 0.5 -0.11 FALSE 1000 0.453 -0.11 0.12 +26 FALSE -4 1 6.3 1 0.4 rational manual 0.01 1001 QV 0.5 -0.1 FALSE 1000 0.582 -0.11 0.12 +27 FALSE -4 1 6.3 1 0.4 rational manual 0.01 1001 QV 0.5 -0.09 FALSE 1000 0.666 -0.11 0.12 +28 FALSE -4 1 6.3 1 0.4 rational manual 0.01 1001 QV 0.5 -0.08 FALSE 1000 0.751 -0.11 0.12 +29 FALSE -4 1 6.3 1 0.4 rational manual 0.01 1001 QV 0.5 -0.07 FALSE 1000 0.83 -0.11 0.12 +30 FALSE -4 1 6.3 1 0.4 rational manual 0.01 1001 QV 0.5 -0.06 FALSE 1000 0.898 -0.11 0.12 +31 FALSE -4 1 6.3 1 0.4 rational manual 0.01 1001 QV 0.5 -0.05 FALSE 1000 0.919 -0.11 0.12 +32 FALSE -4 1 6.3 1 0.4 rational manual 0.01 1001 QV 0.5 -0.04 FALSE 1000 0.947 -0.11 0.12 +33 FALSE -4 1 6.3 1 0.4 rational manual 0.01 1001 QV 0.5 -0.03 FALSE 1000 0.98 -0.11 0.12 +34 FALSE -4 1 6.3 1 0.4 rational manual 0.01 1001 QV 0.5 -0.02 FALSE 1000 0.98 -0.11 0.12 +35 FALSE -4 1 6.3 1 0.4 rational manual 0.01 1001 QV 0.5 -0.01 FALSE 1000 0.986 -0.11 0.12 +36 FALSE -4 1 6.3 1 0.4 rational manual 0.01 1001 QV 0.5 0 FALSE 1000 0.996 -0.11 0.12 +37 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.35 FALSE 1000 0 -0.14 0.16 +38 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.34 FALSE 1000 0 -0.14 0.16 +39 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.33 FALSE 1000 0 -0.14 0.16 +40 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.32 FALSE 1000 0 -0.14 0.16 +41 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.31 FALSE 1000 0 -0.14 0.16 +42 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.3 FALSE 1000 0 -0.14 0.16 +43 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.29 FALSE 1000 0 -0.14 0.16 +44 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.28 FALSE 1000 0 -0.14 0.16 +45 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.27 FALSE 1000 0 -0.14 0.16 +46 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.26 FALSE 1000 0 -0.14 0.16 +47 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.25 FALSE 1000 0 -0.14 0.16 +48 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.24 FALSE 1000 0 -0.14 0.16 +49 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.23 FALSE 1000 0 -0.14 0.16 +50 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.22 FALSE 1000 0.003 -0.14 0.16 +51 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.21 FALSE 1000 0.007 -0.14 0.16 +52 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.2 FALSE 1000 0.011 -0.14 0.16 +53 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.19 FALSE 1000 0.038 -0.14 0.16 +54 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.18 FALSE 1000 0.066 -0.14 0.16 +55 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.17 FALSE 1000 0.118 -0.14 0.16 +56 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.16 FALSE 1000 0.203 -0.14 0.16 +57 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.15 FALSE 1000 0.339 -0.14 0.16 +58 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.14 FALSE 1000 0.448 -0.14 0.16 +59 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.13 FALSE 1000 0.571 -0.14 0.16 +60 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.12 FALSE 1000 0.67 -0.14 0.16 +61 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.11 FALSE 1000 0.791 -0.14 0.16 +62 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.1 FALSE 1000 0.846 -0.14 0.16 +63 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.09 FALSE 1000 0.902 -0.14 0.16 +64 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.08 FALSE 1000 0.942 -0.14 0.16 +65 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.07 FALSE 1000 0.96 -0.14 0.16 +66 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.06 FALSE 1000 0.971 -0.14 0.16 +67 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.05 FALSE 1000 0.99 -0.14 0.16 +68 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.04 FALSE 1000 0.993 -0.14 0.16 +69 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.03 FALSE 1000 0.998 -0.14 0.16 +70 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.02 FALSE 1000 0.998 -0.14 0.16 +71 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 -0.01 FALSE 1000 1 -0.14 0.16 +72 FALSE -4 1 6.4 1 0.4 rational manual 0.01 1001 QV 0.5 0 FALSE 1000 1 -0.14 0.16 +73 FALSE -4 1 6.5 1 0.4 rational manual 0.01 1001 QV 0.5 -0.35 FALSE 1000 0 -0.16 0.2 +74 FALSE -4 1 6.5 1 0.4 rational manual 0.01 1001 QV 0.5 -0.34 FALSE 1000 0 -0.16 0.2 +75 FALSE -4 1 6.5 1 0.4 rational manual 0.01 1001 QV 0.5 -0.33 FALSE 1000 0 -0.16 0.2 +76 FALSE -4 1 6.5 1 0.4 rational manual 0.01 1001 QV 0.5 -0.32 FALSE 1000 0 -0.16 0.2 +77 FALSE -4 1 6.5 1 0.4 rational manual 0.01 1001 QV 0.5 -0.31 FALSE 1000 0 -0.16 0.2 +78 FALSE -4 1 6.5 1 0.4 rational manual 0.01 1001 QV 0.5 -0.3 FALSE 1000 0 -0.16 0.2 +79 FALSE -4 1 6.5 1 0.4 rational manual 0.01 1001 QV 0.5 -0.29 FALSE 1000 0 -0.16 0.2 +80 FALSE -4 1 6.5 1 0.4 rational manual 0.01 1001 QV 0.5 -0.28 FALSE 1000 0 -0.16 0.2 +81 FALSE -4 1 6.5 1 0.4 rational manual 0.01 1001 QV 0.5 -0.27 FALSE 1000 0 -0.16 0.2 +82 FALSE -4 1 6.5 1 0.4 rational manual 0.01 1001 QV 0.5 -0.26 FALSE 1000 0 -0.16 0.2 +83 FALSE -4 1 6.5 1 0.4 rational manual 0.01 1001 QV 0.5 -0.25 FALSE 1000 0 -0.16 0.2 +84 FALSE -4 1 6.5 1 0.4 rational manual 0.01 1001 QV 0.5 -0.24 FALSE 1000 0 -0.16 0.2 +85 FALSE -4 1 6.5 1 0.4 rational manual 0.01 1001 QV 0.5 -0.23 FALSE 1000 0.005 -0.16 0.2 +86 FALSE -4 1 6.5 1 0.4 rational manual 0.01 1001 QV 0.5 -0.22 FALSE 1000 0.018 -0.16 0.2 +87 FALSE -4 1 6.5 1 0.4 rational manual 0.01 1001 QV 0.5 -0.21 FALSE 1000 0.026 -0.16 0.2 +88 FALSE -4 1 6.5 1 0.4 rational manual 0.01 1001 QV 0.5 -0.2 FALSE 1000 0.091 -0.16 0.2 +89 FALSE -4 1 6.5 1 0.4 rational manual 0.01 1001 QV 0.5 -0.19 FALSE 1000 0.146 -0.16 0.2 +90 FALSE -4 1 6.5 1 0.4 rational manual 0.01 1001 QV 0.5 -0.18 FALSE 1000 0.262 -0.16 0.2 +91 FALSE -4 1 6.5 1 0.4 rational manual 0.01 1001 QV 0.5 -0.17 FALSE 1000 0.347 -0.16 0.2 +92 FALSE -4 1 6.5 1 0.4 rational manual 0.01 1001 QV 0.5 -0.16 FALSE 1000 0.505 -0.16 0.2 +93 FALSE -4 1 6.5 1 0.4 rational manual 0.01 1001 QV 0.5 -0.15 FALSE 1000 0.666 -0.16 0.2 +94 FALSE -4 1 6.5 1 0.4 rational manual 0.01 1001 QV 0.5 -0.14 FALSE 1000 0.755 -0.16 0.2 +95 FALSE -4 1 6.5 1 0.4 rational manual 0.01 1001 QV 0.5 -0.13 FALSE 1000 0.834 -0.16 0.2 +96 FALSE -4 1 6.5 1 0.4 rational manual 0.01 1001 QV 0.5 -0.12 FALSE 1000 0.905 -0.16 0.2 +97 FALSE -4 1 6.5 1 0.4 rational manual 0.01 1001 QV 0.5 -0.11 FALSE 1000 0.942 -0.16 0.2 +98 FALSE -4 1 6.5 1 0.4 rational manual 0.01 1001 QV 0.5 -0.1 FALSE 1000 0.976 -0.16 0.2 +99 FALSE -4 1 6.5 1 0.4 rational manual 0.01 1001 QV 0.5 -0.09 FALSE 1000 0.986 -0.16 0.2 +100 FALSE -4 1 6.5 1 0.4 rational manual 0.01 1001 QV 0.5 -0.08 FALSE 1000 0.992 -0.16 0.2 +101 FALSE -4 1 6.5 1 0.4 rational manual 0.01 1001 QV 0.5 -0.07 FALSE 1000 0.995 -0.16 0.2 +102 FALSE -4 1 6.5 1 0.4 rational manual 0.01 1001 QV 0.5 -0.06 FALSE 1000 1 -0.16 0.2 +103 FALSE -4 1 6.5 1 0.4 rational manual 0.01 1001 QV 0.5 -0.05 FALSE 1000 1 -0.16 0.2 +104 FALSE -4 1 6.5 1 0.4 rational manual 0.01 1001 QV 0.5 -0.04 FALSE 1000 1 -0.16 0.2 +105 FALSE -4 1 6.5 1 0.4 rational manual 0.01 1001 QV 0.5 -0.03 FALSE 1000 1 -0.16 0.2 +106 FALSE -4 1 6.5 1 0.4 rational manual 0.01 1001 QV 0.5 -0.02 FALSE 1000 1 -0.16 0.2 +107 FALSE -4 1 6.5 1 0.4 rational manual 0.01 1001 QV 0.5 -0.01 FALSE 1000 1 -0.16 0.2 +108 FALSE -4 1 6.5 1 0.4 rational manual 0.01 1001 QV 0.5 0 FALSE 1000 1 -0.16 0.2 +109 FALSE -4 1 6.6 1 0.4 rational manual 0.01 1001 QV 0.5 -0.35 FALSE 1000 0 -0.185 0.24 +110 FALSE -4 1 6.6 1 0.4 rational manual 0.01 1001 QV 0.5 -0.34 FALSE 1000 0 -0.185 0.24 +111 FALSE -4 1 6.6 1 0.4 rational manual 0.01 1001 QV 0.5 -0.33 FALSE 1000 0 -0.185 0.24 +112 FALSE -4 1 6.6 1 0.4 rational manual 0.01 1001 QV 0.5 -0.32 FALSE 1000 0 -0.185 0.24 +113 FALSE -4 1 6.6 1 0.4 rational manual 0.01 1001 QV 0.5 -0.31 FALSE 1000 0 -0.185 0.24 +114 FALSE -4 1 6.6 1 0.4 rational manual 0.01 1001 QV 0.5 -0.3 FALSE 1000 0 -0.185 0.24 +115 FALSE -4 1 6.6 1 0.4 rational manual 0.01 1001 QV 0.5 -0.29 FALSE 1000 0 -0.185 0.24 +116 FALSE -4 1 6.6 1 0.4 rational manual 0.01 1001 QV 0.5 -0.28 FALSE 1000 0 -0.185 0.24 +117 FALSE -4 1 6.6 1 0.4 rational manual 0.01 1001 QV 0.5 -0.27 FALSE 1000 0 -0.185 0.24 +118 FALSE -4 1 6.6 1 0.4 rational manual 0.01 1001 QV 0.5 -0.26 FALSE 1000 0 -0.185 0.24 +119 FALSE -4 1 6.6 1 0.4 rational manual 0.01 1001 QV 0.5 -0.25 FALSE 1000 0 -0.185 0.24 +120 FALSE -4 1 6.6 1 0.4 rational manual 0.01 1001 QV 0.5 -0.24 FALSE 1000 0.009 -0.185 0.24 +121 FALSE -4 1 6.6 1 0.4 rational manual 0.01 1001 QV 0.5 -0.23 FALSE 1000 0.024 -0.185 0.24 +122 FALSE -4 1 6.6 1 0.4 rational manual 0.01 1001 QV 0.5 -0.22 FALSE 1000 0.07 -0.185 0.24 +123 FALSE -4 1 6.6 1 0.4 rational manual 0.01 1001 QV 0.5 -0.21 FALSE 1000 0.134 -0.185 0.24 +124 FALSE -4 1 6.6 1 0.4 rational manual 0.01 1001 QV 0.5 -0.2 FALSE 1000 0.284 -0.185 0.24 +125 FALSE -4 1 6.6 1 0.4 rational manual 0.01 1001 QV 0.5 -0.19 FALSE 1000 0.427 -0.185 0.24 +126 FALSE -4 1 6.6 1 0.4 rational manual 0.01 1001 QV 0.5 -0.18 FALSE 1000 0.573 -0.185 0.24 +127 FALSE -4 1 6.6 1 0.4 rational manual 0.01 1001 QV 0.5 -0.17 FALSE 1000 0.685 -0.185 0.24 +128 FALSE -4 1 6.6 1 0.4 rational manual 0.01 1001 QV 0.5 -0.16 FALSE 1000 0.805 -0.185 0.24 +129 FALSE -4 1 6.6 1 0.4 rational manual 0.01 1001 QV 0.5 -0.15 FALSE 1000 0.899 -0.185 0.24 +130 FALSE -4 1 6.6 1 0.4 rational manual 0.01 1001 QV 0.5 -0.14 FALSE 1000 0.94 -0.185 0.24 +131 FALSE -4 1 6.6 1 0.4 rational manual 0.01 1001 QV 0.5 -0.13 FALSE 1000 0.963 -0.185 0.24 +132 FALSE -4 1 6.6 1 0.4 rational manual 0.01 1001 QV 0.5 -0.12 FALSE 1000 0.982 -0.185 0.24 +133 FALSE -4 1 6.6 1 0.4 rational manual 0.01 1001 QV 0.5 -0.11 FALSE 1000 0.989 -0.185 0.24 +134 FALSE -4 1 6.6 1 0.4 rational manual 0.01 1001 QV 0.5 -0.1 FALSE 1000 0.998 -0.185 0.24 +135 FALSE -4 1 6.6 1 0.4 rational manual 0.01 1001 QV 0.5 -0.09 FALSE 1000 0.996 -0.185 0.24 +136 FALSE -4 1 6.6 1 0.4 rational manual 0.01 1001 QV 0.5 -0.08 FALSE 1000 0.999 -0.185 0.24 +137 FALSE -4 1 6.6 1 0.4 rational manual 0.01 1001 QV 0.5 -0.07 FALSE 1000 0.999 -0.185 0.24 +138 FALSE -4 1 6.6 1 0.4 rational manual 0.01 1001 QV 0.5 -0.06 FALSE 1000 1 -0.185 0.24 +139 FALSE -4 1 6.6 1 0.4 rational manual 0.01 1001 QV 0.5 -0.05 FALSE 1000 1 -0.185 0.24 +140 FALSE -4 1 6.6 1 0.4 rational manual 0.01 1001 QV 0.5 -0.04 FALSE 1000 0.999 -0.185 0.24 +141 FALSE -4 1 6.6 1 0.4 rational manual 0.01 1001 QV 0.5 -0.03 FALSE 1000 1 -0.185 0.24 +142 FALSE -4 1 6.6 1 0.4 rational manual 0.01 1001 QV 0.5 -0.02 FALSE 1000 1 -0.185 0.24 +143 FALSE -4 1 6.6 1 0.4 rational manual 0.01 1001 QV 0.5 -0.01 FALSE 1000 1 -0.185 0.24 +144 FALSE -4 1 6.6 1 0.4 rational manual 0.01 1001 QV 0.5 0 FALSE 1000 1 -0.185 0.24 +145 FALSE -4 1 6.7 1 0.4 rational manual 0.01 1001 QV 0.5 -0.35 FALSE 1000 0 -0.21 0.28 +146 FALSE -4 1 6.7 1 0.4 rational manual 0.01 1001 QV 0.5 -0.34 FALSE 1000 0 -0.21 0.28 +147 FALSE -4 1 6.7 1 0.4 rational manual 0.01 1001 QV 0.5 -0.33 FALSE 1000 0 -0.21 0.28 +148 FALSE -4 1 6.7 1 0.4 rational manual 0.01 1001 QV 0.5 -0.32 FALSE 1000 0 -0.21 0.28 +149 FALSE -4 1 6.7 1 0.4 rational manual 0.01 1001 QV 0.5 -0.31 FALSE 1000 0 -0.21 0.28 +150 FALSE -4 1 6.7 1 0.4 rational manual 0.01 1001 QV 0.5 -0.3 FALSE 1000 0 -0.21 0.28 +151 FALSE -4 1 6.7 1 0.4 rational manual 0.01 1001 QV 0.5 -0.29 FALSE 1000 0 -0.21 0.28 +152 FALSE -4 1 6.7 1 0.4 rational manual 0.01 1001 QV 0.5 -0.28 FALSE 1000 0 -0.21 0.28 +153 FALSE -4 1 6.7 1 0.4 rational manual 0.01 1001 QV 0.5 -0.27 FALSE 1000 0.001 -0.21 0.28 +154 FALSE -4 1 6.7 1 0.4 rational manual 0.01 1001 QV 0.5 -0.26 FALSE 1000 0.009 -0.21 0.28 +155 FALSE -4 1 6.7 1 0.4 rational manual 0.01 1001 QV 0.5 -0.25 FALSE 1000 0.026 -0.21 0.28 +156 FALSE -4 1 6.7 1 0.4 rational manual 0.01 1001 QV 0.5 -0.24 FALSE 1000 0.084 -0.21 0.28 +157 FALSE -4 1 6.7 1 0.4 rational manual 0.01 1001 QV 0.5 -0.23 FALSE 1000 0.153 -0.21 0.28 +158 FALSE -4 1 6.7 1 0.4 rational manual 0.01 1001 QV 0.5 -0.22 FALSE 1000 0.259 -0.21 0.28 +159 FALSE -4 1 6.7 1 0.4 rational manual 0.01 1001 QV 0.5 -0.21 FALSE 1000 0.425 -0.21 0.28 +160 FALSE -4 1 6.7 1 0.4 rational manual 0.01 1001 QV 0.5 -0.2 FALSE 1000 0.601 -0.21 0.28 +161 FALSE -4 1 6.7 1 0.4 rational manual 0.01 1001 QV 0.5 -0.19 FALSE 1000 0.745 -0.21 0.28 +162 FALSE -4 1 6.7 1 0.4 rational manual 0.01 1001 QV 0.5 -0.18 FALSE 1000 0.824 -0.21 0.28 +163 FALSE -4 1 6.7 1 0.4 rational manual 0.01 1001 QV 0.5 -0.17 FALSE 1000 0.906 -0.21 0.28 +164 FALSE -4 1 6.7 1 0.4 rational manual 0.01 1001 QV 0.5 -0.16 FALSE 1000 0.958 -0.21 0.28 +165 FALSE -4 1 6.7 1 0.4 rational 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passionate-minority-pmp-correlation-table (tipping) 3.txt b/data-analysis/analysis-future-work/future-work-data/QV passionate-minority-pmp-correlation-table (tipping) 3.txt new file mode 100644 index 0000000..a64029c --- /dev/null +++ b/data-analysis/analysis-future-work/future-work-data/QV passionate-minority-pmp-correlation-table (tipping) 3.txt @@ -0,0 +1,1408 @@ +[run number] payoff-include-votes-cost? majority-mean-utility majority-utility-stdev minority-mean-utility minority-utility-stdev minority-fraction behavior-under-qv calibration variance-of-pmp number-of-voters voting-mechanism marginal-pivotality utility-pmp-correlation limit-votes? [step] mean payoff-sign-list mean +1 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -1 FALSE 1000 0 +2 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.99 FALSE 1000 0 +3 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.98 FALSE 1000 0 +4 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.97 FALSE 1000 0 +5 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.96 FALSE 1000 0 +6 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.95 FALSE 1000 0 +7 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.94 FALSE 1000 0 +8 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.93 FALSE 1000 0 +9 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.92 FALSE 1000 0 +10 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.91 FALSE 1000 0 +11 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.9 FALSE 1000 0 +12 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.89 FALSE 1000 0 +13 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.88 FALSE 1000 0 +14 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.87 FALSE 1000 0 +15 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.86 FALSE 1000 0 +16 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.85 FALSE 1000 0 +17 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.84 FALSE 1000 0 +18 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.83 FALSE 1000 0 +19 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.82 FALSE 1000 0 +20 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.81 FALSE 1000 0 +21 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.8 FALSE 1000 0 +22 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.79 FALSE 1000 0 +23 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.78 FALSE 1000 0 +24 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.77 FALSE 1000 0 +25 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.76 FALSE 1000 0 +26 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.75 FALSE 1000 0 +27 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.74 FALSE 1000 0 +28 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.73 FALSE 1000 0 +29 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.72 FALSE 1000 0 +30 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.71 FALSE 1000 0 +31 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.7 FALSE 1000 0 +32 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.69 FALSE 1000 0 +33 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.68 FALSE 1000 0 +34 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.67 FALSE 1000 0 +35 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.66 FALSE 1000 0 +36 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.65 FALSE 1000 0 +37 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.64 FALSE 1000 0 +38 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.63 FALSE 1000 0 +39 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.62 FALSE 1000 0 +40 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.61 FALSE 1000 0 +41 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.6 FALSE 1000 0 +42 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.59 FALSE 1000 0 +43 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.58 FALSE 1000 0 +44 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.57 FALSE 1000 0 +45 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.56 FALSE 1000 0 +46 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.55 FALSE 1000 0 +47 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.54 FALSE 1000 0 +48 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.53 FALSE 1000 0 +49 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.52 FALSE 1000 0 +50 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.51 FALSE 1000 0 +51 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.5 FALSE 1000 0 +52 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.49 FALSE 1000 0 +53 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.48 FALSE 1000 0 +54 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.47 FALSE 1000 0 +55 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.46 FALSE 1000 0 +56 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.45 FALSE 1000 0 +57 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.44 FALSE 1000 0 +58 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.43 FALSE 1000 0 +59 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.42 FALSE 1000 0 +60 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.41 FALSE 1000 0 +61 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.4 FALSE 1000 0 +62 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.39 FALSE 1000 0 +63 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.38 FALSE 1000 0 +64 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.37 FALSE 1000 0 +65 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.36 FALSE 1000 0 +66 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.35 FALSE 1000 0 +67 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.34 FALSE 1000 0 +68 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.33 FALSE 1000 0.004 +69 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.32 FALSE 1000 0.022 +70 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.31 FALSE 1000 0.113 +71 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.3 FALSE 1000 0.259 +72 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.29 FALSE 1000 0.515 +73 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.28 FALSE 1000 0.731 +74 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.27 FALSE 1000 0.868 +75 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.26 FALSE 1000 0.954 +76 FALSE -4 1 7.25 1 0.4 rational manual 0.01 1001 QV 0.5 -0.25 FALSE 1000 0.991 +77 FALSE -4 1 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passionate-minority-pmp-correlation-table-tipping b/data-analysis/analysis-future-work/future-work-data/QV passionate-minority-pmp-correlation-table-tipping new file mode 100644 index 0000000..f053e28 --- /dev/null +++ b/data-analysis/analysis-future-work/future-work-data/QV passionate-minority-pmp-correlation-table-tipping @@ -0,0 +1,7 @@ +"BehaviorSpace results (NetLogo 6.1.1)" +"QV.nlogo" +"passionate-minority-pmp-correlation" +"01/01/2021 14:48:12:480 -0700" +"min-pxcor","max-pxcor","min-pycor","max-pycor" +"-25","25","-25","25" +"[run number]","payoff-include-votes-cost?","majority-mean-utility","majority-utility-stdev","minority-mean-utility","minority-utility-stdev","minority-fraction","behavior-under-qv","calibration","variance-of-pmp","number-of-voters","voting-mechanism","marginal-pivotality","utility-pmp-correlation","limit-votes?","[step]","mean payoff-sign-list" diff --git a/data-analysis/analysis-future-work/future-work-data/QV passionate-minority-pmp-correlation-table.csv b/data-analysis/analysis-future-work/future-work-data/QV passionate-minority-pmp-correlation-table.csv new file mode 100644 index 0000000..7ba7467 --- /dev/null +++ b/data-analysis/analysis-future-work/future-work-data/QV passionate-minority-pmp-correlation-table.csv @@ -0,0 +1,2101 @@ +[run number],payoff-include-votes-cost?,majority-mean-utility,majority-utility-stdev,minority-mean-utility,minority-utility-stdev,minority-fraction,behavior-under-qv,calibration,variance-of-pmp,number-of-voters,voting-mechanism,marginal-pivotality,utility-pmp-correlation,limit-votes?,[step],mean payoff-sign-list,average payoff +5,FALSE,-4,1,6,1,0.4,rational,manual,0.01,1001,QV,0.5,-1,FALSE,100,0.77,0.7813 +7,FALSE,-4,1,6,1,0.4,rational,manual,0.01,1001,QV,0.5,-1,FALSE,100,0.81,0.7813 +8,FALSE,-4,1,6,1,0.4,rational,manual,0.01,1001,QV,0.5,-1,FALSE,100,0.79,0.7813 +4,FALSE,-4,1,6,1,0.4,rational,manual,0.01,1001,QV,0.5,-1,FALSE,100,0.75,0.7813 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diff --git a/data-analysis/analysis-future-work/future-work-data/multi-QV-with-Polling correlate-10-issues-maj-vs-min b/data-analysis/analysis-future-work/future-work-data/multi-QV-with-Polling correlate-10-issues-maj-vs-min new file mode 100644 index 0000000..54a659a --- /dev/null +++ b/data-analysis/analysis-future-work/future-work-data/multi-QV-with-Polling correlate-10-issues-maj-vs-min @@ -0,0 +1,41007 @@ +BehaviorSpace results (NetLogo 6.1.1) +multi-QV-with-Polling.nlogo +correlate-n-issues +01/04/2021 11:04:43:500 -0600 +min-pxcor max-pxcor min-pycor max-pycor +-32 32 -32 32 +[run number] vote-portion-strategic utility-distribution number-of-voters perceived-utility-stdev proportion-of-strategic-voters minority-power y-axis x-axis QV? number-of-issues issues-correlation correlate-n-issues [step] mean total-payoff-per-issue +8 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 18.79939783 +3 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.996143594 +5 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.12032375 +2 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 1.44620139 +4 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.240113219 +6 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.52214914 +1 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.097554285 +11 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.99410054 +9 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.946612372 +13 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 15.83528799 +15 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.862705275 +12 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.695169302 +14 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.13750188 +7 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 15.82524654 +10 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 3.376145111 +16 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.987256411 +17 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.370158645 +18 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.41856129 +21 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.17383972 +23 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.2693377 +20 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.32119104 +25 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.141126661 +19 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.386624115 +24 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.112913151 +27 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.85630156 +28 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.80585268 +22 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.685284101 +26 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.73133153 +30 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.910028368 +32 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.096534297 +31 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.163446104 +29 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.25879931 +33 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.971267948 +34 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 16.07606421 +36 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 20.19627106 +37 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.40107687 +38 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.311356556 +35 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 3.814946597 +40 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.45135272 +39 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.741294572 +42 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.34460659 +44 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.52158945 +41 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.628649806 +43 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.19467536 +45 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.997020784 +46 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.355061274 +47 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.210638196 +50 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 16.85317473 +49 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.99112759 +51 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 17.42224396 +48 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.34382429 +52 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.38959529 +55 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.4646871 +54 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.39435853 +53 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.63099074 +56 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.7282731 +58 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.96918674 +57 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.6100212 +59 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.498568592 +62 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 16.60939371 +64 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.2361829 +61 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 16.91181504 +60 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.731250934 +67 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.4028552 +68 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.63720856 +69 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.178222007 +65 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 16.24042251 +66 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.56668937 +63 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.215178975 +73 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.72364326 +72 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.811069687 +70 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.92886011 +75 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.938929222 +71 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.28050791 +77 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.50599036 +74 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.789074709 +76 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.15816928 +79 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.75811379 +81 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.402263477 +78 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.14092212 +80 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.98365497 +85 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.082530174 +83 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.140912551 +82 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.5944752 +84 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.864237508 +88 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.303961824 +87 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.65959718 +89 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.49548102 +86 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.202139932 +93 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.387738923 +92 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.29556309 +95 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 16.89074811 +94 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.374146054 +96 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.858505852 +91 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.390023175 +98 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.996471084 +99 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.13284193 +90 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.759131299 +97 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 16.64125916 +100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 16.03720896 +102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.9353319 +101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 16.40072921 +103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 15.23846069 +105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.40549584 +107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.568883184 +110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.78823114 +106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.585829382 +104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.61450145 +111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.732787123 +108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.9653539 +112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.567917943 +113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.79097006 +114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 3.550340653 +109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.16970481 +116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 2.73259802 +118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.55826573 +115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.39622266 +117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.77984162 +119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.413765384 +120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.10293092 +123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.638525259 +122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.208058689 +124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 16.82760554 +121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.19042017 +125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.53343433 +127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.269427604 +126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.401095282 +128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.221801965 +130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.52602533 +129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.986571312 +131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.973583623 +132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.97166326 +134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.384316944 +133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.2218309 +135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.26685638 +136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.6380091 +137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.489085 +139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 1.430376173 +138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.770494329 +140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 19.33435753 +141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.47076517 +142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 3.314451131 +144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.174479651 +145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.4063208 +143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.57629136 +149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.800483344 +148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.54115686 +146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.37401543 +147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.364152129 +150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.361831372 +151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 17.50643961 +153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.326226304 +155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.888304756 +152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.265756582 +154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.463574115 +156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 16.26260866 +159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 3.873383486 +157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.753584401 +160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.484956186 +158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.58152778 +162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.872707338 +163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 17.23049893 +161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.1363182 +164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.38433138 +166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.01213227 +165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.692121123 +167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.468774 +168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.825716599 +169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.419945919 +170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.699047559 +171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.537935511 +174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.394470996 +173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 2.205843185 +172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.56595372 +176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.56731918 +177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.77233911 +178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.411132816 +175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.792051859 +179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.651095243 +181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.348500271 +180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.71029816 +182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 16.45863887 +185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.02921523 +183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.956001409 +187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.37739098 +186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 16.12094353 +188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.26356293 +190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.08070224 +184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.487048542 +189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.125493468 +191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.060516716 +192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 16.8109895 +194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 3.191154944 +196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.03315275 +197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.196990757 +199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.24010737 +198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.157951593 +193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 16.42782174 +195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.734207654 +201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.838483338 +202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.371777048 +203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.540852777 +206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.86007855 +204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.633567052 +200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.224037849 +205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.98545319 +207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.12833396 +209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.958937274 +213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.64991379 +208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 3.400616049 +212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.865562595 +210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.63051947 +214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.277079347 +215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.92406234 +211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.581893799 +218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.971806994 +217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.303301913 +219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.56702041 +220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.448316089 +216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.740299115 +221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 15.15368698 +222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.83276478 +225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.005189747 +223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.750009454 +224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.25046259 +227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.80568089 +228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 15.81787746 +229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.50834078 +230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.995731343 +226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.859930222 +231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.441673062 +232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.49101343 +233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 3.342289005 +234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.271595581 +236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.942338361 +238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.25610042 +235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.664897723 +237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.078605889 +240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.16114799 +239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.941771552 +242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.884087733 +243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.028929515 +245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.80960743 +244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 16.39519244 +246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.46254443 +248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.418992033 +247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.38777279 +241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.4427149 +249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 17.83086215 +252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 2.122860464 +250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.062972148 +251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.955567378 +253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.964684704 +255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 24.11474444 +254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.706434864 +258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.916700492 +257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.505855839 +256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.682125136 +259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.351056225 +260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.35953243 +261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.787737885 +262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.729309663 +263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 1.662736034 +264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.72677232 +266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.10225376 +267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.70980227 +265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.204239472 +268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.5881487 +269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.44575982 +270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.09268973 +271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 18.70312533 +273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.76250685 +272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 20.39227272 +275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.581854629 +276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.896874527 +277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.24788205 +279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.48887942 +278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.63907491 +280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.396338686 +274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.951593063 +281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.059903994 +282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.0097868 +283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.73285364 +284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 15.66899984 +285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.908566537 +287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.82177841 +286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -1.528811292 +288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.14381211 +289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.51946296 +290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.36704042 +291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 17.55639737 +294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.792422155 +293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.904886575 +295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.344813461 +292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.636295206 +297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.62868384 +296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.33298229 +299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.71151773 +298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.5937043 +300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.9456284 +303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 19.83274778 +301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.447423135 +305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.623444047 +302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.171287177 +307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.738927697 +306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.93902473 +304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.70390711 +308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.25093387 +310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 1.63436027 +309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.80905871 +311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.762324049 +312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 17.72604355 +313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.076069544 +314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 20.73895096 +315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.6986926 +316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.705743401 +317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.845914656 +319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.826104972 +318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.979030866 +320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.65553924 +321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.935968189 +322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.038080666 +324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.58897319 +323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.17745172 +325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 15.99351556 +326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.13404253 +328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.32711383 +327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.333206229 +329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.673482303 +330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.66778725 +331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.557250395 +333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.422947306 +334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.344686498 +332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.915095626 +335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.56162366 +336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.434503412 +338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.305250836 +340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.76718357 +339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.041016082 +341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.354397168 +337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.527264106 +342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.285203369 +343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.113362738 +344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.543344532 +345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.640805236 +347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.10586917 +349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.247598492 +348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 17.83884274 +346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.590824772 +351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.32543675 +352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.508174336 +353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.84173768 +354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.85077201 +356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.63224109 +350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.06913142 +357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.40316613 +358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.232137714 +355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.8351407 +360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.515138261 +359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 3.616651299 +361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.163538924 +363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.713821158 +364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.323870969 +362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.5022936 +365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 2.230215743 +366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.08481164 +368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 1.836462808 +367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.43435795 +369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.04291031 +370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.5349655 +371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.819566471 +372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.35204761 +373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.49677849 +374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.321678718 +377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.028333646 +375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.78857177 +376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.552282332 +378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.75500719 +379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 3.9559587 +380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.178472079 +381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.63007355 +382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.75894147 +383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.41055675 +384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.12234115 +387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.96225931 +385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.44612322 +386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.56619987 +389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 19.8729959 +390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 19.01400754 +388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.817582495 +392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.872824218 +391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.270843467 +394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.30853254 +395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.12109548 +393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 3.124526202 +396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.100197427 +397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.516905199 +398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.400378154 +399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.905472823 +401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 2.675952523 +400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.719408087 +403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 17.07201316 +404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.70866258 +402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.53074322 +405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.12377974 +406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 3.680859624 +407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.24398702 +408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.778260746 +409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.16009779 +410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.765654238 +411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.79932579 +413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 16.51414954 +412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.491345532 +414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.1402059 +415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 16.19740069 +416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.541423617 +417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.91602426 +418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 1.167999337 +419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.779038614 +420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.30741624 +422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.888260996 +423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.784462384 +424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.48047748 +425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 15.45281972 +427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 15.56599404 +426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.022767819 +428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.533003043 +421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 3.13485467 +429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.591046799 +430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.08407904 +431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.076316555 +432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.78234591 +434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.373233738 +436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.953381856 +435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.8511291 +437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.128306633 +438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 2.550182976 +433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.83947741 +439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.50717814 +442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.11343119 +443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.704508673 +441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.983530735 +440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.460487707 +445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.633910738 +444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.66512382 +446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.65093805 +447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.06952246 +449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 3.87299305 +450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.076303427 +451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.65542006 +453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.666201697 +452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.76340042 +454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.476837284 +448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 15.13087201 +455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.398444621 +456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.43858713 +458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.768665205 +457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.636332067 +460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.004159005 +459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.596666952 +462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 19.04732216 +461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.254888816 +463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.375401461 +466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.238283909 +464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.70265935 +465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.5087943 +469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.68503842 +468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.42332844 +467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 1.635559556 +470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.069021902 +471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.64627107 +472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.33395226 +473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.7611452 +476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.72898635 +474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 17.81445166 +477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.2174407 +475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.833136344 +478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 26.07529368 +480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.56912335 +481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.167500445 +482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.20447639 +483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.924312514 +484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.98510137 +479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.306493757 +485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.71825864 +486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 3.528429554 +488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.29669388 +487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.09273366 +491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.74382865 +489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 15.28041032 +490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.148748825 +492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.42939657 +494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.655004479 +493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.66453147 +495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 15.47961022 +496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.869599614 +497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 3.592062997 +498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.672655525 +500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 3.829208728 +499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.832279905 +501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.380473139 +502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.72312887 +503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.510445672 +504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.354778086 +506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.25726536 +508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.232584883 +505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.1406681 +509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.582474779 +510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.11662071 +507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.61751991 +511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.519277389 +512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.505508396 +513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 19.82001572 +514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 1.78890231 +515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.074033163 +517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.12395384 +518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.181455619 +516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.60274971 +521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.64491361 +520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.58803329 +519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.863948343 +523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.570319209 +522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.13269931 +524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.357131542 +526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.537991756 +525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.85875388 +527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.883273827 +528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.973967331 +529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.49118655 +531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 17.86782168 +533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.69681232 +534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.68124294 +532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.473285161 +537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.72992129 +536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.633313123 +535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.031602546 +530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.79764742 +538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.047794523 +539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.51703534 +540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.603574164 +541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.904547312 +542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.70040852 +543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.06791792 +544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -2.134392167 +545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 17.12886007 +546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.606011304 +547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.452505283 +548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.94909835 +549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.817236815 +550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.84620079 +551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.856470864 +552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.02885245 +554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.21583035 +553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.54637907 +556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.494816854 +557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.73115265 +555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.184782429 +559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 3.320716523 +558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.410176639 +560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.43510696 +561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.25623497 +562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.68564341 +564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.85204963 +563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.16302241 +565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 15.22855602 +566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.96607007 +567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 15.66712604 +568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.290771719 +569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.61309665 +570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.35286476 +573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.866321777 +571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.927383593 +572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.61813478 +574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 18.09478108 +575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 15.01801734 +576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.419750213 +577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.14394733 +580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.879286581 +581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.87037085 +582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.561332602 +578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.83374895 +579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.170934703 +584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.924824582 +585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.051020933 +583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.96477897 +586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 20.83359875 +587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.14283309 +589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.20522233 +590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.09112935 +588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.86470249 +591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.312739603 +593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.2928765 +592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.848770509 +595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 17.61418484 +596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 16.08629085 +594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.812599636 +597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.491216768 +598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.613994493 +599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.84218153 +600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.014399791 +601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.03819272 +603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.732524396 +604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.916881763 +605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.085274397 +606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.36549898 +602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.5888593 +607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.811095447 +611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.920796906 +609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.920921632 +610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 3.550102387 +608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.565132656 +612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.65729113 +613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -2.508137146 +614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 1.052343367 +615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 15.95840024 +618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.38608434 +617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.70841629 +616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 2.119833635 +620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.540555972 +619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.84364421 +621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.132746269 +623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.330471075 +624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.08479129 +626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.06198454 +627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.67705158 +625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.92639037 +628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.203591654 +622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 17.12802089 +629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.96067994 +630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.31380548 +632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.96639612 +633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.16768592 +634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.594221846 +635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 16.67000021 +636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.3923369 +631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.572646463 +637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.24333144 +638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.42862123 +641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.634174437 +640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.14615503 +639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.2548197 +643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.4073426 +642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 2.985967073 +644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.381930696 +645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.8726374 +646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.886038198 +648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.11952929 +649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.33250241 +647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 15.32984219 +651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.687165818 +652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.861872071 +653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.95969045 +654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.472546363 +650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.3263022 +656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.662174818 +655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.203540081 +657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 19.18243909 +660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.124598245 +659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.705900776 +658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.027884489 +661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.650765245 +664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.55367505 +662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.70847023 +663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.857757481 +665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.60444593 +666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.11454081 +667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.186682305 +668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.453596925 +669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.261883737 +670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.22934027 +671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.89607596 +673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.12151448 +672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.784129216 +674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.218186676 +675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 19.94281167 +676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.704349531 +677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 16.59665623 +678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.12515336 +680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.07984233 +681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.447942912 +682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.25824571 +683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.757216989 +684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.730254046 +685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.96983858 +679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.654107791 +686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 15.04250455 +687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.762381607 +689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.67895086 +688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 3.766302777 +690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 18.39651333 +692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.99463696 +691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.83084907 +693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.67591475 +694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 18.30332642 +697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.48357906 +696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.04545847 +695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.46772431 +698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.56919808 +700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.756850712 +699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.96040542 +702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.83609518 +703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.57619565 +704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.327934945 +705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.900093387 +701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.37659734 +706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.67614451 +708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.81765889 +707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 3.997736687 +711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 15.07948438 +710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.788854121 +709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.27350205 +712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.57871144 +713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.37883321 +714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.569635338 +715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.29992166 +716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.216579671 +718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 17.91424274 +720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.30734251 +719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.68480151 +717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.890359288 +721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.80922939 +722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 1.541775584 +723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.608720449 +726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.821993135 +725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 17.17481543 +724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.549062525 +728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 15.77338352 +727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.52689344 +730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.941825851 +729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.044582359 +731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 15.92209051 +732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.26516112 +733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.999033117 +735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 2.317169765 +734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.563867019 +736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.334061339 +737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 17.24312442 +738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.33678907 +739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.579740624 +741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.58177513 +740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.772763486 +743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.77263984 +742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.34844977 +744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.965632952 +745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.331952918 +747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 15.27497282 +750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 16.79287461 +748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.165681019 +749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.45482144 +751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 15.60674761 +746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.912314 +752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.1266509 +754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.46178505 +753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 16.21247462 +756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.162791127 +757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.695351057 +758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.80816353 +760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.39295399 +755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.94374227 +759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.30488812 +762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.53399396 +763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.78886458 +761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.489972992 +765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.60994205 +764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.607739701 +766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.28602132 +767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.072315295 +768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.633051575 +769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.0623142 +770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.969114785 +772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.38902869 +773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.19724084 +774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.829813443 +771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.110288513 +775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.57560459 +777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 15.39436709 +778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.326582555 +779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.91214328 +776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 19.72781696 +780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.0204327 +782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 17.77204269 +781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 2.954933999 +783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 20.30775689 +785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.648486032 +784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.482321312 +786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.404237973 +788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.25929818 +789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.71503633 +787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.577380033 +791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.82818286 +790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.605249063 +792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.92494349 +794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.45316214 +793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 15.05350447 +795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.955697157 +796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.619155047 +797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.29090758 +798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.7874472 +799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.76224073 +800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.61402438 +801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.080973927 +802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.92347846 +803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.807709604 +804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.47220216 +805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 15.00242156 +806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.67988876 +807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.16871992 +808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.00542295 +809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 16.77837564 +810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.374381635 +811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.85397626 +812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 3.170421818 +813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.84360817 +815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.03446891 +814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.69313938 +816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 15.9187103 +817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 16.14207861 +818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 17.35559962 +819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.106137658 +820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.99151694 +822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.65238397 +823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 17.87496877 +821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.8553682 +824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.35967477 +825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 2.736500601 +827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.214698617 +826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.305833919 +828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.792622822 +829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.37089053 +832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 16.45016154 +830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.43410413 +831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.376602439 +835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.894406503 +833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 16.32738365 +834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.16949025 +836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 15.40978141 +837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 15.12120617 +838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.878187236 +839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.58046355 +842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.962154099 +841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.054764069 +843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.704851348 +840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.61728252 +844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 3.172203182 +845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.10269507 +846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.626128769 +847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.462696029 +848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.698626141 +850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.32023277 +849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.7192493 +851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.708753932 +852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 2.024120986 +853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.26701594 +854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.492868245 +855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.34001225 +856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 1.802531868 +857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.863368954 +858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.50605613 +859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.544720235 +860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.24586647 +862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.1964685 +861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.788434 +863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.767393622 +864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.43783489 +865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.911758273 +866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.984093781 +868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.500394165 +867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.886714852 +871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 3.718796096 +870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.794402089 +872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.58563846 +869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 18.52847069 +873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.32424886 +874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.44126127 +875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.441079805 +876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 16.16562929 +878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.26563006 +879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.241533301 +880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 15.73218553 +881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.142334749 +877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.415347827 +882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.440283082 +883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.01348938 +886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 19.7616212 +884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.055954292 +887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.906987091 +888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.398488864 +889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.084831078 +885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.03196753 +890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.258936298 +891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.473336097 +892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.413931699 +897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.58160383 +895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.156184046 +894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 15.6343493 +893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.421763076 +896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.08769771 +898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.472000217 +899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.590771199 +900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.458417643 +903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 2.243724828 +902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.230863853 +901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.12300996 +904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.15600943 +905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 3.928120513 +906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.488719493 +908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.693047548 +909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.534135198 +910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.71185084 +907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.45397123 +912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.783167714 +913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 15.35444432 +914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 16.25474721 +911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.600969289 +915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.097452334 +916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.481890816 +917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 15.03883958 +918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.396069436 +920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 12.46726963 +919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.894323 +921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.60762248 +922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.22782404 +924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 1.646999172 +923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.333189109 +926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.53389993 +927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.15495593 +925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.367217034 +929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.304111644 +930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 2.395961218 +932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 2.950116963 +928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.073679364 +931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.675122017 +933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.015867077 +934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.778286767 +935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 1.990513187 +936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 16.98297008 +937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 2.985284347 +939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.42140873 +938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.765879911 +941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.791059713 +940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.71338559 +943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.01655561 +942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.954765893 +944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.984291537 +947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.93508379 +945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 15.46532427 +948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.038208791 +946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 15.14561902 +949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.230525081 +951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.81753436 +952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.91915721 +953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.391705521 +950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.889289097 +957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 19.19123495 +955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.140269042 +954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.26826192 +958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 2.087362499 +956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 20.08661961 +960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.989048402 +959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.56500721 +961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.30305057 +963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 3.118229773 +962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 20.40103208 +964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.32950499 +965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.602236983 +966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 1.695081183 +967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.183125615 +969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.490314066 +970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 15.9581828 +971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.983956601 +972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.82384067 +968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 3.373304673 +973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -1.561031212 +975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.299427392 +977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 16.54479627 +974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 14.9219151 +978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.04292514 +980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.80588517 +976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 3.893861707 +979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 19.36293964 +981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.141896407 +983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.752454802 +982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 6.423658802 +985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.94611553 +986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.563815911 +987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.76887029 +988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.778070283 +990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 24.90008122 +989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 8.566858959 +991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.376576691 +992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.381882841 +984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 7.341021066 +994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 4.192020025 +995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 2.284945531 +996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 11.48749469 +997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 5.789273003 +998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.00668048 +999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 1.546179622 +993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 10.3010146 +1001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.19624052 +1000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 13.30472449 +1003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.00587724 +1004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.03490442 +1002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.22457611 +1006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.28456925 +1005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.55560501 +1007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 1.338042101 +1008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.882423527 +1009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 16.66832095 +1010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.76498332 +1012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.42136633 +1013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.808194878 +1014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.128089963 +1011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.41379148 +1015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.706825945 +1016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.77525471 +1018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.75361332 +1019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.673490236 +1020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.793982929 +1021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.78941184 +1022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.586628555 +1023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.750671112 +1024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 3.52098068 +1017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.744366741 +1025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 16.94916941 +1028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.554760511 +1029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.09374146 +1027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.499018797 +1026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.425286104 +1030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.5635719 +1032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.43351583 +1031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.58697994 +1033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.020695552 +1034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.571688107 +1036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.18421454 +1037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.43486498 +1035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.170000099 +1038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.838000761 +1039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 19.62036697 +1040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 3.695676425 +1041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 1.707012303 +1042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.654762319 +1043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 15.52313707 +1044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 15.37216896 +1045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.959926036 +1046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.93402862 +1048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.038650305 +1049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.90019152 +1047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.67055859 +1050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.058691623 +1051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.162904867 +1052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.74641538 +1054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.858957572 +1053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.17752391 +1055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.6022585 +1056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.454508769 +1059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.2919513 +1058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.092220668 +1057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.851350439 +1060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.090822569 +1062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 16.10921247 +1063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.89178137 +1061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.97984245 +1064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.1432518 +1066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.23277681 +1068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.97628126 +1065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.58437945 +1067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.8807189 +1069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.943510596 +1071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.317264653 +1070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.95843406 +1072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.524096076 +1073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.98634026 +1075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.96685466 +1074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.187744894 +1076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.019022586 +1077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 1.59761422 +1078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.174395252 +1079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.831560432 +1080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.990373889 +1081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.32363316 +1082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.35909309 +1083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.860286186 +1084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.445217431 +1088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 17.19767426 +1085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.036780733 +1087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.35686125 +1086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.76073861 +1090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.82994833 +1089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.130793244 +1091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.63082852 +1092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.85974231 +1093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.83595048 +1096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.996489943 +1095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.83908506 +1097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.780000897 +1094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.63558725 +1098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.887569114 +1099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.97728565 +1100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.1324844 +1101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.749681263 +1102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.6065275 +1105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 16.64007446 +1104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 16.47549141 +1103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.74768505 +1106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.09685211 +1107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.776735933 +1109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.93455899 +1113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.035167395 +1110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.78885427 +1111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.707609891 +1114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.174763454 +1112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.531512548 +1115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.11484827 +1108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 18.1390011 +1116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.984130167 +1118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.338959949 +1120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.2246446 +1117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.71041011 +1121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.357866212 +1119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.75984213 +1123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.564160655 +1124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.9135853 +1125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.051203179 +1122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.23423973 +1126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.692324463 +1127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.35732553 +1128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.27469597 +1129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.861889973 +1130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 16.23419148 +1131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.23332829 +1133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.818076329 +1134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.87071092 +1136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.230024521 +1135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 2.934375481 +1137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.41219133 +1132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.31558298 +1139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.64747337 +1140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 15.06333451 +1141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.412583244 +1138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.989860701 +1142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 1.629193746 +1143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.157076766 +1145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.089705456 +1144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 3.933397985 +1146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.518038 +1148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.23352398 +1147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 18.65106708 +1150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.917999668 +1149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.590224595 +1151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 17.92569932 +1152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.392336654 +1153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 16.89905155 +1154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 2.871867743 +1156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.36283889 +1157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.701243457 +1155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 19.7004724 +1158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.47657343 +1159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.577930125 +1161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.439480433 +1160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.924114026 +1162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.50294679 +1164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.951034651 +1163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.63038553 +1165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 16.66714158 +1169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.95451614 +1167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.12878832 +1168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.81502981 +1166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.60999067 +1172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.788611124 +1171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.931600098 +1173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.687580537 +1170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.41898846 +1174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.906117526 +1176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.406450281 +1175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 19.1915359 +1177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.531275392 +1180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.95783675 +1179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.61462598 +1178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.65003949 +1181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.669074298 +1183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.96941112 +1184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.14717718 +1182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.612514786 +1186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.09054693 +1185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.631363585 +1188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.79199696 +1189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.86098456 +1187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.398306304 +1190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 15.54432938 +1191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.386155159 +1193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 16.70318259 +1192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.953029838 +1195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.090277765 +1194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.333874731 +1196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.958687969 +1197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.055193002 +1199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.478120516 +1198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 18.33942737 +1200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.257453561 +1201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.18518859 +1202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.89420953 +1204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.65024824 +1203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.891997008 +1205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.939709714 +1206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.174151351 +1208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.96737373 +1207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.890600373 +1210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.395286889 +1211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.74613954 +1209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.82347914 +1213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.22636827 +1214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.4315577 +1215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.821808984 +1216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.30264401 +1217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.470346039 +1212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.691495231 +1218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.79432029 +1219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 1.558158922 +1220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.700037167 +1221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.43016873 +1222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.872566505 +1223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.751462762 +1226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.824573325 +1227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.468097392 +1224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.682524465 +1225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.334125241 +1228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.677159519 +1229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.400181955 +1230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.94169731 +1231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.723086245 +1232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.501234853 +1234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.63830787 +1233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.595786487 +1235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.56834836 +1236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.957004437 +1237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.31579367 +1238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.19158843 +1240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.54474655 +1239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.21468261 +1242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 23.5322853 +1241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.7808871 +1243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.09305295 +1244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.62805627 +1245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.40733437 +1246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.74248988 +1247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.796465877 +1248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.141216458 +1249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.377678704 +1250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.517526393 +1252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.00470822 +1251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 16.59897232 +1253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 20.46203448 +1255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.300220528 +1254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 2.169980421 +1256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.337599428 +1257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 16.94658987 +1258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.209203979 +1259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.5596556 +1260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.95052809 +1261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 2.06041422 +1262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.437761964 +1263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.81673736 +1264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.47497948 +1265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.93589238 +1266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 17.2649006 +1267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.3087272 +1270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.00437496 +1269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.86618682 +1271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 16.90030169 +1268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 20.98191597 +1273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.36427802 +1272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.497813007 +1274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.505202053 +1275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.350818521 +1276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.9760793 +1278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.74811108 +1277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.556451766 +1280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.96765894 +1279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.81861777 +1281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 19.45372871 +1282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.77736908 +1283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.04336762 +1284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.13021116 +1285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.67030258 +1286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 1.109786187 +1287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.29331039 +1289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.8703167 +1288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.615397213 +1291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.896023942 +1290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.656192482 +1292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.65686592 +1294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 15.54913417 +1293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.42636503 +1296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.74595367 +1295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.623876146 +1297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.800768714 +1298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.563215174 +1299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.06929423 +1300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.793411013 +1302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 2.622490262 +1301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.795545296 +1303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.690696056 +1304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.98931162 +1306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.453796139 +1305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.89729342 +1307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.97869544 +1308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.96051652 +1310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.39405386 +1309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 21.77325773 +1311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.727826763 +1312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.284253381 +1313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.098158017 +1314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.49120938 +1316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.804395398 +1317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.0675378 +1318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 3.908807787 +1315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.428688803 +1320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.760718933 +1319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.43467808 +1321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.192824158 +1323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.236484431 +1324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 2.969850742 +1322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.152990777 +1325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 16.08269812 +1326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.20932791 +1327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.099116699 +1328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.126629246 +1329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 17.51578984 +1331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.51532583 +1330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.718542467 +1333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.455436225 +1332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.960280662 +1334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 15.43011298 +1335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.11110999 +1336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 2.046990156 +1337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.83711061 +1339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 17.16001769 +1338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.317655613 +1340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.590276222 +1343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 16.89850679 +1344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.870490448 +1342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.776264039 +1341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.63543092 +1345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.57422595 +1346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.527299564 +1347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.37354507 +1348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.8600846 +1350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.64359585 +1349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 15.81626009 +1351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.35170994 +1352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.953496307 +1353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.788714722 +1355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.492317352 +1354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.78572334 +1356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 18.16934285 +1357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.33343296 +1359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.845761604 +1358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.167090473 +1360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 2.379447364 +1361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 15.70599678 +1362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.482547837 +1363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 18.9389155 +1364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.706160302 +1365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.57610142 +1366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 16.59780223 +1367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.545943058 +1369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.06287513 +1370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.612108526 +1371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.674139005 +1372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.013377137 +1368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.09266446 +1373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 18.01703704 +1374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.84397905 +1375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.856744473 +1376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 15.33595715 +1379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.14421822 +1377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.602973 +1378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.84005145 +1381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.622412443 +1382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.57265243 +1383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.624871574 +1380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.613782646 +1384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.0120155 +1386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.72613883 +1387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.829852926 +1385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.0169562 +1388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.33361464 +1389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.392074363 +1390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.962137886 +1391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.41361417 +1392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.768135344 +1394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 17.90258115 +1395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.819759116 +1393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.74098167 +1396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.65959689 +1397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.297903558 +1398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.683844652 +1399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.8248957 +1400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.164906574 +1403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.3454603 +1401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.46007158 +1402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.9048026 +1404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 15.29929208 +1405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.081176745 +1406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.56048238 +1407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -1.217044361 +1408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.28569139 +1411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 20.52784191 +1410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.36667153 +1409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.54663186 +1412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.380025234 +1413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 3.220190889 +1414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.05201093 +1416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 2.64716081 +1418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.08229792 +1419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.076609617 +1417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.372817872 +1415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 19.68394314 +1420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.67650766 +1421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.62610376 +1422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.734247417 +1425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.76104376 +1423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.771957033 +1424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.579383168 +1426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.090503981 +1428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 16.7123127 +1427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.79590003 +1429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.40877431 +1430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.816515592 +1431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.60328915 +1432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.291416574 +1433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.02447622 +1434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.375424516 +1435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.448102617 +1436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.57229938 +1438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.603181326 +1437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.40454633 +1441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.263702924 +1439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.05811038 +1440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.59651602 +1442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.84944742 +1443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.443288702 +1444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.420442049 +1445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.329507134 +1446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.90321379 +1449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.66687879 +1448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.3737632 +1450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.7521126 +1447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.31581685 +1451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.118993481 +1452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.2404172 +1454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -3.674322889 +1453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.566724413 +1456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.935689001 +1455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.904262007 +1457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 17.26659135 +1458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.79259628 +1459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.07872238 +1461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.18756231 +1462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.901370182 +1464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.15140801 +1463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 17.6459736 +1460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.70480379 +1466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.882159633 +1465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.656276431 +1467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.686264302 +1469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 15.55649715 +1471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.730343002 +1468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.19065345 +1470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.899168424 +1473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.713475039 +1472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.57322937 +1474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.035351201 +1475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.89211872 +1477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.2560238 +1476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.215212601 +1478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.45071962 +1479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.34860536 +1480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.60987376 +1482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.43180989 +1481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.850042405 +1483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 16.21571825 +1485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.000758352 +1484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 16.023715 +1487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.63945682 +1486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.99274927 +1488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 21.73709832 +1489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.01376993 +1491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.56071607 +1490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.10173173 +1493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.22910505 +1492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.84203884 +1494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.986523082 +1495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.240480121 +1496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 15.38231031 +1498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.821653198 +1497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 17.16412455 +1499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.450113715 +1501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.145024464 +1500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 18.02057364 +1503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.671921689 +1502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.03450033 +1504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 3.426231181 +1505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.68179489 +1506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.733961516 +1508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.38382185 +1509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.30599218 +1511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.58308699 +1507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 17.41855795 +1512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.714097807 +1510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.914724795 +1513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.59293577 +1514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 3.872535877 +1516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 15.19464316 +1515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.10935265 +1517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.56029488 +1518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 1.790057696 +1519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.940897893 +1520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.3651367 +1521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 3.77687669 +1522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.391149479 +1523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.04617013 +1524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.50991293 +1527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.105677439 +1525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.968622922 +1528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 2.642614961 +1530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.0590242 +1529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.659633866 +1531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.861747498 +1526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 16.67126982 +1532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.759496236 +1533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.55886209 +1536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.71050418 +1534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.76621324 +1537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.331962597 +1535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.96842806 +1538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.402899894 +1539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 3.483097725 +1540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 15.85462274 +1541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.532524174 +1542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 16.32211355 +1544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.8814769 +1545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.151412202 +1546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.470095054 +1548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.869436981 +1543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 2.363135757 +1549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 15.99193932 +1547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.43660217 +1552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 16.77424665 +1553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.99719717 +1550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.993954588 +1551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.42639759 +1555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.99999515 +1554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.974379392 +1556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.04032854 +1558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.325629242 +1560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.62200819 +1561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.876546041 +1562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.942454143 +1557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 3.795517677 +1563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.76616589 +1559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 18.09888053 +1564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.39120603 +1565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.091091086 +1566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.01485067 +1567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.43976199 +1568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 15.24991072 +1570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.297253869 +1571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.84187233 +1569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.33394954 +1572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 1.963987059 +1573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.6123645 +1574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.316753999 +1576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.933644106 +1578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.246118033 +1577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.15664161 +1579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.498968844 +1575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.062627164 +1580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.20901428 +1581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.705340706 +1583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.351505484 +1584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 15.59632287 +1582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.02715742 +1585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.05971011 +1587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.914033424 +1586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.500926659 +1589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.31692804 +1588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.545898083 +1591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.305293255 +1592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.181138974 +1590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.14141557 +1593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.43561564 +1594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.224916741 +1597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.52313582 +1595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.18300167 +1598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.71757032 +1600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.99924266 +1596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.754779533 +1599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.374235288 +1601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.616422579 +1602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 3.187118646 +1603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.93821725 +1604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.316110415 +1606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.99037742 +1607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.314612799 +1608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.64456015 +1610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 15.31515721 +1605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 3.265013336 +1609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.224471414 +1613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.852515297 +1612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.796092268 +1614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.33188152 +1615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.205601721 +1611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.12915037 +1617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 3.522030741 +1616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 15.56026282 +1618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.998388273 +1619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.485473013 +1621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.322728957 +1623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.25478199 +1622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.14887578 +1620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.033776037 +1625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.416635403 +1624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.37665258 +1626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.587172753 +1628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.19482598 +1627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.91886183 +1630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.804668851 +1629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 1.811448166 +1631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.09738564 +1632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.74869645 +1633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.939516894 +1634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.40554239 +1636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.984212137 +1637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.413688943 +1635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.08004055 +1638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.016509078 +1640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 1.83688038 +1641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.005850346 +1642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.19604605 +1643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.985937973 +1639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.59913205 +1644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.148373629 +1646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.07039295 +1645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 18.94470711 +1647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.54498105 +1648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.060933115 +1649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.054082816 +1652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.09270565 +1650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.044170138 +1651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.83783884 +1654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.98080133 +1655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.030225615 +1653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.671637633 +1657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.23217468 +1656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.4349374 +1658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 2.820481342 +1660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.659022969 +1659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 20.42290125 +1662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.860045635 +1663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.923321862 +1661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.16543741 +1664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.186602266 +1665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.84813006 +1668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.662288253 +1666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.31836015 +1670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.78549289 +1667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.325518136 +1671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.041984191 +1669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.36950198 +1673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.648573263 +1672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.964405208 +1675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.56208874 +1674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.15547509 +1676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.8023089 +1677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.29852208 +1678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.66024373 +1679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.011921935 +1681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.32581929 +1683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.678676083 +1682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.61373285 +1680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.820798726 +1684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.85371683 +1686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.39859683 +1687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.031584953 +1685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.839396112 +1688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.355399933 +1689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.63524013 +1690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 3.364626391 +1691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.22259793 +1692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.641287442 +1693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.91851641 +1697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.03004912 +1698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.629605035 +1699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 2.755715148 +1696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.48803526 +1695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.31847839 +1694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.10442677 +1701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.399010778 +1700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.39161569 +1702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.079658941 +1703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.64609134 +1706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.372479844 +1704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.283882559 +1705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.068785786 +1707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.46079043 +1708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.962412422 +1709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 18.71071752 +1710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.008246996 +1712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.025543021 +1711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.174971334 +1713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.67632185 +1714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.971160296 +1715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 15.4915525 +1716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 2.354942846 +1717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.989594352 +1718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 15.06188498 +1719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.27665888 +1721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.991057676 +1724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.543452 +1720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.22914758 +1723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.73407977 +1722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.436411494 +1726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 3.188391186 +1725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 17.31360303 +1727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.25140058 +1730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.87962863 +1729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.82398296 +1728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.251442168 +1732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 3.853762541 +1733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 15.76887894 +1734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.86462503 +1731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.02333412 +1735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.986065343 +1736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.8524791 +1737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.926147982 +1738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.3875687 +1739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.800757972 +1740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 20.46444858 +1741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.292403989 +1743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.461912558 +1744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.083704742 +1746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 16.25056832 +1742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.16575794 +1745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.8949994 +1748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 3.424888604 +1749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.26318846 +1747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.8253041 +1750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 3.532228032 +1751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.93097728 +1754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.793843543 +1753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.37315216 +1756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.57172009 +1752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.80607063 +1757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.41902117 +1755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 1.699550709 +1758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.79148564 +1759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.197526952 +1760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.675063537 +1762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.35082664 +1763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 16.37411392 +1761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -1.522538829 +1764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 15.43117773 +1766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 2.674350606 +1765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.61956929 +1767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.04747913 +1768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.83594494 +1769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.10449867 +1770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.72578342 +1774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.18185616 +1771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.54846053 +1775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.500390856 +1773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 16.21928671 +1772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.01874868 +1776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.02059167 +1778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.380300493 +1780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.223059515 +1779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.359226114 +1782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.56567055 +1781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.03220427 +1777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.35548839 +1783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.6950408 +1784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 18.87290549 +1787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.75254224 +1788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.592890109 +1790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 22.86151516 +1789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.31678334 +1785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 17.94643597 +1791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.54837689 +1786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.211118916 +1792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.904956676 +1793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.68368479 +1794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.045122054 +1795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 17.81970087 +1797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.558058103 +1798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.972942821 +1800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.66422222 +1796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.813551095 +1799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.720262756 +1802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 16.87621262 +1801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.488720208 +1804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.812516525 +1806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.64066092 +1805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.207985422 +1807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.05970867 +1803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.26195061 +1808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.64910311 +1809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.832515163 +1810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.478773309 +1811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.945602557 +1812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.72540192 +1813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.11929618 +1814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.848660327 +1815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 15.41164025 +1817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.67809372 +1816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.43605214 +1819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.460449423 +1818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 3.225473307 +1822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.28456665 +1821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 16.49767476 +1823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.710092541 +1820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.13356106 +1824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.33858071 +1826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.799446323 +1825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.85760893 +1827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.54342095 +1828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.471920062 +1829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.419754042 +1830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.15180795 +1831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.32892385 +1832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 15.69992421 +1835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 3.10859733 +1833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.433120615 +1836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.78890861 +1837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 3.747722758 +1838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.766591032 +1839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.87680533 +1834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 15.93234718 +1840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 15.20081935 +1842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 15.68092658 +1841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 2.772859579 +1843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 17.50609217 +1845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 16.33166966 +1844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 18.85045214 +1846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 19.3813914 +1848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.44708147 +1849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.75551955 +1850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.858783878 +1851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 15.48473552 +1853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.561079673 +1854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.06250829 +1847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.828015368 +1852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.373189749 +1855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.74208096 +1857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 16.8499512 +1856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 22.28329921 +1858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.547457833 +1859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.18083861 +1860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.82020356 +1862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.27728854 +1861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.485630341 +1863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.096465429 +1865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.55209565 +1864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.085626561 +1867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.204455094 +1866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 17.35936843 +1868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.39224026 +1869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 3.302395365 +1870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.889156341 +1871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 17.60664685 +1872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 19.32808828 +1873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.94743104 +1876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.449521854 +1874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.622348198 +1875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.042144967 +1877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 3.631627104 +1879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.307362627 +1881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.86252937 +1878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 17.9035947 +1880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.74668165 +1882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.13491918 +1883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.433648797 +1884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.7848862 +1885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.648967627 +1886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.82818815 +1887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.58425019 +1888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.041851633 +1893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.975857694 +1889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.6664501 +1891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.4569585 +1890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 15.90180616 +1892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.351458013 +1894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.507377315 +1895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 19.5401048 +1899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.231291914 +1898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.34751989 +1900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.689803049 +1901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.91310204 +1897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.521417467 +1902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.91585217 +1904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.74872375 +1903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.32490989 +1905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.80199034 +1906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.644481898 +1896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.90090471 +1907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.14901851 +1908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 3.662658998 +1909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.704143399 +1911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 3.599032984 +1912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.0937512 +1913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.47994337 +1916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.26685937 +1914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.59622724 +1910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.51451017 +1917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.21356189 +1915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.881310277 +1918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.966004765 +1919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.0020823 +1920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 3.330516973 +1922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.2911526 +1923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.34179749 +1924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.20470327 +1925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 16.87965048 +1921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 16.50351933 +1926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 22.67521957 +1927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.300786435 +1928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.70280688 +1930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.32201132 +1932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.66008579 +1933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.58345768 +1934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.42396787 +1931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.224699226 +1935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.82890732 +1936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.69012466 +1929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 15.2634265 +1939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.274255085 +1941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.86082824 +1940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.42426334 +1942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.074191318 +1937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.619789546 +1943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.489431568 +1944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.846426762 +1938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.67128491 +1946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.692031863 +1947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.131038525 +1948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.84108385 +1949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.218986897 +1950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.51610297 +1951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.773056639 +1945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.810273036 +1952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.06708304 +1955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.975501021 +1956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.82152048 +1954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.27020339 +1953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 14.29293897 +1957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 3.083857773 +1959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.989999314 +1960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.28461425 +1958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.251227645 +1961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.190261266 +1963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.58040147 +1966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.974335479 +1964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.53343004 +1965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.175403715 +1967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 4.594084612 +1962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.241714867 +1969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.12489638 +1968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.48792628 +1970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 15.5085321 +1972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.90956133 +1971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.20669248 +1974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.927023528 +1973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.96747381 +1975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.1760483 +1976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.772969473 +1977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.743124733 +1978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 12.86418207 +1979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.124733302 +1980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.04480401 +1981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.111388605 +1982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 17.19485754 +1983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 15.63593626 +1984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.97645528 +1987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 5.962589809 +1986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.88631229 +1988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.52509514 +1985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.032393386 +1990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.38700041 +1989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 2.929993498 +1991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 11.23015853 +1992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 10.55534452 +1994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 15.53744818 +1993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.9612188 +1995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 13.24564501 +1998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 15.22896781 +1996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 7.493900936 +1999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 18.15876497 +1997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 8.034712191 +2001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.03332427 +2000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.88978187 +2003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.733454042 +2002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.24405263 +2004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.65695529 +2007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.095540675 +2006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.795799259 +2005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.512411764 +2010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.906871024 +2009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.3430624 +2008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.06407901 +2011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.67343574 +2012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.716219709 +2013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.20572853 +2014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.34554161 +2016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.63535386 +2017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.28670704 +2018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.042543719 +2019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.74684752 +2015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.53390001 +2020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 17.7675396 +2021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.7896696 +2022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.245475841 +2024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 2.647754425 +2023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.0389975 +2025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.388474139 +2026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.137763214 +2027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.308946161 +2028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.381590994 +2029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.79823893 +2030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.07548571 +2031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.03527634 +2032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.48715955 +2033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.471926992 +2034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.40677512 +2037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.39717252 +2038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.30613429 +2036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.11599637 +2039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.27457769 +2040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 3.387589229 +2042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.67137314 +2035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.846176169 +2041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.49233852 +2043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.21065157 +2044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.03823066 +2045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.3388613 +2046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.73306466 +2047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.137247207 +2048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.211743707 +2050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.318667617 +2051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 2.556937533 +2049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.657943015 +2052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.051548449 +2053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.49069699 +2054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.15222674 +2056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 19.07348341 +2055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.63079431 +2057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.96975907 +2058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 3.797355074 +2059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.03413937 +2060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.009075338 +2061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.40703081 +2062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.66839036 +2063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.19467159 +2065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.680169862 +2064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.46052284 +2066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.51090463 +2067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.477635658 +2068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.454913248 +2069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.949273843 +2070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.00061651 +2071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.546100913 +2073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.49628376 +2072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 16.99202076 +2075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.322703252 +2074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.97864491 +2076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.391663145 +2079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.641843149 +2078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.574155045 +2080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.59365178 +2081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.9074728 +2077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.840274339 +2082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.145010045 +2083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 16.37086947 +2084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.676359503 +2085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.51895269 +2086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.366334395 +2089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.995624709 +2087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.343264415 +2090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.951668912 +2088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.988015375 +2091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 16.26449497 +2092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.87920405 +2093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.107220763 +2094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.481278551 +2096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.93767251 +2097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.671924891 +2095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.23976212 +2098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.1001019 +2099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.526901446 +2100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.88015926 +2101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.254789878 +2102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.046525268 +2103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.213405474 +2106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.608510972 +2104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.85444458 +2105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.40642277 +2107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.988250564 +2109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.28048119 +2108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.79585788 +2110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.233436627 +2112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.765764967 +2111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.654861301 +2113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.14436739 +2114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.39297547 +2115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.979090838 +2116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.217794515 +2117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.74835542 +2118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 16.60361637 +2120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.605948758 +2119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.551719649 +2121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.648604304 +2122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.58887019 +2123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.79690504 +2124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.88779322 +2126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.21902864 +2125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 16.59327803 +2128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.41945284 +2127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.692400916 +2129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 18.20679299 +2131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.720116401 +2130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.47285222 +2133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.333996975 +2132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.432158347 +2134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 16.36980547 +2136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.50888679 +2135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.27958475 +2137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.09394974 +2140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.348120712 +2139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.61342228 +2141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.56663553 +2142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.87684806 +2143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.84817888 +2144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.36614336 +2138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.14288333 +2145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.249633556 +2146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.67505545 +2148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.43094722 +2149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.390646386 +2150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.45157145 +2151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.114589748 +2147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.255135974 +2152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.894596208 +2153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.377651238 +2154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.62877924 +2155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.76485738 +2156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.507447761 +2157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.82984651 +2158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.39916648 +2160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.023547315 +2159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.658264677 +2161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.287598096 +2162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.53305611 +2163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.53577877 +2166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.923670766 +2165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.52430279 +2164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.29288184 +2168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.21447776 +2167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.697924606 +2169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.298368347 +2170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.434029516 +2171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.862102246 +2172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.929092622 +2173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 3.616966656 +2174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.71880862 +2176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.044733251 +2177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.23542876 +2175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.11210711 +2178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.430323171 +2179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.52259341 +2181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.12153669 +2180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.53187895 +2182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.613169602 +2183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.65727486 +2184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 21.27434423 +2186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.67348005 +2185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.23896808 +2187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.319400626 +2188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.497099465 +2189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.90922194 +2190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.359261646 +2191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.9960232 +2192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.390976881 +2193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.109031852 +2196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.03310455 +2195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.90967755 +2197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.645512824 +2194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.74837368 +2198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.15389689 +2199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.45677377 +2200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 17.39908738 +2201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.879975451 +2202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.92533169 +2203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 3.703451126 +2204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.410816553 +2205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.851686624 +2206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.35001059 +2207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.06491683 +2208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.74972412 +2209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.27755228 +2211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.26482214 +2210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.406061367 +2212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.91874834 +2213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.795388149 +2214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 3.102007429 +2215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.023349471 +2216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.478698903 +2217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 19.27339676 +2218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.014411137 +2220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 20.07763233 +2219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.92604272 +2222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.87884542 +2223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.73881646 +2221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.82857172 +2225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 3.776263801 +2224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.000069497 +2226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 16.66230395 +2228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.166308411 +2227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.11674078 +2230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.21210401 +2233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.97950099 +2234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.72305015 +2232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.43843849 +2231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 16.84871107 +2229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.088153617 +2236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.3773342 +2235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.257625364 +2238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.56765728 +2237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.76189644 +2239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.07633502 +2240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.299972195 +2242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.32608988 +2241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.974075185 +2244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.770088152 +2243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.166357118 +2246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.87150547 +2247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.39518377 +2245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.848355135 +2248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.884231445 +2249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.4795258 +2250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.299894052 +2251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.46872578 +2252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.59906632 +2253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.980588097 +2255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.24511806 +2256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.552737665 +2257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.256037092 +2254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.57710307 +2258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.53484307 +2260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.940699452 +2261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.16147474 +2262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.04621226 +2259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.954762736 +2263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.59379301 +2264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.15518693 +2265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 16.30064579 +2267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.435302334 +2271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.736894059 +2266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.315231298 +2269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.99229478 +2270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.877896693 +2272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.65090759 +2268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.255438971 +2273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.49908779 +2275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 17.03407561 +2274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.04191906 +2277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.075215048 +2278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.031379255 +2280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.31249984 +2276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.12381366 +2281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.916205216 +2279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.543795018 +2282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.637896734 +2283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.918995242 +2285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.660912965 +2284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 3.286911349 +2286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.99541201 +2288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 26.42065258 +2287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.462903072 +2289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.19436169 +2290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 17.48987485 +2292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.90126772 +2291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 18.60092016 +2295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.67133361 +2294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.288645473 +2293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.07125822 +2296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.05123077 +2297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.15355422 +2298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.19393743 +2299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.74309659 +2300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.25095864 +2301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.969837747 +2302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.298081218 +2303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.03073728 +2304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 3.303859172 +2306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.69787575 +2307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.399866831 +2308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.91593444 +2305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.52515004 +2309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.177622231 +2310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.364536429 +2311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.268194721 +2312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.551654477 +2313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.295735448 +2314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 17.09383549 +2315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.58613123 +2316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.161792351 +2318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 16.9270193 +2317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.122488186 +2319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.77531706 +2320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.311254255 +2321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.05615647 +2322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.67046649 +2324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.97682823 +2323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.590958209 +2325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.366234298 +2326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.7877427 +2327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.510113146 +2328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.12455808 +2329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.2528829 +2330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.201692407 +2331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.88358678 +2332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.80606077 +2333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.113218653 +2335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.29198547 +2336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.657194892 +2337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.477221038 +2334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 16.20137096 +2338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.431315263 +2340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.23565328 +2339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.89868696 +2341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.353112197 +2343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 1.220011535 +2342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 18.8732643 +2344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.66939115 +2345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.941337847 +2346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.05335849 +2347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.66263151 +2348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.01260347 +2349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.10203931 +2351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.24096689 +2350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 2.599275318 +2354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.80626472 +2355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 16.64081941 +2352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 3.326409936 +2356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.50796069 +2353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.50897309 +2357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.50166553 +2358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.72029361 +2359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.97397469 +2360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 3.527078261 +2361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.847797851 +2362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.53511452 +2363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.12600407 +2365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.76414654 +2364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.930093482 +2367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.29256639 +2369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.95882516 +2368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.317067564 +2366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.124306865 +2371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.665780841 +2370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.732208412 +2372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.732766795 +2373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.20414561 +2374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.81682894 +2375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 16.58896261 +2376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.05929491 +2377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.910666231 +2378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.41697174 +2379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.15557473 +2380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.87953659 +2382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.686890324 +2383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.665767687 +2384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.474484002 +2385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.274044363 +2386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.394947525 +2387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.00625865 +2388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.84111186 +2381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.21001783 +2390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.41758674 +2389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.684831425 +2393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 2.286704613 +2391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.54651671 +2392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.616395257 +2395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.785390128 +2396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.162021705 +2394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.029397594 +2397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 17.55227093 +2399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.924398867 +2401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.29042632 +2400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.9241934 +2402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.12779353 +2398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.82375803 +2404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.98150401 +2405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.05727314 +2406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 3.456648304 +2407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.593790865 +2408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.700468432 +2403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.45103792 +2410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.393275474 +2409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.66355527 +2411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.172983593 +2412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.841285887 +2413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 3.34330091 +2417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.72073258 +2416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.31993571 +2414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.948475649 +2418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.88496908 +2415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.36789926 +2420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 2.017153319 +2421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.886519397 +2419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.318024687 +2424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.15819017 +2425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.98006491 +2423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.078071903 +2426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.14225106 +2422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.54552505 +2427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.322648482 +2428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 18.24176336 +2429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.681614432 +2430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.88477887 +2433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.596930533 +2435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.882666079 +2434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.383099569 +2431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 19.03339447 +2432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.36301789 +2436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.15131202 +2438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.31745858 +2437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 23.18860761 +2440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.16999287 +2442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.3735574 +2443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.60637623 +2441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.874050149 +2439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.260963026 +2444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.190955333 +2445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.58497106 +2446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.92812074 +2447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.30936508 +2448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.45667446 +2449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.008809894 +2450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 17.13352381 +2451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.11234665 +2453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.3019946 +2454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.29065239 +2452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.62353092 +2456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.97121803 +2459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.65521071 +2458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.9365756 +2455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.20681199 +2457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.095835468 +2460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.81965823 +2462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.42669815 +2463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.03758906 +2461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 17.58472791 +2466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.386220007 +2465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.831949773 +2468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 2.652380905 +2467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.86322607 +2464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.38196706 +2471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.95094676 +2470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.393079586 +2469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 1.26354792 +2472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.388827667 +2473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.67619852 +2474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.539034064 +2476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.51458634 +2475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.391877023 +2478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.63662182 +2477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 1.639591716 +2480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.72963698 +2479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.686284785 +2482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.15355148 +2481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.15270179 +2484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.568957065 +2483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.229358941 +2486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.15042058 +2487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.967234005 +2489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.90375049 +2490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.4846993 +2485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.71413374 +2491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.277172778 +2492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.062981514 +2488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.73029197 +2493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.32916011 +2494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.14457273 +2495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.382497884 +2497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.217076496 +2496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.63957403 +2498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.06983522 +2499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.884355158 +2500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.599242066 +2502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 1.582813764 +2501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 18.58925911 +2503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.31861839 +2504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.10618971 +2505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.519961486 +2506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.838601328 +2507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.23012326 +2510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.10366292 +2509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.57232232 +2511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.84173472 +2513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.98585815 +2512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.320227082 +2508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.35912823 +2515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.167400159 +2514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.86416355 +2517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.291357513 +2518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.221405843 +2519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.606092821 +2520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.745778182 +2516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.03141329 +2522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 18.22180856 +2523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.634892207 +2521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.33267028 +2524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.964718819 +2525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.11250441 +2526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.424059557 +2528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.40954752 +2527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.5485492 +2529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.748400781 +2530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.278219944 +2531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 16.18572678 +2532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.83783679 +2533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.014077233 +2534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.25924672 +2538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.00743202 +2536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.018112923 +2535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.55764166 +2537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.871344954 +2540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.7225671 +2539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 18.29500386 +2541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.87483257 +2542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.7426321 +2544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.40920766 +2543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.51743705 +2545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.797440187 +2546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.08014972 +2547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.50466066 +2549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.29821781 +2550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.357416287 +2553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.75989482 +2552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.64915579 +2551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.76344945 +2548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.51949779 +2554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 3.719013125 +2555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.90041066 +2556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.463784794 +2557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 17.16169882 +2558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.5943355 +2559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.54276603 +2560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.509027367 +2561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.85318542 +2562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.586127747 +2563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.638956279 +2564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.966730629 +2565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.09125254 +2566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.910629855 +2567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.996423808 +2568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.934591054 +2570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.5871599 +2571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.806444794 +2569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.758191612 +2572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.768122337 +2573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 16.14122512 +2574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.501913242 +2575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.50013389 +2576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.53261427 +2578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.62736956 +2577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.61224762 +2579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.23806957 +2580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 17.49699809 +2581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.717344161 +2582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.55620324 +2583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.39191597 +2584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 20.50507124 +2586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.74706378 +2585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.85795016 +2588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.023292709 +2589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.5261588 +2587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.47738298 +2590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.68997849 +2591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.21877808 +2592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.33772881 +2594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.037776027 +2593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.94283234 +2595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 2.710391662 +2596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 18.21307452 +2598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.840044493 +2597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.364364694 +2599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 3.312787916 +2600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.338001893 +2601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.075239348 +2602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 16.13573333 +2603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.622014941 +2604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.634094176 +2605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.370122996 +2608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.65403411 +2607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.244290883 +2609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.07836983 +2610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.05399251 +2611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.0516802 +2612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 2.36324254 +2606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.46161838 +2613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.743730263 +2614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 17.64247184 +2615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.951286 +2616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.76779679 +2617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.027692886 +2618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.338203177 +2619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 23.37187276 +2620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.145916067 +2621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.894503062 +2622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 16.74895105 +2623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 2.041144884 +2625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.88187198 +2624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.43855961 +2626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.399617467 +2627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.206868982 +2628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.68258668 +2629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.996735924 +2630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.46940549 +2631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.98439126 +2633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 16.7195439 +2632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.273964561 +2634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.02699537 +2635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.65361021 +2636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.71808787 +2637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.24334631 +2639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.49804631 +2638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.949961537 +2641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.305972105 +2642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.39332527 +2640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.21597023 +2643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 16.29519596 +2644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.86971467 +2645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.007508647 +2646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.88453414 +2647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 17.76732468 +2648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.0503797 +2649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.76562294 +2650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.52145737 +2651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.74168434 +2653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.755693942 +2652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 18.09453132 +2654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.11513635 +2656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.17922442 +2655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.642354178 +2658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.97801606 +2657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.54378117 +2659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.7014509 +2663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.27001918 +2660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.221859928 +2662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.07658072 +2664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.17558095 +2666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.33415033 +2665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.034286938 +2667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.56780953 +2661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.38476928 +2668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.11996246 +2669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.362205883 +2670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.61275838 +2671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.1539026 +2672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.308720277 +2674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.303134012 +2673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.616279584 +2675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.834497995 +2676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.900245685 +2677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 3.502709381 +2678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.54998228 +2679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 16.67804221 +2680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.26822602 +2681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.66815737 +2682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.23653441 +2683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.909328298 +2684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.24724902 +2686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.22614538 +2688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.01734355 +2687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.940531171 +2685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.827209328 +2689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.439375604 +2690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.895620016 +2691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.93373384 +2692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.17846652 +2694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.45108786 +2697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.601722784 +2695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.28550595 +2696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.783517667 +2693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 16.61243794 +2698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.586532957 +2700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.43068916 +2699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.05871868 +2701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.30829991 +2702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.627917237 +2704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.03675682 +2705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 18.59764843 +2706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 1.90735611 +2703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.560219092 +2708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.07127561 +2707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.813832787 +2709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.504764987 +2712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 17.94066713 +2711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.715999366 +2710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 21.07457912 +2713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 16.41186232 +2714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 16.91536218 +2715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.950535203 +2716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.2978044 +2720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.552225048 +2717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.921769 +2719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.490055253 +2718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.205379912 +2721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.94599563 +2722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.041877782 +2723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 21.58241418 +2726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 3.749377134 +2728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 3.887661911 +2727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.95495068 +2725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.29085408 +2729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.43214344 +2724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.42354359 +2730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.178008236 +2733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.30519728 +2732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.77671307 +2734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.129732358 +2731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.233321477 +2735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.874425645 +2736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.24074803 +2737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.605225826 +2738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 17.69960371 +2739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.43687327 +2741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.76752313 +2742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 17.33452517 +2743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.08536598 +2740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.68996311 +2744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.98552808 +2745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.22486166 +2749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 21.48423667 +2750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.627594794 +2747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.642271478 +2746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.37574064 +2751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.72777769 +2748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.780783708 +2752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 16.35262595 +2753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.27858358 +2754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.419066065 +2756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.45313857 +2758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.9439738 +2755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.78167458 +2757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.00373356 +2759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.00539487 +2760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.888981862 +2762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.10207189 +2764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 1.941949514 +2763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.09316835 +2766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.592513749 +2767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.719449721 +2761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.391203151 +2765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.926927799 +2768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.21008308 +2770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.77441956 +2772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.361368 +2771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.033763228 +2769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.92662737 +2773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.33139593 +2774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.300397661 +2775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.26760902 +2776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.21994247 +2777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.51875473 +2778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.057845608 +2779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.52791894 +2781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.01665363 +2780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.887277 +2783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.49304021 +2782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.099446203 +2784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.879343784 +2785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.02596196 +2789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.576481063 +2786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.84458429 +2788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.531526571 +2787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.7468046 +2790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.949566678 +2791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.117543695 +2792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.334713898 +2793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.491668179 +2796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.28090525 +2795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.006331848 +2794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.27683248 +2797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.83581514 +2798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.00671619 +2799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.8849698 +2801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.31569957 +2800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.47771387 +2802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 2.81132878 +2803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 17.56200761 +2804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.073998549 +2806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.71747864 +2805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.94930792 +2807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 3.636356664 +2809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.484513005 +2810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.58605926 +2811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.64206026 +2813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.23691142 +2812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.59850081 +2808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.67179483 +2814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.14512891 +2816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.33762558 +2817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.651895088 +2815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.63173643 +2818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 16.2236609 +2821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.712330898 +2819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.59148851 +2820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.252852143 +2822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.73868656 +2823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.230643326 +2825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.35372774 +2824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.51204029 +2827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.40617733 +2829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.97020268 +2828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.17511599 +2826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.1238659 +2830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 16.59764737 +2833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.182190093 +2831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 16.85272001 +2836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.66650709 +2834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.202836403 +2835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.848900525 +2832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.83320811 +2837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.521254421 +2838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.293353451 +2841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.58718452 +2842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.56194062 +2843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 16.38489126 +2844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.534927009 +2839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.506847953 +2840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.80117663 +2845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.63000928 +2847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.17690208 +2846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.95617808 +2848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.477090923 +2849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.02919317 +2851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.861121806 +2852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.851388855 +2850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.677688625 +2853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.847861604 +2855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.501589287 +2854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.617477379 +2856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.11659401 +2857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.925438977 +2858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 17.55069722 +2859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.771747945 +2860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.99593056 +2861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.632584062 +2862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 3.279722355 +2864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.45459254 +2865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.572264671 +2863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.29855417 +2867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.27962685 +2866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 16.8641446 +2869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.30092842 +2868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.93118851 +2870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 16.013725 +2871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.92356496 +2872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.20222931 +2875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.769740144 +2874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.467122485 +2873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.49266776 +2876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 3.569886736 +2877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.220916313 +2878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.52291544 +2879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 15.83927964 +2880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.706572974 +2881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.40369371 +2883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 19.43913193 +2884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.7951901 +2882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.54272711 +2886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.77292094 +2887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.36498011 +2888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.528784951 +2889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.65301081 +2885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.404047843 +2890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.967172634 +2892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 3.561562165 +2893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.39091411 +2891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.282957251 +2895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.17125853 +2894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.38611741 +2898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.660817418 +2897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.371209655 +2900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.122987804 +2899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.319904772 +2901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.32579044 +2902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.58158167 +2896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.519339831 +2903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.80556487 +2904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.308852141 +2906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.828852404 +2908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.889470815 +2909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.852794854 +2910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.02666938 +2911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 16.49352594 +2905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.546736462 +2907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.469561857 +2912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.14090006 +2914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 17.79521874 +2915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.569866315 +2916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.64235491 +2917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.0711865 +2913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.703486557 +2918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 16.30931066 +2919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.472117825 +2920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.54824504 +2921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.992705874 +2923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.607936496 +2922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.92515229 +2924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.696217227 +2925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.587824019 +2927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.895428148 +2928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.57106236 +2930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.96985617 +2931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.952288648 +2932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.271649183 +2933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.990150921 +2926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.98838932 +2929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.102959198 +2935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.96529675 +2936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.211633082 +2938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.486135248 +2937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.49622753 +2934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.070473543 +2940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.725459632 +2939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.29902119 +2941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.28605663 +2942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.65507292 +2945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.180818727 +2944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 5.345453865 +2946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.96840721 +2943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 2.263349314 +2947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.0682799 +2948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.71164866 +2949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 3.165885537 +2951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.193988143 +2952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.760533296 +2950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.472176724 +2953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.36176684 +2954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 3.324279112 +2956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 2.555321133 +2955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.39567437 +2957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.23239386 +2959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.95784317 +2960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.970555569 +2958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.18574227 +2961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.442137055 +2962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.42478108 +2963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.115982995 +2964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.095371743 +2965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.880020181 +2967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 17.7479943 +2966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.44681932 +2968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 17.45117624 +2969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.456620374 +2970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.839190579 +2971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.67009411 +2974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.38527449 +2973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.69800901 +2976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.103252906 +2972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.777398811 +2975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.16869297 +2978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.876985355 +2979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.268209102 +2977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.5609231 +2980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 11.7962281 +2981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 2.059639203 +2982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.506619328 +2983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 6.582873885 +2984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.385478 +2985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.436455737 +2987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 20.44301371 +2986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.574615864 +2988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 14.87467031 +2989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.60998153 +2990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.180691359 +2991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.85477098 +2992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 9.879538026 +2994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.373563656 +2993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 10.86828001 +2995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 17.6797843 +2997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 8.228447131 +2998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 4.153919243 +3000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 13.14053775 +2996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 7.442535811 +2999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 12.21724989 +3001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.174695074 +3003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.33907693 +3002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.470589402 +3004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.90422124 +3006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.886545691 +3005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.949927473 +3009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.34476252 +3008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.796778705 +3007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.850980323 +3010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.708325619 +3011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.7050934 +3012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.645239512 +3013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.19090129 +3014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.98436747 +3015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.19229756 +3018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.46341266 +3016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.16264443 +3017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.10136149 +3020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.41517261 +3021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.30736683 +3019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.41520755 +3022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 17.47431279 +3023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.181777171 +3025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.89561904 +3024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.37454475 +3027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.227837027 +3026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.316322493 +3029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.100448666 +3028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.19748601 +3030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.79885065 +3031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 2.413046737 +3032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.49090717 +3034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.75240528 +3035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.12485609 +3038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.746871322 +3037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.363583967 +3039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.89912298 +3036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 18.84588054 +3040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.164034829 +3033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.748736331 +3041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.47747162 +3042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 17.95060128 +3044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.863298745 +3045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.72879382 +3046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.878746756 +3043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.38460044 +3047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.0110216 +3048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 3.773123053 +3049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.01986602 +3050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.42146588 +3051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 17.77083426 +3053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 17.63465356 +3054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 2.904402711 +3052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.54458544 +3055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.163792726 +3056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.52086319 +3057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.90748144 +3059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.88676081 +3061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.43140922 +3062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.749519454 +3063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.137568261 +3060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.28114072 +3065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.40232078 +3066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.428960825 +3058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.489865751 +3068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.311698795 +3064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.2500358 +3067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.283696832 +3069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.49481878 +3070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.677321473 +3071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.01294602 +3072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.39308639 +3073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.625151461 +3074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.72820008 +3076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 16.14083767 +3075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.4503366 +3077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.172682211 +3079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.87081684 +3080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.900728715 +3078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.79932377 +3084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.24311244 +3085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 16.22158424 +3082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.388580231 +3081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.834985124 +3086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.716533123 +3083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.53358803 +3087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.838257014 +3088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 2.185999327 +3089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.47508408 +3090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.29356688 +3091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.657333882 +3092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 17.10562899 +3093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.930216779 +3095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.68532189 +3094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.157062983 +3098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.096467203 +3096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.610588839 +3097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.57853239 +3099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.344740212 +3101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.22585018 +3103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.478968927 +3100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.36605848 +3102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 17.03468581 +3105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.908778317 +3104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.93574428 +3106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.115360089 +3107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.515453 +3108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 21.05885164 +3111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.520060972 +3110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 19.40592951 +3109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.116860019 +3113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.4320283 +3112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 3.122807338 +3114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.292012878 +3115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.071780197 +3116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.282977635 +3117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.30436532 +3118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.879587021 +3120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.35401758 +3119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.575101142 +3122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.050681581 +3121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.160754181 +3124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.29681044 +3125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.9596012 +3123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.6558555 +3126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.689605548 +3127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.591131033 +3130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.587400461 +3128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.03646159 +3129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.90622555 +3131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.141788451 +3132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.4726259 +3133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.671641697 +3135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.331344406 +3134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.226682314 +3136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.1273066 +3138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.05154305 +3137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 17.44577446 +3139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.751112822 +3141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.31522755 +3140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.67749649 +3142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.92681125 +3144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.173105627 +3145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.85950261 +3147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.459027212 +3146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.551330133 +3148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.355656169 +3149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.00958048 +3150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.842735139 +3143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.10250225 +3151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.239843895 +3152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 17.6881631 +3155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.321513417 +3154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.248648708 +3156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.18716836 +3153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.826614682 +3157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 19.02848928 +3158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.25830638 +3160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.06533967 +3159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.58232322 +3164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.08751159 +3162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.35097305 +3163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 20.68000837 +3165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.656886923 +3161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.625201415 +3167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.585769 +3168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.162876002 +3166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.139227729 +3169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.42748298 +3172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.44033378 +3171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.66067638 +3170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.21118885 +3173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.489909756 +3174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.575619028 +3177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.795227587 +3176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.0149375 +3178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.71313748 +3179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.08796727 +3175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.37857074 +3180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 4.551230444 +3182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.381958338 +3181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.433862546 +3183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.80848242 +3185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.738995926 +3186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.879997758 +3187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.201506906 +3188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.66884491 +3189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.514594257 +3190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.55966354 +3191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.86530106 +3192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.96819159 +3194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.63060887 +3193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.39161559 +3196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 3.525262968 +3195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 4.425789522 +3184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 4.344761932 +3197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.96184956 +3198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.57039788 +3199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.891431744 +3201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.749419554 +3203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.370150083 +3202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.367405603 +3200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.83607664 +3204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.513769254 +3206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.494303858 +3207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.97381535 +3208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.747459625 +3205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.437533776 +3210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.621059208 +3209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -1.010869467 +3211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.920365317 +3212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 18.58255559 +3213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 3.762570073 +3214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.13664724 +3215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.498221908 +3216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.17134983 +3218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.627401776 +3219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.280896148 +3217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.03563672 +3221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.969843792 +3222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.434582899 +3220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.421557904 +3223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.817989493 +3224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.28654882 +3225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.48132643 +3227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.335670942 +3229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.454040193 +3228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.0614593 +3230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 3.748584624 +3231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.979973969 +3232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 1.845868063 +3226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 16.6471746 +3233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.204557236 +3234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.29503197 +3235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 4.748295709 +3236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.33916028 +3238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.16896199 +3237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.16542262 +3239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.33644272 +3240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.82015089 +3241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.38149574 +3242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.30459841 +3243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.16914213 +3244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.587416034 +3245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 16.02264187 +3248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.922410318 +3246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.864137993 +3249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.088641758 +3250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 2.150015321 +3251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.99841931 +3247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.20369852 +3252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.765180926 +3253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 16.13281226 +3255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.729057258 +3254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.023436916 +3257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.389190551 +3258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.057083512 +3259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.344438477 +3256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.2434057 +3261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.98820057 +3260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.07707435 +3263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.487934303 +3262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.353937127 +3264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.043426488 +3265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.23212431 +3266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.183831974 +3268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.20954806 +3267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.78253065 +3269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 3.210459815 +3270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.579270469 +3271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.33880126 +3272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.500992096 +3274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.61855337 +3273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.92895873 +3275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.710535035 +3276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 4.105371971 +3277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.639577134 +3278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 4.280946357 +3282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.610009 +3279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.30244433 +3281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.10986096 +3280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.56042322 +3283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.70332323 +3285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.35156154 +3286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.974067914 +3284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.09508396 +3287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.50053263 +3289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.83560851 +3288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.11018445 +3290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.16932574 +3291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.902944347 +3292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.0702616 +3294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 3.053679872 +3293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.93870441 +3295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.164101171 +3296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.06615921 +3298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.32688799 +3299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.30475839 +3300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.115721554 +3297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 18.13510154 +3301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.07222526 +3303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.982888436 +3302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.856780802 +3304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.49250566 +3305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.12952562 +3306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.45829045 +3307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.18731665 +3309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.61897696 +3308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.63383373 +3311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 1.931899067 +3310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.02538451 +3312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.790734406 +3314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.301212233 +3315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.92609018 +3313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.72294461 +3316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 16.29028703 +3319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.004584913 +3318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.524960548 +3320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.8271655 +3317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.14641673 +3322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.79081547 +3321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.008337608 +3323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.589378085 +3326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.93968255 +3327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.523565922 +3325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.23263289 +3324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.20992965 +3328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 4.998511744 +3329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.84662075 +3330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.51833739 +3331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.96197535 +3333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 19.0067764 +3334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.58267079 +3335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.64671439 +3332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.057279256 +3337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.011176002 +3336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 16.61582783 +3338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.33249701 +3339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.983530748 +3340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.71832901 +3341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.752936025 +3343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.38758718 +3342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.18737801 +3344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.976641865 +3346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.92896295 +3345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.011164773 +3347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.74138952 +3348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.16406842 +3349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.9157104 +3350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.81587352 +3351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.11921486 +3352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.787065126 +3353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.135340814 +3355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.06656492 +3354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.36715223 +3357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.479611644 +3358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 2.021759634 +3356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 4.301935821 +3360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 2.917539821 +3361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 19.11703445 +3359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.38277517 +3362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 17.19268501 +3363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 17.81119668 +3364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.939615231 +3366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.05339968 +3365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.687978026 +3367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 16.38620327 +3368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.85928475 +3369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.524400262 +3370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.723195752 +3373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.186603619 +3372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 17.95986727 +3374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.661489287 +3371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.67301282 +3375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.572735206 +3376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.681251856 +3377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.04389393 +3378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.692465569 +3381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 1.530624148 +3380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.691171602 +3379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.387862607 +3382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.18582332 +3383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.43623272 +3384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 16.77439492 +3386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.597872895 +3385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.94162715 +3388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.896098715 +3389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.14721688 +3387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.07406295 +3391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.21867646 +3390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.08152241 +3392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.433862506 +3393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.88812598 +3394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.65614319 +3395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.4603486 +3396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 4.132156361 +3397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.66622455 +3400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.050905117 +3398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.03156538 +3399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.53860394 +3401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.893268078 +3403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.12950654 +3404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.92426549 +3402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.01185841 +3406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.35932741 +3407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.86180218 +3405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.64478952 +3408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 16.75605504 +3410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.693514927 +3409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.04370262 +3411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.200690648 +3412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.138820766 +3413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.96169725 +3415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.764064763 +3414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.74802336 +3416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.834982006 +3418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.13015382 +3417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 4.13756151 +3420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.499049112 +3421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.38244192 +3422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.684256439 +3423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.617447659 +3419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.392570661 +3424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.67134561 +3425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 21.62071342 +3426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.57849763 +3427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.08660814 +3428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.296607514 +3429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.054955921 +3431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 16.28245422 +3430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.542728697 +3434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.83114129 +3433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.054574721 +3435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 18.37915494 +3436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.53619219 +3432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.3968287 +3439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.815359592 +3437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.265146101 +3438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.952398394 +3440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.078324553 +3441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.09628677 +3442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.91105593 +3443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.763259182 +3444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.63501755 +3445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.562412223 +3447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.17417082 +3446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 20.20939622 +3448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.75246217 +3449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.313697324 +3450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.93095978 +3451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 2.822547262 +3453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.46215954 +3454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.406212274 +3452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 4.508878347 +3455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.562112115 +3456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 4.112042497 +3458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 17.18797847 +3457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.81271375 +3459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.27525585 +3460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.67977252 +3461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.862145275 +3462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 19.23789808 +3464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.777829055 +3463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.716484102 +3467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.088519549 +3465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.80767824 +3466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.55080074 +3469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.347776033 +3468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 16.57655721 +3472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.11030971 +3470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.63990023 +3471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.492486211 +3473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.870577853 +3474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.28845623 +3477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 17.2654988 +3475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.31210563 +3478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.352542602 +3480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 18.22960518 +3476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.420771817 +3479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.30066735 +3481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.004490606 +3482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.50044008 +3484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.288774505 +3483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.549860643 +3486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.284704 +3487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.59497687 +3485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 4.923300797 +3489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.387283549 +3488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 16.32524811 +3490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.659600653 +3492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.51913851 +3493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.008228414 +3494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.995673366 +3491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.219519258 +3495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.358977595 +3496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 4.15215599 +3497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 4.956439159 +3498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.57039595 +3499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.54960182 +3501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.590423506 +3502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.900426518 +3500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 17.54040685 +3503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.326124017 +3504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.975590317 +3505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.709617568 +3507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 16.28735413 +3508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.806259394 +3506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.86700831 +3509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.702103 +3510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.171513865 +3512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 18.49295285 +3511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.75837091 +3513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.82868243 +3514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.37211902 +3516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.933447723 +3518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.627616353 +3517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.69202431 +3515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.12156215 +3520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.485056177 +3519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.99928159 +3522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.505508523 +3524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.699908382 +3525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.000871026 +3521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.314176451 +3526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 4.267346694 +3523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.18485516 +3528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.186981055 +3529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.73561329 +3527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.94946922 +3533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.684927309 +3530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.985063128 +3532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.71788997 +3535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.01506574 +3534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 17.61663898 +3531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.831671009 +3537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.45742141 +3536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.508199371 +3539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 4.156232753 +3538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.70208115 +3540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.944715423 +3541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.532160408 +3542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.93811612 +3543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.07206894 +3545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.36842514 +3546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.73139786 +3547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.264614706 +3544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.33385251 +3549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.617200204 +3550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.61246632 +3548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.86988663 +3552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.809594898 +3555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.837748562 +3553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.21481516 +3551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 16.65243733 +3556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.123184609 +3554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.31979066 +3557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.67357032 +3559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.67072896 +3558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.825307311 +3561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.746774177 +3560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.909689177 +3562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.187532243 +3563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.26215754 +3564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.44042257 +3565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.834211524 +3566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.617781015 +3567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 17.29411067 +3568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.28497129 +3569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.540131663 +3570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.61471161 +3571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 2.933777666 +3573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.45441 +3572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 4.96363537 +3574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.86068325 +3576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 20.84004861 +3575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.69134225 +3577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.0269953 +3579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.47608372 +3578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.40836996 +3581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.715356099 +3580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.951899463 +3582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.84307778 +3583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.83556195 +3584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.67317289 +3586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.444559261 +3588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 17.81994174 +3589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.649208231 +3587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.186441598 +3590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.669673853 +3585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 18.36948729 +3591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 4.022912131 +3593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.83996101 +3592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.38036832 +3596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.367849975 +3594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 1.983773047 +3597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.482070698 +3598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.913765844 +3595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.067648366 +3599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.70132026 +3600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.12758163 +3602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 19.64975669 +3603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.349258732 +3601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 2.720355142 +3604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.328413954 +3606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.41911238 +3607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.771867723 +3605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.33588548 +3608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.0122231 +3609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.858170207 +3610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.613790472 +3612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.45937149 +3613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 4.276119508 +3611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.13774715 +3614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.81365558 +3615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.30280306 +3616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.184644095 +3617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 16.05185243 +3618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.148858711 +3619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.56600706 +3620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.587016944 +3621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.64965941 +3622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 4.044008127 +3623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.470628122 +3624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.266761401 +3625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.891640808 +3627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.423430601 +3626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.794237714 +3628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.50081472 +3630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.90260016 +3629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.54800864 +3631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.43347602 +3632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.40245861 +3633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.78248655 +3634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.913226352 +3635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.29507217 +3636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.1432402 +3637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.89056835 +3639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.68957758 +3638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.640544682 +3640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.28491034 +3641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.35722454 +3642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 4.701229324 +3643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.231215793 +3644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.812076459 +3645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.958685285 +3646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.086101201 +3648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.51775403 +3649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.856791226 +3650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.029649581 +3647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.77373639 +3652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.093164073 +3651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.98835271 +3653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.407318744 +3654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.160253061 +3655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.283663 +3656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 16.79058962 +3657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 16.39391069 +3658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.961871727 +3659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.017319745 +3660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.46427872 +3661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.278900417 +3662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.1173069 +3663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.47156324 +3664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.26615284 +3665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.42004439 +3667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.84964766 +3668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.33371899 +3666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.941095374 +3669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.608088316 +3670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 4.185273418 +3671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.870329046 +3672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.088981892 +3673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 3.896114851 +3674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.754709719 +3675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.07253028 +3677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.173634541 +3678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.198228164 +3679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.393533378 +3680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.49782063 +3676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.850508736 +3681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.25032816 +3682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.95165446 +3683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.525316076 +3684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.46925869 +3685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.73544993 +3687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.36735052 +3686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.76256174 +3689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.60018468 +3688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.45953555 +3690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.49530814 +3691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.096387883 +3692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.00743792 +3693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.078713701 +3694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.10467428 +3695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.674459753 +3696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.99894375 +3697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.532136097 +3700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.64169618 +3698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.306505274 +3699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.9691622 +3701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.50369548 +3703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.11592058 +3702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.212742433 +3704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.61528614 +3706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.91189242 +3707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.24806122 +3705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.34015601 +3708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.736641497 +3709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.98238342 +3710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.6446286 +3711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.258650022 +3712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.855959635 +3713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.95495846 +3714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.62620504 +3716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.65431792 +3717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.17278275 +3715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.31041401 +3718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.46258161 +3719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.39087374 +3720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.44461536 +3721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 3.869483967 +3722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.7205523 +3723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.07245851 +3724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.240136006 +3726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.10916797 +3727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.971869588 +3725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.108268115 +3728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.54868389 +3730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.18711063 +3731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.756417562 +3729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.304269845 +3732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.63327945 +3733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.21749308 +3734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.288077572 +3736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.79962335 +3735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 16.34328691 +3737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.81582005 +3739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.518650498 +3738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.185912061 +3740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.12141129 +3741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.0884004 +3742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 3.81153101 +3743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.79536924 +3744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.026462703 +3745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.963198693 +3746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.279484205 +3747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.25472203 +3749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.85838716 +3748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.67500369 +3750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.19031852 +3751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.05730422 +3752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 3.813185568 +3753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 4.963204903 +3754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.031390293 +3756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.558868755 +3755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.127281749 +3759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.39094887 +3757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.66172313 +3758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.692626449 +3762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.970618673 +3761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.08213154 +3763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.16018916 +3764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.45306929 +3766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.55918393 +3765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.49911328 +3767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.16732206 +3760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.15212185 +3768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.2377524 +3769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.818155881 +3770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.66959367 +3771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.907983455 +3772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.62712749 +3773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.67992756 +3774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.46853422 +3775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.946602739 +3776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.57486217 +3777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.334780435 +3778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.31652358 +3779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.43816802 +3780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.76264521 +3782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.35181468 +3781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.157278109 +3783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.106193346 +3784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.68694857 +3785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 2.171402 +3786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.293914272 +3787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.94863237 +3788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.912238447 +3789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.349504403 +3790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.886128355 +3791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.401124181 +3792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.833196801 +3793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.42191103 +3794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 17.01155848 +3796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.48045478 +3795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.399149808 +3797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.70209821 +3798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.65196655 +3800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.68363193 +3799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.63106553 +3801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.17007046 +3802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.150453557 +3803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 4.344146456 +3804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 3.339796972 +3805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.88143362 +3806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.571586547 +3807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.97111755 +3809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.274068082 +3810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.012669577 +3808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.60269998 +3811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 3.93127094 +3812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 3.677745389 +3813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.858004347 +3814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.86726395 +3815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.4540109 +3816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.33250676 +3817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.268285149 +3819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.82491502 +3818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.430895904 +3820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.88578815 +3821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.387662587 +3822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.075983058 +3823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 17.36443593 +3824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.663210518 +3825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.85966353 +3826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.804730025 +3828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.57571385 +3827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 16.15373737 +3830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.04515191 +3829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.615570471 +3831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.462559585 +3832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.98243932 +3833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.787436568 +3834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.909873763 +3835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.629947905 +3836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.47843979 +3837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.653161812 +3838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.476677238 +3839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.890122199 +3840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.275348738 +3841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.52326366 +3843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.08957422 +3842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 21.8410468 +3845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.902218993 +3846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.88175382 +3844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 17.63315407 +3847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.616456308 +3849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.414253008 +3848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.803372488 +3851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.39520482 +3850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 3.605249392 +3853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.23356025 +3852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.751301929 +3854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.00268808 +3855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.48843481 +3856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.73838679 +3857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.96006562 +3858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.519086776 +3859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.98984737 +3860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.925129683 +3861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.72081939 +3863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.61160928 +3864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.86938152 +3865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.35691804 +3862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.813096332 +3867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 19.05505239 +3866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 3.789905938 +3869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.97118488 +3868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 1.54917319 +3870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.44046741 +3871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.05715816 +3872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.50917081 +3873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.82177121 +3874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.22012434 +3875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.9301192 +3876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.291627177 +3877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.23018258 +3878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.17287352 +3879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.82762413 +3880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.979054967 +3884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.33635843 +3882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.493398437 +3883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.351936461 +3885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.36847242 +3881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.531397369 +3886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.46722401 +3887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.97578819 +3888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 4.407204547 +3889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 20.44531209 +3891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.42498818 +3892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.97215905 +3894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.42587858 +3890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.52695521 +3895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.581397217 +3896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 16.03544594 +3893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.41517493 +3897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.553978304 +3898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.222768375 +3899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 16.21418907 +3901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.947256954 +3902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 4.343471809 +3900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.96182031 +3903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.08513294 +3905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.741367213 +3907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.398936206 +3906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.333780049 +3904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.318763823 +3909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.56025596 +3908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.983742993 +3910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.47493593 +3912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.984467676 +3911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.85612493 +3914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.29284434 +3913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 1.666016982 +3915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.18463817 +3917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.79125561 +3919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.147791658 +3918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.08452988 +3920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.68564822 +3921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.430303239 +3922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.860880845 +3923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.11371165 +3916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.33374075 +3926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.49222555 +3925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.24959216 +3929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.212730626 +3927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.03625793 +3928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 1.549796841 +3924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.459494765 +3931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.069446665 +3932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.868438868 +3933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.980450553 +3934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.38504841 +3935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.944412396 +3930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 16.73732329 +3937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.92576842 +3938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.471820676 +3936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.89184491 +3940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.971553753 +3939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.263164104 +3941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.763831775 +3942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.167180531 +3944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.50478645 +3945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.99787282 +3943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.76686064 +3946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.080545712 +3947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.81433724 +3948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.94440514 +3949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.63787261 +3950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.293884053 +3952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.86919428 +3954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.414492531 +3956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.872177612 +3955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.889540665 +3957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.83532449 +3953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.09351591 +3958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 4.869064136 +3951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.70472464 +3960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 16.84038314 +3961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.416100726 +3959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.37458544 +3962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.53786388 +3963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.35811342 +3964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 4.671693861 +3965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.85166336 +3966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.65291765 +3967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 16.02204834 +3968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.086888848 +3969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.91086393 +3971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.524130299 +3970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.31837729 +3972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 16.55819092 +3973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 15.74475034 +3975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.339193005 +3977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.02259426 +3974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.5847025 +3978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 16.23720503 +3976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.88957797 +3979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.5237177 +3982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 14.28936364 +3983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 5.598915304 +3981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.596206813 +3984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 8.87012077 +3986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 2.536687978 +3985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 12.7871619 +3987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.35947109 +3980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 21.13495735 +3988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 4.616408041 +3989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 13.46876559 +3990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.38542635 +3993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 7.72533658 +3992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.645415251 +3991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.78613689 +3994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.94217776 +3995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.04636673 +3996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 10.06516806 +3998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 11.95743897 +4001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.6141766 +4000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 17.02652292 +4002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.37210441 +3997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 9.551128038 +3999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 6.148267539 +4004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.54524013 +4003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.57059635 +4006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.26070187 +4009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.71374112 +4007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.77600304 +4008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.49343425 +4010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.68079773 +4005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.91948018 +4011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.35241488 +4012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.228764863 +4013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.12171047 +4016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.77904985 +4018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.07453823 +4017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.1366031 +4015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 1.906561689 +4014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.117333994 +4019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.42682734 +4021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.4664209 +4022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 2.015435356 +4025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 17.75285806 +4024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.037547988 +4020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.03765092 +4026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.53991591 +4023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.47519671 +4027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.265600576 +4031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.653688746 +4030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.720580766 +4029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.122553602 +4028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.30530944 +4033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.87293369 +4034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.651558361 +4032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.757480014 +4035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.44116745 +4039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 18.01153118 +4037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.544061822 +4038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.36347544 +4040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.43903096 +4036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.08076107 +4041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.351949563 +4043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.82396127 +4047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.889040434 +4045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.79479231 +4044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.107255764 +4048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.3162737 +4046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.19701223 +4042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.50279829 +4049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.18955226 +4050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.99714316 +4051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.83506917 +4053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.585997669 +4055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.705132613 +4052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.767597366 +4054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 16.29902316 +4057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.08039428 +4058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.99000767 +4056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 16.10968211 +4059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.088653968 +4060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.885862121 +4061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.17731234 +4062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.669571465 +4063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 19.8189717 +4065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 22.07705793 +4064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.01309767 +4066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.24216319 +4067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.64552676 +4068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.27564428 +4071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.21052467 +4072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.533638465 +4069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 16.96645697 +4073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.41474609 +4075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.906043308 +4074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.469422203 +4070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.13035434 +4076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.77863961 +4078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.57212175 +4077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.917982585 +4079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.66565067 +4080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 16.05961741 +4081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.59495589 +4084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.73761373 +4083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.45927089 +4082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.41685505 +4085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.340306944 +4086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.760954194 +4088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.22954447 +4087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.61881512 +4089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.21528896 +4090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.50508064 +4091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.92902219 +4092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.845733055 +4093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.733285909 +4095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.48393835 +4094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.39447557 +4097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.58354425 +4098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.22156375 +4096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.014313739 +4099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.664196816 +4100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.831299289 +4103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.68299616 +4105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.5372755 +4104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.353727206 +4101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.41183502 +4107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.16764529 +4106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.75741603 +4102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.07923582 +4108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.041796464 +4109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.859277258 +4111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.33150278 +4112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.41758589 +4113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.56348131 +4110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.86653481 +4115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.868928134 +4114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.002763277 +4116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.082145433 +4118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.164028 +4117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 16.32227221 +4119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.805193204 +4120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.5194686 +4121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.82230884 +4123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.490312752 +4125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.234630086 +4126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.982415709 +4122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.63169188 +4124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.65658506 +4127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.812944012 +4128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.888950484 +4129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.56738939 +4130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.860419776 +4131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.412307785 +4135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.75849275 +4133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.63287105 +4134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.08491828 +4136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.103700654 +4132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.002097526 +4137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 16.44661914 +4138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.67377352 +4139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.17574225 +4141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.22692494 +4142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.48953993 +4140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.76886642 +4143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.358175692 +4144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 16.44278467 +4145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.900772611 +4146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.47251528 +4147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.99300902 +4148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.03283396 +4149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.74163786 +4150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.816713409 +4151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.65190545 +4152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.16045545 +4153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.61916495 +4156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.253569121 +4155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.997094695 +4154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.49152882 +4157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.65738773 +4158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.041880399 +4159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.12998147 +4160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.777115786 +4161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.087943828 +4163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.99420243 +4165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.237752653 +4164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.64032492 +4166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 17.78646092 +4167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 1.93410617 +4168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.50408701 +4162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.506838276 +4170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 3.228651059 +4169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.157534096 +4172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.242860794 +4173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.33922392 +4171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.30680031 +4174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.892437973 +4176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.21246508 +4177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.42725171 +4175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.36793956 +4178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.54837708 +4179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.33836442 +4180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.32038171 +4181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.156588924 +4182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.357346203 +4184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 17.52620867 +4183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.901312538 +4188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.1237012 +4187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.947837068 +4186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.54702143 +4189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 1.46094106 +4190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.841626804 +4185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.67509278 +4194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.5128995 +4191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.558991982 +4193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.02255784 +4195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.48759077 +4192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.226445716 +4196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.35940128 +4197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.38714732 +4198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.674659587 +4199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.84214534 +4200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 2.550498997 +4202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.796894805 +4204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.562382087 +4203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.624678005 +4201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.78744293 +4205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.89284458 +4206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 17.11472752 +4208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.40420923 +4209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.03650989 +4210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.04841993 +4207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.58398777 +4211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.44169035 +4212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.972349285 +4213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.83077205 +4215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.03544291 +4214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.90376624 +4216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.039022421 +4220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.37509476 +4218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 17.56006784 +4217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 21.27786324 +4219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.3429517 +4221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.653221974 +4222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.82481984 +4224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.97917405 +4223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.28864712 +4226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.953645888 +4225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 17.0016762 +4228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.325698943 +4227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.296772068 +4230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.006022519 +4231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.548694753 +4229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.81150876 +4233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 16.33136793 +4232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.12455993 +4234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.774881147 +4235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.864740775 +4236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.43809092 +4237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.0771125 +4238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.94307377 +4239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.781099354 +4240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.61292136 +4243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.539718732 +4241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.4963197 +4244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.19726232 +4242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.00282624 +4245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 3.210331536 +4246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.140458609 +4247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.248545372 +4248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.492541391 +4249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.0330094 +4250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.801280151 +4251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.65943159 +4253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.2032874 +4254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.15716596 +4255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.51427921 +4256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.87833455 +4258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.5580738 +4252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.807613312 +4257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.332892741 +4259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.086544139 +4260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.30736173 +4261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.5338815 +4262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.790581878 +4263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.62439338 +4264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.025341544 +4265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.81977847 +4267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.481813404 +4266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.40636323 +4268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 16.13010946 +4269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 3.719330162 +4270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.04487754 +4271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.57591291 +4272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.041764328 +4273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.275006845 +4274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.56053428 +4275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.410227528 +4276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.086132721 +4278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.37910432 +4277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.88145497 +4279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.32463237 +4281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.33690688 +4282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 17.30960005 +4280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 2.584271499 +4284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.80399716 +4285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.11606411 +4283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.635109866 +4287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.95821633 +4286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.627397006 +4288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 3.896412431 +4290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.994824231 +4291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.50380813 +4292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.02051312 +4289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.23478647 +4293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.70708709 +4294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.171523481 +4295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 16.05514978 +4296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.67223917 +4298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.01595179 +4297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.305791751 +4300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.18992099 +4299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.399856771 +4303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.647949109 +4302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.8753641 +4301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.034148146 +4305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 3.37185004 +4304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 18.15322744 +4306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 19.1964038 +4308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.91461712 +4309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 1.567443774 +4310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.17355943 +4307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.82234374 +4311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.933022193 +4312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.425928331 +4313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.566865885 +4315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.5765774 +4314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.64866803 +4317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.51681321 +4316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.511051713 +4318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.107884037 +4319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.99809169 +4321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.84125528 +4322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.071823758 +4323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.089533602 +4324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.96595018 +4326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.506497023 +4320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.02119718 +4327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.35496688 +4325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.163364915 +4328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.38522092 +4329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.297227729 +4330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.551100627 +4331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 17.51754131 +4332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.927831289 +4335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 3.635039933 +4334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.682895774 +4333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.7723486 +4336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.99529735 +4339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.61434075 +4340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.28163246 +4337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.21359761 +4338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.976244946 +4341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.15304136 +4343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.158795314 +4342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.473183325 +4344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.06813151 +4345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.169501374 +4347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.6311077 +4348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.04056861 +4349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.816261852 +4350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.158501005 +4346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.54100624 +4351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.535204395 +4352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.40468957 +4353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.48488029 +4355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.71435991 +4356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.734762946 +4358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.523980514 +4354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.027012854 +4357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.74583389 +4360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 18.33530085 +4359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 2.949337219 +4361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 18.61481091 +4364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.074523123 +4362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.324270983 +4363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 18.0498331 +4365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.922915515 +4366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.752288395 +4367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.97155271 +4369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.273915697 +4368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.616885055 +4371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.98694019 +4372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 2.98196017 +4375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.47457492 +4374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 17.38406836 +4370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.26910358 +4373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.368470043 +4376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 16.56240729 +4377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.334398938 +4378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.80512337 +4380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.927331716 +4382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 3.187197068 +4383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.04153972 +4381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.45155933 +4379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.465049 +4384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.429802187 +4389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.77869327 +4386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.514375812 +4387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.189930064 +4390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.4576757 +4391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.01371886 +4388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.73225688 +4385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.27494198 +4392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 18.53296438 +4395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.533677771 +4397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.60192124 +4394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.453299431 +4396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.17121918 +4393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.75060289 +4398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.0594728 +4399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.76799961 +4400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.034366322 +4401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.886481237 +4403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.868910427 +4404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.111640457 +4402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.09561865 +4406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.97300736 +4405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.011554842 +4408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.08876843 +4409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.557914482 +4407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.769119532 +4412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 3.499125435 +4413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.995582277 +4411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.9796538 +4414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.52472263 +4415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.36771331 +4410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 2.894181051 +4416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.995548439 +4417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.085028666 +4421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.001662174 +4420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.21358153 +4419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.277082055 +4418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.469046823 +4422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.792012795 +4423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.116761075 +4424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.579677244 +4426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.28254585 +4427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.571618253 +4429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.910754367 +4428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 16.32509787 +4430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.214027631 +4425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.76644539 +4432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.388230705 +4431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.33004812 +4433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.862159372 +4434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.590879813 +4437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 3.279124811 +4436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.870354212 +4435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.628052906 +4438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.34739367 +4440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.01533748 +4439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.02519719 +4441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.246663393 +4445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.95278168 +4442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.86067343 +4443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.49513621 +4444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.13890581 +4447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.38617976 +4448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.39079038 +4450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.769016204 +4451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 3.036495054 +4449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.17197286 +4446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.84146769 +4452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.40909978 +4453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.486806959 +4455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.821683954 +4458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.716380239 +4454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 19.19835304 +4457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.801476071 +4459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.60020696 +4460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.832113508 +4461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.673665624 +4456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 17.81605953 +4462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.787386073 +4464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.205042428 +4467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.913147695 +4468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.850962809 +4465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.64417512 +4463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 3.515870533 +4469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.76549515 +4470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 3.915447703 +4471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.58048155 +4466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.081578481 +4472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.6270513 +4473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.17965595 +4475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.523580924 +4476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.92228415 +4474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.066088911 +4477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.61091147 +4478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.2376803 +4479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.95223012 +4480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.098279581 +4482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.048820327 +4483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.76336722 +4481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.547783001 +4484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.40819237 +4485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.62525076 +4486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 16.77422138 +4488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.643137734 +4487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 2.408564395 +4490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.357001058 +4491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.76554986 +4489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.9959008 +4492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.05774719 +4493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.37023447 +4494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.454618959 +4495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.50958612 +4498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.591595226 +4496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 3.926413309 +4499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.61604905 +4497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.691665967 +4500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.270886006 +4501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.70822153 +4503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.529220916 +4502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.47659495 +4505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.40139108 +4507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.45249681 +4506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.02491776 +4508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.77103157 +4504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.44388652 +4509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.04576531 +4510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.051559964 +4511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.304111923 +4514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.07584589 +4513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 17.04759448 +4516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.089421986 +4512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.68591547 +4517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.292375501 +4515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 3.328565885 +4518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.23767087 +4519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.19800746 +4521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.53523038 +4520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.04518255 +4523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.795269006 +4524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.07322254 +4525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 20.07063492 +4526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.85440113 +4522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.285378207 +4527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.535072166 +4529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.19953321 +4528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 20.28048276 +4531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 16.13234103 +4534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.38382933 +4533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.825936723 +4532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.839967225 +4530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.01068271 +4535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.695908638 +4536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.507823754 +4538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.34886116 +4539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.44044914 +4540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.380514633 +4541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.614879417 +4542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 3.834005172 +4537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.823391682 +4543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.92147071 +4544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 2.101552229 +4545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.434874992 +4547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.76856634 +4546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.834499289 +4548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.5711176 +4550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.69359539 +4549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.509716832 +4551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 1.501793622 +4552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.404240267 +4553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.377008756 +4555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.8168458 +4554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.23340808 +4556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.422286701 +4557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.691232465 +4558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.52517359 +4559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.95337919 +4560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.543216934 +4561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 16.06136762 +4563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 16.4943795 +4564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.988074224 +4565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.873952593 +4562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.84147793 +4566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.116742944 +4567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.558665153 +4568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.464492121 +4569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.17552621 +4570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.528068155 +4572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.46566913 +4573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.23839427 +4571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.0121315 +4577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.379822227 +4576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.025986317 +4574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 16.13803633 +4578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.40464721 +4575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.362690181 +4579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 18.38322529 +4580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.707758358 +4581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.786207061 +4583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.85737484 +4582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.409586249 +4585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.15006101 +4584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.023389449 +4586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.142848 +4587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.10843695 +4588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.29716057 +4589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.20095063 +4590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.57916127 +4591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.189058064 +4592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.447146429 +4594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.54643242 +4595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.48556588 +4596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.803934682 +4593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.9317192 +4597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.47828423 +4598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 16.52685049 +4600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.37260392 +4599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.34272108 +4601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 3.779336043 +4602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.931076908 +4603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.45331948 +4605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.374219991 +4604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 21.40963886 +4606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.42524205 +4608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.452178612 +4607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.75354396 +4609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.681009392 +4610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.435480349 +4611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.59872081 +4614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.06633855 +4612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.018506387 +4613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.552547731 +4616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.35986664 +4615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.871742443 +4617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.139444 +4618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.23975702 +4620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.39825279 +4621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.12572781 +4623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.86578779 +4619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.566585147 +4622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.014295467 +4624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.708323862 +4625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.01833489 +4626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 3.268226482 +4627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.23577499 +4630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.03261563 +4629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 1.874907806 +4631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.159425644 +4628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.14808279 +4633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.12996927 +4632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.36104296 +4634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 16.19018106 +4635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.28066808 +4636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.540806275 +4637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.080495645 +4640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.03518694 +4641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.56237614 +4639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.413349173 +4638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.318283003 +4642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.51418705 +4643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.72937596 +4644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.148010062 +4646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.191642931 +4647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 19.02551242 +4645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.146395188 +4648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.268099338 +4649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.714835037 +4650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.855972836 +4651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.29577213 +4652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.86689918 +4655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.007012423 +4653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.394648076 +4654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.97224855 +4659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.961376316 +4657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.163804 +4656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.07874089 +4658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.794422014 +4662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.49076262 +4660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.07661264 +4661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.010576446 +4663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.50208739 +4666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.96451944 +4664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.58721407 +4665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.73411387 +4667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.64103462 +4668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 3.814725674 +4670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.952109939 +4669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.006404289 +4673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.642061897 +4672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.46115632 +4671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.89695093 +4674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.539417134 +4675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.26616274 +4676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.27164584 +4678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.44712282 +4680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 16.19452722 +4677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.787508346 +4679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.952053564 +4681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.969170802 +4682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.83925181 +4683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.91103087 +4684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.218752821 +4685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.40539053 +4687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.12296392 +4686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.38878019 +4688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.26248364 +4689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.178382 +4690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 16.91767884 +4691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.617502402 +4693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.867491 +4692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 17.80533493 +4694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.486358275 +4695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.39730796 +4696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.20786175 +4697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.29236746 +4700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.918184912 +4698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.3611217 +4701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.431170288 +4702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 16.58398372 +4699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.886881441 +4704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.7162248 +4705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 16.49826072 +4703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.980237094 +4706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.22322719 +4708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.06347919 +4707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 1.995123273 +4709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.380189317 +4710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.89069902 +4711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.956746772 +4712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.61010421 +4713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.301640355 +4714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.588989273 +4715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.022796067 +4717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.498452533 +4716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 16.26104765 +4718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.9686092 +4719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.47800498 +4720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.44323873 +4721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.557096367 +4722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.067034909 +4724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.00040221 +4723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.786631857 +4726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.681253003 +4725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.66064104 +4727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.51803181 +4729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.800909437 +4730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.066136387 +4728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.78450911 +4732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.43536093 +4731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.42940693 +4733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.66961262 +4735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.39636533 +4736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.28443094 +4734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.78688048 +4737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.135552212 +4738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 18.15642327 +4739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 16.50244392 +4740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.717274453 +4742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.07972489 +4741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 3.835130872 +4743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.29257841 +4745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.67523684 +4746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.959988463 +4748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.97659448 +4747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 2.213317673 +4744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.05308433 +4749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.76233254 +4750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.08691694 +4751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.326721218 +4752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.981599092 +4753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.45702166 +4754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.72399803 +4755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.27230773 +4757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.33812542 +4758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.801859937 +4759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.122611966 +4756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.556386116 +4760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 3.950920411 +4761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.31988071 +4762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.666490812 +4763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.730792854 +4764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.02742095 +4766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.850783663 +4765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.17447411 +4768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.0414687 +4767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.25312765 +4769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.47587992 +4770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.464068163 +4771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.677651889 +4772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.232525608 +4773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.723430013 +4774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.80222537 +4775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.20941957 +4777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.598154496 +4776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.02824047 +4778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.057048923 +4779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.77943311 +4780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.757169545 +4781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.66574933 +4782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.133094055 +4783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.27752702 +4784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.144029696 +4785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.70247335 +4787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.879419078 +4789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.799372959 +4786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.25329457 +4788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.361309648 +4790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.60895165 +4791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.53794666 +4793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.852224472 +4795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 3.886115651 +4796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.83687647 +4797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.592455493 +4794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.74166129 +4798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.411052423 +4792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.16731474 +4799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.27900638 +4800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.396958432 +4801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.563777017 +4802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.412832987 +4804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.88024681 +4805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.43215921 +4803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.054220074 +4807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.38993516 +4806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.58439605 +4808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 16.03676499 +4809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.405915588 +4811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.197260036 +4810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.008440152 +4812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.35307988 +4813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.801814691 +4814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.99387522 +4815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.50431656 +4816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.09131296 +4817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.84821541 +4819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 2.133807001 +4818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.46369937 +4820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.039718444 +4821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.973509713 +4822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.810662677 +4823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.91638646 +4824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.36556453 +4826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.803289067 +4828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.425397359 +4825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.1109663 +4827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.209496786 +4829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.765825453 +4830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.38050714 +4831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.280963445 +4832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 17.26144134 +4833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.002740965 +4834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.64444159 +4835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.929606088 +4837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.51104196 +4836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.770476426 +4838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.041537074 +4839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.69673005 +4840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.67046458 +4841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.70455415 +4842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.04469447 +4843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.4019084 +4844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.83735656 +4846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.782008788 +4847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.25687925 +4845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.00811205 +4849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.57165545 +4848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 16.26421693 +4852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.95415112 +4850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.95529436 +4851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 2.850773884 +4853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 17.36227876 +4854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.455145918 +4857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.563592358 +4856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.60502168 +4858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.320577334 +4855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.11959484 +4859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 2.802984918 +4860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.774057644 +4861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.98888313 +4862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.994969433 +4864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.75982101 +4865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.259982954 +4866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 16.91575652 +4867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.591953289 +4863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.56698245 +4869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 16.03472842 +4868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.55838496 +4870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.70968752 +4872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 2.715188135 +4873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.700897602 +4871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.63277851 +4875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.718554979 +4876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.09586309 +4874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.537589736 +4878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.925749904 +4877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.82849684 +4879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.11402436 +4880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.65348837 +4881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.990288692 +4882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.27314801 +4883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.826234472 +4884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.40943931 +4885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.2012958 +4886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.465598433 +4887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.194813308 +4889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.943526139 +4888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.509599972 +4891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.603758053 +4890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.792394098 +4892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.99046799 +4894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.81273966 +4895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.45786775 +4893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.08308891 +4896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.88731897 +4899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.14180442 +4898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.960225177 +4897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.65973152 +4901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.95341492 +4900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.29618092 +4902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.461642127 +4903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.000413111 +4904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.91831359 +4905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.22273515 +4906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.55572227 +4907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 2.394591732 +4908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 3.958060665 +4910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.46722831 +4911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.935391355 +4912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.05942129 +4909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.57340967 +4913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.25405398 +4914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.19086954 +4915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 16.39961552 +4916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.864097171 +4917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.68155906 +4918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 16.96032293 +4919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 16.76369154 +4922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.055159384 +4920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.79079486 +4923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.436357657 +4921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.863887339 +4924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.25057489 +4926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.1387489 +4927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.582507738 +4925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.735097188 +4928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.795072811 +4931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.975088583 +4929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.87450879 +4930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.52830466 +4932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.77606336 +4935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.07112775 +4934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 20.43977407 +4933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.85465757 +4936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.956451443 +4937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.16836515 +4939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.55743471 +4940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.58210691 +4938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.58495674 +4942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.88951603 +4943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.307491573 +4941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.778759235 +4944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.220663562 +4945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.40564986 +4946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.281559747 +4947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.737141075 +4949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.79463072 +4948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.568170853 +4950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.380440396 +4951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.683380666 +4952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 3.835751875 +4953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.556033442 +4954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.388828014 +4955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.30419905 +4956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 3.121971174 +4958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.38219612 +4959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.20645034 +4960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.56687569 +4957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.07659496 +4961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.868547289 +4962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.52208588 +4963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.17020725 +4964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 4.630179605 +4965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.574318624 +4967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.803270111 +4966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.74081819 +4968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 3.601192821 +4969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.16111058 +4970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.24312766 +4971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 14.67667684 +4972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.033609863 +4973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.610209794 +4974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.03978454 +4975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.37275216 +4976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.99359857 +4977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.27628111 +4978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.81257637 +4979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 10.63182289 +4980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 17.36635446 +4981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.05192205 +4982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.786270255 +4983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.553440709 +4985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.825570888 +4986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 16.13474712 +4987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 15.83690524 +4988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.368824895 +4984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.12230337 +4989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 16.45518754 +4990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.227911131 +4991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.66264322 +4992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 12.14582584 +4993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 11.7705811 +4995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 9.911447676 +4996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.675536365 +4994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 13.71194209 +4997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 7.734073087 +4999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.365184745 +4998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 5.154934743 +5000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 6.807314605 +5001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.386732724 +5002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.25359599 +5004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.51252733 +5005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.01798495 +5007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 17.46328964 +5003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.98643983 +5006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.91893788 +5008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.09321102 +5009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.397972207 +5010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.31649709 +5011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 16.20677187 +5012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.415856138 +5013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.804473255 +5014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.3498987 +5015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.004966342 +5016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.57345271 +5017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.334967076 +5019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.313389187 +5018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.815078885 +5020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.736277952 +5021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 15.99098967 +5023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.9614334 +5022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.481609845 +5024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.91701737 +5025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.23334371 +5026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.688357313 +5027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.267083606 +5028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.11564235 +5029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.715139584 +5030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.70186205 +5032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.3952742 +5031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.40082695 +5033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.01684581 +5035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.69057364 +5036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.47718575 +5034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.167787155 +5037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 15.3452383 +5038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 4.007343642 +5039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.43355213 +5041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 4.839627487 +5042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.24445355 +5040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.949638453 +5044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.06789055 +5043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.67722929 +5045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.32511569 +5046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.66605844 +5047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.334171276 +5048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 2.63280538 +5049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 15.22483496 +5051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.483764942 +5052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.87720966 +5050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.67705855 +5053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.938088259 +5054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.72423926 +5055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.469192476 +5056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.865099022 +5058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.671074447 +5057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.08944256 +5059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.376298431 +5061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 4.294257692 +5060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 15.5444759 +5063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.04135371 +5062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.87124382 +5064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.716950178 +5066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 19.3985507 +5065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.553877818 +5067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.97327189 +5068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.06240082 +5069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.777840452 +5070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.14133719 +5071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.89962111 +5072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.55049429 +5074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 15.7078049 +5073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.68241467 +5075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.4759285 +5076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 4.325226262 +5078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.43454748 +5077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.11495111 +5079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 1.578100742 +5080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.302701523 +5081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 15.26241462 +5083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.19210886 +5082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 16.68538787 +5084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 16.12012889 +5085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.2745511 +5087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.116353843 +5086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.358233895 +5089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.61543392 +5088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 1.610880891 +5090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.76175258 +5091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.744647073 +5092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.620342654 +5093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.4365522 +5097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 17.6017491 +5096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.61285871 +5095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.0604653 +5098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.422328211 +5099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.80925394 +5100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.95471735 +5101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.04142398 +5103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.67103945 +5094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.44328889 +5104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.150324672 +5102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.21654575 +5107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.49570408 +5106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.046072653 +5105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.02743632 +5108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.247993897 +5110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 3.515409359 +5109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.43859433 +5112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.6087842 +5113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.498770277 +5114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.23759428 +5116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.115417372 +5115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.35803606 +5117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.0933261 +5118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.96257795 +5119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.500982032 +5120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 15.78315199 +5121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.97828186 +5122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 24.8738986 +5123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.00173865 +5124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 16.85328085 +5125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.825959758 +5126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 4.168843173 +5111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.91968487 +5127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.172881275 +5128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.286944629 +5129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.41511376 +5131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.16169272 +5132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.93132745 +5133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 3.2603507 +5134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.38323152 +5130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.923706901 +5135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.457920572 +5136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.105978701 +5137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.853845392 +5139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.616761089 +5138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.603700919 +5140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.152475793 +5141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 15.72769975 +5143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.99124157 +5142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.950712446 +5144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.449449398 +5146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.89083985 +5147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.862219146 +5145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.911468457 +5148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.1260265 +5150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.020530522 +5149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.1924757 +5151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.80737111 +5152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 3.44642203 +5154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.87724683 +5155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.088839387 +5153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.370363264 +5156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.279503103 +5157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.31377829 +5159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.929927933 +5160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.70635463 +5158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.51577956 +5162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.572856026 +5161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.56429636 +5163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.605200541 +5164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.51517204 +5165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.663175663 +5166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.05876965 +5167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.052921096 +5168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.278362557 +5170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.443340777 +5171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.29514917 +5169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 16.50719284 +5172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.58705768 +5173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.480424434 +5174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.63250484 +5175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.07441896 +5176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.66402865 +5179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.16969896 +5178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.77931017 +5177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.301304731 +5180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.67714194 +5181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.589284452 +5182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.095135682 +5183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.70591206 +5185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.19667282 +5186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.51993455 +5187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.11052654 +5188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.123142666 +5189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.567201175 +5190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.991799924 +5184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 17.97614866 +5191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.406580339 +5192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 16.80352823 +5194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.632965197 +5193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.485396 +5195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.3747525 +5197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.18888806 +5196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.857471298 +5198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.56223925 +5199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.27891026 +5200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.754889323 +5201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.874597548 +5202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.87304639 +5203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 15.78216338 +5205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.245946066 +5204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.53552022 +5206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -2.555276904 +5207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 17.29291277 +5208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.3625032 +5209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.91883684 +5210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.375218994 +5211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.302172052 +5213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.09119418 +5212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 19.37561704 +5214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.39856733 +5215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.66564189 +5217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.38090564 +5216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.7114984 +5218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.669537509 +5221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.603924855 +5220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.137862677 +5219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.6333078 +5224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.46231213 +5226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.69985271 +5223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.71764012 +5225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.338550478 +5227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.02403347 +5228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.221626742 +5222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.610537687 +5229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.59667156 +5230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.737095808 +5231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.11950084 +5232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.358286531 +5235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.316910754 +5233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.72522391 +5237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 16.49955317 +5234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.15416457 +5236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.02217542 +5238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.58793212 +5240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.778024331 +5239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.780012248 +5244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.616879592 +5242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 16.15168415 +5241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.07501554 +5243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.429656455 +5245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.13251566 +5246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.58990208 +5247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.830873931 +5248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.2346384 +5250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.660681901 +5251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.754365733 +5252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.23601004 +5253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.66276251 +5249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 3.789045674 +5254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.058117715 +5255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.12059337 +5256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.183007083 +5257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.731515299 +5258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 15.64909581 +5259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.413954916 +5260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.544864194 +5261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.59022628 +5264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.587962406 +5262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.72659875 +5265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.973370349 +5266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.500706162 +5263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.35801042 +5267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.97874046 +5268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.41542732 +5270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.10141862 +5271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.96166385 +5272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.59696397 +5273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.03901408 +5269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.122367836 +5274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.102031795 +5275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.54014643 +5276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.00262421 +5277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.985397372 +5279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.8851175 +5278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.72594746 +5282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.206402877 +5280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.814389563 +5281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.034172753 +5283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.83683697 +5286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.276980796 +5285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.60571891 +5287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 4.677820926 +5289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.49267182 +5284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.60575206 +5290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.957275928 +5288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.59571725 +5291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.510586651 +5292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.10951782 +5294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.50457353 +5293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.734361085 +5295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.000108986 +5296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 4.018463789 +5297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.76921413 +5298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.44749639 +5299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.23734368 +5300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.01405413 +5302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.72526165 +5301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.91808717 +5303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.00445121 +5305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.58640861 +5304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.055730506 +5306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.37295995 +5307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.905404336 +5310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.14801276 +5308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.942325632 +5309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.373989757 +5311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.63074621 +5312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.838430822 +5314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.680596959 +5315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.176267187 +5316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.70210086 +5318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.25644525 +5319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.652822674 +5317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.908065411 +5313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.73550852 +5320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.6252608 +5321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.77033061 +5323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 17.72154306 +5324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 15.0715092 +5325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.86964655 +5326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.57375958 +5322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.280160052 +5328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.85688428 +5327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.40188269 +5329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.920620147 +5330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.4671278 +5331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.13834881 +5332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.444012214 +5334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.82624086 +5333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.21841239 +5335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.58074426 +5336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.048489014 +5337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.23532024 +5339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.881424622 +5340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.583529624 +5338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.70557041 +5342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.68128542 +5341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.363068136 +5343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.484310713 +5348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.80165209 +5344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 2.525224565 +5347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.047277067 +5349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.449811785 +5346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 16.39834643 +5350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.87246111 +5345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.38693853 +5351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 16.57136578 +5354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.067668321 +5356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.94310389 +5352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 3.647315603 +5357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.154049625 +5355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.406684124 +5358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.7563534 +5353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.402345 +5359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.667573522 +5360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.433039039 +5361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.03148155 +5362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.52821516 +5363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.4913496 +5364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.54196077 +5366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.199854326 +5367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.358258332 +5369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.53727508 +5370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 15.39178792 +5365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.254869106 +5368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 2.482370049 +5371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.36722979 +5374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 16.13406556 +5373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.052827482 +5372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.25224603 +5376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.25976761 +5375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.244319998 +5377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.21691195 +5378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.483858925 +5379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.64052198 +5380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.61215139 +5382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.383492822 +5381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 15.2796612 +5383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.305311282 +5384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.888695471 +5385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.0956994 +5386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.25222168 +5387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.227666781 +5388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.09341119 +5389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.825780945 +5390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.72640523 +5392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.971820241 +5393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.03001971 +5394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.98702681 +5391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 16.81538238 +5395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.05489362 +5396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.78511295 +5398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.11463826 +5400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.17816758 +5397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.94763413 +5401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.116384123 +5399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 4.840663166 +5402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.35094026 +5403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.44017601 +5404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.669371364 +5405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.44256046 +5408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.875502865 +5406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.82332016 +5409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.482732194 +5407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.423459199 +5410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.50743735 +5411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 19.77749698 +5412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.32856259 +5416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.59236891 +5414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.939403974 +5415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 16.73517943 +5418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.822927718 +5417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.09907192 +5413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.150438349 +5419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.16325446 +5420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 15.29340613 +5422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.94782451 +5421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.690938746 +5423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.77200513 +5425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.33865473 +5427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.324736453 +5426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.65499628 +5424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.530830832 +5428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.07246003 +5429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.5925322 +5430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.29872089 +5432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.660887045 +5433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.662697177 +5431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.628527322 +5434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.811580875 +5435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 15.6657327 +5436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.16882545 +5439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.25318787 +5438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.840669692 +5437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.25509487 +5441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.64582077 +5440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.55063007 +5442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.31519002 +5443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 15.0338363 +5444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.20977962 +5445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.83190556 +5446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.8082471 +5447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.61664119 +5448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.34045377 +5449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 3.908116453 +5450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 15.85092307 +5451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.72168738 +5454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.80335551 +5456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.310362193 +5452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.34594513 +5455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.35738526 +5457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.20343838 +5453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.307674612 +5459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.372167387 +5458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.2579387 +5462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.550168391 +5460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.72265727 +5461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.54617653 +5463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.19117901 +5465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.267506423 +5464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.28351252 +5466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.18015913 +5467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.240224159 +5469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 3.206471036 +5470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.0391118 +5472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 4.848620909 +5468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 4.498904648 +5474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 15.83474024 +5471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.550767915 +5473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.78558511 +5475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.46098232 +5476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.16552148 +5477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.71435672 +5478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 18.29550045 +5479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.49494309 +5480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.1538006 +5481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.76756881 +5482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.74528739 +5483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.09770101 +5484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.994090287 +5485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.608449856 +5486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.0355463 +5487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.169220729 +5489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.50045136 +5490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.08627211 +5488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.70905777 +5492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.767853539 +5491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.724045104 +5493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.212059848 +5494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.184434056 +5495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.16684486 +5496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.481913621 +5497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.49900796 +5498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.289587131 +5499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.16135842 +5501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.58253453 +5502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.01704823 +5503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.31842202 +5500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.280744791 +5504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.54302653 +5505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.53134953 +5506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.948227525 +5507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 16.61360021 +5508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.8216387 +5509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.9122334 +5511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.446411609 +5512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.94390616 +5510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.86052826 +5513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.42455425 +5514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.97415815 +5516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.67299819 +5515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.464853377 +5517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.20677583 +5518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.079844548 +5519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.489428414 +5520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.54366743 +5521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.669361219 +5522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.48321724 +5523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.726954682 +5524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.7651049 +5525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.38292875 +5526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.610420584 +5527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 17.09533318 +5529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.630868103 +5528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.706031572 +5531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.09330354 +5530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.37300177 +5532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.195740483 +5533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.795420127 +5535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.808473493 +5537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.71522339 +5536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.56234957 +5538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.60771241 +5534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 16.18824802 +5539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.331215359 +5540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.0357974 +5541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.82191338 +5543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.566560332 +5542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.184372498 +5544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.990138186 +5545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.32296612 +5546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.09624268 +5548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.45535334 +5547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.93894464 +5549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.191237328 +5550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 3.759206199 +5552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.07577616 +5551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.4030085 +5553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.01994599 +5555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 4.145359066 +5556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.6733412 +5557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.074313331 +5554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.378610509 +5558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.043693291 +5559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.26101648 +5561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 1.020675589 +5560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.46014352 +5562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.88922052 +5563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.79379523 +5564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 17.80617319 +5565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 16.46560142 +5566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.30577435 +5568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 4.803263126 +5569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 3.761491051 +5567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.264877 +5570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.64959667 +5571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.16228442 +5572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.405200357 +5573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 16.37166911 +5574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.861627462 +5575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.05205238 +5577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 2.988187361 +5578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.116869936 +5576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.046461313 +5580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.02613715 +5579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.19795038 +5581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.95446353 +5582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.955565203 +5583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.45544455 +5585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.02564821 +5586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.2979126 +5584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 17.26565804 +5588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.654306752 +5587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.190699137 +5589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.63664904 +5590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.18096444 +5591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.060357995 +5592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 15.45209401 +5595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.254217825 +5596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.70932303 +5593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.056714619 +5594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.521167822 +5598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.507009391 +5599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.1315835 +5600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.17143965 +5601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.78269687 +5602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.72519592 +5597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.53477328 +5603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 16.39447687 +5605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.861953988 +5604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.79063043 +5606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 2.389533076 +5607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.747124198 +5608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.27931184 +5610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.338426337 +5611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.850515466 +5612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.062344729 +5613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 22.17572104 +5615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 16.54840116 +5609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.075990954 +5614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.54687406 +5616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 16.10033886 +5618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.515879277 +5619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.20237245 +5620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.424860722 +5622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.270134002 +5621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.246408334 +5623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.91291544 +5624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.486895876 +5617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.20571415 +5625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.229779679 +5627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.5912432 +5626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.77556397 +5629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.653436827 +5631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.25650359 +5628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.818617522 +5630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.725909342 +5633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.6961625 +5632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 16.11590749 +5635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.10269696 +5636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.651236788 +5637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 15.90905794 +5639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.8183088 +5638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.906323223 +5640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.849459585 +5634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.234699698 +5641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 4.949070876 +5646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.974343013 +5643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 16.46459913 +5645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 17.3367642 +5644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.57576181 +5642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.13914533 +5647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.612983694 +5648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.29314397 +5651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.65086172 +5650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 16.02392133 +5649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.727037346 +5654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.00264076 +5652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.7672308 +5653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.12492101 +5655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.12336645 +5656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.035687384 +5658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.722914258 +5657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.2067739 +5660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.4872692 +5662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.03141905 +5661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.995293737 +5659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.164239402 +5663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.534103222 +5664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.06100499 +5666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.207090573 +5668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.212879005 +5665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.102911357 +5670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.14271506 +5669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.587729183 +5667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.767963592 +5672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.893725064 +5671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.91371024 +5673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.336588818 +5674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.316487731 +5675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 3.940973706 +5677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.940151189 +5678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.247486094 +5680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.33692555 +5679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.534636052 +5676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.698337404 +5681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.731151806 +5682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.473624134 +5683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 17.81605793 +5684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.76703903 +5685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.90894747 +5686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 3.719762939 +5687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.514770807 +5689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.853356087 +5688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.42738885 +5690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.467715698 +5691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.007779314 +5692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.74908784 +5693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.48014255 +5694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.168759825 +5695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.154943095 +5696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.69197798 +5698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 4.167291891 +5699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.825846339 +5700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.22343375 +5697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.397584728 +5701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.433871965 +5702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 2.889956535 +5703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 17.4083227 +5705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.36108108 +5704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.74452397 +5707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.798605176 +5708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.55072881 +5709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.20299272 +5706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.37508038 +5710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.47560095 +5711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.583823814 +5712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.05490135 +5713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.41257012 +5715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 4.445303317 +5716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 16.50723024 +5717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.847033876 +5714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.750179216 +5718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.14089095 +5720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.921972106 +5721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.75135905 +5722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.66338917 +5724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.12120706 +5723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.216417576 +5719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.010861939 +5726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 4.071376207 +5725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.9662383 +5727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 3.5188608 +5729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.06266693 +5730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.48245756 +5732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.04913039 +5731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.946753468 +5728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 17.59931499 +5734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.12066393 +5733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.895723994 +5736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.280672085 +5735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.06083043 +5737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.49340639 +5739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.46497584 +5738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.785091903 +5740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.93675262 +5744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.35734806 +5742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.103751012 +5743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.263914553 +5747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.653590224 +5745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.893745291 +5748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.674409626 +5746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.092007555 +5741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.325301391 +5751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.815678737 +5749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.40409277 +5752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.04798084 +5753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.04622327 +5750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.834371144 +5754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 15.22874574 +5755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.4076506 +5756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 4.536795474 +5757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.57952646 +5758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.7693016 +5759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 17.83106153 +5760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.40172905 +5762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.707883854 +5761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.819703012 +5763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.26134444 +5766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.985240946 +5767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.10761698 +5765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.49990316 +5768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.996785812 +5769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.990517139 +5764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.47963735 +5770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.057208155 +5771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 3.319782672 +5772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 15.08101631 +5773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.59121967 +5774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.01816552 +5775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.62837158 +5778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.032853247 +5776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.179462941 +5779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.41444943 +5777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.070623746 +5780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.97270059 +5781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.613786156 +5782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.52494144 +5783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.91365643 +5784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.93331131 +5785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.886807641 +5787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.323993352 +5786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.09740271 +5789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.529627241 +5788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.975834112 +5790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.64338084 +5791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.436963484 +5792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.655930838 +5793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.443145735 +5794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.22319216 +5795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.290609353 +5796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 18.35867758 +5799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.131736381 +5798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.22160831 +5797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.26249721 +5800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.74726059 +5802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.586101572 +5804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.59059841 +5805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 19.61221463 +5806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.85736669 +5807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 15.78641578 +5803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.003846496 +5808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.220668077 +5810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.183971393 +5809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.49287603 +5811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.065970882 +5812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.751663874 +5813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.10209822 +5801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.31259194 +5814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.02449045 +5815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.60515973 +5816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.988490155 +5818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.76595373 +5817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.08861328 +5820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.877403945 +5821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.91811929 +5819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.155222528 +5822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.723813 +5823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.01079142 +5824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.042634736 +5825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.041929629 +5826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.05881065 +5827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.227491908 +5829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 4.361992001 +5830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.16909251 +5828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.849793235 +5831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.767023975 +5835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.56843378 +5832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.93448979 +5834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.814531448 +5833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 16.98638028 +5836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.524567727 +5837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.46380186 +5838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.500199201 +5839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.6516293 +5841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.216684045 +5843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.336642093 +5844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.65142153 +5840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.4458013 +5842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.67563014 +5845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.520367094 +5846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.98250463 +5849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.861068097 +5848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.89646381 +5850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.710923122 +5847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.12045909 +5852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.61392591 +5851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.34541077 +5853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 4.317757069 +5854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.555069668 +5856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.45337318 +5855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.867894009 +5858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.1731252 +5857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 19.60597975 +5860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.98151903 +5859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.860705608 +5861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.145353079 +5864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.27617098 +5863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.20024302 +5866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.109553161 +5868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.278442738 +5865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.10647421 +5867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.99474193 +5862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.00951328 +5869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.40066329 +5870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.667373992 +5871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.43480516 +5873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.708179407 +5874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.51609623 +5872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.83567784 +5875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.687183723 +5876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.397964908 +5877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.153236458 +5878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.63428496 +5879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.940444999 +5880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.364565037 +5881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.53252683 +5882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.37235814 +5883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.61265489 +5886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 15.75674988 +5884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.333733697 +5888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.60544128 +5889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.747902645 +5887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.583696858 +5885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 4.960159864 +5890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.66824225 +5891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.6908367 +5892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.183172069 +5893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.262757994 +5896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.0908718 +5897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 16.43118005 +5895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.30178874 +5899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.222028 +5898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.691776194 +5894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.945184686 +5900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.27279387 +5901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.74656271 +5902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.957285427 +5903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.105309796 +5904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.83655167 +5905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.285809161 +5906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.35978225 +5907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.66594049 +5908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.31024883 +5911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.01131435 +5910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 4.19524699 +5912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.431434345 +5913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.343317416 +5914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.53418129 +5909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.58091885 +5915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.892483681 +5917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.7132078 +5916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 21.67640871 +5918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.55039328 +5919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.556816989 +5921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.840160469 +5920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.744450725 +5922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.000763351 +5923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.353334692 +5925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.889596012 +5924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.17877956 +5926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.462174574 +5927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.4952671 +5928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.635108849 +5929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.610201962 +5931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.37109506 +5930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 3.355356375 +5932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.28369814 +5933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.268072718 +5934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.38483072 +5935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.53131187 +5936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.8694972 +5937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.88919234 +5940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.57492103 +5939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 3.661026139 +5942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 4.103411828 +5938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 2.835558712 +5941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -1.16607123 +5944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.620253537 +5943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.74029284 +5945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.148974724 +5946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.7828516 +5948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.924968102 +5949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.198989225 +5950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.577277654 +5947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.16572631 +5952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.26744328 +5951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.715923683 +5953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.943900877 +5955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.52874318 +5956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.26572732 +5954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.77965407 +5957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.55050267 +5959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.351634451 +5958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.715938202 +5960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.22074497 +5961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.719349779 +5964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.06182455 +5962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.610991432 +5963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 4.394827367 +5966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.162422941 +5965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 6.151830553 +5968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.841493502 +5967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.17590978 +5969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.244613563 +5971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.511342094 +5972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 15.24992122 +5970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.143801062 +5973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 3.903964525 +5974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.73005626 +5975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 2.226573131 +5976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.032534622 +5978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.76305752 +5979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.3832426 +5981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.714631261 +5980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.610386182 +5977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.99631286 +5983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 16.71709918 +5982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.93050157 +5984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.44409244 +5987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 15.91545409 +5985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.415773711 +5988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 7.008729978 +5989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.70400034 +5990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.63488334 +5986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 14.07444819 +5991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 11.48347642 +5992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 13.3511403 +5993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.712867245 +5994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.311849431 +5995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 10.70408106 +5997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.47241113 +5998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.674581705 +5999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 8.367634199 +6000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 12.76775334 +5996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 9.097124946 +6002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.290509785 +6003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.99810516 +6001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.108996762 +6004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.76615174 +6005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 3.034761978 +6006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.833346505 +6007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.06918888 +6008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.565832458 +6009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.138403713 +6010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 17.2860202 +6011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.087661727 +6012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.4959163 +6013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.67892522 +6014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 16.57597825 +6015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.37135102 +6017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.20030503 +6016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 4.839728155 +6018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.296509095 +6019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.674098685 +6020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.87866432 +6021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 15.01978859 +6022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.091264272 +6023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.600680933 +6024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.520375727 +6026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.01230949 +6025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.237165685 +6027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 1.722379131 +6028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.385030065 +6030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.256099702 +6029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.58682501 +6031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.583313278 +6032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.297778121 +6033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.07153677 +6034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.136009297 +6035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.141259274 +6036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.4644899 +6038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.228872522 +6037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.82315484 +6039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.59847389 +6040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.07103167 +6041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.458327591 +6042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.921950841 +6044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.317340897 +6046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.021125534 +6043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.80101705 +6045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.77478658 +6047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.770134495 +6048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 4.189547232 +6049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.811683398 +6050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 15.83242923 +6052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.565815182 +6051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.37451158 +6054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.1021425 +6055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.71609441 +6053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.247222378 +6056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.24419447 +6057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.755763253 +6058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.09627593 +6059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.75980677 +6061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 3.244474914 +6062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.698413471 +6060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.916765798 +6064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.7441586 +6063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.966316041 +6065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.471433263 +6066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.920455783 +6070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.404949646 +6069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.826053002 +6068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.757968852 +6067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.01310452 +6071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.022204704 +6073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.694020557 +6072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.09114001 +6074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.12302946 +6075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.119929975 +6077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.48009901 +6076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.18321573 +6078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 16.24827053 +6079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.517867705 +6080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.877404721 +6082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.972211656 +6081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.45334576 +6085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.757555232 +6083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.50593532 +6084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 16.03219096 +6086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.299101952 +6087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 3.12060774 +6088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.263389943 +6089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.106591 +6090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.79357405 +6093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.60922049 +6094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.579506766 +6091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.90322503 +6095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.1435946 +6092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.133253465 +6096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 16.92906615 +6097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.795677616 +6101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.266758666 +6100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 4.230094325 +6099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.099964618 +6103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.68746706 +6102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.8279625 +6104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.97387704 +6098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.45330784 +6105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.1963441 +6106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.11220531 +6107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 15.99831539 +6108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.85429508 +6110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.581444953 +6109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.03096779 +6111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.948066273 +6113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 15.25114905 +6114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.853358086 +6115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.97164927 +6112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.43909481 +6116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.65990775 +6117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.46846029 +6118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 16.18345784 +6119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.892708558 +6120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.71791555 +6121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.11534778 +6122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.18647206 +6125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.20175525 +6124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.456476608 +6123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.177479535 +6126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.26098699 +6127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.26321357 +6128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.78781949 +6129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.981198926 +6130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.736379614 +6131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.235197355 +6133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.487600504 +6134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.19708731 +6132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.528250157 +6135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.0797433 +6137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.936760854 +6141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.63334549 +6139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.227656622 +6140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.00189894 +6136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.71265878 +6142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.11040768 +6143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.39880462 +6144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.47635195 +6138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.305778381 +6146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 4.875671295 +6145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.22749222 +6149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.295012949 +6147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.354696 +6148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.987147927 +6150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 4.404846663 +6151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.079074795 +6152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.699727341 +6154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.30476553 +6153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.20690349 +6155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.4255582 +6157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.717855264 +6156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.537732781 +6158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.971246327 +6159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.607247104 +6160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.774817662 +6161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.114553544 +6163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.6961977 +6162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.81652962 +6164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.72977122 +6165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.54769017 +6166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.5942187 +6168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.46987297 +6167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.57589846 +6169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 3.905851025 +6171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.94244117 +6170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.97961065 +6172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.059748877 +6174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.19386388 +6175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.229290191 +6173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.73272581 +6176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.72520693 +6177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.902359905 +6178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.765465218 +6179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.40328649 +6180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.19182394 +6181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.64152095 +6184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.24679941 +6182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.14796526 +6183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.35492923 +6186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.29372068 +6185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 15.33268428 +6187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.659242613 +6188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 17.58415978 +6189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.09441723 +6190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 2.92457028 +6191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.112668158 +6192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.19160911 +6194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.46854411 +6193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.923631759 +6195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.22538949 +6196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.64968822 +6197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.899804893 +6198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.18704161 +6199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.664496812 +6202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.61714238 +6201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.00469901 +6200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.04951415 +6203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.535267735 +6204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.70320977 +6205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.106747833 +6206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.891120715 +6207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.760997017 +6208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.49611359 +6209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.614983285 +6211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.62293285 +6212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.09910563 +6213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 16.64432239 +6215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.74500482 +6214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.421193762 +6216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.47818455 +6217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.12435345 +6210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.51592888 +6218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.70544044 +6220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.37495072 +6219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.46313364 +6221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.370966939 +6222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 18.07622286 +6224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.8573827 +6223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.35279937 +6225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.63918339 +6226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.984187002 +6228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.0598996 +6227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.355976501 +6230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.785555405 +6229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.65624818 +6232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.85930879 +6231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.13807142 +6234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.92045231 +6235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.52805275 +6233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.329381158 +6236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 1.963878315 +6237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.42153658 +6238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.46319318 +6239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 16.84866598 +6240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 18.25985294 +6242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.791426318 +6243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.241216035 +6246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.854284443 +6241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.55597599 +6245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.996644504 +6244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.79779788 +6247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 15.13639731 +6248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 4.878756756 +6249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.12540602 +6250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 3.25057186 +6251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.30968538 +6253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 16.03785054 +6254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.264107178 +6252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.121801781 +6256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.29765855 +6255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 15.70012016 +6257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.37073325 +6260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.650233141 +6259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.237724212 +6261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.303504102 +6263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.169903436 +6258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.498397983 +6264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.549272275 +6262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.63790073 +6265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.76719453 +6266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.570336303 +6267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.857652718 +6268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.143633712 +6271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.98901467 +6269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.890111692 +6270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.23789963 +6272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.59642895 +6273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.509616247 +6275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.48627043 +6274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.00162439 +6276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.398175523 +6278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.304257966 +6277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.442991006 +6280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.873478446 +6279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.60968605 +6281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.706982501 +6283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.20809723 +6282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.80211995 +6285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.56858808 +6284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 21.62221239 +6286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.85244043 +6287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.275760333 +6288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.911060387 +6289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.31387339 +6291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.41268367 +6292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.90319685 +6290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.25415793 +6294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.07915754 +6293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 16.21514553 +6295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.56573466 +6296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.43091686 +6297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.199393164 +6299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.946898569 +6298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.256611413 +6300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.772039565 +6301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.980681072 +6303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.729825362 +6304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.7184765 +6302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 15.21454002 +6305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.043278287 +6308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.520254806 +6307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.77800849 +6309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.46833715 +6306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.85818441 +6310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.603404906 +6312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.092814206 +6313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.66902226 +6315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 4.60405352 +6314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.03976602 +6317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.31286494 +6316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.942449711 +6311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.209178987 +6319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.93057047 +6318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.79892898 +6320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.422664071 +6322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.08781705 +6321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.09956832 +6324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 4.196761419 +6323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.35927145 +6325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 15.53599646 +6326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 1.996795951 +6327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.72965461 +6328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.10725678 +6329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.133788301 +6330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.49172809 +6332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.540195877 +6331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.15396217 +6334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.819136213 +6335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.07474457 +6336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.66737 +6337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.69663987 +6333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.54174523 +6338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.19548746 +6339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.956328583 +6340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.05486775 +6341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.405607535 +6342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 15.29739882 +6343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.749848667 +6344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.85059 +6345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.29492037 +6346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.08408664 +6347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.824275199 +6348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.037137359 +6349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.242482039 +6350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.707552419 +6352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.50105087 +6354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.18576433 +6351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.21038399 +6355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.581345691 +6353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.21499162 +6356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.523222271 +6357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.14961522 +6358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.64933389 +6359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.035183147 +6360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.673021973 +6361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.020984663 +6362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.90527142 +6364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.06429076 +6363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.946951826 +6366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.454426867 +6365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.530907998 +6367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.332822981 +6368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 4.203806989 +6370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 3.857910267 +6369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.09228719 +6371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 4.508546263 +6372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.64132567 +6373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.450231098 +6374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 3.726432827 +6375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 15.21736614 +6377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.37316996 +6378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.38387094 +6379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.21062564 +6376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.235893632 +6380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.283783425 +6381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.715016015 +6382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 15.38094225 +6383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.674047658 +6384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.91307118 +6385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.52041442 +6387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.5023669 +6386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.74976158 +6389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.46564915 +6388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.54510347 +6390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.081750842 +6393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.33385247 +6391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.825206396 +6392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.02040784 +6394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.63802989 +6395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.222666494 +6396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.42167499 +6398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.930143616 +6399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.60208551 +6400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 3.043405016 +6401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.076364989 +6402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.80614493 +6397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.303087294 +6403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.993083043 +6404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.566547014 +6406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.40724301 +6408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.582826788 +6405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.37302358 +6407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.89898049 +6409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 1.127694905 +6410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.00136608 +6411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 18.9717131 +6412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.336350122 +6416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 17.25808963 +6414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.551549242 +6415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 4.818167406 +6413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 4.996004536 +6417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.562273014 +6418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.813583486 +6419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.39948416 +6420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.773176982 +6422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.66871797 +6421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.78025404 +6423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.48596554 +6424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.34896659 +6425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.18284608 +6427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.43944679 +6426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.69487844 +6428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.6522407 +6429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 1.418022526 +6430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.97587223 +6431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.825859183 +6432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.58421827 +6433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.425620409 +6434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.58912446 +6436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.81664717 +6435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.87797756 +6438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.53730753 +6437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.32020309 +6439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.02409882 +6440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.176278301 +6441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.46459223 +6442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.81698252 +6443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.55545384 +6444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 18.69544577 +6446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.713924954 +6445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.611546472 +6447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 17.13945131 +6448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.729495905 +6449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.49801372 +6450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.23793978 +6451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.169303877 +6453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 4.906984053 +6455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.410777603 +6454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.141876812 +6452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.40969798 +6457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.83246491 +6456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.40397311 +6458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.904996073 +6459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.01757088 +6462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.701028 +6460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.882645 +6461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.24744139 +6464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.03156858 +6465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.835005543 +6463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.07871857 +6466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.227064 +6467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.61484083 +6468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.505132424 +6469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.91156154 +6470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.148247858 +6471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.686269557 +6472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.540408182 +6473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.194349941 +6475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.859536383 +6476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.717680267 +6474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.66240831 +6477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.89331561 +6478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.27080278 +6479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.679981194 +6480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.874276777 +6481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.015751503 +6482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.35532604 +6485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 4.659721147 +6483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.46904249 +6484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.50309482 +6486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.74215432 +6487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.89919815 +6488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.83384422 +6490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.33452911 +6491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.11315832 +6489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.09902404 +6494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.54041389 +6492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 15.06005567 +6493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.354490832 +6495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.508402277 +6496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.79438834 +6497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 17.30514025 +6501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.211727 +6500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.139018025 +6498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.32763454 +6499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.76757875 +6502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.34786455 +6503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.221061641 +6504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 17.65766105 +6505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.67302708 +6506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 4.632596062 +6507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.44662722 +6510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.51485182 +6508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.81630067 +6511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.89340011 +6512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.049751871 +6509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.267404065 +6513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.24301998 +6515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.76160415 +6514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.7247561 +6516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.045129747 +6517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.60202926 +6518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.916847872 +6519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.404776309 +6520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.609280831 +6521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.452833976 +6522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.309996597 +6523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.20763809 +6524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.618680059 +6525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.21889062 +6526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.397085315 +6527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.679551571 +6529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.17021893 +6530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.384929297 +6528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.59152835 +6531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.546911397 +6533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.496837892 +6532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.31809243 +6534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.247394659 +6535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.163132471 +6536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.56204902 +6537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.98590019 +6539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.635473499 +6538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.598566296 +6541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.273425388 +6540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.461436876 +6542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.57864788 +6543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.47406145 +6544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 16.72215399 +6545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 2.815968215 +6546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.999816719 +6548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.164941428 +6549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.171010261 +6547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.298526 +6550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.347829192 +6552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.28173532 +6551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.43291902 +6554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.16971914 +6553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.73890935 +6556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 4.810937827 +6555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 18.13977373 +6560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.2666354 +6559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.87331537 +6558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.103218623 +6562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 3.857329726 +6557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.80400156 +6561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.52685125 +6563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.63555327 +6564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.885274255 +6565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.07542305 +6567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.70468115 +6566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.98394047 +6568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 1.100374078 +6569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.519240409 +6571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 17.21285017 +6572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.896032067 +6570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.0152565 +6573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.101297048 +6575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.37605752 +6574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.52925983 +6576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.073751252 +6578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.503624214 +6579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.391674126 +6581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.53439905 +6583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.789724364 +6582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.64465367 +6577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.27180614 +6584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.559990149 +6580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.00003837 +6585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.393299244 +6586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 15.06128134 +6588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.342151278 +6590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.63547568 +6589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 4.793307697 +6587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.07945169 +6591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.57162196 +6592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.27819202 +6593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.76622267 +6594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.34067222 +6596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.588005252 +6595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.070932939 +6597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.553182687 +6598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.586523667 +6599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.67262375 +6600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.128753723 +6601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.816084629 +6602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.74739262 +6603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.676199744 +6604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.85999573 +6605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.044612901 +6606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.75869049 +6607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.120876818 +6608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.814273432 +6610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.112464195 +6611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.900528668 +6612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 4.642375271 +6614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.895492089 +6609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.562262524 +6613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.29831973 +6615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.080841612 +6617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.724388189 +6618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.5145662 +6619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.26285875 +6621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.968279703 +6622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.1408958 +6620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.60569011 +6616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.85889325 +6623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.20937697 +6626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.781307407 +6624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.685893301 +6628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.48509097 +6627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.81752003 +6625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.18800924 +6631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.75392994 +6630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.865424059 +6629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.12006014 +6632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 15.36060948 +6633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.28790988 +6634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.81428889 +6636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.37784657 +6635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.121187172 +6637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.355048178 +6639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.341395327 +6640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.195398646 +6642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.788919332 +6638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.763740628 +6641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.154888248 +6645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.668532021 +6643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.35219941 +6644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.96728255 +6646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.129275609 +6647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.26180852 +6648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.816188353 +6650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.05392196 +6649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.939158107 +6651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.33176251 +6652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.113723906 +6653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.47052705 +6654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.85241275 +6655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.018929875 +6656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.78099808 +6658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.696174257 +6660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.841498 +6659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.18221021 +6661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.344852031 +6663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.73647882 +6662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.78595104 +6664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.2380287 +6657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.64961429 +6665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.706364082 +6667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.377094826 +6666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.569096972 +6668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.779689588 +6669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.504006698 +6671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.159227999 +6672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 16.83440044 +6673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.052905881 +6674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.42674096 +6675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.87328424 +6676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.629474286 +6670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.813885128 +6677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 3.662066984 +6678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.22301751 +6680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.17722878 +6679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.28722157 +6681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.1663055 +6682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.829713314 +6684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.250656853 +6685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.09646983 +6683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.55159867 +6686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.29412553 +6689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.99265196 +6687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.338719539 +6688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.4839038 +6690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.396734263 +6691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.16437247 +6693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.12666012 +6692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.40212256 +6694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.28279609 +6696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.24130587 +6695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.219258914 +6697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.15708095 +6698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.394342597 +6699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.63133017 +6700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 1.60527792 +6701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.180222675 +6702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.86746235 +6704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.24563983 +6706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.41666029 +6703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.53389962 +6707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.88328056 +6705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.594768194 +6709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.591318925 +6710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.50575045 +6708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.87602655 +6712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.911379086 +6711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.164207357 +6713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.867002296 +6714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 4.169552406 +6716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 4.210377559 +6715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.350307953 +6718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 16.59357127 +6717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.987784634 +6719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.757418229 +6721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.28065756 +6720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.873579785 +6722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.438524563 +6723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.383392275 +6727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.56848416 +6726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.976862713 +6725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.582524032 +6728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.504877426 +6724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.37084342 +6729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.974931922 +6731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.618108506 +6730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.226258091 +6733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.355747571 +6735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.6326968 +6732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.45572228 +6734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.102143738 +6736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.080550399 +6737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.29146372 +6738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.739016329 +6739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.658397154 +6741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 3.36182025 +6743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.51918609 +6742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.281435547 +6740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.3238169 +6747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.46429352 +6745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.305142757 +6746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.22916485 +6744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 15.63796712 +6751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.01745218 +6750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.21791902 +6748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.327046388 +6749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.4089784 +6754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 16.1963788 +6753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.280246918 +6755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.89902619 +6752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.2137512 +6757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.23375894 +6756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.27419635 +6758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.909402105 +6759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.571772201 +6760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.524575712 +6761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.27295812 +6763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.203187332 +6764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.63925432 +6765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.68991793 +6767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.16298344 +6766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.001428854 +6762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.432013461 +6768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.63623891 +6769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.06244952 +6770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.01908447 +6772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.29673396 +6773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.96836836 +6771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.56111913 +6774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.532238758 +6775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.54517503 +6777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 15.24800741 +6776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.970973918 +6778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.096964935 +6779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.79098483 +6780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.181131891 +6781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.02968749 +6782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.1663497 +6784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.312017528 +6785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 18.23918964 +6787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.82888331 +6783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.635968678 +6786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.033126668 +6789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.595210647 +6788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.63184739 +6790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.925946932 +6792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.905636074 +6791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.49192467 +6795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.060155655 +6794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.73483559 +6793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 4.86940215 +6796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.57426996 +6797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.597218646 +6798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.66832518 +6799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.07919492 +6800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.596465646 +6801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 4.37913434 +6803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.52192533 +6804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.334879089 +6802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.90682012 +6805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.315126105 +6808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.68865428 +6807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.016870519 +6809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.02307239 +6810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.782236672 +6811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.353217282 +6806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.393038609 +6812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 15.6876947 +6814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.35549289 +6815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.389603442 +6813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.25739167 +6816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.70365409 +6817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.20712776 +6819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.3366655 +6818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.425612143 +6821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 15.13167711 +6822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.182109022 +6823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.6947314 +6825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 15.41529416 +6824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.731176922 +6820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.44032712 +6826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.57421488 +6827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.44048616 +6828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.66152484 +6829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.54179407 +6830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 15.2713189 +6832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.46986871 +6831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 15.11312976 +6833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.42671314 +6834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.95995888 +6835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.14378074 +6837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.77372166 +6838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.36905064 +6840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.093080584 +6839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.21625554 +6836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.302570396 +6842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.3600176 +6841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.74263293 +6843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.27408938 +6845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.20919412 +6844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.5874859 +6847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.992479662 +6848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.84279735 +6846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 17.22029098 +6849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.258807707 +6851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.35322453 +6854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.76212663 +6852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.00702397 +6855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.114415205 +6856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.51324001 +6853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.32395403 +6850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.80381123 +6857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.2229676 +6858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.86734982 +6860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.12936654 +6859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.43481355 +6862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.34272337 +6863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.24100389 +6861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.506103303 +6864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 15.3199712 +6865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.81214874 +6866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.89024119 +6868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.775817486 +6867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.06545019 +6870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 19.76663267 +6869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.48957327 +6871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.54324036 +6873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.18213692 +6876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 4.87130054 +6875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 15.06590687 +6874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.360457114 +6872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.65369087 +6878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.35579881 +6877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.94583146 +6879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.881418 +6880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.46806017 +6881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.03376383 +6883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 16.25146526 +6882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.877474365 +6884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.070176852 +6885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.33075939 +6886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.98700898 +6887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.96431531 +6888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.505993144 +6891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.99362194 +6890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 4.708752724 +6889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.320162756 +6895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.007049413 +6893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.3962529 +6894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.855155 +6892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.007694917 +6896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.486808038 +6898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.44013351 +6899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.95988124 +6900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.85050586 +6901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.37872287 +6902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.39247874 +6897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 3.674561607 +6903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.73555122 +6904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.886616353 +6905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 4.640023368 +6907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.598111071 +6906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.77799943 +6909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.049295213 +6908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.617574843 +6910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.29419798 +6912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.198023941 +6911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.577640089 +6913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.42205093 +6914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.935539157 +6915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.76822048 +6917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.56620827 +6918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.104489 +6919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.802265984 +6916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.895429792 +6921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.49589115 +6923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.36701624 +6924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.48770864 +6920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.657704425 +6922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.454299323 +6925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.67510033 +6927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.137575172 +6928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.67784857 +6930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.02320272 +6926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.823903974 +6929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 2.843502866 +6932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 17.33064685 +6931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.70803847 +6933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 17.16170317 +6935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.05994543 +6934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.74882772 +6936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.08242766 +6938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 18.74696417 +6937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.168729048 +6939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.441911309 +6941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.45528823 +6940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.2045077 +6942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 4.172455881 +6944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.78076868 +6943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.57058666 +6947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 1.595248296 +6945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.48285114 +6948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.158297419 +6950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.19819181 +6949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 16.81331097 +6946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.02679445 +6952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.876228872 +6951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.855914271 +6953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 16.3913191 +6954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.566526649 +6955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 16.15934855 +6956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.018715439 +6960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.792853655 +6958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.853686339 +6961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 19.76530236 +6959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.520787355 +6957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.03651883 +6962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 4.703806325 +6963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.011527309 +6966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.898585485 +6965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.752239332 +6967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.42908911 +6969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.94274492 +6968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.779408592 +6964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.4779988 +6970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 5.359199659 +6971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.79613367 +6972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.37076327 +6973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.67100122 +6974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.707605229 +6976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 15.36121199 +6978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.9637842 +6975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 14.34707552 +6977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.870287619 +6980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.73909212 +6981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.92542547 +6979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.07046942 +6982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.67611145 +6983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 12.95650478 +6984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.368906184 +6985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.845322523 +6987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.939638155 +6986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.78297117 +6988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.355869776 +6989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.623142959 +6991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.7791117 +6990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.950842795 +6992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.7139858 +6993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.05535732 +6996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 10.72737652 +6994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 13.077674 +6998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 8.964986321 +6999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.675804466 +6997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 11.24782648 +7000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 9.550198891 +6995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 6.664037426 +7001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.18231372 +7002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.992828275 +7003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 16.12794387 +7006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.26381006 +7005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.608635953 +7004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.790332878 +7007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.04356517 +7008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.3095533 +7009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.570907102 +7010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.262980261 +7011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.787510177 +7013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.29476401 +7014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.32102763 +7012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.008090742 +7015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 15.4899822 +7017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.379492315 +7016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 17.60722773 +7018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.839236871 +7020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.487259612 +7021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.779391876 +7022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.72724095 +7019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.856550685 +7024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.39578233 +7025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.791852081 +7026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.35328994 +7023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 17.20449727 +7027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.804616006 +7028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.218073237 +7029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.29609406 +7030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.46561839 +7031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.922273647 +7033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.855499477 +7034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.727139666 +7035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.51994955 +7036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.381725751 +7038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.8307848 +7037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.21602948 +7032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.87183461 +7040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.26344044 +7039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.77508473 +7041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.18400424 +7042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.4625511 +7044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.58105801 +7045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.75283936 +7043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.37669318 +7046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.24162066 +7048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.201393636 +7049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.389846214 +7047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 18.39320226 +7051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.04759941 +7050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.492576215 +7052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.696511877 +7053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.37074838 +7056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.67510932 +7057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.95196529 +7058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.500954608 +7055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 17.2366165 +7059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.73934417 +7060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.14997244 +7054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 5.720328915 +7061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.61090121 +7062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.226439904 +7064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 5.361939174 +7065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 5.923362857 +7063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.439543958 +7067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.65861393 +7068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.454312124 +7069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.93430617 +7066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 16.25133956 +7070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.96916966 +7071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.09258301 +7072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.981468633 +7074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.072556666 +7073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.00601865 +7076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.962515276 +7077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.777820542 +7078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.17328981 +7079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.636627073 +7080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.655056267 +7075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.17420049 +7081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.741927605 +7082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.381442257 +7085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.1771956 +7083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.855463344 +7087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.24336682 +7086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.816563633 +7084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.98486554 +7088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.361303635 +7089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.31936483 +7091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.334034696 +7090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.675301449 +7092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.60363169 +7095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.898674739 +7094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.00533969 +7097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.259875194 +7096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.538402871 +7093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.73983642 +7098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.582124644 +7099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.874218878 +7102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 2.978940432 +7101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.83117662 +7100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.30519979 +7103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.078240218 +7105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.08310333 +7104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.577238802 +7106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.09416107 +7107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.827325073 +7110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 15.09554854 +7111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.419559326 +7109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.35758634 +7108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.562901967 +7112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.39430876 +7113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.750562733 +7114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.76917073 +7115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.567781279 +7117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.13140489 +7116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.47200968 +7118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 17.5175995 +7119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.936495254 +7120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.77397743 +7122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.91665481 +7121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.768001032 +7123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.14730562 +7125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.61738941 +7124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.89592258 +7126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.605049724 +7127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.70910365 +7128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.4703382 +7129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.93808287 +7130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.35168547 +7131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.929611043 +7132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.944621635 +7133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.90530643 +7134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.637207595 +7135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.05681017 +7137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.50811569 +7136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 5.728795299 +7141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.27056412 +7143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.84418282 +7142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.165080201 +7140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.334258197 +7138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.169865592 +7144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.74336162 +7139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.958577485 +7145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.932697233 +7146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.705656946 +7149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.730936376 +7147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.97432493 +7148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.59782812 +7151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 5.864999038 +7150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.805590655 +7152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.2367626 +7153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.49982495 +7154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.605296968 +7156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.19399625 +7157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 15.20210106 +7155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.66580364 +7158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.614228 +7160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.88096387 +7161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.4401181 +7159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.527267464 +7162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.298497769 +7164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.27652486 +7163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.500136557 +7165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.66554812 +7166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.97644757 +7167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.0429498 +7168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.136410298 +7170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.75699317 +7169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.12858615 +7171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.38389575 +7172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 15.71114425 +7173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.83980854 +7174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.490212664 +7175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.11583473 +7177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.32524709 +7178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.102979036 +7179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.50748547 +7176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.058927556 +7180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 15.27560591 +7182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.97490865 +7183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.210494245 +7181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.14011886 +7184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.857906383 +7187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.528535992 +7186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.593528432 +7190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.70300174 +7189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.848733123 +7191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.608895785 +7188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 4.751931808 +7185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.872347703 +7192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 4.03919757 +7194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.42832001 +7195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 3.36699286 +7196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.71762962 +7193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 17.71671331 +7198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.49292142 +7197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.164842829 +7199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.7615993 +7200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.6080995 +7201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.385023627 +7203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.984188228 +7202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 15.09661209 +7204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.074036804 +7206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.224886284 +7205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.138362153 +7208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.58983598 +7209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.24670901 +7210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.35954469 +7211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.341758251 +7207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.415620794 +7213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.92587662 +7212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.721090888 +7214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.885215858 +7215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.6666525 +7216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.35899574 +7217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.91594692 +7218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.6667843 +7219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.88110887 +7220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.242860536 +7222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.15514667 +7221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 5.825195083 +7223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.29667536 +7224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.932464458 +7225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.98316475 +7226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.67507325 +7228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.156746646 +7229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.59459961 +7230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.909972788 +7231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.026749268 +7232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.24607919 +7233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.944648 +7234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 5.402863755 +7227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.25364589 +7237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.429073306 +7235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.78850386 +7236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.09410305 +7238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.993280276 +7240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.731900464 +7241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 17.42105549 +7239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.71977922 +7242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.139010691 +7243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 17.45105755 +7244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.72827846 +7245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.75875212 +7246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.58006778 +7247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.219499657 +7249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 17.98449462 +7248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.161389066 +7251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.091750772 +7252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.085216714 +7253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.68254999 +7250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.90732691 +7254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.33278119 +7257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.183224249 +7255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 4.436974322 +7256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.379754876 +7258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.42201351 +7259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.206295994 +7262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.99360364 +7260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 15.8116862 +7261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.215372514 +7263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.64567825 +7264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.23857026 +7265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.35804036 +7267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 3.891844904 +7266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.779422187 +7269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.5693993 +7268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.490378839 +7273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 4.790300023 +7272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 1.811898568 +7271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.639139166 +7270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.199117637 +7275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.06528166 +7277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.179792888 +7274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.885481359 +7279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 3.708314379 +7276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.48558964 +7280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.35001531 +7281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.355780612 +7278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.493683239 +7282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.715932496 +7283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.02511755 +7284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.16754899 +7286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 3.886950808 +7285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.11114015 +7287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.1599571 +7288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.983019935 +7289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.50343622 +7290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.24154347 +7291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 5.45716875 +7292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.52107515 +7293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.08333881 +7295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.35666303 +7294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.09531208 +7297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.08422655 +7296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.3441989 +7298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.179294433 +7299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 2.175398954 +7301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.51641542 +7300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.441310548 +7302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.85846308 +7303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 3.501196813 +7304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.224867932 +7305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.92677711 +7306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.32601332 +7307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.58118567 +7309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.744175117 +7308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.475820212 +7310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.71413709 +7311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.89149962 +7312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.17507424 +7314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 17.06892824 +7313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.984096141 +7316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.86302324 +7315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.28242296 +7317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.045681545 +7319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.36684282 +7318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.700391223 +7321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 15.4301372 +7320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.30715896 +7322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 3.0203661 +7323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.30219753 +7324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.486447675 +7325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.011654961 +7327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.447761537 +7326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 5.541246892 +7328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.20229069 +7330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.983410898 +7329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.05635071 +7332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.10246471 +7333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.08944361 +7331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.52037533 +7335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.266421251 +7334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.109272719 +7336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.544494824 +7337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.476557241 +7338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.22523759 +7339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.30574086 +7340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.67058751 +7342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.620187757 +7341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.592609056 +7343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.03353755 +7344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.61675474 +7345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.17457179 +7346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.44307888 +7348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.782970062 +7347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 16.36689693 +7351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 15.22464195 +7349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.731131021 +7350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 3.985071938 +7352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 4.842174275 +7354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.72492119 +7353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.78366068 +7356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.64012037 +7355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.545300355 +7357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 5.733311615 +7358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.16307519 +7359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.6053995 +7360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 15.94689185 +7361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.0000929 +7363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.9765955 +7362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.417950273 +7364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.49245404 +7365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.970974178 +7366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 4.719825533 +7368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.55870663 +7369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.265698644 +7371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.18086191 +7370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.82733554 +7372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.453298623 +7367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.593393197 +7373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.19397386 +7374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.532186499 +7376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.99048622 +7375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.916171834 +7377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.27241442 +7379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.73314289 +7381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.56971241 +7380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.834896759 +7378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.489873792 +7382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.907358112 +7383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 4.324285608 +7384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.63398553 +7386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.53554943 +7387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.823456101 +7385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.507536291 +7389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.86527404 +7390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 3.803612292 +7388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.45875127 +7391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 15.30400681 +7392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.912345178 +7394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 5.389418568 +7395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.293968222 +7393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.397143064 +7396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.922575062 +7397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.13681869 +7398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.90299366 +7399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.17590659 +7400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.0411632 +7402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.44816333 +7401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.00690298 +7403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.747160587 +7404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.67230083 +7405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.903140682 +7406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.200460747 +7407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.41095828 +7408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.710548827 +7409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.66353948 +7411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 15.06984235 +7412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.13363516 +7410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.32120704 +7413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.17335846 +7416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.21054529 +7414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.530072809 +7417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.87696116 +7420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.740260888 +7415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.13597953 +7418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.86233544 +7419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.30897636 +7421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.48906542 +7422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 18.32668678 +7424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.512824278 +7426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.66429667 +7425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.746262408 +7423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.6853694 +7428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 3.624680348 +7427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.771978608 +7429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.591013586 +7430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.92558264 +7432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.27985836 +7431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.76186151 +7433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.62144051 +7436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.54515088 +7435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.49307496 +7434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 16.22611524 +7437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 19.7605054 +7441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.07479426 +7438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.230798373 +7440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.940345624 +7439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.354482779 +7442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.359969903 +7443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.263528097 +7445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.379758712 +7444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.183097605 +7447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.000620014 +7446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.197880416 +7448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.98144592 +7450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 5.446785089 +7449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.767577693 +7451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.096351699 +7452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 5.252524332 +7453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.02971657 +7455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.034153085 +7454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.99943515 +7456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.22454102 +7457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.15034274 +7458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.031363813 +7459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.672728341 +7460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.715040226 +7461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.151915825 +7462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.52693771 +7464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.39881384 +7463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.462434863 +7466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.18196097 +7465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 16.26009861 +7467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.656205488 +7468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.320884755 +7469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 4.08570292 +7470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.177329495 +7471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.62382398 +7472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.5373625 +7473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 15.96430079 +7475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.31590187 +7474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.5776808 +7476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 15.71782238 +7477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.6218302 +7478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.690069083 +7479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.962925411 +7480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.55257108 +7482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.77778428 +7483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.96137828 +7481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 16.10183053 +7484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.523766233 +7486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.65111395 +7487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.854168603 +7485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.26529791 +7488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.7803907 +7490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.41063516 +7491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 15.46578721 +7489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.258987662 +7492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.931600647 +7493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.654194561 +7494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.459069546 +7496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.27073162 +7495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.402573711 +7497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.797661874 +7499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.81978558 +7498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.686472166 +7500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.90993946 +7501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.92722672 +7502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.58555931 +7503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.812562646 +7504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.4490403 +7506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.32223489 +7505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.43478328 +7507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 4.71279044 +7508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.05370849 +7509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.38398256 +7510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.247036654 +7511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.872941064 +7514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.272615672 +7513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.865766409 +7515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.662587922 +7516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.409378711 +7517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.4689233 +7512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.207017099 +7519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.346431954 +7518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.77518762 +7521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.62839847 +7520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.83553539 +7522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.91772791 +7523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.12988749 +7524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.50484716 +7525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.58463734 +7526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.05630297 +7527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.49790993 +7528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.025221636 +7530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.92071561 +7529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.11131604 +7532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.55969685 +7531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.30263431 +7533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.220769 +7534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 4.7664034 +7535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.902400841 +7536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.864605506 +7538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.81467042 +7539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 5.949949775 +7537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.694399706 +7540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 15.9627867 +7542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.26451491 +7543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.03837871 +7544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.6568683 +7541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 5.358272859 +7545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 5.328856526 +7546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 5.238728984 +7547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.793718927 +7548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.400848355 +7549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 5.971979631 +7550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.51872226 +7551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.391199224 +7553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.913974769 +7552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.25220739 +7554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.89946768 +7555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 18.20242317 +7556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 5.582067275 +7557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.049014486 +7559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.55118717 +7558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.424255361 +7560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.11511309 +7562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 16.27555131 +7561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.29050736 +7563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.51829217 +7564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.980479149 +7565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.597257322 +7566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.98691152 +7567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.769822716 +7568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.821810789 +7569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.65862349 +7570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.66325782 +7572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.42577705 +7571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.97755796 +7574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.58973355 +7573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.927395235 +7575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.737706438 +7576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.278878919 +7577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 2.219663966 +7579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.92840673 +7580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 19.05393589 +7578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.83818004 +7581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 16.59675523 +7582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.484579846 +7584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.019894717 +7583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 3.680155663 +7585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 2.912884075 +7586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.35486499 +7587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.210434 +7588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.66365924 +7589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.509795946 +7590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.697199583 +7591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.53824296 +7592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.825792981 +7593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.28484517 +7595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.26736907 +7594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.47979587 +7597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.662355323 +7598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.54565175 +7599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 5.087843931 +7596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.89918719 +7600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.1964381 +7601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.5930307 +7602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.00066396 +7603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.76148675 +7604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 17.05834545 +7605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.27283495 +7606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.61694223 +7607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.62275266 +7609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.16145835 +7608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.03291796 +7610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 16.39324419 +7611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.53914314 +7612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.62989762 +7613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.68411283 +7614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 5.295365915 +7616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.63230914 +7617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.08725464 +7615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.2745405 +7619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.461355263 +7618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.448075035 +7620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.218044425 +7621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.63503138 +7622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 1.984075112 +7623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 5.357473594 +7624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.986989636 +7625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.10653446 +7627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 16.45543168 +7626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.41760678 +7628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.09937447 +7632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.7438342 +7631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.931770616 +7630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.849572726 +7629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.822547408 +7635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.660187 +7634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.21282966 +7633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.57911074 +7636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.306951259 +7638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.08779361 +7637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.16553446 +7640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.91163274 +7639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.855935842 +7641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.21513952 +7642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.694699034 +7643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 3.913083675 +7644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.304561534 +7645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 4.282876409 +7646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.04303621 +7647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 17.56317342 +7648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.4691294 +7649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.73067602 +7650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.549059003 +7651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.97926412 +7652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.396101368 +7653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 4.550091926 +7654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.603360254 +7655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.38706192 +7656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 15.14667993 +7657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.25598906 +7658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.021334029 +7660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.451630882 +7662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 4.613177568 +7661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.893454877 +7663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 17.43117695 +7659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.66773279 +7665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.662443315 +7666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 5.963756825 +7664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.52663476 +7667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 5.78246816 +7668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.699953866 +7669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.037460714 +7670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.586022734 +7672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.88325663 +7671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.971318499 +7673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 3.638182566 +7674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.014122461 +7675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.212142157 +7676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.69468449 +7677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.06810718 +7679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.507761556 +7678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.078744588 +7680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.58449027 +7681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.026675409 +7684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.020348328 +7682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.112699785 +7683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.51864241 +7685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.369985465 +7687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.388869448 +7686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.876126723 +7688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.3966723 +7690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.66444447 +7689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 15.26359817 +7691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 3.636155861 +7692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.459835556 +7693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.45955343 +7695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.519782083 +7694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.46842646 +7697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.280224192 +7699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.66047379 +7698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.98324075 +7700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.160356306 +7701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.80650265 +7696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.43762232 +7702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 18.31938536 +7703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.79054168 +7704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 5.818642181 +7706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 15.35574061 +7708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 15.39873615 +7707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 4.78342729 +7705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.07475195 +7709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 15.36961695 +7711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.870313257 +7710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.202646083 +7715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.59309967 +7712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 16.18091959 +7713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.274138559 +7716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.77766541 +7714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 16.46751605 +7718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.828706516 +7717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.92957383 +7719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.04164322 +7720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.13662925 +7724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.34509715 +7722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.59029773 +7721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.401101739 +7723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.75036865 +7725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.03464695 +7726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.970004959 +7727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 4.520700529 +7728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.717350104 +7731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.162171318 +7729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.416321152 +7732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.399455489 +7730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.57618741 +7733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.473008455 +7735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.83934651 +7736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.43171274 +7737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.09691594 +7738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.07232372 +7739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.59344623 +7740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.701816396 +7734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.55422983 +7741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.58833012 +7742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.81164996 +7743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.20302571 +7745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.29784303 +7747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.33881604 +7746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.711595578 +7744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 5.974716191 +7748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.04321352 +7749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.73862697 +7750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.74618997 +7752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 15.01399571 +7754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.426500832 +7755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.24484888 +7753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 15.70432955 +7751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.05004453 +7756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.81654396 +7757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.73892387 +7758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.299432956 +7759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.738603926 +7761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 5.140470501 +7760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.95207179 +7763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 15.55917545 +7762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.7491713 +7765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.95027489 +7764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.95448579 +7767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.6217272 +7766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.958735935 +7768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.21311782 +7769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.138246175 +7770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.39220628 +7771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.320261047 +7772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 15.87089149 +7774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.222608319 +7775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 4.829977316 +7773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.95546715 +7777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.071895125 +7776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 17.13263126 +7778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.49260567 +7779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.021333415 +7780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.639696247 +7782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.394789209 +7781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.611114506 +7785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.14226239 +7783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.45900383 +7786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.364543423 +7787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 19.87636816 +7784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.86111669 +7788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.849574364 +7789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.88357337 +7790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.13052946 +7792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.51629019 +7791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 5.461214919 +7794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.529162395 +7793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.156984736 +7795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.353950078 +7797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.37454791 +7796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.153029053 +7798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.956032284 +7801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.62930392 +7800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 3.418146458 +7802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.552655665 +7799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.56383578 +7803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.055601944 +7805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.656308383 +7804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.215075882 +7806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.424984902 +7808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.98850835 +7807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.6694808 +7810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.845575784 +7809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.63862184 +7811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.540377601 +7813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 3.96018542 +7812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.70015383 +7814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 16.35889254 +7815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 5.905346249 +7816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.80348017 +7818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 5.831041689 +7817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.456319186 +7819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.62501008 +7820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.7067749 +7821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.05095915 +7822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.27527384 +7823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.971911861 +7824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.029253066 +7825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 4.629489555 +7826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.412124745 +7827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.847501852 +7829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.98166716 +7830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.61587219 +7831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 5.483256965 +7832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.540955122 +7828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.29260701 +7833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 5.35508662 +7834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.376101289 +7835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.80492851 +7837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.8084955 +7836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 5.511302389 +7840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.1016374 +7839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.05605033 +7838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 16.01526544 +7841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.268230162 +7843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.088427267 +7845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.181983457 +7844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.192570302 +7842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.87299258 +7847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.42084717 +7848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.033499141 +7846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.686174232 +7849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.833746685 +7851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.99554386 +7850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.476708057 +7852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.14707873 +7854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.094353767 +7853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.353512923 +7855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.234706386 +7856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.67555996 +7857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 16.72724835 +7859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.97504396 +7858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.67386608 +7860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.420591164 +7861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 4.778539902 +7864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.308463722 +7862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.96490793 +7863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 18.39870413 +7865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.412768411 +7866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.08970674 +7867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.469922089 +7868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.49409573 +7869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.08552336 +7871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.99786576 +7872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.35172843 +7870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.60437374 +7873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.976264544 +7874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 15.05468826 +7875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.14395595 +7876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.242551674 +7877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.98030424 +7878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.088388535 +7879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.2175335 +7880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 2.091134922 +7881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.84539182 +7883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.121668384 +7882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.09471957 +7885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.96439182 +7884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 17.02428456 +7886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 15.04275972 +7887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 16.02502728 +7890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.52225545 +7891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 15.34492616 +7889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.137757814 +7892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.49067456 +7893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.83896128 +7888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 4.855188811 +7894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.97686442 +7895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.33598464 +7898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.832798212 +7897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.14031661 +7896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.064728906 +7900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.96136069 +7899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 17.66388174 +7901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.373371396 +7903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 5.151450901 +7902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.833484785 +7904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.027167915 +7906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.43989082 +7907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.144386873 +7908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.23557977 +7905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.49544734 +7909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.188365024 +7910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 5.651772514 +7911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.234639541 +7912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.69437041 +7913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.174392554 +7914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.800250573 +7915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.375428751 +7917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.554051 +7918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.232428761 +7919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.65462057 +7920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.312487362 +7916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.69767879 +7921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 18.61329606 +7922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.38005758 +7924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.78804377 +7925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.220530292 +7923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.21494771 +7926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.91585697 +7927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.87216343 +7928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.35299279 +7929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.59831041 +7930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.85366148 +7931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.7660693 +7933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.8927487 +7932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.315487428 +7934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.69009871 +7935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.022065092 +7937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.20463607 +7938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.07638109 +7939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.575352253 +7941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.203802741 +7936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.03972717 +7940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.629228606 +7943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 5.090010469 +7942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 4.724450317 +7944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.046102351 +7945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.972081133 +7948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.9051612 +7947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.56067767 +7946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.68866026 +7950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.8115079 +7951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.378097115 +7949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.657148407 +7952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.384424749 +7953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.22365627 +7954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.40248535 +7955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.662800194 +7956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.336971973 +7957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.929100275 +7958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.524217055 +7959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.93915733 +7960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.31774289 +7961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.702400295 +7964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.585598741 +7963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.447074583 +7965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 17.5462925 +7962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.22956417 +7968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.86177625 +7966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.82625965 +7967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 5.335855794 +7969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.478289176 +7970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 15.06735963 +7971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.366153627 +7972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.13993125 +7973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.12152018 +7974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.091401408 +7975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.510953302 +7977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.431957867 +7976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.74511889 +7978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 15.42650912 +7979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.60620387 +7980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 8.851995168 +7981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.99584372 +7982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.43431369 +7983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.8325778 +7984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.174394131 +7985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.42374736 +7986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 13.37049154 +7988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.091490697 +7989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 11.55441595 +7990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.61032153 +7987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.93749137 +7991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 10.81635962 +7992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 14.2802419 +7993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.981257127 +7994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 12.36349341 +7995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.312496616 +7996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 17.83848401 +7998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.910416842 +7997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 6.420048597 +7999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 7.838316035 +8000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 9.650551916 +8002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.243308185 +8003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.884312513 +8004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 14.14019979 +8001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.72532999 +8005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.22952894 +8006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 14.00234175 +8007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.526773988 +8008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.730789624 +8010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.573830562 +8011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.719639429 +8013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.71529181 +8009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.535360417 +8014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 19.15310404 +8012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.15673873 +8015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.38620498 +8016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.646317701 +8017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.984079329 +8019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.01861809 +8018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.292128379 +8020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.995538378 +8022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.60573905 +8021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.86214669 +8023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.57931593 +8024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.79604024 +8026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.21752335 +8027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 15.26524523 +8025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 15.15459014 +8028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.29387118 +8030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.01435773 +8029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.16870834 +8031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.533048306 +8033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.61827667 +8032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.45194601 +8035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.994634689 +8034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.737391551 +8036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.747036821 +8037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.737033461 +8038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.586387891 +8039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.65011893 +8040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.982109041 +8043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.678393828 +8042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.888603142 +8041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.4715873 +8045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.686217309 +8044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.55675689 +8046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 14.59495708 +8047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.892866627 +8048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.734857351 +8049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.476545202 +8050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 4.877144008 +8051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.72307571 +8052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.404791192 +8054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.602861292 +8053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.08573206 +8055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.78515147 +8056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.89985378 +8057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.344193253 +8058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.337655837 +8060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.811921007 +8059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.59452233 +8061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 14.51362917 +8062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.632436998 +8065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.877998206 +8064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.46245074 +8066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.65304948 +8063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.008985893 +8068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.708955393 +8067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.307031071 +8069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.63023423 +8070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.44980235 +8071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.600398702 +8074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.4528284 +8073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 4.742479997 +8075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.635100244 +8072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.476762561 +8076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.930745117 +8077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.96827469 +8078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.04778925 +8080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.417315694 +8082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.163932075 +8083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.676305296 +8081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.760028018 +8079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.01777158 +8084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.634698425 +8086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.45025319 +8085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.3317272 +8087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.82952375 +8088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.648052017 +8090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 4.286333327 +8091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.38420075 +8092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.45230098 +8089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.590944049 +8093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.486171718 +8094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.940631066 +8095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.9760092 +8096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 4.220500327 +8098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.38026874 +8097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.948806366 +8099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.70855985 +8100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.934626628 +8101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.829253357 +8102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.6374937 +8104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 16.19240477 +8103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.826444633 +8106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 14.7048195 +8105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.40425683 +8107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.140834879 +8109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.44642528 +8108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.160667586 +8111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.317181692 +8110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.93324648 +8112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.36543125 +8113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.04854175 +8115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.131895578 +8116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 15.30367469 +8118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.01378859 +8119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.04957751 +8120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 14.53518482 +8117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.670381671 +8114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.629295623 +8121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.635274255 +8123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.680783551 +8122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.64357658 +8124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.61284804 +8126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.18549619 +8127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.93231965 +8125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 15.23667384 +8128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.074158074 +8129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.80598301 +8130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.3484157 +8132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.93456837 +8131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.123287226 +8133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.460299183 +8135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.8851368 +8134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.53098222 +8137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.805614049 +8138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.680961467 +8139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.929811445 +8141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 4.853651618 +8142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.830376578 +8140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 16.83262002 +8136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.5522347 +8143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.215501357 +8144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 14.97300139 +8145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.382861429 +8147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.96500016 +8149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.31837751 +8146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.21444006 +8148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.774264326 +8151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.85854296 +8152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.23467859 +8150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.891887723 +8153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.4671415 +8155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.24195325 +8156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.18591543 +8154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.426456142 +8157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 16.44886773 +8158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.16212878 +8159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.400393711 +8160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.496037126 +8163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.15961171 +8161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.865273696 +8164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.715050024 +8165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.532583449 +8167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.896638095 +8162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.47767916 +8166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.597845917 +8168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.861240209 +8170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.599222948 +8171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.504657465 +8172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.718533106 +8169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.139530908 +8174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 14.06923698 +8173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.32746695 +8175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.80837503 +8178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.744682962 +8180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 16.00219039 +8179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.677840711 +8181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.731196782 +8182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.177985913 +8177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.36997203 +8183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.153155668 +8176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.180999034 +8184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 14.63128277 +8186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.67854603 +8187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.85639712 +8188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.692404191 +8185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.49670316 +8189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.27175271 +8190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.38985986 +8191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.50939856 +8192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.840114769 +8193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.718220651 +8194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.939214468 +8195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 14.00019682 +8196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.34559283 +8197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.277333495 +8198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.474631907 +8199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.061859095 +8201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.801379231 +8200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.363401708 +8203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.712858079 +8204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.99736265 +8202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.13463688 +8205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.16963471 +8206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 1.842852814 +8208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.069318013 +8207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.999722637 +8209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.795542927 +8212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.869897134 +8211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.919293148 +8210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.2993852 +8213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.19298226 +8214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.534743782 +8215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.66840508 +8216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 14.6172279 +8217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.405423486 +8219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 14.60184412 +8220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.72987506 +8221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.32446957 +8218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.30714104 +8222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.317191966 +8223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.874320628 +8225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 15.26225327 +8228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 14.14466986 +8227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.73806058 +8226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.63335621 +8229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.47941905 +8224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.95834073 +8231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.987402087 +8230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.279848643 +8232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.52176744 +8233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.614380779 +8234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.388324207 +8235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.913571287 +8236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.80752446 +8239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.99422134 +8241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.38738082 +8238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.66111351 +8240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.36664045 +8242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.008532007 +8243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.12423379 +8237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.273859162 +8244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.273883988 +8245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.23866432 +8247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.40694183 +8248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.978047023 +8246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.561238367 +8250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.930893588 +8251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.519344837 +8249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.853885013 +8252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.186226747 +8255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.38975652 +8253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.53525282 +8254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.690669633 +8257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 16.77470552 +8256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.66032681 +8259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.169498612 +8260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.61748098 +8258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.529670258 +8262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.34584471 +8263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.9456588 +8264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.78481956 +8261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 4.103036467 +8265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.2051281 +8266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.743272898 +8267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.54336893 +8271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 15.54888753 +8272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 4.474482326 +8269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.811086898 +8268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.29424901 +8270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.754727506 +8274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.25166466 +8273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.950045945 +8275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.738092323 +8276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.96874036 +8278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.486698776 +8277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.35360062 +8280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.688771806 +8279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.39227086 +8281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.260630759 +8282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.378837638 +8283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.1664017 +8285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.10607676 +8286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 4.673309159 +8287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.18736382 +8284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.563736034 +8289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.99643155 +8291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.62011301 +8290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.879833897 +8288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.64311983 +8293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.41752766 +8294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 4.832887917 +8295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.194689593 +8292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.53768898 +8296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.60549509 +8297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 15.60078165 +8298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 16.86807087 +8299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.08245882 +8301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 3.891927326 +8302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.090036707 +8303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 14.63887757 +8300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 4.930678965 +8304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.121581189 +8305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.426200698 +8306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.56731063 +8309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.796755322 +8310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.965493397 +8307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.889408933 +8311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.727797605 +8308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.062954891 +8314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.42800326 +8312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.663054457 +8313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.695388936 +8315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.32318301 +8317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.8984873 +8318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.861381309 +8319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.647175541 +8316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.484958636 +8320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.100822794 +8321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.22501978 +8322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.73441147 +8323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.87873557 +8325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.83290632 +8326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.053322356 +8327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.74775079 +8330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.87431937 +8328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.279935814 +8329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 4.97184633 +8324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.89945281 +8331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.127324445 +8332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 4.371840751 +8333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.24971408 +8337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.387209383 +8334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.303590933 +8336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.41654907 +8335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.720706188 +8338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 17.01506045 +8340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.471296694 +8339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 15.55328623 +8341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.24170801 +8342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.38299632 +8344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.134073852 +8345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 14.1766904 +8343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.185990048 +8347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.050232335 +8348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.100855885 +8350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.789797657 +8349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 14.44286074 +8352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.568919409 +8346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.27164928 +8351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.371046173 +8353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.970022605 +8354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.544480997 +8355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.79921407 +8356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 15.41529749 +8357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.962004537 +8361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.509656753 +8358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.726969786 +8360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.809621228 +8359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.65721271 +8362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.874839582 +8363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.883580501 +8365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 15.54125377 +8367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.97131645 +8368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.780272892 +8366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.834441247 +8364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.539430091 +8370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.519384874 +8371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.352750205 +8369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.931375637 +8373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.8871913 +8375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.99651278 +8376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 15.39514058 +8377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.80783157 +8374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.61908201 +8372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.689052581 +8378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 16.65185634 +8379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.441481796 +8382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 2.026646483 +8383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 14.41371394 +8381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.74303805 +8380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.793431826 +8384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 14.39410805 +8386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 15.60039116 +8385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.751301747 +8387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.76570016 +8388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.06367312 +8389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.026783138 +8390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.302478974 +8391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.775278063 +8393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 15.19509525 +8394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.810550472 +8392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.992403942 +8395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 16.04809974 +8397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.677309833 +8398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.00137299 +8396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.301610582 +8400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.055311103 +8399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.037048504 +8401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.369121736 +8402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.03709406 +8404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.895084669 +8405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.68355429 +8407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.969487902 +8406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.647995231 +8408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.95181903 +8409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.283731654 +8410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.402938804 +8403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.47229004 +8412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.10941991 +8413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.13115311 +8414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.180377588 +8415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 15.24052774 +8411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 15.9834301 +8416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.08918833 +8417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.241731061 +8418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.708616705 +8420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.77878409 +8419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.98672916 +8422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.415738735 +8423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.34375675 +8424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.624305901 +8421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.00468629 +8425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.850608216 +8426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.67017759 +8427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.207089853 +8428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.532885135 +8429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 15.88092894 +8430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.044360776 +8432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.975436868 +8431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.72044958 +8433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.848218471 +8434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 14.47064083 +8435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.69438226 +8436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.03530795 +8438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.87411897 +8439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.41168977 +8437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 15.45136751 +8440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.72125683 +8441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.49464338 +8442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.482133002 +8443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 16.6448757 +8444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.87319603 +8445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.5888955 +8448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.1004993 +8447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.129547464 +8446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.863550753 +8449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 15.15352883 +8450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 14.45592648 +8452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.17607994 +8456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.10436285 +8453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 14.02865663 +8455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.992866552 +8454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.11452827 +8451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.481215359 +8457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.247221833 +8459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.779099478 +8458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.79042452 +8461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.237326263 +8460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.27517982 +8462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.03950008 +8463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.1431651 +8464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.288595561 +8465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.34118149 +8466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.73637792 +8467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.59186838 +8468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.341367308 +8471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.023703954 +8469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.35530446 +8470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.54706847 +8472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.536089405 +8473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.526647878 +8474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 4.836130426 +8475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.41285412 +8477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.92822447 +8478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.09200366 +8479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.965023225 +8476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.48565114 +8480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.19122475 +8481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.147827089 +8482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.831841039 +8483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.28492867 +8484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.777389813 +8485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.38180772 +8487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.008728209 +8486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.20550402 +8488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.4049262 +8489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.31676914 +8490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 4.098255132 +8491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.785215446 +8493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.17448257 +8492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.0897653 +8494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.718827926 +8495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.74487752 +8497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.087287518 +8498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.872029042 +8496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.753248685 +8499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.026144365 +8501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.46010984 +8502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.917492269 +8500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.82547324 +8503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 17.38159744 +8504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.16686019 +8507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.357004351 +8505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.35881808 +8509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.38875615 +8506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.702087729 +8508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.854284908 +8510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.47373103 +8511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.37453725 +8512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.397933182 +8513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.69916869 +8514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.193672577 +8515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.33507319 +8517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.515396089 +8516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.966162943 +8518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.726012974 +8519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.777871432 +8521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 15.96604168 +8520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.950657176 +8522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.14026274 +8524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.17409631 +8523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.347948351 +8525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.86564141 +8526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.1881153 +8527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.731014119 +8528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.96637618 +8529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.567147001 +8530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.137386384 +8531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.978015227 +8532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.767256095 +8535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.28998027 +8534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.79557313 +8533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.509252488 +8538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.64112314 +8537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.28903963 +8536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.357052239 +8539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.36707545 +8540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.964340839 +8541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 15.69809959 +8542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.250745976 +8544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.770687582 +8545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.005472117 +8546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.29976881 +8547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.140227284 +8543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 15.87134279 +8548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 4.616720102 +8549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 14.75748131 +8550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.430377657 +8552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.86028688 +8551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.97064634 +8553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.56663655 +8554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.436885897 +8555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.700697328 +8556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.64583548 +8557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.32481341 +8558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.3316124 +8559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.349671146 +8560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 14.02324981 +8562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.42897334 +8561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.24658172 +8564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.016521737 +8565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 14.95880473 +8563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.312155496 +8566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.909340556 +8567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.20505005 +8568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.609153151 +8570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.47879485 +8569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.37345946 +8571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 14.01677349 +8572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 4.311410892 +8574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 4.150423388 +8573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.355304783 +8575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.670338642 +8576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.75188711 +8577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.645472127 +8578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.82927515 +8579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.648189753 +8580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.127114714 +8581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.1075359 +8583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.491871642 +8582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.80687403 +8584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.389002022 +8585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.77038468 +8586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.167705488 +8587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.323231607 +8588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.507407107 +8589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.76194513 +8591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.491043789 +8590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.01366271 +8593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 15.1626328 +8592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.976688387 +8594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.60974449 +8595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 16.80873275 +8596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.228943188 +8597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.598528129 +8599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.53734296 +8601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.85876501 +8600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.23168536 +8598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.925184188 +8602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.296632729 +8603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.19454111 +8604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 14.41461835 +8605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.4539812 +8606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.785730682 +8608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.514238196 +8607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.636353282 +8610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.915956181 +8609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.908299827 +8612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.25606321 +8611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.10620801 +8613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.28705783 +8614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.68596101 +8615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.367523922 +8616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.960915691 +8617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.4572122 +8618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.156343714 +8619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.05447171 +8621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.26753777 +8620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.68747107 +8622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.234428993 +8623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.62774053 +8624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.35450021 +8625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 19.07362581 +8627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.664947951 +8626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.516806114 +8628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.64540154 +8629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.157899837 +8631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.670411118 +8630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.46597938 +8632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.975860133 +8633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.409936957 +8634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.819090643 +8637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.53922788 +8636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.362329497 +8639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.813730885 +8638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.03705176 +8635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.286013846 +8640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.103773827 +8641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 18.38195192 +8642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.00474086 +8644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.698415249 +8643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.971071727 +8645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.705404774 +8646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.767368588 +8648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.903950628 +8649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.027342897 +8647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.811292548 +8650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.30627559 +8651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.682672546 +8652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.968712996 +8654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.006931779 +8653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.24815928 +8655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.89296002 +8656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.5666769 +8658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.906025463 +8659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.55697114 +8661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 16.06275569 +8662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.768033563 +8657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.754795026 +8660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.244854931 +8663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.46414752 +8665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.922464683 +8664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.188932876 +8667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.999484138 +8666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.945050281 +8670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.577165994 +8668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.769318733 +8669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.24771531 +8671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.455117184 +8672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 4.582512898 +8673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.559955604 +8675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.06246662 +8674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 3.191614383 +8677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.997494397 +8676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.740472275 +8679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.253880568 +8678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.59573769 +8680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.2541404 +8681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.763207139 +8682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.698197978 +8683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.53854694 +8684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.341944244 +8685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.813028008 +8686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.94770948 +8687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.2349394 +8688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.056724797 +8689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.312971365 +8692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.729762509 +8690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.521713837 +8691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.52504391 +8693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.03248743 +8694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.150132342 +8696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.69031214 +8695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.092885464 +8697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.125028789 +8698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.515523834 +8699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.77951431 +8701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.917552222 +8700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.18070123 +8702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.76906271 +8703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.686442054 +8704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.00443275 +8707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.417583061 +8706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.274127756 +8705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.312134095 +8708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.320205657 +8709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.60679915 +8710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.57642382 +8711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.435639348 +8712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.332172943 +8713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.78503316 +8714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.01744285 +8715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.533337634 +8716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.483825152 +8718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.63453063 +8717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.732148815 +8719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.016254104 +8722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.99017897 +8721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.172160186 +8720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 4.28294964 +8723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.785462503 +8724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.499181834 +8726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.307977034 +8725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.239901144 +8727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.779040876 +8728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 14.05906886 +8729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.963699571 +8730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.058268324 +8732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.70948474 +8731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.970027483 +8733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.45036656 +8734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.004551962 +8735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 3.739698679 +8736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.324799712 +8737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.109909996 +8739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 3.887452723 +8741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.43177567 +8740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.85229354 +8742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.28770208 +8738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.689200258 +8743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.38994169 +8744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.993089336 +8745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.401593912 +8746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.03096594 +8747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.260911077 +8748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.676781229 +8749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 17.80705652 +8751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.78573772 +8750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.666352342 +8752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 15.45418758 +8753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.276555615 +8755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.129766398 +8754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 14.95666395 +8756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.4352095 +8757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.90273004 +8758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.014134034 +8760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.490577966 +8759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 15.80679536 +8761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 4.891161246 +8762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.476686629 +8763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.162467969 +8764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.29438731 +8765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.14161329 +8766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.089574186 +8767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.00826666 +8768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.76624922 +8769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.16045891 +8771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.609379339 +8770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.256400315 +8772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.19527966 +8773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.75712121 +8774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.68125509 +8775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.12922651 +8777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 15.35184297 +8776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.002290443 +8779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.9374291 +8780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.009223114 +8778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 15.1790616 +8781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 15.82155045 +8782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.544262573 +8783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.947674889 +8784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.435733035 +8788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.195706151 +8787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.2356287 +8789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.66019246 +8785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.37171184 +8791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.532827503 +8790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.242010946 +8786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.79262958 +8792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.443554413 +8793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.16341921 +8795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 17.74132423 +8794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.83213697 +8797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 14.10308645 +8796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.466354963 +8799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.26505587 +8798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.439659059 +8800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 17.58441097 +8803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 4.721861397 +8801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.504815852 +8802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.239002906 +8804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.423374929 +8805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.65216582 +8806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.46263276 +8808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.852264423 +8807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.67386077 +8809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.128127686 +8810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.53042177 +8811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.303532865 +8812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.535356152 +8814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 15.96141618 +8813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.217164649 +8815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.24081643 +8816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.809881153 +8817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.493105556 +8818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.16038403 +8819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.61486113 +8821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.125625983 +8822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.99665359 +8820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.845467473 +8825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.346794725 +8824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 14.26088388 +8823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.63918729 +8826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.76355136 +8828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.41594223 +8827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.887206997 +8830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.60317254 +8829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.613325402 +8832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.184354251 +8831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.15777996 +8833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.886895301 +8834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.84239178 +8836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.130419837 +8837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.789711464 +8835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.92108541 +8839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.63944329 +8840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.51995133 +8842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.994423174 +8841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.04960094 +8838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.67934238 +8843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.50364833 +8845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.5609483 +8844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.31865323 +8848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 15.89501838 +8849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.837311248 +8846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.697488884 +8850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.87068919 +8847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.723120146 +8851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.787803407 +8853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.13874969 +8852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 16.59744505 +8856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 14.76420843 +8855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.328252539 +8858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.70904645 +8854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.92813571 +8859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.338131727 +8857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.8651236 +8860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.96269879 +8861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.543665533 +8863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.18604279 +8865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.62816279 +8864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.858692684 +8866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.025896648 +8867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.986756623 +8862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.937525305 +8868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.671164221 +8869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.92960266 +8870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.40518836 +8872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.126038944 +8871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 16.18946204 +8873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 15.59458072 +8875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 4.72872256 +8876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.562270752 +8877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.981691893 +8879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.04810478 +8874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.15487444 +8880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.629362606 +8881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 16.56401716 +8882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.787252285 +8883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.51497099 +8878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.52990536 +8884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.751654603 +8885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.038335976 +8886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.10097911 +8887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 16.44505696 +8888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.51891884 +8889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 14.37861641 +8890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.776089798 +8891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.572190684 +8893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.48639905 +8892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 14.28782483 +8894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 19.70837804 +8897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.109372 +8898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.24632574 +8895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.09934632 +8899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.76790962 +8896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.842154786 +8900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.9704316 +8901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.35427121 +8904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.69929046 +8903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.20949963 +8902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.386590713 +8905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.73223299 +8906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.11083507 +8907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.949365266 +8908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.05301002 +8911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 4.81072514 +8910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.82933738 +8912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.8428747 +8909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.53600165 +8914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.658438218 +8913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 14.02311251 +8915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.00590515 +8916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.643103911 +8917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.00504453 +8918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.80126674 +8920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.95630573 +8921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.46132075 +8922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.06796132 +8919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.964647661 +8923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 14.20448146 +8924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.17734133 +8926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.89323029 +8927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.4941151 +8929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.74149677 +8928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.417273346 +8925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.16656915 +8930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.8156965 +8931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.82072113 +8932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.344473661 +8933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.0483005 +8935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.101314039 +8937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.327248334 +8934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.588879509 +8938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.79202676 +8936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.0724367 +8940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.85570632 +8939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.450422061 +8941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.150508965 +8942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.0686715 +8944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.539489527 +8943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.63918351 +8946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 16.17968522 +8945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.925456556 +8947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.095200324 +8948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.06577808 +8949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.559666657 +8950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 14.91431833 +8952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.83462226 +8953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.00122081 +8951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.352052599 +8955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.974481525 +8954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.19738837 +8958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.05741579 +8957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.9677169 +8956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.85923895 +8961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 3.821795594 +8960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.967083193 +8959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.327532488 +8963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.26852332 +8962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.354492203 +8964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.28375959 +8965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.72765563 +8966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.05188574 +8967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.96465587 +8968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 15.02747599 +8969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.123665238 +8971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.25463852 +8973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.20274763 +8974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 7.548907631 +8972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.29016535 +8970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.774534167 +8975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.89086583 +8977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.493229198 +8976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.26242164 +8979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.439353331 +8978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.75546074 +8980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.534556403 +8981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.659436695 +8982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.668919058 +8983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.921080031 +8985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 10.30815157 +8987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.323875078 +8988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 5.524589253 +8989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 6.975364089 +8986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.46439882 +8990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.118929331 +8984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.115837409 +8992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.670380916 +8991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.389071472 +8993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 15.73506915 +8996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 8.286847082 +8994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.78083003 +8997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 12.09296989 +8995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.36771977 +8998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 13.83787019 +9000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 11.0221066 +9001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.834469407 +9002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.45148969 +9003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.86085429 +9005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.884775152 +9006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.59345863 +8999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 9.357535162 +9004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.52164928 +9007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.26193208 +9008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.42328465 +9009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.72585793 +9010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 4.416215004 +9011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.214860697 +9012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 15.33920052 +9013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.26618841 +9015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.45741711 +9016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.741227463 +9017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.244331478 +9018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.312897686 +9014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.782157131 +9019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.682117454 +9020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.003570748 +9021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.523034562 +9022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.95051117 +9023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.703128005 +9025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.85699375 +9024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.92126312 +9027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.07881658 +9028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.02189638 +9026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.242843797 +9029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.340292592 +9030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.689712463 +9031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.332077567 +9034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.488135839 +9035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 15.96189991 +9033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.718297254 +9037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.83485611 +9032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.107815401 +9039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.38542928 +9038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.895499525 +9036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.401598675 +9040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.214054425 +9042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.7426655 +9041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.464799497 +9043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.63440944 +9044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.223677071 +9045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.08366078 +9046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.553556522 +9048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.615158659 +9047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.932116223 +9049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.449032066 +9050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.718639997 +9051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.76514105 +9052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.897934922 +9053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.070717725 +9054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.921845046 +9055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.89078334 +9057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 16.26999334 +9056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.84655261 +9058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.450009457 +9059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 17.51558033 +9060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.10971425 +9061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.14287675 +9062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.226592798 +9063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.674087579 +9064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.01278716 +9066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.07956525 +9065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 4.225886533 +9067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.47892152 +9068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.23185957 +9069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.21281612 +9070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.78671722 +9071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.05585357 +9072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.750336726 +9073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.126990102 +9074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.951189584 +9075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.818790072 +9077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.61447517 +9079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.948545392 +9076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.83651785 +9078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.628525991 +9080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.09560254 +9081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.3859125 +9082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.675331497 +9083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.20086291 +9084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.19049214 +9085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.975070965 +9086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.286978809 +9087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 16.64058051 +9088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.21348284 +9089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.50970857 +9091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.541456803 +9092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.34795114 +9090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.571388956 +9093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.707471801 +9096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.65486935 +9095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.96552049 +9094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.790949198 +9097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.186646652 +9099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 15.42863272 +9098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.88415703 +9100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.26601583 +9101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.922487217 +9103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.438271445 +9104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.393518808 +9102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.831411407 +9105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.053964485 +9106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.97656157 +9107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.672924302 +9108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.937549059 +9109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.078339929 +9112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.489097421 +9110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.92225949 +9111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.44636595 +9113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.805741398 +9114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.229890207 +9115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.67609961 +9117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.920146851 +9120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.03187037 +9118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.803806994 +9119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.44386457 +9121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.005901119 +9116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.221315946 +9122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.339802267 +9124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.28179966 +9125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.87532587 +9126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.712756946 +9123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.2805035 +9127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.25012034 +9128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.47195373 +9129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.0493509 +9130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.124692014 +9131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.62425727 +9133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.218709281 +9135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.61131768 +9134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.11478867 +9132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.59321247 +9136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.400835696 +9137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 15.55471947 +9138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.055619199 +9139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.15871975 +9140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.56952691 +9143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.34505687 +9141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.103667613 +9142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.713003727 +9144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.224655084 +9146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.212450397 +9148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.853851695 +9147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.50853884 +9149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.248740784 +9151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.049636288 +9150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.48492647 +9145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.871446908 +9152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.21707519 +9153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.402120006 +9154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.17567716 +9155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.908874326 +9158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.370120756 +9156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.185296307 +9157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.82819301 +9159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.534453818 +9160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.84299482 +9161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.891991113 +9163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.40492047 +9162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.03464391 +9165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.046950832 +9164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.102360513 +9166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.842239994 +9168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.59077701 +9167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.943697489 +9170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.286658859 +9171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.904495801 +9169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.190451954 +9173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.09583651 +9172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.230125016 +9174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.555132736 +9175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.91003842 +9176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.04796932 +9178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.10273315 +9177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.476478225 +9179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.730670847 +9181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.59441045 +9180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.480440041 +9182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.603331719 +9183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.28550943 +9186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.921950096 +9185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.01442208 +9184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.130761128 +9187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.07979471 +9189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.772095506 +9190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 16.10500859 +9188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.66661448 +9191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.12820732 +9192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.007642867 +9193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.619205884 +9195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.876260914 +9198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 15.35611849 +9196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.507537318 +9199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.66214581 +9194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.07456098 +9197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.936905 +9201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.101248985 +9200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.67488461 +9202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.85039338 +9203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.156510431 +9205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.35184454 +9204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.139219461 +9207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.823813174 +9208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.452492758 +9206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.95061973 +9209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.97723907 +9210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.956957879 +9213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.932907054 +9212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.227944805 +9211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.749161499 +9215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.925998952 +9216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.25130257 +9214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.19558605 +9217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.827648295 +9218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.955155357 +9219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 15.47615171 +9221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.27101843 +9222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.33763054 +9220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.970663831 +9224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.26300331 +9225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.06301904 +9223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.99467386 +9226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.48989783 +9227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.19519857 +9229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.95162162 +9230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.170368533 +9232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.60243696 +9228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.795066 +9234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 16.43649223 +9231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.12972125 +9233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.411565047 +9235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.729205529 +9238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.909730373 +9237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.14334386 +9236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.172607889 +9239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.389205217 +9241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.15776011 +9240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.584863832 +9242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.96944378 +9243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.817063098 +9244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.481464268 +9245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.303648941 +9246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.56347664 +9247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.19278201 +9248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.445061097 +9249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 16.51265616 +9250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.50433359 +9252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.907544593 +9251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.226122245 +9255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.66328751 +9253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.686567681 +9254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.805085711 +9257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.250034206 +9256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.15100081 +9258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.22973846 +9259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 17.28697382 +9260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.009210522 +9261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 15.21908679 +9262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.60548373 +9263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.525963548 +9265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.999893192 +9264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 15.47451584 +9267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.44770869 +9269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 17.28091362 +9268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.27822027 +9266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.732234925 +9271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.953742542 +9270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.19572052 +9273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.588567663 +9272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.76258967 +9274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.74919393 +9275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.350562488 +9277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.60312749 +9278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.84288495 +9280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.20163903 +9279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.54376838 +9281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.49184753 +9276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.18015636 +9282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.98923723 +9283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.878081486 +9285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.73497878 +9286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.944413139 +9287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.878486427 +9284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.823438403 +9288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.79573074 +9289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.722207595 +9290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.387840416 +9291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.87363486 +9292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.961330998 +9294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.950731025 +9296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.244041007 +9295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.83261933 +9293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.044266279 +9297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.45284679 +9298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.349528633 +9299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.946210168 +9300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.09382483 +9301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.00904065 +9302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.154352478 +9304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.296466695 +9305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.39445094 +9307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.30927481 +9306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.2633961 +9303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.812033369 +9308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.587360477 +9309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.48015171 +9310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.59018124 +9311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.26206617 +9312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.53575125 +9313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.904103528 +9314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.38088625 +9315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.04520929 +9317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.729205448 +9316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.80976777 +9318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.818767894 +9319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 15.37526524 +9321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 3.938239564 +9322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.89108819 +9320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.68711859 +9323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.44305223 +9324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.927483819 +9325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.328903474 +9326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.24529737 +9327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.830550318 +9328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.972032736 +9329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.17086087 +9330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 2.42383321 +9331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.24727396 +9333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.11481485 +9332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.22280927 +9334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.93310666 +9336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.696924068 +9337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.5384765 +9335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.293734692 +9339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.13742034 +9338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.90142727 +9340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.694588999 +9341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.649069702 +9343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 15.57801613 +9342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.649671625 +9344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.87283694 +9345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.15763698 +9346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.591162667 +9348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.534744339 +9347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.552527635 +9350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.33474863 +9352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.820974201 +9351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 16.75550992 +9353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.09539064 +9356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.03130261 +9354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.101868536 +9355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.56153433 +9349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.55290991 +9357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.91283885 +9358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.61943559 +9359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.57973367 +9360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.77157132 +9361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.142246343 +9362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.705272097 +9363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.23455824 +9364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 15.27180898 +9365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.86629963 +9367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.60720131 +9366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.960961566 +9368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.477371968 +9369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.277432952 +9370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.93665222 +9372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.61927258 +9373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.79911295 +9375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.69029058 +9374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.62648808 +9376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.936141577 +9371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.89083397 +9378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.88355022 +9377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.420298882 +9379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.684628147 +9381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.123405 +9382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.53520671 +9383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 15.9831297 +9384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.880117944 +9385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.44328414 +9380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.877033051 +9386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.54010067 +9387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.89824259 +9388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.23099563 +9389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.97643778 +9394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 4.805579071 +9391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.709871916 +9393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.232881446 +9390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 15.25298108 +9395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.07391173 +9392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.342331077 +9396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.178773889 +9397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.483388191 +9398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.394495154 +9400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 4.871382802 +9399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.59008475 +9402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.07758895 +9403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.60119637 +9401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.869515618 +9404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.79999565 +9405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.006718924 +9406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.170708903 +9408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.48618773 +9409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.39882475 +9407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.63190241 +9410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.249230587 +9412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.02900063 +9411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.94871225 +9413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.25264986 +9414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.581490437 +9416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.67895742 +9415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.17115565 +9417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.295962394 +9418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.745343331 +9421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.8406992 +9420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 4.778106025 +9419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.26058697 +9422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.92185999 +9423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.532539583 +9424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 4.352984883 +9425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.463122568 +9426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.35611525 +9429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.376020091 +9428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.739265482 +9427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.599604874 +9432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.702010388 +9431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.85106297 +9433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.841207058 +9430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.329627818 +9434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.405566634 +9435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.95178877 +9437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.630367457 +9438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.74949433 +9439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.210240417 +9436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.622045699 +9440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.915413888 +9442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.91082549 +9441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.81398659 +9443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.68449739 +9445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 15.61656947 +9446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.854258744 +9448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 15.43323995 +9447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.040413292 +9449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.059426906 +9444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.357436352 +9450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.64162589 +9451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.2358848 +9454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 3.124020052 +9452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.225994375 +9456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.378114996 +9458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 19.22411191 +9457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 15.24078076 +9453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.883245039 +9455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.78570748 +9460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.918169803 +9461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.89788833 +9459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.388161509 +9462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.19392342 +9464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.33582723 +9465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.013858076 +9466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.23341929 +9463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.487205103 +9468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.35333627 +9467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.11119267 +9469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.85651545 +9470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.65307324 +9471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.7968619 +9472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.606891287 +9474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.03440331 +9476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.2857347 +9473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.992354057 +9475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.69017024 +9478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.34333487 +9477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.676025204 +9480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.19110123 +9479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.838845729 +9482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.02608246 +9484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.246811752 +9485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 16.09025551 +9481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.139790114 +9487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.18024451 +9488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.228768681 +9486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.27197421 +9483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.6933451 +9489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.53002366 +9491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.06937815 +9493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.981958326 +9492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.86353293 +9494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.83976557 +9495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.94663453 +9496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.384925754 +9490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.42744058 +9497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.60474972 +9498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.414162379 +9499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.395371106 +9502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.26275085 +9504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.71520806 +9501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.95764109 +9500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.01113258 +9503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.77792275 +9505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.03315555 +9506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.2914947 +9507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.98852824 +9509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.33132455 +9508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.59783786 +9511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.90718683 +9510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.97712425 +9512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.585809236 +9513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 18.00045987 +9514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.56819624 +9515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.11246264 +9517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.86640777 +9516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.7002365 +9518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.44279747 +9519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.413486327 +9522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.03140246 +9521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.65919538 +9520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.68534109 +9524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.628725229 +9523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.941626287 +9525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.19856662 +9527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.10863705 +9526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.0372953 +9528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.576151181 +9529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.532856442 +9530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.596266357 +9531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.014294854 +9532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.64648213 +9533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.70434421 +9534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.752110182 +9536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.241313484 +9535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.7766303 +9537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.71023631 +9539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.26807105 +9540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.269278051 +9541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.143539699 +9542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.053573732 +9545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.871273082 +9538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.111962617 +9544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.851901766 +9543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.37497493 +9546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.64483696 +9547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.125782384 +9548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.144416176 +9549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.77841237 +9550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.474893602 +9553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.83915816 +9551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.981366173 +9552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.950353182 +9554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.66222303 +9555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.543970614 +9557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.47451425 +9556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.91491783 +9558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.733946909 +9560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.97012453 +9559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.737938148 +9562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 15.8589559 +9561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.774922426 +9563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.849313177 +9565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.10513095 +9566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.772816609 +9568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.10431962 +9564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.853898412 +9569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.537388029 +9570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.838066809 +9567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.49553492 +9571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.73334946 +9572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.20356118 +9573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.53349929 +9574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.62199248 +9575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.70756451 +9576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.40531762 +9578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.338735479 +9577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.769063669 +9579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.12914987 +9580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.5171114 +9582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.918605983 +9581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.243495211 +9584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.13928224 +9585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.536325012 +9583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.300187661 +9587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.00346659 +9586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.93880225 +9588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.472393454 +9589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.99820572 +9591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.11548152 +9590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.761169487 +9592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.012611685 +9593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.736075343 +9594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.93367916 +9597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.957019264 +9596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.56276382 +9598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.258698564 +9599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.81085004 +9600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.436455767 +9601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.72447606 +9595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.370785805 +9602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.736781734 +9603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.032022995 +9604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.74536871 +9605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.944850648 +9606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.443051033 +9607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.292027014 +9609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 15.06826921 +9608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.11254637 +9610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.971641132 +9612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.20114335 +9613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.10950715 +9614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 4.91046817 +9611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.58939491 +9615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.12089769 +9616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.274908498 +9617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.504904762 +9618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.107314681 +9619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.26676127 +9621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.06480152 +9620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.587646478 +9622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.328742771 +9623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.48093577 +9624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.53367607 +9625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 3.968007858 +9626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.359749322 +9627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 4.249718837 +9629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.927198506 +9628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.895084774 +9630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.69185248 +9631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.50687006 +9633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.359290769 +9632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.49319374 +9634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.891571123 +9636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.37142345 +9638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.881227825 +9637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.94409065 +9635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.290986206 +9639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.982791972 +9640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.18843315 +9643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.85036391 +9645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.471939748 +9644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.12281709 +9646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.59808427 +9647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.388488155 +9648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.371849164 +9642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.14918487 +9641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.629309578 +9649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.593448357 +9650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.87475698 +9651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.485064085 +9652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.17968642 +9653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.06768051 +9654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.85342692 +9655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.634830845 +9657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.132519488 +9656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.027212802 +9658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.58661666 +9659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.576953914 +9660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.77402161 +9661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.83846369 +9663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.392861658 +9664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.67126209 +9662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.422881886 +9666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 4.753572219 +9665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.05366276 +9667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.48367064 +9668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.691536677 +9670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.871567775 +9669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.565349841 +9671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 3.813992302 +9672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.014144278 +9673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.850883437 +9675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.59877776 +9677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.918703787 +9674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.36847545 +9676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.222070641 +9678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.92242709 +9680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.000021738 +9679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.19302584 +9681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.01770039 +9682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.378072555 +9684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.495089574 +9686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.723589457 +9685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.07184048 +9683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.551238572 +9688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.4631525 +9687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.586176472 +9689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.303379294 +9690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.27867816 +9691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.79281303 +9692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.50036474 +9693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.602185686 +9694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.829675841 +9695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.57823634 +9697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.676104805 +9698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.05412397 +9696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.0990814 +9699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.600207089 +9702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.70017321 +9700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.00733574 +9704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 4.022136601 +9703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.3718158 +9701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.05998597 +9705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.6451476 +9706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.975562471 +9708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.542441021 +9707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.58246031 +9709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 4.54524981 +9711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.6259384 +9712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.14546122 +9710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.271475271 +9713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.521784714 +9714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.915507762 +9715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.506875398 +9716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.419771298 +9717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.250427487 +9718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.963483093 +9720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.99267187 +9719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.838109112 +9721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.47207681 +9723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.084193341 +9724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 3.491466678 +9725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.75814532 +9722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.58520904 +9726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.34463973 +9727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.28665515 +9728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.484112855 +9729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 18.38920526 +9730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.159526504 +9731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.770591038 +9732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.40707136 +9733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.029128023 +9734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.68817521 +9735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.22103872 +9736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.287674075 +9737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.904615429 +9738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.04975522 +9739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.51065706 +9740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 4.682286652 +9742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 15.47754523 +9743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.59684064 +9741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.513675096 +9745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.84605495 +9744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.2392088 +9746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.439137416 +9747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 15.15986666 +9748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.43768053 +9749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.64097159 +9750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 2.921928273 +9752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.00296399 +9751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.94516488 +9753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.52069649 +9754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.181042036 +9755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.029172904 +9756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.899326477 +9757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.97640152 +9758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.572913801 +9759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.1246621 +9761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.8326565 +9760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.51632579 +9762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.08165835 +9763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.859805513 +9764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.795104669 +9767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.099022412 +9765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.352925517 +9766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.25609163 +9768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.319472873 +9769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.400439421 +9771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 16.45276854 +9770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.4655603 +9772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.65457751 +9773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.841953585 +9774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.26158083 +9775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.787023113 +9776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.22661746 +9777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.950068085 +9778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.26323716 +9779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.638111495 +9781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.943900762 +9780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.538112679 +9783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.93850202 +9784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.791207915 +9782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.362855622 +9785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.0459545 +9786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.432701746 +9787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.77041691 +9788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.161654591 +9789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.3805592 +9791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.417836752 +9792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 15.05814656 +9790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.711558577 +9794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.40785873 +9795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.38501015 +9793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 16.98398902 +9797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.33413925 +9796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.13171513 +9798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.54707968 +9800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.887621386 +9799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.227674534 +9801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.70155481 +9802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.865607479 +9804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.17514181 +9803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.43411167 +9805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.28590353 +9806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.251115203 +9808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.406562672 +9807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.640978371 +9809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.374829034 +9810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.97199748 +9811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.718062669 +9813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 4.571892793 +9812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.84970136 +9814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.28043166 +9816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.03060226 +9815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.067466954 +9818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.402104625 +9817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.069944492 +9819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.51232706 +9820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.885946953 +9822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.33456868 +9823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.490574996 +9821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.64388403 +9824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.15141232 +9825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.15592182 +9826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.74928706 +9828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.984174917 +9829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.346323804 +9827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.623634534 +9830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.43209153 +9831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.15286086 +9832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.298394637 +9833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.00175905 +9834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.94260656 +9835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.12458614 +9836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.03474026 +9837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.5034666 +9838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.384046834 +9840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.167151608 +9839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.371834553 +9841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.49585186 +9842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.52414301 +9843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.91999511 +9844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.05501491 +9845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 4.21598109 +9846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.16374007 +9847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.988365192 +9848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.7414677 +9850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.909278837 +9849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.22842754 +9853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.298156591 +9852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.51589297 +9851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.626243011 +9854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.18928125 +9855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 4.865858903 +9858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.866322207 +9860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.738432124 +9859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 15.26375045 +9856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.144126866 +9861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.9506731 +9862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.862366491 +9857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.830624457 +9865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.029053962 +9863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.172659887 +9866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.16795315 +9868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.36363693 +9869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 16.60568714 +9870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.488230613 +9864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.555808557 +9867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 15.84889716 +9871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.56353842 +9872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.43435678 +9873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.16655584 +9874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.31930804 +9876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.38625867 +9877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.13074605 +9878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.199601892 +9875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.88065571 +9879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.217811592 +9881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.72375799 +9880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.717606148 +9882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.27705471 +9884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.674365974 +9883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.67281827 +9886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.66399144 +9885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.21273039 +9889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.697593778 +9890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.58914551 +9888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.015011134 +9891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.401219716 +9887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.952794093 +9892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.850836203 +9893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.7176387 +9897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.381786834 +9895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.721959561 +9898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.020683851 +9894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.0320187 +9896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.248958491 +9899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 4.045772337 +9900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.09076269 +9901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.32618381 +9906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.094019387 +9905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.397262515 +9902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.018426064 +9903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.40843402 +9907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.508906548 +9908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.632974723 +9909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.38237023 +9904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.161741875 +9910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 4.064839449 +9913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.03994994 +9912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.07991289 +9914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.85264458 +9915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.169648151 +9917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.73666389 +9911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.44017629 +9916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.91514514 +9918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.637023886 +9919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.21788834 +9921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.7332867 +9922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.270026359 +9923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.048899429 +9920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.78893945 +9925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 4.719289868 +9924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.291462863 +9926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.467500533 +9927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 18.3989966 +9928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.836241671 +9929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 17.05348758 +9930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.503212246 +9931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.104260826 +9932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.52904624 +9935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.32681804 +9933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.42293847 +9936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.775023608 +9934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.215164541 +9939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.79802262 +9938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.410645466 +9937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.05171351 +9940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.81127354 +9943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.126322259 +9941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 4.724177792 +9942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.587049415 +9944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.609169065 +9946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.96920908 +9945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.81346526 +9947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.38077143 +9948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.88505207 +9949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.21340083 +9950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.67405664 +9952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.837902266 +9951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.409661851 +9953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.125223472 +9954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.19447723 +9955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.09089376 +9956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 17.11395466 +9957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.012683136 +9958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.16742314 +9959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.37021653 +9960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.13813433 +9962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.088012345 +9961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.0801279 +9963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.653538224 +9964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.67869131 +9965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.36376202 +9967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.870024961 +9966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.25005772 +9968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 16.02921309 +9969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.73488663 +9971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.06106908 +9970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.75222568 +9972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.630881163 +9973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.04808944 +9974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.919299174 +9975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.68502576 +9977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.99897429 +9979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.976299892 +9978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.610464797 +9976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 16.51198073 +9980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 14.49384105 +9981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.89840311 +9982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 5.237531764 +9983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.55676491 +9984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 8.234135288 +9986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.08905236 +9985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.0517045 +9988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.66605416 +9987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.40107429 +9989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.40863748 +9990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.92950553 +9992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 11.18952289 +9991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 3.127884927 +9993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 10.77609322 +9994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.525633702 +9995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.149367132 +9996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 13.13365049 +9997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 12.94668479 +9998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 7.653759375 +9999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 6.61896898 +10000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 9.797274271 +10001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.66254952 +10002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.357816795 +10003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.49995713 +10004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.98332651 +10006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.32311202 +10005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.30212032 +10007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.66720244 +10008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 4.625297589 +10009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.991911073 +10010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.393126671 +10013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.163429627 +10014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 14.19437798 +10011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.333530867 +10012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 15.36205882 +10015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.086430931 +10016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.429111817 +10017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.918688415 +10018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.300778248 +10021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.677167524 +10019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.924289208 +10020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.043281197 +10024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.92721043 +10022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.02223141 +10023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.277248342 +10025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.34249655 +10026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.280193155 +10028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.62078008 +10027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.957956002 +10029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.48771046 +10031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.25313063 +10032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.058475175 +10030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.43548924 +10033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.365869828 +10034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.033801803 +10036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.313814662 +10037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.00740836 +10038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.68906471 +10035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.46345339 +10040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.866986266 +10041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.605235645 +10042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.87744181 +10043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.05403667 +10039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.48279132 +10044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.162419834 +10045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.634765413 +10046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.70206469 +10048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.979471401 +10049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.439616758 +10047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 14.98182233 +10050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.659491158 +10052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.96168419 +10054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.360019781 +10051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.233855959 +10053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.200104414 +10055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.661254647 +10056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.70992802 +10058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.65963928 +10057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.696206719 +10059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.95982898 +10062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.863065193 +10061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.15344694 +10060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.73456006 +10063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.116022845 +10064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.63319788 +10066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.929688436 +10067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.112053668 +10065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.08841428 +10068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.3040737 +10070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 15.1514139 +10072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.86156035 +10069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.666474724 +10073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.753078936 +10074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.419351031 +10075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.828871597 +10071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.504755774 +10076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.989496163 +10077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.787413857 +10078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.815784356 +10080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.658080755 +10079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.34571041 +10081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.910934103 +10082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.082863455 +10083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.550953784 +10084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.649835637 +10085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.472305306 +10086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.14151703 +10087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.79186542 +10090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.037236374 +10089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.2294098 +10091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.819587595 +10088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 3.484730211 +10092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 14.45684224 +10093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.19377243 +10094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.131354599 +10095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.73636882 +10097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.495895563 +10098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.82924746 +10096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.31611889 +10099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.09673153 +10100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.570578118 +10102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.20193394 +10101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.793871926 +10103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 15.25204187 +10105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.978274129 +10106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.587430311 +10104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.599955996 +10108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.362848016 +10110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.7392173 +10109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.75305649 +10107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.37237888 +10112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.55703555 +10111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.22241672 +10113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.66596893 +10114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.600843098 +10115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.27435494 +10117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.195448536 +10119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.469517535 +10120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.35193564 +10116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.574404386 +10118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.41729939 +10121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.81029174 +10122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.129498087 +10123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.05307011 +10124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.5676321 +10126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.05898538 +10127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.792175879 +10125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.77658543 +10129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.855305 +10130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.709532691 +10128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.55417795 +10131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.014068825 +10132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.712207842 +10134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.39947458 +10133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.267328925 +10135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 14.23078088 +10136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.25663762 +10137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.445622136 +10139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.29349046 +10138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.358838734 +10141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.923848106 +10140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.750971067 +10142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.78214928 +10143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.760862442 +10144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.971124567 +10145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.531939259 +10146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.29676261 +10148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.56081806 +10151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.415343466 +10149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.86911223 +10150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 14.42340128 +10147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.017248825 +10152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.286773631 +10153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.03606227 +10154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.06425416 +10155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.887032042 +10156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.373395665 +10158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.58826192 +10157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.945777772 +10159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.821259457 +10160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.205001777 +10161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.984385984 +10162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.960811514 +10163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.20783685 +10165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.988448805 +10166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.35110913 +10164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.17415126 +10168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.981143248 +10167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.782034452 +10169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.719004122 +10170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.655574779 +10171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.470110897 +10172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.250028816 +10173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.15422275 +10174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.953818409 +10175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.05228634 +10177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.002870085 +10176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.52823965 +10178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.343778288 +10180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.07147468 +10179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.94655583 +10181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.27747369 +10182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.690380349 +10184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.14883767 +10183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.85478607 +10185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.83275587 +10186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.20429223 +10187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 14.04312499 +10188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.36624812 +10189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.28032202 +10190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.493051626 +10191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.26164781 +10192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.699803773 +10194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.01741286 +10196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.369930341 +10195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 3.393967525 +10193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.957302754 +10197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.62616199 +10198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.0543725 +10199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.75593034 +10200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.34083918 +10201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.480585829 +10202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.403437562 +10203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.991361404 +10205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.89877717 +10204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.6305245 +10206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.66985906 +10208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.12092409 +10207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 15.5989873 +10209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.875809886 +10210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.48020113 +10211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.32272374 +10212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.170367015 +10214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.56935234 +10213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.704978496 +10215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.132246595 +10216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.596767473 +10217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 14.66335188 +10218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.01240387 +10219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.90874189 +10220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.81827513 +10221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.304215547 +10222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.193582748 +10223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.71589248 +10224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.40357819 +10226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.391301772 +10225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.27032785 +10228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.988822316 +10227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.522793767 +10229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.84871772 +10230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.116556685 +10232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.56870293 +10231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.28744503 +10234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 17.23928752 +10233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.375892129 +10236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.954539113 +10235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.43369212 +10237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.144340234 +10238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.19312007 +10239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.317449061 +10240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.874546221 +10241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.599364292 +10242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.92636372 +10244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.608915395 +10243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.92812635 +10245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 3.855436521 +10247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.12647505 +10248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.25326444 +10249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 14.27807671 +10250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.028752547 +10246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.589982318 +10252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.767347001 +10251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.449070768 +10253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.89914517 +10254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.01998237 +10255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.779952429 +10256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.23948546 +10257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.344463915 +10258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.854485993 +10259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.13179512 +10260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.437473257 +10261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.47080267 +10262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.933439803 +10263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.77785673 +10264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.27010386 +10265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.92937583 +10267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.474685456 +10268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.91973588 +10269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.483127465 +10266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.94433582 +10270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.5369054 +10272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.58032707 +10271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.064676215 +10273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.945978609 +10274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.78610707 +10275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.016726944 +10276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.743283641 +10278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.401897217 +10277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.00969531 +10279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.757538482 +10280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.19859691 +10281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.163149973 +10282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.83203014 +10283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 14.05370158 +10284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.960831047 +10285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.553975557 +10286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.721076503 +10287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.32489782 +10288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.414522847 +10289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.956313169 +10291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.33377714 +10290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 15.33630677 +10292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.13920035 +10293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.13786066 +10295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.915601739 +10296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.309022792 +10294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.711281319 +10297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.25390503 +10298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.114718751 +10299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.99622375 +10300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.72407185 +10301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.19640184 +10302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.39622883 +10303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.039842699 +10305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.14051864 +10307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.49850678 +10306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.26619383 +10308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 14.68164789 +10304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 15.44885665 +10309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.482935699 +10310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.288629113 +10311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.908331403 +10313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 14.37510374 +10314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.68989258 +10312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.092679853 +10315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.096513995 +10317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.36635316 +10316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 15.56558932 +10318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.561811717 +10319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.561369884 +10320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.988104364 +10322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.48744361 +10321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.2905431 +10323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.03368212 +10324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.68076545 +10326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.574234368 +10327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.962655456 +10325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.42717341 +10328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.42615131 +10330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.219428954 +10331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.064290609 +10329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.1910962 +10332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.37688334 +10333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.133558915 +10334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.74960905 +10335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.25333762 +10338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.11015447 +10337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.321244605 +10336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.183197367 +10339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.858575436 +10340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.722422281 +10341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.700784979 +10342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.778250377 +10345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.943860189 +10344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.31491852 +10346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.255687298 +10348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.3619859 +10347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.306761229 +10349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.16018433 +10343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.37026767 +10350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.302078044 +10351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.03259557 +10353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.984537273 +10352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.429496124 +10354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 14.29342878 +10355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.37453419 +10356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.28601728 +10358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.792031158 +10357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.69152171 +10359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.986307991 +10360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.630207399 +10361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.6872507 +10362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.309159471 +10363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.46678391 +10364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.990153661 +10365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.937895959 +10366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 19.00147911 +10367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.65434823 +10368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.696832359 +10369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.15134774 +10372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.063244819 +10370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.90357712 +10371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.59994104 +10373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 14.02452023 +10374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.422643705 +10375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.856340601 +10378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 4.736652133 +10377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 14.03818683 +10380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.809883048 +10379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.035263351 +10376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.8031648 +10381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.15186975 +10383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.932157485 +10384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.145938083 +10385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.436600228 +10386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 17.82505106 +10387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.494203191 +10388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.03716357 +10389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.72553003 +10382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.62697489 +10390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.601568283 +10391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.976392766 +10392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.589108583 +10393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.13911097 +10394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.199872578 +10395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.307666835 +10396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.082949407 +10397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.903526879 +10401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.373504938 +10399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.668464727 +10402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.89871086 +10400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.55272752 +10398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.36525799 +10403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.01509283 +10404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.752354433 +10407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.121091856 +10406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.548770855 +10408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.039433068 +10409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.471642061 +10410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.34944293 +10405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.64517703 +10411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.02956713 +10412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.218351865 +10413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.957520926 +10414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.369473977 +10415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.38556733 +10417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.10412175 +10418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.962736559 +10419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.451749757 +10416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.244262313 +10420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 14.56464467 +10422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.562555287 +10421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.55477499 +10423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 4.311486078 +10424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.34397155 +10425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.405421629 +10426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.655135252 +10427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.073661439 +10428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.32089726 +10429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.40093017 +10430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.21952809 +10431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.134934351 +10432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.410215278 +10435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.903563014 +10434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.70712104 +10436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.60491661 +10433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.71062429 +10438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.420419099 +10440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.438638107 +10437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 4.440460956 +10439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.98689155 +10442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.37819772 +10441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.772676921 +10444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.73383684 +10443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.172456368 +10445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 4.663065467 +10447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.809450634 +10448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.91711181 +10449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 16.8737992 +10446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.574673338 +10450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.915349206 +10452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.991251059 +10453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.30677901 +10451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.93779021 +10454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.953526073 +10457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.927393403 +10456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.10696713 +10455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.852573893 +10459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.33976642 +10458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 14.07746107 +10460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.28010222 +10461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.423342409 +10462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.772069971 +10463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.188171924 +10465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.134098282 +10464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.783960024 +10467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.50643693 +10466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.10675088 +10468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.76367057 +10470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.69141903 +10469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 14.06067068 +10472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.52201721 +10473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 4.5275778 +10471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.40188067 +10474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.966931073 +10476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.27094068 +10475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.66041205 +10477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.019900733 +10478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.43184721 +10480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.97759562 +10481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.416781717 +10479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.32490228 +10484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 4.41402207 +10485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.608298791 +10482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.66243615 +10486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.60477784 +10487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 4.476077418 +10488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.415132884 +10483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.723984206 +10489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.632436638 +10490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.492566111 +10492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.288430891 +10491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.91810892 +10495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.76866898 +10493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.68894131 +10496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.60466578 +10498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.843738192 +10494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.55798997 +10497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.53999579 +10500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.66153592 +10499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.156305018 +10501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.684463617 +10502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.26145774 +10503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.48302141 +10504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.320510252 +10505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.85177978 +10507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.532164028 +10506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.032377777 +10508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.765763665 +10509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.887065997 +10510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.544740565 +10513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.37456274 +10512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.24321985 +10511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.94863164 +10515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.138200008 +10514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.36296318 +10516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.720920925 +10517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.527240856 +10518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.931055711 +10520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.877191456 +10519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 14.13684691 +10523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.47388436 +10522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.591107913 +10521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.490193497 +10524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.668833175 +10525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.61887943 +10527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.468950898 +10530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.31920994 +10526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.313156071 +10529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.466904847 +10528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.678083116 +10532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.88725161 +10531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.90198247 +10534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 14.33169306 +10537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.14754413 +10538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.233392585 +10535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.689620792 +10536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.559583017 +10533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.618725942 +10539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.176970743 +10540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.370814896 +10541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 14.39660767 +10543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.655213393 +10542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.037171473 +10544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.40929155 +10546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 15.60775023 +10547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.958056305 +10545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.610586982 +10551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.546231506 +10549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.451336359 +10552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.94789273 +10550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.225456726 +10553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.04879889 +10555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.963404327 +10548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.19239736 +10554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.093050841 +10556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.33451383 +10557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.924856716 +10559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.181693739 +10560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.716293039 +10558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.65767592 +10561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.556257545 +10563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.041422455 +10562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.269543475 +10565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.22235054 +10566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.50692299 +10564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.84030806 +10569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.35607674 +10567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.57938782 +10570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.27559219 +10568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.83104839 +10571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.882556109 +10572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.31954752 +10574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.963678681 +10573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 19.73370003 +10576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.81179427 +10575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.79732712 +10577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.825186193 +10578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.11103652 +10580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.487717332 +10582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.455473428 +10581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.424590038 +10579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.151646623 +10583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.982869508 +10584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 14.41547421 +10585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.94849975 +10586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.616043397 +10587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.235601819 +10588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.720766546 +10590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.75419239 +10589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.095173853 +10592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.19757349 +10591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.52135501 +10593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.750432179 +10595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.64447745 +10596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.47937819 +10594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.467344745 +10598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.417347109 +10600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.439793414 +10597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.8062471 +10599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.73314249 +10601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.21544622 +10603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.414435275 +10604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.44097523 +10605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.42126337 +10602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 15.63682477 +10608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.259814545 +10606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.188396588 +10607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.61034961 +10609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.707025215 +10610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.622294137 +10611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 4.495430196 +10613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.531689277 +10612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 3.609619365 +10615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.845377711 +10614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 14.05781597 +10618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.44644678 +10617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.97039254 +10620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.571313889 +10619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.731241183 +10621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.804525797 +10616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.875860117 +10622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.532190879 +10624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.03128136 +10626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.241946985 +10623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.881537281 +10627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.18229225 +10625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.778585148 +10628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.634845554 +10629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.848964771 +10630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.921332383 +10631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.962485812 +10632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.15575215 +10633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.02975321 +10634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 14.86132801 +10636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.36462906 +10635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.400316607 +10638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.7864006 +10639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 14.66075975 +10640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.307907583 +10641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.097200714 +10643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 16.14393796 +10642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.911069961 +10644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.48060236 +10637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.672121108 +10646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.31742768 +10645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.80229446 +10647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.53680445 +10650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.42981231 +10648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.51778609 +10649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.34560402 +10651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.91531478 +10652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.70713477 +10653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.618827019 +10655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.58594134 +10654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 14.25526636 +10657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 2.954827844 +10658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.469968419 +10656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.69696868 +10659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.61365716 +10661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.416881526 +10662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.224825309 +10663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.404083491 +10664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.681261868 +10666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.486200158 +10660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.72298928 +10665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.475714844 +10667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.466250086 +10668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.74698167 +10669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.63389167 +10670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.63596802 +10671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.694025164 +10673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.353191429 +10674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 14.55572426 +10672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.957296531 +10675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.940124203 +10677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.04268116 +10676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.839509101 +10678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.7175215 +10679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.11359205 +10680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.26643399 +10682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.88134328 +10681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.028548151 +10683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 4.207634485 +10684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.754853746 +10686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.197185396 +10687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.836705952 +10685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.380001303 +10688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.72511007 +10689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.58430972 +10691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.113006325 +10690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.106002267 +10692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 4.398666917 +10693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.5752818 +10694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.07866842 +10696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.66329753 +10695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.110774003 +10697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.726100111 +10698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 14.15630832 +10700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.839055457 +10699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.406680953 +10701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.681640299 +10702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.23770378 +10703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.79891392 +10704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.53062664 +10705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.22049047 +10706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.65454287 +10707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.76151325 +10710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 4.654960855 +10711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.24015851 +10712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.46907103 +10709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.072458566 +10708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.24947626 +10714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.42788401 +10713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.517699407 +10715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.68447202 +10717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.46322687 +10716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 14.54576699 +10718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.590369305 +10719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.59599178 +10720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.067644454 +10722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.685600907 +10721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.585440784 +10723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.97212677 +10725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.217469182 +10726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.33443935 +10724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.44109049 +10727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.24716347 +10729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.212906311 +10728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.155868839 +10730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.015774697 +10732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.203063599 +10731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.56297459 +10733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.733543865 +10735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.702390321 +10734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.17074118 +10736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.84880458 +10738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.122333004 +10740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.793604053 +10742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.9617522 +10739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.16336434 +10741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.74375102 +10737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 16.91015051 +10743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.001784004 +10745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.076528307 +10744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.32161696 +10749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.412231439 +10746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.224896022 +10747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.69073083 +10748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.962669103 +10751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.304068054 +10750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.34835529 +10753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.8562529 +10754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.903879631 +10755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.52459394 +10752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.18452267 +10757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.27791232 +10756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.26889968 +10758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.790575105 +10759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.208108856 +10760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.34466129 +10761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.02782405 +10763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.300301253 +10762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.976815017 +10764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.50429445 +10765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.01447595 +10766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.94989842 +10767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 15.86735683 +10770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.45254711 +10771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.679296416 +10772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.886724367 +10769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.223379965 +10773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.9711268 +10774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.973845128 +10768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.93689565 +10775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.92569297 +10776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.948043153 +10778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.095261569 +10777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.60751784 +10779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.33868481 +10780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.092967707 +10781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.712430929 +10782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.978355444 +10783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.69120053 +10784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.442850806 +10785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.500692015 +10788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.39099248 +10787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.433306908 +10786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.917950431 +10789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.771880475 +10790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.889544551 +10793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.04366135 +10792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.799888971 +10794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.75122337 +10791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.46037126 +10795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.902812107 +10796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.806537463 +10797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.581887829 +10798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.645744075 +10799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.107406718 +10800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.127018202 +10801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.32105124 +10802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.33451443 +10803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.970181037 +10804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 4.798793509 +10805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.045409883 +10806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.69316174 +10808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.16825163 +10807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.39885273 +10809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.125379869 +10811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.399852388 +10810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.695427835 +10812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.53969535 +10813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.315370616 +10815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.54009514 +10816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.41202548 +10817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.756034861 +10814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 3.135501293 +10818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.18459127 +10820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.470221488 +10819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 4.071624618 +10821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.1413685 +10823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.0565759 +10822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.13887331 +10824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 14.71624262 +10825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.24582751 +10826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.686449052 +10827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.59602143 +10829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.466528177 +10828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.27166896 +10830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 14.01940049 +10831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.43794788 +10832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.812355256 +10833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.58934791 +10834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.1323061 +10835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.51439826 +10836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.810072993 +10838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.785455 +10839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.23945369 +10840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.821361076 +10842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.50272545 +10837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.294719641 +10841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.6931866 +10844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.380863192 +10843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.844399651 +10846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.03582156 +10847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.60660264 +10845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.385301468 +10848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 17.1486278 +10849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 16.24481248 +10851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.389727334 +10850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.94308746 +10853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.933746213 +10854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.805348872 +10855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.383042012 +10852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.26139338 +10856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.706550149 +10857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.956713284 +10858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.756999168 +10860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.647729908 +10861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.078748063 +10862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 14.52086413 +10863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.372343283 +10864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.617996453 +10859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.92458544 +10866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.25048075 +10867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.223882075 +10865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.262901848 +10868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.47058225 +10870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 14.37412094 +10871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.58902729 +10872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.847866455 +10869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.652729292 +10874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.505599624 +10876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.248341876 +10873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.01351384 +10877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.671829388 +10878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.871537545 +10879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.13610272 +10880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.49040543 +10875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.585505663 +10881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.73385208 +10883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.582241211 +10882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 16.19484137 +10884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.047890015 +10885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.03212667 +10886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 14.88042721 +10887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.934415046 +10889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.40816368 +10890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.122252229 +10891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.13391854 +10888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.76839964 +10892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.629825307 +10893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.00315179 +10894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.012085992 +10896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.97173263 +10895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.592915588 +10897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.654649379 +10898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.94702774 +10901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.311435928 +10900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.84642795 +10899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.665422594 +10902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.9425031 +10903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.518649906 +10904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.517638678 +10906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.206955944 +10907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.84288624 +10908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.356952892 +10905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.42903595 +10910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.51179082 +10909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.182477656 +10911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.193046825 +10912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.300174306 +10915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.566889135 +10913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.3522737 +10914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.78930424 +10916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.4489072 +10917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.11640157 +10918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.91314653 +10920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.633731636 +10919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.0175416 +10923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.07172383 +10922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.999514889 +10921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.3665974 +10924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.446244337 +10925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.958829658 +10928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.666761343 +10926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.35602348 +10927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.681210859 +10931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.546679073 +10929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.964739472 +10930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.05332384 +10932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.10096045 +10933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.703984843 +10935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.666142935 +10936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 4.470976055 +10938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.96736141 +10939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.378072763 +10934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.371874702 +10940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.82729255 +10941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.054242469 +10937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.48599587 +10942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.985932921 +10944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.13542301 +10945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.761286784 +10946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.188760951 +10943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.774633991 +10948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.864960643 +10947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.63034029 +10949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.1853836 +10950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.66223844 +10953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.382618939 +10951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.449338589 +10954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.92301231 +10956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.808402105 +10952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.74018039 +10957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.80285115 +10955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.48189978 +10958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.46191379 +10959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.920178146 +10960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.945396855 +10962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.54194062 +10963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.83529643 +10961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.60558519 +10964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.606563511 +10965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.63235305 +10967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.127259895 +10968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.18555703 +10966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.61147637 +10969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.65109371 +10973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.29368357 +10972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.757666158 +10971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.863898042 +10970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.854668904 +10974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.91466794 +10975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.84170767 +10977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.99080693 +10978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.69100029 +10976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.746792877 +10980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.08349003 +10979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.15741247 +10981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.501662508 +10983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.635910487 +10982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.768894577 +10984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.17134075 +10985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.26990035 +10986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 11.39654805 +10988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.98047956 +10989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.705140651 +10987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.104140871 +10991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 8.79941973 +10992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 12.05874143 +10990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.338525409 +10994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.862251413 +10993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.041904179 +10996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 10.0476426 +10995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 7.234128335 +10998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 4.250684641 +10997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 13.1449989 +11000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 5.425613696 +10999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 9.821002632 +11002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.740079271 +11001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.630796397 +11003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.62923011 +11004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.501734372 +11005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.185267603 +11007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.0458221 +11006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.83447979 +11008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.190596675 +11009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.660857761 +11010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.083565334 +11011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.578369599 +11012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.20850306 +11013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.577057658 +11014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.917001728 +11016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.606670366 +11015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.125342815 +11017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.476621083 +11018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.344782795 +11019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.530912428 +11022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.230197543 +11020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.68687653 +11021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.626378172 +11023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.08256211 +11024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.2282363 +11025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.690020825 +11026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.420487847 +11029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.266455677 +11027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.828033472 +11030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.54990306 +11028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.516990289 +11031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.939881865 +11034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.74503 +11032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.26836471 +11033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.383203098 +11035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.41427664 +11036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.31351578 +11037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.587104866 +11038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.74995453 +11039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.507634312 +11040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.65286559 +11041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 14.68504334 +11042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.080090053 +11044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.494623844 +11043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.82136662 +11046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.69890978 +11045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.487154402 +11047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.162477504 +11048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.846338328 +11050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.02418388 +11052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.174333188 +11049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 4.96515538 +11054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.497281978 +11053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.056394744 +11051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.62183072 +11055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.806346784 +11056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 2.547006366 +11057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.59513851 +11059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.77335419 +11061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.81848905 +11058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.65672145 +11062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 14.44624893 +11063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.12241131 +11064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.59632866 +11060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.77129035 +11065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.42894458 +11067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.792674794 +11069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.624117963 +11066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.896775956 +11068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 3.705338995 +11070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 15.47338809 +11071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 15.03491112 +11072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.656335843 +11073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.247627724 +11074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.91722881 +11075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.434527373 +11076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.034261016 +11078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.35474853 +11079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.874570552 +11077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.44257776 +11080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.71704019 +11081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.788391246 +11082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.736251544 +11083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.49791114 +11085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.88669589 +11084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.19093102 +11086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.84359311 +11087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.812736769 +11088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.712161243 +11089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.938710067 +11091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.754507998 +11092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.90756231 +11090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.848236339 +11094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.36079246 +11093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.473515605 +11095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.948881255 +11096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.763667874 +11098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.11977211 +11097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.77697311 +11099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.51698515 +11101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.356516019 +11100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.508901914 +11103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.752975927 +11102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.324069639 +11104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 4.287596216 +11106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.53186208 +11105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.74906201 +11109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.956003952 +11107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.693552343 +11108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.02141317 +11110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.496889882 +11112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 14.08828853 +11111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.191506725 +11114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.801198121 +11115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.4447579 +11117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.59929179 +11116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.174275593 +11118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.82760517 +11119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.310181357 +11113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.454886037 +11120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.230077444 +11123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.809456966 +11124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.44383005 +11122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.868360831 +11125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.878490589 +11126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.541653121 +11127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.19353465 +11121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.44039132 +11129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.159219075 +11130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.60327611 +11131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.189825578 +11132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.790327294 +11133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.70298804 +11134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.962976426 +11135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.94865738 +11128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.17468958 +11136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 3.564914622 +11138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.35692977 +11139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.45193574 +11140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.37947125 +11142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.684095009 +11143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.63401681 +11141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.26061624 +11137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.863857545 +11144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.80141933 +11145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.491057525 +11146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.085234947 +11147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.585550789 +11148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.53586534 +11150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.734679229 +11151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.533170853 +11152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.846242284 +11153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.088462286 +11154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 16.03002257 +11149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.46942473 +11156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.337569065 +11155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.033925815 +11158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.71486467 +11159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.65349073 +11160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 3.031505888 +11157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.344166613 +11161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.01814611 +11162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.83161932 +11163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.503020516 +11164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.966208578 +11165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.27798742 +11166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.678616192 +11167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.215913762 +11168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.52040325 +11169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.160519315 +11171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.0837486 +11174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.605491721 +11173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.0230058 +11175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.637567435 +11172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.936563707 +11176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.385357468 +11170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.797142679 +11177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 4.437826379 +11178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.490022264 +11179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.439475859 +11180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.644703583 +11182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.7762047 +11181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.72692618 +11185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 3.323376101 +11184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.285184571 +11183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.098474368 +11186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.92569059 +11187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.93124627 +11190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.642892555 +11188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.979401385 +11191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.865457519 +11189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.28045978 +11192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 14.63207678 +11193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.39364584 +11194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.80033823 +11195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.91877776 +11196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.028106473 +11197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.165945193 +11198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.40387595 +11199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.163860454 +11201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.16743857 +11200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.10046824 +11202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 4.238704915 +11204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.52498743 +11203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.418099238 +11206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.813382788 +11205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.65374098 +11208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.33459147 +11207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 14.02243698 +11209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.73902845 +11210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.200177035 +11211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.707514672 +11212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.26747354 +11213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.8130481 +11216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.613671114 +11215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.292109302 +11214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.55570554 +11217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 14.12532763 +11219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.63396549 +11218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.720120318 +11221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.191084608 +11220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.676758538 +11223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.46406475 +11222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.749841125 +11224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.521119683 +11226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.98487678 +11225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.687454847 +11227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.496941036 +11228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.256544508 +11229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 16.0743166 +11230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.44118805 +11231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.891105191 +11232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.51325663 +11233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.91480127 +11235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.3358373 +11234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.274060324 +11236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.95149092 +11237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.293783607 +11239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.68737578 +11238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.385135013 +11240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.674145875 +11241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.693357874 +11242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.7913272 +11244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.070027262 +11245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.28319795 +11246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.151677858 +11243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.511873891 +11247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.010556639 +11248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.572463357 +11249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.549495925 +11250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.107000423 +11251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.14699841 +11252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.44611374 +11253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.618455204 +11255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.78809577 +11256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.85797097 +11254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.974374145 +11257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.205367184 +11258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.130513769 +11259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.64041871 +11260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.5041299 +11261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.23226795 +11262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.143408353 +11263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.02300378 +11264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 4.013082198 +11265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.72271436 +11266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.173735727 +11267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 15.26129441 +11269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.138739722 +11268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 4.811960851 +11270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.644148545 +11271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.97379172 +11273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.866452375 +11274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.812476699 +11272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.347525139 +11275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 14.23509825 +11276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.885451614 +11277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.33361855 +11278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.230944591 +11279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.13933958 +11280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.09301519 +11281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.40079477 +11283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.730470061 +11282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.88268127 +11284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.55313204 +11285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 3.431597999 +11286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.36167163 +11287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.672515585 +11288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.216906526 +11289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.840871415 +11290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.51395671 +11292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 14.04849408 +11293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.27993389 +11294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.40817704 +11291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.704490909 +11296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 14.81951167 +11295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.211457295 +11297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.42891313 +11298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.8849021 +11299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.66544241 +11300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.12293494 +11301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.96371494 +11302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.419644414 +11304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.903131541 +11303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.68635423 +11305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.37768285 +11306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.76948839 +11307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.91850025 +11308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.625423476 +11309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.862061676 +11311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.09885756 +11313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 16.29087859 +11312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.15427649 +11314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.34417884 +11310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.73771192 +11315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.391394745 +11316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.4763333 +11317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.208379583 +11320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.45986337 +11318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.945743101 +11319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.54702978 +11321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.19638326 +11324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.83695923 +11322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.27664549 +11323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.44958875 +11325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.40535908 +11326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.491020264 +11327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.51736048 +11329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.004908238 +11328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.00968284 +11330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.200087224 +11331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.590032327 +11332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.816840245 +11333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.65923769 +11335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.418809332 +11336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.505970384 +11334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.099326746 +11337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.33434023 +11338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.11923786 +11339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.946886957 +11340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 14.3283529 +11341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.611155652 +11342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.900320167 +11343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.88124025 +11344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.310701873 +11345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 4.72616855 +11346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.931814108 +11349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.98636144 +11348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.762017511 +11347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 14.36499686 +11351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.992368354 +11352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.075997014 +11353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.969424136 +11350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.17653372 +11354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.5215536 +11355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.064107193 +11356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.077037475 +11357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.69316639 +11358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.96890715 +11359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.52001985 +11360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.47302268 +11361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.24898211 +11362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.27293384 +11363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.59195918 +11364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.936693654 +11367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.414561471 +11366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.308445093 +11369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.868625299 +11368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.05698202 +11370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.426310426 +11365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.62056653 +11372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 2.910808461 +11371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.360273569 +11374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.185485683 +11375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.465533652 +11373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.17130615 +11376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.140220263 +11378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.66138847 +11377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.084054849 +11380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.54368194 +11379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.2920518 +11381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.23734379 +11382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.583986073 +11383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.69078545 +11384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.58026396 +11386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 4.003777668 +11387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.86461472 +11388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.309573158 +11389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.790283082 +11385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.005787489 +11391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.95000897 +11390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.90226052 +11392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.572469774 +11393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.02128529 +11394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.69599612 +11395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.538174887 +11396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.904869871 +11399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.68834139 +11398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.48601439 +11400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.953945952 +11397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.841382133 +11401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.839866679 +11402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.86342185 +11403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.302999621 +11404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.373939648 +11405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.64185007 +11407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.46304272 +11406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.35174609 +11409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.10150213 +11408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.959061085 +11411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.274580981 +11410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.971068481 +11414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.277593845 +11415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.881678979 +11412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.00961104 +11413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.7855099 +11416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.359887385 +11417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.43100926 +11418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.265530494 +11419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.97291532 +11422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.748087632 +11420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.043780108 +11421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.562227469 +11423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.205531739 +11424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.6472544 +11426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.914077419 +11427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.99265619 +11430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.83618616 +11428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.31996122 +11429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.62811513 +11431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.254195094 +11425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.588472129 +11432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 15.06833166 +11433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.495537921 +11434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.153362479 +11435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.792422986 +11436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.965308792 +11437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.85987222 +11438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.726682045 +11439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.155962867 +11440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.78215924 +11441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.513882 +11443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.54988995 +11442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.12454749 +11444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.410745531 +11445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.103705799 +11446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.96806593 +11448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.35136573 +11447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.69147779 +11449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.719029649 +11452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.139466285 +11450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.919277348 +11451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.62866861 +11453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 3.898103417 +11454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.19149967 +11455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.296896017 +11456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.989493794 +11458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.957078242 +11457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.30156687 +11459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.120906137 +11461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.937780992 +11460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.24860381 +11462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.878418329 +11463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.652819275 +11465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.460501556 +11466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.969595466 +11467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.272629267 +11469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 3.276087789 +11468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.72680742 +11464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.794568907 +11470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.67109731 +11471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 4.495141699 +11472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.5856668 +11473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.62263108 +11474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 4.485690074 +11475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.562475514 +11476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.421287941 +11477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.476012099 +11479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.53196584 +11480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 17.58336896 +11482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.23927124 +11478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.939031364 +11483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.033364448 +11481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.804229397 +11484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.89472509 +11485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.053209424 +11487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 4.792668487 +11488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.587340506 +11489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.632499839 +11491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.771210315 +11490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.485719437 +11486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.122718623 +11492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.394826011 +11493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.157491921 +11495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.275172093 +11494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.60784615 +11498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.232630435 +11497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.196725143 +11496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.257319626 +11500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.930096273 +11501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.03170917 +11502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.95268639 +11503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.495306257 +11505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.05664312 +11499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.81235209 +11506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.582587291 +11504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.391739308 +11508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.71897681 +11507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.99341762 +11510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.984571483 +11509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.134459005 +11512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.851663435 +11513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.772967353 +11511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.203574247 +11514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.748223456 +11515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.916143543 +11516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.700844179 +11518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.934498654 +11517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.120226825 +11520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.24890207 +11519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.074122264 +11521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.7667451 +11522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.80501335 +11523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.64407466 +11524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.77007411 +11525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.15520587 +11526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.405019221 +11527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.302737486 +11529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.469848965 +11530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.633393706 +11528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.4930759 +11531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 14.10329626 +11532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.35969751 +11533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.543622372 +11534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 16.11761024 +11535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.24562855 +11536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.35731349 +11537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.159204717 +11538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.580248866 +11539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 15.31734128 +11541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.47973177 +11540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.921317047 +11542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.910543249 +11543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.84490543 +11545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.31081013 +11544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.840655184 +11547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.06308079 +11550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.801885794 +11549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.097433134 +11548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.606635992 +11546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.658831769 +11551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.86473829 +11552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.95392248 +11553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.744117863 +11554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.237557747 +11556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.71458296 +11557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.239564663 +11555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.278827736 +11558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.27125662 +11559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.774561094 +11560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.631452899 +11561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.196705695 +11562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.221546565 +11563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.777076318 +11564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.25786509 +11565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 14.34489924 +11567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.227571824 +11568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.183599125 +11569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.39809223 +11566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.66978567 +11570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 4.740870435 +11571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.97602645 +11573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.35922471 +11572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.821775897 +11574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.92250414 +11575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.5420114 +11578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.224889833 +11577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.85823746 +11576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.817552529 +11580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.64853423 +11579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.566194279 +11581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.765380375 +11582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.033446782 +11583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.10358661 +11584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.109211059 +11586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.34680777 +11585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.14623665 +11587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.855137174 +11588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.687243664 +11589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.568024962 +11590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.752420122 +11591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.716535696 +11592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.806694001 +11596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.25173637 +11593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.995721016 +11597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.103912349 +11595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.49989879 +11594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.59293379 +11598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.00789697 +11600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.877266927 +11599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.727918283 +11601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.31725009 +11602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.167967933 +11603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.861088746 +11604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.24370579 +11605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.842529897 +11607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.331137649 +11608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.583364542 +11609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.25403075 +11606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.80582416 +11610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.5170492 +11612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.079077658 +11611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.287427193 +11613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.001669934 +11614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.84827434 +11615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.98850498 +11616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.226164473 +11617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.066659122 +11620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.689262958 +11619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.797456238 +11618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.682077915 +11621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.98062521 +11622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.026202101 +11625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.881271141 +11623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.151567977 +11624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 4.641081484 +11626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.629226383 +11627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.644213794 +11628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.42903249 +11630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.790229687 +11632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.478390626 +11633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.62528694 +11634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.60977048 +11635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.165990839 +11631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.796514455 +11636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.84113031 +11629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.838456974 +11637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.19520877 +11640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.07042686 +11641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.396729838 +11642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.529446495 +11638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.83887033 +11643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.147847833 +11639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.588695455 +11645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.957300307 +11644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.980886261 +11646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.179612268 +11647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.32302718 +11649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.677680803 +11650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.80796739 +11651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.840199359 +11648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.59674389 +11652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.282110019 +11654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.67113899 +11655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 4.159318783 +11653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.84232206 +11656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.628912519 +11657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.33801229 +11658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.98355954 +11659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.727430701 +11661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.351052579 +11660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.8573001 +11662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.33035013 +11664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.58845391 +11665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.106256847 +11666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.02758997 +11663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.067310077 +11667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 15.74662942 +11668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.129155878 +11669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.707777545 +11670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.8224191 +11671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.935938237 +11673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.335988364 +11672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.64449156 +11676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.8451247 +11675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.473097113 +11677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.762501945 +11674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.272525095 +11678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 17.37206975 +11679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.888714349 +11680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.767013914 +11681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.760122199 +11682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.904717284 +11684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.44159018 +11683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.76898188 +11686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.36674007 +11685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.18766171 +11688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.90302359 +11689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.039227516 +11687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 4.572929408 +11691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.34191911 +11692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.507269944 +11693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.802496596 +11690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.7302397 +11694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.481052128 +11695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.826917059 +11696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.05596553 +11697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.770999493 +11698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.996559673 +11700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.543108637 +11699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.926018412 +11701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 16.83794986 +11703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.035243378 +11704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.67150444 +11702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.98752884 +11705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.864342678 +11706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.277063842 +11707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.564028032 +11708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.42784886 +11710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.418098956 +11709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.27993602 +11711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.722497794 +11713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 4.55467783 +11712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.26021067 +11714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.94764817 +11716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.59437114 +11715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.129451041 +11718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.67770653 +11717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.43584976 +11719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.071014711 +11722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.694035204 +11720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.17567279 +11723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.724182937 +11724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.63315989 +11721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.55797034 +11726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.877275642 +11725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.24038649 +11727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.467605917 +11729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.382233973 +11730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.592493843 +11731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.774905363 +11728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.736290811 +11733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.139089027 +11732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.088457782 +11735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.20654199 +11734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.15017541 +11736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.18486699 +11737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.778329378 +11739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.34220013 +11738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.38423672 +11740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.029366976 +11741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.215592036 +11742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.914826268 +11743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.437199753 +11744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.45885055 +11747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.835563496 +11746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.30229902 +11748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.85320361 +11745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 14.86456753 +11749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.240169765 +11752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.2111432 +11750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.046960129 +11751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.253457159 +11754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.993131817 +11756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.82062932 +11755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.4231591 +11753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.03010862 +11757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.075026081 +11758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.721254318 +11759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.166012064 +11760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.57455998 +11761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.820587707 +11763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.32346787 +11762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.006644579 +11764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.463373106 +11766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.05006245 +11768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.88599253 +11769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.602202386 +11767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 14.9592665 +11765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 18.78106119 +11771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.413369141 +11770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.40433726 +11772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.97191793 +11773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.30237428 +11775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.47793714 +11774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.31050229 +11776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.004650774 +11778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.040363472 +11777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.595298595 +11780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.600136643 +11779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.320707305 +11781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.003375515 +11784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.656371672 +11782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.318447755 +11783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.650999283 +11785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.54344857 +11786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 4.985126012 +11788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.805407997 +11787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.889939803 +11790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.06976335 +11789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.39543826 +11792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.601119882 +11793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.577493602 +11791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.845642334 +11794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.02573591 +11795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.598862587 +11796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.42685477 +11798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.298682185 +11797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.60420837 +11799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.466049084 +11801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.246928071 +11802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.33261546 +11800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.115510952 +11803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.54606517 +11805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.479609535 +11806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.976133722 +11807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.6768603 +11809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.65430674 +11810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.29815353 +11808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.679918588 +11811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.83552553 +11804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 4.948377449 +11812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.631332547 +11814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 14.54553052 +11813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.942832396 +11815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 4.530144409 +11816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.50429928 +11818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.403757493 +11817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.486073839 +11819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.89524172 +11820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.45989247 +11822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.275430549 +11821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.25278315 +11823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.620474599 +11825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.75807231 +11826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.26740079 +11824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.90651291 +11828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 1.508600953 +11830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.31742838 +11829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.62484581 +11827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.17481564 +11831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.62667646 +11833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.46326872 +11834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.83191566 +11832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.70859275 +11835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.86497878 +11836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.524123845 +11839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.20174254 +11838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.233706837 +11840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.879408056 +11842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.54303693 +11841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.98917644 +11837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.003557306 +11843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.724302321 +11844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.02477696 +11845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.66718593 +11847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.588478778 +11849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.15708899 +11846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.695288606 +11850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.46389561 +11848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.04523487 +11851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 3.973171543 +11852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.572257814 +11854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.23962667 +11855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.10019397 +11853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.885268412 +11857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.12817714 +11858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.00019005 +11856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.17495237 +11859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.57054463 +11860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.266580947 +11861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.747888445 +11862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.624647038 +11863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.56801405 +11865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.240165681 +11867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.15435794 +11866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 3.688855555 +11864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.487766026 +11868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 14.52112932 +11870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 3.022092205 +11869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.723729894 +11871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.81795871 +11873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.195282756 +11875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.43604296 +11872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.55812728 +11874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.244926705 +11876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.18740856 +11878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.047436599 +11879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.77764737 +11877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.33860366 +11880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.13679751 +11882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.97115708 +11883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.272544043 +11881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.31786509 +11884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.02106301 +11885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.457194436 +11886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.77296972 +11887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.68981501 +11888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.573193361 +11889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.083667077 +11891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.59217455 +11892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.6405236 +11890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.08973523 +11894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.893150534 +11893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.742721285 +11897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 4.937660298 +11895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.518056316 +11896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.73612843 +11898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 4.34054267 +11899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.21633961 +11901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.543904258 +11900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.118988656 +11902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.894803153 +11903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.244289987 +11904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.776056646 +11905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.85600091 +11907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 4.798920623 +11908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.13750801 +11906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.603882543 +11910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.30473109 +11909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.95534325 +11912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.053100403 +11911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.274978067 +11913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.21110744 +11916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.757758649 +11915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.38209134 +11914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.035590001 +11917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.106719471 +11919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.29977691 +11920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.37278344 +11921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.215515183 +11918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.42065212 +11924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.0472899 +11923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.333248816 +11922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.84571891 +11926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.29212995 +11927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 15.779295 +11928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.990347672 +11925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.363293413 +11929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.45495235 +11931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.733491919 +11930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.946149602 +11933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.25593358 +11934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 14.45086928 +11932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.075470685 +11935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.92494315 +11936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.503954643 +11938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.21205678 +11939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.795364829 +11937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.114581236 +11941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.66209748 +11940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.709926155 +11942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.64538271 +11944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 14.3088682 +11945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.523844345 +11943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.46796856 +11946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.975478027 +11947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.37565231 +11949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.693351566 +11948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.967208488 +11950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.13015431 +11951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.250114561 +11952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.36672885 +11953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.179690892 +11954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.345040246 +11956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.209207315 +11957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.328656061 +11959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.53071463 +11958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.929853195 +11955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.241696908 +11960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.44511899 +11962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.763416536 +11963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.839481032 +11961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.72527809 +11964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.501613243 +11966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.84846988 +11965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.18344646 +11967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.458072565 +11968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.882863885 +11969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.363833488 +11970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 13.05596093 +11971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.449631487 +11972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.14973718 +11973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.66471414 +11974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.57504307 +11975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.28242102 +11976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.396712507 +11977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.622935644 +11979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 10.28462533 +11980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 5.931902248 +11978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.00434915 +11981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.759639896 +11982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.305115715 +11983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.350265192 +11984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.08852492 +11985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 15.33496197 +11986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.236327032 +11987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 15.35679997 +11989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 14.53575355 +11990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.57233708 +11991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.196542128 +11993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 9.659529613 +11988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.626057123 +11992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 4.210780076 +11994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.064158729 +11995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 7.57612521 +11996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 8.805461056 +11998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 12.51127087 +11997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.27878899 +11999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 6.629240463 +12000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 11.94594236 +12001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.01346802 +12002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.72806079 +12004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.276320477 +12005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.114985647 +12007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.489648208 +12003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.15384257 +12009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 15.10011738 +12006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.257113175 +12010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.656560592 +12011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.303186975 +12013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.01747016 +12008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.999576954 +12015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.31954527 +12014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.225270781 +12012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.92704877 +12016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 4.204689867 +12017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 18.55069728 +12019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 14.45293292 +12020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.618854767 +12021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.380383103 +12018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.320096782 +12022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.561743107 +12023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.931330055 +12025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.397881845 +12024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.76842659 +12026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.978427617 +12028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.432612285 +12029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.93324169 +12031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.6709085 +12030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.10907156 +12027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.314013255 +12032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.953515312 +12033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.314701119 +12034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 4.08005864 +12035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.64653158 +12036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.012726044 +12037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.805096818 +12038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.430361676 +12040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.0473699 +12039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.537088681 +12041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.140988908 +12042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.592048844 +12043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 14.08247683 +12044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.22250878 +12046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.853382 +12045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.49713699 +12047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.572739174 +12049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.172859971 +12050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.491391324 +12048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.977233537 +12052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.925551186 +12051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.03842478 +12053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.15281032 +12055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.116167182 +12057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.30768564 +12056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.428496072 +12054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.10360425 +12058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.150551453 +12059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.137027194 +12060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.267106366 +12061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 13.83393418 +12064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.764981199 +12063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.809573414 +12065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.875680598 +12066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.264019281 +12068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.185108472 +12067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.67744849 +12062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.977650274 +12069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.72286976 +12071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.355725939 +12070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.559876539 +12072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.100034584 +12074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.650498933 +12076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.42970513 +12073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.267810674 +12075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.083272973 +12077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.649032563 +12079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.670543577 +12080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.64523144 +12078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 4.769370917 +12081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.919293211 +12082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.506348768 +12083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.417736401 +12084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.955997791 +12085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.289714752 +12086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.423885201 +12088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 3.74766031 +12089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.530626894 +12087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.94026254 +12090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.075646964 +12093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.355074064 +12091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.15716862 +12094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.486153812 +12092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.33980209 +12095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.65267353 +12097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.630307873 +12096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.000674689 +12098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.550723326 +12101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 13.50325168 +12100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.136100797 +12102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.72037985 +12099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.34270048 +12103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.47389417 +12104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 13.14893413 +12105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.38352253 +12106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.009419941 +12108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.28779135 +12107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 13.74105558 +12109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.022580146 +12111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.437705635 +12112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.24839229 +12114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.909482295 +12113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.3800153 +12110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.117225194 +12116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.94669087 +12117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.24105462 +12118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.65105496 +12115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.09836621 +12119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.066330406 +12120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.65542076 +12122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.20154029 +12123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.10551317 +12124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.493039891 +12121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.360531065 +12126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.389579425 +12128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.258141389 +12125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.881974244 +12127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.413768932 +12129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 3.727769447 +12130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.37749592 +12131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.549903785 +12132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.45853688 +12133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.869943955 +12136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.188752157 +12135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.843271235 +12137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.828640853 +12138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.70151299 +12139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.863884388 +12141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.470810307 +12134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.494302936 +12140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.25156895 +12143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.53060949 +12142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.598073022 +12144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.362665067 +12145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.08647983 +12146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.753632762 +12147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.501808283 +12148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.27119255 +12150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.000557257 +12151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.888886782 +12149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.184138429 +12152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 4.597944509 +12153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.12990252 +12154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.370089408 +12155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.96652974 +12157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.575180572 +12156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.354083261 +12159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.056688895 +12158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.44381933 +12160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.026376 +12161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.808165076 +12162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.555870384 +12163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.487234366 +12166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.8911642 +12165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.929404315 +12167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.990401372 +12164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.14827623 +12168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.982617997 +12169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.139536162 +12170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.954962562 +12172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.918712307 +12174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.45615801 +12171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.059459 +12175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.38778815 +12173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.43301137 +12177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 13.30347846 +12176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.27729852 +12178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.975479808 +12180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.660008127 +12179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.519100185 +12181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.706495704 +12183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.69089225 +12182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.13493701 +12186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 13.00122211 +12185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.633457817 +12187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 15.3333453 +12184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 15.97838382 +12190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.593868105 +12188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.501570501 +12189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 15.4363972 +12191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.39255013 +12192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.978384905 +12193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.310088297 +12195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.6991928 +12194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.347020306 +12196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.02421663 +12199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.012306834 +12197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.970849991 +12198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.610432813 +12201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.78500937 +12200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.576544683 +12202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.068712839 +12203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.758521168 +12204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.222599821 +12206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.403654773 +12207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.292920486 +12209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.676851457 +12208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.65898794 +12205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.246357974 +12210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.795934734 +12211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.459973066 +12212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.319331531 +12213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.809876042 +12215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.119554921 +12216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.037172658 +12217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 3.660302197 +12218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.90858852 +12214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.675924804 +12220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.29820212 +12219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.09978623 +12222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.68429883 +12223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.067581124 +12225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.04206093 +12224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.567901411 +12226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.719262091 +12221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.108830586 +12227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.401181574 +12228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.906865801 +12229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.78711047 +12231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.692038056 +12232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.76113325 +12233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.19970796 +12234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.531982305 +12230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.856031809 +12236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.709986401 +12237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.736220434 +12235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.041766713 +12238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.681155847 +12241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.27754398 +12239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.953885322 +12240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.653831596 +12242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.900313415 +12243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.920197678 +12244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.86019571 +12246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.01558931 +12247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.95192297 +12248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 17.16384694 +12249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.247444089 +12250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.253835528 +12251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.751765444 +12245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.74778869 +12252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 3.69553221 +12253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 3.481182335 +12254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.141049777 +12255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.331661613 +12257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 13.87012821 +12256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.19731723 +12259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.10641244 +12258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.98070164 +12261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.04784211 +12260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.123549842 +12262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.36517661 +12264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.2088282 +12263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.150397422 +12265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.349080023 +12269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.185571871 +12268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.63163255 +12270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.385027417 +12266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.382800901 +12267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.933323411 +12271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.036694863 +12272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.907625132 +12273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.853527451 +12274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.496206033 +12276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.304625736 +12275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.57365805 +12279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.222992519 +12277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.91690487 +12278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.20331054 +12280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.484867629 +12281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 14.9431302 +12282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.66496153 +12283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.927127303 +12284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.538877644 +12285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.88040967 +12286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.38199517 +12287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.276994563 +12288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.997563456 +12289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.901829638 +12290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.603267005 +12291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 14.1130716 +12292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.095012655 +12293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.221190989 +12294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.226885198 +12296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.835613667 +12298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.54267644 +12295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.615857665 +12297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 4.194566137 +12300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.420367627 +12299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.039549015 +12301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.689155988 +12303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.482073346 +12302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.54998591 +12305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.70837251 +12306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.178165522 +12304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.236624511 +12307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.30137704 +12308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.8084938 +12309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.154740583 +12310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 4.827339124 +12311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.825908585 +12313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.82090087 +12314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.16077869 +12315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.948551671 +12316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.405858127 +12312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.056546411 +12317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.0223489 +12318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.43206871 +12319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 4.066197911 +12321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.283781632 +12320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.237914071 +12323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.46945921 +12322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.143603884 +12324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.232954232 +12326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.86243958 +12325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.442082246 +12328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.67691207 +12329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.3206042 +12327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.91426965 +12330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.447385812 +12331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.977909893 +12333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.836752008 +12334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.561512833 +12332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.841936565 +12335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.383361893 +12337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.839078707 +12336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.16801765 +12338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.791678898 +12339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.01429113 +12341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.383301239 +12340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 13.9759923 +12344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.776083556 +12345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.684206368 +12346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.899917268 +12342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.100036981 +12347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.088110092 +12343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.061313045 +12349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.959479673 +12348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.473230246 +12350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.31204928 +12353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.685013094 +12351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.374373944 +12354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.4586722 +12355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.91554318 +12352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.51859267 +12357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.17421721 +12356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.972717759 +12358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.051805537 +12359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.415761283 +12360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.679784444 +12361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.779925846 +12362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 15.40023238 +12363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.36248456 +12364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.214550734 +12365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.489697263 +12366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.25181167 +12367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.223782129 +12368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.899500788 +12369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.999224804 +12370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.578572492 +12371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.32052667 +12373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.007369366 +12372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.80218028 +12374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.66734308 +12375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.646433407 +12377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.75660697 +12376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.483522208 +12378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.33143627 +12380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 14.05475717 +12379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.626098532 +12382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.020742259 +12381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.600858839 +12383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.08864499 +12384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.967958406 +12386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.117587038 +12385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.411876947 +12387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.623987546 +12389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.990179495 +12388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.986581489 +12391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.16751737 +12390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.95042831 +12392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.85615975 +12394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.027526497 +12393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.0453954 +12395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.449221327 +12396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.27067236 +12398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.889495934 +12399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 14.03183214 +12397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.509636173 +12400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.729351238 +12401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.14565106 +12402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.437417824 +12403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.948728586 +12404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.777823518 +12406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 3.306772683 +12405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.020101568 +12408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 4.843116517 +12410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.770101902 +12409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.310541117 +12407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.19891963 +12411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 17.54751355 +12413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 13.19290807 +12412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.240627604 +12414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.605260392 +12415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.876500491 +12417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.499630321 +12416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.551840229 +12418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.06678004 +12419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.206704054 +12420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.002811004 +12421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.625284778 +12422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 14.00682053 +12423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.59228468 +12424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.488223723 +12425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.783455613 +12426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.985851708 +12427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.32077738 +12429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 13.6046156 +12428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.772340862 +12430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.19232546 +12433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 4.283331945 +12431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.96198209 +12432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.433342121 +12435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.01091668 +12434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.510052333 +12437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 4.389019685 +12438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.090541554 +12436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.96401229 +12439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.03251214 +12440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.40627089 +12441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.463988361 +12442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.932831338 +12444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.66364221 +12445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.28718377 +12443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.556357679 +12446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.471492407 +12447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.566416479 +12449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.854770798 +12448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.762029305 +12450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.742379404 +12452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 14.18244934 +12451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.02881828 +12453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.71656098 +12454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.020062154 +12455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.17864274 +12456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 4.708351373 +12457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.7630759 +12458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.427256447 +12459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.59988083 +12460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.900155725 +12462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.91267402 +12464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.3208545 +12463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.886677057 +12461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.119814613 +12466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.919760199 +12465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.629188796 +12467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 1.874144451 +12468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 14.04297076 +12469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.53253833 +12470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.0331158 +12471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.44661191 +12472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.16404929 +12473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.513539052 +12474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.67924051 +12475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.084631105 +12478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.86964615 +12479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.923724849 +12476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.178038301 +12477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.209098715 +12481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.76184943 +12482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.328659803 +12480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.11366843 +12483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.246106416 +12484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.088182996 +12485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.429209353 +12486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.07029994 +12487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.485726335 +12488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.267592272 +12489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.692373459 +12490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 13.47807886 +12491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.617147371 +12492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.799111063 +12494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.062802379 +12493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.5937281 +12496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.186677982 +12495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.981552185 +12497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.877148247 +12499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.493870026 +12500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.678780764 +12498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.123910066 +12501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 3.494964841 +12502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.105827964 +12503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.743421983 +12504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.63224665 +12505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.110467572 +12506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.462478879 +12507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.14182154 +12510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.58342136 +12508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.079546935 +12509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.37370486 +12511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.433778443 +12513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.13079986 +12512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.73142857 +12514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 4.186466559 +12515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.176820153 +12518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.543676543 +12516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 13.41168566 +12519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.37981657 +12520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.37713161 +12517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.63511876 +12521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.956494811 +12522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.679595822 +12523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.52475004 +12525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.18101372 +12526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.83397035 +12524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.739301257 +12528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.201948207 +12527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.211728489 +12530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.107329873 +12529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.269656491 +12531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.56330343 +12533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.45650217 +12532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.39520564 +12534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.085520703 +12536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.475738853 +12535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.193133239 +12538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.291882802 +12537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.08757883 +12539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.2749206 +12540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.0312097 +12541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.203986459 +12542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.20353394 +12543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.058069242 +12545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.697013631 +12544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 13.98614557 +12546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.283402055 +12547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.330776956 +12548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.062518531 +12549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.596988154 +12550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 4.068332178 +12551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.28661243 +12552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.567040716 +12553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.90320059 +12554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.76782618 +12555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.822497685 +12556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.53915 +12558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.08331366 +12559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.45753518 +12557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.340823902 +12560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.934897557 +12561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.30435983 +12562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.07898431 +12563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.451077417 +12564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.307073627 +12565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.64721366 +12566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.25088451 +12567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.1043004 +12568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.196678992 +12569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.16718782 +12570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.40397273 +12571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.826954255 +12572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.02264053 +12573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.710803962 +12574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.017380916 +12576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.660099111 +12577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.82582765 +12578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.02399992 +12575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.17190963 +12579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.74596324 +12580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.716652101 +12581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.960180639 +12582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.572975142 +12584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.236394588 +12583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.418522314 +12585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.151768459 +12587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.98804742 +12586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.44302532 +12588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.00343383 +12589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.10543849 +12590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.3744905 +12592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.278871519 +12591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.98458908 +12593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.263326952 +12594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.500761711 +12596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.506512134 +12595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.24955292 +12597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.773218364 +12598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.91982265 +12599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.02764028 +12600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 15.35391597 +12601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.17426401 +12602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.572838025 +12603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.42265118 +12605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.987949798 +12606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.02798815 +12607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.135644 +12604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.51599271 +12608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.752460349 +12609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.914579499 +12610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.592690196 +12611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 16.02654376 +12612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.901795404 +12613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 3.855125696 +12614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.041781834 +12617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.329773988 +12616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.756282388 +12618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.38411996 +12619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.485600684 +12615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.06122296 +12620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.48616356 +12621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.894702626 +12622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.955814831 +12623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.2893094 +12624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.329172916 +12625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 4.450739983 +12626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.452458514 +12629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.050593848 +12627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.982705123 +12628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.62140231 +12630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.76433801 +12631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 14.51726519 +12632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.406568044 +12633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.804416278 +12634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.73859829 +12635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.472985365 +12638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.705835646 +12637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.003719963 +12636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.238736333 +12639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.083255547 +12640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.523186011 +12641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.080423795 +12642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.63392126 +12643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.31399151 +12644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.044743079 +12645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.05635089 +12647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.285562581 +12646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.329450697 +12648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.04796162 +12649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.731359764 +12650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.14684146 +12651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.204556518 +12652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.20365047 +12653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.201877379 +12654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.739523591 +12656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.81794804 +12657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.220405703 +12658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.51925318 +12655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.68106376 +12660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.552856192 +12659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.128076807 +12661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.719674081 +12662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.586676015 +12663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.724539774 +12664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 13.16037542 +12665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 14.01558938 +12667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 4.871974998 +12666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 4.824489584 +12668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.82267014 +12669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.770578707 +12670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.45662736 +12672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.756110852 +12671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.46917533 +12673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.43194774 +12674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.05974466 +12676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.384274521 +12677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.981673735 +12678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.799602587 +12675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.777633093 +12680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.65639233 +12681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.62603623 +12679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.851222169 +12682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.576379468 +12683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 2.711798736 +12684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.916583557 +12686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.5944754 +12685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.26456102 +12687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.457657563 +12689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 13.06971102 +12688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.655873022 +12691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.46440219 +12690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.363362178 +12692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.85758787 +12693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.723555587 +12695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.413015213 +12696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.053344472 +12697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.147885177 +12694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.785324039 +12698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.141377909 +12699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.17358122 +12700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.412271192 +12701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.62779368 +12703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.948506816 +12704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.657649148 +12705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.67080753 +12702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.154174418 +12706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.566249691 +12707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 14.10556424 +12708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.254086305 +12709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 14.29446972 +12711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.29703553 +12712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 4.938106871 +12710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.534000709 +12713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.727424609 +12714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.453750804 +12715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.162054238 +12716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.434482267 +12718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.518848487 +12720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.53998989 +12717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 13.53697587 +12719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.086134583 +12723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.00549173 +12722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.63212138 +12724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.883898404 +12727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.492534186 +12726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.664340411 +12721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.301084189 +12725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.06241151 +12728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.826792337 +12729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.108504622 +12730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.905174917 +12731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.758584933 +12734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 14.08901232 +12735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 4.01984301 +12736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.506249181 +12733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 13.11306122 +12732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.451883075 +12737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.13006874 +12738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.586136411 +12739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.42774745 +12740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.351496245 +12741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.62369723 +12742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.038577827 +12743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.506428417 +12744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.923193457 +12745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.765011995 +12747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.60480952 +12748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.6732162 +12750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.23360111 +12751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.62372877 +12749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.785808699 +12752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.130276159 +12753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.26914976 +12746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.8185364 +12754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.29375941 +12756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.181259739 +12757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.140503227 +12755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.767745863 +12759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.245591313 +12758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.524311104 +12760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.69411808 +12761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.564083774 +12762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.02921117 +12763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.88208409 +12764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.55364884 +12765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.13949601 +12766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.99751123 +12767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.802832268 +12768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.423939298 +12770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.446340266 +12772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.677482183 +12771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.923998114 +12773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.087789776 +12769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.83893417 +12774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.51080459 +12775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.923564516 +12776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.035645059 +12778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.58558942 +12777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.691447163 +12779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.154516567 +12780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.05852433 +12781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.138454244 +12782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 2.755442055 +12783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.965734029 +12784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.528868298 +12785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.191476279 +12786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 15.48274263 +12788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.399303791 +12787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.01558595 +12790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.270616568 +12791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.126559361 +12792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.05396836 +12789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.903582332 +12793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.493043201 +12796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.279042772 +12795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.74098234 +12794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.776274071 +12798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.35413596 +12797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.32957222 +12799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.122540598 +12800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 15.88988805 +12801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.88857977 +12803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.383614018 +12802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.69788105 +12804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.09145493 +12806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.699983842 +12807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.154164983 +12805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.272994341 +12809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.676145149 +12810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.830368146 +12808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.89118631 +12811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.695212173 +12812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.438811629 +12813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.35288647 +12814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 4.813097871 +12815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 13.08139612 +12816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.30269097 +12817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.08043712 +12819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.24890773 +12820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.2694218 +12818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.086075108 +12821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.907595045 +12823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 14.48087887 +12822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.25617799 +12824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 4.123609314 +12825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.505800014 +12826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.947740008 +12827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.112303389 +12828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.096236638 +12829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 14.54960532 +12831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.965662698 +12832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.723665807 +12833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.371125398 +12830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.61506275 +12834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.52655982 +12835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 15.06130082 +12837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.50682017 +12838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.22322777 +12836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.05937967 +12839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.25402226 +12841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.75136676 +12842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.04192968 +12843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.983323389 +12840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.447686095 +12844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.99681128 +12847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.76500625 +12845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.90682043 +12846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.992719076 +12848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.250328573 +12850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.88944995 +12849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.640993181 +12851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.679928306 +12852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.59128719 +12854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.480019911 +12857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.792031988 +12855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.822849506 +12853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.922734276 +12858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.590651088 +12859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.330729502 +12860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.73261938 +12856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.650756755 +12861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 18.0879458 +12863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.328820201 +12864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.38903659 +12865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.825926415 +12866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.818719769 +12867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.35969529 +12862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.77943159 +12868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.193912342 +12869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.59031562 +12870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.78105947 +12872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.170027485 +12873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.69637964 +12871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.574980471 +12874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.31237785 +12875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 15.84910544 +12878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.975729838 +12877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 3.198338675 +12880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.155055162 +12879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.61499565 +12881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.724545677 +12882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.7456928 +12876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.28716314 +12883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.75488378 +12885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.57740819 +12884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.332531995 +12888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.081446615 +12889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.888425261 +12886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.002012939 +12890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.806345897 +12891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.32869381 +12887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.475664049 +12892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.532430935 +12893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.677719185 +12894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.772066052 +12895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.35604851 +12896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.60169708 +12898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.969997781 +12899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.247313279 +12897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 4.883951197 +12901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.45256526 +12902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.288964689 +12903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.342815634 +12904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.665466764 +12900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.11592903 +12906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.608099978 +12905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.564833177 +12907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 3.193618742 +12908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.74596943 +12910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.11257647 +12909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.254474212 +12912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.221274901 +12913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.65135689 +12911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.380811582 +12914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.39743231 +12916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.57916734 +12917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.901102943 +12918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.447543249 +12920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 13.83742034 +12919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.014387174 +12921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.313126971 +12922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.238870578 +12915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 14.08590003 +12923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.55097365 +12924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.754564025 +12925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.970114479 +12927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.23174112 +12926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.235832028 +12929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.405462987 +12930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.764541043 +12928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.080487617 +12931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.989002447 +12932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.69243069 +12933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.9232915 +12934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.725279834 +12936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.976642489 +12935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.749318813 +12938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.48542136 +12939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.853883021 +12940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.90532691 +12937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.293519928 +12941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.65153396 +12942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 4.205625687 +12943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 13.83110187 +12945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.62861803 +12946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.983696166 +12947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 4.956899836 +12944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.39929118 +12950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.34914326 +12948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.796340279 +12949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.18017289 +12951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.790619845 +12954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.872307791 +12953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.664229316 +12952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 13.36745804 +12955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.067298657 +12956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.82232013 +12958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.2809889 +12959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.0475607 +12957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.16498299 +12960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.169095712 +12962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.65207011 +12964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.324632218 +12963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.336078756 +12961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.820289474 +12966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 4.826391347 +12965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 5.778701205 +12968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.28567859 +12967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.552740941 +12972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.445365682 +12974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.68618036 +12969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 4.042348873 +12973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.54035798 +12970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.21310204 +12971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.432353835 +12975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.57056815 +12978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.291374791 +12979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 12.60206086 +12980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 4.538011696 +12981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.23843373 +12977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 4.970516419 +12982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.94478708 +12976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 8.978340138 +12983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.934104016 +12985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 4.482107145 +12984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.77143668 +12986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.90557343 +12987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.66871193 +12988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.57655458 +12989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.885724483 +12990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 7.655330514 +12991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.835447371 +12992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.027278657 +12993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 11.93680816 +12996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.543241324 +12994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.31674765 +12995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 13.13947316 +12998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 10.441848 +12997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.693748239 +12999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 6.314629859 +13000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 9.65521075 +13001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.632349985 +13003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.225230291 +13004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.09407119 +13002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.835576485 +13006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.477069008 +13005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.555679145 +13009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.07624834 +13008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.478544922 +13010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.019141953 +13011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.34299092 +13007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.775848738 +13012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.36270347 +13013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.06088228 +13014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.02298425 +13016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.022508271 +13018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.277347008 +13015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 13.85337667 +13017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.7334187 +13020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.14929119 +13019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.685125785 +13021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.21977957 +13024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.601801419 +13023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.838082114 +13025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.212515046 +13026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.90939012 +13027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.945459672 +13028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.27847482 +13022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.494363151 +13031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.64994054 +13029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.43369407 +13032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.65509376 +13030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.039399745 +13033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.389184539 +13034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 13.40945297 +13036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.679924539 +13035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.01609266 +13038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 13.530744 +13037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.884199152 +13040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.17970338 +13039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.427189894 +13041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.346762463 +13042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.12682914 +13045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.028914257 +13046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.51837145 +13044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.717499844 +13047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.352468604 +13048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.705853002 +13043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.89430535 +13049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.621316213 +13050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.074758743 +13051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.059109021 +13053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.28972234 +13052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.920815927 +13054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.256003492 +13055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.3261052 +13056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.87867463 +13057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.75701759 +13058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.484178769 +13059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.15462336 +13060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.349975305 +13061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.637966531 +13063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.5350678 +13062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.89850225 +13065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.145945 +13064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 13.34026633 +13066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.320168441 +13067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.799687383 +13068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.452000967 +13069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.205083816 +13071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 13.51217578 +13070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.233085133 +13075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.215446079 +13073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.54578814 +13074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.970416908 +13072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.545173233 +13076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.40686934 +13077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.437378637 +13078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 3.965037387 +13079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.7142154 +13080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.66342467 +13082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.61405005 +13083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.052942002 +13081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.5388813 +13084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.044225659 +13085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.093037059 +13086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.302752216 +13087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.451385306 +13088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.42001076 +13089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.830502382 +13090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.37656385 +13092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 15.02748923 +13094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.259903859 +13093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.320595146 +13091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.78636082 +13095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.408207138 +13096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.68846873 +13098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.313948155 +13099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.988754646 +13101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.371505066 +13100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.53017368 +13097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.17631677 +13103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.254990034 +13102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.92416755 +13104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.244438589 +13105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.295976005 +13106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.642073129 +13108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.478117632 +13107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.456248252 +13109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.816837535 +13112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.981179677 +13110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.46045011 +13113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.00522246 +13114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.083124591 +13111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.652040855 +13116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 15.2573633 +13117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.514644962 +13115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 14.17381488 +13118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.674586658 +13119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.389324935 +13121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.03556648 +13120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.101397924 +13123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.196200647 +13122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.468329562 +13124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.897250042 +13126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.565977728 +13127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.232091326 +13125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.569270894 +13129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.597840828 +13128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.690025978 +13130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.708099565 +13132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.51608553 +13133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.51111841 +13131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 15.56745213 +13134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.3812339 +13135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.6290064 +13136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.498747422 +13137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.007706047 +13138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.220453502 +13140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.315372665 +13142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.117362881 +13141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.92292818 +13143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.229610844 +13139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.81142478 +13144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.65733807 +13146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.2575724 +13145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.262406203 +13147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.622158158 +13150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.37431339 +13151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.612282198 +13148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.92916143 +13152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.531815224 +13149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.24359766 +13154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 13.11755999 +13153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.502755458 +13155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.22649022 +13156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.612636371 +13158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.375125655 +13159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.580983989 +13161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.986387403 +13162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.52398842 +13157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.517162505 +13163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.588573 +13160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.328824262 +13164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.23703572 +13165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.516777624 +13166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.408970042 +13168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.69558581 +13169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.916629515 +13170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.956643395 +13167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.830066564 +13171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.653689976 +13172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.588409578 +13173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.292846982 +13174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.765975781 +13175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 3.774400381 +13177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.8781566 +13178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.754094848 +13176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.760749428 +13181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.131444659 +13182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.64460133 +13183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.74049246 +13180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.39038048 +13179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.738515878 +13184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.68546529 +13185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.636521962 +13186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.362959728 +13187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.926083 +13189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.260353692 +13190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.946084653 +13188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.619461987 +13192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.281781825 +13193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.94038136 +13194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.222667397 +13195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.04805307 +13196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 17.4550542 +13198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.378721447 +13191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.969104108 +13199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.337550842 +13200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.691313386 +13197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.269024607 +13201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.515291098 +13202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.009952371 +13204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.19187757 +13205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.7704912 +13207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.845378093 +13206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.13199821 +13208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.988762038 +13203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.45656856 +13209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.463006303 +13211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.13109353 +13212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.106096331 +13214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.075650439 +13216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.622188935 +13210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.26102263 +13213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.683195272 +13215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.344402365 +13217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.228727495 +13218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.224402535 +13220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.367971813 +13223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.46644478 +13221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.366611634 +13219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.922251282 +13224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.186399568 +13222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.833058165 +13225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.247721221 +13226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.897042325 +13227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.825089512 +13228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.57394423 +13229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.62881608 +13230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.421480181 +13231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.483942572 +13232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.040170415 +13233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.599471084 +13234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.997548141 +13235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.00901348 +13236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.835201894 +13237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.855898483 +13240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.458006976 +13238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.890621654 +13239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.738026004 +13241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 3.448587987 +13243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.12505816 +13244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.223898219 +13242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.772634108 +13245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.513311662 +13248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.76626121 +13247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.945594589 +13246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.472428628 +13249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.168154208 +13250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.332459825 +13252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.4105333 +13253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.07343694 +13251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.418773129 +13254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.12243712 +13256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.854617622 +13258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 3.47579779 +13257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.836712324 +13259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.548382971 +13260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.586636739 +13261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.962241161 +13255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.93338175 +13262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.40367216 +13265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.27879647 +13266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.91772615 +13263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.908592029 +13264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.68261603 +13267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.52130725 +13268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.925511171 +13270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.972597116 +13269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.0479092 +13271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.490803606 +13272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.08683958 +13273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.998552957 +13275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 2.718917254 +13276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.974984534 +13274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.887386634 +13277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.960756989 +13278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.468477466 +13279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.54375434 +13281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.58835755 +13280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.169367642 +13282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.99965501 +13283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.195165992 +13284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.483928914 +13285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.212778883 +13287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.355799168 +13286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.265754014 +13289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.812054771 +13288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.013870939 +13290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.125554297 +13292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.076454903 +13291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.977454355 +13293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.922595196 +13296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.941360801 +13294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.198961955 +13297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.02025281 +13298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.830892628 +13299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.68183237 +13300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 15.00858556 +13295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.43972148 +13301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.09965081 +13302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.275719716 +13303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.040631851 +13305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.03029168 +13304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.17853352 +13307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.404518863 +13306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.048443478 +13309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.567055173 +13308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.60519512 +13310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.58073432 +13311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.961940788 +13312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.996574566 +13313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.14702388 +13314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.501122649 +13315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.532923959 +13318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.642179381 +13319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.01764629 +13316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.5119553 +13320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.038629606 +13317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.493063878 +13321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.824316504 +13322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.761784673 +13323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.191696607 +13324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.252659731 +13325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.41485439 +13326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.359789796 +13327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.205794594 +13329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.174166909 +13328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.941198131 +13330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.603635556 +13331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.002859286 +13333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.614676717 +13332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.361338113 +13335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.987695908 +13336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.03549431 +13334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.314722494 +13338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.42181616 +13337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.340778213 +13339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.870011353 +13341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.88491077 +13340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.832562145 +13342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.442584189 +13344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.24713816 +13345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.798551677 +13343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.34230271 +13346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.957457009 +13348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.224385138 +13347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.264074934 +13349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.35177203 +13350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.87102921 +13351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.468149139 +13352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.463228355 +13353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.264058 +13354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 16.19427506 +13356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.476089986 +13355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.03443566 +13357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 14.31719731 +13358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.40062514 +13359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.704622324 +13360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.214609326 +13363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.18541617 +13364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.26514636 +13366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.837410943 +13365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.966584306 +13361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.48476444 +13367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.041854489 +13368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.611145097 +13362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.06035531 +13369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.12924784 +13370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 13.46652074 +13373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.791738147 +13374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.832491936 +13372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 14.44678811 +13371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.51713156 +13375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.769493788 +13376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.536815336 +13377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.86151053 +13378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.435491879 +13379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.21831498 +13381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.087907245 +13380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.608084364 +13382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.729210256 +13383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.055982614 +13384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.904928573 +13385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.219030016 +13386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.557668164 +13387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.536704368 +13390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.371243925 +13388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.611389126 +13389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.499134933 +13391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.463436852 +13392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.90860725 +13393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.146493371 +13394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.155578391 +13395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.598566748 +13396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.48351993 +13397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.02223187 +13398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.89618765 +13399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.86707217 +13401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 13.27550345 +13400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.232996121 +13402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.6516181 +13403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.11260139 +13404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.963858538 +13405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.12958017 +13406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.55321745 +13407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.76175136 +13408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.399827369 +13409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.4686265 +13411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.87696328 +13412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.266798621 +13413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.613825577 +13410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.11621402 +13414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.0034479 +13415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.584468049 +13416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.357608608 +13418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.194574295 +13420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.400684841 +13419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.509843852 +13421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.929878723 +13422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.01513629 +13423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.53078896 +13417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.728840202 +13424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.067841883 +13425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.34883944 +13428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.70758202 +13426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.076724871 +13427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.372901411 +13429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.806854518 +13430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.999220496 +13431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.469718194 +13432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.71625443 +13433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.322976634 +13435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.31284859 +13434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.151764527 +13436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.283335799 +13437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.577928813 +13438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.56897683 +13439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 1.901165527 +13440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.224996872 +13443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.919641793 +13441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.755234501 +13444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.110690907 +13442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.65082006 +13445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.65746745 +13446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.393327567 +13448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.394480969 +13449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.318111718 +13450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.289637246 +13452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.816469597 +13447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 2.268306381 +13451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.353380509 +13453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.27685713 +13454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.88342312 +13455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.192218431 +13456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.301603917 +13457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.015144907 +13458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.359873884 +13460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.685988979 +13459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.221288481 +13461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.8632267 +13462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.877380185 +13463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 13.28368956 +13464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.608769644 +13465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.628435127 +13466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 13.32902508 +13467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.28417816 +13469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.47043816 +13470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.259258995 +13468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.321325235 +13471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.5301572 +13473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.50994702 +13472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.52543168 +13474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.874729875 +13476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.188677243 +13475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 14.34878529 +13477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.18014502 +13478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 3.128878063 +13479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.17782416 +13480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.938340819 +13481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.510173971 +13482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.806485074 +13484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.372101114 +13483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.186783489 +13485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.39149211 +13487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.00256701 +13488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.17660033 +13489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.751374456 +13490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.676388099 +13486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.979938245 +13492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.012114 +13491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.507219514 +13493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.588221269 +13494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.264548195 +13495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.93430453 +13496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.347054167 +13498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.403148374 +13497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.486940989 +13499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 15.73346868 +13500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.373959073 +13501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.1820618 +13502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.178936618 +13504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.572086034 +13505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.808382944 +13503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.75436711 +13507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.643271456 +13508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.30096919 +13506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.678273087 +13509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.131362403 +13510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.674083422 +13512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.216070282 +13511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.522795232 +13513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.59289431 +13514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.71268065 +13515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 3.023313366 +13516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 13.53018571 +13517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.174887088 +13518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 2.486368614 +13519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.466472506 +13520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.081702511 +13522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.122173172 +13521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.46407048 +13523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.430266478 +13524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.933599421 +13525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.07597797 +13527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.901094041 +13528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.171505822 +13526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.718549631 +13530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.973470758 +13529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.67612239 +13533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.35345184 +13531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.48660989 +13534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.586523584 +13535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.16617934 +13536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.592768703 +13537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 13.60784629 +13538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.798155195 +13532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.24152247 +13539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.602207728 +13540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.70234609 +13541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.928580856 +13544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.714003377 +13543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.80166647 +13542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.11381847 +13547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.397259226 +13546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.081678724 +13548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.16741691 +13545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.004062746 +13549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.78770847 +13550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.078561926 +13551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.813923413 +13552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.553206715 +13556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.836724022 +13557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.22306611 +13554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 13.3447874 +13553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.16342933 +13558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.559965504 +13555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.942605988 +13559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.310626356 +13560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.056473369 +13561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.190033588 +13562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.690504157 +13564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.657308514 +13565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 13.97613012 +13566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.464732914 +13563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.9947174 +13567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 13.13514469 +13568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 16.16476344 +13570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.9417468 +13572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.37502816 +13571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.179442867 +13573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.00284682 +13575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.802546512 +13576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.648581065 +13569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.561077265 +13574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 3.942086197 +13579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 13.81113832 +13577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.351271736 +13578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.366238913 +13580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.237844741 +13583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.159122399 +13581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.175968613 +13582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.141840508 +13584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.126259337 +13586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.567269479 +13587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.849864306 +13585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 14.01529635 +13590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.54840402 +13591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.787847201 +13588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.385273921 +13592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.872425668 +13594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.531227795 +13595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.026243449 +13589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.540086005 +13593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.424963837 +13596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.067227933 +13597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.02427253 +13598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 3.300002986 +13600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.516119216 +13602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.74635194 +13601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.324417818 +13603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.536852434 +13605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.368802828 +13604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 13.42830838 +13607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.644174764 +13599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.462793042 +13606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.03587843 +13610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.52989442 +13609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.695085913 +13608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.287051192 +13611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.998932 +13612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.217705504 +13615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.991533196 +13614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.794783092 +13617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 15.08868481 +13618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.36652769 +13616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.156342337 +13613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.249041579 +13619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.741000197 +13620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.873126377 +13624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.376462187 +13623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.62649485 +13621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.306827173 +13625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.789866251 +13626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.742600837 +13627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.792401888 +13628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.501754823 +13622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.633564346 +13630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.512374893 +13631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.32768905 +13632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.895618149 +13634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.66248215 +13635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.962285504 +13636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.33522197 +13633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.18200736 +13629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.913567021 +13637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.90866918 +13638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.734683458 +13639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.502265025 +13643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.45704435 +13640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.06644995 +13641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.635011351 +13644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.410176062 +13645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.68807706 +13647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.465567163 +13649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.087029378 +13650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 14.52236861 +13648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.899065099 +13642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.4998618 +13646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.435140736 +13652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.35883507 +13653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.20203537 +13651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.482482627 +13656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.591999572 +13654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.331998283 +13657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.77468233 +13658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.347940364 +13655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 16.45364491 +13660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.813064906 +13659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.491506169 +13661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.74854989 +13662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.582708508 +13663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.707550364 +13666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.516391666 +13667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.287992558 +13665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.401508059 +13668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.267934819 +13669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.670994673 +13670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.095622925 +13664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.73353613 +13672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.344257588 +13671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.48884692 +13673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.53460818 +13674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.22766033 +13677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.533617562 +13676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.928064083 +13678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.97204657 +13675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.970518408 +13681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.535283318 +13680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.38165971 +13679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.90600178 +13682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.20961451 +13683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.9267744 +13684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.02129199 +13686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.061697556 +13689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.172269563 +13687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.869040056 +13688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.28953518 +13690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.271515186 +13685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.625916213 +13691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.666752514 +13692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.71206979 +13695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.693425582 +13693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.46226137 +13694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.957553148 +13697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.610879784 +13699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.010152201 +13698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.26479577 +13696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.790153188 +13700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.31462005 +13701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.053192989 +13703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.751591752 +13702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.94347525 +13704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.66599026 +13707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.149062273 +13706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.954919083 +13705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.04150262 +13708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.313008545 +13709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.299546821 +13710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.87780281 +13711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.982237579 +13712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.492250655 +13713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.829996427 +13715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.50656366 +13714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.301901489 +13717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.037459971 +13718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.690293953 +13716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 13.34010916 +13719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.788772279 +13722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.26361358 +13721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 13.62635036 +13724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.163742074 +13723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.67727958 +13720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.891046091 +13726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.390752601 +13725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.1130492 +13727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.920040324 +13728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.151136649 +13730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.37838449 +13729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.493250821 +13732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.559409031 +13731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.603749163 +13735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.653285864 +13733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.32394331 +13734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.498169567 +13736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.739566346 +13737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.568430244 +13739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.947959374 +13741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.456620256 +13740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.21677801 +13742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.548583644 +13738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.28535735 +13743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.375006104 +13744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.116566464 +13745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.627743277 +13747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.216902858 +13748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.469548709 +13749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.76627273 +13750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.494988657 +13751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.07633328 +13746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.237937585 +13752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.056821286 +13753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.417219062 +13755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.438581441 +13754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.717462252 +13756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.925935163 +13758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.0231516 +13759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 17.54385331 +13757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.60105007 +13760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.881488545 +13761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.973658626 +13764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.224208675 +13762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.09527379 +13765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.33851351 +13763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.052243229 +13768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.092224174 +13767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.527972972 +13769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.934412734 +13766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.64362613 +13771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.34099125 +13772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.209819124 +13770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.638515395 +13774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.392679783 +13773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.19344921 +13775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.94396874 +13778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.402846412 +13776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.04964534 +13777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.263957221 +13780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.552061036 +13779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 14.17378532 +13782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.01983904 +13781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.292789455 +13783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.508146583 +13785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 13.19941149 +13784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.175721735 +13786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.010349847 +13788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.827552622 +13787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.307188045 +13789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.997825474 +13790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.140005072 +13791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.73138291 +13792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.740304587 +13793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.45832526 +13794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.64069808 +13795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.084285683 +13796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.655913349 +13798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.30286619 +13799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.627735119 +13797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.246924184 +13800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.961273699 +13801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.017307892 +13802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.413483704 +13803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.18793905 +13804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.939283286 +13806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.06814793 +13807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.00881464 +13805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.96793473 +13808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.096873914 +13809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.058581927 +13810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.795772928 +13811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.176122221 +13812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.134286027 +13814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 3.882839877 +13813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.361215552 +13815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.370021083 +13817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.354475938 +13816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.77737541 +13819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.76069796 +13818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.898401339 +13820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.71030202 +13822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.73697923 +13821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.50929849 +13824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.472218033 +13825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.947242123 +13823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.74434851 +13826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.448077692 +13827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.740673625 +13828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.257965646 +13829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.481118246 +13830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.876021051 +13831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.674197755 +13832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.502264175 +13833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.370044911 +13834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.857736825 +13835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.989208192 +13836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.437399933 +13837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.575482898 +13838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.846603278 +13839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.84849651 +13840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.177319524 +13841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.300161836 +13842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.55694992 +13844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.336797 +13846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.36487682 +13845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.440759977 +13843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.934187222 +13847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.57913969 +13848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.26398789 +13849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.82953019 +13850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 3.876949033 +13852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 13.59922511 +13853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.202555366 +13851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.684198916 +13854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.01414182 +13855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.536802842 +13857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.933640945 +13856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.53800184 +13858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.82048572 +13861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.950721889 +13860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.53449578 +13859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.463537936 +13863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.829749547 +13862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.71042079 +13866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.354046717 +13864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.269353997 +13865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.876124285 +13867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.798235254 +13868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.98800435 +13869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.020092327 +13870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.35169027 +13871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.611086381 +13873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.34832766 +13872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.373840888 +13874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.20311996 +13875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.964388644 +13876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.283811996 +13877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.326436725 +13878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.761835112 +13880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.289101687 +13881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.841117831 +13879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.529839374 +13882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.724094832 +13883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.50385978 +13884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.972276765 +13885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.531108495 +13886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.34089051 +13887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.444736835 +13888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 13.47461527 +13890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.61438741 +13889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.14517414 +13892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.172338431 +13893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 14.16379848 +13894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.66572415 +13895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.123440264 +13896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.557780993 +13891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.39505822 +13897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.47320669 +13901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.218255896 +13900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.336772885 +13899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.0777601 +13898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.62645046 +13903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.06167707 +13902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 14.30042576 +13904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.27113057 +13905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.216931395 +13908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.73263257 +13906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.882877644 +13907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.769818831 +13909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.11690217 +13910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.484459875 +13912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.607793584 +13913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.847933084 +13914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.594500845 +13915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.863899198 +13911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.11649802 +13916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.209034523 +13918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.032451211 +13917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.95950164 +13919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.50588069 +13920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.433382282 +13922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.432393766 +13923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.82264907 +13921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.552891597 +13925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.996432215 +13927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.783854268 +13926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.178687074 +13924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.08685072 +13929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.542758196 +13928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.911596458 +13930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.845664618 +13931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.53184919 +13932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.663701849 +13933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.174949286 +13935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.46924846 +13936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.465764678 +13938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.07184088 +13937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.563634916 +13939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.725124704 +13941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.84682296 +13940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.83083742 +13934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 13.11205574 +13942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.00086125 +13943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.97059222 +13944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.60200888 +13946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.555541478 +13945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.970151347 +13947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 13.44578711 +13948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.060057134 +13951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.638384377 +13949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.989109361 +13952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.708187968 +13950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.087566266 +13954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.430804911 +13953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.264158075 +13955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.597591268 +13956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.811760576 +13957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.589958469 +13960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.19331419 +13961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.907199158 +13959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.50437297 +13962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.573880389 +13958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.783842053 +13963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.104665197 +13964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.524789131 +13965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.725575028 +13968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.399518356 +13969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.782151394 +13971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.278787281 +13970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.286523963 +13966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.896697257 +13967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.406731215 +13972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.655341002 +13973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.06097096 +13974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.618697063 +13976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 8.46989385 +13975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.5955659 +13978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.49555704 +13979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.31952328 +13977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.126571726 +13981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.795729761 +13980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 12.19923238 +13982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.6337821 +13984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.11538922 +13985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 4.63089151 +13983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.360043498 +13986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.637982669 +13988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.74723918 +13989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.837705588 +13987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.89507869 +13990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.715570939 +13993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.363424606 +13991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 10.43019213 +13994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 6.561391201 +13992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.18186708 +13995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 11.71000287 +13996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.497507424 +13998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 9.762181391 +13997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.103315525 +14000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 7.832837324 +13999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 5.984693077 +14001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.117002767 +14002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.21097358 +14003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.200973394 +14004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.180650712 +14005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 14.35424637 +14008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.78563966 +14009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.256532437 +14007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.266400723 +14006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.780380065 +14012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.9780204 +14011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.441135807 +14010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 3.767187332 +14013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.499676729 +14014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.583961445 +14015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.911077853 +14016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.3407675 +14017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.0199598 +14018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.334429206 +14019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.947443179 +14022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.632629881 +14020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.04765149 +14023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.204915005 +14021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.894627726 +14024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.312892455 +14027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.1897789 +14025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.789777977 +14028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.34594682 +14026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.75116553 +14030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.367604131 +14031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.041338966 +14032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.946662195 +14029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.215035426 +14035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.571677758 +14036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.399261982 +14034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.074770254 +14033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.083915559 +14037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.67232478 +14039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.994690612 +14038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.611507721 +14040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.291314144 +14044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.87516749 +14042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.535954585 +14046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.135685964 +14045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.0111399 +14041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.143488841 +14048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.794544116 +14043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.51931288 +14047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.218217333 +14049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 3.817913064 +14051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.792099113 +14053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.547850434 +14050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.254020882 +14052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.790335696 +14054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.125375903 +14055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.470338304 +14057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.77822249 +14056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.76583404 +14060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.053467254 +14059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 14.40217672 +14061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.322077509 +14062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.387648235 +14063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.677945853 +14058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.48625101 +14064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.486971191 +14068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.439482079 +14066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.53251802 +14065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 13.69076607 +14069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.932990399 +14067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.794806931 +14071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.986330785 +14070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.602215226 +14073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.921002569 +14072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.77096586 +14074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.061221509 +14076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.410957455 +14077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.49076001 +14075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.486658487 +14079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.685689458 +14078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.565127975 +14081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.859684082 +14080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.43306072 +14082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.117606386 +14083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.277366663 +14084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.63809576 +14085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.662705525 +14086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.464770302 +14087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.403222295 +14088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.641267702 +14092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 2.241667809 +14089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.616749286 +14091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.84474858 +14090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.230009784 +14093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.501735662 +14094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.544959394 +14095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.437912043 +14096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.545991796 +14099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.18540279 +14097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.592008233 +14098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.40668287 +14100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.79761471 +14101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.640486826 +14102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.342057096 +14104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.444978364 +14105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.409232297 +14106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 3.855557604 +14103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.09471768 +14108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.469432175 +14109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.19090467 +14111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.973181528 +14110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.79987837 +14107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.705875451 +14112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.581276404 +14113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.085218899 +14114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.527528 +14115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.87623528 +14116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.15698326 +14118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.717459032 +14120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.14067574 +14119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.428682162 +14121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.614051391 +14123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.875896946 +14117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.306162184 +14124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.086429804 +14122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.507938554 +14126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.060803436 +14125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.569889618 +14130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.677264553 +14128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.03522742 +14129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.003734801 +14127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.48589589 +14131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 3.519736282 +14132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.03564807 +14133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.52385954 +14134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.645173037 +14135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 3.95339471 +14137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.835843568 +14136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.616013416 +14140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.539323729 +14138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.900286525 +14139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.56238753 +14142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.1753397 +14141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.03110037 +14145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.249501877 +14144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.697522467 +14143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.911417107 +14146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.601191494 +14148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.035130226 +14150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.70633133 +14151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.762555926 +14147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.300983054 +14149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.01344732 +14152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.733812325 +14153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 3.244242015 +14154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 3.372548124 +14155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.652632882 +14156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.403512871 +14161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.377163268 +14159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.726586114 +14160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.53604469 +14157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.758770525 +14158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.226363259 +14163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.174391838 +14162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.80329463 +14164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.705013391 +14165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.7512311 +14167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.642355352 +14168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.690625261 +14166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.580678314 +14169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.224761054 +14170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.679127668 +14171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.399759458 +14172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.327361109 +14173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 3.455136632 +14176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.325059493 +14174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.712026325 +14175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.612408787 +14177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.33514207 +14179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.603262136 +14180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.801677 +14183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.7637749 +14181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.294292044 +14182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.07660418 +14184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.17136381 +14178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.155638438 +14185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.13405987 +14187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.815293302 +14186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.39317135 +14188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.528623164 +14189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.964204229 +14190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.80774935 +14191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.020303891 +14192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 3.513824276 +14193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.483711273 +14195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.8578795 +14194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.19918404 +14196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.07377817 +14197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.197599087 +14198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.363952523 +14200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.654704287 +14199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.492034949 +14203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.69697336 +14201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.784730742 +14202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.874787894 +14205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.92629136 +14206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.97989654 +14204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.544024824 +14207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.979672881 +14208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.10134418 +14209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 3.812455666 +14211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.37929666 +14212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.065591243 +14213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.888571151 +14210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.37944688 +14214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.979692468 +14215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 13.04485905 +14217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.263664754 +14218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.06328749 +14219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.860319347 +14220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.56678206 +14216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.931094355 +14222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.218774313 +14221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.845761871 +14223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.591671141 +14224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.289061743 +14226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.9405807 +14227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.453554263 +14228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.788054943 +14225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.69859756 +14229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.143299806 +14231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.48159659 +14232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.499806018 +14233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.074549364 +14230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.706724642 +14235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.465696786 +14236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.400778346 +14237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.78548039 +14234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.12451898 +14239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.466810163 +14238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.709599279 +14240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.92300843 +14242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.453694165 +14245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.547596493 +14243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.26796448 +14241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.670693246 +14244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.225201745 +14248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.09526423 +14247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.64373438 +14246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.50891863 +14249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.961128691 +14250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.683427567 +14253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.832168062 +14251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.765894389 +14256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.011673624 +14254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.07214448 +14252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.25607958 +14255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.09270687 +14258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.098229715 +14257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.95679177 +14259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.795790493 +14261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 13.1070312 +14262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.30545742 +14263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.89285386 +14265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.51434128 +14260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.113777675 +14266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.614359163 +14264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.282736274 +14267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.790950907 +14268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.61825096 +14269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.035486 +14270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.642591092 +14272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.425722257 +14273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.984693017 +14274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.513483707 +14275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.33344215 +14271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.644601518 +14276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.201241042 +14277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.904425498 +14278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.46522461 +14279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.820571178 +14281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.08709394 +14280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.63983013 +14282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.527165966 +14284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.672525589 +14286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.210005184 +14287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.596503614 +14285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.83570576 +14283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.509980283 +14289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.741849667 +14288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.863004381 +14290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.786389131 +14291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.304211851 +14292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.62708244 +14293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.02538401 +14295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.512588702 +14296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.97487791 +14298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.196008977 +14294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.017881241 +14297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.786086786 +14299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.299832296 +14301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.543500381 +14302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.528977168 +14303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.02433346 +14300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.090628168 +14304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.36006463 +14305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.36140379 +14306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.46533382 +14307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.703785678 +14309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.937315945 +14308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.277865234 +14310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.302642028 +14311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.810418494 +14312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 3.966384224 +14313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.276337706 +14315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.091720785 +14314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.20189378 +14316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.74243142 +14317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.52841395 +14319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.091463447 +14320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.625370071 +14322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.027914171 +14318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.445018272 +14323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.70408819 +14321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.80330851 +14325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.72298047 +14324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.631848391 +14328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.810586958 +14330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.673487836 +14329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.108476694 +14327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.6914354 +14331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.532237881 +14326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.434674566 +14332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.24600001 +14333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.647140669 +14334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.86190652 +14335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.145058317 +14337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.81087445 +14336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.2431504 +14339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.912262863 +14340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.627564618 +14338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.651978477 +14341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.462131627 +14343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.074308374 +14344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.276893462 +14342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.94758551 +14345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.256702434 +14346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.26126508 +14347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.461050257 +14348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.822335573 +14349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.354609634 +14350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.895550424 +14352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.83649388 +14353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.597057973 +14351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.239546573 +14355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.84298455 +14357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.28007372 +14354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.841776754 +14356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.483155264 +14359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.698850631 +14358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.00666289 +14360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 3.651546848 +14361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.011081873 +14362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.155575184 +14363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.472431419 +14364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.53199732 +14365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 13.55569992 +14367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.49846627 +14366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.502904782 +14369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.66400379 +14368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.674876336 +14370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.845028764 +14371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.233370563 +14373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.920395231 +14372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.347968001 +14375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.37686374 +14377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.48037243 +14378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.282281908 +14376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.25641177 +14379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.746669295 +14380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 13.08994732 +14381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 3.760422809 +14374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.263854112 +14383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.712313369 +14382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.131243513 +14384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.491643881 +14385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 3.449313255 +14386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.261547341 +14388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.46030371 +14387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.716101781 +14389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.22390423 +14390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.605426946 +14392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.217376863 +14391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.701175361 +14394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.984124037 +14395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.450646636 +14397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.315040147 +14393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.445376545 +14396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.875042661 +14399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.109867297 +14398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.730560485 +14400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.419356891 +14401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.72408248 +14405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.45984933 +14402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.877584337 +14404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.27352288 +14406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.89979637 +14403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.423856134 +14407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.004223548 +14409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.436339166 +14408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.56410035 +14411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.293133303 +14414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.92431637 +14412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.212186194 +14413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.951994786 +14410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.184759539 +14415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.531351964 +14416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.463123972 +14418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.06597061 +14417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.925994137 +14420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.352889134 +14421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.356349363 +14422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.42237214 +14423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.71405586 +14424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.596642868 +14419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.778994758 +14425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.32930283 +14427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.899484712 +14426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.69588073 +14428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.749138167 +14430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.02149385 +14431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.0161041 +14429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.253947732 +14432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.854441609 +14433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.699952625 +14436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.91740801 +14434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.25699706 +14437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.689068246 +14438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.3128875 +14439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.669621998 +14435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.173333048 +14440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.52262947 +14441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.047137263 +14442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.41099669 +14443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.073429514 +14444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.870501108 +14445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.346962273 +14447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.902302881 +14446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.63189366 +14449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.385979295 +14450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.294712702 +14448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.812686694 +14453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 15.57237932 +14451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.482597287 +14454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.39566812 +14455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.897197337 +14456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.744914201 +14452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.442073282 +14457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.41508358 +14458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.164324228 +14459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.96295067 +14460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.41644024 +14462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.19300891 +14463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.059295612 +14461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.992719165 +14464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.968611741 +14465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.529187881 +14467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.442049155 +14466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.893619629 +14468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.036838696 +14469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.44893594 +14472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.14415927 +14470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.141532322 +14471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.441632243 +14474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.274367443 +14473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.9550182 +14476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.511755387 +14475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.20576367 +14477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.161468401 +14479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.0409023 +14481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.31413269 +14482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.15280152 +14478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.826933348 +14480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.70700723 +14484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.887603521 +14483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.767688696 +14486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.26428724 +14485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.700896742 +14487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.08596507 +14488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.727562433 +14489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 1.203456381 +14490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.556947832 +14491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.271889812 +14492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.15308031 +14493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 15.64772465 +14495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.961165996 +14494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.43568434 +14496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.210324352 +14497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.666414634 +14499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.37611856 +14498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.310888945 +14500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.90806838 +14501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.357629109 +14502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.684231978 +14504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.04005247 +14503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.23335054 +14505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.85080081 +14506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.405171029 +14507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.743407384 +14508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.813000956 +14510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.87908645 +14509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.919481175 +14511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.29766633 +14512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.185948977 +14513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.75577313 +14514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.329225432 +14516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.916961751 +14517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.612449966 +14518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.45865817 +14520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.797827652 +14519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.80754196 +14515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.366062583 +14522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.609124122 +14521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.489044426 +14523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.673298514 +14525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.007876623 +14524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.05317084 +14528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.99190491 +14527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.159696532 +14526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 13.98594202 +14529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.981326899 +14530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.53155232 +14532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.313935324 +14533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.957795462 +14531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.286419552 +14534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.904567511 +14535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.555465199 +14536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.2049425 +14537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 3.798475248 +14538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.88536083 +14539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.34362573 +14540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.994030853 +14541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.96570686 +14545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.240530347 +14544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.085085336 +14543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.906776486 +14542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.602188894 +14546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.675442771 +14547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.061943307 +14549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.245880409 +14548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.014353769 +14551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.43759852 +14552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.456518782 +14553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.603735078 +14550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.745126561 +14555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.10273989 +14554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.01552895 +14557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 13.78723348 +14556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.133657051 +14558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.06304792 +14559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.901459459 +14560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.831461332 +14561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.57590501 +14564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.819182669 +14563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.585108443 +14562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.90050168 +14565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 3.817566215 +14566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.243167977 +14567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.23650488 +14568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.30529081 +14569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.512840656 +14570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.282619893 +14571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.130692245 +14572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.314128256 +14573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.296046233 +14574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.250709611 +14576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.828019563 +14575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.42266552 +14578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.019911629 +14581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.164679968 +14579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.343474182 +14580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.098667464 +14577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.329343554 +14583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.823790105 +14582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.146590668 +14584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.347635002 +14585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.397185606 +14586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.91076842 +14587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.34981793 +14588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.688234779 +14589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.802173698 +14590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.96769064 +14592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 2.932233179 +14591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.372650318 +14593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.044877961 +14595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.002543814 +14596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.072149688 +14594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.888722196 +14598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.907590836 +14597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.191939462 +14599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.512715496 +14600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.74517269 +14601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.491869845 +14602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.211326025 +14604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.40222265 +14603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.570688551 +14605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.441056053 +14607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.436307603 +14608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.89521676 +14606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.335526844 +14609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.535337006 +14612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.279324254 +14614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.514922487 +14611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.77589606 +14613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.990447111 +14610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.293540594 +14615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.633765223 +14616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.78250284 +14617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.455424354 +14618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.431552023 +14621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.63138087 +14619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.475928332 +14620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.31840798 +14622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.17723523 +14623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.599098685 +14625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.448394178 +14624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.76045452 +14626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.418156806 +14628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.173406412 +14629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.135406347 +14627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.880175301 +14632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.634037892 +14631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.91309248 +14630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.051900463 +14636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.43233666 +14635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.813192148 +14633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.192463546 +14634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.579462824 +14637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.434193857 +14639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.09088841 +14640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.152092963 +14641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.952969196 +14638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.043242039 +14642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.933713915 +14644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.667249531 +14646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.264573417 +14643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.496753137 +14649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.254086496 +14647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.890128652 +14650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.53461663 +14645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.62746997 +14648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.567062071 +14651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.97196674 +14652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.866688238 +14654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.50465123 +14653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.58243402 +14657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.07300507 +14658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.277216507 +14655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.321802163 +14656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.95935289 +14659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.835917446 +14661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.01393588 +14660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.270625367 +14662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.524414539 +14663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.564603267 +14664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.752463179 +14665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.601210329 +14666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 14.77315302 +14668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.25514115 +14667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.295113059 +14669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.853045831 +14673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.02160762 +14670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 3.451980968 +14672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.034271182 +14671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 3.963442662 +14675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.827938068 +14676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.013927137 +14678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.85500249 +14680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.685082729 +14674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.902020663 +14679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 3.576653991 +14677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.804937414 +14681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.850020984 +14682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.04699877 +14683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.20271319 +14685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.277913342 +14688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.88392915 +14686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.637316827 +14684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.97826246 +14689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.593993458 +14690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.685084169 +14691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.134182726 +14692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.16393934 +14694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.085150205 +14693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.116240692 +14687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.72043916 +14695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.079760742 +14696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.189777611 +14697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.838479158 +14698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.072494152 +14700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 13.5925229 +14701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.01086739 +14699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.095872727 +14703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.60581849 +14705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.334430199 +14706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.541501857 +14702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.015940567 +14707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.759935158 +14704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.206851649 +14709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.257785031 +14710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.231821774 +14708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.295080938 +14711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.165480931 +14713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.95627254 +14712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.22395976 +14715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.600450758 +14716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.380107019 +14717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.121145086 +14718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.465934058 +14714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.076806558 +14719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.30951553 +14722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.486806 +14724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.244003274 +14723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.857370502 +14725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.423061344 +14726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.280381652 +14721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.272309152 +14720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 13.53897223 +14727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.379467306 +14730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.098504927 +14731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.92442942 +14728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.836476457 +14729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.564858957 +14735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.088825433 +14733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.242924831 +14732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.66456662 +14736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.068016163 +14737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.507452126 +14739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.653798304 +14734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.123417895 +14740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.143231019 +14742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.5327466 +14738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.769127378 +14741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.29886811 +14743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.912880541 +14744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.875258394 +14746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.845067409 +14747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.417915402 +14748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.444673016 +14749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.913784286 +14750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.401366481 +14745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.263150249 +14751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.050069364 +14752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.0050044 +14754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.79327674 +14753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.05693155 +14756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.403242194 +14755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.916313863 +14759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.180055281 +14758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.471692977 +14757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.2313443 +14760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.791395478 +14763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.216325421 +14762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.933341374 +14761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.658732002 +14764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.859149325 +14767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.150885793 +14765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.987632434 +14766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.889111408 +14768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.602552519 +14769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.008158564 +14771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.404653636 +14772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.859618055 +14770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.085039961 +14773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.946949375 +14775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.350516776 +14774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.794433812 +14776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.423583209 +14777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.836717185 +14779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.660153643 +14780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.444664074 +14781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.98564297 +14782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.30025477 +14783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 16.00136369 +14784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.579303537 +14778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.153039105 +14785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.890151733 +14787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.16884778 +14788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.423100451 +14790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.645631865 +14786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.630349482 +14789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.17740739 +14791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.171787505 +14792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.62369754 +14794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.459790371 +14795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 14.14262755 +14798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.283193445 +14797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.905921887 +14793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.001984959 +14799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.005473205 +14796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.013655 +14801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.15421679 +14800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.443341724 +14802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.136497458 +14804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.864218581 +14805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.501927061 +14803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.961057348 +14806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.301136494 +14807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.957983921 +14808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.81731239 +14810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.955681179 +14812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 2.49938419 +14811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.97170742 +14813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.387200109 +14809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.937167338 +14814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.73135916 +14815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.548421768 +14816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.75782945 +14818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.775262142 +14817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.300137835 +14819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.914368755 +14820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.511505938 +14822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.26574375 +14821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.134215078 +14823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 14.06537685 +14824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.29966999 +14825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.297289584 +14826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.11033023 +14829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.892717477 +14827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.209188364 +14828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.977139553 +14831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.07189186 +14833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.497865748 +14832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.282770715 +14830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.896317024 +14834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.133301461 +14835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.330026254 +14836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.210424737 +14837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.325605096 +14838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.61797967 +14839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.389580959 +14840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.639582626 +14841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.431433129 +14842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.223973281 +14843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.993090434 +14844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.80007908 +14847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.15130645 +14848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.38167348 +14845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.82335498 +14849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.823597178 +14850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.859577905 +14851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.994036526 +14846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.05450941 +14855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.650944457 +14854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.496381032 +14853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.520550062 +14856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.869896943 +14857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 13.16667021 +14858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.724371502 +14859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.862056778 +14861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.965764264 +14862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.683422701 +14860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.892316635 +14864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.020249925 +14852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 13.87913049 +14865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.37317732 +14863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.29983781 +14866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.471959495 +14867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.52775045 +14868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.811724622 +14869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.24283946 +14870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.704184841 +14871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.422840036 +14873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.189140172 +14872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.411625484 +14874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.93437365 +14875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.338043637 +14877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.21733864 +14876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.790377829 +14878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.325356381 +14879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.373710122 +14881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.896672651 +14882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.11902591 +14880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.929353465 +14883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.493216153 +14885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.54274711 +14884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 3.96304376 +14887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.390070618 +14886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.487912408 +14889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.132593561 +14888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.09366666 +14890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.402500677 +14893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.021265369 +14894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.677005415 +14892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.559285857 +14895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.6924512 +14896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.286028876 +14891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.349471267 +14897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.724495494 +14898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.483421195 +14899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 13.64717975 +14900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.0242244 +14902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.53918138 +14901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.15194901 +14905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.589290244 +14903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.013881465 +14904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.100130184 +14906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.711723189 +14908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.734827243 +14907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.438935363 +14909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.932960939 +14911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.767773239 +14912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.118602901 +14910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.835043282 +14913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.078751935 +14914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.887717431 +14916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.96145746 +14918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.16677669 +14915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.58576373 +14917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.361145828 +14919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.70448228 +14920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.905869641 +14921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.511480106 +14922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.364077066 +14923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.94700049 +14926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.815103376 +14925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.837822274 +14924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.610479461 +14927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.640927634 +14928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.62322212 +14929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 14.59897041 +14931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.778908701 +14930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.274568399 +14933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.90018817 +14932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.474097795 +14935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.728942565 +14936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.06746367 +14934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.324297487 +14937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.24920053 +14938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.857630897 +14939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.372911186 +14940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.986562261 +14941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.54403099 +14942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.273216764 +14943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.837562761 +14944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.090687905 +14945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 3.191286983 +14946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.075223132 +14948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.527226854 +14947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.05604954 +14949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 2.890378668 +14950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 14.01159436 +14951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.584970547 +14952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.999480581 +14953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.55305035 +14954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.5858726 +14955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.894131316 +14956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.604829453 +14957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.085243217 +14958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.71659784 +14959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.41732754 +14960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.27088237 +14962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 3.216016776 +14963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.225959241 +14961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.060192559 +14965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.861347926 +14966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.306392316 +14964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.380255841 +14968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.623905771 +14967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.187103333 +14969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.169483908 +14970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.351380458 +14972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.691074616 +14971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.211209954 +14973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.902339747 +14974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.833195113 +14975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.00175017 +14976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.206495923 +14977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.35364083 +14978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.245511192 +14979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.59220432 +14980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.002673995 +14983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.256306133 +14984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.28578215 +14982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.632046769 +14981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 12.44401779 +14986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 7.452568038 +14985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 11.69064091 +14987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.278128636 +14988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.447992768 +14989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.822091474 +14990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.140187341 +14991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.681967059 +14992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.824867266 +14993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 10.35959914 +14994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 4.531003773 +14996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.705939344 +14995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.639853997 +14997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 9.16711846 +14999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 8.02069244 +14998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 6.375553991 +15001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.11231965 +15000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 5.463096091 +15002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.643408397 +15004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.64218021 +15003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.0623556 +15005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 4.045012422 +15007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.944092414 +15006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.01963745 +15008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.067325117 +15010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.479482968 +15011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.07890557 +15012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.918885563 +15014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.278931284 +15013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.384296916 +15009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.59037479 +15015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.399591506 +15016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.178034264 +15017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.015325411 +15018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.860017886 +15019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 4.160004717 +15021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.20763677 +15020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.170254938 +15023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.955725375 +15022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.436678634 +15024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.837890162 +15026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.268006752 +15025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.692639129 +15027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.967745337 +15028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.652314406 +15029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.02428414 +15030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.834663624 +15032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.718097135 +15033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.93262999 +15034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.768185278 +15035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 13.12574317 +15031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.059783862 +15036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.576032911 +15038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.45018041 +15037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.90291171 +15039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.156265302 +15041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.62469118 +15040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.21269435 +15042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.871115585 +15043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.331483794 +15045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.271875415 +15044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.552689435 +15046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.677560279 +15047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.829547585 +15049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.25397931 +15048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.027460787 +15050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.120594612 +15054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.27561776 +15052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.889121722 +15051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.445832871 +15053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.106389646 +15056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.660474659 +15055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.179653216 +15057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.10894148 +15058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.591415365 +15060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.789011261 +15061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 4.562418723 +15062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.20795837 +15059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.05943406 +15063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.494529581 +15064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.24841429 +15065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.595614239 +15066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 14.07784987 +15067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 4.659975286 +15068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.339805357 +15069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.25891571 +15072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.53124142 +15071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.513865484 +15070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.483566925 +15073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.659719702 +15074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.847723059 +15075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.840621677 +15076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.94094989 +15078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.310028729 +15077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.254513288 +15079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.053643254 +15080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.565920177 +15081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.53436903 +15082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.801336492 +15085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.668179881 +15084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.16022988 +15086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.471666596 +15087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.81468891 +15083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.282260444 +15089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.094066531 +15088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.942334241 +15090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.854893797 +15092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.084502645 +15091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.92948371 +15094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.94436505 +15093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.611540081 +15095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.782402034 +15096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.545795293 +15097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.166772283 +15098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.906931762 +15100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.556675696 +15102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.069355142 +15101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.12447092 +15099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.777277789 +15103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.62592165 +15104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.194574809 +15106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.607650006 +15109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.72753995 +15108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.579763876 +15111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.587232449 +15105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.719531926 +15112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.735352171 +15107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.17854395 +15110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.067001749 +15113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.945585476 +15114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.531203798 +15116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.62841654 +15118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.806941215 +15120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.351065551 +15119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.15331727 +15115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.847772739 +15117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.39073116 +15121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.79733693 +15123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.848788297 +15122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.39082509 +15124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.180685689 +15125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.905009661 +15126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.739483238 +15127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.694531354 +15128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.014481953 +15130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.975793895 +15131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.325859933 +15129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.42857442 +15132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.82308208 +15133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.681920733 +15134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.182627211 +15135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.918081351 +15136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.640322601 +15137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.303671693 +15139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.507565894 +15138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.158715957 +15141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.151153209 +15140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.63035816 +15142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.481229452 +15143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.36009082 +15144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.1995927 +15145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.618639664 +15147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.088254974 +15146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.190581909 +15149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.814962737 +15150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.184689997 +15148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.285428506 +15151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.754212596 +15154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.63146521 +15153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.55196606 +15152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.219768239 +15155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.840253019 +15158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.164179388 +15157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.615221475 +15156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.569183373 +15159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.66495563 +15160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.577896643 +15161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.035844283 +15163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.541159366 +15162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.000261494 +15165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.466775669 +15164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.312636503 +15167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.087507026 +15166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.44417671 +15168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.99121147 +15169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.498319724 +15172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.810784625 +15173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 13.14228187 +15170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.70210153 +15171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 12.04336703 +15174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.088779955 +15176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.125633322 +15177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.839938213 +15175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.085660233 +15178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.847975684 +15179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.010675146 +15180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.797626638 +15182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.571643572 +15181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.950843431 +15184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.970346678 +15183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.968892849 +15185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 4.552284484 +15186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.459235767 +15187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.26315421 +15188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.613260668 +15189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.563728489 +15190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.813802604 +15193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.059170536 +15192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.897742696 +15191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 13.84960439 +15194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.067305379 +15195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.56960035 +15196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 12.45558678 +15197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.984148573 +15198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 13.44620638 +15200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.673069156 +15199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.374282815 +15201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.832020898 +15203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 12.74597725 +15202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.06111227 +15204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.216980242 +15205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.290266039 +15207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.21472391 +15208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.357080543 +15209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.27409801 +15206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.383584942 +15211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.917331142 +15210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.50671982 +15213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.63224103 +15212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.497012081 +15214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.559782709 +15215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.272722138 +15216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.51397878 +15218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.266672893 +15219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.031079455 +15217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.381153042 +15221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.280114913 +15220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.02335308 +15222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.4376778 +15223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.485975884 +15224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.406277213 +15226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.195333969 +15225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.109927341 +15227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.812487689 +15228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.742038265 +15231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.350035944 +15230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.16770147 +15232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.76839454 +15229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.295887576 +15233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.286381058 +15234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.065220662 +15238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.057308149 +15237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.409872307 +15240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.268834542 +15236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.665257263 +15239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.099185819 +15241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 13.06600808 +15235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.792688326 +15242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.10216791 +15244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.773400637 +15243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.528290648 +15245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.537437238 +15247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.44576096 +15246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.03262021 +15248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.620421695 +15250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.823599206 +15249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.844357732 +15251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.745382355 +15252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.203198637 +15253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.677702101 +15256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.210856182 +15255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 4.797550765 +15254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.311604025 +15257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.945737393 +15258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.751735961 +15259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.39957666 +15261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.78466443 +15260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.07770886 +15262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.08056075 +15263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.56239004 +15264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 12.92664797 +15265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.932922597 +15267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.163601744 +15266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.988347469 +15269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.328171368 +15270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.04890201 +15272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.637108262 +15271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.545199163 +15268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.287775213 +15273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.185875061 +15274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.250108347 +15275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.45576074 +15276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.78883721 +15277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.71339828 +15279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.822244157 +15278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.119276007 +15280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.095832163 +15281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.5342559 +15282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.06174353 +15283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.918911194 +15284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.664594263 +15286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.117770133 +15285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 4.505061707 +15287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.34470667 +15288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.223931513 +15289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.023412302 +15291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 12.12236347 +15292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.14995373 +15290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.40556217 +15293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.333988652 +15294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.44780596 +15296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.760185502 +15295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.910971251 +15297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.795919254 +15299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.329176662 +15300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.39523461 +15301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.96353945 +15298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.798265142 +15302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.675613978 +15304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.582512862 +15303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.835083655 +15305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.593398259 +15306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.987221728 +15307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.428768451 +15308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 13.85401668 +15309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.083404894 +15310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.86831773 +15312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.283537159 +15313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.203036578 +15314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.639528494 +15315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.362590434 +15316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.504662201 +15317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.121690383 +15311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.940890389 +15318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 3.625980651 +15319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.427420489 +15321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.077719592 +15320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.300717542 +15322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.659851907 +15323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.83309202 +15325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.463882895 +15324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.450482401 +15328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.97553248 +15329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.239614557 +15327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 13.5451583 +15330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.265128942 +15331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.071260643 +15326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.496510241 +15334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.309654841 +15332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.96535153 +15333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.019296175 +15335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.369154518 +15337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.00154697 +15336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 12.22445639 +15338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.156827772 +15339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.608429814 +15341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.006594159 +15343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.057676592 +15342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 14.00951299 +15340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.938767886 +15345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.590449217 +15344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.24858623 +15346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.571743899 +15348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.437772093 +15349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.060582663 +15351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.008257293 +15352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.503122441 +15353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.590221612 +15347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.67939138 +15350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.51451891 +15354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.392269207 +15356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.679427253 +15357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.30224202 +15358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.799461968 +15360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.749204638 +15359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.517977925 +15355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.55290992 +15361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 13.42503597 +15362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 12.04495217 +15363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.740332728 +15365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.191029127 +15367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.688879329 +15368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 4.769152941 +15364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.662667832 +15366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.949931914 +15370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.274146053 +15371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 12.27161993 +15369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.20224515 +15372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.088622497 +15373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.270462261 +15375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.96911405 +15374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.649297357 +15376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 12.22367839 +15377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.251245146 +15378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.1150251 +15379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.339880445 +15380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.487804369 +15383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.410716251 +15382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.733387057 +15381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.642373444 +15384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.251788077 +15385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.475794692 +15386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.47391821 +15388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.473552872 +15389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 3.510761388 +15390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.84484181 +15391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.71754271 +15392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 4.898217637 +15393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 4.490741787 +15387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.1022035 +15394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 3.418811389 +15395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.238541506 +15396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.215533406 +15397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.294740579 +15398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.052120775 +15399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.453685426 +15400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.13936308 +15401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.106769794 +15402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.945953012 +15404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.483046856 +15405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.40873856 +15403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.83382863 +15406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.199386441 +15408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.850366631 +15407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.363017472 +15409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.211503411 +15410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.112426648 +15411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.796598753 +15413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.30894774 +15414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.27846533 +15415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.94950002 +15412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 13.36351395 +15416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.214214944 +15418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.229258781 +15420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.628478445 +15417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.74713922 +15424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.599400405 +15421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.497535129 +15419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.921979489 +15423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.760089442 +15422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 3.435459701 +15425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.170853864 +15426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.342275 +15429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 4.196549305 +15430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.705267904 +15428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.579140589 +15431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.319349456 +15427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.1578059 +15432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.338023313 +15433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.24965252 +15434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.992012078 +15436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.455894553 +15435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.571367365 +15437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.291969982 +15440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 2.994497331 +15438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.936497739 +15439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.968667946 +15441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.609138909 +15442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.083652982 +15444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.78464126 +15445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.268538337 +15443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 3.786931219 +15446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 4.028456199 +15447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.70792714 +15448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.41911354 +15449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.667902522 +15450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.114995483 +15451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.477087494 +15452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.97919126 +15454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 4.061189313 +15455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.704169225 +15453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.589444688 +15457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.905580402 +15456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.560125652 +15458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.4549457 +15459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.764074697 +15460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.448835595 +15462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.101349586 +15461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.29319652 +15463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.636324027 +15464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.642450444 +15466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.66292148 +15468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.959481278 +15467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.479306012 +15469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.990582715 +15470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.477238331 +15465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.966869103 +15471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.733936755 +15472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.5009211 +15474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.213407868 +15473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.751697338 +15475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.891360425 +15476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.991449205 +15478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.765721429 +15477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.411010904 +15479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 12.53601934 +15480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.30233137 +15481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.49603918 +15482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.97520482 +15483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.964331421 +15484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.720426363 +15485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.39457802 +15486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.427825221 +15487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.637743448 +15488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.56965484 +15489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.165778968 +15490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 4.617178769 +15491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.62902544 +15492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.585568869 +15493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.764902522 +15494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.175942788 +15495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.545805388 +15496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.06139065 +15497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.939274478 +15498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.1146754 +15499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.05126379 +15500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.195732077 +15503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.676355015 +15504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.359352129 +15502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.89305613 +15506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.375942576 +15501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.809268732 +15505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.295620476 +15507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.19265182 +15508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.702383191 +15510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.268568983 +15511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.120513535 +15513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.124634592 +15509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 2.373854361 +15512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.402805696 +15514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.473561551 +15515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 3.905073646 +15516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.441946104 +15517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.15927658 +15518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.789700787 +15520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.447798193 +15519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.109079626 +15521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.779396537 +15522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 4.771558935 +15523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.986611262 +15524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.73333685 +15525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.12336849 +15526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.20588455 +15529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.61218068 +15527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.233078231 +15530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.755123609 +15531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.33020815 +15528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.676546773 +15532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 13.70108776 +15533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.069613301 +15534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.815631333 +15537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.01047382 +15536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.861886918 +15535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 4.673901162 +15538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 12.60568303 +15539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.938430588 +15540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 12.37076427 +15543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.651272601 +15541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.439332482 +15542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.321418585 +15545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.77277363 +15546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.288282577 +15544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.95355391 +15548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.020576781 +15551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.490422343 +15550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.003299452 +15549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.333747931 +15553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.0165141 +15547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.369323679 +15552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.643640451 +15554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.362773936 +15555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.503417364 +15558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.838512246 +15557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.480125194 +15556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.26281204 +15559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.334177343 +15561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.289492826 +15560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.163098671 +15562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.06462487 +15563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 4.858777226 +15564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.574375893 +15565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.591476014 +15567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.800200393 +15568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.587512893 +15566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.170986044 +15570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.017689016 +15569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 4.59088846 +15571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 4.358411645 +15572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.216808177 +15573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.830030545 +15574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.664015447 +15576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.02831817 +15575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.882278661 +15578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.724506293 +15577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.442375094 +15579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 4.9311031 +15581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.052419426 +15580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.383017571 +15582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.306360966 +15583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.13399304 +15584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 4.624552256 +15587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.047523905 +15586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.410949671 +15588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.670322397 +15585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.297239895 +15589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.608853756 +15591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.010244679 +15590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.571502294 +15592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 13.93884464 +15593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.357723825 +15594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.538674594 +15596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.264261283 +15597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.290627239 +15595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.117494441 +15599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.35263185 +15600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.24667226 +15598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.417007276 +15602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.655793559 +15605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 3.117840005 +15603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.538072422 +15601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.79437505 +15607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.032655605 +15606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.883802256 +15604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.773552926 +15608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.23633279 +15610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.77849583 +15609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 4.280294444 +15611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 13.31461349 +15612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.828344129 +15613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.936516552 +15614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.788338513 +15615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.334205356 +15616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.042826889 +15618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 4.556005837 +15617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.166425695 +15621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 13.21196456 +15622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.926346398 +15620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.349762177 +15623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.666757272 +15619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.0713735 +15624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.76311291 +15625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.906873838 +15626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.435963891 +15627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 12.04309508 +15628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.833179493 +15629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.39931206 +15630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 3.551333764 +15631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.663152419 +15632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.709292306 +15633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.708815357 +15636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.145533187 +15635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.845602857 +15637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.269877591 +15634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.752437 +15638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.146302707 +15639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.844439098 +15641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.245189372 +15643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 4.010801341 +15642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 4.302861435 +15640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.01894961 +15644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.331070867 +15645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.249926962 +15646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.929466126 +15649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.3074188 +15650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.455862979 +15651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.134151683 +15652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.688654581 +15648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.314680651 +15653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.716047324 +15647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.816071721 +15654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.748689405 +15655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.314186448 +15656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 4.792836017 +15657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.74839072 +15659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.888286542 +15658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.354376667 +15661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.73595843 +15662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.568664164 +15663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.626967628 +15660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.557345912 +15664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.29298597 +15665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.430500622 +15667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.705555632 +15666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.544965838 +15669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.04978143 +15668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.449964362 +15670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.26932953 +15671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.10354465 +15672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.192577436 +15673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.411997597 +15675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.72812999 +15674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.43609486 +15676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.223735068 +15677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.71146156 +15678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.383082612 +15680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.61087771 +15679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.0242426 +15681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.22798562 +15683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 2.886972831 +15682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 12.30586363 +15686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.024792025 +15684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.091778721 +15687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.606285725 +15688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.615357821 +15690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.751754164 +15689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.878300369 +15685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.110526416 +15691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 2.149457754 +15692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.480596761 +15693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 4.857495155 +15695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.933774175 +15694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.614342777 +15697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.69878799 +15696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.16685301 +15699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.464119632 +15701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.3215807 +15700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.00677679 +15698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.34507564 +15703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.922475178 +15705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.53050653 +15702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.730574414 +15704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.179804789 +15706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.931991613 +15708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.525977394 +15707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.308273399 +15710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.42270083 +15709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.29919432 +15713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 13.22888166 +15712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.047886607 +15711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.201590388 +15715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 12.7881541 +15716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.226134172 +15714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 4.350094489 +15717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.063410818 +15719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.39577974 +15718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.070498686 +15720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.22233534 +15721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.26570718 +15722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.262325838 +15723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.765817912 +15724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.86466839 +15725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 3.912990412 +15726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.807405845 +15727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.897769996 +15728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 13.76000611 +15730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.464285099 +15729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.15649133 +15731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.163675034 +15732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.002870476 +15734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.02591839 +15733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.46389056 +15735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.954063026 +15736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.898095737 +15737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.842600439 +15738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.033261555 +15740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.937667584 +15739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 12.3522834 +15742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.557718918 +15743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 4.628341186 +15741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.771124972 +15744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.164648152 +15745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.45076128 +15747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 3.509726149 +15746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.434710206 +15749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.258623745 +15750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.043187725 +15751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.90235738 +15748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.251589545 +15752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.090247021 +15753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 13.19867953 +15755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 3.769901734 +15754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.160063084 +15757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.917644726 +15759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.865991517 +15756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.491122554 +15758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.055508168 +15760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.427545099 +15761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.764566167 +15762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.497596018 +15763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.994546554 +15765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 3.544095644 +15766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 12.86336777 +15767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.30695942 +15764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.608758464 +15768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.440758846 +15769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.751697224 +15770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.839949181 +15771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 4.891165623 +15774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.73690573 +15772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.917203411 +15775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.385988064 +15773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.037175277 +15776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.891501396 +15777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.542143909 +15778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.367262822 +15779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.408800011 +15780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.7111707 +15781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.64849445 +15783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.609502074 +15782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 3.272084055 +15784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.114509628 +15785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.205929353 +15786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.97179802 +15787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 3.238920887 +15788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 2.759197281 +15789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.453592992 +15791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.999532812 +15790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.798880288 +15793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.295030535 +15792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.852758684 +15794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.039134058 +15796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 3.465638758 +15795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.662460272 +15798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.10433524 +15797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.883686708 +15800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.637955589 +15801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.361756148 +15802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 13.8815279 +15799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.04178208 +15804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.152729174 +15803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.323629544 +15805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.326170108 +15808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.908537531 +15807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.80284997 +15806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.93214188 +15809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.520783656 +15810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.149511018 +15811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.467762834 +15813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.61118939 +15812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.003122795 +15814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.66343311 +15815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.380795715 +15816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.9742292 +15817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.542861741 +15819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.138334235 +15818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.730537808 +15822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.69206357 +15820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.193071264 +15824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.825661494 +15821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.889993671 +15823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 13.44057274 +15825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.569943522 +15826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.84145827 +15827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.363657212 +15829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.656726297 +15828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.711546 +15830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 4.967634706 +15831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.998244065 +15833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.636488069 +15832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.974215202 +15834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.148210036 +15836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.822711399 +15837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.71112347 +15838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.24319695 +15835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.742898481 +15839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.785563698 +15840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.5319103 +15841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.403150867 +15842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.109250016 +15843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.54267775 +15844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.22889652 +15845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 4.691263149 +15847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.00399998 +15848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.921007785 +15846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.394876486 +15850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.938638071 +15851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.899432569 +15849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 12.80988131 +15852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.502708718 +15853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.326132814 +15855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.370493194 +15854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.794435229 +15856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.263035951 +15857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.384828544 +15860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.943737029 +15858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.36751186 +15859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.17545343 +15861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.283824552 +15863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 15.48378855 +15862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 3.375711482 +15865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.543498445 +15867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.298563828 +15866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.268740909 +15864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.780062575 +15868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.89936702 +15869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.290787831 +15870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.48481465 +15871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.991048651 +15872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.373254267 +15874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.21393358 +15873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.131964366 +15875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.115648623 +15876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.021995512 +15877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.879534251 +15879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.002521491 +15878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.366463047 +15880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.99998999 +15881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.082614837 +15882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.33206049 +15884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.460701157 +15883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.955456699 +15885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.0774119 +15887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.692086581 +15886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.053286393 +15889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.998493242 +15888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.708146391 +15890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.68007861 +15891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 4.880988864 +15892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.114888921 +15893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 4.235551828 +15894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.765895273 +15896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.79728167 +15895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.763333429 +15897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.819012865 +15899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.228884807 +15901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.12147844 +15900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.427590084 +15898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.926069743 +15902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.357272965 +15904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.241738913 +15903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.783165199 +15905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.209542381 +15907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.224808751 +15909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.540559254 +15908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.924802918 +15906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.742064761 +15910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.295755994 +15911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.919680379 +15912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.689012662 +15913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.185622716 +15914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.845175552 +15915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.817072157 +15917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.806582031 +15918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 4.088149889 +15916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.45508783 +15919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.758122688 +15920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.9515161 +15921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.989789066 +15922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.27494425 +15923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.533199946 +15924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.155817722 +15925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.066700568 +15926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.07617305 +15928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.549721749 +15929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.031713771 +15927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.17131453 +15930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.053828974 +15931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.887041237 +15932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.379052188 +15933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 12.47122454 +15934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 4.668944309 +15935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.022296837 +15936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 13.64863852 +15937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.416913346 +15938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.62583121 +15939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.358797013 +15940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.623277709 +15941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.486162504 +15942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.853108729 +15943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 4.157203737 +15944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.169470605 +15946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.2858647 +15947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.476032231 +15949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.814087071 +15948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.251366473 +15950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.846263977 +15951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 4.879551107 +15945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.220147252 +15952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.3435007 +15953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.516737332 +15954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.422403948 +15956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.98948821 +15957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.025396307 +15955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.306335721 +15958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.998751988 +15960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.137003998 +15959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.734778406 +15961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.08286749 +15963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.116615102 +15964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.184301278 +15962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 3.600348871 +15965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.635411283 +15966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 14.16129753 +15967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.23348284 +15968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.654466427 +15969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.918812867 +15970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.303340688 +15971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.694016123 +15973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.421862051 +15972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.243546228 +15974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.680696408 +15975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.16961037 +15976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.408760137 +15979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.101136454 +15978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.644700707 +15980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.86018546 +15977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.35649301 +15981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.150501183 +15982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 10.34712169 +15983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.895046475 +15985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.919627054 +15986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.058463631 +15988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.828992987 +15987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.598497077 +15990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.042966834 +15989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.803977484 +15991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.13124768 +15984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.162842957 +15995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 6.08718185 +15994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.979769228 +15993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 7.336633059 +15992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 13.28707592 +15997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.83430358 +15996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 9.337610434 +15998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 5.983970353 +15999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 8.193659173 +16001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.197173889 +16000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 11.14381988 +16002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.657374938 +16005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.37186934 +16004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.318840107 +16003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.569559135 +16006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 3.375921719 +16007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.277027351 +16009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.563427368 +16008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.52013556 +16011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.712545046 +16012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.538646961 +16010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.316550418 +16013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.37979235 +16014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.895377542 +16015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.878321293 +16016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.275881687 +16017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.315575683 +16019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.544292469 +16018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.086518534 +16020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.44492376 +16021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.22965887 +16022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.569543546 +16023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.400355312 +16028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.237996268 +16024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.142385012 +16025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.28731605 +16026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.0438485 +16027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.225295784 +16029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.740143073 +16030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.377543058 +16031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.063679908 +16035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.374837664 +16033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.520448486 +16032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 2.568917168 +16037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.579260571 +16034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.44778091 +16038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 12.3362637 +16036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.586904294 +16040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.5412065 +16041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.229957395 +16039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.755640922 +16042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.906829878 +16043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.934504861 +16044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.111239459 +16045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.17874016 +16046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.214325533 +16048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.887268848 +16049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.585168576 +16050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.485269973 +16052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.504739765 +16051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.375228266 +16047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 3.85279036 +16053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.18291479 +16054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.753185171 +16055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.402523692 +16056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.129762883 +16057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.10037931 +16059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.498200977 +16058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.316202652 +16060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.74011168 +16061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.948473312 +16062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.798058547 +16063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.158473728 +16067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.540878124 +16065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.569629514 +16066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.096086026 +16068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.147687629 +16069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.386536818 +16064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.029277497 +16070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.31041784 +16071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.63182648 +16073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.03021303 +16072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.212957085 +16074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.551450161 +16075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.733407728 +16076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.428213674 +16077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.826289315 +16078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.136506543 +16079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.848775162 +16080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 12.98934832 +16081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.395937785 +16082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.506919702 +16083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.312826518 +16084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.416012231 +16085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.909958126 +16086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 3.49595649 +16087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.87480722 +16089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.739933226 +16088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.933304784 +16090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.023785032 +16092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.735981205 +16093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.379030355 +16095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.011418921 +16094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.69318437 +16091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.770859283 +16097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.651310161 +16098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.961336271 +16099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.262538537 +16096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.168233811 +16101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.210935182 +16102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.635221861 +16100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 2.76161788 +16103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.587906207 +16105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.061520861 +16104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.845061916 +16106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.842517881 +16107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.649723257 +16108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.210914072 +16109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.352909291 +16111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.176280143 +16110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.5150472 +16112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.312564029 +16113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.41968508 +16115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.753606548 +16114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.16399915 +16116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.076554935 +16117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.99454164 +16118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.162157887 +16119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.874423996 +16120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.078683317 +16122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.38538386 +16123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.129533449 +16121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.700111914 +16125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.032745912 +16124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.075866943 +16126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.512307121 +16129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.339272366 +16127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.621958382 +16128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.820777755 +16130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.927262922 +16131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.857899533 +16132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.80378975 +16133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.013091257 +16134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.70805794 +16135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 13.7684707 +16137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.823352763 +16136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.235761487 +16138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.851953931 +16139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.656989624 +16140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.223525947 +16142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.191468879 +16141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.808748721 +16143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.37291983 +16144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.423715519 +16146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.465528237 +16147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.499297423 +16145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 12.09269381 +16148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.720133693 +16150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 3.610235406 +16149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.660200834 +16151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.46472122 +16152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.078582872 +16153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.594289112 +16154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.400793345 +16156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.50784752 +16155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.70349155 +16158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.29213141 +16157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.053461387 +16159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.961594397 +16160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.01949349 +16161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.375050573 +16162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 13.94064176 +16164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.78429292 +16163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.20024124 +16166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.597255581 +16165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.2025314 +16167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.404106887 +16168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.697295303 +16169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.815439716 +16170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.745476021 +16172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.940895402 +16173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 15.7163249 +16174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.556063973 +16171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.122674513 +16175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.88713583 +16176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.216422901 +16177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.822746337 +16178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 3.06615253 +16179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.046081024 +16181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.953233791 +16180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.882230901 +16182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.322386595 +16183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.520876305 +16184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.983222821 +16185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.355123934 +16186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.210172311 +16187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.816823724 +16189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.357853269 +16188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.001674802 +16191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.424413644 +16190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.40690887 +16192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.825683523 +16193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.5713731 +16194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.923909372 +16195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.799546579 +16196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.621187088 +16197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.756017006 +16198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.692471529 +16199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.029226204 +16201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.878087145 +16202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.8413573 +16200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 3.529117708 +16203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.635305602 +16204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 12.48315421 +16205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.11176732 +16206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.951063085 +16209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.421887946 +16210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.035337201 +16208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.707173108 +16211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.817974867 +16212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.217073362 +16207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.511027738 +16214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.661521543 +16213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.99387689 +16215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 3.317490304 +16216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.60664954 +16217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.13927725 +16218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.257943802 +16220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.139221518 +16222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.694093643 +16221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.760675536 +16219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.351538789 +16223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.104332778 +16224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.902161513 +16225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.884874414 +16226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.730855606 +16227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.100335495 +16229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.844518853 +16230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.267990877 +16228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.171401925 +16231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.66996623 +16232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.508198469 +16233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.885514138 +16234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.072583506 +16235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.463811577 +16236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.471927078 +16237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.320110839 +16239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.19588277 +16238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.72493714 +16240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.180380025 +16242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.515457417 +16241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.952550248 +16244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.856511371 +16245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.315674429 +16243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.06570099 +16246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.991221437 +16247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 3.519833209 +16249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.37566719 +16248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.674703294 +16250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.291360086 +16251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.401836238 +16252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.485528067 +16254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.79519171 +16255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.213607993 +16257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.389159922 +16256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.898188142 +16258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.597399589 +16253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.997679329 +16259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.188411018 +16260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.703809371 +16261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.674354304 +16262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.151276201 +16264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.348509798 +16265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.679661456 +16266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.318864925 +16263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.798529858 +16268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 3.206409151 +16267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.664181081 +16269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 12.44392009 +16270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 12.18274462 +16271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.914699998 +16273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.81446186 +16272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.384345551 +16274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.250699891 +16276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.669615746 +16275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.979047469 +16277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 13.87412674 +16278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.080897262 +16280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.737635755 +16279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.666525946 +16281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.174608149 +16283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.9435012 +16285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.71791847 +16284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.888758312 +16282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.131787094 +16286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.464104248 +16287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.743560905 +16288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.597372911 +16291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.725010198 +16290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.24510613 +16293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.201118535 +16294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.769311979 +16292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.83672889 +16295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.352914733 +16289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.552916689 +16296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.839768057 +16298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.196113819 +16299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.973138258 +16301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.09029395 +16300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.615952629 +16297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.50787737 +16302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.902626587 +16303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.536653435 +16304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.104823873 +16305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 3.27532145 +16308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.434990129 +16309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.5642578 +16306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.738000567 +16307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.99987903 +16310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.089376077 +16311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.334199297 +16313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.856777979 +16314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.304207915 +16316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.717996832 +16317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.04362637 +16315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.432321625 +16312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.267230753 +16318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.278640137 +16319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.632076688 +16321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.892666548 +16323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.737197548 +16324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.277309162 +16322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.564511764 +16320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.92352801 +16325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.983378999 +16326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.221804699 +16327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.88430189 +16328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.984805103 +16330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.064581162 +16329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.801750539 +16332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.833332374 +16331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.928871509 +16334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.662263633 +16333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.37838473 +16335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.929320444 +16336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.334470084 +16338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.856193187 +16339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.05646761 +16340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.652824777 +16337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.710302363 +16341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.59071562 +16342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.692061501 +16343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.793063052 +16344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.762188167 +16345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.405637303 +16346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.443463612 +16348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.966663155 +16347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.04613568 +16349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.7771754 +16352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.149923988 +16351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.226842076 +16353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.460062767 +16355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.538221846 +16356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.00469598 +16354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.36284925 +16357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.884198601 +16350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.430890304 +16359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.678187369 +16360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.168593287 +16358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.25544995 +16361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.655676728 +16362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.775152094 +16363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.565424907 +16364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 3.25160335 +16365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.491507344 +16368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.41460126 +16366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.091268763 +16369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.002689402 +16370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.37976446 +16371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.846963505 +16372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.364559371 +16367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 3.731439775 +16374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.196009007 +16375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.90648466 +16376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.88956317 +16373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.83766073 +16378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.086515384 +16379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.109658332 +16380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.946561501 +16377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.00249978 +16382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.64666749 +16383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.472914238 +16381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.625963138 +16384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.586303384 +16385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.565184252 +16388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.817811992 +16387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.965306163 +16386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.847071239 +16389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.305404511 +16391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.589463537 +16392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.738130757 +16390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.839029311 +16395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.23390361 +16394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.237180822 +16396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.842662162 +16393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.374350391 +16397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.26233246 +16398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.484009929 +16400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.83902863 +16401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.347757667 +16403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.642975719 +16399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.71810674 +16404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.45746053 +16402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.584521602 +16405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.941143694 +16407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.355413102 +16406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.74925648 +16408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.06127296 +16409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.438135448 +16412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.457305698 +16413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.149420282 +16411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.803543865 +16410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.846037488 +16414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.160507357 +16415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 17.75164442 +16416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 13.91440597 +16417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.25946012 +16418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.40491296 +16419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.755561185 +16422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.380413961 +16420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.604856206 +16423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.497665804 +16421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.344071971 +16424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.943489772 +16426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 3.816530534 +16425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.502166475 +16429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.121381878 +16427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 3.31200318 +16428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.718204403 +16430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.756819235 +16431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.559038777 +16432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.673061488 +16433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.968032635 +16434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.569551012 +16436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.155654702 +16435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.00295009 +16438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.582245416 +16437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.70212622 +16440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.355609488 +16441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.361477693 +16442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.850501045 +16439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.558012334 +16443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.610218506 +16446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.120986818 +16444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.696093053 +16445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.790047458 +16447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.568441653 +16449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.79211163 +16448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.36421929 +16450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.296020804 +16453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.381897923 +16454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.13920535 +16451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.712059275 +16452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.988783616 +16455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.242254534 +16457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.922973914 +16456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.871947956 +16458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.842481536 +16459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 13.29279743 +16460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.123288132 +16462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.791460109 +16461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.274125719 +16463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.994032322 +16464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 2.838696648 +16466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.446199172 +16465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.161706187 +16467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.569761388 +16468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 13.32995297 +16469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.320988083 +16471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.98020146 +16472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.010504212 +16473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.623684606 +16474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.668145634 +16475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.209610218 +16476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.944670986 +16470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.534019544 +16477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.44035914 +16479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.278487617 +16480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.878320861 +16478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.020439369 +16481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.464229194 +16482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.131686305 +16483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.423902386 +16484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.607989832 +16485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.519606185 +16487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.630241905 +16486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.42275704 +16489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.75193968 +16490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.63919999 +16488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.304645498 +16491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 13.86125465 +16493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.755573239 +16494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.533957606 +16495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.847448808 +16492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.04280804 +16496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.004316596 +16497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.073999983 +16498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.632403362 +16499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.212943848 +16500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.004193015 +16501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.655867436 +16504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.658785354 +16505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 14.13171159 +16506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.982763357 +16503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.815876463 +16502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.532241209 +16507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.22539627 +16508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.569347522 +16509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.888479376 +16510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.817829527 +16511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.959391349 +16512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.797160884 +16514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.566204555 +16513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.948501206 +16515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.34452522 +16516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.922439688 +16517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.769626443 +16518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.00087406 +16519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.292860486 +16520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.02256759 +16521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.264555416 +16522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.538456691 +16523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.097725503 +16524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.406875642 +16525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.006985581 +16526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 13.05646201 +16527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.591310187 +16528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.77218734 +16529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.048039233 +16531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.078975302 +16530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.424278886 +16532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.802269087 +16533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.281423186 +16534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.206176756 +16537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.17680795 +16535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.744697689 +16536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.44713831 +16538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.745245568 +16539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.14971059 +16540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.70370159 +16541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 1.782913778 +16542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.238497536 +16543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.44024672 +16544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.166624635 +16545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.075599486 +16546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.416287541 +16548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.086433248 +16549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.202320769 +16550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.978604463 +16547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.602358172 +16551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.48612743 +16552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.79218116 +16553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.417895893 +16554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.603285443 +16555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.621603498 +16556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.269648626 +16557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.371128186 +16558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.382031722 +16559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.90821168 +16560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.802654381 +16561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.09003909 +16562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.348168268 +16563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.84822131 +16564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 3.097582218 +16567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.781805984 +16565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.60795744 +16566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.570933781 +16569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.027249448 +16568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.73047427 +16570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.323918437 +16572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.810080018 +16571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.129623985 +16573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.286932019 +16574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.915148149 +16576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.685917366 +16575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.76716821 +16577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.725871515 +16578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 3.688923829 +16580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.749592213 +16579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.573071398 +16581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 12.60878702 +16582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.707805667 +16583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.413883291 +16585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.733714359 +16584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.370666838 +16588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.328783648 +16586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.72887569 +16589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.76421689 +16590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.803601257 +16587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.42421546 +16591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.250737646 +16592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.575233279 +16594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.793135785 +16596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.152063073 +16595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.076730167 +16598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.06961772 +16593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.171028616 +16599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.869611585 +16600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.907511398 +16597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.076709837 +16601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.658273323 +16603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.530600243 +16602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 3.932218977 +16604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.57792349 +16606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.797232341 +16605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.745988635 +16607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.933911917 +16608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.939478792 +16609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.850113544 +16611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.11554328 +16610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.073254969 +16613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.781481626 +16612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.029305598 +16615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.278598218 +16616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.922606874 +16614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.240735423 +16617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.297610055 +16619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.176113195 +16618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.749764976 +16620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.92008129 +16621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.613074536 +16623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.305724661 +16625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 12.58570859 +16624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.926381002 +16622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.630599407 +16627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.287648387 +16628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.034910646 +16626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.753086153 +16630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.159857219 +16631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.233423347 +16633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.629499557 +16629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.566719973 +16632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.016041467 +16634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.7306352 +16635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.223706522 +16636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.988019985 +16639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.794767094 +16638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.995612341 +16637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.143994984 +16640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.129628902 +16641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.870092054 +16642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.37512321 +16643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 12.01872942 +16644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.211927351 +16648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.64244791 +16647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.152817564 +16646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.035360575 +16645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.18043326 +16651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.316343005 +16649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.553446423 +16650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.57538053 +16652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 13.49079217 +16655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.884013218 +16654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.802077719 +16657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.909037006 +16653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.941334421 +16659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.32222597 +16656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.011230924 +16660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.449561348 +16658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.072886007 +16662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.1401793 +16661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.674939948 +16664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.583897478 +16665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.227746561 +16666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.956297581 +16663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.428184472 +16667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.167997967 +16668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.232389935 +16670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.313549458 +16669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.652227715 +16671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.99305661 +16672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.418552066 +16674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.210927379 +16675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.930115415 +16673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.845194415 +16677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.597789433 +16676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 12.30957998 +16678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.85649143 +16682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.127655002 +16681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.802385204 +16680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.157159585 +16683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.540209229 +16679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.103194787 +16686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.693096688 +16685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.760798242 +16687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.267631412 +16691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.678967216 +16689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.163670712 +16684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.20221608 +16690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.736113084 +16688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.628322944 +16692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 3.056271119 +16693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.73466482 +16694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.777344439 +16696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.608575057 +16697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.63310298 +16695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.899231225 +16698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 12.37575875 +16699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.531316184 +16700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.94619597 +16703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 12.26981255 +16701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.421261406 +16705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.672178123 +16706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.713125415 +16702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.320703735 +16704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.222422895 +16708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 3.66940679 +16707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.108999529 +16709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.646212874 +16712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.53086376 +16711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.73524811 +16713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.09484814 +16714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.832261929 +16715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.209050806 +16710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.911558857 +16716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.89948861 +16717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.798113178 +16718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.347247751 +16719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.461100102 +16720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.423591781 +16721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.845672706 +16722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 3.043641602 +16723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.430450625 +16725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.471191701 +16724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.421402459 +16726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.653939717 +16727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.137859711 +16728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.782216902 +16730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.437442203 +16729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.026048788 +16734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.359480401 +16732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.962860789 +16736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.157256464 +16733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.133964635 +16731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.26828369 +16735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.102983585 +16737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 2.895056701 +16738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 13.41105156 +16739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.298207023 +16741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.601131689 +16742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.229193588 +16740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.051674437 +16745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.576526266 +16743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.41302741 +16744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.890480907 +16747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.5222842 +16748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.132524359 +16746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.670348455 +16750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.657384296 +16749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.836364603 +16751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.95457235 +16753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.945011935 +16752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.39179372 +16756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.160173123 +16755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.06054372 +16757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.623471927 +16754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.726507433 +16759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.183282337 +16758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.868792541 +16760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.495406433 +16761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.891850113 +16762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.373029984 +16763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.557487786 +16764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.913651961 +16765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.39202226 +16767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.041630763 +16766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.433514442 +16768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.742226123 +16772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.077582134 +16769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.520647785 +16771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.340322987 +16773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.208406569 +16770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.655434971 +16774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.520292596 +16775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.189301297 +16776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.384194434 +16777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.746913923 +16778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.772445223 +16780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.88576497 +16782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.008054835 +16779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.58341052 +16781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 3.72629163 +16784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.140923306 +16783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.331993437 +16785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.065899338 +16786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.361795899 +16790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 12.04386861 +16789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.250913052 +16788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.334080164 +16792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.754387536 +16791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.031680403 +16787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.361230575 +16793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.456726393 +16796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.50316563 +16795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.50502842 +16797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.040831989 +16798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.143397348 +16799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.722699535 +16800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.435886616 +16801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.753335907 +16794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.811680228 +16804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.034417503 +16802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.193020098 +16805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.314845124 +16803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.447081973 +16806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.920993638 +16807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.395793329 +16808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.71191632 +16809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.32462831 +16812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.901766151 +16811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.79825394 +16813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.804927746 +16814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.965096228 +16815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.258149784 +16816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.120572309 +16810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.66539231 +16818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.580139527 +16819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.041653991 +16820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.014185883 +16821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.045361484 +16822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.405797564 +16823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.285503828 +16817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.363484291 +16824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.77611097 +16825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.761726487 +16826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.233432389 +16827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.4325983 +16830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.393445719 +16832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.910949108 +16829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.713113163 +16828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.323125458 +16833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.53874555 +16835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.35255408 +16831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.340373795 +16836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.605137981 +16837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.529980331 +16838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.555814258 +16834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.009971038 +16839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.091189726 +16840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.680706546 +16842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 2.256943688 +16843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.00486406 +16844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.63110784 +16841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.06837128 +16845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.28910604 +16847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.007187736 +16846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.76843237 +16848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.128825142 +16849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.035455148 +16852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.881334185 +16850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.788151663 +16853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.877289669 +16854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.110024806 +16855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.3113095 +16851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.230966845 +16856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.192230513 +16857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.037000117 +16858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.167732606 +16860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.536929289 +16862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.502891958 +16859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.818891849 +16861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.852090506 +16863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.46385714 +16864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.900645382 +16865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.621831515 +16866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.436844323 +16868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.790310868 +16867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.287116962 +16870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.88362968 +16872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.946072248 +16871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.262696183 +16869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.605505695 +16873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.97536583 +16874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.36685659 +16876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.530503624 +16875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.352802463 +16877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.82844157 +16878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.979877893 +16880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.549906448 +16879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.520762498 +16881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.442267949 +16882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.476625092 +16884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.185276938 +16883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.620942424 +16885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.397777431 +16887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.649917295 +16886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.0891654 +16889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.30263447 +16890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.577628187 +16891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.032106815 +16888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.567848969 +16892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 14.07253023 +16893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.241135137 +16894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.467879358 +16895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.013647067 +16896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.436318366 +16897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.861993299 +16898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.449416036 +16900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.209450028 +16899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.110504312 +16901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.749372258 +16904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.904483456 +16905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.242024813 +16906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.753118694 +16902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.792741268 +16903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.324703163 +16907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.164830999 +16909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.182573706 +16908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.031990279 +16910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.085430703 +16911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.917683638 +16913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.248814181 +16914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.484607075 +16912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.672810395 +16915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.984190976 +16916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.528706222 +16917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.259390617 +16918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.394328411 +16921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.825181659 +16919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.642377809 +16922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.138126953 +16920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.554011861 +16923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.96828725 +16924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.290431416 +16926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.121493374 +16925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.147120783 +16927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.792678385 +16930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.024561084 +16931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.517291634 +16929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.667259619 +16928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.126504669 +16932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.27167037 +16933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.95252653 +16935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.11025233 +16934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.399517282 +16938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.09262928 +16936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.150945656 +16937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.759413719 +16939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 3.551085708 +16940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.518894575 +16941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.207309412 +16944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.84999563 +16942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.41004455 +16946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.243277197 +16945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.274512403 +16947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.8192653 +16948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.373222968 +16943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.700293872 +16949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.463090049 +16951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.609177556 +16953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.61418386 +16950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.311788812 +16952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.122792246 +16954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.45100804 +16955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.991035664 +16957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.609117108 +16956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.22730115 +16960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.100890037 +16958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.87755721 +16961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.268854315 +16962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.220842928 +16959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.86968162 +16963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.834432382 +16964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.70885919 +16967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.9468221 +16968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.390722171 +16965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.880611107 +16969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.273334272 +16966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.106725496 +16970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.926493124 +16971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 13.38791681 +16972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 10.1623884 +16973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.127398517 +16974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.86408066 +16977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.203258568 +16976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.497641894 +16975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 12.32035375 +16978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.73137112 +16979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.54584441 +16980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 11.97953457 +16981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.320338175 +16984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.485810702 +16983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 7.327169323 +16982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.41795973 +16987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.763317212 +16986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 3.773502607 +16985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 6.813160357 +16988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.038137387 +16989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.106622014 +16990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 3.437475935 +16993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.65335743 +16994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.599939597 +16995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.139329341 +16991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.788862149 +16992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.60326131 +16996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.789928475 +16998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.560491097 +16997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 3.422160465 +16999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 8.181228226 +17001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.393096311 +17002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.715599876 +17000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 4.836031185 +17003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.273031248 +17004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.940301455 +17006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.975584019 +17008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.31776187 +17009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.978024095 +17007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.895122173 +17010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.123530728 +17012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.717306602 +17011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 12.06127668 +17005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.004262906 +17014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.837283059 +17013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.58850103 +17015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.684141999 +17016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.905193712 +17017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.388255985 +17020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.192760278 +17018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.76801586 +17021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 3.938382201 +17019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.945002417 +17022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.13208815 +17023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.12856918 +17024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.016443128 +17027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.05212189 +17026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.371419297 +17025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.923526376 +17029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.233550794 +17028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.66007197 +17031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.476982307 +17030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.063169498 +17032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.172513001 +17033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.478785916 +17034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.757826222 +17035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.05867339 +17036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.132372537 +17038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.838126191 +17039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.148978141 +17040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.261332281 +17041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.722983063 +17042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.722512921 +17037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.900745145 +17043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.995635748 +17044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.88773425 +17046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.948849265 +17045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.002490764 +17047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.108820949 +17049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.723798824 +17050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.849866315 +17048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.910219112 +17051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.634650978 +17052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.729589171 +17054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.30344459 +17053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.565935301 +17055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.647294395 +17058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.940087 +17056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.225204093 +17059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.991413637 +17057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.842669209 +17062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.177573922 +17061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.034651143 +17063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.268825058 +17060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.351678852 +17065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.006234587 +17064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.087571813 +17067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.646241662 +17066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.7826625 +17069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.364497222 +17068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.933305633 +17070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.347389025 +17073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 3.004901709 +17071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.986916193 +17072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.444339015 +17076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.620080113 +17075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.920983431 +17074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.77001742 +17078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.986862019 +17077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.072166891 +17079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.417634058 +17081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.40137444 +17084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.651105669 +17082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.229723354 +17085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.887656053 +17086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.075687193 +17083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.53206847 +17080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.123928551 +17087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.120760729 +17088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.674727264 +17090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.802406112 +17089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.667401006 +17091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.23271504 +17092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.567276278 +17093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 12.2926256 +17094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.576699175 +17095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.538418666 +17096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.405683157 +17099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.5860879 +17098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.827089323 +17097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.222518528 +17100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.830417349 +17101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.296201718 +17103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.017406278 +17104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.081454424 +17102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 3.149892766 +17106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.517685689 +17107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.392458507 +17105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.027224036 +17108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 13.07371274 +17109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.283636927 +17110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.349832313 +17111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.224731364 +17112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.271165725 +17114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 2.348674451 +17116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 3.889471079 +17117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.355133851 +17115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.466321905 +17113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.269617378 +17118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.817206783 +17119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.667093063 +17121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.280933935 +17120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.794688011 +17122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.75797433 +17125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.88321198 +17124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 3.282210713 +17123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.609903429 +17126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 11.65308451 +17127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.003751213 +17128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.40249946 +17130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.635299878 +17132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.398189495 +17131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.09073898 +17129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.046681741 +17133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.473374407 +17134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.841085231 +17136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.511037328 +17135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.240195086 +17137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.586491934 +17139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.404544001 +17138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.807028489 +17140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.803648642 +17141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.080376849 +17142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.173733868 +17143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.023079973 +17144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.448378004 +17145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.152672143 +17146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.857672198 +17147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.531667875 +17149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.639724518 +17150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.830876445 +17148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.647465505 +17151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.852078023 +17152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 11.85767009 +17153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.784170847 +17155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.303777348 +17154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.802812934 +17156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.677571673 +17157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.197848865 +17158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.706758706 +17159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.006077861 +17160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 3.717998829 +17161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.932928711 +17163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.888344303 +17162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.159611732 +17164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.384942586 +17165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.882975816 +17167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.338996388 +17166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.688008396 +17170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.172929733 +17169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.824273923 +17168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.55199052 +17171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.104343526 +17172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.238182699 +17173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.329418886 +17174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.573010179 +17176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.771379589 +17177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.627971488 +17178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.087544364 +17175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.625495174 +17179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.229675035 +17180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.23549001 +17181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.091232332 +17182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.773357593 +17183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.702213321 +17184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.952024534 +17185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.195505968 +17187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.034789769 +17186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.727298086 +17188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.418732902 +17189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.837429253 +17190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.867689866 +17191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.197229636 +17193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.244097785 +17192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.78433238 +17194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.479719702 +17195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.023172853 +17197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.169518247 +17196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.205917482 +17198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.85992339 +17199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.360636283 +17200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.120441552 +17201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.208027843 +17202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.553148231 +17203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.940774463 +17205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.721990873 +17204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.126675043 +17206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.29911256 +17208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.95130419 +17207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.844934845 +17209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.75948047 +17210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.335671198 +17212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.388307354 +17213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.287363566 +17211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.236996312 +17214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.432971131 +17215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.549152933 +17216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.163470034 +17218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.237882673 +17217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.448132891 +17219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.68464925 +17220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.100114169 +17222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.521676763 +17221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.197651618 +17224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.624426199 +17223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.583304826 +17225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 11.6340585 +17226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.644991919 +17227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.551241553 +17228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 3.081797183 +17229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.201111967 +17232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.051334756 +17230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.718354837 +17231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.831094238 +17233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.507448856 +17234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 11.2172397 +17235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.560091324 +17236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.878102156 +17237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.521030719 +17238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.870743957 +17240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.144887115 +17239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 3.826078915 +17241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.070842714 +17242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.440593337 +17243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.124654202 +17244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.163642228 +17245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.279050947 +17246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.178181144 +17247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.08740731 +17249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.21828887 +17248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.35722968 +17250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 3.518621848 +17251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.314308933 +17252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.451142631 +17254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.771706972 +17253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.212848937 +17255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.649939563 +17256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.647399038 +17258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.76143852 +17257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.772704324 +17259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.012107252 +17260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.110792151 +17261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.84840536 +17263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.62700534 +17262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 11.01482197 +17264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.479738166 +17265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.251168205 +17267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.803201672 +17268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.67860133 +17269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.200532378 +17266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.310513637 +17270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.213565264 +17271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.66238174 +17272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.345798506 +17273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.1876463 +17274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.32675751 +17275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.674464574 +17279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.891850645 +17277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.153384771 +17276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.94459996 +17278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 12.39600775 +17280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.258763153 +17281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.390369241 +17282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.787325149 +17284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.681258456 +17285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.075003976 +17283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.9152123 +17287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.780752703 +17286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.91065632 +17288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 11.10586281 +17290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.085870144 +17289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.047036258 +17291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.140300254 +17293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.179398061 +17294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 11.33681777 +17295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.217302985 +17292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.508181191 +17296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.244066644 +17298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.048433 +17297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.223269077 +17299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.034626252 +17300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.359859141 +17301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.494213818 +17302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.71881004 +17303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 3.118974106 +17304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.549155404 +17306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.762590752 +17305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.29177475 +17307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.724267256 +17308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.727649611 +17309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.468268784 +17310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.775657961 +17312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.740069376 +17313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.75073757 +17311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.081305055 +17314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.63419031 +17315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 11.82914441 +17316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.754662143 +17317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.048917736 +17318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.307168862 +17321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.819808177 +17322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.02867958 +17320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 11.10825972 +17319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.953590738 +17324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.422670673 +17323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.496917781 +17325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.237593036 +17326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.173449461 +17328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.761789742 +17329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.755520323 +17331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 3.689246887 +17330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 13.26374158 +17332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.970154274 +17333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.092825358 +17327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 11.69985793 +17334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.778404337 +17335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.66091737 +17337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.044546047 +17338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.582732206 +17339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.480085631 +17340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.609129842 +17336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.290315061 +17342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.665690962 +17343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.651082339 +17341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.384169103 +17345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.945309655 +17347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.108194864 +17344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.180354006 +17348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.082591891 +17346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.898582736 +17349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.52814712 +17350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.84021665 +17351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.784201004 +17352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.131608895 +17353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.181249986 +17354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.352195465 +17356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.454202937 +17355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.573453231 +17357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.825209732 +17358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.857771279 +17359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.535324946 +17361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.299679 +17362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.534394874 +17363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.162661298 +17360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 3.977266622 +17364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.548004802 +17365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 12.37613689 +17366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.802573462 +17367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.539059218 +17368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.68214379 +17370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.599484521 +17369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.044193116 +17371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.224193135 +17372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 11.10452631 +17373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.94001849 +17374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.04404182 +17376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.731221978 +17375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.283976532 +17377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.599719787 +17378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.971820241 +17381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.523951727 +17380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.910226657 +17379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.430183377 +17382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.323415257 +17383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.598248094 +17384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.148333088 +17386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.589236428 +17385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.939242941 +17388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.946287037 +17387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.11754483 +17391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.553577173 +17389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.822039474 +17392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.460680971 +17394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.305945051 +17393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.59673109 +17396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.267400261 +17390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.362096656 +17395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.976251727 +17397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.16796136 +17398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.92089744 +17400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.43213067 +17399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.302705167 +17401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.931992541 +17404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.114212604 +17403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.406263313 +17402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.03701131 +17405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.217320509 +17406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 11.05728792 +17407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.615274842 +17408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.819739666 +17409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.370435998 +17410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.480505592 +17411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.330847265 +17412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.576088632 +17413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.20166741 +17414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.032897441 +17415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.57915539 +17418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.582092987 +17416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.057100684 +17419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.169583077 +17417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.970400059 +17420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.805445073 +17421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.959653623 +17422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.80586701 +17423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.996034766 +17424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.702441938 +17425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.312808921 +17427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.351054183 +17428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 11.05102772 +17426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.521372633 +17429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.12519082 +17430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.627146367 +17431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.625850307 +17433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.102381916 +17432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.594722907 +17435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.629516574 +17436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.02511173 +17438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 12.34075634 +17439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.614434122 +17434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.296628456 +17441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.125825385 +17437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.395897538 +17442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.399822527 +17440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 11.57776905 +17443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.698844834 +17444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.71174675 +17445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.689170759 +17446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 3.673789651 +17448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.69467643 +17447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.091949507 +17450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.163175611 +17451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 3.889838106 +17449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.134595714 +17453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.187094773 +17452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.814113355 +17454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.622152014 +17456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.539971093 +17455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 11.30835574 +17457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.944924965 +17458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.926765444 +17459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.934432593 +17460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.802148088 +17461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.787370073 +17463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.160355768 +17464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.412941715 +17465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.605179787 +17466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.004399473 +17467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 12.16967508 +17468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.089031746 +17462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.792386952 +17469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.599714118 +17470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.141946837 +17471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.899151502 +17472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.714578991 +17473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 12.07179364 +17474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.20946071 +17475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.309268506 +17476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.03604909 +17477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 11.56301037 +17478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.403639089 +17481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.110644443 +17482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.18563314 +17480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.91406155 +17483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.542589874 +17485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 3.670083651 +17479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.519492768 +17486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.820522468 +17489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.529772097 +17484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.67542474 +17490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.655151745 +17487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.681617768 +17488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.751519782 +17491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.525492807 +17492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.704665797 +17493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.524249124 +17495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.47198132 +17496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.531951507 +17494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.212379906 +17497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.376641699 +17498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.430989329 +17499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.160502204 +17500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.924796451 +17501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.38021987 +17503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.954985873 +17504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.169181538 +17505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.34491255 +17502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.481212671 +17506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.509788358 +17507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.396467216 +17508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.587478241 +17509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.590223595 +17511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.524233314 +17514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.465208971 +17512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.173967889 +17513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.178728968 +17510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.057858934 +17516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.588820463 +17515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.850614746 +17517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.259056134 +17518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.721553136 +17520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.685867243 +17519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.677743426 +17523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.777782404 +17521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.719163123 +17522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.710332163 +17524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.798851529 +17525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.574497511 +17526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.281676179 +17527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.840199907 +17528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.914079511 +17530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.182294928 +17531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 12.32160933 +17532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.864133785 +17529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.790985161 +17533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.456028196 +17536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.03620977 +17535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.571755657 +17534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.239740049 +17537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.506519139 +17538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.179741973 +17540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.45572161 +17539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.628808844 +17541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.014917561 +17543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.6312203 +17544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.532210456 +17542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.763751518 +17545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.95751614 +17548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.121977007 +17547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.962901317 +17546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.932596061 +17549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.575248324 +17551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.99990583 +17550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.136066988 +17552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.138260085 +17553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.420567854 +17554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.787599564 +17555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.23572616 +17556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.272299286 +17557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.27965889 +17558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.306308451 +17559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.971345998 +17560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.922463591 +17561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.15213638 +17562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.286863841 +17563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.107180164 +17564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.523998349 +17565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.58183964 +17566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.461668735 +17567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.447693935 +17568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.656434458 +17569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.781293889 +17571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.292313124 +17570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.26298628 +17573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.949326189 +17572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.997512536 +17574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.948320505 +17576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.241886453 +17575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.850738085 +17577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.65580991 +17579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.230577836 +17580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.860880862 +17581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.868209905 +17582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.731977251 +17584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.838829817 +17578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.040624555 +17583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.146229463 +17585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.16510135 +17587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.695297792 +17589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 11.63629393 +17586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.98454781 +17588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.063337171 +17591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.84918658 +17592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.551757396 +17593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.080929513 +17590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.284934849 +17594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.784466203 +17595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.256994922 +17596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.00310332 +17598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.369643544 +17597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 3.8762205 +17601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.223344019 +17599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.864090975 +17600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.799999806 +17602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 2.8785636 +17604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.813118626 +17605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.181811616 +17607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.473837722 +17608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.299836309 +17603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.774800327 +17609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.07044692 +17606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.423145746 +17610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.312959 +17611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.34613515 +17615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.8357455 +17613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.35423791 +17614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.800325642 +17612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.853885042 +17616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.08371528 +17617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.803264476 +17619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.926572606 +17618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.913210539 +17621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.402612752 +17620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.054388521 +17622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.898807058 +17623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.377830166 +17624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.30270816 +17625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.959054694 +17627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.781583475 +17626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.906581018 +17629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.579977888 +17631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.211731966 +17630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.531233574 +17628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 12.20805156 +17632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.780053982 +17634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.377627102 +17635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.664321567 +17636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 13.12040617 +17633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.7463543 +17639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.09274445 +17638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.280885891 +17637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.4264925 +17641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.80712928 +17640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.07397948 +17642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.935057331 +17643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 11.45720322 +17645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.287228131 +17646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.950296171 +17644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.027485107 +17647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.611989757 +17648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.287014561 +17649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.305651751 +17651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.908244648 +17650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 11.45313211 +17653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.959502064 +17652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.69378178 +17654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.57316369 +17655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.584727937 +17657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.154570103 +17656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.531450654 +17658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.096917204 +17659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 3.269528368 +17660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.236424391 +17661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.138629655 +17663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.496651816 +17662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.828785342 +17664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.19115101 +17665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.19415649 +17666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.199537565 +17667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.033702161 +17669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.218516229 +17668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.172184478 +17670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.540255937 +17671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.815940445 +17672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.943119915 +17673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.476403546 +17674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.627559589 +17675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.392333282 +17676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.632707757 +17677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.991908376 +17678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 11.90744914 +17680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.989657651 +17679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.081574936 +17681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.79959348 +17682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.809998001 +17683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 11.72643579 +17684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.250010304 +17685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.871241921 +17686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.253404249 +17689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.284930468 +17687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.249055751 +17688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.964792507 +17690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.659858498 +17691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.758573076 +17692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.506424737 +17693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.233414643 +17694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.636756084 +17696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.159389386 +17695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 3.987821635 +17698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.804118332 +17699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.309917212 +17700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.400917683 +17697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.726148278 +17702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 3.264933558 +17701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.673331281 +17704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.163756963 +17703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.865614979 +17705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.994962006 +17706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.302670673 +17707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.062568595 +17709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.915490402 +17710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.87881935 +17708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.188114348 +17711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.167072063 +17712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.72427178 +17714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.101387108 +17715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.533599671 +17713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.557298925 +17717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.296062528 +17716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.609276104 +17720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.33382222 +17721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.284120506 +17718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.859302033 +17722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.067317566 +17723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 11.4894617 +17719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.75034987 +17725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.1543552 +17724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.1706041 +17726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.940305395 +17727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.500647862 +17728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.852572074 +17730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.341144639 +17731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.04743524 +17729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 11.12120813 +17734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 3.175079941 +17733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.66146346 +17732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.522227055 +17735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.74011246 +17736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.744559082 +17738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.544903569 +17737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.240285298 +17739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.952590618 +17742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.138010374 +17741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.10189567 +17740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.438045815 +17743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.785207111 +17744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.80061186 +17746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.76517212 +17747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.179614331 +17748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.124920834 +17745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.447044997 +17749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.029680624 +17750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 13.64845408 +17751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.914026759 +17753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.088986663 +17754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.578773681 +17756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.431978923 +17757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.391896242 +17755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.5239885 +17758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.642309233 +17759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.033592105 +17752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.091406834 +17760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.635409465 +17761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.979389846 +17762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.610396793 +17764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.105470171 +17765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.554622278 +17763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.658945709 +17767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.157857293 +17766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.026266825 +17768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.06475653 +17769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.640506533 +17770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.486400911 +17772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.386726336 +17773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.85608108 +17771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.586556062 +17774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.687930994 +17775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.78847431 +17776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.218104101 +17778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.96349164 +17777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.457101915 +17779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.77649292 +17781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.827093236 +17782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.821135202 +17780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.507165022 +17784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.86491005 +17783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.66037506 +17785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.009021788 +17786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.417298231 +17788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.143946407 +17789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.721891406 +17787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.13359635 +17790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.778775469 +17791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.971997397 +17792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.456726551 +17793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.91993885 +17794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.939677673 +17796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.198620089 +17798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.368679738 +17795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.191462014 +17797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.339799119 +17799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.630592115 +17802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.940409011 +17800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.19849211 +17801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.066481363 +17805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.179579109 +17803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 13.32877054 +17804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.355541708 +17807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.989330724 +17806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.67875462 +17808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.331883742 +17809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.549173934 +17810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.673293474 +17811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.518144174 +17813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.33900837 +17812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.20194363 +17814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.409389705 +17815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.231808359 +17816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.920993599 +17818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.490369831 +17819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.074434344 +17820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 11.4603257 +17822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.95329538 +17821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.534760241 +17817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.307485372 +17823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.188813015 +17824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.800320076 +17826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 12.17842291 +17827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.216425043 +17825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.469853015 +17830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.795330231 +17828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.768928643 +17829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 11.92241792 +17831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.514338085 +17832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.431766988 +17833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.081935853 +17835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.5221429 +17834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.376715345 +17838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.434829711 +17839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.67230466 +17840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.111734003 +17836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.028073906 +17837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.395803934 +17841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 3.954795033 +17843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.099589834 +17842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 11.82802273 +17844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.482819893 +17845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.840197608 +17847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.497260895 +17846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.134268375 +17850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.845262801 +17849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.085596685 +17851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.765007807 +17848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 14.42863798 +17852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.343742174 +17853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.4026338 +17854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.941115707 +17855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.422470083 +17856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.377955121 +17858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.855226819 +17857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.210156574 +17859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.47332519 +17861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.188819186 +17863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.907092473 +17862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.078012046 +17860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.850518638 +17865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.749357978 +17864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.182899133 +17866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.496885552 +17867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.415730427 +17868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.734352935 +17870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.71846281 +17869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.293418503 +17871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 12.34069042 +17872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.824776982 +17873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.662922965 +17874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 11.13242582 +17875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.995662825 +17876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.724261442 +17877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.114942186 +17879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.600278506 +17878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.958436278 +17882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.361824356 +17880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.113933401 +17881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 11.01097238 +17883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.087315326 +17886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.510265916 +17885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 3.530461792 +17884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.372405733 +17887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.56441182 +17889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 13.25510053 +17888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.716222076 +17890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.654864197 +17893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.807546181 +17891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.185894743 +17894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.210603416 +17892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.033304794 +17895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 12.54024994 +17896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.889470641 +17897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.007459056 +17898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.583966089 +17899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.011487836 +17900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.528922602 +17902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.180961206 +17904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.881973302 +17903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.987736069 +17901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.667017351 +17906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.079184334 +17905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.618023401 +17907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.745159835 +17909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.516035868 +17908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.282147366 +17911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.529357031 +17913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.138329169 +17912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.181684493 +17914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.303812176 +17910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.810653199 +17916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 2.513700814 +17915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.179832526 +17917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.018245404 +17918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.377933254 +17920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.086633433 +17919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.630300796 +17921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.730042923 +17922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.674858792 +17925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.928878184 +17923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.588003414 +17926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.195483513 +17928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.768753468 +17929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 11.33106626 +17927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.140573154 +17924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.315692829 +17931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.594291008 +17932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.888606528 +17933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.226968704 +17930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.913206412 +17934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.443679113 +17935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 3.998690345 +17937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 3.814952688 +17938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.701767556 +17936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.034071388 +17940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.321603458 +17942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.001470117 +17941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.140835935 +17939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.924526497 +17943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.854931659 +17944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.119772859 +17945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.279018525 +17947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.716808109 +17948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.36403429 +17949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.641119666 +17950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.689480015 +17946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.462234689 +17952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.152068907 +17951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.624649126 +17953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.554802543 +17954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.363324446 +17955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.48720939 +17956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 2.862527189 +17958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.991414244 +17959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.438848537 +17960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.672532226 +17957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.732872199 +17961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.242830042 +17962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.768133245 +17963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.879468583 +17965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.903895313 +17966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.584790311 +17964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.527225289 +17967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.216491223 +17969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.491917375 +17968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.969899108 +17970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 12.53700716 +17972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.461726309 +17971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.65501018 +17974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.62045747 +17973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.362112512 +17976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.954997567 +17975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.398609337 +17978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.747684683 +17977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.726244439 +17979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 4.936501418 +17982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.58248761 +17980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.490113805 +17983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.07327379 +17984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 10.24937523 +17981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.295581268 +17985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.845929753 +17987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 5.926476959 +17989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.045334417 +17988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.928580496 +17990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.244446124 +17986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.516041045 +17992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.552402526 +17991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.617995604 +17993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.755814596 +17994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.531907351 +17996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.198077682 +17995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 9.016717962 +17997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 7.961228146 +18000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 6.185838428 +18001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.219942862 +17998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.388845928 +18002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.587577418 +18005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.634665392 +18004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.564719995 +18003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.814972338 +17999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 8.172160414 +18006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.080356835 +18007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.39271224 +18008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.272363906 +18009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.239508441 +18012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.347300959 +18013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.106740932 +18010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.084692221 +18011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.820087906 +18014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.408896479 +18015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.412134851 +18017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.140805254 +18018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.103883727 +18020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.232291204 +18019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.512466916 +18021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.967201492 +18016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 2.967429844 +18022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.797246182 +18023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.53486024 +18024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.66592736 +18026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.44187968 +18025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.874988526 +18027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.170426802 +18028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.274781245 +18030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.615118276 +18031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.760970575 +18029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.905076898 +18032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.451538126 +18035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.220106093 +18033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.10571246 +18034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 11.11939277 +18037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.156117623 +18038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.668237102 +18036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.785444683 +18040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.674760744 +18039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.985283519 +18042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.105184471 +18043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.428799992 +18041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.12009372 +18046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.894672662 +18045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.147213142 +18047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.145419864 +18044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.245753485 +18049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.33979088 +18050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.322615901 +18048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.976221388 +18051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.202995727 +18053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.319743417 +18052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.304653389 +18054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.73765349 +18055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.462087283 +18056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.245867948 +18057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.163497572 +18059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.243874214 +18058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.627629813 +18060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.02763856 +18061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.536891358 +18062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.266805368 +18063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.51563407 +18064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.373011005 +18065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.198927891 +18066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.167543858 +18067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.739143563 +18068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.716330839 +18069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.047530297 +18070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.454068951 +18071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.666134256 +18072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.732416414 +18073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.749456622 +18074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.183418439 +18076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.32754202 +18077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.356005933 +18078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.062778165 +18079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.369008993 +18075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.982396401 +18080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.567813387 +18081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.723180437 +18082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.39861378 +18083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.335515342 +18084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.444835457 +18085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.598511194 +18086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.191479463 +18087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.679668562 +18088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.458111576 +18089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.631764691 +18090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.174156474 +18091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.840148628 +18092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.332148763 +18094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.31419874 +18093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.640226018 +18096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.610112386 +18097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.03095765 +18098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.272565436 +18099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.266662788 +18100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.0865706 +18095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.229445899 +18102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.152207112 +18101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.79275569 +18103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.735800131 +18104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.769179218 +18105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.935269189 +18106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.887920909 +18107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.663094794 +18108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.235743268 +18109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.885362998 +18110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.00804137 +18111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.69835083 +18112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.976760101 +18114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.28509059 +18113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.565709439 +18115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.24444875 +18116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.547265099 +18119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.3354261 +18118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.688380792 +18117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.432998561 +18120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.399271297 +18121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.590483696 +18124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.882460963 +18123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.723982465 +18122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.461846776 +18125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.170757518 +18126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.25693543 +18128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.664391937 +18127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.876705677 +18129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.92187645 +18132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.056267141 +18130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.659013402 +18133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.327660874 +18131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.333980651 +18135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.185036298 +18136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.372142989 +18134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.389334589 +18137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.10952028 +18138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.245457616 +18139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.562482574 +18141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.859533944 +18140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.735552352 +18142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.105278587 +18143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.905244094 +18144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.058557238 +18146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.67035907 +18147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.353547885 +18145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.834982224 +18148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.977716732 +18149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.13475803 +18150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.339707088 +18151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.395017201 +18152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.25448928 +18155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.718891816 +18154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.343899063 +18153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.33921241 +18157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.621333296 +18156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.227640082 +18158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.599925346 +18159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.716180229 +18161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.215184572 +18163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.00809573 +18162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.643196396 +18160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.828641908 +18165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.35597936 +18164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.322538524 +18166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.515135772 +18167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.545133838 +18170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.522196376 +18168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.472309034 +18171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.529576782 +18173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.24397819 +18169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.23168129 +18172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.352151063 +18175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.314486976 +18176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.467138618 +18174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.637172768 +18177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.908779467 +18179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.467162591 +18181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.358315772 +18180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.908469143 +18178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.466677992 +18182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.181499015 +18184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.531497115 +18185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.491992284 +18186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.497536265 +18183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.450837359 +18187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.304060408 +18188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.167306234 +18189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.970301023 +18190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.112214572 +18191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.91602354 +18192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.019849172 +18193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.474451286 +18194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.817045748 +18195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.427303303 +18196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.798376007 +18198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.940844809 +18199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.804374287 +18201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.311740994 +18200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.118173118 +18202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.435611446 +18203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.546430389 +18197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.994219957 +18204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.971652344 +18205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.934176278 +18206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.740391765 +18207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.792425486 +18208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.698010667 +18210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.12034616 +18209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 11.4025927 +18211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.062322053 +18212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.904535693 +18213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.632577283 +18215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.730632307 +18217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.592452967 +18216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 11.85398776 +18218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.244387566 +18214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.302173271 +18220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.617032052 +18221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.13215632 +18219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.729199266 +18223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.424541316 +18222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.922172293 +18225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.410361967 +18226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.663506753 +18227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.81457338 +18224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.967841636 +18228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.173595579 +18230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.4560077 +18231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.232760251 +18229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.738798148 +18232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.809910451 +18234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.942391447 +18235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.099329922 +18233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.053051901 +18236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.096732073 +18237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.773723693 +18240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.387342281 +18238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.668182923 +18243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.556354361 +18241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.079018491 +18242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.103651892 +18244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.994292199 +18239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.746914994 +18245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.983697802 +18247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.220250091 +18246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.010555187 +18251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.965711722 +18250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.947418374 +18249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.368669281 +18248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.45760197 +18253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.783365555 +18252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 13.59048898 +18255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.18836979 +18254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.375935948 +18256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.068456596 +18257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.228870593 +18259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.189208874 +18258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.22526584 +18260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.179198845 +18261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.843861451 +18262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.383204719 +18265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.197460475 +18263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.413322492 +18266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.46767124 +18264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.055265302 +18267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.249054096 +18268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.833194838 +18270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.400237469 +18271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.310194164 +18269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.959851872 +18272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.293249288 +18274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.449428194 +18273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.737394958 +18275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.045484908 +18276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.405538572 +18277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.337718023 +18278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.236197688 +18281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.977529658 +18280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.769295034 +18282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.941084631 +18279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.35944805 +18283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.940529769 +18284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.264944232 +18285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.552690773 +18286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.830691453 +18287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.308719262 +18290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.004928211 +18288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.419840863 +18291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.225540994 +18292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.587497142 +18293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.513659871 +18289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.691246461 +18295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.636956583 +18296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.806671315 +18294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.025490746 +18297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.97321858 +18298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.889115992 +18299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.97430583 +18300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.129077992 +18301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.118697499 +18302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.932303658 +18304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.487242311 +18303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.831241412 +18305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.462972557 +18306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.576141765 +18307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.791322837 +18308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.936918616 +18311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.662201307 +18312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.489616384 +18310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.794939563 +18313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.837493265 +18315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.38691664 +18314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.745504138 +18309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.695796355 +18316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.407516289 +18319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.121866685 +18317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.39815485 +18320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.950518131 +18321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.523663451 +18322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.512717486 +18318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.862262694 +18324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.974963734 +18323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.639254193 +18325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.166539821 +18326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.453323483 +18327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.869716873 +18329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.864208915 +18330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.704982924 +18328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.536737046 +18331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.734836473 +18333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.676528963 +18334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 11.27373164 +18335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.280056648 +18332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.74076448 +18339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.847787349 +18336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.55564609 +18338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.482026773 +18337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.188468644 +18340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.409008986 +18341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.634698592 +18342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.182587455 +18343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.015228876 +18344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.022752501 +18345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.496609207 +18346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.389226956 +18347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.401838732 +18348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.627989834 +18349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.094315832 +18350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.5659906 +18352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.257222137 +18353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.930034349 +18354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.3040958 +18351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.340778109 +18355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.673225906 +18357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.286511448 +18356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.47195332 +18358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.56883637 +18359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.19355599 +18360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.672482525 +18361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.888515174 +18363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.70659205 +18362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.073182602 +18365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.055308861 +18366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.295186393 +18364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.534566453 +18367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.637687593 +18368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.30335762 +18369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.111570362 +18370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.96467325 +18371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.298407304 +18372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.545615657 +18374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.962296232 +18375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.973678745 +18373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.867511026 +18376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.696899897 +18377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.488337034 +18378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.275238457 +18379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.532945347 +18380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.41527205 +18381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.359676344 +18382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.273673882 +18383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.184285438 +18384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.393264196 +18385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.806060282 +18386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.252569549 +18388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.468037913 +18387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.687239916 +18390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.19293865 +18392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.572220198 +18389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 11.65418337 +18391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.514158691 +18393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.15095253 +18394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.890503758 +18395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.554531697 +18397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 2.39722293 +18398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.879091885 +18399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.976566309 +18396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.746329522 +18400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.195244359 +18401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.191390451 +18402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.602579636 +18403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.692613667 +18404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.79111727 +18405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.357409101 +18406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.418977267 +18407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.464240161 +18408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.336674737 +18409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.195508028 +18410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.555918793 +18411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.212885551 +18412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.082291107 +18414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.363468258 +18413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.518551432 +18416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.780588969 +18417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.969921163 +18418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.121380409 +18415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.209616006 +18419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.698600997 +18420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.704936359 +18421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.798470956 +18422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.514738152 +18423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.766430923 +18424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.557729928 +18425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.957478292 +18427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.016401867 +18428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.71251523 +18426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.123108574 +18429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.065404524 +18430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.274798964 +18431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.24376997 +18432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.993110539 +18433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.237853312 +18434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.265589136 +18435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.089785014 +18437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.267598756 +18438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.32386314 +18439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.270842136 +18436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.067626412 +18440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.830869899 +18441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.980003319 +18442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.003794623 +18443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.866882188 +18445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.545457064 +18446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.652077614 +18444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.264578435 +18447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.74668841 +18448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.633227442 +18449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.443486024 +18450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.444472851 +18451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 11.47883108 +18453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.276398625 +18452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.49602124 +18454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.432861059 +18456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.725339371 +18457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.732362925 +18458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.56296348 +18459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.095183949 +18455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.632341272 +18460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.540230081 +18461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 11.38127882 +18463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.649583654 +18464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.571762375 +18462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.223438404 +18465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.840955662 +18466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.359906648 +18467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.74347659 +18469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.786314859 +18468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.44082695 +18472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.100969959 +18474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.440998113 +18470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.329673076 +18473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.571376934 +18471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.729574734 +18476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.394828718 +18477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.410361709 +18479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.009018163 +18475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.752964455 +18480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.264672782 +18481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.413382742 +18482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.566742223 +18478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.905407606 +18483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.704785506 +18484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.678684076 +18487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.186560555 +18488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.531495358 +18485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.604322623 +18486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.945614475 +18490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.338401952 +18489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.60872593 +18492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.192916473 +18491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.395660327 +18493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.008291414 +18495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.11660239 +18494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.574826669 +18497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.286492143 +18498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 11.21553596 +18496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.209369754 +18499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.200126886 +18500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.087818924 +18501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 12.74388707 +18503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.810645246 +18502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.120929715 +18505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.650564722 +18506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.122809445 +18504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.82772807 +18508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.277063933 +18507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.904701491 +18510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.815798983 +18509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.98694717 +18511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.261078946 +18512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.298326172 +18516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.746704893 +18514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.97339942 +18517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.087668859 +18518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.831984255 +18519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.997461328 +18515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.968236814 +18513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.514196777 +18520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.45395671 +18522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.359589098 +18521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.774160934 +18524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 12.08102568 +18526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.871280419 +18523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.603453986 +18525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.021557399 +18527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.990502995 +18529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.617173696 +18530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.347259137 +18531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.589258417 +18528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.44342483 +18534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.322222671 +18532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.205077353 +18533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.95993561 +18535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 11.41310226 +18537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.94197643 +18538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.869563703 +18540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.828029239 +18539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.916031587 +18541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.637450206 +18536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.124107439 +18542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.627755416 +18543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.885448768 +18545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.02304406 +18547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.562590107 +18546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.775081141 +18549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.094249956 +18548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.779647807 +18544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.101229867 +18550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.38715762 +18552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.690150843 +18551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.618736152 +18553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.899444918 +18554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.375366999 +18555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.93583814 +18556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.18097213 +18557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.43586656 +18558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.59920015 +18559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.161708859 +18561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.583205495 +18560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.517183704 +18563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.956716979 +18565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.361241433 +18564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.811654462 +18562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.912357492 +18566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.857771968 +18567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 2.99288792 +18568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.212606654 +18570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.957255201 +18572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.654100974 +18569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.8175669 +18573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.541765342 +18571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.655427464 +18575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.304458955 +18576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.688316307 +18574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.443005417 +18577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.746427315 +18578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.579762613 +18580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.543933568 +18579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.787865552 +18581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.132801999 +18582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.565987724 +18584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.365766135 +18583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.097328572 +18585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.39246677 +18586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.000910029 +18587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.9452635 +18588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.384850169 +18589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.259367069 +18590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.739206127 +18592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.932992343 +18593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 2.754096282 +18595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.566982191 +18594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.798909129 +18596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.656213765 +18591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.451057968 +18597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.764846413 +18598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.310452472 +18600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.640520237 +18599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.819200027 +18601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.517597535 +18602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.990757077 +18604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.940980628 +18603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.994915205 +18606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.798924943 +18608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.36090377 +18605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.907019589 +18609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 11.56110878 +18610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.04720365 +18607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.894026656 +18611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.870968082 +18614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.515750919 +18613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.737148996 +18612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.058892717 +18617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.69108905 +18618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.262205871 +18615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.163584302 +18616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.764047097 +18619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.738584199 +18620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.402079497 +18621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.287910095 +18623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.355311446 +18625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.284376624 +18622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.449059441 +18627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.172992068 +18626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.192038881 +18624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 14.92063815 +18628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.450128198 +18629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.54937119 +18630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.653277632 +18631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.097387237 +18634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.279998908 +18635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.554621734 +18632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.539719109 +18633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.924889255 +18637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.679824644 +18636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.333118798 +18640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.337029911 +18639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.719081102 +18638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.411548758 +18641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.921395265 +18643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.991347556 +18642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.45253117 +18644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.690490646 +18645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.495981677 +18648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.100631892 +18646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.991440554 +18649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.688762525 +18647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.020431946 +18651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.36076693 +18650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.575720618 +18652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.661923237 +18653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.804626244 +18655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.242296789 +18656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.796445551 +18654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.634239246 +18657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 13.10488989 +18658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.728754368 +18659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.334332726 +18660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.46032707 +18661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.68649549 +18662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.428229326 +18664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.760149611 +18666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.046163584 +18665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.449298594 +18668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.098276572 +18667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.57150986 +18663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 11.08425231 +18669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.608481769 +18670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 11.40975402 +18671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.729158456 +18672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.852132015 +18673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.127485274 +18675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.03494419 +18676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.741453658 +18677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.459998715 +18674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.68052162 +18678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.476540477 +18679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.471483223 +18680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.414513644 +18681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.199989655 +18682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.980425418 +18685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.46178973 +18684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.510419023 +18683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.871198974 +18686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.793437711 +18687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.555186974 +18688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.557225075 +18689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.798950466 +18690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 2.787660598 +18691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.640720411 +18692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.062365749 +18693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.051948364 +18695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.299854327 +18694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.346982544 +18696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 12.58876347 +18697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.171913868 +18698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.931016052 +18699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.451996955 +18700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.980878924 +18702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.137657378 +18703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.638497956 +18704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.449365939 +18705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.198603557 +18701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.523237372 +18706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.772755024 +18708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.11204069 +18707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.672927666 +18709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.497583497 +18710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.092417278 +18711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.855033321 +18714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 2.273221459 +18712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.608485773 +18716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.564286982 +18715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.814782382 +18717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.710630831 +18713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.868545895 +18719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.710419271 +18718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.022081792 +18720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.654914245 +18722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.739645687 +18723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.253673528 +18724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.93582401 +18721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.718469165 +18725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.761870752 +18727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.073973645 +18726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.245434582 +18728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.109580571 +18729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 12.12587208 +18730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.372980541 +18731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.102001247 +18732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.81071649 +18733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.660548256 +18734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.264899918 +18736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.13985164 +18737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 11.64107407 +18738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.621081901 +18739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.073358191 +18735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.32691058 +18740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.443015134 +18742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.141833585 +18741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.001880596 +18744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.003058018 +18743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.378417983 +18745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.228518719 +18747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.506718306 +18748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.568624262 +18746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.385345389 +18749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.21571767 +18750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.014788699 +18752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.602974253 +18751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.68168966 +18755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.212344723 +18753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.472032548 +18754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.43456649 +18756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.417143169 +18759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.355238871 +18760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.984279369 +18758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.486127451 +18761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.190289595 +18762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.618027818 +18763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.327240808 +18757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.359393908 +18764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.529504021 +18765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.852205236 +18766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.658243724 +18767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.403706514 +18771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.703765493 +18768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.685505111 +18770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.643738553 +18769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.378839589 +18772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.32693411 +18773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.221361492 +18774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.135288985 +18775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.323700251 +18776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.549465585 +18777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.240077313 +18778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.886386775 +18779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.849692014 +18780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 2.483791488 +18781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.589672324 +18782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.251959312 +18783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.32663627 +18785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.659089156 +18784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.255523101 +18786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.860198273 +18787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.072514151 +18788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.983229281 +18789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.900859524 +18790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.73160415 +18793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.540168623 +18792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.886235084 +18794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 12.23211926 +18791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.745343096 +18796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.087901086 +18795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.850996003 +18798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.47514721 +18797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.119461881 +18800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.603593129 +18799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.659168058 +18802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.026260718 +18803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.719060464 +18801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.79650879 +18804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.887630931 +18806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 11.99946143 +18805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.248226222 +18807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.05254524 +18808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.774992474 +18810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.761471288 +18812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.351474584 +18811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.975113827 +18813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.55069584 +18814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.882591444 +18809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.080874709 +18815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.850347147 +18817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.541449672 +18816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.970880747 +18819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.086836423 +18818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.574191784 +18821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.356703639 +18820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.02600667 +18823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.120715314 +18822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.8452544 +18824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.169920816 +18825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.922690692 +18827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.219563631 +18826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.014167092 +18828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.20990095 +18829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.121024632 +18830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.228629274 +18834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.451203233 +18835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.027602471 +18832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.04628206 +18836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.41766988 +18837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.084010331 +18833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.762867738 +18831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.971382684 +18838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.153222258 +18840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.413067699 +18842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.185364218 +18841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.779441142 +18839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.432143415 +18843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.443206249 +18844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.676511938 +18845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.04659979 +18846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.113697027 +18849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.321333324 +18851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.628202475 +18850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.441572392 +18852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.9632941 +18848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.811544286 +18847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.410138157 +18853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.383294878 +18854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.385679324 +18855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.709407106 +18857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.220936151 +18859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.808343817 +18860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.061491283 +18858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.296201953 +18856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.986580813 +18861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.770768159 +18862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.305421768 +18866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.738600013 +18865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.65512388 +18864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.987216087 +18863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.960333413 +18868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.041482127 +18867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.10926381 +18869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.902669581 +18870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.461421594 +18871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.22928118 +18873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.9300304 +18872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.20490839 +18874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.875179328 +18875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.173334126 +18876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.781860833 +18878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.98151515 +18879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.848687877 +18881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.091619402 +18880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.24908559 +18884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.53408373 +18883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.747977291 +18882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.012747783 +18877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.72835927 +18885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.800871135 +18887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.702998132 +18886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 13.42991866 +18889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.263179081 +18890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.21452005 +18891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.536559862 +18888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.985517622 +18892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.57686434 +18893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.840637023 +18895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.030157707 +18894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.200777723 +18899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.350302973 +18896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.949370024 +18898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.721432233 +18897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.251842702 +18900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.82612482 +18901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.533235667 +18903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.713459623 +18905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.484786576 +18906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.54423655 +18902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.905540531 +18904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.06602819 +18907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.43945161 +18908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.826707349 +18909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.021238308 +18910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.075006924 +18913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.396746489 +18912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.27005781 +18914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.494733979 +18911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.349180087 +18915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.343392529 +18916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.537848491 +18917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.068040554 +18918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.505646086 +18919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.114808262 +18922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.930959565 +18921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 11.77322522 +18920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.263126897 +18923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.577420422 +18924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.057615618 +18926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.17351625 +18925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.926967648 +18928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.719255334 +18929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.491581133 +18930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 13.49448687 +18927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.6080738 +18931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.188652136 +18932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.639372571 +18933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.433643221 +18936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 3.731300645 +18935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.387814411 +18934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.033582335 +18938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.453608068 +18937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.838998701 +18939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.249105272 +18942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.280313671 +18943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.195489694 +18944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.552393154 +18941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.486806848 +18940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.078453843 +18946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 11.09783309 +18945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.479334676 +18947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.344712003 +18948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.131022072 +18949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.093766819 +18951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.649505961 +18950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.817119563 +18952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.06554833 +18953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 10.21864286 +18954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.855378578 +18956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.184881039 +18957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.849340284 +18955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.661611608 +18959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.685173007 +18958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.651529687 +18961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.369189707 +18960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.032237352 +18962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.084725877 +18963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.635788106 +18965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.962766657 +18964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.679193871 +18968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.058591065 +18967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.277963545 +18969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.377707291 +18970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.012339886 +18966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.929256698 +18971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.605025185 +18972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.384869508 +18973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.896854096 +18975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.307647003 +18976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.293320941 +18974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.536503681 +18977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.094482092 +18978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.076304032 +18981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.121063629 +18980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.465600197 +18982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.680356918 +18979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.0229571 +18984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.421581653 +18986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 4.948465817 +18985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.941906528 +18983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.509015281 +18988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.424301729 +18987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.430006443 +18989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.801399344 +18990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 5.83130048 +18991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.948069767 +18993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.932759442 +18992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.419133514 +18994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.154781358 +18996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 7.401988122 +18997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.838466318 +18995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 9.013870084 +18999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 8.43383101 +19000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.390063555 +19001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.344654681 +18998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 6.522753756 +19003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.578938983 +19004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.728540179 +19005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.811601423 +19006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.651341917 +19007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.204350172 +19002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.538095456 +19009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.679959904 +19011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.228176371 +19010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.498491095 +19012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.492700357 +19008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 2.964425628 +19013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.892775072 +19014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.04825477 +19015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.91767802 +19016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.168046756 +19017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.62853675 +19020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.956277901 +19021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.53375181 +19019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 3.276009008 +19018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.498577442 +19022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 3.723049763 +19024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.890231853 +19026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.997087332 +19028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.215914765 +19027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.85647775 +19023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.642087919 +19025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.680014934 +19029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.183305547 +19030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.40090881 +19031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.13284943 +19032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 10.14382081 +19035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.898865041 +19034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.709296493 +19036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.025730311 +19037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.019093652 +19038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.39276305 +19033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 2.842479295 +19039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.807081808 +19040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.199767895 +19042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.973084793 +19044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.314991014 +19041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.406362062 +19046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 1.768660262 +19045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.607752316 +19043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.560688673 +19047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.05099838 +19048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.404995054 +19049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.101210363 +19050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.448422447 +19054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.411689439 +19053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.531534927 +19052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.789323604 +19051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.457282909 +19055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.280337429 +19057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.516080194 +19056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.055433529 +19058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.351100539 +19059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.589488717 +19061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.797889959 +19060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.788512013 +19062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.49315962 +19065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.73243717 +19064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 10.74808421 +19063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.666482863 +19066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.381591952 +19067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.101410484 +19068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.586574908 +19069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.924784383 +19070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.342207865 +19072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.805816772 +19074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.612940073 +19073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.012270782 +19075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.067273467 +19076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.644875511 +19071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.53047487 +19077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 3.706304788 +19079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 3.980734074 +19078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.023282491 +19080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 3.141778919 +19082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.139979812 +19083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.666463988 +19084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.695811803 +19085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.928318209 +19081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.866335521 +19086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.160874186 +19087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.620208212 +19089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.524229973 +19090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.258577852 +19088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.10166599 +19092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.706994601 +19093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.175359905 +19094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.948832759 +19091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.676196091 +19096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.829404342 +19095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.205620958 +19097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.691973498 +19098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.261198126 +19099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.002943189 +19100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.443267602 +19101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 3.804708565 +19102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 3.825429663 +19105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.664191404 +19103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.964909291 +19106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.927074489 +19104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.145222421 +19107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.956213477 +19108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.10742294 +19110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.658564227 +19109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.640931126 +19112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.226272867 +19113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.522207372 +19111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.601679055 +19114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.235639354 +19115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 10.7062646 +19116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.591678946 +19118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.321870678 +19119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 10.25999776 +19120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.122545488 +19121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.872535527 +19117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.173327435 +19122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 11.73688206 +19125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.022057937 +19126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.727129132 +19123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.736524921 +19127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.114580741 +19129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.229253001 +19128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.25213856 +19124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 3.260125964 +19130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 3.715797056 +19131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.084630981 +19132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 3.903054057 +19133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.556812748 +19135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.24094217 +19136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.388897667 +19134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.320682822 +19138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.879851021 +19139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.768202637 +19137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.458442709 +19140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.095139214 +19141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 3.288728747 +19142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.219753251 +19143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.86187906 +19144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.502076544 +19146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.671220871 +19145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 2.351696286 +19149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.446277341 +19147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.396121773 +19148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.827339997 +19151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.809181583 +19150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.310299545 +19152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.060964417 +19155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.879670643 +19154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.744718479 +19157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.932636693 +19156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 3.725851738 +19158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.537422801 +19159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.579363915 +19153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.39172355 +19160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.741239636 +19161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.424422036 +19163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.841664784 +19162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.557132475 +19164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.144164289 +19167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.713614885 +19165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.405549092 +19166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.914818789 +19169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.295588148 +19168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.642222785 +19171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.540210859 +19170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 10.66233082 +19172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.696463645 +19173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.821345183 +19174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 2.906936736 +19175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.4506095 +19176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.932130328 +19177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.466895419 +19178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.25624847 +19179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.778281946 +19181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.850756665 +19180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.791123956 +19182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.592690438 +19183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.359443904 +19184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.860276482 +19185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.26379674 +19186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.891511826 +19187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.642599646 +19188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.946507599 +19189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.685972456 +19191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 2.895470672 +19192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.406410032 +19193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.014269863 +19194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.173314241 +19190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.803124036 +19195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.924560532 +19197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.262292078 +19196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.502929218 +19198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.922000929 +19199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.054236165 +19200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.961575568 +19201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.981012394 +19203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.979777447 +19202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.804068409 +19204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.377345733 +19205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.311836546 +19207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.345577042 +19206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.095536165 +19209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.542096451 +19208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 10.01386562 +19212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.543411982 +19211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.737126353 +19210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.210395787 +19213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.240479929 +19214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 3.713238592 +19215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.367955673 +19217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.431359381 +19216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.439027068 +19218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.961850846 +19219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.418354828 +19220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.813652722 +19221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.514709086 +19222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 1.849414339 +19223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.668651003 +19224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.082766194 +19225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.02331217 +19226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.292868649 +19227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.589226989 +19229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.445597498 +19230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.428360769 +19231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 11.42314438 +19232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.967660816 +19233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.200397446 +19235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.6574299 +19228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.219913429 +19234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.253616149 +19236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.801822483 +19238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.628288744 +19237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.21054656 +19239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.660308309 +19240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.823215287 +19241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.553249366 +19242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.119232677 +19243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.608526209 +19244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 3.44313875 +19246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.577335609 +19248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.762863962 +19247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.079858917 +19249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.048199886 +19245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.039164367 +19251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.918141132 +19252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.855782131 +19254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.648282911 +19253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.246657301 +19255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.475920622 +19256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.0961242 +19250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.060895808 +19257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.263793959 +19258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.809363768 +19260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.918843096 +19261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.408025756 +19259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.452573444 +19262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.602734626 +19264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.573397767 +19263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.132175058 +19266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.024965414 +19265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.503882351 +19267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.626618193 +19268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.252537954 +19269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.692966368 +19270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.951313272 +19272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 3.200496587 +19271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.431274116 +19274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 11.91085801 +19273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.7820477 +19275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.562388223 +19278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.251510289 +19279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.943374324 +19276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.535345199 +19277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.637032321 +19280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.775103369 +19281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.445169238 +19282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.850177221 +19283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.9925827 +19284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.990586035 +19286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 10.14840841 +19287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.968490954 +19288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.010053275 +19285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.016079223 +19289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.730147026 +19290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.816858501 +19292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.130378756 +19291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.488399599 +19293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.127171 +19294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.951705649 +19295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.73396633 +19297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.386550428 +19298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.690800809 +19296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.899432741 +19299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.114838098 +19300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 3.701284126 +19301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.049368501 +19302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.949669596 +19303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.223122531 +19305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.369954431 +19304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.153830448 +19307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.752334058 +19308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.750636848 +19309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.638792095 +19306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.201757813 +19310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.508890858 +19311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.37949206 +19313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.2248538 +19314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 11.35534192 +19315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.072553087 +19312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.933826982 +19316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.798055196 +19318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.705871681 +19319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.777846117 +19317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.351603135 +19320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.46064047 +19324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.59165894 +19321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.714577427 +19323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 11.51343767 +19325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.258837431 +19322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.843764532 +19326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.639824001 +19327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.582050849 +19328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.714632133 +19329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.634283302 +19330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.108164672 +19331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.744345218 +19332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.433557589 +19333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.026552361 +19334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.268289776 +19335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.292351465 +19336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.871208046 +19338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.991956126 +19337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.367858634 +19339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.84352828 +19341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.571193757 +19342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.636988031 +19340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 10.40146654 +19343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.356082262 +19344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.212439513 +19346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.533088764 +19345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.12054893 +19347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.939702576 +19348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.75568351 +19349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.347935705 +19350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.222680241 +19351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.762578545 +19352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.105607681 +19354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.249249144 +19353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.647948664 +19355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.896596996 +19356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.983214907 +19357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.521665648 +19358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.425107975 +19362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.343308443 +19359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.693500816 +19363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.072847723 +19361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.236776669 +19364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.675515167 +19365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.606071862 +19366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.397166854 +19360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.928591296 +19370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 3.079132009 +19369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.514392002 +19367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.28825896 +19368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.848632269 +19371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.456915727 +19373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.690987185 +19372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.205094638 +19374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.874324494 +19377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.570879439 +19376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.020835129 +19375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 10.02410073 +19378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.111778877 +19379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.514073203 +19381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.733777578 +19382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.122748055 +19383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.941616571 +19384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.243570534 +19385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.867106901 +19380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.711895601 +19387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.193674997 +19386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.742086277 +19388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.459492003 +19389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.616647194 +19391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 3.284797683 +19390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.652890394 +19392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.302026191 +19394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.548884774 +19393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.631415901 +19395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.738950759 +19397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.839113773 +19396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.609820698 +19399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.270510082 +19400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.563381959 +19398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.040730972 +19401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.351514171 +19402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.148121046 +19405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.176321256 +19404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.356601777 +19406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.89547149 +19407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.681074712 +19410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.487542815 +19409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.791052548 +19408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.383816899 +19403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.657963299 +19411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.78101456 +19413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.826023639 +19412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.318102227 +19415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.996633427 +19414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.572970104 +19418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.987526243 +19416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.691344267 +19417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.58669447 +19423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.662701329 +19420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.366083916 +19421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.205399529 +19419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.025160981 +19424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.869772683 +19425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.182505688 +19422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.83760992 +19426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.185667483 +19427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.513210472 +19430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.260628908 +19428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.602620302 +19429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.415435066 +19431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.093430309 +19432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.294377038 +19433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.37342632 +19434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.119468818 +19435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.803637205 +19438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.70799188 +19437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.144642167 +19436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.42149942 +19440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.488450368 +19439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.285312618 +19441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.154918097 +19442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.418614763 +19443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.815987339 +19445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.272961565 +19444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.120660395 +19446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 1.838098086 +19448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.891585297 +19447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.122884039 +19450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 1.960639428 +19449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.884875198 +19451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.655433887 +19454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.360858849 +19453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.013114743 +19452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.998577977 +19455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.403140929 +19456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 11.22672575 +19457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.04934948 +19459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 10.19048421 +19458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.003247161 +19462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.828512326 +19460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.817407904 +19461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.244351305 +19464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.352277929 +19463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.874748474 +19465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 11.47725831 +19466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.017792703 +19468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.057445262 +19469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.63287407 +19470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.775659507 +19472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.855899175 +19471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.311622717 +19467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 10.8639554 +19474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.837830241 +19473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.503932258 +19475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.425712591 +19477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 2.86714012 +19476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 3.436517828 +19478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.934852553 +19479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.269427352 +19480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.548326183 +19481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.409506866 +19482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.434654216 +19485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.624994359 +19484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.299195045 +19483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.489383116 +19487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 12.38872978 +19486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 2.809449303 +19488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.705533474 +19490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.661831813 +19489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.327910039 +19493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.00517411 +19492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.932750331 +19491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.081233733 +19494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.466105229 +19495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.627609497 +19498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.269713734 +19497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.458590624 +19496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.824203338 +19499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.024109488 +19501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.170611993 +19500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.467647828 +19502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.718747878 +19503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.083593439 +19504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.315103773 +19505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.127821576 +19507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.919744015 +19508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.081528714 +19510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.773163152 +19509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.253860353 +19511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.361130159 +19506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 11.21881482 +19512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 11.3823998 +19513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.195964707 +19514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.123974259 +19515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.008062412 +19517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.970105398 +19516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.593829328 +19519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.303049725 +19518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.980223881 +19520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.64119262 +19521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.109649848 +19522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.673101872 +19523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.188213689 +19524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.567904276 +19526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.343853168 +19525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.279677889 +19527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.594114835 +19529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.81984539 +19530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.202697585 +19531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.435319301 +19528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.084699601 +19532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.628689684 +19534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.75080307 +19533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.29675781 +19535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.491432346 +19537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.888795699 +19536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.184557939 +19538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 13.04894844 +19539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.15813673 +19540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.933397265 +19541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.045608891 +19542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.918103749 +19543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.65524005 +19544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.852166964 +19545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.180834392 +19547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.255505568 +19546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.85507393 +19548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.230265872 +19549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.667100495 +19551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.734613161 +19552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.353623606 +19553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 10.67891868 +19550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 13.54835708 +19555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.824857787 +19554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.12172903 +19556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.626648652 +19557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.836279869 +19558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.247065956 +19559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.511372668 +19560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.940142871 +19561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.184819507 +19562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.336835561 +19563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.640273267 +19564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.200226237 +19565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.896205711 +19566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.533743762 +19567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.88485252 +19568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.587832476 +19570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.151849638 +19571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.640886658 +19569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.002197135 +19572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.488925711 +19573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 10.74883744 +19574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.430689206 +19575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.548703958 +19576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.303801799 +19577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.112307992 +19578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.786580507 +19579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 10.0603649 +19580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.06813326 +19582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.519470859 +19584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.242329942 +19583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.481256975 +19581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.493340944 +19585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.385983062 +19586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.960773565 +19589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.394439808 +19587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.307804746 +19588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.674388123 +19590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.170427878 +19591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.429475136 +19592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.091850148 +19594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.616863966 +19593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.368752238 +19597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.48800201 +19595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 12.88138704 +19596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.862864425 +19598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.978163561 +19599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.29925768 +19601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.790378341 +19602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.775985198 +19600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.033683593 +19604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.440461429 +19607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 3.571523371 +19603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.359413294 +19606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.072026631 +19605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.294723626 +19608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.11313759 +19610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.366915935 +19609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.384846394 +19611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.565857132 +19613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.823768827 +19612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.63968258 +19614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.080884258 +19615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.282719504 +19616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.285099428 +19617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.375362119 +19618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 3.668849684 +19619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.653980015 +19620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 2.738146547 +19621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.978637434 +19622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.248428415 +19623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.548020815 +19624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.621896771 +19625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.443255198 +19626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.36556112 +19627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.945833307 +19629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 10.96248816 +19628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.005965582 +19630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.44959885 +19631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.243263302 +19632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.525199081 +19633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.370623645 +19634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.405856489 +19637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.465638809 +19635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.244265335 +19636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.794237684 +19638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.127087881 +19640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.277882927 +19639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.584556603 +19641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.949542836 +19642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.658527163 +19644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.538773874 +19645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.176756738 +19646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.376391099 +19643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.576737323 +19648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.339411605 +19649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.011377563 +19651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.881501389 +19647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.520932683 +19650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.998893636 +19653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.785175776 +19654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 3.091679431 +19652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.270753189 +19657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.757893586 +19658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.986148498 +19656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.010152954 +19655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.859812667 +19659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.623547865 +19660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.803732147 +19661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.739256897 +19662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.245893744 +19663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.845444095 +19665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.937108697 +19667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.442236302 +19664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 10.60405195 +19666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.250025496 +19670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.255829121 +19669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.180309133 +19668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.343180933 +19671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.962327424 +19672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.584280571 +19674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.627299715 +19673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.247598572 +19677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.595120486 +19676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.917598929 +19678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.389004304 +19675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.118318071 +19679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.740427389 +19681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.059076421 +19680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.573466013 +19682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 11.13421919 +19684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.646945364 +19683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.495499346 +19685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.55267315 +19686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.418115173 +19687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.341693198 +19688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.885570173 +19689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.17817848 +19690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.001086286 +19693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.467947786 +19692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.553066513 +19691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.936637795 +19695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.848527068 +19694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.431591962 +19696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.630789363 +19698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.157102566 +19697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.587855312 +19699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.115141639 +19701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.429107303 +19700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.232167166 +19702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.564142554 +19703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.31345427 +19704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.064464508 +19705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.959138904 +19706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.59160619 +19708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.65195517 +19709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 2.369888639 +19707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.577831795 +19710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.027355877 +19712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.300989293 +19713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.757386071 +19714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.714375702 +19711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.998968426 +19715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.434234148 +19716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.096839174 +19717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.848723906 +19718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.416471845 +19720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 10.13598542 +19719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.555341613 +19723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.345416573 +19722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.970108967 +19724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.388549562 +19721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.647355534 +19725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.307011303 +19726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.631249769 +19728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.802020199 +19727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.728576527 +19729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.591171423 +19731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.368803224 +19730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.659143966 +19732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.165894999 +19733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.454401741 +19734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.597750877 +19735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.749787226 +19736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.418696624 +19738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.055822764 +19739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.296231797 +19741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.589783902 +19740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.943417329 +19737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.293130322 +19742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.74905079 +19743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.766877338 +19744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.938643839 +19745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.032248883 +19748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.577917949 +19746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.185703352 +19750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.685051766 +19747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.338287471 +19749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.561770098 +19751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.428931049 +19752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.04331969 +19753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.438171272 +19754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.766011736 +19756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.585558253 +19757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.854798592 +19758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.291631253 +19755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 2.985372149 +19759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.621738561 +19761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.485534914 +19760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.939449592 +19762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.598334499 +19764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.618914681 +19765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.865146582 +19763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.31744215 +19766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.131207635 +19767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 10.13884151 +19768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.128229598 +19770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.433608065 +19769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.649192919 +19771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.073656368 +19773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 10.1619024 +19772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 10.5836731 +19775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 10.28772909 +19774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.708831393 +19777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 11.68220771 +19778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 2.791969407 +19779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.246410273 +19781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.374214268 +19780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.004258013 +19776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.46231526 +19782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.698175418 +19784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.816735305 +19785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.322642431 +19783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.615595937 +19789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.342200343 +19788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.6633869 +19787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.614568445 +19786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 10.41393929 +19790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.317896589 +19792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.138813095 +19793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.885984944 +19794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.690819346 +19791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 11.6001973 +19795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 3.654251735 +19796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.514889324 +19797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.345487239 +19798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.715318728 +19799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.307057399 +19802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.551981295 +19800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.176170854 +19804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.241008522 +19805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.322117795 +19801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.801270802 +19803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.43580542 +19806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.001613528 +19807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.627091715 +19808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.47818962 +19809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.138161856 +19810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.202705062 +19812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.576636455 +19811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.40246131 +19815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 3.432418764 +19814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.212415374 +19813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.908885342 +19816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 3.337230889 +19818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.7330783 +19817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.062498992 +19819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.600861999 +19820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.283045497 +19822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.446193421 +19821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.035572247 +19825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.421892633 +19824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.014735403 +19826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.234334026 +19827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.291925502 +19828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.474878715 +19823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.770293183 +19829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.252728689 +19831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.43112879 +19832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.114370949 +19834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.066582838 +19835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.4937029 +19830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 10.51479101 +19836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.691461444 +19833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.326716131 +19837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.071518874 +19838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.452904521 +19841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.974818197 +19842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.60182282 +19840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.678854745 +19839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.40000766 +19843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.333925772 +19845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.470626234 +19846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.821015531 +19847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 10.65915047 +19849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.187201417 +19848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.951984696 +19844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.956737582 +19850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.579406172 +19851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.835506455 +19852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.663886786 +19853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.740114024 +19854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.861274822 +19858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.409162078 +19856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.751906408 +19857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.010845077 +19855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.282984127 +19859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.670716881 +19860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.199335975 +19862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.10663942 +19864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.520995031 +19863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.552564132 +19861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.163459287 +19865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.061696732 +19866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.783929831 +19867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.096232061 +19868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.966004005 +19869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.380503222 +19871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.069310747 +19872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.476720823 +19874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.786426524 +19875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.713027718 +19870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.543041124 +19873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.503935353 +19876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.781425352 +19877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.679566902 +19878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.832266275 +19881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.770461806 +19880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.410706919 +19882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.394157807 +19879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.256717711 +19884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.277957623 +19885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.350376491 +19886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 2.85863728 +19883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.789628192 +19887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.638330647 +19888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.066014358 +19890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.735806279 +19889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.318152194 +19891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.032578531 +19892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.025499477 +19893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.506364445 +19894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.0817392 +19895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.475815963 +19898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.974498828 +19897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 10.64143639 +19899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.063851993 +19901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.391045517 +19900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.653980111 +19896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.464861978 +19902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.559453015 +19903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.332857613 +19906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.341959932 +19907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.009651002 +19904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 10.58015767 +19908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.978155537 +19909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 3.871458488 +19905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.545142206 +19910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.834862678 +19912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.290293743 +19911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.432670094 +19913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.334632348 +19914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.088949749 +19915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.44889087 +19917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.848857181 +19916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.52267115 +19920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.701156041 +19919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.527837011 +19921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 10.72523109 +19918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.380953978 +19922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.764224534 +19923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.518202324 +19924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.353436132 +19925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.358955224 +19926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.847548154 +19927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.966240258 +19928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.184884813 +19931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.346505875 +19932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.522325131 +19933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.025646075 +19930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.875522917 +19929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.364654614 +19934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.688883753 +19935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.174659355 +19937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.347996922 +19936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 11.30526907 +19938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.546702365 +19939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.030269153 +19940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.334686874 +19941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.052379525 +19943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.624020518 +19942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.641243631 +19944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 3.185693364 +19945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.993313562 +19946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 3.302064273 +19947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.247212766 +19948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.063424631 +19950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 12.55715738 +19951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.063063154 +19952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.372939818 +19953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.972742799 +19949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.721672811 +19954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.618484188 +19955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.64229887 +19956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.036527082 +19957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.091719008 +19958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 8.07998602 +19960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.533250554 +19959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.36072973 +19961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.952708117 +19962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.210297927 +19963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.983671377 +19964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.304407582 +19965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.661466296 +19966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.107908424 +19967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 10.0236063 +19968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.21092259 +19969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.752454972 +19970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.155597245 +19971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 3.493834863 +19972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.90211182 +19973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.058060523 +19974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.542580388 +19975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.953082292 +19976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.030867651 +19977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.578720488 +19979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.271505749 +19980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.374830094 +19978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.47467065 +19981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.106157005 +19982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.64210329 +19983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.664862108 +19984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.345183956 +19985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.707299878 +19986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 13.00458835 +19988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.736068998 +19990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.666041578 +19989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.452180712 +19987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.679987463 +19991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 7.357040485 +19994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 3.549991732 +19992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.519607927 +19993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.695487601 +19995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.844120787 +19997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 5.208044957 +19996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.002131935 +19998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 9.87956389 +19999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 4.136096964 +20001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.379965086 +20000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 6.355472189 +20002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.749521062 +20004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.203852157 +20006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.294373139 +20003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.495794441 +20005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.673596709 +20007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.68886862 +20008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.319567456 +20009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.510408057 +20011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.880616239 +20013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.898905057 +20014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.251362194 +20012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.188031568 +20015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 2.983169671 +20010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.779839556 +20016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 2.935926211 +20017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.824166497 +20018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.716938666 +20020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.132044179 +20021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 11.91402381 +20022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.712590951 +20019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.480006217 +20023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.410035997 +20024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.901983098 +20025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.29570178 +20026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.765945519 +20027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.440468768 +20029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 2.934667927 +20030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.632966871 +20028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.729581582 +20033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.91287627 +20032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.708580735 +20034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.086908204 +20031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.725030201 +20036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.332776474 +20035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.796563399 +20037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.507903949 +20038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 10.81717992 +20040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.561868448 +20039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.958151744 +20041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.239419244 +20042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.711001142 +20044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.803612379 +20043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.133039704 +20046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.19563852 +20047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.440586661 +20045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.340111556 +20048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.930339951 +20049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.056896435 +20051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.053057565 +20052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.539670628 +20053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.654370278 +20054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.225465284 +20050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.542855726 +20055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.145663962 +20057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.100711594 +20056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.640962867 +20059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.272395421 +20058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.083754626 +20060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.71098686 +20061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.612770986 +20062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.534722499 +20064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.20849502 +20063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.983971244 +20065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.012206674 +20067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.952823582 +20066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.312182242 +20069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.719095311 +20068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.045518516 +20070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.711378102 +20071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.122001182 +20072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.647471596 +20073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.475895223 +20074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.181604893 +20075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.296812352 +20076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.723833031 +20077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.995785065 +20079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.210325299 +20080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.40040985 +20078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.823657685 +20082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.857003643 +20083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.885643986 +20081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.492725186 +20084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.839388764 +20085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.597040699 +20086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.110232178 +20087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.784761756 +20088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.776751481 +20089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.248760863 +20090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.982050552 +20091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.651787942 +20092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.916317575 +20093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.024011917 +20094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.396756486 +20097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 10.03088884 +20095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.301458284 +20096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.350946284 +20098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.199158496 +20099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.2689508 +20100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.983394413 +20101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.280459138 +20103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.414051327 +20102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.19936864 +20104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.51231915 +20106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.625661469 +20107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.615454147 +20105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.920270611 +20108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.06598689 +20110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.613689749 +20111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.460712025 +20109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.648949448 +20113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.605414621 +20112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.477779929 +20114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.198701259 +20115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.93524277 +20116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.621493234 +20117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.358476862 +20118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.294820463 +20119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.424421099 +20120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.6012936 +20121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.766326929 +20123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.616805627 +20122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.170402749 +20124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.708855109 +20125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.375398012 +20126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.426980924 +20128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.672839832 +20129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.084933782 +20127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.090505652 +20131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.852948888 +20132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.063395219 +20134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.620831495 +20133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.713158385 +20135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.219977854 +20137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.848033399 +20136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.495265789 +20130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.354744504 +20138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.279399222 +20139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.498656579 +20141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.74097231 +20140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.473345962 +20143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.937707797 +20142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.546777658 +20144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.084674048 +20145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.206672044 +20146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.156841344 +20148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.820164334 +20149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.020054361 +20147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.267252542 +20151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.168242242 +20150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.396467443 +20153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.933192623 +20154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.698031423 +20156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.387585616 +20155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.9374936 +20157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.98438521 +20152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.024214892 +20158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.508482645 +20159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.894925334 +20160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 2.445739245 +20162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.983042128 +20165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.937223008 +20163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.868652087 +20164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.83429531 +20161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.247491541 +20167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.067657015 +20166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.192705624 +20169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.144152481 +20170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.316064408 +20172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.929536306 +20171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.379949983 +20173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.828641928 +20175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.720902 +20174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.05082873 +20176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.60150098 +20177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 10.06095178 +20178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.126182803 +20168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.096209992 +20179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.309224585 +20180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.3211655 +20182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.554115173 +20181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.731748062 +20183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 2.239614028 +20184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.804630067 +20187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.64639304 +20186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.886014569 +20188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.259301772 +20189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.348819093 +20190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.418594578 +20185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.304437054 +20191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.539190872 +20192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.059005911 +20193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.469433706 +20195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.533624177 +20196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.668568264 +20197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.587563742 +20194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.614810091 +20198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.288634923 +20199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.285199173 +20200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.349309074 +20201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 2.422444106 +20204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.910372562 +20203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.295816357 +20202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.918607968 +20205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.385577509 +20207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.612686214 +20208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.101166606 +20206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.368274744 +20210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.548448346 +20209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.240966331 +20211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.290674598 +20212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.791284417 +20213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.764555499 +20214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.514514969 +20216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.126690003 +20219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 2.795116687 +20215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.650281508 +20218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.829988544 +20220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.212292185 +20217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.980592138 +20222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.522995205 +20223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.037992464 +20221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.589517708 +20225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.412067627 +20227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.04894078 +20226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.597332718 +20224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.951980814 +20228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.529516682 +20229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.799979597 +20230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.408302553 +20231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.940803461 +20233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.087914987 +20235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.733392465 +20234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.779012189 +20236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.148056095 +20232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 11.97214987 +20238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.885478534 +20237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.506859266 +20241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.941783231 +20240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 10.19109633 +20239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.767485737 +20242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.181873241 +20243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.234412245 +20244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.406883768 +20246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.962510061 +20245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.389142345 +20248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 2.773441991 +20250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.927824669 +20249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.347364291 +20251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.746645924 +20252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.324749026 +20254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.840984078 +20247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 12.58331175 +20255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.819780112 +20253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.174377664 +20256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.635001968 +20258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.434886444 +20257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.409635913 +20259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.170815278 +20262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.630603862 +20263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.991684236 +20261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.710611921 +20260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.529936747 +20265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.366175914 +20264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.338218904 +20266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.579732061 +20267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.452510571 +20268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.693818606 +20269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.201987929 +20273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.434406871 +20271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.503154053 +20270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.000757529 +20272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.298116033 +20274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.300859481 +20275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.769670636 +20276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.475922661 +20277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.981823807 +20279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.314819326 +20280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.743306142 +20281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.82506237 +20278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.958249166 +20284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.014520489 +20283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.029732243 +20282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.297021548 +20285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.915723966 +20288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.954526068 +20286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.618178764 +20289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.266914746 +20287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.582866839 +20291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.763812644 +20290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.516606685 +20293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.144586376 +20294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.624122367 +20292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.546703237 +20295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.775391969 +20297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.836189921 +20296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.18842133 +20299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.373144143 +20298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.439641654 +20300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.405217233 +20304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.943629911 +20305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.846499567 +20302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.917920129 +20301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.038178704 +20303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.025199236 +20306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.322089519 +20307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.852221797 +20308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.134142052 +20309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.251596124 +20310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.317583383 +20312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.548353262 +20313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.74588928 +20315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.733586999 +20314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.250433892 +20316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.974294729 +20317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.502204868 +20318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.367706751 +20311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 10.02842651 +20319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.055471001 +20320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.393553568 +20321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.357296466 +20323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 2.846084349 +20322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.957331708 +20324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.156659962 +20325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.455472631 +20327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.401228496 +20326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 10.51343325 +20329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.803232277 +20330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.938653684 +20331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.009378516 +20328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.453248843 +20332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.257637676 +20333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.841931721 +20334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.100280496 +20336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.216381757 +20338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.651123738 +20339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.313049334 +20340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.233648899 +20337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.883718053 +20341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.090181154 +20335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.929993328 +20342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.698369108 +20345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.610475308 +20347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.073220262 +20343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.43852523 +20344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.784088438 +20348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.258935261 +20346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.407772518 +20349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.057496255 +20350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.854853711 +20351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.001727244 +20355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.407505477 +20354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.594997198 +20353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.373848707 +20352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.145018395 +20356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 2.828269827 +20357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.87691424 +20358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.631694474 +20359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.904299563 +20360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.078874246 +20361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.024096544 +20362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.04860123 +20363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.908478185 +20364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.685056802 +20365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 10.41322912 +20366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.581083273 +20367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.758904323 +20369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.078866809 +20368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.364576154 +20371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.905430756 +20372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.095859457 +20370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.279267674 +20374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.251834989 +20373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.553664913 +20376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 2.329719697 +20377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.412255502 +20375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.165505961 +20379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.392031303 +20378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.179774397 +20380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.01258155 +20381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.240271857 +20384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.240860652 +20382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.648203638 +20385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.271193477 +20387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.044022699 +20383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.704020575 +20386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.467902264 +20388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.155678642 +20389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.896197096 +20392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.913752086 +20391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.801199998 +20390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.363848694 +20393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.517640476 +20395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.518355081 +20394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.92125702 +20396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.813694177 +20397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.304833591 +20399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.433501431 +20400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.320144976 +20398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.118821859 +20401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.180490013 +20402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.884796236 +20403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.09479713 +20405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.738733665 +20407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.611109812 +20406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.497154303 +20404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.558381788 +20409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.063257108 +20408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.146925728 +20410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.1809651 +20411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.01910846 +20413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.303636433 +20414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.435804297 +20415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.879341066 +20412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.143780438 +20417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.800922358 +20416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.599073167 +20418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.648242638 +20420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.02456084 +20419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.674750779 +20421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.33372015 +20423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 2.826615429 +20424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.008493108 +20422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.506914118 +20425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.910558435 +20426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.792717992 +20428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.85265379 +20427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.726354732 +20429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.059058294 +20431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.449351222 +20433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.620206749 +20430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.79008033 +20432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.307890275 +20434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.036971977 +20435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.137832434 +20436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.752756674 +20437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.827176236 +20440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.404141922 +20439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.012761302 +20441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.99618936 +20438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.374144982 +20444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.365091503 +20443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 2.973685275 +20445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.582975226 +20447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.44648555 +20446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.932695726 +20449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.131578161 +20442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.288145266 +20450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.535974232 +20448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.629209439 +20451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.454562148 +20452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.177455351 +20454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.686966997 +20453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.182307382 +20455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.716938332 +20457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.976273498 +20456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.917228857 +20458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.846418759 +20459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.723330118 +20460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.049653949 +20461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.468098383 +20462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.961966501 +20464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.094461813 +20465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.567180447 +20466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.108287801 +20463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.66234714 +20467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.893572938 +20468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.003733042 +20470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.182859216 +20471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.197135797 +20469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.544719028 +20474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.613573096 +20475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.957230513 +20472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.029860774 +20476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.581153128 +20473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.422381059 +20477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.164381876 +20478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.184213949 +20480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.23154034 +20479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.364249914 +20482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.041909742 +20484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.517847935 +20483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.305358853 +20481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.185270131 +20485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.779730581 +20486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.424327101 +20487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.864615549 +20488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.229194264 +20491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.976141752 +20490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.950730308 +20492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.407508435 +20489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.052386374 +20493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.352639261 +20494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.10762358 +20495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.914403911 +20496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.497914873 +20497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.746726415 +20498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.544863621 +20499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.690577533 +20500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.977518458 +20502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.051052436 +20501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.211857478 +20503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.835198447 +20504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.460199759 +20505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.587796203 +20506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.826997512 +20507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.837639654 +20508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.598312234 +20510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.954943378 +20509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.012748611 +20511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.818567296 +20514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.180291329 +20512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.027286374 +20515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.005223989 +20513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.384854838 +20518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.672329387 +20517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.804767516 +20516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.680764587 +20519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.44086431 +20521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.906507277 +20520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.851040748 +20522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.185841327 +20523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.432352775 +20524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.75334623 +20525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.492766138 +20527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.890509523 +20526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.442909949 +20528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.291376895 +20530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.434516512 +20529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.732870779 +20531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.195231511 +20532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.074706926 +20533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.213195782 +20534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.936619714 +20535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 10.73162978 +20536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.708935726 +20537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.458285329 +20539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.46199204 +20538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.263072143 +20540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.597376063 +20541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.520458484 +20544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.787930225 +20545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.812975113 +20543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.539025065 +20542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.241851776 +20546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.171077319 +20547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.646682066 +20549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.003911099 +20548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.477798777 +20550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.615166482 +20553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.134301911 +20555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.318626964 +20551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.343082686 +20552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.661027971 +20554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.843082826 +20556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.015350441 +20557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.151654134 +20558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.743679045 +20559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.6581568 +20560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.475250931 +20561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.648132121 +20563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.670491758 +20562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.168331237 +20564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.977077578 +20565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.858237137 +20566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.949097458 +20567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.628492185 +20568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.865560836 +20569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.809376156 +20570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.315206569 +20571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.051782853 +20572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.599517941 +20573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.092650863 +20574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.439638792 +20575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 10.16992607 +20576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.457407984 +20577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.151245933 +20578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.43592213 +20580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.644036672 +20579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.815384148 +20582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.702833941 +20581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.443678603 +20583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.143943417 +20584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.472708263 +20585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.965878592 +20586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.268833282 +20587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.582585839 +20588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.694959291 +20589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 10.88403286 +20591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 10.96436466 +20590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.418041942 +20592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.262214061 +20594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.632546398 +20593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.257187609 +20595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.337148724 +20597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.993767364 +20599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.413151306 +20598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.38226326 +20596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.555931511 +20600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.45190043 +20601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.742212368 +20602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.047813491 +20603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.079940452 +20605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.211563567 +20604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.998298165 +20606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.963377141 +20607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.722598177 +20608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.489260053 +20609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.962641115 +20610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.588122757 +20613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.765650958 +20611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.566559398 +20614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.934329772 +20612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.667145855 +20616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.773535174 +20615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.229099264 +20617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.615499305 +20618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.987206073 +20619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.65252898 +20621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.13584277 +20620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.521551412 +20622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.939244367 +20623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 10.6809594 +20624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.833037938 +20625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.737475832 +20626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.115506595 +20628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.569699029 +20629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.064071939 +20627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.196016789 +20630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.292754464 +20631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.22557556 +20634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 10.47555294 +20633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.370214202 +20632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.186448489 +20636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.968105081 +20637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.287119453 +20635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.997494673 +20638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.239466476 +20639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.37275919 +20640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.658846426 +20641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.84147114 +20642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.912188637 +20643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.336880714 +20645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.38186152 +20646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.21673493 +20644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.338186572 +20647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.954537964 +20648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.102953089 +20649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.54751948 +20650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.938913384 +20651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.767835187 +20653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.804806339 +20652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.534676761 +20654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.829799518 +20655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.397717189 +20656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.077856252 +20657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.872215078 +20660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.719390608 +20661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.342060965 +20659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.463990193 +20662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.790993417 +20658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.040967764 +20663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.177907274 +20664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.905817144 +20665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.943955228 +20667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.231012351 +20666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.944385009 +20668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.673920268 +20669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.386545006 +20670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.741209628 +20671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.777613971 +20672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.671429592 +20673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.139837913 +20675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.995560731 +20674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.143684606 +20676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.031731939 +20677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.381875208 +20679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.789362437 +20680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.052821091 +20681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.029062453 +20678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.04200174 +20682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.251218188 +20683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.691483106 +20684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.802043237 +20685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.866317716 +20686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.979026182 +20687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.92710959 +20688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.338388191 +20689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 10.34992198 +20691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.192624746 +20690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.065423733 +20692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 10.01496328 +20693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.808766735 +20694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.001431733 +20695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.001046475 +20696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.962185343 +20698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 2.070497326 +20699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.137377183 +20700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.474699023 +20697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.793857583 +20701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.901686981 +20702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.602940028 +20703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.161251094 +20704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.368703061 +20705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.377370372 +20706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.407681968 +20707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.553678769 +20708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.944075925 +20709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.04227935 +20711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.475246591 +20710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.317878854 +20712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.954564434 +20713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.403282909 +20715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.32760802 +20714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.043547199 +20716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.129600567 +20717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.216155289 +20718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.513990377 +20719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.190232932 +20720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.366227356 +20721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.296810374 +20722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.677992503 +20723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.603259344 +20724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.719525392 +20725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 10.55328307 +20726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.632751452 +20727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.085566425 +20729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.375862558 +20728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.417985038 +20730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.152041851 +20731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.209220409 +20732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.729680571 +20733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.266876174 +20734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.500690203 +20735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 2.596321787 +20736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.15549323 +20737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.581283267 +20738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.152870593 +20739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.079742681 +20741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.237679792 +20742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.523882199 +20743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.129790649 +20745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.858682515 +20740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.833097622 +20744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.577689507 +20746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 1.881262082 +20747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.843052141 +20748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.176767125 +20750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.243328141 +20751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.354617845 +20749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.141170273 +20753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.153141165 +20752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.717578945 +20754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.406593909 +20755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.961004039 +20756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.349429585 +20757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.053598884 +20758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.209898469 +20760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.137222141 +20759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.531690935 +20762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.92185408 +20763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.213412986 +20761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.500427082 +20764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.890742186 +20765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.442608811 +20766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.315882593 +20768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.014707317 +20767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.044789096 +20769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.729931703 +20770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.213298383 +20771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.723429567 +20772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.96377578 +20773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.00545351 +20774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.66090617 +20776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.443568083 +20775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.337290785 +20778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.8558105 +20777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.319543978 +20780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.007886456 +20779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.199806112 +20782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.478748009 +20781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.191781283 +20784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.536699439 +20783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.292515294 +20785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.481189196 +20786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.398266027 +20787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.168169363 +20788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.978534737 +20789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.30736676 +20791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.525445829 +20792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.944042653 +20790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.768348991 +20793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.060676392 +20794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.849976538 +20795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.581160018 +20798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.866287529 +20796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.189954656 +20797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.656519367 +20799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.342230687 +20800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.681695887 +20801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.82080508 +20802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.562145663 +20803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.180789904 +20805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.272190738 +20804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.837495689 +20807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.306719068 +20806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.860608791 +20808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.588382528 +20810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.856938033 +20809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.01145947 +20812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.709371629 +20813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.841240292 +20811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.322432829 +20814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.574705657 +20815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.654698529 +20816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.999674514 +20817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.312007441 +20821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.230036524 +20820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.565902032 +20818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.382235376 +20819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.994140908 +20823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 2.700645821 +20822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.663299637 +20824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.678913832 +20825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.786732954 +20827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.353135211 +20826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.048330824 +20829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.821942184 +20831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.378314491 +20832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.787599295 +20830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.750270882 +20833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.927278471 +20828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.186321793 +20834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.094125043 +20835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.016269574 +20836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.980241448 +20837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.003998585 +20838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.530530798 +20839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.485400472 +20840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.704258902 +20842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.750791281 +20843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.060108933 +20844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.306275162 +20841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.901316819 +20847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.985884906 +20845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.945355444 +20848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 10.30479916 +20846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.8247447 +20849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.286348567 +20851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.290198211 +20850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.633363085 +20852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.871614173 +20853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.719900389 +20854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.507858348 +20856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.392678872 +20857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.760399651 +20858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 11.04987671 +20859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.045370874 +20855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.529695967 +20861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.561611788 +20860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.030761105 +20862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.869668725 +20863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.217085316 +20864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.130078935 +20865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.870805423 +20867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.848514526 +20866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.547255992 +20868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.974620604 +20869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.552003954 +20870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.080520357 +20871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.961938196 +20872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.953093014 +20874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.984140015 +20873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.349892789 +20875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 10.61863499 +20876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 13.63918254 +20877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.928506159 +20878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.78481104 +20880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.69905125 +20879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.718469672 +20882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.073819779 +20883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.08347404 +20881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.640925726 +20884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.990211457 +20885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.271872091 +20887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.158345253 +20888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.799191327 +20886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.412920582 +20889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.762297122 +20890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.085377426 +20892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.629715893 +20891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.215667868 +20894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 10.14200841 +20895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.112664877 +20896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.665841132 +20893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.837055499 +20897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.515483412 +20898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.900525161 +20900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.273251833 +20899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.338176272 +20901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.255326369 +20904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.630266563 +20903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.560322875 +20902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.331217692 +20907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.662539982 +20905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.711989148 +20908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.25629156 +20906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.683843389 +20909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.665569652 +20910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.77208701 +20912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.52633456 +20911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.030663502 +20913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.711985303 +20916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.171682015 +20915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.663491231 +20914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.835277602 +20917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.594924661 +20918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.47966019 +20920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.861015657 +20921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.400659823 +20922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.499995109 +20923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.342132229 +20919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.981521362 +20924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.583713657 +20925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.127726154 +20928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.625359848 +20929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.825326574 +20930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 11.06806735 +20927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.174790008 +20926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.015717429 +20931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.3393552 +20932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.863223953 +20933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.080164005 +20935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.791382185 +20937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.122608156 +20936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.088092746 +20934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.499713578 +20938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.392575672 +20939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.341561043 +20940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.834032068 +20941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.880750835 +20942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.356310249 +20944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.566802827 +20946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.797700466 +20945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.849149271 +20943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.252543624 +20949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.794701788 +20950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.681889942 +20948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.625141337 +20953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.099797197 +20952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.355512228 +20947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.435314704 +20951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.33541392 +20954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 10.84885043 +20956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.32997004 +20957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.674646317 +20959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.416413843 +20961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.432045741 +20955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.435486307 +20960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 11.40941665 +20958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.652429869 +20962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.348700564 +20963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 3.239309884 +20966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.5719968 +20964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.586035874 +20965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.101419601 +20968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.241306811 +20969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.348197672 +20967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.659234513 +20970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.066861937 +20971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.542216387 +20972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.469934692 +20974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.20125566 +20975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.865438103 +20976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.238187303 +20977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.238803817 +20973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.119050659 +20979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.594979505 +20980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.106442024 +20978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.955712314 +20981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.654870126 +20982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.322910825 +20983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.165737721 +20984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.697930875 +20985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.637734684 +20986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.853803095 +20987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.342272499 +20988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.856952876 +20990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.026783656 +20989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 8.225229007 +20991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.593255689 +20993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.422112619 +20992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.465692006 +20994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 6.031572551 +20996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 9.525660381 +20997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.400674951 +20998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 7.219452809 +20999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 5.136828639 +20995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 10.32300653 +21000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 4.995260125 +21001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.585932595 +21002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.991811883 +21003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.510630098 +21004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.544452595 +21006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.483560509 +21005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.247105374 +21007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.22704297 +21008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.008857204 +21010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.405525471 +21009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.094036717 +21011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.00276755 +21012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.469877313 +21013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.654657974 +21014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.165296449 +21015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.880586862 +21016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.287360211 +21018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.096742978 +21019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.902631523 +21017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.292329744 +21020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 9.694799291 +21021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.446431259 +21023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.539883254 +21022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.54680895 +21024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 2.580917395 +21027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.378655061 +21029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 10.9258143 +21028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.748156726 +21030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.04266738 +21031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.278761812 +21026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 9.066456228 +21025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.416937057 +21033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.900587087 +21034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.043950138 +21035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 9.860891785 +21032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.928198695 +21036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.474153554 +21038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.313647604 +21037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.749074362 +21040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.772752833 +21041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.98255355 +21039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.818707392 +21042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.855564472 +21044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.796823208 +21043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.58887998 +21045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.941036782 +21046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.833286345 +21047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.210189087 +21052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.488843423 +21048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.535680718 +21050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.685009295 +21051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.030181325 +21049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.442938473 +21054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.689650532 +21053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.654921279 +21055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.236984609 +21057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.815140864 +21059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.182198226 +21058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.959603843 +21060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.271284569 +21056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.406656828 +21061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.034379751 +21062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.234265431 +21064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.66731369 +21063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.397499095 +21065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.566664213 +21068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 2.679569877 +21066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.743732904 +21069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.56472525 +21067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.682770963 +21070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.390721633 +21072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.573700159 +21071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.834813269 +21073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.847010669 +21074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.811130973 +21075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.844586973 +21076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.022471629 +21077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.369092229 +21078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.616979316 +21080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.216078534 +21081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.837868626 +21079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.229577809 +21082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.769151842 +21084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.859290066 +21083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.657943379 +21086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.410426363 +21087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.16010585 +21089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.813755509 +21088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.05596503 +21085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.2153678 +21090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.685797501 +21092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.251840236 +21091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.073520677 +21093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.271689753 +21095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.269416678 +21096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.042200718 +21094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.023979991 +21098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.855974927 +21097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 12.10897437 +21099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.453000723 +21100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.57747036 +21101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.448896335 +21103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.273838434 +21102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.888799223 +21105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 9.825897425 +21104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.712349083 +21106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.738747266 +21107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.029435335 +21108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.293882675 +21110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.825436206 +21112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 9.010092329 +21109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.01645587 +21113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.67072117 +21111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.531655866 +21115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.385910032 +21116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.09737513 +21114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.86897134 +21117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.24841253 +21119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.932226573 +21120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.552816802 +21121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.232241332 +21118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.016992402 +21122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.553257067 +21123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.462125348 +21124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.140260875 +21125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.275891431 +21128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.740745984 +21127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.177868584 +21129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.20660767 +21126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.601109312 +21130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.224704801 +21131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.251294645 +21133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.225503123 +21132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.994928896 +21135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.782931979 +21134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.211491974 +21137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.489445198 +21138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.413032314 +21136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.285523342 +21139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.286755762 +21140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.979620351 +21142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.032883453 +21143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.757820012 +21141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.701877903 +21145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.930572082 +21144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.493404898 +21146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.232152898 +21147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.154274183 +21148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.393926894 +21149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 9.476213511 +21150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.558774753 +21153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.265920603 +21151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.378247703 +21152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 9.892177209 +21154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.168350384 +21156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.207715896 +21157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.925347861 +21158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.89741716 +21159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.371990443 +21155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.774558987 +21161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.243024324 +21162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.418182818 +21160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.55539949 +21163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.805870443 +21164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.456092044 +21165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.648005966 +21166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 2.143488364 +21167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.039476817 +21168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.037649642 +21169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.211324516 +21171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.507007486 +21170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.904150949 +21172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.55765454 +21173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.802246357 +21174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.623289751 +21175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.449861488 +21176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.87106264 +21178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.143010046 +21179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.83534324 +21180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.987532061 +21181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.034666263 +21182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.230824353 +21183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.186571328 +21177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.989226388 +21184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.622241388 +21185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.684295547 +21188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.650425192 +21186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 10.3289371 +21190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.378141011 +21187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.979906268 +21191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.786101026 +21189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.615866641 +21192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.876486518 +21193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.142040025 +21194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.947763261 +21197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 9.064876088 +21195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 2.793077579 +21198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.734906774 +21199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.614440911 +21196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.762101146 +21201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.984304412 +21200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.870968947 +21202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.992545875 +21203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.764154602 +21205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.782473635 +21206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.90785513 +21204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.609899092 +21207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.056460398 +21208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.021231102 +21210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.247121999 +21209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.208498076 +21212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.667667211 +21213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.648695073 +21214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.19636283 +21211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.867230902 +21216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.772780089 +21215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.109000674 +21218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.099748176 +21219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.47792499 +21217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.742446832 +21220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.701610903 +21222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.956141414 +21221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.34135454 +21224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.138712472 +21223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.255307387 +21225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.648313367 +21226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.728057558 +21227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.820797423 +21228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.212874395 +21229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.114084394 +21232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.935748095 +21230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.274677724 +21231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.136911966 +21233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.283933588 +21234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.769244159 +21235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 10.2162462 +21236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.833812519 +21237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.181489165 +21238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.766659688 +21240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.854884805 +21241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.900045117 +21239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.926586114 +21242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 9.537035836 +21243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.913405298 +21245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.666449003 +21247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.274300091 +21246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.098685437 +21244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.588476191 +21250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.748409627 +21249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.63831515 +21251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.419757731 +21248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.297562331 +21252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.021499837 +21255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.508000146 +21254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.873157695 +21258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.303767038 +21256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.470651348 +21259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.150407532 +21253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 10.05452046 +21257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.04811848 +21260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.599211567 +21261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.476437069 +21262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 2.612032055 +21263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.993445238 +21264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.602089536 +21266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.844859836 +21265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.493685462 +21267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.430012117 +21268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.60068661 +21269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.861111057 +21270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.642977003 +21272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.81174571 +21273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.559789458 +21271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.790396962 +21274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.168708715 +21276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.772747496 +21278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 10.99435969 +21275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.978323682 +21277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.946423548 +21279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 9.093239073 +21280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.276742131 +21281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.883436536 +21282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.119498489 +21284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.741120514 +21283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.425444011 +21287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.132483645 +21286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.820745027 +21288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.548673259 +21289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.743662872 +21290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.225836904 +21291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.392242823 +21293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.873850471 +21285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.578279299 +21294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.640218514 +21292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 11.04015953 +21295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.96046089 +21296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.809155746 +21297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.121312783 +21298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.706103139 +21299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.112657739 +21300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.80299604 +21302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.961389544 +21301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.513188061 +21303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.067046671 +21304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.852531894 +21305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.842659268 +21306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 2.811512031 +21307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.932604817 +21310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.08421807 +21309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.825553172 +21312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.950829632 +21311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.927113905 +21308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 2.53476434 +21313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 2.856238604 +21314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.836572356 +21315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.142262821 +21317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.623159257 +21316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.117203684 +21319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.836909571 +21318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.778962508 +21320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.478363036 +21322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.956753508 +21321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.980096778 +21323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.488002922 +21324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.052412702 +21326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.415812863 +21325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.641587624 +21327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.784462487 +21328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.876723192 +21331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 9.772141191 +21329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.524177112 +21330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.898994133 +21332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 9.088547717 +21333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.956815737 +21334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 9.142388849 +21336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.552723914 +21335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.275753169 +21337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.691087233 +21338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.465838192 +21339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.322665098 +21341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.689368757 +21340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.736610522 +21342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.708235061 +21343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.330157968 +21345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.32495368 +21346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.029969408 +21347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.044613801 +21350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.147244551 +21349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.629140643 +21344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.847609506 +21348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.394885525 +21353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.317095932 +21352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.706941382 +21355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.025548135 +21356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.320369837 +21357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.991951725 +21358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.286771323 +21351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.631691329 +21354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.893801575 +21359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.55469301 +21360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 10.33505235 +21363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.440208536 +21364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.161696604 +21366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.43625406 +21362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.199446827 +21365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.197164015 +21361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.356353081 +21367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.725560686 +21369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.049115289 +21368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.647736026 +21370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 9.812722309 +21371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.109166966 +21374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 2.384083436 +21372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.772914617 +21375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.434648627 +21373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.419226089 +21376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.584811394 +21378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.319007261 +21381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.163254687 +21377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.437893126 +21380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.85150252 +21382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.459555578 +21379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.591939799 +21383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.468345281 +21386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.237789025 +21384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.985033313 +21385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.344428726 +21387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.240672975 +21388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.565798212 +21390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.831942679 +21389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.588607923 +21392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 9.336526459 +21393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.867494764 +21394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.092851492 +21391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.390111693 +21395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.88886494 +21396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.852183276 +21397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.600025105 +21398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 10.36921512 +21401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.21221776 +21400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.89933522 +21399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.128287751 +21403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.995832089 +21404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.407829533 +21402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.984191136 +21405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.483924438 +21408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.642153969 +21406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.29553806 +21407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.056365244 +21409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.44904337 +21410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.126074805 +21411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.897627306 +21412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.915319116 +21416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.139316944 +21413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.558345991 +21414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.318361262 +21415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.978019792 +21419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.875251121 +21417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.277248549 +21418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.830795058 +21420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.927608365 +21423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.651227268 +21424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.753510032 +21422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.120150874 +21421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.801446759 +21426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.003567528 +21427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.526102001 +21425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.407757479 +21428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.800952167 +21431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.260432391 +21429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.124341042 +21433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.580795289 +21432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.955606352 +21430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.623943623 +21434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.687139043 +21435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.610085123 +21437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.203920466 +21436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.536519384 +21438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.771710411 +21441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.356233352 +21442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.466667968 +21440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.558168973 +21443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.220598677 +21439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.565463778 +21444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.719758301 +21445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.181360693 +21446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.599652214 +21447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.246903774 +21449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.795927408 +21450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.256106479 +21448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.523138792 +21451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.701651256 +21452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 2.873697967 +21454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.063957622 +21453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.780915832 +21456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.931471632 +21458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.533577977 +21457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.444504004 +21455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.192093425 +21459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 2.670848386 +21460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.05793456 +21463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.742095506 +21461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.621885567 +21462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 9.619282341 +21467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.970802006 +21465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.209779631 +21466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.973322244 +21464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.78799941 +21468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.748254216 +21469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.646926016 +21470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 9.809375191 +21472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.541324225 +21471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.03965198 +21474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.684810832 +21473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.628708913 +21475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.008429152 +21476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.087729988 +21477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.050595326 +21478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.434303268 +21479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.564257477 +21481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 2.708632724 +21482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.738525508 +21484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.711309751 +21483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.82499231 +21480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.723921395 +21485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.909779421 +21486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.853037709 +21487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.497642339 +21489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.326072269 +21488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.144385704 +21490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.240474093 +21491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.999766493 +21492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.393276832 +21493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.149945716 +21494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.190327153 +21495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.238324384 +21497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.165993206 +21496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.558855642 +21498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.459474398 +21499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.318867615 +21501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.603047531 +21502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 9.366853791 +21504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.637183305 +21500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.071815047 +21503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.402290613 +21506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.481960373 +21505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 9.028293918 +21507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.923942019 +21508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.398916118 +21509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.296381046 +21510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.559487276 +21512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.536737936 +21513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.554733555 +21514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.021805604 +21511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 2.810372803 +21515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.740549525 +21516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.132249444 +21517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.348071837 +21518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.771485756 +21519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.917580978 +21520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.991922603 +21521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.943322814 +21524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.729000108 +21522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.151038389 +21523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.391600902 +21525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 9.213733001 +21526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.197889004 +21527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.392674736 +21529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 9.24020096 +21531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.907256129 +21528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.402702153 +21534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.196220956 +21535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.550497724 +21532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.129408665 +21533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.039873774 +21530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.540450805 +21537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.906017275 +21536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.397370597 +21538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.837913736 +21539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.52614724 +21540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.539586002 +21542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.28372872 +21541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.372126775 +21545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.611059675 +21546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.069681952 +21543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.425311367 +21544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.703759624 +21548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.288346443 +21547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.083099683 +21552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.149894725 +21551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.466973769 +21553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.755861863 +21554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.136269139 +21549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.993062948 +21550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 9.316018966 +21556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.278597514 +21555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.161656692 +21557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.243336014 +21558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 2.625704595 +21559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.229916552 +21560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.708772762 +21561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.794625288 +21562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.827019629 +21564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.845242859 +21566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.806826496 +21567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.663235369 +21565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.848412311 +21563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 9.00547598 +21568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.544190279 +21569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.415082357 +21571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.09496009 +21575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.042971887 +21570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.687262126 +21573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.551660086 +21574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.609279292 +21572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.31834531 +21577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.918256571 +21576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.210725442 +21578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.904921604 +21584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.539625911 +21581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.36097641 +21583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.601676503 +21585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.420481542 +21579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.905185266 +21582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.396719925 +21580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.271342976 +21586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.621713507 +21587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.060058919 +21589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.652520305 +21591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.160819062 +21592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.305396537 +21588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.786948938 +21590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.144628039 +21593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.345470939 +21594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.055685379 +21595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.204019895 +21596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.41386813 +21597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.290437374 +21600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.020872832 +21599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.20403463 +21598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.529830362 +21602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.094711447 +21601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.610113947 +21603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.793631689 +21605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.252833284 +21604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 10.55697537 +21606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.255743838 +21607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.645249349 +21608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.159941541 +21610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.776558366 +21611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.294564588 +21609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.601609456 +21612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.779143705 +21613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.961017835 +21614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.931069618 +21615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.795402496 +21616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.865531338 +21618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.342998747 +21619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.538918964 +21617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.080913203 +21620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.450489318 +21621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.806357193 +21622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.638092381 +21623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.962481367 +21624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.628738745 +21625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.653259883 +21627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.468800673 +21626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.84545094 +21628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.23351994 +21630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.588613952 +21631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 10.52538926 +21629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.563257553 +21632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.496730505 +21633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.328636446 +21635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.105605793 +21634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.524672831 +21636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.147487551 +21638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.605699419 +21637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.042360458 +21639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.376465718 +21640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.816432111 +21641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.306736157 +21642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.881804049 +21644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.915957622 +21646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.434738496 +21645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.565933408 +21643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.18596832 +21647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.435539567 +21649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.906829668 +21650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.537427353 +21648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 10.08685057 +21651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.766557469 +21652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.958493358 +21654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.663947201 +21653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.903630294 +21656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.745699904 +21657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.29625619 +21658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.33303837 +21655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 9.122587268 +21659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.856660115 +21662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.960157325 +21660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.61774045 +21661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.226670769 +21663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.786062621 +21664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.146145794 +21665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.944198065 +21667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.107542233 +21668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.35147332 +21669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.562190039 +21670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.70305207 +21671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.157514327 +21672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.342377706 +21674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.536480539 +21673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.342505129 +21666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.39954725 +21677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.550906973 +21675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.175024467 +21676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.690289541 +21678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.14443015 +21681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.623331137 +21680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.809479091 +21682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.113486523 +21683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.39515804 +21684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.325561615 +21679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.689337938 +21685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.624384039 +21686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.460334703 +21687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.282664353 +21690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.182210744 +21691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.251105372 +21688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.53220779 +21689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.521441537 +21692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.80156905 +21693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.764131309 +21694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.108055484 +21695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.737290211 +21698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.256166443 +21697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.533019878 +21699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 9.878486116 +21696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.91312694 +21700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.911418115 +21701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.789999972 +21702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.688501522 +21704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.694149075 +21703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.497944087 +21706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.64834626 +21707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.799037839 +21705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.970846214 +21708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.884506837 +21710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.037008798 +21711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 9.345182068 +21712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.239556264 +21714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.666271194 +21713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.051136588 +21715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.384491785 +21716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.663941864 +21709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.709235959 +21717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 2.180818326 +21719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.857823906 +21718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.350338102 +21720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.870687981 +21721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.484736995 +21722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 9.045869917 +21723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.34199108 +21724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.39161704 +21725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.363183318 +21727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.018516387 +21726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.075531093 +21729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.023535783 +21728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.233818023 +21730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.090366951 +21731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.191567792 +21733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.921349402 +21734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.913801295 +21735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 2.921572533 +21732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.203081606 +21736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.230380949 +21737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.205160413 +21739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.500316241 +21738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.445491427 +21740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.470295631 +21741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.059808555 +21742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.035152819 +21743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.119404265 +21744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.171924977 +21745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.019350527 +21746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.451502045 +21747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.225005039 +21748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.887229464 +21749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.389179899 +21750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.926229386 +21752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.40446631 +21753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 1.87889824 +21754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.033534003 +21755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.443397177 +21756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.856155563 +21751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.867640755 +21757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.526952603 +21758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.465693947 +21759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.843002197 +21760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.441564624 +21761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.052313414 +21762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.463162366 +21763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.229404103 +21765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.826967514 +21766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.774545685 +21764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.971535956 +21767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.027659042 +21768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.876997429 +21769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.02087363 +21771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.629932285 +21770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.848827069 +21772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.846925084 +21773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.452603334 +21775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.66883831 +21776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.124584224 +21777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.533568652 +21778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.597690748 +21774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.183784398 +21779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.73453054 +21781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.889578728 +21780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.06591865 +21782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.721904841 +21783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.311105183 +21784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.837488756 +21785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.47507211 +21787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.317203935 +21786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.015730175 +21789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.378212955 +21788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.221258197 +21790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.222227842 +21791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.29098098 +21792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 2.831888913 +21793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.368638757 +21795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.410295555 +21797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.268228805 +21796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.800592214 +21794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.465358533 +21798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.428374427 +21800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.785036266 +21799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.674669435 +21802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.018271675 +21801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.86976114 +21803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.16890782 +21804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.477925426 +21805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.470587262 +21806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 10.25813375 +21807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.829165419 +21808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.462457696 +21809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.397345232 +21810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.655513013 +21811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.843535448 +21812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.585417572 +21814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.549084028 +21815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.65838691 +21816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.519524982 +21817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.8919809 +21818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 9.844503612 +21813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.496787932 +21820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.194755952 +21819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.818564466 +21821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.413880587 +21822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.744810862 +21823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.160341911 +21824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.878311028 +21825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.91370298 +21827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.429540122 +21828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.755508452 +21826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.106488905 +21829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.235080818 +21830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.78224323 +21831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.159933329 +21832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.422216477 +21833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.998381614 +21834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.322137755 +21835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.440740242 +21836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.622187717 +21837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.452611688 +21838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.325867415 +21839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.353366749 +21840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.552918654 +21841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.443099112 +21842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.993093421 +21843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.899636286 +21844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.654558577 +21845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.421682051 +21846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.894509244 +21847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.959479458 +21849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.431094531 +21848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.620359208 +21850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.171676249 +21851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.428758973 +21852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.231572418 +21853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.066557191 +21854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.068065783 +21855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.842885694 +21856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.940334214 +21857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.477740854 +21858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.213308153 +21859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.148291268 +21861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.845356103 +21862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.049313463 +21863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.959785255 +21860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.612675253 +21864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.633719397 +21865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 9.584312229 +21866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.956166466 +21868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.037073502 +21870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.321082911 +21867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.160155462 +21869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.496834117 +21871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.082951876 +21872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.861283779 +21873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.365085006 +21874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.724630215 +21875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.035722169 +21877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.424880026 +21876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 9.076664207 +21878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.956949048 +21880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.806725781 +21881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.750090278 +21879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.140772808 +21882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.085292839 +21883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.322053671 +21884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.586836317 +21885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.90642317 +21887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.463269803 +21888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.33132867 +21886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.108303001 +21889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.906991308 +21891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.589664178 +21890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.584423652 +21892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.122670217 +21893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.02372493 +21894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 10.27967901 +21896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.327588868 +21895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.287050567 +21898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.290293247 +21897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.438857209 +21900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 2.466033814 +21899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.877581832 +21901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.612436874 +21902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.475556841 +21903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.52520363 +21904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.842806854 +21905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 9.713788412 +21906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.304351201 +21908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.162077166 +21909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.261306668 +21907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.043832107 +21910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.662197522 +21913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.785473109 +21911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.984205741 +21912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.120185775 +21914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.052926675 +21915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.501773108 +21916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 10.82471766 +21918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 2.646570339 +21917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.937174201 +21920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.054877164 +21919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.208806439 +21921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.612833322 +21924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 9.670522499 +21925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.692315316 +21923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.403494181 +21922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.201307059 +21926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 9.126874291 +21927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.413044168 +21928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.422895554 +21929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 9.28592742 +21932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.114888868 +21930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 2.978001414 +21934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.057779828 +21931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.606705225 +21933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.983035056 +21935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.2662203 +21936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.173996925 +21937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 9.715690406 +21939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.996931716 +21941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.056037193 +21938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.117887297 +21943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.757132195 +21940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.881325295 +21942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.60089367 +21944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.392300761 +21945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.557764515 +21948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.574890289 +21947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.155193359 +21946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.0374137 +21949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.281114139 +21950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.445182435 +21951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.853835527 +21952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.008797789 +21953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.685546644 +21955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.574682116 +21956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.783210683 +21957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.123729935 +21954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.575224592 +21958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.388451038 +21959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.708431576 +21960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.898206155 +21961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.886317017 +21964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.037366024 +21963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.544297163 +21962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.18674748 +21968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 9.191857226 +21965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.530801128 +21966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.762216836 +21967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.146349083 +21969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.68405914 +21970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.735476644 +21972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.123316361 +21971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.104250085 +21974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.065223731 +21976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.21444821 +21973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.558146131 +21975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.857295624 +21977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.308605094 +21978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.73589863 +21979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.892073211 +21980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.621632314 +21981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.720736928 +21983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.915339299 +21984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.876285905 +21985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 9.596070692 +21986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 3.956132531 +21982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.188501223 +21987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.746489472 +21988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.432360052 +21989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 8.941930841 +21991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 6.684706112 +21992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.648020786 +21993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.701714776 +21990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.203881916 +21995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.171729683 +21994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.651392838 +21996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.741256581 +21998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.780721848 +21997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 5.237900444 +21999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 4.079748999 +22001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.187204933 +22002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 10.24742126 +22000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 7.087960481 +22004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.286119875 +22005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.235297539 +22006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.43532696 +22003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.470820468 +22007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.776468328 +22008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.201103615 +22009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.677630808 +22010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.612687637 +22011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.903862768 +22013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.729592628 +22012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.766057977 +22015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.805425079 +22016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.928984167 +22014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.812944365 +22017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.013451027 +22018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.890906922 +22019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.64906464 +22021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.51765364 +22022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.995126365 +22023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.847517137 +22020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.752478519 +22025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.905033788 +22026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 1.855624294 +22024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.438215408 +22027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.843371982 +22028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.985980697 +22031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.466237621 +22030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.559151831 +22032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.338883048 +22033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.406500494 +22035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.599681464 +22029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.264530047 +22034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.001771513 +22036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.93197011 +22038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.75494797 +22037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.508022922 +22039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.843827382 +22040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.702205077 +22042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.909531586 +22041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.37055505 +22043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.864843969 +22045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.190494521 +22047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.011370172 +22046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.285537584 +22044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.286942311 +22048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.456621753 +22050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.716763007 +22049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.585836475 +22051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.9234564 +22052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.136263812 +22054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.543700835 +22055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.262383924 +22053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.078149396 +22058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.914076144 +22057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.856152943 +22056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.92574472 +22060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.52166136 +22059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.530697079 +22063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.413305633 +22062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.25233301 +22061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.982754983 +22065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.410184611 +22064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.290283158 +22066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.138394213 +22067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.22116275 +22071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.707412117 +22070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.614345773 +22069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.214741021 +22072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.670839952 +22068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.996230995 +22073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 2.633506115 +22074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.333857574 +22075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.26774025 +22076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.998750433 +22077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.033177644 +22078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.712204799 +22079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 9.171371331 +22080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.215938862 +22081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.434917331 +22082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.759287476 +22083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.372759256 +22084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.25483929 +22086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.394823047 +22087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.093538962 +22085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.296161142 +22090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.711707489 +22089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.653325147 +22091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.235802193 +22092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.40667463 +22093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.002180136 +22088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.465621539 +22095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 9.991166056 +22094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.222159925 +22097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.74905785 +22098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 2.557225734 +22096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.397710048 +22099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.032799713 +22101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 12.12774551 +22102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.47012301 +22103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 9.395891062 +22104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.701359933 +22100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.283922797 +22105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.071802215 +22106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.168196064 +22107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.098555539 +22109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.857398581 +22110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.335997454 +22111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.682514653 +22112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.43060598 +22113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.081217186 +22114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.128014832 +22108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.144901209 +22116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.296493939 +22115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.911000849 +22117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.617018224 +22118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.609310523 +22120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.963803106 +22121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 10.77078595 +22119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.030394167 +22122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 9.707908274 +22124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.626906185 +22123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.567952783 +22125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.771357023 +22127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.975240586 +22129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.756255464 +22128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.670968154 +22126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.916178991 +22130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.520507251 +22131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.331541327 +22132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.862834551 +22133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.952232757 +22134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.775232834 +22136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.308752622 +22135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.272998188 +22138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.283897971 +22139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.300632528 +22141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.483769189 +22140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.795894041 +22137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.999041733 +22143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.199707578 +22142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.756556353 +22144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.024426735 +22145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.995617669 +22146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.332632816 +22147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.901082883 +22148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.572078961 +22150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 2.976437164 +22149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.658010842 +22151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.841248895 +22152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.374106857 +22153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.597412072 +22154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.775028899 +22155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.355870102 +22156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.100391574 +22157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.610642562 +22159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.011503106 +22160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.633348968 +22158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.669807746 +22161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.351503933 +22162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.24877009 +22163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 9.648884861 +22164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.772903593 +22165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.194543791 +22166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.061546984 +22167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.427671316 +22168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.551761217 +22169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.0146485 +22170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.054113728 +22171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.119990854 +22172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.425061664 +22174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.335238148 +22173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.967855463 +22177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.348928474 +22175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.382033041 +22176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.793731758 +22178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.330748117 +22179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.064047724 +22180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.532453241 +22181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.122545731 +22182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.429324214 +22184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.529316208 +22183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.324676642 +22186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.893758668 +22185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.328317254 +22187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.879054652 +22188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.781088756 +22190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.527841505 +22189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.616792796 +22191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.138635329 +22192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.866315706 +22193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.604339259 +22194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.352108744 +22195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.644356992 +22196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.182556132 +22197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.136605848 +22198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.679440829 +22199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.282170079 +22200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.181286729 +22201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.198789567 +22202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.898279487 +22203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.971924974 +22204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.105683502 +22205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.365620976 +22207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.669427519 +22208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.005826411 +22206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.964745271 +22209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.422794935 +22211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.187767576 +22210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.989206046 +22213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.22490104 +22212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.347542903 +22214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 2.384440262 +22215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.307137749 +22216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.868707228 +22217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 2.785804381 +22218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.109844578 +22219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.667539487 +22220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.572287475 +22221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.704805472 +22222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.238392602 +22224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.074809377 +22223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.647580122 +22225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.751794191 +22226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.710189194 +22228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.349557821 +22229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.790738936 +22227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.938199054 +22231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.152532407 +22232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.115363543 +22230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.144522238 +22233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.230186743 +22234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 1.61674326 +22235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.045622879 +22236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.326776186 +22238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.061445575 +22239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.547126093 +22240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.384304128 +22237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.478316241 +22241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.693898318 +22242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.560265304 +22243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.710208676 +22245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.397559832 +22244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.434935185 +22246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.347876455 +22247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.739738078 +22249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.7473137 +22250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.892048895 +22248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.080826942 +22251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.094804328 +22255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.137028089 +22254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.786410144 +22253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.767958234 +22252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.812086805 +22256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.53610645 +22257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.357829946 +22258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.117912274 +22261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.364002826 +22260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.057325552 +22263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.212552915 +22262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.30637761 +22264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.056226668 +22259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.418979681 +22265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.072293082 +22267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.628658067 +22269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.447426776 +22270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.396025944 +22266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.690731306 +22268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.302068941 +22272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.954728849 +22271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.788400567 +22273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.304820395 +22274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.549582834 +22277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.063359714 +22279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.01354167 +22280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.434488652 +22278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.337107779 +22276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.700359425 +22275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.62615902 +22281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.497258473 +22282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.023079066 +22283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.241999142 +22285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.221439056 +22287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.493700162 +22288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.710429255 +22284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.416188427 +22289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.0919122 +22286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.680908841 +22290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.136673256 +22293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.076866327 +22292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.899195867 +22295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.015302119 +22291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.72749529 +22294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.554147728 +22296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.359408639 +22297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.310458587 +22298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.848301448 +22299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.01020654 +22300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.246655813 +22302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.74585073 +22301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.48637493 +22303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.964546996 +22304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.229926427 +22306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.125492385 +22305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.731587432 +22307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.366931018 +22308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.758954098 +22309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.60110643 +22311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.084391855 +22312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.652619302 +22313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.870295081 +22310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.032025678 +22314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.928815888 +22316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.731143008 +22315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 2.836648334 +22317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.776616666 +22318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.845842304 +22319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.363716811 +22320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.743206792 +22322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.318219074 +22324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.271364652 +22325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.707384898 +22321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.313823515 +22326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.009859806 +22323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.143992005 +22328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.620197813 +22327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.688465723 +22330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.145505641 +22331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.256611633 +22329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.807919274 +22332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.209039524 +22333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.845630362 +22334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.384298487 +22335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.079894464 +22336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.335793629 +22338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.939629173 +22340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.645119207 +22339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.807587149 +22337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.816774216 +22343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.505637975 +22341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.389871995 +22344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.280172859 +22342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.535141466 +22345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.224051171 +22348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 9.026274624 +22349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.739465275 +22346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.130394739 +22351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.340090462 +22350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.406709735 +22352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.469775489 +22353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.535928114 +22347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.626520499 +22354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.995198196 +22355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.478650098 +22356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.775017113 +22357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.608867633 +22358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.495595976 +22359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.380283884 +22360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.777355982 +22361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.39532353 +22362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.863104963 +22364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.562290849 +22363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.717091609 +22365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.592783045 +22367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.709204528 +22366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.810410738 +22368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.455202244 +22370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.629475333 +22372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.247880714 +22371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.118360142 +22369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.503308301 +22373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.34098224 +22374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.572624737 +22376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.929915382 +22375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.03185785 +22377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.255656988 +22378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.426884471 +22379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.836957537 +22380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.551853918 +22384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.682698105 +22381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.96204143 +22382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 9.335823504 +22383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.917887051 +22385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.971576155 +22386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.666746148 +22387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 1.856153917 +22388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.562661558 +22389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.949391938 +22390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.113559251 +22392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.993567479 +22391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.304499035 +22394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.306753443 +22393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.069652227 +22395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.0829706 +22397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.264475356 +22398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.369846496 +22396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.321179289 +22400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.597874636 +22399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.629065423 +22402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.18268003 +22401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.698627667 +22403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.945460328 +22404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.63992546 +22405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.658817417 +22406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.454502083 +22407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.359723486 +22408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.406003181 +22409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.495220859 +22410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.573915803 +22412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.286040189 +22411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.822876538 +22413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.064374791 +22415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.311048756 +22416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.357840581 +22414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.759722614 +22417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.501731349 +22419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.176461896 +22418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.555485444 +22420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.069767551 +22421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.587173903 +22423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.209324039 +22425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.951894898 +22422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.983741148 +22424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.506792181 +22428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.504934152 +22429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.097320048 +22427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.140024049 +22426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.858761089 +22430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.401365845 +22431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.41071522 +22432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.41063126 +22434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.102596033 +22436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.497006296 +22435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.332377714 +22437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.256096736 +22433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.003269979 +22438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.968506622 +22440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.894360487 +22439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.250605951 +22441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.707039934 +22442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.027972253 +22444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.600405722 +22443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.448385071 +22445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.469070751 +22446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.861126668 +22447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.242261971 +22448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.334417326 +22449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.616711236 +22451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.981454635 +22450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 9.763464384 +22452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.819769171 +22454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.994057383 +22455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.64940719 +22456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.023134857 +22457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.2127656 +22458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.177967896 +22459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.831813134 +22460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.803738864 +22453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.886809632 +22461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.543716416 +22463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.631221498 +22466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.979218121 +22464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.420951876 +22467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.801859968 +22465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.964969642 +22462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 2.801868049 +22468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.176362688 +22469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.995213429 +22470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.000275604 +22471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.122941683 +22473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.667514969 +22472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.938352355 +22475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.913882138 +22474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.425866843 +22476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 10.11138947 +22478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.223083219 +22479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 2.908605096 +22477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.592996313 +22480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.746824301 +22481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.053548081 +22483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.749573106 +22482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 2.444814699 +22485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.322067546 +22486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.687438009 +22487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.08966399 +22484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.106212602 +22488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.773302798 +22490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.636283202 +22489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.689256844 +22491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.423292461 +22494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.97120091 +22493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.903206811 +22492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.302014788 +22495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.305839028 +22496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.502655313 +22497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.913136538 +22498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.755768251 +22499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.112592059 +22501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.335879254 +22502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.768681665 +22500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.250654023 +22503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.290608741 +22504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.677504843 +22506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 9.43807006 +22505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.469758799 +22508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.935445628 +22509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.793256037 +22510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.190633061 +22507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.085827111 +22513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.248410539 +22512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.5524124 +22511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 9.846026041 +22514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.601872613 +22515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.050764367 +22517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.625375991 +22516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.439395026 +22518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.535150123 +22519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.378164597 +22520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.712640454 +22521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.099074153 +22522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.267434643 +22523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.145445911 +22525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.488641143 +22524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.310880486 +22526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.178382443 +22527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.548753928 +22529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.186237964 +22531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.456968234 +22533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.459702408 +22530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.049715111 +22528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.013577876 +22532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.910623943 +22534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.74051031 +22535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.389295965 +22537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 2.804262106 +22538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.455523955 +22539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.943238261 +22540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.737164466 +22536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.769560161 +22542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.900256697 +22543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.711436925 +22541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.856839677 +22544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 2.832058726 +22545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.150076693 +22547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.924888071 +22546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.054885706 +22548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.135270487 +22549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.270791496 +22551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.458847923 +22550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.757848943 +22552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.158348776 +22554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.568074482 +22555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.583399066 +22553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.861219481 +22557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.426611788 +22558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.936263775 +22560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.162936031 +22559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.678921387 +22556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.504584141 +22561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.420662256 +22562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.803384687 +22563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.255370804 +22566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.567457893 +22567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.035831221 +22565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.034911985 +22568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.732650399 +22564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.48329233 +22570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.291237316 +22571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.139733224 +22569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.595830048 +22572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.131946912 +22573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.95196213 +22576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.289297334 +22574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.513801749 +22577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.96431818 +22578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.817352949 +22579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.01252032 +22580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.465675259 +22575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.200630428 +22581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.463118149 +22582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.837403337 +22583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.13740636 +22585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.982405277 +22584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.009545244 +22586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.654070345 +22587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.130643537 +22588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.53457201 +22589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.245414909 +22590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.102611461 +22591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.633026429 +22592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.441478663 +22593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.669968227 +22595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.769624582 +22594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.269932702 +22597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 2.606749417 +22598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.716359552 +22599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.51211686 +22600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.082231735 +22601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.95490105 +22596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.545573936 +22602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 2.385846984 +22603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.298822203 +22605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.691894021 +22607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.461696093 +22606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.52221533 +22609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.923587954 +22608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.080073472 +22604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.917081724 +22610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.710635193 +22612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.035430575 +22613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.535127596 +22614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.083390742 +22611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.40488453 +22615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.423781411 +22616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 2.881617194 +22617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.298403424 +22618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.772216124 +22620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.225932169 +22621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.218648437 +22619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.88624201 +22622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.339275499 +22625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.290834984 +22624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.383684688 +22626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.903955157 +22623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.913218353 +22627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.219132677 +22628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.095242395 +22629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 10.13018807 +22630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.077310498 +22632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.817234058 +22631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.908343275 +22633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.242222009 +22636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.677978691 +22635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.544809959 +22637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.654374388 +22638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 2.96814317 +22634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.634590181 +22639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.167824983 +22640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.915684648 +22641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.672080251 +22642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.672195444 +22643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.73235508 +22644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 9.451724801 +22645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.310052483 +22647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.252052669 +22646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.739289878 +22649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.790708395 +22648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.858506614 +22650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.420886946 +22651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.960219722 +22652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.614814261 +22654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.407901503 +22656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.012384991 +22653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 9.08901912 +22657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.709507258 +22658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.56730371 +22655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.953194129 +22659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.283459883 +22660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.712306798 +22663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.343049676 +22662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.351424114 +22665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.444939955 +22664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.763970008 +22661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.828570155 +22667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.220867191 +22666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.573006659 +22668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.834138307 +22670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.593046916 +22669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.797399438 +22673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.73217758 +22671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.99934471 +22674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.605760558 +22672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.564888198 +22676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.263391973 +22675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.754380995 +22678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.777942722 +22677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.718175825 +22679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.834032318 +22680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.15535542 +22681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.861480372 +22682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.264426244 +22683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.739167106 +22686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.349078043 +22685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.799398963 +22687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.417343937 +22688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.693681295 +22684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.784176142 +22689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.752671861 +22691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.175535138 +22690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 2.908473285 +22693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.503489766 +22695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.101896912 +22694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.939165847 +22692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.393539144 +22696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.753136294 +22698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.349709496 +22699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.183900781 +22697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.389517187 +22700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.926649064 +22701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.742317487 +22702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 9.817191186 +22703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.251532768 +22705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.905466667 +22704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.585259285 +22706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.296422239 +22707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.388494897 +22708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.023380931 +22711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.705850591 +22710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 9.457665795 +22709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.812179685 +22714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.993755455 +22712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.184740508 +22715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.347750209 +22713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.610814951 +22716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.676098507 +22717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.14122892 +22718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.4376068 +22719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.903448379 +22720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.364521165 +22721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.452523232 +22725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.746391112 +22723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.513366211 +22726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.434142529 +22727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.98760462 +22722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.142909285 +22724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.134492492 +22729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.251943897 +22730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.060525498 +22728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.241171826 +22731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.685066806 +22734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.735963941 +22732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.855040135 +22735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.515847272 +22733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.597802522 +22737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 9.063730793 +22738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 9.784260467 +22740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.452941401 +22739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.150813296 +22742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.215124927 +22736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.110001295 +22741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.657742577 +22743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.293543713 +22744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.506140775 +22745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.24777214 +22748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 1.855451477 +22749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.609586133 +22750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.700092436 +22746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.367072397 +22747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.763128542 +22751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.433185775 +22752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.684562867 +22754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.494775135 +22753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.238900068 +22755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.395731794 +22759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.235421201 +22756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.229301491 +22757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.443751751 +22758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.154035184 +22760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.433842019 +22761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.524389722 +22762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.164438104 +22763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.584423946 +22765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.005705829 +22764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.978701205 +22767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.264580243 +22766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.194368728 +22769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.989501321 +22771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.045833509 +22770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.262275185 +22768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.369626912 +22772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.612711451 +22773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.176584588 +22774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.000583424 +22775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.465350422 +22778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.636801856 +22780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.742150102 +22779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 2.626971197 +22776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.455967979 +22781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.967585176 +22777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.449787877 +22783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.098597046 +22784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.815988378 +22786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.565074505 +22785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.873988675 +22788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.852032966 +22787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.688745664 +22782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.326585435 +22789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.483233197 +22790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.94476407 +22791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.364808398 +22792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.417970899 +22795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.121895775 +22793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.943384122 +22794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.129788681 +22796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.339382909 +22797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.728120577 +22798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.108845356 +22799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.507366938 +22800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.838283164 +22801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.217154708 +22802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.443031026 +22803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.285285414 +22805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.348284908 +22808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 11.19646198 +22807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.221598363 +22806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.747827163 +22809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.370414757 +22804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.583447742 +22811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.371248002 +22810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.801988927 +22812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.879973102 +22814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.839479415 +22815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.481836058 +22813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 2.880170933 +22816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.032644373 +22818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.069679835 +22817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.927239238 +22819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.830203756 +22820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.294850833 +22821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.806433093 +22824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.784657381 +22823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.424489854 +22822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.615999472 +22825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.078112571 +22827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.423248613 +22828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.427510199 +22826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.485521472 +22829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 9.198517353 +22830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.946501038 +22831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.265801908 +22832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.122639161 +22833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.486411755 +22834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.057068107 +22835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.189887337 +22837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.911614623 +22836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.748190159 +22838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.534082255 +22839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.669289606 +22840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.786299636 +22841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.084290772 +22842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.628447252 +22843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.704676289 +22844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.029748125 +22845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.259709985 +22846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.744820037 +22847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.405500263 +22849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.292502682 +22848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.314396926 +22850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.213742866 +22851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.218759504 +22852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.704395381 +22854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.927391997 +22855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.024545745 +22853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 9.288830393 +22856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.546360377 +22857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.806909039 +22858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.510989386 +22859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.391307662 +22860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.230210167 +22861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.518642271 +22862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.696829862 +22864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.493099468 +22863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.451258203 +22865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.628452028 +22866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.610403928 +22867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.495459241 +22868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.034274017 +22870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.879550222 +22869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.510000377 +22871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 9.616162503 +22873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.172949726 +22874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.247231671 +22872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.640765712 +22875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.228988382 +22876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.15006546 +22877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.164658978 +22878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.971126495 +22879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.175070064 +22881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.739849944 +22880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.807518906 +22882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.085803868 +22883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.254827131 +22884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.55922354 +22886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.244248762 +22885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.472323721 +22887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.946126928 +22889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.146587108 +22888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.224922011 +22892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.053901734 +22891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.03929072 +22893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.455634117 +22894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.886200106 +22890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.076417378 +22895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.514847414 +22897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.26111399 +22896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.486994801 +22898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.770558837 +22899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.711275343 +22900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.372777479 +22901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.613874118 +22902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.466939886 +22903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.49448575 +22904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.913034933 +22905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.424137159 +22906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.67429939 +22907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.275621165 +22908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.847771679 +22909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.425019112 +22911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.719052975 +22910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.119774446 +22912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.98746463 +22913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.259456552 +22914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.953224682 +22915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.866176252 +22917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.384961246 +22916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.226880727 +22918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.603100656 +22919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.156901512 +22920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.343503355 +22921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.182900429 +22922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.757026659 +22923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.323312288 +22925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.000518326 +22924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.162455136 +22926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.460956641 +22927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.495877699 +22928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.728047844 +22929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.797524231 +22930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.55892226 +22931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.623806326 +22933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.188630843 +22932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.920807806 +22934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.328507106 +22936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.566745729 +22937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.941632559 +22935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.161917996 +22938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.406345195 +22939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 10.25675381 +22940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.423595094 +22941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.861530697 +22942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.320701049 +22944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.061072951 +22943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.145050504 +22945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.934669487 +22946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.434403705 +22947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.203994243 +22948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.149638024 +22949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.919111599 +22950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.00610561 +22952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.715160679 +22951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.121168213 +22954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.889448405 +22956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.275400749 +22955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.517129796 +22953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.552173199 +22957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.276074282 +22958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.307854873 +22959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.288116993 +22960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 9.419443451 +22961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.351086986 +22963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 1.792974344 +22964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.715404049 +22965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.07133824 +22966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 9.890524551 +22962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.786021227 +22968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.518617306 +22967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.294140261 +22969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.374824072 +22970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.116992554 +22972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.354836641 +22971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.507911039 +22974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 2.846855135 +22973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.25132446 +22975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.201246882 +22976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.895453151 +22978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.710375831 +22977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.201689649 +22979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.793246064 +22981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.213739895 +22982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.620804335 +22980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.884207676 +22983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.051750237 +22984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.174214063 +22985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.301531062 +22986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.157833059 +22988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.142919347 +22987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.010437044 +22989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.241463444 +22990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 8.303513783 +22991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.263535297 +22992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.683674662 +22994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.946891232 +22993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.997478526 +22995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 5.102354864 +22996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 7.419923824 +22997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.318061066 +22999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 3.820470926 +22998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 4.67991938 +23000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 6.761055411 +23001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 8.174501378 +23002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.850279274 +23003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.423445488 +23005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.034835703 +23004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 1.998112149 +23006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.512681872 +23009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.255723713 +23007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.712958423 +23010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.26444517 +23008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.931894668 +23011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.676318504 +23012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.78298595 +23013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.32617428 +23014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.515823224 +23015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.534848614 +23016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.477969301 +23018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.811160363 +23017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.071712706 +23019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.112900993 +23020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.33521007 +23021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.499562816 +23022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.138537216 +23023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.715120946 +23025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.963632202 +23026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.117949929 +23027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.800439795 +23028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.535946196 +23029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.274376246 +23030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.700826281 +23024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.989366221 +23031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.708678292 +23033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.154766341 +23032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.593271146 +23034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.83473846 +23035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.833126507 +23036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.639066759 +23037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.265577696 +23038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.901143497 +23040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.819894938 +23041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.919726089 +23042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.157021655 +23043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.946895095 +23039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.686987316 +23044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.946761753 +23045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.627337355 +23047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.368461326 +23046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.575779869 +23048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.550171641 +23049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.662632111 +23050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 8.42165234 +23052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.968134594 +23051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.126563891 +23053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.248282572 +23054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.748824056 +23056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.086838992 +23058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.690311045 +23059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.122530946 +23060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.374634378 +23055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.975147468 +23057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.910462568 +23061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.476528188 +23062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 1.973522675 +23064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.876687714 +23063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.651698438 +23065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.277335737 +23066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.762097096 +23068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 2.83064112 +23069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.152195317 +23070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.554591767 +23067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.277085845 +23072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.608756148 +23071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.341114415 +23074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.737612375 +23073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.895749309 +23075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.508941117 +23076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.925242168 +23077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.107531744 +23078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 10.17132131 +23079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.564656047 +23081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.19023523 +23082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.433731014 +23080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.051725548 +23083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.336926045 +23084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.802176207 +23085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.467686332 +23086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.903084894 +23088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.596831119 +23089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.706386461 +23090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 10.06462765 +23091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.689638031 +23087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.509395238 +23092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.284683244 +23093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.619837617 +23095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.960615899 +23094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.938884655 +23097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.811649981 +23096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.021506509 +23099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.267668645 +23100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.385499549 +23098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.818376776 +23101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.885939776 +23102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.632396316 +23104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.704836874 +23103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.410625203 +23105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.345534009 +23106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.408861837 +23107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.313334704 +23109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.774996665 +23108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 8.346043895 +23110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.779038595 +23111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.465572135 +23112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.487690337 +23114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.245603337 +23115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.614403945 +23116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.344025712 +23113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 2.217387451 +23118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.638667606 +23117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.350652552 +23119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.408081945 +23121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.51247981 +23120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.873212264 +23122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.411246895 +23123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.386200941 +23125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.028880545 +23126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.894288434 +23124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 2.951993423 +23127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.811973888 +23129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 2.42888621 +23131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.629299191 +23130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.212295824 +23128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.663477009 +23133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.847851069 +23132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.731246361 +23135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.477761047 +23137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.06344263 +23136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.426639931 +23138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.478019677 +23139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.257682832 +23134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 2.930827937 +23141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.329919623 +23140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.741219764 +23142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.240262642 +23143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.529572069 +23144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.175239907 +23145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.038083238 +23146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.17930551 +23149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.568616562 +23148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.084279239 +23147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.84417399 +23150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.727745413 +23151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.480168946 +23154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.988604519 +23152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.618307563 +23153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.197397998 +23156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.139998743 +23155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.972359422 +23158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.531196882 +23159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.594860181 +23160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.691522473 +23161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.398263874 +23162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.144274185 +23163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.371864049 +23157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.404716985 +23164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.88463033 +23165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.311490491 +23166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.248861398 +23167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.34085183 +23168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.284334479 +23169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.830611963 +23170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.153464077 +23171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.177294472 +23172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.991399266 +23173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.749088335 +23175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.810686323 +23176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.348324288 +23174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 8.342486787 +23177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.449689909 +23178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.657733775 +23179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.501278146 +23180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.157594248 +23181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.031855914 +23183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.228591748 +23184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.333069178 +23185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.072630187 +23182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.813326195 +23187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.425128871 +23186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.138645195 +23188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.742990304 +23189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.331304516 +23191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 2.62814965 +23193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.370715539 +23190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.157940488 +23192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.468712675 +23194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.676519081 +23195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 2.482762316 +23196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.98205206 +23197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.305256398 +23198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.287487129 +23200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.978410878 +23201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.644593988 +23199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.107877516 +23203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.295851836 +23205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.496727142 +23204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.407478513 +23206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.27840135 +23202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.072645995 +23207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.025503742 +23209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 2.703723944 +23208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.504196321 +23211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.801152416 +23210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.185690716 +23212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.263064471 +23214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.738370956 +23215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 9.482342542 +23213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.935709434 +23216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.684219969 +23217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.53909631 +23219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.429591219 +23218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.735973163 +23220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.123381696 +23223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.564659157 +23222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.256339288 +23221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.106892094 +23225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.598710688 +23227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.686712364 +23228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.528144026 +23226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.51424795 +23224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.398463306 +23229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.802763634 +23230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 2.782089992 +23231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.730860359 +23236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.322625032 +23234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.538167347 +23235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.92861455 +23237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.749888641 +23238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.346692051 +23233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.128845564 +23232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.711408255 +23239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.251531091 +23241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.764924198 +23242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.650834745 +23240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.740865046 +23245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 2.476768829 +23246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.840314046 +23243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.677556867 +23244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.130525578 +23247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.866078772 +23249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.621473546 +23250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.34940887 +23248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.193755351 +23251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.251074436 +23252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.087998912 +23253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.268616099 +23254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.122539136 +23257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.025941932 +23255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.311276083 +23258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.798494007 +23256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.332038326 +23259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.535584687 +23260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 1.969732726 +23261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 1.768257604 +23262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.939133948 +23264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.831058706 +23266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.054103315 +23265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.434965527 +23267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.517012189 +23268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.621435375 +23263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.898520111 +23270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.545016269 +23269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.221860715 +23271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.726718947 +23272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.010317953 +23273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.510244034 +23274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.617656726 +23276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.428286212 +23275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.966121411 +23278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.484941375 +23277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.43200366 +23281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 8.16939676 +23280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.610524723 +23279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.526925929 +23282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.425090243 +23283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 8.470695288 +23284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.474618389 +23285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.287010573 +23286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.084697119 +23287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.079729089 +23288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 1.554700954 +23289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.513640502 +23290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.604466214 +23291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.765068789 +23293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.820012733 +23294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.32095867 +23292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.173433953 +23296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.007653066 +23295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.296588034 +23297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.523065871 +23298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.334307216 +23299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.82153032 +23300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.132308235 +23301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.309762626 +23302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.458028168 +23303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.320017316 +23304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.712782836 +23305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.676827747 +23306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.003674972 +23308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.586426081 +23309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.484116213 +23310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.347375486 +23307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.487822285 +23311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 2.09167483 +23312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.759511907 +23313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.642774581 +23314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 8.000206414 +23315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.278847909 +23316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.750628073 +23317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 1.414442803 +23318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.057150292 +23319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.215662365 +23320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.107950761 +23321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.892049051 +23322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.194811536 +23323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.300901203 +23324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.975527394 +23325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.83118695 +23326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.646569197 +23327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.849699846 +23328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.444610336 +23329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.233310238 +23330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.742002519 +23331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.653116949 +23332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.005860717 +23333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.452141416 +23335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.598699757 +23336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.502274317 +23334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.715132203 +23337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.576444018 +23338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.642362137 +23339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.063561366 +23340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.589286458 +23341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.326453586 +23342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.311216248 +23343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.576627071 +23344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.264149117 +23345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 2.584027389 +23346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.91175466 +23348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.277363822 +23347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.554963835 +23349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.727094991 +23350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.066789582 +23351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.218272323 +23353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.000847512 +23352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.104075981 +23354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.776804076 +23355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.426683317 +23356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.484228606 +23357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.507653346 +23359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.305499327 +23360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 8.336635998 +23358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.47735509 +23363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.40961331 +23362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.842976828 +23361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.062726231 +23364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.463394787 +23365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.36123752 +23367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.023856575 +23368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.223279585 +23366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.875548974 +23369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.293887028 +23370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.061590259 +23372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.309369524 +23373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.182701221 +23371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.673440183 +23374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.905874127 +23375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.362193407 +23376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.797931703 +23377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.351917962 +23379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.481426417 +23378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.022261547 +23380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.337268526 +23381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.703137289 +23382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.987506725 +23384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.594784487 +23383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 8.370381867 +23387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.122888205 +23385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 8.240998907 +23386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 1.23699757 +23388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.4387084 +23390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.427007657 +23391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.273358471 +23389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 1.751729554 +23392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.121044251 +23394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.415215475 +23393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.263729643 +23395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.943253511 +23396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.25638844 +23397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.872409875 +23398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.491788206 +23400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.432362921 +23399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.369793022 +23401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.801766614 +23402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.64970885 +23403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.637157829 +23404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.373929158 +23405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.866923159 +23406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.871279473 +23407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.259891214 +23409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.572726156 +23408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.947243106 +23410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.099093657 +23411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.978776602 +23412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.339687216 +23413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.957434444 +23414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.657277749 +23415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.039266437 +23416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.405286985 +23417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.623276964 +23418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.361311312 +23419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.07324114 +23420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.179019836 +23421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 8.136378478 +23422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.511187303 +23423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.054206897 +23424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.759995289 +23425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.492178108 +23427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.923648282 +23426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.024341118 +23428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.683140672 +23429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.070302189 +23430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 8.248877244 +23431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.387938863 +23432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 2.012943142 +23433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.290852091 +23434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.907104407 +23435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.899545836 +23438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.412871669 +23437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.737399239 +23436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.124113915 +23439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.795028166 +23440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.871446584 +23441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.315368845 +23442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.453840081 +23443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.269234214 +23445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.544916447 +23446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.185096488 +23444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.932066274 +23447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.3554728 +23448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 8.485016597 +23451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.201911215 +23450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.451618816 +23452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.485882403 +23454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.622602905 +23453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.132811276 +23449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 9.229194486 +23455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.478347604 +23456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.815895565 +23457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.585477773 +23459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 10.01255185 +23458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.505580798 +23460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.339709857 +23463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.001577533 +23464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.49300441 +23462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.032723407 +23461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 8.293799889 +23466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.913050944 +23467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.449143409 +23465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.429763859 +23468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.598161101 +23469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 9.659566561 +23470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.681779951 +23472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.341301231 +23474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.374384064 +23473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.902102778 +23476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.033529462 +23475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.021958832 +23471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.455162612 +23478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.170156552 +23477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.242362403 +23479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.959602506 +23480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.661819491 +23481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 8.020177248 +23482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.384741659 +23483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.255308147 +23484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.939130115 +23485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.040247688 +23486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.676336352 +23487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.313518639 +23489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.605348136 +23490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.438949968 +23488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.647646258 +23493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.074186944 +23494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.113028284 +23491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.230348396 +23492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.062285111 +23496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.573190069 +23497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.635125015 +23495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 2.656928148 +23498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.855950733 +23501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.200614978 +23499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.244584552 +23502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.848323248 +23500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.242866595 +23504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.361564348 +23505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.575237692 +23506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.990804844 +23508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 8.671230138 +23503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.423862444 +23507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.026425259 +23510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.140637834 +23511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.303954612 +23509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.686573254 +23515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.837713678 +23513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.449626429 +23514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.586458939 +23516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.996976476 +23517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.158056259 +23512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.1856521 +23518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.868474954 +23522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.530322876 +23521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.618045566 +23519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.282869125 +23523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.216962433 +23520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.430554985 +23524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.03918852 +23525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.898757691 +23526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.80778785 +23528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.408126727 +23527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.513805603 +23529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.607513474 +23531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.584091283 +23530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 2.86696582 +23533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.800209263 +23532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.88133012 +23534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.684286274 +23536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.33178622 +23535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.147273428 +23538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.892319984 +23537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.075029216 +23539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.599725081 +23541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.154955835 +23540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.126337528 +23542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.178129675 +23544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.619222503 +23545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.703414264 +23543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.560021639 +23547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.786522095 +23546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.56823426 +23548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.913911474 +23549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.957782183 +23550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.558567234 +23551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.373540306 +23553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.0311948 +23554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.94302843 +23552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.429397983 +23556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 8.13869029 +23558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 8.45404848 +23559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.799748383 +23557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.328648207 +23560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.238450263 +23555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.515269113 +23561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.452788733 +23562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.897453383 +23563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.719789953 +23564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.659755867 +23565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.549285764 +23566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.869624715 +23569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 8.987276532 +23570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.500247425 +23567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.458175921 +23568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.891618477 +23571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.699342534 +23573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.49562455 +23572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.577862723 +23575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.012470993 +23576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.84915146 +23577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.765720278 +23574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.486623783 +23578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.366657228 +23580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.805950686 +23579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.683569888 +23581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.420147706 +23582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.956546736 +23585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.984990492 +23584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 2.698165173 +23583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.952048514 +23587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.522770084 +23588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.97403813 +23590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.350480413 +23589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.839315438 +23592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.562709834 +23586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.501481377 +23591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.711358253 +23593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.766537904 +23594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.116649539 +23595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.771688207 +23596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.006114848 +23597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.848722729 +23598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.029737883 +23600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.301807529 +23599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.169716985 +23601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.923176611 +23603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 8.578474469 +23602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.469802595 +23605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.445096982 +23607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.207754202 +23606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.013513578 +23604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.769287765 +23609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.673345526 +23608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.141780923 +23610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.086666868 +23611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 2.652119332 +23612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.524177782 +23613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.635888 +23614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.429173284 +23615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.869862328 +23616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 8.716575806 +23617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.529064666 +23618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.566872123 +23619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.531244511 +23620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.101828921 +23623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.211203221 +23621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.59721048 +23622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.722376423 +23626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.160334095 +23625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.877141407 +23628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.10758214 +23629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.810008488 +23627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.674805201 +23624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.963799745 +23631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.266587521 +23630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.036540573 +23633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.223912206 +23635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.902860174 +23634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 8.052878926 +23636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.464675147 +23632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.211599896 +23637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.150145188 +23639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.540781294 +23638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.288546862 +23640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.413978653 +23644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.975823732 +23642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.154318743 +23641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.410686681 +23646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.704922479 +23643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.318182853 +23647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.159203159 +23645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.668721516 +23651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.848331422 +23650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.353399559 +23653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.628082923 +23648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.808504767 +23654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.204662485 +23652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.886220712 +23655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.77470932 +23649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.236122127 +23656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.553453829 +23657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 8.121472403 +23659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.635606075 +23658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.719997421 +23660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.657544094 +23661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.823532249 +23662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.000257867 +23663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.474967718 +23664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.220445787 +23665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.587214118 +23666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.329422421 +23667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.276587133 +23669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.94580168 +23671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.665439643 +23670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.783321603 +23668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.988266978 +23673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.987442768 +23672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.542270244 +23674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.517816501 +23675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.863659085 +23676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.826431411 +23679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.533479239 +23678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.04455552 +23680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.273486026 +23677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.327882277 +23682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 2.836837603 +23683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.994228218 +23684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.712825503 +23685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.844230129 +23681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.388371334 +23686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 8.030844044 +23688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.39410919 +23687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.762584322 +23690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.303691913 +23689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.882235208 +23691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.839855657 +23693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.47816452 +23692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 8.094038164 +23694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.683348537 +23695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.607407624 +23696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 2.481431849 +23697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.148143929 +23698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.551193439 +23699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.670865157 +23701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.106387494 +23700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.427695927 +23702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.680910186 +23704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.31246232 +23703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.865468446 +23705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.401380943 +23707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.339532916 +23708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.150387133 +23706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.43970822 +23709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.65508957 +23710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.146752248 +23711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.01854231 +23713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.769628907 +23712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.343173767 +23714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.374864992 +23715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.767209485 +23717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.611261024 +23716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.520476518 +23719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.248822574 +23720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.643078927 +23721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.747298421 +23722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.118679619 +23723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.557956341 +23718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.502081402 +23725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.637325387 +23726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.684148578 +23727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.930017984 +23724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.567989462 +23728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.236808999 +23729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.220787818 +23730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.15092101 +23731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.992414461 +23733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.635040227 +23734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 8.094676343 +23732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.083578991 +23735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.502431961 +23736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.600668791 +23738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.18558284 +23737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.160298394 +23742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.492213451 +23740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.192990844 +23741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.874186082 +23743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.987361925 +23744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.834068131 +23739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.518791024 +23745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.350435757 +23746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.491669139 +23748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.122809624 +23749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.408762048 +23747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.043193685 +23750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.437652855 +23751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.363664056 +23753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.38118895 +23752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.034792998 +23754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.507632128 +23757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.2921469 +23756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.182345579 +23755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.857817855 +23758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.704439083 +23759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.858587419 +23760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.751106457 +23761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.643507646 +23762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.451795017 +23764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.533422094 +23765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.078056549 +23763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.882507801 +23766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 8.063886432 +23767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.640251004 +23769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.207929479 +23770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 8.280718492 +23772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.735252608 +23774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.826910896 +23768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.987727354 +23771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.087925648 +23773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.203641239 +23775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.465273129 +23776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.938081939 +23777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.106810536 +23778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.873230659 +23782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.271337867 +23779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.52567822 +23781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.480494175 +23780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.758346923 +23783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.427167418 +23784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.021898919 +23785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.031004278 +23786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.204383241 +23788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.034537567 +23789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.007880256 +23791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.938697673 +23787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.704765573 +23790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 2.134005384 +23792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.030828882 +23794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.185235266 +23793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.699620676 +23796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.98665473 +23795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.585766669 +23797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.225612887 +23798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.570427183 +23800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.574599905 +23801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.324928961 +23799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.707780747 +23803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.515978885 +23802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.91265384 +23804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.006618716 +23805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.459163401 +23806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.951578116 +23808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.750231522 +23807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.423512506 +23809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.666078136 +23811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.436885287 +23810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.884654385 +23812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.565325012 +23814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.272886254 +23813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.811996439 +23816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.365924657 +23815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.813927433 +23818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.052744158 +23819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.321334874 +23817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.12904645 +23820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.24888366 +23821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.41391236 +23822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.618742163 +23824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.943763289 +23823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.157131485 +23825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.956311645 +23826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.940470961 +23827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.558368807 +23830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.391006413 +23828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.232489824 +23831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.109404046 +23832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.921616034 +23829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.993029865 +23833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.921761077 +23834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 2.682276547 +23835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.099900337 +23837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.014680861 +23838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.032327466 +23839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.289614778 +23841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.988685174 +23836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.597175226 +23842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.575850963 +23840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.712717074 +23843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.929503168 +23844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.653790588 +23845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.203561882 +23846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.61520083 +23848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.011829073 +23849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 1.534433343 +23850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.000374727 +23847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.388156855 +23851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.188005279 +23852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 2.097545552 +23853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.182228419 +23854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.417905768 +23855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.318767802 +23856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.878439463 +23858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.940090986 +23859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.176074077 +23857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.128748299 +23860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.463977353 +23861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.299312924 +23862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.362730356 +23863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.397248691 +23864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.619013956 +23865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 8.033580936 +23866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.533799182 +23867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.26488941 +23869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.935240097 +23870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.39586654 +23871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.914134146 +23868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 1.7337496 +23873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 2.274442855 +23872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.19094961 +23874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 2.186109218 +23876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.514530387 +23878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.87537039 +23879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.325169562 +23880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.112194304 +23881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.062714393 +23877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.374021121 +23875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.255368082 +23882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.705147997 +23883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.306863468 +23885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 2.45261328 +23884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.200788542 +23886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.531720804 +23888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.557940133 +23887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 8.043406613 +23889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.522472174 +23891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.194981539 +23893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.239003962 +23890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.738435857 +23892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.569436435 +23894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.675747488 +23896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.889904977 +23895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.734472804 +23898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.634514907 +23899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.045057058 +23900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.287271794 +23897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.053259324 +23901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.376794525 +23902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.219558968 +23903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.890577061 +23904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.710147339 +23905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.823126256 +23906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.996661791 +23907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.072436287 +23909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 2.728534732 +23908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.96435421 +23910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.367564297 +23912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.461800552 +23913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.337795161 +23911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 8.858041826 +23915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.535655671 +23914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.775518861 +23916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.098009812 +23917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.524214459 +23918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 8.24769769 +23919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.877608366 +23921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.623073843 +23922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.64803125 +23924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.884287014 +23920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.482247746 +23923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 8.804639611 +23926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.457345525 +23927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.034863688 +23925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.363995169 +23930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.764851155 +23931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.81800473 +23932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.650742668 +23928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.996977312 +23933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.207506364 +23929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 8.306031659 +23935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.291319294 +23934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.352153052 +23936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 8.670600663 +23937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.260413746 +23939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.258535868 +23941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.17509529 +23940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.413563125 +23938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.162197053 +23942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.320396248 +23943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.622354484 +23944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 2.063905876 +23945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.358899028 +23948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.105596697 +23946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.04683 +23947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.597284356 +23949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.450475603 +23951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.254085239 +23950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.70492742 +23952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.265779455 +23953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.883238067 +23954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.270803529 +23955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.322542457 +23956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.832578509 +23957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.763982504 +23960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.203982598 +23958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.405922689 +23964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.601420922 +23961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.01933937 +23962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.182992664 +23963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.451505009 +23959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.64545004 +23965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.373764885 +23967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.420750012 +23966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.023579172 +23968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.066594855 +23970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.829119969 +23969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 2.768346468 +23971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.084309516 +23973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.543896289 +23972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.665457546 +23974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.511708019 +23975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.113510576 +23978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 8.474161285 +23977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.374793938 +23976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.479096854 +23979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.812913475 +23980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.494595791 +23981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.357971152 +23982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.580285052 +23983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.760239269 +23984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.608453412 +23985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.249602939 +23987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.627093056 +23986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.402688401 +23988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.920392566 +23989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.67978515 +23990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.235378496 +23991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.790533117 +23993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.505037972 +23995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.523467941 +23992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.97770677 +23994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.965490119 +23996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 3.333854028 +23997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 7.960734143 +23998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 4.890540894 +23999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 5.019657279 +24000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 6.332140353 +24003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.032117909 +24002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.02570953 +24001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.32758212 +24004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.285068477 +24005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.645499318 +24006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.370361619 +24007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.534732455 +24008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.166439559 +24011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.392665306 +24009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.805469482 +24010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.86861217 +24012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.694134264 +24013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.742702569 +24016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.107602679 +24015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.080946628 +24014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.444693506 +24017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.51031924 +24018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.236781524 +24020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.211607555 +24019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.940875264 +24022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.048655994 +24023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.696129222 +24025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.99423684 +24024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.03284497 +24027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.832273592 +24026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.856614171 +24028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.799273204 +24021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.179036242 +24029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.524995236 +24030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.82991427 +24031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.089636786 +24032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.918234513 +24033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.313999484 +24034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.243343244 +24035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.573465263 +24036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.143825356 +24037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.890304567 +24038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 8.938122528 +24039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.993255272 +24040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.915485953 +24041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.598020958 +24042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.527998305 +24043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.596686099 +24044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.052496074 +24045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.388949804 +24046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.311615409 +24047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.019462144 +24048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.272687718 +24049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.110902166 +24051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.406708145 +24050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.897921526 +24054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.166171571 +24053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.26087259 +24056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.568499323 +24052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.069801457 +24057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.097929623 +24058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.109850367 +24055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.38709295 +24059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.810322162 +24062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.410652898 +24060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 1.378854029 +24061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.175780598 +24064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.467421676 +24066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.420449045 +24065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.490087046 +24067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.492647831 +24063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.382296956 +24069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.551010353 +24068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.484113317 +24070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.591676787 +24071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.324150726 +24073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.658390925 +24072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.583369436 +24074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.873557078 +24075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.742862941 +24076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.720274296 +24077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.008787146 +24078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.770679808 +24079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.661684485 +24080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.774921804 +24081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.938496571 +24082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 9.171464256 +24084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.541592368 +24085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.527718179 +24086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.145535696 +24083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 8.325649889 +24087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.188392851 +24088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.574685086 +24089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.524475101 +24090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.923038936 +24091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.535043945 +24093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.360113926 +24092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.309325696 +24094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.487245807 +24096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.911210951 +24097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.293723017 +24098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.738633405 +24095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.67077702 +24099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.604246818 +24100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.846526854 +24101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.046255047 +24104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.991159734 +24103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.30666739 +24102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.550823073 +24105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.508871304 +24106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.842374497 +24107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.865525775 +24108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.225657975 +24110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.093456991 +24109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.909558615 +24111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.624012286 +24113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.641529425 +24115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.445361906 +24114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.896061538 +24116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 1.832509913 +24112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.318340657 +24119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.786665871 +24118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.776721808 +24117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.344367161 +24121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.342875324 +24122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.952329195 +24120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.277686981 +24123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.041394919 +24124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.131067623 +24125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 1.654769602 +24127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.450724601 +24126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.409832177 +24128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.785407523 +24129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.239660608 +24130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.685900977 +24131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.788051111 +24132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.500360464 +24133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.549722503 +24135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 1.960485505 +24134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.534860446 +24137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.256453913 +24136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.078915976 +24139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.384175072 +24138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.864195833 +24140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.636549335 +24143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.340520582 +24141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.945916221 +24144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.781630465 +24142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.55275246 +24145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.33524899 +24147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.871616412 +24146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.514281724 +24148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.506329817 +24149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.821293088 +24152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.389402348 +24151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.298419661 +24153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.90203213 +24150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.029118093 +24154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.783004752 +24155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.386735434 +24156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.604241675 +24157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.16706554 +24158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.692611902 +24160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.682452794 +24159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.40143138 +24161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.905327224 +24163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.956521894 +24162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.392254325 +24165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.137468644 +24164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.975056913 +24166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.643215045 +24167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.831962622 +24168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.315621898 +24170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.978500351 +24169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.205022769 +24171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 1.565677556 +24172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.142388256 +24174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.439568819 +24173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.475474375 +24175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.062546386 +24176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.164613211 +24177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.542766246 +24178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.562974979 +24180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.428870135 +24179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.797587944 +24183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.398968857 +24184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.613831751 +24182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.84859828 +24185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.840938575 +24186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.83257902 +24181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.911944021 +24187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.699283781 +24188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.095912599 +24189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.821317299 +24190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.533005023 +24191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.787778982 +24192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.92707133 +24193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.235339225 +24194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.861025084 +24196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.19562195 +24197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.001094562 +24195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.755677526 +24198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.029818163 +24199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.74616632 +24200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.390954786 +24201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.31071236 +24204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.00825691 +24203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.400614644 +24205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.544801207 +24207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.050026861 +24206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.667750598 +24202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.324601338 +24208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.758208679 +24209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.697776229 +24210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.391931972 +24211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.116330922 +24212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.418092765 +24214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.896663898 +24213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.403340512 +24216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.574574385 +24215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.435540915 +24218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.851422571 +24217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.729322794 +24220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.018254048 +24221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.297822174 +24222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.563683316 +24219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.911190619 +24226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 8.080288401 +24227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 1.648681129 +24225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.13043561 +24224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.651142703 +24228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.530839115 +24223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.807322011 +24229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.726548146 +24230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.646254335 +24231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.422312742 +24233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.281982137 +24232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.887288037 +24234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.716007363 +24236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.097965468 +24237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.019995175 +24235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.680987652 +24238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.337802903 +24242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.130845829 +24241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.966958727 +24240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.360413367 +24243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.568046258 +24246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.665922967 +24245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.522315943 +24244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.984717531 +24239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.486907814 +24247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.753253353 +24248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.553383283 +24249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.536316109 +24250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.340558301 +24251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.567610073 +24253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 9.12763902 +24252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.927502161 +24254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.862120604 +24256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.479069544 +24255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.619657376 +24257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.033160963 +24258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.520594413 +24259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.674530077 +24262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.738154094 +24260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.967259729 +24263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.574584161 +24265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.717206963 +24261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.400926611 +24264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.71666285 +24267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.330824893 +24266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.642733634 +24268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.272751903 +24269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.22339447 +24271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.708435407 +24273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.973015203 +24270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.90755126 +24272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.313932046 +24274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.9531839 +24275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.123905683 +24276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.623661651 +24277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.110149934 +24278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.635113316 +24280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.706974696 +24279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.080229224 +24282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.61259102 +24283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.887260927 +24281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.675866646 +24284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.252298238 +24285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.981926516 +24287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.360162264 +24289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.257147581 +24290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.00918639 +24291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.571732191 +24292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.305441837 +24286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.986788391 +24288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.357209712 +24294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.084959432 +24295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.429545951 +24296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.310907895 +24293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.097699781 +24299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.536106396 +24298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.315762378 +24300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.019647685 +24297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.020823519 +24301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.134280037 +24302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.541750608 +24304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.517275793 +24303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.013345505 +24307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.113030601 +24306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.409628233 +24308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.499282677 +24305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.244862769 +24309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.144984165 +24310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.089508313 +24311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.813048598 +24312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.626833064 +24313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.490614512 +24315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.02116318 +24316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.588794309 +24317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.637847477 +24318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.975364997 +24319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.50882718 +24320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.885886348 +24314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.670169251 +24321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.398305001 +24322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.056354398 +24323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.53935532 +24324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.164672644 +24326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.490101471 +24327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.584156944 +24325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.876901678 +24328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.833312405 +24330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.316835659 +24329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.306701379 +24331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.634755505 +24332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.609602552 +24333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.469672853 +24334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.317696989 +24335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.63547245 +24338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.74018871 +24337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.703998535 +24339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.174721689 +24336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.403082332 +24340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.249556291 +24341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.413780918 +24342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.345272051 +24344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.986826606 +24346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.06793879 +24345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.629274568 +24343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.978176039 +24347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.269616338 +24348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.496410244 +24349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.301121674 +24350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.021946297 +24351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.707138685 +24352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.131177033 +24353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.47038732 +24354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.07443855 +24355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.514354649 +24356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.085964471 +24357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.066636583 +24358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 1.516914758 +24359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.542113627 +24360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.274613106 +24361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.729315682 +24362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.174272684 +24363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.070126079 +24365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.545858312 +24364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.992407205 +24367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.939928626 +24366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 8.090321104 +24369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.197099366 +24368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.964192287 +24370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.472851841 +24371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.407236646 +24372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.840021649 +24373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.307136156 +24374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.496446961 +24375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.757773675 +24377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.297259281 +24378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.025136477 +24376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.16895167 +24379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.862109658 +24380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.484295915 +24381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.985228942 +24382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.950893406 +24383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.073874048 +24384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.928589961 +24385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.497705024 +24386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.892916229 +24387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.450735829 +24388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.478710598 +24390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.632923493 +24391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.348989866 +24389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.858183911 +24392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 1.054180646 +24393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.156703507 +24394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.735019928 +24395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.424744368 +24396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.748316306 +24398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.574868489 +24397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.913715108 +24400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.759947718 +24399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.092524522 +24402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.699651421 +24401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 8.05267263 +24403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.448207313 +24404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.196517654 +24406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.001956157 +24405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.672281086 +24407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.307201071 +24408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.513969257 +24409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.767825088 +24410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.579281457 +24411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.712529866 +24412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.968724398 +24413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.455432657 +24414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.228651409 +24415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 9.729918138 +24417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.714350655 +24419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.471940764 +24418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.314404067 +24416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.044743646 +24420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.714289981 +24421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.945447307 +24422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.749286053 +24423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 1.859128359 +24424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.007525498 +24425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.058199287 +24426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.978545212 +24427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.677461969 +24428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.27056121 +24429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.352540245 +24430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.494770727 +24431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.341288146 +24432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.616231564 +24433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.602140165 +24434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 12.80843532 +24436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.503045497 +24435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.756686566 +24437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.635333036 +24438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.256329562 +24439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.026689837 +24440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 8.176259523 +24441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.704095278 +24442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.784376617 +24443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.542000714 +24444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.999513803 +24445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.677164326 +24446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.814672453 +24447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.678303062 +24448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.957099148 +24449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.927675271 +24450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.646595298 +24451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.236697885 +24453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.109927622 +24452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.120364268 +24457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.836892609 +24455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.612098908 +24454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.719673356 +24456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.040798603 +24458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.485555983 +24459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.549736036 +24460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.537618845 +24462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.676431367 +24461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.082066529 +24463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.60152497 +24464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.648785575 +24465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.246509366 +24466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.504177618 +24467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.372810631 +24468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.813586944 +24471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.126588529 +24469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.671997068 +24473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.521721184 +24472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.763566316 +24470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.375615225 +24474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.478170563 +24475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.24049457 +24476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.542700413 +24477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.693516692 +24480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.695500414 +24478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.502352887 +24479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.731217673 +24482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.275457051 +24481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.26641589 +24483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.569673211 +24484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.276926991 +24485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.45707017 +24486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.338674613 +24488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 8.01749621 +24487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.825754392 +24489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.009103148 +24490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.9351691 +24492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.374416393 +24491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.658885686 +24493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.317271188 +24494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.28018859 +24496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.635425209 +24495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.858576254 +24497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.840813498 +24499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.74547654 +24500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.40979949 +24498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.17166509 +24501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.21226193 +24502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.018570483 +24503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.175931742 +24504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.63525388 +24505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.763571493 +24506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.993339942 +24507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.540979548 +24509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.788264018 +24508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.611412521 +24510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.162357678 +24511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.123013551 +24512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.737113362 +24513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.541598249 +24514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.307576267 +24515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.877539782 +24516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.01467093 +24518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.961747876 +24519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.187650216 +24520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.278018517 +24517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.972350615 +24521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 1.758020615 +24523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.775720125 +24522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.296624532 +24524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.433780262 +24525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.071683241 +24526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.727454364 +24527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.838205952 +24529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.522617281 +24528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 8.629403924 +24530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.945453917 +24531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.577111699 +24532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.244295321 +24533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.979327641 +24534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 8.516070326 +24535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.954900602 +24536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.19967696 +24538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.38151989 +24539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.467154786 +24540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.838639627 +24537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.923021038 +24541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.039485916 +24542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.379956669 +24543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.749307316 +24544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.067178486 +24545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.545556584 +24546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.099101174 +24547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.688380472 +24550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.961347101 +24549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.794245426 +24548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.746828496 +24551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.913691253 +24552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 1.423723595 +24553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.985149673 +24555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.675685805 +24554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.425895892 +24557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.816708476 +24556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.508119474 +24559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.618310519 +24561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.071419595 +24560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.78533547 +24558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.840000542 +24562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.171365231 +24563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.304036784 +24564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.636375136 +24565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.717829056 +24566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.344820117 +24567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.056371843 +24568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.068085779 +24570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.136090678 +24571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.367857936 +24569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.418650668 +24572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.146952441 +24573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.243373681 +24574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.487553816 +24575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.189412781 +24576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 1.542488645 +24578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.35223429 +24577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.460383689 +24579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.365084183 +24580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.511703576 +24581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.665316894 +24583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.45619272 +24582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.532464413 +24586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.320111804 +24585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.292060508 +24584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.808712131 +24588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.18745556 +24587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.713084743 +24589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 1.743523097 +24590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.745263348 +24592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.473718744 +24593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.43081635 +24591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.477926019 +24594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.948303162 +24596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.878910961 +24598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.617506716 +24599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.480602535 +24595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.778732193 +24597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.50140507 +24600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.688590057 +24601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.918373355 +24603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.170993132 +24604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.297514195 +24602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.434905326 +24605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.516130799 +24608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.648114889 +24607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.161099866 +24609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.888029642 +24610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.577189273 +24612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.824616379 +24613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.803702491 +24606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.509569058 +24614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.647312998 +24611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.895041255 +24616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.815228372 +24615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.070300977 +24617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.488477174 +24618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.964795874 +24619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.174801248 +24620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.086663539 +24621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.714317067 +24624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.141164551 +24622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.283239177 +24623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.847942864 +24625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.925518291 +24627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.923845408 +24629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.098552792 +24628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.599845857 +24630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.704314567 +24632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.15393932 +24626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.437419533 +24631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.202004068 +24634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.74049583 +24635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.152099877 +24636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.326180863 +24637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.525816493 +24633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.284497638 +24638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.527430328 +24639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.10279296 +24640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.237871696 +24641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.281054793 +24642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.120091175 +24644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.462206238 +24643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.023253802 +24645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.364493501 +24646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.737723249 +24647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 8.716732759 +24650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.913494341 +24649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.098762224 +24652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.651704609 +24648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.786275431 +24654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.149445996 +24653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.535172267 +24655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.549080233 +24651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.212718266 +24656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.918914795 +24657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.308439083 +24658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.013244555 +24659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 8.352507578 +24660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.73830269 +24661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.297163121 +24663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.981534004 +24662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 1.872655736 +24664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.059481306 +24665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.794848874 +24666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 1.887338559 +24668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.323152988 +24669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.653592396 +24670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.321892786 +24667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.54988215 +24671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.627103981 +24672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.893255681 +24673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.003541861 +24674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.976489855 +24676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.049680885 +24675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.790093672 +24677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.270033888 +24678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.928513068 +24680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.494818713 +24679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.526666803 +24681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.436640536 +24682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.007650399 +24684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.074752405 +24683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.5974144 +24685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.036816836 +24687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.623311738 +24689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.371623285 +24688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.087517922 +24690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.86526512 +24691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.750521881 +24692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.592554701 +24686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.149409306 +24694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.06774046 +24693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.007790806 +24696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.444872898 +24695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.503189356 +24697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.17953994 +24698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.044416211 +24699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.814385234 +24700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.514429537 +24701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.666287402 +24702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.373507311 +24704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.513797966 +24703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.58240563 +24706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.847878619 +24705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.867237277 +24707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.493591586 +24708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.480687745 +24709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.584828533 +24711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.25540189 +24712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.080826069 +24710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.612099655 +24714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.100561312 +24715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.576393044 +24713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.348920593 +24717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.038568922 +24716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.408171772 +24718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.104574813 +24720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.426676042 +24719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.823894147 +24721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.767272789 +24722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.560041537 +24723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.731303446 +24724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.833699617 +24725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.695920449 +24727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.905928471 +24729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.805572516 +24726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.407065474 +24730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.062607208 +24728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.217634183 +24731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.925089658 +24732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.653947867 +24735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.525475305 +24734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.96622539 +24736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.176958826 +24737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.843200811 +24733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.883563263 +24738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.775740635 +24739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.551151037 +24740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.815740232 +24742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.654994344 +24741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.600699228 +24745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.585124489 +24746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.354325877 +24744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.42401076 +24743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.042026943 +24747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.655725076 +24748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.07317473 +24749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.980117364 +24750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.872633055 +24753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.851153158 +24752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.228438056 +24754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.272141726 +24751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.586738391 +24756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.521101201 +24755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.810018826 +24757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.415932387 +24760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.211174167 +24758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.337809045 +24761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.681533842 +24759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 1.580576197 +24764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.207789505 +24763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.247707617 +24765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.48554925 +24762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.858229889 +24767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 8.122069403 +24766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.311194361 +24769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.594357437 +24770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.838521958 +24768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 8.754888372 +24771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.603240503 +24772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.743082846 +24773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.518102234 +24775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.190930167 +24774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.325820123 +24776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.065586466 +24777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.361054555 +24778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.214435063 +24780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.492061357 +24779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.777005765 +24782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.609149288 +24783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.412927692 +24785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.824656442 +24784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.092682454 +24781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.909479593 +24786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.852036314 +24787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.322341109 +24789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.946059268 +24788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.850286137 +24790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.332791897 +24791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.318211363 +24793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.317716283 +24792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.626111768 +24794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.757273481 +24795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.72620158 +24797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.566234724 +24796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.704847148 +24799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.652133562 +24801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.686281228 +24798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.13183148 +24800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.297382162 +24802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.189687166 +24803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 8.778764641 +24804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.004393414 +24805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.835380593 +24806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.969843093 +24808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.449044984 +24807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.011768687 +24809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 8.007890328 +24811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.979019845 +24810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.742145619 +24813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.357598929 +24812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.51840802 +24814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.067724286 +24816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.495466554 +24815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.934070294 +24817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.169097262 +24819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.411849624 +24820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.740521354 +24821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.999013221 +24822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.319039152 +24824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.928605998 +24818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.086955139 +24823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.819803381 +24825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.856052674 +24827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 8.189726389 +24826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.010072744 +24829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.529258566 +24828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.236867812 +24830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.76974522 +24831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.324017928 +24832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.080061658 +24833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.865696412 +24834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.804854592 +24835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.002198591 +24836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.558493267 +24837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.155761824 +24840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.971343533 +24838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.204818497 +24841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.536245396 +24843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.661105934 +24842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.467454862 +24844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.745790695 +24845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.502755333 +24839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.118833887 +24846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.237318196 +24848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.578462969 +24849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.896468159 +24851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.81780509 +24850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.519354409 +24847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.179159239 +24852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.977037096 +24854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.287756008 +24853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.03856585 +24856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.329460611 +24855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.354297595 +24857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.512188324 +24858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.027310375 +24860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.012795137 +24859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.594290458 +24861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.813255121 +24863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.983318868 +24864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.711180816 +24866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.52923578 +24865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.018127776 +24868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.386971323 +24867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.601436026 +24862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.920652396 +24869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.805333201 +24870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 8.951477004 +24871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.755237273 +24872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.113875439 +24873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.181884191 +24874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.957616377 +24875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.110325074 +24877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.540817408 +24878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.649900403 +24879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.21259619 +24876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.164942002 +24880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.903743689 +24882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.420195703 +24881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.156386862 +24883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.657368036 +24884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.532428391 +24885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.849203358 +24886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.352221119 +24888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.736050043 +24887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.208453542 +24890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.314692685 +24891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.375182201 +24889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.858539416 +24893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.983084733 +24892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.008759795 +24894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.059571908 +24895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.100852123 +24896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 8.254283854 +24897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.192264051 +24898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.85241522 +24901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.511491523 +24900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.567013212 +24899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.694803749 +24903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.935275339 +24902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.766330696 +24905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.405401079 +24907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.080511985 +24904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.145963646 +24909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.270738334 +24910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.648650456 +24911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.557499827 +24906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.758078512 +24908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.148087786 +24912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.660078743 +24913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.922235569 +24915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.450590199 +24914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.293817892 +24916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.147302208 +24917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.071783196 +24918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.779419171 +24920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.605753529 +24919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.196984726 +24921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.316291471 +24922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.902988217 +24925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.062782827 +24926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.186829434 +24924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.458669469 +24923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.43881213 +24927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.10582218 +24928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.433872524 +24930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.629536173 +24929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.985967457 +24931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.270408344 +24932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.211514498 +24933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.926726615 +24935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.3748175 +24934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.772548779 +24936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.096026817 +24937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.265070655 +24938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.283158342 +24939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.942682767 +24940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.086681372 +24941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.232845232 +24942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.988093742 +24944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.707157666 +24945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.866178668 +24946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.27833303 +24947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.401797956 +24943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.727454584 +24948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.12869541 +24949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.841522601 +24950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.905114502 +24952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.729868926 +24953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.871768066 +24951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.427792341 +24954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.861611951 +24955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.673510124 +24956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.422102575 +24957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.454173046 +24958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.899943459 +24959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.874144912 +24960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.351321182 +24961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.780056637 +24962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.364195458 +24965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.514788916 +24963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.400737944 +24964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.872799734 +24966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.842287782 +24967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.098228702 +24969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.692034607 +24970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.022873406 +24968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.953685426 +24971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.60841795 +24973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.882400409 +24972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.275508084 +24974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.473020503 +24975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.871495836 +24977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 9.132649641 +24978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 9.375887917 +24979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 6.338173971 +24976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 5.461810642 +24980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.316425286 +24983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.072331889 +24982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.165954991 +24981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.048786326 +24984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.101404603 +24986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.495168641 +24988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.178511239 +24985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.874912335 +24987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.275265532 +24990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.606848184 +24989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.916979687 +24991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.466956581 +24992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.149506348 +24993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.136935609 +24995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.550475771 +24994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 4.866826384 +24996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 7.046938935 +24998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.950161639 +25000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.895602423 +24997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 2.810417792 +25002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.808518261 +25001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.179522893 +24999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 1.896295509 +25003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 7.533451741 +25004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.778981915 +25005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 7.648780727 +25006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.379336896 +25007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.421133498 +25008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.106044291 +25009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.170543408 +25011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.676959948 +25012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.34355388 +25010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.914409154 +25013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.403064838 +25016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.784983282 +25017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.08506713 +25014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.366446045 +25015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.47144128 +25018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.711618449 +25019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.055411477 +25020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.615974887 +25021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.564583898 +25023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.087486574 +25024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.997114698 +25025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.351971714 +25026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.396417085 +25027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.357394359 +25022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.881814492 +25028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.410534737 +25029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.819038099 +25032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.658427551 +25030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.116362867 +25033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.33601349 +25035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.53712668 +25031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.96464666 +25034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.561584492 +25036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.540018267 +25037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.113933852 +25040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.56624399 +25039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.509210278 +25041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.339054397 +25038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 7.983410255 +25042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.503149442 +25043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.077835191 +25044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.056910969 +25046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.965437654 +25047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 7.265641309 +25048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.708020992 +25050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.359671585 +25049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.720125282 +25051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.321837821 +25045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.563742328 +25054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.827069763 +25052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.690222247 +25055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.076390757 +25053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.635569021 +25056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.512426219 +25058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.883035051 +25057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 7.048835216 +25059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.901423383 +25062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.215010094 +25061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.072203398 +25063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.99663665 +25064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.252580162 +25065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.677276185 +25066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.7904974 +25067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.802343998 +25060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.946748066 +25068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.260555674 +25069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.7611741 +25072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.518547106 +25070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.769337191 +25071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 7.036574634 +25075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.907434727 +25074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 7.055304304 +25073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.811855406 +25077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.987854434 +25076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.276639398 +25079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.217319689 +25080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.204657834 +25081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.794174959 +25082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.455189596 +25083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.363714646 +25084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.256995774 +25078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.467565358 +25085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 7.989209868 +25086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.592349855 +25088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.414090191 +25089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.381674074 +25087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.229723039 +25090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.097213567 +25093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.830334226 +25092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.93862822 +25091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.679358254 +25095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.041152196 +25094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.242526441 +25096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.852538796 +25100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.857172454 +25098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 8.517406044 +25097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.750052082 +25101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.984184428 +25099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.43143393 +25102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.91566403 +25103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.125673876 +25105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.514274316 +25106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.751583032 +25104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.526988848 +25110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 9.240684704 +25109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.02836961 +25108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.173108146 +25111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.517292601 +25107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.948912567 +25112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.732475758 +25114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.516743495 +25113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.19091364 +25115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.356339123 +25116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.993185898 +25117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 8.910573458 +25118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.795387526 +25122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.658588743 +25124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.928974999 +25119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.593464402 +25121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.151485394 +25125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.471957274 +25120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.723639579 +25123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.407207585 +25126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.816944498 +25127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.938369866 +25128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.437985846 +25132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.12866552 +25131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.520233997 +25130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.289859407 +25129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.989368355 +25133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.745530281 +25135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.665048115 +25136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.741219238 +25139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.88074586 +25134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.796694602 +25138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.898415063 +25141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.949258535 +25137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.246694623 +25140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 8.303392395 +25142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.351535913 +25143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.966319015 +25144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.644054752 +25146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.07257499 +25147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.333242288 +25148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.630115903 +25145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.267526871 +25149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.797383192 +25151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.967928604 +25150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.497767965 +25152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.949790304 +25153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.848340678 +25154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.552924847 +25156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.852293753 +25155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.458331327 +25158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.076163634 +25159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.806633985 +25157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.107330581 +25160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.856608733 +25161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.471715422 +25163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.531201412 +25164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.552816119 +25162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.182132961 +25165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.888066967 +25166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.599327555 +25168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.423382414 +25169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.281910341 +25167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.644494183 +25170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.8757163 +25171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.45180778 +25172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.16723316 +25173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.372624243 +25174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.724935456 +25175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.341061567 +25178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.800536556 +25177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.223564576 +25176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.265873045 +25179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.231430436 +25180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.777617431 +25181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.823369456 +25182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.751233824 +25183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.666804305 +25184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.678936078 +25185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 7.521527602 +25186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.909562026 +25187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 7.113723655 +25188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.456099099 +25189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.551330893 +25191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.465292005 +25192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 7.373967351 +25190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.664461959 +25195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.009187935 +25196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.975562995 +25193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.773458211 +25194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.316758191 +25197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.076738801 +25198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.833333005 +25200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.957151171 +25201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.337703989 +25204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.163436479 +25202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.999225984 +25199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.98844221 +25203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.121614008 +25205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.771228203 +25206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 7.033681654 +25207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.287453543 +25208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.206748493 +25209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.326568914 +25211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.906786848 +25212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.102451947 +25213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.611697487 +25214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.449988679 +25210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.035390017 +25215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.783336248 +25217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.795862084 +25216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.853450061 +25218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.431921766 +25219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.581399427 +25220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.366019974 +25221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.615314206 +25222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.159989 +25223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.300802234 +25225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.79088611 +25224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.077662886 +25226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.154116989 +25227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.834834804 +25228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.762970714 +25229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.6382915 +25232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.098141367 +25230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.287998412 +25233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.824028818 +25234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.199436707 +25235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.29685216 +25236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.413732869 +25231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.415255883 +25237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.96970725 +25238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.67098796 +25239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.814707746 +25240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.462764741 +25244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.940787001 +25242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.084003058 +25243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.697683902 +25241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.826163479 +25245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.9977812 +25246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.921556008 +25247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.792784337 +25248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.635564473 +25249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.375532726 +25250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.261322273 +25251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.089496564 +25252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.01394591 +25253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.487608141 +25254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.97321874 +25255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.855278376 +25257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.850082402 +25258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.678546368 +25256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.252896719 +25259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.714094019 +25260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.014109499 +25261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.985570847 +25262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.780891108 +25264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.659890175 +25263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.926967646 +25266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.332295419 +25267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.0937737 +25265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.28751598 +25268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.88985692 +25269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 8.117307719 +25270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.704452601 +25271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.293359152 +25272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.613425863 +25273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.627654639 +25275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.338350552 +25276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.39094983 +25277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.725300634 +25278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.676449084 +25274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 10.12187918 +25279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.248140886 +25282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.159565174 +25286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.073638626 +25284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.265133508 +25280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.429594558 +25281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.395290464 +25285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.223526619 +25283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.107488337 +25287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.832406066 +25288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.690011165 +25290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.125440275 +25289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.574276039 +25294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.15191685 +25292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.552108705 +25291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.661739496 +25293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.527528926 +25295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.097950564 +25297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.818324777 +25300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.774619036 +25296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.665912264 +25301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.919294508 +25298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.2250001 +25302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.331774375 +25299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.113590094 +25303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.598225022 +25304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.227735869 +25306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.047698405 +25305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.47197679 +25308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.898771647 +25307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.266911173 +25309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.217958095 +25310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.105919486 +25311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.397135512 +25312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.880966586 +25314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.495138191 +25313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.260967603 +25315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.325870929 +25317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.419251443 +25318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.465167651 +25316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.879436165 +25319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.924472007 +25320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.966747272 +25322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.376852054 +25321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.522670546 +25323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.779690069 +25324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.649274007 +25325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.969961767 +25327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.9678017 +25326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.22316974 +25328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.138529186 +25329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.200216847 +25330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.834847036 +25331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.047328906 +25332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.267912325 +25334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.632413911 +25333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.940819532 +25335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.631765873 +25337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.532743459 +25339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 7.269097213 +25336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.089364408 +25338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.706795328 +25340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.752185283 +25342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.309307047 +25341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.159063916 +25343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.696062327 +25344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.044451844 +25345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.90192475 +25347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.367103434 +25346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.96503625 +25348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.770486916 +25349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.345806925 +25350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.134747401 +25351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.949775929 +25354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.128943271 +25353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.511724902 +25355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.738588396 +25352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.649558847 +25356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.936060335 +25357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.610634249 +25358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.665746714 +25360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.617212067 +25361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.683531712 +25362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 7.190564544 +25363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.971118044 +25359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.234389172 +25364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.816590341 +25365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.630496893 +25367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.166887507 +25368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.714641633 +25369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.962623449 +25370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.987927214 +25371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.490619451 +25372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.786244997 +25366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.330614445 +25373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.509524939 +25374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.014341119 +25375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.853169008 +25377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.184429899 +25376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.149134203 +25379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.686594996 +25380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.070729211 +25381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.203776209 +25382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.948618106 +25378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.956101679 +25383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.83613697 +25384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.251414685 +25385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.760964996 +25387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.669894832 +25386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.568371598 +25388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.723062988 +25389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.469998675 +25391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.477768041 +25390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.488760018 +25392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.59309778 +25395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.05331671 +25393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.717804325 +25396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.542207598 +25394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.900016379 +25398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.113095937 +25397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.743236805 +25399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.005184668 +25400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.061512834 +25402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.107399917 +25401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.724667427 +25404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 7.055411994 +25403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.222238499 +25405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.524337919 +25406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.237340238 +25408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.620161042 +25407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.484836724 +25409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.87568952 +25410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.119949096 +25413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.465805763 +25411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.131769895 +25414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.65445921 +25412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.238999248 +25415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.164960169 +25418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.423599693 +25416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.840968476 +25417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 7.525108249 +25419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.986314207 +25422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.826566909 +25423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.391717419 +25420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.147776956 +25421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.335546065 +25424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.225727451 +25426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.131576053 +25425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.017944548 +25427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.699002661 +25431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.388819716 +25430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.984579043 +25432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.263366919 +25429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.788308046 +25428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.207671113 +25433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.804745429 +25434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 7.23819362 +25435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.360054565 +25436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.965065562 +25437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.818242318 +25439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.51677496 +25440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.545228015 +25441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.434945502 +25438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.630813353 +25443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.248820478 +25444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.507438487 +25445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 7.448403918 +25442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.793410491 +25447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.607856388 +25446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.073213723 +25448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 8.992595791 +25449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.847370548 +25451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.571080872 +25450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.790824076 +25452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.209278778 +25453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.089980466 +25455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.632780473 +25454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.67034492 +25456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.761302673 +25457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.770285616 +25460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.123893215 +25462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.053937644 +25458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.582567013 +25463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.301162915 +25461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.086313122 +25464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.127586678 +25465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.186421096 +25459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.993030396 +25468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.746249519 +25469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.405522145 +25466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.264220095 +25473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.859343419 +25467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.67157699 +25472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.272075921 +25470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.730161355 +25471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.254986633 +25476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.221214653 +25475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.097942204 +25474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 7.853647515 +25477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.173638682 +25478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.292737195 +25479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.701690786 +25480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.373832617 +25481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.021398078 +25482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.496646977 +25484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.016757212 +25483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.931455338 +25487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 8.046939868 +25486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.234158512 +25485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.958855573 +25488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.002921456 +25491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.383343576 +25490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.910614891 +25492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.187916959 +25494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.557580777 +25489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.81097028 +25495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.524786649 +25493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 8.118554246 +25496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.273438195 +25498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 7.569924768 +25497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.623636565 +25499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 7.771670986 +25500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.031425248 +25501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.745445378 +25503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.342643116 +25502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.268459726 +25504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.034615592 +25505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.782666637 +25506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.294083561 +25507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.661278736 +25508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.739604279 +25510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 8.36993942 +25511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 8.60566789 +25512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.03368956 +25509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.453271045 +25514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.407549252 +25513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.118733865 +25516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.568937354 +25515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.872694908 +25518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.090076445 +25517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.058623164 +25519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.330793156 +25520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.594984498 +25522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.656384661 +25521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.632809482 +25523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.000942023 +25524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.903849891 +25526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 7.191058589 +25525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.534731854 +25527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.287781078 +25528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.627840765 +25529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.08840265 +25531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.823426378 +25530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.184042009 +25532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.626374169 +25533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.080042607 +25534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.605782773 +25535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.480113199 +25537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 7.727805017 +25538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.565236088 +25539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.871956515 +25536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.523267951 +25540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.031486662 +25541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.734202893 +25542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.243228957 +25543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.599966982 +25544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.367330176 +25545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.8947473 +25546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.057127903 +25547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.407751023 +25549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.105656581 +25548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.764821669 +25550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.473577599 +25551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.317404185 +25552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.472127003 +25554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.864129147 +25553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.239843132 +25555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.254026667 +25556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.634619404 +25557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.270234991 +25558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.745441774 +25559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.220081642 +25561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.327889779 +25560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.414636163 +25562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.134905864 +25563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.618286085 +25564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.310691516 +25565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.392976195 +25567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.413056463 +25568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.569067525 +25566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.805437239 +25570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.577565798 +25569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.275905133 +25572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.779992097 +25573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.178285822 +25574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.162440646 +25575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.289098903 +25571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.222734321 +25576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.968839717 +25577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.812471875 +25578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.212822243 +25579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.863103756 +25580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.237708918 +25581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.619083402 +25582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.547900937 +25583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.8841686 +25584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.619785128 +25585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.267560901 +25586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.847929577 +25587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.287202182 +25588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.142487545 +25589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.578582967 +25590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.785907605 +25592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.041794624 +25591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.859324614 +25594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.357106757 +25593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.668383457 +25595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.764650291 +25596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.910094045 +25597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.550880657 +25598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.573442409 +25599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.818897892 +25600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.229916472 +25601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.890970353 +25603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 8.083740426 +25602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.004187388 +25604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.7742348 +25605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.96406723 +25606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.478671195 +25607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.806975489 +25608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.476060276 +25609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.663482204 +25610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.026843392 +25611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.341517256 +25612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 8.569021207 +25614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.907421655 +25613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.069554206 +25615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.251975885 +25616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.943666981 +25617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.595586654 +25618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.321542123 +25620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.084976938 +25621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.968613642 +25622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.216822589 +25619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.488850973 +25623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.027286808 +25624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.511484049 +25625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.253407682 +25627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.341602286 +25626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.322577011 +25629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.709006568 +25628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.786519952 +25631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.698841674 +25630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.966717131 +25633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.956005139 +25632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.627681503 +25634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.87071755 +25635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.608541579 +25637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.71439221 +25638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.601036934 +25636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.418349909 +25641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.793467331 +25640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.078062039 +25639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.510796233 +25642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 7.121769416 +25643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.947934341 +25644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.322047874 +25646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.926883731 +25645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.082688266 +25648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.744558996 +25649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.46240985 +25647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.857687339 +25650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.339730017 +25652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.625829989 +25651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.159264793 +25653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.331358082 +25654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.093807363 +25655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.928946284 +25657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.364921588 +25656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.72772074 +25658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.670967372 +25659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.36617381 +25660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.271934209 +25661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.689169911 +25662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.975202449 +25663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.14831218 +25664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 7.799881781 +25666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.026180656 +25665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.601476211 +25667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.240978128 +25668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.879126975 +25669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.72126094 +25670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.660024506 +25671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.598225633 +25672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.142652233 +25673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.329247517 +25674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.61616254 +25675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.849049241 +25676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.000586265 +25677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.947650331 +25678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.656549486 +25679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.774456157 +25680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.673428694 +25681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.121046948 +25683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.856149857 +25682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.587571672 +25684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.70569274 +25685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.708378282 +25686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.950270234 +25687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.471921566 +25688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.894418042 +25689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.960694825 +25690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.166724471 +25691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.892375749 +25692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.588461119 +25694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.00054415 +25693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.078307955 +25697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.347963239 +25695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.437860925 +25696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.183029187 +25698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.334363776 +25700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.740793987 +25699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.513194549 +25701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.828019719 +25702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.618932437 +25703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.787824972 +25704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.949367651 +25706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.156901709 +25705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.499703839 +25707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.941992734 +25709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.976124211 +25708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.426642751 +25710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.564126564 +25712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.855248382 +25711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.932270359 +25714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.991110628 +25713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.486637843 +25715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.033863727 +25716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.140465203 +25718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.717043368 +25719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.589108084 +25720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.380948527 +25722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.372082104 +25721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.730111987 +25717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.875902715 +25723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.985163706 +25725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.057213883 +25724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.982181317 +25726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.216286646 +25727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.137309685 +25728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.367255288 +25729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.277589654 +25730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.675072778 +25731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.445445483 +25733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.450885723 +25735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.837562843 +25732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.518380705 +25737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.585735791 +25736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.501857757 +25734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.842600583 +25738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.823205811 +25740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.782821891 +25742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.722819512 +25741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.382736543 +25739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.745559739 +25745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.673569361 +25743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.124442844 +25744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.136503429 +25746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.514460121 +25747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.232281664 +25748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.062492693 +25749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.966739892 +25750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.371365203 +25752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.099102141 +25753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.287724633 +25751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.678127954 +25754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.160038819 +25755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.220364403 +25757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.985833158 +25756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.50554953 +25758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.519911169 +25759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.713804807 +25760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 7.940106113 +25761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.49042198 +25762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.578548305 +25763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.446131114 +25768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.823024779 +25767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.834818284 +25764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.561954291 +25769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.670785104 +25765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.5402279 +25766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.419274581 +25771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.567523161 +25770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.805680641 +25772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.264646349 +25773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.223838882 +25774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.769093392 +25775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.901239896 +25777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 8.425755025 +25776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.677606714 +25779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.369258447 +25778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.706907512 +25781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.00552993 +25782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.270807196 +25780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.467657038 +25783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.297953029 +25785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.333046185 +25784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.133909149 +25786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.00910481 +25787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.284332728 +25789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.458081504 +25790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.968801042 +25788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.551176612 +25791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.593111409 +25792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.600957063 +25793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.211183927 +25794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.000687127 +25795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.527827188 +25796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.349935449 +25798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.238309852 +25797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.72421696 +25799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.962856267 +25800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.310013791 +25802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.852776184 +25803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.90917767 +25804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.413991968 +25801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.816452537 +25805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.511757751 +25806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.746430315 +25807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.603234367 +25808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.741748065 +25809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.292964231 +25810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.911773298 +25811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.081351554 +25812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.307875389 +25814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.768898021 +25813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.312136664 +25815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.451040036 +25816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.765535809 +25819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.712913487 +25817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.643069917 +25820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.360506676 +25821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.471455616 +25818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 7.09423577 +25822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.05726457 +25823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.502294293 +25824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.129747563 +25826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.544461416 +25828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.91862839 +25825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.257122981 +25827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.637458341 +25829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.135052063 +25830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.388323924 +25831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.94519348 +25832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.473198241 +25833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.859808079 +25835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.141678648 +25834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.558113045 +25837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.459464281 +25838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.529615361 +25836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.628725195 +25839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.84156673 +25840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.344189217 +25841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.728784192 +25842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.270174153 +25843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.399411265 +25845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.75520489 +25844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.325786359 +25847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 7.148341232 +25846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.052811693 +25848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.284405314 +25849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.251106147 +25851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.479704535 +25852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.947652794 +25850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.473789689 +25853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.251192498 +25854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.952159357 +25855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.757796768 +25857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.676518844 +25856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.940473412 +25858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 8.682400727 +25860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 8.41502526 +25859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.597833893 +25861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.827601165 +25862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.632414795 +25865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.260050548 +25863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.829782331 +25866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 8.706056916 +25864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.714277972 +25868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.701981106 +25869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.323212922 +25870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.143507107 +25867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.144172678 +25871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.649721735 +25874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.793353461 +25872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.498703855 +25873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.406919437 +25877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.941875959 +25876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.34634069 +25878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.775240878 +25875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.071608896 +25879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.208495049 +25880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.535293251 +25881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.415337955 +25882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.456548243 +25883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.677568682 +25884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.931176339 +25885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.126710181 +25886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.176756757 +25887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.361721864 +25888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.460275064 +25890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.951742223 +25891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.735530174 +25889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.290108687 +25892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.531196252 +25894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.831146422 +25895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.995066871 +25893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.385353289 +25896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.733383877 +25897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.362744459 +25898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.398728866 +25899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.986127658 +25900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.150632134 +25902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.00259097 +25901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.957878661 +25903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.419608342 +25904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.024636854 +25905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.500509921 +25906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 7.744678139 +25908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.495658513 +25909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.982081415 +25910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.308041615 +25907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.532684117 +25912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.655001255 +25911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.81567085 +25913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.958211179 +25914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.138229334 +25915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.838328313 +25917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.449888746 +25918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.742007563 +25919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.254555107 +25916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.398827441 +25921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.229124827 +25920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.382402235 +25923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.584495794 +25922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.264287735 +25924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.575323887 +25927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.015431908 +25929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.582819121 +25925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.739303604 +25928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.286628846 +25926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.05096632 +25930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.30299592 +25931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.245945571 +25932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.321826697 +25933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.549427676 +25934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.056977459 +25937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.098005113 +25935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.421505922 +25936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.428225561 +25938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.338098344 +25939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.953008844 +25941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 7.041960639 +25942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.832139924 +25943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.671277615 +25945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.69226075 +25944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.888402656 +25940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.592017049 +25946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.562887803 +25947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.42286713 +25948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.260478204 +25949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 7.517711288 +25953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.499848035 +25950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.371862827 +25952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.778679449 +25951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.685655572 +25955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.577547882 +25954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.009828554 +25956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.857660913 +25959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.98640828 +25957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.198206928 +25960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.988270072 +25958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 7.426183438 +25961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.856765228 +25963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.873129163 +25962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.075307132 +25964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.733830729 +25966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.125567759 +25965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.023230577 +25968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.115154805 +25969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.092746442 +25967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.44565489 +25971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 1.842570965 +25970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.676787295 +25972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.492115257 +25973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.694040465 +25974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.047089361 +25975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.78868686 +25976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.820897441 +25977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.823559905 +25978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.197979429 +25979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.883831489 +25980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 7.407779143 +25981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.058300273 +25983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.53952206 +25982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.770019606 +25984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.952965842 +25988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.07201967 +25987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.590138001 +25985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.093853776 +25986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.847614426 +25989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.729404853 +25990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.240879398 +25991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.817707379 +25992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.894924003 +25993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.585729653 +25995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 4.450945794 +25996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 6.15624749 +25994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.67200572 +25997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 3.050626069 +25998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 2.713174045 +25999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 5.217930291 +26000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.560977455 +26001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.407683632 +26002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.897794819 +26004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.544440478 +26003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.277923913 +26005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.835339545 +26007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.498222821 +26006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.117573683 +26008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.177773543 +26009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 6.034342606 +26010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.169036853 +26011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.157634449 +26014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.173242833 +26013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.654090837 +26015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.063753532 +26012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.502400864 +26016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.685667625 +26017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.85035424 +26019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.54128117 +26018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.882528497 +26020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.622226113 +26021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.981743578 +26022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.877198272 +26024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.881351096 +26023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.753838809 +26025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.303418603 +26027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.632714796 +26026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.237420241 +26029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.085728405 +26028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.871254652 +26030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.867343936 +26031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.047090352 +26034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.459838658 +26033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.562216105 +26032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.236449571 +26035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.393375365 +26036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.660668332 +26037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.540569073 +26038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.736977754 +26039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.130151008 +26041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.396630149 +26040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.452153497 +26042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.958519629 +26043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.291387351 +26044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.660582322 +26045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.017941839 +26047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.818845283 +26048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.499690906 +26049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.401372248 +26050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.490798082 +26046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.359477665 +26051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.853754975 +26053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.092243797 +26052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.122183171 +26054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.840676367 +26055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.236225542 +26056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.284327359 +26057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.63433082 +26058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.216354007 +26060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.062873629 +26061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.618920326 +26059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.508482757 +26062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.156588721 +26063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.760837058 +26064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.123951351 +26065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.499193558 +26066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.719873253 +26068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.808772055 +26069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.524492848 +26067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.119067618 +26070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.394876719 +26071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.374708336 +26072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.458962465 +26073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.113730493 +26074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.668852467 +26076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.041703666 +26075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.698985522 +26077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.927006585 +26079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.027370474 +26078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.890200683 +26082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.507300787 +26080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.904402257 +26081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.331888445 +26084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.076587079 +26085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.288546943 +26083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.954287169 +26086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.074299513 +26087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.57049549 +26088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.629524103 +26090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.586687613 +26089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.386675348 +26091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.986020436 +26093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.655851844 +26092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.147204404 +26094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.852726936 +26096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.096127418 +26097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.333732656 +26095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.341645036 +26098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.768545351 +26099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.142431903 +26100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.361958383 +26101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.620161447 +26102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.813217426 +26104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.683204134 +26103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.580270232 +26106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.584092036 +26105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.156687726 +26108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.280425163 +26107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.158209763 +26109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.893023024 +26110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.242027782 +26111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.783406919 +26113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.447444996 +26112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.410827052 +26115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.792942453 +26116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.768105414 +26117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.547713608 +26118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.326174403 +26119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.677983642 +26121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.02943427 +26114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.392129705 +26120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.876832598 +26122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.024628626 +26123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.68790584 +26124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.634841686 +26125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.828092529 +26126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.21095626 +26127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.701182219 +26129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.408764468 +26128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.028473814 +26130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.755599392 +26131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.247266387 +26132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.72276407 +26133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.284118787 +26135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.897661929 +26134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.530809942 +26138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.046397245 +26136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.443799065 +26140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.349496921 +26139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.520983208 +26137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.006361306 +26143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.440684678 +26141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.811647346 +26142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.383229097 +26144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.025324962 +26145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.549985633 +26147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.57964758 +26150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.139382544 +26146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 6.500721106 +26148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.542803141 +26151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.709938281 +26149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.941255867 +26152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.330934814 +26153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.884404838 +26154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.981982019 +26156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.345339063 +26155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.51659716 +26160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.626501195 +26158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.875321538 +26159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.6971413 +26157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.043458676 +26161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.696673556 +26162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.70727822 +26166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.823326083 +26164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.938497926 +26163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.01101766 +26167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.203648315 +26168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 6.613851563 +26165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.079875535 +26169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.222155026 +26170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.322083218 +26171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.03307199 +26172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.624726885 +26176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.225777515 +26173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.505080252 +26174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.487514281 +26177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.037609966 +26175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.852286893 +26180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.165734534 +26179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.137055319 +26181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.482088546 +26178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.154367857 +26183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.387138859 +26182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.194334716 +26184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.120522144 +26185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.275658975 +26187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.424757168 +26186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.093136248 +26189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.86344409 +26188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.399412363 +26190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.307941118 +26191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.455094072 +26192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 6.009191888 +26195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.512811425 +26194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.336651729 +26196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.457646642 +26197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.001730478 +26198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.499469517 +26199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.866534735 +26193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.242911941 +26200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.547643766 +26201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.363622931 +26202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.90295654 +26204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.785137785 +26203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.182463277 +26205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.1581377 +26207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.163570563 +26208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.419516003 +26206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.528986068 +26209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.858476142 +26211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.548986485 +26212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.966122607 +26210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.459225619 +26213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.082540867 +26215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.734307266 +26216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.956734603 +26217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.248510749 +26214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.010503633 +26218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.205561012 +26219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.548021994 +26220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 6.206367132 +26221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.793424715 +26222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.308753465 +26224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.707705808 +26223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.681473874 +26225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.034014339 +26227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.792677211 +26226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.761330184 +26228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.76635433 +26229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.786702576 +26231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.639863963 +26232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.60484434 +26230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 6.878085761 +26233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 7.634361773 +26234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.652982018 +26235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.904762522 +26236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.979072896 +26237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.951278305 +26238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.928087331 +26239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.303088023 +26240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.785681974 +26243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.651622822 +26245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.138629752 +26244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.25669361 +26241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.709857518 +26242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.66853072 +26246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.924821783 +26248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.343961562 +26249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.889679701 +26247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.397321274 +26250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.581469765 +26252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.259709453 +26251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.759449697 +26253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.662238587 +26254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.316769282 +26255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.450854428 +26257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.637734014 +26258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.128477323 +26260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.021396219 +26259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.216680465 +26261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.530330698 +26256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.008333856 +26262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.447349991 +26263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.663209254 +26264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.412211331 +26265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.691732765 +26266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.363290141 +26268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.38200193 +26267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.151896946 +26269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.413492443 +26271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.497143386 +26270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -1.608455427 +26272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.56577439 +26273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.298781945 +26274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.307340453 +26275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.980841975 +26277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.670215716 +26278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.521075312 +26276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.878367485 +26279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.484978432 +26280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.329145395 +26281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.777572397 +26282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.633145587 +26284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.751486075 +26285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.497379976 +26283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.779208017 +26287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.58298501 +26286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 6.466284379 +26288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.99846013 +26289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.532776993 +26290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.618126574 +26291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 6.409482832 +26292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.70219888 +26293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.652359289 +26295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.544943301 +26294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.721811898 +26296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.247198885 +26298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.540770105 +26297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.715703071 +26300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.465680772 +26301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.941958357 +26299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.276956543 +26302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.074171577 +26304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.227969692 +26303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.456843656 +26305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.079509417 +26307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.455849224 +26309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.146578537 +26308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.144361309 +26306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.910545163 +26310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.688806113 +26311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.508992282 +26312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.181734521 +26313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.119483595 +26314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.756402456 +26315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.678255174 +26317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 6.113318672 +26318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.479687995 +26319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.314590375 +26316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.868468169 +26321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.200903965 +26320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.880747291 +26322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.643812167 +26323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.773386899 +26324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.06640777 +26326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.103725158 +26325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.733483759 +26327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.012697199 +26329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.751711563 +26328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.418799146 +26330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.560985662 +26331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.99975612 +26332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.435327239 +26335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.226301529 +26334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.500904873 +26333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.092619438 +26336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.935497104 +26337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.043936624 +26338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.20447829 +26339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.932369011 +26340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.07848559 +26342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.901085417 +26341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.841615932 +26345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.726556591 +26344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.172136594 +26346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.483654067 +26347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.467021542 +26343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.395724013 +26348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.238582259 +26349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.99062673 +26350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.197662751 +26351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.953361443 +26352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.14218727 +26354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.261276764 +26353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.055773649 +26355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.621211309 +26357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.129167219 +26358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.061843747 +26359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.505676585 +26356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.992426382 +26360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.14223252 +26361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.093173675 +26362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.081690218 +26364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.743323974 +26365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.248918574 +26367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.470038571 +26368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.172001041 +26363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.738184588 +26369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.45365589 +26366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.047668053 +26370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.011272995 +26371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.374723292 +26372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.632702646 +26373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.798093437 +26374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.40993184 +26377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.463790291 +26375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.383588944 +26378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.524646479 +26376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.243313405 +26379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.026974738 +26380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.552493416 +26381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.239392852 +26382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.304359731 +26383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.86978638 +26385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.388207878 +26386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.760928764 +26387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.063629926 +26388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.417688793 +26389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.265533759 +26390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 6.363822815 +26384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.384833031 +26391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.373270323 +26392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 6.436705607 +26393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.802524107 +26394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.203873965 +26398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.864009416 +26397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.776960559 +26396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.132244728 +26399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.448926109 +26395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.433718583 +26400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.207050049 +26401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.21110548 +26402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.653860402 +26405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 6.201038667 +26403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.054023832 +26404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.549825863 +26407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.008760898 +26408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.330690652 +26409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.559667366 +26410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.533300806 +26406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.403079057 +26411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.920792217 +26413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.373577065 +26414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.079569346 +26415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.583082836 +26412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.324897302 +26416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.134419376 +26418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.99183225 +26417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 6.441385493 +26419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.753143627 +26421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.132229608 +26420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.95391395 +26423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.954134981 +26424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.867658954 +26425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.812952591 +26426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.514358109 +26427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.898966815 +26422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.805870638 +26428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.168197767 +26429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.367844237 +26430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.576678674 +26431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.489656951 +26432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.465718745 +26435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.468525393 +26434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.927559604 +26436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.853144 +26437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.67522897 +26433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.083438176 +26440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.963827433 +26438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.928163065 +26439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.756301864 +26442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.71980882 +26443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.106614485 +26444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.254269266 +26445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.797783511 +26441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.78850314 +26446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.278238356 +26447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.344090369 +26448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.199338055 +26449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.466631415 +26451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.275238217 +26450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.438821409 +26454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.251275362 +26452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.627014051 +26455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.54496955 +26453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.430298782 +26456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.106862273 +26457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.704997819 +26458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.562657284 +26459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.185335909 +26460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.438596663 +26461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.239739806 +26463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.008838641 +26464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.179953891 +26465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.254498465 +26462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.697997161 +26466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.26568774 +26467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.074333392 +26468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.368303964 +26469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.872718574 +26471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.184161761 +26470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.198692972 +26472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.139312575 +26473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.2573085 +26474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.7736202 +26475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.744104583 +26476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.724862146 +26477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.530778803 +26479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.217686496 +26480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.878577754 +26482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.785548692 +26484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.644535483 +26478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 6.521473907 +26485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.893333447 +26483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.583374101 +26481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.5006708 +26487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 7.61162455 +26486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.999733567 +26488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.400659651 +26489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.659306697 +26490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.091455019 +26491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.799105789 +26492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.606922651 +26493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.428912486 +26494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.086325433 +26496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.255947482 +26497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.459227743 +26498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.745035459 +26495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.152171699 +26500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.518726052 +26499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.828258091 +26501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.295874957 +26502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.784055832 +26503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.29697733 +26504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.930330414 +26506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.190254849 +26507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.291837911 +26505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.892537332 +26508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.174812912 +26509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.481582087 +26510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.142969415 +26511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.401096193 +26512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.286174449 +26513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.979826554 +26514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.259920202 +26515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.314837888 +26516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.792129143 +26518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.16347213 +26519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.944187396 +26520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.120433443 +26521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.422962504 +26517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.877963538 +26522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.365819466 +26523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.791027332 +26524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.420209665 +26525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.069679264 +26526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.523143234 +26527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.846045873 +26528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.914055634 +26529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.333316573 +26531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.919840998 +26530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.137851666 +26532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.355227674 +26533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.597470089 +26535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.094478207 +26534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.416120516 +26536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.822945437 +26539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.688472604 +26537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.550651727 +26538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.67817293 +26540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.918360657 +26541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.760915984 +26544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.277404372 +26543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.238575538 +26542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.450286381 +26545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.56987007 +26547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 6.032543174 +26548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.06791058 +26546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.834365449 +26549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.694896202 +26551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.104390093 +26550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.283403241 +26552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.414893702 +26553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.87709523 +26554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.552164798 +26555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.128144006 +26556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.167414969 +26557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 6.293811291 +26558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.385506132 +26559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.951001606 +26560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.867352917 +26561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.212351673 +26562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.279047745 +26563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.345453316 +26564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.077072725 +26565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.917056365 +26566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.975984114 +26567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.085881041 +26569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.179753717 +26568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.033996194 +26570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.554325846 +26571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.885446093 +26574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.163793595 +26575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.426289449 +26572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.149950435 +26573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.521522245 +26577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.924129421 +26578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.508868057 +26576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.379028778 +26579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.381477943 +26581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.166452676 +26580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.389092989 +26582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.894604754 +26583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.582255104 +26584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.700300386 +26585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.719472533 +26586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.802320665 +26587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.551612181 +26588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.066654137 +26589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.251586045 +26592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.83516699 +26591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.517317206 +26593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.566293156 +26594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.915083178 +26590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.713526376 +26595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.838367447 +26596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.314237064 +26597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.555497571 +26598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 8.784013773 +26599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.243153967 +26600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.712437342 +26601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.585553927 +26603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.850364429 +26602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.781172103 +26604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.408650634 +26605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.523794093 +26607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.279978793 +26606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.144312274 +26608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.841213099 +26609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.587665661 +26610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.098166006 +26611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.160348358 +26612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 6.419690336 +26614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.213191401 +26613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.670961476 +26615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 6.126651355 +26616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.561544996 +26617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.883123618 +26618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.956371095 +26619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.187063221 +26620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.355654205 +26621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.460965583 +26622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.051284248 +26623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.140681789 +26624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.174253871 +26626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.761801596 +26625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.121210812 +26628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.468515685 +26629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.610032512 +26627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.159443648 +26630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.025814523 +26631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.829522833 +26632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.922261643 +26633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.236770976 +26634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 6.109495185 +26636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.257173644 +26635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.29061586 +26637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.146336432 +26638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.229050109 +26639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.928560545 +26640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.822302657 +26641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.514260142 +26642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.615360902 +26643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.95000336 +26644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.683077051 +26647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.851109634 +26646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.288344652 +26648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -1.550749266 +26649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.71272569 +26650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 6.818172117 +26645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.123610689 +26651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.385317451 +26652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.14717161 +26653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.449784625 +26654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.978842658 +26656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.309298462 +26657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.274067148 +26655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.661894666 +26658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.457443943 +26660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.483794636 +26659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.534306671 +26661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.914673791 +26662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.277097705 +26663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.009091208 +26664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.185984819 +26665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.922005695 +26666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.620256755 +26667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.510668821 +26668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.170919311 +26669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.474397458 +26670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.824919209 +26672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.876053427 +26671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.384945615 +26673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.265383712 +26675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.198675921 +26674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.870816373 +26676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.917389634 +26677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.828488012 +26678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 7.025543691 +26679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.023954468 +26680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.924137208 +26681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.623787412 +26682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.334672575 +26684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.740340768 +26683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.151481096 +26685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.364736663 +26686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.306280136 +26687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.268043153 +26688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.250851079 +26689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.314462261 +26690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.942937453 +26691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.946729443 +26693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.779418371 +26695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.936333592 +26694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.760190256 +26696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.509624903 +26697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.398117745 +26692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.801091019 +26698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.291312246 +26699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.431860428 +26701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.646884013 +26702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.392565709 +26700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.479125813 +26703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.79211421 +26704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.908904893 +26705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.97707877 +26706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 7.155502392 +26707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.37376894 +26708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.044794022 +26709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.883065035 +26710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.864496052 +26711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.855047359 +26712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.022094768 +26713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.81948495 +26714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.868526096 +26715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.077318174 +26716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.591414625 +26718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.526518547 +26717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.793744757 +26720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.705602131 +26719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.51617075 +26721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.282160647 +26722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.064597042 +26723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.403104048 +26724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.110833579 +26725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.275410691 +26726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.951559031 +26728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.990963092 +26727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.543539031 +26730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.043257974 +26732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.504407826 +26731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.752965237 +26729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.120617613 +26734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.162647302 +26733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.198309866 +26735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.377633075 +26736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.805756869 +26737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.229253722 +26738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.517988151 +26742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 6.169942433 +26739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.751309235 +26741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.672531305 +26743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.09160965 +26740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.068938141 +26744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.842424945 +26745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.444649283 +26747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.825293112 +26749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.162216771 +26748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.689165418 +26746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.455405541 +26750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.432691006 +26751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.509017736 +26752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.707331691 +26753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.646431487 +26755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.886832923 +26754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.357031603 +26756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.409172303 +26758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.741287809 +26757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.054113139 +26759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.502546273 +26760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.427297055 +26761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.641241973 +26762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.791146649 +26763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.869424974 +26764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.497717663 +26766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.603958406 +26765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.981576768 +26768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.049704605 +26767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.906077315 +26769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.818254755 +26770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.213882054 +26771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.413902458 +26774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.395106224 +26773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 6.352904432 +26772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.462629286 +26775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.222561914 +26776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 6.052146182 +26777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.708885953 +26779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.322402761 +26778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.059878584 +26780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.050042335 +26781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.837869271 +26782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.536168768 +26783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.227605412 +26785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.308435858 +26786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.952257757 +26784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.260151013 +26787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.447204208 +26789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.108068586 +26788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.107536929 +26790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.996589801 +26791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.715018165 +26792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.018619636 +26793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.455716711 +26794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.878805952 +26795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.667208162 +26796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.127047802 +26797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.883789578 +26798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 6.399360543 +26799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.407346146 +26801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.454980825 +26800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.013292186 +26803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.261272382 +26804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.154115024 +26805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.327406051 +26806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.728755256 +26802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.582095317 +26807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.720273059 +26809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.972353028 +26808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.240472672 +26810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.939800408 +26812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.612196744 +26811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.473027617 +26813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.715652586 +26814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.896143703 +26815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.049642391 +26816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.262393005 +26817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.151843395 +26818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.628562201 +26819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.951169721 +26820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.890125345 +26821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.81592399 +26824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.381575118 +26825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.053777998 +26823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.472477468 +26826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.646056381 +26822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.702358982 +26828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.150099636 +26827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.341560351 +26829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.080939838 +26830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.321823445 +26831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.143344454 +26833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.016956779 +26832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.662631651 +26835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.832615453 +26834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.718038063 +26836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 6.283615061 +26837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.524836381 +26838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.970007261 +26841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.071054709 +26839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.544907883 +26840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.121083398 +26842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.924193134 +26845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.43165914 +26844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.399729839 +26848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.425708732 +26849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 6.047537032 +26846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.82691198 +26850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.068057252 +26847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.431386947 +26851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.901771718 +26843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.325779877 +26852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.761019319 +26853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.09323681 +26854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.395863664 +26855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.622315234 +26856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.39846539 +26857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.530569501 +26858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.082961246 +26859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.443904281 +26860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 7.47623763 +26861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.134244089 +26862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.263083702 +26863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.417703278 +26865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.51359502 +26864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -1.392490242 +26866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.249798385 +26868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.170398158 +26867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.427923875 +26869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.289944377 +26870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.998926643 +26871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.715412047 +26873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.465766202 +26872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 7.784733624 +26875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.079159268 +26874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.376578987 +26876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 6.112979087 +26878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.319514119 +26877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.363608627 +26879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.0398975 +26880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.98680644 +26881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.00930247 +26882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.53473492 +26883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.851131144 +26885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.013993619 +26886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.481962177 +26887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.635232509 +26888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.565516566 +26889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.432085291 +26890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.009216245 +26884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.187707368 +26891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.454181615 +26892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.632974678 +26894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.462503021 +26893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.591533096 +26895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.822024526 +26897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.314652753 +26896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 6.382707028 +26898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.78305057 +26899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.120557008 +26900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.120070262 +26901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.616734915 +26902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.139104003 +26903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.004560335 +26904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.614483006 +26905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.610166952 +26908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.638945661 +26909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.320681924 +26907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.516865957 +26911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.590203798 +26910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 6.271325936 +26906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.970650959 +26912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.541650045 +26913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.619027983 +26915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.000068853 +26914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.10848832 +26916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.000169926 +26917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.683743694 +26918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.193703026 +26919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.315484379 +26921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.082778436 +26920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 6.396337257 +26922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.380739638 +26923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.745739495 +26926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.934551772 +26925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.262524355 +26927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.209528063 +26924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.455125615 +26929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.65885318 +26928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.074961293 +26930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.368792705 +26931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.311997154 +26933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.295408415 +26935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.928295261 +26932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.620855286 +26937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.538350188 +26936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.314561409 +26938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.003030161 +26939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.408684584 +26940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.076976624 +26941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.532617637 +26942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.430905843 +26943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.057832913 +26934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.200891428 +26945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.498552208 +26944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.392676818 +26946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.699980608 +26947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.172065032 +26948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.794975926 +26953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.912626119 +26949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.104088034 +26950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.290859985 +26952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.044754835 +26954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.923410297 +26951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.15026201 +26955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.813540043 +26956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.888668139 +26958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.145244133 +26957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.953715104 +26959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.597851721 +26960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.167501001 +26961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.640328847 +26963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.024908993 +26962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.6578818 +26965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.479519456 +26964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.09123487 +26966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.582968075 +26968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.069477767 +26969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.860596483 +26967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 8.191069015 +26970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.243958833 +26971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.073883077 +26974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.863343935 +26972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.8216652 +26973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.199689806 +26975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.813113263 +26976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.262175077 +26977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.680298813 +26978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.3190538 +26981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.282823792 +26982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.600596765 +26980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.348003994 +26983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.891507918 +26984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.459729259 +26985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.608100791 +26979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.357412581 +26986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.654085135 +26987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 4.584171821 +26988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.347855153 +26990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.120602215 +26989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 1.553029763 +26991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 3.071208857 +26992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.860574722 +26993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 5.032352873 +26994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.356136792 +26995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.599506622 +26996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.260331347 +26997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.235361564 +26999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 6.155117238 +27000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 2.068754535 +26998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -1.198357254 +27001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.18204801 +27002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.221350447 +27003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.281085601 +27004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.330255146 +27005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.068970153 +27006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.685557825 +27008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.548404917 +27007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.657738513 +27010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.17704243 +27009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.755581331 +27012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.190463753 +27013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.588230674 +27014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.737846499 +27011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.761191751 +27015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.199411938 +27016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.072055993 +27017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.012840313 +27019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.358614206 +27020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.110972879 +27021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.667778464 +27022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.757690185 +27018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.809069655 +27023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.050971044 +27024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.65234553 +27025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.986838771 +27026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.472601601 +27027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.611665684 +27028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.265485903 +27029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.647359854 +27031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.617760189 +27030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.008676367 +27032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.906205214 +27033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.418270869 +27034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.81653869 +27035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.728595583 +27036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.269022191 +27037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.342024092 +27038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.115738117 +27040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.828483651 +27041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.912745467 +27039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.687727826 +27043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.556142643 +27044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.169139388 +27042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.214143581 +27045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.991255088 +27046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.834413008 +27048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.089583832 +27047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.996657358 +27051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.064610347 +27050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.91386928 +27053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.002170377 +27052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.189465859 +27049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.934857986 +27054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.516031563 +27056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.499578896 +27055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.981320108 +27058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.642212706 +27059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.381768205 +27061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.743207364 +27060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.632961743 +27057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.199973771 +27064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.080668476 +27063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.015493146 +27062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.421107887 +27065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.306627221 +27066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.890370876 +27068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.17117119 +27069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.430977303 +27067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.783026207 +27071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.663976642 +27072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.910039435 +27073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.444110507 +27070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.450526458 +27074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.611555913 +27075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.960643835 +27076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.262491128 +27077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.666392445 +27078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.539035322 +27079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.005202304 +27081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.338032765 +27080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.172781521 +27082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.127410372 +27084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.077275582 +27083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.9557269 +27087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.188843112 +27090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.103022935 +27088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.476937628 +27089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.12633278 +27086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.606149052 +27091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.330365391 +27092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 5.120107734 +27085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.318140781 +27096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.622688069 +27095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.490445866 +27094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.068313623 +27093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.571892463 +27097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.474362391 +27099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.663208347 +27098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.190341623 +27100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.018053554 +27102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.09593237 +27103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.120993103 +27104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.731498741 +27101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.347930347 +27106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.323124033 +27105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.05428573 +27107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.441895686 +27108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.16171429 +27109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.148136382 +27110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.268700573 +27111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.131819226 +27112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.302886297 +27113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.502823438 +27114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.495710942 +27115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.395428089 +27118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.275507799 +27116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.685224469 +27119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.686160728 +27122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 5.72831488 +27117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.731576708 +27121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.097072863 +27120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.889926028 +27123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.411787812 +27124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.659577937 +27125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.079913395 +27126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.109727066 +27127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.916191982 +27128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.26532761 +27129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.309011378 +27130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.936469914 +27131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.360187736 +27132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.141585807 +27133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.518755188 +27135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.153054769 +27136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.937156232 +27138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.709617246 +27137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.661528378 +27134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.178901723 +27139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.514817505 +27140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.790181241 +27141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.336662368 +27142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.587095083 +27145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.539402316 +27143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.645186065 +27146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.624220114 +27144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.825084985 +27147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.860109316 +27148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.998058383 +27150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.799206071 +27151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.411472387 +27152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.682405663 +27149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.334660024 +27153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.308543871 +27154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.834802949 +27155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.600293079 +27156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.606329674 +27157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.552197696 +27158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.80203633 +27159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.770685779 +27161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.454871647 +27160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.093388353 +27162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.355150373 +27163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.288779625 +27164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.223229833 +27165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.881549889 +27166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.569427551 +27167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.842584537 +27168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.144390486 +27171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.427816096 +27170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.223258673 +27169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -2.109050337 +27172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.120759894 +27173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.17871133 +27174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.898798236 +27175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.204127702 +27176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.06797902 +27178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.146466505 +27179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.631502192 +27180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.678300406 +27181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.811906141 +27182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.180497949 +27183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.398704602 +27184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.573820561 +27177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.303863934 +27186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.374475012 +27188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.567508584 +27187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.905156461 +27185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.018116936 +27190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.165071079 +27189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 5.833498866 +27192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.857122618 +27191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.192814317 +27195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.735464269 +27196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 6.361649552 +27194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.138089283 +27198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.577740405 +27197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -2.753543092 +27193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.171762271 +27199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.113468219 +27200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.756620857 +27201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.485142226 +27202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.83849321 +27203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.80778581 +27204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.832693152 +27205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.063509924 +27207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.741474779 +27208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.124120107 +27209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.533376214 +27210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.975622711 +27211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.085167825 +27206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.649697701 +27213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.963525163 +27212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.038897646 +27214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.879718531 +27216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.167446035 +27215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.027158874 +27217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.916348134 +27220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.109577954 +27219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.76808111 +27218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.866968439 +27221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.758563545 +27222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.953012797 +27223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.266649191 +27224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.680909626 +27226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.237127926 +27228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.949470237 +27225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.163044942 +27230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.478844155 +27229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.05359135 +27227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.060924488 +27231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.500070432 +27232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.604074969 +27233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.657305446 +27235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.7494698 +27234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.883900715 +27237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.087678247 +27236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.42178541 +27238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.754810662 +27240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.350570882 +27239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.806088908 +27241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.33869379 +27242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.281278708 +27243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.678740833 +27244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.239800535 +27245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.950267532 +27246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.61882227 +27247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.595259172 +27249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.99158861 +27248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.892973813 +27250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.202883566 +27251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.047583927 +27252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.710269641 +27253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.232744702 +27256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.479645274 +27254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.90766132 +27257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.537178544 +27255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.374615675 +27258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.725252499 +27260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.650507029 +27261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.777300002 +27259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.214408171 +27265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.190171953 +27264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.460629696 +27263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.267900842 +27262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.243040479 +27266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.140026164 +27269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.550480861 +27267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.157260344 +27271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.321425904 +27268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.026639576 +27270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.016933048 +27273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.05549493 +27274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -2.513769533 +27272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.872979553 +27275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.214558089 +27276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.454384726 +27279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.586383046 +27278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.189882228 +27280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.462668753 +27277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.804091556 +27281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.935173387 +27282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.398642986 +27283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.824343275 +27285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.044502765 +27286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.127346157 +27287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.088916842 +27284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.431280962 +27288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.002229138 +27289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.605535854 +27292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.041049924 +27290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.937041567 +27293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.637435329 +27294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.12282478 +27295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.271409352 +27291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.038035056 +27296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.762610534 +27297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.795244669 +27298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.649684893 +27300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.158320428 +27301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 6.579518592 +27299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.702132964 +27303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 5.428621975 +27302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.988195278 +27304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.247605552 +27305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.770895915 +27306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.602842349 +27307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.167024877 +27308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.629535031 +27310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.086442404 +27311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.015917161 +27312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.10174556 +27309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.55947609 +27313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.805378779 +27314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.470183574 +27315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.581627936 +27318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.987612505 +27316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.646922627 +27317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.470843716 +27319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.879538399 +27320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.145049021 +27321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -2.584778385 +27323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.856607953 +27322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.115949102 +27325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.355596437 +27326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.423529357 +27324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.138510745 +27327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.490326865 +27330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.424011015 +27329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.055245355 +27331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.6126999 +27332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -3.75715956 +27334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.037526476 +27333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.34650214 +27335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.726468221 +27328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.814982819 +27336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.834573214 +27338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.201653304 +27339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.397604636 +27340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.047556284 +27337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.409653012 +27341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.119434309 +27342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.929797283 +27344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.801864228 +27343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.501858077 +27346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.629252656 +27349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.264726337 +27348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.504784671 +27345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.313604713 +27350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.131090811 +27347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.567980623 +27351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.204139811 +27353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.982882247 +27356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.130390909 +27354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.507844001 +27355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.406202323 +27357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.008870383 +27352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.250285308 +27358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.413232264 +27360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.198684792 +27359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.500454416 +27363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.724226495 +27361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.089344668 +27364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -2.048499657 +27362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.320569027 +27366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.474958178 +27365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.530891124 +27368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.351098611 +27370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.332119811 +27367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.459473105 +27372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.425969059 +27371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.642382292 +27369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.58899401 +27373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.01057033 +27376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.466834037 +27375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.05608316 +27377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.301254016 +27374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.980874596 +27378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.868086744 +27380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.758014592 +27379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.771554968 +27381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.179929271 +27384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.096800298 +27383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.727549571 +27382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.476447078 +27386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.086942439 +27387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.515862447 +27388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.286284469 +27385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.511137488 +27389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.114213063 +27391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.078726749 +27392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.509181874 +27390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.578565305 +27393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.250697359 +27395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.399934035 +27394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.50954632 +27396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.988815904 +27397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.87170508 +27398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.827164996 +27399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.899279855 +27401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.987365708 +27400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.206540048 +27403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.150366826 +27402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.437960468 +27405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.056275938 +27404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.028096056 +27407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.101989274 +27406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.640199618 +27410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.302053942 +27408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.712133931 +27411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.211682387 +27409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.460083274 +27412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.197005519 +27414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.276400801 +27415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.177396092 +27413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.280623101 +27416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.258880159 +27417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.025368224 +27419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.220522078 +27418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.560192523 +27420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.309426107 +27422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.106774018 +27424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.557678806 +27421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.045090267 +27423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.454754743 +27425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.586216936 +27426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.387930256 +27427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 5.262991525 +27429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.695732223 +27428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.15032435 +27431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.394170202 +27430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.448916234 +27432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.508825888 +27433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 6.804119069 +27434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.729379475 +27435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.627634086 +27436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.180748036 +27437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.444120554 +27439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.798133093 +27438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.268770813 +27440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.060617962 +27442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.39712674 +27441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.299336841 +27443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.275482186 +27444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.543937697 +27445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.673493881 +27446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.636212929 +27448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.392417418 +27447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.116445099 +27449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.996786768 +27451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.232903125 +27450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.628474999 +27452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.927281173 +27453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.075545278 +27455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.577970908 +27454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.351489871 +27456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.97054448 +27457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 5.015799985 +27460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.553056289 +27458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.664119365 +27459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.795970819 +27463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.011964967 +27464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.213771518 +27461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.948595763 +27462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.568351238 +27465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.3969025 +27466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.460293168 +27467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.391283026 +27468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.779599636 +27470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.535943875 +27471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.635805833 +27472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.559464405 +27469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.42665809 +27473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.226134118 +27475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.539316543 +27474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.822114514 +27477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 5.17096462 +27476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.187803305 +27478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.450767355 +27480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.510938696 +27479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.144280645 +27481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.095078637 +27482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.086171916 +27483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.868970452 +27484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.108380675 +27487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.30253044 +27485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.304110744 +27488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.574934689 +27486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.820731664 +27490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.338941141 +27491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.360782411 +27489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.615790706 +27492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.579158903 +27493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.781258665 +27494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.391846995 +27495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.981561828 +27496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.689705488 +27497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.65225562 +27498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.768691132 +27499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.383812988 +27500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.418241755 +27501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.233804928 +27503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.447217282 +27502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.716577875 +27505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.994936915 +27504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.348447621 +27508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.68329229 +27506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.83417629 +27509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.269596 +27507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.434400977 +27510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.224473084 +27511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.331915715 +27513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 5.236302965 +27514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.942637371 +27516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.302437167 +27517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.049299292 +27512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.913463359 +27515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.7922089 +27518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.372551934 +27520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.215585202 +27521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.020078005 +27519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.157180612 +27523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.789445817 +27522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.147483406 +27524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.665761018 +27525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.910028197 +27527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.010033227 +27529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.088013751 +27531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.000824931 +27528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.697365535 +27526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.003388859 +27533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.114864453 +27532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.612617026 +27530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.086282601 +27535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.266780271 +27534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.123596802 +27536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.724593114 +27537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.669036035 +27539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.126816435 +27538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.943805368 +27541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.477669684 +27540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.453741141 +27543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.680415378 +27544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.778929089 +27546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.354832048 +27542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.770938352 +27547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.230120562 +27549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.452822383 +27548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.370460424 +27545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.777732989 +27550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.936623082 +27553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.967400334 +27551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.908012014 +27552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.560129475 +27554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.414295364 +27555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.087256285 +27556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.154846797 +27557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.852312634 +27561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.863633393 +27558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.149444038 +27560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.332813208 +27559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.646719573 +27562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.487845947 +27563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.405986499 +27564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.068498465 +27566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.018855927 +27567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.173338952 +27568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.905654494 +27569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.046943296 +27565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.211751482 +27572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.920646066 +27570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.016819109 +27571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.58327563 +27574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.112352428 +27575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.85788041 +27576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.716080834 +27579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.617273635 +27578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.20121782 +27573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.767245158 +27580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.781726795 +27577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.879089578 +27581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.764961512 +27583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.956738962 +27582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.472657236 +27586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.341289622 +27584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.605826621 +27587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.842482176 +27585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.511924873 +27589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.018230274 +27588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.022004796 +27590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.089675744 +27591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.920437837 +27593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.042381477 +27595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 5.562883243 +27594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.018977913 +27592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.05412016 +27596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.683756208 +27598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.469550702 +27599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.670780761 +27600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.264536859 +27597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.669564269 +27602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.760909377 +27603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.153161018 +27601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.211277344 +27604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.916643703 +27605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.637362361 +27606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.850196479 +27607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.250397205 +27610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.48124296 +27609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 5.048717989 +27608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.893537992 +27611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.007381241 +27612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.221220109 +27613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.847204815 +27614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.273133094 +27615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.253023652 +27617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.235014344 +27619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.427297558 +27620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.605785504 +27621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.297736163 +27622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.282232739 +27618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.779148434 +27616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.375827187 +27623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.118371307 +27624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.467968506 +27626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.010956538 +27625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.033884116 +27627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.116217759 +27628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -2.476179845 +27629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.859106161 +27630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.439404476 +27631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 5.47012121 +27632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.376294386 +27633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.78716184 +27634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.653376295 +27635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.289130877 +27636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.074302628 +27637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.703853124 +27639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.177466752 +27638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.845924036 +27640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.494742624 +27642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.444487473 +27643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.357348513 +27641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.730398645 +27646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.744293224 +27644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.009971754 +27647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.451509253 +27645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.625903511 +27648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.424521007 +27651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.454116926 +27650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.527272396 +27649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.083810203 +27652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.957863987 +27654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.225625705 +27653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.309920401 +27655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.336765615 +27657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.537298709 +27656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.426591175 +27658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.668766808 +27659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.395756638 +27660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.651185005 +27661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.984718049 +27662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.056645121 +27663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.897199786 +27665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.798852845 +27667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.685358804 +27666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.590549428 +27668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.255163214 +27664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.698815737 +27669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.583469243 +27670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.321397958 +27671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.969880482 +27673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.72405099 +27672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.467262969 +27674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.69297465 +27676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.989659383 +27675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.678579161 +27678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.707049264 +27677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.96016777 +27679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.044024831 +27681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.466922721 +27680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.047526431 +27682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.899066472 +27683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.722791028 +27684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.546309083 +27685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.600216179 +27686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.128076838 +27689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.105350608 +27688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.168856706 +27690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.177309008 +27691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.173772032 +27693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.472031847 +27692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.265934335 +27687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.136422714 +27694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.595000611 +27696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.13748562 +27695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.003865568 +27698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.633922101 +27697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.882629247 +27700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.414771959 +27699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.39418762 +27702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.229264154 +27701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.757776243 +27703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.772275911 +27704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.059734812 +27706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.73908155 +27705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.866035048 +27708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.53644427 +27707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.039394816 +27709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.508639803 +27710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.980135751 +27713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.505797175 +27712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.488304879 +27711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.566950491 +27714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.5245642 +27715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.574343615 +27716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.002660618 +27717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.525615705 +27718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.702007033 +27721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.379730671 +27719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.220443631 +27722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.196118979 +27720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.606048112 +27723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -2.678906236 +27725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.249006512 +27724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.599431232 +27726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.837442517 +27728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.381890486 +27730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.471188818 +27727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.904986809 +27729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.864321351 +27731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.890096263 +27732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.078466164 +27733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.684995024 +27736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.967836791 +27737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.825705732 +27738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.236568349 +27734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.276442752 +27735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.088600268 +27740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.029097732 +27739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.823970222 +27741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.106387535 +27742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.623916823 +27743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.90508712 +27746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.163573956 +27744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.26445588 +27745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.611353271 +27747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.253014926 +27749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.081323626 +27748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.267890821 +27750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.658034434 +27751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.42691622 +27752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.104876832 +27753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.020687163 +27755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.950336719 +27756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.050975382 +27757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.770452091 +27754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 5.489205702 +27758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.035201067 +27760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.417458902 +27759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.557801296 +27761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.550997196 +27762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.032691812 +27763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.837321798 +27764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.996151493 +27765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.525012105 +27767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.600391165 +27766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.960630374 +27769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.71169885 +27768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.336588204 +27770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.614311321 +27771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.417036397 +27772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.933791359 +27773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.571664935 +27775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.04935192 +27774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.417664369 +27776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.475584359 +27777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.959909774 +27778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.588940801 +27779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.137586753 +27780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.251947215 +27782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.157612834 +27783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.812123056 +27781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.978200911 +27785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.626711891 +27784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.581787665 +27786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.233057216 +27787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.020431467 +27788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.538386561 +27789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.108406602 +27790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.452122939 +27791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.131278028 +27793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.183409801 +27792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.090573241 +27794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.431315274 +27795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.332437814 +27796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.349227543 +27797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.272994734 +27798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.776591059 +27800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -2.215509674 +27801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.671141715 +27799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.149533519 +27802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.60655382 +27803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.469910745 +27804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.542117121 +27805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.91109511 +27806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.859748385 +27808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.148549743 +27807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.012383562 +27811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.106508624 +27810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.881928315 +27809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.083739449 +27812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.957252023 +27813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.039871629 +27814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.88590455 +27815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.471416901 +27816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.063263354 +27817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.621851023 +27818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.182713845 +27820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.41894029 +27819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.002069093 +27821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.206964828 +27822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.64742035 +27824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.140042377 +27823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.414896859 +27825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.648605158 +27826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.238108448 +27827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.089063875 +27829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.776018231 +27830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.047902613 +27828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.013629967 +27832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.243903365 +27831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.640743965 +27833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.07848418 +27835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.459597885 +27836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.109007441 +27834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.490921662 +27837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.334238082 +27838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.018101831 +27839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.00665817 +27840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.35356778 +27841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 5.11952333 +27844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.548243007 +27843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.044722407 +27842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.659183619 +27845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.322120509 +27846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.343134218 +27847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.504236656 +27848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.866936279 +27849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.236443483 +27851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.550158451 +27852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.66272162 +27850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.632857299 +27853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.481746661 +27854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.53811271 +27855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.801522218 +27856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.980155986 +27857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.031893777 +27858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 6.18644077 +27860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.313054435 +27859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.533060416 +27861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.564946793 +27864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.414769498 +27865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.987843083 +27862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.270650834 +27866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 5.344172684 +27863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.327807335 +27868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.642883413 +27867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.739572137 +27869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.711540527 +27870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.598345121 +27871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.1090114 +27873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.717260906 +27872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.843352995 +27874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.556287633 +27876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.366460572 +27875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.154627315 +27877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.019693425 +27878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 5.821722643 +27879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.787891731 +27880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.560874861 +27882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.723623776 +27883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.05983019 +27885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.625612583 +27881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.506259041 +27884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.481982394 +27886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.09107207 +27887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.847511928 +27888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.680098416 +27889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.04770984 +27890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.177611337 +27891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.76955236 +27893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.634439504 +27892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.154099164 +27894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.286508552 +27895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.525124358 +27896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.386166718 +27897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.213010981 +27898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.724187954 +27899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.266265335 +27900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.377406931 +27901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.496031535 +27903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.855226762 +27902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.009978488 +27904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.443939217 +27905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.137486319 +27906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.124662877 +27907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.502777859 +27908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.273951475 +27909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.023237662 +27910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.624660428 +27911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.743037513 +27912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.673552059 +27913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.998186625 +27914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.423736943 +27915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.95689178 +27916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.373674946 +27917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.89484779 +27918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.190605593 +27919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.141559402 +27920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.016852817 +27921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.332753644 +27922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.057551567 +27923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.253729991 +27924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.209092221 +27925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.908391127 +27928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.653267817 +27927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.270540553 +27929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.154189133 +27926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.088792269 +27932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.253661798 +27930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.769749653 +27933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.632276257 +27931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.036598728 +27934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.66202938 +27935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.921635263 +27936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.423215915 +27937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.187539439 +27938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.075157264 +27939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.188836197 +27940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.364181841 +27941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.443908106 +27944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.605096844 +27942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.932260523 +27943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.954071342 +27945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.951836536 +27946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.168599839 +27948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.283210548 +27947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.729076379 +27949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.584785493 +27951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.091374641 +27950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.940929745 +27952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.582976185 +27953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.95957403 +27955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.092802219 +27956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.266231525 +27957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.578894299 +27958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.968757552 +27959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 4.790817958 +27960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -2.220720134 +27954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.721049697 +27962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.153957642 +27963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.361821016 +27961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.035159895 +27964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.061159972 +27965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.709350339 +27966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.267895872 +27967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.018084781 +27968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.172047585 +27970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.874957884 +27973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.49330405 +27971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.607832374 +27972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.888569487 +27969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.766633215 +27975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.846605747 +27976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.920326248 +27974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.426349011 +27977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.824157158 +27980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.298841649 +27979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.907134236 +27981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.582725601 +27978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.062032423 +27982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 3.092680098 +27984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.112371099 +27983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.00803111 +27986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.48627885 +27987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.359107852 +27988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.338955239 +27989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -1.296655737 +27990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.120144776 +27985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.359093927 +27991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.772494255 +27992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.419038843 +27993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.463126388 +27995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.829353819 +27994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.664955691 +27996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 2.329842617 +27998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.146662715 +27997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.64585048 +28000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.034703859 +27999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 1.457649219 +28001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.570265137 +28002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.166744341 +28004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.225180601 +28005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 4.13928652 +28006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.17920781 +28003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.698042962 +28008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.378892732 +28007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.057293752 +28009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.207090157 +28010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.060082134 +28011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.780528667 +28012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.007133757 +28013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.789292224 +28014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.325162216 +28016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.795291908 +28017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.929723335 +28015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.751258555 +28018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.230370089 +28019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.281766201 +28020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.087049819 +28021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.88733383 +28023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.378521153 +28025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -2.624571986 +28022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.088324088 +28024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.647496628 +28026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.342777338 +28027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.149905684 +28028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 4.536804214 +28029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.990151296 +28031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.015525899 +28030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.255629848 +28033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.620661548 +28034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.137370549 +28032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.110473159 +28036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.68309263 +28035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.879509577 +28039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.472536797 +28037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.995799835 +28040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.382463188 +28041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.432383437 +28038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.591939595 +28044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.316080732 +28043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.305071178 +28042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.65981064 +28045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.752966993 +28046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.248698945 +28047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.335161425 +28049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.803604786 +28048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.544394143 +28050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.862935946 +28051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.741949634 +28052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -2.563499977 +28054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.19680584 +28055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.3920764 +28056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.473048188 +28053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.735503788 +28057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.417138079 +28058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.928579631 +28059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.044156983 +28060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.042992419 +28061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.560234385 +28063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.92814737 +28064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.494853649 +28066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.410439262 +28062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.248208549 +28065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.779880508 +28067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.281316888 +28069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.658823143 +28070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.608853133 +28071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.952967525 +28068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.721758397 +28073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.742226195 +28074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.741152522 +28072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.712649366 +28075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.257831554 +28078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.220160888 +28077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.436245552 +28080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.33168629 +28079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.815346248 +28081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.567233028 +28082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -2.631323631 +28076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.018644768 +28083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.41151751 +28084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 5.025021149 +28085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.734803566 +28089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.602674239 +28086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.318558463 +28087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.428134654 +28088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.801765103 +28090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.994886738 +28091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.653757884 +28093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.159431403 +28095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.118387403 +28097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.061101117 +28096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.451976436 +28094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.318817189 +28098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -2.482674078 +28099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.939506373 +28092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.604577301 +28100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.140996606 +28102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -2.137154516 +28101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.583640934 +28104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.194268454 +28106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.588141367 +28105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.513633845 +28107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.158058082 +28103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.674588597 +28108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.888183762 +28109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.110023366 +28110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -2.070804069 +28111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.662136924 +28113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.190674223 +28114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.807038554 +28112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.914713268 +28116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.244543741 +28115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.147391718 +28117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.134650295 +28119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.946777544 +28118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.237055104 +28120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.640782242 +28121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.132630807 +28122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.146540838 +28124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.38620705 +28123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.67569433 +28125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.444107444 +28126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.513230846 +28127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.677780637 +28128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.672244052 +28129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.013482247 +28130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.464053574 +28132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.582432531 +28131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.496988184 +28133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.833630151 +28134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.993889239 +28135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.466567095 +28136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.969714451 +28138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 4.34905673 +28139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.17215408 +28140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 4.299180655 +28137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.21904624 +28142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.655452122 +28141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -2.040546323 +28144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.972546761 +28145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 6.817549663 +28146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.453893873 +28148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.334676864 +28147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.481995941 +28143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.737126646 +28149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.196944247 +28150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.63858432 +28151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.192693626 +28155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.511715413 +28153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -2.2144178 +28154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.700208129 +28156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.988527478 +28157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.727176382 +28152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.180367056 +28158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.538524159 +28159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.367367073 +28161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.439207479 +28160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.839751501 +28162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -2.726923703 +28163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.234317276 +28164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.822445832 +28165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.56119886 +28166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.242464444 +28167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.697481909 +28169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.926647306 +28170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.958446558 +28168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 4.434610922 +28171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.537277828 +28172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.232394507 +28173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.342144342 +28175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.438803798 +28174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.384632431 +28176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.686775444 +28179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.481963071 +28177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.452446056 +28180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.698886659 +28178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.972677596 +28181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.541447119 +28182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.504891519 +28184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.114228025 +28183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.579071894 +28187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.554040638 +28186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.310487162 +28185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.658778276 +28188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.18330953 +28189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.689588295 +28190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.839095807 +28191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.837066084 +28193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -2.688454507 +28194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.837576192 +28196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.704768526 +28197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.130433509 +28195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.436443816 +28192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.359720013 +28198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.577286636 +28199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.015261003 +28201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.524098509 +28203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -2.530039325 +28204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.035149874 +28200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.17810956 +28202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.60052949 +28205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.449239353 +28206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.514127048 +28207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.230388268 +28208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.223617643 +28209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.469489572 +28211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 4.068477219 +28210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.580473326 +28212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.281940516 +28213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.306462092 +28214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.584457591 +28216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.523266054 +28215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.540328344 +28217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.177882583 +28219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.850447017 +28218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.414903677 +28220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.218176605 +28221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.950327769 +28223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.836693874 +28226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -2.054266907 +28225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.149249088 +28224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -2.283797441 +28227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.233867352 +28222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.345814773 +28228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.463106879 +28229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.136144861 +28230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.31102566 +28231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.333780964 +28234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.277224758 +28232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.865461999 +28233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.155042527 +28235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -3.672785666 +28236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.595858555 +28238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -2.55934882 +28237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.230803493 +28239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -2.130395929 +28242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.605222673 +28241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.468560307 +28240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.721320365 +28243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.088414501 +28244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.421353951 +28245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.559266455 +28249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.989829617 +28248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.563219755 +28246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.248310425 +28250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 4.16917693 +28251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.080794537 +28247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.856621197 +28252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.43843015 +28253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.513249287 +28254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.397134349 +28255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.366429575 +28257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.908599046 +28256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.904147438 +28258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.924479905 +28259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.910613279 +28260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.426427989 +28261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.825511208 +28262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.019147994 +28263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.632791472 +28264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.318578157 +28266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.536395194 +28267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.198589557 +28268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.101618734 +28269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.857055194 +28265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.154567408 +28271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.285526504 +28270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.023019467 +28272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.1093358 +28273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.353000897 +28274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.838888741 +28275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.33438033 +28276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.16398659 +28278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.326844774 +28279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.894396506 +28277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.343759423 +28280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.224749885 +28282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.991753552 +28281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.6027527 +28284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.356828569 +28283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.796793388 +28285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.02359102 +28286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.706579857 +28287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.015576081 +28288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.953177563 +28290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.929623472 +28291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.770372278 +28289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.076334621 +28292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.203227854 +28293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.903721902 +28294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.01492059 +28295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.806442214 +28297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.147263793 +28296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.983364709 +28299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.690524042 +28298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.572566092 +28300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 5.452809907 +28301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.350532625 +28302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.846863724 +28305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.677338086 +28304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.427633034 +28303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.071784176 +28307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.555603903 +28308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.700737441 +28306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.54320014 +28309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.886264888 +28310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.457128518 +28311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.299744594 +28312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.659803905 +28313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.643446083 +28316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.60063826 +28315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.020647485 +28314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.196884343 +28317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.522876198 +28318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.594266348 +28319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.128703242 +28322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.00416108 +28320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.082027643 +28323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 4.30042905 +28324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.292724138 +28325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.653729399 +28321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.914547263 +28326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.545835692 +28327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.454681212 +28328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.486557462 +28331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.199936585 +28332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.815171488 +28333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.519859251 +28330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.364087053 +28329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.482014252 +28334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -4.02727833 +28335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.094392704 +28336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.33936597 +28338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.499837053 +28337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.369494901 +28340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.834631866 +28341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.56856632 +28339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.340987393 +28342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.265152446 +28343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.710561328 +28346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.325566273 +28345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.794586609 +28344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.826659147 +28348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.553623637 +28347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.084308357 +28349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.864318788 +28350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.250899203 +28351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.074024759 +28352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.683674862 +28356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.12299247 +28355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -2.11868433 +28353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.556198074 +28354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.097860852 +28358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.070465323 +28357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.377785977 +28359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.026851287 +28360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.093825717 +28363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 4.804829958 +28361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.10631544 +28362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.089995149 +28364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.05905313 +28365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.106543225 +28367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.355543629 +28366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.364039133 +28368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.031633538 +28369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.057380913 +28370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.462866427 +28372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.459465907 +28371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.339414613 +28373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.274953999 +28374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.963745098 +28376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.523611118 +28375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.378054033 +28378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.298413603 +28379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.160311324 +28377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.300168259 +28380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.581442969 +28381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -2.924483435 +28383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.665795436 +28382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.565508043 +28386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.876284346 +28387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -2.155107115 +28388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.573255566 +28384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.007673602 +28385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -2.223925017 +28389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.229645197 +28391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -3.347846791 +28390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.887155738 +28393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.982633265 +28392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.480617133 +28394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 4.113911298 +28396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.322729288 +28395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.893017271 +28397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.520753123 +28400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.085626899 +28401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.352729522 +28402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.767748781 +28399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.947581381 +28398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.917250919 +28403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.81003751 +28405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.66709829 +28406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.077594953 +28407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.03319089 +28409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.932699806 +28408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.69489126 +28410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.696267341 +28404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.681586658 +28411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.377145191 +28412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.745604126 +28413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.787873197 +28416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.954410561 +28414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -2.12594589 +28415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.517455019 +28418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.584850573 +28419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.224936761 +28417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.851875302 +28421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.134873931 +28420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.349895139 +28423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.379586124 +28424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.052474682 +28422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.164807096 +28427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.729985334 +28425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.093099201 +28426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.657536107 +28428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.194610683 +28430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.611974756 +28429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -3.450854101 +28431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.954765181 +28432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.603117675 +28433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 4.310653686 +28435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.254681108 +28436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.542130764 +28434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.101938787 +28438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.233723728 +28437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.182649461 +28439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.805153774 +28440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.567501954 +28441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.335513952 +28442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.0997131 +28445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.208021769 +28446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.224600451 +28447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -2.117271588 +28444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.849669415 +28448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.144458061 +28443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.940928214 +28449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.361304428 +28450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.007156393 +28451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.270994027 +28452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.588953937 +28453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.133739432 +28455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.303386795 +28456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.772937221 +28454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.081463527 +28459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.325859123 +28460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.489075505 +28458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.966058447 +28457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.265218003 +28461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.923111238 +28462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.930966189 +28463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.243861727 +28465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.223650739 +28466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.366007972 +28464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.187224334 +28467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.799753764 +28468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.937598671 +28469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.68370743 +28470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.114262119 +28471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.616364603 +28472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.154712932 +28473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -3.19881273 +28474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.139371136 +28475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.885459679 +28476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.410322261 +28477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.08053312 +28479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.500510329 +28478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.144512733 +28480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.286763781 +28482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.671449292 +28481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.11116674 +28483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.726344329 +28484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.273687831 +28485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.074739923 +28488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.68122134 +28486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.312805168 +28487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.430485185 +28490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.747637591 +28491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.462601265 +28492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.008004293 +28493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.802418606 +28494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.585304828 +28495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.053889337 +28489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.97417529 +28496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.714267808 +28497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.030438304 +28499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.32037359 +28498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 4.028278439 +28500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.73303834 +28503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.564600725 +28504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.992087437 +28502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.345870719 +28501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.185027104 +28505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.100861326 +28506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.192288425 +28507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.663962322 +28508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.532511064 +28510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.754390174 +28511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -2.606745757 +28512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.930980371 +28509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.205185967 +28513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.788497594 +28514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.231025187 +28515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.065685713 +28516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.639206106 +28517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.843441939 +28518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.668766611 +28521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.389143836 +28520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.706929781 +28523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.24463464 +28524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.704044147 +28522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.226675957 +28519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.085124292 +28527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.45754421 +28525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.517931685 +28526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.884416201 +28528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.364524439 +28529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.42734703 +28530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -2.003239726 +28532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.474458101 +28531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.991826639 +28533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.405885318 +28535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.862253377 +28534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.422027425 +28536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.372025964 +28537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.285955702 +28538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.210327382 +28539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.758334758 +28540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.30933689 +28541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.788228922 +28543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.475555414 +28542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.743615897 +28545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.083728425 +28547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.382343692 +28546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.672600057 +28548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.465936028 +28549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.446425298 +28544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.476055104 +28550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.525311657 +28551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.057189163 +28553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.133707436 +28552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -2.668972441 +28554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.072408869 +28555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.842938124 +28557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.434009438 +28558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.424820184 +28556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 4.118458483 +28559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.484449074 +28561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.889315303 +28562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.15638095 +28560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.806542906 +28563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.660491781 +28565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.375205699 +28564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.610636569 +28566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.012391752 +28567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.102210754 +28568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.399886785 +28570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.513006883 +28569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.419015498 +28571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.405661081 +28573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.457632214 +28575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.172175608 +28576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.293514018 +28572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.578974656 +28574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.73866774 +28577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.794173313 +28578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.692117205 +28579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.365623916 +28582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.453608608 +28583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.843134379 +28584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.135049701 +28581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.386517237 +28580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.508764485 +28586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.188073631 +28585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.403921982 +28587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.588641159 +28591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.251147058 +28590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.848966804 +28589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.140045634 +28588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 4.807400905 +28593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.305825245 +28592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.637499858 +28594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.853898674 +28595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.876192739 +28599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.96044304 +28598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.555356325 +28596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.029933225 +28597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.526797144 +28600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.100582379 +28601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.179036224 +28602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.384419505 +28603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.151051735 +28605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.649184931 +28606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.170182953 +28607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.694776142 +28604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 4.537518399 +28609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -3.233249158 +28610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.637671643 +28608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 6.37093734 +28611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.1706009 +28612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.388930816 +28613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.936195015 +28615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.931500063 +28614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.5584338 +28616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.047960973 +28617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.032178271 +28619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.343428218 +28620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.538714735 +28618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.513641771 +28621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.903430381 +28622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.074506832 +28623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.85448334 +28624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.124179628 +28625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.261609362 +28626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.242525614 +28627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.217552809 +28629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.355968062 +28630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.511710458 +28628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.680141138 +28631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.110308003 +28632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.930872206 +28633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.392594342 +28634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.334142937 +28635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.240197889 +28636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.108162929 +28637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.514760982 +28639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.421170643 +28638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.556683294 +28640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.078960538 +28642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.296922039 +28643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.064116789 +28644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.764910089 +28641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -2.801137928 +28645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.510086935 +28646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.300500402 +28647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.569418197 +28649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.868192588 +28648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.532333267 +28650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.076678356 +28652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.022047901 +28653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -2.742547514 +28651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.365233729 +28654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.933647518 +28658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.000346336 +28657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.8566857 +28659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.05142688 +28656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.153935342 +28660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.498959037 +28661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.029142021 +28655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.186829568 +28662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.578803269 +28666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.118260433 +28663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.903353758 +28665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.063809122 +28664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.381684208 +28668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.852224509 +28667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.640406488 +28670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.400311232 +28669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.866891247 +28673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.132559663 +28671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.795055789 +28674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.638463908 +28676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.181050366 +28672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.825873136 +28675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.275051506 +28677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.585075234 +28680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.236063512 +28678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.404836121 +28681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.009227732 +28679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.335173439 +28682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.417842847 +28683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.293245061 +28684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.487789903 +28685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.361838323 +28687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.556362305 +28688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.516954679 +28686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 5.276992361 +28689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.364917076 +28690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.327180977 +28692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -2.495827795 +28691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.557737713 +28693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.074791657 +28695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.839118426 +28696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.811656601 +28698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.588970129 +28697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.513415985 +28699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.963488675 +28700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.246775721 +28694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.472435363 +28701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.299809016 +28703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.592552779 +28702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.451048804 +28705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.247667343 +28704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.255755878 +28706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.077059016 +28707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.292851348 +28708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.32171786 +28709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -2.235815313 +28711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.719719216 +28710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.748353981 +28714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 4.863110762 +28713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.749193245 +28712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.717657789 +28715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.57505909 +28717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.60727632 +28719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.016685755 +28718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.87811217 +28721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.655602846 +28722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.632260506 +28720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.990971859 +28723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.302321498 +28716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.574425334 +28724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.484733639 +28726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.623123458 +28727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.477081973 +28728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.252809266 +28729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.485685771 +28725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.11703391 +28732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.46501901 +28731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.361971779 +28730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.722845119 +28734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.372189538 +28733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.018027686 +28735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.528912741 +28736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.021764275 +28737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.090525314 +28738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.702005832 +28740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.57021457 +28742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -2.079304204 +28741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.308764092 +28743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.332963279 +28739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.563852264 +28744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.40902789 +28745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.163516177 +28746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.514009215 +28747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.897603772 +28748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.142992176 +28749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.111545764 +28751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.818576045 +28752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.901191679 +28750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.854454892 +28753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.71744482 +28754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.863950804 +28755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.177292592 +28757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.233454321 +28756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.518953564 +28759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.79874525 +28760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.031860326 +28758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.048183425 +28761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -2.763406881 +28764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.247776456 +28762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.637097511 +28763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.715544809 +28765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.221866502 +28766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.733567638 +28767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.233599516 +28768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.979924308 +28769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.239085895 +28770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.497587908 +28771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.202544464 +28772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.894509662 +28774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.706200154 +28773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.236895582 +28775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.069865089 +28776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.194901489 +28777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.453687805 +28780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.30450815 +28779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.643316849 +28782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.999088601 +28781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.5174826 +28778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.431692561 +28783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.592414191 +28784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.159445914 +28785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.409882663 +28786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.848214545 +28787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 4.34709017 +28789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.416471594 +28788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.503764262 +28790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.761868105 +28791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.457160526 +28792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.884602013 +28794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.425333345 +28795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.290969422 +28797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.713752823 +28796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.976378516 +28798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.598326084 +28793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.582472513 +28799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.421796166 +28800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.956658903 +28801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.475890003 +28802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.546703325 +28803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.623254467 +28804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.346883684 +28805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.82687375 +28806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.520311627 +28807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.442751707 +28808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.798854107 +28809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.314989471 +28810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.224708579 +28811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.400137809 +28812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -2.47441033 +28813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.265404316 +28815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.856795396 +28814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.321401956 +28816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.285042533 +28817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.690129178 +28818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.975427081 +28819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.697041608 +28820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.887293807 +28821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.831518234 +28822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 4.991379614 +28824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -2.030546404 +28823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.253103777 +28825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.213490296 +28826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.248419682 +28827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.880667494 +28828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.75387586 +28829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.870010078 +28830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.609719812 +28831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.738861838 +28832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -2.186891036 +28833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.703118809 +28835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.679168114 +28834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.194041919 +28837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.867926271 +28836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.644999962 +28838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.447512717 +28839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.623825452 +28841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.277380146 +28842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.571816407 +28843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.041116293 +28845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.94602632 +28844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.986026141 +28840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.775202518 +28846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.600976299 +28847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.489545309 +28848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.876610233 +28849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.878270183 +28850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.728487594 +28851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.789581042 +28853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.147385274 +28852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.082046945 +28854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.658660435 +28855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.627426964 +28856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.166341092 +28857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.201860497 +28858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.395569304 +28859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.422571328 +28861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.228356623 +28860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.581659043 +28862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.0836412 +28863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.502503322 +28865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.061661877 +28864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.371899217 +28866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -3.300596518 +28867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.213781104 +28868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.049535947 +28869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.016923004 +28870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 4.349537371 +28871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.523427229 +28873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.484769977 +28872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.588287356 +28874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.543885991 +28875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.390710399 +28876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 4.048367662 +28878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 4.590596834 +28877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.214647729 +28880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.020993087 +28881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.782555748 +28879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.356803639 +28882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.04951165 +28883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.124456402 +28884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.616322344 +28885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.58899484 +28887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.744053674 +28886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.823438374 +28889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.66524925 +28888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.167366134 +28890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.422548835 +28891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.735035465 +28892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.139692396 +28893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.513375319 +28894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.550804252 +28896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.904994908 +28897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.633504392 +28898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.579003859 +28900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.849367103 +28899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.76062091 +28895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.547343707 +28904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.19300563 +28902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.817586466 +28905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.371764717 +28903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.884084396 +28901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.158166597 +28906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.125986467 +28907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.289178698 +28908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.877148527 +28910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.472569797 +28909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.225647073 +28911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.26757385 +28912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.387127618 +28913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.503754576 +28914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.769478134 +28915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.660405038 +28916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.151794425 +28917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.140198759 +28918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.354239716 +28919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.646363086 +28920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.589447383 +28921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.510684352 +28922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.970525424 +28923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -2.168318666 +28925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.461546395 +28926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.781051526 +28924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.036879733 +28927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.454085922 +28929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.973405692 +28930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.209731468 +28928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.045380045 +28931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.697764018 +28933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.175740564 +28932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.342659325 +28935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.122257533 +28934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.127204305 +28936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.616708589 +28937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.040977949 +28938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.323214958 +28939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.07433649 +28940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.309089641 +28941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.319129598 +28942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -3.292739352 +28944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.113771 +28947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.863629394 +28946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.898107237 +28945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.404636633 +28943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.955884744 +28948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.720544601 +28949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.173243594 +28950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.456522993 +28951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.644383681 +28953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -2.648282519 +28952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.460557139 +28954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.34339884 +28955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.728774637 +28956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.841898563 +28957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.549403304 +28958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.654818142 +28959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.060873062 +28961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.030589224 +28962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.542685957 +28960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.170955894 +28963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.248426625 +28966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.408064897 +28964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.856291566 +28965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.996889048 +28967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.138500463 +28968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.016595122 +28970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.32554956 +28969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.213115057 +28973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.22402604 +28974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.14803825 +28972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.842321432 +28971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.126824084 +28975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.859119531 +28976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.031857008 +28977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.565227675 +28978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.669100323 +28979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.774797349 +28981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.245099819 +28982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.849079312 +28980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.479677121 +28984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.349833738 +28983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.426387086 +28985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.659819443 +28986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.881679651 +28987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.238651053 +28988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.419618534 +28989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.579953949 +28990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.366643418 +28992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 1.722797812 +28993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.796892357 +28991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.247504594 +28994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.264958085 +28996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.540172441 +28995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.163331153 +28999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -1.439849064 +29001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.034531211 +29002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.20948628 +28998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.151325805 +28997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 3.255227343 +29000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.152738119 +29003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.606009129 +29004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.624295941 +29005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.660902124 +29006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.441012903 +29008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.439049743 +29010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.816352466 +29009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.056217109 +29007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.672666241 +29011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.294100019 +29012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.376487242 +29013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.010923563 +29016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.352426329 +29015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.627495544 +29014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.426024606 +29017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.187167029 +29018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.765929818 +29019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.487127151 +29020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.287402794 +29021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -5.338248674 +29022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.532317689 +29023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.221372471 +29025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.20728274 +29024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.629473386 +29026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.915510394 +29028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.135085084 +29027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.220641784 +29029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.853775682 +29030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.20014879 +29031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.181615423 +29035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.026371492 +29033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.472748808 +29034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 3.093887773 +29032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.355287792 +29036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.367990662 +29037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.846634686 +29038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.963204799 +29039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.739437133 +29040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.158981977 +29042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.228077713 +29041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.78095216 +29043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.917415308 +29044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.662811591 +29045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.064389213 +29046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.683143969 +29047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.158319468 +29048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.275191189 +29052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.831052962 +29050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.509513383 +29051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.428845448 +29049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.450024511 +29053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.419148433 +29054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.818672168 +29056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.727990732 +29055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.62205507 +29057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.605891431 +29058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.212393104 +29059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.7465881 +29060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.048017589 +29061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.301041039 +29062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.595416351 +29064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.333651402 +29063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.730591639 +29066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.138051276 +29067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -3.56833653 +29065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.338218007 +29068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.862396544 +29069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.000341954 +29070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.980102503 +29071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.860349299 +29072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.231708461 +29073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.126470773 +29075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.778158918 +29076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.497300391 +29074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.954083142 +29078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.140222848 +29079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.911793866 +29077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.224188064 +29081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.710564998 +29080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.645310759 +29082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.538812865 +29083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.611475437 +29084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.165470989 +29086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.281982106 +29085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.278427756 +29088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.792675128 +29089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.620477481 +29087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.701970577 +29090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.60444868 +29091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.679795332 +29092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.347746346 +29093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.466142749 +29095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.510484488 +29094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.370086989 +29096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.767300172 +29098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.788889815 +29097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.095304949 +29100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.242478622 +29099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.22088473 +29101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.147695431 +29104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.868326401 +29103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.114885963 +29102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.258721547 +29105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.660222576 +29106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.750699447 +29108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.310331753 +29107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.110714833 +29109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.744238185 +29110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.507915741 +29111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.272980724 +29112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.049577131 +29113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.347697873 +29114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.032553639 +29115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.152630216 +29116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.852961381 +29117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.217576983 +29119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.321804053 +29120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.315447166 +29121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.013574988 +29118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.836054249 +29124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.641074178 +29125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.405806734 +29123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.059907365 +29126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.518450608 +29127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.934776373 +29122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.25264657 +29128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.577231978 +29129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.313948277 +29132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.598312216 +29131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.545347791 +29133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.619092673 +29130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.033338359 +29134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.466361854 +29135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.53728308 +29137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.963043764 +29136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.518405521 +29138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.667953469 +29139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.374407598 +29141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.007204134 +29142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.484229619 +29140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.061819152 +29145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.791158636 +29143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.224225439 +29144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.300252347 +29146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.265098484 +29148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.825668 +29150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.502324764 +29147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.315187702 +29149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.243807897 +29151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.630153186 +29153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.627908766 +29152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.503085148 +29154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.077059151 +29155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.841182832 +29156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.454309818 +29158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.318393255 +29159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.82642683 +29157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.024134249 +29160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.520799333 +29161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.182401294 +29162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.741769349 +29163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.027369611 +29166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.237965447 +29165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.144066721 +29167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.052177343 +29168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.240268333 +29164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.281880448 +29169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -3.175132444 +29170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.639756193 +29171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 3.587379972 +29173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.339601044 +29175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.276374955 +29174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.295439534 +29176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.07840225 +29172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.357349914 +29177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.316088421 +29178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.317865471 +29179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.497605791 +29180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.105770246 +29181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.291979224 +29182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.992528782 +29184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.407241898 +29183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.046411955 +29186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -3.589620324 +29185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.275119483 +29187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.442573157 +29190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.2493646 +29189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.079048105 +29191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.38920394 +29188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.73490618 +29192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.55916487 +29193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.933118646 +29195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.0633159 +29194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.606059378 +29197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.391138236 +29196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.113615949 +29198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.183035982 +29199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.231477964 +29200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.109505109 +29202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -4.43E-04 +29201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.121034099 +29205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.453402305 +29203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.54451351 +29204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.341320792 +29206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.775438792 +29208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.334952311 +29207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.421988583 +29213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.103476832 +29209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.149089308 +29210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.543000054 +29214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.177858333 +29215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.000311081 +29211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.016460601 +29216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.438975578 +29212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.280768426 +29217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.633765587 +29218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.488710022 +29221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.078082073 +29219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.564270314 +29222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.977282745 +29220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.707891451 +29223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.995009822 +29225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.284061333 +29226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.191267159 +29227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.584648239 +29228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.847261667 +29230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.637807645 +29229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.466594203 +29231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.66683031 +29224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -3.605383073 +29232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.09403941 +29233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.541497311 +29234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.498117933 +29235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.979739844 +29236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.354422705 +29237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.080074355 +29238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.698997746 +29239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.493365758 +29240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.569749533 +29241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.733139636 +29242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.157973999 +29244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.358716077 +29246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.304731091 +29245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.854519883 +29247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.255571535 +29243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.577392818 +29249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.486858237 +29250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 3.326700884 +29248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -4.13908327 +29251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.087131103 +29252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.867954707 +29254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.709405357 +29255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.542884236 +29256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.595013176 +29258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.671425331 +29257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.094801514 +29253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.492397315 +29260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.652331983 +29259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.107330229 +29261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.908533028 +29263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.306462582 +29264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.477401518 +29262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.755145788 +29265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.532331515 +29266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.486258826 +29268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.616062382 +29267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.873045952 +29269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.199675689 +29270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.398869372 +29271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.139238231 +29273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.438137611 +29272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.852558188 +29275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.865634497 +29276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.602826829 +29277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.284095731 +29274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.629419975 +29278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.016582822 +29279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.62137262 +29280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.964911328 +29281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.277275678 +29282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.602150693 +29283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.030105849 +29285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.624669832 +29286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.041363656 +29284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.139654638 +29287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.064587269 +29288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.442311389 +29290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.289293581 +29291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.257336362 +29292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.922694599 +29289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.044237886 +29294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.233766986 +29293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.672764667 +29295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.060137598 +29296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.523373902 +29297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.272915855 +29298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.82794492 +29299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.006118653 +29300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.238278477 +29301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.221826689 +29302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.769864198 +29303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.582651699 +29304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -3.167956292 +29305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.312829069 +29306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.267088917 +29307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.157975794 +29309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.877376405 +29310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.025580736 +29311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.641213713 +29308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.47738042 +29312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 3.173110453 +29313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.93130531 +29314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.605493779 +29315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.293538494 +29316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.722108116 +29318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.336531041 +29317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.740624265 +29320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.377459046 +29319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.481868667 +29321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.232454922 +29322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.529841042 +29323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 3.775357759 +29325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.110519057 +29326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.737265387 +29324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.984650906 +29327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.440804968 +29328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.038152802 +29329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.886129104 +29330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.865593203 +29331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.582284803 +29332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.441173898 +29333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.417710395 +29334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.496353013 +29335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.542675818 +29336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 4.831400005 +29337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.158173732 +29338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.210350909 +29340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.337707132 +29341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.372849693 +29343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.664422454 +29342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.760849322 +29339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.289598717 +29344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.808300044 +29345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.785646748 +29346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.491536697 +29348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.454505425 +29347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.322335478 +29349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.156593047 +29350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.794629113 +29351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.294214956 +29352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.543913885 +29353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.421227287 +29354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.33220283 +29355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.164101776 +29356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.153710248 +29358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.900469094 +29357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.209677438 +29359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.552715867 +29361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 3.006356519 +29362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.720540723 +29363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.617762712 +29365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.379426341 +29364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.03909477 +29360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.699207454 +29366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.37558066 +29367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.794070885 +29368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.029374209 +29370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.654338977 +29369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.388412841 +29371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.255365303 +29374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.134091379 +29372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.698681462 +29375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.326144099 +29373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.179385421 +29376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.724055065 +29377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.63385489 +29378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.296836383 +29379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.097485453 +29380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.148953933 +29381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.98658233 +29382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.429538834 +29384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.14902227 +29383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.493821586 +29385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -3.001041977 +29388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.251808016 +29387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.350067445 +29386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.175117126 +29390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 3.031952185 +29389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.491720163 +29391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.049917125 +29392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.390974341 +29393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.089023601 +29394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.843645257 +29396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.136795051 +29397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 3.678836399 +29395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.518944677 +29398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.552321967 +29399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.131523263 +29401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.326622484 +29403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.87844442 +29402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.152898567 +29400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.619981518 +29404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.238172146 +29405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.715048681 +29406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.517022072 +29407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.078187575 +29408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.514746739 +29410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.10492308 +29413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.707115347 +29414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.249917105 +29409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.386088784 +29411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.99780851 +29412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.54778176 +29415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.970357701 +29416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.6352414 +29417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.968966884 +29419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.068970957 +29422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.083752346 +29420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.140431616 +29418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.368950378 +29421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.642666604 +29423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.158253694 +29424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.240575682 +29425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.973328101 +29427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.846683697 +29429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.108349559 +29426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.639077729 +29428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.623134007 +29430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.213156771 +29432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.359925813 +29431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.099263174 +29433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -3.048314958 +29434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.152746678 +29436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.744058811 +29437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.204895936 +29435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.733671876 +29439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.551969541 +29440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.893983318 +29438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.062272974 +29441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.06245598 +29442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.145856219 +29444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.585128681 +29445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.809735244 +29447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.269916055 +29443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.581729178 +29446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.713194585 +29448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.192059838 +29449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.650331928 +29450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.766752554 +29451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.373950419 +29452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.573605372 +29453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.578453065 +29455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.072107351 +29454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.047105825 +29456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.680994725 +29457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.927743406 +29458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.227453329 +29459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.091465224 +29461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -3.330923944 +29463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 3.106658523 +29462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.8889346 +29460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.150537386 +29464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.630808767 +29465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.990174635 +29466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 3.306652313 +29467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.217717971 +29468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.100257913 +29470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.236525101 +29469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.811161738 +29471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.89509534 +29472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.566607956 +29473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.634035138 +29474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.962367563 +29475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.848764288 +29477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.549774934 +29476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.824441428 +29478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.60987546 +29479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.091584899 +29480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.541068069 +29482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.242106333 +29481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.634411579 +29483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.059844846 +29484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.693195673 +29485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.637341241 +29487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.059266719 +29486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.289327815 +29488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.233850336 +29489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.824488268 +29491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.569684408 +29490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.557406955 +29492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.328532794 +29493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.880067104 +29495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.966171674 +29494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -3.160345799 +29497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.626028129 +29496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.034631045 +29498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.623807382 +29500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.924227898 +29499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.86589945 +29501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.740375156 +29502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.907290726 +29503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.976348005 +29504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.514612816 +29505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.625632319 +29507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.618972024 +29509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.986675694 +29506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.098095942 +29508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.480343078 +29511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.239353958 +29510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -3.161906447 +29513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.119721491 +29512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.245865627 +29514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.295567752 +29515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.853812285 +29516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.83821435 +29519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.447323962 +29517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.211291176 +29518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.426344283 +29521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.170936007 +29520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.189351844 +29523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.708817348 +29522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.694763354 +29524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.3178169 +29525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.661948183 +29526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.232114558 +29527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.615523079 +29529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.463335407 +29530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.124848371 +29531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.753602036 +29528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.559803241 +29532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.402093998 +29533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.129610062 +29534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.82247753 +29535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.113766741 +29536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.857569996 +29537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.611954765 +29538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.534795977 +29539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.328411563 +29541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.007468578 +29540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.780246112 +29542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.591317021 +29543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.866779484 +29546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.791040946 +29544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.211467516 +29547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.992781453 +29545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.340908595 +29549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.039418914 +29548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.310398105 +29550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.083717776 +29551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.704446891 +29552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.034510074 +29555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.124013387 +29554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.115997235 +29553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.333012482 +29556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.45131091 +29557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.320434435 +29558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.232158381 +29559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.078920403 +29562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.115760204 +29563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.708394293 +29561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.106423806 +29560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.271723202 +29564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.012068313 +29567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.358239752 +29565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.387975316 +29568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.913718074 +29566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.025916688 +29569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.548897219 +29570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.763818817 +29571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.83769576 +29572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.868982776 +29574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.104500475 +29573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.027523447 +29575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.092101692 +29578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.151872756 +29576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.205107046 +29577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.718468126 +29579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.038159101 +29580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.682910693 +29581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.759802141 +29582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.450487243 +29583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.028308093 +29584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.661970283 +29586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.89951727 +29587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.198634283 +29585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.257889036 +29588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.666500074 +29590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.275824653 +29592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.266389268 +29589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 4.576761178 +29593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.108531781 +29594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.029153629 +29591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.049272875 +29595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.691717973 +29596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.370009519 +29599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.111279025 +29598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.631751796 +29600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.681272395 +29601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.616152653 +29602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.159409681 +29597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.069477181 +29604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.144856488 +29603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.516645499 +29606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.308396 +29608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.281186625 +29610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.041688125 +29607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.506435161 +29605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.017774075 +29611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.772473542 +29609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -3.378685977 +29613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.883860022 +29612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.43750794 +29615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.374075194 +29616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.613034654 +29617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.653514402 +29614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.808424015 +29619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.333877467 +29620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.208622381 +29618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.329250853 +29623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.581980393 +29622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.068623407 +29624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.139743741 +29625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.423750699 +29621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.613911257 +29627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.254881811 +29628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.525184592 +29629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.380256626 +29626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.528577538 +29630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.514449539 +29632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.185464252 +29631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.747204782 +29633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.978085476 +29634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.205796898 +29636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -3.527134635 +29635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.181599712 +29637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.67453157 +29640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.081518036 +29639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.175742154 +29638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.346481034 +29642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.958724795 +29641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.007440197 +29643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.7725976 +29645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.287260427 +29644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 3.096614963 +29647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.71219288 +29646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.222513658 +29648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -3.389210232 +29649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.20511121 +29651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.274230133 +29650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.522091091 +29653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.759065054 +29655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.549371482 +29652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.901195314 +29654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.696590245 +29656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.717268805 +29658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.672057812 +29657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.42241958 +29659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.125628684 +29662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.419379719 +29663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.339102924 +29660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.977666543 +29664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.115449903 +29661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.503441681 +29665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.967742939 +29666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.281317345 +29667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.836439438 +29668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.729086858 +29669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.625481613 +29670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.241801831 +29671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.465016252 +29672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.324504627 +29673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.236997296 +29674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.108176126 +29676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.154989362 +29678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.747249234 +29677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.637381795 +29675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.256323252 +29679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.373711231 +29680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.818414796 +29682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.410195449 +29681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.469735104 +29684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.662857512 +29685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.001881169 +29683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.159284897 +29686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.060959108 +29687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.498438096 +29688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.178197847 +29689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.837283914 +29690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.367145697 +29691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 3.873554332 +29692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.3814587 +29693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -3.267288472 +29696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.319788618 +29697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -3.521908704 +29698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.543124109 +29695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.18471855 +29699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.427381663 +29694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.865486938 +29700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.151948863 +29701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.117845078 +29703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 3.877866574 +29702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.011008313 +29704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.232454668 +29705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.486979549 +29706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.015483023 +29707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.084130513 +29709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.795633013 +29710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.861905604 +29711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.75753597 +29708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.5824219 +29712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.105087632 +29714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.28491262 +29713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.574948927 +29715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.798410908 +29716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.121311849 +29717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.091610224 +29718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.345183921 +29719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.235444097 +29720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.27217338 +29721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.614732829 +29722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.765231547 +29723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.060875268 +29724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.229122149 +29725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.265168198 +29728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.498258231 +29726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.471128051 +29730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.518960475 +29729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.838920778 +29727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.940759362 +29732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.284610964 +29731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.371409878 +29733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.664249048 +29734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.860665787 +29735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.568756428 +29737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.658539823 +29736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.209612762 +29740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.06217508 +29738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.277803674 +29739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.046560765 +29741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.887056602 +29742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.152549293 +29743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -4.633291626 +29744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.628699036 +29745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.262079963 +29746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.101237476 +29747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.335183133 +29748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.727610877 +29750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.417996422 +29749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.657924542 +29751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.447113369 +29752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.188288887 +29753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.977367169 +29754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.454518448 +29756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.340944353 +29757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.710470767 +29755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.759242659 +29760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.596717239 +29759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.206359419 +29758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.4712262 +29762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.593845241 +29761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.532129545 +29764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.074941389 +29763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.223545941 +29766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.250156164 +29767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.347063674 +29768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.097079033 +29765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.500992565 +29769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.607129203 +29770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.937441263 +29772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.123644286 +29771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.772123253 +29773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.185736737 +29774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.78859034 +29775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.957073183 +29776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.367370112 +29777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.550411247 +29779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.736561246 +29780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.024511545 +29781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.685423902 +29778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 3.697462774 +29783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.065854961 +29782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.007886546 +29785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.028937664 +29784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.053434331 +29787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.1956951 +29786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -3.182643772 +29789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.511629167 +29788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.776572362 +29790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.78714709 +29791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.150418831 +29792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.132867979 +29794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.32365825 +29793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.140720915 +29795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.480545457 +29797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.152977614 +29798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.226757012 +29799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.764519164 +29796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.232509312 +29800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 3.011486152 +29802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.505371995 +29803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.783091639 +29805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.2962881 +29807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.348653702 +29801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -3.293762756 +29804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.512134333 +29808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.868881341 +29806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.12983851 +29809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.393390654 +29811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.230040173 +29810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.579554046 +29812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.393463217 +29813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.398533158 +29814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.242059361 +29815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.035437428 +29816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.467683962 +29818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.044045834 +29819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.868237203 +29817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.14349772 +29820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.748135453 +29821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.238546825 +29823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.687316521 +29822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.635714992 +29825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.998647686 +29827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.519485277 +29824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.307410493 +29828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.691027649 +29826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.396090205 +29829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.257953843 +29830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.916205814 +29831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 3.143867265 +29833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 3.650746484 +29834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.748411696 +29832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.791842784 +29835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.557062111 +29837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.027845518 +29836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.091716884 +29838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.065130411 +29839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.234246684 +29840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.145090538 +29841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.584079596 +29842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.634441964 +29843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.762664474 +29844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.216038815 +29847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.968018521 +29846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.618335759 +29845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -3.137635828 +29848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.022787019 +29849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.941573323 +29850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.150901427 +29852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.28635871 +29851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.491521924 +29854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.580098345 +29853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.732944208 +29855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.888749801 +29857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.572083467 +29856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.341280376 +29858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.98533261 +29861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.261007589 +29860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.517399617 +29862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.273743654 +29859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.972136613 +29863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.546223392 +29864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.250399983 +29865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.999585052 +29866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.627484236 +29867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.561020041 +29869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.317460935 +29868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.654903572 +29870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.697185827 +29872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.572810464 +29874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.847157875 +29873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.278461897 +29876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.032050644 +29875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.02364041 +29878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.510684406 +29877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.281006744 +29871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.698719634 +29879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.528739882 +29880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.393215989 +29881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.586024151 +29882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.345045044 +29883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.21755891 +29884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.735228653 +29886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.018076742 +29885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.486227064 +29887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.669393446 +29889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.005863768 +29888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.922646163 +29890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.147335228 +29892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.90315085 +29891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.862226433 +29894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.307309979 +29896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.057616926 +29897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.174400212 +29895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.708778196 +29898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.361582658 +29893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.463047862 +29900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.754713111 +29899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.197989037 +29901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.687290838 +29903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.100356481 +29904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.693131528 +29905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.611770254 +29906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.07802577 +29902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.280013397 +29907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.139360041 +29908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.818070456 +29909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.067140535 +29910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.754468378 +29911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.655595171 +29912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.963509954 +29914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.478839307 +29915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.426856622 +29916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.748873941 +29917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.758930428 +29918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.115787616 +29913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.583194921 +29919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -3.205982075 +29920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.692484756 +29921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.175504721 +29922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.134201513 +29923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.205658792 +29924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 3.132439438 +29925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.833329855 +29926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -4.284165655 +29927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.072549671 +29928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.760292713 +29930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.46281144 +29929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.352629716 +29931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.979091876 +29932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.361398365 +29933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.227902118 +29935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.659610177 +29934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.098489095 +29936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.268140697 +29937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.499845441 +29938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.641448901 +29939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.225163123 +29941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.918037394 +29940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.743985349 +29942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.410537648 +29944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.502146386 +29945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.051472857 +29943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.118916803 +29947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.277506074 +29948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.178984235 +29946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.478019189 +29949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.663004029 +29952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.24091029 +29950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.502734636 +29951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 5.386644171 +29954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.238287486 +29956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.158242438 +29955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.020080044 +29953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.0607542 +29957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.44282595 +29958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.217913601 +29959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.002285347 +29960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.572990192 +29961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.962718555 +29962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.041373427 +29963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.26688082 +29964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.360291928 +29965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -3.032877111 +29966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.38074531 +29967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.537037643 +29968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.171860935 +29969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.678211008 +29970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.860590879 +29971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.240339728 +29973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.297293407 +29974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.343364818 +29976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.512131982 +29975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.148473548 +29972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.547292574 +29977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.469939016 +29978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.501977839 +29979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.11691536 +29980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.443802316 +29981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.246175535 +29983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.736376164 +29982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.040184911 +29984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.394370642 +29985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.01877916 +29987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 1.277370061 +29986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.201034666 +29988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.10268692 +29991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.601238448 +29989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.387179595 +29990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.008443994 +29993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.290681499 +29992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.572266753 +29994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.688450682 +29995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.48131333 +29996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.992085201 +29999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -1.214015471 +29998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.179624075 +29997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.130857504 +30000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.114526855 +30003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.242703001 +30001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 2.514445987 +30002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.722445699 +30004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.373945723 +30006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.770621021 +30005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.407479413 +30007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.012319251 +30008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.333346575 +30011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.717045152 +30009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.050766361 +30010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.849048983 +30012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.055779441 +30013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.490447712 +30014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.770092722 +30015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.831015939 +30016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.003319469 +30017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.31360878 +30018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.571037469 +30020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.200878018 +30021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.282671645 +30022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.575815753 +30023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.429502714 +30019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.099885449 +30024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 2.064643622 +30026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.270150237 +30027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.306291758 +30025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.722200278 +30028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.256526587 +30029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.256053759 +30030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.389727006 +30031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.53083478 +30032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.353466323 +30033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.742621368 +30035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.43808667 +30036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.056656449 +30034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.862824377 +30037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.301042559 +30038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.734845747 +30039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.424415278 +30040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.833691886 +30041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.002001893 +30042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.969477383 +30043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.935903639 +30044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.879159643 +30045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.188687409 +30046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.44403489 +30047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.905391153 +30048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.845643926 +30050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.361934558 +30049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 3.074933051 +30051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.32632884 +30052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.911934332 +30053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.34310825 +30054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.59514883 +30056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.058219352 +30057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.176539522 +30058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.073935355 +30059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.643334193 +30060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.196322327 +30061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.876187121 +30062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.80870391 +30055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 2.407893678 +30063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.083883146 +30067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.812952884 +30065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 3.473411202 +30064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.623443659 +30066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.232420891 +30068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.922122333 +30069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.158448338 +30070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.158305312 +30071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.207260714 +30073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.425855847 +30072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.831938986 +30074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.281436655 +30075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.209143778 +30076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.412357596 +30077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.675863518 +30078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.449300818 +30079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.929129018 +30082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.566403675 +30081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.610272438 +30080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.783028148 +30083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.319699764 +30084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.279173741 +30085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.345447027 +30087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.511973919 +30089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.161261962 +30088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.908757751 +30090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.450196704 +30091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.206393888 +30086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.453428124 +30092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.500073391 +30093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.593946786 +30094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.590704806 +30096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.756676031 +30097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.431664531 +30098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.82933419 +30095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.021331269 +30100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.398475291 +30099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.153467151 +30102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.493585117 +30101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.792352363 +30106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.458315478 +30103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.732479519 +30104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.656023085 +30105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.843882677 +30107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.958774694 +30108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.165733247 +30109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.511805612 +30110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.115297894 +30112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.804740863 +30111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.379433833 +30113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.077537011 +30114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.788706399 +30115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.430987083 +30117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.451820748 +30118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.060775801 +30116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.062882392 +30120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 2.057382893 +30121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.950992716 +30119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.184519613 +30122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 2.543337411 +30123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.161472026 +30124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.716309723 +30125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.499723659 +30127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.787625426 +30128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.875564912 +30129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.701335505 +30126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.456031694 +30130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.326635294 +30131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.758201986 +30133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.57374143 +30132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.405815115 +30134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.398228968 +30135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.699913815 +30136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.230451322 +30138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.936986098 +30137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 2.626189796 +30139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.326952492 +30140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.165510603 +30141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.136299775 +30142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.327719835 +30143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -3.557236777 +30144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.708254428 +30145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.146037637 +30146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.003518765 +30148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.808488328 +30147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.136835311 +30149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.476633705 +30151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.089800662 +30150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.531191045 +30152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.555260794 +30153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.974384305 +30154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.092116484 +30155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.905018525 +30156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.274495665 +30157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.544123413 +30158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.393369758 +30159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.04532545 +30160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 3.23155395 +30161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.411880103 +30163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.069851119 +30164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.589962966 +30165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.078970725 +30162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.737415402 +30167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.896466074 +30166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.381281213 +30168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 2.877237593 +30169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.008771752 +30171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.37330748 +30172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.424478874 +30173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.100754159 +30170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.33468851 +30175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.92555849 +30174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.297349563 +30177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.260908984 +30176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.519581865 +30179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.92817209 +30178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.116898667 +30181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.648439058 +30182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.213850438 +30185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.168541049 +30183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.80674712 +30180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.489524149 +30187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.355783814 +30184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.2076491 +30186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.427583329 +30188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.620879349 +30189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.739834616 +30190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -3.171472645 +30192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -3.591579938 +30191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.378642599 +30193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.038019764 +30194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.431354937 +30195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.938080059 +30196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.190779644 +30198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.142816527 +30200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.005616861 +30197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.352571759 +30201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.130465185 +30203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.201162886 +30204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.844439426 +30202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.585217369 +30199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.069817348 +30205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.982727043 +30206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.021375119 +30207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.086687537 +30208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.527278888 +30210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.967367537 +30209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.433230355 +30211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.960355021 +30213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.451128231 +30215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 2.017228273 +30216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.695941295 +30212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.349631789 +30217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.011567317 +30218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 3.045125454 +30219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.170988552 +30214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.779967147 +30222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.041554654 +30224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.249604421 +30220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -3.452260877 +30221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -3.230035721 +30225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.792169955 +30223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.276348841 +30227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.62712846 +30226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.50632104 +30228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.681763038 +30230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.381992438 +30231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.998350992 +30232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.218388767 +30229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.449304533 +30235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.033256254 +30234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.021558114 +30233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.838479644 +30239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.257084356 +30238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.629310122 +30237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -3.110600556 +30240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.568238669 +30236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.34663317 +30242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.359070009 +30241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.181762881 +30243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 2.723164416 +30245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.205621261 +30244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 3.274876987 +30248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.183376174 +30246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.352379306 +30250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.234512881 +30247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.529882724 +30249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.679562009 +30254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.700417424 +30253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.337254286 +30251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.694998315 +30255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.539167864 +30256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.252559895 +30257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.917031213 +30258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.497476552 +30252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.176344328 +30259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.318600246 +30262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.52343122 +30261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.522197972 +30264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.575580878 +30263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.469677786 +30265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.784452704 +30266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.300823154 +30260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.442846957 +30267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -3.769071722 +30268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.23059732 +30271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -4.030209264 +30270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.359275226 +30273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 3.328227233 +30272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.340762512 +30274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.765351718 +30269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.094838866 +30275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.84880335 +30276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.000319072 +30278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.81172419 +30279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.535365673 +30281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.756027811 +30280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.675223764 +30277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.7939868 +30282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.204331673 +30283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.218450936 +30284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.077584714 +30285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.69427432 +30287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.348945934 +30286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.277493554 +30288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.028022392 +30289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.681343955 +30290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.52135225 +30291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.168579599 +30293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.796574298 +30292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.405943488 +30294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.423288591 +30295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.148590172 +30297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.017450188 +30296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.523482068 +30299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.02083775 +30301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.452945021 +30298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.339318413 +30300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.768134404 +30303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.296309382 +30304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.180382411 +30302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.259610453 +30306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.279453928 +30305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.11116011 +30308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.389268651 +30309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.261642137 +30307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.04283439 +30310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.00573266 +30311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.762195747 +30312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.038684467 +30313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.291050923 +30314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.207337335 +30316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.340766902 +30317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 2.005684124 +30318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.902663578 +30315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.286044162 +30320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.070043452 +30319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.088969295 +30321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.128819321 +30322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.030730864 +30323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.012077119 +30324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.784637859 +30325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.738794195 +30326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.434679594 +30329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.291535941 +30327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 2.165408486 +30328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.742742378 +30330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.562617903 +30331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.992371287 +30332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 2.467248939 +30333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.311417984 +30334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.621821465 +30336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.36644105 +30338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.066845505 +30335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.441108741 +30339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.419895882 +30340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.017606215 +30337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.803958868 +30341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.028375493 +30344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.259658997 +30342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.091056063 +30343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.531374163 +30346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.641933661 +30348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.695207416 +30345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.886240793 +30347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.781698127 +30349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.259099717 +30350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 2.01716986 +30351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.679363963 +30353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.210442894 +30352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.072528946 +30355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.351827426 +30356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.135352277 +30354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.197752816 +30357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 2.428373304 +30358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.495240603 +30361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.083114449 +30360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.568832495 +30359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.603915145 +30363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 2.02416673 +30364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.214118063 +30365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.11106145 +30362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.702979839 +30366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.349480692 +30367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.075334823 +30368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.797091578 +30369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.460514926 +30371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.919073649 +30370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.543650306 +30372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 2.531578063 +30373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.089844403 +30374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.867035397 +30375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.813976071 +30376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.151411142 +30378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.613547451 +30379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 3.804363431 +30380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.083368439 +30381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.514480021 +30377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.112175345 +30382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.164111571 +30383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.579636574 +30384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.844842151 +30385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.608921089 +30387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.390126915 +30386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.344750954 +30390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.472696869 +30389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.776501983 +30388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.440934684 +30391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.582321691 +30392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.121267338 +30393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.57779129 +30394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.071838462 +30395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.640765683 +30398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.118559472 +30396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -3.697213376 +30400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.136379517 +30401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.043706265 +30399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -3.158841305 +30402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.403784999 +30397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.928910009 +30403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.656382044 +30405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.689169436 +30404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.300676573 +30407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.166841413 +30406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.153666696 +30408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.662621915 +30409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.407580707 +30410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.146668087 +30411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.906876917 +30412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.356100258 +30413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.283423357 +30416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.547624372 +30414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.572574468 +30415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.935238376 +30417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.898531646 +30418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.75032325 +30419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.114837675 +30420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.780260197 +30421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.653297149 +30423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.219348655 +30425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.533424437 +30424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.216653707 +30422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.498097536 +30426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.347238309 +30427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.505304468 +30428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.121893759 +30430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.946340152 +30432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.045802029 +30431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.241227893 +30433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.953256434 +30434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.135766461 +30429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.125813597 +30435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.985581629 +30436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.498250577 +30437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.038749775 +30439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.110063862 +30438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.973767932 +30441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.053865833 +30442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.054276177 +30440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.745494132 +30443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.92298542 +30444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.220677094 +30445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.70523858 +30446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.158856871 +30447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.153159535 +30448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.255580204 +30449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.625943136 +30450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.57962948 +30451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.914689855 +30452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.127847062 +30454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.348251687 +30453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.844006365 +30455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.315958388 +30456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.140606068 +30457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.26176993 +30458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.320235113 +30461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.093793192 +30462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.06324598 +30460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.560112233 +30463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.569885575 +30464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.152460791 +30459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.848305245 +30465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.836134366 +30466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.260079739 +30468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.749965576 +30467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.451490316 +30469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.494232588 +30470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.484074664 +30471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.789725437 +30473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.219268771 +30472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -4.159191143 +30474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.985308333 +30477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.307384112 +30476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.7350829 +30475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.081917929 +30478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.967756429 +30479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.52708155 +30480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.136563153 +30482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.053480129 +30481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.204014864 +30483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.664554018 +30484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.303863717 +30486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.695988914 +30485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.316987095 +30487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.783285011 +30488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.14234427 +30489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.036753378 +30490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.455909428 +30492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.226341334 +30491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.241045662 +30494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.362309983 +30493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.335288602 +30496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.460508958 +30495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.564183741 +30497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.167443385 +30498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.047509422 +30500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.299865544 +30501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.470085834 +30499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 2.417148289 +30502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.058599087 +30503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.834876115 +30504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.336150123 +30505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.439459278 +30507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.764114004 +30509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.752867373 +30506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.361475551 +30508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.947568091 +30510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.829328668 +30511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.333469555 +30512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.517001587 +30513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.633611478 +30514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.233943864 +30517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.409185501 +30515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.627507003 +30516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.696234388 +30518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -3.953081463 +30519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -3.142162843 +30520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.841863293 +30521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.154170634 +30522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.117621315 +30523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.260526677 +30524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.464037095 +30526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.727769666 +30525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.051540411 +30527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.938457221 +30528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.045904891 +30529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.278981364 +30530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 2.571900941 +30531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.413295504 +30532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.541937474 +30535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.482826982 +30536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.457106648 +30534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.696603686 +30533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.149871555 +30537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.967209845 +30538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.241297188 +30539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.331116233 +30540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.772201371 +30541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.959460493 +30542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.862412725 +30544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.239465243 +30543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.330433596 +30545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.008124114 +30546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.622199263 +30547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.560559327 +30548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.536526868 +30549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.35922662 +30550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -4.250396906 +30551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.061626378 +30552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.249691802 +30553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.772705143 +30554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.836564983 +30556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 3.757222389 +30555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.186574695 +30557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.111767935 +30558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.266379314 +30559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.621153084 +30561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.956522187 +30562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.177714994 +30563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.183642631 +30564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.148177544 +30560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.541539319 +30566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.017833913 +30565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.076413661 +30567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.808716025 +30568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.183975424 +30570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.476650973 +30569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.979294226 +30571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 2.515158536 +30572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.169544098 +30573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.791116286 +30574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.143759227 +30575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.574220494 +30576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.068739035 +30577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.150711206 +30578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 2.401329937 +30579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.535904395 +30581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.04844915 +30582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.916385814 +30583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.799574421 +30584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.446859543 +30580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.646258614 +30586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.1269445 +30585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.900702549 +30587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.219873248 +30588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.148801677 +30589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.243778768 +30590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.521953664 +30591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.728385241 +30595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.128158513 +30592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.260743731 +30594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.79122695 +30593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.062100553 +30597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.41713459 +30596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.312563848 +30598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.045816837 +30599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.274477186 +30603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.870179173 +30602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.095041996 +30600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.359866884 +30605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.241966163 +30604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.369420183 +30601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.089745761 +30606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.867697232 +30607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.063123549 +30608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.952243213 +30609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.290501763 +30610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.529912962 +30611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.124650177 +30612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.087698829 +30613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.238702644 +30614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.698393695 +30616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.664773198 +30615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.425212348 +30617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.171022113 +30618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.70748731 +30619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.325697643 +30620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.094248155 +30622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.926795138 +30621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.608621487 +30624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.961367171 +30625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.675944703 +30626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.206277441 +30623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.173186945 +30627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.263965099 +30628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -4.327876108 +30630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.320741704 +30629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.993793167 +30631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.151587237 +30632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.507066062 +30633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.506840833 +30634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.229294351 +30635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.928294032 +30636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.489264574 +30638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.586467366 +30639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.25318489 +30637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.7740765 +30641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.943210962 +30640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.604841721 +30642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.064632089 +30643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.178774145 +30644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.188199373 +30645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.491058966 +30646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.390729265 +30648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.40738713 +30647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.223075525 +30650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.681258888 +30651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.043034546 +30649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.414952426 +30652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.729751988 +30654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.143949048 +30655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.47072381 +30653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.921866566 +30656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.15206042 +30657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.140389034 +30658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.780081462 +30659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.405219968 +30660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.568693729 +30661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.674732951 +30662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.769923906 +30663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.071788784 +30665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.015336398 +30664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.441846613 +30666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.250598321 +30667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.180638411 +30668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.34240177 +30670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.861660351 +30669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.628361309 +30671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.687461994 +30673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.681935328 +30674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.370817814 +30675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.803550149 +30672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.546760945 +30676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.335166262 +30679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.869135951 +30677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.052119957 +30681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.246337249 +30678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.376176731 +30683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.993518175 +30684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.62539379 +30682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.504283571 +30680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.273588317 +30685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.515084776 +30686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.404908139 +30687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.175806058 +30688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -3.741450837 +30689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.748779828 +30690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.995393962 +30691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.959991885 +30692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.310545489 +30693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.167005407 +30695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.268479899 +30696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.31882413 +30698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.114972835 +30697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.2240746 +30694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.882687312 +30699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.840086515 +30700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.568797443 +30701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.423609 +30702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.484254993 +30703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.161627366 +30704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.197316355 +30705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.615201116 +30706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.664832474 +30707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.049737156 +30708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.961598793 +30709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.350047596 +30711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.020873009 +30710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.847686021 +30712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.232391582 +30713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.331997837 +30715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.855121938 +30714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.80919964 +30717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.447217684 +30719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.723408123 +30718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 2.212665704 +30720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.717074732 +30721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.651179009 +30716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.499282399 +30723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.043660266 +30724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.313438386 +30725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.916755845 +30722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.84650283 +30726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.370643886 +30727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.501677132 +30728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.176702464 +30730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.881468461 +30733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.376530877 +30732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 2.520474494 +30734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.012575061 +30729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.320195067 +30736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.474390935 +30731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.179791614 +30735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 3.441010514 +30740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.739362025 +30737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 2.124302975 +30739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.251407465 +30738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.070069765 +30741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.929406802 +30743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 2.088264651 +30744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.47354244 +30742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.46022092 +30746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.151392384 +30745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.620742283 +30748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.700706095 +30747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.16004222 +30750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.261235845 +30751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.967510551 +30749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.855949156 +30752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.725578879 +30753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.560787985 +30754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.62544898 +30755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.678306345 +30756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -3.289444268 +30757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.462653254 +30758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.749186786 +30759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.833770011 +30761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.585333298 +30763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.100151931 +30762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 4.053999785 +30760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.277337817 +30765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.892622465 +30764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.609121172 +30766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 2.595180609 +30767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.978682833 +30768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -3.113115044 +30770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.69335884 +30769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.175770657 +30771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.365530088 +30773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.349152063 +30772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.152905637 +30774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.184619313 +30775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.662713835 +30777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.742181988 +30778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.406391141 +30776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.068065887 +30781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.358715635 +30780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.756798369 +30779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.220304875 +30782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.001687994 +30783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.916437455 +30784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.241466185 +30786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.538175491 +30785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.917907186 +30787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.812831099 +30789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.640704998 +30788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.399618153 +30790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.531122357 +30794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.439450335 +30792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.168200206 +30795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -3.137442366 +30791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.771862937 +30796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.549353113 +30797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.711528436 +30793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.564805297 +30799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.332537804 +30800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.300512682 +30801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.152551026 +30798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.914820565 +30802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.217174103 +30803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.855827878 +30805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.362307243 +30804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -4.219122645 +30806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.806602715 +30809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.251976409 +30807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.059826524 +30808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.649481318 +30811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.835489199 +30812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.351893402 +30813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.356259418 +30814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.339773069 +30816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 2.113293444 +30810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.571075439 +30817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.345198519 +30818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.04419812 +30819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.478754478 +30820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.764299837 +30815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.360294154 +30821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.151003752 +30825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.111587233 +30826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.529795079 +30824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.017147658 +30823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.029283664 +30827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.238539302 +30822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.510217117 +30828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.552803119 +30829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.122782036 +30830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.847747591 +30832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.431285549 +30834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.620126083 +30833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.159895301 +30835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.499949991 +30836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.557595357 +30831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.639433653 +30837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 2.229924859 +30838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.821899568 +30839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.869649296 +30842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.39360808 +30841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.510824154 +30840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.50117047 +30844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.009618859 +30843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.139405981 +30845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.433042216 +30846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.137599961 +30848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.572859261 +30850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.001191452 +30847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.064623479 +30851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.746414848 +30849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.054368153 +30852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.265112547 +30854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.685422023 +30853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.491655238 +30855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.680665619 +30856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.61520337 +30858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.114358936 +30857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.915169022 +30859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.790755048 +30861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.968094864 +30862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 2.332850882 +30864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 3.330400648 +30860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.04819105 +30863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.071074715 +30865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.093010516 +30866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.195290134 +30868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.948828518 +30867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.313792273 +30871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.747265661 +30870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.531092212 +30872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.239190605 +30869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.76763645 +30874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.371625242 +30873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.565158952 +30877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.124233115 +30875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.354637532 +30878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.856068878 +30876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.19410758 +30879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.54239144 +30880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 2.470538765 +30881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.781868865 +30882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.573191322 +30884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.926904694 +30885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.129889111 +30883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.840035043 +30888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.052919637 +30886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.782404712 +30889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.200637215 +30887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.944249753 +30890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.038506747 +30891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.1138169 +30892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.9650861 +30893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.705524522 +30894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.929885867 +30896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.370128011 +30897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.998546711 +30895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.941856909 +30899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.249456949 +30900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.607660129 +30901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.164952318 +30902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 2.003309912 +30898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.990281181 +30903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.729990001 +30904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.20049218 +30905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -3.034337781 +30906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.973170539 +30907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.895307355 +30908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.090279611 +30909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 2.436056756 +30910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.466196225 +30911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 2.083814789 +30912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 2.37955164 +30913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.612449159 +30914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 2.512083678 +30916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.357252749 +30917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.060493866 +30915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.626022336 +30918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.946623412 +30919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.276122537 +30920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.804855905 +30921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.691811098 +30922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.612208345 +30923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.394173913 +30925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.258622423 +30924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.601844262 +30926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.85252757 +30927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.16355028 +30929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.55892873 +30928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.235598076 +30930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.937697883 +30932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.160750798 +30931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.666764733 +30933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.140511628 +30934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.675454241 +30935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.76892446 +30937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.74333715 +30936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.259007012 +30939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.041243315 +30938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.279670137 +30940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.507432899 +30942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.345347484 +30941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.351239795 +30943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.050918976 +30944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.189892731 +30946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.713256606 +30947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.270195565 +30945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.837336178 +30948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.813631376 +30950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.377676924 +30949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.562057298 +30951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -3.747783219 +30952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.029659294 +30954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.83749901 +30953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.177018395 +30955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.015528792 +30957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.735102989 +30958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.670214891 +30959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.140056247 +30960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.560922126 +30962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.145167633 +30963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.991408472 +30956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.273045717 +30961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.889878258 +30964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.356898916 +30966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.234106619 +30965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 2.013765705 +30967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -3.141425193 +30969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 2.442811414 +30968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 4.27873287 +30971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.652005319 +30970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -2.99795016 +30972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.958093147 +30974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.487221822 +30973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.265615573 +30975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 2.270027624 +30977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.719578062 +30976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.788298079 +30978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.114303591 +30980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.550663022 +30981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.093556185 +30982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.514243305 +30979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.539941203 +30986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.584584765 +30984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -3.207887257 +30985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.627840818 +30983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.170483772 +30987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.547824849 +30988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.371650911 +30990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.514192684 +30992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.370426517 +30991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.845449544 +30993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 2.203796012 +30994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.618694723 +30989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.729367042 +30995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.38497465 +30996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.259083779 +30999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.802802022 +30998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 1.844558552 +30997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.747986068 +31000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -1.107720113 +31001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.307864679 +31003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.806633025 +31002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.26638447 +31004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.426310345 +31005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.559086498 +31006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.36004767 +31007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.495022694 +31008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.501166124 +31010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.393702505 +31009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.882249343 +31011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.139100934 +31012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.784906402 +31013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.329431508 +31015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.206581501 +31014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.351057551 +31017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.659219347 +31020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.415050541 +31018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.99286605 +31019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.204218734 +31016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.047975799 +31021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.21849829 +31022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.183819001 +31023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.289307664 +31026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.123551308 +31027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.648677386 +31025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.597450175 +31024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.666371125 +31029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.190192886 +31028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.097318198 +31031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.900462347 +31030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.407537506 +31033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.338180608 +31035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.698732972 +31034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.278737282 +31036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.257934197 +31037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.857891636 +31039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.916834408 +31038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.253795794 +31032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.635005769 +31040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.253130726 +31041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.509644592 +31043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.173920909 +31045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.188902179 +31046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.649156517 +31044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.608493243 +31042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.265772165 +31047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.645416117 +31048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.044803208 +31050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.114190641 +31051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.647848755 +31049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.498678613 +31053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.93606373 +31052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.506423735 +31054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.407052509 +31055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.157145181 +31057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 3.569210095 +31056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.214410281 +31058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.881673159 +31059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.289986663 +31062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.40149645 +31061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.21775238 +31060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.389622683 +31063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.342438576 +31064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.423035021 +31065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.502038839 +31068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.292462882 +31066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.380591752 +31069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.103233706 +31070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.068233831 +31071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.045559179 +31067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.029929351 +31072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.700623819 +31073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.510435756 +31074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.655764989 +31075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.791324092 +31076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.738555981 +31078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.295857874 +31079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.767347024 +31080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.670338873 +31077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -3.196189347 +31081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.431521748 +31083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.346297234 +31082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.243582657 +31084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.243656956 +31085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.801204004 +31088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.410184223 +31089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.681060304 +31086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.328909538 +31087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.230048487 +31090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.056351534 +31092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.092642 +31091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.806861084 +31093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.017036607 +31097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.06654195 +31095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.090829836 +31096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.426561784 +31098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.094968894 +31100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.483351723 +31099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.015201371 +31094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.726841814 +31101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.237184221 +31104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.054728238 +31102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.297345523 +31105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.593331606 +31103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.798741035 +31107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.887657127 +31106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.993413836 +31109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.713510088 +31108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.273963579 +31111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.375259688 +31113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.420471465 +31112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.103608341 +31110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.63429918 +31114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.178128325 +31115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.497972263 +31116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.545519504 +31117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.502805815 +31118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.287926633 +31121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.168562745 +31120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.23459721 +31119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.210730812 +31123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.542134702 +31122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.259265326 +31124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.094798076 +31125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.02701936 +31126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.596594635 +31127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.978119946 +31129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.40140093 +31130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.411248953 +31128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.89474275 +31131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.022348879 +31132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.463795069 +31133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.113614669 +31134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.594622455 +31135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.209970222 +31136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.266610602 +31137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.118441176 +31138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.19500389 +31139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.17356717 +31140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.419995362 +31141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.925174112 +31143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.679879415 +31144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.539960932 +31142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.452755972 +31145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.278852704 +31147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.486766844 +31146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.394168583 +31148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.414014535 +31152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.574892481 +31149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.146164894 +31153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.207873739 +31150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.267403227 +31154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.596221764 +31155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.4620779 +31151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.829323709 +31156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.547824728 +31157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.346683356 +31159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.787760359 +31161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.3733155 +31160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.468504068 +31162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.808398742 +31158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.824965881 +31164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.77667043 +31163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.401187241 +31165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.434052576 +31166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.350815883 +31167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.19749532 +31168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.003602844 +31171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.498972056 +31172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.332620026 +31170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.724653915 +31169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.932477931 +31173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.326170678 +31174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.013380158 +31175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.126462292 +31176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.874439984 +31178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.525752311 +31180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.335587268 +31177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.54097314 +31179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.783728802 +31181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.500673154 +31182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.254352003 +31183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.285382908 +31184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.730244542 +31185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.981573098 +31186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.059696469 +31187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.298210583 +31188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.162187706 +31189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.047088941 +31191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.690767828 +31192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.282571444 +31190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.188513478 +31193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.38376801 +31194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.75413802 +31195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.165921328 +31197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.116084222 +31196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.737513676 +31198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.394948881 +31199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.832417707 +31200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.175045362 +31201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.62345979 +31203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.097352467 +31202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.765517817 +31204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.740798371 +31207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.957930863 +31206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.213259784 +31208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.704475337 +31205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.553604999 +31209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.176762184 +31211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.532673602 +31210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.901844036 +31212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.275754563 +31213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.878900097 +31214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.869225639 +31215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.441445869 +31217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.417462821 +31219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.137967487 +31218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.595167703 +31216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.880216713 +31220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.463315709 +31221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.254346308 +31222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.637108518 +31223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.16469952 +31224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.247129414 +31225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.659460876 +31226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.472182694 +31229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.912653614 +31228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.21061159 +31230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.363190137 +31231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.639504583 +31227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.661461201 +31232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.832996219 +31233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.418057288 +31234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.17268463 +31235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.87441466 +31236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.928519798 +31238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.326467647 +31237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.842676035 +31240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.575817843 +31239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.211764169 +31241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.062818894 +31242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.23598212 +31243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.983117935 +31244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.626467463 +31245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.960418091 +31246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.661175476 +31247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.752504927 +31248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -3.946372744 +31250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.982433238 +31249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.75476659 +31252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.347952451 +31253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.632953483 +31251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.841508346 +31254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.558270835 +31255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.859901632 +31257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.429611267 +31258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.687674685 +31256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.912351145 +31259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.339792832 +31260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.992680623 +31261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.795743624 +31262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.774716532 +31263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.490038015 +31264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.217436404 +31267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.05969935 +31266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.655444763 +31270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.074667407 +31269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.889343542 +31265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.488108025 +31268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.394594449 +31272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.931850241 +31271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.370553293 +31273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.016999197 +31275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.416409244 +31276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.080988886 +31277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.680334167 +31278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.95567176 +31274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.165082861 +31280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.124325197 +31281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.488071871 +31283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.781769569 +31284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.505034248 +31279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.326907585 +31282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.325814695 +31285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.770532797 +31286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.372544371 +31287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.758694093 +31288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.018828238 +31289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.493064993 +31290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.505670426 +31291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.374866966 +31293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -3.145664995 +31292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.179765086 +31297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.315735388 +31296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.853606264 +31298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.32424757 +31294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.293165102 +31300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.894294916 +31301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.459741131 +31295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.048612097 +31299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.375296783 +31303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.127070669 +31302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.732176284 +31304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.445003541 +31305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.198052841 +31306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.267131982 +31307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.055010626 +31308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.239784252 +31309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.420560832 +31311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.270845473 +31310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.832915242 +31312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.008631034 +31314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.250616223 +31315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.786776329 +31313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.079219182 +31317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.615408697 +31318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.90412438 +31316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.550599127 +31319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.167457392 +31320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.246678216 +31321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -3.328638678 +31322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.617743937 +31323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.248621259 +31324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.193478551 +31326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.575051823 +31325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.478463207 +31327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.659229434 +31328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.172928329 +31330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.718311202 +31331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.3964223 +31329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.37590216 +31332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 4.140102103 +31334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.625108632 +31333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.059081752 +31335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.134472613 +31336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.195863138 +31337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.037949561 +31339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.951174887 +31338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.276421988 +31342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.770744534 +31341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.007211218 +31340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.683807618 +31343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.784630905 +31344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.782522914 +31345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.081810214 +31347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.350812726 +31348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.345218383 +31346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.544654168 +31349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.244012012 +31351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.406825851 +31352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.3144523 +31350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.37034819 +31353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.588354269 +31356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.027937341 +31357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.333023302 +31358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.803309194 +31354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.800007824 +31355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -3.194821775 +31359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.880500824 +31360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.305197483 +31361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.420730353 +31363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.511258443 +31362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.420038768 +31364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.132159531 +31365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.134052607 +31366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.397137154 +31367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.954944732 +31369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.428465886 +31372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.170688544 +31371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.544387172 +31370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.290267725 +31373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.723902852 +31375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.003270359 +31374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.972861744 +31368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.357498088 +31377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.629558115 +31376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.489674782 +31379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.134891108 +31378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.238867848 +31380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.467390093 +31381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.887541394 +31382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.310554579 +31383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.299744481 +31384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.415468392 +31386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.347289757 +31385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.572802124 +31387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.255044303 +31388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.144581046 +31390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.388896834 +31389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.159628083 +31392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.237260042 +31393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.354719739 +31394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.344067193 +31396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.496570492 +31395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.38636992 +31391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.225238571 +31397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.77216703 +31398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.171257563 +31399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.829577633 +31401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.191356218 +31400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.625980472 +31403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.550138448 +31402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.23172378 +31404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.189729312 +31405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.864666208 +31407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.688271056 +31406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.35545287 +31408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.408726961 +31409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.514493061 +31410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.423537958 +31411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.845627245 +31413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.621142426 +31412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.068852782 +31415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.054545276 +31417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.727047203 +31414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.099635874 +31416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.840529449 +31418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.018891201 +31419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.086711212 +31420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.954456148 +31421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.487589373 +31423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.990514101 +31424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.745145537 +31425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.312213022 +31426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.368001542 +31422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.632331495 +31428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.522512868 +31427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.086484872 +31430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.078134118 +31431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.446152867 +31432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.075521833 +31434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.52041572 +31429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.749391744 +31433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.568869894 +31435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.277200083 +31436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.319242561 +31437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.522805331 +31440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 3.208741903 +31439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.041262767 +31441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.176508246 +31442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.878051659 +31438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.296993298 +31443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.886997991 +31444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.007051589 +31445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.436355343 +31447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.06488079 +31449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.016483096 +31450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.836308426 +31446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.790750063 +31448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.682308812 +31451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.115199133 +31452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.770835633 +31453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.752061859 +31454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.060181916 +31457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.266027229 +31455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.477858251 +31456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.936198853 +31459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.691718504 +31460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.954962715 +31458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.817778755 +31461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.030679891 +31462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.514214218 +31464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.769607937 +31465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.761473475 +31466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.331041845 +31463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.248038805 +31467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.64307792 +31468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.967879489 +31469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.519665441 +31470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.231386306 +31471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.637109084 +31473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.930704532 +31472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.064865933 +31474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.018363068 +31475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.771516653 +31477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.172427985 +31476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.781087629 +31479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.526445462 +31481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.563884805 +31480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.577687454 +31482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.653452878 +31483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.200363425 +31478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.711247881 +31484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.011392055 +31486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.134892549 +31488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.966069599 +31487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.50522125 +31490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.383501113 +31485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.88236328 +31489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.185438999 +31491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.020707402 +31492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.293851005 +31494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.437651086 +31493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.787825296 +31495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.491535384 +31497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.436279861 +31498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.685346961 +31496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.936984525 +31499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.416914137 +31500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.012931133 +31503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.988066892 +31502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.723651269 +31504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.084162515 +31501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.121919261 +31505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.029928476 +31506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.553560824 +31508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.524697068 +31509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.078377032 +31507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.292374258 +31512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.265768783 +31511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.172226479 +31514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.677198159 +31513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.932034808 +31510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.989320698 +31515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.930975454 +31516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.700315695 +31518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.649511954 +31519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.286899443 +31521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.249273534 +31522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.312852835 +31517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.212368462 +31520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.28912153 +31523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.699485938 +31524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.030938249 +31525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.12092198 +31526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.21176288 +31527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.838043107 +31528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.216900977 +31531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.28226158 +31530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.134636355 +31532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.384215137 +31529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.329939925 +31533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.006948997 +31534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.129118799 +31535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.036036891 +31536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.038299011 +31537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.023424212 +31538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.579430961 +31539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.576041173 +31540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.696071549 +31541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.167124055 +31542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.424783619 +31544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.384045952 +31543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.073823644 +31545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.324377623 +31547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.190355972 +31546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.970905484 +31549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.032704136 +31548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.780728084 +31553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.590356415 +31551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.191489501 +31552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.798723335 +31550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.147811435 +31554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.088526172 +31555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.346266743 +31556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.969546419 +31557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.323926465 +31558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.191969601 +31560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.580230952 +31559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.589273418 +31562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.244783829 +31561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.616885222 +31563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.194621021 +31564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.502508761 +31566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.93823366 +31565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.25841707 +31567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.150909099 +31568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.858309039 +31570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.218066578 +31569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.758180586 +31571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.868166519 +31572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.073322495 +31573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.653244509 +31575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.276781186 +31574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.823969445 +31576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.551597202 +31578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.346800327 +31579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.758494386 +31577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.806403147 +31580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.979476569 +31582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.708276076 +31581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.23979886 +31584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.663906161 +31585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.124358609 +31586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.825194726 +31583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.891119628 +31587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.199210698 +31588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.667894469 +31589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.117545529 +31590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.107355453 +31591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.529203837 +31592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.794715009 +31593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.595128015 +31595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.360713852 +31594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.993436724 +31596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.016846609 +31597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.87123667 +31598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.243605401 +31599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.450880165 +31600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.392016591 +31601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.487492045 +31602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.275965061 +31604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.076831399 +31603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.478069793 +31605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.513111979 +31606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.887709058 +31608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.50778761 +31607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.02878569 +31609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.691796957 +31610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.539362134 +31611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.476836138 +31612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.066765789 +31613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.321280692 +31614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -3.386536469 +31616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.376772401 +31615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.082590222 +31617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.857939481 +31618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.778350862 +31619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.050719951 +31620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.940998956 +31621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.207951015 +31623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.284360518 +31622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.443254676 +31624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.35505979 +31625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.01837808 +31626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.199690122 +31627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.073477737 +31629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.516372471 +31628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.344679824 +31630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.325730324 +31631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.839585488 +31632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.835223466 +31633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.978083201 +31634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.124228571 +31635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.690646388 +31636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.423136874 +31639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.152490625 +31638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.037981001 +31637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.516418931 +31640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.817941555 +31641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.432346371 +31642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.079564963 +31643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.257002713 +31644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.041546671 +31645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.14992469 +31646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.188287712 +31649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.884818123 +31648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.113880361 +31650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.077607339 +31647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.753921423 +31651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.146939979 +31652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.125450687 +31654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.542000939 +31655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.168050462 +31653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.978362533 +31656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.253992465 +31657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.718712218 +31659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.107742654 +31658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.832469678 +31660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.075566551 +31662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.502385074 +31663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.093991842 +31664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.100268895 +31661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.615187225 +31665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.53371743 +31666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.59866531 +31668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.448738049 +31667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.734769179 +31669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.56453504 +31670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.310443419 +31671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.106996962 +31672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.642507947 +31674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.980966745 +31675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.754403552 +31673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.079105773 +31676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.438989369 +31678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.10092255 +31677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.679995651 +31679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -3.347787073 +31680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.635993299 +31681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.309517593 +31682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.560928698 +31683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.104454483 +31685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.261749287 +31686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.653193308 +31687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.869388692 +31684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.751381144 +31688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.90160379 +31689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.928263341 +31692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.04636106 +31690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.211371283 +31691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.275888378 +31694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.688373627 +31693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.465576571 +31696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.482347997 +31695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.462336246 +31697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.627998054 +31698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.329696418 +31699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.691890474 +31700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.465298986 +31702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 3.277711597 +31701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.193164135 +31703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.331440075 +31705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.097557524 +31708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.830645918 +31710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.580097145 +31707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.976688743 +31706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.881959519 +31709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.595169234 +31704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.301905977 +31711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.692211834 +31712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.080476652 +31714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.770349109 +31716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.093317322 +31715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.187191348 +31713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.823797971 +31717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.376052788 +31718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.372245172 +31719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.414765865 +31721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.166656064 +31724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.849773415 +31722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.55910681 +31720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.769174651 +31723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.126653696 +31725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.95199663 +31729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.17738146 +31726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.160097465 +31731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.76895057 +31730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.920840406 +31727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.084535045 +31728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.285258736 +31732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.221482022 +31733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.051342036 +31734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.321586077 +31735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.615234501 +31737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.086208231 +31738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.530142178 +31736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.422606543 +31739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.312142327 +31740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.320544025 +31741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -3.132767903 +31743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.455974478 +31742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.500542969 +31746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.460694571 +31745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.668836346 +31747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.982173678 +31744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -3.231951707 +31748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.429181396 +31749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.044833089 +31751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.283160039 +31752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.500258907 +31750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.562832782 +31753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.951018399 +31754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.150555309 +31756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.451255449 +31755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.226741204 +31757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.723159855 +31758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.464488854 +31759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.430145691 +31760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.563557958 +31762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.18766168 +31763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.625919727 +31764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.326505549 +31761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.048091264 +31765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.271078312 +31766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.079492791 +31767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 3.039668124 +31770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.62344038 +31772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.478948317 +31769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.093732303 +31768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.987010466 +31771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.196956481 +31773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.389340802 +31774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.846688335 +31775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.212625997 +31777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.740218353 +31776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.260795375 +31778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.532168419 +31780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.706106519 +31779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.585414231 +31781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.053298037 +31783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.722537979 +31782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.262504092 +31785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.130211574 +31784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.143832394 +31787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.788753959 +31786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.564208658 +31789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.079930015 +31790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.517821363 +31791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.577194205 +31788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.48032711 +31792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.8148186 +31793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.076874399 +31794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.235842735 +31795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.001529098 +31796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.863285828 +31797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.36740627 +31798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.196236046 +31799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.360610425 +31800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.874386882 +31802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.212701672 +31801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.374619404 +31803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.552496451 +31804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.469421014 +31805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.255484754 +31806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.931456023 +31808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.324236034 +31809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.007000189 +31811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.137360659 +31810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.117232076 +31813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.254430259 +31814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.389915537 +31807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.934614943 +31812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.377663566 +31816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.499116892 +31815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.382320611 +31817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.167799559 +31818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.506270763 +31819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.565745297 +31820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.094693638 +31821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.547917582 +31822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.960174052 +31823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.037689137 +31824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.151188229 +31827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.795348521 +31826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.26980857 +31828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.67080269 +31830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.823341953 +31825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.174700804 +31832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.116580435 +31831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.415836211 +31829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.375200808 +31833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -4.287488978 +31834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.847191568 +31835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.602743522 +31837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.540044948 +31839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.373784817 +31836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.135242338 +31838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.771533438 +31842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.243295454 +31840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.911555259 +31841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.427422538 +31843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.584741888 +31844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.047135631 +31845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.04764042 +31846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.879277925 +31847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.673710596 +31849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.007402856 +31850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.109665897 +31851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.007391304 +31848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.085250617 +31852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.738613646 +31854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.544664615 +31853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.762041494 +31855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.908663665 +31857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.605116803 +31859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.872195235 +31858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.937783631 +31860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.800635088 +31861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.449426505 +31862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.499499052 +31863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.082551102 +31856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.234607957 +31864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.814030219 +31865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.528897393 +31866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.64767414 +31867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.095774066 +31869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.558498168 +31868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.631516202 +31870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.721670612 +31871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.184437056 +31872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.293749271 +31874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.01300415 +31873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.157153414 +31875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.979316801 +31876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.025374805 +31877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.781694809 +31878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.571284215 +31882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.177127236 +31879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.998412666 +31881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.262125608 +31880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.469013969 +31885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.115000959 +31884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.311861519 +31883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.294404177 +31886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.965118317 +31888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.347600665 +31887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.61398153 +31890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.42228531 +31889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.297036047 +31893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.495420415 +31891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.035976875 +31892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.601515004 +31894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.249944316 +31895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.806031287 +31896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.507461191 +31898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.935096431 +31899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.307221159 +31900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.042106342 +31897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.05480367 +31901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.907324872 +31902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.304616702 +31903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.09556524 +31904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.059918385 +31905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.288670255 +31907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.052657595 +31908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.147059782 +31909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.177794673 +31906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.108536344 +31910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.286177112 +31911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.276269122 +31912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.020115497 +31913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.306474627 +31914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.628872051 +31915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.652120519 +31917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.518768583 +31918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.483028315 +31920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.904217646 +31919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.407662458 +31916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.672505427 +31921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.957918293 +31922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.879822306 +31925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.746089108 +31923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.614800471 +31924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.454951634 +31927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.082394921 +31926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.140114678 +31929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.021138998 +31928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.831965952 +31930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.931066868 +31932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.453641976 +31931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.503573094 +31933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.114537127 +31934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.484097593 +31935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.619173594 +31936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.917435892 +31937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.388626898 +31940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.751486002 +31941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.277040431 +31938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.37221833 +31942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.030425628 +31943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.086479076 +31939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.479255288 +31944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.839464556 +31945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.411780984 +31946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.101152982 +31948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.661750339 +31950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.102628563 +31949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.820971722 +31947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.555256174 +31952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.178097076 +31951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.462391179 +31953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -3.19435176 +31954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.186066691 +31955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.503820599 +31956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.061919247 +31958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.349151261 +31957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.665704304 +31961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.168700419 +31960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.165606857 +31959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.078503821 +31962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.854859877 +31965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.88904195 +31966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.455095311 +31964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.389041149 +31967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.050570382 +31969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.926291491 +31963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.32612303 +31968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.250799979 +31970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.666417974 +31971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.846579721 +31972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -2.112950927 +31973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.155715944 +31975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.278048522 +31976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.674896755 +31974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.461869997 +31978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.229220907 +31977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.877044606 +31979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.150129748 +31980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.13424709 +31981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.741351621 +31982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.88842967 +31983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.767617887 +31984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.697853349 +31985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.452792455 +31987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.013991769 +31986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 2.1275278 +31988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.631613132 +31989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.961174259 +31990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.154590906 +31991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.190567442 +31992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.663971194 +31993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.49923461 +31994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.209283248 +31997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.959112799 +31995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.445003289 +31998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.40024683 +31996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.410683588 +31999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -3.498600002 +32000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -1.408465389 +32001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.650751816 +32002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.691262502 +32005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.358009935 +32003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.097992744 +32007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.008139122 +32006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.279937701 +32008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.445547167 +32009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.963006127 +32010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.43148658 +32004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.766106157 +32011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.627476088 +32012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.369419709 +32013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.162312213 +32014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.744426281 +32016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.926236186 +32015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.564635515 +32017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.635790392 +32018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.180718532 +32020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.656445618 +32021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.643186141 +32019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.566756458 +32024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.595525099 +32023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.283492728 +32022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.343518406 +32027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.553735495 +32028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.091650362 +32029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.162918877 +32025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 2.016897747 +32031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.892485496 +32026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.223180088 +32032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.929873078 +32030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.559395198 +32033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.687875838 +32034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.368528872 +32035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.792735513 +32036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.145607881 +32037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.133259629 +32038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.233963682 +32039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.315105519 +32040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.47421593 +32042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.523836989 +32041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.625596581 +32043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.625734811 +32046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.877343625 +32044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.318932117 +32047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.098690516 +32048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.124092593 +32045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.291418031 +32049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.996764892 +32050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.580662815 +32052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.300566204 +32051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.637254437 +32053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.950446605 +32054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.290083294 +32056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.012457661 +32055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.249500888 +32057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.207105608 +32058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.010306506 +32060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.997646686 +32061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.620983458 +32059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.3259337 +32062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.152847145 +32063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.398456634 +32064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.194314874 +32065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.802610176 +32066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.650403531 +32067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.10990977 +32068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.495403526 +32069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -4.35457161 +32070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.319198404 +32073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.194265772 +32072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.12340002 +32075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.044658379 +32074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.689280339 +32076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.047220109 +32071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.991820239 +32077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.376163736 +32078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.458382034 +32080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 2.501094825 +32081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.494587492 +32082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.246347694 +32083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.36057493 +32079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.075804177 +32084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.213466265 +32085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.417150206 +32087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.319820822 +32086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.884502724 +32088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.296223157 +32089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.257879488 +32090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.245889254 +32091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.939820908 +32092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.991516258 +32093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.644869512 +32095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.135600541 +32096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.694405896 +32097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.045926148 +32099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.664166015 +32094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.03460834 +32098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.148212977 +32101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.013982019 +32100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.195106473 +32103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.949162231 +32102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.540529494 +32104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.242160485 +32106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.233564635 +32107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.836345333 +32105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.814464844 +32108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.133678368 +32109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.637396593 +32111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.032184361 +32110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.630182382 +32112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.141601625 +32114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.811888568 +32115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.775431665 +32113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.257678267 +32116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.239294317 +32117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.177031334 +32118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.716908023 +32119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.144548318 +32120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.994289264 +32122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.022369452 +32121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.842577304 +32123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.280017598 +32124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.557274487 +32125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.601095777 +32126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.288515549 +32128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.240471987 +32129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.521185537 +32127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.244386995 +32130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.276383406 +32131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.646283122 +32132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.166662454 +32133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 2.608144351 +32134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.023640102 +32135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 2.356354213 +32136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.781862371 +32138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.611942946 +32137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.996918609 +32140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.097899145 +32139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.568756463 +32142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.888364293 +32141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.144770399 +32143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.143957468 +32145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.633083527 +32146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.363208181 +32144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.769788565 +32147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.999534549 +32148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.377592163 +32151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.950274054 +32149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 2.429364013 +32152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.239897354 +32153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.073840126 +32155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.246208458 +32154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.560489977 +32156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.20320706 +32150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.246738404 +32157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.537009624 +32158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.039986649 +32160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.040618394 +32162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.306493592 +32159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.399869207 +32163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.522029934 +32161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.945225884 +32164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.834626111 +32166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.075455046 +32165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.119092745 +32168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.160944444 +32169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.673393664 +32170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.871651604 +32171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.107634421 +32167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.70406989 +32172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.952635008 +32173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.209177056 +32174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.190361567 +32175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -4.436307205 +32178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.444253878 +32179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.05276426 +32176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.288110303 +32177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.216959186 +32180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.13796866 +32183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.134917976 +32182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.013151341 +32181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.42133726 +32184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.399984922 +32185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -3.240085301 +32186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.480801224 +32187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.551636461 +32188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.097380678 +32189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.044295421 +32190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.103335262 +32191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.579941619 +32192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.246523588 +32194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.06625243 +32193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.295722435 +32195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.085203049 +32196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.580455386 +32197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.099083497 +32198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.543087184 +32199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.877362861 +32200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.352094464 +32201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.607505241 +32202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.822158725 +32203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.443993683 +32205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.251831233 +32207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.620642094 +32208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.115233051 +32204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.862103228 +32209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.299053872 +32210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.507192847 +32206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.992178243 +32211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.286793858 +32212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.156420682 +32213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.172617358 +32214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.257243939 +32215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.113750718 +32217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.099757909 +32218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.714187617 +32216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.878262296 +32220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.979305087 +32221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.11835377 +32219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.14790485 +32223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.525055982 +32224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.407840047 +32225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.408169364 +32226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.537108131 +32227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.426401082 +32228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.155559703 +32229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.466878767 +32222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.51130581 +32232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.199911049 +32231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.677995416 +32233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.251950427 +32230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.810873001 +32234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.05254844 +32237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.239909437 +32236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.345729432 +32235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.802651305 +32239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.765536384 +32238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.066705552 +32240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.530056626 +32242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.344002693 +32244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.52604974 +32243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.596535316 +32241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.44239235 +32247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.069600482 +32245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.620263664 +32248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.959178926 +32246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.108422102 +32250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.88284184 +32251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.472726113 +32254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.546616502 +32253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.319673363 +32252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.574592639 +32255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.539423767 +32249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.100892589 +32256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.923580423 +32257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.416079453 +32258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.124814511 +32261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.228602606 +32262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.809324564 +32259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.629386522 +32263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.81173515 +32264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.344723352 +32265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.969602203 +32260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.186726354 +32266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.998881549 +32268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.417859194 +32267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.079939866 +32269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.414680443 +32270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.357144671 +32271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.754740565 +32272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.085813211 +32273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.382253538 +32274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.441682172 +32275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.138799417 +32276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.534236993 +32277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.999336821 +32278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.128686786 +32279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.452081506 +32280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.472187686 +32282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.319860462 +32281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.236397778 +32283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.215676102 +32284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.371634629 +32286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.763214616 +32285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.606042553 +32288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.533174201 +32287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.359292198 +32289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.934071141 +32290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.806672312 +32292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.713944055 +32291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.279151166 +32293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 2.672732565 +32294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.287108254 +32295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.55778675 +32296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.357913243 +32297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.183443173 +32299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.174160332 +32298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.205850757 +32300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.598671584 +32301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.118937293 +32302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.615670246 +32304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.924294825 +32303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.639214711 +32305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.265376345 +32308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.449067582 +32306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.111803 +32309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.049882723 +32310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.075847723 +32312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.374746043 +32311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.574916797 +32307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.602852673 +32313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.601986499 +32314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.095568856 +32315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.806564168 +32316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.716381186 +32317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.581584859 +32319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.656573854 +32318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.21806984 +32320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.28968364 +32321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.063516274 +32322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.54965978 +32323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.046520456 +32324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.049263086 +32325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.405908414 +32326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.154355936 +32327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.093174332 +32329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.393856018 +32328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.988364784 +32330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.193665068 +32331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.711770478 +32332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.06763113 +32333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.521171856 +32335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.238592015 +32334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.539122432 +32336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.344193747 +32339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.997032551 +32338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.180916643 +32340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.19932452 +32342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.516442392 +32341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.237805435 +32343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.444553557 +32337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 2.344208242 +32344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.051678267 +32345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.11804213 +32346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.640291165 +32348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.126224812 +32347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.946073753 +32349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.01490461 +32350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.535926494 +32352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.398776328 +32351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.989015976 +32353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.923723897 +32354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.541430768 +32355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.250961807 +32358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.564957937 +32357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.362268031 +32356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.005569166 +32359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.648500572 +32361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.507100172 +32362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.009931261 +32363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.913778794 +32360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.217194402 +32365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.294263401 +32366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.702772127 +32364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.117878201 +32367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.596683399 +32369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.080455382 +32368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.776757917 +32370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.01239043 +32372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.073886888 +32373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.133502017 +32374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.858932972 +32375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.612816551 +32371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.70242619 +32376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.186821767 +32377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.120069973 +32378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.820845968 +32379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.811996719 +32381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.479801247 +32382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.37014692 +32380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.97142089 +32383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.825265361 +32385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.13124547 +32384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.624710496 +32386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.223086657 +32389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.437518556 +32387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.947075681 +32390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.775856848 +32388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.430760638 +32391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.149642843 +32393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.89581461 +32392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.796894013 +32394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.463317026 +32396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 2.534890236 +32395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.215465787 +32397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.574196681 +32398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.265391279 +32399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.489334973 +32400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.402719982 +32401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.933555376 +32403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.045018888 +32402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.344845898 +32404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.153989838 +32406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.381289975 +32405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.973377993 +32407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.453148445 +32409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.629056761 +32408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 2.025468862 +32410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.550994503 +32411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.23316551 +32412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.764087574 +32413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.217031866 +32414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.195683918 +32417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.2007659 +32419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.62570618 +32416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.158033677 +32418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.097707817 +32415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.354336453 +32420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.054843697 +32421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.370025636 +32423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.32195496 +32422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.002263618 +32424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.438236571 +32425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.273598773 +32428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.458148372 +32427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.748527289 +32426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.02271755 +32430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.993047158 +32429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.439833102 +32432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.518810692 +32431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.863380972 +32433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.138186029 +32435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.662871784 +32436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.646244508 +32434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.352507165 +32438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.326417332 +32437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.244947936 +32440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.160551605 +32441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.569432621 +32439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.770770458 +32442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 2.075042821 +32446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.58681912 +32444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.162142253 +32443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.092562824 +32447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.201798288 +32448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.058831052 +32449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.887513082 +32445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 2.088692677 +32451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.818072383 +32452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.792561572 +32450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.718183389 +32454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.504939402 +32453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.024441569 +32455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.313403703 +32457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.648877479 +32456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.825957048 +32459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.363230063 +32462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.526441924 +32461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.009645078 +32460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.294449581 +32463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.369072696 +32458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.195591988 +32465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.193946201 +32464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.085450053 +32466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.312843031 +32467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.074227139 +32470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.848104401 +32468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.200936894 +32469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.486815518 +32472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.019265809 +32471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.437062539 +32473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.9174414 +32474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.927829554 +32475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.163770596 +32476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.900089814 +32477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.571510863 +32481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.488447917 +32479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.576865628 +32478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.39365584 +32480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.529802345 +32482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.683861683 +32483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.08849536 +32484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.868264806 +32485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.763504391 +32487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.834885034 +32486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.464051734 +32489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.680566893 +32488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.75880159 +32491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.776758471 +32490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.670667675 +32492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.752718041 +32493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.422011227 +32494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.80427992 +32495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.477495152 +32496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.463641542 +32497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.260698511 +32498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.281598048 +32499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.268371217 +32500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.813084863 +32502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.530729959 +32501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.177109883 +32503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.070987208 +32504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.441406457 +32505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.308569332 +32507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.052488895 +32506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.102995641 +32508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.248548172 +32510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.499651036 +32509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.153480401 +32511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.369953399 +32512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.508396473 +32513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.373859761 +32516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.791717362 +32515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.1546568 +32514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.968693262 +32519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.129056497 +32518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.915323624 +32517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.16047014 +32520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.437426866 +32522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.005676805 +32523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.641750706 +32524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.025097714 +32521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.134809392 +32525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.815170793 +32526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.31036417 +32527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.399316552 +32528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.623662932 +32529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.232524064 +32531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.077942083 +32532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.179314995 +32530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.376246443 +32534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.642465916 +32533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.254622478 +32535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.05275139 +32536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.670832934 +32537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.92857385 +32538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.328452746 +32542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.343253659 +32541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.79154755 +32540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.441517335 +32539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.417781088 +32543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.199274797 +32545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.972698057 +32546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.264946534 +32544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.336846104 +32549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.820045379 +32547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.401018009 +32548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.245475631 +32551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.529465801 +32550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.798370056 +32552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.017490048 +32554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.503336806 +32556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.302312674 +32555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.984714293 +32557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.060410853 +32553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.271452112 +32558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.001177265 +32560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.982950615 +32559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.271253081 +32561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.014372267 +32562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.475910635 +32563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.965855435 +32564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.695078618 +32565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.732599518 +32566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.826055921 +32567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.097633126 +32568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.276752956 +32569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.241461771 +32570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.986409282 +32571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.864587021 +32572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.082739351 +32574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.453689472 +32575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.215097655 +32573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.842470795 +32576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.732635641 +32577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.107732955 +32579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.334038933 +32578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.119189894 +32580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.827234579 +32581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.904840354 +32583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.52862398 +32582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.10295545 +32585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.753606591 +32586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.432573589 +32584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.664686578 +32587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.318778244 +32589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.884469135 +32588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.904714539 +32591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.720398104 +32590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.085891617 +32592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.19987885 +32593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.558145277 +32595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.561216886 +32594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.314262597 +32596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.332840291 +32598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.139116978 +32597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.448664287 +32600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.206166587 +32599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.336150887 +32601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.53677791 +32602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.664676243 +32604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.520791563 +32605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.613986309 +32603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.905032516 +32607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.846623763 +32608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.685253399 +32606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.553118295 +32609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.686674094 +32610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.221813541 +32612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.0735151 +32611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.003588933 +32614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.401618058 +32613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.728354284 +32615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.364234384 +32617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.56088492 +32616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.226440322 +32618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.303799518 +32619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.781964556 +32620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.574964172 +32621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.201110885 +32623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.079596934 +32625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.084351781 +32624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.60062223 +32622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.852553425 +32626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.384999418 +32627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.397236876 +32628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.90033971 +32629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.106917492 +32632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.346662227 +32630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.032973331 +32633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.114440448 +32631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.428847289 +32634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.271746574 +32635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.19475363 +32636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.347347808 +32637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.332550441 +32638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.705414866 +32639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.384978018 +32640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.324051969 +32641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.705148573 +32643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.981103179 +32645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.137019032 +32644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.083328674 +32646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.132894506 +32647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.466659778 +32642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.634776095 +32649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.031648073 +32650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.307008008 +32652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.784586769 +32653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.594364012 +32648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.767611024 +32651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.902774759 +32654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.496608746 +32655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.295778397 +32656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.382378252 +32657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.542216606 +32659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.679188262 +32660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.551776389 +32661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.254047772 +32662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.323881728 +32663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.084598223 +32658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.519854936 +32664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.504555573 +32665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.429957517 +32666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.209604087 +32668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.139108329 +32670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.336609252 +32669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.290178895 +32671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.55966919 +32667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.154818231 +32672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.185231558 +32674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.126917881 +32673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.620097909 +32675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.113327736 +32676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.375108773 +32677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.134015923 +32678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.908006857 +32679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.128305405 +32680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.436230386 +32681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.143821856 +32683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.888917334 +32682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.440363934 +32684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.519864552 +32685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.286755122 +32686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.245769411 +32688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.933442455 +32689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.110288661 +32690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.41959012 +32691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.137982851 +32687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.432482 +32692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.718119442 +32693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.009315366 +32694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.599212493 +32695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.524498045 +32696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.773156358 +32697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 2.352612393 +32698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.652287102 +32700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.785606776 +32701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.786388784 +32699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.770962699 +32702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.878265101 +32703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.057411583 +32704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.342083193 +32705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.244888735 +32706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.942134724 +32707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.221959973 +32708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.254638023 +32710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.749075518 +32711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.566706269 +32709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.655423607 +32712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 2.057556615 +32713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.226822226 +32714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.245436272 +32715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.867152732 +32716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.95853745 +32718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -3.316661456 +32717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.463631948 +32720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.720141498 +32719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.092553797 +32721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.116322565 +32722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.134608601 +32723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.184387939 +32724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.500719893 +32725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.241493576 +32726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.307974334 +32729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.105471923 +32727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.847869279 +32730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.499373413 +32731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.195015853 +32728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.667670199 +32732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.323073879 +32734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.589488865 +32733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.632647204 +32735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.360496468 +32736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.511194757 +32737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.867014642 +32738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.782044959 +32740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.707464296 +32739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.322477648 +32741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.577098751 +32742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.110331531 +32743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.001086678 +32744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.283845006 +32745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.518145888 +32746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.889406462 +32747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.010015606 +32749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.863171169 +32750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.704500555 +32751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 2.356685426 +32752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.278538081 +32753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.780693243 +32748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.649880733 +32754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.227145713 +32755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.784705314 +32756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.34517385 +32759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.969435861 +32758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.612521704 +32757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.989593033 +32760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.30844991 +32761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.649727064 +32762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.428474323 +32763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.019692375 +32764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.762156034 +32765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.188932859 +32767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.385712214 +32766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.040771158 +32768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.026814795 +32770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.548690393 +32769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.499164457 +32771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.68779167 +32773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.984813776 +32774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.422531888 +32772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.112834202 +32775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.275667326 +32777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.223209263 +32776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.243463929 +32778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.801254091 +32779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.995216697 +32780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.859585531 +32781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.236975616 +32782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.1846175 +32783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.530933829 +32785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.282526553 +32784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.111667736 +32787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.507905591 +32788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.529574886 +32789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.339411948 +32786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.194780439 +32791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.144560345 +32790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.180552129 +32792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.32982249 +32793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.664956764 +32794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.839555058 +32795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.276580487 +32796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.465661613 +32798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.950833129 +32797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.214188755 +32799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.750162563 +32800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.750391304 +32802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.140673365 +32804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 2.407727225 +32803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.830828508 +32801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.678253242 +32805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.831931461 +32806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.402319212 +32807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.698714354 +32808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.160887992 +32809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.042598235 +32811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.953582348 +32812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.25141116 +32813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.668962011 +32810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.205643384 +32815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.138585364 +32814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.197100902 +32816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.324788945 +32817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.798320165 +32819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.738111935 +32818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.627177901 +32820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.744847427 +32821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 2.632941479 +32822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.514493367 +32824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.917853297 +32826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.300391006 +32825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.339796438 +32823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.044882759 +32828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.527249109 +32827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.325512267 +32829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.267825849 +32830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.493345737 +32831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.158474259 +32833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.779393588 +32832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.279294023 +32835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.085266755 +32836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.331612875 +32834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.8741521 +32837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.263523651 +32838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.915459601 +32839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.391578732 +32840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.25751548 +32843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.194256738 +32841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.145926645 +32842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.235959756 +32845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.116405883 +32846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.04334622 +32844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.741109222 +32847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.360437324 +32848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.533655976 +32849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.804173067 +32850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.488375821 +32851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.245560382 +32852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.411591458 +32853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.501317428 +32854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.497383665 +32855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.343398887 +32856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.952884838 +32857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.395430193 +32858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.816247435 +32860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.475769536 +32859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.78244061 +32861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.476947271 +32865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.780457335 +32866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.334968905 +32864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.519486035 +32867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.237053052 +32863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.717682169 +32868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.239984197 +32862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.401436348 +32869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.562130726 +32873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.579051293 +32872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.00297409 +32871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.878306246 +32874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.91716949 +32875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.432204836 +32870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.156368032 +32876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.339158928 +32877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 2.311248652 +32880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.605069935 +32878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.380611194 +32882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.940773704 +32879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.166762106 +32881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.241429309 +32883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.206527367 +32884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.204377282 +32885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.78765784 +32886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -3.21774248 +32888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.59994021 +32891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.26770021 +32887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.955009848 +32889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.35203011 +32892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.726002968 +32890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.802925721 +32893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.720432663 +32894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.712223306 +32896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.512509011 +32895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.634818574 +32897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.386905944 +32898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.571507981 +32900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.997753349 +32899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.567193008 +32901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.057797464 +32902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.435959518 +32903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.40948306 +32904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.518915364 +32905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.194950718 +32906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.087005627 +32909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.967594383 +32907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 2.002647706 +32908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.29553073 +32911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.523743547 +32912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.844051253 +32913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.844650061 +32914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.466089823 +32910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -3.100776864 +32915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.21154346 +32916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.880662815 +32918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.640302242 +32919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.888795837 +32920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.72124815 +32921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.982610974 +32917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.180238997 +32922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.253757195 +32923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.701201237 +32924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.380592996 +32925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.783694713 +32926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.569605005 +32927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.948309801 +32928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.372785501 +32929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.267767072 +32930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.959086148 +32933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.339754389 +32934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.870173062 +32935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.860642323 +32931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.16836089 +32932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.55527901 +32936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.919469337 +32939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.420975415 +32940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.470772696 +32942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.0674737 +32937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.207527495 +32941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.620809224 +32943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.200161384 +32944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.484366802 +32945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.433773882 +32946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.687299787 +32948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.056602727 +32938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.723660133 +32949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.429933341 +32950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.441144106 +32951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.808285302 +32947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.628473333 +32952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.044047837 +32956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.987902354 +32954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.123805535 +32955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.659925585 +32953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.071196888 +32957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.136294741 +32959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.78427289 +32960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.989848764 +32961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.278232821 +32962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.295608742 +32964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.534322487 +32963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.767241351 +32966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.339548027 +32965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.264231072 +32958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.025003979 +32967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.168741957 +32968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.063973152 +32969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.245956664 +32970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.699062109 +32971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.731870664 +32973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.309972715 +32972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.966975335 +32974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.820824763 +32975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.973348723 +32976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.204467624 +32978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.876194378 +32979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.397356671 +32980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.766714934 +32981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.121084356 +32977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.617046772 +32984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.533355076 +32983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.220101216 +32982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.942987517 +32985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.974008126 +32986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.576997371 +32989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.81999349 +32987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.188904686 +32990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -2.120380149 +32991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.336755011 +32992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.718356143 +32993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.005132595 +32994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -1.595223488 +32988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.816178511 +32997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.152474455 +32998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 1.063141849 +32999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.011404001 +32996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.469432026 +33000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.670421034 +32995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.912002017 +33001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -2.342911955 +33003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.725427401 +33004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.499435764 +33002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.033410074 +33005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.437347684 +33007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.449374225 +33006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.590823639 +33008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.316602722 +33009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.201446358 +33011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.503358229 +33013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.592644929 +33014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.277559816 +33015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.082239367 +33010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.70646135 +33012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.798751069 +33016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.004388668 +33017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.380180148 +33018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.592014296 +33020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.164366081 +33019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.674102749 +33021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.135816591 +33022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.860854685 +33023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -2.325465368 +33024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.78686945 +33025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.288206664 +33026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.048457442 +33027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.72837756 +33028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.07370166 +33030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.018243482 +33029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.718168653 +33032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.112260022 +33033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.808088839 +33031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.386598189 +33034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -2.397850667 +33035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.670401399 +33036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.479069674 +33037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.938689441 +33038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -2.479715891 +33040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.571133184 +33039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.72321091 +33042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.017634782 +33041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -2.30653051 +33043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.9905535 +33046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.361062296 +33044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.409389282 +33047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.118465416 +33049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.724095837 +33048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.047342961 +33051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.209916869 +33045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.432852622 +33052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.503865223 +33053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.626655075 +33054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.148598562 +33055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.047976419 +33050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.250789134 +33056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.315203899 +33057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.060762784 +33058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.089320169 +33059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.410107576 +33060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.239039599 +33062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.707053042 +33061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.44724456 +33063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.62251742 +33064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.408709413 +33066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.316741837 +33065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.854458466 +33068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.451613813 +33069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.847098951 +33067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.167881537 +33070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.595666742 +33072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.682230424 +33071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.677179598 +33074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.335620863 +33073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.105622328 +33077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.316461853 +33075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.485506716 +33076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.140937401 +33078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.491276255 +33079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.214900229 +33081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.691420422 +33080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.63532629 +33082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.489288606 +33085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.526311449 +33084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.102006581 +33087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.109910574 +33086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.793186298 +33083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.590588726 +33088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.637151092 +33090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.050338582 +33091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.234687687 +33092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.790728858 +33093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.494482789 +33095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.815350016 +33089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 2.11577253 +33094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.985362905 +33097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.289853202 +33096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.179234713 +33099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.944409352 +33098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.021509726 +33100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.202090963 +33101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.182574022 +33103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.50517575 +33102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.532843511 +33104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.036862086 +33105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.762651801 +33107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -2.241592054 +33106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.818365416 +33108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.701554964 +33109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.536371514 +33111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.291876078 +33110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.040977994 +33113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.021700101 +33112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.739370509 +33116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.785711242 +33114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.787760845 +33117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 2.079145678 +33115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.142101227 +33118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.044462811 +33119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.644458661 +33121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.044497966 +33123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.273613895 +33122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.023965024 +33120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.052840497 +33124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.07924952 +33125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.703917929 +33126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.033215869 +33128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -2.374590208 +33129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.573267453 +33130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.175141196 +33127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.461548203 +33131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.325444993 +33132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.264429623 +33134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.703240147 +33133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.625981929 +33135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.733580962 +33137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.182985301 +33138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.32051555 +33140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.591812009 +33136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.161319326 +33139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.014308488 +33142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.510185821 +33141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.854614362 +33143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.581776852 +33144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.683405654 +33147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.265851019 +33148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.4088635 +33150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.253730026 +33145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.365938303 +33146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.667205625 +33151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.476823669 +33149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.434869133 +33152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.773011645 +33154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.503651945 +33153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.558749712 +33155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.257813601 +33156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.452619945 +33157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.258105389 +33158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.737650292 +33159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.949560006 +33160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.922013939 +33161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.229985279 +33163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.666410045 +33162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.317538397 +33166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.320511939 +33167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.365103932 +33168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.022782938 +33165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.264431932 +33164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.212922139 +33170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.628759291 +33169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.57054405 +33171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.715570932 +33172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.571379033 +33174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.60039646 +33175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.007944848 +33176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.005298376 +33173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.853126114 +33178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.056301013 +33177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.31879193 +33179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.240156112 +33180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.128420067 +33181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.477430095 +33182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.176794078 +33183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.59146059 +33184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.37907452 +33185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.929201449 +33186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.223444562 +33187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.843186283 +33188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.149441376 +33189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.601371083 +33190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.108027353 +33191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.171184762 +33193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.020880878 +33195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.939776455 +33194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.677007324 +33192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.265191059 +33197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.443932463 +33196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.560615364 +33198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.236119726 +33199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.518093257 +33202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.924469287 +33200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.411473342 +33201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.698587822 +33203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.18267172 +33204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.795296578 +33205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.944161478 +33206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.705211038 +33207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.624172966 +33208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.08256261 +33209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.93371379 +33210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.561241644 +33212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.066955129 +33213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.167020125 +33214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.261633682 +33211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.609346589 +33215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.392557878 +33216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.221666579 +33218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.69669253 +33219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.985768303 +33217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 2.08666153 +33220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.0665555 +33221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.284980022 +33224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.360165925 +33223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.295419808 +33222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.053441999 +33225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.520851687 +33226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.064179072 +33227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.066629231 +33228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.523117671 +33229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.875669512 +33230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.234176912 +33231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.184426893 +33232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.967243819 +33233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.123700305 +33234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.190517916 +33236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.340701075 +33237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.24155375 +33238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.248265747 +33239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.005249118 +33235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.432406223 +33240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.602763764 +33241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.279774839 +33243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.833843145 +33244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -2.060376204 +33246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.327176227 +33242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.846686226 +33245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.437199657 +33247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.895790865 +33249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.053153278 +33248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.606071522 +33250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.917183292 +33251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.041921028 +33253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.43718689 +33252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.466559774 +33255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.180600776 +33254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.118411366 +33256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.064755098 +33258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.023350912 +33257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.109773662 +33259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.33587016 +33261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.25549735 +33260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.502402947 +33262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.302181258 +33263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -2.717885106 +33264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.537252891 +33265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.961139261 +33266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.378126693 +33267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.227710547 +33271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.19979089 +33270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -2.228921249 +33268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.793611872 +33269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.136392027 +33273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -2.308451095 +33275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.857534595 +33272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.595409073 +33276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.453503662 +33278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.359188518 +33274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.208660547 +33279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.46288428 +33277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.554487133 +33280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.889375289 +33281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.181102384 +33282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.924371287 +33283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.894725974 +33284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.701066356 +33286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.667371945 +33285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.34981578 +33287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.404788337 +33288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.469423659 +33289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.050408951 +33291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.071905325 +33290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -2.32690102 +33293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.136922493 +33292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.179373629 +33295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.248323541 +33296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.942519304 +33297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.010494514 +33298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.952007625 +33299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.659798062 +33294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.979229089 +33301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.43988951 +33300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.258720071 +33303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.81885084 +33302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.001995655 +33304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.273139257 +33305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.855144386 +33306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.706205229 +33307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.612812475 +33309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.544111562 +33308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.728322822 +33310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.162826128 +33311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.766034975 +33313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.028280291 +33312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.699155106 +33316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.105025232 +33317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.28388569 +33314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.277047164 +33318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.519098291 +33320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.313552677 +33321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.668326984 +33315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.771582162 +33319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.435078772 +33322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -2.044646592 +33323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.870642549 +33324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.083243163 +33325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.052287012 +33327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.57661047 +33326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.534598352 +33328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.620220083 +33329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.473930125 +33330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.097353984 +33331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.305601254 +33333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.054923127 +33335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.398306595 +33334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.93848553 +33332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.193875517 +33338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.166527616 +33337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.610047079 +33339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.228895713 +33336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.639567137 +33340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.758409866 +33341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.368005741 +33342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.126070506 +33343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.035439953 +33344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.614323492 +33345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.463349656 +33347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.694772131 +33348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.684998095 +33349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.200007713 +33350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.229732111 +33346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.273326638 +33351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.732907867 +33352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.932805542 +33353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.589251864 +33355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.518347953 +33354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.187098959 +33356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.342640024 +33357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.943764619 +33358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.573102431 +33359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -2.37520808 +33362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -2.97975938 +33361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.519024091 +33364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.074097605 +33360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.203712886 +33365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.765660323 +33366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.196251367 +33367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.155001618 +33363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.702445086 +33368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.09443882 +33370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.067166721 +33369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.493048414 +33371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.159163025 +33372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.997155761 +33373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.561101208 +33376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.723349442 +33374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.451125457 +33377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.437915437 +33380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -2.40363315 +33375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.270979682 +33378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.876007108 +33379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.864120991 +33381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.289050894 +33382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.041359212 +33384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.290458565 +33383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.989140202 +33385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.606511431 +33386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.574412841 +33388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.010318095 +33387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.018465424 +33389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.624539379 +33390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 2.230133634 +33391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.813186347 +33392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.848012414 +33394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.385748892 +33393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.675314824 +33395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.67230268 +33396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.755633091 +33398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.239684684 +33397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.819023694 +33399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.111496727 +33400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.821921445 +33402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.199190035 +33405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.11718491 +33403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.705937448 +33401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.424568522 +33404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.192734797 +33406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.251294632 +33407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.454735064 +33408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.455344764 +33409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.041447072 +33410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.091210573 +33412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.068492214 +33411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.905153618 +33414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.457641922 +33413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.724946617 +33415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.066147763 +33416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.277843817 +33417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.177423576 +33418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.397096862 +33421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.257716473 +33423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.630114542 +33419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.045469946 +33420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.868676492 +33424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -2.265346332 +33425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.590359314 +33422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.024884748 +33426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.054124433 +33427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.057992274 +33428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.334005571 +33429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.487717715 +33430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.652083029 +33431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.458203769 +33432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.615705723 +33433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.08939079 +33434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.448317095 +33435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.460399354 +33436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.302624759 +33437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.182454672 +33438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.189676465 +33439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.293255356 +33440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.765306581 +33441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.026224393 +33443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.627042782 +33444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.17529084 +33445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.122871749 +33442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.892363786 +33446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.755538129 +33447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.955500303 +33448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.131392653 +33449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.021648526 +33452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.654936112 +33451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.095386065 +33450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.205472796 +33453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.041488588 +33454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.764581883 +33457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.539947734 +33456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.839527858 +33455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.125685112 +33459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.002180309 +33458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.291836973 +33460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.394109991 +33461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.114277704 +33464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.50630908 +33463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.222769997 +33462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.686781084 +33465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.273288815 +33466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.850263343 +33467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -2.669410111 +33469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.041400475 +33468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.852568574 +33471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.235165825 +33472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.497665213 +33470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.904582477 +33473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.363642969 +33474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.473080081 +33475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.129347196 +33476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.885016445 +33477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.489312358 +33479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.687719768 +33480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.198056947 +33478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.18185188 +33482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.132680551 +33481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.648190597 +33483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.118958185 +33484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.692894497 +33485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.539445915 +33486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.432848708 +33488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.811658632 +33489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.340271364 +33487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.156330768 +33491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.822424269 +33492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.194318784 +33490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.626520092 +33496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.707526299 +33494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.719063204 +33493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.507070902 +33495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.525163666 +33497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.598210657 +33498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.345533499 +33499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.055003153 +33502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.600155888 +33503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.421587838 +33500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.443535192 +33504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.162017976 +33505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.774795125 +33501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.374159071 +33506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.262147808 +33507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.777840407 +33508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.061607379 +33511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.046667891 +33509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.422795815 +33510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.644615395 +33512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.235740048 +33513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.047408808 +33514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.612646986 +33516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.062280686 +33518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.91561636 +33517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.479375614 +33520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.292108875 +33521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.537668002 +33515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.981754368 +33519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.704120824 +33522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.851488288 +33523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.257065449 +33525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.059750749 +33524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.553787363 +33527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.459861124 +33528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.103090481 +33526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.733059924 +33530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.592684589 +33529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.59666543 +33532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.562536114 +33533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.076862635 +33531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.647109501 +33534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.480909275 +33535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.897941683 +33536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.387516596 +33537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.888028275 +33539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.23239242 +33540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.290795658 +33541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.187967602 +33543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.447372068 +33544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.010671821 +33538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.873235625 +33542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.746816726 +33546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.180812817 +33545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.673112016 +33547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.037301045 +33549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.220465518 +33548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.086959872 +33550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.595039056 +33552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.128381815 +33551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.117105802 +33553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.079597545 +33555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.022728669 +33554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.580063805 +33556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -2.063889958 +33557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.604884251 +33558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.049820135 +33559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.863242258 +33560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.474713235 +33561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.358092051 +33562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.755655507 +33564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.758577628 +33566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.731983106 +33565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.260163977 +33563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 2.205923329 +33567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.377140644 +33571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.564742869 +33570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.518773716 +33569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.119470828 +33572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.729581735 +33568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 2.085209784 +33574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.321983128 +33575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.699538973 +33573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.695122856 +33576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.364386596 +33578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.339228248 +33579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.916440709 +33577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.879139938 +33581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.091421542 +33582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -2.077835357 +33583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.674940923 +33580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.71763437 +33584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.872211572 +33585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.22100984 +33587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.76956799 +33588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.571122977 +33586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.469630441 +33589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.247853682 +33590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.680207467 +33591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.152306743 +33593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.076342621 +33592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.159941165 +33594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.591479679 +33595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.819963761 +33596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -3.25636167 +33598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.936744769 +33597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.331099551 +33600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.57708786 +33602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.235824894 +33601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.515272636 +33603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.829210864 +33604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.21134977 +33599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.620205884 +33605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.444711846 +33606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.13377759 +33608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.254126366 +33607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.417047368 +33609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.271061692 +33611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.217818131 +33610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.032998547 +33613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.715593821 +33614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.64977067 +33615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.237487776 +33616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.982826166 +33617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.613368815 +33618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.640703491 +33612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.278468051 +33619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.848592207 +33620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.062744402 +33622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.088728338 +33623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.344887604 +33621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.899323687 +33624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.998120564 +33625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.498246059 +33626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.22638475 +33627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.828414186 +33628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.041143441 +33629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.548823837 +33630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.616916112 +33631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.105013744 +33632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.560170681 +33634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.359531299 +33635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.841581252 +33636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.555779978 +33633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.818617155 +33640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.016943224 +33638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.991047239 +33639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -2.577679072 +33637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.764157325 +33641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.730700037 +33642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.010107121 +33643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.344209889 +33646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.891435536 +33644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 2.318881321 +33645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.116946775 +33647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.884295049 +33648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.715964726 +33649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.116790245 +33650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.414420726 +33651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.305795205 +33653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.296277268 +33654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.463572603 +33652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.338648993 +33655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.957352394 +33656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.861124483 +33657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.255108559 +33659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.076395707 +33658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -2.478369637 +33662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.010464588 +33660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.391477705 +33663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.369181052 +33661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.294501485 +33664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.329889728 +33667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.527942585 +33665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.28397047 +33669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.613089614 +33668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.324711668 +33670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.142808615 +33666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.86298202 +33672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.072911779 +33671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.254048683 +33673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.012881505 +33674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.586645923 +33677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.433644197 +33675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.366228308 +33678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.671758209 +33679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.163640163 +33676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.191205507 +33680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.494859948 +33682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.910225256 +33685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.535926024 +33684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.080253282 +33683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.555948412 +33686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.301977353 +33687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.373577579 +33681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.451828164 +33689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.732350633 +33690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.701710225 +33692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.026754646 +33691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.938055625 +33693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.576694359 +33688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.109443278 +33694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.203802716 +33695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.667604006 +33696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.797307224 +33698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.327337536 +33697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.077726935 +33699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.053295984 +33700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.177178864 +33701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.895659504 +33702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.755068844 +33703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.89840352 +33705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.646711511 +33706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.743295328 +33707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -2.117374497 +33708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.336878198 +33704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.352059285 +33710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.564760302 +33711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.88267996 +33709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.947227818 +33714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.474266426 +33713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.384558519 +33712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.892936342 +33715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.366302972 +33716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -2.227075295 +33717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.407259555 +33718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.816701425 +33720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.662179074 +33719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -2.712267602 +33721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.353181293 +33722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.236049394 +33723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.213168923 +33725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.190658799 +33726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.036425524 +33724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.338387884 +33727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.427696302 +33729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.960669048 +33731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -2.074751203 +33730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.676740577 +33728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.398214864 +33733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.265552875 +33734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.172596437 +33732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.786495957 +33736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.065159499 +33735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.997359241 +33737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.551211901 +33738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.132953114 +33739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.349313989 +33741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.248525079 +33742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.042742963 +33740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.312808012 +33743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 2.49236156 +33744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.059178293 +33745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.064947351 +33746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.815552937 +33748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.347497905 +33750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.945655036 +33751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.416869699 +33747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.0123497 +33752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.416596358 +33754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.56705321 +33749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.876149259 +33753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.541788932 +33755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.217699493 +33756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.138372373 +33757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.00734619 +33758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.132970919 +33759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.890474408 +33760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.973710978 +33761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -2.003908699 +33762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.352955174 +33763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.831038833 +33764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.769189475 +33765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.071153999 +33766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.306078748 +33768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.731896758 +33770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.1917307 +33767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -2.800507363 +33769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.330288449 +33772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.545733658 +33771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.715704147 +33773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.193961947 +33774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.072713337 +33776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.860046074 +33775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.609255179 +33778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.527553355 +33777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.381283303 +33781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.011915036 +33782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.422601948 +33779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.019151154 +33780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.726154183 +33783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.011776678 +33784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.663536834 +33785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.247359842 +33786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.497327794 +33787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.060008059 +33788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -2.405837082 +33790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.721502133 +33789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.649030687 +33791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -3.091481706 +33792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.720417908 +33793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.685203707 +33794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.367504419 +33796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.594309088 +33800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.226259126 +33797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.486635182 +33799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.891426809 +33801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.149196657 +33798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.785970717 +33795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.312372526 +33802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.577582368 +33804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.316133244 +33805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.26520251 +33806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.642969562 +33807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.505378689 +33808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -2.179980264 +33809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.053525447 +33803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.850130099 +33810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.841711037 +33811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.229864624 +33814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.770195887 +33812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.430733051 +33815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.889818182 +33816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.173924321 +33813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.704998235 +33817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.353403775 +33818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.911408907 +33819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.200306157 +33820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.336559686 +33824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.076391658 +33823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.298839169 +33825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.018453501 +33822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.573421626 +33827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.134873267 +33826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.507793387 +33828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.037795004 +33821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.507220589 +33831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.642402935 +33832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.783925701 +33830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.568006943 +33829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.989606517 +33834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.334458675 +33833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.572975542 +33835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.717621869 +33836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.635209824 +33839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.336066109 +33837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.391466928 +33840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.718111701 +33838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.538223549 +33841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.384481273 +33842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.250130639 +33843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.193598465 +33846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.848632781 +33847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.412550167 +33845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.469355974 +33848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.767204603 +33849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.705277918 +33850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.8614609 +33844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.389436743 +33851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.512080164 +33852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.462708729 +33854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.774950829 +33855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.595306365 +33853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.304780866 +33857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.598896245 +33856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.558769378 +33859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.338548163 +33858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.804771353 +33860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.392511923 +33863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.548303529 +33862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.252831193 +33864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.205613331 +33865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 2.456893696 +33861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.540039899 +33866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.324938996 +33868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.220459567 +33867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.353595283 +33871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.226969886 +33870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.792948148 +33872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.506944547 +33873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.394840887 +33869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.959100371 +33874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.183588252 +33875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.559813277 +33876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -2.923240324 +33877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.006789384 +33878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.103104046 +33879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.219718019 +33880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.6277826 +33881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.386645494 +33882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.714702367 +33883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.074151482 +33885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.361961247 +33886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.020866838 +33887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.893941343 +33889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.900590292 +33888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.879846001 +33890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.192351722 +33891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.611596652 +33884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.850713891 +33892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.769510826 +33893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.412783742 +33894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.112118356 +33895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.168047169 +33896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.051770191 +33897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.036351104 +33898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.902038106 +33899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.48506739 +33900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.89236599 +33901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.489080793 +33903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.857394046 +33902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.148092344 +33904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.628362967 +33905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.577117936 +33906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.57591313 +33907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.096240418 +33908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.461336791 +33909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.056403062 +33911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.069556713 +33910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.4884716 +33912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.189548882 +33913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.532722854 +33914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.261835282 +33915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.2027682 +33916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.020740706 +33917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.628730792 +33918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.375020788 +33919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.749641357 +33920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.076412101 +33921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.09618359 +33922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.027837715 +33923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.267237744 +33924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.675448315 +33925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.744169214 +33926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.750936676 +33927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.034244804 +33928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.902246854 +33929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.401584334 +33930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.936978388 +33932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.444231411 +33933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.394500529 +33931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.058802403 +33934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.592332956 +33936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.487541255 +33937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.288618721 +33935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.794778046 +33938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.866233791 +33939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.473840513 +33940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.348304002 +33941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.099148572 +33942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.424378277 +33944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.423645392 +33943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.28080753 +33945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -2.123923216 +33946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.492930887 +33947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.021204173 +33948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.314188879 +33951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.595337823 +33950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.303003606 +33952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.030797253 +33953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.794312102 +33949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.061222835 +33954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.238152247 +33955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.265008995 +33956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.032534955 +33958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.385711577 +33960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.028663738 +33959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.812056738 +33957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.505895774 +33961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.590233867 +33962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.617329958 +33963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.030552703 +33964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.751400994 +33966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.041188894 +33965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.05231697 +33968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.331456902 +33967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.062141509 +33970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.222103598 +33971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -2.229495421 +33969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.4679809 +33972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.309968759 +33973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.692981893 +33974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.534135252 +33975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.973985625 +33976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.786987104 +33977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.805770533 +33978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.974903845 +33979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.205928348 +33980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.843899208 +33982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.124948548 +33981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.356825616 +33983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.465844476 +33985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.788857281 +33984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.995288663 +33986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.947409559 +33988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.487436994 +33987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.451227411 +33989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.045271918 +33991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.4838247 +33990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.101125595 +33993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.928164574 +33992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.359809858 +33995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.647164403 +33994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.027667271 +33996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.183556438 +33997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.34869823 +33999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 1.220659881 +33998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.013395719 +34001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.241050135 +34000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.631279238 +34002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.790397839 +34003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.025284467 +34004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.513605734 +34005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.416186748 +34006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.331709244 +34007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.056863089 +34009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.998846225 +34008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.972427275 +34010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.306881864 +34011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.733849758 +34013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.201453249 +34014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.34010002 +34012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.760371326 +34015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.287271827 +34016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.015572411 +34017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.201395923 +34019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.701665637 +34018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.022551624 +34020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.084697226 +34021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.903844204 +34023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.292143166 +34022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.440549464 +34025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.493359449 +34024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.790759992 +34027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.304322574 +34026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.288957302 +34028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.286386184 +34029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.790010225 +34033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.712224043 +34030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.003719647 +34035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.105551948 +34032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.314145856 +34034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.75025259 +34031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.422740509 +34036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.50565019 +34037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.20010216 +34039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.862717042 +34038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.132101692 +34040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.473675807 +34042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.160603334 +34041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.408794778 +34043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.130221608 +34044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.438958611 +34045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.428979822 +34046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.400667544 +34047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.646730717 +34049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.223739682 +34050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.320304391 +34048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.307887447 +34052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.045964702 +34053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.417466576 +34051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.104664076 +34055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.508772013 +34054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.055932792 +34058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.729184058 +34056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.303769561 +34057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.405117661 +34059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.690583721 +34060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.786501521 +34061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.08832133 +34064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.523059038 +34062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.565412543 +34065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.384398495 +34063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.4892597 +34066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.487307401 +34067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.192504829 +34068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.589411096 +34071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.698159271 +34072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.226787349 +34074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.423752914 +34070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.46287455 +34073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.025821956 +34069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.390495379 +34075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.054194466 +34076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.439863047 +34077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.059087836 +34080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.359841415 +34079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.537830611 +34078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.26817958 +34081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.887062791 +34082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.316736678 +34083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.88817718 +34084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.527187752 +34086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.473813866 +34087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.450147235 +34085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.179616134 +34088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.404488686 +34089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.376045471 +34091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.297905888 +34092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.943558938 +34090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.870920429 +34093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.323205444 +34094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.048859387 +34096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.310912003 +34095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.378467894 +34097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.346156277 +34098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.087215224 +34099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.755432409 +34102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.672434046 +34101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.33734132 +34100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.315969299 +34103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.253544844 +34104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.217139068 +34105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.307678919 +34106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.281891935 +34109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.205410609 +34108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.07103311 +34107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.103991097 +34110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.823798451 +34111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.084555769 +34112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.268094346 +34113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.501474584 +34114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.049748695 +34115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.945787471 +34117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.340191932 +34116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.617728635 +34119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.395584947 +34120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.473183666 +34121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.320327185 +34118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.006493547 +34122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.241464247 +34123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.669758251 +34125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.558327809 +34124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.06133119 +34126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.078119147 +34128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -2.214252297 +34127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.082502028 +34129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.140071222 +34130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.357997061 +34131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.167577501 +34133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.77360242 +34134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.988122442 +34132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.147933139 +34135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.115342841 +34136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.046923545 +34137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.401123886 +34138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.345816428 +34139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.236560061 +34141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.075540022 +34140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.414712111 +34142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.008218463 +34143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.843712703 +34144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.677292335 +34146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.257788611 +34147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.413455703 +34145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.324713362 +34148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.372829502 +34149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.836398834 +34150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.188195995 +34151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.396158024 +34152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.810232528 +34153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.086522918 +34154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.868367405 +34157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.384845711 +34158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.381929669 +34155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.206986713 +34156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.576356874 +34159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.621618099 +34160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.242008414 +34161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.243275363 +34162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.271305731 +34164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.789860609 +34165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.789626482 +34166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.990402145 +34163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.47561839 +34167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.129130024 +34168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.124632834 +34169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.003140248 +34170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.222831204 +34171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.253219851 +34173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.493012522 +34174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.04124263 +34172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.672709946 +34175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.526798172 +34176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.130987152 +34177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.450857323 +34178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 7.42E-06 +34180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.352270723 +34179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.526282499 +34181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.515688021 +34183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.393790379 +34182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.912954472 +34185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.561852118 +34184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.1746967 +34186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.167819444 +34187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.349971018 +34188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.432584757 +34189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.289730923 +34190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.130822891 +34191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.355319839 +34192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.926357644 +34193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.971887297 +34194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.132080984 +34195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.319161791 +34196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.458071908 +34197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.269096321 +34198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.423417146 +34200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.620602605 +34201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.616464638 +34202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.778419878 +34203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.067312057 +34199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.54504931 +34204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.4324926 +34205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.173598521 +34206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.367348821 +34207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.134884864 +34208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.698507966 +34209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.027693406 +34210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.741093697 +34212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.305435625 +34211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.091913433 +34213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.881374783 +34214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.033054254 +34215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.184709156 +34217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.763271066 +34216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.059016257 +34218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.748006149 +34220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.617872298 +34221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.659839833 +34223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.904457131 +34222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.031029729 +34219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -3.481182727 +34225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.706066975 +34224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.815204961 +34226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.968294907 +34230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.246164661 +34228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.097233675 +34229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.124471787 +34227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.281103235 +34231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.777636199 +34232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.667393367 +34233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.456561662 +34234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.733145644 +34235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.153267067 +34237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.893200227 +34236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.26064668 +34238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.281491721 +34239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.493422384 +34241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.131267996 +34242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.176346263 +34240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.617021194 +34243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.195664505 +34245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.234806572 +34244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.119342705 +34247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.33717254 +34246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.532591664 +34248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.255052132 +34249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.7827304 +34250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.315990667 +34251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.357751318 +34253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.618791976 +34252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.613608685 +34254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.059790379 +34255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.368665209 +34256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.937993317 +34258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.417254441 +34257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 2.50604281 +34259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.407659501 +34261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.402939802 +34260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.728541075 +34263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.154456586 +34262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.13741901 +34264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.905085428 +34265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.215479581 +34267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.695922129 +34268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.179688166 +34266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.285469522 +34271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.760393613 +34269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.494445888 +34272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.016777072 +34270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.155199854 +34273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.060367525 +34274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.399592776 +34275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.43494792 +34278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.562779416 +34277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.754647971 +34276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.397073331 +34279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.488065998 +34280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.064902215 +34281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.398932767 +34283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.92631349 +34285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.213193437 +34282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.208229035 +34284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.541800561 +34287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.00834916 +34288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.103950097 +34286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.172095286 +34289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -2.440062694 +34290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.570953379 +34291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.20931127 +34293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.629746442 +34294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.906785583 +34292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.791336712 +34295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.411316258 +34296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.841402475 +34297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.652196056 +34298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.174547748 +34300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.077867243 +34299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.566859663 +34301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.31931033 +34303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.920052129 +34302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.872842971 +34304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.159613405 +34306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.190651822 +34305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.113880818 +34307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.275292564 +34308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.155361146 +34309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.327378886 +34310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.25937017 +34311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.795173813 +34313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.09187274 +34315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.170580413 +34312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.347701728 +34316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.027139245 +34317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.387483504 +34318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.556519536 +34319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.526699426 +34314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.993077039 +34320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -2.22938709 +34321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.061303156 +34323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.500012338 +34322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.218009594 +34324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.242485042 +34326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.089963897 +34327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.046729378 +34328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.299314803 +34325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.622081577 +34329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.306849899 +34330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.312212405 +34332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.191744066 +34333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.183758775 +34334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.144377575 +34336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.574069346 +34335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.569439386 +34337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.779299146 +34338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.214313327 +34339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.729615228 +34331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.077122813 +34341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.283470957 +34340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.616015596 +34342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.403642969 +34345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.429247125 +34344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.177694854 +34347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.124843081 +34343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.134357126 +34346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.959574965 +34349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.61252665 +34348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.443172349 +34350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.691227862 +34351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.827703459 +34352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.3946034 +34354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.271862655 +34355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.554734258 +34357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.679887321 +34353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.611034048 +34358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.974360288 +34359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.776913948 +34360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.412788466 +34356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.770677028 +34361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.010143752 +34363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.186576748 +34364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.023500276 +34362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.489953144 +34366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.115949189 +34367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.959261584 +34368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.273980809 +34365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.2371727 +34369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.693762011 +34370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.492579113 +34372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.677685594 +34374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.213237028 +34373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.483336831 +34375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.062706375 +34376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.506690598 +34371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.206189297 +34377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -2.048600205 +34378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.602894841 +34379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -2.132703393 +34380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.23934224 +34381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.67184236 +34383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.110875191 +34382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -2.313823705 +34384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.04254196 +34385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.141848696 +34386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.34328189 +34388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.076422612 +34389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.254837033 +34387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.031068591 +34391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.843159933 +34390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.33367917 +34393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.319735247 +34394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.919177869 +34392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.837248085 +34395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.902836681 +34396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.085850079 +34399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.636992278 +34397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.015057027 +34398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.540951783 +34400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.228842499 +34403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.209533576 +34402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.770530056 +34401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.127549671 +34404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.51714044 +34407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.507152916 +34405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.506282801 +34406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.675899901 +34408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.52521769 +34409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.667652338 +34411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.291948337 +34412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.77971234 +34413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.726966443 +34414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.018111904 +34410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.806877426 +34415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.981993028 +34416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.968287718 +34417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.756612082 +34418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.505806139 +34419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.642743123 +34421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.414100242 +34420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.299550314 +34423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.926092322 +34422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -2.262690367 +34425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.489161794 +34426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.353462725 +34424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.112874431 +34428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.553220295 +34429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.262001476 +34430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.051318153 +34427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.282969674 +34431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.047347279 +34432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.125877228 +34433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.2530282 +34434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.793203358 +34435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.09107867 +34436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.624679973 +34437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.22746714 +34438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.310509494 +34439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.086665781 +34442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.27594078 +34440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.34349611 +34443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.422683612 +34441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.08496676 +34445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.19375599 +34444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.244200443 +34446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.058978946 +34447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.325586647 +34450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.255760747 +34451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.125501015 +34452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.43403815 +34449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.781937121 +34453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.890174356 +34448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.696582147 +34454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.38748365 +34455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 2.158715161 +34457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.614197104 +34456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.475564359 +34458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.461236621 +34460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.484166865 +34462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.281997299 +34461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.449368524 +34459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.169726551 +34463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.558373885 +34465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.233900658 +34466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.130889718 +34464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.392620551 +34468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.587212365 +34467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.052938596 +34469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.591105227 +34471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.145978352 +34470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.338405428 +34472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.923252204 +34474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.081011926 +34476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.786102655 +34475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.454752523 +34473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.407145317 +34477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.058958523 +34478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.106580799 +34481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.928552835 +34480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.40410581 +34479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.338073176 +34483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.790877859 +34482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.345263663 +34484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.268564047 +34485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.116867089 +34486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.615001031 +34487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.280065393 +34488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.099482845 +34490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.920944201 +34489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.826613335 +34491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.384359011 +34492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.313089719 +34493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.540357103 +34494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.758396061 +34495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.532016177 +34496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.475274459 +34497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.710068565 +34498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.970579437 +34499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.401297935 +34501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.072840192 +34502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.220851397 +34504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.742069008 +34506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.426652614 +34505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.257763168 +34503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.843884126 +34500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.742172454 +34507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.209216636 +34508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.48175136 +34510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.25950632 +34511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.025443715 +34512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.464176032 +34513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.921738667 +34514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.02209606 +34509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.683596231 +34515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.43314295 +34516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.00802573 +34517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.449406959 +34518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.141684706 +34520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.539616495 +34522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.693150765 +34519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.406788241 +34521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.035069807 +34523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.646190424 +34524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.628027802 +34525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.049144618 +34527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.576534648 +34526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.904828394 +34529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.621884617 +34531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.948894232 +34528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.337748522 +34530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.406990066 +34532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.56984198 +34533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.403950389 +34534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.82910877 +34535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.927889618 +34536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.820102092 +34538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.347808923 +34540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.506771754 +34537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.319321772 +34541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.802331269 +34542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.964354047 +34543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.523896703 +34545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.961392515 +34539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.270096006 +34547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.952170875 +34546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.939539567 +34548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.283403288 +34544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.236085865 +34549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.413331587 +34550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.480671951 +34551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.580892633 +34552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.676163372 +34556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.515375908 +34555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.597187325 +34554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.860243658 +34553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.352092214 +34558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.30700456 +34557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.890689947 +34559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.520093976 +34561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.388717803 +34560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.938455094 +34562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.769703847 +34563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.101984142 +34565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.399614563 +34564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.802253017 +34566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.196609954 +34570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.177214454 +34571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.959958468 +34568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.070037303 +34572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.291955145 +34573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.093834505 +34574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.396218977 +34567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.586482541 +34569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.423618553 +34575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.41068313 +34576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.211556001 +34577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.455500088 +34578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.450445956 +34581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.099787196 +34580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.399527222 +34579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.125819238 +34582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.210073107 +34584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.521298043 +34583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.134476007 +34586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.454470173 +34585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.89906409 +34587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.297215083 +34588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.624734397 +34589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.10991507 +34590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.581584051 +34591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.513356858 +34592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.581541973 +34593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.817646893 +34594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.294638387 +34596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.489518443 +34595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.816497867 +34597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.145006627 +34598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.537670605 +34599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.664294086 +34601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.871866055 +34602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.178366132 +34600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.384000135 +34604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.794111077 +34603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.468208364 +34605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.579548646 +34607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.377572205 +34608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.219831097 +34609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.913045272 +34610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.262813188 +34611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.23326268 +34612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.715125169 +34613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.46751155 +34606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.398108829 +34614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.026975402 +34615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.061036445 +34616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.609574858 +34617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.98871817 +34618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.222708307 +34619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.600414467 +34620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.110835072 +34621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.798439218 +34622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.49969538 +34623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.53256312 +34624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -2.062002533 +34626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.220207586 +34627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.854598161 +34625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.656036226 +34628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.06832063 +34629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.499780385 +34630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.924306905 +34631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.737008228 +34632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.393394746 +34635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.053633992 +34634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.5697903 +34633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.364247614 +34636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.213748529 +34637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.305098139 +34638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.770916969 +34640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.103924595 +34639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.363043498 +34641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.467468164 +34642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.494286977 +34643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.239568361 +34646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.348302989 +34644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.220005788 +34645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.259806651 +34648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.163841898 +34650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.571883502 +34647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.022238034 +34649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.699812655 +34653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.503341642 +34654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.980998781 +34652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.212577809 +34651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.796023309 +34655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.883500956 +34657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.545056958 +34656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.866411109 +34658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -2.073874065 +34660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.160844989 +34661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.768923766 +34662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -2.688155228 +34663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.053502133 +34659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.667024982 +34665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.809019232 +34667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.124883851 +34668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.452107807 +34669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.086094698 +34664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.076853497 +34666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.170988262 +34671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.448081668 +34670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -2.496155913 +34672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.180311061 +34676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.667026127 +34674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.804432277 +34675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.455845575 +34673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.152690278 +34677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.353300512 +34679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.164874211 +34678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.456821458 +34680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.03535456 +34682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.134962949 +34683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.007803716 +34681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.772688185 +34684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.295471984 +34685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.677281509 +34686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.179539516 +34687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.681337146 +34688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.190976389 +34689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.79785218 +34691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.801350268 +34690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.043873769 +34692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.718913242 +34694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.530279455 +34695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.128026448 +34693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.358127653 +34697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.103516303 +34696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.150077361 +34698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.736977762 +34699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.255220186 +34700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.227882968 +34701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.31940591 +34702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.958308225 +34703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.638577327 +34705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -2.370592092 +34706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.717787752 +34704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.267477414 +34707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.682411951 +34708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.155128122 +34709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.766230732 +34710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.754815002 +34712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.446735587 +34713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.367363107 +34714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.551784069 +34711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.515402428 +34715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.144514268 +34717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.338523396 +34716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.228735693 +34718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.810798443 +34719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.486601595 +34721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.535816386 +34723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.290133071 +34722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.275904386 +34725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.851711314 +34724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.299651038 +34720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.162700182 +34726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.142765231 +34727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.76640847 +34728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.695248599 +34729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 2.081134112 +34732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.940323208 +34730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.645317379 +34733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.197689383 +34731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.328735637 +34734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.920018839 +34741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.844968355 +34738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.969589461 +34737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.214188962 +34740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.731923115 +34736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.058447472 +34735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.118618788 +34739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.569065551 +34742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.441368037 +34743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.939417575 +34744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.121412624 +34745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.848531856 +34746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.205311668 +34748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.107756982 +34747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.375128688 +34749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.209799346 +34750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.933521351 +34751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.388121628 +34754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.242251613 +34753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.295926007 +34752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.204660883 +34756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.108589408 +34755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.858723088 +34759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.146229752 +34758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.040738827 +34761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.208205532 +34760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.720643863 +34757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.12322644 +34762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.829403754 +34764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.32501802 +34763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.33651643 +34765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.444461044 +34766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.309820731 +34767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.358831053 +34769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.312251666 +34768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.131748675 +34771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.429646458 +34772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.301394441 +34770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.740713609 +34773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.708449493 +34775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -2.20548501 +34774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.070060287 +34777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.295606649 +34779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.583900281 +34778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -2.038034678 +34776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.392903813 +34780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.15032823 +34781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.328374239 +34782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.242946795 +34784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.312769326 +34786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.100683624 +34785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.62930743 +34788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.304031601 +34787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.708985969 +34783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.133530947 +34789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.144268145 +34790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.41578309 +34791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.579992303 +34792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -2.028580593 +34793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.070236786 +34794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.573669856 +34796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.69318862 +34797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.055393733 +34795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.244238426 +34798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.988608305 +34801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.376052716 +34799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.514535245 +34800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.188594694 +34802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.78687577 +34804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.071321148 +34803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.672671264 +34805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.248453477 +34808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.346225996 +34807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.965213691 +34809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.866475428 +34806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.335139226 +34810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.355310484 +34812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.031188365 +34811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.370699499 +34813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.590982226 +34815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.060991519 +34816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.187626924 +34814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.744962867 +34817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.967724636 +34818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.371201381 +34819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.724548984 +34820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.966467512 +34822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.108661988 +34823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.410412861 +34821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.71504754 +34825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.426562484 +34826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.362103692 +34824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.296469843 +34828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.109840747 +34827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.061967265 +34829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.252299241 +34830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.058697042 +34831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.010039273 +34832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.645387289 +34834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.019735661 +34835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.74371774 +34836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.895666151 +34833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.180686207 +34837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.028429226 +34838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.955099124 +34840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.017557913 +34841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.608147343 +34842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.67444162 +34844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.18475544 +34839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.631006427 +34845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.241862933 +34846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.843644228 +34843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.500682223 +34847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.191217445 +34848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.915621407 +34849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.903942342 +34852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.030863009 +34850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.478650406 +34851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.690368224 +34853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.256969556 +34854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.198496297 +34855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.644907506 +34857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.006994005 +34856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.111866558 +34858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.427285774 +34859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.235341867 +34861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.302783193 +34862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.029993366 +34860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.429628323 +34863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.159345555 +34864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.79171982 +34866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.30149029 +34865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.061823808 +34867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.758591011 +34868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.714808257 +34869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.023143943 +34870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.111801451 +34871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.213265955 +34872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.129979275 +34875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.086385169 +34873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.550028219 +34874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.350194504 +34877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.510487852 +34876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.543939257 +34878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.358845965 +34879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.681363396 +34881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.177258166 +34880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.407696117 +34883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.183537426 +34882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.0036748 +34885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.819867826 +34884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.453010961 +34886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.647532062 +34887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.254776548 +34889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.930604604 +34888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.170845991 +34890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.328614098 +34891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.30137963 +34892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.898183567 +34893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.157963445 +34894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.266519428 +34895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.349541201 +34896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.101138518 +34897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.603534493 +34898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.164297755 +34899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.39312264 +34901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.098427334 +34900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.756325442 +34902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.6714485 +34904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.26623019 +34905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.406490343 +34903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.115143875 +34906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.220722108 +34908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.487535449 +34910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.382946865 +34909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.247700129 +34913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 2.514963991 +34914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.029354381 +34907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.084263249 +34912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.707099544 +34911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.018856304 +34915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.891676995 +34916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.729906239 +34917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.64247989 +34918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.104797652 +34921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.215832313 +34920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.632975274 +34922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.679649499 +34919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.211198314 +34923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.287088737 +34926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.478562448 +34925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.794147729 +34927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.444794204 +34924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.053604433 +34929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.561964507 +34930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.992060879 +34928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.928834713 +34931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.213665406 +34932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.278104587 +34933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.576230261 +34934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.543193208 +34936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -2.191257294 +34937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.732793874 +34938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.467830116 +34939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.938853104 +34935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.042501618 +34940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.223602412 +34941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.29187823 +34943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.168454268 +34942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.473770194 +34944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.231208128 +34945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.35063561 +34947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.05852041 +34946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.546540099 +34949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.189100847 +34948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.234327748 +34950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.810971993 +34951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.112573217 +34952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.656924445 +34955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.061638263 +34953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.15799937 +34954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.26421707 +34956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.80856159 +34958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.516099405 +34957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.697004486 +34960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.860390336 +34959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.2338154 +34961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.394606458 +34963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.328607746 +34965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.240138548 +34964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.664966667 +34966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.242773484 +34962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.568450946 +34967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.130945955 +34968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.386672432 +34969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.376522181 +34972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.488328299 +34970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.106756212 +34971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.369122032 +34973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.85780899 +34974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.467833293 +34975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.439279224 +34976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.058077678 +34979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.166406584 +34980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.827764194 +34977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.410888573 +34981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.170477079 +34978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.72334204 +34982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.122150427 +34983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.171918609 +34985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.029255418 +34986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.697881046 +34984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.934541186 +34987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.358436249 +34988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.072588774 +34989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.468809169 +34991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 1.220831396 +34990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.040879352 +34993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.441164429 +34992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.546663141 +34994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.127427602 +34995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.603941397 +34997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.06580507 +34996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.385289666 +34998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -1.383070913 +35001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.435196372 +35000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.112812051 +34999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.825563431 +35003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.146049248 +35004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.377247415 +35005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.48619877 +35002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.864905253 +35006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.429652955 +35008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.292460886 +35007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.449183243 +35010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.489314512 +35009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.820118477 +35011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.571076954 +35012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.811992289 +35013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.439451191 +35015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.566315447 +35014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.915283573 +35016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.301870298 +35017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.14386516 +35020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.160272943 +35019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.049466417 +35021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 1.167388981 +35018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.895750616 +35022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.122394622 +35024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.372501097 +35023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.594393151 +35025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.138323243 +35026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.647805958 +35027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.20927798 +35028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.249083724 +35029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.773650843 +35030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.933934289 +35032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.210172094 +35033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.223634652 +35035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.354679343 +35036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.524559396 +35034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.10123786 +35031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.928174826 +35038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.509930077 +35037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.054782863 +35039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.981819566 +35040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.385498987 +35042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.290545837 +35043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.365631085 +35041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.860548544 +35044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.382925202 +35045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.108470949 +35047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.394243451 +35048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.728748506 +35049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.389988907 +35050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.277440498 +35046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.377811731 +35051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.724029343 +35052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.175511426 +35053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.39302295 +35054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.721107187 +35056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.585768461 +35057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.198197912 +35059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.683301803 +35055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.519865186 +35060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.745406043 +35061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.659695358 +35058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.053984036 +35062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -2.394326589 +35063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.32206371 +35064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.018402977 +35065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.12539974 +35066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.773377832 +35067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.767688783 +35068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.127568457 +35070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.346160329 +35071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.200364415 +35072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.174754465 +35073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.437755662 +35074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.793086543 +35069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.111834166 +35075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.380310303 +35076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.48364691 +35077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.472353035 +35078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.36434224 +35079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.143878394 +35080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.252802772 +35081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.247050293 +35082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.673272872 +35083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.479513635 +35084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.371544959 +35085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -2.333251383 +35086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.26309968 +35087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.659438595 +35088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.165115681 +35089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.236219409 +35091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.394991408 +35092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 1.124778748 +35090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.400684055 +35093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.093380934 +35094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.780616041 +35095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.116801891 +35096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.753279202 +35097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.756328128 +35098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.827690707 +35099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.346279382 +35102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.735356553 +35100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.561960445 +35103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -2.125548542 +35105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.548454321 +35104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.103573229 +35101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.171177796 +35107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.56575301 +35106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.038249875 +35108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.827657847 +35109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.64288673 +35111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.965544594 +35110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.371025764 +35112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.732869373 +35115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.203039484 +35114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.047542935 +35113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.917267893 +35116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.087806622 +35117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.164636235 +35119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.258205712 +35118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.675586258 +35120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.254665148 +35121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.383446544 +35124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.412579551 +35122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.422759906 +35123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 1.02593549 +35125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.077811541 +35126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.190286895 +35127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.589640252 +35128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.164778016 +35129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.536875287 +35130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.301224667 +35131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.929695612 +35133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.074457432 +35134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.018847849 +35136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.722380833 +35135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.319778919 +35132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 1.24790093 +35137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.01422375 +35139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.127626424 +35138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -2.00915091 +35140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.085207252 +35141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.985373149 +35142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.810076206 +35143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.967445338 +35144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.329493044 +35146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.366883888 +35147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.274505678 +35145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.286889993 +35148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.252405622 +35149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.385944062 +35150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.646543284 +35151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.445002907 +35154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.617943629 +35153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.86897259 +35152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.567893869 +35155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.747469332 +35156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.124580999 +35157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.966234357 +35158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.506628269 +35159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 1.304723822 +35160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.810806874 +35161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.863104614 +35162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.778694827 +35163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.235064916 +35164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.280384904 +35165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.325271058 +35167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.432314154 +35166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.76198247 +35168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.43056447 +35169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.197499857 +35170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.092471953 +35172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.398386404 +35171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.851312536 +35173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.613722588 +35175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.882698235 +35174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.590460867 +35176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.117983105 +35177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.82726885 +35179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.11266537 +35180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.036343299 +35178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.347620555 +35181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.180001449 +35182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.060642069 +35183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.263712994 +35185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.057324403 +35184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.563509059 +35186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.59135069 +35187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.263257504 +35189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.181957171 +35188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.270417949 +35191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.56903863 +35190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.764594439 +35192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.653936009 +35193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 1.43877981 +35195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.169566943 +35194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.213363298 +35196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 1.115275773 +35198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.017860192 +35199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.140996508 +35197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.210691135 +35200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.675420235 +35201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.098763197 +35202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.296821112 +35203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.527476358 +35204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 1.017096375 +35205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.142262451 +35207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.060556642 +35206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.314239395 +35208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.478229852 +35209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.741927924 +35210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.186571639 +35211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.723669038 +35213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.814233378 +35212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.534632606 +35215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.719864909 +35216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.928366233 +35217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.31028868 +35214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.44709393 +35218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.266737838 +35219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.156783297 +35221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.094592286 +35220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.081097292 +35222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.617583025 +35223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.364729911 +35224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.767070051 +35225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.83461555 +35227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.063824527 +35226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.124465015 +35228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.300801947 +35230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.787291891 +35229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.211887536 +35231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.745311507 +35232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 1.032133385 +35233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.258653564 +35236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 1.55854787 +35234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.950426177 +35235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.742181329 +35237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.276563006 +35238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.38270116 +35239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.381468423 +35240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.096272352 +35241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.675036404 +35243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.426635187 +35244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.481650215 +35245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.904462184 +35246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.901835254 +35242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.275580811 +35247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.067218013 +35248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.476800699 +35250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.421005098 +35251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.48077687 +35249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.584134406 +35252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.907886509 +35253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.851709991 +35254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.36E-04 +35255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.070547227 +35256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.470305995 +35257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.39772497 +35258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.524010699 +35260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.874585466 +35259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.288028241 +35262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.236868794 +35261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.989060926 +35263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.923297933 +35264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.227575746 +35265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.312919842 +35266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.128019005 +35267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.289693714 +35270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.02232332 +35269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.116123645 +35271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.514994862 +35268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.590154979 +35272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.346885665 +35274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.975988972 +35273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.424011746 +35275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.304618779 +35276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.911155217 +35278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.667451407 +35277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.065579109 +35279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.044410094 +35280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.095247822 +35282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.359512206 +35281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.920274146 +35283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.453325216 +35285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.788826879 +35284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.649305458 +35286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.393051006 +35287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.032762261 +35288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.922278578 +35290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.436912189 +35289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.255441434 +35292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.543459823 +35291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.952066609 +35293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.315044762 +35294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.518072392 +35296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.751075116 +35295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.043126075 +35297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.841675979 +35298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.162896698 +35299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.266859362 +35301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.806206947 +35300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.331282634 +35302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.452948736 +35303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.979010945 +35304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.505713801 +35305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.792383238 +35308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.787965591 +35307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.338497024 +35306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.117709268 +35309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.717978508 +35310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.039754812 +35311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.512213486 +35312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.587049324 +35314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.249027364 +35313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.975393021 +35315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.074468155 +35316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.497907063 +35317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.199992893 +35318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.391393539 +35319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.504134206 +35322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.76040831 +35324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.683194384 +35323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.482188451 +35321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.720885003 +35325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.818314389 +35320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.243438369 +35326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.508695684 +35327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.063785775 +35329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.285783585 +35331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.058304587 +35328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -2.369564247 +35330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.659953673 +35332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.690315331 +35334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.485152479 +35333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.615352287 +35335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.033171895 +35338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.068238936 +35336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.833154608 +35339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.05554925 +35337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.078220425 +35340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.03308154 +35341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.712357128 +35342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.06876862 +35343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.276942505 +35345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.633463386 +35346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.696293349 +35344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.521554333 +35347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.493797035 +35348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.640946063 +35349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.601231301 +35351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.63957697 +35350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.204209153 +35352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.27757842 +35353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.363529197 +35354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.277309004 +35355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.195810729 +35356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.571401654 +35357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.777858321 +35358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.977398169 +35359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.58651537 +35361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.827256593 +35360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.035467229 +35362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.262877871 +35363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.233902951 +35364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.494034443 +35365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.973363245 +35366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.264426125 +35368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.543127801 +35369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.261065282 +35370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.444915183 +35367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.186296324 +35371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.616373297 +35372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.04308793 +35373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.949634734 +35374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.398181233 +35377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.294979984 +35375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.430138567 +35376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.926315086 +35378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.205305427 +35379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.423945193 +35380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.218141649 +35382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.006161592 +35381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.479790575 +35383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.966151722 +35384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.341676179 +35385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.944883358 +35387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.435536379 +35386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.085022963 +35388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.761985395 +35389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.145865912 +35390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.227434748 +35391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.146710732 +35392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.841572159 +35393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.565616542 +35394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.042563086 +35396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.345652419 +35395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.399270075 +35398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.402515643 +35397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.195390196 +35399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.42104962 +35400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.471253142 +35401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.502182703 +35402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.389000478 +35403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.475772843 +35404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.261366987 +35406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.391601809 +35405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.952745557 +35407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 1.212347676 +35408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.3195113 +35409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.098654435 +35411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.799063468 +35410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.890074455 +35412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.478150053 +35413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.751745717 +35414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.484030543 +35415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.34128418 +35416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.561660381 +35417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.156247684 +35418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.632071985 +35419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.763900688 +35421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.209845243 +35422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.377346515 +35423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.996404321 +35424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 1.398852415 +35420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.040100774 +35425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.749247504 +35427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.953720542 +35426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.570949811 +35428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.499446821 +35429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.680772478 +35430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.733771583 +35431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.536275932 +35432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.441001551 +35433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.955023526 +35434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.047426279 +35435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.453408685 +35436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.001128973 +35437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.132096528 +35438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.04794505 +35439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.35943657 +35441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.748146163 +35442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.048246982 +35443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 1.245772443 +35444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.658004877 +35440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.064446163 +35445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.466530979 +35446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.898765092 +35447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 1.095771481 +35448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.144834369 +35449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.011950418 +35450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.045884953 +35451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.529188584 +35452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.843919321 +35453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.203400735 +35454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 1.482580696 +35455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.010784531 +35456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.15283204 +35458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.512836109 +35457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.529507157 +35459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.56654977 +35460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.694044496 +35461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.537522525 +35462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.545436518 +35463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.057931741 +35464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.026563343 +35466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.76610749 +35465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.129458572 +35467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.917617018 +35468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.063850913 +35469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.796159559 +35470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.689779726 +35471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.153441989 +35472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.774628681 +35473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.176058347 +35474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.197892438 +35475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.387639454 +35477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.555114598 +35476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.144167111 +35478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.347644209 +35479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.176362327 +35480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.360130485 +35481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.924085784 +35483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.224962668 +35482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.152117179 +35484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.996228769 +35485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.549758031 +35487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.25627773 +35486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.821745312 +35488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.132345228 +35489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.538368754 +35490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.618647059 +35491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.285608206 +35492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.940682743 +35493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.328920865 +35495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.235434297 +35494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.877464624 +35496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 1.150205631 +35497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.930974707 +35498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.853249102 +35499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.222704603 +35500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.026348525 +35502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.553682238 +35503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.707108166 +35504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.331734052 +35505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.808230924 +35506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.370901997 +35501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.535904336 +35507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.486376405 +35508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.99618143 +35509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.349201545 +35510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.04309625 +35511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.586260441 +35513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.741961203 +35512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.406699378 +35514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.606622259 +35515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.420285653 +35516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.657923943 +35517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.371625914 +35518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.142204909 +35519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.15361926 +35520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.641526144 +35521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.361792446 +35522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.306213499 +35523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.459863013 +35524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.016540336 +35526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.423068595 +35527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.79676731 +35525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.99993962 +35528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.244775896 +35529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.3048715 +35530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.19962141 +35531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.036530063 +35532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.3992784 +35535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.244018121 +35533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.20398615 +35536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.484219535 +35537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.510132474 +35538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.245076849 +35534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.465014841 +35539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.567331035 +35540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.457545766 +35541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.351423403 +35542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.156172647 +35543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.251849143 +35544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.882011963 +35546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.687260865 +35545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.854025244 +35548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.905485531 +35549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.235177184 +35550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.73344491 +35547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.196703419 +35552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.653449505 +35553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.571959427 +35551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.530589871 +35554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.264422968 +35555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.967755647 +35556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.004920665 +35558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.627443688 +35559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.601407847 +35557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.553484335 +35560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.786800155 +35561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.230526437 +35564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.286907972 +35563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.344301617 +35566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.787365445 +35562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.651987999 +35567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.351150921 +35568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.568650956 +35569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.307564045 +35565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.696224172 +35570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.60081934 +35571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.937889045 +35574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.875623401 +35573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.200967669 +35572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.050360032 +35575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.490196728 +35577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.544716827 +35576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.046450283 +35580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.133597447 +35578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.124840096 +35579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.816424602 +35582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.244892437 +35583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.506035468 +35584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.339222495 +35581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.125566905 +35586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.314557497 +35585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.64087927 +35587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.037247656 +35588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.956117939 +35590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 1.764875044 +35589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.390083598 +35591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.077438192 +35592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.385839387 +35593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.742802522 +35594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.195661732 +35596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.677113126 +35595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.611959191 +35598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.206613454 +35597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.861319574 +35599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.370015813 +35602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.921657346 +35601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.056616161 +35604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.201556619 +35600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.285127275 +35605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.623494352 +35603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.295043408 +35606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.015484085 +35607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.655832285 +35608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.37868058 +35612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.903871013 +35610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.538741843 +35613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.433992223 +35609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.305117698 +35611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.438664442 +35614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.206953494 +35615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.315187087 +35617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.783358568 +35616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.263341819 +35620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.383408099 +35619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.898709202 +35618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.486037208 +35622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.051111176 +35623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.015644919 +35624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.414269579 +35625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.793375021 +35621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.565702446 +35626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.504363718 +35627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.066626627 +35628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.453614327 +35629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.426983867 +35630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.15830162 +35631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.333484742 +35632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.250991439 +35633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.936156467 +35634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.281604199 +35635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.100874361 +35638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.485445381 +35636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.792445201 +35639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.645277155 +35637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 1.140424132 +35640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.5141925 +35641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.487121732 +35643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.814939953 +35645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.246001491 +35642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.414538854 +35647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.160324138 +35646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.211834486 +35644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.664375497 +35648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.023067402 +35649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.690981463 +35650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 1.192636172 +35651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.374174446 +35652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.210746544 +35655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.287777928 +35654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.089801815 +35653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.024627258 +35657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.298314239 +35656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.499000381 +35658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -2.186823698 +35659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.158781633 +35660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.82962463 +35662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.40751098 +35661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.110624811 +35665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.001823449 +35664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.502165223 +35663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.542617274 +35666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.577091318 +35667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.026013306 +35669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.621597131 +35673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.615003036 +35670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.210256282 +35671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.450430733 +35674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.70935457 +35672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.857701609 +35668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.421081468 +35676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.734704301 +35678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.399482617 +35675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.886067053 +35679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.430452623 +35680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.365834309 +35677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.066998271 +35681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.499480649 +35682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.111215698 +35683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.704039417 +35685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.698665575 +35688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.277314217 +35684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.742723061 +35687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.841571825 +35686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.584145624 +35689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.222297437 +35691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.806433138 +35692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.315687285 +35693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.289233729 +35690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.472953272 +35695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.064641699 +35694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.512157259 +35696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.926782608 +35697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.126787604 +35698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.181154056 +35699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.355601138 +35700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.042050828 +35702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.650941057 +35704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.215153205 +35701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.567456609 +35705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.55429854 +35703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.461708668 +35706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.306308559 +35707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.951863134 +35710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.592366739 +35709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.181979002 +35708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.941390257 +35713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.069769317 +35712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.704740348 +35715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.165844163 +35711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.026142848 +35714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.149887324 +35717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.156789219 +35718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.893878887 +35716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.212709709 +35719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.287590265 +35720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.473963435 +35721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 1.008750863 +35722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.556652129 +35723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.547720421 +35725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.552673454 +35724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.270430513 +35726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.436801566 +35728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.435485917 +35727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -5.42E-04 +35731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.145265036 +35729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.132740649 +35733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.338854583 +35732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.587776585 +35734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.280023013 +35735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.537908662 +35730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.084091848 +35736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.609289437 +35737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.861808666 +35738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.767703459 +35739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.40956771 +35740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.820497599 +35741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.433114527 +35742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.253627735 +35744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.466337423 +35743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.535403619 +35745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.362220775 +35746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.501989179 +35747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.010427296 +35748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.62779364 +35750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.938019742 +35749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.297509881 +35751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.766456737 +35754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.856208596 +35752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.196200522 +35753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.370000761 +35756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.658702734 +35755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.091599089 +35757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.277769785 +35758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.797880349 +35759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.819749769 +35761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.009610776 +35763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.258390763 +35760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.033823821 +35762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 1.221284475 +35764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.399204952 +35765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.11261569 +35766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.036067117 +35767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.565394982 +35770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 1.051956284 +35771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.254532891 +35768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.30704613 +35773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.244531243 +35772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.25974981 +35769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.669070019 +35774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.162126305 +35775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.052887358 +35776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.057446024 +35777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.524607882 +35778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 6.07E-05 +35779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 1.243508855 +35780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.741856376 +35781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.144529555 +35782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 1.201018981 +35785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.451148944 +35784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.007392828 +35783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.098210693 +35787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.339188685 +35786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.287327185 +35788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.075041758 +35790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.258458559 +35791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.239090488 +35789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.064326889 +35792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.41127134 +35793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.254864634 +35795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.568682911 +35794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.660840973 +35796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.326174277 +35797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.062135895 +35798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.756905638 +35799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.776064509 +35800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.283744559 +35802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.38898556 +35803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.116161747 +35801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.508584343 +35804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.984694858 +35805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.365015656 +35806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.052964104 +35807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.421818817 +35808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.403048529 +35809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.523413391 +35811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.136083213 +35814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.711903935 +35815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.072986922 +35810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.603365612 +35813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.75083052 +35812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.566904894 +35816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.021168504 +35817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.248748324 +35818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.021119154 +35819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.795976448 +35820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.354522279 +35822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.138336971 +35823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.037566031 +35821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.330815739 +35824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.042472827 +35825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.94764081 +35826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.525597644 +35828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.514516416 +35827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.875024479 +35829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.648120522 +35832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.519909959 +35833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.351319962 +35830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.549128285 +35831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.549760213 +35834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.794450192 +35835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.022067946 +35836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.376889128 +35837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.869254145 +35838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.734613329 +35840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.961739777 +35839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.229784361 +35841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.629629407 +35845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.757545874 +35842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.929357563 +35844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.102147166 +35846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.072501338 +35847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.201279456 +35843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.115733007 +35848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.134403593 +35851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.283530913 +35850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 1.421530241 +35852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.074405684 +35854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.022581653 +35853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.601688574 +35855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.978494191 +35856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.11997265 +35849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.208193567 +35857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.718068195 +35858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.466531806 +35860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.726989416 +35859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.149898434 +35862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.442941724 +35861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.040442078 +35863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.458750844 +35864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.358201068 +35865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.505732654 +35866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.031971289 +35867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 1.686600962 +35869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.43467963 +35870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.557911637 +35868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.507825072 +35871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.228807788 +35872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.951408617 +35873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.829186656 +35876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.41251036 +35878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.369519235 +35874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.638481887 +35875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.300067354 +35877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.690331225 +35879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.614707571 +35882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.875635858 +35881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.621689927 +35880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.148771938 +35883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.051079742 +35884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.221179474 +35886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.192392642 +35885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.322479477 +35887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.304146486 +35888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.768894924 +35889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.845551506 +35891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.827075482 +35890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.84586516 +35893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.160094197 +35895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.539097954 +35892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.240871301 +35894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.06936532 +35896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.624720782 +35897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.237268897 +35898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.113964815 +35900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.095822306 +35899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.341193776 +35901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.392109685 +35902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.997325321 +35904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 1.114854245 +35906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.229259288 +35907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.29340859 +35905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 1.243824172 +35903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.881718022 +35909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.2808109 +35908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.010838301 +35910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.219202213 +35912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.882760379 +35911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.287754608 +35914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.469662044 +35915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.156072995 +35913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.345135685 +35916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.259092251 +35918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 1.302236631 +35920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.405557594 +35917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.229426578 +35919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.29748623 +35923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.774736344 +35924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.741873276 +35922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.280558668 +35921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.890004212 +35925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.884300565 +35926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 1.869335647 +35927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.970141597 +35928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.512848346 +35929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.205050075 +35930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.668707413 +35931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.340204564 +35932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.076335808 +35934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.011245767 +35937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.747987439 +35936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.550595572 +35933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.080480339 +35939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.540175466 +35940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.165798477 +35938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.418525329 +35935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.782213032 +35941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.294205961 +35942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.105641489 +35944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.063237694 +35943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.227140845 +35946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.089203709 +35945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.234885199 +35947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.34624331 +35948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.231563986 +35949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.190438628 +35950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.631912085 +35952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.016895447 +35951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.30946778 +35954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.588987345 +35953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.80685105 +35955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.42984697 +35958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 1.310037636 +35957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.238257989 +35956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.11723119 +35959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.107503608 +35961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 1.955380548 +35960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.180438121 +35962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.701450288 +35964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.655765846 +35968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.042367976 +35966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.277198954 +35969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.378263562 +35970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.255988275 +35965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.234478376 +35963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.067548647 +35967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.707873267 +35971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.159985723 +35973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.001093429 +35972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.279425894 +35974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.969132264 +35976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.483340377 +35975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.574487165 +35977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.6441653 +35979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.264706566 +35980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.297265817 +35981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.909278917 +35978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.295603603 +35983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.483191123 +35982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.165115102 +35985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.353688035 +35984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.510603643 +35986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.017785994 +35987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.400971664 +35988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.24417641 +35990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.437141199 +35991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.014891087 +35992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.467930814 +35993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.300608216 +35989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.453472112 +35994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.505674666 +35995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -1.83411237 +35996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.137751479 +35997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.272105327 +35998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.993167849 +36000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.117846694 +36001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.584465279 +35999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.131560207 +36003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.13487813 +36002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.576104389 +36005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.796923669 +36004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.046503468 +36006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.801660699 +36007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.715709622 +36009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.275942535 +36008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.708196408 +36011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.421535264 +36013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.651376535 +36010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.673357984 +36015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.343709452 +36014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.54774659 +36017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.163715046 +36016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.122218718 +36012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.083291668 +36020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.133655031 +36019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.54151 +36018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.278927132 +36021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.13895276 +36023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.236819425 +36022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.501727768 +36025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.312129554 +36024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.037141042 +36026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.223703464 +36029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.19648533 +36028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.860594834 +36030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.174821646 +36027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.075535297 +36032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.413169005 +36033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.012149915 +36031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.392957327 +36034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.126630439 +36035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.804661086 +36036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.229274273 +36037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.564248497 +36038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.360921301 +36039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.244817221 +36041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.099213131 +36042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.833504076 +36040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.324745565 +36045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.169232656 +36043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.452757705 +36046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.237839843 +36044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.98882721 +36047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.41102571 +36048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.227879096 +36050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.756421528 +36049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.283136962 +36051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.736289425 +36052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.556255981 +36053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.389957485 +36054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.400113714 +36055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.638237638 +36056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.171891303 +36058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.076986135 +36059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.19631604 +36057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.588094654 +36060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.76239513 +36061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.387066831 +36062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.831729048 +36063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.58038092 +36064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.405808172 +36065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.193831341 +36066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.193384173 +36067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.4810261 +36068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.605398088 +36069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.189092145 +36070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.041104025 +36071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.909759309 +36073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.358270112 +36074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.38762498 +36075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.492687926 +36077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.007719269 +36072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.49980301 +36076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.214356606 +36078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.753023945 +36079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.188799594 +36081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.117161249 +36080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.368576898 +36082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.036996771 +36083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.235316453 +36085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.755760569 +36087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.075415921 +36086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.570779975 +36084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.160322032 +36089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.179522468 +36088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.592777168 +36090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.248208711 +36091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.128775603 +36092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.590690451 +36094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.258534285 +36093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.496280914 +36096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.063025197 +36097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.558529182 +36095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.13719516 +36098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.525810852 +36099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.273661115 +36100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.153575963 +36101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.396212546 +36102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.207513425 +36104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.519970088 +36103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.845566299 +36105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.89610882 +36106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.162559432 +36107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.861617175 +36108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.213522259 +36109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.607641412 +36111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.520519763 +36110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.464027363 +36112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.414437239 +36114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.656596259 +36115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.537902486 +36113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.256991585 +36116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.658251004 +36119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.111200722 +36117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.053951145 +36118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.903404827 +36120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.289679885 +36121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.242737514 +36123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.002177416 +36122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.542013627 +36124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.144931717 +36126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.087065692 +36125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.305034176 +36127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.694289036 +36128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.094393826 +36129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.989005315 +36131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.910618035 +36132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.267317665 +36133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.967674091 +36130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.84659031 +36134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.074209862 +36135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.781350688 +36136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.328490329 +36137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.480386305 +36138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.840824001 +36139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.22585626 +36140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.148174218 +36142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.292126914 +36143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.55122571 +36141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.255312474 +36145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.770304436 +36144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.120657693 +36146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.133779183 +36147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.024469989 +36149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.704189641 +36148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.737775866 +36152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.21143165 +36153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.014887867 +36150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.061846327 +36154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.380899777 +36155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.388708573 +36151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.975925633 +36156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.60836901 +36157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.222982015 +36158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.257487026 +36160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.40368825 +36159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.212420031 +36161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.003718219 +36163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.767930575 +36162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.555206108 +36164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.034584529 +36166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.42441395 +36165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.933813521 +36167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.248929896 +36169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.081100229 +36171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.032176058 +36168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.043328872 +36172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.678231197 +36170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.556152033 +36174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.606285784 +36173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.805151908 +36175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.142899393 +36176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.754920803 +36178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.496120786 +36177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.25349857 +36179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.26602892 +36181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.646267671 +36182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.453001588 +36183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.003213631 +36180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.371888794 +36184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.640124102 +36185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.323210046 +36186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.356724166 +36187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.41032765 +36188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.360258378 +36189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.536689738 +36190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.158395547 +36191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.276027541 +36193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.217660256 +36194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.481819943 +36195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.741308052 +36196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.894098274 +36192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.135387439 +36197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.579465428 +36198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.325371038 +36199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.358647838 +36200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.439419322 +36202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.964906554 +36201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.942553769 +36203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.489641152 +36204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.06640977 +36205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.217797037 +36206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.34254262 +36207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.933122 +36209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.044783909 +36211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.557084137 +36210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.506444614 +36208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.97060123 +36212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.792890334 +36213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.501203832 +36214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.819422606 +36216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.816298067 +36217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.762023934 +36218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.407552117 +36219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.024176575 +36220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.259561941 +36215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.489377081 +36221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.080865226 +36222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.02882765 +36224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.79242467 +36223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.432103055 +36225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.291674475 +36226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.023046486 +36227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.174134423 +36228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.549012548 +36229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.214679923 +36230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.857411827 +36232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.518776368 +36231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 1.037338055 +36233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.442071528 +36234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.101041867 +36235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.381915781 +36237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.599931649 +36238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.035935271 +36236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.024729384 +36239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.277671254 +36241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.020534127 +36243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.895703397 +36242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.922928174 +36240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.413370391 +36244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.802896853 +36245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.85094213 +36247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.715044035 +36246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.67380978 +36248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.766277252 +36250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.391667884 +36249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.523146506 +36251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.038938288 +36252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.621239835 +36253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.438334058 +36256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.265669004 +36254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.095456156 +36257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.955140627 +36258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.368432236 +36259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.490411595 +36255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.778838016 +36260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.211417066 +36261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.150695485 +36262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.01422702 +36263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.030831487 +36266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.099302505 +36265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.252701011 +36264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.399033161 +36267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.452481895 +36268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.389066961 +36269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.607451977 +36270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.25577735 +36271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.164621495 +36273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.490478659 +36272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.027856502 +36274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.416650917 +36276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.16187031 +36277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.483039537 +36275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.029982318 +36279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.09348005 +36278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.378571631 +36280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.193316742 +36281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.622058936 +36282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.608570768 +36283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.494837457 +36284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.910420563 +36286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.493741118 +36287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.673642981 +36285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.105060911 +36289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.23471818 +36288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.660596507 +36290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.361598014 +36291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.459529851 +36293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.172687855 +36292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.426751113 +36294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.033516115 +36295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.010280284 +36297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.937299901 +36298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.152351766 +36296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.591674182 +36299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.696799978 +36300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.138134102 +36301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -2.077839223 +36302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.251411037 +36305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.214530823 +36304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.106500683 +36303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.078362311 +36306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.107764822 +36308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.593175683 +36307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.295009443 +36309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.53173104 +36310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.470078194 +36311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.162835436 +36312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.417254538 +36314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.826943707 +36313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.754895449 +36315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.088075077 +36317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.626796005 +36316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.002502036 +36318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.276203268 +36320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.889729205 +36319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.247173632 +36321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.542328689 +36323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.775523439 +36322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.411174088 +36324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.313693107 +36325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.046194939 +36326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.933448691 +36327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.287957542 +36328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.345538205 +36329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.057502117 +36330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.49256318 +36333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.023581149 +36334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.588069141 +36331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.510041736 +36335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.793499804 +36336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.19033601 +36332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.255196952 +36337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.847755858 +36338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.21089993 +36339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.600985744 +36340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.029708711 +36342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.892490016 +36341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.19717096 +36343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.475067101 +36344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.165784712 +36345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.010309277 +36346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.396553768 +36347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.072845874 +36348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.741118472 +36349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.087815189 +36350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.173083008 +36351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.080023891 +36352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.239474809 +36353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.401051804 +36354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.229002722 +36355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.1124001 +36356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.273930032 +36357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.341288625 +36359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.56413727 +36360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.831892556 +36358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.958225018 +36361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.664626134 +36362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.423857612 +36363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.699837812 +36364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.936131954 +36366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.330773336 +36365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.066600725 +36367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.085376241 +36369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.201914816 +36368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.69808163 +36370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.280107393 +36371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.510120064 +36372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.190934804 +36374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.254477183 +36373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.084814537 +36375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.644127324 +36376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.230823673 +36378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.17878532 +36377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.53313485 +36379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.843284295 +36380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.475657591 +36381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.104571804 +36382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.042353987 +36384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.542538484 +36383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.61444682 +36385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.104605876 +36387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.429552886 +36388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.293754635 +36386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.034085478 +36389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.509782236 +36390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.036186227 +36391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.332489632 +36392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.516831126 +36395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.030085636 +36393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.538078977 +36394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.859162903 +36396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.496602314 +36397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.017236202 +36398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.238671749 +36399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.03191693 +36400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.610349884 +36403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.405969807 +36402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.335410902 +36401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.378702474 +36405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.562041289 +36404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.46237733 +36406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.976054984 +36407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.104367383 +36408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.220740642 +36410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.489842087 +36409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.83248558 +36412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.28469844 +36411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.963542525 +36413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.467978596 +36414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.794018756 +36415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.900871989 +36416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.60624238 +36417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.649645022 +36418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.677005364 +36419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.034404558 +36420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.732729872 +36423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.265929367 +36422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.516981748 +36421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.247701845 +36424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.569055509 +36426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.637534144 +36425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.055107278 +36427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.38781468 +36428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.394441274 +36430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.738515014 +36429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.296960286 +36432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.214769032 +36431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.014235945 +36434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.370148519 +36433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.081881008 +36435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.873002922 +36436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.406588496 +36438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.222780405 +36437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.707233745 +36439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.047700519 +36441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.263620154 +36442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.6994361 +36440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.11485997 +36443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.28965569 +36444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.179339233 +36446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.409344613 +36445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 1.095518161 +36447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.925364529 +36449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.392574869 +36448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.027466439 +36450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.307418643 +36451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.480212383 +36452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.086934459 +36453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.330364529 +36455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.609490849 +36454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.952712093 +36456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.528975567 +36457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.269844504 +36459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.479979655 +36458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.243794655 +36460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.06921046 +36461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.119786113 +36462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.425340008 +36463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.826058134 +36464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.264800283 +36465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.030381954 +36466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.473910804 +36468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.374027882 +36469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.77658977 +36470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.035913455 +36467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.546720472 +36471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.939941165 +36472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.395064815 +36473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.338061898 +36474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.157041691 +36475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.027617964 +36476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.249525525 +36477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.25711387 +36479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.770840275 +36480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.793648768 +36478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.560878085 +36481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.633135949 +36482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.351035818 +36483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.553144643 +36484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.198113232 +36485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.18772111 +36487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.011259488 +36486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.878882685 +36489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.054052581 +36488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.405860782 +36490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.353432219 +36491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.3333008 +36492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.711967241 +36494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.212325163 +36493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.171576127 +36496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.530052395 +36495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.53908511 +36497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.794410152 +36498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.623672619 +36499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.555811055 +36500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.07783957 +36501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.049369556 +36502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.303533504 +36504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.013674776 +36503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.997242789 +36506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.014453935 +36508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.249106084 +36507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.938017356 +36505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.500004775 +36509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.097625584 +36510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.734415946 +36512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.081711005 +36511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.833417818 +36513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.240674093 +36515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.389367183 +36514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.574971576 +36517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.145725493 +36516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.129783955 +36519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 1.123456928 +36518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.792321565 +36520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.592695678 +36521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.280447056 +36522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.746326527 +36523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.256092889 +36524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.290428982 +36527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.737969711 +36526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.57341388 +36528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.010299113 +36525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.139289722 +36529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.11400852 +36530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.762457561 +36531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.229790883 +36532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.342588697 +36534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.690112009 +36533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.023107475 +36535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.268658634 +36536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.255073047 +36537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.569177514 +36538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.244049083 +36539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.171662696 +36540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.193103455 +36542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.751460055 +36541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.50619592 +36543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.167961223 +36545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.073182961 +36546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.150371652 +36547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.578246644 +36544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.487754019 +36548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.653035141 +36550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.361930612 +36549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.337030975 +36551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.782809701 +36552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.442654743 +36553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.283612966 +36554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.211537275 +36555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.531471277 +36556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.365213031 +36557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.31189298 +36558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.680438982 +36559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.583843335 +36560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.177766208 +36561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.789397527 +36562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.483618145 +36563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.455243061 +36564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.267443176 +36565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.285066376 +36567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.224402551 +36566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.320015712 +36568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.963652934 +36569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.151764391 +36570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.081858941 +36571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.051200147 +36573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.475551066 +36572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.299515504 +36575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.273429941 +36574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.238073193 +36576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.569878572 +36577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.091983417 +36578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.830165584 +36579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.766996607 +36580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.191556923 +36582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.107002831 +36583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.920233923 +36581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.677988948 +36584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.394776356 +36586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.790780299 +36585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.51736003 +36587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.387540572 +36588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.566150208 +36589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.711206962 +36590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.167445036 +36591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.144982516 +36593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.292665167 +36594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.486777107 +36592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.274954324 +36595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.28342476 +36596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.055050594 +36597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.229081337 +36598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.398129698 +36600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.618262668 +36601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.499365771 +36602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.747548557 +36603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.152988841 +36599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.933306441 +36604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.911183291 +36605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.363466124 +36606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.032737624 +36607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.14573409 +36608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.600492274 +36609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.149785444 +36610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.358608308 +36612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.901070352 +36611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.234072543 +36613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.863575013 +36614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.713570549 +36615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.151713271 +36616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.136199004 +36617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.140322468 +36618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.680497857 +36620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.77161034 +36619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.264185121 +36621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.578517331 +36622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.455427644 +36623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.50323541 +36624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.168907693 +36625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.215586309 +36626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.240264232 +36628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.740931225 +36629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.231139075 +36627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.374066412 +36630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.215940422 +36632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.171372024 +36631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.377081822 +36633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.031087554 +36634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.447574781 +36635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.830979706 +36636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.630488686 +36637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.039311855 +36638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.772860697 +36641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.156608908 +36640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.461036637 +36639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.296354088 +36642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.342227314 +36643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.386760938 +36644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.366448838 +36649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.288735328 +36648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.340594161 +36647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.124116165 +36650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.206115817 +36645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.496950904 +36646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.524440939 +36651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.051954193 +36652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.274686655 +36653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.749503817 +36656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.253809648 +36655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.623808304 +36654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.216986261 +36658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.038906307 +36657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.562857396 +36659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.888112511 +36660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.120345658 +36661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.728430327 +36662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.924965169 +36663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.188173287 +36664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.374175244 +36665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.552911355 +36667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.540388696 +36666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.070746373 +36668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.913228934 +36669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.490716438 +36670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.361032741 +36673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.251515836 +36672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.296056813 +36671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.648957555 +36674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.571919675 +36676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.528060057 +36675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.465899873 +36677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.192461833 +36678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.103063217 +36679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.336152431 +36681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.191481955 +36680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.083577965 +36682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.280119276 +36684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.72509573 +36686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.014242888 +36683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.275564405 +36687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.068769639 +36688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.026125591 +36689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.099685005 +36685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.226887884 +36690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.207442776 +36692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.550714912 +36691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 1.174781385 +36693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.169334505 +36694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.982252382 +36695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.282830325 +36696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.306586264 +36698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.473534388 +36697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.093200066 +36701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.238190688 +36699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.750041951 +36700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.084558812 +36702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.079950736 +36703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.584877492 +36704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.110879723 +36705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.073368492 +36707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.58742388 +36708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.313761679 +36706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.616750462 +36710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.005453172 +36709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.85535608 +36711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.38509134 +36713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.264908985 +36712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.433383835 +36714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.035839326 +36715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.999614314 +36716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.498441899 +36717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.061530087 +36718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.679101659 +36719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.246103856 +36720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.471598037 +36721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.162043419 +36722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.784274324 +36724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.033389602 +36726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.142386462 +36725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.165608287 +36723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.058338798 +36728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.62276445 +36730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.130919386 +36727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.049040976 +36729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.406406135 +36731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.052542035 +36732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.327866039 +36733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.80438313 +36735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.40537357 +36734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.445570319 +36736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.330238927 +36737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.067186097 +36738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.273637425 +36739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.608058129 +36740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.026048945 +36742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.363783517 +36741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.391821362 +36745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.045958922 +36744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.972083201 +36746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.202060249 +36743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.164396364 +36747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.583359544 +36748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.122523945 +36749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.279417733 +36752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.264508267 +36750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.093567987 +36753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.873594466 +36751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.049490295 +36754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.485662785 +36755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.088613136 +36756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.623965258 +36757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.016090765 +36758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.61133939 +36759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.157472088 +36761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.77406815 +36760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.474120046 +36763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.016630411 +36764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.856040039 +36765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 1.390849331 +36766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.122015197 +36767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.103025948 +36768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.885300736 +36762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.636650647 +36769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.584847093 +36770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.519990723 +36771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 1.057756526 +36773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.379203626 +36774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.855811501 +36775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.443569991 +36772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.480722984 +36776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.045149825 +36777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.10830735 +36778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.814668938 +36780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.475832423 +36781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.252762749 +36779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.280438187 +36783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.340464048 +36782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.690876219 +36785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.732813282 +36786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.588894068 +36784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.587291968 +36787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.219490506 +36788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.534693087 +36789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.399833741 +36791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.366059454 +36790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.69470747 +36793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.802309858 +36792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.304861043 +36794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.31009488 +36796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.274918694 +36797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.955537348 +36795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.173938737 +36798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.865175003 +36799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.188749154 +36800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.086333986 +36801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.34705117 +36802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.07810677 +36804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.850349733 +36805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.348868244 +36808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.519336626 +36807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.139552229 +36806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.488635367 +36803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.408297845 +36809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.95479637 +36810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.618134661 +36812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.814819274 +36811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.424527007 +36813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.06313658 +36814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.095766795 +36815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.024389319 +36817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.60066521 +36816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.487266884 +36818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.449161933 +36820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.301271564 +36819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.001307179 +36822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.455248353 +36821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.012613331 +36823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.185466778 +36824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.995648923 +36825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.309900671 +36827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.859949788 +36828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.010126863 +36830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.214048244 +36829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.21237923 +36831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.321263155 +36826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.755185838 +36832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.262491528 +36833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.457083087 +36836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.768259848 +36837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.139975419 +36834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.805425247 +36840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.060254076 +36838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.148315108 +36839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.076029337 +36835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.225535738 +36841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.042384181 +36842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.21799911 +36843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.351589108 +36844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.439912794 +36845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.437241762 +36848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.31542537 +36849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.462566237 +36846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.024308332 +36847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.584054356 +36852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.79354091 +36851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.238615495 +36853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.533296145 +36850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.646321741 +36854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.617600813 +36855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.026194754 +36857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.697896566 +36856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.697863401 +36858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.755777296 +36859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.78270762 +36861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.145710214 +36860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.172556544 +36862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.147316181 +36864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.37720333 +36866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.648046156 +36867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.039136786 +36865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.773121633 +36863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.4728256 +36869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.338758534 +36868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.192841769 +36870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.912086328 +36873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.752250574 +36871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.947752125 +36874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.426165267 +36876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.25475358 +36872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.137136281 +36875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.918282023 +36877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.236436347 +36878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.731407548 +36879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.47400294 +36881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.803908049 +36880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.495047636 +36884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 1.153418109 +36885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.397264779 +36882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.430067186 +36883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.604442182 +36886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.201364476 +36887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.91021456 +36888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.843499101 +36892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.397098226 +36893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.235432913 +36890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.492442235 +36891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.389518689 +36889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.232952757 +36894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.177675483 +36895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.486388645 +36896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.497162744 +36898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 1.594512543 +36899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.19456335 +36897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.485952887 +36900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.398805529 +36901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.328885417 +36902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.219298614 +36903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.250741724 +36904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.612467638 +36906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.849007757 +36907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.444892932 +36908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.319852889 +36910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.365197549 +36905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.847528895 +36909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.112932167 +36911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.623874499 +36912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.471441485 +36915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.15442037 +36914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.303586736 +36917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.477158872 +36916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.286719272 +36919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.811439614 +36918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.650812438 +36913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.042785847 +36920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.454289502 +36921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.641714603 +36923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.0947554 +36924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.022133852 +36922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.019755863 +36925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.472082695 +36927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.282504021 +36928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.693860514 +36926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.341168642 +36929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.11688251 +36930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.020103111 +36931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.499298493 +36933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.103716281 +36932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.545062215 +36935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.172861001 +36934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.127590044 +36937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.833725173 +36936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.746740241 +36938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.878982112 +36940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.906236965 +36939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.313504732 +36941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.520733413 +36943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.650007373 +36942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.695867262 +36944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.557312606 +36945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.686372008 +36947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.462364682 +36946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.691551223 +36948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.696504526 +36950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.302620721 +36949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.302956122 +36951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.649128037 +36952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.840452627 +36954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.225082635 +36956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.027460193 +36955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.867403469 +36958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.11578544 +36957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.142399572 +36953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.193319219 +36960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.65750565 +36959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.645788819 +36961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.169533828 +36962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.054416677 +36963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.078804 +36964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.547108506 +36965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.422333939 +36966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.300455448 +36967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.237211103 +36968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.672523686 +36969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.45983111 +36970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.774377357 +36971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.710035483 +36972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.177790931 +36973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.597503865 +36976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.943836718 +36977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.320470186 +36975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.966607132 +36978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.729591644 +36979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.777548951 +36974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.303369763 +36981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.102987027 +36980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.319627139 +36983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.562487456 +36982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.189234558 +36985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.285721897 +36986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.579455469 +36988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.924373588 +36987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.554033559 +36984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.769351117 +36989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.45056559 +36990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.093500912 +36991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.244509671 +36992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.42615742 +36993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.202443752 +36996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.700223694 +36995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.242547385 +36997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.657693024 +36994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.326820631 +36998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.109649341 +36999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.76300231 +37000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.956612454 +37002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.419723765 +37004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.367407859 +37003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.419312053 +37006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.286933524 +37005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.249118032 +37001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.155590756 +37007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.321165614 +37008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.40236819 +37009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.460958909 +37010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.86101589 +37011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.986902959 +37012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.294810693 +37013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.008590004 +37014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.131315901 +37015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.642824981 +37016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.57110627 +37017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.768808171 +37018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.616756515 +37019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.52218088 +37020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.835033419 +37021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.167393985 +37023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.416597862 +37022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.750017003 +37026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.160421255 +37028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.131327615 +37024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.22304904 +37027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.060439401 +37025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.271364981 +37029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.138721792 +37030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.559473512 +37031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.144857381 +37032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.033793692 +37034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.396695458 +37035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.261009 +37033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.608882361 +37037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.661392877 +37036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.785387978 +37038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.01145811 +37039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.308340443 +37040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.288702273 +37041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.614379117 +37042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.097831056 +37043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.642223805 +37044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.012903293 +37045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.508392196 +37046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.122312257 +37047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.022334683 +37048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.271011782 +37050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.88147357 +37051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.142004932 +37052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.171906895 +37049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.176717618 +37053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.172939708 +37054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.450293224 +37055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.085133529 +37056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.558647596 +37057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.176164025 +37059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.777637571 +37058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.388649232 +37060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.404215659 +37062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.135120876 +37064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 1.254843032 +37063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.651015089 +37061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.465305667 +37065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.746726168 +37067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.48011979 +37066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.880916509 +37069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.488757775 +37068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.561867229 +37070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.238695753 +37071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.7727963 +37073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.46341663 +37072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.214903513 +37075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.082400897 +37074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.85610797 +37077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.304885029 +37078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.274096412 +37076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.0124417 +37080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.115303158 +37082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.80905335 +37079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.377965063 +37083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.42049302 +37084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.017327765 +37085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.078729549 +37086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.49541063 +37081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.172899856 +37088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.412458707 +37087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.27620413 +37089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.12616209 +37090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.931498698 +37093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.063930306 +37092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.026286854 +37091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.098633429 +37094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.104813208 +37095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.408229362 +37096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.748715078 +37097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.029907791 +37098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.511431569 +37101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.456859017 +37100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.414505199 +37103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.29797511 +37099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.600706009 +37102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.393836023 +37104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.475253165 +37105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.760421422 +37106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.818149847 +37108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.307819011 +37107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.425802039 +37109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.444304667 +37110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.107079073 +37112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.648398393 +37113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.410076638 +37111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.33686893 +37114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.482492484 +37117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.760415852 +37116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.113708558 +37115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.620231281 +37120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.881781132 +37118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.078457047 +37119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.825816813 +37121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.228579076 +37122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.064071097 +37123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.774493168 +37125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.502534631 +37124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.347564138 +37128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.246211029 +37127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.635579554 +37126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.073704851 +37129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.433280421 +37130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.137264026 +37133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.591845206 +37132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.887949097 +37131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.526292856 +37134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.004844127 +37135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.740588861 +37136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.202204313 +37137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.27712697 +37138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.463714391 +37140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.495895042 +37141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.102467004 +37139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.422122959 +37144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.153752521 +37143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.104347412 +37142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.181716693 +37146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.026165946 +37147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.52669432 +37145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.050429411 +37148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.430045369 +37149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.096621293 +37151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.492641867 +37150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.069449214 +37152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.303242434 +37154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.490730921 +37156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.719247777 +37155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.291452053 +37159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.884825945 +37158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.466641553 +37157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.755865395 +37160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.190921706 +37153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.859037392 +37161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.354242976 +37162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.6548236 +37165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.023180497 +37164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.103089807 +37166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.078027495 +37163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.87162413 +37167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.708548916 +37168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.117546464 +37169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.897012098 +37171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.552729764 +37173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.571607827 +37172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.385394396 +37174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.128359013 +37175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.928149083 +37170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.201892392 +37176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.721469615 +37177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.727349969 +37179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.489314514 +37180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.028339963 +37178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.118830475 +37183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.714663995 +37184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.549097824 +37185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.013469983 +37182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.228038199 +37181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.014632275 +37188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.83397932 +37186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.57441835 +37187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.779010308 +37190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.116368994 +37191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.543489869 +37192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.766915778 +37189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.218488449 +37193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.441508796 +37195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.809090685 +37194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.331181234 +37196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.340030523 +37197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.744091283 +37200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.274084823 +37198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.163062549 +37201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.209932131 +37202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.359076293 +37199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.10033937 +37204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.279476467 +37203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.70484382 +37206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.058748385 +37205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.2057004 +37207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.112867174 +37208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.513928633 +37211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.988865801 +37209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.064357593 +37212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.453461239 +37210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.108492704 +37214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.408696256 +37215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.590765304 +37213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.264409282 +37218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.005978514 +37217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.542031021 +37219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.481060921 +37220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.161464986 +37216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.465658332 +37221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.383840011 +37222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.948378504 +37223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.338583462 +37226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.332073568 +37225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.977806978 +37224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.430140379 +37228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.100744731 +37227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.094628255 +37229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.157288803 +37233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.453126844 +37232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.069107843 +37230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.443855131 +37234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.191958499 +37231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.059517345 +37235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.342256568 +37237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.079304338 +37239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.066422558 +37238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.234848382 +37240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.248676549 +37236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.41472882 +37242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.73491164 +37241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.379450248 +37243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.503123834 +37245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.121499478 +37246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.615999036 +37247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.82058272 +37244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.074533632 +37249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.630397356 +37251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.174004183 +37248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.029056311 +37250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.440548768 +37252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.17953286 +37253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.147230278 +37254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.368589835 +37255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.355110298 +37256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.705672484 +37257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.807441646 +37258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.201056668 +37259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.076176185 +37260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.890856897 +37261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.300056049 +37262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.155888829 +37264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.369795313 +37265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.890421499 +37263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.841729306 +37266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.136548613 +37267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.542444179 +37270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.646862383 +37268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.276045109 +37269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.455544132 +37271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.466945951 +37272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.021771314 +37273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.255759544 +37274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.135029152 +37275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.583137944 +37277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.518523339 +37276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.24461283 +37278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.128530653 +37279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.084566595 +37280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.321944152 +37281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.106219091 +37283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.019361534 +37282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.946333341 +37284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.358317854 +37286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.439021808 +37285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.342745739 +37288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.051580164 +37287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.219553284 +37289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.320056261 +37290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.375585346 +37292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.82907782 +37293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.326514923 +37294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.203169987 +37291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.359014057 +37296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.161828631 +37295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.312760531 +37297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.421443397 +37298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.366339391 +37299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 1.086157913 +37300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.653884341 +37301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.434713891 +37303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.323026692 +37304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.185001216 +37302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.517335383 +37305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.275855931 +37307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.064355829 +37308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.190890228 +37306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.096763973 +37309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.837363122 +37310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.433487376 +37311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.042304306 +37313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.374846118 +37312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.360865977 +37314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.170465652 +37316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.760828975 +37315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.381152603 +37318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.260172956 +37317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.195364368 +37320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.738948203 +37319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.879947031 +37321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.366336031 +37323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.18727418 +37324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.951570527 +37325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.429058471 +37326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.147735127 +37328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.202962291 +37322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.155054096 +37327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.190511124 +37329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.615488086 +37330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.124813802 +37331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.26987404 +37332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.024962847 +37333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.332543006 +37335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.036433727 +37336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.252728902 +37334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.9085388 +37338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.231123591 +37342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.137682343 +37341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.274536135 +37339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.598506087 +37340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.722577938 +37344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.054028311 +37343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.671554936 +37337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.391649145 +37347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.712490385 +37349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.324515778 +37345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.135704584 +37346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.655118217 +37348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.356504405 +37351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.875526961 +37350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.074996826 +37352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.043251392 +37353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.028281065 +37355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.350045366 +37354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.152571761 +37356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.275523551 +37357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.098746071 +37358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.002437866 +37359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.037111389 +37360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.21170591 +37361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.703365818 +37363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.17065177 +37362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.76670617 +37364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.382225546 +37366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.671453891 +37365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.485750903 +37367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.284876523 +37368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.010237533 +37371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.401685445 +37369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.044995961 +37370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.137706843 +37372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.20528664 +37373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.061837729 +37374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.273274224 +37376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.582437468 +37375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.559047061 +37377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.411284907 +37380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.351351005 +37379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.369710196 +37378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.678349193 +37381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.211357154 +37382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.043210609 +37383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.331849472 +37384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.267748383 +37386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.487856217 +37385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.284026162 +37388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.018682037 +37387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.483592977 +37389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.635907159 +37390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.085539676 +37391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.143086936 +37392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.836157225 +37393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.631477688 +37395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.324218146 +37394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.185830489 +37396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.069403109 +37397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.263349945 +37398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.048871995 +37399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.196488436 +37400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.112379164 +37401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.202150615 +37402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.290671756 +37403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.48470212 +37404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.059033065 +37405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.020616139 +37406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.648011505 +37407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.37718505 +37409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.337648705 +37410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.651122461 +37411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.046504235 +37412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.865975992 +37408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.219378063 +37413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.024855344 +37414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.048107747 +37415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.654735522 +37416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.060914571 +37417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.006964466 +37419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.775056107 +37418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.259130984 +37420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.166006906 +37421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.376723462 +37422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.629649715 +37423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.266664065 +37424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.0955824 +37425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.557450884 +37426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.187149513 +37427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.159934445 +37429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.045692502 +37430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.184363752 +37428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.235603303 +37431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.683385403 +37432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.15784054 +37433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.087333293 +37434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.075246565 +37435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.04924876 +37436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.065080507 +37437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.550858932 +37438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.226149557 +37439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.581002324 +37440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.45E-04 +37441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.486365641 +37442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.106395298 +37443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.69692135 +37444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.598007814 +37445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.448698784 +37447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.57138533 +37448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.547338459 +37449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.212191258 +37450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.108868932 +37446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.05185366 +37451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.778001738 +37452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.201275632 +37453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.449665272 +37454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.345763005 +37455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.6093971 +37456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.158333464 +37457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.071420347 +37458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.809814149 +37459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.603167517 +37460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.232192754 +37461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.134728068 +37462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.613127214 +37463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.461187733 +37465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.145280839 +37464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.720542954 +37467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.424798567 +37466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.7036116 +37468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.274829055 +37469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.480294046 +37470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.540407653 +37472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.273856811 +37471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.623281892 +37473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.655743056 +37474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.460027916 +37476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.856823733 +37477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.339409586 +37475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.675704593 +37478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.07712724 +37479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.710861493 +37480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.196338393 +37481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.792723198 +37482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.962604987 +37483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.437703653 +37484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.086378062 +37486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.026350251 +37488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.79157803 +37487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.954593753 +37485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.714189785 +37489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.041736309 +37490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.44626345 +37491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.257410558 +37492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.847854578 +37493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.93622659 +37494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.514155048 +37495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.461510944 +37497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.658292779 +37496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.332137304 +37498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.11097355 +37499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.680658297 +37500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.296442215 +37501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.056540284 +37502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.456348898 +37503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.225210859 +37504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.361450468 +37505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.977745728 +37506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.386448204 +37507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.032944485 +37509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.369868967 +37508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.526303847 +37511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.258426228 +37510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.016042447 +37512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.28355331 +37514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.625941421 +37513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.750605581 +37515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.597098924 +37517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.189467741 +37516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.105791943 +37518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.52752063 +37519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.539414475 +37520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.691723139 +37521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.372400433 +37522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.705307665 +37523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.101380709 +37525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.64497219 +37524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.048114242 +37526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.329281484 +37527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.009247605 +37528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.525330492 +37529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.208856103 +37531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.445363271 +37532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.728851374 +37533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.447143702 +37530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.577608405 +37534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.591659882 +37535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.072028906 +37536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.674982369 +37537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.337377701 +37538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.942207522 +37539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.388031006 +37540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.015309221 +37542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.347346307 +37541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.135644548 +37543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.204533417 +37544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.388824271 +37545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.00824031 +37546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.394657919 +37547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.693345687 +37548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.508663804 +37549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.049199138 +37551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.126632722 +37550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.036426818 +37552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.173909152 +37553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.196649437 +37554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.590190355 +37555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.578245457 +37556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.189220411 +37558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.177443829 +37557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.225300485 +37560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.089896775 +37559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.422581747 +37561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.275672681 +37562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.700165012 +37564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.869286623 +37563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.757275885 +37565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.451985502 +37566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.228776464 +37567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.362556006 +37569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.168089404 +37568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.160637014 +37570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.394932828 +37571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.368158496 +37572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.390606991 +37573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.848379015 +37574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.292190725 +37575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.365351757 +37576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.750109008 +37578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.580910464 +37577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.243571004 +37580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.690643607 +37579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.865009404 +37581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.943245911 +37582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.705838822 +37583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.061453222 +37584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.007472447 +37585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.134799784 +37587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.668160611 +37586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.109492892 +37588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.156918849 +37590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.229001197 +37589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.356601574 +37591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.38923202 +37592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.302508874 +37593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.207023164 +37594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.040236962 +37596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.626204652 +37595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.606636137 +37597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.239293523 +37598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.352145907 +37599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.033259135 +37600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.027292226 +37601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.940736276 +37602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.048514237 +37603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.273432336 +37604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.65302546 +37605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.574364868 +37606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.068146463 +37607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.435841526 +37608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.097929121 +37609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.217497676 +37610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.132180737 +37611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.290641577 +37613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.378995479 +37614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.330619305 +37615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.557379366 +37612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.77952752 +37617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.326610472 +37616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.01159772 +37618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.654227121 +37619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.93620031 +37620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.117374976 +37621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.746398362 +37622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.017254609 +37623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.512987827 +37624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.664727314 +37625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.151025196 +37626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.243085511 +37627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.652003634 +37628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.151639497 +37629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.399571615 +37632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.680009507 +37630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.639996191 +37631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.612068518 +37633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.373692708 +37634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.729706753 +37635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.113476723 +37637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.239089549 +37636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.076467538 +37639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.902124814 +37638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.396933413 +37641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.057772711 +37642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.208645377 +37640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.66858994 +37643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.364221089 +37644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.985400326 +37645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.23740825 +37647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.789850832 +37646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.479762516 +37649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.277220693 +37648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.60311949 +37651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.676998173 +37650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.697245303 +37653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.512600967 +37652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.425635517 +37654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.023557382 +37655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.749856962 +37656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.195491492 +37658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.249251956 +37657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.149982501 +37659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.283934711 +37660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.342617966 +37661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.411604984 +37662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.392707858 +37664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.614968119 +37663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.455198698 +37666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.023108814 +37665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.519060929 +37667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.927314312 +37668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.114595581 +37669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.169157449 +37670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.554550119 +37671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.530498662 +37672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.033745961 +37673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.769297491 +37674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.358998421 +37676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.853909551 +37677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.586366278 +37675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.761731532 +37678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.562861391 +37679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.133161579 +37680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.741926697 +37681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.399312558 +37682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.512175481 +37683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.788423542 +37684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.904391545 +37686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.199359106 +37685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.198777033 +37687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.651426974 +37688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 1.038075743 +37689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.40719173 +37690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.203665893 +37692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.297952279 +37691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.33960484 +37695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.288962136 +37696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.446902263 +37693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.177459296 +37694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.487989823 +37697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.408988929 +37698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.226690322 +37699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.621598404 +37700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.022117275 +37701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.475945148 +37702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.58718593 +37703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.583686967 +37704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.635331702 +37705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.366777884 +37708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.934145235 +37707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.252930984 +37706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.035073326 +37709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.257055733 +37710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.367177097 +37711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.72024361 +37712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.097233534 +37713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.5502622 +37715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.218630606 +37714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.100956926 +37718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.694564139 +37716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.463047803 +37717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.083812195 +37719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.298385072 +37720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.375901798 +37721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.726049242 +37723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.34215357 +37722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.588706523 +37724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.299278978 +37726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.095181308 +37725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.390624408 +37727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.335331385 +37729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.840003714 +37730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.935946355 +37731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.07686644 +37734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.557529888 +37733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.319638642 +37732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.184875888 +37728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.882440232 +37735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.289552898 +37736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.0131211 +37738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.361544999 +37737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.268379515 +37740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.710518599 +37739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.364511946 +37741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.230636031 +37743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.933687543 +37742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.488595527 +37744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.10706219 +37745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.353172202 +37746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.727567325 +37747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.645333838 +37748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.464287238 +37749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.145074333 +37750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.314863643 +37751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.525842913 +37752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.111152796 +37753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.737856521 +37754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.312252396 +37756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.742299999 +37758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.337729938 +37755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.525436725 +37757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.087467177 +37760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.029708363 +37759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.241757421 +37761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.96703143 +37762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.499463031 +37764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.811994457 +37763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.587763585 +37765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.009069246 +37766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.987569588 +37767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.703223739 +37768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.070725396 +37769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.6404677 +37770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.527196358 +37772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.03389815 +37773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.453738639 +37774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.890917822 +37771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.569832131 +37775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.612988871 +37778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.238697411 +37777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.248616073 +37779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.263150938 +37776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.552248118 +37781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.948847569 +37782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.499648053 +37780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.22549372 +37783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.039568677 +37784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.096452116 +37785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.66671909 +37789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.272510677 +37788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.035917658 +37787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.071112765 +37786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.659952629 +37790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.883256469 +37791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.016647028 +37793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.029084975 +37792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.700783805 +37794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.454107043 +37795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.266839189 +37797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.209477402 +37798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.52284534 +37796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.108688128 +37799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.562954276 +37800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.379958986 +37801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.592292306 +37802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.049900492 +37803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.444695789 +37804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.421002866 +37806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.557378466 +37807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.348576761 +37805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.538829961 +37809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.545940579 +37808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.392184705 +37812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.733112897 +37811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.111234565 +37810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.500000128 +37815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.31076202 +37814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.2963266 +37817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.246195563 +37820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.007611345 +37819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.937024458 +37818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.38555254 +37816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.758922093 +37813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.517944668 +37821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.849925141 +37822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.142175066 +37823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.367162972 +37824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.389505355 +37825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.401593746 +37826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.408254969 +37827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.67106842 +37828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.512888493 +37829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.310013644 +37830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.362905727 +37831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.619283048 +37832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.896149301 +37833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.583292616 +37834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.121418215 +37835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.534068389 +37837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.505320106 +37838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.117374824 +37836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.008742641 +37839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.251348287 +37840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.021446622 +37841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.43373649 +37843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.765933199 +37844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.297456796 +37842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.102160014 +37845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.542230915 +37846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.451153416 +37848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.876936457 +37847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.114759505 +37849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.28677274 +37851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.065507724 +37850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.667268602 +37853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.311032469 +37852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.36934287 +37855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.88231163 +37856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.190510564 +37857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.575231991 +37858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.228486329 +37859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.16765939 +37860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.292191907 +37861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.987825821 +37854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.029289351 +37863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.123359808 +37862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.187913023 +37864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.490776208 +37865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.424066342 +37866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.185251046 +37867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.321613619 +37869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.673679395 +37870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.283712761 +37868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.292277106 +37871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.217992451 +37872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.301779216 +37873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.922502948 +37875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.235819266 +37877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.505348256 +37874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.120765718 +37878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.630965669 +37879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.710529888 +37880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.064264681 +37876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.607719247 +37881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.329805502 +37882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.041710289 +37883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.917572365 +37884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.129160872 +37886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.416799942 +37885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.327789695 +37887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.810864527 +37888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.035570824 +37890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.245246905 +37889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.993830207 +37891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.054597741 +37892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.039795246 +37893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.217758067 +37894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.149048378 +37895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.458656845 +37897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.769274896 +37899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.37341184 +37898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.566601863 +37900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.418671821 +37896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.410792449 +37902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.536866861 +37901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.179418809 +37903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.908301066 +37904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.781145742 +37906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.592987727 +37907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.160417825 +37905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.687120861 +37909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.797645059 +37910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.418124275 +37908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.558558502 +37911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.430458913 +37912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.477060471 +37913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.117681468 +37915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.213181865 +37916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.133369976 +37914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.509944136 +37917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.378896403 +37918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.61767662 +37919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.225882247 +37921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.725273661 +37922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.578959196 +37920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.303723547 +37924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.476690092 +37925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.208823682 +37923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.986142689 +37927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.338341459 +37926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.452877689 +37929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.31737 +37928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.046727366 +37930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.216103272 +37931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.207743878 +37932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.679529622 +37933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.816794938 +37934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.165865296 +37935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.787004579 +37936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.527814779 +37938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.485709981 +37937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.561263419 +37939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.863477277 +37940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.016404642 +37941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.360835839 +37942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.567718875 +37944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.090025418 +37945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.458339885 +37943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.731037996 +37946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.055870116 +37948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.450499826 +37947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.103350166 +37949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.295403322 +37950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.498177583 +37951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.285283226 +37952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.144931338 +37953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.940381468 +37954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.028692951 +37955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.330029267 +37956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.085350144 +37957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.646943266 +37958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.808235053 +37959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.128560949 +37960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.468300226 +37963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.360087836 +37962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.33913391 +37964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.28933499 +37965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.075239863 +37961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.557531839 +37966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.653512227 +37967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.013435087 +37968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.498599847 +37970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.955716803 +37969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.090076004 +37972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.239611945 +37971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.039000803 +37973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.701888492 +37975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.6044724 +37974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.456191366 +37976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.67615574 +37978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.079728719 +37977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.006549752 +37979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.551254468 +37980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.141702063 +37983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.190461408 +37981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.288211082 +37982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.817888391 +37984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.404790481 +37985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.194908559 +37986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.876778362 +37988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -1.778961447 +37987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.812904057 +37989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.679530932 +37991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.423650176 +37992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.922856563 +37993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.475818388 +37994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.796832406 +37990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.988615343 +37996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.982220874 +37995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.671989039 +37997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.482602363 +37998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.268233176 +37999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.142773287 +38000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.377579407 +38002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.245950741 +38001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.115236294 +38003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.579002877 +38004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.099602233 +38005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.245082135 +38007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.669138559 +38008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.083150712 +38006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.561574449 +38010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.772994532 +38011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.443600522 +38013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.736590178 +38012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.920636036 +38014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.019514545 +38016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.08651315 +38015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.093501793 +38009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.004224813 +38017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.841875644 +38018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.316743529 +38019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -1.159091209 +38020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.167768321 +38022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.436784786 +38021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.630952244 +38023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.177870758 +38024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.088269208 +38025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.568472086 +38027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.136939213 +38026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.764722896 +38029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.445733779 +38028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.191069603 +38030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.102461003 +38031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.264387007 +38033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.479532812 +38034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.626838263 +38035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.260671295 +38037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.208309143 +38036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.1782015 +38032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.069886669 +38038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.514574734 +38039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.005898894 +38040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.187585853 +38041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.691342336 +38043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.272416337 +38044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.34654509 +38042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.598958749 +38045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.511158565 +38046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.389020545 +38047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.94010098 +38048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -1.045239003 +38049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.210333387 +38053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.580885645 +38052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.618514236 +38054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.149210447 +38050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.342845733 +38055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.684247411 +38051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.255479069 +38056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.275194352 +38057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.578247406 +38058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -1.219241859 +38061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.010326742 +38059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.10595277 +38064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.438270275 +38063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.402207257 +38060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.042584202 +38062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.597175877 +38065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -1.13390346 +38066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.081173339 +38068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.302663703 +38067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.20635822 +38071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.436066635 +38069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.744125446 +38072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.244183048 +38073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.68451145 +38070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.789489878 +38075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.370193768 +38074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.301105679 +38076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.06037213 +38078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.670046569 +38077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.742611017 +38079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.20006041 +38080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.17976256 +38081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.453769374 +38083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.098220045 +38084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.689706717 +38082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.778015466 +38085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.570149905 +38086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.33430105 +38087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.309005338 +38088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.026186034 +38090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.223727015 +38089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.040453845 +38092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.067889493 +38091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.783859401 +38093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.099058233 +38095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.248698764 +38094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.168519866 +38096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.503985752 +38097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.379203192 +38098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.275610127 +38101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.419151932 +38100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.270741064 +38103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.137959471 +38099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.327828687 +38102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.374669296 +38104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.965671536 +38105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -1.057335977 +38106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.445394843 +38107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.524099911 +38109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.86694333 +38111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.514359029 +38112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.532890449 +38108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.5130623 +38110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.846985994 +38113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.089186407 +38115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.382886496 +38114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.951417035 +38116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -1.009336638 +38119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.146690151 +38118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.572617096 +38120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.229719859 +38117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.367749624 +38121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -1.016501167 +38122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.211669278 +38123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.425773756 +38124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.656001095 +38125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.238012888 +38126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.457280341 +38129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.113212562 +38128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.087218512 +38127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.196188176 +38130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.170306948 +38136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.361282421 +38134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.759944446 +38132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.500416432 +38131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.32064105 +38133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.638410022 +38137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.751201075 +38135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.618272154 +38138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.221555277 +38140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.023436635 +38143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.61212823 +38142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.612293281 +38144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.575409728 +38141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.28322221 +38145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.130063332 +38139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.160597724 +38146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.374308366 +38147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.154034868 +38150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.107649585 +38148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.529883626 +38149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.113457321 +38153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.164689919 +38154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.2060989 +38152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.381578684 +38151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.25894632 +38155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.019731761 +38156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.631743071 +38157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.498460806 +38160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.293160633 +38159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.259675563 +38162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.209318261 +38161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.355068735 +38158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.011591248 +38163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.284313253 +38164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.148774551 +38167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.050645099 +38169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.583372741 +38168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.272398678 +38165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.912126953 +38166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.558080396 +38170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.474380228 +38171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.072016167 +38172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.031228885 +38173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.339579833 +38175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.506296736 +38176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.856269949 +38174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.195356206 +38177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.224080172 +38179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.208518273 +38180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.830685256 +38178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.360906639 +38182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.582954606 +38183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -1.033475486 +38184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.033813857 +38185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.649917421 +38181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.013247591 +38186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.204625794 +38187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.177812577 +38188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.538447804 +38189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.02363508 +38190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.57318153 +38192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.058208805 +38193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.545232019 +38191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.569787997 +38194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.633066136 +38195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.549762892 +38196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.232092047 +38197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.07271707 +38198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.335989149 +38199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.690560159 +38202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.503537223 +38200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.117007751 +38201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.244932479 +38204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.160869152 +38205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.48541697 +38203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.639981699 +38207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.004986207 +38206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.0478518 +38208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.342626932 +38209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.342368108 +38210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.60599366 +38212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.379184292 +38211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.251024153 +38214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.64089414 +38213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.443196966 +38215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.130015417 +38216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.804135173 +38217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.290963283 +38220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.514173787 +38219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.755655945 +38218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.067583009 +38221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.843394223 +38223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.070150243 +38224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.071394153 +38222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.246882449 +38225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.249963818 +38226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -1.040431781 +38227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.728007679 +38228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.219390704 +38229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.415443056 +38231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.548831066 +38230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.153679621 +38233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.035377809 +38232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.191929886 +38235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.610452972 +38234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.252253533 +38238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.18495961 +38237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.461792203 +38236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.934728235 +38239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.404222656 +38242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.439099167 +38240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.591811279 +38241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.267674198 +38243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.609826751 +38246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.743352318 +38244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.694585874 +38245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.466638585 +38247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.273468456 +38248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.153702579 +38249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.719097382 +38250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.001475509 +38252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.250353775 +38251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.054405846 +38253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.346638745 +38254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.311326835 +38255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.783836862 +38257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.626970277 +38258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.270378368 +38256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.623753828 +38259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.817505675 +38260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.129796995 +38262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.633555935 +38261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.419097261 +38263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.316055767 +38266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.176625053 +38264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.134412981 +38265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.609151238 +38267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.287027685 +38270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.839390111 +38269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.429195909 +38271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.193181244 +38268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.057991298 +38273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.166939356 +38272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.118222223 +38274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.076574059 +38275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.28268179 +38276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.393471678 +38278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.197764875 +38277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.730895025 +38279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.470479406 +38280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.395548787 +38281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.11914191 +38282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.887178678 +38283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.325500046 +38286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.786915536 +38284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.462938033 +38285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.55260068 +38288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.314887323 +38289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.329163308 +38290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -1.004242719 +38291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.24080035 +38287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.390255404 +38292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.316137256 +38293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.837690265 +38294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.145986749 +38295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.332713387 +38297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.810827778 +38296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.265573713 +38298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.4983654 +38299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.292671763 +38301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.001178057 +38300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.373055676 +38302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.899902045 +38305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.578685376 +38304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.136490802 +38306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.821228273 +38303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.022140667 +38308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.410827623 +38310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.079635239 +38309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.593194409 +38312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.240903123 +38307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.441864003 +38313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.162233783 +38314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.375968805 +38311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.834013175 +38315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.077043812 +38316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.490928751 +38318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.756987191 +38319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.766477613 +38317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.317384184 +38320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.065462085 +38321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.745172086 +38322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.146361621 +38323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.240743148 +38326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.692522817 +38328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.087686334 +38329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.919974496 +38325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.256509966 +38324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.473995373 +38330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.474864168 +38327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.567440378 +38331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.138160103 +38334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.228378021 +38336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.06955097 +38333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.404760923 +38335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.65191002 +38332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.240132496 +38337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.69932676 +38338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.00875666 +38342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.315226172 +38339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.129555124 +38341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.440890629 +38340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.78977943 +38344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.007505883 +38345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.223578741 +38343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.281943955 +38348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.537113085 +38350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.66071722 +38349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.47524354 +38351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.18771581 +38353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.6046529 +38347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.356559093 +38352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.18025986 +38346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -1.166019002 +38354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.271242579 +38356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.794955613 +38358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.90237709 +38357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.303970014 +38359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.278472169 +38360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.39043843 +38355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.542284415 +38361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.197011909 +38362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.832014181 +38365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.454368994 +38366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.333248066 +38367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.870052055 +38368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.380811861 +38363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.532684491 +38364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.149323526 +38370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.434851049 +38369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.473848518 +38372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.239888532 +38371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.693558004 +38374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.257980995 +38373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.028693466 +38375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.075153275 +38376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.291685633 +38377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.22596086 +38378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.242405779 +38379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.457447147 +38382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.658832571 +38380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.75924026 +38381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.060251997 +38383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.084535502 +38384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.857963145 +38385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.380769418 +38387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.339201554 +38389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.020389568 +38388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.206364596 +38390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.275790144 +38386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.457075636 +38391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.989953378 +38392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.28682485 +38393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.029335158 +38394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.31601321 +38396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.204120582 +38395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.515366623 +38399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -1.028650302 +38397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.210583304 +38398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.079496834 +38400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.889466991 +38401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.06405359 +38402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.386068479 +38403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.084951672 +38404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.745611072 +38406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.607396524 +38408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.022817678 +38409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.033396451 +38410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -1.010241526 +38412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.416670702 +38405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.333690814 +38407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.652539555 +38411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.661148808 +38413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.013908018 +38414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.118987229 +38415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.13216762 +38416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.3755408 +38417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.486251268 +38418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.648906092 +38420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.518755672 +38419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.541206984 +38421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.504810837 +38423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.378596428 +38422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.254742774 +38424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.215610688 +38425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.484404736 +38426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.43050023 +38427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.303089084 +38429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.9974556 +38428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.321645546 +38430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.181328543 +38431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.296102323 +38432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.536883613 +38434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -1.121651307 +38435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.570053057 +38433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.308827542 +38436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.914952924 +38438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.141349536 +38437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.091530808 +38439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.5023071 +38440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.568898948 +38442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.547113457 +38441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.52139727 +38443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.363591538 +38444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.200954461 +38445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.210873819 +38446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.160070278 +38447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.471025111 +38448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.197950163 +38449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.141050711 +38450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.173717942 +38452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.493897959 +38451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.323939404 +38453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.541398631 +38455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.408488992 +38456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.187407997 +38457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.134845856 +38458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.432346325 +38460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.069774684 +38454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.359955695 +38461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.205498877 +38459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.174567687 +38462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.677845696 +38463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.937383913 +38464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.386466501 +38466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.79018383 +38465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.56411831 +38469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.209250429 +38468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.443804427 +38470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.460368993 +38471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.241167875 +38467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.475023962 +38472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.266418855 +38474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.380204663 +38473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.291696367 +38476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.613252717 +38475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.177268999 +38477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.616721603 +38479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.549735964 +38480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.477933576 +38478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.355503719 +38482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.642445312 +38483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.314216906 +38484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.182419989 +38481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.191859748 +38486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.174145427 +38485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.341393187 +38487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.404726704 +38488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.463363513 +38489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.149738732 +38491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.899203245 +38490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.231654506 +38494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.235626391 +38495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.485484465 +38492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.444305188 +38496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.052115509 +38493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.701488546 +38497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.432130508 +38498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.25858914 +38502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.656807787 +38501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.873012252 +38499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -1.136173269 +38500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.464073642 +38503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -1.18608206 +38505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.049928331 +38504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.342601284 +38506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.02137646 +38508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.737624801 +38509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.600273303 +38510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.005446367 +38507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.12058299 +38511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.090766431 +38514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.377776786 +38515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.53141909 +38516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.0130284 +38513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.06396213 +38517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.077091776 +38512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.24713352 +38518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.405223339 +38519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.216651082 +38520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.488105748 +38521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.093781263 +38522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.661251199 +38523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.125970945 +38525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.15009842 +38524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.015202292 +38526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.139050795 +38529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.295486164 +38530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.202294609 +38527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.137395135 +38528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.028512843 +38533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.446850384 +38532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.438896508 +38534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.788002536 +38531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.724019636 +38535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.490267937 +38536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.9401184 +38538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.2897002 +38540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.391621181 +38541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.866921805 +38539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.359039939 +38542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.843012476 +38537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.427489127 +38543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.93734379 +38544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.486067768 +38548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.439655664 +38546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.064751261 +38547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.504120092 +38545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.252601757 +38549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.249554462 +38550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.102213483 +38551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.289524605 +38552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.068001582 +38554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.169849108 +38553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.390620335 +38555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.458520505 +38556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -1.201952833 +38557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.38522884 +38559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.38337099 +38561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.287609386 +38562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.115014734 +38560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.108406427 +38563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.488872951 +38564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.641357597 +38565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.913294393 +38558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.520770161 +38566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.690171096 +38568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.232662132 +38569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.548791443 +38567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.054562172 +38570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.274590471 +38571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.586144964 +38573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.011211713 +38572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.216538982 +38574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.569647689 +38576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.406623169 +38575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.510592563 +38577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.481468126 +38578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -1.021558647 +38579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.238201829 +38580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.584264217 +38581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -1.025351353 +38582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -1.119641413 +38584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.441526862 +38585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.60567212 +38586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.107901773 +38583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.305102963 +38587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -1.000262512 +38588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.807895682 +38590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.027662693 +38589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.200617942 +38593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.475808163 +38591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.167805879 +38594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.658633285 +38592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.055679965 +38595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -1.19741717 +38596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.549770351 +38598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.011727415 +38597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.189064243 +38599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.14221801 +38600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.082330647 +38601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.271303784 +38602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.469575086 +38603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.035423572 +38605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.088934115 +38606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.082940947 +38608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.17931709 +38609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.744502274 +38604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.193980307 +38607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.042340566 +38610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.440712586 +38611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.139312699 +38612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.574379993 +38613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.307244977 +38614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.123537107 +38617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.585154897 +38615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.080366232 +38618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.656673319 +38619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.49801735 +38616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.095306537 +38620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.364066963 +38621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.691239607 +38622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.962092958 +38624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.85418003 +38623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.349095597 +38625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.382808125 +38628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.103663387 +38627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.735180068 +38626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.514273628 +38629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.016782582 +38630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.269924111 +38631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.196227777 +38632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.321877077 +38633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.42141175 +38634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.041016886 +38635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.233455103 +38636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.119631448 +38637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.62855907 +38638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.035394042 +38639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.496019179 +38640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.396964543 +38641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.47618074 +38642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.12103632 +38645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.148441952 +38644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.343642381 +38643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.481253389 +38646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.741498801 +38648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.125449733 +38647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.009201941 +38649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.384172623 +38650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.818850685 +38651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.200457941 +38652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.605472922 +38654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.219518148 +38655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.017975771 +38656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.03846807 +38657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.514549203 +38653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.20718948 +38658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.609349087 +38659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.29378639 +38660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.117297999 +38661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.308928096 +38662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.290052302 +38663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.231078943 +38664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.736113138 +38666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.857982414 +38665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.376991482 +38667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.372108383 +38668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.198011432 +38669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.656928462 +38671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.43940167 +38670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.346959237 +38672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.513151832 +38673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.230764083 +38674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.302691311 +38675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.236270474 +38676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.878050761 +38677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.277997645 +38679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.692500716 +38678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.288999982 +38680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.362991805 +38681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.100991302 +38683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.453467794 +38685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.70525196 +38682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.950886329 +38684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.397016762 +38687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.107190647 +38688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.567324209 +38686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.73897345 +38689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.495783535 +38691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.26914484 +38693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.123099449 +38690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.722304421 +38692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.658157134 +38694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.793796838 +38695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.59827897 +38696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.209275641 +38697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.430841622 +38700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -1.204660261 +38698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.183479016 +38699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.035736278 +38702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.159513301 +38703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.217111062 +38704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.251798414 +38701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.217045846 +38705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.326154799 +38706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.09563103 +38707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.235793092 +38708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.420305907 +38709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.333282728 +38710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.924979762 +38711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.96438982 +38712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.422165398 +38713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -1.004787884 +38714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.168116224 +38715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.67862503 +38716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.503638008 +38717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.255975728 +38718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.229904979 +38719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.015164868 +38721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.946195611 +38720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.467007488 +38723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.492943722 +38722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.126452935 +38724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.526839083 +38725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.185109554 +38727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.461581665 +38726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.160898517 +38728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.263151458 +38729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.244967745 +38731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.262635462 +38730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.058484649 +38732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -1.016418522 +38734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.887118952 +38735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.512747599 +38733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.426090839 +38736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.061721413 +38739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.274137522 +38738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.236258328 +38737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.351843844 +38740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.204620926 +38741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.599437012 +38742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.372706205 +38743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.240437267 +38744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.396027621 +38746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.964324692 +38745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.449424567 +38747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.673804068 +38748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.466888059 +38749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.359116965 +38751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.355366732 +38750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.689169903 +38753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.461176222 +38754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.027236901 +38752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -1.000535856 +38756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.320401013 +38755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.184757072 +38759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.198964504 +38757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.08109995 +38760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.570183299 +38761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.714935103 +38758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.063584611 +38762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.535927507 +38763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.163386219 +38764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.745311232 +38766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.93108853 +38765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.478459691 +38768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.311858924 +38769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.064342752 +38767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.237252027 +38770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.558062773 +38771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.162435202 +38774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.578116151 +38775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.513393881 +38773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.050118932 +38776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.840431381 +38778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.143915228 +38777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.126248778 +38772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.813876497 +38779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.064316708 +38780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.858034909 +38781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.338156333 +38782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.393696511 +38783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.17814364 +38784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.083273597 +38785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.770799995 +38786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.818675825 +38788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.756592661 +38787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.48647848 +38789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.37135355 +38790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.415215238 +38791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.241148148 +38792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.753136627 +38793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.04178289 +38795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.64868178 +38796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.494379765 +38797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.418578802 +38794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.045002955 +38798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.285444715 +38799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.41851482 +38800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.031204639 +38801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.484166064 +38803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.894305906 +38802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.420491979 +38804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.255404402 +38805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.639918134 +38806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.141693685 +38807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.655728106 +38808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.309152265 +38809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.978820413 +38810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.28051768 +38811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.354753044 +38812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.919171202 +38813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.089774022 +38814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.52226275 +38815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.814217585 +38816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.488759275 +38817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.093031878 +38818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.140174725 +38819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.593180272 +38820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.984507307 +38822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.976019868 +38823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.325837131 +38821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.950349052 +38825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.048510737 +38824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.062856656 +38827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.16989293 +38826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.268607816 +38828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.414512389 +38829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.539312975 +38830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.478535561 +38831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -1.051490626 +38833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.053245843 +38832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.40948199 +38834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.165209325 +38836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.076310174 +38835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.002011442 +38837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.456559717 +38838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.173918007 +38840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.523444087 +38839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.148389401 +38841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.465252905 +38842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.490621314 +38843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.245856254 +38844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.621271917 +38845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.147934563 +38846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.595488351 +38847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.329675535 +38849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.388455239 +38848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.386919016 +38850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.021222971 +38851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.284065984 +38852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.198839881 +38853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -1.100043681 +38854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.408406359 +38856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.282760079 +38855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.827691496 +38858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.363723124 +38859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.07423052 +38860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.530044143 +38861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.464831865 +38857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.152532825 +38862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.279693752 +38863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.038956412 +38864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.477744138 +38866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.505989781 +38865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.763986846 +38868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.569426226 +38867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.47245196 +38870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.727379311 +38869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.71180958 +38871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.244302853 +38872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.822160712 +38873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.373310452 +38874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.247216978 +38875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.45245425 +38877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.835792188 +38876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.095841822 +38879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.036401169 +38880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.193544985 +38881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.407469209 +38878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.388442257 +38882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.927554798 +38883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.161724492 +38884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.015106361 +38885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.400098461 +38886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.695176882 +38890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.057618911 +38888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.803745404 +38887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.387012615 +38889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.07745294 +38891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.145449967 +38892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.283407777 +38893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.488420532 +38894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.689212019 +38896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.429923818 +38895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.546747693 +38897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.430676712 +38899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.078059525 +38900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.292532769 +38898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.090170118 +38901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.453068092 +38902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.133260867 +38903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.653122913 +38904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.328048872 +38905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.836355608 +38906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.695181547 +38907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.723787267 +38909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.180958995 +38908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.226611133 +38910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.292125067 +38911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.178039801 +38912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.067309235 +38913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -1.024940478 +38914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.035920678 +38915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.172287905 +38918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.51761282 +38916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.415293018 +38917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.39112791 +38919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.018225407 +38920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.060999836 +38921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.402568541 +38922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.113703155 +38923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.413081166 +38924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.28967182 +38925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.140577044 +38927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.236638834 +38928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.10610602 +38926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.323501428 +38929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.181109714 +38930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.095457088 +38931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.54117182 +38932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.633163819 +38933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.358114728 +38934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.399873158 +38935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.996250676 +38937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.652398356 +38936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.041677352 +38938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.344110663 +38939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.027149542 +38940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.051152881 +38942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.539019035 +38941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.29160346 +38943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.706524752 +38944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.599123561 +38945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.639566009 +38946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.399070651 +38947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.732265048 +38950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.528794578 +38948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.481814114 +38949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.674894648 +38951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.430842905 +38952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.117842548 +38953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.369628589 +38955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.711900315 +38954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.393550729 +38957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.327519535 +38956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.758538428 +38958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.128207448 +38959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.150186004 +38960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.478181 +38961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.257922199 +38962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.248266038 +38963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -1.018135254 +38964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.202665443 +38965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.677168019 +38966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.818289346 +38968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.453541127 +38967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.118277027 +38970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.381726621 +38971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.304944745 +38972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.239840412 +38973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.206425962 +38974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.65157622 +38975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.835991713 +38969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.843349176 +38976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.697952158 +38977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.595487656 +38979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.463187389 +38980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.140292047 +38978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -1.06499729 +38981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.00538427 +38982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.51475552 +38983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.606912836 +38984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.189239849 +38985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.64828543 +38988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -1.097569103 +38986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.420581729 +38987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.159742473 +38989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.389648731 +38990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.219649556 +38992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.190955323 +38991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.840105425 +38995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.870855349 +38996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.52328864 +38993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.358657822 +38994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.430640059 +38997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.031714823 +38998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.615824827 +38999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.578039076 +39000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.442459529 +39003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.137072007 +39002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.080760557 +39001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.417923365 +39005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.035245388 +39004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.337121009 +39006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.347158759 +39007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.74996604 +39008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.933846047 +39010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.122804104 +39009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.167463235 +39012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.077893677 +39011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.603954514 +39013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.35516834 +39014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.024175395 +39015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.834437565 +39017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.76127673 +39016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.701157368 +39019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.258680091 +39018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.788458144 +39020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.873996475 +39021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.914979346 +39023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.765620106 +39022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.164027256 +39024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.248012468 +39027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.443612418 +39026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.786895294 +39029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.459640741 +39028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.170500222 +39025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.404825454 +39030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.357183029 +39031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.208553924 +39032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.018039958 +39033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.028043496 +39036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.664358984 +39035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.713103388 +39038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.423447738 +39039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.523551037 +39037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.153434383 +39034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.054759548 +39041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.227247379 +39042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.802535398 +39040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.650693468 +39043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.150990688 +39044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.261455732 +39046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.787019827 +39047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.006119031 +39045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.2714718 +39050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.297020565 +39052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.193579807 +39051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.162248734 +39049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.531541307 +39053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.143927854 +39048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.352042572 +39054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.022465512 +39055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.06995465 +39056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.260419065 +39058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.290288863 +39059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.255414617 +39057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.589379836 +39061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.276758815 +39060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.577657709 +39062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.357795776 +39063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.755511484 +39064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.529725859 +39066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.096207716 +39067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.248862026 +39068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.450197673 +39065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.047736477 +39069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.599329303 +39071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.197853796 +39070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.526461107 +39072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.016882033 +39076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.764189727 +39075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.411442 +39074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.742534376 +39077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.037958935 +39073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.61144221 +39078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.387523468 +39079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.766166954 +39080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.285553047 +39081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.848039458 +39082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.280493934 +39083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.814846409 +39085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.432192962 +39084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.472868534 +39086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.092764575 +39088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.180595111 +39089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.489047224 +39087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.498366024 +39090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.642632448 +39091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.495477357 +39093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.080773934 +39092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.49339189 +39094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.483471923 +39096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.36241203 +39095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.236626981 +39098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.18932757 +39097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -1.024979566 +39099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.721504606 +39100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.090501909 +39101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.858877516 +39103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.566009024 +39102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.946420007 +39105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.841998619 +39104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.035376377 +39107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.1583294 +39106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.249575551 +39108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.50364078 +39109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.350887132 +39111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.299060622 +39112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.427181585 +39113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.005987617 +39110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.365853 +39115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.824270953 +39114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.403158263 +39117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.347662487 +39116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.908253782 +39119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.038855728 +39120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.682989284 +39121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.885788207 +39122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.81906472 +39123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.709465474 +39118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.336360331 +39124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.433501619 +39125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.577075196 +39126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.215762808 +39127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.010251702 +39128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.130555557 +39130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.241024476 +39129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.296848501 +39131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.705050073 +39132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.231976756 +39134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.2196501 +39135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.5422936 +39133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.391715806 +39136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.272882902 +39138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.410506246 +39139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.101187864 +39140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.771058019 +39141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.326602826 +39137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.253968709 +39143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.107564196 +39144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.176337559 +39142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.293293041 +39145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.001592667 +39147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.183085233 +39146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.235529504 +39149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.096170082 +39148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.103597131 +39152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.326925898 +39151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.711611668 +39150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.806411731 +39153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.425802499 +39154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.581355281 +39155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.277090265 +39156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.243127842 +39157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.403439381 +39159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.49729146 +39158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.046977858 +39160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.324894041 +39161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.030936562 +39162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.003982252 +39163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.189769187 +39164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.403060486 +39165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.097074449 +39166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.598865923 +39168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.617682475 +39169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.49428563 +39171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.106510968 +39172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.072279255 +39167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.668617894 +39173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.491989354 +39170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.641000276 +39174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.780059012 +39176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.671647293 +39175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.224156862 +39177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.65865967 +39179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.732756484 +39178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.366840601 +39181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.392365769 +39182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.27324383 +39180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.131307371 +39183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.370429738 +39186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.549826527 +39184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.203503695 +39185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.197626856 +39188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.425902073 +39187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.410346753 +39189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.643008164 +39190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.23096783 +39192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.510874632 +39191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.480319303 +39194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.176302524 +39193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.217653854 +39197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.186145006 +39195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.019556869 +39198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.157494943 +39196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.354728746 +39199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.839090875 +39200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.300044543 +39201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.498103321 +39204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.242316513 +39202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.501527817 +39205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.15629417 +39206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.196566807 +39203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.080569482 +39208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.819303518 +39209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.194794076 +39207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.473666793 +39212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.283815543 +39210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.579229432 +39211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.656208038 +39213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.658910691 +39214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.597935006 +39215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.710718582 +39216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.141141227 +39217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.58414717 +39218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.34625422 +39219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.424469594 +39220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.627826632 +39221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.632882132 +39222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.275448653 +39223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.322173227 +39226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.629281984 +39224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.625014482 +39227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.562968651 +39228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.499039424 +39229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.241837235 +39230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.116727274 +39225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.487689993 +39231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.230247661 +39233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.716625461 +39232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.55270609 +39234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.105251018 +39236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.212157308 +39237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.107748879 +39238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.32622694 +39235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.044743898 +39239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.337662738 +39241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.501741522 +39240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.612687103 +39243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.606525635 +39242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.406794376 +39244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.151070017 +39245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.079635036 +39248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.33059616 +39249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.530002553 +39246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.509392051 +39247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.210709126 +39250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.525668859 +39251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.18500576 +39253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.519563148 +39254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.514807332 +39257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.177315306 +39252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.618593595 +39258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.221997589 +39255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.076822615 +39256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.005675587 +39261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.080926478 +39259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.510976518 +39260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.495586948 +39263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.382381995 +39264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.572701934 +39262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.388291282 +39265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.689962697 +39266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.6916226 +39268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.18871366 +39267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.003961221 +39269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.483677191 +39271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.465100009 +39272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.026044643 +39270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.280457042 +39273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.599777222 +39275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.341283069 +39276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.212000337 +39277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.509903273 +39279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.738232666 +39280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.108903129 +39278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.795259541 +39283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.227137549 +39282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.274431143 +39284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.644916542 +39274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.623056404 +39281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.297027582 +39285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.78900922 +39287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.676387852 +39286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.450554946 +39289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.3005551 +39288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.081782247 +39291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.630638254 +39292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.5135871 +39293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.151309181 +39295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.489656185 +39294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.714544214 +39290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.593056125 +39296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.16021196 +39298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.499263359 +39297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.821027211 +39299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.40607666 +39300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.508248024 +39302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.211738617 +39301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.235856242 +39303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.331939447 +39304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.404256073 +39305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.82130447 +39307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.814017544 +39306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.662975663 +39308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.766864583 +39309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.464357126 +39310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.855426928 +39312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.013646845 +39311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.522774096 +39314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.379010794 +39315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -1.011364906 +39313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.473628731 +39317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.346077194 +39316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.353741687 +39318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.397041411 +39321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.909747171 +39319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.776661885 +39320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.039797384 +39322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.179200886 +39323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.692720653 +39324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.027222599 +39326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.452634694 +39325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.478303623 +39327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.004687909 +39328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.19463555 +39329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.687114433 +39330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.615521477 +39331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.832735003 +39332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.013560413 +39333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.514664747 +39334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.351294324 +39336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.338329912 +39335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.477838857 +39339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.080621268 +39337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.675484385 +39340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.480907493 +39338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.281951393 +39341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.088789588 +39344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.118902924 +39343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.790341042 +39345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.049696807 +39346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.310605286 +39347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.597419856 +39342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.555535022 +39348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.145911029 +39349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.059908015 +39351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.645879459 +39350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.335988646 +39352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.641398416 +39353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.081671692 +39354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.638499075 +39356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.134170463 +39355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.405393004 +39357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.158906128 +39360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.207118554 +39358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.205888306 +39359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.151828955 +39361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.229262703 +39362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.165784458 +39363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.268234951 +39364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.605476715 +39365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.458050027 +39368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.049226906 +39367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.549759633 +39366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.414151151 +39370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.461293692 +39371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.148914897 +39369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.556669256 +39373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.268968768 +39372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.004712738 +39375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.167994056 +39376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.472695944 +39374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.066988014 +39377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.062649488 +39378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.468947423 +39379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.571795559 +39380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.433905914 +39383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.489825425 +39381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.672335221 +39384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.292140249 +39382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.442414356 +39385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.058892236 +39386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.603459574 +39387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.435569696 +39390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.035863797 +39389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.345716759 +39388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.689161452 +39391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.466255838 +39393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.216095721 +39392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.602757638 +39395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.135849606 +39394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.012610513 +39397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.635868726 +39399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.446287616 +39398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.42381271 +39400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.081668789 +39396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.141542335 +39402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.10049598 +39403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.201759446 +39401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.550896421 +39404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.730739661 +39405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.162654458 +39406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.32963437 +39408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.514227131 +39409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.254798184 +39407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.365477853 +39410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.641725655 +39412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.744692306 +39413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.358060498 +39414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.118910702 +39417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.574336435 +39416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.603726311 +39415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.26501328 +39418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.817786408 +39411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.375401628 +39419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.67478603 +39420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.076213951 +39421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.726665266 +39423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.086127024 +39422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.323471347 +39424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.535951087 +39425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.349287253 +39427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.004814429 +39428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.143689358 +39426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.380238904 +39430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.352925071 +39431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.136271554 +39429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.445458626 +39432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.244389694 +39433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.883002829 +39434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.098358009 +39435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.25143197 +39437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.250928026 +39440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.324472178 +39436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.440268576 +39438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -4.99E-04 +39439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.183231732 +39441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.252913395 +39443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.093903107 +39442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.542959057 +39445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.826760748 +39444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.706501609 +39447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.600912465 +39449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.210140446 +39446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.271737991 +39448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.815449136 +39450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.132895438 +39451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.823525637 +39454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.009871663 +39453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.871118656 +39452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.046935829 +39455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.69190786 +39457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.047523084 +39458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.081997279 +39459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.114335549 +39456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.373225642 +39461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.117171932 +39462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.324071136 +39460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.242763375 +39463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.896850609 +39464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.497920304 +39465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.054230811 +39467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.565567114 +39469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.622931664 +39466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.385078984 +39468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.586055043 +39470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.185101396 +39471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.703498106 +39472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.634751077 +39473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.077003828 +39474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.436935729 +39475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.113083555 +39478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.358839672 +39477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.337201623 +39480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.273528765 +39476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.081602636 +39481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.011001018 +39482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.464572695 +39479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.465909612 +39483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.450139995 +39484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.275413424 +39487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.823141922 +39486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.318468446 +39488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.055630902 +39485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.285879903 +39490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.720105773 +39491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.116356543 +39489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.081012344 +39492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.673554633 +39494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.121121723 +39495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.67222086 +39498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.249233552 +39499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.821879416 +39497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.603601651 +39493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.160799505 +39500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.101071369 +39496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.646146403 +39501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.265440199 +39502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.100880377 +39503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.853663273 +39504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.460347556 +39505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.319343308 +39508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.30835199 +39506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.204082365 +39510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.775336893 +39511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.361732628 +39513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -1.032684134 +39509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.5780291 +39512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.585658415 +39507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.042968013 +39514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.059174363 +39515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.1425583 +39518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.303374416 +39519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.447615065 +39521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.368597248 +39517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.819633341 +39520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.567586936 +39516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.373833587 +39522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.325156828 +39524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.14947882 +39528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.326080535 +39527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.440972172 +39526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.408752025 +39523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.497687321 +39529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.523921476 +39525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.62252661 +39530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.508026569 +39534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.147891155 +39532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.398214772 +39531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.417885461 +39533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.528105417 +39535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.388103519 +39537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.391624168 +39538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.719666476 +39541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.26960455 +39542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.267438102 +39540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.896761957 +39539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.082737048 +39543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.30136336 +39544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.1482732 +39536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.530335455 +39545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.549918449 +39546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.309568597 +39547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.313676201 +39548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.3450908 +39550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.789311471 +39549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.211821395 +39552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.036561099 +39551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.278154177 +39553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.618438832 +39556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.497865149 +39554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -1.037098913 +39558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.413153365 +39559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.24043737 +39557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.119689217 +39555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.166143578 +39562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.533590591 +39564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.047552302 +39563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.712692944 +39561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.035189216 +39560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.050418985 +39566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.727701966 +39567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.402542927 +39568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.406963497 +39569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.080882427 +39570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.1665199 +39571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.476059371 +39572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.257862175 +39573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.712395443 +39565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.088884977 +39574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.196271797 +39576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.454098752 +39578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.05042366 +39577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.711830589 +39581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.075769335 +39575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.039041352 +39580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.362684355 +39582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.010070488 +39583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.814726776 +39586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.863627298 +39587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.487910293 +39584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.373137303 +39585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.508925416 +39589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.42769677 +39588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.716026422 +39579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.334785052 +39590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.345822948 +39592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.098186778 +39594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.243241763 +39593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.063388815 +39597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.206083917 +39591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.743156217 +39596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.514106126 +39598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.595623053 +39595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.228642596 +39599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.5426358 +39600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.610783082 +39603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.365420305 +39601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.917595961 +39605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.536184125 +39604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.249903243 +39606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.166105193 +39607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.770386992 +39602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.450857224 +39608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.855121976 +39610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.301311181 +39612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.636644224 +39609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.073054598 +39613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.655144755 +39611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.419873599 +39614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.026238537 +39615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.539511503 +39616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.781438646 +39617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.566021005 +39620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.96769272 +39621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.693336955 +39618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.571030683 +39619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.104930678 +39622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.391174739 +39623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.043248276 +39624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.567335188 +39626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.386415611 +39627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.30840898 +39628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.047442319 +39629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.367432662 +39630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.199870097 +39632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.183123263 +39625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.156273718 +39631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.293470656 +39636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.37135518 +39637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.286939717 +39634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.894467605 +39635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.1891183 +39633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.404353846 +39639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.865428608 +39638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.071223194 +39640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.445829684 +39642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.746758131 +39644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.009923913 +39641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.065045837 +39645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.559741934 +39643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.275869377 +39647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.214070531 +39646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.371898342 +39648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.061340818 +39651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.638072594 +39652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.441541243 +39649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.040844548 +39650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.372971887 +39653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.358739385 +39654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.245620161 +39655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.285067842 +39656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.059624304 +39658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.3393471 +39659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.443123981 +39657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.85014254 +39661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.248619701 +39663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.376762762 +39662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.79047941 +39664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.133077505 +39660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.794229822 +39665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.247924049 +39666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.046358647 +39668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.106086025 +39667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.81353708 +39669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.517941274 +39673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.269317465 +39672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.0777729 +39670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.15093348 +39675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.685502693 +39671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.745154517 +39676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.028293047 +39674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.749873984 +39678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.415500265 +39679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.089399993 +39677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.198610103 +39680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.506821743 +39682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.706705226 +39681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.293585049 +39683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.468911966 +39684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.72770945 +39685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.565044677 +39686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.408826217 +39687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.181327596 +39689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.512676798 +39690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.816195822 +39691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.668185535 +39688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.907754237 +39692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.329341099 +39693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.46876787 +39694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.177043674 +39695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.409255372 +39696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.146147033 +39697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.010092801 +39698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.013933934 +39700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.316669504 +39699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.155037185 +39701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.16282234 +39702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.321794409 +39703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.345371383 +39704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.615171149 +39706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.773013457 +39708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.737527986 +39709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.372538985 +39705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.934334189 +39707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.18412579 +39710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.275708024 +39711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.656600175 +39714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.348028836 +39712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.357676828 +39713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.572008769 +39715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.603517354 +39717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.477315967 +39716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.563199245 +39719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.325409482 +39721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.014395182 +39722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.169923322 +39718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.470812533 +39723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.5618721 +39720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.558375582 +39725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.220863587 +39726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.249893012 +39724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.485399086 +39728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.501946303 +39727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.660880382 +39729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.232037686 +39730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.071643628 +39731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.091979919 +39733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.58156122 +39732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.193073922 +39734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.221458507 +39736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.745956633 +39738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.850907865 +39737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.740997677 +39740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.216205171 +39739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.133182597 +39735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.774554007 +39743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.208453214 +39742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.008639463 +39741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.059843496 +39745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.054822155 +39747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.641452362 +39748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.488651274 +39746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.709210432 +39751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.035603235 +39750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.27813116 +39749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.533440878 +39744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.458906061 +39752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.265611266 +39755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.128829995 +39753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.029448616 +39756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.282751277 +39754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.553048707 +39757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.087759022 +39758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.048153374 +39759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.263219062 +39762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.490578495 +39763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.642809799 +39764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.437606434 +39761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.467013442 +39765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.716379865 +39767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.219831686 +39766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.606951147 +39768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.147418281 +39770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.473615276 +39769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.808415311 +39771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.678118681 +39772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.467062207 +39760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.407362984 +39773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.698200896 +39775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.648647517 +39774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.082884329 +39777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.437304903 +39780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.445737786 +39778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.193162525 +39779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.258747604 +39781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.405291869 +39783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.453333787 +39782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.486917555 +39784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.579411169 +39786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.026596844 +39785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.572063255 +39776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.173295591 +39788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.791011401 +39787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.348860049 +39790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.607394637 +39791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.11853027 +39794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.58275527 +39792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.22626248 +39795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.264876749 +39793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.057537662 +39797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.031471634 +39796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.121912165 +39789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.355582627 +39800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.354525297 +39802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.229753335 +39799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.058736148 +39801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.543574629 +39798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.392515293 +39803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.381013184 +39806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.516813868 +39805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.632494737 +39808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.519121183 +39809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.554236132 +39810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.365615953 +39804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.668633795 +39811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.948053547 +39813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.384250662 +39812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.091043516 +39807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.278118012 +39814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.808426431 +39816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.253472083 +39817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.250098888 +39815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.463116626 +39818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.539473007 +39820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.022565454 +39822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.55887451 +39819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.290925081 +39825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.198423899 +39823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.577422864 +39821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.462364473 +39828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.135993984 +39827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.01588931 +39826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.433099181 +39829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.640020409 +39830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.074530612 +39824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.209366778 +39831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.0542573 +39832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.118333139 +39835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.285553631 +39836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.596013544 +39834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.270912811 +39838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.629149863 +39837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.098740792 +39840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.250622368 +39842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.470580436 +39833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.777233535 +39843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.144968819 +39841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.215421599 +39844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.463180159 +39839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.364810855 +39845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.602339727 +39846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.055046732 +39847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.11184441 +39848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.096816879 +39849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.432453574 +39850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.856990399 +39852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.319115139 +39853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.865602291 +39854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.505164689 +39855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.912273809 +39857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.084691946 +39858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.371945792 +39859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.398265739 +39856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.441739811 +39860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.222370466 +39851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.707057001 +39862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.195118718 +39861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.002526739 +39863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.729970932 +39864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.033773577 +39866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.010043175 +39867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.307264632 +39869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.700518713 +39868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.568595924 +39870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.068142852 +39872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.531674045 +39865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.799821804 +39873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -1.031644078 +39875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.157251351 +39874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.540506971 +39871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.507273207 +39877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.777509782 +39876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.197995439 +39879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.374784674 +39878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.25888982 +39880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.164727175 +39881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.168600625 +39882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.238816583 +39883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.038146008 +39886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.354206668 +39884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.612524439 +39887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.031786586 +39885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.842270414 +39890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.285582454 +39888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.117352092 +39889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.333631038 +39891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.031056609 +39892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.623236164 +39895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.646911501 +39894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.088316367 +39893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.216943617 +39896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.170792629 +39897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.627090588 +39898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.657427634 +39899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.524706447 +39900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.173745109 +39901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.50020245 +39904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.426420119 +39905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.719056977 +39906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.321335908 +39902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.520222702 +39908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.069236238 +39903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.532863543 +39907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.664978648 +39909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.434808629 +39911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.35671852 +39910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.508254342 +39913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.258657395 +39912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.165827042 +39914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.304955679 +39915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.647006596 +39916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.322616218 +39917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.556148121 +39918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.019813918 +39919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.527334641 +39921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.713932775 +39923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.319176724 +39922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.115453171 +39920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.131823014 +39925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.022308555 +39926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.148178593 +39924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.114049297 +39928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.046766155 +39929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.101019164 +39930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.539944171 +39931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.199369449 +39927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.04712059 +39932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.096783194 +39933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.573788718 +39934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.297210658 +39936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.040053587 +39935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.030848498 +39937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.716424727 +39939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.326789681 +39938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.412409988 +39940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.395595953 +39941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.235461242 +39944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.197125379 +39943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.133997388 +39945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.664335672 +39942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.184868119 +39946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.573628092 +39947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.111542589 +39948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.421740551 +39949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.203317128 +39951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.251748986 +39953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.07067766 +39950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.456433248 +39952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.316078582 +39954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.405622191 +39955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.118670857 +39956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.821806142 +39957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.688201734 +39960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.045122468 +39961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.36107575 +39958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.616273805 +39962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.634734718 +39963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.023460679 +39959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.469266612 +39964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.322902006 +39965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.412021125 +39966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.375311255 +39968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.559411767 +39967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.129808881 +39969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.214985729 +39970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.157858504 +39971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.625793057 +39972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.867183447 +39974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.306192247 +39973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.03147874 +39975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.479945327 +39977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.312711006 +39976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.310153919 +39978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.268585013 +39980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.35350592 +39979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.548922001 +39981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.628054708 +39982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.821724723 +39983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.751281618 +39984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.611569192 +39985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.467443282 +39986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.256681906 +39987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.383869878 +39990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.019232837 +39991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.472350655 +39988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.166036929 +39989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.465319042 +39993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.007307453 +39992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.351443409 +39994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.278608088 +39995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.002446553 +39997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.18712616 +39996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.100713773 +40000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.384941954 +39999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.640633507 +40001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.361530294 +39998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.563140212 +40002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.4267124 +40003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.742133486 +40004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.459560483 +40005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.7612994 +40006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.846026146 +40009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.82399663 +40010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.593836523 +40008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.469082428 +40007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.363248079 +40011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.250546857 +40013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.51734536 +40012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.546801783 +40014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.77131536 +40016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.420350632 +40017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.332271736 +40018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.681247139 +40019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.264525997 +40022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.395867179 +40021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.82807772 +40015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.479522554 +40020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.170849757 +40023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.590436987 +40024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.532202773 +40025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.334374252 +40028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.565201938 +40027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.242775256 +40026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.174333016 +40029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.335418061 +40030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.118047723 +40032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.233370638 +40033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.627767384 +40035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.174086095 +40031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.361458482 +40034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.312480905 +40036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.737116352 +40038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.001170892 +40039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.514993884 +40040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.051047575 +40037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.448432161 +40041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.611288251 +40042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.514431973 +40043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.362346097 +40044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.693555899 +40045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.541834658 +40046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.0014626 +40049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.462195413 +40050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.457772742 +40048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.349291702 +40052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.396798155 +40047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.703437242 +40051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.100542867 +40053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.449582811 +40054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.775206256 +40055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.612203878 +40056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.02379733 +40058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.624444904 +40059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.003964777 +40060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.772631299 +40057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.474876674 +40061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.364298663 +40062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.353533192 +40063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.62561491 +40064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.73222754 +40067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.118026564 +40066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.41609836 +40065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.624545044 +40068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.197670496 +40069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.205517899 +40071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.066405925 +40072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.326464847 +40070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.315752473 +40074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.278414114 +40073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.508458212 +40075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.17611845 +40076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.804768588 +40077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.761654315 +40078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.539140499 +40080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.45565034 +40079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.570759092 +40081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.084888614 +40082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.428755423 +40083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.56551128 +40085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.304068682 +40084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.767765747 +40086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.525159264 +40088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.560665329 +40087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.060799072 +40089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.822243633 +40090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.081207999 +40091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.694149184 +40092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.423374258 +40093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.123176434 +40094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.023325398 +40096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.560790053 +40095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.064694657 +40097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.530442606 +40098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.564705491 +40099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.616634609 +40100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.28489553 +40102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.444746836 +40101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.281610959 +40103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.561344569 +40106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.81809034 +40104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.183574703 +40105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.900506771 +40107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.632199943 +40108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.754960627 +40109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.614903678 +40111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.240050097 +40110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.641776317 +40113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.758065311 +40114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.24040819 +40112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.677231283 +40115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.101197341 +40116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.435333243 +40117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.017233429 +40118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.728138609 +40120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.010771292 +40122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.32119941 +40121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.02939578 +40119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.247418711 +40123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.284559532 +40124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.125682169 +40125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.415680065 +40126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.328571239 +40127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.370838342 +40128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.863954905 +40129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.00986425 +40130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.344133084 +40131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.166451777 +40132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.096294074 +40133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.585072443 +40134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.609379987 +40136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.107415278 +40135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.75609549 +40137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.51460242 +40139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.551176641 +40138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.160336617 +40140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.019631139 +40141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.384978452 +40142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.534835598 +40143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.557932637 +40144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.044436277 +40146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.013527838 +40147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.458409196 +40145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.317549791 +40148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.051939026 +40149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.639015522 +40150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.578638562 +40151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.6198354 +40152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.660404179 +40153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.204044895 +40155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.164947715 +40156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.466258537 +40158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.608122734 +40157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.33979084 +40154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.439841182 +40159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.182642695 +40160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.125372741 +40161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.404480671 +40163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.393273451 +40162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.29831674 +40165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.733715869 +40166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.137805634 +40164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.284855419 +40169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.370224332 +40167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.401398147 +40168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.175929048 +40171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.608252074 +40170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.488236451 +40172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.826844514 +40174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.165764035 +40173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.266067628 +40175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.347754683 +40176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.395311226 +40177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.450490126 +40179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.386249584 +40178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.685324887 +40180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.563796948 +40181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.068268468 +40183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.394244624 +40184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.043293704 +40185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.454142585 +40186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.025339839 +40187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.023415068 +40188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.680648991 +40182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.638576019 +40189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.676035558 +40190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.308078768 +40192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.240133969 +40194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.593795966 +40195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.034169659 +40193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.657559081 +40191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.1739242 +40196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.526902061 +40198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.414730214 +40197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.189994895 +40199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.873088757 +40201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.514746981 +40200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.346615519 +40203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.429566537 +40202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.793578171 +40206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.190650497 +40207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.191954211 +40208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.906318429 +40209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.158468101 +40205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.434033816 +40211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.167130936 +40204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.070585801 +40210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.290865314 +40212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.724377663 +40213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.402462661 +40214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.281922978 +40215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.387295611 +40217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.132441533 +40218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.661048214 +40216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.04303109 +40219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.503483099 +40221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.35858038 +40220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.065035697 +40222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.108903723 +40223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 3.87E-04 +40224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.548197471 +40226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.021907372 +40225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.28831767 +40227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.700791605 +40229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.378836632 +40228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.126678833 +40230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.462848483 +40231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.456783546 +40232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.440972661 +40233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.055879756 +40234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.649259143 +40235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.049122157 +40236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.386589011 +40237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.03729402 +40238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.002580114 +40239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.19663989 +40240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.113914836 +40241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.359512963 +40244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.40611171 +40243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.140541068 +40246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.668185421 +40247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.146747167 +40245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.364064433 +40248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.613035179 +40249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.585100245 +40242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.090706668 +40250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.426807665 +40252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.695692534 +40251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.368461748 +40254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.476837739 +40253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.239141561 +40255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.552651497 +40256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.238393321 +40257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.421238207 +40261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.215986527 +40259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.045136413 +40260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.627884375 +40262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.240391423 +40263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.767242361 +40258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.190333339 +40264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.040017446 +40268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.003623917 +40267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.177325571 +40271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.629445972 +40270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.408973251 +40266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.109793026 +40265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.606895422 +40269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.194711786 +40272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.680029402 +40273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.400805836 +40274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.158635749 +40277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.195392816 +40275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.767573571 +40278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.350572322 +40276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.018664033 +40279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.26190792 +40280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.1774268 +40282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.37461443 +40281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.604024031 +40283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.309151036 +40284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.684798826 +40285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.226901884 +40286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.596900699 +40288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.382528203 +40287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.512222618 +40291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.500290891 +40290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.292681529 +40292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.12667699 +40293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.381373248 +40294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.149798778 +40289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.169878537 +40295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.056330498 +40296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.36734325 +40298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.046559474 +40297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.388045203 +40300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.437265425 +40299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.094237997 +40301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.422899807 +40302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.777422827 +40303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.754693181 +40306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.18139117 +40305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.159453624 +40307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.269143961 +40308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.618199966 +40304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.091709423 +40309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.062877793 +40310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.377808934 +40311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.296759227 +40313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.134683625 +40312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.627621587 +40314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.602084236 +40317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.636292655 +40316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.578106311 +40315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.153277655 +40318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.462201338 +40319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.00615978 +40320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.112109634 +40322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.55616767 +40321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.742567629 +40324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.263320305 +40325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.41020976 +40326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.139057673 +40323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.062589574 +40327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.096241667 +40328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.23330812 +40330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.177455601 +40329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.59543702 +40332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.815786814 +40334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.158964501 +40333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.205340059 +40331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.146703274 +40335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.64597555 +40336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.131812811 +40337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.57518951 +40338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.031090104 +40341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.695298986 +40339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.738992165 +40340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.021835213 +40343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.201021599 +40342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.446060387 +40344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.158269781 +40345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.120118535 +40346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.315395951 +40348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.639022124 +40347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.24250378 +40349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.480890172 +40351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.490435613 +40350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.556016089 +40352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.401223529 +40353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.432908989 +40354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.515665885 +40355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.100707816 +40356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.06178494 +40357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.515016469 +40359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.501917098 +40358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.123474942 +40360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.067279166 +40361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.136775941 +40362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.573220507 +40363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.296568972 +40364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.050710523 +40365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.416083297 +40367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.456870374 +40369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.517040234 +40368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.284687291 +40366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.256214138 +40371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.069111649 +40370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.204799426 +40372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.285594299 +40373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.145064337 +40374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.361033282 +40375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.487831198 +40377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.411685719 +40378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.774826747 +40379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.350144757 +40376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.220699946 +40380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.254568767 +40382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.752247113 +40381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.349331805 +40383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.035694145 +40384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.43100792 +40385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.454626198 +40386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.018354749 +40387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.553931196 +40389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.752260491 +40390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.25942636 +40391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.168639506 +40388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.146805042 +40393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.145302968 +40392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.425478439 +40394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.243164747 +40397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.162919155 +40396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.678130944 +40399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.844775582 +40401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.307419841 +40400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.017182838 +40395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.742348031 +40398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.68370624 +40402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.368879684 +40403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.749228412 +40404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.574795915 +40405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.48056013 +40406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.336410603 +40407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.696808932 +40409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.609966293 +40408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.660949377 +40413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.030884938 +40412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.733536251 +40414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.132395907 +40415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.631644429 +40410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.55819794 +40411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.531337218 +40416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.223498558 +40419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.094906626 +40422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.022160454 +40421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.060219783 +40420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.546880091 +40423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.34445565 +40418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.449672696 +40417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.045785328 +40424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.129177916 +40425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.290284411 +40428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.622130878 +40427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.366477411 +40429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.548914039 +40430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.046021428 +40426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.308376956 +40432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.249388485 +40431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.069906179 +40433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.538880589 +40434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.757238867 +40436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.177066476 +40435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.003317153 +40437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.569547816 +40438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.609535153 +40439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.387415198 +40440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.817704031 +40441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.053087581 +40443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.009262406 +40442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.805690653 +40444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.511507716 +40445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.381845155 +40446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.127362152 +40447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.43036147 +40449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.384193197 +40448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.868543071 +40450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.33158055 +40451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.278590092 +40452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.06777551 +40453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.24586747 +40454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.206144518 +40455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.517673331 +40457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.274021973 +40459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.649369278 +40456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.487648986 +40460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.540674679 +40458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.206012349 +40461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.332685789 +40462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.13578732 +40463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.089786103 +40465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.301558504 +40466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.010895367 +40464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.540789933 +40467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.481050886 +40468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.778634599 +40469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.163129985 +40470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.380426821 +40471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.357370935 +40472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.591653277 +40473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.200024544 +40474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.566960106 +40475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.017154486 +40477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 6.78E-04 +40476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.667844911 +40478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.657256095 +40480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.254880032 +40479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.075738759 +40481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.063840503 +40484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.488408243 +40483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.615454896 +40486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.30456723 +40482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.03021473 +40485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.155937805 +40487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.014305634 +40489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.097218756 +40488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.140238752 +40490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.494540942 +40491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.385923445 +40494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.654074222 +40492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.058351615 +40493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.653203926 +40497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.465286522 +40496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.691970317 +40495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.161984716 +40498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.101324213 +40499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.253598383 +40501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.526720493 +40500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.323190039 +40502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.590614846 +40503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.533680882 +40505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.628180509 +40506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.003251468 +40504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.50294081 +40507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.515488908 +40509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.609982546 +40508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.563449087 +40510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.666549728 +40512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.121727476 +40511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.064253821 +40513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.137038882 +40514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.074364877 +40515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.168643683 +40516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.618783214 +40517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.651151063 +40519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.001318118 +40521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.20452696 +40520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.422088579 +40522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.407905643 +40523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.647611061 +40518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.499310781 +40525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.417207893 +40524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.692270919 +40526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.132478024 +40528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.401996288 +40527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.419141606 +40529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.061250524 +40530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.163701804 +40531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.75013764 +40532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.222905282 +40533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.358272987 +40534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.003150496 +40535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.748643417 +40536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.128906372 +40537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.288294171 +40538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.619040997 +40540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.168382058 +40541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.801117997 +40539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.606945402 +40543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.570727212 +40542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.618862866 +40544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.602096639 +40545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.434739624 +40546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.462688657 +40547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.713868436 +40548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.611051159 +40549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.427190479 +40552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.098875362 +40550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.503492952 +40551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.042670476 +40553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.366434999 +40555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.714447413 +40554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.438329459 +40556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.477090109 +40557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.390716453 +40558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.462961451 +40560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.548499795 +40559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.004226582 +40561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.770257407 +40562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.63860406 +40563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.800169169 +40564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.388383754 +40565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.092725187 +40566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.283046759 +40568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.243464141 +40567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.063516509 +40569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.559325581 +40570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.608926496 +40571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.741502459 +40572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.404298145 +40574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.045551415 +40575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.106062259 +40573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.701696784 +40576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.599290204 +40577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.305804944 +40578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.585082721 +40579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.097446137 +40580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.183161704 +40582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.250513845 +40581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.418489459 +40584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.038731203 +40585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.389950957 +40586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.184853296 +40583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.242708861 +40587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.137983833 +40588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.032035906 +40590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.377634371 +40589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.033056634 +40591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.607214173 +40592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.344529039 +40593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.396577959 +40594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.002211855 +40595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.139271105 +40596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.627722667 +40598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.012270514 +40597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.677299036 +40599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.018868083 +40601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.721226018 +40600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.416398919 +40603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.476441217 +40604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.388049771 +40605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.663949607 +40602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.532550691 +40606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.671524966 +40607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.098094047 +40608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.42000104 +40609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.16553178 +40610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.373372504 +40611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.121309136 +40612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.326414799 +40613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.231168028 +40614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.750552907 +40617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.505461117 +40616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.160242521 +40615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.100818471 +40618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.077314232 +40619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.42263373 +40620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.445761408 +40621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.697922756 +40622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.348223438 +40623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.279135137 +40624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.212323801 +40625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.311403879 +40626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.390224065 +40627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.285727341 +40628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.159471874 +40630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.476396496 +40629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.15668233 +40631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.240422559 +40632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.757983467 +40634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.583801786 +40633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.250006083 +40635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.318024074 +40636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.012104927 +40637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.488378681 +40638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.256573779 +40640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.344224657 +40639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.608810199 +40642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.740788965 +40641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.60522857 +40643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.189349475 +40644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.892984518 +40645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.535672185 +40647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.637222664 +40648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.346685881 +40646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.330259675 +40649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.576009934 +40650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.339945748 +40651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.658192738 +40652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.740018059 +40653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.239282662 +40655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.50613638 +40654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.702463939 +40657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.193928965 +40658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.622498509 +40656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.792464729 +40659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.761763704 +40660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.383007059 +40661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.260839806 +40662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.122583168 +40663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.59059679 +40664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.056401294 +40665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.503136091 +40666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.745568899 +40668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.340877824 +40667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.19216616 +40669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.767465952 +40670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.044011202 +40671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.77251119 +40673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.523602621 +40672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.722363787 +40674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.525833728 +40676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.553996119 +40675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.419237714 +40677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.061520371 +40678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.432891161 +40679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.005185272 +40680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.190427598 +40681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.592726744 +40683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.405936958 +40684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.016498166 +40682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.135690363 +40685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.064371591 +40688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.78519889 +40687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.536448618 +40686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.809800361 +40689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.459178712 +40690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.22550358 +40691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.198275191 +40692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.074835175 +40693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.053456887 +40696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.58358476 +40695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.405947541 +40694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.11819654 +40697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.766943598 +40698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.458089835 +40699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.312031758 +40701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.143601842 +40702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.077519599 +40703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.441954544 +40704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.099701041 +40705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.516520798 +40706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.563512804 +40700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.763002798 +40707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.179832519 +40708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.644960574 +40709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.786339742 +40710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.629587194 +40711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.346839717 +40712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.525339855 +40713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.287242701 +40714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.668511965 +40715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.0596614 +40716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.321476595 +40718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.504393558 +40720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.531384356 +40717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.318832161 +40719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.049475754 +40721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.594408363 +40723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.733309003 +40724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.323508821 +40725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.687439572 +40726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.489461086 +40728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.497080534 +40722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.737021271 +40727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.568998615 +40729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.056498912 +40730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.031312879 +40731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.078567899 +40732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.779030821 +40734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.390120864 +40733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.060419162 +40736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.649558679 +40737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.53292183 +40735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.629083774 +40738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.389225316 +40739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.590744692 +40740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.174396614 +40742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.409757219 +40741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.713352602 +40743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.208384719 +40744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.134180119 +40745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.133925795 +40746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.151772083 +40747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.750893086 +40750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.212787531 +40751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.783140645 +40749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.132713891 +40752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.689744737 +40748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.228448355 +40753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.270568775 +40754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.697335467 +40755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.236894111 +40756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.198808167 +40757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.119101591 +40758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.105687491 +40759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.136178205 +40760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.880447372 +40761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.630637851 +40762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.244912217 +40763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.150531611 +40765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.685601078 +40764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.537080463 +40766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.299573681 +40767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.124656125 +40768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.803356882 +40769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.794784918 +40770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.450742074 +40771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.59984029 +40773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.355480205 +40774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.368586631 +40775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.025375729 +40776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.119137081 +40772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.120716334 +40777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.139233761 +40779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.674326034 +40782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.251053988 +40778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.125047966 +40781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.027482454 +40780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.731527952 +40783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.0148183 +40784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.214783155 +40785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.07085067 +40786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.339704223 +40789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.31714885 +40788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -9.80E-04 +40787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.228773612 +40790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.657395537 +40791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.016283115 +40793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.451689525 +40792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.110063721 +40795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.312833128 +40794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.666060087 +40796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.234187249 +40797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.349136087 +40798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.76694345 +40799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.267570152 +40800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.614450453 +40801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.279718795 +40803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.685605133 +40802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.516495265 +40805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.336618887 +40804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.551267968 +40806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.651873243 +40807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.493412454 +40808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.747165814 +40810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.291852025 +40811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.587967727 +40809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.358784696 +40813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.203051957 +40812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.416545594 +40814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.305311521 +40815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.044130705 +40816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.189936824 +40818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.577078896 +40817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.30211047 +40820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.26357762 +40819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.394279106 +40821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.52205412 +40822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.286996712 +40823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.552359112 +40824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.033057224 +40826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.492366345 +40825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.589212099 +40829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.212245296 +40827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.236158923 +40830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.560011403 +40828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.021222139 +40831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.590512199 +40832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.099494611 +40833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.372695841 +40834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.438373311 +40835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.178533309 +40836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.412680654 +40837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.513600782 +40838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.723143956 +40839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.670175354 +40840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.717740692 +40841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.417339043 +40842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.056547614 +40843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.029287101 +40845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.214909469 +40844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.432710843 +40846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.480543046 +40847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.433355214 +40849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.266290123 +40848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.816913836 +40851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.007162032 +40850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.656292513 +40852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.796630636 +40853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.034638362 +40855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.364771097 +40854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.402822624 +40856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.416779818 +40857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.547911852 +40858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.126662229 +40860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.077303682 +40861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.041506 +40862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.754442534 +40859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.350535899 +40864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.04719769 +40865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.099765144 +40863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.675534089 +40866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.63202534 +40867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.481073755 +40868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.184053946 +40869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.669487367 +40870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.521793941 +40871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.218044695 +40873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.382948333 +40872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.730450148 +40874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.1956499 +40875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.23130227 +40876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.288287973 +40877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.483647739 +40878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.750743148 +40879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.037489122 +40881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.003773014 +40882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.556215482 +40880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.016368527 +40883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.374087784 +40885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.465864489 +40886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.49665577 +40887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.023756042 +40888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.716114757 +40884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.419064339 +40889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.061835745 +40891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.144077344 +40892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.225120621 +40890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.109903015 +40893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.55971547 +40894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.700240644 +40895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.054772251 +40896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.560281893 +40897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.014379968 +40898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.574160371 +40900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.061563413 +40901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.357484432 +40903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.171743356 +40902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.011110428 +40899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.088059985 +40904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.357571289 +40905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.764189067 +40906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.067327029 +40907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.647712984 +40908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.230814727 +40909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.144935291 +40910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.734179735 +40911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.512891417 +40912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.687455758 +40914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.038312921 +40913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.418770746 +40916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.831008812 +40915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.118559779 +40917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.273630291 +40919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.119923377 +40920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.15362052 +40918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.548635759 +40921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.353982182 +40922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.728845556 +40923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.41497289 +40925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.00656586 +40924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.330887096 +40927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.401011273 +40928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.371445059 +40929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.813891693 +40926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.525955062 +40930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.1978163 +40931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.299388588 +40932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.073834584 +40934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.499317144 +40936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.026947472 +40937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.852055318 +40935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.423796923 +40938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.657443624 +40939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.004432567 +40940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.198701323 +40933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.143666276 +40941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.004022288 +40942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.757905689 +40944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.153746093 +40943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.507900292 +40945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.526904821 +40947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.050913857 +40948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.178725329 +40946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.293462719 +40951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.632839363 +40949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.048284946 +40950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.215319077 +40952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.580176639 +40953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.698516659 +40954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.285327791 +40955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.618853297 +40956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.01332494 +40957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.58671506 +40958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.850461308 +40959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.19157162 +40960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.00762649 +40961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.3357776 +40962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.302958599 +40965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.137783444 +40964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.471832407 +40966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.683089962 +40968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.71968351 +40963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.042058999 +40967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.468630955 +40970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.611084608 +40969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.396427067 +40972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.583047616 +40971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.195761836 +40973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.539622978 +40974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.123954091 +40976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.564294083 +40975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.178521214 +40978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.27805361 +40977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.286993842 +40980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.489346338 +40979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.214948556 +40981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.164815387 +40982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.116888663 +40985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.01258507 +40986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.590732145 +40983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.583478937 +40987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.735100839 +40988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.648148792 +40989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.679205496 +40984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.487216923 +40990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.192665481 +40993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.394140524 +40992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.659654736 +40991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.180183071 +40995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.402151052 +40996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.497343218 +40994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.335028954 +40997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.344282955 +40998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.373247205 +40999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.040736675 +41000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.042000692 diff --git a/data-analysis/analysis-future-work/future-work-data/multi-QV-with-Polling correlate-10-issues-maj-vs-min (first issue) b/data-analysis/analysis-future-work/future-work-data/multi-QV-with-Polling correlate-10-issues-maj-vs-min (first issue) new file mode 100644 index 0000000..d68c855 --- /dev/null +++ b/data-analysis/analysis-future-work/future-work-data/multi-QV-with-Polling correlate-10-issues-maj-vs-min (first issue) @@ -0,0 +1,41001 @@ +[run number] vote-portion-strategic utility-distribution number-of-voters perceived-utility-stdev proportion-of-strategic-voters minority-power y-axis x-axis QV? number-of-issues issues-correlation correlate-n-issues [step] item 0 total-payoff-per-issue first issue average payoff +2 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.032554005 -0.38748852 +3 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.681296826 -0.38748852 +4 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.711416783 -0.38748852 +7 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.356329288 -0.38748852 +5 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.726602428 -0.38748852 +6 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.589689234 -0.38748852 +8 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.32777814 -0.38748852 +1 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.800701044 -0.38748852 +9 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.54644579 -0.38748852 +12 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.277924436 -0.38748852 +11 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.452404302 -0.38748852 +13 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.633081417 -0.38748852 +14 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.579980342 -0.38748852 +10 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.049918234 -0.38748852 +15 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.646525655 -0.38748852 +16 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.432803892 -0.38748852 +19 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.469860061 -0.38748852 +17 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.298787724 -0.38748852 +18 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.793876898 -0.38748852 +20 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.039490202 -0.38748852 +22 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.419261558 -0.38748852 +21 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.446554885 -0.38748852 +23 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.435751322 -0.38748852 +26 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.553451822 -0.38748852 +27 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.405722164 -0.38748852 +28 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.04289881 -0.38748852 +25 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.392628972 -0.38748852 +29 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.480752554 -0.38748852 +30 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.36202705 -0.38748852 +24 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.391671136 -0.38748852 +31 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.36132226 -0.38748852 +32 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.432520409 -0.38748852 +33 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.068224584 -0.38748852 +35 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.667759288 -0.38748852 +34 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.693481947 -0.38748852 +36 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.315295512 -0.38748852 +37 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.457062461 -0.38748852 +39 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.582402512 -0.38748852 +38 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.10730452 -0.38748852 +41 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.552805836 -0.38748852 +40 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.731276095 -0.38748852 +43 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.09355502 -0.38748852 +42 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.772217812 -0.38748852 +45 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.712798672 -0.38748852 +44 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.121136479 -0.38748852 +46 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.065103575 -0.38748852 +49 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.508778691 -0.38748852 +52 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.73568899 -0.38748852 +51 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.397546112 -0.38748852 +50 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.66740543 -0.38748852 +47 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.141332788 -0.38748852 +55 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.026121459 -0.38748852 +53 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.060176523 -0.38748852 +56 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.061459864 -0.38748852 +57 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.59760661 -0.38748852 +54 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.206112487 -0.38748852 +60 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.702398431 -0.38748852 +48 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.245853112 -0.38748852 +59 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.0802061 -0.38748852 +61 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.499930603 -0.38748852 +63 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.842559444 -0.38748852 +62 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.174972074 -0.38748852 +58 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.59488578 -0.38748852 +64 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.673779151 -0.38748852 +67 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.33182995 -0.38748852 +66 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.425777776 -0.38748852 +65 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.200889577 -0.38748852 +70 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.604967777 -0.38748852 +68 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.581150565 -0.38748852 +72 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.22879509 -0.38748852 +69 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.654297885 -0.38748852 +74 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.624033286 -0.38748852 +75 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.796148066 -0.38748852 +76 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.458782947 -0.38748852 +73 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.658271271 -0.38748852 +71 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.169045229 -0.38748852 +78 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.043585129 -0.38748852 +77 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.488486368 -0.38748852 +79 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.011081245 -0.38748852 +80 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.284349371 -0.38748852 +82 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.351726085 -0.38748852 +81 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.547528214 -0.38748852 +83 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.002971292 -0.38748852 +85 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.37668304 -0.38748852 +86 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.29809063 -0.38748852 +87 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.438885344 -0.38748852 +88 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.611876044 -0.38748852 +91 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.122894221 -0.38748852 +90 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.444693587 -0.38748852 +89 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.567513786 -0.38748852 +92 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.037370804 -0.38748852 +94 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.167782055 -0.38748852 +95 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.380338755 -0.38748852 +84 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.458079446 -0.38748852 +93 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.256023174 -0.38748852 +97 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.667025142 -0.38748852 +96 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.560984956 -0.38748852 +98 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.445868737 -0.38748852 +100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.310250826 -0.38748852 +103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.614796531 -0.38748852 +104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.451412698 -0.38748852 +102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.755338456 -0.38748852 +99 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.607880959 -0.38748852 +105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.452927444 -0.38748852 +106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.584447047 -0.38748852 +101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.512793744 -0.38748852 +107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.651468272 -0.38748852 +110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.569496567 -0.38748852 +111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.287763023 -0.38748852 +112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.348591516 -0.38748852 +108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.490151481 -0.38748852 +109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.681908831 -0.38748852 +113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.587196676 -0.38748852 +120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.252169258 -0.38748852 +118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.184935836 -0.38748852 +115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.549354873 -0.38748852 +121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.283437615 -0.38748852 +116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.300082529 -0.38748852 +119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.136324121 -0.38748852 +117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.223148849 -0.38748852 +122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.278925986 -0.38748852 +124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.262386893 -0.38748852 +114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.676320487 -0.38748852 +125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.684286184 -0.38748852 +123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.084855658 -0.38748852 +127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.332698865 -0.38748852 +126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.126140018 -0.38748852 +128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.008007955 -0.38748852 +130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.405816906 -0.38748852 +132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.523175571 -0.38748852 +133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.469074586 -0.38748852 +134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.477570149 -0.38748852 +129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.406786331 -0.38748852 +135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.458961302 -0.38748852 +136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.017656707 -0.38748852 +138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.364869031 -0.38748852 +137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.121771859 -0.38748852 +140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.745935782 -0.38748852 +141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.312854985 -0.38748852 +139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.037105095 -0.38748852 +144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.689562164 -0.38748852 +131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.723375491 -0.38748852 +143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.662647681 -0.38748852 +142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.502149621 -0.38748852 +145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.803556706 -0.38748852 +146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.618220343 -0.38748852 +147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.52973965 -0.38748852 +148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.779779759 -0.38748852 +149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.049892803 -0.38748852 +153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.359959022 -0.38748852 +152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.742645915 -0.38748852 +151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.685790892 -0.38748852 +154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.441884874 -0.38748852 +155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.549469087 -0.38748852 +157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.277991877 -0.38748852 +156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.539651493 -0.38748852 +159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.344240119 -0.38748852 +150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.730077579 -0.38748852 +160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.436058647 -0.38748852 +158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.191021561 -0.38748852 +163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.279606412 -0.38748852 +161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.099901058 -0.38748852 +162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.313643285 -0.38748852 +167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.132062912 -0.38748852 +164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.187435642 -0.38748852 +170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.615705538 -0.38748852 +168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.450736055 -0.38748852 +166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.13678234 -0.38748852 +169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.121498005 -0.38748852 +171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.836943218 -0.38748852 +165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.76591044 -0.38748852 +173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.688997152 -0.38748852 +174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.25535708 -0.38748852 +172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.114412485 -0.38748852 +177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.716000409 -0.38748852 +176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.170062032 -0.38748852 +178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.435902624 -0.38748852 +175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.240503444 -0.38748852 +183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.155981571 -0.38748852 +184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.608879805 -0.38748852 +182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.323955873 -0.38748852 +180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.017379056 -0.38748852 +185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.301195329 -0.38748852 +181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.561261152 -0.38748852 +179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.18523787 -0.38748852 +186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.393698216 -0.38748852 +188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.455703354 -0.38748852 +190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.225187859 -0.38748852 +187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.429645378 -0.38748852 +192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.460348789 -0.38748852 +191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.781866392 -0.38748852 +189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.800932966 -0.38748852 +194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.576953221 -0.38748852 +195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.34199674 -0.38748852 +197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.359333562 -0.38748852 +201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.711175268 -0.38748852 +198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.663401855 -0.38748852 +193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.337047523 -0.38748852 +196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.616184365 -0.38748852 +200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.277387294 -0.38748852 +199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.459955565 -0.38748852 +202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.176058609 -0.38748852 +203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.203020926 -0.38748852 +204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.663112639 -0.38748852 +208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.665596813 -0.38748852 +209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.255880573 -0.38748852 +205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.253117798 -0.38748852 +207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.478502936 -0.38748852 +210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.735874436 -0.38748852 +215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.511542284 -0.38748852 +214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.317271761 -0.38748852 +213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.650615652 -0.38748852 +211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.599269884 -0.38748852 +216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.148738561 -0.38748852 +217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.222908529 -0.38748852 +212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.048497858 -0.38748852 +220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.849648094 -0.38748852 +218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.283159389 -0.38748852 +219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.655152481 -0.38748852 +221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.151998433 -0.38748852 +206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.531089502 -0.38748852 +222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.353575184 -0.38748852 +224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.777189948 -0.38748852 +223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.353082088 -0.38748852 +226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.047078046 -0.38748852 +228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.665682067 -0.38748852 +225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.015057803 -0.38748852 +230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.487852585 -0.38748852 +227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.229592355 -0.38748852 +231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.217808794 -0.38748852 +232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.856950284 -0.38748852 +233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.517007221 -0.38748852 +235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.231669568 -0.38748852 +234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.861551329 -0.38748852 +236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.309252256 -0.38748852 +238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.547690791 -0.38748852 +229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.556116364 -0.38748852 +239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.222663118 -0.38748852 +237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.001745987 -0.38748852 +241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.287951151 -0.38748852 +242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.017456897 -0.38748852 +240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.613782117 -0.38748852 +243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.182907913 -0.38748852 +244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.101688663 -0.38748852 +246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.134160335 -0.38748852 +247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.160559364 -0.38748852 +249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.736636772 -0.38748852 +248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.766564862 -0.38748852 +250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.043965461 -0.38748852 +252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.099007715 -0.38748852 +251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.798702796 -0.38748852 +254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.42384165 -0.38748852 +245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.338113669 -0.38748852 +253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.766077292 -0.38748852 +256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.331947365 -0.38748852 +257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.055447868 -0.38748852 +255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.465669526 -0.38748852 +258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.195192568 -0.38748852 +259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.593622384 -0.38748852 +262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.035311999 -0.38748852 +260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.247548621 -0.38748852 +264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.534648964 -0.38748852 +263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.744484723 -0.38748852 +265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.366772142 -0.38748852 +267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.389002904 -0.38748852 +266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.504072137 -0.38748852 +269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.008568863 -0.38748852 +268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.578143615 -0.38748852 +261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.170739431 -0.38748852 +272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 2.61E-04 -0.38748852 +270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.153721871 -0.38748852 +271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.197107392 -0.38748852 +274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.584135873 -0.38748852 +273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.330073248 -0.38748852 +275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.236867548 -0.38748852 +279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.175362227 -0.38748852 +276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.252547668 -0.38748852 +278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.187487283 -0.38748852 +280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.43469627 -0.38748852 +281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.662227807 -0.38748852 +282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.32338854 -0.38748852 +283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.261859541 -0.38748852 +285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.636711493 -0.38748852 +287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.00777834 -0.38748852 +284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.650745994 -0.38748852 +277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.179900211 -0.38748852 +288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.177729775 -0.38748852 +286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.066103758 -0.38748852 +289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.0975959 -0.38748852 +290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.172745551 -0.38748852 +291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.872129004 -0.38748852 +292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.587491412 -0.38748852 +293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.768584312 -0.38748852 +295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.014405399 -0.38748852 +296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.354624707 -0.38748852 +297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.357328394 -0.38748852 +298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.461176526 -0.38748852 +300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.576257212 -0.38748852 +301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.807979202 -0.38748852 +302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.083792888 -0.38748852 +299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.298913064 -0.38748852 +303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.639828793 -0.38748852 +294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.712638052 -0.38748852 +306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.488265544 -0.38748852 +304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.56955899 -0.38748852 +307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.717981434 -0.38748852 +308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.750985139 -0.38748852 +305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.085148618 -0.38748852 +309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.70372222 -0.38748852 +310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.018722195 -0.38748852 +312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.006048527 -0.38748852 +313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.44836811 -0.38748852 +314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.476159723 -0.38748852 +316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.021106577 -0.38748852 +315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.194785169 -0.38748852 +318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.564415948 -0.38748852 +317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.612657318 -0.38748852 +311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.227168196 -0.38748852 +319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.088841289 -0.38748852 +321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.235687089 -0.38748852 +320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.560782835 -0.38748852 +322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.767805185 -0.38748852 +323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.610064435 -0.38748852 +324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.121070538 -0.38748852 +326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.76879725 -0.38748852 +327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.413675184 -0.38748852 +329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.062247699 -0.38748852 +330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.344412725 -0.38748852 +328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.095600414 -0.38748852 +332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.66972116 -0.38748852 +333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.481994246 -0.38748852 +325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.19695565 -0.38748852 +335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.597667698 -0.38748852 +336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.050574403 -0.38748852 +331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.674121841 -0.38748852 +337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.124362702 -0.38748852 +338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.349514151 -0.38748852 +339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.285434556 -0.38748852 +334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.252712766 -0.38748852 +342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.635600063 -0.38748852 +341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.171187977 -0.38748852 +343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.767543447 -0.38748852 +344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.547069388 -0.38748852 +346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.328091094 -0.38748852 +345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.010918962 -0.38748852 +347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.794076766 -0.38748852 +351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.026007268 -0.38748852 +353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.226664314 -0.38748852 +354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.682957421 -0.38748852 +352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.168026656 -0.38748852 +349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.530361383 -0.38748852 +348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.217979042 -0.38748852 +350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.017851907 -0.38748852 +340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.22214578 -0.38748852 +355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.436256724 -0.38748852 +356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.390308178 -0.38748852 +360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.418901352 -0.38748852 +359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.307973611 -0.38748852 +358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.503725125 -0.38748852 +357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.019378512 -0.38748852 +361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.202261811 -0.38748852 +363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.626081194 -0.38748852 +364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.755090762 -0.38748852 +365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.827793806 -0.38748852 +366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.754308539 -0.38748852 +367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.279994543 -0.38748852 +369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.064373594 -0.38748852 +368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.560430884 -0.38748852 +370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.560084036 -0.38748852 +362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.168952931 -0.38748852 +371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.72931463 -0.38748852 +373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.140683264 -0.38748852 +372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.372486084 -0.38748852 +376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.011790533 -0.38748852 +374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.039130197 -0.38748852 +375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.618457383 -0.38748852 +377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.590191228 -0.38748852 +379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.198953051 -0.38748852 +380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.512127758 -0.38748852 +381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.490129518 -0.38748852 +383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.233046571 -0.38748852 +382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.486834715 -0.38748852 +384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.09143699 -0.38748852 +385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.263519447 -0.38748852 +386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.656285162 -0.38748852 +390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.516922434 -0.38748852 +388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.365222903 -0.38748852 +387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.585809632 -0.38748852 +378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.253346114 -0.38748852 +391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.006881457 -0.38748852 +392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.165118779 -0.38748852 +389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.203155183 -0.38748852 +393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.644164794 -0.38748852 +394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.422976368 -0.38748852 +396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.366563719 -0.38748852 +398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.093012606 -0.38748852 +395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.786771729 -0.38748852 +399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.720919914 -0.38748852 +400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.479820867 -0.38748852 +401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.05854049 -0.38748852 +403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.592808559 -0.38748852 +402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.546544729 -0.38748852 +404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.751327328 -0.38748852 +405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.402414575 -0.38748852 +406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.583580628 -0.38748852 +407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.062956534 -0.38748852 +397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.553304318 -0.38748852 +409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.829792859 -0.38748852 +408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.262715498 -0.38748852 +412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.689245728 -0.38748852 +411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.093754326 -0.38748852 +413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.485410982 -0.38748852 +410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.32679348 -0.38748852 +414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.302074761 -0.38748852 +416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.289434554 -0.38748852 +417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.465862902 -0.38748852 +419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.313212797 -0.38748852 +421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.058930561 -0.38748852 +418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.260704168 -0.38748852 +422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.594948336 -0.38748852 +420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.627955711 -0.38748852 +415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.71721028 -0.38748852 +423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.201088344 -0.38748852 +424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.65900555 -0.38748852 +426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.437059316 -0.38748852 +428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.072691206 -0.38748852 +425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.680401533 -0.38748852 +427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.74543523 -0.38748852 +429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.754092793 -0.38748852 +431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.217968849 -0.38748852 +432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.391729201 -0.38748852 +433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.166323319 -0.38748852 +435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.301966354 -0.38748852 +436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.564137133 -0.38748852 +437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.063958464 -0.38748852 +434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.799577017 -0.38748852 +438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.068374915 -0.38748852 +440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.686224483 -0.38748852 +441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.555633115 -0.38748852 +439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.23165548 -0.38748852 +444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.474425873 -0.38748852 +443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.013452363 -0.38748852 +442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.322360143 -0.38748852 +430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.696849389 -0.38748852 +445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.213166405 -0.38748852 +446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.586849934 -0.38748852 +448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.796157883 -0.38748852 +447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.032216952 -0.38748852 +449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.819793673 -0.38748852 +450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.739678124 -0.38748852 +451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.71594156 -0.38748852 +454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.258927865 -0.38748852 +453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.764478499 -0.38748852 +456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.02829698 -0.38748852 +455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.215061413 -0.38748852 +452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.627957552 -0.38748852 +458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.630530382 -0.38748852 +459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.196162534 -0.38748852 +457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.584573264 -0.38748852 +460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.840096366 -0.38748852 +462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.532958687 -0.38748852 +461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.463147705 -0.38748852 +467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.003546104 -0.38748852 +468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.558227116 -0.38748852 +463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.410523903 -0.38748852 +465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.448248091 -0.38748852 +466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.534917992 -0.38748852 +470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.484321818 -0.38748852 +469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.603564703 -0.38748852 +464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.526411354 -0.38748852 +472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.425570312 -0.38748852 +471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.539771549 -0.38748852 +475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.86839953 -0.38748852 +474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.490008099 -0.38748852 +476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.529844559 -0.38748852 +477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.48251471 -0.38748852 +473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.237561485 -0.38748852 +480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.02054148 -0.38748852 +481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.567692355 -0.38748852 +482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.003331061 -0.38748852 +483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.622863529 -0.38748852 +484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.38633628 -0.38748852 +479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.376443619 -0.38748852 +485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.167879016 -0.38748852 +486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.093939152 -0.38748852 +478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.625144501 -0.38748852 +488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.679668804 -0.38748852 +487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.249649357 -0.38748852 +490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.035106391 -0.38748852 +489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.00304489 -0.38748852 +491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.051111666 -0.38748852 +492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.214906021 -0.38748852 +493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.046567725 -0.38748852 +494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.558386054 -0.38748852 +496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.024096979 -0.38748852 +497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.476492357 -0.38748852 +498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.090421953 -0.38748852 +499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.53697451 -0.38748852 +500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.001059928 -0.38748852 +501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.655586047 -0.38748852 +504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.596226627 -0.38748852 +502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.028475071 -0.38748852 +503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.311543882 -0.38748852 +505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.521605233 -0.38748852 +495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.03374772 -0.38748852 +507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.455435902 -0.38748852 +506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.002967474 -0.38748852 +510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.218341975 -0.38748852 +509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.636241729 -0.38748852 +508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.613700159 -0.38748852 +511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.323370581 -0.38748852 +514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.207731253 -0.38748852 +512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.326002531 -0.38748852 +515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.28502938 -0.38748852 +517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.172180988 -0.38748852 +516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.922104304 -0.38748852 +518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.136626442 -0.38748852 +519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.444533234 -0.38748852 +520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.492158006 -0.38748852 +521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.47808309 -0.38748852 +522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.157637078 -0.38748852 +513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.337348341 -0.38748852 +524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.507170679 -0.38748852 +523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.404280837 -0.38748852 +525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.42902734 -0.38748852 +526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.779266807 -0.38748852 +528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.722164624 -0.38748852 +527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.758854139 -0.38748852 +529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.081477897 -0.38748852 +532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.714033481 -0.38748852 +536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.607498586 -0.38748852 +535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.569241045 -0.38748852 +537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.768948207 -0.38748852 +531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.250439502 -0.38748852 +533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.151616385 -0.38748852 +534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.625606371 -0.38748852 +538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.063829516 -0.38748852 +530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.713421844 -0.38748852 +541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.496435889 -0.38748852 +540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.44253344 -0.38748852 +542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.550900857 -0.38748852 +543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.275353012 -0.38748852 +544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.280684268 -0.38748852 +539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.814591245 -0.38748852 +545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.887255979 -0.38748852 +550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.02107532 -0.38748852 +548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.040402351 -0.38748852 +547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.686788603 -0.38748852 +549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.6291069 -0.38748852 +551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.204849224 -0.38748852 +552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.304763329 -0.38748852 +553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.429439604 -0.38748852 +555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.2123491 -0.38748852 +554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.3470499 -0.38748852 +546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.027585557 -0.38748852 +556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.013796269 -0.38748852 +559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.510827068 -0.38748852 +560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.45483733 -0.38748852 +558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.711053723 -0.38748852 +557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.012951523 -0.38748852 +561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.776872079 -0.38748852 +562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.108761519 -0.38748852 +564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.567365212 -0.38748852 +565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.603718567 -0.38748852 +566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.720377554 -0.38748852 +569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.072475858 -0.38748852 +570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.450533849 -0.38748852 +568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.397112963 -0.38748852 +567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.052013183 -0.38748852 +572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.011797822 -0.38748852 +571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.216444378 -0.38748852 +563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.313001352 -0.38748852 +574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.35284096 -0.38748852 +573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.096292954 -0.38748852 +576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.406287778 -0.38748852 +575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.364379004 -0.38748852 +578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.049774703 -0.38748852 +577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.104260431 -0.38748852 +579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.145190085 -0.38748852 +581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.672756192 -0.38748852 +582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.056203095 -0.38748852 +584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.288752509 -0.38748852 +583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.790691873 -0.38748852 +585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.476380375 -0.38748852 +587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.163988883 -0.38748852 +586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.744790129 -0.38748852 +588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.060185746 -0.38748852 +580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.092705885 -0.38748852 +589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.233834693 -0.38748852 +590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.390038223 -0.38748852 +592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.558226507 -0.38748852 +591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.326494377 -0.38748852 +593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.330626108 -0.38748852 +594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.650790632 -0.38748852 +598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.601724934 -0.38748852 +597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.372089131 -0.38748852 +599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.512792312 -0.38748852 +595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.880486054 -0.38748852 +600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.21998804 -0.38748852 +596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.135463489 -0.38748852 +601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.05039956 -0.38748852 +602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.689029748 -0.38748852 +603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.549170338 -0.38748852 +604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.721228757 -0.38748852 +605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.330195171 -0.38748852 +606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.274825482 -0.38748852 +609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.567435665 -0.38748852 +607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.057401728 -0.38748852 +608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.163080819 -0.38748852 +612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.168948121 -0.38748852 +611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.662418078 -0.38748852 +610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.005428728 -0.38748852 +614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.219554682 -0.38748852 +613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.425322577 -0.38748852 +615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.179783271 -0.38748852 +616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.272818957 -0.38748852 +617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.616319227 -0.38748852 +619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.279462736 -0.38748852 +620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.217816579 -0.38748852 +618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.469524192 -0.38748852 +621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.658402872 -0.38748852 +622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.596004142 -0.38748852 +624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.238957373 -0.38748852 +623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.341566948 -0.38748852 +628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.72600732 -0.38748852 +627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.083463242 -0.38748852 +626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.288687381 -0.38748852 +625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.477242048 -0.38748852 +629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.53705252 -0.38748852 +630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.132953095 -0.38748852 +631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.643809331 -0.38748852 +632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.293355793 -0.38748852 +633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.793799577 -0.38748852 +635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.3841927 -0.38748852 +634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.673455167 -0.38748852 +637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.494966769 -0.38748852 +638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.362282261 -0.38748852 +636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.264817756 -0.38748852 +641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.196726338 -0.38748852 +640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.714731294 -0.38748852 +639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.253274753 -0.38748852 +644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.472560825 -0.38748852 +642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.694239507 -0.38748852 +643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.078303745 -0.38748852 +645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.415801455 -0.38748852 +648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.131695797 -0.38748852 +649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.635199206 -0.38748852 +646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.599147122 -0.38748852 +651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.484852602 -0.38748852 +647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.268978412 -0.38748852 +650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.037913611 -0.38748852 +652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.238624048 -0.38748852 +654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.160904984 -0.38748852 +655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.469873044 -0.38748852 +656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.609830236 -0.38748852 +653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.052187593 -0.38748852 +657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.541980398 -0.38748852 +659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.460885496 -0.38748852 +660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.368821076 -0.38748852 +658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.254469712 -0.38748852 +661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.208346977 -0.38748852 +662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.54457356 -0.38748852 +663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.095929982 -0.38748852 +665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.186002287 -0.38748852 +664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.251033587 -0.38748852 +666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.105599849 -0.38748852 +667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.448227021 -0.38748852 +668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.693467185 -0.38748852 +669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.130575329 -0.38748852 +671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.751076597 -0.38748852 +672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.487933093 -0.38748852 +670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.573748378 -0.38748852 +674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.652047263 -0.38748852 +675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.085809694 -0.38748852 +676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.117147993 -0.38748852 +673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.357720362 -0.38748852 +677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.233769112 -0.38748852 +679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.695088404 -0.38748852 +678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.645546871 -0.38748852 +680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.567669688 -0.38748852 +682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.518638482 -0.38748852 +681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.647632132 -0.38748852 +683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.449889231 -0.38748852 +684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.628696491 -0.38748852 +685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.364914814 -0.38748852 +687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.697728177 -0.38748852 +686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.196450724 -0.38748852 +688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.021519128 -0.38748852 +689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.649142454 -0.38748852 +690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.685730959 -0.38748852 +691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.140038166 -0.38748852 +692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.059641021 -0.38748852 +694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.194948223 -0.38748852 +693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.298255633 -0.38748852 +696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.200174106 -0.38748852 +695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.516992054 -0.38748852 +698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.242465013 -0.38748852 +697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.695626913 -0.38748852 +699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.409966833 -0.38748852 +701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.310489668 -0.38748852 +703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.201106245 -0.38748852 +704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.65436464 -0.38748852 +702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.030320456 -0.38748852 +700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.706738426 -0.38748852 +705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.760903999 -0.38748852 +706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.780522939 -0.38748852 +707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.199994335 -0.38748852 +708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.376783901 -0.38748852 +709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.312170555 -0.38748852 +713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.134646995 -0.38748852 +711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.246423382 -0.38748852 +714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.138016996 -0.38748852 +712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.329558916 -0.38748852 +710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.591769541 -0.38748852 +716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.218946692 -0.38748852 +717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.137854021 -0.38748852 +715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.400051272 -0.38748852 +718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.644081461 -0.38748852 +719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.15527318 -0.38748852 +721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.730041601 -0.38748852 +722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.626532919 -0.38748852 +720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.601792936 -0.38748852 +724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.133708027 -0.38748852 +725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.251601442 -0.38748852 +726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.293771787 -0.38748852 +727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.55114453 -0.38748852 +729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.096999136 -0.38748852 +723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.680762051 -0.38748852 +730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.043198137 -0.38748852 +728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.315014204 -0.38748852 +731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.246182922 -0.38748852 +733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.187045555 -0.38748852 +732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.14450689 -0.38748852 +734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.27744074 -0.38748852 +736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.229293676 -0.38748852 +735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.077096168 -0.38748852 +738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.740873705 -0.38748852 +740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.022965983 -0.38748852 +742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.709957389 -0.38748852 +739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.247492688 -0.38748852 +741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 9.05E-04 -0.38748852 +743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.74544034 -0.38748852 +744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.513280869 -0.38748852 +737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.500856587 -0.38748852 +745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.529508511 -0.38748852 +747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.030034209 -0.38748852 +748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.441738605 -0.38748852 +749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.492815317 -0.38748852 +746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.729491976 -0.38748852 +750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.042800048 -0.38748852 +751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.17076327 -0.38748852 +753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.504145624 -0.38748852 +755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.723098757 -0.38748852 +756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.554528873 -0.38748852 +754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.586810147 -0.38748852 +752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.577620145 -0.38748852 +757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.560685917 -0.38748852 +758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.56995107 -0.38748852 +759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.127028822 -0.38748852 +760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.710545582 -0.38748852 +761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.423476427 -0.38748852 +762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.015798096 -0.38748852 +763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.590629033 -0.38748852 +764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.482340377 -0.38748852 +765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.511813192 -0.38748852 +766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.079492012 -0.38748852 +767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.242648408 -0.38748852 +768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.280581996 -0.38748852 +769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.426421578 -0.38748852 +771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.227284637 -0.38748852 +770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.504960719 -0.38748852 +772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.118405759 -0.38748852 +773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.344780612 -0.38748852 +774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.484926946 -0.38748852 +775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.002522602 -0.38748852 +776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.371565577 -0.38748852 +777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.609022493 -0.38748852 +779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.013162463 -0.38748852 +778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.05216695 -0.38748852 +781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.678607794 -0.38748852 +782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.253208585 -0.38748852 +780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.267662908 -0.38748852 +783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.37483821 -0.38748852 +784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.644523224 -0.38748852 +786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.725609588 -0.38748852 +788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.136645693 -0.38748852 +787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.551161656 -0.38748852 +785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.426237273 -0.38748852 +789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.318501989 -0.38748852 +790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.473104133 -0.38748852 +791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.580367579 -0.38748852 +792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.391431348 -0.38748852 +793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.760515918 -0.38748852 +795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.269821712 -0.38748852 +794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.01156263 -0.38748852 +796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.486611712 -0.38748852 +797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.487351267 -0.38748852 +798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.405012391 -0.38748852 +799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.132340696 -0.38748852 +800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.005826783 -0.38748852 +801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.235099997 -0.38748852 +803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.031317276 -0.38748852 +802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.261190205 -0.38748852 +804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.704465675 -0.38748852 +805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.127432068 -0.38748852 +807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.190784847 -0.38748852 +808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.339489945 -0.38748852 +809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.242817053 -0.38748852 +810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.370767488 -0.38748852 +806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.418527548 -0.38748852 +811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.201497702 -0.38748852 +812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.637049734 -0.38748852 +813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.625143791 -0.38748852 +815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.471505732 -0.38748852 +814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.713302193 -0.38748852 +817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.671551636 -0.38748852 +816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.015723836 -0.38748852 +819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.196356512 -0.38748852 +818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.211278986 -0.38748852 +820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.544426589 -0.38748852 +821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.667350502 -0.38748852 +822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.816122289 -0.38748852 +823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.082472651 -0.38748852 +824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.033320401 -0.38748852 +825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.177211759 -0.38748852 +826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.011436617 -0.38748852 +827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.637344759 -0.38748852 +828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.41231327 -0.38748852 +829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.766034422 -0.38748852 +833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.283342447 -0.38748852 +832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.436798924 -0.38748852 +831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.275751437 -0.38748852 +830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.53747241 -0.38748852 +834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.025773566 -0.38748852 +836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.031151348 -0.38748852 +835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.581868898 -0.38748852 +837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.703285469 -0.38748852 +838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.104006605 -0.38748852 +839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.084429645 -0.38748852 +840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.49963861 -0.38748852 +841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.361198239 -0.38748852 +842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.04877303 -0.38748852 +843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.243320884 -0.38748852 +845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.374216332 -0.38748852 +844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.121476134 -0.38748852 +846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.257574635 -0.38748852 +847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.379641715 -0.38748852 +848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.020437973 -0.38748852 +849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.427989557 -0.38748852 +850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.352147064 -0.38748852 +851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.652356366 -0.38748852 +852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.291517273 -0.38748852 +853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.517357432 -0.38748852 +854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.100560271 -0.38748852 +856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.371539499 -0.38748852 +855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.101670501 -0.38748852 +857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.413450746 -0.38748852 +858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.646356405 -0.38748852 +859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.585848936 -0.38748852 +860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.568695829 -0.38748852 +862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.806987825 -0.38748852 +861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.237519561 -0.38748852 +864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.474849064 -0.38748852 +863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.682531978 -0.38748852 +865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.494556471 -0.38748852 +866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.194813448 -0.38748852 +867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.446560226 -0.38748852 +868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.333389859 -0.38748852 +869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.611756628 -0.38748852 +871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.330810667 -0.38748852 +872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.376703555 -0.38748852 +870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.032194952 -0.38748852 +873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.24175237 -0.38748852 +874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.412429359 -0.38748852 +875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.772920239 -0.38748852 +876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.493311052 -0.38748852 +877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.022623241 -0.38748852 +878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.18415705 -0.38748852 +879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.553905204 -0.38748852 +880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.703093218 -0.38748852 +881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.206963457 -0.38748852 +882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.072243496 -0.38748852 +883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.10044568 -0.38748852 +884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.581127392 -0.38748852 +885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.013565022 -0.38748852 +886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.330857251 -0.38748852 +887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.790522611 -0.38748852 +889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.049709722 -0.38748852 +888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.214130247 -0.38748852 +890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.018359371 -0.38748852 +891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.783824277 -0.38748852 +892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.625975502 -0.38748852 +893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.213251403 -0.38748852 +894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.754346065 -0.38748852 +895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.608684258 -0.38748852 +896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.137031258 -0.38748852 +897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.556428166 -0.38748852 +898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.603855402 -0.38748852 +899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.00209066 -0.38748852 +900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.4686752 -0.38748852 +901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.273512953 -0.38748852 +902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.701637049 -0.38748852 +903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.506110085 -0.38748852 +904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.196705219 -0.38748852 +906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.291833543 -0.38748852 +905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.119549358 -0.38748852 +907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.657814054 -0.38748852 +908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.582999493 -0.38748852 +909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.678054295 -0.38748852 +910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.210841095 -0.38748852 +911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.80293524 -0.38748852 +912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.33307739 -0.38748852 +913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.011560425 -0.38748852 +916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.382869802 -0.38748852 +915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.574333889 -0.38748852 +914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.053845031 -0.38748852 +917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.564969713 -0.38748852 +919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.592827212 -0.38748852 +918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.455538249 -0.38748852 +920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.393113221 -0.38748852 +921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.171057803 -0.38748852 +922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.162453968 -0.38748852 +923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.208551092 -0.38748852 +924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.615963102 -0.38748852 +925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.588430204 -0.38748852 +926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.029528969 -0.38748852 +927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.217618503 -0.38748852 +928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.211279181 -0.38748852 +929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.231109663 -0.38748852 +930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.566444707 -0.38748852 +931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.258811167 -0.38748852 +932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.016700053 -0.38748852 +933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.324730066 -0.38748852 +934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.420393513 -0.38748852 +935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.069875836 -0.38748852 +936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.460873555 -0.38748852 +937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.626325505 -0.38748852 +939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.643074077 -0.38748852 +938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.08095183 -0.38748852 +940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.805005421 -0.38748852 +941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.441163582 -0.38748852 +942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.647558542 -0.38748852 +943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.703354683 -0.38748852 +945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.070865092 -0.38748852 +944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.573537515 -0.38748852 +946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.09463402 -0.38748852 +947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.234034319 -0.38748852 +948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.65648334 -0.38748852 +949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.06493883 -0.38748852 +950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.508226582 -0.38748852 +951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.09583941 -0.38748852 +952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.031756479 -0.38748852 +954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.479226254 -0.38748852 +955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.038938074 -0.38748852 +953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.317367021 -0.38748852 +957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.522814424 -0.38748852 +959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.704009901 -0.38748852 +956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.20067766 -0.38748852 +958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.606342467 -0.38748852 +960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.634572497 -0.38748852 +961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.604716466 -0.38748852 +962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.090537487 -0.38748852 +963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.033335736 -0.38748852 +965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.188678522 -0.38748852 +964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.684469081 -0.38748852 +967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.523541308 -0.38748852 +968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.494270247 -0.38748852 +969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.762301913 -0.38748852 +966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.223047875 -0.38748852 +970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.766907834 -0.38748852 +971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.305604484 -0.38748852 +972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.628607577 -0.38748852 +974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.468871027 -0.38748852 +975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.00437531 -0.38748852 +976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.320409912 -0.38748852 +973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.847171636 -0.38748852 +977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.383579824 -0.38748852 +978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.428439058 -0.38748852 +979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.020550193 -0.38748852 +980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.745444158 -0.38748852 +981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.280411323 -0.38748852 +983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.640276104 -0.38748852 +982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.675395159 -0.38748852 +984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.124886799 -0.38748852 +986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.630966144 -0.38748852 +985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.504753887 -0.38748852 +987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.667727275 -0.38748852 +988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.142686465 -0.38748852 +990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.522887956 -0.38748852 +991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.453143192 -0.38748852 +992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.107235342 -0.38748852 +989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.423664527 -0.38748852 +993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.081372243 -0.38748852 +994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.876685808 -0.38748852 +995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.13579887 -0.38748852 +996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.369192252 -0.38748852 +997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.715774472 -0.38748852 +999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 -0.051592265 -0.38748852 +998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.090604597 -0.38748852 +1000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -1 10 1 0.003003059 -0.38748852 +1001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.508949551 -0.36574296 +1004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.440544586 -0.36574296 +1003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.260378044 -0.36574296 +1005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.60967689 -0.36574296 +1002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.236954642 -0.36574296 +1007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.758159061 -0.36574296 +1006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.761602584 -0.36574296 +1008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.53504994 -0.36574296 +1009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.371818607 -0.36574296 +1010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.745281133 -0.36574296 +1011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.688996508 -0.36574296 +1012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.018732034 -0.36574296 +1013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.393370447 -0.36574296 +1014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.732378325 -0.36574296 +1015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.193275096 -0.36574296 +1016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.767329577 -0.36574296 +1017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.394030528 -0.36574296 +1018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.564132233 -0.36574296 +1019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.031919504 -0.36574296 +1020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.411421102 -0.36574296 +1022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.127542129 -0.36574296 +1023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.582743048 -0.36574296 +1021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.132279618 -0.36574296 +1024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.305083348 -0.36574296 +1025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.352259519 -0.36574296 +1026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.368033356 -0.36574296 +1027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.266295002 -0.36574296 +1028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.01975759 -0.36574296 +1029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.555481975 -0.36574296 +1031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.639778544 -0.36574296 +1030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.754761341 -0.36574296 +1032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.234899348 -0.36574296 +1033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.448578544 -0.36574296 +1034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.131632349 -0.36574296 +1036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.319535243 -0.36574296 +1035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.779676196 -0.36574296 +1037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.484564318 -0.36574296 +1039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.304195663 -0.36574296 +1038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.203020701 -0.36574296 +1040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.356923361 -0.36574296 +1041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.346698674 -0.36574296 +1044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.443059223 -0.36574296 +1042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.354749319 -0.36574296 +1043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.560193761 -0.36574296 +1045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.813256858 -0.36574296 +1046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.808600299 -0.36574296 +1048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.250896894 -0.36574296 +1047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.119871208 -0.36574296 +1049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.691569188 -0.36574296 +1050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.276309674 -0.36574296 +1051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.113370851 -0.36574296 +1052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.280754861 -0.36574296 +1053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.013562386 -0.36574296 +1054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.527382074 -0.36574296 +1055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.80765727 -0.36574296 +1057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.872370684 -0.36574296 +1058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.012297583 -0.36574296 +1059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.022087931 -0.36574296 +1060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.317860981 -0.36574296 +1056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.561816225 -0.36574296 +1061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.621107259 -0.36574296 +1062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.118849089 -0.36574296 +1063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.32735342 -0.36574296 +1065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.374862316 -0.36574296 +1066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.252112203 -0.36574296 +1064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.492863482 -0.36574296 +1067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.033932982 -0.36574296 +1068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.197751959 -0.36574296 +1069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.127795803 -0.36574296 +1070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.626616606 -0.36574296 +1071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.016647002 -0.36574296 +1073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.278533728 -0.36574296 +1072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.014265255 -0.36574296 +1074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.071266388 -0.36574296 +1075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.230558587 -0.36574296 +1077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.362016231 -0.36574296 +1076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.667664536 -0.36574296 +1078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.540083912 -0.36574296 +1079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.675710826 -0.36574296 +1080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.3382282 -0.36574296 +1081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.239120711 -0.36574296 +1082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.030555874 -0.36574296 +1083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.251618573 -0.36574296 +1084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.699132653 -0.36574296 +1085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.537152727 -0.36574296 +1086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.523889075 -0.36574296 +1087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.05284497 -0.36574296 +1089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.663464037 -0.36574296 +1088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.693661586 -0.36574296 +1090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.202413539 -0.36574296 +1091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.283149639 -0.36574296 +1092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.316018414 -0.36574296 +1093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.385670628 -0.36574296 +1094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.590473949 -0.36574296 +1097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.022303789 -0.36574296 +1095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.0189584 -0.36574296 +1098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.699458088 -0.36574296 +1096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.058221529 -0.36574296 +1099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.370101201 -0.36574296 +1100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.482652935 -0.36574296 +1102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.380817496 -0.36574296 +1103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.068760142 -0.36574296 +1105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.512944665 -0.36574296 +1104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.402601877 -0.36574296 +1106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.202365633 -0.36574296 +1107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.084947604 -0.36574296 +1101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.670662217 -0.36574296 +1108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.208887715 -0.36574296 +1109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.672083167 -0.36574296 +1111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.515919576 -0.36574296 +1110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.682499399 -0.36574296 +1113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.006472826 -0.36574296 +1112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.428236946 -0.36574296 +1114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.292282078 -0.36574296 +1115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.020303492 -0.36574296 +1116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.695927159 -0.36574296 +1117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.210712073 -0.36574296 +1119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.345607857 -0.36574296 +1121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.669191833 -0.36574296 +1120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.33844743 -0.36574296 +1118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.68991309 -0.36574296 +1124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.417266922 -0.36574296 +1123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.522355152 -0.36574296 +1122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.048373373 -0.36574296 +1125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.348975131 -0.36574296 +1126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.538385947 -0.36574296 +1128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.480730196 -0.36574296 +1127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.069839545 -0.36574296 +1129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.053416435 -0.36574296 +1130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.774980027 -0.36574296 +1132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.71460804 -0.36574296 +1131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.382229247 -0.36574296 +1133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.338545398 -0.36574296 +1136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.011314866 -0.36574296 +1135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.41721763 -0.36574296 +1137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.1661875 -0.36574296 +1134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.74482949 -0.36574296 +1138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.030918123 -0.36574296 +1139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.510460265 -0.36574296 +1140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.039619873 -0.36574296 +1141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.263520887 -0.36574296 +1142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.078767484 -0.36574296 +1143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.514487211 -0.36574296 +1144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.204206093 -0.36574296 +1145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.441342764 -0.36574296 +1146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.748395597 -0.36574296 +1147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.545903625 -0.36574296 +1149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.245643183 -0.36574296 +1148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.485482336 -0.36574296 +1150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.681533158 -0.36574296 +1152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.304614539 -0.36574296 +1153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.456200546 -0.36574296 +1151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.745431657 -0.36574296 +1154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.103061478 -0.36574296 +1155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.022409024 -0.36574296 +1156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.299252618 -0.36574296 +1158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.688795336 -0.36574296 +1159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.364134452 -0.36574296 +1160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.340665892 -0.36574296 +1161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.769871141 -0.36574296 +1157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.12416856 -0.36574296 +1163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.762038349 -0.36574296 +1162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.185427925 -0.36574296 +1164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.018034376 -0.36574296 +1165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.807441504 -0.36574296 +1166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.543986885 -0.36574296 +1167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.634903179 -0.36574296 +1168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.439546303 -0.36574296 +1169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.517941584 -0.36574296 +1171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.050362024 -0.36574296 +1170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.094378619 -0.36574296 +1172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.30544761 -0.36574296 +1173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.026905144 -0.36574296 +1174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.165236019 -0.36574296 +1175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.714759809 -0.36574296 +1176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.064640472 -0.36574296 +1177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.082950084 -0.36574296 +1178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.276024453 -0.36574296 +1179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.196695043 -0.36574296 +1180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.33818172 -0.36574296 +1181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.779562734 -0.36574296 +1182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.423169243 -0.36574296 +1183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.600475659 -0.36574296 +1184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.278111613 -0.36574296 +1187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.493083313 -0.36574296 +1186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.311648696 -0.36574296 +1188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.058059226 -0.36574296 +1185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.561992928 -0.36574296 +1189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.551150082 -0.36574296 +1190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.542022623 -0.36574296 +1191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.306470493 -0.36574296 +1192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.621748021 -0.36574296 +1194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.128140391 -0.36574296 +1193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.774486636 -0.36574296 +1195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.26141799 -0.36574296 +1197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.559550322 -0.36574296 +1196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.553111957 -0.36574296 +1198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.644115426 -0.36574296 +1199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.553786522 -0.36574296 +1200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.594057227 -0.36574296 +1201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.825269078 -0.36574296 +1203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.433555757 -0.36574296 +1202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.752789349 -0.36574296 +1204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.022483383 -0.36574296 +1205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.491982985 -0.36574296 +1206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.415053011 -0.36574296 +1207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.830031198 -0.36574296 +1208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.493122735 -0.36574296 +1209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.040109934 -0.36574296 +1211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.257399291 -0.36574296 +1210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.535136995 -0.36574296 +1212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.045853366 -0.36574296 +1214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.376536978 -0.36574296 +1215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.52024825 -0.36574296 +1213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.645042684 -0.36574296 +1216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.330510034 -0.36574296 +1217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.586828337 -0.36574296 +1218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.10968787 -0.36574296 +1219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.28158531 -0.36574296 +1220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.235614667 -0.36574296 +1221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.325585197 -0.36574296 +1222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.174854493 -0.36574296 +1224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.032817657 -0.36574296 +1223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.65861139 -0.36574296 +1225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.680817917 -0.36574296 +1226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.186902657 -0.36574296 +1227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.577631237 -0.36574296 +1228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.036289391 -0.36574296 +1229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.699694015 -0.36574296 +1230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.262475468 -0.36574296 +1231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.722530417 -0.36574296 +1234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.39781178 -0.36574296 +1233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.573095839 -0.36574296 +1235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.349610586 -0.36574296 +1232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.056691206 -0.36574296 +1236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.729881406 -0.36574296 +1237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.022173636 -0.36574296 +1238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.746384791 -0.36574296 +1239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.318118082 -0.36574296 +1241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.49972056 -0.36574296 +1240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.145715989 -0.36574296 +1242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.033294848 -0.36574296 +1245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.677683198 -0.36574296 +1244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.244318914 -0.36574296 +1243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.155122176 -0.36574296 +1246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.314893408 -0.36574296 +1247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.307217133 -0.36574296 +1248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.444523542 -0.36574296 +1249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.301687873 -0.36574296 +1250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.356457683 -0.36574296 +1251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.124910693 -0.36574296 +1252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.483719233 -0.36574296 +1253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.047297765 -0.36574296 +1255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.317742463 -0.36574296 +1254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.010633411 -0.36574296 +1257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.417569121 -0.36574296 +1258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.537125193 -0.36574296 +1256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.324025348 -0.36574296 +1259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.833311744 -0.36574296 +1260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.306925673 -0.36574296 +1263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.023335541 -0.36574296 +1262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.070761456 -0.36574296 +1264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.057737958 -0.36574296 +1261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.829382459 -0.36574296 +1265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.626078385 -0.36574296 +1266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.4128024 -0.36574296 +1267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.449826764 -0.36574296 +1268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.107035542 -0.36574296 +1270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.306641348 -0.36574296 +1269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.119418785 -0.36574296 +1271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.699990927 -0.36574296 +1272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.162767624 -0.36574296 +1273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.30805108 -0.36574296 +1275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.076378471 -0.36574296 +1274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.613350194 -0.36574296 +1276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.090594195 -0.36574296 +1277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.499290043 -0.36574296 +1279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.209334672 -0.36574296 +1278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.055536403 -0.36574296 +1281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.122441979 -0.36574296 +1280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.586013487 -0.36574296 +1282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.087480783 -0.36574296 +1283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.257377784 -0.36574296 +1284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.665627061 -0.36574296 +1286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.114154567 -0.36574296 +1285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.236819755 -0.36574296 +1287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.021413787 -0.36574296 +1290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.779906745 -0.36574296 +1288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.009030528 -0.36574296 +1291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.476076334 -0.36574296 +1292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.010058242 -0.36574296 +1289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.394913092 -0.36574296 +1293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.040042636 -0.36574296 +1295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.144387237 -0.36574296 +1294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.250963117 -0.36574296 +1296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.414145284 -0.36574296 +1297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.099064049 -0.36574296 +1298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.050874004 -0.36574296 +1299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.809635387 -0.36574296 +1300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.075419365 -0.36574296 +1301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.130696329 -0.36574296 +1303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.017210997 -0.36574296 +1302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.002454416 -0.36574296 +1305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.419574553 -0.36574296 +1304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.10836266 -0.36574296 +1306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.503166994 -0.36574296 +1307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.064818236 -0.36574296 +1308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.025817359 -0.36574296 +1309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.533992038 -0.36574296 +1311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.377234609 -0.36574296 +1310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.367241251 -0.36574296 +1312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.759639725 -0.36574296 +1313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.252788426 -0.36574296 +1314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.48798891 -0.36574296 +1315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.200860337 -0.36574296 +1317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.638037683 -0.36574296 +1316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.45679899 -0.36574296 +1319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.065670836 -0.36574296 +1318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.762440476 -0.36574296 +1320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.083680487 -0.36574296 +1321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.431519045 -0.36574296 +1322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.030253917 -0.36574296 +1323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.374689031 -0.36574296 +1324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.547932409 -0.36574296 +1327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.291108459 -0.36574296 +1326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.312063021 -0.36574296 +1328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.47833913 -0.36574296 +1325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.293037627 -0.36574296 +1329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.608039532 -0.36574296 +1330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.0904446 -0.36574296 +1331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.098179753 -0.36574296 +1332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.151523037 -0.36574296 +1333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.151302229 -0.36574296 +1335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.019530488 -0.36574296 +1334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.687711388 -0.36574296 +1336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.74346017 -0.36574296 +1337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.247245231 -0.36574296 +1338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.82874654 -0.36574296 +1339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.31263678 -0.36574296 +1340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.695123127 -0.36574296 +1342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.59719582 -0.36574296 +1341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.189770297 -0.36574296 +1343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.272024782 -0.36574296 +1345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.366461867 -0.36574296 +1344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.629672523 -0.36574296 +1346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.642556924 -0.36574296 +1347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.244792527 -0.36574296 +1348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.729229523 -0.36574296 +1349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.483694361 -0.36574296 +1350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.157067812 -0.36574296 +1351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.460153221 -0.36574296 +1352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.093814558 -0.36574296 +1353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.029554338 -0.36574296 +1354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.682505963 -0.36574296 +1355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.312142042 -0.36574296 +1357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.486726477 -0.36574296 +1356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.147602293 -0.36574296 +1358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.457341057 -0.36574296 +1359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.781836204 -0.36574296 +1360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.647011523 -0.36574296 +1362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.526274555 -0.36574296 +1363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.211855222 -0.36574296 +1364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.315075036 -0.36574296 +1365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.492662377 -0.36574296 +1366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.119680128 -0.36574296 +1361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.218814065 -0.36574296 +1367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.498001494 -0.36574296 +1368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.378321028 -0.36574296 +1369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.014998268 -0.36574296 +1370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.419186089 -0.36574296 +1372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.700638867 -0.36574296 +1371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.011885589 -0.36574296 +1373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.580221659 -0.36574296 +1374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.724202697 -0.36574296 +1375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.007974727 -0.36574296 +1376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.150974189 -0.36574296 +1377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.434964137 -0.36574296 +1378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.542101826 -0.36574296 +1379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.052609735 -0.36574296 +1380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.640277887 -0.36574296 +1381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.189625689 -0.36574296 +1383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.11800246 -0.36574296 +1382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.708510389 -0.36574296 +1384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.349456689 -0.36574296 +1385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.48217638 -0.36574296 +1386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.069643857 -0.36574296 +1388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.620427328 -0.36574296 +1387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.281951906 -0.36574296 +1389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.508687722 -0.36574296 +1390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.324085035 -0.36574296 +1392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.029949993 -0.36574296 +1391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.655526542 -0.36574296 +1393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.647132782 -0.36574296 +1394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.039687304 -0.36574296 +1396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.544222047 -0.36574296 +1397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.255848676 -0.36574296 +1395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.353407292 -0.36574296 +1398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.045587409 -0.36574296 +1399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.014335255 -0.36574296 +1400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.02229999 -0.36574296 +1401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.498729705 -0.36574296 +1402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.403484466 -0.36574296 +1405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.777567055 -0.36574296 +1404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.109238884 -0.36574296 +1403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.057468452 -0.36574296 +1406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.305633217 -0.36574296 +1407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.137383431 -0.36574296 +1409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.004470763 -0.36574296 +1410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.394474985 -0.36574296 +1412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.362727678 -0.36574296 +1411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.171629313 -0.36574296 +1408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.546630422 -0.36574296 +1413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.595583086 -0.36574296 +1414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.38091708 -0.36574296 +1415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.682087116 -0.36574296 +1416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.521793868 -0.36574296 +1417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.051669104 -0.36574296 +1418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.080954809 -0.36574296 +1419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.091888193 -0.36574296 +1421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.142474898 -0.36574296 +1420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.26201605 -0.36574296 +1422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.20457005 -0.36574296 +1423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.22702755 -0.36574296 +1424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.116750998 -0.36574296 +1425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.447616553 -0.36574296 +1426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.107697326 -0.36574296 +1427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.399575538 -0.36574296 +1428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.344015287 -0.36574296 +1430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.690289454 -0.36574296 +1432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.403781818 -0.36574296 +1429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.002217703 -0.36574296 +1431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.319895268 -0.36574296 +1433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.257371738 -0.36574296 +1434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.253305904 -0.36574296 +1435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.058323503 -0.36574296 +1436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.631738867 -0.36574296 +1437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.045369343 -0.36574296 +1438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.278500212 -0.36574296 +1440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.544584393 -0.36574296 +1441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.369380171 -0.36574296 +1439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.460838288 -0.36574296 +1443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.678353535 -0.36574296 +1442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.668782703 -0.36574296 +1444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.769470655 -0.36574296 +1445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.617407455 -0.36574296 +1446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.005387576 -0.36574296 +1447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.382012882 -0.36574296 +1448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.376369557 -0.36574296 +1449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.124227395 -0.36574296 +1450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.551699465 -0.36574296 +1451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.355231458 -0.36574296 +1452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.467162626 -0.36574296 +1453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.007301073 -0.36574296 +1454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.178676663 -0.36574296 +1455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.125520859 -0.36574296 +1456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.150398168 -0.36574296 +1458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.659889397 -0.36574296 +1459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.039789031 -0.36574296 +1460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.799430666 -0.36574296 +1457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.351468344 -0.36574296 +1461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.76352772 -0.36574296 +1462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.714272202 -0.36574296 +1464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.004737091 -0.36574296 +1463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.168341422 -0.36574296 +1466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.022504846 -0.36574296 +1465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.51609536 -0.36574296 +1467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.056490657 -0.36574296 +1469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.33378738 -0.36574296 +1468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.023130472 -0.36574296 +1472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.569009232 -0.36574296 +1470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.735651692 -0.36574296 +1471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.311496364 -0.36574296 +1474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.575866674 -0.36574296 +1473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.014348247 -0.36574296 +1475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.792882203 -0.36574296 +1476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.048627631 -0.36574296 +1477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.379553912 -0.36574296 +1479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.396721908 -0.36574296 +1478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.326767396 -0.36574296 +1481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.478505504 -0.36574296 +1480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.490382723 -0.36574296 +1482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.1616891 -0.36574296 +1483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.218696877 -0.36574296 +1484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.754579422 -0.36574296 +1486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.330871801 -0.36574296 +1487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.040990398 -0.36574296 +1489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.28522997 -0.36574296 +1488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.757862113 -0.36574296 +1491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.540370599 -0.36574296 +1490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.737727047 -0.36574296 +1485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.344236169 -0.36574296 +1492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.131575313 -0.36574296 +1493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.407749337 -0.36574296 +1494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.683522078 -0.36574296 +1496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.473767825 -0.36574296 +1495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.302024829 -0.36574296 +1498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.106667592 -0.36574296 +1497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.037948059 -0.36574296 +1499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.663124878 -0.36574296 +1500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.636416216 -0.36574296 +1501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.064565058 -0.36574296 +1502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.583357866 -0.36574296 +1503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.295729844 -0.36574296 +1504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.261683493 -0.36574296 +1505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.342835653 -0.36574296 +1506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.776957386 -0.36574296 +1507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.458193609 -0.36574296 +1508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.227495605 -0.36574296 +1509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.027523883 -0.36574296 +1511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.035850539 -0.36574296 +1510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.420062755 -0.36574296 +1512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.467657733 -0.36574296 +1513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.726394 -0.36574296 +1514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.391621148 -0.36574296 +1515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.21402916 -0.36574296 +1516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.245729676 -0.36574296 +1517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.198303982 -0.36574296 +1518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.307892494 -0.36574296 +1519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.662238329 -0.36574296 +1520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.10153706 -0.36574296 +1521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.204242583 -0.36574296 +1522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.011367464 -0.36574296 +1524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.277205975 -0.36574296 +1523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.489115529 -0.36574296 +1525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.016237969 -0.36574296 +1526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.365859287 -0.36574296 +1527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.156283312 -0.36574296 +1528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.343499522 -0.36574296 +1529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.426608864 -0.36574296 +1530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.056411691 -0.36574296 +1531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.071544173 -0.36574296 +1533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.06250023 -0.36574296 +1534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.010893934 -0.36574296 +1535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.066287277 -0.36574296 +1536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.183613608 -0.36574296 +1537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.520374552 -0.36574296 +1532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.489213967 -0.36574296 +1538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.507657856 -0.36574296 +1539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.2533479 -0.36574296 +1540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.322073682 -0.36574296 +1542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.330887415 -0.36574296 +1541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.384341404 -0.36574296 +1543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.553368598 -0.36574296 +1544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.076882484 -0.36574296 +1546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.736811041 -0.36574296 +1545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.660954092 -0.36574296 +1547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.378629402 -0.36574296 +1548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.335667618 -0.36574296 +1549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.716246008 -0.36574296 +1550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.578587362 -0.36574296 +1551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.645230385 -0.36574296 +1552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.052520556 -0.36574296 +1553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.63383341 -0.36574296 +1554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.31215565 -0.36574296 +1555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.010169362 -0.36574296 +1556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.534243463 -0.36574296 +1557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.448866822 -0.36574296 +1558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.43842925 -0.36574296 +1559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.197190296 -0.36574296 +1560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.219807912 -0.36574296 +1561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.597015074 -0.36574296 +1562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.244696294 -0.36574296 +1563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.274647429 -0.36574296 +1566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.568181054 -0.36574296 +1565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.347731321 -0.36574296 +1564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.44329372 -0.36574296 +1567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.309251166 -0.36574296 +1568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.037920554 -0.36574296 +1569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.141134037 -0.36574296 +1570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.37293708 -0.36574296 +1571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.445320269 -0.36574296 +1572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.41310157 -0.36574296 +1573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.787286451 -0.36574296 +1574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.735344465 -0.36574296 +1575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.583754226 -0.36574296 +1577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.021602218 -0.36574296 +1576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.76355786 -0.36574296 +1579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.352359251 -0.36574296 +1578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.648670446 -0.36574296 +1580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.443932159 -0.36574296 +1581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.297898496 -0.36574296 +1582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.630887197 -0.36574296 +1585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.60715185 -0.36574296 +1583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.351902453 -0.36574296 +1584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.034635624 -0.36574296 +1586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.123494172 -0.36574296 +1588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.203897509 -0.36574296 +1589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.741964717 -0.36574296 +1587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.465292875 -0.36574296 +1590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.313413192 -0.36574296 +1593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.734359589 -0.36574296 +1591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.061706073 -0.36574296 +1592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.283718824 -0.36574296 +1594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.577890736 -0.36574296 +1595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.817766821 -0.36574296 +1596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.547277246 -0.36574296 +1598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.20982503 -0.36574296 +1597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.18374099 -0.36574296 +1599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.362365656 -0.36574296 +1600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.534650882 -0.36574296 +1601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.046352417 -0.36574296 +1602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.070953134 -0.36574296 +1603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.210621834 -0.36574296 +1604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.601591759 -0.36574296 +1605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.406419691 -0.36574296 +1609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.241935577 -0.36574296 +1607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.175085431 -0.36574296 +1608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.452455124 -0.36574296 +1610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.171633046 -0.36574296 +1611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.613058756 -0.36574296 +1612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.260426972 -0.36574296 +1606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.573645176 -0.36574296 +1613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.145351625 -0.36574296 +1614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.480774528 -0.36574296 +1616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.347058831 -0.36574296 +1615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.32800235 -0.36574296 +1617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.054051633 -0.36574296 +1619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.442944118 -0.36574296 +1618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.557752962 -0.36574296 +1620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.576725521 -0.36574296 +1621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.525024486 -0.36574296 +1624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.050298905 -0.36574296 +1622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.361886326 -0.36574296 +1626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.735309647 -0.36574296 +1623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.04303581 -0.36574296 +1627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.746708158 -0.36574296 +1625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.787763715 -0.36574296 +1628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.339563441 -0.36574296 +1629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.246889571 -0.36574296 +1630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.280193892 -0.36574296 +1631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.40624383 -0.36574296 +1633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.3480897 -0.36574296 +1634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.501547137 -0.36574296 +1635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.711291659 -0.36574296 +1632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.015242291 -0.36574296 +1640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.784502479 -0.36574296 +1639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.330052656 -0.36574296 +1641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.181000036 -0.36574296 +1637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.049088841 -0.36574296 +1643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.315715584 -0.36574296 +1642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.470586567 -0.36574296 +1636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.43406356 -0.36574296 +1638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.022177764 -0.36574296 +1644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.487540311 -0.36574296 +1646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.392008495 -0.36574296 +1647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.701207711 -0.36574296 +1649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.408146365 -0.36574296 +1648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.032109218 -0.36574296 +1645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.710911293 -0.36574296 +1650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.535908706 -0.36574296 +1651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.294020434 -0.36574296 +1652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.53716861 -0.36574296 +1653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.389989537 -0.36574296 +1654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.167246862 -0.36574296 +1657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.385897362 -0.36574296 +1656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.046508074 -0.36574296 +1659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.45577985 -0.36574296 +1655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.409421677 -0.36574296 +1658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.059253186 -0.36574296 +1660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.693981096 -0.36574296 +1662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.486106407 -0.36574296 +1664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.724499286 -0.36574296 +1661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.084404068 -0.36574296 +1663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.468082979 -0.36574296 +1665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.005361239 -0.36574296 +1666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.044161416 -0.36574296 +1668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.728554175 -0.36574296 +1667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.713163424 -0.36574296 +1669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.542900801 -0.36574296 +1670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.314418582 -0.36574296 +1671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.252489222 -0.36574296 +1672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.585029446 -0.36574296 +1674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.191298622 -0.36574296 +1673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.418341183 -0.36574296 +1675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.077640947 -0.36574296 +1676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.627304515 -0.36574296 +1679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.719836885 -0.36574296 +1678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.396272485 -0.36574296 +1680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.475795004 -0.36574296 +1682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.328034193 -0.36574296 +1677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.757666617 -0.36574296 +1681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.774629965 -0.36574296 +1683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.347545866 -0.36574296 +1684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.346140081 -0.36574296 +1685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.707358535 -0.36574296 +1687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.717998331 -0.36574296 +1686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.002702819 -0.36574296 +1688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.822918241 -0.36574296 +1689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.01319379 -0.36574296 +1690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.50238481 -0.36574296 +1691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.555470209 -0.36574296 +1692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.234675146 -0.36574296 +1693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.491402956 -0.36574296 +1694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.798435775 -0.36574296 +1695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.805735271 -0.36574296 +1696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.071705435 -0.36574296 +1698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.4256931 -0.36574296 +1697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.075508923 -0.36574296 +1700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.452887838 -0.36574296 +1699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.155566785 -0.36574296 +1702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.732557612 -0.36574296 +1703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.734879257 -0.36574296 +1701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.202225384 -0.36574296 +1704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.239028433 -0.36574296 +1707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.646841216 -0.36574296 +1706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.507561546 -0.36574296 +1708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.049023533 -0.36574296 +1705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.579691069 -0.36574296 +1709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.333890837 -0.36574296 +1710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -1.08E-04 -0.36574296 +1711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.720774699 -0.36574296 +1713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.434234176 -0.36574296 +1714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.426736395 -0.36574296 +1716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.437778369 -0.36574296 +1715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.736269538 -0.36574296 +1717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.65853981 -0.36574296 +1719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.430106472 -0.36574296 +1720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.379151751 -0.36574296 +1721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.544531674 -0.36574296 +1718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.330669726 -0.36574296 +1723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.010033618 -0.36574296 +1722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.369096227 -0.36574296 +1712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.155741623 -0.36574296 +1725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.722179129 -0.36574296 +1724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.370235244 -0.36574296 +1726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.082117785 -0.36574296 +1727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.263569629 -0.36574296 +1728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.706970099 -0.36574296 +1729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.590078098 -0.36574296 +1730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.726256141 -0.36574296 +1733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.061792961 -0.36574296 +1732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.36372854 -0.36574296 +1731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.047274977 -0.36574296 +1734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.406670667 -0.36574296 +1736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.194781627 -0.36574296 +1735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.011261387 -0.36574296 +1737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.066251395 -0.36574296 +1738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.292863448 -0.36574296 +1739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.04566556 -0.36574296 +1740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.733848323 -0.36574296 +1741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.183785753 -0.36574296 +1742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.151532143 -0.36574296 +1745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.772336421 -0.36574296 +1744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.283582415 -0.36574296 +1743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.224257458 -0.36574296 +1746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.330225463 -0.36574296 +1748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.280125739 -0.36574296 +1747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.346874739 -0.36574296 +1749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.044459869 -0.36574296 +1750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.188029563 -0.36574296 +1751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.102836267 -0.36574296 +1752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.572760142 -0.36574296 +1753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.373201772 -0.36574296 +1754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.098878065 -0.36574296 +1755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.668576715 -0.36574296 +1756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.12742024 -0.36574296 +1757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.002994127 -0.36574296 +1758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.376707011 -0.36574296 +1760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.015856464 -0.36574296 +1759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.574388125 -0.36574296 +1763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.8020868 -0.36574296 +1761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.764388611 -0.36574296 +1762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.395945553 -0.36574296 +1764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.759129637 -0.36574296 +1765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.090755297 -0.36574296 +1766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.326675022 -0.36574296 +1768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.593104065 -0.36574296 +1767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.121745602 -0.36574296 +1769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.545505987 -0.36574296 +1771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.317291481 -0.36574296 +1770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.513900944 -0.36574296 +1772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.27073048 -0.36574296 +1774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.172384881 -0.36574296 +1775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.287773153 -0.36574296 +1773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.228113499 -0.36574296 +1776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.639940787 -0.36574296 +1779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.534356668 -0.36574296 +1780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.685173586 -0.36574296 +1777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.430506367 -0.36574296 +1778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.67556611 -0.36574296 +1781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.356950671 -0.36574296 +1784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.682725048 -0.36574296 +1782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.164055027 -0.36574296 +1783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.588420552 -0.36574296 +1785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.603392938 -0.36574296 +1786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.086161192 -0.36574296 +1787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.096086032 -0.36574296 +1789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.203504293 -0.36574296 +1788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.075084115 -0.36574296 +1791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.092429114 -0.36574296 +1790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.052661164 -0.36574296 +1793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.626669579 -0.36574296 +1794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.460061805 -0.36574296 +1795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.587561588 -0.36574296 +1797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.013845161 -0.36574296 +1798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.013588216 -0.36574296 +1796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.418264992 -0.36574296 +1799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.258140711 -0.36574296 +1800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.655526577 -0.36574296 +1792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.58943884 -0.36574296 +1801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.453959715 -0.36574296 +1802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.524441303 -0.36574296 +1804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.633951655 -0.36574296 +1803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.552121004 -0.36574296 +1806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.437195327 -0.36574296 +1807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.279313756 -0.36574296 +1805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.234828824 -0.36574296 +1808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.328151915 -0.36574296 +1809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.20138749 -0.36574296 +1810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -8.32E-04 -0.36574296 +1811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.385684631 -0.36574296 +1814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.826831937 -0.36574296 +1812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.411337173 -0.36574296 +1815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.485197945 -0.36574296 +1813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.47494272 -0.36574296 +1816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.18986591 -0.36574296 +1817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.764292662 -0.36574296 +1819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.506850432 -0.36574296 +1818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.680081124 -0.36574296 +1820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.006262071 -0.36574296 +1821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.341877003 -0.36574296 +1822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.071147885 -0.36574296 +1823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.825218382 -0.36574296 +1825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.271378845 -0.36574296 +1827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.649183471 -0.36574296 +1828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.617429536 -0.36574296 +1826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.215446377 -0.36574296 +1829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.656957477 -0.36574296 +1824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.359251847 -0.36574296 +1832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.007418135 -0.36574296 +1831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.453418001 -0.36574296 +1830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.236926378 -0.36574296 +1833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.28812164 -0.36574296 +1834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.41258727 -0.36574296 +1836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.558738146 -0.36574296 +1837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.361902192 -0.36574296 +1835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.00591007 -0.36574296 +1840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.532242901 -0.36574296 +1839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.556283727 -0.36574296 +1841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.627263139 -0.36574296 +1842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.641852198 -0.36574296 +1838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.479542698 -0.36574296 +1844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.328130655 -0.36574296 +1843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.567275915 -0.36574296 +1845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.229529406 -0.36574296 +1846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.354102071 -0.36574296 +1847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.562350601 -0.36574296 +1848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.128190063 -0.36574296 +1849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.764754433 -0.36574296 +1850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.008897295 -0.36574296 +1852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.007941312 -0.36574296 +1854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.64500477 -0.36574296 +1855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.227941007 -0.36574296 +1853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.136072127 -0.36574296 +1856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.554616706 -0.36574296 +1857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.239877519 -0.36574296 +1858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.523789292 -0.36574296 +1859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.636858393 -0.36574296 +1851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.600008086 -0.36574296 +1860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.360166495 -0.36574296 +1861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.083463931 -0.36574296 +1862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.101880562 -0.36574296 +1863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.622449792 -0.36574296 +1865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.088236814 -0.36574296 +1866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.510745403 -0.36574296 +1864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.298694998 -0.36574296 +1868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.892929344 -0.36574296 +1870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.453598309 -0.36574296 +1869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.476541171 -0.36574296 +1867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.735688927 -0.36574296 +1873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.468361138 -0.36574296 +1874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.115515712 -0.36574296 +1871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.213810135 -0.36574296 +1872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.764837436 -0.36574296 +1876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.216314335 -0.36574296 +1875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.452590901 -0.36574296 +1877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.305623187 -0.36574296 +1878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.70594164 -0.36574296 +1879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.068950967 -0.36574296 +1880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.201602501 -0.36574296 +1881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.20420681 -0.36574296 +1882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.052284106 -0.36574296 +1883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.327639604 -0.36574296 +1885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.006070669 -0.36574296 +1886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.507838004 -0.36574296 +1887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.548300541 -0.36574296 +1888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.354070752 -0.36574296 +1889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.123105712 -0.36574296 +1884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.551706463 -0.36574296 +1891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.046426217 -0.36574296 +1892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.257661161 -0.36574296 +1890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.665243284 -0.36574296 +1893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.645738822 -0.36574296 +1894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.125995849 -0.36574296 +1895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.716482108 -0.36574296 +1896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.451135978 -0.36574296 +1897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.059770167 -0.36574296 +1900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.384232115 -0.36574296 +1899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.082696161 -0.36574296 +1901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.557017243 -0.36574296 +1898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 9.48E-06 -0.36574296 +1902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.742962489 -0.36574296 +1903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.293692632 -0.36574296 +1906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.490719419 -0.36574296 +1904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.331582289 -0.36574296 +1907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.751602975 -0.36574296 +1905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.433937527 -0.36574296 +1908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.397551644 -0.36574296 +1909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.450871189 -0.36574296 +1911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.74176206 -0.36574296 +1910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.055848082 -0.36574296 +1914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.449503902 -0.36574296 +1913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.615894943 -0.36574296 +1912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.100154889 -0.36574296 +1916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.612857763 -0.36574296 +1915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.76061947 -0.36574296 +1917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.426266975 -0.36574296 +1918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.14505516 -0.36574296 +1919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.51552365 -0.36574296 +1922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.211949411 -0.36574296 +1920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.621719796 -0.36574296 +1921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.425362302 -0.36574296 +1923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.190093914 -0.36574296 +1924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.236075193 -0.36574296 +1925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.229350526 -0.36574296 +1927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.36150967 -0.36574296 +1928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.183912013 -0.36574296 +1929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.229456903 -0.36574296 +1930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.103595671 -0.36574296 +1926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.221005142 -0.36574296 +1932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.498441913 -0.36574296 +1931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.312212644 -0.36574296 +1934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.777734952 -0.36574296 +1936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.806344621 -0.36574296 +1933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.174186733 -0.36574296 +1937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.748163753 -0.36574296 +1935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.081530011 -0.36574296 +1938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.317059783 -0.36574296 +1939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.554556946 -0.36574296 +1941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.350902399 -0.36574296 +1943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.491738634 -0.36574296 +1942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.440963431 -0.36574296 +1940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.091586086 -0.36574296 +1944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.05129568 -0.36574296 +1945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.314280108 -0.36574296 +1946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.152048992 -0.36574296 +1947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.667880281 -0.36574296 +1948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.134312647 -0.36574296 +1954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.311325502 -0.36574296 +1949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.035297018 -0.36574296 +1952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.572391656 -0.36574296 +1950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.21337071 -0.36574296 +1951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.355727809 -0.36574296 +1953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.746540657 -0.36574296 +1955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.193122504 -0.36574296 +1956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.338596317 -0.36574296 +1958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.181253992 -0.36574296 +1959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.673078179 -0.36574296 +1960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.669974468 -0.36574296 +1957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.56640267 -0.36574296 +1962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.313549998 -0.36574296 +1961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.847748891 -0.36574296 +1964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.601319447 -0.36574296 +1965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.173750108 -0.36574296 +1967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.253695498 -0.36574296 +1968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.090799367 -0.36574296 +1966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.459625434 -0.36574296 +1969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.100166756 -0.36574296 +1963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.457613444 -0.36574296 +1970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.774368035 -0.36574296 +1974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.014939051 -0.36574296 +1972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.549918276 -0.36574296 +1971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.473783707 -0.36574296 +1977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.683596158 -0.36574296 +1976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.672502988 -0.36574296 +1975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.714884153 -0.36574296 +1973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.12814811 -0.36574296 +1978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.162847875 -0.36574296 +1980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.019500802 -0.36574296 +1981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.002849982 -0.36574296 +1982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.388537022 -0.36574296 +1984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.638295319 -0.36574296 +1979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.227026871 -0.36574296 +1985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.108577784 -0.36574296 +1983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.17863333 -0.36574296 +1987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.723038183 -0.36574296 +1988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.098657633 -0.36574296 +1986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 6.00E-05 -0.36574296 +1991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.560929852 -0.36574296 +1992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.456859624 -0.36574296 +1989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.069898165 -0.36574296 +1995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.418938403 -0.36574296 +1993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.717008576 -0.36574296 +1994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.796549914 -0.36574296 +1990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 0.042798925 -0.36574296 +1996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.415140059 -0.36574296 +1997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.513390783 -0.36574296 +1999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.235200357 -0.36574296 +1998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.648020171 -0.36574296 +2000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.95 10 1 -0.224417518 -0.36574296 +2002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.0382355 -0.378362874 +2001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 1.17E-04 -0.378362874 +2004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.401292262 -0.378362874 +2003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.462687806 -0.378362874 +2006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.011119952 -0.378362874 +2007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.473176947 -0.378362874 +2005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.162977819 -0.378362874 +2008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.224904603 -0.378362874 +2010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.181042095 -0.378362874 +2009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.994019302 -0.378362874 +2012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.028463744 -0.378362874 +2011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.436760191 -0.378362874 +2013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.560409069 -0.378362874 +2014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.278524137 -0.378362874 +2015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.00356026 -0.378362874 +2016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.740133494 -0.378362874 +2017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.16844112 -0.378362874 +2018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.001422764 -0.378362874 +2020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.27194797 -0.378362874 +2022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.773939134 -0.378362874 +2021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.024099396 -0.378362874 +2019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.021840898 -0.378362874 +2023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.40719658 -0.378362874 +2024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.153775515 -0.378362874 +2025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.099198913 -0.378362874 +2026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.243304407 -0.378362874 +2028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.299595652 -0.378362874 +2029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.54151764 -0.378362874 +2027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.182285619 -0.378362874 +2030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.112301161 -0.378362874 +2032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.31697248 -0.378362874 +2031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.144458746 -0.378362874 +2034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.548027334 -0.378362874 +2033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.07944067 -0.378362874 +2035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.80425477 -0.378362874 +2036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.004966382 -0.378362874 +2038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.204581536 -0.378362874 +2040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.877022404 -0.378362874 +2041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.450165161 -0.378362874 +2042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.302790368 -0.378362874 +2037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.535690925 -0.378362874 +2039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.501764803 -0.378362874 +2043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.057445489 -0.378362874 +2045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.501134936 -0.378362874 +2047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.614298973 -0.378362874 +2044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.096605651 -0.378362874 +2048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.359699542 -0.378362874 +2050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.687124633 -0.378362874 +2046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.020274069 -0.378362874 +2051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.208411577 -0.378362874 +2049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.079837793 -0.378362874 +2054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.147199198 -0.378362874 +2053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.441000478 -0.378362874 +2057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.20665276 -0.378362874 +2056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.719575944 -0.378362874 +2052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.285563697 -0.378362874 +2058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.166079307 -0.378362874 +2055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.647620431 -0.378362874 +2059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.226109237 -0.378362874 +2060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.71018212 -0.378362874 +2061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.310686313 -0.378362874 +2062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.070696672 -0.378362874 +2064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.470979185 -0.378362874 +2065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.00255356 -0.378362874 +2066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.619913283 -0.378362874 +2063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.481246456 -0.378362874 +2068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.51949164 -0.378362874 +2070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.020237497 -0.378362874 +2071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.628659039 -0.378362874 +2073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.840237032 -0.378362874 +2072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.728115739 -0.378362874 +2069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.355216124 -0.378362874 +2067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.239347546 -0.378362874 +2074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.055147121 -0.378362874 +2076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.363656741 -0.378362874 +2075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.848400356 -0.378362874 +2079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.142151581 -0.378362874 +2080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.670950722 -0.378362874 +2077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.331680551 -0.378362874 +2078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.86046979 -0.378362874 +2081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.211703827 -0.378362874 +2082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.156668651 -0.378362874 +2083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.014691385 -0.378362874 +2084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.441353708 -0.378362874 +2085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.394668111 -0.378362874 +2088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.63674533 -0.378362874 +2086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.780086818 -0.378362874 +2087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.140923678 -0.378362874 +2089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.707137998 -0.378362874 +2090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.033597762 -0.378362874 +2092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.473289764 -0.378362874 +2094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.657210043 -0.378362874 +2093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.451131029 -0.378362874 +2091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.076672583 -0.378362874 +2096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.145620856 -0.378362874 +2098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.353551654 -0.378362874 +2095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.201207776 -0.378362874 +2097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.454406466 -0.378362874 +2099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.012435023 -0.378362874 +2100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.449593745 -0.378362874 +2102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.780220984 -0.378362874 +2101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.863167563 -0.378362874 +2103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.415516611 -0.378362874 +2105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.041059049 -0.378362874 +2104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.483783278 -0.378362874 +2107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.080102184 -0.378362874 +2106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.577285933 -0.378362874 +2108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.567349593 -0.378362874 +2109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.551116678 -0.378362874 +2110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.664425371 -0.378362874 +2111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.654907651 -0.378362874 +2112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.007031609 -0.378362874 +2114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.089603485 -0.378362874 +2116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.404702425 -0.378362874 +2115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.1564439 -0.378362874 +2117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.16105579 -0.378362874 +2118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.046623103 -0.378362874 +2113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.155311792 -0.378362874 +2119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.394360694 -0.378362874 +2120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.541844746 -0.378362874 +2122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.575174184 -0.378362874 +2121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.027351824 -0.378362874 +2123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.340558185 -0.378362874 +2124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.438946685 -0.378362874 +2125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.48713353 -0.378362874 +2126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.735097596 -0.378362874 +2127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.493750269 -0.378362874 +2128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.724745571 -0.378362874 +2129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.129875242 -0.378362874 +2130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.324643704 -0.378362874 +2131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.302787212 -0.378362874 +2132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.366164397 -0.378362874 +2133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.530110246 -0.378362874 +2134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.250298726 -0.378362874 +2135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.579564334 -0.378362874 +2136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.648961965 -0.378362874 +2137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.710525739 -0.378362874 +2138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.041926318 -0.378362874 +2142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.240389105 -0.378362874 +2140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.379079296 -0.378362874 +2143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.10774298 -0.378362874 +2141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.025140253 -0.378362874 +2139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.25983429 -0.378362874 +2144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.252667304 -0.378362874 +2145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.541625304 -0.378362874 +2146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.515474497 -0.378362874 +2147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.619094818 -0.378362874 +2148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.227351279 -0.378362874 +2149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.60428248 -0.378362874 +2150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.091846507 -0.378362874 +2151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.196313815 -0.378362874 +2152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.111598022 -0.378362874 +2153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.675464345 -0.378362874 +2156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.214938321 -0.378362874 +2154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.072747563 -0.378362874 +2158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.48658174 -0.378362874 +2155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.009122937 -0.378362874 +2157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.410308682 -0.378362874 +2160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.178969684 -0.378362874 +2161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.341176265 -0.378362874 +2159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.581674905 -0.378362874 +2162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.477920021 -0.378362874 +2163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.095709887 -0.378362874 +2164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.004728786 -0.378362874 +2165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.600527081 -0.378362874 +2166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.598864986 -0.378362874 +2167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.03577884 -0.378362874 +2168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.598328038 -0.378362874 +2172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.074201642 -0.378362874 +2173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.411448995 -0.378362874 +2171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.433658792 -0.378362874 +2170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.198695135 -0.378362874 +2174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.230624618 -0.378362874 +2169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.377678126 -0.378362874 +2175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.567369166 -0.378362874 +2177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.585966516 -0.378362874 +2176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.448909339 -0.378362874 +2178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.714123246 -0.378362874 +2179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.77537782 -0.378362874 +2180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.592700999 -0.378362874 +2181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.447204539 -0.378362874 +2182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.209337729 -0.378362874 +2183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.601649224 -0.378362874 +2184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.519384644 -0.378362874 +2186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.023465808 -0.378362874 +2187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.345040412 -0.378362874 +2188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.003997032 -0.378362874 +2189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.019755575 -0.378362874 +2185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.666406172 -0.378362874 +2190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.086203292 -0.378362874 +2191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.523506459 -0.378362874 +2192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.395919805 -0.378362874 +2193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.873394359 -0.378362874 +2194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.168248785 -0.378362874 +2195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.272564618 -0.378362874 +2196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.352503277 -0.378362874 +2198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.787184251 -0.378362874 +2197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.715409965 -0.378362874 +2199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.320281874 -0.378362874 +2200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.335267317 -0.378362874 +2201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.64510778 -0.378362874 +2202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.137906156 -0.378362874 +2203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.101241545 -0.378362874 +2204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.690880909 -0.378362874 +2206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.744405177 -0.378362874 +2205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.195887272 -0.378362874 +2207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.185865863 -0.378362874 +2208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.3502244 -0.378362874 +2209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.627765825 -0.378362874 +2210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.702658732 -0.378362874 +2211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.494600013 -0.378362874 +2212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.100164682 -0.378362874 +2214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.783512149 -0.378362874 +2216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.637877106 -0.378362874 +2215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.553977483 -0.378362874 +2213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.268819922 -0.378362874 +2217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.140479178 -0.378362874 +2218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.091669074 -0.378362874 +2219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.21569772 -0.378362874 +2220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.095832137 -0.378362874 +2221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.577578923 -0.378362874 +2222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.615633432 -0.378362874 +2223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.710265815 -0.378362874 +2225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.008013521 -0.378362874 +2224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.311929008 -0.378362874 +2226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.014847059 -0.378362874 +2227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.475126238 -0.378362874 +2228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.519888692 -0.378362874 +2229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.336043639 -0.378362874 +2231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.859111688 -0.378362874 +2230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.087830479 -0.378362874 +2232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.272204841 -0.378362874 +2234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.553635586 -0.378362874 +2235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.295684938 -0.378362874 +2233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.69240943 -0.378362874 +2236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.704475654 -0.378362874 +2237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.254883224 -0.378362874 +2238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.315711144 -0.378362874 +2239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.579762795 -0.378362874 +2240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.005867422 -0.378362874 +2241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.50865062 -0.378362874 +2242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.325327605 -0.378362874 +2244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.481868325 -0.378362874 +2243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.366792417 -0.378362874 +2245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.40685066 -0.378362874 +2247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.832948806 -0.378362874 +2246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.727488194 -0.378362874 +2248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.519365946 -0.378362874 +2249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.133877669 -0.378362874 +2250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.081984654 -0.378362874 +2251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.122113015 -0.378362874 +2253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.290414074 -0.378362874 +2255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.711855813 -0.378362874 +2256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.770324284 -0.378362874 +2254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.486895863 -0.378362874 +2257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.040955143 -0.378362874 +2252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.665987156 -0.378362874 +2258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.055587755 -0.378362874 +2259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.705831617 -0.378362874 +2261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.72992328 -0.378362874 +2260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.068076985 -0.378362874 +2262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.215862056 -0.378362874 +2263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.147962218 -0.378362874 +2264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.6453779 -0.378362874 +2265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.604037529 -0.378362874 +2267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.165940005 -0.378362874 +2269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.45553753 -0.378362874 +2266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.514149332 -0.378362874 +2271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.026389369 -0.378362874 +2268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.026907744 -0.378362874 +2270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.042153836 -0.378362874 +2273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.764831013 -0.378362874 +2272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.452536265 -0.378362874 +2274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.216013071 -0.378362874 +2275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.758069735 -0.378362874 +2276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.024049897 -0.378362874 +2277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.424358425 -0.378362874 +2279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.412222045 -0.378362874 +2278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.790662169 -0.378362874 +2280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.182303645 -0.378362874 +2281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.297851772 -0.378362874 +2282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.617849717 -0.378362874 +2284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.660929371 -0.378362874 +2283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.592770438 -0.378362874 +2285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.499060616 -0.378362874 +2286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.625275359 -0.378362874 +2287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.158261583 -0.378362874 +2288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.212173493 -0.378362874 +2290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.595701287 -0.378362874 +2289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.173352798 -0.378362874 +2292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.402242141 -0.378362874 +2293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.391480363 -0.378362874 +2291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.067197696 -0.378362874 +2294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.11424344 -0.378362874 +2295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.611597694 -0.378362874 +2296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.522635693 -0.378362874 +2297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.275050054 -0.378362874 +2299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.466773941 -0.378362874 +2300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.318382614 -0.378362874 +2298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.357625947 -0.378362874 +2301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.161303109 -0.378362874 +2302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.188439868 -0.378362874 +2303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.409774341 -0.378362874 +2304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.582892604 -0.378362874 +2305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.70829993 -0.378362874 +2306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.298446138 -0.378362874 +2307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.450441824 -0.378362874 +2309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.029685061 -0.378362874 +2308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.640253979 -0.378362874 +2310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.313817687 -0.378362874 +2311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.379886117 -0.378362874 +2312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.572597212 -0.378362874 +2313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.276471203 -0.378362874 +2314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.754881074 -0.378362874 +2315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.499684024 -0.378362874 +2316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.003823896 -0.378362874 +2317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.529858042 -0.378362874 +2318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.445758082 -0.378362874 +2319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.116055973 -0.378362874 +2320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.006457999 -0.378362874 +2321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.088448796 -0.378362874 +2323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.030741253 -0.378362874 +2322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.029242489 -0.378362874 +2324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.339180048 -0.378362874 +2326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.040559874 -0.378362874 +2327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.12729722 -0.378362874 +2329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.084337155 -0.378362874 +2325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.239310366 -0.378362874 +2328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.55390615 -0.378362874 +2331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.32635337 -0.378362874 +2332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.036542539 -0.378362874 +2330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.332254892 -0.378362874 +2333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.225770007 -0.378362874 +2334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.333263707 -0.378362874 +2335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.177138667 -0.378362874 +2336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.132789464 -0.378362874 +2337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.441453388 -0.378362874 +2338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.744767096 -0.378362874 +2340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.721260093 -0.378362874 +2339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.663226813 -0.378362874 +2341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.675104544 -0.378362874 +2342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.471824122 -0.378362874 +2343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.740681135 -0.378362874 +2345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.527166123 -0.378362874 +2347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.145394875 -0.378362874 +2346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.745015163 -0.378362874 +2344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.530021917 -0.378362874 +2348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.772921675 -0.378362874 +2349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.135731038 -0.378362874 +2350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.192124454 -0.378362874 +2351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.41653462 -0.378362874 +2354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.416251668 -0.378362874 +2353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.390430425 -0.378362874 +2352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.194381456 -0.378362874 +2355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.164078782 -0.378362874 +2356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.697307927 -0.378362874 +2357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.692594253 -0.378362874 +2358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.471690902 -0.378362874 +2359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.320056779 -0.378362874 +2360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.716463934 -0.378362874 +2361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.175324365 -0.378362874 +2362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.34243891 -0.378362874 +2364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.257561027 -0.378362874 +2363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.526808353 -0.378362874 +2365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.316935246 -0.378362874 +2366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.463883065 -0.378362874 +2367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.029577695 -0.378362874 +2368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.555463444 -0.378362874 +2369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.703901915 -0.378362874 +2370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.069318573 -0.378362874 +2371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.03176039 -0.378362874 +2374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.35865986 -0.378362874 +2373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.44198749 -0.378362874 +2372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.040562516 -0.378362874 +2376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.848123416 -0.378362874 +2377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.263174402 -0.378362874 +2375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.421094168 -0.378362874 +2378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.131893408 -0.378362874 +2379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.61621753 -0.378362874 +2380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.826544591 -0.378362874 +2381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.116378393 -0.378362874 +2382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.46462285 -0.378362874 +2383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.268245222 -0.378362874 +2384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.239681013 -0.378362874 +2385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.490254639 -0.378362874 +2386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.633946614 -0.378362874 +2387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.142917128 -0.378362874 +2388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.02464237 -0.378362874 +2389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.833761309 -0.378362874 +2392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.613181077 -0.378362874 +2391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.683314722 -0.378362874 +2393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.049685565 -0.378362874 +2394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.481804165 -0.378362874 +2390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.617277267 -0.378362874 +2395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.764636805 -0.378362874 +2397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.237176038 -0.378362874 +2396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.856123577 -0.378362874 +2398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.453558946 -0.378362874 +2399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.558430527 -0.378362874 +2400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.492241663 -0.378362874 +2401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.364995116 -0.378362874 +2402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.147313319 -0.378362874 +2403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.09795735 -0.378362874 +2404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.104147065 -0.378362874 +2405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.023121221 -0.378362874 +2406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.748861978 -0.378362874 +2407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.436283418 -0.378362874 +2409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.124687519 -0.378362874 +2408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.307475193 -0.378362874 +2410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.059740684 -0.378362874 +2411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.622398867 -0.378362874 +2412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.07400916 -0.378362874 +2413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.20027161 -0.378362874 +2414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.421806162 -0.378362874 +2415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.250690201 -0.378362874 +2416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.173378549 -0.378362874 +2417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.362858367 -0.378362874 +2419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.761240262 -0.378362874 +2420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.098000223 -0.378362874 +2418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.425497079 -0.378362874 +2421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.144055111 -0.378362874 +2423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.625708315 -0.378362874 +2422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.619843551 -0.378362874 +2424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.372169187 -0.378362874 +2425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.164708697 -0.378362874 +2426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.714204564 -0.378362874 +2427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.824964343 -0.378362874 +2428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.425231109 -0.378362874 +2429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.18251702 -0.378362874 +2431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.265507355 -0.378362874 +2430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.538477235 -0.378362874 +2432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.476778915 -0.378362874 +2433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.521938131 -0.378362874 +2435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.029836219 -0.378362874 +2434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.032659662 -0.378362874 +2436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.014393228 -0.378362874 +2438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.200212497 -0.378362874 +2440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.349123673 -0.378362874 +2437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.843866051 -0.378362874 +2439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.49860614 -0.378362874 +2441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.677721577 -0.378362874 +2442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.409139533 -0.378362874 +2443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.794993 -0.378362874 +2445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.696182137 -0.378362874 +2446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.321419398 -0.378362874 +2447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.355946873 -0.378362874 +2444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.704544737 -0.378362874 +2448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.137679301 -0.378362874 +2449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.044006809 -0.378362874 +2451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.566578388 -0.378362874 +2450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.418794794 -0.378362874 +2452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.470102982 -0.378362874 +2454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.369872392 -0.378362874 +2453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.264625315 -0.378362874 +2457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.125628721 -0.378362874 +2456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.61261288 -0.378362874 +2455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.550633029 -0.378362874 +2459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.349828536 -0.378362874 +2458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.744683446 -0.378362874 +2461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.461596877 -0.378362874 +2460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.343241782 -0.378362874 +2462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.075202691 -0.378362874 +2464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.406454571 -0.378362874 +2463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.143158479 -0.378362874 +2465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.571887108 -0.378362874 +2466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.73430662 -0.378362874 +2468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.802829861 -0.378362874 +2469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.369360517 -0.378362874 +2467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.083762392 -0.378362874 +2470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.296859621 -0.378362874 +2471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.190271791 -0.378362874 +2472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.071277037 -0.378362874 +2473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.678502844 -0.378362874 +2474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.478213306 -0.378362874 +2477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.055037199 -0.378362874 +2476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.074544942 -0.378362874 +2475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.041684231 -0.378362874 +2478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.047909796 -0.378362874 +2479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.444138475 -0.378362874 +2480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.513378584 -0.378362874 +2483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.115346721 -0.378362874 +2484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.341934401 -0.378362874 +2482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.033893971 -0.378362874 +2481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.07302266 -0.378362874 +2485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.487658143 -0.378362874 +2486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.573871267 -0.378362874 +2487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.849050223 -0.378362874 +2489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.645939509 -0.378362874 +2488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.706240603 -0.378362874 +2490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.326528067 -0.378362874 +2493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.12154697 -0.378362874 +2491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.770346905 -0.378362874 +2492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.473482807 -0.378362874 +2494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.790490126 -0.378362874 +2495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.233700931 -0.378362874 +2496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.461229387 -0.378362874 +2497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.752613974 -0.378362874 +2498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.704250958 -0.378362874 +2500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.247445318 -0.378362874 +2499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.628748268 -0.378362874 +2501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.029786463 -0.378362874 +2502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.149024602 -0.378362874 +2503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.411305168 -0.378362874 +2504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.651831518 -0.378362874 +2505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.011138683 -0.378362874 +2506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.200756546 -0.378362874 +2508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.79866089 -0.378362874 +2507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.22557062 -0.378362874 +2509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.428858241 -0.378362874 +2510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.283489196 -0.378362874 +2511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.06775009 -0.378362874 +2512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.725092783 -0.378362874 +2514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.260682701 -0.378362874 +2513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.478800223 -0.378362874 +2515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.512002162 -0.378362874 +2516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.754528712 -0.378362874 +2517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.756672187 -0.378362874 +2518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.43674732 -0.378362874 +2519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.097689649 -0.378362874 +2520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.132074156 -0.378362874 +2521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.60516006 -0.378362874 +2522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.556542461 -0.378362874 +2524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.210874116 -0.378362874 +2523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.40817255 -0.378362874 +2525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.178548905 -0.378362874 +2526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.516361245 -0.378362874 +2528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.77185724 -0.378362874 +2527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.663381689 -0.378362874 +2529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.446306226 -0.378362874 +2530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.798626408 -0.378362874 +2531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.175602366 -0.378362874 +2532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.482334986 -0.378362874 +2534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.403769505 -0.378362874 +2533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.457667374 -0.378362874 +2535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.414741341 -0.378362874 +2536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.514126325 -0.378362874 +2537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.773591678 -0.378362874 +2538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.517793545 -0.378362874 +2540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.480900377 -0.378362874 +2539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.525476866 -0.378362874 +2541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.441465307 -0.378362874 +2542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.240618638 -0.378362874 +2543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.150273773 -0.378362874 +2544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.072777458 -0.378362874 +2545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.020329332 -0.378362874 +2546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.333153231 -0.378362874 +2547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.731884981 -0.378362874 +2548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.723075605 -0.378362874 +2549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.307426614 -0.378362874 +2552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.528663567 -0.378362874 +2553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.318172586 -0.378362874 +2550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.511673893 -0.378362874 +2554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.64266356 -0.378362874 +2551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.280673107 -0.378362874 +2555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.589205617 -0.378362874 +2556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.230554955 -0.378362874 +2557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.572934472 -0.378362874 +2558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.476330291 -0.378362874 +2562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.076192515 -0.378362874 +2561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.019311101 -0.378362874 +2563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.774345832 -0.378362874 +2560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.404021036 -0.378362874 +2564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.574977207 -0.378362874 +2559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.454203259 -0.378362874 +2565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.064715922 -0.378362874 +2566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.545190804 -0.378362874 +2568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.312229779 -0.378362874 +2567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.065201348 -0.378362874 +2569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.700007673 -0.378362874 +2571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.312822818 -0.378362874 +2570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.040475085 -0.378362874 +2572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.042444418 -0.378362874 +2573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.417496422 -0.378362874 +2574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.553364283 -0.378362874 +2575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.655031796 -0.378362874 +2577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.69955921 -0.378362874 +2576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.760174644 -0.378362874 +2578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.756316681 -0.378362874 +2580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.514786027 -0.378362874 +2579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.118635128 -0.378362874 +2581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.356573222 -0.378362874 +2583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.222911104 -0.378362874 +2584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.032735185 -0.378362874 +2585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.846338867 -0.378362874 +2582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.16221512 -0.378362874 +2586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.533418684 -0.378362874 +2587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.119243129 -0.378362874 +2589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.586802266 -0.378362874 +2588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.287962555 -0.378362874 +2590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.40752485 -0.378362874 +2591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.599405968 -0.378362874 +2592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.396049067 -0.378362874 +2593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.381156816 -0.378362874 +2594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.014033857 -0.378362874 +2595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.661353619 -0.378362874 +2596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.006632723 -0.378362874 +2597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.139169535 -0.378362874 +2598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.460575212 -0.378362874 +2599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.128571154 -0.378362874 +2600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -3.13E-04 -0.378362874 +2601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.049230855 -0.378362874 +2603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.782886972 -0.378362874 +2602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.388162674 -0.378362874 +2604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.301807954 -0.378362874 +2606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.535651351 -0.378362874 +2607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.679960868 -0.378362874 +2605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.684120759 -0.378362874 +2608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.243756847 -0.378362874 +2609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.554524197 -0.378362874 +2610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.311652446 -0.378362874 +2611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.534645651 -0.378362874 +2613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.735062022 -0.378362874 +2612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.54386803 -0.378362874 +2614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.372076227 -0.378362874 +2616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.828390033 -0.378362874 +2615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.627772102 -0.378362874 +2618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.074162212 -0.378362874 +2617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.685575499 -0.378362874 +2619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.824390229 -0.378362874 +2620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.643660392 -0.378362874 +2621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.155700853 -0.378362874 +2622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.60625611 -0.378362874 +2623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.065538163 -0.378362874 +2625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.239259419 -0.378362874 +2626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.025329243 -0.378362874 +2624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.677521691 -0.378362874 +2627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.410518081 -0.378362874 +2629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.606633704 -0.378362874 +2628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.543131652 -0.378362874 +2630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.185232465 -0.378362874 +2631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.586123998 -0.378362874 +2633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.322676588 -0.378362874 +2632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.721811956 -0.378362874 +2635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.307517397 -0.378362874 +2634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.384255291 -0.378362874 +2636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.458754646 -0.378362874 +2638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.24472592 -0.378362874 +2637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.12619146 -0.378362874 +2639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.352625895 -0.378362874 +2640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.569165564 -0.378362874 +2641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.593415968 -0.378362874 +2642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.199531499 -0.378362874 +2643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.386295329 -0.378362874 +2646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.532313623 -0.378362874 +2645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.090132138 -0.378362874 +2644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.538207138 -0.378362874 +2647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.745725988 -0.378362874 +2648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.348936211 -0.378362874 +2650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.361425733 -0.378362874 +2649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.317695922 -0.378362874 +2652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.453554508 -0.378362874 +2654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.030162374 -0.378362874 +2653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.266703386 -0.378362874 +2651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.495287012 -0.378362874 +2655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.579733278 -0.378362874 +2656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.395132837 -0.378362874 +2658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.082445721 -0.378362874 +2657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.38666348 -0.378362874 +2661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.683013804 -0.378362874 +2659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.499701681 -0.378362874 +2660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.598196608 -0.378362874 +2662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.27771516 -0.378362874 +2663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.020159236 -0.378362874 +2664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.503974505 -0.378362874 +2666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.491505588 -0.378362874 +2665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.288692725 -0.378362874 +2667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.304518159 -0.378362874 +2669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.603382371 -0.378362874 +2668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.370894121 -0.378362874 +2671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.699096922 -0.378362874 +2672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.014886368 -0.378362874 +2673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.571559296 -0.378362874 +2670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.085941993 -0.378362874 +2674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.403216015 -0.378362874 +2677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.511065273 -0.378362874 +2676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.552463437 -0.378362874 +2675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.532536794 -0.378362874 +2678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.5991369 -0.378362874 +2679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.787133653 -0.378362874 +2680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.617146292 -0.378362874 +2682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.459259059 -0.378362874 +2681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.668052915 -0.378362874 +2684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.469224735 -0.378362874 +2683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.323722997 -0.378362874 +2685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.174466958 -0.378362874 +2686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.054283315 -0.378362874 +2687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.568520192 -0.378362874 +2688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.558291634 -0.378362874 +2689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.550684377 -0.378362874 +2692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.240172418 -0.378362874 +2691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.033799356 -0.378362874 +2693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.203564955 -0.378362874 +2690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.523532295 -0.378362874 +2694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.178818111 -0.378362874 +2696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.021449308 -0.378362874 +2695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.010226252 -0.378362874 +2697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.070514603 -0.378362874 +2698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.249208485 -0.378362874 +2699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.735588842 -0.378362874 +2700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.787805726 -0.378362874 +2701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.023946904 -0.378362874 +2702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.017252479 -0.378362874 +2704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.604055425 -0.378362874 +2703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.668178052 -0.378362874 +2707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.621566633 -0.378362874 +2706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.358946061 -0.378362874 +2705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.491424657 -0.378362874 +2708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.187324084 -0.378362874 +2709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.003810471 -0.378362874 +2710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.638156581 -0.378362874 +2711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.2710585 -0.378362874 +2712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.019649719 -0.378362874 +2714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.454857083 -0.378362874 +2715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.783666369 -0.378362874 +2713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.391162542 -0.378362874 +2717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.210682899 -0.378362874 +2716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.080406521 -0.378362874 +2719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.177590584 -0.378362874 +2720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.503890051 -0.378362874 +2723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.236929111 -0.378362874 +2718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.305311725 -0.378362874 +2721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.756528327 -0.378362874 +2722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.370868639 -0.378362874 +2724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.359269 -0.378362874 +2725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.598971162 -0.378362874 +2727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.055780716 -0.378362874 +2726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.457859294 -0.378362874 +2728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.208910485 -0.378362874 +2730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.489427032 -0.378362874 +2729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.604793204 -0.378362874 +2731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.704500192 -0.378362874 +2732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.402026033 -0.378362874 +2733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.675339339 -0.378362874 +2735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.739852155 -0.378362874 +2734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.547775676 -0.378362874 +2737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.408915606 -0.378362874 +2739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.098738886 -0.378362874 +2738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.059039679 -0.378362874 +2736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.09560231 -0.378362874 +2740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.139206637 -0.378362874 +2741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.001656644 -0.378362874 +2742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.220694626 -0.378362874 +2743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.046390005 -0.378362874 +2744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.477523258 -0.378362874 +2745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.280216132 -0.378362874 +2747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.678756765 -0.378362874 +2746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.409439065 -0.378362874 +2748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.23924046 -0.378362874 +2749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.790949982 -0.378362874 +2750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.746496338 -0.378362874 +2751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.523502193 -0.378362874 +2752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.773372224 -0.378362874 +2754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.456013925 -0.378362874 +2753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.080588276 -0.378362874 +2755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.414299643 -0.378362874 +2756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.307130279 -0.378362874 +2757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.234199055 -0.378362874 +2758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.420561437 -0.378362874 +2759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.298486782 -0.378362874 +2760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.515099398 -0.378362874 +2761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.567953725 -0.378362874 +2762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.038060069 -0.378362874 +2764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.433549496 -0.378362874 +2765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.323124221 -0.378362874 +2766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.297838782 -0.378362874 +2767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.60070347 -0.378362874 +2763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.577771169 -0.378362874 +2768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.631297691 -0.378362874 +2769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.631185222 -0.378362874 +2770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.008905463 -0.378362874 +2771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.283544686 -0.378362874 +2773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.733722353 -0.378362874 +2772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.360719657 -0.378362874 +2774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.462392729 -0.378362874 +2776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.649974957 -0.378362874 +2777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.157978586 -0.378362874 +2775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.014648621 -0.378362874 +2778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.735134137 -0.378362874 +2780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.045862425 -0.378362874 +2779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.317543642 -0.378362874 +2781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.167995365 -0.378362874 +2782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.333024451 -0.378362874 +2783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.707982938 -0.378362874 +2784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.432981862 -0.378362874 +2786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.074715534 -0.378362874 +2785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.001722332 -0.378362874 +2787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.482248995 -0.378362874 +2788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.753751712 -0.378362874 +2790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.240738571 -0.378362874 +2791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.462965371 -0.378362874 +2789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.309750923 -0.378362874 +2792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.490113135 -0.378362874 +2793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.151237254 -0.378362874 +2794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.024798365 -0.378362874 +2795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.643306876 -0.378362874 +2796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.355976607 -0.378362874 +2797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.259361576 -0.378362874 +2798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.476710457 -0.378362874 +2799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.243459492 -0.378362874 +2800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.27608374 -0.378362874 +2801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.033399526 -0.378362874 +2802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.177010838 -0.378362874 +2803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.846618394 -0.378362874 +2804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.466462931 -0.378362874 +2806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.261861097 -0.378362874 +2808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.278924988 -0.378362874 +2807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.686154577 -0.378362874 +2805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.5710068 -0.378362874 +2809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.089991297 -0.378362874 +2810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.893965427 -0.378362874 +2812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.277085154 -0.378362874 +2811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.334749223 -0.378362874 +2813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.394174592 -0.378362874 +2814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.040097859 -0.378362874 +2816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.085616635 -0.378362874 +2815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.3638228 -0.378362874 +2817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.01237927 -0.378362874 +2819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.714828444 -0.378362874 +2820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.224413799 -0.378362874 +2821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.430293018 -0.378362874 +2822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.375049554 -0.378362874 +2818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.678405766 -0.378362874 +2823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.212993787 -0.378362874 +2824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.016747118 -0.378362874 +2825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.521682534 -0.378362874 +2826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.328738534 -0.378362874 +2827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.427154526 -0.378362874 +2829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.271178272 -0.378362874 +2828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.250300293 -0.378362874 +2830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.16980581 -0.378362874 +2831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.221071406 -0.378362874 +2832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.225602217 -0.378362874 +2833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.334328063 -0.378362874 +2835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.100977605 -0.378362874 +2834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.411076459 -0.378362874 +2837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.024946363 -0.378362874 +2836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.305145475 -0.378362874 +2838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.532992913 -0.378362874 +2839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.057427714 -0.378362874 +2840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.006279737 -0.378362874 +2841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.316818487 -0.378362874 +2842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.014333619 -0.378362874 +2843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.53233652 -0.378362874 +2844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.704180085 -0.378362874 +2845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.644077767 -0.378362874 +2847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.219655479 -0.378362874 +2846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.440726069 -0.378362874 +2848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.582873162 -0.378362874 +2849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.160621084 -0.378362874 +2850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.36003352 -0.378362874 +2851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.497712733 -0.378362874 +2852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.269403428 -0.378362874 +2853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.795111458 -0.378362874 +2854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.401952411 -0.378362874 +2856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.153493998 -0.378362874 +2855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.204811637 -0.378362874 +2857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.139872194 -0.378362874 +2859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.487884562 -0.378362874 +2858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.340946028 -0.378362874 +2860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.200614125 -0.378362874 +2861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.757395511 -0.378362874 +2862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.439474062 -0.378362874 +2863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.805587889 -0.378362874 +2865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.257350991 -0.378362874 +2868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.461633709 -0.378362874 +2867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.174119239 -0.378362874 +2866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.321436668 -0.378362874 +2869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.119084369 -0.378362874 +2864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.513853564 -0.378362874 +2870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.398491598 -0.378362874 +2871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.326818562 -0.378362874 +2872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.545027029 -0.378362874 +2874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.154728361 -0.378362874 +2875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.593856394 -0.378362874 +2876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.5162431 -0.378362874 +2873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.044314553 -0.378362874 +2877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.230988679 -0.378362874 +2878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.190700916 -0.378362874 +2880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.621518581 -0.378362874 +2879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.33243147 -0.378362874 +2881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.587347804 -0.378362874 +2882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.027962289 -0.378362874 +2883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.649119479 -0.378362874 +2884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.198068595 -0.378362874 +2885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.015432901 -0.378362874 +2886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.036612813 -0.378362874 +2887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.388505673 -0.378362874 +2889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.246930328 -0.378362874 +2888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.452226634 -0.378362874 +2890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.249429123 -0.378362874 +2892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.056332162 -0.378362874 +2891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.676067647 -0.378362874 +2894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.284886466 -0.378362874 +2893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.741161142 -0.378362874 +2895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.576776321 -0.378362874 +2898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.540845199 -0.378362874 +2897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.703845793 -0.378362874 +2899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.226417756 -0.378362874 +2900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.337542325 -0.378362874 +2896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.003916906 -0.378362874 +2901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.787437291 -0.378362874 +2902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.539567993 -0.378362874 +2903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.510717606 -0.378362874 +2904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.504210561 -0.378362874 +2905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.01536602 -0.378362874 +2906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.055737863 -0.378362874 +2908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.062891186 -0.378362874 +2907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.383383274 -0.378362874 +2909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.485924461 -0.378362874 +2912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.772038419 -0.378362874 +2910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.576839175 -0.378362874 +2911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.002167458 -0.378362874 +2913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.143041064 -0.378362874 +2914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.848028224 -0.378362874 +2915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.382516368 -0.378362874 +2917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.703156253 -0.378362874 +2916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.721704315 -0.378362874 +2918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.649851164 -0.378362874 +2920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.567441594 -0.378362874 +2921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.027072432 -0.378362874 +2923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.214414673 -0.378362874 +2922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.006717937 -0.378362874 +2919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.726288985 -0.378362874 +2924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.400203336 -0.378362874 +2925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.026468248 -0.378362874 +2927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.051909349 -0.378362874 +2930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.614156324 -0.378362874 +2928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.645433023 -0.378362874 +2926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.683716629 -0.378362874 +2929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.186712816 -0.378362874 +2932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.046263055 -0.378362874 +2931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.002312394 -0.378362874 +2933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.595541609 -0.378362874 +2936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.088913846 -0.378362874 +2934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.006057381 -0.378362874 +2935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.065348229 -0.378362874 +2938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.535063643 -0.378362874 +2937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.110902909 -0.378362874 +2939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.180178528 -0.378362874 +2940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.558939557 -0.378362874 +2941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.001443791 -0.378362874 +2943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.554704047 -0.378362874 +2942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.401413638 -0.378362874 +2944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.319509177 -0.378362874 +2946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.478453606 -0.378362874 +2945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.795527768 -0.378362874 +2947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.543952048 -0.378362874 +2949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.371848235 -0.378362874 +2948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.666316495 -0.378362874 +2950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.040054049 -0.378362874 +2951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.393477615 -0.378362874 +2952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.013503832 -0.378362874 +2953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.700348666 -0.378362874 +2955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.475756321 -0.378362874 +2954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.136756935 -0.378362874 +2956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.252657229 -0.378362874 +2958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.195797501 -0.378362874 +2959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.04582061 -0.378362874 +2957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.373083847 -0.378362874 +2960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.321575896 -0.378362874 +2961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.675252148 -0.378362874 +2962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.415215705 -0.378362874 +2963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.783127532 -0.378362874 +2964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.692404983 -0.378362874 +2965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.438837341 -0.378362874 +2966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.451772568 -0.378362874 +2968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.298874794 -0.378362874 +2967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.450852238 -0.378362874 +2969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.57972541 -0.378362874 +2971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.190018341 -0.378362874 +2970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.435193291 -0.378362874 +2972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.628719269 -0.378362874 +2973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.197072004 -0.378362874 +2974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.294936896 -0.378362874 +2975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.190418725 -0.378362874 +2976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.797454481 -0.378362874 +2977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.645958502 -0.378362874 +2979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.187733201 -0.378362874 +2978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.166860452 -0.378362874 +2980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.444202972 -0.378362874 +2981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.182751243 -0.378362874 +2982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.545557189 -0.378362874 +2983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.40030719 -0.378362874 +2987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.716384394 -0.378362874 +2985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 0.061431486 -0.378362874 +2988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.113796998 -0.378362874 +2984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.742943492 -0.378362874 +2989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.798431663 -0.378362874 +2986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.468942126 -0.378362874 +2990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.862638952 -0.378362874 +2991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.665945397 -0.378362874 +2992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.28648064 -0.378362874 +2994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.205344494 -0.378362874 +2993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.556457672 -0.378362874 +2995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.721296087 -0.378362874 +2996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.062769248 -0.378362874 +2997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.377034408 -0.378362874 +2998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.211088731 -0.378362874 +2999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.030682975 -0.378362874 +3000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.9 10 1 -0.216983472 -0.378362874 +3001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.146360542 -0.394405791 +3002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.049786791 -0.394405791 +3004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.081413602 -0.394405791 +3006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.670321988 -0.394405791 +3003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.330257429 -0.394405791 +3005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.673379399 -0.394405791 +3007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.120012732 -0.394405791 +3008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.074894734 -0.394405791 +3009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.448672657 -0.394405791 +3011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.371361847 -0.394405791 +3010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.4101377 -0.394405791 +3012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.573058698 -0.394405791 +3014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.349086414 -0.394405791 +3013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.393685386 -0.394405791 +3015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.623727688 -0.394405791 +3016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.865714117 -0.394405791 +3019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.392624207 -0.394405791 +3020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.40068476 -0.394405791 +3021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.302562551 -0.394405791 +3018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.467374202 -0.394405791 +3017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.573162987 -0.394405791 +3022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.852894494 -0.394405791 +3023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.130956732 -0.394405791 +3024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.333067963 -0.394405791 +3025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.754736293 -0.394405791 +3026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.663334586 -0.394405791 +3027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.69598435 -0.394405791 +3029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.458793332 -0.394405791 +3028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.52726523 -0.394405791 +3031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.406081214 -0.394405791 +3032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.610887359 -0.394405791 +3033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.553524786 -0.394405791 +3030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.480352834 -0.394405791 +3034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.14056182 -0.394405791 +3036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.621074147 -0.394405791 +3037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.286438826 -0.394405791 +3035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.619882293 -0.394405791 +3038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.008530285 -0.394405791 +3042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.71507099 -0.394405791 +3040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.391245443 -0.394405791 +3041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.480470808 -0.394405791 +3039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.740437056 -0.394405791 +3044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.58644183 -0.394405791 +3043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.443675969 -0.394405791 +3046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.525378184 -0.394405791 +3045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.218354903 -0.394405791 +3047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.183128866 -0.394405791 +3048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.123213846 -0.394405791 +3050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.142918432 -0.394405791 +3051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.504040078 -0.394405791 +3052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.086827854 -0.394405791 +3049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.749284235 -0.394405791 +3054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.21444407 -0.394405791 +3053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.753021233 -0.394405791 +3056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.59614392 -0.394405791 +3055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.409008605 -0.394405791 +3057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.012471196 -0.394405791 +3059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.47280428 -0.394405791 +3058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.056510854 -0.394405791 +3060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.030447389 -0.394405791 +3062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.717761241 -0.394405791 +3061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.277554282 -0.394405791 +3063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.249665882 -0.394405791 +3064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.563866387 -0.394405791 +3065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.034292223 -0.394405791 +3066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.05937248 -0.394405791 +3067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.58001336 -0.394405791 +3070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.72566047 -0.394405791 +3069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.721523138 -0.394405791 +3068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.008510306 -0.394405791 +3071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.268029164 -0.394405791 +3072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.197688529 -0.394405791 +3073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.378487603 -0.394405791 +3074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.81468729 -0.394405791 +3075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.469570738 -0.394405791 +3076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.256198203 -0.394405791 +3077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.279650448 -0.394405791 +3078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.209696507 -0.394405791 +3079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.027029262 -0.394405791 +3080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.143519059 -0.394405791 +3081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.783012168 -0.394405791 +3082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.18599225 -0.394405791 +3083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.128095819 -0.394405791 +3085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.063955127 -0.394405791 +3087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.104233428 -0.394405791 +3088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.319604287 -0.394405791 +3084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.509081017 -0.394405791 +3090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.327700629 -0.394405791 +3089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.006436369 -0.394405791 +3086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.509251883 -0.394405791 +3091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.767615363 -0.394405791 +3095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.80434236 -0.394405791 +3093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.463442001 -0.394405791 +3094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.277124649 -0.394405791 +3092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.361719298 -0.394405791 +3097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.020745853 -0.394405791 +3096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.126755324 -0.394405791 +3098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.709231703 -0.394405791 +3099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.708077505 -0.394405791 +3101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.583817619 -0.394405791 +3102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.144505263 -0.394405791 +3103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.554218323 -0.394405791 +3104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.593751689 -0.394405791 +3105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.081642835 -0.394405791 +3100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.028811363 -0.394405791 +3108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.140094282 -0.394405791 +3107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.289518161 -0.394405791 +3109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.218604395 -0.394405791 +3106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.31960012 -0.394405791 +3111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.644956162 -0.394405791 +3112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.018813255 -0.394405791 +3110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.092907346 -0.394405791 +3113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.540454198 -0.394405791 +3114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.224332638 -0.394405791 +3115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.101639745 -0.394405791 +3116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.525691539 -0.394405791 +3118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.56158048 -0.394405791 +3117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.418281688 -0.394405791 +3119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.374942697 -0.394405791 +3121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.02413746 -0.394405791 +3120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.478897497 -0.394405791 +3123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.741272577 -0.394405791 +3122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.419079776 -0.394405791 +3124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.665644705 -0.394405791 +3125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.322930495 -0.394405791 +3127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 1.45E-04 -0.394405791 +3126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.425565667 -0.394405791 +3128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.604245665 -0.394405791 +3129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.823559032 -0.394405791 +3131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.209770378 -0.394405791 +3132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.189358903 -0.394405791 +3133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.300529936 -0.394405791 +3130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.003880723 -0.394405791 +3134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.615866416 -0.394405791 +3135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.006590814 -0.394405791 +3136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.031844277 -0.394405791 +3138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.261300478 -0.394405791 +3140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.016484225 -0.394405791 +3139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.561239559 -0.394405791 +3137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.165908709 -0.394405791 +3141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.317068954 -0.394405791 +3142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.311634736 -0.394405791 +3145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.181156033 -0.394405791 +3146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.521831687 -0.394405791 +3147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.389445221 -0.394405791 +3144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.606651592 -0.394405791 +3148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.569557368 -0.394405791 +3143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.422018654 -0.394405791 +3150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.492694547 -0.394405791 +3149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.410229932 -0.394405791 +3151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.100497939 -0.394405791 +3153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.623859617 -0.394405791 +3152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.683495508 -0.394405791 +3154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.686164855 -0.394405791 +3156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.136536328 -0.394405791 +3157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.286268263 -0.394405791 +3155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.291458764 -0.394405791 +3158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.600153787 -0.394405791 +3159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.050114402 -0.394405791 +3160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.133257969 -0.394405791 +3161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.115837839 -0.394405791 +3162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.475292254 -0.394405791 +3165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.775214384 -0.394405791 +3166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.454183568 -0.394405791 +3164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.602592661 -0.394405791 +3163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.755747358 -0.394405791 +3168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.383556054 -0.394405791 +3167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.524327183 -0.394405791 +3169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.374399532 -0.394405791 +3170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.603579831 -0.394405791 +3173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.491952719 -0.394405791 +3174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.361357312 -0.394405791 +3176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.706376228 -0.394405791 +3171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.788158791 -0.394405791 +3172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.562036336 -0.394405791 +3175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.012263485 -0.394405791 +3177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.763864967 -0.394405791 +3178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.536060849 -0.394405791 +3179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.107566506 -0.394405791 +3182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.253009795 -0.394405791 +3181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.521919211 -0.394405791 +3183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.68714612 -0.394405791 +3184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.346859647 -0.394405791 +3185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.684642141 -0.394405791 +3186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.714926131 -0.394405791 +3187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.307370501 -0.394405791 +3180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.453872166 -0.394405791 +3188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.248065479 -0.394405791 +3189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.291120772 -0.394405791 +3191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.140867778 -0.394405791 +3192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.262661174 -0.394405791 +3193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.68141604 -0.394405791 +3190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.58659877 -0.394405791 +3194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.623331897 -0.394405791 +3195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.290065509 -0.394405791 +3197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.175859309 -0.394405791 +3198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.374167353 -0.394405791 +3196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.349320591 -0.394405791 +3201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.396832747 -0.394405791 +3200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.529979945 -0.394405791 +3199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.194093185 -0.394405791 +3202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.190067542 -0.394405791 +3203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.59373827 -0.394405791 +3205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.481553188 -0.394405791 +3204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.469540758 -0.394405791 +3206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.017907835 -0.394405791 +3207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.55727551 -0.394405791 +3209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.504120781 -0.394405791 +3208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.310888858 -0.394405791 +3210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.007327916 -0.394405791 +3212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.559723428 -0.394405791 +3213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.096345021 -0.394405791 +3211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.200691675 -0.394405791 +3214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.722815477 -0.394405791 +3215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.68410714 -0.394405791 +3216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.750517247 -0.394405791 +3218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.249931835 -0.394405791 +3217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.727504027 -0.394405791 +3220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.336304914 -0.394405791 +3219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.009353409 -0.394405791 +3222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.366391279 -0.394405791 +3223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.104563065 -0.394405791 +3224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.45301973 -0.394405791 +3226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.442627746 -0.394405791 +3221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.187401762 -0.394405791 +3225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.557948645 -0.394405791 +3227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.522077284 -0.394405791 +3228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.555600799 -0.394405791 +3229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.077193205 -0.394405791 +3231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.026199519 -0.394405791 +3230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.691454706 -0.394405791 +3232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.635788383 -0.394405791 +3234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.171808652 -0.394405791 +3235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.827776088 -0.394405791 +3233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.726980098 -0.394405791 +3236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.790761029 -0.394405791 +3237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.487500285 -0.394405791 +3238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.071408609 -0.394405791 +3239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.265072275 -0.394405791 +3241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.83062873 -0.394405791 +3240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.349974582 -0.394405791 +3244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.727668557 -0.394405791 +3243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.059020499 -0.394405791 +3246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.256210097 -0.394405791 +3242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -4.52E-04 -0.394405791 +3245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.644489692 -0.394405791 +3247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.366415966 -0.394405791 +3248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.184385568 -0.394405791 +3249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.606179918 -0.394405791 +3250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.81185859 -0.394405791 +3253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.291968635 -0.394405791 +3252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.132864325 -0.394405791 +3251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.623524726 -0.394405791 +3255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.298489574 -0.394405791 +3256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.347204681 -0.394405791 +3254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.557779273 -0.394405791 +3258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.574345268 -0.394405791 +3257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.418725065 -0.394405791 +3259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.77933166 -0.394405791 +3260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.044278722 -0.394405791 +3262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.761811321 -0.394405791 +3263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.406382529 -0.394405791 +3261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.238348981 -0.394405791 +3264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.660974969 -0.394405791 +3266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.524860441 -0.394405791 +3265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.689108368 -0.394405791 +3267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.183092643 -0.394405791 +3268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.389511833 -0.394405791 +3269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.354486725 -0.394405791 +3272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.159422512 -0.394405791 +3270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.236178124 -0.394405791 +3273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.193211948 -0.394405791 +3271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.575132234 -0.394405791 +3274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.033719213 -0.394405791 +3275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.809033527 -0.394405791 +3276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.634506667 -0.394405791 +3278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.289876376 -0.394405791 +3277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.789183495 -0.394405791 +3279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.239743133 -0.394405791 +3282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.452332312 -0.394405791 +3281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.259703675 -0.394405791 +3283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.077569192 -0.394405791 +3280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.314749523 -0.394405791 +3284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.116856214 -0.394405791 +3285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.029123138 -0.394405791 +3286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.508811407 -0.394405791 +3287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.097420489 -0.394405791 +3288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.687695418 -0.394405791 +3289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.428816883 -0.394405791 +3290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.454680156 -0.394405791 +3291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.402334088 -0.394405791 +3292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.666433208 -0.394405791 +3293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.135823455 -0.394405791 +3294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.335114964 -0.394405791 +3296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.31978854 -0.394405791 +3295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.064995744 -0.394405791 +3297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.395091926 -0.394405791 +3300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.606407286 -0.394405791 +3301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.671120472 -0.394405791 +3302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.63367314 -0.394405791 +3299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.767628046 -0.394405791 +3298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.620444699 -0.394405791 +3303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.58766045 -0.394405791 +3305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.789640635 -0.394405791 +3304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.255871133 -0.394405791 +3306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.647221898 -0.394405791 +3307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.662627132 -0.394405791 +3308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.211797225 -0.394405791 +3309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.221681518 -0.394405791 +3311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.539417255 -0.394405791 +3312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.300939538 -0.394405791 +3310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.353482955 -0.394405791 +3314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.241346027 -0.394405791 +3313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.126541623 -0.394405791 +3315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.68512645 -0.394405791 +3316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.702559723 -0.394405791 +3317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.612337242 -0.394405791 +3318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.574063579 -0.394405791 +3320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.54834376 -0.394405791 +3321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.079594738 -0.394405791 +3319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.540619617 -0.394405791 +3322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.13519905 -0.394405791 +3323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.040094046 -0.394405791 +3324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.077995933 -0.394405791 +3325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.429848485 -0.394405791 +3326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.775441845 -0.394405791 +3327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.592610592 -0.394405791 +3328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.069714649 -0.394405791 +3330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.274848484 -0.394405791 +3329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.45998737 -0.394405791 +3332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.455119564 -0.394405791 +3333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.096111155 -0.394405791 +3334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.1113755 -0.394405791 +3331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.247849752 -0.394405791 +3335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.121824037 -0.394405791 +3336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.207072986 -0.394405791 +3337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.299582415 -0.394405791 +3338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.721289565 -0.394405791 +3339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.217569497 -0.394405791 +3342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.493381387 -0.394405791 +3341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.551165261 -0.394405791 +3343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.443372578 -0.394405791 +3344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.373133645 -0.394405791 +3340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.389231266 -0.394405791 +3345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.587161916 -0.394405791 +3347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.736020937 -0.394405791 +3350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.006968355 -0.394405791 +3349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.293251152 -0.394405791 +3348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.268553167 -0.394405791 +3346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.495155537 -0.394405791 +3352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.748095773 -0.394405791 +3351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.744309385 -0.394405791 +3353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.378038105 -0.394405791 +3354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.589326825 -0.394405791 +3355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.708013584 -0.394405791 +3356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.177042706 -0.394405791 +3358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.314571131 -0.394405791 +3359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.334171743 -0.394405791 +3357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.252840169 -0.394405791 +3360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.545734762 -0.394405791 +3361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.483756243 -0.394405791 +3362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.211373216 -0.394405791 +3363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.14320481 -0.394405791 +3364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.192342027 -0.394405791 +3365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.401275131 -0.394405791 +3366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.562725003 -0.394405791 +3367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.736825755 -0.394405791 +3369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.434897294 -0.394405791 +3368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.505520124 -0.394405791 +3370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.683610484 -0.394405791 +3371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.510078443 -0.394405791 +3372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.642830819 -0.394405791 +3374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.264496581 -0.394405791 +3377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.126570962 -0.394405791 +3375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.174327534 -0.394405791 +3378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.066200245 -0.394405791 +3373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.563793342 -0.394405791 +3379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.329477375 -0.394405791 +3380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.60520727 -0.394405791 +3376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.721221208 -0.394405791 +3381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.477244683 -0.394405791 +3383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.008366023 -0.394405791 +3382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.107103477 -0.394405791 +3385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.767210945 -0.394405791 +3386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.704895191 -0.394405791 +3384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.292432671 -0.394405791 +3388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.721362765 -0.394405791 +3389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.713939135 -0.394405791 +3387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.092481726 -0.394405791 +3391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.50254582 -0.394405791 +3393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.73150174 -0.394405791 +3394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.657569902 -0.394405791 +3395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.746239592 -0.394405791 +3390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.661905881 -0.394405791 +3392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.744047516 -0.394405791 +3396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.737112691 -0.394405791 +3397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.744449032 -0.394405791 +3398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.101692322 -0.394405791 +3399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.780609758 -0.394405791 +3401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.20024966 -0.394405791 +3400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.725466177 -0.394405791 +3404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.553315559 -0.394405791 +3403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.376885644 -0.394405791 +3405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.049258367 -0.394405791 +3402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.385026539 -0.394405791 +3407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.739122448 -0.394405791 +3406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.385153265 -0.394405791 +3410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.637509554 -0.394405791 +3409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.12831136 -0.394405791 +3408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.665772921 -0.394405791 +3411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.281195088 -0.394405791 +3412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.631012003 -0.394405791 +3414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.367683351 -0.394405791 +3415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.316792697 -0.394405791 +3418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.79939277 -0.394405791 +3417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.485025185 -0.394405791 +3413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.594883424 -0.394405791 +3416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.054804952 -0.394405791 +3419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.67374397 -0.394405791 +3420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.454143074 -0.394405791 +3423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.584972206 -0.394405791 +3426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.855206581 -0.394405791 +3425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.264820904 -0.394405791 +3421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.255125133 -0.394405791 +3422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.634992122 -0.394405791 +3424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.028932295 -0.394405791 +3427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.003695684 -0.394405791 +3428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.589602391 -0.394405791 +3429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.036659342 -0.394405791 +3432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.099592086 -0.394405791 +3433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.130836245 -0.394405791 +3434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.33390651 -0.394405791 +3430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.001390821 -0.394405791 +3436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.649617042 -0.394405791 +3435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.610181264 -0.394405791 +3431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.670672419 -0.394405791 +3437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.1926381 -0.394405791 +3438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.381663511 -0.394405791 +3439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.636675696 -0.394405791 +3441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.117779129 -0.394405791 +3440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.665790258 -0.394405791 +3442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.468999213 -0.394405791 +3443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.661342213 -0.394405791 +3444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.740516168 -0.394405791 +3445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.224938716 -0.394405791 +3446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.211671068 -0.394405791 +3448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.534482023 -0.394405791 +3449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.197041559 -0.394405791 +3450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.75801318 -0.394405791 +3447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.50992998 -0.394405791 +3451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.585685734 -0.394405791 +3453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.238651009 -0.394405791 +3454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.518559524 -0.394405791 +3452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.00296218 -0.394405791 +3455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.634134338 -0.394405791 +3456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.112868256 -0.394405791 +3457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.19420637 -0.394405791 +3459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.62315677 -0.394405791 +3458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.165433607 -0.394405791 +3460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.26189025 -0.394405791 +3463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.534846441 -0.394405791 +3464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.547411155 -0.394405791 +3461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.03697186 -0.394405791 +3462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.234923977 -0.394405791 +3465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.539000842 -0.394405791 +3466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.604491543 -0.394405791 +3469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.255847776 -0.394405791 +3468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.079027273 -0.394405791 +3467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.238564385 -0.394405791 +3471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.359682506 -0.394405791 +3470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.350905367 -0.394405791 +3473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.666882493 -0.394405791 +3472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.540972244 -0.394405791 +3474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.439830523 -0.394405791 +3476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.45003391 -0.394405791 +3477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.385214678 -0.394405791 +3475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.662404329 -0.394405791 +3479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.331289143 -0.394405791 +3480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.365936237 -0.394405791 +3482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.023022093 -0.394405791 +3478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.20720603 -0.394405791 +3481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.677219279 -0.394405791 +3485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.617530902 -0.394405791 +3484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.682583059 -0.394405791 +3483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.189433625 -0.394405791 +3487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.021490819 -0.394405791 +3486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.474247355 -0.394405791 +3488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.060497496 -0.394405791 +3489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.591972079 -0.394405791 +3493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.003355646 -0.394405791 +3492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.658559271 -0.394405791 +3491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.090291973 -0.394405791 +3494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.023311219 -0.394405791 +3490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.636514946 -0.394405791 +3495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.449155882 -0.394405791 +3496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.23690472 -0.394405791 +3497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.597067854 -0.394405791 +3500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.527874151 -0.394405791 +3498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.685230412 -0.394405791 +3499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.348825334 -0.394405791 +3501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.417755874 -0.394405791 +3503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.462681795 -0.394405791 +3502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.26909828 -0.394405791 +3505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.661693464 -0.394405791 +3507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.388634416 -0.394405791 +3504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.347816495 -0.394405791 +3509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.11249237 -0.394405791 +3506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.071796458 -0.394405791 +3511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.371833251 -0.394405791 +3508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.024967403 -0.394405791 +3512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.031623477 -0.394405791 +3514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.479673047 -0.394405791 +3510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.446699561 -0.394405791 +3513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.236149008 -0.394405791 +3515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.019099999 -0.394405791 +3516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.592374385 -0.394405791 +3517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.694715157 -0.394405791 +3518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.469546017 -0.394405791 +3519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.819679543 -0.394405791 +3520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.133637158 -0.394405791 +3521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.489754173 -0.394405791 +3522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.088815753 -0.394405791 +3523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.189501326 -0.394405791 +3524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.359065877 -0.394405791 +3526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.653911773 -0.394405791 +3525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.749024291 -0.394405791 +3527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.182010596 -0.394405791 +3529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.220615605 -0.394405791 +3530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.046143308 -0.394405791 +3531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.623552363 -0.394405791 +3532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.625439013 -0.394405791 +3533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.780349802 -0.394405791 +3528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.408494537 -0.394405791 +3535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.217604145 -0.394405791 +3536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.398273642 -0.394405791 +3537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.234896154 -0.394405791 +3540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.037670722 -0.394405791 +3539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.677143667 -0.394405791 +3541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.347537093 -0.394405791 +3538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.8373214 -0.394405791 +3534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.008553641 -0.394405791 +3542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.001592562 -0.394405791 +3543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.602795904 -0.394405791 +3544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.053675016 -0.394405791 +3546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.241819694 -0.394405791 +3547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.011857867 -0.394405791 +3550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.814962391 -0.394405791 +3545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.363586292 -0.394405791 +3549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.615479894 -0.394405791 +3548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.364620017 -0.394405791 +3551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.718918338 -0.394405791 +3552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.048866238 -0.394405791 +3553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.689451059 -0.394405791 +3554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.533682801 -0.394405791 +3555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.060378837 -0.394405791 +3556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.230942463 -0.394405791 +3559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.044794471 -0.394405791 +3560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.592357907 -0.394405791 +3558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.192959665 -0.394405791 +3557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.602364294 -0.394405791 +3561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.021864476 -0.394405791 +3562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.694453455 -0.394405791 +3563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.497409658 -0.394405791 +3564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.743493791 -0.394405791 +3565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.76144183 -0.394405791 +3566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.658574602 -0.394405791 +3567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.258598311 -0.394405791 +3569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.108373699 -0.394405791 +3568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.427491249 -0.394405791 +3571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.556978834 -0.394405791 +3572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.726349344 -0.394405791 +3573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.623966068 -0.394405791 +3574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.0614719 -0.394405791 +3575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.093222037 -0.394405791 +3570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.37800692 -0.394405791 +3576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.263144605 -0.394405791 +3578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.139378428 -0.394405791 +3579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.030318112 -0.394405791 +3581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.164151011 -0.394405791 +3577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.593065728 -0.394405791 +3583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.808601053 -0.394405791 +3580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.605040529 -0.394405791 +3584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.167924308 -0.394405791 +3585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.073369478 -0.394405791 +3582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.04671142 -0.394405791 +3589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.264859352 -0.394405791 +3588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.351337439 -0.394405791 +3587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.30429484 -0.394405791 +3586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.165943904 -0.394405791 +3590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.850752286 -0.394405791 +3593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.664646918 -0.394405791 +3591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.572146479 -0.394405791 +3592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.026141552 -0.394405791 +3594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.522860976 -0.394405791 +3595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.197218908 -0.394405791 +3596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.348917965 -0.394405791 +3598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.637897752 -0.394405791 +3599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.014152747 -0.394405791 +3601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.127415812 -0.394405791 +3600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.043703991 -0.394405791 +3597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.152712503 -0.394405791 +3602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.410685153 -0.394405791 +3603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.203078219 -0.394405791 +3604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.748037605 -0.394405791 +3605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.137323171 -0.394405791 +3606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.046551707 -0.394405791 +3607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.026134936 -0.394405791 +3608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.761013876 -0.394405791 +3610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.348700298 -0.394405791 +3609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.685799819 -0.394405791 +3611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.282046053 -0.394405791 +3612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.393675507 -0.394405791 +3614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.65568945 -0.394405791 +3615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.417157903 -0.394405791 +3616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.150962035 -0.394405791 +3617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.669923245 -0.394405791 +3613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.016343393 -0.394405791 +3620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.046449992 -0.394405791 +3622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.707358786 -0.394405791 +3619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.227331398 -0.394405791 +3618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.699607146 -0.394405791 +3623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.330787496 -0.394405791 +3621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.578614416 -0.394405791 +3624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.01508756 -0.394405791 +3625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.357551157 -0.394405791 +3628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.658527544 -0.394405791 +3627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.132629131 -0.394405791 +3629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.396676037 -0.394405791 +3630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.143253387 -0.394405791 +3631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.835138048 -0.394405791 +3626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.628710713 -0.394405791 +3632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.697871485 -0.394405791 +3633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.231217755 -0.394405791 +3634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.335694432 -0.394405791 +3635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.090333382 -0.394405791 +3637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.448193744 -0.394405791 +3638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.174049811 -0.394405791 +3639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.572696668 -0.394405791 +3636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.715365798 -0.394405791 +3640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.488170464 -0.394405791 +3641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.498519344 -0.394405791 +3643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.349128591 -0.394405791 +3642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.236047207 -0.394405791 +3644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.152172367 -0.394405791 +3645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.065644731 -0.394405791 +3646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.505581966 -0.394405791 +3647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.426665179 -0.394405791 +3648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.627100404 -0.394405791 +3649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.221003941 -0.394405791 +3651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.72100913 -0.394405791 +3650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.026375284 -0.394405791 +3652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.183820763 -0.394405791 +3653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.721700058 -0.394405791 +3654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.172610301 -0.394405791 +3656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.501472595 -0.394405791 +3657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.484406632 -0.394405791 +3658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.206921228 -0.394405791 +3659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.209348842 -0.394405791 +3660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.342861056 -0.394405791 +3655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.429054389 -0.394405791 +3662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.792671832 -0.394405791 +3661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.049681426 -0.394405791 +3663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.194807898 -0.394405791 +3664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.644134947 -0.394405791 +3667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.17585104 -0.394405791 +3665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.636323627 -0.394405791 +3666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.620493929 -0.394405791 +3668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.569978935 -0.394405791 +3670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.23122161 -0.394405791 +3669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.001874582 -0.394405791 +3671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.769133353 -0.394405791 +3672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.522772289 -0.394405791 +3673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.727890768 -0.394405791 +3674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.427888635 -0.394405791 +3675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.611390834 -0.394405791 +3676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.752477192 -0.394405791 +3677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.720077256 -0.394405791 +3678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.226842919 -0.394405791 +3679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.599335349 -0.394405791 +3680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.212476815 -0.394405791 +3681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.653027146 -0.394405791 +3682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.657260195 -0.394405791 +3683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.710547261 -0.394405791 +3686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.013680432 -0.394405791 +3685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.311437921 -0.394405791 +3684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.512277448 -0.394405791 +3687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.035131257 -0.394405791 +3688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.636653354 -0.394405791 +3689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.559293871 -0.394405791 +3690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.029714103 -0.394405791 +3691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.662083055 -0.394405791 +3693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.231311035 -0.394405791 +3692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.593646339 -0.394405791 +3695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.203960381 -0.394405791 +3694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.358110205 -0.394405791 +3696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.757300967 -0.394405791 +3697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.036609175 -0.394405791 +3698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.344774324 -0.394405791 +3699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.135325958 -0.394405791 +3700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.294564635 -0.394405791 +3701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.480138744 -0.394405791 +3702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.594484242 -0.394405791 +3704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.050137068 -0.394405791 +3705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.374558311 -0.394405791 +3707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.374241572 -0.394405791 +3706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.110525794 -0.394405791 +3703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.745190891 -0.394405791 +3708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.149576981 -0.394405791 +3709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.183209476 -0.394405791 +3710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.309859356 -0.394405791 +3711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.009890829 -0.394405791 +3712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.165134523 -0.394405791 +3714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.212683488 -0.394405791 +3713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.31702326 -0.394405791 +3716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.03671105 -0.394405791 +3715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.081149219 -0.394405791 +3717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.604807536 -0.394405791 +3718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.526273536 -0.394405791 +3719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.663924997 -0.394405791 +3720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.824835512 -0.394405791 +3722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.276658444 -0.394405791 +3721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.377530306 -0.394405791 +3723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.475845141 -0.394405791 +3724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.103104276 -0.394405791 +3725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.300674053 -0.394405791 +3727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.148838737 -0.394405791 +3726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.171050374 -0.394405791 +3728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.691326742 -0.394405791 +3729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.12189957 -0.394405791 +3730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.242343108 -0.394405791 +3731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.70580747 -0.394405791 +3733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.20018855 -0.394405791 +3735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.141850508 -0.394405791 +3734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.225449715 -0.394405791 +3736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.492036494 -0.394405791 +3732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.596556761 -0.394405791 +3737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.297375805 -0.394405791 +3738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.831311588 -0.394405791 +3739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.733782764 -0.394405791 +3740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.232761733 -0.394405791 +3741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.008938993 -0.394405791 +3742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.194544455 -0.394405791 +3743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.504502876 -0.394405791 +3744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.210900807 -0.394405791 +3745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.518809001 -0.394405791 +3746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.054175465 -0.394405791 +3747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.644189471 -0.394405791 +3748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.633879162 -0.394405791 +3749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.505204425 -0.394405791 +3750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.642599598 -0.394405791 +3751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.187089245 -0.394405791 +3753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.738267149 -0.394405791 +3754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.514205268 -0.394405791 +3755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.72534827 -0.394405791 +3752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.372189816 -0.394405791 +3756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.172359739 -0.394405791 +3757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.020779522 -0.394405791 +3758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.302973444 -0.394405791 +3759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.397219293 -0.394405791 +3760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.143066741 -0.394405791 +3762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.201556885 -0.394405791 +3761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.01383042 -0.394405791 +3763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.148341276 -0.394405791 +3764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.664824381 -0.394405791 +3765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.216193196 -0.394405791 +3766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.344316115 -0.394405791 +3767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.380197619 -0.394405791 +3768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.759805054 -0.394405791 +3769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.555730017 -0.394405791 +3770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.578164126 -0.394405791 +3774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.692495593 -0.394405791 +3772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.435559988 -0.394405791 +3773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.49176126 -0.394405791 +3771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.033136458 -0.394405791 +3775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.027688578 -0.394405791 +3777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.476222821 -0.394405791 +3776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.457306935 -0.394405791 +3778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.15974664 -0.394405791 +3781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.34704354 -0.394405791 +3779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.139483457 -0.394405791 +3780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.065282277 -0.394405791 +3783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.595222231 -0.394405791 +3782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.768417012 -0.394405791 +3784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.524056337 -0.394405791 +3785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.740174058 -0.394405791 +3788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.170676348 -0.394405791 +3786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.274072013 -0.394405791 +3787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.713094462 -0.394405791 +3789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.755143652 -0.394405791 +3790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.19947366 -0.394405791 +3791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.73940535 -0.394405791 +3792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.111851189 -0.394405791 +3793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.380188283 -0.394405791 +3796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.060636102 -0.394405791 +3794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.266916996 -0.394405791 +3797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.499517131 -0.394405791 +3798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.49259456 -0.394405791 +3795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.007125431 -0.394405791 +3799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.620022363 -0.394405791 +3800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.847138898 -0.394405791 +3801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.731212387 -0.394405791 +3806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.238904551 -0.394405791 +3802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.425091828 -0.394405791 +3805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.210964365 -0.394405791 +3804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.509555269 -0.394405791 +3803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.696669085 -0.394405791 +3808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.44551616 -0.394405791 +3807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.832815609 -0.394405791 +3809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.636848274 -0.394405791 +3812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.083836458 -0.394405791 +3813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.303607954 -0.394405791 +3814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.46236261 -0.394405791 +3811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.657444016 -0.394405791 +3810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.109830087 -0.394405791 +3815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.775939423 -0.394405791 +3817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.191279178 -0.394405791 +3816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.432398305 -0.394405791 +3818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.594483007 -0.394405791 +3819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.418204761 -0.394405791 +3822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.850655919 -0.394405791 +3820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.726420229 -0.394405791 +3821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.319014524 -0.394405791 +3823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.404457838 -0.394405791 +3826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.372223059 -0.394405791 +3827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.203902963 -0.394405791 +3828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.565579786 -0.394405791 +3829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.579002726 -0.394405791 +3824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.559606616 -0.394405791 +3825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.068345061 -0.394405791 +3830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.35394543 -0.394405791 +3831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.76246425 -0.394405791 +3832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.375773301 -0.394405791 +3834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.614051563 -0.394405791 +3833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.303769949 -0.394405791 +3836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.619266606 -0.394405791 +3835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.393299595 -0.394405791 +3838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.341534221 -0.394405791 +3837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.273116099 -0.394405791 +3839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.192668964 -0.394405791 +3840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.586448775 -0.394405791 +3841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.338902416 -0.394405791 +3843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.135739529 -0.394405791 +3842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.50484937 -0.394405791 +3844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.735911363 -0.394405791 +3845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.523983941 -0.394405791 +3846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.110256837 -0.394405791 +3847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.268191116 -0.394405791 +3848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.022674091 -0.394405791 +3849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.612917195 -0.394405791 +3850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.360406436 -0.394405791 +3851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.399929513 -0.394405791 +3852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.251024916 -0.394405791 +3853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.158104717 -0.394405791 +3855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.078466952 -0.394405791 +3854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.381291722 -0.394405791 +3857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.126447775 -0.394405791 +3856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.022156747 -0.394405791 +3858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.10342589 -0.394405791 +3859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.037056972 -0.394405791 +3860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.484082887 -0.394405791 +3861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.541422276 -0.394405791 +3862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.767264711 -0.394405791 +3863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.771782069 -0.394405791 +3864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.040939125 -0.394405791 +3865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.369020312 -0.394405791 +3866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.185826522 -0.394405791 +3867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.557963404 -0.394405791 +3868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.485010196 -0.394405791 +3869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.450451727 -0.394405791 +3870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.530676334 -0.394405791 +3871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.374243296 -0.394405791 +3874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.51885287 -0.394405791 +3873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.593341992 -0.394405791 +3875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.491414091 -0.394405791 +3872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.191472464 -0.394405791 +3877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.486864097 -0.394405791 +3878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.011702341 -0.394405791 +3876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.571810091 -0.394405791 +3879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.005978766 -0.394405791 +3880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.43331644 -0.394405791 +3881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.117506305 -0.394405791 +3883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.566020279 -0.394405791 +3882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.54452433 -0.394405791 +3884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.13596519 -0.394405791 +3885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.335924001 -0.394405791 +3886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.602815718 -0.394405791 +3888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.702362647 -0.394405791 +3889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.550198111 -0.394405791 +3891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.44818581 -0.394405791 +3890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.419712834 -0.394405791 +3887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.706755082 -0.394405791 +3892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.337222061 -0.394405791 +3893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.464447327 -0.394405791 +3894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.239710229 -0.394405791 +3895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.401722322 -0.394405791 +3896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.670351186 -0.394405791 +3898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.541731736 -0.394405791 +3897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.622058091 -0.394405791 +3900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.68535714 -0.394405791 +3899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.145120893 -0.394405791 +3902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.010558025 -0.394405791 +3901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.761791163 -0.394405791 +3904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.280288749 -0.394405791 +3905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.797672197 -0.394405791 +3907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.196655937 -0.394405791 +3906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.037110876 -0.394405791 +3903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.355207316 -0.394405791 +3909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.400438012 -0.394405791 +3910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.568157441 -0.394405791 +3908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.149235496 -0.394405791 +3911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.190010689 -0.394405791 +3913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.622123794 -0.394405791 +3912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.03774953 -0.394405791 +3914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.693596218 -0.394405791 +3915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.577510762 -0.394405791 +3917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.058276044 -0.394405791 +3916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.721788746 -0.394405791 +3918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.716177383 -0.394405791 +3921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.040162717 -0.394405791 +3919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.171029703 -0.394405791 +3920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.729811886 -0.394405791 +3922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.13282607 -0.394405791 +3924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.012717519 -0.394405791 +3923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.44669132 -0.394405791 +3925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.325230268 -0.394405791 +3929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.12425311 -0.394405791 +3927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.296330097 -0.394405791 +3928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.109055922 -0.394405791 +3930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.23666057 -0.394405791 +3931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.303935989 -0.394405791 +3932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.624285741 -0.394405791 +3926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.673872063 -0.394405791 +3933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.424776146 -0.394405791 +3935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.266937263 -0.394405791 +3936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.350412734 -0.394405791 +3934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.164372383 -0.394405791 +3937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.67049732 -0.394405791 +3938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.654521255 -0.394405791 +3939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.405955594 -0.394405791 +3941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.363875641 -0.394405791 +3940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.143485841 -0.394405791 +3944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.087670502 -0.394405791 +3943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.216572609 -0.394405791 +3942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.641243053 -0.394405791 +3945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.721804452 -0.394405791 +3946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.713488271 -0.394405791 +3947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.164005107 -0.394405791 +3948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.411921901 -0.394405791 +3949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.335276623 -0.394405791 +3950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 0.005932544 -0.394405791 +3953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.490000294 -0.394405791 +3952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.09239846 -0.394405791 +3951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.515345887 -0.394405791 +3954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.450729441 -0.394405791 +3955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.309468873 -0.394405791 +3956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.774419072 -0.394405791 +3957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.582222057 -0.394405791 +3958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.26238966 -0.394405791 +3959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.727464523 -0.394405791 +3961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.488635448 -0.394405791 +3960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.510168224 -0.394405791 +3962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.441759636 -0.394405791 +3964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.22082814 -0.394405791 +3963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.191217888 -0.394405791 +3966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.16283896 -0.394405791 +3965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.259359026 -0.394405791 +3967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.386779468 -0.394405791 +3969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.431646596 -0.394405791 +3968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.635844742 -0.394405791 +3970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.223695725 -0.394405791 +3971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.325439761 -0.394405791 +3972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.050104884 -0.394405791 +3973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.654275397 -0.394405791 +3975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.423713728 -0.394405791 +3976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.728663983 -0.394405791 +3978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.522635824 -0.394405791 +3977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.491319606 -0.394405791 +3979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.268166233 -0.394405791 +3980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.151335133 -0.394405791 +3974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.121619239 -0.394405791 +3982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.588795739 -0.394405791 +3984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.183479844 -0.394405791 +3985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.588908575 -0.394405791 +3981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.454997813 -0.394405791 +3983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.432668733 -0.394405791 +3986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.286570029 -0.394405791 +3987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.382999783 -0.394405791 +3988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.644836844 -0.394405791 +3990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.413325764 -0.394405791 +3991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.709650282 -0.394405791 +3993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.465616233 -0.394405791 +3989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.111362388 -0.394405791 +3992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.826034115 -0.394405791 +3995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.336290955 -0.394405791 +3994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.57408518 -0.394405791 +3996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.329492704 -0.394405791 +4000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.748970563 -0.394405791 +3997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.451386484 -0.394405791 +3998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.573953086 -0.394405791 +3999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.85 10 1 -0.795457776 -0.394405791 +4001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.569183617 -0.381293787 +4002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.779322605 -0.381293787 +4003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.102353538 -0.381293787 +4004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.70221336 -0.381293787 +4005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.44485644 -0.381293787 +4008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.833232373 -0.381293787 +4006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.578026483 -0.381293787 +4007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.013373968 -0.381293787 +4010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.212805336 -0.381293787 +4009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.037085562 -0.381293787 +4011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.475411032 -0.381293787 +4013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.579367534 -0.381293787 +4015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.543978849 -0.381293787 +4014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.603212029 -0.381293787 +4016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.179007779 -0.381293787 +4012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.387516289 -0.381293787 +4019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.220472458 -0.381293787 +4017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.082493633 -0.381293787 +4018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.483913522 -0.381293787 +4020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.561410241 -0.381293787 +4021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.559960963 -0.381293787 +4022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.337182022 -0.381293787 +4023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.026722942 -0.381293787 +4024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.366081117 -0.381293787 +4025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.209636841 -0.381293787 +4026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.502078995 -0.381293787 +4027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.209002064 -0.381293787 +4029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.379466564 -0.381293787 +4028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.778257425 -0.381293787 +4030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.191424813 -0.381293787 +4031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.335307776 -0.381293787 +4032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.059145317 -0.381293787 +4034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 8.40E-04 -0.381293787 +4033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.747061998 -0.381293787 +4037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.601180779 -0.381293787 +4035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.522823615 -0.381293787 +4036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.388797518 -0.381293787 +4038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.311410119 -0.381293787 +4039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.050227642 -0.381293787 +4041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.201871392 -0.381293787 +4042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.30943855 -0.381293787 +4040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.044578354 -0.381293787 +4043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.264513765 -0.381293787 +4044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.728384164 -0.381293787 +4045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.106796659 -0.381293787 +4046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.605762479 -0.381293787 +4047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.364798022 -0.381293787 +4049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.126135805 -0.381293787 +4051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.205188531 -0.381293787 +4052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.300805375 -0.381293787 +4050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.051016216 -0.381293787 +4053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.714455659 -0.381293787 +4054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.513509081 -0.381293787 +4055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.109847248 -0.381293787 +4048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.72090368 -0.381293787 +4056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.663563107 -0.381293787 +4058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.564207564 -0.381293787 +4057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.185450217 -0.381293787 +4061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.307421815 -0.381293787 +4059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.29427738 -0.381293787 +4062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.625637289 -0.381293787 +4063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.610440404 -0.381293787 +4060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -5.55E-04 -0.381293787 +4064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.4973539 -0.381293787 +4065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.046976933 -0.381293787 +4067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.010786093 -0.381293787 +4068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.178892721 -0.381293787 +4066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.114098196 -0.381293787 +4069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.653568578 -0.381293787 +4070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.019154454 -0.381293787 +4072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.33790469 -0.381293787 +4071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.230158155 -0.381293787 +4073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.718627866 -0.381293787 +4075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.139482599 -0.381293787 +4074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.690584293 -0.381293787 +4076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.352839625 -0.381293787 +4077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.364171982 -0.381293787 +4078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.597022989 -0.381293787 +4079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.67108265 -0.381293787 +4081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.240138556 -0.381293787 +4082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.767491355 -0.381293787 +4084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.23525771 -0.381293787 +4083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.706606977 -0.381293787 +4085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.39460402 -0.381293787 +4086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.794073282 -0.381293787 +4080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.145243633 -0.381293787 +4087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.37436779 -0.381293787 +4088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.550106731 -0.381293787 +4089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.10607147 -0.381293787 +4090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.714953167 -0.381293787 +4091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.079042444 -0.381293787 +4092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.618226352 -0.381293787 +4093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.637204988 -0.381293787 +4094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.649473192 -0.381293787 +4095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.47191847 -0.381293787 +4096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.442693481 -0.381293787 +4097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.171737406 -0.381293787 +4098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.776868781 -0.381293787 +4099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.823625281 -0.381293787 +4100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.226576658 -0.381293787 +4101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.087168903 -0.381293787 +4103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.406577916 -0.381293787 +4102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.552211016 -0.381293787 +4104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.701061245 -0.381293787 +4106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.677565292 -0.381293787 +4105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.611949671 -0.381293787 +4107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.489720444 -0.381293787 +4108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.624673368 -0.381293787 +4109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.052663337 -0.381293787 +4112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.338203688 -0.381293787 +4110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.36851383 -0.381293787 +4111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.695775253 -0.381293787 +4114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.530158625 -0.381293787 +4113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.56994768 -0.381293787 +4115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.018644543 -0.381293787 +4116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.492204686 -0.381293787 +4117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.34959026 -0.381293787 +4119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.103189211 -0.381293787 +4118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.631119874 -0.381293787 +4121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.769503198 -0.381293787 +4123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.004919737 -0.381293787 +4122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.71893682 -0.381293787 +4120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.674299487 -0.381293787 +4124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.350101248 -0.381293787 +4125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.083016987 -0.381293787 +4126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.614438544 -0.381293787 +4127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.549882664 -0.381293787 +4128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.030268342 -0.381293787 +4130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.09067694 -0.381293787 +4129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.321889406 -0.381293787 +4131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.614208521 -0.381293787 +4132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.521578336 -0.381293787 +4133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.590688265 -0.381293787 +4135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.482230647 -0.381293787 +4134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.441494845 -0.381293787 +4136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.846084066 -0.381293787 +4137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.078746825 -0.381293787 +4138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.461133793 -0.381293787 +4140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.744551951 -0.381293787 +4141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.191810665 -0.381293787 +4143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.082009311 -0.381293787 +4142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.296680255 -0.381293787 +4144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.676803359 -0.381293787 +4139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.072836977 -0.381293787 +4145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.381670915 -0.381293787 +4146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.275781836 -0.381293787 +4147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.359156191 -0.381293787 +4148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.142947606 -0.381293787 +4149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.652051548 -0.381293787 +4150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.039070555 -0.381293787 +4153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.68293378 -0.381293787 +4151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.243211931 -0.381293787 +4154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.688262241 -0.381293787 +4155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.701496499 -0.381293787 +4152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.811013437 -0.381293787 +4156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.076980445 -0.381293787 +4157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.768265885 -0.381293787 +4158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.223138134 -0.381293787 +4160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.266010867 -0.381293787 +4159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.54801361 -0.381293787 +4161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.438687127 -0.381293787 +4162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.732992824 -0.381293787 +4164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.266268605 -0.381293787 +4165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.304494883 -0.381293787 +4166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.690728222 -0.381293787 +4167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.715582829 -0.381293787 +4168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.358650378 -0.381293787 +4169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.635874231 -0.381293787 +4163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.152837947 -0.381293787 +4170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.504800524 -0.381293787 +4172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.545758197 -0.381293787 +4171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.679741932 -0.381293787 +4173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.04929707 -0.381293787 +4175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.417107637 -0.381293787 +4174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.469622639 -0.381293787 +4176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.3498654 -0.381293787 +4177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.822444975 -0.381293787 +4178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.281623158 -0.381293787 +4180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.336093484 -0.381293787 +4179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.812672749 -0.381293787 +4181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.581392391 -0.381293787 +4183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.027825848 -0.381293787 +4182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.831891726 -0.381293787 +4184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.007136363 -0.381293787 +4186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.016683435 -0.381293787 +4188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.599375917 -0.381293787 +4187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.401352783 -0.381293787 +4189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.009369137 -0.381293787 +4185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.539235106 -0.381293787 +4191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.723379451 -0.381293787 +4190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.54612077 -0.381293787 +4192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.776707667 -0.381293787 +4193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.551914534 -0.381293787 +4194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.412222816 -0.381293787 +4195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.097877946 -0.381293787 +4196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.251219148 -0.381293787 +4197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.263238593 -0.381293787 +4198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.492550186 -0.381293787 +4199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.620150686 -0.381293787 +4200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.231389765 -0.381293787 +4201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.388421713 -0.381293787 +4202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.029148695 -0.381293787 +4203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.831716067 -0.381293787 +4204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.606608389 -0.381293787 +4206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.057325982 -0.381293787 +4209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.564223836 -0.381293787 +4208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.488298243 -0.381293787 +4207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.238188423 -0.381293787 +4210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.399331881 -0.381293787 +4205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.718312847 -0.381293787 +4211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.285147731 -0.381293787 +4212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.063482383 -0.381293787 +4213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.720437025 -0.381293787 +4215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.091334612 -0.381293787 +4214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.510613112 -0.381293787 +4216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.589149444 -0.381293787 +4217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.654128236 -0.381293787 +4219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.618121244 -0.381293787 +4220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.537063676 -0.381293787 +4221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.139766594 -0.381293787 +4218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.126777219 -0.381293787 +4222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.280903638 -0.381293787 +4223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.329318547 -0.381293787 +4224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.097357552 -0.381293787 +4225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.432920781 -0.381293787 +4226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.298234576 -0.381293787 +4227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.622132307 -0.381293787 +4228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.483701272 -0.381293787 +4230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.103813928 -0.381293787 +4232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.294045251 -0.381293787 +4229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.010850021 -0.381293787 +4231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.654385806 -0.381293787 +4234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.137862896 -0.381293787 +4233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.429298855 -0.381293787 +4235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.105811542 -0.381293787 +4236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.061172749 -0.381293787 +4238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.654480174 -0.381293787 +4240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.237184883 -0.381293787 +4237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.517471778 -0.381293787 +4239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.553827277 -0.381293787 +4241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.053089661 -0.381293787 +4242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.042484712 -0.381293787 +4243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -5.44E-04 -0.381293787 +4244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.270405104 -0.381293787 +4246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.483119899 -0.381293787 +4247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.666980233 -0.381293787 +4245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.536053466 -0.381293787 +4249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.018231462 -0.381293787 +4250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.572277219 -0.381293787 +4248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.685230192 -0.381293787 +4252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.249119602 -0.381293787 +4251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.389976233 -0.381293787 +4254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.464454135 -0.381293787 +4253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.609648682 -0.381293787 +4255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.382600531 -0.381293787 +4256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.205474283 -0.381293787 +4257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.649411855 -0.381293787 +4258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.425631821 -0.381293787 +4259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.202985939 -0.381293787 +4261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.611870894 -0.381293787 +4260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.290985913 -0.381293787 +4263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.566208739 -0.381293787 +4264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.278183743 -0.381293787 +4262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.264352019 -0.381293787 +4265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.199738823 -0.381293787 +4266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.309455244 -0.381293787 +4267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.844435058 -0.381293787 +4268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.460491639 -0.381293787 +4269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.50668814 -0.381293787 +4270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.839402427 -0.381293787 +4271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.647222833 -0.381293787 +4272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.398663782 -0.381293787 +4273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.459695379 -0.381293787 +4274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.260741551 -0.381293787 +4275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.521576114 -0.381293787 +4276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.067814104 -0.381293787 +4278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.292293152 -0.381293787 +4277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.476284191 -0.381293787 +4279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.003448555 -0.381293787 +4280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.290198138 -0.381293787 +4281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.303020991 -0.381293787 +4283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.297719079 -0.381293787 +4282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.014178532 -0.381293787 +4284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.529081397 -0.381293787 +4285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.075040601 -0.381293787 +4286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.004932751 -0.381293787 +4288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.065324615 -0.381293787 +4287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.805470998 -0.381293787 +4289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.583648806 -0.381293787 +4290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.659009619 -0.381293787 +4291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.246868979 -0.381293787 +4293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.057688391 -0.381293787 +4292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.688473193 -0.381293787 +4294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.575043802 -0.381293787 +4296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.506732389 -0.381293787 +4295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.602055609 -0.381293787 +4297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.68823346 -0.381293787 +4299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.555298162 -0.381293787 +4298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.160558339 -0.381293787 +4300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.057005462 -0.381293787 +4301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.179786577 -0.381293787 +4302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.425550012 -0.381293787 +4303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.244302144 -0.381293787 +4304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.159114081 -0.381293787 +4305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.228353744 -0.381293787 +4307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.533888912 -0.381293787 +4308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.021377236 -0.381293787 +4309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.504221311 -0.381293787 +4310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.573022594 -0.381293787 +4311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.216559666 -0.381293787 +4312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.178364691 -0.381293787 +4306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.538954269 -0.381293787 +4313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.357527706 -0.381293787 +4314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.725953421 -0.381293787 +4315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.296221137 -0.381293787 +4316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.079677957 -0.381293787 +4317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.788025326 -0.381293787 +4318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.37593297 -0.381293787 +4319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.377663646 -0.381293787 +4320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.204628334 -0.381293787 +4321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.78899434 -0.381293787 +4322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.163294667 -0.381293787 +4323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.00430969 -0.381293787 +4325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.674381262 -0.381293787 +4324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.452628804 -0.381293787 +4327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.334852583 -0.381293787 +4326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.634710694 -0.381293787 +4329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.54539259 -0.381293787 +4328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.563860206 -0.381293787 +4330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.380474851 -0.381293787 +4331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.402481372 -0.381293787 +4332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.168146821 -0.381293787 +4333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.438612742 -0.381293787 +4334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.573892672 -0.381293787 +4335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.196369084 -0.381293787 +4336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.069580682 -0.381293787 +4337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.669117458 -0.381293787 +4338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.240736659 -0.381293787 +4340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.746392429 -0.381293787 +4339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.494530217 -0.381293787 +4341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.294295988 -0.381293787 +4342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.146969106 -0.381293787 +4343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.766265517 -0.381293787 +4344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.135822229 -0.381293787 +4346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.639974111 -0.381293787 +4345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.509077949 -0.381293787 +4347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.28771941 -0.381293787 +4348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.233869494 -0.381293787 +4349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.405091385 -0.381293787 +4350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.617347392 -0.381293787 +4351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.130846772 -0.381293787 +4352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.707533742 -0.381293787 +4353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.16829492 -0.381293787 +4355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.141477497 -0.381293787 +4356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.237255089 -0.381293787 +4358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.348473618 -0.381293787 +4357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.193827905 -0.381293787 +4359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.577536045 -0.381293787 +4354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.267198083 -0.381293787 +4360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.051063086 -0.381293787 +4361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.513913601 -0.381293787 +4362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.517034644 -0.381293787 +4364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.16811605 -0.381293787 +4363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.102468893 -0.381293787 +4365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.405690545 -0.381293787 +4366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.758429723 -0.381293787 +4367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.483227819 -0.381293787 +4368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.246740813 -0.381293787 +4369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.423932427 -0.381293787 +4370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.078706174 -0.381293787 +4371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.263996776 -0.381293787 +4372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.581528668 -0.381293787 +4373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.795671054 -0.381293787 +4374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.68188779 -0.381293787 +4375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.316362024 -0.381293787 +4377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.616061248 -0.381293787 +4376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.206197045 -0.381293787 +4379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.644342898 -0.381293787 +4378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.354838234 -0.381293787 +4380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.023359134 -0.381293787 +4381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.602091408 -0.381293787 +4382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.383773394 -0.381293787 +4383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.590212064 -0.381293787 +4384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.012849098 -0.381293787 +4385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.551475285 -0.381293787 +4387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.753755904 -0.381293787 +4386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.733391291 -0.381293787 +4388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.209665207 -0.381293787 +4389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.684200222 -0.381293787 +4390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.2963454 -0.381293787 +4393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.100183757 -0.381293787 +4392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.609531789 -0.381293787 +4394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.396898854 -0.381293787 +4395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.708475019 -0.381293787 +4391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.568560634 -0.381293787 +4396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.128752075 -0.381293787 +4398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.007508253 -0.381293787 +4397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.435195458 -0.381293787 +4399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.103858725 -0.381293787 +4400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.040186969 -0.381293787 +4401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.039955815 -0.381293787 +4402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.751748848 -0.381293787 +4403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.687270049 -0.381293787 +4404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.400336707 -0.381293787 +4405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.48652155 -0.381293787 +4406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.138515989 -0.381293787 +4407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.188262358 -0.381293787 +4408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.580486406 -0.381293787 +4409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.104470837 -0.381293787 +4410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.171628817 -0.381293787 +4413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.694916249 -0.381293787 +4412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.847359907 -0.381293787 +4414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.529467309 -0.381293787 +4416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.714965602 -0.381293787 +4418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.076829337 -0.381293787 +4415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.333283997 -0.381293787 +4417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.372539851 -0.381293787 +4411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.263412275 -0.381293787 +4420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.634264694 -0.381293787 +4421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.072834338 -0.381293787 +4419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.173394219 -0.381293787 +4422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.116781062 -0.381293787 +4423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.275671326 -0.381293787 +4424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.392624486 -0.381293787 +4425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.324606112 -0.381293787 +4426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.524613981 -0.381293787 +4427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.902121119 -0.381293787 +4428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.10890983 -0.381293787 +4429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.813251249 -0.381293787 +4431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.391145787 -0.381293787 +4430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.461273686 -0.381293787 +4433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.356960611 -0.381293787 +4432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.830019874 -0.381293787 +4435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.068567531 -0.381293787 +4434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.794835581 -0.381293787 +4436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.208211536 -0.381293787 +4437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.295138296 -0.381293787 +4439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.285094118 -0.381293787 +4438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.356213866 -0.381293787 +4441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.336118393 -0.381293787 +4440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.719669169 -0.381293787 +4442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.308963637 -0.381293787 +4444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.050842701 -0.381293787 +4445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.424518729 -0.381293787 +4443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.476274258 -0.381293787 +4446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.501278561 -0.381293787 +4448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.266848427 -0.381293787 +4447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.566382005 -0.381293787 +4449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.709501613 -0.381293787 +4451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.406267415 -0.381293787 +4450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.461109515 -0.381293787 +4452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.065707072 -0.381293787 +4454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.557178114 -0.381293787 +4455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.090334876 -0.381293787 +4453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.03446947 -0.381293787 +4456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.12541204 -0.381293787 +4457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.426424798 -0.381293787 +4458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.484632288 -0.381293787 +4460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.43054752 -0.381293787 +4459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.336041752 -0.381293787 +4461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.124307577 -0.381293787 +4462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.47055965 -0.381293787 +4463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.071134146 -0.381293787 +4465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.429637468 -0.381293787 +4464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.514767788 -0.381293787 +4467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.659850731 -0.381293787 +4468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.69885763 -0.381293787 +4466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.029127342 -0.381293787 +4469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.163151984 -0.381293787 +4470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.232739344 -0.381293787 +4473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.233248688 -0.381293787 +4475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.706922429 -0.381293787 +4472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.696953898 -0.381293787 +4474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.360287079 -0.381293787 +4476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.383395798 -0.381293787 +4477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.522533644 -0.381293787 +4478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.610312644 -0.381293787 +4471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.374747632 -0.381293787 +4479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.243525555 -0.381293787 +4480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.826979342 -0.381293787 +4481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.619005222 -0.381293787 +4482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.263389876 -0.381293787 +4484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.062391971 -0.381293787 +4485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.226332999 -0.381293787 +4483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.025189809 -0.381293787 +4486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.156803463 -0.381293787 +4487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.674845898 -0.381293787 +4489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.430290896 -0.381293787 +4491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.04190221 -0.381293787 +4492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.142520149 -0.381293787 +4490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.112325341 -0.381293787 +4493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.303383009 -0.381293787 +4488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.55999301 -0.381293787 +4495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.346424633 -0.381293787 +4494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.73681049 -0.381293787 +4497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.00236353 -0.381293787 +4499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.383175085 -0.381293787 +4498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.018646973 -0.381293787 +4496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.619037969 -0.381293787 +4500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.495009837 -0.381293787 +4501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.631064045 -0.381293787 +4502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.518208729 -0.381293787 +4503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.377839806 -0.381293787 +4504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.401497169 -0.381293787 +4505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.231193016 -0.381293787 +4507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.311578972 -0.381293787 +4506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.030974314 -0.381293787 +4508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.480072192 -0.381293787 +4510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.228022946 -0.381293787 +4509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.287739972 -0.381293787 +4511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.022544067 -0.381293787 +4512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.048226387 -0.381293787 +4513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.273798567 -0.381293787 +4515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.113625318 -0.381293787 +4514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.445920565 -0.381293787 +4517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.753977521 -0.381293787 +4516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.599034534 -0.381293787 +4518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.281335402 -0.381293787 +4521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.364602084 -0.381293787 +4522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.196911094 -0.381293787 +4519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.027759496 -0.381293787 +4523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.583476784 -0.381293787 +4526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.556154036 -0.381293787 +4524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.423321453 -0.381293787 +4525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.679559929 -0.381293787 +4520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.758125213 -0.381293787 +4528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.046595794 -0.381293787 +4530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.482710052 -0.381293787 +4531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.170478471 -0.381293787 +4527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.21837324 -0.381293787 +4534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.770553816 -0.381293787 +4529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.179418482 -0.381293787 +4532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.779829745 -0.381293787 +4533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.171063896 -0.381293787 +4535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.290121812 -0.381293787 +4536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.313732377 -0.381293787 +4537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.134694444 -0.381293787 +4538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.572060001 -0.381293787 +4539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.327693226 -0.381293787 +4541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.575374228 -0.381293787 +4542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.047307756 -0.381293787 +4543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.140012929 -0.381293787 +4544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.198684097 -0.381293787 +4546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.674096278 -0.381293787 +4545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.197532407 -0.381293787 +4540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.071857405 -0.381293787 +4547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.020557247 -0.381293787 +4548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.309591561 -0.381293787 +4549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.239221808 -0.381293787 +4550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.282085052 -0.381293787 +4551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.461565891 -0.381293787 +4552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.180050973 -0.381293787 +4553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.385091022 -0.381293787 +4554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.474913719 -0.381293787 +4555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.50342918 -0.381293787 +4556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.091027495 -0.381293787 +4559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.725369568 -0.381293787 +4558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.510935883 -0.381293787 +4560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.066535393 -0.381293787 +4557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.125972734 -0.381293787 +4561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.051629059 -0.381293787 +4564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.279397873 -0.381293787 +4562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.00521817 -0.381293787 +4563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.713505525 -0.381293787 +4566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.037060286 -0.381293787 +4565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.410507474 -0.381293787 +4568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.194961669 -0.381293787 +4569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.322796716 -0.381293787 +4567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.491390271 -0.381293787 +4570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.145215677 -0.381293787 +4571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.219274334 -0.381293787 +4573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.733284789 -0.381293787 +4574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.030140652 -0.381293787 +4572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.354818897 -0.381293787 +4576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.449500009 -0.381293787 +4575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.504319359 -0.381293787 +4577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.560719654 -0.381293787 +4578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.664951731 -0.381293787 +4580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.556586636 -0.381293787 +4581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.805225957 -0.381293787 +4582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.353955328 -0.381293787 +4584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.020655132 -0.381293787 +4585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.735849171 -0.381293787 +4579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.625498281 -0.381293787 +4583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.057212179 -0.381293787 +4586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.123039745 -0.381293787 +4588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.606348409 -0.381293787 +4587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.589506881 -0.381293787 +4590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.211375864 -0.381293787 +4591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.687487043 -0.381293787 +4589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.688807835 -0.381293787 +4593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.272416463 -0.381293787 +4592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.638866351 -0.381293787 +4594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.336771824 -0.381293787 +4596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.594216451 -0.381293787 +4595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.477865569 -0.381293787 +4598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.031308926 -0.381293787 +4597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.014584178 -0.381293787 +4599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.010920754 -0.381293787 +4601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.301482982 -0.381293787 +4600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.499850468 -0.381293787 +4604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.156378153 -0.381293787 +4603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.402324264 -0.381293787 +4605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.451479611 -0.381293787 +4606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.671609642 -0.381293787 +4602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.550740558 -0.381293787 +4608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.734673869 -0.381293787 +4607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.022047656 -0.381293787 +4609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.174081707 -0.381293787 +4610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.013213738 -0.381293787 +4611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.099715673 -0.381293787 +4612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.434116701 -0.381293787 +4615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.217792432 -0.381293787 +4614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.15448734 -0.381293787 +4616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.399954768 -0.381293787 +4613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.039078753 -0.381293787 +4617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.572254832 -0.381293787 +4619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.013952806 -0.381293787 +4620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.813516969 -0.381293787 +4618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.041159014 -0.381293787 +4624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.558331531 -0.381293787 +4621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.024887473 -0.381293787 +4623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.710211381 -0.381293787 +4625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.157576395 -0.381293787 +4626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.200306725 -0.381293787 +4622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.439674221 -0.381293787 +4627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.442480757 -0.381293787 +4628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.155876813 -0.381293787 +4630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.135738109 -0.381293787 +4632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.688911084 -0.381293787 +4629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.046909585 -0.381293787 +4633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.109504012 -0.381293787 +4635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.330563886 -0.381293787 +4631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.200418404 -0.381293787 +4634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.580114393 -0.381293787 +4636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.477285608 -0.381293787 +4637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.660998092 -0.381293787 +4639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.565157917 -0.381293787 +4640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.594494803 -0.381293787 +4638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.281238308 -0.381293787 +4641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.621751773 -0.381293787 +4642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.532417812 -0.381293787 +4644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.073636399 -0.381293787 +4645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.727274429 -0.381293787 +4646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.224525608 -0.381293787 +4647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.041216169 -0.381293787 +4648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.740568085 -0.381293787 +4649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.505728748 -0.381293787 +4652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.788945325 -0.381293787 +4651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.312134735 -0.381293787 +4650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.499296314 -0.381293787 +4643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.391455141 -0.381293787 +4654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.21870429 -0.381293787 +4656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.515030745 -0.381293787 +4653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.547698123 -0.381293787 +4655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.110202219 -0.381293787 +4657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.621362755 -0.381293787 +4658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.032783661 -0.381293787 +4659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.756362509 -0.381293787 +4660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.470256524 -0.381293787 +4661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.129819644 -0.381293787 +4662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.609692016 -0.381293787 +4663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.623995583 -0.381293787 +4664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.042260062 -0.381293787 +4666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.00502332 -0.381293787 +4668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.530460635 -0.381293787 +4667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.141354101 -0.381293787 +4670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.01373828 -0.381293787 +4665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.675198341 -0.381293787 +4671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.316337166 -0.381293787 +4669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.037618028 -0.381293787 +4672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.162201424 -0.381293787 +4674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.202025147 -0.381293787 +4673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.686017506 -0.381293787 +4677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.72293661 -0.381293787 +4676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.259179014 -0.381293787 +4675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.675830302 -0.381293787 +4680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.671492351 -0.381293787 +4679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.110074566 -0.381293787 +4681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.526461517 -0.381293787 +4682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.557749093 -0.381293787 +4684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.049799875 -0.381293787 +4678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.607335574 -0.381293787 +4685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.65253325 -0.381293787 +4686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.70091487 -0.381293787 +4687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.232457669 -0.381293787 +4683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.541972874 -0.381293787 +4688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.528281807 -0.381293787 +4691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.058958308 -0.381293787 +4689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.314783366 -0.381293787 +4690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.017860522 -0.381293787 +4695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.38521993 -0.381293787 +4696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.515224076 -0.381293787 +4692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.042760462 -0.381293787 +4693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.160169055 -0.381293787 +4694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.765892246 -0.381293787 +4698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.268111854 -0.381293787 +4699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.50979445 -0.381293787 +4697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.836338047 -0.381293787 +4700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.23521912 -0.381293787 +4701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.256246923 -0.381293787 +4702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.622373336 -0.381293787 +4703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.236780984 -0.381293787 +4706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.060833312 -0.381293787 +4707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.032025588 -0.381293787 +4705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.540181638 -0.381293787 +4708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.00193834 -0.381293787 +4709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.016366364 -0.381293787 +4710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.176641864 -0.381293787 +4711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.218382977 -0.381293787 +4704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.282579766 -0.381293787 +4712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.770012586 -0.381293787 +4714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.350010518 -0.381293787 +4716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.151480916 -0.381293787 +4715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.396776973 -0.381293787 +4717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.005666653 -0.381293787 +4713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.736329602 -0.381293787 +4718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.090866205 -0.381293787 +4719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.285970172 -0.381293787 +4720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.697263924 -0.381293787 +4721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.549908483 -0.381293787 +4722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.173411737 -0.381293787 +4724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.118837598 -0.381293787 +4726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.159184032 -0.381293787 +4725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.763837839 -0.381293787 +4723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.566293865 -0.381293787 +4728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.579961258 -0.381293787 +4729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.261332872 -0.381293787 +4730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.476845773 -0.381293787 +4731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.696923076 -0.381293787 +4732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.460339215 -0.381293787 +4733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.495151663 -0.381293787 +4727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.751508458 -0.381293787 +4734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.743532997 -0.381293787 +4735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.497636124 -0.381293787 +4736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.737453149 -0.381293787 +4737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.599884679 -0.381293787 +4739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.285220614 -0.381293787 +4738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.44969302 -0.381293787 +4740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.318111403 -0.381293787 +4742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.421831494 -0.381293787 +4741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.598679559 -0.381293787 +4743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.093676887 -0.381293787 +4745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.193920366 -0.381293787 +4746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.57075976 -0.381293787 +4744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.618099378 -0.381293787 +4748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.361453458 -0.381293787 +4749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.676347118 -0.381293787 +4747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.467746094 -0.381293787 +4750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.114254057 -0.381293787 +4751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.463858768 -0.381293787 +4752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.17742571 -0.381293787 +4753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.301512736 -0.381293787 +4754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.316460162 -0.381293787 +4756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.283189436 -0.381293787 +4757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.79621634 -0.381293787 +4755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.70446901 -0.381293787 +4759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.253566352 -0.381293787 +4760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.594967358 -0.381293787 +4762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.126094062 -0.381293787 +4761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.625183576 -0.381293787 +4758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.859103081 -0.381293787 +4765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.676261322 -0.381293787 +4764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.135497887 -0.381293787 +4763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.736685643 -0.381293787 +4767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.550876471 -0.381293787 +4766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.501973977 -0.381293787 +4769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.634360935 -0.381293787 +4768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.415016389 -0.381293787 +4770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.405775844 -0.381293787 +4772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.557457811 -0.381293787 +4771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.555613436 -0.381293787 +4773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.413449463 -0.381293787 +4775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.094867562 -0.381293787 +4774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.034156323 -0.381293787 +4776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.332290705 -0.381293787 +4777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.429085679 -0.381293787 +4779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.081918335 -0.381293787 +4780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.099643007 -0.381293787 +4783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.654564328 -0.381293787 +4781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.036284855 -0.381293787 +4784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.332948559 -0.381293787 +4782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.418539125 -0.381293787 +4787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.00283931 -0.381293787 +4786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.050390693 -0.381293787 +4788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.027558039 -0.381293787 +4785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.276247134 -0.381293787 +4789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.575557912 -0.381293787 +4778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.611959769 -0.381293787 +4790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.131632969 -0.381293787 +4791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.13923955 -0.381293787 +4793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.124821303 -0.381293787 +4795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.131500284 -0.381293787 +4796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.105891725 -0.381293787 +4794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.561723515 -0.381293787 +4797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.605108239 -0.381293787 +4799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.364440036 -0.381293787 +4792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.111701124 -0.381293787 +4798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.020420331 -0.381293787 +4800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.276031856 -0.381293787 +4802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.369805477 -0.381293787 +4801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.760938771 -0.381293787 +4803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.533773927 -0.381293787 +4806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.189080442 -0.381293787 +4807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.640757822 -0.381293787 +4804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.168570781 -0.381293787 +4805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.057375936 -0.381293787 +4808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.3075904 -0.381293787 +4811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.509524101 -0.381293787 +4810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.260802816 -0.381293787 +4812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.081915059 -0.381293787 +4809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.344906341 -0.381293787 +4815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.248138695 -0.381293787 +4814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.133937466 -0.381293787 +4816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.477241493 -0.381293787 +4817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.084115483 -0.381293787 +4818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.312539303 -0.381293787 +4819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.358208685 -0.381293787 +4820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.705587506 -0.381293787 +4813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.562353035 -0.381293787 +4821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.591509142 -0.381293787 +4823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.700602419 -0.381293787 +4824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.045598306 -0.381293787 +4826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.243412263 -0.381293787 +4828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.748628524 -0.381293787 +4827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.632034533 -0.381293787 +4825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.154730473 -0.381293787 +4829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.741257396 -0.381293787 +4830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.393426542 -0.381293787 +4831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.627751056 -0.381293787 +4832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.07027603 -0.381293787 +4833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.501372304 -0.381293787 +4834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.484124539 -0.381293787 +4836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.060704994 -0.381293787 +4835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.052069365 -0.381293787 +4822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.534601626 -0.381293787 +4837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.757870287 -0.381293787 +4838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.304916677 -0.381293787 +4839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.676518209 -0.381293787 +4841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.511599472 -0.381293787 +4845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.426588641 -0.381293787 +4844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.196104553 -0.381293787 +4840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.547719921 -0.381293787 +4846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.619106615 -0.381293787 +4842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.26147377 -0.381293787 +4847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.665846458 -0.381293787 +4843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.421753711 -0.381293787 +4848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.814330489 -0.381293787 +4849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.20037353 -0.381293787 +4854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.322473952 -0.381293787 +4852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.402930869 -0.381293787 +4853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.588604666 -0.381293787 +4855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.744513567 -0.381293787 +4851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.326158928 -0.381293787 +4850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.174548753 -0.381293787 +4856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.277554756 -0.381293787 +4858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.093077587 -0.381293787 +4859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.101962296 -0.381293787 +4862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.418047359 -0.381293787 +4857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.042256119 -0.381293787 +4860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.389744507 -0.381293787 +4864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.615964968 -0.381293787 +4863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.201290781 -0.381293787 +4861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.069621648 -0.381293787 +4865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.482626455 -0.381293787 +4866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.337116276 -0.381293787 +4867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.764313291 -0.381293787 +4868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.17364893 -0.381293787 +4869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.44504784 -0.381293787 +4870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.483131973 -0.381293787 +4872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.002667135 -0.381293787 +4874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.546630516 -0.381293787 +4873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.19927587 -0.381293787 +4875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.101628579 -0.381293787 +4876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.346258779 -0.381293787 +4877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.499784525 -0.381293787 +4871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.504453124 -0.381293787 +4878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.376012728 -0.381293787 +4879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.649326269 -0.381293787 +4880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.475556711 -0.381293787 +4881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.504811409 -0.381293787 +4883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.376409147 -0.381293787 +4882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.098854676 -0.381293787 +4884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.439240214 -0.381293787 +4887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.608736475 -0.381293787 +4888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.770204418 -0.381293787 +4885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.657623674 -0.381293787 +4886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.438736739 -0.381293787 +4890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.400493026 -0.381293787 +4889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.041170502 -0.381293787 +4891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.21841357 -0.381293787 +4892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.426389642 -0.381293787 +4893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.016998792 -0.381293787 +4894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.473379392 -0.381293787 +4896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.169606583 -0.381293787 +4895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.568632101 -0.381293787 +4897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.315899746 -0.381293787 +4899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -2.44E-04 -0.381293787 +4898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.248972652 -0.381293787 +4900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.115305438 -0.381293787 +4901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.839407696 -0.381293787 +4903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.450462792 -0.381293787 +4902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.642388064 -0.381293787 +4905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.384619488 -0.381293787 +4904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.223703688 -0.381293787 +4906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.204312539 -0.381293787 +4908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.373308498 -0.381293787 +4909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.277407311 -0.381293787 +4907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.831322686 -0.381293787 +4910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.379575697 -0.381293787 +4911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.35847305 -0.381293787 +4912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.096152162 -0.381293787 +4914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.821419428 -0.381293787 +4913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.12125028 -0.381293787 +4916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.260082895 -0.381293787 +4917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.651615439 -0.381293787 +4915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.062439074 -0.381293787 +4918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.790521848 -0.381293787 +4920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.586797456 -0.381293787 +4921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.731942422 -0.381293787 +4919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.532886741 -0.381293787 +4923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.313636104 -0.381293787 +4924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.813633383 -0.381293787 +4925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.176751519 -0.381293787 +4922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.047377505 -0.381293787 +4927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.65504296 -0.381293787 +4928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.329662789 -0.381293787 +4926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.575986107 -0.381293787 +4929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.382699498 -0.381293787 +4930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.538772537 -0.381293787 +4932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.753698423 -0.381293787 +4933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.628957993 -0.381293787 +4931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.296361868 -0.381293787 +4934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.773068937 -0.381293787 +4936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.25059251 -0.381293787 +4935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.205538186 -0.381293787 +4937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.257506791 -0.381293787 +4938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.293370029 -0.381293787 +4939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.391153323 -0.381293787 +4941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.5566639 -0.381293787 +4942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.419724918 -0.381293787 +4943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.636348061 -0.381293787 +4944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.775482853 -0.381293787 +4940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.037705281 -0.381293787 +4946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.473620379 -0.381293787 +4945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.674174765 -0.381293787 +4947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.16966654 -0.381293787 +4949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.279891629 -0.381293787 +4950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.132455343 -0.381293787 +4951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.235476845 -0.381293787 +4948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.401361664 -0.381293787 +4952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.037651297 -0.381293787 +4956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.651786219 -0.381293787 +4955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.074764348 -0.381293787 +4953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.652519945 -0.381293787 +4954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.318084427 -0.381293787 +4958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.687467368 -0.381293787 +4957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.146885464 -0.381293787 +4959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.254610611 -0.381293787 +4960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.498414332 -0.381293787 +4962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.063554569 -0.381293787 +4963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.704550946 -0.381293787 +4964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.56370364 -0.381293787 +4967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.029292193 -0.381293787 +4961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.612832289 -0.381293787 +4965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.499698138 -0.381293787 +4966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.693305974 -0.381293787 +4969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.077948279 -0.381293787 +4971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.115638856 -0.381293787 +4968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.463251282 -0.381293787 +4970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.661124659 -0.381293787 +4974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.789618619 -0.381293787 +4973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.009299122 -0.381293787 +4975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.477236988 -0.381293787 +4972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.007137102 -0.381293787 +4978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.776548875 -0.381293787 +4979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.355914356 -0.381293787 +4977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.042391833 -0.381293787 +4981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.193235528 -0.381293787 +4982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.65259426 -0.381293787 +4983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.520620837 -0.381293787 +4976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.325466977 -0.381293787 +4980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.765933296 -0.381293787 +4984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.136001203 -0.381293787 +4986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.51004354 -0.381293787 +4985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.758138323 -0.381293787 +4987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.583792448 -0.381293787 +4988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.186810644 -0.381293787 +4989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.376694156 -0.381293787 +4991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.172474921 -0.381293787 +4990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.484878465 -0.381293787 +4992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.138665275 -0.381293787 +4994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.027907376 -0.381293787 +4993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.744884477 -0.381293787 +4996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.004476913 -0.381293787 +4997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.459559069 -0.381293787 +4995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.054987626 -0.381293787 +4999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.581253019 -0.381293787 +5000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 -0.46668539 -0.381293787 +4998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.8 10 1 0.008329789 -0.381293787 +5001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.37242977 -0.378606779 +5002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.259490866 -0.378606779 +5003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.432371043 -0.378606779 +5005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.487127195 -0.378606779 +5004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.058974575 -0.378606779 +5006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.730167315 -0.378606779 +5008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.311555985 -0.378606779 +5009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.795237067 -0.378606779 +5007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.158951604 -0.378606779 +5010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.102115225 -0.378606779 +5011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.833564783 -0.378606779 +5013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.398053955 -0.378606779 +5012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.258660411 -0.378606779 +5014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.210899172 -0.378606779 +5017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.065122982 -0.378606779 +5015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.149207753 -0.378606779 +5018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.33679939 -0.378606779 +5016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.622874303 -0.378606779 +5019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.135463674 -0.378606779 +5020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.320316741 -0.378606779 +5021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.213389993 -0.378606779 +5023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.542448673 -0.378606779 +5024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.707629802 -0.378606779 +5022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.044524113 -0.378606779 +5025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.484190484 -0.378606779 +5026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.761751882 -0.378606779 +5029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.576343317 -0.378606779 +5028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.650380142 -0.378606779 +5027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.229457056 -0.378606779 +5030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.778747372 -0.378606779 +5031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.0582998 -0.378606779 +5032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.027136507 -0.378606779 +5033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.620749827 -0.378606779 +5036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.698708245 -0.378606779 +5034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.6935521 -0.378606779 +5037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.735293407 -0.378606779 +5035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.125316224 -0.378606779 +5038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.159089395 -0.378606779 +5041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.427802082 -0.378606779 +5039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.610886695 -0.378606779 +5042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.723641201 -0.378606779 +5043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.453760641 -0.378606779 +5045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.5182004 -0.378606779 +5040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.741293932 -0.378606779 +5044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.351108641 -0.378606779 +5046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.440603253 -0.378606779 +5047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.601130019 -0.378606779 +5048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.483579463 -0.378606779 +5049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.674461249 -0.378606779 +5050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.053259358 -0.378606779 +5051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.55911356 -0.378606779 +5052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.27542864 -0.378606779 +5053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.498031525 -0.378606779 +5054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.201956917 -0.378606779 +5055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.367725012 -0.378606779 +5056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.565400993 -0.378606779 +5058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.406103386 -0.378606779 +5057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.750265483 -0.378606779 +5059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.485893587 -0.378606779 +5060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.573981301 -0.378606779 +5061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.045829609 -0.378606779 +5062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.126083329 -0.378606779 +5063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.092045428 -0.378606779 +5066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.473655301 -0.378606779 +5064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.256284117 -0.378606779 +5065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.132777208 -0.378606779 +5067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.690610926 -0.378606779 +5069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.459983839 -0.378606779 +5068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.13734419 -0.378606779 +5070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.200280028 -0.378606779 +5072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.348317972 -0.378606779 +5073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.579174058 -0.378606779 +5071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.791006385 -0.378606779 +5074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.06806955 -0.378606779 +5075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.409246958 -0.378606779 +5076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.263545255 -0.378606779 +5077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.614850675 -0.378606779 +5078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.016017211 -0.378606779 +5079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.444812504 -0.378606779 +5080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.725024511 -0.378606779 +5082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.504040829 -0.378606779 +5081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.2921675 -0.378606779 +5083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.132136592 -0.378606779 +5084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.426865512 -0.378606779 +5087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.045010795 -0.378606779 +5086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.242814813 -0.378606779 +5085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.016454771 -0.378606779 +5089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.315207218 -0.378606779 +5088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.029499474 -0.378606779 +5090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.651054357 -0.378606779 +5091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.523025671 -0.378606779 +5092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.200750631 -0.378606779 +5093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.268377432 -0.378606779 +5094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.209199099 -0.378606779 +5095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.192282455 -0.378606779 +5096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.33365737 -0.378606779 +5097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.437663524 -0.378606779 +5098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.297654528 -0.378606779 +5099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.621973084 -0.378606779 +5100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.048606608 -0.378606779 +5101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.192793918 -0.378606779 +5102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.249753441 -0.378606779 +5104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.033748452 -0.378606779 +5103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.202574562 -0.378606779 +5106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.75787935 -0.378606779 +5105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.51148334 -0.378606779 +5107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.172431438 -0.378606779 +5108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.155627697 -0.378606779 +5109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.041253463 -0.378606779 +5110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.172234622 -0.378606779 +5111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.59283307 -0.378606779 +5113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.590893359 -0.378606779 +5114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.521127444 -0.378606779 +5112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.725480826 -0.378606779 +5115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.250274162 -0.378606779 +5116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.411809134 -0.378606779 +5117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.335520414 -0.378606779 +5118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.470059384 -0.378606779 +5119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.341136681 -0.378606779 +5120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.265214525 -0.378606779 +5121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.229465261 -0.378606779 +5123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.672478249 -0.378606779 +5124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.605176827 -0.378606779 +5122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.003586542 -0.378606779 +5125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.32860436 -0.378606779 +5126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.693371917 -0.378606779 +5127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.478117867 -0.378606779 +5128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.324704231 -0.378606779 +5130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.195542843 -0.378606779 +5129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.569388484 -0.378606779 +5131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.860507238 -0.378606779 +5132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.770905128 -0.378606779 +5133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.296233299 -0.378606779 +5134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.011527605 -0.378606779 +5135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.026387529 -0.378606779 +5136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.535163501 -0.378606779 +5137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.420906515 -0.378606779 +5138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.025313618 -0.378606779 +5139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.082142739 -0.378606779 +5141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.771304127 -0.378606779 +5140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.17923988 -0.378606779 +5142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.235756868 -0.378606779 +5143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.561075378 -0.378606779 +5144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.238146318 -0.378606779 +5145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.002395997 -0.378606779 +5146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.120321406 -0.378606779 +5147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.060513644 -0.378606779 +5148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.565403849 -0.378606779 +5150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.740072221 -0.378606779 +5151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.269884482 -0.378606779 +5149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.525187313 -0.378606779 +5152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.631481094 -0.378606779 +5153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.578360762 -0.378606779 +5154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.501997852 -0.378606779 +5155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.076036608 -0.378606779 +5156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.635584695 -0.378606779 +5157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.268517568 -0.378606779 +5158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.479808167 -0.378606779 +5160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.53603755 -0.378606779 +5161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.26544011 -0.378606779 +5159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.687171873 -0.378606779 +5162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.081767659 -0.378606779 +5163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.053084324 -0.378606779 +5164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.647452263 -0.378606779 +5165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.580725701 -0.378606779 +5166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.649309105 -0.378606779 +5168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.64237146 -0.378606779 +5167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.828694811 -0.378606779 +5170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.647902493 -0.378606779 +5171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.010644719 -0.378606779 +5172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.257565412 -0.378606779 +5173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.406446631 -0.378606779 +5174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.530913167 -0.378606779 +5176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.074187532 -0.378606779 +5175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.215948343 -0.378606779 +5169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.428724919 -0.378606779 +5178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.580975393 -0.378606779 +5177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.628349395 -0.378606779 +5179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.388888472 -0.378606779 +5180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.252441739 -0.378606779 +5182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.25916599 -0.378606779 +5181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.344465384 -0.378606779 +5184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.150491882 -0.378606779 +5183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.280520836 -0.378606779 +5185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.107823927 -0.378606779 +5186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.344386624 -0.378606779 +5187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.199864905 -0.378606779 +5188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.376165333 -0.378606779 +5189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.246059121 -0.378606779 +5190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.044953872 -0.378606779 +5191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.116406842 -0.378606779 +5192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.693078295 -0.378606779 +5193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.107238499 -0.378606779 +5194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.029251905 -0.378606779 +5195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.266301812 -0.378606779 +5196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.096203464 -0.378606779 +5197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.620522708 -0.378606779 +5198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.097693404 -0.378606779 +5200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.788991619 -0.378606779 +5199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.202703512 -0.378606779 +5201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.109229391 -0.378606779 +5202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.081502692 -0.378606779 +5203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.119059669 -0.378606779 +5205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.364379627 -0.378606779 +5204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.147709205 -0.378606779 +5206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.633200083 -0.378606779 +5207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.626583978 -0.378606779 +5208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.278576045 -0.378606779 +5209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.149811828 -0.378606779 +5210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.194043854 -0.378606779 +5211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.678791398 -0.378606779 +5212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.048935972 -0.378606779 +5213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.811774274 -0.378606779 +5214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.700684987 -0.378606779 +5215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.380861906 -0.378606779 +5217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.492764065 -0.378606779 +5216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.396763769 -0.378606779 +5218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.398811023 -0.378606779 +5220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.688344407 -0.378606779 +5219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.521795489 -0.378606779 +5221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.038553748 -0.378606779 +5222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.190826189 -0.378606779 +5223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.246130821 -0.378606779 +5224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.619415747 -0.378606779 +5225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.556167588 -0.378606779 +5226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.60631791 -0.378606779 +5228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.047337003 -0.378606779 +5227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.789554721 -0.378606779 +5229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.815492674 -0.378606779 +5230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.644186172 -0.378606779 +5231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.651953947 -0.378606779 +5232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.290091154 -0.378606779 +5236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.648942788 -0.378606779 +5235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.453323664 -0.378606779 +5234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.12672207 -0.378606779 +5233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.840178064 -0.378606779 +5238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.716958301 -0.378606779 +5237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.202909101 -0.378606779 +5239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.424869515 -0.378606779 +5240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.069703615 -0.378606779 +5241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.392428316 -0.378606779 +5243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.452045495 -0.378606779 +5242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.030612706 -0.378606779 +5244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.384161838 -0.378606779 +5245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.488981934 -0.378606779 +5246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.545325808 -0.378606779 +5247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.610524397 -0.378606779 +5248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.342235134 -0.378606779 +5249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.347927575 -0.378606779 +5250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.254443049 -0.378606779 +5251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.779451558 -0.378606779 +5253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.137952812 -0.378606779 +5252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.724594178 -0.378606779 +5254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.155101844 -0.378606779 +5255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.002072544 -0.378606779 +5256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.734478886 -0.378606779 +5257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.646845322 -0.378606779 +5259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.281790011 -0.378606779 +5258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.488175797 -0.378606779 +5260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.196063522 -0.378606779 +5262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.538894661 -0.378606779 +5261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.109413989 -0.378606779 +5265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.016137957 -0.378606779 +5264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.717651364 -0.378606779 +5263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.450176413 -0.378606779 +5267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.142440646 -0.378606779 +5266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.782084204 -0.378606779 +5268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.423610869 -0.378606779 +5269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.033405982 -0.378606779 +5270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.617615494 -0.378606779 +5272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.599830666 -0.378606779 +5271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.034482833 -0.378606779 +5275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.194999088 -0.378606779 +5273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.675621755 -0.378606779 +5274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.151631955 -0.378606779 +5276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.529235936 -0.378606779 +5277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.493850456 -0.378606779 +5278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.262906913 -0.378606779 +5280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.381407943 -0.378606779 +5279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.564975736 -0.378606779 +5281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.156022848 -0.378606779 +5282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.286556961 -0.378606779 +5283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.215782875 -0.378606779 +5284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.764101193 -0.378606779 +5285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.208439429 -0.378606779 +5287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.222552355 -0.378606779 +5288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.126517172 -0.378606779 +5289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.098214768 -0.378606779 +5290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.046186627 -0.378606779 +5286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.621659827 -0.378606779 +5291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.628377553 -0.378606779 +5292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.11436765 -0.378606779 +5293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.367628068 -0.378606779 +5294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.152540473 -0.378606779 +5295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.258379782 -0.378606779 +5297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.471155301 -0.378606779 +5296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.234448554 -0.378606779 +5299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.305643655 -0.378606779 +5300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.485633999 -0.378606779 +5301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.631453522 -0.378606779 +5298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.357990394 -0.378606779 +5302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.256671801 -0.378606779 +5303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.691513774 -0.378606779 +5304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.33823894 -0.378606779 +5307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.083005214 -0.378606779 +5306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.030427549 -0.378606779 +5305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.289366872 -0.378606779 +5308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.675823815 -0.378606779 +5310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.351367428 -0.378606779 +5311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.142170985 -0.378606779 +5312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.733844076 -0.378606779 +5313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.418778562 -0.378606779 +5315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.070608882 -0.378606779 +5314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.286408356 -0.378606779 +5309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.600498792 -0.378606779 +5316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.366103073 -0.378606779 +5317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.066936743 -0.378606779 +5318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.053840225 -0.378606779 +5319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.305862635 -0.378606779 +5320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.437898336 -0.378606779 +5321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.668777442 -0.378606779 +5322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.055509918 -0.378606779 +5324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.473248736 -0.378606779 +5323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.426416791 -0.378606779 +5325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.26685267 -0.378606779 +5326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.321479992 -0.378606779 +5327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.108117191 -0.378606779 +5328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.020978617 -0.378606779 +5329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.556384621 -0.378606779 +5330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.614157435 -0.378606779 +5331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.028674623 -0.378606779 +5332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.01011439 -0.378606779 +5333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.079222703 -0.378606779 +5334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.270017724 -0.378606779 +5335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.426050505 -0.378606779 +5337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.157494602 -0.378606779 +5336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.547761264 -0.378606779 +5338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.407869379 -0.378606779 +5339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.617052065 -0.378606779 +5341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.14238336 -0.378606779 +5340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.192268073 -0.378606779 +5343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.405720544 -0.378606779 +5345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.474557379 -0.378606779 +5344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.283952046 -0.378606779 +5342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.730874323 -0.378606779 +5346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.495180911 -0.378606779 +5347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.464213452 -0.378606779 +5348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.438633031 -0.378606779 +5349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.050626961 -0.378606779 +5351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.356287682 -0.378606779 +5353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.462008785 -0.378606779 +5352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.770167231 -0.378606779 +5350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.049112138 -0.378606779 +5354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.790601821 -0.378606779 +5355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.035210669 -0.378606779 +5356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.195263795 -0.378606779 +5357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.235556848 -0.378606779 +5358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.507943898 -0.378606779 +5361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.079397898 -0.378606779 +5359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.009061923 -0.378606779 +5360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.772555063 -0.378606779 +5362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.734661714 -0.378606779 +5363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.364565242 -0.378606779 +5364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.157581994 -0.378606779 +5365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.409920115 -0.378606779 +5366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.400328566 -0.378606779 +5369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.15229036 -0.378606779 +5370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.687041864 -0.378606779 +5368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.296160608 -0.378606779 +5371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.318322049 -0.378606779 +5367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.094650859 -0.378606779 +5372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.135552685 -0.378606779 +5374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.227565896 -0.378606779 +5373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.214484905 -0.378606779 +5376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.75814998 -0.378606779 +5375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.651791859 -0.378606779 +5377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.008521524 -0.378606779 +5378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.469388741 -0.378606779 +5379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.485995222 -0.378606779 +5380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.692335489 -0.378606779 +5381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.408279159 -0.378606779 +5382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.029520816 -0.378606779 +5383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.287950864 -0.378606779 +5384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.645733624 -0.378606779 +5385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.262836785 -0.378606779 +5386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.725514954 -0.378606779 +5387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.438656787 -0.378606779 +5388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.119167991 -0.378606779 +5389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.170568135 -0.378606779 +5391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.191438418 -0.378606779 +5392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.171038506 -0.378606779 +5393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.529353362 -0.378606779 +5390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.799335142 -0.378606779 +5394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.038668738 -0.378606779 +5395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.419807243 -0.378606779 +5396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.093203416 -0.378606779 +5397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.625924083 -0.378606779 +5398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.179396171 -0.378606779 +5399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.636364197 -0.378606779 +5400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.744827052 -0.378606779 +5403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.004166981 -0.378606779 +5402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.260333314 -0.378606779 +5401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.663197995 -0.378606779 +5404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.018266917 -0.378606779 +5405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.409328503 -0.378606779 +5407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.696530356 -0.378606779 +5406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.047452214 -0.378606779 +5408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.302971815 -0.378606779 +5410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.557569681 -0.378606779 +5409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.48492843 -0.378606779 +5412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.139579008 -0.378606779 +5413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.839067195 -0.378606779 +5411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.314940796 -0.378606779 +5414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.591093697 -0.378606779 +5416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.322297511 -0.378606779 +5415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.617708664 -0.378606779 +5418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.282301698 -0.378606779 +5417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.355718959 -0.378606779 +5419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.51151514 -0.378606779 +5420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.373424789 -0.378606779 +5421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.129040329 -0.378606779 +5422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.349085851 -0.378606779 +5423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.150302954 -0.378606779 +5424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.379657201 -0.378606779 +5426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.590792986 -0.378606779 +5425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.789053445 -0.378606779 +5427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.758865346 -0.378606779 +5428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.280112712 -0.378606779 +5429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.55228122 -0.378606779 +5430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.634228912 -0.378606779 +5431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.779811412 -0.378606779 +5432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.463325281 -0.378606779 +5434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.137217664 -0.378606779 +5433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.060102065 -0.378606779 +5435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.022766069 -0.378606779 +5436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.09418679 -0.378606779 +5437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.241494574 -0.378606779 +5438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.45502451 -0.378606779 +5440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.814981586 -0.378606779 +5439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.074555899 -0.378606779 +5443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.505607854 -0.378606779 +5441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.04136709 -0.378606779 +5442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.063259189 -0.378606779 +5444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.786831491 -0.378606779 +5445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.687826727 -0.378606779 +5448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.545435537 -0.378606779 +5450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.288917008 -0.378606779 +5449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.03958627 -0.378606779 +5447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.157966963 -0.378606779 +5451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.493918893 -0.378606779 +5446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.634956821 -0.378606779 +5452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.56921817 -0.378606779 +5453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.281614292 -0.378606779 +5455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.629184185 -0.378606779 +5457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.423342687 -0.378606779 +5456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.025433487 -0.378606779 +5454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.748024711 -0.378606779 +5458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.691999415 -0.378606779 +5459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.01168141 -0.378606779 +5460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.537192872 -0.378606779 +5461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.508212556 -0.378606779 +5463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 3.44E-05 -0.378606779 +5464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.086000472 -0.378606779 +5465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.68897124 -0.378606779 +5462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.208806674 -0.378606779 +5466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.029036176 -0.378606779 +5468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.554013848 -0.378606779 +5467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.359618427 -0.378606779 +5469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.13622181 -0.378606779 +5470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.443651164 -0.378606779 +5471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.027571218 -0.378606779 +5473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.749426279 -0.378606779 +5472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.109950668 -0.378606779 +5474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.884833888 -0.378606779 +5475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.425362067 -0.378606779 +5476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.872249903 -0.378606779 +5477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.730982427 -0.378606779 +5478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.766963272 -0.378606779 +5479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.055066247 -0.378606779 +5480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.684321337 -0.378606779 +5481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.529887263 -0.378606779 +5482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.113636648 -0.378606779 +5483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.065374355 -0.378606779 +5485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.265899096 -0.378606779 +5486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.361870864 -0.378606779 +5487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.111693413 -0.378606779 +5488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.141591356 -0.378606779 +5489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.143129257 -0.378606779 +5490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.174814195 -0.378606779 +5484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.601462092 -0.378606779 +5491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.215689227 -0.378606779 +5492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.696311238 -0.378606779 +5493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.113716529 -0.378606779 +5496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.690577927 -0.378606779 +5494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.206259166 -0.378606779 +5495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.126022318 -0.378606779 +5497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.157461943 -0.378606779 +5499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.032753457 -0.378606779 +5498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.018488459 -0.378606779 +5500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.53610187 -0.378606779 +5501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.747222106 -0.378606779 +5503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.228668575 -0.378606779 +5505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 5.74E-05 -0.378606779 +5504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.437076785 -0.378606779 +5502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.128203305 -0.378606779 +5506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.179587083 -0.378606779 +5508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.197195208 -0.378606779 +5507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.184845097 -0.378606779 +5509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.174783779 -0.378606779 +5510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.553546875 -0.378606779 +5513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.023072972 -0.378606779 +5512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.270124614 -0.378606779 +5511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.313948604 -0.378606779 +5514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.659613505 -0.378606779 +5516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.250880364 -0.378606779 +5518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.058726188 -0.378606779 +5515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.277624074 -0.378606779 +5517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.569019826 -0.378606779 +5519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.476536681 -0.378606779 +5521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.532900401 -0.378606779 +5520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.296076906 -0.378606779 +5522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.693666658 -0.378606779 +5525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.685480213 -0.378606779 +5524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.705684219 -0.378606779 +5523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.31948447 -0.378606779 +5526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.388115143 -0.378606779 +5527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.109299482 -0.378606779 +5529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.56372642 -0.378606779 +5528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.305910643 -0.378606779 +5530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.59489416 -0.378606779 +5531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.550608101 -0.378606779 +5532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.039537347 -0.378606779 +5535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.281075291 -0.378606779 +5534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.540305329 -0.378606779 +5533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.85460122 -0.378606779 +5537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.119768426 -0.378606779 +5536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.007999015 -0.378606779 +5538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.552079751 -0.378606779 +5539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.322536449 -0.378606779 +5540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.567118988 -0.378606779 +5542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.508169214 -0.378606779 +5541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.50015906 -0.378606779 +5544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.548885463 -0.378606779 +5545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.371900538 -0.378606779 +5543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.124563463 -0.378606779 +5546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.316217676 -0.378606779 +5547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.485503837 -0.378606779 +5548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.549882889 -0.378606779 +5549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.622564638 -0.378606779 +5550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.71850187 -0.378606779 +5551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.449217724 -0.378606779 +5552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.003617022 -0.378606779 +5553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.047342059 -0.378606779 +5554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.087340447 -0.378606779 +5555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.122659228 -0.378606779 +5556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.300640641 -0.378606779 +5557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.468958337 -0.378606779 +5558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.047364629 -0.378606779 +5560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.670929117 -0.378606779 +5559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.854986149 -0.378606779 +5562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.029188918 -0.378606779 +5561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.568314358 -0.378606779 +5563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.74198016 -0.378606779 +5565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.006852814 -0.378606779 +5564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.670803368 -0.378606779 +5566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.543409705 -0.378606779 +5567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.443831322 -0.378606779 +5568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.319939781 -0.378606779 +5569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.677960589 -0.378606779 +5571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.002674085 -0.378606779 +5570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.747785103 -0.378606779 +5572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.479638542 -0.378606779 +5573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.276808295 -0.378606779 +5574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.423062039 -0.378606779 +5575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.53578606 -0.378606779 +5576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.775978475 -0.378606779 +5577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.747929788 -0.378606779 +5578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.063680412 -0.378606779 +5579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.329942636 -0.378606779 +5580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.344607148 -0.378606779 +5581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.438212537 -0.378606779 +5582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.077562455 -0.378606779 +5583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.072438891 -0.378606779 +5585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.674399046 -0.378606779 +5584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.231110209 -0.378606779 +5586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.153526412 -0.378606779 +5588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.149246289 -0.378606779 +5589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.567059491 -0.378606779 +5590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.648449217 -0.378606779 +5591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.163686907 -0.378606779 +5592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.274395218 -0.378606779 +5587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.746061763 -0.378606779 +5593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.608682955 -0.378606779 +5594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.799072628 -0.378606779 +5595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.403327593 -0.378606779 +5596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.026291348 -0.378606779 +5597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.466888343 -0.378606779 +5599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.794199769 -0.378606779 +5598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.485753661 -0.378606779 +5600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.18762169 -0.378606779 +5601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.682605195 -0.378606779 +5602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.713156555 -0.378606779 +5603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.692728054 -0.378606779 +5604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.53142488 -0.378606779 +5605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.385838409 -0.378606779 +5607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.374023089 -0.378606779 +5606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.10163468 -0.378606779 +5609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.650969304 -0.378606779 +5610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.015356604 -0.378606779 +5608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.020031591 -0.378606779 +5611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.393941908 -0.378606779 +5612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.3080964 -0.378606779 +5613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.073027753 -0.378606779 +5614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.309407268 -0.378606779 +5615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.46511759 -0.378606779 +5616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.326417749 -0.378606779 +5617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.461413202 -0.378606779 +5618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.858874526 -0.378606779 +5619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.55017808 -0.378606779 +5620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.774724851 -0.378606779 +5622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.090018034 -0.378606779 +5621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.454490548 -0.378606779 +5623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.685427874 -0.378606779 +5624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.68853906 -0.378606779 +5625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.404443822 -0.378606779 +5627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.42258877 -0.378606779 +5628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.612172778 -0.378606779 +5630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.615281741 -0.378606779 +5631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.645850152 -0.378606779 +5629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.269296806 -0.378606779 +5632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.229128807 -0.378606779 +5626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.766560069 -0.378606779 +5633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.786945216 -0.378606779 +5634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.61332955 -0.378606779 +5636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.626477112 -0.378606779 +5635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.071756301 -0.378606779 +5637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.462763518 -0.378606779 +5638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.361894633 -0.378606779 +5640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.329155611 -0.378606779 +5639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.833480845 -0.378606779 +5641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.317426589 -0.378606779 +5642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.736659634 -0.378606779 +5643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.529713435 -0.378606779 +5645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.455995597 -0.378606779 +5646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.81466726 -0.378606779 +5647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.728865032 -0.378606779 +5648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.349764288 -0.378606779 +5644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.257213375 -0.378606779 +5650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.031290311 -0.378606779 +5649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.575771296 -0.378606779 +5651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.363157985 -0.378606779 +5652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.829452896 -0.378606779 +5653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.485482779 -0.378606779 +5656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.142495561 -0.378606779 +5655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.682742145 -0.378606779 +5654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.661917469 -0.378606779 +5657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.122653253 -0.378606779 +5658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.292361745 -0.378606779 +5659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.29584478 -0.378606779 +5660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.252150184 -0.378606779 +5661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.313960389 -0.378606779 +5662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.716189689 -0.378606779 +5663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.43492916 -0.378606779 +5665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.086721719 -0.378606779 +5664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.002987651 -0.378606779 +5666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.738090945 -0.378606779 +5667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.690687536 -0.378606779 +5668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.029413173 -0.378606779 +5669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.43856146 -0.378606779 +5670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.405064704 -0.378606779 +5671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.599605877 -0.378606779 +5672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.210873422 -0.378606779 +5674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.158137146 -0.378606779 +5673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.422118228 -0.378606779 +5675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.267341934 -0.378606779 +5676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.484891179 -0.378606779 +5677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.128401673 -0.378606779 +5678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.192125672 -0.378606779 +5680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.27629572 -0.378606779 +5679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.631008774 -0.378606779 +5681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.314049356 -0.378606779 +5684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.003411876 -0.378606779 +5682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.156066342 -0.378606779 +5683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.265924142 -0.378606779 +5685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.335035421 -0.378606779 +5686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.341033273 -0.378606779 +5687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.01105389 -0.378606779 +5688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.022757959 -0.378606779 +5689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.680420248 -0.378606779 +5692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.404216435 -0.378606779 +5690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.606829232 -0.378606779 +5693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.502557851 -0.378606779 +5694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.652706309 -0.378606779 +5695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.557939043 -0.378606779 +5691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.499616223 -0.378606779 +5696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.726078571 -0.378606779 +5697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.817184933 -0.378606779 +5698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.725306778 -0.378606779 +5699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.787098856 -0.378606779 +5700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.525708486 -0.378606779 +5701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.4139531 -0.378606779 +5702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.717914249 -0.378606779 +5704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.03216341 -0.378606779 +5705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.055087531 -0.378606779 +5706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.075140004 -0.378606779 +5707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.624314508 -0.378606779 +5703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.162820838 -0.378606779 +5708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.073254792 -0.378606779 +5709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.836414511 -0.378606779 +5710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.102145658 -0.378606779 +5711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.654703049 -0.378606779 +5712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.183544644 -0.378606779 +5713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.077897354 -0.378606779 +5714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.559305551 -0.378606779 +5715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.349232452 -0.378606779 +5716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.705676109 -0.378606779 +5717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.234997174 -0.378606779 +5718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.698693864 -0.378606779 +5719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.759171182 -0.378606779 +5721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.130250848 -0.378606779 +5720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.432669078 -0.378606779 +5722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.106840904 -0.378606779 +5724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.659715434 -0.378606779 +5725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.387018051 -0.378606779 +5726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.643747149 -0.378606779 +5723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.04411958 -0.378606779 +5727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.521730526 -0.378606779 +5728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.224639231 -0.378606779 +5729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.307585002 -0.378606779 +5730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.29188806 -0.378606779 +5731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.04484136 -0.378606779 +5732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.633092089 -0.378606779 +5733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.639754503 -0.378606779 +5734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.06108355 -0.378606779 +5735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.677208588 -0.378606779 +5736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.110535898 -0.378606779 +5737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.809861356 -0.378606779 +5738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.72526611 -0.378606779 +5739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.391954222 -0.378606779 +5741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.317935606 -0.378606779 +5740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.004094096 -0.378606779 +5743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.783228458 -0.378606779 +5744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.188409064 -0.378606779 +5745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.703022604 -0.378606779 +5742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.052244635 -0.378606779 +5746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.4884692 -0.378606779 +5747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.773592392 -0.378606779 +5748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.067163888 -0.378606779 +5749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.753202397 -0.378606779 +5750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.404602526 -0.378606779 +5751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.647079632 -0.378606779 +5754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.273778362 -0.378606779 +5753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.296866178 -0.378606779 +5752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.296150888 -0.378606779 +5755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.040320615 -0.378606779 +5756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.20377028 -0.378606779 +5758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.241301827 -0.378606779 +5757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.289700163 -0.378606779 +5759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.613254146 -0.378606779 +5760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.506955944 -0.378606779 +5762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.551415321 -0.378606779 +5764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.429285461 -0.378606779 +5761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.576830694 -0.378606779 +5763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.119675929 -0.378606779 +5765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.204945799 -0.378606779 +5767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.472694075 -0.378606779 +5766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.396638193 -0.378606779 +5768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.256912835 -0.378606779 +5770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.303329995 -0.378606779 +5769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.570820347 -0.378606779 +5772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.650831274 -0.378606779 +5771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.53946265 -0.378606779 +5775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.648557519 -0.378606779 +5773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.739487152 -0.378606779 +5774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.073874284 -0.378606779 +5776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.122079042 -0.378606779 +5777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.177214672 -0.378606779 +5778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.034350454 -0.378606779 +5779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.470817374 -0.378606779 +5781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.696709316 -0.378606779 +5782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.011076664 -0.378606779 +5780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.008435728 -0.378606779 +5783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.647364575 -0.378606779 +5784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.35741199 -0.378606779 +5785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.00784653 -0.378606779 +5786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.215212296 -0.378606779 +5787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.360318598 -0.378606779 +5789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.43635172 -0.378606779 +5788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.372284525 -0.378606779 +5790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.54858711 -0.378606779 +5791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.076986963 -0.378606779 +5793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.129482872 -0.378606779 +5792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.20353729 -0.378606779 +5794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.242633266 -0.378606779 +5795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.753282512 -0.378606779 +5796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.119089334 -0.378606779 +5797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.070832012 -0.378606779 +5798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.429785047 -0.378606779 +5799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.323150852 -0.378606779 +5800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.048558087 -0.378606779 +5802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.562865683 -0.378606779 +5801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.121786276 -0.378606779 +5803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.809651625 -0.378606779 +5804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.637726188 -0.378606779 +5805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.275747335 -0.378606779 +5807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.667858071 -0.378606779 +5808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.094254094 -0.378606779 +5806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.448577386 -0.378606779 +5809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.436639056 -0.378606779 +5811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.237566472 -0.378606779 +5810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.628523901 -0.378606779 +5812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.707066345 -0.378606779 +5813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.354340006 -0.378606779 +5814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.592183759 -0.378606779 +5815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.036695991 -0.378606779 +5817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.427993544 -0.378606779 +5819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.500179133 -0.378606779 +5818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.172399986 -0.378606779 +5820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.389739732 -0.378606779 +5821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.247433954 -0.378606779 +5816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.102998716 -0.378606779 +5822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.104702869 -0.378606779 +5823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.042633955 -0.378606779 +5827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.424319375 -0.378606779 +5824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.667662114 -0.378606779 +5826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.641223012 -0.378606779 +5828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.562580278 -0.378606779 +5825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.780546536 -0.378606779 +5829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.364667659 -0.378606779 +5830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.346941995 -0.378606779 +5834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.413045964 -0.378606779 +5832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.490523041 -0.378606779 +5836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.615703157 -0.378606779 +5831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.294036585 -0.378606779 +5835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.082523153 -0.378606779 +5833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.109881827 -0.378606779 +5838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.312573836 -0.378606779 +5839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.098763096 -0.378606779 +5840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.686439131 -0.378606779 +5837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.486339102 -0.378606779 +5842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.511473012 -0.378606779 +5841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.133035191 -0.378606779 +5843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.485838211 -0.378606779 +5844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.179301378 -0.378606779 +5845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.562007182 -0.378606779 +5846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.681139615 -0.378606779 +5847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.613663827 -0.378606779 +5848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.31251265 -0.378606779 +5851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.642808385 -0.378606779 +5850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.035944809 -0.378606779 +5853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.476044584 -0.378606779 +5849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.748930356 -0.378606779 +5855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.477790657 -0.378606779 +5854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.430306898 -0.378606779 +5856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.00887982 -0.378606779 +5852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.744962988 -0.378606779 +5857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.13317135 -0.378606779 +5858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.608925648 -0.378606779 +5861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.385844863 -0.378606779 +5860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.725146487 -0.378606779 +5862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.01323597 -0.378606779 +5863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.252297655 -0.378606779 +5859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.540005123 -0.378606779 +5864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.285006176 -0.378606779 +5866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.544217389 -0.378606779 +5865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.551436779 -0.378606779 +5867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.741042688 -0.378606779 +5869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.328115793 -0.378606779 +5871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.741310493 -0.378606779 +5870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.019875767 -0.378606779 +5872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.041177376 -0.378606779 +5868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.780394348 -0.378606779 +5873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.141268091 -0.378606779 +5874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.492732359 -0.378606779 +5875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.429868081 -0.378606779 +5876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.120025167 -0.378606779 +5878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.80527522 -0.378606779 +5877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.047981694 -0.378606779 +5879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.354829082 -0.378606779 +5880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.023734574 -0.378606779 +5881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.570848405 -0.378606779 +5884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.664775749 -0.378606779 +5883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.780546845 -0.378606779 +5882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.288354728 -0.378606779 +5885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.255740746 -0.378606779 +5887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.615259486 -0.378606779 +5886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.046579626 -0.378606779 +5888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.788793655 -0.378606779 +5889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.313659411 -0.378606779 +5891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.667383626 -0.378606779 +5892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.308512545 -0.378606779 +5893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.54196655 -0.378606779 +5890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.110249049 -0.378606779 +5895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.506063051 -0.378606779 +5896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.143725965 -0.378606779 +5894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.736795792 -0.378606779 +5897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.709426207 -0.378606779 +5898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.302974886 -0.378606779 +5900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.346328095 -0.378606779 +5901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.592911149 -0.378606779 +5899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.525655093 -0.378606779 +5902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.134397337 -0.378606779 +5904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.353660783 -0.378606779 +5903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.007302677 -0.378606779 +5906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.415298322 -0.378606779 +5908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.65370546 -0.378606779 +5905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.067266382 -0.378606779 +5909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.531352976 -0.378606779 +5907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.568436372 -0.378606779 +5910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.270208794 -0.378606779 +5912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.285389897 -0.378606779 +5911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.636902167 -0.378606779 +5913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.727149382 -0.378606779 +5914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.669892303 -0.378606779 +5915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.55590597 -0.378606779 +5916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.511175091 -0.378606779 +5917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.227870278 -0.378606779 +5918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.792687591 -0.378606779 +5920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.070541518 -0.378606779 +5919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.681643359 -0.378606779 +5922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.637953422 -0.378606779 +5923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.154192145 -0.378606779 +5924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.541893605 -0.378606779 +5925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.327554242 -0.378606779 +5921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.124440691 -0.378606779 +5926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.635884531 -0.378606779 +5927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.583880253 -0.378606779 +5929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.380754912 -0.378606779 +5930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.130502216 -0.378606779 +5931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.664130476 -0.378606779 +5932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.041503222 -0.378606779 +5928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.417439168 -0.378606779 +5933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.265067493 -0.378606779 +5934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.534578595 -0.378606779 +5936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.370258154 -0.378606779 +5937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.500616753 -0.378606779 +5939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.410014666 -0.378606779 +5935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.391359554 -0.378606779 +5938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.080706399 -0.378606779 +5941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.833476294 -0.378606779 +5940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.723194429 -0.378606779 +5942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.23218565 -0.378606779 +5943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.857810774 -0.378606779 +5946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.179529481 -0.378606779 +5947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.8027882 -0.378606779 +5944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.740177725 -0.378606779 +5945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.491375516 -0.378606779 +5948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.039173231 -0.378606779 +5949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.064452072 -0.378606779 +5950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.296887537 -0.378606779 +5951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.118352829 -0.378606779 +5953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.739420431 -0.378606779 +5954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.554202918 -0.378606779 +5955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.716137509 -0.378606779 +5952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.043682467 -0.378606779 +5957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.686180592 -0.378606779 +5956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.303698301 -0.378606779 +5959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.379812036 -0.378606779 +5958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.324397873 -0.378606779 +5961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.696291976 -0.378606779 +5960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.660671751 -0.378606779 +5962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.324422257 -0.378606779 +5963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.060345317 -0.378606779 +5964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.295232162 -0.378606779 +5965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.029869622 -0.378606779 +5967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.620967759 -0.378606779 +5966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.428631249 -0.378606779 +5969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.078434488 -0.378606779 +5970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.274367151 -0.378606779 +5968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.719671378 -0.378606779 +5972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.004761504 -0.378606779 +5971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.013163962 -0.378606779 +5975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.775479224 -0.378606779 +5974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.195823398 -0.378606779 +5976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.500987774 -0.378606779 +5977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.02732697 -0.378606779 +5980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.394766564 -0.378606779 +5978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.007675262 -0.378606779 +5973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.025740928 -0.378606779 +5979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.632847909 -0.378606779 +5982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.196575645 -0.378606779 +5984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.590512345 -0.378606779 +5985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.393555974 -0.378606779 +5986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.016443278 -0.378606779 +5981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.469275496 -0.378606779 +5987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.106371387 -0.378606779 +5983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.157180954 -0.378606779 +5988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.691089501 -0.378606779 +5989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.742956056 -0.378606779 +5990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.180561016 -0.378606779 +5993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.459663484 -0.378606779 +5992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.002226394 -0.378606779 +5996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.761933105 -0.378606779 +5995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.017476992 -0.378606779 +5994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.039914511 -0.378606779 +5991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.203156226 -0.378606779 +5999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.354847969 -0.378606779 +6000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.268339756 -0.378606779 +5998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 -0.232195304 -0.378606779 +5997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.75 10 1 0.063517056 -0.378606779 +6001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.16669698 -0.388830124 +6002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.555669568 -0.388830124 +6004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.397702734 -0.388830124 +6003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.169424709 -0.388830124 +6006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.174682942 -0.388830124 +6007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.650575944 -0.388830124 +6005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.711586292 -0.388830124 +6008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.445831326 -0.388830124 +6009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.408543477 -0.388830124 +6011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.450847308 -0.388830124 +6010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.48701154 -0.388830124 +6012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.844362807 -0.388830124 +6015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.571568594 -0.388830124 +6014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.091268621 -0.388830124 +6017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.583811141 -0.388830124 +6013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.398605097 -0.388830124 +6016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.25148761 -0.388830124 +6019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 7.97E-04 -0.388830124 +6018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.719609508 -0.388830124 +6020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.069252701 -0.388830124 +6022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.673519563 -0.388830124 +6024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.03996245 -0.388830124 +6021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.420410107 -0.388830124 +6025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.489489323 -0.388830124 +6026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.729062124 -0.388830124 +6023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.082173076 -0.388830124 +6027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.704471411 -0.388830124 +6029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.492902488 -0.388830124 +6030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.141704534 -0.388830124 +6031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.626402357 -0.388830124 +6032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.671149792 -0.388830124 +6034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.330666399 -0.388830124 +6035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.54339168 -0.388830124 +6028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.354991398 -0.388830124 +6033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.492821337 -0.388830124 +6036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.065931431 -0.388830124 +6037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.079538885 -0.388830124 +6038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.446331259 -0.388830124 +6039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.081632597 -0.388830124 +6040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.697783817 -0.388830124 +6042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.666929988 -0.388830124 +6043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.655017019 -0.388830124 +6041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.39780954 -0.388830124 +6044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.006033787 -0.388830124 +6045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.335446203 -0.388830124 +6048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.210975236 -0.388830124 +6047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.144386709 -0.388830124 +6049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.431480595 -0.388830124 +6050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.105553077 -0.388830124 +6046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.15022717 -0.388830124 +6051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.117346236 -0.388830124 +6052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.26473732 -0.388830124 +6053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.033468575 -0.388830124 +6054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.176819514 -0.388830124 +6055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.411723219 -0.388830124 +6056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.317708111 -0.388830124 +6057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.219885202 -0.388830124 +6060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.77009252 -0.388830124 +6059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.05593646 -0.388830124 +6058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.549286839 -0.388830124 +6061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.421784656 -0.388830124 +6063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.73751611 -0.388830124 +6062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.205608478 -0.388830124 +6065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.296362053 -0.388830124 +6064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.45436143 -0.388830124 +6066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.06597089 -0.388830124 +6067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.587513677 -0.388830124 +6069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.102612484 -0.388830124 +6070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.556407197 -0.388830124 +6068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.830847584 -0.388830124 +6071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.007739685 -0.388830124 +6072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.646277975 -0.388830124 +6073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.49421667 -0.388830124 +6074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.628941273 -0.388830124 +6076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.439253187 -0.388830124 +6075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.089701636 -0.388830124 +6077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.227207274 -0.388830124 +6078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.252876143 -0.388830124 +6080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.020378057 -0.388830124 +6081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.591678315 -0.388830124 +6079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.314334028 -0.388830124 +6082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.13881442 -0.388830124 +6083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.036585797 -0.388830124 +6085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.328708324 -0.388830124 +6084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.744804914 -0.388830124 +6086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.255166346 -0.388830124 +6087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.124483751 -0.388830124 +6089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.617699325 -0.388830124 +6088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.587471529 -0.388830124 +6091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.470657044 -0.388830124 +6090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.305152365 -0.388830124 +6094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.354287077 -0.388830124 +6092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.345408263 -0.388830124 +6095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.783618185 -0.388830124 +6096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.651809741 -0.388830124 +6097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.387855016 -0.388830124 +6098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.090337711 -0.388830124 +6093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.343191907 -0.388830124 +6099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.491904873 -0.388830124 +6101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.623548571 -0.388830124 +6103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.0221119 -0.388830124 +6100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.264233103 -0.388830124 +6102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.387091846 -0.388830124 +6105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.380380286 -0.388830124 +6106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.457757504 -0.388830124 +6107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.538120375 -0.388830124 +6104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.699621161 -0.388830124 +6108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.43579968 -0.388830124 +6109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.744786786 -0.388830124 +6110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.732049881 -0.388830124 +6111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.603452279 -0.388830124 +6112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.570923714 -0.388830124 +6114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.112941779 -0.388830124 +6113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.315155044 -0.388830124 +6116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.361715782 -0.388830124 +6115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.764512764 -0.388830124 +6118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.535876909 -0.388830124 +6119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.009727278 -0.388830124 +6120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.7014634 -0.388830124 +6122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.651942791 -0.388830124 +6121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.692437286 -0.388830124 +6117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.494699811 -0.388830124 +6124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.608867661 -0.388830124 +6123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.352173964 -0.388830124 +6125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.093025005 -0.388830124 +6130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.136390806 -0.388830124 +6128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.434846121 -0.388830124 +6126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.106087059 -0.388830124 +6127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.048053076 -0.388830124 +6129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.460977534 -0.388830124 +6132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.088730032 -0.388830124 +6133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.167657661 -0.388830124 +6131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.033015924 -0.388830124 +6134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.024312238 -0.388830124 +6135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.435769032 -0.388830124 +6136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.045902756 -0.388830124 +6137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.392291176 -0.388830124 +6139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.660503466 -0.388830124 +6141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.487004836 -0.388830124 +6140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.69226251 -0.388830124 +6142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.291007273 -0.388830124 +6138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.476554242 -0.388830124 +6143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.334269238 -0.388830124 +6144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.695072142 -0.388830124 +6146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.415436768 -0.388830124 +6147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.099521035 -0.388830124 +6145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.112245887 -0.388830124 +6148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.437205708 -0.388830124 +6149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.179603394 -0.388830124 +6152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.702692961 -0.388830124 +6151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.690635133 -0.388830124 +6150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.69969751 -0.388830124 +6153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.262506795 -0.388830124 +6154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.478288412 -0.388830124 +6156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.315352969 -0.388830124 +6155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.134654305 -0.388830124 +6157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.092502432 -0.388830124 +6158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.591241753 -0.388830124 +6159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.170303127 -0.388830124 +6161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.477902822 -0.388830124 +6162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.462061538 -0.388830124 +6160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.703570044 -0.388830124 +6164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.495872849 -0.388830124 +6166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.50214961 -0.388830124 +6165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.465299651 -0.388830124 +6167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.505880349 -0.388830124 +6163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.639027613 -0.388830124 +6170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.042833325 -0.388830124 +6169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.024444136 -0.388830124 +6168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.506983045 -0.388830124 +6172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.423233978 -0.388830124 +6173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.156577798 -0.388830124 +6171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.124081777 -0.388830124 +6174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.800530206 -0.388830124 +6175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.08991706 -0.388830124 +6176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.613972171 -0.388830124 +6178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.388574863 -0.388830124 +6179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.690624778 -0.388830124 +6180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.258926603 -0.388830124 +6177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.02858387 -0.388830124 +6181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.487195614 -0.388830124 +6182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.47137535 -0.388830124 +6183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.276290672 -0.388830124 +6184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.788565589 -0.388830124 +6186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.006591268 -0.388830124 +6189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.776514625 -0.388830124 +6188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.417274992 -0.388830124 +6190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.174567216 -0.388830124 +6185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.350634398 -0.388830124 +6187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.281581465 -0.388830124 +6191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.373173142 -0.388830124 +6192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.787798713 -0.388830124 +6194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.640211185 -0.388830124 +6193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.787686608 -0.388830124 +6197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.042762198 -0.388830124 +6198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.034639619 -0.388830124 +6196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.363247878 -0.388830124 +6199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.41114802 -0.388830124 +6195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.667148265 -0.388830124 +6200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.677295429 -0.388830124 +6202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.781164451 -0.388830124 +6205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.019893317 -0.388830124 +6203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.384150105 -0.388830124 +6204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.164574538 -0.388830124 +6206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.065372685 -0.388830124 +6201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.2897556 -0.388830124 +6207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.520645205 -0.388830124 +6208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.356968356 -0.388830124 +6209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.683492622 -0.388830124 +6210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.414171135 -0.388830124 +6212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.034453375 -0.388830124 +6213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.273497223 -0.388830124 +6214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.397223252 -0.388830124 +6211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.143947489 -0.388830124 +6216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.689937195 -0.388830124 +6219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.001483624 -0.388830124 +6218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.649855176 -0.388830124 +6217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.379084133 -0.388830124 +6222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.396416275 -0.388830124 +6220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.557164694 -0.388830124 +6221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.621548278 -0.388830124 +6215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.475404497 -0.388830124 +6223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.304279444 -0.388830124 +6225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.52098815 -0.388830124 +6229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.551068717 -0.388830124 +6226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.551620568 -0.388830124 +6228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.576571296 -0.388830124 +6224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.473880267 -0.388830124 +6230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.538446197 -0.388830124 +6227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.26301739 -0.388830124 +6231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.030878655 -0.388830124 +6232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.196066519 -0.388830124 +6234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.23186104 -0.388830124 +6235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.638311288 -0.388830124 +6233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.486660654 -0.388830124 +6236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.628630066 -0.388830124 +6237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.470589921 -0.388830124 +6238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.585330787 -0.388830124 +6240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.177111731 -0.388830124 +6239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.695420884 -0.388830124 +6241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.324870816 -0.388830124 +6242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.688216391 -0.388830124 +6243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.572892797 -0.388830124 +6246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.351404268 -0.388830124 +6244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.586895941 -0.388830124 +6245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.368286911 -0.388830124 +6247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.457091887 -0.388830124 +6248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.529983368 -0.388830124 +6249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.738467545 -0.388830124 +6250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.135067402 -0.388830124 +6251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.03389467 -0.388830124 +6252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.316419911 -0.388830124 +6253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.450713084 -0.388830124 +6255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.640321173 -0.388830124 +6258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.159829925 -0.388830124 +6257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.155690893 -0.388830124 +6254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.494435158 -0.388830124 +6256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.646606996 -0.388830124 +6260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.310798263 -0.388830124 +6259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.486374109 -0.388830124 +6262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.090457844 -0.388830124 +6261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.782726134 -0.388830124 +6263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.588943899 -0.388830124 +6264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.139322389 -0.388830124 +6265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.218319616 -0.388830124 +6266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.532696672 -0.388830124 +6268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.529972449 -0.388830124 +6267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.090972475 -0.388830124 +6270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.125480917 -0.388830124 +6269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.08410896 -0.388830124 +6271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.883148516 -0.388830124 +6272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.022634166 -0.388830124 +6274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.762635152 -0.388830124 +6275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.692016017 -0.388830124 +6276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.468644908 -0.388830124 +6273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.215404036 -0.388830124 +6277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.077586605 -0.388830124 +6278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.731221874 -0.388830124 +6279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.142628042 -0.388830124 +6280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.012785554 -0.388830124 +6282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.529412887 -0.388830124 +6283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.237110813 -0.388830124 +6281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.216423628 -0.388830124 +6284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.199937893 -0.388830124 +6286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.117004705 -0.388830124 +6287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.004191633 -0.388830124 +6288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.026573946 -0.388830124 +6285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.042850038 -0.388830124 +6289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.443912141 -0.388830124 +6290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.256453797 -0.388830124 +6291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.577582307 -0.388830124 +6293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.481601577 -0.388830124 +6294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.549879959 -0.388830124 +6296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.019555551 -0.388830124 +6292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.781314532 -0.388830124 +6295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.158800445 -0.388830124 +6297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.616019157 -0.388830124 +6298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.746500354 -0.388830124 +6300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.055293828 -0.388830124 +6299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.791538337 -0.388830124 +6301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.083551243 -0.388830124 +6302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.397231228 -0.388830124 +6303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.095031505 -0.388830124 +6304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.051776474 -0.388830124 +6306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.645616967 -0.388830124 +6305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.052959461 -0.388830124 +6307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.065550525 -0.388830124 +6308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.31206408 -0.388830124 +6309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.799050034 -0.388830124 +6310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.445796892 -0.388830124 +6312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.10603153 -0.388830124 +6313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.098792911 -0.388830124 +6314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.680587369 -0.388830124 +6311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.394946937 -0.388830124 +6316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.032032956 -0.388830124 +6317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.61607445 -0.388830124 +6315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.825088027 -0.388830124 +6319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.023870114 -0.388830124 +6318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.072547279 -0.388830124 +6320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.439620537 -0.388830124 +6321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.198159934 -0.388830124 +6324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.679540459 -0.388830124 +6323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.120897245 -0.388830124 +6322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.620754574 -0.388830124 +6325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.626351948 -0.388830124 +6326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.300432976 -0.388830124 +6327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.598625464 -0.388830124 +6328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.103963852 -0.388830124 +6329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.569488506 -0.388830124 +6331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.445733323 -0.388830124 +6333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.684569567 -0.388830124 +6330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.437876223 -0.388830124 +6335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.755987338 -0.388830124 +6334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.118339208 -0.388830124 +6332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.823789423 -0.388830124 +6336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.074376584 -0.388830124 +6337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.584463031 -0.388830124 +6338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.495810994 -0.388830124 +6339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.379228559 -0.388830124 +6340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.660632061 -0.388830124 +6341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.134029694 -0.388830124 +6342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.650044483 -0.388830124 +6343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.430595246 -0.388830124 +6344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.142751741 -0.388830124 +6345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.530480711 -0.388830124 +6346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.392814983 -0.388830124 +6348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.415830641 -0.388830124 +6349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.078838809 -0.388830124 +6347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.519949701 -0.388830124 +6350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.058456206 -0.388830124 +6351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.042126191 -0.388830124 +6352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.119976555 -0.388830124 +6353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.65109785 -0.388830124 +6354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.603332802 -0.388830124 +6355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.094443754 -0.388830124 +6356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.373691398 -0.388830124 +6358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.744156753 -0.388830124 +6357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.374752739 -0.388830124 +6360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.754789211 -0.388830124 +6361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.530396775 -0.388830124 +6359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.666574337 -0.388830124 +6362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.38199563 -0.388830124 +6365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.214234912 -0.388830124 +6363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.701176735 -0.388830124 +6366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.094692774 -0.388830124 +6364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.154662678 -0.388830124 +6368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.427952993 -0.388830124 +6367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.504877041 -0.388830124 +6369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.162660941 -0.388830124 +6370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.004779103 -0.388830124 +6371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.742579214 -0.388830124 +6373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.076695573 -0.388830124 +6372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.151061164 -0.388830124 +6374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.526371689 -0.388830124 +6375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.086242242 -0.388830124 +6376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.594565591 -0.388830124 +6378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.631339308 -0.388830124 +6381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.036057518 -0.388830124 +6379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.164794411 -0.388830124 +6380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.001342111 -0.388830124 +6377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.648024503 -0.388830124 +6382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.761560841 -0.388830124 +6383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.070106255 -0.388830124 +6384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.370590782 -0.388830124 +6385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.610615798 -0.388830124 +6386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.296845669 -0.388830124 +6388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.377785789 -0.388830124 +6387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.272688321 -0.388830124 +6390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.08968023 -0.388830124 +6389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.674116376 -0.388830124 +6391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.740227927 -0.388830124 +6392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.288856934 -0.388830124 +6393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.010329149 -0.388830124 +6394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.5959657 -0.388830124 +6395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.404862753 -0.388830124 +6396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.298107399 -0.388830124 +6397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.359968023 -0.388830124 +6398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.726480407 -0.388830124 +6399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.62995557 -0.388830124 +6400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.234737198 -0.388830124 +6401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.505117413 -0.388830124 +6404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.441829261 -0.388830124 +6402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.438309155 -0.388830124 +6405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.555737843 -0.388830124 +6403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.670318353 -0.388830124 +6406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.346498305 -0.388830124 +6408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.533696693 -0.388830124 +6407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.716579991 -0.388830124 +6409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.356179198 -0.388830124 +6412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.759557077 -0.388830124 +6411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.523456758 -0.388830124 +6410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.430711222 -0.388830124 +6413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.47383229 -0.388830124 +6414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.065726348 -0.388830124 +6415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.733588962 -0.388830124 +6416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.793643369 -0.388830124 +6417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.088536235 -0.388830124 +6418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.540179517 -0.388830124 +6419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.274927462 -0.388830124 +6420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.708444247 -0.388830124 +6421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.782191607 -0.388830124 +6422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.02153766 -0.388830124 +6423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.098726495 -0.388830124 +6424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.148201312 -0.388830124 +6425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.47361389 -0.388830124 +6426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.477052864 -0.388830124 +6427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.048120011 -0.388830124 +6428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.426036285 -0.388830124 +6429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.092423491 -0.388830124 +6431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.030009332 -0.388830124 +6432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.475389719 -0.388830124 +6430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.013229595 -0.388830124 +6433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.431422787 -0.388830124 +6434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.167617348 -0.388830124 +6435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.308669296 -0.388830124 +6436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.555003568 -0.388830124 +6437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.562293878 -0.388830124 +6438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.21595152 -0.388830124 +6439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.57128703 -0.388830124 +6440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.520563403 -0.388830124 +6442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.536333842 -0.388830124 +6441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.322687435 -0.388830124 +6444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.635936142 -0.388830124 +6443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.695261904 -0.388830124 +6445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.811659329 -0.388830124 +6446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.119951061 -0.388830124 +6447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.370135975 -0.388830124 +6449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.419255338 -0.388830124 +6450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.289456059 -0.388830124 +6451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.57601544 -0.388830124 +6448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.122004667 -0.388830124 +6452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.492926598 -0.388830124 +6453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.803403648 -0.388830124 +6454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.257031021 -0.388830124 +6455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.069266674 -0.388830124 +6456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.677776231 -0.388830124 +6458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.037867689 -0.388830124 +6457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.174654553 -0.388830124 +6460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.760704805 -0.388830124 +6459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.644074005 -0.388830124 +6461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.620211041 -0.388830124 +6463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.337727684 -0.388830124 +6462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.0317157 -0.388830124 +6464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.679876968 -0.388830124 +6466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.157300232 -0.388830124 +6465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.650691006 -0.388830124 +6467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.676058273 -0.388830124 +6468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.049293115 -0.388830124 +6469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.549253288 -0.388830124 +6471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.768558642 -0.388830124 +6470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.004726885 -0.388830124 +6472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.750780785 -0.388830124 +6473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.807017197 -0.388830124 +6474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.255395225 -0.388830124 +6475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.319592938 -0.388830124 +6476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.112027372 -0.388830124 +6477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.466072172 -0.388830124 +6478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.63531582 -0.388830124 +6479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.295384304 -0.388830124 +6480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.4018535 -0.388830124 +6481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.093646333 -0.388830124 +6482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.3345048 -0.388830124 +6483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.132589943 -0.388830124 +6485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.002249549 -0.388830124 +6484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.488612916 -0.388830124 +6486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.570080379 -0.388830124 +6488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.643113607 -0.388830124 +6489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.539399805 -0.388830124 +6487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.340696299 -0.388830124 +6490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.059667708 -0.388830124 +6491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.614890539 -0.388830124 +6492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.257743167 -0.388830124 +6493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.236036507 -0.388830124 +6496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.111545273 -0.388830124 +6494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.750287509 -0.388830124 +6497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.353489924 -0.388830124 +6495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.069953987 -0.388830124 +6498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.657067658 -0.388830124 +6499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.142616437 -0.388830124 +6500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.377145874 -0.388830124 +6501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.030412558 -0.388830124 +6503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.334170263 -0.388830124 +6502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.266169097 -0.388830124 +6504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.721135772 -0.388830124 +6505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.044261282 -0.388830124 +6506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.751820343 -0.388830124 +6507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.160907432 -0.388830124 +6508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.015056468 -0.388830124 +6510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.143445429 -0.388830124 +6511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.115805214 -0.388830124 +6512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.649945465 -0.388830124 +6513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.109418042 -0.388830124 +6509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.092772466 -0.388830124 +6514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.544956134 -0.388830124 +6515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.060142746 -0.388830124 +6516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.552050176 -0.388830124 +6517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.551073732 -0.388830124 +6518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.485535553 -0.388830124 +6520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.588637365 -0.388830124 +6519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.251020443 -0.388830124 +6522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.464032218 -0.388830124 +6521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.292861179 -0.388830124 +6523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.211748118 -0.388830124 +6524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.166485041 -0.388830124 +6525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.626949648 -0.388830124 +6526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.658493388 -0.388830124 +6527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.311602343 -0.388830124 +6528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.503696879 -0.388830124 +6529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.106790006 -0.388830124 +6531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.509218802 -0.388830124 +6530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.695713019 -0.388830124 +6532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.388714973 -0.388830124 +6533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.064529006 -0.388830124 +6534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.408137623 -0.388830124 +6535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.009906571 -0.388830124 +6537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.048052978 -0.388830124 +6536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.675288577 -0.388830124 +6538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.185697077 -0.388830124 +6539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.303693169 -0.388830124 +6540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.393099081 -0.388830124 +6541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.100734431 -0.388830124 +6542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.770387321 -0.388830124 +6543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.691235514 -0.388830124 +6544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.039556495 -0.388830124 +6545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.789610612 -0.388830124 +6546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.082972346 -0.388830124 +6548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.730011158 -0.388830124 +6549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.331612877 -0.388830124 +6550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.45446424 -0.388830124 +6547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.573226833 -0.388830124 +6551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.611454721 -0.388830124 +6552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.377213817 -0.388830124 +6553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.587579029 -0.388830124 +6554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.638235028 -0.388830124 +6555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.254298262 -0.388830124 +6557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.034930037 -0.388830124 +6556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.270711183 -0.388830124 +6559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.275774306 -0.388830124 +6561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.421490699 -0.388830124 +6560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.102214992 -0.388830124 +6558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.167981256 -0.388830124 +6562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.035671813 -0.388830124 +6563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.529745184 -0.388830124 +6564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.755931731 -0.388830124 +6565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.371004746 -0.388830124 +6566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.665540287 -0.388830124 +6567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.708948904 -0.388830124 +6568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.712517421 -0.388830124 +6570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.102965962 -0.388830124 +6571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.483653171 -0.388830124 +6569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.435480233 -0.388830124 +6573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.334653756 -0.388830124 +6572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.506336895 -0.388830124 +6576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.610056945 -0.388830124 +6575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.673466249 -0.388830124 +6574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.675291369 -0.388830124 +6577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.698290416 -0.388830124 +6578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.379938582 -0.388830124 +6579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.582533216 -0.388830124 +6580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.545721812 -0.388830124 +6581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.747789998 -0.388830124 +6583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.030649219 -0.388830124 +6584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.083062283 -0.388830124 +6582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.176908015 -0.388830124 +6585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.754028706 -0.388830124 +6586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.616891018 -0.388830124 +6588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.119403709 -0.388830124 +6589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.772711032 -0.388830124 +6587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.075072974 -0.388830124 +6590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.533129259 -0.388830124 +6592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.659233797 -0.388830124 +6591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.043575607 -0.388830124 +6593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.726136751 -0.388830124 +6594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.37675284 -0.388830124 +6595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.220743804 -0.388830124 +6597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.340005116 -0.388830124 +6596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.445141381 -0.388830124 +6598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.315334328 -0.388830124 +6601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.413158188 -0.388830124 +6600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.134258596 -0.388830124 +6599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.383471813 -0.388830124 +6602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.584269534 -0.388830124 +6603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.078240411 -0.388830124 +6605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.388205696 -0.388830124 +6606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.064168654 -0.388830124 +6607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.264263036 -0.388830124 +6608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.163114688 -0.388830124 +6609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.599209066 -0.388830124 +6604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.509976878 -0.388830124 +6611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.745913203 -0.388830124 +6610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.269035961 -0.388830124 +6613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.128713795 -0.388830124 +6612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.140457658 -0.388830124 +6615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.054883089 -0.388830124 +6614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.709328811 -0.388830124 +6616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.252974395 -0.388830124 +6617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.721841719 -0.388830124 +6618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.352381847 -0.388830124 +6619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.744617838 -0.388830124 +6620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.670905889 -0.388830124 +6621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.344263053 -0.388830124 +6623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.003875744 -0.388830124 +6622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.716196074 -0.388830124 +6624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.109520937 -0.388830124 +6625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.16340162 -0.388830124 +6626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.688650244 -0.388830124 +6627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.185392826 -0.388830124 +6630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.405399318 -0.388830124 +6628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.509031621 -0.388830124 +6629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.699532744 -0.388830124 +6631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.634679832 -0.388830124 +6632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.929971169 -0.388830124 +6633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.553882599 -0.388830124 +6634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.40363706 -0.388830124 +6635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.169395219 -0.388830124 +6637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.403891611 -0.388830124 +6638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.244375538 -0.388830124 +6636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.516366329 -0.388830124 +6639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.044522683 -0.388830124 +6640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.459759245 -0.388830124 +6642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.788184167 -0.388830124 +6641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.633519978 -0.388830124 +6643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.133190506 -0.388830124 +6644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.663004385 -0.388830124 +6645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.338066005 -0.388830124 +6646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.784528119 -0.388830124 +6647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.605902761 -0.388830124 +6648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.1741324 -0.388830124 +6649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.119502451 -0.388830124 +6651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.5487352 -0.388830124 +6652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.04103611 -0.388830124 +6653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.301505924 -0.388830124 +6650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.090224388 -0.388830124 +6654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.320994355 -0.388830124 +6655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.864972589 -0.388830124 +6656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.558550304 -0.388830124 +6657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.354638106 -0.388830124 +6658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.201422307 -0.388830124 +6659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.157770523 -0.388830124 +6660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.183567705 -0.388830124 +6661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.541743731 -0.388830124 +6662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.455360668 -0.388830124 +6663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.613015106 -0.388830124 +6664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.203011397 -0.388830124 +6665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.869781089 -0.388830124 +6667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.017216525 -0.388830124 +6666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.541668195 -0.388830124 +6668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.542005239 -0.388830124 +6670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.27885583 -0.388830124 +6671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.429050183 -0.388830124 +6669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.533471254 -0.388830124 +6672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.161111163 -0.388830124 +6674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.450987231 -0.388830124 +6675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.021521219 -0.388830124 +6676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.793620385 -0.388830124 +6673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.638854355 -0.388830124 +6678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.475296052 -0.388830124 +6677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.306274341 -0.388830124 +6679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.663899944 -0.388830124 +6680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.22620041 -0.388830124 +6684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.375541841 -0.388830124 +6683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.459300197 -0.388830124 +6682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.233228533 -0.388830124 +6685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.567315999 -0.388830124 +6686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.257965396 -0.388830124 +6681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.711674842 -0.388830124 +6688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.071577739 -0.388830124 +6687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.41271344 -0.388830124 +6689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.708810864 -0.388830124 +6690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.771534422 -0.388830124 +6691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.025745349 -0.388830124 +6693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.718251338 -0.388830124 +6692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.494875935 -0.388830124 +6694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.413238748 -0.388830124 +6696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.602681605 -0.388830124 +6697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.031053013 -0.388830124 +6695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.522634094 -0.388830124 +6698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.524903704 -0.388830124 +6700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.390268616 -0.388830124 +6699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.550794152 -0.388830124 +6701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.448151286 -0.388830124 +6702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.009110252 -0.388830124 +6707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.69235107 -0.388830124 +6704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.086925944 -0.388830124 +6706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.95073613 -0.388830124 +6710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.611425441 -0.388830124 +6705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.194486255 -0.388830124 +6703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.038553088 -0.388830124 +6709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.677627043 -0.388830124 +6708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.514535756 -0.388830124 +6711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.805201919 -0.388830124 +6712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.695962559 -0.388830124 +6713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.239147018 -0.388830124 +6714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.551546037 -0.388830124 +6715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.582266843 -0.388830124 +6717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.802436321 -0.388830124 +6716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.767354048 -0.388830124 +6718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.180091142 -0.388830124 +6719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.452791495 -0.388830124 +6720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.425759028 -0.388830124 +6721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.808254134 -0.388830124 +6722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.321459315 -0.388830124 +6723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.635837791 -0.388830124 +6724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.251992094 -0.388830124 +6725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.404639035 -0.388830124 +6726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.156361988 -0.388830124 +6729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.446325835 -0.388830124 +6728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.708426605 -0.388830124 +6730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.755658494 -0.388830124 +6727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.293686261 -0.388830124 +6731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.180410227 -0.388830124 +6732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.170707732 -0.388830124 +6734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.376092705 -0.388830124 +6733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.065763042 -0.388830124 +6737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.671884316 -0.388830124 +6735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.687374889 -0.388830124 +6736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.132558864 -0.388830124 +6738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.510237325 -0.388830124 +6740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.646692461 -0.388830124 +6739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.477117986 -0.388830124 +6741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.57352814 -0.388830124 +6743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.695550419 -0.388830124 +6742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.303800106 -0.388830124 +6745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.158179885 -0.388830124 +6747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.421929782 -0.388830124 +6744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.593110091 -0.388830124 +6748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.49258071 -0.388830124 +6746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.049164761 -0.388830124 +6749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.222251635 -0.388830124 +6750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.161228207 -0.388830124 +6751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.188746734 -0.388830124 +6752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.331597566 -0.388830124 +6754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.47708696 -0.388830124 +6755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.774969076 -0.388830124 +6753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.246492843 -0.388830124 +6756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.373424333 -0.388830124 +6757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.424769764 -0.388830124 +6758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.706610511 -0.388830124 +6760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.677079005 -0.388830124 +6761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.005008299 -0.388830124 +6762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.031469681 -0.388830124 +6763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.310164895 -0.388830124 +6764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.590273117 -0.388830124 +6759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.429906525 -0.388830124 +6765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.302324212 -0.388830124 +6766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.79872861 -0.388830124 +6767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.094501569 -0.388830124 +6769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.651694417 -0.388830124 +6768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.254736329 -0.388830124 +6770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.422076425 -0.388830124 +6771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.726187741 -0.388830124 +6773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.071910818 -0.388830124 +6772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.277974781 -0.388830124 +6774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.100239376 -0.388830124 +6776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.083715263 -0.388830124 +6775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.103846908 -0.388830124 +6777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.026514825 -0.388830124 +6779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.151056364 -0.388830124 +6778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.312499715 -0.388830124 +6780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.678303834 -0.388830124 +6782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.756309453 -0.388830124 +6785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.117974532 -0.388830124 +6784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.048995322 -0.388830124 +6783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.738647014 -0.388830124 +6781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.222049457 -0.388830124 +6786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.72804178 -0.388830124 +6787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.206496188 -0.388830124 +6788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.421771559 -0.388830124 +6789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.02151325 -0.388830124 +6792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.467570786 -0.388830124 +6791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.575460104 -0.388830124 +6794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.203026338 -0.388830124 +6793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.443160232 -0.388830124 +6795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.247613366 -0.388830124 +6790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.170704306 -0.388830124 +6796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.751590632 -0.388830124 +6797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.693538153 -0.388830124 +6799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.782214121 -0.388830124 +6800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.411096368 -0.388830124 +6798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.368285028 -0.388830124 +6802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.464573006 -0.388830124 +6801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.202900662 -0.388830124 +6803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.706698316 -0.388830124 +6804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.550372294 -0.388830124 +6805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.263093172 -0.388830124 +6806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.493676299 -0.388830124 +6807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.374944553 -0.388830124 +6811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.601949746 -0.388830124 +6809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.143350111 -0.388830124 +6808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.548384125 -0.388830124 +6812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.588027084 -0.388830124 +6813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.079194032 -0.388830124 +6810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.539857557 -0.388830124 +6814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.739254571 -0.388830124 +6815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.512054398 -0.388830124 +6817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.144394449 -0.388830124 +6816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.342940095 -0.388830124 +6818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.259440836 -0.388830124 +6819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.118953118 -0.388830124 +6820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.267406019 -0.388830124 +6821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.294608486 -0.388830124 +6823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.411996069 -0.388830124 +6822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.137194329 -0.388830124 +6825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.70053075 -0.388830124 +6824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.78956725 -0.388830124 +6826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.504430828 -0.388830124 +6827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.706144398 -0.388830124 +6828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.405921411 -0.388830124 +6829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.00927662 -0.388830124 +6830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.011547924 -0.388830124 +6831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.613535851 -0.388830124 +6832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.695285669 -0.388830124 +6833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.174078885 -0.388830124 +6834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.154432018 -0.388830124 +6835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.256426859 -0.388830124 +6836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.011786478 -0.388830124 +6838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.634325989 -0.388830124 +6840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.394016335 -0.388830124 +6839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.019334183 -0.388830124 +6837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.37128142 -0.388830124 +6841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.73190001 -0.388830124 +6842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.260097408 -0.388830124 +6844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.317347883 -0.388830124 +6843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.15006989 -0.388830124 +6846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.186722296 -0.388830124 +6849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.067636137 -0.388830124 +6847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.385689431 -0.388830124 +6845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.048799736 -0.388830124 +6850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.65505007 -0.388830124 +6851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.312403047 -0.388830124 +6848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.343671497 -0.388830124 +6852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.142501287 -0.388830124 +6854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.09440036 -0.388830124 +6855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.186950021 -0.388830124 +6856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.196613869 -0.388830124 +6853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.517971555 -0.388830124 +6857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.073456775 -0.388830124 +6860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.767855577 -0.388830124 +6858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.566309483 -0.388830124 +6859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.815885969 -0.388830124 +6863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.682287948 -0.388830124 +6861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.333189291 -0.388830124 +6862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.7094868 -0.388830124 +6865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.522557275 -0.388830124 +6864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.292914318 -0.388830124 +6867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.319204966 -0.388830124 +6866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.226980292 -0.388830124 +6868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.518113986 -0.388830124 +6869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.333117388 -0.388830124 +6871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.357899717 -0.388830124 +6872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.68327184 -0.388830124 +6873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.354347006 -0.388830124 +6870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.311273495 -0.388830124 +6874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.373658233 -0.388830124 +6875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.792424094 -0.388830124 +6877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.632997329 -0.388830124 +6880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.173387746 -0.388830124 +6878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.197684773 -0.388830124 +6881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.600411696 -0.388830124 +6876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.289070911 -0.388830124 +6882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.327951894 -0.388830124 +6879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.278086607 -0.388830124 +6883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.452115672 -0.388830124 +6885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.630715476 -0.388830124 +6884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.121479545 -0.388830124 +6886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.604478191 -0.388830124 +6887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.692091829 -0.388830124 +6888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.376913165 -0.388830124 +6889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.041974851 -0.388830124 +6890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.170374466 -0.388830124 +6891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.153270344 -0.388830124 +6894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.1047538 -0.388830124 +6893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.766444732 -0.388830124 +6895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.6317703 -0.388830124 +6892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.672076587 -0.388830124 +6896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.574567547 -0.388830124 +6897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.01458433 -0.388830124 +6898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.074692121 -0.388830124 +6899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.09673668 -0.388830124 +6901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.315140025 -0.388830124 +6900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.03709596 -0.388830124 +6903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.161211241 -0.388830124 +6905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.12954951 -0.388830124 +6902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.311629721 -0.388830124 +6904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.711510108 -0.388830124 +6906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.250525689 -0.388830124 +6907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.37460563 -0.388830124 +6909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.117122216 -0.388830124 +6908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.688040058 -0.388830124 +6910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.314449616 -0.388830124 +6912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.612962494 -0.388830124 +6914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.469010858 -0.388830124 +6915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.399616985 -0.388830124 +6911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.532641753 -0.388830124 +6913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.519641166 -0.388830124 +6916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.400243962 -0.388830124 +6917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.488300997 -0.388830124 +6918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.231207013 -0.388830124 +6919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.307907089 -0.388830124 +6920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.553567853 -0.388830124 +6922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.67206747 -0.388830124 +6923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.02438968 -0.388830124 +6921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.396810778 -0.388830124 +6924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.142526546 -0.388830124 +6925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.112713627 -0.388830124 +6926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.416817568 -0.388830124 +6927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.725406301 -0.388830124 +6928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.612916523 -0.388830124 +6929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.001923099 -0.388830124 +6930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.224052681 -0.388830124 +6931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.1744179 -0.388830124 +6933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.375849525 -0.388830124 +6932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.150519046 -0.388830124 +6934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.557757819 -0.388830124 +6935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.529466541 -0.388830124 +6936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.683532119 -0.388830124 +6937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.061421835 -0.388830124 +6939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.462908492 -0.388830124 +6938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.528405461 -0.388830124 +6940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.013711675 -0.388830124 +6941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.195285748 -0.388830124 +6942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.060053638 -0.388830124 +6944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.621940658 -0.388830124 +6943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.094562133 -0.388830124 +6945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.440141425 -0.388830124 +6946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.094051638 -0.388830124 +6947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.235045407 -0.388830124 +6948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.363153319 -0.388830124 +6949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.655763274 -0.388830124 +6950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.312356958 -0.388830124 +6951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.040982006 -0.388830124 +6952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.079183519 -0.388830124 +6953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.772121868 -0.388830124 +6954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.429370498 -0.388830124 +6956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.614659047 -0.388830124 +6958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.610293049 -0.388830124 +6957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.794623958 -0.388830124 +6955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.437020786 -0.388830124 +6959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.459298441 -0.388830124 +6960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.439093661 -0.388830124 +6961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.830574734 -0.388830124 +6962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.166486192 -0.388830124 +6963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.407421835 -0.388830124 +6965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.739823009 -0.388830124 +6964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.220067601 -0.388830124 +6966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.371812971 -0.388830124 +6967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.576656058 -0.388830124 +6968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.070691337 -0.388830124 +6969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.236022879 -0.388830124 +6971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.661451228 -0.388830124 +6970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.33156653 -0.388830124 +6972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.227211016 -0.388830124 +6973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.066963908 -0.388830124 +6975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.443294768 -0.388830124 +6976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.794146556 -0.388830124 +6977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.71845805 -0.388830124 +6974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.633513469 -0.388830124 +6979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.609019258 -0.388830124 +6978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.308909736 -0.388830124 +6980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.585486756 -0.388830124 +6981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.653266423 -0.388830124 +6982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.11463782 -0.388830124 +6983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.26619456 -0.388830124 +6984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 0.055114163 -0.388830124 +6985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.035591391 -0.388830124 +6986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.168198617 -0.388830124 +6987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.94425694 -0.388830124 +6988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.083318137 -0.388830124 +6989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.761830638 -0.388830124 +6990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.486804729 -0.388830124 +6991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.178623834 -0.388830124 +6992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.355365184 -0.388830124 +6993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.456879285 -0.388830124 +6994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.031629287 -0.388830124 +6995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.356509972 -0.388830124 +6996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.438699458 -0.388830124 +6997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.234845042 -0.388830124 +6998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.375831321 -0.388830124 +6999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.739496303 -0.388830124 +7000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.7 10 1 -0.276395295 -0.388830124 +7002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.090114639 -0.384236446 +7001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.557176127 -0.384236446 +7004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.774444126 -0.384236446 +7003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.599303167 -0.384236446 +7006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.411741908 -0.384236446 +7005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.01023554 -0.384236446 +7007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.737453457 -0.384236446 +7008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.347919498 -0.384236446 +7009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.622443248 -0.384236446 +7010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.090667355 -0.384236446 +7012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.227630801 -0.384236446 +7011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.791379739 -0.384236446 +7013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.441205322 -0.384236446 +7014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.664913768 -0.384236446 +7015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.222472769 -0.384236446 +7016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.813304108 -0.384236446 +7017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.34071116 -0.384236446 +7018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.347198544 -0.384236446 +7019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.570459364 -0.384236446 +7020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.426602308 -0.384236446 +7021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.584611946 -0.384236446 +7022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.496189573 -0.384236446 +7023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.466814836 -0.384236446 +7024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.516994154 -0.384236446 +7025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.281359028 -0.384236446 +7027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.507960803 -0.384236446 +7028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.083659638 -0.384236446 +7029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.446775383 -0.384236446 +7031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.166128853 -0.384236446 +7032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.414167622 -0.384236446 +7030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.150503389 -0.384236446 +7033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.594040448 -0.384236446 +7026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.585588665 -0.384236446 +7034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.376597368 -0.384236446 +7036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.1414732 -0.384236446 +7037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.564811819 -0.384236446 +7038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.506638289 -0.384236446 +7039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.183595668 -0.384236446 +7040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.145084144 -0.384236446 +7035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.218387542 -0.384236446 +7041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.623042679 -0.384236446 +7042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.5516488 -0.384236446 +7043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.294847919 -0.384236446 +7044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.717109786 -0.384236446 +7046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.326664564 -0.384236446 +7047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.682832643 -0.384236446 +7048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.073976815 -0.384236446 +7045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.067492616 -0.384236446 +7050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.668066595 -0.384236446 +7051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.553227311 -0.384236446 +7052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.405585468 -0.384236446 +7049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.734245006 -0.384236446 +7053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.094987613 -0.384236446 +7054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.233025015 -0.384236446 +7056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.473988882 -0.384236446 +7055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.352835142 -0.384236446 +7057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.609178111 -0.384236446 +7059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.21718358 -0.384236446 +7058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.16982544 -0.384236446 +7060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.280924192 -0.384236446 +7061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.50470745 -0.384236446 +7062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.549836187 -0.384236446 +7063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.414418378 -0.384236446 +7064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.650081554 -0.384236446 +7065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.378653934 -0.384236446 +7066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.217443095 -0.384236446 +7068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.729433493 -0.384236446 +7067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.38745147 -0.384236446 +7070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.032514411 -0.384236446 +7069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.231386553 -0.384236446 +7071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.266307087 -0.384236446 +7072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.128215503 -0.384236446 +7073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.001873276 -0.384236446 +7074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.278501738 -0.384236446 +7076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.414264454 -0.384236446 +7078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.443270267 -0.384236446 +7077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.569361206 -0.384236446 +7079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.081263833 -0.384236446 +7081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.25155065 -0.384236446 +7080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.520019781 -0.384236446 +7075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.216852202 -0.384236446 +7082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.22338541 -0.384236446 +7083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.536679816 -0.384236446 +7084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.791726966 -0.384236446 +7085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.206236917 -0.384236446 +7087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.112457038 -0.384236446 +7088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.567792486 -0.384236446 +7086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.267824597 -0.384236446 +7089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.426104033 -0.384236446 +7090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.573782134 -0.384236446 +7091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.042498127 -0.384236446 +7092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.396272768 -0.384236446 +7094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.321430534 -0.384236446 +7093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.228567303 -0.384236446 +7096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.777923022 -0.384236446 +7095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.706507378 -0.384236446 +7098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.018688192 -0.384236446 +7100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.219354333 -0.384236446 +7097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.713381789 -0.384236446 +7099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.737385892 -0.384236446 +7101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.597881388 -0.384236446 +7102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.06481406 -0.384236446 +7104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.516236308 -0.384236446 +7103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.054161822 -0.384236446 +7105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.308281075 -0.384236446 +7107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.596880843 -0.384236446 +7106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.212314803 -0.384236446 +7109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.498580231 -0.384236446 +7110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.145415461 -0.384236446 +7108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.782414811 -0.384236446 +7111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.604469094 -0.384236446 +7113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.292868052 -0.384236446 +7115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.028663786 -0.384236446 +7112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.779636267 -0.384236446 +7117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.299100426 -0.384236446 +7114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.180468876 -0.384236446 +7116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.233660101 -0.384236446 +7118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.205945585 -0.384236446 +7119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.650969087 -0.384236446 +7120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.720888659 -0.384236446 +7121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.595077119 -0.384236446 +7122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.131854355 -0.384236446 +7123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.32753266 -0.384236446 +7125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.166734098 -0.384236446 +7126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.745481384 -0.384236446 +7127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.504000613 -0.384236446 +7128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.532129058 -0.384236446 +7124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.193157944 -0.384236446 +7130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.718881408 -0.384236446 +7129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.724429508 -0.384236446 +7132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.543512914 -0.384236446 +7133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.699889984 -0.384236446 +7134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.725018316 -0.384236446 +7131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.157292099 -0.384236446 +7135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.047658713 -0.384236446 +7136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.107572439 -0.384236446 +7137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.435495044 -0.384236446 +7138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.183895066 -0.384236446 +7139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.318078619 -0.384236446 +7140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.668273364 -0.384236446 +7141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.627170458 -0.384236446 +7142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.092515397 -0.384236446 +7143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.374605371 -0.384236446 +7145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.307374768 -0.384236446 +7144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.634560092 -0.384236446 +7147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.7274717 -0.384236446 +7146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.415304401 -0.384236446 +7148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.171619653 -0.384236446 +7151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.164042293 -0.384236446 +7152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.523026519 -0.384236446 +7150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.089331891 -0.384236446 +7154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.694269611 -0.384236446 +7153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.813949115 -0.384236446 +7149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.00128137 -0.384236446 +7155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.169679046 -0.384236446 +7156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.535142446 -0.384236446 +7158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.340979615 -0.384236446 +7157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.080795206 -0.384236446 +7159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.770848362 -0.384236446 +7160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.290675435 -0.384236446 +7163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.453386406 -0.384236446 +7162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.468933091 -0.384236446 +7167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.13144576 -0.384236446 +7161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.051581828 -0.384236446 +7166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.484311181 -0.384236446 +7168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.126870681 -0.384236446 +7164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.462225719 -0.384236446 +7165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.315106376 -0.384236446 +7169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.521907363 -0.384236446 +7170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.435872483 -0.384236446 +7173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.104878462 -0.384236446 +7171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.644414288 -0.384236446 +7172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.334599298 -0.384236446 +7174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.597992278 -0.384236446 +7175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.383894417 -0.384236446 +7176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.790111146 -0.384236446 +7177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.725402734 -0.384236446 +7178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.298724523 -0.384236446 +7179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.653514137 -0.384236446 +7180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.462661829 -0.384236446 +7183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.107783961 -0.384236446 +7182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.362957117 -0.384236446 +7185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.132790739 -0.384236446 +7184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.283707352 -0.384236446 +7181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.736028844 -0.384236446 +7187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.326635941 -0.384236446 +7186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.470538535 -0.384236446 +7188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.513198855 -0.384236446 +7192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.445968919 -0.384236446 +7191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.606355828 -0.384236446 +7190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.707683184 -0.384236446 +7189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.268456101 -0.384236446 +7194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.444439801 -0.384236446 +7195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.105012453 -0.384236446 +7196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.06079882 -0.384236446 +7197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.440207398 -0.384236446 +7193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.210402676 -0.384236446 +7198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.607101252 -0.384236446 +7200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.772967859 -0.384236446 +7199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.307170849 -0.384236446 +7202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.199733391 -0.384236446 +7203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.352537558 -0.384236446 +7201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.005425524 -0.384236446 +7204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.008175765 -0.384236446 +7207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.50916144 -0.384236446 +7208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.010046345 -0.384236446 +7206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.545170151 -0.384236446 +7205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.70739232 -0.384236446 +7211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.691325841 -0.384236446 +7212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.840061063 -0.384236446 +7213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.673973878 -0.384236446 +7214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.237526179 -0.384236446 +7215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.666502921 -0.384236446 +7216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.15558312 -0.384236446 +7209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.758294268 -0.384236446 +7210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.42850285 -0.384236446 +7217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.344648317 -0.384236446 +7219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.358388267 -0.384236446 +7220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.492757056 -0.384236446 +7221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.572097935 -0.384236446 +7218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.620197855 -0.384236446 +7223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.338236463 -0.384236446 +7224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.002246948 -0.384236446 +7222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.238123015 -0.384236446 +7226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.49940462 -0.384236446 +7225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.54058826 -0.384236446 +7228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.760741401 -0.384236446 +7229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.361300727 -0.384236446 +7230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.39053301 -0.384236446 +7231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.848695453 -0.384236446 +7227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.569839299 -0.384236446 +7233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.156108802 -0.384236446 +7232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.643038726 -0.384236446 +7234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.173842528 -0.384236446 +7236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.924519808 -0.384236446 +7235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.479000702 -0.384236446 +7237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.250515871 -0.384236446 +7238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.099885733 -0.384236446 +7239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.124928577 -0.384236446 +7242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.287020796 -0.384236446 +7244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.194114661 -0.384236446 +7245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.216829348 -0.384236446 +7240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.058873217 -0.384236446 +7246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.737526753 -0.384236446 +7243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.207093413 -0.384236446 +7247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.077873737 -0.384236446 +7241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.325323147 -0.384236446 +7248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.084528351 -0.384236446 +7251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.471803677 -0.384236446 +7252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.065149854 -0.384236446 +7250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.50701218 -0.384236446 +7249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.431072892 -0.384236446 +7253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.172817241 -0.384236446 +7254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.029253978 -0.384236446 +7255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.301043103 -0.384236446 +7256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.270367111 -0.384236446 +7260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.086359666 -0.384236446 +7259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.856164512 -0.384236446 +7257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.098833344 -0.384236446 +7258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.583997985 -0.384236446 +7261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.039554684 -0.384236446 +7262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.023531271 -0.384236446 +7263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.588778478 -0.384236446 +7264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.717998265 -0.384236446 +7265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.348329025 -0.384236446 +7267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.324368059 -0.384236446 +7266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.286456493 -0.384236446 +7268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.59310593 -0.384236446 +7269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.289255722 -0.384236446 +7271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.103581115 -0.384236446 +7270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.499582652 -0.384236446 +7274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.723982401 -0.384236446 +7272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.247605901 -0.384236446 +7273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.738556516 -0.384236446 +7275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.253098552 -0.384236446 +7276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.36274006 -0.384236446 +7281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.627219872 -0.384236446 +7282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.350844343 -0.384236446 +7278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.066408292 -0.384236446 +7277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.352296634 -0.384236446 +7279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.159372128 -0.384236446 +7280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.047099122 -0.384236446 +7283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.471601446 -0.384236446 +7284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.304776899 -0.384236446 +7285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.339739388 -0.384236446 +7290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.233702915 -0.384236446 +7287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.803339393 -0.384236446 +7286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.520630119 -0.384236446 +7292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.068137485 -0.384236446 +7288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.521626484 -0.384236446 +7291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.471074912 -0.384236446 +7289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.056972509 -0.384236446 +7295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.115650561 -0.384236446 +7293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.600973116 -0.384236446 +7296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.496562541 -0.384236446 +7298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.094860036 -0.384236446 +7299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.717304652 -0.384236446 +7294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.661375025 -0.384236446 +7297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.883869185 -0.384236446 +7300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.145229439 -0.384236446 +7304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.687277689 -0.384236446 +7303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.005381181 -0.384236446 +7302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.336149932 -0.384236446 +7306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.812850852 -0.384236446 +7301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.274857 -0.384236446 +7307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.744070567 -0.384236446 +7305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.785794493 -0.384236446 +7308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.722365614 -0.384236446 +7311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.883020803 -0.384236446 +7312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.729138024 -0.384236446 +7313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.458575383 -0.384236446 +7310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.664733475 -0.384236446 +7314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.633192017 -0.384236446 +7309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.625945775 -0.384236446 +7315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.78134416 -0.384236446 +7316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.160255839 -0.384236446 +7317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.635638697 -0.384236446 +7318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.591756158 -0.384236446 +7320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.546253561 -0.384236446 +7323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.224869889 -0.384236446 +7322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.118972563 -0.384236446 +7321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.750554019 -0.384236446 +7324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.301861389 -0.384236446 +7319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.600489704 -0.384236446 +7325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.011836366 -0.384236446 +7326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.068694959 -0.384236446 +7327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.68242273 -0.384236446 +7330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.545188253 -0.384236446 +7329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.559003712 -0.384236446 +7331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.146637586 -0.384236446 +7328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.531706598 -0.384236446 +7332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.378795581 -0.384236446 +7333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.073691563 -0.384236446 +7335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.078194004 -0.384236446 +7334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.120611013 -0.384236446 +7336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.365331034 -0.384236446 +7337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.608136112 -0.384236446 +7338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.659400074 -0.384236446 +7339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.488011632 -0.384236446 +7341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.139481713 -0.384236446 +7342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.456564175 -0.384236446 +7344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.555062472 -0.384236446 +7343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.654038414 -0.384236446 +7340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.720164281 -0.384236446 +7347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.039439335 -0.384236446 +7345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.004928895 -0.384236446 +7346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.201326322 -0.384236446 +7348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.025909033 -0.384236446 +7349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.205838681 -0.384236446 +7350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.293746785 -0.384236446 +7351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.368460473 -0.384236446 +7352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.67894861 -0.384236446 +7354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.398770647 -0.384236446 +7356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.593357886 -0.384236446 +7357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.555437714 -0.384236446 +7355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.700962897 -0.384236446 +7353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.350267382 -0.384236446 +7358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.091571335 -0.384236446 +7359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.439703278 -0.384236446 +7360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.565400997 -0.384236446 +7361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.047588639 -0.384236446 +7362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.715716864 -0.384236446 +7363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.29187899 -0.384236446 +7364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.213353388 -0.384236446 +7365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.042652376 -0.384236446 +7367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.272634122 -0.384236446 +7366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.024054383 -0.384236446 +7368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.297076769 -0.384236446 +7369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.188318108 -0.384236446 +7370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.3272377 -0.384236446 +7373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.496853343 -0.384236446 +7371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.656059012 -0.384236446 +7372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.485219729 -0.384236446 +7374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.046949047 -0.384236446 +7378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.064481808 -0.384236446 +7377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.50943216 -0.384236446 +7379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.329577797 -0.384236446 +7380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.518854976 -0.384236446 +7376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.779071511 -0.384236446 +7381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.750078205 -0.384236446 +7382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.627045164 -0.384236446 +7375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.181551065 -0.384236446 +7384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.087683178 -0.384236446 +7390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.009235644 -0.384236446 +7389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.730915952 -0.384236446 +7383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.146157338 -0.384236446 +7386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.805363109 -0.384236446 +7387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.483654047 -0.384236446 +7385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.67995375 -0.384236446 +7388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.648614787 -0.384236446 +7391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.621751299 -0.384236446 +7392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.734916114 -0.384236446 +7393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.19841876 -0.384236446 +7394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.136892874 -0.384236446 +7395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.2973574 -0.384236446 +7397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.40746348 -0.384236446 +7396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.634952694 -0.384236446 +7398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.339948116 -0.384236446 +7399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.137424435 -0.384236446 +7401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.10038519 -0.384236446 +7403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.055066197 -0.384236446 +7402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.388189075 -0.384236446 +7400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.567982161 -0.384236446 +7404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.267316957 -0.384236446 +7406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.29261029 -0.384236446 +7405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.045409154 -0.384236446 +7407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.469882699 -0.384236446 +7408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.158378157 -0.384236446 +7410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.321713193 -0.384236446 +7411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.13062264 -0.384236446 +7412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.396889659 -0.384236446 +7409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.186627144 -0.384236446 +7413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.546147802 -0.384236446 +7414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.669634914 -0.384236446 +7415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.688523 -0.384236446 +7416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.54278794 -0.384236446 +7417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.385648948 -0.384236446 +7419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.486322132 -0.384236446 +7418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.589005694 -0.384236446 +7420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.398342199 -0.384236446 +7421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.827562408 -0.384236446 +7425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.461353445 -0.384236446 +7426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.306919459 -0.384236446 +7423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.635867214 -0.384236446 +7424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.452099212 -0.384236446 +7427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.338454599 -0.384236446 +7428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.018401162 -0.384236446 +7422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.750222927 -0.384236446 +7429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.54214441 -0.384236446 +7431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.474859622 -0.384236446 +7430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.360428955 -0.384236446 +7432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.753021901 -0.384236446 +7433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.252170939 -0.384236446 +7434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.427959141 -0.384236446 +7435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.560101241 -0.384236446 +7436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.340400169 -0.384236446 +7437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.380235066 -0.384236446 +7440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.42870803 -0.384236446 +7438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.746581483 -0.384236446 +7441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.363663096 -0.384236446 +7443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.15788798 -0.384236446 +7439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.140039468 -0.384236446 +7442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.695416207 -0.384236446 +7445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.525932154 -0.384236446 +7447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.561526552 -0.384236446 +7446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.675491951 -0.384236446 +7444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.478531233 -0.384236446 +7449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.356605175 -0.384236446 +7450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.346708259 -0.384236446 +7448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.436566454 -0.384236446 +7451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.866528196 -0.384236446 +7453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.792086728 -0.384236446 +7454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.068258839 -0.384236446 +7452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.29809987 -0.384236446 +7456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.266379302 -0.384236446 +7457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.252613116 -0.384236446 +7455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.440093982 -0.384236446 +7458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.123797044 -0.384236446 +7459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.392940451 -0.384236446 +7462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.114952653 -0.384236446 +7463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.412639582 -0.384236446 +7461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.470335383 -0.384236446 +7460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.039129048 -0.384236446 +7464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.7126526 -0.384236446 +7466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.711410517 -0.384236446 +7465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.361238091 -0.384236446 +7467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.716307615 -0.384236446 +7469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.486583199 -0.384236446 +7470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.039982625 -0.384236446 +7471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.205653084 -0.384236446 +7472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.1208097 -0.384236446 +7468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.239916079 -0.384236446 +7474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.399835736 -0.384236446 +7475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.065657908 -0.384236446 +7473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.085921727 -0.384236446 +7476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.353257315 -0.384236446 +7477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.336818018 -0.384236446 +7478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.117610365 -0.384236446 +7479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.81024613 -0.384236446 +7480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.343284267 -0.384236446 +7482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.598862203 -0.384236446 +7483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.016701429 -0.384236446 +7485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.037261635 -0.384236446 +7481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.182687066 -0.384236446 +7487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.34563833 -0.384236446 +7486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.621380353 -0.384236446 +7484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.113801989 -0.384236446 +7488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.093798855 -0.384236446 +7489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.599292494 -0.384236446 +7490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.141122545 -0.384236446 +7491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.418597942 -0.384236446 +7492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.278948907 -0.384236446 +7493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.471766507 -0.384236446 +7494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.484975438 -0.384236446 +7495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.065915827 -0.384236446 +7496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.686840745 -0.384236446 +7497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.012302328 -0.384236446 +7499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.430072001 -0.384236446 +7498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.689999682 -0.384236446 +7501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.6813015 -0.384236446 +7502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.397534551 -0.384236446 +7500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.360022307 -0.384236446 +7504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.09377923 -0.384236446 +7503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.050508183 -0.384236446 +7505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.75093187 -0.384236446 +7506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.42544355 -0.384236446 +7507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.004766435 -0.384236446 +7508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.428081897 -0.384236446 +7509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.205472438 -0.384236446 +7511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.630275263 -0.384236446 +7510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.190112051 -0.384236446 +7512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.33014119 -0.384236446 +7513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.124935979 -0.384236446 +7514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.450292559 -0.384236446 +7515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.798072831 -0.384236446 +7517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.323643511 -0.384236446 +7516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.641870939 -0.384236446 +7518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.077817261 -0.384236446 +7520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.159475928 -0.384236446 +7519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.4677975 -0.384236446 +7521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.487958413 -0.384236446 +7523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.68007702 -0.384236446 +7525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.573995664 -0.384236446 +7524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.347479419 -0.384236446 +7522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.606379735 -0.384236446 +7526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.306964356 -0.384236446 +7527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.820156963 -0.384236446 +7529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.115389751 -0.384236446 +7528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.264653017 -0.384236446 +7530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.566643521 -0.384236446 +7531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.646168441 -0.384236446 +7532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.724707156 -0.384236446 +7534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.590769746 -0.384236446 +7533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.595326458 -0.384236446 +7535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.612342907 -0.384236446 +7536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.747768066 -0.384236446 +7538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.13330351 -0.384236446 +7539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.209853109 -0.384236446 +7541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.770869567 -0.384236446 +7542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.175156057 -0.384236446 +7540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.111162295 -0.384236446 +7537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.30190042 -0.384236446 +7543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.126779583 -0.384236446 +7544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.597698027 -0.384236446 +7545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.541126417 -0.384236446 +7546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.722270115 -0.384236446 +7548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.421381139 -0.384236446 +7549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.252177376 -0.384236446 +7547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.257483627 -0.384236446 +7551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.827370865 -0.384236446 +7550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.291238806 -0.384236446 +7552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.550595051 -0.384236446 +7554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.488332139 -0.384236446 +7553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.635725367 -0.384236446 +7557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.795474236 -0.384236446 +7556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.196752958 -0.384236446 +7555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.024522819 -0.384236446 +7558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.357740904 -0.384236446 +7560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.706067224 -0.384236446 +7559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.205360765 -0.384236446 +7561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.190880601 -0.384236446 +7562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.009023681 -0.384236446 +7564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.135552202 -0.384236446 +7563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.277968268 -0.384236446 +7565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.268196012 -0.384236446 +7566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.42065492 -0.384236446 +7567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.758871023 -0.384236446 +7568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.710955315 -0.384236446 +7570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.644894722 -0.384236446 +7571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.190535346 -0.384236446 +7572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.534997626 -0.384236446 +7573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.448091008 -0.384236446 +7569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.414245431 -0.384236446 +7574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.606345853 -0.384236446 +7575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.042963697 -0.384236446 +7581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.330709261 -0.384236446 +7579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.65177756 -0.384236446 +7577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.385624248 -0.384236446 +7578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.144384719 -0.384236446 +7580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.144690123 -0.384236446 +7576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.339012432 -0.384236446 +7583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.686314046 -0.384236446 +7582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.332923871 -0.384236446 +7584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.056469477 -0.384236446 +7586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.430574226 -0.384236446 +7587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.67339561 -0.384236446 +7585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.108624294 -0.384236446 +7588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.594821213 -0.384236446 +7590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.709903786 -0.384236446 +7591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.341934699 -0.384236446 +7592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.596662761 -0.384236446 +7589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.292764669 -0.384236446 +7593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.554980434 -0.384236446 +7594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.657727562 -0.384236446 +7595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.144966734 -0.384236446 +7596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.591773174 -0.384236446 +7597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.667546376 -0.384236446 +7598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.419573983 -0.384236446 +7599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.306259043 -0.384236446 +7601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.677312894 -0.384236446 +7602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.285544493 -0.384236446 +7600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.478244676 -0.384236446 +7603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.134328187 -0.384236446 +7604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.814713358 -0.384236446 +7605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.499514838 -0.384236446 +7606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.180570657 -0.384236446 +7607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.059704396 -0.384236446 +7608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.396465904 -0.384236446 +7609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.232696469 -0.384236446 +7611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.343787404 -0.384236446 +7612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.002527415 -0.384236446 +7610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.643380943 -0.384236446 +7613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.101939176 -0.384236446 +7614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.7360826 -0.384236446 +7615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.36760546 -0.384236446 +7616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.093805714 -0.384236446 +7617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.430383246 -0.384236446 +7618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.348264914 -0.384236446 +7619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.531524269 -0.384236446 +7620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.060720966 -0.384236446 +7621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.07231342 -0.384236446 +7622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.57862061 -0.384236446 +7623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.053638501 -0.384236446 +7624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.183957832 -0.384236446 +7625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.524096986 -0.384236446 +7626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.115101217 -0.384236446 +7627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.094888705 -0.384236446 +7629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.193476334 -0.384236446 +7630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.282658531 -0.384236446 +7632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.751459154 -0.384236446 +7631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.623503062 -0.384236446 +7628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.048536462 -0.384236446 +7633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.165946387 -0.384236446 +7634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.00911089 -0.384236446 +7635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.064296603 -0.384236446 +7636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.024940324 -0.384236446 +7637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.803076035 -0.384236446 +7638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.063927764 -0.384236446 +7639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.719202169 -0.384236446 +7640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.381258484 -0.384236446 +7641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.571215026 -0.384236446 +7642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.243459878 -0.384236446 +7643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.002643632 -0.384236446 +7644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.244468691 -0.384236446 +7645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.128013604 -0.384236446 +7646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.248689963 -0.384236446 +7647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.160294816 -0.384236446 +7648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.716055715 -0.384236446 +7649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.151255863 -0.384236446 +7650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.706209925 -0.384236446 +7651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.149790951 -0.384236446 +7652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.352162677 -0.384236446 +7653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.571798873 -0.384236446 +7655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.306980877 -0.384236446 +7654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.491662982 -0.384236446 +7657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.621366181 -0.384236446 +7656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.236820471 -0.384236446 +7658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.249224114 -0.384236446 +7659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.072334107 -0.384236446 +7660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.599210573 -0.384236446 +7661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.438472279 -0.384236446 +7662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.724560178 -0.384236446 +7663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.494403725 -0.384236446 +7664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.570204294 -0.384236446 +7665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.865746689 -0.384236446 +7667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.578310209 -0.384236446 +7666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.426036133 -0.384236446 +7668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.725308221 -0.384236446 +7669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.211189559 -0.384236446 +7670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.01581992 -0.384236446 +7671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.671091546 -0.384236446 +7672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.495220701 -0.384236446 +7674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.537001763 -0.384236446 +7675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.402362556 -0.384236446 +7676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.504559793 -0.384236446 +7678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.479004739 -0.384236446 +7677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.780639202 -0.384236446 +7679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.820208368 -0.384236446 +7680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.576015517 -0.384236446 +7673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.458845214 -0.384236446 +7681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.393550141 -0.384236446 +7682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.503207683 -0.384236446 +7683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.231058174 -0.384236446 +7685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.499590925 -0.384236446 +7684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.162232742 -0.384236446 +7686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.352869328 -0.384236446 +7687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.26812925 -0.384236446 +7689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.428038299 -0.384236446 +7688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.34426828 -0.384236446 +7690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.829747507 -0.384236446 +7691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.051479255 -0.384236446 +7692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.544757717 -0.384236446 +7693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.628705896 -0.384236446 +7694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.017419655 -0.384236446 +7696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.046830103 -0.384236446 +7695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.521617111 -0.384236446 +7698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.444371933 -0.384236446 +7699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.692177026 -0.384236446 +7700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.609066353 -0.384236446 +7701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.627291911 -0.384236446 +7702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.373500943 -0.384236446 +7697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.102071688 -0.384236446 +7703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.078503193 -0.384236446 +7704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.408957492 -0.384236446 +7705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.013172713 -0.384236446 +7706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.511807214 -0.384236446 +7708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.733736917 -0.384236446 +7707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.125304476 -0.384236446 +7709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.041962696 -0.384236446 +7710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.668273305 -0.384236446 +7711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.011041649 -0.384236446 +7712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.645116377 -0.384236446 +7713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.624673317 -0.384236446 +7714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.296244155 -0.384236446 +7715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.276138508 -0.384236446 +7716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.726263582 -0.384236446 +7717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.580459976 -0.384236446 +7719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.701447551 -0.384236446 +7718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.00120042 -0.384236446 +7721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.718057982 -0.384236446 +7720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.231439185 -0.384236446 +7722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.514457947 -0.384236446 +7724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.138604027 -0.384236446 +7725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.69245674 -0.384236446 +7723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.253197617 -0.384236446 +7726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.341968423 -0.384236446 +7728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.140072233 -0.384236446 +7727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.528868287 -0.384236446 +7730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.076658133 -0.384236446 +7731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.699504635 -0.384236446 +7729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.828956066 -0.384236446 +7732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.351570175 -0.384236446 +7733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.19032014 -0.384236446 +7734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.332593579 -0.384236446 +7735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.529532462 -0.384236446 +7736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.09616305 -0.384236446 +7738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.392753735 -0.384236446 +7737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.473230266 -0.384236446 +7739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.874359966 -0.384236446 +7740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.429625161 -0.384236446 +7741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.082372773 -0.384236446 +7742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.341660226 -0.384236446 +7743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.643939586 -0.384236446 +7746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.019974921 -0.384236446 +7745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.636286437 -0.384236446 +7744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.089665436 -0.384236446 +7748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.60710771 -0.384236446 +7747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.463300636 -0.384236446 +7749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.064753999 -0.384236446 +7750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.020991437 -0.384236446 +7751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.199488948 -0.384236446 +7752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.477669993 -0.384236446 +7753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.327572484 -0.384236446 +7754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.012263368 -0.384236446 +7755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.652985299 -0.384236446 +7756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.333461073 -0.384236446 +7758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.586462147 -0.384236446 +7757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.869324911 -0.384236446 +7759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.508670763 -0.384236446 +7760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.724272677 -0.384236446 +7761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.570770443 -0.384236446 +7764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.518001798 -0.384236446 +7763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.360461847 -0.384236446 +7762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.362341927 -0.384236446 +7766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.697026678 -0.384236446 +7765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.519058909 -0.384236446 +7767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.464328206 -0.384236446 +7768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.536735035 -0.384236446 +7769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.072702411 -0.384236446 +7770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.096874279 -0.384236446 +7771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.327236411 -0.384236446 +7772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.25771438 -0.384236446 +7773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.633179108 -0.384236446 +7775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.751729458 -0.384236446 +7774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.219477793 -0.384236446 +7776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.077460847 -0.384236446 +7777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.089724973 -0.384236446 +7778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.292021417 -0.384236446 +7779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.16554593 -0.384236446 +7781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.165430421 -0.384236446 +7783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.656828305 -0.384236446 +7780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.27630309 -0.384236446 +7782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.61752127 -0.384236446 +7784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.08746431 -0.384236446 +7785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.076838377 -0.384236446 +7786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.671862262 -0.384236446 +7787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.099248691 -0.384236446 +7788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.314633658 -0.384236446 +7789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.053997413 -0.384236446 +7792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.22890641 -0.384236446 +7791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.059277568 -0.384236446 +7790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.232334033 -0.384236446 +7793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.192147922 -0.384236446 +7794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.617384488 -0.384236446 +7795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.667676045 -0.384236446 +7796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.305856221 -0.384236446 +7797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.40212288 -0.384236446 +7798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.282228077 -0.384236446 +7799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.064687407 -0.384236446 +7802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.648036856 -0.384236446 +7801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.015521775 -0.384236446 +7803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.281394885 -0.384236446 +7800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.131804291 -0.384236446 +7804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.045986035 -0.384236446 +7805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.776691712 -0.384236446 +7806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.44517328 -0.384236446 +7807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.264466155 -0.384236446 +7809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.348792202 -0.384236446 +7808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.037832866 -0.384236446 +7810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.464358143 -0.384236446 +7811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.002497275 -0.384236446 +7813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.757290419 -0.384236446 +7812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.594276545 -0.384236446 +7814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.374534566 -0.384236446 +7815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.32591695 -0.384236446 +7816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.250895183 -0.384236446 +7818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.396753561 -0.384236446 +7817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.160555639 -0.384236446 +7820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 4.83E-04 -0.384236446 +7821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.377597288 -0.384236446 +7822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.861511458 -0.384236446 +7819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.50884044 -0.384236446 +7823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.594110916 -0.384236446 +7824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.728935206 -0.384236446 +7825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.044466367 -0.384236446 +7826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.025442409 -0.384236446 +7827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.616760238 -0.384236446 +7828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.100054625 -0.384236446 +7829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.34340913 -0.384236446 +7830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.32240674 -0.384236446 +7831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.370506992 -0.384236446 +7833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.319782543 -0.384236446 +7832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.190363249 -0.384236446 +7834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.057321222 -0.384236446 +7835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.278414573 -0.384236446 +7836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.706357882 -0.384236446 +7837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.012975479 -0.384236446 +7838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.583936922 -0.384236446 +7839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.042748598 -0.384236446 +7842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.239916296 -0.384236446 +7841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.668852537 -0.384236446 +7840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.704967904 -0.384236446 +7843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.154482679 -0.384236446 +7844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.687723745 -0.384236446 +7845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.729568234 -0.384236446 +7847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.206778982 -0.384236446 +7848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.042828213 -0.384236446 +7849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.566741815 -0.384236446 +7846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.229802015 -0.384236446 +7850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.07460328 -0.384236446 +7851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.080002102 -0.384236446 +7852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.709777198 -0.384236446 +7853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.766046614 -0.384236446 +7854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.337166949 -0.384236446 +7855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.251639258 -0.384236446 +7856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.054489348 -0.384236446 +7858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.3103913 -0.384236446 +7857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.760623202 -0.384236446 +7859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.330478703 -0.384236446 +7860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.444251558 -0.384236446 +7861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.604905248 -0.384236446 +7862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.349274395 -0.384236446 +7863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.352177186 -0.384236446 +7864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.454094488 -0.384236446 +7865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.068224356 -0.384236446 +7867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.287319297 -0.384236446 +7866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.149735838 -0.384236446 +7868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.032875055 -0.384236446 +7869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.45177297 -0.384236446 +7870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.198257111 -0.384236446 +7871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.807642613 -0.384236446 +7873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.406519589 -0.384236446 +7872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.139832659 -0.384236446 +7874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.248371852 -0.384236446 +7876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.542373965 -0.384236446 +7875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.524343243 -0.384236446 +7877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.308247067 -0.384236446 +7878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.712412926 -0.384236446 +7879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.051423788 -0.384236446 +7881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.232787233 -0.384236446 +7882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.043439566 -0.384236446 +7880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.377414665 -0.384236446 +7883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.439140777 -0.384236446 +7885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.708845528 -0.384236446 +7884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.108704563 -0.384236446 +7886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.806033631 -0.384236446 +7887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.741288737 -0.384236446 +7888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.043055399 -0.384236446 +7890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.106790275 -0.384236446 +7889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.468051962 -0.384236446 +7891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.53203499 -0.384236446 +7892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.591443424 -0.384236446 +7893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.04485341 -0.384236446 +7894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.437930064 -0.384236446 +7896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.660931297 -0.384236446 +7895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.074308971 -0.384236446 +7897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.301851002 -0.384236446 +7899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.06486289 -0.384236446 +7898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.535649167 -0.384236446 +7900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.529949034 -0.384236446 +7902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.120844737 -0.384236446 +7903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.525296291 -0.384236446 +7904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.305314559 -0.384236446 +7901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.643910187 -0.384236446 +7905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.31653953 -0.384236446 +7906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.302398203 -0.384236446 +7907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.25581764 -0.384236446 +7908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.013251861 -0.384236446 +7909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.495588087 -0.384236446 +7911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.348619957 -0.384236446 +7910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.313270513 -0.384236446 +7912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.58628884 -0.384236446 +7913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.570230827 -0.384236446 +7914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.130393455 -0.384236446 +7915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.03579962 -0.384236446 +7916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.336839499 -0.384236446 +7917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.198757055 -0.384236446 +7918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.31723371 -0.384236446 +7919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.451607829 -0.384236446 +7921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.722547347 -0.384236446 +7924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.492542272 -0.384236446 +7922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.017751221 -0.384236446 +7920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.38908466 -0.384236446 +7923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.694699033 -0.384236446 +7925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.70632024 -0.384236446 +7926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.571621769 -0.384236446 +7927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.245339025 -0.384236446 +7929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.66865772 -0.384236446 +7928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.024393709 -0.384236446 +7930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.411508576 -0.384236446 +7932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.565276983 -0.384236446 +7931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.356137163 -0.384236446 +7933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.412640754 -0.384236446 +7934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.117228826 -0.384236446 +7935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.544016199 -0.384236446 +7936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.141333622 -0.384236446 +7938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.338354242 -0.384236446 +7937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.440013491 -0.384236446 +7939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.26635148 -0.384236446 +7940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.357298054 -0.384236446 +7941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.70027588 -0.384236446 +7942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.537055402 -0.384236446 +7943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.666740838 -0.384236446 +7946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.57360613 -0.384236446 +7944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.293457407 -0.384236446 +7945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.221284437 -0.384236446 +7947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.41737091 -0.384236446 +7948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.388782539 -0.384236446 +7949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.469850538 -0.384236446 +7950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.341270043 -0.384236446 +7951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.25318178 -0.384236446 +7953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.046931704 -0.384236446 +7952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.366707661 -0.384236446 +7954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.012893334 -0.384236446 +7955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.190077467 -0.384236446 +7956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.237450865 -0.384236446 +7957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.673220514 -0.384236446 +7958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.76487636 -0.384236446 +7959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.563567139 -0.384236446 +7960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.279334187 -0.384236446 +7961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.185431682 -0.384236446 +7962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.412672389 -0.384236446 +7963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.260502587 -0.384236446 +7965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.045382136 -0.384236446 +7964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.390395577 -0.384236446 +7967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.279673875 -0.384236446 +7968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.351268342 -0.384236446 +7969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.44371687 -0.384236446 +7966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.048348646 -0.384236446 +7970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.665142867 -0.384236446 +7971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.045830212 -0.384236446 +7972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.02050998 -0.384236446 +7974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.650569952 -0.384236446 +7973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.662837368 -0.384236446 +7978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.252198756 -0.384236446 +7976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.512853023 -0.384236446 +7977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.297111659 -0.384236446 +7975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.548468966 -0.384236446 +7979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.225194798 -0.384236446 +7980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.662583832 -0.384236446 +7981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.697816339 -0.384236446 +7984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.375775291 -0.384236446 +7983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.323626415 -0.384236446 +7986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.3935516 -0.384236446 +7982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.683116878 -0.384236446 +7985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.70948947 -0.384236446 +7987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.372931631 -0.384236446 +7988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.07960883 -0.384236446 +7990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.267700417 -0.384236446 +7989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.378619089 -0.384236446 +7991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.42597798 -0.384236446 +7992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.231663146 -0.384236446 +7994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.378488046 -0.384236446 +7993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 0.010107099 -0.384236446 +7995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.748257543 -0.384236446 +7996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.619539406 -0.384236446 +7997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.820317598 -0.384236446 +7999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.016162224 -0.384236446 +7998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.173834664 -0.384236446 +8000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.65 10 1 -0.259279021 -0.384236446 +8001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.391345297 -0.394437529 +8003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.112154778 -0.394437529 +8002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.045648165 -0.394437529 +8005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.321922742 -0.394437529 +8004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.887534451 -0.394437529 +8007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.047404978 -0.394437529 +8006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.516558672 -0.394437529 +8009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.108887344 -0.394437529 +8008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.82277626 -0.394437529 +8010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.07349626 -0.394437529 +8011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.657711998 -0.394437529 +8012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.330239574 -0.394437529 +8013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.097332517 -0.394437529 +8014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.311261711 -0.394437529 +8015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.014014958 -0.394437529 +8017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.213241549 -0.394437529 +8016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.369190761 -0.394437529 +8018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.397298514 -0.394437529 +8021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.824875138 -0.394437529 +8020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.121209157 -0.394437529 +8019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.454062575 -0.394437529 +8023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.386199731 -0.394437529 +8024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.046169445 -0.394437529 +8022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.103176006 -0.394437529 +8025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.33646324 -0.394437529 +8026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.65001684 -0.394437529 +8028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.344780104 -0.394437529 +8027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.414240955 -0.394437529 +8029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.194788454 -0.394437529 +8030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.537863476 -0.394437529 +8031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.24173935 -0.394437529 +8032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.001926368 -0.394437529 +8033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.422046797 -0.394437529 +8034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.145824083 -0.394437529 +8035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.694515346 -0.394437529 +8036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.478024864 -0.394437529 +8038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.185842778 -0.394437529 +8037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.224254736 -0.394437529 +8039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.121310642 -0.394437529 +8040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.615434567 -0.394437529 +8041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.70047637 -0.394437529 +8042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.351452513 -0.394437529 +8043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.004079007 -0.394437529 +8044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.666519973 -0.394437529 +8045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.775748606 -0.394437529 +8047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.71070687 -0.394437529 +8048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.343050569 -0.394437529 +8049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.869922109 -0.394437529 +8050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.545523238 -0.394437529 +8046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.020751316 -0.394437529 +8052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.618704607 -0.394437529 +8051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.150277723 -0.394437529 +8053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.53648189 -0.394437529 +8054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.524017321 -0.394437529 +8055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.854739444 -0.394437529 +8056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.642938901 -0.394437529 +8057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.430835474 -0.394437529 +8058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.58762773 -0.394437529 +8060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.399251772 -0.394437529 +8059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.7026143 -0.394437529 +8061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.155080223 -0.394437529 +8062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.418928923 -0.394437529 +8063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.245152188 -0.394437529 +8064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.762775807 -0.394437529 +8065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.1819232 -0.394437529 +8067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.655881318 -0.394437529 +8066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.600767006 -0.394437529 +8068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.683219898 -0.394437529 +8069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.292397514 -0.394437529 +8070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.847405329 -0.394437529 +8071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.506644344 -0.394437529 +8073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.707492617 -0.394437529 +8072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.740368798 -0.394437529 +8074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.803266187 -0.394437529 +8075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.724409584 -0.394437529 +8076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.002294403 -0.394437529 +8077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.45197904 -0.394437529 +8079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.41892064 -0.394437529 +8080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.236760248 -0.394437529 +8082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.03522244 -0.394437529 +8078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.38817304 -0.394437529 +8081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.097707677 -0.394437529 +8084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.403333364 -0.394437529 +8083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.074631934 -0.394437529 +8085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.402768554 -0.394437529 +8087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.492801139 -0.394437529 +8086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.032567196 -0.394437529 +8088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.650345153 -0.394437529 +8090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.793909728 -0.394437529 +8089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.112933334 -0.394437529 +8091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.339032635 -0.394437529 +8092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.609126068 -0.394437529 +8093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.33698781 -0.394437529 +8095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.582696681 -0.394437529 +8094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.725743471 -0.394437529 +8096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.501056019 -0.394437529 +8097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.334507661 -0.394437529 +8099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.516957374 -0.394437529 +8098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.588296111 -0.394437529 +8100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.120694059 -0.394437529 +8101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.743349652 -0.394437529 +8103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.127328937 -0.394437529 +8104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.280927918 -0.394437529 +8102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.164932255 -0.394437529 +8105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.607571995 -0.394437529 +8107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.653786344 -0.394437529 +8106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.802967217 -0.394437529 +8108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.332092578 -0.394437529 +8109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.381733137 -0.394437529 +8111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.729444097 -0.394437529 +8110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.305530899 -0.394437529 +8112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.282125738 -0.394437529 +8113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.573629613 -0.394437529 +8114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.460964799 -0.394437529 +8115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.63503614 -0.394437529 +8116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.35897388 -0.394437529 +8117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.225722447 -0.394437529 +8119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.54859546 -0.394437529 +8118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.095462676 -0.394437529 +8120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.029337391 -0.394437529 +8123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.541203947 -0.394437529 +8121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.458528405 -0.394437529 +8122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.274323995 -0.394437529 +8124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.355808521 -0.394437529 +8125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.027942329 -0.394437529 +8128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.025672311 -0.394437529 +8127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.135483122 -0.394437529 +8126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.17746131 -0.394437529 +8130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.295075207 -0.394437529 +8131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.562594568 -0.394437529 +8129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.19374652 -0.394437529 +8133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.430011084 -0.394437529 +8135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.171208712 -0.394437529 +8134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.813898213 -0.394437529 +8138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.218124814 -0.394437529 +8136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.737034559 -0.394437529 +8137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.016772119 -0.394437529 +8139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.363687619 -0.394437529 +8132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.331467393 -0.394437529 +8140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.126865025 -0.394437529 +8141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.72612074 -0.394437529 +8143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.665038271 -0.394437529 +8142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.062392107 -0.394437529 +8144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.282531891 -0.394437529 +8145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.840489914 -0.394437529 +8146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.7146538 -0.394437529 +8147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.359882182 -0.394437529 +8148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.343434756 -0.394437529 +8150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.225943947 -0.394437529 +8149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.347625649 -0.394437529 +8151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.654174097 -0.394437529 +8154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.026267204 -0.394437529 +8152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.754991235 -0.394437529 +8153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.153086005 -0.394437529 +8155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.001567411 -0.394437529 +8156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.390187321 -0.394437529 +8158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.789576748 -0.394437529 +8159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.679503513 -0.394437529 +8157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.568231294 -0.394437529 +8160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.673295135 -0.394437529 +8161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.349364667 -0.394437529 +8162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.251077314 -0.394437529 +8163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -4.40E-05 -0.394437529 +8164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.00181559 -0.394437529 +8165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.04161531 -0.394437529 +8166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.051008317 -0.394437529 +8167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.71416957 -0.394437529 +8168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.793267274 -0.394437529 +8169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.553908751 -0.394437529 +8170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.079332958 -0.394437529 +8173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.634262605 -0.394437529 +8171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.289552521 -0.394437529 +8172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.590392598 -0.394437529 +8174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.590791737 -0.394437529 +8175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.347171893 -0.394437529 +8176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.518120356 -0.394437529 +8177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.724161679 -0.394437529 +8178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.147363798 -0.394437529 +8179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.392498604 -0.394437529 +8181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.129918703 -0.394437529 +8182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.434152399 -0.394437529 +8184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.136805246 -0.394437529 +8183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.144921966 -0.394437529 +8180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.65260824 -0.394437529 +8185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.054587222 -0.394437529 +8186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.369755699 -0.394437529 +8188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.310421057 -0.394437529 +8187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.32650571 -0.394437529 +8190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.048054721 -0.394437529 +8189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.286974884 -0.394437529 +8192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.455650439 -0.394437529 +8191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.737815539 -0.394437529 +8193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.644279078 -0.394437529 +8194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.724180943 -0.394437529 +8195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.691490575 -0.394437529 +8196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.124632044 -0.394437529 +8197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.14432149 -0.394437529 +8198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.772665603 -0.394437529 +8200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.636796556 -0.394437529 +8201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.453743379 -0.394437529 +8202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.4964671 -0.394437529 +8199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.341175829 -0.394437529 +8203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.478701978 -0.394437529 +8204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.507378914 -0.394437529 +8205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.008465935 -0.394437529 +8206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.704364542 -0.394437529 +8207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.633241476 -0.394437529 +8209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.244790751 -0.394437529 +8208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.773831397 -0.394437529 +8210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.280322386 -0.394437529 +8211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.704065916 -0.394437529 +8212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.579617603 -0.394437529 +8214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.119735207 -0.394437529 +8213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.30235749 -0.394437529 +8215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.446357693 -0.394437529 +8216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.093784441 -0.394437529 +8217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.488883009 -0.394437529 +8219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.554700043 -0.394437529 +8220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.50018656 -0.394437529 +8218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.337652516 -0.394437529 +8221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.210921747 -0.394437529 +8222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.291875538 -0.394437529 +8223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.309105632 -0.394437529 +8224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.688311804 -0.394437529 +8225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.456063897 -0.394437529 +8226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.163180718 -0.394437529 +8227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.525835745 -0.394437529 +8229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.279583178 -0.394437529 +8230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.381222808 -0.394437529 +8228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.052781067 -0.394437529 +8231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.248021322 -0.394437529 +8233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.769483161 -0.394437529 +8232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.645914064 -0.394437529 +8234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.353282987 -0.394437529 +8235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.505653481 -0.394437529 +8237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.356201935 -0.394437529 +8236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.151886423 -0.394437529 +8239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.371159123 -0.394437529 +8238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.079197649 -0.394437529 +8240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.015790302 -0.394437529 +8241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.809703609 -0.394437529 +8242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.412947361 -0.394437529 +8243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.552008411 -0.394437529 +8244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.208909601 -0.394437529 +8245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.663717135 -0.394437529 +8246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.098925789 -0.394437529 +8247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.536052288 -0.394437529 +8249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.756000973 -0.394437529 +8248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.389620847 -0.394437529 +8250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.382800128 -0.394437529 +8251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.123643442 -0.394437529 +8253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.031706617 -0.394437529 +8252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.118095775 -0.394437529 +8254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.096481725 -0.394437529 +8255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.614814597 -0.394437529 +8256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.675505444 -0.394437529 +8257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.533754504 -0.394437529 +8258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.475433224 -0.394437529 +8259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.68772196 -0.394437529 +8260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.575599333 -0.394437529 +8261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.05940457 -0.394437529 +8262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.334211582 -0.394437529 +8263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.824899892 -0.394437529 +8265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.033276911 -0.394437529 +8264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.310582928 -0.394437529 +8267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.292834567 -0.394437529 +8268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.699850736 -0.394437529 +8266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.539112938 -0.394437529 +8269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.058348668 -0.394437529 +8270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.692868711 -0.394437529 +8272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.352178935 -0.394437529 +8273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.695625322 -0.394437529 +8274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.59001745 -0.394437529 +8276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.839004774 -0.394437529 +8275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.313561392 -0.394437529 +8271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.317356613 -0.394437529 +8277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.61265057 -0.394437529 +8278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.498195765 -0.394437529 +8279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.072370963 -0.394437529 +8280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.516973352 -0.394437529 +8281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.210383125 -0.394437529 +8282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.158635673 -0.394437529 +8283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.78006691 -0.394437529 +8285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.740267248 -0.394437529 +8284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.230485173 -0.394437529 +8286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.120832741 -0.394437529 +8287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.864608214 -0.394437529 +8288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.242454146 -0.394437529 +8289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.339840089 -0.394437529 +8290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.461095774 -0.394437529 +8291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.266028653 -0.394437529 +8292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.217211972 -0.394437529 +8294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.430550317 -0.394437529 +8293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.345999809 -0.394437529 +8296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.597427811 -0.394437529 +8295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.049588424 -0.394437529 +8297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.327547886 -0.394437529 +8298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.017039163 -0.394437529 +8300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.637870867 -0.394437529 +8299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.470335782 -0.394437529 +8301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.593607039 -0.394437529 +8302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.510336763 -0.394437529 +8303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.455016283 -0.394437529 +8305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.123519065 -0.394437529 +8304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.632200538 -0.394437529 +8306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.332402343 -0.394437529 +8307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.160346 -0.394437529 +8308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.675934262 -0.394437529 +8309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.382189541 -0.394437529 +8313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.133425549 -0.394437529 +8311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.048035328 -0.394437529 +8312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.645017043 -0.394437529 +8314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.238889298 -0.394437529 +8310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.035928255 -0.394437529 +8315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.202627361 -0.394437529 +8316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.675004981 -0.394437529 +8317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.069531699 -0.394437529 +8319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.493271267 -0.394437529 +8318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.05601155 -0.394437529 +8320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.075054373 -0.394437529 +8321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.690729671 -0.394437529 +8323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.246002824 -0.394437529 +8322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.253375536 -0.394437529 +8324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.586158007 -0.394437529 +8325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.451330344 -0.394437529 +8327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.233154336 -0.394437529 +8326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.468910353 -0.394437529 +8328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.798709413 -0.394437529 +8329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.460702105 -0.394437529 +8330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.108529866 -0.394437529 +8333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.315017792 -0.394437529 +8332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.837720943 -0.394437529 +8331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.115659133 -0.394437529 +8334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.324674257 -0.394437529 +8335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.109421454 -0.394437529 +8338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.790155321 -0.394437529 +8337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.746720479 -0.394437529 +8336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.433695806 -0.394437529 +8340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.036218631 -0.394437529 +8339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.74143777 -0.394437529 +8343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.38429988 -0.394437529 +8341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.244014928 -0.394437529 +8342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.040936275 -0.394437529 +8344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.607853619 -0.394437529 +8345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.289247918 -0.394437529 +8346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.588342169 -0.394437529 +8347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.568028787 -0.394437529 +8348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.7160193 -0.394437529 +8349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.353914552 -0.394437529 +8350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.518827546 -0.394437529 +8352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.099154431 -0.394437529 +8353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.153843002 -0.394437529 +8354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.200145203 -0.394437529 +8351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.388522786 -0.394437529 +8356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.279518858 -0.394437529 +8357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.158888224 -0.394437529 +8355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.637090281 -0.394437529 +8359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.670986755 -0.394437529 +8358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.009895042 -0.394437529 +8360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.098596981 -0.394437529 +8361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.060765963 -0.394437529 +8362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.196720282 -0.394437529 +8363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.427670272 -0.394437529 +8365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.154734729 -0.394437529 +8364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.234245506 -0.394437529 +8366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.694768006 -0.394437529 +8367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.1874207 -0.394437529 +8368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.144918312 -0.394437529 +8369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.481095075 -0.394437529 +8371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.772542888 -0.394437529 +8373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.312273203 -0.394437529 +8370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.704307241 -0.394437529 +8374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.670606251 -0.394437529 +8372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.451333565 -0.394437529 +8375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.431809867 -0.394437529 +8376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.325521447 -0.394437529 +8377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.065204253 -0.394437529 +8378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.30643744 -0.394437529 +8380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.217758692 -0.394437529 +8382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.668066611 -0.394437529 +8381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.236206569 -0.394437529 +8379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.040670062 -0.394437529 +8383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.572998293 -0.394437529 +8384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.601534165 -0.394437529 +8385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.226270863 -0.394437529 +8386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.158352047 -0.394437529 +8390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.166775182 -0.394437529 +8388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.875107425 -0.394437529 +8389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.251722156 -0.394437529 +8387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.56520005 -0.394437529 +8391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.075402209 -0.394437529 +8392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.030468886 -0.394437529 +8393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.11380181 -0.394437529 +8394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.466323887 -0.394437529 +8395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.655088783 -0.394437529 +8396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.213760232 -0.394437529 +8397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.236233778 -0.394437529 +8398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.069240534 -0.394437529 +8400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.660027758 -0.394437529 +8399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.10750531 -0.394437529 +8401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.532084828 -0.394437529 +8402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.268979144 -0.394437529 +8403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.674976676 -0.394437529 +8404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.468214873 -0.394437529 +8405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.155966422 -0.394437529 +8407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.19837635 -0.394437529 +8408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.141173544 -0.394437529 +8406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.063769066 -0.394437529 +8409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.571680668 -0.394437529 +8410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.562172216 -0.394437529 +8411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.233662348 -0.394437529 +8412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.304636361 -0.394437529 +8413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.432797376 -0.394437529 +8415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.256901155 -0.394437529 +8418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.724612005 -0.394437529 +8417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.02819095 -0.394437529 +8416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.472535938 -0.394437529 +8414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.537024145 -0.394437529 +8419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.486985782 -0.394437529 +8420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.497981851 -0.394437529 +8421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.015911871 -0.394437529 +8423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.03047993 -0.394437529 +8424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.490314442 -0.394437529 +8426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.734675709 -0.394437529 +8428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.505447838 -0.394437529 +8425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.445281661 -0.394437529 +8427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.046709778 -0.394437529 +8429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.065355801 -0.394437529 +8422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.327184789 -0.394437529 +8430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.107124163 -0.394437529 +8432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.267123301 -0.394437529 +8435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.076490035 -0.394437529 +8434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.225624025 -0.394437529 +8436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.66751847 -0.394437529 +8431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.3441337 -0.394437529 +8437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.13271867 -0.394437529 +8433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.054629276 -0.394437529 +8439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.541159561 -0.394437529 +8444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.091506385 -0.394437529 +8440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.65299588 -0.394437529 +8438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.052707802 -0.394437529 +8443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.466625499 -0.394437529 +8441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.293760372 -0.394437529 +8442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.686413228 -0.394437529 +8445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.448208317 -0.394437529 +8448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.584708757 -0.394437529 +8450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.695084865 -0.394437529 +8449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.376360755 -0.394437529 +8446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.670790737 -0.394437529 +8451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.098618732 -0.394437529 +8447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.257556569 -0.394437529 +8452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.570970807 -0.394437529 +8454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.71572343 -0.394437529 +8457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.551272997 -0.394437529 +8455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.854007682 -0.394437529 +8458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.19730835 -0.394437529 +8459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.257063118 -0.394437529 +8460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.086384021 -0.394437529 +8456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.54460474 -0.394437529 +8453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.18460305 -0.394437529 +8461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.022270409 -0.394437529 +8463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.327755255 -0.394437529 +8464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.434232385 -0.394437529 +8462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.107845763 -0.394437529 +8468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.793670938 -0.394437529 +8465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.484168049 -0.394437529 +8467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.342074381 -0.394437529 +8466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.060675646 -0.394437529 +8469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.547882557 -0.394437529 +8470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.156550173 -0.394437529 +8471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.668710249 -0.394437529 +8472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.51543141 -0.394437529 +8474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.707167814 -0.394437529 +8476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.366906743 -0.394437529 +8477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.076490213 -0.394437529 +8478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.238510217 -0.394437529 +8473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.664187846 -0.394437529 +8480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.477351271 -0.394437529 +8475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.701014892 -0.394437529 +8479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.45665365 -0.394437529 +8481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.196392192 -0.394437529 +8483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.337269687 -0.394437529 +8482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.642432406 -0.394437529 +8484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.462139819 -0.394437529 +8485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.483706267 -0.394437529 +8487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.667393147 -0.394437529 +8486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.083541515 -0.394437529 +8488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.142778873 -0.394437529 +8489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.64517536 -0.394437529 +8490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.368443929 -0.394437529 +8491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.701622853 -0.394437529 +8492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.657750715 -0.394437529 +8494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.389798485 -0.394437529 +8495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.529196024 -0.394437529 +8497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.7045456 -0.394437529 +8496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.031487537 -0.394437529 +8498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.271475755 -0.394437529 +8499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.090581679 -0.394437529 +8493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.660186117 -0.394437529 +8500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.025703892 -0.394437529 +8501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.756109766 -0.394437529 +8504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.692582014 -0.394437529 +8502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.860333437 -0.394437529 +8503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.672869458 -0.394437529 +8506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.077354761 -0.394437529 +8505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.029274388 -0.394437529 +8508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.117675418 -0.394437529 +8509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.60841938 -0.394437529 +8507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.095012227 -0.394437529 +8510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.572683495 -0.394437529 +8511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.444430918 -0.394437529 +8513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.032105287 -0.394437529 +8512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.522452299 -0.394437529 +8515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.516295153 -0.394437529 +8516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.486574729 -0.394437529 +8514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.321485371 -0.394437529 +8519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.109216659 -0.394437529 +8518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.317775195 -0.394437529 +8517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.163102282 -0.394437529 +8521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.262941717 -0.394437529 +8522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.772482695 -0.394437529 +8520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.564527688 -0.394437529 +8523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.252078545 -0.394437529 +8524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.48706708 -0.394437529 +8525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.246795341 -0.394437529 +8526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.611069999 -0.394437529 +8527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.17964467 -0.394437529 +8531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.718073652 -0.394437529 +8530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.452720771 -0.394437529 +8532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.648896554 -0.394437529 +8528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.524158993 -0.394437529 +8533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.574344306 -0.394437529 +8529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.433630477 -0.394437529 +8534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.773092657 -0.394437529 +8535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.657701254 -0.394437529 +8538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.435545083 -0.394437529 +8537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.498046144 -0.394437529 +8539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.042243632 -0.394437529 +8541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.754759865 -0.394437529 +8540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.120921927 -0.394437529 +8542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.769535242 -0.394437529 +8536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.471272888 -0.394437529 +8544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.5043245 -0.394437529 +8543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.315515094 -0.394437529 +8547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.125630458 -0.394437529 +8546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.155560904 -0.394437529 +8548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.708191417 -0.394437529 +8545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.617585545 -0.394437529 +8550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.185455975 -0.394437529 +8549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.762405945 -0.394437529 +8553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.790926946 -0.394437529 +8552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.676022284 -0.394437529 +8551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.53183471 -0.394437529 +8555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.023952923 -0.394437529 +8554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.147516423 -0.394437529 +8556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.584698059 -0.394437529 +8558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.257879247 -0.394437529 +8557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.046792114 -0.394437529 +8559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.237356412 -0.394437529 +8561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.585970409 -0.394437529 +8562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.133995223 -0.394437529 +8564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.77143675 -0.394437529 +8560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.066276594 -0.394437529 +8565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.647888285 -0.394437529 +8563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.730357498 -0.394437529 +8566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.755761609 -0.394437529 +8569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.472361731 -0.394437529 +8570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.347862448 -0.394437529 +8568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.494632489 -0.394437529 +8567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.178864888 -0.394437529 +8571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.127807344 -0.394437529 +8573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.290083585 -0.394437529 +8574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.49679433 -0.394437529 +8572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.205845822 -0.394437529 +8575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.478651499 -0.394437529 +8577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.241093409 -0.394437529 +8578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.05029078 -0.394437529 +8576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.673309954 -0.394437529 +8579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.787096522 -0.394437529 +8581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.261175527 -0.394437529 +8580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.210384319 -0.394437529 +8582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.583259783 -0.394437529 +8583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.091339552 -0.394437529 +8584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.391012133 -0.394437529 +8586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.293113673 -0.394437529 +8585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.74331141 -0.394437529 +8587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.089941698 -0.394437529 +8588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.200551674 -0.394437529 +8589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.370663978 -0.394437529 +8591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.352144093 -0.394437529 +8590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.760690118 -0.394437529 +8592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.515201323 -0.394437529 +8594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.189126238 -0.394437529 +8593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.083551967 -0.394437529 +8596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.457961271 -0.394437529 +8595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.69934059 -0.394437529 +8598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.740501522 -0.394437529 +8600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.580502618 -0.394437529 +8599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.620501005 -0.394437529 +8597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.596904872 -0.394437529 +8602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.028740235 -0.394437529 +8601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.590129805 -0.394437529 +8603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.304532363 -0.394437529 +8605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.218088058 -0.394437529 +8607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.641721319 -0.394437529 +8608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.701368744 -0.394437529 +8606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.503792483 -0.394437529 +8609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.529322358 -0.394437529 +8604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.358298516 -0.394437529 +8610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.899706724 -0.394437529 +8611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.250705942 -0.394437529 +8613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.463751955 -0.394437529 +8612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.42081829 -0.394437529 +8615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.044798276 -0.394437529 +8617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.289616126 -0.394437529 +8614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.481559145 -0.394437529 +8618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.060006147 -0.394437529 +8619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.598477163 -0.394437529 +8616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.359517642 -0.394437529 +8621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.339998626 -0.394437529 +8624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.066662867 -0.394437529 +8620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.764320889 -0.394437529 +8625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.290907161 -0.394437529 +8623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.079401831 -0.394437529 +8622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.337543323 -0.394437529 +8627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.32262009 -0.394437529 +8626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.13994586 -0.394437529 +8630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.046440367 -0.394437529 +8629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.571471273 -0.394437529 +8633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.578254585 -0.394437529 +8631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.727723403 -0.394437529 +8632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.742818073 -0.394437529 +8628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.394822279 -0.394437529 +8634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.409614051 -0.394437529 +8635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.601730508 -0.394437529 +8638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.768669359 -0.394437529 +8637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.442119915 -0.394437529 +8636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.649327113 -0.394437529 +8641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.46082155 -0.394437529 +8639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.752610138 -0.394437529 +8642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.732676484 -0.394437529 +8640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.568693566 -0.394437529 +8645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.206321734 -0.394437529 +8646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.138829479 -0.394437529 +8643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.563252764 -0.394437529 +8644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.565457304 -0.394437529 +8647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.783932691 -0.394437529 +8648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.484581477 -0.394437529 +8649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.505461385 -0.394437529 +8650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.189440151 -0.394437529 +8651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.252587361 -0.394437529 +8654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.57581096 -0.394437529 +8652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.419722937 -0.394437529 +8655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.170716327 -0.394437529 +8653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.091331669 -0.394437529 +8656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.164772755 -0.394437529 +8657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.653409923 -0.394437529 +8658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.598985581 -0.394437529 +8660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.318098574 -0.394437529 +8662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.547560169 -0.394437529 +8663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.787403139 -0.394437529 +8659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.66467913 -0.394437529 +8664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.206190544 -0.394437529 +8661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.538213948 -0.394437529 +8665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.634025792 -0.394437529 +8667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.539644354 -0.394437529 +8668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.668962677 -0.394437529 +8669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.135534258 -0.394437529 +8670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.405911014 -0.394437529 +8671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.374618438 -0.394437529 +8666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.069686998 -0.394437529 +8672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.326000943 -0.394437529 +8674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.313906741 -0.394437529 +8673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.504749148 -0.394437529 +8675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.284491004 -0.394437529 +8676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.096600688 -0.394437529 +8680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.016332344 -0.394437529 +8679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.376202759 -0.394437529 +8677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.277452727 -0.394437529 +8681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.500999226 -0.394437529 +8678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.703409124 -0.394437529 +8682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.297692702 -0.394437529 +8683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.747314462 -0.394437529 +8684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.716902954 -0.394437529 +8685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.101157833 -0.394437529 +8687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.011760129 -0.394437529 +8688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.331201465 -0.394437529 +8690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.520279161 -0.394437529 +8691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.705132019 -0.394437529 +8686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.122131458 -0.394437529 +8692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.163795503 -0.394437529 +8693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.417169474 -0.394437529 +8689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.647135316 -0.394437529 +8694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.773960327 -0.394437529 +8695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.131464957 -0.394437529 +8697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.677306472 -0.394437529 +8698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.330713144 -0.394437529 +8696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.528049833 -0.394437529 +8699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.57263619 -0.394437529 +8700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.385614847 -0.394437529 +8701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.001284311 -0.394437529 +8702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.585237045 -0.394437529 +8706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.664628203 -0.394437529 +8704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.636079799 -0.394437529 +8707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.446775974 -0.394437529 +8703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.497843347 -0.394437529 +8708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.090792021 -0.394437529 +8709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.220436275 -0.394437529 +8705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.064150514 -0.394437529 +8710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.321276062 -0.394437529 +8712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.338370082 -0.394437529 +8711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.67090277 -0.394437529 +8714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.50008148 -0.394437529 +8715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.134628627 -0.394437529 +8713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.193434467 -0.394437529 +8716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.015167562 -0.394437529 +8717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.650226745 -0.394437529 +8718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.511582064 -0.394437529 +8720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.071605659 -0.394437529 +8719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.760072871 -0.394437529 +8721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.502505778 -0.394437529 +8723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.59530461 -0.394437529 +8722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.225754019 -0.394437529 +8724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.64187646 -0.394437529 +8726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.064552002 -0.394437529 +8727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.374883658 -0.394437529 +8728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.140031896 -0.394437529 +8729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.482989154 -0.394437529 +8725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.753981733 -0.394437529 +8730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.491622945 -0.394437529 +8731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.028520724 -0.394437529 +8732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.051639514 -0.394437529 +8733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.515963402 -0.394437529 +8735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.673218663 -0.394437529 +8738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.497296715 -0.394437529 +8737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.472321275 -0.394437529 +8736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.114360132 -0.394437529 +8734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.559025728 -0.394437529 +8739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.28059363 -0.394437529 +8740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.298368385 -0.394437529 +8741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.605109604 -0.394437529 +8743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.328059779 -0.394437529 +8742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.028663903 -0.394437529 +8745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.423530129 -0.394437529 +8747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.438611637 -0.394437529 +8746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.583450221 -0.394437529 +8748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.026051108 -0.394437529 +8749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.270457123 -0.394437529 +8744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.382716334 -0.394437529 +8750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.686532636 -0.394437529 +8751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.051188367 -0.394437529 +8752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.398973341 -0.394437529 +8753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.598719876 -0.394437529 +8755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.608076264 -0.394437529 +8754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.564298732 -0.394437529 +8756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.067922385 -0.394437529 +8757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.140060596 -0.394437529 +8758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.631821495 -0.394437529 +8759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.81637195 -0.394437529 +8761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.628794209 -0.394437529 +8760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.309622046 -0.394437529 +8762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.272057558 -0.394437529 +8763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.258383024 -0.394437529 +8764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.209279866 -0.394437529 +8767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.967740334 -0.394437529 +8766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.064158712 -0.394437529 +8768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.561415691 -0.394437529 +8769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.084145314 -0.394437529 +8770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.659980167 -0.394437529 +8771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.379044397 -0.394437529 +8765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.263777003 -0.394437529 +8772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.422578739 -0.394437529 +8774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.138364828 -0.394437529 +8773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.023848101 -0.394437529 +8776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.135112528 -0.394437529 +8777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.618394077 -0.394437529 +8775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.432692333 -0.394437529 +8780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.569412015 -0.394437529 +8779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.658909857 -0.394437529 +8778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.279171459 -0.394437529 +8782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.289568686 -0.394437529 +8783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.343054558 -0.394437529 +8784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.420496271 -0.394437529 +8781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.597020891 -0.394437529 +8785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.20185056 -0.394437529 +8786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.732259264 -0.394437529 +8788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.591484962 -0.394437529 +8789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.772448086 -0.394437529 +8790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.014701573 -0.394437529 +8787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.529267384 -0.394437529 +8791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.817879041 -0.394437529 +8792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.483185249 -0.394437529 +8793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.250114532 -0.394437529 +8794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.201548529 -0.394437529 +8796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.062674216 -0.394437529 +8795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.519059652 -0.394437529 +8798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.558751337 -0.394437529 +8797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.593341216 -0.394437529 +8799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.049458024 -0.394437529 +8800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.035447038 -0.394437529 +8802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.08625817 -0.394437529 +8801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.423926078 -0.394437529 +8803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.043899255 -0.394437529 +8806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.032251289 -0.394437529 +8805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.64597801 -0.394437529 +8804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.288312141 -0.394437529 +8807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.453036217 -0.394437529 +8808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.064848787 -0.394437529 +8810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.189259548 -0.394437529 +8809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.13536258 -0.394437529 +8813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.138153955 -0.394437529 +8811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.581287832 -0.394437529 +8814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.077690506 -0.394437529 +8816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.136733557 -0.394437529 +8812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.259992308 -0.394437529 +8815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.765727 -0.394437529 +8818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.16698803 -0.394437529 +8817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.696172591 -0.394437529 +8821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.155482743 -0.394437529 +8820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.912453028 -0.394437529 +8823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.713794187 -0.394437529 +8819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.505770834 -0.394437529 +8822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.047386268 -0.394437529 +8824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.629468391 -0.394437529 +8826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.367252674 -0.394437529 +8825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.430294753 -0.394437529 +8828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.205694387 -0.394437529 +8827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.903503045 -0.394437529 +8829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.092352435 -0.394437529 +8830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.609398267 -0.394437529 +8831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.420650252 -0.394437529 +8834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.270999786 -0.394437529 +8833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.030841404 -0.394437529 +8832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.187485609 -0.394437529 +8836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.458820643 -0.394437529 +8835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.778848273 -0.394437529 +8838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.131286753 -0.394437529 +8837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.540216603 -0.394437529 +8839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.422789721 -0.394437529 +8841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.262643051 -0.394437529 +8840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.64541663 -0.394437529 +8843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.28861322 -0.394437529 +8844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.485221241 -0.394437529 +8845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.104260318 -0.394437529 +8846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.022958571 -0.394437529 +8842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.046916977 -0.394437529 +8848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.73336781 -0.394437529 +8847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.337106139 -0.394437529 +8849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.729292447 -0.394437529 +8850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.637589286 -0.394437529 +8853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.75730547 -0.394437529 +8852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.417170733 -0.394437529 +8851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.516547655 -0.394437529 +8854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.412646024 -0.394437529 +8855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.462324772 -0.394437529 +8856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.773852749 -0.394437529 +8858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.01336645 -0.394437529 +8860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.088501959 -0.394437529 +8859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.701276099 -0.394437529 +8857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.444453602 -0.394437529 +8861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.428339873 -0.394437529 +8863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.020211933 -0.394437529 +8864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.128742817 -0.394437529 +8862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.49425625 -0.394437529 +8866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.802793282 -0.394437529 +8867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.182296936 -0.394437529 +8868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.123426125 -0.394437529 +8869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.136384819 -0.394437529 +8865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.114558351 -0.394437529 +8870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.274984842 -0.394437529 +8871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.134835736 -0.394437529 +8875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.679706432 -0.394437529 +8877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.09142545 -0.394437529 +8876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.290216737 -0.394437529 +8872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.330699025 -0.394437529 +8874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.051785413 -0.394437529 +8873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.2209129 -0.394437529 +8879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.388355256 -0.394437529 +8878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.289569274 -0.394437529 +8882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.523070268 -0.394437529 +8881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.374255787 -0.394437529 +8880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.652909987 -0.394437529 +8884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.463850426 -0.394437529 +8885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.103717129 -0.394437529 +8883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.205522281 -0.394437529 +8886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.301510074 -0.394437529 +8887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.808902144 -0.394437529 +8888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.620951223 -0.394437529 +8889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.698634202 -0.394437529 +8890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.121352503 -0.394437529 +8892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.02514979 -0.394437529 +8891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.752457238 -0.394437529 +8894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.648900113 -0.394437529 +8895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.099701577 -0.394437529 +8896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.546302699 -0.394437529 +8897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.14127934 -0.394437529 +8893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.459066999 -0.394437529 +8898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.697313651 -0.394437529 +8899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.161590876 -0.394437529 +8900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.562051008 -0.394437529 +8901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.028633578 -0.394437529 +8902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.591807639 -0.394437529 +8903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.66487562 -0.394437529 +8904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.458662044 -0.394437529 +8906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.421981323 -0.394437529 +8907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.522886121 -0.394437529 +8908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.593308499 -0.394437529 +8905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.864770307 -0.394437529 +8909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.215861759 -0.394437529 +8910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.450943881 -0.394437529 +8911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.386972525 -0.394437529 +8912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.517886983 -0.394437529 +8913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.358124701 -0.394437529 +8914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.386958768 -0.394437529 +8915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.682795592 -0.394437529 +8916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.270291437 -0.394437529 +8917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.589998866 -0.394437529 +8919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.294543406 -0.394437529 +8918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.511772413 -0.394437529 +8920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.711252435 -0.394437529 +8922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.053991446 -0.394437529 +8921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.459749993 -0.394437529 +8923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.677890154 -0.394437529 +8925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.367529887 -0.394437529 +8924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.278584865 -0.394437529 +8926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.171204306 -0.394437529 +8928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.14193542 -0.394437529 +8927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.201793699 -0.394437529 +8929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.129569081 -0.394437529 +8930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.694644779 -0.394437529 +8931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.516316772 -0.394437529 +8932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.787967281 -0.394437529 +8934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.746407529 -0.394437529 +8935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.006322379 -0.394437529 +8936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.658231261 -0.394437529 +8933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.305521443 -0.394437529 +8937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.543678771 -0.394437529 +8940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.625677622 -0.394437529 +8939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.499430527 -0.394437529 +8938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.679404706 -0.394437529 +8941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.01149099 -0.394437529 +8942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.745702982 -0.394437529 +8943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.070603749 -0.394437529 +8944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.59463399 -0.394437529 +8945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.043909493 -0.394437529 +8947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.517832728 -0.394437529 +8946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.232373804 -0.394437529 +8948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.626601552 -0.394437529 +8950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.678085619 -0.394437529 +8949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.181586851 -0.394437529 +8951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.251112786 -0.394437529 +8952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.540706586 -0.394437529 +8953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.56417106 -0.394437529 +8955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.271015705 -0.394437529 +8954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.697688767 -0.394437529 +8956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.630956986 -0.394437529 +8957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.376046274 -0.394437529 +8958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.014762648 -0.394437529 +8959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.546092871 -0.394437529 +8960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.651423604 -0.394437529 +8961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.198856719 -0.394437529 +8962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.124684323 -0.394437529 +8963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.843309472 -0.394437529 +8964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.167645697 -0.394437529 +8965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.650583905 -0.394437529 +8967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.740354873 -0.394437529 +8966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.757261668 -0.394437529 +8969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.063658602 -0.394437529 +8968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.272215567 -0.394437529 +8970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.53729132 -0.394437529 +8971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.557860995 -0.394437529 +8972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.686142813 -0.394437529 +8973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.78506833 -0.394437529 +8974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.142145199 -0.394437529 +8975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.618508969 -0.394437529 +8976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.680204173 -0.394437529 +8978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.707119673 -0.394437529 +8977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.350783153 -0.394437529 +8979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.216080588 -0.394437529 +8980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.050861884 -0.394437529 +8981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.417106637 -0.394437529 +8982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.131071704 -0.394437529 +8983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.433048347 -0.394437529 +8984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 0.058593941 -0.394437529 +8985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.44050066 -0.394437529 +8988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.291011026 -0.394437529 +8987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.226193132 -0.394437529 +8989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.012905876 -0.394437529 +8990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.511067049 -0.394437529 +8991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.515692228 -0.394437529 +8986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.318092073 -0.394437529 +8992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.623202899 -0.394437529 +8993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.459277507 -0.394437529 +8994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.175121044 -0.394437529 +8996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.566277811 -0.394437529 +8995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.078034874 -0.394437529 +8997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.429064267 -0.394437529 +8998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.477104379 -0.394437529 +8999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.461553046 -0.394437529 +9000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.6 10 1 -0.732148995 -0.394437529 +9001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.440241525 -0.37989499 +9002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.593833197 -0.37989499 +9004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.004819501 -0.37989499 +9003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.177058772 -0.37989499 +9005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.205592138 -0.37989499 +9006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.258571358 -0.37989499 +9007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.643612601 -0.37989499 +9009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.260092015 -0.37989499 +9008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.219033872 -0.37989499 +9010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.422429231 -0.37989499 +9012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.444791112 -0.37989499 +9013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.771382841 -0.37989499 +9011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.695787066 -0.37989499 +9014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.035494803 -0.37989499 +9015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.161555549 -0.37989499 +9016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.232455406 -0.37989499 +9017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.438092809 -0.37989499 +9018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.12122277 -0.37989499 +9019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.61627168 -0.37989499 +9022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.0091216 -0.37989499 +9021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.42746858 -0.37989499 +9020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.465877306 -0.37989499 +9023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.354937264 -0.37989499 +9024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.704874332 -0.37989499 +9025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.331915854 -0.37989499 +9026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.41961511 -0.37989499 +9027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.32357145 -0.37989499 +9029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.309944239 -0.37989499 +9030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.664574189 -0.37989499 +9028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.544644558 -0.37989499 +9032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.117836311 -0.37989499 +9031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.320200377 -0.37989499 +9033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.701682254 -0.37989499 +9034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.124029547 -0.37989499 +9035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.601799421 -0.37989499 +9036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.282574195 -0.37989499 +9037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.439415454 -0.37989499 +9038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.12492481 -0.37989499 +9041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.020086767 -0.37989499 +9039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.651909732 -0.37989499 +9042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.127928836 -0.37989499 +9044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.449763304 -0.37989499 +9043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.647010568 -0.37989499 +9040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.307927348 -0.37989499 +9045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.248987279 -0.37989499 +9046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.089383109 -0.37989499 +9047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.11401245 -0.37989499 +9048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.495578499 -0.37989499 +9049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.120579314 -0.37989499 +9050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.476399002 -0.37989499 +9051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.205068794 -0.37989499 +9052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.080271876 -0.37989499 +9053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.604272238 -0.37989499 +9054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.560246586 -0.37989499 +9055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.007412907 -0.37989499 +9056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.26035098 -0.37989499 +9057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.466401156 -0.37989499 +9058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.761056461 -0.37989499 +9059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.84787125 -0.37989499 +9061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.115460312 -0.37989499 +9062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.003409817 -0.37989499 +9060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.583553867 -0.37989499 +9063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.752714781 -0.37989499 +9064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.399148078 -0.37989499 +9065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.152556661 -0.37989499 +9066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.059931259 -0.37989499 +9067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.073408733 -0.37989499 +9068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.722150982 -0.37989499 +9069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.671044892 -0.37989499 +9070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.871406902 -0.37989499 +9071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.369134394 -0.37989499 +9072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.605891107 -0.37989499 +9074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.672035667 -0.37989499 +9073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.074996791 -0.37989499 +9075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.441264228 -0.37989499 +9076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.591294506 -0.37989499 +9077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.03073138 -0.37989499 +9079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.158108284 -0.37989499 +9080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.517891073 -0.37989499 +9081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.187910102 -0.37989499 +9082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.021172511 -0.37989499 +9083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.548610555 -0.37989499 +9078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.439833146 -0.37989499 +9084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.524567901 -0.37989499 +9085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.769262002 -0.37989499 +9086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.65049777 -0.37989499 +9087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.074509261 -0.37989499 +9088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.043704264 -0.37989499 +9089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.521108573 -0.37989499 +9090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.354901008 -0.37989499 +9092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.457745398 -0.37989499 +9091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.025368873 -0.37989499 +9093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.452085648 -0.37989499 +9094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.659029991 -0.37989499 +9095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.022551547 -0.37989499 +9098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.055796505 -0.37989499 +9097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.672026334 -0.37989499 +9096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.596771361 -0.37989499 +9099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.011187472 -0.37989499 +9101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.614923908 -0.37989499 +9100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.673356582 -0.37989499 +9102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.422900797 -0.37989499 +9103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.260357477 -0.37989499 +9105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.644558355 -0.37989499 +9104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.680549708 -0.37989499 +9106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.524970181 -0.37989499 +9107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.13233944 -0.37989499 +9108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.462969458 -0.37989499 +9109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.279552911 -0.37989499 +9110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.562941213 -0.37989499 +9111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.528434407 -0.37989499 +9113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.042705384 -0.37989499 +9112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.482437277 -0.37989499 +9114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.599187486 -0.37989499 +9115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.761222672 -0.37989499 +9116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.416389697 -0.37989499 +9119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.564023624 -0.37989499 +9120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.114563186 -0.37989499 +9118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.300788523 -0.37989499 +9122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.452958174 -0.37989499 +9121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.665654602 -0.37989499 +9117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.244294981 -0.37989499 +9123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.474618925 -0.37989499 +9124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.840605446 -0.37989499 +9125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.63130957 -0.37989499 +9126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.085465141 -0.37989499 +9127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.078316657 -0.37989499 +9128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.290613736 -0.37989499 +9129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.605015807 -0.37989499 +9131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.319445919 -0.37989499 +9130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.076081512 -0.37989499 +9132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.347630834 -0.37989499 +9133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.373223555 -0.37989499 +9134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.02740182 -0.37989499 +9135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.700783222 -0.37989499 +9136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.078214775 -0.37989499 +9138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.785141913 -0.37989499 +9140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.348921739 -0.37989499 +9137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.447047739 -0.37989499 +9141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.657008591 -0.37989499 +9142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.305801681 -0.37989499 +9144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.192750493 -0.37989499 +9143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.069137426 -0.37989499 +9139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.629409618 -0.37989499 +9145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.027384239 -0.37989499 +9147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.82762505 -0.37989499 +9146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.285308283 -0.37989499 +9149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.198341934 -0.37989499 +9148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.66763575 -0.37989499 +9150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.319742928 -0.37989499 +9151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.232837401 -0.37989499 +9152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.862741442 -0.37989499 +9153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.650989658 -0.37989499 +9154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.643135691 -0.37989499 +9155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.401131552 -0.37989499 +9156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.617981046 -0.37989499 +9157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.560681387 -0.37989499 +9158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.142185819 -0.37989499 +9159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.574174649 -0.37989499 +9161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.804988093 -0.37989499 +9163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.017755605 -0.37989499 +9164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.546350743 -0.37989499 +9160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.551905185 -0.37989499 +9162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.626291246 -0.37989499 +9165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.715066315 -0.37989499 +9167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.586498081 -0.37989499 +9166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.05993899 -0.37989499 +9168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.07831021 -0.37989499 +9169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.955747398 -0.37989499 +9170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.6410823 -0.37989499 +9172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.233130769 -0.37989499 +9171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.656083054 -0.37989499 +9173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.690145736 -0.37989499 +9174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.313573568 -0.37989499 +9175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.010452792 -0.37989499 +9176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.345450099 -0.37989499 +9177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.320094547 -0.37989499 +9178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.692268766 -0.37989499 +9179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.406425568 -0.37989499 +9181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.081399536 -0.37989499 +9182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.727012951 -0.37989499 +9183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.429233576 -0.37989499 +9180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.765347934 -0.37989499 +9184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.061136407 -0.37989499 +9186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.832193822 -0.37989499 +9187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.100830216 -0.37989499 +9185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.499656145 -0.37989499 +9188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.156027878 -0.37989499 +9189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.107774173 -0.37989499 +9190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.324114506 -0.37989499 +9192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.617983547 -0.37989499 +9193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.122908669 -0.37989499 +9194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.629190781 -0.37989499 +9191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.311842263 -0.37989499 +9195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.133660128 -0.37989499 +9196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.810458905 -0.37989499 +9198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.218067226 -0.37989499 +9197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.02560382 -0.37989499 +9199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.515375519 -0.37989499 +9200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.250103476 -0.37989499 +9201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.217374712 -0.37989499 +9202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.635059924 -0.37989499 +9203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.085838521 -0.37989499 +9204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.12503163 -0.37989499 +9205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.05252529 -0.37989499 +9206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.600679864 -0.37989499 +9208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.12545069 -0.37989499 +9207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.014111318 -0.37989499 +9209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.411349132 -0.37989499 +9211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.238632046 -0.37989499 +9212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.081500427 -0.37989499 +9210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.263538592 -0.37989499 +9213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.437068936 -0.37989499 +9214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.796606241 -0.37989499 +9215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.219212146 -0.37989499 +9216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.538506854 -0.37989499 +9218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.70646006 -0.37989499 +9217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.299108893 -0.37989499 +9219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.01740491 -0.37989499 +9222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.380225288 -0.37989499 +9221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.077222845 -0.37989499 +9220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.120149382 -0.37989499 +9223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.154068046 -0.37989499 +9224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.100112008 -0.37989499 +9225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.337161114 -0.37989499 +9226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.053057059 -0.37989499 +9227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.068473549 -0.37989499 +9228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.309938457 -0.37989499 +9229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.092475497 -0.37989499 +9230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.245169383 -0.37989499 +9231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.686562937 -0.37989499 +9232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.487234842 -0.37989499 +9233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.455137635 -0.37989499 +9234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.756161442 -0.37989499 +9235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.074482717 -0.37989499 +9236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.703596754 -0.37989499 +9237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.788908637 -0.37989499 +9239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.174425457 -0.37989499 +9240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.762106212 -0.37989499 +9238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.155468394 -0.37989499 +9241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.436215113 -0.37989499 +9242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.249500898 -0.37989499 +9243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.623402996 -0.37989499 +9244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.239108608 -0.37989499 +9246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.684849088 -0.37989499 +9245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.371844071 -0.37989499 +9247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.358790567 -0.37989499 +9249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.165773782 -0.37989499 +9248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.712787942 -0.37989499 +9251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.540039229 -0.37989499 +9250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.747402109 -0.37989499 +9252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.048023881 -0.37989499 +9253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.083694263 -0.37989499 +9255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.612218828 -0.37989499 +9254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.051928138 -0.37989499 +9256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.733635547 -0.37989499 +9258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.744006812 -0.37989499 +9259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.257576966 -0.37989499 +9257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.228001202 -0.37989499 +9260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.01252866 -0.37989499 +9261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.354099141 -0.37989499 +9262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.37021125 -0.37989499 +9264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.284288428 -0.37989499 +9263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.555642435 -0.37989499 +9265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.221936879 -0.37989499 +9266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.187019168 -0.37989499 +9267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.027954579 -0.37989499 +9268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.350850065 -0.37989499 +9269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.119681903 -0.37989499 +9270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.624131919 -0.37989499 +9271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.308976833 -0.37989499 +9273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.063979462 -0.37989499 +9272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.325327706 -0.37989499 +9274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.213425998 -0.37989499 +9276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.629987394 -0.37989499 +9277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.49607768 -0.37989499 +9278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.034483468 -0.37989499 +9275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.703021945 -0.37989499 +9279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.495582883 -0.37989499 +9280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.306877157 -0.37989499 +9281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.010653759 -0.37989499 +9282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.68892321 -0.37989499 +9283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.274218751 -0.37989499 +9284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.571830218 -0.37989499 +9285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.033746651 -0.37989499 +9286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.26315183 -0.37989499 +9287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.451521826 -0.37989499 +9288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.829656831 -0.37989499 +9290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.055716876 -0.37989499 +9289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.629192947 -0.37989499 +9291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.617398716 -0.37989499 +9292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.770222659 -0.37989499 +9293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.737141706 -0.37989499 +9295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.581098282 -0.37989499 +9296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.566363381 -0.37989499 +9294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.709551774 -0.37989499 +9298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.194108582 -0.37989499 +9297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.38095625 -0.37989499 +9299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.547414325 -0.37989499 +9300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.207038337 -0.37989499 +9301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.614611266 -0.37989499 +9302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.411791393 -0.37989499 +9303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.296496513 -0.37989499 +9304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.498580931 -0.37989499 +9305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.269464785 -0.37989499 +9308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.149096814 -0.37989499 +9306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.524190406 -0.37989499 +9307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.004599939 -0.37989499 +9309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.709555006 -0.37989499 +9310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.034867467 -0.37989499 +9311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.549610175 -0.37989499 +9314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.001418634 -0.37989499 +9313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.23092453 -0.37989499 +9316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.541461115 -0.37989499 +9315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.368557046 -0.37989499 +9317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.601978277 -0.37989499 +9312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.672016596 -0.37989499 +9318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.034824379 -0.37989499 +9319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.052735933 -0.37989499 +9321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.258381196 -0.37989499 +9322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.520728508 -0.37989499 +9320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.03483237 -0.37989499 +9323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.399854692 -0.37989499 +9324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.171037622 -0.37989499 +9325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.643714857 -0.37989499 +9326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.017107301 -0.37989499 +9327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.149223598 -0.37989499 +9330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.331139502 -0.37989499 +9328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.037577864 -0.37989499 +9329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.489920752 -0.37989499 +9331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.376144755 -0.37989499 +9332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.654868608 -0.37989499 +9333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.647335426 -0.37989499 +9334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.159979975 -0.37989499 +9335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.603525942 -0.37989499 +9336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.0075013 -0.37989499 +9337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.091079143 -0.37989499 +9338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.671847236 -0.37989499 +9339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.548057892 -0.37989499 +9340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.010228334 -0.37989499 +9342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.782878841 -0.37989499 +9341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.377770666 -0.37989499 +9343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.62425052 -0.37989499 +9344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.001922553 -0.37989499 +9345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.55058856 -0.37989499 +9347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.510356369 -0.37989499 +9346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.879269794 -0.37989499 +9348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.783472883 -0.37989499 +9349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.54174364 -0.37989499 +9350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.738854682 -0.37989499 +9351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.353811927 -0.37989499 +9352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.170093841 -0.37989499 +9353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.011406055 -0.37989499 +9354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.018047998 -0.37989499 +9356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.376153462 -0.37989499 +9355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.015670708 -0.37989499 +9357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.092645977 -0.37989499 +9359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.579770536 -0.37989499 +9360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.579398801 -0.37989499 +9358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.644069635 -0.37989499 +9361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.009405962 -0.37989499 +9364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.197336254 -0.37989499 +9362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.2950816 -0.37989499 +9363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.087550251 -0.37989499 +9365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.41912808 -0.37989499 +9367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.694091998 -0.37989499 +9366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.551428849 -0.37989499 +9368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.806873435 -0.37989499 +9369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.550472938 -0.37989499 +9371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.141567138 -0.37989499 +9372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.066524728 -0.37989499 +9370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.204636714 -0.37989499 +9373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.878608238 -0.37989499 +9374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.632337037 -0.37989499 +9375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.53548074 -0.37989499 +9377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.708849416 -0.37989499 +9376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.28122002 -0.37989499 +9379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.298585829 -0.37989499 +9378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.481870324 -0.37989499 +9380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.153864789 -0.37989499 +9381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.107298229 -0.37989499 +9382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.089506573 -0.37989499 +9383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.21331809 -0.37989499 +9384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.0433236 -0.37989499 +9385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.120460609 -0.37989499 +9387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.351389208 -0.37989499 +9386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.811604368 -0.37989499 +9388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.741245446 -0.37989499 +9389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.506602411 -0.37989499 +9390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.453695626 -0.37989499 +9391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.511967449 -0.37989499 +9392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.380057954 -0.37989499 +9394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.709121499 -0.37989499 +9395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.398559773 -0.37989499 +9396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.590766712 -0.37989499 +9393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.236013493 -0.37989499 +9397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.726612367 -0.37989499 +9399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.58707296 -0.37989499 +9398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.429558979 -0.37989499 +9400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.12149487 -0.37989499 +9401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.053413598 -0.37989499 +9403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.294961702 -0.37989499 +9402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.101383729 -0.37989499 +9404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.753563045 -0.37989499 +9405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.732984593 -0.37989499 +9406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.584645692 -0.37989499 +9407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.141511981 -0.37989499 +9408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.202657745 -0.37989499 +9409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.090855389 -0.37989499 +9410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.374467211 -0.37989499 +9411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.555239639 -0.37989499 +9413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.352041594 -0.37989499 +9412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.550204425 -0.37989499 +9415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.712278314 -0.37989499 +9414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.024088142 -0.37989499 +9416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.235559018 -0.37989499 +9417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.592538236 -0.37989499 +9419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.113260601 -0.37989499 +9418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.011315087 -0.37989499 +9420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.781883949 -0.37989499 +9422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.702233369 -0.37989499 +9423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.167713807 -0.37989499 +9421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.468861125 -0.37989499 +9424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.578535763 -0.37989499 +9427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.553070194 -0.37989499 +9425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.30510663 -0.37989499 +9426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.829020363 -0.37989499 +9428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.809019452 -0.37989499 +9430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.722490039 -0.37989499 +9429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.435954305 -0.37989499 +9432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.060956422 -0.37989499 +9434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.680170562 -0.37989499 +9433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.737505085 -0.37989499 +9431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.347033665 -0.37989499 +9435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.531597352 -0.37989499 +9436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.562713157 -0.37989499 +9438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.029129507 -0.37989499 +9437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.704302671 -0.37989499 +9439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.041186391 -0.37989499 +9441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.055277314 -0.37989499 +9440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.589631357 -0.37989499 +9443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.423322779 -0.37989499 +9442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.653897787 -0.37989499 +9444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.632666051 -0.37989499 +9446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.556817047 -0.37989499 +9445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.118683616 -0.37989499 +9447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.766561442 -0.37989499 +9449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.799275914 -0.37989499 +9448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.603094981 -0.37989499 +9450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.467229062 -0.37989499 +9452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.005299522 -0.37989499 +9453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.180243716 -0.37989499 +9454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.524736496 -0.37989499 +9455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.314697288 -0.37989499 +9451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.384710364 -0.37989499 +9457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.33108063 -0.37989499 +9456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.07359536 -0.37989499 +9458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.691058618 -0.37989499 +9459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.132445018 -0.37989499 +9460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.508480398 -0.37989499 +9461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.606746831 -0.37989499 +9462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.628202004 -0.37989499 +9463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.145631374 -0.37989499 +9464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.387498283 -0.37989499 +9465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.129381742 -0.37989499 +9466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.679790291 -0.37989499 +9467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.302894901 -0.37989499 +9468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.793697464 -0.37989499 +9469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.242058666 -0.37989499 +9470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.224447119 -0.37989499 +9472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.729663866 -0.37989499 +9473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.788760548 -0.37989499 +9471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.070514057 -0.37989499 +9474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.191818085 -0.37989499 +9475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.509449467 -0.37989499 +9476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.50809421 -0.37989499 +9477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.787231232 -0.37989499 +9478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.102713248 -0.37989499 +9479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.094571029 -0.37989499 +9480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.187737693 -0.37989499 +9482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.645895006 -0.37989499 +9481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.020861869 -0.37989499 +9483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.783047938 -0.37989499 +9485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.15639566 -0.37989499 +9484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.352060421 -0.37989499 +9486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.784517297 -0.37989499 +9488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.102809716 -0.37989499 +9487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.78075147 -0.37989499 +9489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.161026297 -0.37989499 +9491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.470045294 -0.37989499 +9492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.414983869 -0.37989499 +9490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.207000006 -0.37989499 +9493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.766623574 -0.37989499 +9494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.840819541 -0.37989499 +9496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.660685463 -0.37989499 +9495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.045895816 -0.37989499 +9497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.652191263 -0.37989499 +9501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.781697983 -0.37989499 +9498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.416936248 -0.37989499 +9499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.140006823 -0.37989499 +9502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.622470035 -0.37989499 +9500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.018692225 -0.37989499 +9503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.351760299 -0.37989499 +9504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.38233888 -0.37989499 +9506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.557538762 -0.37989499 +9508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.221488206 -0.37989499 +9505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.396494205 -0.37989499 +9507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.326950429 -0.37989499 +9509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.636681393 -0.37989499 +9511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.134797402 -0.37989499 +9512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.4044739 -0.37989499 +9513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.799884883 -0.37989499 +9510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.53561721 -0.37989499 +9515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.060477598 -0.37989499 +9514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.024281395 -0.37989499 +9516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.525930107 -0.37989499 +9517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.730898102 -0.37989499 +9518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.649894941 -0.37989499 +9519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.381193956 -0.37989499 +9520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.348469171 -0.37989499 +9522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.156266549 -0.37989499 +9523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.329975036 -0.37989499 +9524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.603670236 -0.37989499 +9525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.086287443 -0.37989499 +9521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.348891952 -0.37989499 +9526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.265261315 -0.37989499 +9527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.657183416 -0.37989499 +9529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.05751774 -0.37989499 +9531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.370358465 -0.37989499 +9530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.05718498 -0.37989499 +9532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.638411625 -0.37989499 +9528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.507318335 -0.37989499 +9533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.206332737 -0.37989499 +9534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.27741324 -0.37989499 +9535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.126829264 -0.37989499 +9536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.703884567 -0.37989499 +9537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.467102715 -0.37989499 +9540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.046910082 -0.37989499 +9538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.439535681 -0.37989499 +9539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.19031683 -0.37989499 +9542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.526539229 -0.37989499 +9541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.336685411 -0.37989499 +9543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.522461548 -0.37989499 +9545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.280802118 -0.37989499 +9544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.380008586 -0.37989499 +9546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.474232157 -0.37989499 +9547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.70650946 -0.37989499 +9548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.085495333 -0.37989499 +9549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.61161197 -0.37989499 +9550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.072643679 -0.37989499 +9551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.430385371 -0.37989499 +9552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.328144305 -0.37989499 +9553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.327860396 -0.37989499 +9554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.30373806 -0.37989499 +9556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.193251593 -0.37989499 +9555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.235471256 -0.37989499 +9557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.654840907 -0.37989499 +9560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.475569828 -0.37989499 +9561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.1828312 -0.37989499 +9562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.742308019 -0.37989499 +9559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.686758926 -0.37989499 +9563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.164015381 -0.37989499 +9564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.797981664 -0.37989499 +9558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.250086434 -0.37989499 +9565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.147078622 -0.37989499 +9566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.539812026 -0.37989499 +9567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.24214091 -0.37989499 +9569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.185480596 -0.37989499 +9570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.228608495 -0.37989499 +9568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.628313557 -0.37989499 +9571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.633321853 -0.37989499 +9572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.614663166 -0.37989499 +9573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.270145392 -0.37989499 +9575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.28764429 -0.37989499 +9577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.858437731 -0.37989499 +9576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.618460308 -0.37989499 +9578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.056640017 -0.37989499 +9579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.207715627 -0.37989499 +9574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.644014717 -0.37989499 +9580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.545485021 -0.37989499 +9581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.400718474 -0.37989499 +9582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.496809995 -0.37989499 +9583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.633463286 -0.37989499 +9586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.263680446 -0.37989499 +9587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.021192419 -0.37989499 +9584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.249644969 -0.37989499 +9585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.592193669 -0.37989499 +9588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.297513474 -0.37989499 +9589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.537942284 -0.37989499 +9590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.510470366 -0.37989499 +9591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.634737732 -0.37989499 +9595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.34019603 -0.37989499 +9594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.780935726 -0.37989499 +9592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.524251495 -0.37989499 +9593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.158820911 -0.37989499 +9597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.366943802 -0.37989499 +9596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.098047222 -0.37989499 +9598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.694177189 -0.37989499 +9599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.050491225 -0.37989499 +9601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.628190152 -0.37989499 +9600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.428191713 -0.37989499 +9602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.062486899 -0.37989499 +9603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.70272695 -0.37989499 +9604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.02033025 -0.37989499 +9607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.723333386 -0.37989499 +9606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.467536768 -0.37989499 +9608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.015318537 -0.37989499 +9609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.263225049 -0.37989499 +9611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.299813195 -0.37989499 +9605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.036043304 -0.37989499 +9610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.014425513 -0.37989499 +9612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.728553245 -0.37989499 +9613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.41537612 -0.37989499 +9614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.032025045 -0.37989499 +9616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.232730816 -0.37989499 +9615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.082685865 -0.37989499 +9617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.502294559 -0.37989499 +9618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.573462762 -0.37989499 +9619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.056252884 -0.37989499 +9620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.778467747 -0.37989499 +9622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.537180473 -0.37989499 +9624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 3.79E-04 -0.37989499 +9621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.646037685 -0.37989499 +9623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.417611229 -0.37989499 +9625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.8259951 -0.37989499 +9626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.716465635 -0.37989499 +9627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.344860053 -0.37989499 +9628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.239466083 -0.37989499 +9631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.342037415 -0.37989499 +9629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.180924635 -0.37989499 +9630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.630557286 -0.37989499 +9632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.336210662 -0.37989499 +9633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.361078787 -0.37989499 +9635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.088801503 -0.37989499 +9636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.484072048 -0.37989499 +9638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.410771762 -0.37989499 +9639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.384570218 -0.37989499 +9637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.22008967 -0.37989499 +9634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.255695718 -0.37989499 +9640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.831726607 -0.37989499 +9641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.231778578 -0.37989499 +9642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.551660506 -0.37989499 +9644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.493903334 -0.37989499 +9646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.710775636 -0.37989499 +9643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.001500448 -0.37989499 +9645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.685040881 -0.37989499 +9647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.401013886 -0.37989499 +9648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.018883563 -0.37989499 +9649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.314460287 -0.37989499 +9650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.077044058 -0.37989499 +9651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.085968447 -0.37989499 +9653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.215776574 -0.37989499 +9652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.802255157 -0.37989499 +9654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.514328918 -0.37989499 +9656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.079941147 -0.37989499 +9657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.291698365 -0.37989499 +9658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.825865458 -0.37989499 +9655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.14034492 -0.37989499 +9659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.264073898 -0.37989499 +9661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.16978724 -0.37989499 +9662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.452159956 -0.37989499 +9660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.170471114 -0.37989499 +9664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.083992551 -0.37989499 +9663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.115314767 -0.37989499 +9665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.028611665 -0.37989499 +9667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.690724845 -0.37989499 +9668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.60222064 -0.37989499 +9669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.751337203 -0.37989499 +9666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.071389308 -0.37989499 +9670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.271179643 -0.37989499 +9672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.859920482 -0.37989499 +9671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.881019687 -0.37989499 +9673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.444229337 -0.37989499 +9674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.503057021 -0.37989499 +9675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.560032962 -0.37989499 +9676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.636216183 -0.37989499 +9678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.483166497 -0.37989499 +9677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.722960091 -0.37989499 +9680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.072839932 -0.37989499 +9679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.035603469 -0.37989499 +9681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.398098814 -0.37989499 +9683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.372035453 -0.37989499 +9682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.5852262 -0.37989499 +9684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.146012388 -0.37989499 +9686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.019536186 -0.37989499 +9687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.484200248 -0.37989499 +9688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.66779004 -0.37989499 +9685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.462586489 -0.37989499 +9690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.475597899 -0.37989499 +9691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.048588479 -0.37989499 +9692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.112330265 -0.37989499 +9689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.052622028 -0.37989499 +9694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.822760834 -0.37989499 +9696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.284183588 -0.37989499 +9695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.385720844 -0.37989499 +9693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.068489545 -0.37989499 +9697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.250323456 -0.37989499 +9699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.671970483 -0.37989499 +9700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.739514329 -0.37989499 +9698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.375046127 -0.37989499 +9701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.758476846 -0.37989499 +9702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.078315484 -0.37989499 +9703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.718787997 -0.37989499 +9705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.178497768 -0.37989499 +9707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.315659591 -0.37989499 +9706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.406381047 -0.37989499 +9708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.720822564 -0.37989499 +9704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.043257047 -0.37989499 +9709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.665745618 -0.37989499 +9710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.44273365 -0.37989499 +9711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.099575077 -0.37989499 +9714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.293188955 -0.37989499 +9712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.024023752 -0.37989499 +9715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.76597193 -0.37989499 +9713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.263108267 -0.37989499 +9717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.33989556 -0.37989499 +9718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.809298427 -0.37989499 +9716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.216135976 -0.37989499 +9721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.199622353 -0.37989499 +9719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.027996831 -0.37989499 +9720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.386007598 -0.37989499 +9722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.092020417 -0.37989499 +9723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.440376934 -0.37989499 +9724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.326275021 -0.37989499 +9725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.049831934 -0.37989499 +9728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.172539308 -0.37989499 +9726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.562086282 -0.37989499 +9727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.408241164 -0.37989499 +9729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.738396745 -0.37989499 +9730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.557511618 -0.37989499 +9731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.215159012 -0.37989499 +9732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.020639559 -0.37989499 +9733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.011264302 -0.37989499 +9735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.63776809 -0.37989499 +9736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.095100551 -0.37989499 +9737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.553909785 -0.37989499 +9738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.388356957 -0.37989499 +9739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.037962347 -0.37989499 +9734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.849595785 -0.37989499 +9740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.92659106 -0.37989499 +9743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.77515356 -0.37989499 +9744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.112702499 -0.37989499 +9745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.41837587 -0.37989499 +9742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.5227339 -0.37989499 +9741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.427285867 -0.37989499 +9746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.179781582 -0.37989499 +9747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.755284253 -0.37989499 +9748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.206677146 -0.37989499 +9750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.039754196 -0.37989499 +9749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.103142442 -0.37989499 +9751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.490428716 -0.37989499 +9752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.82670679 -0.37989499 +9753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.657604665 -0.37989499 +9755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.471265133 -0.37989499 +9754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.561018326 -0.37989499 +9756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.167646978 -0.37989499 +9758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.196283229 -0.37989499 +9757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.226537608 -0.37989499 +9761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.791416336 -0.37989499 +9763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.281977501 -0.37989499 +9759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.141886188 -0.37989499 +9760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.206462357 -0.37989499 +9764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.699583032 -0.37989499 +9762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.166094023 -0.37989499 +9765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.242923545 -0.37989499 +9766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.40397248 -0.37989499 +9767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.360274361 -0.37989499 +9769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.269104154 -0.37989499 +9771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.643485435 -0.37989499 +9768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.155149604 -0.37989499 +9772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.036679815 -0.37989499 +9770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.046226687 -0.37989499 +9773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.675404642 -0.37989499 +9774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.463709697 -0.37989499 +9775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.529049219 -0.37989499 +9778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.037456012 -0.37989499 +9777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.051821481 -0.37989499 +9776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.465058154 -0.37989499 +9779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.571021524 -0.37989499 +9780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.559115286 -0.37989499 +9782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.064714011 -0.37989499 +9781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.352288515 -0.37989499 +9784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.417425409 -0.37989499 +9783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.339661444 -0.37989499 +9785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.343422701 -0.37989499 +9786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.504563939 -0.37989499 +9787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.734361144 -0.37989499 +9789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.461878962 -0.37989499 +9788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.831498101 -0.37989499 +9790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.513080155 -0.37989499 +9792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.178008617 -0.37989499 +9793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.312900935 -0.37989499 +9794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.419213781 -0.37989499 +9795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.304192541 -0.37989499 +9791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.497752662 -0.37989499 +9796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.237039799 -0.37989499 +9798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.315719182 -0.37989499 +9797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.131106625 -0.37989499 +9799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.132645714 -0.37989499 +9800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.225678714 -0.37989499 +9801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.578214889 -0.37989499 +9803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.017516931 -0.37989499 +9802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.008496133 -0.37989499 +9804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.718952921 -0.37989499 +9805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.029834969 -0.37989499 +9808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.024267064 -0.37989499 +9806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.806488488 -0.37989499 +9809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.557406972 -0.37989499 +9807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.607401166 -0.37989499 +9811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.098174744 -0.37989499 +9812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.335594145 -0.37989499 +9810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.592183767 -0.37989499 +9813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.602036833 -0.37989499 +9814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.039139318 -0.37989499 +9816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.038222365 -0.37989499 +9815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.166005482 -0.37989499 +9817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.044238118 -0.37989499 +9820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.330033178 -0.37989499 +9819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.696548031 -0.37989499 +9821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.732306405 -0.37989499 +9818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.154723963 -0.37989499 +9822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.761376784 -0.37989499 +9823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.515505576 -0.37989499 +9825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.016451031 -0.37989499 +9826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.248806321 -0.37989499 +9827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.229852832 -0.37989499 +9828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.26253149 -0.37989499 +9829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.058398638 -0.37989499 +9830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.467090868 -0.37989499 +9824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.100504039 -0.37989499 +9831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.055565868 -0.37989499 +9832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.074701301 -0.37989499 +9835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.346733488 -0.37989499 +9834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.056459007 -0.37989499 +9836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.830526988 -0.37989499 +9833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.649060766 -0.37989499 +9837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.758452289 -0.37989499 +9838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.329324668 -0.37989499 +9839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.629588042 -0.37989499 +9840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.74916938 -0.37989499 +9841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.005428269 -0.37989499 +9844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.48894389 -0.37989499 +9842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.552325988 -0.37989499 +9843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.478337966 -0.37989499 +9845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.057120495 -0.37989499 +9847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.30900871 -0.37989499 +9846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.019967083 -0.37989499 +9849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.115937105 -0.37989499 +9848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.460817375 -0.37989499 +9850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.364653503 -0.37989499 +9851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.267868735 -0.37989499 +9852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.522753811 -0.37989499 +9853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.40990297 -0.37989499 +9854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.400913735 -0.37989499 +9856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.036387628 -0.37989499 +9855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.287265386 -0.37989499 +9857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.346950547 -0.37989499 +9858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.408546701 -0.37989499 +9859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.676192164 -0.37989499 +9861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.137305569 -0.37989499 +9862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.483075781 -0.37989499 +9860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.080379417 -0.37989499 +9863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.774502768 -0.37989499 +9867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.049950426 -0.37989499 +9866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.315754564 -0.37989499 +9868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.329255543 -0.37989499 +9865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.010945879 -0.37989499 +9869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.059707914 -0.37989499 +9871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.082592256 -0.37989499 +9870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.619030768 -0.37989499 +9864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.051441378 -0.37989499 +9872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.319896052 -0.37989499 +9873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.738964275 -0.37989499 +9874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.508496552 -0.37989499 +9875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.599555061 -0.37989499 +9876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.384861787 -0.37989499 +9878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.004268771 -0.37989499 +9879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.524880017 -0.37989499 +9877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.117497731 -0.37989499 +9881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.531484298 -0.37989499 +9880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.616473858 -0.37989499 +9882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.666211713 -0.37989499 +9883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.338006006 -0.37989499 +9884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.820217259 -0.37989499 +9885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.004622658 -0.37989499 +9887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.320455892 -0.37989499 +9886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.437190664 -0.37989499 +9888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.092100699 -0.37989499 +9889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.155858974 -0.37989499 +9890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.389002597 -0.37989499 +9891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.660388747 -0.37989499 +9894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.168726758 -0.37989499 +9893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.402111465 -0.37989499 +9892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.154870898 -0.37989499 +9895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.23744368 -0.37989499 +9896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.260515263 -0.37989499 +9897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.273751247 -0.37989499 +9899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.439986885 -0.37989499 +9898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.541674079 -0.37989499 +9901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.756171808 -0.37989499 +9900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.543916439 -0.37989499 +9902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.11199851 -0.37989499 +9903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.205288727 -0.37989499 +9904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.149859015 -0.37989499 +9905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.035827124 -0.37989499 +9906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.027209731 -0.37989499 +9908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.213055441 -0.37989499 +9909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.660237474 -0.37989499 +9910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.476742156 -0.37989499 +9911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.38896989 -0.37989499 +9907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.550029699 -0.37989499 +9913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.64788474 -0.37989499 +9912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.181577953 -0.37989499 +9914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.297005184 -0.37989499 +9915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.167172415 -0.37989499 +9916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.643395015 -0.37989499 +9917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.463591544 -0.37989499 +9918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.007483132 -0.37989499 +9919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.360590381 -0.37989499 +9920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.821507182 -0.37989499 +9921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.715112002 -0.37989499 +9922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.439712342 -0.37989499 +9924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.248673861 -0.37989499 +9925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.23776266 -0.37989499 +9926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.804199643 -0.37989499 +9928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.061863721 -0.37989499 +9923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.496806814 -0.37989499 +9927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.032764248 -0.37989499 +9929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.780506495 -0.37989499 +9931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.530949229 -0.37989499 +9930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.530808506 -0.37989499 +9933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.668093039 -0.37989499 +9932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.777819878 -0.37989499 +9934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.307648499 -0.37989499 +9935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.043100892 -0.37989499 +9937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.106951023 -0.37989499 +9936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.173691333 -0.37989499 +9938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.18679687 -0.37989499 +9939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.420576947 -0.37989499 +9941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.78366366 -0.37989499 +9940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.417859509 -0.37989499 +9942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.494821084 -0.37989499 +9944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.800428728 -0.37989499 +9943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.760751528 -0.37989499 +9945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.018678389 -0.37989499 +9946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.076358851 -0.37989499 +9947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.03540476 -0.37989499 +9948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.791480782 -0.37989499 +9949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.765711971 -0.37989499 +9950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.21292707 -0.37989499 +9952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.716366348 -0.37989499 +9954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.031313227 -0.37989499 +9956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.375532526 -0.37989499 +9955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.085636796 -0.37989499 +9957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.799227784 -0.37989499 +9951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.496892251 -0.37989499 +9953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.881792949 -0.37989499 +9959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.199211721 -0.37989499 +9958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.35518278 -0.37989499 +9961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.032435231 -0.37989499 +9960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.664770946 -0.37989499 +9962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.088006607 -0.37989499 +9964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.490031745 -0.37989499 +9963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.184766088 -0.37989499 +9965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.538041167 -0.37989499 +9967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.126416766 -0.37989499 +9966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.528797386 -0.37989499 +9968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.297024872 -0.37989499 +9970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.740828724 -0.37989499 +9969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.207261795 -0.37989499 +9972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.255574243 -0.37989499 +9971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.521369313 -0.37989499 +9975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.12640295 -0.37989499 +9976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.794333484 -0.37989499 +9973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.818477011 -0.37989499 +9978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.361436515 -0.37989499 +9977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 0.032053136 -0.37989499 +9974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.155663152 -0.37989499 +9979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.542202554 -0.37989499 +9980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.673927353 -0.37989499 +9981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.304697404 -0.37989499 +9982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.573440339 -0.37989499 +9986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.332623695 -0.37989499 +9985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.033319721 -0.37989499 +9984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.695289471 -0.37989499 +9983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.40744489 -0.37989499 +9988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.449830643 -0.37989499 +9987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.724140301 -0.37989499 +9989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.338053968 -0.37989499 +9990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.236245226 -0.37989499 +9991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.271429575 -0.37989499 +9992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.668508082 -0.37989499 +9993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.020525482 -0.37989499 +9994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.696671177 -0.37989499 +9995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.350722439 -0.37989499 +9996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.327655788 -0.37989499 +9997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.075082417 -0.37989499 +9998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.610588714 -0.37989499 +10000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.452304198 -0.37989499 +9999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.55 10 1 -0.688739856 -0.37989499 +10001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.430096384 -0.371886927 +10002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.076480231 -0.371886927 +10003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.158548526 -0.371886927 +10006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.398458074 -0.371886927 +10004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.689095013 -0.371886927 +10005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.185759705 -0.371886927 +10007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.072284534 -0.371886927 +10008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.16609806 -0.371886927 +10010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.092673879 -0.371886927 +10009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.012834554 -0.371886927 +10012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.701530032 -0.371886927 +10013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.491785201 -0.371886927 +10014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.320867862 -0.371886927 +10011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.745305794 -0.371886927 +10016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.515591663 -0.371886927 +10015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.234029969 -0.371886927 +10020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.167715399 -0.371886927 +10018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.318606821 -0.371886927 +10019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.17586111 -0.371886927 +10022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.721346363 -0.371886927 +10024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.342357678 -0.371886927 +10023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.284894499 -0.371886927 +10021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.5545934 -0.371886927 +10017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.774589123 -0.371886927 +10026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.258753371 -0.371886927 +10027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.485823158 -0.371886927 +10025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.529326613 -0.371886927 +10029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.160376551 -0.371886927 +10028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.370738054 -0.371886927 +10030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.832380842 -0.371886927 +10031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.01741642 -0.371886927 +10032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.2134306 -0.371886927 +10033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.694720972 -0.371886927 +10034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.474618256 -0.371886927 +10035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.341455934 -0.371886927 +10036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.409983857 -0.371886927 +10038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.657728623 -0.371886927 +10040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.141929316 -0.371886927 +10037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.348772368 -0.371886927 +10039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.358636717 -0.371886927 +10042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.43771652 -0.371886927 +10041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.233603067 -0.371886927 +10043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.552492591 -0.371886927 +10044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.135028449 -0.371886927 +10045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.413084166 -0.371886927 +10047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.162428264 -0.371886927 +10046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.084668301 -0.371886927 +10049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.071447409 -0.371886927 +10048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.401526761 -0.371886927 +10050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.257272216 -0.371886927 +10051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.640296456 -0.371886927 +10052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.549390982 -0.371886927 +10053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.164967596 -0.371886927 +10056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.020649683 -0.371886927 +10055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.217576355 -0.371886927 +10054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.438956732 -0.371886927 +10060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.075619238 -0.371886927 +10059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.724240884 -0.371886927 +10058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.255500484 -0.371886927 +10061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -6.32E-04 -0.371886927 +10057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.636541284 -0.371886927 +10062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.622506365 -0.371886927 +10064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.075956205 -0.371886927 +10063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.597419133 -0.371886927 +10065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.769246021 -0.371886927 +10068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.011097217 -0.371886927 +10066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.190908157 -0.371886927 +10067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.331959172 -0.371886927 +10069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.214875593 -0.371886927 +10070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.809116991 -0.371886927 +10071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.290350491 -0.371886927 +10072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.693612923 -0.371886927 +10073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.803583261 -0.371886927 +10075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.529373691 -0.371886927 +10076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.101784736 -0.371886927 +10074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.464727581 -0.371886927 +10078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.098356346 -0.371886927 +10080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.362160723 -0.371886927 +10079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.816452701 -0.371886927 +10081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.732833634 -0.371886927 +10077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.733989121 -0.371886927 +10084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.054562657 -0.371886927 +10082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.629609464 -0.371886927 +10085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.232935207 -0.371886927 +10083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.487883236 -0.371886927 +10086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.312747582 -0.371886927 +10087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.684166368 -0.371886927 +10088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.079353352 -0.371886927 +10089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.416556836 -0.371886927 +10090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.168777438 -0.371886927 +10091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.280773815 -0.371886927 +10092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.70706106 -0.371886927 +10093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.074243225 -0.371886927 +10094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.428344714 -0.371886927 +10096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.777737268 -0.371886927 +10095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.167673491 -0.371886927 +10098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.560693775 -0.371886927 +10099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.49555662 -0.371886927 +10100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.587505324 -0.371886927 +10101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.04916116 -0.371886927 +10097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.18674764 -0.371886927 +10103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.380024332 -0.371886927 +10102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.227842216 -0.371886927 +10105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.428936049 -0.371886927 +10104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.554079278 -0.371886927 +10107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.154196162 -0.371886927 +10109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.403092198 -0.371886927 +10108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.555780751 -0.371886927 +10106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.478439282 -0.371886927 +10110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.040973016 -0.371886927 +10111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.287863926 -0.371886927 +10112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.245571247 -0.371886927 +10113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.793602049 -0.371886927 +10114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.168672095 -0.371886927 +10117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.255974522 -0.371886927 +10118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.383677374 -0.371886927 +10116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.682387712 -0.371886927 +10115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.753100897 -0.371886927 +10119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.258420711 -0.371886927 +10120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.286541896 -0.371886927 +10121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.704222698 -0.371886927 +10122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.495882886 -0.371886927 +10125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.537756015 -0.371886927 +10124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.150907551 -0.371886927 +10123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.583100707 -0.371886927 +10128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.212461279 -0.371886927 +10126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.244624357 -0.371886927 +10129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.277298826 -0.371886927 +10127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.333970256 -0.371886927 +10130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.006436636 -0.371886927 +10131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.417864222 -0.371886927 +10132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.557435903 -0.371886927 +10133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.567275531 -0.371886927 +10134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.397054293 -0.371886927 +10137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.447658376 -0.371886927 +10138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.034587418 -0.371886927 +10140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.587848186 -0.371886927 +10139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.151752973 -0.371886927 +10136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.718396408 -0.371886927 +10135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.660199018 -0.371886927 +10142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.373889115 -0.371886927 +10141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.004701491 -0.371886927 +10143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.436201217 -0.371886927 +10144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.111939624 -0.371886927 +10147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.776045812 -0.371886927 +10145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.149597661 -0.371886927 +10146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.229402932 -0.371886927 +10148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.58593468 -0.371886927 +10149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.531406466 -0.371886927 +10150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.511430687 -0.371886927 +10151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.020730926 -0.371886927 +10152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.001596767 -0.371886927 +10154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.654747957 -0.371886927 +10157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.1803984 -0.371886927 +10153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.422033008 -0.371886927 +10159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.819480306 -0.371886927 +10155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.010000168 -0.371886927 +10158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.064949971 -0.371886927 +10156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.463721258 -0.371886927 +10160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.387965745 -0.371886927 +10161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.729762017 -0.371886927 +10162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.145093124 -0.371886927 +10163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.635852818 -0.371886927 +10165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.569705377 -0.371886927 +10167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.101885316 -0.371886927 +10168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.684505035 -0.371886927 +10169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.522938034 -0.371886927 +10164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.205818326 -0.371886927 +10166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.665290178 -0.371886927 +10171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.118334095 -0.371886927 +10172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.232729242 -0.371886927 +10170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.702307431 -0.371886927 +10173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.744676628 -0.371886927 +10174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.032924515 -0.371886927 +10175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.309073846 -0.371886927 +10176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.294968153 -0.371886927 +10177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.700634365 -0.371886927 +10178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.789874772 -0.371886927 +10180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.569296459 -0.371886927 +10179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.311180647 -0.371886927 +10182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.0464875 -0.371886927 +10183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.62406833 -0.371886927 +10184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.095016044 -0.371886927 +10181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.284662149 -0.371886927 +10186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.5611562 -0.371886927 +10187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.330051204 -0.371886927 +10188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.210586691 -0.371886927 +10185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.029599749 -0.371886927 +10189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.327145958 -0.371886927 +10190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.735589428 -0.371886927 +10191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.257428678 -0.371886927 +10192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.33893624 -0.371886927 +10194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.527159322 -0.371886927 +10196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.674650248 -0.371886927 +10193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.668076631 -0.371886927 +10197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.457441656 -0.371886927 +10195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.065179533 -0.371886927 +10198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.403769487 -0.371886927 +10199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.003924635 -0.371886927 +10201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.520272835 -0.371886927 +10202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.455004139 -0.371886927 +10203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.691318302 -0.371886927 +10204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.597214947 -0.371886927 +10205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.31437183 -0.371886927 +10206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.375244521 -0.371886927 +10207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.558604321 -0.371886927 +10200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.265668582 -0.371886927 +10208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.173192467 -0.371886927 +10210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.290459779 -0.371886927 +10211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.16754724 -0.371886927 +10212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.636262815 -0.371886927 +10213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.053437624 -0.371886927 +10214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.286450505 -0.371886927 +10209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.75490015 -0.371886927 +10216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.359597377 -0.371886927 +10215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.166860195 -0.371886927 +10217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.741446374 -0.371886927 +10218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.301699176 -0.371886927 +10219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.031968568 -0.371886927 +10220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.157057986 -0.371886927 +10221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.700563464 -0.371886927 +10222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.123815309 -0.371886927 +10223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.525775005 -0.371886927 +10225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.347352244 -0.371886927 +10226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.711709232 -0.371886927 +10227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.370418377 -0.371886927 +10228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.504456552 -0.371886927 +10224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.490372569 -0.371886927 +10229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.539948103 -0.371886927 +10230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.517966967 -0.371886927 +10231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.614534846 -0.371886927 +10233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.657380943 -0.371886927 +10235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.166318091 -0.371886927 +10234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.208801774 -0.371886927 +10237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.555986594 -0.371886927 +10232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.568800423 -0.371886927 +10236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.744891549 -0.371886927 +10239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.048623369 -0.371886927 +10238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.049012276 -0.371886927 +10240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.542877749 -0.371886927 +10241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.377446387 -0.371886927 +10242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.447447469 -0.371886927 +10246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.224644929 -0.371886927 +10244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.614328985 -0.371886927 +10247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.028247838 -0.371886927 +10243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.699173153 -0.371886927 +10248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.670754076 -0.371886927 +10245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.156732321 -0.371886927 +10249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.188509771 -0.371886927 +10250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.61341841 -0.371886927 +10251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.666905407 -0.371886927 +10252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.679472671 -0.371886927 +10253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.27876887 -0.371886927 +10254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.070635001 -0.371886927 +10255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.533987988 -0.371886927 +10257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.297148732 -0.371886927 +10256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.721522784 -0.371886927 +10259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.697015446 -0.371886927 +10258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.133777165 -0.371886927 +10261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.158743065 -0.371886927 +10260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.773595776 -0.371886927 +10263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.062195391 -0.371886927 +10264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.808333026 -0.371886927 +10265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.305683798 -0.371886927 +10262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.269011838 -0.371886927 +10266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.444629438 -0.371886927 +10267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.050774969 -0.371886927 +10268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.205573698 -0.371886927 +10269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.020643551 -0.371886927 +10271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.558051472 -0.371886927 +10270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.124196404 -0.371886927 +10272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.551484436 -0.371886927 +10274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.596991538 -0.371886927 +10273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.15165835 -0.371886927 +10275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.474685982 -0.371886927 +10276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.519827291 -0.371886927 +10277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.25024278 -0.371886927 +10278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.33571901 -0.371886927 +10279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.636816958 -0.371886927 +10280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.091390728 -0.371886927 +10281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.111412884 -0.371886927 +10282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.615174598 -0.371886927 +10283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.326928274 -0.371886927 +10284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.106045596 -0.371886927 +10285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.486940492 -0.371886927 +10286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.764793226 -0.371886927 +10287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.777703406 -0.371886927 +10288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.186013889 -0.371886927 +10289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.079745523 -0.371886927 +10290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.363735633 -0.371886927 +10292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.716900652 -0.371886927 +10291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.632159253 -0.371886927 +10293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.626695386 -0.371886927 +10294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.475523521 -0.371886927 +10295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.38246622 -0.371886927 +10296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.310901338 -0.371886927 +10297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.587577265 -0.371886927 +10300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.265085951 -0.371886927 +10299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.435832457 -0.371886927 +10298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.231056514 -0.371886927 +10301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.512137918 -0.371886927 +10303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.032228837 -0.371886927 +10302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.052571348 -0.371886927 +10305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.586432011 -0.371886927 +10304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.13009651 -0.371886927 +10306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.041815625 -0.371886927 +10307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.369286505 -0.371886927 +10310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.286108454 -0.371886927 +10309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.155943527 -0.371886927 +10308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.563003898 -0.371886927 +10311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.480320594 -0.371886927 +10313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.048657836 -0.371886927 +10312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.169058053 -0.371886927 +10315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.404694257 -0.371886927 +10314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.559584404 -0.371886927 +10316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.466026138 -0.371886927 +10317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.398952258 -0.371886927 +10319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.598464143 -0.371886927 +10320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.360752724 -0.371886927 +10321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.63330841 -0.371886927 +10318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.127669958 -0.371886927 +10323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.639634961 -0.371886927 +10324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.421514655 -0.371886927 +10322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.756455047 -0.371886927 +10325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.649600215 -0.371886927 +10326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.115703223 -0.371886927 +10327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.677282569 -0.371886927 +10328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.528733826 -0.371886927 +10329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.727903174 -0.371886927 +10330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.656329304 -0.371886927 +10332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.372667145 -0.371886927 +10331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.221088376 -0.371886927 +10333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.40942557 -0.371886927 +10334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.313399372 -0.371886927 +10335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.680767045 -0.371886927 +10336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.320992592 -0.371886927 +10337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.636234569 -0.371886927 +10340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.05093342 -0.371886927 +10338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.099936655 -0.371886927 +10339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.479634249 -0.371886927 +10341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.405289251 -0.371886927 +10343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.399914248 -0.371886927 +10342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.757971448 -0.371886927 +10344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.090844736 -0.371886927 +10345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.792179458 -0.371886927 +10346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.619540896 -0.371886927 +10347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.268620104 -0.371886927 +10348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.547706768 -0.371886927 +10349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.717425099 -0.371886927 +10350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.036807861 -0.371886927 +10351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.068041952 -0.371886927 +10352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.556078496 -0.371886927 +10354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.568659524 -0.371886927 +10353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.015478242 -0.371886927 +10356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.031640639 -0.371886927 +10355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.433423793 -0.371886927 +10357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.165417017 -0.371886927 +10360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.228818086 -0.371886927 +10359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.384625614 -0.371886927 +10358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.727251986 -0.371886927 +10361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.005713826 -0.371886927 +10364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.45894031 -0.371886927 +10362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.680325906 -0.371886927 +10365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.395691102 -0.371886927 +10363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.622943718 -0.371886927 +10366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.460388048 -0.371886927 +10368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.205304279 -0.371886927 +10367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.27918071 -0.371886927 +10369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.502980684 -0.371886927 +10370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.457991278 -0.371886927 +10372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.664061803 -0.371886927 +10373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.305891505 -0.371886927 +10374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.275734014 -0.371886927 +10375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.705786662 -0.371886927 +10376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.235678115 -0.371886927 +10371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.622888128 -0.371886927 +10377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.255412328 -0.371886927 +10378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.348822223 -0.371886927 +10379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.32566014 -0.371886927 +10380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.136388533 -0.371886927 +10381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.20997263 -0.371886927 +10382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.174765389 -0.371886927 +10383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.440231098 -0.371886927 +10384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.071525538 -0.371886927 +10385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.565555146 -0.371886927 +10386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.561486877 -0.371886927 +10387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.570889656 -0.371886927 +10388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.126819337 -0.371886927 +10389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.227132024 -0.371886927 +10390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.64319797 -0.371886927 +10391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.720165647 -0.371886927 +10394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.592684732 -0.371886927 +10393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.492473246 -0.371886927 +10395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.441965343 -0.371886927 +10396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.009236953 -0.371886927 +10392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.494769355 -0.371886927 +10397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.69588727 -0.371886927 +10399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.097466304 -0.371886927 +10398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.183783349 -0.371886927 +10401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.026160164 -0.371886927 +10400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.094545851 -0.371886927 +10402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.154593624 -0.371886927 +10403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.445344404 -0.371886927 +10405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.244355964 -0.371886927 +10404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.406450795 -0.371886927 +10407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.730745603 -0.371886927 +10406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.533890626 -0.371886927 +10409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.386605418 -0.371886927 +10408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.652649741 -0.371886927 +10410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.638107786 -0.371886927 +10411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.152117423 -0.371886927 +10412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.162829102 -0.371886927 +10413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.388209431 -0.371886927 +10415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.418394158 -0.371886927 +10414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.744659061 -0.371886927 +10416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.115491639 -0.371886927 +10417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.331834274 -0.371886927 +10419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.25971865 -0.371886927 +10418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.100433565 -0.371886927 +10420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.277113353 -0.371886927 +10423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.564622814 -0.371886927 +10421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.287043714 -0.371886927 +10422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.424206049 -0.371886927 +10424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.276276438 -0.371886927 +10425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.033952208 -0.371886927 +10427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.776437086 -0.371886927 +10428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.157134113 -0.371886927 +10426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.352691516 -0.371886927 +10429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.478467849 -0.371886927 +10430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.385676804 -0.371886927 +10431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.691647541 -0.371886927 +10432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.389531075 -0.371886927 +10433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.881814818 -0.371886927 +10434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.283082871 -0.371886927 +10435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.453466184 -0.371886927 +10436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.455680263 -0.371886927 +10437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.459080111 -0.371886927 +10439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.288184346 -0.371886927 +10440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.390146093 -0.371886927 +10441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.026890774 -0.371886927 +10438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.274515164 -0.371886927 +10442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.78669886 -0.371886927 +10443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.367677972 -0.371886927 +10444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.153199172 -0.371886927 +10445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.007407128 -0.371886927 +10446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.072430883 -0.371886927 +10447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.46373263 -0.371886927 +10448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.06872219 -0.371886927 +10449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.332327493 -0.371886927 +10450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.010363937 -0.371886927 +10451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.602702362 -0.371886927 +10452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.339229716 -0.371886927 +10453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.225547996 -0.371886927 +10454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.424607405 -0.371886927 +10456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.031553383 -0.371886927 +10455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.276729696 -0.371886927 +10457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.553375855 -0.371886927 +10458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.032224367 -0.371886927 +10459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.538243998 -0.371886927 +10460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.600856635 -0.371886927 +10461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.764461517 -0.371886927 +10463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.624965495 -0.371886927 +10462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.186600974 -0.371886927 +10464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.707883825 -0.371886927 +10465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.191068271 -0.371886927 +10467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.584650981 -0.371886927 +10466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.032483481 -0.371886927 +10468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.422675473 -0.371886927 +10469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.352346731 -0.371886927 +10471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.28556701 -0.371886927 +10470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.637247363 -0.371886927 +10472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.141759765 -0.371886927 +10475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.298821297 -0.371886927 +10473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.543377382 -0.371886927 +10474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.304477116 -0.371886927 +10476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.410898734 -0.371886927 +10477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.13910915 -0.371886927 +10478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.618499735 -0.371886927 +10479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.004948046 -0.371886927 +10480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.575846193 -0.371886927 +10481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.015170977 -0.371886927 +10483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.713974348 -0.371886927 +10484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.072234253 -0.371886927 +10485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.038343807 -0.371886927 +10482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.050690997 -0.371886927 +10486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.459599002 -0.371886927 +10487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.74559437 -0.371886927 +10488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.483191402 -0.371886927 +10489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.345131569 -0.371886927 +10490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.684263192 -0.371886927 +10491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.324267609 -0.371886927 +10492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.067845439 -0.371886927 +10494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.568853648 -0.371886927 +10495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.106046459 -0.371886927 +10493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.155789754 -0.371886927 +10496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.055492817 -0.371886927 +10497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.503768764 -0.371886927 +10498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.465994166 -0.371886927 +10499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.00305322 -0.371886927 +10500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.277337591 -0.371886927 +10502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.068421407 -0.371886927 +10504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.306930775 -0.371886927 +10501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.836568302 -0.371886927 +10503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.46050285 -0.371886927 +10505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.040219952 -0.371886927 +10506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.516088027 -0.371886927 +10507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.06738301 -0.371886927 +10509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.449956699 -0.371886927 +10508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.67679519 -0.371886927 +10511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.348925389 -0.371886927 +10510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.763046597 -0.371886927 +10512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.45377151 -0.371886927 +10513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.338858046 -0.371886927 +10514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.012051684 -0.371886927 +10515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.31534704 -0.371886927 +10516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.398216022 -0.371886927 +10517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.483100829 -0.371886927 +10519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.254623055 -0.371886927 +10518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.373717137 -0.371886927 +10520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.385830983 -0.371886927 +10521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.227927782 -0.371886927 +10522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.361712966 -0.371886927 +10523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.747393824 -0.371886927 +10524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.192757962 -0.371886927 +10525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.753607283 -0.371886927 +10527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.302581692 -0.371886927 +10526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.527592189 -0.371886927 +10530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.343423975 -0.371886927 +10529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.367359432 -0.371886927 +10531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.111854879 -0.371886927 +10532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.036000626 -0.371886927 +10528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.632346883 -0.371886927 +10534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.003609015 -0.371886927 +10533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.513350556 -0.371886927 +10535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.163289717 -0.371886927 +10536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.61177288 -0.371886927 +10537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.078525625 -0.371886927 +10539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.049223659 -0.371886927 +10538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.461504018 -0.371886927 +10541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.742569651 -0.371886927 +10542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.032983192 -0.371886927 +10540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.138068336 -0.371886927 +10543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.207100802 -0.371886927 +10544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.299418773 -0.371886927 +10545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.670004345 -0.371886927 +10546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.480601861 -0.371886927 +10547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.654750321 -0.371886927 +10548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.295407114 -0.371886927 +10549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.214013014 -0.371886927 +10550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.269955943 -0.371886927 +10551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.080245157 -0.371886927 +10553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.478340041 -0.371886927 +10554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.00896248 -0.371886927 +10552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.195907644 -0.371886927 +10555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.171184598 -0.371886927 +10556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.407614621 -0.371886927 +10557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.708307968 -0.371886927 +10558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.613242977 -0.371886927 +10559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.742910894 -0.371886927 +10560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.137376185 -0.371886927 +10561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.460410935 -0.371886927 +10562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.251606745 -0.371886927 +10563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.681481275 -0.371886927 +10564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.03288746 -0.371886927 +10565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.066850536 -0.371886927 +10567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.308269603 -0.371886927 +10568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.5075679 -0.371886927 +10566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.460842794 -0.371886927 +10569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.010579736 -0.371886927 +10570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.198171578 -0.371886927 +10571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.389301272 -0.371886927 +10573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.407123929 -0.371886927 +10572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.105212093 -0.371886927 +10574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.454908832 -0.371886927 +10575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.404967267 -0.371886927 +10579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.064736033 -0.371886927 +10577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.081016558 -0.371886927 +10578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.676027252 -0.371886927 +10576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.889380033 -0.371886927 +10581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.652495049 -0.371886927 +10580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.227380312 -0.371886927 +10582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.07430498 -0.371886927 +10583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.262631888 -0.371886927 +10584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.454431409 -0.371886927 +10586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.101740855 -0.371886927 +10585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.653117157 -0.371886927 +10587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.736222215 -0.371886927 +10588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.282784944 -0.371886927 +10589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.448007178 -0.371886927 +10590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.483877283 -0.371886927 +10591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.55155374 -0.371886927 +10592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.165989642 -0.371886927 +10594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.041706028 -0.371886927 +10593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.78285697 -0.371886927 +10595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.874019376 -0.371886927 +10597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.571500292 -0.371886927 +10596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.487540586 -0.371886927 +10598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.460820257 -0.371886927 +10599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.390008301 -0.371886927 +10601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.214425869 -0.371886927 +10602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.019929375 -0.371886927 +10600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.858507227 -0.371886927 +10603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.259315721 -0.371886927 +10604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.123974163 -0.371886927 +10605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.328613938 -0.371886927 +10606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.805212428 -0.371886927 +10607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.080728691 -0.371886927 +10608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.13865146 -0.371886927 +10610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.470887643 -0.371886927 +10609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.56055622 -0.371886927 +10612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.39140854 -0.371886927 +10613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.296679373 -0.371886927 +10614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.356423402 -0.371886927 +10615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.623158856 -0.371886927 +10616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.561266644 -0.371886927 +10617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.715369784 -0.371886927 +10611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.084517788 -0.371886927 +10618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.346671155 -0.371886927 +10620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.501313771 -0.371886927 +10621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.648614439 -0.371886927 +10619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.545862766 -0.371886927 +10622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.522576567 -0.371886927 +10623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.8204912 -0.371886927 +10626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.551411063 -0.371886927 +10625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.785772088 -0.371886927 +10624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.75931304 -0.371886927 +10627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.694850102 -0.371886927 +10628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.386174317 -0.371886927 +10629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.144155355 -0.371886927 +10630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.041807031 -0.371886927 +10631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.091366115 -0.371886927 +10632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.215594817 -0.371886927 +10633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.064308556 -0.371886927 +10634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.660993109 -0.371886927 +10636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.881050315 -0.371886927 +10638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.370725328 -0.371886927 +10637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.549475323 -0.371886927 +10635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.686860199 -0.371886927 +10639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.75801345 -0.371886927 +10640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.566862356 -0.371886927 +10641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.167966104 -0.371886927 +10642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.030299026 -0.371886927 +10643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.577392275 -0.371886927 +10646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.125104914 -0.371886927 +10644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.605087457 -0.371886927 +10645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.52876654 -0.371886927 +10648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.484118474 -0.371886927 +10647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.732481893 -0.371886927 +10650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.481075015 -0.371886927 +10653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.376446397 -0.371886927 +10651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.568211067 -0.371886927 +10652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.157369242 -0.371886927 +10649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.631584835 -0.371886927 +10654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.644507198 -0.371886927 +10655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.456427051 -0.371886927 +10656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.311020429 -0.371886927 +10657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.241636981 -0.371886927 +10659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.801832736 -0.371886927 +10658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.046005303 -0.371886927 +10660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.011876749 -0.371886927 +10661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.53428652 -0.371886927 +10663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.399556217 -0.371886927 +10664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.004239177 -0.371886927 +10662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.169401586 -0.371886927 +10665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.286879466 -0.371886927 +10666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.171226876 -0.371886927 +10667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.423192451 -0.371886927 +10668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.320733326 -0.371886927 +10671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.199895462 -0.371886927 +10672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.729068606 -0.371886927 +10670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.325799498 -0.371886927 +10669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.396950297 -0.371886927 +10673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.56853987 -0.371886927 +10674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.103753307 -0.371886927 +10675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.017982003 -0.371886927 +10677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.07141265 -0.371886927 +10679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.318721889 -0.371886927 +10678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.254902269 -0.371886927 +10676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.210419076 -0.371886927 +10680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.091122704 -0.371886927 +10681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.418654226 -0.371886927 +10682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.496053433 -0.371886927 +10684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.534524991 -0.371886927 +10683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.549679558 -0.371886927 +10686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.076286832 -0.371886927 +10685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.080156006 -0.371886927 +10687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.529075561 -0.371886927 +10689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.344352668 -0.371886927 +10690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.036977225 -0.371886927 +10688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.348936041 -0.371886927 +10691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.841189122 -0.371886927 +10692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.562944674 -0.371886927 +10694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.625150866 -0.371886927 +10695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.29948691 -0.371886927 +10693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.811531865 -0.371886927 +10696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.504609283 -0.371886927 +10697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.458239023 -0.371886927 +10699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.223339392 -0.371886927 +10698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.454990774 -0.371886927 +10701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.744786104 -0.371886927 +10700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.340374484 -0.371886927 +10702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.392629843 -0.371886927 +10703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.479248877 -0.371886927 +10704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.370399136 -0.371886927 +10705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.758367402 -0.371886927 +10706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.614921627 -0.371886927 +10707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.720281355 -0.371886927 +10709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.61207888 -0.371886927 +10708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.289876062 -0.371886927 +10710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.162727472 -0.371886927 +10711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.001714808 -0.371886927 +10712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.668644287 -0.371886927 +10713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.004044127 -0.371886927 +10714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.519490676 -0.371886927 +10716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.195670873 -0.371886927 +10717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.575556046 -0.371886927 +10718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.677764843 -0.371886927 +10719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.588886906 -0.371886927 +10715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.722097588 -0.371886927 +10720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.181521204 -0.371886927 +10721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.552086301 -0.371886927 +10722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.21830254 -0.371886927 +10723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.208189299 -0.371886927 +10724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.136722537 -0.371886927 +10725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.669079398 -0.371886927 +10726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.546265256 -0.371886927 +10728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.043306676 -0.371886927 +10731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.104266414 -0.371886927 +10729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.078728328 -0.371886927 +10730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.183497868 -0.371886927 +10727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.612935014 -0.371886927 +10732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.096941073 -0.371886927 +10733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.351676527 -0.371886927 +10734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.303972063 -0.371886927 +10735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.673983697 -0.371886927 +10736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.284681889 -0.371886927 +10737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.050292108 -0.371886927 +10738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.260595659 -0.371886927 +10740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.240974986 -0.371886927 +10739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.291292786 -0.371886927 +10741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.39165617 -0.371886927 +10742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.615410182 -0.371886927 +10743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.178882607 -0.371886927 +10745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.519796021 -0.371886927 +10744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.392312977 -0.371886927 +10746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.445596116 -0.371886927 +10747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.683625362 -0.371886927 +10749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.757800036 -0.371886927 +10748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.247351401 -0.371886927 +10750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.1372875 -0.371886927 +10751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.110628956 -0.371886927 +10752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.051855535 -0.371886927 +10753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.119763796 -0.371886927 +10754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.695066039 -0.371886927 +10755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.533960546 -0.371886927 +10756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.017663342 -0.371886927 +10757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.314616178 -0.371886927 +10758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.843607484 -0.371886927 +10759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.009946171 -0.371886927 +10762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.463228701 -0.371886927 +10763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.379724157 -0.371886927 +10761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.393229975 -0.371886927 +10760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.460895747 -0.371886927 +10764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.308575954 -0.371886927 +10766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.462177996 -0.371886927 +10765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.08069082 -0.371886927 +10767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.126064627 -0.371886927 +10768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.625875119 -0.371886927 +10769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.189268757 -0.371886927 +10770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.401733792 -0.371886927 +10771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.109396483 -0.371886927 +10772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.611956355 -0.371886927 +10773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.411323364 -0.371886927 +10775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.235739752 -0.371886927 +10774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.157914158 -0.371886927 +10776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.795328664 -0.371886927 +10777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.241864291 -0.371886927 +10778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.009479248 -0.371886927 +10779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.03361995 -0.371886927 +10780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.650717683 -0.371886927 +10781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.342494031 -0.371886927 +10782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.051347546 -0.371886927 +10784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.3750616 -0.371886927 +10785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.043306222 -0.371886927 +10783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.394979552 -0.371886927 +10786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.480577382 -0.371886927 +10787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.658570475 -0.371886927 +10788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.460729469 -0.371886927 +10789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.411056513 -0.371886927 +10790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.075492796 -0.371886927 +10791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.014171502 -0.371886927 +10794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.304933437 -0.371886927 +10792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.738553276 -0.371886927 +10795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.210078605 -0.371886927 +10793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.518522426 -0.371886927 +10796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.083215793 -0.371886927 +10797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.03036088 -0.371886927 +10798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.558872137 -0.371886927 +10799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.552691609 -0.371886927 +10800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.204896636 -0.371886927 +10801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.455818907 -0.371886927 +10802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.774288476 -0.371886927 +10804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.154394203 -0.371886927 +10803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.344026537 -0.371886927 +10805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.393961119 -0.371886927 +10807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.387443347 -0.371886927 +10806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.430303214 -0.371886927 +10808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.041673058 -0.371886927 +10809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.057087511 -0.371886927 +10810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.28031212 -0.371886927 +10811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.723235915 -0.371886927 +10812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.461503042 -0.371886927 +10813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.515773446 -0.371886927 +10814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.394588396 -0.371886927 +10815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.636752679 -0.371886927 +10816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.500436694 -0.371886927 +10817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.140801496 -0.371886927 +10818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.09211337 -0.371886927 +10819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.029600259 -0.371886927 +10821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.281684831 -0.371886927 +10820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.655427208 -0.371886927 +10822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.29271584 -0.371886927 +10824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.689112028 -0.371886927 +10823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.065561008 -0.371886927 +10825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.692749557 -0.371886927 +10826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.018630786 -0.371886927 +10827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.824408018 -0.371886927 +10828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.408439421 -0.371886927 +10830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.453884433 -0.371886927 +10831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.121658988 -0.371886927 +10829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.218325255 -0.371886927 +10832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.512152591 -0.371886927 +10833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.503213308 -0.371886927 +10834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.670280826 -0.371886927 +10835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.209989907 -0.371886927 +10836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.301213815 -0.371886927 +10837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.053010174 -0.371886927 +10838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.001253023 -0.371886927 +10839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.172786846 -0.371886927 +10840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.024122721 -0.371886927 +10841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.31968754 -0.371886927 +10842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.248869043 -0.371886927 +10843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.064755996 -0.371886927 +10844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.144945737 -0.371886927 +10845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.433241498 -0.371886927 +10846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.615545485 -0.371886927 +10848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.035333777 -0.371886927 +10847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.722425122 -0.371886927 +10849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.344254154 -0.371886927 +10851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.40403482 -0.371886927 +10850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.104574311 -0.371886927 +10853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.673821706 -0.371886927 +10854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.490712466 -0.371886927 +10852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.126568869 -0.371886927 +10855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.191125683 -0.371886927 +10857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.102086197 -0.371886927 +10856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.622006205 -0.371886927 +10858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.298366138 -0.371886927 +10859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.478116015 -0.371886927 +10860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.408612561 -0.371886927 +10862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.816646308 -0.371886927 +10861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.594059204 -0.371886927 +10863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.297942024 -0.371886927 +10864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.255549629 -0.371886927 +10866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.331844359 -0.371886927 +10867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.687662619 -0.371886927 +10868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.461831357 -0.371886927 +10870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.547582943 -0.371886927 +10869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.068244968 -0.371886927 +10865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.013558747 -0.371886927 +10871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.210238922 -0.371886927 +10872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.681511645 -0.371886927 +10873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.536060957 -0.371886927 +10874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.364691256 -0.371886927 +10875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.259647357 -0.371886927 +10877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.707854185 -0.371886927 +10876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.024128027 -0.371886927 +10878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.026669597 -0.371886927 +10879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.806737818 -0.371886927 +10880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.334092299 -0.371886927 +10881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.511967245 -0.371886927 +10882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.75722134 -0.371886927 +10883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.15163218 -0.371886927 +10884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.132636155 -0.371886927 +10885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.378933547 -0.371886927 +10887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.348677313 -0.371886927 +10886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.474372807 -0.371886927 +10889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.036919029 -0.371886927 +10890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.184234186 -0.371886927 +10891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.439411667 -0.371886927 +10893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.058117509 -0.371886927 +10888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.524742179 -0.371886927 +10892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.679425528 -0.371886927 +10894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.036296498 -0.371886927 +10896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.125899855 -0.371886927 +10895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.678300903 -0.371886927 +10897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.17318702 -0.371886927 +10898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.842182345 -0.371886927 +10899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.793625504 -0.371886927 +10901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.107921223 -0.371886927 +10900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.752321703 -0.371886927 +10903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.467490775 -0.371886927 +10904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.302864883 -0.371886927 +10902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.497180026 -0.371886927 +10907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.591544669 -0.371886927 +10906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.011351913 -0.371886927 +10905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.340907555 -0.371886927 +10909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.377295391 -0.371886927 +10908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.220961233 -0.371886927 +10910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.480212653 -0.371886927 +10912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.671158968 -0.371886927 +10913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.379606011 -0.371886927 +10915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.01488613 -0.371886927 +10914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.634975629 -0.371886927 +10911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.795766144 -0.371886927 +10916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.608616324 -0.371886927 +10917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.021882033 -0.371886927 +10918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.336215156 -0.371886927 +10920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.355052336 -0.371886927 +10919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.768741634 -0.371886927 +10922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.778861883 -0.371886927 +10924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.263758801 -0.371886927 +10921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.831930875 -0.371886927 +10923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.175164252 -0.371886927 +10925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.273427823 -0.371886927 +10926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.2844242 -0.371886927 +10928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.139865508 -0.371886927 +10929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.541044847 -0.371886927 +10931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.090920557 -0.371886927 +10927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.110805985 -0.371886927 +10930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.531543037 -0.371886927 +10932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.693134191 -0.371886927 +10933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.045889087 -0.371886927 +10934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.035746091 -0.371886927 +10935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.518343632 -0.371886927 +10936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.68456877 -0.371886927 +10937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.180889216 -0.371886927 +10938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.168584799 -0.371886927 +10939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.102059342 -0.371886927 +10941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.21614842 -0.371886927 +10940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.320302322 -0.371886927 +10942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.641559304 -0.371886927 +10943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.76289109 -0.371886927 +10944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.027583563 -0.371886927 +10946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.276458983 -0.371886927 +10947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.398793626 -0.371886927 +10945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 6.19E-05 -0.371886927 +10948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.33331929 -0.371886927 +10949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.419243999 -0.371886927 +10951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.369110799 -0.371886927 +10950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.571062591 -0.371886927 +10952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.118176113 -0.371886927 +10953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.531870613 -0.371886927 +10955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.043526082 -0.371886927 +10954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.082265278 -0.371886927 +10956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.310278357 -0.371886927 +10959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.129974532 -0.371886927 +10960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.087943758 -0.371886927 +10957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.14123418 -0.371886927 +10958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.132383268 -0.371886927 +10961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.182397987 -0.371886927 +10962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.243586083 -0.371886927 +10963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.416594879 -0.371886927 +10964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.389446181 -0.371886927 +10968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.453792467 -0.371886927 +10965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.731911003 -0.371886927 +10966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.120592156 -0.371886927 +10967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.44265995 -0.371886927 +10969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.749724623 -0.371886927 +10970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.082071185 -0.371886927 +10971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.423587002 -0.371886927 +10972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.684750231 -0.371886927 +10974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.413338395 -0.371886927 +10973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.46392822 -0.371886927 +10975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.357293629 -0.371886927 +10976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.597545733 -0.371886927 +10978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.562599947 -0.371886927 +10979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.003428395 -0.371886927 +10980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.231008417 -0.371886927 +10981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.769085722 -0.371886927 +10977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.05797801 -0.371886927 +10982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.547789974 -0.371886927 +10984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.230155347 -0.371886927 +10983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.142891483 -0.371886927 +10986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.197192278 -0.371886927 +10985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.646492982 -0.371886927 +10988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.20649388 -0.371886927 +10989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 0.031091458 -0.371886927 +10987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.008184989 -0.371886927 +10991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.716013384 -0.371886927 +10990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.530731769 -0.371886927 +10993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.71402455 -0.371886927 +10994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.78964093 -0.371886927 +10992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.773962993 -0.371886927 +10995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.403436492 -0.371886927 +10996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.254454893 -0.371886927 +10997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.267460419 -0.371886927 +10999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.0397167 -0.371886927 +10998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.287399094 -0.371886927 +11000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.5 10 1 -0.10691384 -0.371886927 +11002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.800563564 -0.380430527 +11003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.751233277 -0.380430527 +11001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.018765662 -0.380430527 +11006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.389909187 -0.380430527 +11005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.293686398 -0.380430527 +11007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.030788375 -0.380430527 +11008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.469174128 -0.380430527 +11004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.390277526 -0.380430527 +11009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.413323391 -0.380430527 +11011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.454189805 -0.380430527 +11010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.78459576 -0.380430527 +11012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.833677458 -0.380430527 +11013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.406807079 -0.380430527 +11014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.787057943 -0.380430527 +11015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.509105489 -0.380430527 +11017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.239860982 -0.380430527 +11016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.086351728 -0.380430527 +11019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.841609151 -0.380430527 +11018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.832836423 -0.380430527 +11020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.642176161 -0.380430527 +11021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.288397945 -0.380430527 +11023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.783551453 -0.380430527 +11022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.142571668 -0.380430527 +11024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.086762072 -0.380430527 +11026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.298775794 -0.380430527 +11027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.469272358 -0.380430527 +11025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.374239289 -0.380430527 +11028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.70718824 -0.380430527 +11029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.623983373 -0.380430527 +11030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.71770892 -0.380430527 +11031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.04095055 -0.380430527 +11032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.776004574 -0.380430527 +11033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.402979697 -0.380430527 +11034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.32143463 -0.380430527 +11036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.491148022 -0.380430527 +11035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.415903007 -0.380430527 +11037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.545220459 -0.380430527 +11038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.584021176 -0.380430527 +11040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.477243658 -0.380430527 +11041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.717466418 -0.380430527 +11039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.28547761 -0.380430527 +11043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.442332858 -0.380430527 +11042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.007462478 -0.380430527 +11046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.541078715 -0.380430527 +11045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.088458754 -0.380430527 +11044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.522547746 -0.380430527 +11047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.171074206 -0.380430527 +11048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.378294039 -0.380430527 +11049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.654571998 -0.380430527 +11050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.821453851 -0.380430527 +11051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.127301043 -0.380430527 +11052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.166544353 -0.380430527 +11053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.314061602 -0.380430527 +11055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.71213635 -0.380430527 +11057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.648814049 -0.380430527 +11056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.21684906 -0.380430527 +11054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.290656076 -0.380430527 +11058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.287631366 -0.380430527 +11059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.678896763 -0.380430527 +11060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.245344204 -0.380430527 +11061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.301539204 -0.380430527 +11062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.678281062 -0.380430527 +11064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.130434775 -0.380430527 +11063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.485857835 -0.380430527 +11066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.087771423 -0.380430527 +11068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.171406489 -0.380430527 +11067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.329637035 -0.380430527 +11065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.150125707 -0.380430527 +11069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.619499664 -0.380430527 +11071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.638606033 -0.380430527 +11070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.058110691 -0.380430527 +11072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.676399626 -0.380430527 +11073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.166657268 -0.380430527 +11074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.319234837 -0.380430527 +11075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.786891796 -0.380430527 +11076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.645310745 -0.380430527 +11077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.29263192 -0.380430527 +11078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.096987575 -0.380430527 +11080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.562559479 -0.380430527 +11081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.257054849 -0.380430527 +11082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.508348947 -0.380430527 +11079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.20608524 -0.380430527 +11083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.409417817 -0.380430527 +11086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.142947415 -0.380430527 +11084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.207636432 -0.380430527 +11085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.108065078 -0.380430527 +11087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.156071295 -0.380430527 +11088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.0535505 -0.380430527 +11089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.548005995 -0.380430527 +11090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.106620786 -0.380430527 +11091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.308236435 -0.380430527 +11092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.162457581 -0.380430527 +11094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.634546135 -0.380430527 +11095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.207612769 -0.380430527 +11096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.101480628 -0.380430527 +11097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.602169286 -0.380430527 +11098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.33026374 -0.380430527 +11099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.366899942 -0.380430527 +11093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.336151638 -0.380430527 +11100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.540318258 -0.380430527 +11101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.220249608 -0.380430527 +11104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.063028652 -0.380430527 +11103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.381436935 -0.380430527 +11105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.051411769 -0.380430527 +11106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.454677165 -0.380430527 +11102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.05130031 -0.380430527 +11107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.044030878 -0.380430527 +11108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.408217722 -0.380430527 +11109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.718474972 -0.380430527 +11110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.2929597 -0.380430527 +11112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.312705372 -0.380430527 +11111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.573697736 -0.380430527 +11113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.391579849 -0.380430527 +11114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.752318678 -0.380430527 +11116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.371073366 -0.380430527 +11117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.137691932 -0.380430527 +11115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.595113462 -0.380430527 +11120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.180687485 -0.380430527 +11118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.588478191 -0.380430527 +11121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.05694854 -0.380430527 +11119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.373938345 -0.380430527 +11122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.171303938 -0.380430527 +11123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.10593555 -0.380430527 +11127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.60246177 -0.380430527 +11124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.228111643 -0.380430527 +11126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.424538552 -0.380430527 +11128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.521736396 -0.380430527 +11129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.176728553 -0.380430527 +11125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.030092022 -0.380430527 +11130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.334681194 -0.380430527 +11131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.366255112 -0.380430527 +11132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.411228329 -0.380430527 +11133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.698176834 -0.380430527 +11134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.024381613 -0.380430527 +11135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.365809146 -0.380430527 +11136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.412580717 -0.380430527 +11138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.058062136 -0.380430527 +11139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.220864148 -0.380430527 +11141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.119911161 -0.380430527 +11142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.37800548 -0.380430527 +11137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.008298677 -0.380430527 +11140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.674819691 -0.380430527 +11144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.728878843 -0.380430527 +11143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.443926605 -0.380430527 +11145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.181928562 -0.380430527 +11146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.327826641 -0.380430527 +11150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.255234717 -0.380430527 +11148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.553967199 -0.380430527 +11149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.082416722 -0.380430527 +11151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.519499113 -0.380430527 +11147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.537871191 -0.380430527 +11152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.25055452 -0.380430527 +11154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.440363402 -0.380430527 +11153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.390953587 -0.380430527 +11156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.724868512 -0.380430527 +11155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.70941492 -0.380430527 +11158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.099589984 -0.380430527 +11157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.68854233 -0.380430527 +11159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.050440849 -0.380430527 +11161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.227208483 -0.380430527 +11160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.307327415 -0.380430527 +11163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.079439196 -0.380430527 +11162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.643268438 -0.380430527 +11164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.493660737 -0.380430527 +11165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.559610251 -0.380430527 +11166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.163567196 -0.380430527 +11168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.242595426 -0.380430527 +11170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.024269348 -0.380430527 +11169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.001500441 -0.380430527 +11172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.12060913 -0.380430527 +11171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.682941875 -0.380430527 +11167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.461436777 -0.380430527 +11173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.068584313 -0.380430527 +11175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.532467776 -0.380430527 +11177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.09030503 -0.380430527 +11176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.535735908 -0.380430527 +11180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.110326202 -0.380430527 +11178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.425335708 -0.380430527 +11179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.1603113 -0.380430527 +11174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.011373173 -0.380430527 +11181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.212649098 -0.380430527 +11182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.388377287 -0.380430527 +11185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.851302031 -0.380430527 +11186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.550925329 -0.380430527 +11183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.498860785 -0.380430527 +11187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.013789573 -0.380430527 +11184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.531245024 -0.380430527 +11189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.420178376 -0.380430527 +11188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.844297239 -0.380430527 +11190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.564605538 -0.380430527 +11193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.435910582 -0.380430527 +11194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.515121774 -0.380430527 +11195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.17717054 -0.380430527 +11192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.238550495 -0.380430527 +11196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.047212273 -0.380430527 +11191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.825326323 -0.380430527 +11197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.46328756 -0.380430527 +11198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.012664827 -0.380430527 +11199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.699030892 -0.380430527 +11201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.689569178 -0.380430527 +11202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.096135319 -0.380430527 +11200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.56893148 -0.380430527 +11203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.129777659 -0.380430527 +11204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.802018891 -0.380430527 +11205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.514070171 -0.380430527 +11206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.682769417 -0.380430527 +11207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.453304129 -0.380430527 +11211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.212401087 -0.380430527 +11210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.127667342 -0.380430527 +11208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.736741147 -0.380430527 +11212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.511988598 -0.380430527 +11214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.526762889 -0.380430527 +11209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.019401439 -0.380430527 +11213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.561991907 -0.380430527 +11215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.622438904 -0.380430527 +11216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.813661962 -0.380430527 +11217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.315766054 -0.380430527 +11218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.285613555 -0.380430527 +11219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.011859384 -0.380430527 +11220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.023245212 -0.380430527 +11221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.059961155 -0.380430527 +11223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.059027272 -0.380430527 +11222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.653476626 -0.380430527 +11224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.7103491 -0.380430527 +11225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.884553078 -0.380430527 +11226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.280666212 -0.380430527 +11229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.243739134 -0.380430527 +11227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.042966417 -0.380430527 +11228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.622211441 -0.380430527 +11230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.673170011 -0.380430527 +11232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.43337388 -0.380430527 +11233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.092944322 -0.380430527 +11234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.497243831 -0.380430527 +11231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.333413036 -0.380430527 +11235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.199376952 -0.380430527 +11237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.558481445 -0.380430527 +11236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.061787391 -0.380430527 +11238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.80943925 -0.380430527 +11239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.076991797 -0.380430527 +11240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.021239121 -0.380430527 +11241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.400489922 -0.380430527 +11242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.764621772 -0.380430527 +11243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.145368718 -0.380430527 +11245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.49519653 -0.380430527 +11244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.777356289 -0.380430527 +11246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.149589856 -0.380430527 +11248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.104753134 -0.380430527 +11247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.311844895 -0.380430527 +11251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.391179423 -0.380430527 +11249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.230988624 -0.380430527 +11253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.039831385 -0.380430527 +11254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.337787134 -0.380430527 +11252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.662397014 -0.380430527 +11250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.64286243 -0.380430527 +11256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.19675019 -0.380430527 +11255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.187763104 -0.380430527 +11257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.198216288 -0.380430527 +11258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.609378347 -0.380430527 +11259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.47781345 -0.380430527 +11261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.705741821 -0.380430527 +11262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -6.42E-04 -0.380430527 +11260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.514247561 -0.380430527 +11265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.556931265 -0.380430527 +11264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.086119969 -0.380430527 +11263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.732089933 -0.380430527 +11267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.753780226 -0.380430527 +11268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.576696942 -0.380430527 +11266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.109715822 -0.380430527 +11270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.835594076 -0.380430527 +11269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.758869726 -0.380430527 +11271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.018961849 -0.380430527 +11272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.270424124 -0.380430527 +11273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.30053788 -0.380430527 +11275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.447855605 -0.380430527 +11274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.569996649 -0.380430527 +11276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.693495193 -0.380430527 +11278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.800371184 -0.380430527 +11277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.614248502 -0.380430527 +11279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.331552801 -0.380430527 +11280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.073561445 -0.380430527 +11283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.780131093 -0.380430527 +11282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.614098363 -0.380430527 +11284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.430816598 -0.380430527 +11281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.481726564 -0.380430527 +11285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.248318304 -0.380430527 +11287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.144819667 -0.380430527 +11286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.005369347 -0.380430527 +11288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.377986764 -0.380430527 +11290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.386553926 -0.380430527 +11291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.134169749 -0.380430527 +11292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.013632921 -0.380430527 +11289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.714600453 -0.380430527 +11293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.01905256 -0.380430527 +11294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.039060799 -0.380430527 +11295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.435372388 -0.380430527 +11298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.066776697 -0.380430527 +11296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.278784942 -0.380430527 +11297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.649847536 -0.380430527 +11300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.304916531 -0.380430527 +11301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.640653726 -0.380430527 +11299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.674218528 -0.380430527 +11302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.691218665 -0.380430527 +11305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.142991815 -0.380430527 +11306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.314525302 -0.380430527 +11304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.436897476 -0.380430527 +11307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.252490771 -0.380430527 +11309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.632079007 -0.380430527 +11303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.240598741 -0.380430527 +11308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.704780895 -0.380430527 +11310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.610968839 -0.380430527 +11311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.071641771 -0.380430527 +11312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.240152735 -0.380430527 +11313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.345471745 -0.380430527 +11315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.076230419 -0.380430527 +11316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.47517365 -0.380430527 +11317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.581824808 -0.380430527 +11314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.242976981 -0.380430527 +11318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.849635787 -0.380430527 +11320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.759424691 -0.380430527 +11319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.308745819 -0.380430527 +11322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.612370241 -0.380430527 +11323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.117759347 -0.380430527 +11321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.685927563 -0.380430527 +11325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.684517276 -0.380430527 +11326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.07071794 -0.380430527 +11324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.500627769 -0.380430527 +11328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.245356344 -0.380430527 +11327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.287863085 -0.380430527 +11329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.177830582 -0.380430527 +11330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.754517507 -0.380430527 +11331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.229141826 -0.380430527 +11332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.821756176 -0.380430527 +11333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.075383568 -0.380430527 +11334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.07537138 -0.380430527 +11337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.007446707 -0.380430527 +11335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.584979934 -0.380430527 +11338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.611919084 -0.380430527 +11339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.095683801 -0.380430527 +11340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.020877505 -0.380430527 +11336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.06944034 -0.380430527 +11341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.861658451 -0.380430527 +11343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.15280944 -0.380430527 +11344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.166208423 -0.380430527 +11346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.704022127 -0.380430527 +11348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.068974423 -0.380430527 +11347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.050526284 -0.380430527 +11345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.591191916 -0.380430527 +11349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.055618864 -0.380430527 +11342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.334079574 -0.380430527 +11351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.459440326 -0.380430527 +11353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.174137716 -0.380430527 +11354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.434429077 -0.380430527 +11355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.722827957 -0.380430527 +11356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.663162679 -0.380430527 +11350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.607574352 -0.380430527 +11352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.64800347 -0.380430527 +11357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.124365235 -0.380430527 +11358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.473994118 -0.380430527 +11361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.328749322 -0.380430527 +11364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.673247486 -0.380430527 +11363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.537351803 -0.380430527 +11359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.572743807 -0.380430527 +11362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.578824357 -0.380430527 +11360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.531251768 -0.380430527 +11366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.629422155 -0.380430527 +11365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.350877777 -0.380430527 +11367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.816531189 -0.380430527 +11369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.62842214 -0.380430527 +11370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.201012207 -0.380430527 +11371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.088461 -0.380430527 +11368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.231177298 -0.380430527 +11372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.249175615 -0.380430527 +11373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.62506011 -0.380430527 +11374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.744379121 -0.380430527 +11375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.705850041 -0.380430527 +11376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.817988236 -0.380430527 +11377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.457674589 -0.380430527 +11379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.324516258 -0.380430527 +11380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.186050079 -0.380430527 +11381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.675429209 -0.380430527 +11383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.359551171 -0.380430527 +11378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.188522861 -0.380430527 +11382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.597818995 -0.380430527 +11384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.771658491 -0.380430527 +11386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.625932135 -0.380430527 +11385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.062588459 -0.380430527 +11387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.513065505 -0.380430527 +11388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.46282733 -0.380430527 +11390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.229015032 -0.380430527 +11389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.170954125 -0.380430527 +11392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.195162393 -0.380430527 +11391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.179964113 -0.380430527 +11393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.643326819 -0.380430527 +11395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.186421209 -0.380430527 +11396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.024511441 -0.380430527 +11397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.748528227 -0.380430527 +11398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.488443815 -0.380430527 +11399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.363529805 -0.380430527 +11394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.221053829 -0.380430527 +11400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.276012902 -0.380430527 +11401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.147184282 -0.380430527 +11403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.136895593 -0.380430527 +11405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.021954849 -0.380430527 +11402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.043644621 -0.380430527 +11406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.365553706 -0.380430527 +11407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.862177252 -0.380430527 +11404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.537842813 -0.380430527 +11408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.483060486 -0.380430527 +11410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.360403985 -0.380430527 +11411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.670017778 -0.380430527 +11412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.466499592 -0.380430527 +11413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.543236352 -0.380430527 +11409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.059922171 -0.380430527 +11414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.210360454 -0.380430527 +11415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.681193478 -0.380430527 +11416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.019661093 -0.380430527 +11418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.658246209 -0.380430527 +11417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.811502362 -0.380430527 +11419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.10217608 -0.380430527 +11420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.60504208 -0.380430527 +11421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.520431977 -0.380430527 +11423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.799273898 -0.380430527 +11422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.513666792 -0.380430527 +11424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.617937451 -0.380430527 +11426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.20354505 -0.380430527 +11429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.510322748 -0.380430527 +11425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.610829608 -0.380430527 +11430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.691049265 -0.380430527 +11427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.114005431 -0.380430527 +11428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.614652113 -0.380430527 +11431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.220818271 -0.380430527 +11432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.465535957 -0.380430527 +11433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.346578369 -0.380430527 +11435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.452566066 -0.380430527 +11434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.103538015 -0.380430527 +11436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.002228302 -0.380430527 +11437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.484990949 -0.380430527 +11438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.224645762 -0.380430527 +11439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.086450395 -0.380430527 +11441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.191909637 -0.380430527 +11442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.733088279 -0.380430527 +11440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.274620947 -0.380430527 +11443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.043238148 -0.380430527 +11446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.335043082 -0.380430527 +11444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.499373077 -0.380430527 +11447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.074658999 -0.380430527 +11445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.065136334 -0.380430527 +11448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.424556713 -0.380430527 +11449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.026721896 -0.380430527 +11451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.769142671 -0.380430527 +11452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.741238396 -0.380430527 +11453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.466502179 -0.380430527 +11454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.597784233 -0.380430527 +11455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.270379778 -0.380430527 +11457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.00695828 -0.380430527 +11450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.471589997 -0.380430527 +11456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.462553692 -0.380430527 +11458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.023145806 -0.380430527 +11459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.72456877 -0.380430527 +11461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.289185308 -0.380430527 +11460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.730367518 -0.380430527 +11462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.550042769 -0.380430527 +11463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.029796635 -0.380430527 +11465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.743318733 -0.380430527 +11464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.683056874 -0.380430527 +11466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.66068665 -0.380430527 +11467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.408006277 -0.380430527 +11468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.190108715 -0.380430527 +11469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.367131351 -0.380430527 +11470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.099923053 -0.380430527 +11471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.781250561 -0.380430527 +11472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.13389446 -0.380430527 +11474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.007585967 -0.380430527 +11475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.354613173 -0.380430527 +11476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.449069067 -0.380430527 +11477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.092634534 -0.380430527 +11478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.019907573 -0.380430527 +11473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.288289602 -0.380430527 +11479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.669067397 -0.380430527 +11480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.574811855 -0.380430527 +11481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.356796108 -0.380430527 +11482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.663878206 -0.380430527 +11484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.220566737 -0.380430527 +11483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.167414982 -0.380430527 +11485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.590271804 -0.380430527 +11486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.286266531 -0.380430527 +11487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.02790404 -0.380430527 +11490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.465196091 -0.380430527 +11488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.384263574 -0.380430527 +11489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.082596848 -0.380430527 +11492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.561756583 -0.380430527 +11491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.361915317 -0.380430527 +11493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.712775813 -0.380430527 +11495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.348363632 -0.380430527 +11494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.359241906 -0.380430527 +11496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.361622921 -0.380430527 +11497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.559749295 -0.380430527 +11498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.646768452 -0.380430527 +11500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.104844011 -0.380430527 +11501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.198918997 -0.380430527 +11499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.498570095 -0.380430527 +11502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.019808209 -0.380430527 +11504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.372241561 -0.380430527 +11505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.58997072 -0.380430527 +11503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.471977996 -0.380430527 +11506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.091270449 -0.380430527 +11508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.390978131 -0.380430527 +11507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.324672022 -0.380430527 +11509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.100114903 -0.380430527 +11510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.519916215 -0.380430527 +11511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.212579901 -0.380430527 +11512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.761393756 -0.380430527 +11514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.390639175 -0.380430527 +11513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.39976816 -0.380430527 +11515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.686170887 -0.380430527 +11516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.416820374 -0.380430527 +11517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.723898234 -0.380430527 +11518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.363833693 -0.380430527 +11519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.203543838 -0.380430527 +11520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.243240287 -0.380430527 +11521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.126230938 -0.380430527 +11523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.656756069 -0.380430527 +11524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.522243141 -0.380430527 +11522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.463922241 -0.380430527 +11525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.329453994 -0.380430527 +11526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.849460717 -0.380430527 +11527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.531760405 -0.380430527 +11528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.077508527 -0.380430527 +11529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.186882871 -0.380430527 +11530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.36477204 -0.380430527 +11531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.469038046 -0.380430527 +11533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.384061208 -0.380430527 +11532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.060501799 -0.380430527 +11534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.009759965 -0.380430527 +11535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.301468229 -0.380430527 +11536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.336658453 -0.380430527 +11537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.118787863 -0.380430527 +11538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.292730348 -0.380430527 +11539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.255443092 -0.380430527 +11540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.61021576 -0.380430527 +11541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.6934725 -0.380430527 +11542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.09689994 -0.380430527 +11543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.407963457 -0.380430527 +11544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.774257344 -0.380430527 +11545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.757875751 -0.380430527 +11546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.134189634 -0.380430527 +11547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.233877155 -0.380430527 +11548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.074255086 -0.380430527 +11549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.596437214 -0.380430527 +11551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.15788869 -0.380430527 +11550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.625211646 -0.380430527 +11552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.188767709 -0.380430527 +11554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.174193514 -0.380430527 +11553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.046517228 -0.380430527 +11555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.425190845 -0.380430527 +11556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.633566851 -0.380430527 +11557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.427966607 -0.380430527 +11558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.615040675 -0.380430527 +11559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.730886257 -0.380430527 +11560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.0317396 -0.380430527 +11562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.293352771 -0.380430527 +11561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.338690112 -0.380430527 +11563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.080631168 -0.380430527 +11564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.762969754 -0.380430527 +11566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.14921166 -0.380430527 +11565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.446430261 -0.380430527 +11567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.520599951 -0.380430527 +11568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.063767206 -0.380430527 +11569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.140757225 -0.380430527 +11570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.164158771 -0.380430527 +11571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.544464772 -0.380430527 +11572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.542661551 -0.380430527 +11573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.465473229 -0.380430527 +11575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.305582468 -0.380430527 +11576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.72346974 -0.380430527 +11574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.660577354 -0.380430527 +11578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.586324296 -0.380430527 +11577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.263965311 -0.380430527 +11579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.551533187 -0.380430527 +11580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.071447603 -0.380430527 +11581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.267975117 -0.380430527 +11582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.624568489 -0.380430527 +11583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.102037087 -0.380430527 +11585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.011764679 -0.380430527 +11586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.052745632 -0.380430527 +11587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.667764897 -0.380430527 +11584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.231018283 -0.380430527 +11588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.689116775 -0.380430527 +11589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.532358931 -0.380430527 +11591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.273608416 -0.380430527 +11590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.033601528 -0.380430527 +11593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.164319836 -0.380430527 +11592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.547035368 -0.380430527 +11594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.091875596 -0.380430527 +11596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.328527639 -0.380430527 +11595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.243356964 -0.380430527 +11598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.753331417 -0.380430527 +11599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.572790875 -0.380430527 +11597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.724549739 -0.380430527 +11601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.074311958 -0.380430527 +11600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.183152206 -0.380430527 +11602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.311245648 -0.380430527 +11603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.8353756 -0.380430527 +11604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.664269215 -0.380430527 +11605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.272817637 -0.380430527 +11606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.384671198 -0.380430527 +11607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.185236427 -0.380430527 +11608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.091017317 -0.380430527 +11609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.762906382 -0.380430527 +11610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.631904118 -0.380430527 +11611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.042390165 -0.380430527 +11614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.352057129 -0.380430527 +11613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.134299604 -0.380430527 +11616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.050101053 -0.380430527 +11615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.600366994 -0.380430527 +11612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.446604034 -0.380430527 +11617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.767985397 -0.380430527 +11618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.076428825 -0.380430527 +11619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.055957716 -0.380430527 +11620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.629502022 -0.380430527 +11621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.707789629 -0.380430527 +11622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.012568766 -0.380430527 +11623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.366068126 -0.380430527 +11624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.162675398 -0.380430527 +11625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.666881663 -0.380430527 +11626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.585586167 -0.380430527 +11627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.198566016 -0.380430527 +11628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.600607386 -0.380430527 +11629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.276092682 -0.380430527 +11630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.041229357 -0.380430527 +11631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.018867725 -0.380430527 +11633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.263864041 -0.380430527 +11632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.191800957 -0.380430527 +11637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.505297384 -0.380430527 +11636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.589196619 -0.380430527 +11634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.578442486 -0.380430527 +11638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.071858966 -0.380430527 +11635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.030178863 -0.380430527 +11639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.790213134 -0.380430527 +11640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.575626216 -0.380430527 +11641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.580814285 -0.380430527 +11642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.130059355 -0.380430527 +11643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.685232014 -0.380430527 +11644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.499998279 -0.380430527 +11646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.334475862 -0.380430527 +11647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.576555486 -0.380430527 +11648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.58558754 -0.380430527 +11645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.822408066 -0.380430527 +11650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.282551867 -0.380430527 +11651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.017466042 -0.380430527 +11652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.704614655 -0.380430527 +11649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.145515757 -0.380430527 +11653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.152222477 -0.380430527 +11654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.64414852 -0.380430527 +11656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.037375579 -0.380430527 +11655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.724005182 -0.380430527 +11657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.7700713 -0.380430527 +11658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.239571906 -0.380430527 +11659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.753843896 -0.380430527 +11662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.289771153 -0.380430527 +11660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.627689839 -0.380430527 +11661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.189992768 -0.380430527 +11663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.663693125 -0.380430527 +11664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.785462172 -0.380430527 +11665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.037152237 -0.380430527 +11666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.121782551 -0.380430527 +11667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.635291628 -0.380430527 +11670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.755598149 -0.380430527 +11668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.604807581 -0.380430527 +11671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.140007609 -0.380430527 +11672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.775293073 -0.380430527 +11669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.349077207 -0.380430527 +11673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.714267232 -0.380430527 +11674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.75023106 -0.380430527 +11675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.294946651 -0.380430527 +11676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.547623343 -0.380430527 +11677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.75913641 -0.380430527 +11678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.191413335 -0.380430527 +11679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.717185641 -0.380430527 +11681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.675220333 -0.380430527 +11680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.131403641 -0.380430527 +11682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.221226235 -0.380430527 +11683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.039383071 -0.380430527 +11684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.381365618 -0.380430527 +11685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.17922004 -0.380430527 +11687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.419770754 -0.380430527 +11686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.166714719 -0.380430527 +11688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.28585728 -0.380430527 +11690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.657577358 -0.380430527 +11691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.771737075 -0.380430527 +11692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.206233792 -0.380430527 +11689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.491529495 -0.380430527 +11693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.719755003 -0.380430527 +11695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.508542141 -0.380430527 +11694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.522926895 -0.380430527 +11696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.240854968 -0.380430527 +11697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.091877871 -0.380430527 +11698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.805869663 -0.380430527 +11699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.577368366 -0.380430527 +11701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.631726627 -0.380430527 +11703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.679158938 -0.380430527 +11702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.685307822 -0.380430527 +11704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 4.47E-04 -0.380430527 +11700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.23220056 -0.380430527 +11705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.137642796 -0.380430527 +11706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.403488133 -0.380430527 +11707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.048706178 -0.380430527 +11708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.360103467 -0.380430527 +11710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.501502329 -0.380430527 +11709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.165587714 -0.380430527 +11711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.578351461 -0.380430527 +11713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.41957411 -0.380430527 +11714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.366279452 -0.380430527 +11715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.374120691 -0.380430527 +11712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.405541476 -0.380430527 +11718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.079606651 -0.380430527 +11717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.607933527 -0.380430527 +11716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.04132392 -0.380430527 +11719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.205385827 -0.380430527 +11720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.129612198 -0.380430527 +11721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.011356954 -0.380430527 +11722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.151040164 -0.380430527 +11723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.007351254 -0.380430527 +11725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.488281692 -0.380430527 +11724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.177761302 -0.380430527 +11727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.087711159 -0.380430527 +11726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.142628208 -0.380430527 +11728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.406717662 -0.380430527 +11729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.100414567 -0.380430527 +11730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.634705254 -0.380430527 +11732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.784078572 -0.380430527 +11733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.024325885 -0.380430527 +11734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.176828291 -0.380430527 +11735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.693531635 -0.380430527 +11736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.453870782 -0.380430527 +11731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.628760338 -0.380430527 +11737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.604529286 -0.380430527 +11738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.770683834 -0.380430527 +11739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.482680971 -0.380430527 +11740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.247160484 -0.380430527 +11741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.042342553 -0.380430527 +11742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.652493911 -0.380430527 +11743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.468561056 -0.380430527 +11744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.407047458 -0.380430527 +11745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.653084141 -0.380430527 +11746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.256400522 -0.380430527 +11748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.05876724 -0.380430527 +11747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.001724928 -0.380430527 +11749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.565087799 -0.380430527 +11750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.346278129 -0.380430527 +11751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.869907232 -0.380430527 +11752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.30208652 -0.380430527 +11753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.752742293 -0.380430527 +11754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.729402693 -0.380430527 +11755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.69223001 -0.380430527 +11757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.344571574 -0.380430527 +11756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.41078121 -0.380430527 +11758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.486293606 -0.380430527 +11759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.371332861 -0.380430527 +11761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.281999032 -0.380430527 +11762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.287757737 -0.380430527 +11760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.272107189 -0.380430527 +11763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.295074373 -0.380430527 +11764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.018763892 -0.380430527 +11765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.307757232 -0.380430527 +11767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.289516689 -0.380430527 +11766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.255882937 -0.380430527 +11768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.635098701 -0.380430527 +11769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.519927103 -0.380430527 +11770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.109873597 -0.380430527 +11771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.764312284 -0.380430527 +11772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.697975622 -0.380430527 +11775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.579690508 -0.380430527 +11774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.075495005 -0.380430527 +11773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.147176343 -0.380430527 +11776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.619175787 -0.380430527 +11777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.154985258 -0.380430527 +11779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.357769408 -0.380430527 +11778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.410847006 -0.380430527 +11780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.08348154 -0.380430527 +11782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.169781626 -0.380430527 +11783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.247334824 -0.380430527 +11781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.008176962 -0.380430527 +11784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.055630077 -0.380430527 +11785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.287790845 -0.380430527 +11786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.55475679 -0.380430527 +11788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.824666351 -0.380430527 +11787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.760313242 -0.380430527 +11789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.582334003 -0.380430527 +11791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.199151343 -0.380430527 +11790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.342056094 -0.380430527 +11792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.806548246 -0.380430527 +11793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.528966265 -0.380430527 +11795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.483619399 -0.380430527 +11794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.454007121 -0.380430527 +11797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.782115997 -0.380430527 +11798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.657642198 -0.380430527 +11799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.576916088 -0.380430527 +11796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.786718703 -0.380430527 +11800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.870622836 -0.380430527 +11801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.695744606 -0.380430527 +11803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.463411153 -0.380430527 +11802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.349030294 -0.380430527 +11804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.184711086 -0.380430527 +11805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.665055904 -0.380430527 +11806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.573147878 -0.380430527 +11808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.026028917 -0.380430527 +11807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.299174714 -0.380430527 +11809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.815853592 -0.380430527 +11810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.287861486 -0.380430527 +11811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.575761701 -0.380430527 +11812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.037016322 -0.380430527 +11813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.384189793 -0.380430527 +11814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.629801263 -0.380430527 +11815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.645358823 -0.380430527 +11816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.263349217 -0.380430527 +11817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.059915359 -0.380430527 +11818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.017284459 -0.380430527 +11819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.310751739 -0.380430527 +11820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.049928273 -0.380430527 +11821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.389337057 -0.380430527 +11822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.139667773 -0.380430527 +11823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.480252441 -0.380430527 +11825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.319165455 -0.380430527 +11826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.020935034 -0.380430527 +11824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.64350979 -0.380430527 +11827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.402426068 -0.380430527 +11828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.284974202 -0.380430527 +11829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.621788101 -0.380430527 +11830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.039178426 -0.380430527 +11831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.580285738 -0.380430527 +11832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.244756287 -0.380430527 +11833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.256293535 -0.380430527 +11835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.207141211 -0.380430527 +11836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.682663091 -0.380430527 +11837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.672981821 -0.380430527 +11834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.603818414 -0.380430527 +11838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.099029451 -0.380430527 +11839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.378517987 -0.380430527 +11841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.767793851 -0.380430527 +11840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.016557971 -0.380430527 +11842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.37727028 -0.380430527 +11843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.847458432 -0.380430527 +11844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.160541349 -0.380430527 +11845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.062266951 -0.380430527 +11847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.661421798 -0.380430527 +11846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.530208865 -0.380430527 +11848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.617460528 -0.380430527 +11849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.34948214 -0.380430527 +11850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.159878372 -0.380430527 +11851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.592320336 -0.380430527 +11852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.158434073 -0.380430527 +11853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.502922751 -0.380430527 +11855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.278437961 -0.380430527 +11854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.018468669 -0.380430527 +11856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.266502757 -0.380430527 +11857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.094742372 -0.380430527 +11858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.290787248 -0.380430527 +11859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.422889154 -0.380430527 +11860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.46245527 -0.380430527 +11862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.761126294 -0.380430527 +11861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.297565739 -0.380430527 +11863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.011553976 -0.380430527 +11864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.129542825 -0.380430527 +11865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.211704582 -0.380430527 +11866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.828953229 -0.380430527 +11867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.286669103 -0.380430527 +11868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.211445019 -0.380430527 +11871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.149114901 -0.380430527 +11872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.584411039 -0.380430527 +11869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.52075921 -0.380430527 +11870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.325217754 -0.380430527 +11873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.470646525 -0.380430527 +11874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.630728241 -0.380430527 +11875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.131684208 -0.380430527 +11876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.118929614 -0.380430527 +11878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.420359297 -0.380430527 +11877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.438336783 -0.380430527 +11879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.538740175 -0.380430527 +11881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.219820517 -0.380430527 +11882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.220352105 -0.380430527 +11880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.74948878 -0.380430527 +11883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.331084351 -0.380430527 +11884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.737883733 -0.380430527 +11885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.749727738 -0.380430527 +11886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.270993834 -0.380430527 +11887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.469821669 -0.380430527 +11888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.620504128 -0.380430527 +11889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.044150259 -0.380430527 +11890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.482868083 -0.380430527 +11891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.3226317 -0.380430527 +11892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.128513266 -0.380430527 +11893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.600532096 -0.380430527 +11894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.525560919 -0.380430527 +11895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.688312439 -0.380430527 +11896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.544803599 -0.380430527 +11897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.652622076 -0.380430527 +11899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.296387665 -0.380430527 +11898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.022336679 -0.380430527 +11900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.422861042 -0.380430527 +11901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.624016401 -0.380430527 +11902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.526860224 -0.380430527 +11903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.12610127 -0.380430527 +11904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.431357672 -0.380430527 +11905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.527298465 -0.380430527 +11906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.28779908 -0.380430527 +11908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.111915624 -0.380430527 +11907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.324315208 -0.380430527 +11909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.28499037 -0.380430527 +11910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.410630433 -0.380430527 +11912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.115474232 -0.380430527 +11911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.496469851 -0.380430527 +11913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.604443988 -0.380430527 +11914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.82982547 -0.380430527 +11915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.284767847 -0.380430527 +11916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.133840148 -0.380430527 +11917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.33577429 -0.380430527 +11918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.456478593 -0.380430527 +11919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.217376101 -0.380430527 +11920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.509085725 -0.380430527 +11921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.20258621 -0.380430527 +11923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.753895003 -0.380430527 +11922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.714527819 -0.380430527 +11924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.547418328 -0.380430527 +11925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.680065776 -0.380430527 +11927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.212377942 -0.380430527 +11926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.359039939 -0.380430527 +11928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.441134733 -0.380430527 +11929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.080148466 -0.380430527 +11931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.177834985 -0.380430527 +11930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.387898397 -0.380430527 +11933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.728513141 -0.380430527 +11935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.350150676 -0.380430527 +11934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.551649092 -0.380430527 +11932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.090080199 -0.380430527 +11936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.815087199 -0.380430527 +11937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.1770612 -0.380430527 +11938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.439719195 -0.380430527 +11939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.275751161 -0.380430527 +11940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.123011222 -0.380430527 +11941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.525468619 -0.380430527 +11942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.158949952 -0.380430527 +11944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.352612204 -0.380430527 +11943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.103821011 -0.380430527 +11945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.31415536 -0.380430527 +11946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.095621645 -0.380430527 +11947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.449177605 -0.380430527 +11948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.369165404 -0.380430527 +11949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.23918488 -0.380430527 +11950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.623630347 -0.380430527 +11951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.192629425 -0.380430527 +11953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.005250107 -0.380430527 +11952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.221029031 -0.380430527 +11954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.095012882 -0.380430527 +11955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.804482389 -0.380430527 +11956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.192586698 -0.380430527 +11959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.695055108 -0.380430527 +11958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.032114225 -0.380430527 +11957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.111286176 -0.380430527 +11960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.347492413 -0.380430527 +11961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.188320611 -0.380430527 +11962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.608615262 -0.380430527 +11963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.090119326 -0.380430527 +11966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.711912578 -0.380430527 +11964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.028997545 -0.380430527 +11967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.065806631 -0.380430527 +11965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.063464621 -0.380430527 +11968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.411329628 -0.380430527 +11969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.226488894 -0.380430527 +11970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.147633278 -0.380430527 +11971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.779956796 -0.380430527 +11973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.410139751 -0.380430527 +11972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.21862304 -0.380430527 +11974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.534345255 -0.380430527 +11975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.613718503 -0.380430527 +11976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.230190698 -0.380430527 +11977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.103082221 -0.380430527 +11980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.613494967 -0.380430527 +11981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.023152052 -0.380430527 +11978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.163779336 -0.380430527 +11979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.326346383 -0.380430527 +11982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.43166131 -0.380430527 +11983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.522394552 -0.380430527 +11984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.472589965 -0.380430527 +11985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.003393466 -0.380430527 +11986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.41842995 -0.380430527 +11987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.440498637 -0.380430527 +11988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.222567649 -0.380430527 +11989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.794385726 -0.380430527 +11991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.472768388 -0.380430527 +11992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.422095187 -0.380430527 +11990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.102664157 -0.380430527 +11993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.265335425 -0.380430527 +11994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.448111717 -0.380430527 +11995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.569979895 -0.380430527 +11996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.337797302 -0.380430527 +11998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.333986168 -0.380430527 +11999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 0.013093442 -0.380430527 +12000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.424181262 -0.380430527 +11997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.45 10 1 -0.227116771 -0.380430527 +12001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.04673085 -0.39321461 +12002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.491978066 -0.39321461 +12003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.737700291 -0.39321461 +12004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.579231087 -0.39321461 +12006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.152749956 -0.39321461 +12005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.816530351 -0.39321461 +12008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.202063346 -0.39321461 +12009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.148716641 -0.39321461 +12010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.064172846 -0.39321461 +12007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.68566595 -0.39321461 +12013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.067459638 -0.39321461 +12011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.064000102 -0.39321461 +12014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.673985009 -0.39321461 +12015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.67727294 -0.39321461 +12017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.645148258 -0.39321461 +12016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.620519746 -0.39321461 +12012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.584930565 -0.39321461 +12018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.062889971 -0.39321461 +12020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.02358793 -0.39321461 +12021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.045927026 -0.39321461 +12019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.614523871 -0.39321461 +12022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.334706956 -0.39321461 +12024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.284642407 -0.39321461 +12026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.476837425 -0.39321461 +12023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.263943242 -0.39321461 +12025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.297146985 -0.39321461 +12027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.278101294 -0.39321461 +12029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.334745289 -0.39321461 +12028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.277577694 -0.39321461 +12030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.389544669 -0.39321461 +12031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.429176478 -0.39321461 +12033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.034663374 -0.39321461 +12035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.086631446 -0.39321461 +12036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.552360287 -0.39321461 +12032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.681210692 -0.39321461 +12034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.594523067 -0.39321461 +12037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.61773706 -0.39321461 +12039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.232387664 -0.39321461 +12038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.539595983 -0.39321461 +12040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.104576041 -0.39321461 +12041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.103661177 -0.39321461 +12043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.428381631 -0.39321461 +12042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.80745859 -0.39321461 +12045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.674992553 -0.39321461 +12044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.576096679 -0.39321461 +12046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.064163335 -0.39321461 +12047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.110012251 -0.39321461 +12048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.216179882 -0.39321461 +12049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.051833615 -0.39321461 +12051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.557563796 -0.39321461 +12052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.686818406 -0.39321461 +12050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.744006703 -0.39321461 +12053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.065828975 -0.39321461 +12057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.633339575 -0.39321461 +12056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.674021836 -0.39321461 +12054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.318011605 -0.39321461 +12055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.491450947 -0.39321461 +12058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.703120077 -0.39321461 +12059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.571529945 -0.39321461 +12060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.351842406 -0.39321461 +12062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.402695931 -0.39321461 +12064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.64041553 -0.39321461 +12063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.807047459 -0.39321461 +12061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.380506325 -0.39321461 +12065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.223077989 -0.39321461 +12066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.391336953 -0.39321461 +12068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.043345264 -0.39321461 +12067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.154861407 -0.39321461 +12069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.662710931 -0.39321461 +12071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.382633107 -0.39321461 +12070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.387421189 -0.39321461 +12073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.147078069 -0.39321461 +12072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.188933328 -0.39321461 +12074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.750702492 -0.39321461 +12075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.047537245 -0.39321461 +12076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.486847907 -0.39321461 +12077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.568330866 -0.39321461 +12079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.049019016 -0.39321461 +12078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.785709209 -0.39321461 +12080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.303590522 -0.39321461 +12082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.131609241 -0.39321461 +12083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.043818637 -0.39321461 +12085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.211752289 -0.39321461 +12086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.522901584 -0.39321461 +12087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.08240437 -0.39321461 +12081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.613305164 -0.39321461 +12084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.478140883 -0.39321461 +12088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.211321169 -0.39321461 +12089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.328203373 -0.39321461 +12092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.368151396 -0.39321461 +12091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.313540001 -0.39321461 +12090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.57203485 -0.39321461 +12093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.033746236 -0.39321461 +12094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.034407773 -0.39321461 +12095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.481716473 -0.39321461 +12096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.166062791 -0.39321461 +12097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.781456533 -0.39321461 +12098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.672100093 -0.39321461 +12099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.491954092 -0.39321461 +12100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.307297639 -0.39321461 +12103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.059504656 -0.39321461 +12101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.36610328 -0.39321461 +12102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.453295318 -0.39321461 +12104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.098343751 -0.39321461 +12105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.672325607 -0.39321461 +12106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.441681217 -0.39321461 +12108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.664388707 -0.39321461 +12107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.287970372 -0.39321461 +12109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.721746925 -0.39321461 +12110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.457616482 -0.39321461 +12112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.284106143 -0.39321461 +12111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.067970428 -0.39321461 +12113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.653416377 -0.39321461 +12114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.501612479 -0.39321461 +12115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.479290626 -0.39321461 +12116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.584913191 -0.39321461 +12117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.625243523 -0.39321461 +12119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.313587849 -0.39321461 +12118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.41608275 -0.39321461 +12121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.150987976 -0.39321461 +12122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.321246312 -0.39321461 +12124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.703954421 -0.39321461 +12120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.029524145 -0.39321461 +12123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.571321601 -0.39321461 +12125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.061912048 -0.39321461 +12126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.522952922 -0.39321461 +12127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.748104283 -0.39321461 +12129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.084264426 -0.39321461 +12128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.651163844 -0.39321461 +12130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.074849442 -0.39321461 +12131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.572114294 -0.39321461 +12132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.252583559 -0.39321461 +12133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.655368623 -0.39321461 +12135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.245824764 -0.39321461 +12134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.376568127 -0.39321461 +12136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.405060035 -0.39321461 +12137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.550380932 -0.39321461 +12138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.596314067 -0.39321461 +12139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.816356041 -0.39321461 +12140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.243669669 -0.39321461 +12141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.851803907 -0.39321461 +12142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.757176942 -0.39321461 +12145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.57815556 -0.39321461 +12144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.245723073 -0.39321461 +12143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.027718195 -0.39321461 +12146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.490728661 -0.39321461 +12148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.709000145 -0.39321461 +12147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.474026813 -0.39321461 +12149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.305412958 -0.39321461 +12153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.543702101 -0.39321461 +12154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.428870739 -0.39321461 +12152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.62486117 -0.39321461 +12151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.12512758 -0.39321461 +12150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.262759069 -0.39321461 +12155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.171754741 -0.39321461 +12157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.678320782 -0.39321461 +12158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.565509844 -0.39321461 +12159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.624667972 -0.39321461 +12161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.143423998 -0.39321461 +12156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.483501158 -0.39321461 +12160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.291650781 -0.39321461 +12162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.511836596 -0.39321461 +12163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.227434687 -0.39321461 +12164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.051044861 -0.39321461 +12166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.407147124 -0.39321461 +12165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.116648753 -0.39321461 +12169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.531199926 -0.39321461 +12167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.479706858 -0.39321461 +12170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.394830138 -0.39321461 +12168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.025910363 -0.39321461 +12171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.337319505 -0.39321461 +12172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.535394595 -0.39321461 +12174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.49540859 -0.39321461 +12173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.331237805 -0.39321461 +12176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.425072026 -0.39321461 +12175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.339535809 -0.39321461 +12177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.017615042 -0.39321461 +12179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.027250131 -0.39321461 +12180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.584365318 -0.39321461 +12181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.569336448 -0.39321461 +12182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.460818168 -0.39321461 +12183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.372759608 -0.39321461 +12184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.626283587 -0.39321461 +12178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.60249303 -0.39321461 +12185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.332765873 -0.39321461 +12187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.767784471 -0.39321461 +12188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.68864569 -0.39321461 +12186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.016045211 -0.39321461 +12190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.24531402 -0.39321461 +12189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.423995673 -0.39321461 +12191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.25203342 -0.39321461 +12193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.335638685 -0.39321461 +12192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.453245346 -0.39321461 +12194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.725911786 -0.39321461 +12195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.791137891 -0.39321461 +12196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.095045196 -0.39321461 +12197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.317699857 -0.39321461 +12198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.369502154 -0.39321461 +12199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.509227061 -0.39321461 +12200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.137430388 -0.39321461 +12201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.03265261 -0.39321461 +12202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.204866163 -0.39321461 +12203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.499398327 -0.39321461 +12204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.376573129 -0.39321461 +12205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.765160217 -0.39321461 +12206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.282503929 -0.39321461 +12209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.536082018 -0.39321461 +12207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.454102525 -0.39321461 +12210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.560175842 -0.39321461 +12208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.573444649 -0.39321461 +12211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.576890004 -0.39321461 +12213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.482352768 -0.39321461 +12214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.566742071 -0.39321461 +12216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.401101906 -0.39321461 +12215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.140928178 -0.39321461 +12217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.249793687 -0.39321461 +12212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.603403706 -0.39321461 +12219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.816701791 -0.39321461 +12220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.565618763 -0.39321461 +12218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.242445778 -0.39321461 +12221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.044825176 -0.39321461 +12222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.211987306 -0.39321461 +12224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.563968265 -0.39321461 +12223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.285661804 -0.39321461 +12225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.212850381 -0.39321461 +12226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.084490364 -0.39321461 +12227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.134044372 -0.39321461 +12228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.307946287 -0.39321461 +12229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.163715462 -0.39321461 +12230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.655782921 -0.39321461 +12231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.341678631 -0.39321461 +12232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.855258889 -0.39321461 +12233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.020197276 -0.39321461 +12234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.629843624 -0.39321461 +12235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.388396407 -0.39321461 +12236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.595911775 -0.39321461 +12239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.366289854 -0.39321461 +12238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.699134251 -0.39321461 +12237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.571533146 -0.39321461 +12240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.280881841 -0.39321461 +12241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.181196478 -0.39321461 +12242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.568881619 -0.39321461 +12243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.049604865 -0.39321461 +12244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.418247024 -0.39321461 +12245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.642262974 -0.39321461 +12246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.655646213 -0.39321461 +12247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.472485795 -0.39321461 +12248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.708877778 -0.39321461 +12250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.615658089 -0.39321461 +12249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.398189729 -0.39321461 +12251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.325558503 -0.39321461 +12254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.504489137 -0.39321461 +12256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.838337729 -0.39321461 +12253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.591647103 -0.39321461 +12252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.208395267 -0.39321461 +12255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.489417501 -0.39321461 +12257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.181394228 -0.39321461 +12258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.711008616 -0.39321461 +12260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.120546949 -0.39321461 +12259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.709321211 -0.39321461 +12262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.555402289 -0.39321461 +12261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.15166636 -0.39321461 +12263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.257119584 -0.39321461 +12265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.121039225 -0.39321461 +12264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.706035957 -0.39321461 +12267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.684473008 -0.39321461 +12268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.487855171 -0.39321461 +12269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.76028586 -0.39321461 +12266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.507905744 -0.39321461 +12270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.076928806 -0.39321461 +12273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.018362842 -0.39321461 +12271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.13063728 -0.39321461 +12272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.306504608 -0.39321461 +12274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.323181993 -0.39321461 +12275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.708339785 -0.39321461 +12276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.425336101 -0.39321461 +12278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.281321277 -0.39321461 +12280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.251023916 -0.39321461 +12279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.168391847 -0.39321461 +12277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.710701638 -0.39321461 +12281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.291983058 -0.39321461 +12282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.325183989 -0.39321461 +12283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.592378181 -0.39321461 +12284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.13941204 -0.39321461 +12285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.665359936 -0.39321461 +12286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.733985083 -0.39321461 +12287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.075162922 -0.39321461 +12289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.162233495 -0.39321461 +12288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.696555543 -0.39321461 +12290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.012528431 -0.39321461 +12291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.033861845 -0.39321461 +12292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.324191614 -0.39321461 +12294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.160813881 -0.39321461 +12293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.553821877 -0.39321461 +12295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.712699854 -0.39321461 +12296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.314205978 -0.39321461 +12298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.336805227 -0.39321461 +12299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.131712828 -0.39321461 +12300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.165808334 -0.39321461 +12302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.687788717 -0.39321461 +12297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.321332261 -0.39321461 +12301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.101702334 -0.39321461 +12303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.024776847 -0.39321461 +12304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.518854488 -0.39321461 +12305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.243162912 -0.39321461 +12307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.20528594 -0.39321461 +12310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.092130422 -0.39321461 +12306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.746553667 -0.39321461 +12308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.002440816 -0.39321461 +12309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.541335212 -0.39321461 +12311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.417159214 -0.39321461 +12312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.30085276 -0.39321461 +12313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.412341038 -0.39321461 +12314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.443993123 -0.39321461 +12315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.019383069 -0.39321461 +12317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.539731326 -0.39321461 +12316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.729712362 -0.39321461 +12318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.106873459 -0.39321461 +12320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.228989564 -0.39321461 +12321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.800212375 -0.39321461 +12323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.795603539 -0.39321461 +12319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.473857236 -0.39321461 +12324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.863391424 -0.39321461 +12325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.623402834 -0.39321461 +12322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.747636826 -0.39321461 +12326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.368450519 -0.39321461 +12327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.509536092 -0.39321461 +12329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.51705866 -0.39321461 +12330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.131719869 -0.39321461 +12331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.301636382 -0.39321461 +12328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.204390574 -0.39321461 +12332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.006825708 -0.39321461 +12333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.234493506 -0.39321461 +12335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.576948338 -0.39321461 +12334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.067003372 -0.39321461 +12336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.058496976 -0.39321461 +12337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.235561587 -0.39321461 +12338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.739985728 -0.39321461 +12339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.279026852 -0.39321461 +12340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.750848929 -0.39321461 +12341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.674647249 -0.39321461 +12342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.297141404 -0.39321461 +12344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.00707975 -0.39321461 +12345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.083027526 -0.39321461 +12347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.331579051 -0.39321461 +12346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.101610905 -0.39321461 +12348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.553449175 -0.39321461 +12349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.62029402 -0.39321461 +12350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.664452351 -0.39321461 +12343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.561857875 -0.39321461 +12352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.184200065 -0.39321461 +12351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.059182029 -0.39321461 +12354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.595625848 -0.39321461 +12355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.762418973 -0.39321461 +12353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.66363321 -0.39321461 +12356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.729231973 -0.39321461 +12357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.755321291 -0.39321461 +12358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.811250458 -0.39321461 +12360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.072029177 -0.39321461 +12361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.405858548 -0.39321461 +12362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.687433608 -0.39321461 +12363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.02855742 -0.39321461 +12359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.153783891 -0.39321461 +12364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.094016116 -0.39321461 +12365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.236976024 -0.39321461 +12367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.592318055 -0.39321461 +12368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.370803267 -0.39321461 +12369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.545432152 -0.39321461 +12366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.2068397 -0.39321461 +12371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.108060884 -0.39321461 +12370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.25475071 -0.39321461 +12372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.102181079 -0.39321461 +12373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.303991201 -0.39321461 +12374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.45312727 -0.39321461 +12375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.653734518 -0.39321461 +12376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.501936669 -0.39321461 +12377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.551554191 -0.39321461 +12378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.469596509 -0.39321461 +12379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.097914812 -0.39321461 +12381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.00473563 -0.39321461 +12380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.621497817 -0.39321461 +12382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.061860692 -0.39321461 +12383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.345838702 -0.39321461 +12384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.802644078 -0.39321461 +12385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.664610232 -0.39321461 +12386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.739591973 -0.39321461 +12387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.602225394 -0.39321461 +12389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.266836297 -0.39321461 +12388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.486688664 -0.39321461 +12390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.415206226 -0.39321461 +12391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.58667293 -0.39321461 +12392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.107598989 -0.39321461 +12394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.225603374 -0.39321461 +12393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.077960856 -0.39321461 +12397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.345952624 -0.39321461 +12396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.012975905 -0.39321461 +12398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.332588593 -0.39321461 +12399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.736460481 -0.39321461 +12395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.62065573 -0.39321461 +12400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.566038309 -0.39321461 +12401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.358004129 -0.39321461 +12402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.421700993 -0.39321461 +12405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.815907844 -0.39321461 +12403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.361594869 -0.39321461 +12407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.384194016 -0.39321461 +12406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.702909692 -0.39321461 +12404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.698836136 -0.39321461 +12408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.518066917 -0.39321461 +12409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.043502621 -0.39321461 +12411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.489075638 -0.39321461 +12410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.887083242 -0.39321461 +12412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.545192291 -0.39321461 +12414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.528288729 -0.39321461 +12415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.2597169 -0.39321461 +12416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.751448686 -0.39321461 +12413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.58667925 -0.39321461 +12417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.411658105 -0.39321461 +12418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.338750023 -0.39321461 +12419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.025730798 -0.39321461 +12420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.103509788 -0.39321461 +12421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.38361312 -0.39321461 +12422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.505858748 -0.39321461 +12423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.260260778 -0.39321461 +12424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.132433704 -0.39321461 +12425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.494994696 -0.39321461 +12426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.039656533 -0.39321461 +12428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.131148116 -0.39321461 +12429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.192253218 -0.39321461 +12430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.651160989 -0.39321461 +12427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.538804773 -0.39321461 +12431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.477013009 -0.39321461 +12432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.199001735 -0.39321461 +12433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.601139327 -0.39321461 +12434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.717757095 -0.39321461 +12435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.064418866 -0.39321461 +12437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.808858952 -0.39321461 +12436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.345543947 -0.39321461 +12438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.345551237 -0.39321461 +12440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.784938319 -0.39321461 +12439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.723925342 -0.39321461 +12442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.003074906 -0.39321461 +12441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.246148031 -0.39321461 +12443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.372473862 -0.39321461 +12444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.042734281 -0.39321461 +12445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.469749262 -0.39321461 +12446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.437200622 -0.39321461 +12448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.491024307 -0.39321461 +12447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.419999907 -0.39321461 +12449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.683551683 -0.39321461 +12451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.260979192 -0.39321461 +12450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.326676011 -0.39321461 +12453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.540541622 -0.39321461 +12452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.036660018 -0.39321461 +12454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.331716007 -0.39321461 +12456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.249295089 -0.39321461 +12455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.152276869 -0.39321461 +12457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.620471472 -0.39321461 +12458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.610075882 -0.39321461 +12460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.506159484 -0.39321461 +12459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.161227946 -0.39321461 +12461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.026168883 -0.39321461 +12463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.037989303 -0.39321461 +12462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.219498784 -0.39321461 +12466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.809625736 -0.39321461 +12465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.626306408 -0.39321461 +12467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.074917666 -0.39321461 +12468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.745941513 -0.39321461 +12470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.003344742 -0.39321461 +12464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -1.90E-04 -0.39321461 +12469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.776679611 -0.39321461 +12471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.4705458 -0.39321461 +12472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.674359498 -0.39321461 +12473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.125278371 -0.39321461 +12474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.324487659 -0.39321461 +12475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.53511875 -0.39321461 +12476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.253705311 -0.39321461 +12478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.248828696 -0.39321461 +12477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.586420434 -0.39321461 +12479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.356754677 -0.39321461 +12480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.827899205 -0.39321461 +12481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.065775566 -0.39321461 +12482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.800502318 -0.39321461 +12484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.722517208 -0.39321461 +12483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.76021984 -0.39321461 +12485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.289193187 -0.39321461 +12487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.445411787 -0.39321461 +12488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.479335652 -0.39321461 +12489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.138298468 -0.39321461 +12490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.0073074 -0.39321461 +12492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.172506776 -0.39321461 +12491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.556420781 -0.39321461 +12486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.652080405 -0.39321461 +12493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.361816223 -0.39321461 +12494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.405676393 -0.39321461 +12495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.607017972 -0.39321461 +12496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.778614604 -0.39321461 +12497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.69566018 -0.39321461 +12499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.516068038 -0.39321461 +12501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.115826426 -0.39321461 +12500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.362201688 -0.39321461 +12498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.664127549 -0.39321461 +12503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.728161679 -0.39321461 +12502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.658974909 -0.39321461 +12504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.739167933 -0.39321461 +12505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.029744584 -0.39321461 +12506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.742444044 -0.39321461 +12507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.219119071 -0.39321461 +12509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.636602596 -0.39321461 +12510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.502181401 -0.39321461 +12511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.312417127 -0.39321461 +12512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.012202974 -0.39321461 +12508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.646713549 -0.39321461 +12513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.45550912 -0.39321461 +12514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.823209578 -0.39321461 +12515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.604329816 -0.39321461 +12517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.741832639 -0.39321461 +12518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.629104227 -0.39321461 +12519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.603610445 -0.39321461 +12516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.180145618 -0.39321461 +12521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.29903447 -0.39321461 +12520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.420617562 -0.39321461 +12522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.360560854 -0.39321461 +12523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.521962519 -0.39321461 +12524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.137862446 -0.39321461 +12526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.334943987 -0.39321461 +12527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.802965729 -0.39321461 +12528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.362108995 -0.39321461 +12525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.348976026 -0.39321461 +12529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.502653615 -0.39321461 +12531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.032757338 -0.39321461 +12530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.787818573 -0.39321461 +12532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.694285221 -0.39321461 +12533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.247870965 -0.39321461 +12534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.691751801 -0.39321461 +12535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.549520779 -0.39321461 +12536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.72164486 -0.39321461 +12537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.219424117 -0.39321461 +12539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.105776483 -0.39321461 +12538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.396792804 -0.39321461 +12540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.239637753 -0.39321461 +12541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.12958653 -0.39321461 +12543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.749231497 -0.39321461 +12542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.57235863 -0.39321461 +12546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.061508965 -0.39321461 +12545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.69208106 -0.39321461 +12544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.142665971 -0.39321461 +12548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.860422781 -0.39321461 +12549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.495626509 -0.39321461 +12550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.043345605 -0.39321461 +12547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.784216894 -0.39321461 +12551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.280679302 -0.39321461 +12555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.04299041 -0.39321461 +12554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.52248548 -0.39321461 +12552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.00697981 -0.39321461 +12557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.672595439 -0.39321461 +12556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.81439954 -0.39321461 +12558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.110102211 -0.39321461 +12553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.689427653 -0.39321461 +12560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.10060182 -0.39321461 +12559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.205682129 -0.39321461 +12562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.60465129 -0.39321461 +12561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.38564448 -0.39321461 +12564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.538696111 -0.39321461 +12563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.735221021 -0.39321461 +12565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.298224574 -0.39321461 +12566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.10131712 -0.39321461 +12568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.629549689 -0.39321461 +12567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.091981263 -0.39321461 +12571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.200876736 -0.39321461 +12569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.604064313 -0.39321461 +12570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.42447791 -0.39321461 +12572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.667053692 -0.39321461 +12573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.5517388 -0.39321461 +12574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.781763936 -0.39321461 +12576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.296025694 -0.39321461 +12575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.022624678 -0.39321461 +12579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.417684519 -0.39321461 +12577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.221761955 -0.39321461 +12578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.027681524 -0.39321461 +12580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.61739883 -0.39321461 +12581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.405763502 -0.39321461 +12583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.013197763 -0.39321461 +12582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.117488441 -0.39321461 +12586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.790018976 -0.39321461 +12585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.456788506 -0.39321461 +12587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.612026567 -0.39321461 +12584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.269725249 -0.39321461 +12588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.677863525 -0.39321461 +12589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.038722423 -0.39321461 +12590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.169485717 -0.39321461 +12591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.578508516 -0.39321461 +12592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.811586457 -0.39321461 +12593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.457842182 -0.39321461 +12596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.264882149 -0.39321461 +12595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.051906325 -0.39321461 +12597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.348319602 -0.39321461 +12594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.295432314 -0.39321461 +12598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.358505152 -0.39321461 +12599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.480238298 -0.39321461 +12600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.094165959 -0.39321461 +12601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.045649804 -0.39321461 +12602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.320138854 -0.39321461 +12605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.045590355 -0.39321461 +12606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.269603144 -0.39321461 +12603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.586783615 -0.39321461 +12607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.020605985 -0.39321461 +12604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.832442298 -0.39321461 +12608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.508084107 -0.39321461 +12609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.805967667 -0.39321461 +12610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.074334369 -0.39321461 +12611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.359773243 -0.39321461 +12612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.812373608 -0.39321461 +12614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.67718085 -0.39321461 +12613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.524054567 -0.39321461 +12615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.475004619 -0.39321461 +12616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.803973943 -0.39321461 +12618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.372443494 -0.39321461 +12617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.378976733 -0.39321461 +12619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.769973985 -0.39321461 +12620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.257247446 -0.39321461 +12624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.642488198 -0.39321461 +12623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.137992863 -0.39321461 +12626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.031280651 -0.39321461 +12621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.06134506 -0.39321461 +12625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.064604977 -0.39321461 +12622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.362210681 -0.39321461 +12627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.239590479 -0.39321461 +12628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.572625343 -0.39321461 +12629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.219509833 -0.39321461 +12630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.629314358 -0.39321461 +12632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.215190497 -0.39321461 +12631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.154025496 -0.39321461 +12633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.374295823 -0.39321461 +12635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.74851565 -0.39321461 +12636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.471610237 -0.39321461 +12637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.07111527 -0.39321461 +12634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.037475761 -0.39321461 +12638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.725731569 -0.39321461 +12640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.610096914 -0.39321461 +12641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.722168475 -0.39321461 +12639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.614799687 -0.39321461 +12642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.45150812 -0.39321461 +12643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.075295097 -0.39321461 +12644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.72368749 -0.39321461 +12645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.676437328 -0.39321461 +12648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.2074149 -0.39321461 +12647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.626730016 -0.39321461 +12649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.661243605 -0.39321461 +12646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.242141684 -0.39321461 +12651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.54545277 -0.39321461 +12652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.095580087 -0.39321461 +12650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.100844686 -0.39321461 +12653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.614793145 -0.39321461 +12654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.311666966 -0.39321461 +12655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.162910592 -0.39321461 +12656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.061655402 -0.39321461 +12657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.197524657 -0.39321461 +12658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.695588469 -0.39321461 +12659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.403830521 -0.39321461 +12660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.413028246 -0.39321461 +12662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.751028394 -0.39321461 +12664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.091951425 -0.39321461 +12661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.302147926 -0.39321461 +12663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.007216473 -0.39321461 +12667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.165048622 -0.39321461 +12666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.456935152 -0.39321461 +12665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.736186173 -0.39321461 +12668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.43383556 -0.39321461 +12670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.743037713 -0.39321461 +12669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.040787035 -0.39321461 +12672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.412365304 -0.39321461 +12674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.629702022 -0.39321461 +12673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.586847704 -0.39321461 +12675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.575308473 -0.39321461 +12671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.622878573 -0.39321461 +12676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.088406309 -0.39321461 +12678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.753726114 -0.39321461 +12679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.545584591 -0.39321461 +12681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.295568077 -0.39321461 +12680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.147181957 -0.39321461 +12682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.757568464 -0.39321461 +12677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.559579846 -0.39321461 +12683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.573602523 -0.39321461 +12684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.324360405 -0.39321461 +12685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.61059368 -0.39321461 +12687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.101482849 -0.39321461 +12688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.226800505 -0.39321461 +12686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.781007773 -0.39321461 +12689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.485549633 -0.39321461 +12690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.05813313 -0.39321461 +12691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.665101126 -0.39321461 +12693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.193399711 -0.39321461 +12694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.086890039 -0.39321461 +12696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.244627724 -0.39321461 +12692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.439162239 -0.39321461 +12697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.714832534 -0.39321461 +12695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.647039351 -0.39321461 +12698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.338470913 -0.39321461 +12699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.130268609 -0.39321461 +12701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.181319942 -0.39321461 +12700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.151400854 -0.39321461 +12703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.246169499 -0.39321461 +12704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.180361644 -0.39321461 +12705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.245674185 -0.39321461 +12702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.028192529 -0.39321461 +12706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.698369686 -0.39321461 +12708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.43765179 -0.39321461 +12709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.38582488 -0.39321461 +12707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.62428605 -0.39321461 +12712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.589789896 -0.39321461 +12713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.132245799 -0.39321461 +12714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.137514197 -0.39321461 +12710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.264319754 -0.39321461 +12711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.610091242 -0.39321461 +12715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.372961965 -0.39321461 +12716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.638179672 -0.39321461 +12718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.061269104 -0.39321461 +12719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.459790002 -0.39321461 +12720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.237576921 -0.39321461 +12721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.338987642 -0.39321461 +12717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.552836849 -0.39321461 +12722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.067193713 -0.39321461 +12723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.180005644 -0.39321461 +12724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.080753796 -0.39321461 +12725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.17520307 -0.39321461 +12728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.832730425 -0.39321461 +12727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.581315774 -0.39321461 +12729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.188731957 -0.39321461 +12726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.215430648 -0.39321461 +12731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.029268275 -0.39321461 +12730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.430066767 -0.39321461 +12733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.579447723 -0.39321461 +12732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.132978022 -0.39321461 +12735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.052309518 -0.39321461 +12734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.472809391 -0.39321461 +12736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.645792616 -0.39321461 +12737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.810262936 -0.39321461 +12738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.474459416 -0.39321461 +12739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.52838447 -0.39321461 +12740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.392719053 -0.39321461 +12741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.436600672 -0.39321461 +12743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.52545166 -0.39321461 +12742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.731798781 -0.39321461 +12745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.647843075 -0.39321461 +12746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.788699723 -0.39321461 +12747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.29203521 -0.39321461 +12749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.340966745 -0.39321461 +12748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.051495303 -0.39321461 +12744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.678432238 -0.39321461 +12750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.464426671 -0.39321461 +12752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.218929318 -0.39321461 +12751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.04376126 -0.39321461 +12753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.393052979 -0.39321461 +12755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.507512041 -0.39321461 +12756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.789877828 -0.39321461 +12757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.357763999 -0.39321461 +12754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.732458456 -0.39321461 +12758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.694127598 -0.39321461 +12759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.258512763 -0.39321461 +12761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.715176774 -0.39321461 +12760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.76586903 -0.39321461 +12762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.694377236 -0.39321461 +12763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.254366731 -0.39321461 +12765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.208085309 -0.39321461 +12766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.143826083 -0.39321461 +12764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.180173257 -0.39321461 +12768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.021691404 -0.39321461 +12770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.256020454 -0.39321461 +12769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.029618317 -0.39321461 +12771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.069289147 -0.39321461 +12767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.576566088 -0.39321461 +12772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.062231497 -0.39321461 +12774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.828576775 -0.39321461 +12775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.028844282 -0.39321461 +12773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.315148356 -0.39321461 +12776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.463370032 -0.39321461 +12777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.415546376 -0.39321461 +12778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.245097582 -0.39321461 +12779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.330688315 -0.39321461 +12780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.326025618 -0.39321461 +12782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.13198318 -0.39321461 +12783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.109215938 -0.39321461 +12784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.735973873 -0.39321461 +12785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.594855628 -0.39321461 +12786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.008826606 -0.39321461 +12781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.532927328 -0.39321461 +12788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.76706707 -0.39321461 +12787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.103909078 -0.39321461 +12789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 1.61E-04 -0.39321461 +12790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.062355699 -0.39321461 +12791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.559857238 -0.39321461 +12793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.586149619 -0.39321461 +12792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.049791682 -0.39321461 +12795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.142263534 -0.39321461 +12794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.131447664 -0.39321461 +12796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.149723704 -0.39321461 +12797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.190248284 -0.39321461 +12799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.298882842 -0.39321461 +12798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.317144452 -0.39321461 +12800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.781681837 -0.39321461 +12804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.550097649 -0.39321461 +12803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.631050817 -0.39321461 +12801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.746526116 -0.39321461 +12802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.598532218 -0.39321461 +12805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.63738443 -0.39321461 +12806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.527234422 -0.39321461 +12807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.083023053 -0.39321461 +12808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.838501435 -0.39321461 +12809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.045909927 -0.39321461 +12811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.178524915 -0.39321461 +12810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.072897298 -0.39321461 +12813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.123798245 -0.39321461 +12814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.521729026 -0.39321461 +12812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.506594702 -0.39321461 +12815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.659392371 -0.39321461 +12816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.428206482 -0.39321461 +12817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.060532822 -0.39321461 +12818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.03568923 -0.39321461 +12819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.646813576 -0.39321461 +12820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.053420408 -0.39321461 +12821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.16185452 -0.39321461 +12822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.207563828 -0.39321461 +12823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.672059587 -0.39321461 +12825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.765357308 -0.39321461 +12824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.004652497 -0.39321461 +12826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.336877454 -0.39321461 +12828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.55133214 -0.39321461 +12829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.488046997 -0.39321461 +12827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.295940196 -0.39321461 +12830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.064086642 -0.39321461 +12831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.129870379 -0.39321461 +12832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.598850684 -0.39321461 +12833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.393645562 -0.39321461 +12834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.802491969 -0.39321461 +12835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.664586884 -0.39321461 +12838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.736354729 -0.39321461 +12836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.201958156 -0.39321461 +12837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.345460528 -0.39321461 +12839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.345981679 -0.39321461 +12840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.129651766 -0.39321461 +12841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.256632073 -0.39321461 +12842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.032029663 -0.39321461 +12843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.284211727 -0.39321461 +12844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.02094355 -0.39321461 +12845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.087445284 -0.39321461 +12847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.215331343 -0.39321461 +12846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.418723225 -0.39321461 +12849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.451759821 -0.39321461 +12848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.590021348 -0.39321461 +12850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.748855426 -0.39321461 +12852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.421115824 -0.39321461 +12853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.184031086 -0.39321461 +12851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.178455074 -0.39321461 +12854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.589360559 -0.39321461 +12855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.333325068 -0.39321461 +12857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.563936316 -0.39321461 +12856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.51004575 -0.39321461 +12858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.04448366 -0.39321461 +12859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.664620335 -0.39321461 +12860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.188717117 -0.39321461 +12861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.599715263 -0.39321461 +12862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.770160419 -0.39321461 +12864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.777509596 -0.39321461 +12865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.066313913 -0.39321461 +12863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.78280364 -0.39321461 +12866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.795837917 -0.39321461 +12867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.251909962 -0.39321461 +12868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.578732793 -0.39321461 +12869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.575946172 -0.39321461 +12870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.779726579 -0.39321461 +12872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.348058573 -0.39321461 +12871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.562724757 -0.39321461 +12873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.675462653 -0.39321461 +12874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.634054654 -0.39321461 +12875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.693886378 -0.39321461 +12876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.255261337 -0.39321461 +12877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.395020818 -0.39321461 +12878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.715645969 -0.39321461 +12879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.145600055 -0.39321461 +12880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.002628036 -0.39321461 +12882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.783955144 -0.39321461 +12883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.441291853 -0.39321461 +12881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.174158406 -0.39321461 +12884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.52434091 -0.39321461 +12886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.622135269 -0.39321461 +12885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.758610763 -0.39321461 +12887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.232878922 -0.39321461 +12888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.566744623 -0.39321461 +12889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.65060014 -0.39321461 +12890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.076076971 -0.39321461 +12892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.096208356 -0.39321461 +12893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.472268159 -0.39321461 +12891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.191277445 -0.39321461 +12894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.62006015 -0.39321461 +12895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.151908058 -0.39321461 +12896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.352448483 -0.39321461 +12898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.585694842 -0.39321461 +12897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.313800467 -0.39321461 +12899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.028187295 -0.39321461 +12900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.048242459 -0.39321461 +12902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.546245997 -0.39321461 +12903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.423333128 -0.39321461 +12901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.615590138 -0.39321461 +12904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.031674122 -0.39321461 +12906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.258875848 -0.39321461 +12907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.301832757 -0.39321461 +12905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.378740163 -0.39321461 +12908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.519148243 -0.39321461 +12909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.450922465 -0.39321461 +12910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.418417718 -0.39321461 +12911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.499492066 -0.39321461 +12912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.456086376 -0.39321461 +12914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.076208759 -0.39321461 +12913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.332321991 -0.39321461 +12915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.840319241 -0.39321461 +12916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.624207213 -0.39321461 +12917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.02965137 -0.39321461 +12918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.293542848 -0.39321461 +12919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.104234423 -0.39321461 +12920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.15831334 -0.39321461 +12922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.021723494 -0.39321461 +12923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.616083769 -0.39321461 +12921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.577947206 -0.39321461 +12925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.001769719 -0.39321461 +12924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.518349806 -0.39321461 +12926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.673958758 -0.39321461 +12928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.329823539 -0.39321461 +12927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.837155204 -0.39321461 +12930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.022604888 -0.39321461 +12931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.399884814 -0.39321461 +12929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.334759709 -0.39321461 +12932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.165614894 -0.39321461 +12933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.49543034 -0.39321461 +12934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.735834122 -0.39321461 +12935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.011665102 -0.39321461 +12937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.366816209 -0.39321461 +12938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.76499356 -0.39321461 +12936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.259379481 -0.39321461 +12939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.199728422 -0.39321461 +12940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.227620496 -0.39321461 +12941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.613120545 -0.39321461 +12942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.690840117 -0.39321461 +12943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.738820754 -0.39321461 +12944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.499460637 -0.39321461 +12945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.820839656 -0.39321461 +12947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.489802233 -0.39321461 +12948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.678349141 -0.39321461 +12949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.343449325 -0.39321461 +12946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.583020627 -0.39321461 +12950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.516846833 -0.39321461 +12951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.135059816 -0.39321461 +12952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.729238718 -0.39321461 +12953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.508151132 -0.39321461 +12954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.164813401 -0.39321461 +12955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.081057331 -0.39321461 +12956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.030449743 -0.39321461 +12957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.697418845 -0.39321461 +12958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.118844434 -0.39321461 +12959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.294840897 -0.39321461 +12963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.388230986 -0.39321461 +12960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.095937674 -0.39321461 +12961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.370009415 -0.39321461 +12962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.123586484 -0.39321461 +12964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.71805956 -0.39321461 +12966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.351700583 -0.39321461 +12967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.566366023 -0.39321461 +12968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.383212187 -0.39321461 +12969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.596223179 -0.39321461 +12965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.408268163 -0.39321461 +12971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.12777675 -0.39321461 +12970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.109347204 -0.39321461 +12972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.127427093 -0.39321461 +12973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.535941877 -0.39321461 +12974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.578944033 -0.39321461 +12975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.654722132 -0.39321461 +12976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.196766167 -0.39321461 +12978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.201976221 -0.39321461 +12979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.491440275 -0.39321461 +12977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.277772422 -0.39321461 +12980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.200458752 -0.39321461 +12981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.079347316 -0.39321461 +12982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.518528365 -0.39321461 +12984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.546466621 -0.39321461 +12983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.341255238 -0.39321461 +12985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.818415028 -0.39321461 +12986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.016465995 -0.39321461 +12987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.338450072 -0.39321461 +12988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.29123329 -0.39321461 +12989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.238489284 -0.39321461 +12990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.32478257 -0.39321461 +12992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.730324031 -0.39321461 +12991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.406516614 -0.39321461 +12993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 0.005188639 -0.39321461 +12994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.097514564 -0.39321461 +12996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.264067375 -0.39321461 +12995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.530052678 -0.39321461 +12997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.226676852 -0.39321461 +12999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.421960415 -0.39321461 +12998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.622467706 -0.39321461 +13000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.4 10 1 -0.728774341 -0.39321461 +13002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.02656992 -0.389633467 +13001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.732484646 -0.389633467 +13003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.033387431 -0.389633467 +13004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.457176961 -0.389633467 +13005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.477508897 -0.389633467 +13006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.164134751 -0.389633467 +13007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.003283031 -0.389633467 +13008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.268069922 -0.389633467 +13009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.421947369 -0.389633467 +13010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.768288586 -0.389633467 +13011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.342579741 -0.389633467 +13013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.476430866 -0.389633467 +13014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.592990922 -0.389633467 +13012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.115417641 -0.389633467 +13015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.53447943 -0.389633467 +13016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.639447179 -0.389633467 +13017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.034185106 -0.389633467 +13018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.564829477 -0.389633467 +13019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.77766751 -0.389633467 +13020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.408351489 -0.389633467 +13021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.894897738 -0.389633467 +13023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.242892503 -0.389633467 +13024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.018732551 -0.389633467 +13022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.101837789 -0.389633467 +13026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.528113365 -0.389633467 +13025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.675020285 -0.389633467 +13027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.169135886 -0.389633467 +13028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.68837974 -0.389633467 +13029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.536963826 -0.389633467 +13030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.525054956 -0.389633467 +13031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.141157533 -0.389633467 +13032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.002263946 -0.389633467 +13034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.041090445 -0.389633467 +13033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.540958724 -0.389633467 +13035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.248610224 -0.389633467 +13036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.736010349 -0.389633467 +13037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.620032373 -0.389633467 +13038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.184383914 -0.389633467 +13039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.106789147 -0.389633467 +13040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.250847071 -0.389633467 +13041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.508969315 -0.389633467 +13042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.425886693 -0.389633467 +13043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.744841237 -0.389633467 +13044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.318041312 -0.389633467 +13045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.556650716 -0.389633467 +13046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.330272673 -0.389633467 +13047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.255303232 -0.389633467 +13050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.163716786 -0.389633467 +13049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.227225039 -0.389633467 +13051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.649346776 -0.389633467 +13052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.424682449 -0.389633467 +13048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.217194665 -0.389633467 +13053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.727875298 -0.389633467 +13055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.03633377 -0.389633467 +13054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.619233644 -0.389633467 +13057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.759604172 -0.389633467 +13056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.768240446 -0.389633467 +13058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.092279944 -0.389633467 +13059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.365368379 -0.389633467 +13060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.569988873 -0.389633467 +13062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.331907867 -0.389633467 +13061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.708804467 -0.389633467 +13063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.770642755 -0.389633467 +13065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.535505782 -0.389633467 +13064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.664097308 -0.389633467 +13066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.027207023 -0.389633467 +13068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.239937246 -0.389633467 +13067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.007949222 -0.389633467 +13070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.390541377 -0.389633467 +13069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.375620812 -0.389633467 +13071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.567577285 -0.389633467 +13073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.494374244 -0.389633467 +13072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.274539255 -0.389633467 +13074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.407953137 -0.389633467 +13076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.097394862 -0.389633467 +13077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.641372576 -0.389633467 +13078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.226385707 -0.389633467 +13079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.170549295 -0.389633467 +13075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.231445854 -0.389633467 +13080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.119669522 -0.389633467 +13081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.182651358 -0.389633467 +13082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.069928041 -0.389633467 +13083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.597418538 -0.389633467 +13084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.457268987 -0.389633467 +13085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.246625489 -0.389633467 +13086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.101887439 -0.389633467 +13088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.549992301 -0.389633467 +13090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.587537488 -0.389633467 +13087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.348418469 -0.389633467 +13089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.016948568 -0.389633467 +13092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.152513547 -0.389633467 +13093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.375759875 -0.389633467 +13091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.656425449 -0.389633467 +13094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.684328269 -0.389633467 +13095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.389268125 -0.389633467 +13096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.629264128 -0.389633467 +13097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.645395846 -0.389633467 +13098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.338021448 -0.389633467 +13099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.780543326 -0.389633467 +13101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.439288318 -0.389633467 +13100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.251367738 -0.389633467 +13103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.045704399 -0.389633467 +13104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.363291673 -0.389633467 +13102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.682348199 -0.389633467 +13107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.136856971 -0.389633467 +13105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.037584056 -0.389633467 +13109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.251243201 -0.389633467 +13106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.174841873 -0.389633467 +13108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.673684324 -0.389633467 +13111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.392039397 -0.389633467 +13110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.543621173 -0.389633467 +13112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.178154831 -0.389633467 +13113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.360899694 -0.389633467 +13114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.074121041 -0.389633467 +13116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.020867116 -0.389633467 +13115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.248116613 -0.389633467 +13118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.584094503 -0.389633467 +13117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.664901642 -0.389633467 +13120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.688851544 -0.389633467 +13119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.162248773 -0.389633467 +13121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.370421006 -0.389633467 +13124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.407115994 -0.389633467 +13123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.482726303 -0.389633467 +13122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.623158092 -0.389633467 +13126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.032830377 -0.389633467 +13125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.094772212 -0.389633467 +13128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.133045251 -0.389633467 +13127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.046525523 -0.389633467 +13129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.034168106 -0.389633467 +13130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.199960154 -0.389633467 +13131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.839509388 -0.389633467 +13132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.102104974 -0.389633467 +13134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.048360604 -0.389633467 +13133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.62464111 -0.389633467 +13135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.294152073 -0.389633467 +13136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.590716017 -0.389633467 +13137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.025016186 -0.389633467 +13138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.675043093 -0.389633467 +13139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.144957597 -0.389633467 +13142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.029158654 -0.389633467 +13141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.550476712 -0.389633467 +13143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.744675496 -0.389633467 +13140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.587047452 -0.389633467 +13144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.317896893 -0.389633467 +13145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.507703751 -0.389633467 +13146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.095473666 -0.389633467 +13147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.717052244 -0.389633467 +13149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.750052441 -0.389633467 +13148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.076109442 -0.389633467 +13150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.276637507 -0.389633467 +13152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.397370858 -0.389633467 +13151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.290472713 -0.389633467 +13153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.256533567 -0.389633467 +13154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.715315238 -0.389633467 +13155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.396458984 -0.389633467 +13156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.16881071 -0.389633467 +13158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.473631785 -0.389633467 +13157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.348208748 -0.389633467 +13159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.750635085 -0.389633467 +13160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.285043669 -0.389633467 +13162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.420713787 -0.389633467 +13161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.112356811 -0.389633467 +13163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.673579178 -0.389633467 +13165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.635934331 -0.389633467 +13166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.119882928 -0.389633467 +13164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.645771485 -0.389633467 +13169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.055530998 -0.389633467 +13167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.525488187 -0.389633467 +13170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.288193259 -0.389633467 +13171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.364052137 -0.389633467 +13168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.693900889 -0.389633467 +13173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.438876345 -0.389633467 +13172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.770777026 -0.389633467 +13174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.345557554 -0.389633467 +13175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.564020671 -0.389633467 +13176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.790468665 -0.389633467 +13177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.783129651 -0.389633467 +13178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.615981856 -0.389633467 +13179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.363575619 -0.389633467 +13180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.428833699 -0.389633467 +13182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.45921958 -0.389633467 +13181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.088927465 -0.389633467 +13183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.385992129 -0.389633467 +13184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.678312216 -0.389633467 +13185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.754681688 -0.389633467 +13186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.226943476 -0.389633467 +13188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.671180661 -0.389633467 +13190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.775065574 -0.389633467 +13189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.278336023 -0.389633467 +13192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.055688125 -0.389633467 +13191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.455297665 -0.389633467 +13193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.175486062 -0.389633467 +13187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.330461506 -0.389633467 +13194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.610055117 -0.389633467 +13196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.63095434 -0.389633467 +13195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.158836137 -0.389633467 +13197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.556830771 -0.389633467 +13199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.173756216 -0.389633467 +13198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.083847807 -0.389633467 +13200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.108680614 -0.389633467 +13201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.575530978 -0.389633467 +13202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.490184713 -0.389633467 +13203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.055539657 -0.389633467 +13204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.287751869 -0.389633467 +13205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.028431697 -0.389633467 +13206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.699078562 -0.389633467 +13207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.267067526 -0.389633467 +13208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.479557119 -0.389633467 +13210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.311790643 -0.389633467 +13209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.055840829 -0.389633467 +13212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.341173996 -0.389633467 +13215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.695948429 -0.389633467 +13214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.612163118 -0.389633467 +13211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.032543442 -0.389633467 +13213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.443762314 -0.389633467 +13216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.356941067 -0.389633467 +13217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.758330433 -0.389633467 +13219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.678915866 -0.389633467 +13218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.155233823 -0.389633467 +13220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.417237908 -0.389633467 +13221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.761205945 -0.389633467 +13222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.316363621 -0.389633467 +13224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.851346269 -0.389633467 +13223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.206074067 -0.389633467 +13225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.571112684 -0.389633467 +13226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.577000682 -0.389633467 +13229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.03013151 -0.389633467 +13228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.063123133 -0.389633467 +13230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.767457492 -0.389633467 +13231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.72969025 -0.389633467 +13227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.463982021 -0.389633467 +13232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.141854179 -0.389633467 +13233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.504649399 -0.389633467 +13234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.176442044 -0.389633467 +13235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.072300846 -0.389633467 +13236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.178927993 -0.389633467 +13237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.767047062 -0.389633467 +13238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.521255345 -0.389633467 +13240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.541830327 -0.389633467 +13241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.47821495 -0.389633467 +13242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.236481972 -0.389633467 +13239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.040332749 -0.389633467 +13243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.32338802 -0.389633467 +13244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.048377688 -0.389633467 +13245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.510268631 -0.389633467 +13246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.595658972 -0.389633467 +13247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.750973958 -0.389633467 +13248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.685878355 -0.389633467 +13249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.035339835 -0.389633467 +13251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.782395434 -0.389633467 +13252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.279597138 -0.389633467 +13250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.290371596 -0.389633467 +13253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.174857237 -0.389633467 +13254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.494630409 -0.389633467 +13255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.644968002 -0.389633467 +13256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.428245739 -0.389633467 +13257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.071873946 -0.389633467 +13258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.213777267 -0.389633467 +13259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.550610814 -0.389633467 +13261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.089960821 -0.389633467 +13260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.183488656 -0.389633467 +13262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.362107805 -0.389633467 +13263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.069374337 -0.389633467 +13265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.710276515 -0.389633467 +13264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.528901565 -0.389633467 +13266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.466160344 -0.389633467 +13267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.505810057 -0.389633467 +13268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.180628366 -0.389633467 +13271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.251656614 -0.389633467 +13270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.700252029 -0.389633467 +13269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.51006495 -0.389633467 +13272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.382620932 -0.389633467 +13274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.592217384 -0.389633467 +13273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.256535118 -0.389633467 +13275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.412137617 -0.389633467 +13276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.437933053 -0.389633467 +13279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.38864034 -0.389633467 +13278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.181193749 -0.389633467 +13277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.733185798 -0.389633467 +13280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.516200021 -0.389633467 +13281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.01738135 -0.389633467 +13282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.416470953 -0.389633467 +13283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.449115591 -0.389633467 +13284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.629882282 -0.389633467 +13287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.050616179 -0.389633467 +13285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.501331195 -0.389633467 +13289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.622908089 -0.389633467 +13288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.459509039 -0.389633467 +13286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.838543019 -0.389633467 +13290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.613215395 -0.389633467 +13291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.080430271 -0.389633467 +13292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.407610637 -0.389633467 +13294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.522984008 -0.389633467 +13293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.5462897 -0.389633467 +13295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.628582232 -0.389633467 +13296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.44840692 -0.389633467 +13297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.74172616 -0.389633467 +13299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.344965041 -0.389633467 +13298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.433284469 -0.389633467 +13300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.415754021 -0.389633467 +13301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.309678271 -0.389633467 +13303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.118250304 -0.389633467 +13304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.328452632 -0.389633467 +13302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.353107526 -0.389633467 +13306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.399084604 -0.389633467 +13307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.14500977 -0.389633467 +13308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.207728377 -0.389633467 +13305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.70727722 -0.389633467 +13310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.343058648 -0.389633467 +13309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.131520275 -0.389633467 +13311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.68593458 -0.389633467 +13312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.21357571 -0.389633467 +13313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.394496011 -0.389633467 +13314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.38753303 -0.389633467 +13315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.685187217 -0.389633467 +13316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.637189761 -0.389633467 +13317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.371131494 -0.389633467 +13318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.418172706 -0.389633467 +13319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.551921024 -0.389633467 +13320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.144051067 -0.389633467 +13321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.789710241 -0.389633467 +13322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.189865827 -0.389633467 +13323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.325007709 -0.389633467 +13325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.76938407 -0.389633467 +13327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.007334034 -0.389633467 +13326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.171504025 -0.389633467 +13324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.716777924 -0.389633467 +13328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.100487804 -0.389633467 +13329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.043620145 -0.389633467 +13331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.274985176 -0.389633467 +13332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.587990548 -0.389633467 +13334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.678772738 -0.389633467 +13330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.748623628 -0.389633467 +13333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.594218965 -0.389633467 +13335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.591802271 -0.389633467 +13337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.776289902 -0.389633467 +13336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.216086315 -0.389633467 +13338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.004843329 -0.389633467 +13340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.223787544 -0.389633467 +13339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.442495372 -0.389633467 +13341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.771092406 -0.389633467 +13342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.260266959 -0.389633467 +13343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.851705643 -0.389633467 +13345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.019829404 -0.389633467 +13344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.540937065 -0.389633467 +13346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.162124697 -0.389633467 +13347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.051125602 -0.389633467 +13348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.243602568 -0.389633467 +13350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.340921571 -0.389633467 +13349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.778667944 -0.389633467 +13351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.143276002 -0.389633467 +13353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.740066011 -0.389633467 +13352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.381741106 -0.389633467 +13355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.008288767 -0.389633467 +13356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.026040681 -0.389633467 +13357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.148551771 -0.389633467 +13354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.519912331 -0.389633467 +13358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.045464391 -0.389633467 +13360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.522476883 -0.389633467 +13361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.015729089 -0.389633467 +13359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.136763891 -0.389633467 +13363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.207505674 -0.389633467 +13362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.022308829 -0.389633467 +13364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.606720244 -0.389633467 +13366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.060840889 -0.389633467 +13365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.187146726 -0.389633467 +13368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.349390299 -0.389633467 +13370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.740493622 -0.389633467 +13367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.535800837 -0.389633467 +13371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.499875441 -0.389633467 +13372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.690647708 -0.389633467 +13374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.4449144 -0.389633467 +13373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.187732477 -0.389633467 +13369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.754975715 -0.389633467 +13375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.16349253 -0.389633467 +13377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.510530573 -0.389633467 +13378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.043880668 -0.389633467 +13379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.601730885 -0.389633467 +13376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.109678191 -0.389633467 +13380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.35702335 -0.389633467 +13381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.109069117 -0.389633467 +13382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.308139534 -0.389633467 +13383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.486800559 -0.389633467 +13384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.573170697 -0.389633467 +13385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.362436039 -0.389633467 +13387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.770323658 -0.389633467 +13388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.298329098 -0.389633467 +13386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.346320618 -0.389633467 +13389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.657999477 -0.389633467 +13392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.479895675 -0.389633467 +13391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.124094973 -0.389633467 +13393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.180558703 -0.389633467 +13390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.807554355 -0.389633467 +13394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.720120372 -0.389633467 +13396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.217478369 -0.389633467 +13397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.051710471 -0.389633467 +13395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.048296846 -0.389633467 +13398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.004989795 -0.389633467 +13400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.277050927 -0.389633467 +13401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.331924578 -0.389633467 +13399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.063630206 -0.389633467 +13402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.360712443 -0.389633467 +13403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.738576916 -0.389633467 +13405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.02646373 -0.389633467 +13404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.625395172 -0.389633467 +13409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.640089986 -0.389633467 +13410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.009176015 -0.389633467 +13407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.067580943 -0.389633467 +13406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.156551031 -0.389633467 +13411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.699259523 -0.389633467 +13412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.499312265 -0.389633467 +13413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.095461129 -0.389633467 +13408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.338802809 -0.389633467 +13415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.240854463 -0.389633467 +13416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.522027504 -0.389633467 +13418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.032211446 -0.389633467 +13417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.638732611 -0.389633467 +13419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.472437879 -0.389633467 +13414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.53890044 -0.389633467 +13420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.083216111 -0.389633467 +13421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.427285912 -0.389633467 +13422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.447106372 -0.389633467 +13423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.266410808 -0.389633467 +13426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.242921087 -0.389633467 +13424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.264815686 -0.389633467 +13427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.068114298 -0.389633467 +13425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.455664893 -0.389633467 +13428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.007218456 -0.389633467 +13431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.308114688 -0.389633467 +13430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.211908154 -0.389633467 +13433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.150346217 -0.389633467 +13432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.279893882 -0.389633467 +13435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.004191317 -0.389633467 +13429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.799387372 -0.389633467 +13436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.398023278 -0.389633467 +13434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.401923242 -0.389633467 +13438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.300075857 -0.389633467 +13437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.051834814 -0.389633467 +13440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.69736556 -0.389633467 +13441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.481232682 -0.389633467 +13442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.46722362 -0.389633467 +13443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.422977536 -0.389633467 +13439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.513460483 -0.389633467 +13444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.391397972 -0.389633467 +13445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.475734295 -0.389633467 +13446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.299786724 -0.389633467 +13447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.184433653 -0.389633467 +13448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.709581716 -0.389633467 +13449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.198545287 -0.389633467 +13450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.524292171 -0.389633467 +13451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.701410216 -0.389633467 +13452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.768460426 -0.389633467 +13453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.370496246 -0.389633467 +13454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.090451114 -0.389633467 +13455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.232059086 -0.389633467 +13456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.293617517 -0.389633467 +13458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.457832837 -0.389633467 +13459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.433567608 -0.389633467 +13460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.70944221 -0.389633467 +13461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.383236791 -0.389633467 +13457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.152328419 -0.389633467 +13463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.689119161 -0.389633467 +13462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.127148765 -0.389633467 +13464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.382260211 -0.389633467 +13465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.498262502 -0.389633467 +13467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.376020096 -0.389633467 +13466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.140917465 -0.389633467 +13468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.068964907 -0.389633467 +13471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.265028574 -0.389633467 +13470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.557878434 -0.389633467 +13469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.018574683 -0.389633467 +13472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.515160262 -0.389633467 +13473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.59923054 -0.389633467 +13475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.301770638 -0.389633467 +13476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.250471523 -0.389633467 +13474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.170121223 -0.389633467 +13477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.116404434 -0.389633467 +13478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.740183128 -0.389633467 +13480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.31564697 -0.389633467 +13483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.195101811 -0.389633467 +13484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.247299792 -0.389633467 +13479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.735853594 -0.389633467 +13482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.398029513 -0.389633467 +13485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.261320807 -0.389633467 +13486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.306408853 -0.389633467 +13481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.254825036 -0.389633467 +13487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.439772822 -0.389633467 +13489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.29735821 -0.389633467 +13488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.762540119 -0.389633467 +13492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.526453345 -0.389633467 +13493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.605354831 -0.389633467 +13491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.054651558 -0.389633467 +13490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.593984392 -0.389633467 +13494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.672886793 -0.389633467 +13495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.157261715 -0.389633467 +13497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.522386799 -0.389633467 +13498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.242363909 -0.389633467 +13499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.629197175 -0.389633467 +13500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.744622053 -0.389633467 +13496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.102616807 -0.389633467 +13502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.351640766 -0.389633467 +13503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.300684517 -0.389633467 +13501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.559637612 -0.389633467 +13504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.587942961 -0.389633467 +13505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.197362765 -0.389633467 +13506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.024431723 -0.389633467 +13507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.308085361 -0.389633467 +13510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.585818066 -0.389633467 +13508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.317526112 -0.389633467 +13509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.201551414 -0.389633467 +13512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.416853593 -0.389633467 +13511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.700705042 -0.389633467 +13514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.671338653 -0.389633467 +13515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -2.63E-04 -0.389633467 +13513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.413602302 -0.389633467 +13516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.487007646 -0.389633467 +13518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.358927601 -0.389633467 +13517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.381280062 -0.389633467 +13519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.408887606 -0.389633467 +13521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.172210238 -0.389633467 +13520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.702814935 -0.389633467 +13523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.701010301 -0.389633467 +13522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.602080683 -0.389633467 +13524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.747256641 -0.389633467 +13525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.557742237 -0.389633467 +13526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.492385894 -0.389633467 +13527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.726607411 -0.389633467 +13528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.834259569 -0.389633467 +13530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.199112813 -0.389633467 +13532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.365808565 -0.389633467 +13531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.542839945 -0.389633467 +13529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.011074458 -0.389633467 +13533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.478248212 -0.389633467 +13534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.350229572 -0.389633467 +13536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.72569064 -0.389633467 +13535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.601725848 -0.389633467 +13537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.688430422 -0.389633467 +13538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.672670107 -0.389633467 +13539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.661397858 -0.389633467 +13541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.042861307 -0.389633467 +13540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.036887563 -0.389633467 +13542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.708423711 -0.389633467 +13543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.357914198 -0.389633467 +13545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.359881882 -0.389633467 +13546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.311572382 -0.389633467 +13544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.728143229 -0.389633467 +13547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.60182136 -0.389633467 +13548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.320944964 -0.389633467 +13549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.008284069 -0.389633467 +13550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.130906716 -0.389633467 +13551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.163729533 -0.389633467 +13552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.55783989 -0.389633467 +13553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.464380087 -0.389633467 +13554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.666896593 -0.389633467 +13555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.504222007 -0.389633467 +13556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.832800056 -0.389633467 +13558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.559831249 -0.389633467 +13559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.114967057 -0.389633467 +13560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.581348353 -0.389633467 +13561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.193416218 -0.389633467 +13562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.317159834 -0.389633467 +13563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.619777501 -0.389633467 +13557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.16104133 -0.389633467 +13564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.0210894 -0.389633467 +13565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.029945024 -0.389633467 +13566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.26881183 -0.389633467 +13567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.727016194 -0.389633467 +13569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.389657839 -0.389633467 +13568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.518043701 -0.389633467 +13570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.459092916 -0.389633467 +13571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.30299466 -0.389633467 +13572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.815558872 -0.389633467 +13573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.21469252 -0.389633467 +13574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.244947823 -0.389633467 +13575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.290779861 -0.389633467 +13576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.115093713 -0.389633467 +13577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.444650842 -0.389633467 +13578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.421960239 -0.389633467 +13580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.057210324 -0.389633467 +13581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.054999949 -0.389633467 +13582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.873312942 -0.389633467 +13583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.732585768 -0.389633467 +13585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.505824801 -0.389633467 +13584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.503546213 -0.389633467 +13586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.038454445 -0.389633467 +13579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.790521726 -0.389633467 +13587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.684930601 -0.389633467 +13588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.453634066 -0.389633467 +13589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.054162228 -0.389633467 +13591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.390807309 -0.389633467 +13592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.267229968 -0.389633467 +13590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.413113372 -0.389633467 +13593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.195747725 -0.389633467 +13594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.695882104 -0.389633467 +13595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.729975831 -0.389633467 +13596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.081558237 -0.389633467 +13597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.780543953 -0.389633467 +13600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.495350214 -0.389633467 +13599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.318564209 -0.389633467 +13598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.166217723 -0.389633467 +13601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.233495141 -0.389633467 +13602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.621060081 -0.389633467 +13603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.103259409 -0.389633467 +13604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.578532739 -0.389633467 +13605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.74507263 -0.389633467 +13607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.521509886 -0.389633467 +13608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.611178528 -0.389633467 +13606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.300060252 -0.389633467 +13609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.516742044 -0.389633467 +13610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.676265377 -0.389633467 +13612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.580831991 -0.389633467 +13611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.108016021 -0.389633467 +13613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.513078139 -0.389633467 +13614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.469621987 -0.389633467 +13615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.243674281 -0.389633467 +13616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.349766875 -0.389633467 +13617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.411740554 -0.389633467 +13618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.087869229 -0.389633467 +13619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.221976199 -0.389633467 +13621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.022186586 -0.389633467 +13620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.687300117 -0.389633467 +13623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.553289848 -0.389633467 +13622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.604520873 -0.389633467 +13624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.124480703 -0.389633467 +13625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.298213063 -0.389633467 +13627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.336535236 -0.389633467 +13629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.645975734 -0.389633467 +13626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.008962489 -0.389633467 +13628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.790985526 -0.389633467 +13630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.673541726 -0.389633467 +13631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.107625005 -0.389633467 +13633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.699376524 -0.389633467 +13632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.237073656 -0.389633467 +13635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.076124789 -0.389633467 +13634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.029170461 -0.389633467 +13637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.483211888 -0.389633467 +13636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.599311541 -0.389633467 +13639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.256757791 -0.389633467 +13638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.515721482 -0.389633467 +13641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.697114052 -0.389633467 +13642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.599207866 -0.389633467 +13643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.680481622 -0.389633467 +13640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.02286851 -0.389633467 +13646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.420399453 -0.389633467 +13647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.539454579 -0.389633467 +13645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.009885306 -0.389633467 +13648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.471852534 -0.389633467 +13644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.711108364 -0.389633467 +13649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.683265333 -0.389633467 +13651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.263237083 -0.389633467 +13650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.307356386 -0.389633467 +13653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.664775631 -0.389633467 +13652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.111178718 -0.389633467 +13654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.644330301 -0.389633467 +13655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.768734799 -0.389633467 +13656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.236597167 -0.389633467 +13657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.480862899 -0.389633467 +13659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.115699636 -0.389633467 +13658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.198677086 -0.389633467 +13660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.365433616 -0.389633467 +13661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.283508576 -0.389633467 +13663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.340146191 -0.389633467 +13662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.237075762 -0.389633467 +13664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.130742018 -0.389633467 +13665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.216664157 -0.389633467 +13666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.027627278 -0.389633467 +13668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.158574045 -0.389633467 +13669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.196882042 -0.389633467 +13670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.65655279 -0.389633467 +13667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.698309841 -0.389633467 +13671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.376315627 -0.389633467 +13672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.069932799 -0.389633467 +13673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.662101642 -0.389633467 +13674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.569800148 -0.389633467 +13675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.856592967 -0.389633467 +13676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.805540346 -0.389633467 +13677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.185768382 -0.389633467 +13678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.699740567 -0.389633467 +13681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.701973154 -0.389633467 +13682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.096791987 -0.389633467 +13680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.487865731 -0.389633467 +13679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.822672258 -0.389633467 +13683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.80485071 -0.389633467 +13684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.485678303 -0.389633467 +13685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.568698773 -0.389633467 +13686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.769159904 -0.389633467 +13687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.580859247 -0.389633467 +13690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.696393762 -0.389633467 +13688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.312397788 -0.389633467 +13692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.192968191 -0.389633467 +13689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.143426238 -0.389633467 +13693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.756637473 -0.389633467 +13694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.525102304 -0.389633467 +13691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.30931207 -0.389633467 +13695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.13914086 -0.389633467 +13697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.485157682 -0.389633467 +13696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.659340085 -0.389633467 +13699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.384034308 -0.389633467 +13700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.703269729 -0.389633467 +13702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.445564266 -0.389633467 +13701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.620155512 -0.389633467 +13703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.202272073 -0.389633467 +13698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.619628248 -0.389633467 +13704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.65122447 -0.389633467 +13705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.675794628 -0.389633467 +13706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.446735691 -0.389633467 +13708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.626350678 -0.389633467 +13707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.735184133 -0.389633467 +13709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.293194782 -0.389633467 +13711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.566675091 -0.389633467 +13712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.48024951 -0.389633467 +13710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.227288399 -0.389633467 +13713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.5174601 -0.389633467 +13716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.157234732 -0.389633467 +13715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.059587269 -0.389633467 +13717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.665847337 -0.389633467 +13714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.581809264 -0.389633467 +13719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.134861201 -0.389633467 +13720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.825785137 -0.389633467 +13718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.593021321 -0.389633467 +13721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.745595896 -0.389633467 +13722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.467575388 -0.389633467 +13723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.304339484 -0.389633467 +13725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.257894966 -0.389633467 +13724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.778825987 -0.389633467 +13726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.17255301 -0.389633467 +13728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.529202184 -0.389633467 +13727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.752838021 -0.389633467 +13729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.593957631 -0.389633467 +13730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.7084351 -0.389633467 +13733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.275014275 -0.389633467 +13734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.142405998 -0.389633467 +13735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.37248729 -0.389633467 +13732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.831328897 -0.389633467 +13736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.195832005 -0.389633467 +13731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.406660809 -0.389633467 +13737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.423489879 -0.389633467 +13738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.258196326 -0.389633467 +13741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.807117093 -0.389633467 +13740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.633218076 -0.389633467 +13743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.338517787 -0.389633467 +13742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.571797387 -0.389633467 +13739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.561147243 -0.389633467 +13745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.438476517 -0.389633467 +13744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.120234948 -0.389633467 +13746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.123861526 -0.389633467 +13748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.110815125 -0.389633467 +13747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.414445183 -0.389633467 +13749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.295239962 -0.389633467 +13750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.037125406 -0.389633467 +13751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.604637262 -0.389633467 +13752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.235908001 -0.389633467 +13755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.216601534 -0.389633467 +13757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.831300865 -0.389633467 +13754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.355898725 -0.389633467 +13753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.239443783 -0.389633467 +13758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.459244532 -0.389633467 +13760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.676051721 -0.389633467 +13759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.784799377 -0.389633467 +13756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.184889187 -0.389633467 +13761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.23444559 -0.389633467 +13763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.19616351 -0.389633467 +13762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.506789367 -0.389633467 +13764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.40677422 -0.389633467 +13765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.181225314 -0.389633467 +13766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.508792016 -0.389633467 +13768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.764033927 -0.389633467 +13767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.051869225 -0.389633467 +13769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.116401143 -0.389633467 +13771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.417713806 -0.389633467 +13770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.16656088 -0.389633467 +13775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.575050096 -0.389633467 +13773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.654083291 -0.389633467 +13772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.265438964 -0.389633467 +13776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.325043196 -0.389633467 +13778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.316341618 -0.389633467 +13777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.186467374 -0.389633467 +13774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.851018852 -0.389633467 +13779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.192507182 -0.389633467 +13781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.599025762 -0.389633467 +13782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.760970136 -0.389633467 +13780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.454491506 -0.389633467 +13785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.640246941 -0.389633467 +13784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.428492168 -0.389633467 +13786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.779247017 -0.389633467 +13787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.2841053 -0.389633467 +13783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.565497669 -0.389633467 +13788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.026214949 -0.389633467 +13789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.142031891 -0.389633467 +13790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.267752335 -0.389633467 +13791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.488165007 -0.389633467 +13792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.598771242 -0.389633467 +13795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.782809981 -0.389633467 +13796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.534854336 -0.389633467 +13794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.513266935 -0.389633467 +13793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.801142178 -0.389633467 +13797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.61240915 -0.389633467 +13799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.681996883 -0.389633467 +13800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.535366533 -0.389633467 +13798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.633646684 -0.389633467 +13801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.028199576 -0.389633467 +13802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.076043184 -0.389633467 +13803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.380778243 -0.389633467 +13806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.371471653 -0.389633467 +13804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.11215611 -0.389633467 +13805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.354893966 -0.389633467 +13807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.552722013 -0.389633467 +13808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.607175452 -0.389633467 +13810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.438315116 -0.389633467 +13809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.351980129 -0.389633467 +13811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.544970206 -0.389633467 +13812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.687554862 -0.389633467 +13814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.134005812 -0.389633467 +13815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.579155264 -0.389633467 +13813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.584129527 -0.389633467 +13817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.493633666 -0.389633467 +13819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.121984902 -0.389633467 +13820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.376337372 -0.389633467 +13818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.070313842 -0.389633467 +13816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.385570081 -0.389633467 +13821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.141192709 -0.389633467 +13823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.75982221 -0.389633467 +13822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.561611682 -0.389633467 +13824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.285763257 -0.389633467 +13825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.335866975 -0.389633467 +13827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.355636895 -0.389633467 +13826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.839342925 -0.389633467 +13828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.011899906 -0.389633467 +13829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.784313325 -0.389633467 +13830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.450637714 -0.389633467 +13831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.283269729 -0.389633467 +13832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.016281724 -0.389633467 +13834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.385496969 -0.389633467 +13835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.001980885 -0.389633467 +13833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.462700296 -0.389633467 +13836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.013992935 -0.389633467 +13837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.005978876 -0.389633467 +13840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.490289135 -0.389633467 +13841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.56459627 -0.389633467 +13839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.065281929 -0.389633467 +13842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.754388782 -0.389633467 +13838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.400532294 -0.389633467 +13844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.08044287 -0.389633467 +13843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.325274975 -0.389633467 +13845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.322215 -0.389633467 +13846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.49605157 -0.389633467 +13849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.259773534 -0.389633467 +13848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.376934195 -0.389633467 +13850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.006849526 -0.389633467 +13851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.796336069 -0.389633467 +13847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.754245664 -0.389633467 +13852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.372397546 -0.389633467 +13854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.315723373 -0.389633467 +13855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.404015764 -0.389633467 +13856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.351463092 -0.389633467 +13857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.124250778 -0.389633467 +13853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.560691472 -0.389633467 +13858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.401177962 -0.389633467 +13859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.30326775 -0.389633467 +13860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.810120444 -0.389633467 +13861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.573539242 -0.389633467 +13862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.824318433 -0.389633467 +13863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.058430822 -0.389633467 +13864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.515734938 -0.389633467 +13866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.039151531 -0.389633467 +13865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.641880487 -0.389633467 +13868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.552712875 -0.389633467 +13867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.565078589 -0.389633467 +13870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.715846997 -0.389633467 +13869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.557288743 -0.389633467 +13871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.158881647 -0.389633467 +13872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.414787904 -0.389633467 +13873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.680874327 -0.389633467 +13875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.051075439 -0.389633467 +13876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.192929241 -0.389633467 +13874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.299964402 -0.389633467 +13877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.235580961 -0.389633467 +13878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.441000029 -0.389633467 +13879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.802440895 -0.389633467 +13881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.533546062 -0.389633467 +13880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.010814334 -0.389633467 +13882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.733646421 -0.389633467 +13883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.43937126 -0.389633467 +13885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.224840417 -0.389633467 +13884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.541029384 -0.389633467 +13886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.117078613 -0.389633467 +13887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.349544616 -0.389633467 +13888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.613764943 -0.389633467 +13889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.131212562 -0.389633467 +13890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.041328247 -0.389633467 +13892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.098742737 -0.389633467 +13894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.221022927 -0.389633467 +13895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.278539793 -0.389633467 +13891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.308234772 -0.389633467 +13897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.787064167 -0.389633467 +13896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.457423864 -0.389633467 +13893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.357037438 -0.389633467 +13898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.114321274 -0.389633467 +13899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.68962658 -0.389633467 +13900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.275935504 -0.389633467 +13902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.372768065 -0.389633467 +13904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.665373313 -0.389633467 +13903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.462324059 -0.389633467 +13906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.760210133 -0.389633467 +13901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.647906095 -0.389633467 +13905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.07248911 -0.389633467 +13907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.464336577 -0.389633467 +13908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.013631299 -0.389633467 +13910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.191823664 -0.389633467 +13911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.360722945 -0.389633467 +13913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.258446836 -0.389633467 +13909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.244034479 -0.389633467 +13912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.365914428 -0.389633467 +13916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.766286491 -0.389633467 +13915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.496415539 -0.389633467 +13917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.27716739 -0.389633467 +13914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.505800509 -0.389633467 +13918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.400482954 -0.389633467 +13921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.206096416 -0.389633467 +13920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.289146432 -0.389633467 +13919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.072598804 -0.389633467 +13922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.142488616 -0.389633467 +13923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.504790841 -0.389633467 +13924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.106417721 -0.389633467 +13926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.095096957 -0.389633467 +13925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.802156907 -0.389633467 +13928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.534960455 -0.389633467 +13929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.865431226 -0.389633467 +13927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.008422372 -0.389633467 +13931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.650203255 -0.389633467 +13930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.148057268 -0.389633467 +13932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.483524693 -0.389633467 +13933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.173577154 -0.389633467 +13937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.171269911 -0.389633467 +13934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.036934137 -0.389633467 +13936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.685986567 -0.389633467 +13935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.830549686 -0.389633467 +13938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.308909179 -0.389633467 +13939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.403199855 -0.389633467 +13940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.49132489 -0.389633467 +13942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.820806083 -0.389633467 +13944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.16922575 -0.389633467 +13945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.037368891 -0.389633467 +13943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.614241334 -0.389633467 +13941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.213272078 -0.389633467 +13946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.275846093 -0.389633467 +13948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.414926498 -0.389633467 +13947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.273153056 -0.389633467 +13949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.138669531 -0.389633467 +13950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.086774326 -0.389633467 +13951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.107139083 -0.389633467 +13953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.35522591 -0.389633467 +13954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.059476717 -0.389633467 +13952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.043198327 -0.389633467 +13955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.270782277 -0.389633467 +13956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.437232493 -0.389633467 +13957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.428194175 -0.389633467 +13959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.461527974 -0.389633467 +13958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.325644419 -0.389633467 +13961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.666743024 -0.389633467 +13963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.122108096 -0.389633467 +13964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.520698056 -0.389633467 +13960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.193925447 -0.389633467 +13965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.728992378 -0.389633467 +13962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.616534305 -0.389633467 +13966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.231800548 -0.389633467 +13968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.122695283 -0.389633467 +13967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.212316316 -0.389633467 +13971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.506050497 -0.389633467 +13969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.05664044 -0.389633467 +13970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.168612884 -0.389633467 +13972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.450611198 -0.389633467 +13973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.682283304 -0.389633467 +13974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.363702883 -0.389633467 +13976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.303416369 -0.389633467 +13978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.008674817 -0.389633467 +13977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.035943175 -0.389633467 +13975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.036907281 -0.389633467 +13979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.16027144 -0.389633467 +13980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.224556245 -0.389633467 +13982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.188377702 -0.389633467 +13984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 0.092512465 -0.389633467 +13983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.358509706 -0.389633467 +13985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.290622674 -0.389633467 +13986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.732228851 -0.389633467 +13981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.635138225 -0.389633467 +13987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.515979632 -0.389633467 +13988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.72609058 -0.389633467 +13989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.050307815 -0.389633467 +13990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.81251718 -0.389633467 +13991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.142914995 -0.389633467 +13992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.204046536 -0.389633467 +13993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.85118479 -0.389633467 +13995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.303963806 -0.389633467 +13996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.64322728 -0.389633467 +13994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.190235371 -0.389633467 +13997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.573959062 -0.389633467 +13998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.336446467 -0.389633467 +14000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.309523299 -0.389633467 +13999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.35 10 1 -0.032684635 -0.389633467 +14002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.35275608 -0.364783353 +14001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.19459103 -0.364783353 +14004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.377969115 -0.364783353 +14003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.715469613 -0.364783353 +14007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.665435399 -0.364783353 +14005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.489118906 -0.364783353 +14006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.422236536 -0.364783353 +14008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.723009893 -0.364783353 +14009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.27783582 -0.364783353 +14010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.312381532 -0.364783353 +14012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.544551572 -0.364783353 +14011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.432018293 -0.364783353 +14013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.178050229 -0.364783353 +14014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.543150427 -0.364783353 +14015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.416031342 -0.364783353 +14017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.22454936 -0.364783353 +14016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.438738557 -0.364783353 +14018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.260854201 -0.364783353 +14019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.005924234 -0.364783353 +14020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.069356056 -0.364783353 +14022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.598709473 -0.364783353 +14021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.068203931 -0.364783353 +14025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.763232106 -0.364783353 +14023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.043220539 -0.364783353 +14026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.293867337 -0.364783353 +14024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.782583542 -0.364783353 +14027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.475595444 -0.364783353 +14030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.722358874 -0.364783353 +14031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.022447383 -0.364783353 +14032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.273907887 -0.364783353 +14029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.37728227 -0.364783353 +14033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.768375418 -0.364783353 +14035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.590817655 -0.364783353 +14034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.80914614 -0.364783353 +14028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.090513545 -0.364783353 +14036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.310663013 -0.364783353 +14038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.103029965 -0.364783353 +14037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.924747023 -0.364783353 +14039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.283038219 -0.364783353 +14041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.045373564 -0.364783353 +14043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.37363234 -0.364783353 +14040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.142937652 -0.364783353 +14042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.280589807 -0.364783353 +14044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.733587828 -0.364783353 +14046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.21758968 -0.364783353 +14045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.056817783 -0.364783353 +14047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.105377035 -0.364783353 +14048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.09499749 -0.364783353 +14050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.282073399 -0.364783353 +14051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.265952912 -0.364783353 +14052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.46724918 -0.364783353 +14054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.566996832 -0.364783353 +14053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.167557789 -0.364783353 +14056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.010801729 -0.364783353 +14049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.35518861 -0.364783353 +14055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.49075363 -0.364783353 +14057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.721868967 -0.364783353 +14059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.456865044 -0.364783353 +14058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.309855357 -0.364783353 +14061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.34019317 -0.364783353 +14060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.543651618 -0.364783353 +14062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.019441123 -0.364783353 +14064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.589490303 -0.364783353 +14063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.281807853 -0.364783353 +14065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.040791909 -0.364783353 +14067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.681547728 -0.364783353 +14068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.436282899 -0.364783353 +14069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.600039538 -0.364783353 +14070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.68354537 -0.364783353 +14066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.438320109 -0.364783353 +14071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -7.02E-04 -0.364783353 +14073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.058748075 -0.364783353 +14072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.115298696 -0.364783353 +14074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.026562931 -0.364783353 +14075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.662729309 -0.364783353 +14076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.097210965 -0.364783353 +14077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.539095169 -0.364783353 +14078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.337197722 -0.364783353 +14079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.342783051 -0.364783353 +14080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.567180113 -0.364783353 +14082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.006872852 -0.364783353 +14083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.111921631 -0.364783353 +14084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.64667215 -0.364783353 +14085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.001976519 -0.364783353 +14086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.656145837 -0.364783353 +14087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.040610899 -0.364783353 +14081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.010122692 -0.364783353 +14088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.049993631 -0.364783353 +14089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.34636 -0.364783353 +14090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.352534617 -0.364783353 +14091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.087794425 -0.364783353 +14093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.364611106 -0.364783353 +14092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.401450996 -0.364783353 +14094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.483465093 -0.364783353 +14095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.724707761 -0.364783353 +14096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.051542609 -0.364783353 +14097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.517848119 -0.364783353 +14098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.808166724 -0.364783353 +14099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.152308257 -0.364783353 +14100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.280698681 -0.364783353 +14102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.480991961 -0.364783353 +14101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.679848496 -0.364783353 +14103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.195000154 -0.364783353 +14105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.620990259 -0.364783353 +14104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.704227154 -0.364783353 +14106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.246434488 -0.364783353 +14107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.148286335 -0.364783353 +14108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.391728723 -0.364783353 +14109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.63118577 -0.364783353 +14110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.835621239 -0.364783353 +14111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.151251781 -0.364783353 +14112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.656011888 -0.364783353 +14113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.578495339 -0.364783353 +14114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.341733311 -0.364783353 +14116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.152540589 -0.364783353 +14115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.51456484 -0.364783353 +14118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.385074905 -0.364783353 +14117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.097026226 -0.364783353 +14120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.460004496 -0.364783353 +14119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.082931868 -0.364783353 +14122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.087943167 -0.364783353 +14124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.058079396 -0.364783353 +14121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.520981095 -0.364783353 +14123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.060502563 -0.364783353 +14125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.761165341 -0.364783353 +14126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.558886498 -0.364783353 +14127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.719311013 -0.364783353 +14131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.473746269 -0.364783353 +14128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.752480447 -0.364783353 +14129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.460327513 -0.364783353 +14132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.037665143 -0.364783353 +14130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.156332112 -0.364783353 +14133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.370788699 -0.364783353 +14134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.095014301 -0.364783353 +14135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.132929476 -0.364783353 +14136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.512343993 -0.364783353 +14138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.113547365 -0.364783353 +14137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.792318437 -0.364783353 +14139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.540967098 -0.364783353 +14140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.435918521 -0.364783353 +14141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.068569549 -0.364783353 +14142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.577279735 -0.364783353 +14143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.050489965 -0.364783353 +14145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.63793295 -0.364783353 +14144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.646269291 -0.364783353 +14147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.836881519 -0.364783353 +14146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.183761618 -0.364783353 +14148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.680071571 -0.364783353 +14149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.110065968 -0.364783353 +14150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.03078558 -0.364783353 +14151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.768593729 -0.364783353 +14152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.043833957 -0.364783353 +14153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.211623019 -0.364783353 +14154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.031380792 -0.364783353 +14156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.646138532 -0.364783353 +14155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.036577846 -0.364783353 +14157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.039471496 -0.364783353 +14159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.80806363 -0.364783353 +14158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.519814977 -0.364783353 +14160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.544435512 -0.364783353 +14161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.602459452 -0.364783353 +14162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.31060019 -0.364783353 +14163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.09838579 -0.364783353 +14164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.298647921 -0.364783353 +14165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.632060362 -0.364783353 +14166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.403220535 -0.364783353 +14167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.198076914 -0.364783353 +14169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.24536527 -0.364783353 +14168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.367504883 -0.364783353 +14171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.45766586 -0.364783353 +14170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.312166671 -0.364783353 +14172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.240847556 -0.364783353 +14173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.257585097 -0.364783353 +14174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.259303739 -0.364783353 +14175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.630635131 -0.364783353 +14176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.014679425 -0.364783353 +14177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.180780642 -0.364783353 +14179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.588863795 -0.364783353 +14178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.30394428 -0.364783353 +14181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.384766236 -0.364783353 +14180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.562627972 -0.364783353 +14182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.106143295 -0.364783353 +14184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.073802092 -0.364783353 +14183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.046193317 -0.364783353 +14185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.755451414 -0.364783353 +14187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.285961321 -0.364783353 +14186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.785709233 -0.364783353 +14188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.034050786 -0.364783353 +14190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.175623526 -0.364783353 +14189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.334244772 -0.364783353 +14191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.264639267 -0.364783353 +14192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.810521807 -0.364783353 +14193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.303977397 -0.364783353 +14194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.298978848 -0.364783353 +14195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.064143422 -0.364783353 +14196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.683207145 -0.364783353 +14197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.721528609 -0.364783353 +14200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.065919826 -0.364783353 +14199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.720095648 -0.364783353 +14201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.341927768 -0.364783353 +14202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.047925489 -0.364783353 +14203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.049428077 -0.364783353 +14198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.829666431 -0.364783353 +14204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.575363399 -0.364783353 +14205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.002029996 -0.364783353 +14206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.831249045 -0.364783353 +14207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.009074644 -0.364783353 +14208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.591797964 -0.364783353 +14209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.039580845 -0.364783353 +14210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.519938039 -0.364783353 +14211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.572599888 -0.364783353 +14212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.363579198 -0.364783353 +14213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.242930736 -0.364783353 +14215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.221086573 -0.364783353 +14214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.391675244 -0.364783353 +14216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.059720842 -0.364783353 +14217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.500974336 -0.364783353 +14218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.20122475 -0.364783353 +14220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.491961304 -0.364783353 +14221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.111219803 -0.364783353 +14222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.233867482 -0.364783353 +14223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.058634848 -0.364783353 +14219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.490365261 -0.364783353 +14224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.629465454 -0.364783353 +14225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.195622652 -0.364783353 +14226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.352816837 -0.364783353 +14227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.08764656 -0.364783353 +14228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.601317943 -0.364783353 +14229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.256375844 -0.364783353 +14230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.284271691 -0.364783353 +14231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.096331137 -0.364783353 +14232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.535827582 -0.364783353 +14233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.611296652 -0.364783353 +14234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.440051572 -0.364783353 +14235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.049137638 -0.364783353 +14236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.470584882 -0.364783353 +14237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.247276714 -0.364783353 +14238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.2222414 -0.364783353 +14240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.700713318 -0.364783353 +14239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.45161622 -0.364783353 +14241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.252243728 -0.364783353 +14242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.103084098 -0.364783353 +14243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.339227465 -0.364783353 +14244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.475974248 -0.364783353 +14245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.65054093 -0.364783353 +14246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.156695954 -0.364783353 +14249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.704907745 -0.364783353 +14247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.632045563 -0.364783353 +14248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.655740983 -0.364783353 +14250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.053762338 -0.364783353 +14251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.731974959 -0.364783353 +14252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.075717989 -0.364783353 +14253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.657647268 -0.364783353 +14254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.059816208 -0.364783353 +14255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.024997602 -0.364783353 +14256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.490303579 -0.364783353 +14258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.251480473 -0.364783353 +14257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.046661969 -0.364783353 +14259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.293571324 -0.364783353 +14260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.014762394 -0.364783353 +14261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.284781074 -0.364783353 +14262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.342963689 -0.364783353 +14263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.45994135 -0.364783353 +14264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.59165979 -0.364783353 +14265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.014101435 -0.364783353 +14267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.35088892 -0.364783353 +14266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.394781916 -0.364783353 +14268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.325602651 -0.364783353 +14269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.254559218 -0.364783353 +14270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.568803645 -0.364783353 +14272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.433598154 -0.364783353 +14271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.128426121 -0.364783353 +14273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.362739022 -0.364783353 +14274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.325605729 -0.364783353 +14275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.23137542 -0.364783353 +14276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.095880034 -0.364783353 +14277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.870766454 -0.364783353 +14278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.717571416 -0.364783353 +14279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.312413935 -0.364783353 +14280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.730868734 -0.364783353 +14281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.100359997 -0.364783353 +14282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.467336735 -0.364783353 +14284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.180754493 -0.364783353 +14285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.273666099 -0.364783353 +14286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.10012011 -0.364783353 +14283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.378912188 -0.364783353 +14287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.746069967 -0.364783353 +14288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.450714177 -0.364783353 +14289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.272942511 -0.364783353 +14290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.538323391 -0.364783353 +14291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.549412943 -0.364783353 +14293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.714181918 -0.364783353 +14292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.079111635 -0.364783353 +14294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.167850033 -0.364783353 +14295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.414592398 -0.364783353 +14296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.706289278 -0.364783353 +14297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.118474024 -0.364783353 +14298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.802773472 -0.364783353 +14299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.083664842 -0.364783353 +14301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.676531364 -0.364783353 +14300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.1547965 -0.364783353 +14304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.626589314 -0.364783353 +14303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.523261383 -0.364783353 +14305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.584587858 -0.364783353 +14302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.467973242 -0.364783353 +14306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.667059074 -0.364783353 +14307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.342130472 -0.364783353 +14308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.288581893 -0.364783353 +14309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.575446677 -0.364783353 +14310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.174013195 -0.364783353 +14311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.385524137 -0.364783353 +14312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.487354017 -0.364783353 +14313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.063511767 -0.364783353 +14314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.025768968 -0.364783353 +14315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.377239713 -0.364783353 +14317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.531294029 -0.364783353 +14316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.535821111 -0.364783353 +14318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.256796338 -0.364783353 +14319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.147701214 -0.364783353 +14320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.645024229 -0.364783353 +14322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.50689887 -0.364783353 +14323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.590037212 -0.364783353 +14321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.535487072 -0.364783353 +14324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.861073718 -0.364783353 +14325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.198788412 -0.364783353 +14326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.784064459 -0.364783353 +14327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.692421762 -0.364783353 +14328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.164897484 -0.364783353 +14329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.570437917 -0.364783353 +14330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.717232575 -0.364783353 +14331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.096397832 -0.364783353 +14333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.373669828 -0.364783353 +14332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.580534883 -0.364783353 +14334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.276552904 -0.364783353 +14335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.223454995 -0.364783353 +14336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.453710345 -0.364783353 +14338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.779742571 -0.364783353 +14337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.462415297 -0.364783353 +14339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.061372835 -0.364783353 +14340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.628391784 -0.364783353 +14341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.719701721 -0.364783353 +14342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.192416458 -0.364783353 +14343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.453265628 -0.364783353 +14344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.772719806 -0.364783353 +14345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.024707456 -0.364783353 +14346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.452167084 -0.364783353 +14349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.145739328 -0.364783353 +14348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.22610961 -0.364783353 +14347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.587333036 -0.364783353 +14351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.548483121 -0.364783353 +14350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.149947351 -0.364783353 +14352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.85333762 -0.364783353 +14353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.275847015 -0.364783353 +14354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.563585575 -0.364783353 +14355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.557830975 -0.364783353 +14356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.15961649 -0.364783353 +14357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.243656334 -0.364783353 +14359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.141325082 -0.364783353 +14358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.229306265 -0.364783353 +14360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.086437853 -0.364783353 +14361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.472905256 -0.364783353 +14362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.760125611 -0.364783353 +14363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.724159431 -0.364783353 +14364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.72808541 -0.364783353 +14366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.651332185 -0.364783353 +14367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.655219621 -0.364783353 +14369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.38686874 -0.364783353 +14368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.01218999 -0.364783353 +14365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.504561919 -0.364783353 +14370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.583832671 -0.364783353 +14372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.507739088 -0.364783353 +14371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.243992771 -0.364783353 +14373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.042118196 -0.364783353 +14374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.336098458 -0.364783353 +14376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.361399029 -0.364783353 +14375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.615908686 -0.364783353 +14377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.208551053 -0.364783353 +14378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.56249385 -0.364783353 +14380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.572085263 -0.364783353 +14381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.397620717 -0.364783353 +14379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.317322359 -0.364783353 +14384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.121312055 -0.364783353 +14382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.730225916 -0.364783353 +14383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.569457617 -0.364783353 +14385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.387687414 -0.364783353 +14386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.052630561 -0.364783353 +14389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.099318189 -0.364783353 +14388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.519784326 -0.364783353 +14391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.505246854 -0.364783353 +14390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.414336702 -0.364783353 +14392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.179637097 -0.364783353 +14387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.105597253 -0.364783353 +14393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.41925406 -0.364783353 +14394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.75011711 -0.364783353 +14396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.17775505 -0.364783353 +14395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.559186753 -0.364783353 +14397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.239242922 -0.364783353 +14399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.112014521 -0.364783353 +14400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.372515959 -0.364783353 +14398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.210541016 -0.364783353 +14402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.493278113 -0.364783353 +14401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.141274059 -0.364783353 +14403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.201794937 -0.364783353 +14404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.128464116 -0.364783353 +14406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.075644483 -0.364783353 +14405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.350791071 -0.364783353 +14408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.743712658 -0.364783353 +14407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.460128456 -0.364783353 +14409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.002311227 -0.364783353 +14410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.025998381 -0.364783353 +14411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.502550788 -0.364783353 +14412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.55990172 -0.364783353 +14413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.025243211 -0.364783353 +14414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.733971577 -0.364783353 +14415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.223421294 -0.364783353 +14416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.134426551 -0.364783353 +14417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.580717364 -0.364783353 +14419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.397384347 -0.364783353 +14418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.586941879 -0.364783353 +14420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.395647342 -0.364783353 +14422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.540731522 -0.364783353 +14421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.571925908 -0.364783353 +14423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.239404509 -0.364783353 +14424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.012217276 -0.364783353 +14425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.068388603 -0.364783353 +14426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.729954326 -0.364783353 +14430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.169003605 -0.364783353 +14428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.342638633 -0.364783353 +14429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.891445311 -0.364783353 +14427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.439808999 -0.364783353 +14431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.223760118 -0.364783353 +14433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.154911807 -0.364783353 +14434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.376399498 -0.364783353 +14435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.679671389 -0.364783353 +14432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.384397691 -0.364783353 +14437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.487099441 -0.364783353 +14436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.689074862 -0.364783353 +14438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.647021574 -0.364783353 +14440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.104846986 -0.364783353 +14439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.088647568 -0.364783353 +14441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.054480552 -0.364783353 +14442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.039150768 -0.364783353 +14443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.282425287 -0.364783353 +14445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.099683607 -0.364783353 +14444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.606753304 -0.364783353 +14446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.481691699 -0.364783353 +14447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.248407849 -0.364783353 +14448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.00785586 -0.364783353 +14449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.128961223 -0.364783353 +14450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.489514523 -0.364783353 +14451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.66280272 -0.364783353 +14453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.517124083 -0.364783353 +14452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.034619412 -0.364783353 +14454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.016006056 -0.364783353 +14456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.479083684 -0.364783353 +14455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.066873185 -0.364783353 +14457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.446243163 -0.364783353 +14461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.550925204 -0.364783353 +14459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.378804289 -0.364783353 +14458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.636461715 -0.364783353 +14460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.403801074 -0.364783353 +14462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.720388046 -0.364783353 +14464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.505954986 -0.364783353 +14465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.423096408 -0.364783353 +14467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.303031809 -0.364783353 +14466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.735121825 -0.364783353 +14463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.525849078 -0.364783353 +14468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.805796434 -0.364783353 +14469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.558623061 -0.364783353 +14471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.07530962 -0.364783353 +14472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.269504078 -0.364783353 +14474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.460599276 -0.364783353 +14475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.554629968 -0.364783353 +14473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.574691601 -0.364783353 +14477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.636392653 -0.364783353 +14476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.451827402 -0.364783353 +14470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.752268032 -0.364783353 +14478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.093778766 -0.364783353 +14479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.486356856 -0.364783353 +14480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.847629149 -0.364783353 +14482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.484670934 -0.364783353 +14481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.027156906 -0.364783353 +14483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.221017566 -0.364783353 +14484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.573579547 -0.364783353 +14485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.435541204 -0.364783353 +14487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.256680747 -0.364783353 +14486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.695735434 -0.364783353 +14488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.033262736 -0.364783353 +14490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.267686971 -0.364783353 +14491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.433131913 -0.364783353 +14489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.083123699 -0.364783353 +14492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.376989239 -0.364783353 +14494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.018447931 -0.364783353 +14495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.397254085 -0.364783353 +14496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.363020684 -0.364783353 +14493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.351676743 -0.364783353 +14497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.723909977 -0.364783353 +14498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.050995596 -0.364783353 +14499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.090833018 -0.364783353 +14500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.393372283 -0.364783353 +14501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.002429641 -0.364783353 +14502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.378807831 -0.364783353 +14503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.284592108 -0.364783353 +14504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.620628016 -0.364783353 +14505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.624620198 -0.364783353 +14506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.238273423 -0.364783353 +14507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.679962145 -0.364783353 +14508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.229710014 -0.364783353 +14509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.452624208 -0.364783353 +14510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.130671975 -0.364783353 +14511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.637337644 -0.364783353 +14514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.420951211 -0.364783353 +14512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.491020711 -0.364783353 +14515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.175297162 -0.364783353 +14516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.519467641 -0.364783353 +14513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.373561652 -0.364783353 +14517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.610371957 -0.364783353 +14518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.043280666 -0.364783353 +14520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.796690221 -0.364783353 +14521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.441607779 -0.364783353 +14519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.262661741 -0.364783353 +14522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.112223952 -0.364783353 +14523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.601812182 -0.364783353 +14524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.045187446 -0.364783353 +14525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.498940622 -0.364783353 +14526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.734632875 -0.364783353 +14528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.546592719 -0.364783353 +14527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.585205924 -0.364783353 +14529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.358205439 -0.364783353 +14531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.596750336 -0.364783353 +14530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.046757426 -0.364783353 +14533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.529143602 -0.364783353 +14532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.250257993 -0.364783353 +14534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.799421384 -0.364783353 +14535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.036891505 -0.364783353 +14536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.284663922 -0.364783353 +14537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.038060086 -0.364783353 +14538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.616294445 -0.364783353 +14539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.221216753 -0.364783353 +14540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.596220978 -0.364783353 +14541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.491870937 -0.364783353 +14542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.036268867 -0.364783353 +14543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.588442887 -0.364783353 +14544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.052222055 -0.364783353 +14545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.193940926 -0.364783353 +14547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.31202247 -0.364783353 +14546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.17755261 -0.364783353 +14548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.040525823 -0.364783353 +14549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.291245229 -0.364783353 +14550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.417521186 -0.364783353 +14551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.026810929 -0.364783353 +14552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.682832145 -0.364783353 +14553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.541270986 -0.364783353 +14554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.531272072 -0.364783353 +14555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.11113944 -0.364783353 +14556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.532029825 -0.364783353 +14558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.596414733 -0.364783353 +14559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.180920588 -0.364783353 +14557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.716488608 -0.364783353 +14560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.086593735 -0.364783353 +14562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.205277744 -0.364783353 +14563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.029143123 -0.364783353 +14564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.147672042 -0.364783353 +14561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.029602852 -0.364783353 +14565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.25022819 -0.364783353 +14566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.513767306 -0.364783353 +14567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.332150841 -0.364783353 +14568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.718747433 -0.364783353 +14569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.065406618 -0.364783353 +14571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.487267467 -0.364783353 +14572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.409567646 -0.364783353 +14570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.454880479 -0.364783353 +14573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.661854918 -0.364783353 +14574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.276362868 -0.364783353 +14576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.200715956 -0.364783353 +14577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.106154508 -0.364783353 +14575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.639355263 -0.364783353 +14579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.062770608 -0.364783353 +14578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.077899206 -0.364783353 +14580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.234995672 -0.364783353 +14581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.016675983 -0.364783353 +14582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.544424588 -0.364783353 +14583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.41615704 -0.364783353 +14584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.530320001 -0.364783353 +14585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.129497322 -0.364783353 +14587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.09095698 -0.364783353 +14588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.062651321 -0.364783353 +14590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.236288169 -0.364783353 +14589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.281366187 -0.364783353 +14586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.258256058 -0.364783353 +14591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.062116766 -0.364783353 +14592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.017809165 -0.364783353 +14594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.665252931 -0.364783353 +14593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.786983004 -0.364783353 +14595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.213178461 -0.364783353 +14597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.337238506 -0.364783353 +14596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.275733411 -0.364783353 +14598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.76689356 -0.364783353 +14599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.90794499 -0.364783353 +14600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.033194702 -0.364783353 +14601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.560680543 -0.364783353 +14603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.019672439 -0.364783353 +14604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.291138912 -0.364783353 +14605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.035196877 -0.364783353 +14606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.604207 -0.364783353 +14602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.128090038 -0.364783353 +14607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.807107774 -0.364783353 +14608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.386611084 -0.364783353 +14609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.213751814 -0.364783353 +14611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.059100442 -0.364783353 +14612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.713069624 -0.364783353 +14610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.705041905 -0.364783353 +14613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.077862965 -0.364783353 +14615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.129426161 -0.364783353 +14616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.484572837 -0.364783353 +14614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.004914339 -0.364783353 +14617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.755504388 -0.364783353 +14618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.687040531 -0.364783353 +14619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.269998028 -0.364783353 +14620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.110650533 -0.364783353 +14621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.623548498 -0.364783353 +14622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.373321592 -0.364783353 +14625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.506334735 -0.364783353 +14623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.452484246 -0.364783353 +14624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.639603083 -0.364783353 +14626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.677175644 -0.364783353 +14627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.515750319 -0.364783353 +14628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.447030463 -0.364783353 +14629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.478292589 -0.364783353 +14631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.497606299 -0.364783353 +14632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.67415306 -0.364783353 +14630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.515522663 -0.364783353 +14634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.765840232 -0.364783353 +14635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.032443629 -0.364783353 +14633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.179348071 -0.364783353 +14637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.46164762 -0.364783353 +14636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.299280433 -0.364783353 +14638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.04843427 -0.364783353 +14640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.011265506 -0.364783353 +14639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.083510595 -0.364783353 +14641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.088864037 -0.364783353 +14642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.784332113 -0.364783353 +14643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.55552548 -0.364783353 +14644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.534973122 -0.364783353 +14645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.504680011 -0.364783353 +14646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.729691872 -0.364783353 +14647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.289154842 -0.364783353 +14648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.542426453 -0.364783353 +14649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.555768053 -0.364783353 +14650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.663206504 -0.364783353 +14651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.756128353 -0.364783353 +14652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.496925276 -0.364783353 +14653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.124994876 -0.364783353 +14655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.6024253 -0.364783353 +14654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.228281831 -0.364783353 +14656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.058915542 -0.364783353 +14657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.329045377 -0.364783353 +14658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.709175162 -0.364783353 +14659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.171271898 -0.364783353 +14660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.411086041 -0.364783353 +14661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.769240477 -0.364783353 +14662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.186945597 -0.364783353 +14663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.124143865 -0.364783353 +14664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.080516344 -0.364783353 +14665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.250586489 -0.364783353 +14666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.438998921 -0.364783353 +14669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.151733769 -0.364783353 +14670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.340529974 -0.364783353 +14667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.723014555 -0.364783353 +14671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.380860131 -0.364783353 +14672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.495438001 -0.364783353 +14668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.260736013 -0.364783353 +14673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.010705741 -0.364783353 +14674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.009377821 -0.364783353 +14676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.688143083 -0.364783353 +14678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.636738238 -0.364783353 +14677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.777548117 -0.364783353 +14680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.233076119 -0.364783353 +14679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.517787819 -0.364783353 +14675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.520517897 -0.364783353 +14681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.047647118 -0.364783353 +14682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.524611994 -0.364783353 +14683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.645495193 -0.364783353 +14684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.322401363 -0.364783353 +14687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.60266495 -0.364783353 +14688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.090128517 -0.364783353 +14689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.429837523 -0.364783353 +14686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.373801799 -0.364783353 +14685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.251833626 -0.364783353 +14690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.712148503 -0.364783353 +14691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.309895277 -0.364783353 +14692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.417467575 -0.364783353 +14695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.350931985 -0.364783353 +14693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.44856966 -0.364783353 +14696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.077311073 -0.364783353 +14694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.099787397 -0.364783353 +14698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.004777193 -0.364783353 +14697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.883625628 -0.364783353 +14699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.055482395 -0.364783353 +14701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.231880212 -0.364783353 +14702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.309475686 -0.364783353 +14700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.359986931 -0.364783353 +14703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.769886494 -0.364783353 +14704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.042307353 -0.364783353 +14705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.103155498 -0.364783353 +14706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.431583122 -0.364783353 +14707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.37371828 -0.364783353 +14708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.540722183 -0.364783353 +14709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.570620677 -0.364783353 +14712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.345376382 -0.364783353 +14710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.298834876 -0.364783353 +14711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.142120627 -0.364783353 +14713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.23269658 -0.364783353 +14715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.737164063 -0.364783353 +14714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.571598073 -0.364783353 +14716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.020614386 -0.364783353 +14717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.823984209 -0.364783353 +14719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.49615378 -0.364783353 +14720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.281307985 -0.364783353 +14721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.814805853 -0.364783353 +14718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.140192068 -0.364783353 +14722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.691134086 -0.364783353 +14724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.665170241 -0.364783353 +14725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.600043854 -0.364783353 +14723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.180353944 -0.364783353 +14726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.018224574 -0.364783353 +14728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.046582703 -0.364783353 +14727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.510071889 -0.364783353 +14729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.825474353 -0.364783353 +14730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.302068451 -0.364783353 +14731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.072727205 -0.364783353 +14732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.400378177 -0.364783353 +14736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.538906028 -0.364783353 +14737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.303857551 -0.364783353 +14735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.113524852 -0.364783353 +14733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.852669506 -0.364783353 +14734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.502032284 -0.364783353 +14738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.336347025 -0.364783353 +14740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.305185933 -0.364783353 +14739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.702712066 -0.364783353 +14743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.253550382 -0.364783353 +14742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.277529819 -0.364783353 +14741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.278646413 -0.364783353 +14744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.318867504 -0.364783353 +14745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.761693237 -0.364783353 +14746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.390170732 -0.364783353 +14747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.713425699 -0.364783353 +14748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.491828738 -0.364783353 +14749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.197320738 -0.364783353 +14751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.525205729 -0.364783353 +14750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.190040072 -0.364783353 +14752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.135123219 -0.364783353 +14753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.142573946 -0.364783353 +14754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.653014589 -0.364783353 +14755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.298433048 -0.364783353 +14756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.377832014 -0.364783353 +14757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.582501523 -0.364783353 +14758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.545440669 -0.364783353 +14759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.633126506 -0.364783353 +14761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.52812648 -0.364783353 +14760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.346052488 -0.364783353 +14762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.352509 -0.364783353 +14763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.522617357 -0.364783353 +14764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.176746066 -0.364783353 +14765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.460872675 -0.364783353 +14766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.439535238 -0.364783353 +14767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.241753654 -0.364783353 +14768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.509372505 -0.364783353 +14769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.080912504 -0.364783353 +14770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.559785433 -0.364783353 +14772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.135879066 -0.364783353 +14771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.37307997 -0.364783353 +14773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.462012616 -0.364783353 +14774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.011174239 -0.364783353 +14775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.132822906 -0.364783353 +14776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.051544154 -0.364783353 +14779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.602949171 -0.364783353 +14777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.544131608 -0.364783353 +14780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.36856417 -0.364783353 +14778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.1071494 -0.364783353 +14781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.660141261 -0.364783353 +14782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.6527706 -0.364783353 +14783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.409235081 -0.364783353 +14784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.06082153 -0.364783353 +14785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.038807454 -0.364783353 +14787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.366904997 -0.364783353 +14788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.198810745 -0.364783353 +14786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.346033144 -0.364783353 +14789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.666085965 -0.364783353 +14790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.221277584 -0.364783353 +14791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.035252079 -0.364783353 +14794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.133437187 -0.364783353 +14793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.012935168 -0.364783353 +14792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.589700684 -0.364783353 +14797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.155963714 -0.364783353 +14795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.086924956 -0.364783353 +14798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.130665222 -0.364783353 +14796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.45882897 -0.364783353 +14799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.63557794 -0.364783353 +14801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.658735255 -0.364783353 +14802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.190634886 -0.364783353 +14800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.445715783 -0.364783353 +14804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.104814499 -0.364783353 +14805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.180704246 -0.364783353 +14803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.697633549 -0.364783353 +14806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.564896786 -0.364783353 +14807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.699545233 -0.364783353 +14810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.437260515 -0.364783353 +14808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.431101354 -0.364783353 +14809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.103350382 -0.364783353 +14812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.402331222 -0.364783353 +14811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.096139217 -0.364783353 +14813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.176560913 -0.364783353 +14815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.566949085 -0.364783353 +14816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.321126577 -0.364783353 +14817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.065953111 -0.364783353 +14814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.300977405 -0.364783353 +14818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.576572909 -0.364783353 +14820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.373806848 -0.364783353 +14821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.031172123 -0.364783353 +14819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.454815501 -0.364783353 +14822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.190945827 -0.364783353 +14824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.308719827 -0.364783353 +14823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.159737992 -0.364783353 +14826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.670843652 -0.364783353 +14827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.424496923 -0.364783353 +14825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.1838466 -0.364783353 +14829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.597998371 -0.364783353 +14828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.491434745 -0.364783353 +14830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.39079565 -0.364783353 +14832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.704632314 -0.364783353 +14831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.549171688 -0.364783353 +14833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.70769566 -0.364783353 +14836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.509196583 -0.364783353 +14835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.547167244 -0.364783353 +14834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.235481577 -0.364783353 +14837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.017821719 -0.364783353 +14839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.74604291 -0.364783353 +14840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.405288198 -0.364783353 +14838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.509797155 -0.364783353 +14841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.503855372 -0.364783353 +14842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.119635745 -0.364783353 +14844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.203500623 -0.364783353 +14845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.436722314 -0.364783353 +14843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.303800963 -0.364783353 +14846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.008779852 -0.364783353 +14847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.310947506 -0.364783353 +14849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.805501907 -0.364783353 +14848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.288991488 -0.364783353 +14850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.561686556 -0.364783353 +14851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.011403254 -0.364783353 +14852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.454749902 -0.364783353 +14853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.180324059 -0.364783353 +14854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.487376208 -0.364783353 +14856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.124850467 -0.364783353 +14855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.082348466 -0.364783353 +14857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.310601259 -0.364783353 +14858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.043483951 -0.364783353 +14860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.567575841 -0.364783353 +14859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.307872222 -0.364783353 +14861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.726012097 -0.364783353 +14862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.518789763 -0.364783353 +14863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.707601675 -0.364783353 +14864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.18074889 -0.364783353 +14867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.070819028 -0.364783353 +14865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.777834314 -0.364783353 +14868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.184723821 -0.364783353 +14866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.009253099 -0.364783353 +14870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.3417568 -0.364783353 +14871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.713693881 -0.364783353 +14872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.735589139 -0.364783353 +14873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.417817748 -0.364783353 +14874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.720705672 -0.364783353 +14875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.643381859 -0.364783353 +14876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.564946942 -0.364783353 +14869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.210256522 -0.364783353 +14877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.814832163 -0.364783353 +14878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.463207071 -0.364783353 +14879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.530868007 -0.364783353 +14881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.611392982 -0.364783353 +14882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.34024919 -0.364783353 +14880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.900675388 -0.364783353 +14883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.337777663 -0.364783353 +14885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.620808505 -0.364783353 +14884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.355643959 -0.364783353 +14886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.426951348 -0.364783353 +14887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.406345057 -0.364783353 +14888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.020912131 -0.364783353 +14890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.126383716 -0.364783353 +14889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.149840666 -0.364783353 +14891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.289753332 -0.364783353 +14892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.702678619 -0.364783353 +14894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.013901013 -0.364783353 +14893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.134416801 -0.364783353 +14895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.483709152 -0.364783353 +14896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.576257966 -0.364783353 +14897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.747272529 -0.364783353 +14898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.096696821 -0.364783353 +14899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.447498606 -0.364783353 +14901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.341561302 -0.364783353 +14900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.543992621 -0.364783353 +14903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.381800231 -0.364783353 +14905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.006250221 -0.364783353 +14906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.201139013 -0.364783353 +14902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.580839257 -0.364783353 +14904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.719294493 -0.364783353 +14907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.286896254 -0.364783353 +14908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.597857857 -0.364783353 +14909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.422220269 -0.364783353 +14911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.678670733 -0.364783353 +14910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.080091093 -0.364783353 +14912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.438569952 -0.364783353 +14914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.061656505 -0.364783353 +14913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.632151966 -0.364783353 +14915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.469710831 -0.364783353 +14916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.054644477 -0.364783353 +14917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.70156357 -0.364783353 +14918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.06053525 -0.364783353 +14920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.760582547 -0.364783353 +14919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.377563064 -0.364783353 +14921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.578755875 -0.364783353 +14923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.404051949 -0.364783353 +14924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.338404401 -0.364783353 +14925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.191095816 -0.364783353 +14922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.552319595 -0.364783353 +14926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.76744498 -0.364783353 +14927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.310037252 -0.364783353 +14928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.762223102 -0.364783353 +14929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.592903408 -0.364783353 +14931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.213486858 -0.364783353 +14932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.303926563 -0.364783353 +14930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.478487246 -0.364783353 +14935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.425778106 -0.364783353 +14934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.678861976 -0.364783353 +14933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.298654467 -0.364783353 +14936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.745909058 -0.364783353 +14937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.619090402 -0.364783353 +14938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.438897744 -0.364783353 +14940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.352920071 -0.364783353 +14939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.776513416 -0.364783353 +14941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.213416871 -0.364783353 +14942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.324534784 -0.364783353 +14943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.033089625 -0.364783353 +14944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.126219694 -0.364783353 +14946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.42317623 -0.364783353 +14948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.169517868 -0.364783353 +14945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.116928039 -0.364783353 +14950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.703308598 -0.364783353 +14949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.342683483 -0.364783353 +14947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.271530869 -0.364783353 +14951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.116796476 -0.364783353 +14952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.086564136 -0.364783353 +14953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.487252356 -0.364783353 +14955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.403506621 -0.364783353 +14956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.279949042 -0.364783353 +14954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.774295337 -0.364783353 +14957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.716457705 -0.364783353 +14958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.257485073 -0.364783353 +14960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.336607222 -0.364783353 +14959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.414107154 -0.364783353 +14961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.221933076 -0.364783353 +14962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.523600162 -0.364783353 +14963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.272879111 -0.364783353 +14964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.072511262 -0.364783353 +14965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.227605567 -0.364783353 +14966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.318454351 -0.364783353 +14967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.275820045 -0.364783353 +14969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.0376123 -0.364783353 +14968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.716306044 -0.364783353 +14970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.367718538 -0.364783353 +14971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.048167489 -0.364783353 +14972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.319975704 -0.364783353 +14973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.743962917 -0.364783353 +14974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.055788085 -0.364783353 +14975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.625252778 -0.364783353 +14976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.336586192 -0.364783353 +14977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.024576233 -0.364783353 +14980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.426607847 -0.364783353 +14981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.443508302 -0.364783353 +14979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.135663589 -0.364783353 +14978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.181994292 -0.364783353 +14982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.669390205 -0.364783353 +14984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.197949831 -0.364783353 +14983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.109761009 -0.364783353 +14985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.146650882 -0.364783353 +14987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.294508358 -0.364783353 +14986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.518978872 -0.364783353 +14988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 0.066133015 -0.364783353 +14989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.469073628 -0.364783353 +14991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.298421759 -0.364783353 +14990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.399625018 -0.364783353 +14992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.302205392 -0.364783353 +14995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.331835528 -0.364783353 +14994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.337489874 -0.364783353 +14997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.727217219 -0.364783353 +14996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.213417529 -0.364783353 +14998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.254003881 -0.364783353 +14999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.576020876 -0.364783353 +15000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.583213373 -0.364783353 +14993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.3 10 1 -0.712832644 -0.364783353 +15001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.663799329 -0.192157458 +15002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.672508013 -0.192157458 +15003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.025570805 -0.192157458 +15004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.188145528 -0.192157458 +15005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.544640531 -0.192157458 +15008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.25578325 -0.192157458 +15009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.489414122 -0.192157458 +15006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.459480406 -0.192157458 +15007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.538117651 -0.192157458 +15010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.491435069 -0.192157458 +15011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.048139877 -0.192157458 +15012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.331344512 -0.192157458 +15013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.07714182 -0.192157458 +15014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.374820703 -0.192157458 +15015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.633520623 -0.192157458 +15016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.613963429 -0.192157458 +15017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.356683922 -0.192157458 +15019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.041010379 -0.192157458 +15018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.572854283 -0.192157458 +15020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.660001948 -0.192157458 +15021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.067929847 -0.192157458 +15022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.205722509 -0.192157458 +15024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -2.25E-05 -0.192157458 +15023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.198007137 -0.192157458 +15025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.01210047 -0.192157458 +15026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.010034877 -0.192157458 +15028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.087177087 -0.192157458 +15027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.791405932 -0.192157458 +15030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.614581778 -0.192157458 +15029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.28664802 -0.192157458 +15033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.553368981 -0.192157458 +15032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.786472106 -0.192157458 +15031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.696071676 -0.192157458 +15034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.678897271 -0.192157458 +15035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.363520145 -0.192157458 +15036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.021019829 -0.192157458 +15037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.035138236 -0.192157458 +15038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.093767765 -0.192157458 +15040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.147445484 -0.192157458 +15041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.148942721 -0.192157458 +15039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.615152156 -0.192157458 +15043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.626278943 -0.192157458 +15042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.395162105 -0.192157458 +15045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.07396807 -0.192157458 +15046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.016779988 -0.192157458 +15044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.296195914 -0.192157458 +15047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.142342522 -0.192157458 +15049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.003330833 -0.192157458 +15050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.006898796 -0.192157458 +15048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.22667874 -0.192157458 +15052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.145225885 -0.192157458 +15053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.09587857 -0.192157458 +15051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.162486693 -0.192157458 +15054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.2021826 -0.192157458 +15055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.018198523 -0.192157458 +15056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.426840974 -0.192157458 +15058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.149792139 -0.192157458 +15057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.262795487 -0.192157458 +15060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.370267641 -0.192157458 +15059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.741585607 -0.192157458 +15062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.25437192 -0.192157458 +15061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.446561403 -0.192157458 +15064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.422423046 -0.192157458 +15063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.5809434 -0.192157458 +15065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.652528565 -0.192157458 +15066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.428807444 -0.192157458 +15068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.389852909 -0.192157458 +15067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.214777862 -0.192157458 +15069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.131355688 -0.192157458 +15070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.296059009 -0.192157458 +15072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.653886937 -0.192157458 +15071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.358482079 -0.192157458 +15074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.3830518 -0.192157458 +15073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.080438203 -0.192157458 +15075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.038230762 -0.192157458 +15076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.00248434 -0.192157458 +15077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.181283212 -0.192157458 +15078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.254687958 -0.192157458 +15079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.688439667 -0.192157458 +15080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.049171236 -0.192157458 +15081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.784639758 -0.192157458 +15083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.41846026 -0.192157458 +15084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.497589428 -0.192157458 +15086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.675423101 -0.192157458 +15085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.564736698 -0.192157458 +15082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.090979394 -0.192157458 +15087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.145396533 -0.192157458 +15089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.263921718 -0.192157458 +15090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.593800124 -0.192157458 +15091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.636819518 -0.192157458 +15092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.099333824 -0.192157458 +15093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.771365087 -0.192157458 +15088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.428032886 -0.192157458 +15094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.544826232 -0.192157458 +15095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.665166599 -0.192157458 +15098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.219392823 -0.192157458 +15097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.478225738 -0.192157458 +15099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.555296957 -0.192157458 +15101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.114276274 -0.192157458 +15100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.053680903 -0.192157458 +15096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.323516363 -0.192157458 +15103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.326669611 -0.192157458 +15102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.688885645 -0.192157458 +15105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.772777871 -0.192157458 +15104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.560927386 -0.192157458 +15106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.05784052 -0.192157458 +15109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.549065366 -0.192157458 +15108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.616011842 -0.192157458 +15107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.585289484 -0.192157458 +15110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.57773711 -0.192157458 +15113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.457208333 -0.192157458 +15112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.254237706 -0.192157458 +15114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.697725093 -0.192157458 +15116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.366885119 -0.192157458 +15117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.460519114 -0.192157458 +15115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.166128088 -0.192157458 +15111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.656711701 -0.192157458 +15119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.052749723 -0.192157458 +15120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.092083917 -0.192157458 +15118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.70132041 -0.192157458 +15122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.228111795 -0.192157458 +15123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.130684085 -0.192157458 +15121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.591069348 -0.192157458 +15124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.831681866 -0.192157458 +15126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.47091939 -0.192157458 +15127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.023042931 -0.192157458 +15128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.556310105 -0.192157458 +15129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.065310321 -0.192157458 +15131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.219660419 -0.192157458 +15125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.073835807 -0.192157458 +15132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.145200323 -0.192157458 +15130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.320480744 -0.192157458 +15133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.774738853 -0.192157458 +15134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.156150722 -0.192157458 +15136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.521393329 -0.192157458 +15135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.40180271 -0.192157458 +15137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.599854467 -0.192157458 +15139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.045180774 -0.192157458 +15140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.171212148 -0.192157458 +15138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.176120496 -0.192157458 +15142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.075001857 -0.192157458 +15141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.534022793 -0.192157458 +15143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.071236074 -0.192157458 +15144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.169114742 -0.192157458 +15145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.605010853 -0.192157458 +15146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.02685073 -0.192157458 +15147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.688700374 -0.192157458 +15149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.023414085 -0.192157458 +15148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.683050354 -0.192157458 +15150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.308721818 -0.192157458 +15151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.110123705 -0.192157458 +15152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.034348546 -0.192157458 +15153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.612811005 -0.192157458 +15154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.018225709 -0.192157458 +15156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.501999854 -0.192157458 +15155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.312569889 -0.192157458 +15158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.714205838 -0.192157458 +15157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.080921067 -0.192157458 +15159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.513035497 -0.192157458 +15161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.473379559 -0.192157458 +15160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.28599346 -0.192157458 +15162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.822463394 -0.192157458 +15165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.212739087 -0.192157458 +15163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.677673686 -0.192157458 +15164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.193820865 -0.192157458 +15166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.206971508 -0.192157458 +15167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.295291532 -0.192157458 +15168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.377671263 -0.192157458 +15169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.704417803 -0.192157458 +15170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.39298403 -0.192157458 +15171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.025048001 -0.192157458 +15172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.063029178 -0.192157458 +15173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.004313378 -0.192157458 +15175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.002433521 -0.192157458 +15176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.503520414 -0.192157458 +15177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.684072541 -0.192157458 +15178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.256169285 -0.192157458 +15179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.050639459 -0.192157458 +15180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.368925436 -0.192157458 +15181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.077321329 -0.192157458 +15174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.528309505 -0.192157458 +15182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.690338098 -0.192157458 +15183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.190580456 -0.192157458 +15185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.724847062 -0.192157458 +15186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.785572582 -0.192157458 +15184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.432995903 -0.192157458 +15188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.566307976 -0.192157458 +15189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.402638929 -0.192157458 +15187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.193045809 -0.192157458 +15190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.390756886 -0.192157458 +15191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.648651348 -0.192157458 +15193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.146237927 -0.192157458 +15192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.426747484 -0.192157458 +15194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.364025317 -0.192157458 +15195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.297684931 -0.192157458 +15197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.017690152 -0.192157458 +15199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.790441848 -0.192157458 +15198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.191777372 -0.192157458 +15200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.447426276 -0.192157458 +15196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.285691091 -0.192157458 +15203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.619941233 -0.192157458 +15204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.643725252 -0.192157458 +15201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.537814742 -0.192157458 +15205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.130941541 -0.192157458 +15202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.334246247 -0.192157458 +15206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.226361874 -0.192157458 +15207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.708215996 -0.192157458 +15208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.133359567 -0.192157458 +15209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.142685172 -0.192157458 +15210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.562905653 -0.192157458 +15211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.768815197 -0.192157458 +15212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.620006624 -0.192157458 +15214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.424460921 -0.192157458 +15213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.336588898 -0.192157458 +15215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.658110487 -0.192157458 +15217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.700720637 -0.192157458 +15218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.224949357 -0.192157458 +15219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.514269741 -0.192157458 +15220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.079215274 -0.192157458 +15221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.410599609 -0.192157458 +15222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.159173722 -0.192157458 +15223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.624329249 -0.192157458 +15216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.126250245 -0.192157458 +15224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.528125841 -0.192157458 +15225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.251318867 -0.192157458 +15226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.603929291 -0.192157458 +15227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.52628365 -0.192157458 +15229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.307544049 -0.192157458 +15228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.013456867 -0.192157458 +15231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.583183966 -0.192157458 +15230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.698707566 -0.192157458 +15232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.354056954 -0.192157458 +15233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.752283673 -0.192157458 +15234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.531936791 -0.192157458 +15236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.372999031 -0.192157458 +15235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.989142137 -0.192157458 +15238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.280073025 -0.192157458 +15239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.3677747 -0.192157458 +15237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.2810295 -0.192157458 +15240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.543166875 -0.192157458 +15241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.423442049 -0.192157458 +15242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.052557685 -0.192157458 +15243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.389592207 -0.192157458 +15244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.023451818 -0.192157458 +15246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.794373758 -0.192157458 +15247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.597746898 -0.192157458 +15248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.150147592 -0.192157458 +15245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.601903628 -0.192157458 +15250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.093358494 -0.192157458 +15249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.776837362 -0.192157458 +15251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.096856954 -0.192157458 +15252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.5757259 -0.192157458 +15254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.348398901 -0.192157458 +15255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.62826492 -0.192157458 +15253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.852985703 -0.192157458 +15256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.566666622 -0.192157458 +15257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.823667751 -0.192157458 +15258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.201892827 -0.192157458 +15259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.182668029 -0.192157458 +15260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.518815657 -0.192157458 +15261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.758488217 -0.192157458 +15263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.69929056 -0.192157458 +15264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.625730499 -0.192157458 +15262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.032233959 -0.192157458 +15265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.585830986 -0.192157458 +15267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.29278837 -0.192157458 +15268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.5517732 -0.192157458 +15269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.275099531 -0.192157458 +15270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.308772121 -0.192157458 +15272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.164310537 -0.192157458 +15266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.002501682 -0.192157458 +15273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.801778881 -0.192157458 +15274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.237502773 -0.192157458 +15271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.768293242 -0.192157458 +15275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.487577967 -0.192157458 +15276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.349456562 -0.192157458 +15277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.784153644 -0.192157458 +15278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.487223811 -0.192157458 +15279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.127987649 -0.192157458 +15281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.515385791 -0.192157458 +15280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.509771269 -0.192157458 +15282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.712228691 -0.192157458 +15283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.472438939 -0.192157458 +15284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.09966445 -0.192157458 +15287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.782168203 -0.192157458 +15288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.663149737 -0.192157458 +15289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.289927874 -0.192157458 +15290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.470625299 -0.192157458 +15286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.462568227 -0.192157458 +15285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.684653676 -0.192157458 +15292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.300610716 -0.192157458 +15291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.028946548 -0.192157458 +15293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.789933112 -0.192157458 +15294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.046318682 -0.192157458 +15298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.052129533 -0.192157458 +15296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.773746782 -0.192157458 +15299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.478854069 -0.192157458 +15300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.349129646 -0.192157458 +15295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.069122613 -0.192157458 +15301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.339702348 -0.192157458 +15297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.108278825 -0.192157458 +15302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.126948289 -0.192157458 +15304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.669606494 -0.192157458 +15303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.110758999 -0.192157458 +15305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.670825529 -0.192157458 +15306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.188930487 -0.192157458 +15307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.501972019 -0.192157458 +15308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.227618992 -0.192157458 +15309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.213825736 -0.192157458 +15310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.170855261 -0.192157458 +15312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.616449292 -0.192157458 +15313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.430867021 -0.192157458 +15314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.705972905 -0.192157458 +15311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.384453221 -0.192157458 +15316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.19307151 -0.192157458 +15315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.685768239 -0.192157458 +15317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.080660226 -0.192157458 +15318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.188828652 -0.192157458 +15319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.629456552 -0.192157458 +15320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.889184444 -0.192157458 +15321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.265231223 -0.192157458 +15322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.422733347 -0.192157458 +15323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.593362884 -0.192157458 +15324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.670138194 -0.192157458 +15325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.539493016 -0.192157458 +15326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.154944919 -0.192157458 +15328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.679474183 -0.192157458 +15327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.200113327 -0.192157458 +15329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.073780102 -0.192157458 +15330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.049812966 -0.192157458 +15332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.327737634 -0.192157458 +15331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.841387689 -0.192157458 +15334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.494291883 -0.192157458 +15335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.339405944 -0.192157458 +15336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.253402454 -0.192157458 +15337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.193102631 -0.192157458 +15338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.213193426 -0.192157458 +15339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.384159768 -0.192157458 +15333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.505956124 -0.192157458 +15340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.585674557 -0.192157458 +15341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.637903554 -0.192157458 +15342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.321225498 -0.192157458 +15345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.69374085 -0.192157458 +15344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.066000632 -0.192157458 +15346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.180712169 -0.192157458 +15347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.366790771 -0.192157458 +15343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.127042382 -0.192157458 +15348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.555870866 -0.192157458 +15349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.43597371 -0.192157458 +15350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.449708544 -0.192157458 +15352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.547456249 -0.192157458 +15353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.639672898 -0.192157458 +15351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.700034911 -0.192157458 +15354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.693947795 -0.192157458 +15355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.189087271 -0.192157458 +15356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.801099567 -0.192157458 +15357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.428188053 -0.192157458 +15358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.7893104 -0.192157458 +15359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.559697968 -0.192157458 +15360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.34088909 -0.192157458 +15362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.577419106 -0.192157458 +15363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.327782694 -0.192157458 +15364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.623462522 -0.192157458 +15361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.502349683 -0.192157458 +15365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.03902668 -0.192157458 +15366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.628683616 -0.192157458 +15367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.314405086 -0.192157458 +15368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.511713561 -0.192157458 +15370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.703176628 -0.192157458 +15371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.152598977 -0.192157458 +15373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.392809259 -0.192157458 +15372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.600813035 -0.192157458 +15374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.007496325 -0.192157458 +15375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.582925888 -0.192157458 +15377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.627450909 -0.192157458 +15376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.223838914 -0.192157458 +15369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.004430602 -0.192157458 +15378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.823917732 -0.192157458 +15379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.546989341 -0.192157458 +15381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.435051385 -0.192157458 +15380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.558957909 -0.192157458 +15384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.414195848 -0.192157458 +15382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.645586298 -0.192157458 +15386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.10681704 -0.192157458 +15385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.765512709 -0.192157458 +15387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.614118275 -0.192157458 +15388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.299726379 -0.192157458 +15383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.736022261 -0.192157458 +15391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.446530351 -0.192157458 +15390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.503492955 -0.192157458 +15389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.37898447 -0.192157458 +15392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.41041114 -0.192157458 +15394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.080397422 -0.192157458 +15393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.729881868 -0.192157458 +15395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.39690253 -0.192157458 +15396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.277447153 -0.192157458 +15397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.572668675 -0.192157458 +15398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.758602886 -0.192157458 +15399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.510923362 -0.192157458 +15400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.352146017 -0.192157458 +15401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.14480856 -0.192157458 +15403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.750023944 -0.192157458 +15402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.879969434 -0.192157458 +15404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.588720416 -0.192157458 +15406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.43369815 -0.192157458 +15405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.6150938 -0.192157458 +15407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.541135097 -0.192157458 +15409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.456395326 -0.192157458 +15410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.109807471 -0.192157458 +15412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.265418379 -0.192157458 +15411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.806145399 -0.192157458 +15408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.379224402 -0.192157458 +15414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.469326594 -0.192157458 +15413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.352856699 -0.192157458 +15416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.777830183 -0.192157458 +15417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.011038018 -0.192157458 +15415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.631418698 -0.192157458 +15418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.36048685 -0.192157458 +15420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.074959664 -0.192157458 +15419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.475134017 -0.192157458 +15421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.654960587 -0.192157458 +15422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.3308463 -0.192157458 +15425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.591592509 -0.192157458 +15424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.448319487 -0.192157458 +15427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.510764027 -0.192157458 +15423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.205690202 -0.192157458 +15426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.45896663 -0.192157458 +15428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.301629287 -0.192157458 +15429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.003289141 -0.192157458 +15430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.339888082 -0.192157458 +15432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.796932866 -0.192157458 +15431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.232249313 -0.192157458 +15434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.613757063 -0.192157458 +15435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.143005468 -0.192157458 +15433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.112398098 -0.192157458 +15436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.622365449 -0.192157458 +15438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.706098865 -0.192157458 +15437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.564381879 -0.192157458 +15439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.387884234 -0.192157458 +15440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.086069519 -0.192157458 +15442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.793994482 -0.192157458 +15443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.463057618 -0.192157458 +15441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.680329544 -0.192157458 +15445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.295003564 -0.192157458 +15446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.448434027 -0.192157458 +15447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.790757217 -0.192157458 +15444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.651204621 -0.192157458 +15448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.594637604 -0.192157458 +15451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.153562583 -0.192157458 +15450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.23354563 -0.192157458 +15449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.200466321 -0.192157458 +15453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.746533352 -0.192157458 +15452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.285230202 -0.192157458 +15454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.29261738 -0.192157458 +15455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.303566287 -0.192157458 +15456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.789410768 -0.192157458 +15457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.646360425 -0.192157458 +15458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.177263 -0.192157458 +15459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.061122579 -0.192157458 +15461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.385460619 -0.192157458 +15462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.598317801 -0.192157458 +15460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.169390661 -0.192157458 +15464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.256382102 -0.192157458 +15463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.518168474 -0.192157458 +15466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.48672247 -0.192157458 +15465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.699154665 -0.192157458 +15467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.820418744 -0.192157458 +15469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.225747399 -0.192157458 +15468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.517169898 -0.192157458 +15470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.41280883 -0.192157458 +15471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.24514291 -0.192157458 +15472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.461040157 -0.192157458 +15473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.709441861 -0.192157458 +15474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.531082031 -0.192157458 +15475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.263269046 -0.192157458 +15477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.215934015 -0.192157458 +15476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.36062268 -0.192157458 +15478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.359238058 -0.192157458 +15479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.300701251 -0.192157458 +15482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.32154087 -0.192157458 +15481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.363055217 -0.192157458 +15483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.344632328 -0.192157458 +15480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.044735501 -0.192157458 +15484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.336975179 -0.192157458 +15485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.007012908 -0.192157458 +15486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.532689044 -0.192157458 +15487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.590531676 -0.192157458 +15488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.01539269 -0.192157458 +15489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.01240967 -0.192157458 +15490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.191559028 -0.192157458 +15491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.019004955 -0.192157458 +15492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.371513688 -0.192157458 +15493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.747398698 -0.192157458 +15494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.467761458 -0.192157458 +15495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.319524182 -0.192157458 +15496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.143170467 -0.192157458 +15497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.721490674 -0.192157458 +15498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.375014683 -0.192157458 +15500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.54380608 -0.192157458 +15501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.542095736 -0.192157458 +15502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.020470779 -0.192157458 +15499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.132429073 -0.192157458 +15503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.52151757 -0.192157458 +15504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.002825128 -0.192157458 +15505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.351368158 -0.192157458 +15506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.053793659 -0.192157458 +15508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.009025078 -0.192157458 +15507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.043372675 -0.192157458 +15509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.590216805 -0.192157458 +15511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.392478023 -0.192157458 +15510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.384862096 -0.192157458 +15512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.743498558 -0.192157458 +15514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.219558428 -0.192157458 +15513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.726146268 -0.192157458 +15515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.197752036 -0.192157458 +15516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.312578921 -0.192157458 +15517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.038941311 -0.192157458 +15518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.043019642 -0.192157458 +15520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.413699956 -0.192157458 +15521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.070761698 -0.192157458 +15522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.501865812 -0.192157458 +15519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.102398644 -0.192157458 +15523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.068919465 -0.192157458 +15524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.092057855 -0.192157458 +15525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.474063767 -0.192157458 +15526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.682458455 -0.192157458 +15527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.356222899 -0.192157458 +15528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.058834951 -0.192157458 +15529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.470231286 -0.192157458 +15530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.60728858 -0.192157458 +15531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.182685271 -0.192157458 +15532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.044517465 -0.192157458 +15533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.194515694 -0.192157458 +15534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.27291955 -0.192157458 +15535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.489226659 -0.192157458 +15536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.026058436 -0.192157458 +15537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.37362328 -0.192157458 +15539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.563147836 -0.192157458 +15540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.335824399 -0.192157458 +15538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.11321407 -0.192157458 +15541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.630641064 -0.192157458 +15542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.502741329 -0.192157458 +15543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.648021231 -0.192157458 +15544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.024004982 -0.192157458 +15545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.533263718 -0.192157458 +15546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.081819108 -0.192157458 +15547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.492309351 -0.192157458 +15549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.456097328 -0.192157458 +15548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.055453743 -0.192157458 +15550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.799121672 -0.192157458 +15552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.200797734 -0.192157458 +15551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.076774233 -0.192157458 +15554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.716648105 -0.192157458 +15553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.165020876 -0.192157458 +15555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.247537281 -0.192157458 +15558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.25301753 -0.192157458 +15556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.698914936 -0.192157458 +15557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.084436063 -0.192157458 +15560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.270507842 -0.192157458 +15559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.126715073 -0.192157458 +15561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.055226139 -0.192157458 +15562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.193275088 -0.192157458 +15563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.643780061 -0.192157458 +15565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.184042943 -0.192157458 +15567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.052203808 -0.192157458 +15564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.214941533 -0.192157458 +15566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.160704344 -0.192157458 +15568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.24056607 -0.192157458 +15571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.244827733 -0.192157458 +15569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.792707694 -0.192157458 +15570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.327413751 -0.192157458 +15572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.018550563 -0.192157458 +15574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.161721754 -0.192157458 +15573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.265138583 -0.192157458 +15576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.133830827 -0.192157458 +15577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.004871012 -0.192157458 +15578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.19092222 -0.192157458 +15579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.142713605 -0.192157458 +15580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.166611991 -0.192157458 +15581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.357558978 -0.192157458 +15582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.808375222 -0.192157458 +15575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.081519812 -0.192157458 +15583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.221780575 -0.192157458 +15584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.646891094 -0.192157458 +15586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.725328914 -0.192157458 +15585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.462875011 -0.192157458 +15587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.113963198 -0.192157458 +15588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.444347269 -0.192157458 +15590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.17774262 -0.192157458 +15589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.851319819 -0.192157458 +15591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.171399341 -0.192157458 +15592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.705322625 -0.192157458 +15594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.52035318 -0.192157458 +15593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.025322814 -0.192157458 +15595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.329051929 -0.192157458 +15596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.751228502 -0.192157458 +15598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.164818109 -0.192157458 +15597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.259170292 -0.192157458 +15599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.782370896 -0.192157458 +15600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.334014546 -0.192157458 +15602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.074050839 -0.192157458 +15601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.096705756 -0.192157458 +15603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.207355076 -0.192157458 +15605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.132867659 -0.192157458 +15604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.292188374 -0.192157458 +15606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.802802962 -0.192157458 +15607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.001485372 -0.192157458 +15608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.445087411 -0.192157458 +15611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.407970811 -0.192157458 +15610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.803442939 -0.192157458 +15609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.241067615 -0.192157458 +15613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.078548769 -0.192157458 +15612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.140888564 -0.192157458 +15615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.472052155 -0.192157458 +15614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.625700448 -0.192157458 +15616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.707190178 -0.192157458 +15617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.452497114 -0.192157458 +15618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.267507995 -0.192157458 +15619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.664758851 -0.192157458 +15620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.280576572 -0.192157458 +15621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.085193051 -0.192157458 +15623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.259493475 -0.192157458 +15622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.407109805 -0.192157458 +15625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.122385105 -0.192157458 +15624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.023879528 -0.192157458 +15627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.418275269 -0.192157458 +15626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.302156888 -0.192157458 +15628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.093481748 -0.192157458 +15629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.650557203 -0.192157458 +15630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.191051853 -0.192157458 +15631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.481417543 -0.192157458 +15632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.418332036 -0.192157458 +15633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.291673422 -0.192157458 +15635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.165447005 -0.192157458 +15636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.565873965 -0.192157458 +15637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.416913128 -0.192157458 +15638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.019633059 -0.192157458 +15639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.03265143 -0.192157458 +15634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.746882542 -0.192157458 +15640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.45431363 -0.192157458 +15641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.244110018 -0.192157458 +15642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.206494574 -0.192157458 +15643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.156471104 -0.192157458 +15644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.272382791 -0.192157458 +15645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.352305097 -0.192157458 +15646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.222228979 -0.192157458 +15647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.791080951 -0.192157458 +15648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.038448778 -0.192157458 +15652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.593387077 -0.192157458 +15651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.696588497 -0.192157458 +15649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.446360545 -0.192157458 +15653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.070462907 -0.192157458 +15654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.450240318 -0.192157458 +15650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.645319452 -0.192157458 +15656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.739857617 -0.192157458 +15655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.055921691 -0.192157458 +15658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.153203759 -0.192157458 +15657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.48512117 -0.192157458 +15659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.375818416 -0.192157458 +15661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.173599354 -0.192157458 +15662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.217866441 -0.192157458 +15660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.812541384 -0.192157458 +15663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.734634106 -0.192157458 +15664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.800447653 -0.192157458 +15665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.296661009 -0.192157458 +15666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.696514026 -0.192157458 +15668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.556385562 -0.192157458 +15667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.794136841 -0.192157458 +15670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.760400775 -0.192157458 +15671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.3880995 -0.192157458 +15669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.056590805 -0.192157458 +15672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.487208881 -0.192157458 +15673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.047687179 -0.192157458 +15674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.131787343 -0.192157458 +15675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.232652199 -0.192157458 +15677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.744518071 -0.192157458 +15676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.746141853 -0.192157458 +15678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.393977843 -0.192157458 +15679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.100870452 -0.192157458 +15680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.679800201 -0.192157458 +15681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.154589762 -0.192157458 +15683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.728171968 -0.192157458 +15682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.515993518 -0.192157458 +15686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.590652664 -0.192157458 +15684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.336734751 -0.192157458 +15687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.051223632 -0.192157458 +15688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.536872007 -0.192157458 +15685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.184284099 -0.192157458 +15689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.40446368 -0.192157458 +15690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.748645843 -0.192157458 +15691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.361158577 -0.192157458 +15692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.008942491 -0.192157458 +15693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.357076337 -0.192157458 +15694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.021703821 -0.192157458 +15695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.59566466 -0.192157458 +15696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.175280907 -0.192157458 +15697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.001114802 -0.192157458 +15698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.669175772 -0.192157458 +15700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.709170938 -0.192157458 +15699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.783691317 -0.192157458 +15702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.370988741 -0.192157458 +15703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.335111688 -0.192157458 +15701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.577952128 -0.192157458 +15705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.105627287 -0.192157458 +15706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.456562374 -0.192157458 +15704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.256368153 -0.192157458 +15707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.261166087 -0.192157458 +15708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.644611142 -0.192157458 +15709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.286114814 -0.192157458 +15710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.215411853 -0.192157458 +15711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.286701949 -0.192157458 +15712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.041702917 -0.192157458 +15714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.066856496 -0.192157458 +15715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.444714853 -0.192157458 +15716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.538841263 -0.192157458 +15713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.420015229 -0.192157458 +15717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.045790694 -0.192157458 +15718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.751216238 -0.192157458 +15719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.703193785 -0.192157458 +15720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.82809327 -0.192157458 +15722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.421482504 -0.192157458 +15721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.03200723 -0.192157458 +15723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.563838816 -0.192157458 +15724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.682845644 -0.192157458 +15725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.67358583 -0.192157458 +15726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.404852926 -0.192157458 +15727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.012280968 -0.192157458 +15728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.657378924 -0.192157458 +15729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -8.44E-04 -0.192157458 +15732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.090093369 -0.192157458 +15731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.214598627 -0.192157458 +15733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.24363847 -0.192157458 +15730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.487701236 -0.192157458 +15735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.420094786 -0.192157458 +15736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.328534546 -0.192157458 +15734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.463104821 -0.192157458 +15737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.36378523 -0.192157458 +15738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.670058373 -0.192157458 +15739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.145037339 -0.192157458 +15740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.741564615 -0.192157458 +15741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.72704377 -0.192157458 +15742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.193284113 -0.192157458 +15743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.785556249 -0.192157458 +15744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.704999595 -0.192157458 +15745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.343436134 -0.192157458 +15746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.112615142 -0.192157458 +15748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.726528353 -0.192157458 +15747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.464925688 -0.192157458 +15750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.507881341 -0.192157458 +15751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.306923729 -0.192157458 +15749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.064737742 -0.192157458 +15753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.666056837 -0.192157458 +15754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.083901226 -0.192157458 +15755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.686529304 -0.192157458 +15752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.032328157 -0.192157458 +15756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.695188871 -0.192157458 +15757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.441549116 -0.192157458 +15758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.773490514 -0.192157458 +15759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.721002902 -0.192157458 +15760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.784742284 -0.192157458 +15761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.71417247 -0.192157458 +15763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.290375809 -0.192157458 +15762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.768000007 -0.192157458 +15766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.410727783 -0.192157458 +15764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.60943606 -0.192157458 +15768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.644408948 -0.192157458 +15765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.032290443 -0.192157458 +15769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.193177986 -0.192157458 +15770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.447502058 -0.192157458 +15771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.779588599 -0.192157458 +15767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.605031127 -0.192157458 +15772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.586772627 -0.192157458 +15773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.613022036 -0.192157458 +15774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.439915213 -0.192157458 +15775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.529247987 -0.192157458 +15776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.553958623 -0.192157458 +15778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.049229473 -0.192157458 +15780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.091921831 -0.192157458 +15779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.350021848 -0.192157458 +15781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.685541453 -0.192157458 +15782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.277002055 -0.192157458 +15777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.022919265 -0.192157458 +15784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.319682375 -0.192157458 +15783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.594371985 -0.192157458 +15785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.276337722 -0.192157458 +15786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.422565246 -0.192157458 +15787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.658715576 -0.192157458 +15789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.107760789 -0.192157458 +15790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.435601384 -0.192157458 +15788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.633491972 -0.192157458 +15791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.550155253 -0.192157458 +15792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.741143781 -0.192157458 +15793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.522246117 -0.192157458 +15794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.384114299 -0.192157458 +15796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.469187091 -0.192157458 +15798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.074937255 -0.192157458 +15797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.070085586 -0.192157458 +15799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.440780766 -0.192157458 +15795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.034544508 -0.192157458 +15800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.857796603 -0.192157458 +15801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.334632422 -0.192157458 +15802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.527994614 -0.192157458 +15803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.378354543 -0.192157458 +15805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.414969266 -0.192157458 +15804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.43303677 -0.192157458 +15806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.519005602 -0.192157458 +15807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.53254203 -0.192157458 +15808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.434905987 -0.192157458 +15810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.186323947 -0.192157458 +15809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.329403399 -0.192157458 +15811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.489806978 -0.192157458 +15812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.085648384 -0.192157458 +15813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.529548813 -0.192157458 +15814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.399668945 -0.192157458 +15816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.471633411 -0.192157458 +15815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.142102947 -0.192157458 +15818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.099752128 -0.192157458 +15817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.657057099 -0.192157458 +15819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.250721187 -0.192157458 +15821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.794242366 -0.192157458 +15822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.684877206 -0.192157458 +15820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.592095757 -0.192157458 +15823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.55284073 -0.192157458 +15824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.842808851 -0.192157458 +15826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.622802896 -0.192157458 +15827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.226607092 -0.192157458 +15829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.537345566 -0.192157458 +15825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.67271815 -0.192157458 +15828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.516424103 -0.192157458 +15830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.36681853 -0.192157458 +15831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.218048797 -0.192157458 +15833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.540115763 -0.192157458 +15834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.582695658 -0.192157458 +15835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.202989829 -0.192157458 +15837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.350379214 -0.192157458 +15836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.81088532 -0.192157458 +15832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.286408227 -0.192157458 +15839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.006026221 -0.192157458 +15838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.310926099 -0.192157458 +15841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.277649495 -0.192157458 +15840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.089891307 -0.192157458 +15842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.12781738 -0.192157458 +15843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.050088306 -0.192157458 +15844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.017662303 -0.192157458 +15845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.413733641 -0.192157458 +15847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.226851873 -0.192157458 +15846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.25573318 -0.192157458 +15848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.289636613 -0.192157458 +15849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.033215232 -0.192157458 +15850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.660411237 -0.192157458 +15851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.005097107 -0.192157458 +15852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.664300209 -0.192157458 +15853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.372518044 -0.192157458 +15855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.157451654 -0.192157458 +15854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.706983844 -0.192157458 +15857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.678516982 -0.192157458 +15856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.054664635 -0.192157458 +15858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.216917864 -0.192157458 +15859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.068349138 -0.192157458 +15860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.638718645 -0.192157458 +15861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.747640522 -0.192157458 +15864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.33613078 -0.192157458 +15865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.133747075 -0.192157458 +15866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.613278946 -0.192157458 +15863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.219078937 -0.192157458 +15862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.039964288 -0.192157458 +15867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.691918745 -0.192157458 +15868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.347699266 -0.192157458 +15870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.549231018 -0.192157458 +15869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.731693629 -0.192157458 +15871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.350488826 -0.192157458 +15872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.555987295 -0.192157458 +15873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.371128797 -0.192157458 +15874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.081062653 -0.192157458 +15875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.463121766 -0.192157458 +15877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.457134438 -0.192157458 +15876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.776477348 -0.192157458 +15879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.676671986 -0.192157458 +15882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.070127091 -0.192157458 +15880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.470952831 -0.192157458 +15881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.731605913 -0.192157458 +15878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.561936256 -0.192157458 +15884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.127203915 -0.192157458 +15885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.695875917 -0.192157458 +15883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.341201844 -0.192157458 +15889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.180142871 -0.192157458 +15887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.04538865 -0.192157458 +15886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.54048774 -0.192157458 +15888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.1963873 -0.192157458 +15891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.153175018 -0.192157458 +15890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.787860838 -0.192157458 +15892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.076124364 -0.192157458 +15893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.577655555 -0.192157458 +15895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.25120272 -0.192157458 +15894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.815325525 -0.192157458 +15897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.702899623 -0.192157458 +15896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.720730976 -0.192157458 +15898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.452114473 -0.192157458 +15901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.801889623 -0.192157458 +15900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.683098449 -0.192157458 +15899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.449584398 -0.192157458 +15902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.315379812 -0.192157458 +15903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.701223823 -0.192157458 +15905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.034821542 -0.192157458 +15904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.683101004 -0.192157458 +15906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.626527743 -0.192157458 +15908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.738856248 -0.192157458 +15907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.690054688 -0.192157458 +15910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.864967583 -0.192157458 +15911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.516589516 -0.192157458 +15913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.490613645 -0.192157458 +15912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.21527773 -0.192157458 +15909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.456239462 -0.192157458 +15914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.5753016 -0.192157458 +15916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.691684545 -0.192157458 +15917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.687323985 -0.192157458 +15915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.389186747 -0.192157458 +15918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.256700811 -0.192157458 +15920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.480387574 -0.192157458 +15919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.69081627 -0.192157458 +15921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.409930702 -0.192157458 +15922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.372902108 -0.192157458 +15923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.276793648 -0.192157458 +15925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.325480339 -0.192157458 +15926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.119048736 -0.192157458 +15924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.600653709 -0.192157458 +15927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.199480887 -0.192157458 +15928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.589014312 -0.192157458 +15929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.136275458 -0.192157458 +15930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.601373603 -0.192157458 +15931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.818406028 -0.192157458 +15932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.420040403 -0.192157458 +15935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.641789312 -0.192157458 +15933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.789339714 -0.192157458 +15934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.294490673 -0.192157458 +15936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.567913941 -0.192157458 +15939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.343310397 -0.192157458 +15938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.382613772 -0.192157458 +15940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.137949857 -0.192157458 +15941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.247999541 -0.192157458 +15943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.794547946 -0.192157458 +15937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.670501259 -0.192157458 +15942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.696292978 -0.192157458 +15944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.412668387 -0.192157458 +15946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.754515863 -0.192157458 +15945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.324726834 -0.192157458 +15948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.388918927 -0.192157458 +15947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.422081908 -0.192157458 +15951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.263790174 -0.192157458 +15949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.043757278 -0.192157458 +15952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.70234014 -0.192157458 +15950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.181408031 -0.192157458 +15953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.258102958 -0.192157458 +15954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.45098233 -0.192157458 +15955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.213057411 -0.192157458 +15956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.0871223 -0.192157458 +15957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.488503075 -0.192157458 +15958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.650095158 -0.192157458 +15959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.288198785 -0.192157458 +15960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.126970862 -0.192157458 +15961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.174003366 -0.192157458 +15963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.307624067 -0.192157458 +15962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.656254993 -0.192157458 +15964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.572416498 -0.192157458 +15966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.264740233 -0.192157458 +15965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.596148227 -0.192157458 +15967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.269424613 -0.192157458 +15969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.411361737 -0.192157458 +15971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.511923251 -0.192157458 +15970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.268569627 -0.192157458 +15968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.418309581 -0.192157458 +15972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.858248928 -0.192157458 +15973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.634271026 -0.192157458 +15974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.556985696 -0.192157458 +15975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.777657278 -0.192157458 +15976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.450620168 -0.192157458 +15977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.632688303 -0.192157458 +15979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.074331436 -0.192157458 +15978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.745518619 -0.192157458 +15980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.621368299 -0.192157458 +15981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.209888955 -0.192157458 +15982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.068532843 -0.192157458 +15983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.749656988 -0.192157458 +15984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.146067001 -0.192157458 +15985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.146408342 -0.192157458 +15986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.478338812 -0.192157458 +15989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.677084899 -0.192157458 +15988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.178558241 -0.192157458 +15987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.064875859 -0.192157458 +15990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.437340109 -0.192157458 +15992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.786735149 -0.192157458 +15991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 0.031512596 -0.192157458 +15993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.125278794 -0.192157458 +15995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.040120874 -0.192157458 +15996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.721964798 -0.192157458 +15997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.491048325 -0.192157458 +15998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.635836645 -0.192157458 +15994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.411287755 -0.192157458 +15999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.389936031 -0.192157458 +16000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.25 10 1 -0.561965451 -0.192157458 +16001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.339747693 0.17119295 +16002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.595975608 0.17119295 +16003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.480269977 0.17119295 +16004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.661130013 0.17119295 +16005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.025836848 0.17119295 +16006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.819293721 0.17119295 +16008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.499690357 0.17119295 +16007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.713699846 0.17119295 +16009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.677251164 0.17119295 +16010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.476596841 0.17119295 +16012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.176161578 0.17119295 +16011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.267088033 0.17119295 +16013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.603128164 0.17119295 +16014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.750215189 0.17119295 +16016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.103901125 0.17119295 +16015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.705313408 0.17119295 +16017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.44248139 0.17119295 +16020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.51079904 0.17119295 +16018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.065016746 0.17119295 +16019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.269830395 0.17119295 +16021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.675187465 0.17119295 +16022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.704360935 0.17119295 +16023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.686851491 0.17119295 +16025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.756947209 0.17119295 +16024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.352358201 0.17119295 +16026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.158042047 0.17119295 +16027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.752309264 0.17119295 +16028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.738524937 0.17119295 +16029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.573526441 0.17119295 +16033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.402921425 0.17119295 +16031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.41607061 0.17119295 +16032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.142233301 0.17119295 +16034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.315397397 0.17119295 +16035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.72860457 0.17119295 +16036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.353854978 0.17119295 +16030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.511336817 0.17119295 +16037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.450303862 0.17119295 +16039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.666757096 0.17119295 +16038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.516512537 0.17119295 +16040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.090605994 0.17119295 +16041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.191140332 0.17119295 +16042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.00652545 0.17119295 +16043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.247092432 0.17119295 +16044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.582275719 0.17119295 +16045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.595107135 0.17119295 +16046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.004247983 0.17119295 +16047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.09022141 0.17119295 +16048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.260042573 0.17119295 +16049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.321008644 0.17119295 +16050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.241568789 0.17119295 +16051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.539344634 0.17119295 +16053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.72601842 0.17119295 +16052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.12932469 0.17119295 +16054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.307598059 0.17119295 +16055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.803188813 0.17119295 +16056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.216684551 0.17119295 +16058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.636527601 0.17119295 +16057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.776339138 0.17119295 +16059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.361961111 0.17119295 +16060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.195140109 0.17119295 +16062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.710026391 0.17119295 +16061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.473445794 0.17119295 +16063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.373663692 0.17119295 +16066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.588323718 0.17119295 +16064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.221211438 0.17119295 +16065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.439216384 0.17119295 +16067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.01250015 0.17119295 +16068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.407468517 0.17119295 +16069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.643337734 0.17119295 +16071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.25776692 0.17119295 +16072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.268336758 0.17119295 +16073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.353132216 0.17119295 +16074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.059240755 0.17119295 +16075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.674995401 0.17119295 +16076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.303418124 0.17119295 +16070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.65334017 0.17119295 +16077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.672871256 0.17119295 +16078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.166283122 0.17119295 +16079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.463738456 0.17119295 +16080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.036090923 0.17119295 +16082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.324673055 0.17119295 +16081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.491287649 0.17119295 +16083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.338828688 0.17119295 +16085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.106461547 0.17119295 +16084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.559282797 0.17119295 +16086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.122677365 0.17119295 +16087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.655803603 0.17119295 +16088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.333342416 0.17119295 +16089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.627794241 0.17119295 +16090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.486398398 0.17119295 +16091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.013123789 0.17119295 +16092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.112813259 0.17119295 +16094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.159902618 0.17119295 +16096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.697345094 0.17119295 +16095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.871689515 0.17119295 +16097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.510868999 0.17119295 +16098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.081945004 0.17119295 +16093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.135937304 0.17119295 +16100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.409065096 0.17119295 +16099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.715207654 0.17119295 +16101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.584996261 0.17119295 +16102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.005782013 0.17119295 +16103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.537161552 0.17119295 +16105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.085437564 0.17119295 +16104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.442805765 0.17119295 +16106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.292795216 0.17119295 +16107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.345795492 0.17119295 +16108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.027530289 0.17119295 +16109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.746874835 0.17119295 +16110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.62086906 0.17119295 +16111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.777458759 0.17119295 +16113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.427103528 0.17119295 +16112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.480897271 0.17119295 +16115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.074776103 0.17119295 +16116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.692288688 0.17119295 +16117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.317009683 0.17119295 +16114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.810707825 0.17119295 +16118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.358948379 0.17119295 +16119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.584400171 0.17119295 +16120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.713160569 0.17119295 +16121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.195055671 0.17119295 +16122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.194304409 0.17119295 +16124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.212473257 0.17119295 +16123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.348783018 0.17119295 +16125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.650334636 0.17119295 +16126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.396171921 0.17119295 +16127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.311059108 0.17119295 +16128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.739311696 0.17119295 +16129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.406321968 0.17119295 +16130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.459153717 0.17119295 +16131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.18411792 0.17119295 +16132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.58571143 0.17119295 +16134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.549089186 0.17119295 +16135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.131976061 0.17119295 +16133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.334335505 0.17119295 +16136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.439914119 0.17119295 +16137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.343744175 0.17119295 +16138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.720438247 0.17119295 +16139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.370472358 0.17119295 +16140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.641283715 0.17119295 +16141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.568288775 0.17119295 +16142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.046942297 0.17119295 +16143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.403960449 0.17119295 +16144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.643062059 0.17119295 +16145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.142353075 0.17119295 +16146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.693123544 0.17119295 +16147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.058121951 0.17119295 +16148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.695977229 0.17119295 +16149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.536241152 0.17119295 +16150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.245536434 0.17119295 +16152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.388230444 0.17119295 +16153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.022538002 0.17119295 +16154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.666598709 0.17119295 +16155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.384114309 0.17119295 +16156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.637281228 0.17119295 +16151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.374862417 0.17119295 +16158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.371602891 0.17119295 +16157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.048198572 0.17119295 +16159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.612757258 0.17119295 +16160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.062368127 0.17119295 +16161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.035719174 0.17119295 +16162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.485971311 0.17119295 +16163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.436628829 0.17119295 +16164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.441938086 0.17119295 +16165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.622579486 0.17119295 +16167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.071249323 0.17119295 +16168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.678311623 0.17119295 +16169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.587816688 0.17119295 +16166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.620687632 0.17119295 +16170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.425087205 0.17119295 +16171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.068989386 0.17119295 +16173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.678326634 0.17119295 +16174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.670735854 0.17119295 +16175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.179294492 0.17119295 +16176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.149370048 0.17119295 +16172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.621005918 0.17119295 +16178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.197414787 0.17119295 +16177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.667931806 0.17119295 +16179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.670892472 0.17119295 +16180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.366174742 0.17119295 +16181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.515088811 0.17119295 +16182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.023786211 0.17119295 +16185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.654720499 0.17119295 +16183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.668722717 0.17119295 +16184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.177613853 0.17119295 +16186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.204851032 0.17119295 +16187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.536957499 0.17119295 +16188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.217996049 0.17119295 +16189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.388213891 0.17119295 +16190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.059616698 0.17119295 +16191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.093624403 0.17119295 +16192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.423949411 0.17119295 +16194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.189531868 0.17119295 +16193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.348842658 0.17119295 +16195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.618899725 0.17119295 +16197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.028722203 0.17119295 +16199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.747163733 0.17119295 +16200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.5860813 0.17119295 +16196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.387421361 0.17119295 +16198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.295631396 0.17119295 +16202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.50997877 0.17119295 +16203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.099375813 0.17119295 +16201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.46759124 0.17119295 +16204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.145878712 0.17119295 +16205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.302403955 0.17119295 +16206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.269429683 0.17119295 +16207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.39315432 0.17119295 +16208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.449584969 0.17119295 +16210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.294590521 0.17119295 +16209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.518292071 0.17119295 +16211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.69513172 0.17119295 +16212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.497891824 0.17119295 +16213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.685028152 0.17119295 +16214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.447425423 0.17119295 +16215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.375060409 0.17119295 +16216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.225609594 0.17119295 +16217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.239374965 0.17119295 +16219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.652528927 0.17119295 +16218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.733050523 0.17119295 +16220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.766828164 0.17119295 +16221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.336633073 0.17119295 +16222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.402331051 0.17119295 +16223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.598500759 0.17119295 +16224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.084988651 0.17119295 +16228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.079691091 0.17119295 +16227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.101315747 0.17119295 +16230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.587366862 0.17119295 +16229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.327829342 0.17119295 +16226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.101951941 0.17119295 +16225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.423499889 0.17119295 +16231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.657902885 0.17119295 +16232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.446634331 0.17119295 +16233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 5.59E-04 0.17119295 +16236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.223251661 0.17119295 +16237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.560847394 0.17119295 +16238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.029536137 0.17119295 +16235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.35625196 0.17119295 +16239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.209326889 0.17119295 +16234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.679828947 0.17119295 +16241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.712924978 0.17119295 +16240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.428718034 0.17119295 +16245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.177619261 0.17119295 +16244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.10971492 0.17119295 +16242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.110408049 0.17119295 +16246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.022477917 0.17119295 +16243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.688393766 0.17119295 +16247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.278153819 0.17119295 +16248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.482797315 0.17119295 +16250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.478974673 0.17119295 +16252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.306553083 0.17119295 +16249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.071715617 0.17119295 +16251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.337614952 0.17119295 +16254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.343858751 0.17119295 +16253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.089178741 0.17119295 +16255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.812767903 0.17119295 +16257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.014733461 0.17119295 +16256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.520717594 0.17119295 +16258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.241471287 0.17119295 +16259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.092321366 0.17119295 +16260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.79213501 0.17119295 +16261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.035514003 0.17119295 +16262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.536331259 0.17119295 +16264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.695123796 0.17119295 +16265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.711493123 0.17119295 +16266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.769245768 0.17119295 +16267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.635452594 0.17119295 +16269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.252738611 0.17119295 +16263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.233941636 0.17119295 +16270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.382709456 0.17119295 +16268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.154919857 0.17119295 +16271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.016614358 0.17119295 +16272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.425141353 0.17119295 +16274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.478053705 0.17119295 +16273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.365199035 0.17119295 +16275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.717793685 0.17119295 +16276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.1509901 0.17119295 +16278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.661473447 0.17119295 +16279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.265462572 0.17119295 +16277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.009274114 0.17119295 +16280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.678165197 0.17119295 +16282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.534489324 0.17119295 +16281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.665510706 0.17119295 +16283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.211278783 0.17119295 +16287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.561632796 0.17119295 +16285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.151454754 0.17119295 +16288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.777140049 0.17119295 +16286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.150126943 0.17119295 +16284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.582964202 0.17119295 +16289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.145224937 0.17119295 +16290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.665475127 0.17119295 +16291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.16049645 0.17119295 +16294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.340120398 0.17119295 +16295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.573408005 0.17119295 +16292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.034574306 0.17119295 +16293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.358063173 0.17119295 +16296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.535649101 0.17119295 +16297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.707808857 0.17119295 +16298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.02368513 0.17119295 +16299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.584156809 0.17119295 +16300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.338620304 0.17119295 +16301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.660586957 0.17119295 +16304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.077994633 0.17119295 +16302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.553208396 0.17119295 +16303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.047456072 0.17119295 +16305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.568418065 0.17119295 +16308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.240088676 0.17119295 +16309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.312380371 0.17119295 +16310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.004792854 0.17119295 +16311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.419206663 0.17119295 +16307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.583248026 0.17119295 +16306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.060108309 0.17119295 +16312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.465326399 0.17119295 +16313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.070260145 0.17119295 +16314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.586719645 0.17119295 +16317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.347681395 0.17119295 +16318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.840304367 0.17119295 +16315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.260431762 0.17119295 +16320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.731099654 0.17119295 +16316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.35339271 0.17119295 +16319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.56514912 0.17119295 +16321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.003378719 0.17119295 +16323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.193550883 0.17119295 +16322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.754095433 0.17119295 +16325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.020531088 0.17119295 +16327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.625259426 0.17119295 +16324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.316817389 0.17119295 +16326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.048582571 0.17119295 +16328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.495563465 0.17119295 +16329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.551280094 0.17119295 +16330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.785320951 0.17119295 +16331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.450282384 0.17119295 +16332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.019068332 0.17119295 +16334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.126596983 0.17119295 +16333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.742434975 0.17119295 +16335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.026048347 0.17119295 +16337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.254840385 0.17119295 +16336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.188950601 0.17119295 +16339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.311481396 0.17119295 +16338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.367617104 0.17119295 +16340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.033763764 0.17119295 +16341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.265511978 0.17119295 +16342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.411069312 0.17119295 +16343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.068687157 0.17119295 +16345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.392773114 0.17119295 +16347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.354812723 0.17119295 +16346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.101161007 0.17119295 +16344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.343330516 0.17119295 +16348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.15682092 0.17119295 +16350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.447605542 0.17119295 +16349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.721263446 0.17119295 +16351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.014075553 0.17119295 +16352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.030685157 0.17119295 +16353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.084259505 0.17119295 +16354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.376828522 0.17119295 +16356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.649924121 0.17119295 +16355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.64743922 0.17119295 +16357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.416144155 0.17119295 +16358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.699905654 0.17119295 +16359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.635602807 0.17119295 +16362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.777172782 0.17119295 +16361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.24067293 0.17119295 +16360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.621411428 0.17119295 +16363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.455815564 0.17119295 +16364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.032473703 0.17119295 +16367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.808267626 0.17119295 +16365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.04230808 0.17119295 +16368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.03957588 0.17119295 +16369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.21936829 0.17119295 +16366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.612633938 0.17119295 +16370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.145500143 0.17119295 +16371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.058580007 0.17119295 +16374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.536044175 0.17119295 +16373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.454719371 0.17119295 +16377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.556009583 0.17119295 +16372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.750782638 0.17119295 +16378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.040554389 0.17119295 +16376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.49895616 0.17119295 +16375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.811114049 0.17119295 +16379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.036928073 0.17119295 +16381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.054380986 0.17119295 +16382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.0675881 0.17119295 +16380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.70692635 0.17119295 +16384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.033007081 0.17119295 +16383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.115042421 0.17119295 +16386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.7142807 0.17119295 +16385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.155013042 0.17119295 +16387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.757155687 0.17119295 +16388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.082651279 0.17119295 +16390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.267192227 0.17119295 +16389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.620016069 0.17119295 +16393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.580445481 0.17119295 +16391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.120393044 0.17119295 +16394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.136564195 0.17119295 +16395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.207108331 0.17119295 +16392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.02289776 0.17119295 +16397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.807884221 0.17119295 +16396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.031886385 0.17119295 +16398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.289178308 0.17119295 +16399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.21804691 0.17119295 +16400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.218465675 0.17119295 +16402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.077537915 0.17119295 +16403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.099450053 0.17119295 +16401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.284764239 0.17119295 +16405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.295759219 0.17119295 +16404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.009600252 0.17119295 +16407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.157801237 0.17119295 +16408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.627159924 0.17119295 +16409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.255157464 0.17119295 +16406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.493678945 0.17119295 +16411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.102606841 0.17119295 +16412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.404125236 0.17119295 +16413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.739011908 0.17119295 +16410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.588690765 0.17119295 +16414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.027414319 0.17119295 +16415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.380256617 0.17119295 +16417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.467350302 0.17119295 +16416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.394303603 0.17119295 +16420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.575105646 0.17119295 +16419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.679004655 0.17119295 +16418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.700628316 0.17119295 +16421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.265149005 0.17119295 +16422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.5152117 0.17119295 +16423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.413972182 0.17119295 +16424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.455795494 0.17119295 +16425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.235672312 0.17119295 +16427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.245112474 0.17119295 +16428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.771977881 0.17119295 +16431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.610727187 0.17119295 +16426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.003864727 0.17119295 +16429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.20401322 0.17119295 +16430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.038894802 0.17119295 +16433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.877500437 0.17119295 +16432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.109525072 0.17119295 +16434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.156095388 0.17119295 +16435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.080616168 0.17119295 +16437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.264818649 0.17119295 +16439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.233631841 0.17119295 +16440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.051676464 0.17119295 +16441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.696896142 0.17119295 +16438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.347926019 0.17119295 +16442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.055369442 0.17119295 +16436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.26633994 0.17119295 +16445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.814542652 0.17119295 +16443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.164407127 0.17119295 +16446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.777066646 0.17119295 +16444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.152051984 0.17119295 +16447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.65266989 0.17119295 +16450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.595503141 0.17119295 +16448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.41646723 0.17119295 +16452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.76301654 0.17119295 +16451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.066174855 0.17119295 +16453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.109624879 0.17119295 +16449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.076056638 0.17119295 +16454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.698116515 0.17119295 +16455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.010519105 0.17119295 +16456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.406794596 0.17119295 +16458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.018350007 0.17119295 +16459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.396120454 0.17119295 +16457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.051206097 0.17119295 +16462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.249568143 0.17119295 +16460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.112850565 0.17119295 +16461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.157814543 0.17119295 +16463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.476224026 0.17119295 +16464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.002893653 0.17119295 +16465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.474269751 0.17119295 +16466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.529756028 0.17119295 +16469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.640088378 0.17119295 +16468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.144172948 0.17119295 +16470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.157336741 0.17119295 +16467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.487313238 0.17119295 +16472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.83499399 0.17119295 +16473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.552994495 0.17119295 +16471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.121793297 0.17119295 +16476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.712267264 0.17119295 +16475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.439160634 0.17119295 +16477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.371900073 0.17119295 +16474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.025305576 0.17119295 +16479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.087816024 0.17119295 +16480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.069672935 0.17119295 +16481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.760711949 0.17119295 +16478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.056262885 0.17119295 +16484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.067890273 0.17119295 +16482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.491899968 0.17119295 +16485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.287267814 0.17119295 +16483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.659986593 0.17119295 +16486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.096372137 0.17119295 +16487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.48703777 0.17119295 +16488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.156661113 0.17119295 +16491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.456389531 0.17119295 +16489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.412281503 0.17119295 +16493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.073284479 0.17119295 +16492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.63421981 0.17119295 +16490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.22137472 0.17119295 +16494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.522893323 0.17119295 +16495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.244232901 0.17119295 +16496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.340242721 0.17119295 +16497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.165993294 0.17119295 +16500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.504537194 0.17119295 +16501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.179612625 0.17119295 +16502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.243653728 0.17119295 +16498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.071924748 0.17119295 +16504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.349787938 0.17119295 +16499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.408488993 0.17119295 +16503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.257708153 0.17119295 +16505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.142138607 0.17119295 +16506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.781818969 0.17119295 +16507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.020593535 0.17119295 +16508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.326200161 0.17119295 +16510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.310110554 0.17119295 +16509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.519897744 0.17119295 +16511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.055805909 0.17119295 +16513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.785012403 0.17119295 +16514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.687016034 0.17119295 +16515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.260998848 0.17119295 +16512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.374057708 0.17119295 +16517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.341726442 0.17119295 +16520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.258870649 0.17119295 +16519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.06731233 0.17119295 +16521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.825956358 0.17119295 +16522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.291939849 0.17119295 +16518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.432804517 0.17119295 +16516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.031948501 0.17119295 +16523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.481084279 0.17119295 +16524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.432836062 0.17119295 +16525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.169304977 0.17119295 +16526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.100461028 0.17119295 +16528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.057715479 0.17119295 +16529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.310998392 0.17119295 +16530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.536271883 0.17119295 +16531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.005143467 0.17119295 +16527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.20653526 0.17119295 +16533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.684571234 0.17119295 +16532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.408934919 0.17119295 +16535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.082580217 0.17119295 +16534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.367609949 0.17119295 +16537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.499561366 0.17119295 +16538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.359110329 0.17119295 +16536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.609090231 0.17119295 +16539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.255821996 0.17119295 +16540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.257196197 0.17119295 +16541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.596604069 0.17119295 +16544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.161426963 0.17119295 +16543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.441758726 0.17119295 +16542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.077588223 0.17119295 +16545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.278936307 0.17119295 +16546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.148554049 0.17119295 +16547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.311923007 0.17119295 +16549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.788590277 0.17119295 +16548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.126006172 0.17119295 +16550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.763492075 0.17119295 +16551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.328583802 0.17119295 +16552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.786037139 0.17119295 +16555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.5852295 0.17119295 +16557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.457843315 0.17119295 +16553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.305155475 0.17119295 +16556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.093786347 0.17119295 +16554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.118905248 0.17119295 +16558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.778293917 0.17119295 +16560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.007753817 0.17119295 +16559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.670203185 0.17119295 +16561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.511429464 0.17119295 +16562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.732046843 0.17119295 +16563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.614354995 0.17119295 +16564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.134121466 0.17119295 +16566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.534758684 0.17119295 +16567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.562076157 0.17119295 +16568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.691711844 0.17119295 +16569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.007769629 0.17119295 +16565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.333476504 0.17119295 +16570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.389478759 0.17119295 +16571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.557108816 0.17119295 +16572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.654082107 0.17119295 +16574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.208325503 0.17119295 +16575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.040050368 0.17119295 +16573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.549182391 0.17119295 +16576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.395661214 0.17119295 +16578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.066580715 0.17119295 +16577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.377599162 0.17119295 +16579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.659183538 0.17119295 +16580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.311302933 0.17119295 +16581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.050474625 0.17119295 +16583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.332989549 0.17119295 +16584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.740469034 0.17119295 +16582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.583362574 0.17119295 +16585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.425064799 0.17119295 +16587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.114056809 0.17119295 +16588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.578199237 0.17119295 +16589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.585086196 0.17119295 +16586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.740291974 0.17119295 +16590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.063524672 0.17119295 +16592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.416033905 0.17119295 +16593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.654012328 0.17119295 +16591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.1258766 0.17119295 +16595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.066992695 0.17119295 +16594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.331309959 0.17119295 +16596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.125538209 0.17119295 +16597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.716893676 0.17119295 +16598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.600095649 0.17119295 +16600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.091719624 0.17119295 +16599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.318662637 0.17119295 +16601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.174348737 0.17119295 +16602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.557816594 0.17119295 +16603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.041151203 0.17119295 +16604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.300505258 0.17119295 +16606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.533853529 0.17119295 +16608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.286362495 0.17119295 +16609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.260597094 0.17119295 +16607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.702103457 0.17119295 +16605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.096185479 0.17119295 +16610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.7454807 0.17119295 +16611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.223165565 0.17119295 +16612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.028710972 0.17119295 +16613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.658373321 0.17119295 +16614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.578542117 0.17119295 +16616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.819356064 0.17119295 +16615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.521007858 0.17119295 +16619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.397582256 0.17119295 +16617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.119800008 0.17119295 +16618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.854213548 0.17119295 +16620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.379237206 0.17119295 +16621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.462825996 0.17119295 +16623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.222343223 0.17119295 +16624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.050363643 0.17119295 +16622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.052134978 0.17119295 +16625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.001354134 0.17119295 +16627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.253763458 0.17119295 +16629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.550398268 0.17119295 +16628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.119871038 0.17119295 +16626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.525321256 0.17119295 +16630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.006673366 0.17119295 +16631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.398544509 0.17119295 +16632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.481558407 0.17119295 +16633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.044744814 0.17119295 +16634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.600721274 0.17119295 +16636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.290844544 0.17119295 +16635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.37000087 0.17119295 +16637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.256911449 0.17119295 +16638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.178406209 0.17119295 +16639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.44368359 0.17119295 +16640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.650490783 0.17119295 +16641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.842018931 0.17119295 +16642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.210769494 0.17119295 +16644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.590612488 0.17119295 +16646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.017167855 0.17119295 +16647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.569480158 0.17119295 +16648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.710254726 0.17119295 +16643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.803468524 0.17119295 +16649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.55964329 0.17119295 +16650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.115012102 0.17119295 +16645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.566460542 0.17119295 +16652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.741129326 0.17119295 +16653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.326826609 0.17119295 +16651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.292673328 0.17119295 +16654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.284185833 0.17119295 +16655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.197091393 0.17119295 +16656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.61234776 0.17119295 +16657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.726228563 0.17119295 +16658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.367235115 0.17119295 +16659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.339268647 0.17119295 +16660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.115658124 0.17119295 +16661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.111341508 0.17119295 +16663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.573360059 0.17119295 +16662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.279556162 0.17119295 +16664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.635301253 0.17119295 +16665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.023473166 0.17119295 +16666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.417700979 0.17119295 +16667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.365921225 0.17119295 +16669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.132289034 0.17119295 +16668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.450354978 0.17119295 +16670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.07175355 0.17119295 +16671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.512309414 0.17119295 +16672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.489405713 0.17119295 +16673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.137159093 0.17119295 +16675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.082725112 0.17119295 +16676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.599218941 0.17119295 +16677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.288231636 0.17119295 +16674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.30567178 0.17119295 +16679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.423734041 0.17119295 +16678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.028581235 0.17119295 +16680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.008649028 0.17119295 +16681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.099378044 0.17119295 +16682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.379553298 0.17119295 +16684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.188871315 0.17119295 +16683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.13400953 0.17119295 +16685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.248528751 0.17119295 +16686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.137958561 0.17119295 +16687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.523806908 0.17119295 +16688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.256177518 0.17119295 +16689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.472660618 0.17119295 +16690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.094303301 0.17119295 +16691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.474157023 0.17119295 +16692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.367493867 0.17119295 +16694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.413668174 0.17119295 +16695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.793103771 0.17119295 +16693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.068531978 0.17119295 +16696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.601699354 0.17119295 +16697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.280281048 0.17119295 +16698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.620136981 0.17119295 +16699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.105547841 0.17119295 +16700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.686423985 0.17119295 +16701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.489229407 0.17119295 +16702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.002672423 0.17119295 +16703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.025890748 0.17119295 +16704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.187748695 0.17119295 +16705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.547136158 0.17119295 +16706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.413739886 0.17119295 +16708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.553849415 0.17119295 +16707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.788081074 0.17119295 +16709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.764970481 0.17119295 +16710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.24999414 0.17119295 +16712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.262680697 0.17119295 +16713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.060683193 0.17119295 +16711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.336187837 0.17119295 +16717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.487050784 0.17119295 +16714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.167556221 0.17119295 +16715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.622071842 0.17119295 +16716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.153264091 0.17119295 +16718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.310307571 0.17119295 +16719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.731246835 0.17119295 +16720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.46736262 0.17119295 +16721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.355998962 0.17119295 +16723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.285055712 0.17119295 +16725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.31132136 0.17119295 +16724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.430227707 0.17119295 +16722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.106903494 0.17119295 +16726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.443579129 0.17119295 +16728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.181459544 0.17119295 +16727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.3301687 0.17119295 +16730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.016256755 0.17119295 +16732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.514458268 0.17119295 +16731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.604467351 0.17119295 +16729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.229767638 0.17119295 +16733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.425335444 0.17119295 +16736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.097598271 0.17119295 +16734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.063753391 0.17119295 +16737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.489976692 0.17119295 +16735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.409155253 0.17119295 +16738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.450246099 0.17119295 +16739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.103562186 0.17119295 +16740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.575352587 0.17119295 +16741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.717718487 0.17119295 +16742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.242810942 0.17119295 +16745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.157997902 0.17119295 +16744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.131615996 0.17119295 +16743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.104277788 0.17119295 +16747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.054543951 0.17119295 +16746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.32933963 0.17119295 +16748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.159391146 0.17119295 +16749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.043795885 0.17119295 +16750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.603950834 0.17119295 +16752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.341235312 0.17119295 +16751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.755096331 0.17119295 +16753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.266439827 0.17119295 +16754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.145414311 0.17119295 +16755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.11998885 0.17119295 +16757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.315841222 0.17119295 +16758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.600351836 0.17119295 +16759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.619469763 0.17119295 +16760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.223503452 0.17119295 +16761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.302903801 0.17119295 +16762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.566849512 0.17119295 +16756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.377559224 0.17119295 +16763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.231066765 0.17119295 +16764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.243822426 0.17119295 +16767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.685562279 0.17119295 +16766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.332106235 0.17119295 +16765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.215305725 0.17119295 +16769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.365769977 0.17119295 +16768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.019968897 0.17119295 +16770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.346629927 0.17119295 +16771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.481691625 0.17119295 +16772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.561741361 0.17119295 +16774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.049843868 0.17119295 +16775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.242119281 0.17119295 +16776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.722681168 0.17119295 +16773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.634366941 0.17119295 +16777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.560491506 0.17119295 +16779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.617339038 0.17119295 +16780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.774938754 0.17119295 +16778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.429584666 0.17119295 +16781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.3520596 0.17119295 +16782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.049334559 0.17119295 +16784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.126886963 0.17119295 +16783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.385058679 0.17119295 +16785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.244338441 0.17119295 +16786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.548743716 0.17119295 +16787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.169800856 0.17119295 +16789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.809572417 0.17119295 +16790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.68128952 0.17119295 +16791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.700621086 0.17119295 +16792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.442304304 0.17119295 +16788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.023665838 0.17119295 +16794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.406522755 0.17119295 +16793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.18237041 0.17119295 +16795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.487648096 0.17119295 +16797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.606604922 0.17119295 +16796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.447746007 0.17119295 +16798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.191472035 0.17119295 +16799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.756537472 0.17119295 +16800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.829323519 0.17119295 +16801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.294869689 0.17119295 +16802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.566308436 0.17119295 +16803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.098534204 0.17119295 +16805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.270008863 0.17119295 +16806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.385393904 0.17119295 +16804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.716602683 0.17119295 +16807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.074210237 0.17119295 +16809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.034577316 0.17119295 +16808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.033587346 0.17119295 +16811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.38923525 0.17119295 +16812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.143345978 0.17119295 +16810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.763018239 0.17119295 +16813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.692552782 0.17119295 +16814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.320357848 0.17119295 +16815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.378193524 0.17119295 +16817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.53056585 0.17119295 +16819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.104238297 0.17119295 +16816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.592877314 0.17119295 +16818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.819091318 0.17119295 +16821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.019350273 0.17119295 +16820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.402344076 0.17119295 +16822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.1732358 0.17119295 +16823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.810269409 0.17119295 +16826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.052906756 0.17119295 +16825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.111815838 0.17119295 +16827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.435456987 0.17119295 +16824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.117272595 0.17119295 +16829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.483076961 0.17119295 +16828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.10638649 0.17119295 +16830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.36736918 0.17119295 +16831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.007395245 0.17119295 +16832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.394095012 0.17119295 +16834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.315736906 0.17119295 +16836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.106188388 0.17119295 +16833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.330556359 0.17119295 +16835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.440920125 0.17119295 +16838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.060855165 0.17119295 +16837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.150201034 0.17119295 +16839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.449903151 0.17119295 +16840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.319742509 0.17119295 +16842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.048493719 0.17119295 +16843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.037689599 0.17119295 +16841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.603956818 0.17119295 +16847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.268387372 0.17119295 +16846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.367203735 0.17119295 +16845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.348972885 0.17119295 +16844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.324236413 0.17119295 +16848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.595709491 0.17119295 +16850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.493856706 0.17119295 +16851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.734333753 0.17119295 +16852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.657201095 0.17119295 +16854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.580344268 0.17119295 +16853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.076803543 0.17119295 +16849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.323455939 0.17119295 +16855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.500049001 0.17119295 +16857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.037268414 0.17119295 +16858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.50167276 0.17119295 +16859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.896319508 0.17119295 +16861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.511946164 0.17119295 +16856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.05681211 0.17119295 +16860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.573841253 0.17119295 +16862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.049258857 0.17119295 +16864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.001179817 0.17119295 +16863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.831090769 0.17119295 +16865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.717340976 0.17119295 +16866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.338531438 0.17119295 +16867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.284959045 0.17119295 +16868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.031924582 0.17119295 +16869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.760961658 0.17119295 +16870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.021566674 0.17119295 +16871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.279228079 0.17119295 +16873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.359243406 0.17119295 +16874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.302209368 0.17119295 +16875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.517730756 0.17119295 +16872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.307896796 0.17119295 +16876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.393981086 0.17119295 +16877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.766161563 0.17119295 +16878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.176917522 0.17119295 +16879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.666475033 0.17119295 +16880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.59222004 0.17119295 +16881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.133922668 0.17119295 +16883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.001270431 0.17119295 +16884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.466042267 0.17119295 +16882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.551991129 0.17119295 +16885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.036404129 0.17119295 +16886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.272459772 0.17119295 +16887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.412149834 0.17119295 +16888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.23122884 0.17119295 +16889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.308515428 0.17119295 +16890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.515351894 0.17119295 +16891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.439236512 0.17119295 +16892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.357849292 0.17119295 +16893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.073693302 0.17119295 +16896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.410784234 0.17119295 +16895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.542287288 0.17119295 +16894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.637906085 0.17119295 +16897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.787657978 0.17119295 +16900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.351232564 0.17119295 +16898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.141498077 0.17119295 +16901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.432767314 0.17119295 +16899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.236490792 0.17119295 +16903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.795096129 0.17119295 +16902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.124629728 0.17119295 +16904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.690386742 0.17119295 +16905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.213935233 0.17119295 +16906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.776549609 0.17119295 +16908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.446013206 0.17119295 +16909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.001566854 0.17119295 +16911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.044281218 0.17119295 +16913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.304721129 0.17119295 +16907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.45722201 0.17119295 +16910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.580052253 0.17119295 +16912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.035384623 0.17119295 +16915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.756001099 0.17119295 +16914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.461522743 0.17119295 +16916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.456873447 0.17119295 +16917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.278712145 0.17119295 +16918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.455719483 0.17119295 +16919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.061874112 0.17119295 +16921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.139081255 0.17119295 +16920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.258485889 0.17119295 +16923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.020035328 0.17119295 +16922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.109446898 0.17119295 +16924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.522225562 0.17119295 +16925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.753057871 0.17119295 +16926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.394703345 0.17119295 +16928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.030456904 0.17119295 +16929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.220199563 0.17119295 +16930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.519923943 0.17119295 +16931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.301728337 0.17119295 +16932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.806394656 0.17119295 +16933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.248402633 0.17119295 +16934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.086751158 0.17119295 +16927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.722752732 0.17119295 +16936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.394983322 0.17119295 +16935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.053263318 0.17119295 +16938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.043153 0.17119295 +16939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.269300335 0.17119295 +16937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.770356071 0.17119295 +16940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.452321102 0.17119295 +16942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.764695286 0.17119295 +16943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.67447916 0.17119295 +16941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.671574219 0.17119295 +16944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.823162224 0.17119295 +16946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.277377705 0.17119295 +16947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.017834443 0.17119295 +16945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.275879201 0.17119295 +16948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.007199599 0.17119295 +16952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 9.08E-06 0.17119295 +16950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.027075113 0.17119295 +16951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.202052534 0.17119295 +16949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.439873406 0.17119295 +16954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.178214265 0.17119295 +16955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.544439102 0.17119295 +16956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.045352995 0.17119295 +16953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.005751346 0.17119295 +16958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.151129355 0.17119295 +16957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.435357225 0.17119295 +16959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.157550623 0.17119295 +16960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.418028827 0.17119295 +16961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.594343766 0.17119295 +16963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.557830805 0.17119295 +16962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.391612594 0.17119295 +16964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.018898839 0.17119295 +16966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.693793276 0.17119295 +16965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.283003625 0.17119295 +16967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.849372636 0.17119295 +16970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.399669095 0.17119295 +16971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.258728292 0.17119295 +16969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.332505637 0.17119295 +16973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.40561543 0.17119295 +16972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.559722456 0.17119295 +16974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.446449823 0.17119295 +16975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.628779742 0.17119295 +16968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.550090954 0.17119295 +16976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.933474683 0.17119295 +16978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.312624405 0.17119295 +16977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.131005645 0.17119295 +16979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.524942787 0.17119295 +16980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.024181655 0.17119295 +16981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.523102736 0.17119295 +16982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.588069831 0.17119295 +16983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.146394328 0.17119295 +16985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.480725845 0.17119295 +16984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.741261678 0.17119295 +16986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.289665393 0.17119295 +16987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.04067108 0.17119295 +16988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.266750864 0.17119295 +16990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.431681236 0.17119295 +16989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.614643488 0.17119295 +16992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.767593648 0.17119295 +16993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.096578166 0.17119295 +16994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.454071659 0.17119295 +16995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.363059857 0.17119295 +16997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.369871877 0.17119295 +16991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.647940512 0.17119295 +16998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.473723792 0.17119295 +16996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 0.134913155 0.17119295 +16999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.177218381 0.17119295 +17000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.2 10 1 -0.338884881 0.17119295 +17001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.604842029 0.342052267 +17002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.196971921 0.342052267 +17003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.106347183 0.342052267 +17004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.773347327 0.342052267 +17005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.669185095 0.342052267 +17006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.032296373 0.342052267 +17007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.308332323 0.342052267 +17008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.235434936 0.342052267 +17009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.299859881 0.342052267 +17010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.145145628 0.342052267 +17013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.6370153 0.342052267 +17012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.615130323 0.342052267 +17011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.489792588 0.342052267 +17014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.712759669 0.342052267 +17015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.348346113 0.342052267 +17017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.125966932 0.342052267 +17016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.062130251 0.342052267 +17018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.464792918 0.342052267 +17019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.719111168 0.342052267 +17020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.419103294 0.342052267 +17022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.281601927 0.342052267 +17021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.231802736 0.342052267 +17023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.461337809 0.342052267 +17024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.221232595 0.342052267 +17025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.483581593 0.342052267 +17026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.167957854 0.342052267 +17027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.651049721 0.342052267 +17028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.677950709 0.342052267 +17029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.085145574 0.342052267 +17030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.481938887 0.342052267 +17031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.550865904 0.342052267 +17032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.528233509 0.342052267 +17033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.271498363 0.342052267 +17035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.117826132 0.342052267 +17034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.620713654 0.342052267 +17036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.185008733 0.342052267 +17037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.28132336 0.342052267 +17039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.047315761 0.342052267 +17040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.442497298 0.342052267 +17041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.392310691 0.342052267 +17038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.49867621 0.342052267 +17042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.261277949 0.342052267 +17044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.175402525 0.342052267 +17043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.810496633 0.342052267 +17045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.597977337 0.342052267 +17046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.140190547 0.342052267 +17047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.760792014 0.342052267 +17048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.668481687 0.342052267 +17049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.158403466 0.342052267 +17050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.815653351 0.342052267 +17051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.214079796 0.342052267 +17052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.089392113 0.342052267 +17053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.227405413 0.342052267 +17054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.006198681 0.342052267 +17055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.345924037 0.342052267 +17056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.086238799 0.342052267 +17058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.050058886 0.342052267 +17059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.6870162 0.342052267 +17057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.244932904 0.342052267 +17060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.612673422 0.342052267 +17061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.066053955 0.342052267 +17063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.170402951 0.342052267 +17062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.221639038 0.342052267 +17064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.474719512 0.342052267 +17066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.734057187 0.342052267 +17068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.263722378 0.342052267 +17069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.46993784 0.342052267 +17067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.6256461 0.342052267 +17065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.60885933 0.342052267 +17071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.407938755 0.342052267 +17070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.064877073 0.342052267 +17072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.181728295 0.342052267 +17073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.840978087 0.342052267 +17074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.437960173 0.342052267 +17077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.008544807 0.342052267 +17075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.200573061 0.342052267 +17076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.782081196 0.342052267 +17078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.146427216 0.342052267 +17079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.502667086 0.342052267 +17080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.577674134 0.342052267 +17081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.445825164 0.342052267 +17082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.653697556 0.342052267 +17084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.798592211 0.342052267 +17083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.310625685 0.342052267 +17085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.297463227 0.342052267 +17086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.722752665 0.342052267 +17088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.20984797 0.342052267 +17087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.130123188 0.342052267 +17089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.201512937 0.342052267 +17090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.605461613 0.342052267 +17092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.330418947 0.342052267 +17091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.702778884 0.342052267 +17094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.059726713 0.342052267 +17093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.634609304 0.342052267 +17096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.226594726 0.342052267 +17095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.75257339 0.342052267 +17097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.58922287 0.342052267 +17098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.435935099 0.342052267 +17099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.119037713 0.342052267 +17100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.008815575 0.342052267 +17101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.700981858 0.342052267 +17103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.045354605 0.342052267 +17102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.772003964 0.342052267 +17105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.746873597 0.342052267 +17104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.084394887 0.342052267 +17106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.040473258 0.342052267 +17107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.063546179 0.342052267 +17108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.302573748 0.342052267 +17109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.045962285 0.342052267 +17110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.722428614 0.342052267 +17111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.624038843 0.342052267 +17112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.734209408 0.342052267 +17113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.083234245 0.342052267 +17114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.176643074 0.342052267 +17115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.112968507 0.342052267 +17116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.697912277 0.342052267 +17117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.340808477 0.342052267 +17120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.181835731 0.342052267 +17121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.13861422 0.342052267 +17118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.496185108 0.342052267 +17119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.863189981 0.342052267 +17122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.410537493 0.342052267 +17124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.58020156 0.342052267 +17123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.673842899 0.342052267 +17125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.044418374 0.342052267 +17126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.674885656 0.342052267 +17128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.758452273 0.342052267 +17127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.297741994 0.342052267 +17129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.817781179 0.342052267 +17130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.231918792 0.342052267 +17131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.299709269 0.342052267 +17132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.089220569 0.342052267 +17133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.722110315 0.342052267 +17134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.201392432 0.342052267 +17135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.592246876 0.342052267 +17136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.322201955 0.342052267 +17138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.504765644 0.342052267 +17139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.340721343 0.342052267 +17140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.465647831 0.342052267 +17141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.236875539 0.342052267 +17137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.366540885 0.342052267 +17142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.719716023 0.342052267 +17143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.54030279 0.342052267 +17144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.012470259 0.342052267 +17145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.258605177 0.342052267 +17146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.083352631 0.342052267 +17147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.268867396 0.342052267 +17149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.159725883 0.342052267 +17150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.632511894 0.342052267 +17148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.111716486 0.342052267 +17151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.22127199 0.342052267 +17152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.057251377 0.342052267 +17153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.088196872 0.342052267 +17154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.013169075 0.342052267 +17155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.250448314 0.342052267 +17156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.422951475 0.342052267 +17157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.29358264 0.342052267 +17158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.012876793 0.342052267 +17159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.827462099 0.342052267 +17160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.311804975 0.342052267 +17161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.592246969 0.342052267 +17162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.544038183 0.342052267 +17163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.465631841 0.342052267 +17165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.249160973 0.342052267 +17166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.657480501 0.342052267 +17164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.507019165 0.342052267 +17167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.820089151 0.342052267 +17168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.628507913 0.342052267 +17170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.549033579 0.342052267 +17169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.433088147 0.342052267 +17171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.321089403 0.342052267 +17173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.15453122 0.342052267 +17172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.499578691 0.342052267 +17174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.681137044 0.342052267 +17175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.786442135 0.342052267 +17176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.415375539 0.342052267 +17177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.589591983 0.342052267 +17178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.598729085 0.342052267 +17179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.120181474 0.342052267 +17181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.018076337 0.342052267 +17180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.077349128 0.342052267 +17183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.362524368 0.342052267 +17185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.506745066 0.342052267 +17184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.858569017 0.342052267 +17186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.010551572 0.342052267 +17182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.692225752 0.342052267 +17187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.067413505 0.342052267 +17189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.693819842 0.342052267 +17188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.687544921 0.342052267 +17192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.126127831 0.342052267 +17190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.457199457 0.342052267 +17191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.27778071 0.342052267 +17193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.157305519 0.342052267 +17194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.285043104 0.342052267 +17195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.024039988 0.342052267 +17197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.591544888 0.342052267 +17196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.328110472 0.342052267 +17198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.268559742 0.342052267 +17200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.041933078 0.342052267 +17199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.37320215 0.342052267 +17201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.54351529 0.342052267 +17203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.28519785 0.342052267 +17202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.663588002 0.342052267 +17205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.182237723 0.342052267 +17204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.055772175 0.342052267 +17207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.012232156 0.342052267 +17208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.122332434 0.342052267 +17206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.72186515 0.342052267 +17209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.508350815 0.342052267 +17210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.530384888 0.342052267 +17211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.356881002 0.342052267 +17212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.352696002 0.342052267 +17213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.210978355 0.342052267 +17214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.194908301 0.342052267 +17216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.070963427 0.342052267 +17215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.242571214 0.342052267 +17217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.455247063 0.342052267 +17218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.005947673 0.342052267 +17220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.01355818 0.342052267 +17221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.176923565 0.342052267 +17219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.575344228 0.342052267 +17223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.433634717 0.342052267 +17222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.077345177 0.342052267 +17224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.300745752 0.342052267 +17225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.569665562 0.342052267 +17226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.302689227 0.342052267 +17227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.541191755 0.342052267 +17228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.05481657 0.342052267 +17229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.00748228 0.342052267 +17231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.084778952 0.342052267 +17230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.779686749 0.342052267 +17233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.178519051 0.342052267 +17232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.653863771 0.342052267 +17234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.095644535 0.342052267 +17235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.01257068 0.342052267 +17236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.481969863 0.342052267 +17238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.385210211 0.342052267 +17239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.351100877 0.342052267 +17237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.204567915 0.342052267 +17240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.40098105 0.342052267 +17241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.064704511 0.342052267 +17242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.543930127 0.342052267 +17243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.585656265 0.342052267 +17244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.726822567 0.342052267 +17246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.500848786 0.342052267 +17245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.128416566 0.342052267 +17248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.241414679 0.342052267 +17247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.034288174 0.342052267 +17249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.274154404 0.342052267 +17250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.506055631 0.342052267 +17251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.30525827 0.342052267 +17252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.718093963 0.342052267 +17253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.503122285 0.342052267 +17254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.472448324 0.342052267 +17255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.507972831 0.342052267 +17258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.667359596 0.342052267 +17257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.165326701 0.342052267 +17256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.22432225 0.342052267 +17259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.157785765 0.342052267 +17260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.577255324 0.342052267 +17262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.392475198 0.342052267 +17261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.220421997 0.342052267 +17263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.632436297 0.342052267 +17264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.761690109 0.342052267 +17265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.434398452 0.342052267 +17267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.508587569 0.342052267 +17266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.642751264 0.342052267 +17268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.39331121 0.342052267 +17269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.629250416 0.342052267 +17270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.389999196 0.342052267 +17271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.263373122 0.342052267 +17273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.628546352 0.342052267 +17272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.53808995 0.342052267 +17274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.382947006 0.342052267 +17275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.362211285 0.342052267 +17276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.545217847 0.342052267 +17277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.153477353 0.342052267 +17278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.204931586 0.342052267 +17279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.096843136 0.342052267 +17281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.354198325 0.342052267 +17280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.638025498 0.342052267 +17282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.3932068 0.342052267 +17284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.130667405 0.342052267 +17283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.419010738 0.342052267 +17286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.574177495 0.342052267 +17285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.539502828 0.342052267 +17287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.012457282 0.342052267 +17288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.365546571 0.342052267 +17289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.309663408 0.342052267 +17290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.102555691 0.342052267 +17291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.191500315 0.342052267 +17293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.175047038 0.342052267 +17292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.569370586 0.342052267 +17294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.547683796 0.342052267 +17295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.013419741 0.342052267 +17296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.150756982 0.342052267 +17297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.286096709 0.342052267 +17298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.469113794 0.342052267 +17299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.700608751 0.342052267 +17300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.355512576 0.342052267 +17302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.432935299 0.342052267 +17303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.761743731 0.342052267 +17304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.636788264 0.342052267 +17305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.712623407 0.342052267 +17301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.53059307 0.342052267 +17306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.098180663 0.342052267 +17307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.490940695 0.342052267 +17308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.38219198 0.342052267 +17309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.107617066 0.342052267 +17310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.376956925 0.342052267 +17311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.09994829 0.342052267 +17312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.388958963 0.342052267 +17313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.452873475 0.342052267 +17314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.426882564 0.342052267 +17316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.169565803 0.342052267 +17315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.243106085 0.342052267 +17317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.206895503 0.342052267 +17318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.707636454 0.342052267 +17319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.078895271 0.342052267 +17320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.144108406 0.342052267 +17323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.553310619 0.342052267 +17321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.602911485 0.342052267 +17322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.492609261 0.342052267 +17324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.187444589 0.342052267 +17325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.359898305 0.342052267 +17326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.108123622 0.342052267 +17327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.384562563 0.342052267 +17328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.143866335 0.342052267 +17329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.587881907 0.342052267 +17331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.013855926 0.342052267 +17332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.44070894 0.342052267 +17330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.162439622 0.342052267 +17333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.555970376 0.342052267 +17334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.468182838 0.342052267 +17336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.506947978 0.342052267 +17335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.188889527 0.342052267 +17337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.322234064 0.342052267 +17338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.325848152 0.342052267 +17339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.857471237 0.342052267 +17340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.372079431 0.342052267 +17341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.829812828 0.342052267 +17342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.045159688 0.342052267 +17343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.61814701 0.342052267 +17344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.802835364 0.342052267 +17345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.018070685 0.342052267 +17346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.045605489 0.342052267 +17347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.752226603 0.342052267 +17349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.48407967 0.342052267 +17348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.6664503 0.342052267 +17350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.164125967 0.342052267 +17351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.616728174 0.342052267 +17352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.767743722 0.342052267 +17353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.684197438 0.342052267 +17354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.27736654 0.342052267 +17355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.64468117 0.342052267 +17356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.339831918 0.342052267 +17358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.001575623 0.342052267 +17357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.390881003 0.342052267 +17359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.008488906 0.342052267 +17360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.082438057 0.342052267 +17362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.373049645 0.342052267 +17361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.036782305 0.342052267 +17363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.122400819 0.342052267 +17364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.070801235 0.342052267 +17365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.003510784 0.342052267 +17366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -2.43E-04 0.342052267 +17367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.274227174 0.342052267 +17368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.367226003 0.342052267 +17369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.281176383 0.342052267 +17371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.484917023 0.342052267 +17370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.29617434 0.342052267 +17372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.294332544 0.342052267 +17373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.213797527 0.342052267 +17375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.627354479 0.342052267 +17376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.153061673 0.342052267 +17378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.554569584 0.342052267 +17377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.635379899 0.342052267 +17374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.362648236 0.342052267 +17379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.235061007 0.342052267 +17380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.265552538 0.342052267 +17381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.610105197 0.342052267 +17382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.312532473 0.342052267 +17383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.490713824 0.342052267 +17384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.043731959 0.342052267 +17385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.084672865 0.342052267 +17387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.054523177 0.342052267 +17388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.522535323 0.342052267 +17386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.594907703 0.342052267 +17389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.328477222 0.342052267 +17390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.10427867 0.342052267 +17391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.644041609 0.342052267 +17392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.402717069 0.342052267 +17393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.397212304 0.342052267 +17394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.362229944 0.342052267 +17395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.73955114 0.342052267 +17396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.520073029 0.342052267 +17397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.566609742 0.342052267 +17399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.690794523 0.342052267 +17401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.513832788 0.342052267 +17402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.284343535 0.342052267 +17398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.190308753 0.342052267 +17400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.477776634 0.342052267 +17403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.480479977 0.342052267 +17405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.172996136 0.342052267 +17404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.094720822 0.342052267 +17406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.087187975 0.342052267 +17409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.776343438 0.342052267 +17408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.649070414 0.342052267 +17407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.04760334 0.342052267 +17411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.813744811 0.342052267 +17410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.73404152 0.342052267 +17412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.670689231 0.342052267 +17414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.760963112 0.342052267 +17415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.579076529 0.342052267 +17417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.573599144 0.342052267 +17416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.358866056 0.342052267 +17413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.648205468 0.342052267 +17418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.043906123 0.342052267 +17419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.058189224 0.342052267 +17420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.08968061 0.342052267 +17421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.702220407 0.342052267 +17422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.13546571 0.342052267 +17423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.787253861 0.342052267 +17424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.072880441 0.342052267 +17426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.554774506 0.342052267 +17427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.419508706 0.342052267 +17428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.608659594 0.342052267 +17431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.022236373 0.342052267 +17425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.34562703 0.342052267 +17430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.268396395 0.342052267 +17429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.315568117 0.342052267 +17433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.034376162 0.342052267 +17432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.312776459 0.342052267 +17434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.776998292 0.342052267 +17435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.24205319 0.342052267 +17436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.13505549 0.342052267 +17439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.444255878 0.342052267 +17438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.500861899 0.342052267 +17441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.116535806 0.342052267 +17437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.076566465 0.342052267 +17442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.330171385 0.342052267 +17443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.311924009 0.342052267 +17440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.192176916 0.342052267 +17444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.003837838 0.342052267 +17446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.652669542 0.342052267 +17447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.67831235 0.342052267 +17448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.456578454 0.342052267 +17449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.292132237 0.342052267 +17445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.273651441 0.342052267 +17450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.736974705 0.342052267 +17451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.516687332 0.342052267 +17452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.391942421 0.342052267 +17454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.241560636 0.342052267 +17453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.791809184 0.342052267 +17456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.56644499 0.342052267 +17455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.263102808 0.342052267 +17458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.220336386 0.342052267 +17457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.282955769 0.342052267 +17460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.131424334 0.342052267 +17459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.689181986 0.342052267 +17461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.502134051 0.342052267 +17462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.762118956 0.342052267 +17463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.157549813 0.342052267 +17465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.232222548 0.342052267 +17466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.496431869 0.342052267 +17464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.484560812 0.342052267 +17467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.563228179 0.342052267 +17468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.342543546 0.342052267 +17469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.400187574 0.342052267 +17470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.218423825 0.342052267 +17471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.438575002 0.342052267 +17472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.074538425 0.342052267 +17474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.066623297 0.342052267 +17476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.02879701 0.342052267 +17477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.064679315 0.342052267 +17475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.003937525 0.342052267 +17478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.410667654 0.342052267 +17479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.75610797 0.342052267 +17473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.553239581 0.342052267 +17480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.543252828 0.342052267 +17484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.616880757 0.342052267 +17483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.172663846 0.342052267 +17482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.639875435 0.342052267 +17481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.07761601 0.342052267 +17485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.318914218 0.342052267 +17487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.002716444 0.342052267 +17488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.734521471 0.342052267 +17490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.173407969 0.342052267 +17491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.747618385 0.342052267 +17486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.31203935 0.342052267 +17492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.463051017 0.342052267 +17489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.078782807 0.342052267 +17493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.223445072 0.342052267 +17495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.483416343 0.342052267 +17496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.636220788 0.342052267 +17498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.516432735 0.342052267 +17499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.59328941 0.342052267 +17500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.249193281 0.342052267 +17494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.580656177 0.342052267 +17501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.478279144 0.342052267 +17497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.628540892 0.342052267 +17502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.276730036 0.342052267 +17504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.796265568 0.342052267 +17506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.636743204 0.342052267 +17505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.807124036 0.342052267 +17507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.201844415 0.342052267 +17508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.138940836 0.342052267 +17503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.13193138 0.342052267 +17509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.256914335 0.342052267 +17510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.327705212 0.342052267 +17512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.636422618 0.342052267 +17514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.423607924 0.342052267 +17511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.274644849 0.342052267 +17515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.398700159 0.342052267 +17517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.485571706 0.342052267 +17518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.568448547 0.342052267 +17516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.731249361 0.342052267 +17519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.595441645 0.342052267 +17520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.320349618 0.342052267 +17521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.77781673 0.342052267 +17513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.707149943 0.342052267 +17522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.343619311 0.342052267 +17525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.499994035 0.342052267 +17524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.431833886 0.342052267 +17526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.509141285 0.342052267 +17523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.753730958 0.342052267 +17527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.080659274 0.342052267 +17528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.254344073 0.342052267 +17529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.634265464 0.342052267 +17530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.299645865 0.342052267 +17532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.176220574 0.342052267 +17531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.064164842 0.342052267 +17534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.761188823 0.342052267 +17535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.818901256 0.342052267 +17536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.700643296 0.342052267 +17533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.387387204 0.342052267 +17538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.199327024 0.342052267 +17539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.382901831 0.342052267 +17540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.211256629 0.342052267 +17537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.841051758 0.342052267 +17541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.727711378 0.342052267 +17542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.181275734 0.342052267 +17544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.316661257 0.342052267 +17543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.438349042 0.342052267 +17545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.7463871 0.342052267 +17547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.792099521 0.342052267 +17546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.219862344 0.342052267 +17548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.585179412 0.342052267 +17549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.613417329 0.342052267 +17550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.049380562 0.342052267 +17552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.450638197 0.342052267 +17553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.751426245 0.342052267 +17555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.262983535 0.342052267 +17554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.414669084 0.342052267 +17556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.274649238 0.342052267 +17558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.562118165 0.342052267 +17557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.810153108 0.342052267 +17551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.707735723 0.342052267 +17559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.089416634 0.342052267 +17560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.862888268 0.342052267 +17561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.719891795 0.342052267 +17562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.49024937 0.342052267 +17564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.309290493 0.342052267 +17566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.420536868 0.342052267 +17567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.278273563 0.342052267 +17565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.430686869 0.342052267 +17563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.343147338 0.342052267 +17569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.0282012 0.342052267 +17568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.757662729 0.342052267 +17571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.58426637 0.342052267 +17572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.819011683 0.342052267 +17573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.124874803 0.342052267 +17570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.527586024 0.342052267 +17574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.634172743 0.342052267 +17575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.88720719 0.342052267 +17576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.163379078 0.342052267 +17577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.236377177 0.342052267 +17579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.699026163 0.342052267 +17578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.381259062 0.342052267 +17580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.407396552 0.342052267 +17581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.72807609 0.342052267 +17582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.755061731 0.342052267 +17583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.13912746 0.342052267 +17585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.041485616 0.342052267 +17584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.614862437 0.342052267 +17587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.753560445 0.342052267 +17588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.390346869 0.342052267 +17589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.431443784 0.342052267 +17590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.401821493 0.342052267 +17586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.329227447 0.342052267 +17591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.507249053 0.342052267 +17593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.453380542 0.342052267 +17594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.248366766 0.342052267 +17595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.012653679 0.342052267 +17596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.015388038 0.342052267 +17592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.54241132 0.342052267 +17598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.662366711 0.342052267 +17597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.698248674 0.342052267 +17599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.584276972 0.342052267 +17600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.375360781 0.342052267 +17601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.421881792 0.342052267 +17603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.389863244 0.342052267 +17604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.54849126 0.342052267 +17602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.253589651 0.342052267 +17606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.830516934 0.342052267 +17608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.259562961 0.342052267 +17607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.166826321 0.342052267 +17605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.374346318 0.342052267 +17609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.180092046 0.342052267 +17611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.108396444 0.342052267 +17613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.10163335 0.342052267 +17612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.09065981 0.342052267 +17614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.61809701 0.342052267 +17615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.423194034 0.342052267 +17610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.661526165 0.342052267 +17616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.747490737 0.342052267 +17619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.828245352 0.342052267 +17617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.296722143 0.342052267 +17618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.197455738 0.342052267 +17621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.633838395 0.342052267 +17620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.01294558 0.342052267 +17622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.591180895 0.342052267 +17623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.344807608 0.342052267 +17625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.109664325 0.342052267 +17626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.49511382 0.342052267 +17624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.583308541 0.342052267 +17627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.379864713 0.342052267 +17628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.649393762 0.342052267 +17629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.554680372 0.342052267 +17630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.887566159 0.342052267 +17631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.06473536 0.342052267 +17633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.113072433 0.342052267 +17635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.771135563 0.342052267 +17632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.259373142 0.342052267 +17636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.488593297 0.342052267 +17637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.244194769 0.342052267 +17638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.283085636 0.342052267 +17634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.001908204 0.342052267 +17639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.50420339 0.342052267 +17641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.272368705 0.342052267 +17642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.489658916 0.342052267 +17643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.742313781 0.342052267 +17640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.059267272 0.342052267 +17646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.193728415 0.342052267 +17645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.369181775 0.342052267 +17644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.401353248 0.342052267 +17647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.300826832 0.342052267 +17649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.173163134 0.342052267 +17650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.647532204 0.342052267 +17648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.06317929 0.342052267 +17651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.135458441 0.342052267 +17652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.035711799 0.342052267 +17653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.15197339 0.342052267 +17654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.194691071 0.342052267 +17655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.190551144 0.342052267 +17657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.142738017 0.342052267 +17658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.007063674 0.342052267 +17660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.289814093 0.342052267 +17656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.37728386 0.342052267 +17659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.151579399 0.342052267 +17663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.259160368 0.342052267 +17662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.595609537 0.342052267 +17661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.233305685 0.342052267 +17664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.22100445 0.342052267 +17665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.161531847 0.342052267 +17667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.471764018 0.342052267 +17666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.5791036 0.342052267 +17668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.688110046 0.342052267 +17669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.039551582 0.342052267 +17670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.159009792 0.342052267 +17671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.615693355 0.342052267 +17672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.676870473 0.342052267 +17673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.343880653 0.342052267 +17674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.025155199 0.342052267 +17676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.214846581 0.342052267 +17675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.117329665 0.342052267 +17677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.519253762 0.342052267 +17680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.475530319 0.342052267 +17678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.722558664 0.342052267 +17681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.029970899 0.342052267 +17682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.55207253 0.342052267 +17679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.550228208 0.342052267 +17683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.197743909 0.342052267 +17684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.047716852 0.342052267 +17686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.18627837 0.342052267 +17688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.653488642 0.342052267 +17685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.618883987 0.342052267 +17689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.765603137 0.342052267 +17687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.521931985 0.342052267 +17691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.085650789 0.342052267 +17692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.361301203 0.342052267 +17690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.69942909 0.342052267 +17693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.024838325 0.342052267 +17694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.416091769 0.342052267 +17696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.636050337 0.342052267 +17697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.0169317 0.342052267 +17695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.312647305 0.342052267 +17699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.094338538 0.342052267 +17700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.175957248 0.342052267 +17698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.102971456 0.342052267 +17701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.631324819 0.342052267 +17702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.083100502 0.342052267 +17704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.17589993 0.342052267 +17703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.122819445 0.342052267 +17705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.568611382 0.342052267 +17706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.734713161 0.342052267 +17708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -6.75E-06 0.342052267 +17709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.048020804 0.342052267 +17707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.137314069 0.342052267 +17710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.182429342 0.342052267 +17715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.039429699 0.342052267 +17711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.278308714 0.342052267 +17712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.283599417 0.342052267 +17714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.030295544 0.342052267 +17713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.667023257 0.342052267 +17716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.083178287 0.342052267 +17718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.260527398 0.342052267 +17717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.098491787 0.342052267 +17720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.060743202 0.342052267 +17719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.365830251 0.342052267 +17721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.739196696 0.342052267 +17722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.822395554 0.342052267 +17724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.71249459 0.342052267 +17723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.249945805 0.342052267 +17725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.393569179 0.342052267 +17726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.562588383 0.342052267 +17728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.516340086 0.342052267 +17727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.293022988 0.342052267 +17729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.682716892 0.342052267 +17732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.189444937 0.342052267 +17733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.497660254 0.342052267 +17731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.519651332 0.342052267 +17734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.56441098 0.342052267 +17730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.75244647 0.342052267 +17736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.852142619 0.342052267 +17735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.300861084 0.342052267 +17737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.523590698 0.342052267 +17740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.613109451 0.342052267 +17739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.05604478 0.342052267 +17743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.680933067 0.342052267 +17741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.181304154 0.342052267 +17742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.338451107 0.342052267 +17744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.720174737 0.342052267 +17745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.112721528 0.342052267 +17738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.735281339 0.342052267 +17747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.267560141 0.342052267 +17746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.714953575 0.342052267 +17748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.745508851 0.342052267 +17749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.502458956 0.342052267 +17752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.771813409 0.342052267 +17753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.39048919 0.342052267 +17750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.074137382 0.342052267 +17754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.402065272 0.342052267 +17755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.235151904 0.342052267 +17756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.467738226 0.342052267 +17757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.815979345 0.342052267 +17758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.194262615 0.342052267 +17751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.254376562 0.342052267 +17760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.785608523 0.342052267 +17762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.560479499 0.342052267 +17761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.44623855 0.342052267 +17763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.61620064 0.342052267 +17759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.673444543 0.342052267 +17766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.649057296 0.342052267 +17765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.436341721 0.342052267 +17769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.590038536 0.342052267 +17764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.029523756 0.342052267 +17771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.478754371 0.342052267 +17768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.769776843 0.342052267 +17767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.571941291 0.342052267 +17770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.319602985 0.342052267 +17772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.196896975 0.342052267 +17773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.298844686 0.342052267 +17775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.275857312 0.342052267 +17777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.085771786 0.342052267 +17776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.34911117 0.342052267 +17774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.473680581 0.342052267 +17779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.493639441 0.342052267 +17778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.168090036 0.342052267 +17781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.055852792 0.342052267 +17780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.199774576 0.342052267 +17782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.50418838 0.342052267 +17785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.125325251 0.342052267 +17786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.078709787 0.342052267 +17783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.022514364 0.342052267 +17787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.04665872 0.342052267 +17784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.15570875 0.342052267 +17788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.471039067 0.342052267 +17789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.782146259 0.342052267 +17790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.468602663 0.342052267 +17791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.075817514 0.342052267 +17793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.509352609 0.342052267 +17792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.086823358 0.342052267 +17795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.883572555 0.342052267 +17796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.737248394 0.342052267 +17798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.037414627 0.342052267 +17799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.544327506 0.342052267 +17801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.502391444 0.342052267 +17800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.547605297 0.342052267 +17797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.101931625 0.342052267 +17802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.617059796 0.342052267 +17794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.725949827 0.342052267 +17803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.207598818 0.342052267 +17805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.412137185 0.342052267 +17808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.683358068 0.342052267 +17807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.440960903 0.342052267 +17804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.121891651 0.342052267 +17809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.07777792 0.342052267 +17810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.556823581 0.342052267 +17811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.513035616 0.342052267 +17806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.16449389 0.342052267 +17812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.700759382 0.342052267 +17813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.510491648 0.342052267 +17814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.190451322 0.342052267 +17815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.777910316 0.342052267 +17816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.556869561 0.342052267 +17819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.604849864 0.342052267 +17822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.004875471 0.342052267 +17821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.679111446 0.342052267 +17818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.528365908 0.342052267 +17823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.646603507 0.342052267 +17820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.237009779 0.342052267 +17817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.026214369 0.342052267 +17826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.399052216 0.342052267 +17827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.16458211 0.342052267 +17828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.716559223 0.342052267 +17830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.006925396 0.342052267 +17824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.45597006 0.342052267 +17831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.543588967 0.342052267 +17829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.631512747 0.342052267 +17825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.02651565 0.342052267 +17833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.014200458 0.342052267 +17834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.596098789 0.342052267 +17832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.530201464 0.342052267 +17836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.421152856 0.342052267 +17838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.760258378 0.342052267 +17835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.420592559 0.342052267 +17839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.382011287 0.342052267 +17840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.01909087 0.342052267 +17841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.046647421 0.342052267 +17842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.495795455 0.342052267 +17837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.314967524 0.342052267 +17843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.18922385 0.342052267 +17845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.309812057 0.342052267 +17846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.307832732 0.342052267 +17844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.393915052 0.342052267 +17847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.02864297 0.342052267 +17848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.751870592 0.342052267 +17849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.720797 0.342052267 +17850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.079838814 0.342052267 +17851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.136085921 0.342052267 +17852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.360032569 0.342052267 +17853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.061883854 0.342052267 +17854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.833971822 0.342052267 +17855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.66400797 0.342052267 +17858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.796083865 0.342052267 +17856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.508188924 0.342052267 +17860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.442186359 0.342052267 +17861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.096187214 0.342052267 +17862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.581884918 0.342052267 +17863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.521258483 0.342052267 +17857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.520813792 0.342052267 +17865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.100461361 0.342052267 +17859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.295495797 0.342052267 +17868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.330716426 0.342052267 +17864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.595958289 0.342052267 +17866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.162881568 0.342052267 +17869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.732134264 0.342052267 +17872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.525247681 0.342052267 +17871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.545212578 0.342052267 +17867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.307613683 0.342052267 +17870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.068807969 0.342052267 +17874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.173509464 0.342052267 +17873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.668387541 0.342052267 +17875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.844687824 0.342052267 +17876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.003515112 0.342052267 +17878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.554878784 0.342052267 +17877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.690503426 0.342052267 +17879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.007897592 0.342052267 +17881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.757588148 0.342052267 +17883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.652366443 0.342052267 +17880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.599568107 0.342052267 +17882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.425114638 0.342052267 +17884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.593787631 0.342052267 +17885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.509929067 0.342052267 +17886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.174218611 0.342052267 +17887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.002278994 0.342052267 +17891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.459916878 0.342052267 +17892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.59732431 0.342052267 +17888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.750948298 0.342052267 +17894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.288618283 0.342052267 +17893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.048043824 0.342052267 +17890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.211187434 0.342052267 +17889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.328092455 0.342052267 +17895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.324646525 0.342052267 +17897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.458818039 0.342052267 +17896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.64521762 0.342052267 +17898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.564300256 0.342052267 +17900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.076601063 0.342052267 +17899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.181748326 0.342052267 +17902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.218195242 0.342052267 +17901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.543348646 0.342052267 +17903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.620375635 0.342052267 +17904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.081307371 0.342052267 +17907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.478649661 0.342052267 +17906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.726827282 0.342052267 +17905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.118182983 0.342052267 +17908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.286303352 0.342052267 +17909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.365396334 0.342052267 +17911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.148221951 0.342052267 +17912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.218985065 0.342052267 +17910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.39427695 0.342052267 +17914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.21950961 0.342052267 +17915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.310240273 0.342052267 +17913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.125521071 0.342052267 +17917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.785324661 0.342052267 +17916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.503175539 0.342052267 +17918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.496426374 0.342052267 +17919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.007930826 0.342052267 +17923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.564916505 0.342052267 +17924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.127488562 0.342052267 +17920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.718752051 0.342052267 +17921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.411653603 0.342052267 +17925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.1180942 0.342052267 +17922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.354741495 0.342052267 +17926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.260124605 0.342052267 +17927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.773525669 0.342052267 +17928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.338436837 0.342052267 +17930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.156875204 0.342052267 +17931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.572286715 0.342052267 +17933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.010354853 0.342052267 +17932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.353807891 0.342052267 +17934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.157762437 0.342052267 +17935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.28919896 0.342052267 +17929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.259873959 0.342052267 +17936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.294131302 0.342052267 +17938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.016073952 0.342052267 +17937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.548515101 0.342052267 +17939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.377771157 0.342052267 +17940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.052764901 0.342052267 +17942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.035124994 0.342052267 +17941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.05600526 0.342052267 +17943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.215987914 0.342052267 +17944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.064433977 0.342052267 +17945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.221725971 0.342052267 +17950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.002462542 0.342052267 +17948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.519224353 0.342052267 +17946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.141291039 0.342052267 +17952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.429450524 0.342052267 +17951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.817458348 0.342052267 +17947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.156179489 0.342052267 +17949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.791316382 0.342052267 +17953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.305867453 0.342052267 +17954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.286583384 0.342052267 +17956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.046989766 0.342052267 +17955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.063204604 0.342052267 +17957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.613413708 0.342052267 +17958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.758871521 0.342052267 +17959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.819932025 0.342052267 +17960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.536327224 0.342052267 +17961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.616980269 0.342052267 +17962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.357290653 0.342052267 +17964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.388114358 0.342052267 +17966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.083910568 0.342052267 +17967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.326779079 0.342052267 +17968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.556907843 0.342052267 +17963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.617585066 0.342052267 +17965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.04852443 0.342052267 +17969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.032590473 0.342052267 +17970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.346401439 0.342052267 +17972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.343110564 0.342052267 +17971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.050403226 0.342052267 +17973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.31503642 0.342052267 +17974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.333960699 0.342052267 +17976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.36835915 0.342052267 +17975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.036068657 0.342052267 +17978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.082060229 0.342052267 +17981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.338634143 0.342052267 +17977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.665008476 0.342052267 +17979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.337647405 0.342052267 +17982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.769928921 0.342052267 +17980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.116088749 0.342052267 +17983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.349480228 0.342052267 +17985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.027126688 0.342052267 +17984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.140099013 0.342052267 +17986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.53780854 0.342052267 +17988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.241035394 0.342052267 +17989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.384133444 0.342052267 +17990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.485938733 0.342052267 +17987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.45008664 0.342052267 +17991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.500223684 0.342052267 +17993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.240072068 0.342052267 +17992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.333977495 0.342052267 +17996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.338289493 0.342052267 +17997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.214298546 0.342052267 +17995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.573227187 0.342052267 +17994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.317345531 0.342052267 +17999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.097505781 0.342052267 +17998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 0.772845325 0.342052267 +18000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.15 10 1 -0.025039164 0.342052267 +18001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.432321759 0.368614077 +18005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.638053695 0.368614077 +18003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.615862443 0.368614077 +18004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.594747698 0.368614077 +18006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.088645679 0.368614077 +18002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.528642692 0.368614077 +18007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.286255637 0.368614077 +18010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.236814467 0.368614077 +18011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.725398896 0.368614077 +18008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.054649174 0.368614077 +18012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.2872665 0.368614077 +18013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.727577279 0.368614077 +18009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.336425724 0.368614077 +18014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.710603219 0.368614077 +18017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.260938443 0.368614077 +18016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.086879521 0.368614077 +18018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.377772754 0.368614077 +18020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.629151681 0.368614077 +18015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.010826183 0.368614077 +18021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.041003514 0.368614077 +18022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.704408447 0.368614077 +18019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.431297865 0.368614077 +18023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.452392515 0.368614077 +18024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.214625246 0.368614077 +18025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.704824133 0.368614077 +18026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.497758843 0.368614077 +18027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.167292034 0.368614077 +18028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.683771112 0.368614077 +18030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.488612917 0.368614077 +18029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.550253517 0.368614077 +18031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.139148407 0.368614077 +18032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.351197144 0.368614077 +18033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.404108929 0.368614077 +18034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.830709438 0.368614077 +18037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.003096675 0.368614077 +18036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.540069996 0.368614077 +18035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.200408741 0.368614077 +18038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.756571709 0.368614077 +18039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.096269558 0.368614077 +18040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.518463459 0.368614077 +18042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.650112023 0.368614077 +18043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.177467473 0.368614077 +18041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.586603691 0.368614077 +18044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.834480243 0.368614077 +18045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.589155208 0.368614077 +18047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.789619062 0.368614077 +18049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.340301463 0.368614077 +18046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.403145753 0.368614077 +18050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.286940384 0.368614077 +18051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.244032749 0.368614077 +18052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.250397279 0.368614077 +18048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.211901039 0.368614077 +18053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.47336684 0.368614077 +18055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.120662915 0.368614077 +18057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.166299463 0.368614077 +18056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.039260682 0.368614077 +18058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.665650409 0.368614077 +18054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.264188311 0.368614077 +18060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.278452064 0.368614077 +18061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.334871771 0.368614077 +18059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.275253999 0.368614077 +18062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.553496579 0.368614077 +18063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.532946971 0.368614077 +18064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.234513444 0.368614077 +18066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.043682943 0.368614077 +18068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.041784925 0.368614077 +18065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.15568347 0.368614077 +18067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.710601542 0.368614077 +18069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.513220603 0.368614077 +18070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.249781588 0.368614077 +18071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.460564946 0.368614077 +18072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.63042681 0.368614077 +18074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.1884194 0.368614077 +18075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.720606356 0.368614077 +18073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.863570899 0.368614077 +18076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.345072121 0.368614077 +18077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.624834758 0.368614077 +18078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.488785367 0.368614077 +18079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.547877944 0.368614077 +18080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.233095413 0.368614077 +18081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.555721468 0.368614077 +18084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.164759923 0.368614077 +18083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.243532021 0.368614077 +18086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.462384371 0.368614077 +18082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.208473204 0.368614077 +18085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.008509983 0.368614077 +18087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.379976701 0.368614077 +18088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.375194434 0.368614077 +18089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.730592622 0.368614077 +18090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.243679429 0.368614077 +18093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.413163472 0.368614077 +18092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.087810806 0.368614077 +18094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.470718212 0.368614077 +18097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.745534829 0.368614077 +18096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.268774816 0.368614077 +18095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.257727884 0.368614077 +18091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.303513498 0.368614077 +18098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.012011845 0.368614077 +18099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.12312917 0.368614077 +18100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.099248281 0.368614077 +18101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.053381741 0.368614077 +18103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.470338876 0.368614077 +18102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.116553235 0.368614077 +18106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.706525088 0.368614077 +18104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.437665271 0.368614077 +18105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.744561157 0.368614077 +18108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.082539737 0.368614077 +18107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.457138931 0.368614077 +18109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.215571599 0.368614077 +18110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.424315399 0.368614077 +18111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.258365565 0.368614077 +18112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.409417882 0.368614077 +18113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.416460736 0.368614077 +18115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.021323578 0.368614077 +18117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.487202097 0.368614077 +18114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.53617144 0.368614077 +18116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.35110481 0.368614077 +18118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.234079918 0.368614077 +18120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.610969692 0.368614077 +18119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.430954132 0.368614077 +18122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.016099236 0.368614077 +18121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.014633695 0.368614077 +18124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.731047469 0.368614077 +18125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.051263844 0.368614077 +18126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.528287896 0.368614077 +18123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.68562692 0.368614077 +18127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.58830238 0.368614077 +18128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.424626532 0.368614077 +18130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.594572486 0.368614077 +18129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.279743157 0.368614077 +18132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.040204024 0.368614077 +18134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.517411127 0.368614077 +18133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.128545729 0.368614077 +18131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.537944726 0.368614077 +18135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.414872018 0.368614077 +18136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.583693076 0.368614077 +18139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.190004126 0.368614077 +18137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.013845986 0.368614077 +18138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.83530457 0.368614077 +18140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.741689002 0.368614077 +18141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.700400704 0.368614077 +18143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.399001322 0.368614077 +18142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.465614301 0.368614077 +18144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.864637364 0.368614077 +18146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.377139229 0.368614077 +18145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.444193064 0.368614077 +18147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.65830099 0.368614077 +18148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.675361994 0.368614077 +18149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.835603153 0.368614077 +18150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.096290473 0.368614077 +18153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.732126162 0.368614077 +18152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.397418918 0.368614077 +18151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.559049155 0.368614077 +18154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.404203947 0.368614077 +18155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.034813728 0.368614077 +18157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.668664854 0.368614077 +18156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.194457403 0.368614077 +18158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.754337008 0.368614077 +18159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.183446114 0.368614077 +18160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.598403647 0.368614077 +18163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.64575951 0.368614077 +18161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.187647426 0.368614077 +18162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.667850868 0.368614077 +18164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.018382331 0.368614077 +18165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.583989769 0.368614077 +18168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.478117632 0.368614077 +18167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.156067572 0.368614077 +18169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.134367366 0.368614077 +18171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.716099861 0.368614077 +18172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.03539843 0.368614077 +18166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.444095424 0.368614077 +18170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.669478065 0.368614077 +18173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.110142438 0.368614077 +18176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.178854 0.368614077 +18174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.601421898 0.368614077 +18177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.125881086 0.368614077 +18179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.613742428 0.368614077 +18178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.594784972 0.368614077 +18180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.214197639 0.368614077 +18175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.497722708 0.368614077 +18181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.667840802 0.368614077 +18182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.374106263 0.368614077 +18183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.058094439 0.368614077 +18186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.339877166 0.368614077 +18185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.785920665 0.368614077 +18184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.043321517 0.368614077 +18188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.195855195 0.368614077 +18189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.625066473 0.368614077 +18187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.08583805 0.368614077 +18190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.03215542 0.368614077 +18193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.658453258 0.368614077 +18191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.011864502 0.368614077 +18192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.557355124 0.368614077 +18194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.300804749 0.368614077 +18195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.623241547 0.368614077 +18196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.601506638 0.368614077 +18198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.516005308 0.368614077 +18199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.570163911 0.368614077 +18200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.024048054 0.368614077 +18197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.824847829 0.368614077 +18201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.496125516 0.368614077 +18203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.702500038 0.368614077 +18202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.156295955 0.368614077 +18204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.799740369 0.368614077 +18205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.385884297 0.368614077 +18209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.154246981 0.368614077 +18206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.594520656 0.368614077 +18207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.274566566 0.368614077 +18210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.6128018 0.368614077 +18208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.635349488 0.368614077 +18211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.548683549 0.368614077 +18212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.748947157 0.368614077 +18213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.031498527 0.368614077 +18215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.123373644 0.368614077 +18216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.803196804 0.368614077 +18217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.588429081 0.368614077 +18214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.481761026 0.368614077 +18218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.558191251 0.368614077 +18220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.066174006 0.368614077 +18219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.788420967 0.368614077 +18221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.684251908 0.368614077 +18223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.479687717 0.368614077 +18224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.832755134 0.368614077 +18225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.270234474 0.368614077 +18227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.01306234 0.368614077 +18226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.60643904 0.368614077 +18222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.649609523 0.368614077 +18229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.764021203 0.368614077 +18230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.550961831 0.368614077 +18231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.583223112 0.368614077 +18228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.373896588 0.368614077 +18232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.354110156 0.368614077 +18233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.494022354 0.368614077 +18235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.10192547 0.368614077 +18234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.045148674 0.368614077 +18236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.716240731 0.368614077 +18237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.671541098 0.368614077 +18239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.440232074 0.368614077 +18238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.757511042 0.368614077 +18240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.335819494 0.368614077 +18242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.476064097 0.368614077 +18241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.534926682 0.368614077 +18245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.34252983 0.368614077 +18244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.498692028 0.368614077 +18243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.586215981 0.368614077 +18247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.848192759 0.368614077 +18246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.098409073 0.368614077 +18248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.669442157 0.368614077 +18249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.388245964 0.368614077 +18250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.320210059 0.368614077 +18251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.061685987 0.368614077 +18252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.766439901 0.368614077 +18255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.306664623 0.368614077 +18253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.696249154 0.368614077 +18254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.800353905 0.368614077 +18257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.774225464 0.368614077 +18256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.793837153 0.368614077 +18258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.578142731 0.368614077 +18259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.020384946 0.368614077 +18260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.216739241 0.368614077 +18262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.371729617 0.368614077 +18261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.528496308 0.368614077 +18265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.04799664 0.368614077 +18264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.112793444 0.368614077 +18263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.519291196 0.368614077 +18266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.775950955 0.368614077 +18267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.020347428 0.368614077 +18268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.665038058 0.368614077 +18269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.039704007 0.368614077 +18270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.515597764 0.368614077 +18272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.702823612 0.368614077 +18274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.370658015 0.368614077 +18271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.451065139 0.368614077 +18275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.326044949 0.368614077 +18273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.086905568 0.368614077 +18276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.739229612 0.368614077 +18277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.034592822 0.368614077 +18278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.824878837 0.368614077 +18281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.295906369 0.368614077 +18279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.588901765 0.368614077 +18280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.686234658 0.368614077 +18282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.273439735 0.368614077 +18285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.025320936 0.368614077 +18284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.760551528 0.368614077 +18283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.674572902 0.368614077 +18287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.299805376 0.368614077 +18289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.41239987 0.368614077 +18288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.066330523 0.368614077 +18286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.047076203 0.368614077 +18290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.705755759 0.368614077 +18291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.492056987 0.368614077 +18292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.239031616 0.368614077 +18293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.782145405 0.368614077 +18294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.369410803 0.368614077 +18295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.619524362 0.368614077 +18296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.684488141 0.368614077 +18297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.181327289 0.368614077 +18299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.248801483 0.368614077 +18298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.203916628 0.368614077 +18300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.252739451 0.368614077 +18302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.341245835 0.368614077 +18303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.046527439 0.368614077 +18304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.20918041 0.368614077 +18301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.42009935 0.368614077 +18306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.018383852 0.368614077 +18307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.288401562 0.368614077 +18305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.00965652 0.368614077 +18308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.163963239 0.368614077 +18310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.580894062 0.368614077 +18309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.624416874 0.368614077 +18311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.076425444 0.368614077 +18313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.804088876 0.368614077 +18312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.495477565 0.368614077 +18314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.467547119 0.368614077 +18315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.508715986 0.368614077 +18316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.712566319 0.368614077 +18318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.732761718 0.368614077 +18317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.794042903 0.368614077 +18319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.28900143 0.368614077 +18320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.797946134 0.368614077 +18322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.336999855 0.368614077 +18323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.626196178 0.368614077 +18324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.035755619 0.368614077 +18326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.64658509 0.368614077 +18325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.239160953 0.368614077 +18321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.783522935 0.368614077 +18327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.651962011 0.368614077 +18328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.054118065 0.368614077 +18329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.651654281 0.368614077 +18331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.46385425 0.368614077 +18332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.513690737 0.368614077 +18335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.254051297 0.368614077 +18334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.616827954 0.368614077 +18333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.812640026 0.368614077 +18336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.295226474 0.368614077 +18337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.762487774 0.368614077 +18338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.604301053 0.368614077 +18330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.330931022 0.368614077 +18339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.422468145 0.368614077 +18342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.623703443 0.368614077 +18341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.334329096 0.368614077 +18343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.036191305 0.368614077 +18344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.052353289 0.368614077 +18340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.275890496 0.368614077 +18345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.434284059 0.368614077 +18346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.013380697 0.368614077 +18347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.792860309 0.368614077 +18351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.210460055 0.368614077 +18350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.796362138 0.368614077 +18349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.723641134 0.368614077 +18352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.02759626 0.368614077 +18353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.092724167 0.368614077 +18354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.170854124 0.368614077 +18348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.286997264 0.368614077 +18355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.578064623 0.368614077 +18356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.163414913 0.368614077 +18357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.074857774 0.368614077 +18358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.358274189 0.368614077 +18359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.768074324 0.368614077 +18361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.339514391 0.368614077 +18360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.165781296 0.368614077 +18362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.089411113 0.368614077 +18363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.01158989 0.368614077 +18364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.75050723 0.368614077 +18365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.004894948 0.368614077 +18367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.165170039 0.368614077 +18368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.696543819 0.368614077 +18369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.2421714 0.368614077 +18370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.543690457 0.368614077 +18371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.681649545 0.368614077 +18372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.519291955 0.368614077 +18373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.071865452 0.368614077 +18366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.604841723 0.368614077 +18374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.069318646 0.368614077 +18376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.660700164 0.368614077 +18375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.612304518 0.368614077 +18379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.820511604 0.368614077 +18377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.082998343 0.368614077 +18380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.448498662 0.368614077 +18382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.023464572 0.368614077 +18381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.700799563 0.368614077 +18378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.340861683 0.368614077 +18383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.292925986 0.368614077 +18385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.109710435 0.368614077 +18387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.056971025 0.368614077 +18386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.218634904 0.368614077 +18384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.451027071 0.368614077 +18389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.28977545 0.368614077 +18388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.043036357 0.368614077 +18390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.513798272 0.368614077 +18391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.078091278 0.368614077 +18392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.362483143 0.368614077 +18393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.020350487 0.368614077 +18394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.762094183 0.368614077 +18396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.829957416 0.368614077 +18395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.211331096 0.368614077 +18397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.821559309 0.368614077 +18399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.157167154 0.368614077 +18398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.175026836 0.368614077 +18400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.58733361 0.368614077 +18401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.437416011 0.368614077 +18402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.095794884 0.368614077 +18404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.020849426 0.368614077 +18403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.073800782 0.368614077 +18406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.507828003 0.368614077 +18407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.619932964 0.368614077 +18408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.600494537 0.368614077 +18409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.073468472 0.368614077 +18410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.290400566 0.368614077 +18412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.099916311 0.368614077 +18411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.679953471 0.368614077 +18413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.21039003 0.368614077 +18414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.044876151 0.368614077 +18415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.741440449 0.368614077 +18416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.294749499 0.368614077 +18405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.130560124 0.368614077 +18417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.324665846 0.368614077 +18418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.369852074 0.368614077 +18419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.603266589 0.368614077 +18421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.651455085 0.368614077 +18422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.138309368 0.368614077 +18423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.240552602 0.368614077 +18420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.589363121 0.368614077 +18424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.272522086 0.368614077 +18425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.036290095 0.368614077 +18426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.021764586 0.368614077 +18427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.352955584 0.368614077 +18428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.571441614 0.368614077 +18430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.316874801 0.368614077 +18429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.245405864 0.368614077 +18431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.3220753 0.368614077 +18433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.132687214 0.368614077 +18434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.344745995 0.368614077 +18435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.657803782 0.368614077 +18436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.225730748 0.368614077 +18437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.399062228 0.368614077 +18438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.515296926 0.368614077 +18432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.022542875 0.368614077 +18439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.662122636 0.368614077 +18440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.431339173 0.368614077 +18442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.212389517 0.368614077 +18444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.476629205 0.368614077 +18445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.087977269 0.368614077 +18443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.170830296 0.368614077 +18441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.252653781 0.368614077 +18447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.613566349 0.368614077 +18446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.539089579 0.368614077 +18448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.069911907 0.368614077 +18449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.739699218 0.368614077 +18453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.628774888 0.368614077 +18452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.202739377 0.368614077 +18451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.645673441 0.368614077 +18450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.78242412 0.368614077 +18454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.541323687 0.368614077 +18455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.165891616 0.368614077 +18456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.443057232 0.368614077 +18457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.76063856 0.368614077 +18458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.025299001 0.368614077 +18459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.734804994 0.368614077 +18460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.637481719 0.368614077 +18461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.072260633 0.368614077 +18462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.152182959 0.368614077 +18464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.312263982 0.368614077 +18465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.418961303 0.368614077 +18463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.680362236 0.368614077 +18466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.717930949 0.368614077 +18467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.045531586 0.368614077 +18469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.643463752 0.368614077 +18468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.675946519 0.368614077 +18470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.02819197 0.368614077 +18472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.336004268 0.368614077 +18471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.219567691 0.368614077 +18473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.499181558 0.368614077 +18475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.035484246 0.368614077 +18474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.11800006 0.368614077 +18476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.506708748 0.368614077 +18477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.354430369 0.368614077 +18479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.320338621 0.368614077 +18478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.642194276 0.368614077 +18480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.257507533 0.368614077 +18482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.048539265 0.368614077 +18484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.2789289 0.368614077 +18481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.512347045 0.368614077 +18485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.693674784 0.368614077 +18487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.758542056 0.368614077 +18486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.311087593 0.368614077 +18483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.307933399 0.368614077 +18488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.473217272 0.368614077 +18489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.183435077 0.368614077 +18490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.118367394 0.368614077 +18491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.542872853 0.368614077 +18492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.477231701 0.368614077 +18495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.346200975 0.368614077 +18493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.407499825 0.368614077 +18494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.292361705 0.368614077 +18497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.163232697 0.368614077 +18498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.129967539 0.368614077 +18496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.10755681 0.368614077 +18500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.684863973 0.368614077 +18502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.022050036 0.368614077 +18503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.110168162 0.368614077 +18499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.207695041 0.368614077 +18504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.352972277 0.368614077 +18505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.542188471 0.368614077 +18506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.003659369 0.368614077 +18501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.761569282 0.368614077 +18507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.316005505 0.368614077 +18508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.804906419 0.368614077 +18509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.571317181 0.368614077 +18510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.220462189 0.368614077 +18511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.573224298 0.368614077 +18512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.515749263 0.368614077 +18513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.542815561 0.368614077 +18514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.427382464 0.368614077 +18515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.102292623 0.368614077 +18516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.466967082 0.368614077 +18517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.514293414 0.368614077 +18520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.168286603 0.368614077 +18518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.544781898 0.368614077 +18521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.74557927 0.368614077 +18519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.141851655 0.368614077 +18522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.484891282 0.368614077 +18524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.231598454 0.368614077 +18523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.411983912 0.368614077 +18525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.837963256 0.368614077 +18528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.542162375 0.368614077 +18526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.544245073 0.368614077 +18527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.070875077 0.368614077 +18529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.701651608 0.368614077 +18530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.240122354 0.368614077 +18532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.598780574 0.368614077 +18533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.103330234 0.368614077 +18535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.306088429 0.368614077 +18531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.561013638 0.368614077 +18534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.191473512 0.368614077 +18537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.092868687 0.368614077 +18538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.665146755 0.368614077 +18536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.457790565 0.368614077 +18540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.593352053 0.368614077 +18539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.22474676 0.368614077 +18541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.170441504 0.368614077 +18543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.181866936 0.368614077 +18542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.315429793 0.368614077 +18544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.134335815 0.368614077 +18545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.227570342 0.368614077 +18547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.743465278 0.368614077 +18548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.004498179 0.368614077 +18549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.632781882 0.368614077 +18546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.10168576 0.368614077 +18551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.323672358 0.368614077 +18552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.188179267 0.368614077 +18553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.031967481 0.368614077 +18550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.816239665 0.368614077 +18555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.590756163 0.368614077 +18554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.31074261 0.368614077 +18556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.103225244 0.368614077 +18559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.349429451 0.368614077 +18557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.42548609 0.368614077 +18558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.021394547 0.368614077 +18561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.090112769 0.368614077 +18562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.275959974 0.368614077 +18560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.02918901 0.368614077 +18563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.394424523 0.368614077 +18564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.642810219 0.368614077 +18565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.695849636 0.368614077 +18567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.640444778 0.368614077 +18568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.331586786 0.368614077 +18569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.239669112 0.368614077 +18570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.110242809 0.368614077 +18571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.751781534 0.368614077 +18566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.150291783 0.368614077 +18572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.264972829 0.368614077 +18573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.614470662 0.368614077 +18576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.6981508 0.368614077 +18575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.697497089 0.368614077 +18574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.24580438 0.368614077 +18577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.316819199 0.368614077 +18579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.542584633 0.368614077 +18580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.523786261 0.368614077 +18581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.024376253 0.368614077 +18582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.289230847 0.368614077 +18584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.435290473 0.368614077 +18583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.38589431 0.368614077 +18585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.016325276 0.368614077 +18578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.683827493 0.368614077 +18587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.55022062 0.368614077 +18588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.770851437 0.368614077 +18586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.577643183 0.368614077 +18589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.350047946 0.368614077 +18593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.843487412 0.368614077 +18590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.108090255 0.368614077 +18592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.631495265 0.368614077 +18591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.635290075 0.368614077 +18594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.565550694 0.368614077 +18595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.101596009 0.368614077 +18596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.778346755 0.368614077 +18597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.721139885 0.368614077 +18600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.194068247 0.368614077 +18601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.394795823 0.368614077 +18602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.079233284 0.368614077 +18603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.681363017 0.368614077 +18598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.109328326 0.368614077 +18599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.575143314 0.368614077 +18605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.164473283 0.368614077 +18604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.439814883 0.368614077 +18607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.378631744 0.368614077 +18608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.539813186 0.368614077 +18609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.748519391 0.368614077 +18610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.517118827 0.368614077 +18611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.389967654 0.368614077 +18606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.094542028 0.368614077 +18612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.685330865 0.368614077 +18613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.001509223 0.368614077 +18615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.467872969 0.368614077 +18614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.466836656 0.368614077 +18616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.576275175 0.368614077 +18617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.484012173 0.368614077 +18618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.48401361 0.368614077 +18619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.46846398 0.368614077 +18620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.595511 0.368614077 +18623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.710165983 0.368614077 +18624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.128494005 0.368614077 +18622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.566457422 0.368614077 +18621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.029156754 0.368614077 +18626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.250046936 0.368614077 +18627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.634493735 0.368614077 +18628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.045962983 0.368614077 +18625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.285789023 0.368614077 +18629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.763942589 0.368614077 +18630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.350574426 0.368614077 +18631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.583518798 0.368614077 +18632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.176115588 0.368614077 +18634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.003837044 0.368614077 +18635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.048818339 0.368614077 +18633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.017081165 0.368614077 +18636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.004663926 0.368614077 +18638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.457075133 0.368614077 +18637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.589185448 0.368614077 +18639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.611184184 0.368614077 +18640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.473856825 0.368614077 +18641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.592314557 0.368614077 +18642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.274877968 0.368614077 +18643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.427626686 0.368614077 +18644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.008670466 0.368614077 +18646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.095801231 0.368614077 +18647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.182148576 0.368614077 +18645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.732818719 0.368614077 +18649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.035914991 0.368614077 +18651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.647783509 0.368614077 +18652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.55628025 0.368614077 +18650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.67861717 0.368614077 +18653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.079213543 0.368614077 +18655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.581251333 0.368614077 +18654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.216602525 0.368614077 +18648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.600627832 0.368614077 +18656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.563005591 0.368614077 +18658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.113253644 0.368614077 +18659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.687887968 0.368614077 +18657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.44409057 0.368614077 +18660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.245492186 0.368614077 +18661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.169967247 0.368614077 +18662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.804764769 0.368614077 +18663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.782941246 0.368614077 +18664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.16586842 0.368614077 +18667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.354703672 0.368614077 +18666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.347062945 0.368614077 +18668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.478990806 0.368614077 +18670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.422817146 0.368614077 +18665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.544823958 0.368614077 +18669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.523827691 0.368614077 +18672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.777782489 0.368614077 +18674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.740740446 0.368614077 +18673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.616866151 0.368614077 +18675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.610238235 0.368614077 +18676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.168542486 0.368614077 +18671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.009067426 0.368614077 +18677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.629584836 0.368614077 +18678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.169534364 0.368614077 +18679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.131162402 0.368614077 +18680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.078293658 0.368614077 +18681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.350817861 0.368614077 +18683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.512943585 0.368614077 +18682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.251482023 0.368614077 +18684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.185655726 0.368614077 +18685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.432188037 0.368614077 +18687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.027008383 0.368614077 +18686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.381741087 0.368614077 +18689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.39541862 0.368614077 +18688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.102247107 0.368614077 +18690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.769962069 0.368614077 +18691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.187660483 0.368614077 +18693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.002614185 0.368614077 +18694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.156474349 0.368614077 +18695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.480545531 0.368614077 +18692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.026953624 0.368614077 +18697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.843880901 0.368614077 +18698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.072245337 0.368614077 +18699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.61304996 0.368614077 +18696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.491926378 0.368614077 +18700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.154370076 0.368614077 +18702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.142558965 0.368614077 +18701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.246635398 0.368614077 +18704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.532032484 0.368614077 +18705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.126906864 0.368614077 +18703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.656374234 0.368614077 +18706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.181904316 0.368614077 +18707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.803267572 0.368614077 +18709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.028436389 0.368614077 +18708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.217590369 0.368614077 +18711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.310924737 0.368614077 +18714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.565558147 0.368614077 +18712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.412608094 0.368614077 +18713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.842286266 0.368614077 +18715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.069818177 0.368614077 +18717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.320651823 0.368614077 +18716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.192595047 0.368614077 +18718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.609114986 0.368614077 +18719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.109368398 0.368614077 +18720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.726505816 0.368614077 +18710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.315599433 0.368614077 +18721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.115329567 0.368614077 +18724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.366806965 0.368614077 +18722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.306526799 0.368614077 +18726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.327580837 0.368614077 +18723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.09024971 0.368614077 +18725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.128649709 0.368614077 +18728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.58097014 0.368614077 +18727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.09723116 0.368614077 +18729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.651035177 0.368614077 +18730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.189721146 0.368614077 +18731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.296569141 0.368614077 +18732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.692036782 0.368614077 +18733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.698599485 0.368614077 +18734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.772991103 0.368614077 +18736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.106514793 0.368614077 +18735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.055265419 0.368614077 +18738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.685178465 0.368614077 +18737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.131716087 0.368614077 +18739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.009801634 0.368614077 +18740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.5553871 0.368614077 +18744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.134224084 0.368614077 +18741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.019614061 0.368614077 +18742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.056751807 0.368614077 +18745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.453886116 0.368614077 +18743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.073616731 0.368614077 +18746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.864386403 0.368614077 +18747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.566653271 0.368614077 +18748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.36772133 0.368614077 +18750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.130571207 0.368614077 +18751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.782908525 0.368614077 +18752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.12547977 0.368614077 +18753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.153886474 0.368614077 +18749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.30505675 0.368614077 +18755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.021827656 0.368614077 +18757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.380760043 0.368614077 +18758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.573651322 0.368614077 +18756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.001055552 0.368614077 +18760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.058299122 0.368614077 +18759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.706993057 0.368614077 +18754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.790495264 0.368614077 +18761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.150035588 0.368614077 +18762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.136701278 0.368614077 +18766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.247048559 0.368614077 +18764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.174000808 0.368614077 +18769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.341752599 0.368614077 +18763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.118736051 0.368614077 +18765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.104575223 0.368614077 +18767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.580545413 0.368614077 +18770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.339848381 0.368614077 +18768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.713292516 0.368614077 +18772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.011159858 0.368614077 +18774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.351518473 0.368614077 +18776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.336595981 0.368614077 +18771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.204880695 0.368614077 +18777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.159931859 0.368614077 +18778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.125665269 0.368614077 +18775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.264566513 0.368614077 +18773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.748279959 0.368614077 +18779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.259416181 0.368614077 +18782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.769390396 0.368614077 +18781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.631987564 0.368614077 +18783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.174989021 0.368614077 +18780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.606268372 0.368614077 +18785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.280016676 0.368614077 +18786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.457343429 0.368614077 +18784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.163278236 0.368614077 +18787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.030732024 0.368614077 +18788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.278747544 0.368614077 +18790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.152794004 0.368614077 +18791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.042288207 0.368614077 +18789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.063689726 0.368614077 +18792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.807246692 0.368614077 +18794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.409026136 0.368614077 +18796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.284091068 0.368614077 +18798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.173344824 0.368614077 +18797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.205241101 0.368614077 +18793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.147917019 0.368614077 +18795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.648074183 0.368614077 +18800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.528525302 0.368614077 +18799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.781918826 0.368614077 +18801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.138458962 0.368614077 +18802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.402673996 0.368614077 +18804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.68726091 0.368614077 +18805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.757475592 0.368614077 +18806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.623004719 0.368614077 +18808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.78583314 0.368614077 +18809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.816300554 0.368614077 +18803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.01959465 0.368614077 +18810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.642076935 0.368614077 +18811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.491292239 0.368614077 +18812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.564056286 0.368614077 +18813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.143429297 0.368614077 +18814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.709953183 0.368614077 +18807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.33129681 0.368614077 +18816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.538009114 0.368614077 +18817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.62109259 0.368614077 +18818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.639823508 0.368614077 +18815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.110407733 0.368614077 +18819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.325601397 0.368614077 +18820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.30601387 0.368614077 +18822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.15084146 0.368614077 +18821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.58106272 0.368614077 +18826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.321930653 0.368614077 +18827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.191196639 0.368614077 +18824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.786623829 0.368614077 +18825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.022084202 0.368614077 +18823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.116924508 0.368614077 +18828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.250523386 0.368614077 +18830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.705562635 0.368614077 +18831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.058341304 0.368614077 +18833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.631391969 0.368614077 +18835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.064344426 0.368614077 +18834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.228174353 0.368614077 +18832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.472697263 0.368614077 +18829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.503028043 0.368614077 +18836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.75877792 0.368614077 +18837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.394724341 0.368614077 +18838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.434227452 0.368614077 +18840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.183963336 0.368614077 +18842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.043180293 0.368614077 +18839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.688070403 0.368614077 +18841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.580593103 0.368614077 +18843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.225242933 0.368614077 +18844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.612586109 0.368614077 +18845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.442968701 0.368614077 +18849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.027532655 0.368614077 +18850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.225735065 0.368614077 +18847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.612063976 0.368614077 +18846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.570776553 0.368614077 +18848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.680282872 0.368614077 +18853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.022054854 0.368614077 +18856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.643543661 0.368614077 +18855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.073892781 0.368614077 +18852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.467278032 0.368614077 +18851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.241358732 0.368614077 +18857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.777958117 0.368614077 +18854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.53920606 0.368614077 +18858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.207431671 0.368614077 +18859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.033456024 0.368614077 +18861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.68138319 0.368614077 +18862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.621438416 0.368614077 +18865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.286579814 0.368614077 +18866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.710403976 0.368614077 +18864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.271180139 0.368614077 +18860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.246008663 0.368614077 +18863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.354607446 0.368614077 +18867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.642831024 0.368614077 +18868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.550737866 0.368614077 +18869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.001534594 0.368614077 +18870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.734427972 0.368614077 +18873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.785249308 0.368614077 +18872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.654371147 0.368614077 +18871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.630842577 0.368614077 +18876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.309660321 0.368614077 +18875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.397083556 0.368614077 +18874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.562040836 0.368614077 +18877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.398980018 0.368614077 +18879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.32006655 0.368614077 +18878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.488347568 0.368614077 +18881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.487088303 0.368614077 +18880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.310400365 0.368614077 +18882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.359893206 0.368614077 +18883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.422561884 0.368614077 +18884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.336654315 0.368614077 +18887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.37778403 0.368614077 +18888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.024333888 0.368614077 +18889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.011840077 0.368614077 +18886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.373918546 0.368614077 +18890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.015516668 0.368614077 +18885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.405686827 0.368614077 +18891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.054965715 0.368614077 +18895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.339978256 0.368614077 +18894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.773203031 0.368614077 +18896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.847712126 0.368614077 +18892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.114641688 0.368614077 +18893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.382415229 0.368614077 +18897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.332187412 0.368614077 +18898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.734444783 0.368614077 +18899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.907800072 0.368614077 +18900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.655432863 0.368614077 +18901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.213570207 0.368614077 +18902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.771110908 0.368614077 +18903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.013155669 0.368614077 +18904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.022724403 0.368614077 +18905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.247928148 0.368614077 +18907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.201754749 0.368614077 +18909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.773627522 0.368614077 +18906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.204219144 0.368614077 +18911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.513502358 0.368614077 +18912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.053203166 0.368614077 +18913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.50555219 0.368614077 +18908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.449859788 0.368614077 +18914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.094305248 0.368614077 +18910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.705776887 0.368614077 +18915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.059887491 0.368614077 +18916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.735823568 0.368614077 +18917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.292512417 0.368614077 +18920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.13244901 0.368614077 +18918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.769186022 0.368614077 +18919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.211952835 0.368614077 +18921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.390693926 0.368614077 +18922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.292884759 0.368614077 +18923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.351522946 0.368614077 +18926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.732417385 0.368614077 +18928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.064089935 0.368614077 +18927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.311405046 0.368614077 +18925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.30341317 0.368614077 +18929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.044672918 0.368614077 +18924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.137092214 0.368614077 +18931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.381689179 0.368614077 +18930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.566867687 0.368614077 +18934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.253990302 0.368614077 +18933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.306685413 0.368614077 +18935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.833044253 0.368614077 +18932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.005082827 0.368614077 +18937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.369321869 0.368614077 +18936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.33451189 0.368614077 +18939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.025031834 0.368614077 +18940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.155457945 0.368614077 +18941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.043438326 0.368614077 +18942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.484470619 0.368614077 +18943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.165098713 0.368614077 +18938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.621493112 0.368614077 +18945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.806110313 0.368614077 +18946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.439988903 0.368614077 +18947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.007279082 0.368614077 +18944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.380405024 0.368614077 +18949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.104354601 0.368614077 +18948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.711598023 0.368614077 +18951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.080766731 0.368614077 +18950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.049094995 0.368614077 +18952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.103714925 0.368614077 +18953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.587504864 0.368614077 +18955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.367128648 0.368614077 +18956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.410196609 0.368614077 +18954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.256241214 0.368614077 +18957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.463200355 0.368614077 +18959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.460134278 0.368614077 +18958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.651668948 0.368614077 +18960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.179701695 0.368614077 +18965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.284184606 0.368614077 +18961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.072107145 0.368614077 +18964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.51005809 0.368614077 +18963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.022643813 0.368614077 +18967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.508352303 0.368614077 +18962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.596761699 0.368614077 +18968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.064229204 0.368614077 +18966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.21877864 0.368614077 +18969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.337186951 0.368614077 +18972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.31989726 0.368614077 +18970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.002584068 0.368614077 +18973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.338414209 0.368614077 +18971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.766468551 0.368614077 +18974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.32307755 0.368614077 +18975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.07948949 0.368614077 +18976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.051466411 0.368614077 +18978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.737554639 0.368614077 +18977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.047104365 0.368614077 +18979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.37444463 0.368614077 +18981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.560531591 0.368614077 +18980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.03466317 0.368614077 +18982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.677111199 0.368614077 +18986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.052329988 0.368614077 +18985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.737193637 0.368614077 +18984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.03623745 0.368614077 +18983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.28915869 0.368614077 +18987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.277469215 0.368614077 +18989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.503543157 0.368614077 +18988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.646283651 0.368614077 +18990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.896983851 0.368614077 +18992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.784944929 0.368614077 +18991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.55156595 0.368614077 +18994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.108827426 0.368614077 +18993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.21789655 0.368614077 +18995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.516975043 0.368614077 +18997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 -0.011269997 0.368614077 +18996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.473185364 0.368614077 +19000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.127648837 0.368614077 +18999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.458702824 0.368614077 +18998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.1 10 1 0.134331053 0.368614077 +19001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.333917046 0.271142837 +19002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.101693956 0.271142837 +19003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.86121625 0.271142837 +19005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.492059034 0.271142837 +19004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.170076308 0.271142837 +19006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.181877231 0.271142837 +19007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.865211572 0.271142837 +19009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.415258679 0.271142837 +19008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.1688257 0.271142837 +19010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.69099743 0.271142837 +19011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.21638532 0.271142837 +19012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.388884077 0.271142837 +19013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.503016399 0.271142837 +19014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.368209076 0.271142837 +19016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.194169374 0.271142837 +19017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.61871789 0.271142837 +19018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.427003155 0.271142837 +19015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.064191617 0.271142837 +19020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.157171589 0.271142837 +19021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.450623236 0.271142837 +19022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.454774289 0.271142837 +19019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.83304393 0.271142837 +19024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.489761886 0.271142837 +19023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.834630924 0.271142837 +19025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.26273956 0.271142837 +19026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.076710142 0.271142837 +19027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.057616922 0.271142837 +19028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.024139037 0.271142837 +19029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.469393284 0.271142837 +19030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.686781386 0.271142837 +19032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.617927873 0.271142837 +19033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.203606668 0.271142837 +19031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.022333655 0.271142837 +19035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.70920625 0.271142837 +19034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.011997292 0.271142837 +19036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.697402374 0.271142837 +19040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.64098366 0.271142837 +19039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.533225887 0.271142837 +19037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.10616405 0.271142837 +19038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.015045303 0.271142837 +19041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.401803858 0.271142837 +19042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.227686156 0.271142837 +19043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.364865886 0.271142837 +19044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.190834605 0.271142837 +19045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.236772735 0.271142837 +19047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.776688206 0.271142837 +19046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.674715677 0.271142837 +19051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.757426582 0.271142837 +19050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.308152099 0.271142837 +19052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.672823324 0.271142837 +19049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.028030944 0.271142837 +19053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.189051262 0.271142837 +19048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.497157719 0.271142837 +19054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.104554321 0.271142837 +19055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.729997921 0.271142837 +19056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.183680328 0.271142837 +19057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.260839382 0.271142837 +19058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.144829759 0.271142837 +19059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.619901874 0.271142837 +19061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.226663493 0.271142837 +19060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.784237726 0.271142837 +19062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.532442976 0.271142837 +19064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.712838715 0.271142837 +19065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.617267049 0.271142837 +19066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.478590089 0.271142837 +19063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.371995231 0.271142837 +19069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.228582985 0.271142837 +19067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.235505282 0.271142837 +19068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.608946876 0.271142837 +19071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.553852062 0.271142837 +19072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.559357097 0.271142837 +19073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.743007684 0.271142837 +19070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.864699254 0.271142837 +19074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.187264153 0.271142837 +19075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.667585325 0.271142837 +19078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.656588019 0.271142837 +19080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.037876138 0.271142837 +19077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.029647815 0.271142837 +19079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.061993562 0.271142837 +19081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.411577775 0.271142837 +19082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.027626266 0.271142837 +19076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.358553672 0.271142837 +19083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.529947762 0.271142837 +19087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.585715055 0.271142837 +19086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.353026983 0.271142837 +19084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.207313881 0.271142837 +19088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.203848797 0.271142837 +19090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.302204629 0.271142837 +19089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.239031522 0.271142837 +19091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.353034128 0.271142837 +19085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.205624511 0.271142837 +19092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.735695187 0.271142837 +19094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.393882991 0.271142837 +19095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.474852854 0.271142837 +19097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.209301814 0.271142837 +19098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.08825887 0.271142837 +19096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.047214767 0.271142837 +19093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.053008782 0.271142837 +19099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.302316701 0.271142837 +19100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.706602727 0.271142837 +19101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.021357921 0.271142837 +19105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.36396861 0.271142837 +19104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.604492703 0.271142837 +19106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.501477755 0.271142837 +19107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.05651134 0.271142837 +19108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.764524079 0.271142837 +19102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.420928527 0.271142837 +19103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.041243128 0.271142837 +19109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.580366264 0.271142837 +19110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.288834379 0.271142837 +19111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.070119979 0.271142837 +19112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.021650222 0.271142837 +19113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.614865864 0.271142837 +19114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.198786626 0.271142837 +19117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.715874683 0.271142837 +19116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.518611293 0.271142837 +19115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.355583591 0.271142837 +19119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.750110948 0.271142837 +19120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.631761081 0.271142837 +19121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.710796618 0.271142837 +19122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.774276541 0.271142837 +19123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.778820181 0.271142837 +19125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.661213 0.271142837 +19118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.12018567 0.271142837 +19126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.025088576 0.271142837 +19128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.83733227 0.271142837 +19129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.285659862 0.271142837 +19124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.543862583 0.271142837 +19130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.168826201 0.271142837 +19132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.180453517 0.271142837 +19127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.31879744 0.271142837 +19131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.467641693 0.271142837 +19133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.011540859 0.271142837 +19135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.172335237 0.271142837 +19136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.523141292 0.271142837 +19137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.623850685 0.271142837 +19139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.449882738 0.271142837 +19138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.197680023 0.271142837 +19140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.613566885 0.271142837 +19134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.21926352 0.271142837 +19142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.186032675 0.271142837 +19143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.469719404 0.271142837 +19144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.647894539 0.271142837 +19141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.523815232 0.271142837 +19145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.069553034 0.271142837 +19146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.032480332 0.271142837 +19148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.838383208 0.271142837 +19149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.304865269 0.271142837 +19147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.023398817 0.271142837 +19151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.074657729 0.271142837 +19152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.137007081 0.271142837 +19154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.01125817 0.271142837 +19150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.380732782 0.271142837 +19156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.001403267 0.271142837 +19153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.611310775 0.271142837 +19155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.080848202 0.271142837 +19158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.226809941 0.271142837 +19157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.542454207 0.271142837 +19159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.340046667 0.271142837 +19161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.220251265 0.271142837 +19163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.223265982 0.271142837 +19162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.02753561 0.271142837 +19164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.576000733 0.271142837 +19160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.304135072 0.271142837 +19165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.088432384 0.271142837 +19166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.503116506 0.271142837 +19167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.09917344 0.271142837 +19169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.5709133 0.271142837 +19172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.675384911 0.271142837 +19171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.016576554 0.271142837 +19173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.750816012 0.271142837 +19170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.59240327 0.271142837 +19175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.73452618 0.271142837 +19174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.452389618 0.271142837 +19176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.505447716 0.271142837 +19168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.141659734 0.271142837 +19178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.571589082 0.271142837 +19179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.562390987 0.271142837 +19180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.205836993 0.271142837 +19181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.603170384 0.271142837 +19182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.597166996 0.271142837 +19183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.648387154 0.271142837 +19177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.618926931 0.271142837 +19184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.852413134 0.271142837 +19185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.260176941 0.271142837 +19187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.370123742 0.271142837 +19186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.032780903 0.271142837 +19188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.890516979 0.271142837 +19190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.056082329 0.271142837 +19189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.235459178 0.271142837 +19191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.225598685 0.271142837 +19196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.02246528 0.271142837 +19195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.367978007 0.271142837 +19194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.007252093 0.271142837 +19192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.395154216 0.271142837 +19198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.197531369 0.271142837 +19197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.430818677 0.271142837 +19199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.155536949 0.271142837 +19193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.358265033 0.271142837 +19202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.816948897 0.271142837 +19200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.592545653 0.271142837 +19201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.459547958 0.271142837 +19203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.036921164 0.271142837 +19204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.015390697 0.271142837 +19205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.740104438 0.271142837 +19207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.122007084 0.271142837 +19210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.566568616 0.271142837 +19209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.567542035 0.271142837 +19206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.344577972 0.271142837 +19208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.571409161 0.271142837 +19213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.586878 0.271142837 +19214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.295945008 0.271142837 +19212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.330135998 0.271142837 +19217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.557288779 0.271142837 +19215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.090236332 0.271142837 +19218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.075743387 0.271142837 +19216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.650012503 0.271142837 +19219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.068906704 0.271142837 +19221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.2911129 0.271142837 +19211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.63131034 0.271142837 +19220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.290438311 0.271142837 +19224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.235376606 0.271142837 +19225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.571811742 0.271142837 +19222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.252593125 0.271142837 +19223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.636007628 0.271142837 +19226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.649964369 0.271142837 +19229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.504571008 0.271142837 +19227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.679323973 0.271142837 +19228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.544987379 0.271142837 +19232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.674109607 0.271142837 +19231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.58602786 0.271142837 +19233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.147375911 0.271142837 +19230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.294594329 0.271142837 +19234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.055101602 0.271142837 +19235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.629898522 0.271142837 +19236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.002406739 0.271142837 +19239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.817059721 0.271142837 +19238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.212651554 0.271142837 +19240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.599260867 0.271142837 +19237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.713411542 0.271142837 +19241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.179636639 0.271142837 +19242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.769962325 0.271142837 +19243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.206226997 0.271142837 +19244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.043330245 0.271142837 +19245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.620773372 0.271142837 +19249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.676337205 0.271142837 +19247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.22321105 0.271142837 +19250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.090137664 0.271142837 +19251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.117434182 0.271142837 +19246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.594952871 0.271142837 +19252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.821287335 0.271142837 +19253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.554333344 0.271142837 +19248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.745223605 0.271142837 +19254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.34888508 0.271142837 +19255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.542924651 0.271142837 +19258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.700151885 0.271142837 +19259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.426760795 0.271142837 +19256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.332364179 0.271142837 +19260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.489259506 0.271142837 +19261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.638520178 0.271142837 +19263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.52203753 0.271142837 +19262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.487679372 0.271142837 +19257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.351559292 0.271142837 +19264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.408256772 0.271142837 +19268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.523774796 0.271142837 +19267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.718170462 0.271142837 +19265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.175177076 0.271142837 +19266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.664005677 0.271142837 +19270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.255564142 0.271142837 +19269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.484537765 0.271142837 +19271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.694883017 0.271142837 +19272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.787833331 0.271142837 +19274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.539772473 0.271142837 +19275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.701276143 0.271142837 +19277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.421791235 0.271142837 +19276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.019039389 0.271142837 +19278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.704764642 0.271142837 +19279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.678015225 0.271142837 +19280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.396659771 0.271142837 +19282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.503921105 0.271142837 +19281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.332433966 0.271142837 +19283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.01386524 0.271142837 +19273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.624577735 0.271142837 +19285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 1.56E-05 0.271142837 +19284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.764967254 0.271142837 +19286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.442735873 0.271142837 +19287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.057803123 0.271142837 +19289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.204196977 0.271142837 +19291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.114108991 0.271142837 +19290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.080378017 0.271142837 +19292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.490393127 0.271142837 +19293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.637947477 0.271142837 +19294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.52496851 0.271142837 +19295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.20126295 0.271142837 +19296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.682872755 0.271142837 +19299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.323237756 0.271142837 +19297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.002990091 0.271142837 +19298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.61380351 0.271142837 +19300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.099228078 0.271142837 +19288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.848155089 0.271142837 +19302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.638650567 0.271142837 +19301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.197593761 0.271142837 +19303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.165276606 0.271142837 +19304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.787534244 0.271142837 +19305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.787500698 0.271142837 +19306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.708274374 0.271142837 +19307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.115719709 0.271142837 +19309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.509832744 0.271142837 +19308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.706678035 0.271142837 +19310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.524904714 0.271142837 +19311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.245931646 0.271142837 +19312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.368969291 0.271142837 +19313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.144932722 0.271142837 +19314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.387163114 0.271142837 +19315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.272787308 0.271142837 +19316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.587156061 0.271142837 +19318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.268924458 0.271142837 +19317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.602485492 0.271142837 +19319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.268435462 0.271142837 +19321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.309247127 0.271142837 +19324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.16953098 0.271142837 +19323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.120527085 0.271142837 +19325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.107990948 0.271142837 +19322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.193059256 0.271142837 +19327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.400555451 0.271142837 +19326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.116149773 0.271142837 +19328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.334070668 0.271142837 +19329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.606957693 0.271142837 +19320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.144917161 0.271142837 +19330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.336087517 0.271142837 +19331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.316272459 0.271142837 +19332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.057084975 0.271142837 +19333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.278646995 0.271142837 +19335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.343861764 0.271142837 +19337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.12764725 0.271142837 +19334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.368602907 0.271142837 +19339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.556556355 0.271142837 +19340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.776489768 0.271142837 +19338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.017385748 0.271142837 +19341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.053788497 0.271142837 +19342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.114468624 0.271142837 +19336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.733642368 0.271142837 +19343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.225113902 0.271142837 +19346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.413922092 0.271142837 +19345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.607141605 0.271142837 +19347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.21218403 0.271142837 +19344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.19570089 0.271142837 +19348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.583983418 0.271142837 +19349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.372124082 0.271142837 +19351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.200858364 0.271142837 +19350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.309557362 0.271142837 +19353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.760676734 0.271142837 +19354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.015673556 0.271142837 +19356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.71329437 0.271142837 +19355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.006251905 0.271142837 +19357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.358648922 0.271142837 +19352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.23611498 0.271142837 +19358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.343661453 0.271142837 +19360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.585651781 0.271142837 +19362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.752730151 0.271142837 +19359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.798062923 0.271142837 +19361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.048458543 0.271142837 +19364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.541767231 0.271142837 +19363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.414788953 0.271142837 +19365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.14456216 0.271142837 +19366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.64308407 0.271142837 +19369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.216127495 0.271142837 +19368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.621983859 0.271142837 +19367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.060726178 0.271142837 +19370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.173549 0.271142837 +19371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.216337925 0.271142837 +19373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.635803917 0.271142837 +19375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.71308246 0.271142837 +19377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.546482798 0.271142837 +19372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.026291899 0.271142837 +19378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.123689338 0.271142837 +19376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.382011744 0.271142837 +19379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.044050849 0.271142837 +19380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.598286238 0.271142837 +19374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.40203652 0.271142837 +19381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.150376001 0.271142837 +19382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.70979954 0.271142837 +19384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.195797392 0.271142837 +19385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.888968075 0.271142837 +19383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.233556155 0.271142837 +19386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.228500481 0.271142837 +19389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.31229684 0.271142837 +19388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.208680953 0.271142837 +19390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.568529391 0.271142837 +19391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.637920116 0.271142837 +19392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.117076659 0.271142837 +19393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.38591593 0.271142837 +19394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.270671483 0.271142837 +19387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.440481075 0.271142837 +19395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.079446776 0.271142837 +19396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.516296449 0.271142837 +19397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.15878686 0.271142837 +19398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.598265187 0.271142837 +19400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.170039065 0.271142837 +19399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.250477258 0.271142837 +19401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.781220637 0.271142837 +19402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.194355752 0.271142837 +19403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.441782182 0.271142837 +19404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.55654258 0.271142837 +19405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.805171928 0.271142837 +19406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.193286177 0.271142837 +19408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.491792426 0.271142837 +19409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.412560285 0.271142837 +19407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.049098279 0.271142837 +19411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.429799847 0.271142837 +19410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.227432657 0.271142837 +19414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.188687287 0.271142837 +19413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.275588852 0.271142837 +19412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.136284151 0.271142837 +19416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.001166464 0.271142837 +19417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.451726157 0.271142837 +19415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.59478287 0.271142837 +19418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.374387382 0.271142837 +19420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.120026286 0.271142837 +19422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.332224248 0.271142837 +19421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.013377278 0.271142837 +19423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.360919552 0.271142837 +19419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.099364106 0.271142837 +19424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.560110063 0.271142837 +19425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.600014454 0.271142837 +19426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.015487222 0.271142837 +19427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.243842171 0.271142837 +19429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.179720395 0.271142837 +19430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.432501128 0.271142837 +19428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.110522646 0.271142837 +19432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.661881511 0.271142837 +19433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.831353868 0.271142837 +19434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.047038522 0.271142837 +19435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.428408578 0.271142837 +19431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.537384328 0.271142837 +19436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.768737094 0.271142837 +19437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.102026478 0.271142837 +19439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.154677092 0.271142837 +19438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.038959235 0.271142837 +19440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.459423925 0.271142837 +19441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.17809836 0.271142837 +19442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.280776695 0.271142837 +19444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.724710018 0.271142837 +19443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.448193993 0.271142837 +19445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.103971157 0.271142837 +19446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.648438234 0.271142837 +19449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.729520225 0.271142837 +19448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.184656609 0.271142837 +19450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.373239811 0.271142837 +19451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.185731028 0.271142837 +19447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.061327437 0.271142837 +19452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.80373337 0.271142837 +19453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.662933438 0.271142837 +19455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.787871876 0.271142837 +19454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.268952258 0.271142837 +19456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.540695564 0.271142837 +19457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.439390534 0.271142837 +19458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.211373647 0.271142837 +19459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.869926941 0.271142837 +19461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.251604099 0.271142837 +19463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.696948996 0.271142837 +19464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.166833402 0.271142837 +19462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.226323927 0.271142837 +19465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.127963058 0.271142837 +19466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.259775914 0.271142837 +19467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.409732563 0.271142837 +19468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.559020391 0.271142837 +19460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.480297579 0.271142837 +19470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.298420937 0.271142837 +19469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.021887801 0.271142837 +19471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.171951918 0.271142837 +19472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.271450492 0.271142837 +19473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.146300625 0.271142837 +19475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.573024186 0.271142837 +19476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.176296461 0.271142837 +19478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.722585083 0.271142837 +19480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.535985317 0.271142837 +19474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.289156675 0.271142837 +19477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.191245171 0.271142837 +19481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.158737281 0.271142837 +19479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.082054832 0.271142837 +19482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.239602817 0.271142837 +19484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.548167212 0.271142837 +19485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.466263089 0.271142837 +19486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.041783855 0.271142837 +19483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.806878152 0.271142837 +19488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.624053888 0.271142837 +19487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.240327694 0.271142837 +19489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.164286157 0.271142837 +19490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.012697833 0.271142837 +19492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.773514186 0.271142837 +19493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.339230849 0.271142837 +19491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.336157656 0.271142837 +19496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.197371601 0.271142837 +19495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.795728799 0.271142837 +19494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.293093937 0.271142837 +19497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.171985758 0.271142837 +19498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.714259533 0.271142837 +19499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.411414535 0.271142837 +19500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.383893055 0.271142837 +19501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.031346635 0.271142837 +19502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.54452488 0.271142837 +19503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.586004241 0.271142837 +19504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.944594446 0.271142837 +19505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.687339173 0.271142837 +19506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.759203561 0.271142837 +19507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.118958658 0.271142837 +19508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.251274014 0.271142837 +19509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.55565236 0.271142837 +19510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.251252342 0.271142837 +19511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.409189403 0.271142837 +19512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.802541557 0.271142837 +19513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.660664961 0.271142837 +19515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.409926446 0.271142837 +19514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.40718488 0.271142837 +19517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.577809296 0.271142837 +19518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.039709745 0.271142837 +19516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.064825727 0.271142837 +19519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.049191211 0.271142837 +19522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.226219095 0.271142837 +19521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.553958743 0.271142837 +19520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.423324004 0.271142837 +19523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.106838626 0.271142837 +19524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.717403982 0.271142837 +19525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.753179029 0.271142837 +19526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.906076975 0.271142837 +19527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.631956887 0.271142837 +19528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.645548883 0.271142837 +19530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.023731361 0.271142837 +19531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.405322271 0.271142837 +19529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.01733038 0.271142837 +19532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.368488223 0.271142837 +19535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.320219103 0.271142837 +19534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.180354272 0.271142837 +19533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.735381617 0.271142837 +19537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.103637361 0.271142837 +19536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.64985983 0.271142837 +19539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.755580941 0.271142837 +19540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.029511005 0.271142837 +19538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.836187842 0.271142837 +19541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.675167944 0.271142837 +19542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.089016339 0.271142837 +19543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.476411914 0.271142837 +19544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.047325203 0.271142837 +19547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.71954787 0.271142837 +19545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.849026828 0.271142837 +19549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.249394403 0.271142837 +19548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.071054969 0.271142837 +19546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.182710045 0.271142837 +19550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.747915608 0.271142837 +19551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.630619452 0.271142837 +19552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.09771871 0.271142837 +19553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.816153836 0.271142837 +19555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.441956443 0.271142837 +19556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.255931899 0.271142837 +19554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.055898374 0.271142837 +19558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.139015597 0.271142837 +19557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.406615243 0.271142837 +19560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.223611799 0.271142837 +19561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.778491072 0.271142837 +19559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.541207046 0.271142837 +19562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.333158111 0.271142837 +19563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.631378393 0.271142837 +19564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.623742568 0.271142837 +19565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.519013177 0.271142837 +19566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.729469242 0.271142837 +19567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.705353089 0.271142837 +19569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.219780097 0.271142837 +19568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.377028462 0.271142837 +19570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.643880136 0.271142837 +19571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.58887547 0.271142837 +19572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.639658329 0.271142837 +19573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.724495879 0.271142837 +19574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.294397162 0.271142837 +19575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.718251876 0.271142837 +19577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.014311878 0.271142837 +19576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.241115005 0.271142837 +19578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.073347948 0.271142837 +19579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.452769886 0.271142837 +19581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.490387782 0.271142837 +19580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.537921382 0.271142837 +19582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.518999919 0.271142837 +19583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.809942256 0.271142837 +19586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.032341753 0.271142837 +19585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.034252996 0.271142837 +19584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.388544045 0.271142837 +19587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.360190707 0.271142837 +19588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.479952795 0.271142837 +19589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.524824593 0.271142837 +19591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.649508083 0.271142837 +19592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.105786408 0.271142837 +19590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.067335953 0.271142837 +19594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.116475161 0.271142837 +19595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.652861596 0.271142837 +19597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.055215809 0.271142837 +19596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.780605612 0.271142837 +19593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.078290136 0.271142837 +19598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.716919648 0.271142837 +19601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.617473727 0.271142837 +19602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.017278317 0.271142837 +19603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.092222162 0.271142837 +19604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.670833696 0.271142837 +19600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.272112298 0.271142837 +19605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.825466278 0.271142837 +19606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.238408691 0.271142837 +19607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.15103376 0.271142837 +19599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.086301413 0.271142837 +19608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.746307018 0.271142837 +19609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.603718538 0.271142837 +19610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.187009697 0.271142837 +19612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.188850801 0.271142837 +19611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.397098765 0.271142837 +19613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.605005098 0.271142837 +19615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.614766475 0.271142837 +19614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.049614593 0.271142837 +19617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.255161437 0.271142837 +19618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.194208976 0.271142837 +19616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.021480615 0.271142837 +19619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.484872314 0.271142837 +19621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.012578004 0.271142837 +19622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.090537232 0.271142837 +19620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.704736631 0.271142837 +19624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.546428346 0.271142837 +19625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.710126278 0.271142837 +19626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.50569319 0.271142837 +19627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.30864939 0.271142837 +19623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.361922746 0.271142837 +19628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.037538497 0.271142837 +19630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.358236318 0.271142837 +19629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.573806032 0.271142837 +19632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.066951991 0.271142837 +19631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.438566913 0.271142837 +19633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.728437891 0.271142837 +19635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.098249225 0.271142837 +19634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.332756493 0.271142837 +19636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.308659553 0.271142837 +19638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.570771618 0.271142837 +19637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.358140386 0.271142837 +19639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.314667925 0.271142837 +19640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.574474845 0.271142837 +19641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.008353823 0.271142837 +19642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.730913219 0.271142837 +19644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.695640885 0.271142837 +19643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.166999057 0.271142837 +19645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.083569662 0.271142837 +19647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.304502391 0.271142837 +19648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.032274513 0.271142837 +19646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.245384864 0.271142837 +19649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.078985316 0.271142837 +19650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.5276239 0.271142837 +19651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.190952342 0.271142837 +19652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.684014397 0.271142837 +19653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.075985827 0.271142837 +19654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.635378343 0.271142837 +19655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.465988556 0.271142837 +19656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.265750697 0.271142837 +19657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.342230602 0.271142837 +19658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.185905048 0.271142837 +19660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.344391463 0.271142837 +19659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.59988234 0.271142837 +19661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.004974409 0.271142837 +19662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.703388903 0.271142837 +19663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.715917944 0.271142837 +19665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.522507148 0.271142837 +19666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.300262039 0.271142837 +19664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.656826161 0.271142837 +19667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.576322834 0.271142837 +19668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.02606359 0.271142837 +19669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.341742121 0.271142837 +19671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.322242323 0.271142837 +19672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.074792181 0.271142837 +19673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.85626857 0.271142837 +19670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.151091098 0.271142837 +19675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.55997579 0.271142837 +19677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.067047225 0.271142837 +19676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.620296987 0.271142837 +19679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.710194514 0.271142837 +19678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.03887774 0.271142837 +19680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.206309735 0.271142837 +19674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.236636784 0.271142837 +19682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.328346775 0.271142837 +19681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.313081803 0.271142837 +19686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.41782862 0.271142837 +19684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.651882658 0.271142837 +19685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.026553465 0.271142837 +19683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.72911078 0.271142837 +19687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.7049257 0.271142837 +19689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.493820661 0.271142837 +19688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.478416118 0.271142837 +19690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.132743247 0.271142837 +19692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.419864226 0.271142837 +19693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.54411492 0.271142837 +19694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.483136371 0.271142837 +19691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.547563257 0.271142837 +19695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.550817005 0.271142837 +19696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.255166873 0.271142837 +19698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.02967991 0.271142837 +19700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.590650991 0.271142837 +19697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.166394243 0.271142837 +19699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.325074143 0.271142837 +19702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.704818436 0.271142837 +19703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.458706682 0.271142837 +19701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.285541726 0.271142837 +19704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.027654601 0.271142837 +19705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.397044665 0.271142837 +19706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.222989483 0.271142837 +19708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.420173006 0.271142837 +19709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.02434794 0.271142837 +19707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.43741468 0.271142837 +19710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.485412833 0.271142837 +19711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.163856621 0.271142837 +19712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.698292216 0.271142837 +19714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.395667346 0.271142837 +19713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.690757557 0.271142837 +19716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.631895998 0.271142837 +19715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.359762466 0.271142837 +19718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.130646141 0.271142837 +19719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.424595562 0.271142837 +19720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.033695889 0.271142837 +19722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.370475002 0.271142837 +19721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.696022552 0.271142837 +19723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.726222436 0.271142837 +19717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.597030385 0.271142837 +19724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.147116986 0.271142837 +19726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.801752126 0.271142837 +19727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.64621345 0.271142837 +19725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.158099986 0.271142837 +19728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.485658895 0.271142837 +19729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.223876023 0.271142837 +19730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.820992997 0.271142837 +19731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.400865557 0.271142837 +19732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.629991953 0.271142837 +19733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.540580023 0.271142837 +19735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.159934275 0.271142837 +19734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.178793801 0.271142837 +19737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.115985959 0.271142837 +19736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.778100021 0.271142837 +19740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.6601127 0.271142837 +19738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.290007493 0.271142837 +19741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.003999919 0.271142837 +19739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.515891827 0.271142837 +19743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.203875733 0.271142837 +19742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.248794383 0.271142837 +19746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.423637275 0.271142837 +19745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.111886036 0.271142837 +19747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.311162582 0.271142837 +19744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.782786312 0.271142837 +19748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.106748162 0.271142837 +19750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.296070219 0.271142837 +19749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.29984024 0.271142837 +19751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.637660037 0.271142837 +19752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.088615568 0.271142837 +19754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.319976549 0.271142837 +19753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.069866753 0.271142837 +19756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.521038808 0.271142837 +19755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.244800511 0.271142837 +19757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.57202318 0.271142837 +19758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.39481342 0.271142837 +19760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.358873329 0.271142837 +19762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.275876279 0.271142837 +19764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.087271244 0.271142837 +19759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.252332026 0.271142837 +19763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.21297064 0.271142837 +19761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.286763702 0.271142837 +19765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.402341526 0.271142837 +19766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.639426317 0.271142837 +19767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.03802961 0.271142837 +19769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.727283518 0.271142837 +19768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.12443666 0.271142837 +19771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.269858336 0.271142837 +19770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.659881766 0.271142837 +19772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.427238446 0.271142837 +19773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.564817815 0.271142837 +19774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.570219735 0.271142837 +19775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.222094303 0.271142837 +19778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.026678155 0.271142837 +19777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -1.24E-04 0.271142837 +19776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.538030289 0.271142837 +19779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.384111622 0.271142837 +19781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.096886124 0.271142837 +19780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.482584872 0.271142837 +19782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.171014809 0.271142837 +19783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.026437499 0.271142837 +19784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.669413114 0.271142837 +19785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.221679062 0.271142837 +19787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.105350638 0.271142837 +19788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.666404037 0.271142837 +19786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.501404403 0.271142837 +19789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.326414899 0.271142837 +19790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.324703216 0.271142837 +19791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.754240319 0.271142837 +19792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.325977755 0.271142837 +19793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.264805199 0.271142837 +19795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.513316064 0.271142837 +19797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.618697616 0.271142837 +19796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.120696915 0.271142837 +19798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.555079035 0.271142837 +19799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.748048869 0.271142837 +19801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.300661868 0.271142837 +19800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.033710507 0.271142837 +19794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.561163554 0.271142837 +19802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.119886645 0.271142837 +19804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.754025873 0.271142837 +19805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.727948385 0.271142837 +19806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.456901821 0.271142837 +19803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.181815141 0.271142837 +19808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.209059101 0.271142837 +19809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.393363359 0.271142837 +19807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.320852677 0.271142837 +19811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.095908242 0.271142837 +19810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.308491941 0.271142837 +19812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.761055132 0.271142837 +19814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.560059178 0.271142837 +19815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.371579003 0.271142837 +19813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.671739225 0.271142837 +19817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.705524088 0.271142837 +19818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.083572457 0.271142837 +19819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.059806103 0.271142837 +19821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.72209087 0.271142837 +19820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.481348636 0.271142837 +19816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.305333892 0.271142837 +19822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.019153781 0.271142837 +19823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.705737437 0.271142837 +19824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.505432013 0.271142837 +19825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.698010627 0.271142837 +19827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.431989161 0.271142837 +19826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.446827145 0.271142837 +19828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.219367545 0.271142837 +19829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.596863592 0.271142837 +19830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.484663003 0.271142837 +19833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.151285467 0.271142837 +19831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.497818474 0.271142837 +19834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.08884252 0.271142837 +19835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.555696803 0.271142837 +19832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.473164623 0.271142837 +19836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.126083763 0.271142837 +19837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.080346585 0.271142837 +19838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.50717185 0.271142837 +19840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.529480182 0.271142837 +19842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.60815044 0.271142837 +19843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.752915647 0.271142837 +19844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.221113705 0.271142837 +19839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.11081795 0.271142837 +19841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.300888286 0.271142837 +19846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.647960659 0.271142837 +19845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.550479942 0.271142837 +19847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.764990204 0.271142837 +19849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.640637679 0.271142837 +19848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.158439765 0.271142837 +19851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.494249296 0.271142837 +19852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.586376107 0.271142837 +19850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.592049012 0.271142837 +19853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.424032388 0.271142837 +19856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.776810379 0.271142837 +19858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.6433724 0.271142837 +19855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.339926981 0.271142837 +19854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.025674449 0.271142837 +19861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.733362841 0.271142837 +19857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.601384655 0.271142837 +19860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.146359043 0.271142837 +19859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.536382106 0.271142837 +19862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.538335887 0.271142837 +19864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.242284033 0.271142837 +19867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.423733001 0.271142837 +19865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.039470049 0.271142837 +19866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.836177977 0.271142837 +19869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.606512384 0.271142837 +19863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.152060934 0.271142837 +19868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.033485335 0.271142837 +19870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.696174867 0.271142837 +19872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.496549678 0.271142837 +19871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.098819947 0.271142837 +19875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.449212758 0.271142837 +19876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.331213872 0.271142837 +19873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.328555354 0.271142837 +19877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.125926841 0.271142837 +19874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.285419293 0.271142837 +19878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.087906442 0.271142837 +19880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.530411369 0.271142837 +19882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.482231404 0.271142837 +19879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.294137225 0.271142837 +19884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.005660994 0.271142837 +19885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.56149938 0.271142837 +19881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.775924561 0.271142837 +19883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.734561788 0.271142837 +19886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.825046559 0.271142837 +19887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.203466031 0.271142837 +19888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.361443617 0.271142837 +19889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.802872097 0.271142837 +19892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.655515773 0.271142837 +19890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.170912901 0.271142837 +19891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.709267119 0.271142837 +19894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.176480734 0.271142837 +19893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.596063059 0.271142837 +19896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.081076172 0.271142837 +19895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.002183266 0.271142837 +19897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.27476944 0.271142837 +19899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.520933453 0.271142837 +19900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.217620976 0.271142837 +19898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.022589248 0.271142837 +19902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.625130943 0.271142837 +19901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.584345631 0.271142837 +19905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.618781115 0.271142837 +19904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.042825872 0.271142837 +19906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.001634119 0.271142837 +19908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.582712613 0.271142837 +19903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.544887918 0.271142837 +19907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.536428617 0.271142837 +19909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.530300926 0.271142837 +19910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.674878086 0.271142837 +19913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.712223836 0.271142837 +19911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.751268721 0.271142837 +19914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.349686874 0.271142837 +19915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.249200576 0.271142837 +19912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.517947417 0.271142837 +19916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.304360417 0.271142837 +19920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.607626955 0.271142837 +19919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.147994326 0.271142837 +19918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.651759855 0.271142837 +19922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.057037513 0.271142837 +19923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.543371465 0.271142837 +19917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.615475936 0.271142837 +19924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.517714844 0.271142837 +19921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.63315477 0.271142837 +19925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.676797375 0.271142837 +19926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.641376929 0.271142837 +19927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.749152 0.271142837 +19928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.095230425 0.271142837 +19929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.194407389 0.271142837 +19930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.718142963 0.271142837 +19931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.020653045 0.271142837 +19932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.245552901 0.271142837 +19934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.137441927 0.271142837 +19935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.09818931 0.271142837 +19936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.605236221 0.271142837 +19933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.430359535 0.271142837 +19939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.478786384 0.271142837 +19937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.101488719 0.271142837 +19938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.54590407 0.271142837 +19940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.681145153 0.271142837 +19941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.191506449 0.271142837 +19944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.033318818 0.271142837 +19943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.498248258 0.271142837 +19942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.014606208 0.271142837 +19945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.283228054 0.271142837 +19946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.618713188 0.271142837 +19947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.180794061 0.271142837 +19948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.721509742 0.271142837 +19949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.659481753 0.271142837 +19950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.285974639 0.271142837 +19951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.25890618 0.271142837 +19953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.507619256 0.271142837 +19952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.77817734 0.271142837 +19954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.412294862 0.271142837 +19956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.383374413 0.271142837 +19957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.142137375 0.271142837 +19955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.221944744 0.271142837 +19958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.04947845 0.271142837 +19960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.170020123 0.271142837 +19961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.445898839 0.271142837 +19959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.226050621 0.271142837 +19962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.661649134 0.271142837 +19963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.572467781 0.271142837 +19964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.253532104 0.271142837 +19965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.239710915 0.271142837 +19966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.346888251 0.271142837 +19968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.405286676 0.271142837 +19969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.28382579 0.271142837 +19967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.587036787 0.271142837 +19970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.029143036 0.271142837 +19971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.626918947 0.271142837 +19974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.028876979 0.271142837 +19973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.527364588 0.271142837 +19975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.223718227 0.271142837 +19976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.640622611 0.271142837 +19972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.780952776 0.271142837 +19977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.091062537 0.271142837 +19978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.264044908 0.271142837 +19979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.366860687 0.271142837 +19980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.264427188 0.271142837 +19982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.222218552 0.271142837 +19984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.528602734 0.271142837 +19983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.60312498 0.271142837 +19981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.00915333 0.271142837 +19985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.631944512 0.271142837 +19986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.687390559 0.271142837 +19987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.068216373 0.271142837 +19988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.520310831 0.271142837 +19989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.366232953 0.271142837 +19991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.160143957 0.271142837 +19990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.1349541 0.271142837 +19993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.089644111 0.271142837 +19992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.116015126 0.271142837 +19994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.80657012 0.271142837 +19995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.559146943 0.271142837 +19996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.699656183 0.271142837 +19998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.491492444 0.271142837 +19999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.360405272 0.271142837 +20000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 -0.608163831 0.271142837 +19997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 -0.05 10 1 0.614329731 0.271142837 +20002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.203813424 -0.264198208 +20001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.558717173 -0.264198208 +20004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.693647452 -0.264198208 +20003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.730888786 -0.264198208 +20005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.164804916 -0.264198208 +20008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.01379893 -0.264198208 +20006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.312096211 -0.264198208 +20007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.49700689 -0.264198208 +20009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.601597273 -0.264198208 +20010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.185736302 -0.264198208 +20011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.312707947 -0.264198208 +20012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.202015453 -0.264198208 +20013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.553333712 -0.264198208 +20014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.114211957 -0.264198208 +20016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.640977414 -0.264198208 +20015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.194798477 -0.264198208 +20018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.411119991 -0.264198208 +20017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.159900725 -0.264198208 +20019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.0020747 -0.264198208 +20020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.19760533 -0.264198208 +20021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.079697891 -0.264198208 +20022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.010778786 -0.264198208 +20023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.565593032 -0.264198208 +20024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.421870441 -0.264198208 +20026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.46339545 -0.264198208 +20027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.030738524 -0.264198208 +20029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.750434225 -0.264198208 +20028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.400454296 -0.264198208 +20025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.070074497 -0.264198208 +20030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.346121684 -0.264198208 +20032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.419763614 -0.264198208 +20031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.035441207 -0.264198208 +20033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.167188111 -0.264198208 +20035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.23906065 -0.264198208 +20034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.494108574 -0.264198208 +20036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.252925653 -0.264198208 +20038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.067798991 -0.264198208 +20037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.013343937 -0.264198208 +20039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.74369615 -0.264198208 +20040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.308414646 -0.264198208 +20041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.400402365 -0.264198208 +20044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.342363779 -0.264198208 +20042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.355697029 -0.264198208 +20043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.247462502 -0.264198208 +20045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.434840229 -0.264198208 +20047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.312517152 -0.264198208 +20050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.491864817 -0.264198208 +20046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.018280143 -0.264198208 +20051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.35148576 -0.264198208 +20049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.187619 -0.264198208 +20048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.720326369 -0.264198208 +20052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.448738887 -0.264198208 +20053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.673242091 -0.264198208 +20054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.775285352 -0.264198208 +20055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.483030069 -0.264198208 +20056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.023627825 -0.264198208 +20058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.295487161 -0.264198208 +20057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.179953734 -0.264198208 +20059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.826872642 -0.264198208 +20060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.137370711 -0.264198208 +20062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.307958088 -0.264198208 +20061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.114953017 -0.264198208 +20063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.699079155 -0.264198208 +20065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.637594028 -0.264198208 +20067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.301846964 -0.264198208 +20064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.286410014 -0.264198208 +20066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.548260263 -0.264198208 +20068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.379681413 -0.264198208 +20069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.640800655 -0.264198208 +20071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.57625947 -0.264198208 +20070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.646851657 -0.264198208 +20072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.664508373 -0.264198208 +20073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.064615697 -0.264198208 +20074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.291072782 -0.264198208 +20075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.611552019 -0.264198208 +20076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.430909807 -0.264198208 +20080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.200614379 -0.264198208 +20077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.448071346 -0.264198208 +20079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.39287198 -0.264198208 +20078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.321780488 -0.264198208 +20081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.641987704 -0.264198208 +20083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.163211384 -0.264198208 +20082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.025539895 -0.264198208 +20086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.752310297 -0.264198208 +20084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.304536928 -0.264198208 +20087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.181587089 -0.264198208 +20088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.068278264 -0.264198208 +20085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.371201985 -0.264198208 +20089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.727272492 -0.264198208 +20090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.125458459 -0.264198208 +20091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.669220522 -0.264198208 +20093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.040669734 -0.264198208 +20096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.149687762 -0.264198208 +20092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.109557113 -0.264198208 +20095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.118575706 -0.264198208 +20097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.242146232 -0.264198208 +20094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.235772823 -0.264198208 +20098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.579190959 -0.264198208 +20100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.546860946 -0.264198208 +20101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.068730395 -0.264198208 +20102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.474442008 -0.264198208 +20104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.17305486 -0.264198208 +20105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.135072478 -0.264198208 +20099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.691211189 -0.264198208 +20103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.593941506 -0.264198208 +20106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.296855996 -0.264198208 +20107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.689814265 -0.264198208 +20109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.108546732 -0.264198208 +20110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.447244173 -0.264198208 +20113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.045163545 -0.264198208 +20108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.805384077 -0.264198208 +20111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.529153899 -0.264198208 +20112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.13425445 -0.264198208 +20114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.706869945 -0.264198208 +20115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.518929894 -0.264198208 +20119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.314251878 -0.264198208 +20117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.835637383 -0.264198208 +20120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.539643114 -0.264198208 +20118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.581072766 -0.264198208 +20116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.776479244 -0.264198208 +20122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.371026528 -0.264198208 +20121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.708164939 -0.264198208 +20125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.254801789 -0.264198208 +20127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.808943637 -0.264198208 +20126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.666531257 -0.264198208 +20123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.287484226 -0.264198208 +20128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.790500854 -0.264198208 +20124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.656917849 -0.264198208 +20129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.530980652 -0.264198208 +20130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.111945293 -0.264198208 +20132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.316897469 -0.264198208 +20134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.137650602 -0.264198208 +20133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.731190179 -0.264198208 +20135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.566297015 -0.264198208 +20137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.494871964 -0.264198208 +20136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.702831554 -0.264198208 +20131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.59213469 -0.264198208 +20139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.657203929 -0.264198208 +20138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.448125988 -0.264198208 +20141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.484269271 -0.264198208 +20142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.655486584 -0.264198208 +20140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.397802113 -0.264198208 +20143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.29616996 -0.264198208 +20145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.014757963 -0.264198208 +20147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.389273972 -0.264198208 +20146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.649673596 -0.264198208 +20144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.208825146 -0.264198208 +20148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.744868075 -0.264198208 +20150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.046741944 -0.264198208 +20149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.796915451 -0.264198208 +20151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.063600825 -0.264198208 +20152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.688269773 -0.264198208 +20154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.143126007 -0.264198208 +20156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.029893851 -0.264198208 +20155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.744490455 -0.264198208 +20157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.128069739 -0.264198208 +20153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.418333404 -0.264198208 +20158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.36821695 -0.264198208 +20159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.014218129 -0.264198208 +20160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.628238144 -0.264198208 +20162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.818598883 -0.264198208 +20161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.39119956 -0.264198208 +20163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.19651454 -0.264198208 +20164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.040361344 -0.264198208 +20166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.676848298 -0.264198208 +20167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.126593273 -0.264198208 +20168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.303383704 -0.264198208 +20165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.715253204 -0.264198208 +20169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.586602154 -0.264198208 +20170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.796345146 -0.264198208 +20172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.438301932 -0.264198208 +20173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.069687172 -0.264198208 +20174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.253704946 -0.264198208 +20171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.206476916 -0.264198208 +20175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.502161821 -0.264198208 +20176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.338841717 -0.264198208 +20177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.087142757 -0.264198208 +20179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.332358393 -0.264198208 +20178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.428251658 -0.264198208 +20180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.425352443 -0.264198208 +20181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.291901443 -0.264198208 +20182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.31700294 -0.264198208 +20183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.605589994 -0.264198208 +20185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.246969919 -0.264198208 +20186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.374994653 -0.264198208 +20187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.061167788 -0.264198208 +20189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.128374396 -0.264198208 +20188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.004961049 -0.264198208 +20184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.452896445 -0.264198208 +20191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.730986266 -0.264198208 +20190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.264055377 -0.264198208 +20195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.54329464 -0.264198208 +20194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.079761397 -0.264198208 +20192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.43752493 -0.264198208 +20196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.361577352 -0.264198208 +20193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.518516155 -0.264198208 +20197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.065994639 -0.264198208 +20199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.295399582 -0.264198208 +20198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.16020029 -0.264198208 +20203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.072172914 -0.264198208 +20200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.47534709 -0.264198208 +20202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.702948597 -0.264198208 +20204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.46939258 -0.264198208 +20201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.043423504 -0.264198208 +20206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.203335277 -0.264198208 +20205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.569129277 -0.264198208 +20207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.033105746 -0.264198208 +20209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.625649199 -0.264198208 +20211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.609658727 -0.264198208 +20208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.597051125 -0.264198208 +20212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.017055788 -0.264198208 +20210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.370401708 -0.264198208 +20213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.571785449 -0.264198208 +20214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.334211489 -0.264198208 +20215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.679269244 -0.264198208 +20217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.739805225 -0.264198208 +20216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.05495386 -0.264198208 +20218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.724513536 -0.264198208 +20220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.413645957 -0.264198208 +20219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.769643989 -0.264198208 +20221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.039460478 -0.264198208 +20223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.557823133 -0.264198208 +20222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.280150874 -0.264198208 +20225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.464436397 -0.264198208 +20224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.710274941 -0.264198208 +20226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.001475717 -0.264198208 +20227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.201980793 -0.264198208 +20228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.513969726 -0.264198208 +20229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.0963377 -0.264198208 +20230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.417469267 -0.264198208 +20232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.778760641 -0.264198208 +20233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.780744998 -0.264198208 +20231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.037390624 -0.264198208 +20234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.489806644 -0.264198208 +20235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.655212211 -0.264198208 +20236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.714935862 -0.264198208 +20237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.003195131 -0.264198208 +20238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.028875463 -0.264198208 +20239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.542654114 -0.264198208 +20240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.334284299 -0.264198208 +20242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.594067938 -0.264198208 +20243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.335223794 -0.264198208 +20241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.824138822 -0.264198208 +20244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.286713612 -0.264198208 +20245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.251642243 -0.264198208 +20246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.408072991 -0.264198208 +20247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.25273193 -0.264198208 +20248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.193589604 -0.264198208 +20249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.292704332 -0.264198208 +20250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.428058332 -0.264198208 +20252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.199536721 -0.264198208 +20251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.065620129 -0.264198208 +20253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.383882993 -0.264198208 +20254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.39175692 -0.264198208 +20255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.476316121 -0.264198208 +20256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.142779283 -0.264198208 +20257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.49263281 -0.264198208 +20258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.188624041 -0.264198208 +20259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.568530188 -0.264198208 +20260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.237076578 -0.264198208 +20261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.735293058 -0.264198208 +20262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.062842952 -0.264198208 +20263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.308363219 -0.264198208 +20264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.469397515 -0.264198208 +20266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.690926928 -0.264198208 +20265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.132028178 -0.264198208 +20267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.416598779 -0.264198208 +20268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.024718635 -0.264198208 +20269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.379223579 -0.264198208 +20270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.526871511 -0.264198208 +20271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.256648572 -0.264198208 +20273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.001909686 -0.264198208 +20272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.369463544 -0.264198208 +20274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.019483849 -0.264198208 +20275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.067108835 -0.264198208 +20277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.395184879 -0.264198208 +20278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.552234095 -0.264198208 +20279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.156180175 -0.264198208 +20281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.024796875 -0.264198208 +20280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.071111769 -0.264198208 +20276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.516345434 -0.264198208 +20282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.699368569 -0.264198208 +20283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.092542987 -0.264198208 +20284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.002696266 -0.264198208 +20285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.898376292 -0.264198208 +20286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.666205335 -0.264198208 +20287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.35067719 -0.264198208 +20288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.778860351 -0.264198208 +20290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.651026711 -0.264198208 +20291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.33720258 -0.264198208 +20289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.683787749 -0.264198208 +20292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.750270566 -0.264198208 +20293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.460855708 -0.264198208 +20294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.791997432 -0.264198208 +20295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.653683766 -0.264198208 +20296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.67377157 -0.264198208 +20297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.363454848 -0.264198208 +20298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.399314428 -0.264198208 +20301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.345996583 -0.264198208 +20300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.737824699 -0.264198208 +20299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.220942426 -0.264198208 +20302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.761241388 -0.264198208 +20303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.168779542 -0.264198208 +20304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.556389954 -0.264198208 +20305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.135739074 -0.264198208 +20306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.786001718 -0.264198208 +20307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.17075699 -0.264198208 +20308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.579319165 -0.264198208 +20310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.269266664 -0.264198208 +20309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.387960767 -0.264198208 +20311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.236114953 -0.264198208 +20312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.683519634 -0.264198208 +20313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.21838803 -0.264198208 +20314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.587350376 -0.264198208 +20315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.085859351 -0.264198208 +20316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.402520293 -0.264198208 +20317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.192379781 -0.264198208 +20320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.300765511 -0.264198208 +20318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.283569409 -0.264198208 +20319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.593798603 -0.264198208 +20322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.30587661 -0.264198208 +20321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.764853723 -0.264198208 +20323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.635455086 -0.264198208 +20324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.720327635 -0.264198208 +20325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.054093279 -0.264198208 +20326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.610107002 -0.264198208 +20328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.289235965 -0.264198208 +20329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.673043127 -0.264198208 +20330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.019479471 -0.264198208 +20327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.605887624 -0.264198208 +20331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.078272825 -0.264198208 +20333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.140102968 -0.264198208 +20332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.690942643 -0.264198208 +20334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.71740893 -0.264198208 +20337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.383830079 -0.264198208 +20335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.598465129 -0.264198208 +20336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.115861022 -0.264198208 +20338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.543920295 -0.264198208 +20339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.064346102 -0.264198208 +20340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.476764687 -0.264198208 +20341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.171558311 -0.264198208 +20342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.513017045 -0.264198208 +20343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.037583577 -0.264198208 +20344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.007840857 -0.264198208 +20345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.378704438 -0.264198208 +20346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.364407522 -0.264198208 +20348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.738961807 -0.264198208 +20347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.476879063 -0.264198208 +20350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.650068046 -0.264198208 +20351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.388118762 -0.264198208 +20352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.638861582 -0.264198208 +20349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.903912849 -0.264198208 +20353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.164827016 -0.264198208 +20354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.038243001 -0.264198208 +20355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.824947168 -0.264198208 +20356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.184178011 -0.264198208 +20357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.387572941 -0.264198208 +20358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.861334784 -0.264198208 +20359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.083849089 -0.264198208 +20360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.477049502 -0.264198208 +20361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.484777178 -0.264198208 +20363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.031757275 -0.264198208 +20362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.24264696 -0.264198208 +20364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.219247118 -0.264198208 +20366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.088243074 -0.264198208 +20367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.358469855 -0.264198208 +20365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.369895559 -0.264198208 +20368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.01127363 -0.264198208 +20369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.028176801 -0.264198208 +20370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.384980801 -0.264198208 +20372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.037892305 -0.264198208 +20373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.214410913 -0.264198208 +20371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.25235021 -0.264198208 +20375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.677114446 -0.264198208 +20374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.656064097 -0.264198208 +20376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.742944026 -0.264198208 +20377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.413864682 -0.264198208 +20378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.301827166 -0.264198208 +20379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.792170027 -0.264198208 +20380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.394773187 -0.264198208 +20382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.127364887 -0.264198208 +20383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.462598245 -0.264198208 +20384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.032031696 -0.264198208 +20381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.270144182 -0.264198208 +20386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.678359138 -0.264198208 +20385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.06728576 -0.264198208 +20387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.365076481 -0.264198208 +20388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.829024327 -0.264198208 +20389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.462567987 -0.264198208 +20390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.742749936 -0.264198208 +20392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.31124857 -0.264198208 +20393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.660192117 -0.264198208 +20391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.670724668 -0.264198208 +20395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.713095956 -0.264198208 +20396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.612303989 -0.264198208 +20394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.034119814 -0.264198208 +20397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.668003362 -0.264198208 +20398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.580256114 -0.264198208 +20400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.031299971 -0.264198208 +20401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.621262903 -0.264198208 +20402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.033393739 -0.264198208 +20399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.021065071 -0.264198208 +20403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.215295693 -0.264198208 +20404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.744584515 -0.264198208 +20406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.168529246 -0.264198208 +20407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.247206471 -0.264198208 +20409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.142346321 -0.264198208 +20405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.120717404 -0.264198208 +20411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.006037056 -0.264198208 +20410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.044787984 -0.264198208 +20408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.718430102 -0.264198208 +20412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.542020458 -0.264198208 +20414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.388499392 -0.264198208 +20413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.043404904 -0.264198208 +20415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.384698703 -0.264198208 +20416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.259182328 -0.264198208 +20418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.24009876 -0.264198208 +20417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.055815752 -0.264198208 +20419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.231046948 -0.264198208 +20420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.104146356 -0.264198208 +20421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.729622539 -0.264198208 +20423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.473815606 -0.264198208 +20422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.700944597 -0.264198208 +20426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.127354504 -0.264198208 +20427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.464756531 -0.264198208 +20425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.697294022 -0.264198208 +20424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.304046122 -0.264198208 +20428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.210865893 -0.264198208 +20429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.031513079 -0.264198208 +20430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.345999407 -0.264198208 +20431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.652786096 -0.264198208 +20435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.6652777 -0.264198208 +20432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.748876102 -0.264198208 +20433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.426173742 -0.264198208 +20434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.208009388 -0.264198208 +20436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.058987451 -0.264198208 +20437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.595201714 -0.264198208 +20438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.201979865 -0.264198208 +20439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.519518525 -0.264198208 +20440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.048264054 -0.264198208 +20441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.740000257 -0.264198208 +20442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.110838441 -0.264198208 +20443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.265772541 -0.264198208 +20444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.290304598 -0.264198208 +20446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.129860407 -0.264198208 +20447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.548104009 -0.264198208 +20445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.047228108 -0.264198208 +20449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.048671292 -0.264198208 +20448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.324542133 -0.264198208 +20450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.177100531 -0.264198208 +20451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.630348881 -0.264198208 +20453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.350915068 -0.264198208 +20455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.728524617 -0.264198208 +20452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.158589958 -0.264198208 +20454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.467303188 -0.264198208 +20456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.263792421 -0.264198208 +20457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.670518505 -0.264198208 +20458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.464210061 -0.264198208 +20460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.076904822 -0.264198208 +20463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.173063718 -0.264198208 +20461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.253681813 -0.264198208 +20459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.552156752 -0.264198208 +20462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.544587377 -0.264198208 +20464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.719172484 -0.264198208 +20466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.216903168 -0.264198208 +20465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.48298519 -0.264198208 +20469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.019355028 -0.264198208 +20468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.76374744 -0.264198208 +20471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.299875503 -0.264198208 +20472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.029202408 -0.264198208 +20470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.853242561 -0.264198208 +20467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.29672304 -0.264198208 +20473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.057143544 -0.264198208 +20474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.574725914 -0.264198208 +20476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.431468867 -0.264198208 +20477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.609169458 -0.264198208 +20475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.359339007 -0.264198208 +20479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.851717689 -0.264198208 +20480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.661477689 -0.264198208 +20478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.220074139 -0.264198208 +20481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.088654052 -0.264198208 +20482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.045093783 -0.264198208 +20483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.067125422 -0.264198208 +20484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.477287232 -0.264198208 +20488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.010334652 -0.264198208 +20485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.535567592 -0.264198208 +20487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.014747232 -0.264198208 +20486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.622180895 -0.264198208 +20491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.052099549 -0.264198208 +20489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.236949881 -0.264198208 +20490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.002828605 -0.264198208 +20492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.62443684 -0.264198208 +20494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.228321662 -0.264198208 +20495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.112828746 -0.264198208 +20496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.726306374 -0.264198208 +20493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.324928869 -0.264198208 +20497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.021466531 -0.264198208 +20498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.448239259 -0.264198208 +20499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.024766811 -0.264198208 +20500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.446593105 -0.264198208 +20502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.649222231 -0.264198208 +20501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.725381491 -0.264198208 +20504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.089081204 -0.264198208 +20503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.283165072 -0.264198208 +20505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.25478784 -0.264198208 +20506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.403000644 -0.264198208 +20507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.116425381 -0.264198208 +20509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.361853433 -0.264198208 +20508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.502502696 -0.264198208 +20510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.53367999 -0.264198208 +20511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.725386161 -0.264198208 +20512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.055961101 -0.264198208 +20514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.038240315 -0.264198208 +20515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.356524925 -0.264198208 +20513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.441063507 -0.264198208 +20516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.808249123 -0.264198208 +20517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.087362869 -0.264198208 +20518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.625324339 -0.264198208 +20521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.096086623 -0.264198208 +20519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.400039732 -0.264198208 +20522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.238514335 -0.264198208 +20523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.24082958 -0.264198208 +20526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.243751783 -0.264198208 +20524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.055711286 -0.264198208 +20525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.51771681 -0.264198208 +20520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.175035686 -0.264198208 +20527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.506021436 -0.264198208 +20528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.244489051 -0.264198208 +20529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.2126793 -0.264198208 +20530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.561512259 -0.264198208 +20531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.531099718 -0.264198208 +20532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.152727078 -0.264198208 +20534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.493344299 -0.264198208 +20533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.587486032 -0.264198208 +20535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.672184015 -0.264198208 +20536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.033906229 -0.264198208 +20538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.585085275 -0.264198208 +20537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.122106833 -0.264198208 +20540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.013522496 -0.264198208 +20542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.322972273 -0.264198208 +20539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.021657869 -0.264198208 +20543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.005049126 -0.264198208 +20544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.201473925 -0.264198208 +20546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.639813515 -0.264198208 +20541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.497062095 -0.264198208 +20545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.377554138 -0.264198208 +20549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.080122506 -0.264198208 +20548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.506615193 -0.264198208 +20547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.093200701 -0.264198208 +20550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.785273231 -0.264198208 +20551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.270944084 -0.264198208 +20553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.210327534 -0.264198208 +20552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.567485257 -0.264198208 +20554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.609475716 -0.264198208 +20555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.735772481 -0.264198208 +20557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.663013705 -0.264198208 +20556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.620482349 -0.264198208 +20558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.738436805 -0.264198208 +20559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.540557652 -0.264198208 +20561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.051852099 -0.264198208 +20563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.38815193 -0.264198208 +20562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.276967246 -0.264198208 +20564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.091468656 -0.264198208 +20560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.643260807 -0.264198208 +20565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.59156532 -0.264198208 +20567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.719428815 -0.264198208 +20566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.19208264 -0.264198208 +20569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.51524354 -0.264198208 +20570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.100176232 -0.264198208 +20568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.449332593 -0.264198208 +20571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.69783437 -0.264198208 +20572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.689491379 -0.264198208 +20574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.569007501 -0.264198208 +20575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.27883644 -0.264198208 +20573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.469045173 -0.264198208 +20578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.640195239 -0.264198208 +20579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.517244633 -0.264198208 +20577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.801692138 -0.264198208 +20576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.676034304 -0.264198208 +20580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.111527974 -0.264198208 +20581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.810501117 -0.264198208 +20583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.228363371 -0.264198208 +20582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.015520418 -0.264198208 +20584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.245599071 -0.264198208 +20586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.646671537 -0.264198208 +20585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.034648343 -0.264198208 +20587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.737010146 -0.264198208 +20589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.875087917 -0.264198208 +20590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.34384548 -0.264198208 +20588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.05444988 -0.264198208 +20591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.149925028 -0.264198208 +20592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.011051941 -0.264198208 +20593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.01985771 -0.264198208 +20594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.624417169 -0.264198208 +20595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.43412241 -0.264198208 +20596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.798472791 -0.264198208 +20598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.516787604 -0.264198208 +20599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.083477238 -0.264198208 +20597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.674957551 -0.264198208 +20600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.084486702 -0.264198208 +20601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.458664151 -0.264198208 +20602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.024130485 -0.264198208 +20603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.050987279 -0.264198208 +20604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.207236173 -0.264198208 +20606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.30263514 -0.264198208 +20607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.787439357 -0.264198208 +20605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.023053651 -0.264198208 +20608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.771954546 -0.264198208 +20609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.043598952 -0.264198208 +20610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.327166495 -0.264198208 +20611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.549483728 -0.264198208 +20612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.516334227 -0.264198208 +20613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.777468453 -0.264198208 +20614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.448139694 -0.264198208 +20615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.122665968 -0.264198208 +20616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.647269684 -0.264198208 +20617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.062727846 -0.264198208 +20618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.488353103 -0.264198208 +20619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.440818843 -0.264198208 +20621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.008283418 -0.264198208 +20622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.08205918 -0.264198208 +20620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.374748959 -0.264198208 +20625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.404785471 -0.264198208 +20624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.674628459 -0.264198208 +20623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.071121787 -0.264198208 +20626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.451345153 -0.264198208 +20627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.592610903 -0.264198208 +20628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.387129418 -0.264198208 +20629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.459165892 -0.264198208 +20630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.408711856 -0.264198208 +20631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.112020316 -0.264198208 +20632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.490690684 -0.264198208 +20634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.347330348 -0.264198208 +20635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.230909744 -0.264198208 +20633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.671071001 -0.264198208 +20636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.782167039 -0.264198208 +20637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.55159677 -0.264198208 +20638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.146882544 -0.264198208 +20639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.205711845 -0.264198208 +20640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.491914032 -0.264198208 +20641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.551263895 -0.264198208 +20642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.027933076 -0.264198208 +20643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.376631912 -0.264198208 +20644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.66672358 -0.264198208 +20645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.690881181 -0.264198208 +20646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.671919846 -0.264198208 +20647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.403809644 -0.264198208 +20648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.703729625 -0.264198208 +20649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.397853705 -0.264198208 +20650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.158542739 -0.264198208 +20652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.697559967 -0.264198208 +20653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.592190244 -0.264198208 +20651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.708237212 -0.264198208 +20655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.482020172 -0.264198208 +20654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.503051708 -0.264198208 +20656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.030045207 -0.264198208 +20657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.015563672 -0.264198208 +20659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.092461486 -0.264198208 +20658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.614479304 -0.264198208 +20660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.213015731 -0.264198208 +20663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.577683241 -0.264198208 +20662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.745838599 -0.264198208 +20661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.133261456 -0.264198208 +20664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.380686573 -0.264198208 +20667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.715075453 -0.264198208 +20666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.189565354 -0.264198208 +20668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.430764236 -0.264198208 +20670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.410539584 -0.264198208 +20669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.463646652 -0.264198208 +20665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.493307859 -0.264198208 +20671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.244359494 -0.264198208 +20672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.384671982 -0.264198208 +20674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.475843466 -0.264198208 +20673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.050379287 -0.264198208 +20675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.686437933 -0.264198208 +20677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.289921576 -0.264198208 +20678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.3652091 -0.264198208 +20676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.131927888 -0.264198208 +20679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.128904628 -0.264198208 +20680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.269092095 -0.264198208 +20682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.252763813 -0.264198208 +20681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.49509652 -0.264198208 +20683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.061563709 -0.264198208 +20684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.467698316 -0.264198208 +20686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.152640545 -0.264198208 +20685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.2776384 -0.264198208 +20687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.451960465 -0.264198208 +20688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.284523011 -0.264198208 +20689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.2082161 -0.264198208 +20690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.479502226 -0.264198208 +20693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.584551632 -0.264198208 +20691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.368878292 -0.264198208 +20694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.543671879 -0.264198208 +20692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.157260576 -0.264198208 +20695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.727860988 -0.264198208 +20696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.567598049 -0.264198208 +20697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.55491859 -0.264198208 +20698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.057335103 -0.264198208 +20701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.121978742 -0.264198208 +20700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.410154226 -0.264198208 +20702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.296775827 -0.264198208 +20699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.470798373 -0.264198208 +20704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.563321161 -0.264198208 +20705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.159182693 -0.264198208 +20706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.127593567 -0.264198208 +20703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.596236805 -0.264198208 +20707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.040549341 -0.264198208 +20708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.81190169 -0.264198208 +20709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.426934277 -0.264198208 +20710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.589692863 -0.264198208 +20711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.426838691 -0.264198208 +20712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.524485942 -0.264198208 +20713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.09901695 -0.264198208 +20716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.70489289 -0.264198208 +20715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.046691295 -0.264198208 +20717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.382943348 -0.264198208 +20718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.087358978 -0.264198208 +20714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.463995526 -0.264198208 +20719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.398020827 -0.264198208 +20722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.568985059 -0.264198208 +20721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.465660633 -0.264198208 +20720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.712331572 -0.264198208 +20723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.391115894 -0.264198208 +20724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.076240056 -0.264198208 +20725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.588938646 -0.264198208 +20726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.198078707 -0.264198208 +20727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.668099723 -0.264198208 +20728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.506304586 -0.264198208 +20730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.242503307 -0.264198208 +20729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.442060207 -0.264198208 +20732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.052979135 -0.264198208 +20731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.270827587 -0.264198208 +20733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.009216799 -0.264198208 +20734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.117098867 -0.264198208 +20735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.669071801 -0.264198208 +20736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.186022127 -0.264198208 +20737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.303390112 -0.264198208 +20738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.024685576 -0.264198208 +20739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.231536358 -0.264198208 +20740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.212260641 -0.264198208 +20741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.502995629 -0.264198208 +20743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.181018696 -0.264198208 +20746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.401505322 -0.264198208 +20745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.232752583 -0.264198208 +20742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.083464352 -0.264198208 +20744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.623694697 -0.264198208 +20747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.066700488 -0.264198208 +20748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.501402752 -0.264198208 +20749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.61866622 -0.264198208 +20750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.563653535 -0.264198208 +20751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.011526412 -0.264198208 +20752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.234996413 -0.264198208 +20755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.751596699 -0.264198208 +20753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.617349654 -0.264198208 +20756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.661801319 -0.264198208 +20754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.546727479 -0.264198208 +20757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.081262066 -0.264198208 +20758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.407711905 -0.264198208 +20759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.468319522 -0.264198208 +20760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.257197169 -0.264198208 +20761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.393498533 -0.264198208 +20763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.76007755 -0.264198208 +20764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.858379556 -0.264198208 +20762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.539755832 -0.264198208 +20765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.108834544 -0.264198208 +20766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.422416849 -0.264198208 +20767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.080436243 -0.264198208 +20768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.35264921 -0.264198208 +20769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.12695052 -0.264198208 +20771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.012112206 -0.264198208 +20770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.321205699 -0.264198208 +20773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.580314755 -0.264198208 +20772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.610224526 -0.264198208 +20774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.380975021 -0.264198208 +20775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.080995179 -0.264198208 +20776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.5380922 -0.264198208 +20777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.605554268 -0.264198208 +20779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.129136966 -0.264198208 +20778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.208633287 -0.264198208 +20780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.308117163 -0.264198208 +20782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.419445214 -0.264198208 +20781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.092160352 -0.264198208 +20784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.784405828 -0.264198208 +20783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.071225462 -0.264198208 +20787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.443779661 -0.264198208 +20786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.26930953 -0.264198208 +20785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.071162248 -0.264198208 +20788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.753649792 -0.264198208 +20789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.62020266 -0.264198208 +20792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.521796415 -0.264198208 +20791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.675828089 -0.264198208 +20793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.202001858 -0.264198208 +20794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.328410579 -0.264198208 +20795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.332519593 -0.264198208 +20790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.157651356 -0.264198208 +20797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.211124663 -0.264198208 +20798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.69604068 -0.264198208 +20796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.049767551 -0.264198208 +20799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.327305733 -0.264198208 +20800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.054036228 -0.264198208 +20801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.543189472 -0.264198208 +20802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.675661986 -0.264198208 +20803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.461124888 -0.264198208 +20804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.2544209 -0.264198208 +20806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.518724464 -0.264198208 +20805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.113977538 -0.264198208 +20807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.131072606 -0.264198208 +20810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.18688117 -0.264198208 +20809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.777739853 -0.264198208 +20808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.876441989 -0.264198208 +20811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.005146174 -0.264198208 +20813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.49772739 -0.264198208 +20814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.694221122 -0.264198208 +20812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.312774003 -0.264198208 +20815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.607769689 -0.264198208 +20817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.122942854 -0.264198208 +20816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.467715931 -0.264198208 +20818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.071087274 -0.264198208 +20821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.241868883 -0.264198208 +20822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.169137053 -0.264198208 +20823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.514322974 -0.264198208 +20820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.300648685 -0.264198208 +20824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.113038938 -0.264198208 +20819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.807368026 -0.264198208 +20825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.706783526 -0.264198208 +20826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.533658549 -0.264198208 +20827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.675990646 -0.264198208 +20829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.115605469 -0.264198208 +20828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.647279196 -0.264198208 +20830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.796990039 -0.264198208 +20832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.487908148 -0.264198208 +20831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.016163373 -0.264198208 +20833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.100300394 -0.264198208 +20834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.61948766 -0.264198208 +20836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.121835854 -0.264198208 +20838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.764898432 -0.264198208 +20837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.188574663 -0.264198208 +20835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.700587221 -0.264198208 +20840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.76153992 -0.264198208 +20841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.114674922 -0.264198208 +20842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.267260149 -0.264198208 +20839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.060361401 -0.264198208 +20843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.270638514 -0.264198208 +20844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.228224827 -0.264198208 +20846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.149328221 -0.264198208 +20845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.845466294 -0.264198208 +20847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.178942705 -0.264198208 +20848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.043458043 -0.264198208 +20849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.072172166 -0.264198208 +20850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.010585734 -0.264198208 +20852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.716250934 -0.264198208 +20851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.544431248 -0.264198208 +20854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.197083035 -0.264198208 +20853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.616351266 -0.264198208 +20856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.751546293 -0.264198208 +20855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.312274582 -0.264198208 +20857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.341444185 -0.264198208 +20859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.665815443 -0.264198208 +20858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.353935441 -0.264198208 +20860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.583310165 -0.264198208 +20862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.292693502 -0.264198208 +20861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.398053183 -0.264198208 +20864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.162476018 -0.264198208 +20865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.527728004 -0.264198208 +20863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.476757267 -0.264198208 +20868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.291060617 -0.264198208 +20867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.033860489 -0.264198208 +20866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.739085834 -0.264198208 +20869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.358244194 -0.264198208 +20870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.453399778 -0.264198208 +20872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.339709766 -0.264198208 +20873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.461255502 -0.264198208 +20871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.738408399 -0.264198208 +20875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.543605978 -0.264198208 +20874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.12106166 -0.264198208 +20876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.807105446 -0.264198208 +20877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.336965717 -0.264198208 +20878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.435884529 -0.264198208 +20881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.481101308 -0.264198208 +20879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.397464659 -0.264198208 +20880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.014270925 -0.264198208 +20882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.230775168 -0.264198208 +20883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.052215887 -0.264198208 +20884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.771518459 -0.264198208 +20885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.261877398 -0.264198208 +20888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.82499852 -0.264198208 +20889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.673533188 -0.264198208 +20887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.03178674 -0.264198208 +20891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.666819363 -0.264198208 +20890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.576610228 -0.264198208 +20892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.12244227 -0.264198208 +20886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.715121337 -0.264198208 +20894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.218402742 -0.264198208 +20893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.14261964 -0.264198208 +20895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.713521441 -0.264198208 +20896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.015326568 -0.264198208 +20898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.559689471 -0.264198208 +20899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.572014729 -0.264198208 +20897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.624341989 -0.264198208 +20900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.641367632 -0.264198208 +20901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.007716707 -0.264198208 +20903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.663560631 -0.264198208 +20902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.151377298 -0.264198208 +20904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.006719116 -0.264198208 +20905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.380859675 -0.264198208 +20906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.68427039 -0.264198208 +20907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.291589916 -0.264198208 +20909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.277700253 -0.264198208 +20911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.457496784 -0.264198208 +20908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.114286048 -0.264198208 +20910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.438573021 -0.264198208 +20914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.060823517 -0.264198208 +20913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.235712906 -0.264198208 +20915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.580543176 -0.264198208 +20912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.19260661 -0.264198208 +20916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.50601123 -0.264198208 +20918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.464117002 -0.264198208 +20919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.659974147 -0.264198208 +20921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.69886291 -0.264198208 +20920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.593743188 -0.264198208 +20922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.493538825 -0.264198208 +20917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.463711591 -0.264198208 +20923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.255734824 -0.264198208 +20924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.530102715 -0.264198208 +20926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.054900394 -0.264198208 +20927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.357004803 -0.264198208 +20929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.781084382 -0.264198208 +20930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.12924142 -0.264198208 +20925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.398803507 -0.264198208 +20928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.416736394 -0.264198208 +20931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.547495595 -0.264198208 +20932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.75345155 -0.264198208 +20933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.773097904 -0.264198208 +20935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.241901931 -0.264198208 +20934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.311623262 -0.264198208 +20938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.041574404 -0.264198208 +20937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.036433729 -0.264198208 +20939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.092107403 -0.264198208 +20940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.09060798 -0.264198208 +20936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.454188578 -0.264198208 +20941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.198701802 -0.264198208 +20942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.088380828 -0.264198208 +20944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.130720828 -0.264198208 +20943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.147536801 -0.264198208 +20946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.533970621 -0.264198208 +20948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.338284326 -0.264198208 +20947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.590692028 -0.264198208 +20945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.001504139 -0.264198208 +20949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.73823141 -0.264198208 +20952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.170806712 -0.264198208 +20951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.159519488 -0.264198208 +20950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.839291427 -0.264198208 +20953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.056712512 -0.264198208 +20954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.054480957 -0.264198208 +20955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.188591178 -0.264198208 +20959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.674108395 -0.264198208 +20960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.093543692 -0.264198208 +20956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.140486967 -0.264198208 +20961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.5559863 -0.264198208 +20957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.666021372 -0.264198208 +20963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.400057681 -0.264198208 +20958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.248770665 -0.264198208 +20962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.131779624 -0.264198208 +20964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.170974163 -0.264198208 +20965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.096706714 -0.264198208 +20967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.479591562 -0.264198208 +20966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.080016396 -0.264198208 +20968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.831738964 -0.264198208 +20969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.553698494 -0.264198208 +20970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.021586852 -0.264198208 +20971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.360474485 -0.264198208 +20973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.667176576 -0.264198208 +20974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.036050334 -0.264198208 +20976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.775817588 -0.264198208 +20977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.788259614 -0.264198208 +20978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.178741768 -0.264198208 +20972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.215789674 -0.264198208 +20975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.449353751 -0.264198208 +20980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.529873995 -0.264198208 +20981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.578722692 -0.264198208 +20979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.043545784 -0.264198208 +20983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.038435059 -0.264198208 +20982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.529796529 -0.264198208 +20985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.753560387 -0.264198208 +20984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.470744866 -0.264198208 +20986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.518930827 -0.264198208 +20989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.196517811 -0.264198208 +20988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 0.002105249 -0.264198208 +20990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.001133771 -0.264198208 +20991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.48182455 -0.264198208 +20987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.467566594 -0.264198208 +20993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.673509031 -0.264198208 +20992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.303734688 -0.264198208 +20995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.276300051 -0.264198208 +20996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.484484883 -0.264198208 +20997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.476021739 -0.264198208 +20994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.386379134 -0.264198208 +20999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.594209215 -0.264198208 +20998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.518290537 -0.264198208 +21000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0 10 1 -0.195324737 -0.264198208 +21001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.013556173 -0.379363669 +21002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.692310691 -0.379363669 +21003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.516021175 -0.379363669 +21007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.090371179 -0.379363669 +21006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.187640174 -0.379363669 +21005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.113143292 -0.379363669 +21004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.255636425 -0.379363669 +21008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.717918644 -0.379363669 +21009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.02314164 -0.379363669 +21010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.017406519 -0.379363669 +21011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.259141221 -0.379363669 +21012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.586322335 -0.379363669 +21013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.117066507 -0.379363669 +21015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.551319552 -0.379363669 +21016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.240478776 -0.379363669 +21017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.46313403 -0.379363669 +21014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.391292339 -0.379363669 +21018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.511673216 -0.379363669 +21019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.264824378 -0.379363669 +21020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.539744016 -0.379363669 +21021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.866963742 -0.379363669 +21023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.510424593 -0.379363669 +21024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.331151151 -0.379363669 +21025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.529386759 -0.379363669 +21022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.400378929 -0.379363669 +21026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.3035169 -0.379363669 +21027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.479914672 -0.379363669 +21029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.336201608 -0.379363669 +21028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.3926802 -0.379363669 +21030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.51530181 -0.379363669 +21033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.698115605 -0.379363669 +21034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.72627326 -0.379363669 +21032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.212581007 -0.379363669 +21031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.725560022 -0.379363669 +21035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.039250824 -0.379363669 +21036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.41302453 -0.379363669 +21037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.603791552 -0.379363669 +21038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.425703935 -0.379363669 +21039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.077904723 -0.379363669 +21040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.775885457 -0.379363669 +21042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.144635261 -0.379363669 +21043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.531671743 -0.379363669 +21044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.634366731 -0.379363669 +21041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.39793428 -0.379363669 +21045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.763893304 -0.379363669 +21046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.53337083 -0.379363669 +21048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.204278211 -0.379363669 +21047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.828144816 -0.379363669 +21049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.143465714 -0.379363669 +21050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.725211635 -0.379363669 +21054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.177341946 -0.379363669 +21053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.220222988 -0.379363669 +21051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.481779009 -0.379363669 +21057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.663725886 -0.379363669 +21056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.573472187 -0.379363669 +21052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.531762448 -0.379363669 +21058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.564687688 -0.379363669 +21061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.051559856 -0.379363669 +21060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.03366195 -0.379363669 +21055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.476309796 -0.379363669 +21059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.643421464 -0.379363669 +21062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.529298 -0.379363669 +21064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.700935054 -0.379363669 +21065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.550749299 -0.379363669 +21066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.720996394 -0.379363669 +21063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.563063376 -0.379363669 +21068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.381905158 -0.379363669 +21067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.426338101 -0.379363669 +21069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.489213212 -0.379363669 +21070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.277469559 -0.379363669 +21072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.283834887 -0.379363669 +21073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.468719541 -0.379363669 +21074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.393231857 -0.379363669 +21076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.650157171 -0.379363669 +21075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.766795695 -0.379363669 +21077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.306117639 -0.379363669 +21071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.309466068 -0.379363669 +21078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.803768935 -0.379363669 +21079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.307852679 -0.379363669 +21082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.027808604 -0.379363669 +21081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.082429398 -0.379363669 +21084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.772375579 -0.379363669 +21085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.850709912 -0.379363669 +21083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.126887532 -0.379363669 +21080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.257527767 -0.379363669 +21086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.154619325 -0.379363669 +21087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.033372691 -0.379363669 +21088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -1.40E-04 -0.379363669 +21089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.091838633 -0.379363669 +21090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.677283346 -0.379363669 +21092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.473516744 -0.379363669 +21094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.415647473 -0.379363669 +21093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.663564546 -0.379363669 +21095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.046041305 -0.379363669 +21096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.400962298 -0.379363669 +21097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.757126291 -0.379363669 +21098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.309662967 -0.379363669 +21100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.06878921 -0.379363669 +21101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.010983479 -0.379363669 +21091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.420349591 -0.379363669 +21099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.465508755 -0.379363669 +21102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.502176375 -0.379363669 +21103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.67824308 -0.379363669 +21104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.768822104 -0.379363669 +21105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.048340675 -0.379363669 +21106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.154869705 -0.379363669 +21107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.175688088 -0.379363669 +21108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.697184253 -0.379363669 +21109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.496066726 -0.379363669 +21111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.580229403 -0.379363669 +21112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.003312425 -0.379363669 +21113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.450306737 -0.379363669 +21114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.550476461 -0.379363669 +21115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.128783168 -0.379363669 +21118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.232989677 -0.379363669 +21110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.289742474 -0.379363669 +21119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.037482995 -0.379363669 +21117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.003594714 -0.379363669 +21116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.886951927 -0.379363669 +21120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.256286463 -0.379363669 +21122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.761550575 -0.379363669 +21123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.729231253 -0.379363669 +21124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.438875976 -0.379363669 +21125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.753725241 -0.379363669 +21126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.298657542 -0.379363669 +21121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.113988513 -0.379363669 +21128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.419488439 -0.379363669 +21127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.064402539 -0.379363669 +21129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.606128293 -0.379363669 +21130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.315107679 -0.379363669 +21132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.306600696 -0.379363669 +21133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.02872423 -0.379363669 +21131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.503669794 -0.379363669 +21134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.309884717 -0.379363669 +21135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.815915135 -0.379363669 +21137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.110079661 -0.379363669 +21136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.22798428 -0.379363669 +21139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.032441056 -0.379363669 +21142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.273965687 -0.379363669 +21141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.09807387 -0.379363669 +21138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.051430907 -0.379363669 +21140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.703422643 -0.379363669 +21143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.474880681 -0.379363669 +21144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.452344557 -0.379363669 +21146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.131341275 -0.379363669 +21145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.214444469 -0.379363669 +21148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.580517352 -0.379363669 +21149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.542014503 -0.379363669 +21150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.281083824 -0.379363669 +21151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.215533393 -0.379363669 +21147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.203826429 -0.379363669 +21152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.029596773 -0.379363669 +21153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.254322959 -0.379363669 +21155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.757375994 -0.379363669 +21157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.521076918 -0.379363669 +21156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.516217316 -0.379363669 +21159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.576193126 -0.379363669 +21158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.63450934 -0.379363669 +21161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.158667708 -0.379363669 +21160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.357882881 -0.379363669 +21154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.168086325 -0.379363669 +21162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.189034641 -0.379363669 +21163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.759477462 -0.379363669 +21164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.644024716 -0.379363669 +21166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.643453111 -0.379363669 +21165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.616714725 -0.379363669 +21167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.012804721 -0.379363669 +21168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.478815107 -0.379363669 +21169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.098932969 -0.379363669 +21172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.504923111 -0.379363669 +21170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.317033403 -0.379363669 +21171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.287022902 -0.379363669 +21174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.044637537 -0.379363669 +21173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.499968518 -0.379363669 +21175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.890239466 -0.379363669 +21176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.078148041 -0.379363669 +21177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.48345105 -0.379363669 +21178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.599278436 -0.379363669 +21179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.319286248 -0.379363669 +21180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.10255947 -0.379363669 +21182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.068601356 -0.379363669 +21181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.76283555 -0.379363669 +21183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.436565073 -0.379363669 +21184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.692030371 -0.379363669 +21185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.089325153 -0.379363669 +21187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.500339694 -0.379363669 +21186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.681504386 -0.379363669 +21188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.132339136 -0.379363669 +21189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.166299556 -0.379363669 +21190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.017943566 -0.379363669 +21191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.558197451 -0.379363669 +21192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.182128518 -0.379363669 +21195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.867590037 -0.379363669 +21194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.113099519 -0.379363669 +21193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.064548993 -0.379363669 +21196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.434224422 -0.379363669 +21197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.692377802 -0.379363669 +21198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.326684328 -0.379363669 +21200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.565156682 -0.379363669 +21199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.426816567 -0.379363669 +21201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.225380694 -0.379363669 +21202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.279297103 -0.379363669 +21204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.061780936 -0.379363669 +21203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.777347845 -0.379363669 +21205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.525976369 -0.379363669 +21206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.615386219 -0.379363669 +21207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.09901859 -0.379363669 +21209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.241077227 -0.379363669 +21208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.206538633 -0.379363669 +21211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.234552471 -0.379363669 +21210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.102319339 -0.379363669 +21214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.31121158 -0.379363669 +21215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.282023161 -0.379363669 +21212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.384455806 -0.379363669 +21216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.434849087 -0.379363669 +21217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.721109402 -0.379363669 +21218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.802702398 -0.379363669 +21213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.807237464 -0.379363669 +21219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.456317146 -0.379363669 +21221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.40468879 -0.379363669 +21220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.261829942 -0.379363669 +21223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.162666042 -0.379363669 +21222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.698966056 -0.379363669 +21224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.020600886 -0.379363669 +21226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.701703876 -0.379363669 +21227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.537759065 -0.379363669 +21225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.671621594 -0.379363669 +21228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.021580024 -0.379363669 +21229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.357207377 -0.379363669 +21230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.67207828 -0.379363669 +21231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.014407489 -0.379363669 +21232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.178007963 -0.379363669 +21233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.731198763 -0.379363669 +21234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.563495764 -0.379363669 +21236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.040977423 -0.379363669 +21237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.111586786 -0.379363669 +21235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.843089822 -0.379363669 +21238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.782455037 -0.379363669 +21241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.515571342 -0.379363669 +21240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.743239623 -0.379363669 +21242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.320757498 -0.379363669 +21245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.07749256 -0.379363669 +21244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.237756186 -0.379363669 +21239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.594888717 -0.379363669 +21246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.336609035 -0.379363669 +21243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.019931703 -0.379363669 +21247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.387426981 -0.379363669 +21248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.372906181 -0.379363669 +21249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.145779081 -0.379363669 +21250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.033749153 -0.379363669 +21253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.503038024 -0.379363669 +21251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.61185448 -0.379363669 +21255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.441780952 -0.379363669 +21256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.400850074 -0.379363669 +21252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.232527487 -0.379363669 +21254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.267170286 -0.379363669 +21257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.096019083 -0.379363669 +21258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.13476832 -0.379363669 +21260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.583345875 -0.379363669 +21261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.389124424 -0.379363669 +21264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.32224032 -0.379363669 +21259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.642681141 -0.379363669 +21262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.540982846 -0.379363669 +21263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.462234186 -0.379363669 +21265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.500721097 -0.379363669 +21266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.243234051 -0.379363669 +21267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.51598702 -0.379363669 +21270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.166856412 -0.379363669 +21269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.302192721 -0.379363669 +21268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.49554189 -0.379363669 +21271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.545670105 -0.379363669 +21273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.689402582 -0.379363669 +21274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.01270996 -0.379363669 +21275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.592136552 -0.379363669 +21272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.348049559 -0.379363669 +21277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.477776471 -0.379363669 +21278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.079356641 -0.379363669 +21276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.326476941 -0.379363669 +21279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.204123699 -0.379363669 +21280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.01495524 -0.379363669 +21281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.6727129 -0.379363669 +21282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.660878972 -0.379363669 +21283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.449606991 -0.379363669 +21284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.577770073 -0.379363669 +21286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.131113357 -0.379363669 +21285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.206745047 -0.379363669 +21287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.136569385 -0.379363669 +21288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.035103891 -0.379363669 +21289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.813718593 -0.379363669 +21290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.111307547 -0.379363669 +21293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.617912254 -0.379363669 +21295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.457463317 -0.379363669 +21292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.007338118 -0.379363669 +21294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.163763571 -0.379363669 +21291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.496249261 -0.379363669 +21297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.505402029 -0.379363669 +21296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.404259228 -0.379363669 +21298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.155963387 -0.379363669 +21301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.669501941 -0.379363669 +21302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.241596638 -0.379363669 +21300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.092682404 -0.379363669 +21299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.83275747 -0.379363669 +21303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.738189931 -0.379363669 +21305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.661751324 -0.379363669 +21304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.468450126 -0.379363669 +21306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.377028882 -0.379363669 +21310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.156878969 -0.379363669 +21307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.029121619 -0.379363669 +21309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.730257799 -0.379363669 +21308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.204864957 -0.379363669 +21312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.625975815 -0.379363669 +21311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.654844258 -0.379363669 +21313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.251964464 -0.379363669 +21314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.015811483 -0.379363669 +21316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.400902688 -0.379363669 +21315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.069793486 -0.379363669 +21317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.571865346 -0.379363669 +21318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.144869795 -0.379363669 +21319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.547621603 -0.379363669 +21321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.681984536 -0.379363669 +21322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.367302641 -0.379363669 +21320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.193551584 -0.379363669 +21324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.804776403 -0.379363669 +21325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.377994634 -0.379363669 +21323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.417237192 -0.379363669 +21326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.641004342 -0.379363669 +21328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.499875099 -0.379363669 +21327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.44423379 -0.379363669 +21329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.768306354 -0.379363669 +21330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.202684232 -0.379363669 +21332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.017864074 -0.379363669 +21331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.473651695 -0.379363669 +21333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.069741688 -0.379363669 +21334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.755066362 -0.379363669 +21335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.674262239 -0.379363669 +21336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.51590135 -0.379363669 +21337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.185323862 -0.379363669 +21340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.312276939 -0.379363669 +21339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.608988986 -0.379363669 +21341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.249281536 -0.379363669 +21338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.367874863 -0.379363669 +21342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.169896719 -0.379363669 +21344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.241083418 -0.379363669 +21343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.137526818 -0.379363669 +21345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.870156617 -0.379363669 +21346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.848815239 -0.379363669 +21347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.372092617 -0.379363669 +21348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.554925519 -0.379363669 +21349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.671149069 -0.379363669 +21350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.749285134 -0.379363669 +21351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.65834064 -0.379363669 +21352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.483278504 -0.379363669 +21353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.091968085 -0.379363669 +21355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.501020809 -0.379363669 +21354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.027673182 -0.379363669 +21356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.799388323 -0.379363669 +21358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.266574629 -0.379363669 +21357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.435903341 -0.379363669 +21359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.335408561 -0.379363669 +21361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.097354246 -0.379363669 +21360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.43408435 -0.379363669 +21363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.06124122 -0.379363669 +21362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.839010212 -0.379363669 +21364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.436489932 -0.379363669 +21365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.081003861 -0.379363669 +21366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.450494668 -0.379363669 +21367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.208348031 -0.379363669 +21368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.51421881 -0.379363669 +21369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.432278084 -0.379363669 +21370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.192594768 -0.379363669 +21371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.658375972 -0.379363669 +21372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.391238205 -0.379363669 +21373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.539384857 -0.379363669 +21374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.778178041 -0.379363669 +21375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.097116903 -0.379363669 +21376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.010372746 -0.379363669 +21377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.362162039 -0.379363669 +21378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.154124049 -0.379363669 +21379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.782274897 -0.379363669 +21380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.251854274 -0.379363669 +21381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.027977158 -0.379363669 +21383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.205472455 -0.379363669 +21382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.402839872 -0.379363669 +21384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.109482797 -0.379363669 +21387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.073767048 -0.379363669 +21386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.627823072 -0.379363669 +21385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.29288898 -0.379363669 +21388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.451894407 -0.379363669 +21389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.470496955 -0.379363669 +21392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.075055547 -0.379363669 +21390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.216900929 -0.379363669 +21395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.407052993 -0.379363669 +21394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.626010091 -0.379363669 +21393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.135387171 -0.379363669 +21396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.009712595 -0.379363669 +21391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.668234269 -0.379363669 +21397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.299034781 -0.379363669 +21398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.0884438 -0.379363669 +21399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.516022064 -0.379363669 +21400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.68840472 -0.379363669 +21401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.479896998 -0.379363669 +21403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.080365901 -0.379363669 +21402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.336994147 -0.379363669 +21404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.43261413 -0.379363669 +21405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.572126339 -0.379363669 +21406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.223661605 -0.379363669 +21407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.0678331 -0.379363669 +21408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.240227525 -0.379363669 +21409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.380598166 -0.379363669 +21411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.049679288 -0.379363669 +21410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.157081383 -0.379363669 +21412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.041544592 -0.379363669 +21413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.708292782 -0.379363669 +21415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.464690392 -0.379363669 +21414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.173582472 -0.379363669 +21417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.607124996 -0.379363669 +21416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.757498551 -0.379363669 +21419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.253171637 -0.379363669 +21418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.07173652 -0.379363669 +21420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.266798299 -0.379363669 +21421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.730008443 -0.379363669 +21422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.708839059 -0.379363669 +21424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.431828044 -0.379363669 +21423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.134880429 -0.379363669 +21425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.723900292 -0.379363669 +21427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.333187689 -0.379363669 +21426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.191494293 -0.379363669 +21428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.290406636 -0.379363669 +21429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.174113996 -0.379363669 +21430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.726545314 -0.379363669 +21431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.45848514 -0.379363669 +21433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.634883432 -0.379363669 +21432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.435112879 -0.379363669 +21434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.805245575 -0.379363669 +21435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.060244928 -0.379363669 +21437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.46482509 -0.379363669 +21436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.264237044 -0.379363669 +21438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.558971626 -0.379363669 +21441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.164198768 -0.379363669 +21439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.369544165 -0.379363669 +21442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.398536879 -0.379363669 +21443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.014482266 -0.379363669 +21440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.551152462 -0.379363669 +21444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.586217636 -0.379363669 +21446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.270608269 -0.379363669 +21445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.617013171 -0.379363669 +21448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.424347287 -0.379363669 +21449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.441937898 -0.379363669 +21447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.070356412 -0.379363669 +21450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.906577722 -0.379363669 +21451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.083243786 -0.379363669 +21452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.625953452 -0.379363669 +21453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.218339968 -0.379363669 +21455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.677203756 -0.379363669 +21456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.041011652 -0.379363669 +21454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.19277277 -0.379363669 +21457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.208683883 -0.379363669 +21459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.400774645 -0.379363669 +21458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.459291181 -0.379363669 +21460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.641793385 -0.379363669 +21462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.202288317 -0.379363669 +21463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.423276013 -0.379363669 +21461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.363011606 -0.379363669 +21465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.109052312 -0.379363669 +21464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.457189955 -0.379363669 +21466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.169827791 -0.379363669 +21467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.216804348 -0.379363669 +21468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.269076726 -0.379363669 +21470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.527518981 -0.379363669 +21469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.209119034 -0.379363669 +21472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.12223507 -0.379363669 +21471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.294134226 -0.379363669 +21474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.333394246 -0.379363669 +21475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.596323292 -0.379363669 +21476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.413141417 -0.379363669 +21473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.541940183 -0.379363669 +21477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.737034064 -0.379363669 +21478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.554091127 -0.379363669 +21479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.44548868 -0.379363669 +21480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.210179578 -0.379363669 +21481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.7760941 -0.379363669 +21482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.401223606 -0.379363669 +21483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.274488029 -0.379363669 +21484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.00605036 -0.379363669 +21485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.359267262 -0.379363669 +21486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.626517972 -0.379363669 +21488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.068173469 -0.379363669 +21490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.286606624 -0.379363669 +21487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.627680134 -0.379363669 +21489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.209426454 -0.379363669 +21491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.131281306 -0.379363669 +21494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.762582345 -0.379363669 +21493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.442229484 -0.379363669 +21492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.344063311 -0.379363669 +21497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.591416279 -0.379363669 +21496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.055236632 -0.379363669 +21498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.276419674 -0.379363669 +21495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.773267377 -0.379363669 +21499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.019710711 -0.379363669 +21500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.662802135 -0.379363669 +21501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.513131083 -0.379363669 +21502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.097677846 -0.379363669 +21506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.301622044 -0.379363669 +21504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.572451869 -0.379363669 +21505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.220128239 -0.379363669 +21507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.250543611 -0.379363669 +21503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.319920695 -0.379363669 +21508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.255887641 -0.379363669 +21509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.284324181 -0.379363669 +21512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.234271598 -0.379363669 +21513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.544110261 -0.379363669 +21514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.553106624 -0.379363669 +21511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.541075101 -0.379363669 +21510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.838195882 -0.379363669 +21515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.078866783 -0.379363669 +21516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.068497382 -0.379363669 +21517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.600474056 -0.379363669 +21518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.498120405 -0.379363669 +21520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.408269232 -0.379363669 +21521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.816207008 -0.379363669 +21519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.448756325 -0.379363669 +21523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.445960917 -0.379363669 +21522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.639609465 -0.379363669 +21524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.162725819 -0.379363669 +21525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.035031847 -0.379363669 +21526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.234461318 -0.379363669 +21528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.393776985 -0.379363669 +21527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.068491062 -0.379363669 +21529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.010586368 -0.379363669 +21530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.414103004 -0.379363669 +21532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.651171491 -0.379363669 +21534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.113046931 -0.379363669 +21533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.123126543 -0.379363669 +21536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.626306655 -0.379363669 +21535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.333952414 -0.379363669 +21537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.477980535 -0.379363669 +21531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.166725792 -0.379363669 +21538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.02900327 -0.379363669 +21539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.214905597 -0.379363669 +21540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.161834135 -0.379363669 +21541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.353071986 -0.379363669 +21543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.560449371 -0.379363669 +21542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.355013554 -0.379363669 +21545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.017915985 -0.379363669 +21544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.457613065 -0.379363669 +21546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.807460665 -0.379363669 +21548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.547336768 -0.379363669 +21547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.705417269 -0.379363669 +21550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.338538838 -0.379363669 +21549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.212432314 -0.379363669 +21551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.161499948 -0.379363669 +21552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.400984687 -0.379363669 +21553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.646779188 -0.379363669 +21554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.607497747 -0.379363669 +21555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.419060964 -0.379363669 +21556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.798860138 -0.379363669 +21558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.613717331 -0.379363669 +21559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.694616735 -0.379363669 +21560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.443899146 -0.379363669 +21557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.278448643 -0.379363669 +21562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.651902461 -0.379363669 +21563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.507538497 -0.379363669 +21564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.831525604 -0.379363669 +21565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.177362462 -0.379363669 +21566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.643398855 -0.379363669 +21561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.349917647 -0.379363669 +21567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.738778002 -0.379363669 +21568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.702661264 -0.379363669 +21569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.542408999 -0.379363669 +21571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.079342576 -0.379363669 +21570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.045284811 -0.379363669 +21572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.087367545 -0.379363669 +21573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.065542583 -0.379363669 +21575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.039219188 -0.379363669 +21577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.101677213 -0.379363669 +21574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.6291729 -0.379363669 +21578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.481198559 -0.379363669 +21579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.004630192 -0.379363669 +21576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.448859795 -0.379363669 +21580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.75968828 -0.379363669 +21581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.48658658 -0.379363669 +21583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.00366948 -0.379363669 +21582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.180316894 -0.379363669 +21585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.297446176 -0.379363669 +21586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.458696731 -0.379363669 +21587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.120715937 -0.379363669 +21584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.110636308 -0.379363669 +21588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.105840223 -0.379363669 +21589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.38769758 -0.379363669 +21590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.566849038 -0.379363669 +21591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.522737774 -0.379363669 +21593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.24392436 -0.379363669 +21592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.673999248 -0.379363669 +21594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.543907303 -0.379363669 +21596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.431811008 -0.379363669 +21597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.12884261 -0.379363669 +21595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.40709368 -0.379363669 +21599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.433611299 -0.379363669 +21598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.034042615 -0.379363669 +21600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.276674036 -0.379363669 +21601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.403981657 -0.379363669 +21602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.058246271 -0.379363669 +21603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.219254221 -0.379363669 +21604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.491095079 -0.379363669 +21605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.223545039 -0.379363669 +21606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.200621923 -0.379363669 +21607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.107106693 -0.379363669 +21610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.720569976 -0.379363669 +21608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.246232825 -0.379363669 +21609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.712516273 -0.379363669 +21612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.235399725 -0.379363669 +21611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.38774521 -0.379363669 +21614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.768557644 -0.379363669 +21615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.182803435 -0.379363669 +21617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.738979081 -0.379363669 +21613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.686218025 -0.379363669 +21618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.363071957 -0.379363669 +21616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.054785835 -0.379363669 +21619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.390095021 -0.379363669 +21620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.510623662 -0.379363669 +21622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.537713134 -0.379363669 +21624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.155777696 -0.379363669 +21625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.213668629 -0.379363669 +21621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.094496115 -0.379363669 +21623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.455472502 -0.379363669 +21626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.005930366 -0.379363669 +21627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.38092231 -0.379363669 +21628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.266363175 -0.379363669 +21629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.807607802 -0.379363669 +21630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.655810302 -0.379363669 +21631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.239007427 -0.379363669 +21632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.424163763 -0.379363669 +21633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.379942457 -0.379363669 +21634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.234969294 -0.379363669 +21635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.139862754 -0.379363669 +21636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.673454751 -0.379363669 +21639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.007162028 -0.379363669 +21638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.124769795 -0.379363669 +21637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.438566026 -0.379363669 +21640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.147149239 -0.379363669 +21641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.168779425 -0.379363669 +21643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.313571693 -0.379363669 +21642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.069065395 -0.379363669 +21644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.057830107 -0.379363669 +21645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.503644504 -0.379363669 +21647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.535692201 -0.379363669 +21648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.225035266 -0.379363669 +21646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.623904605 -0.379363669 +21649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.703868068 -0.379363669 +21650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.835912816 -0.379363669 +21652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.61624587 -0.379363669 +21653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.582729188 -0.379363669 +21654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.842706231 -0.379363669 +21655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.056870988 -0.379363669 +21656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.054247419 -0.379363669 +21657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.427373963 -0.379363669 +21651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.454537374 -0.379363669 +21659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.388550235 -0.379363669 +21658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.799329748 -0.379363669 +21660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.546435154 -0.379363669 +21661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.191740186 -0.379363669 +21662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.344988797 -0.379363669 +21663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.78993114 -0.379363669 +21664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.072323518 -0.379363669 +21665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.106119693 -0.379363669 +21667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.259336968 -0.379363669 +21666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.432004685 -0.379363669 +21668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.623524856 -0.379363669 +21669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.520789383 -0.379363669 +21670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.405830195 -0.379363669 +21671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.362447706 -0.379363669 +21675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.458039593 -0.379363669 +21674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.168995522 -0.379363669 +21672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.110561533 -0.379363669 +21676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.185819706 -0.379363669 +21678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.399913025 -0.379363669 +21677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.574288127 -0.379363669 +21673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.609698455 -0.379363669 +21679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.191235286 -0.379363669 +21680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.502558074 -0.379363669 +21681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.153000582 -0.379363669 +21682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.49960828 -0.379363669 +21683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.340428066 -0.379363669 +21684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.514324164 -0.379363669 +21685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.319194757 -0.379363669 +21686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.41618913 -0.379363669 +21687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.466335633 -0.379363669 +21689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.090626313 -0.379363669 +21690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.451424063 -0.379363669 +21688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.387302715 -0.379363669 +21692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.479441432 -0.379363669 +21691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.753632593 -0.379363669 +21693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.561850453 -0.379363669 +21695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.377721122 -0.379363669 +21696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.239525574 -0.379363669 +21698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.652678238 -0.379363669 +21694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.455776859 -0.379363669 +21697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.126381395 -0.379363669 +21699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.099069734 -0.379363669 +21700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.174719876 -0.379363669 +21701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.207441247 -0.379363669 +21703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.0446051 -0.379363669 +21702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.81779203 -0.379363669 +21706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.018162547 -0.379363669 +21705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.133459109 -0.379363669 +21704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.48868721 -0.379363669 +21707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.434139292 -0.379363669 +21709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.623668541 -0.379363669 +21708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.443981737 -0.379363669 +21711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.446591946 -0.379363669 +21710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.750550943 -0.379363669 +21714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.144580593 -0.379363669 +21712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.415407154 -0.379363669 +21715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.134005408 -0.379363669 +21717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.011763619 -0.379363669 +21716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.466803927 -0.379363669 +21713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.234665912 -0.379363669 +21719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.706318062 -0.379363669 +21718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.173267349 -0.379363669 +21720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.05625843 -0.379363669 +21721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.106824901 -0.379363669 +21724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.091726908 -0.379363669 +21723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.581136005 -0.379363669 +21722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.008981498 -0.379363669 +21726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.485944783 -0.379363669 +21727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.160531085 -0.379363669 +21725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.415194751 -0.379363669 +21729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.373786959 -0.379363669 +21728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.002702179 -0.379363669 +21730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.685976445 -0.379363669 +21731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.1513315 -0.379363669 +21732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.711462602 -0.379363669 +21733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.465707416 -0.379363669 +21734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.400026671 -0.379363669 +21735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.227269996 -0.379363669 +21736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.276796988 -0.379363669 +21737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.498621448 -0.379363669 +21740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.164079177 -0.379363669 +21739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.435708313 -0.379363669 +21738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.004116047 -0.379363669 +21741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.023336971 -0.379363669 +21742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.11827349 -0.379363669 +21744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.364894793 -0.379363669 +21745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.607422076 -0.379363669 +21746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.431170583 -0.379363669 +21747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.057899447 -0.379363669 +21748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.024073839 -0.379363669 +21743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.003573953 -0.379363669 +21749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.60139377 -0.379363669 +21750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.268720858 -0.379363669 +21751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.044705402 -0.379363669 +21752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.200856553 -0.379363669 +21753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.618997713 -0.379363669 +21754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.066178183 -0.379363669 +21755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.574958722 -0.379363669 +21757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.379882522 -0.379363669 +21756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.788126277 -0.379363669 +21758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.159494943 -0.379363669 +21759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.225578053 -0.379363669 +21760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.633397044 -0.379363669 +21761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.439955688 -0.379363669 +21763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.4347125 -0.379363669 +21762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.120934413 -0.379363669 +21764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.341133536 -0.379363669 +21766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.341274327 -0.379363669 +21765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.178593877 -0.379363669 +21767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.647550317 -0.379363669 +21768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.809463652 -0.379363669 +21769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.507584645 -0.379363669 +21770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.456408232 -0.379363669 +21771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.742632096 -0.379363669 +21772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.219053161 -0.379363669 +21773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.541944172 -0.379363669 +21774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.402332188 -0.379363669 +21775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.394401555 -0.379363669 +21776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.289408707 -0.379363669 +21778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.211643219 -0.379363669 +21780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.419036831 -0.379363669 +21777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.778618331 -0.379363669 +21779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.514146774 -0.379363669 +21781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.51440485 -0.379363669 +21783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.202241977 -0.379363669 +21784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.462021051 -0.379363669 +21785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.812562538 -0.379363669 +21782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.002290285 -0.379363669 +21786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.275936466 -0.379363669 +21787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.084969771 -0.379363669 +21788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.146576464 -0.379363669 +21789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.039511528 -0.379363669 +21790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -1.008058792 -0.379363669 +21791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.050837196 -0.379363669 +21792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.686913623 -0.379363669 +21793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.750317423 -0.379363669 +21796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.552852686 -0.379363669 +21794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.135480997 -0.379363669 +21795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.644033455 -0.379363669 +21797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.590233168 -0.379363669 +21798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.691293211 -0.379363669 +21799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.048820422 -0.379363669 +21800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.268280728 -0.379363669 +21802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.143808589 -0.379363669 +21804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.05126359 -0.379363669 +21803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.617852312 -0.379363669 +21805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.412634124 -0.379363669 +21801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.352112109 -0.379363669 +21806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.44999282 -0.379363669 +21808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.265389813 -0.379363669 +21809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.086888185 -0.379363669 +21807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.045938314 -0.379363669 +21810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.575553185 -0.379363669 +21812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.074356615 -0.379363669 +21811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.299997874 -0.379363669 +21813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.36241296 -0.379363669 +21814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.123435417 -0.379363669 +21815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.782426775 -0.379363669 +21816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.251662774 -0.379363669 +21817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.669960556 -0.379363669 +21818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.448242176 -0.379363669 +21820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.333946224 -0.379363669 +21819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.385220799 -0.379363669 +21823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.245736486 -0.379363669 +21822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.468933867 -0.379363669 +21824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.165164128 -0.379363669 +21825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.517116489 -0.379363669 +21821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.506464664 -0.379363669 +21826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.798358052 -0.379363669 +21828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.120465719 -0.379363669 +21827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.610032832 -0.379363669 +21831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.493121896 -0.379363669 +21830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.614859157 -0.379363669 +21832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.611382535 -0.379363669 +21829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.694970574 -0.379363669 +21833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.515172571 -0.379363669 +21834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.468217238 -0.379363669 +21835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.091441245 -0.379363669 +21836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.120923902 -0.379363669 +21837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.055804293 -0.379363669 +21838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.408883394 -0.379363669 +21839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.036855241 -0.379363669 +21840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.618454991 -0.379363669 +21842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.432222138 -0.379363669 +21844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.241183601 -0.379363669 +21843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.052130054 -0.379363669 +21841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.40772025 -0.379363669 +21845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.017475095 -0.379363669 +21846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.210716393 -0.379363669 +21847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.642444512 -0.379363669 +21849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.205460223 -0.379363669 +21848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.376664429 -0.379363669 +21851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.470695069 -0.379363669 +21850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.648168768 -0.379363669 +21852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.293728344 -0.379363669 +21853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.76254619 -0.379363669 +21854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.137406359 -0.379363669 +21856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.59119528 -0.379363669 +21857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.025343856 -0.379363669 +21858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.328340448 -0.379363669 +21855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.600327922 -0.379363669 +21859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.741395902 -0.379363669 +21861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.705820953 -0.379363669 +21860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.281507986 -0.379363669 +21862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.82392818 -0.379363669 +21863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.185557125 -0.379363669 +21864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.480915609 -0.379363669 +21866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.404832507 -0.379363669 +21865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.741680185 -0.379363669 +21867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.015651712 -0.379363669 +21868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.600780405 -0.379363669 +21870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.547084252 -0.379363669 +21871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.400072206 -0.379363669 +21869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.424578048 -0.379363669 +21874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.627528523 -0.379363669 +21872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.664379975 -0.379363669 +21875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.738304585 -0.379363669 +21873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.718418235 -0.379363669 +21876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.328769506 -0.379363669 +21877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.558628108 -0.379363669 +21878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.776434116 -0.379363669 +21879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.262551277 -0.379363669 +21880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.045503744 -0.379363669 +21881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.814498298 -0.379363669 +21882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.642437342 -0.379363669 +21884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.63134152 -0.379363669 +21883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.451606443 -0.379363669 +21885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.053429741 -0.379363669 +21886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.55072064 -0.379363669 +21887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.326246608 -0.379363669 +21888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.566544487 -0.379363669 +21889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.014723553 -0.379363669 +21890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.632644677 -0.379363669 +21892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.454955748 -0.379363669 +21891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.574170684 -0.379363669 +21893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.081196061 -0.379363669 +21894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.40559251 -0.379363669 +21895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.356885469 -0.379363669 +21896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.788465403 -0.379363669 +21898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.581405403 -0.379363669 +21897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.009472489 -0.379363669 +21899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.162939015 -0.379363669 +21900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.450028553 -0.379363669 +21902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.005714714 -0.379363669 +21901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.467792063 -0.379363669 +21904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.812720026 -0.379363669 +21905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.487693546 -0.379363669 +21907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.634774905 -0.379363669 +21906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.191400334 -0.379363669 +21908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.387816029 -0.379363669 +21909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.168036488 -0.379363669 +21910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.139683454 -0.379363669 +21903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.423075167 -0.379363669 +21911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.434523204 -0.379363669 +21912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.047122909 -0.379363669 +21914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.668725304 -0.379363669 +21915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.102042465 -0.379363669 +21916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.42316017 -0.379363669 +21917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.172907795 -0.379363669 +21913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.664165573 -0.379363669 +21918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.327720776 -0.379363669 +21920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.572068559 -0.379363669 +21919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.747918607 -0.379363669 +21921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.600321975 -0.379363669 +21922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.29175372 -0.379363669 +21923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.001611824 -0.379363669 +21924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.145620396 -0.379363669 +21926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.514983595 -0.379363669 +21925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.59777974 -0.379363669 +21929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.799888612 -0.379363669 +21928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.745734138 -0.379363669 +21930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.497823598 -0.379363669 +21927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.105856907 -0.379363669 +21931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.15532647 -0.379363669 +21933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.16743102 -0.379363669 +21932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.575451706 -0.379363669 +21934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.668179721 -0.379363669 +21935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.318847714 -0.379363669 +21936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.196687596 -0.379363669 +21937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.838750312 -0.379363669 +21938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.228962125 -0.379363669 +21939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.052187984 -0.379363669 +21940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.232268144 -0.379363669 +21941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.699315595 -0.379363669 +21943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.801643789 -0.379363669 +21945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.380794065 -0.379363669 +21947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.586769836 -0.379363669 +21944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.443341741 -0.379363669 +21942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.504176985 -0.379363669 +21946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.534542118 -0.379363669 +21948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.081005052 -0.379363669 +21949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.659920591 -0.379363669 +21950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.187461745 -0.379363669 +21953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.346028749 -0.379363669 +21952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.11428924 -0.379363669 +21951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.242370787 -0.379363669 +21954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.349674787 -0.379363669 +21955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.496930835 -0.379363669 +21956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.369172624 -0.379363669 +21958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.273559236 -0.379363669 +21959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.050638161 -0.379363669 +21960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.385385233 -0.379363669 +21961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.801487134 -0.379363669 +21957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.131677002 -0.379363669 +21963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.467424798 -0.379363669 +21964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.559646385 -0.379363669 +21965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.544853323 -0.379363669 +21962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.341210586 -0.379363669 +21967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.100892119 -0.379363669 +21968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.025387681 -0.379363669 +21969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.17744172 -0.379363669 +21966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.52199261 -0.379363669 +21971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.573953039 -0.379363669 +21972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.478916042 -0.379363669 +21973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.553507945 -0.379363669 +21970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.589656069 -0.379363669 +21974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.544278266 -0.379363669 +21975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.505445195 -0.379363669 +21977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.63247378 -0.379363669 +21976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.733010777 -0.379363669 +21979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.451990516 -0.379363669 +21982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.028297432 -0.379363669 +21978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.107118767 -0.379363669 +21981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.259525831 -0.379363669 +21983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.0518429 -0.379363669 +21980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.237588057 -0.379363669 +21984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.060107353 -0.379363669 +21985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.148147745 -0.379363669 +21986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.553990572 -0.379363669 +21987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.403187296 -0.379363669 +21988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.506270229 -0.379363669 +21989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.698894669 -0.379363669 +21991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.386780852 -0.379363669 +21992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.642710543 -0.379363669 +21993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.357337334 -0.379363669 +21990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.193732904 -0.379363669 +21994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.050107009 -0.379363669 +21995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.595018017 -0.379363669 +21996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 0.013073837 -0.379363669 +21997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.045873717 -0.379363669 +21998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.059072255 -0.379363669 +21999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.38193645 -0.379363669 +22000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.05 10 1 -0.398420274 -0.379363669 +22002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.048263712 -0.383486205 +22003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.124048664 -0.383486205 +22001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.025757651 -0.383486205 +22004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.607047982 -0.383486205 +22005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.451585496 -0.383486205 +22006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.332203279 -0.383486205 +22007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.027105278 -0.383486205 +22008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.174712124 -0.383486205 +22009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.616287885 -0.383486205 +22010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.00916229 -0.383486205 +22012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.270777767 -0.383486205 +22011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.568445682 -0.383486205 +22014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.247011357 -0.383486205 +22013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.687288373 -0.383486205 +22015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.539208425 -0.383486205 +22016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.378324825 -0.383486205 +22018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.050406511 -0.383486205 +22017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.538867434 -0.383486205 +22021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.255510291 -0.383486205 +22020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.238365578 -0.383486205 +22022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.217164607 -0.383486205 +22019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.131251479 -0.383486205 +22023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.161080222 -0.383486205 +22024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.752925939 -0.383486205 +22025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.625622353 -0.383486205 +22026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.091698112 -0.383486205 +22027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.296072153 -0.383486205 +22029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.34690821 -0.383486205 +22030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.625787109 -0.383486205 +22031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.750599161 -0.383486205 +22028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.502835604 -0.383486205 +22032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.418924018 -0.383486205 +22033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.193218026 -0.383486205 +22034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.115269121 -0.383486205 +22035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.493869744 -0.383486205 +22038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.252320688 -0.383486205 +22036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.423403062 -0.383486205 +22037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.714274881 -0.383486205 +22039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.204856361 -0.383486205 +22041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.599872683 -0.383486205 +22042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.511438968 -0.383486205 +22040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.620010889 -0.383486205 +22043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.446289103 -0.383486205 +22045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.14461359 -0.383486205 +22044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.066330244 -0.383486205 +22046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.4512404 -0.383486205 +22047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.366339078 -0.383486205 +22048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.23975671 -0.383486205 +22049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.663877606 -0.383486205 +22050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.04152681 -0.383486205 +22051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.691938548 -0.383486205 +22053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.679751579 -0.383486205 +22054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.155853857 -0.383486205 +22052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.148242632 -0.383486205 +22056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.63544713 -0.383486205 +22057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.602029543 -0.383486205 +22058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.41922387 -0.383486205 +22055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.518995868 -0.383486205 +22059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.619588768 -0.383486205 +22060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.209486812 -0.383486205 +22061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.374768273 -0.383486205 +22062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.775709028 -0.383486205 +22063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.554727276 -0.383486205 +22065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.125526042 -0.383486205 +22064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.698189356 -0.383486205 +22067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.529257475 -0.383486205 +22066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.054759395 -0.383486205 +22068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.436914777 -0.383486205 +22069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.799894746 -0.383486205 +22071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.320600282 -0.383486205 +22072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.297506418 -0.383486205 +22073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.38180937 -0.383486205 +22070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.352703278 -0.383486205 +22074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.615664999 -0.383486205 +22075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.184329965 -0.383486205 +22076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.509059544 -0.383486205 +22078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.249227063 -0.383486205 +22077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.208229378 -0.383486205 +22080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.631374695 -0.383486205 +22081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.800463629 -0.383486205 +22079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.676402388 -0.383486205 +22082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.543441312 -0.383486205 +22083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.28364342 -0.383486205 +22085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.541862922 -0.383486205 +22086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.122358288 -0.383486205 +22087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.415583667 -0.383486205 +22088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.510938228 -0.383486205 +22084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.646582206 -0.383486205 +22089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.660501995 -0.383486205 +22090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.354359739 -0.383486205 +22092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.370773333 -0.383486205 +22091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.092001519 -0.383486205 +22093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.54495201 -0.383486205 +22096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.289055419 -0.383486205 +22094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.203580737 -0.383486205 +22095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.659618224 -0.383486205 +22097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.616953314 -0.383486205 +22098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.17949103 -0.383486205 +22099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.213800602 -0.383486205 +22101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.022601418 -0.383486205 +22100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.571542511 -0.383486205 +22103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.354047155 -0.383486205 +22102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.084377758 -0.383486205 +22105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.672164973 -0.383486205 +22104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.732369666 -0.383486205 +22106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.241724641 -0.383486205 +22107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.148982311 -0.383486205 +22109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.562213831 -0.383486205 +22108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.583663186 -0.383486205 +22112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.162552991 -0.383486205 +22111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.194034824 -0.383486205 +22110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.257779311 -0.383486205 +22113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.513807934 -0.383486205 +22114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.348139359 -0.383486205 +22115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.626523226 -0.383486205 +22116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.708652395 -0.383486205 +22119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.52166264 -0.383486205 +22118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.10958379 -0.383486205 +22117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.136138833 -0.383486205 +22121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.706765848 -0.383486205 +22120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.512388577 -0.383486205 +22122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.148347424 -0.383486205 +22123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.768037037 -0.383486205 +22124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.723396161 -0.383486205 +22125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.332094095 -0.383486205 +22127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.188525792 -0.383486205 +22128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.775981051 -0.383486205 +22130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.081289848 -0.383486205 +22129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.564211696 -0.383486205 +22126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.075826899 -0.383486205 +22131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.049927959 -0.383486205 +22132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.505156754 -0.383486205 +22134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.195805303 -0.383486205 +22133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.354007707 -0.383486205 +22135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.720784069 -0.383486205 +22136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.470318673 -0.383486205 +22138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.36953933 -0.383486205 +22139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.228007208 -0.383486205 +22137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.455403721 -0.383486205 +22140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.790396827 -0.383486205 +22141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.167446282 -0.383486205 +22143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.028543328 -0.383486205 +22142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.749980343 -0.383486205 +22144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.114338029 -0.383486205 +22146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.201800603 -0.383486205 +22145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.767639392 -0.383486205 +22148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.457324106 -0.383486205 +22149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.201089499 -0.383486205 +22147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.622901602 -0.383486205 +22151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.129178838 -0.383486205 +22150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.689775709 -0.383486205 +22152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.238509045 -0.383486205 +22154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.566983549 -0.383486205 +22153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.623138682 -0.383486205 +22155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.604749756 -0.383486205 +22156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.509693187 -0.383486205 +22158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.069133448 -0.383486205 +22159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.570664922 -0.383486205 +22160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.664853621 -0.383486205 +22161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.32737472 -0.383486205 +22162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.31795307 -0.383486205 +22163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.424652135 -0.383486205 +22164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.74170635 -0.383486205 +22157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.712333541 -0.383486205 +22165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.196592264 -0.383486205 +22166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.474449286 -0.383486205 +22167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.290697388 -0.383486205 +22169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.309041586 -0.383486205 +22168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.038544346 -0.383486205 +22170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.671082115 -0.383486205 +22171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.49429892 -0.383486205 +22172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.708262797 -0.383486205 +22173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.322451874 -0.383486205 +22175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.490623811 -0.383486205 +22174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.35455922 -0.383486205 +22177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.227017847 -0.383486205 +22176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.241499828 -0.383486205 +22178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.37960093 -0.383486205 +22180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.791400442 -0.383486205 +22179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.029445079 -0.383486205 +22181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.409490209 -0.383486205 +22182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.089633052 -0.383486205 +22183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.111685871 -0.383486205 +22185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.260590283 -0.383486205 +22184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.144161178 -0.383486205 +22186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.700237994 -0.383486205 +22187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.570976702 -0.383486205 +22188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.11593844 -0.383486205 +22189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.149242171 -0.383486205 +22190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.286595765 -0.383486205 +22192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.127651674 -0.383486205 +22191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.635450365 -0.383486205 +22193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.666174904 -0.383486205 +22194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.597830931 -0.383486205 +22196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.025454273 -0.383486205 +22195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.079248079 -0.383486205 +22197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.271957019 -0.383486205 +22198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.475533808 -0.383486205 +22199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.821642816 -0.383486205 +22200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.835003788 -0.383486205 +22201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.14447935 -0.383486205 +22202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.261385135 -0.383486205 +22203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.053764739 -0.383486205 +22204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.573530194 -0.383486205 +22205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.475467114 -0.383486205 +22207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.372527702 -0.383486205 +22208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.823824714 -0.383486205 +22210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.692397838 -0.383486205 +22206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.041912629 -0.383486205 +22209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.392492616 -0.383486205 +22211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.031244555 -0.383486205 +22213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.069522621 -0.383486205 +22212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.203193131 -0.383486205 +22214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.06062257 -0.383486205 +22215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.639780228 -0.383486205 +22216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.528008504 -0.383486205 +22219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.352641458 -0.383486205 +22218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.400035586 -0.383486205 +22217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.256285172 -0.383486205 +22221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.688593666 -0.383486205 +22220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.732056994 -0.383486205 +22222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.707774979 -0.383486205 +22223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.031478177 -0.383486205 +22224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.159935383 -0.383486205 +22225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.398054854 -0.383486205 +22226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.043759153 -0.383486205 +22228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.641433385 -0.383486205 +22230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.68554484 -0.383486205 +22229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.25490826 -0.383486205 +22227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.116738637 -0.383486205 +22231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.182488422 -0.383486205 +22232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.566804864 -0.383486205 +22233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.535654093 -0.383486205 +22234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.646089909 -0.383486205 +22236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.225943431 -0.383486205 +22237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.475035172 -0.383486205 +22235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.499999382 -0.383486205 +22238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.49023629 -0.383486205 +22239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.302630776 -0.383486205 +22240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.273269003 -0.383486205 +22241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.052808866 -0.383486205 +22242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.317838803 -0.383486205 +22243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.201425909 -0.383486205 +22244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.045978522 -0.383486205 +22245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.432799701 -0.383486205 +22247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.079145609 -0.383486205 +22248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.296340282 -0.383486205 +22249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.543655927 -0.383486205 +22246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.041911736 -0.383486205 +22250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.206094687 -0.383486205 +22251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.780034361 -0.383486205 +22253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.12333055 -0.383486205 +22252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.275924776 -0.383486205 +22255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.577749975 -0.383486205 +22254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.216564925 -0.383486205 +22256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.077557683 -0.383486205 +22258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.04687443 -0.383486205 +22259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.544094548 -0.383486205 +22257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.295102469 -0.383486205 +22260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.065986444 -0.383486205 +22261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.296337378 -0.383486205 +22263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.195583432 -0.383486205 +22262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.34510759 -0.383486205 +22264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.430004062 -0.383486205 +22266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.623254206 -0.383486205 +22265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.094151769 -0.383486205 +22268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.562511547 -0.383486205 +22267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.034811749 -0.383486205 +22269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.218588632 -0.383486205 +22271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.648688912 -0.383486205 +22270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.184627681 -0.383486205 +22272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.553312286 -0.383486205 +22273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.356461913 -0.383486205 +22274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.596056863 -0.383486205 +22275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.174854156 -0.383486205 +22278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.7599736 -0.383486205 +22279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.324577656 -0.383486205 +22280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.335014155 -0.383486205 +22277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.681892812 -0.383486205 +22281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.60156616 -0.383486205 +22283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.010137855 -0.383486205 +22282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.018069896 -0.383486205 +22276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.488161765 -0.383486205 +22285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.328781486 -0.383486205 +22287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.025980864 -0.383486205 +22284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.356071132 -0.383486205 +22288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.667877935 -0.383486205 +22286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.411691492 -0.383486205 +22289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.416858059 -0.383486205 +22290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.396171711 -0.383486205 +22292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.608146183 -0.383486205 +22294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.031679632 -0.383486205 +22293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.614247075 -0.383486205 +22291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.199514809 -0.383486205 +22296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.012862573 -0.383486205 +22295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.537484876 -0.383486205 +22297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.765768211 -0.383486205 +22298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.486598645 -0.383486205 +22299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.091569169 -0.383486205 +22300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.322086462 -0.383486205 +22303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.41929459 -0.383486205 +22304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.143865424 -0.383486205 +22301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.708127592 -0.383486205 +22305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.335520215 -0.383486205 +22306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.5123882 -0.383486205 +22302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.581204914 -0.383486205 +22308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.152323061 -0.383486205 +22309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.132516819 -0.383486205 +22310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.229137532 -0.383486205 +22307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.296860185 -0.383486205 +22311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.084072341 -0.383486205 +22312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.338352026 -0.383486205 +22313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.835926947 -0.383486205 +22314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.666376659 -0.383486205 +22315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.054102854 -0.383486205 +22316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.718945486 -0.383486205 +22318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.376800477 -0.383486205 +22321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.305163701 -0.383486205 +22320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.582723879 -0.383486205 +22317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.613151227 -0.383486205 +22319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.138768733 -0.383486205 +22322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.167337168 -0.383486205 +22323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.408195786 -0.383486205 +22325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.520871391 -0.383486205 +22324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.24797659 -0.383486205 +22327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.385293692 -0.383486205 +22328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.63181195 -0.383486205 +22326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.0606502 -0.383486205 +22329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.121627935 -0.383486205 +22330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.420897634 -0.383486205 +22331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.028686805 -0.383486205 +22333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.447170861 -0.383486205 +22335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.452910999 -0.383486205 +22334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.591357779 -0.383486205 +22332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.243904268 -0.383486205 +22337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.558506209 -0.383486205 +22336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.338453532 -0.383486205 +22338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.006503916 -0.383486205 +22339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.249934056 -0.383486205 +22340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.440051422 -0.383486205 +22341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.690368464 -0.383486205 +22342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.047086054 -0.383486205 +22343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.525843206 -0.383486205 +22345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.119030501 -0.383486205 +22344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.466248124 -0.383486205 +22347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.126382861 -0.383486205 +22346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.47076002 -0.383486205 +22348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.766666769 -0.383486205 +22349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.593889508 -0.383486205 +22350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.442501883 -0.383486205 +22352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.67634369 -0.383486205 +22351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.013667216 -0.383486205 +22353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.681564795 -0.383486205 +22354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.641464656 -0.383486205 +22355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.653698866 -0.383486205 +22356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.191900322 -0.383486205 +22357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.044871173 -0.383486205 +22359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.311373091 -0.383486205 +22358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.312848485 -0.383486205 +22360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.666426732 -0.383486205 +22361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.282927407 -0.383486205 +22363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.114335144 -0.383486205 +22362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.808735963 -0.383486205 +22364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.267165367 -0.383486205 +22365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.091074275 -0.383486205 +22367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.278921804 -0.383486205 +22368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.035259447 -0.383486205 +22366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.182731107 -0.383486205 +22369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.557644609 -0.383486205 +22372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.035761529 -0.383486205 +22371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.124004803 -0.383486205 +22373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.141317574 -0.383486205 +22374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.207004804 -0.383486205 +22375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.495839912 -0.383486205 +22370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.227296722 -0.383486205 +22376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.719743933 -0.383486205 +22377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.449394433 -0.383486205 +22378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.344210023 -0.383486205 +22380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.745688213 -0.383486205 +22382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.737896167 -0.383486205 +22381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.28622992 -0.383486205 +22379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.61810442 -0.383486205 +22384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.297612892 -0.383486205 +22383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.398569718 -0.383486205 +22385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.634175219 -0.383486205 +22386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.055458282 -0.383486205 +22387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.030580549 -0.383486205 +22388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.246683878 -0.383486205 +22390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.766012081 -0.383486205 +22389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.363400939 -0.383486205 +22391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.763847785 -0.383486205 +22392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.278350845 -0.383486205 +22393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.46041618 -0.383486205 +22394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.742069054 -0.383486205 +22395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.338611064 -0.383486205 +22397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.027068067 -0.383486205 +22396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.329244704 -0.383486205 +22398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.656925297 -0.383486205 +22399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.006838148 -0.383486205 +22401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.166778693 -0.383486205 +22400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.602338165 -0.383486205 +22402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.046964259 -0.383486205 +22403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.347340863 -0.383486205 +22404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.581493573 -0.383486205 +22407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.939978736 -0.383486205 +22405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.60960275 -0.383486205 +22406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.241401314 -0.383486205 +22410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.647794858 -0.383486205 +22408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.064910362 -0.383486205 +22411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.166374139 -0.383486205 +22412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.051275582 -0.383486205 +22414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.559383685 -0.383486205 +22409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.491927481 -0.383486205 +22415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.445920388 -0.383486205 +22413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.082177808 -0.383486205 +22417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.277341939 -0.383486205 +22416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.10674559 -0.383486205 +22418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.567752729 -0.383486205 +22420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.239592929 -0.383486205 +22422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.594096777 -0.383486205 +22421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.132002983 -0.383486205 +22419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.058979166 -0.383486205 +22423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.054153467 -0.383486205 +22425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.627657826 -0.383486205 +22424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.090341452 -0.383486205 +22426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.266343113 -0.383486205 +22427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.432750505 -0.383486205 +22428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.222629693 -0.383486205 +22430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.339865349 -0.383486205 +22429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.515555189 -0.383486205 +22431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.544429901 -0.383486205 +22432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.046820401 -0.383486205 +22433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.43137361 -0.383486205 +22434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.387412107 -0.383486205 +22435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.023323613 -0.383486205 +22436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.711467217 -0.383486205 +22437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.305164982 -0.383486205 +22440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.111653962 -0.383486205 +22439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.090078246 -0.383486205 +22438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.61822155 -0.383486205 +22442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.176544731 -0.383486205 +22441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.649896499 -0.383486205 +22443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.18153407 -0.383486205 +22444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.589298228 -0.383486205 +22445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.336962364 -0.383486205 +22446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.008852987 -0.383486205 +22447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.460294 -0.383486205 +22449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.140537533 -0.383486205 +22448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.378665539 -0.383486205 +22451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.156297342 -0.383486205 +22450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.51589331 -0.383486205 +22452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.352969966 -0.383486205 +22453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.51378787 -0.383486205 +22454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.680284746 -0.383486205 +22455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.134922093 -0.383486205 +22456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.407042071 -0.383486205 +22460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.669084129 -0.383486205 +22458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.783641932 -0.383486205 +22457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.465195169 -0.383486205 +22459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.519954757 -0.383486205 +22461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.373277811 -0.383486205 +22462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.684728048 -0.383486205 +22464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.472640882 -0.383486205 +22463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.016055941 -0.383486205 +22465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.4479856 -0.383486205 +22466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.002930796 -0.383486205 +22469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.509845234 -0.383486205 +22468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.059617915 -0.383486205 +22467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.823503445 -0.383486205 +22470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.718813199 -0.383486205 +22471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.444738003 -0.383486205 +22473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.638800588 -0.383486205 +22474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.589230512 -0.383486205 +22472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.367780315 -0.383486205 +22476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.332810142 -0.383486205 +22475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.200614583 -0.383486205 +22477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.189313071 -0.383486205 +22478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.850007438 -0.383486205 +22479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.008566554 -0.383486205 +22480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.617398908 -0.383486205 +22481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.2984329 -0.383486205 +22482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.608483966 -0.383486205 +22484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.278262994 -0.383486205 +22483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.539857884 -0.383486205 +22485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.469689095 -0.383486205 +22487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.232346887 -0.383486205 +22488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.319665862 -0.383486205 +22486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.494834605 -0.383486205 +22490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.52754589 -0.383486205 +22489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.827009589 -0.383486205 +22492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.582754998 -0.383486205 +22491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.135323791 -0.383486205 +22493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.386513786 -0.383486205 +22494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.052815511 -0.383486205 +22495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.308486321 -0.383486205 +22496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.034957102 -0.383486205 +22497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.166372708 -0.383486205 +22498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.041269966 -0.383486205 +22499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.395449995 -0.383486205 +22501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.551532807 -0.383486205 +22502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.049564489 -0.383486205 +22500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.376521516 -0.383486205 +22503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.703777869 -0.383486205 +22505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.306212298 -0.383486205 +22506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.348589509 -0.383486205 +22507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.06047933 -0.383486205 +22504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.565011449 -0.383486205 +22510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.111436668 -0.383486205 +22509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.087788021 -0.383486205 +22508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.11067454 -0.383486205 +22511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.529064374 -0.383486205 +22512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.920988217 -0.383486205 +22514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.160814551 -0.383486205 +22515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.035275617 -0.383486205 +22513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.294257193 -0.383486205 +22517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.531374708 -0.383486205 +22518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.175709118 -0.383486205 +22519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.077396215 -0.383486205 +22516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.325296515 -0.383486205 +22520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.467566041 -0.383486205 +22521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.262072205 -0.383486205 +22523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.242184097 -0.383486205 +22524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.800689061 -0.383486205 +22525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.30648329 -0.383486205 +22526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.605865959 -0.383486205 +22527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.2026629 -0.383486205 +22528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.507948538 -0.383486205 +22522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.619296213 -0.383486205 +22529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.267492681 -0.383486205 +22531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.23230588 -0.383486205 +22532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.621611277 -0.383486205 +22530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.033464768 -0.383486205 +22533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.599744815 -0.383486205 +22534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.12828696 -0.383486205 +22535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.773141674 -0.383486205 +22536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.156853024 -0.383486205 +22537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.332065351 -0.383486205 +22538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.130456114 -0.383486205 +22540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.24192345 -0.383486205 +22539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.691596775 -0.383486205 +22541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.655174169 -0.383486205 +22542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.060150779 -0.383486205 +22543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.036532887 -0.383486205 +22545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.143409136 -0.383486205 +22546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.036193554 -0.383486205 +22548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.28532702 -0.383486205 +22547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.747818321 -0.383486205 +22549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.016133466 -0.383486205 +22550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.397428293 -0.383486205 +22544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.538861967 -0.383486205 +22551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.427018619 -0.383486205 +22552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.122075934 -0.383486205 +22555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.399392661 -0.383486205 +22553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.278205116 -0.383486205 +22556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.659472609 -0.383486205 +22554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.554910694 -0.383486205 +22557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.147230174 -0.383486205 +22558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.033664939 -0.383486205 +22560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.632686419 -0.383486205 +22559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.08873448 -0.383486205 +22562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.737205614 -0.383486205 +22563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.356728104 -0.383486205 +22565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.219256037 -0.383486205 +22564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.636311353 -0.383486205 +22561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.446374727 -0.383486205 +22566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.02017376 -0.383486205 +22567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.23919894 -0.383486205 +22568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.427607406 -0.383486205 +22569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.238381939 -0.383486205 +22570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -9.61E-04 -0.383486205 +22572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.024160819 -0.383486205 +22573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.254021216 -0.383486205 +22571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.66065957 -0.383486205 +22574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.278913469 -0.383486205 +22575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.28266936 -0.383486205 +22577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.791619069 -0.383486205 +22576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.716669401 -0.383486205 +22578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.663170078 -0.383486205 +22580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.082894533 -0.383486205 +22579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.260549847 -0.383486205 +22581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.676668331 -0.383486205 +22582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.141456932 -0.383486205 +22583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.335599138 -0.383486205 +22585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.533473754 -0.383486205 +22584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.172630041 -0.383486205 +22586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.559898057 -0.383486205 +22587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.187601653 -0.383486205 +22588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.128062922 -0.383486205 +22589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.583613501 -0.383486205 +22591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.48569078 -0.383486205 +22590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.680799022 -0.383486205 +22592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.365876876 -0.383486205 +22593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.553321176 -0.383486205 +22595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.356768732 -0.383486205 +22594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.152526972 -0.383486205 +22596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.627150238 -0.383486205 +22597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.71721415 -0.383486205 +22598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.185116897 -0.383486205 +22599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.241320289 -0.383486205 +22600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.734627899 -0.383486205 +22601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.134822862 -0.383486205 +22604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.590512451 -0.383486205 +22603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.467153042 -0.383486205 +22602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.512748818 -0.383486205 +22605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.722123265 -0.383486205 +22606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.163463613 -0.383486205 +22608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.007250153 -0.383486205 +22607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.283866655 -0.383486205 +22609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.567332476 -0.383486205 +22610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.459869298 -0.383486205 +22612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.453473537 -0.383486205 +22611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.394889661 -0.383486205 +22613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.866333403 -0.383486205 +22615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.432968097 -0.383486205 +22614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.269733479 -0.383486205 +22616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.292443182 -0.383486205 +22618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.007752993 -0.383486205 +22617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.340848824 -0.383486205 +22620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.155053192 -0.383486205 +22619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.251290126 -0.383486205 +22621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.100907886 -0.383486205 +22622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.678024105 -0.383486205 +22623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.266324666 -0.383486205 +22625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.555675446 -0.383486205 +22626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.361091608 -0.383486205 +22624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.497602419 -0.383486205 +22627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.020273784 -0.383486205 +22628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.741962049 -0.383486205 +22629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.061303711 -0.383486205 +22630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.678501996 -0.383486205 +22631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.154555968 -0.383486205 +22632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.61777979 -0.383486205 +22634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.627095084 -0.383486205 +22635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.299591681 -0.383486205 +22633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.781701018 -0.383486205 +22636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.218338461 -0.383486205 +22638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.770203006 -0.383486205 +22639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.394210433 -0.383486205 +22640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.598900047 -0.383486205 +22637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.607988186 -0.383486205 +22642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.649374907 -0.383486205 +22643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.149549682 -0.383486205 +22641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.701512267 -0.383486205 +22645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.763964085 -0.383486205 +22646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.043178477 -0.383486205 +22644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.483014435 -0.383486205 +22647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.264416854 -0.383486205 +22648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.774133569 -0.383486205 +22649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.421787562 -0.383486205 +22651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.418891238 -0.383486205 +22650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.114248893 -0.383486205 +22653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.409476664 -0.383486205 +22652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.383790291 -0.383486205 +22654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.056615189 -0.383486205 +22655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.652615207 -0.383486205 +22656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.777422513 -0.383486205 +22657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.466219441 -0.383486205 +22659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.249796091 -0.383486205 +22658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.191592395 -0.383486205 +22660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.417698677 -0.383486205 +22661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.256399989 -0.383486205 +22663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.450922953 -0.383486205 +22664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.199670774 -0.383486205 +22665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.289778422 -0.383486205 +22667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.114259288 -0.383486205 +22666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.521674395 -0.383486205 +22668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.514371522 -0.383486205 +22669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.430163369 -0.383486205 +22662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.552530116 -0.383486205 +22670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.253460616 -0.383486205 +22671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.714341532 -0.383486205 +22672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.402544568 -0.383486205 +22673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.67115971 -0.383486205 +22675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.004121425 -0.383486205 +22676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.666910454 -0.383486205 +22677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.01666256 -0.383486205 +22678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.615393824 -0.383486205 +22674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.584907621 -0.383486205 +22679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.464171053 -0.383486205 +22680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.750420177 -0.383486205 +22681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.631401572 -0.383486205 +22683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.290660333 -0.383486205 +22684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.45505298 -0.383486205 +22685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.034007568 -0.383486205 +22686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.002668684 -0.383486205 +22682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.051094848 -0.383486205 +22687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.328991881 -0.383486205 +22688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.155297939 -0.383486205 +22690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.395694012 -0.383486205 +22692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.562147282 -0.383486205 +22689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.17052536 -0.383486205 +22694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.44135131 -0.383486205 +22693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.571930884 -0.383486205 +22691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.629448993 -0.383486205 +22696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.599756058 -0.383486205 +22695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.097905205 -0.383486205 +22697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.404772533 -0.383486205 +22699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.213292189 -0.383486205 +22698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.584033753 -0.383486205 +22701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.656403268 -0.383486205 +22700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.016032741 -0.383486205 +22702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.322489089 -0.383486205 +22703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.504968577 -0.383486205 +22705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.705812162 -0.383486205 +22704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.061460496 -0.383486205 +22706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.312945908 -0.383486205 +22707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.566846919 -0.383486205 +22708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.688791616 -0.383486205 +22709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.641057166 -0.383486205 +22711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.273916862 -0.383486205 +22712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.800959982 -0.383486205 +22713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.307425594 -0.383486205 +22714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.407657585 -0.383486205 +22715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.322287093 -0.383486205 +22717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.79840017 -0.383486205 +22716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.439980824 -0.383486205 +22718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.033105201 -0.383486205 +22710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.05106828 -0.383486205 +22719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.602553788 -0.383486205 +22720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.346275591 -0.383486205 +22721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.499637925 -0.383486205 +22723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.821488238 -0.383486205 +22722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.231515686 -0.383486205 +22724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.329550322 -0.383486205 +22725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.019456624 -0.383486205 +22726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.367098718 -0.383486205 +22727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.103133715 -0.383486205 +22728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.756677693 -0.383486205 +22729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.410954522 -0.383486205 +22731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.51365469 -0.383486205 +22730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.540439943 -0.383486205 +22733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.269745872 -0.383486205 +22732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.229938234 -0.383486205 +22735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.406988395 -0.383486205 +22737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.829225476 -0.383486205 +22736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.488156849 -0.383486205 +22738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.139429423 -0.383486205 +22734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.77784118 -0.383486205 +22739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.711803155 -0.383486205 +22740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.091076573 -0.383486205 +22741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.82084635 -0.383486205 +22742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.654947758 -0.383486205 +22743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.536861804 -0.383486205 +22744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.545274879 -0.383486205 +22745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.098299434 -0.383486205 +22747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.165896373 -0.383486205 +22746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.481947433 -0.383486205 +22748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.157658768 -0.383486205 +22749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.009093292 -0.383486205 +22750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.161091525 -0.383486205 +22752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.533636452 -0.383486205 +22753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.040003307 -0.383486205 +22751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.022001624 -0.383486205 +22754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.039034735 -0.383486205 +22756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.265210096 -0.383486205 +22758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.201348128 -0.383486205 +22755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.81148981 -0.383486205 +22757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.433090113 -0.383486205 +22759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.36696598 -0.383486205 +22760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.273274698 -0.383486205 +22761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.768393565 -0.383486205 +22762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.235978445 -0.383486205 +22763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.699594186 -0.383486205 +22764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.624397608 -0.383486205 +22765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.753934031 -0.383486205 +22766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.139025959 -0.383486205 +22767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.560965568 -0.383486205 +22768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.468693122 -0.383486205 +22770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.659545263 -0.383486205 +22772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.594120456 -0.383486205 +22769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.823368258 -0.383486205 +22771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.778640618 -0.383486205 +22774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.022047321 -0.383486205 +22775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.271296626 -0.383486205 +22776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.438412634 -0.383486205 +22777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.169120192 -0.383486205 +22773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.176327806 -0.383486205 +22779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.362381092 -0.383486205 +22778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.280533958 -0.383486205 +22780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.20324509 -0.383486205 +22781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.288552656 -0.383486205 +22783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.601582139 -0.383486205 +22782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.466380654 -0.383486205 +22784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.387350913 -0.383486205 +22785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.237885745 -0.383486205 +22787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.37124773 -0.383486205 +22789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.05883545 -0.383486205 +22786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.04409535 -0.383486205 +22788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.424909355 -0.383486205 +22790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.750300193 -0.383486205 +22791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.821868065 -0.383486205 +22792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.401857116 -0.383486205 +22793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.407193053 -0.383486205 +22794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.219113049 -0.383486205 +22796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.848959964 -0.383486205 +22797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.147824147 -0.383486205 +22795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.731930746 -0.383486205 +22798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.378157932 -0.383486205 +22800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.195768715 -0.383486205 +22799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.087048996 -0.383486205 +22803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.541961206 -0.383486205 +22804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.616179165 -0.383486205 +22805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.487617255 -0.383486205 +22806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.53988218 -0.383486205 +22802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.10017169 -0.383486205 +22801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.718805942 -0.383486205 +22807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.031360796 -0.383486205 +22808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.507057483 -0.383486205 +22810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.514312047 -0.383486205 +22813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.545538002 -0.383486205 +22812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.742528508 -0.383486205 +22811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.488052311 -0.383486205 +22809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.293670971 -0.383486205 +22814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.372765386 -0.383486205 +22816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.342105213 -0.383486205 +22815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.710994703 -0.383486205 +22817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.737442802 -0.383486205 +22819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.800911424 -0.383486205 +22821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.350637297 -0.383486205 +22818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.010049924 -0.383486205 +22820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.103030411 -0.383486205 +22823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.718222006 -0.383486205 +22824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.761821395 -0.383486205 +22822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.721024631 -0.383486205 +22825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.344789991 -0.383486205 +22826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.820983188 -0.383486205 +22828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.009088503 -0.383486205 +22829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.433480684 -0.383486205 +22827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.268059671 -0.383486205 +22830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.02033399 -0.383486205 +22831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.582733221 -0.383486205 +22832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.713458236 -0.383486205 +22833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.075377484 -0.383486205 +22836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.388826323 -0.383486205 +22835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.583259685 -0.383486205 +22837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.724113545 -0.383486205 +22834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.257197877 -0.383486205 +22838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.689249899 -0.383486205 +22839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.402077236 -0.383486205 +22842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.736109931 -0.383486205 +22840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.364527323 -0.383486205 +22841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.047694019 -0.383486205 +22844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.626877223 -0.383486205 +22845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.820882835 -0.383486205 +22846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.475538232 -0.383486205 +22847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.766465524 -0.383486205 +22843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.115620634 -0.383486205 +22848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.76895086 -0.383486205 +22850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.150483708 -0.383486205 +22852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.66627234 -0.383486205 +22854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.414112639 -0.383486205 +22853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.155147423 -0.383486205 +22849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.313854423 -0.383486205 +22851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.161788136 -0.383486205 +22855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.227162476 -0.383486205 +22856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.536612344 -0.383486205 +22857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.656447387 -0.383486205 +22858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.530174122 -0.383486205 +22859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.765926678 -0.383486205 +22860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.70763203 -0.383486205 +22862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.041833021 -0.383486205 +22861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.186150394 -0.383486205 +22863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.656745683 -0.383486205 +22864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.04460038 -0.383486205 +22866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.009150046 -0.383486205 +22865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.00898821 -0.383486205 +22867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.781304381 -0.383486205 +22868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.65195896 -0.383486205 +22869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.82050811 -0.383486205 +22871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.235977767 -0.383486205 +22870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.713214675 -0.383486205 +22874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.637622666 -0.383486205 +22872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.189585823 -0.383486205 +22873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.505419257 -0.383486205 +22875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.685761938 -0.383486205 +22876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.128216338 -0.383486205 +22877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.276980186 -0.383486205 +22878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.145771905 -0.383486205 +22879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.602399281 -0.383486205 +22880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.32431366 -0.383486205 +22883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.6983961 -0.383486205 +22881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.699391439 -0.383486205 +22882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.326115277 -0.383486205 +22884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.38289155 -0.383486205 +22885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.247915201 -0.383486205 +22886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.435194686 -0.383486205 +22888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.34307381 -0.383486205 +22887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.466834857 -0.383486205 +22889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.019278987 -0.383486205 +22891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.34391009 -0.383486205 +22890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.649744064 -0.383486205 +22892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.396763543 -0.383486205 +22893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.560543476 -0.383486205 +22894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.741315469 -0.383486205 +22897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.427713936 -0.383486205 +22895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.617802351 -0.383486205 +22898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.638573319 -0.383486205 +22899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.286831547 -0.383486205 +22900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.674446036 -0.383486205 +22896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.064507293 -0.383486205 +22901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.713821074 -0.383486205 +22902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.022608282 -0.383486205 +22903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.010926285 -0.383486205 +22904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.803774148 -0.383486205 +22905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.910000441 -0.383486205 +22906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.187504966 -0.383486205 +22907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.317369606 -0.383486205 +22908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.635691869 -0.383486205 +22909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.690543934 -0.383486205 +22910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.064706895 -0.383486205 +22911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.50942002 -0.383486205 +22912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.113837823 -0.383486205 +22914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.477370008 -0.383486205 +22913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.161349076 -0.383486205 +22915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.448993867 -0.383486205 +22917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.666092085 -0.383486205 +22916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.458529789 -0.383486205 +22918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.175482994 -0.383486205 +22919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.163812081 -0.383486205 +22920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.327238297 -0.383486205 +22921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.549446645 -0.383486205 +22922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.582468731 -0.383486205 +22923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.5122739 -0.383486205 +22924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.377457479 -0.383486205 +22925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.720905459 -0.383486205 +22927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.477252971 -0.383486205 +22926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.75460794 -0.383486205 +22928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.294236688 -0.383486205 +22929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.349676057 -0.383486205 +22930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.308545739 -0.383486205 +22931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.772074375 -0.383486205 +22932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.593684621 -0.383486205 +22934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.201490787 -0.383486205 +22935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.785003979 -0.383486205 +22933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.689543534 -0.383486205 +22936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.463073309 -0.383486205 +22937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.216845779 -0.383486205 +22938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.174319125 -0.383486205 +22939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.494264354 -0.383486205 +22940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.248341081 -0.383486205 +22942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.275315731 -0.383486205 +22941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.062315282 -0.383486205 +22943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.508930683 -0.383486205 +22944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.795344232 -0.383486205 +22945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.139739105 -0.383486205 +22946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.472427337 -0.383486205 +22947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.306329396 -0.383486205 +22948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.394490811 -0.383486205 +22949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.739305016 -0.383486205 +22950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.013413463 -0.383486205 +22952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.251507671 -0.383486205 +22951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.159342608 -0.383486205 +22953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.456952699 -0.383486205 +22954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.708423224 -0.383486205 +22955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.556414914 -0.383486205 +22956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.019844049 -0.383486205 +22957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.147550458 -0.383486205 +22958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.304904829 -0.383486205 +22959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.471789948 -0.383486205 +22962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.391564918 -0.383486205 +22961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.02273642 -0.383486205 +22960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.390763595 -0.383486205 +22963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.188705973 -0.383486205 +22964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.780476731 -0.383486205 +22966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.620175626 -0.383486205 +22967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.043510572 -0.383486205 +22965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.437816351 -0.383486205 +22969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.481252821 -0.383486205 +22968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.374174135 -0.383486205 +22971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.388136488 -0.383486205 +22972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.54260799 -0.383486205 +22970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.110949223 -0.383486205 +22973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.367446572 -0.383486205 +22974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.163762478 -0.383486205 +22976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.059099624 -0.383486205 +22975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.526136364 -0.383486205 +22977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.246113944 -0.383486205 +22978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.18073842 -0.383486205 +22979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.742590246 -0.383486205 +22980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.685929281 -0.383486205 +22981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.070838734 -0.383486205 +22983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.629071219 -0.383486205 +22982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.232952563 -0.383486205 +22984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.107288173 -0.383486205 +22985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.14327526 -0.383486205 +22986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.085826434 -0.383486205 +22987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.753416762 -0.383486205 +22988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.202144262 -0.383486205 +22989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.382640342 -0.383486205 +22991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.303995604 -0.383486205 +22990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.156609399 -0.383486205 +22992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.009811385 -0.383486205 +22994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.776945776 -0.383486205 +22993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 0.046846737 -0.383486205 +22995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.648664726 -0.383486205 +22997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.491157607 -0.383486205 +22998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.234129637 -0.383486205 +22996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.350976762 -0.383486205 +22999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.074993723 -0.383486205 +23000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.1 10 1 -0.400212596 -0.383486205 +23001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.122535598 -0.3722887 +23002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.315700477 -0.3722887 +23003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.432251492 -0.3722887 +23004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.371411821 -0.3722887 +23005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.016506502 -0.3722887 +23006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.566756361 -0.3722887 +23007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.420318301 -0.3722887 +23008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.172497162 -0.3722887 +23010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.750185062 -0.3722887 +23009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.060404626 -0.3722887 +23011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.574250655 -0.3722887 +23012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.811891042 -0.3722887 +23013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.21433635 -0.3722887 +23015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.320034409 -0.3722887 +23016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.74545552 -0.3722887 +23014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.358149932 -0.3722887 +23017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.179760574 -0.3722887 +23018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.025888622 -0.3722887 +23019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.369932576 -0.3722887 +23020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.073844385 -0.3722887 +23021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.831460224 -0.3722887 +23022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.748311744 -0.3722887 +23023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.428416671 -0.3722887 +23024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.021912412 -0.3722887 +23025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.561683915 -0.3722887 +23026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.018883949 -0.3722887 +23029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.163264245 -0.3722887 +23027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.807811113 -0.3722887 +23028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.203915869 -0.3722887 +23031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.034604795 -0.3722887 +23030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.071731318 -0.3722887 +23033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.4440866 -0.3722887 +23034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.017854403 -0.3722887 +23032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.390856207 -0.3722887 +23037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.288987158 -0.3722887 +23036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.670134223 -0.3722887 +23035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.279974425 -0.3722887 +23038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.280439153 -0.3722887 +23039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.162869417 -0.3722887 +23040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.666719723 -0.3722887 +23041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.639129531 -0.3722887 +23044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.393483446 -0.3722887 +23043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.116445376 -0.3722887 +23042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.031621137 -0.3722887 +23045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.096063123 -0.3722887 +23046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.292003692 -0.3722887 +23048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.282953897 -0.3722887 +23047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.134784034 -0.3722887 +23049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.695649405 -0.3722887 +23051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.32356456 -0.3722887 +23050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.494967186 -0.3722887 +23052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.047584317 -0.3722887 +23053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.360467712 -0.3722887 +23054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.305916249 -0.3722887 +23055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.559408472 -0.3722887 +23056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.431337173 -0.3722887 +23057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.692003463 -0.3722887 +23058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.209416149 -0.3722887 +23059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.697793699 -0.3722887 +23060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.591477498 -0.3722887 +23061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.136044119 -0.3722887 +23063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.502617738 -0.3722887 +23064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.201297436 -0.3722887 +23065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.365196075 -0.3722887 +23062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.515775727 -0.3722887 +23066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.075510295 -0.3722887 +23067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.389571515 -0.3722887 +23069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.105890249 -0.3722887 +23068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.499421345 -0.3722887 +23070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.435007931 -0.3722887 +23071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.776038936 -0.3722887 +23073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.802864705 -0.3722887 +23075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.593642696 -0.3722887 +23072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.123840833 -0.3722887 +23076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.029123159 -0.3722887 +23074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.64444103 -0.3722887 +23078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.87153454 -0.3722887 +23077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.101171639 -0.3722887 +23079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.495683356 -0.3722887 +23081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.099835188 -0.3722887 +23080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.096298918 -0.3722887 +23082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.580319519 -0.3722887 +23083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.427714647 -0.3722887 +23084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.625590525 -0.3722887 +23085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.03651906 -0.3722887 +23086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.536304848 -0.3722887 +23088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.1104966 -0.3722887 +23089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.754156211 -0.3722887 +23087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.082606984 -0.3722887 +23091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.757882316 -0.3722887 +23092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.072421032 -0.3722887 +23090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.524149831 -0.3722887 +23093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.721082345 -0.3722887 +23095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.141843372 -0.3722887 +23096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.054495905 -0.3722887 +23097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.182716475 -0.3722887 +23098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.703371416 -0.3722887 +23099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.797812506 -0.3722887 +23094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.502100616 -0.3722887 +23100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.367830478 -0.3722887 +23101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.248957667 -0.3722887 +23102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.18776442 -0.3722887 +23104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.165691569 -0.3722887 +23105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.538507985 -0.3722887 +23103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.500806601 -0.3722887 +23106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.184438682 -0.3722887 +23107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.768818515 -0.3722887 +23108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.624416981 -0.3722887 +23109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.502687124 -0.3722887 +23111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.637819844 -0.3722887 +23112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.466793829 -0.3722887 +23113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.173742384 -0.3722887 +23110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.702596784 -0.3722887 +23114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.271933968 -0.3722887 +23115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.018658698 -0.3722887 +23116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.184443153 -0.3722887 +23117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.461458375 -0.3722887 +23119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.282252268 -0.3722887 +23121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.511778785 -0.3722887 +23118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.342076636 -0.3722887 +23122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.0476939 -0.3722887 +23120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.096045251 -0.3722887 +23124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.053824878 -0.3722887 +23123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.659063212 -0.3722887 +23125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.016437334 -0.3722887 +23126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.037332124 -0.3722887 +23127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.742351641 -0.3722887 +23128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.083151893 -0.3722887 +23130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.399877182 -0.3722887 +23129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.031759827 -0.3722887 +23131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.431311556 -0.3722887 +23133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.408665867 -0.3722887 +23132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.678993747 -0.3722887 +23134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.75578206 -0.3722887 +23135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.756438071 -0.3722887 +23136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.61322391 -0.3722887 +23137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.053460141 -0.3722887 +23139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.793036135 -0.3722887 +23138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.091104007 -0.3722887 +23140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.272469252 -0.3722887 +23143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.702815903 -0.3722887 +23141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.351395885 -0.3722887 +23144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.104260076 -0.3722887 +23142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.012687295 -0.3722887 +23145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.609232406 -0.3722887 +23146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.511876974 -0.3722887 +23147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.099608394 -0.3722887 +23149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.16641184 -0.3722887 +23148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.299613022 -0.3722887 +23150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.50239964 -0.3722887 +23153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.220337421 -0.3722887 +23151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.330114384 -0.3722887 +23152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.705969278 -0.3722887 +23154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.808406029 -0.3722887 +23156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.064412245 -0.3722887 +23157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.307322372 -0.3722887 +23155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.738479336 -0.3722887 +23160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.723844496 -0.3722887 +23159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.435508387 -0.3722887 +23161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.319187243 -0.3722887 +23162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.152896336 -0.3722887 +23158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.588286122 -0.3722887 +23163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.411861742 -0.3722887 +23167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.185810358 -0.3722887 +23165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.695086552 -0.3722887 +23166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.657151059 -0.3722887 +23164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.068067711 -0.3722887 +23168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.6687335 -0.3722887 +23169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.406615937 -0.3722887 +23170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.234836119 -0.3722887 +23171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.341278688 -0.3722887 +23172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.067863617 -0.3722887 +23173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.434689361 -0.3722887 +23175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.123149869 -0.3722887 +23174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.767591421 -0.3722887 +23176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.617650459 -0.3722887 +23177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.150017469 -0.3722887 +23178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.197615448 -0.3722887 +23179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.754235589 -0.3722887 +23180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.201151875 -0.3722887 +23182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.141549354 -0.3722887 +23181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.50582411 -0.3722887 +23183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.201771825 -0.3722887 +23184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.192710237 -0.3722887 +23187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.19919761 -0.3722887 +23185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.06118599 -0.3722887 +23188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.05054632 -0.3722887 +23189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.298036371 -0.3722887 +23186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.076660541 -0.3722887 +23190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.257223559 -0.3722887 +23191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.703195851 -0.3722887 +23192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.110021178 -0.3722887 +23194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.186652378 -0.3722887 +23195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.33686119 -0.3722887 +23196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.379374541 -0.3722887 +23193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.005417987 -0.3722887 +23197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.145113339 -0.3722887 +23198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.693560705 -0.3722887 +23199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.370143029 -0.3722887 +23200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.117750051 -0.3722887 +23201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.756316024 -0.3722887 +23204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.043879162 -0.3722887 +23203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.342599613 -0.3722887 +23202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.364537351 -0.3722887 +23206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.606450389 -0.3722887 +23205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.144774952 -0.3722887 +23207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.064913315 -0.3722887 +23208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.037972264 -0.3722887 +23210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.896023451 -0.3722887 +23209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.372974503 -0.3722887 +23211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.516117193 -0.3722887 +23212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.086414207 -0.3722887 +23214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.457929728 -0.3722887 +23215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.789340463 -0.3722887 +23213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.63249413 -0.3722887 +23216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.585293626 -0.3722887 +23217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.546921179 -0.3722887 +23218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.687601923 -0.3722887 +23219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.06474512 -0.3722887 +23222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.185887061 -0.3722887 +23220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.720178447 -0.3722887 +23221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.067822407 -0.3722887 +23223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.360081699 -0.3722887 +23224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.277548698 -0.3722887 +23225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.161702533 -0.3722887 +23226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.009189897 -0.3722887 +23229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.650833203 -0.3722887 +23227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.506641463 -0.3722887 +23228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.260436265 -0.3722887 +23231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.477147103 -0.3722887 +23233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.247130787 -0.3722887 +23230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.294534222 -0.3722887 +23232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.375683396 -0.3722887 +23234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.727606134 -0.3722887 +23235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.792283102 -0.3722887 +23237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.049301917 -0.3722887 +23236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.122355185 -0.3722887 +23238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.233216331 -0.3722887 +23239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.394027042 -0.3722887 +23241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.577844089 -0.3722887 +23240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.332689518 -0.3722887 +23242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.476696403 -0.3722887 +23243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.08575271 -0.3722887 +23244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.327779387 -0.3722887 +23245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.065942569 -0.3722887 +23246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.121479164 -0.3722887 +23247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.245246101 -0.3722887 +23248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.698678632 -0.3722887 +23250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.200881068 -0.3722887 +23251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.525149122 -0.3722887 +23249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.213744202 -0.3722887 +23252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.485051417 -0.3722887 +23253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.063753639 -0.3722887 +23254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.848153931 -0.3722887 +23256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.053503436 -0.3722887 +23255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.259354952 -0.3722887 +23258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.30019628 -0.3722887 +23260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.492419642 -0.3722887 +23261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.05746169 -0.3722887 +23259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.067684755 -0.3722887 +23257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.441208248 -0.3722887 +23262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.732786323 -0.3722887 +23264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.71509605 -0.3722887 +23263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.478202287 -0.3722887 +23265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.443883366 -0.3722887 +23266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.581146854 -0.3722887 +23269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.412254706 -0.3722887 +23268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.777087289 -0.3722887 +23270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.302592922 -0.3722887 +23267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.494398657 -0.3722887 +23273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.044038709 -0.3722887 +23274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.562227245 -0.3722887 +23272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.393695744 -0.3722887 +23271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.071228615 -0.3722887 +23275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.613553486 -0.3722887 +23276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.303665826 -0.3722887 +23278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.726520517 -0.3722887 +23279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.636717288 -0.3722887 +23280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.485804164 -0.3722887 +23277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.580961238 -0.3722887 +23281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.732295231 -0.3722887 +23282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.61631749 -0.3722887 +23283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.208645767 -0.3722887 +23284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.090343007 -0.3722887 +23287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.014632553 -0.3722887 +23285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.256302941 -0.3722887 +23288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.260109076 -0.3722887 +23289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.039055276 -0.3722887 +23291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.720742921 -0.3722887 +23286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.208940854 -0.3722887 +23290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.744055451 -0.3722887 +23292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.090932031 -0.3722887 +23293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.267039124 -0.3722887 +23296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.305957003 -0.3722887 +23297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.636538599 -0.3722887 +23294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.374687853 -0.3722887 +23295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.471054996 -0.3722887 +23299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.533686429 -0.3722887 +23298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.500265636 -0.3722887 +23300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.086205439 -0.3722887 +23302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.435664158 -0.3722887 +23301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.259142174 -0.3722887 +23306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.088076161 -0.3722887 +23305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.539249895 -0.3722887 +23304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.290984145 -0.3722887 +23307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.401795823 -0.3722887 +23303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.545622191 -0.3722887 +23308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.290661198 -0.3722887 +23309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.315435106 -0.3722887 +23310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.62245035 -0.3722887 +23312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.058128505 -0.3722887 +23314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.425859671 -0.3722887 +23315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.019681969 -0.3722887 +23316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.347117028 -0.3722887 +23313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.440586512 -0.3722887 +23311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.32406868 -0.3722887 +23317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.017276053 -0.3722887 +23319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.455102851 -0.3722887 +23321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.024460367 -0.3722887 +23320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.123173668 -0.3722887 +23322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.303675424 -0.3722887 +23323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.092237517 -0.3722887 +23324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.489811149 -0.3722887 +23318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.456896397 -0.3722887 +23325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.465152224 -0.3722887 +23326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.321796197 -0.3722887 +23328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.454717866 -0.3722887 +23329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.339779213 -0.3722887 +23327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.001690873 -0.3722887 +23330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.756619372 -0.3722887 +23331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.335980128 -0.3722887 +23333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.060639128 -0.3722887 +23332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.784094389 -0.3722887 +23335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.189786957 -0.3722887 +23334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.043451575 -0.3722887 +23336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.528999489 -0.3722887 +23337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.476017761 -0.3722887 +23339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.385034488 -0.3722887 +23340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.735202824 -0.3722887 +23341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.434419404 -0.3722887 +23338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.641824185 -0.3722887 +23342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.891765285 -0.3722887 +23343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.259767653 -0.3722887 +23344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.227364928 -0.3722887 +23345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.055878677 -0.3722887 +23346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.169123376 -0.3722887 +23347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.57127478 -0.3722887 +23349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.430546626 -0.3722887 +23350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.354335903 -0.3722887 +23348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.672130377 -0.3722887 +23351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.208386239 -0.3722887 +23352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.67828156 -0.3722887 +23354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.216183384 -0.3722887 +23353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.539358839 -0.3722887 +23355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.106908184 -0.3722887 +23357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.292434883 -0.3722887 +23359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.227620644 -0.3722887 +23356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.693448773 -0.3722887 +23358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.019899612 -0.3722887 +23360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.235016717 -0.3722887 +23361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.173189286 -0.3722887 +23362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.720904506 -0.3722887 +23363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.192627313 -0.3722887 +23366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.40520278 -0.3722887 +23365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.765220863 -0.3722887 +23364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.161383648 -0.3722887 +23367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.332987576 -0.3722887 +23368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.79596453 -0.3722887 +23369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.394777213 -0.3722887 +23371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.657738281 -0.3722887 +23372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.874312044 -0.3722887 +23370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.088635742 -0.3722887 +23373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.263235524 -0.3722887 +23374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.494866308 -0.3722887 +23375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.587789697 -0.3722887 +23376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.773127134 -0.3722887 +23377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.288520751 -0.3722887 +23378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.209119941 -0.3722887 +23380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.728174165 -0.3722887 +23381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.767074452 -0.3722887 +23379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.405823889 -0.3722887 +23382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.418506984 -0.3722887 +23384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.734296278 -0.3722887 +23383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.030136044 -0.3722887 +23386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.05108425 -0.3722887 +23387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.465839618 -0.3722887 +23385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.521525822 -0.3722887 +23389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.472869234 -0.3722887 +23390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.466264806 -0.3722887 +23388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.335927008 -0.3722887 +23391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.045707651 -0.3722887 +23392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.475897951 -0.3722887 +23393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.183150812 -0.3722887 +23394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.494688334 -0.3722887 +23395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.781232741 -0.3722887 +23397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.108464153 -0.3722887 +23396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.790920523 -0.3722887 +23398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.381651393 -0.3722887 +23399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.028025479 -0.3722887 +23401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.02740121 -0.3722887 +23403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.822607541 -0.3722887 +23400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.819381134 -0.3722887 +23404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.540860569 -0.3722887 +23405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.086974517 -0.3722887 +23406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.103999732 -0.3722887 +23402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.101659395 -0.3722887 +23407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.14175076 -0.3722887 +23408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.024504354 -0.3722887 +23409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.535864996 -0.3722887 +23410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.075160964 -0.3722887 +23411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.418737615 -0.3722887 +23412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.105356737 -0.3722887 +23414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.451243166 -0.3722887 +23413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.617889984 -0.3722887 +23415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.064497604 -0.3722887 +23416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.040334189 -0.3722887 +23417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.632844368 -0.3722887 +23419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.064923003 -0.3722887 +23420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.089432633 -0.3722887 +23418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.182227636 -0.3722887 +23421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.59653805 -0.3722887 +23422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.184483835 -0.3722887 +23423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.004706326 -0.3722887 +23424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.64057718 -0.3722887 +23426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.511650983 -0.3722887 +23427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.517709017 -0.3722887 +23425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.009638797 -0.3722887 +23428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.027236 -0.3722887 +23430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.70237976 -0.3722887 +23431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.064620089 -0.3722887 +23429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.077460761 -0.3722887 +23432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.050698091 -0.3722887 +23433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.029699281 -0.3722887 +23434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.037245404 -0.3722887 +23435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.175846393 -0.3722887 +23436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.289840922 -0.3722887 +23437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.498456713 -0.3722887 +23439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.573657854 -0.3722887 +23438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.336032232 -0.3722887 +23441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.578499068 -0.3722887 +23440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.28792693 -0.3722887 +23442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.341530757 -0.3722887 +23443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.162681955 -0.3722887 +23445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.536789808 -0.3722887 +23444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.196514995 -0.3722887 +23446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.494100275 -0.3722887 +23447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.371591519 -0.3722887 +23448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.431961783 -0.3722887 +23449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.655301124 -0.3722887 +23450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.103500927 -0.3722887 +23451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.037693975 -0.3722887 +23452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.180919649 -0.3722887 +23454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.029440026 -0.3722887 +23455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.629216945 -0.3722887 +23453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.150936983 -0.3722887 +23456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.049929204 -0.3722887 +23457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.331778225 -0.3722887 +23458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.588536508 -0.3722887 +23459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.769866381 -0.3722887 +23460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.331902751 -0.3722887 +23461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.538193101 -0.3722887 +23462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.131179087 -0.3722887 +23464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.102452211 -0.3722887 +23465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.272916633 -0.3722887 +23463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.395786262 -0.3722887 +23466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.098708482 -0.3722887 +23468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.65466909 -0.3722887 +23470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.323162156 -0.3722887 +23469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.195463293 -0.3722887 +23467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.408175957 -0.3722887 +23472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.520883602 -0.3722887 +23473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.69753031 -0.3722887 +23471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.449017861 -0.3722887 +23474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.573476646 -0.3722887 +23475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.571955745 -0.3722887 +23477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.53172913 -0.3722887 +23478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.482898568 -0.3722887 +23476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.317429854 -0.3722887 +23479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.769837253 -0.3722887 +23481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.684434517 -0.3722887 +23480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.253070824 -0.3722887 +23482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.794122955 -0.3722887 +23483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.083993842 -0.3722887 +23484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.412722923 -0.3722887 +23486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.255198928 -0.3722887 +23485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.154447871 -0.3722887 +23487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.020219893 -0.3722887 +23488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.286989327 -0.3722887 +23490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.540735318 -0.3722887 +23489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.724792987 -0.3722887 +23491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.561072982 -0.3722887 +23494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.820942299 -0.3722887 +23492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.681021727 -0.3722887 +23495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.019000417 -0.3722887 +23493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.326567585 -0.3722887 +23499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.454766396 -0.3722887 +23497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.753193216 -0.3722887 +23496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.82396898 -0.3722887 +23498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.600675769 -0.3722887 +23500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.116035449 -0.3722887 +23502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.011160753 -0.3722887 +23501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.19219138 -0.3722887 +23503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.392300206 -0.3722887 +23506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.638532026 -0.3722887 +23505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.673636836 -0.3722887 +23504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.752645047 -0.3722887 +23507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.009689156 -0.3722887 +23509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.035634656 -0.3722887 +23510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.17491031 -0.3722887 +23511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.332733164 -0.3722887 +23513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.335552237 -0.3722887 +23514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.226004488 -0.3722887 +23512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.861043578 -0.3722887 +23508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.271380756 -0.3722887 +23515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.214668311 -0.3722887 +23518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.200447984 -0.3722887 +23517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.784072519 -0.3722887 +23516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.701962267 -0.3722887 +23519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.191392649 -0.3722887 +23522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.022576012 -0.3722887 +23520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.600518412 -0.3722887 +23521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.176649505 -0.3722887 +23526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.491796456 -0.3722887 +23525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.771396227 -0.3722887 +23523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.755600949 -0.3722887 +23527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.311164646 -0.3722887 +23528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.498630755 -0.3722887 +23530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.019975365 -0.3722887 +23529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.006253631 -0.3722887 +23524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.204624043 -0.3722887 +23533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.195296283 -0.3722887 +23532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.668203895 -0.3722887 +23531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.050170435 -0.3722887 +23535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.28205292 -0.3722887 +23537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.596766851 -0.3722887 +23534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.437331242 -0.3722887 +23536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.828895564 -0.3722887 +23538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.582071715 -0.3722887 +23540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.589705965 -0.3722887 +23539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.594777009 -0.3722887 +23541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.215347547 -0.3722887 +23542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.208794399 -0.3722887 +23543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.331887598 -0.3722887 +23544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.093410603 -0.3722887 +23545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.091487723 -0.3722887 +23547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.170080118 -0.3722887 +23549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.012473252 -0.3722887 +23548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.141372381 -0.3722887 +23550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.370603428 -0.3722887 +23551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.228306759 -0.3722887 +23546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.158707113 -0.3722887 +23553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.90356137 -0.3722887 +23552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.623379901 -0.3722887 +23555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.403282193 -0.3722887 +23556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.409169161 -0.3722887 +23558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.554925007 -0.3722887 +23557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.037709372 -0.3722887 +23554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.01790951 -0.3722887 +23560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.303117167 -0.3722887 +23559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.647746779 -0.3722887 +23562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.19861785 -0.3722887 +23563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.61796728 -0.3722887 +23561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.563862939 -0.3722887 +23565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.535043582 -0.3722887 +23566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.416003156 -0.3722887 +23564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.705326614 -0.3722887 +23567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.236985572 -0.3722887 +23569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.711709009 -0.3722887 +23570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.462844715 -0.3722887 +23572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.682174034 -0.3722887 +23571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.569164142 -0.3722887 +23573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.59920252 -0.3722887 +23574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.604189521 -0.3722887 +23568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.061519064 -0.3722887 +23575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.522811837 -0.3722887 +23576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.44873883 -0.3722887 +23578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.005435056 -0.3722887 +23580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.779230184 -0.3722887 +23579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.667278591 -0.3722887 +23582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.485174906 -0.3722887 +23583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.11028991 -0.3722887 +23577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.261594698 -0.3722887 +23581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.746561157 -0.3722887 +23584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.715456204 -0.3722887 +23586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.209691943 -0.3722887 +23587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.292598012 -0.3722887 +23589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.447898534 -0.3722887 +23590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.206075558 -0.3722887 +23585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.027704213 -0.3722887 +23591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.678019015 -0.3722887 +23588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.025769004 -0.3722887 +23592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.443094251 -0.3722887 +23593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.394062705 -0.3722887 +23594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.756325445 -0.3722887 +23598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.433282148 -0.3722887 +23596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.388941719 -0.3722887 +23597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.547717957 -0.3722887 +23599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.491923444 -0.3722887 +23600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.104341076 -0.3722887 +23595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.14563527 -0.3722887 +23601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.120324592 -0.3722887 +23602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.115372058 -0.3722887 +23604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.419814933 -0.3722887 +23603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.794681386 -0.3722887 +23605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.79602058 -0.3722887 +23608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.344626427 -0.3722887 +23606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.240648354 -0.3722887 +23607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.723806149 -0.3722887 +23610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.484435109 -0.3722887 +23611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.776468905 -0.3722887 +23612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.095838297 -0.3722887 +23609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.067592307 -0.3722887 +23613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.728702943 -0.3722887 +23616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.479882649 -0.3722887 +23615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.336818979 -0.3722887 +23614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.49379617 -0.3722887 +23618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.515078272 -0.3722887 +23617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.061009809 -0.3722887 +23619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.227095915 -0.3722887 +23620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.334377605 -0.3722887 +23621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.640637347 -0.3722887 +23623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.629739359 -0.3722887 +23624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.157750343 -0.3722887 +23625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.670700614 -0.3722887 +23626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.126486008 -0.3722887 +23622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.630308178 -0.3722887 +23628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.550490839 -0.3722887 +23629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.094875304 -0.3722887 +23627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.190093213 -0.3722887 +23631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.038023328 -0.3722887 +23633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.166670748 -0.3722887 +23632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.304089025 -0.3722887 +23634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.352352342 -0.3722887 +23630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.380783893 -0.3722887 +23636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.601241376 -0.3722887 +23637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.617343421 -0.3722887 +23635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.147049415 -0.3722887 +23638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.611982849 -0.3722887 +23639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.628887107 -0.3722887 +23640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.503175275 -0.3722887 +23641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.218508781 -0.3722887 +23642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.555434132 -0.3722887 +23644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.24890535 -0.3722887 +23643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.450327397 -0.3722887 +23645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.367073058 -0.3722887 +23646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.313851905 -0.3722887 +23647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.032659602 -0.3722887 +23648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.045697941 -0.3722887 +23649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.58919969 -0.3722887 +23651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.199407022 -0.3722887 +23650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.853493723 -0.3722887 +23652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.090550328 -0.3722887 +23653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.451427096 -0.3722887 +23654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.322484196 -0.3722887 +23655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.008992168 -0.3722887 +23656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.430389761 -0.3722887 +23657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.408424271 -0.3722887 +23658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.553531003 -0.3722887 +23660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.282163806 -0.3722887 +23659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.256463378 -0.3722887 +23661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.449430529 -0.3722887 +23662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.568055107 -0.3722887 +23664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.49458695 -0.3722887 +23663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.103600675 -0.3722887 +23665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.637264222 -0.3722887 +23666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.521796712 -0.3722887 +23667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.103563937 -0.3722887 +23669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.787910179 -0.3722887 +23668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.576382943 -0.3722887 +23670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.475859961 -0.3722887 +23671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.772391852 -0.3722887 +23673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.01351206 -0.3722887 +23674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.786969564 -0.3722887 +23672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.179494732 -0.3722887 +23676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.116272652 -0.3722887 +23675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.001844015 -0.3722887 +23677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.702784654 -0.3722887 +23678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.747955273 -0.3722887 +23679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.290777082 -0.3722887 +23680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.068587507 -0.3722887 +23681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.771569143 -0.3722887 +23682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.067835576 -0.3722887 +23683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.442547835 -0.3722887 +23684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.287293032 -0.3722887 +23686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.59709196 -0.3722887 +23687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.155035916 -0.3722887 +23688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.166732603 -0.3722887 +23690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.559501004 -0.3722887 +23689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.258355174 -0.3722887 +23685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.557478696 -0.3722887 +23691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.386556774 -0.3722887 +23692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.019511018 -0.3722887 +23693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.468402421 -0.3722887 +23694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.332915331 -0.3722887 +23695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.60124905 -0.3722887 +23696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.082509725 -0.3722887 +23698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.426142901 -0.3722887 +23699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.349650564 -0.3722887 +23700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.385539485 -0.3722887 +23697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.680166639 -0.3722887 +23702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.338061123 -0.3722887 +23701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.631078317 -0.3722887 +23703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.014072992 -0.3722887 +23705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.519665488 -0.3722887 +23704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.446811806 -0.3722887 +23706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.618576492 -0.3722887 +23708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.073765578 -0.3722887 +23710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.601647932 -0.3722887 +23709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.741692464 -0.3722887 +23707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.505304986 -0.3722887 +23711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.216918308 -0.3722887 +23712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.503682906 -0.3722887 +23713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.048274741 -0.3722887 +23714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.108955248 -0.3722887 +23715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.107711715 -0.3722887 +23719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.674184077 -0.3722887 +23717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.678762401 -0.3722887 +23720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.681023252 -0.3722887 +23718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.019684901 -0.3722887 +23721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.643967439 -0.3722887 +23716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.352628507 -0.3722887 +23722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.281605119 -0.3722887 +23725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.563466497 -0.3722887 +23724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.666009886 -0.3722887 +23723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.436780922 -0.3722887 +23726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.654803456 -0.3722887 +23727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.430566835 -0.3722887 +23729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.33890167 -0.3722887 +23728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.069318733 -0.3722887 +23730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.335255603 -0.3722887 +23732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.7231224 -0.3722887 +23734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.531738901 -0.3722887 +23735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.086228631 -0.3722887 +23737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.423666338 -0.3722887 +23733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.111673003 -0.3722887 +23736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.274548385 -0.3722887 +23731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.768558123 -0.3722887 +23738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.216127085 -0.3722887 +23739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.684398514 -0.3722887 +23740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.035347648 -0.3722887 +23741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.222777853 -0.3722887 +23742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.407419951 -0.3722887 +23744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.317503775 -0.3722887 +23745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.177336054 -0.3722887 +23746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.319956806 -0.3722887 +23743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.265198816 -0.3722887 +23749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.044590681 -0.3722887 +23748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.746202503 -0.3722887 +23747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.337968318 -0.3722887 +23751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.072007944 -0.3722887 +23750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.219527481 -0.3722887 +23752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.340536712 -0.3722887 +23753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.555102583 -0.3722887 +23754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.292519148 -0.3722887 +23755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.270840036 -0.3722887 +23757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.013260779 -0.3722887 +23756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.347683615 -0.3722887 +23758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.472091644 -0.3722887 +23760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.381259111 -0.3722887 +23761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.167054934 -0.3722887 +23759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.700737 -0.3722887 +23763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.433378262 -0.3722887 +23764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.562933142 -0.3722887 +23765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.785731637 -0.3722887 +23762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.126691729 -0.3722887 +23766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.608049453 -0.3722887 +23767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.074168364 -0.3722887 +23768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.636822524 -0.3722887 +23769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.309874179 -0.3722887 +23770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.088471982 -0.3722887 +23771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.027938307 -0.3722887 +23772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.746432853 -0.3722887 +23775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.51353433 -0.3722887 +23774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.398023564 -0.3722887 +23773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.167618494 -0.3722887 +23776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.118932738 -0.3722887 +23777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.494669169 -0.3722887 +23779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.574890802 -0.3722887 +23778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.231497891 -0.3722887 +23780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.27008366 -0.3722887 +23782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.518990337 -0.3722887 +23781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.087274387 -0.3722887 +23784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.508429931 -0.3722887 +23785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.074516484 -0.3722887 +23783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.795615124 -0.3722887 +23786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.285437035 -0.3722887 +23787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.194244824 -0.3722887 +23788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.558369354 -0.3722887 +23789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.727028165 -0.3722887 +23791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.219497832 -0.3722887 +23792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.525224412 -0.3722887 +23794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.463994387 -0.3722887 +23795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.609981192 -0.3722887 +23790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.17620565 -0.3722887 +23793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.140393036 -0.3722887 +23796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.280823995 -0.3722887 +23797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.625805203 -0.3722887 +23799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.434285777 -0.3722887 +23798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.336110496 -0.3722887 +23800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.59814067 -0.3722887 +23801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.48923137 -0.3722887 +23802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.259758536 -0.3722887 +23803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.662750386 -0.3722887 +23804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.449619498 -0.3722887 +23805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.338831206 -0.3722887 +23806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.180627253 -0.3722887 +23807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.581763218 -0.3722887 +23809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.640283151 -0.3722887 +23810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.204534713 -0.3722887 +23808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.662547457 -0.3722887 +23812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.571559833 -0.3722887 +23814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.237857425 -0.3722887 +23811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.515219705 -0.3722887 +23813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.368527962 -0.3722887 +23815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.120404328 -0.3722887 +23817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.395680023 -0.3722887 +23818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.422245872 -0.3722887 +23816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.077835841 -0.3722887 +23819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.403363653 -0.3722887 +23820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.218866995 -0.3722887 +23823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.194972213 -0.3722887 +23822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.097274717 -0.3722887 +23821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.354131611 -0.3722887 +23824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.238822974 -0.3722887 +23825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.542634906 -0.3722887 +23826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.11179198 -0.3722887 +23828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.210874762 -0.3722887 +23829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.572062082 -0.3722887 +23827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.314266363 -0.3722887 +23830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.470257045 -0.3722887 +23831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.758407835 -0.3722887 +23832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.142231795 -0.3722887 +23833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.472584667 -0.3722887 +23834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.455998835 -0.3722887 +23835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.576782249 -0.3722887 +23837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.566412268 -0.3722887 +23838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.015894963 -0.3722887 +23836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.404561517 -0.3722887 +23839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.632868625 -0.3722887 +23840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.156188459 -0.3722887 +23841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.722048224 -0.3722887 +23842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.758723076 -0.3722887 +23845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.384635214 -0.3722887 +23844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.297954331 -0.3722887 +23846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.271339789 -0.3722887 +23843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.294958436 -0.3722887 +23848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.450973754 -0.3722887 +23847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.378253366 -0.3722887 +23849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.162503232 -0.3722887 +23850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.630024123 -0.3722887 +23851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.443740768 -0.3722887 +23852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.458721433 -0.3722887 +23854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.38440922 -0.3722887 +23853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.687242577 -0.3722887 +23855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.056939277 -0.3722887 +23856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.367859722 -0.3722887 +23857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.539710869 -0.3722887 +23858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.495722268 -0.3722887 +23859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.777138487 -0.3722887 +23860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.475389413 -0.3722887 +23861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.607621951 -0.3722887 +23862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.017435035 -0.3722887 +23863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.44965718 -0.3722887 +23866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.764131397 -0.3722887 +23865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.151408116 -0.3722887 +23864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.118327535 -0.3722887 +23869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.400852269 -0.3722887 +23868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.329928678 -0.3722887 +23867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.267089297 -0.3722887 +23870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.120007532 -0.3722887 +23871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.331153988 -0.3722887 +23873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.706340001 -0.3722887 +23872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.570858677 -0.3722887 +23875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.390272621 -0.3722887 +23876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.211329789 -0.3722887 +23874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.432318699 -0.3722887 +23877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.730131657 -0.3722887 +23878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.010265212 -0.3722887 +23879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.262435466 -0.3722887 +23880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.592089329 -0.3722887 +23881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.607282399 -0.3722887 +23885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.13433508 -0.3722887 +23882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.702743126 -0.3722887 +23883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.738743058 -0.3722887 +23886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.610087927 -0.3722887 +23887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.361131195 -0.3722887 +23884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.255314242 -0.3722887 +23889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.002687772 -0.3722887 +23888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.519542148 -0.3722887 +23890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.81491361 -0.3722887 +23891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.052553648 -0.3722887 +23892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.09375656 -0.3722887 +23893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.040864808 -0.3722887 +23894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.196103715 -0.3722887 +23895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.492267057 -0.3722887 +23897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.038037079 -0.3722887 +23896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.287023357 -0.3722887 +23898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.657745403 -0.3722887 +23899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.580918149 -0.3722887 +23900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.517185302 -0.3722887 +23901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.749989229 -0.3722887 +23902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.275490379 -0.3722887 +23903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.009038438 -0.3722887 +23905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.80493727 -0.3722887 +23904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.739783357 -0.3722887 +23906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.266225261 -0.3722887 +23907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.803251547 -0.3722887 +23908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.642887522 -0.3722887 +23909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.121028955 -0.3722887 +23910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.225914907 -0.3722887 +23911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.766953053 -0.3722887 +23912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.621064097 -0.3722887 +23914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.745329909 -0.3722887 +23916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.754683739 -0.3722887 +23913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.771529261 -0.3722887 +23915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.428560791 -0.3722887 +23917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.600446291 -0.3722887 +23918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.030844419 -0.3722887 +23920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.617825012 -0.3722887 +23921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.708879816 -0.3722887 +23919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.122426375 -0.3722887 +23922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.001111646 -0.3722887 +23924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.080039867 -0.3722887 +23925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.683257871 -0.3722887 +23923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.140878929 -0.3722887 +23926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.022375155 -0.3722887 +23927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.270714853 -0.3722887 +23931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.057533597 -0.3722887 +23928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.051782756 -0.3722887 +23929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.339813295 -0.3722887 +23930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.495477757 -0.3722887 +23932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.386826411 -0.3722887 +23933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.028974615 -0.3722887 +23934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.083333412 -0.3722887 +23935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.024304043 -0.3722887 +23936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.574524737 -0.3722887 +23937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.588616173 -0.3722887 +23938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.028865108 -0.3722887 +23939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.020913182 -0.3722887 +23941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.255452052 -0.3722887 +23940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.3253751 -0.3722887 +23942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.354249103 -0.3722887 +23943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.576704472 -0.3722887 +23945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.806248209 -0.3722887 +23946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.709319214 -0.3722887 +23947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.076315449 -0.3722887 +23944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.187298372 -0.3722887 +23949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.075415085 -0.3722887 +23948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.681151029 -0.3722887 +23950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.552454387 -0.3722887 +23951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.041096932 -0.3722887 +23952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.459454445 -0.3722887 +23954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.549995278 -0.3722887 +23955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.051405092 -0.3722887 +23953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.191080313 -0.3722887 +23958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.647368617 -0.3722887 +23957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.287577564 -0.3722887 +23956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.310640921 -0.3722887 +23959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.08037528 -0.3722887 +23960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.658917888 -0.3722887 +23961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.111611013 -0.3722887 +23962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.531835437 -0.3722887 +23963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.696131151 -0.3722887 +23966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.459864032 -0.3722887 +23967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.656512641 -0.3722887 +23965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.260246672 -0.3722887 +23964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.142473397 -0.3722887 +23968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.084904166 -0.3722887 +23969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.319925137 -0.3722887 +23970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.633523785 -0.3722887 +23974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.427624747 -0.3722887 +23975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.31254603 -0.3722887 +23972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.449970698 -0.3722887 +23973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.494953496 -0.3722887 +23976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.768952461 -0.3722887 +23971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.378712252 -0.3722887 +23977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.301875638 -0.3722887 +23978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.536815785 -0.3722887 +23979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.861465821 -0.3722887 +23980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.020366093 -0.3722887 +23982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.684741964 -0.3722887 +23981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.152625626 -0.3722887 +23984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.448513043 -0.3722887 +23983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.050811514 -0.3722887 +23985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.073607175 -0.3722887 +23986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.129265099 -0.3722887 +23987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.227697571 -0.3722887 +23988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.376521217 -0.3722887 +23990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.588609428 -0.3722887 +23989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.554905258 -0.3722887 +23993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.236197422 -0.3722887 +23992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.677508507 -0.3722887 +23991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.122207676 -0.3722887 +23994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.587021414 -0.3722887 +23995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.062035634 -0.3722887 +23996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.325615434 -0.3722887 +23997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.636616876 -0.3722887 +23998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.154578512 -0.3722887 +23999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 -0.501883585 -0.3722887 +24000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.15 10 1 0.023545456 -0.3722887 +24001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.092549018 -0.381231273 +24002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.763880041 -0.381231273 +24004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.156232146 -0.381231273 +24003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.385291377 -0.381231273 +24005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.51116162 -0.381231273 +24006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.632414196 -0.381231273 +24007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.265532688 -0.381231273 +24008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.421724826 -0.381231273 +24010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.165743803 -0.381231273 +24009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.438355332 -0.381231273 +24011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.766384363 -0.381231273 +24012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.465723125 -0.381231273 +24013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.240156876 -0.381231273 +24014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.283000643 -0.381231273 +24015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.033374279 -0.381231273 +24016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.186298332 -0.381231273 +24017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.41858616 -0.381231273 +24019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.253633609 -0.381231273 +24018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.463641084 -0.381231273 +24020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.168198505 -0.381231273 +24021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.588504399 -0.381231273 +24022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.672461683 -0.381231273 +24024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.658633378 -0.381231273 +24023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.641290131 -0.381231273 +24025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.501570291 -0.381231273 +24026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.386925499 -0.381231273 +24028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.137049243 -0.381231273 +24029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.112149358 -0.381231273 +24030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.599067667 -0.381231273 +24032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.633960415 -0.381231273 +24031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.251477324 -0.381231273 +24027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.002297957 -0.381231273 +24033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.089213685 -0.381231273 +24034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.351119652 -0.381231273 +24035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.714435416 -0.381231273 +24037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.743230947 -0.381231273 +24036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.714297378 -0.381231273 +24039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.150372689 -0.381231273 +24038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.790460555 -0.381231273 +24040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.441397177 -0.381231273 +24041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.23623333 -0.381231273 +24042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.0631937 -0.381231273 +24043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.340691384 -0.381231273 +24044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.176989403 -0.381231273 +24045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.089518733 -0.381231273 +24046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.011075931 -0.381231273 +24047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.79192261 -0.381231273 +24049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.594371861 -0.381231273 +24050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.024902974 -0.381231273 +24051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.728623363 -0.381231273 +24048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.385475828 -0.381231273 +24052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.748257409 -0.381231273 +24053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.761561739 -0.381231273 +24054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.401102115 -0.381231273 +24055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.574660164 -0.381231273 +24056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.762393626 -0.381231273 +24057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.671950076 -0.381231273 +24058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.38006637 -0.381231273 +24059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.33942428 -0.381231273 +24060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.599831497 -0.381231273 +24061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.063114119 -0.381231273 +24062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.354354739 -0.381231273 +24063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.344330211 -0.381231273 +24064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.665651612 -0.381231273 +24065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.116621021 -0.381231273 +24066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.470417513 -0.381231273 +24068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.768970441 -0.381231273 +24070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.515261701 -0.381231273 +24067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.189238249 -0.381231273 +24071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.450327399 -0.381231273 +24069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.716836362 -0.381231273 +24072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.749476768 -0.381231273 +24074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.373389802 -0.381231273 +24073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.067498578 -0.381231273 +24075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.374145648 -0.381231273 +24076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.385669806 -0.381231273 +24078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.026967999 -0.381231273 +24079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.031609349 -0.381231273 +24077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.073992842 -0.381231273 +24080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.526684632 -0.381231273 +24081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.670802518 -0.381231273 +24082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.506868271 -0.381231273 +24083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.20948302 -0.381231273 +24084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.578708876 -0.381231273 +24085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.583768641 -0.381231273 +24086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.137035544 -0.381231273 +24087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.459045139 -0.381231273 +24088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.762599867 -0.381231273 +24089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.320149804 -0.381231273 +24090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.77471778 -0.381231273 +24091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.473114126 -0.381231273 +24092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.810831715 -0.381231273 +24093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.773642424 -0.381231273 +24094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.017812658 -0.381231273 +24095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.362912676 -0.381231273 +24097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.49772548 -0.381231273 +24096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.410775429 -0.381231273 +24098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.578116004 -0.381231273 +24099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.684731527 -0.381231273 +24100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.283137467 -0.381231273 +24101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.560057889 -0.381231273 +24102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.352232873 -0.381231273 +24103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.610576053 -0.381231273 +24104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.243129783 -0.381231273 +24105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.489896941 -0.381231273 +24106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.161407175 -0.381231273 +24107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.260206037 -0.381231273 +24109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.083207851 -0.381231273 +24108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.287946489 -0.381231273 +24110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.380742532 -0.381231273 +24112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.634003647 -0.381231273 +24111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.008863916 -0.381231273 +24114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.25066236 -0.381231273 +24113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.012051155 -0.381231273 +24115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.429386655 -0.381231273 +24116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.399699103 -0.381231273 +24117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.670609334 -0.381231273 +24118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.096150491 -0.381231273 +24121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.553023481 -0.381231273 +24122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.394910464 -0.381231273 +24120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.224015767 -0.381231273 +24119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.613897837 -0.381231273 +24123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.104844052 -0.381231273 +24124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.893003919 -0.381231273 +24125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.752310488 -0.381231273 +24126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.524262026 -0.381231273 +24129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.135811269 -0.381231273 +24127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.394761861 -0.381231273 +24130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.004801295 -0.381231273 +24131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.445008874 -0.381231273 +24132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.374126915 -0.381231273 +24133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.023824769 -0.381231273 +24134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.703139095 -0.381231273 +24128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.05534609 -0.381231273 +24135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.166701968 -0.381231273 +24136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.617295701 -0.381231273 +24137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.142773509 -0.381231273 +24138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.205179418 -0.381231273 +24139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.442580932 -0.381231273 +24140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.298245357 -0.381231273 +24141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.021535528 -0.381231273 +24142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.643535429 -0.381231273 +24143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.430550811 -0.381231273 +24145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.74030834 -0.381231273 +24144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.119405989 -0.381231273 +24146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.46703828 -0.381231273 +24147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.004200357 -0.381231273 +24148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.413862224 -0.381231273 +24149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.567129819 -0.381231273 +24150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.291280234 -0.381231273 +24151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.054561271 -0.381231273 +24152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.196184546 -0.381231273 +24153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.45296479 -0.381231273 +24154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.454513373 -0.381231273 +24155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.599424877 -0.381231273 +24156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.584676476 -0.381231273 +24157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.794931498 -0.381231273 +24158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.024615854 -0.381231273 +24159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.698223281 -0.381231273 +24160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.301386825 -0.381231273 +24162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.318374881 -0.381231273 +24163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.536872497 -0.381231273 +24161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.708300491 -0.381231273 +24164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.785999219 -0.381231273 +24165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.232567409 -0.381231273 +24167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.08692934 -0.381231273 +24166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.683974224 -0.381231273 +24168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.583300152 -0.381231273 +24169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.075193335 -0.381231273 +24170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.405126034 -0.381231273 +24172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.730251977 -0.381231273 +24173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.776968203 -0.381231273 +24171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.692271451 -0.381231273 +24175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.416361313 -0.381231273 +24176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.358355696 -0.381231273 +24174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.616249616 -0.381231273 +24177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.689594736 -0.381231273 +24178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.535161159 -0.381231273 +24180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.183686634 -0.381231273 +24179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.073845389 -0.381231273 +24181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.907119792 -0.381231273 +24182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.154791081 -0.381231273 +24184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.066908234 -0.381231273 +24183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.507576641 -0.381231273 +24185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.474940484 -0.381231273 +24186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.414590603 -0.381231273 +24187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.265354772 -0.381231273 +24188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.491339053 -0.381231273 +24191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.721932152 -0.381231273 +24192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.768677431 -0.381231273 +24190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.089620275 -0.381231273 +24193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.826939182 -0.381231273 +24189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.84704672 -0.381231273 +24194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.117164788 -0.381231273 +24195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.045846391 -0.381231273 +24196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.600824634 -0.381231273 +24199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.162747568 -0.381231273 +24198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.416066702 -0.381231273 +24197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.630880973 -0.381231273 +24200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.029772596 -0.381231273 +24201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.114036585 -0.381231273 +24202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.0848193 -0.381231273 +24203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.515087585 -0.381231273 +24204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.070080779 -0.381231273 +24205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.294472449 -0.381231273 +24207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.606084344 -0.381231273 +24206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.457936649 -0.381231273 +24208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.302523009 -0.381231273 +24211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.269335234 -0.381231273 +24210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.670678357 -0.381231273 +24212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.425839408 -0.381231273 +24209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.619844757 -0.381231273 +24213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.654376856 -0.381231273 +24214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.075487491 -0.381231273 +24215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.304596025 -0.381231273 +24216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.055992863 -0.381231273 +24218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.804288747 -0.381231273 +24217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.044983335 -0.381231273 +24219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.749723584 -0.381231273 +24221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.193580589 -0.381231273 +24222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.31421017 -0.381231273 +24220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.396291037 -0.381231273 +24223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.032133006 -0.381231273 +24224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.645830491 -0.381231273 +24225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.244501195 -0.381231273 +24226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.528706026 -0.381231273 +24227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.018582873 -0.381231273 +24228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.212767739 -0.381231273 +24229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.00260857 -0.381231273 +24231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.195734747 -0.381231273 +24232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.528678425 -0.381231273 +24234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.378636364 -0.381231273 +24233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.338667838 -0.381231273 +24230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.695260336 -0.381231273 +24235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.047177749 -0.381231273 +24236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.656019895 -0.381231273 +24239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.517247819 -0.381231273 +24240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.31102309 -0.381231273 +24237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.322574401 -0.381231273 +24238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.156596727 -0.381231273 +24241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.036029149 -0.381231273 +24243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.382590451 -0.381231273 +24242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.214044072 -0.381231273 +24244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.721230038 -0.381231273 +24246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.565509492 -0.381231273 +24247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.026062455 -0.381231273 +24248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.914326693 -0.381231273 +24245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.057912465 -0.381231273 +24249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.268527854 -0.381231273 +24250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.547745982 -0.381231273 +24252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.436572099 -0.381231273 +24251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.583327691 -0.381231273 +24256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.558143501 -0.381231273 +24255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.464824378 -0.381231273 +24254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.649408782 -0.381231273 +24253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.511880395 -0.381231273 +24257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.603984452 -0.381231273 +24258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.187200956 -0.381231273 +24259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.027448394 -0.381231273 +24262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.387587035 -0.381231273 +24263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.540053284 -0.381231273 +24261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.099687083 -0.381231273 +24260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.241689668 -0.381231273 +24264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.73260254 -0.381231273 +24265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.23853946 -0.381231273 +24266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.265708454 -0.381231273 +24267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.552518739 -0.381231273 +24268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.791872421 -0.381231273 +24269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.595607635 -0.381231273 +24270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.667709515 -0.381231273 +24272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.07182759 -0.381231273 +24274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.19458582 -0.381231273 +24271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.741781908 -0.381231273 +24273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.027765366 -0.381231273 +24278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.006726094 -0.381231273 +24275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.450764449 -0.381231273 +24280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.661798548 -0.381231273 +24277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.042763327 -0.381231273 +24276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.254396846 -0.381231273 +24282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.006217738 -0.381231273 +24281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.19162949 -0.381231273 +24279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.689083593 -0.381231273 +24283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.402575536 -0.381231273 +24285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.205924038 -0.381231273 +24284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.059802963 -0.381231273 +24287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.22870962 -0.381231273 +24286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.284543605 -0.381231273 +24288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.763020921 -0.381231273 +24290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.089041762 -0.381231273 +24289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.296094511 -0.381231273 +24291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.800939905 -0.381231273 +24293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.504949134 -0.381231273 +24297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.16319909 -0.381231273 +24296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.156362536 -0.381231273 +24295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.709387537 -0.381231273 +24294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.178373046 -0.381231273 +24292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.693863522 -0.381231273 +24298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.43769824 -0.381231273 +24299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.007073629 -0.381231273 +24303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.730027203 -0.381231273 +24300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.340438686 -0.381231273 +24301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.543526933 -0.381231273 +24302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.417268762 -0.381231273 +24304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.862610201 -0.381231273 +24305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.483138709 -0.381231273 +24306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.605763253 -0.381231273 +24307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.158614517 -0.381231273 +24309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.158079518 -0.381231273 +24311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.082894715 -0.381231273 +24308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.341024734 -0.381231273 +24312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.181143583 -0.381231273 +24310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.399113203 -0.381231273 +24313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.523568368 -0.381231273 +24314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.299232849 -0.381231273 +24315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.392499699 -0.381231273 +24319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.314411216 -0.381231273 +24318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.161180571 -0.381231273 +24317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.721364927 -0.381231273 +24316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.025541288 -0.381231273 +24320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.123086846 -0.381231273 +24321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.295286945 -0.381231273 +24323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.610802747 -0.381231273 +24326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.797502647 -0.381231273 +24325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.588274424 -0.381231273 +24322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.634185546 -0.381231273 +24327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.388684984 -0.381231273 +24324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.561535192 -0.381231273 +24329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.649640645 -0.381231273 +24328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.641592746 -0.381231273 +24332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.680325379 -0.381231273 +24331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.506436293 -0.381231273 +24330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.117442076 -0.381231273 +24334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.512212249 -0.381231273 +24333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.606579164 -0.381231273 +24335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.527308708 -0.381231273 +24337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.530423685 -0.381231273 +24336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.341493691 -0.381231273 +24338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.104548199 -0.381231273 +24339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.228273942 -0.381231273 +24340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.032801719 -0.381231273 +24343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.610859101 -0.381231273 +24342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.18540992 -0.381231273 +24341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.652920932 -0.381231273 +24344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.256065824 -0.381231273 +24345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.556647767 -0.381231273 +24346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.494869117 -0.381231273 +24347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.243396471 -0.381231273 +24348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.388973124 -0.381231273 +24350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.151008456 -0.381231273 +24349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.135936766 -0.381231273 +24351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.583223448 -0.381231273 +24352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.297544918 -0.381231273 +24353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.169795487 -0.381231273 +24354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.225135841 -0.381231273 +24355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.185598624 -0.381231273 +24356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.296464734 -0.381231273 +24358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.130834409 -0.381231273 +24357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.350571284 -0.381231273 +24359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.539109041 -0.381231273 +24360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.686579749 -0.381231273 +24362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.435899192 -0.381231273 +24363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.080362758 -0.381231273 +24361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.236882017 -0.381231273 +24364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.411566966 -0.381231273 +24365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.360075625 -0.381231273 +24367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.204403608 -0.381231273 +24366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.1137703 -0.381231273 +24368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.189544571 -0.381231273 +24369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.640682693 -0.381231273 +24370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.580962525 -0.381231273 +24372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.581833374 -0.381231273 +24371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.787472788 -0.381231273 +24373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.218205228 -0.381231273 +24374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.680779372 -0.381231273 +24377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.060055055 -0.381231273 +24376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.634858933 -0.381231273 +24378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.46074863 -0.381231273 +24375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.725145292 -0.381231273 +24379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.207475931 -0.381231273 +24381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.798000676 -0.381231273 +24380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.515469658 -0.381231273 +24383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.680293092 -0.381231273 +24382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.249296023 -0.381231273 +24384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.250141795 -0.381231273 +24386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.637713512 -0.381231273 +24385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.020812322 -0.381231273 +24387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.753330126 -0.381231273 +24388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.010230861 -0.381231273 +24392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.750447417 -0.381231273 +24391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.704368991 -0.381231273 +24389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.086637124 -0.381231273 +24390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.290035567 -0.381231273 +24393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.114908516 -0.381231273 +24394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.071094074 -0.381231273 +24395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.128257491 -0.381231273 +24396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.50149252 -0.381231273 +24397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.096009799 -0.381231273 +24400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.512644568 -0.381231273 +24399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.091740814 -0.381231273 +24401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.080954038 -0.381231273 +24402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.082290749 -0.381231273 +24398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.329368768 -0.381231273 +24403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.4019748 -0.381231273 +24404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.430416717 -0.381231273 +24405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.319241146 -0.381231273 +24409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.224298203 -0.381231273 +24407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.408697437 -0.381231273 +24410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.186341864 -0.381231273 +24406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.043898054 -0.381231273 +24408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.603759039 -0.381231273 +24412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.311149752 -0.381231273 +24411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.544919687 -0.381231273 +24413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.022552017 -0.381231273 +24414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.570506155 -0.381231273 +24415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.27329436 -0.381231273 +24416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.72862717 -0.381231273 +24417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.711499687 -0.381231273 +24419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.64114039 -0.381231273 +24418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.070796839 -0.381231273 +24420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.40421461 -0.381231273 +24421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.02168356 -0.381231273 +24422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.035152956 -0.381231273 +24423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.268292909 -0.381231273 +24424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.050291782 -0.381231273 +24426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.104792202 -0.381231273 +24425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.654267441 -0.381231273 +24428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.622068654 -0.381231273 +24430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.009908357 -0.381231273 +24431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.79750345 -0.381231273 +24429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.342547779 -0.381231273 +24427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.048576959 -0.381231273 +24432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.350812627 -0.381231273 +24433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.150137877 -0.381231273 +24435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.722876852 -0.381231273 +24434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.180662233 -0.381231273 +24438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.247080292 -0.381231273 +24436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.610306885 -0.381231273 +24437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.449030297 -0.381231273 +24439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.53277163 -0.381231273 +24440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.01341389 -0.381231273 +24442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.228015822 -0.381231273 +24443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.143925429 -0.381231273 +24445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.73703874 -0.381231273 +24441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.038910758 -0.381231273 +24444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.217887938 -0.381231273 +24446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.692129804 -0.381231273 +24448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.377931945 -0.381231273 +24449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.580047505 -0.381231273 +24451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.107481674 -0.381231273 +24447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.259941545 -0.381231273 +24452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.691673534 -0.381231273 +24453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.832789624 -0.381231273 +24450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.337420533 -0.381231273 +24454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.146727671 -0.381231273 +24455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.067080186 -0.381231273 +24456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.038155247 -0.381231273 +24457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.143336056 -0.381231273 +24459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.628829033 -0.381231273 +24458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.54053867 -0.381231273 +24461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.716358436 -0.381231273 +24462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.605258377 -0.381231273 +24460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.011785912 -0.381231273 +24464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.105811976 -0.381231273 +24463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.062402764 -0.381231273 +24465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.114343087 -0.381231273 +24466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.147770722 -0.381231273 +24467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.61408806 -0.381231273 +24468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.709757299 -0.381231273 +24469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.009696063 -0.381231273 +24470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.614200167 -0.381231273 +24471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.248350585 -0.381231273 +24472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.525528551 -0.381231273 +24473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.836028613 -0.381231273 +24474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.33482316 -0.381231273 +24475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.377210093 -0.381231273 +24476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.335002355 -0.381231273 +24477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.55376516 -0.381231273 +24478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.513601365 -0.381231273 +24479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.687333452 -0.381231273 +24481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.750793262 -0.381231273 +24482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.5803676 -0.381231273 +24480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.705425274 -0.381231273 +24483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.350463011 -0.381231273 +24484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.436473543 -0.381231273 +24486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.324535468 -0.381231273 +24489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.27182944 -0.381231273 +24487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.203368875 -0.381231273 +24488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.597882751 -0.381231273 +24490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.371728625 -0.381231273 +24485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.282340609 -0.381231273 +24493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.028906289 -0.381231273 +24492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.590499273 -0.381231273 +24495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.225981566 -0.381231273 +24496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.181937659 -0.381231273 +24494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.612305319 -0.381231273 +24497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.669069128 -0.381231273 +24491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.375651348 -0.381231273 +24498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.128359839 -0.381231273 +24499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.688511972 -0.381231273 +24500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.487438354 -0.381231273 +24501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.132914029 -0.381231273 +24502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.770954196 -0.381231273 +24503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.162724297 -0.381231273 +24506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.376548105 -0.381231273 +24505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.782818578 -0.381231273 +24504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.429252963 -0.381231273 +24508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.671997367 -0.381231273 +24507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.052503042 -0.381231273 +24509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.35331428 -0.381231273 +24510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.038053602 -0.381231273 +24514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.329515783 -0.381231273 +24512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.524495698 -0.381231273 +24511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.11601918 -0.381231273 +24516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.452561233 -0.381231273 +24515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.592330172 -0.381231273 +24513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.321295707 -0.381231273 +24517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.709150374 -0.381231273 +24518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.182664599 -0.381231273 +24520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.078591657 -0.381231273 +24521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.366401755 -0.381231273 +24522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.718638829 -0.381231273 +24523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.088689844 -0.381231273 +24524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.146303291 -0.381231273 +24526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.344356276 -0.381231273 +24519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.218741893 -0.381231273 +24525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.016156862 -0.381231273 +24528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.146079461 -0.381231273 +24529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.567916623 -0.381231273 +24527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.497228214 -0.381231273 +24531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.501149665 -0.381231273 +24530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.670865287 -0.381231273 +24532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.568822374 -0.381231273 +24533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.723970484 -0.381231273 +24534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.278983343 -0.381231273 +24537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.053182532 -0.381231273 +24535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.091969987 -0.381231273 +24536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.244254136 -0.381231273 +24539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.26117388 -0.381231273 +24540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.80696314 -0.381231273 +24541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.093920682 -0.381231273 +24538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.540035183 -0.381231273 +24542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.438815825 -0.381231273 +24544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.648595614 -0.381231273 +24543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.048981729 -0.381231273 +24545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.005493589 -0.381231273 +24546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.227434644 -0.381231273 +24547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.583377767 -0.381231273 +24548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.756475732 -0.381231273 +24550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.104260768 -0.381231273 +24549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.191194154 -0.381231273 +24551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.178855546 -0.381231273 +24552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.680374476 -0.381231273 +24553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.186883179 -0.381231273 +24555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.370577874 -0.381231273 +24556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.533035303 -0.381231273 +24554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.463916278 -0.381231273 +24557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.019021866 -0.381231273 +24559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.405518798 -0.381231273 +24558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.227625686 -0.381231273 +24560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.610385883 -0.381231273 +24561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.534922657 -0.381231273 +24562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.693279186 -0.381231273 +24564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.801856821 -0.381231273 +24563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.050191712 -0.381231273 +24565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.74998169 -0.381231273 +24566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.167127241 -0.381231273 +24567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.028784219 -0.381231273 +24569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.670070802 -0.381231273 +24568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.61426281 -0.381231273 +24570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.39997087 -0.381231273 +24572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.156204819 -0.381231273 +24571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.127795283 -0.381231273 +24573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.115182397 -0.381231273 +24574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.796055826 -0.381231273 +24575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.693709545 -0.381231273 +24577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.556849417 -0.381231273 +24576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.747925924 -0.381231273 +24578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.031098561 -0.381231273 +24580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.317022842 -0.381231273 +24582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.416495626 -0.381231273 +24579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.490672958 -0.381231273 +24581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.676982418 -0.381231273 +24584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.138696135 -0.381231273 +24583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.026820275 -0.381231273 +24586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.307851773 -0.381231273 +24585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.512326684 -0.381231273 +24588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.516142703 -0.381231273 +24587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.306851043 -0.381231273 +24589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.225788252 -0.381231273 +24590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.24053175 -0.381231273 +24591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.654124049 -0.381231273 +24593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.119542893 -0.381231273 +24592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.735724982 -0.381231273 +24594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.063412346 -0.381231273 +24596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.746998444 -0.381231273 +24595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.518110152 -0.381231273 +24597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.644751105 -0.381231273 +24598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.368915246 -0.381231273 +24600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.568527981 -0.381231273 +24599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.530494097 -0.381231273 +24601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.86662269 -0.381231273 +24603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.592862018 -0.381231273 +24604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.694759245 -0.381231273 +24605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.553674495 -0.381231273 +24602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.018257409 -0.381231273 +24606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.44508102 -0.381231273 +24608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.322849064 -0.381231273 +24607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.178284948 -0.381231273 +24609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.638927623 -0.381231273 +24612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.210032608 -0.381231273 +24611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.350001867 -0.381231273 +24614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.127386635 -0.381231273 +24613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.623374625 -0.381231273 +24610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.329670747 -0.381231273 +24616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.366030803 -0.381231273 +24617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.708407967 -0.381231273 +24615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.58285545 -0.381231273 +24618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.36073407 -0.381231273 +24619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.579115701 -0.381231273 +24620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.796972615 -0.381231273 +24622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.648106839 -0.381231273 +24624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.56041965 -0.381231273 +24625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.628883577 -0.381231273 +24623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.631734828 -0.381231273 +24626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.396578487 -0.381231273 +24628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.090297543 -0.381231273 +24627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.275531159 -0.381231273 +24621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.027822315 -0.381231273 +24629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.622462383 -0.381231273 +24631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.46158838 -0.381231273 +24630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.588577012 -0.381231273 +24632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.167343079 -0.381231273 +24634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.777972657 -0.381231273 +24633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.127431315 -0.381231273 +24635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.55339007 -0.381231273 +24636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.091271995 -0.381231273 +24637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.644426547 -0.381231273 +24640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.650621171 -0.381231273 +24639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.8756918 -0.381231273 +24638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.390168625 -0.381231273 +24642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.413723354 -0.381231273 +24641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.279885341 -0.381231273 +24643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 3.51E-04 -0.381231273 +24645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.172889619 -0.381231273 +24644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.190153277 -0.381231273 +24646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.236680752 -0.381231273 +24648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.815232479 -0.381231273 +24647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.625143092 -0.381231273 +24649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.730228467 -0.381231273 +24650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.467622113 -0.381231273 +24651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.67885792 -0.381231273 +24652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.138616289 -0.381231273 +24654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.849377494 -0.381231273 +24656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.240373351 -0.381231273 +24655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.747496986 -0.381231273 +24653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.448451427 -0.381231273 +24657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.170926833 -0.381231273 +24658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.078137631 -0.381231273 +24659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.015104412 -0.381231273 +24660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.267237877 -0.381231273 +24661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.062562998 -0.381231273 +24663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.026290488 -0.381231273 +24665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.090566819 -0.381231273 +24662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.790728834 -0.381231273 +24666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.532318748 -0.381231273 +24667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.156860815 -0.381231273 +24664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.169749508 -0.381231273 +24669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.671275391 -0.381231273 +24670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.36455417 -0.381231273 +24672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.229295446 -0.381231273 +24671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.008620179 -0.381231273 +24673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.016434604 -0.381231273 +24674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.032994196 -0.381231273 +24668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.731996309 -0.381231273 +24675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.056646426 -0.381231273 +24676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.159036142 -0.381231273 +24677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.422501552 -0.381231273 +24678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.015714535 -0.381231273 +24679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.645948851 -0.381231273 +24681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.161763289 -0.381231273 +24680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.102721444 -0.381231273 +24682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.078393914 -0.381231273 +24683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.19993039 -0.381231273 +24684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.131612009 -0.381231273 +24685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.131727527 -0.381231273 +24686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.401469301 -0.381231273 +24687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.504741561 -0.381231273 +24688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.251788604 -0.381231273 +24689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.224493662 -0.381231273 +24690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.591809323 -0.381231273 +24692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.62998145 -0.381231273 +24693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.730833347 -0.381231273 +24695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.284099497 -0.381231273 +24694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.059269811 -0.381231273 +24697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.576345876 -0.381231273 +24691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.205355575 -0.381231273 +24698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.552324304 -0.381231273 +24696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.646553491 -0.381231273 +24699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.372346536 -0.381231273 +24700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.461950521 -0.381231273 +24701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.591016559 -0.381231273 +24702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.443814027 -0.381231273 +24703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.234736945 -0.381231273 +24705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.430264256 -0.381231273 +24706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.4872091 -0.381231273 +24704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.206143058 -0.381231273 +24707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.620243305 -0.381231273 +24708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.009514265 -0.381231273 +24709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.010525302 -0.381231273 +24710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.268815916 -0.381231273 +24711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.263704531 -0.381231273 +24712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.08931343 -0.381231273 +24713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.427978053 -0.381231273 +24717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.14939828 -0.381231273 +24716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.419624022 -0.381231273 +24715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.056796287 -0.381231273 +24718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.013744394 -0.381231273 +24714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.144824551 -0.381231273 +24719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.044935607 -0.381231273 +24720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.768214712 -0.381231273 +24722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.034442007 -0.381231273 +24723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.012906526 -0.381231273 +24721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.592614505 -0.381231273 +24724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.842309822 -0.381231273 +24725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.305852693 -0.381231273 +24727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.241892946 -0.381231273 +24726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.477070439 -0.381231273 +24728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.565243184 -0.381231273 +24729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.326287377 -0.381231273 +24731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.006499601 -0.381231273 +24730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.766431263 -0.381231273 +24732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.068458584 -0.381231273 +24733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.024895447 -0.381231273 +24734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.797190084 -0.381231273 +24736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.492579441 -0.381231273 +24737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.770259833 -0.381231273 +24738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.477430535 -0.381231273 +24739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.738133476 -0.381231273 +24740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.190071922 -0.381231273 +24735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.033248593 -0.381231273 +24741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.14036717 -0.381231273 +24742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.432604812 -0.381231273 +24743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.420731055 -0.381231273 +24744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.120337267 -0.381231273 +24746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.194005125 -0.381231273 +24747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.412699327 -0.381231273 +24745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.478316004 -0.381231273 +24748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.671880857 -0.381231273 +24749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.719929142 -0.381231273 +24750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.136115086 -0.381231273 +24752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.118656504 -0.381231273 +24753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.47077404 -0.381231273 +24754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.557460396 -0.381231273 +24755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.546305428 -0.381231273 +24751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.36202207 -0.381231273 +24757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.321042519 -0.381231273 +24756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.146365956 -0.381231273 +24758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.796155675 -0.381231273 +24759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.451301901 -0.381231273 +24761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.081518681 -0.381231273 +24760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.599760248 -0.381231273 +24763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.023945041 -0.381231273 +24762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.296062614 -0.381231273 +24765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.624249021 -0.381231273 +24766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.282335484 -0.381231273 +24764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.042730688 -0.381231273 +24767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.394253059 -0.381231273 +24770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.760034223 -0.381231273 +24768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.360373782 -0.381231273 +24769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.635971413 -0.381231273 +24771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.445444605 -0.381231273 +24772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.730345591 -0.381231273 +24774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.754679606 -0.381231273 +24775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.166304444 -0.381231273 +24773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.705481108 -0.381231273 +24776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.289819762 -0.381231273 +24779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.665339531 -0.381231273 +24778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.597950926 -0.381231273 +24777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.18468988 -0.381231273 +24782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.667921144 -0.381231273 +24781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.096786322 -0.381231273 +24783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.504158236 -0.381231273 +24785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.73096488 -0.381231273 +24784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.107673533 -0.381231273 +24787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.255722712 -0.381231273 +24786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.176560045 -0.381231273 +24780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.834404131 -0.381231273 +24789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.022460943 -0.381231273 +24788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.351180156 -0.381231273 +24791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.165134155 -0.381231273 +24790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.38087633 -0.381231273 +24792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.575509466 -0.381231273 +24793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.077246002 -0.381231273 +24795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.193645948 -0.381231273 +24794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.363458314 -0.381231273 +24796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.702707513 -0.381231273 +24797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.230694315 -0.381231273 +24799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.467671398 -0.381231273 +24800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.50356649 -0.381231273 +24801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.028347902 -0.381231273 +24798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.736606804 -0.381231273 +24803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.282663601 -0.381231273 +24802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.368947253 -0.381231273 +24804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.460704365 -0.381231273 +24805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.47750564 -0.381231273 +24806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.180211121 -0.381231273 +24807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.059204503 -0.381231273 +24808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.289391745 -0.381231273 +24810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.107092231 -0.381231273 +24809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.330412844 -0.381231273 +24812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.638713569 -0.381231273 +24811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.391983725 -0.381231273 +24815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.18178194 -0.381231273 +24814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.412102213 -0.381231273 +24816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.387437509 -0.381231273 +24817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.443941806 -0.381231273 +24818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.104805202 -0.381231273 +24813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.504450689 -0.381231273 +24819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.609686325 -0.381231273 +24822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.624179783 -0.381231273 +24821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.315098854 -0.381231273 +24823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.296858128 -0.381231273 +24824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.482963058 -0.381231273 +24825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.541253648 -0.381231273 +24820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.811186055 -0.381231273 +24826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.762839921 -0.381231273 +24827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.281038513 -0.381231273 +24828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.220783227 -0.381231273 +24829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.934279186 -0.381231273 +24831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.266428503 -0.381231273 +24832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.222157844 -0.381231273 +24830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.223572972 -0.381231273 +24834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.26561985 -0.381231273 +24833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.748167548 -0.381231273 +24835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.121029786 -0.381231273 +24836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.866762458 -0.381231273 +24837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.396316145 -0.381231273 +24838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.193190239 -0.381231273 +24840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.729660219 -0.381231273 +24839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.436320515 -0.381231273 +24841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.212058972 -0.381231273 +24842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.333241855 -0.381231273 +24845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.089527934 -0.381231273 +24846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.220186834 -0.381231273 +24843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.683183036 -0.381231273 +24844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.653583775 -0.381231273 +24847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.154418799 -0.381231273 +24848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.62868595 -0.381231273 +24849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.52156328 -0.381231273 +24851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.043570372 -0.381231273 +24852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.456283077 -0.381231273 +24850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.370719162 -0.381231273 +24853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.498920056 -0.381231273 +24854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.26121477 -0.381231273 +24857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.053476181 -0.381231273 +24858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.206190346 -0.381231273 +24855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.55365312 -0.381231273 +24856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.468916884 -0.381231273 +24859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.18703486 -0.381231273 +24860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.435348884 -0.381231273 +24861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.648253075 -0.381231273 +24862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.513914137 -0.381231273 +24863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.171595933 -0.381231273 +24866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.055518963 -0.381231273 +24865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.039520813 -0.381231273 +24864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.70310474 -0.381231273 +24867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.623629844 -0.381231273 +24869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.453260229 -0.381231273 +24870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.662618784 -0.381231273 +24871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.368429269 -0.381231273 +24874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.505777692 -0.381231273 +24872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.153766685 -0.381231273 +24875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.354074384 -0.381231273 +24873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.691819079 -0.381231273 +24868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.150928482 -0.381231273 +24876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.455965694 -0.381231273 +24877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.103610744 -0.381231273 +24878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.307605643 -0.381231273 +24879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.199522351 -0.381231273 +24881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.797677225 -0.381231273 +24882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.428946105 -0.381231273 +24880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.096349574 -0.381231273 +24883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.774992061 -0.381231273 +24885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.093569789 -0.381231273 +24884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.722453354 -0.381231273 +24886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.798158484 -0.381231273 +24887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.775151776 -0.381231273 +24888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.362075632 -0.381231273 +24889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.277942384 -0.381231273 +24890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.511696083 -0.381231273 +24891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.692274154 -0.381231273 +24892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.27115623 -0.381231273 +24893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.751610505 -0.381231273 +24894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.876534358 -0.381231273 +24895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -2.43E-04 -0.381231273 +24896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.410924652 -0.381231273 +24897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.282216874 -0.381231273 +24900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.430223164 -0.381231273 +24898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.79492995 -0.381231273 +24901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.514883444 -0.381231273 +24899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.189676839 -0.381231273 +24902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.136317699 -0.381231273 +24904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.204641011 -0.381231273 +24903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.253779484 -0.381231273 +24905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.389606759 -0.381231273 +24906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.627898197 -0.381231273 +24908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.426988588 -0.381231273 +24907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.266136032 -0.381231273 +24910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.351869707 -0.381231273 +24911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.521163846 -0.381231273 +24909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.706497264 -0.381231273 +24912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.173730275 -0.381231273 +24914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.306190362 -0.381231273 +24916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.733065979 -0.381231273 +24913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.075003985 -0.381231273 +24915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.568912727 -0.381231273 +24917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.616609956 -0.381231273 +24919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.449975721 -0.381231273 +24918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.523933732 -0.381231273 +24920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.678104301 -0.381231273 +24921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.107309959 -0.381231273 +24923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.068518616 -0.381231273 +24924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.112489601 -0.381231273 +24925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.269309418 -0.381231273 +24922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.336268705 -0.381231273 +24927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.535601736 -0.381231273 +24926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.689265869 -0.381231273 +24928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.088505237 -0.381231273 +24929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.784141925 -0.381231273 +24930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.093418406 -0.381231273 +24932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.768991791 -0.381231273 +24933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.193738065 -0.381231273 +24934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.189062452 -0.381231273 +24935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.029636013 -0.381231273 +24936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.499900636 -0.381231273 +24931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.686210032 -0.381231273 +24937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.153344152 -0.381231273 +24939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.719739079 -0.381231273 +24938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.665780804 -0.381231273 +24941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.258527667 -0.381231273 +24942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.31908213 -0.381231273 +24943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.072458894 -0.381231273 +24944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.797511731 -0.381231273 +24940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.216935723 -0.381231273 +24945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.038924328 -0.381231273 +24946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.020704046 -0.381231273 +24948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.419366065 -0.381231273 +24947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.335126388 -0.381231273 +24949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.312257164 -0.381231273 +24950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.224193454 -0.381231273 +24951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.619174158 -0.381231273 +24952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.136543212 -0.381231273 +24953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.238569411 -0.381231273 +24954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.740630223 -0.381231273 +24955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.012816621 -0.381231273 +24957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.336260363 -0.381231273 +24958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.037077022 -0.381231273 +24956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.499147696 -0.381231273 +24960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.625615792 -0.381231273 +24959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.011694405 -0.381231273 +24962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.750002958 -0.381231273 +24963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.158911824 -0.381231273 +24961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.377781398 -0.381231273 +24965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.063398679 -0.381231273 +24964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.098951865 -0.381231273 +24966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.449633229 -0.381231273 +24967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.40422782 -0.381231273 +24968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.224842746 -0.381231273 +24970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.082834563 -0.381231273 +24971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.408530266 -0.381231273 +24969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.250910866 -0.381231273 +24973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.180409096 -0.381231273 +24972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.114632822 -0.381231273 +24974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 0.06333911 -0.381231273 +24975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.479756867 -0.381231273 +24976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.351910751 -0.381231273 +24977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.700510904 -0.381231273 +24979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.317523683 -0.381231273 +24980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.253886867 -0.381231273 +24978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.513872022 -0.381231273 +24981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.720956221 -0.381231273 +24982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.782761341 -0.381231273 +24983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.757338602 -0.381231273 +24984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.131396163 -0.381231273 +24985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.224820625 -0.381231273 +24986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.597434599 -0.381231273 +24987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.787926376 -0.381231273 +24988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.344002244 -0.381231273 +24989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.133652955 -0.381231273 +24990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.005733366 -0.381231273 +24991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.279290498 -0.381231273 +24994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.52307064 -0.381231273 +24993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.053677732 -0.381231273 +24995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.790557872 -0.381231273 +24996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.338241901 -0.381231273 +24992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.486613241 -0.381231273 +24997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.381660319 -0.381231273 +24999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.834587545 -0.381231273 +24998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.447538593 -0.381231273 +25000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.2 10 1 -0.460970375 -0.381231273 +25001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.612074821 -0.376168264 +25005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.249615387 -0.376168264 +25003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.201735639 -0.376168264 +25004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.158641949 -0.376168264 +25007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.288986387 -0.376168264 +25002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.566613784 -0.376168264 +25006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.198750019 -0.376168264 +25009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.234894695 -0.376168264 +25008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.303230504 -0.376168264 +25011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.421225909 -0.376168264 +25010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.236999132 -0.376168264 +25012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.063722171 -0.376168264 +25014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.640018661 -0.376168264 +25013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.824510665 -0.376168264 +25015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.379355024 -0.376168264 +25017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.215778636 -0.376168264 +25016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.21514257 -0.376168264 +25019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.033546103 -0.376168264 +25018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.534904471 -0.376168264 +25020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.452650831 -0.376168264 +25022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.731564833 -0.376168264 +25021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.697251959 -0.376168264 +25023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.402066295 -0.376168264 +25025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.016560103 -0.376168264 +25024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.326650383 -0.376168264 +25026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.355204809 -0.376168264 +25027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.137521187 -0.376168264 +25028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.661850096 -0.376168264 +25029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.168474266 -0.376168264 +25030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.022508319 -0.376168264 +25031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.64875578 -0.376168264 +25033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.553357733 -0.376168264 +25032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.890554858 -0.376168264 +25034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.592594695 -0.376168264 +25035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.693841036 -0.376168264 +25038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.375215497 -0.376168264 +25036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.316474779 -0.376168264 +25039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.038436277 -0.376168264 +25041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.612237771 -0.376168264 +25037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.682277124 -0.376168264 +25040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.149172452 -0.376168264 +25042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.646537868 -0.376168264 +25043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.475345594 -0.376168264 +25044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.91098761 -0.376168264 +25045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.594106189 -0.376168264 +25049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.348553741 -0.376168264 +25047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.419395656 -0.376168264 +25048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.695835575 -0.376168264 +25046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.205031992 -0.376168264 +25050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.003173703 -0.376168264 +25051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.496961665 -0.376168264 +25052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.245044991 -0.376168264 +25054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.072117633 -0.376168264 +25055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.076397443 -0.376168264 +25058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.713657347 -0.376168264 +25057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.599464024 -0.376168264 +25053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.67786026 -0.376168264 +25056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.214761617 -0.376168264 +25059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.486672734 -0.376168264 +25060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.104296906 -0.376168264 +25062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.412625027 -0.376168264 +25061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.124687552 -0.376168264 +25064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.72923993 -0.376168264 +25063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.414502618 -0.376168264 +25066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.630779202 -0.376168264 +25067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.526476951 -0.376168264 +25065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.655182157 -0.376168264 +25068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.108034572 -0.376168264 +25069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.103809629 -0.376168264 +25070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.640108953 -0.376168264 +25072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.155109128 -0.376168264 +25071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.328535807 -0.376168264 +25073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.548781229 -0.376168264 +25074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.285142404 -0.376168264 +25076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.178470585 -0.376168264 +25077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.676253819 -0.376168264 +25075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.557807081 -0.376168264 +25079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.395145841 -0.376168264 +25080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.672219945 -0.376168264 +25078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.128634869 -0.376168264 +25082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.395094508 -0.376168264 +25081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.158663509 -0.376168264 +25083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.078904844 -0.376168264 +25084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.421595072 -0.376168264 +25087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.01399283 -0.376168264 +25088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.682925633 -0.376168264 +25085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.179481093 -0.376168264 +25086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.716464506 -0.376168264 +25089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.746502717 -0.376168264 +25090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.340166837 -0.376168264 +25092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.095285823 -0.376168264 +25091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.025826908 -0.376168264 +25093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.083072422 -0.376168264 +25094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.466773868 -0.376168264 +25096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.228029737 -0.376168264 +25097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.384060455 -0.376168264 +25098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.424766773 -0.376168264 +25095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.237855529 -0.376168264 +25099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.081643591 -0.376168264 +25100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.058644581 -0.376168264 +25101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.312997363 -0.376168264 +25102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.239087568 -0.376168264 +25103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.537337678 -0.376168264 +25105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.065109051 -0.376168264 +25104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.012233079 -0.376168264 +25109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.606105335 -0.376168264 +25108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.140601398 -0.376168264 +25110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.602245452 -0.376168264 +25107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.286630437 -0.376168264 +25111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.241852702 -0.376168264 +25106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.803678423 -0.376168264 +25112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.362027946 -0.376168264 +25113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.069391285 -0.376168264 +25114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.598018494 -0.376168264 +25115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.300028906 -0.376168264 +25117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.311580335 -0.376168264 +25116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.767067631 -0.376168264 +25118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.139758946 -0.376168264 +25119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.756779257 -0.376168264 +25120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.279122071 -0.376168264 +25121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.825083903 -0.376168264 +25122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.564116035 -0.376168264 +25125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.769299598 -0.376168264 +25124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.244713881 -0.376168264 +25123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.152042669 -0.376168264 +25126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.753894953 -0.376168264 +25128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.134744805 -0.376168264 +25129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.08864212 -0.376168264 +25130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.718534824 -0.376168264 +25131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.343672144 -0.376168264 +25127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.164914955 -0.376168264 +25132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.48430848 -0.376168264 +25133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.157573353 -0.376168264 +25134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.33756354 -0.376168264 +25135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.165883137 -0.376168264 +25136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.507001288 -0.376168264 +25137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.539147204 -0.376168264 +25138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.265118156 -0.376168264 +25140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.17131789 -0.376168264 +25139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.833378677 -0.376168264 +25142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.397225872 -0.376168264 +25141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.446150333 -0.376168264 +25143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.603626296 -0.376168264 +25144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.230553105 -0.376168264 +25146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.079492142 -0.376168264 +25145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.196457665 -0.376168264 +25147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.151455098 -0.376168264 +25148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.474400762 -0.376168264 +25150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.737482652 -0.376168264 +25149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.090668892 -0.376168264 +25151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.234553748 -0.376168264 +25154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.149119173 -0.376168264 +25155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.743684839 -0.376168264 +25153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.29230456 -0.376168264 +25152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.087613234 -0.376168264 +25156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.6408455 -0.376168264 +25158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.559464214 -0.376168264 +25159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.640066076 -0.376168264 +25160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.04619141 -0.376168264 +25157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.044210696 -0.376168264 +25161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.120208603 -0.376168264 +25162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.193199344 -0.376168264 +25163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.671285046 -0.376168264 +25164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.643293965 -0.376168264 +25165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.37483941 -0.376168264 +25168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.616609431 -0.376168264 +25167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.50323868 -0.376168264 +25169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.317394541 -0.376168264 +25166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.255062144 -0.376168264 +25170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.739429498 -0.376168264 +25171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.781516436 -0.376168264 +25173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.321518996 -0.376168264 +25172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.309124807 -0.376168264 +25174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.487940631 -0.376168264 +25176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.659922483 -0.376168264 +25177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.188896518 -0.376168264 +25178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.854898221 -0.376168264 +25175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.070250775 -0.376168264 +25179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.660597226 -0.376168264 +25182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.248604443 -0.376168264 +25180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.218025911 -0.376168264 +25183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.116865408 -0.376168264 +25181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.64836059 -0.376168264 +25184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.743089777 -0.376168264 +25185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.724196131 -0.376168264 +25186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.005933217 -0.376168264 +25187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.347006754 -0.376168264 +25188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.38427017 -0.376168264 +25189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.022458939 -0.376168264 +25190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.051990598 -0.376168264 +25192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.107377922 -0.376168264 +25193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.041338269 -0.376168264 +25191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.565951116 -0.376168264 +25194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.505940128 -0.376168264 +25195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.468997036 -0.376168264 +25196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.300568951 -0.376168264 +25197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.698674089 -0.376168264 +25198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.611182877 -0.376168264 +25199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.539115461 -0.376168264 +25200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.614873435 -0.376168264 +25201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.584581047 -0.376168264 +25202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.516072288 -0.376168264 +25203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.631741008 -0.376168264 +25204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.142589249 -0.376168264 +25205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.043623849 -0.376168264 +25206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.398849709 -0.376168264 +25207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.469812572 -0.376168264 +25208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.498367422 -0.376168264 +25210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.058888378 -0.376168264 +25209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.732036706 -0.376168264 +25211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.050856618 -0.376168264 +25212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.716021254 -0.376168264 +25213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.065708217 -0.376168264 +25214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.009806241 -0.376168264 +25215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.190478243 -0.376168264 +25216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.487868529 -0.376168264 +25217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.565634624 -0.376168264 +25218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.542958828 -0.376168264 +25219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.247517564 -0.376168264 +25220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.556634654 -0.376168264 +25222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.408978201 -0.376168264 +25223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.458743712 -0.376168264 +25221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.304862464 -0.376168264 +25224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.531920904 -0.376168264 +25227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.148971197 -0.376168264 +25225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.012082688 -0.376168264 +25228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.022344474 -0.376168264 +25229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.223423662 -0.376168264 +25231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.04564717 -0.376168264 +25230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.757523065 -0.376168264 +25232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.199227668 -0.376168264 +25226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.077482928 -0.376168264 +25233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.184496042 -0.376168264 +25234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.19267453 -0.376168264 +25236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.265019279 -0.376168264 +25235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.013613114 -0.376168264 +25237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.14922848 -0.376168264 +25238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.040527974 -0.376168264 +25239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.735153048 -0.376168264 +25240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.586808006 -0.376168264 +25241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.037758698 -0.376168264 +25242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.507404789 -0.376168264 +25243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.001823641 -0.376168264 +25245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.51668731 -0.376168264 +25246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.549610322 -0.376168264 +25244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.440823066 -0.376168264 +25247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.188566925 -0.376168264 +25250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.231391855 -0.376168264 +25249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.036896108 -0.376168264 +25251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.475541925 -0.376168264 +25252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.554001383 -0.376168264 +25254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.656397903 -0.376168264 +25248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.176623595 -0.376168264 +25253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.198769172 -0.376168264 +25255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.748813051 -0.376168264 +25256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.34574542 -0.376168264 +25257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.549413929 -0.376168264 +25259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.390077835 -0.376168264 +25258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.337839248 -0.376168264 +25262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.217144704 -0.376168264 +25260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.550588954 -0.376168264 +25261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.123985462 -0.376168264 +25263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.555789459 -0.376168264 +25264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.624250845 -0.376168264 +25265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.538430207 -0.376168264 +25266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.777305295 -0.376168264 +25268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.643790565 -0.376168264 +25267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.290317245 -0.376168264 +25269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.481772543 -0.376168264 +25270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.369633889 -0.376168264 +25271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.398237868 -0.376168264 +25272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.116749034 -0.376168264 +25273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.20066085 -0.376168264 +25274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.206953932 -0.376168264 +25275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.419037918 -0.376168264 +25276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.067678738 -0.376168264 +25277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.260500746 -0.376168264 +25279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.672358891 -0.376168264 +25278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.589833779 -0.376168264 +25280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.333145225 -0.376168264 +25282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.401598135 -0.376168264 +25281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.255617649 -0.376168264 +25283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.581408182 -0.376168264 +25284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.377229311 -0.376168264 +25285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.359534249 -0.376168264 +25286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.475595887 -0.376168264 +25287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.244060716 -0.376168264 +25288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.416651597 -0.376168264 +25289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.283116797 -0.376168264 +25290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.264679703 -0.376168264 +25292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.187842088 -0.376168264 +25291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.084716934 -0.376168264 +25293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.078018471 -0.376168264 +25294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.315678506 -0.376168264 +25295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.813024563 -0.376168264 +25298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.619335965 -0.376168264 +25296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.343030827 -0.376168264 +25297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.606912949 -0.376168264 +25300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.468782173 -0.376168264 +25299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.220791654 -0.376168264 +25301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.009571361 -0.376168264 +25302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.230358743 -0.376168264 +25303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.314471791 -0.376168264 +25304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.499569834 -0.376168264 +25305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.320533513 -0.376168264 +25306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.276578074 -0.376168264 +25308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.089378251 -0.376168264 +25307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.283372626 -0.376168264 +25309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.030733573 -0.376168264 +25310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.640070637 -0.376168264 +25312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.025094585 -0.376168264 +25314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.497831868 -0.376168264 +25311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.003264045 -0.376168264 +25313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.02772159 -0.376168264 +25315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.405216597 -0.376168264 +25316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.646301114 -0.376168264 +25317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.832539898 -0.376168264 +25318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.277830393 -0.376168264 +25320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.426398008 -0.376168264 +25319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.634473703 -0.376168264 +25321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.19784965 -0.376168264 +25323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.520754542 -0.376168264 +25322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.005623439 -0.376168264 +25325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.719893135 -0.376168264 +25324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.525662086 -0.376168264 +25326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.729361162 -0.376168264 +25327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.2206902 -0.376168264 +25328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.410647442 -0.376168264 +25330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.24820282 -0.376168264 +25332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.680977202 -0.376168264 +25331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.157592609 -0.376168264 +25333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.150932157 -0.376168264 +25329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.29303577 -0.376168264 +25334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.529741323 -0.376168264 +25335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.652905324 -0.376168264 +25336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.224172859 -0.376168264 +25337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.172903255 -0.376168264 +25338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.21836422 -0.376168264 +25339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.528181707 -0.376168264 +25340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.702508297 -0.376168264 +25341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.519568367 -0.376168264 +25342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.448594314 -0.376168264 +25343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.719418398 -0.376168264 +25344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.494882448 -0.376168264 +25345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.899600847 -0.376168264 +25346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.317431649 -0.376168264 +25347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.42722973 -0.376168264 +25348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.434831987 -0.376168264 +25350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.478453882 -0.376168264 +25351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.427679812 -0.376168264 +25352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.019378272 -0.376168264 +25353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.130383593 -0.376168264 +25354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.637583563 -0.376168264 +25355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.368582485 -0.376168264 +25349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.665491623 -0.376168264 +25356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.644216837 -0.376168264 +25357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.405317368 -0.376168264 +25358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.318904278 -0.376168264 +25360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.435466409 -0.376168264 +25361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.310054565 -0.376168264 +25359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.670366848 -0.376168264 +25362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.593628335 -0.376168264 +25363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.735450859 -0.376168264 +25364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.089767057 -0.376168264 +25365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.244163161 -0.376168264 +25366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.097971102 -0.376168264 +25367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.081434012 -0.376168264 +25368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.445041478 -0.376168264 +25369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.771378349 -0.376168264 +25370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.517776113 -0.376168264 +25371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.165161266 -0.376168264 +25372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.817251045 -0.376168264 +25373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.074990861 -0.376168264 +25375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.578059291 -0.376168264 +25377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.302150666 -0.376168264 +25374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.189985105 -0.376168264 +25376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.158707603 -0.376168264 +25378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.229927933 -0.376168264 +25380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.685757409 -0.376168264 +25379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.304565308 -0.376168264 +25382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.048006165 -0.376168264 +25384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.060778474 -0.376168264 +25383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.662057322 -0.376168264 +25385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.619746633 -0.376168264 +25381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.237708833 -0.376168264 +25386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.368995108 -0.376168264 +25387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.256488839 -0.376168264 +25389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.507103041 -0.376168264 +25388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.053631673 -0.376168264 +25390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.702453272 -0.376168264 +25391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.034729828 -0.376168264 +25392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.549117051 -0.376168264 +25393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.09680673 -0.376168264 +25394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.602262839 -0.376168264 +25395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.414818922 -0.376168264 +25396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.177356887 -0.376168264 +25399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.279778533 -0.376168264 +25400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.825999533 -0.376168264 +25398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.315503665 -0.376168264 +25401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.136475553 -0.376168264 +25397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.632582482 -0.376168264 +25402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.787055827 -0.376168264 +25404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.502592393 -0.376168264 +25403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.260676809 -0.376168264 +25406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.551117125 -0.376168264 +25407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.300966324 -0.376168264 +25408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.532950176 -0.376168264 +25405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.056955979 -0.376168264 +25409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.524735895 -0.376168264 +25410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.338136818 -0.376168264 +25412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.521048966 -0.376168264 +25411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.296788783 -0.376168264 +25414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.507073942 -0.376168264 +25415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.104510562 -0.376168264 +25416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.083714679 -0.376168264 +25413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.129070895 -0.376168264 +25419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.617474008 -0.376168264 +25420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.120209598 -0.376168264 +25418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.521357255 -0.376168264 +25417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.710006355 -0.376168264 +25421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.278554214 -0.376168264 +25422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.676138287 -0.376168264 +25423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.290902053 -0.376168264 +25424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.251532183 -0.376168264 +25427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.686423133 -0.376168264 +25428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.085000026 -0.376168264 +25426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.307134921 -0.376168264 +25429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.27399707 -0.376168264 +25430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.13201364 -0.376168264 +25425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.013690151 -0.376168264 +25432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.529466093 -0.376168264 +25431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.549318041 -0.376168264 +25433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.400291834 -0.376168264 +25437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.197335924 -0.376168264 +25435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.541260019 -0.376168264 +25438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.490588527 -0.376168264 +25436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.391257242 -0.376168264 +25434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.036686405 -0.376168264 +25440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.601153658 -0.376168264 +25439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.827351272 -0.376168264 +25441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.432303229 -0.376168264 +25443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.279790547 -0.376168264 +25442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.096862202 -0.376168264 +25444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.442529024 -0.376168264 +25445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.554348294 -0.376168264 +25446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.533265359 -0.376168264 +25447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.461432916 -0.376168264 +25448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.099751669 -0.376168264 +25449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.782835065 -0.376168264 +25450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.679894108 -0.376168264 +25451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.706392501 -0.376168264 +25453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.352778295 -0.376168264 +25452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.628335283 -0.376168264 +25455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.239560085 -0.376168264 +25456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.064329508 -0.376168264 +25457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.044220603 -0.376168264 +25458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.294553997 -0.376168264 +25459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.519928933 -0.376168264 +25461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.720069988 -0.376168264 +25460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.467889472 -0.376168264 +25454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.378389038 -0.376168264 +25462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.079312918 -0.376168264 +25463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.639744687 -0.376168264 +25465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.819755326 -0.376168264 +25464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.688602587 -0.376168264 +25466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.622036173 -0.376168264 +25468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.116914798 -0.376168264 +25469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.155178165 -0.376168264 +25467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.402418091 -0.376168264 +25470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.557030669 -0.376168264 +25471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.504941528 -0.376168264 +25472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.492936753 -0.376168264 +25473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.643650116 -0.376168264 +25474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.017735179 -0.376168264 +25475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.474442396 -0.376168264 +25477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.482992987 -0.376168264 +25478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.364576884 -0.376168264 +25481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.468738759 -0.376168264 +25476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.428065614 -0.376168264 +25479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.466880753 -0.376168264 +25480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.222232874 -0.376168264 +25482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.455873644 -0.376168264 +25483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.642640855 -0.376168264 +25485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.382454998 -0.376168264 +25484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.255220886 -0.376168264 +25486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.627207104 -0.376168264 +25488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.153780902 -0.376168264 +25489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.686081196 -0.376168264 +25487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.282898017 -0.376168264 +25490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.519499854 -0.376168264 +25491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.449423841 -0.376168264 +25492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.584948678 -0.376168264 +25494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.380447316 -0.376168264 +25493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.096349548 -0.376168264 +25496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.04433933 -0.376168264 +25495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.506925024 -0.376168264 +25499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.609000119 -0.376168264 +25498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.529664226 -0.376168264 +25497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.047304619 -0.376168264 +25500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.137505645 -0.376168264 +25502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.587904015 -0.376168264 +25504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.743874186 -0.376168264 +25501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.129710048 -0.376168264 +25503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.632705787 -0.376168264 +25505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.653063736 -0.376168264 +25506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.453186915 -0.376168264 +25507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.29451396 -0.376168264 +25508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.521564988 -0.376168264 +25510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.435938541 -0.376168264 +25511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.054355621 -0.376168264 +25512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.438781529 -0.376168264 +25509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.48026257 -0.376168264 +25513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.388469765 -0.376168264 +25514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.399325241 -0.376168264 +25515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.003423259 -0.376168264 +25516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.649042838 -0.376168264 +25517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.572583366 -0.376168264 +25518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.190430415 -0.376168264 +25519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.13837017 -0.376168264 +25520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.610538831 -0.376168264 +25521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.317131465 -0.376168264 +25522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.454069743 -0.376168264 +25523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.543914625 -0.376168264 +25524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.577564992 -0.376168264 +25525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.055832067 -0.376168264 +25526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.315172287 -0.376168264 +25527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.593652675 -0.376168264 +25530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.587959973 -0.376168264 +25528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.75935183 -0.376168264 +25529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.765083898 -0.376168264 +25531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.50063969 -0.376168264 +25533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.353972365 -0.376168264 +25535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.045620732 -0.376168264 +25532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.035439388 -0.376168264 +25534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.636376959 -0.376168264 +25536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.66563267 -0.376168264 +25538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.098290886 -0.376168264 +25539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.023853573 -0.376168264 +25541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.063574056 -0.376168264 +25540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.465224048 -0.376168264 +25537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.673767486 -0.376168264 +25543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.543595725 -0.376168264 +25542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.402696685 -0.376168264 +25544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.373865109 -0.376168264 +25546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.136014644 -0.376168264 +25545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.738118626 -0.376168264 +25548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.782859058 -0.376168264 +25547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.768638003 -0.376168264 +25549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.572936712 -0.376168264 +25551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.847775604 -0.376168264 +25550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.101585697 -0.376168264 +25552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.786428066 -0.376168264 +25553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.453838892 -0.376168264 +25556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.500507764 -0.376168264 +25554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.022541755 -0.376168264 +25558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.421455271 -0.376168264 +25555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.061417652 -0.376168264 +25557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.434120894 -0.376168264 +25559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.69768248 -0.376168264 +25560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.168605442 -0.376168264 +25561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.615899899 -0.376168264 +25562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.74442609 -0.376168264 +25563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.042029163 -0.376168264 +25565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.367060696 -0.376168264 +25564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.416246426 -0.376168264 +25567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.766093705 -0.376168264 +25568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.317070944 -0.376168264 +25569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.046736101 -0.376168264 +25570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.781466643 -0.376168264 +25566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.742685537 -0.376168264 +25573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.170656077 -0.376168264 +25571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.450942241 -0.376168264 +25572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.796028191 -0.376168264 +25575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.015871576 -0.376168264 +25574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.851876162 -0.376168264 +25576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.107196297 -0.376168264 +25577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.329635571 -0.376168264 +25578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.631228825 -0.376168264 +25579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.502489713 -0.376168264 +25580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.673349161 -0.376168264 +25581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.320453258 -0.376168264 +25582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.043780541 -0.376168264 +25583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.021260014 -0.376168264 +25584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.347787727 -0.376168264 +25585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.569912894 -0.376168264 +25588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.402949042 -0.376168264 +25587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.49454966 -0.376168264 +25589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.098482288 -0.376168264 +25586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.074967249 -0.376168264 +25591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.776983665 -0.376168264 +25592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.030261036 -0.376168264 +25590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.547879096 -0.376168264 +25593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.711765733 -0.376168264 +25594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.330795232 -0.376168264 +25598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.548028421 -0.376168264 +25595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.129740748 -0.376168264 +25597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.733154654 -0.376168264 +25599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.095568643 -0.376168264 +25600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.529482392 -0.376168264 +25596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.296663189 -0.376168264 +25601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.681278947 -0.376168264 +25602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.689531028 -0.376168264 +25604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.254469166 -0.376168264 +25603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.567103683 -0.376168264 +25606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.09472069 -0.376168264 +25605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.079296791 -0.376168264 +25609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.271513195 -0.376168264 +25608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.787401224 -0.376168264 +25607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.225699065 -0.376168264 +25610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.824816809 -0.376168264 +25611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.199142937 -0.376168264 +25612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.017907879 -0.376168264 +25613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.338053365 -0.376168264 +25614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.211362891 -0.376168264 +25616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.206745193 -0.376168264 +25615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.749303043 -0.376168264 +25617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.704867628 -0.376168264 +25618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.098061915 -0.376168264 +25619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.727535965 -0.376168264 +25620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.499182738 -0.376168264 +25621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.177419716 -0.376168264 +25623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.085660005 -0.376168264 +25622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.167404593 -0.376168264 +25624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.227147205 -0.376168264 +25625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.001065826 -0.376168264 +25626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.777029742 -0.376168264 +25627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.857875184 -0.376168264 +25628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.292789615 -0.376168264 +25629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.477388666 -0.376168264 +25630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.165516924 -0.376168264 +25632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.097177889 -0.376168264 +25631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.11776298 -0.376168264 +25633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.747937576 -0.376168264 +25634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.148077187 -0.376168264 +25635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.31932404 -0.376168264 +25636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.076148084 -0.376168264 +25637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.496146598 -0.376168264 +25639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.695782622 -0.376168264 +25641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.109356328 -0.376168264 +25643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.795782113 -0.376168264 +25642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.689849061 -0.376168264 +25640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.213001806 -0.376168264 +25644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.027504759 -0.376168264 +25638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.138816182 -0.376168264 +25645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.422649583 -0.376168264 +25646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.335469532 -0.376168264 +25647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.455393362 -0.376168264 +25649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.40563856 -0.376168264 +25648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.083578922 -0.376168264 +25652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.239393486 -0.376168264 +25651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.194558412 -0.376168264 +25650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.785529206 -0.376168264 +25653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.752977692 -0.376168264 +25655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.37690992 -0.376168264 +25654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.499214258 -0.376168264 +25659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.499008312 -0.376168264 +25656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.200502348 -0.376168264 +25657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.276686428 -0.376168264 +25660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.66298371 -0.376168264 +25661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.06872 -0.376168264 +25658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.012718045 -0.376168264 +25662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.753549972 -0.376168264 +25663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.623971612 -0.376168264 +25665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.709238838 -0.376168264 +25664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.691572727 -0.376168264 +25666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.079682038 -0.376168264 +25667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.029573741 -0.376168264 +25668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.629597479 -0.376168264 +25669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.389875251 -0.376168264 +25671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.0672529 -0.376168264 +25670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.753785155 -0.376168264 +25673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.116237162 -0.376168264 +25672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.555749276 -0.376168264 +25674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.511061117 -0.376168264 +25675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.240788856 -0.376168264 +25676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.518970718 -0.376168264 +25677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.681590283 -0.376168264 +25678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.504846979 -0.376168264 +25680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.605714726 -0.376168264 +25681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.133091173 -0.376168264 +25679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.462324881 -0.376168264 +25682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.208663126 -0.376168264 +25684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.644518933 -0.376168264 +25683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.504216094 -0.376168264 +25685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.730545095 -0.376168264 +25686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.13702508 -0.376168264 +25688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.412293773 -0.376168264 +25687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.396420901 -0.376168264 +25689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.504230623 -0.376168264 +25690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.453221671 -0.376168264 +25691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.214086887 -0.376168264 +25693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.271809958 -0.376168264 +25694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.045303492 -0.376168264 +25692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.791820781 -0.376168264 +25696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.307430682 -0.376168264 +25695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.751051578 -0.376168264 +25697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.382212721 -0.376168264 +25698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.200985287 -0.376168264 +25699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.490185079 -0.376168264 +25701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.62887082 -0.376168264 +25700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.17734584 -0.376168264 +25704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.073182829 -0.376168264 +25705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.116854146 -0.376168264 +25703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.229523686 -0.376168264 +25702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 9.20E-04 -0.376168264 +25706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.130431035 -0.376168264 +25707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.036636324 -0.376168264 +25708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.663273289 -0.376168264 +25709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.799858355 -0.376168264 +25710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.560366125 -0.376168264 +25711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.363175066 -0.376168264 +25712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.314578686 -0.376168264 +25714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.110226253 -0.376168264 +25713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.139547882 -0.376168264 +25715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.27049093 -0.376168264 +25716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.103553611 -0.376168264 +25717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.311453316 -0.376168264 +25718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.0671089 -0.376168264 +25719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.228681387 -0.376168264 +25720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.061690615 -0.376168264 +25721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.672312511 -0.376168264 +25723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.564715464 -0.376168264 +25722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.290045816 -0.376168264 +25724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.638707512 -0.376168264 +25726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.157931475 -0.376168264 +25725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.213185148 -0.376168264 +25728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.128010367 -0.376168264 +25727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.011968888 -0.376168264 +25729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.079263196 -0.376168264 +25731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.637648349 -0.376168264 +25730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.059759703 -0.376168264 +25732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.33345152 -0.376168264 +25733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.276588261 -0.376168264 +25734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.824647299 -0.376168264 +25735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.469130369 -0.376168264 +25736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.158183084 -0.376168264 +25737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.119173994 -0.376168264 +25739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.049596441 -0.376168264 +25740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.169330456 -0.376168264 +25741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.476973962 -0.376168264 +25743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.330466708 -0.376168264 +25738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.75276287 -0.376168264 +25744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.189794671 -0.376168264 +25742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.343896454 -0.376168264 +25745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.143792137 -0.376168264 +25746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.519991385 -0.376168264 +25747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.412669601 -0.376168264 +25748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.079804376 -0.376168264 +25749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.538748775 -0.376168264 +25750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.344069268 -0.376168264 +25752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.284370401 -0.376168264 +25751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.668006776 -0.376168264 +25754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.266564858 -0.376168264 +25755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.508949238 -0.376168264 +25756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.318533936 -0.376168264 +25757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.265811332 -0.376168264 +25753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.193402357 -0.376168264 +25759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.685872353 -0.376168264 +25760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.035890775 -0.376168264 +25762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.775921803 -0.376168264 +25761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.505522462 -0.376168264 +25764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.663620614 -0.376168264 +25763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.749080088 -0.376168264 +25758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.443523776 -0.376168264 +25765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.350399601 -0.376168264 +25767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.049796796 -0.376168264 +25766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.771451065 -0.376168264 +25769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.534244786 -0.376168264 +25770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.257215372 -0.376168264 +25768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.766952198 -0.376168264 +25772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.300534324 -0.376168264 +25771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.420693561 -0.376168264 +25773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.61473042 -0.376168264 +25774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.296229743 -0.376168264 +25775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.583636683 -0.376168264 +25776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.018645623 -0.376168264 +25777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.157149654 -0.376168264 +25778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.805297724 -0.376168264 +25780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.036668626 -0.376168264 +25781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.033392847 -0.376168264 +25779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.103735981 -0.376168264 +25782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.339114851 -0.376168264 +25783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.608982193 -0.376168264 +25786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.100095059 -0.376168264 +25785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.273838398 -0.376168264 +25784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.10208261 -0.376168264 +25788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.018361788 -0.376168264 +25787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.085820107 -0.376168264 +25789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.158467795 -0.376168264 +25791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.640469271 -0.376168264 +25790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.660162856 -0.376168264 +25792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.626079291 -0.376168264 +25793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.05476849 -0.376168264 +25794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.511559494 -0.376168264 +25796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.175772729 -0.376168264 +25795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.053808774 -0.376168264 +25799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.157277594 -0.376168264 +25798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.315524445 -0.376168264 +25800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.091428012 -0.376168264 +25801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.057298943 -0.376168264 +25797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.184616213 -0.376168264 +25803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.793708769 -0.376168264 +25802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.144958802 -0.376168264 +25804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.286472766 -0.376168264 +25806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.772148656 -0.376168264 +25808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.160315137 -0.376168264 +25807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.455971931 -0.376168264 +25809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.248289732 -0.376168264 +25805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.24568939 -0.376168264 +25811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.457550085 -0.376168264 +25810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.371339269 -0.376168264 +25812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.196505576 -0.376168264 +25813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.646060742 -0.376168264 +25814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.077063694 -0.376168264 +25817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.410726231 -0.376168264 +25815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.453164832 -0.376168264 +25818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.608933509 -0.376168264 +25819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.339687073 -0.376168264 +25816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.835272549 -0.376168264 +25820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.721775636 -0.376168264 +25821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.397335894 -0.376168264 +25822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.005668956 -0.376168264 +25824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.849938596 -0.376168264 +25825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.687646827 -0.376168264 +25823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.179165644 -0.376168264 +25827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.344651312 -0.376168264 +25826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.478257077 -0.376168264 +25828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.604600612 -0.376168264 +25829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.549072514 -0.376168264 +25830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.358826551 -0.376168264 +25833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.173125378 -0.376168264 +25831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.25907872 -0.376168264 +25832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.216868468 -0.376168264 +25835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.013282856 -0.376168264 +25836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.042792356 -0.376168264 +25838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.059045734 -0.376168264 +25837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.237273604 -0.376168264 +25834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.46822529 -0.376168264 +25839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.450411013 -0.376168264 +25840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.137212103 -0.376168264 +25841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.283854926 -0.376168264 +25842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.436130522 -0.376168264 +25843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.742654153 -0.376168264 +25844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.241745449 -0.376168264 +25845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.71614845 -0.376168264 +25847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.259289907 -0.376168264 +25846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.581082494 -0.376168264 +25848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.528563849 -0.376168264 +25849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.032896026 -0.376168264 +25850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.024639629 -0.376168264 +25851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.538965609 -0.376168264 +25853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.050696175 -0.376168264 +25852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.412696631 -0.376168264 +25854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.756607416 -0.376168264 +25856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.606086976 -0.376168264 +25857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.245016828 -0.376168264 +25858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.702289198 -0.376168264 +25855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.578338514 -0.376168264 +25859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.101525418 -0.376168264 +25861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.657154632 -0.376168264 +25863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.701178947 -0.376168264 +25860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.168800228 -0.376168264 +25864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.791147485 -0.376168264 +25862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.114803075 -0.376168264 +25865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.387043195 -0.376168264 +25867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.573933523 -0.376168264 +25866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.774198157 -0.376168264 +25868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.599977615 -0.376168264 +25869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.036951654 -0.376168264 +25870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.025256006 -0.376168264 +25871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.492021167 -0.376168264 +25872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.297720797 -0.376168264 +25873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.274888837 -0.376168264 +25874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.059694115 -0.376168264 +25876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.009543907 -0.376168264 +25877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.310622852 -0.376168264 +25878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.230381473 -0.376168264 +25879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.332020247 -0.376168264 +25880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.116427718 -0.376168264 +25875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.470617227 -0.376168264 +25882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.518839317 -0.376168264 +25883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.568437783 -0.376168264 +25881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.520370216 -0.376168264 +25884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.629284203 -0.376168264 +25885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.636252779 -0.376168264 +25887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.015626763 -0.376168264 +25888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.574623793 -0.376168264 +25886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.729909031 -0.376168264 +25889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.054506409 -0.376168264 +25890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.074380114 -0.376168264 +25892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.513607551 -0.376168264 +25891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.309991976 -0.376168264 +25893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.423023046 -0.376168264 +25894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.082070311 -0.376168264 +25896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.345996254 -0.376168264 +25895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.753867854 -0.376168264 +25897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.059443248 -0.376168264 +25898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.443177136 -0.376168264 +25899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.286696557 -0.376168264 +25900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.048596165 -0.376168264 +25901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.297008172 -0.376168264 +25902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.118195298 -0.376168264 +25903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.138024559 -0.376168264 +25906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.170408981 -0.376168264 +25905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.050850525 -0.376168264 +25907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.817207094 -0.376168264 +25904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.514300286 -0.376168264 +25909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.531137667 -0.376168264 +25910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.698134707 -0.376168264 +25908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.605622501 -0.376168264 +25911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.514300814 -0.376168264 +25912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.064151905 -0.376168264 +25914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.444907623 -0.376168264 +25916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.579423782 -0.376168264 +25913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.813121859 -0.376168264 +25918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.337430707 -0.376168264 +25919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.74648249 -0.376168264 +25915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.800623405 -0.376168264 +25917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.549517971 -0.376168264 +25920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.136205878 -0.376168264 +25921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.229531017 -0.376168264 +25922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.398587192 -0.376168264 +25923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.029979581 -0.376168264 +25924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.634695698 -0.376168264 +25925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.65625642 -0.376168264 +25927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.236134986 -0.376168264 +25926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.196258402 -0.376168264 +25928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.214720464 -0.376168264 +25929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.103936536 -0.376168264 +25930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.069882382 -0.376168264 +25931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.211950786 -0.376168264 +25932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.63310909 -0.376168264 +25933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.009497407 -0.376168264 +25936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.034288687 -0.376168264 +25937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.692071145 -0.376168264 +25934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.211587128 -0.376168264 +25935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.405275655 -0.376168264 +25938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.62778968 -0.376168264 +25939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.057859626 -0.376168264 +25940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.128161522 -0.376168264 +25941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.291601808 -0.376168264 +25943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.069931921 -0.376168264 +25945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.617253333 -0.376168264 +25942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.495418285 -0.376168264 +25944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.598350143 -0.376168264 +25947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.369359535 -0.376168264 +25949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.106565007 -0.376168264 +25946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.580147658 -0.376168264 +25948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.203161099 -0.376168264 +25950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.613980848 -0.376168264 +25951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.687028082 -0.376168264 +25952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.847599565 -0.376168264 +25953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.715480151 -0.376168264 +25955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.835564808 -0.376168264 +25954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.09764282 -0.376168264 +25956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.381333709 -0.376168264 +25957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.041300136 -0.376168264 +25958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.351018402 -0.376168264 +25959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.658772259 -0.376168264 +25960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.238258485 -0.376168264 +25961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.384411278 -0.376168264 +25963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.515682761 -0.376168264 +25962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.530983246 -0.376168264 +25966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.353072156 -0.376168264 +25967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.212897048 -0.376168264 +25968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.854930407 -0.376168264 +25965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.306230339 -0.376168264 +25969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.22766337 -0.376168264 +25964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.181167612 -0.376168264 +25971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.565944461 -0.376168264 +25970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.01061706 -0.376168264 +25972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.695712258 -0.376168264 +25974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.686212983 -0.376168264 +25973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.535693344 -0.376168264 +25975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.031078225 -0.376168264 +25978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.042088721 -0.376168264 +25979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 0.072929697 -0.376168264 +25977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.436527718 -0.376168264 +25976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.17980516 -0.376168264 +25980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.478210732 -0.376168264 +25982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.666871251 -0.376168264 +25983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.074173118 -0.376168264 +25981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.446922827 -0.376168264 +25985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.826540826 -0.376168264 +25984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.55841535 -0.376168264 +25987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.452712935 -0.376168264 +25988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.445023879 -0.376168264 +25986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.016188272 -0.376168264 +25989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.285588317 -0.376168264 +25991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.137228525 -0.376168264 +25990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.447580013 -0.376168264 +25993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.5198365 -0.376168264 +25992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.214812787 -0.376168264 +25994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.742770992 -0.376168264 +25995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.35986011 -0.376168264 +25996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.131035553 -0.376168264 +25997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.234153639 -0.376168264 +25998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.078742024 -0.376168264 +25999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.62195454 -0.376168264 +26000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.25 10 1 -0.285071511 -0.376168264 +26001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.369119319 -0.381439049 +26002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.13440747 -0.381439049 +26003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.239940528 -0.381439049 +26005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.154011973 -0.381439049 +26006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.091561608 -0.381439049 +26007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.512499116 -0.381439049 +26009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.538176837 -0.381439049 +26008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.135339285 -0.381439049 +26010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.411730322 -0.381439049 +26004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.30458448 -0.381439049 +26011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.672185363 -0.381439049 +26013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.503500855 -0.381439049 +26012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.268220134 -0.381439049 +26014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.148882077 -0.381439049 +26016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.525859224 -0.381439049 +26015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.567899824 -0.381439049 +26017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.056298401 -0.381439049 +26018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.300459777 -0.381439049 +26019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.686121652 -0.381439049 +26021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.417119031 -0.381439049 +26022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.249744 -0.381439049 +26020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.748785575 -0.381439049 +26023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.668094373 -0.381439049 +26024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.387922897 -0.381439049 +26027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.008324675 -0.381439049 +26028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.709237081 -0.381439049 +26025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.336886029 -0.381439049 +26030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.735641356 -0.381439049 +26026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.091012391 -0.381439049 +26032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.225536029 -0.381439049 +26031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.584010007 -0.381439049 +26029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.588669078 -0.381439049 +26033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.385701385 -0.381439049 +26035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.006335314 -0.381439049 +26034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.744256947 -0.381439049 +26036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.536880002 -0.381439049 +26039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.527041955 -0.381439049 +26037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.045319793 -0.381439049 +26040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.560197074 -0.381439049 +26041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.578584056 -0.381439049 +26042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -6.49E-04 -0.381439049 +26044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.714339014 -0.381439049 +26038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.497203564 -0.381439049 +26043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.087798205 -0.381439049 +26047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.573532595 -0.381439049 +26045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.006114783 -0.381439049 +26046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.710444455 -0.381439049 +26048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.053385217 -0.381439049 +26051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.080234088 -0.381439049 +26050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.50202546 -0.381439049 +26052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.07208012 -0.381439049 +26049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.320022423 -0.381439049 +26054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.893674927 -0.381439049 +26056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.106325814 -0.381439049 +26055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.400977904 -0.381439049 +26057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.432213274 -0.381439049 +26053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.598350163 -0.381439049 +26059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.31965445 -0.381439049 +26060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.392512027 -0.381439049 +26058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.773914641 -0.381439049 +26061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.083780385 -0.381439049 +26062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.513764946 -0.381439049 +26063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.146326419 -0.381439049 +26065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.00210763 -0.381439049 +26066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.530153489 -0.381439049 +26067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.543824175 -0.381439049 +26068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.547295571 -0.381439049 +26069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.349626656 -0.381439049 +26064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.030101035 -0.381439049 +26070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.334606371 -0.381439049 +26071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.524219833 -0.381439049 +26073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.378337487 -0.381439049 +26075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.024064823 -0.381439049 +26076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.777893385 -0.381439049 +26072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.740862206 -0.381439049 +26074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.586053975 -0.381439049 +26077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.065625252 -0.381439049 +26078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.046700757 -0.381439049 +26079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.631092086 -0.381439049 +26080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.779563473 -0.381439049 +26081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.11191769 -0.381439049 +26082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.008232915 -0.381439049 +26083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.828303693 -0.381439049 +26084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.663791185 -0.381439049 +26085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.066563613 -0.381439049 +26087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.129806029 -0.381439049 +26086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.450868707 -0.381439049 +26089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.490693779 -0.381439049 +26088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.735668929 -0.381439049 +26090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.646446511 -0.381439049 +26092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.202118071 -0.381439049 +26091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.392809574 -0.381439049 +26093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.069531231 -0.381439049 +26095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.432342077 -0.381439049 +26094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.437248649 -0.381439049 +26097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.627651407 -0.381439049 +26096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.329959717 -0.381439049 +26098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.083097469 -0.381439049 +26100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.016526153 -0.381439049 +26099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.204823635 -0.381439049 +26101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.710946431 -0.381439049 +26102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.033721298 -0.381439049 +26103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.809375787 -0.381439049 +26104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.050978846 -0.381439049 +26105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.518938099 -0.381439049 +26106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.10054618 -0.381439049 +26107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.053336052 -0.381439049 +26108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.577467894 -0.381439049 +26110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.451389647 -0.381439049 +26111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.26413182 -0.381439049 +26109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.0909021 -0.381439049 +26112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.028959137 -0.381439049 +26114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.507678715 -0.381439049 +26113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.477258835 -0.381439049 +26115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.36161402 -0.381439049 +26116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.426869047 -0.381439049 +26117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.434956274 -0.381439049 +26118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.254564419 -0.381439049 +26119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.179394458 -0.381439049 +26120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.579909726 -0.381439049 +26121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.25516421 -0.381439049 +26122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.325832442 -0.381439049 +26123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.602983272 -0.381439049 +26124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.373260797 -0.381439049 +26126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.406005691 -0.381439049 +26128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.118845965 -0.381439049 +26125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.010094566 -0.381439049 +26129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.672972889 -0.381439049 +26127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.203604673 -0.381439049 +26130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.576876527 -0.381439049 +26132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.462081708 -0.381439049 +26131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.356097337 -0.381439049 +26134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.253688302 -0.381439049 +26136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.490707662 -0.381439049 +26135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.012542996 -0.381439049 +26133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.009340738 -0.381439049 +26137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.41378089 -0.381439049 +26138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.250125263 -0.381439049 +26139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.429942621 -0.381439049 +26140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.322382069 -0.381439049 +26144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.29920831 -0.381439049 +26143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.670684823 -0.381439049 +26141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.145055451 -0.381439049 +26146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.406492233 -0.381439049 +26142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.110930946 -0.381439049 +26147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.828302437 -0.381439049 +26148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.507438233 -0.381439049 +26145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.188042483 -0.381439049 +26150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.138150382 -0.381439049 +26149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.436761746 -0.381439049 +26152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.573417968 -0.381439049 +26151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.466349155 -0.381439049 +26153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.320755817 -0.381439049 +26154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.476405034 -0.381439049 +26155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.41579396 -0.381439049 +26156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.847315968 -0.381439049 +26158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.0966423 -0.381439049 +26159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.235984225 -0.381439049 +26160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.228919576 -0.381439049 +26157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.240580145 -0.381439049 +26161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.101800794 -0.381439049 +26163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.112204192 -0.381439049 +26162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.697846862 -0.381439049 +26164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.709473718 -0.381439049 +26165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.813605414 -0.381439049 +26166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.149859628 -0.381439049 +26168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.344250205 -0.381439049 +26167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.614757684 -0.381439049 +26169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.522183173 -0.381439049 +26171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.238389441 -0.381439049 +26172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.24941081 -0.381439049 +26170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.258905662 -0.381439049 +26174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.029933512 -0.381439049 +26175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.141251648 -0.381439049 +26176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.026782768 -0.381439049 +26173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.448991089 -0.381439049 +26177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.349279211 -0.381439049 +26178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.133043343 -0.381439049 +26179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.421264377 -0.381439049 +26180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.708644752 -0.381439049 +26181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.228886279 -0.381439049 +26182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.646322122 -0.381439049 +26183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.683005244 -0.381439049 +26184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.28402462 -0.381439049 +26185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.703830972 -0.381439049 +26186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.728741089 -0.381439049 +26188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.702773542 -0.381439049 +26187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.045805904 -0.381439049 +26189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.577742617 -0.381439049 +26190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.31066213 -0.381439049 +26191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.324365653 -0.381439049 +26193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.398552162 -0.381439049 +26194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.032125239 -0.381439049 +26196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.06083853 -0.381439049 +26192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.050844096 -0.381439049 +26195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.444253737 -0.381439049 +26197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.06240552 -0.381439049 +26198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.515698999 -0.381439049 +26199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.513732303 -0.381439049 +26200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.236128554 -0.381439049 +26201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.83884931 -0.381439049 +26202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.135021317 -0.381439049 +26204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.678359539 -0.381439049 +26206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.235366738 -0.381439049 +26205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.780338367 -0.381439049 +26207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.439930933 -0.381439049 +26203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.728674673 -0.381439049 +26208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.104400657 -0.381439049 +26210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.733677433 -0.381439049 +26209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.435549011 -0.381439049 +26212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.050994011 -0.381439049 +26213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.760406949 -0.381439049 +26214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.372172945 -0.381439049 +26211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.795851087 -0.381439049 +26215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.634116273 -0.381439049 +26216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.4433401 -0.381439049 +26217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.685217167 -0.381439049 +26219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.201958091 -0.381439049 +26218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.160337733 -0.381439049 +26220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.082282064 -0.381439049 +26221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.699056272 -0.381439049 +26222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.068592125 -0.381439049 +26224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.212285595 -0.381439049 +26225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.108287568 -0.381439049 +26223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.405840041 -0.381439049 +26226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.826035611 -0.381439049 +26227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.109590285 -0.381439049 +26228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.505067385 -0.381439049 +26229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.159761928 -0.381439049 +26230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.596691455 -0.381439049 +26231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.568466483 -0.381439049 +26232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.145233336 -0.381439049 +26236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.66120361 -0.381439049 +26234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.200718479 -0.381439049 +26235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.009041769 -0.381439049 +26233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.340761432 -0.381439049 +26237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.314235352 -0.381439049 +26238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.051938094 -0.381439049 +26240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.428480205 -0.381439049 +26239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.049896294 -0.381439049 +26241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.124836071 -0.381439049 +26244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.003880413 -0.381439049 +26242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.023235414 -0.381439049 +26246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.359597721 -0.381439049 +26245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.130446096 -0.381439049 +26243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.7250993 -0.381439049 +26247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.368724981 -0.381439049 +26249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.383819767 -0.381439049 +26248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.009891065 -0.381439049 +26250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.511868273 -0.381439049 +26251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.371006631 -0.381439049 +26252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.014085756 -0.381439049 +26253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.668885157 -0.381439049 +26255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.73978715 -0.381439049 +26256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.003381926 -0.381439049 +26254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.270348407 -0.381439049 +26258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.4451169 -0.381439049 +26259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.610553204 -0.381439049 +26257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.592288746 -0.381439049 +26260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.636351013 -0.381439049 +26261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.052136169 -0.381439049 +26262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.32241751 -0.381439049 +26263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.615435599 -0.381439049 +26264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.705404172 -0.381439049 +26265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.699234603 -0.381439049 +26266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.275713596 -0.381439049 +26267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.737979175 -0.381439049 +26268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.753657456 -0.381439049 +26269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.27601433 -0.381439049 +26270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.82883674 -0.381439049 +26271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.053895423 -0.381439049 +26273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.722097491 -0.381439049 +26272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.053455709 -0.381439049 +26275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.753908282 -0.381439049 +26274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.661411921 -0.381439049 +26276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.071644404 -0.381439049 +26277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.266665936 -0.381439049 +26279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.096362302 -0.381439049 +26280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.084283542 -0.381439049 +26278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.20470595 -0.381439049 +26281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.428225456 -0.381439049 +26282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.683012026 -0.381439049 +26283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.598704861 -0.381439049 +26284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.425389476 -0.381439049 +26287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.762712636 -0.381439049 +26286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.16074628 -0.381439049 +26288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.583105367 -0.381439049 +26285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.674346935 -0.381439049 +26289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.535767028 -0.381439049 +26290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.589896 -0.381439049 +26291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.008537438 -0.381439049 +26296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.543612597 -0.381439049 +26295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.481067161 -0.381439049 +26293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.776157366 -0.381439049 +26294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.602377084 -0.381439049 +26292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.045366562 -0.381439049 +26299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.743411471 -0.381439049 +26302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.167323555 -0.381439049 +26300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.674719736 -0.381439049 +26298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.292979714 -0.381439049 +26303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.347014172 -0.381439049 +26297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.762220791 -0.381439049 +26304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.153890581 -0.381439049 +26301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.666995963 -0.381439049 +26305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.587176258 -0.381439049 +26307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.612998176 -0.381439049 +26308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.680943896 -0.381439049 +26310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.359869747 -0.381439049 +26306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.317870234 -0.381439049 +26312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.214647942 -0.381439049 +26311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.847022601 -0.381439049 +26309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.167642025 -0.381439049 +26313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.201115595 -0.381439049 +26314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.049625546 -0.381439049 +26315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.749485381 -0.381439049 +26317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.651049771 -0.381439049 +26316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.700815422 -0.381439049 +26319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.7362385 -0.381439049 +26318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.307464835 -0.381439049 +26321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.770114266 -0.381439049 +26322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.564083585 -0.381439049 +26325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.094682277 -0.381439049 +26320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.189279957 -0.381439049 +26324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.168139282 -0.381439049 +26326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.471043041 -0.381439049 +26323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.550131515 -0.381439049 +26327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.272086014 -0.381439049 +26328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.773203135 -0.381439049 +26329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.460534744 -0.381439049 +26330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.638266225 -0.381439049 +26331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.193910836 -0.381439049 +26334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.710685865 -0.381439049 +26333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.754746267 -0.381439049 +26335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.110264952 -0.381439049 +26332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.3204509 -0.381439049 +26336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.07005338 -0.381439049 +26337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.669695121 -0.381439049 +26338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.528271613 -0.381439049 +26341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.007844399 -0.381439049 +26340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.095590273 -0.381439049 +26342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.148826483 -0.381439049 +26343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.816782225 -0.381439049 +26339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.492541548 -0.381439049 +26345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.28554036 -0.381439049 +26344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.044945611 -0.381439049 +26346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.056766512 -0.381439049 +26347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.677150865 -0.381439049 +26349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.222634906 -0.381439049 +26350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.231486398 -0.381439049 +26348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.524010921 -0.381439049 +26352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.646206618 -0.381439049 +26354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.028347987 -0.381439049 +26351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.124709653 -0.381439049 +26353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.491094657 -0.381439049 +26356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.361895705 -0.381439049 +26357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.755566702 -0.381439049 +26355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.499135505 -0.381439049 +26358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.250253066 -0.381439049 +26359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.027558395 -0.381439049 +26360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.461414792 -0.381439049 +26362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.566187641 -0.381439049 +26363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.556214419 -0.381439049 +26364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.604888875 -0.381439049 +26361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.283096975 -0.381439049 +26365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.162456958 -0.381439049 +26366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.258625179 -0.381439049 +26367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.131225318 -0.381439049 +26368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.356050159 -0.381439049 +26369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.770086447 -0.381439049 +26370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.750291081 -0.381439049 +26371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.675658766 -0.381439049 +26373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.247793817 -0.381439049 +26372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.720714666 -0.381439049 +26374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.336725496 -0.381439049 +26376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.710920222 -0.381439049 +26375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.203081292 -0.381439049 +26377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.184159335 -0.381439049 +26378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.660272843 -0.381439049 +26379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.169255609 -0.381439049 +26380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.124663282 -0.381439049 +26382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.33771905 -0.381439049 +26384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.244693114 -0.381439049 +26383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.093151442 -0.381439049 +26381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.632933947 -0.381439049 +26385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.048124618 -0.381439049 +26386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.333437716 -0.381439049 +26387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.764231582 -0.381439049 +26388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.199827622 -0.381439049 +26390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.034990076 -0.381439049 +26389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.08780215 -0.381439049 +26391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.133664351 -0.381439049 +26393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.123441477 -0.381439049 +26394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.149874894 -0.381439049 +26392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.755120772 -0.381439049 +26395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.354714723 -0.381439049 +26396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.411108182 -0.381439049 +26398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.631305263 -0.381439049 +26397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.04900511 -0.381439049 +26401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.316727169 -0.381439049 +26400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.151799164 -0.381439049 +26399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.547494731 -0.381439049 +26403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.754988272 -0.381439049 +26404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.774511869 -0.381439049 +26402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.297210294 -0.381439049 +26406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.093441786 -0.381439049 +26407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.134113219 -0.381439049 +26405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.289588662 -0.381439049 +26408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.168949279 -0.381439049 +26409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.166584564 -0.381439049 +26410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.505619097 -0.381439049 +26411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.168467283 -0.381439049 +26412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.485930953 -0.381439049 +26413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.35721849 -0.381439049 +26417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.686613833 -0.381439049 +26415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.551615234 -0.381439049 +26416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.400319566 -0.381439049 +26414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.786095994 -0.381439049 +26419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.067940206 -0.381439049 +26418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.375215632 -0.381439049 +26421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.379761966 -0.381439049 +26423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.659276528 -0.381439049 +26422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.637168868 -0.381439049 +26425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.02541197 -0.381439049 +26424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.274763324 -0.381439049 +26420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.660791503 -0.381439049 +26426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.775638515 -0.381439049 +26427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.477723594 -0.381439049 +26429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.474986311 -0.381439049 +26430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.656669391 -0.381439049 +26431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.682219837 -0.381439049 +26432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.867159226 -0.381439049 +26428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.435414961 -0.381439049 +26433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.70820978 -0.381439049 +26434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.224535946 -0.381439049 +26435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.232233612 -0.381439049 +26436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.261944723 -0.381439049 +26438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.201382946 -0.381439049 +26440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.586006251 -0.381439049 +26439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.632309741 -0.381439049 +26437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.635620842 -0.381439049 +26441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.306280544 -0.381439049 +26442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.394395927 -0.381439049 +26443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.676781223 -0.381439049 +26447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.638749163 -0.381439049 +26445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.482660045 -0.381439049 +26448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.765601015 -0.381439049 +26446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.084524117 -0.381439049 +26444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.244255512 -0.381439049 +26449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.107464151 -0.381439049 +26451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.280008477 -0.381439049 +26450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.66841785 -0.381439049 +26455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.291750626 -0.381439049 +26454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.242254322 -0.381439049 +26452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.020164974 -0.381439049 +26456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.159797581 -0.381439049 +26457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.754563851 -0.381439049 +26458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.311687724 -0.381439049 +26459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.727790766 -0.381439049 +26460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.370970107 -0.381439049 +26453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.701702145 -0.381439049 +26461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.275629272 -0.381439049 +26463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.171305574 -0.381439049 +26462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.819644424 -0.381439049 +26466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.1149883 -0.381439049 +26465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.553075217 -0.381439049 +26464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.355361118 -0.381439049 +26468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.576985315 -0.381439049 +26467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.828747038 -0.381439049 +26469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.144107263 -0.381439049 +26470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.149343696 -0.381439049 +26471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.538962506 -0.381439049 +26472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.25211272 -0.381439049 +26473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.533501604 -0.381439049 +26475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.038267289 -0.381439049 +26476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.333312349 -0.381439049 +26477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.640419531 -0.381439049 +26474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.38406361 -0.381439049 +26478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.700826999 -0.381439049 +26479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.00302004 -0.381439049 +26480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.103870562 -0.381439049 +26481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.331068356 -0.381439049 +26483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.067738643 -0.381439049 +26482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.103899703 -0.381439049 +26484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.763939413 -0.381439049 +26487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.001958972 -0.381439049 +26486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.313817928 -0.381439049 +26485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.058099333 -0.381439049 +26488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.355314691 -0.381439049 +26489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.247328317 -0.381439049 +26490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.451863615 -0.381439049 +26492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.010077959 -0.381439049 +26491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.453081021 -0.381439049 +26493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.617237733 -0.381439049 +26494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.61106559 -0.381439049 +26495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.342447226 -0.381439049 +26496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.569742006 -0.381439049 +26497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.236632732 -0.381439049 +26500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.702102496 -0.381439049 +26498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.223619657 -0.381439049 +26499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.128461036 -0.381439049 +26501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.141563421 -0.381439049 +26502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.185683813 -0.381439049 +26503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.740997403 -0.381439049 +26504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.713874871 -0.381439049 +26506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.033397186 -0.381439049 +26508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.279501128 -0.381439049 +26505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.420120213 -0.381439049 +26509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.363434953 -0.381439049 +26507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.329246407 -0.381439049 +26510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.674314273 -0.381439049 +26512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.778988384 -0.381439049 +26511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.011864982 -0.381439049 +26514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.163805597 -0.381439049 +26515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.106102353 -0.381439049 +26516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.045803735 -0.381439049 +26513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.255271624 -0.381439049 +26517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.452938375 -0.381439049 +26518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.256015808 -0.381439049 +26520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.493609721 -0.381439049 +26521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.69936934 -0.381439049 +26519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.521582785 -0.381439049 +26522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.536085758 -0.381439049 +26523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.394612953 -0.381439049 +26525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.251427881 -0.381439049 +26526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.055856086 -0.381439049 +26524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.019769894 -0.381439049 +26528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.521229921 -0.381439049 +26530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.834648845 -0.381439049 +26527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.178868229 -0.381439049 +26529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.260776829 -0.381439049 +26532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.348842929 -0.381439049 +26534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.271190194 -0.381439049 +26531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.791096301 -0.381439049 +26533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.138195576 -0.381439049 +26535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.545442497 -0.381439049 +26537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.632443955 -0.381439049 +26536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.346994151 -0.381439049 +26539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.804515006 -0.381439049 +26541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.034346457 -0.381439049 +26542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.057239048 -0.381439049 +26540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.578822462 -0.381439049 +26538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.09841533 -0.381439049 +26543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.111485585 -0.381439049 +26545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.573667397 -0.381439049 +26544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.290085075 -0.381439049 +26546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.536294102 -0.381439049 +26547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.024116604 -0.381439049 +26548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.840287029 -0.381439049 +26549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.663715866 -0.381439049 +26551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.068251561 -0.381439049 +26550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.296782956 -0.381439049 +26552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.152354102 -0.381439049 +26553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.076993051 -0.381439049 +26554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.206610417 -0.381439049 +26555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.213808687 -0.381439049 +26556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.781215931 -0.381439049 +26557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.149795709 -0.381439049 +26558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.050784947 -0.381439049 +26561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.740323814 -0.381439049 +26560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.659943191 -0.381439049 +26559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.378371946 -0.381439049 +26562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.234878301 -0.381439049 +26564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.181347372 -0.381439049 +26563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.843120587 -0.381439049 +26565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.47639868 -0.381439049 +26566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.166648029 -0.381439049 +26567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.111808754 -0.381439049 +26571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.154302406 -0.381439049 +26570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.641050757 -0.381439049 +26568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.560794534 -0.381439049 +26572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.139219947 -0.381439049 +26573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.092395504 -0.381439049 +26569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.023742027 -0.381439049 +26574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.718252017 -0.381439049 +26575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.200279764 -0.381439049 +26577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.723097572 -0.381439049 +26578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.558330983 -0.381439049 +26576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.035343726 -0.381439049 +26579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.176534185 -0.381439049 +26580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.657860579 -0.381439049 +26581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.083300199 -0.381439049 +26582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.241308118 -0.381439049 +26585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.759518065 -0.381439049 +26583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.312125031 -0.381439049 +26584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.421082804 -0.381439049 +26586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.17296207 -0.381439049 +26587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.124652922 -0.381439049 +26590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.509095888 -0.381439049 +26588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.78294787 -0.381439049 +26592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.029892638 -0.381439049 +26593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.077901998 -0.381439049 +26591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.393857152 -0.381439049 +26594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.586789621 -0.381439049 +26595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.188490371 -0.381439049 +26589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.179066719 -0.381439049 +26596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.613588962 -0.381439049 +26597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.525681652 -0.381439049 +26598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.377683093 -0.381439049 +26599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.651215128 -0.381439049 +26601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.453025407 -0.381439049 +26600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.183153423 -0.381439049 +26603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.590907529 -0.381439049 +26602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.741447423 -0.381439049 +26605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.48338477 -0.381439049 +26604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.104770027 -0.381439049 +26607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.337850583 -0.381439049 +26606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.77409108 -0.381439049 +26608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.337122449 -0.381439049 +26609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.014100233 -0.381439049 +26610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.44420101 -0.381439049 +26611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.485200813 -0.381439049 +26612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.079695526 -0.381439049 +26613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.445163878 -0.381439049 +26614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.020022568 -0.381439049 +26615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.697215009 -0.381439049 +26616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.085067346 -0.381439049 +26617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.048519584 -0.381439049 +26619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.425794376 -0.381439049 +26621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.018781586 -0.381439049 +26622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.390068554 -0.381439049 +26618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.592114521 -0.381439049 +26624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.484978183 -0.381439049 +26620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.389664297 -0.381439049 +26623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.593973308 -0.381439049 +26625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.55959641 -0.381439049 +26626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.036456909 -0.381439049 +26628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.207527093 -0.381439049 +26627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.185686609 -0.381439049 +26630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.046147043 -0.381439049 +26632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.228501542 -0.381439049 +26631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.419307158 -0.381439049 +26629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.549604008 -0.381439049 +26633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.582934934 -0.381439049 +26634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.089322645 -0.381439049 +26635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.427167127 -0.381439049 +26636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.220373878 -0.381439049 +26637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.337968198 -0.381439049 +26638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.62812422 -0.381439049 +26639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.072950366 -0.381439049 +26641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.183061344 -0.381439049 +26640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.187732692 -0.381439049 +26642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.671046247 -0.381439049 +26644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.257755271 -0.381439049 +26643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.441880441 -0.381439049 +26645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.799833651 -0.381439049 +26646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.751801344 -0.381439049 +26647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.383781363 -0.381439049 +26648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.545902473 -0.381439049 +26649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.343167496 -0.381439049 +26650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.047304833 -0.381439049 +26651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.203697601 -0.381439049 +26652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.15077947 -0.381439049 +26653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.470578061 -0.381439049 +26654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.52376732 -0.381439049 +26656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.405521041 -0.381439049 +26655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.299220529 -0.381439049 +26659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.088011281 -0.381439049 +26657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.548776407 -0.381439049 +26660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.318968364 -0.381439049 +26661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.362645032 -0.381439049 +26662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.692217874 -0.381439049 +26658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.449757686 -0.381439049 +26663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.273168805 -0.381439049 +26664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.71685766 -0.381439049 +26665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.04261651 -0.381439049 +26668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.410479576 -0.381439049 +26666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.771894684 -0.381439049 +26667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.325738517 -0.381439049 +26669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.006460973 -0.381439049 +26670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.258302545 -0.381439049 +26671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.452148882 -0.381439049 +26672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.186011069 -0.381439049 +26673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.476237187 -0.381439049 +26674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.099057002 -0.381439049 +26676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.262667453 -0.381439049 +26675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.071851125 -0.381439049 +26677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.109884927 -0.381439049 +26678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.311661973 -0.381439049 +26680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.46854186 -0.381439049 +26679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.064613668 -0.381439049 +26681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.247098408 -0.381439049 +26682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.394445041 -0.381439049 +26683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.487299872 -0.381439049 +26684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.439784132 -0.381439049 +26686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.423631255 -0.381439049 +26685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.575095169 -0.381439049 +26687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.532763905 -0.381439049 +26688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.192477442 -0.381439049 +26689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.769318409 -0.381439049 +26690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.006560364 -0.381439049 +26691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.016893428 -0.381439049 +26693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.828845463 -0.381439049 +26692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.024988538 -0.381439049 +26694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.412625055 -0.381439049 +26695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.049144697 -0.381439049 +26696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.437029057 -0.381439049 +26698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.473146689 -0.381439049 +26697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.090504409 -0.381439049 +26699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.730459837 -0.381439049 +26700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.550555188 -0.381439049 +26702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.126144189 -0.381439049 +26704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.042197773 -0.381439049 +26705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.351671958 -0.381439049 +26706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.022080409 -0.381439049 +26703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.098431378 -0.381439049 +26707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.555919135 -0.381439049 +26708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.44941725 -0.381439049 +26701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.724289142 -0.381439049 +26710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.042243357 -0.381439049 +26712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.119631371 -0.381439049 +26711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.070283493 -0.381439049 +26713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.377763389 -0.381439049 +26709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.320815322 -0.381439049 +26714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.04534071 -0.381439049 +26715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.420864466 -0.381439049 +26716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.113595489 -0.381439049 +26717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.866676197 -0.381439049 +26718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.502865412 -0.381439049 +26719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.061699335 -0.381439049 +26722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.020749336 -0.381439049 +26720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.310883675 -0.381439049 +26721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.690941349 -0.381439049 +26724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.232050937 -0.381439049 +26723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.372181212 -0.381439049 +26727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.679579011 -0.381439049 +26725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.173712492 -0.381439049 +26726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.357295857 -0.381439049 +26728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.200513531 -0.381439049 +26729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.107870849 -0.381439049 +26730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.026402555 -0.381439049 +26732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.5629618 -0.381439049 +26731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.488565464 -0.381439049 +26734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.412329432 -0.381439049 +26735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.054636281 -0.381439049 +26733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.693739518 -0.381439049 +26736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.61657771 -0.381439049 +26737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.575721162 -0.381439049 +26738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.411536512 -0.381439049 +26740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.358005491 -0.381439049 +26742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.484930062 -0.381439049 +26743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.143766402 -0.381439049 +26741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.638848842 -0.381439049 +26744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.346114896 -0.381439049 +26739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.569542489 -0.381439049 +26745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.360303863 -0.381439049 +26746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.592597279 -0.381439049 +26748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.622852139 -0.381439049 +26750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.836453579 -0.381439049 +26749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.58780297 -0.381439049 +26751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.035477548 -0.381439049 +26753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.623440928 -0.381439049 +26752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.306247174 -0.381439049 +26754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.802784405 -0.381439049 +26747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.343137827 -0.381439049 +26755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.325737125 -0.381439049 +26757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.445162362 -0.381439049 +26759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.389330665 -0.381439049 +26760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.218827531 -0.381439049 +26758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.097140816 -0.381439049 +26756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.599106027 -0.381439049 +26761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.588829934 -0.381439049 +26762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.642232742 -0.381439049 +26763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.026090677 -0.381439049 +26764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.516904325 -0.381439049 +26765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.339838222 -0.381439049 +26767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.505669553 -0.381439049 +26768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.571633076 -0.381439049 +26766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.118681371 -0.381439049 +26770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.303398584 -0.381439049 +26771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.087484903 -0.381439049 +26772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.013151806 -0.381439049 +26773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.029859121 -0.381439049 +26775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.690324565 -0.381439049 +26774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.579922576 -0.381439049 +26776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.590419414 -0.381439049 +26769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.583170122 -0.381439049 +26777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.537512633 -0.381439049 +26779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.798767362 -0.381439049 +26780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.096371522 -0.381439049 +26778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.588224585 -0.381439049 +26783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.483441333 -0.381439049 +26782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.173333683 -0.381439049 +26784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.594728167 -0.381439049 +26781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.266125616 -0.381439049 +26785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.95131663 -0.381439049 +26786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.416861266 -0.381439049 +26788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.012451402 -0.381439049 +26791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.44008396 -0.381439049 +26787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.586043192 -0.381439049 +26790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.034182598 -0.381439049 +26792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.17991485 -0.381439049 +26789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.302323816 -0.381439049 +26795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.072466559 -0.381439049 +26796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.596031088 -0.381439049 +26794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.058713092 -0.381439049 +26793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.317683117 -0.381439049 +26797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.712690107 -0.381439049 +26799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.341242616 -0.381439049 +26800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.711245684 -0.381439049 +26798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.364442304 -0.381439049 +26802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.722518389 -0.381439049 +26803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.15210517 -0.381439049 +26805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.610725081 -0.381439049 +26801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.715762672 -0.381439049 +26804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.2702611 -0.381439049 +26806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.555382341 -0.381439049 +26807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.417276539 -0.381439049 +26808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.334675507 -0.381439049 +26809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.415499182 -0.381439049 +26811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.012612678 -0.381439049 +26812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.532229024 -0.381439049 +26810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.65242199 -0.381439049 +26814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.618193399 -0.381439049 +26815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.516525849 -0.381439049 +26813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.193829218 -0.381439049 +26816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.68963118 -0.381439049 +26817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.56905922 -0.381439049 +26818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.599490186 -0.381439049 +26819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.494424877 -0.381439049 +26820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.383790959 -0.381439049 +26821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.278150843 -0.381439049 +26822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.202386301 -0.381439049 +26823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.138124276 -0.381439049 +26824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.349921582 -0.381439049 +26826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.182664432 -0.381439049 +26825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.39219162 -0.381439049 +26827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.556117707 -0.381439049 +26828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.209068659 -0.381439049 +26829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.446019209 -0.381439049 +26830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.536774507 -0.381439049 +26831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.690684657 -0.381439049 +26832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.006474707 -0.381439049 +26833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.405265752 -0.381439049 +26834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.302524803 -0.381439049 +26836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.119926484 -0.381439049 +26835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.750807841 -0.381439049 +26837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.77096851 -0.381439049 +26838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.314193674 -0.381439049 +26840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.360578607 -0.381439049 +26839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.689492092 -0.381439049 +26842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.413073542 -0.381439049 +26841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.032868035 -0.381439049 +26843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.822648058 -0.381439049 +26844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.748786114 -0.381439049 +26845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.70164722 -0.381439049 +26847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.072149874 -0.381439049 +26846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.114646328 -0.381439049 +26848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.267821345 -0.381439049 +26850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.096203817 -0.381439049 +26849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.204326118 -0.381439049 +26851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.28958336 -0.381439049 +26852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.729502809 -0.381439049 +26853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.489177069 -0.381439049 +26854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.05192722 -0.381439049 +26855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.398484731 -0.381439049 +26858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.392470785 -0.381439049 +26857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.238072558 -0.381439049 +26859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.258234853 -0.381439049 +26860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.234235511 -0.381439049 +26856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.213586378 -0.381439049 +26861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.707996517 -0.381439049 +26862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.100255852 -0.381439049 +26863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.072524432 -0.381439049 +26865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.013481266 -0.381439049 +26864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.422597031 -0.381439049 +26866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.107331142 -0.381439049 +26867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.274321082 -0.381439049 +26869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.245204612 -0.381439049 +26868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.177369705 -0.381439049 +26870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.595929841 -0.381439049 +26871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.027265101 -0.381439049 +26872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.181043939 -0.381439049 +26873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.57296182 -0.381439049 +26874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.234044512 -0.381439049 +26875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.837744634 -0.381439049 +26876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.6834721 -0.381439049 +26877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.791400543 -0.381439049 +26879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.364563308 -0.381439049 +26878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.602375875 -0.381439049 +26881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.087384547 -0.381439049 +26880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.212378237 -0.381439049 +26882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.620247436 -0.381439049 +26883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.736566559 -0.381439049 +26884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.523291058 -0.381439049 +26887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.138894147 -0.381439049 +26886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.250095733 -0.381439049 +26885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.685812667 -0.381439049 +26888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.384505734 -0.381439049 +26889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.727775868 -0.381439049 +26890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.411878968 -0.381439049 +26891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.563768923 -0.381439049 +26892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.230556956 -0.381439049 +26894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.769074196 -0.381439049 +26895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.297569153 -0.381439049 +26893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.690970765 -0.381439049 +26897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.298876007 -0.381439049 +26896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.087847056 -0.381439049 +26898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.127732693 -0.381439049 +26900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.414078071 -0.381439049 +26899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.44165473 -0.381439049 +26901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.266628375 -0.381439049 +26902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.222887433 -0.381439049 +26903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.558100649 -0.381439049 +26905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.539087229 -0.381439049 +26906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.449841285 -0.381439049 +26907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.850289447 -0.381439049 +26904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.10197992 -0.381439049 +26908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.630857343 -0.381439049 +26909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.509083038 -0.381439049 +26911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.302599714 -0.381439049 +26913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.237946571 -0.381439049 +26912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.68380186 -0.381439049 +26910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.179769351 -0.381439049 +26915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.53545745 -0.381439049 +26914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.009790285 -0.381439049 +26916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.495101096 -0.381439049 +26917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.845118326 -0.381439049 +26919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.686275262 -0.381439049 +26920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.492818674 -0.381439049 +26922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.655661764 -0.381439049 +26918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.749234709 -0.381439049 +26921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.578504977 -0.381439049 +26924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.316594913 -0.381439049 +26923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.630873797 -0.381439049 +26925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.056534772 -0.381439049 +26926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.342771637 -0.381439049 +26927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.292426138 -0.381439049 +26929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.571198954 -0.381439049 +26928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.590532147 -0.381439049 +26931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.48188197 -0.381439049 +26930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.659308372 -0.381439049 +26932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.155660365 -0.381439049 +26933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.003332934 -0.381439049 +26934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.488386543 -0.381439049 +26935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.711013287 -0.381439049 +26937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.645617766 -0.381439049 +26936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.199544443 -0.381439049 +26938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.156724523 -0.381439049 +26940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.388288199 -0.381439049 +26941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.243200205 -0.381439049 +26942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.554310488 -0.381439049 +26939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.463666052 -0.381439049 +26944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.67158755 -0.381439049 +26945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.420803765 -0.381439049 +26946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.037253814 -0.381439049 +26943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.726262623 -0.381439049 +26947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.409882515 -0.381439049 +26949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.693193421 -0.381439049 +26948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.400483289 -0.381439049 +26951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.610293568 -0.381439049 +26950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.246487779 -0.381439049 +26952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.754235187 -0.381439049 +26954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.539382991 -0.381439049 +26953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.038167247 -0.381439049 +26957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.708852108 -0.381439049 +26956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.519602181 -0.381439049 +26955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.782871108 -0.381439049 +26958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.508821018 -0.381439049 +26959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.324806606 -0.381439049 +26960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.176534501 -0.381439049 +26962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.362035338 -0.381439049 +26961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.408645214 -0.381439049 +26964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.595019348 -0.381439049 +26965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.523926738 -0.381439049 +26966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.613566291 -0.381439049 +26963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.187288327 -0.381439049 +26967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.168208435 -0.381439049 +26969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.714156236 -0.381439049 +26968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.754425088 -0.381439049 +26970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.311962278 -0.381439049 +26971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.516609717 -0.381439049 +26973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.041708852 -0.381439049 +26972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.687501285 -0.381439049 +26974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.744893382 -0.381439049 +26976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.62057666 -0.381439049 +26975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.472132886 -0.381439049 +26978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.477192624 -0.381439049 +26977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.507680617 -0.381439049 +26979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.38023417 -0.381439049 +26980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.513125233 -0.381439049 +26981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.217726478 -0.381439049 +26982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.604785814 -0.381439049 +26983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.156190934 -0.381439049 +26984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.130969035 -0.381439049 +26987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.368611199 -0.381439049 +26986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.513467908 -0.381439049 +26988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.129451467 -0.381439049 +26989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.732437916 -0.381439049 +26985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.057085407 -0.381439049 +26991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.173077416 -0.381439049 +26990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.572994342 -0.381439049 +26992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.787635964 -0.381439049 +26994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.236276913 -0.381439049 +26993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.02760255 -0.381439049 +26995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.225827861 -0.381439049 +26996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 0.01552037 -0.381439049 +26997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.681998477 -0.381439049 +26998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.537682535 -0.381439049 +26999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.244214302 -0.381439049 +27000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.3 10 1 -0.033817454 -0.381439049 +27003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.744027375 -0.382201522 +27005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.243270178 -0.382201522 +27002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.100741555 -0.382201522 +27001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.653972385 -0.382201522 +27006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.504692722 -0.382201522 +27004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.758955823 -0.382201522 +27007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 7.51E-04 -0.382201522 +27008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.58100004 -0.382201522 +27012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.84831486 -0.382201522 +27011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.490352612 -0.382201522 +27009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.445115865 -0.382201522 +27013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.191598883 -0.382201522 +27014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -6.31E-04 -0.382201522 +27015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.730516583 -0.382201522 +27017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.075737509 -0.382201522 +27019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.040267538 -0.382201522 +27016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.113371268 -0.382201522 +27018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.254108616 -0.382201522 +27020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.151706388 -0.382201522 +27010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.249383479 -0.382201522 +27021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.688417722 -0.382201522 +27023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.232934803 -0.382201522 +27024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.070910529 -0.382201522 +27022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.290938172 -0.382201522 +27025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.050634171 -0.382201522 +27026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.292856785 -0.382201522 +27027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.067486628 -0.382201522 +27028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.18762822 -0.382201522 +27029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.282873567 -0.382201522 +27030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.222695085 -0.382201522 +27031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.71145677 -0.382201522 +27032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.789631381 -0.382201522 +27035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.105661057 -0.382201522 +27034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.188993845 -0.382201522 +27036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.156084187 -0.382201522 +27037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.646932587 -0.382201522 +27033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.171964833 -0.382201522 +27039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.080934532 -0.382201522 +27041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.400087903 -0.382201522 +27038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.142333752 -0.382201522 +27040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.203322388 -0.382201522 +27043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.69900186 -0.382201522 +27042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.719267946 -0.382201522 +27045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.157846122 -0.382201522 +27044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.022745457 -0.382201522 +27046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.377434309 -0.382201522 +27048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.515801913 -0.382201522 +27047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.21461451 -0.382201522 +27050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.58631793 -0.382201522 +27051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.094755589 -0.382201522 +27052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.656390905 -0.382201522 +27053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.858186394 -0.382201522 +27054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.598003791 -0.382201522 +27055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.069125542 -0.382201522 +27049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.704832979 -0.382201522 +27057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.712720718 -0.382201522 +27056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.610819915 -0.382201522 +27058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.07250615 -0.382201522 +27060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.25793555 -0.382201522 +27059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.527883625 -0.382201522 +27061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.033401646 -0.382201522 +27062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.164254929 -0.382201522 +27064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.142072911 -0.382201522 +27065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.226966137 -0.382201522 +27063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.027813363 -0.382201522 +27066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.054055415 -0.382201522 +27067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.63384092 -0.382201522 +27068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.119562174 -0.382201522 +27069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.876756535 -0.382201522 +27070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.014881866 -0.382201522 +27071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.095687076 -0.382201522 +27072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.411648541 -0.382201522 +27074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.093751511 -0.382201522 +27075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.015552667 -0.382201522 +27076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.443972192 -0.382201522 +27073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.565607144 -0.382201522 +27077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.290923936 -0.382201522 +27078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.36911882 -0.382201522 +27079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.42929989 -0.382201522 +27081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.362364441 -0.382201522 +27080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.736328819 -0.382201522 +27082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.065330966 -0.382201522 +27083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.097271194 -0.382201522 +27084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.520514949 -0.382201522 +27086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.607622118 -0.382201522 +27085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.810686303 -0.382201522 +27087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.638993485 -0.382201522 +27088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.389092759 -0.382201522 +27089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.112408182 -0.382201522 +27090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.627589747 -0.382201522 +27091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.761193826 -0.382201522 +27093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.192732135 -0.382201522 +27094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.655508818 -0.382201522 +27095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.603548265 -0.382201522 +27097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.368813126 -0.382201522 +27098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.381671597 -0.382201522 +27096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.321832822 -0.382201522 +27092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.225066488 -0.382201522 +27099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.655989829 -0.382201522 +27101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.163594723 -0.382201522 +27100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.454376304 -0.382201522 +27102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.056172969 -0.382201522 +27103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.784803217 -0.382201522 +27105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.213030803 -0.382201522 +27104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.379795222 -0.382201522 +27106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.259811404 -0.382201522 +27107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.679591506 -0.382201522 +27108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.267307139 -0.382201522 +27109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.644641856 -0.382201522 +27110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.205750527 -0.382201522 +27111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.608046932 -0.382201522 +27113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.060769187 -0.382201522 +27112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.495218831 -0.382201522 +27117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.589861921 -0.382201522 +27114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.232551711 -0.382201522 +27116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.180169923 -0.382201522 +27115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.062641163 -0.382201522 +27118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.051229815 -0.382201522 +27119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.008188085 -0.382201522 +27121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.22330933 -0.382201522 +27120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.586235228 -0.382201522 +27122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.032452853 -0.382201522 +27123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.689331717 -0.382201522 +27125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.118136268 -0.382201522 +27124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.783401721 -0.382201522 +27126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.79644716 -0.382201522 +27127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.024944757 -0.382201522 +27128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.372203141 -0.382201522 +27129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.804498326 -0.382201522 +27130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.258718173 -0.382201522 +27134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.062000516 -0.382201522 +27133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.262361602 -0.382201522 +27132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.563500813 -0.382201522 +27135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.577635683 -0.382201522 +27136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.83510744 -0.382201522 +27131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.449146562 -0.382201522 +27137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.556281775 -0.382201522 +27138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.155148498 -0.382201522 +27141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.710794189 -0.382201522 +27139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.420626587 -0.382201522 +27140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.601505072 -0.382201522 +27142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.249244796 -0.382201522 +27143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.619985517 -0.382201522 +27144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.574205758 -0.382201522 +27145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.055276685 -0.382201522 +27146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.426758734 -0.382201522 +27147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.167501824 -0.382201522 +27148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.325703721 -0.382201522 +27149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.68442119 -0.382201522 +27151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.400039685 -0.382201522 +27150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.713726093 -0.382201522 +27153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.555183347 -0.382201522 +27154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.60964908 -0.382201522 +27156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.501204498 -0.382201522 +27157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.132187276 -0.382201522 +27152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.113430664 -0.382201522 +27155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.832261598 -0.382201522 +27158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.320700768 -0.382201522 +27159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.362860019 -0.382201522 +27161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.736326269 -0.382201522 +27160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.836750392 -0.382201522 +27162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.318167877 -0.382201522 +27163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.536154009 -0.382201522 +27165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.001411963 -0.382201522 +27164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.246121748 -0.382201522 +27166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.476513318 -0.382201522 +27167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.220384607 -0.382201522 +27168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.866145609 -0.382201522 +27169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.54667812 -0.382201522 +27171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.566943046 -0.382201522 +27170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.350971511 -0.382201522 +27172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.497714108 -0.382201522 +27173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.756613238 -0.382201522 +27175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.214870316 -0.382201522 +27176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.086176263 -0.382201522 +27174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.429888875 -0.382201522 +27179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.746771095 -0.382201522 +27177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.608814921 -0.382201522 +27180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.262856045 -0.382201522 +27178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.546092011 -0.382201522 +27182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.657020366 -0.382201522 +27183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.033459931 -0.382201522 +27181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.276723311 -0.382201522 +27184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.626019445 -0.382201522 +27186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.351626108 -0.382201522 +27187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.823350373 -0.382201522 +27185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.263136058 -0.382201522 +27188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.570651706 -0.382201522 +27190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.689149992 -0.382201522 +27191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.539333228 -0.382201522 +27192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.242212191 -0.382201522 +27193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.506351213 -0.382201522 +27194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.069594882 -0.382201522 +27195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.202872646 -0.382201522 +27189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.633109153 -0.382201522 +27197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.20149545 -0.382201522 +27196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.623108417 -0.382201522 +27198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.012971532 -0.382201522 +27200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.732394484 -0.382201522 +27202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.225404564 -0.382201522 +27201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.774051207 -0.382201522 +27199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.798294384 -0.382201522 +27203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.682813367 -0.382201522 +27204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.567537785 -0.382201522 +27205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.081320379 -0.382201522 +27206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.184247905 -0.382201522 +27207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.060793453 -0.382201522 +27208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.446896206 -0.382201522 +27210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.242708161 -0.382201522 +27209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.334244485 -0.382201522 +27213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.352028858 -0.382201522 +27211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.276314056 -0.382201522 +27212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.779532101 -0.382201522 +27215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.067047001 -0.382201522 +27214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.057666257 -0.382201522 +27216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.043188053 -0.382201522 +27218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.360677466 -0.382201522 +27217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.195043804 -0.382201522 +27220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.705304098 -0.382201522 +27219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.422353938 -0.382201522 +27221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.508411655 -0.382201522 +27222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.570644845 -0.382201522 +27223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.020865848 -0.382201522 +27224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.444644613 -0.382201522 +27226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.74244404 -0.382201522 +27227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.694423192 -0.382201522 +27225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.020318375 -0.382201522 +27228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.202720203 -0.382201522 +27230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.171518381 -0.382201522 +27229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.365993791 -0.382201522 +27231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.183924092 -0.382201522 +27232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.831248184 -0.382201522 +27233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.187945154 -0.382201522 +27234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.634364851 -0.382201522 +27237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.27679796 -0.382201522 +27236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.756940295 -0.382201522 +27238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.196583006 -0.382201522 +27239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.562376033 -0.382201522 +27240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.448902114 -0.382201522 +27235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.309353881 -0.382201522 +27242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.306818149 -0.382201522 +27241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.486533042 -0.382201522 +27244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.277869499 -0.382201522 +27245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.153685938 -0.382201522 +27246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.357103348 -0.382201522 +27243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.540162101 -0.382201522 +27247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.382010697 -0.382201522 +27250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.585441205 -0.382201522 +27249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.581345351 -0.382201522 +27254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.508583948 -0.382201522 +27253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.461909649 -0.382201522 +27248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.460967933 -0.382201522 +27251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.328740733 -0.382201522 +27255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.119430656 -0.382201522 +27252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.236577762 -0.382201522 +27257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.073454755 -0.382201522 +27258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.735317484 -0.382201522 +27259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.028471237 -0.382201522 +27256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.484664222 -0.382201522 +27260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.118130741 -0.382201522 +27261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.345638685 -0.382201522 +27262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.038425969 -0.382201522 +27263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.771889179 -0.382201522 +27267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.160557052 -0.382201522 +27265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.163316437 -0.382201522 +27264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.79648609 -0.382201522 +27269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.359576359 -0.382201522 +27266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.3416096 -0.382201522 +27270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.153261538 -0.382201522 +27271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.124094099 -0.382201522 +27268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.547234353 -0.382201522 +27272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.445501426 -0.382201522 +27273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.57518243 -0.382201522 +27274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.260688169 -0.382201522 +27275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.564586095 -0.382201522 +27277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.124491709 -0.382201522 +27276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.273531219 -0.382201522 +27278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.349559348 -0.382201522 +27279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.200791515 -0.382201522 +27282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.773858867 -0.382201522 +27280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.847223536 -0.382201522 +27281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.126610877 -0.382201522 +27283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.535132135 -0.382201522 +27284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.058579635 -0.382201522 +27285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.55227031 -0.382201522 +27286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.679252962 -0.382201522 +27290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.04415238 -0.382201522 +27288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.402492247 -0.382201522 +27289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.328364747 -0.382201522 +27287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.293206885 -0.382201522 +27292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.36798161 -0.382201522 +27291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.422054425 -0.382201522 +27293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.559467548 -0.382201522 +27294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.076840919 -0.382201522 +27296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.414720099 -0.382201522 +27295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.423018704 -0.382201522 +27300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.05166271 -0.382201522 +27299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.565696399 -0.382201522 +27298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.629399904 -0.382201522 +27301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.030923765 -0.382201522 +27297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.648109847 -0.382201522 +27302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.702656322 -0.382201522 +27303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.418204265 -0.382201522 +27304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.691860603 -0.382201522 +27306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.216180875 -0.382201522 +27305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.668627608 -0.382201522 +27308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.59783746 -0.382201522 +27309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.726213059 -0.382201522 +27307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.584986804 -0.382201522 +27310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.450989633 -0.382201522 +27312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.49146396 -0.382201522 +27311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.155756216 -0.382201522 +27313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.260017711 -0.382201522 +27314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.574354215 -0.382201522 +27315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.753568409 -0.382201522 +27316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.537238059 -0.382201522 +27317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.239685567 -0.382201522 +27318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.468296407 -0.382201522 +27319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.529222439 -0.382201522 +27320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.364588727 -0.382201522 +27322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.830204311 -0.382201522 +27323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.673224254 -0.382201522 +27321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.233408906 -0.382201522 +27324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.559405409 -0.382201522 +27326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.441678265 -0.382201522 +27327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.662285313 -0.382201522 +27328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.558570338 -0.382201522 +27329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.467798084 -0.382201522 +27330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.538268217 -0.382201522 +27325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.403282832 -0.382201522 +27331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.046512103 -0.382201522 +27332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.735729792 -0.382201522 +27333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.035245625 -0.382201522 +27334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.368698131 -0.382201522 +27335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.078477603 -0.382201522 +27336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.528393367 -0.382201522 +27337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.582551246 -0.382201522 +27338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.619238098 -0.382201522 +27339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.609027006 -0.382201522 +27340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.180054839 -0.382201522 +27341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.344400566 -0.382201522 +27342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.494921931 -0.382201522 +27343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.313052319 -0.382201522 +27344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.658596913 -0.382201522 +27345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.67677384 -0.382201522 +27347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.224300717 -0.382201522 +27349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.636938841 -0.382201522 +27346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.01919171 -0.382201522 +27350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.399274733 -0.382201522 +27348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.115187402 -0.382201522 +27351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.717441986 -0.382201522 +27352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.609714313 -0.382201522 +27353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.484456921 -0.382201522 +27354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.231047433 -0.382201522 +27355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.028931577 -0.382201522 +27357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.554166511 -0.382201522 +27358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.149273489 -0.382201522 +27356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.688123615 -0.382201522 +27360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.568407897 -0.382201522 +27359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.044293936 -0.382201522 +27361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.640482812 -0.382201522 +27363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.203725648 -0.382201522 +27364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.208760922 -0.382201522 +27362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.675804691 -0.382201522 +27365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.118858896 -0.382201522 +27367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.008603475 -0.382201522 +27368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.419161819 -0.382201522 +27369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.058780255 -0.382201522 +27366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.028202808 -0.382201522 +27370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.453711985 -0.382201522 +27371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.759835459 -0.382201522 +27372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.136709317 -0.382201522 +27373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.180390613 -0.382201522 +27374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.044718327 -0.382201522 +27375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.626086655 -0.382201522 +27376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.566050199 -0.382201522 +27377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.054548493 -0.382201522 +27379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.473062384 -0.382201522 +27380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.026631544 -0.382201522 +27378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.315054441 -0.382201522 +27381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.151272404 -0.382201522 +27382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.711490363 -0.382201522 +27384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.041566139 -0.382201522 +27383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.219925128 -0.382201522 +27386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.564011726 -0.382201522 +27388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.09322994 -0.382201522 +27387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.052972508 -0.382201522 +27390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.575541938 -0.382201522 +27391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.79491875 -0.382201522 +27389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.729033779 -0.382201522 +27392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.495708577 -0.382201522 +27385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.043465936 -0.382201522 +27395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.54269049 -0.382201522 +27393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.024724276 -0.382201522 +27396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.366975897 -0.382201522 +27398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.242291137 -0.382201522 +27399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.047773243 -0.382201522 +27397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.405567536 -0.382201522 +27394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.659422309 -0.382201522 +27400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.281377525 -0.382201522 +27401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.149345386 -0.382201522 +27402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.150730081 -0.382201522 +27403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.162669165 -0.382201522 +27404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.181549186 -0.382201522 +27406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.556888274 -0.382201522 +27407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.565851066 -0.382201522 +27405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.666889147 -0.382201522 +27410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.418667913 -0.382201522 +27409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.034810725 -0.382201522 +27411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.03229909 -0.382201522 +27412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.021130286 -0.382201522 +27413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.35329208 -0.382201522 +27414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.720951486 -0.382201522 +27408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.137193909 -0.382201522 +27415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.563531405 -0.382201522 +27416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.643404962 -0.382201522 +27419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.240979847 -0.382201522 +27418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.037807615 -0.382201522 +27420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.101854447 -0.382201522 +27422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.261850646 -0.382201522 +27417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.479771472 -0.382201522 +27421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.249942257 -0.382201522 +27423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.670866493 -0.382201522 +27424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.812272288 -0.382201522 +27426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.421210632 -0.382201522 +27427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.6183431 -0.382201522 +27430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.663335905 -0.382201522 +27428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.369329848 -0.382201522 +27429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.795011537 -0.382201522 +27431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.674245546 -0.382201522 +27425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.016050618 -0.382201522 +27433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.282840267 -0.382201522 +27434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.212075502 -0.382201522 +27432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.705828736 -0.382201522 +27437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.623196388 -0.382201522 +27435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.507140989 -0.382201522 +27436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.123029716 -0.382201522 +27438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.482999706 -0.382201522 +27439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.035758197 -0.382201522 +27441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.11834479 -0.382201522 +27440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.311542553 -0.382201522 +27442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.203121761 -0.382201522 +27444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.160365322 -0.382201522 +27443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.382205925 -0.382201522 +27445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.316041982 -0.382201522 +27446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.026324268 -0.382201522 +27448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.781216431 -0.382201522 +27447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.061974475 -0.382201522 +27449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.125260438 -0.382201522 +27450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.216821756 -0.382201522 +27451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.83009593 -0.382201522 +27452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.110119364 -0.382201522 +27454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.260289914 -0.382201522 +27453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.081226228 -0.382201522 +27456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.625196131 -0.382201522 +27457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.328797123 -0.382201522 +27455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.399082761 -0.382201522 +27459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.43895645 -0.382201522 +27458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.247984045 -0.382201522 +27460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.160186039 -0.382201522 +27461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.35823104 -0.382201522 +27464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.753691806 -0.382201522 +27463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.006432522 -0.382201522 +27462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.555326776 -0.382201522 +27467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.416760043 -0.382201522 +27465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.373753164 -0.382201522 +27468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.186936882 -0.382201522 +27466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.097401958 -0.382201522 +27469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.585522046 -0.382201522 +27470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.542069868 -0.382201522 +27471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.170398746 -0.382201522 +27474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.655130357 -0.382201522 +27475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.07095862 -0.382201522 +27473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.114339378 -0.382201522 +27476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.416898753 -0.382201522 +27477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.145928303 -0.382201522 +27472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.634430119 -0.382201522 +27479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.757288288 -0.382201522 +27480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.077952696 -0.382201522 +27478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.549870279 -0.382201522 +27481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.310660742 -0.382201522 +27482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.092915381 -0.382201522 +27483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.525709947 -0.382201522 +27486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.696800769 -0.382201522 +27484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.136891303 -0.382201522 +27487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.562915827 -0.382201522 +27488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.259265893 -0.382201522 +27489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.432207063 -0.382201522 +27485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.866180861 -0.382201522 +27491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.704669636 -0.382201522 +27490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.16153612 -0.382201522 +27492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.540958115 -0.382201522 +27494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.387942016 -0.382201522 +27495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.417210281 -0.382201522 +27496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.314320084 -0.382201522 +27497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.13019219 -0.382201522 +27493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.585224587 -0.382201522 +27498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.055044148 -0.382201522 +27499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.220967369 -0.382201522 +27500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.245073188 -0.382201522 +27501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.666944409 -0.382201522 +27503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.143636807 -0.382201522 +27504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.469170359 -0.382201522 +27502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.17092218 -0.382201522 +27505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.013753197 -0.382201522 +27506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.485660234 -0.382201522 +27507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.244086723 -0.382201522 +27508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.75505056 -0.382201522 +27509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.303528657 -0.382201522 +27512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.179349149 -0.382201522 +27510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.19306964 -0.382201522 +27511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.041378041 -0.382201522 +27513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.301277286 -0.382201522 +27514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.053071253 -0.382201522 +27516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.63734599 -0.382201522 +27515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.254872286 -0.382201522 +27519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.629354141 -0.382201522 +27517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.283248715 -0.382201522 +27520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.275159171 -0.382201522 +27518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.317872729 -0.382201522 +27522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.337706873 -0.382201522 +27521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.336982095 -0.382201522 +27523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.53654202 -0.382201522 +27524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.405058142 -0.382201522 +27526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.168653445 -0.382201522 +27525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.646804863 -0.382201522 +27528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.033217758 -0.382201522 +27529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.390761929 -0.382201522 +27531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.246943335 -0.382201522 +27532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.141639989 -0.382201522 +27530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.557654386 -0.382201522 +27527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.666148706 -0.382201522 +27534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.614564405 -0.382201522 +27533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.112510413 -0.382201522 +27535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.543652953 -0.382201522 +27537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.48648203 -0.382201522 +27538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.72148486 -0.382201522 +27536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.732998686 -0.382201522 +27540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.438993077 -0.382201522 +27541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.071640981 -0.382201522 +27542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.53297429 -0.382201522 +27539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.481448528 -0.382201522 +27544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.094956969 -0.382201522 +27545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.612953374 -0.382201522 +27546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.371328299 -0.382201522 +27548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.697118982 -0.382201522 +27549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.521878267 -0.382201522 +27547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.16427282 -0.382201522 +27543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.405104202 -0.382201522 +27551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.145021447 -0.382201522 +27552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.579847428 -0.382201522 +27550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.366147961 -0.382201522 +27553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.860858497 -0.382201522 +27554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.675889857 -0.382201522 +27555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.611874261 -0.382201522 +27556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.362971135 -0.382201522 +27557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.592173257 -0.382201522 +27558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.117252718 -0.382201522 +27559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.367494772 -0.382201522 +27562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.510273454 -0.382201522 +27563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.546313959 -0.382201522 +27560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.245501105 -0.382201522 +27561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.720778558 -0.382201522 +27564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.004677615 -0.382201522 +27565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.116078498 -0.382201522 +27566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.027670085 -0.382201522 +27567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.720302294 -0.382201522 +27568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.727979907 -0.382201522 +27571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.57674829 -0.382201522 +27570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.41887095 -0.382201522 +27573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.657643897 -0.382201522 +27572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.786141536 -0.382201522 +27569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.5109981 -0.382201522 +27574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.150043829 -0.382201522 +27576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.345100916 -0.382201522 +27578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.129420406 -0.382201522 +27577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.500019892 -0.382201522 +27579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.178237126 -0.382201522 +27580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.261355592 -0.382201522 +27575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.465362806 -0.382201522 +27582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.348875768 -0.382201522 +27581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.462089774 -0.382201522 +27583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.320955031 -0.382201522 +27585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.895105814 -0.382201522 +27586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.483366168 -0.382201522 +27588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.182844566 -0.382201522 +27590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.528654577 -0.382201522 +27584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.40227237 -0.382201522 +27591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.138205515 -0.382201522 +27587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.745767926 -0.382201522 +27589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.112464023 -0.382201522 +27592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.391254076 -0.382201522 +27593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.434414053 -0.382201522 +27594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.6796817 -0.382201522 +27595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.074338898 -0.382201522 +27596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.659979404 -0.382201522 +27598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.73475442 -0.382201522 +27597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.755324971 -0.382201522 +27599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.781303979 -0.382201522 +27601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.423902846 -0.382201522 +27602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.04247129 -0.382201522 +27600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.345434325 -0.382201522 +27603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.502545752 -0.382201522 +27606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.477227509 -0.382201522 +27607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.338354625 -0.382201522 +27605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.082937667 -0.382201522 +27604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.606527323 -0.382201522 +27608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.031769292 -0.382201522 +27610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.01736788 -0.382201522 +27609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.155321009 -0.382201522 +27611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.452599533 -0.382201522 +27612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.130776888 -0.382201522 +27614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.471688874 -0.382201522 +27613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.184695735 -0.382201522 +27615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.060108436 -0.382201522 +27616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.769151181 -0.382201522 +27618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.152974414 -0.382201522 +27617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.040794423 -0.382201522 +27620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.395688994 -0.382201522 +27619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.351860444 -0.382201522 +27622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.254817024 -0.382201522 +27621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.322457153 -0.382201522 +27624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.006105062 -0.382201522 +27625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.235141994 -0.382201522 +27623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.470394015 -0.382201522 +27626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.060868757 -0.382201522 +27627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.653546261 -0.382201522 +27628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.22397685 -0.382201522 +27630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.400870578 -0.382201522 +27629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.492755729 -0.382201522 +27631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.203185632 -0.382201522 +27632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.291323895 -0.382201522 +27633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.517784302 -0.382201522 +27634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.650713924 -0.382201522 +27635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.58810436 -0.382201522 +27636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.526473085 -0.382201522 +27637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.212758186 -0.382201522 +27638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.810404747 -0.382201522 +27639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.704519462 -0.382201522 +27640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.487659663 -0.382201522 +27642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.758705812 -0.382201522 +27643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.157399249 -0.382201522 +27641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.343151597 -0.382201522 +27644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.608257599 -0.382201522 +27646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.410840478 -0.382201522 +27647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.106297758 -0.382201522 +27645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.159595801 -0.382201522 +27648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.394614241 -0.382201522 +27649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.277911792 -0.382201522 +27650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.646451675 -0.382201522 +27652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.458016161 -0.382201522 +27651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.617039577 -0.382201522 +27655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.651380475 -0.382201522 +27654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.251798975 -0.382201522 +27656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.570448875 -0.382201522 +27653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.177190553 -0.382201522 +27658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.002218594 -0.382201522 +27657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.382820977 -0.382201522 +27659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.555368508 -0.382201522 +27661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.220486428 -0.382201522 +27660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.067805689 -0.382201522 +27662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.067353991 -0.382201522 +27663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.576303077 -0.382201522 +27664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.494491318 -0.382201522 +27665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.217422914 -0.382201522 +27666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.630970563 -0.382201522 +27667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.116544739 -0.382201522 +27668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.023580949 -0.382201522 +27669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.159600296 -0.382201522 +27670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.501408557 -0.382201522 +27671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.356375572 -0.382201522 +27672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.74042384 -0.382201522 +27673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.140207552 -0.382201522 +27674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.605238305 -0.382201522 +27675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.082069791 -0.382201522 +27676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.030097261 -0.382201522 +27678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.103141967 -0.382201522 +27680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.128177073 -0.382201522 +27681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.19124137 -0.382201522 +27677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.79468515 -0.382201522 +27679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.743433354 -0.382201522 +27682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.507703682 -0.382201522 +27683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.069128869 -0.382201522 +27686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.034356846 -0.382201522 +27684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.613185887 -0.382201522 +27685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.13264673 -0.382201522 +27687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.506043983 -0.382201522 +27689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.278785921 -0.382201522 +27690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.045431788 -0.382201522 +27694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.401246139 -0.382201522 +27693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.23896132 -0.382201522 +27691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.055065364 -0.382201522 +27688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.025051335 -0.382201522 +27695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.700914271 -0.382201522 +27696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.177647899 -0.382201522 +27692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.098005133 -0.382201522 +27698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.350017498 -0.382201522 +27699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.228765729 -0.382201522 +27697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.502403458 -0.382201522 +27700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.089307382 -0.382201522 +27701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.678397784 -0.382201522 +27702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.796011636 -0.382201522 +27703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.839147794 -0.382201522 +27704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.802775316 -0.382201522 +27707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.022608602 -0.382201522 +27708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.464716395 -0.382201522 +27705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.740118728 -0.382201522 +27710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.222965503 -0.382201522 +27706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.137566978 -0.382201522 +27712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.533522531 -0.382201522 +27711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.369765075 -0.382201522 +27709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.448524852 -0.382201522 +27713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.469328481 -0.382201522 +27715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.097317924 -0.382201522 +27716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.494638233 -0.382201522 +27717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.704761782 -0.382201522 +27714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.232212154 -0.382201522 +27719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.536413823 -0.382201522 +27718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.506527716 -0.382201522 +27720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.300850749 -0.382201522 +27722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.251523221 -0.382201522 +27721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.053406079 -0.382201522 +27723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.525747462 -0.382201522 +27725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.703603899 -0.382201522 +27724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.149340311 -0.382201522 +27727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.560023514 -0.382201522 +27726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.165233352 -0.382201522 +27729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.697625588 -0.382201522 +27730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.340632561 -0.382201522 +27728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.550460011 -0.382201522 +27731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.675587697 -0.382201522 +27733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.586930384 -0.382201522 +27735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.7149514 -0.382201522 +27734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.440513229 -0.382201522 +27732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.310149388 -0.382201522 +27736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.416920089 -0.382201522 +27739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.311530713 -0.382201522 +27737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.595056859 -0.382201522 +27738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.833052424 -0.382201522 +27740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.112950414 -0.382201522 +27741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.334463001 -0.382201522 +27742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.243871891 -0.382201522 +27743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.175667354 -0.382201522 +27744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.708840919 -0.382201522 +27746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.382923872 -0.382201522 +27747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.454908218 -0.382201522 +27745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.711932592 -0.382201522 +27749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.333353568 -0.382201522 +27751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.72226075 -0.382201522 +27748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.618632243 -0.382201522 +27750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.790803984 -0.382201522 +27752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.013472526 -0.382201522 +27753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.29121664 -0.382201522 +27754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.399323784 -0.382201522 +27755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.673259821 -0.382201522 +27756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.424628105 -0.382201522 +27758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.760667305 -0.382201522 +27757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.316162591 -0.382201522 +27760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.099033634 -0.382201522 +27759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.596810067 -0.382201522 +27762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.45039694 -0.382201522 +27761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.018217179 -0.382201522 +27763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.646883683 -0.382201522 +27764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.545993297 -0.382201522 +27765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.342751737 -0.382201522 +27766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.672684982 -0.382201522 +27767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.648674445 -0.382201522 +27769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.009149408 -0.382201522 +27770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.420062918 -0.382201522 +27771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.595996011 -0.382201522 +27768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.580423879 -0.382201522 +27774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.324603311 -0.382201522 +27772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.438796677 -0.382201522 +27775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.359238097 -0.382201522 +27773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.532408342 -0.382201522 +27776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.176156821 -0.382201522 +27777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.102949076 -0.382201522 +27778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.700262762 -0.382201522 +27780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.236334977 -0.382201522 +27781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.205378982 -0.382201522 +27782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.265707842 -0.382201522 +27783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.537010613 -0.382201522 +27779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.045090604 -0.382201522 +27784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.173766973 -0.382201522 +27785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.750715923 -0.382201522 +27786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.419290645 -0.382201522 +27787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.002884934 -0.382201522 +27788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.420631909 -0.382201522 +27789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.579366281 -0.382201522 +27790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.441427267 -0.382201522 +27792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.454005276 -0.382201522 +27791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.423731311 -0.382201522 +27793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.517220238 -0.382201522 +27794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.036790111 -0.382201522 +27796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.664336316 -0.382201522 +27795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.697670701 -0.382201522 +27797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.041585482 -0.382201522 +27798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.323838076 -0.382201522 +27801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.085871638 -0.382201522 +27799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.262157234 -0.382201522 +27800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.646088329 -0.382201522 +27803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.808452416 -0.382201522 +27804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.52355936 -0.382201522 +27802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.477414483 -0.382201522 +27806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.030681309 -0.382201522 +27805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.692028021 -0.382201522 +27807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.501550572 -0.382201522 +27808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.237022722 -0.382201522 +27809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.193993517 -0.382201522 +27810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.438281576 -0.382201522 +27811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.600952611 -0.382201522 +27812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.266624437 -0.382201522 +27814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.696193477 -0.382201522 +27813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.220519631 -0.382201522 +27816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.004716822 -0.382201522 +27815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.567030796 -0.382201522 +27818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.583772533 -0.382201522 +27817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.093524344 -0.382201522 +27820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.585180105 -0.382201522 +27819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.059312729 -0.382201522 +27821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.134355611 -0.382201522 +27822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.474477303 -0.382201522 +27823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.412053576 -0.382201522 +27824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.864798564 -0.382201522 +27825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.339392811 -0.382201522 +27828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.557629416 -0.382201522 +27826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.326544121 -0.382201522 +27827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.90928427 -0.382201522 +27829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.501399523 -0.382201522 +27830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.14215679 -0.382201522 +27831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.430934372 -0.382201522 +27832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.477538089 -0.382201522 +27833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.703235789 -0.382201522 +27834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.039519056 -0.382201522 +27836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.464265751 -0.382201522 +27837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.779916388 -0.382201522 +27835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.390287121 -0.382201522 +27838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.434852915 -0.382201522 +27839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.255815763 -0.382201522 +27840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.60026866 -0.382201522 +27841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.239900441 -0.382201522 +27842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.129941336 -0.382201522 +27844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.100100988 -0.382201522 +27845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.202061911 -0.382201522 +27846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.83647842 -0.382201522 +27847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.534785197 -0.382201522 +27848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.490567517 -0.382201522 +27843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.521043334 -0.382201522 +27849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -2.12E-04 -0.382201522 +27850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.213669212 -0.382201522 +27851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.032955156 -0.382201522 +27852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.814854062 -0.382201522 +27854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.466379438 -0.382201522 +27853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.427238255 -0.382201522 +27855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.493461296 -0.382201522 +27856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.472397647 -0.382201522 +27857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.424550013 -0.382201522 +27858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.018835441 -0.382201522 +27859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.313049193 -0.382201522 +27861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.691079285 -0.382201522 +27860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.620591242 -0.382201522 +27864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.338329966 -0.382201522 +27863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.833978835 -0.382201522 +27862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.092340435 -0.382201522 +27865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.23314483 -0.382201522 +27866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.04743048 -0.382201522 +27867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.429076936 -0.382201522 +27868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.055562675 -0.382201522 +27869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.409402486 -0.382201522 +27870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.514456114 -0.382201522 +27871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.820937747 -0.382201522 +27872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.412580873 -0.382201522 +27873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.067709713 -0.382201522 +27875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.348003768 -0.382201522 +27876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.094843866 -0.382201522 +27874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.547635923 -0.382201522 +27877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.670361646 -0.382201522 +27878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.12404015 -0.382201522 +27879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.458406457 -0.382201522 +27881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.465539618 -0.382201522 +27882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.02747882 -0.382201522 +27884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.627962979 -0.382201522 +27883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.131570052 -0.382201522 +27885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.476931257 -0.382201522 +27880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.151447702 -0.382201522 +27886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.648643912 -0.382201522 +27887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.449040111 -0.382201522 +27889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.282891449 -0.382201522 +27890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.759084619 -0.382201522 +27888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.641241066 -0.382201522 +27891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.677777152 -0.382201522 +27892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.675457243 -0.382201522 +27894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.114675504 -0.382201522 +27893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.543527038 -0.382201522 +27895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.729482515 -0.382201522 +27896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 7.03E-04 -0.382201522 +27897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.431843726 -0.382201522 +27898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.77398645 -0.382201522 +27899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.243023854 -0.382201522 +27900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.614192881 -0.382201522 +27901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.317569834 -0.382201522 +27903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.680322793 -0.382201522 +27902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.704291991 -0.382201522 +27905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.609249913 -0.382201522 +27904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.457371798 -0.382201522 +27907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.299470914 -0.382201522 +27906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.111327509 -0.382201522 +27908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.441756768 -0.382201522 +27909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.237128861 -0.382201522 +27910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.05302326 -0.382201522 +27911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.170349147 -0.382201522 +27916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.458422843 -0.382201522 +27913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.047135474 -0.382201522 +27914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.015264851 -0.382201522 +27915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.773862405 -0.382201522 +27912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.71471796 -0.382201522 +27917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.522221066 -0.382201522 +27921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.309340206 -0.382201522 +27923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.343683862 -0.382201522 +27922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.286051077 -0.382201522 +27918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.099387921 -0.382201522 +27924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.63705828 -0.382201522 +27920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.328222573 -0.382201522 +27925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.583161535 -0.382201522 +27919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.728734282 -0.382201522 +27926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.612177237 -0.382201522 +27929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.366669697 -0.382201522 +27928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.103618639 -0.382201522 +27932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.035634476 -0.382201522 +27931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.713321234 -0.382201522 +27927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.235382061 -0.382201522 +27930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.466085104 -0.382201522 +27934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.75655168 -0.382201522 +27933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.632064183 -0.382201522 +27939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.596500952 -0.382201522 +27936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.331509549 -0.382201522 +27938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.285489679 -0.382201522 +27935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.488433317 -0.382201522 +27940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.275785382 -0.382201522 +27937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.577359321 -0.382201522 +27941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.274859559 -0.382201522 +27942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.341197771 -0.382201522 +27944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.460328822 -0.382201522 +27943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.042338587 -0.382201522 +27946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.382826195 -0.382201522 +27945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.436118774 -0.382201522 +27947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.162353393 -0.382201522 +27948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.691799853 -0.382201522 +27949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.243952464 -0.382201522 +27950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.014219772 -0.382201522 +27953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.045099637 -0.382201522 +27952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.048859753 -0.382201522 +27951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.653069665 -0.382201522 +27956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.01269041 -0.382201522 +27954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.204841019 -0.382201522 +27957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.626041026 -0.382201522 +27955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.312034662 -0.382201522 +27958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.571268213 -0.382201522 +27961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.034217374 -0.382201522 +27959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.108549726 -0.382201522 +27960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.08709371 -0.382201522 +27963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.521550654 -0.382201522 +27962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.447304678 -0.382201522 +27964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.532687826 -0.382201522 +27965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.435099063 -0.382201522 +27968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.58505846 -0.382201522 +27967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.376224994 -0.382201522 +27969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.056191105 -0.382201522 +27966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.465334662 -0.382201522 +27971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.38893841 -0.382201522 +27970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.43470751 -0.382201522 +27972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.795295057 -0.382201522 +27973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.4291631 -0.382201522 +27974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.169379705 -0.382201522 +27976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.270359511 -0.382201522 +27975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.561717175 -0.382201522 +27977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.589845384 -0.382201522 +27978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.082340842 -0.382201522 +27979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.505444637 -0.382201522 +27980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.503132856 -0.382201522 +27981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.786076188 -0.382201522 +27982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.092742866 -0.382201522 +27983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.211549649 -0.382201522 +27984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.19972063 -0.382201522 +27986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.05869331 -0.382201522 +27987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.376135199 -0.382201522 +27985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.558207318 -0.382201522 +27988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.63272573 -0.382201522 +27989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 0.016414015 -0.382201522 +27990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.462057054 -0.382201522 +27991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.332223517 -0.382201522 +27992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.23653889 -0.382201522 +27993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.486013221 -0.382201522 +27994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.339398396 -0.382201522 +27995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.19364624 -0.382201522 +27996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.850832473 -0.382201522 +27997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.190895493 -0.382201522 +27999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.637707407 -0.382201522 +28000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.27382477 -0.382201522 +27998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.35 10 1 -0.10284667 -0.382201522 +28001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.210589665 -0.383158746 +28002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.027044354 -0.383158746 +28004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.466970241 -0.383158746 +28005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.781526141 -0.383158746 +28006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.02896156 -0.383158746 +28003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.323362705 -0.383158746 +28007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.499771835 -0.383158746 +28008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.053939188 -0.383158746 +28009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.567508658 -0.383158746 +28012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.644439991 -0.383158746 +28011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.222994722 -0.383158746 +28010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.041586269 -0.383158746 +28013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.397924566 -0.383158746 +28016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.768386995 -0.383158746 +28014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.569705341 -0.383158746 +28015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.00309895 -0.383158746 +28017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.578473424 -0.383158746 +28019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.698190797 -0.383158746 +28018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.832006469 -0.383158746 +28020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.511624798 -0.383158746 +28022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.798620304 -0.383158746 +28023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.427848781 -0.383158746 +28021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.077291207 -0.383158746 +28024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.141599993 -0.383158746 +28025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.375158431 -0.383158746 +28027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.5776309 -0.383158746 +28026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.414752363 -0.383158746 +28028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.644596338 -0.383158746 +28031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.523002389 -0.383158746 +28029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.428918516 -0.383158746 +28032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.328742136 -0.383158746 +28030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.215808766 -0.383158746 +28033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.047227575 -0.383158746 +28035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.04604959 -0.383158746 +28036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.528792775 -0.383158746 +28034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.192223002 -0.383158746 +28037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.761282577 -0.383158746 +28039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.279433419 -0.383158746 +28038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.309421649 -0.383158746 +28041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.046135316 -0.383158746 +28040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.068658502 -0.383158746 +28043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.778627133 -0.383158746 +28044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.535601334 -0.383158746 +28042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.340400254 -0.383158746 +28045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.639181525 -0.383158746 +28046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.653474336 -0.383158746 +28047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.129414785 -0.383158746 +28048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.46531007 -0.383158746 +28050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.580431791 -0.383158746 +28049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.538885253 -0.383158746 +28051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.371707251 -0.383158746 +28052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.32087774 -0.383158746 +28054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.338934123 -0.383158746 +28053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.076377153 -0.383158746 +28055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.761918038 -0.383158746 +28056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.023706701 -0.383158746 +28057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.670988956 -0.383158746 +28060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.327814666 -0.383158746 +28058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.752567361 -0.383158746 +28061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.268851516 -0.383158746 +28059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.017811831 -0.383158746 +28062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.166941229 -0.383158746 +28063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.480513697 -0.383158746 +28064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.678210208 -0.383158746 +28065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.050102107 -0.383158746 +28066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.42728003 -0.383158746 +28069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.414078703 -0.383158746 +28068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.068485024 -0.383158746 +28070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.585520181 -0.383158746 +28071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.242905924 -0.383158746 +28067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.051354697 -0.383158746 +28072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.131298518 -0.383158746 +28073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.174511079 -0.383158746 +28074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.128869776 -0.383158746 +28076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.09827934 -0.383158746 +28075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.499786937 -0.383158746 +28077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.401650982 -0.383158746 +28078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.079773666 -0.383158746 +28079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.535877675 -0.383158746 +28081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.615580791 -0.383158746 +28082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.022967885 -0.383158746 +28080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.387695898 -0.383158746 +28083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.012626168 -0.383158746 +28084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.018271803 -0.383158746 +28085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.598777357 -0.383158746 +28086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.552702138 -0.383158746 +28087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.029950243 -0.383158746 +28090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.833155728 -0.383158746 +28089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.082314227 -0.383158746 +28091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.147273359 -0.383158746 +28093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.298924711 -0.383158746 +28092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.327595409 -0.383158746 +28088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.400845032 -0.383158746 +28094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.229366362 -0.383158746 +28095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.133196372 -0.383158746 +28096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.025695394 -0.383158746 +28097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.165606055 -0.383158746 +28098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.007652789 -0.383158746 +28099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.593030386 -0.383158746 +28101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.42787534 -0.383158746 +28100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.68062638 -0.383158746 +28102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.659577116 -0.383158746 +28104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.079327235 -0.383158746 +28105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.604611889 -0.383158746 +28107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.067582136 -0.383158746 +28106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.164448619 -0.383158746 +28103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.604080254 -0.383158746 +28109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.099290096 -0.383158746 +28110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.350727046 -0.383158746 +28108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.626686875 -0.383158746 +28111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.001807172 -0.383158746 +28112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.251094484 -0.383158746 +28114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.443875774 -0.383158746 +28113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.251004329 -0.383158746 +28118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.283116607 -0.383158746 +28117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.09246572 -0.383158746 +28116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.667940817 -0.383158746 +28115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.504600708 -0.383158746 +28119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.652056854 -0.383158746 +28120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.579641189 -0.383158746 +28121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.653498575 -0.383158746 +28122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.714580509 -0.383158746 +28123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.441701151 -0.383158746 +28124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.342772876 -0.383158746 +28125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.517592098 -0.383158746 +28126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.201741106 -0.383158746 +28128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.72244686 -0.383158746 +28127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.364520462 -0.383158746 +28129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.682913287 -0.383158746 +28130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.758141757 -0.383158746 +28131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.57493637 -0.383158746 +28132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.695666901 -0.383158746 +28133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.040869754 -0.383158746 +28135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.596130074 -0.383158746 +28136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.41551996 -0.383158746 +28134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.871528133 -0.383158746 +28137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.340637287 -0.383158746 +28138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.007329095 -0.383158746 +28139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.177515243 -0.383158746 +28140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.590902549 -0.383158746 +28143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.029862122 -0.383158746 +28141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.198989176 -0.383158746 +28142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.103269144 -0.383158746 +28144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.232466487 -0.383158746 +28145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.379544841 -0.383158746 +28146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.06290272 -0.383158746 +28148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.1634694 -0.383158746 +28147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.265100083 -0.383158746 +28149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.019914179 -0.383158746 +28150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.022623442 -0.383158746 +28151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.092967294 -0.383158746 +28152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.127514717 -0.383158746 +28153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.1296611 -0.383158746 +28154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.75562427 -0.383158746 +28156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.883167072 -0.383158746 +28155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.62607473 -0.383158746 +28157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.31905551 -0.383158746 +28159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.31188493 -0.383158746 +28158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.789279658 -0.383158746 +28161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.142243364 -0.383158746 +28160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.310394208 -0.383158746 +28162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.712556858 -0.383158746 +28163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.447091562 -0.383158746 +28165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.646169027 -0.383158746 +28164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.647671186 -0.383158746 +28166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.231183412 -0.383158746 +28167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.672138202 -0.383158746 +28168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.180385637 -0.383158746 +28170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.501259939 -0.383158746 +28169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.148184582 -0.383158746 +28172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.342264644 -0.383158746 +28173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.068246526 -0.383158746 +28175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.655303971 -0.383158746 +28171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.231073085 -0.383158746 +28176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.068932521 -0.383158746 +28174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.089801302 -0.383158746 +28177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.250279266 -0.383158746 +28178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.809615788 -0.383158746 +28179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.331686204 -0.383158746 +28180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.204768334 -0.383158746 +28182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.012317346 -0.383158746 +28183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.144800334 -0.383158746 +28181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.719636692 -0.383158746 +28184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.56148006 -0.383158746 +28185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.660678976 -0.383158746 +28186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.495320688 -0.383158746 +28187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.521367834 -0.383158746 +28188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.134327606 -0.383158746 +28189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.147198477 -0.383158746 +28190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.511239058 -0.383158746 +28191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.651642654 -0.383158746 +28192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.010681558 -0.383158746 +28193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.572367995 -0.383158746 +28195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.307796529 -0.383158746 +28194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.49491408 -0.383158746 +28197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.07638866 -0.383158746 +28198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.774652545 -0.383158746 +28196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.298571897 -0.383158746 +28199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -3.52E-04 -0.383158746 +28200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.073799143 -0.383158746 +28201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.474463618 -0.383158746 +28203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.010085671 -0.383158746 +28202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.806487746 -0.383158746 +28204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.054477984 -0.383158746 +28205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.761429933 -0.383158746 +28206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.773899819 -0.383158746 +28207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.36315523 -0.383158746 +28208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.02188624 -0.383158746 +28210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.837293235 -0.383158746 +28211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.449226058 -0.383158746 +28209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.622003951 -0.383158746 +28213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.70485179 -0.383158746 +28212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.183420181 -0.383158746 +28215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.531271774 -0.383158746 +28214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.558244766 -0.383158746 +28216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.423490746 -0.383158746 +28217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.049658536 -0.383158746 +28218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.062539747 -0.383158746 +28219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.697850704 -0.383158746 +28220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.261065313 -0.383158746 +28221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.073268403 -0.383158746 +28222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.511479722 -0.383158746 +28224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.393141455 -0.383158746 +28226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.681477415 -0.383158746 +28225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.210917149 -0.383158746 +28227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.425594132 -0.383158746 +28228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.676371265 -0.383158746 +28229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.600355762 -0.383158746 +28223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.596397783 -0.383158746 +28231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.219876477 -0.383158746 +28230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.515861129 -0.383158746 +28232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.588803632 -0.383158746 +28233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.397808203 -0.383158746 +28234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.5939618 -0.383158746 +28235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.818178575 -0.383158746 +28236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.506465877 -0.383158746 +28239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.131208074 -0.383158746 +28241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.636588798 -0.383158746 +28240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.690298901 -0.383158746 +28237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.226127929 -0.383158746 +28242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.237819726 -0.383158746 +28243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.835110852 -0.383158746 +28238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.333590067 -0.383158746 +28244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.57364433 -0.383158746 +28245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.766704277 -0.383158746 +28247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.434146263 -0.383158746 +28246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.721341365 -0.383158746 +28249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.609650184 -0.383158746 +28250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.062488457 -0.383158746 +28251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.184400151 -0.383158746 +28248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.001711606 -0.383158746 +28252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.639020083 -0.383158746 +28253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.614842428 -0.383158746 +28255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.677089314 -0.383158746 +28256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.432273874 -0.383158746 +28258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.502419125 -0.383158746 +28257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.041219244 -0.383158746 +28254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.216881351 -0.383158746 +28260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.268305758 -0.383158746 +28259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.030888426 -0.383158746 +28261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.721135816 -0.383158746 +28262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.63903728 -0.383158746 +28263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.651009392 -0.383158746 +28264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.050078705 -0.383158746 +28265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.320064558 -0.383158746 +28266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.196221216 -0.383158746 +28267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.708194955 -0.383158746 +28269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.488769279 -0.383158746 +28270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.001014484 -0.383158746 +28268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.124649803 -0.383158746 +28272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.668482454 -0.383158746 +28271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.380509431 -0.383158746 +28273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.545652589 -0.383158746 +28274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.077432804 -0.383158746 +28275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.244389325 -0.383158746 +28276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.656214241 -0.383158746 +28277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.549096292 -0.383158746 +28280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.552112402 -0.383158746 +28278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.259346478 -0.383158746 +28281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.274152952 -0.383158746 +28282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.557739962 -0.383158746 +28279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.009584649 -0.383158746 +28283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.31459353 -0.383158746 +28284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.467537793 -0.383158746 +28285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.100561393 -0.383158746 +28286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.489377745 -0.383158746 +28288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.796967802 -0.383158746 +28289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.372398673 -0.383158746 +28287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.755021503 -0.383158746 +28290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.574481646 -0.383158746 +28291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.263745895 -0.383158746 +28293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.121531868 -0.383158746 +28292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.790676928 -0.383158746 +28294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.574538443 -0.383158746 +28295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.606770318 -0.383158746 +28296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.028220809 -0.383158746 +28298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.048404815 -0.383158746 +28299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.379497825 -0.383158746 +28297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.546436295 -0.383158746 +28300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.5859511 -0.383158746 +28302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.683401357 -0.383158746 +28301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.692119141 -0.383158746 +28303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.506615573 -0.383158746 +28304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.715268459 -0.383158746 +28305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.112964514 -0.383158746 +28307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.432503642 -0.383158746 +28306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.604900709 -0.383158746 +28308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.413897312 -0.383158746 +28309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.512917926 -0.383158746 +28311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.700080161 -0.383158746 +28310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.676020231 -0.383158746 +28312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.743797933 -0.383158746 +28313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.446548815 -0.383158746 +28315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.22544566 -0.383158746 +28316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.781542903 -0.383158746 +28317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.588610896 -0.383158746 +28318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.585252891 -0.383158746 +28319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.155731299 -0.383158746 +28320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.212625608 -0.383158746 +28314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.06841264 -0.383158746 +28321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.281039545 -0.383158746 +28322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.835468174 -0.383158746 +28323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.168839655 -0.383158746 +28325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.055903254 -0.383158746 +28326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.572282977 -0.383158746 +28327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.144508435 -0.383158746 +28324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.488676104 -0.383158746 +28329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.033426696 -0.383158746 +28328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.764637733 -0.383158746 +28330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.173267319 -0.383158746 +28331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.545771386 -0.383158746 +28333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.870306867 -0.383158746 +28335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.081770389 -0.383158746 +28332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.495464209 -0.383158746 +28336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.675818411 -0.383158746 +28334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.354054419 -0.383158746 +28338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.589430191 -0.383158746 +28339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.326126108 -0.383158746 +28340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.372456039 -0.383158746 +28342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.733001886 -0.383158746 +28337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.027711035 -0.383158746 +28341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.382602756 -0.383158746 +28344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.271763088 -0.383158746 +28343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.720363018 -0.383158746 +28346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.343049336 -0.383158746 +28347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.309773218 -0.383158746 +28348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.106353027 -0.383158746 +28345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.632930603 -0.383158746 +28350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.180705539 -0.383158746 +28349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.49586655 -0.383158746 +28351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.442315008 -0.383158746 +28352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.134354262 -0.383158746 +28353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.776992465 -0.383158746 +28354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.684225991 -0.383158746 +28356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.51726288 -0.383158746 +28355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.784098013 -0.383158746 +28357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.651892088 -0.383158746 +28358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.491113956 -0.383158746 +28359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.023984556 -0.383158746 +28360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.875508757 -0.383158746 +28361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.137795981 -0.383158746 +28362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.637735098 -0.383158746 +28364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.422112108 -0.383158746 +28363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.196477992 -0.383158746 +28365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.562169847 -0.383158746 +28367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.524176634 -0.383158746 +28368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.677240756 -0.383158746 +28369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.57236297 -0.383158746 +28370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.250028839 -0.383158746 +28371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.848182343 -0.383158746 +28372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.080858784 -0.383158746 +28366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -8.45E-04 -0.383158746 +28373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.069733474 -0.383158746 +28375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.665960897 -0.383158746 +28374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.529976711 -0.383158746 +28376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.575393102 -0.383158746 +28377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.303252358 -0.383158746 +28378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.740043398 -0.383158746 +28379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.813625123 -0.383158746 +28381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.673263821 -0.383158746 +28380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.527828422 -0.383158746 +28382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.600669855 -0.383158746 +28384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.555139083 -0.383158746 +28383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.122304569 -0.383158746 +28385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.288936405 -0.383158746 +28386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.368044845 -0.383158746 +28388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.395547618 -0.383158746 +28387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.667742341 -0.383158746 +28390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.391637342 -0.383158746 +28391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.406065191 -0.383158746 +28393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.436533829 -0.383158746 +28392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.676250561 -0.383158746 +28389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.743195664 -0.383158746 +28394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.141267751 -0.383158746 +28395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.470899064 -0.383158746 +28396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.576533521 -0.383158746 +28397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.226532577 -0.383158746 +28398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.134979737 -0.383158746 +28399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.090529026 -0.383158746 +28400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.771597645 -0.383158746 +28401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.884746907 -0.383158746 +28402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.152497892 -0.383158746 +28403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.166120454 -0.383158746 +28404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.744148012 -0.383158746 +28405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.797520729 -0.383158746 +28406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.167434964 -0.383158746 +28407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.1185839 -0.383158746 +28408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.768502797 -0.383158746 +28409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.176728274 -0.383158746 +28412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.220086649 -0.383158746 +28413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.192500484 -0.383158746 +28410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.165823119 -0.383158746 +28411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.459023545 -0.383158746 +28415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.421453414 -0.383158746 +28414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.026832029 -0.383158746 +28417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.141546083 -0.383158746 +28416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.759103277 -0.383158746 +28418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.377623166 -0.383158746 +28419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.553565787 -0.383158746 +28420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.013885054 -0.383158746 +28422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.357108135 -0.383158746 +28421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.505756289 -0.383158746 +28423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.573351459 -0.383158746 +28425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.287915987 -0.383158746 +28424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.332877401 -0.383158746 +28426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.796377913 -0.383158746 +28427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.019045777 -0.383158746 +28428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.461180808 -0.383158746 +28429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.193565349 -0.383158746 +28432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.329983129 -0.383158746 +28431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.150749851 -0.383158746 +28433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.21687805 -0.383158746 +28430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.613696681 -0.383158746 +28434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.494749693 -0.383158746 +28435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.051999902 -0.383158746 +28436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.479647225 -0.383158746 +28437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.195618581 -0.383158746 +28438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.366852614 -0.383158746 +28439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.315640721 -0.383158746 +28440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.306258926 -0.383158746 +28441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.516930221 -0.383158746 +28442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.5102662 -0.383158746 +28443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.192210452 -0.383158746 +28444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.501411082 -0.383158746 +28445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.726683565 -0.383158746 +28447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.157830116 -0.383158746 +28446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.363771847 -0.383158746 +28448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.185136308 -0.383158746 +28450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.305451924 -0.383158746 +28451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.500776907 -0.383158746 +28452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.800416435 -0.383158746 +28449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.015189061 -0.383158746 +28456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.098515913 -0.383158746 +28454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.170643935 -0.383158746 +28453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.358297672 -0.383158746 +28455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.244466342 -0.383158746 +28457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.687392579 -0.383158746 +28459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.598876065 -0.383158746 +28462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.137662754 -0.383158746 +28461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.379802264 -0.383158746 +28464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.558073263 -0.383158746 +28463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.262474575 -0.383158746 +28460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.655146345 -0.383158746 +28458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.728776573 -0.383158746 +28465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.623368867 -0.383158746 +28466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.649404636 -0.383158746 +28467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.741629751 -0.383158746 +28468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.554721195 -0.383158746 +28470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.606946126 -0.383158746 +28472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.164441093 -0.383158746 +28469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.44640316 -0.383158746 +28473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.033509232 -0.383158746 +28471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.575874205 -0.383158746 +28474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.239629843 -0.383158746 +28475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.324460414 -0.383158746 +28476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.09036735 -0.383158746 +28477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.245697959 -0.383158746 +28479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.025306292 -0.383158746 +28478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.219172393 -0.383158746 +28480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.833079863 -0.383158746 +28481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.001529939 -0.383158746 +28482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.248172522 -0.383158746 +28483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.394431169 -0.383158746 +28485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.138904915 -0.383158746 +28486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.619187173 -0.383158746 +28484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.599958191 -0.383158746 +28487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.490234334 -0.383158746 +28488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.266945475 -0.383158746 +28490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.432630024 -0.383158746 +28491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.176636411 -0.383158746 +28492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.139107379 -0.383158746 +28494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.689008206 -0.383158746 +28495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.11223082 -0.383158746 +28493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.3989911 -0.383158746 +28489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.626488396 -0.383158746 +28496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.607718227 -0.383158746 +28497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.0079655 -0.383158746 +28499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.271408288 -0.383158746 +28498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.137728795 -0.383158746 +28500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.801426743 -0.383158746 +28502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.079107526 -0.383158746 +28501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.687733628 -0.383158746 +28503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.514655548 -0.383158746 +28505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.287968242 -0.383158746 +28504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.434291567 -0.383158746 +28506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.376551406 -0.383158746 +28507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.752381037 -0.383158746 +28508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.333318233 -0.383158746 +28509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.6566534 -0.383158746 +28510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.010822298 -0.383158746 +28513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.663258763 -0.383158746 +28512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.229308222 -0.383158746 +28514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.57996893 -0.383158746 +28515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.442399648 -0.383158746 +28511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.126728913 -0.383158746 +28516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.506986673 -0.383158746 +28517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.608043236 -0.383158746 +28518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.330229541 -0.383158746 +28520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.744595415 -0.383158746 +28519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.428355661 -0.383158746 +28521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.417562659 -0.383158746 +28522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.582596008 -0.383158746 +28523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.156520999 -0.383158746 +28525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.099957631 -0.383158746 +28524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.407751585 -0.383158746 +28526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.461179689 -0.383158746 +28528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.128969591 -0.383158746 +28527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.235903869 -0.383158746 +28529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.261654162 -0.383158746 +28530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.576053013 -0.383158746 +28533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.626027161 -0.383158746 +28532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.070741823 -0.383158746 +28534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.428165826 -0.383158746 +28535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.147886223 -0.383158746 +28536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.188637358 -0.383158746 +28531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.318451071 -0.383158746 +28537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.623225237 -0.383158746 +28538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.024534184 -0.383158746 +28539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.625383466 -0.383158746 +28540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.443313879 -0.383158746 +28543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.077151967 -0.383158746 +28541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.261864374 -0.383158746 +28542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.097593596 -0.383158746 +28545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.672983832 -0.383158746 +28546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.717656883 -0.383158746 +28544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.120366341 -0.383158746 +28548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.097178851 -0.383158746 +28547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.024661728 -0.383158746 +28549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.498053578 -0.383158746 +28550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.064383069 -0.383158746 +28553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.520254723 -0.383158746 +28551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.245125795 -0.383158746 +28552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.140774937 -0.383158746 +28554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.472460282 -0.383158746 +28555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.701532242 -0.383158746 +28556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.234441202 -0.383158746 +28557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.18895028 -0.383158746 +28558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.680997374 -0.383158746 +28559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.130988297 -0.383158746 +28560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.12445843 -0.383158746 +28561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.067382829 -0.383158746 +28563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.045511113 -0.383158746 +28562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.221156376 -0.383158746 +28566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.583653213 -0.383158746 +28564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.776559439 -0.383158746 +28565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.172147412 -0.383158746 +28567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.443981669 -0.383158746 +28568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.479627929 -0.383158746 +28569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.718764836 -0.383158746 +28570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.265062802 -0.383158746 +28572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.1010439 -0.383158746 +28571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.351572746 -0.383158746 +28573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.745381531 -0.383158746 +28575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.623923113 -0.383158746 +28574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.776506909 -0.383158746 +28576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.707143761 -0.383158746 +28577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.045284585 -0.383158746 +28578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.200793495 -0.383158746 +28581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.762575236 -0.383158746 +28583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.047533092 -0.383158746 +28579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.459321834 -0.383158746 +28582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.23013245 -0.383158746 +28584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.324737092 -0.383158746 +28580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.755254691 -0.383158746 +28585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.677302013 -0.383158746 +28586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.545293256 -0.383158746 +28587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.27627761 -0.383158746 +28589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.553446668 -0.383158746 +28588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.700887501 -0.383158746 +28591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.626970641 -0.383158746 +28590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.020218271 -0.383158746 +28592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.433392034 -0.383158746 +28593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.01976239 -0.383158746 +28595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.045154395 -0.383158746 +28594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.111790727 -0.383158746 +28597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.612827041 -0.383158746 +28596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.293600406 -0.383158746 +28598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.184655588 -0.383158746 +28599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.565553577 -0.383158746 +28601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.55373144 -0.383158746 +28600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.580038491 -0.383158746 +28602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.064291777 -0.383158746 +28605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.304142562 -0.383158746 +28604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.44621431 -0.383158746 +28606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.301556829 -0.383158746 +28603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.042852625 -0.383158746 +28607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.582253786 -0.383158746 +28608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.167815538 -0.383158746 +28609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.811680099 -0.383158746 +28610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.101231461 -0.383158746 +28611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.842253008 -0.383158746 +28612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.504590206 -0.383158746 +28613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.952995243 -0.383158746 +28614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.392126224 -0.383158746 +28615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.702806623 -0.383158746 +28616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.280762706 -0.383158746 +28618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.140250466 -0.383158746 +28619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.217037927 -0.383158746 +28617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.533286694 -0.383158746 +28621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.407074305 -0.383158746 +28622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.234314352 -0.383158746 +28620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.109170939 -0.383158746 +28623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.17570863 -0.383158746 +28624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.100035071 -0.383158746 +28626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.363997287 -0.383158746 +28625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.556737505 -0.383158746 +28628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.167095545 -0.383158746 +28629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.063605824 -0.383158746 +28630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.35585764 -0.383158746 +28631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.028892791 -0.383158746 +28632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.047874558 -0.383158746 +28627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.14384966 -0.383158746 +28634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.014384916 -0.383158746 +28635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.499325318 -0.383158746 +28637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.394989766 -0.383158746 +28636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.461440444 -0.383158746 +28638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.74965887 -0.383158746 +28633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.549400633 -0.383158746 +28640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.138309329 -0.383158746 +28639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.087921591 -0.383158746 +28641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.35867315 -0.383158746 +28642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.079170996 -0.383158746 +28643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.096065969 -0.383158746 +28644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.373984645 -0.383158746 +28646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.08456397 -0.383158746 +28645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.158565162 -0.383158746 +28648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.165560447 -0.383158746 +28649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.605153469 -0.383158746 +28650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.084390843 -0.383158746 +28651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.779064438 -0.383158746 +28653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.188792155 -0.383158746 +28652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.495188378 -0.383158746 +28654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.30893433 -0.383158746 +28647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.653638095 -0.383158746 +28657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.698267703 -0.383158746 +28658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.652831533 -0.383158746 +28656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.12808512 -0.383158746 +28660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.779641915 -0.383158746 +28655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.56112051 -0.383158746 +28659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.166795102 -0.383158746 +28661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.157127043 -0.383158746 +28664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.499837417 -0.383158746 +28663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.867596469 -0.383158746 +28665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.324120197 -0.383158746 +28666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.475894675 -0.383158746 +28662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.753803364 -0.383158746 +28667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.464007118 -0.383158746 +28668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.868205355 -0.383158746 +28669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.551321414 -0.383158746 +28671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.500116721 -0.383158746 +28670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.111000445 -0.383158746 +28672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.314267346 -0.383158746 +28673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.724490487 -0.383158746 +28675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.023699538 -0.383158746 +28676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.699811791 -0.383158746 +28674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.186721209 -0.383158746 +28677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.310009763 -0.383158746 +28678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.745218259 -0.383158746 +28679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.043072661 -0.383158746 +28681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.037584065 -0.383158746 +28680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.858591589 -0.383158746 +28683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.050429045 -0.383158746 +28682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.339360845 -0.383158746 +28684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.579422768 -0.383158746 +28685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.004851383 -0.383158746 +28687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.063932218 -0.383158746 +28686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.448000054 -0.383158746 +28688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.300864558 -0.383158746 +28689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.67962043 -0.383158746 +28690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.625162448 -0.383158746 +28691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.722140442 -0.383158746 +28693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.322823995 -0.383158746 +28692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.031017067 -0.383158746 +28694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.623076501 -0.383158746 +28695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.611962867 -0.383158746 +28697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.776486667 -0.383158746 +28696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.074107755 -0.383158746 +28699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.809848133 -0.383158746 +28698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.158454475 -0.383158746 +28700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.217324928 -0.383158746 +28701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.53947586 -0.383158746 +28702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.279686645 -0.383158746 +28704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.605948996 -0.383158746 +28705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.451924603 -0.383158746 +28703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.024456903 -0.383158746 +28706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.775212544 -0.383158746 +28707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.571665916 -0.383158746 +28708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.572599705 -0.383158746 +28710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.198310608 -0.383158746 +28709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.294873648 -0.383158746 +28712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.366073206 -0.383158746 +28711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.056343721 -0.383158746 +28713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.534027985 -0.383158746 +28714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.529799475 -0.383158746 +28715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.125017854 -0.383158746 +28716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.323070655 -0.383158746 +28717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.695239812 -0.383158746 +28719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.132676476 -0.383158746 +28720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.111303927 -0.383158746 +28718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.568779286 -0.383158746 +28721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.038956041 -0.383158746 +28723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.582822139 -0.383158746 +28722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.30671879 -0.383158746 +28725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.431901669 -0.383158746 +28724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.638119272 -0.383158746 +28726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.481625135 -0.383158746 +28727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.711960927 -0.383158746 +28729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.785854896 -0.383158746 +28730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.690953916 -0.383158746 +28731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.667638395 -0.383158746 +28728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.066513302 -0.383158746 +28732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.598650705 -0.383158746 +28734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.304090327 -0.383158746 +28735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.045921187 -0.383158746 +28737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.444657936 -0.383158746 +28736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.343032535 -0.383158746 +28733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.017088286 -0.383158746 +28738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.780700632 -0.383158746 +28740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.272232196 -0.383158746 +28741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.698906315 -0.383158746 +28739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.098863017 -0.383158746 +28742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.204428793 -0.383158746 +28743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.166895191 -0.383158746 +28744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.024041191 -0.383158746 +28745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.033868306 -0.383158746 +28747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.13846984 -0.383158746 +28746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.513007641 -0.383158746 +28748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.422558603 -0.383158746 +28749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.502547515 -0.383158746 +28750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.20144586 -0.383158746 +28752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.58136254 -0.383158746 +28753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.327978809 -0.383158746 +28751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.31401413 -0.383158746 +28754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.678804486 -0.383158746 +28755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.47215506 -0.383158746 +28756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.45355283 -0.383158746 +28758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.249398276 -0.383158746 +28757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.741179473 -0.383158746 +28760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.807744022 -0.383158746 +28759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.392037995 -0.383158746 +28762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.366054557 -0.383158746 +28761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.574709365 -0.383158746 +28764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.355461319 -0.383158746 +28765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.019733634 -0.383158746 +28763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.577705684 -0.383158746 +28767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.651633031 -0.383158746 +28768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.001453571 -0.383158746 +28766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.334173946 -0.383158746 +28770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.168256701 -0.383158746 +28769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.48468404 -0.383158746 +28771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.290000789 -0.383158746 +28772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.147255812 -0.383158746 +28773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.087238878 -0.383158746 +28774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.277973577 -0.383158746 +28775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.103642792 -0.383158746 +28776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.654688633 -0.383158746 +28778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.674363513 -0.383158746 +28777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.126035665 -0.383158746 +28779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.305119917 -0.383158746 +28780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.059102775 -0.383158746 +28782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.239047854 -0.383158746 +28783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.218989986 -0.383158746 +28781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.250672426 -0.383158746 +28785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.458121401 -0.383158746 +28787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.709941543 -0.383158746 +28784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.834657438 -0.383158746 +28786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.2467401 -0.383158746 +28788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.254676934 -0.383158746 +28791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.501866412 -0.383158746 +28790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.171567298 -0.383158746 +28792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.020384695 -0.383158746 +28793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.357315543 -0.383158746 +28789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.753654148 -0.383158746 +28795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.163076003 -0.383158746 +28796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.777839085 -0.383158746 +28797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.756845022 -0.383158746 +28798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.531310016 -0.383158746 +28794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.027309818 -0.383158746 +28799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.280221763 -0.383158746 +28800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.525308235 -0.383158746 +28801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.668960791 -0.383158746 +28802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.681010765 -0.383158746 +28803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.116665138 -0.383158746 +28805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.648251376 -0.383158746 +28807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.757228037 -0.383158746 +28806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.50675339 -0.383158746 +28804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.360828116 -0.383158746 +28808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.742240087 -0.383158746 +28810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.346182562 -0.383158746 +28809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.076925689 -0.383158746 +28811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.742374281 -0.383158746 +28812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.060874601 -0.383158746 +28813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.356330173 -0.383158746 +28815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.761954189 -0.383158746 +28816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.441018676 -0.383158746 +28818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.592397509 -0.383158746 +28819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.052348909 -0.383158746 +28817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.366420973 -0.383158746 +28814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.422379 -0.383158746 +28820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.509385834 -0.383158746 +28821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.610930489 -0.383158746 +28823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.104018841 -0.383158746 +28825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.21482618 -0.383158746 +28824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.470385856 -0.383158746 +28822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.264413032 -0.383158746 +28826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.400264495 -0.383158746 +28827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.170992139 -0.383158746 +28829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.743824944 -0.383158746 +28828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.708702107 -0.383158746 +28830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.636413948 -0.383158746 +28831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.030415156 -0.383158746 +28833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.761427235 -0.383158746 +28834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.581334209 -0.383158746 +28832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.817582135 -0.383158746 +28836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.45912337 -0.383158746 +28837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.677460881 -0.383158746 +28835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.822776627 -0.383158746 +28838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.436505674 -0.383158746 +28839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.222695981 -0.383158746 +28840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.254113131 -0.383158746 +28841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.727794105 -0.383158746 +28842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.063759921 -0.383158746 +28844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.010818811 -0.383158746 +28845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.528190953 -0.383158746 +28843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.117706847 -0.383158746 +28846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.108969344 -0.383158746 +28847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.716253054 -0.383158746 +28848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.734222772 -0.383158746 +28849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.046472506 -0.383158746 +28850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.426034706 -0.383158746 +28851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.453470711 -0.383158746 +28853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.007111121 -0.383158746 +28855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.504979618 -0.383158746 +28854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.723810201 -0.383158746 +28852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.471969204 -0.383158746 +28856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.34882727 -0.383158746 +28858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.299990431 -0.383158746 +28857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.103450062 -0.383158746 +28859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.499197381 -0.383158746 +28862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.119883654 -0.383158746 +28861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.156161501 -0.383158746 +28860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.268881204 -0.383158746 +28863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.065026786 -0.383158746 +28865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.638868486 -0.383158746 +28866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.324209645 -0.383158746 +28867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.003107996 -0.383158746 +28864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.725910771 -0.383158746 +28868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.477415649 -0.383158746 +28869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.388104273 -0.383158746 +28870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.377418109 -0.383158746 +28872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.775886164 -0.383158746 +28873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.303309788 -0.383158746 +28874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.669690832 -0.383158746 +28871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.202266145 -0.383158746 +28875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.80624805 -0.383158746 +28877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.032590803 -0.383158746 +28876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.044080985 -0.383158746 +28878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.150073071 -0.383158746 +28879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.085067455 -0.383158746 +28880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.537969804 -0.383158746 +28881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.249065437 -0.383158746 +28883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.751943212 -0.383158746 +28885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.633332407 -0.383158746 +28884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.326594893 -0.383158746 +28882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.349847322 -0.383158746 +28886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.151511802 -0.383158746 +28887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.132486649 -0.383158746 +28889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.721869555 -0.383158746 +28888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.035067711 -0.383158746 +28890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.599764968 -0.383158746 +28892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.716590576 -0.383158746 +28893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.448057083 -0.383158746 +28894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.093662346 -0.383158746 +28895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.063955929 -0.383158746 +28891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.222921202 -0.383158746 +28896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.229392758 -0.383158746 +28897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.762078779 -0.383158746 +28898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.108007933 -0.383158746 +28899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.512421751 -0.383158746 +28901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.761113328 -0.383158746 +28902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.56450288 -0.383158746 +28903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.311417653 -0.383158746 +28904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.581782312 -0.383158746 +28905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.138908612 -0.383158746 +28907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.599487685 -0.383158746 +28906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.266412965 -0.383158746 +28900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.127914849 -0.383158746 +28908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.266022747 -0.383158746 +28910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.451493637 -0.383158746 +28909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.120996924 -0.383158746 +28912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.140801458 -0.383158746 +28911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.075004785 -0.383158746 +28914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.548641733 -0.383158746 +28913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.363360743 -0.383158746 +28916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.339951974 -0.383158746 +28915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.686133471 -0.383158746 +28918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.101255483 -0.383158746 +28917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.566604273 -0.383158746 +28920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.515051969 -0.383158746 +28919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.747236232 -0.383158746 +28922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.058825001 -0.383158746 +28921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.180362937 -0.383158746 +28923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.315974267 -0.383158746 +28926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 2.17E-04 -0.383158746 +28925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.749186038 -0.383158746 +28924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.03530332 -0.383158746 +28927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.00782069 -0.383158746 +28928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.493352548 -0.383158746 +28929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.743360931 -0.383158746 +28930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.5546273 -0.383158746 +28931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.058988346 -0.383158746 +28932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.380113651 -0.383158746 +28933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.019184089 -0.383158746 +28934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.05708609 -0.383158746 +28936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.48194142 -0.383158746 +28935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.133942988 -0.383158746 +28937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.255327883 -0.383158746 +28938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.396143371 -0.383158746 +28939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.658287161 -0.383158746 +28940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.4361212 -0.383158746 +28941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.251150815 -0.383158746 +28943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.108850364 -0.383158746 +28944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.368638071 -0.383158746 +28945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.704586152 -0.383158746 +28942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.242801901 -0.383158746 +28946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.412067792 -0.383158746 +28947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.328862587 -0.383158746 +28948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.153531435 -0.383158746 +28949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.166761712 -0.383158746 +28950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.608530366 -0.383158746 +28952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.012739328 -0.383158746 +28954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.515390861 -0.383158746 +28955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.69512635 -0.383158746 +28951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.283587905 -0.383158746 +28956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.601386241 -0.383158746 +28953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.491478539 -0.383158746 +28957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.300694002 -0.383158746 +28958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.344017331 -0.383158746 +28959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.073803791 -0.383158746 +28960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.419664832 -0.383158746 +28961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.794567942 -0.383158746 +28962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.435493935 -0.383158746 +28963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.71438905 -0.383158746 +28965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.092219717 -0.383158746 +28964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.59358991 -0.383158746 +28966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.266569616 -0.383158746 +28967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.666171554 -0.383158746 +28968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.097916742 -0.383158746 +28969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.081423387 -0.383158746 +28971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.373531592 -0.383158746 +28970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.031801395 -0.383158746 +28973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.577718272 -0.383158746 +28972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.686086625 -0.383158746 +28975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.150177409 -0.383158746 +28974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.126046995 -0.383158746 +28976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.525721318 -0.383158746 +28978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.189620831 -0.383158746 +28977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.793311176 -0.383158746 +28981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.356836764 -0.383158746 +28980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.30152508 -0.383158746 +28982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.159008977 -0.383158746 +28983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.220750758 -0.383158746 +28979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.14802454 -0.383158746 +28985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.234253675 -0.383158746 +28986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.331415943 -0.383158746 +28984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.190282071 -0.383158746 +28987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.614080673 -0.383158746 +28989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.557073793 -0.383158746 +28988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.176705573 -0.383158746 +28990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.015393162 -0.383158746 +28991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.663041443 -0.383158746 +28994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.217222317 -0.383158746 +28992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.31017329 -0.383158746 +28993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.297514895 -0.383158746 +28996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.4172642 -0.383158746 +28995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.531440755 -0.383158746 +28998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.108329314 -0.383158746 +28999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.616165593 -0.383158746 +28997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 -0.624371664 -0.383158746 +29000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.4 10 1 0.064794518 -0.383158746 +29001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.704393662 -0.378751692 +29002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.025420939 -0.378751692 +29004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.319498627 -0.378751692 +29003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.509486823 -0.378751692 +29006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.692419731 -0.378751692 +29005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.269983945 -0.378751692 +29009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.728916953 -0.378751692 +29008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.429519192 -0.378751692 +29007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.206859709 -0.378751692 +29010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.205703918 -0.378751692 +29012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.198225987 -0.378751692 +29011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.199200372 -0.378751692 +29014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.796464571 -0.378751692 +29013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.081272997 -0.378751692 +29016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.358772415 -0.378751692 +29015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.339138907 -0.378751692 +29017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.19208837 -0.378751692 +29019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.619764451 -0.378751692 +29018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.117849288 -0.378751692 +29020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.36154608 -0.378751692 +29021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.721876082 -0.378751692 +29022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.632136938 -0.378751692 +29023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.039716557 -0.378751692 +29024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.454322766 -0.378751692 +29025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.637728386 -0.378751692 +29026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.553303354 -0.378751692 +29027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.193281743 -0.378751692 +29030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.744294738 -0.378751692 +29029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.281419006 -0.378751692 +29032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.295541403 -0.378751692 +29031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.095656333 -0.378751692 +29033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.095100646 -0.378751692 +29028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.729949975 -0.378751692 +29034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.186981301 -0.378751692 +29035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.482789236 -0.378751692 +29039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.637336352 -0.378751692 +29037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.262854734 -0.378751692 +29038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.064762494 -0.378751692 +29036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.525300366 -0.378751692 +29041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.079650776 -0.378751692 +29040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.60144038 -0.378751692 +29042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.066282093 -0.378751692 +29043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.058654368 -0.378751692 +29044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.191619138 -0.378751692 +29046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.619678063 -0.378751692 +29045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.460112564 -0.378751692 +29047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.146301638 -0.378751692 +29049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.252835684 -0.378751692 +29050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.029012536 -0.378751692 +29051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.623324817 -0.378751692 +29048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.718723501 -0.378751692 +29054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.148912499 -0.378751692 +29055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.585341885 -0.378751692 +29053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.614812274 -0.378751692 +29052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.396680709 -0.378751692 +29056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.022043707 -0.378751692 +29058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.763972232 -0.378751692 +29057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.565135089 -0.378751692 +29059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.248833912 -0.378751692 +29062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.597494704 -0.378751692 +29060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.647107892 -0.378751692 +29061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.44166111 -0.378751692 +29063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.507583742 -0.378751692 +29065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.816710463 -0.378751692 +29064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.040710867 -0.378751692 +29069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.738095571 -0.378751692 +29068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.103498037 -0.378751692 +29070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.815012951 -0.378751692 +29066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.455247848 -0.378751692 +29071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.170394083 -0.378751692 +29067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.500409865 -0.378751692 +29072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.651700716 -0.378751692 +29073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.052284808 -0.378751692 +29074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.264528411 -0.378751692 +29077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.534533203 -0.378751692 +29075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.117736324 -0.378751692 +29078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.672255632 -0.378751692 +29076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.405128043 -0.378751692 +29079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.008088426 -0.378751692 +29080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.091116977 -0.378751692 +29081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.576563932 -0.378751692 +29082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.177588943 -0.378751692 +29084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.600409907 -0.378751692 +29085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.274726824 -0.378751692 +29086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.310787564 -0.378751692 +29083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.416501282 -0.378751692 +29087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.251161328 -0.378751692 +29088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.677176202 -0.378751692 +29089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.580390346 -0.378751692 +29091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.405255714 -0.378751692 +29092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.40228108 -0.378751692 +29093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.59132742 -0.378751692 +29090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.502377942 -0.378751692 +29094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.710273654 -0.378751692 +29095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.557586801 -0.378751692 +29096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.05456166 -0.378751692 +29097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.184730026 -0.378751692 +29098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.119008409 -0.378751692 +29099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.159511241 -0.378751692 +29100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.565327027 -0.378751692 +29101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.589740505 -0.378751692 +29102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.027128098 -0.378751692 +29103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.572725127 -0.378751692 +29104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.656201336 -0.378751692 +29106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.334798277 -0.378751692 +29108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.032606301 -0.378751692 +29105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.321825515 -0.378751692 +29109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.311706082 -0.378751692 +29107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.555371245 -0.378751692 +29110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.842727826 -0.378751692 +29113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.310163671 -0.378751692 +29112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.326884137 -0.378751692 +29111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.693750963 -0.378751692 +29115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.526265716 -0.378751692 +29114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.327984512 -0.378751692 +29116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.247730748 -0.378751692 +29117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.243081484 -0.378751692 +29118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.245240325 -0.378751692 +29119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.735257237 -0.378751692 +29120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.206841798 -0.378751692 +29121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.138879345 -0.378751692 +29124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.514733506 -0.378751692 +29123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.379297997 -0.378751692 +29122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.324126083 -0.378751692 +29125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.369007804 -0.378751692 +29126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.13465027 -0.378751692 +29127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.13977984 -0.378751692 +29128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.256633764 -0.378751692 +29131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.292713502 -0.378751692 +29132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.500308162 -0.378751692 +29133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.194890815 -0.378751692 +29134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.517836554 -0.378751692 +29130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.382984339 -0.378751692 +29129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.706873346 -0.378751692 +29135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.553705477 -0.378751692 +29136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.138871127 -0.378751692 +29137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.537992027 -0.378751692 +29138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.507266891 -0.378751692 +29139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.047378056 -0.378751692 +29140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.728274859 -0.378751692 +29141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.360789426 -0.378751692 +29144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.777774727 -0.378751692 +29145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.486792901 -0.378751692 +29143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.215787693 -0.378751692 +29147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.827738432 -0.378751692 +29142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.286637668 -0.378751692 +29146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.717699162 -0.378751692 +29148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.724092837 -0.378751692 +29149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.560284056 -0.378751692 +29150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.715424386 -0.378751692 +29152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -7.73E-06 -0.378751692 +29153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.458443476 -0.378751692 +29151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.274832116 -0.378751692 +29155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.6279807 -0.378751692 +29156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.121797242 -0.378751692 +29157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.851383048 -0.378751692 +29154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.363149242 -0.378751692 +29158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.16259399 -0.378751692 +29159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.124725681 -0.378751692 +29161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.115969514 -0.378751692 +29160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.432835933 -0.378751692 +29162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.344930259 -0.378751692 +29164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.37491379 -0.378751692 +29163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.393393021 -0.378751692 +29167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.131917167 -0.378751692 +29166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.609203477 -0.378751692 +29169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.43343357 -0.378751692 +29168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.291372531 -0.378751692 +29170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.484210606 -0.378751692 +29165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.547618289 -0.378751692 +29171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.277800083 -0.378751692 +29172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.122710754 -0.378751692 +29173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.797895365 -0.378751692 +29174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.752936991 -0.378751692 +29175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.285741613 -0.378751692 +29177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.283614201 -0.378751692 +29176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.255098326 -0.378751692 +29178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.512875708 -0.378751692 +29179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.679847195 -0.378751692 +29180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.596967109 -0.378751692 +29181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.617582536 -0.378751692 +29183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.464783069 -0.378751692 +29182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.690154101 -0.378751692 +29185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.077267913 -0.378751692 +29184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.262785051 -0.378751692 +29187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.556376699 -0.378751692 +29186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.544657437 -0.378751692 +29188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.534073766 -0.378751692 +29189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.767326462 -0.378751692 +29190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.580858341 -0.378751692 +29191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.080636632 -0.378751692 +29193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.225611245 -0.378751692 +29192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.45570728 -0.378751692 +29195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.538317932 -0.378751692 +29194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.72149043 -0.378751692 +29196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.439181779 -0.378751692 +29199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.227067237 -0.378751692 +29197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.716732381 -0.378751692 +29198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.371028492 -0.378751692 +29200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.743392284 -0.378751692 +29201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.319919104 -0.378751692 +29203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.285885875 -0.378751692 +29204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.244276639 -0.378751692 +29206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.775859556 -0.378751692 +29207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.121766363 -0.378751692 +29205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.211730995 -0.378751692 +29208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.544207707 -0.378751692 +29209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.092016661 -0.378751692 +29202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.259282096 -0.378751692 +29210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.079140746 -0.378751692 +29211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.754518379 -0.378751692 +29213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.305373756 -0.378751692 +29212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.599400176 -0.378751692 +29214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.264833478 -0.378751692 +29215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.432951044 -0.378751692 +29216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.342267124 -0.378751692 +29217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.461414078 -0.378751692 +29218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.563603755 -0.378751692 +29219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.239331621 -0.378751692 +29221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.001243013 -0.378751692 +29220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.139028565 -0.378751692 +29222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.173070075 -0.378751692 +29223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.476189274 -0.378751692 +29224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.203196276 -0.378751692 +29225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.065796572 -0.378751692 +29226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.509493572 -0.378751692 +29227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.579206986 -0.378751692 +29228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.821736945 -0.378751692 +29229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.067485842 -0.378751692 +29230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.569885748 -0.378751692 +29231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.38365213 -0.378751692 +29232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.594754291 -0.378751692 +29233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.223348682 -0.378751692 +29235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.070312334 -0.378751692 +29234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.031305927 -0.378751692 +29236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.017528295 -0.378751692 +29237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.796137256 -0.378751692 +29238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.438086724 -0.378751692 +29239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.344271334 -0.378751692 +29240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.062183305 -0.378751692 +29242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.479717798 -0.378751692 +29243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.395936916 -0.378751692 +29244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.750450068 -0.378751692 +29246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.347676947 -0.378751692 +29245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.13412967 -0.378751692 +29247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.038960013 -0.378751692 +29248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.0276022 -0.378751692 +29249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.687875084 -0.378751692 +29241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.002077321 -0.378751692 +29250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.771086663 -0.378751692 +29251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.024026462 -0.378751692 +29252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.280243021 -0.378751692 +29253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.632372319 -0.378751692 +29254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.526790121 -0.378751692 +29255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.562438346 -0.378751692 +29256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.218338974 -0.378751692 +29258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.640109204 -0.378751692 +29259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.224937339 -0.378751692 +29257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.72892944 -0.378751692 +29260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.276006205 -0.378751692 +29261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.632802209 -0.378751692 +29263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.524989642 -0.378751692 +29262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.195889294 -0.378751692 +29266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.568757263 -0.378751692 +29265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.54840432 -0.378751692 +29268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.65138075 -0.378751692 +29269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.168495171 -0.378751692 +29264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.097876762 -0.378751692 +29267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.791380475 -0.378751692 +29271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.063916422 -0.378751692 +29270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.065082962 -0.378751692 +29272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.243566788 -0.378751692 +29273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.550248132 -0.378751692 +29274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.072227373 -0.378751692 +29276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.649391027 -0.378751692 +29275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.211291849 -0.378751692 +29279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.07028017 -0.378751692 +29278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.702382793 -0.378751692 +29277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.012945174 -0.378751692 +29280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -2.76E-04 -0.378751692 +29281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.59563598 -0.378751692 +29282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.160663684 -0.378751692 +29283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.484209687 -0.378751692 +29284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.088305683 -0.378751692 +29285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.14703163 -0.378751692 +29287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.472014205 -0.378751692 +29286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.342930436 -0.378751692 +29288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.724309287 -0.378751692 +29289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.125404887 -0.378751692 +29290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.228436173 -0.378751692 +29292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.140851846 -0.378751692 +29291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.152705 -0.378751692 +29293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.79647384 -0.378751692 +29295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.523097416 -0.378751692 +29297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.520123683 -0.378751692 +29298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.11651422 -0.378751692 +29294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.077048486 -0.378751692 +29299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.710385938 -0.378751692 +29296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.672464448 -0.378751692 +29300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.238774474 -0.378751692 +29301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.310358756 -0.378751692 +29302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.476064467 -0.378751692 +29306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.770508823 -0.378751692 +29304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.345830354 -0.378751692 +29305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.816987635 -0.378751692 +29307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.065725652 -0.378751692 +29303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.226141626 -0.378751692 +29309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.672117452 -0.378751692 +29308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.024477 -0.378751692 +29310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.677987799 -0.378751692 +29311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.18735976 -0.378751692 +29312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.025941634 -0.378751692 +29315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.581837215 -0.378751692 +29314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.468936878 -0.378751692 +29316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.243579186 -0.378751692 +29317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.556504027 -0.378751692 +29313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.85731626 -0.378751692 +29319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.571870976 -0.378751692 +29318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.54900559 -0.378751692 +29320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.648645431 -0.378751692 +29321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.585467606 -0.378751692 +29322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -6.26E-04 -0.378751692 +29324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.155098843 -0.378751692 +29323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.256660456 -0.378751692 +29325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.805382511 -0.378751692 +29326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.137677978 -0.378751692 +29328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.682042976 -0.378751692 +29327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.02364164 -0.378751692 +29329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.025172381 -0.378751692 +29330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.458370691 -0.378751692 +29331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.588260934 -0.378751692 +29332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.252290921 -0.378751692 +29334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.020569599 -0.378751692 +29335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.779076863 -0.378751692 +29337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.275359644 -0.378751692 +29336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.455380682 -0.378751692 +29338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.173317718 -0.378751692 +29339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.353465844 -0.378751692 +29333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.03359734 -0.378751692 +29340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.738202959 -0.378751692 +29341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.037419963 -0.378751692 +29343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.192806455 -0.378751692 +29342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.30427539 -0.378751692 +29345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.27766328 -0.378751692 +29344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.11506886 -0.378751692 +29347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.448031302 -0.378751692 +29346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.288111138 -0.378751692 +29350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.058877324 -0.378751692 +29349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.705192519 -0.378751692 +29351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.583115202 -0.378751692 +29352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.220610448 -0.378751692 +29348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.390670656 -0.378751692 +29353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.326344164 -0.378751692 +29355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.178123039 -0.378751692 +29356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.184800939 -0.378751692 +29357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.070027256 -0.378751692 +29359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.302812298 -0.378751692 +29360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.041464258 -0.378751692 +29354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.055449414 -0.378751692 +29358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.186955337 -0.378751692 +29361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.437262675 -0.378751692 +29362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.174369819 -0.378751692 +29363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.32690054 -0.378751692 +29365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.493093141 -0.378751692 +29368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.108938397 -0.378751692 +29366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.574602607 -0.378751692 +29364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.361789553 -0.378751692 +29367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.254026526 -0.378751692 +29369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.686594359 -0.378751692 +29370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.550108743 -0.378751692 +29371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.024101281 -0.378751692 +29372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.768592371 -0.378751692 +29373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.389537135 -0.378751692 +29374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.022354181 -0.378751692 +29375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.662429697 -0.378751692 +29377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.375089462 -0.378751692 +29378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.707128957 -0.378751692 +29376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.161432036 -0.378751692 +29379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.068556212 -0.378751692 +29380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.890597684 -0.378751692 +29382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.226649304 -0.378751692 +29381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.253339755 -0.378751692 +29383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.548603696 -0.378751692 +29384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.497125483 -0.378751692 +29385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.620063834 -0.378751692 +29386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.207671343 -0.378751692 +29387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.703766966 -0.378751692 +29388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.380488943 -0.378751692 +29390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.460390506 -0.378751692 +29391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.238403597 -0.378751692 +29389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.57086633 -0.378751692 +29392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.409597148 -0.378751692 +29393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.439816281 -0.378751692 +29395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.705767406 -0.378751692 +29396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.348714061 -0.378751692 +29397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.023170284 -0.378751692 +29398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.15159647 -0.378751692 +29394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.554563092 -0.378751692 +29399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.003456065 -0.378751692 +29400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.190703215 -0.378751692 +29401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.716618675 -0.378751692 +29402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.224622714 -0.378751692 +29404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.323100147 -0.378751692 +29403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.719875537 -0.378751692 +29405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.258201018 -0.378751692 +29406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.11659099 -0.378751692 +29407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.581724699 -0.378751692 +29408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.688435752 -0.378751692 +29410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.748247751 -0.378751692 +29412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.580531522 -0.378751692 +29409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.006796608 -0.378751692 +29411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.643548871 -0.378751692 +29413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.647309875 -0.378751692 +29414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.062792464 -0.378751692 +29416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.130681625 -0.378751692 +29415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.642868752 -0.378751692 +29417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.808816695 -0.378751692 +29418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.367174188 -0.378751692 +29419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.299888409 -0.378751692 +29420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.05982067 -0.378751692 +29421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.343247583 -0.378751692 +29423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.04818239 -0.378751692 +29424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.117768503 -0.378751692 +29422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.50051834 -0.378751692 +29425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.753631548 -0.378751692 +29426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.571242513 -0.378751692 +29428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.617863631 -0.378751692 +29427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.668551922 -0.378751692 +29429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.182290453 -0.378751692 +29430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.431439801 -0.378751692 +29433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.885404158 -0.378751692 +29434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.742938685 -0.378751692 +29435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.800123663 -0.378751692 +29436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.002580479 -0.378751692 +29431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.692482664 -0.378751692 +29437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.264203577 -0.378751692 +29432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.207644503 -0.378751692 +29438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.169010576 -0.378751692 +29439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.319819486 -0.378751692 +29440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.087393117 -0.378751692 +29441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.657307746 -0.378751692 +29442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.487441841 -0.378751692 +29443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.428223334 -0.378751692 +29444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.795229942 -0.378751692 +29446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.543871053 -0.378751692 +29445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.198114284 -0.378751692 +29447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.711044493 -0.378751692 +29448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.836019036 -0.378751692 +29449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.736067333 -0.378751692 +29450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.020879906 -0.378751692 +29451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.251296478 -0.378751692 +29452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.125545143 -0.378751692 +29453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.836490338 -0.378751692 +29456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.697025315 -0.378751692 +29455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.458751267 -0.378751692 +29457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.27088609 -0.378751692 +29454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.451204235 -0.378751692 +29458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.180359315 -0.378751692 +29459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.229179111 -0.378751692 +29460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.037365523 -0.378751692 +29462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.541877854 -0.378751692 +29463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.377502031 -0.378751692 +29464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.002118203 -0.378751692 +29461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.091235728 -0.378751692 +29466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.644129541 -0.378751692 +29465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.344206264 -0.378751692 +29468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.02736019 -0.378751692 +29469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.619393859 -0.378751692 +29467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.528498769 -0.378751692 +29471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.414978735 -0.378751692 +29470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.026367368 -0.378751692 +29472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.382835624 -0.378751692 +29473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.156775555 -0.378751692 +29475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.45885223 -0.378751692 +29474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.120025349 -0.378751692 +29476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.021019923 -0.378751692 +29477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.033752217 -0.378751692 +29478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.128484838 -0.378751692 +29479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.595871449 -0.378751692 +29481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.165739405 -0.378751692 +29480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.04972679 -0.378751692 +29482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.219100291 -0.378751692 +29484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.429873813 -0.378751692 +29486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.742301177 -0.378751692 +29487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.162154752 -0.378751692 +29483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.799864768 -0.378751692 +29485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.434098207 -0.378751692 +29490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.450955435 -0.378751692 +29489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.046700789 -0.378751692 +29488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.115217004 -0.378751692 +29492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.249844922 -0.378751692 +29493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.4410157 -0.378751692 +29491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.309063257 -0.378751692 +29495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.294826293 -0.378751692 +29496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.702855997 -0.378751692 +29497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.847156485 -0.378751692 +29494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.56497853 -0.378751692 +29498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.778093866 -0.378751692 +29500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.467365982 -0.378751692 +29501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.185347562 -0.378751692 +29502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.119290881 -0.378751692 +29499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.382868415 -0.378751692 +29503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.7095279 -0.378751692 +29506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.036210941 -0.378751692 +29504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.165607719 -0.378751692 +29505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.010822176 -0.378751692 +29507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.274050401 -0.378751692 +29508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.389158658 -0.378751692 +29510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.386628834 -0.378751692 +29509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.282732507 -0.378751692 +29511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.223720809 -0.378751692 +29513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.753632477 -0.378751692 +29512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.744712513 -0.378751692 +29515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.645579063 -0.378751692 +29516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.724556355 -0.378751692 +29518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.140286542 -0.378751692 +29517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.473155191 -0.378751692 +29519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.463698803 -0.378751692 +29514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.024226351 -0.378751692 +29520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.393095883 -0.378751692 +29521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.717770142 -0.378751692 +29522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.237059315 -0.378751692 +29523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.076334339 -0.378751692 +29525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.440909231 -0.378751692 +29526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.274043327 -0.378751692 +29524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.332683863 -0.378751692 +29527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.317534493 -0.378751692 +29528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.400125974 -0.378751692 +29530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.001174531 -0.378751692 +29531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.089486647 -0.378751692 +29529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.015925505 -0.378751692 +29532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.415747063 -0.378751692 +29533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.256921098 -0.378751692 +29534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.205697276 -0.378751692 +29536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.492576108 -0.378751692 +29537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.174280712 -0.378751692 +29538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.177444928 -0.378751692 +29535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.150559399 -0.378751692 +29539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.502014279 -0.378751692 +29540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.379787645 -0.378751692 +29541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.32345987 -0.378751692 +29542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.658552292 -0.378751692 +29544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.759678815 -0.378751692 +29543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.12297682 -0.378751692 +29547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.831789647 -0.378751692 +29545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.456848176 -0.378751692 +29549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.134873349 -0.378751692 +29548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.666922107 -0.378751692 +29546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.537347771 -0.378751692 +29550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.73090521 -0.378751692 +29551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.836000573 -0.378751692 +29552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.293102953 -0.378751692 +29553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.568006077 -0.378751692 +29554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.014115995 -0.378751692 +29555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.274482242 -0.378751692 +29556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.590618821 -0.378751692 +29557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.409859088 -0.378751692 +29558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.833696978 -0.378751692 +29559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.416727138 -0.378751692 +29561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.65674322 -0.378751692 +29562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.401985681 -0.378751692 +29563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.552283034 -0.378751692 +29560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.380134641 -0.378751692 +29564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.25999617 -0.378751692 +29566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.418223258 -0.378751692 +29565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.306421044 -0.378751692 +29567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.681337243 -0.378751692 +29569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.236042191 -0.378751692 +29568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.56782103 -0.378751692 +29570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.375876931 -0.378751692 +29571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.695073111 -0.378751692 +29573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.402941273 -0.378751692 +29572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.443480752 -0.378751692 +29574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.126517259 -0.378751692 +29575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.719837683 -0.378751692 +29576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.349312436 -0.378751692 +29577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.368659256 -0.378751692 +29578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.513666833 -0.378751692 +29579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.106694355 -0.378751692 +29580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.44453224 -0.378751692 +29583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.208697838 -0.378751692 +29584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.157352805 -0.378751692 +29581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.160535496 -0.378751692 +29582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.283352264 -0.378751692 +29585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.212779725 -0.378751692 +29586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.686468906 -0.378751692 +29587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.531806591 -0.378751692 +29588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.228227225 -0.378751692 +29589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.035984756 -0.378751692 +29591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.609455088 -0.378751692 +29593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.097933059 -0.378751692 +29590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.091008995 -0.378751692 +29594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.256574485 -0.378751692 +29595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.232575786 -0.378751692 +29596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.030999766 -0.378751692 +29597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.121433611 -0.378751692 +29592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.345092806 -0.378751692 +29598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.360122121 -0.378751692 +29599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.071175465 -0.378751692 +29600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.614960979 -0.378751692 +29601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.815256781 -0.378751692 +29602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.017811595 -0.378751692 +29603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.26808276 -0.378751692 +29604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.813717785 -0.378751692 +29606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.032904224 -0.378751692 +29605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.712084251 -0.378751692 +29609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.072022712 -0.378751692 +29607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.515237715 -0.378751692 +29610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -9.18E-04 -0.378751692 +29608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.495485301 -0.378751692 +29612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.335848169 -0.378751692 +29611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.40649111 -0.378751692 +29613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.664921022 -0.378751692 +29615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.59418903 -0.378751692 +29616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.455691622 -0.378751692 +29617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.679553487 -0.378751692 +29618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.221028829 -0.378751692 +29614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.413144972 -0.378751692 +29619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.084966955 -0.378751692 +29620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.671917402 -0.378751692 +29623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.29520435 -0.378751692 +29622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.674580399 -0.378751692 +29625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.052216801 -0.378751692 +29621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.339996668 -0.378751692 +29624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.199106192 -0.378751692 +29627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.101055999 -0.378751692 +29626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.048842543 -0.378751692 +29628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.252756581 -0.378751692 +29629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.490186092 -0.378751692 +29630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.110258366 -0.378751692 +29632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.27371224 -0.378751692 +29633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.392362865 -0.378751692 +29634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.099122267 -0.378751692 +29631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.603799228 -0.378751692 +29636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.732384703 -0.378751692 +29638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.628646667 -0.378751692 +29637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.727105029 -0.378751692 +29635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.781297382 -0.378751692 +29640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.782518488 -0.378751692 +29639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.676919477 -0.378751692 +29642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.223730869 -0.378751692 +29641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.458439704 -0.378751692 +29644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.734325974 -0.378751692 +29643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.033660714 -0.378751692 +29645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.76207275 -0.378751692 +29646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.045363038 -0.378751692 +29647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.58412941 -0.378751692 +29648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.731726746 -0.378751692 +29649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.129497779 -0.378751692 +29650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.620363026 -0.378751692 +29651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.312151795 -0.378751692 +29652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.163449552 -0.378751692 +29653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.411418382 -0.378751692 +29655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.130264062 -0.378751692 +29656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.421133717 -0.378751692 +29654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.035414641 -0.378751692 +29657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.034066414 -0.378751692 +29658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.298391694 -0.378751692 +29660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.034098732 -0.378751692 +29659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.178496501 -0.378751692 +29661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.223762073 -0.378751692 +29662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.10061483 -0.378751692 +29664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.789140609 -0.378751692 +29665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.075114236 -0.378751692 +29666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.363417302 -0.378751692 +29663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.801080788 -0.378751692 +29667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.611477903 -0.378751692 +29669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.535724021 -0.378751692 +29668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.529640349 -0.378751692 +29670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.371786816 -0.378751692 +29671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.123751352 -0.378751692 +29673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.542651115 -0.378751692 +29672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.645242482 -0.378751692 +29674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.321549684 -0.378751692 +29675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.683250012 -0.378751692 +29676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.71570974 -0.378751692 +29677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.009506223 -0.378751692 +29678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.071929428 -0.378751692 +29680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.01276124 -0.378751692 +29679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.326566025 -0.378751692 +29681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.3072238 -0.378751692 +29683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.604847234 -0.378751692 +29684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.122325399 -0.378751692 +29685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.398224368 -0.378751692 +29682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.140332758 -0.378751692 +29686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.394498106 -0.378751692 +29687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.417871486 -0.378751692 +29688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.470663802 -0.378751692 +29689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.039473004 -0.378751692 +29690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.557090182 -0.378751692 +29691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.647944154 -0.378751692 +29692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.062334742 -0.378751692 +29693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.551486866 -0.378751692 +29694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.643294422 -0.378751692 +29695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.056751103 -0.378751692 +29696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.691051263 -0.378751692 +29697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.326413392 -0.378751692 +29698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.091201062 -0.378751692 +29699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.246326286 -0.378751692 +29700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.099691902 -0.378751692 +29703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.048878448 -0.378751692 +29705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.821214826 -0.378751692 +29702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.645105179 -0.378751692 +29704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.032157649 -0.378751692 +29706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.309364798 -0.378751692 +29701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.404196677 -0.378751692 +29707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.399368825 -0.378751692 +29708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.533823184 -0.378751692 +29709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.237473616 -0.378751692 +29712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.247579646 -0.378751692 +29710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.777841725 -0.378751692 +29713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.174699627 -0.378751692 +29715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.018867745 -0.378751692 +29711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.280522594 -0.378751692 +29714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.127657851 -0.378751692 +29716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.324524207 -0.378751692 +29717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.174881046 -0.378751692 +29721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.615501508 -0.378751692 +29719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.652863001 -0.378751692 +29720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.040511948 -0.378751692 +29722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.11060701 -0.378751692 +29723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.489365493 -0.378751692 +29718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.025771333 -0.378751692 +29724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.57777603 -0.378751692 +29725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.261992112 -0.378751692 +29728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.60314375 -0.378751692 +29727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.668137725 -0.378751692 +29726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.426719408 -0.378751692 +29729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.216219138 -0.378751692 +29731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.646294207 -0.378751692 +29732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.069458316 -0.378751692 +29730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.702512118 -0.378751692 +29733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.824243195 -0.378751692 +29736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.020213909 -0.378751692 +29734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.417502793 -0.378751692 +29735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.179865956 -0.378751692 +29737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.335936133 -0.378751692 +29739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.049865674 -0.378751692 +29738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.22846998 -0.378751692 +29740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.827660717 -0.378751692 +29741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.132621298 -0.378751692 +29743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.619406769 -0.378751692 +29742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.336790748 -0.378751692 +29744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.757174206 -0.378751692 +29745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.290602288 -0.378751692 +29747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.144573313 -0.378751692 +29746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.421076705 -0.378751692 +29749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.577515849 -0.378751692 +29750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.709896893 -0.378751692 +29751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.313953845 -0.378751692 +29752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.239217445 -0.378751692 +29753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.567328699 -0.378751692 +29754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.438841563 -0.378751692 +29748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.374589085 -0.378751692 +29755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.620170723 -0.378751692 +29756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.383424142 -0.378751692 +29758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.67093863 -0.378751692 +29757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.825734833 -0.378751692 +29760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.417665404 -0.378751692 +29759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.382944081 -0.378751692 +29762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.823906971 -0.378751692 +29764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.251101008 -0.378751692 +29763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.109536371 -0.378751692 +29761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.339569205 -0.378751692 +29765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.074465683 -0.378751692 +29766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.187804902 -0.378751692 +29768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.620643172 -0.378751692 +29767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.339785063 -0.378751692 +29770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.094160193 -0.378751692 +29771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.558608863 -0.378751692 +29772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.886504591 -0.378751692 +29773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.748658959 -0.378751692 +29769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.019692631 -0.378751692 +29775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.631450976 -0.378751692 +29774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.460694571 -0.378751692 +29776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.669100305 -0.378751692 +29777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.72829297 -0.378751692 +29778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.226003928 -0.378751692 +29780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.766984134 -0.378751692 +29779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.350836851 -0.378751692 +29781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.380518277 -0.378751692 +29783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.008675438 -0.378751692 +29782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.018172895 -0.378751692 +29784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.763254933 -0.378751692 +29785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.417929706 -0.378751692 +29786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.283858315 -0.378751692 +29788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.405950246 -0.378751692 +29787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.601122122 -0.378751692 +29790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.375413652 -0.378751692 +29791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.083723578 -0.378751692 +29792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.289461664 -0.378751692 +29793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.088955867 -0.378751692 +29795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.565613054 -0.378751692 +29794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.650329828 -0.378751692 +29796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.253624398 -0.378751692 +29797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.392800496 -0.378751692 +29798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.529349029 -0.378751692 +29799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.604619411 -0.378751692 +29789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.729074306 -0.378751692 +29800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.301366005 -0.378751692 +29803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.265773303 -0.378751692 +29802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.840173349 -0.378751692 +29804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.580795047 -0.378751692 +29805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.716342804 -0.378751692 +29801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.390696111 -0.378751692 +29806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.491943514 -0.378751692 +29807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.640386694 -0.378751692 +29808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.693316721 -0.378751692 +29809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.66209427 -0.378751692 +29810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.514492256 -0.378751692 +29811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.655557162 -0.378751692 +29813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.464792832 -0.378751692 +29814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.036460257 -0.378751692 +29812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.401461284 -0.378751692 +29816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.2466215 -0.378751692 +29815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.408060371 -0.378751692 +29817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.270417776 -0.378751692 +29818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.755596967 -0.378751692 +29819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.33079391 -0.378751692 +29820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.150668599 -0.378751692 +29821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.184609055 -0.378751692 +29822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.546123335 -0.378751692 +29823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.013697247 -0.378751692 +29825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.512694161 -0.378751692 +29824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.470051992 -0.378751692 +29828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.225520148 -0.378751692 +29826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.022066329 -0.378751692 +29829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.611158552 -0.378751692 +29830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.636762401 -0.378751692 +29827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.770143804 -0.378751692 +29831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.601580298 -0.378751692 +29832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.472083373 -0.378751692 +29834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.640355501 -0.378751692 +29836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.686627948 -0.378751692 +29835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.384676686 -0.378751692 +29837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.18950221 -0.378751692 +29838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 2.81E-04 -0.378751692 +29833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.087449223 -0.378751692 +29839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.140809709 -0.378751692 +29840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.096915884 -0.378751692 +29841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.60373552 -0.378751692 +29845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.041991965 -0.378751692 +29844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.107504991 -0.378751692 +29842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.571235799 -0.378751692 +29843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.011392685 -0.378751692 +29846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.730792855 -0.378751692 +29847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.146878891 -0.378751692 +29848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.1090119 -0.378751692 +29849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.841905657 -0.378751692 +29850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.703248747 -0.378751692 +29852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.15855597 -0.378751692 +29851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.574187122 -0.378751692 +29855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.651424809 -0.378751692 +29853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.421893437 -0.378751692 +29857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.645967791 -0.378751692 +29858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.431189941 -0.378751692 +29854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.258709666 -0.378751692 +29859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.07444574 -0.378751692 +29856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.033043514 -0.378751692 +29860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.443270974 -0.378751692 +29862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.034521323 -0.378751692 +29861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.278929944 -0.378751692 +29864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.601486671 -0.378751692 +29863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.10936907 -0.378751692 +29865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.477585311 -0.378751692 +29867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.164407205 -0.378751692 +29868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.677051848 -0.378751692 +29866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.222463579 -0.378751692 +29870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.077409752 -0.378751692 +29871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.444059889 -0.378751692 +29869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.567938403 -0.378751692 +29872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.117174216 -0.378751692 +29873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.085294421 -0.378751692 +29874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.725288104 -0.378751692 +29876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.652964122 -0.378751692 +29875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.581147118 -0.378751692 +29877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.007027278 -0.378751692 +29878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.008400318 -0.378751692 +29879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.548625305 -0.378751692 +29880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.514212262 -0.378751692 +29881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.508013556 -0.378751692 +29883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.408475891 -0.378751692 +29882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.372430792 -0.378751692 +29884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.139036446 -0.378751692 +29885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.526555503 -0.378751692 +29886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.497315854 -0.378751692 +29888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.791287852 -0.378751692 +29887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.789825567 -0.378751692 +29890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.183910934 -0.378751692 +29891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.790956885 -0.378751692 +29893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.355460573 -0.378751692 +29889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.054270635 -0.378751692 +29892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.570103 -0.378751692 +29894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.378386116 -0.378751692 +29895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.312241602 -0.378751692 +29896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.432829045 -0.378751692 +29897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.152214352 -0.378751692 +29898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.021941265 -0.378751692 +29899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.442227271 -0.378751692 +29902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.064398382 -0.378751692 +29901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.515625349 -0.378751692 +29900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.675740034 -0.378751692 +29903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.400988703 -0.378751692 +29905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.352712618 -0.378751692 +29904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.534395858 -0.378751692 +29907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.006000434 -0.378751692 +29906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.108847908 -0.378751692 +29908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.133612528 -0.378751692 +29909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.709570016 -0.378751692 +29911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.652210602 -0.378751692 +29910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.203381931 -0.378751692 +29912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.194498989 -0.378751692 +29913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.648591639 -0.378751692 +29914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.056869363 -0.378751692 +29915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.377391754 -0.378751692 +29916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.177131229 -0.378751692 +29917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.025758883 -0.378751692 +29918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.687642436 -0.378751692 +29919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.115237152 -0.378751692 +29920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.467574735 -0.378751692 +29921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.722102392 -0.378751692 +29924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.229297665 -0.378751692 +29923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.369166665 -0.378751692 +29922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.591672007 -0.378751692 +29925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.110159097 -0.378751692 +29926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.020923223 -0.378751692 +29927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.56297308 -0.378751692 +29928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.364157827 -0.378751692 +29930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.135710762 -0.378751692 +29931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.128406553 -0.378751692 +29932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.233299158 -0.378751692 +29933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.432252265 -0.378751692 +29934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.129476922 -0.378751692 +29929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.099878167 -0.378751692 +29936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.053048891 -0.378751692 +29935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.684004483 -0.378751692 +29937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.68858422 -0.378751692 +29938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.011538828 -0.378751692 +29939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.822086848 -0.378751692 +29942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.444403356 -0.378751692 +29941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.457468694 -0.378751692 +29940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.384849457 -0.378751692 +29944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.141659789 -0.378751692 +29943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.253192072 -0.378751692 +29946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.061698351 -0.378751692 +29945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.394091441 -0.378751692 +29947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.052227744 -0.378751692 +29948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.001290698 -0.378751692 +29950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.369559821 -0.378751692 +29949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.023716809 -0.378751692 +29951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.042653043 -0.378751692 +29952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.472560044 -0.378751692 +29953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.117271056 -0.378751692 +29954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.059128348 -0.378751692 +29957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.553069253 -0.378751692 +29956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.11502125 -0.378751692 +29958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.517881739 -0.378751692 +29955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.405942558 -0.378751692 +29960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.773970107 -0.378751692 +29959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.306317716 -0.378751692 +29963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.299547599 -0.378751692 +29962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.795023964 -0.378751692 +29961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.63871681 -0.378751692 +29965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.20483212 -0.378751692 +29966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.127226015 -0.378751692 +29964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.768712369 -0.378751692 +29967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.515804351 -0.378751692 +29970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.310510113 -0.378751692 +29971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.301026589 -0.378751692 +29969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.754114327 -0.378751692 +29968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.493444839 -0.378751692 +29972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.233514607 -0.378751692 +29974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.560229065 -0.378751692 +29975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.411630127 -0.378751692 +29973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.548105008 -0.378751692 +29978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.411064123 -0.378751692 +29976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.873235086 -0.378751692 +29977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.137604482 -0.378751692 +29980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.187120038 -0.378751692 +29979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.70455183 -0.378751692 +29981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.67572104 -0.378751692 +29983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.614413266 -0.378751692 +29982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.430240437 -0.378751692 +29985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 0.012124877 -0.378751692 +29984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.412978533 -0.378751692 +29986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.458466603 -0.378751692 +29987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.690842011 -0.378751692 +29989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.535394001 -0.378751692 +29988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.235336977 -0.378751692 +29991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.012305309 -0.378751692 +29990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.14141316 -0.378751692 +29992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.171513333 -0.378751692 +29993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.348747053 -0.378751692 +29995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.051878226 -0.378751692 +29996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.464706305 -0.378751692 +29994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.445627399 -0.378751692 +29997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.314116962 -0.378751692 +29999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.581318402 -0.378751692 +29998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.855270511 -0.378751692 +30000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.45 10 1 -0.208808823 -0.378751692 +30001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.270051914 -0.399028519 +30002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.293393618 -0.399028519 +30003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.015321054 -0.399028519 +30004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.431063506 -0.399028519 +30006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.826323534 -0.399028519 +30005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.559187503 -0.399028519 +30007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.702780834 -0.399028519 +30008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.366070109 -0.399028519 +30009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.556335858 -0.399028519 +30010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.5792511 -0.399028519 +30011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.066739448 -0.399028519 +30012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.54823412 -0.399028519 +30013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.180193133 -0.399028519 +30015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.761914928 -0.399028519 +30016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.458671199 -0.399028519 +30014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.447798822 -0.399028519 +30017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.54335076 -0.399028519 +30018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.009633641 -0.399028519 +30019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.357502636 -0.399028519 +30020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.153045062 -0.399028519 +30021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.182903196 -0.399028519 +30023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.6684111 -0.399028519 +30025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.456930061 -0.399028519 +30024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.766131099 -0.399028519 +30022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.204284686 -0.399028519 +30026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.635265482 -0.399028519 +30027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.143326943 -0.399028519 +30028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.112093584 -0.399028519 +30029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.865806876 -0.399028519 +30030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.750539278 -0.399028519 +30031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.515631462 -0.399028519 +30033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.047249911 -0.399028519 +30036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.248736858 -0.399028519 +30032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.218777128 -0.399028519 +30034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.130521635 -0.399028519 +30035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.623222407 -0.399028519 +30037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.182171128 -0.399028519 +30038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.196175033 -0.399028519 +30039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.535274986 -0.399028519 +30043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.048593251 -0.399028519 +30041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.735416809 -0.399028519 +30042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.192361668 -0.399028519 +30040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.606595722 -0.399028519 +30044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.311302485 -0.399028519 +30045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.116620566 -0.399028519 +30046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.651435164 -0.399028519 +30047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.735618121 -0.399028519 +30049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.291681711 -0.399028519 +30048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.344890896 -0.399028519 +30051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.033458227 -0.399028519 +30050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.410493604 -0.399028519 +30052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.515344885 -0.399028519 +30054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.742943299 -0.399028519 +30053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.018745383 -0.399028519 +30055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.400867033 -0.399028519 +30057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.678340202 -0.399028519 +30056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.140143022 -0.399028519 +30058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.582204368 -0.399028519 +30059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.314079437 -0.399028519 +30060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.200904132 -0.399028519 +30061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.245230645 -0.399028519 +30062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.133729061 -0.399028519 +30063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.458365542 -0.399028519 +30064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.645726283 -0.399028519 +30066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.414269279 -0.399028519 +30065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.469481448 -0.399028519 +30068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.583571015 -0.399028519 +30067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.017310791 -0.399028519 +30069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.422406679 -0.399028519 +30070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.694539303 -0.399028519 +30071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.219328591 -0.399028519 +30072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.471455345 -0.399028519 +30073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.041928073 -0.399028519 +30074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.399062382 -0.399028519 +30075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.105649962 -0.399028519 +30076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.060470375 -0.399028519 +30077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.376136023 -0.399028519 +30078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.053851981 -0.399028519 +30079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.246615909 -0.399028519 +30080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.79952041 -0.399028519 +30081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.359748562 -0.399028519 +30082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.296063936 -0.399028519 +30083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.122591303 -0.399028519 +30085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.436892279 -0.399028519 +30086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.293114624 -0.399028519 +30087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.129538883 -0.399028519 +30088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.443597229 -0.399028519 +30089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.695588965 -0.399028519 +30084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.331846012 -0.399028519 +30091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.079790766 -0.399028519 +30090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.5034635 -0.399028519 +30092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.052832203 -0.399028519 +30093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.580487476 -0.399028519 +30094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.659468188 -0.399028519 +30095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.765065295 -0.399028519 +30096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.718269554 -0.399028519 +30097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.033761493 -0.399028519 +30098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.433458083 -0.399028519 +30100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.144673121 -0.399028519 +30099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.616722807 -0.399028519 +30101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.174669562 -0.399028519 +30103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.321528147 -0.399028519 +30102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.225026591 -0.399028519 +30104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.520341491 -0.399028519 +30106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.322341869 -0.399028519 +30107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.366304807 -0.399028519 +30105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.536556572 -0.399028519 +30108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.467499565 -0.399028519 +30109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.423629868 -0.399028519 +30111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.707495387 -0.399028519 +30112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.259643109 -0.399028519 +30110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.022816099 -0.399028519 +30113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.404297302 -0.399028519 +30114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.336947122 -0.399028519 +30116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.079718403 -0.399028519 +30117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.401424577 -0.399028519 +30115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.665073375 -0.399028519 +30118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.532383333 -0.399028519 +30119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.742459021 -0.399028519 +30120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.399802633 -0.399028519 +30121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.299246645 -0.399028519 +30122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.392597545 -0.399028519 +30126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.040461542 -0.399028519 +30123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.436441939 -0.399028519 +30124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.493530143 -0.399028519 +30127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.614131215 -0.399028519 +30125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.50939203 -0.399028519 +30128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.389865182 -0.399028519 +30129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.473345564 -0.399028519 +30130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.635550531 -0.399028519 +30131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.256501606 -0.399028519 +30132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.318568848 -0.399028519 +30133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.602958492 -0.399028519 +30134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.03286165 -0.399028519 +30135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.648636451 -0.399028519 +30138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.4413593 -0.399028519 +30136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.105928768 -0.399028519 +30137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.78993805 -0.399028519 +30140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.568074555 -0.399028519 +30141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.367960444 -0.399028519 +30139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.200218376 -0.399028519 +30142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.12071448 -0.399028519 +30145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.755551652 -0.399028519 +30143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.227891302 -0.399028519 +30146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.028622372 -0.399028519 +30144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.394894422 -0.399028519 +30149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.229408022 -0.399028519 +30147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.268684653 -0.399028519 +30148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.063272325 -0.399028519 +30150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.495164502 -0.399028519 +30152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.308702776 -0.399028519 +30151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.404918915 -0.399028519 +30154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.333878666 -0.399028519 +30153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.004374577 -0.399028519 +30155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.617227367 -0.399028519 +30157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.031665642 -0.399028519 +30156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.144740634 -0.399028519 +30158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.458262923 -0.399028519 +30160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.659243048 -0.399028519 +30162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.796460489 -0.399028519 +30161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.657725946 -0.399028519 +30163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.146191804 -0.399028519 +30165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.744727088 -0.399028519 +30164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.684241503 -0.399028519 +30159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.359501536 -0.399028519 +30166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.314003196 -0.399028519 +30168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.045603217 -0.399028519 +30167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.626805265 -0.399028519 +30169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.650460231 -0.399028519 +30170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.125457522 -0.399028519 +30171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.071658642 -0.399028519 +30172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.420674441 -0.399028519 +30173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.762278718 -0.399028519 +30174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.067118886 -0.399028519 +30177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.498099823 -0.399028519 +30176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.665356473 -0.399028519 +30175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.480951363 -0.399028519 +30178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.27654279 -0.399028519 +30180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.706658043 -0.399028519 +30179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.097388085 -0.399028519 +30181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.540598639 -0.399028519 +30182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.036173182 -0.399028519 +30184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.67811654 -0.399028519 +30185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.029452439 -0.399028519 +30183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.512147961 -0.399028519 +30186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.236859537 -0.399028519 +30188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.322637472 -0.399028519 +30187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.2411147 -0.399028519 +30190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.70354226 -0.399028519 +30193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.752807231 -0.399028519 +30191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.270781942 -0.399028519 +30192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.315814773 -0.399028519 +30194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.736934334 -0.399028519 +30195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.496505266 -0.399028519 +30189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.245883182 -0.399028519 +30196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.18618178 -0.399028519 +30197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.251206009 -0.399028519 +30201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.542664603 -0.399028519 +30199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.529283201 -0.399028519 +30200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.706612611 -0.399028519 +30202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.620137628 -0.399028519 +30203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.53794214 -0.399028519 +30198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.170756948 -0.399028519 +30204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.006326497 -0.399028519 +30205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.242572884 -0.399028519 +30206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.087769421 -0.399028519 +30208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.218423369 -0.399028519 +30209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.604924711 -0.399028519 +30207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.023523895 -0.399028519 +30211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.557938446 -0.399028519 +30210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.231142089 -0.399028519 +30212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.661523541 -0.399028519 +30213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.753094091 -0.399028519 +30214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.752246176 -0.399028519 +30216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.272453811 -0.399028519 +30217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.586070964 -0.399028519 +30218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.009656678 -0.399028519 +30215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.149896058 -0.399028519 +30219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.508481279 -0.399028519 +30220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.403006282 -0.399028519 +30221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.379789001 -0.399028519 +30222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.085008696 -0.399028519 +30223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.345919325 -0.399028519 +30224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.047889673 -0.399028519 +30225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.46556109 -0.399028519 +30226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.224621455 -0.399028519 +30227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.062617328 -0.399028519 +30229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.220504154 -0.399028519 +30230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.662099543 -0.399028519 +30231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.081206274 -0.399028519 +30228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.570764237 -0.399028519 +30233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.251341868 -0.399028519 +30232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.395587616 -0.399028519 +30234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.098978142 -0.399028519 +30236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.500106372 -0.399028519 +30237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.625460848 -0.399028519 +30239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.052672986 -0.399028519 +30238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.480305127 -0.399028519 +30240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.19106741 -0.399028519 +30235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.146920401 -0.399028519 +30241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.293129246 -0.399028519 +30242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.706293416 -0.399028519 +30243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.107083847 -0.399028519 +30244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.330789209 -0.399028519 +30245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.256086196 -0.399028519 +30247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.320937827 -0.399028519 +30246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.660752321 -0.399028519 +30249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.453817538 -0.399028519 +30248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.515290402 -0.399028519 +30250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.318479198 -0.399028519 +30251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.532267333 -0.399028519 +30252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.851737914 -0.399028519 +30255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.645550669 -0.399028519 +30254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.418209541 -0.399028519 +30253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.669313992 -0.399028519 +30256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.701470388 -0.399028519 +30258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.432186181 -0.399028519 +30259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.22289188 -0.399028519 +30260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.62770495 -0.399028519 +30257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.287085481 -0.399028519 +30263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.604019889 -0.399028519 +30261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.743579721 -0.399028519 +30262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.011087657 -0.399028519 +30264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.219617678 -0.399028519 +30265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.97347676 -0.399028519 +30267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.675380178 -0.399028519 +30266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.457932671 -0.399028519 +30269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.327056443 -0.399028519 +30268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.061491483 -0.399028519 +30271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.145958275 -0.399028519 +30272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.277239811 -0.399028519 +30270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.597642976 -0.399028519 +30273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.265294242 -0.399028519 +30274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.428499059 -0.399028519 +30275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.504311511 -0.399028519 +30278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.083136792 -0.399028519 +30280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.169456219 -0.399028519 +30279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.59050535 -0.399028519 +30276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.063805682 -0.399028519 +30277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.051967451 -0.399028519 +30281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.214476382 -0.399028519 +30282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.267841458 -0.399028519 +30283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.018723463 -0.399028519 +30284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.101079072 -0.399028519 +30285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.639843061 -0.399028519 +30286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.313868258 -0.399028519 +30287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.225781045 -0.399028519 +30288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.011475593 -0.399028519 +30291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.656459903 -0.399028519 +30290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.631886028 -0.399028519 +30289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.176406397 -0.399028519 +30292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.633695781 -0.399028519 +30293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.223494123 -0.399028519 +30294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.125029029 -0.399028519 +30295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.315717979 -0.399028519 +30297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.272700451 -0.399028519 +30298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.142195953 -0.399028519 +30299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.307933874 -0.399028519 +30300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.105581763 -0.399028519 +30302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.535095677 -0.399028519 +30301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.008380027 -0.399028519 +30296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.759994403 -0.399028519 +30303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.466126499 -0.399028519 +30304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.315184144 -0.399028519 +30305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.819627567 -0.399028519 +30306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.719814588 -0.399028519 +30308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.763932332 -0.399028519 +30311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.381496546 -0.399028519 +30309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.135595318 -0.399028519 +30307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.197940049 -0.399028519 +30310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.032101866 -0.399028519 +30312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.174791245 -0.399028519 +30313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.022648518 -0.399028519 +30314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.167911466 -0.399028519 +30315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.237162305 -0.399028519 +30316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.006257008 -0.399028519 +30317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.15203833 -0.399028519 +30318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.667440412 -0.399028519 +30320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.265942378 -0.399028519 +30321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.340547102 -0.399028519 +30322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.283093026 -0.399028519 +30323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.062987542 -0.399028519 +30324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.187494367 -0.399028519 +30325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.361255181 -0.399028519 +30319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.495825864 -0.399028519 +30326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.513073813 -0.399028519 +30327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.288071018 -0.399028519 +30328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.517335596 -0.399028519 +30330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.367345608 -0.399028519 +30329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.03953382 -0.399028519 +30332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.14831814 -0.399028519 +30334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.693073252 -0.399028519 +30333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.009606745 -0.399028519 +30331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.514843863 -0.399028519 +30336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.167853585 -0.399028519 +30335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.707884106 -0.399028519 +30338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.195268445 -0.399028519 +30339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.722451683 -0.399028519 +30340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.474835613 -0.399028519 +30337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.460391659 -0.399028519 +30342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.527386279 -0.399028519 +30341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.136414223 -0.399028519 +30343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.709390451 -0.399028519 +30344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.594788344 -0.399028519 +30345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.344499359 -0.399028519 +30346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.402990842 -0.399028519 +30347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.663341147 -0.399028519 +30349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.165282306 -0.399028519 +30348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.384022116 -0.399028519 +30350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.414305321 -0.399028519 +30351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.021074869 -0.399028519 +30352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.044964495 -0.399028519 +30354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.058591459 -0.399028519 +30355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.333272254 -0.399028519 +30353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.812351498 -0.399028519 +30356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.494711743 -0.399028519 +30357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.749330858 -0.399028519 +30359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.234678868 -0.399028519 +30360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.90089546 -0.399028519 +30363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.593202413 -0.399028519 +30362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.671436337 -0.399028519 +30358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.443141878 -0.399028519 +30361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.20231181 -0.399028519 +30364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.412643413 -0.399028519 +30365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.704305996 -0.399028519 +30366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.410201167 -0.399028519 +30367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.756880355 -0.399028519 +30369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.521811096 -0.399028519 +30370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.276856385 -0.399028519 +30368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.240594737 -0.399028519 +30371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.226629451 -0.399028519 +30372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.654595192 -0.399028519 +30374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.074303439 -0.399028519 +30373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.716957386 -0.399028519 +30375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.196178217 -0.399028519 +30376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.851953458 -0.399028519 +30377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.364953226 -0.399028519 +30378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.728552333 -0.399028519 +30379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.68113129 -0.399028519 +30381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.625516348 -0.399028519 +30380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.52385804 -0.399028519 +30383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.78582212 -0.399028519 +30382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.294759841 -0.399028519 +30384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.693512428 -0.399028519 +30386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.241110586 -0.399028519 +30385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.444372787 -0.399028519 +30389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.225773056 -0.399028519 +30388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.577847693 -0.399028519 +30390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.009060828 -0.399028519 +30391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.47855249 -0.399028519 +30387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.625880219 -0.399028519 +30392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.770619741 -0.399028519 +30393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.693511449 -0.399028519 +30394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.437586132 -0.399028519 +30395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.426864899 -0.399028519 +30397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.706703703 -0.399028519 +30399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.441440986 -0.399028519 +30400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.248835164 -0.399028519 +30398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.67222386 -0.399028519 +30396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.115197541 -0.399028519 +30401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.760160117 -0.399028519 +30402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.152670506 -0.399028519 +30403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.099873005 -0.399028519 +30404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.281721878 -0.399028519 +30405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.124403703 -0.399028519 +30406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.784922738 -0.399028519 +30407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.02064263 -0.399028519 +30408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.664564621 -0.399028519 +30409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.3887071 -0.399028519 +30411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.654770629 -0.399028519 +30412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.07994097 -0.399028519 +30410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.453517293 -0.399028519 +30413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.677016926 -0.399028519 +30414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.04244788 -0.399028519 +30415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.375184477 -0.399028519 +30417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.652265278 -0.399028519 +30416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.459484935 -0.399028519 +30418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.745532888 -0.399028519 +30419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.077646549 -0.399028519 +30420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.531562629 -0.399028519 +30421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.517236205 -0.399028519 +30422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.290200339 -0.399028519 +30423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.343848606 -0.399028519 +30424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.655212501 -0.399028519 +30425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.791345656 -0.399028519 +30426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.438725227 -0.399028519 +30427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.209813113 -0.399028519 +30430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.138991132 -0.399028519 +30428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.076758561 -0.399028519 +30429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.245029205 -0.399028519 +30431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.201928096 -0.399028519 +30432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.217744184 -0.399028519 +30433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.169542812 -0.399028519 +30434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.62878736 -0.399028519 +30435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.614753063 -0.399028519 +30436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.167425952 -0.399028519 +30439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.073638627 -0.399028519 +30438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.071818731 -0.399028519 +30440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.44997769 -0.399028519 +30437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.633036082 -0.399028519 +30441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.47535611 -0.399028519 +30442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.363659641 -0.399028519 +30443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.741094094 -0.399028519 +30445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.17294653 -0.399028519 +30446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.847006889 -0.399028519 +30444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.782455261 -0.399028519 +30447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.657471473 -0.399028519 +30449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.272104022 -0.399028519 +30448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.085897532 -0.399028519 +30450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.450010724 -0.399028519 +30451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.727537489 -0.399028519 +30453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.085804553 -0.399028519 +30454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.217003136 -0.399028519 +30452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.246403941 -0.399028519 +30455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.685970115 -0.399028519 +30456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.687751213 -0.399028519 +30457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.702170281 -0.399028519 +30459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.147112188 -0.399028519 +30458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.558887303 -0.399028519 +30460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.025268086 -0.399028519 +30461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.691997081 -0.399028519 +30462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.751107732 -0.399028519 +30463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.784564376 -0.399028519 +30464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.635295199 -0.399028519 +30467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.404160464 -0.399028519 +30466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.168830489 -0.399028519 +30465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.434771345 -0.399028519 +30468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.611028022 -0.399028519 +30470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.344588642 -0.399028519 +30469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.498039504 -0.399028519 +30472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.853783033 -0.399028519 +30471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.544527991 -0.399028519 +30474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.717793678 -0.399028519 +30473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.277275056 -0.399028519 +30476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.919890348 -0.399028519 +30478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.745236483 -0.399028519 +30477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.132632448 -0.399028519 +30475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.017959655 -0.399028519 +30480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.225313343 -0.399028519 +30481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.48657482 -0.399028519 +30482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.193208105 -0.399028519 +30479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.104949114 -0.399028519 +30485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.807326447 -0.399028519 +30484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.580511198 -0.399028519 +30483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.105416125 -0.399028519 +30486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.146272012 -0.399028519 +30487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.598298513 -0.399028519 +30488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.260588675 -0.399028519 +30490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.219090744 -0.399028519 +30489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.227284946 -0.399028519 +30491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.552153077 -0.399028519 +30492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.552202221 -0.399028519 +30493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.323104337 -0.399028519 +30495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.468322739 -0.399028519 +30496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.090894846 -0.399028519 +30498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.65912585 -0.399028519 +30494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.109229499 -0.399028519 +30501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.663813152 -0.399028519 +30500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.143085096 -0.399028519 +30499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.314240798 -0.399028519 +30497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.051540679 -0.399028519 +30502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.574971898 -0.399028519 +30503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.680191426 -0.399028519 +30504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.109977051 -0.399028519 +30507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.501409899 -0.399028519 +30506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.592512026 -0.399028519 +30508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.079102775 -0.399028519 +30509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.607084737 -0.399028519 +30505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.694929064 -0.399028519 +30511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.395081177 -0.399028519 +30510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.797900221 -0.399028519 +30514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.628317946 -0.399028519 +30513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.686439305 -0.399028519 +30512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.370702518 -0.399028519 +30516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.718714797 -0.399028519 +30515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.673914239 -0.399028519 +30517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.682632459 -0.399028519 +30518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.520121321 -0.399028519 +30519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.469882599 -0.399028519 +30520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.385815635 -0.399028519 +30522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.35397672 -0.399028519 +30521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.682135562 -0.399028519 +30524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.103249302 -0.399028519 +30523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.611538673 -0.399028519 +30526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.007838094 -0.399028519 +30527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.453424368 -0.399028519 +30525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.079159642 -0.399028519 +30528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.192050186 -0.399028519 +30529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.442512882 -0.399028519 +30530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.575905338 -0.399028519 +30531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.61800705 -0.399028519 +30532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.21545197 -0.399028519 +30533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.02243192 -0.399028519 +30534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.538914627 -0.399028519 +30536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.026803642 -0.399028519 +30535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.039955913 -0.399028519 +30537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.817572592 -0.399028519 +30538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.046555526 -0.399028519 +30539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.631157436 -0.399028519 +30540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.235749136 -0.399028519 +30541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.506930731 -0.399028519 +30542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.290681831 -0.399028519 +30544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.551400237 -0.399028519 +30543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.515297348 -0.399028519 +30546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.316970457 -0.399028519 +30547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.031372357 -0.399028519 +30545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.143667285 -0.399028519 +30548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.097651064 -0.399028519 +30549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.319991388 -0.399028519 +30552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.631385318 -0.399028519 +30551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.276454442 -0.399028519 +30554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.076343465 -0.399028519 +30555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.045658071 -0.399028519 +30553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.768918562 -0.399028519 +30550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.419149453 -0.399028519 +30556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.756425526 -0.399028519 +30557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.785548241 -0.399028519 +30559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.078684762 -0.399028519 +30560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.391393221 -0.399028519 +30558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.581877671 -0.399028519 +30562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.724165264 -0.399028519 +30563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.539142188 -0.399028519 +30564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.05603126 -0.399028519 +30565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.756947609 -0.399028519 +30566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.414637414 -0.399028519 +30561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.786174591 -0.399028519 +30568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.093017267 -0.399028519 +30569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.674361064 -0.399028519 +30571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.600761688 -0.399028519 +30570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.388956017 -0.399028519 +30572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.094851208 -0.399028519 +30567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.009746156 -0.399028519 +30573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.014916804 -0.399028519 +30574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.740549131 -0.399028519 +30575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.600867149 -0.399028519 +30578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.714799407 -0.399028519 +30576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.353896132 -0.399028519 +30579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.398403576 -0.399028519 +30580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.638866032 -0.399028519 +30577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.496733258 -0.399028519 +30581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.674624157 -0.399028519 +30583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.480562351 -0.399028519 +30584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.709368165 -0.399028519 +30585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.070981348 -0.399028519 +30586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.512251423 -0.399028519 +30582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.641512435 -0.399028519 +30587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.269714826 -0.399028519 +30588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.563717455 -0.399028519 +30589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.711291257 -0.399028519 +30590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.335637614 -0.399028519 +30591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.684227625 -0.399028519 +30592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.136068023 -0.399028519 +30595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.254888372 -0.399028519 +30594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.701982993 -0.399028519 +30593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.640457761 -0.399028519 +30596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.588506963 -0.399028519 +30597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.102197006 -0.399028519 +30599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.600915293 -0.399028519 +30598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.342006718 -0.399028519 +30600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.667166783 -0.399028519 +30601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.400868304 -0.399028519 +30603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.595946564 -0.399028519 +30604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.677227148 -0.399028519 +30602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.514634027 -0.399028519 +30605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.011499935 -0.399028519 +30607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.10053048 -0.399028519 +30606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.145162465 -0.399028519 +30608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.164933016 -0.399028519 +30609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.417704965 -0.399028519 +30610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.518258545 -0.399028519 +30611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.058239112 -0.399028519 +30612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.171764676 -0.399028519 +30613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.3232968 -0.399028519 +30614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.285415472 -0.399028519 +30615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.539409362 -0.399028519 +30617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.145091162 -0.399028519 +30616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.049149093 -0.399028519 +30618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.785370521 -0.399028519 +30619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.879671004 -0.399028519 +30621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.887491878 -0.399028519 +30623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.528452462 -0.399028519 +30620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.445662616 -0.399028519 +30624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.407592077 -0.399028519 +30622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.526590871 -0.399028519 +30625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.045477943 -0.399028519 +30626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.491472488 -0.399028519 +30627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.121439576 -0.399028519 +30628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.014254784 -0.399028519 +30630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.451902084 -0.399028519 +30631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.600493402 -0.399028519 +30632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.758581697 -0.399028519 +30633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.078374648 -0.399028519 +30635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.434494524 -0.399028519 +30634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.862641861 -0.399028519 +30629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.777879351 -0.399028519 +30636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.734663026 -0.399028519 +30638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.593354775 -0.399028519 +30639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.038869367 -0.399028519 +30640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.66775709 -0.399028519 +30643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.738175421 -0.399028519 +30641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.333326492 -0.399028519 +30642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.312050881 -0.399028519 +30637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.345199706 -0.399028519 +30644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.612405166 -0.399028519 +30645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.399282867 -0.399028519 +30647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.547978852 -0.399028519 +30648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.681310445 -0.399028519 +30649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.771465891 -0.399028519 +30650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.361782184 -0.399028519 +30646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.390171644 -0.399028519 +30651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.765257875 -0.399028519 +30652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.558587349 -0.399028519 +30653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.049809915 -0.399028519 +30655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.310903057 -0.399028519 +30654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.695364716 -0.399028519 +30657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.199293441 -0.399028519 +30658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.278169041 -0.399028519 +30656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.402357879 -0.399028519 +30660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.119788382 -0.399028519 +30659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.012405277 -0.399028519 +30662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.884509444 -0.399028519 +30663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.078895785 -0.399028519 +30665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.014635361 -0.399028519 +30664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.576412347 -0.399028519 +30661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.315967649 -0.399028519 +30666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.021273061 -0.399028519 +30667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.526569177 -0.399028519 +30668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.317871082 -0.399028519 +30669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.830226166 -0.399028519 +30671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.462631339 -0.399028519 +30672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.694715625 -0.399028519 +30670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.308311923 -0.399028519 +30673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.382935368 -0.399028519 +30674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.523692044 -0.399028519 +30675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.127328675 -0.399028519 +30677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.663255875 -0.399028519 +30678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.416701729 -0.399028519 +30680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.591711325 -0.399028519 +30679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.75130953 -0.399028519 +30676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.547682829 -0.399028519 +30681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.943773168 -0.399028519 +30682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.068488808 -0.399028519 +30683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.430980667 -0.399028519 +30684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.363047097 -0.399028519 +30685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.048120077 -0.399028519 +30687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.664676601 -0.399028519 +30686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.122741491 -0.399028519 +30690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.462107952 -0.399028519 +30688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.207268897 -0.399028519 +30689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.182387254 -0.399028519 +30691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.300795224 -0.399028519 +30692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.490496819 -0.399028519 +30694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.135424522 -0.399028519 +30693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.530054695 -0.399028519 +30695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.237647975 -0.399028519 +30698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.064524534 -0.399028519 +30697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.237023992 -0.399028519 +30696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.299083131 -0.399028519 +30699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.896340687 -0.399028519 +30700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.669119125 -0.399028519 +30701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.198094157 -0.399028519 +30703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.00180613 -0.399028519 +30704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.418561964 -0.399028519 +30702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.450652849 -0.399028519 +30706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.635878352 -0.399028519 +30705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.126709897 -0.399028519 +30707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.034685159 -0.399028519 +30708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.527271981 -0.399028519 +30709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.580732195 -0.399028519 +30710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.478022659 -0.399028519 +30711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.645994344 -0.399028519 +30712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.037143448 -0.399028519 +30713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.623909143 -0.399028519 +30714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.054189512 -0.399028519 +30715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.266411756 -0.399028519 +30716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.686489095 -0.399028519 +30717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.363170038 -0.399028519 +30718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.095223506 -0.399028519 +30719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.05647051 -0.399028519 +30720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.38954258 -0.399028519 +30723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.646600026 -0.399028519 +30721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.673681324 -0.399028519 +30722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.342298712 -0.399028519 +30725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.514248384 -0.399028519 +30724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.55115426 -0.399028519 +30726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.491211636 -0.399028519 +30727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.479998745 -0.399028519 +30728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.334046366 -0.399028519 +30730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.729286367 -0.399028519 +30729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.468286221 -0.399028519 +30731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.12626515 -0.399028519 +30732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.040961351 -0.399028519 +30734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.29972574 -0.399028519 +30735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.166988952 -0.399028519 +30736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.096797099 -0.399028519 +30738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.201639077 -0.399028519 +30737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.247224651 -0.399028519 +30733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.461181966 -0.399028519 +30740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.526932388 -0.399028519 +30741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.621162363 -0.399028519 +30742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.639746873 -0.399028519 +30739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.101827769 -0.399028519 +30743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.595615997 -0.399028519 +30745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.524565557 -0.399028519 +30746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.562144277 -0.399028519 +30747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.836629414 -0.399028519 +30744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.740835244 -0.399028519 +30748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.483278266 -0.399028519 +30749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.641834261 -0.399028519 +30751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.704184861 -0.399028519 +30752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.183827521 -0.399028519 +30754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.783555294 -0.399028519 +30753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.711255559 -0.399028519 +30755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.515559674 -0.399028519 +30756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.287167158 -0.399028519 +30757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.528802928 -0.399028519 +30750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.386252418 -0.399028519 +30758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.575193484 -0.399028519 +30759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.164759557 -0.399028519 +30760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.240996956 -0.399028519 +30761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.325818183 -0.399028519 +30762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.674931222 -0.399028519 +30763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.432988946 -0.399028519 +30764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.286460861 -0.399028519 +30766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.46786208 -0.399028519 +30765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.639274817 -0.399028519 +30767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.775757832 -0.399028519 +30768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.639476325 -0.399028519 +30769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.510865647 -0.399028519 +30770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.508433653 -0.399028519 +30771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.613268727 -0.399028519 +30772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.579960427 -0.399028519 +30773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.295810389 -0.399028519 +30776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.491209202 -0.399028519 +30777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.47399859 -0.399028519 +30775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.243582409 -0.399028519 +30778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.662382513 -0.399028519 +30779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.304453887 -0.399028519 +30780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.235066133 -0.399028519 +30774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.680933805 -0.399028519 +30782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.026498621 -0.399028519 +30784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.138511664 -0.399028519 +30783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.851589112 -0.399028519 +30785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.782842385 -0.399028519 +30781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.498436154 -0.399028519 +30786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.304861574 -0.399028519 +30787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.240929056 -0.399028519 +30788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.697459352 -0.399028519 +30789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.028256203 -0.399028519 +30791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.579051626 -0.399028519 +30793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.21300189 -0.399028519 +30790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.182725231 -0.399028519 +30794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.125567055 -0.399028519 +30792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.483676912 -0.399028519 +30795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.316097635 -0.399028519 +30797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.159053368 -0.399028519 +30796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.390814263 -0.399028519 +30799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.120253242 -0.399028519 +30800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.745442749 -0.399028519 +30802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.4008668 -0.399028519 +30798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.126137666 -0.399028519 +30801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.483786725 -0.399028519 +30804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.348826675 -0.399028519 +30803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.386552587 -0.399028519 +30805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.413770625 -0.399028519 +30807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.081887587 -0.399028519 +30806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.296338355 -0.399028519 +30809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.909103595 -0.399028519 +30810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.478445608 -0.399028519 +30811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.480401898 -0.399028519 +30808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.034044677 -0.399028519 +30812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.494429714 -0.399028519 +30816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.509615517 -0.399028519 +30815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.207223927 -0.399028519 +30813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.448687175 -0.399028519 +30817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.876110498 -0.399028519 +30814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.525826985 -0.399028519 +30818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.549443866 -0.399028519 +30819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.453874716 -0.399028519 +30820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.254648184 -0.399028519 +30821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.050666232 -0.399028519 +30823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.301420896 -0.399028519 +30824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.343001531 -0.399028519 +30825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.102357228 -0.399028519 +30822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.588703614 -0.399028519 +30826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.408943544 -0.399028519 +30827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.286049558 -0.399028519 +30829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.632522824 -0.399028519 +30830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.27379727 -0.399028519 +30828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.475569318 -0.399028519 +30832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.690747178 -0.399028519 +30831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.42351882 -0.399028519 +30833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.52894712 -0.399028519 +30834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.007994717 -0.399028519 +30835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.269869848 -0.399028519 +30837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.022227056 -0.399028519 +30838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.64415394 -0.399028519 +30836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.642685381 -0.399028519 +30839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.264570053 -0.399028519 +30841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.608092986 -0.399028519 +30842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.251026913 -0.399028519 +30843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.585738822 -0.399028519 +30844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.234425305 -0.399028519 +30845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.139683428 -0.399028519 +30846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.024761944 -0.399028519 +30840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.448259567 -0.399028519 +30847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.761561144 -0.399028519 +30849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.048881 -0.399028519 +30848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.539635988 -0.399028519 +30851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.37677238 -0.399028519 +30852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.41684825 -0.399028519 +30853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.192656293 -0.399028519 +30850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.08883007 -0.399028519 +30854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.3380827 -0.399028519 +30855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.052715106 -0.399028519 +30857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.685179609 -0.399028519 +30856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.060561849 -0.399028519 +30859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.516303051 -0.399028519 +30858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.421487632 -0.399028519 +30861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.15072666 -0.399028519 +30860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.064969021 -0.399028519 +30862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.467354766 -0.399028519 +30863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.735836234 -0.399028519 +30865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.586484256 -0.399028519 +30864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.084108874 -0.399028519 +30867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.605131056 -0.399028519 +30868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.428627959 -0.399028519 +30869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.397241398 -0.399028519 +30866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.775977177 -0.399028519 +30870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.772048671 -0.399028519 +30871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.210874543 -0.399028519 +30872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.121681439 -0.399028519 +30874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.791064331 -0.399028519 +30873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.181336904 -0.399028519 +30876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.00179827 -0.399028519 +30877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.290033699 -0.399028519 +30875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.804528975 -0.399028519 +30879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.429393525 -0.399028519 +30878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.728880336 -0.399028519 +30880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.36024445 -0.399028519 +30881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.67244612 -0.399028519 +30883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.277844601 -0.399028519 +30882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.345280911 -0.399028519 +30885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.191277086 -0.399028519 +30884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.122327628 -0.399028519 +30886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.553537908 -0.399028519 +30887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.141020774 -0.399028519 +30888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.198114106 -0.399028519 +30889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.439428941 -0.399028519 +30890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.794539901 -0.399028519 +30891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.538894815 -0.399028519 +30893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.395977139 -0.399028519 +30892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.830743308 -0.399028519 +30895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.447865622 -0.399028519 +30894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.561589635 -0.399028519 +30896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.664625679 -0.399028519 +30898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.255533542 -0.399028519 +30899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.470370725 -0.399028519 +30900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.664316673 -0.399028519 +30897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.346871186 -0.399028519 +30901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.221261415 -0.399028519 +30902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.414931983 -0.399028519 +30903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.371726575 -0.399028519 +30904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.402027657 -0.399028519 +30907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.68144097 -0.399028519 +30908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.659913095 -0.399028519 +30905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.59388146 -0.399028519 +30909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.152633732 -0.399028519 +30906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.474144396 -0.399028519 +30911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.39844174 -0.399028519 +30912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.687463291 -0.399028519 +30910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.094564476 -0.399028519 +30913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.337472484 -0.399028519 +30915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.004295871 -0.399028519 +30917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.790208588 -0.399028519 +30916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.591665208 -0.399028519 +30919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.373267686 -0.399028519 +30918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.052505825 -0.399028519 +30921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.708947686 -0.399028519 +30914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.693889801 -0.399028519 +30920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.769596567 -0.399028519 +30922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.239838886 -0.399028519 +30923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.255234603 -0.399028519 +30926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.540624433 -0.399028519 +30927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.620687148 -0.399028519 +30924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.447873596 -0.399028519 +30928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.090074196 -0.399028519 +30925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.485386707 -0.399028519 +30929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.658302888 -0.399028519 +30930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.448353177 -0.399028519 +30931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.10245226 -0.399028519 +30932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.177652212 -0.399028519 +30933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.803805528 -0.399028519 +30935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.670456582 -0.399028519 +30934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.215440819 -0.399028519 +30936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.115687556 -0.399028519 +30938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.129991702 -0.399028519 +30939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.05001567 -0.399028519 +30937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.61138057 -0.399028519 +30941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.350413513 -0.399028519 +30940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.723027448 -0.399028519 +30942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.391494113 -0.399028519 +30944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.139324434 -0.399028519 +30947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.235912149 -0.399028519 +30943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.496990037 -0.399028519 +30949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.370194609 -0.399028519 +30948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.448206398 -0.399028519 +30945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.079577583 -0.399028519 +30946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.664019213 -0.399028519 +30950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.11687278 -0.399028519 +30951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.816917929 -0.399028519 +30952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.680382167 -0.399028519 +30954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.593163703 -0.399028519 +30955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.437473886 -0.399028519 +30956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.014738413 -0.399028519 +30957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.053647963 -0.399028519 +30958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.187799901 -0.399028519 +30953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.24812159 -0.399028519 +30961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.683190715 -0.399028519 +30962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.081178964 -0.399028519 +30959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.121572087 -0.399028519 +30960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.391456951 -0.399028519 +30964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.624395623 -0.399028519 +30963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.654345155 -0.399028519 +30965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.578002754 -0.399028519 +30966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.505204301 -0.399028519 +30968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.081980627 -0.399028519 +30970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.627501862 -0.399028519 +30969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.625776147 -0.399028519 +30967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.153538923 -0.399028519 +30972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.52302153 -0.399028519 +30971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.398877376 -0.399028519 +30973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.768439165 -0.399028519 +30975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.007498953 -0.399028519 +30976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.485153476 -0.399028519 +30974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.047061996 -0.399028519 +30977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.21554712 -0.399028519 +30978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.834396329 -0.399028519 +30980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.256906379 -0.399028519 +30979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.605867362 -0.399028519 +30981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.410691302 -0.399028519 +30983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.723879415 -0.399028519 +30982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.345455559 -0.399028519 +30985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.737101343 -0.399028519 +30986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.237249672 -0.399028519 +30984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.349680551 -0.399028519 +30987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.681567477 -0.399028519 +30988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.049143349 -0.399028519 +30989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.611526748 -0.399028519 +30990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.443012122 -0.399028519 +30991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.604781456 -0.399028519 +30993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.020889802 -0.399028519 +30994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.612535044 -0.399028519 +30992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.216386472 -0.399028519 +30995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.234391634 -0.399028519 +30996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 0.090752047 -0.399028519 +30999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.204149984 -0.399028519 +31000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.321573373 -0.399028519 +30997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.133784068 -0.399028519 +30998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.5 10 1 -0.625574333 -0.399028519 +31002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.070038313 -0.400649123 +31003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.487809911 -0.400649123 +31001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.831221971 -0.400649123 +31004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.418697622 -0.400649123 +31006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.071094144 -0.400649123 +31007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.276592484 -0.400649123 +31005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.546894827 -0.400649123 +31008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.360919975 -0.400649123 +31009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.215755324 -0.400649123 +31010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.585769834 -0.400649123 +31012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.551235262 -0.400649123 +31015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.754851562 -0.400649123 +31011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.797288637 -0.400649123 +31014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.0911174 -0.400649123 +31013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.617767569 -0.400649123 +31017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.138548893 -0.400649123 +31016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.119372361 -0.400649123 +31018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.692514107 -0.400649123 +31019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.50338801 -0.400649123 +31020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.105624238 -0.400649123 +31022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.786186782 -0.400649123 +31024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.731292141 -0.400649123 +31023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.417095599 -0.400649123 +31025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.255544058 -0.400649123 +31021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.669308711 -0.400649123 +31027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.116557614 -0.400649123 +31026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.221530819 -0.400649123 +31028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.043170851 -0.400649123 +31029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.052578022 -0.400649123 +31030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.389990785 -0.400649123 +31031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.369213925 -0.400649123 +31035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.030801252 -0.400649123 +31033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.813489544 -0.400649123 +31034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.327208067 -0.400649123 +31032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.071437926 -0.400649123 +31036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.524921131 -0.400649123 +31038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.642052524 -0.400649123 +31037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.609877541 -0.400649123 +31040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.687015953 -0.400649123 +31039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.394575925 -0.400649123 +31041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.071771813 -0.400649123 +31043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.194828851 -0.400649123 +31044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.357440058 -0.400649123 +31042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.702476914 -0.400649123 +31045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.109409671 -0.400649123 +31048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.07987754 -0.400649123 +31046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.392093088 -0.400649123 +31049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.39593323 -0.400649123 +31051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.422637068 -0.400649123 +31050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.306255986 -0.400649123 +31047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.161547191 -0.400649123 +31052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.725131511 -0.400649123 +31054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.512632975 -0.400649123 +31053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.425985607 -0.400649123 +31057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.569707965 -0.400649123 +31055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.425695634 -0.400649123 +31056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.083349178 -0.400649123 +31058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.028737277 -0.400649123 +31059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.332711818 -0.400649123 +31060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.313550016 -0.400649123 +31061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.288187249 -0.400649123 +31062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.673674178 -0.400649123 +31063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.360211373 -0.400649123 +31064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.5993238 -0.400649123 +31065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.631416672 -0.400649123 +31066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.010212175 -0.400649123 +31068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.027355475 -0.400649123 +31067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.423815023 -0.400649123 +31070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.121943874 -0.400649123 +31071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.738627262 -0.400649123 +31072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.018118235 -0.400649123 +31074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.653770449 -0.400649123 +31069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.559207645 -0.400649123 +31073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.52852421 -0.400649123 +31075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.663482746 -0.400649123 +31076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.472433204 -0.400649123 +31080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.114179789 -0.400649123 +31077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.729467104 -0.400649123 +31082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.05204756 -0.400649123 +31079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.570840484 -0.400649123 +31078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.047424976 -0.400649123 +31083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.414412454 -0.400649123 +31084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.413715729 -0.400649123 +31086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.38678465 -0.400649123 +31081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.8455107 -0.400649123 +31085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.575882063 -0.400649123 +31087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.066191215 -0.400649123 +31088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.816037544 -0.400649123 +31090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.141007749 -0.400649123 +31089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.336795055 -0.400649123 +31091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.160758072 -0.400649123 +31092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.005678027 -0.400649123 +31093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.392413504 -0.400649123 +31095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.030989699 -0.400649123 +31096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.630394699 -0.400649123 +31097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.586191087 -0.400649123 +31094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.151072863 -0.400649123 +31099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.783122053 -0.400649123 +31100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.355179992 -0.400649123 +31098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.178129468 -0.400649123 +31102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.544103073 -0.400649123 +31103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.041443197 -0.400649123 +31104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.193119001 -0.400649123 +31105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.146411214 -0.400649123 +31106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.60007859 -0.400649123 +31108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.141519902 -0.400649123 +31101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.523311818 -0.400649123 +31107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.068507579 -0.400649123 +31109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.592203821 -0.400649123 +31110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.797431135 -0.400649123 +31111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.056619964 -0.400649123 +31112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.179397872 -0.400649123 +31113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.219193996 -0.400649123 +31114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.093463574 -0.400649123 +31115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.527699887 -0.400649123 +31117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.602779549 -0.400649123 +31118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.355696512 -0.400649123 +31119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.516583438 -0.400649123 +31116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.104420976 -0.400649123 +31120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.541622279 -0.400649123 +31121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.595468404 -0.400649123 +31122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.791270264 -0.400649123 +31124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.465296841 -0.400649123 +31125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.637344705 -0.400649123 +31126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.082799943 -0.400649123 +31127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.043524394 -0.400649123 +31128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.497208598 -0.400649123 +31123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.633560131 -0.400649123 +31130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.015511438 -0.400649123 +31131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.444786671 -0.400649123 +31129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.049274356 -0.400649123 +31133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.163348962 -0.400649123 +31134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.481754695 -0.400649123 +31132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.542816366 -0.400649123 +31135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.679303515 -0.400649123 +31136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.662378711 -0.400649123 +31137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.468673962 -0.400649123 +31138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.905210168 -0.400649123 +31139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.619288966 -0.400649123 +31141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.624233963 -0.400649123 +31142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.653733994 -0.400649123 +31143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.143149699 -0.400649123 +31140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.69767501 -0.400649123 +31146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.491136855 -0.400649123 +31145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.792178524 -0.400649123 +31147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.270943906 -0.400649123 +31148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.78213186 -0.400649123 +31149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.84712749 -0.400649123 +31151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.444287153 -0.400649123 +31150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.159188717 -0.400649123 +31144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.292402739 -0.400649123 +31152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.583239772 -0.400649123 +31153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.715525019 -0.400649123 +31154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.739716372 -0.400649123 +31155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.802602052 -0.400649123 +31157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.196439783 -0.400649123 +31159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.644436387 -0.400649123 +31158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.377715 -0.400649123 +31156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.644774301 -0.400649123 +31161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.384081175 -0.400649123 +31162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.688648061 -0.400649123 +31163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.570359096 -0.400649123 +31160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.766868787 -0.400649123 +31164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.01790996 -0.400649123 +31167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.459258794 -0.400649123 +31166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.275078402 -0.400649123 +31168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.020616961 -0.400649123 +31165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.277266689 -0.400649123 +31170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.420740391 -0.400649123 +31171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.040028403 -0.400649123 +31172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.523049705 -0.400649123 +31169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.356874437 -0.400649123 +31175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.029409068 -0.400649123 +31174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.423566823 -0.400649123 +31173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.275497878 -0.400649123 +31176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.662739732 -0.400649123 +31177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.217171564 -0.400649123 +31178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.05403361 -0.400649123 +31179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.725432815 -0.400649123 +31181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.243609853 -0.400649123 +31180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.635778015 -0.400649123 +31182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.348719379 -0.400649123 +31184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.556942323 -0.400649123 +31185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.721543884 -0.400649123 +31183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.771954197 -0.400649123 +31186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.786824033 -0.400649123 +31187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.056104504 -0.400649123 +31188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.05519419 -0.400649123 +31190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.181213646 -0.400649123 +31191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.384039238 -0.400649123 +31192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.00201722 -0.400649123 +31189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.346827017 -0.400649123 +31193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.424871297 -0.400649123 +31195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.219548452 -0.400649123 +31196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.677739973 -0.400649123 +31194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.376423542 -0.400649123 +31198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.183019301 -0.400649123 +31200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.033747275 -0.400649123 +31199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 1.60E-04 -0.400649123 +31201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.244533255 -0.400649123 +31203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.12262345 -0.400649123 +31197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.485095821 -0.400649123 +31202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.805500986 -0.400649123 +31205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.740883105 -0.400649123 +31206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.105452129 -0.400649123 +31207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.673246737 -0.400649123 +31204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.386087948 -0.400649123 +31208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.804464103 -0.400649123 +31209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.393010273 -0.400649123 +31210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.659007055 -0.400649123 +31211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.446808358 -0.400649123 +31212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.008616502 -0.400649123 +31213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.366204115 -0.400649123 +31215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.750451478 -0.400649123 +31217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.701699788 -0.400649123 +31216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.347398562 -0.400649123 +31214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.12461724 -0.400649123 +31218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.57810076 -0.400649123 +31220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.650741322 -0.400649123 +31221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.052833855 -0.400649123 +31222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.059375404 -0.400649123 +31219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.715481011 -0.400649123 +31223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.081936889 -0.400649123 +31225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.007077 -0.400649123 +31224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.364024925 -0.400649123 +31226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.190645395 -0.400649123 +31227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.334972444 -0.400649123 +31229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.60019983 -0.400649123 +31228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.321647877 -0.400649123 +31230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.51512485 -0.400649123 +31231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.149787061 -0.400649123 +31232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.625980219 -0.400649123 +31235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.408903633 -0.400649123 +31233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.772475554 -0.400649123 +31236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.674976331 -0.400649123 +31234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.547270763 -0.400649123 +31238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.780012354 -0.400649123 +31237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.301572604 -0.400649123 +31239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.381698001 -0.400649123 +31241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.425441297 -0.400649123 +31240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.709721706 -0.400649123 +31243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.398630575 -0.400649123 +31244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.723366416 -0.400649123 +31245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.511023269 -0.400649123 +31246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.691058438 -0.400649123 +31242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.584783611 -0.400649123 +31247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.104949241 -0.400649123 +31248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.669204997 -0.400649123 +31249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.421007178 -0.400649123 +31251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.327582851 -0.400649123 +31250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.397952225 -0.400649123 +31252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.753196527 -0.400649123 +31255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.760338821 -0.400649123 +31253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.559227199 -0.400649123 +31257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.272715458 -0.400649123 +31256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.80730355 -0.400649123 +31259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.059137317 -0.400649123 +31254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.726314191 -0.400649123 +31258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.146385184 -0.400649123 +31260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.746113438 -0.400649123 +31261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.824601293 -0.400649123 +31262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.210598728 -0.400649123 +31264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.132728179 -0.400649123 +31266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.040222386 -0.400649123 +31263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.428345887 -0.400649123 +31265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.406206663 -0.400649123 +31267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.300322948 -0.400649123 +31268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.477886083 -0.400649123 +31269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.328020661 -0.400649123 +31271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.644785243 -0.400649123 +31270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.177867026 -0.400649123 +31273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.319131929 -0.400649123 +31274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.413332666 -0.400649123 +31275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.237250578 -0.400649123 +31276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.187120577 -0.400649123 +31277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.157306219 -0.400649123 +31272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.376185012 -0.400649123 +31278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.64316298 -0.400649123 +31279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.806447896 -0.400649123 +31280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.583585526 -0.400649123 +31282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.679387831 -0.400649123 +31283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.735455439 -0.400649123 +31285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.748282407 -0.400649123 +31284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.0365787 -0.400649123 +31287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.577197326 -0.400649123 +31286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.258422913 -0.400649123 +31281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.392084522 -0.400649123 +31288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.024622215 -0.400649123 +31289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.423379672 -0.400649123 +31290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.422432988 -0.400649123 +31292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.069469519 -0.400649123 +31293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.142917024 -0.400649123 +31296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.167944771 -0.400649123 +31294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.453020567 -0.400649123 +31295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.480054171 -0.400649123 +31291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.196389255 -0.400649123 +31298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.22638087 -0.400649123 +31297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.723341152 -0.400649123 +31299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.172968249 -0.400649123 +31302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.080718925 -0.400649123 +31301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.525343221 -0.400649123 +31300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.782971159 -0.400649123 +31304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.348610319 -0.400649123 +31303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.25102672 -0.400649123 +31305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.284670303 -0.400649123 +31306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.023640892 -0.400649123 +31308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.55081099 -0.400649123 +31309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.672935327 -0.400649123 +31310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.150778398 -0.400649123 +31307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.776019308 -0.400649123 +31311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.243474207 -0.400649123 +31312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.126203391 -0.400649123 +31313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.584783287 -0.400649123 +31314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.171234153 -0.400649123 +31316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.116471454 -0.400649123 +31317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.720400344 -0.400649123 +31315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.459119318 -0.400649123 +31318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.101702158 -0.400649123 +31319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.635214764 -0.400649123 +31320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.112900988 -0.400649123 +31322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.822755303 -0.400649123 +31321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.028229238 -0.400649123 +31323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.274509947 -0.400649123 +31325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.538300239 -0.400649123 +31326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.306892157 -0.400649123 +31324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.004628827 -0.400649123 +31328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.191346857 -0.400649123 +31329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.324524974 -0.400649123 +31330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.64339584 -0.400649123 +31331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.288074061 -0.400649123 +31327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.003058494 -0.400649123 +31333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.790318803 -0.400649123 +31332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.385496526 -0.400649123 +31334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.380671586 -0.400649123 +31335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.496039453 -0.400649123 +31336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.777317306 -0.400649123 +31338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.587779942 -0.400649123 +31339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.137039445 -0.400649123 +31340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.349017584 -0.400649123 +31341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.134884182 -0.400649123 +31337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.574193967 -0.400649123 +31343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.179889683 -0.400649123 +31345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.357681774 -0.400649123 +31344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.56040716 -0.400649123 +31346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.036048268 -0.400649123 +31347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.482908072 -0.400649123 +31342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.477377171 -0.400649123 +31348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.819397143 -0.400649123 +31350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.251194183 -0.400649123 +31349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.198513195 -0.400649123 +31351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.599061479 -0.400649123 +31353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.469471594 -0.400649123 +31352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.153463951 -0.400649123 +31354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.232090409 -0.400649123 +31355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.148095263 -0.400649123 +31356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.568551322 -0.400649123 +31357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.005899418 -0.400649123 +31360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.089414461 -0.400649123 +31359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.12166188 -0.400649123 +31362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.446048005 -0.400649123 +31358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.823475487 -0.400649123 +31361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.339055267 -0.400649123 +31364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.049466391 -0.400649123 +31365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.334637762 -0.400649123 +31363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.534423137 -0.400649123 +31366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.474857702 -0.400649123 +31367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.646559832 -0.400649123 +31368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.010224048 -0.400649123 +31370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.630431745 -0.400649123 +31369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.201197534 -0.400649123 +31372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.731807996 -0.400649123 +31373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.242235849 -0.400649123 +31371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.55043251 -0.400649123 +31374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.119459549 -0.400649123 +31375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.335333849 -0.400649123 +31376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.332102644 -0.400649123 +31379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.565130751 -0.400649123 +31377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.525249797 -0.400649123 +31381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.153231241 -0.400649123 +31380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.481115852 -0.400649123 +31378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.320278407 -0.400649123 +31382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.129185659 -0.400649123 +31383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.461345083 -0.400649123 +31385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.530323167 -0.400649123 +31386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.613276062 -0.400649123 +31384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.720291815 -0.400649123 +31390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.414275313 -0.400649123 +31389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.494414265 -0.400649123 +31388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.869275897 -0.400649123 +31387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.134508281 -0.400649123 +31391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.595193774 -0.400649123 +31392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.330777636 -0.400649123 +31394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.732926544 -0.400649123 +31393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.005625775 -0.400649123 +31395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.623002322 -0.400649123 +31396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.678718739 -0.400649123 +31397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.611068627 -0.400649123 +31398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.018003911 -0.400649123 +31399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.357061172 -0.400649123 +31401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.634088595 -0.400649123 +31400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.09297675 -0.400649123 +31402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.050593612 -0.400649123 +31403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.566962803 -0.400649123 +31406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.012395862 -0.400649123 +31405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.768633278 -0.400649123 +31407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.73416053 -0.400649123 +31409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.409753274 -0.400649123 +31404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.201998093 -0.400649123 +31408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.608625999 -0.400649123 +31411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.404018908 -0.400649123 +31410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.435499622 -0.400649123 +31413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.521783933 -0.400649123 +31414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.372432878 -0.400649123 +31415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.629116892 -0.400649123 +31416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.297336589 -0.400649123 +31417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.270452471 -0.400649123 +31412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.125186728 -0.400649123 +31419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.545069718 -0.400649123 +31420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.084830636 -0.400649123 +31418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.417315938 -0.400649123 +31421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.170864988 -0.400649123 +31422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.564171794 -0.400649123 +31425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.304630148 -0.400649123 +31424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.618350232 -0.400649123 +31423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.174003123 -0.400649123 +31426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.795198716 -0.400649123 +31427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.644815689 -0.400649123 +31428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.538027227 -0.400649123 +31429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.256176048 -0.400649123 +31430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.519677479 -0.400649123 +31432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.343893906 -0.400649123 +31431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.40745417 -0.400649123 +31433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.482173108 -0.400649123 +31435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.130476543 -0.400649123 +31434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.146680271 -0.400649123 +31436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.582315228 -0.400649123 +31437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.432033989 -0.400649123 +31438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.269337476 -0.400649123 +31439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.585390611 -0.400649123 +31440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.343102866 -0.400649123 +31441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.55391946 -0.400649123 +31442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.726310767 -0.400649123 +31443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.125978566 -0.400649123 +31444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.289761128 -0.400649123 +31445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.202459492 -0.400649123 +31446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.216902902 -0.400649123 +31448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.690669323 -0.400649123 +31447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.060497189 -0.400649123 +31449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.255104868 -0.400649123 +31450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.787049707 -0.400649123 +31451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.199262749 -0.400649123 +31452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.248527537 -0.400649123 +31453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.453767732 -0.400649123 +31454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.377896391 -0.400649123 +31456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.352262678 -0.400649123 +31458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.703552253 -0.400649123 +31457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.439528092 -0.400649123 +31459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.740165463 -0.400649123 +31455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.593083194 -0.400649123 +31460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.456177024 -0.400649123 +31461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.200826601 -0.400649123 +31462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.554088976 -0.400649123 +31463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.684249911 -0.400649123 +31464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.328459995 -0.400649123 +31467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.319879307 -0.400649123 +31466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.343755881 -0.400649123 +31468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.142056303 -0.400649123 +31469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.043008779 -0.400649123 +31465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.578072472 -0.400649123 +31470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.183875096 -0.400649123 +31471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.59701839 -0.400649123 +31473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.722839577 -0.400649123 +31474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.516211681 -0.400649123 +31475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.23561967 -0.400649123 +31472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.517937036 -0.400649123 +31476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.660400978 -0.400649123 +31477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.736125035 -0.400649123 +31478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.298088709 -0.400649123 +31479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.518209218 -0.400649123 +31480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.383168855 -0.400649123 +31482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.363526784 -0.400649123 +31483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.40206191 -0.400649123 +31484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.598762788 -0.400649123 +31481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.391570678 -0.400649123 +31486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.592590912 -0.400649123 +31485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.398847057 -0.400649123 +31487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.256434286 -0.400649123 +31488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.356582121 -0.400649123 +31490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.142650605 -0.400649123 +31491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.730266918 -0.400649123 +31492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.836122132 -0.400649123 +31493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.87270014 -0.400649123 +31494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.698350482 -0.400649123 +31495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.806720587 -0.400649123 +31489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.004510029 -0.400649123 +31496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.179549781 -0.400649123 +31497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.060020767 -0.400649123 +31498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.054990003 -0.400649123 +31500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.093662449 -0.400649123 +31499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.66289551 -0.400649123 +31502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.43462452 -0.400649123 +31503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.622402134 -0.400649123 +31501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.149669137 -0.400649123 +31506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.640214458 -0.400649123 +31505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.6452079 -0.400649123 +31504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.615397579 -0.400649123 +31508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.30453528 -0.400649123 +31507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.114124003 -0.400649123 +31510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.626499886 -0.400649123 +31509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.865634035 -0.400649123 +31511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.258578988 -0.400649123 +31513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.81845967 -0.400649123 +31514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.395588398 -0.400649123 +31512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.310750535 -0.400649123 +31515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.779746584 -0.400649123 +31516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.221224013 -0.400649123 +31517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.815188503 -0.400649123 +31520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.317643927 -0.400649123 +31519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.525788158 -0.400649123 +31518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.541154528 -0.400649123 +31523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.816967693 -0.400649123 +31521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.257474849 -0.400649123 +31524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.144499445 -0.400649123 +31522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.03126417 -0.400649123 +31525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.349108163 -0.400649123 +31526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.606808105 -0.400649123 +31527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.048535114 -0.400649123 +31529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.695290466 -0.400649123 +31530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.652824917 -0.400649123 +31528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.805179537 -0.400649123 +31531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.77330446 -0.400649123 +31532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.336919645 -0.400649123 +31533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.164161269 -0.400649123 +31534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.323481055 -0.400649123 +31535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.621804184 -0.400649123 +31537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.002339214 -0.400649123 +31538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.379335417 -0.400649123 +31539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.443590626 -0.400649123 +31536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.704915781 -0.400649123 +31542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.642210615 -0.400649123 +31540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.044431942 -0.400649123 +31543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.215783576 -0.400649123 +31541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.678118461 -0.400649123 +31544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.626051543 -0.400649123 +31547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.647176074 -0.400649123 +31546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.222485192 -0.400649123 +31545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.129959425 -0.400649123 +31549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.848090733 -0.400649123 +31550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.19278573 -0.400649123 +31548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.208410798 -0.400649123 +31551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.844154338 -0.400649123 +31552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.595794742 -0.400649123 +31553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.288875449 -0.400649123 +31554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.876707535 -0.400649123 +31555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.091156949 -0.400649123 +31558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.652747344 -0.400649123 +31556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.823443999 -0.400649123 +31557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.620609075 -0.400649123 +31560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.017444437 -0.400649123 +31559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.749494881 -0.400649123 +31561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.732078281 -0.400649123 +31562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.305196429 -0.400649123 +31563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.329523324 -0.400649123 +31564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.364521875 -0.400649123 +31566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.186664951 -0.400649123 +31565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.714955498 -0.400649123 +31568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.746862677 -0.400649123 +31569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.117180176 -0.400649123 +31570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.580790921 -0.400649123 +31567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.456173057 -0.400649123 +31571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.445959405 -0.400649123 +31572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.397487538 -0.400649123 +31573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.677430729 -0.400649123 +31576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.704123018 -0.400649123 +31578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.466236941 -0.400649123 +31577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -3.43E-05 -0.400649123 +31575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.582745298 -0.400649123 +31574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.114367191 -0.400649123 +31579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.497463105 -0.400649123 +31581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.03283998 -0.400649123 +31580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.356969006 -0.400649123 +31583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.437454966 -0.400649123 +31582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.073110875 -0.400649123 +31584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.111660547 -0.400649123 +31585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.677368175 -0.400649123 +31588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.610620054 -0.400649123 +31589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.825443296 -0.400649123 +31586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.27493228 -0.400649123 +31587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.482977713 -0.400649123 +31592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.361856496 -0.400649123 +31591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.51052917 -0.400649123 +31593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.394226925 -0.400649123 +31590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.156889705 -0.400649123 +31594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.40311267 -0.400649123 +31595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.335729034 -0.400649123 +31596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.440259039 -0.400649123 +31599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.502083943 -0.400649123 +31597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.123911791 -0.400649123 +31598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.511721448 -0.400649123 +31600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.774248039 -0.400649123 +31601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.76596698 -0.400649123 +31602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.535896323 -0.400649123 +31603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.442974696 -0.400649123 +31605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.390334539 -0.400649123 +31609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.404758269 -0.400649123 +31608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.565935989 -0.400649123 +31604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.499122012 -0.400649123 +31606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.511261898 -0.400649123 +31610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.106554462 -0.400649123 +31607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.564521199 -0.400649123 +31611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.432117547 -0.400649123 +31612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.497504975 -0.400649123 +31613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.261298845 -0.400649123 +31617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.108868452 -0.400649123 +31616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.042628785 -0.400649123 +31618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.288335514 -0.400649123 +31614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.617436569 -0.400649123 +31615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.425359144 -0.400649123 +31619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.060751636 -0.400649123 +31620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.393874478 -0.400649123 +31621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.4445671 -0.400649123 +31622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.725213462 -0.400649123 +31623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.31963696 -0.400649123 +31624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.710155279 -0.400649123 +31625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.277595664 -0.400649123 +31627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.600612138 -0.400649123 +31626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.843625897 -0.400649123 +31628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.709654465 -0.400649123 +31629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.580106163 -0.400649123 +31630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.368475686 -0.400649123 +31631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.006397662 -0.400649123 +31632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.471615263 -0.400649123 +31634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.492083513 -0.400649123 +31633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.318352154 -0.400649123 +31635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.483121129 -0.400649123 +31636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.606420171 -0.400649123 +31637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.066099411 -0.400649123 +31639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.344906309 -0.400649123 +31638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.165632616 -0.400649123 +31640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.249208111 -0.400649123 +31641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.124048474 -0.400649123 +31642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.779189296 -0.400649123 +31644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.09564161 -0.400649123 +31643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.439070524 -0.400649123 +31646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.678958422 -0.400649123 +31647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.741985265 -0.400649123 +31645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.636480847 -0.400649123 +31648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.526481188 -0.400649123 +31650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.403963528 -0.400649123 +31649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.473575081 -0.400649123 +31651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.544057183 -0.400649123 +31652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.397464219 -0.400649123 +31655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.631930622 -0.400649123 +31654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.012035744 -0.400649123 +31653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.233500974 -0.400649123 +31656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.050738598 -0.400649123 +31657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.417070706 -0.400649123 +31659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.186820357 -0.400649123 +31658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.522220106 -0.400649123 +31662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.630631631 -0.400649123 +31660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.238056903 -0.400649123 +31663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.201086755 -0.400649123 +31661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.023750189 -0.400649123 +31665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.069752848 -0.400649123 +31664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.603060508 -0.400649123 +31666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.755214204 -0.400649123 +31667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.218540607 -0.400649123 +31668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.474939866 -0.400649123 +31670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.161824676 -0.400649123 +31669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.641536806 -0.400649123 +31671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.146102116 -0.400649123 +31673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.200032014 -0.400649123 +31672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.592232157 -0.400649123 +31674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.310085938 -0.400649123 +31675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.083147799 -0.400649123 +31676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.685076805 -0.400649123 +31677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.469752078 -0.400649123 +31679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.738155582 -0.400649123 +31680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.663978215 -0.400649123 +31678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.073644974 -0.400649123 +31681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.682367075 -0.400649123 +31682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.250429487 -0.400649123 +31683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.129923242 -0.400649123 +31684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.044668038 -0.400649123 +31685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.693609346 -0.400649123 +31687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.732582593 -0.400649123 +31686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.617891535 -0.400649123 +31688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.271597765 -0.400649123 +31689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.638085147 -0.400649123 +31690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.241920292 -0.400649123 +31691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.301004344 -0.400649123 +31692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.583933059 -0.400649123 +31693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.187337465 -0.400649123 +31695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.334736484 -0.400649123 +31694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.586015026 -0.400649123 +31698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.136380258 -0.400649123 +31696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.580279779 -0.400649123 +31699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.132351852 -0.400649123 +31700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.09755281 -0.400649123 +31697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.410098494 -0.400649123 +31701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.375936625 -0.400649123 +31702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.306867519 -0.400649123 +31703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.178134715 -0.400649123 +31704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.600196198 -0.400649123 +31705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.305951599 -0.400649123 +31708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.235899785 -0.400649123 +31707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.564355583 -0.400649123 +31706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.484757154 -0.400649123 +31710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.500473195 -0.400649123 +31711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.639999831 -0.400649123 +31709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.647351065 -0.400649123 +31712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.745537517 -0.400649123 +31715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.534505222 -0.400649123 +31714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.495046882 -0.400649123 +31717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.134881029 -0.400649123 +31718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.032356241 -0.400649123 +31716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.240267982 -0.400649123 +31719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.642107488 -0.400649123 +31713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.189113471 -0.400649123 +31720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.306557651 -0.400649123 +31721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.439967763 -0.400649123 +31722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.155864749 -0.400649123 +31724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.755440089 -0.400649123 +31725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.643806744 -0.400649123 +31723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.089906953 -0.400649123 +31727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.749656436 -0.400649123 +31726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.59927201 -0.400649123 +31728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.576905382 -0.400649123 +31729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.326811229 -0.400649123 +31731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.409968052 -0.400649123 +31730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.305423799 -0.400649123 +31732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.530156477 -0.400649123 +31733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.73988262 -0.400649123 +31736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.346063311 -0.400649123 +31735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.632966782 -0.400649123 +31737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.792306254 -0.400649123 +31738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.053103342 -0.400649123 +31734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.066174585 -0.400649123 +31739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.42755662 -0.400649123 +31740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.298659612 -0.400649123 +31741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.619467885 -0.400649123 +31742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.105709163 -0.400649123 +31743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.677811272 -0.400649123 +31744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.283808461 -0.400649123 +31747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.669569261 -0.400649123 +31746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.304561357 -0.400649123 +31745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.175329434 -0.400649123 +31749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.498559745 -0.400649123 +31748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.584054867 -0.400649123 +31750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.333206402 -0.400649123 +31751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.375481912 -0.400649123 +31752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.036434378 -0.400649123 +31753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.351183073 -0.400649123 +31755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.797408575 -0.400649123 +31754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.151716324 -0.400649123 +31756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.599772169 -0.400649123 +31757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.641589704 -0.400649123 +31758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.007955376 -0.400649123 +31759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.438008082 -0.400649123 +31761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.632836821 -0.400649123 +31762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.797739862 -0.400649123 +31760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.032559277 -0.400649123 +31763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.683448628 -0.400649123 +31765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.079481295 -0.400649123 +31764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.195321312 -0.400649123 +31766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.877758371 -0.400649123 +31769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.222630852 -0.400649123 +31768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.20621699 -0.400649123 +31770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.42701109 -0.400649123 +31767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.543305707 -0.400649123 +31771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.422576295 -0.400649123 +31773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.383980706 -0.400649123 +31772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.244051528 -0.400649123 +31774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.789949249 -0.400649123 +31775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.022598007 -0.400649123 +31777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.154155848 -0.400649123 +31776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.711223275 -0.400649123 +31778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.101557831 -0.400649123 +31780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.312552401 -0.400649123 +31779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.464454146 -0.400649123 +31781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.240449458 -0.400649123 +31783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.538363277 -0.400649123 +31785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.690155196 -0.400649123 +31784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.268751712 -0.400649123 +31782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.108895792 -0.400649123 +31789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.226189094 -0.400649123 +31786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.116323199 -0.400649123 +31787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.09509013 -0.400649123 +31788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.300846935 -0.400649123 +31790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.67958269 -0.400649123 +31792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.596056149 -0.400649123 +31793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.425927172 -0.400649123 +31791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.33084632 -0.400649123 +31794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.07978571 -0.400649123 +31795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.676496391 -0.400649123 +31796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.42454064 -0.400649123 +31797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.386232387 -0.400649123 +31799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.184617176 -0.400649123 +31800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.171359575 -0.400649123 +31801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.032049449 -0.400649123 +31802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.761228283 -0.400649123 +31803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.556608431 -0.400649123 +31798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.329468702 -0.400649123 +31804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.22960987 -0.400649123 +31805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.349923427 -0.400649123 +31806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.557816975 -0.400649123 +31808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.452770262 -0.400649123 +31807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.409500729 -0.400649123 +31811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.192500763 -0.400649123 +31810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.047503202 -0.400649123 +31809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.049854462 -0.400649123 +31812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.031454953 -0.400649123 +31813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.462944494 -0.400649123 +31814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.611684862 -0.400649123 +31816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.133345511 -0.400649123 +31817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.214685048 -0.400649123 +31818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.514287385 -0.400649123 +31815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.08227395 -0.400649123 +31819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.596774581 -0.400649123 +31820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.155967898 -0.400649123 +31822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.58073652 -0.400649123 +31824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.29803219 -0.400649123 +31821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.314166282 -0.400649123 +31826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.52561666 -0.400649123 +31825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.268975378 -0.400649123 +31823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.357710036 -0.400649123 +31827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.105375654 -0.400649123 +31831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.293825146 -0.400649123 +31830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.169222104 -0.400649123 +31828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.419141473 -0.400649123 +31829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.268519233 -0.400649123 +31832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.330265603 -0.400649123 +31833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.080744442 -0.400649123 +31834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.501135531 -0.400649123 +31835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.215778551 -0.400649123 +31836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.149984581 -0.400649123 +31838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.424796871 -0.400649123 +31840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.3357704 -0.400649123 +31837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.176318434 -0.400649123 +31839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.583528631 -0.400649123 +31841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.228818151 -0.400649123 +31842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.772542084 -0.400649123 +31843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.681246132 -0.400649123 +31844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.82165335 -0.400649123 +31845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.074160652 -0.400649123 +31847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.031996427 -0.400649123 +31850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.85599996 -0.400649123 +31848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.409469941 -0.400649123 +31846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.76810377 -0.400649123 +31849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.22536427 -0.400649123 +31851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.586088571 -0.400649123 +31852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.643896744 -0.400649123 +31853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.050541596 -0.400649123 +31854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.796376318 -0.400649123 +31855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.770839605 -0.400649123 +31857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.005967562 -0.400649123 +31858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.501675464 -0.400649123 +31859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.691356788 -0.400649123 +31856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.15169865 -0.400649123 +31860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.444191145 -0.400649123 +31861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.367158352 -0.400649123 +31862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.463455562 -0.400649123 +31864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.449485438 -0.400649123 +31863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.074277689 -0.400649123 +31866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.59416782 -0.400649123 +31867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.759280574 -0.400649123 +31865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.694799998 -0.400649123 +31868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.899962265 -0.400649123 +31869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.405059665 -0.400649123 +31870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.523464568 -0.400649123 +31872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.646950184 -0.400649123 +31871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.067589527 -0.400649123 +31873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.025016179 -0.400649123 +31875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.49786552 -0.400649123 +31874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.773791315 -0.400649123 +31876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.663971858 -0.400649123 +31877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.144561671 -0.400649123 +31878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.422601949 -0.400649123 +31879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.723686182 -0.400649123 +31880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.633961968 -0.400649123 +31881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.24063761 -0.400649123 +31882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.266699079 -0.400649123 +31884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.361624672 -0.400649123 +31883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.100007917 -0.400649123 +31885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.322173637 -0.400649123 +31886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.65430322 -0.400649123 +31887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.266785002 -0.400649123 +31889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.393087333 -0.400649123 +31888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.406758023 -0.400649123 +31891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.011729486 -0.400649123 +31890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.200345196 -0.400649123 +31893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.651151104 -0.400649123 +31892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.603215911 -0.400649123 +31895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.332186568 -0.400649123 +31894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.093601179 -0.400649123 +31896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.724776923 -0.400649123 +31897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.20749964 -0.400649123 +31898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.376758757 -0.400649123 +31899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.419382495 -0.400649123 +31900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.751445244 -0.400649123 +31901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.70054448 -0.400649123 +31902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.302525492 -0.400649123 +31903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.006229128 -0.400649123 +31904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.240587972 -0.400649123 +31905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.457246104 -0.400649123 +31906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.067664451 -0.400649123 +31907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.375133959 -0.400649123 +31908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.550571146 -0.400649123 +31909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.793645545 -0.400649123 +31911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.266634075 -0.400649123 +31910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.144617023 -0.400649123 +31914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.492544566 -0.400649123 +31913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.32668373 -0.400649123 +31912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.569279275 -0.400649123 +31916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.444925719 -0.400649123 +31915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.315692248 -0.400649123 +31918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.437324281 -0.400649123 +31919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.173759697 -0.400649123 +31917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.359232556 -0.400649123 +31920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.133457984 -0.400649123 +31922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.188131109 -0.400649123 +31921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.638534437 -0.400649123 +31923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.685862943 -0.400649123 +31924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.064229972 -0.400649123 +31925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.309852647 -0.400649123 +31928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.670286672 -0.400649123 +31926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.552364346 -0.400649123 +31929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.6857431 -0.400649123 +31930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.608142387 -0.400649123 +31927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.061582126 -0.400649123 +31931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.77982127 -0.400649123 +31932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.765256215 -0.400649123 +31934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.035081491 -0.400649123 +31935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.014710346 -0.400649123 +31933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.559095158 -0.400649123 +31936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.36469371 -0.400649123 +31937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.661586194 -0.400649123 +31938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.65030574 -0.400649123 +31939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.715965215 -0.400649123 +31940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.601185335 -0.400649123 +31941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.27362252 -0.400649123 +31945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.175260146 -0.400649123 +31944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.322256643 -0.400649123 +31942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.393231164 -0.400649123 +31943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.074926398 -0.400649123 +31946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.109540677 -0.400649123 +31947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.062633794 -0.400649123 +31948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.085407974 -0.400649123 +31949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.681073501 -0.400649123 +31951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.044029724 -0.400649123 +31952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.67331923 -0.400649123 +31950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.265765793 -0.400649123 +31953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.56715245 -0.400649123 +31955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.327672288 -0.400649123 +31956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.367722554 -0.400649123 +31954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.080211604 -0.400649123 +31957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.676444208 -0.400649123 +31958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.610357654 -0.400649123 +31959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.54103348 -0.400649123 +31960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.583178467 -0.400649123 +31961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.807261746 -0.400649123 +31962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.412739042 -0.400649123 +31963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.684020397 -0.400649123 +31965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.140454974 -0.400649123 +31964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.099155114 -0.400649123 +31966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.726436378 -0.400649123 +31967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.130396338 -0.400649123 +31968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.015101369 -0.400649123 +31969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.144670145 -0.400649123 +31970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.459522203 -0.400649123 +31971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.806538096 -0.400649123 +31975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.372144811 -0.400649123 +31974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.14744417 -0.400649123 +31972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.669315183 -0.400649123 +31976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.472825146 -0.400649123 +31977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.587167887 -0.400649123 +31973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.056172428 -0.400649123 +31978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.729184811 -0.400649123 +31979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.525402275 -0.400649123 +31982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.713726241 -0.400649123 +31981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.582343666 -0.400649123 +31980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.745297485 -0.400649123 +31983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.437847544 -0.400649123 +31984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.205716845 -0.400649123 +31986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.026805246 -0.400649123 +31985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.015745377 -0.400649123 +31987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.229852771 -0.400649123 +31988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.006765118 -0.400649123 +31989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.708065233 -0.400649123 +31990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.316959093 -0.400649123 +31991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.281416534 -0.400649123 +31993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 0.011438319 -0.400649123 +31992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.380169111 -0.400649123 +31994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.393577006 -0.400649123 +31995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.328610995 -0.400649123 +31996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.098332178 -0.400649123 +31997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.34282024 -0.400649123 +31999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.523412649 -0.400649123 +32000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.226517253 -0.400649123 +31998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.55 10 1 -0.441615854 -0.400649123 +32001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.109041741 -0.385357009 +32003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.066371653 -0.385357009 +32002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.0357301 -0.385357009 +32004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.05008224 -0.385357009 +32005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.10690629 -0.385357009 +32008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.279568807 -0.385357009 +32006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.489712065 -0.385357009 +32009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.166158074 -0.385357009 +32007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.228023466 -0.385357009 +32012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.383588408 -0.385357009 +32013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.055201203 -0.385357009 +32010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.002181528 -0.385357009 +32014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.690966523 -0.385357009 +32015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.176045482 -0.385357009 +32017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.174758006 -0.385357009 +32016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.535826511 -0.385357009 +32011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.092289804 -0.385357009 +32018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.712944936 -0.385357009 +32019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.425143725 -0.385357009 +32020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.070793781 -0.385357009 +32021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.043644674 -0.385357009 +32022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.35628212 -0.385357009 +32023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.206924145 -0.385357009 +32024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.194405417 -0.385357009 +32025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.253290743 -0.385357009 +32026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.068086684 -0.385357009 +32028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.240892062 -0.385357009 +32027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.05073268 -0.385357009 +32029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.747479444 -0.385357009 +32030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.474444978 -0.385357009 +32032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.11280583 -0.385357009 +32031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.559357802 -0.385357009 +32034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.553379409 -0.385357009 +32035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.13103076 -0.385357009 +32036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.038529884 -0.385357009 +32038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.302914246 -0.385357009 +32037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.555639772 -0.385357009 +32040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.643363172 -0.385357009 +32039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.462779038 -0.385357009 +32033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.503626838 -0.385357009 +32041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.237661972 -0.385357009 +32042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.409512022 -0.385357009 +32044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.327039458 -0.385357009 +32045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.347388224 -0.385357009 +32043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.254318599 -0.385357009 +32047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.850258608 -0.385357009 +32046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.575647978 -0.385357009 +32048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.383413804 -0.385357009 +32049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.324425154 -0.385357009 +32052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.161236182 -0.385357009 +32051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.236396744 -0.385357009 +32050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.161095222 -0.385357009 +32054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.387540865 -0.385357009 +32055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.426357819 -0.385357009 +32053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.599686457 -0.385357009 +32056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.683665635 -0.385357009 +32057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.447351029 -0.385357009 +32060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.742029612 -0.385357009 +32061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.648172141 -0.385357009 +32063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.616869428 -0.385357009 +32062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.712957486 -0.385357009 +32058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.598409439 -0.385357009 +32059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.417212598 -0.385357009 +32064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.409772197 -0.385357009 +32065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.866072251 -0.385357009 +32066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.524495762 -0.385357009 +32067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.038206979 -0.385357009 +32069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.362986343 -0.385357009 +32068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.350024748 -0.385357009 +32070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.174300637 -0.385357009 +32071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.624314434 -0.385357009 +32073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.394125319 -0.385357009 +32075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.270255864 -0.385357009 +32074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.050949028 -0.385357009 +32072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.484184685 -0.385357009 +32076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.736473928 -0.385357009 +32078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.066605903 -0.385357009 +32077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.076722157 -0.385357009 +32079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.636264027 -0.385357009 +32080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.414257812 -0.385357009 +32081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.320777537 -0.385357009 +32082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.225315538 -0.385357009 +32083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.045129778 -0.385357009 +32084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.509562927 -0.385357009 +32085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.370643574 -0.385357009 +32086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.750991903 -0.385357009 +32087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.833533601 -0.385357009 +32089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.086582983 -0.385357009 +32090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.377831181 -0.385357009 +32088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.588318093 -0.385357009 +32092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.185288809 -0.385357009 +32091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.161297705 -0.385357009 +32093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.287771087 -0.385357009 +32094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.08671399 -0.385357009 +32095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.417795001 -0.385357009 +32096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.541906481 -0.385357009 +32097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.763617733 -0.385357009 +32098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.51023124 -0.385357009 +32099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.099355348 -0.385357009 +32101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.59379745 -0.385357009 +32100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.690068241 -0.385357009 +32102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.47922001 -0.385357009 +32104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.426031401 -0.385357009 +32103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.064271349 -0.385357009 +32106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.778183472 -0.385357009 +32107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.141149576 -0.385357009 +32108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.736244988 -0.385357009 +32105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.383642503 -0.385357009 +32110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.226711649 -0.385357009 +32109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.697988844 -0.385357009 +32112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.033466412 -0.385357009 +32113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.786960715 -0.385357009 +32114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.008495894 -0.385357009 +32115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.706807763 -0.385357009 +32116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.03855298 -0.385357009 +32111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.614530649 -0.385357009 +32117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.076034751 -0.385357009 +32119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.443250869 -0.385357009 +32120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.71227233 -0.385357009 +32121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.662014414 -0.385357009 +32122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.065250237 -0.385357009 +32118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.217124638 -0.385357009 +32124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.479024468 -0.385357009 +32123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.096964349 -0.385357009 +32125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.22188258 -0.385357009 +32127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.580836455 -0.385357009 +32128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.495006716 -0.385357009 +32126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.175308082 -0.385357009 +32131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.591173682 -0.385357009 +32132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.630365797 -0.385357009 +32129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.589734642 -0.385357009 +32130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.531585128 -0.385357009 +32133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.210525666 -0.385357009 +32134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.036896233 -0.385357009 +32135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.298592538 -0.385357009 +32139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.522178609 -0.385357009 +32136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.111084985 -0.385357009 +32138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.476337229 -0.385357009 +32137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.420400815 -0.385357009 +32140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.334299137 -0.385357009 +32142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.371001987 -0.385357009 +32143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.627239695 -0.385357009 +32141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.776414842 -0.385357009 +32144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.105292625 -0.385357009 +32146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.008138774 -0.385357009 +32145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.34735284 -0.385357009 +32147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.040543825 -0.385357009 +32150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.021886483 -0.385357009 +32151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.220859558 -0.385357009 +32148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.066453366 -0.385357009 +32153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.191612215 -0.385357009 +32149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.571764634 -0.385357009 +32152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.265958916 -0.385357009 +32154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.255895622 -0.385357009 +32155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.412944586 -0.385357009 +32157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.360807079 -0.385357009 +32160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.454454839 -0.385357009 +32158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.13861516 -0.385357009 +32161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.008366149 -0.385357009 +32159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.168563253 -0.385357009 +32156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.172354196 -0.385357009 +32163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.159692165 -0.385357009 +32162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.050835256 -0.385357009 +32164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.576381521 -0.385357009 +32165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.378323035 -0.385357009 +32168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.273459066 -0.385357009 +32169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.63234915 -0.385357009 +32170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.407004618 -0.385357009 +32171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.390911411 -0.385357009 +32167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.362310028 -0.385357009 +32166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.733360404 -0.385357009 +32172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.629235695 -0.385357009 +32173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.634054711 -0.385357009 +32175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.662190538 -0.385357009 +32174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.860966746 -0.385357009 +32177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.684610593 -0.385357009 +32176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.651930833 -0.385357009 +32179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.292807696 -0.385357009 +32178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.805450535 -0.385357009 +32183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.458738927 -0.385357009 +32182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.539051294 -0.385357009 +32181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.014811572 -0.385357009 +32180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.402812139 -0.385357009 +32184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.375682198 -0.385357009 +32185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.178273291 -0.385357009 +32186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.383570802 -0.385357009 +32187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.275735653 -0.385357009 +32188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.291069613 -0.385357009 +32189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.498807513 -0.385357009 +32190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.414236296 -0.385357009 +32191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.26176121 -0.385357009 +32192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.84172569 -0.385357009 +32193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.316333661 -0.385357009 +32194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.072731851 -0.385357009 +32196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.794687432 -0.385357009 +32197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.344502657 -0.385357009 +32195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.390403705 -0.385357009 +32198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.662338079 -0.385357009 +32199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.223797254 -0.385357009 +32200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.641052927 -0.385357009 +32201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.36581213 -0.385357009 +32202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.53476911 -0.385357009 +32203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.86815054 -0.385357009 +32204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.472242813 -0.385357009 +32207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.493739236 -0.385357009 +32206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.714596557 -0.385357009 +32208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.03133726 -0.385357009 +32209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.315392563 -0.385357009 +32205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.83372774 -0.385357009 +32212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.84395921 -0.385357009 +32211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.77228669 -0.385357009 +32210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.288375955 -0.385357009 +32213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.179211439 -0.385357009 +32214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.612167296 -0.385357009 +32215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.784798053 -0.385357009 +32217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.132280324 -0.385357009 +32216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.505300292 -0.385357009 +32218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.452952397 -0.385357009 +32219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.29384195 -0.385357009 +32220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.268818302 -0.385357009 +32221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.288315977 -0.385357009 +32222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.829567576 -0.385357009 +32223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.173727564 -0.385357009 +32225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.007285884 -0.385357009 +32226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.021777114 -0.385357009 +32227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.678978134 -0.385357009 +32228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.095333264 -0.385357009 +32229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.161560277 -0.385357009 +32230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.340445311 -0.385357009 +32224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.241187305 -0.385357009 +32231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.662598876 -0.385357009 +32233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.304912052 -0.385357009 +32232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.667645671 -0.385357009 +32235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.64566058 -0.385357009 +32234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.604916703 -0.385357009 +32237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.200437193 -0.385357009 +32236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.747760504 -0.385357009 +32238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.467058324 -0.385357009 +32239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.441431933 -0.385357009 +32241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.275129722 -0.385357009 +32240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.520138918 -0.385357009 +32243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.07657335 -0.385357009 +32242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.674623514 -0.385357009 +32244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.013501904 -0.385357009 +32245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.045179741 -0.385357009 +32247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.847620774 -0.385357009 +32249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.034888527 -0.385357009 +32248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.529187343 -0.385357009 +32246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.484014583 -0.385357009 +32250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.058729318 -0.385357009 +32251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.594136569 -0.385357009 +32252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.089138799 -0.385357009 +32253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.037363698 -0.385357009 +32254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.431940308 -0.385357009 +32256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.750917467 -0.385357009 +32255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.515772614 -0.385357009 +32257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.402019538 -0.385357009 +32258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.828128948 -0.385357009 +32259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.553513595 -0.385357009 +32260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.232288191 -0.385357009 +32261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.369527905 -0.385357009 +32262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.047230559 -0.385357009 +32263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.601304218 -0.385357009 +32264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.827140822 -0.385357009 +32268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.418394175 -0.385357009 +32265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.577097471 -0.385357009 +32267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.749374655 -0.385357009 +32269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.214542587 -0.385357009 +32266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.584306676 -0.385357009 +32270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.656076036 -0.385357009 +32271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.520580281 -0.385357009 +32275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.761430799 -0.385357009 +32272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.388645851 -0.385357009 +32273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.402462354 -0.385357009 +32274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.01833148 -0.385357009 +32279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.042765543 -0.385357009 +32278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.504908048 -0.385357009 +32276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.384764893 -0.385357009 +32282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.073908834 -0.385357009 +32280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.638725499 -0.385357009 +32277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.088697701 -0.385357009 +32281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.53927563 -0.385357009 +32283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.570189387 -0.385357009 +32284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.079942498 -0.385357009 +32285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.53776359 -0.385357009 +32286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.556143839 -0.385357009 +32288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.200449866 -0.385357009 +32289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.457282947 -0.385357009 +32291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.089007639 -0.385357009 +32290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.431579837 -0.385357009 +32287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.813523482 -0.385357009 +32292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.576016114 -0.385357009 +32293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.817384205 -0.385357009 +32295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.310805622 -0.385357009 +32294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.669836929 -0.385357009 +32296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.465649773 -0.385357009 +32298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.784719288 -0.385357009 +32297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.295969346 -0.385357009 +32299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.400658079 -0.385357009 +32301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.143948404 -0.385357009 +32302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.03888382 -0.385357009 +32303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.372438779 -0.385357009 +32300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.212575391 -0.385357009 +32304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.55399729 -0.385357009 +32305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.523933524 -0.385357009 +32307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.757631291 -0.385357009 +32306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.793237615 -0.385357009 +32308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.336616798 -0.385357009 +32309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.594804938 -0.385357009 +32310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.441809363 -0.385357009 +32312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.060653338 -0.385357009 +32311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.074432379 -0.385357009 +32313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.320441463 -0.385357009 +32314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.762502045 -0.385357009 +32315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.6760165 -0.385357009 +32316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.158978744 -0.385357009 +32317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.587300233 -0.385357009 +32319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.664901917 -0.385357009 +32318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.01480934 -0.385357009 +32320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.055865344 -0.385357009 +32321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.10357248 -0.385357009 +32322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.142386438 -0.385357009 +32324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.620620797 -0.385357009 +32323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.801067354 -0.385357009 +32325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.345584551 -0.385357009 +32326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.416673282 -0.385357009 +32327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.03592122 -0.385357009 +32329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.180024774 -0.385357009 +32328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.01469415 -0.385357009 +32330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.580052986 -0.385357009 +32331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.709496021 -0.385357009 +32333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.169180451 -0.385357009 +32334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.241006723 -0.385357009 +32335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.768746526 -0.385357009 +32337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.105513619 -0.385357009 +32336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.394389618 -0.385357009 +32332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.903157677 -0.385357009 +32338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.156926486 -0.385357009 +32339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.612621375 -0.385357009 +32341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.188489363 -0.385357009 +32340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.703309587 -0.385357009 +32344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.512925535 -0.385357009 +32342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.818167176 -0.385357009 +32345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.129106395 -0.385357009 +32343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.437194324 -0.385357009 +32346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.384485343 -0.385357009 +32347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.194138316 -0.385357009 +32348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.544768079 -0.385357009 +32349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.396741027 -0.385357009 +32350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.643169977 -0.385357009 +32353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.300182236 -0.385357009 +32351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.288453299 -0.385357009 +32352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.338916035 -0.385357009 +32354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.13152409 -0.385357009 +32355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.369506063 -0.385357009 +32356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.154395547 -0.385357009 +32358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.085917793 -0.385357009 +32357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.73190679 -0.385357009 +32359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.184003212 -0.385357009 +32360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.787129179 -0.385357009 +32362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.793125039 -0.385357009 +32363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.388065477 -0.385357009 +32364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.407979746 -0.385357009 +32361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.675411551 -0.385357009 +32366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.628567748 -0.385357009 +32365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.685273053 -0.385357009 +32368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.597253065 -0.385357009 +32370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.160261332 -0.385357009 +32367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.424281166 -0.385357009 +32369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.060450346 -0.385357009 +32371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.706427298 -0.385357009 +32374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.076431331 -0.385357009 +32372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.133194793 -0.385357009 +32373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.054043727 -0.385357009 +32375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.688446302 -0.385357009 +32376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.809330163 -0.385357009 +32377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.488606233 -0.385357009 +32378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.420027977 -0.385357009 +32379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.658863859 -0.385357009 +32380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.321522791 -0.385357009 +32381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.793035335 -0.385357009 +32383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.087226134 -0.385357009 +32384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.063451459 -0.385357009 +32382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.781414551 -0.385357009 +32386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.841689734 -0.385357009 +32387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.543315806 -0.385357009 +32388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.722648981 -0.385357009 +32385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.582987473 -0.385357009 +32390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.181731685 -0.385357009 +32389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.674019587 -0.385357009 +32391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.162382339 -0.385357009 +32393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.459486245 -0.385357009 +32392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.112776719 -0.385357009 +32396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.206449017 -0.385357009 +32395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.563586408 -0.385357009 +32394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.084414208 -0.385357009 +32397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.168831294 -0.385357009 +32398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.040646657 -0.385357009 +32399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.153919802 -0.385357009 +32400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.632067314 -0.385357009 +32402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.139251052 -0.385357009 +32403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.155552954 -0.385357009 +32401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.409135568 -0.385357009 +32404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.053046179 -0.385357009 +32406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.589576682 -0.385357009 +32405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.566846834 -0.385357009 +32407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.344634541 -0.385357009 +32408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.171413452 -0.385357009 +32410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.284148802 -0.385357009 +32412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.08748063 -0.385357009 +32409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.694018851 -0.385357009 +32411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.154727373 -0.385357009 +32413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.277648474 -0.385357009 +32414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.502018481 -0.385357009 +32416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.225978703 -0.385357009 +32415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.050476372 -0.385357009 +32417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.212510273 -0.385357009 +32418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.134216313 -0.385357009 +32419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.133521008 -0.385357009 +32421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.720324122 -0.385357009 +32422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.21128133 -0.385357009 +32424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.715150224 -0.385357009 +32423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.138523324 -0.385357009 +32425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.1865621 -0.385357009 +32427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.641071974 -0.385357009 +32426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.379030251 -0.385357009 +32428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.426798264 -0.385357009 +32420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.503667044 -0.385357009 +32429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.733325862 -0.385357009 +32430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.303772969 -0.385357009 +32431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.302009179 -0.385357009 +32432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.584737856 -0.385357009 +32433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.61795946 -0.385357009 +32434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.426711218 -0.385357009 +32436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.426850166 -0.385357009 +32435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.669169306 -0.385357009 +32437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.397966562 -0.385357009 +32438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.593988214 -0.385357009 +32439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.045116219 -0.385357009 +32441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.49108606 -0.385357009 +32442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.010597582 -0.385357009 +32440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.335613867 -0.385357009 +32444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.437187091 -0.385357009 +32445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.258949817 -0.385357009 +32447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.731978061 -0.385357009 +32446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.034286676 -0.385357009 +32443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.343371348 -0.385357009 +32448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.068858513 -0.385357009 +32450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.604938804 -0.385357009 +32449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.519268423 -0.385357009 +32452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.458714134 -0.385357009 +32451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.651621582 -0.385357009 +32453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.106068596 -0.385357009 +32454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.500780294 -0.385357009 +32456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.173481316 -0.385357009 +32455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.21030852 -0.385357009 +32457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.319217571 -0.385357009 +32458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.766078759 -0.385357009 +32459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.148664024 -0.385357009 +32460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.041676818 -0.385357009 +32462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.297258076 -0.385357009 +32461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.746237903 -0.385357009 +32465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.457746077 -0.385357009 +32466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.328882165 -0.385357009 +32464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.066534598 -0.385357009 +32467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.045299356 -0.385357009 +32463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.010459391 -0.385357009 +32468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.450161649 -0.385357009 +32469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.127050214 -0.385357009 +32470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.739002941 -0.385357009 +32471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.03857868 -0.385357009 +32472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.244919431 -0.385357009 +32475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.642400567 -0.385357009 +32474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.098423909 -0.385357009 +32473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.404532459 -0.385357009 +32476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.11975099 -0.385357009 +32478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.185274054 -0.385357009 +32477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.300842863 -0.385357009 +32479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.843020131 -0.385357009 +32481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.791370678 -0.385357009 +32480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.168594789 -0.385357009 +32482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.022812414 -0.385357009 +32484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.140826842 -0.385357009 +32483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.467626579 -0.385357009 +32485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.124941724 -0.385357009 +32486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.212247491 -0.385357009 +32487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.585693611 -0.385357009 +32490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.538487057 -0.385357009 +32489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.460263234 -0.385357009 +32488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.746020258 -0.385357009 +32493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.440290522 -0.385357009 +32491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.390982595 -0.385357009 +32494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.059428959 -0.385357009 +32495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.399484771 -0.385357009 +32492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.653169902 -0.385357009 +32497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.17781363 -0.385357009 +32496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.038481816 -0.385357009 +32498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.453518 -0.385357009 +32500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.510535006 -0.385357009 +32499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.246712247 -0.385357009 +32501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.231183823 -0.385357009 +32502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.619184692 -0.385357009 +32503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.01350211 -0.385357009 +32505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.463160624 -0.385357009 +32506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.295252195 -0.385357009 +32504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.025218828 -0.385357009 +32507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.028037579 -0.385357009 +32509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.69868637 -0.385357009 +32508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.481916399 -0.385357009 +32510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.79686077 -0.385357009 +32514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.2221444 -0.385357009 +32513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.578617422 -0.385357009 +32515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.52239501 -0.385357009 +32511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.022777695 -0.385357009 +32517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.683644118 -0.385357009 +32516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.268250728 -0.385357009 +32512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.383968542 -0.385357009 +32518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.255630243 -0.385357009 +32519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.020924036 -0.385357009 +32520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.446625479 -0.385357009 +32521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.305123801 -0.385357009 +32523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.09640081 -0.385357009 +32525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.033096976 -0.385357009 +32524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.639480425 -0.385357009 +32522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.795776425 -0.385357009 +32526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.11007835 -0.385357009 +32529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.349763889 -0.385357009 +32528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.040054167 -0.385357009 +32531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.281712405 -0.385357009 +32530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.355418745 -0.385357009 +32527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.835355287 -0.385357009 +32534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.054673809 -0.385357009 +32532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.592853609 -0.385357009 +32533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.127435609 -0.385357009 +32535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.675391432 -0.385357009 +32536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.647490062 -0.385357009 +32537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.674648964 -0.385357009 +32538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.064445033 -0.385357009 +32539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.371754821 -0.385357009 +32540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.679908612 -0.385357009 +32541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.380282958 -0.385357009 +32542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.622990289 -0.385357009 +32543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.613532698 -0.385357009 +32546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.554067055 -0.385357009 +32545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.305418367 -0.385357009 +32544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.738196808 -0.385357009 +32547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.133247017 -0.385357009 +32548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.790095465 -0.385357009 +32549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.102277473 -0.385357009 +32550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.341690286 -0.385357009 +32553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.46395555 -0.385357009 +32552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.749473844 -0.385357009 +32554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.46697591 -0.385357009 +32555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.606115646 -0.385357009 +32551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.784814569 -0.385357009 +32556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.27183014 -0.385357009 +32557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.155675701 -0.385357009 +32558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.36122549 -0.385357009 +32560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.242803742 -0.385357009 +32559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.654393495 -0.385357009 +32561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.477674389 -0.385357009 +32562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.081555823 -0.385357009 +32564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.556035739 -0.385357009 +32565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.462037054 -0.385357009 +32563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.170006337 -0.385357009 +32566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.562091132 -0.385357009 +32568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.074216502 -0.385357009 +32567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.714413331 -0.385357009 +32569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.038155738 -0.385357009 +32570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.475499012 -0.385357009 +32572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.72787925 -0.385357009 +32571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.124875961 -0.385357009 +32573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.663284369 -0.385357009 +32575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.786284143 -0.385357009 +32574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.343876044 -0.385357009 +32577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.153383383 -0.385357009 +32576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.012575014 -0.385357009 +32578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.183254666 -0.385357009 +32580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.231454687 -0.385357009 +32579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.68810747 -0.385357009 +32582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.628455128 -0.385357009 +32583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.114045115 -0.385357009 +32584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.362709862 -0.385357009 +32585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.141904697 -0.385357009 +32581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.613172354 -0.385357009 +32587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.241861132 -0.385357009 +32586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.762100388 -0.385357009 +32588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.348210043 -0.385357009 +32589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.38667158 -0.385357009 +32590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.467333677 -0.385357009 +32592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.389757628 -0.385357009 +32591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.51955903 -0.385357009 +32594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.817515363 -0.385357009 +32593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.302588822 -0.385357009 +32595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.116724975 -0.385357009 +32596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.619647638 -0.385357009 +32597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.295771268 -0.385357009 +32598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.445874099 -0.385357009 +32600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.226652961 -0.385357009 +32599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.586885997 -0.385357009 +32601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.35009665 -0.385357009 +32602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.537478303 -0.385357009 +32603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.57836404 -0.385357009 +32604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.679568844 -0.385357009 +32605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.598017604 -0.385357009 +32606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.285642657 -0.385357009 +32608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.598837366 -0.385357009 +32607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.838163134 -0.385357009 +32609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.368320432 -0.385357009 +32611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.474081375 -0.385357009 +32613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.13227959 -0.385357009 +32614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.378045663 -0.385357009 +32612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.657942208 -0.385357009 +32610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.051363955 -0.385357009 +32615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.245470727 -0.385357009 +32616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.559620158 -0.385357009 +32617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.1859088 -0.385357009 +32618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.145121227 -0.385357009 +32619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.448439992 -0.385357009 +32620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.279877336 -0.385357009 +32622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.568623676 -0.385357009 +32621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.242821354 -0.385357009 +32623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.510289276 -0.385357009 +32625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.020241788 -0.385357009 +32624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.22816797 -0.385357009 +32626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.479243755 -0.385357009 +32628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.318968944 -0.385357009 +32630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.547881587 -0.385357009 +32631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.484103274 -0.385357009 +32627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.568379251 -0.385357009 +32632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.208810152 -0.385357009 +32629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.068323076 -0.385357009 +32633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.42238945 -0.385357009 +32634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.543137797 -0.385357009 +32635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.55232506 -0.385357009 +32636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.028732592 -0.385357009 +32637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.154390092 -0.385357009 +32638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.059987446 -0.385357009 +32639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.769411175 -0.385357009 +32641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.362529112 -0.385357009 +32642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.694098499 -0.385357009 +32640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.768673852 -0.385357009 +32643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.670858711 -0.385357009 +32644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.663008278 -0.385357009 +32646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.757541572 -0.385357009 +32645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.548333373 -0.385357009 +32647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.626738596 -0.385357009 +32648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.109757538 -0.385357009 +32649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.063569968 -0.385357009 +32651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -4.47E-04 -0.385357009 +32653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.361026118 -0.385357009 +32654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.200439838 -0.385357009 +32655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.373434957 -0.385357009 +32652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.45517559 -0.385357009 +32656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.782909828 -0.385357009 +32650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.342892314 -0.385357009 +32657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.223945603 -0.385357009 +32658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.358720992 -0.385357009 +32659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.635934436 -0.385357009 +32660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.836410132 -0.385357009 +32662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.69634961 -0.385357009 +32661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.209214142 -0.385357009 +32663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.4849868 -0.385357009 +32665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.524112655 -0.385357009 +32664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.236295977 -0.385357009 +32666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.209683635 -0.385357009 +32668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.48159454 -0.385357009 +32670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.077446285 -0.385357009 +32667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.118965733 -0.385357009 +32671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.666956921 -0.385357009 +32669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.368272069 -0.385357009 +32672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.716624691 -0.385357009 +32674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.05700844 -0.385357009 +32673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.085479777 -0.385357009 +32675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.709095111 -0.385357009 +32676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.149565985 -0.385357009 +32677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.411968315 -0.385357009 +32678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.758855712 -0.385357009 +32679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.55890084 -0.385357009 +32681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.405744958 -0.385357009 +32683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.236992982 -0.385357009 +32680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.639567454 -0.385357009 +32684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.280456474 -0.385357009 +32685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.455890803 -0.385357009 +32682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.036517222 -0.385357009 +32687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.148978624 -0.385357009 +32688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.401079979 -0.385357009 +32686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.228667665 -0.385357009 +32689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.083729584 -0.385357009 +32690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.557229421 -0.385357009 +32691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.138078309 -0.385357009 +32692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.601413971 -0.385357009 +32693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.548528504 -0.385357009 +32695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.169795791 -0.385357009 +32696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.554693237 -0.385357009 +32697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.158952006 -0.385357009 +32694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.082158476 -0.385357009 +32698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.366638901 -0.385357009 +32699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.704098241 -0.385357009 +32700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.849458417 -0.385357009 +32701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.541186462 -0.385357009 +32702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.00999332 -0.385357009 +32703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.838760011 -0.385357009 +32704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.134502743 -0.385357009 +32705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.664680131 -0.385357009 +32706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.669296995 -0.385357009 +32707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.535885686 -0.385357009 +32709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.407785212 -0.385357009 +32708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.277327521 -0.385357009 +32710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.473164782 -0.385357009 +32711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.010985202 -0.385357009 +32712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.732614685 -0.385357009 +32714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.598626565 -0.385357009 +32715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.521892377 -0.385357009 +32713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.088311596 -0.385357009 +32718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.70085286 -0.385357009 +32719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.415561264 -0.385357009 +32717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.18337168 -0.385357009 +32716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.797527547 -0.385357009 +32720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.014451581 -0.385357009 +32723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.56127496 -0.385357009 +32721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.490391076 -0.385357009 +32722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.32392384 -0.385357009 +32724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.608376343 -0.385357009 +32726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.317482408 -0.385357009 +32725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.215032431 -0.385357009 +32729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.125813405 -0.385357009 +32730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.625834883 -0.385357009 +32731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.14816509 -0.385357009 +32727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.716892918 -0.385357009 +32728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.148788827 -0.385357009 +32732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.527111318 -0.385357009 +32733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.714473732 -0.385357009 +32735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.771992962 -0.385357009 +32734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.253516223 -0.385357009 +32736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.15601672 -0.385357009 +32737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.244396896 -0.385357009 +32739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.662711848 -0.385357009 +32738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.284978875 -0.385357009 +32741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.049378298 -0.385357009 +32740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.026261295 -0.385357009 +32742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.025262543 -0.385357009 +32743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.612187705 -0.385357009 +32747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.438141931 -0.385357009 +32746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.328613719 -0.385357009 +32745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.506689302 -0.385357009 +32744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.326822029 -0.385357009 +32749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.07047169 -0.385357009 +32748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.091621923 -0.385357009 +32750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.522090779 -0.385357009 +32751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.024247398 -0.385357009 +32753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.187840364 -0.385357009 +32752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.230153217 -0.385357009 +32754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.807359444 -0.385357009 +32757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.037912375 -0.385357009 +32756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.376490766 -0.385357009 +32758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.379745769 -0.385357009 +32759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.435165185 -0.385357009 +32755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.033752863 -0.385357009 +32762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.482115099 -0.385357009 +32761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.10485665 -0.385357009 +32760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.018547569 -0.385357009 +32763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.314366929 -0.385357009 +32764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.494010388 -0.385357009 +32766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.653156464 -0.385357009 +32767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.010913833 -0.385357009 +32768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.600899798 -0.385357009 +32770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.089842096 -0.385357009 +32769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.535142115 -0.385357009 +32765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.436523795 -0.385357009 +32771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.315535911 -0.385357009 +32772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.059818258 -0.385357009 +32775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.047265046 -0.385357009 +32776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.029490092 -0.385357009 +32773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.542390651 -0.385357009 +32778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.39885358 -0.385357009 +32777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.623781066 -0.385357009 +32774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.347686958 -0.385357009 +32779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.76780037 -0.385357009 +32780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.624188459 -0.385357009 +32781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.126019378 -0.385357009 +32782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.456339345 -0.385357009 +32785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.293477914 -0.385357009 +32784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.044823504 -0.385357009 +32783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.115945693 -0.385357009 +32786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.640303185 -0.385357009 +32788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.137821038 -0.385357009 +32787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.080666127 -0.385357009 +32789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.014746504 -0.385357009 +32790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.286896236 -0.385357009 +32792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.442088448 -0.385357009 +32791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.572933814 -0.385357009 +32793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.231820634 -0.385357009 +32795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.052121185 -0.385357009 +32794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.59151055 -0.385357009 +32796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.538365463 -0.385357009 +32797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.335244008 -0.385357009 +32798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.702040315 -0.385357009 +32800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.742718944 -0.385357009 +32799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.301350925 -0.385357009 +32801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.40058554 -0.385357009 +32805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.641057927 -0.385357009 +32804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.695864557 -0.385357009 +32802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.124652836 -0.385357009 +32806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.25097159 -0.385357009 +32803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.324306417 -0.385357009 +32808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.683320052 -0.385357009 +32807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.493903352 -0.385357009 +32809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.054720148 -0.385357009 +32810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.763085674 -0.385357009 +32811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.342357095 -0.385357009 +32812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.323935955 -0.385357009 +32813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.604394012 -0.385357009 +32814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.702186745 -0.385357009 +32815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.432523444 -0.385357009 +32816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.266415032 -0.385357009 +32817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.658540609 -0.385357009 +32819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.447726996 -0.385357009 +32818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.720930734 -0.385357009 +32820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.130178617 -0.385357009 +32821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.064198945 -0.385357009 +32824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.69843578 -0.385357009 +32823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.643581318 -0.385357009 +32826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.742065534 -0.385357009 +32822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.011049698 -0.385357009 +32827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.123344389 -0.385357009 +32828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.227739485 -0.385357009 +32825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.292897694 -0.385357009 +32829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.002652245 -0.385357009 +32830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.024913205 -0.385357009 +32831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.516336225 -0.385357009 +32832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.287786829 -0.385357009 +32834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.170441993 -0.385357009 +32835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.73284777 -0.385357009 +32836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.260454521 -0.385357009 +32837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.618068027 -0.385357009 +32833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.059241426 -0.385357009 +32838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.051445358 -0.385357009 +32840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.671109716 -0.385357009 +32841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.365737185 -0.385357009 +32843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.734204741 -0.385357009 +32842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.133325885 -0.385357009 +32844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.72878522 -0.385357009 +32839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.454448234 -0.385357009 +32845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.297913965 -0.385357009 +32846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.463393843 -0.385357009 +32848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.635295211 -0.385357009 +32847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.641339745 -0.385357009 +32850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.030714995 -0.385357009 +32852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.339616313 -0.385357009 +32851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.085325493 -0.385357009 +32849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.126998029 -0.385357009 +32853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.555025345 -0.385357009 +32854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.098676268 -0.385357009 +32855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.061066144 -0.385357009 +32856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.515874467 -0.385357009 +32859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.044485902 -0.385357009 +32857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.379798552 -0.385357009 +32858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.018297404 -0.385357009 +32860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.176106083 -0.385357009 +32862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.447969048 -0.385357009 +32863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.281452139 -0.385357009 +32866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.399762376 -0.385357009 +32865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.333814962 -0.385357009 +32861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.148133586 -0.385357009 +32867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.588464092 -0.385357009 +32864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.456751715 -0.385357009 +32868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.491690776 -0.385357009 +32870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.629637279 -0.385357009 +32872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.053819202 -0.385357009 +32874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.716847411 -0.385357009 +32871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.06161383 -0.385357009 +32869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.672498287 -0.385357009 +32875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.752124201 -0.385357009 +32876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.030455229 -0.385357009 +32873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.534550676 -0.385357009 +32877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.483304553 -0.385357009 +32878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.191709433 -0.385357009 +32881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.593649927 -0.385357009 +32879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.185933693 -0.385357009 +32882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.11946281 -0.385357009 +32880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.169155863 -0.385357009 +32883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.420509592 -0.385357009 +32884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.416056772 -0.385357009 +32885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.477409357 -0.385357009 +32888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.38483461 -0.385357009 +32886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.179360504 -0.385357009 +32889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.56371699 -0.385357009 +32890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.049001391 -0.385357009 +32887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.398620438 -0.385357009 +32891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.269700512 -0.385357009 +32893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.197063446 -0.385357009 +32892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.379280779 -0.385357009 +32895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.681949885 -0.385357009 +32894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.372027406 -0.385357009 +32896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.242536153 -0.385357009 +32898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.020381084 -0.385357009 +32899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.134003268 -0.385357009 +32897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.165908081 -0.385357009 +32900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.823156732 -0.385357009 +32902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.120660271 -0.385357009 +32901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.710848733 -0.385357009 +32903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.676335547 -0.385357009 +32904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.563080822 -0.385357009 +32905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.731074835 -0.385357009 +32906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.30202125 -0.385357009 +32907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.160362385 -0.385357009 +32908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.557800791 -0.385357009 +32909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.011752848 -0.385357009 +32911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.056700992 -0.385357009 +32912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.326260778 -0.385357009 +32910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.389903161 -0.385357009 +32914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.592586006 -0.385357009 +32913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.286774361 -0.385357009 +32915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.061654515 -0.385357009 +32916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.023917273 -0.385357009 +32917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.500282672 -0.385357009 +32918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.088642826 -0.385357009 +32919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.033686401 -0.385357009 +32920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.366664789 -0.385357009 +32921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.563175774 -0.385357009 +32922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.034749774 -0.385357009 +32924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.308107514 -0.385357009 +32925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.411355155 -0.385357009 +32926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.471448826 -0.385357009 +32927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.539552315 -0.385357009 +32923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.797109874 -0.385357009 +32929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.76962667 -0.385357009 +32930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.184063885 -0.385357009 +32931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.100796033 -0.385357009 +32928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.284144566 -0.385357009 +32932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.107887405 -0.385357009 +32933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.455444613 -0.385357009 +32934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.601283288 -0.385357009 +32935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.720153698 -0.385357009 +32936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.642083895 -0.385357009 +32937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.482630743 -0.385357009 +32938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.140818852 -0.385357009 +32940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.735127595 -0.385357009 +32939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.544396725 -0.385357009 +32941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.715411583 -0.385357009 +32943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.725541927 -0.385357009 +32942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.50112018 -0.385357009 +32945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.586069949 -0.385357009 +32944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.068374237 -0.385357009 +32947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.412459576 -0.385357009 +32946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.149014644 -0.385357009 +32949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.755534999 -0.385357009 +32950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.840465042 -0.385357009 +32951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.377824836 -0.385357009 +32948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.552900711 -0.385357009 +32952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.766393082 -0.385357009 +32953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.526233977 -0.385357009 +32954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.044999839 -0.385357009 +32955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.525882313 -0.385357009 +32956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.729494072 -0.385357009 +32957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.383384007 -0.385357009 +32958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.14854866 -0.385357009 +32959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.505572697 -0.385357009 +32960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.547732271 -0.385357009 +32961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.359922693 -0.385357009 +32962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.669789254 -0.385357009 +32964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.746930792 -0.385357009 +32963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.578762789 -0.385357009 +32965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.6347172 -0.385357009 +32966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.121589682 -0.385357009 +32970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.051996449 -0.385357009 +32969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.199016422 -0.385357009 +32971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.678805343 -0.385357009 +32968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.45974777 -0.385357009 +32972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.820766314 -0.385357009 +32973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.013377699 -0.385357009 +32974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.486075278 -0.385357009 +32967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.410521917 -0.385357009 +32975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.858103442 -0.385357009 +32976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.720435987 -0.385357009 +32977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.46726343 -0.385357009 +32978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.477128468 -0.385357009 +32979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.37657731 -0.385357009 +32980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.090556263 -0.385357009 +32981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.751440327 -0.385357009 +32982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.360480433 -0.385357009 +32983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.256132474 -0.385357009 +32986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.716971263 -0.385357009 +32987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.850697396 -0.385357009 +32985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.004730607 -0.385357009 +32988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.554341511 -0.385357009 +32989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.130877759 -0.385357009 +32984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.234199413 -0.385357009 +32990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.318580259 -0.385357009 +32991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.82942674 -0.385357009 +32992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.354543888 -0.385357009 +32993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.348554843 -0.385357009 +32995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.105903707 -0.385357009 +32994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.699936005 -0.385357009 +32996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.747618792 -0.385357009 +32997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.239912332 -0.385357009 +32998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.030850289 -0.385357009 +32999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 -0.798960672 -0.385357009 +33000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.6 10 1 0.001424777 -0.385357009 +33001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.491607441 -0.383406113 +33002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.135367428 -0.383406113 +33003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.369455304 -0.383406113 +33005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.705251662 -0.383406113 +33006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.165041061 -0.383406113 +33007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.458036734 -0.383406113 +33008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.728484463 -0.383406113 +33004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.026496567 -0.383406113 +33009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.190300899 -0.383406113 +33010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.484375486 -0.383406113 +33011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.322735292 -0.383406113 +33013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.486777298 -0.383406113 +33015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.061700194 -0.383406113 +33016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.724335022 -0.383406113 +33014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.201623232 -0.383406113 +33012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.756597172 -0.383406113 +33017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.646132136 -0.383406113 +33018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.351564444 -0.383406113 +33019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.343440631 -0.383406113 +33020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.604921543 -0.383406113 +33022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.278156509 -0.383406113 +33023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.382053653 -0.383406113 +33025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.65035645 -0.383406113 +33021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.361884732 -0.383406113 +33024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.593343902 -0.383406113 +33027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.120938319 -0.383406113 +33028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.3087526 -0.383406113 +33030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.120308251 -0.383406113 +33029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.387937838 -0.383406113 +33032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.762053121 -0.383406113 +33033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.306057565 -0.383406113 +33026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.353319557 -0.383406113 +33031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.160120471 -0.383406113 +33035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.686186597 -0.383406113 +33034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.215398611 -0.383406113 +33038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.123826851 -0.383406113 +33037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.417519535 -0.383406113 +33036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.483073109 -0.383406113 +33039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.445099646 -0.383406113 +33041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.42567721 -0.383406113 +33040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.611219237 -0.383406113 +33042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.089609959 -0.383406113 +33043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.525527545 -0.383406113 +33045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.205730768 -0.383406113 +33044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.426612279 -0.383406113 +33046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.691466018 -0.383406113 +33047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.487779877 -0.383406113 +33048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.067318848 -0.383406113 +33049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.356017955 -0.383406113 +33050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.575650406 -0.383406113 +33053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.57510179 -0.383406113 +33051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.460085039 -0.383406113 +33055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.125319788 -0.383406113 +33056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.643505045 -0.383406113 +33052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.098895949 -0.383406113 +33054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.325357171 -0.383406113 +33060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.043810217 -0.383406113 +33058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.077321446 -0.383406113 +33059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.672790806 -0.383406113 +33057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.854528279 -0.383406113 +33061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.673066147 -0.383406113 +33063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.023939196 -0.383406113 +33062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.708503311 -0.383406113 +33064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.596567198 -0.383406113 +33065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.074300526 -0.383406113 +33067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.348387045 -0.383406113 +33066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.206104439 -0.383406113 +33069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.636876786 -0.383406113 +33070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.47495838 -0.383406113 +33071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.395546304 -0.383406113 +33072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.776452845 -0.383406113 +33068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.174811539 -0.383406113 +33074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.181890141 -0.383406113 +33073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.839531816 -0.383406113 +33075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.122895855 -0.383406113 +33077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.61345485 -0.383406113 +33076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.132532397 -0.383406113 +33078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.038393693 -0.383406113 +33079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.215023483 -0.383406113 +33080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.594775204 -0.383406113 +33082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.132491876 -0.383406113 +33081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.440410756 -0.383406113 +33083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.795279958 -0.383406113 +33084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.052060298 -0.383406113 +33086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.149854732 -0.383406113 +33085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.286247027 -0.383406113 +33087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.435572686 -0.383406113 +33088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.313210982 -0.383406113 +33090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.019869711 -0.383406113 +33091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.002651852 -0.383406113 +33089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.375634315 -0.383406113 +33092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.442919485 -0.383406113 +33093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.519014276 -0.383406113 +33094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.451255914 -0.383406113 +33095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.691255739 -0.383406113 +33098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.414456865 -0.383406113 +33096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.784980071 -0.383406113 +33099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.484349052 -0.383406113 +33097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.759830068 -0.383406113 +33100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.819607868 -0.383406113 +33101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.022817732 -0.383406113 +33102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.183711381 -0.383406113 +33103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.038155903 -0.383406113 +33104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.355989981 -0.383406113 +33105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.465612163 -0.383406113 +33106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.333859667 -0.383406113 +33107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.675475306 -0.383406113 +33109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.428895744 -0.383406113 +33110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.616804009 -0.383406113 +33108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.20439729 -0.383406113 +33111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.323470494 -0.383406113 +33112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.175555165 -0.383406113 +33115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.112328061 -0.383406113 +33116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.242307138 -0.383406113 +33114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.737260921 -0.383406113 +33113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.782704147 -0.383406113 +33118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.105743063 -0.383406113 +33117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.010749303 -0.383406113 +33119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.076490228 -0.383406113 +33120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.307748188 -0.383406113 +33123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.123197261 -0.383406113 +33122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.125540891 -0.383406113 +33125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.512821012 -0.383406113 +33121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.593889626 -0.383406113 +33126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.006718165 -0.383406113 +33127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.799493016 -0.383406113 +33124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.477534053 -0.383406113 +33128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.766557855 -0.383406113 +33129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.479429435 -0.383406113 +33130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.259185692 -0.383406113 +33132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -6.25E-04 -0.383406113 +33131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.712025205 -0.383406113 +33133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.04472498 -0.383406113 +33134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.281104462 -0.383406113 +33136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.041090027 -0.383406113 +33135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.660836231 -0.383406113 +33138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.482744066 -0.383406113 +33140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.328116437 -0.383406113 +33141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.521891173 -0.383406113 +33142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.092645655 -0.383406113 +33139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.506644707 -0.383406113 +33137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.454504899 -0.383406113 +33143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.212599768 -0.383406113 +33144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.00592002 -0.383406113 +33145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.526495112 -0.383406113 +33146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.222353097 -0.383406113 +33147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.879335571 -0.383406113 +33149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.512473131 -0.383406113 +33150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.880511134 -0.383406113 +33148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.159485655 -0.383406113 +33151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.553631157 -0.383406113 +33153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.563091678 -0.383406113 +33152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.304466919 -0.383406113 +33154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.382886563 -0.383406113 +33155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.484318137 -0.383406113 +33156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.361954103 -0.383406113 +33158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.176928747 -0.383406113 +33157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.579553234 -0.383406113 +33159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.459485471 -0.383406113 +33160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.558889357 -0.383406113 +33163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.099994412 -0.383406113 +33161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.60398486 -0.383406113 +33162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.231672715 -0.383406113 +33164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.0267676 -0.383406113 +33166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.331867375 -0.383406113 +33165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.567925731 -0.383406113 +33168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.449020852 -0.383406113 +33167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.398829162 -0.383406113 +33169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.04812543 -0.383406113 +33170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.155230305 -0.383406113 +33171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.625282353 -0.383406113 +33172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.692676737 -0.383406113 +33173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.458325681 -0.383406113 +33174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.48756626 -0.383406113 +33176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.018576137 -0.383406113 +33175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.54436345 -0.383406113 +33177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.628462025 -0.383406113 +33178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.198960398 -0.383406113 +33179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.771040177 -0.383406113 +33182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.236511635 -0.383406113 +33180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.137328736 -0.383406113 +33183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.158277205 -0.383406113 +33184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.210337968 -0.383406113 +33181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.582481349 -0.383406113 +33185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.340584689 -0.383406113 +33187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.586993998 -0.383406113 +33190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.282583213 -0.383406113 +33188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.225323844 -0.383406113 +33189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.584037833 -0.383406113 +33192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.092043485 -0.383406113 +33186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.687809492 -0.383406113 +33193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.069868253 -0.383406113 +33191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.232522183 -0.383406113 +33195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.220169241 -0.383406113 +33194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.311102529 -0.383406113 +33196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.565254649 -0.383406113 +33197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.434896564 -0.383406113 +33198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.263979668 -0.383406113 +33200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.031859993 -0.383406113 +33199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.482101194 -0.383406113 +33201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.833216637 -0.383406113 +33203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.033741317 -0.383406113 +33202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.4913526 -0.383406113 +33204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.738366717 -0.383406113 +33205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.748578102 -0.383406113 +33206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.753648023 -0.383406113 +33209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.42282334 -0.383406113 +33207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.612374947 -0.383406113 +33208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.626825197 -0.383406113 +33211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.460945742 -0.383406113 +33210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.008854878 -0.383406113 +33212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.641620042 -0.383406113 +33213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.322328428 -0.383406113 +33214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.855332671 -0.383406113 +33215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.189512905 -0.383406113 +33216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.613722594 -0.383406113 +33217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.478782317 -0.383406113 +33218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.575805359 -0.383406113 +33220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.008381507 -0.383406113 +33219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.614225037 -0.383406113 +33221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.418123592 -0.383406113 +33223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.543291535 -0.383406113 +33222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.750292191 -0.383406113 +33224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.25554875 -0.383406113 +33226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.398950199 -0.383406113 +33229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.732874679 -0.383406113 +33228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.025962773 -0.383406113 +33227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.365474446 -0.383406113 +33231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.62708285 -0.383406113 +33230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.497329738 -0.383406113 +33232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.446858194 -0.383406113 +33225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.178825878 -0.383406113 +33233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.526107238 -0.383406113 +33235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.219692737 -0.383406113 +33234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.638697254 -0.383406113 +33236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.571208416 -0.383406113 +33238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.235973453 -0.383406113 +33239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.1496612 -0.383406113 +33237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.253633937 -0.383406113 +33240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.41920172 -0.383406113 +33241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.427935692 -0.383406113 +33242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.641433872 -0.383406113 +33244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.133833193 -0.383406113 +33245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.159571697 -0.383406113 +33246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.663766601 -0.383406113 +33243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.016893745 -0.383406113 +33247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.500901038 -0.383406113 +33249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.418072291 -0.383406113 +33250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.664768314 -0.383406113 +33252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.729637866 -0.383406113 +33251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.796111734 -0.383406113 +33253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.487451508 -0.383406113 +33254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.428530038 -0.383406113 +33248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.584707839 -0.383406113 +33255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.434471128 -0.383406113 +33257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.048938292 -0.383406113 +33256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.070889625 -0.383406113 +33259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.417346243 -0.383406113 +33258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.00697665 -0.383406113 +33260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.705103991 -0.383406113 +33262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.571676522 -0.383406113 +33263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.766876536 -0.383406113 +33261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.528427322 -0.383406113 +33264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.24474793 -0.383406113 +33265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.278489204 -0.383406113 +33266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.580084746 -0.383406113 +33267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.393129691 -0.383406113 +33269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.097165798 -0.383406113 +33268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.340912648 -0.383406113 +33270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.299988937 -0.383406113 +33271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.705189804 -0.383406113 +33273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.882060995 -0.383406113 +33272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.386779045 -0.383406113 +33275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.445213193 -0.383406113 +33274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.35813321 -0.383406113 +33276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.408577249 -0.383406113 +33277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.774824246 -0.383406113 +33279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.313360579 -0.383406113 +33278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.035509963 -0.383406113 +33280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.745928759 -0.383406113 +33281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.020397892 -0.383406113 +33282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.550469349 -0.383406113 +33284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.628702491 -0.383406113 +33285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.068204268 -0.383406113 +33283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.219650677 -0.383406113 +33288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.336699817 -0.383406113 +33287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.119491985 -0.383406113 +33289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.511059375 -0.383406113 +33286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.42495451 -0.383406113 +33290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.46573679 -0.383406113 +33293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.44082486 -0.383406113 +33292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.178968697 -0.383406113 +33294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.293366969 -0.383406113 +33295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.031687641 -0.383406113 +33296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.310361606 -0.383406113 +33291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.169849882 -0.383406113 +33297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.068149087 -0.383406113 +33298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.559992054 -0.383406113 +33299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.482614519 -0.383406113 +33300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.015605631 -0.383406113 +33301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.052881845 -0.383406113 +33305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.062983051 -0.383406113 +33302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.041658231 -0.383406113 +33303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.180627241 -0.383406113 +33304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.626219582 -0.383406113 +33306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.011937026 -0.383406113 +33309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.669954671 -0.383406113 +33308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.641184757 -0.383406113 +33310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.713455903 -0.383406113 +33311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.376863431 -0.383406113 +33312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.112625452 -0.383406113 +33307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.67084463 -0.383406113 +33313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.225837187 -0.383406113 +33314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.423659705 -0.383406113 +33315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.46624645 -0.383406113 +33316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.686286156 -0.383406113 +33317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.091635611 -0.383406113 +33319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.318968932 -0.383406113 +33320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.146080213 -0.383406113 +33318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.316939733 -0.383406113 +33321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.091410064 -0.383406113 +33323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.1830937 -0.383406113 +33324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.329303884 -0.383406113 +33322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.425458507 -0.383406113 +33327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.152821672 -0.383406113 +33326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.251834473 -0.383406113 +33328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.566472911 -0.383406113 +33325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.496312753 -0.383406113 +33331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.837523554 -0.383406113 +33330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.233293572 -0.383406113 +33329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.756200596 -0.383406113 +33332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.579518953 -0.383406113 +33334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.639153756 -0.383406113 +33336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.595972796 -0.383406113 +33333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.470722513 -0.383406113 +33335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.044489555 -0.383406113 +33337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.597090831 -0.383406113 +33338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.551236513 -0.383406113 +33340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.104881885 -0.383406113 +33341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.376908426 -0.383406113 +33343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.590386668 -0.383406113 +33339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.810747545 -0.383406113 +33342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.068716712 -0.383406113 +33344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.695088205 -0.383406113 +33346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.438711055 -0.383406113 +33345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.023467304 -0.383406113 +33348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.27387039 -0.383406113 +33347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.270323669 -0.383406113 +33351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.351703824 -0.383406113 +33349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.056041383 -0.383406113 +33350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.467136546 -0.383406113 +33352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.209912759 -0.383406113 +33353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.381486873 -0.383406113 +33354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.054211404 -0.383406113 +33355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.208911895 -0.383406113 +33356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.24543809 -0.383406113 +33357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.793758518 -0.383406113 +33358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.725407897 -0.383406113 +33359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.489081923 -0.383406113 +33362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.196280466 -0.383406113 +33361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.694253061 -0.383406113 +33363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.570674191 -0.383406113 +33360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.501615772 -0.383406113 +33364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.248044329 -0.383406113 +33367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.385517059 -0.383406113 +33369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.491491956 -0.383406113 +33366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.328502477 -0.383406113 +33368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.577214643 -0.383406113 +33365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.236656727 -0.383406113 +33370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.53524526 -0.383406113 +33371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.755357664 -0.383406113 +33372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.20444646 -0.383406113 +33375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.651738278 -0.383406113 +33376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.197253571 -0.383406113 +33374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.20158145 -0.383406113 +33373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.743977777 -0.383406113 +33378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.593758606 -0.383406113 +33377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.282073565 -0.383406113 +33380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.029053943 -0.383406113 +33381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.355991027 -0.383406113 +33383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.288799598 -0.383406113 +33382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.226212171 -0.383406113 +33379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.141256863 -0.383406113 +33385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.375833252 -0.383406113 +33384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.168121052 -0.383406113 +33386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.604710187 -0.383406113 +33387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.031697552 -0.383406113 +33389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.632248429 -0.383406113 +33390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.330658114 -0.383406113 +33388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.098524686 -0.383406113 +33393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.675406026 -0.383406113 +33391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.076071383 -0.383406113 +33392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.150519106 -0.383406113 +33394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.609546052 -0.383406113 +33395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.061885017 -0.383406113 +33396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.08889174 -0.383406113 +33398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.324501262 -0.383406113 +33397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.008702034 -0.383406113 +33400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.138827148 -0.383406113 +33401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.647015731 -0.383406113 +33399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.473285637 -0.383406113 +33402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.164050751 -0.383406113 +33404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.567145095 -0.383406113 +33403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.351952391 -0.383406113 +33406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.817277754 -0.383406113 +33405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.240621133 -0.383406113 +33407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.638695061 -0.383406113 +33408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.258367345 -0.383406113 +33409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.001954908 -0.383406113 +33410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.013622051 -0.383406113 +33412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.099105012 -0.383406113 +33413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.684647043 -0.383406113 +33411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.772441272 -0.383406113 +33415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.631236132 -0.383406113 +33417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.662783299 -0.383406113 +33416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.765071246 -0.383406113 +33414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.695967158 -0.383406113 +33418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.585490569 -0.383406113 +33419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.225536725 -0.383406113 +33420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.067575633 -0.383406113 +33421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.083634303 -0.383406113 +33422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.238523421 -0.383406113 +33425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.573180019 -0.383406113 +33424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.18021658 -0.383406113 +33423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.4970033 -0.383406113 +33426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.600961633 -0.383406113 +33428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.058682349 -0.383406113 +33427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.713727166 -0.383406113 +33429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.015998191 -0.383406113 +33430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.723742563 -0.383406113 +33432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.117331611 -0.383406113 +33433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.741920024 -0.383406113 +33431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.59966933 -0.383406113 +33435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.229891585 -0.383406113 +33437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.390355451 -0.383406113 +33436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.482122444 -0.383406113 +33438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.450011062 -0.383406113 +33434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.209323974 -0.383406113 +33439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.316028867 -0.383406113 +33440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.511297399 -0.383406113 +33441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.494686688 -0.383406113 +33443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.146925508 -0.383406113 +33445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.111503704 -0.383406113 +33442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.522523144 -0.383406113 +33444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.398206977 -0.383406113 +33446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.033006328 -0.383406113 +33447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.508808283 -0.383406113 +33448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.233557558 -0.383406113 +33449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.040068656 -0.383406113 +33450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.737838596 -0.383406113 +33451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.075293737 -0.383406113 +33452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.630582081 -0.383406113 +33453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.391483319 -0.383406113 +33455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.792440622 -0.383406113 +33454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.605836789 -0.383406113 +33456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.201855106 -0.383406113 +33457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.368422297 -0.383406113 +33458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.19482503 -0.383406113 +33461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.641323767 -0.383406113 +33459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.036177888 -0.383406113 +33460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.704383323 -0.383406113 +33462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.401251065 -0.383406113 +33464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.392348706 -0.383406113 +33463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.43152302 -0.383406113 +33465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.089386267 -0.383406113 +33466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.387804711 -0.383406113 +33468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.35059733 -0.383406113 +33469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.707375901 -0.383406113 +33467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.055703931 -0.383406113 +33470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.144803584 -0.383406113 +33471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.176785984 -0.383406113 +33472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.221673149 -0.383406113 +33473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.655908272 -0.383406113 +33474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.722743504 -0.383406113 +33476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.537237421 -0.383406113 +33477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.727794516 -0.383406113 +33475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.491336923 -0.383406113 +33478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.734109772 -0.383406113 +33479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.75201052 -0.383406113 +33481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.574783887 -0.383406113 +33480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.470861946 -0.383406113 +33482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.744969271 -0.383406113 +33483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.191907385 -0.383406113 +33484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.527165404 -0.383406113 +33485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.722649105 -0.383406113 +33486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.545336048 -0.383406113 +33487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.798426864 -0.383406113 +33488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.644939944 -0.383406113 +33489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.806716085 -0.383406113 +33490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.097162575 -0.383406113 +33491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.429243868 -0.383406113 +33493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.775620593 -0.383406113 +33492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.598834963 -0.383406113 +33494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.106694107 -0.383406113 +33495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.831889331 -0.383406113 +33496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.184619759 -0.383406113 +33498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.548118465 -0.383406113 +33499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.244495112 -0.383406113 +33501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.591817328 -0.383406113 +33497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.407744055 -0.383406113 +33500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.177558916 -0.383406113 +33502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.620060019 -0.383406113 +33503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.226323837 -0.383406113 +33504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.313506117 -0.383406113 +33505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.423354973 -0.383406113 +33506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.566844363 -0.383406113 +33507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.27426493 -0.383406113 +33508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.582836956 -0.383406113 +33509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.570477369 -0.383406113 +33510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.652363604 -0.383406113 +33511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.004734589 -0.383406113 +33512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.016119794 -0.383406113 +33513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.064154937 -0.383406113 +33516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.19038304 -0.383406113 +33514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.632574304 -0.383406113 +33515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.135413573 -0.383406113 +33518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.725586807 -0.383406113 +33519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.313022352 -0.383406113 +33517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.603678644 -0.383406113 +33520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.641799946 -0.383406113 +33521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.593159621 -0.383406113 +33522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.170934388 -0.383406113 +33523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.50783026 -0.383406113 +33524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.06892186 -0.383406113 +33525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.075368351 -0.383406113 +33526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.241005653 -0.383406113 +33529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.240445322 -0.383406113 +33528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.385615624 -0.383406113 +33527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.426355601 -0.383406113 +33530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.151319538 -0.383406113 +33531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.319246295 -0.383406113 +33532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.271742398 -0.383406113 +33533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.461650139 -0.383406113 +33534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.06910155 -0.383406113 +33535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.122034299 -0.383406113 +33536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.653596212 -0.383406113 +33538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.211077546 -0.383406113 +33539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.149849737 -0.383406113 +33540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.7445087 -0.383406113 +33537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.622653129 -0.383406113 +33541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.070900869 -0.383406113 +33542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.411613372 -0.383406113 +33543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.346357584 -0.383406113 +33544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.64446515 -0.383406113 +33545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.557699895 -0.383406113 +33546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.090851337 -0.383406113 +33547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.60703501 -0.383406113 +33549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.144120362 -0.383406113 +33550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.033472761 -0.383406113 +33548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.209684252 -0.383406113 +33551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.69913332 -0.383406113 +33552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.637434412 -0.383406113 +33554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.269951358 -0.383406113 +33553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.445155553 -0.383406113 +33555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.028846654 -0.383406113 +33556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.012863591 -0.383406113 +33557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.203370672 -0.383406113 +33559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.78923538 -0.383406113 +33560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.552162332 -0.383406113 +33561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.555204339 -0.383406113 +33562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.683159917 -0.383406113 +33563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.831838992 -0.383406113 +33558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.44704608 -0.383406113 +33564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.412935293 -0.383406113 +33565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.425647111 -0.383406113 +33566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.27452325 -0.383406113 +33567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.180370645 -0.383406113 +33568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.019614264 -0.383406113 +33569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.441769994 -0.383406113 +33570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.574220044 -0.383406113 +33571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.695631765 -0.383406113 +33572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.253447714 -0.383406113 +33573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.019063566 -0.383406113 +33574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.592471644 -0.383406113 +33575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.205490114 -0.383406113 +33576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.586755363 -0.383406113 +33578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.536322767 -0.383406113 +33577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.719526003 -0.383406113 +33579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.247252649 -0.383406113 +33580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.234405789 -0.383406113 +33581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.731438964 -0.383406113 +33582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.192846958 -0.383406113 +33586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.062854962 -0.383406113 +33585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.415355951 -0.383406113 +33584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.548852212 -0.383406113 +33583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.145135973 -0.383406113 +33588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.673492696 -0.383406113 +33587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.319826548 -0.383406113 +33589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.541946405 -0.383406113 +33590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.057725434 -0.383406113 +33592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.587075643 -0.383406113 +33591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.079331541 -0.383406113 +33593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.028064652 -0.383406113 +33594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.416763117 -0.383406113 +33595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.601327397 -0.383406113 +33597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.037141977 -0.383406113 +33598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.673564675 -0.383406113 +33599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.097108565 -0.383406113 +33601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.098206628 -0.383406113 +33602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.692147903 -0.383406113 +33596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.834119746 -0.383406113 +33600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.314188052 -0.383406113 +33603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.217258807 -0.383406113 +33605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.771447387 -0.383406113 +33604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.576802129 -0.383406113 +33607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.574567719 -0.383406113 +33606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.064658921 -0.383406113 +33610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.344129719 -0.383406113 +33609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.094241434 -0.383406113 +33608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.210111105 -0.383406113 +33612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.270714696 -0.383406113 +33614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.384748006 -0.383406113 +33613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.593086568 -0.383406113 +33611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.336173314 -0.383406113 +33616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.254169498 -0.383406113 +33615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.660716711 -0.383406113 +33618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.123791542 -0.383406113 +33617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.506918113 -0.383406113 +33620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.587737179 -0.383406113 +33621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.316467823 -0.383406113 +33622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.248329654 -0.383406113 +33619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.188369379 -0.383406113 +33623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.198446804 -0.383406113 +33624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.637047848 -0.383406113 +33625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.008037957 -0.383406113 +33626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.816117516 -0.383406113 +33627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.683946102 -0.383406113 +33629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.228315142 -0.383406113 +33628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.727510969 -0.383406113 +33630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.274190657 -0.383406113 +33631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.216201495 -0.383406113 +33632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.076987165 -0.383406113 +33633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.216966073 -0.383406113 +33634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.563916983 -0.383406113 +33637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.082487495 -0.383406113 +33638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.016434009 -0.383406113 +33635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.484225501 -0.383406113 +33640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.262978357 -0.383406113 +33639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.008999633 -0.383406113 +33641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.733941017 -0.383406113 +33636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.712004996 -0.383406113 +33643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.805167695 -0.383406113 +33642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.480950299 -0.383406113 +33644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.617567143 -0.383406113 +33645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.609103991 -0.383406113 +33647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.281439617 -0.383406113 +33646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.793598891 -0.383406113 +33650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.802809718 -0.383406113 +33649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.136674592 -0.383406113 +33651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.022916276 -0.383406113 +33648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.121129811 -0.383406113 +33652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.506512734 -0.383406113 +33653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.469280439 -0.383406113 +33655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.009563888 -0.383406113 +33654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.68505968 -0.383406113 +33656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.495018085 -0.383406113 +33657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.330040289 -0.383406113 +33658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.797676292 -0.383406113 +33660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.262781596 -0.383406113 +33659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.221057377 -0.383406113 +33661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.236144191 -0.383406113 +33663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.025381559 -0.383406113 +33662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.560267197 -0.383406113 +33664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.10309147 -0.383406113 +33665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.687456138 -0.383406113 +33667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.756171567 -0.383406113 +33666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.765892238 -0.383406113 +33669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.704970455 -0.383406113 +33670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.308405057 -0.383406113 +33668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.596957602 -0.383406113 +33671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.210287316 -0.383406113 +33672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.123134241 -0.383406113 +33673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.335138162 -0.383406113 +33674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.181354794 -0.383406113 +33675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.016808175 -0.383406113 +33677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.667622653 -0.383406113 +33676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.627921112 -0.383406113 +33680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.0476047 -0.383406113 +33679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.645058738 -0.383406113 +33681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.064997236 -0.383406113 +33682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.021765424 -0.383406113 +33678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.259681322 -0.383406113 +33683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.47773775 -0.383406113 +33684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.730213815 -0.383406113 +33685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.215032672 -0.383406113 +33686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.039887137 -0.383406113 +33687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.466167969 -0.383406113 +33688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.076370734 -0.383406113 +33690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.462523935 -0.383406113 +33691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.068860683 -0.383406113 +33692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.111416611 -0.383406113 +33689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.689046574 -0.383406113 +33694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.041463257 -0.383406113 +33693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.157849447 -0.383406113 +33695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.16622068 -0.383406113 +33696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.076681606 -0.383406113 +33700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.055218585 -0.383406113 +33699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.082424233 -0.383406113 +33701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.190043955 -0.383406113 +33702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.751526227 -0.383406113 +33697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.256676098 -0.383406113 +33698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.57279434 -0.383406113 +33704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.394369895 -0.383406113 +33703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.635007161 -0.383406113 +33706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.190754084 -0.383406113 +33707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.157296585 -0.383406113 +33705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.506171299 -0.383406113 +33708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.274766432 -0.383406113 +33709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.813194454 -0.383406113 +33710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.598336538 -0.383406113 +33711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.091805823 -0.383406113 +33712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.711594659 -0.383406113 +33713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.654817411 -0.383406113 +33714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.167618245 -0.383406113 +33715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.53499165 -0.383406113 +33716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.627873838 -0.383406113 +33718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.281789553 -0.383406113 +33717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.171451495 -0.383406113 +33719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.191477512 -0.383406113 +33720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.439086355 -0.383406113 +33721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.768030556 -0.383406113 +33722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.101523704 -0.383406113 +33723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.383669324 -0.383406113 +33724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.168983239 -0.383406113 +33725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.272937599 -0.383406113 +33726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.092735064 -0.383406113 +33727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.342926923 -0.383406113 +33729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.369593411 -0.383406113 +33728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.314493446 -0.383406113 +33730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.013939683 -0.383406113 +33733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.605290751 -0.383406113 +33732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.670632445 -0.383406113 +33731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.350341946 -0.383406113 +33735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.333508044 -0.383406113 +33737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.089586761 -0.383406113 +33738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.323319269 -0.383406113 +33736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.206941155 -0.383406113 +33734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.038081675 -0.383406113 +33739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.512482957 -0.383406113 +33740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.665526428 -0.383406113 +33741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.019559848 -0.383406113 +33742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.701650281 -0.383406113 +33744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.628350957 -0.383406113 +33745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.046679968 -0.383406113 +33743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.293554244 -0.383406113 +33746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.512647612 -0.383406113 +33747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.052486125 -0.383406113 +33748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.449117047 -0.383406113 +33749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.080692618 -0.383406113 +33750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.259923076 -0.383406113 +33753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.220908354 -0.383406113 +33752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.469996689 -0.383406113 +33751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.12894088 -0.383406113 +33754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.799355157 -0.383406113 +33757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.258757745 -0.383406113 +33758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.025039259 -0.383406113 +33756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.809328251 -0.383406113 +33755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.300388629 -0.383406113 +33760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.83058964 -0.383406113 +33761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.434059396 -0.383406113 +33759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.143858532 -0.383406113 +33763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.01662554 -0.383406113 +33764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.464569497 -0.383406113 +33765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.730517118 -0.383406113 +33766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.43491336 -0.383406113 +33768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.579143853 -0.383406113 +33767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.556178219 -0.383406113 +33762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.487862835 -0.383406113 +33769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.09410653 -0.383406113 +33770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.198657088 -0.383406113 +33773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.362176005 -0.383406113 +33774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.006483537 -0.383406113 +33775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.165749801 -0.383406113 +33771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.560260438 -0.383406113 +33772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.46067897 -0.383406113 +33777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.425834667 -0.383406113 +33776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.187711953 -0.383406113 +33778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.600679264 -0.383406113 +33779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.786350875 -0.383406113 +33780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.404644287 -0.383406113 +33781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.037004677 -0.383406113 +33782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.760370975 -0.383406113 +33783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.250612834 -0.383406113 +33786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.103281063 -0.383406113 +33787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.080589702 -0.383406113 +33788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.436584309 -0.383406113 +33791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.130758041 -0.383406113 +33785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.139680072 -0.383406113 +33784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.523469293 -0.383406113 +33789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.494090978 -0.383406113 +33790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.17202227 -0.383406113 +33792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.040769637 -0.383406113 +33794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.361136364 -0.383406113 +33795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.401279688 -0.383406113 +33797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.224123992 -0.383406113 +33799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.827415618 -0.383406113 +33798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.136317287 -0.383406113 +33796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.230264127 -0.383406113 +33793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.20489869 -0.383406113 +33800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.020513037 -0.383406113 +33801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.387652034 -0.383406113 +33802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.006164854 -0.383406113 +33803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.002382809 -0.383406113 +33804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.666273769 -0.383406113 +33805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.616975341 -0.383406113 +33807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.642983294 -0.383406113 +33808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.505076656 -0.383406113 +33806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.242322297 -0.383406113 +33809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.074895511 -0.383406113 +33810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.414032033 -0.383406113 +33811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.059080437 -0.383406113 +33812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.752772745 -0.383406113 +33814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.696353891 -0.383406113 +33813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.559443669 -0.383406113 +33817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.066910216 -0.383406113 +33816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.140237636 -0.383406113 +33818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.727936746 -0.383406113 +33819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.571701947 -0.383406113 +33820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.046870961 -0.383406113 +33815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.052018982 -0.383406113 +33822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.760966516 -0.383406113 +33821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.775597571 -0.383406113 +33823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.409031582 -0.383406113 +33825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.590933482 -0.383406113 +33826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.408146554 -0.383406113 +33824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.215708721 -0.383406113 +33827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.824955531 -0.383406113 +33828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.05150954 -0.383406113 +33829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.423965818 -0.383406113 +33830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.556765892 -0.383406113 +33831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.469225759 -0.383406113 +33832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.542632322 -0.383406113 +33835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.695944354 -0.383406113 +33836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.436308846 -0.383406113 +33833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.725485787 -0.383406113 +33834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.864490756 -0.383406113 +33837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.582435873 -0.383406113 +33838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.702081129 -0.383406113 +33839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.363513504 -0.383406113 +33840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.186304082 -0.383406113 +33841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.037424133 -0.383406113 +33843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.682712676 -0.383406113 +33842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.55590657 -0.383406113 +33844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.66901806 -0.383406113 +33845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.52018736 -0.383406113 +33846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.710175325 -0.383406113 +33847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.329824512 -0.383406113 +33848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.529766309 -0.383406113 +33850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.443801238 -0.383406113 +33851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.279468361 -0.383406113 +33849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.684773548 -0.383406113 +33852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.458898217 -0.383406113 +33853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.306008981 -0.383406113 +33854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.243134057 -0.383406113 +33855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.053537461 -0.383406113 +33856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.077165154 -0.383406113 +33857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.597438094 -0.383406113 +33858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.23098364 -0.383406113 +33859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.545386308 -0.383406113 +33861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.385308918 -0.383406113 +33860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.412693581 -0.383406113 +33863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.717280758 -0.383406113 +33864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.263008264 -0.383406113 +33862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.359584899 -0.383406113 +33865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.478101027 -0.383406113 +33866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.336984032 -0.383406113 +33867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.498339922 -0.383406113 +33868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.423271984 -0.383406113 +33869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.386438982 -0.383406113 +33870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.412386672 -0.383406113 +33872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.81215311 -0.383406113 +33871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.47080468 -0.383406113 +33873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.106431876 -0.383406113 +33874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.315984081 -0.383406113 +33875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.544034923 -0.383406113 +33876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.587780736 -0.383406113 +33878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.748791055 -0.383406113 +33879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.090764357 -0.383406113 +33877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.2094889 -0.383406113 +33881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.298209911 -0.383406113 +33882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.126593551 -0.383406113 +33880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.191059355 -0.383406113 +33884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.244709262 -0.383406113 +33885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.406612685 -0.383406113 +33883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.299279856 -0.383406113 +33886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.502664962 -0.383406113 +33889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.289585591 -0.383406113 +33888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.122027788 -0.383406113 +33887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.392431949 -0.383406113 +33890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.120339893 -0.383406113 +33891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.207371455 -0.383406113 +33892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.229235934 -0.383406113 +33893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.010404615 -0.383406113 +33894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.6495513 -0.383406113 +33895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.526067515 -0.383406113 +33896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.623809851 -0.383406113 +33897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.385411426 -0.383406113 +33898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.269720845 -0.383406113 +33900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.682719522 -0.383406113 +33899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.791550988 -0.383406113 +33901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.112292364 -0.383406113 +33902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.228570875 -0.383406113 +33903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.484142537 -0.383406113 +33904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.71654511 -0.383406113 +33905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.124087935 -0.383406113 +33906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.554645258 -0.383406113 +33908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.354129622 -0.383406113 +33907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -1.95E-04 -0.383406113 +33910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.050345738 -0.383406113 +33909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.418413481 -0.383406113 +33911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.557245597 -0.383406113 +33912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.017797487 -0.383406113 +33914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.39678406 -0.383406113 +33915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.234311881 -0.383406113 +33913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.822156166 -0.383406113 +33916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.136991384 -0.383406113 +33917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.572809882 -0.383406113 +33918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.401187472 -0.383406113 +33919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.539257632 -0.383406113 +33920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.124481746 -0.383406113 +33922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.339694366 -0.383406113 +33923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.748559292 -0.383406113 +33921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.343549836 -0.383406113 +33925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.210035759 -0.383406113 +33927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.237570945 -0.383406113 +33928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.297599427 -0.383406113 +33924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.185560974 -0.383406113 +33926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.272613736 -0.383406113 +33931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.607372038 -0.383406113 +33929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.226724089 -0.383406113 +33932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.421356439 -0.383406113 +33933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.261749715 -0.383406113 +33935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.332247035 -0.383406113 +33934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.661201273 -0.383406113 +33936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.583792711 -0.383406113 +33930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.288972897 -0.383406113 +33937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.407906793 -0.383406113 +33938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.497997805 -0.383406113 +33939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.668631921 -0.383406113 +33940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.220594577 -0.383406113 +33941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.34891548 -0.383406113 +33942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.339426018 -0.383406113 +33943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.162246431 -0.383406113 +33944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.622617257 -0.383406113 +33946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.784234651 -0.383406113 +33945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.730281485 -0.383406113 +33947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.411967922 -0.383406113 +33948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.006666142 -0.383406113 +33950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.03765103 -0.383406113 +33949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.59203473 -0.383406113 +33951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.197989115 -0.383406113 +33953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.754796606 -0.383406113 +33954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.294865692 -0.383406113 +33952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.236458816 -0.383406113 +33955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.845058923 -0.383406113 +33956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.122620751 -0.383406113 +33957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.639052285 -0.383406113 +33958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.061614778 -0.383406113 +33959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.822057365 -0.383406113 +33960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.62609783 -0.383406113 +33961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.077185204 -0.383406113 +33962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.017527609 -0.383406113 +33963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.428571943 -0.383406113 +33964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.212150399 -0.383406113 +33965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.590579535 -0.383406113 +33966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.076046882 -0.383406113 +33969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.796099605 -0.383406113 +33968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.191427196 -0.383406113 +33967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.573781827 -0.383406113 +33971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.63151957 -0.383406113 +33972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.715929813 -0.383406113 +33970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.579306898 -0.383406113 +33973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.282961714 -0.383406113 +33974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.741393738 -0.383406113 +33975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.169260717 -0.383406113 +33976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.382452718 -0.383406113 +33977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.485462621 -0.383406113 +33978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.401343856 -0.383406113 +33979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.173496703 -0.383406113 +33981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.38985266 -0.383406113 +33980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.118136494 -0.383406113 +33983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 0.069495228 -0.383406113 +33982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.19314758 -0.383406113 +33984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.489416772 -0.383406113 +33985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.596720105 -0.383406113 +33987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.733374823 -0.383406113 +33986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.681757692 -0.383406113 +33988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.55373078 -0.383406113 +33989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.655195028 -0.383406113 +33990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.37153205 -0.383406113 +33991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.090972598 -0.383406113 +33994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.099889481 -0.383406113 +33992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.495450142 -0.383406113 +33995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.542106372 -0.383406113 +33993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.34337288 -0.383406113 +33996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.334752261 -0.383406113 +33998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.651660774 -0.383406113 +33997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.612180207 -0.383406113 +33999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.614639877 -0.383406113 +34000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.65 10 1 -0.472368093 -0.383406113 +34001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.286302198 -0.375019389 +34003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.688330921 -0.375019389 +34002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.676057332 -0.375019389 +34004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.006692423 -0.375019389 +34005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.392641936 -0.375019389 +34007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.387560145 -0.375019389 +34008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.569040993 -0.375019389 +34006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.657390629 -0.375019389 +34009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.173970907 -0.375019389 +34010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.538514321 -0.375019389 +34011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.590955444 -0.375019389 +34012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.825534697 -0.375019389 +34013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.690095952 -0.375019389 +34014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.062818553 -0.375019389 +34015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.146698345 -0.375019389 +34017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.211675045 -0.375019389 +34018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.725013695 -0.375019389 +34019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.067990628 -0.375019389 +34020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.587076643 -0.375019389 +34021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.580419445 -0.375019389 +34016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.745342822 -0.375019389 +34023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.674296744 -0.375019389 +34024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.147618274 -0.375019389 +34022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.559903954 -0.375019389 +34025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.06865198 -0.375019389 +34027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.613260393 -0.375019389 +34026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.10565152 -0.375019389 +34028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.761195719 -0.375019389 +34031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.21267575 -0.375019389 +34029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.509434605 -0.375019389 +34030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.187578477 -0.375019389 +34032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.16208204 -0.375019389 +34033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.734514159 -0.375019389 +34035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.024543017 -0.375019389 +34034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.311855093 -0.375019389 +34036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.171869584 -0.375019389 +34039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.500773167 -0.375019389 +34037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.285051378 -0.375019389 +34040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.020286338 -0.375019389 +34041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.476149076 -0.375019389 +34038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.804559352 -0.375019389 +34042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.158429954 -0.375019389 +34043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.223219542 -0.375019389 +34044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.703046792 -0.375019389 +34045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.75809353 -0.375019389 +34046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.533355627 -0.375019389 +34048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.043240806 -0.375019389 +34049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.269711738 -0.375019389 +34047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.27974243 -0.375019389 +34050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.11245183 -0.375019389 +34051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.229802066 -0.375019389 +34053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.787377899 -0.375019389 +34052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.341234743 -0.375019389 +34055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.264206919 -0.375019389 +34054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.184881851 -0.375019389 +34056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.032454985 -0.375019389 +34057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.154101716 -0.375019389 +34059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.711349755 -0.375019389 +34060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.553218328 -0.375019389 +34061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.017328467 -0.375019389 +34062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.495925584 -0.375019389 +34063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.73351073 -0.375019389 +34058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.752895796 -0.375019389 +34064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.624525094 -0.375019389 +34066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.392916495 -0.375019389 +34065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.410736328 -0.375019389 +34067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.685497042 -0.375019389 +34068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.7573182 -0.375019389 +34069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.005016273 -0.375019389 +34071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.573591228 -0.375019389 +34070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.408741156 -0.375019389 +34072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.359150984 -0.375019389 +34074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.539936245 -0.375019389 +34075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.499484069 -0.375019389 +34073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.765171802 -0.375019389 +34076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.488300475 -0.375019389 +34077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.068907104 -0.375019389 +34078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.469038916 -0.375019389 +34079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.054879768 -0.375019389 +34080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.060507407 -0.375019389 +34081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.467717539 -0.375019389 +34083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.329367167 -0.375019389 +34084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.487862568 -0.375019389 +34082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.606237701 -0.375019389 +34085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.34888321 -0.375019389 +34087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.763907586 -0.375019389 +34086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.762038663 -0.375019389 +34088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.738863524 -0.375019389 +34092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.560500944 -0.375019389 +34089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.686444373 -0.375019389 +34090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.025109663 -0.375019389 +34091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.225985873 -0.375019389 +34093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.511464185 -0.375019389 +34094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.723700224 -0.375019389 +34095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.719267985 -0.375019389 +34096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.632224913 -0.375019389 +34098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.446845428 -0.375019389 +34099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.273527444 -0.375019389 +34100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.003591858 -0.375019389 +34097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.36132674 -0.375019389 +34101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.240688023 -0.375019389 +34102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.318059032 -0.375019389 +34104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.136657549 -0.375019389 +34103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.242040335 -0.375019389 +34105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.087548097 -0.375019389 +34106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.593054052 -0.375019389 +34107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.704777103 -0.375019389 +34108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.231303502 -0.375019389 +34109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.477320548 -0.375019389 +34110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.603564872 -0.375019389 +34111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.04873444 -0.375019389 +34113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.405264712 -0.375019389 +34114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.554856074 -0.375019389 +34112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.474855528 -0.375019389 +34115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.785946862 -0.375019389 +34116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.654498182 -0.375019389 +34117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.057169175 -0.375019389 +34118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.66397283 -0.375019389 +34119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.098212812 -0.375019389 +34120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.312735793 -0.375019389 +34121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.527876763 -0.375019389 +34123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.431572098 -0.375019389 +34124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.018675936 -0.375019389 +34126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.492334665 -0.375019389 +34122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.368710739 -0.375019389 +34127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.743885471 -0.375019389 +34125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.575509932 -0.375019389 +34129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.189134101 -0.375019389 +34128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.399825042 -0.375019389 +34131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.836225934 -0.375019389 +34130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.695625036 -0.375019389 +34132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.326209956 -0.375019389 +34133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.132861851 -0.375019389 +34134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.225001549 -0.375019389 +34135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.180475511 -0.375019389 +34137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.336017364 -0.375019389 +34136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.122762441 -0.375019389 +34139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.330841301 -0.375019389 +34138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.726913341 -0.375019389 +34140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.709131193 -0.375019389 +34141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.353582105 -0.375019389 +34142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.216521634 -0.375019389 +34143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.053497912 -0.375019389 +34144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.184849538 -0.375019389 +34145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.093548766 -0.375019389 +34146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.037492461 -0.375019389 +34148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.467927745 -0.375019389 +34147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.45607645 -0.375019389 +34149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.084457372 -0.375019389 +34151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.505483069 -0.375019389 +34152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.242037714 -0.375019389 +34153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.371491266 -0.375019389 +34154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.54092365 -0.375019389 +34155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.086713872 -0.375019389 +34156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.109799242 -0.375019389 +34150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.167825146 -0.375019389 +34159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.444275417 -0.375019389 +34161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.257944586 -0.375019389 +34160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.12544585 -0.375019389 +34157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.596263528 -0.375019389 +34162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.021565184 -0.375019389 +34158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.671502455 -0.375019389 +34163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.533464661 -0.375019389 +34164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.671703491 -0.375019389 +34165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.605556989 -0.375019389 +34166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.028321573 -0.375019389 +34170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.389140542 -0.375019389 +34169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.506859465 -0.375019389 +34171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.01472806 -0.375019389 +34167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.548517825 -0.375019389 +34168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.677738663 -0.375019389 +34172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.066768922 -0.375019389 +34174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.521351395 -0.375019389 +34173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.725051793 -0.375019389 +34175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.173351799 -0.375019389 +34177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.501041623 -0.375019389 +34176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.150950408 -0.375019389 +34178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.40326485 -0.375019389 +34180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.275368572 -0.375019389 +34179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.752760872 -0.375019389 +34181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.581678935 -0.375019389 +34182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.017616352 -0.375019389 +34185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.005267777 -0.375019389 +34184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.038158603 -0.375019389 +34186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.583402069 -0.375019389 +34187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.194474845 -0.375019389 +34183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.15582036 -0.375019389 +34188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.632078226 -0.375019389 +34190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.480793786 -0.375019389 +34189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.340640036 -0.375019389 +34193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.04197541 -0.375019389 +34191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.625201511 -0.375019389 +34192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.138220563 -0.375019389 +34194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.767404952 -0.375019389 +34195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.603876476 -0.375019389 +34196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.09837567 -0.375019389 +34197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.790346516 -0.375019389 +34198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.755674162 -0.375019389 +34199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.735530295 -0.375019389 +34200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.447537709 -0.375019389 +34202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.422220463 -0.375019389 +34201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.08517689 -0.375019389 +34203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.765560319 -0.375019389 +34205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.030906986 -0.375019389 +34207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.713213923 -0.375019389 +34208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.043385541 -0.375019389 +34209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.698484709 -0.375019389 +34210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.439678811 -0.375019389 +34206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.076456279 -0.375019389 +34204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -4.47E-04 -0.375019389 +34211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.094444758 -0.375019389 +34212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.315876318 -0.375019389 +34213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.71156456 -0.375019389 +34214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.196326728 -0.375019389 +34216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.153975831 -0.375019389 +34217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.666979132 -0.375019389 +34215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.06288735 -0.375019389 +34219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.466090488 -0.375019389 +34218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.381476214 -0.375019389 +34220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.091869907 -0.375019389 +34222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.033177475 -0.375019389 +34223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.261836279 -0.375019389 +34224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.382695104 -0.375019389 +34221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.458651639 -0.375019389 +34225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.233130018 -0.375019389 +34226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.229836045 -0.375019389 +34227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.01386096 -0.375019389 +34228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.645241076 -0.375019389 +34229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.540842413 -0.375019389 +34231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.508673809 -0.375019389 +34230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.292216999 -0.375019389 +34232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.821067596 -0.375019389 +34234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.259960348 -0.375019389 +34233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.344922038 -0.375019389 +34235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.2487886 -0.375019389 +34236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.210767076 -0.375019389 +34237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.223542564 -0.375019389 +34238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.706288008 -0.375019389 +34240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.091448063 -0.375019389 +34239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.54660631 -0.375019389 +34242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.488551093 -0.375019389 +34241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.174283831 -0.375019389 +34243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.452028011 -0.375019389 +34244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.804588167 -0.375019389 +34245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.008283703 -0.375019389 +34247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.677945466 -0.375019389 +34246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.56444598 -0.375019389 +34248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.308231823 -0.375019389 +34250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.699081176 -0.375019389 +34249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.372761924 -0.375019389 +34251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.367567405 -0.375019389 +34252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.387847133 -0.375019389 +34254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.387558836 -0.375019389 +34255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.637297666 -0.375019389 +34256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.065857248 -0.375019389 +34253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.044988601 -0.375019389 +34257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.301495585 -0.375019389 +34258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.35200992 -0.375019389 +34260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.281098334 -0.375019389 +34261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.358922854 -0.375019389 +34259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.174899279 -0.375019389 +34262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.363674724 -0.375019389 +34263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.182564576 -0.375019389 +34264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.718668862 -0.375019389 +34266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.353463629 -0.375019389 +34265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.134156972 -0.375019389 +34267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.091340488 -0.375019389 +34268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.454265131 -0.375019389 +34270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.67068907 -0.375019389 +34269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.92494417 -0.375019389 +34271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.226351192 -0.375019389 +34272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.52446375 -0.375019389 +34273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.366478593 -0.375019389 +34274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.051927043 -0.375019389 +34275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.016686652 -0.375019389 +34276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.5825582 -0.375019389 +34277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.041941376 -0.375019389 +34280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.094000462 -0.375019389 +34278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.702847513 -0.375019389 +34279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.41765403 -0.375019389 +34281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.345246969 -0.375019389 +34282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.1699729 -0.375019389 +34283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.698982256 -0.375019389 +34284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.432634345 -0.375019389 +34285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.58468521 -0.375019389 +34286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.580546355 -0.375019389 +34288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.79380791 -0.375019389 +34287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.043505286 -0.375019389 +34290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.294471915 -0.375019389 +34291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.587792877 -0.375019389 +34289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.021188975 -0.375019389 +34293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.348237928 -0.375019389 +34292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.577409292 -0.375019389 +34294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.149266242 -0.375019389 +34295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.116440004 -0.375019389 +34296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.437192738 -0.375019389 +34298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.490521943 -0.375019389 +34297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.619265112 -0.375019389 +34299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.471743939 -0.375019389 +34300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.46329257 -0.375019389 +34301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.246165197 -0.375019389 +34302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.023251343 -0.375019389 +34303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.650197479 -0.375019389 +34306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.136508858 -0.375019389 +34305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.742470649 -0.375019389 +34307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.754832491 -0.375019389 +34308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.529057504 -0.375019389 +34304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.128561938 -0.375019389 +34309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.636602318 -0.375019389 +34310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.182299162 -0.375019389 +34311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.140901792 -0.375019389 +34313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.063403862 -0.375019389 +34312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.10561323 -0.375019389 +34314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.204146103 -0.375019389 +34315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.604087397 -0.375019389 +34316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.241665834 -0.375019389 +34317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.051108971 -0.375019389 +34318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.059951778 -0.375019389 +34319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.746169486 -0.375019389 +34321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.278228523 -0.375019389 +34320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.164186558 -0.375019389 +34322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.033644151 -0.375019389 +34323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.406834701 -0.375019389 +34326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.269587058 -0.375019389 +34325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.693368624 -0.375019389 +34327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.55015465 -0.375019389 +34324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.288636401 -0.375019389 +34328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.616706832 -0.375019389 +34329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.700547972 -0.375019389 +34330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.181683854 -0.375019389 +34331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.668933909 -0.375019389 +34333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.648706045 -0.375019389 +34332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.721302159 -0.375019389 +34334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.732607173 -0.375019389 +34335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.811838025 -0.375019389 +34337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.757705541 -0.375019389 +34336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.279593531 -0.375019389 +34338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.636151938 -0.375019389 +34339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.495033748 -0.375019389 +34340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.699165327 -0.375019389 +34341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.352589025 -0.375019389 +34342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.017920712 -0.375019389 +34343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 9.13E-04 -0.375019389 +34344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.485810605 -0.375019389 +34345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.115072128 -0.375019389 +34347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.602531123 -0.375019389 +34346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.055154964 -0.375019389 +34349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.019510229 -0.375019389 +34348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.312684993 -0.375019389 +34350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.765667022 -0.375019389 +34352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.060521025 -0.375019389 +34353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.112083846 -0.375019389 +34355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.241662735 -0.375019389 +34351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.003097245 -0.375019389 +34356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.155732309 -0.375019389 +34354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.064677761 -0.375019389 +34358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.489113915 -0.375019389 +34357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.115985272 -0.375019389 +34359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.207048558 -0.375019389 +34360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.604264152 -0.375019389 +34361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.161494286 -0.375019389 +34364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.564977834 -0.375019389 +34366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.205109425 -0.375019389 +34362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.282441034 -0.375019389 +34365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.293191079 -0.375019389 +34363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.714725966 -0.375019389 +34367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.341635745 -0.375019389 +34368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.055054811 -0.375019389 +34369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.307987996 -0.375019389 +34370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.192581688 -0.375019389 +34373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.476475446 -0.375019389 +34371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.003357558 -0.375019389 +34374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.144152281 -0.375019389 +34375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.070085829 -0.375019389 +34372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.159051497 -0.375019389 +34376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.672294375 -0.375019389 +34377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.118563026 -0.375019389 +34378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.486838885 -0.375019389 +34379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.738642363 -0.375019389 +34382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.116275907 -0.375019389 +34380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.295828165 -0.375019389 +34383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.749446727 -0.375019389 +34384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.383553484 -0.375019389 +34381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.216614228 -0.375019389 +34385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.844896083 -0.375019389 +34386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.062581278 -0.375019389 +34387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.609082458 -0.375019389 +34388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.70687107 -0.375019389 +34389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.532105512 -0.375019389 +34391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.457507057 -0.375019389 +34392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.3569741 -0.375019389 +34390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.668356313 -0.375019389 +34394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.681668721 -0.375019389 +34395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.170276469 -0.375019389 +34396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.406258137 -0.375019389 +34397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.396620137 -0.375019389 +34399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.713707702 -0.375019389 +34398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.036770597 -0.375019389 +34393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.67978515 -0.375019389 +34400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.587230536 -0.375019389 +34401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.622191981 -0.375019389 +34402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.355970928 -0.375019389 +34404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.838436911 -0.375019389 +34403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.355016957 -0.375019389 +34406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.643349434 -0.375019389 +34407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.361719881 -0.375019389 +34405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.063756303 -0.375019389 +34410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.006824775 -0.375019389 +34411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.367007749 -0.375019389 +34409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.769701954 -0.375019389 +34408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.061152349 -0.375019389 +34413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.650358677 -0.375019389 +34412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.012779449 -0.375019389 +34415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.603782675 -0.375019389 +34414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.780606851 -0.375019389 +34416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.484451173 -0.375019389 +34418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.513522382 -0.375019389 +34417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.080206428 -0.375019389 +34419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.022947402 -0.375019389 +34420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.054215895 -0.375019389 +34421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.47016069 -0.375019389 +34422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.771738234 -0.375019389 +34423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.832888665 -0.375019389 +34425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.048643836 -0.375019389 +34424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.223737409 -0.375019389 +34426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.085873807 -0.375019389 +34428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.64252378 -0.375019389 +34429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.692155312 -0.375019389 +34430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.47235635 -0.375019389 +34431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.332185616 -0.375019389 +34427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.563062429 -0.375019389 +34433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.273782245 -0.375019389 +34432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.279280691 -0.375019389 +34434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.579507993 -0.375019389 +34436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.354014416 -0.375019389 +34435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.437750929 -0.375019389 +34437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.005488452 -0.375019389 +34438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.488690314 -0.375019389 +34439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.1342255 -0.375019389 +34440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.469335064 -0.375019389 +34441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.286139332 -0.375019389 +34442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.527987002 -0.375019389 +34443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.353658127 -0.375019389 +34444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.768163735 -0.375019389 +34446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.424462704 -0.375019389 +34445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.121246133 -0.375019389 +34447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.198994932 -0.375019389 +34449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.098532448 -0.375019389 +34450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.394097325 -0.375019389 +34451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.544439787 -0.375019389 +34452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.872355537 -0.375019389 +34448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.686761151 -0.375019389 +34453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.003404635 -0.375019389 +34454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.766964914 -0.375019389 +34455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.007963772 -0.375019389 +34457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.717410939 -0.375019389 +34456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.220538908 -0.375019389 +34458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.109633755 -0.375019389 +34459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.353144876 -0.375019389 +34461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.010901243 -0.375019389 +34462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.353750121 -0.375019389 +34460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.794650814 -0.375019389 +34463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.404468828 -0.375019389 +34464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.247741534 -0.375019389 +34465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.393946114 -0.375019389 +34466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.317175347 -0.375019389 +34467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.255343122 -0.375019389 +34468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.497298955 -0.375019389 +34469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.364131028 -0.375019389 +34470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.262444469 -0.375019389 +34471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.022110481 -0.375019389 +34474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.648602829 -0.375019389 +34473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.6699274 -0.375019389 +34472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.208272621 -0.375019389 +34475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.315681357 -0.375019389 +34476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.107680195 -0.375019389 +34477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.108150282 -0.375019389 +34479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.414640269 -0.375019389 +34478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.431023486 -0.375019389 +34481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.398108012 -0.375019389 +34482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.074023216 -0.375019389 +34480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.066618061 -0.375019389 +34483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.314355829 -0.375019389 +34484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.690093239 -0.375019389 +34485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.581348026 -0.375019389 +34486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.120119188 -0.375019389 +34487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.418291336 -0.375019389 +34488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.008357934 -0.375019389 +34490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.177326723 -0.375019389 +34489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.723790875 -0.375019389 +34491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.741463832 -0.375019389 +34492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.100705187 -0.375019389 +34493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.899776774 -0.375019389 +34494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.093122204 -0.375019389 +34496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.016349076 -0.375019389 +34497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.873601141 -0.375019389 +34498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.061726595 -0.375019389 +34495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.748172578 -0.375019389 +34500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.13856739 -0.375019389 +34501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.662778186 -0.375019389 +34502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.112474335 -0.375019389 +34503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.528823891 -0.375019389 +34504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.170181605 -0.375019389 +34505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.016756467 -0.375019389 +34499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.099257521 -0.375019389 +34506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.752043784 -0.375019389 +34507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.472339443 -0.375019389 +34509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.060150908 -0.375019389 +34508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.412068679 -0.375019389 +34510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.13304677 -0.375019389 +34511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.014890381 -0.375019389 +34513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.68053812 -0.375019389 +34512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.088530278 -0.375019389 +34515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.559931719 -0.375019389 +34517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.33527747 -0.375019389 +34516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.147690778 -0.375019389 +34518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.500424686 -0.375019389 +34520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.411962263 -0.375019389 +34521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.083648325 -0.375019389 +34514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.145441735 -0.375019389 +34519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.326701828 -0.375019389 +34522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.521490967 -0.375019389 +34524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.277640933 -0.375019389 +34525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.263767414 -0.375019389 +34523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.178302131 -0.375019389 +34527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.339221172 -0.375019389 +34529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.082882635 -0.375019389 +34528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.566172102 -0.375019389 +34526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.3224986 -0.375019389 +34531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.418674322 -0.375019389 +34532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.653005413 -0.375019389 +34533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.718282839 -0.375019389 +34530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.045978067 -0.375019389 +34534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.764150701 -0.375019389 +34537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.486588892 -0.375019389 +34535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.612637182 -0.375019389 +34538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.333538734 -0.375019389 +34540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.622120586 -0.375019389 +34539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.261801615 -0.375019389 +34536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.21420616 -0.375019389 +34541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.618600872 -0.375019389 +34542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.006709308 -0.375019389 +34543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.466510581 -0.375019389 +34544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.371466026 -0.375019389 +34545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.66088415 -0.375019389 +34546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.019453054 -0.375019389 +34548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.545869113 -0.375019389 +34547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.240558132 -0.375019389 +34550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.076910858 -0.375019389 +34551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.612755747 -0.375019389 +34549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.220258627 -0.375019389 +34552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.531778805 -0.375019389 +34554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.15860058 -0.375019389 +34556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.199865947 -0.375019389 +34553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.021527998 -0.375019389 +34555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.185533855 -0.375019389 +34557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.631343701 -0.375019389 +34559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.101063544 -0.375019389 +34558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.72490856 -0.375019389 +34561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.330933599 -0.375019389 +34564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.297585254 -0.375019389 +34562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.345971032 -0.375019389 +34566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.183958483 -0.375019389 +34565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.763689247 -0.375019389 +34560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.678462417 -0.375019389 +34563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.444291891 -0.375019389 +34567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.670699274 -0.375019389 +34568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.657035453 -0.375019389 +34570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.173514592 -0.375019389 +34569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.558920291 -0.375019389 +34572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.353473883 -0.375019389 +34573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.765226159 -0.375019389 +34574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.279863223 -0.375019389 +34571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.648866474 -0.375019389 +34575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.041501451 -0.375019389 +34577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.001065948 -0.375019389 +34576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.347315593 -0.375019389 +34580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.081726902 -0.375019389 +34579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.556263856 -0.375019389 +34582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.82638184 -0.375019389 +34578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.545382044 -0.375019389 +34581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.473618386 -0.375019389 +34583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.066447972 -0.375019389 +34584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.689485478 -0.375019389 +34585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.348576466 -0.375019389 +34587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.594852956 -0.375019389 +34588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.057506296 -0.375019389 +34589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.047388177 -0.375019389 +34586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.12171403 -0.375019389 +34590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.644470116 -0.375019389 +34591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.509922199 -0.375019389 +34592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.1053615 -0.375019389 +34593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.716689416 -0.375019389 +34594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.083156021 -0.375019389 +34595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.681154746 -0.375019389 +34596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.676727132 -0.375019389 +34597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.400377951 -0.375019389 +34598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.690802019 -0.375019389 +34599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.153383058 -0.375019389 +34600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.316874643 -0.375019389 +34601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.49790337 -0.375019389 +34602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.036054931 -0.375019389 +34603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.196593339 -0.375019389 +34604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.526584725 -0.375019389 +34605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.742754147 -0.375019389 +34607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.517294461 -0.375019389 +34606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.457381103 -0.375019389 +34608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.199883776 -0.375019389 +34609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.627668428 -0.375019389 +34610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.453036883 -0.375019389 +34612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.277854919 -0.375019389 +34611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.746677491 -0.375019389 +34613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.045103988 -0.375019389 +34614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.019465762 -0.375019389 +34618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.024840346 -0.375019389 +34616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.694276227 -0.375019389 +34617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.661378053 -0.375019389 +34615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.750333904 -0.375019389 +34619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.750625979 -0.375019389 +34620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.438380094 -0.375019389 +34621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.759375178 -0.375019389 +34622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.018098043 -0.375019389 +34624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.651440806 -0.375019389 +34625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.270396679 -0.375019389 +34623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.751885548 -0.375019389 +34626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.029615055 -0.375019389 +34627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.264119355 -0.375019389 +34628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.01283197 -0.375019389 +34629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.590882191 -0.375019389 +34630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.465599712 -0.375019389 +34632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.645169587 -0.375019389 +34633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.04299866 -0.375019389 +34631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.451129241 -0.375019389 +34635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.568553399 -0.375019389 +34634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.254918552 -0.375019389 +34636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.258314577 -0.375019389 +34637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.011663406 -0.375019389 +34640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.313872313 -0.375019389 +34638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.239437644 -0.375019389 +34639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.448913673 -0.375019389 +34641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.371421811 -0.375019389 +34642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.265794768 -0.375019389 +34644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.272039883 -0.375019389 +34643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.211756646 -0.375019389 +34645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.066632452 -0.375019389 +34646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.362358195 -0.375019389 +34647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.561726552 -0.375019389 +34648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.162345 -0.375019389 +34649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.100183957 -0.375019389 +34650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.039748882 -0.375019389 +34651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.48111303 -0.375019389 +34653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.257535841 -0.375019389 +34654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.423490062 -0.375019389 +34655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.417380848 -0.375019389 +34657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.198928558 -0.375019389 +34652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.040124641 -0.375019389 +34656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.2956859 -0.375019389 +34658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.170709563 -0.375019389 +34659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.681785162 -0.375019389 +34660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.19707381 -0.375019389 +34661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.247351069 -0.375019389 +34662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.827534612 -0.375019389 +34664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.565408837 -0.375019389 +34663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.516020918 -0.375019389 +34666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.089742558 -0.375019389 +34665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.537587719 -0.375019389 +34667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.553114052 -0.375019389 +34668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.513111221 -0.375019389 +34669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.119767479 -0.375019389 +34671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.383876473 -0.375019389 +34673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.521063511 -0.375019389 +34670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.598365126 -0.375019389 +34674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.02053221 -0.375019389 +34672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.284064275 -0.375019389 +34676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.423355852 -0.375019389 +34675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.106619543 -0.375019389 +34677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.506406459 -0.375019389 +34678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.283098627 -0.375019389 +34679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.181496336 -0.375019389 +34680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.589998119 -0.375019389 +34681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.661730561 -0.375019389 +34682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.188374364 -0.375019389 +34684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.495238137 -0.375019389 +34683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.776581215 -0.375019389 +34685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.747287269 -0.375019389 +34686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.721466481 -0.375019389 +34688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.43219718 -0.375019389 +34687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.59201797 -0.375019389 +34689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.03798164 -0.375019389 +34690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.282821409 -0.375019389 +34692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.421897225 -0.375019389 +34691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.098714049 -0.375019389 +34694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.093151546 -0.375019389 +34693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.180320074 -0.375019389 +34695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.481239906 -0.375019389 +34696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.569222211 -0.375019389 +34697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.563414491 -0.375019389 +34698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.083049554 -0.375019389 +34701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.493654306 -0.375019389 +34700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.05455649 -0.375019389 +34702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.091165433 -0.375019389 +34699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.195058646 -0.375019389 +34704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.624632894 -0.375019389 +34705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.423338189 -0.375019389 +34703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.66460375 -0.375019389 +34707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.018092312 -0.375019389 +34709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.317058241 -0.375019389 +34708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.0594368 -0.375019389 +34710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.25786469 -0.375019389 +34706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.406306157 -0.375019389 +34712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.309356201 -0.375019389 +34711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.315631361 -0.375019389 +34713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.432960393 -0.375019389 +34714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.715997577 -0.375019389 +34716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.719221052 -0.375019389 +34715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.108384651 -0.375019389 +34717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.224888913 -0.375019389 +34719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.004671329 -0.375019389 +34718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.3849291 -0.375019389 +34720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.650052885 -0.375019389 +34722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.759169405 -0.375019389 +34721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.415866963 -0.375019389 +34724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.444013273 -0.375019389 +34723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.040131531 -0.375019389 +34725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.083113327 -0.375019389 +34726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.011914838 -0.375019389 +34728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.684256839 -0.375019389 +34729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.14624688 -0.375019389 +34730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.106319989 -0.375019389 +34732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.684206368 -0.375019389 +34731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.09294658 -0.375019389 +34727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.224170027 -0.375019389 +34733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.418101346 -0.375019389 +34734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.670468528 -0.375019389 +34735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.287703279 -0.375019389 +34736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.54365802 -0.375019389 +34739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.08690939 -0.375019389 +34738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.586795282 -0.375019389 +34737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.589994955 -0.375019389 +34740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.263229384 -0.375019389 +34741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.31672601 -0.375019389 +34742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.810078521 -0.375019389 +34743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.011885546 -0.375019389 +34744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.097942989 -0.375019389 +34747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.487380366 -0.375019389 +34746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.364468083 -0.375019389 +34745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.050021945 -0.375019389 +34749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.014094534 -0.375019389 +34750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.516054043 -0.375019389 +34748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.32571741 -0.375019389 +34753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.702212215 -0.375019389 +34752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.674696965 -0.375019389 +34754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.499957435 -0.375019389 +34751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.270861267 -0.375019389 +34755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.453352896 -0.375019389 +34756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.636741625 -0.375019389 +34757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.62808351 -0.375019389 +34758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.663881702 -0.375019389 +34760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.058296559 -0.375019389 +34762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.343697937 -0.375019389 +34761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.043276403 -0.375019389 +34763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.204720208 -0.375019389 +34759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.018408916 -0.375019389 +34764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.549621224 -0.375019389 +34765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.053567642 -0.375019389 +34767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.315181787 -0.375019389 +34766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.141714742 -0.375019389 +34768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.309974089 -0.375019389 +34769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.061463179 -0.375019389 +34771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.317927437 -0.375019389 +34770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.214215061 -0.375019389 +34772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.645776787 -0.375019389 +34773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.409213388 -0.375019389 +34774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.148914995 -0.375019389 +34776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.738985538 -0.375019389 +34777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.690741892 -0.375019389 +34779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.259504094 -0.375019389 +34778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.503658931 -0.375019389 +34781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.233513595 -0.375019389 +34780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.280099303 -0.375019389 +34775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.418998628 -0.375019389 +34782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.655669061 -0.375019389 +34783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.126870129 -0.375019389 +34784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.706800833 -0.375019389 +34785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.328648367 -0.375019389 +34787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.542897593 -0.375019389 +34786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.229013051 -0.375019389 +34788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.721185857 -0.375019389 +34789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.128435897 -0.375019389 +34790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.029773852 -0.375019389 +34792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.240677457 -0.375019389 +34793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.200696894 -0.375019389 +34795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.635866148 -0.375019389 +34791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.149728181 -0.375019389 +34794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.500846931 -0.375019389 +34796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.119623885 -0.375019389 +34798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.026132721 -0.375019389 +34799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.392898603 -0.375019389 +34800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.724186469 -0.375019389 +34802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.560594287 -0.375019389 +34803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.010977974 -0.375019389 +34804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.702371257 -0.375019389 +34801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.486045587 -0.375019389 +34797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.537945474 -0.375019389 +34806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.800047022 -0.375019389 +34805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.017913992 -0.375019389 +34807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.115196992 -0.375019389 +34809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.548131113 -0.375019389 +34808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.489596549 -0.375019389 +34810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.689615376 -0.375019389 +34811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.012322388 -0.375019389 +34812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.13982621 -0.375019389 +34813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.440794322 -0.375019389 +34814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.592771596 -0.375019389 +34815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.378254683 -0.375019389 +34817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.042838527 -0.375019389 +34818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.626828893 -0.375019389 +34819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.707807519 -0.375019389 +34816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.923281086 -0.375019389 +34821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.055704563 -0.375019389 +34822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.727679592 -0.375019389 +34824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.199002486 -0.375019389 +34825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.035801284 -0.375019389 +34823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.739860478 -0.375019389 +34826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.494650184 -0.375019389 +34827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.688993393 -0.375019389 +34820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.471971265 -0.375019389 +34828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.720585323 -0.375019389 +34829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.096422429 -0.375019389 +34831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.338549676 -0.375019389 +34832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.142320288 -0.375019389 +34833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.643387778 -0.375019389 +34834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.405072904 -0.375019389 +34835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.512816605 -0.375019389 +34830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.626962763 -0.375019389 +34837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.441030052 -0.375019389 +34836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.502911001 -0.375019389 +34838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.590352107 -0.375019389 +34839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.068351835 -0.375019389 +34840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.291892933 -0.375019389 +34841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.185947556 -0.375019389 +34843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.146724654 -0.375019389 +34845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.70390797 -0.375019389 +34844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.508225532 -0.375019389 +34846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.244733205 -0.375019389 +34848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.255776077 -0.375019389 +34847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.390334691 -0.375019389 +34842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.308071701 -0.375019389 +34849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.169295789 -0.375019389 +34851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.584174902 -0.375019389 +34850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.02430077 -0.375019389 +34852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.678394327 -0.375019389 +34853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.136012216 -0.375019389 +34854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.589653573 -0.375019389 +34855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.165074971 -0.375019389 +34856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.213028878 -0.375019389 +34858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.147451534 -0.375019389 +34860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.453724857 -0.375019389 +34857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.130243478 -0.375019389 +34861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.462818634 -0.375019389 +34859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.510836543 -0.375019389 +34862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.507300564 -0.375019389 +34864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.368189832 -0.375019389 +34863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.590138356 -0.375019389 +34866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.277280436 -0.375019389 +34865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.367949749 -0.375019389 +34867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.128513721 -0.375019389 +34868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.508974388 -0.375019389 +34869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.702670541 -0.375019389 +34870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.241123248 -0.375019389 +34871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.089437192 -0.375019389 +34874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.546159525 -0.375019389 +34873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.339096592 -0.375019389 +34872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.714688771 -0.375019389 +34875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.234112472 -0.375019389 +34877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.111076656 -0.375019389 +34876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.609135969 -0.375019389 +34878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.544625692 -0.375019389 +34879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.067916266 -0.375019389 +34880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.217273092 -0.375019389 +34881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.5562492 -0.375019389 +34884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.15553213 -0.375019389 +34882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.110660702 -0.375019389 +34885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.269916857 -0.375019389 +34883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.449019427 -0.375019389 +34886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.541150204 -0.375019389 +34888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.021618159 -0.375019389 +34889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.716193807 -0.375019389 +34892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.423342597 -0.375019389 +34893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.130015875 -0.375019389 +34890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.610676946 -0.375019389 +34891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.174044797 -0.375019389 +34887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.531689173 -0.375019389 +34894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.565115618 -0.375019389 +34895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.372179818 -0.375019389 +34896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.036929094 -0.375019389 +34897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.292344736 -0.375019389 +34899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.094190701 -0.375019389 +34900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.71892028 -0.375019389 +34898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.04104015 -0.375019389 +34902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.416373771 -0.375019389 +34901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.473987353 -0.375019389 +34904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.646154862 -0.375019389 +34903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.604109556 -0.375019389 +34905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.297224338 -0.375019389 +34906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.448029685 -0.375019389 +34907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.221298307 -0.375019389 +34908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.058525685 -0.375019389 +34909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.584712154 -0.375019389 +34910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.043775648 -0.375019389 +34911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.310368688 -0.375019389 +34912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.783213187 -0.375019389 +34913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.695912169 -0.375019389 +34914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.816511915 -0.375019389 +34915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.092360136 -0.375019389 +34916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.623169794 -0.375019389 +34917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.305473939 -0.375019389 +34918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.280619432 -0.375019389 +34920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.337528378 -0.375019389 +34921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.265850055 -0.375019389 +34919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.123789738 -0.375019389 +34922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.515909261 -0.375019389 +34923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.293338689 -0.375019389 +34925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.078390898 -0.375019389 +34924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.074104876 -0.375019389 +34926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.527120819 -0.375019389 +34927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.495822999 -0.375019389 +34929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.69944049 -0.375019389 +34930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.605037801 -0.375019389 +34928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.218083169 -0.375019389 +34931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.344903714 -0.375019389 +34932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.614187995 -0.375019389 +34933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.398232008 -0.375019389 +34935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.009972095 -0.375019389 +34938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.561213575 -0.375019389 +34936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.63088608 -0.375019389 +34934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.36906882 -0.375019389 +34939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.349997945 -0.375019389 +34937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.439647776 -0.375019389 +34940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.040878957 -0.375019389 +34941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.609873488 -0.375019389 +34942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.638627956 -0.375019389 +34943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.095865736 -0.375019389 +34944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.308124825 -0.375019389 +34945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.219626155 -0.375019389 +34947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.349430332 -0.375019389 +34948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.272881635 -0.375019389 +34949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.611433595 -0.375019389 +34950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.755794428 -0.375019389 +34952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.719563468 -0.375019389 +34951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.557521086 -0.375019389 +34946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.611682797 -0.375019389 +34954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.604879141 -0.375019389 +34955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.513749958 -0.375019389 +34956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.461455166 -0.375019389 +34953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.062832705 -0.375019389 +34957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.808630569 -0.375019389 +34959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.136623394 -0.375019389 +34958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.760658268 -0.375019389 +34960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.697495388 -0.375019389 +34961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.282398764 -0.375019389 +34963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.26446023 -0.375019389 +34964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.655320952 -0.375019389 +34962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.313390664 -0.375019389 +34965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.042113565 -0.375019389 +34967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.168835679 -0.375019389 +34966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.457893813 -0.375019389 +34968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.736279516 -0.375019389 +34969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.55424904 -0.375019389 +34970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.119611047 -0.375019389 +34972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.637714544 -0.375019389 +34973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.090748036 -0.375019389 +34974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.467277807 -0.375019389 +34975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.791890044 -0.375019389 +34976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.34430074 -0.375019389 +34971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.740705542 -0.375019389 +34977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.204238324 -0.375019389 +34978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.472396091 -0.375019389 +34980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.035845317 -0.375019389 +34981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.130983477 -0.375019389 +34982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.236091186 -0.375019389 +34983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.231726306 -0.375019389 +34979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.368076516 -0.375019389 +34984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.505081455 -0.375019389 +34985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.398086896 -0.375019389 +34987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.072372297 -0.375019389 +34986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.558768304 -0.375019389 +34988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.029575277 -0.375019389 +34989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.484704291 -0.375019389 +34991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.757177942 -0.375019389 +34990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.611353612 -0.375019389 +34993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 0.003237319 -0.375019389 +34992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.104561535 -0.375019389 +34996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.125547352 -0.375019389 +34994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.680372443 -0.375019389 +34997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.062312646 -0.375019389 +34995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.423807823 -0.375019389 +34998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.449032173 -0.375019389 +34999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.852766237 -0.375019389 +35000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.7 10 1 -0.565202336 -0.375019389 +35001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.371324252 -0.381617765 +35002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.666868098 -0.381617765 +35003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.447857981 -0.381617765 +35004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.662984804 -0.381617765 +35005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.296908827 -0.381617765 +35006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.03523914 -0.381617765 +35007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.431331422 -0.381617765 +35008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.768111166 -0.381617765 +35009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.531666278 -0.381617765 +35010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.47108231 -0.381617765 +35012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.334471845 -0.381617765 +35013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.284345434 -0.381617765 +35014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.05532149 -0.381617765 +35015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.159769236 -0.381617765 +35011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.778045653 -0.381617765 +35016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.605978892 -0.381617765 +35017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.445028909 -0.381617765 +35018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.214574568 -0.381617765 +35019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.135994395 -0.381617765 +35022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.410778717 -0.381617765 +35021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.406862951 -0.381617765 +35020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.180062824 -0.381617765 +35023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.584164007 -0.381617765 +35024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.551859756 -0.381617765 +35025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.803428043 -0.381617765 +35026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.084990787 -0.381617765 +35027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.179251639 -0.381617765 +35028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.516064819 -0.381617765 +35029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.183903091 -0.381617765 +35030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.442022199 -0.381617765 +35032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.536294373 -0.381617765 +35031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.08289931 -0.381617765 +35033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.776807894 -0.381617765 +35034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.742347282 -0.381617765 +35035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.507196708 -0.381617765 +35037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.584565689 -0.381617765 +35036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.576411488 -0.381617765 +35039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.421743109 -0.381617765 +35038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.215143954 -0.381617765 +35041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.244891079 -0.381617765 +35042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.465995173 -0.381617765 +35043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.7136726 -0.381617765 +35044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.4372849 -0.381617765 +35045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.047141045 -0.381617765 +35046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.257682107 -0.381617765 +35040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.165213499 -0.381617765 +35047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.351502671 -0.381617765 +35048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.770786773 -0.381617765 +35049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.547202659 -0.381617765 +35050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.03659741 -0.381617765 +35052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.773886051 -0.381617765 +35055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.331004931 -0.381617765 +35051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.395955617 -0.381617765 +35056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.417361908 -0.381617765 +35053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.620139081 -0.381617765 +35058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.213484814 -0.381617765 +35057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.180713181 -0.381617765 +35054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.682980036 -0.381617765 +35059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.076560259 -0.381617765 +35061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.176050713 -0.381617765 +35060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.356553996 -0.381617765 +35063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.283620897 -0.381617765 +35064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.187109917 -0.381617765 +35062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.361519824 -0.381617765 +35065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.780069964 -0.381617765 +35066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.139323646 -0.381617765 +35067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.443229435 -0.381617765 +35069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.133383897 -0.381617765 +35068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.011443493 -0.381617765 +35071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.456066803 -0.381617765 +35072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.167076948 -0.381617765 +35073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.327643266 -0.381617765 +35070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.144812866 -0.381617765 +35075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.285723717 -0.381617765 +35074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.393500748 -0.381617765 +35077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.251476138 -0.381617765 +35076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.254233716 -0.381617765 +35078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.447518444 -0.381617765 +35080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.656075169 -0.381617765 +35079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.630956421 -0.381617765 +35081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.330149411 -0.381617765 +35082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.173259425 -0.381617765 +35084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.002467468 -0.381617765 +35083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.733113817 -0.381617765 +35085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.48958275 -0.381617765 +35086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.177551301 -0.381617765 +35087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.57498031 -0.381617765 +35088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.177910798 -0.381617765 +35089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.155397409 -0.381617765 +35090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.034110057 -0.381617765 +35093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.305042343 -0.381617765 +35092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.438348829 -0.381617765 +35091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.208789106 -0.381617765 +35094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.3455511 -0.381617765 +35096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.6353896 -0.381617765 +35095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.259552969 -0.381617765 +35098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.423872201 -0.381617765 +35097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.768549188 -0.381617765 +35101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.624917084 -0.381617765 +35102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.25317677 -0.381617765 +35103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.667288882 -0.381617765 +35104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.404904675 -0.381617765 +35100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.631456473 -0.381617765 +35099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.119698725 -0.381617765 +35105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.477289177 -0.381617765 +35106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.261410705 -0.381617765 +35107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.402127005 -0.381617765 +35108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.471441023 -0.381617765 +35109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.759672866 -0.381617765 +35110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.389849782 -0.381617765 +35112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.618296005 -0.381617765 +35113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.390648242 -0.381617765 +35111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.693629435 -0.381617765 +35114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.52096065 -0.381617765 +35115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.287272494 -0.381617765 +35117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.239671026 -0.381617765 +35118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.382680258 -0.381617765 +35116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.099948468 -0.381617765 +35119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.566467153 -0.381617765 +35120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.013192661 -0.381617765 +35121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.153750217 -0.381617765 +35122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.098473442 -0.381617765 +35125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.061686129 -0.381617765 +35124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.118158209 -0.381617765 +35126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.626215388 -0.381617765 +35127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.131651201 -0.381617765 +35128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.150011604 -0.381617765 +35123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.085077398 -0.381617765 +35130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.401375007 -0.381617765 +35132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.388148902 -0.381617765 +35131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.419602128 -0.381617765 +35133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.697478764 -0.381617765 +35129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.500431191 -0.381617765 +35134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.166019472 -0.381617765 +35135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.011879094 -0.381617765 +35136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.595988542 -0.381617765 +35137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.442745561 -0.381617765 +35139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.200993296 -0.381617765 +35140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.148313187 -0.381617765 +35138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.398246737 -0.381617765 +35141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.280656712 -0.381617765 +35143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.407949477 -0.381617765 +35144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.827658897 -0.381617765 +35145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.279909534 -0.381617765 +35142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.348922821 -0.381617765 +35148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.261186231 -0.381617765 +35147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.355200885 -0.381617765 +35146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.534218052 -0.381617765 +35149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.839872544 -0.381617765 +35151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.171036316 -0.381617765 +35153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 7.12E-04 -0.381617765 +35152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.095973398 -0.381617765 +35150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.190932698 -0.381617765 +35154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.070475851 -0.381617765 +35156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.718696881 -0.381617765 +35155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.448426134 -0.381617765 +35157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.684096552 -0.381617765 +35158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.75079324 -0.381617765 +35160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.734241882 -0.381617765 +35161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.64591132 -0.381617765 +35159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.318255802 -0.381617765 +35164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.516707172 -0.381617765 +35163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.740489425 -0.381617765 +35162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.859538094 -0.381617765 +35165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.62605537 -0.381617765 +35168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.789378392 -0.381617765 +35167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.778900442 -0.381617765 +35166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.013919253 -0.381617765 +35169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.767231875 -0.381617765 +35170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.625560301 -0.381617765 +35171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.383749569 -0.381617765 +35172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.228935541 -0.381617765 +35173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.750861449 -0.381617765 +35175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.585381514 -0.381617765 +35177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.521610027 -0.381617765 +35176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.014963114 -0.381617765 +35174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.494736421 -0.381617765 +35178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.112975932 -0.381617765 +35180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.707500518 -0.381617765 +35179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.157003739 -0.381617765 +35182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.397082289 -0.381617765 +35181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.305855062 -0.381617765 +35184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.258790431 -0.381617765 +35185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.28671403 -0.381617765 +35183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.304336579 -0.381617765 +35186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.216804692 -0.381617765 +35187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.496885569 -0.381617765 +35188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.001783788 -0.381617765 +35193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.805831101 -0.381617765 +35189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.615657071 -0.381617765 +35191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.406085813 -0.381617765 +35190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.345102934 -0.381617765 +35192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.708432759 -0.381617765 +35195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.006717456 -0.381617765 +35194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.631099726 -0.381617765 +35196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.551518758 -0.381617765 +35198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.684940727 -0.381617765 +35199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.127815097 -0.381617765 +35200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.3593688 -0.381617765 +35201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.561278429 -0.381617765 +35203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.684670928 -0.381617765 +35197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.232295569 -0.381617765 +35202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.683673378 -0.381617765 +35204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.011288596 -0.381617765 +35205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.696704487 -0.381617765 +35208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.044947175 -0.381617765 +35206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.639931499 -0.381617765 +35209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.347649233 -0.381617765 +35210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.115145301 -0.381617765 +35211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.394960589 -0.381617765 +35212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.385334336 -0.381617765 +35207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.712816025 -0.381617765 +35213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.67266617 -0.381617765 +35215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.127116297 -0.381617765 +35214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.057569427 -0.381617765 +35217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.397064436 -0.381617765 +35216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.437735554 -0.381617765 +35219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.647394119 -0.381617765 +35218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.61985048 -0.381617765 +35220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.004009621 -0.381617765 +35221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.395527959 -0.381617765 +35222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.290631303 -0.381617765 +35223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.175701857 -0.381617765 +35225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.460345617 -0.381617765 +35224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.376671991 -0.381617765 +35226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.818228679 -0.381617765 +35227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.524022813 -0.381617765 +35231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.064423803 -0.381617765 +35232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.24402974 -0.381617765 +35230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.606525587 -0.381617765 +35228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.370133158 -0.381617765 +35233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.144808968 -0.381617765 +35235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.625696256 -0.381617765 +35234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.800953144 -0.381617765 +35229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.723036665 -0.381617765 +35238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.021362799 -0.381617765 +35240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.33489289 -0.381617765 +35237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.510938836 -0.381617765 +35239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.521631077 -0.381617765 +35242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.358606852 -0.381617765 +35241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.077244897 -0.381617765 +35236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.83929692 -0.381617765 +35243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.298370048 -0.381617765 +35245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.061404289 -0.381617765 +35246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.499582976 -0.381617765 +35248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.549098251 -0.381617765 +35244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.21262451 -0.381617765 +35249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.109118062 -0.381617765 +35250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.652420294 -0.381617765 +35251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.757075352 -0.381617765 +35252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.336226755 -0.381617765 +35253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.621818496 -0.381617765 +35254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.563602308 -0.381617765 +35247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.196285055 -0.381617765 +35255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.512037426 -0.381617765 +35256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.032059156 -0.381617765 +35258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.382429732 -0.381617765 +35257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.108967868 -0.381617765 +35259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.152811529 -0.381617765 +35261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.020132861 -0.381617765 +35260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.725578702 -0.381617765 +35262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.538466143 -0.381617765 +35263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.81201288 -0.381617765 +35264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.185020227 -0.381617765 +35265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.439124458 -0.381617765 +35266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.037619543 -0.381617765 +35268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.787043694 -0.381617765 +35267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.66351287 -0.381617765 +35269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.643753299 -0.381617765 +35272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.48088602 -0.381617765 +35271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.141623416 -0.381617765 +35273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.190093155 -0.381617765 +35270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.368113674 -0.381617765 +35274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.515985611 -0.381617765 +35276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.721185195 -0.381617765 +35275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.668502621 -0.381617765 +35277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.726783611 -0.381617765 +35278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.409080125 -0.381617765 +35279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.236454046 -0.381617765 +35280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.380374974 -0.381617765 +35281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.058628977 -0.381617765 +35282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.601666181 -0.381617765 +35285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.79127819 -0.381617765 +35284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.658496358 -0.381617765 +35283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.290907888 -0.381617765 +35286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.124156735 -0.381617765 +35289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.349226694 -0.381617765 +35287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.154206014 -0.381617765 +35290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.099701591 -0.381617765 +35288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.242312599 -0.381617765 +35292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.171027928 -0.381617765 +35294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.583870688 -0.381617765 +35291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.239911346 -0.381617765 +35293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.071571223 -0.381617765 +35295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.08268655 -0.381617765 +35297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.769436001 -0.381617765 +35296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.003765971 -0.381617765 +35298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.531253728 -0.381617765 +35299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.449025424 -0.381617765 +35300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.389046073 -0.381617765 +35301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.676182432 -0.381617765 +35302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.198193982 -0.381617765 +35306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.087724531 -0.381617765 +35304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.737813974 -0.381617765 +35308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.677466985 -0.381617765 +35307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.789309869 -0.381617765 +35303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.066787265 -0.381617765 +35309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.269594876 -0.381617765 +35305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.004567886 -0.381617765 +35310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.502749941 -0.381617765 +35311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.498129522 -0.381617765 +35312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.579046137 -0.381617765 +35313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.079162369 -0.381617765 +35314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.799094684 -0.381617765 +35316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.590777314 -0.381617765 +35315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.293436119 -0.381617765 +35317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.511959683 -0.381617765 +35319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.150690257 -0.381617765 +35318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.479071001 -0.381617765 +35321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.484894808 -0.381617765 +35322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.722992413 -0.381617765 +35323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.408757109 -0.381617765 +35324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.837256075 -0.381617765 +35320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.188085949 -0.381617765 +35327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.199862338 -0.381617765 +35326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.407904397 -0.381617765 +35328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.145752417 -0.381617765 +35329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.182757853 -0.381617765 +35330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.651459734 -0.381617765 +35331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.782391587 -0.381617765 +35325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.501945321 -0.381617765 +35332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.552690093 -0.381617765 +35333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.629725721 -0.381617765 +35335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.486652028 -0.381617765 +35334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.555901467 -0.381617765 +35337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.483229256 -0.381617765 +35336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.626995595 -0.381617765 +35338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.60372839 -0.381617765 +35340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.013157921 -0.381617765 +35339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.285920038 -0.381617765 +35341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.130642222 -0.381617765 +35342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.016892107 -0.381617765 +35343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.497066117 -0.381617765 +35344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.202265122 -0.381617765 +35345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.035203878 -0.381617765 +35346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.189425539 -0.381617765 +35347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.413433753 -0.381617765 +35348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.164200723 -0.381617765 +35349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.074677401 -0.381617765 +35350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.591216482 -0.381617765 +35352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.621142681 -0.381617765 +35351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.621690759 -0.381617765 +35353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.525717486 -0.381617765 +35354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.086947379 -0.381617765 +35355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.45581126 -0.381617765 +35356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.022470558 -0.381617765 +35357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.403450367 -0.381617765 +35358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.704614378 -0.381617765 +35359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.18977433 -0.381617765 +35360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.611458089 -0.381617765 +35362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.886978415 -0.381617765 +35363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.265430813 -0.381617765 +35361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.696983579 -0.381617765 +35364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.753039017 -0.381617765 +35365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.035563639 -0.381617765 +35366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.414780727 -0.381617765 +35368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.094030214 -0.381617765 +35369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.641086624 -0.381617765 +35367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.671004667 -0.381617765 +35370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.752802746 -0.381617765 +35371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.035873497 -0.381617765 +35373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.448231053 -0.381617765 +35374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.036239882 -0.381617765 +35375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.35185037 -0.381617765 +35372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.813630611 -0.381617765 +35379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.081842962 -0.381617765 +35376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.141420377 -0.381617765 +35378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.629468178 -0.381617765 +35377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.313310328 -0.381617765 +35380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.729356494 -0.381617765 +35381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.338172659 -0.381617765 +35382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.628051019 -0.381617765 +35383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.430379804 -0.381617765 +35386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.156056798 -0.381617765 +35384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.614742657 -0.381617765 +35387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.28540679 -0.381617765 +35385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.033526979 -0.381617765 +35388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.267021217 -0.381617765 +35389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.093622246 -0.381617765 +35390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.678509601 -0.381617765 +35392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.126418798 -0.381617765 +35393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.711437805 -0.381617765 +35394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.54816484 -0.381617765 +35395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.640136843 -0.381617765 +35391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.689659777 -0.381617765 +35398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.105917124 -0.381617765 +35397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.062858675 -0.381617765 +35396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.028315 -0.381617765 +35399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.594515867 -0.381617765 +35401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.290288658 -0.381617765 +35400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.551711863 -0.381617765 +35402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.015793007 -0.381617765 +35403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.619930116 -0.381617765 +35405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.437208057 -0.381617765 +35404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.661871117 -0.381617765 +35406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.175818074 -0.381617765 +35407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.298729005 -0.381617765 +35408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.38504345 -0.381617765 +35409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.782336041 -0.381617765 +35410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.528765983 -0.381617765 +35411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.231896773 -0.381617765 +35412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.256468509 -0.381617765 +35413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.320992093 -0.381617765 +35414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.576882874 -0.381617765 +35415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.629261741 -0.381617765 +35416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.560028447 -0.381617765 +35418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.624259057 -0.381617765 +35417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.558057509 -0.381617765 +35419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.743968082 -0.381617765 +35420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.682082819 -0.381617765 +35421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.535276993 -0.381617765 +35422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.104837264 -0.381617765 +35423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.566694113 -0.381617765 +35426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.07827892 -0.381617765 +35424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.021646 -0.381617765 +35425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.780076152 -0.381617765 +35427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.308912749 -0.381617765 +35429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.623138759 -0.381617765 +35431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.468511223 -0.381617765 +35430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.014017392 -0.381617765 +35428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.683376821 -0.381617765 +35432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.703454484 -0.381617765 +35434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.318279519 -0.381617765 +35433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.721862986 -0.381617765 +35436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.582392476 -0.381617765 +35435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.709975265 -0.381617765 +35439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.152448587 -0.381617765 +35437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.187409707 -0.381617765 +35440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.58925935 -0.381617765 +35438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.281982568 -0.381617765 +35441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.422185455 -0.381617765 +35442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.859449072 -0.381617765 +35443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.769461293 -0.381617765 +35444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.125663578 -0.381617765 +35446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.673009414 -0.381617765 +35448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.329650522 -0.381617765 +35447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.831767722 -0.381617765 +35445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.711034059 -0.381617765 +35449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.152446719 -0.381617765 +35450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.684405423 -0.381617765 +35451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.574498524 -0.381617765 +35453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.038618476 -0.381617765 +35455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.718375774 -0.381617765 +35454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.451774319 -0.381617765 +35452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.668329651 -0.381617765 +35456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.431772468 -0.381617765 +35457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.301490347 -0.381617765 +35458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.403104701 -0.381617765 +35459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.3971066 -0.381617765 +35460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.02749627 -0.381617765 +35462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.319301797 -0.381617765 +35461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.005181646 -0.381617765 +35464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.461135529 -0.381617765 +35463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.639107888 -0.381617765 +35465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.64194333 -0.381617765 +35467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.279119622 -0.381617765 +35466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.472675358 -0.381617765 +35468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.082999787 -0.381617765 +35470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.205510831 -0.381617765 +35469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.39832904 -0.381617765 +35471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.284225445 -0.381617765 +35473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.371962427 -0.381617765 +35474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.228422143 -0.381617765 +35475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.476917578 -0.381617765 +35476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.023693059 -0.381617765 +35477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.522036075 -0.381617765 +35472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.629733945 -0.381617765 +35478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.563975054 -0.381617765 +35479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.086961754 -0.381617765 +35480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.054898297 -0.381617765 +35482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.032644212 -0.381617765 +35481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.757298228 -0.381617765 +35483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.233615906 -0.381617765 +35484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.143743722 -0.381617765 +35487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.61324211 -0.381617765 +35485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.193026343 -0.381617765 +35486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.372651465 -0.381617765 +35490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.020775438 -0.381617765 +35488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.751541812 -0.381617765 +35492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.507985586 -0.381617765 +35493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.126561038 -0.381617765 +35495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.473924002 -0.381617765 +35491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.387933845 -0.381617765 +35489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.62713061 -0.381617765 +35494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.163771476 -0.381617765 +35497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.479326056 -0.381617765 +35496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.452921742 -0.381617765 +35498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.503839034 -0.381617765 +35500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.001892012 -0.381617765 +35499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.033002671 -0.381617765 +35501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.257143045 -0.381617765 +35502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.447174443 -0.381617765 +35505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.846157588 -0.381617765 +35503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.651267422 -0.381617765 +35506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.795042654 -0.381617765 +35508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.540772772 -0.381617765 +35509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.713791098 -0.381617765 +35507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.23005318 -0.381617765 +35504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.473922549 -0.381617765 +35510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.04785684 -0.381617765 +35512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.476562957 -0.381617765 +35511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.53334616 -0.381617765 +35513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.808408684 -0.381617765 +35516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.379637667 -0.381617765 +35514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.679583598 -0.381617765 +35517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.187607575 -0.381617765 +35515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.721851766 -0.381617765 +35518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.375204215 -0.381617765 +35520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.702075553 -0.381617765 +35521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.32396556 -0.381617765 +35519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.0508521 -0.381617765 +35523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.331822553 -0.381617765 +35522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.677961854 -0.381617765 +35525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.176917608 -0.381617765 +35524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.57741569 -0.381617765 +35526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.272945785 -0.381617765 +35527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.718179477 -0.381617765 +35528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.748558027 -0.381617765 +35529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.572795517 -0.381617765 +35530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.272930376 -0.381617765 +35532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.119140587 -0.381617765 +35533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.592753761 -0.381617765 +35531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.241679285 -0.381617765 +35534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.236836323 -0.381617765 +35535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.501049773 -0.381617765 +35536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.361852562 -0.381617765 +35538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.473580218 -0.381617765 +35539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.409104059 -0.381617765 +35537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.281227878 -0.381617765 +35540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.230215867 -0.381617765 +35542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.123754729 -0.381617765 +35541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.649964306 -0.381617765 +35543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.368554496 -0.381617765 +35544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.675452423 -0.381617765 +35546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.060539517 -0.381617765 +35545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.524213518 -0.381617765 +35547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.02283901 -0.381617765 +35550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.612847765 -0.381617765 +35548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.400726195 -0.381617765 +35549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.328959792 -0.381617765 +35551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.653999822 -0.381617765 +35552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.403893459 -0.381617765 +35554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.128245998 -0.381617765 +35553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.70888122 -0.381617765 +35556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.047810943 -0.381617765 +35558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.543391699 -0.381617765 +35557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.760266936 -0.381617765 +35559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.293563852 -0.381617765 +35560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.691843753 -0.381617765 +35561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.363912546 -0.381617765 +35555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.068266136 -0.381617765 +35562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.242818564 -0.381617765 +35563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.667143539 -0.381617765 +35564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.496937312 -0.381617765 +35565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.410476861 -0.381617765 +35566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.64254569 -0.381617765 +35568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.212228158 -0.381617765 +35569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.75279328 -0.381617765 +35567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.662683825 -0.381617765 +35570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.642786576 -0.381617765 +35571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.632032832 -0.381617765 +35572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.096807135 -0.381617765 +35573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.535007771 -0.381617765 +35575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.505760244 -0.381617765 +35574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.61059579 -0.381617765 +35576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.013907682 -0.381617765 +35577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.785429043 -0.381617765 +35578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.122961878 -0.381617765 +35579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.423810381 -0.381617765 +35580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.386053828 -0.381617765 +35581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.023983717 -0.381617765 +35582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.213344939 -0.381617765 +35583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.481237758 -0.381617765 +35584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.031795355 -0.381617765 +35587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.416435385 -0.381617765 +35586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.120040846 -0.381617765 +35585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.322100707 -0.381617765 +35589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.275069978 -0.381617765 +35590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.350333543 -0.381617765 +35591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.02287703 -0.381617765 +35588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.39524239 -0.381617765 +35592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.857520978 -0.381617765 +35593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.323631005 -0.381617765 +35594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.599627765 -0.381617765 +35595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.41230451 -0.381617765 +35596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.751127834 -0.381617765 +35598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.00237457 -0.381617765 +35597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.659999205 -0.381617765 +35599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.679739683 -0.381617765 +35600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.384702333 -0.381617765 +35601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.060381555 -0.381617765 +35602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.692520743 -0.381617765 +35604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.45160507 -0.381617765 +35605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.238808501 -0.381617765 +35606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.28179394 -0.381617765 +35603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.300566719 -0.381617765 +35608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.22025252 -0.381617765 +35607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.284506249 -0.381617765 +35609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.015021092 -0.381617765 +35610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.191179113 -0.381617765 +35611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.262531643 -0.381617765 +35612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.495743728 -0.381617765 +35614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.155490716 -0.381617765 +35615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.642830218 -0.381617765 +35613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.189445815 -0.381617765 +35616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.598238969 -0.381617765 +35617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.218748001 -0.381617765 +35618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.314399228 -0.381617765 +35619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.405193769 -0.381617765 +35620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.056349318 -0.381617765 +35622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.515878789 -0.381617765 +35623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.408930598 -0.381617765 +35624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.69997387 -0.381617765 +35625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.062473792 -0.381617765 +35621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.110691102 -0.381617765 +35626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.665785654 -0.381617765 +35628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.064633359 -0.381617765 +35627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.590295252 -0.381617765 +35629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.311514252 -0.381617765 +35630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.686687971 -0.381617765 +35631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.650568996 -0.381617765 +35634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.465165611 -0.381617765 +35633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.248353569 -0.381617765 +35632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.063165976 -0.381617765 +35635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.09627025 -0.381617765 +35636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.322326875 -0.381617765 +35637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.269202025 -0.381617765 +35638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.190130153 -0.381617765 +35639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.55915748 -0.381617765 +35640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.007849231 -0.381617765 +35642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.006483089 -0.381617765 +35643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.501269228 -0.381617765 +35641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.696634269 -0.381617765 +35644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.646057621 -0.381617765 +35645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.301544038 -0.381617765 +35646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.27888083 -0.381617765 +35647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.095949897 -0.381617765 +35648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.0150598 -0.381617765 +35649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.473838036 -0.381617765 +35652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.541576114 -0.381617765 +35653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.227337964 -0.381617765 +35650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.488976017 -0.381617765 +35655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.652063741 -0.381617765 +35654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.226222043 -0.381617765 +35651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.725433684 -0.381617765 +35656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.707506666 -0.381617765 +35657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.647135667 -0.381617765 +35658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.377655324 -0.381617765 +35659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.334131366 -0.381617765 +35660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.103431118 -0.381617765 +35661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.059942229 -0.381617765 +35662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.144827968 -0.381617765 +35663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.460705075 -0.381617765 +35664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.416107962 -0.381617765 +35665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.193721719 -0.381617765 +35667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.06809109 -0.381617765 +35666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.481408842 -0.381617765 +35668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.565586483 -0.381617765 +35670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.573695869 -0.381617765 +35669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.33995835 -0.381617765 +35672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.321522043 -0.381617765 +35673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.796669523 -0.381617765 +35674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.029142859 -0.381617765 +35675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.030311455 -0.381617765 +35676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.259370064 -0.381617765 +35678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.110698799 -0.381617765 +35677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.591718803 -0.381617765 +35671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.056718872 -0.381617765 +35680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.048539152 -0.381617765 +35679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.237356596 -0.381617765 +35681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.535156858 -0.381617765 +35683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.62150962 -0.381617765 +35682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.713799881 -0.381617765 +35684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.271359448 -0.381617765 +35685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.370633518 -0.381617765 +35686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.322915726 -0.381617765 +35687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.224954889 -0.381617765 +35688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.527911389 -0.381617765 +35691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.026997312 -0.381617765 +35690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.445250591 -0.381617765 +35689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.420186096 -0.381617765 +35692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.333053761 -0.381617765 +35693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.654559974 -0.381617765 +35695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.397388244 -0.381617765 +35696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.049398308 -0.381617765 +35698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.623431465 -0.381617765 +35697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.286968941 -0.381617765 +35699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.485416812 -0.381617765 +35700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.814022702 -0.381617765 +35694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.152832616 -0.381617765 +35701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.758400351 -0.381617765 +35702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.081160588 -0.381617765 +35704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.075839998 -0.381617765 +35707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.023114569 -0.381617765 +35706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.472177591 -0.381617765 +35705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.853684207 -0.381617765 +35708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.163561009 -0.381617765 +35703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.016836536 -0.381617765 +35709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.681134821 -0.381617765 +35710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.057038778 -0.381617765 +35711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.543134081 -0.381617765 +35714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.073536992 -0.381617765 +35713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.073372274 -0.381617765 +35712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.587525053 -0.381617765 +35716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.513035008 -0.381617765 +35717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.051423882 -0.381617765 +35721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.022576147 -0.381617765 +35715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.672156639 -0.381617765 +35719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.38240096 -0.381617765 +35718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.323766435 -0.381617765 +35720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.733448768 -0.381617765 +35722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.533941635 -0.381617765 +35723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.503651709 -0.381617765 +35724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.59493313 -0.381617765 +35727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.679466562 -0.381617765 +35725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.56634665 -0.381617765 +35726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.1824941 -0.381617765 +35728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.169092951 -0.381617765 +35729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.752358351 -0.381617765 +35731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.595146375 -0.381617765 +35732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.313657828 -0.381617765 +35730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.642240512 -0.381617765 +35734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.37222383 -0.381617765 +35735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.065749641 -0.381617765 +35736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.258246967 -0.381617765 +35733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.510785388 -0.381617765 +35737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.089540215 -0.381617765 +35739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.23175774 -0.381617765 +35740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.479560224 -0.381617765 +35738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.418317822 -0.381617765 +35741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.08101746 -0.381617765 +35744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.060539961 -0.381617765 +35745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.044919779 -0.381617765 +35743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.168996801 -0.381617765 +35747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.359421116 -0.381617765 +35746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.376832498 -0.381617765 +35748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.272792441 -0.381617765 +35742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.142304385 -0.381617765 +35749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.614657416 -0.381617765 +35750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.031117124 -0.381617765 +35751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.322063783 -0.381617765 +35752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.386323111 -0.381617765 +35754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.542745029 -0.381617765 +35753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.001545536 -0.381617765 +35755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.231754486 -0.381617765 +35756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.180058757 -0.381617765 +35757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.170935504 -0.381617765 +35758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.184363741 -0.381617765 +35759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.351102328 -0.381617765 +35760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.828797962 -0.381617765 +35762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.017004443 -0.381617765 +35761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.027708404 -0.381617765 +35763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.036716634 -0.381617765 +35765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.700861312 -0.381617765 +35766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.388319407 -0.381617765 +35767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.589063921 -0.381617765 +35768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.30475497 -0.381617765 +35764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.022272593 -0.381617765 +35769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.008321905 -0.381617765 +35770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.795139366 -0.381617765 +35771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.738768234 -0.381617765 +35772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.437837683 -0.381617765 +35774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.379729058 -0.381617765 +35775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.533575552 -0.381617765 +35773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.326705657 -0.381617765 +35776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.793190808 -0.381617765 +35777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.221737803 -0.381617765 +35778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.358935445 -0.381617765 +35779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.630687829 -0.381617765 +35780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.091963634 -0.381617765 +35781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.082804808 -0.381617765 +35783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.201495614 -0.381617765 +35782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.462754042 -0.381617765 +35785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.543353472 -0.381617765 +35786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.142815368 -0.381617765 +35787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.485244781 -0.381617765 +35784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.039021185 -0.381617765 +35788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.320732592 -0.381617765 +35789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.515136737 -0.381617765 +35790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.162019426 -0.381617765 +35791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.033430017 -0.381617765 +35792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.229644592 -0.381617765 +35793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.107752875 -0.381617765 +35794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.460775012 -0.381617765 +35795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.144155773 -0.381617765 +35796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.720036085 -0.381617765 +35797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.013705544 -0.381617765 +35798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.086256683 -0.381617765 +35800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.139692333 -0.381617765 +35799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.535190537 -0.381617765 +35801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.502070825 -0.381617765 +35802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.089706914 -0.381617765 +35803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.445932756 -0.381617765 +35804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.55375273 -0.381617765 +35806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.465280362 -0.381617765 +35805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.539373457 -0.381617765 +35807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.557479278 -0.381617765 +35808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.223131702 -0.381617765 +35811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.392184871 -0.381617765 +35809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.674420894 -0.381617765 +35810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.603675805 -0.381617765 +35813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.197460595 -0.381617765 +35812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.716554535 -0.381617765 +35814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.220520747 -0.381617765 +35815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.49864062 -0.381617765 +35816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.612104575 -0.381617765 +35819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.134947771 -0.381617765 +35817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.342949087 -0.381617765 +35818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.175720081 -0.381617765 +35820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.582639411 -0.381617765 +35822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.714377822 -0.381617765 +35823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.373038409 -0.381617765 +35821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.255470677 -0.381617765 +35824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.436025336 -0.381617765 +35825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.568542752 -0.381617765 +35826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.011702513 -0.381617765 +35827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.561717938 -0.381617765 +35828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.450020275 -0.381617765 +35829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.123908818 -0.381617765 +35830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.539589952 -0.381617765 +35832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.337758392 -0.381617765 +35833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.759947867 -0.381617765 +35834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.093010433 -0.381617765 +35831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.129965363 -0.381617765 +35835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.088892786 -0.381617765 +35836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.445837218 -0.381617765 +35837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.53419535 -0.381617765 +35838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.403253767 -0.381617765 +35839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.319422078 -0.381617765 +35840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.676585869 -0.381617765 +35841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.122444011 -0.381617765 +35843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.193792934 -0.381617765 +35842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.731322348 -0.381617765 +35844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.048554241 -0.381617765 +35845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.504119544 -0.381617765 +35846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.192469184 -0.381617765 +35847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.702467055 -0.381617765 +35848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.590908817 -0.381617765 +35849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.350714688 -0.381617765 +35850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.053766934 -0.381617765 +35851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.525820605 -0.381617765 +35852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.674466015 -0.381617765 +35853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.499121235 -0.381617765 +35855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.19193393 -0.381617765 +35854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.129984377 -0.381617765 +35856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.365512993 -0.381617765 +35857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.745314592 -0.381617765 +35858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.367449945 -0.381617765 +35860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.242855105 -0.381617765 +35861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.613028265 -0.381617765 +35864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.189613336 -0.381617765 +35863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.478562287 -0.381617765 +35862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.642077006 -0.381617765 +35859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.049209259 -0.381617765 +35865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.081139671 -0.381617765 +35866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.344441403 -0.381617765 +35867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.784698295 -0.381617765 +35868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.356302366 -0.381617765 +35870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.134791439 -0.381617765 +35869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.490412325 -0.381617765 +35873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.179054488 -0.381617765 +35871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.54897058 -0.381617765 +35874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.353060874 -0.381617765 +35872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.330301032 -0.381617765 +35875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.296546314 -0.381617765 +35876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.283194601 -0.381617765 +35878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.119697359 -0.381617765 +35880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.195170024 -0.381617765 +35879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.305640982 -0.381617765 +35877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.081258677 -0.381617765 +35881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.58585358 -0.381617765 +35882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.120062721 -0.381617765 +35883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.681010689 -0.381617765 +35885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.570518815 -0.381617765 +35884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.014461714 -0.381617765 +35887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.700932696 -0.381617765 +35888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.48177298 -0.381617765 +35886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.103368463 -0.381617765 +35889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.169390639 -0.381617765 +35891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.830290745 -0.381617765 +35890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.596939365 -0.381617765 +35892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.337911276 -0.381617765 +35894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.106734673 -0.381617765 +35893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.551608836 -0.381617765 +35896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.713273868 -0.381617765 +35895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.484013743 -0.381617765 +35897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.001525905 -0.381617765 +35898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.794733323 -0.381617765 +35900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.064638222 -0.381617765 +35899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.046940161 -0.381617765 +35901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.40978598 -0.381617765 +35902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.147017068 -0.381617765 +35903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.04109322 -0.381617765 +35904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.574374895 -0.381617765 +35905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.256987627 -0.381617765 +35906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.066728093 -0.381617765 +35907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.069767496 -0.381617765 +35909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.200141497 -0.381617765 +35908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.174707593 -0.381617765 +35910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.236099819 -0.381617765 +35911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.788796625 -0.381617765 +35912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.105791702 -0.381617765 +35913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.46134705 -0.381617765 +35914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.302881982 -0.381617765 +35915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.581843508 -0.381617765 +35916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.073993746 -0.381617765 +35918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.553875753 -0.381617765 +35919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.580332255 -0.381617765 +35920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.1906141 -0.381617765 +35917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.147854893 -0.381617765 +35922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.473862582 -0.381617765 +35921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.882490149 -0.381617765 +35923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.077723327 -0.381617765 +35924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.306996958 -0.381617765 +35925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.421476294 -0.381617765 +35926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.78549138 -0.381617765 +35927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.658948165 -0.381617765 +35928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.148962713 -0.381617765 +35929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.131387126 -0.381617765 +35930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.558602814 -0.381617765 +35931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.035866125 -0.381617765 +35932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.68015053 -0.381617765 +35933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.760492175 -0.381617765 +35934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.128726376 -0.381617765 +35935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.794319866 -0.381617765 +35938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.844997382 -0.381617765 +35937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.54622692 -0.381617765 +35939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.373188035 -0.381617765 +35936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.132148806 -0.381617765 +35940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.148171219 -0.381617765 +35941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.779746305 -0.381617765 +35942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.360488006 -0.381617765 +35943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.176195051 -0.381617765 +35944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.092947711 -0.381617765 +35945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.472280703 -0.381617765 +35946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.294383017 -0.381617765 +35948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.109650522 -0.381617765 +35947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.019433998 -0.381617765 +35949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.453153172 -0.381617765 +35950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.734334618 -0.381617765 +35951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.800757817 -0.381617765 +35954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.604755208 -0.381617765 +35953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.154294908 -0.381617765 +35952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.575559206 -0.381617765 +35955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.494556427 -0.381617765 +35958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.534666097 -0.381617765 +35957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.68731876 -0.381617765 +35956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.11033352 -0.381617765 +35960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.113490134 -0.381617765 +35961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.685138075 -0.381617765 +35959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.784284103 -0.381617765 +35963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.673997088 -0.381617765 +35965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.611465799 -0.381617765 +35962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.22796823 -0.381617765 +35964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.412427363 -0.381617765 +35966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.275493596 -0.381617765 +35967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.024455552 -0.381617765 +35968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 2.53E-04 -0.381617765 +35970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.582266037 -0.381617765 +35969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.791898918 -0.381617765 +35971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.729993276 -0.381617765 +35972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.410476757 -0.381617765 +35973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.0973483 -0.381617765 +35974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.406251839 -0.381617765 +35975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.186946666 -0.381617765 +35976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.462475853 -0.381617765 +35977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.258532232 -0.381617765 +35980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.388490242 -0.381617765 +35979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.46460557 -0.381617765 +35978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.230454016 -0.381617765 +35981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.217120507 -0.381617765 +35983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.257920811 -0.381617765 +35984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.474506091 -0.381617765 +35982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.156298458 -0.381617765 +35985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.45723426 -0.381617765 +35986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.270942036 -0.381617765 +35987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.323844736 -0.381617765 +35988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.381016373 -0.381617765 +35989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.434699057 -0.381617765 +35990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.048351369 -0.381617765 +35991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.043217589 -0.381617765 +35993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.617857013 -0.381617765 +35995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.219807923 -0.381617765 +35992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.285800108 -0.381617765 +35994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.257324229 -0.381617765 +35996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.106876349 -0.381617765 +35997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.747022429 -0.381617765 +35998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.802230912 -0.381617765 +35999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 0.046603368 -0.381617765 +36000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.75 10 1 -0.049925032 -0.381617765 +36001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.42754429 -0.363250125 +36002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.159354788 -0.363250125 +36003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.407948016 -0.363250125 +36004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.128502129 -0.363250125 +36005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.013741563 -0.363250125 +36006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.203354495 -0.363250125 +36007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.559111433 -0.363250125 +36008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.200071396 -0.363250125 +36011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.542778381 -0.363250125 +36009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.691972252 -0.363250125 +36012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.731751898 -0.363250125 +36010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.104772307 -0.363250125 +36014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.685876114 -0.363250125 +36013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.011586156 -0.363250125 +36015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.302552961 -0.363250125 +36016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.526089027 -0.363250125 +36017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.391418126 -0.363250125 +36018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.410466742 -0.363250125 +36019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.245480773 -0.363250125 +36020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.797114736 -0.363250125 +36021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.533266175 -0.363250125 +36023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.626453075 -0.363250125 +36022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.694471408 -0.363250125 +36024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.146416581 -0.363250125 +36025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.115808824 -0.363250125 +36026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.00942447 -0.363250125 +36027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.262649773 -0.363250125 +36028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.417935265 -0.363250125 +36029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.227882336 -0.363250125 +36031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.098192116 -0.363250125 +36030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.60988876 -0.363250125 +36032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.162638635 -0.363250125 +36033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.104927242 -0.363250125 +36035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.217822964 -0.363250125 +36034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.604625058 -0.363250125 +36036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.610817643 -0.363250125 +36038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.03345112 -0.363250125 +36037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.440615143 -0.363250125 +36039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.72690592 -0.363250125 +36040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.273945777 -0.363250125 +36041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.55309278 -0.363250125 +36042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.327619071 -0.363250125 +36043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.823901622 -0.363250125 +36045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.220971714 -0.363250125 +36046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.219395101 -0.363250125 +36047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.501345308 -0.363250125 +36048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.150093118 -0.363250125 +36049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.05437367 -0.363250125 +36044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.407694499 -0.363250125 +36050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.660812629 -0.363250125 +36051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.554031994 -0.363250125 +36052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.323412595 -0.363250125 +36053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.050860824 -0.363250125 +36054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.366287954 -0.363250125 +36055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.202509574 -0.363250125 +36056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.316769195 -0.363250125 +36057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.188236257 -0.363250125 +36059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.320019105 -0.363250125 +36058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.720711831 -0.363250125 +36060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.321817924 -0.363250125 +36062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.766287255 -0.363250125 +36061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.550784588 -0.363250125 +36063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.315169195 -0.363250125 +36065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.075567065 -0.363250125 +36064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.102966939 -0.363250125 +36067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.917347057 -0.363250125 +36068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.875565792 -0.363250125 +36066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.465471376 -0.363250125 +36069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.630264888 -0.363250125 +36071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.513571865 -0.363250125 +36070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.419214466 -0.363250125 +36073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.025453141 -0.363250125 +36074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.043433565 -0.363250125 +36072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.527894243 -0.363250125 +36075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.285586188 -0.363250125 +36077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.321307177 -0.363250125 +36076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.308461062 -0.363250125 +36078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.357978382 -0.363250125 +36079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.278242147 -0.363250125 +36080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.213514212 -0.363250125 +36083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.419176577 -0.363250125 +36082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.671408483 -0.363250125 +36081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.825920915 -0.363250125 +36086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.643559139 -0.363250125 +36085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.342411535 -0.363250125 +36084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.851954149 -0.363250125 +36087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.370160375 -0.363250125 +36089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.333031047 -0.363250125 +36091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.21242215 -0.363250125 +36088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.178316481 -0.363250125 +36093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.121718446 -0.363250125 +36092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.471887429 -0.363250125 +36094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.800118014 -0.363250125 +36095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.242118991 -0.363250125 +36090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.113631965 -0.363250125 +36096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.144774103 -0.363250125 +36098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.029022897 -0.363250125 +36099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.361006013 -0.363250125 +36100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.165151248 -0.363250125 +36102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.400206242 -0.363250125 +36097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.607998051 -0.363250125 +36101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.47325213 -0.363250125 +36103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.069764101 -0.363250125 +36104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.005433598 -0.363250125 +36106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.187443889 -0.363250125 +36105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.355149243 -0.363250125 +36107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.646325448 -0.363250125 +36109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.161983533 -0.363250125 +36108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.555615467 -0.363250125 +36110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.162845326 -0.363250125 +36111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.180420679 -0.363250125 +36113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.012949688 -0.363250125 +36112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.621723547 -0.363250125 +36114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.734595159 -0.363250125 +36115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.264226968 -0.363250125 +36117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.448220958 -0.363250125 +36116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.368988982 -0.363250125 +36118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.710628859 -0.363250125 +36121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.719020937 -0.363250125 +36120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.487228104 -0.363250125 +36122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.020761867 -0.363250125 +36123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.40972971 -0.363250125 +36119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.162155198 -0.363250125 +36124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.242349562 -0.363250125 +36125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.242387148 -0.363250125 +36126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.022759651 -0.363250125 +36127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.473684549 -0.363250125 +36128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.806011026 -0.363250125 +36131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.563202064 -0.363250125 +36132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.54057481 -0.363250125 +36130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.007267434 -0.363250125 +36133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.555464037 -0.363250125 +36134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.464612919 -0.363250125 +36129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.634952033 -0.363250125 +36136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.658199409 -0.363250125 +36135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.430632344 -0.363250125 +36139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.56964762 -0.363250125 +36138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.047998069 -0.363250125 +36140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.142065373 -0.363250125 +36142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.380336199 -0.363250125 +36137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.090400279 -0.363250125 +36141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.243572501 -0.363250125 +36144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.208957099 -0.363250125 +36143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.545591141 -0.363250125 +36147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.013122545 -0.363250125 +36148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.141135004 -0.363250125 +36145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.665513013 -0.363250125 +36146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.380594983 -0.363250125 +36150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.078207943 -0.363250125 +36149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.180245805 -0.363250125 +36151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.51982618 -0.363250125 +36152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.248335154 -0.363250125 +36154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.0334335 -0.363250125 +36153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.714100926 -0.363250125 +36155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.538400927 -0.363250125 +36156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.443057922 -0.363250125 +36157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.13585071 -0.363250125 +36158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.439773849 -0.363250125 +36159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.1457403 -0.363250125 +36162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.004599831 -0.363250125 +36163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.215201212 -0.363250125 +36164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.156516609 -0.363250125 +36160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.241115051 -0.363250125 +36161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.141535595 -0.363250125 +36165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.56706902 -0.363250125 +36166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.673672604 -0.363250125 +36167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.241010898 -0.363250125 +36168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.697427636 -0.363250125 +36169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.272801337 -0.363250125 +36171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.306824989 -0.363250125 +36170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.460300121 -0.363250125 +36172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.652154407 -0.363250125 +36173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.547712067 -0.363250125 +36175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.391688894 -0.363250125 +36174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.107549984 -0.363250125 +36176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.571925242 -0.363250125 +36177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.15761347 -0.363250125 +36178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.460121526 -0.363250125 +36179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.235335051 -0.363250125 +36181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.132750477 -0.363250125 +36180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.596156023 -0.363250125 +36182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.316023726 -0.363250125 +36183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 7.97E-04 -0.363250125 +36187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.003326924 -0.363250125 +36185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.621541639 -0.363250125 +36186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.598904692 -0.363250125 +36184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.344289134 -0.363250125 +36188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.589229718 -0.363250125 +36189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.101497682 -0.363250125 +36190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.579486587 -0.363250125 +36191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.325129255 -0.363250125 +36192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.076488687 -0.363250125 +36194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.07232255 -0.363250125 +36193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.554595659 -0.363250125 +36195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.157253053 -0.363250125 +36196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.001836211 -0.363250125 +36198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.759618584 -0.363250125 +36197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.213155185 -0.363250125 +36199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.606925768 -0.363250125 +36202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.346921888 -0.363250125 +36201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.279853115 -0.363250125 +36200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.070492803 -0.363250125 +36204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.124472815 -0.363250125 +36206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.237674522 -0.363250125 +36205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.0328044 -0.363250125 +36203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.573275141 -0.363250125 +36207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.39042924 -0.363250125 +36209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.613462635 -0.363250125 +36208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.401151393 -0.363250125 +36210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.094581168 -0.363250125 +36211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.055012809 -0.363250125 +36212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.15122247 -0.363250125 +36213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.575077332 -0.363250125 +36215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.587384995 -0.363250125 +36216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.358383336 -0.363250125 +36217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.004021834 -0.363250125 +36218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.270740905 -0.363250125 +36214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.46318474 -0.363250125 +36219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.054576899 -0.363250125 +36221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.061469965 -0.363250125 +36222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.565549447 -0.363250125 +36224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.245794137 -0.363250125 +36223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.567388372 -0.363250125 +36225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.052037577 -0.363250125 +36220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.28054804 -0.363250125 +36226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.40537423 -0.363250125 +36228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.107531901 -0.363250125 +36229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.492997477 -0.363250125 +36227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.825070942 -0.363250125 +36231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.013079155 -0.363250125 +36230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.095737894 -0.363250125 +36232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.443570845 -0.363250125 +36233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.600557781 -0.363250125 +36235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.524308878 -0.363250125 +36236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.227950958 -0.363250125 +36238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.850554376 -0.363250125 +36234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.281854922 -0.363250125 +36237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.707287388 -0.363250125 +36239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.598146482 -0.363250125 +36240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.305143043 -0.363250125 +36241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.782522391 -0.363250125 +36244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.46780229 -0.363250125 +36243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.422860732 -0.363250125 +36246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.700577795 -0.363250125 +36242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.638328571 -0.363250125 +36247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.352955056 -0.363250125 +36248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.617638898 -0.363250125 +36245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.126926468 -0.363250125 +36249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.695431745 -0.363250125 +36250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.790708421 -0.363250125 +36252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.135175868 -0.363250125 +36251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.382820652 -0.363250125 +36254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.642629419 -0.363250125 +36253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.051179178 -0.363250125 +36256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.578046614 -0.363250125 +36255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.242718197 -0.363250125 +36257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.041768616 -0.363250125 +36259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.156917927 -0.363250125 +36261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.090925442 -0.363250125 +36258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.274635864 -0.363250125 +36260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.43086543 -0.363250125 +36263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.189387298 -0.363250125 +36262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.275207892 -0.363250125 +36264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.177771566 -0.363250125 +36265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.310455683 -0.363250125 +36266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.045604608 -0.363250125 +36267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.059365725 -0.363250125 +36268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.079473578 -0.363250125 +36269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.316614778 -0.363250125 +36270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.266867473 -0.363250125 +36271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.150158802 -0.363250125 +36273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.636462437 -0.363250125 +36274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.069297638 -0.363250125 +36272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.473136693 -0.363250125 +36276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.454396973 -0.363250125 +36275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.482549912 -0.363250125 +36277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.573566618 -0.363250125 +36278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.619693377 -0.363250125 +36279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.100589489 -0.363250125 +36280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.738113852 -0.363250125 +36282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.437270522 -0.363250125 +36281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.276326261 -0.363250125 +36283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.467334671 -0.363250125 +36285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.419070893 -0.363250125 +36286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.704112357 -0.363250125 +36287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.245728867 -0.363250125 +36284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.169739285 -0.363250125 +36288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.513890485 -0.363250125 +36290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.008865791 -0.363250125 +36289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.050217758 -0.363250125 +36291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.512637092 -0.363250125 +36292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.482790061 -0.363250125 +36294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.723518325 -0.363250125 +36295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.786893076 -0.363250125 +36293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.088910072 -0.363250125 +36296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.415790796 -0.363250125 +36297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.410861722 -0.363250125 +36299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.645840703 -0.363250125 +36301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.652589371 -0.363250125 +36300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.74344421 -0.363250125 +36303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.689275625 -0.363250125 +36304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.188277669 -0.363250125 +36298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.226657952 -0.363250125 +36305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.550212098 -0.363250125 +36306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.515450492 -0.363250125 +36307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.623113152 -0.363250125 +36302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.661687648 -0.363250125 +36308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.754392609 -0.363250125 +36309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.144202449 -0.363250125 +36310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.756434286 -0.363250125 +36312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.424499597 -0.363250125 +36311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.447783449 -0.363250125 +36315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.504694076 -0.363250125 +36314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.661891696 -0.363250125 +36313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.690503599 -0.363250125 +36316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.537257289 -0.363250125 +36317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.035956269 -0.363250125 +36318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.686872981 -0.363250125 +36319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.03797567 -0.363250125 +36320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.790128093 -0.363250125 +36322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.393869561 -0.363250125 +36323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.694272201 -0.363250125 +36324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.129287129 -0.363250125 +36321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.784816937 -0.363250125 +36325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.800826091 -0.363250125 +36326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.558168802 -0.363250125 +36327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.104721239 -0.363250125 +36330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.042901089 -0.363250125 +36329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.060663556 -0.363250125 +36331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.58819618 -0.363250125 +36328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.595618493 -0.363250125 +36332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.115027216 -0.363250125 +36333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.299947174 -0.363250125 +36335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.18934476 -0.363250125 +36334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.007630653 -0.363250125 +36337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.385083264 -0.363250125 +36338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.557480839 -0.363250125 +36339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.749301209 -0.363250125 +36336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.289874041 -0.363250125 +36340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.631788076 -0.363250125 +36341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.66307977 -0.363250125 +36342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.094691065 -0.363250125 +36343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.287652313 -0.363250125 +36344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.290622348 -0.363250125 +36345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.005789785 -0.363250125 +36346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.692888003 -0.363250125 +36347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.234681649 -0.363250125 +36348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.520094716 -0.363250125 +36349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.576477286 -0.363250125 +36350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.10106267 -0.363250125 +36351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.876379117 -0.363250125 +36352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.45456573 -0.363250125 +36353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.229108951 -0.363250125 +36354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.04156519 -0.363250125 +36355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.789880962 -0.363250125 +36357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.399549041 -0.363250125 +36358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.514947932 -0.363250125 +36356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.073380835 -0.363250125 +36359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.31778756 -0.363250125 +36360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.347146491 -0.363250125 +36361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.073239115 -0.363250125 +36363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.083226731 -0.363250125 +36364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.619832148 -0.363250125 +36362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.497236634 -0.363250125 +36365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.42687066 -0.363250125 +36368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.372385162 -0.363250125 +36367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.458562828 -0.363250125 +36366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.248068737 -0.363250125 +36369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.05498232 -0.363250125 +36370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.090919466 -0.363250125 +36372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.192119969 -0.363250125 +36373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.152244055 -0.363250125 +36371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.692407346 -0.363250125 +36374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.271233875 -0.363250125 +36376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.361407508 -0.363250125 +36375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.031921661 -0.363250125 +36377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.744539377 -0.363250125 +36378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.351941213 -0.363250125 +36379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.502752085 -0.363250125 +36381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.08829256 -0.363250125 +36380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.633284062 -0.363250125 +36382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.321583054 -0.363250125 +36383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.108059023 -0.363250125 +36384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.595797794 -0.363250125 +36385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.27111872 -0.363250125 +36386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.650912355 -0.363250125 +36389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.050534382 -0.363250125 +36388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.389122928 -0.363250125 +36390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.064684538 -0.363250125 +36391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.553608652 -0.363250125 +36387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.065058618 -0.363250125 +36392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.42360771 -0.363250125 +36394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.240750446 -0.363250125 +36393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.656620516 -0.363250125 +36396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.609808939 -0.363250125 +36395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.578784099 -0.363250125 +36398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.713622176 -0.363250125 +36397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.211371729 -0.363250125 +36399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.564343171 -0.363250125 +36401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.025441698 -0.363250125 +36400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.026543827 -0.363250125 +36402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.396968671 -0.363250125 +36403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.680047089 -0.363250125 +36404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.758795764 -0.363250125 +36405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.510638093 -0.363250125 +36406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.368939653 -0.363250125 +36408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.468563593 -0.363250125 +36407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.029167993 -0.363250125 +36409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.641307104 -0.363250125 +36410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.682221987 -0.363250125 +36411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.634867206 -0.363250125 +36414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.789852978 -0.363250125 +36412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.229540949 -0.363250125 +36413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.605173367 -0.363250125 +36415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.237835248 -0.363250125 +36416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.06149006 -0.363250125 +36418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.066958509 -0.363250125 +36419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.164423203 -0.363250125 +36420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.568392335 -0.363250125 +36422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.168599777 -0.363250125 +36421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.023099154 -0.363250125 +36417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.797024757 -0.363250125 +36423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.273486848 -0.363250125 +36424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.207328482 -0.363250125 +36425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.590429142 -0.363250125 +36427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.22875967 -0.363250125 +36429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.306574628 -0.363250125 +36426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.276109669 -0.363250125 +36428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.007368083 -0.363250125 +36431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.477962446 -0.363250125 +36432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.149171315 -0.363250125 +36430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.845119706 -0.363250125 +36434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.052029994 -0.363250125 +36436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.764865964 -0.363250125 +36437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.295121157 -0.363250125 +36435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.092544494 -0.363250125 +36433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.667788869 -0.363250125 +36438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.179385133 -0.363250125 +36439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.011642615 -0.363250125 +36440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.216041384 -0.363250125 +36441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.738431009 -0.363250125 +36442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.05921251 -0.363250125 +36443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.137775643 -0.363250125 +36444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.303005492 -0.363250125 +36445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.38023487 -0.363250125 +36446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.051844502 -0.363250125 +36447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.526535096 -0.363250125 +36449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.778854315 -0.363250125 +36452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.636409845 -0.363250125 +36451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.238775975 -0.363250125 +36448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.275212494 -0.363250125 +36450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.238350082 -0.363250125 +36454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.536435047 -0.363250125 +36455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.142634489 -0.363250125 +36456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.464342137 -0.363250125 +36453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.180396465 -0.363250125 +36457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.751748413 -0.363250125 +36458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.196508936 -0.363250125 +36460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.183352683 -0.363250125 +36459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.035081281 -0.363250125 +36461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.465359939 -0.363250125 +36462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.217989107 -0.363250125 +36463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.137996206 -0.363250125 +36464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.333254951 -0.363250125 +36465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.441554811 -0.363250125 +36466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.61824642 -0.363250125 +36467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.712654827 -0.363250125 +36470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.003746347 -0.363250125 +36472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.601305264 -0.363250125 +36471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.670557163 -0.363250125 +36468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.283101416 -0.363250125 +36469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.005843721 -0.363250125 +36473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.088374264 -0.363250125 +36474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.664982112 -0.363250125 +36475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.498850889 -0.363250125 +36476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.0154467 -0.363250125 +36478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.322478849 -0.363250125 +36480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.143047043 -0.363250125 +36481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.384230153 -0.363250125 +36479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.507848263 -0.363250125 +36482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.393829933 -0.363250125 +36483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.351814905 -0.363250125 +36477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.432564665 -0.363250125 +36485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.591909321 -0.363250125 +36486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.103995801 -0.363250125 +36484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.191772563 -0.363250125 +36487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.828757395 -0.363250125 +36488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.209542483 -0.363250125 +36489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.129343991 -0.363250125 +36490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.648644321 -0.363250125 +36491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.39317788 -0.363250125 +36492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.272705643 -0.363250125 +36493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.359702654 -0.363250125 +36494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.672590675 -0.363250125 +36495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.106872024 -0.363250125 +36497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.584382797 -0.363250125 +36496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.321920456 -0.363250125 +36498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.02500255 -0.363250125 +36501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.22212398 -0.363250125 +36502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.684369323 -0.363250125 +36499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.85759051 -0.363250125 +36503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.06919209 -0.363250125 +36500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.018625097 -0.363250125 +36504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.202777063 -0.363250125 +36506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.205492079 -0.363250125 +36505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.732296349 -0.363250125 +36509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.586658096 -0.363250125 +36508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.58729425 -0.363250125 +36510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.759485911 -0.363250125 +36511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.508173592 -0.363250125 +36507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.319096042 -0.363250125 +36512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.346070694 -0.363250125 +36513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.015576878 -0.363250125 +36514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.50757389 -0.363250125 +36517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.012575069 -0.363250125 +36515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.395459404 -0.363250125 +36516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.644628534 -0.363250125 +36518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.150684457 -0.363250125 +36520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.5656976 -0.363250125 +36519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.02838878 -0.363250125 +36521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.468084562 -0.363250125 +36523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.257838971 -0.363250125 +36525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.70599234 -0.363250125 +36522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.472372566 -0.363250125 +36524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.245470903 -0.363250125 +36526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.426609583 -0.363250125 +36527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.667773147 -0.363250125 +36528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.73066989 -0.363250125 +36529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.029461454 -0.363250125 +36530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.660806548 -0.363250125 +36531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.367767147 -0.363250125 +36532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.198535127 -0.363250125 +36533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.532059793 -0.363250125 +36534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.111962525 -0.363250125 +36535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.024648821 -0.363250125 +36536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.225897878 -0.363250125 +36537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.267228597 -0.363250125 +36538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.712007937 -0.363250125 +36539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.01147053 -0.363250125 +36541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.110919498 -0.363250125 +36540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.093354967 -0.363250125 +36542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.09255262 -0.363250125 +36543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.47093769 -0.363250125 +36544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.033383938 -0.363250125 +36545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.38088165 -0.363250125 +36546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.398530957 -0.363250125 +36547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.409710847 -0.363250125 +36550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.722725564 -0.363250125 +36551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.67615132 -0.363250125 +36548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.198077656 -0.363250125 +36549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.281465056 -0.363250125 +36552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.643570796 -0.363250125 +36553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.0338125 -0.363250125 +36554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.531135659 -0.363250125 +36555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.214915801 -0.363250125 +36556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.277193345 -0.363250125 +36558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.011058161 -0.363250125 +36557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.710811947 -0.363250125 +36560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.577290198 -0.363250125 +36561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.686006188 -0.363250125 +36559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.834507415 -0.363250125 +36562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.644594171 -0.363250125 +36563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.363740229 -0.363250125 +36564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.673613507 -0.363250125 +36565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.259359137 -0.363250125 +36566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.466892972 -0.363250125 +36567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.516832613 -0.363250125 +36568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.69515637 -0.363250125 +36570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.073425214 -0.363250125 +36569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.15415586 -0.363250125 +36571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.397190139 -0.363250125 +36574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.048974987 -0.363250125 +36573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.293490803 -0.363250125 +36572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.305321872 -0.363250125 +36575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.675689554 -0.363250125 +36576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.211255156 -0.363250125 +36577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.79963272 -0.363250125 +36578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.003111022 -0.363250125 +36580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.370020482 -0.363250125 +36582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.215192498 -0.363250125 +36579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.017321341 -0.363250125 +36583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.35610507 -0.363250125 +36581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.812791541 -0.363250125 +36584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.6034907 -0.363250125 +36585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.006338633 -0.363250125 +36587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.083021852 -0.363250125 +36586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.732512182 -0.363250125 +36590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.397240832 -0.363250125 +36589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.675984712 -0.363250125 +36591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.259288424 -0.363250125 +36592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.775765249 -0.363250125 +36588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.700788816 -0.363250125 +36593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.586304661 -0.363250125 +36594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.226050323 -0.363250125 +36596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.308979386 -0.363250125 +36595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.009312584 -0.363250125 +36597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.069993544 -0.363250125 +36599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.576633168 -0.363250125 +36600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.345256083 -0.363250125 +36598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.016412158 -0.363250125 +36601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.263823164 -0.363250125 +36602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.315083325 -0.363250125 +36603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.274244495 -0.363250125 +36605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.189307085 -0.363250125 +36606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.337549541 -0.363250125 +36608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.027000667 -0.363250125 +36607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.614047629 -0.363250125 +36604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.379606518 -0.363250125 +36609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.759808534 -0.363250125 +36610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.692763443 -0.363250125 +36611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.03578678 -0.363250125 +36613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.584641892 -0.363250125 +36614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.661128996 -0.363250125 +36612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.003363852 -0.363250125 +36615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.571860716 -0.363250125 +36616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.087434862 -0.363250125 +36617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.691797727 -0.363250125 +36618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.306153577 -0.363250125 +36619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.235727162 -0.363250125 +36622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.534046238 -0.363250125 +36620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.475938855 -0.363250125 +36623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.322555813 -0.363250125 +36624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.354490236 -0.363250125 +36625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.401914653 -0.363250125 +36621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.073495201 -0.363250125 +36626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.592315303 -0.363250125 +36627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.420088675 -0.363250125 +36628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.678916591 -0.363250125 +36630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.5672023 -0.363250125 +36629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.020210379 -0.363250125 +36631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.372491334 -0.363250125 +36633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.506720165 -0.363250125 +36634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.589290325 -0.363250125 +36636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.086679002 -0.363250125 +36635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.02616336 -0.363250125 +36632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.625765556 -0.363250125 +36637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.491648634 -0.363250125 +36639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.444389252 -0.363250125 +36638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.554390942 -0.363250125 +36640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.247805763 -0.363250125 +36641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.375755347 -0.363250125 +36642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.432074191 -0.363250125 +36644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.159501128 -0.363250125 +36645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.027906629 -0.363250125 +36643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.653304978 -0.363250125 +36646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.081392021 -0.363250125 +36647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.487260188 -0.363250125 +36649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.73645056 -0.363250125 +36648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.552724368 -0.363250125 +36650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.041285251 -0.363250125 +36652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.25803332 -0.363250125 +36651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -1.01E-04 -0.363250125 +36654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.395595973 -0.363250125 +36653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.792606677 -0.363250125 +36655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.457869887 -0.363250125 +36656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.296598403 -0.363250125 +36657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.663524946 -0.363250125 +36658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.735573409 -0.363250125 +36661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.726808807 -0.363250125 +36660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.573078813 -0.363250125 +36659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.120293122 -0.363250125 +36663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.284946424 -0.363250125 +36662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.643704215 -0.363250125 +36664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.358560114 -0.363250125 +36666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.508271273 -0.363250125 +36665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.329732929 -0.363250125 +36667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.764776138 -0.363250125 +36668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.471838272 -0.363250125 +36669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.111946619 -0.363250125 +36671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.021983289 -0.363250125 +36672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.055755817 -0.363250125 +36670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.341337161 -0.363250125 +36674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.736463523 -0.363250125 +36673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.021673435 -0.363250125 +36675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.505641156 -0.363250125 +36677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.216831549 -0.363250125 +36678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.358893812 -0.363250125 +36679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.390424126 -0.363250125 +36676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.842952194 -0.363250125 +36680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.175854394 -0.363250125 +36681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.647285445 -0.363250125 +36682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.357588386 -0.363250125 +36683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.420537546 -0.363250125 +36684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.379594391 -0.363250125 +36685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.164796316 -0.363250125 +36686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.081654802 -0.363250125 +36688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.601944763 -0.363250125 +36690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.099912239 -0.363250125 +36687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.642154787 -0.363250125 +36691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.805481429 -0.363250125 +36689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.542051835 -0.363250125 +36692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.306078339 -0.363250125 +36694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.545758235 -0.363250125 +36695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.375676284 -0.363250125 +36693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.562486008 -0.363250125 +36696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.465038834 -0.363250125 +36698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.022554477 -0.363250125 +36700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.598810849 -0.363250125 +36699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.113488072 -0.363250125 +36701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.417214525 -0.363250125 +36697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.663365466 -0.363250125 +36702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.654181233 -0.363250125 +36703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.460087699 -0.363250125 +36704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.404773153 -0.363250125 +36705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.640810326 -0.363250125 +36706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.095047398 -0.363250125 +36708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.540335288 -0.363250125 +36707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.138434518 -0.363250125 +36710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.412513188 -0.363250125 +36711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.513888846 -0.363250125 +36712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.533337676 -0.363250125 +36709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.078325204 -0.363250125 +36713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.027558876 -0.363250125 +36714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.003943156 -0.363250125 +36716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.194581069 -0.363250125 +36715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.491563898 -0.363250125 +36717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 8.45E-04 -0.363250125 +36719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.084144723 -0.363250125 +36718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.349168187 -0.363250125 +36721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.156795541 -0.363250125 +36720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.55311935 -0.363250125 +36722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.014903328 -0.363250125 +36725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.632211488 -0.363250125 +36724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.64758953 -0.363250125 +36723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.486423778 -0.363250125 +36727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.570521784 -0.363250125 +36728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.229261303 -0.363250125 +36726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.046958893 -0.363250125 +36730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.568769932 -0.363250125 +36729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.062031534 -0.363250125 +36732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.101672837 -0.363250125 +36733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.750181593 -0.363250125 +36731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.401835204 -0.363250125 +36736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.405422244 -0.363250125 +36735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.268205842 -0.363250125 +36734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.012229962 -0.363250125 +36737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.181499339 -0.363250125 +36739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.001188989 -0.363250125 +36740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.33378568 -0.363250125 +36741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.270793926 -0.363250125 +36743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.706503974 -0.363250125 +36744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.74752614 -0.363250125 +36742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.012370886 -0.363250125 +36738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.217255089 -0.363250125 +36746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.672451759 -0.363250125 +36745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.44555512 -0.363250125 +36748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.094754566 -0.363250125 +36747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.537303643 -0.363250125 +36750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.018900249 -0.363250125 +36751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.013023492 -0.363250125 +36749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.742350405 -0.363250125 +36752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.60643914 -0.363250125 +36753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.2899232 -0.363250125 +36754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.517010533 -0.363250125 +36756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.072426909 -0.363250125 +36755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.63526488 -0.363250125 +36758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.127358982 -0.363250125 +36759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.535113769 -0.363250125 +36757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.156133512 -0.363250125 +36760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.604537075 -0.363250125 +36761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.023008303 -0.363250125 +36762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.020603569 -0.363250125 +36764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.494950868 -0.363250125 +36766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.086288175 -0.363250125 +36765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.180529186 -0.363250125 +36767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.728983562 -0.363250125 +36763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.564794175 -0.363250125 +36768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.06873112 -0.363250125 +36769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.056081419 -0.363250125 +36770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.051582892 -0.363250125 +36771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.241812261 -0.363250125 +36773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.174444957 -0.363250125 +36772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.054151448 -0.363250125 +36774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.206666109 -0.363250125 +36775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.544727133 -0.363250125 +36777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.038979323 -0.363250125 +36776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.238820983 -0.363250125 +36778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.435284131 -0.363250125 +36780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.572295614 -0.363250125 +36779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.008082383 -0.363250125 +36781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.457664995 -0.363250125 +36782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.579333516 -0.363250125 +36783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.570501228 -0.363250125 +36784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.215429357 -0.363250125 +36786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.29369227 -0.363250125 +36787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.310106728 -0.363250125 +36785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.19051664 -0.363250125 +36789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.628833989 -0.363250125 +36790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.657453079 -0.363250125 +36788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.129533164 -0.363250125 +36791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.676759337 -0.363250125 +36792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.380395153 -0.363250125 +36793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.041056387 -0.363250125 +36794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.230640245 -0.363250125 +36796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.666580435 -0.363250125 +36795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.069187117 -0.363250125 +36797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.547148318 -0.363250125 +36798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.247577462 -0.363250125 +36799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.504882967 -0.363250125 +36800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.46332002 -0.363250125 +36801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.133403781 -0.363250125 +36802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.538802289 -0.363250125 +36803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.335636187 -0.363250125 +36805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.332048544 -0.363250125 +36804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.339907638 -0.363250125 +36806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.940616588 -0.363250125 +36807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.582043581 -0.363250125 +36808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.566075554 -0.363250125 +36810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.008212241 -0.363250125 +36809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.718218631 -0.363250125 +36811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.036151016 -0.363250125 +36813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.19772874 -0.363250125 +36814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.121175201 -0.363250125 +36812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.30834513 -0.363250125 +36816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.047137304 -0.363250125 +36815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.278152542 -0.363250125 +36818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.125426809 -0.363250125 +36817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.485179806 -0.363250125 +36819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.528564975 -0.363250125 +36821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.03698337 -0.363250125 +36822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.78485498 -0.363250125 +36820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.458091364 -0.363250125 +36824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.598386628 -0.363250125 +36823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.153241686 -0.363250125 +36825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.173794399 -0.363250125 +36826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.208301523 -0.363250125 +36827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.314274741 -0.363250125 +36829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.429298371 -0.363250125 +36832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.612286265 -0.363250125 +36831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.055903599 -0.363250125 +36828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.674156899 -0.363250125 +36830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.523715953 -0.363250125 +36833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.238194936 -0.363250125 +36834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.319079521 -0.363250125 +36835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.454644693 -0.363250125 +36837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.037923625 -0.363250125 +36839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.705787276 -0.363250125 +36836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.388580296 -0.363250125 +36838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.83307741 -0.363250125 +36840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.528641033 -0.363250125 +36842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.012042657 -0.363250125 +36841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.0627709 -0.363250125 +36843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.103706387 -0.363250125 +36845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.130630488 -0.363250125 +36844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.085340786 -0.363250125 +36846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.153534395 -0.363250125 +36847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.144928764 -0.363250125 +36849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.445610099 -0.363250125 +36850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.079740077 -0.363250125 +36851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.739861159 -0.363250125 +36852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.675106928 -0.363250125 +36853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.142352642 -0.363250125 +36854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.389808971 -0.363250125 +36848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.314572173 -0.363250125 +36855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.713846235 -0.363250125 +36856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.720933659 -0.363250125 +36857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.522820798 -0.363250125 +36858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.482451217 -0.363250125 +36859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.363683581 -0.363250125 +36860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.112936765 -0.363250125 +36861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.03814954 -0.363250125 +36863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.448953099 -0.363250125 +36864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.295092372 -0.363250125 +36866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.498942713 -0.363250125 +36862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.002874892 -0.363250125 +36865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.353444631 -0.363250125 +36868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.520855843 -0.363250125 +36867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.560449629 -0.363250125 +36869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.13176698 -0.363250125 +36871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.540054391 -0.363250125 +36870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.107091152 -0.363250125 +36872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.270174747 -0.363250125 +36873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.74755162 -0.363250125 +36874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.687299446 -0.363250125 +36875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.084222506 -0.363250125 +36876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.093873049 -0.363250125 +36877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.048888874 -0.363250125 +36879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.562224321 -0.363250125 +36880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.83097418 -0.363250125 +36878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.385746056 -0.363250125 +36884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.016191644 -0.363250125 +36883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.4801255 -0.363250125 +36881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.137149583 -0.363250125 +36882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.457543697 -0.363250125 +36885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.725471104 -0.363250125 +36887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.76071018 -0.363250125 +36888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.275746774 -0.363250125 +36886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.329970493 -0.363250125 +36889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.216262587 -0.363250125 +36890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.696691911 -0.363250125 +36891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.371857357 -0.363250125 +36892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.433456038 -0.363250125 +36894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.474098294 -0.363250125 +36895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.093366969 -0.363250125 +36896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.06382801 -0.363250125 +36897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.431173844 -0.363250125 +36893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.552146877 -0.363250125 +36898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.154360262 -0.363250125 +36899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.157222506 -0.363250125 +36900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.157399902 -0.363250125 +36902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.71219671 -0.363250125 +36903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.053786499 -0.363250125 +36901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.32731013 -0.363250125 +36905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.467265621 -0.363250125 +36906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.022260154 -0.363250125 +36907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.708848557 -0.363250125 +36904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.006127213 -0.363250125 +36910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.487872882 -0.363250125 +36909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.776989367 -0.363250125 +36911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.550646277 -0.363250125 +36912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.699053255 -0.363250125 +36908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.351089641 -0.363250125 +36913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.592140566 -0.363250125 +36914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.798884476 -0.363250125 +36916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.476711744 -0.363250125 +36915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.144101277 -0.363250125 +36917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.624985853 -0.363250125 +36921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.236000034 -0.363250125 +36919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.001676486 -0.363250125 +36918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.774512538 -0.363250125 +36920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.458354326 -0.363250125 +36922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.346906808 -0.363250125 +36925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.422306679 -0.363250125 +36924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.368491955 -0.363250125 +36923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.711354667 -0.363250125 +36927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.558552693 -0.363250125 +36926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.621915441 -0.363250125 +36928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.641282395 -0.363250125 +36932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.180450943 -0.363250125 +36929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.253351756 -0.363250125 +36930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.456016459 -0.363250125 +36933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.650708246 -0.363250125 +36931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.330175281 -0.363250125 +36934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.087924234 -0.363250125 +36935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.227021782 -0.363250125 +36936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.033406848 -0.363250125 +36937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.402699851 -0.363250125 +36939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.353806295 -0.363250125 +36940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.670828309 -0.363250125 +36941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.577510524 -0.363250125 +36938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.503371508 -0.363250125 +36943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.25011343 -0.363250125 +36942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.030701727 -0.363250125 +36944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.703911549 -0.363250125 +36945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.091606362 -0.363250125 +36947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.054965567 -0.363250125 +36946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.807335356 -0.363250125 +36948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.536110724 -0.363250125 +36949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.397874795 -0.363250125 +36950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.129389999 -0.363250125 +36951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.642634865 -0.363250125 +36952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.359378205 -0.363250125 +36953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.207935198 -0.363250125 +36955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.217628948 -0.363250125 +36954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.596713204 -0.363250125 +36956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.099439927 -0.363250125 +36958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.477126689 -0.363250125 +36959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.713834872 -0.363250125 +36960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.108774598 -0.363250125 +36961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.007477235 -0.363250125 +36957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.634233244 -0.363250125 +36964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.158104513 -0.363250125 +36962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.386090911 -0.363250125 +36963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.040686024 -0.363250125 +36965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.370688224 -0.363250125 +36966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.535642394 -0.363250125 +36967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.182131092 -0.363250125 +36969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.023265595 -0.363250125 +36968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.509327442 -0.363250125 +36972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.518669868 -0.363250125 +36970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.278745245 -0.363250125 +36971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 0.022119183 -0.363250125 +36973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.284433413 -0.363250125 +36974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.879953051 -0.363250125 +36975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.58873235 -0.363250125 +36977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.458589175 -0.363250125 +36978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.215285825 -0.363250125 +36980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.049524771 -0.363250125 +36979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.092105899 -0.363250125 +36976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.663807961 -0.363250125 +36981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.572127484 -0.363250125 +36982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.530773359 -0.363250125 +36983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.259631161 -0.363250125 +36985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.010785317 -0.363250125 +36984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.472973979 -0.363250125 +36987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.688230053 -0.363250125 +36986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.671032259 -0.363250125 +36988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.636880191 -0.363250125 +36989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.682053616 -0.363250125 +36990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.638943176 -0.363250125 +36991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.586043935 -0.363250125 +36992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.405290676 -0.363250125 +36993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.48770632 -0.363250125 +36994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.045583109 -0.363250125 +36995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.070771875 -0.363250125 +36997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.406024842 -0.363250125 +36996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.42484819 -0.363250125 +36998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.107951476 -0.363250125 +37000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.055082165 -0.363250125 +36999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.8 10 1 -0.270436781 -0.363250125 +37001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.465966289 -0.38180606 +37002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.554066884 -0.38180606 +37003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.04553302 -0.38180606 +37004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.502270775 -0.38180606 +37006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.337779192 -0.38180606 +37005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.415129506 -0.38180606 +37008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.800708061 -0.38180606 +37007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.156451471 -0.38180606 +37009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.356790754 -0.38180606 +37010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.002441005 -0.38180606 +37011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.219269157 -0.38180606 +37012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.017704707 -0.38180606 +37013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.243855158 -0.38180606 +37014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.082904592 -0.38180606 +37017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.385633748 -0.38180606 +37015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.666137219 -0.38180606 +37016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.081335402 -0.38180606 +37018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.381384702 -0.38180606 +37019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.637914378 -0.38180606 +37020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.690187792 -0.38180606 +37021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.364861994 -0.38180606 +37023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.855915634 -0.38180606 +37024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.659807408 -0.38180606 +37027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.289448475 -0.38180606 +37025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.164820255 -0.38180606 +37022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.36397127 -0.38180606 +37026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.018389802 -0.38180606 +37028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.54769584 -0.38180606 +37029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.332871599 -0.38180606 +37030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.56145006 -0.38180606 +37031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.060068153 -0.38180606 +37032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.70114842 -0.38180606 +37033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.774257666 -0.38180606 +37035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.18103196 -0.38180606 +37036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.422973505 -0.38180606 +37034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.065702539 -0.38180606 +37037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.315767106 -0.38180606 +37038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.318232055 -0.38180606 +37039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.667633211 -0.38180606 +37040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.504310308 -0.38180606 +37042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.777032876 -0.38180606 +37041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.182655259 -0.38180606 +37043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.772179864 -0.38180606 +37045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.058641581 -0.38180606 +37044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.726836681 -0.38180606 +37046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.547489984 -0.38180606 +37047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.447974886 -0.38180606 +37050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.379136834 -0.38180606 +37049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.388974391 -0.38180606 +37048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.08529708 -0.38180606 +37051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.045963536 -0.38180606 +37052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.01073808 -0.38180606 +37053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.202984786 -0.38180606 +37054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.384922919 -0.38180606 +37055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.360730317 -0.38180606 +37056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.221586297 -0.38180606 +37057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.586690452 -0.38180606 +37058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.335664026 -0.38180606 +37059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.706812206 -0.38180606 +37060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.385924518 -0.38180606 +37061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.326381637 -0.38180606 +37062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.075432261 -0.38180606 +37063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.058684778 -0.38180606 +37065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.010419835 -0.38180606 +37064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.029941552 -0.38180606 +37067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.128143521 -0.38180606 +37066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.213796565 -0.38180606 +37068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.043444442 -0.38180606 +37069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.051213047 -0.38180606 +37070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.056846897 -0.38180606 +37071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.162330813 -0.38180606 +37073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.788339754 -0.38180606 +37072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.595861636 -0.38180606 +37074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.505853464 -0.38180606 +37075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.022128777 -0.38180606 +37076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.029746233 -0.38180606 +37078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.600783241 -0.38180606 +37080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.787175102 -0.38180606 +37081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.523226975 -0.38180606 +37082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.309892253 -0.38180606 +37079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.0228337 -0.38180606 +37083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.425506011 -0.38180606 +37077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.028287576 -0.38180606 +37084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.39303041 -0.38180606 +37086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.498123693 -0.38180606 +37085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.726991699 -0.38180606 +37088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.765545455 -0.38180606 +37087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.659552483 -0.38180606 +37089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.64636059 -0.38180606 +37090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.082778807 -0.38180606 +37092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.735656601 -0.38180606 +37091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.065609238 -0.38180606 +37094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.092583965 -0.38180606 +37093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.665797711 -0.38180606 +37095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.54206716 -0.38180606 +37096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.653367444 -0.38180606 +37097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.174256016 -0.38180606 +37098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.649933593 -0.38180606 +37099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.575555026 -0.38180606 +37101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.175754918 -0.38180606 +37102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.325054756 -0.38180606 +37100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.026486751 -0.38180606 +37103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.318167034 -0.38180606 +37104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.307060617 -0.38180606 +37105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.671551392 -0.38180606 +37106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.715701756 -0.38180606 +37107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.30403185 -0.38180606 +37108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.400163001 -0.38180606 +37109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.574369348 -0.38180606 +37111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.569655484 -0.38180606 +37110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.044935358 -0.38180606 +37112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.116000055 -0.38180606 +37113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.326528526 -0.38180606 +37114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.690052228 -0.38180606 +37115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.22772266 -0.38180606 +37116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.111391776 -0.38180606 +37117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.649608009 -0.38180606 +37118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.745224184 -0.38180606 +37120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.067987051 -0.38180606 +37121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.094407253 -0.38180606 +37122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.046854681 -0.38180606 +37119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.058272455 -0.38180606 +37123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.225800238 -0.38180606 +37124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.391779678 -0.38180606 +37125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.817355845 -0.38180606 +37126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.078878533 -0.38180606 +37129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.052342977 -0.38180606 +37127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.015272053 -0.38180606 +37128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.499684899 -0.38180606 +37130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.407733549 -0.38180606 +37131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.81154431 -0.38180606 +37133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.520806287 -0.38180606 +37132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.634190418 -0.38180606 +37134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.083370089 -0.38180606 +37135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.615737463 -0.38180606 +37136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.133508508 -0.38180606 +37137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.216683928 -0.38180606 +37138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.090559579 -0.38180606 +37140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.007148249 -0.38180606 +37139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.889811867 -0.38180606 +37142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.694839702 -0.38180606 +37141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.481404939 -0.38180606 +37143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.227612209 -0.38180606 +37144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.363266063 -0.38180606 +37145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.752029509 -0.38180606 +37146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.738628617 -0.38180606 +37147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.724356679 -0.38180606 +37148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.766663965 -0.38180606 +37149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.012047824 -0.38180606 +37150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.626245331 -0.38180606 +37151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.652258588 -0.38180606 +37152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.366374836 -0.38180606 +37153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.673163694 -0.38180606 +37154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.850140724 -0.38180606 +37155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.035336458 -0.38180606 +37157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.774968636 -0.38180606 +37156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.243392349 -0.38180606 +37158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.484537005 -0.38180606 +37160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.523218598 -0.38180606 +37159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.079035994 -0.38180606 +37161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.016771631 -0.38180606 +37163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.041433016 -0.38180606 +37164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.598317736 -0.38180606 +37165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.401020888 -0.38180606 +37166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.03649191 -0.38180606 +37162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.016114412 -0.38180606 +37168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.066863771 -0.38180606 +37167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.275583218 -0.38180606 +37169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.442934879 -0.38180606 +37170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.039576163 -0.38180606 +37171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.629205956 -0.38180606 +37173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.063125789 -0.38180606 +37172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.239027848 -0.38180606 +37175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.161120795 -0.38180606 +37174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.69707035 -0.38180606 +37176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.601810534 -0.38180606 +37177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.551043187 -0.38180606 +37178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.296302993 -0.38180606 +37179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.58616896 -0.38180606 +37180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.445291596 -0.38180606 +37182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.104181276 -0.38180606 +37181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.460375581 -0.38180606 +37184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.454722714 -0.38180606 +37185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.761865409 -0.38180606 +37186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.54674902 -0.38180606 +37183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.716626828 -0.38180606 +37187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.571595056 -0.38180606 +37188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.324275724 -0.38180606 +37191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.255586957 -0.38180606 +37189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.709888579 -0.38180606 +37190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.101082061 -0.38180606 +37192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.454651858 -0.38180606 +37193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.052795541 -0.38180606 +37195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.149644108 -0.38180606 +37194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.240958711 -0.38180606 +37196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.210089658 -0.38180606 +37197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.345112544 -0.38180606 +37199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.170399949 -0.38180606 +37198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.020774818 -0.38180606 +37201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.577391642 -0.38180606 +37200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.243025126 -0.38180606 +37204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.173131625 -0.38180606 +37202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.042349696 -0.38180606 +37206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.484179102 -0.38180606 +37205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.114532852 -0.38180606 +37203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.764318179 -0.38180606 +37208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.906440246 -0.38180606 +37207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.174479051 -0.38180606 +37209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.555839277 -0.38180606 +37210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.176665231 -0.38180606 +37211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.701628956 -0.38180606 +37212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.066474849 -0.38180606 +37213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.222640939 -0.38180606 +37215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.145435946 -0.38180606 +37214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.366447635 -0.38180606 +37216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.536207178 -0.38180606 +37217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.605956542 -0.38180606 +37219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.072137273 -0.38180606 +37218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.59471691 -0.38180606 +37221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.463062085 -0.38180606 +37222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.063992391 -0.38180606 +37220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.01173999 -0.38180606 +37224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.403886241 -0.38180606 +37225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.033119226 -0.38180606 +37226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.462762767 -0.38180606 +37227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.610207146 -0.38180606 +37223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.539242093 -0.38180606 +37228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.167090046 -0.38180606 +37231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.465379076 -0.38180606 +37230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.139458878 -0.38180606 +37233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.377425092 -0.38180606 +37232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.025587773 -0.38180606 +37234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.558436186 -0.38180606 +37229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.513462527 -0.38180606 +37235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.70155438 -0.38180606 +37236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.555351101 -0.38180606 +37238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.459257869 -0.38180606 +37237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.158373392 -0.38180606 +37239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.252364983 -0.38180606 +37240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.162832194 -0.38180606 +37242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.565535645 -0.38180606 +37241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.182258343 -0.38180606 +37244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.384986456 -0.38180606 +37245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.711060099 -0.38180606 +37246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.461162805 -0.38180606 +37247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.139966156 -0.38180606 +37250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.406463973 -0.38180606 +37249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.084729773 -0.38180606 +37248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.737291441 -0.38180606 +37243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.562884561 -0.38180606 +37251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.516946416 -0.38180606 +37252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.100737482 -0.38180606 +37253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.260560032 -0.38180606 +37255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.161241625 -0.38180606 +37256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.0472216 -0.38180606 +37257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.481547736 -0.38180606 +37254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.622565906 -0.38180606 +37258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.197889635 -0.38180606 +37259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.115170851 -0.38180606 +37260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.031581242 -0.38180606 +37262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.048112466 -0.38180606 +37261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.033558022 -0.38180606 +37263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.474888351 -0.38180606 +37264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.326431253 -0.38180606 +37265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.424156895 -0.38180606 +37267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.342710799 -0.38180606 +37268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.713970965 -0.38180606 +37266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.4276126 -0.38180606 +37269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.102227895 -0.38180606 +37273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.291751961 -0.38180606 +37271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.163883438 -0.38180606 +37272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.583931814 -0.38180606 +37270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.633219175 -0.38180606 +37274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.250832238 -0.38180606 +37275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.51020959 -0.38180606 +37277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.756164165 -0.38180606 +37276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.239718855 -0.38180606 +37279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.051211354 -0.38180606 +37280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.157470515 -0.38180606 +37281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.443942979 -0.38180606 +37278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.192457703 -0.38180606 +37282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.550202568 -0.38180606 +37283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.772067539 -0.38180606 +37285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.8243007 -0.38180606 +37286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.13333982 -0.38180606 +37287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.48039916 -0.38180606 +37284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.254251623 -0.38180606 +37289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.093288076 -0.38180606 +37288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.732475172 -0.38180606 +37290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.604996469 -0.38180606 +37291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.765345332 -0.38180606 +37292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.008968763 -0.38180606 +37293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.312429823 -0.38180606 +37294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.172474715 -0.38180606 +37296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.767373965 -0.38180606 +37297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.025100906 -0.38180606 +37295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.139238316 -0.38180606 +37299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.402146496 -0.38180606 +37298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.497756435 -0.38180606 +37301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.331280144 -0.38180606 +37300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.001641415 -0.38180606 +37302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.314458665 -0.38180606 +37303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.759217324 -0.38180606 +37306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.125063546 -0.38180606 +37304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.297680968 -0.38180606 +37307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.076403693 -0.38180606 +37305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.739140073 -0.38180606 +37309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.126120445 -0.38180606 +37310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.659605692 -0.38180606 +37308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.444407934 -0.38180606 +37311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.285525375 -0.38180606 +37314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.571669245 -0.38180606 +37313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.410775411 -0.38180606 +37312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.460209115 -0.38180606 +37316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.05775664 -0.38180606 +37318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.46004581 -0.38180606 +37317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.17363078 -0.38180606 +37315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.70668064 -0.38180606 +37321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.519567029 -0.38180606 +37319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.46132402 -0.38180606 +37320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.544270075 -0.38180606 +37323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.614605555 -0.38180606 +37324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.606135652 -0.38180606 +37325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.561741606 -0.38180606 +37326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.024012497 -0.38180606 +37322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.02432978 -0.38180606 +37327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.457283197 -0.38180606 +37329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.302721168 -0.38180606 +37328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.775763771 -0.38180606 +37330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.545433513 -0.38180606 +37331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.020983294 -0.38180606 +37333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.078913987 -0.38180606 +37334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.374765899 -0.38180606 +37332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.568271635 -0.38180606 +37335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.67628453 -0.38180606 +37336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.241035865 -0.38180606 +37338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.274959352 -0.38180606 +37339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.731345139 -0.38180606 +37337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.374767795 -0.38180606 +37341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.334613593 -0.38180606 +37340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.33253621 -0.38180606 +37343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.236116832 -0.38180606 +37344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.028060444 -0.38180606 +37345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.766241558 -0.38180606 +37346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.729845188 -0.38180606 +37342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.166936967 -0.38180606 +37347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.367224168 -0.38180606 +37349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.673176434 -0.38180606 +37348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.578222085 -0.38180606 +37350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.077899075 -0.38180606 +37351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.323505253 -0.38180606 +37352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.35126955 -0.38180606 +37353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.753638033 -0.38180606 +37354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.828674152 -0.38180606 +37355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.62031107 -0.38180606 +37357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.044759913 -0.38180606 +37356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.586069087 -0.38180606 +37358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.832155446 -0.38180606 +37359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.137723889 -0.38180606 +37360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.063451388 -0.38180606 +37361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.660212515 -0.38180606 +37363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.528210625 -0.38180606 +37366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.653578401 -0.38180606 +37365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.093456614 -0.38180606 +37362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.504645322 -0.38180606 +37364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.378837033 -0.38180606 +37367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.721310459 -0.38180606 +37368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.264952309 -0.38180606 +37369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.556151421 -0.38180606 +37370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.344653766 -0.38180606 +37371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.188788554 -0.38180606 +37372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.36524195 -0.38180606 +37374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.393753686 -0.38180606 +37376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.205171768 -0.38180606 +37373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.869006132 -0.38180606 +37375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.772028029 -0.38180606 +37377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.234231246 -0.38180606 +37378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.211102322 -0.38180606 +37379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.40260024 -0.38180606 +37381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.192934529 -0.38180606 +37380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.213149791 -0.38180606 +37383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.219575236 -0.38180606 +37385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.136550195 -0.38180606 +37384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.779838212 -0.38180606 +37386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.671122163 -0.38180606 +37382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.538403147 -0.38180606 +37388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.464692999 -0.38180606 +37387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.004380499 -0.38180606 +37390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.381586582 -0.38180606 +37389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.12106554 -0.38180606 +37392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.738632766 -0.38180606 +37391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.626451754 -0.38180606 +37393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.632885869 -0.38180606 +37394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.119691501 -0.38180606 +37395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.014553266 -0.38180606 +37396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.049493963 -0.38180606 +37397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.399092427 -0.38180606 +37398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.779871419 -0.38180606 +37399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.087926196 -0.38180606 +37401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.173918436 -0.38180606 +37400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.876421829 -0.38180606 +37404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.404308464 -0.38180606 +37403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.098025733 -0.38180606 +37405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.747822454 -0.38180606 +37407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.346676962 -0.38180606 +37406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.33756064 -0.38180606 +37408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.506921638 -0.38180606 +37409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.478951764 -0.38180606 +37402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.014661629 -0.38180606 +37411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.071482472 -0.38180606 +37412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.15378544 -0.38180606 +37413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.071910115 -0.38180606 +37410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.277218698 -0.38180606 +37414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.399278532 -0.38180606 +37416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.284825946 -0.38180606 +37415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.081492784 -0.38180606 +37418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.620697153 -0.38180606 +37419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.503351641 -0.38180606 +37417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.566881429 -0.38180606 +37421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.459883652 -0.38180606 +37420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.243306873 -0.38180606 +37422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.189926995 -0.38180606 +37423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.46716701 -0.38180606 +37424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.730096181 -0.38180606 +37426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.182117097 -0.38180606 +37428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.414603116 -0.38180606 +37429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.151427619 -0.38180606 +37430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.298796496 -0.38180606 +37431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.719646993 -0.38180606 +37425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.024391919 -0.38180606 +37432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.74522975 -0.38180606 +37427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.669447147 -0.38180606 +37433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.407876505 -0.38180606 +37434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.476007139 -0.38180606 +37435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.132179913 -0.38180606 +37436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.189515258 -0.38180606 +37438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.537310735 -0.38180606 +37437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.15576398 -0.38180606 +37439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.700925009 -0.38180606 +37440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.545635962 -0.38180606 +37441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.252777754 -0.38180606 +37442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.014604999 -0.38180606 +37443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.67653284 -0.38180606 +37446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.605331825 -0.38180606 +37445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.096726593 -0.38180606 +37444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.414294207 -0.38180606 +37447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.290072279 -0.38180606 +37449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.777620288 -0.38180606 +37450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.344407702 -0.38180606 +37451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.613265432 -0.38180606 +37448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.057752014 -0.38180606 +37453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.63618206 -0.38180606 +37452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.609047762 -0.38180606 +37454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.255661083 -0.38180606 +37455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.79286255 -0.38180606 +37456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.05046694 -0.38180606 +37457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.667103559 -0.38180606 +37458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.132780655 -0.38180606 +37460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.521310882 -0.38180606 +37459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.799554173 -0.38180606 +37461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.780638657 -0.38180606 +37463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.626924256 -0.38180606 +37464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.111911575 -0.38180606 +37465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.388366329 -0.38180606 +37466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.153118459 -0.38180606 +37462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.424083828 -0.38180606 +37467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.730566975 -0.38180606 +37469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.093547288 -0.38180606 +37470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.687065486 -0.38180606 +37468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.40551638 -0.38180606 +37472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.585618729 -0.38180606 +37471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.508383645 -0.38180606 +37473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.740666617 -0.38180606 +37474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.602927234 -0.38180606 +37475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.666928145 -0.38180606 +37476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.277236819 -0.38180606 +37479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.678761607 -0.38180606 +37480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.369076807 -0.38180606 +37478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.138526766 -0.38180606 +37477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.269604015 -0.38180606 +37481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.270056496 -0.38180606 +37482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.542489984 -0.38180606 +37483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.304076846 -0.38180606 +37484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.599625197 -0.38180606 +37487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.231743407 -0.38180606 +37488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.544211471 -0.38180606 +37485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.063759933 -0.38180606 +37486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.529412319 -0.38180606 +37489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.285471179 -0.38180606 +37491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.772401281 -0.38180606 +37492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.497952663 -0.38180606 +37490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.157329635 -0.38180606 +37493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.688578615 -0.38180606 +37495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.758734112 -0.38180606 +37494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.466975032 -0.38180606 +37496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.164922564 -0.38180606 +37497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.330918495 -0.38180606 +37498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.130863789 -0.38180606 +37499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.194289311 -0.38180606 +37500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.66088939 -0.38180606 +37503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.107321152 -0.38180606 +37502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.612063758 -0.38180606 +37505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.393068807 -0.38180606 +37501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.803410709 -0.38180606 +37506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.625709454 -0.38180606 +37504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.391411691 -0.38180606 +37507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.049336498 -0.38180606 +37509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.187624077 -0.38180606 +37508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.135497981 -0.38180606 +37510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.697768852 -0.38180606 +37511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.59101235 -0.38180606 +37512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.237257529 -0.38180606 +37515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.346634561 -0.38180606 +37514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.444554103 -0.38180606 +37513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.062731601 -0.38180606 +37517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.602053719 -0.38180606 +37518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.641176876 -0.38180606 +37519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.712227499 -0.38180606 +37520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.165320911 -0.38180606 +37516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.010611359 -0.38180606 +37521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.763260133 -0.38180606 +37522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.100528544 -0.38180606 +37523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.116008065 -0.38180606 +37524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.488580304 -0.38180606 +37525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.622490066 -0.38180606 +37526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.731475462 -0.38180606 +37528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.164461847 -0.38180606 +37527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.2635837 -0.38180606 +37529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.184302052 -0.38180606 +37531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.064633272 -0.38180606 +37532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.48361333 -0.38180606 +37533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.642037956 -0.38180606 +37534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.432626075 -0.38180606 +37536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.590106016 -0.38180606 +37530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.394320765 -0.38180606 +37537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.243554542 -0.38180606 +37535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.004460231 -0.38180606 +37538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.525708681 -0.38180606 +37539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.2629071 -0.38180606 +37540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.740426389 -0.38180606 +37541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.349171672 -0.38180606 +37542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.594739338 -0.38180606 +37544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.201319573 -0.38180606 +37545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.010732306 -0.38180606 +37543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.191536941 -0.38180606 +37546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.494053086 -0.38180606 +37548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.019597323 -0.38180606 +37547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.080074223 -0.38180606 +37549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.686869979 -0.38180606 +37550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.445035589 -0.38180606 +37551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.058960168 -0.38180606 +37552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.181489427 -0.38180606 +37554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.358390557 -0.38180606 +37553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.772439267 -0.38180606 +37555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.098245632 -0.38180606 +37556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.009831749 -0.38180606 +37557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.035509799 -0.38180606 +37558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.666667632 -0.38180606 +37559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.361697701 -0.38180606 +37560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.785342096 -0.38180606 +37561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.430812192 -0.38180606 +37565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.253952091 -0.38180606 +37563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.408210236 -0.38180606 +37564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.461970127 -0.38180606 +37562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.03903149 -0.38180606 +37566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.13310872 -0.38180606 +37568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.535491035 -0.38180606 +37567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.481316748 -0.38180606 +37569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.448544424 -0.38180606 +37571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.098975884 -0.38180606 +37570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.545715868 -0.38180606 +37572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.250111907 -0.38180606 +37574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.690450578 -0.38180606 +37573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.247159448 -0.38180606 +37575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.694470255 -0.38180606 +37576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.311215394 -0.38180606 +37577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.634161402 -0.38180606 +37579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.769191066 -0.38180606 +37578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.825343689 -0.38180606 +37581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.062079659 -0.38180606 +37580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.604082303 -0.38180606 +37582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.268882565 -0.38180606 +37583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.633707972 -0.38180606 +37584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.343522336 -0.38180606 +37586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.034794372 -0.38180606 +37587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.615522365 -0.38180606 +37585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.717081656 -0.38180606 +37588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.528902967 -0.38180606 +37589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.06938686 -0.38180606 +37591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.472272581 -0.38180606 +37590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.321518025 -0.38180606 +37592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.283762816 -0.38180606 +37594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.378809746 -0.38180606 +37593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.334882544 -0.38180606 +37595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.155299333 -0.38180606 +37597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.179396083 -0.38180606 +37596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.42679047 -0.38180606 +37598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.386750942 -0.38180606 +37600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.434034551 -0.38180606 +37602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.729091456 -0.38180606 +37601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.556761954 -0.38180606 +37603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.320784184 -0.38180606 +37605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.031031636 -0.38180606 +37604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.145531262 -0.38180606 +37599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.047315174 -0.38180606 +37606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.565487482 -0.38180606 +37609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.01938016 -0.38180606 +37610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.102007071 -0.38180606 +37608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.543310047 -0.38180606 +37607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.235691756 -0.38180606 +37611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.625402435 -0.38180606 +37612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.394500303 -0.38180606 +37613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.481944388 -0.38180606 +37614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.537898517 -0.38180606 +37615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.447924536 -0.38180606 +37618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.852890882 -0.38180606 +37616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.631393463 -0.38180606 +37617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.701546769 -0.38180606 +37619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.599230153 -0.38180606 +37620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.166043525 -0.38180606 +37622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.660619544 -0.38180606 +37624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.380311245 -0.38180606 +37625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.055794129 -0.38180606 +37626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.601070691 -0.38180606 +37623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.812932546 -0.38180606 +37627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.353264445 -0.38180606 +37628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.55251878 -0.38180606 +37621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.416626606 -0.38180606 +37629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.002825216 -0.38180606 +37631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.595856382 -0.38180606 +37633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.637447843 -0.38180606 +37632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.158129534 -0.38180606 +37634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.825718188 -0.38180606 +37630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.815407926 -0.38180606 +37635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.045528447 -0.38180606 +37636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.342103826 -0.38180606 +37637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.169794014 -0.38180606 +37640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.749636888 -0.38180606 +37638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.455906 -0.38180606 +37641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.703243436 -0.38180606 +37642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.412841686 -0.38180606 +37643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.354517365 -0.38180606 +37639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 3.34E-04 -0.38180606 +37645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.018298597 -0.38180606 +37644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.804580657 -0.38180606 +37646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.023304087 -0.38180606 +37648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.578039252 -0.38180606 +37647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.25204182 -0.38180606 +37649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.654459622 -0.38180606 +37650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.622788835 -0.38180606 +37651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.069846284 -0.38180606 +37652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.04782698 -0.38180606 +37654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.150308386 -0.38180606 +37653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.523757884 -0.38180606 +37657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.748324096 -0.38180606 +37656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.020943248 -0.38180606 +37655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.549127978 -0.38180606 +37658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.185334431 -0.38180606 +37659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.313078123 -0.38180606 +37661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.336479337 -0.38180606 +37660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.379152497 -0.38180606 +37663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.080123145 -0.38180606 +37664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.008793819 -0.38180606 +37665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.5363223 -0.38180606 +37666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.668186257 -0.38180606 +37667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.488506036 -0.38180606 +37662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.594851846 -0.38180606 +37668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.847733971 -0.38180606 +37669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.656083417 -0.38180606 +37671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.637799087 -0.38180606 +37673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.533937976 -0.38180606 +37672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.734445194 -0.38180606 +37674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.080915842 -0.38180606 +37670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.128802133 -0.38180606 +37676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.016788536 -0.38180606 +37675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.30061502 -0.38180606 +37678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.815744035 -0.38180606 +37677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.009607867 -0.38180606 +37679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.135095574 -0.38180606 +37680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.038403936 -0.38180606 +37681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.739583698 -0.38180606 +37682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.465242203 -0.38180606 +37683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.576757966 -0.38180606 +37685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.789977245 -0.38180606 +37684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.04445617 -0.38180606 +37686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.188603594 -0.38180606 +37687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.213953519 -0.38180606 +37688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.530152747 -0.38180606 +37690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.127699041 -0.38180606 +37689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.856112509 -0.38180606 +37691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.033616847 -0.38180606 +37693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.612310634 -0.38180606 +37694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.675358016 -0.38180606 +37695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.131839359 -0.38180606 +37692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.735656532 -0.38180606 +37696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.118725519 -0.38180606 +37698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.014849121 -0.38180606 +37697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.706300513 -0.38180606 +37699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.629893031 -0.38180606 +37700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.403131203 -0.38180606 +37702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.51433453 -0.38180606 +37701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.023529235 -0.38180606 +37703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.840457226 -0.38180606 +37704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.74961256 -0.38180606 +37705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.493409093 -0.38180606 +37707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.678842826 -0.38180606 +37708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.613054042 -0.38180606 +37709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.00570298 -0.38180606 +37711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.05662377 -0.38180606 +37710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.569994589 -0.38180606 +37706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.187805744 -0.38180606 +37712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.009785907 -0.38180606 +37714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.632319319 -0.38180606 +37713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.026497806 -0.38180606 +37719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.638777219 -0.38180606 +37715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.060631232 -0.38180606 +37717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.473594366 -0.38180606 +37716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.244484212 -0.38180606 +37718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.266810567 -0.38180606 +37720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.385682188 -0.38180606 +37721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.448538751 -0.38180606 +37722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.501599191 -0.38180606 +37724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.032566151 -0.38180606 +37725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.213023018 -0.38180606 +37726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.751848125 -0.38180606 +37727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.089501736 -0.38180606 +37723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.873828571 -0.38180606 +37728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.383876153 -0.38180606 +37729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.357222259 -0.38180606 +37732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.515587846 -0.38180606 +37731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.005436381 -0.38180606 +37734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.615985089 -0.38180606 +37735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.175437446 -0.38180606 +37733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.488984353 -0.38180606 +37730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.607038395 -0.38180606 +37736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.171729209 -0.38180606 +37737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.408791859 -0.38180606 +37738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.086912182 -0.38180606 +37739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.253625618 -0.38180606 +37740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.011154318 -0.38180606 +37741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.742333935 -0.38180606 +37742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.14398417 -0.38180606 +37743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.554237352 -0.38180606 +37744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.202458821 -0.38180606 +37745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.489659252 -0.38180606 +37747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.143644632 -0.38180606 +37746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.23986737 -0.38180606 +37748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.656941762 -0.38180606 +37750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.582158983 -0.38180606 +37749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.332749077 -0.38180606 +37752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.684545821 -0.38180606 +37751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.17578031 -0.38180606 +37753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.068265939 -0.38180606 +37755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.728237396 -0.38180606 +37754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.757078784 -0.38180606 +37756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.578155136 -0.38180606 +37758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.37434751 -0.38180606 +37757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.483960777 -0.38180606 +37759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.762847199 -0.38180606 +37760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.496443394 -0.38180606 +37761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.83708908 -0.38180606 +37763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.073742243 -0.38180606 +37762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.725957225 -0.38180606 +37766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.238167066 -0.38180606 +37764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.197907644 -0.38180606 +37765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.5125841 -0.38180606 +37767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.712671526 -0.38180606 +37769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.360636269 -0.38180606 +37771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.127375885 -0.38180606 +37770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.715367916 -0.38180606 +37773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.170758116 -0.38180606 +37768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.357028033 -0.38180606 +37772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.252435307 -0.38180606 +37774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.246586914 -0.38180606 +37775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.159559399 -0.38180606 +37776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.209888542 -0.38180606 +37778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.012631667 -0.38180606 +37777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.430369882 -0.38180606 +37779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.257515442 -0.38180606 +37781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.171123687 -0.38180606 +37782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.25017537 -0.38180606 +37780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.796714801 -0.38180606 +37783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.336938144 -0.38180606 +37785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.0758295 -0.38180606 +37786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.596373873 -0.38180606 +37787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.20715169 -0.38180606 +37788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.318372488 -0.38180606 +37784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.154061316 -0.38180606 +37789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.422565532 -0.38180606 +37790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.454109473 -0.38180606 +37791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.444033249 -0.38180606 +37792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.804342667 -0.38180606 +37793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.566873516 -0.38180606 +37794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.034897622 -0.38180606 +37796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.304108723 -0.38180606 +37797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.326076284 -0.38180606 +37795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.197145571 -0.38180606 +37799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.06339744 -0.38180606 +37798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.441625052 -0.38180606 +37800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.21551683 -0.38180606 +37802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.459923524 -0.38180606 +37801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.610651535 -0.38180606 +37803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.484242373 -0.38180606 +37805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.494334866 -0.38180606 +37804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.678871132 -0.38180606 +37808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.766087943 -0.38180606 +37810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.756244957 -0.38180606 +37806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.377401107 -0.38180606 +37811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.758871125 -0.38180606 +37809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.547397794 -0.38180606 +37813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.762490862 -0.38180606 +37807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.251211481 -0.38180606 +37812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.825548311 -0.38180606 +37814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.460740138 -0.38180606 +37816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.329241032 -0.38180606 +37817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.501861382 -0.38180606 +37818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.160659533 -0.38180606 +37815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.590991651 -0.38180606 +37819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.087240414 -0.38180606 +37821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.18048134 -0.38180606 +37820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.338826016 -0.38180606 +37823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.048539055 -0.38180606 +37822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.111503009 -0.38180606 +37826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.327355621 -0.38180606 +37825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.198597374 -0.38180606 +37824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.545039779 -0.38180606 +37827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.105319353 -0.38180606 +37828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.063381519 -0.38180606 +37830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.40709682 -0.38180606 +37831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.663093483 -0.38180606 +37829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.549572489 -0.38180606 +37832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.554521771 -0.38180606 +37834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.209448676 -0.38180606 +37833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.517103541 -0.38180606 +37835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.03627128 -0.38180606 +37836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.758575632 -0.38180606 +37837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.133438975 -0.38180606 +37838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.177117453 -0.38180606 +37840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.51725617 -0.38180606 +37842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.497816734 -0.38180606 +37841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.38067698 -0.38180606 +37843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.133270194 -0.38180606 +37844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.264905776 -0.38180606 +37839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.019237113 -0.38180606 +37847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.631927475 -0.38180606 +37846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.262209241 -0.38180606 +37845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.554952913 -0.38180606 +37849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.180406385 -0.38180606 +37848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.530272756 -0.38180606 +37850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.796491708 -0.38180606 +37851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.850767468 -0.38180606 +37855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.659265155 -0.38180606 +37854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.574837605 -0.38180606 +37853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.317989591 -0.38180606 +37852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.546866627 -0.38180606 +37858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.274572784 -0.38180606 +37857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.422989043 -0.38180606 +37859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.657253542 -0.38180606 +37856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.749683978 -0.38180606 +37860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.546031714 -0.38180606 +37861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.111940634 -0.38180606 +37862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.344989798 -0.38180606 +37865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.011109815 -0.38180606 +37863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.643524622 -0.38180606 +37866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.379349718 -0.38180606 +37864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.382308446 -0.38180606 +37867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.554633097 -0.38180606 +37868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.140700089 -0.38180606 +37869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.324364381 -0.38180606 +37870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.173173759 -0.38180606 +37872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.016333847 -0.38180606 +37873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.447840278 -0.38180606 +37875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.58849101 -0.38180606 +37874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.032966996 -0.38180606 +37871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.637156547 -0.38180606 +37876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.374008671 -0.38180606 +37877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.487661169 -0.38180606 +37878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.569691665 -0.38180606 +37880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.220224239 -0.38180606 +37879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.189628223 -0.38180606 +37881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.302938789 -0.38180606 +37882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.391276875 -0.38180606 +37883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.107954236 -0.38180606 +37884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.572933206 -0.38180606 +37886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.014943717 -0.38180606 +37885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.770795501 -0.38180606 +37887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.00942866 -0.38180606 +37889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.385996277 -0.38180606 +37888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.510132087 -0.38180606 +37890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.700746951 -0.38180606 +37891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.093668878 -0.38180606 +37892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.084061295 -0.38180606 +37893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.32743288 -0.38180606 +37894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.497624983 -0.38180606 +37895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.64768381 -0.38180606 +37896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.717029972 -0.38180606 +37898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.466843688 -0.38180606 +37899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.155812474 -0.38180606 +37900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.531643548 -0.38180606 +37901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.572463748 -0.38180606 +37902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.695575698 -0.38180606 +37897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.226322685 -0.38180606 +37903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.141181638 -0.38180606 +37904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.253796867 -0.38180606 +37905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.707151023 -0.38180606 +37906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.024175006 -0.38180606 +37907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.350736184 -0.38180606 +37908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.711330533 -0.38180606 +37910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.007733357 -0.38180606 +37909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.068952409 -0.38180606 +37912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.419016257 -0.38180606 +37911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.324548301 -0.38180606 +37913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.151315241 -0.38180606 +37915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.370389784 -0.38180606 +37916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.061006344 -0.38180606 +37914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.490918531 -0.38180606 +37917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.440372389 -0.38180606 +37918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.624629203 -0.38180606 +37919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.738458677 -0.38180606 +37921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.678757375 -0.38180606 +37922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.291489184 -0.38180606 +37920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.388269254 -0.38180606 +37923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.275700886 -0.38180606 +37924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.552209853 -0.38180606 +37926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.65122827 -0.38180606 +37927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.052727389 -0.38180606 +37925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.790752141 -0.38180606 +37928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.043040031 -0.38180606 +37931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.772933266 -0.38180606 +37930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.713963541 -0.38180606 +37929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.23892417 -0.38180606 +37932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.732030276 -0.38180606 +37934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.70431187 -0.38180606 +37933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.470164589 -0.38180606 +37935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.380888759 -0.38180606 +37936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.746641992 -0.38180606 +37938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.394793467 -0.38180606 +37937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.031684358 -0.38180606 +37939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.810765351 -0.38180606 +37940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.217451835 -0.38180606 +37941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 7.57E-04 -0.38180606 +37942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.037226488 -0.38180606 +37944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.224320088 -0.38180606 +37945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.200296382 -0.38180606 +37946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.305151762 -0.38180606 +37943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.297335005 -0.38180606 +37948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.426207492 -0.38180606 +37947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.297103635 -0.38180606 +37949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.499355763 -0.38180606 +37951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.712567478 -0.38180606 +37952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.597925299 -0.38180606 +37954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.514238942 -0.38180606 +37953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.206684845 -0.38180606 +37950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.048729623 -0.38180606 +37955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.632334322 -0.38180606 +37956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.613472436 -0.38180606 +37957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.443987021 -0.38180606 +37959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.291930191 -0.38180606 +37958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.102136433 -0.38180606 +37962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.440381003 -0.38180606 +37961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.038871667 -0.38180606 +37963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.234473979 -0.38180606 +37964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.281612839 -0.38180606 +37965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.473616812 -0.38180606 +37967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.637619966 -0.38180606 +37960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.342522962 -0.38180606 +37966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.59054679 -0.38180606 +37969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.032646385 -0.38180606 +37968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.122000915 -0.38180606 +37970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.296540362 -0.38180606 +37971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.140078996 -0.38180606 +37973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.468369907 -0.38180606 +37972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.099786041 -0.38180606 +37974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.448873865 -0.38180606 +37975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.186212612 -0.38180606 +37976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.77888054 -0.38180606 +37977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.576859803 -0.38180606 +37978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.131858498 -0.38180606 +37979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.028128518 -0.38180606 +37980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.641519548 -0.38180606 +37983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.050577474 -0.38180606 +37981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.134913166 -0.38180606 +37982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.338729644 -0.38180606 +37984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.517293536 -0.38180606 +37985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.146625038 -0.38180606 +37986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.322362338 -0.38180606 +37988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.572157165 -0.38180606 +37989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.002859746 -0.38180606 +37990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.382583029 -0.38180606 +37992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.221459977 -0.38180606 +37987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.720546957 -0.38180606 +37991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.496008183 -0.38180606 +37993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.569661037 -0.38180606 +37994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.525496736 -0.38180606 +37996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.525364097 -0.38180606 +37995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.589137475 -0.38180606 +37997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.417410988 -0.38180606 +37998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.507230201 -0.38180606 +38000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 -0.738826175 -0.38180606 +37999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.85 10 1 0.086045727 -0.38180606 +38001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.063096951 -0.37343772 +38002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.733395496 -0.37343772 +38005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.144448042 -0.37343772 +38004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.055435639 -0.37343772 +38006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.810432514 -0.37343772 +38003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.474105731 -0.37343772 +38008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.701978292 -0.37343772 +38009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.185765089 -0.37343772 +38007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.119728086 -0.37343772 +38010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.83791698 -0.37343772 +38012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.693433309 -0.37343772 +38011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.477572853 -0.37343772 +38013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.836327565 -0.37343772 +38014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.559849479 -0.37343772 +38016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.180158381 -0.37343772 +38015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.076488789 -0.37343772 +38017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.578817768 -0.37343772 +38018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.249383533 -0.37343772 +38020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.355722409 -0.37343772 +38022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.724866299 -0.37343772 +38019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.587107889 -0.37343772 +38021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.458360899 -0.37343772 +38023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.806772594 -0.37343772 +38024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.235293297 -0.37343772 +38026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.411739898 -0.37343772 +38027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.456614592 -0.37343772 +38025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.430714491 -0.37343772 +38028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.151211827 -0.37343772 +38029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.334250576 -0.37343772 +38030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.007906025 -0.37343772 +38031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.540701814 -0.37343772 +38032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.356501406 -0.37343772 +38034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.078431432 -0.37343772 +38033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.798968141 -0.37343772 +38036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.736570626 -0.37343772 +38035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.768819043 -0.37343772 +38038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.613520901 -0.37343772 +38039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.368646164 -0.37343772 +38037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.049534095 -0.37343772 +38040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.377948707 -0.37343772 +38041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.707266536 -0.37343772 +38042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.144070304 -0.37343772 +38043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.068610629 -0.37343772 +38047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.667946734 -0.37343772 +38045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.855938787 -0.37343772 +38046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.232248852 -0.37343772 +38048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.542298651 -0.37343772 +38044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.092381454 -0.37343772 +38049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.656349594 -0.37343772 +38050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.157506165 -0.37343772 +38051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.489314144 -0.37343772 +38053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.00643503 -0.37343772 +38052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.348582509 -0.37343772 +38054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.070269817 -0.37343772 +38055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.758545186 -0.37343772 +38056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.480710862 -0.37343772 +38057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.251486216 -0.37343772 +38058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.075829093 -0.37343772 +38059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.793864 -0.37343772 +38061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.681880771 -0.37343772 +38060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.399595392 -0.37343772 +38062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.51341293 -0.37343772 +38063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.580636859 -0.37343772 +38065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.344293854 -0.37343772 +38066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.179798795 -0.37343772 +38067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.530139904 -0.37343772 +38064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.751570163 -0.37343772 +38068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.538878875 -0.37343772 +38069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.216635523 -0.37343772 +38071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.378592754 -0.37343772 +38070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.132574155 -0.37343772 +38072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.439625802 -0.37343772 +38073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.034388792 -0.37343772 +38074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.411984363 -0.37343772 +38076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.464246058 -0.37343772 +38077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.285499008 -0.37343772 +38075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.061777359 -0.37343772 +38078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.323477822 -0.37343772 +38079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.307856316 -0.37343772 +38080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.076406521 -0.37343772 +38081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.433461045 -0.37343772 +38082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.762564866 -0.37343772 +38083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.656199252 -0.37343772 +38084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.75126755 -0.37343772 +38086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.329714843 -0.37343772 +38087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.642690042 -0.37343772 +38085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.129418875 -0.37343772 +38088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.081927243 -0.37343772 +38089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.46790023 -0.37343772 +38090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.083675215 -0.37343772 +38091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.596112341 -0.37343772 +38092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.204762154 -0.37343772 +38093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.699855853 -0.37343772 +38094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.321844473 -0.37343772 +38096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.40420708 -0.37343772 +38095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.613401858 -0.37343772 +38097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.012295469 -0.37343772 +38098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.267523541 -0.37343772 +38099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.40363849 -0.37343772 +38100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.415552322 -0.37343772 +38101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.717619577 -0.37343772 +38102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.453626812 -0.37343772 +38105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.17054149 -0.37343772 +38103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.031836042 -0.37343772 +38106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.762184154 -0.37343772 +38107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.498482493 -0.37343772 +38108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.01611124 -0.37343772 +38104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.718338149 -0.37343772 +38109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.634424879 -0.37343772 +38110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.380081843 -0.37343772 +38111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.485223246 -0.37343772 +38112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.3211079 -0.37343772 +38113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.27157615 -0.37343772 +38114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.82314911 -0.37343772 +38115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.401838473 -0.37343772 +38117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.128710099 -0.37343772 +38116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.651557277 -0.37343772 +38118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.465345407 -0.37343772 +38119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.742831882 -0.37343772 +38120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.114147713 -0.37343772 +38121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.167442248 -0.37343772 +38122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.288295807 -0.37343772 +38123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.791044992 -0.37343772 +38124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.139497104 -0.37343772 +38126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.735871748 -0.37343772 +38127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.564586272 -0.37343772 +38129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.691486895 -0.37343772 +38128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.254396289 -0.37343772 +38125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.663851411 -0.37343772 +38130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.24267431 -0.37343772 +38131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.421962466 -0.37343772 +38132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.760436585 -0.37343772 +38133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.512537916 -0.37343772 +38134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.530104731 -0.37343772 +38135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.138174061 -0.37343772 +38136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.167161285 -0.37343772 +38137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.52164348 -0.37343772 +38138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.620223899 -0.37343772 +38139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.10474212 -0.37343772 +38140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.395178127 -0.37343772 +38141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.268589014 -0.37343772 +38142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.350469507 -0.37343772 +38143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.712676455 -0.37343772 +38144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.357555003 -0.37343772 +38146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.699311454 -0.37343772 +38147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.5733809 -0.37343772 +38145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.305988298 -0.37343772 +38148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.028741385 -0.37343772 +38149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.320457199 -0.37343772 +38150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.367300908 -0.37343772 +38151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.659993451 -0.37343772 +38152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.121084658 -0.37343772 +38153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.510252899 -0.37343772 +38154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.023387215 -0.37343772 +38156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.138795333 -0.37343772 +38155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.055855953 -0.37343772 +38157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.841224478 -0.37343772 +38160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.090547727 -0.37343772 +38158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.048543672 -0.37343772 +38159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.139099448 -0.37343772 +38161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.246721389 -0.37343772 +38162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.698781874 -0.37343772 +38163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.044922756 -0.37343772 +38164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.592156109 -0.37343772 +38166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.069448438 -0.37343772 +38167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.507067631 -0.37343772 +38165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.13233206 -0.37343772 +38168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.618016066 -0.37343772 +38169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.771548954 -0.37343772 +38170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.347998652 -0.37343772 +38171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.338738839 -0.37343772 +38173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.747391944 -0.37343772 +38175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.444683796 -0.37343772 +38174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.366140756 -0.37343772 +38172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.317988265 -0.37343772 +38176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.712462144 -0.37343772 +38178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.557840528 -0.37343772 +38177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.097188127 -0.37343772 +38179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.443659449 -0.37343772 +38180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.337848883 -0.37343772 +38182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.797694836 -0.37343772 +38181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.136268883 -0.37343772 +38183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.377869703 -0.37343772 +38184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.373038982 -0.37343772 +38185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.107436146 -0.37343772 +38186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.734456553 -0.37343772 +38187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.063288992 -0.37343772 +38188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.259363707 -0.37343772 +38189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.484453945 -0.37343772 +38190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.269332042 -0.37343772 +38192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.371149984 -0.37343772 +38191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.690402725 -0.37343772 +38194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.230479965 -0.37343772 +38193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.609346815 -0.37343772 +38195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.155913053 -0.37343772 +38196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.63093164 -0.37343772 +38197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.822255189 -0.37343772 +38198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.570394379 -0.37343772 +38199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.197303247 -0.37343772 +38200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.453628597 -0.37343772 +38201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.555256946 -0.37343772 +38202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.517574781 -0.37343772 +38203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.009349324 -0.37343772 +38204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.363262326 -0.37343772 +38205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.256733049 -0.37343772 +38206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.038033365 -0.37343772 +38207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.250303395 -0.37343772 +38209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.092569675 -0.37343772 +38210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.527487954 -0.37343772 +38211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.039604368 -0.37343772 +38208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.611165731 -0.37343772 +38212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.589930867 -0.37343772 +38213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.767082314 -0.37343772 +38214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.028143394 -0.37343772 +38215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.727558121 -0.37343772 +38216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.02792779 -0.37343772 +38217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.054917094 -0.37343772 +38218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.417002765 -0.37343772 +38220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.067905437 -0.37343772 +38219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.564832061 -0.37343772 +38221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.761184707 -0.37343772 +38222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.764923549 -0.37343772 +38223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.084280986 -0.37343772 +38225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.631388984 -0.37343772 +38224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.016556396 -0.37343772 +38226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.54010114 -0.37343772 +38227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.098248267 -0.37343772 +38229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.574286495 -0.37343772 +38228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.005084758 -0.37343772 +38230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.27510841 -0.37343772 +38231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.378037772 -0.37343772 +38233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.735266935 -0.37343772 +38232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.447997176 -0.37343772 +38234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.228665359 -0.37343772 +38235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.635997498 -0.37343772 +38236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.41046008 -0.37343772 +38237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.02895446 -0.37343772 +38238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.579373176 -0.37343772 +38239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.673360799 -0.37343772 +38240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.07434871 -0.37343772 +38241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.020729277 -0.37343772 +38242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.028917219 -0.37343772 +38243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.691740319 -0.37343772 +38244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.220931643 -0.37343772 +38245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.242146422 -0.37343772 +38246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.133011174 -0.37343772 +38247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.638457098 -0.37343772 +38249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.667971817 -0.37343772 +38248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.530539016 -0.37343772 +38250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.093869877 -0.37343772 +38251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.024265287 -0.37343772 +38252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.531602646 -0.37343772 +38254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.488405658 -0.37343772 +38253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.224310397 -0.37343772 +38255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.548159966 -0.37343772 +38256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.452611864 -0.37343772 +38258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.561791501 -0.37343772 +38257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.517770081 -0.37343772 +38259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.712460629 -0.37343772 +38260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.162876655 -0.37343772 +38261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.744456388 -0.37343772 +38263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.458155386 -0.37343772 +38262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.533760084 -0.37343772 +38265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.175001415 -0.37343772 +38266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.290029103 -0.37343772 +38264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.719042548 -0.37343772 +38267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.169510691 -0.37343772 +38268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.761567847 -0.37343772 +38269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.510484471 -0.37343772 +38270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.0707134 -0.37343772 +38272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.018476763 -0.37343772 +38274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.2232507 -0.37343772 +38273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.278667771 -0.37343772 +38271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.699837629 -0.37343772 +38275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.431586896 -0.37343772 +38276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.151025214 -0.37343772 +38277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.556654019 -0.37343772 +38278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.286303438 -0.37343772 +38280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.050010628 -0.37343772 +38279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.434618469 -0.37343772 +38281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.524508487 -0.37343772 +38284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.040940551 -0.37343772 +38283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.198306258 -0.37343772 +38282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.776026186 -0.37343772 +38285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.378768073 -0.37343772 +38286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.275845886 -0.37343772 +38287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.193418114 -0.37343772 +38288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.295974788 -0.37343772 +38289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.580368405 -0.37343772 +38290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.686730575 -0.37343772 +38291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.096283644 -0.37343772 +38292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.836044304 -0.37343772 +38293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.315280135 -0.37343772 +38294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.76256191 -0.37343772 +38296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.52697372 -0.37343772 +38298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.43692029 -0.37343772 +38295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.245407516 -0.37343772 +38297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.593067418 -0.37343772 +38299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.475225327 -0.37343772 +38300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.447693332 -0.37343772 +38301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.663735699 -0.37343772 +38302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.029644548 -0.37343772 +38303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.017225538 -0.37343772 +38304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.097361757 -0.37343772 +38305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.614629924 -0.37343772 +38307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.820729634 -0.37343772 +38306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.186248174 -0.37343772 +38308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.52454161 -0.37343772 +38309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.439342294 -0.37343772 +38310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.510143008 -0.37343772 +38311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.739760216 -0.37343772 +38313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 2.95E-04 -0.37343772 +38314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.623746306 -0.37343772 +38312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.196081293 -0.37343772 +38315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.718356326 -0.37343772 +38316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.176280406 -0.37343772 +38317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.381568618 -0.37343772 +38318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.049734588 -0.37343772 +38319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.564410619 -0.37343772 +38321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.436730548 -0.37343772 +38320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.376898842 -0.37343772 +38322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.171727296 -0.37343772 +38323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.521768703 -0.37343772 +38325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.543076202 -0.37343772 +38326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.532077289 -0.37343772 +38327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.100262263 -0.37343772 +38329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.153794455 -0.37343772 +38330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.043895013 -0.37343772 +38328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.573412935 -0.37343772 +38331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.559427698 -0.37343772 +38324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.386109324 -0.37343772 +38333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.543140276 -0.37343772 +38332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.360393025 -0.37343772 +38336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.731051633 -0.37343772 +38334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.517669976 -0.37343772 +38337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.022884308 -0.37343772 +38335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.759534068 -0.37343772 +38339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.009240339 -0.37343772 +38338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.662432954 -0.37343772 +38340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.739249841 -0.37343772 +38342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.757534286 -0.37343772 +38341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.230575466 -0.37343772 +38343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.81930242 -0.37343772 +38344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.080097932 -0.37343772 +38345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.405670036 -0.37343772 +38347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.732015288 -0.37343772 +38348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 6.61E-04 -0.37343772 +38349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.794581436 -0.37343772 +38346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.55934374 -0.37343772 +38350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.059291394 -0.37343772 +38352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.104497136 -0.37343772 +38351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.18780526 -0.37343772 +38353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.278095431 -0.37343772 +38355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.530008099 -0.37343772 +38354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.817218962 -0.37343772 +38356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.639195647 -0.37343772 +38358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.50382512 -0.37343772 +38360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.738993599 -0.37343772 +38359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.050742887 -0.37343772 +38357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.499839961 -0.37343772 +38361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.002302494 -0.37343772 +38362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.379692979 -0.37343772 +38364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.472655626 -0.37343772 +38363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.139740927 -0.37343772 +38365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.313510494 -0.37343772 +38367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.218406709 -0.37343772 +38366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.28422235 -0.37343772 +38369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.15289147 -0.37343772 +38371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.179743007 -0.37343772 +38372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.097979381 -0.37343772 +38368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.270615201 -0.37343772 +38373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.322735688 -0.37343772 +38370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.652019363 -0.37343772 +38374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.599206824 -0.37343772 +38375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.169765105 -0.37343772 +38376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.085084159 -0.37343772 +38377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.047424815 -0.37343772 +38380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.586344611 -0.37343772 +38381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.262295599 -0.37343772 +38378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.787789883 -0.37343772 +38379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.149933536 -0.37343772 +38382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.129336419 -0.37343772 +38383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.05784616 -0.37343772 +38384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.715345836 -0.37343772 +38385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.050977225 -0.37343772 +38386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.757337007 -0.37343772 +38388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.620485781 -0.37343772 +38387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.003625852 -0.37343772 +38389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.060289465 -0.37343772 +38390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.390950016 -0.37343772 +38391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.044746445 -0.37343772 +38394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.110040462 -0.37343772 +38393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.372026606 -0.37343772 +38396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.144456898 -0.37343772 +38392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.714441597 -0.37343772 +38395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.148676532 -0.37343772 +38397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.608251606 -0.37343772 +38399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.519083739 -0.37343772 +38400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.490848963 -0.37343772 +38401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.16033007 -0.37343772 +38402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.083605281 -0.37343772 +38398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.109868017 -0.37343772 +38403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.560002394 -0.37343772 +38404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.538631314 -0.37343772 +38405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.568317933 -0.37343772 +38407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.1378632 -0.37343772 +38409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.007928503 -0.37343772 +38408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.08404019 -0.37343772 +38410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.430780892 -0.37343772 +38412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.670678433 -0.37343772 +38406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.701294425 -0.37343772 +38411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.621705104 -0.37343772 +38413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.096005656 -0.37343772 +38415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.055268356 -0.37343772 +38414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.555517112 -0.37343772 +38416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.033911022 -0.37343772 +38417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.518891801 -0.37343772 +38419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.693695334 -0.37343772 +38418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.718174052 -0.37343772 +38420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.385093345 -0.37343772 +38423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.305539436 -0.37343772 +38422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.063408557 -0.37343772 +38421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.109377229 -0.37343772 +38424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.326839034 -0.37343772 +38425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.029507073 -0.37343772 +38427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.351574145 -0.37343772 +38428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.043200555 -0.37343772 +38426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.455494923 -0.37343772 +38429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.32054677 -0.37343772 +38432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.651674097 -0.37343772 +38431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.435501112 -0.37343772 +38430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.194753206 -0.37343772 +38433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.663961745 -0.37343772 +38436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.730626823 -0.37343772 +38435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.132658115 -0.37343772 +38434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.499292446 -0.37343772 +38437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.004556038 -0.37343772 +38438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.199580403 -0.37343772 +38439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.646586647 -0.37343772 +38441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.705082213 -0.37343772 +38440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.101794545 -0.37343772 +38442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.31408991 -0.37343772 +38444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.025187482 -0.37343772 +38443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.367843425 -0.37343772 +38445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.173061635 -0.37343772 +38446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.769508339 -0.37343772 +38448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.311678505 -0.37343772 +38447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.166456313 -0.37343772 +38452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.76847838 -0.37343772 +38451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.549700289 -0.37343772 +38450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.312717736 -0.37343772 +38449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.542422335 -0.37343772 +38453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.185021606 -0.37343772 +38454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.38526888 -0.37343772 +38455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.281892466 -0.37343772 +38456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.543148048 -0.37343772 +38458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.52598428 -0.37343772 +38459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.524390178 -0.37343772 +38457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.248734519 -0.37343772 +38461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.418027455 -0.37343772 +38460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.229353962 -0.37343772 +38462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.265300955 -0.37343772 +38463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.078889307 -0.37343772 +38465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.704474422 -0.37343772 +38467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.028909439 -0.37343772 +38464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.364902673 -0.37343772 +38468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.282076469 -0.37343772 +38466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.23593072 -0.37343772 +38470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.400071871 -0.37343772 +38471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.632307311 -0.37343772 +38469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.238807381 -0.37343772 +38473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.738248293 -0.37343772 +38472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.067200762 -0.37343772 +38474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.065847961 -0.37343772 +38475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.009419925 -0.37343772 +38476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.523550903 -0.37343772 +38477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.828045698 -0.37343772 +38478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.32347728 -0.37343772 +38481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.827829601 -0.37343772 +38480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.699071745 -0.37343772 +38479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.036138494 -0.37343772 +38483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.723827867 -0.37343772 +38484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.306412719 -0.37343772 +38485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.0757906 -0.37343772 +38482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.73185523 -0.37343772 +38486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.770047877 -0.37343772 +38488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.552188089 -0.37343772 +38487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.102935623 -0.37343772 +38490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.466406081 -0.37343772 +38491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.305817751 -0.37343772 +38489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.655042368 -0.37343772 +38492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.136952121 -0.37343772 +38493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.78479807 -0.37343772 +38494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.032001836 -0.37343772 +38496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.582490411 -0.37343772 +38497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.459228347 -0.37343772 +38498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.558111798 -0.37343772 +38495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.037653332 -0.37343772 +38501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.557596369 -0.37343772 +38500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.742590396 -0.37343772 +38499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.799409797 -0.37343772 +38502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.168480312 -0.37343772 +38503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.023048705 -0.37343772 +38504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.252422104 -0.37343772 +38505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.14592641 -0.37343772 +38508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.211021545 -0.37343772 +38506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.215960088 -0.37343772 +38509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.59358523 -0.37343772 +38510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.10360775 -0.37343772 +38507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.12739125 -0.37343772 +38511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.120565571 -0.37343772 +38512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.01620003 -0.37343772 +38513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.559731497 -0.37343772 +38514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.098423587 -0.37343772 +38515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.195272532 -0.37343772 +38517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.446817382 -0.37343772 +38516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.738127407 -0.37343772 +38518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.58693938 -0.37343772 +38519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.541184166 -0.37343772 +38520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.082305655 -0.37343772 +38521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.090008524 -0.37343772 +38522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.330532679 -0.37343772 +38525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.82204363 -0.37343772 +38523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.433379922 -0.37343772 +38524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.298355315 -0.37343772 +38527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.125610754 -0.37343772 +38526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.036263432 -0.37343772 +38528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.08483699 -0.37343772 +38529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.237531327 -0.37343772 +38530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.553463901 -0.37343772 +38532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.041856221 -0.37343772 +38533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.116450058 -0.37343772 +38535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.785221203 -0.37343772 +38534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.480679125 -0.37343772 +38531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.534212992 -0.37343772 +38536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.181444795 -0.37343772 +38537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.030959963 -0.37343772 +38538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.056302787 -0.37343772 +38541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.429509975 -0.37343772 +38540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.151841973 -0.37343772 +38542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.618477304 -0.37343772 +38539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.080517699 -0.37343772 +38543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.551814341 -0.37343772 +38544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.32779514 -0.37343772 +38545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.029288583 -0.37343772 +38546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.187791054 -0.37343772 +38547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.578784026 -0.37343772 +38548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.263499209 -0.37343772 +38550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.302920037 -0.37343772 +38551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.204278033 -0.37343772 +38549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.218533882 -0.37343772 +38552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.225643244 -0.37343772 +38553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.685182487 -0.37343772 +38554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.437726272 -0.37343772 +38555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.494073176 -0.37343772 +38556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.172392402 -0.37343772 +38558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.440337127 -0.37343772 +38557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.133028195 -0.37343772 +38559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.126060641 -0.37343772 +38561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.566690813 -0.37343772 +38560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.11157317 -0.37343772 +38562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.116824029 -0.37343772 +38563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.958452327 -0.37343772 +38564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.19930361 -0.37343772 +38565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.17819924 -0.37343772 +38566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.438023349 -0.37343772 +38567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.450249326 -0.37343772 +38568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.033102481 -0.37343772 +38570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.570857731 -0.37343772 +38571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.040312597 -0.37343772 +38572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.797243456 -0.37343772 +38569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.082649234 -0.37343772 +38573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.726584381 -0.37343772 +38574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.282062445 -0.37343772 +38575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.284864997 -0.37343772 +38576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.338696419 -0.37343772 +38577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.198626909 -0.37343772 +38578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.092742707 -0.37343772 +38579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.093998659 -0.37343772 +38581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.054445877 -0.37343772 +38580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.64259411 -0.37343772 +38583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.546280234 -0.37343772 +38585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.039804603 -0.37343772 +38584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.268899247 -0.37343772 +38582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.087957222 -0.37343772 +38587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.444896674 -0.37343772 +38586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.601271225 -0.37343772 +38589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.564613334 -0.37343772 +38588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.175055786 -0.37343772 +38590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.917390387 -0.37343772 +38592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.708222435 -0.37343772 +38593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.028690367 -0.37343772 +38591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.622517698 -0.37343772 +38594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.043391494 -0.37343772 +38595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.555438834 -0.37343772 +38596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.624443198 -0.37343772 +38599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.556738295 -0.37343772 +38598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.602264672 -0.37343772 +38601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.406269709 -0.37343772 +38600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.700878679 -0.37343772 +38603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.068952525 -0.37343772 +38602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.41865958 -0.37343772 +38604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.585440961 -0.37343772 +38597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.088443492 -0.37343772 +38605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.004071044 -0.37343772 +38606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.175053279 -0.37343772 +38608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.108721106 -0.37343772 +38607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.719367324 -0.37343772 +38610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.861005859 -0.37343772 +38609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.693106715 -0.37343772 +38612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.380116602 -0.37343772 +38611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.27684011 -0.37343772 +38614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.457739984 -0.37343772 +38613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.124692617 -0.37343772 +38615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.606540573 -0.37343772 +38617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.210883175 -0.37343772 +38616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.341249098 -0.37343772 +38618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.192417702 -0.37343772 +38621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.233283744 -0.37343772 +38622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.031411088 -0.37343772 +38620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.650027085 -0.37343772 +38624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.634653256 -0.37343772 +38625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.068124246 -0.37343772 +38623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.507744964 -0.37343772 +38626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.294643435 -0.37343772 +38619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.355549029 -0.37343772 +38627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.447146805 -0.37343772 +38629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.383981531 -0.37343772 +38628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.80536573 -0.37343772 +38630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.236207155 -0.37343772 +38632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.191081834 -0.37343772 +38633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.03061938 -0.37343772 +38631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.735546566 -0.37343772 +38634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.001575794 -0.37343772 +38636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.172462953 -0.37343772 +38635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.182493608 -0.37343772 +38638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.339589471 -0.37343772 +38637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.425492718 -0.37343772 +38639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.329713273 -0.37343772 +38640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.183515256 -0.37343772 +38641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.568742776 -0.37343772 +38643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.427936726 -0.37343772 +38644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.485378585 -0.37343772 +38642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.569818107 -0.37343772 +38647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.099811895 -0.37343772 +38645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.277148334 -0.37343772 +38648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.75924527 -0.37343772 +38646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.620682712 -0.37343772 +38649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.491472094 -0.37343772 +38650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.86177714 -0.37343772 +38651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.589508942 -0.37343772 +38654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.701224877 -0.37343772 +38653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.869085403 -0.37343772 +38655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.60363195 -0.37343772 +38656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.496812246 -0.37343772 +38657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.131073014 -0.37343772 +38652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.271959797 -0.37343772 +38658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.513274841 -0.37343772 +38661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.439899926 -0.37343772 +38662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.156967761 -0.37343772 +38659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.323967258 -0.37343772 +38660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.713917524 -0.37343772 +38663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.01901072 -0.37343772 +38664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.504740174 -0.37343772 +38666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.701094548 -0.37343772 +38665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.443994764 -0.37343772 +38668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.071820945 -0.37343772 +38670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.667219643 -0.37343772 +38669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.667565373 -0.37343772 +38671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.270298088 -0.37343772 +38667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.229339862 -0.37343772 +38672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.536748107 -0.37343772 +38673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.514960588 -0.37343772 +38674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.451960679 -0.37343772 +38677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.172581375 -0.37343772 +38678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.199052644 -0.37343772 +38679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.035861167 -0.37343772 +38675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.269983437 -0.37343772 +38680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.108814319 -0.37343772 +38676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.178141753 -0.37343772 +38681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.645772658 -0.37343772 +38682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.254467463 -0.37343772 +38683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.774036222 -0.37343772 +38685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.225856187 -0.37343772 +38684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.344733227 -0.37343772 +38686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.529558737 -0.37343772 +38688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.310581357 -0.37343772 +38687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.750218757 -0.37343772 +38689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.749429401 -0.37343772 +38691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.04994502 -0.37343772 +38693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.544809382 -0.37343772 +38694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.518852772 -0.37343772 +38692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.003568026 -0.37343772 +38690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.667566345 -0.37343772 +38696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.139642972 -0.37343772 +38695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.333671998 -0.37343772 +38697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.329439878 -0.37343772 +38698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.623725091 -0.37343772 +38701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.72713512 -0.37343772 +38700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.662909138 -0.37343772 +38699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.094791325 -0.37343772 +38702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.436457027 -0.37343772 +38703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.637888655 -0.37343772 +38704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.629809619 -0.37343772 +38705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.126018249 -0.37343772 +38708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.142857902 -0.37343772 +38709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.495103797 -0.37343772 +38707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.099238405 -0.37343772 +38706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.507749059 -0.37343772 +38712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.572576534 -0.37343772 +38713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.405182233 -0.37343772 +38711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.892241678 -0.37343772 +38710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.263287947 -0.37343772 +38715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.424150365 -0.37343772 +38714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.412635499 -0.37343772 +38716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.320759725 -0.37343772 +38717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.718291955 -0.37343772 +38719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.735945892 -0.37343772 +38718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.640101607 -0.37343772 +38720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.049083633 -0.37343772 +38721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.689044104 -0.37343772 +38722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.609698092 -0.37343772 +38724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.017109387 -0.37343772 +38723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.017289265 -0.37343772 +38725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.801419612 -0.37343772 +38726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.164409979 -0.37343772 +38727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.471836916 -0.37343772 +38730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.520971055 -0.37343772 +38728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.219924645 -0.37343772 +38731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.095837332 -0.37343772 +38732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.071798492 -0.37343772 +38729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.148465948 -0.37343772 +38733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.243781412 -0.37343772 +38734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.248373735 -0.37343772 +38735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.18021089 -0.37343772 +38736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.089857224 -0.37343772 +38738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.358539223 -0.37343772 +38739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.210743214 -0.37343772 +38737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.05799729 -0.37343772 +38741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.326374125 -0.37343772 +38740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.627641888 -0.37343772 +38742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.444308739 -0.37343772 +38743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.292940526 -0.37343772 +38744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.548139961 -0.37343772 +38745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.756841215 -0.37343772 +38746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.266267836 -0.37343772 +38747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.069763384 -0.37343772 +38748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.294712974 -0.37343772 +38750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.33530461 -0.37343772 +38751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.602365417 -0.37343772 +38752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.038791642 -0.37343772 +38753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.800330908 -0.37343772 +38755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.415817561 -0.37343772 +38754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.406804822 -0.37343772 +38749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.453943296 -0.37343772 +38756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.63770108 -0.37343772 +38757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.001451816 -0.37343772 +38758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.100596098 -0.37343772 +38759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.639712002 -0.37343772 +38760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.036163773 -0.37343772 +38761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.58128286 -0.37343772 +38762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.634747636 -0.37343772 +38763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.646543928 -0.37343772 +38764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.498435936 -0.37343772 +38765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.611685977 -0.37343772 +38767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.409247827 -0.37343772 +38766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.196366108 -0.37343772 +38768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.44226091 -0.37343772 +38769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.197187971 -0.37343772 +38770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.37331491 -0.37343772 +38771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.386050706 -0.37343772 +38772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.809683439 -0.37343772 +38773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.165010545 -0.37343772 +38775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.357431235 -0.37343772 +38774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.522342219 -0.37343772 +38776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.377569717 -0.37343772 +38777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.140271193 -0.37343772 +38778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.403014372 -0.37343772 +38779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.013542344 -0.37343772 +38781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.826698195 -0.37343772 +38782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.101699882 -0.37343772 +38783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.251754082 -0.37343772 +38784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.548065988 -0.37343772 +38780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.655962044 -0.37343772 +38786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.075769115 -0.37343772 +38785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.648719179 -0.37343772 +38787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.267975316 -0.37343772 +38789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.447711366 -0.37343772 +38788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.521484015 -0.37343772 +38792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.19662804 -0.37343772 +38791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.373727478 -0.37343772 +38790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.622696631 -0.37343772 +38793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.095874265 -0.37343772 +38794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.162530268 -0.37343772 +38796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.319708722 -0.37343772 +38798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -4.79E-04 -0.37343772 +38799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.390030757 -0.37343772 +38797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.311108179 -0.37343772 +38800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.01540912 -0.37343772 +38795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.422527396 -0.37343772 +38801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.454785015 -0.37343772 +38802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.37211791 -0.37343772 +38803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.221194384 -0.37343772 +38806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.630259043 -0.37343772 +38805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.642508857 -0.37343772 +38807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.299383764 -0.37343772 +38808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.339883128 -0.37343772 +38804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.077326535 -0.37343772 +38809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.566192254 -0.37343772 +38810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.754120467 -0.37343772 +38811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.638027827 -0.37343772 +38812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.376034681 -0.37343772 +38813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.354858353 -0.37343772 +38814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.433077544 -0.37343772 +38816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.471427378 -0.37343772 +38817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.503844924 -0.37343772 +38815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.043759272 -0.37343772 +38818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.033757829 -0.37343772 +38819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.911523895 -0.37343772 +38821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.133996869 -0.37343772 +38820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.716131732 -0.37343772 +38822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.583176987 -0.37343772 +38823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.187948474 -0.37343772 +38824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.294130175 -0.37343772 +38825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.616411597 -0.37343772 +38826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.610206566 -0.37343772 +38828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.614502157 -0.37343772 +38827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.015776055 -0.37343772 +38829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.220582998 -0.37343772 +38830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.070496649 -0.37343772 +38832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.398626725 -0.37343772 +38831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.076651068 -0.37343772 +38833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.638507897 -0.37343772 +38834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.155587186 -0.37343772 +38836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.846711705 -0.37343772 +38835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.502439929 -0.37343772 +38838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.769887782 -0.37343772 +38837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.444840813 -0.37343772 +38840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.300292403 -0.37343772 +38839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.380709892 -0.37343772 +38841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.334664526 -0.37343772 +38844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.058905214 -0.37343772 +38842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.053426629 -0.37343772 +38845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.462141022 -0.37343772 +38846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.013876019 -0.37343772 +38843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.196735514 -0.37343772 +38848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.097898077 -0.37343772 +38847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.103395714 -0.37343772 +38849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.612055241 -0.37343772 +38850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.485861457 -0.37343772 +38851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.099325578 -0.37343772 +38852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.639459553 -0.37343772 +38853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.603749162 -0.37343772 +38854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.228785758 -0.37343772 +38855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.437521567 -0.37343772 +38856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.674608887 -0.37343772 +38857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.525139029 -0.37343772 +38861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.231441421 -0.37343772 +38862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.208163979 -0.37343772 +38863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.351448873 -0.37343772 +38860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.139545743 -0.37343772 +38859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.344571902 -0.37343772 +38864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.037557244 -0.37343772 +38865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.162216173 -0.37343772 +38858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.022924058 -0.37343772 +38866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.215945549 -0.37343772 +38869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.700316362 -0.37343772 +38870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.376344962 -0.37343772 +38867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.460809823 -0.37343772 +38868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.60095116 -0.37343772 +38872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.047055747 -0.37343772 +38871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.394069984 -0.37343772 +38874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.499733996 -0.37343772 +38873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.199633432 -0.37343772 +38876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.589499865 -0.37343772 +38877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.560481427 -0.37343772 +38875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.469044374 -0.37343772 +38879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.094816669 -0.37343772 +38880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.009251966 -0.37343772 +38881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.07249761 -0.37343772 +38878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.04670474 -0.37343772 +38883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.020807996 -0.37343772 +38884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.042628307 -0.37343772 +38885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.435991522 -0.37343772 +38882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.629041955 -0.37343772 +38886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.645990456 -0.37343772 +38887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.217016638 -0.37343772 +38888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.297348002 -0.37343772 +38889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.342095692 -0.37343772 +38890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.418119658 -0.37343772 +38891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.685581447 -0.37343772 +38892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.632289076 -0.37343772 +38893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.516296455 -0.37343772 +38894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.625235267 -0.37343772 +38896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.750710883 -0.37343772 +38898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.278364852 -0.37343772 +38895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.477865635 -0.37343772 +38897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.750856684 -0.37343772 +38899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.290822098 -0.37343772 +38901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.728483639 -0.37343772 +38900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.691281211 -0.37343772 +38902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.420884378 -0.37343772 +38905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.267124943 -0.37343772 +38904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.382494551 -0.37343772 +38906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.220362626 -0.37343772 +38903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.065644036 -0.37343772 +38907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.497853613 -0.37343772 +38909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.78594195 -0.37343772 +38908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.820286404 -0.37343772 +38910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.586157028 -0.37343772 +38911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.038018796 -0.37343772 +38912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.213838909 -0.37343772 +38913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.256118527 -0.37343772 +38914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.625657724 -0.37343772 +38915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.477886121 -0.37343772 +38916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.415799711 -0.37343772 +38918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.271512059 -0.37343772 +38919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.057805925 -0.37343772 +38922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.698502558 -0.37343772 +38917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.82202116 -0.37343772 +38921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.575414552 -0.37343772 +38923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.08133273 -0.37343772 +38920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.043754522 -0.37343772 +38925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.293127997 -0.37343772 +38926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.575618167 -0.37343772 +38924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.723884131 -0.37343772 +38929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.603494399 -0.37343772 +38927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.01851822 -0.37343772 +38928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.183941649 -0.37343772 +38931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.594885474 -0.37343772 +38930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.139055806 -0.37343772 +38932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.513515257 -0.37343772 +38933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.412870226 -0.37343772 +38934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.603940382 -0.37343772 +38936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.100693293 -0.37343772 +38935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.307519734 -0.37343772 +38939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.073146772 -0.37343772 +38938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.421205981 -0.37343772 +38937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.682561639 -0.37343772 +38940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.75799607 -0.37343772 +38941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.595108397 -0.37343772 +38945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.010545829 -0.37343772 +38944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.030296427 -0.37343772 +38943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.570347834 -0.37343772 +38946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.124556669 -0.37343772 +38942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.622671358 -0.37343772 +38947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.006116392 -0.37343772 +38948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.028267376 -0.37343772 +38949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.16330692 -0.37343772 +38951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.562953178 -0.37343772 +38952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.495439797 -0.37343772 +38953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.281173066 -0.37343772 +38950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.238482411 -0.37343772 +38954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.022669408 -0.37343772 +38956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.10311897 -0.37343772 +38957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.774397055 -0.37343772 +38955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.457387352 -0.37343772 +38959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.681439691 -0.37343772 +38958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.59401835 -0.37343772 +38960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.582686895 -0.37343772 +38961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.378957817 -0.37343772 +38962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.500739391 -0.37343772 +38963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.458754885 -0.37343772 +38965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.689474297 -0.37343772 +38966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.418458484 -0.37343772 +38967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.629151528 -0.37343772 +38968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.122459502 -0.37343772 +38969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.084128789 -0.37343772 +38964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.483002948 -0.37343772 +38970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.180239555 -0.37343772 +38971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.080261988 -0.37343772 +38972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.684224897 -0.37343772 +38973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.371388408 -0.37343772 +38974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.217662028 -0.37343772 +38976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.479569032 -0.37343772 +38975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.197125531 -0.37343772 +38978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.102599272 -0.37343772 +38979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.317117565 -0.37343772 +38980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.580820505 -0.37343772 +38977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.737579372 -0.37343772 +38982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.669546659 -0.37343772 +38981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.433164868 -0.37343772 +38984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.066015449 -0.37343772 +38983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.537255447 -0.37343772 +38985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.67258187 -0.37343772 +38986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.249947754 -0.37343772 +38987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.146004764 -0.37343772 +38990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.590202134 -0.37343772 +38989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.117598661 -0.37343772 +38991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.257462036 -0.37343772 +38992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.444797768 -0.37343772 +38988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.302122082 -0.37343772 +38993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 0.029448034 -0.37343772 +38994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.004898899 -0.37343772 +38995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.350542507 -0.37343772 +38997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.2381688 -0.37343772 +38996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.368213637 -0.37343772 +38998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 3.95E-04 -0.37343772 +38999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.657961302 -0.37343772 +39000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.9 10 1 -0.171490532 -0.37343772 +39001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.205369548 -0.37785228 +39002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.217996196 -0.37785228 +39003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.53387353 -0.37785228 +39004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.01196811 -0.37785228 +39005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.546060414 -0.37785228 +39006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.1377173 -0.37785228 +39009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.672092352 -0.37785228 +39010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.202302013 -0.37785228 +39007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.011238812 -0.37785228 +39011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.238580892 -0.37785228 +39008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.222327341 -0.37785228 +39012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.530284047 -0.37785228 +39013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.365050721 -0.37785228 +39014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.227340313 -0.37785228 +39015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.171953128 -0.37785228 +39016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.400403954 -0.37785228 +39017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.850758412 -0.37785228 +39018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.469029541 -0.37785228 +39020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.376248309 -0.37785228 +39019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.424488117 -0.37785228 +39021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.036868171 -0.37785228 +39022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.426639831 -0.37785228 +39025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.686111984 -0.37785228 +39024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.588336978 -0.37785228 +39023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.704544 -0.37785228 +39027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.7836227 -0.37785228 +39026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.330301106 -0.37785228 +39029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.702254098 -0.37785228 +39028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.027575065 -0.37785228 +39030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.35832635 -0.37785228 +39032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.700345543 -0.37785228 +39031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.004640448 -0.37785228 +39033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.550423091 -0.37785228 +39034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.547974924 -0.37785228 +39035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.056119021 -0.37785228 +39038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.598177968 -0.37785228 +39037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.505963642 -0.37785228 +39036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.483817514 -0.37785228 +39040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.500377735 -0.37785228 +39041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.227446806 -0.37785228 +39042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.77952985 -0.37785228 +39043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.350790731 -0.37785228 +39039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.469318689 -0.37785228 +39044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.490039146 -0.37785228 +39047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.080323519 -0.37785228 +39046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.52098776 -0.37785228 +39050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.457185731 -0.37785228 +39049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.042464957 -0.37785228 +39045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.76357271 -0.37785228 +39048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.126054848 -0.37785228 +39051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.128680351 -0.37785228 +39052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.119906281 -0.37785228 +39053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.125252151 -0.37785228 +39054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.640087075 -0.37785228 +39056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.183534039 -0.37785228 +39055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.802402019 -0.37785228 +39058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.104116662 -0.37785228 +39057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.003189794 -0.37785228 +39059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.515488119 -0.37785228 +39060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.072887457 -0.37785228 +39061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.508776078 -0.37785228 +39064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.277380504 -0.37785228 +39062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.465375771 -0.37785228 +39063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.540424309 -0.37785228 +39065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.402099764 -0.37785228 +39067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.265587433 -0.37785228 +39066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.782419604 -0.37785228 +39069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.737712257 -0.37785228 +39068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.698659019 -0.37785228 +39072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.153282108 -0.37785228 +39070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.048083483 -0.37785228 +39073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.018550894 -0.37785228 +39074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.73683972 -0.37785228 +39071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.589925883 -0.37785228 +39075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.496946848 -0.37785228 +39076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.018396406 -0.37785228 +39077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.745955561 -0.37785228 +39078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.309692081 -0.37785228 +39079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.12644909 -0.37785228 +39081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.163441762 -0.37785228 +39080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.044325678 -0.37785228 +39082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.063506269 -0.37785228 +39084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.625658583 -0.37785228 +39085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.338793485 -0.37785228 +39087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.537472238 -0.37785228 +39088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.585964974 -0.37785228 +39083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.687537346 -0.37785228 +39086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.501790427 -0.37785228 +39090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.509173838 -0.37785228 +39089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.129491472 -0.37785228 +39093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.39931057 -0.37785228 +39091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.647198171 -0.37785228 +39095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.432382034 -0.37785228 +39092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.616230081 -0.37785228 +39096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.228660399 -0.37785228 +39094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.592419208 -0.37785228 +39097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.013750723 -0.37785228 +39098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.598530935 -0.37785228 +39099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.813330409 -0.37785228 +39100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.572707257 -0.37785228 +39104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.848376925 -0.37785228 +39102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.176595409 -0.37785228 +39105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.366723209 -0.37785228 +39101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.283025372 -0.37785228 +39103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.198655446 -0.37785228 +39106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.178212193 -0.37785228 +39107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.232841613 -0.37785228 +39108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.264059167 -0.37785228 +39109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.143451811 -0.37785228 +39110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.702659392 -0.37785228 +39111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.844451053 -0.37785228 +39113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.233162888 -0.37785228 +39114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.465223475 -0.37785228 +39112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.010354928 -0.37785228 +39115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.075134094 -0.37785228 +39116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.791162167 -0.37785228 +39118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.480589953 -0.37785228 +39117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.008868778 -0.37785228 +39119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.118678751 -0.37785228 +39120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.206970583 -0.37785228 +39121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.069125659 -0.37785228 +39123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.562786946 -0.37785228 +39122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.276220432 -0.37785228 +39124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.783326953 -0.37785228 +39126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.02746356 -0.37785228 +39125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.043951889 -0.37785228 +39127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.208086703 -0.37785228 +39128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.027996212 -0.37785228 +39129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.445015898 -0.37785228 +39132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.743152323 -0.37785228 +39134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.446340641 -0.37785228 +39133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.635548087 -0.37785228 +39135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.318159058 -0.37785228 +39130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.611394314 -0.37785228 +39131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.714274786 -0.37785228 +39136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.623650714 -0.37785228 +39137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.102939214 -0.37785228 +39138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.603022883 -0.37785228 +39139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.098190268 -0.37785228 +39140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.169196485 -0.37785228 +39141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.755006511 -0.37785228 +39142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.492521383 -0.37785228 +39143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.432423203 -0.37785228 +39144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.042212511 -0.37785228 +39146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.649329349 -0.37785228 +39148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.533950652 -0.37785228 +39145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.269484547 -0.37785228 +39150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.098412773 -0.37785228 +39147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.371520655 -0.37785228 +39149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.584842536 -0.37785228 +39152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.595715394 -0.37785228 +39153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.072829813 -0.37785228 +39155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.380760787 -0.37785228 +39154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.164755356 -0.37785228 +39157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.175703672 -0.37785228 +39156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.186413381 -0.37785228 +39158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.007443537 -0.37785228 +39151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.121526936 -0.37785228 +39159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.738923776 -0.37785228 +39160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.023280974 -0.37785228 +39162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.359528311 -0.37785228 +39161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.398139475 -0.37785228 +39164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.578654775 -0.37785228 +39163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.043909773 -0.37785228 +39165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.551083669 -0.37785228 +39166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.181015439 -0.37785228 +39167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.563609623 -0.37785228 +39168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.20501031 -0.37785228 +39170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.365702699 -0.37785228 +39169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.08037538 -0.37785228 +39171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.042896756 -0.37785228 +39172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.78835365 -0.37785228 +39173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.495563686 -0.37785228 +39175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.545661647 -0.37785228 +39176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.042791036 -0.37785228 +39178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.076891442 -0.37785228 +39177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.517660681 -0.37785228 +39174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.117847872 -0.37785228 +39179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.242832703 -0.37785228 +39180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.270588441 -0.37785228 +39181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.149568029 -0.37785228 +39182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.05669435 -0.37785228 +39183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.583679739 -0.37785228 +39184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.321186815 -0.37785228 +39185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.303457341 -0.37785228 +39187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.589980506 -0.37785228 +39188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.454115576 -0.37785228 +39186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.722476908 -0.37785228 +39189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.221672492 -0.37785228 +39190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.090072574 -0.37785228 +39191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.132510112 -0.37785228 +39192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.708611137 -0.37785228 +39193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.76563258 -0.37785228 +39195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.065406048 -0.37785228 +39194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.629117131 -0.37785228 +39197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.036010421 -0.37785228 +39198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.742979887 -0.37785228 +39196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.281343236 -0.37785228 +39199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.073032901 -0.37785228 +39200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.508259355 -0.37785228 +39201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.345906122 -0.37785228 +39202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.290699009 -0.37785228 +39203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.822445993 -0.37785228 +39204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.080721688 -0.37785228 +39207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.442266682 -0.37785228 +39206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.035828371 -0.37785228 +39208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.391130409 -0.37785228 +39205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.266043494 -0.37785228 +39209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.570593511 -0.37785228 +39210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.464907175 -0.37785228 +39212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.467848799 -0.37785228 +39211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.64687641 -0.37785228 +39213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.485930498 -0.37785228 +39217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.479925531 -0.37785228 +39216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.68512581 -0.37785228 +39215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.394023453 -0.37785228 +39214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.305409217 -0.37785228 +39218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.548657802 -0.37785228 +39220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.748076133 -0.37785228 +39219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.331011667 -0.37785228 +39221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.314548927 -0.37785228 +39222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.655073633 -0.37785228 +39223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.381512692 -0.37785228 +39224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.031092952 -0.37785228 +39226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.800154519 -0.37785228 +39225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.051672509 -0.37785228 +39227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.285125862 -0.37785228 +39228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.009659126 -0.37785228 +39229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.552168531 -0.37785228 +39230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.531314991 -0.37785228 +39231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.067154074 -0.37785228 +39232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.692357187 -0.37785228 +39233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.331944226 -0.37785228 +39234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.61399986 -0.37785228 +39235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.277026246 -0.37785228 +39236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.732781159 -0.37785228 +39237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.785582868 -0.37785228 +39238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.039440355 -0.37785228 +39239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.583039205 -0.37785228 +39240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.240538389 -0.37785228 +39241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.079208303 -0.37785228 +39243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.014223892 -0.37785228 +39244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.173456886 -0.37785228 +39245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.384057453 -0.37785228 +39246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.218168727 -0.37785228 +39242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.216281404 -0.37785228 +39247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.644794986 -0.37785228 +39248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.697513793 -0.37785228 +39249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.267263808 -0.37785228 +39250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.412767744 -0.37785228 +39251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.557410365 -0.37785228 +39252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.091854864 -0.37785228 +39253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.189959431 -0.37785228 +39256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.581894965 -0.37785228 +39254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.291779681 -0.37785228 +39255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.599247412 -0.37785228 +39257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.33005541 -0.37785228 +39258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.058304203 -0.37785228 +39259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.381443705 -0.37785228 +39260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.238679049 -0.37785228 +39261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.324200312 -0.37785228 +39262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.273421838 -0.37785228 +39264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.055823048 -0.37785228 +39265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.269226548 -0.37785228 +39263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.264128023 -0.37785228 +39266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.221396329 -0.37785228 +39267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.35437805 -0.37785228 +39268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.666937368 -0.37785228 +39269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.075541982 -0.37785228 +39270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.00928181 -0.37785228 +39271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.107520443 -0.37785228 +39272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.060204732 -0.37785228 +39273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.789688331 -0.37785228 +39274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.480093708 -0.37785228 +39275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.645031737 -0.37785228 +39276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.374583741 -0.37785228 +39277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.101154268 -0.37785228 +39278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.084047847 -0.37785228 +39279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.541177876 -0.37785228 +39280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.025832902 -0.37785228 +39281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.138038843 -0.37785228 +39282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.397121869 -0.37785228 +39283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.310382938 -0.37785228 +39285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.626802242 -0.37785228 +39284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.294258245 -0.37785228 +39286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.036331416 -0.37785228 +39288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.572604706 -0.37785228 +39287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.035371894 -0.37785228 +39290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.499795416 -0.37785228 +39289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.066376827 -0.37785228 +39293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.569323674 -0.37785228 +39292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.585410714 -0.37785228 +39291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.056631755 -0.37785228 +39294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.083328175 -0.37785228 +39295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.13010001 -0.37785228 +39296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.384669231 -0.37785228 +39297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.32570492 -0.37785228 +39299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.040684744 -0.37785228 +39301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.013601044 -0.37785228 +39300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.001405797 -0.37785228 +39298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.239406584 -0.37785228 +39303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.271262356 -0.37785228 +39302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.27340286 -0.37785228 +39304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.454999313 -0.37785228 +39305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.008690866 -0.37785228 +39306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.115653286 -0.37785228 +39307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.248595972 -0.37785228 +39308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.362719566 -0.37785228 +39309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.052487245 -0.37785228 +39310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.833674562 -0.37785228 +39311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.173378318 -0.37785228 +39312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.438489936 -0.37785228 +39313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.26803849 -0.37785228 +39314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.384704224 -0.37785228 +39316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.117370645 -0.37785228 +39315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.38908416 -0.37785228 +39317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.129202456 -0.37785228 +39319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.618852139 -0.37785228 +39318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.592496092 -0.37785228 +39320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.580638042 -0.37785228 +39321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.470651239 -0.37785228 +39322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.82538437 -0.37785228 +39323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.453051982 -0.37785228 +39324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.507644667 -0.37785228 +39325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.821516957 -0.37785228 +39326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.454924003 -0.37785228 +39327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.168975309 -0.37785228 +39328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.357541632 -0.37785228 +39329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.557196597 -0.37785228 +39330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.291732536 -0.37785228 +39331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.691972832 -0.37785228 +39332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.049261402 -0.37785228 +39334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.760960314 -0.37785228 +39333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.457029925 -0.37785228 +39335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.194297259 -0.37785228 +39336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.532510912 -0.37785228 +39339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.722070895 -0.37785228 +39338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.032687233 -0.37785228 +39337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.479882815 -0.37785228 +39340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.040784002 -0.37785228 +39341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.501702195 -0.37785228 +39343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.038745263 -0.37785228 +39344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.368231615 -0.37785228 +39347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.64861291 -0.37785228 +39346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.14107938 -0.37785228 +39345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.192210073 -0.37785228 +39342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.095299384 -0.37785228 +39348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.581306584 -0.37785228 +39349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.377137644 -0.37785228 +39351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.207688963 -0.37785228 +39350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.441115866 -0.37785228 +39353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.395053383 -0.37785228 +39352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.69429399 -0.37785228 +39354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.289020274 -0.37785228 +39356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.390539962 -0.37785228 +39355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.579878693 -0.37785228 +39357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.790115825 -0.37785228 +39359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.353915441 -0.37785228 +39358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.473727238 -0.37785228 +39361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.822721451 -0.37785228 +39362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.083841532 -0.37785228 +39360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.649668088 -0.37785228 +39363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.273341941 -0.37785228 +39364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.323111605 -0.37785228 +39365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.078459941 -0.37785228 +39367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.043387882 -0.37785228 +39366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.623073928 -0.37785228 +39369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.028792085 -0.37785228 +39370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.102448369 -0.37785228 +39368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.177964549 -0.37785228 +39371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.406541191 -0.37785228 +39372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.395176412 -0.37785228 +39373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.006469794 -0.37785228 +39375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.424677332 -0.37785228 +39374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.698177657 -0.37785228 +39377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.055990917 -0.37785228 +39376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.18690433 -0.37785228 +39378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.663022911 -0.37785228 +39379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.752194684 -0.37785228 +39380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.697550314 -0.37785228 +39381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.037773292 -0.37785228 +39382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.083699094 -0.37785228 +39384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.617419082 -0.37785228 +39383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.739220947 -0.37785228 +39385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.004354588 -0.37785228 +39386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.76580234 -0.37785228 +39387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.232521654 -0.37785228 +39389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.445192973 -0.37785228 +39388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.753861382 -0.37785228 +39393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.067588992 -0.37785228 +39392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.078343049 -0.37785228 +39391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.103752327 -0.37785228 +39390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.731577058 -0.37785228 +39394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.097645957 -0.37785228 +39395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.303831556 -0.37785228 +39396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.732273359 -0.37785228 +39397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.156641129 -0.37785228 +39398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.376411051 -0.37785228 +39399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.033938648 -0.37785228 +39401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.645950751 -0.37785228 +39402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.611152376 -0.37785228 +39400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.097496651 -0.37785228 +39403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.742761871 -0.37785228 +39404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.505883494 -0.37785228 +39406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.740774007 -0.37785228 +39407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.315369116 -0.37785228 +39408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.450056143 -0.37785228 +39410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.620538755 -0.37785228 +39405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.055796719 -0.37785228 +39409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.088925326 -0.37785228 +39411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.758839569 -0.37785228 +39412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.742290694 -0.37785228 +39413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.349834038 -0.37785228 +39414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.579482788 -0.37785228 +39415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.071184043 -0.37785228 +39416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.592610739 -0.37785228 +39417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.253154254 -0.37785228 +39418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.37542881 -0.37785228 +39420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.125154252 -0.37785228 +39419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.610264871 -0.37785228 +39421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.07624301 -0.37785228 +39422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.655945941 -0.37785228 +39423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.646659163 -0.37785228 +39424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.404959059 -0.37785228 +39425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.764230915 -0.37785228 +39426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.145335452 -0.37785228 +39427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.543183868 -0.37785228 +39428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.115196979 -0.37785228 +39430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.538611652 -0.37785228 +39429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.807633935 -0.37785228 +39431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.169812524 -0.37785228 +39432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.061831182 -0.37785228 +39433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.309299047 -0.37785228 +39435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.67633079 -0.37785228 +39434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.47225714 -0.37785228 +39438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.434357877 -0.37785228 +39437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.303312458 -0.37785228 +39439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.765320144 -0.37785228 +39436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.510658684 -0.37785228 +39440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.361039388 -0.37785228 +39441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.715964715 -0.37785228 +39442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.769970928 -0.37785228 +39443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.392571168 -0.37785228 +39444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.301090779 -0.37785228 +39445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.319212758 -0.37785228 +39446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.682911851 -0.37785228 +39448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.083750617 -0.37785228 +39447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.031565999 -0.37785228 +39449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.002084967 -0.37785228 +39450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.319272244 -0.37785228 +39451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.151881343 -0.37785228 +39452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.567727816 -0.37785228 +39453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.003384859 -0.37785228 +39454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.61372493 -0.37785228 +39455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.582044544 -0.37785228 +39456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.835507206 -0.37785228 +39457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.248859745 -0.37785228 +39458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.284441047 -0.37785228 +39459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.30625028 -0.37785228 +39460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.330206439 -0.37785228 +39461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.047829745 -0.37785228 +39462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.611122866 -0.37785228 +39463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.804826785 -0.37785228 +39466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.515731345 -0.37785228 +39465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.754835666 -0.37785228 +39468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.671920257 -0.37785228 +39464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.31378844 -0.37785228 +39467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.125530508 -0.37785228 +39469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.306328409 -0.37785228 +39470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.316099878 -0.37785228 +39471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.865753434 -0.37785228 +39472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.394744889 -0.37785228 +39473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.721021918 -0.37785228 +39474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.006664961 -0.37785228 +39476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.005275178 -0.37785228 +39478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.518237336 -0.37785228 +39475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.749788542 -0.37785228 +39479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.643286044 -0.37785228 +39477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.517352434 -0.37785228 +39480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.334439724 -0.37785228 +39481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.497632253 -0.37785228 +39482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.463368119 -0.37785228 +39484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.253510456 -0.37785228 +39485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.108896014 -0.37785228 +39487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.753375638 -0.37785228 +39486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.05200071 -0.37785228 +39488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.024468179 -0.37785228 +39483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.270850039 -0.37785228 +39490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.792395229 -0.37785228 +39491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.022431273 -0.37785228 +39489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.22330346 -0.37785228 +39492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.166555432 -0.37785228 +39493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.017373088 -0.37785228 +39494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.434656163 -0.37785228 +39496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.394005825 -0.37785228 +39495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.652298516 -0.37785228 +39497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.541399395 -0.37785228 +39499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.763907946 -0.37785228 +39498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.086557279 -0.37785228 +39501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.491374125 -0.37785228 +39500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.143445131 -0.37785228 +39502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.539527836 -0.37785228 +39504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.499411662 -0.37785228 +39503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.502636929 -0.37785228 +39506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.626617956 -0.37785228 +39505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.174072562 -0.37785228 +39509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.256930078 -0.37785228 +39507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.46653878 -0.37785228 +39510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.2284198 -0.37785228 +39508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.1755802 -0.37785228 +39511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.266648779 -0.37785228 +39512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.001645171 -0.37785228 +39513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.677223621 -0.37785228 +39514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.143146602 -0.37785228 +39515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.328563383 -0.37785228 +39516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.105560325 -0.37785228 +39517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.59307754 -0.37785228 +39520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.247255729 -0.37785228 +39518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.260576853 -0.37785228 +39521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.034593428 -0.37785228 +39519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.612864422 -0.37785228 +39522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.292229783 -0.37785228 +39524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.535555591 -0.37785228 +39523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.419974523 -0.37785228 +39525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.046541041 -0.37785228 +39526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.332842694 -0.37785228 +39529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.616204735 -0.37785228 +39530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.057873246 -0.37785228 +39527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.811256593 -0.37785228 +39528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.463904694 -0.37785228 +39531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.129120204 -0.37785228 +39532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.146944734 -0.37785228 +39533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.617695964 -0.37785228 +39534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.277892723 -0.37785228 +39535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.482844902 -0.37785228 +39537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.7061698 -0.37785228 +39540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.351076323 -0.37785228 +39538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.075162145 -0.37785228 +39539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.297495108 -0.37785228 +39536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.605971456 -0.37785228 +39541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.267955515 -0.37785228 +39543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.303904727 -0.37785228 +39542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.302353406 -0.37785228 +39544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.714463725 -0.37785228 +39545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.749574664 -0.37785228 +39547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.675439401 -0.37785228 +39546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.189962401 -0.37785228 +39548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.747434172 -0.37785228 +39549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.148164222 -0.37785228 +39551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.665626503 -0.37785228 +39550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.435877024 -0.37785228 +39552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.071618491 -0.37785228 +39554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.659850455 -0.37785228 +39553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.090008493 -0.37785228 +39556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.523666537 -0.37785228 +39555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.370481589 -0.37785228 +39557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.489126964 -0.37785228 +39558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.12886331 -0.37785228 +39559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.586256722 -0.37785228 +39561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.203536295 -0.37785228 +39562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.069149552 -0.37785228 +39563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.642792602 -0.37785228 +39564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.533363356 -0.37785228 +39560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.360629225 -0.37785228 +39565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.172643816 -0.37785228 +39567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.630515186 -0.37785228 +39566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.035925161 -0.37785228 +39568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.716779844 -0.37785228 +39569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.852836371 -0.37785228 +39570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.714458087 -0.37785228 +39571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.574627809 -0.37785228 +39573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.141263127 -0.37785228 +39572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.110630843 -0.37785228 +39574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.575727322 -0.37785228 +39575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.099605266 -0.37785228 +39578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.560094609 -0.37785228 +39576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.321893652 -0.37785228 +39577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.585729809 -0.37785228 +39579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.129247824 -0.37785228 +39580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.594348868 -0.37785228 +39581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.6774988 -0.37785228 +39582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.133637173 -0.37785228 +39583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.539116526 -0.37785228 +39585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.623453601 -0.37785228 +39586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.307332525 -0.37785228 +39584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.424190955 -0.37785228 +39588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.232656962 -0.37785228 +39587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.040392758 -0.37785228 +39589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.268782274 -0.37785228 +39592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.734586604 -0.37785228 +39593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.158980186 -0.37785228 +39590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.583080316 -0.37785228 +39591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.568184303 -0.37785228 +39594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.535961282 -0.37785228 +39596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.084317155 -0.37785228 +39595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.449982233 -0.37785228 +39597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.730963775 -0.37785228 +39599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.053163016 -0.37785228 +39600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.04254708 -0.37785228 +39601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.536442366 -0.37785228 +39598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.345820439 -0.37785228 +39602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.289251753 -0.37785228 +39603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.140077654 -0.37785228 +39604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.021427232 -0.37785228 +39606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.27034536 -0.37785228 +39605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.263622678 -0.37785228 +39608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.581614769 -0.37785228 +39610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.31012167 -0.37785228 +39609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.516423206 -0.37785228 +39607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.0032249 -0.37785228 +39612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.088145787 -0.37785228 +39611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.012588466 -0.37785228 +39613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.742392472 -0.37785228 +39616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.657721433 -0.37785228 +39617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.814771815 -0.37785228 +39615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.748216901 -0.37785228 +39618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.35038484 -0.37785228 +39620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.203586103 -0.37785228 +39619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.548870567 -0.37785228 +39614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.5449306 -0.37785228 +39621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.233036383 -0.37785228 +39623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.052389685 -0.37785228 +39622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.60281651 -0.37785228 +39624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.003777209 -0.37785228 +39627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.411603093 -0.37785228 +39625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.744501731 -0.37785228 +39626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.103600789 -0.37785228 +39628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.590980942 -0.37785228 +39629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.541671381 -0.37785228 +39630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.5663323 -0.37785228 +39631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.626806772 -0.37785228 +39632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.406601735 -0.37785228 +39634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.403239938 -0.37785228 +39635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.370119341 -0.37785228 +39633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.25731157 -0.37785228 +39637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.218560036 -0.37785228 +39638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.508777876 -0.37785228 +39636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.592292257 -0.37785228 +39640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.386768962 -0.37785228 +39639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.308058788 -0.37785228 +39643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.65346638 -0.37785228 +39642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.161547924 -0.37785228 +39641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.571137978 -0.37785228 +39644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.709357076 -0.37785228 +39645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.192043537 -0.37785228 +39646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.190224828 -0.37785228 +39647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.16072058 -0.37785228 +39648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.462007434 -0.37785228 +39651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.501656216 -0.37785228 +39650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.754049383 -0.37785228 +39649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.180460058 -0.37785228 +39652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.37820953 -0.37785228 +39653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -2.74E-05 -0.37785228 +39654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.178925482 -0.37785228 +39657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.021664016 -0.37785228 +39655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.126236006 -0.37785228 +39658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.335825248 -0.37785228 +39656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.720788368 -0.37785228 +39659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.255752892 -0.37785228 +39660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.018452585 -0.37785228 +39661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.743654415 -0.37785228 +39664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.569824259 -0.37785228 +39663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.314179709 -0.37785228 +39666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.496743349 -0.37785228 +39662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.348800028 -0.37785228 +39665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.551064611 -0.37785228 +39667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.202767512 -0.37785228 +39668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.184486686 -0.37785228 +39669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.576167855 -0.37785228 +39671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.271859692 -0.37785228 +39670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.830231124 -0.37785228 +39672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.499466343 -0.37785228 +39674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.367569376 -0.37785228 +39676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.12689952 -0.37785228 +39673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.404630328 -0.37785228 +39675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.496129401 -0.37785228 +39677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.28125963 -0.37785228 +39679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.306975534 -0.37785228 +39678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.649867975 -0.37785228 +39681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.06862532 -0.37785228 +39682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.53413275 -0.37785228 +39680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.560191177 -0.37785228 +39684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.866571874 -0.37785228 +39685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.227848935 -0.37785228 +39683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.06185488 -0.37785228 +39686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.727844478 -0.37785228 +39687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.093194345 -0.37785228 +39690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.024466818 -0.37785228 +39688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.64523051 -0.37785228 +39689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.780166298 -0.37785228 +39691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.444570842 -0.37785228 +39692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.343722032 -0.37785228 +39693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.421939443 -0.37785228 +39694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.091223909 -0.37785228 +39695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.166847315 -0.37785228 +39697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.179038787 -0.37785228 +39696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.10454415 -0.37785228 +39698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.117963514 -0.37785228 +39699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.46064262 -0.37785228 +39700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.322648961 -0.37785228 +39702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.633752894 -0.37785228 +39703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.44313563 -0.37785228 +39705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.210663224 -0.37785228 +39704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.009201287 -0.37785228 +39701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.673948975 -0.37785228 +39706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.44237216 -0.37785228 +39707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.775692665 -0.37785228 +39708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.648305833 -0.37785228 +39710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.050667553 -0.37785228 +39711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.061564009 -0.37785228 +39709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.734515556 -0.37785228 +39714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.016558786 -0.37785228 +39713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.708833998 -0.37785228 +39712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.115268415 -0.37785228 +39716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.1836387 -0.37785228 +39715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.484505877 -0.37785228 +39717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.39125817 -0.37785228 +39719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.243117397 -0.37785228 +39720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.035014704 -0.37785228 +39722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.477015876 -0.37785228 +39718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.56802198 -0.37785228 +39723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.175012595 -0.37785228 +39724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.662609498 -0.37785228 +39721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.160948131 -0.37785228 +39727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.367017965 -0.37785228 +39729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.124307072 -0.37785228 +39730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.378448556 -0.37785228 +39725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.386627766 -0.37785228 +39726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.616290156 -0.37785228 +39728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.609433415 -0.37785228 +39731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.477032972 -0.37785228 +39732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.559866429 -0.37785228 +39733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.454818956 -0.37785228 +39737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.33796175 -0.37785228 +39738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.577027829 -0.37785228 +39735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.252424489 -0.37785228 +39736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.416748367 -0.37785228 +39734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.255439324 -0.37785228 +39739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.130874226 -0.37785228 +39740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.67402214 -0.37785228 +39742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.060385259 -0.37785228 +39741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.427094021 -0.37785228 +39745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.366083169 -0.37785228 +39744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.455359721 -0.37785228 +39743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.689678271 -0.37785228 +39746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.135594666 -0.37785228 +39747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.262829477 -0.37785228 +39750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.33734497 -0.37785228 +39749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.74986477 -0.37785228 +39752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.31559973 -0.37785228 +39754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.531102233 -0.37785228 +39751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.345223464 -0.37785228 +39753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.277486827 -0.37785228 +39755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.68000826 -0.37785228 +39748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.411012252 -0.37785228 +39757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.214950273 -0.37785228 +39756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.671825006 -0.37785228 +39758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.668337639 -0.37785228 +39760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.645775456 -0.37785228 +39761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.139877319 -0.37785228 +39759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.415182142 -0.37785228 +39763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.798328678 -0.37785228 +39762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.480064196 -0.37785228 +39764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.183241917 -0.37785228 +39765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.577835866 -0.37785228 +39766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.714299472 -0.37785228 +39768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.441872546 -0.37785228 +39769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.496912022 -0.37785228 +39767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.368008968 -0.37785228 +39771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.049563585 -0.37785228 +39772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.050153893 -0.37785228 +39773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.740600105 -0.37785228 +39774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.612491139 -0.37785228 +39775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.336669422 -0.37785228 +39776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.321891546 -0.37785228 +39770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.192291609 -0.37785228 +39777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.762085904 -0.37785228 +39778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.064248502 -0.37785228 +39779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.100006172 -0.37785228 +39780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.471661642 -0.37785228 +39782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.128598079 -0.37785228 +39783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.083927768 -0.37785228 +39781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.045970724 -0.37785228 +39785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.267362435 -0.37785228 +39786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.117415501 -0.37785228 +39784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.359913168 -0.37785228 +39787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.547640493 -0.37785228 +39788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.032634746 -0.37785228 +39789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.109172999 -0.37785228 +39790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.066052724 -0.37785228 +39791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.112790777 -0.37785228 +39792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.368790052 -0.37785228 +39793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.132572732 -0.37785228 +39795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.542538531 -0.37785228 +39796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.522724208 -0.37785228 +39794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.853932346 -0.37785228 +39798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.093744178 -0.37785228 +39797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.128091268 -0.37785228 +39799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.668629171 -0.37785228 +39801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.800008861 -0.37785228 +39800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.378379275 -0.37785228 +39805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.090900834 -0.37785228 +39802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.801629799 -0.37785228 +39806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.047323169 -0.37785228 +39804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.26955591 -0.37785228 +39807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.071119184 -0.37785228 +39803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.685771999 -0.37785228 +39808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.090634775 -0.37785228 +39809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.099804102 -0.37785228 +39810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.603110022 -0.37785228 +39811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.027039696 -0.37785228 +39812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.402678865 -0.37785228 +39814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.208988704 -0.37785228 +39813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.734850963 -0.37785228 +39815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.543990878 -0.37785228 +39816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.482780466 -0.37785228 +39817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.31890999 -0.37785228 +39819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.103591611 -0.37785228 +39818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.532973881 -0.37785228 +39820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.811564119 -0.37785228 +39823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.652713634 -0.37785228 +39822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.535472474 -0.37785228 +39824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.58663309 -0.37785228 +39821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.476500221 -0.37785228 +39825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.35464556 -0.37785228 +39827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.68388591 -0.37785228 +39826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.246534122 -0.37785228 +39828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.520311231 -0.37785228 +39829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.558489969 -0.37785228 +39832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.816470908 -0.37785228 +39830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.160037633 -0.37785228 +39835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.525090399 -0.37785228 +39831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.587146359 -0.37785228 +39834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.467900219 -0.37785228 +39833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.207046223 -0.37785228 +39836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.4149263 -0.37785228 +39837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.099992245 -0.37785228 +39838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.751522344 -0.37785228 +39841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.169788384 -0.37785228 +39840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.574608092 -0.37785228 +39843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.670446958 -0.37785228 +39839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.43747116 -0.37785228 +39842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.636082297 -0.37785228 +39844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.752943461 -0.37785228 +39846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.545943925 -0.37785228 +39847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.693709091 -0.37785228 +39848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.129472801 -0.37785228 +39849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.6533329 -0.37785228 +39851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.411755182 -0.37785228 +39850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.321567928 -0.37785228 +39845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.2026119 -0.37785228 +39852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.205925478 -0.37785228 +39854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.009220626 -0.37785228 +39853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.480397563 -0.37785228 +39856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.636310916 -0.37785228 +39857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.723909167 -0.37785228 +39855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.441751163 -0.37785228 +39859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.494190677 -0.37785228 +39858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.526948487 -0.37785228 +39860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.614817067 -0.37785228 +39861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.241770221 -0.37785228 +39862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.27336828 -0.37785228 +39863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.785383868 -0.37785228 +39864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.120026576 -0.37785228 +39865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.097672232 -0.37785228 +39866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.501115374 -0.37785228 +39867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.165792528 -0.37785228 +39868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.14925243 -0.37785228 +39869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.798715739 -0.37785228 +39870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.235563146 -0.37785228 +39872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.744029608 -0.37785228 +39873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.519193785 -0.37785228 +39871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.441481095 -0.37785228 +39874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.045480062 -0.37785228 +39876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.289827913 -0.37785228 +39877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.74739998 -0.37785228 +39875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.019814668 -0.37785228 +39881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.645012447 -0.37785228 +39879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.801644754 -0.37785228 +39880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.740730418 -0.37785228 +39882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.525631413 -0.37785228 +39878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.406386685 -0.37785228 +39883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.69858419 -0.37785228 +39884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.095198066 -0.37785228 +39885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.580706251 -0.37785228 +39886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.02570983 -0.37785228 +39887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.606095133 -0.37785228 +39888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.101698658 -0.37785228 +39889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.538861496 -0.37785228 +39890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.215325383 -0.37785228 +39891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.001049569 -0.37785228 +39892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.041677914 -0.37785228 +39895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.67829105 -0.37785228 +39893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.281451244 -0.37785228 +39896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.242057865 -0.37785228 +39897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.254478241 -0.37785228 +39898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.296534625 -0.37785228 +39894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.055655518 -0.37785228 +39900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.806702104 -0.37785228 +39901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.055416985 -0.37785228 +39899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.101012058 -0.37785228 +39903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.681999078 -0.37785228 +39904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.781877617 -0.37785228 +39905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.354566836 -0.37785228 +39902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.489762393 -0.37785228 +39906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.255785127 -0.37785228 +39908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.669076428 -0.37785228 +39909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.14590869 -0.37785228 +39907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.457590445 -0.37785228 +39911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.362030887 -0.37785228 +39912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.55683047 -0.37785228 +39910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.48334454 -0.37785228 +39913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.593477614 -0.37785228 +39914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.597126294 -0.37785228 +39915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.066287182 -0.37785228 +39916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.39576595 -0.37785228 +39917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.81419211 -0.37785228 +39918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.550110746 -0.37785228 +39920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.365142804 -0.37785228 +39919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.579799251 -0.37785228 +39922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.455370907 -0.37785228 +39921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.034112471 -0.37785228 +39923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.627751249 -0.37785228 +39924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.692441453 -0.37785228 +39926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.220712975 -0.37785228 +39927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.068868193 -0.37785228 +39925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.675288904 -0.37785228 +39928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.046774704 -0.37785228 +39929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.438456039 -0.37785228 +39931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.655451649 -0.37785228 +39930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.14884328 -0.37785228 +39932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.228906779 -0.37785228 +39933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.349095231 -0.37785228 +39935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.033211085 -0.37785228 +39934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.158284364 -0.37785228 +39936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.395021653 -0.37785228 +39937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.366980572 -0.37785228 +39938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.722561343 -0.37785228 +39939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.347648319 -0.37785228 +39942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.53970068 -0.37785228 +39943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.111882113 -0.37785228 +39940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.084276009 -0.37785228 +39941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.587878884 -0.37785228 +39944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.530962742 -0.37785228 +39945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.315199742 -0.37785228 +39946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.562716727 -0.37785228 +39949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.619876422 -0.37785228 +39948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.367511578 -0.37785228 +39950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.74449179 -0.37785228 +39952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.293730677 -0.37785228 +39951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.407987112 -0.37785228 +39947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.390830987 -0.37785228 +39953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.548947593 -0.37785228 +39955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.803525862 -0.37785228 +39954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.188362283 -0.37785228 +39956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.482881216 -0.37785228 +39959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.207434319 -0.37785228 +39957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.240265618 -0.37785228 +39960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.248725362 -0.37785228 +39958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.54949221 -0.37785228 +39961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.431955593 -0.37785228 +39963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.251995824 -0.37785228 +39965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.081818817 -0.37785228 +39964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.711073274 -0.37785228 +39966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.638800701 -0.37785228 +39962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.646780302 -0.37785228 +39968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.69820747 -0.37785228 +39967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.570091333 -0.37785228 +39969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.328046118 -0.37785228 +39970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.097575003 -0.37785228 +39971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.303812046 -0.37785228 +39972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.754502279 -0.37785228 +39973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.066109654 -0.37785228 +39974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.305611861 -0.37785228 +39975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.190993203 -0.37785228 +39976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.243191879 -0.37785228 +39979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.452446284 -0.37785228 +39977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.802989041 -0.37785228 +39980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.701056351 -0.37785228 +39978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.046113659 -0.37785228 +39982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.817882544 -0.37785228 +39981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.69613195 -0.37785228 +39983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.457717764 -0.37785228 +39985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.680133469 -0.37785228 +39988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.273164283 -0.37785228 +39986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.271980598 -0.37785228 +39990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.743090798 -0.37785228 +39989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.503204313 -0.37785228 +39987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.0299093 -0.37785228 +39984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.811084183 -0.37785228 +39992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.004416748 -0.37785228 +39993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.540348283 -0.37785228 +39996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -1.80E-05 -0.37785228 +39991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.048663834 -0.37785228 +39994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.279410546 -0.37785228 +39997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.177696012 -0.37785228 +39995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.053732543 -0.37785228 +39998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.061554735 -0.37785228 +40000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 0.085360655 -0.37785228 +39999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 0.95 10 1 -0.6019299 -0.37785228 +40003 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.287284623 -0.374760453 +40001 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.017986874 -0.374760453 +40002 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.451697666 -0.374760453 +40005 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.037930546 -0.374760453 +40006 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.389581229 -0.374760453 +40004 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.658822845 -0.374760453 +40007 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.43930685 -0.374760453 +40010 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.04042486 -0.374760453 +40009 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.210654115 -0.374760453 +40011 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.150956636 -0.374760453 +40012 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.447798651 -0.374760453 +40008 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.675810876 -0.374760453 +40013 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.135805787 -0.374760453 +40014 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.145747607 -0.374760453 +40016 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.16651403 -0.374760453 +40017 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.269343587 -0.374760453 +40019 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.879918225 -0.374760453 +40015 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.052342995 -0.374760453 +40020 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.021576188 -0.374760453 +40018 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.191703452 -0.374760453 +40021 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.4972148 -0.374760453 +40022 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.346472234 -0.374760453 +40023 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.335121635 -0.374760453 +40025 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.687981776 -0.374760453 +40026 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.680061966 -0.374760453 +40027 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.487592633 -0.374760453 +40024 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.087091533 -0.374760453 +40028 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.042028223 -0.374760453 +40030 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -5.30E-05 -0.374760453 +40031 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.217816256 -0.374760453 +40029 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.023380274 -0.374760453 +40032 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.58709154 -0.374760453 +40033 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.541475597 -0.374760453 +40035 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.026926986 -0.374760453 +40034 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.207377135 -0.374760453 +40037 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.137947216 -0.374760453 +40036 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.199057074 -0.374760453 +40038 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.044305 -0.374760453 +40041 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.624178345 -0.374760453 +40040 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.3896003 -0.374760453 +40039 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.616190245 -0.374760453 +40043 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.650693096 -0.374760453 +40042 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.30856069 -0.374760453 +40044 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.144396216 -0.374760453 +40045 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.456628537 -0.374760453 +40047 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.215899746 -0.374760453 +40046 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.497867384 -0.374760453 +40048 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.404989991 -0.374760453 +40050 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.004244328 -0.374760453 +40051 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.089123257 -0.374760453 +40052 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.003646358 -0.374760453 +40053 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.83220568 -0.374760453 +40049 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.579873211 -0.374760453 +40054 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.141143254 -0.374760453 +40055 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.152621542 -0.374760453 +40056 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.702847675 -0.374760453 +40057 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.26078055 -0.374760453 +40059 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.394316036 -0.374760453 +40058 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.331278374 -0.374760453 +40060 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.206706541 -0.374760453 +40062 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.339802836 -0.374760453 +40061 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.608718144 -0.374760453 +40064 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.133056767 -0.374760453 +40065 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.128645939 -0.374760453 +40066 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.495343571 -0.374760453 +40063 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.087509695 -0.374760453 +40068 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -3.26E-04 -0.374760453 +40069 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.073601969 -0.374760453 +40070 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.343129308 -0.374760453 +40067 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.219775805 -0.374760453 +40071 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.090256212 -0.374760453 +40072 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.588142363 -0.374760453 +40073 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.04390205 -0.374760453 +40074 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.685205435 -0.374760453 +40075 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.213773101 -0.374760453 +40077 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.790709243 -0.374760453 +40078 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.131873263 -0.374760453 +40079 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.307247437 -0.374760453 +40080 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.127243695 -0.374760453 +40076 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.582307348 -0.374760453 +40081 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.033554264 -0.374760453 +40082 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.078849849 -0.374760453 +40083 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.25687946 -0.374760453 +40084 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.847101587 -0.374760453 +40086 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.724548288 -0.374760453 +40087 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.334767178 -0.374760453 +40088 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.598651477 -0.374760453 +40085 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.013647271 -0.374760453 +40089 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.287292942 -0.374760453 +40090 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.032156518 -0.374760453 +40091 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.017400964 -0.374760453 +40092 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.381359106 -0.374760453 +40093 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.787871218 -0.374760453 +40094 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.831559491 -0.374760453 +40096 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.605586756 -0.374760453 +40097 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.300923995 -0.374760453 +40098 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.526726932 -0.374760453 +40095 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.683569776 -0.374760453 +40100 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.699917137 -0.374760453 +40101 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.581489311 -0.374760453 +40102 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.502941112 -0.374760453 +40099 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.472000748 -0.374760453 +40103 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.356995124 -0.374760453 +40105 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.141175273 -0.374760453 +40104 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.335341066 -0.374760453 +40106 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.01005061 -0.374760453 +40108 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.698626372 -0.374760453 +40110 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.433018301 -0.374760453 +40107 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.422639488 -0.374760453 +40109 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.673173722 -0.374760453 +40112 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.579949004 -0.374760453 +40113 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.527776903 -0.374760453 +40111 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.553765195 -0.374760453 +40116 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.089706968 -0.374760453 +40117 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.020203748 -0.374760453 +40115 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.613440602 -0.374760453 +40118 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.688036304 -0.374760453 +40114 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.066134925 -0.374760453 +40119 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.488786675 -0.374760453 +40121 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.206355835 -0.374760453 +40120 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.473663732 -0.374760453 +40122 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.53751653 -0.374760453 +40123 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.221206101 -0.374760453 +40124 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.727348281 -0.374760453 +40126 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.536505517 -0.374760453 +40125 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.599929923 -0.374760453 +40127 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.688314809 -0.374760453 +40128 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.116355539 -0.374760453 +40130 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.455526347 -0.374760453 +40132 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.014142408 -0.374760453 +40129 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.279309932 -0.374760453 +40131 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.435341214 -0.374760453 +40134 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.526063961 -0.374760453 +40136 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.83895769 -0.374760453 +40133 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.046131308 -0.374760453 +40135 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.60747154 -0.374760453 +40139 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.002529699 -0.374760453 +40140 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.435395837 -0.374760453 +40138 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.75912319 -0.374760453 +40141 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.099047807 -0.374760453 +40137 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.124874907 -0.374760453 +40142 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.598742411 -0.374760453 +40143 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.464504177 -0.374760453 +40144 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.741776211 -0.374760453 +40147 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.345620744 -0.374760453 +40148 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.544761399 -0.374760453 +40146 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.573064715 -0.374760453 +40149 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.470995209 -0.374760453 +40145 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.480573505 -0.374760453 +40150 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.009283723 -0.374760453 +40152 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.437577476 -0.374760453 +40151 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.460512153 -0.374760453 +40154 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.151985253 -0.374760453 +40153 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.22441349 -0.374760453 +40155 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.233742402 -0.374760453 +40156 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.286898777 -0.374760453 +40157 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.01563674 -0.374760453 +40158 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.594876629 -0.374760453 +40159 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.105062116 -0.374760453 +40160 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.596332711 -0.374760453 +40163 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.60569471 -0.374760453 +40162 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.173837041 -0.374760453 +40161 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.312063357 -0.374760453 +40164 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.283444808 -0.374760453 +40165 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.024601815 -0.374760453 +40166 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.197334311 -0.374760453 +40167 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.347556695 -0.374760453 +40168 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.621154849 -0.374760453 +40171 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.291525011 -0.374760453 +40170 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.43267244 -0.374760453 +40169 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.767575364 -0.374760453 +40172 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.694888062 -0.374760453 +40173 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.400140963 -0.374760453 +40174 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.399862985 -0.374760453 +40175 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.507662966 -0.374760453 +40177 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.769874489 -0.374760453 +40178 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.635778623 -0.374760453 +40176 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.425614932 -0.374760453 +40180 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.281748529 -0.374760453 +40179 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.775663356 -0.374760453 +40181 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.483295049 -0.374760453 +40182 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.650003832 -0.374760453 +40184 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.042704721 -0.374760453 +40185 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.169224555 -0.374760453 +40186 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.482301031 -0.374760453 +40183 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.658998241 -0.374760453 +40188 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.309634822 -0.374760453 +40187 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.449137563 -0.374760453 +40189 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.288124387 -0.374760453 +40190 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.644090052 -0.374760453 +40191 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.443727837 -0.374760453 +40192 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.648767352 -0.374760453 +40194 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.121637073 -0.374760453 +40195 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.371183231 -0.374760453 +40196 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.334829449 -0.374760453 +40197 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.152191323 -0.374760453 +40193 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.481645142 -0.374760453 +40199 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.07141644 -0.374760453 +40198 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.573646436 -0.374760453 +40200 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.605917133 -0.374760453 +40202 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.331869168 -0.374760453 +40204 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.012950449 -0.374760453 +40203 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.743917839 -0.374760453 +40201 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.709874771 -0.374760453 +40205 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.387559014 -0.374760453 +40206 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.513473013 -0.374760453 +40207 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.061125813 -0.374760453 +40208 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.444132847 -0.374760453 +40209 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.219524568 -0.374760453 +40210 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.034270908 -0.374760453 +40211 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.224109635 -0.374760453 +40212 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.047880338 -0.374760453 +40213 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.041702888 -0.374760453 +40214 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.481774127 -0.374760453 +40215 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.668471842 -0.374760453 +40216 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.722823419 -0.374760453 +40217 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.695572821 -0.374760453 +40218 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.574834727 -0.374760453 +40219 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.386572774 -0.374760453 +40220 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.116710668 -0.374760453 +40222 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.635404331 -0.374760453 +40221 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.623680289 -0.374760453 +40223 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.038243283 -0.374760453 +40224 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.112723364 -0.374760453 +40225 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.01796174 -0.374760453 +40226 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.055085433 -0.374760453 +40228 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.007049662 -0.374760453 +40227 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.677023272 -0.374760453 +40229 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.631091787 -0.374760453 +40231 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.681772529 -0.374760453 +40233 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.170047918 -0.374760453 +40234 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.042971416 -0.374760453 +40232 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.220425499 -0.374760453 +40230 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.675825359 -0.374760453 +40235 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.709041258 -0.374760453 +40236 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.012986355 -0.374760453 +40237 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.793069072 -0.374760453 +40238 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.594614812 -0.374760453 +40239 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.184761875 -0.374760453 +40241 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.137981091 -0.374760453 +40240 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.290691347 -0.374760453 +40242 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.169580313 -0.374760453 +40244 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.292552398 -0.374760453 +40246 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.271401397 -0.374760453 +40245 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.009315731 -0.374760453 +40243 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.197153695 -0.374760453 +40247 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.034151683 -0.374760453 +40248 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.452837943 -0.374760453 +40249 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.759027471 -0.374760453 +40251 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.417681838 -0.374760453 +40250 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.35146056 -0.374760453 +40252 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.552703027 -0.374760453 +40253 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.05399156 -0.374760453 +40254 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.153098618 -0.374760453 +40255 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.650641849 -0.374760453 +40257 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.483175868 -0.374760453 +40256 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.521950069 -0.374760453 +40258 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.018054523 -0.374760453 +40260 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.580002167 -0.374760453 +40259 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.560373568 -0.374760453 +40261 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.684763527 -0.374760453 +40263 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.16486773 -0.374760453 +40262 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.14327595 -0.374760453 +40264 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.010142582 -0.374760453 +40265 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.210024414 -0.374760453 +40266 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.436601187 -0.374760453 +40267 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.499816382 -0.374760453 +40269 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.010605679 -0.374760453 +40268 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.857656179 -0.374760453 +40270 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.366673402 -0.374760453 +40271 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.658353581 -0.374760453 +40272 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.327184058 -0.374760453 +40274 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.781398192 -0.374760453 +40273 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.811856285 -0.374760453 +40275 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.722740312 -0.374760453 +40276 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.818083617 -0.374760453 +40278 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.054016318 -0.374760453 +40279 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.231008422 -0.374760453 +40277 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.465071714 -0.374760453 +40282 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.165069516 -0.374760453 +40281 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.660333083 -0.374760453 +40283 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.247910802 -0.374760453 +40284 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.251355268 -0.374760453 +40280 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.40665251 -0.374760453 +40286 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.757586436 -0.374760453 +40285 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.523562254 -0.374760453 +40289 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.099266385 -0.374760453 +40287 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.745396841 -0.374760453 +40292 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.301404439 -0.374760453 +40291 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.753628461 -0.374760453 +40290 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.048446423 -0.374760453 +40288 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.59163819 -0.374760453 +40294 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.507052256 -0.374760453 +40293 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.268303771 -0.374760453 +40295 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.807616152 -0.374760453 +40299 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.314561505 -0.374760453 +40298 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.025543241 -0.374760453 +40300 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.17768168 -0.374760453 +40296 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.200477666 -0.374760453 +40297 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.681369124 -0.374760453 +40301 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.0045961 -0.374760453 +40302 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.816736718 -0.374760453 +40303 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.414585641 -0.374760453 +40306 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.463318704 -0.374760453 +40304 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.355711071 -0.374760453 +40305 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.223021856 -0.374760453 +40307 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.222828199 -0.374760453 +40308 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.519383329 -0.374760453 +40310 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.409090203 -0.374760453 +40311 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.560488002 -0.374760453 +40313 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.097839643 -0.374760453 +40309 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.222585363 -0.374760453 +40314 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.686625903 -0.374760453 +40316 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.614645933 -0.374760453 +40312 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.493865103 -0.374760453 +40315 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.480465534 -0.374760453 +40317 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.009824607 -0.374760453 +40320 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.102349606 -0.374760453 +40318 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.319377782 -0.374760453 +40319 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.595185176 -0.374760453 +40321 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.469249066 -0.374760453 +40323 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.423614072 -0.374760453 +40322 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.620172898 -0.374760453 +40325 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.00272509 -0.374760453 +40324 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.344466261 -0.374760453 +40327 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.279026974 -0.374760453 +40326 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.300397742 -0.374760453 +40328 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.23704531 -0.374760453 +40329 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.362521487 -0.374760453 +40330 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.632356031 -0.374760453 +40331 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.202733752 -0.374760453 +40332 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.553120963 -0.374760453 +40333 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.73290581 -0.374760453 +40334 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.104893684 -0.374760453 +40335 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.600926217 -0.374760453 +40336 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.285155268 -0.374760453 +40337 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.40000563 -0.374760453 +40339 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.479207364 -0.374760453 +40338 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.230541098 -0.374760453 +40340 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.771746226 -0.374760453 +40342 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.510170142 -0.374760453 +40343 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.769980408 -0.374760453 +40341 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.142082679 -0.374760453 +40344 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.294134356 -0.374760453 +40345 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.038813872 -0.374760453 +40346 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.449647846 -0.374760453 +40347 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.309489549 -0.374760453 +40348 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.653434673 -0.374760453 +40349 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.417992454 -0.374760453 +40352 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.066314435 -0.374760453 +40353 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.069499643 -0.374760453 +40350 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.300342552 -0.374760453 +40351 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.361344142 -0.374760453 +40354 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.005776849 -0.374760453 +40355 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.153647117 -0.374760453 +40356 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.414076192 -0.374760453 +40357 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.195431726 -0.374760453 +40359 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.347723489 -0.374760453 +40360 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.215454692 -0.374760453 +40358 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.356478533 -0.374760453 +40362 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.044003383 -0.374760453 +40363 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.568155304 -0.374760453 +40361 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.045274539 -0.374760453 +40364 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.701492631 -0.374760453 +40365 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.607716447 -0.374760453 +40366 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.593764903 -0.374760453 +40368 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.512245413 -0.374760453 +40367 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.304054903 -0.374760453 +40369 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.71508253 -0.374760453 +40370 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.099974183 -0.374760453 +40372 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.553562423 -0.374760453 +40371 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.132364949 -0.374760453 +40373 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.01781787 -0.374760453 +40375 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.079359403 -0.374760453 +40374 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.367714238 -0.374760453 +40376 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.238934517 -0.374760453 +40377 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.340551678 -0.374760453 +40378 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.734045052 -0.374760453 +40379 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.099294321 -0.374760453 +40381 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.57410845 -0.374760453 +40380 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.17175222 -0.374760453 +40382 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.054988985 -0.374760453 +40384 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.359066153 -0.374760453 +40383 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.276819456 -0.374760453 +40385 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.767239972 -0.374760453 +40386 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.345030996 -0.374760453 +40387 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.776555296 -0.374760453 +40388 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.342320347 -0.374760453 +40390 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.758071592 -0.374760453 +40389 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.630066901 -0.374760453 +40393 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.105858074 -0.374760453 +40391 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.135576665 -0.374760453 +40392 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.07661543 -0.374760453 +40395 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.468349512 -0.374760453 +40396 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.294961916 -0.374760453 +40397 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.137761842 -0.374760453 +40398 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.361955443 -0.374760453 +40399 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.209227298 -0.374760453 +40400 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.623195075 -0.374760453 +40401 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.133054149 -0.374760453 +40394 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.653093468 -0.374760453 +40402 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.807698799 -0.374760453 +40403 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.442427046 -0.374760453 +40404 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.319394369 -0.374760453 +40407 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.046434136 -0.374760453 +40406 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.271480131 -0.374760453 +40405 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.191868291 -0.374760453 +40408 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.450020943 -0.374760453 +40409 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.081203461 -0.374760453 +40410 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.276846792 -0.374760453 +40412 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.554692685 -0.374760453 +40411 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.469944434 -0.374760453 +40413 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.025000076 -0.374760453 +40415 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.733435096 -0.374760453 +40417 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.304170016 -0.374760453 +40418 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.393966196 -0.374760453 +40414 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.303881812 -0.374760453 +40416 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.322302545 -0.374760453 +40419 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.011507635 -0.374760453 +40420 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.32757919 -0.374760453 +40421 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.009740062 -0.374760453 +40423 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.414115799 -0.374760453 +40425 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.41049358 -0.374760453 +40424 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.215181971 -0.374760453 +40426 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.199007503 -0.374760453 +40427 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.218931669 -0.374760453 +40428 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.580862947 -0.374760453 +40422 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.036598228 -0.374760453 +40429 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.142353574 -0.374760453 +40431 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.105824015 -0.374760453 +40430 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.108669294 -0.374760453 +40432 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.660459236 -0.374760453 +40433 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.648700072 -0.374760453 +40434 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.147408009 -0.374760453 +40435 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.064613111 -0.374760453 +40437 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.785927817 -0.374760453 +40439 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.160761583 -0.374760453 +40442 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.596417448 -0.374760453 +40440 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.465328422 -0.374760453 +40436 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.556859765 -0.374760453 +40443 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.538360372 -0.374760453 +40438 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.110530122 -0.374760453 +40441 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.018195308 -0.374760453 +40444 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.124921788 -0.374760453 +40445 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.602561305 -0.374760453 +40447 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.642988615 -0.374760453 +40446 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.15951044 -0.374760453 +40449 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.872526036 -0.374760453 +40450 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.104080204 -0.374760453 +40448 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.822446583 -0.374760453 +40451 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.709435866 -0.374760453 +40453 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.197943007 -0.374760453 +40452 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.610793932 -0.374760453 +40454 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.515223191 -0.374760453 +40455 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.504125167 -0.374760453 +40456 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.210270839 -0.374760453 +40457 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.431256546 -0.374760453 +40459 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.705983401 -0.374760453 +40460 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.211780869 -0.374760453 +40458 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.473340708 -0.374760453 +40461 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.371307475 -0.374760453 +40462 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.095601867 -0.374760453 +40463 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.756165236 -0.374760453 +40464 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.177369852 -0.374760453 +40465 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.160340072 -0.374760453 +40466 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.011211702 -0.374760453 +40467 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.748165869 -0.374760453 +40468 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.121110072 -0.374760453 +40469 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.424087526 -0.374760453 +40470 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.707227928 -0.374760453 +40472 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.311302062 -0.374760453 +40471 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.264005922 -0.374760453 +40473 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.506313115 -0.374760453 +40474 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.745923358 -0.374760453 +40475 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.599331946 -0.374760453 +40477 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.223273797 -0.374760453 +40478 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.71917286 -0.374760453 +40476 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.135146923 -0.374760453 +40479 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.12519544 -0.374760453 +40480 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.254497967 -0.374760453 +40481 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.241192301 -0.374760453 +40482 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.473356621 -0.374760453 +40483 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.710583751 -0.374760453 +40484 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.586466547 -0.374760453 +40485 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.691292451 -0.374760453 +40486 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.568415879 -0.374760453 +40487 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.822552408 -0.374760453 +40488 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.581029973 -0.374760453 +40489 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.029311865 -0.374760453 +40490 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.150827075 -0.374760453 +40491 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.565004797 -0.374760453 +40492 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.778519451 -0.374760453 +40493 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.34010294 -0.374760453 +40495 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.385951369 -0.374760453 +40494 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.612903052 -0.374760453 +40496 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.560203614 -0.374760453 +40497 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.010146879 -0.374760453 +40498 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.641463384 -0.374760453 +40499 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.221816047 -0.374760453 +40500 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.43348484 -0.374760453 +40501 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.431262604 -0.374760453 +40502 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.08832719 -0.374760453 +40504 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.744958926 -0.374760453 +40505 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.733195567 -0.374760453 +40503 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.301420452 -0.374760453 +40506 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.204727854 -0.374760453 +40507 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.66368225 -0.374760453 +40508 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.05921945 -0.374760453 +40509 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.649477006 -0.374760453 +40510 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.263749727 -0.374760453 +40511 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.180435053 -0.374760453 +40512 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.605517945 -0.374760453 +40514 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.18768185 -0.374760453 +40513 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.451081053 -0.374760453 +40515 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.8526026 -0.374760453 +40516 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.676834532 -0.374760453 +40517 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.389686322 -0.374760453 +40518 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.158456863 -0.374760453 +40519 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.499252107 -0.374760453 +40520 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.088582386 -0.374760453 +40521 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.001631058 -0.374760453 +40523 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.536957379 -0.374760453 +40522 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.187257378 -0.374760453 +40524 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.754402833 -0.374760453 +40525 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.050369403 -0.374760453 +40526 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.786884169 -0.374760453 +40527 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.378274543 -0.374760453 +40529 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.430093633 -0.374760453 +40528 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.175742779 -0.374760453 +40530 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.374092411 -0.374760453 +40531 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.564416279 -0.374760453 +40532 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.427030072 -0.374760453 +40533 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.029730446 -0.374760453 +40534 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.693215356 -0.374760453 +40535 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.240804763 -0.374760453 +40536 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.703629938 -0.374760453 +40538 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.485858069 -0.374760453 +40537 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.287027298 -0.374760453 +40540 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.63068249 -0.374760453 +40541 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.692982705 -0.374760453 +40542 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.548455774 -0.374760453 +40539 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.198302261 -0.374760453 +40543 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.711632959 -0.374760453 +40544 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.807059585 -0.374760453 +40546 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.533205133 -0.374760453 +40545 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.685085328 -0.374760453 +40547 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.261115571 -0.374760453 +40548 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.591956695 -0.374760453 +40549 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.481420877 -0.374760453 +40551 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.842885756 -0.374760453 +40550 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.230103629 -0.374760453 +40552 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.231670139 -0.374760453 +40554 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.782544676 -0.374760453 +40553 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.187028843 -0.374760453 +40555 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.730874211 -0.374760453 +40556 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.033680176 -0.374760453 +40558 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.315299723 -0.374760453 +40557 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.304792128 -0.374760453 +40560 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.119421696 -0.374760453 +40561 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.017502737 -0.374760453 +40559 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.202336728 -0.374760453 +40562 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.242349287 -0.374760453 +40563 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.665447394 -0.374760453 +40564 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.752888349 -0.374760453 +40566 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.505085836 -0.374760453 +40565 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.703423542 -0.374760453 +40567 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.698502093 -0.374760453 +40568 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.357183988 -0.374760453 +40570 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.754523117 -0.374760453 +40571 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.671053163 -0.374760453 +40569 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.710537812 -0.374760453 +40572 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.444478754 -0.374760453 +40573 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.270136968 -0.374760453 +40574 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.70040679 -0.374760453 +40575 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.050043923 -0.374760453 +40576 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.237345703 -0.374760453 +40577 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.359020756 -0.374760453 +40578 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.639026459 -0.374760453 +40579 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.144335038 -0.374760453 +40580 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.32013606 -0.374760453 +40582 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.141441608 -0.374760453 +40581 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.336981365 -0.374760453 +40583 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.221776781 -0.374760453 +40584 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.46463387 -0.374760453 +40585 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.063511725 -0.374760453 +40586 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.088174965 -0.374760453 +40587 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.523360519 -0.374760453 +40588 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.617593244 -0.374760453 +40589 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.507466235 -0.374760453 +40590 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.431870671 -0.374760453 +40591 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.144152479 -0.374760453 +40592 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.065406434 -0.374760453 +40593 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.414453092 -0.374760453 +40594 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.136245716 -0.374760453 +40596 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.300945417 -0.374760453 +40597 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.321830367 -0.374760453 +40595 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.098353788 -0.374760453 +40599 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.622598252 -0.374760453 +40600 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.034668978 -0.374760453 +40598 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.743901406 -0.374760453 +40601 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.695877116 -0.374760453 +40602 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.340253615 -0.374760453 +40603 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.537956066 -0.374760453 +40604 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.330239683 -0.374760453 +40605 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.272651331 -0.374760453 +40606 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.184556724 -0.374760453 +40609 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.545812538 -0.374760453 +40608 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.264034805 -0.374760453 +40607 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.309131001 -0.374760453 +40610 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.610043688 -0.374760453 +40611 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.526224712 -0.374760453 +40612 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.186530351 -0.374760453 +40614 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.352194435 -0.374760453 +40615 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.411739749 -0.374760453 +40617 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.597500368 -0.374760453 +40616 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.380951999 -0.374760453 +40613 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.495542296 -0.374760453 +40618 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.724621225 -0.374760453 +40619 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.833729163 -0.374760453 +40620 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.247769386 -0.374760453 +40621 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.310143844 -0.374760453 +40622 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.192573024 -0.374760453 +40623 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.83076967 -0.374760453 +40624 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.238634386 -0.374760453 +40625 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.088037144 -0.374760453 +40626 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.057411551 -0.374760453 +40627 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.008032929 -0.374760453 +40628 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.253645365 -0.374760453 +40629 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.633007388 -0.374760453 +40630 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.542843082 -0.374760453 +40631 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.667242951 -0.374760453 +40632 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.354840052 -0.374760453 +40633 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.696778761 -0.374760453 +40635 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.699330271 -0.374760453 +40634 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.068523547 -0.374760453 +40636 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.757989222 -0.374760453 +40637 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.592603181 -0.374760453 +40639 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.295536413 -0.374760453 +40638 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.647479176 -0.374760453 +40640 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.50986863 -0.374760453 +40642 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.318494788 -0.374760453 +40643 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.668770557 -0.374760453 +40645 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.074683113 -0.374760453 +40644 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.336034917 -0.374760453 +40641 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.15162574 -0.374760453 +40646 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.21929375 -0.374760453 +40647 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.506922412 -0.374760453 +40648 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.152515652 -0.374760453 +40649 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.043775494 -0.374760453 +40651 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.315812749 -0.374760453 +40652 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.183049985 -0.374760453 +40650 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.433458195 -0.374760453 +40654 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.803423287 -0.374760453 +40653 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.531178566 -0.374760453 +40655 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.287525466 -0.374760453 +40656 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.201200962 -0.374760453 +40657 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.473177182 -0.374760453 +40659 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.425932215 -0.374760453 +40658 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.098348431 -0.374760453 +40661 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.49234222 -0.374760453 +40662 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.309032266 -0.374760453 +40664 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.176556971 -0.374760453 +40660 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.011536457 -0.374760453 +40663 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.507352001 -0.374760453 +40666 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.392612786 -0.374760453 +40665 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.395871328 -0.374760453 +40667 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.401139766 -0.374760453 +40669 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.019426501 -0.374760453 +40668 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.740562644 -0.374760453 +40671 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.657767625 -0.374760453 +40670 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.165824088 -0.374760453 +40675 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.525220929 -0.374760453 +40673 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.336015049 -0.374760453 +40676 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.087368437 -0.374760453 +40672 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.685411195 -0.374760453 +40677 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.699748995 -0.374760453 +40674 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.367153304 -0.374760453 +40678 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.375202361 -0.374760453 +40679 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.20452704 -0.374760453 +40680 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.117602729 -0.374760453 +40681 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.085971391 -0.374760453 +40682 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.044743804 -0.374760453 +40685 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.535449186 -0.374760453 +40684 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.590598977 -0.374760453 +40683 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.562206532 -0.374760453 +40687 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.349254561 -0.374760453 +40686 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.295218672 -0.374760453 +40688 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.139397546 -0.374760453 +40689 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.14101731 -0.374760453 +40690 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.681162391 -0.374760453 +40691 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.57470456 -0.374760453 +40692 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.285042418 -0.374760453 +40694 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.029828758 -0.374760453 +40695 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.690219986 -0.374760453 +40696 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.05797341 -0.374760453 +40693 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.145720016 -0.374760453 +40697 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.27464223 -0.374760453 +40698 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.400708158 -0.374760453 +40699 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.403547863 -0.374760453 +40700 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.36674042 -0.374760453 +40702 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.70172191 -0.374760453 +40701 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.733428541 -0.374760453 +40703 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.012252909 -0.374760453 +40704 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.724758027 -0.374760453 +40705 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.55103707 -0.374760453 +40706 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.200876821 -0.374760453 +40707 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.298274305 -0.374760453 +40708 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.322277795 -0.374760453 +40710 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.482794209 -0.374760453 +40709 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.075256616 -0.374760453 +40711 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.250613575 -0.374760453 +40713 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.500429592 -0.374760453 +40714 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.572102793 -0.374760453 +40712 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.036852655 -0.374760453 +40715 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.656493711 -0.374760453 +40716 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.43632449 -0.374760453 +40718 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.736952739 -0.374760453 +40719 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.099966011 -0.374760453 +40717 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.51254462 -0.374760453 +40721 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.015121016 -0.374760453 +40720 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.736845641 -0.374760453 +40722 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.225151584 -0.374760453 +40723 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.024693553 -0.374760453 +40724 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.409873368 -0.374760453 +40725 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.165415367 -0.374760453 +40727 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.63067854 -0.374760453 +40728 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.461914959 -0.374760453 +40729 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.591302916 -0.374760453 +40726 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.368931163 -0.374760453 +40731 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.310338458 -0.374760453 +40733 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.173513072 -0.374760453 +40732 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.085177316 -0.374760453 +40737 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.371265813 -0.374760453 +40735 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.395326013 -0.374760453 +40730 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.663991472 -0.374760453 +40734 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.265516787 -0.374760453 +40736 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.202015858 -0.374760453 +40738 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.315138031 -0.374760453 +40739 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.498871812 -0.374760453 +40740 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.659712921 -0.374760453 +40741 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.354700342 -0.374760453 +40742 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.48259357 -0.374760453 +40743 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.003099603 -0.374760453 +40744 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.095272865 -0.374760453 +40745 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.752914414 -0.374760453 +40746 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.557722732 -0.374760453 +40747 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.80160696 -0.374760453 +40748 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.667370451 -0.374760453 +40749 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.358252176 -0.374760453 +40750 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.254856576 -0.374760453 +40753 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.197941846 -0.374760453 +40752 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.330340718 -0.374760453 +40754 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.09177278 -0.374760453 +40756 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.207822515 -0.374760453 +40755 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.671047359 -0.374760453 +40751 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.30794971 -0.374760453 +40757 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.04653586 -0.374760453 +40758 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.076271133 -0.374760453 +40760 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.073823947 -0.374760453 +40761 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.683820063 -0.374760453 +40759 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.548883724 -0.374760453 +40762 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.53077888 -0.374760453 +40763 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.120895954 -0.374760453 +40764 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.32884892 -0.374760453 +40766 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.676201965 -0.374760453 +40767 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.30464402 -0.374760453 +40765 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.604257861 -0.374760453 +40769 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.131393327 -0.374760453 +40768 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.564615092 -0.374760453 +40770 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.357198689 -0.374760453 +40771 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.068268023 -0.374760453 +40773 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.253322879 -0.374760453 +40774 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.608023827 -0.374760453 +40772 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.682511343 -0.374760453 +40775 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.246155796 -0.374760453 +40776 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.313964252 -0.374760453 +40777 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.535386749 -0.374760453 +40778 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.408593239 -0.374760453 +40779 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.146632492 -0.374760453 +40780 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.191284543 -0.374760453 +40781 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.428639267 -0.374760453 +40782 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.517413088 -0.374760453 +40783 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.762254721 -0.374760453 +40784 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.068496538 -0.374760453 +40785 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.156385755 -0.374760453 +40786 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.399511958 -0.374760453 +40787 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.010990362 -0.374760453 +40788 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -7.29E-04 -0.374760453 +40789 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.321171437 -0.374760453 +40791 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.738266093 -0.374760453 +40792 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.568405069 -0.374760453 +40793 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.076258777 -0.374760453 +40795 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.580571134 -0.374760453 +40794 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.462227057 -0.374760453 +40790 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.22445432 -0.374760453 +40796 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.767031433 -0.374760453 +40798 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.760688102 -0.374760453 +40797 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.450591172 -0.374760453 +40800 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -5.29E-04 -0.374760453 +40801 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.760940983 -0.374760453 +40802 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.628589299 -0.374760453 +40799 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.346840666 -0.374760453 +40803 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.278323931 -0.374760453 +40804 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.296358484 -0.374760453 +40806 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.54250725 -0.374760453 +40805 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.361646824 -0.374760453 +40807 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.578439881 -0.374760453 +40809 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.518667908 -0.374760453 +40810 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.22365014 -0.374760453 +40812 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.688910182 -0.374760453 +40808 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.332934257 -0.374760453 +40814 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.473617714 -0.374760453 +40815 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.094293969 -0.374760453 +40816 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.06126603 -0.374760453 +40817 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.564700091 -0.374760453 +40813 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.737871752 -0.374760453 +40811 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.574485552 -0.374760453 +40819 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.290040764 -0.374760453 +40818 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.591776867 -0.374760453 +40823 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.796879741 -0.374760453 +40822 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.757859931 -0.374760453 +40824 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.536677111 -0.374760453 +40821 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.57846483 -0.374760453 +40827 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.833815841 -0.374760453 +40820 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.375516182 -0.374760453 +40825 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.248707088 -0.374760453 +40826 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.527674074 -0.374760453 +40828 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.711969444 -0.374760453 +40829 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.309153472 -0.374760453 +40831 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.434252856 -0.374760453 +40830 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.383680577 -0.374760453 +40832 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.529918833 -0.374760453 +40833 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.773511524 -0.374760453 +40835 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.576286401 -0.374760453 +40837 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.600867569 -0.374760453 +40836 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.713338229 -0.374760453 +40840 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.013590996 -0.374760453 +40834 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.095494051 -0.374760453 +40841 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.531996227 -0.374760453 +40838 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.32408113 -0.374760453 +40842 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.303813218 -0.374760453 +40839 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.014314924 -0.374760453 +40843 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.075635834 -0.374760453 +40845 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.196504442 -0.374760453 +40846 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.233309568 -0.374760453 +40847 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.250035741 -0.374760453 +40844 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.489785492 -0.374760453 +40848 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.661067501 -0.374760453 +40849 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.499319105 -0.374760453 +40850 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.44021589 -0.374760453 +40854 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.537458177 -0.374760453 +40851 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.230341698 -0.374760453 +40855 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.345859562 -0.374760453 +40856 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.306966239 -0.374760453 +40852 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.548764917 -0.374760453 +40857 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.137788479 -0.374760453 +40858 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.050375285 -0.374760453 +40853 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.693784828 -0.374760453 +40860 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.119207064 -0.374760453 +40863 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.620987091 -0.374760453 +40859 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.25302033 -0.374760453 +40862 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.163867441 -0.374760453 +40861 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.465956077 -0.374760453 +40864 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.033884179 -0.374760453 +40866 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.543196547 -0.374760453 +40865 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.134978368 -0.374760453 +40867 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.187576764 -0.374760453 +40870 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.171678706 -0.374760453 +40871 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.378857419 -0.374760453 +40869 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.647196158 -0.374760453 +40868 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.441269457 -0.374760453 +40872 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.486237596 -0.374760453 +40874 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.19153497 -0.374760453 +40873 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.042090584 -0.374760453 +40875 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.494790913 -0.374760453 +40876 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.442587855 -0.374760453 +40877 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.463297911 -0.374760453 +40878 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.03305633 -0.374760453 +40880 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.355876085 -0.374760453 +40879 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.405626866 -0.374760453 +40881 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.393429548 -0.374760453 +40882 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.244143273 -0.374760453 +40883 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.683811646 -0.374760453 +40885 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.235260475 -0.374760453 +40886 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.378041219 -0.374760453 +40884 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.392602656 -0.374760453 +40888 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.632804014 -0.374760453 +40889 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.264822754 -0.374760453 +40887 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.58157127 -0.374760453 +40890 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.138737421 -0.374760453 +40891 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.737824264 -0.374760453 +40892 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.624095384 -0.374760453 +40893 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.713044738 -0.374760453 +40894 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.807227813 -0.374760453 +40895 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.31186369 -0.374760453 +40896 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.353274564 -0.374760453 +40897 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.142707354 -0.374760453 +40899 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.043984089 -0.374760453 +40898 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.372785544 -0.374760453 +40900 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.549630618 -0.374760453 +40901 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.331205729 -0.374760453 +40903 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.392727987 -0.374760453 +40902 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.489898866 -0.374760453 +40905 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.283008488 -0.374760453 +40904 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.051298069 -0.374760453 +40906 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.087433445 -0.374760453 +40907 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.389264677 -0.374760453 +40908 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.345929778 -0.374760453 +40909 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.409014763 -0.374760453 +40911 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.014034843 -0.374760453 +40910 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.180445145 -0.374760453 +40912 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.528669755 -0.374760453 +40913 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.246553471 -0.374760453 +40916 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.570976362 -0.374760453 +40918 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.309361359 -0.374760453 +40917 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.70836903 -0.374760453 +40914 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.616390325 -0.374760453 +40919 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.511902 -0.374760453 +40920 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.029130215 -0.374760453 +40921 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.213619286 -0.374760453 +40915 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.382592339 -0.374760453 +40922 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.647562315 -0.374760453 +40923 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.048148897 -0.374760453 +40924 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.643094001 -0.374760453 +40925 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.140599733 -0.374760453 +40927 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.020494297 -0.374760453 +40928 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.158949452 -0.374760453 +40926 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.180503845 -0.374760453 +40929 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.582834805 -0.374760453 +40930 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.453198918 -0.374760453 +40932 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.018031433 -0.374760453 +40931 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.364318047 -0.374760453 +40934 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.150641651 -0.374760453 +40933 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.097071813 -0.374760453 +40935 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.118849081 -0.374760453 +40936 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.62052177 -0.374760453 +40939 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.66452114 -0.374760453 +40938 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.480445233 -0.374760453 +40940 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.434472735 -0.374760453 +40937 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.191313261 -0.374760453 +40942 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.757446057 -0.374760453 +40941 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.635460327 -0.374760453 +40943 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.204538335 -0.374760453 +40944 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.251437113 -0.374760453 +40945 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.812382256 -0.374760453 +40946 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.033272154 -0.374760453 +40947 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.216027269 -0.374760453 +40949 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.846265337 -0.374760453 +40950 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.215960937 -0.374760453 +40951 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.070174696 -0.374760453 +40952 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.043878521 -0.374760453 +40953 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.272001259 -0.374760453 +40948 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.120905943 -0.374760453 +40954 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.477416074 -0.374760453 +40955 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.407231493 -0.374760453 +40956 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.302244684 -0.374760453 +40957 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.606596044 -0.374760453 +40958 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.007746587 -0.374760453 +40959 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.513978293 -0.374760453 +40962 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.293452257 -0.374760453 +40961 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.20006282 -0.374760453 +40960 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.012484503 -0.374760453 +40963 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.173748047 -0.374760453 +40964 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.556307287 -0.374760453 +40966 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.030472801 -0.374760453 +40965 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.491371209 -0.374760453 +40967 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.292178189 -0.374760453 +40968 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.704575775 -0.374760453 +40969 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.506566431 -0.374760453 +40970 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.264298443 -0.374760453 +40972 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.061916876 -0.374760453 +40973 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.711037382 -0.374760453 +40974 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.560006985 -0.374760453 +40971 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.516703536 -0.374760453 +40975 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.127022159 -0.374760453 +40977 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.120123554 -0.374760453 +40976 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.432780433 -0.374760453 +40978 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.589355308 -0.374760453 +40979 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -1.71E-04 -0.374760453 +40980 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.720619326 -0.374760453 +40981 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.073164165 -0.374760453 +40982 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.280741694 -0.374760453 +40983 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.108006421 -0.374760453 +40984 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.654071115 -0.374760453 +40986 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.453448724 -0.374760453 +40985 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.630947554 -0.374760453 +40987 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.030722571 -0.374760453 +40988 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.43442191 -0.374760453 +40989 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.262123685 -0.374760453 +40991 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 0.017159243 -0.374760453 +40992 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.663223742 -0.374760453 +40993 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.155594307 -0.374760453 +40994 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.203754606 -0.374760453 +40990 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.434043813 -0.374760453 +40995 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.172152229 -0.374760453 +40997 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.204280273 -0.374760453 +40996 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.346592157 -0.374760453 +40999 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.492315101 -0.374760453 +41000 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.32080486 -0.374760453 +40998 1 Indifferent Majority vs. Passionate Minority 1001 0 0 0 1 0 TRUE 10 1 10 1 -0.812056474 -0.374760453 diff --git a/data-analysis/analysis-future-work/future-work-data/multi-QV-with-Polling correlate-10-issues-maj-vs-min (first issue).csv b/data-analysis/analysis-future-work/future-work-data/multi-QV-with-Polling correlate-10-issues-maj-vs-min (first issue).csv new file mode 100644 index 0000000..560466c --- /dev/null +++ b/data-analysis/analysis-future-work/future-work-data/multi-QV-with-Polling correlate-10-issues-maj-vs-min (first issue).csv @@ -0,0 +1,21001 @@ +[run number],vote-portion-strategic,utility-distribution,number-of-voters,perceived-utility-stdev,proportion-of-strategic-voters,minority-power,y-axis,x-axis,QV?,number-of-issues,issues-correlation,correlate-n-issues,[step],item 0 total-payoff-per-issue,first issue average payoff +8,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.061430052,0.156 +4,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.003078487,0.156 +7,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.154024858,0.156 +5,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.303398512,0.156 +1,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.305086778,0.156 +3,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.327991873,0.156 +2,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.334113923,0.156 +6,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.762370837,0.156 +9,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.61577743,0.156 +11,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.518225506,0.156 +15,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.493745856,0.156 +13,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.574013667,0.156 +14,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.015838174,0.156 +10,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.104961493,0.156 +12,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.033240457,0.156 +16,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.147292383,0.156 +18,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.317183209,0.156 +17,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.110224103,0.156 +19,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.030729941,0.156 +21,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.499959592,0.156 +23,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.223817269,0.156 +20,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.419982211,0.156 +22,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.179356646,0.156 +24,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.282095267,0.156 +25,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.093770538,0.156 +30,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.642677756,0.156 +26,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.481068763,0.156 +31,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.224266098,0.156 +27,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.277248249,0.156 +29,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.270667001,0.156 +28,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.750687416,0.156 +33,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.067047221,0.156 +35,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.603330796,0.156 +34,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.06591405,0.156 +36,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.6439977,0.156 +32,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.625460249,0.156 +38,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.654466545,0.156 +37,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.309072407,0.156 +39,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.28477479,0.156 +40,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.646351918,0.156 +42,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.405875098,0.156 +41,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.507651418,0.156 +43,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.693447647,0.156 +44,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.33496024,0.156 +45,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.478113023,0.156 +46,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.804410305,0.156 +47,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.089006239,0.156 +48,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.716764783,0.156 +50,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.163644065,0.156 +51,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.432917147,0.156 +54,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.138495239,0.156 +53,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.330400783,0.156 +52,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.327207027,0.156 +49,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.682864065,0.156 +55,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.505857659,0.156 +56,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.375149916,0.156 +57,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.742625659,0.156 +58,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.391251176,0.156 +60,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.665297911,0.156 +65,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.124795631,0.156 +62,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.250167056,0.156 +64,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.65879247,0.156 +63,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.019179739,0.156 +66,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.217367483,0.156 +67,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.591093416,0.156 +61,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.091987038,0.156 +59,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.197794676,0.156 +69,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.685097138,0.156 +75,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.090369524,0.156 +74,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.822044857,0.156 +70,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.734313041,0.156 +68,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.662678645,0.156 +71,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.226261954,0.156 +73,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.098008441,0.156 +76,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.865564177,0.156 +78,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.434090049,0.156 +72,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.268365686,0.156 +80,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.0468095,0.156 +79,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.651562814,0.156 +81,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.03422226,0.156 +82,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.791904742,0.156 +77,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.729405926,0.156 +83,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.406039081,0.156 +85,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.056361947,0.156 +87,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.528047634,0.156 +86,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.537724801,0.156 +84,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.583751989,0.156 +88,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.050083997,0.156 +90,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.02825767,0.156 +89,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.49773717,0.156 +92,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.430202124,0.156 +91,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.32773494,0.156 +94,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.427840894,0.156 +93,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.675354092,0.156 +95,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.692519043,0.156 +96,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.558986143,0.156 +97,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.430302118,0.156 +98,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.303607595,0.156 +100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.08993371,0.156 +99,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.700368551,0.156 +102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.239094925,0.156 +101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.761847168,0.156 +103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.617184951,0.156 +104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.061507245,0.156 +105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.252129282,0.156 +106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.105944887,0.156 +107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.227037638,0.156 +108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.560144288,0.156 +109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.589531821,0.156 +110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.581997048,0.156 +111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.574474878,0.156 +112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.848031748,0.156 +113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.344163316,0.156 +114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.009929361,0.156 +116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.363722887,0.156 +117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.273300711,0.156 +115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.443404795,0.156 +118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.553295317,0.156 +119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.412097102,0.156 +121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.476541576,0.156 +122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.485394837,0.156 +123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.290572757,0.156 +120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.413965086,0.156 +125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.599528115,0.156 +124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.471447057,0.156 +126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.394707231,0.156 +128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.304695423,0.156 +129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.795542652,0.156 +130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.780216134,0.156 +127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.281974602,0.156 +131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.564788233,0.156 +133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.172144759,0.156 +132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.335198821,0.156 +134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.6875284,0.156 +135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.095286704,0.156 +137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.776743256,0.156 +139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.694493215,0.156 +136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.547923022,0.156 +138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.353722326,0.156 +141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.700721252,0.156 +140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.731591976,0.156 +142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.382777196,0.156 +143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.617846657,0.156 +146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.041043685,0.156 +144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.544382647,0.156 +148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.369239213,0.156 +145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.563594293,0.156 +147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.5361555,0.156 +149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.590064733,0.156 +150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.893004593,0.156 +151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.745492412,0.156 +152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.599923609,0.156 +153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.1485239,0.156 +154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.068091887,0.156 +157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.646432907,0.156 +156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.61546233,0.156 +158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.743867761,0.156 +159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.564906452,0.156 +155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.743752939,0.156 +160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.586891936,0.156 +161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.021768641,0.156 +162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.776753349,0.156 +164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.031052184,0.156 +163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.400659627,0.156 +166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.086840712,0.156 +165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.379370059,0.156 +168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.240203221,0.156 +169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.015441666,0.156 +167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.334044252,0.156 +170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.51297972,0.156 +172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.65031503,0.156 +171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.581849862,0.156 +174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.477323048,0.156 +176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.565835045,0.156 +173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.03100866,0.156 +175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.013781487,0.156 +177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.617702562,0.156 +178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.260181298,0.156 +179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.430634565,0.156 +180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.321092694,0.156 +181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.300561472,0.156 +182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.198781233,0.156 +183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.059481251,0.156 +184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.004609727,0.156 +186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.833597204,0.156 +185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.526688646,0.156 +187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.611271913,0.156 +189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.555564859,0.156 +188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.059022915,0.156 +191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.715174273,0.156 +192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.425520686,0.156 +193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.382167017,0.156 +190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.137486428,0.156 +197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.153198427,0.156 +194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.11512752,0.156 +196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.211214301,0.156 +198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.593531308,0.156 +195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.583696338,0.156 +201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.725665928,0.156 +200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.237088138,0.156 +203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.560793092,0.156 +202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.400441813,0.156 +199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.786768936,0.156 +204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.099001051,0.156 +205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.028813345,0.156 +207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.601481806,0.156 +206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.113220568,0.156 +208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.044074277,0.156 +209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.817520462,0.156 +210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.545050813,0.156 +214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.706783788,0.156 +212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.024760824,0.156 +211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.520632409,0.156 +213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.298300811,0.156 +215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.255367406,0.156 +216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.390794786,0.156 +217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.201114404,0.156 +220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.066947111,0.156 +219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.41118922,0.156 +222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.455786906,0.156 +218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.159117482,0.156 +221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.630664374,0.156 +223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.718952273,0.156 +224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.214856265,0.156 +225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.785160074,0.156 +228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.899562795,0.156 +226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.022423878,0.156 +227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.300104691,0.156 +230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.783551523,0.156 +232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.731534794,0.156 +231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.767771684,0.156 +233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.357048209,0.156 +229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.539291594,0.156 +234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.185982061,0.156 +236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.504111871,0.156 +235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.432182746,0.156 +237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.557346919,0.156 +238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.083672673,0.156 +239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.704786775,0.156 +240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.047692267,0.156 +242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.095098644,0.156 +244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.48319174,0.156 +243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.357597458,0.156 +241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.206659567,0.156 +245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.024032699,0.156 +248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.521900544,0.156 +246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.146710376,0.156 +247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.543517454,0.156 +249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.599876367,0.156 +252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.175574045,0.156 +250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.480454051,0.156 +253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.120120539,0.156 +251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.104073636,0.156 +254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.825878111,0.156 +255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.316072932,0.156 +256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.442788867,0.156 +257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.557120436,0.156 +259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.306662177,0.156 +258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.609827325,0.156 +260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.330584068,0.156 +262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.297677159,0.156 +263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.818217426,0.156 +264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.281364747,0.156 +261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.559722224,0.156 +266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.094987509,0.156 +265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.071768797,0.156 +267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.167290506,0.156 +268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.035724969,0.156 +269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.079575494,0.156 +270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.570040515,0.156 +272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.566225228,0.156 +274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.479183944,0.156 +273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.328510216,0.156 +276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.053694416,0.156 +271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.587855621,0.156 +275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.525627957,0.156 +277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.137209243,0.156 +278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.54674953,0.156 +280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.760232193,0.156 +279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.208341142,0.156 +282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.603073011,0.156 +281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.501405763,0.156 +284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.190200942,0.156 +283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.766512896,0.156 +285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.101958052,0.156 +286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.454511491,0.156 +288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.125104608,0.156 +287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.753612129,0.156 +292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.421533772,0.156 +290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.141735403,0.156 +294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.557400561,0.156 +293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.012167804,0.156 +289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.767421009,0.156 +291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.124814073,0.156 +295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.629789178,0.156 +296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.25078882,0.156 +298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.765747008,0.156 +297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.162009928,0.156 +299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.397954754,0.156 +300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.589575432,0.156 +301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.042665667,0.156 +302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.612803243,0.156 +304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.118363078,0.156 +305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.362582068,0.156 +306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.381090872,0.156 +308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.384337,0.156 +309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.039976388,0.156 +307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.527559846,0.156 +303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.491567109,0.156 +310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.28075862,0.156 +311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.394976163,0.156 +312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.750270179,0.156 +313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.142046093,0.156 +315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.520347394,0.156 +316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.804603791,0.156 +314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.183544307,0.156 +317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.714964174,0.156 +318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.092705339,0.156 +319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.652563518,0.156 +320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.408656467,0.156 +323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.307798601,0.156 +324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.055619964,0.156 +321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.009381592,0.156 +322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.415280611,0.156 +326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.089366217,0.156 +325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.620824926,0.156 +327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.482532895,0.156 +328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.800006057,0.156 +330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.361857558,0.156 +331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.787394113,0.156 +329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.151946607,0.156 +332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.065892577,0.156 +333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.578449999,0.156 +336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.655082062,0.156 +335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.290235413,0.156 +334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.768079335,0.156 +338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,8.36E-04,0.156 +339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.792916215,0.156 +337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.254232143,0.156 +340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.75225101,0.156 +341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.845230392,0.156 +342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.281372719,0.156 +343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.012977601,0.156 +346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.132132734,0.156 +344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.193995232,0.156 +345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.068592647,0.156 +348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.129121371,0.156 +347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.287904882,0.156 +349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.595450803,0.156 +350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.126016154,0.156 +351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.086990173,0.156 +354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.791992845,0.156 +356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.015519467,0.156 +353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.466328879,0.156 +355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.165758367,0.156 +352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.635241461,0.156 +358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.03137035,0.156 +357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.677065404,0.156 +359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.755367329,0.156 +360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.537602994,0.156 +363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.436988731,0.156 +364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.320042418,0.156 +365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.394541138,0.156 +361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.338405145,0.156 +362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.07396747,0.156 +366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.585952083,0.156 +367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.275080642,0.156 +368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.127021496,0.156 +370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.136907197,0.156 +374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.488882995,0.156 +369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.302099465,0.156 +372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.325404594,0.156 +371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.397833412,0.156 +375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.481273858,0.156 +373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.042832289,0.156 +376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.512178481,0.156 +377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.61493773,0.156 +378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.788367682,0.156 +380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.548598023,0.156 +379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.140564903,0.156 +381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.40753993,0.156 +383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.104185669,0.156 +382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.269409331,0.156 +384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.756038354,0.156 +387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.656550841,0.156 +386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.64143661,0.156 +385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.145443032,0.156 +388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.46516889,0.156 +389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.762794886,0.156 +392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.627446112,0.156 +391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.159480538,0.156 +394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.005463985,0.156 +395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.660551791,0.156 +396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.067098568,0.156 +393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.106025615,0.156 +397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.7889631,0.156 +390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.477833959,0.156 +398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.462125654,0.156 +399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.679786932,0.156 +400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.270691232,0.156 +402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.180639327,0.156 +401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.652684935,0.156 +403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.172330638,0.156 +404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.213637824,0.156 +405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.006308351,0.156 +406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.655238833,0.156 +408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.026247754,0.156 +407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.085079314,0.156 +410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.460231994,0.156 +411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.186838619,0.156 +409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.577397567,0.156 +412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.250822116,0.156 +414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.250911115,0.156 +415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.426059869,0.156 +413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.731845144,0.156 +416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.65758926,0.156 +417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.085683817,0.156 +418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.732577202,0.156 +419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.238151237,0.156 +420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.658080948,0.156 +421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.012531218,0.156 +422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.074352382,0.156 +424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.848718898,0.156 +425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.812362753,0.156 +426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.017218014,0.156 +423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.733099917,0.156 +427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.362587458,0.156 +428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.109425278,0.156 +429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.324566765,0.156 +430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.457196761,0.156 +432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.606577105,0.156 +431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.151650964,0.156 +433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.029145112,0.156 +434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.080572207,0.156 +435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.763464259,0.156 +436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.10452935,0.156 +437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.016466178,0.156 +438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.162324192,0.156 +439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.317957653,0.156 +440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.481978719,0.156 +441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.625876305,0.156 +443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.697981847,0.156 +444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.228893304,0.156 +445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.242624603,0.156 +446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.091762119,0.156 +448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.424964138,0.156 +442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.59714818,0.156 +449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.173156185,0.156 +447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.140853552,0.156 +450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.217918402,0.156 +451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.393092553,0.156 +453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.036813262,0.156 +452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.131624577,0.156 +454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.688291961,0.156 +455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.091754172,0.156 +456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.342367808,0.156 +457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.172217631,0.156 +459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.503740263,0.156 +461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.029770635,0.156 +460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.06118763,0.156 +458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.401172843,0.156 +462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.666991264,0.156 +463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.712528034,0.156 +464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.613567407,0.156 +465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.659770745,0.156 +467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.177092266,0.156 +468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.464127069,0.156 +469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.508305117,0.156 +470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.591695475,0.156 +466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.253899934,0.156 +472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.671178526,0.156 +473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.140489348,0.156 +471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.051816369,0.156 +476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.415673958,0.156 +475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.707931801,0.156 +474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.711529325,0.156 +477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.52166672,0.156 +478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.523193553,0.156 +479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.658597727,0.156 +480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.460858478,0.156 +481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.150259645,0.156 +483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.639331932,0.156 +482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.12122774,0.156 +485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.31058527,0.156 +486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.201209011,0.156 +488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.224059613,0.156 +487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.239931062,0.156 +484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.197137408,0.156 +490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.237151114,0.156 +489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.357687976,0.156 +491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.278030361,0.156 +493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.157926336,0.156 +492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.10914042,0.156 +495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.201611216,0.156 +494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.176068261,0.156 +496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.200045627,0.156 +497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.63745421,0.156 +499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.41797275,0.156 +500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.4542936,0.156 +501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.576228771,0.156 +502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.216905927,0.156 +503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.774297492,0.156 +504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.09267876,0.156 +506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.255918923,0.156 +498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.673684969,0.156 +505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.559635838,0.156 +507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.717119202,0.156 +508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.474357959,0.156 +509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.718205456,0.156 +510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.281089554,0.156 +511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.161243932,0.156 +512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.061552712,0.156 +514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.506916966,0.156 +516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.768677247,0.156 +515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.696545695,0.156 +513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.724707359,0.156 +519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.505838711,0.156 +517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.027388624,0.156 +520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.03427319,0.156 +518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.663912897,0.156 +521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.343227351,0.156 +524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.361249272,0.156 +522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.549665671,0.156 +523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.333162409,0.156 +525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.778176992,0.156 +526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.578244136,0.156 +529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.840375579,0.156 +528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.552986098,0.156 +530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.027912889,0.156 +531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.653515127,0.156 +532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.079905013,0.156 +534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.614733564,0.156 +527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.517675829,0.156 +533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.466340554,0.156 +536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.190779508,0.156 +535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.503358892,0.156 +537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.572927579,0.156 +538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.618898976,0.156 +539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.184446807,0.156 +542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.118698561,0.156 +541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.290153345,0.156 +543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.315419158,0.156 +545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.61957361,0.156 +544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.28065491,0.156 +540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.290439313,0.156 +546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.450066178,0.156 +547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.720275659,0.156 +548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.64366698,0.156 +549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.672636363,0.156 +550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.069546938,0.156 +551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.157778825,0.156 +552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.441910303,0.156 +553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.692777068,0.156 +554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.591902912,0.156 +555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.025709359,0.156 +556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.123253546,0.156 +558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.726779242,0.156 +560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.795624973,0.156 +561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.026537052,0.156 +557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.199986864,0.156 +559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.833715491,0.156 +563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.141285255,0.156 +562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.024547167,0.156 +564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.53825994,0.156 +566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.730621923,0.156 +565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.33504812,0.156 +567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.253650855,0.156 +568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.224016787,0.156 +569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.792711323,0.156 +571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.315059035,0.156 +572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.64022392,0.156 +573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.182046505,0.156 +574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.622842465,0.156 +575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.563827518,0.156 +576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.552279217,0.156 +570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.75179992,0.156 +577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.226280261,0.156 +578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.631342704,0.156 +579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.064102249,0.156 +580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.196858823,0.156 +581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.030267711,0.156 +582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.690347533,0.156 +583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.76211561,0.156 +584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.838748523,0.156 +585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.104587565,0.156 +586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.126423686,0.156 +587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.586163158,0.156 +588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.349955182,0.156 +589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.686895493,0.156 +590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.312098161,0.156 +592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.337280078,0.156 +591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.150397583,0.156 +593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.28216864,0.156 +594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.3881294,0.156 +595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.736862354,0.156 +596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.833356431,0.156 +597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.239288814,0.156 +598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.673716406,0.156 +599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.541607571,0.156 +600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.035669595,0.156 +603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.380684608,0.156 +604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.600815257,0.156 +602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.710242767,0.156 +601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.207042922,0.156 +605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.546680688,0.156 +606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.725688436,0.156 +607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.22682002,0.156 +608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.621797108,0.156 +609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.523634623,0.156 +611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.749602631,0.156 +610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.565929353,0.156 +612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.234496927,0.156 +613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.421911814,0.156 +614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.582349413,0.156 +616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.794771887,0.156 +615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.477531018,0.156 +617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.529580362,0.156 +618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.066559206,0.156 +619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.462468126,0.156 +621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.148734737,0.156 +620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.508178981,0.156 +623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.327796801,0.156 +622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.244977956,0.156 +624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.674936047,0.156 +625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.390517427,0.156 +627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.694925328,0.156 +626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.401650491,0.156 +628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.134806501,0.156 +631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.868253215,0.156 +632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.571533056,0.156 +630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.286780471,0.156 +633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.756901806,0.156 +629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.100577322,0.156 +635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.797961027,0.156 +634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.65619028,0.156 +636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.238211752,0.156 +638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.097759486,0.156 +639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.697720879,0.156 +637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.268810191,0.156 +640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.407420822,0.156 +642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.234098952,0.156 +641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.31658116,0.156 +643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.510993108,0.156 +644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.30722644,0.156 +646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.051347315,0.156 +647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.073568885,0.156 +648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.352942422,0.156 +645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.217711911,0.156 +649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.703222745,0.156 +651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.648157483,0.156 +652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.126210073,0.156 +650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.005119238,0.156 +653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.375676214,0.156 +654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.811827099,0.156 +655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.016151037,0.156 +657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.719042413,0.156 +656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.010303482,0.156 +658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.007733165,0.156 +659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.186789037,0.156 +661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.714612141,0.156 +660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.368226273,0.156 +664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.338968245,0.156 +662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.021646609,0.156 +665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.726681185,0.156 +663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.337678741,0.156 +666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.676952989,0.156 +667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.463396598,0.156 +668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.085342651,0.156 +671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.498182459,0.156 +670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.353278773,0.156 +669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.119970507,0.156 +674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.176463211,0.156 +673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.246064381,0.156 +672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.422480576,0.156 +676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.704784371,0.156 +675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.165827138,0.156 +677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.167425198,0.156 +678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.339964605,0.156 +679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.342158733,0.156 +681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.439987098,0.156 +682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.598410317,0.156 +680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.548679516,0.156 +684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.26525934,0.156 +683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.77439896,0.156 +686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.587017306,0.156 +685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.574427479,0.156 +687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.484205229,0.156 +689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.430528425,0.156 +688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.622920036,0.156 +690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.323391391,0.156 +691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.585644431,0.156 +692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.444772621,0.156 +693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.289922706,0.156 +694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.062558132,0.156 +696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.421829794,0.156 +697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.099788892,0.156 +698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.381167853,0.156 +695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.001252443,0.156 +699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.387743192,0.156 +702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.171535505,0.156 +701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.680099341,0.156 +700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.785060182,0.156 +703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.25194902,0.156 +704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.526405986,0.156 +705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.540415881,0.156 +706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.023102081,0.156 +709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.612392526,0.156 +710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.307091117,0.156 +707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.806832791,0.156 +711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.153479148,0.156 +708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.288590521,0.156 +712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.191607938,0.156 +713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.212279372,0.156 +715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.719369725,0.156 +716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.483182722,0.156 +717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.238308605,0.156 +714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.122054898,0.156 +718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.783777579,0.156 +720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.078732588,0.156 +719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.028338114,0.156 +721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.309253264,0.156 +723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.165871138,0.156 +722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.687683495,0.156 +724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.38418887,0.156 +727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.75177251,0.156 +726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.30852795,0.156 +729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.34405973,0.156 +725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.671770465,0.156 +728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.46194685,0.156 +730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.343735203,0.156 +731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.295997374,0.156 +732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.195153359,0.156 +734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.787964091,0.156 +737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.604304995,0.156 +733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.530968312,0.156 +738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.84648197,0.156 +735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.050688035,0.156 +736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.592064007,0.156 +739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.704198019,0.156 +740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.392794413,0.156 +741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.33494696,0.156 +742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.301970353,0.156 +744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.661062589,0.156 +745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.307295711,0.156 +746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.579897277,0.156 +747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.158499031,0.156 +743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.105676509,0.156 +748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.02432605,0.156 +749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.463317703,0.156 +750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.164959015,0.156 +752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.364112634,0.156 +753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.84822502,0.156 +751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.15707473,0.156 +755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.367766945,0.156 +754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.104389828,0.156 +756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.470076563,0.156 +757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.736759268,0.156 +758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.690365688,0.156 +759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.128648686,0.156 +760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.706344887,0.156 +761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.142816006,0.156 +762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.410572889,0.156 +763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.340003877,0.156 +764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.757376978,0.156 +765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.476654405,0.156 +766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.031602154,0.156 +767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.604916213,0.156 +769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.395497409,0.156 +772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.076307758,0.156 +771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.380656559,0.156 +768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.019224466,0.156 +773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.364006952,0.156 +770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.130773922,0.156 +775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.289092142,0.156 +774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.948905726,0.156 +777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.157102543,0.156 +776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.05452236,0.156 +778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.14738332,0.156 +779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.467335044,0.156 +780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.495115177,0.156 +781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.024227219,0.156 +782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.778066338,0.156 +785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.227085404,0.156 +784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.623953052,0.156 +783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.14416335,0.156 +786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.621033258,0.156 +787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.080706966,0.156 +788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.569503777,0.156 +789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.06778225,0.156 +792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.597499073,0.156 +790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.047232986,0.156 +793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.004335622,0.156 +791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.128261924,0.156 +795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.434415407,0.156 +794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.526534484,0.156 +796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.140990281,0.156 +798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.286500271,0.156 +799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.518154345,0.156 +797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.802614881,0.156 +800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.113859415,0.156 +801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.191386696,0.156 +802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.784283335,0.156 +803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.708007164,0.156 +804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.63030241,0.156 +805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.56970925,0.156 +806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.080740095,0.156 +808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.743341432,0.156 +811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.305115698,0.156 +809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.57679796,0.156 +810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.021379429,0.156 +807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.259591706,0.156 +812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.478389603,0.156 +813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.511119931,0.156 +814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.509209709,0.156 +815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.706137264,0.156 +818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.2857843,0.156 +819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.540105363,0.156 +816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.257600913,0.156 +817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.740578739,0.156 +821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.588635416,0.156 +822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.323740169,0.156 +823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.474123904,0.156 +820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.532444318,0.156 +824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.318495753,0.156 +825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.22748278,0.156 +827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.40276995,0.156 +826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.352923833,0.156 +828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.813482703,0.156 +829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.789403303,0.156 +830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.615907257,0.156 +831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.007023182,0.156 +832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.291717942,0.156 +834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.212475365,0.156 +835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.181318476,0.156 +833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.774997894,0.156 +836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.653801749,0.156 +839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.53338549,0.156 +838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.615034536,0.156 +837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.338639968,0.156 +840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.26263105,0.156 +841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.077801241,0.156 +842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.682616011,0.156 +843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.107496516,0.156 +844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.066773172,0.156 +846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.020155152,0.156 +847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.14196486,0.156 +848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.175500257,0.156 +845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.013555722,0.156 +850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.517124376,0.156 +852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.379107624,0.156 +849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-7.30E-04,0.156 +853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-6.93E-04,0.156 +854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.098257713,0.156 +856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.760247852,0.156 +855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.626255312,0.156 +851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.165378763,0.156 +857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.161367689,0.156 +858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.007045063,0.156 +859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.730203422,0.156 +862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.654018926,0.156 +861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.402277182,0.156 +863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.7637946,0.156 +860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.015831651,0.156 +864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.199795636,0.156 +866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.200660263,0.156 +865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.618849111,0.156 +867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.234530173,0.156 +868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.104720173,0.156 +870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.010254396,0.156 +869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.607518994,0.156 +871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.25683937,0.156 +872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.315056906,0.156 +873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.618160537,0.156 +874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.298406276,0.156 +876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.489658711,0.156 +875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.584786836,0.156 +878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.561415794,0.156 +877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.458798392,0.156 +879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.270397226,0.156 +882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.78412789,0.156 +881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.183843994,0.156 +880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.594847703,0.156 +883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.377470519,0.156 +884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.262090458,0.156 +885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.264572448,0.156 +886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.444479561,0.156 +887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.299318343,0.156 +888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.333494134,0.156 +890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.054101397,0.156 +889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.871330833,0.156 +893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.863215751,0.156 +891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.030532365,0.156 +894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.236481886,0.156 +892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.009484913,0.156 +895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.518639632,0.156 +896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.342562491,0.156 +900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.168995414,0.156 +898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.433547148,0.156 +899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.662185108,0.156 +897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.054561203,0.156 +901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.448559484,0.156 +902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.206767226,0.156 +903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.294552759,0.156 +904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.323885009,0.156 +906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.718219567,0.156 +905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.251980926,0.156 +907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.209647323,0.156 +908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.347343972,0.156 +910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.262139285,0.156 +909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.764885981,0.156 +912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.109391435,0.156 +911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.093555158,0.156 +914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.019701754,0.156 +915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.592027675,0.156 +916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.501250999,0.156 +913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.020834388,0.156 +918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.747292988,0.156 +917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.591130312,0.156 +919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.593402008,0.156 +920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.112988885,0.156 +921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.677987529,0.156 +922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.359656419,0.156 +924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.514994857,0.156 +923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.362308448,0.156 +928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.005163288,0.156 +925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.205022232,0.156 +926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.102896979,0.156 +927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.622823686,0.156 +929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.126627117,0.156 +930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.649428175,0.156 +931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.275030946,0.156 +932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.697962783,0.156 +934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.075615791,0.156 +935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.664789699,0.156 +936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.023912313,0.156 +933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.633863177,0.156 +937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.035428468,0.156 +938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.21457786,0.156 +939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.494227957,0.156 +942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.176347548,0.156 +943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.730235852,0.156 +941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.650292411,0.156 +945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.687005089,0.156 +944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.120043554,0.156 +940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.170761375,0.156 +946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.428890736,0.156 +947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.228878953,0.156 +948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.214930795,0.156 +949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.21927996,0.156 +951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.629703914,0.156 +952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.764711131,0.156 +950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.307165018,0.156 +953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.790969241,0.156 +955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.013891387,0.156 +954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.447396038,0.156 +957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.140652432,0.156 +956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.569158986,0.156 +958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.805696733,0.156 +960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.200509781,0.156 +959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.266161998,0.156 +961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.299110284,0.156 +963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.753781389,0.156 +964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.341549416,0.156 +962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.209986133,0.156 +965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.267987753,0.156 +967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.479229231,0.156 +966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.114056232,0.156 +968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.664807288,0.156 +971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.070391405,0.156 +969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.585858067,0.156 +970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.51901942,0.156 +972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.10421893,0.156 +973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.669532127,0.156 +974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.404997012,0.156 +975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.457634653,0.156 +976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.7227638,0.156 +977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.306561236,0.156 +978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.018610125,0.156 +980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.14642015,0.156 +979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.295137586,0.156 +982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.708653357,0.156 +981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.278128319,0.156 +983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.224085322,0.156 +984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.129528159,0.156 +985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.35492444,0.156 +988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.624102512,0.156 +990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.588964563,0.156 +991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.786448139,0.156 +987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.119991677,0.156 +989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.563489665,0.156 +986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.601456557,0.156 +992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.50448186,0.156 +993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.270036051,0.156 +996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.700801259,0.156 +997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.504024397,0.156 +994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.2228377,0.156 +998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.455168112,0.156 +995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,0.013465989,0.156 +1000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.201169865,0.156 +999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0,10,1,-0.150018915,0.156 +1001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.4062893,0.063 +1002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.457739324,0.063 +1004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.756092124,0.063 +1005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.688698459,0.063 +1006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.191128311,0.063 +1003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.72350382,0.063 +1007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.164123097,0.063 +1008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.774984186,0.063 +1011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.058700293,0.063 +1013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.493624487,0.063 +1010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.16566097,0.063 +1009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.639689018,0.063 +1014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.610332282,0.063 +1012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.41985126,0.063 +1015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.421619293,0.063 +1016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.504609887,0.063 +1017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.178802571,0.063 +1020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.743207251,0.063 +1021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.391838967,0.063 +1018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.350076368,0.063 +1019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.739315707,0.063 +1023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.779825659,0.063 +1022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.505692078,0.063 +1024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.738211086,0.063 +1025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.474649352,0.063 +1026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.763930313,0.063 +1029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.619992151,0.063 +1028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.665130526,0.063 +1027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.610825503,0.063 +1030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.437966887,0.063 +1031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.35396824,0.063 +1033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.276156739,0.063 +1034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.127012011,0.063 +1036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.008115451,0.063 +1037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.631666752,0.063 +1035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.114010907,0.063 +1032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.307309025,0.063 +1038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.510855974,0.063 +1039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.017404183,0.063 +1040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.45206734,0.063 +1043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.736144009,0.063 +1041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.460536669,0.063 +1044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.295378547,0.063 +1046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.536602741,0.063 +1045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.521700028,0.063 +1047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.005095226,0.063 +1042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.027651358,0.063 +1048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.525138177,0.063 +1049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.047918934,0.063 +1050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.746862228,0.063 +1051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.459149038,0.063 +1053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.085379289,0.063 +1052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.336838439,0.063 +1054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.713409732,0.063 +1058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.475674902,0.063 +1059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.467533483,0.063 +1057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.112113593,0.063 +1056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.83037553,0.063 +1055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.287827049,0.063 +1062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.205490877,0.063 +1060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.847659127,0.063 +1061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.367725006,0.063 +1066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.76152593,0.063 +1065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.695003429,0.063 +1063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.83119627,0.063 +1064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.351156681,0.063 +1067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.703715297,0.063 +1069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.880376404,0.063 +1068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.72668516,0.063 +1070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.518978527,0.063 +1071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.06421316,0.063 +1072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.650616274,0.063 +1073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.079949781,0.063 +1077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.0294496,0.063 +1076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.01582421,0.063 +1078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.45946414,0.063 +1079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.389340816,0.063 +1080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.104757396,0.063 +1075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.012134735,0.063 +1081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.376803662,0.063 +1074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.258424843,0.063 +1082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.094798868,0.063 +1083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.107653257,0.063 +1084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.447573838,0.063 +1088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.308134383,0.063 +1087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.144334229,0.063 +1089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.817216402,0.063 +1085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.227207287,0.063 +1086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.530273261,0.063 +1091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.519110553,0.063 +1090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.048759856,0.063 +1092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.777070103,0.063 +1094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.195149669,0.063 +1093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.791047269,0.063 +1097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.440791189,0.063 +1096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.427619192,0.063 +1095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.155247713,0.063 +1099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.296733451,0.063 +1101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.034227179,0.063 +1098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.439085527,0.063 +1103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.094447222,0.063 +1100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.381512163,0.063 +1104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.189936112,0.063 +1105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.066482252,0.063 +1102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.154130309,0.063 +1106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.773460013,0.063 +1108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.470959374,0.063 +1110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.266382878,0.063 +1112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.303238399,0.063 +1109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.751550121,0.063 +1111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.308705661,0.063 +1107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.453233369,0.063 +1113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.750362858,0.063 +1115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.350311599,0.063 +1114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.607829487,0.063 +1117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.196574589,0.063 +1119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.750410724,0.063 +1116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.72004541,0.063 +1118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.716187496,0.063 +1120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.299901193,0.063 +1121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.58620524,0.063 +1123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.376289614,0.063 +1122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.480671387,0.063 +1125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.506454275,0.063 +1124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.098824276,0.063 +1127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.271350596,0.063 +1126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.446275346,0.063 +1129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.697603027,0.063 +1128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.021166099,0.063 +1130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.050416689,0.063 +1131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.16220966,0.063 +1133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.758186999,0.063 +1132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.073376081,0.063 +1135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.224302162,0.063 +1134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.464128634,0.063 +1136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.438658609,0.063 +1137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.560144171,0.063 +1138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.90780393,0.063 +1139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.510299977,0.063 +1141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.094322804,0.063 +1140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.778852817,0.063 +1142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.401588034,0.063 +1143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.537263619,0.063 +1144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.154538814,0.063 +1145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.104560901,0.063 +1146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.08434299,0.063 +1147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.575934531,0.063 +1148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.585342978,0.063 +1150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.477985228,0.063 +1149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.237307439,0.063 +1151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.641702609,0.063 +1152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.280645531,0.063 +1154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.426486911,0.063 +1153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.431873114,0.063 +1155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.591655958,0.063 +1156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.008596478,0.063 +1157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.735293918,0.063 +1158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.338605462,0.063 +1159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.247913081,0.063 +1160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.143099439,0.063 +1161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.580246753,0.063 +1162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.527117083,0.063 +1163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.718652288,0.063 +1165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.661526101,0.063 +1164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.155378528,0.063 +1166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.328247595,0.063 +1167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.289555523,0.063 +1168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.541563648,0.063 +1169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.068418159,0.063 +1171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.216132019,0.063 +1173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.323208197,0.063 +1172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.630472276,0.063 +1170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.643108069,0.063 +1174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.352885329,0.063 +1175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.212387184,0.063 +1176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.501241964,0.063 +1177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.632117681,0.063 +1178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.390935699,0.063 +1179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.180803919,0.063 +1180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.154395479,0.063 +1182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.042669575,0.063 +1183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.389624266,0.063 +1181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.154611996,0.063 +1184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.361666834,0.063 +1185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.058506023,0.063 +1186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.160291995,0.063 +1187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.708526262,0.063 +1188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.340385578,0.063 +1189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.040651139,0.063 +1190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.21616163,0.063 +1192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.717727922,0.063 +1191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.711743166,0.063 +1193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.492195577,0.063 +1194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.651173634,0.063 +1195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.079825096,0.063 +1196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.357155326,0.063 +1198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.144221286,0.063 +1197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.204928122,0.063 +1199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.254976393,0.063 +1200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.187620414,0.063 +1201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.047813328,0.063 +1202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.162085601,0.063 +1203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.595520638,0.063 +1204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.062137735,0.063 +1206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.666553134,0.063 +1205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.426737106,0.063 +1207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.500811617,0.063 +1208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.724954887,0.063 +1210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.742525428,0.063 +1209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.454475124,0.063 +1211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.367535603,0.063 +1212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.142440738,0.063 +1213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.734074831,0.063 +1214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.14911072,0.063 +1215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.712629456,0.063 +1219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.575103319,0.063 +1217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.086171592,0.063 +1218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.005224085,0.063 +1216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.579821609,0.063 +1220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.749014216,0.063 +1221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.448108937,0.063 +1222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.587812189,0.063 +1223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.181259183,0.063 +1226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.280840531,0.063 +1224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.321109613,0.063 +1225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.46782306,0.063 +1227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.795803727,0.063 +1228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.326239083,0.063 +1229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.356757395,0.063 +1230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.385001377,0.063 +1231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.280381348,0.063 +1233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.017418721,0.063 +1232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.312660432,0.063 +1234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.083195676,0.063 +1235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.409173325,0.063 +1237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.069617796,0.063 +1238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.005224363,0.063 +1239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.396547351,0.063 +1236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.753454115,0.063 +1241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.473233368,0.063 +1240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.318280105,0.063 +1242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.680895242,0.063 +1243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.685859187,0.063 +1244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.138781575,0.063 +1245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.208434424,0.063 +1246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.485976539,0.063 +1248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.030925711,0.063 +1247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.161606644,0.063 +1249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.504576344,0.063 +1250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.597441368,0.063 +1251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.429346396,0.063 +1252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.401637871,0.063 +1254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.693370026,0.063 +1253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.786401465,0.063 +1256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.563373704,0.063 +1255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.251463386,0.063 +1257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.544285948,0.063 +1258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.18563071,0.063 +1260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.009301433,0.063 +1259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.140582997,0.063 +1261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.002954064,0.063 +1262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.622637758,0.063 +1263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.277280722,0.063 +1264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.566997472,0.063 +1265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.280818852,0.063 +1266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.396271102,0.063 +1267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.661838042,0.063 +1269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.117927501,0.063 +1268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.051949005,0.063 +1270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.022700758,0.063 +1271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.136558803,0.063 +1272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.037750645,0.063 +1273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.454441147,0.063 +1274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.165642494,0.063 +1276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.097584679,0.063 +1275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.755086502,0.063 +1279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.182031118,0.063 +1277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.047558423,0.063 +1278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.543546712,0.063 +1280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.727163885,0.063 +1281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.536486493,0.063 +1282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.21565581,0.063 +1284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.211274958,0.063 +1283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.005058907,0.063 +1285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.591265589,0.063 +1287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.012821086,0.063 +1286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-6.41E-05,0.063 +1288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.004883922,0.063 +1290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.009830698,0.063 +1289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.582404727,0.063 +1291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.339930557,0.063 +1292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.237163214,0.063 +1294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.507501443,0.063 +1293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.676631739,0.063 +1295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.004009801,0.063 +1296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.758583824,0.063 +1298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.012792745,0.063 +1297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.548019307,0.063 +1300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.723489687,0.063 +1299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.48202199,0.063 +1302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.632635567,0.063 +1301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.682818696,0.063 +1304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.462895847,0.063 +1303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.545859906,0.063 +1305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.335900343,0.063 +1306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.531606276,0.063 +1307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.56924312,0.063 +1308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.246531001,0.063 +1310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.680867986,0.063 +1309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.21772034,0.063 +1311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.729249041,0.063 +1312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.704453465,0.063 +1314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.002586866,0.063 +1313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.549742085,0.063 +1315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.776348494,0.063 +1316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.295015079,0.063 +1317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.591067992,0.063 +1318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.094056325,0.063 +1319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.217029806,0.063 +1321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.466735972,0.063 +1322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.355670361,0.063 +1323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.20738223,0.063 +1320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.684909631,0.063 +1325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.143043705,0.063 +1324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.249737546,0.063 +1326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.579896027,0.063 +1327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.077262856,0.063 +1330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.674639463,0.063 +1328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.466189696,0.063 +1329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.155798446,0.063 +1332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.16802269,0.063 +1333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.544832307,0.063 +1331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.510557827,0.063 +1334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.136774155,0.063 +1335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.204468139,0.063 +1337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.717851745,0.063 +1336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.751193187,0.063 +1338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.340158582,0.063 +1339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.361209422,0.063 +1340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.365314108,0.063 +1342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.867130102,0.063 +1341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.535194024,0.063 +1343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.589975039,0.063 +1345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.170091167,0.063 +1346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.62079714,0.063 +1344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.074275457,0.063 +1347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.585722226,0.063 +1348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.687642242,0.063 +1349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.004213044,0.063 +1350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.421221934,0.063 +1351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.256046639,0.063 +1352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.485943562,0.063 +1354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.694606801,0.063 +1353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.404038385,0.063 +1355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.40001103,0.063 +1356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.273851634,0.063 +1357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.133112747,0.063 +1358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.641287387,0.063 +1359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.316353411,0.063 +1360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.607811485,0.063 +1361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.239473748,0.063 +1362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.342445562,0.063 +1363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.39227836,0.063 +1364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.80975511,0.063 +1365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.038787123,0.063 +1366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.180851808,0.063 +1367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.486928972,0.063 +1369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.69088659,0.063 +1368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.672826248,0.063 +1370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.649412749,0.063 +1371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.578547522,0.063 +1372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.091378101,0.063 +1373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.656641972,0.063 +1374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.18093165,0.063 +1375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.485514453,0.063 +1376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.3372329,0.063 +1378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.710708507,0.063 +1380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.550810388,0.063 +1381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.67192712,0.063 +1379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.207329403,0.063 +1377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.191865448,0.063 +1382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.406660559,0.063 +1383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.038382875,0.063 +1384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.030652959,0.063 +1385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.191964032,0.063 +1386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.613682089,0.063 +1387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.100685048,0.063 +1388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.29940616,0.063 +1389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.212456253,0.063 +1390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.033127724,0.063 +1391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.245586975,0.063 +1392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.142439851,0.063 +1393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.335481166,0.063 +1396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.513113027,0.063 +1394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.544150748,0.063 +1397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.071337672,0.063 +1395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.034117904,0.063 +1399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.022522547,0.063 +1398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.276592495,0.063 +1400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.353426815,0.063 +1401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.243465163,0.063 +1403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.666155751,0.063 +1402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.393618295,0.063 +1404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.596763412,0.063 +1405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.532240128,0.063 +1406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.683621942,0.063 +1408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.123555395,0.063 +1409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.382672042,0.063 +1407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.093867475,0.063 +1410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.021210278,0.063 +1412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.547024154,0.063 +1411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.070727822,0.063 +1413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.465599239,0.063 +1414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.621524097,0.063 +1415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.735295239,0.063 +1416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.016133935,0.063 +1418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.320821433,0.063 +1417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.78681272,0.063 +1420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.326717226,0.063 +1419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.596381309,0.063 +1421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.371801907,0.063 +1422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.678346986,0.063 +1423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.275801446,0.063 +1424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.344621714,0.063 +1425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.100047328,0.063 +1428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.893091107,0.063 +1427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.062059299,0.063 +1426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.570715803,0.063 +1429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.053421972,0.063 +1431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.27627005,0.063 +1430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.320928902,0.063 +1432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.572322483,0.063 +1433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.677909743,0.063 +1434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.088205161,0.063 +1437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.714911902,0.063 +1435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.53194336,0.063 +1436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.756269437,0.063 +1438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.691285785,0.063 +1440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.502518383,0.063 +1439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.523880564,0.063 +1441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.153752148,0.063 +1444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.795457632,0.063 +1442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.200901314,0.063 +1443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.479309635,0.063 +1445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.272496786,0.063 +1446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.228390265,0.063 +1448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.051742907,0.063 +1447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.692364301,0.063 +1449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.792040571,0.063 +1450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.206178954,0.063 +1452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.069697011,0.063 +1451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.050034058,0.063 +1454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.783761129,0.063 +1453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.080394704,0.063 +1456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.124433871,0.063 +1455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.013655346,0.063 +1457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.100990682,0.063 +1459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.092324746,0.063 +1458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.479413984,0.063 +1460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.148634832,0.063 +1461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.351316197,0.063 +1463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.29315998,0.063 +1462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.746174055,0.063 +1464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.025153335,0.063 +1465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.474737545,0.063 +1467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.027852676,0.063 +1466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.593625448,0.063 +1468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.150107879,0.063 +1469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.070118711,0.063 +1470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.414288132,0.063 +1471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.440162081,0.063 +1472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.497582619,0.063 +1473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.602879569,0.063 +1474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.048373945,0.063 +1475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.47533035,0.063 +1477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.164329729,0.063 +1476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.01865791,0.063 +1478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.734730838,0.063 +1479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.51623787,0.063 +1480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.742083178,0.063 +1481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.095220713,0.063 +1482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.370215354,0.063 +1483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.362502306,0.063 +1485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.281796136,0.063 +1486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.708749488,0.063 +1484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.415631321,0.063 +1488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.568571207,0.063 +1487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.026054791,0.063 +1489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.10535376,0.063 +1490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.515970687,0.063 +1491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.804599451,0.063 +1494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.108104033,0.063 +1493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.038513884,0.063 +1495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.444940641,0.063 +1496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.6517165,0.063 +1492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.032184612,0.063 +1497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.388007626,0.063 +1498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.225767122,0.063 +1499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.803299893,0.063 +1501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.327967445,0.063 +1500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.705294262,0.063 +1502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.787287669,0.063 +1504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.471192632,0.063 +1505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.02196591,0.063 +1506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.57469846,0.063 +1507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.484062826,0.063 +1503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.562405848,0.063 +1509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.591947352,0.063 +1508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.323066324,0.063 +1510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.085401207,0.063 +1512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.095979571,0.063 +1511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.535065687,0.063 +1513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.261461276,0.063 +1514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.024941288,0.063 +1515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.664709175,0.063 +1516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.69051124,0.063 +1517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.547460034,0.063 +1518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.544544744,0.063 +1520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.093593138,0.063 +1519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.604153419,0.063 +1521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.672969997,0.063 +1522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.181196257,0.063 +1523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.571179344,0.063 +1524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.522011623,0.063 +1525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.687680842,0.063 +1526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.557807438,0.063 +1528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.854218903,0.063 +1527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.688784119,0.063 +1530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.474616816,0.063 +1529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.541346375,0.063 +1532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.030991158,0.063 +1533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.339914437,0.063 +1534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.06506047,0.063 +1531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.882601665,0.063 +1535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.500275823,0.063 +1537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.086200729,0.063 +1536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.675301715,0.063 +1539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.563262043,0.063 +1538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.081204207,0.063 +1540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.008466049,0.063 +1541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.794994368,0.063 +1542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.650636278,0.063 +1543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.320778768,0.063 +1544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.21656978,0.063 +1545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.598497145,0.063 +1546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.551915648,0.063 +1547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.30416414,0.063 +1548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.400818277,0.063 +1549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.267696406,0.063 +1551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.303338773,0.063 +1552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.241269115,0.063 +1550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.526243949,0.063 +1553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.56286736,0.063 +1554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.336579051,0.063 +1555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.742811999,0.063 +1556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.076499488,0.063 +1557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.510016429,0.063 +1559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.213744779,0.063 +1561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.528856837,0.063 +1562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.217565129,0.063 +1563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.239862962,0.063 +1558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.390223513,0.063 +1564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.399993209,0.063 +1565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.089138019,0.063 +1560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.048534253,0.063 +1566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.493509371,0.063 +1567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.71500296,0.063 +1568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.087615263,0.063 +1569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.578113326,0.063 +1570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.161073037,0.063 +1571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.285362683,0.063 +1572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.128765154,0.063 +1573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.006367841,0.063 +1574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.63162738,0.063 +1575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.738066685,0.063 +1576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.044130914,0.063 +1578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.60954588,0.063 +1577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.026262681,0.063 +1579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.201720699,0.063 +1580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.093582429,0.063 +1582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.040428288,0.063 +1583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.250675544,0.063 +1584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.552608072,0.063 +1586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.580625765,0.063 +1581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.751327001,0.063 +1585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.551153425,0.063 +1587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.441121385,0.063 +1588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.511485071,0.063 +1589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.709606639,0.063 +1590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.062807631,0.063 +1591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.589349125,0.063 +1592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.189237582,0.063 +1594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.237572851,0.063 +1593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.559837955,0.063 +1596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.209223998,0.063 +1595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.640967509,0.063 +1599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.651163931,0.063 +1597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.035774823,0.063 +1598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.542358613,0.063 +1600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.609148953,0.063 +1601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.685326706,0.063 +1603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.586482478,0.063 +1604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.001959928,0.063 +1607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.60957534,0.063 +1605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.028700272,0.063 +1602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.266576256,0.063 +1608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.418565639,0.063 +1606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.790181876,0.063 +1609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.398492992,0.063 +1610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.398661822,0.063 +1611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.169232166,0.063 +1612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.571644053,0.063 +1613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.489706642,0.063 +1616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.563728863,0.063 +1615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.076725576,0.063 +1614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.591342921,0.063 +1617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.831011357,0.063 +1618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.480540091,0.063 +1619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.807597571,0.063 +1621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.116832968,0.063 +1620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.197911057,0.063 +1622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.486055545,0.063 +1623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.77207154,0.063 +1624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.068475075,0.063 +1625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.633616739,0.063 +1627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.661149674,0.063 +1626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.505221395,0.063 +1628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.698120765,0.063 +1629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.608416879,0.063 +1630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.176935888,0.063 +1631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.078737187,0.063 +1633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.266688172,0.063 +1632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.29801708,0.063 +1635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.169237038,0.063 +1634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.596818554,0.063 +1636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.200036242,0.063 +1637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.67269239,0.063 +1639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.097625207,0.063 +1638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.342748059,0.063 +1640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.123117597,0.063 +1641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.708415715,0.063 +1642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.115573429,0.063 +1643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.050436983,0.063 +1644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.100562068,0.063 +1645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.698106481,0.063 +1646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.110695141,0.063 +1647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.467344978,0.063 +1648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.773341269,0.063 +1649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.025435253,0.063 +1651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.748847141,0.063 +1650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.145192234,0.063 +1653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.296562919,0.063 +1652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.83039262,0.063 +1654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.401310836,0.063 +1655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.621515987,0.063 +1656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.443001057,0.063 +1658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.047433553,0.063 +1657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.712308153,0.063 +1661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.437578818,0.063 +1660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.476268445,0.063 +1659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.685783705,0.063 +1662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.298665648,0.063 +1663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.36009288,0.063 +1664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.067022459,0.063 +1665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.224070817,0.063 +1668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.159942288,0.063 +1667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.587119768,0.063 +1669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.645083801,0.063 +1670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.06062841,0.063 +1666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.340835003,0.063 +1671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.485629947,0.063 +1672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.282485327,0.063 +1673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.804726234,0.063 +1674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.551460151,0.063 +1675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.49428454,0.063 +1676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.747572338,0.063 +1677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.135106087,0.063 +1680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.022345487,0.063 +1681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.813615732,0.063 +1678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.16419722,0.063 +1682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.798233325,0.063 +1679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.680931414,0.063 +1683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.861731119,0.063 +1684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.585184417,0.063 +1685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.673489057,0.063 +1688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.416278167,0.063 +1687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.161682314,0.063 +1690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.516342275,0.063 +1686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.706892291,0.063 +1689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.049236617,0.063 +1691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.390453627,0.063 +1692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.490288666,0.063 +1693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.239765373,0.063 +1697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.770256521,0.063 +1696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.389112217,0.063 +1698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.053166058,0.063 +1700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.156832566,0.063 +1694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.17826783,0.063 +1695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.600926066,0.063 +1701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.070212436,0.063 +1699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.750560215,0.063 +1702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.284887369,0.063 +1703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.117499635,0.063 +1704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.759080689,0.063 +1706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.674477674,0.063 +1705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.413851956,0.063 +1707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.383761666,0.063 +1709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.545139196,0.063 +1708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.492143886,0.063 +1712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.762550199,0.063 +1711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.103766289,0.063 +1713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.400457281,0.063 +1714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.128182586,0.063 +1715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.249186533,0.063 +1716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.547266347,0.063 +1710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.439877539,0.063 +1718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.391154851,0.063 +1719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.193606384,0.063 +1717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.531346315,0.063 +1720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.463479526,0.063 +1721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.45365765,0.063 +1724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.125486591,0.063 +1722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.613295904,0.063 +1723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.774444842,0.063 +1725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.778906605,0.063 +1726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.038107402,0.063 +1728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.805091565,0.063 +1727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.585064448,0.063 +1731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.170565799,0.063 +1730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.21680596,0.063 +1732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.242473997,0.063 +1733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.077349364,0.063 +1729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.794521529,0.063 +1734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.525258248,0.063 +1735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.496572542,0.063 +1737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.218263472,0.063 +1739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.480400014,0.063 +1736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.118718604,0.063 +1738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.249720196,0.063 +1741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.526737739,0.063 +1742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.41629486,0.063 +1740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.277378899,0.063 +1743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.12758376,0.063 +1744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.396140581,0.063 +1745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.108917818,0.063 +1746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.599887537,0.063 +1747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.321406614,0.063 +1750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.606584137,0.063 +1749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.416435873,0.063 +1751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.054817369,0.063 +1748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.247338797,0.063 +1752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.75752412,0.063 +1753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.782644785,0.063 +1755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.47153396,0.063 +1758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.024418364,0.063 +1757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.589961616,0.063 +1754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.193258764,0.063 +1759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.28410702,0.063 +1756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.61022918,0.063 +1760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.47287551,0.063 +1761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.04320618,0.063 +1764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.887652343,0.063 +1762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.015619353,0.063 +1763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.541524876,0.063 +1766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.67321923,0.063 +1765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.746170511,0.063 +1767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.150546893,0.063 +1768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.121760075,0.063 +1769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.672467342,0.063 +1772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.020235993,0.063 +1770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.701203042,0.063 +1773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.297052169,0.063 +1774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.433331803,0.063 +1771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.787609693,0.063 +1776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.178526347,0.063 +1775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.368588443,0.063 +1778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.006381874,0.063 +1777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.139677104,0.063 +1779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.39598579,0.063 +1780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.161566953,0.063 +1781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.570033438,0.063 +1782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.599472326,0.063 +1784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.260553807,0.063 +1783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.602581331,0.063 +1785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.053473867,0.063 +1786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.701919821,0.063 +1787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.462076684,0.063 +1788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.348909927,0.063 +1790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.435914839,0.063 +1791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.366903865,0.063 +1792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.155016613,0.063 +1789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.738832214,0.063 +1793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.470451918,0.063 +1794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.386015949,0.063 +1796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.198946117,0.063 +1795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.048855817,0.063 +1797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.465609367,0.063 +1798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.06909012,0.063 +1799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.16692431,0.063 +1801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.308841445,0.063 +1803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.614341165,0.063 +1800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.821309848,0.063 +1802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.692118232,0.063 +1805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.192869958,0.063 +1804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.085350977,0.063 +1807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.53864796,0.063 +1809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.606477865,0.063 +1808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.428581018,0.063 +1806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.537661229,0.063 +1810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.159383704,0.063 +1811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.730087703,0.063 +1812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.365826864,0.063 +1813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.767542398,0.063 +1814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.225402455,0.063 +1815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.11193412,0.063 +1816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.63616408,0.063 +1817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.938356309,0.063 +1819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.677311022,0.063 +1820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.049432543,0.063 +1821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.118447717,0.063 +1822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.264623457,0.063 +1823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.304823081,0.063 +1818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.386003182,0.063 +1824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.48535479,0.063 +1825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.287365799,0.063 +1826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.700738666,0.063 +1827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.102753615,0.063 +1828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.256177937,0.063 +1830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.174839125,0.063 +1831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.091009836,0.063 +1834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.486205014,0.063 +1833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.683831659,0.063 +1832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.443812306,0.063 +1835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.664035224,0.063 +1829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.602319964,0.063 +1836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.022521166,0.063 +1837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.219612789,0.063 +1840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.097942025,0.063 +1838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.471491669,0.063 +1839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.299059796,0.063 +1842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.360543706,0.063 +1843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.195136025,0.063 +1841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.333200666,0.063 +1844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.182691044,0.063 +1845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.305956464,0.063 +1846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.317464725,0.063 +1850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.023947968,0.063 +1849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.629880644,0.063 +1848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.441839567,0.063 +1851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.575181672,0.063 +1847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.008312603,0.063 +1853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.497673373,0.063 +1852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.818054623,0.063 +1854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.366166121,0.063 +1856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.271627438,0.063 +1855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.674415352,0.063 +1857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.458461222,0.063 +1858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.60458859,0.063 +1859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.041450016,0.063 +1861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.725665822,0.063 +1860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.177474185,0.063 +1862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.641133715,0.063 +1863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.089458168,0.063 +1865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.402695562,0.063 +1864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.388418516,0.063 +1866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.382482666,0.063 +1869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.004234776,0.063 +1868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.235856366,0.063 +1870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.24422783,0.063 +1867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.73232131,0.063 +1873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.162189567,0.063 +1872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.478255172,0.063 +1871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.025176221,0.063 +1874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.23834189,0.063 +1875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.572618818,0.063 +1876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.049123016,0.063 +1877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.276479799,0.063 +1879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.072311311,0.063 +1878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.499191044,0.063 +1880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.022323761,0.063 +1881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.356890384,0.063 +1882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.105813624,0.063 +1884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.27093776,0.063 +1883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.110800718,0.063 +1885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.426638632,0.063 +1888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.430084019,0.063 +1887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.385252916,0.063 +1886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.362450129,0.063 +1889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.404229383,0.063 +1890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.021814478,0.063 +1891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.016993482,0.063 +1892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.62008416,0.063 +1894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.051047343,0.063 +1893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.419525541,0.063 +1895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.5822997,0.063 +1896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.188931259,0.063 +1897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.494387795,0.063 +1898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.428893048,0.063 +1899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.8242206,0.063 +1900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.204109683,0.063 +1903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.050847339,0.063 +1901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.211564635,0.063 +1902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.569839367,0.063 +1905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.163269991,0.063 +1904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.899773523,0.063 +1908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.824544094,0.063 +1907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.107114463,0.063 +1906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.465506447,0.063 +1910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.049720555,0.063 +1911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.038614574,0.063 +1909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.343985226,0.063 +1912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.545186718,0.063 +1917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.140101405,0.063 +1916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.012773461,0.063 +1913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.555745275,0.063 +1918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.61141535,0.063 +1915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.283397349,0.063 +1919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.454880565,0.063 +1914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.512731152,0.063 +1920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.477152086,0.063 +1921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.140809297,0.063 +1924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.490209514,0.063 +1922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.81074352,0.063 +1926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.355148546,0.063 +1927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.423369906,0.063 +1925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.220511224,0.063 +1928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.255597048,0.063 +1923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.344529806,0.063 +1929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.681565528,0.063 +1930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.543664377,0.063 +1931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.373047582,0.063 +1932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.066197515,0.063 +1933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.660919843,0.063 +1934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.704009295,0.063 +1935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.688526304,0.063 +1937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.013925418,0.063 +1936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.584369335,0.063 +1938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.245229601,0.063 +1939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.302741147,0.063 +1940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.714976506,0.063 +1942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.691756831,0.063 +1941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.805285669,0.063 +1943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.097147439,0.063 +1944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.082356914,0.063 +1946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.277251907,0.063 +1949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.094498938,0.063 +1948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.476710623,0.063 +1947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.373743742,0.063 +1950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.073213251,0.063 +1945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.258226988,0.063 +1951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.158074164,0.063 +1952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.328015076,0.063 +1956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.602203083,0.063 +1953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.111855662,0.063 +1955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.166615518,0.063 +1957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.896405742,0.063 +1954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.236859167,0.063 +1958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.262852687,0.063 +1959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.007590036,0.063 +1960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.703750287,0.063 +1962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.509206161,0.063 +1963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.598147351,0.063 +1964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.252195569,0.063 +1961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.259229109,0.063 +1965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.449759006,0.063 +1967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.472481492,0.063 +1966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.664513352,0.063 +1968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.559980224,0.063 +1969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.399523984,0.063 +1972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.028001301,0.063 +1971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.746059498,0.063 +1973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.123026177,0.063 +1970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.629343869,0.063 +1974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.422441769,0.063 +1976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.016408684,0.063 +1975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.062187182,0.063 +1977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.517741384,0.063 +1978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.110053532,0.063 +1979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.329856473,0.063 +1980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.272024313,0.063 +1981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.238635134,0.063 +1982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.316336717,0.063 +1983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.301776369,0.063 +1984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.347448833,0.063 +1985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.619335508,0.063 +1988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.728995568,0.063 +1989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,0.026768152,0.063 +1987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.633275077,0.063 +1986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.164450937,0.063 +1991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.201121018,0.063 +1990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.723895897,0.063 +1992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.678344861,0.063 +1993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.412343518,0.063 +1994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.232138371,0.063 +1995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.645052197,0.063 +1996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.416439748,0.063 +1999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.573900993,0.063 +1997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.101284133,0.063 +1998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.522856328,0.063 +2000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.05,10,1,-0.565786406,0.063 +2001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.236495469,0.061 +2002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.502035449,0.061 +2005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.001728568,0.061 +2003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.527349802,0.061 +2006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.585596682,0.061 +2004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.549028254,0.061 +2007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.260124137,0.061 +2009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.41780347,0.061 +2008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.744656899,0.061 +2012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.620585264,0.061 +2013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.03611093,0.061 +2010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.447143584,0.061 +2015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.14621401,0.061 +2016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.246970661,0.061 +2011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.378901435,0.061 +2017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.516867728,0.061 +2014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.681386207,0.061 +2018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.299668625,0.061 +2019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.236806831,0.061 +2020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.466911302,0.061 +2021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.260204041,0.061 +2023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.60583058,0.061 +2022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.802102583,0.061 +2025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.325069928,0.061 +2024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.095149982,0.061 +2027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.5978532,0.061 +2026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.184837262,0.061 +2030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.549870041,0.061 +2029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.691676124,0.061 +2031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.366442517,0.061 +2032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.008385247,0.061 +2028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.012177259,0.061 +2034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.366371214,0.061 +2038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.060020226,0.061 +2036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.542457497,0.061 +2035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.729746236,0.061 +2037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.603507017,0.061 +2033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.632248507,0.061 +2039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.08987754,0.061 +2040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.54116413,0.061 +2042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.48569668,0.061 +2043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.222193545,0.061 +2041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.359649532,0.061 +2044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.514756443,0.061 +2045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.253176438,0.061 +2046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.040437498,0.061 +2047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.502099596,0.061 +2048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.025401368,0.061 +2049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.709577131,0.061 +2051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.647408362,0.061 +2052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.611687756,0.061 +2053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.18386333,0.061 +2050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.625284348,0.061 +2055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.806414238,0.061 +2054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.814952278,0.061 +2057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.037447672,0.061 +2058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.48905196,0.061 +2059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.729585775,0.061 +2060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.50406708,0.061 +2056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.050075611,0.061 +2061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.070113038,0.061 +2062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.640431226,0.061 +2063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.043506533,0.061 +2065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.531675572,0.061 +2064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.313546777,0.061 +2066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.412951479,0.061 +2067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.120886727,0.061 +2068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.035682356,0.061 +2069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.070883648,0.061 +2070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.705773884,0.061 +2073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.171576236,0.061 +2074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.480873419,0.061 +2075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.681884765,0.061 +2076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.216693709,0.061 +2071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.523393378,0.061 +2072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.427336447,0.061 +2078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.28322667,0.061 +2077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.380947792,0.061 +2079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.047080781,0.061 +2080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.089872375,0.061 +2081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.160055834,0.061 +2082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.136636607,0.061 +2083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.019242729,0.061 +2084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.370955366,0.061 +2086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.709749954,0.061 +2085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.756243042,0.061 +2087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.309949992,0.061 +2090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.560964688,0.061 +2089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.800338522,0.061 +2088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.116992607,0.061 +2091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.41330835,0.061 +2092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.544813664,0.061 +2093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.451910489,0.061 +2094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.49026823,0.061 +2095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.386258044,0.061 +2097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.040370325,0.061 +2096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.526924791,0.061 +2098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.546102539,0.061 +2100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.083237748,0.061 +2101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.333842458,0.061 +2099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.605568079,0.061 +2102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.393923988,0.061 +2103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.603144161,0.061 +2104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.310671503,0.061 +2106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.292088456,0.061 +2105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.684772952,0.061 +2107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.640757956,0.061 +2108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.406876942,0.061 +2109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.065883187,0.061 +2110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.352044905,0.061 +2113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.617640812,0.061 +2111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.373354591,0.061 +2114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.396713824,0.061 +2112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.760246417,0.061 +2115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.014339756,0.061 +2116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.076512117,0.061 +2117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.480476729,0.061 +2119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.497115376,0.061 +2120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.306908812,0.061 +2118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.364574785,0.061 +2121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.055963327,0.061 +2123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.372205005,0.061 +2122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.303233918,0.061 +2124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.001715438,0.061 +2127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.087110283,0.061 +2125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.279286332,0.061 +2128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.538196754,0.061 +2129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.429361378,0.061 +2126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.002260765,0.061 +2131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.131940631,0.061 +2130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.115305905,0.061 +2132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.116178936,0.061 +2133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.621699743,0.061 +2135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.029448447,0.061 +2137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.714107764,0.061 +2136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.073513932,0.061 +2139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.14555219,0.061 +2138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.472219605,0.061 +2134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.092596542,0.061 +2140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.053441448,0.061 +2141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.185857463,0.061 +2142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.471752803,0.061 +2143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.314409137,0.061 +2144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.267950963,0.061 +2145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.481186533,0.061 +2146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.177220283,0.061 +2147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.291470424,0.061 +2148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.705065399,0.061 +2149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.48668608,0.061 +2150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.757023159,0.061 +2152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.288612555,0.061 +2154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.533940586,0.061 +2153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.440147682,0.061 +2151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.109286497,0.061 +2157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.366993837,0.061 +2156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.672977665,0.061 +2155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.6169893,0.061 +2158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.366043187,0.061 +2159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.629164893,0.061 +2160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.794260849,0.061 +2161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.0728604,0.061 +2162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.083431158,0.061 +2164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.666825161,0.061 +2165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.591254805,0.061 +2163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.540602873,0.061 +2166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.627225112,0.061 +2167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.512331614,0.061 +2168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.035644427,0.061 +2169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.845863158,0.061 +2170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.549961487,0.061 +2171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.496579502,0.061 +2173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.087203859,0.061 +2174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.604220413,0.061 +2172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.0277124,0.061 +2175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.784308282,0.061 +2176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.122300612,0.061 +2177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.312774113,0.061 +2179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.003210489,0.061 +2180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.342590486,0.061 +2182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.04246004,0.061 +2178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.040161343,0.061 +2181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.57785972,0.061 +2184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.029816228,0.061 +2185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.643005065,0.061 +2186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.143099979,0.061 +2183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.114869836,0.061 +2189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.794414973,0.061 +2187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.574501936,0.061 +2190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.686342166,0.061 +2188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.60291055,0.061 +2191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.548444183,0.061 +2192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.036331271,0.061 +2193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.580625143,0.061 +2194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.284403122,0.061 +2196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.124895668,0.061 +2195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.574483314,0.061 +2197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.064267368,0.061 +2198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.325520785,0.061 +2199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.577100232,0.061 +2201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.329195666,0.061 +2205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.126667636,0.061 +2202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.053713652,0.061 +2204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.652477515,0.061 +2203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.27710637,0.061 +2200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.055316794,0.061 +2206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.4480957,0.061 +2207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.751255111,0.061 +2208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.245353437,0.061 +2209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.560236063,0.061 +2212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.798119046,0.061 +2211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.41128389,0.061 +2214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.350631751,0.061 +2213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.305350928,0.061 +2215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.003236965,0.061 +2210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.355597444,0.061 +2216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.474870556,0.061 +2217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.289135619,0.061 +2219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.566035148,0.061 +2220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.286208299,0.061 +2218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.613377107,0.061 +2221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.682304509,0.061 +2222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.397652486,0.061 +2225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.460674857,0.061 +2224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.455464015,0.061 +2227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.698085281,0.061 +2223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.549449682,0.061 +2229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.354945777,0.061 +2228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.369386216,0.061 +2226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.228242825,0.061 +2230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.06704938,0.061 +2232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.583987741,0.061 +2231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.549398751,0.061 +2233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.31134193,0.061 +2235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.123644184,0.061 +2236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.578438555,0.061 +2237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.742410317,0.061 +2234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.014579637,0.061 +2238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.746871691,0.061 +2239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.719814571,0.061 +2240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.122820016,0.061 +2242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.368681975,0.061 +2243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.304682516,0.061 +2244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.56750773,0.061 +2241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.474731955,0.061 +2246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.366143258,0.061 +2248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.388420305,0.061 +2247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.694652516,0.061 +2249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.778108634,0.061 +2250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.810824105,0.061 +2245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.004568544,0.061 +2253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.029869684,0.061 +2252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.459378446,0.061 +2251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.421801835,0.061 +2254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.700691243,0.061 +2255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.345561148,0.061 +2257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.303611938,0.061 +2258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.312989525,0.061 +2256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.026995008,0.061 +2259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.834006595,0.061 +2260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.263515834,0.061 +2261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.797047108,0.061 +2263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.161774425,0.061 +2262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.638238846,0.061 +2264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.010542792,0.061 +2265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.716680299,0.061 +2266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.108313135,0.061 +2267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.474250557,0.061 +2268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.157709327,0.061 +2269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.408534454,0.061 +2271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.325969182,0.061 +2270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.771494317,0.061 +2272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.523872311,0.061 +2274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.07035695,0.061 +2275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.485657303,0.061 +2273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.233553457,0.061 +2276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.492989697,0.061 +2278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.245698189,0.061 +2279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.490750994,0.061 +2280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.237213953,0.061 +2277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.622389725,0.061 +2282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.735635826,0.061 +2281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.234140073,0.061 +2283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.546052042,0.061 +2284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.428032467,0.061 +2285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.035738072,0.061 +2287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.10829334,0.061 +2286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.513011742,0.061 +2288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.380039759,0.061 +2289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.200213425,0.061 +2290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.221112404,0.061 +2292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.172082863,0.061 +2293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.102541305,0.061 +2296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.723821588,0.061 +2297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.851257632,0.061 +2294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.265020321,0.061 +2291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.183294184,0.061 +2298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.004429099,0.061 +2295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.141304486,0.061 +2299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.495784157,0.061 +2300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.350563468,0.061 +2302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.714696102,0.061 +2301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.321643772,0.061 +2303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.505598585,0.061 +2304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.435968643,0.061 +2306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.175209793,0.061 +2305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.802802379,0.061 +2308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.724035867,0.061 +2307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.128511929,0.061 +2309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.07185782,0.061 +2310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.012648366,0.061 +2311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.487559623,0.061 +2313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.050433158,0.061 +2314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.326539193,0.061 +2316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.657345885,0.061 +2315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.062747584,0.061 +2318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.38524693,0.061 +2317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.027620954,0.061 +2312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.298103734,0.061 +2319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.309856253,0.061 +2321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.103628005,0.061 +2320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.717134836,0.061 +2322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.257984546,0.061 +2323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.696630696,0.061 +2324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.445684644,0.061 +2325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.464221283,0.061 +2326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.124038638,0.061 +2327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.032601401,0.061 +2328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.24152388,0.061 +2329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.109128515,0.061 +2330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.285463935,0.061 +2331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.342310823,0.061 +2332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.515119309,0.061 +2333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.097903966,0.061 +2334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.498550921,0.061 +2335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.315932386,0.061 +2338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.078175212,0.061 +2336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.748332516,0.061 +2337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.885398277,0.061 +2340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.223725327,0.061 +2339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.20116383,0.061 +2341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.77298145,0.061 +2342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.18035493,0.061 +2343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.0568684,0.061 +2345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.822840273,0.061 +2346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.316231265,0.061 +2347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.617575877,0.061 +2348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.377607584,0.061 +2344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.03390487,0.061 +2349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.097939925,0.061 +2350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.549943619,0.061 +2353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.364638225,0.061 +2351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.445584066,0.061 +2354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.780986705,0.061 +2352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.257279619,0.061 +2355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.074861557,0.061 +2357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.41833841,0.061 +2356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.187293152,0.061 +2359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.748462636,0.061 +2360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.137521361,0.061 +2363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.061670592,0.061 +2358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.433862036,0.061 +2364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.117807464,0.061 +2361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.643014058,0.061 +2362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.025183101,0.061 +2365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.579145359,0.061 +2366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.429204605,0.061 +2367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.459572149,0.061 +2368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.600394584,0.061 +2370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.048910313,0.061 +2372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.211402599,0.061 +2369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.224654917,0.061 +2371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.063136884,0.061 +2373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.467836974,0.061 +2374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.51903389,0.061 +2376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.042675482,0.061 +2375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.394107332,0.061 +2377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.57471464,0.061 +2378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.407884161,0.061 +2379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.777007262,0.061 +2380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.491416626,0.061 +2381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.880340681,0.061 +2382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.603371843,0.061 +2384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.1481552,0.061 +2383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.466341096,0.061 +2385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.902242917,0.061 +2386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.530208732,0.061 +2388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.271818045,0.061 +2387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.646270978,0.061 +2389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.464448791,0.061 +2390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.779752104,0.061 +2392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.582567226,0.061 +2391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.615069467,0.061 +2393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.050433443,0.061 +2394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.227120597,0.061 +2395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.256726627,0.061 +2397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.714511929,0.061 +2396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.285556522,0.061 +2398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.00511402,0.061 +2399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.206515425,0.061 +2400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.770860651,0.061 +2401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.61128446,0.061 +2402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.530467735,0.061 +2403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.420758151,0.061 +2404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.647312321,0.061 +2407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.503578272,0.061 +2406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.132112384,0.061 +2408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.414874051,0.061 +2409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.304083353,0.061 +2405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.308327738,0.061 +2411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.307948651,0.061 +2412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.602850036,0.061 +2413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.030402394,0.061 +2414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.41712666,0.061 +2410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.34048002,0.061 +2416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.348719732,0.061 +2417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.756696017,0.061 +2418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.45250167,0.061 +2415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.657726843,0.061 +2420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.409619237,0.061 +2419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.622866019,0.061 +2421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.261156412,0.061 +2422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.00302442,0.061 +2423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.327520355,0.061 +2424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.546506162,0.061 +2426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.086692472,0.061 +2425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.089213503,0.061 +2427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.187928411,0.061 +2429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.765609932,0.061 +2430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.302641191,0.061 +2428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.489855298,0.061 +2431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.403918918,0.061 +2432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.477785122,0.061 +2433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.49980163,0.061 +2435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.460212007,0.061 +2436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.035224673,0.061 +2438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.356201073,0.061 +2437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.093630294,0.061 +2434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.394440415,0.061 +2439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.17731002,0.061 +2441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.777618937,0.061 +2440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.127303318,0.061 +2442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.401618458,0.061 +2443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.66769979,0.061 +2444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.534897694,0.061 +2446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.381842609,0.061 +2445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.074669031,0.061 +2447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.002366162,0.061 +2448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.431710853,0.061 +2450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.734474605,0.061 +2449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.504368172,0.061 +2454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.633241855,0.061 +2453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.280673472,0.061 +2452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.153379689,0.061 +2451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.68492578,0.061 +2455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.706021687,0.061 +2456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.310256849,0.061 +2458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.482044689,0.061 +2459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.219249449,0.061 +2461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.488326104,0.061 +2460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.43016719,0.061 +2462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.294299705,0.061 +2457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.052885271,0.061 +2463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.393288995,0.061 +2464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.719739296,0.061 +2465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.681239187,0.061 +2467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.401827535,0.061 +2466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.478956706,0.061 +2468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.070919113,0.061 +2469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.702251533,0.061 +2471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.443103158,0.061 +2472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.778473237,0.061 +2470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.758902891,0.061 +2473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.510563808,0.061 +2475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.059409502,0.061 +2474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.345370842,0.061 +2476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.605952041,0.061 +2477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.386796878,0.061 +2478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.060305415,0.061 +2479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.76766572,0.061 +2481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.769146257,0.061 +2483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.188268331,0.061 +2480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.439108952,0.061 +2485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.580117116,0.061 +2484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.341269716,0.061 +2482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.650591971,0.061 +2486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.693863982,0.061 +2488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.215565426,0.061 +2487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.762992209,0.061 +2491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.363634607,0.061 +2492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.132552981,0.061 +2489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.742519875,0.061 +2493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.660625835,0.061 +2490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.638140562,0.061 +2494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.196635534,0.061 +2496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.59281626,0.061 +2498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.336554436,0.061 +2495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.658354904,0.061 +2500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.107867795,0.061 +2497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.79741573,0.061 +2501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.564999284,0.061 +2499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.045822161,0.061 +2503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.623055188,0.061 +2504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.674114639,0.061 +2502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.673172204,0.061 +2505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.23490584,0.061 +2507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.609786469,0.061 +2506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.306655935,0.061 +2508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.590778473,0.061 +2509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.639626778,0.061 +2510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.7580893,0.061 +2511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.314306617,0.061 +2512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.689460821,0.061 +2513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.571655824,0.061 +2514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.096089595,0.061 +2515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.365681001,0.061 +2516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.222852846,0.061 +2517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.533697518,0.061 +2519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.510023861,0.061 +2520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.385589069,0.061 +2518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.510931157,0.061 +2521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.865335845,0.061 +2523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.645876391,0.061 +2522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.038422694,0.061 +2525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.057471024,0.061 +2526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.104246836,0.061 +2524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.210568142,0.061 +2527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.530671217,0.061 +2528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.330223265,0.061 +2529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.566873796,0.061 +2531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.373544789,0.061 +2530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.569466392,0.061 +2533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.035218111,0.061 +2535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.02347269,0.061 +2534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.032235723,0.061 +2536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.710855756,0.061 +2532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.623771198,0.061 +2537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.230410304,0.061 +2539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.025178717,0.061 +2538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.563657889,0.061 +2540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.538321017,0.061 +2542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.438428855,0.061 +2543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.557774426,0.061 +2541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.307880051,0.061 +2544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.238669769,0.061 +2545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.34789953,0.061 +2546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.278371091,0.061 +2547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.637444615,0.061 +2548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.695342026,0.061 +2549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.415572857,0.061 +2550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.03811212,0.061 +2551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.70503994,0.061 +2552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.463276033,0.061 +2553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.332936389,0.061 +2554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.653868153,0.061 +2555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.021613072,0.061 +2556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.03664388,0.061 +2557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.010593675,0.061 +2558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.712650528,0.061 +2560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.672367905,0.061 +2561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.091817716,0.061 +2559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.762898326,0.061 +2562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.534179156,0.061 +2563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.400577088,0.061 +2564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.357304984,0.061 +2565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.047802459,0.061 +2567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.033971613,0.061 +2566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.337649641,0.061 +2568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.378200434,0.061 +2569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.475730841,0.061 +2570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.497765719,0.061 +2571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.242114916,0.061 +2572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.094204631,0.061 +2573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.641227882,0.061 +2574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.21534727,0.061 +2576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.360741129,0.061 +2575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.093380524,0.061 +2577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.185583066,0.061 +2578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.509489845,0.061 +2579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.077332708,0.061 +2580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.526751804,0.061 +2581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.452526545,0.061 +2582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.044381418,0.061 +2583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.122750841,0.061 +2585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.025800191,0.061 +2586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.05330972,0.061 +2587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.030805753,0.061 +2584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.560925819,0.061 +2589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.1055669,0.061 +2588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.793079818,0.061 +2590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.408070223,0.061 +2591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.563291866,0.061 +2592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.031617107,0.061 +2593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.482064056,0.061 +2594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.57333981,0.061 +2595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.350368167,0.061 +2596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.051979555,0.061 +2597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.511526556,0.061 +2599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.164197155,0.061 +2598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.797411262,0.061 +2600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.754183339,0.061 +2601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.23169366,0.061 +2602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.731086301,0.061 +2603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.456704689,0.061 +2605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.829258652,0.061 +2604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.744215975,0.061 +2606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.481045868,0.061 +2607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.402182398,0.061 +2608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.626977907,0.061 +2609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.645287673,0.061 +2610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.535391448,0.061 +2612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.579859158,0.061 +2614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.350585818,0.061 +2613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.339503077,0.061 +2615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.1396905,0.061 +2611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.716587441,0.061 +2616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.033052461,0.061 +2617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.600593473,0.061 +2618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.237031054,0.061 +2619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.774952008,0.061 +2620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.355255149,0.061 +2621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.282548598,0.061 +2622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.230209131,0.061 +2624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.333246213,0.061 +2625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.417059229,0.061 +2623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.464497582,0.061 +2626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.689790069,0.061 +2627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.228184324,0.061 +2628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.394815483,0.061 +2629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.606838412,0.061 +2630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.056142729,0.061 +2631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.694117738,0.061 +2632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.340499978,0.061 +2633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.406877146,0.061 +2634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.510641277,0.061 +2635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.063045756,0.061 +2636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.693137942,0.061 +2637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.127511664,0.061 +2638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.39298253,0.061 +2639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.25364464,0.061 +2640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.210967495,0.061 +2642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.196720216,0.061 +2643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.082888334,0.061 +2641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.031534631,0.061 +2644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.326999133,0.061 +2645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.561033608,0.061 +2646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.112102746,0.061 +2647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.731791183,0.061 +2648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.644182892,0.061 +2649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.911515428,0.061 +2650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.748436048,0.061 +2652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.56638258,0.061 +2651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.134338204,0.061 +2653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.429078241,0.061 +2654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.333166917,0.061 +2655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.639943289,0.061 +2656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.035472452,0.061 +2657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.639610603,0.061 +2658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.448281819,0.061 +2659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.772436292,0.061 +2660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.451027835,0.061 +2661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.169518315,0.061 +2662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.106290754,0.061 +2663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.699406896,0.061 +2664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.181521,0.061 +2665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.852026475,0.061 +2666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.673472427,0.061 +2667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.191563931,0.061 +2669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.061829213,0.061 +2668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.022831339,0.061 +2670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.673560174,0.061 +2672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.024150694,0.061 +2671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.254631202,0.061 +2673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.126259122,0.061 +2674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.093949513,0.061 +2675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.045931653,0.061 +2676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.507061836,0.061 +2678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.721663262,0.061 +2677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.419532641,0.061 +2680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.365406456,0.061 +2679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.161131039,0.061 +2681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.189887419,0.061 +2682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.579371612,0.061 +2683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.019447752,0.061 +2684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.695377449,0.061 +2685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.493420776,0.061 +2686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.463684005,0.061 +2687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.694220912,0.061 +2688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.14499319,0.061 +2689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.816047541,0.061 +2690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.785732969,0.061 +2691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.570443031,0.061 +2692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.777593567,0.061 +2693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.695983046,0.061 +2695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.235503934,0.061 +2696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.299769617,0.061 +2697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.699058809,0.061 +2698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.26944515,0.061 +2699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.054117941,0.061 +2700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.234683647,0.061 +2694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.141482814,0.061 +2701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.141366057,0.061 +2702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.748759322,0.061 +2703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.675381358,0.061 +2705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.558686978,0.061 +2704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.146290334,0.061 +2706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.13507083,0.061 +2708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.69463111,0.061 +2707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.212241334,0.061 +2709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.674238579,0.061 +2711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.544439567,0.061 +2713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.483087785,0.061 +2712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.066252896,0.061 +2710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.630859857,0.061 +2715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.510565384,0.061 +2714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.30216754,0.061 +2716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.044129742,0.061 +2717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.319953283,0.061 +2718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.376131463,0.061 +2719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.018117348,0.061 +2721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.121960451,0.061 +2720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.672888902,0.061 +2723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.123972108,0.061 +2722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.058745889,0.061 +2725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.48666336,0.061 +2724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.32684047,0.061 +2726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.345276573,0.061 +2727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.137799017,0.061 +2729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.160984335,0.061 +2728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.186216466,0.061 +2730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.431714014,0.061 +2731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.331834495,0.061 +2733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.6341114,0.061 +2732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.519680744,0.061 +2734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.086018222,0.061 +2735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.601472979,0.061 +2736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.68527923,0.061 +2737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.650790901,0.061 +2739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.259257129,0.061 +2738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.114982718,0.061 +2741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.532032309,0.061 +2742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.103928162,0.061 +2743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.753937973,0.061 +2745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.553311745,0.061 +2744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.05988583,0.061 +2746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.375564252,0.061 +2740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.304642122,0.061 +2747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.744420895,0.061 +2748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.460681789,0.061 +2749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.422166656,0.061 +2752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.271785099,0.061 +2750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.166355905,0.061 +2751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.069971216,0.061 +2753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.649619816,0.061 +2755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.847825976,0.061 +2754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.19150883,0.061 +2756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.363975422,0.061 +2757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.765983356,0.061 +2758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.677486858,0.061 +2759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.748796772,0.061 +2760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.113132883,0.061 +2761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.193106447,0.061 +2762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.078570434,0.061 +2763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.106664915,0.061 +2764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.322092161,0.061 +2765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.420633022,0.061 +2766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.03986716,0.061 +2767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.461446347,0.061 +2768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.569967424,0.061 +2769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.637275509,0.061 +2770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.09764997,0.061 +2771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.023762479,0.061 +2773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.779507259,0.061 +2772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.117781442,0.061 +2774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.830622101,0.061 +2775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.57204323,0.061 +2776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.483476836,0.061 +2777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.348940549,0.061 +2778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.070205702,0.061 +2780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.713490073,0.061 +2781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.0563219,0.061 +2779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.020418479,0.061 +2782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.764371044,0.061 +2783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.617117107,0.061 +2784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.509614239,0.061 +2785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.264086094,0.061 +2786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.009264548,0.061 +2787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.208910573,0.061 +2788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.688630204,0.061 +2790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.472640791,0.061 +2791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.40237361,0.061 +2789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.290745424,0.061 +2793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.770336791,0.061 +2794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.298500276,0.061 +2792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.007877002,0.061 +2795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.671342408,0.061 +2796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.389559987,0.061 +2797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.278837198,0.061 +2798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.711367539,0.061 +2799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.672790678,0.061 +2801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.014524083,0.061 +2800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.097704457,0.061 +2802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.125646796,0.061 +2803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.558912134,0.061 +2804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.090605086,0.061 +2806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.402220271,0.061 +2805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.00534737,0.061 +2807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.244625032,0.061 +2809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.047286922,0.061 +2808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.083376818,0.061 +2810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.252865701,0.061 +2811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.274735914,0.061 +2812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.3104246,0.061 +2813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.396392469,0.061 +2814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.408549745,0.061 +2816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.126974311,0.061 +2818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.248436618,0.061 +2817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.32600527,0.061 +2819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.29670945,0.061 +2815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.671417883,0.061 +2820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.258116081,0.061 +2821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.523436297,0.061 +2822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.708018147,0.061 +2823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.35442812,0.061 +2824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.324842969,0.061 +2825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.294062796,0.061 +2828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.366694956,0.061 +2826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.3957465,0.061 +2829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.048089266,0.061 +2830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.183301361,0.061 +2831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.10672599,0.061 +2832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.584917154,0.061 +2833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.556762206,0.061 +2827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.149355687,0.061 +2835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.386497597,0.061 +2834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.489454417,0.061 +2836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.741936962,0.061 +2837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.081578806,0.061 +2838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.323766035,0.061 +2840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.097729976,0.061 +2839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.030487359,0.061 +2841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.12206095,0.061 +2843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.141039931,0.061 +2842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.463682065,0.061 +2844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.233046255,0.061 +2845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.34078988,0.061 +2846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.032540893,0.061 +2847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.540063495,0.061 +2848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.75444387,0.061 +2849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.250870772,0.061 +2851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.625053941,0.061 +2850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.440124067,0.061 +2852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.50522646,0.061 +2853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.475190158,0.061 +2854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.627064478,0.061 +2855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.126372827,0.061 +2856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.698152203,0.061 +2858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.572663146,0.061 +2857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.137754605,0.061 +2859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.445116687,0.061 +2860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.255761431,0.061 +2861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.084993147,0.061 +2862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.130867887,0.061 +2863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.10805755,0.061 +2864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.739217346,0.061 +2866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.669588694,0.061 +2868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.15378746,0.061 +2867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.532490123,0.061 +2865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.09239549,0.061 +2869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.508215338,0.061 +2871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.36308416,0.061 +2872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.693117197,0.061 +2870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.700813136,0.061 +2873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.111436007,0.061 +2874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.140168811,0.061 +2875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.825715036,0.061 +2877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.529465654,0.061 +2876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.327116482,0.061 +2878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.115554937,0.061 +2879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.759230899,0.061 +2880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.023424798,0.061 +2881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.469418082,0.061 +2882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.075383773,0.061 +2883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.314935119,0.061 +2884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.274908462,0.061 +2885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.566505294,0.061 +2886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.107158567,0.061 +2887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.044260781,0.061 +2888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.07483548,0.061 +2889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.42741277,0.061 +2890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.129873449,0.061 +2891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.108885694,0.061 +2892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.255454304,0.061 +2894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.424634588,0.061 +2893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.545955745,0.061 +2896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.3421452,0.061 +2895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.636466653,0.061 +2897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.269638924,0.061 +2898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.688505444,0.061 +2899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.656097001,0.061 +2900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.131716603,0.061 +2901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.60257802,0.061 +2903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.349748316,0.061 +2904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.77284328,0.061 +2906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.768762581,0.061 +2907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.6778421,0.061 +2902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.193467317,0.061 +2905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.65502158,0.061 +2908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.369012561,0.061 +2909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.399190595,0.061 +2911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.353324077,0.061 +2912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.487628988,0.061 +2910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.238208223,0.061 +2913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.545911113,0.061 +2914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.207684578,0.061 +2915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.750441209,0.061 +2916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.710992362,0.061 +2917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.816216551,0.061 +2919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.168614377,0.061 +2918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.219139757,0.061 +2920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.677276997,0.061 +2921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.732931273,0.061 +2922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.534214591,0.061 +2923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.19567698,0.061 +2924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.544607504,0.061 +2925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.462424228,0.061 +2926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.401607833,0.061 +2927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.757711071,0.061 +2930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.131791918,0.061 +2929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.244477068,0.061 +2928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.663258034,0.061 +2931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.166413893,0.061 +2932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.534077819,0.061 +2933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.408127237,0.061 +2934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.340772669,0.061 +2935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.113139764,0.061 +2936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.237593289,0.061 +2938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.456089252,0.061 +2937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.545558131,0.061 +2940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.204547181,0.061 +2941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.079059548,0.061 +2939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.370549194,0.061 +2942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.325686976,0.061 +2943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.384887597,0.061 +2945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.011478529,0.061 +2946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.02881588,0.061 +2944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.249236269,0.061 +2947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.526207644,0.061 +2948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.735123666,0.061 +2950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.077077527,0.061 +2949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.166274514,0.061 +2951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.131236458,0.061 +2952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.386537633,0.061 +2954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.4071362,0.061 +2953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.124980761,0.061 +2956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.392663702,0.061 +2957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.959678081,0.061 +2959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.389040192,0.061 +2960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.332422347,0.061 +2955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.38487001,0.061 +2958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.244184828,0.061 +2961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.121981148,0.061 +2963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.098704622,0.061 +2962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.663416746,0.061 +2964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.144278943,0.061 +2966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.595072743,0.061 +2967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.288715477,0.061 +2968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.719845161,0.061 +2965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.506134065,0.061 +2969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.2366058,0.061 +2970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.656558006,0.061 +2971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.415576877,0.061 +2972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.009712,0.061 +2973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.272788417,0.061 +2974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.575677683,0.061 +2975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.305419619,0.061 +2977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.521362331,0.061 +2976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.551904249,0.061 +2978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.016488097,0.061 +2979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.783834073,0.061 +2980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.713626592,0.061 +2981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.352382223,0.061 +2982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.737774211,0.061 +2983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,0.065957952,0.061 +2984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.115883651,0.061 +2987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.706547706,0.061 +2985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.830071565,0.061 +2990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.211317326,0.061 +2986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.484177619,0.061 +2991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.030040602,0.061 +2989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.74272492,0.061 +2988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.437446878,0.061 +2992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.241645396,0.061 +2993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.446970162,0.061 +2996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.648768901,0.061 +2998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.319383964,0.061 +2997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.05157839,0.061 +2995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.015896933,0.061 +2999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.463428988,0.061 +2994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.479671479,0.061 +3000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.1,10,1,-0.210834313,0.061 +3001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.10843446,0.061 +3002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.04211688,0.061 +3005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.410064616,0.061 +3006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.095538192,0.061 +3003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.629017314,0.061 +3004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.542047766,0.061 +3008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.781521027,0.061 +3007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.726754065,0.061 +3010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.154739651,0.061 +3009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.696384714,0.061 +3012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.209280447,0.061 +3011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.156098327,0.061 +3013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.007823636,0.061 +3014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.188323154,0.061 +3017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.655466552,0.061 +3018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.38856345,0.061 +3020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.058989082,0.061 +3019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.019742769,0.061 +3016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.218058752,0.061 +3015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.817268094,0.061 +3021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.627943535,0.061 +3022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.472054076,0.061 +3023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.69563342,0.061 +3024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.45623439,0.061 +3025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.146306555,0.061 +3027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.446589504,0.061 +3026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.450642988,0.061 +3028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.694721851,0.061 +3030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.74668026,0.061 +3029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.658248738,0.061 +3031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.031890096,0.061 +3032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.425590401,0.061 +3033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.052409199,0.061 +3035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.004675184,0.061 +3036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.383495842,0.061 +3034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.124969464,0.061 +3037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.687248732,0.061 +3038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.015761433,0.061 +3039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.170176087,0.061 +3040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.339168739,0.061 +3041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.736284468,0.061 +3042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.117786306,0.061 +3043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.089905992,0.061 +3044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.638116892,0.061 +3047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.679262127,0.061 +3045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.035138915,0.061 +3049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.083074172,0.061 +3046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.706419107,0.061 +3051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.754080814,0.061 +3050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.063643627,0.061 +3048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.276312975,0.061 +3052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.632003777,0.061 +3053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.068056912,0.061 +3055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.122902603,0.061 +3054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.684807167,0.061 +3056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.271687262,0.061 +3057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.533564395,0.061 +3058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.39522669,0.061 +3059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.460529095,0.061 +3061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.593962167,0.061 +3060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.197979206,0.061 +3062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.491392675,0.061 +3063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.519913863,0.061 +3065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.538465015,0.061 +3066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.112407374,0.061 +3064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.200076223,0.061 +3068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.184167993,0.061 +3067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.737890878,0.061 +3070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.418026681,0.061 +3071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.371761514,0.061 +3069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.384116782,0.061 +3072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.798415077,0.061 +3073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.745234058,0.061 +3074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.06381785,0.061 +3075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.652400976,0.061 +3076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.121167467,0.061 +3078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.058209588,0.061 +3077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.322898414,0.061 +3079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.615636776,0.061 +3080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.380591351,0.061 +3081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.067320174,0.061 +3082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.219873233,0.061 +3084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.339915021,0.061 +3083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.615879402,0.061 +3085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.673947471,0.061 +3087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.456189381,0.061 +3086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.289817652,0.061 +3089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.678618053,0.061 +3088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.327688104,0.061 +3090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.572330306,0.061 +3091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.110440635,0.061 +3093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.238215841,0.061 +3092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.107546034,0.061 +3095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.135216593,0.061 +3096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.130084563,0.061 +3094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.573974427,0.061 +3098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.077161442,0.061 +3099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.075395059,0.061 +3100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.838275614,0.061 +3101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.129738636,0.061 +3102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.622981305,0.061 +3097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.458152479,0.061 +3103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.505039341,0.061 +3104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.435471609,0.061 +3106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.837151832,0.061 +3105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.268463445,0.061 +3108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.221457791,0.061 +3107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.028197511,0.061 +3109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.149813071,0.061 +3111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.36389632,0.061 +3110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.719518727,0.061 +3112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.336305815,0.061 +3113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.480204035,0.061 +3114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.245533945,0.061 +3115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.747937275,0.061 +3116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.447000706,0.061 +3118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.545589056,0.061 +3117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.224309014,0.061 +3120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.056305704,0.061 +3119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.457415605,0.061 +3121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.678601658,0.061 +3122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.54250645,0.061 +3123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.041221169,0.061 +3124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.750335844,0.061 +3125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.630208266,0.061 +3126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.29112414,0.061 +3127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.507708893,0.061 +3128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.220831747,0.061 +3129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.652063439,0.061 +3130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.056853119,0.061 +3131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.655482216,0.061 +3132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.026811678,0.061 +3133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.734622609,0.061 +3134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.137138993,0.061 +3137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.240134901,0.061 +3135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.644478701,0.061 +3138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.584312564,0.061 +3139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.266153785,0.061 +3140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.346183266,0.061 +3141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.304537487,0.061 +3136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.282377695,0.061 +3143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.221181519,0.061 +3144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.076496335,0.061 +3145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.205329817,0.061 +3142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.727511708,0.061 +3148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.327261353,0.061 +3146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.020665531,0.061 +3147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.211373275,0.061 +3149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.151828318,0.061 +3150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.497016299,0.061 +3152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.385336835,0.061 +3153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.686700672,0.061 +3154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.398336031,0.061 +3155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.061278857,0.061 +3156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.204898722,0.061 +3151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.232643228,0.061 +3158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.003420807,0.061 +3159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.615459509,0.061 +3160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.046700139,0.061 +3157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.59704181,0.061 +3162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.119959391,0.061 +3164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.0741499,0.061 +3163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.651809211,0.061 +3161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.020084401,0.061 +3165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.178978695,0.061 +3167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.152623941,0.061 +3166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.075345305,0.061 +3168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.316056676,0.061 +3170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.641137,0.061 +3172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.64435414,0.061 +3171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.454223154,0.061 +3169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.61092505,0.061 +3173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.119494583,0.061 +3174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.143902441,0.061 +3175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.832278254,0.061 +3178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.386293979,0.061 +3176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.369099632,0.061 +3177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.40127614,0.061 +3179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.722712875,0.061 +3180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.311030281,0.061 +3181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.649267996,0.061 +3182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.360645434,0.061 +3183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.64577228,0.061 +3184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.030492739,0.061 +3186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.618219169,0.061 +3185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.238208937,0.061 +3188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.255821324,0.061 +3187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.185662405,0.061 +3189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.481919516,0.061 +3190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.199779678,0.061 +3191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.333367852,0.061 +3192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.411552409,0.061 +3193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.519446793,0.061 +3195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.558523202,0.061 +3194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.554628219,0.061 +3196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.552875471,0.061 +3197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.397228072,0.061 +3198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.193667096,0.061 +3199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.533158515,0.061 +3200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.651382299,0.061 +3201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.149011245,0.061 +3202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.575765256,0.061 +3204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.041339349,0.061 +3203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.264177552,0.061 +3205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.286569778,0.061 +3206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.219580728,0.061 +3208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.323861133,0.061 +3207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.086567447,0.061 +3209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.291105748,0.061 +3211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.692167543,0.061 +3210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.076309705,0.061 +3212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.498509815,0.061 +3213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.420714148,0.061 +3214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.512979561,0.061 +3215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.374812558,0.061 +3216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.432850723,0.061 +3217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.523984045,0.061 +3218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.350624251,0.061 +3219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.270038275,0.061 +3223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.106977265,0.061 +3222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.373180637,0.061 +3224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.420985191,0.061 +3220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.338962201,0.061 +3225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.319128496,0.061 +3221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.626543438,0.061 +3228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.251200945,0.061 +3229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.353471948,0.061 +3230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.079317058,0.061 +3226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.696897329,0.061 +3227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.405558885,0.061 +3231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.491436878,0.061 +3233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.669024027,0.061 +3232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.19840277,0.061 +3234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.673330657,0.061 +3235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.631217283,0.061 +3237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.035297069,0.061 +3236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.024039692,0.061 +3238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.248325047,0.061 +3239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.650942181,0.061 +3240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.786801382,0.061 +3241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.061619093,0.061 +3242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.670875921,0.061 +3243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.189066389,0.061 +3245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.36182681,0.061 +3246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.074266375,0.061 +3244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.362692621,0.061 +3247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.698676346,0.061 +3248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.706929992,0.061 +3250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.404892205,0.061 +3249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.567399853,0.061 +3252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.408188859,0.061 +3251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.008343948,0.061 +3253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.16675459,0.061 +3254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.276960639,0.061 +3256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.497867887,0.061 +3255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.700048294,0.061 +3258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.428226476,0.061 +3260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.650261385,0.061 +3259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.272100369,0.061 +3261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.261362462,0.061 +3257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.302945158,0.061 +3262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.750236624,0.061 +3263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.585051941,0.061 +3265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.236392175,0.061 +3266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.28079859,0.061 +3267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.090651603,0.061 +3269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.637468186,0.061 +3270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.82575017,0.061 +3264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.793676917,0.061 +3268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.667015454,0.061 +3271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.58161721,0.061 +3274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.07439948,0.061 +3275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.273601378,0.061 +3272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.464596781,0.061 +3276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.766697173,0.061 +3273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.033450054,0.061 +3277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.377416269,0.061 +3278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.623577637,0.061 +3279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.381422819,0.061 +3280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.093799473,0.061 +3281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.495150322,0.061 +3282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.114997022,0.061 +3284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.095311478,0.061 +3283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.645357946,0.061 +3285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.639310154,0.061 +3287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.311822536,0.061 +3286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.010297133,0.061 +3288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.262706274,0.061 +3291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.632173918,0.061 +3292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.268387512,0.061 +3289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.505205118,0.061 +3290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.326232281,0.061 +3293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.709681066,0.061 +3294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.017290553,0.061 +3295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.205382655,0.061 +3296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.418017238,0.061 +3297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.408121391,0.061 +3299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.649187915,0.061 +3300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.059868534,0.061 +3298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.70066723,0.061 +3301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.210588248,0.061 +3302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.281503595,0.061 +3304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.125367235,0.061 +3303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.014651939,0.061 +3305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.518831886,0.061 +3307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.395411365,0.061 +3306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.809366783,0.061 +3308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.276157062,0.061 +3310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.117210089,0.061 +3309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.728641801,0.061 +3311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.314129687,0.061 +3313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.137808381,0.061 +3312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.420334228,0.061 +3314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.304331577,0.061 +3315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.745686145,0.061 +3316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.343612435,0.061 +3318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.090895955,0.061 +3317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.316764418,0.061 +3320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.778849393,0.061 +3319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.719384312,0.061 +3322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.569311766,0.061 +3321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.026547741,0.061 +3323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.185406622,0.061 +3324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.5909947,0.061 +3326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.075972736,0.061 +3325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.080494249,0.061 +3328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.500829181,0.061 +3329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.11079177,0.061 +3331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.19098109,0.061 +3330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.732845953,0.061 +3332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.055174861,0.061 +3327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.729135038,0.061 +3333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.435284344,0.061 +3334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.384779529,0.061 +3335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.139889277,0.061 +3336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.52182292,0.061 +3337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.101375518,0.061 +3340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.657923042,0.061 +3338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.0781095,0.061 +3339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.429629325,0.061 +3341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.538453812,0.061 +3342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.05865904,0.061 +3343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.265856921,0.061 +3344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.769820821,0.061 +3345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.405353252,0.061 +3346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.273456628,0.061 +3347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.694100071,0.061 +3348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.289129529,0.061 +3349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.055982818,0.061 +3350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.107802983,0.061 +3352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.509564994,0.061 +3353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.578458145,0.061 +3351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.061167672,0.061 +3354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.78012998,0.061 +3357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.124442244,0.061 +3355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.096940315,0.061 +3356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.184359361,0.061 +3358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.67287302,0.061 +3359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.078028901,0.061 +3360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.217258073,0.061 +3361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.323283626,0.061 +3362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.759207663,0.061 +3363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.157398304,0.061 +3364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.708505147,0.061 +3366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.223438402,0.061 +3365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.631086528,0.061 +3367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.418549548,0.061 +3368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.608828759,0.061 +3369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.312334028,0.061 +3370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.091547616,0.061 +3371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.007807397,0.061 +3372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.598888785,0.061 +3373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.513078255,0.061 +3375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.043713417,0.061 +3374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.553189129,0.061 +3376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.108075067,0.061 +3377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.191011767,0.061 +3379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.016837826,0.061 +3378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.483908202,0.061 +3381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.048069025,0.061 +3385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.665653455,0.061 +3384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.254195439,0.061 +3382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.090358264,0.061 +3380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.098415895,0.061 +3383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.721775407,0.061 +3386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.460234467,0.061 +3387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.576461374,0.061 +3388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.020543304,0.061 +3389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.483689302,0.061 +3390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.023001015,0.061 +3391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.848634027,0.061 +3393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.670292485,0.061 +3392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.549402978,0.061 +3394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.508966336,0.061 +3395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.309020747,0.061 +3396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.758565173,0.061 +3397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.638892166,0.061 +3398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.539067698,0.061 +3399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.296191238,0.061 +3400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.630583814,0.061 +3402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.039201963,0.061 +3403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.804831253,0.061 +3401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.599242107,0.061 +3404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.177558763,0.061 +3406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.657657605,0.061 +3405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.012070053,0.061 +3407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.593753617,0.061 +3408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.490979283,0.061 +3409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.370511533,0.061 +3410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.386544312,0.061 +3412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.406580446,0.061 +3411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.607708298,0.061 +3413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.019077788,0.061 +3414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.136066326,0.061 +3415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.193497546,0.061 +3416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.544465075,0.061 +3417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.372341767,0.061 +3418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.023285627,0.061 +3419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.359766633,0.061 +3421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.182905291,0.061 +3422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.21825028,0.061 +3423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.132705911,0.061 +3420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.425586501,0.061 +3424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.79695172,0.061 +3426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.612793473,0.061 +3425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.651681637,0.061 +3427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.689105832,0.061 +3429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.666046844,0.061 +3430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.001773278,0.061 +3428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.436521422,0.061 +3432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.029155965,0.061 +3433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.484799067,0.061 +3434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.685708801,0.061 +3435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.644222583,0.061 +3431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.685189386,0.061 +3437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.328931032,0.061 +3436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.295264163,0.061 +3438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.189802901,0.061 +3439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.461983,0.061 +3440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.01429918,0.061 +3441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.407808582,0.061 +3442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.459101633,0.061 +3443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.752270836,0.061 +3445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.178876825,0.061 +3444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.198428436,0.061 +3448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.085261981,0.061 +3449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.239273457,0.061 +3446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.466672593,0.061 +3447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.007663465,0.061 +3450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.073531552,0.061 +3453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.055866202,0.061 +3451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.288356282,0.061 +3452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.584355481,0.061 +3454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.045259422,0.061 +3455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.10250786,0.061 +3456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.514447345,0.061 +3457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.849865346,0.061 +3458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.068752355,0.061 +3461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.368784469,0.061 +3462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.654488258,0.061 +3459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.209189502,0.061 +3463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.744581152,0.061 +3466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.685422709,0.061 +3460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.061217131,0.061 +3464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.27342744,0.061 +3465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.225853494,0.061 +3467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.137870634,0.061 +3470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.325676915,0.061 +3469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.561566486,0.061 +3468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.18811099,0.061 +3473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.120570675,0.061 +3471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.287172732,0.061 +3474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.478634677,0.061 +3472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.043343718,0.061 +3475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.355889234,0.061 +3476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.698181676,0.061 +3477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.4586181,0.061 +3478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.273310589,0.061 +3479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.24898579,0.061 +3480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.290968554,0.061 +3481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.647152951,0.061 +3482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.64512057,0.061 +3484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.265777411,0.061 +3485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.017321436,0.061 +3483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.729163526,0.061 +3487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.449729655,0.061 +3488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.507120252,0.061 +3486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.891667291,0.061 +3489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.202095962,0.061 +3490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.67044191,0.061 +3491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.462235781,0.061 +3492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.039042669,0.061 +3494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.466861067,0.061 +3495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.477693622,0.061 +3496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.689284383,0.061 +3493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.282618809,0.061 +3497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.05607638,0.061 +3498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.267508884,0.061 +3501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.319546844,0.061 +3502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.828662386,0.061 +3500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.140252079,0.061 +3503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.39178744,0.061 +3499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.613600388,0.061 +3504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.651345187,0.061 +3506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.076276323,0.061 +3505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.154918035,0.061 +3507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.057121072,0.061 +3508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.055730888,0.061 +3511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.024595386,0.061 +3510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.266635499,0.061 +3509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.667005333,0.061 +3513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.145094597,0.061 +3514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.549470006,0.061 +3512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.6397993,0.061 +3515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.37259251,0.061 +3516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.101955471,0.061 +3518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.035682128,0.061 +3519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.341096558,0.061 +3517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.071025862,0.061 +3520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.481019829,0.061 +3521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.293095396,0.061 +3523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.012094869,0.061 +3522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.686852059,0.061 +3524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.687128507,0.061 +3525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.220230456,0.061 +3526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.005367219,0.061 +3527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.24512485,0.061 +3528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.631987692,0.061 +3530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.086531126,0.061 +3533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.220622175,0.061 +3529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.136549663,0.061 +3534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.662216997,0.061 +3535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.090407757,0.061 +3532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.099766713,0.061 +3531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.193695396,0.061 +3538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.710226072,0.061 +3536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.461816906,0.061 +3539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.564498604,0.061 +3537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,1.51E-04,0.061 +3542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.509201108,0.061 +3541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.182544884,0.061 +3540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.002829693,0.061 +3543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.424269026,0.061 +3545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.342782266,0.061 +3544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.671474348,0.061 +3546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.655619766,0.061 +3547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.408375521,0.061 +3548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.253257589,0.061 +3549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.568715146,0.061 +3550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.711144827,0.061 +3552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.047968566,0.061 +3553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.111013862,0.061 +3554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.393065736,0.061 +3551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.037663268,0.061 +3556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.643461667,0.061 +3558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.562209457,0.061 +3557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.188974243,0.061 +3559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.440270346,0.061 +3555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.579203666,0.061 +3561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.393545987,0.061 +3560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.628101031,0.061 +3563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.018976033,0.061 +3562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.737855735,0.061 +3564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.687145389,0.061 +3565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.105229205,0.061 +3566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.104495741,0.061 +3567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.782910324,0.061 +3569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.191694835,0.061 +3568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.134978766,0.061 +3570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.298096409,0.061 +3571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.349189586,0.061 +3572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.361059043,0.061 +3573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.604218561,0.061 +3575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.091827767,0.061 +3577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.136519755,0.061 +3576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.066367332,0.061 +3574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.154643084,0.061 +3578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.344687506,0.061 +3581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.644258192,0.061 +3580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.377781042,0.061 +3579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.664961584,0.061 +3585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.07377136,0.061 +3582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.706019347,0.061 +3584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.020597723,0.061 +3583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.111959658,0.061 +3586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.458845877,0.061 +3587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.161903558,0.061 +3588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.597710371,0.061 +3590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.801879056,0.061 +3593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.257654611,0.061 +3591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.577964127,0.061 +3594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.27220825,0.061 +3592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.133601849,0.061 +3595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.313782207,0.061 +3589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.554321271,0.061 +3596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.531740666,0.061 +3599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.424233229,0.061 +3598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.031472796,0.061 +3600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.259895621,0.061 +3597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.508927017,0.061 +3601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.806808957,0.061 +3602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.005710112,0.061 +3603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.311618226,0.061 +3604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.449750558,0.061 +3605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.454266178,0.061 +3606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.364151255,0.061 +3607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.620846895,0.061 +3608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.283299747,0.061 +3609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.189476127,0.061 +3610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.333278954,0.061 +3612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.487959793,0.061 +3613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.437207694,0.061 +3614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.235911204,0.061 +3615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.074768131,0.061 +3616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.827870254,0.061 +3617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.75121019,0.061 +3611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.097282278,0.061 +3618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.14111868,0.061 +3619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.097090105,0.061 +3622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.743999823,0.061 +3621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.587720585,0.061 +3623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.816173749,0.061 +3624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.268640403,0.061 +3625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.044279707,0.061 +3620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.292706873,0.061 +3626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.69050688,0.061 +3627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.130168959,0.061 +3628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.374682243,0.061 +3629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.651157685,0.061 +3630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.227472369,0.061 +3633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.506787089,0.061 +3634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.452670449,0.061 +3631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.019412819,0.061 +3632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.448751055,0.061 +3635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.54971793,0.061 +3636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.068146278,0.061 +3637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.004529911,0.061 +3639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.190194825,0.061 +3638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.466073109,0.061 +3641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.187514199,0.061 +3640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.702825591,0.061 +3642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.280024391,0.061 +3644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.25827083,0.061 +3645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.738743936,0.061 +3646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.382573605,0.061 +3643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.371766939,0.061 +3647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.559475925,0.061 +3648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.695551059,0.061 +3649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.486333278,0.061 +3651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.097344415,0.061 +3652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.09810082,0.061 +3654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.83237922,0.061 +3653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.113805958,0.061 +3655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.695982583,0.061 +3656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.355052211,0.061 +3650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.108112048,0.061 +3657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.495220027,0.061 +3658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.730199649,0.061 +3661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.236770826,0.061 +3659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.171493212,0.061 +3660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.468689736,0.061 +3663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.892227043,0.061 +3662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.05590656,0.061 +3664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.823854421,0.061 +3665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.58428051,0.061 +3666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.49568228,0.061 +3668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.829549393,0.061 +3669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.377003131,0.061 +3667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.346972085,0.061 +3670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.320301384,0.061 +3671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.769687147,0.061 +3673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.026652149,0.061 +3675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.682180058,0.061 +3677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.659316066,0.061 +3672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.377949318,0.061 +3676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.089943405,0.061 +3678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.75174068,0.061 +3674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.417135903,0.061 +3679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.289132713,0.061 +3680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.26377475,0.061 +3684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.021372712,0.061 +3683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.252265188,0.061 +3681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.532462362,0.061 +3685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.291365894,0.061 +3682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.768939894,0.061 +3686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.002543621,0.061 +3687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.111402417,0.061 +3688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.518951987,0.061 +3689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.136160212,0.061 +3691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.788773743,0.061 +3693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.02671697,0.061 +3694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.371536019,0.061 +3692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.768800055,0.061 +3695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.104559187,0.061 +3690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.704364227,0.061 +3696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.70521129,0.061 +3698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.422395331,0.061 +3697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.108495702,0.061 +3699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.056197846,0.061 +3701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.223519335,0.061 +3700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.104395498,0.061 +3703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.370021397,0.061 +3702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.04075775,0.061 +3704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.179307047,0.061 +3705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.702617355,0.061 +3707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.427014018,0.061 +3706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.548645869,0.061 +3709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.152636682,0.061 +3708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.090478537,0.061 +3710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.680410719,0.061 +3712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.612135443,0.061 +3711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.612912524,0.061 +3714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.005534414,0.061 +3715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.169010986,0.061 +3713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.379791885,0.061 +3717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.342210705,0.061 +3718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.287816855,0.061 +3716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.323849402,0.061 +3719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.758880288,0.061 +3720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.134744087,0.061 +3721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.579297892,0.061 +3722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.255867012,0.061 +3723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.25816296,0.061 +3724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.730332908,0.061 +3726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.723582208,0.061 +3728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.708730976,0.061 +3725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.007337373,0.061 +3727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.384504732,0.061 +3729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.347868016,0.061 +3730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.300718471,0.061 +3731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.579693026,0.061 +3732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.033502458,0.061 +3733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.700163971,0.061 +3735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.345894035,0.061 +3734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.375055122,0.061 +3737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.710422862,0.061 +3736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.018879099,0.061 +3739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.210196519,0.061 +3738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.707895609,0.061 +3740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.335460508,0.061 +3741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.236276596,0.061 +3743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.453571411,0.061 +3744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.133150531,0.061 +3746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.240355214,0.061 +3742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.499923449,0.061 +3745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.761123975,0.061 +3747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.466408093,0.061 +3748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.644443927,0.061 +3749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.040121589,0.061 +3750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.165299532,0.061 +3751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.308892427,0.061 +3755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.491454466,0.061 +3753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.111355163,0.061 +3754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.548107401,0.061 +3752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.592462538,0.061 +3756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.56098193,0.061 +3757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.76616522,0.061 +3758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.174395014,0.061 +3759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.068552393,0.061 +3763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.560389495,0.061 +3762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.597248372,0.061 +3761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.138613599,0.061 +3764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.405082421,0.061 +3765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.242785539,0.061 +3760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.021496145,0.061 +3766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.434272527,0.061 +3767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.709454888,0.061 +3768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.08148993,0.061 +3770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.032999366,0.061 +3771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.54735359,0.061 +3772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.100435997,0.061 +3773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.464325112,0.061 +3774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.069828601,0.061 +3769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.596563756,0.061 +3775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.646457664,0.061 +3776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.401276397,0.061 +3777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.288139915,0.061 +3778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.386506967,0.061 +3779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.72014874,0.061 +3780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.258430365,0.061 +3782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.844758971,0.061 +3781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.611241705,0.061 +3783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.683461414,0.061 +3784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.573466334,0.061 +3785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.667221905,0.061 +3786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.318496797,0.061 +3787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.472630134,0.061 +3788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.390334401,0.061 +3790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.330064544,0.061 +3791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.80692045,0.061 +3789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.395685185,0.061 +3792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.112075644,0.061 +3793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.306982354,0.061 +3794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.736103225,0.061 +3795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.685297851,0.061 +3796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.301936231,0.061 +3797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.432495019,0.061 +3798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.774868151,0.061 +3800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.164097938,0.061 +3799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.070599904,0.061 +3801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.346871672,0.061 +3802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.334466022,0.061 +3803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.142222665,0.061 +3804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.87044281,0.061 +3806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.497921521,0.061 +3805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.503773848,0.061 +3807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.381890233,0.061 +3808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.175834346,0.061 +3809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.356520654,0.061 +3810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.688937122,0.061 +3811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.425759779,0.061 +3812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.393606611,0.061 +3814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.034525098,0.061 +3813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.86176596,0.061 +3815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.517910141,0.061 +3817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.100829731,0.061 +3818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.242274042,0.061 +3819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.463698967,0.061 +3820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.304816241,0.061 +3816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.520688285,0.061 +3821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.192113821,0.061 +3822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.437350964,0.061 +3823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.437448275,0.061 +3824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.566129449,0.061 +3825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.006183685,0.061 +3826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.213572099,0.061 +3827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.521883308,0.061 +3828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.342600541,0.061 +3829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.047907959,0.061 +3830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.269724643,0.061 +3831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.662966377,0.061 +3832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.42217419,0.061 +3833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.66452647,0.061 +3835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.699609546,0.061 +3834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.345590334,0.061 +3837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.650687498,0.061 +3838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.571651851,0.061 +3836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.432593849,0.061 +3839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.536480663,0.061 +3840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.767212054,0.061 +3841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.404458874,0.061 +3842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.186400896,0.061 +3843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.312004021,0.061 +3844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.160296509,0.061 +3845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.409786015,0.061 +3847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.47936059,0.061 +3846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.467430578,0.061 +3848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.262986044,0.061 +3849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.100716664,0.061 +3851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.045187005,0.061 +3850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.246515234,0.061 +3853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.245501174,0.061 +3852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.582914293,0.061 +3854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.023470282,0.061 +3855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.475142372,0.061 +3856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.356271186,0.061 +3857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.638541076,0.061 +3858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.026490584,0.061 +3859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.171130524,0.061 +3860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.690287671,0.061 +3861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.265032338,0.061 +3862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.077373202,0.061 +3864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.489210298,0.061 +3863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.653902347,0.061 +3866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.383591736,0.061 +3867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.368292577,0.061 +3868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.811570757,0.061 +3869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.606891534,0.061 +3865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.748557011,0.061 +3870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.488958536,0.061 +3871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.624969074,0.061 +3872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.549958983,0.061 +3873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.288200253,0.061 +3874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.180554079,0.061 +3877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.329348494,0.061 +3875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.543516776,0.061 +3876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.070810015,0.061 +3878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.666183473,0.061 +3881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.173456357,0.061 +3879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.657508491,0.061 +3882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.524450344,0.061 +3884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.068560241,0.061 +3885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.796864267,0.061 +3883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.396602081,0.061 +3880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.516898327,0.061 +3886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.309872126,0.061 +3888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.383045377,0.061 +3889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.048716998,0.061 +3887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.573625722,0.061 +3891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.320334079,0.061 +3892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.30768932,0.061 +3890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.036912734,0.061 +3894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.710697521,0.061 +3893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.457275703,0.061 +3896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.500528743,0.061 +3895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.62837133,0.061 +3897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.531808818,0.061 +3898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.768727418,0.061 +3899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.065383343,0.061 +3900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.673579835,0.061 +3901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.375309205,0.061 +3903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.620503977,0.061 +3904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.783755539,0.061 +3907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.217523188,0.061 +3905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.030677212,0.061 +3902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.027774275,0.061 +3906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.16614587,0.061 +3908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.211751149,0.061 +3909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.126255323,0.061 +3910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.211370871,0.061 +3911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.400826932,0.061 +3912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.085241717,0.061 +3915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.700418801,0.061 +3916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.801329944,0.061 +3913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.63915625,0.061 +3914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.208174801,0.061 +3917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.006751465,0.061 +3918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.500839621,0.061 +3919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.557280723,0.061 +3920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.419916917,0.061 +3921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.361538346,0.061 +3922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.480938179,0.061 +3923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.065484657,0.061 +3925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.001050534,0.061 +3924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.435809484,0.061 +3927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.719114679,0.061 +3926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.539148986,0.061 +3928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.623459566,0.061 +3929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.782244969,0.061 +3930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.245066664,0.061 +3931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.029878756,0.061 +3932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.668318038,0.061 +3934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.187039006,0.061 +3933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.42163535,0.061 +3935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.782242981,0.061 +3936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.085947165,0.061 +3937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,2.60E-04,0.061 +3938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.494485921,0.061 +3939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.748422567,0.061 +3940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.072402684,0.061 +3941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.056837706,0.061 +3943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.017957459,0.061 +3944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.170000692,0.061 +3942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.350923612,0.061 +3945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.44991577,0.061 +3946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.647679967,0.061 +3947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.170448294,0.061 +3948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.356763201,0.061 +3949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.168136784,0.061 +3950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.250086714,0.061 +3953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.805041022,0.061 +3951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.154603581,0.061 +3954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.458763131,0.061 +3952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.552706483,0.061 +3955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.600016196,0.061 +3956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.482701593,0.061 +3957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.388141187,0.061 +3958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.211018952,0.061 +3959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.7214544,0.061 +3960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.046503598,0.061 +3961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.147823143,0.061 +3963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.303516595,0.061 +3962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.381169001,0.061 +3964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.649084833,0.061 +3965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.067678481,0.061 +3967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.544654555,0.061 +3968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.69590311,0.061 +3966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.119014506,0.061 +3969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.115408462,0.061 +3970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.071569591,0.061 +3971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.679156904,0.061 +3972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.516780827,0.061 +3973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.02598615,0.061 +3974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.618426555,0.061 +3975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.027539106,0.061 +3977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.685117747,0.061 +3978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.040625651,0.061 +3979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.41244871,0.061 +3980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.126509038,0.061 +3976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.273887621,0.061 +3981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.233898287,0.061 +3982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.101993616,0.061 +3984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.305884834,0.061 +3983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.01326443,0.061 +3985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,0.082747205,0.061 +3988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.285285025,0.061 +3987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.364335948,0.061 +3989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.80078221,0.061 +3986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.236166512,0.061 +3990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.613396372,0.061 +3992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.529982318,0.061 +3993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.03867651,0.061 +3991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.673421872,0.061 +3994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.69796034,0.061 +3995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.484683435,0.061 +3996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.764626059,0.061 +3997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.689307159,0.061 +3998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.545408225,0.061 +3999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.069084498,0.061 +4000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.15,10,1,-0.340623722,0.061 +4001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.468827014,0.056 +4003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.054995938,0.056 +4004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.692567409,0.056 +4002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.634627001,0.056 +4006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.490938116,0.056 +4007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.580479642,0.056 +4005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.502062479,0.056 +4008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.51274092,0.056 +4010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.337629811,0.056 +4009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.396404863,0.056 +4011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.016316638,0.056 +4012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.399495151,0.056 +4013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.673077373,0.056 +4015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.643001394,0.056 +4014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.288671171,0.056 +4016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.264241467,0.056 +4018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.375793096,0.056 +4019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.112407365,0.056 +4020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.11541237,0.056 +4017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.362110027,0.056 +4021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.768435088,0.056 +4023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.784493965,0.056 +4025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.196253677,0.056 +4024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.100130339,0.056 +4026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.600301982,0.056 +4028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.26635211,0.056 +4022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.118906935,0.056 +4027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.168050605,0.056 +4029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.09188481,0.056 +4030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.814616381,0.056 +4031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.413535921,0.056 +4034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.459904142,0.056 +4032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.620185119,0.056 +4033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.048359263,0.056 +4035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.151156391,0.056 +4036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.246221361,0.056 +4037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.435737157,0.056 +4038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.491725322,0.056 +4039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.018510636,0.056 +4040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.841441176,0.056 +4041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.361910522,0.056 +4042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.484885409,0.056 +4043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.033008858,0.056 +4044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.658730096,0.056 +4045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.587418833,0.056 +4046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.515150851,0.056 +4048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.84708815,0.056 +4049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.329981403,0.056 +4047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.317451684,0.056 +4051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.017344787,0.056 +4050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.023552656,0.056 +4052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.651214448,0.056 +4053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.339307434,0.056 +4054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.451844238,0.056 +4055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.025909143,0.056 +4057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.31836,0.056 +4056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.25336717,0.056 +4058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.431461869,0.056 +4059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.1712174,0.056 +4060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.693692799,0.056 +4061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.021937961,0.056 +4062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.564696938,0.056 +4064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.068336527,0.056 +4063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.578715806,0.056 +4067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.486395594,0.056 +4068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.494253417,0.056 +4069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.85306231,0.056 +4066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.719146902,0.056 +4070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.287911816,0.056 +4065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.11040761,0.056 +4071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.154602631,0.056 +4072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.304089676,0.056 +4073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.17276145,0.056 +4075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.771863163,0.056 +4078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.741930664,0.056 +4074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.029288432,0.056 +4076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.511556776,0.056 +4077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.4519477,0.056 +4079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.195964423,0.056 +4081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.242061665,0.056 +4080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.136556751,0.056 +4082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.443416298,0.056 +4084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.481679106,0.056 +4086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.545208535,0.056 +4085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.078363737,0.056 +4083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.038069562,0.056 +4087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.120297642,0.056 +4089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.535919931,0.056 +4088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.528685703,0.056 +4090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.493819141,0.056 +4091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.387717471,0.056 +4092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.016075922,0.056 +4094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.796512698,0.056 +4093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.347405869,0.056 +4095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.477459295,0.056 +4096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.037337815,0.056 +4097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.072750278,0.056 +4098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.567845775,0.056 +4099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.765827125,0.056 +4100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.385057706,0.056 +4101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.507026013,0.056 +4103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.199286696,0.056 +4104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.115068891,0.056 +4105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.46153874,0.056 +4106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.488208937,0.056 +4102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.174387212,0.056 +4107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.146877853,0.056 +4108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.419931338,0.056 +4109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.428415097,0.056 +4110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.033557545,0.056 +4111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.268991035,0.056 +4112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.652766164,0.056 +4113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.329955445,0.056 +4115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.676096942,0.056 +4116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.559039614,0.056 +4114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.812690136,0.056 +4117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.549304869,0.056 +4118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.633072528,0.056 +4119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.032254376,0.056 +4120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.029527616,0.056 +4121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.449638171,0.056 +4123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.674979889,0.056 +4122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.217805607,0.056 +4125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.11076276,0.056 +4124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.653248112,0.056 +4127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.47634895,0.056 +4126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.717571858,0.056 +4128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.619441443,0.056 +4129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.379874996,0.056 +4131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.60518426,0.056 +4130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.101486186,0.056 +4132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.204770029,0.056 +4135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.70373118,0.056 +4134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.638875457,0.056 +4133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.470732059,0.056 +4136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.664776931,0.056 +4137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.760152709,0.056 +4138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.741614277,0.056 +4139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.245918534,0.056 +4141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.315330896,0.056 +4140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.556214474,0.056 +4142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.497219934,0.056 +4143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.474404374,0.056 +4145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.638266044,0.056 +4144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.785111436,0.056 +4146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.712912817,0.056 +4147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.103626107,0.056 +4148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.154262053,0.056 +4149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.454973043,0.056 +4150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.416250654,0.056 +4151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.657972475,0.056 +4155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.615589621,0.056 +4152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.400837213,0.056 +4154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.060989649,0.056 +4153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.561925036,0.056 +4157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.740421997,0.056 +4156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.067021341,0.056 +4158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.677113776,0.056 +4160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.298799025,0.056 +4162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.110367935,0.056 +4163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.35069475,0.056 +4161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.240860701,0.056 +4159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.366527345,0.056 +4164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.232177421,0.056 +4165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.491020979,0.056 +4166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.284961257,0.056 +4168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.002029786,0.056 +4169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.541850504,0.056 +4170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.201622868,0.056 +4171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.170194085,0.056 +4172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.728201346,0.056 +4173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.298008994,0.056 +4167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.116979327,0.056 +4174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.261051916,0.056 +4175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.579955064,0.056 +4176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.166687544,0.056 +4177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.120749065,0.056 +4178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.439854811,0.056 +4179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.437883644,0.056 +4181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.032576097,0.056 +4180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.498768903,0.056 +4182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.356949483,0.056 +4184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.362441392,0.056 +4186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.45811849,0.056 +4183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.446566075,0.056 +4187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.253880438,0.056 +4185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.702880517,0.056 +4189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.124353277,0.056 +4190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.904703144,0.056 +4188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.415781434,0.056 +4192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.449526524,0.056 +4193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.093400217,0.056 +4191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.536097574,0.056 +4195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.537515183,0.056 +4196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.144637848,0.056 +4198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.345994375,0.056 +4197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.057917513,0.056 +4194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.03589031,0.056 +4199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.782614394,0.056 +4201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.183040207,0.056 +4203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.290628058,0.056 +4200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.615626814,0.056 +4204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.050676301,0.056 +4205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.692558114,0.056 +4202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.475453604,0.056 +4207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.323295607,0.056 +4208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.165524936,0.056 +4206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.439659632,0.056 +4209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.126027347,0.056 +4210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.4568933,0.056 +4212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.697230211,0.056 +4211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.034311118,0.056 +4214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.522539484,0.056 +4215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.24710159,0.056 +4213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.299586254,0.056 +4217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.112681248,0.056 +4218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.718019502,0.056 +4216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.367828324,0.056 +4221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.355149464,0.056 +4219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.597137146,0.056 +4220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.090898385,0.056 +4222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.395140527,0.056 +4223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.576934015,0.056 +4224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.506323172,0.056 +4225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.160500925,0.056 +4226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.114022003,0.056 +4228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.135957397,0.056 +4230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.847377298,0.056 +4233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.423514038,0.056 +4229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.326128082,0.056 +4232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.585799034,0.056 +4231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.420851916,0.056 +4234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.02405844,0.056 +4235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.679322933,0.056 +4236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.749273354,0.056 +4227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.050796188,0.056 +4237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.128221651,0.056 +4238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.145448505,0.056 +4239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.298286419,0.056 +4240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.441939206,0.056 +4241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.406630232,0.056 +4243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.661961991,0.056 +4244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.050939636,0.056 +4245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.641638665,0.056 +4246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.50196213,0.056 +4247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.114067792,0.056 +4248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.127014323,0.056 +4242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.722338287,0.056 +4251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.04608197,0.056 +4249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.254532999,0.056 +4252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.301432962,0.056 +4250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.36647575,0.056 +4253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.421036517,0.056 +4254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.219603157,0.056 +4255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.026994755,0.056 +4256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.504871772,0.056 +4257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.661107509,0.056 +4259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.63162379,0.056 +4261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.825733862,0.056 +4258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.567143733,0.056 +4262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.617745643,0.056 +4264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.574666159,0.056 +4263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.180380458,0.056 +4265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.33933494,0.056 +4266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.071014445,0.056 +4267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.756698992,0.056 +4268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.630856714,0.056 +4260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.172927522,0.056 +4269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.187801244,0.056 +4270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.38668795,0.056 +4271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.455656838,0.056 +4273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.069777362,0.056 +4274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.42908026,0.056 +4277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.016544938,0.056 +4275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.639879781,0.056 +4276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.408058576,0.056 +4279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.513640115,0.056 +4278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.248820307,0.056 +4280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.025866639,0.056 +4281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.197567346,0.056 +4283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.574080394,0.056 +4282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.590458421,0.056 +4272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.256821612,0.056 +4286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.673234555,0.056 +4285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.081141317,0.056 +4284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.498391279,0.056 +4287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.106758101,0.056 +4289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.084893356,0.056 +4291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.385978138,0.056 +4290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.445431664,0.056 +4288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.264756517,0.056 +4292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.068964881,0.056 +4293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.377148498,0.056 +4294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.822171448,0.056 +4295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.236770173,0.056 +4296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.262902515,0.056 +4297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.294509899,0.056 +4298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.491906259,0.056 +4299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.5783513,0.056 +4300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.371831116,0.056 +4303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.281653243,0.056 +4301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.296821234,0.056 +4304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.727256406,0.056 +4305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.268674468,0.056 +4302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.603047874,0.056 +4306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.273032566,0.056 +4307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.673185709,0.056 +4308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.782153074,0.056 +4310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.429417661,0.056 +4309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.466304596,0.056 +4311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.430313207,0.056 +4312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.76877221,0.056 +4314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.028253274,0.056 +4313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.533631812,0.056 +4315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.382712695,0.056 +4316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.196228389,0.056 +4318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.721549805,0.056 +4317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.493405416,0.056 +4321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.733508775,0.056 +4320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.619859045,0.056 +4322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.433367488,0.056 +4323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.15267142,0.056 +4319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.168258934,0.056 +4324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.688642662,0.056 +4326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.319233766,0.056 +4328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.564497801,0.056 +4325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.184087812,0.056 +4327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.570184213,0.056 +4329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.080408407,0.056 +4330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.01862954,0.056 +4331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.803500056,0.056 +4332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.284586494,0.056 +4333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.625312049,0.056 +4335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.772802105,0.056 +4336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.724272961,0.056 +4338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.375871732,0.056 +4334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.060732687,0.056 +4337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.546201462,0.056 +4339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.354623986,0.056 +4340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.118966703,0.056 +4341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.529662089,0.056 +4342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.646163688,0.056 +4343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.184806162,0.056 +4344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.740399572,0.056 +4345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.033302014,0.056 +4348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.728802889,0.056 +4347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.70823364,0.056 +4346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.708429466,0.056 +4349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.512434445,0.056 +4350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.46967233,0.056 +4352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.089695527,0.056 +4351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.208723635,0.056 +4355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.361877543,0.056 +4353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.756520723,0.056 +4354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.523514026,0.056 +4357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.403615409,0.056 +4358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.769274249,0.056 +4359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.015828418,0.056 +4356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.168073292,0.056 +4360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.452433057,0.056 +4363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.068596112,0.056 +4362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.421076299,0.056 +4361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.501048881,0.056 +4364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.045521342,0.056 +4365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.68972674,0.056 +4366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.551859286,0.056 +4368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.167363198,0.056 +4370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.35598849,0.056 +4367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.511951136,0.056 +4369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.031703183,0.056 +4371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.224380006,0.056 +4372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.664973507,0.056 +4373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.558847182,0.056 +4375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.749469414,0.056 +4376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.445478869,0.056 +4378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.331082049,0.056 +4374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.08932846,0.056 +4379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.563876569,0.056 +4380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.679170254,0.056 +4381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.681802208,0.056 +4377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.118619378,0.056 +4382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.328477912,0.056 +4383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.062227005,0.056 +4385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.780697301,0.056 +4384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.30005654,0.056 +4386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.470144594,0.056 +4387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.028387389,0.056 +4388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.45355455,0.056 +4389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.648562795,0.056 +4390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.399162871,0.056 +4393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.13782093,0.056 +4392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.465845245,0.056 +4391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.304537267,0.056 +4394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.59092526,0.056 +4395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.017377086,0.056 +4396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.071916115,0.056 +4398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.460441661,0.056 +4397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.205423138,0.056 +4400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.449758982,0.056 +4399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.574935793,0.056 +4401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.711744692,0.056 +4402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.177810287,0.056 +4403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.649680381,0.056 +4404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.423294889,0.056 +4405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.512764263,0.056 +4407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.290818296,0.056 +4408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.775454811,0.056 +4406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.056428863,0.056 +4409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.325203569,0.056 +4410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.467501274,0.056 +4411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.692108602,0.056 +4412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.594990234,0.056 +4413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.736624852,0.056 +4414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.436566022,0.056 +4415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.825598549,0.056 +4417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.306603861,0.056 +4418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.018468481,0.056 +4416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.489370336,0.056 +4419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.298132702,0.056 +4420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.710517101,0.056 +4421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.716963447,0.056 +4422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.548421453,0.056 +4425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.426499966,0.056 +4424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.179326801,0.056 +4423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.646161006,0.056 +4427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.329215648,0.056 +4428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.44396617,0.056 +4426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.359184345,0.056 +4429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.306220473,0.056 +4430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.576536107,0.056 +4431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.359382947,0.056 +4432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.151067933,0.056 +4433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.397624489,0.056 +4435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.600967548,0.056 +4434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.271370063,0.056 +4437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.202622678,0.056 +4438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.265048508,0.056 +4439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.214141966,0.056 +4440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.126262738,0.056 +4436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.29404904,0.056 +4442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.031132564,0.056 +4441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.744206841,0.056 +4443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.731389737,0.056 +4444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.233249547,0.056 +4446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.46214177,0.056 +4445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.442378695,0.056 +4447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.359716208,0.056 +4448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.516746611,0.056 +4449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.633825458,0.056 +4451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.61009054,0.056 +4450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.731663209,0.056 +4452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.692723211,0.056 +4454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.589234463,0.056 +4455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.333340037,0.056 +4453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.599016111,0.056 +4457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.026985353,0.056 +4459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.522175399,0.056 +4456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.395509856,0.056 +4458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.566498089,0.056 +4460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.739276819,0.056 +4461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.783859318,0.056 +4462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.455985618,0.056 +4463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.793534131,0.056 +4464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.421160174,0.056 +4467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.481733478,0.056 +4468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.157460057,0.056 +4466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.061689008,0.056 +4465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.133805613,0.056 +4469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.191092262,0.056 +4470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.627682469,0.056 +4471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.662023877,0.056 +4474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.694512213,0.056 +4472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.623955029,0.056 +4476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.041631833,0.056 +4477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.597169352,0.056 +4473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.606620024,0.056 +4478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.335008173,0.056 +4475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.035336579,0.056 +4479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.34951911,0.056 +4480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.109429404,0.056 +4481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.105686653,0.056 +4483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.663428138,0.056 +4482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.272379715,0.056 +4487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.437329232,0.056 +4486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.536782407,0.056 +4485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.811506923,0.056 +4484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.614183635,0.056 +4488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.241704778,0.056 +4490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.395171038,0.056 +4489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.558817817,0.056 +4491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.287463262,0.056 +4492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.515954578,0.056 +4493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.621899351,0.056 +4495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.697351011,0.056 +4496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.414863948,0.056 +4494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.081107633,0.056 +4498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.02496188,0.056 +4497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.315918496,0.056 +4499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.567258018,0.056 +4500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.365095194,0.056 +4501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.729791211,0.056 +4502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.769181075,0.056 +4504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.512371865,0.056 +4503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.801293474,0.056 +4505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.639907288,0.056 +4507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.572354377,0.056 +4508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.207488254,0.056 +4506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.655629872,0.056 +4509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.566282877,0.056 +4510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.695202649,0.056 +4511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.177503876,0.056 +4512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.192666865,0.056 +4513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.124812862,0.056 +4515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.387024202,0.056 +4514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.356917012,0.056 +4516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.175024168,0.056 +4517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.062273336,0.056 +4518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.006900401,0.056 +4519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.74628756,0.056 +4521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.16832509,0.056 +4522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.623163219,0.056 +4523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.762810201,0.056 +4520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.073454257,0.056 +4524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.636680386,0.056 +4525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.548962885,0.056 +4526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.023862952,0.056 +4527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.568569897,0.056 +4528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.241400129,0.056 +4529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.604658417,0.056 +4533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.486653204,0.056 +4532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.792042965,0.056 +4530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.208046334,0.056 +4531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.504840463,0.056 +4535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.789658833,0.056 +4534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.123226014,0.056 +4536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.050030572,0.056 +4540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.49584108,0.056 +4537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.114570531,0.056 +4538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.693236198,0.056 +4541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.34430727,0.056 +4539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.234936144,0.056 +4542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.790019721,0.056 +4543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.576441644,0.056 +4544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.574742316,0.056 +4547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.0444221,0.056 +4546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.024556758,0.056 +4545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.145740271,0.056 +4549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.068433062,0.056 +4550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.10009644,0.056 +4551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.009099712,0.056 +4548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.432798308,0.056 +4552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.18278325,0.056 +4553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.002002624,0.056 +4555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.147928381,0.056 +4554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.301990876,0.056 +4556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.026009581,0.056 +4557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.111967919,0.056 +4559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.547477703,0.056 +4558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.084855246,0.056 +4560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.279738624,0.056 +4562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.283450784,0.056 +4561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.412938862,0.056 +4563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.578522139,0.056 +4565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.75904347,0.056 +4564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.705453484,0.056 +4567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.664191289,0.056 +4568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.111438212,0.056 +4566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.554317035,0.056 +4570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.220231529,0.056 +4569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.21401608,0.056 +4571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.591451273,0.056 +4573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.092703778,0.056 +4572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.056164006,0.056 +4575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.776348383,0.056 +4576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.449344613,0.056 +4574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.101068272,0.056 +4578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.233428275,0.056 +4577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.393618964,0.056 +4581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.529153432,0.056 +4579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.760723671,0.056 +4580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.787182242,0.056 +4582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.668222761,0.056 +4584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.560863016,0.056 +4583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.025572979,0.056 +4586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.378727072,0.056 +4587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.036012935,0.056 +4585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.370813158,0.056 +4588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.099753167,0.056 +4589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,6.69E-04,0.056 +4590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.473896004,0.056 +4591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.598127307,0.056 +4593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.29406406,0.056 +4594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.659689509,0.056 +4595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.631413517,0.056 +4596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.009696998,0.056 +4597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.017548034,0.056 +4598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.489975108,0.056 +4592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.636928063,0.056 +4601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.035338641,0.056 +4600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.300225902,0.056 +4599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.502964631,0.056 +4603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.538621666,0.056 +4602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.590530504,0.056 +4606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.479818305,0.056 +4604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.188054414,0.056 +4605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.063684024,0.056 +4608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.540225881,0.056 +4607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.134988621,0.056 +4609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.412040052,0.056 +4610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.115658617,0.056 +4611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.488411346,0.056 +4613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.153631452,0.056 +4614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.433206678,0.056 +4616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.133793791,0.056 +4615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.544960926,0.056 +4619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.261429986,0.056 +4612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.26299849,0.056 +4617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.756189026,0.056 +4618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.384966973,0.056 +4620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.299594711,0.056 +4621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.048041863,0.056 +4622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.692473019,0.056 +4623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.219651325,0.056 +4626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.270408546,0.056 +4627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.292938637,0.056 +4625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.363034217,0.056 +4624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.02070037,0.056 +4628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.332168246,0.056 +4631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.212409205,0.056 +4629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.683449804,0.056 +4630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.074588222,0.056 +4632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.590433538,0.056 +4633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.725328077,0.056 +4635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.3117732,0.056 +4636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.612882904,0.056 +4637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.27242079,0.056 +4634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.585078858,0.056 +4638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.04405631,0.056 +4639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.666896182,0.056 +4640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.277822611,0.056 +4641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.280001609,0.056 +4643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.35383155,0.056 +4642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.435400178,0.056 +4644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.304181303,0.056 +4645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.076559596,0.056 +4648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.20913754,0.056 +4646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.487984553,0.056 +4649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.726715174,0.056 +4647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.234747201,0.056 +4650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.179138043,0.056 +4651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.306960987,0.056 +4652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.830129126,0.056 +4655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.80219014,0.056 +4656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.361233754,0.056 +4654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.484502466,0.056 +4657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.619598201,0.056 +4653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.640144558,0.056 +4659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.842775362,0.056 +4658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.678270705,0.056 +4660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.0344414,0.056 +4661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.795847118,0.056 +4662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.357844095,0.056 +4663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.056082872,0.056 +4664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.473687408,0.056 +4665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.243000351,0.056 +4666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.289007663,0.056 +4667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.211377169,0.056 +4668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.449237109,0.056 +4669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.747832708,0.056 +4671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.384777211,0.056 +4672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.102035894,0.056 +4670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.277829962,0.056 +4674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.098083982,0.056 +4673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.491021285,0.056 +4676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.251513583,0.056 +4675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.068365083,0.056 +4678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.42400497,0.056 +4677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.481323895,0.056 +4679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.808952233,0.056 +4680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.011344371,0.056 +4682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.055584598,0.056 +4683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.525966799,0.056 +4681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.671894632,0.056 +4684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.074376142,0.056 +4686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.23658288,0.056 +4687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.719817942,0.056 +4689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.740835228,0.056 +4690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.811113552,0.056 +4688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.196653838,0.056 +4685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.167604729,0.056 +4691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.720254819,0.056 +4692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.314651421,0.056 +4694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.110416317,0.056 +4693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.614705593,0.056 +4695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.318156941,0.056 +4697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.482308823,0.056 +4698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.637028459,0.056 +4699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.280652454,0.056 +4696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.541650704,0.056 +4700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.336583294,0.056 +4702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.392982296,0.056 +4704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.478644499,0.056 +4705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.044102152,0.056 +4703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.337327449,0.056 +4706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.523242528,0.056 +4701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.253353508,0.056 +4707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.533423478,0.056 +4708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.017922172,0.056 +4709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.358710727,0.056 +4711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.245983626,0.056 +4710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.117255479,0.056 +4713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.294804422,0.056 +4714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.282033588,0.056 +4712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.361464165,0.056 +4716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.081503583,0.056 +4715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.582851115,0.056 +4717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.091443105,0.056 +4718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.777780548,0.056 +4719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.403842126,0.056 +4721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.745562737,0.056 +4720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.135279612,0.056 +4722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.629388328,0.056 +4723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.851432786,0.056 +4724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.161855908,0.056 +4725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.446446558,0.056 +4727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.434317185,0.056 +4729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.582844648,0.056 +4728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.682755723,0.056 +4726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.720101125,0.056 +4731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.183367778,0.056 +4732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.4193341,0.056 +4733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.45854671,0.056 +4734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.602558602,0.056 +4730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.054102044,0.056 +4736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.706600152,0.056 +4737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.103510531,0.056 +4735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.386741941,0.056 +4738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.560041043,0.056 +4739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.036942134,0.056 +4741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.054602386,0.056 +4740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.396087699,0.056 +4742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.790996947,0.056 +4744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.230386505,0.056 +4743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.427398883,0.056 +4745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.710978181,0.056 +4746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.462653554,0.056 +4747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.225351293,0.056 +4748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.099915307,0.056 +4752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.37955102,0.056 +4750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.098852263,0.056 +4749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.30497312,0.056 +4753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.596795141,0.056 +4754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.941141709,0.056 +4751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.750257421,0.056 +4755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.658970032,0.056 +4756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.018152315,0.056 +4757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.42330722,0.056 +4759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.059394852,0.056 +4758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.546698252,0.056 +4760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.479196824,0.056 +4761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.081586363,0.056 +4762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.105731077,0.056 +4763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.390178282,0.056 +4768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.254585048,0.056 +4765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.389666504,0.056 +4767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.655285715,0.056 +4766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.623202926,0.056 +4764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.031587771,0.056 +4769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.013683339,0.056 +4771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.580424711,0.056 +4770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.580183245,0.056 +4772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.242538924,0.056 +4773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.092567922,0.056 +4775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.639366492,0.056 +4776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.173478051,0.056 +4777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.434747261,0.056 +4779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.077123372,0.056 +4778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.121365193,0.056 +4774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.391314814,0.056 +4780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.279881705,0.056 +4781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.363736821,0.056 +4783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.195608595,0.056 +4782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.325311389,0.056 +4784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.055303969,0.056 +4785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.706423194,0.056 +4786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.777805806,0.056 +4788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.816582997,0.056 +4787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.178306169,0.056 +4789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.286323066,0.056 +4791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.279783149,0.056 +4790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.365923258,0.056 +4792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.313600138,0.056 +4793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.093905478,0.056 +4794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.588874064,0.056 +4797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.648090388,0.056 +4795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.388613057,0.056 +4796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.499792784,0.056 +4798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.554251348,0.056 +4799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.204228819,0.056 +4800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.570637023,0.056 +4801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.025171774,0.056 +4802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.518636392,0.056 +4803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.156385851,0.056 +4804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.488018138,0.056 +4806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.309932152,0.056 +4805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.615322782,0.056 +4808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.164403118,0.056 +4807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.500872242,0.056 +4811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.239520297,0.056 +4809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.52686398,0.056 +4812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.658282498,0.056 +4810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.572138127,0.056 +4813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.604898459,0.056 +4816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.624865674,0.056 +4815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.396590704,0.056 +4818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.739882423,0.056 +4814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.428763436,0.056 +4819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.331540133,0.056 +4820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.695941279,0.056 +4817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.786557822,0.056 +4821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.524575424,0.056 +4822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.285447642,0.056 +4823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.004590368,0.056 +4824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.02985801,0.056 +4826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.361666178,0.056 +4825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.805158339,0.056 +4828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.074645643,0.056 +4827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.204527782,0.056 +4829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.639334414,0.056 +4831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.464490758,0.056 +4830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.151986248,0.056 +4832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.112192227,0.056 +4835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.029887301,0.056 +4836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.52480178,0.056 +4833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.213234802,0.056 +4834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.487612382,0.056 +4837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-2.25E-05,0.056 +4839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.192737531,0.056 +4840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.239763133,0.056 +4842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.183328406,0.056 +4838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.727402733,0.056 +4843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.498677151,0.056 +4841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.509876137,0.056 +4845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.144213445,0.056 +4844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.033927786,0.056 +4847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.046232097,0.056 +4849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.483626984,0.056 +4848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.274550529,0.056 +4851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.105419984,0.056 +4846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.156150753,0.056 +4852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.195757375,0.056 +4853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.331761891,0.056 +4850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.431766514,0.056 +4854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.590249719,0.056 +4855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.853739567,0.056 +4856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.546294161,0.056 +4857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.522132694,0.056 +4858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.673044847,0.056 +4859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.481850899,0.056 +4861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.558355698,0.056 +4862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.461922757,0.056 +4863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.361522966,0.056 +4865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.422362177,0.056 +4864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.757431947,0.056 +4866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.540289704,0.056 +4860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.553106217,0.056 +4867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.562650692,0.056 +4868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.33497288,0.056 +4870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.056701266,0.056 +4871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.192683439,0.056 +4869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.634851819,0.056 +4872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.087623016,0.056 +4873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.497408433,0.056 +4875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.59075102,0.056 +4876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.295906409,0.056 +4874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.05584365,0.056 +4877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.539151141,0.056 +4879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.656601394,0.056 +4880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.349807911,0.056 +4878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.010374032,0.056 +4881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.104715009,0.056 +4882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.158877769,0.056 +4883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.568602688,0.056 +4885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.523197863,0.056 +4888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.002561067,0.056 +4886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.336422423,0.056 +4884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.586442722,0.056 +4890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.195829905,0.056 +4889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.086893024,0.056 +4887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.053820396,0.056 +4891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.445905475,0.056 +4892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.534518304,0.056 +4893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.340540738,0.056 +4894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.268483491,0.056 +4897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.392639506,0.056 +4898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.275749769,0.056 +4895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.553466833,0.056 +4896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.725880317,0.056 +4899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.511557513,0.056 +4900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.359141443,0.056 +4901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.20605017,0.056 +4902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.493609123,0.056 +4904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.490713201,0.056 +4906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.488613135,0.056 +4903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.028802745,0.056 +4905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.412647981,0.056 +4908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.801485122,0.056 +4909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.236597108,0.056 +4907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.126493562,0.056 +4910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.584152386,0.056 +4911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.234446159,0.056 +4912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.078780848,0.056 +4913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.5020835,0.056 +4916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.210811196,0.056 +4914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.017107765,0.056 +4917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.561031932,0.056 +4918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.047429181,0.056 +4915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.131214429,0.056 +4919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.645751575,0.056 +4921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.109034583,0.056 +4920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.826429141,0.056 +4922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.073637776,0.056 +4924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.149716598,0.056 +4923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.792605888,0.056 +4926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.327209413,0.056 +4927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.461418051,0.056 +4925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.633022578,0.056 +4928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.354333178,0.056 +4929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.020816322,0.056 +4931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.815406864,0.056 +4930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.607778376,0.056 +4934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.489393629,0.056 +4935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.464833334,0.056 +4932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.366219012,0.056 +4936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.744793391,0.056 +4933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.763422747,0.056 +4937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.027128352,0.056 +4938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.508107901,0.056 +4939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.23937794,0.056 +4940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.742748294,0.056 +4941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.670220445,0.056 +4944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.206605124,0.056 +4943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.256689688,0.056 +4942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.613271479,0.056 +4945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.715262253,0.056 +4946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.147030684,0.056 +4947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.791951818,0.056 +4948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.023243683,0.056 +4949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.519699168,0.056 +4950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.540221137,0.056 +4951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.167082255,0.056 +4952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.216619282,0.056 +4954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.301439608,0.056 +4953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.844996637,0.056 +4955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.28447154,0.056 +4956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.37853566,0.056 +4957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.58168093,0.056 +4959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.430689551,0.056 +4958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.576017261,0.056 +4961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.632857643,0.056 +4962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.497086712,0.056 +4963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.17752326,0.056 +4964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.636431853,0.056 +4960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.537205058,0.056 +4965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.001908562,0.056 +4966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.654676572,0.056 +4967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.654121167,0.056 +4968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.003458775,0.056 +4969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.033916352,0.056 +4970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.783805494,0.056 +4971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.462229763,0.056 +4973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.791835888,0.056 +4974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.351754713,0.056 +4976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.755187419,0.056 +4975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.122495569,0.056 +4972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.700305914,0.056 +4978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.250137962,0.056 +4979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.409605746,0.056 +4977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.474429063,0.056 +4981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.550872775,0.056 +4980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.727674593,0.056 +4982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.018876969,0.056 +4983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.425294136,0.056 +4984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.260177655,0.056 +4986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.300902062,0.056 +4985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.202330765,0.056 +4988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.744630686,0.056 +4987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.094025956,0.056 +4989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.777822285,0.056 +4991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.039822638,0.056 +4990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.060929756,0.056 +4993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.550382767,0.056 +4994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.204847186,0.056 +4992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.038200648,0.056 +4996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.163633033,0.056 +4995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.713427145,0.056 +4997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.565718159,0.056 +4998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.031574531,0.056 +4999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,0.032002642,0.056 +5000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.2,10,1,-0.771507936,0.056 +5001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.615356195,0.059 +5003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.075776573,0.059 +5002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.279163314,0.059 +5004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.658789533,0.059 +5005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.578710224,0.059 +5006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.290836524,0.059 +5007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.700722657,0.059 +5008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.450074529,0.059 +5009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.651986354,0.059 +5010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.041818416,0.059 +5012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.438435601,0.059 +5013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.164376192,0.059 +5014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.344844906,0.059 +5011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.518168901,0.059 +5015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.748856849,0.059 +5016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.298207582,0.059 +5017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.797387002,0.059 +5018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.826357655,0.059 +5019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.192684899,0.059 +5020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.182977255,0.059 +5021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.010922136,0.059 +5023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.13906345,0.059 +5022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.34651243,0.059 +5025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.162671853,0.059 +5024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.321575626,0.059 +5026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.354773449,0.059 +5027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.071385315,0.059 +5028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.038087383,0.059 +5030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.100285944,0.059 +5032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.0889496,0.059 +5029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.203035639,0.059 +5033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.066814591,0.059 +5034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.461118286,0.059 +5031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.701534546,0.059 +5035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.768220408,0.059 +5036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.347399006,0.059 +5037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.661235252,0.059 +5039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.621919676,0.059 +5038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.182884322,0.059 +5040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.354476385,0.059 +5041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.129306461,0.059 +5043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.080088038,0.059 +5042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.27267148,0.059 +5045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.067879697,0.059 +5044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.681642119,0.059 +5047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.469907253,0.059 +5049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.34501882,0.059 +5046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.453739818,0.059 +5048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.319540874,0.059 +5050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.248830767,0.059 +5052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.047278581,0.059 +5054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.477117262,0.059 +5056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.6758995,0.059 +5055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.246295899,0.059 +5057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.550889398,0.059 +5051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.402696518,0.059 +5053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.247696714,0.059 +5058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.772128117,0.059 +5059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.829096739,0.059 +5061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.052928661,0.059 +5060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.563072816,0.059 +5063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.732912472,0.059 +5062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.748666265,0.059 +5065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.043346769,0.059 +5064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.026301,0.059 +5066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.790046833,0.059 +5067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.552362718,0.059 +5069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.639199045,0.059 +5068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.482648025,0.059 +5070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.454329652,0.059 +5071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.822310614,0.059 +5072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.095679888,0.059 +5075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.502860253,0.059 +5074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.159596308,0.059 +5073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.570087785,0.059 +5076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.015675379,0.059 +5077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.17612089,0.059 +5079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.009248719,0.059 +5078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.107660968,0.059 +5080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.495260365,0.059 +5082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.826173588,0.059 +5081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.30300918,0.059 +5083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.798717879,0.059 +5084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.023848137,0.059 +5086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.513578732,0.059 +5085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.111380684,0.059 +5087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.493235977,0.059 +5088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.575415834,0.059 +5089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.775881833,0.059 +5090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.665061923,0.059 +5091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.649524233,0.059 +5093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.607465824,0.059 +5095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.119231962,0.059 +5092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.417004767,0.059 +5094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.255983859,0.059 +5096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.119166462,0.059 +5098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.08124312,0.059 +5097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.217432381,0.059 +5100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.245293603,0.059 +5101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.073228824,0.059 +5102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.248472606,0.059 +5103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.575708241,0.059 +5099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.140779897,0.059 +5104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.117390366,0.059 +5105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.196217037,0.059 +5106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.180610629,0.059 +5107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.186253251,0.059 +5108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.80690844,0.059 +5109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.016560362,0.059 +5110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.210252567,0.059 +5112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.0694505,0.059 +5111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.366843697,0.059 +5113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.489370579,0.059 +5114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.815565977,0.059 +5115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.70079506,0.059 +5116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.002322325,0.059 +5118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.83147852,0.059 +5119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.42405069,0.059 +5117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.610196972,0.059 +5120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.042066661,0.059 +5121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.479801746,0.059 +5122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.169370426,0.059 +5123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.728326352,0.059 +5124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.294620349,0.059 +5125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.48109937,0.059 +5127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.614220321,0.059 +5126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.246300558,0.059 +5128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.144196631,0.059 +5129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.588623734,0.059 +5131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.70960918,0.059 +5132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.458141534,0.059 +5133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.291150263,0.059 +5130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.405390698,0.059 +5135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.299219607,0.059 +5134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.287279831,0.059 +5137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.078398525,0.059 +5138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.37020021,0.059 +5139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.450490871,0.059 +5140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.320790396,0.059 +5141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.716856873,0.059 +5142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.187684563,0.059 +5143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.414930771,0.059 +5136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.53612943,0.059 +5144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.615512677,0.059 +5145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.401913983,0.059 +5146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.405167963,0.059 +5147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.147027825,0.059 +5148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.260724139,0.059 +5149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.64170323,0.059 +5150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,5.53E-04,0.059 +5151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.181341924,0.059 +5152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.037950319,0.059 +5153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.425945205,0.059 +5154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.324246179,0.059 +5155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.044886991,0.059 +5156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.810216921,0.059 +5157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.686802196,0.059 +5158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.303681783,0.059 +5160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.555222166,0.059 +5159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.119744459,0.059 +5161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.534278932,0.059 +5162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.452910935,0.059 +5163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.03612578,0.059 +5164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.087769577,0.059 +5165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.129368454,0.059 +5166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.302455199,0.059 +5167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.434287356,0.059 +5170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,8.41E-04,0.059 +5169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.469314167,0.059 +5168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.511383583,0.059 +5171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.768123195,0.059 +5172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.416767697,0.059 +5173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.099916791,0.059 +5174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.450288186,0.059 +5175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.598833633,0.059 +5176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.148775455,0.059 +5177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.57124323,0.059 +5179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.303938003,0.059 +5178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.10137706,0.059 +5180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.548802836,0.059 +5181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.189190571,0.059 +5182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.540896232,0.059 +5183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.07060013,0.059 +5184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-5.95E-04,0.059 +5185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.617087694,0.059 +5186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.215634358,0.059 +5188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.310216522,0.059 +5187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.232787239,0.059 +5189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.782737962,0.059 +5190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.486770831,0.059 +5191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.288938205,0.059 +5192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.094165877,0.059 +5193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.357739435,0.059 +5194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.407968164,0.059 +5195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.451039541,0.059 +5198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.055459945,0.059 +5197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.10498728,0.059 +5199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.475715164,0.059 +5200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.658765388,0.059 +5196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.030991974,0.059 +5201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.044270906,0.059 +5202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.513036914,0.059 +5203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.669127463,0.059 +5204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.396571262,0.059 +5205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.172167952,0.059 +5206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.447326079,0.059 +5207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.089367076,0.059 +5209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.054385898,0.059 +5208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.030272854,0.059 +5210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.277076023,0.059 +5211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.21377188,0.059 +5213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.394819091,0.059 +5212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.244644703,0.059 +5214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.251401912,0.059 +5215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.510788404,0.059 +5216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.122050118,0.059 +5218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.069284253,0.059 +5219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.431585937,0.059 +5217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.500585153,0.059 +5221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.24367602,0.059 +5223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.1930981,0.059 +5222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.070870729,0.059 +5220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.43125947,0.059 +5225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.109576505,0.059 +5224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.123927532,0.059 +5226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.503566489,0.059 +5227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.748617154,0.059 +5230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.723642153,0.059 +5229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.828534716,0.059 +5231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.032296384,0.059 +5228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.172796731,0.059 +5233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.341760762,0.059 +5232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.318607745,0.059 +5234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.802265964,0.059 +5237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.505016644,0.059 +5236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.086286593,0.059 +5235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.754483086,0.059 +5238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.567602943,0.059 +5239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.143325535,0.059 +5240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.172237961,0.059 +5241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.585387032,0.059 +5243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.69262278,0.059 +5242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.121580044,0.059 +5244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.498689065,0.059 +5247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.238917997,0.059 +5246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.009977293,0.059 +5245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.351892049,0.059 +5248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.072198577,0.059 +5249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.504250936,0.059 +5251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.624810713,0.059 +5250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.015161135,0.059 +5252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.348215236,0.059 +5254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.00933355,0.059 +5253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.137552571,0.059 +5256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.471746241,0.059 +5255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.298312673,0.059 +5257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.517336227,0.059 +5258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.42497054,0.059 +5260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.393918598,0.059 +5259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.742804583,0.059 +5261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.416591135,0.059 +5262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.120210064,0.059 +5263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.670387821,0.059 +5265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.546878754,0.059 +5266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.045629863,0.059 +5264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.400256608,0.059 +5267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.042580996,0.059 +5269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.54587237,0.059 +5268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.333708239,0.059 +5270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.519597979,0.059 +5271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.136780578,0.059 +5272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.430686626,0.059 +5275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.231182652,0.059 +5276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.348602347,0.059 +5273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.581538284,0.059 +5277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.102174879,0.059 +5274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.551767797,0.059 +5278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.609040392,0.059 +5279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.832417315,0.059 +5280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.633499817,0.059 +5282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.300297202,0.059 +5284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.137720914,0.059 +5283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.290307582,0.059 +5281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.283513408,0.059 +5286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.605572002,0.059 +5287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.591474124,0.059 +5285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.139482734,0.059 +5288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.563097018,0.059 +5289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.771600886,0.059 +5292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.432692862,0.059 +5290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.004780366,0.059 +5291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.376573108,0.059 +5293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.312122588,0.059 +5294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.168948276,0.059 +5295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.635039914,0.059 +5296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.669518951,0.059 +5297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.257013882,0.059 +5299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.095278461,0.059 +5300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.30068195,0.059 +5301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.417909404,0.059 +5298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.836957979,0.059 +5302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,9.95E-04,0.059 +5303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.226602115,0.059 +5304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.585203179,0.059 +5305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.667214661,0.059 +5306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.239555753,0.059 +5307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.194653506,0.059 +5309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.821733755,0.059 +5308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.375686026,0.059 +5310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.278905173,0.059 +5312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.061297568,0.059 +5314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.781390836,0.059 +5313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.016375805,0.059 +5311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.196503677,0.059 +5315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.011603736,0.059 +5317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.488594315,0.059 +5316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.367385175,0.059 +5318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.765180056,0.059 +5320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.631662783,0.059 +5319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.033732456,0.059 +5321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.460316652,0.059 +5323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.108998603,0.059 +5322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.296639759,0.059 +5324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.002974101,0.059 +5325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.052017169,0.059 +5326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.128149059,0.059 +5328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.099396944,0.059 +5329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.811341207,0.059 +5330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.030473653,0.059 +5327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.648142788,0.059 +5333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.130648752,0.059 +5332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.111519887,0.059 +5334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.43119472,0.059 +5331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.780997574,0.059 +5338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.726793808,0.059 +5336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.090298822,0.059 +5337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.567332663,0.059 +5335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.60452587,0.059 +5340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.400424715,0.059 +5339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.168499718,0.059 +5341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.416173069,0.059 +5342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.726730841,0.059 +5344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.548124288,0.059 +5345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.342075015,0.059 +5346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.643330706,0.059 +5343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.250302619,0.059 +5348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.141613808,0.059 +5347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.622330137,0.059 +5349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.042116052,0.059 +5353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.316585912,0.059 +5351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.6800795,0.059 +5354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.031490628,0.059 +5350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.223254604,0.059 +5355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.697625839,0.059 +5352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.733342725,0.059 +5356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.66999794,0.059 +5357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.375691449,0.059 +5359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.340478561,0.059 +5360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.719832514,0.059 +5362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.329936879,0.059 +5363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.005240159,0.059 +5358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.17656939,0.059 +5364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.086574759,0.059 +5361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.656115805,0.059 +5365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.763184914,0.059 +5366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.029885777,0.059 +5368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.281933335,0.059 +5367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.095042785,0.059 +5370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.307720575,0.059 +5369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.03806938,0.059 +5371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.451433642,0.059 +5372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.595408919,0.059 +5373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.300671127,0.059 +5375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.145845866,0.059 +5376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.476778141,0.059 +5374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.714819191,0.059 +5377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.626077925,0.059 +5378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.765151824,0.059 +5379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.093823432,0.059 +5380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.197441003,0.059 +5381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.016911385,0.059 +5382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.648276705,0.059 +5383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.002583662,0.059 +5386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.837968097,0.059 +5385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.60741273,0.059 +5384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.421881576,0.059 +5387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.68635919,0.059 +5388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.621302263,0.059 +5389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.662940784,0.059 +5391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.174591582,0.059 +5393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.597733133,0.059 +5392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.800533247,0.059 +5390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.397724827,0.059 +5394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.002001394,0.059 +5395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.40424629,0.059 +5396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.718660571,0.059 +5397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.192268208,0.059 +5398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.758945412,0.059 +5399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.518614925,0.059 +5400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.835494277,0.059 +5401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.605964964,0.059 +5402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.036317989,0.059 +5403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.276225223,0.059 +5405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.672330962,0.059 +5404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.55821835,0.059 +5407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.009764062,0.059 +5409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.459820372,0.059 +5406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.605727313,0.059 +5410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.299717575,0.059 +5408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.770683668,0.059 +5411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.506587423,0.059 +5412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.674403185,0.059 +5413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.529226335,0.059 +5415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.265862462,0.059 +5414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.086553103,0.059 +5416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.549606975,0.059 +5417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.419540494,0.059 +5418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.356624205,0.059 +5419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.251632518,0.059 +5420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.177022856,0.059 +5422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.639130602,0.059 +5423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.122296655,0.059 +5425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.194880003,0.059 +5424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.337372618,0.059 +5421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.793222281,0.059 +5426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.216935287,0.059 +5427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.183427634,0.059 +5429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.349889994,0.059 +5430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.313414643,0.059 +5428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.662129393,0.059 +5431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.548557309,0.059 +5434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.687027952,0.059 +5432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.339584645,0.059 +5433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.707919381,0.059 +5435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.624707762,0.059 +5436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.228671896,0.059 +5438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.727767967,0.059 +5439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.246719061,0.059 +5440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.7383422,0.059 +5441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.378025635,0.059 +5437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.504334073,0.059 +5442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.266440723,0.059 +5444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.66430068,0.059 +5446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.69189876,0.059 +5443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.074681514,0.059 +5445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.579172127,0.059 +5447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.446837097,0.059 +5448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.705681237,0.059 +5449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.093501563,0.059 +5450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.06873709,0.059 +5454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.341586504,0.059 +5453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.506127205,0.059 +5452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.609443603,0.059 +5451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.078719526,0.059 +5455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.316469087,0.059 +5456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.27606774,0.059 +5457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.232026316,0.059 +5458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.082131371,0.059 +5460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.494314361,0.059 +5459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.008602444,0.059 +5462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.418558726,0.059 +5461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.333210424,0.059 +5463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.040138974,0.059 +5464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.67743161,0.059 +5465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.0956941,0.059 +5469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.536752199,0.059 +5470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.836412042,0.059 +5467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.147329778,0.059 +5468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.459776453,0.059 +5466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.181394994,0.059 +5472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.705469165,0.059 +5471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.603125743,0.059 +5473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.165432205,0.059 +5474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.767131833,0.059 +5475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.111884132,0.059 +5477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.507140669,0.059 +5478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.900275325,0.059 +5476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.411980776,0.059 +5479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.229830904,0.059 +5480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.647022599,0.059 +5481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.69517675,0.059 +5482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.715760824,0.059 +5484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.530366226,0.059 +5483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.013268234,0.059 +5485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.523778429,0.059 +5489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.672126571,0.059 +5486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.378539813,0.059 +5488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.299703052,0.059 +5487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.159211127,0.059 +5490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.504981634,0.059 +5491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.638345126,0.059 +5492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.319142253,0.059 +5493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.524323906,0.059 +5495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.167652499,0.059 +5494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.032459343,0.059 +5496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.351194626,0.059 +5497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.490668702,0.059 +5498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.710558465,0.059 +5500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.610609303,0.059 +5501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.678242237,0.059 +5499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.670761344,0.059 +5504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.048742739,0.059 +5505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.619933958,0.059 +5503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.167091655,0.059 +5502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.484198974,0.059 +5506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.735025309,0.059 +5508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.047745679,0.059 +5507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.604076958,0.059 +5509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.808748439,0.059 +5511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.278595737,0.059 +5510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.54656294,0.059 +5512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.300506952,0.059 +5513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.626229746,0.059 +5514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.456754274,0.059 +5515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.607453158,0.059 +5516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.465792456,0.059 +5517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.192163565,0.059 +5518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.225343468,0.059 +5519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.092655845,0.059 +5521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.029479693,0.059 +5522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.447998365,0.059 +5523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-7.01E-04,0.059 +5520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.62398297,0.059 +5524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.733198344,0.059 +5525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.65828161,0.059 +5527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.225907686,0.059 +5526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.00206409,0.059 +5528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.404244835,0.059 +5530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.634806068,0.059 +5529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.15315259,0.059 +5531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.084392442,0.059 +5532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.681275688,0.059 +5534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.280131303,0.059 +5533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.007288766,0.059 +5535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.275947124,0.059 +5538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.052202601,0.059 +5539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.247070361,0.059 +5540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.316371898,0.059 +5537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.622725592,0.059 +5541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.032191637,0.059 +5536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.622307824,0.059 +5542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.82322043,0.059 +5543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.631420504,0.059 +5544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.742335038,0.059 +5545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.530553829,0.059 +5546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.178081997,0.059 +5547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.319712125,0.059 +5548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.330668466,0.059 +5549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.252226706,0.059 +5550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.106221675,0.059 +5551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.11452164,0.059 +5552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.294130214,0.059 +5553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.460987336,0.059 +5554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.680375596,0.059 +5555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.421766757,0.059 +5556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.041628606,0.059 +5558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.012544098,0.059 +5557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.127322052,0.059 +5559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.399236232,0.059 +5561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.239192064,0.059 +5560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.197078265,0.059 +5562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.176715728,0.059 +5563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.506434666,0.059 +5564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.361564053,0.059 +5565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.59755746,0.059 +5567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.820618702,0.059 +5566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.304402364,0.059 +5568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.464631338,0.059 +5569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.007844515,0.059 +5571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.604463439,0.059 +5570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.196488173,0.059 +5572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.413636924,0.059 +5574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.217818695,0.059 +5573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.663418174,0.059 +5575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.254449446,0.059 +5577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.208095961,0.059 +5576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.072104253,0.059 +5578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.40223499,0.059 +5579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.859812878,0.059 +5580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-7.74E-04,0.059 +5581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.318108322,0.059 +5582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.026445576,0.059 +5585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.016845681,0.059 +5584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.487566884,0.059 +5583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.292780076,0.059 +5586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.448096394,0.059 +5587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.615495165,0.059 +5589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.36675383,0.059 +5588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.790924802,0.059 +5590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.492116302,0.059 +5592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.036798412,0.059 +5591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.424813139,0.059 +5593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.142131806,0.059 +5594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.496192795,0.059 +5595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.040896931,0.059 +5596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.756523644,0.059 +5598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.477618849,0.059 +5597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.587752133,0.059 +5602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.344957652,0.059 +5599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.780240586,0.059 +5600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.508668562,0.059 +5601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.55510249,0.059 +5603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.807181008,0.059 +5604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.337735441,0.059 +5605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.065730435,0.059 +5606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.750637915,0.059 +5608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.091933624,0.059 +5609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.347651383,0.059 +5607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.118929182,0.059 +5610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.72406638,0.059 +5611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.14519666,0.059 +5612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.435721185,0.059 +5613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.337043177,0.059 +5614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.189765455,0.059 +5615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.247693512,0.059 +5616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.372475689,0.059 +5617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.323234248,0.059 +5619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.710500041,0.059 +5618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.096455479,0.059 +5621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.30342896,0.059 +5620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.376764932,0.059 +5624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.487869552,0.059 +5622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.014133749,0.059 +5625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.2720711,0.059 +5623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.620727624,0.059 +5626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.320796598,0.059 +5629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.689483575,0.059 +5627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.359124387,0.059 +5632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.425553979,0.059 +5631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.162167404,0.059 +5628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.669182705,0.059 +5633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.337223941,0.059 +5630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.430278967,0.059 +5634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.546233063,0.059 +5635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.63243109,0.059 +5636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.296311945,0.059 +5637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.361036313,0.059 +5638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.64209807,0.059 +5639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.481204396,0.059 +5641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.810095577,0.059 +5640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.31565417,0.059 +5642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.250022329,0.059 +5643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.599369668,0.059 +5644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.555667306,0.059 +5646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.012560042,0.059 +5645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.16966562,0.059 +5647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.633678822,0.059 +5648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.70463153,0.059 +5649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.826235275,0.059 +5650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.140311064,0.059 +5651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.175695805,0.059 +5653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.122296798,0.059 +5652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.090332241,0.059 +5654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.253940364,0.059 +5656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.275564835,0.059 +5655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.117331197,0.059 +5657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.640121551,0.059 +5658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.69583419,0.059 +5659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.077250753,0.059 +5662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.535194958,0.059 +5660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.796324583,0.059 +5661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.547608781,0.059 +5663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.051029433,0.059 +5664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.656826663,0.059 +5665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.505452358,0.059 +5667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.815270825,0.059 +5666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.168158178,0.059 +5668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.423310525,0.059 +5669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.673612623,0.059 +5671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.46819985,0.059 +5670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.300535334,0.059 +5673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.203513145,0.059 +5674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.475246798,0.059 +5672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.193981638,0.059 +5676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.003328702,0.059 +5677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.132167605,0.059 +5675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.457640152,0.059 +5678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.092778617,0.059 +5680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.788340498,0.059 +5682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.342796187,0.059 +5681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.269153803,0.059 +5679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.339374038,0.059 +5683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.37245366,0.059 +5684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.272087127,0.059 +5686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.712250006,0.059 +5685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.097091339,0.059 +5687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.217872392,0.059 +5689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.359104571,0.059 +5688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.473912084,0.059 +5690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.65862741,0.059 +5692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.269124587,0.059 +5691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.428108478,0.059 +5694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.391821295,0.059 +5696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.601835753,0.059 +5695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.036637027,0.059 +5697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.296543464,0.059 +5693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.704363893,0.059 +5700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.515354515,0.059 +5701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.723338251,0.059 +5699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.683442237,0.059 +5698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.671091712,0.059 +5702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.300567231,0.059 +5703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.370223545,0.059 +5704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.327554495,0.059 +5705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.356915943,0.059 +5706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.17621682,0.059 +5708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.72223219,0.059 +5707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.58244765,0.059 +5709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.291820988,0.059 +5710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.044135964,0.059 +5711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.340002422,0.059 +5713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.609645992,0.059 +5712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.700154519,0.059 +5716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.186330333,0.059 +5715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.323123144,0.059 +5714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.01643842,0.059 +5717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.725914929,0.059 +5720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.677253206,0.059 +5718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.083453236,0.059 +5719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.196592549,0.059 +5721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.506042462,0.059 +5722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.542991891,0.059 +5723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.2170982,0.059 +5724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.046269621,0.059 +5726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.2703949,0.059 +5727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.048859854,0.059 +5728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.272728413,0.059 +5729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.265699728,0.059 +5730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.21910117,0.059 +5731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.165486831,0.059 +5732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.069961932,0.059 +5725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.724844301,0.059 +5736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.709284636,0.059 +5734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.025781373,0.059 +5735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.054372749,0.059 +5733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.070726854,0.059 +5737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.506485156,0.059 +5738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.163268828,0.059 +5739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.179002113,0.059 +5740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.365777497,0.059 +5743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.534742123,0.059 +5741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.427764549,0.059 +5742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.587499975,0.059 +5744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.740398493,0.059 +5745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.277331446,0.059 +5747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.150422903,0.059 +5746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.50945566,0.059 +5749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.483946577,0.059 +5751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.054462572,0.059 +5750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.04748568,0.059 +5752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.681713693,0.059 +5753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.36695851,0.059 +5748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.613206928,0.059 +5754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.182376583,0.059 +5755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.10429343,0.059 +5757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.028759308,0.059 +5758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.460490925,0.059 +5756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.84124856,0.059 +5759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.365412615,0.059 +5760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.007816386,0.059 +5761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.386941471,0.059 +5762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.618980067,0.059 +5763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.025273321,0.059 +5764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.45518263,0.059 +5765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.524479071,0.059 +5766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.167030896,0.059 +5767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.666360536,0.059 +5768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.522196414,0.059 +5770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.493600593,0.059 +5769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.695162757,0.059 +5771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.209232556,0.059 +5773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.250912504,0.059 +5774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.653474082,0.059 +5772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.801365491,0.059 +5777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.356151356,0.059 +5775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.175125726,0.059 +5776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.348265696,0.059 +5778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.722123972,0.059 +5779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.714318836,0.059 +5780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.328556517,0.059 +5781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.677670615,0.059 +5782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.057840954,0.059 +5783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.220952615,0.059 +5784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.588088305,0.059 +5785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.020123944,0.059 +5786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.417096069,0.059 +5787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.244282217,0.059 +5789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.492463272,0.059 +5788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.035921466,0.059 +5790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.53647471,0.059 +5792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.011181319,0.059 +5793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.037734261,0.059 +5791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.708561025,0.059 +5795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.668571972,0.059 +5796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.624493404,0.059 +5794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.669184691,0.059 +5798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.380412157,0.059 +5797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.219338623,0.059 +5799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.372959939,0.059 +5800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.811818939,0.059 +5801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.728928285,0.059 +5803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.698790149,0.059 +5802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.607092481,0.059 +5804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.634696127,0.059 +5805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.132001944,0.059 +5807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.377919704,0.059 +5806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.487770855,0.059 +5808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.37142751,0.059 +5810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.398516094,0.059 +5811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.332595321,0.059 +5809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.244621945,0.059 +5813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.478088894,0.059 +5812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.752270581,0.059 +5814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.717637469,0.059 +5815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.273898833,0.059 +5817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.603644478,0.059 +5819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.011794548,0.059 +5818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.299324782,0.059 +5820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.261506755,0.059 +5816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.604011526,0.059 +5822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.530933191,0.059 +5821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.04207593,0.059 +5823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.748548767,0.059 +5824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.652738695,0.059 +5825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.312826559,0.059 +5827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.339202418,0.059 +5826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.283919911,0.059 +5828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.596983498,0.059 +5829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.613763742,0.059 +5831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.795293342,0.059 +5832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.103437539,0.059 +5834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.502482332,0.059 +5830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.130236074,0.059 +5835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.41970215,0.059 +5833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.170998379,0.059 +5836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.334998618,0.059 +5838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.327897791,0.059 +5837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.691186171,0.059 +5839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.544356008,0.059 +5840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.255663824,0.059 +5843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.13710057,0.059 +5841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.495562687,0.059 +5842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.392629911,0.059 +5844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.034649729,0.059 +5846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.715435473,0.059 +5848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.560589107,0.059 +5845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.725299758,0.059 +5849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.106830142,0.059 +5847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.139012611,0.059 +5851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.043613497,0.059 +5852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.568531374,0.059 +5850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.03369556,0.059 +5853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.658248987,0.059 +5854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.154188279,0.059 +5857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.506713823,0.059 +5855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.244636611,0.059 +5856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.544934547,0.059 +5858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.26130446,0.059 +5859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.020686028,0.059 +5861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.369305139,0.059 +5862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.238525159,0.059 +5863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.608036584,0.059 +5864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.838199528,0.059 +5860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.01671111,0.059 +5867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.750910127,0.059 +5865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.774954545,0.059 +5866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.158123671,0.059 +5868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.446491353,0.059 +5869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.826922687,0.059 +5871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.185681502,0.059 +5872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.691417095,0.059 +5874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.36376001,0.059 +5873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.190830316,0.059 +5870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.661443884,0.059 +5875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.249109376,0.059 +5876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.23641048,0.059 +5877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.33373699,0.059 +5878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.037917092,0.059 +5880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.637714294,0.059 +5882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.665390625,0.059 +5881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.198566203,0.059 +5884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.036642819,0.059 +5883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.784141328,0.059 +5885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.624657587,0.059 +5886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.252645503,0.059 +5879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.236661118,0.059 +5887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.01735683,0.059 +5889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.18988559,0.059 +5890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.5180873,0.059 +5888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.115678962,0.059 +5891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.052502918,0.059 +5892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.424614082,0.059 +5893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.351550935,0.059 +5894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.201173804,0.059 +5895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.11347129,0.059 +5897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.233191119,0.059 +5896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.778029283,0.059 +5898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.421977741,0.059 +5899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.575027769,0.059 +5900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.345572089,0.059 +5903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.010734703,0.059 +5905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.016843451,0.059 +5906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.533364095,0.059 +5904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.4690243,0.059 +5907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.023783071,0.059 +5902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.079453033,0.059 +5901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.583117016,0.059 +5908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.746983993,0.059 +5909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.232046044,0.059 +5912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.478117129,0.059 +5914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.142660903,0.059 +5913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.257298041,0.059 +5911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.639166574,0.059 +5910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.577380007,0.059 +5915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.098715072,0.059 +5916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.37509744,0.059 +5917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.134096405,0.059 +5918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.151647962,0.059 +5919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.779928785,0.059 +5921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.004479491,0.059 +5922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.014916161,0.059 +5920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.344407586,0.059 +5924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.322898697,0.059 +5925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.609688155,0.059 +5923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.594121966,0.059 +5926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.572333017,0.059 +5929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.120608747,0.059 +5927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.331841351,0.059 +5928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.555541376,0.059 +5930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.060224441,0.059 +5931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.693814282,0.059 +5932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.41771243,0.059 +5933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.387804313,0.059 +5934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.03480856,0.059 +5936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.277564661,0.059 +5937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.623173137,0.059 +5935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.155403148,0.059 +5938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.211400606,0.059 +5939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.120965398,0.059 +5941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.015546114,0.059 +5942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.751539612,0.059 +5940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.723027504,0.059 +5943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.374928084,0.059 +5944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.496684481,0.059 +5945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.625149164,0.059 +5947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.021942458,0.059 +5946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.380242045,0.059 +5948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.497675889,0.059 +5949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.098561516,0.059 +5951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.504426224,0.059 +5952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.382308259,0.059 +5950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.261869582,0.059 +5955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.059744486,0.059 +5954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.390840231,0.059 +5953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.330174797,0.059 +5957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.059328422,0.059 +5956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.707803936,0.059 +5958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.014066806,0.059 +5959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.644504906,0.059 +5962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.791466297,0.059 +5963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.077525193,0.059 +5961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.30309386,0.059 +5964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.231803773,0.059 +5960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.098571602,0.059 +5965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.807060535,0.059 +5968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.466720913,0.059 +5966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.750208802,0.059 +5970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.680431288,0.059 +5971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.10238778,0.059 +5967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.126838128,0.059 +5972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,0.029938318,0.059 +5969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.699918452,0.059 +5973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.052920352,0.059 +5974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.58848245,0.059 +5975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.171241944,0.059 +5977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.200114896,0.059 +5978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.862991497,0.059 +5980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.405861116,0.059 +5976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.643298988,0.059 +5981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.317230186,0.059 +5979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.132142707,0.059 +5982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.448918839,0.059 +5983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.798121947,0.059 +5986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.003742882,0.059 +5984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.776436246,0.059 +5985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.566237127,0.059 +5987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.408261992,0.059 +5989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.329860343,0.059 +5990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.138781546,0.059 +5991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.878047801,0.059 +5988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.061278205,0.059 +5992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.510879109,0.059 +5993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.41114932,0.059 +5994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.792755985,0.059 +5995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.351051105,0.059 +5997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.261781654,0.059 +5999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.677609497,0.059 +5998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.357707227,0.059 +6000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.875042332,0.059 +5996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.25,10,1,-0.330286268,0.059 +6002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.213422982,0.061 +6001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.677161947,0.061 +6003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.590391964,0.061 +6004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.711929464,0.061 +6005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.045812098,0.061 +6006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.407524539,0.061 +6007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.815235762,0.061 +6008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.135533307,0.061 +6009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.684268066,0.061 +6010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.09185596,0.061 +6011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.874611757,0.061 +6013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.038455022,0.061 +6012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.200936743,0.061 +6015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.209103703,0.061 +6014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.835071064,0.061 +6017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.373506445,0.061 +6018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.791198444,0.061 +6016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.715641086,0.061 +6019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.041839246,0.061 +6020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.552271586,0.061 +6021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.603054904,0.061 +6022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.110339882,0.061 +6023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.725346096,0.061 +6024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.457636466,0.061 +6025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.311209648,0.061 +6026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.140192346,0.061 +6027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.890514022,0.061 +6030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.800626076,0.061 +6031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.837526745,0.061 +6028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.296624764,0.061 +6033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.433097062,0.061 +6032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.020793251,0.061 +6029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.615915113,0.061 +6035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.50253705,0.061 +6036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.320300877,0.061 +6037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.445995608,0.061 +6034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.173430606,0.061 +6038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.23074173,0.061 +6041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.751246711,0.061 +6040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.148555707,0.061 +6039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.050644204,0.061 +6042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.32761764,0.061 +6043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.159553802,0.061 +6044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.449097408,0.061 +6045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.583804473,0.061 +6047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.526266194,0.061 +6049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.227590458,0.061 +6046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.258023509,0.061 +6048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.105199761,0.061 +6050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.126170585,0.061 +6052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.634401982,0.061 +6051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.171482423,0.061 +6053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.57232902,0.061 +6055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.828608128,0.061 +6054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.287805657,0.061 +6057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.486135342,0.061 +6056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.289637659,0.061 +6058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.447606153,0.061 +6060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.068977211,0.061 +6059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.406568455,0.061 +6063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.121252412,0.061 +6061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.013088314,0.061 +6062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.295491431,0.061 +6064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.130129512,0.061 +6066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.719168044,0.061 +6065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.553055816,0.061 +6068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.805290717,0.061 +6067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.145395957,0.061 +6071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.06177333,0.061 +6069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.006503652,0.061 +6070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.07056297,0.061 +6072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.195736742,0.061 +6073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.637746838,0.061 +6074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.053464023,0.061 +6076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.587189299,0.061 +6075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.471977208,0.061 +6077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.284703289,0.061 +6078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.367415085,0.061 +6080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.719539694,0.061 +6079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.14650778,0.061 +6081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.375870547,0.061 +6082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.709262951,0.061 +6083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.209218559,0.061 +6084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.720098753,0.061 +6085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.378261456,0.061 +6086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.698998055,0.061 +6087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.668114044,0.061 +6089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.066791186,0.061 +6088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.12137181,0.061 +6092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.616632834,0.061 +6093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.685155302,0.061 +6091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.361693955,0.061 +6094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.042270155,0.061 +6090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.514576055,0.061 +6095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.462441857,0.061 +6096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.642266655,0.061 +6097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.278333815,0.061 +6098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.542128341,0.061 +6099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.526779233,0.061 +6100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.07752807,0.061 +6101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.769358924,0.061 +6102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.428691982,0.061 +6104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.65209799,0.061 +6103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.607705274,0.061 +6107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.260760578,0.061 +6105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.463178685,0.061 +6106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.391113588,0.061 +6109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.684049482,0.061 +6110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.047185997,0.061 +6108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.466701003,0.061 +6112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.210165759,0.061 +6111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.337530352,0.061 +6115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.342844931,0.061 +6114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.207349759,0.061 +6113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-3.63E-04,0.061 +6116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.681039599,0.061 +6117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.472169357,0.061 +6118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.309233602,0.061 +6119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.604569354,0.061 +6120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.019912197,0.061 +6121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.561635591,0.061 +6123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.740851201,0.061 +6124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.433955149,0.061 +6125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.051968241,0.061 +6122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.651073372,0.061 +6126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.709203286,0.061 +6127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.411828052,0.061 +6128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.576514304,0.061 +6129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.472818815,0.061 +6130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.50211678,0.061 +6131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.20165674,0.061 +6132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.497893893,0.061 +6133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.3206777,0.061 +6134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.370540034,0.061 +6135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.520312284,0.061 +6136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.445934567,0.061 +6139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.095975297,0.061 +6137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.309931319,0.061 +6138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.143159036,0.061 +6140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.837822896,0.061 +6142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.780600005,0.061 +6141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.531264289,0.061 +6143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.288904654,0.061 +6144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.056032313,0.061 +6145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.742005338,0.061 +6146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.164103612,0.061 +6147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.581158983,0.061 +6148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.003085389,0.061 +6149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.673045537,0.061 +6151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.078620027,0.061 +6150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.229506425,0.061 +6152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.004251017,0.061 +6153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.477175274,0.061 +6154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.209757277,0.061 +6155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.73779207,0.061 +6156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.360582767,0.061 +6157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.059741337,0.061 +6158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.658838869,0.061 +6160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.528421818,0.061 +6159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.271100782,0.061 +6162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.359852925,0.061 +6161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.765799657,0.061 +6163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.30467608,0.061 +6164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.208018708,0.061 +6165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.039572497,0.061 +6166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.348637028,0.061 +6167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.360943315,0.061 +6169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.399225276,0.061 +6170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.033907939,0.061 +6171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.618885245,0.061 +6172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.344685688,0.061 +6173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.045256552,0.061 +6168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.40764874,0.061 +6174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.644184113,0.061 +6175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.188012854,0.061 +6176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.180574752,0.061 +6177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.88311963,0.061 +6179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.088263888,0.061 +6178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.342280456,0.061 +6180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.054712914,0.061 +6183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.23523247,0.061 +6181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.435449901,0.061 +6182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.117429074,0.061 +6184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.540901009,0.061 +6185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.48154026,0.061 +6186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.140472476,0.061 +6187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.079162093,0.061 +6188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.276354166,0.061 +6189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.301282128,0.061 +6191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.709865985,0.061 +6190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.119267936,0.061 +6192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.378664099,0.061 +6193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.183667119,0.061 +6194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.290532085,0.061 +6195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.449968526,0.061 +6196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.264115067,0.061 +6198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.460868559,0.061 +6197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.555607359,0.061 +6200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.037877222,0.061 +6199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.545861982,0.061 +6202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.695056285,0.061 +6201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.117976817,0.061 +6203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.698169321,0.061 +6204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.350716666,0.061 +6205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.535321033,0.061 +6206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.053588969,0.061 +6207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.235391744,0.061 +6208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.230595774,0.061 +6210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.711256715,0.061 +6211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.137327013,0.061 +6209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.269445137,0.061 +6212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.097021154,0.061 +6214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.728545749,0.061 +6213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.643852402,0.061 +6215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.26886118,0.061 +6218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.265175788,0.061 +6217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.287322277,0.061 +6216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.699790011,0.061 +6219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.506865949,0.061 +6220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.782225723,0.061 +6221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.002160774,0.061 +6222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.01945446,0.061 +6223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.60893285,0.061 +6224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.385052382,0.061 +6225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.082219077,0.061 +6227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.016639841,0.061 +6226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.148317798,0.061 +6228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.241515813,0.061 +6229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.312970206,0.061 +6230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.784268916,0.061 +6231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.519113158,0.061 +6233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.418333309,0.061 +6232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.789815883,0.061 +6234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.695311198,0.061 +6238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.619536139,0.061 +6237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.526410739,0.061 +6235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.482077233,0.061 +6236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.441695511,0.061 +6239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.825481479,0.061 +6241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.239570204,0.061 +6242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.84855575,0.061 +6240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.486818236,0.061 +6244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.716102285,0.061 +6246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.725894678,0.061 +6243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.541643271,0.061 +6245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.692335796,0.061 +6247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.58415393,0.061 +6248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.693964311,0.061 +6250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.605863717,0.061 +6249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.682070004,0.061 +6251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.009755277,0.061 +6252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.376116935,0.061 +6253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.648009607,0.061 +6254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.795402104,0.061 +6256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.181202462,0.061 +6255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.804204541,0.061 +6257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.283189292,0.061 +6258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.643692203,0.061 +6260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.091921509,0.061 +6259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.028826905,0.061 +6261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.577255813,0.061 +6262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.003802568,0.061 +6263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.136068747,0.061 +6264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.358718072,0.061 +6265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.288846642,0.061 +6266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.621831389,0.061 +6268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.10092447,0.061 +6267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.035250949,0.061 +6269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.380406751,0.061 +6270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.260392994,0.061 +6271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.538165686,0.061 +6272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.663575516,0.061 +6273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.689032946,0.061 +6274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.5256863,0.061 +6276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.371612508,0.061 +6277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.86219459,0.061 +6275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.097473866,0.061 +6280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.03806853,0.061 +6279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.021556258,0.061 +6278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.208096667,0.061 +6281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.840700197,0.061 +6282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.110754495,0.061 +6284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.062720936,0.061 +6283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.087544836,0.061 +6285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.302226619,0.061 +6287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.611711057,0.061 +6286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.011519907,0.061 +6288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.667245522,0.061 +6289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.383137328,0.061 +6290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.24817728,0.061 +6291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.395648777,0.061 +6292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.614172062,0.061 +6293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.602652247,0.061 +6294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.544413791,0.061 +6295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.258454293,0.061 +6297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.490016327,0.061 +6296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.574506023,0.061 +6298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.445518339,0.061 +6300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.081242747,0.061 +6299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.45576949,0.061 +6301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.478831945,0.061 +6302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.256181869,0.061 +6303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.514055114,0.061 +6304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.806882948,0.061 +6306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.279670683,0.061 +6308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.697099034,0.061 +6307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.590505821,0.061 +6309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.427673001,0.061 +6305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.360199976,0.061 +6310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.733465683,0.061 +6311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.114519697,0.061 +6313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.04061134,0.061 +6312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.239780811,0.061 +6314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.384753189,0.061 +6315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.770573137,0.061 +6316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.332492737,0.061 +6317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.584944649,0.061 +6318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.435446712,0.061 +6319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.277523911,0.061 +6320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.302686724,0.061 +6321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.330131597,0.061 +6322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.669949881,0.061 +6324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.858618822,0.061 +6323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.424379132,0.061 +6326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.028794748,0.061 +6327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.598171016,0.061 +6325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.658761046,0.061 +6330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.263734679,0.061 +6329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.044026589,0.061 +6328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.431191004,0.061 +6331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.015866928,0.061 +6332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.262389522,0.061 +6333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.294262945,0.061 +6334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.122642373,0.061 +6335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.126190261,0.061 +6336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.680048081,0.061 +6337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.624966397,0.061 +6339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.709970126,0.061 +6338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.113979267,0.061 +6340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.268815636,0.061 +6341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.066426273,0.061 +6342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.797698269,0.061 +6344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.786067399,0.061 +6345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.324190898,0.061 +6343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.290180701,0.061 +6346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.346728671,0.061 +6347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.813671016,0.061 +6348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.127565207,0.061 +6349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.759245042,0.061 +6350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.38971258,0.061 +6352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.754288001,0.061 +6351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.114354222,0.061 +6353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.780923672,0.061 +6355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.471406407,0.061 +6354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.279251504,0.061 +6356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.5480937,0.061 +6357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.630334235,0.061 +6358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.71314239,0.061 +6359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.632808821,0.061 +6360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.001262529,0.061 +6362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.137274613,0.061 +6363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.793702426,0.061 +6361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.151425091,0.061 +6364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.145307461,0.061 +6365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.178117152,0.061 +6366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.720838953,0.061 +6367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.218130807,0.061 +6368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.147172136,0.061 +6369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.517417659,0.061 +6370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.738952388,0.061 +6373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.201875374,0.061 +6372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.053210572,0.061 +6371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.36453377,0.061 +6374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.530286388,0.061 +6375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.026995936,0.061 +6376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.082808449,0.061 +6377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.154157983,0.061 +6378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.379699335,0.061 +6379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.175638846,0.061 +6380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.685188234,0.061 +6382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.817863511,0.061 +6381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.075566072,0.061 +6383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.827810059,0.061 +6384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.157498634,0.061 +6385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.647106135,0.061 +6386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.194780002,0.061 +6388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.019647924,0.061 +6387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.165166201,0.061 +6389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.400009835,0.061 +6391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.164917314,0.061 +6390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.448993775,0.061 +6393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.450774024,0.061 +6392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.723899735,0.061 +6394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.682169673,0.061 +6395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.313843322,0.061 +6396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.553294747,0.061 +6397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.092287001,0.061 +6400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.111274102,0.061 +6399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.156889711,0.061 +6401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.178030433,0.061 +6398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.813543142,0.061 +6402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.201173904,0.061 +6403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.662862258,0.061 +6404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.485952408,0.061 +6405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.004684681,0.061 +6406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.295579665,0.061 +6407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.247012542,0.061 +6409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.325873288,0.061 +6411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.805979256,0.061 +6412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.319142374,0.061 +6408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.013639123,0.061 +6410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.410726888,0.061 +6413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.094650265,0.061 +6414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.896072378,0.061 +6416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.161364026,0.061 +6415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.504621854,0.061 +6418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.454571284,0.061 +6419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.219086255,0.061 +6420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.28605717,0.061 +6417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.250659442,0.061 +6421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.158740247,0.061 +6422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.499478438,0.061 +6423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.121013968,0.061 +6424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.263618884,0.061 +6426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.208248373,0.061 +6425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.345306853,0.061 +6427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.401769345,0.061 +6428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.316833357,0.061 +6430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.586490606,0.061 +6431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.304096988,0.061 +6429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.15097678,0.061 +6434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.379142367,0.061 +6435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.799083997,0.061 +6436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.052458653,0.061 +6432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.012027548,0.061 +6433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.149336777,0.061 +6437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.483056022,0.061 +6438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.448821739,0.061 +6439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.615706454,0.061 +6441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.100788445,0.061 +6442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.327083941,0.061 +6443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.555896803,0.061 +6440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.470300275,0.061 +6444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.325638101,0.061 +6445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.084659701,0.061 +6446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.269357566,0.061 +6447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.052797408,0.061 +6448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.723204394,0.061 +6449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.627667517,0.061 +6450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.736005871,0.061 +6451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.401764546,0.061 +6453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.202641232,0.061 +6452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.361430347,0.061 +6454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.65296475,0.061 +6456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.318565248,0.061 +6459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.764359331,0.061 +6458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.614546922,0.061 +6457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.6676173,0.061 +6455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.812632642,0.061 +6460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.271480199,0.061 +6462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.261131394,0.061 +6461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.232334145,0.061 +6463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.300603323,0.061 +6465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.719762979,0.061 +6464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.084252012,0.061 +6466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.507805472,0.061 +6467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.140316248,0.061 +6468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.054038961,0.061 +6469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.485486509,0.061 +6473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.231591819,0.061 +6474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.607652702,0.061 +6470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.042587629,0.061 +6471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.365580137,0.061 +6475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.250281919,0.061 +6472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.471619472,0.061 +6476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.646968703,0.061 +6477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.253635831,0.061 +6478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.069284866,0.061 +6479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.510705881,0.061 +6481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.303093119,0.061 +6482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.017158878,0.061 +6483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.438328673,0.061 +6480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.085129729,0.061 +6484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.002408937,0.061 +6485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.28580253,0.061 +6486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.410400168,0.061 +6487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.428475865,0.061 +6488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.753454664,0.061 +6489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.532870909,0.061 +6492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.350331379,0.061 +6490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.263008552,0.061 +6491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.546726087,0.061 +6493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.478085946,0.061 +6495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.449175649,0.061 +6494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.694853661,0.061 +6497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.410131589,0.061 +6496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.314120792,0.061 +6499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.23180929,0.061 +6501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.812650275,0.061 +6498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.705075235,0.061 +6503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.051393123,0.061 +6504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.419162255,0.061 +6505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.567563976,0.061 +6500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.434447602,0.061 +6502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.164192867,0.061 +6506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.046349653,0.061 +6507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.567765779,0.061 +6508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.572736257,0.061 +6510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.217046705,0.061 +6511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.781998971,0.061 +6509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.729704511,0.061 +6512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.381667318,0.061 +6513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.074894926,0.061 +6514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.48649226,0.061 +6515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.683556865,0.061 +6516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.148302549,0.061 +6517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.689390847,0.061 +6519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.862996615,0.061 +6520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.684000276,0.061 +6518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.405046041,0.061 +6522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.862664149,0.061 +6521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.315584736,0.061 +6523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.538532783,0.061 +6524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.722753474,0.061 +6525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.766513695,0.061 +6526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.20436754,0.061 +6528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.018399495,0.061 +6530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.600862955,0.061 +6527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.044208743,0.061 +6531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.452226083,0.061 +6529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.598424453,0.061 +6532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.563345315,0.061 +6533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-8.01E-04,0.061 +6534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.009019354,0.061 +6536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.374853917,0.061 +6539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.254882786,0.061 +6535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.122151504,0.061 +6541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.27977555,0.061 +6540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.509635147,0.061 +6538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.580119426,0.061 +6537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.040520247,0.061 +6542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.686050693,0.061 +6543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.584978641,0.061 +6545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.68194265,0.061 +6544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.316907982,0.061 +6547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.462572512,0.061 +6548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.632635589,0.061 +6549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.059685578,0.061 +6550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.794843531,0.061 +6546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.055372358,0.061 +6551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.301650513,0.061 +6552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.142536386,0.061 +6554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.702941332,0.061 +6555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.665180409,0.061 +6553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.435143102,0.061 +6557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.941564945,0.061 +6558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.484919027,0.061 +6556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.400186951,0.061 +6559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.534196952,0.061 +6560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.694811083,0.061 +6561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.402073931,0.061 +6563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.734804993,0.061 +6562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.100611142,0.061 +6564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.556670141,0.061 +6565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.615845277,0.061 +6567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.682749323,0.061 +6566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.669777689,0.061 +6568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.731337104,0.061 +6570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.633408534,0.061 +6569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.64343323,0.061 +6571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.382268646,0.061 +6572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.253351631,0.061 +6573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.665049234,0.061 +6574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.505357986,0.061 +6576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.56672377,0.061 +6577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.68768594,0.061 +6580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.133346684,0.061 +6575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.236496034,0.061 +6581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.220582814,0.061 +6582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.578165898,0.061 +6579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.355402743,0.061 +6578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.594667285,0.061 +6583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.0576183,0.061 +6584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.454017008,0.061 +6585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.364503706,0.061 +6586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.734645038,0.061 +6590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.174698173,0.061 +6589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.252691906,0.061 +6588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.352134862,0.061 +6587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.207864407,0.061 +6591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.196978044,0.061 +6593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.79646606,0.061 +6592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.556040798,0.061 +6594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.602541433,0.061 +6596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.724199394,0.061 +6598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.650972375,0.061 +6597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.826130317,0.061 +6595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.518558155,0.061 +6599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.721796263,0.061 +6600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.253998197,0.061 +6601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.390631923,0.061 +6603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.689259176,0.061 +6604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.680808222,0.061 +6606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.516887992,0.061 +6602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.4529735,0.061 +6605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.060911753,0.061 +6607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.695950306,0.061 +6608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.769009864,0.061 +6609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.436507034,0.061 +6610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.062019849,0.061 +6612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.653051483,0.061 +6613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.564442288,0.061 +6614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.249436658,0.061 +6611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.798680028,0.061 +6616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.018491814,0.061 +6617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.381444013,0.061 +6615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.523640492,0.061 +6619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.681742348,0.061 +6618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.460588378,0.061 +6621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.014216519,0.061 +6622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.585699174,0.061 +6620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.423981848,0.061 +6623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.686240382,0.061 +6625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.146867734,0.061 +6624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.217459692,0.061 +6626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.439380062,0.061 +6627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.098222822,0.061 +6628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.658683571,0.061 +6629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.235712525,0.061 +6631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.579566502,0.061 +6630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.540419011,0.061 +6632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.514688874,0.061 +6633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.505843486,0.061 +6636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.371667602,0.061 +6635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.441215725,0.061 +6637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.728617657,0.061 +6634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.3367439,0.061 +6638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.172053835,0.061 +6640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.382788985,0.061 +6641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.49147706,0.061 +6639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.634157071,0.061 +6642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.117954955,0.061 +6643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.285090271,0.061 +6644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.453503713,0.061 +6645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.579529611,0.061 +6646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.719682035,0.061 +6647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.104290937,0.061 +6649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.469504863,0.061 +6648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.533319934,0.061 +6650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.266196222,0.061 +6651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.511561801,0.061 +6653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.092790259,0.061 +6652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.757068071,0.061 +6654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.012866231,0.061 +6655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.213960441,0.061 +6657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.065659161,0.061 +6656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.594566227,0.061 +6659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.244551309,0.061 +6658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.785654896,0.061 +6660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.436747155,0.061 +6661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.095269897,0.061 +6662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.866717231,0.061 +6663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.500703278,0.061 +6664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.746485475,0.061 +6665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.825694943,0.061 +6666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.885826554,0.061 +6668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.183952718,0.061 +6667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.648813102,0.061 +6670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.73370885,0.061 +6669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.428053817,0.061 +6671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.690624938,0.061 +6672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.607083603,0.061 +6674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.645918693,0.061 +6673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.414322528,0.061 +6675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.438654523,0.061 +6676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.044223826,0.061 +6677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.103184641,0.061 +6678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.553484575,0.061 +6679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.287101811,0.061 +6680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.433901503,0.061 +6681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.433516693,0.061 +6683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.33634446,0.061 +6684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.487757873,0.061 +6682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.036034503,0.061 +6685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.03470378,0.061 +6686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.087462057,0.061 +6687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.714769252,0.061 +6688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.57769641,0.061 +6691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.579705741,0.061 +6690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.047782002,0.061 +6689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.423540276,0.061 +6693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.616660142,0.061 +6694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.531893175,0.061 +6696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.007988705,0.061 +6692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.695513103,0.061 +6695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.386078475,0.061 +6697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.247615306,0.061 +6698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.305280373,0.061 +6699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.055170242,0.061 +6700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.512863489,0.061 +6701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.285511195,0.061 +6702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.76758668,0.061 +6704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.686550239,0.061 +6703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.707983093,0.061 +6705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.099619083,0.061 +6706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.418737457,0.061 +6707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.632097123,0.061 +6709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.362787801,0.061 +6708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.12066236,0.061 +6710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.066793281,0.061 +6711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.119455368,0.061 +6712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.054365862,0.061 +6714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.584253717,0.061 +6713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.461269389,0.061 +6715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.75515656,0.061 +6716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.334736511,0.061 +6717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.128593431,0.061 +6718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.4095018,0.061 +6719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.133335549,0.061 +6720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.067614088,0.061 +6721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.738969277,0.061 +6722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.058089812,0.061 +6723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.50250132,0.061 +6724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.500230458,0.061 +6725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.462923717,0.061 +6726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.143434828,0.061 +6727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.529202493,0.061 +6729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.255081875,0.061 +6730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.251057824,0.061 +6728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.044297997,0.061 +6731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.133347884,0.061 +6732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.065624977,0.061 +6733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.28693093,0.061 +6734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.772712113,0.061 +6735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.23500926,0.061 +6736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.600487028,0.061 +6738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.807623452,0.061 +6737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.189958032,0.061 +6740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.795832135,0.061 +6739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.779004504,0.061 +6741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.170481032,0.061 +6742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.726102458,0.061 +6743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.741511436,0.061 +6744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.189534574,0.061 +6746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.419382888,0.061 +6747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.04383056,0.061 +6748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.607331794,0.061 +6749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.469384232,0.061 +6750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.017975853,0.061 +6745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.241705879,0.061 +6751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.414116316,0.061 +6754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.49934158,0.061 +6752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.329583974,0.061 +6755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.285889392,0.061 +6753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.091952867,0.061 +6756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.519758193,0.061 +6757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.037075755,0.061 +6759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.320810113,0.061 +6758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.133865048,0.061 +6763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.056057234,0.061 +6762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.698928555,0.061 +6760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.37509546,0.061 +6761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.412237745,0.061 +6764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.777355591,0.061 +6765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.505342745,0.061 +6766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.244242915,0.061 +6767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.660259734,0.061 +6768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.039639116,0.061 +6770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.480650164,0.061 +6769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.662291001,0.061 +6772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.622675826,0.061 +6771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.213119883,0.061 +6773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.53164297,0.061 +6774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.319600701,0.061 +6775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.518118018,0.061 +6778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.321874426,0.061 +6776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.005831403,0.061 +6777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.627753836,0.061 +6780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.171863067,0.061 +6779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.092838335,0.061 +6781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.345431144,0.061 +6782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.390960177,0.061 +6783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.511597196,0.061 +6784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.001855021,0.061 +6785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.023259545,0.061 +6787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.367005142,0.061 +6786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.311977855,0.061 +6788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.690586553,0.061 +6789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.187920978,0.061 +6790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.515231561,0.061 +6793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.431372615,0.061 +6794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.060310145,0.061 +6792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.661692975,0.061 +6795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.446121332,0.061 +6796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.032737787,0.061 +6791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.559153852,0.061 +6797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.093075846,0.061 +6798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.213312018,0.061 +6799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.608066214,0.061 +6800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.137214068,0.061 +6801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.115836009,0.061 +6802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.11803145,0.061 +6803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.56820255,0.061 +6804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.683914114,0.061 +6805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.748408422,0.061 +6806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.076487473,0.061 +6808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.137936922,0.061 +6807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.402946554,0.061 +6809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.004526512,0.061 +6810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.546255524,0.061 +6811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.01565841,0.061 +6813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.706638147,0.061 +6814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.062604287,0.061 +6812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.032682578,0.061 +6815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.673340604,0.061 +6817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.19607598,0.061 +6816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.591080936,0.061 +6818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.135865762,0.061 +6819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.136752371,0.061 +6820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.379731997,0.061 +6821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.348428216,0.061 +6822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.769795236,0.061 +6823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.443788287,0.061 +6824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.186062845,0.061 +6825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.554463678,0.061 +6826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.322797974,0.061 +6827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.101647299,0.061 +6828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.168414771,0.061 +6829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.427454518,0.061 +6831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.455717063,0.061 +6832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.565105641,0.061 +6830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.425429697,0.061 +6833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.597144616,0.061 +6834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.176812225,0.061 +6835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.022583797,0.061 +6836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.28719483,0.061 +6837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.036880747,0.061 +6838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.337106715,0.061 +6841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.374215746,0.061 +6839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.399292839,0.061 +6843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.339959539,0.061 +6842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.58774357,0.061 +6844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.792732014,0.061 +6840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.286125101,0.061 +6845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.226377121,0.061 +6846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.1453961,0.061 +6847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.321422229,0.061 +6848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.493302712,0.061 +6851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.476765747,0.061 +6850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.25999145,0.061 +6852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.781590107,0.061 +6849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.199260851,0.061 +6854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.370430387,0.061 +6853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.1243927,0.061 +6855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.250896681,0.061 +6856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.505667926,0.061 +6857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.231839287,0.061 +6858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.718546514,0.061 +6859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.287456397,0.061 +6860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.127073172,0.061 +6861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.529789479,0.061 +6863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.718893355,0.061 +6864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.134660537,0.061 +6866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.505955461,0.061 +6862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.541979952,0.061 +6865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.725414665,0.061 +6867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.086242842,0.061 +6868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.371489265,0.061 +6869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.301941321,0.061 +6870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.452792693,0.061 +6871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.638192589,0.061 +6872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.105426586,0.061 +6874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.050685037,0.061 +6875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.621539225,0.061 +6876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.534785485,0.061 +6873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.611640348,0.061 +6878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.01752373,0.061 +6879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.214263615,0.061 +6877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.057755774,0.061 +6881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.198800616,0.061 +6883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.740152822,0.061 +6882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.571841501,0.061 +6880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.516313711,0.061 +6884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.22206496,0.061 +6886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.610012744,0.061 +6885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.661774119,0.061 +6887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.55285022,0.061 +6890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.268349417,0.061 +6888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.404075003,0.061 +6891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.293021347,0.061 +6889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.705212462,0.061 +6892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.845522777,0.061 +6893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.365142232,0.061 +6894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.160725113,0.061 +6895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.382394594,0.061 +6896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.685569904,0.061 +6899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.66919965,0.061 +6897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.332795004,0.061 +6898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.405278689,0.061 +6902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.05982362,0.061 +6901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.19895076,0.061 +6900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.296859997,0.061 +6903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.060038608,0.061 +6904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.347017568,0.061 +6906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.514219263,0.061 +6907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.496854793,0.061 +6905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.042508147,0.061 +6908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.008086259,0.061 +6911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.518791026,0.061 +6909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.669665512,0.061 +6910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.224626671,0.061 +6913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.694055996,0.061 +6912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.613188063,0.061 +6914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.253099199,0.061 +6916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.263559672,0.061 +6915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.297913692,0.061 +6917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.011913232,0.061 +6918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.292538668,0.061 +6920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.546948482,0.061 +6919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.666242893,0.061 +6921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.040392068,0.061 +6922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.267704993,0.061 +6923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.193693282,0.061 +6924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.00457674,0.061 +6925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.643451338,0.061 +6926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.514048227,0.061 +6927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.341698849,0.061 +6928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.603833356,0.061 +6929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.290416879,0.061 +6930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.025913789,0.061 +6931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.731155235,0.061 +6932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.099699937,0.061 +6933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.123254516,0.061 +6934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.745881141,0.061 +6935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.660200657,0.061 +6936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.268132823,0.061 +6937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.334435923,0.061 +6938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.112301597,0.061 +6939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.237268674,0.061 +6940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.488981663,0.061 +6941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.201851397,0.061 +6942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.081524273,0.061 +6943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.705972165,0.061 +6944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.816201566,0.061 +6945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.016480789,0.061 +6947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.670046722,0.061 +6946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.177781573,0.061 +6948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.238586618,0.061 +6949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.314621814,0.061 +6950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.155255622,0.061 +6951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.509940959,0.061 +6952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.143910232,0.061 +6953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.595284243,0.061 +6954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.721161896,0.061 +6956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.507760543,0.061 +6957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.179298013,0.061 +6955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.631362004,0.061 +6958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.850622124,0.061 +6960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.502761084,0.061 +6959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.798762893,0.061 +6962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.229164557,0.061 +6961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.718891176,0.061 +6963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.20409855,0.061 +6965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.301498955,0.061 +6966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.121921738,0.061 +6964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.296296518,0.061 +6967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.239443069,0.061 +6968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.208374791,0.061 +6969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.513445821,0.061 +6970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.07308287,0.061 +6971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.4263165,0.061 +6973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.029726411,0.061 +6972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.120550436,0.061 +6974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.61115324,0.061 +6976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.409422236,0.061 +6977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.039819865,0.061 +6975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.036708933,0.061 +6978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.491967565,0.061 +6979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.643598155,0.061 +6980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.0143416,0.061 +6981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.591733511,0.061 +6985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.604917197,0.061 +6983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.527273234,0.061 +6984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.41159345,0.061 +6982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.584388203,0.061 +6986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.005957374,0.061 +6987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.312653855,0.061 +6992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.454060958,0.061 +6991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.40796007,0.061 +6993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,0.033188523,0.061 +6990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.751225447,0.061 +6994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.51749425,0.061 +6988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.601810403,0.061 +6989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.048297346,0.061 +6995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.770667997,0.061 +6996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.495741872,0.061 +6998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.154572135,0.061 +6997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.483629202,0.061 +6999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.554754328,0.061 +7000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.3,10,1,-0.163786081,0.061 +7001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.219480394,0.051 +7002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.464401145,0.051 +7003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.651550641,0.051 +7004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.031580794,0.051 +7006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.262098432,0.051 +7008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.065562408,0.051 +7007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.678949837,0.051 +7005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.187784684,0.051 +7009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.659744941,0.051 +7010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.804347128,0.051 +7012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.178568833,0.051 +7015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.415991803,0.051 +7011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.826339987,0.051 +7014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.035735589,0.051 +7013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.404943279,0.051 +7016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.26439717,0.051 +7017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.258574653,0.051 +7019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.366089577,0.051 +7021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.066660959,0.051 +7022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.206674527,0.051 +7020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.186959032,0.051 +7023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.414270197,0.051 +7018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.626961956,0.051 +7025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.054595779,0.051 +7024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.060584212,0.051 +7026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.08027832,0.051 +7027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.795889192,0.051 +7028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.122333649,0.051 +7030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.143268287,0.051 +7031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.706105083,0.051 +7029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.746383255,0.051 +7032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.005523978,0.051 +7033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.655609192,0.051 +7035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.713894072,0.051 +7036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.639935307,0.051 +7039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.631789253,0.051 +7038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.232734136,0.051 +7034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.355934876,0.051 +7037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.425209419,0.051 +7040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.19746414,0.051 +7041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.321690774,0.051 +7042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.502548334,0.051 +7043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.17954754,0.051 +7044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.352051682,0.051 +7046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.709861064,0.051 +7047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.198640503,0.051 +7048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.547912606,0.051 +7045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.149020116,0.051 +7049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.314310891,0.051 +7053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.033626189,0.051 +7052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.395592216,0.051 +7051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.028424467,0.051 +7054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.397590377,0.051 +7056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.687540329,0.051 +7050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.067124801,0.051 +7055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.351851025,0.051 +7057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.728249265,0.051 +7058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.307860055,0.051 +7059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.467785246,0.051 +7060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.373820161,0.051 +7061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.811861629,0.051 +7063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.080607333,0.051 +7064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.768812511,0.051 +7062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.51875343,0.051 +7065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.667790883,0.051 +7066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.583660337,0.051 +7067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.758574258,0.051 +7068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.403924106,0.051 +7069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.534917128,0.051 +7070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.393086927,0.051 +7071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.803610577,0.051 +7072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.610000406,0.051 +7073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.31706142,0.051 +7075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.767956704,0.051 +7076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.517274493,0.051 +7074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.701143264,0.051 +7078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.134624092,0.051 +7077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.017601887,0.051 +7079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.565863937,0.051 +7081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.045488514,0.051 +7080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.225798329,0.051 +7083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.569203961,0.051 +7082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.76553157,0.051 +7084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.185286888,0.051 +7086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.451327767,0.051 +7085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.2299244,0.051 +7087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.527151024,0.051 +7090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.783250519,0.051 +7088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.529728253,0.051 +7089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.450512108,0.051 +7091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.727856141,0.051 +7092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.482263089,0.051 +7094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.220587871,0.051 +7093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.442028713,0.051 +7095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.362019222,0.051 +7096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.455216697,0.051 +7097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.713687673,0.051 +7099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.702098438,0.051 +7101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.695738646,0.051 +7100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.008956482,0.051 +7098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.23585166,0.051 +7102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.380744604,0.051 +7103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.567111623,0.051 +7104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.539089069,0.051 +7105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.531679352,0.051 +7106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.210444001,0.051 +7108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.215698623,0.051 +7107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.524297991,0.051 +7109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.052750444,0.051 +7110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.216582929,0.051 +7112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.043276103,0.051 +7111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.317352964,0.051 +7114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.304523941,0.051 +7113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.30699673,0.051 +7115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.020577513,0.051 +7116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.713732301,0.051 +7117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.366373076,0.051 +7118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.48430941,0.051 +7120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.314438324,0.051 +7119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.676351576,0.051 +7121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.091734821,0.051 +7123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.783258511,0.051 +7122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.379197461,0.051 +7124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.184810386,0.051 +7127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.2391055,0.051 +7126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.494473439,0.051 +7129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.275707017,0.051 +7130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.361678238,0.051 +7131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.022825843,0.051 +7132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.029845299,0.051 +7128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.698967475,0.051 +7125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.329023301,0.051 +7135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.454646994,0.051 +7134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.355245577,0.051 +7137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.605927978,0.051 +7133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.103799396,0.051 +7138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.415665229,0.051 +7139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.676183724,0.051 +7140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.393423581,0.051 +7136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.318809458,0.051 +7141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.382065615,0.051 +7142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.630194103,0.051 +7143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.221799972,0.051 +7145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.914013243,0.051 +7146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.362224544,0.051 +7144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.044890808,0.051 +7148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.413120573,0.051 +7147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.02894165,0.051 +7149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.645832467,0.051 +7151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.732297683,0.051 +7150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.484819349,0.051 +7152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.615291801,0.051 +7153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.746410353,0.051 +7154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.691873262,0.051 +7155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.755318453,0.051 +7157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.515374545,0.051 +7158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.012519218,0.051 +7159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.555994494,0.051 +7156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.386435234,0.051 +7160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.590085914,0.051 +7162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.39149652,0.051 +7163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.079834926,0.051 +7161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.425852085,0.051 +7164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.222986412,0.051 +7165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.352273632,0.051 +7166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.352879196,0.051 +7168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.536371967,0.051 +7167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.813858277,0.051 +7169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.266520639,0.051 +7170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.542315881,0.051 +7171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.573300868,0.051 +7173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.187929784,0.051 +7172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.544485389,0.051 +7174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.147782654,0.051 +7175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.221109746,0.051 +7177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.478030203,0.051 +7176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.589823704,0.051 +7179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.071215632,0.051 +7181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.105279414,0.051 +7180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.433340091,0.051 +7182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.371701798,0.051 +7183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.469778058,0.051 +7184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.288132064,0.051 +7178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.277029512,0.051 +7186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.562322805,0.051 +7185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.06561519,0.051 +7187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.630397387,0.051 +7190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.509951123,0.051 +7188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.698410968,0.051 +7189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.577347429,0.051 +7191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.531885974,0.051 +7192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.04737359,0.051 +7193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.421674586,0.051 +7194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.637306869,0.051 +7195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.319605248,0.051 +7196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.108233992,0.051 +7197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.801105808,0.051 +7198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.021852401,0.051 +7199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.525066305,0.051 +7200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.584976559,0.051 +7201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.67865071,0.051 +7203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.405307549,0.051 +7206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.022514282,0.051 +7207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.793239281,0.051 +7205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.023327026,0.051 +7204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.466042334,0.051 +7208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.135792443,0.051 +7202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.178194205,0.051 +7209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.189935307,0.051 +7211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.282389481,0.051 +7210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.518422556,0.051 +7212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.241315458,0.051 +7213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.573218191,0.051 +7214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.06119273,0.051 +7216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.828055925,0.051 +7217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.581153223,0.051 +7215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.328282386,0.051 +7219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.75655483,0.051 +7220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.145041823,0.051 +7221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.63434872,0.051 +7222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.467968856,0.051 +7218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.245569436,0.051 +7223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.618903848,0.051 +7225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.647169429,0.051 +7224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.164128874,0.051 +7227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.137949607,0.051 +7226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.301017574,0.051 +7228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.57891365,0.051 +7229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.29747589,0.051 +7230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.25046273,0.051 +7232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.051207803,0.051 +7231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.258866787,0.051 +7233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.372517442,0.051 +7234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.235411282,0.051 +7235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.334938672,0.051 +7236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.083687235,0.051 +7238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.527098281,0.051 +7237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.368263871,0.051 +7240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.008487817,0.051 +7241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.555914225,0.051 +7239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.735187407,0.051 +7242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.289482736,0.051 +7243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.568912825,0.051 +7244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.149814689,0.051 +7245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.006111976,0.051 +7246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.451941303,0.051 +7248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.726357696,0.051 +7249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.483173682,0.051 +7247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.616720325,0.051 +7250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.122609955,0.051 +7252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.222514743,0.051 +7251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.637235015,0.051 +7254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.580378582,0.051 +7253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.550184009,0.051 +7255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.223735892,0.051 +7256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.406898906,0.051 +7257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.483568002,0.051 +7258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.738996708,0.051 +7259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.587388645,0.051 +7260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.001519782,0.051 +7262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.387427755,0.051 +7261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.535959788,0.051 +7264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.73695256,0.051 +7263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.348731825,0.051 +7266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.686799938,0.051 +7265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.01508639,0.051 +7269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.618270318,0.051 +7268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.424794191,0.051 +7267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.075433787,0.051 +7270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.442492517,0.051 +7271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.224066513,0.051 +7272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.619555362,0.051 +7273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.681392326,0.051 +7274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.042027962,0.051 +7276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.318238932,0.051 +7277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.371058682,0.051 +7275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.867309997,0.051 +7280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.431037858,0.051 +7278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.456291523,0.051 +7279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.48939001,0.051 +7281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.084894927,0.051 +7283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.644370616,0.051 +7282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.287661131,0.051 +7285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.583020964,0.051 +7284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.107718487,0.051 +7287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.588001117,0.051 +7289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.268973125,0.051 +7286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.064412796,0.051 +7288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.230067242,0.051 +7290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.482587076,0.051 +7293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.1139497,0.051 +7291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.079290826,0.051 +7292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.356559477,0.051 +7296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.08895246,0.051 +7294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.371943085,0.051 +7297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.4896109,0.051 +7298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.353330231,0.051 +7295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.33138601,0.051 +7299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.431798135,0.051 +7300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.219913847,0.051 +7301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.018134275,0.051 +7302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.577475535,0.051 +7304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.70675245,0.051 +7303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.515845605,0.051 +7305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.567101493,0.051 +7306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.486800623,0.051 +7307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.63866634,0.051 +7310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.509332478,0.051 +7311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.387919999,0.051 +7309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.804031243,0.051 +7312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.40071126,0.051 +7313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.373931904,0.051 +7308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.37503871,0.051 +7314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.746393825,0.051 +7315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.582916669,0.051 +7316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.149154399,0.051 +7320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.126883695,0.051 +7317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.111857475,0.051 +7318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.631564621,0.051 +7321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.446573572,0.051 +7322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.705903645,0.051 +7319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.432260398,0.051 +7323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.313787865,0.051 +7324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.716296999,0.051 +7326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.639511445,0.051 +7327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.364798032,0.051 +7328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.545238505,0.051 +7325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.011433692,0.051 +7330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.007889261,0.051 +7329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.625038897,0.051 +7331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.351586136,0.051 +7332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.657452216,0.051 +7333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.296672214,0.051 +7335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.025169906,0.051 +7336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.613252246,0.051 +7334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.524722766,0.051 +7337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.2044834,0.051 +7339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.039774567,0.051 +7338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.680094244,0.051 +7340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.465263977,0.051 +7342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.586268812,0.051 +7341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.231460733,0.051 +7344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.356813498,0.051 +7343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.276030903,0.051 +7345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.743863976,0.051 +7347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.383535693,0.051 +7348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.262357142,0.051 +7349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.340366569,0.051 +7350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.021012074,0.051 +7346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.467046727,0.051 +7352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.770041402,0.051 +7353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.048421589,0.051 +7351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.252801208,0.051 +7354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.024425368,0.051 +7355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.232760779,0.051 +7357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.458375659,0.051 +7359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.470689721,0.051 +7356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.784742359,0.051 +7361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.113507369,0.051 +7360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.223911769,0.051 +7358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.756540412,0.051 +7362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.620674251,0.051 +7363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.506216296,0.051 +7364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.228897107,0.051 +7365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.026235604,0.051 +7367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.713040629,0.051 +7368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.836441113,0.051 +7366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.24017404,0.051 +7369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.363469902,0.051 +7370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.121894961,0.051 +7372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.117401869,0.051 +7371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.158208447,0.051 +7373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.272740893,0.051 +7376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.451053704,0.051 +7375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.265305401,0.051 +7374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.581785031,0.051 +7377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.079476632,0.051 +7378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.503348568,0.051 +7379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.448413007,0.051 +7380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.522802892,0.051 +7381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.376398842,0.051 +7382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.681971924,0.051 +7384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.672087645,0.051 +7383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.566241617,0.051 +7387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.373631737,0.051 +7385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.608866362,0.051 +7388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.757979758,0.051 +7386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.397752274,0.051 +7389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.406797588,0.051 +7390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.77541471,0.051 +7391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.41394013,0.051 +7392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.406307387,0.051 +7395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.193969305,0.051 +7396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.785705784,0.051 +7393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.646334308,0.051 +7394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.192235977,0.051 +7397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.200037648,0.051 +7398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.196730256,0.051 +7399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.800392613,0.051 +7400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.601603872,0.051 +7401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.66244274,0.051 +7403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.588997861,0.051 +7402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.150514817,0.051 +7405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.360503652,0.051 +7406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.741764929,0.051 +7407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.50598304,0.051 +7408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.701258502,0.051 +7404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.509851883,0.051 +7409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.085747257,0.051 +7411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.099014993,0.051 +7410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.765342023,0.051 +7412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.159465189,0.051 +7413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.720122887,0.051 +7414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.722787889,0.051 +7415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.006547958,0.051 +7416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.354283335,0.051 +7417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.542271731,0.051 +7419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.693730245,0.051 +7418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.178212174,0.051 +7421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.422869174,0.051 +7420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.459210943,0.051 +7422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.280545244,0.051 +7423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.442452894,0.051 +7424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.188001216,0.051 +7426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.452564505,0.051 +7427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.364845527,0.051 +7425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.539891557,0.051 +7428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.754528038,0.051 +7429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.130519931,0.051 +7430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.606838578,0.051 +7431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.530023553,0.051 +7434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.409165024,0.051 +7432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.258222108,0.051 +7433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.14463528,0.051 +7435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.385804799,0.051 +7436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.616933709,0.051 +7437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.304784286,0.051 +7438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.371911957,0.051 +7439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.185597156,0.051 +7440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.508736563,0.051 +7442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.151324983,0.051 +7441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.083770376,0.051 +7443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.596605243,0.051 +7444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.682431017,0.051 +7445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.307369865,0.051 +7446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.58297864,0.051 +7447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.307384531,0.051 +7448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.192232017,0.051 +7449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.669649199,0.051 +7452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.445463614,0.051 +7450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.569113105,0.051 +7451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.728151979,0.051 +7453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.312585427,0.051 +7455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.251245855,0.051 +7454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.029507581,0.051 +7457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.012546674,0.051 +7456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.056808303,0.051 +7458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.204511612,0.051 +7460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.080832187,0.051 +7459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.646236088,0.051 +7461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.211022523,0.051 +7463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.697969104,0.051 +7462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.490477321,0.051 +7465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.606299641,0.051 +7466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.62385014,0.051 +7467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.452387338,0.051 +7464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.532928548,0.051 +7469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.664398598,0.051 +7468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.119381695,0.051 +7470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.153503984,0.051 +7471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.041185981,0.051 +7472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.480163096,0.051 +7474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.505009334,0.051 +7475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.479209159,0.051 +7473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.290614942,0.051 +7476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.669974696,0.051 +7478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.574413416,0.051 +7479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.388340373,0.051 +7480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.047723246,0.051 +7481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.549861787,0.051 +7482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.116034481,0.051 +7477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.7116865,0.051 +7484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.019567,0.051 +7485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.563743055,0.051 +7486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.487414048,0.051 +7483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.16997563,0.051 +7487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.45600001,0.051 +7488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.005050221,0.051 +7490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.00715502,0.051 +7489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.674946599,0.051 +7491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.759924326,0.051 +7494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.796764248,0.051 +7495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.323267766,0.051 +7493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.044021859,0.051 +7492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.547139986,0.051 +7496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.556080956,0.051 +7498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.652173457,0.051 +7499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.652158617,0.051 +7497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.6471352,0.051 +7502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.564429382,0.051 +7500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.273352465,0.051 +7503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.616855019,0.051 +7501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.282458798,0.051 +7504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.106185265,0.051 +7505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.398629889,0.051 +7506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.623407727,0.051 +7507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.229050325,0.051 +7509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-5.92E-04,0.051 +7511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.327413466,0.051 +7508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.711456744,0.051 +7510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.292267794,0.051 +7512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.840509274,0.051 +7514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.091933407,0.051 +7513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.592452987,0.051 +7516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.145725143,0.051 +7518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.087502906,0.051 +7519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.632118761,0.051 +7520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.010567744,0.051 +7517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.699264422,0.051 +7515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.093464709,0.051 +7521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.127424407,0.051 +7522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.331844368,0.051 +7523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.65261831,0.051 +7524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.205240879,0.051 +7525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.160912792,0.051 +7527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.45670893,0.051 +7528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.061455495,0.051 +7529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.049568887,0.051 +7526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.078898775,0.051 +7530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.706473682,0.051 +7531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.661610636,0.051 +7532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.292807043,0.051 +7533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.756300096,0.051 +7534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.180407887,0.051 +7536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.293881651,0.051 +7537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.019472314,0.051 +7535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.442809805,0.051 +7538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.479451183,0.051 +7540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.273661223,0.051 +7541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.291242273,0.051 +7539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.421522058,0.051 +7542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.680145288,0.051 +7543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.602599406,0.051 +7544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.337035083,0.051 +7545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.386207056,0.051 +7546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.011872824,0.051 +7548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.082666297,0.051 +7547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.667450069,0.051 +7549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.541754595,0.051 +7550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.844788194,0.051 +7551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.549647755,0.051 +7552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.718248958,0.051 +7553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.736517973,0.051 +7555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.38651123,0.051 +7554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.290604623,0.051 +7558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.02407899,0.051 +7556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.631960601,0.051 +7559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.471726316,0.051 +7560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.195452892,0.051 +7557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.561917189,0.051 +7562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.632299309,0.051 +7563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.518910701,0.051 +7561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.54413908,0.051 +7564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.230529666,0.051 +7565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.108988838,0.051 +7566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.10746954,0.051 +7567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.70687704,0.051 +7568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.419641585,0.051 +7570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.271237182,0.051 +7572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.227159395,0.051 +7569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.155212346,0.051 +7574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.37225888,0.051 +7575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.506658224,0.051 +7571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.630126859,0.051 +7576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.059084189,0.051 +7573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.350346206,0.051 +7578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.731434566,0.051 +7577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.276617826,0.051 +7579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.823621217,0.051 +7580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.58201763,0.051 +7581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.557227056,0.051 +7583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.610681465,0.051 +7582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.528208942,0.051 +7584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.469138465,0.051 +7585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.026281997,0.051 +7586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.29515755,0.051 +7587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.527212308,0.051 +7588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.061017061,0.051 +7589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.137698986,0.051 +7590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.223469018,0.051 +7592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.452725056,0.051 +7591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.146361536,0.051 +7597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.722897201,0.051 +7595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.391530777,0.051 +7594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.405663006,0.051 +7596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.538873731,0.051 +7593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.595847752,0.051 +7598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.331027677,0.051 +7599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.203067747,0.051 +7600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.558165716,0.051 +7603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.265728245,0.051 +7601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.772993543,0.051 +7605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.442371947,0.051 +7602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.691276754,0.051 +7606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.270643686,0.051 +7604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.171252991,0.051 +7607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.05554576,0.051 +7608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.620944774,0.051 +7609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.002751122,0.051 +7610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.428226593,0.051 +7612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.40919303,0.051 +7613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.447886872,0.051 +7611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.036691265,0.051 +7614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.060747563,0.051 +7615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.027892842,0.051 +7616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.796473768,0.051 +7617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.839473698,0.051 +7618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.677988195,0.051 +7619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.093071582,0.051 +7621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.799947413,0.051 +7620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.736346626,0.051 +7623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.25515693,0.051 +7622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.494148789,0.051 +7624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.435446104,0.051 +7625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.778972765,0.051 +7627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.663634908,0.051 +7626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.184501626,0.051 +7628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.290092312,0.051 +7629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.395798074,0.051 +7631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.145356294,0.051 +7630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.11529754,0.051 +7634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.587980316,0.051 +7635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.123278968,0.051 +7632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.426999173,0.051 +7633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.556241844,0.051 +7637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.023035321,0.051 +7636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.008523606,0.051 +7638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.158603008,0.051 +7639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.417645394,0.051 +7641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.055173848,0.051 +7642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.24077407,0.051 +7640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.04666312,0.051 +7643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.369770942,0.051 +7644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.028607362,0.051 +7645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.360741603,0.051 +7646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.565044324,0.051 +7647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.304728457,0.051 +7648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.346954646,0.051 +7650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.075249218,0.051 +7651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.092973378,0.051 +7649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.445272292,0.051 +7654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.572733914,0.051 +7652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.215590137,0.051 +7655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.485608285,0.051 +7653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.38667519,0.051 +7656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.010581176,0.051 +7657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.325558198,0.051 +7658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.088600635,0.051 +7659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.245353747,0.051 +7661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.105545163,0.051 +7662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.38330883,0.051 +7663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.438807261,0.051 +7660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.01139105,0.051 +7665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.281567554,0.051 +7666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.165070146,0.051 +7664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.8264319,0.051 +7668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.079230039,0.051 +7667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.763692534,0.051 +7670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.718401587,0.051 +7671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.346774243,0.051 +7669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.045620384,0.051 +7672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.144684716,0.051 +7674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.308541929,0.051 +7673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.801484964,0.051 +7675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.246432023,0.051 +7678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.02411314,0.051 +7677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.47878303,0.051 +7679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.282997595,0.051 +7676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.589257886,0.051 +7680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.621388281,0.051 +7681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.475653338,0.051 +7682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.519633287,0.051 +7683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.313191375,0.051 +7685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.486287039,0.051 +7684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.117257245,0.051 +7686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.493648853,0.051 +7688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.256572327,0.051 +7689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.739655831,0.051 +7687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.700729112,0.051 +7690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.835813436,0.051 +7693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.602271523,0.051 +7692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.139636467,0.051 +7695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.257803918,0.051 +7691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.219627446,0.051 +7696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.552872737,0.051 +7694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.320867304,0.051 +7697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.060201997,0.051 +7698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.197482971,0.051 +7700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.423758274,0.051 +7702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.626603993,0.051 +7701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.015687345,0.051 +7699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.552730247,0.051 +7704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.408139001,0.051 +7703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.07974773,0.051 +7705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.57601304,0.051 +7706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.690461447,0.051 +7708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.495797033,0.051 +7710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.30016899,0.051 +7709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.147344264,0.051 +7707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.059348586,0.051 +7711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.050330543,0.051 +7712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.307813853,0.051 +7714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.629423765,0.051 +7713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.154612804,0.051 +7715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.065391509,0.051 +7716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.710295072,0.051 +7718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.318311752,0.051 +7717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.591584413,0.051 +7720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.863267095,0.051 +7719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.462178564,0.051 +7721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.515192784,0.051 +7722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.200747902,0.051 +7723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.613707692,0.051 +7724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.107725327,0.051 +7725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.210739106,0.051 +7727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.251438879,0.051 +7726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.552314506,0.051 +7728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.217212214,0.051 +7729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.098572434,0.051 +7731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.340627267,0.051 +7732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.041201516,0.051 +7733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.769477588,0.051 +7734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.632680217,0.051 +7735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.151590867,0.051 +7730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.451088188,0.051 +7736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.211209684,0.051 +7738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.667391739,0.051 +7737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.277347056,0.051 +7740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.335060581,0.051 +7742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.126677745,0.051 +7741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.464178602,0.051 +7744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.693390296,0.051 +7739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.477205705,0.051 +7743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.490115518,0.051 +7745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.324571885,0.051 +7746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.289710624,0.051 +7748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.223955026,0.051 +7749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.048477516,0.051 +7750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.637098417,0.051 +7751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.427403238,0.051 +7747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.587193345,0.051 +7753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.45167194,0.051 +7754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.624833405,0.051 +7752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.510408001,0.051 +7757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.469887243,0.051 +7756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.09947283,0.051 +7758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.305480232,0.051 +7755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.595148592,0.051 +7759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.514576818,0.051 +7760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.441938569,0.051 +7761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.427372219,0.051 +7762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.434093268,0.051 +7764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.24387863,0.051 +7766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.011688679,0.051 +7767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.560345387,0.051 +7765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.763033311,0.051 +7763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.319595608,0.051 +7769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.604903409,0.051 +7768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.558031442,0.051 +7770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.237977934,0.051 +7771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.25125771,0.051 +7774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.745289376,0.051 +7772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.227549011,0.051 +7773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.693188157,0.051 +7775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.0196476,0.051 +7776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.108531207,0.051 +7777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.691977896,0.051 +7778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.10362372,0.051 +7779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.556501355,0.051 +7780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.302005934,0.051 +7781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.041356069,0.051 +7782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.777181384,0.051 +7784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.050448147,0.051 +7783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.508879571,0.051 +7785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.695812259,0.051 +7787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.238855042,0.051 +7788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.19683578,0.051 +7789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.101376975,0.051 +7790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.660490305,0.051 +7792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.250019298,0.051 +7791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.254839685,0.051 +7786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.334804497,0.051 +7793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.352173577,0.051 +7795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.771828506,0.051 +7796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.725496137,0.051 +7794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.033249915,0.051 +7798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.018650222,0.051 +7799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.467438271,0.051 +7800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.800889512,0.051 +7797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.013985635,0.051 +7801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.683841621,0.051 +7802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.235267089,0.051 +7803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.664862105,0.051 +7804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.182160138,0.051 +7806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.813727786,0.051 +7805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.132554763,0.051 +7808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.145663643,0.051 +7809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.026105485,0.051 +7810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.241697062,0.051 +7807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.153901117,0.051 +7811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.378965571,0.051 +7814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.310923309,0.051 +7813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.510119683,0.051 +7812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.502939266,0.051 +7815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.502008019,0.051 +7816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.480211551,0.051 +7817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.733296701,0.051 +7819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.251741427,0.051 +7821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.226545623,0.051 +7818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.460991238,0.051 +7823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.556950856,0.051 +7822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.144978248,0.051 +7820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.067760745,0.051 +7824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.404979026,0.051 +7825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.387609427,0.051 +7826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.143004976,0.051 +7827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.221377377,0.051 +7829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.576988247,0.051 +7830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.498768502,0.051 +7831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.033073986,0.051 +7832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.6547029,0.051 +7828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.169191903,0.051 +7833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.264676928,0.051 +7834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.005507078,0.051 +7835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.310331535,0.051 +7838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.600684811,0.051 +7837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.122889088,0.051 +7836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.302520059,0.051 +7839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.088843271,0.051 +7840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.102322852,0.051 +7842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.17983015,0.051 +7841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.71945259,0.051 +7843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.378180157,0.051 +7844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.219228264,0.051 +7846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.551591765,0.051 +7847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.624024687,0.051 +7845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.573227645,0.051 +7849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.389672688,0.051 +7850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.621017823,0.051 +7848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.573848919,0.051 +7851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.285818545,0.051 +7852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.82116297,0.051 +7854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.755060107,0.051 +7853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.352592944,0.051 +7855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.793114221,0.051 +7856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.231145075,0.051 +7857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.408176437,0.051 +7859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.664458463,0.051 +7862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.058010068,0.051 +7861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.601336637,0.051 +7858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.616592612,0.051 +7860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.766759735,0.051 +7863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.514261698,0.051 +7865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.473675266,0.051 +7866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.559142982,0.051 +7864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.703289377,0.051 +7868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.228167094,0.051 +7867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.685436849,0.051 +7870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.430924772,0.051 +7871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.619838594,0.051 +7872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.217775348,0.051 +7869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.404260237,0.051 +7873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.612180866,0.051 +7874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.511253742,0.051 +7876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.826481884,0.051 +7875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.671927331,0.051 +7878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.616099334,0.051 +7877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.682742742,0.051 +7879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.357613768,0.051 +7880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.646964851,0.051 +7881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.320356421,0.051 +7882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.077890502,0.051 +7883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.524702001,0.051 +7884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.517034035,0.051 +7886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.452789977,0.051 +7885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.749606841,0.051 +7887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.792661486,0.051 +7889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.156719169,0.051 +7890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.776359999,0.051 +7891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.006352576,0.051 +7892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.524662153,0.051 +7893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.751642655,0.051 +7894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.450064111,0.051 +7888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.410366646,0.051 +7895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.805219249,0.051 +7897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.241509921,0.051 +7896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.344787755,0.051 +7898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.113440732,0.051 +7899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.157509334,0.051 +7901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.63891988,0.051 +7900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.349066841,0.051 +7902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.449085598,0.051 +7903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.044190817,0.051 +7904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.070404926,0.051 +7905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.846928722,0.051 +7906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.328756568,0.051 +7908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.527965101,0.051 +7907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.492529511,0.051 +7909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.400557501,0.051 +7911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.366141347,0.051 +7912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.329758974,0.051 +7913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.525037099,0.051 +7910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.754913252,0.051 +7914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.24587438,0.051 +7915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.321766469,0.051 +7916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.163524535,0.051 +7917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.225854511,0.051 +7918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.278141164,0.051 +7919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.223426935,0.051 +7920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.456828247,0.051 +7921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.436276388,0.051 +7922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.394200894,0.051 +7923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.233475864,0.051 +7924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.365190929,0.051 +7925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.660830443,0.051 +7926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.130718416,0.051 +7927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.344520277,0.051 +7928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.309957569,0.051 +7929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.20504233,0.051 +7930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.045230901,0.051 +7931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.077543971,0.051 +7932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.1318019,0.051 +7933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.096278771,0.051 +7934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.431971246,0.051 +7935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.737817031,0.051 +7936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.021192995,0.051 +7938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.253029824,0.051 +7937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.457061755,0.051 +7939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.725286404,0.051 +7940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.652057055,0.051 +7941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.615802509,0.051 +7942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.348058181,0.051 +7944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.011353616,0.051 +7943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.135666624,0.051 +7945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.362721899,0.051 +7947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.675837811,0.051 +7946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.488256961,0.051 +7948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.834924445,0.051 +7949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.473885057,0.051 +7950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.792888367,0.051 +7952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.287575366,0.051 +7951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.312562577,0.051 +7953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.750609632,0.051 +7954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.521281974,0.051 +7956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.785935608,0.051 +7957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.207108072,0.051 +7955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.311989037,0.051 +7958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.080790409,0.051 +7960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.347808285,0.051 +7959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.158647843,0.051 +7961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.720740458,0.051 +7962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.640409948,0.051 +7963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.152061117,0.051 +7964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.72636852,0.051 +7965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.434597595,0.051 +7967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.539063167,0.051 +7966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.45104668,0.051 +7968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.236923047,0.051 +7969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.741661123,0.051 +7970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.429251769,0.051 +7971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.378914372,0.051 +7972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.823822467,0.051 +7974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.715220549,0.051 +7973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.238701603,0.051 +7975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.399377225,0.051 +7976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.46255586,0.051 +7977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-7.42E-04,0.051 +7978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.047307922,0.051 +7979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.677405155,0.051 +7980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.364281652,0.051 +7981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.247193648,0.051 +7982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.690937344,0.051 +7983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.126738968,0.051 +7984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.603681378,0.051 +7985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.400889291,0.051 +7986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.541631745,0.051 +7988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.778735213,0.051 +7987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.712581084,0.051 +7989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.704747249,0.051 +7991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.233515297,0.051 +7992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,0.025753911,0.051 +7993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.223772287,0.051 +7990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.554286905,0.051 +7994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.213477624,0.051 +7996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.067507565,0.051 +7995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.326742708,0.051 +7997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.721356809,0.051 +7999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.028046894,0.051 +8000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.727950096,0.051 +7998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.35,10,1,-0.162902665,0.051 +8001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.027147504,0.079 +8003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.040677847,0.079 +8002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.461516527,0.079 +8004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.495203659,0.079 +8005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.820993161,0.079 +8008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.776582535,0.079 +8007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.731064057,0.079 +8006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.547924292,0.079 +8010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.172281241,0.079 +8011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.387545265,0.079 +8012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.038800816,0.079 +8013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.450580134,0.079 +8009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.904453888,0.079 +8014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.29747251,0.079 +8015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.344240502,0.079 +8016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.035787184,0.079 +8017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.012949308,0.079 +8018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.220485315,0.079 +8020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.692614579,0.079 +8019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.036611998,0.079 +8022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.580418032,0.079 +8021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.456697944,0.079 +8024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.263349221,0.079 +8023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.018198579,0.079 +8026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.155596118,0.079 +8025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.683312759,0.079 +8028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.718679565,0.079 +8027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.677221269,0.079 +8029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.646594592,0.079 +8031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.509128523,0.079 +8032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.148131937,0.079 +8030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.201563766,0.079 +8033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.04076388,0.079 +8034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.722965938,0.079 +8035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.651734592,0.079 +8036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.247428452,0.079 +8037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.208521067,0.079 +8039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.073145877,0.079 +8038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.018308673,0.079 +8040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.45982256,0.079 +8041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.142436503,0.079 +8042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.175330494,0.079 +8043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.504867149,0.079 +8045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.161854469,0.079 +8044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.035705038,0.079 +8046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.145260056,0.079 +8047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.066633562,0.079 +8049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.053631922,0.079 +8051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.743535022,0.079 +8050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.017540143,0.079 +8052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.114977392,0.079 +8053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.580605433,0.079 +8048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.453445658,0.079 +8054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.698956712,0.079 +8055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.159239492,0.079 +8056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.517777102,0.079 +8058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.130109739,0.079 +8057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.400492057,0.079 +8059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.675982871,0.079 +8060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.023575665,0.079 +8061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.048330976,0.079 +8063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.486714705,0.079 +8062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.624657237,0.079 +8064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.493492421,0.079 +8066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.565191816,0.079 +8067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.298597967,0.079 +8065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.497079578,0.079 +8068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.271456551,0.079 +8070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.025644725,0.079 +8069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.613531335,0.079 +8071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.24233307,0.079 +8072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.705534679,0.079 +8074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.046686034,0.079 +8075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.077024863,0.079 +8076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.382823883,0.079 +8073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.736957194,0.079 +8078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.253317717,0.079 +8077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.615516143,0.079 +8079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.087817197,0.079 +8080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.727373425,0.079 +8081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.043608827,0.079 +8083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.125879958,0.079 +8084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.755855118,0.079 +8082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.700466399,0.079 +8086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.329874279,0.079 +8087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.618607881,0.079 +8088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.812122773,0.079 +8089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.171914386,0.079 +8085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.19661165,0.079 +8090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.665179317,0.079 +8091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.611822009,0.079 +8092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.818414071,0.079 +8094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.016272414,0.079 +8093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.303723412,0.079 +8095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.709220799,0.079 +8096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.718976909,0.079 +8097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.032591318,0.079 +8098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.495048366,0.079 +8099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.152941682,0.079 +8100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.723143826,0.079 +8101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.762949221,0.079 +8103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.147120753,0.079 +8104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.646006794,0.079 +8102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.332231883,0.079 +8107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.382786445,0.079 +8105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.01869843,0.079 +8106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.760252758,0.079 +8108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.630492877,0.079 +8109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.226513385,0.079 +8110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.009066294,0.079 +8111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.48986817,0.079 +8112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.489800795,0.079 +8115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.068553381,0.079 +8113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.808906152,0.079 +8114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.337876562,0.079 +8116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.610588974,0.079 +8117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.214259509,0.079 +8119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.836938357,0.079 +8118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.254359949,0.079 +8120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.846405128,0.079 +8122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.140938005,0.079 +8121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.260585406,0.079 +8123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.059868853,0.079 +8124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.280805833,0.079 +8125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.676410596,0.079 +8126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.08101865,0.079 +8127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.183144479,0.079 +8130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.003851779,0.079 +8129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.226833454,0.079 +8128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.433801829,0.079 +8132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.724461246,0.079 +8131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.118025667,0.079 +8133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.441011836,0.079 +8134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.448741076,0.079 +8136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.023312893,0.079 +8135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.051817379,0.079 +8137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.158479316,0.079 +8138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.607158725,0.079 +8139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.067953665,0.079 +8141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.475126622,0.079 +8140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.223985216,0.079 +8142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.088069194,0.079 +8145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.129372828,0.079 +8144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.537344318,0.079 +8143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.578800103,0.079 +8146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.086846029,0.079 +8147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.394995766,0.079 +8148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.818008626,0.079 +8150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.075660503,0.079 +8149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.404969323,0.079 +8152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.079185655,0.079 +8153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.012611264,0.079 +8154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.657121717,0.079 +8151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.676126311,0.079 +8156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.073202604,0.079 +8155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.188110406,0.079 +8157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.035575473,0.079 +8158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.129063865,0.079 +8160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.542806412,0.079 +8159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.386799216,0.079 +8162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.197221032,0.079 +8161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.109952009,0.079 +8164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.00223204,0.079 +8165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.728460655,0.079 +8163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.222338009,0.079 +8166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.082670451,0.079 +8168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.241356296,0.079 +8167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.536963127,0.079 +8170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.255282987,0.079 +8171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.254586582,0.079 +8169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.700808643,0.079 +8172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.525888622,0.079 +8173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.797411785,0.079 +8174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.171624577,0.079 +8176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.676244434,0.079 +8175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.112364376,0.079 +8177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.413081154,0.079 +8179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.043177413,0.079 +8178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.050884606,0.079 +8180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.065613355,0.079 +8181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.572219474,0.079 +8183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.288059298,0.079 +8184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.273933346,0.079 +8185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.417751048,0.079 +8187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.628925945,0.079 +8188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.709840546,0.079 +8182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.489318761,0.079 +8186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.676599418,0.079 +8189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.496684428,0.079 +8190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.370449406,0.079 +8191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.476764987,0.079 +8192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.607103065,0.079 +8193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.029955611,0.079 +8194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.281262358,0.079 +8197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.469009413,0.079 +8196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.230195412,0.079 +8195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.509297874,0.079 +8198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.1451584,0.079 +8199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.371367991,0.079 +8200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.30706526,0.079 +8201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.040549563,0.079 +8204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.037441381,0.079 +8203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.752331014,0.079 +8202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.544033926,0.079 +8206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.23731583,0.079 +8205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.10257779,0.079 +8207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.004109657,0.079 +8208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.653981352,0.079 +8209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.240514098,0.079 +8211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.632151503,0.079 +8212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.414210385,0.079 +8210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.518200176,0.079 +8213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.474063745,0.079 +8215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.407418423,0.079 +8214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.357139866,0.079 +8216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.677086372,0.079 +8217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.605191864,0.079 +8220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.517922759,0.079 +8219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.80158303,0.079 +8218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.641250596,0.079 +8221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.1170911,0.079 +8222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.127630059,0.079 +8223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.358690489,0.079 +8225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.855738136,0.079 +8226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.43118097,0.079 +8224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.023691235,0.079 +8227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.681594546,0.079 +8228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.13126538,0.079 +8229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.508418323,0.079 +8230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.072152692,0.079 +8234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.615836405,0.079 +8233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.128712395,0.079 +8231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.011688495,0.079 +8235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.263500411,0.079 +8232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.45151557,0.079 +8237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.72288434,0.079 +8236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.250764678,0.079 +8238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.515189156,0.079 +8240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.53944985,0.079 +8239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.088024734,0.079 +8243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.704062333,0.079 +8244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.407266019,0.079 +8245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.29813456,0.079 +8241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.759989944,0.079 +8242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.68898116,0.079 +8246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.423512506,0.079 +8248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.201074409,0.079 +8250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.075111198,0.079 +8249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.150930323,0.079 +8247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.336680859,0.079 +8251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.446062298,0.079 +8253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.144305184,0.079 +8252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.693699449,0.079 +8254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.080324058,0.079 +8255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.343625021,0.079 +8258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.102346413,0.079 +8256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.156543587,0.079 +8257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.059289052,0.079 +8259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.422713033,0.079 +8260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.602552095,0.079 +8261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.333621411,0.079 +8262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.022370673,0.079 +8265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.540867762,0.079 +8266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.621220707,0.079 +8263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.419114038,0.079 +8267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.557016239,0.079 +8268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.217380314,0.079 +8264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.02786581,0.079 +8269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.521977775,0.079 +8270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.274399633,0.079 +8273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.195335375,0.079 +8271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.119558365,0.079 +8272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.684086741,0.079 +8274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.011946928,0.079 +8275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.268901755,0.079 +8276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.209349665,0.079 +8278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.423844002,0.079 +8277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.016175949,0.079 +8280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.476821954,0.079 +8281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.172928483,0.079 +8283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.313932289,0.079 +8284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.645770763,0.079 +8282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.563687751,0.079 +8279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.73915234,0.079 +8285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.752107137,0.079 +8286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.685006618,0.079 +8288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.529400244,0.079 +8287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.510981789,0.079 +8290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.629627821,0.079 +8291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.52957097,0.079 +8292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.66164955,0.079 +8289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.433073422,0.079 +8293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.698116326,0.079 +8295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.763403503,0.079 +8294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.404425538,0.079 +8297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.171596388,0.079 +8296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.159502557,0.079 +8299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.782476122,0.079 +8298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.714043355,0.079 +8300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.506197276,0.079 +8301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.338463447,0.079 +8302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.373721177,0.079 +8304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.406277834,0.079 +8305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.471829882,0.079 +8303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.342394419,0.079 +8307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.215395877,0.079 +8306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.662433089,0.079 +8308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.080529083,0.079 +8309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.531412966,0.079 +8310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.412174137,0.079 +8311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.747381029,0.079 +8313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.675017813,0.079 +8312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.283647589,0.079 +8315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.331364185,0.079 +8314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.698497263,0.079 +8316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.556263161,0.079 +8317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.114109278,0.079 +8319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.040459281,0.079 +8320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.602726828,0.079 +8318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.361671165,0.079 +8324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.817490075,0.079 +8321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.471451633,0.079 +8323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.591503616,0.079 +8322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.355761145,0.079 +8325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.033850719,0.079 +8326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.183690912,0.079 +8327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.188391958,0.079 +8328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.404280293,0.079 +8329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.497226414,0.079 +8330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.232947728,0.079 +8331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.176066227,0.079 +8332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.082408776,0.079 +8334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.680826683,0.079 +8336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.242008362,0.079 +8335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.331451982,0.079 +8333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.168348239,0.079 +8337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.109755652,0.079 +8339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.085257009,0.079 +8340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.058311923,0.079 +8341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.724180164,0.079 +8338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.618857587,0.079 +8342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.718663385,0.079 +8343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.517886868,0.079 +8344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.607016254,0.079 +8346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.111750936,0.079 +8345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.073372435,0.079 +8348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.78463685,0.079 +8347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.06356637,0.079 +8349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.704226728,0.079 +8352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.428683761,0.079 +8351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.584065589,0.079 +8353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.589074745,0.079 +8350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.657249355,0.079 +8354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.558677816,0.079 +8355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.602614854,0.079 +8356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.417894284,0.079 +8358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.676424208,0.079 +8359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.657827104,0.079 +8361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.451128129,0.079 +8362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.109954661,0.079 +8360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.281055904,0.079 +8357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.460082049,0.079 +8364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.531544293,0.079 +8363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.556008866,0.079 +8365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.133255896,0.079 +8366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.839718922,0.079 +8367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.398621884,0.079 +8370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.486453545,0.079 +8369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.714281684,0.079 +8371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.312035443,0.079 +8372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.141678523,0.079 +8368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.077961454,0.079 +8373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.621887012,0.079 +8374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.354147391,0.079 +8375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.01052625,0.079 +8379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.220457991,0.079 +8378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.095982265,0.079 +8377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.072135751,0.079 +8380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.687367875,0.079 +8381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.005740986,0.079 +8382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.059494003,0.079 +8376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.778795959,0.079 +8383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.29757099,0.079 +8386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.273451439,0.079 +8384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.080525999,0.079 +8388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.296806866,0.079 +8385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.464686092,0.079 +8387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.075600145,0.079 +8390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.494520718,0.079 +8391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.151893677,0.079 +8389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.681335992,0.079 +8393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.056909728,0.079 +8392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.181018158,0.079 +8395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.201224487,0.079 +8394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.720056444,0.079 +8396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.563807224,0.079 +8397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.429672486,0.079 +8398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.027554517,0.079 +8399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.505190464,0.079 +8401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.516743785,0.079 +8402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.040031277,0.079 +8403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.251742108,0.079 +8405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.310293309,0.079 +8400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.410424246,0.079 +8404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.591219296,0.079 +8406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.101964004,0.079 +8407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.078133145,0.079 +8408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.293423283,0.079 +8410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.78635853,0.079 +8412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.048216622,0.079 +8409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.620104002,0.079 +8414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.596549638,0.079 +8411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.42875505,0.079 +8413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.0473316,0.079 +8415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.225608351,0.079 +8416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.608358359,0.079 +8418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.021887141,0.079 +8417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.526725869,0.079 +8419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.563616759,0.079 +8420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.726082031,0.079 +8421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.003915081,0.079 +8422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.537386544,0.079 +8423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.548103872,0.079 +8424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.69833235,0.079 +8426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.211871669,0.079 +8425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.414599562,0.079 +8427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.003454734,0.079 +8428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.727223759,0.079 +8429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.169165897,0.079 +8430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.837980627,0.079 +8431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.101749999,0.079 +8432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.619344976,0.079 +8433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.712078049,0.079 +8434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.19922833,0.079 +8435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.56550866,0.079 +8436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.740160148,0.079 +8437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.389796013,0.079 +8438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.785131079,0.079 +8441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.539534437,0.079 +8442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.134585745,0.079 +8440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.701973399,0.079 +8444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.577386036,0.079 +8439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.0022512,0.079 +8445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.671346255,0.079 +8446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.440144541,0.079 +8443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.004996932,0.079 +8448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.02396224,0.079 +8447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.348191892,0.079 +8449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.486481702,0.079 +8450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.136668625,0.079 +8451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.218651475,0.079 +8452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.488968173,0.079 +8454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.771180823,0.079 +8453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.74877865,0.079 +8455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.518558362,0.079 +8457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.568976487,0.079 +8456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.082173207,0.079 +8458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.459162166,0.079 +8460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.416034154,0.079 +8461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.140600389,0.079 +8462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.89758501,0.079 +8459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.485762581,0.079 +8463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.316052763,0.079 +8464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.42654803,0.079 +8465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.347714588,0.079 +8466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.478121592,0.079 +8467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.061066235,0.079 +8468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.067645005,0.079 +8470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.591685895,0.079 +8469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.675281012,0.079 +8471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.213451854,0.079 +8472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.066649303,0.079 +8474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.148693575,0.079 +8473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.267689635,0.079 +8475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.034784294,0.079 +8476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.047840524,0.079 +8477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.563025446,0.079 +8479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.663758438,0.079 +8478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.694882595,0.079 +8480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.604568709,0.079 +8482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.106057585,0.079 +8481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.22558912,0.079 +8483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.525290401,0.079 +8484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.002570518,0.079 +8485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.339891758,0.079 +8486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.477332142,0.079 +8488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.490886288,0.079 +8487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.620109823,0.079 +8489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.752573831,0.079 +8490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.61623006,0.079 +8491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.596920707,0.079 +8492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.548924668,0.079 +8493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.384032919,0.079 +8494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.234601174,0.079 +8495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.029197891,0.079 +8496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.688899114,0.079 +8497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.804822993,0.079 +8498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.828724739,0.079 +8499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.174378144,0.079 +8500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.276437176,0.079 +8501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.321978108,0.079 +8502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.284330325,0.079 +8503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.357980478,0.079 +8505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.110572946,0.079 +8506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.520123972,0.079 +8504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.216992764,0.079 +8509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.786912491,0.079 +8510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.007511917,0.079 +8508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.164243524,0.079 +8507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.535348298,0.079 +8511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.51826499,0.079 +8512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.124704339,0.079 +8513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.305935968,0.079 +8514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.11956153,0.079 +8515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.339323504,0.079 +8517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.407294219,0.079 +8518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.899309317,0.079 +8516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.300619572,0.079 +8519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.400755923,0.079 +8520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.434398255,0.079 +8521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.131779862,0.079 +8523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.632052239,0.079 +8522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.096141625,0.079 +8525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.20409099,0.079 +8524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.399614223,0.079 +8526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.075541263,0.079 +8527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.32350768,0.079 +8528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.145729219,0.079 +8529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.032576234,0.079 +8530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.260465806,0.079 +8531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.791704207,0.079 +8532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.097479581,0.079 +8533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.766444456,0.079 +8534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.617044875,0.079 +8535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.439012211,0.079 +8537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.840818732,0.079 +8536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.805373662,0.079 +8538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.33920491,0.079 +8540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.508212795,0.079 +8542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.471464525,0.079 +8541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.191395423,0.079 +8543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.422430602,0.079 +8539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.158819868,0.079 +8545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.04307985,0.079 +8544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.706329191,0.079 +8546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.058883347,0.079 +8547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.318374497,0.079 +8548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.672852947,0.079 +8549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.666578003,0.079 +8550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.711936823,0.079 +8551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.563640049,0.079 +8552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.286200165,0.079 +8554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.812648955,0.079 +8553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.096760303,0.079 +8555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.224279636,0.079 +8556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.473950346,0.079 +8557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.458156366,0.079 +8558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.029238546,0.079 +8560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.166165795,0.079 +8559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.055579182,0.079 +8561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.875654128,0.079 +8563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.712630449,0.079 +8564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.608693587,0.079 +8566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.49822507,0.079 +8565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.325350487,0.079 +8562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.612870061,0.079 +8567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.257043798,0.079 +8568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.026593579,0.079 +8569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.709539337,0.079 +8570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.380706002,0.079 +8571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.521577246,0.079 +8573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.155709655,0.079 +8572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.224353745,0.079 +8574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.610550219,0.079 +8575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.145138561,0.079 +8577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.718347688,0.079 +8576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.145380524,0.079 +8578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.668034274,0.079 +8579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.494394866,0.079 +8581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.361886213,0.079 +8580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.819831896,0.079 +8582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.351346209,0.079 +8583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.772285157,0.079 +8586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.563604904,0.079 +8587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.802666773,0.079 +8584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.075204301,0.079 +8589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.657410101,0.079 +8585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.565780966,0.079 +8590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.043966918,0.079 +8588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.405298977,0.079 +8591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.45242995,0.079 +8592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.743821578,0.079 +8594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.034324445,0.079 +8595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.783074453,0.079 +8593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.682701958,0.079 +8597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.147308239,0.079 +8596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.366968345,0.079 +8598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.022235671,0.079 +8599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.088820782,0.079 +8601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.281766003,0.079 +8603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.087207651,0.079 +8600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.832716357,0.079 +8602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.1883703,0.079 +8604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.205467138,0.079 +8605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.465440846,0.079 +8606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.224844241,0.079 +8608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.208432532,0.079 +8609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.353338417,0.079 +8610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.316761971,0.079 +8611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.478944802,0.079 +8607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.113170048,0.079 +8612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.122622189,0.079 +8613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.098453888,0.079 +8614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.285740429,0.079 +8615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.512796152,0.079 +8617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.643537663,0.079 +8618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.542714493,0.079 +8619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,7.30E-04,0.079 +8616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.613053535,0.079 +8620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.026759315,0.079 +8621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.212847419,0.079 +8624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.142494279,0.079 +8622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.513892866,0.079 +8625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.29417418,0.079 +8623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.038312202,0.079 +8626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.782922767,0.079 +8627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.757701766,0.079 +8628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.360790858,0.079 +8629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.87886487,0.079 +8630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.433525848,0.079 +8632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.696171965,0.079 +8634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.24134979,0.079 +8633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.291336464,0.079 +8635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.545849948,0.079 +8636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.23765646,0.079 +8631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.531846209,0.079 +8637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.039208946,0.079 +8638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.11813103,0.079 +8639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.474184716,0.079 +8642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.551030054,0.079 +8643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.650642544,0.079 +8640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.294609856,0.079 +8641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.407106751,0.079 +8644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.253418204,0.079 +8645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.633110765,0.079 +8646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.349074417,0.079 +8649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.008104945,0.079 +8650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.3133229,0.079 +8651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.054740903,0.079 +8647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.757687237,0.079 +8648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.6761689,0.079 +8652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.083846643,0.079 +8653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.021712019,0.079 +8654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.307901945,0.079 +8658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.148917097,0.079 +8657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.535994883,0.079 +8655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.128464909,0.079 +8656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.214540533,0.079 +8659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.519711849,0.079 +8660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.406207998,0.079 +8661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.237517904,0.079 +8662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.108482208,0.079 +8664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.217028224,0.079 +8665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.717910326,0.079 +8666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.228386045,0.079 +8667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.110662605,0.079 +8663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.833531593,0.079 +8669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.539088335,0.079 +8670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.807403867,0.079 +8668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.568310198,0.079 +8671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.551619424,0.079 +8672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.106263813,0.079 +8673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.779072135,0.079 +8674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.70983398,0.079 +8675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.340022923,0.079 +8676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.342553912,0.079 +8677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.428051635,0.079 +8678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.141744434,0.079 +8679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.826826446,0.079 +8680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.192214706,0.079 +8682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.160269522,0.079 +8683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.214176476,0.079 +8681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.574300552,0.079 +8684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.004677617,0.079 +8685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.035269526,0.079 +8687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.477054334,0.079 +8688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.35452408,0.079 +8689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.243205459,0.079 +8686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.256235997,0.079 +8690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.371231141,0.079 +8691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.255425034,0.079 +8693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.211060418,0.079 +8692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.347211768,0.079 +8696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.510470827,0.079 +8695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.556825505,0.079 +8694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.297423045,0.079 +8698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.197660334,0.079 +8697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.004137404,0.079 +8699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.425364796,0.079 +8700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.246049409,0.079 +8701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.097998782,0.079 +8702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.153918223,0.079 +8703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.044955109,0.079 +8704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.485476054,0.079 +8705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.072228875,0.079 +8707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.041775172,0.079 +8708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.069979748,0.079 +8706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.707889619,0.079 +8709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.201704563,0.079 +8710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.281751171,0.079 +8711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.53521885,0.079 +8712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.251178636,0.079 +8713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.215648452,0.079 +8714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.345308477,0.079 +8716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.105081538,0.079 +8715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.341274899,0.079 +8717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.459573819,0.079 +8718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.06936333,0.079 +8719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.224653997,0.079 +8720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.747118938,0.079 +8721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.393230322,0.079 +8722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.480436786,0.079 +8724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.804169461,0.079 +8725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.204015107,0.079 +8726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.205062016,0.079 +8723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.706176899,0.079 +8727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.268357876,0.079 +8728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.557816126,0.079 +8729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.254382671,0.079 +8730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.031570579,0.079 +8731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.481177321,0.079 +8735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.03711279,0.079 +8733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.629592851,0.079 +8732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.317522331,0.079 +8734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.291012638,0.079 +8736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.628415482,0.079 +8737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.488368987,0.079 +8738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.36056093,0.079 +8739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.011598136,0.079 +8740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.197707208,0.079 +8742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.270735748,0.079 +8741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.340820156,0.079 +8743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.161293471,0.079 +8744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.101244482,0.079 +8745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.096301162,0.079 +8747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.495234172,0.079 +8749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.609840752,0.079 +8746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.051931027,0.079 +8750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.049795449,0.079 +8748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.36921946,0.079 +8752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.044620629,0.079 +8751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.143618501,0.079 +8753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.602310003,0.079 +8754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.186131498,0.079 +8755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.168763302,0.079 +8756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.374056167,0.079 +8757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.15805056,0.079 +8759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.782074297,0.079 +8758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.42524839,0.079 +8761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.017709959,0.079 +8762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.58092325,0.079 +8763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.189533819,0.079 +8760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.310644968,0.079 +8764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.361409194,0.079 +8765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.471451424,0.079 +8766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.571016058,0.079 +8767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.295120429,0.079 +8768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.586877984,0.079 +8770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.259501837,0.079 +8769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.08068695,0.079 +8771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.348905885,0.079 +8772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.613036574,0.079 +8773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.025296816,0.079 +8775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.627573818,0.079 +8774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.457411745,0.079 +8777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.706762091,0.079 +8776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.124824233,0.079 +8778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.487527629,0.079 +8780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.512459363,0.079 +8781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.370601224,0.079 +8779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.690810546,0.079 +8782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.012040288,0.079 +8785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.183772652,0.079 +8786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.428195149,0.079 +8783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.618267482,0.079 +8787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.308414417,0.079 +8784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.675562035,0.079 +8788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.089642082,0.079 +8789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.630955491,0.079 +8790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.330428997,0.079 +8793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.814699782,0.079 +8792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.05071951,0.079 +8794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.004866398,0.079 +8791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.462065614,0.079 +8795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.56083883,0.079 +8798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.017425653,0.079 +8796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.459207683,0.079 +8797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.656676525,0.079 +8800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.266736383,0.079 +8801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.762859976,0.079 +8802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.65666506,0.079 +8803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.733757922,0.079 +8799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.50146569,0.079 +8804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.435867322,0.079 +8805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.565818774,0.079 +8808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.026251917,0.079 +8807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.309402728,0.079 +8809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.065552745,0.079 +8806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.107642969,0.079 +8811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.018896863,0.079 +8810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.645714338,0.079 +8813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.03017626,0.079 +8812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.23570189,0.079 +8815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.730333043,0.079 +8814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.456417704,0.079 +8818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.112367943,0.079 +8819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.630386971,0.079 +8816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.07883443,0.079 +8817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.404934225,0.079 +8821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.509711181,0.079 +8820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.079339433,0.079 +8823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.063908834,0.079 +8822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.74117822,0.079 +8825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.58880679,0.079 +8824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.388701941,0.079 +8826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.492124031,0.079 +8827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.015913336,0.079 +8828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.372176007,0.079 +8829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.657790542,0.079 +8830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.1033931,0.079 +8831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.627670849,0.079 +8832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.408037505,0.079 +8833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.58083576,0.079 +8834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.083017922,0.079 +8836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.150043074,0.079 +8837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.095790803,0.079 +8838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.309024058,0.079 +8840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.202553715,0.079 +8835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.088146396,0.079 +8839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.314157561,0.079 +8841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.605529413,0.079 +8842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.046254154,0.079 +8843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.760474256,0.079 +8844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.041723556,0.079 +8845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.665784851,0.079 +8848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.078973037,0.079 +8846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.791897944,0.079 +8849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.733890863,0.079 +8847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.398887836,0.079 +8850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.391785295,0.079 +8852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.768881211,0.079 +8853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.542599982,0.079 +8854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.584404892,0.079 +8855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.344575715,0.079 +8851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.687554394,0.079 +8856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.713837435,0.079 +8858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.353395799,0.079 +8857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.229878093,0.079 +8860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.086598497,0.079 +8863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.148329296,0.079 +8861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.348775437,0.079 +8859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.005940372,0.079 +8862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.40002592,0.079 +8864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.259100806,0.079 +8865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.466171897,0.079 +8867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.550456375,0.079 +8869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.5369055,0.079 +8866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.658652879,0.079 +8871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.730497585,0.079 +8868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.08599027,0.079 +8870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.850083388,0.079 +8872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.734993869,0.079 +8873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.178609812,0.079 +8875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.359569936,0.079 +8877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.446968258,0.079 +8878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.03336772,0.079 +8876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.579175961,0.079 +8879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-5.91E-05,0.079 +8874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.482725548,0.079 +8881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.18093815,0.079 +8880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.789623255,0.079 +8882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.059851262,0.079 +8884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.345434456,0.079 +8887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.718689039,0.079 +8883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.180374351,0.079 +8888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.6663261,0.079 +8889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.470574264,0.079 +8886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.09027005,0.079 +8885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.404250552,0.079 +8890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.042258989,0.079 +8891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.104851734,0.079 +8893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.616933433,0.079 +8894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.459754596,0.079 +8892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.456550028,0.079 +8895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.459218472,0.079 +8896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.374745633,0.079 +8898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.842648254,0.079 +8899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.286552433,0.079 +8900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.544111648,0.079 +8901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.056189436,0.079 +8897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.363573154,0.079 +8902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.669634027,0.079 +8903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.338355297,0.079 +8904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.587379582,0.079 +8905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.462151532,0.079 +8907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.562807129,0.079 +8908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.110730777,0.079 +8906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.108086993,0.079 +8910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.708058414,0.079 +8911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.425319083,0.079 +8909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.16983081,0.079 +8912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.222363043,0.079 +8914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.707624421,0.079 +8915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.21393442,0.079 +8913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.757030326,0.079 +8916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.078961564,0.079 +8917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.016679325,0.079 +8918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.157230745,0.079 +8920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.678708605,0.079 +8919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.627385562,0.079 +8923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.592629051,0.079 +8924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.339278108,0.079 +8922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.659237484,0.079 +8921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.19797162,0.079 +8925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.028933854,0.079 +8926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.53969701,0.079 +8927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.082430591,0.079 +8928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.58468082,0.079 +8930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.074490873,0.079 +8929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.657211645,0.079 +8931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.720351035,0.079 +8932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.545198643,0.079 +8933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.391142578,0.079 +8934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.066611159,0.079 +8935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.065032508,0.079 +8937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.704715741,0.079 +8939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.230351984,0.079 +8938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.400910216,0.079 +8940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.316138583,0.079 +8942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.614409997,0.079 +8936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.528738273,0.079 +8941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.619917588,0.079 +8943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.60477653,0.079 +8947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.151720794,0.079 +8945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.177118123,0.079 +8946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.647010297,0.079 +8944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.614371021,0.079 +8948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.656351879,0.079 +8950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.597636632,0.079 +8949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.705446528,0.079 +8951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.078905943,0.079 +8952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.010700445,0.079 +8953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.113910279,0.079 +8955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.107683833,0.079 +8954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.31221576,0.079 +8956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.038455096,0.079 +8957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.259562026,0.079 +8959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.008682172,0.079 +8958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.036207912,0.079 +8963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.789230742,0.079 +8964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.273688521,0.079 +8960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.695046544,0.079 +8962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.213318689,0.079 +8961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.232346725,0.079 +8965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.06725628,0.079 +8966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.057934279,0.079 +8967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.385102585,0.079 +8968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.821913862,0.079 +8970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.686100441,0.079 +8971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.118248052,0.079 +8972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.606882476,0.079 +8969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.72629888,0.079 +8974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.047078682,0.079 +8973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.628684891,0.079 +8976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.809327489,0.079 +8977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.461118091,0.079 +8978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.213901857,0.079 +8975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.433422559,0.079 +8980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.294134112,0.079 +8979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.276327468,0.079 +8981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.237528931,0.079 +8983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.748421741,0.079 +8985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.406554733,0.079 +8982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.295511315,0.079 +8984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.091496046,0.079 +8986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.129335836,0.079 +8988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.260683118,0.079 +8987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.567073278,0.079 +8989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.680401317,0.079 +8992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.456971025,0.079 +8991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.209815627,0.079 +8993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.099131772,0.079 +8990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.146364043,0.079 +8995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,0.019439601,0.079 +8996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.795641365,0.079 +8994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.070110435,0.079 +8997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.636591607,0.079 +8999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.538176168,0.079 +8998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.046565804,0.079 +9000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.4,10,1,-0.298831589,0.079 +9001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.728365537,0.057 +9003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.462318792,0.057 +9002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.500164616,0.057 +9004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.811076192,0.057 +9005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.047193509,0.057 +9007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.488062264,0.057 +9008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.031166683,0.057 +9009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.221903014,0.057 +9006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.524085146,0.057 +9010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.110653107,0.057 +9011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.459409918,0.057 +9013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.629359007,0.057 +9012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.616575465,0.057 +9014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.21117256,0.057 +9016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.548468348,0.057 +9015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.372721793,0.057 +9017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.588690743,0.057 +9018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.002873108,0.057 +9019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.839825637,0.057 +9020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.475933938,0.057 +9021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.439859417,0.057 +9022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.034921832,0.057 +9023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.670397825,0.057 +9024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.001628433,0.057 +9026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.494393762,0.057 +9025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.380683295,0.057 +9028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.73731794,0.057 +9027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.130552435,0.057 +9029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.411640605,0.057 +9030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.529250476,0.057 +9031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.272880346,0.057 +9032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.533549012,0.057 +9033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.050286578,0.057 +9034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.267521628,0.057 +9035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.497591348,0.057 +9036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.36632133,0.057 +9038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.25977311,0.057 +9039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.495170713,0.057 +9041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.308641561,0.057 +9040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.615375489,0.057 +9042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.474520452,0.057 +9037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.406805697,0.057 +9044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.69369663,0.057 +9043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.40702802,0.057 +9046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.124617373,0.057 +9045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.545302411,0.057 +9047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.511923055,0.057 +9048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.04971554,0.057 +9049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.05887641,0.057 +9050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.492141641,0.057 +9051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.119366835,0.057 +9052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.480816847,0.057 +9053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.578160284,0.057 +9054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.76865295,0.057 +9055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.389848392,0.057 +9057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.671338131,0.057 +9056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.734808673,0.057 +9059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.044065012,0.057 +9060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.369175598,0.057 +9061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.163590209,0.057 +9058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.177537456,0.057 +9062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.424679612,0.057 +9063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.772431448,0.057 +9064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.452863513,0.057 +9065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.025372581,0.057 +9067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.213751135,0.057 +9066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.031834669,0.057 +9068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.754936351,0.057 +9069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.185393048,0.057 +9072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.187749612,0.057 +9073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.41726737,0.057 +9071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.63833718,0.057 +9070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.448535868,0.057 +9075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.268774591,0.057 +9074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.718858408,0.057 +9076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.305490767,0.057 +9077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.132221164,0.057 +9078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.171690647,0.057 +9079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.37288497,0.057 +9080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.374480144,0.057 +9081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.606303982,0.057 +9083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.144207516,0.057 +9084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.514256973,0.057 +9082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.451217991,0.057 +9085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.476054805,0.057 +9086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.271437963,0.057 +9087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.180437985,0.057 +9088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.203976625,0.057 +9089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.350850908,0.057 +9091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.63968198,0.057 +9090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.359144612,0.057 +9092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.007845142,0.057 +9094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.507751554,0.057 +9095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.018998632,0.057 +9096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.386604566,0.057 +9097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.382233985,0.057 +9098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.160954092,0.057 +9100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.049475975,0.057 +9099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.394364908,0.057 +9093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.202459896,0.057 +9103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.433155616,0.057 +9102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.839886084,0.057 +9101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.005715088,0.057 +9104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.685727221,0.057 +9105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.318646702,0.057 +9107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.504876495,0.057 +9106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.324859705,0.057 +9108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.112772185,0.057 +9110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.54007554,0.057 +9111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.60582508,0.057 +9112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.314098713,0.057 +9109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.617961382,0.057 +9113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.158020438,0.057 +9115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.569792036,0.057 +9114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.089974224,0.057 +9116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.73256687,0.057 +9117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.179594954,0.057 +9118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.576246899,0.057 +9120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.643295127,0.057 +9119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.494014923,0.057 +9121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.455521147,0.057 +9122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.046250588,0.057 +9123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.149901959,0.057 +9124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.844478409,0.057 +9125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.634439508,0.057 +9126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.676441595,0.057 +9128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.773582184,0.057 +9127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.803021896,0.057 +9129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.510011788,0.057 +9130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.443479431,0.057 +9131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.165838269,0.057 +9133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.057316493,0.057 +9135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.789789122,0.057 +9136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.546869766,0.057 +9134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.603512941,0.057 +9132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.757242601,0.057 +9137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.54496199,0.057 +9138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.025581536,0.057 +9139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.630806611,0.057 +9140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.150113613,0.057 +9141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.607621091,0.057 +9142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.771350794,0.057 +9146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.099484975,0.057 +9143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.838323824,0.057 +9145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.062704169,0.057 +9144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.661151947,0.057 +9147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.111809399,0.057 +9149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.200229984,0.057 +9148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.097412415,0.057 +9150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.45111126,0.057 +9153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.144111731,0.057 +9152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.102918636,0.057 +9151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.464309002,0.057 +9155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.386677778,0.057 +9154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.020060673,0.057 +9156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.352747654,0.057 +9158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.464889075,0.057 +9157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.637917974,0.057 +9160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.586980078,0.057 +9161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.440739539,0.057 +9162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.27866686,0.057 +9159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.221099519,0.057 +9163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.492002438,0.057 +9164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.717499442,0.057 +9165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.175078701,0.057 +9166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.239651697,0.057 +9167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.744711158,0.057 +9168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.059937704,0.057 +9170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.014089074,0.057 +9169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.616993917,0.057 +9173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.029212779,0.057 +9174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.626771759,0.057 +9172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.634773288,0.057 +9175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.626078128,0.057 +9171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.733204435,0.057 +9176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.71414363,0.057 +9177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.485637751,0.057 +9178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.684778518,0.057 +9179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.447857733,0.057 +9180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.721607318,0.057 +9182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.704399617,0.057 +9181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.162043001,0.057 +9184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.632192732,0.057 +9183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.174577186,0.057 +9185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.113736682,0.057 +9186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.024453024,0.057 +9188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.562943696,0.057 +9187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.026309947,0.057 +9190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.826104698,0.057 +9191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.701445736,0.057 +9189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.475469049,0.057 +9193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.823753777,0.057 +9194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.494537311,0.057 +9192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.776839084,0.057 +9195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.324506826,0.057 +9197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.265970687,0.057 +9196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.006817103,0.057 +9199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.703941417,0.057 +9198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.061045962,0.057 +9200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.51852084,0.057 +9201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.153901699,0.057 +9202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.722651731,0.057 +9203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.566729653,0.057 +9204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.327640854,0.057 +9207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.002071905,0.057 +9206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.44749141,0.057 +9205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.55517222,0.057 +9209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.749837981,0.057 +9208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.722328342,0.057 +9211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.287353519,0.057 +9212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.595236943,0.057 +9213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.32646777,0.057 +9215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.615253268,0.057 +9214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.504626106,0.057 +9210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.044174648,0.057 +9217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.331534318,0.057 +9216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.741709268,0.057 +9218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.736567859,0.057 +9219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.048613405,0.057 +9220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.297233906,0.057 +9221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.558547557,0.057 +9223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.535107101,0.057 +9222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.293219036,0.057 +9224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.612051467,0.057 +9225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.05933525,0.057 +9226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.749907951,0.057 +9227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.649864392,0.057 +9228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.588685032,0.057 +9229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.506785807,0.057 +9230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.834593692,0.057 +9231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.340468692,0.057 +9232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.340844369,0.057 +9233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.362981001,0.057 +9234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.051369522,0.057 +9235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.552791903,0.057 +9236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.042213734,0.057 +9237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.272275584,0.057 +9238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.786628631,0.057 +9240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.609397313,0.057 +9239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.640459308,0.057 +9241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.036647846,0.057 +9242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.177228442,0.057 +9243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.399581177,0.057 +9244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.645044231,0.057 +9246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.01318997,0.057 +9245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.630040385,0.057 +9247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.13699557,0.057 +9249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.546312314,0.057 +9248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.444995563,0.057 +9250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.228717062,0.057 +9252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.712970075,0.057 +9254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.432195825,0.057 +9253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.498971949,0.057 +9251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.177894522,0.057 +9255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.478839521,0.057 +9256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.306789056,0.057 +9258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.129761751,0.057 +9257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.791437218,0.057 +9259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.157880533,0.057 +9260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.607797753,0.057 +9262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.561033195,0.057 +9261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.196151329,0.057 +9263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.083916488,0.057 +9264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.025966481,0.057 +9265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.26287077,0.057 +9266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.072180316,0.057 +9267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.568542153,0.057 +9268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.604566743,0.057 +9269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.288676629,0.057 +9270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.562637368,0.057 +9271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.047320122,0.057 +9272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.809734472,0.057 +9273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.007058102,0.057 +9275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.52604466,0.057 +9276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.021753094,0.057 +9277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.753946619,0.057 +9274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.225987407,0.057 +9278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.788765971,0.057 +9280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.547804604,0.057 +9281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.741304256,0.057 +9279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.678984418,0.057 +9283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.144707692,0.057 +9286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.22830172,0.057 +9282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.544954492,0.057 +9284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.394763764,0.057 +9285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.060956284,0.057 +9287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.380952173,0.057 +9289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.073947273,0.057 +9288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.689785579,0.057 +9290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.066376013,0.057 +9292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.675657052,0.057 +9291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.833805169,0.057 +9295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.600571622,0.057 +9293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.431137639,0.057 +9294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.213144991,0.057 +9297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.260945164,0.057 +9296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.420287315,0.057 +9300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.347280478,0.057 +9298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.111664277,0.057 +9299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.645355529,0.057 +9301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.055676094,0.057 +9302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.192904839,0.057 +9304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.275978633,0.057 +9305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.251763303,0.057 +9303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.59995831,0.057 +9306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.547887047,0.057 +9307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.77864803,0.057 +9308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.31430305,0.057 +9309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.042782015,0.057 +9310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.615716131,0.057 +9311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.388880604,0.057 +9312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.560362045,0.057 +9313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.512246073,0.057 +9314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.524656324,0.057 +9315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.367788561,0.057 +9316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.105937759,0.057 +9317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.564284489,0.057 +9318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.459009828,0.057 +9319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.36034637,0.057 +9320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.374126057,0.057 +9323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.204031014,0.057 +9322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.307398573,0.057 +9324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.629905801,0.057 +9325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.589226271,0.057 +9326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.565627748,0.057 +9327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.154878484,0.057 +9328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.566621671,0.057 +9321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.539040467,0.057 +9331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.348726843,0.057 +9329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.493320149,0.057 +9330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.455585981,0.057 +9332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.562208431,0.057 +9333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.251977719,0.057 +9334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.150470833,0.057 +9335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.363833905,0.057 +9336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.727202897,0.057 +9337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.652585994,0.057 +9338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.508921704,0.057 +9339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.07633488,0.057 +9340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.179154993,0.057 +9341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.271833595,0.057 +9342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.107832733,0.057 +9343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.443607693,0.057 +9344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.388972627,0.057 +9347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.292219177,0.057 +9345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.607123274,0.057 +9346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.498689943,0.057 +9348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.504309598,0.057 +9349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.576199139,0.057 +9350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.726111117,0.057 +9351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.165821596,0.057 +9352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.150765628,0.057 +9353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.113788468,0.057 +9356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.877536714,0.057 +9355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.147119956,0.057 +9357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.253477439,0.057 +9358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.775833201,0.057 +9359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.673181456,0.057 +9354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.043510254,0.057 +9361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.432986812,0.057 +9363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.69265167,0.057 +9360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.299480173,0.057 +9364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.672792662,0.057 +9362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.038803207,0.057 +9367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.742207791,0.057 +9365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.107050647,0.057 +9366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.224749176,0.057 +9368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.551490722,0.057 +9369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.021438665,0.057 +9370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.539326949,0.057 +9372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.598716183,0.057 +9374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.350137157,0.057 +9375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.271844938,0.057 +9371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.684580499,0.057 +9373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.39192944,0.057 +9376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.16853854,0.057 +9377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.061891656,0.057 +9378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.616791802,0.057 +9379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.702169178,0.057 +9381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.600879852,0.057 +9382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.725913288,0.057 +9383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.665839333,0.057 +9380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.594471344,0.057 +9384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.293535981,0.057 +9385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.784781918,0.057 +9386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.149556478,0.057 +9388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.282995786,0.057 +9390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.716002189,0.057 +9391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.046345647,0.057 +9387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.794150446,0.057 +9389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.274894359,0.057 +9392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.721829368,0.057 +9393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.099101237,0.057 +9396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.040169127,0.057 +9394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.477781447,0.057 +9398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.338620216,0.057 +9395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.771448945,0.057 +9399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.167590515,0.057 +9397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.471223583,0.057 +9400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.181718501,0.057 +9401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.173254846,0.057 +9402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.709697249,0.057 +9406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.033190078,0.057 +9405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.446894341,0.057 +9404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.241194723,0.057 +9403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.275940846,0.057 +9408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.005165954,0.057 +9409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.185809226,0.057 +9407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.230220543,0.057 +9410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.362187849,0.057 +9412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.482442901,0.057 +9411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.122658643,0.057 +9413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.286724752,0.057 +9415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.453148591,0.057 +9416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.480859814,0.057 +9414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.538913863,0.057 +9417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.187158913,0.057 +9418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.32993807,0.057 +9420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.416392079,0.057 +9419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.665638451,0.057 +9421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.352963521,0.057 +9423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.024353824,0.057 +9425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.00706427,0.057 +9424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.755488352,0.057 +9422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.022999427,0.057 +9428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.396766261,0.057 +9427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.47664982,0.057 +9426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.013868844,0.057 +9429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.308671691,0.057 +9430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.560202244,0.057 +9431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.735680683,0.057 +9433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.682635832,0.057 +9432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.280805334,0.057 +9434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.228246692,0.057 +9435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.553128433,0.057 +9436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.116704088,0.057 +9437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.579004989,0.057 +9439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.250395336,0.057 +9438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.072819012,0.057 +9440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.061036564,0.057 +9441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.656523548,0.057 +9442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.374164562,0.057 +9443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.760056574,0.057 +9444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.364644445,0.057 +9446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.002531254,0.057 +9445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.14763001,0.057 +9447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.638043509,0.057 +9448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.840327394,0.057 +9451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.537013471,0.057 +9452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.321789832,0.057 +9450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.742646424,0.057 +9453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.30837867,0.057 +9454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.760333415,0.057 +9455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.332061285,0.057 +9449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.297881684,0.057 +9456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.774665424,0.057 +9457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.442170818,0.057 +9458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.005336396,0.057 +9459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.374796035,0.057 +9461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.066899777,0.057 +9462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.760773422,0.057 +9460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.508045128,0.057 +9463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.488798315,0.057 +9464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.388382166,0.057 +9465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.247149099,0.057 +9467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.003360283,0.057 +9466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.33031839,0.057 +9468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.242619107,0.057 +9469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.04027594,0.057 +9470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.238874596,0.057 +9472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.454610294,0.057 +9471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.203759944,0.057 +9475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.425111833,0.057 +9474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.15315732,0.057 +9476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.495749805,0.057 +9477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.557559822,0.057 +9478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.44332835,0.057 +9473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.580950825,0.057 +9479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.632087768,0.057 +9480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.403233004,0.057 +9482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.426658166,0.057 +9483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.126677365,0.057 +9481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.339589977,0.057 +9484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.421690004,0.057 +9485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.632216342,0.057 +9486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.363731386,0.057 +9487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.632653746,0.057 +9488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.288399266,0.057 +9491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.331407667,0.057 +9490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.233395938,0.057 +9492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.713710734,0.057 +9493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.264245203,0.057 +9489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.540224939,0.057 +9494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.452390073,0.057 +9495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.480628802,0.057 +9497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.055135973,0.057 +9496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.184938622,0.057 +9498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.427482499,0.057 +9499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.410087458,0.057 +9500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.316901224,0.057 +9501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.19290055,0.057 +9503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.221283161,0.057 +9502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.689681376,0.057 +9505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.079402784,0.057 +9506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.666209893,0.057 +9504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.74854562,0.057 +9507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.616081611,0.057 +9508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.112103869,0.057 +9510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.112490946,0.057 +9511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.6776447,0.057 +9509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.673995384,0.057 +9512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.374499801,0.057 +9514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.04013197,0.057 +9513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.081852861,0.057 +9515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.460671563,0.057 +9516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.152052145,0.057 +9518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.178571676,0.057 +9517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.143262869,0.057 +9519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.793103023,0.057 +9520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.765164643,0.057 +9521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.192306874,0.057 +9522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.674000549,0.057 +9523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.040715057,0.057 +9524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.043176906,0.057 +9525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.405803502,0.057 +9526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.769817827,0.057 +9527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.131663443,0.057 +9528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.65049819,0.057 +9529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.622987533,0.057 +9530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.908674446,0.057 +9531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.067970331,0.057 +9532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.770847858,0.057 +9533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.712826353,0.057 +9534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.684778166,0.057 +9536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.272153317,0.057 +9537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.011397286,0.057 +9539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.664619181,0.057 +9538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.619365725,0.057 +9535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.039625152,0.057 +9540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.824395072,0.057 +9541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.103540521,0.057 +9542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.743624911,0.057 +9543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.604063727,0.057 +9546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.241317634,0.057 +9544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.564915538,0.057 +9545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.136568259,0.057 +9548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.556946311,0.057 +9547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.156812678,0.057 +9549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.047018125,0.057 +9551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.158131054,0.057 +9552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.604921575,0.057 +9550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.447129793,0.057 +9554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.093445216,0.057 +9553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.816674664,0.057 +9555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.461806829,0.057 +9557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.12913577,0.057 +9558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.230624839,0.057 +9556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.722155971,0.057 +9559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.347014431,0.057 +9560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.072779469,0.057 +9562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.543212677,0.057 +9561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.178947051,0.057 +9564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.318277032,0.057 +9563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.060519349,0.057 +9565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.756540189,0.057 +9567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.031619132,0.057 +9568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.091463342,0.057 +9566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.160818398,0.057 +9570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.005560801,0.057 +9569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.590553024,0.057 +9571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-8.86E-04,0.057 +9572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.235506584,0.057 +9573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.524942901,0.057 +9574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.106657116,0.057 +9575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.210817438,0.057 +9578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.398644926,0.057 +9576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.563810585,0.057 +9577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.058020902,0.057 +9579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.272097025,0.057 +9580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.7240961,0.057 +9581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.306289882,0.057 +9582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.062423717,0.057 +9583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.154114962,0.057 +9586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.64076686,0.057 +9584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.018318344,0.057 +9587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.596540722,0.057 +9588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.458368531,0.057 +9585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.060487417,0.057 +9589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.326022169,0.057 +9590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.003367591,0.057 +9591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.545263362,0.057 +9593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.815904222,0.057 +9592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.170112001,0.057 +9595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.256039135,0.057 +9594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.538650563,0.057 +9597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.533599591,0.057 +9598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.508592096,0.057 +9596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.333151865,0.057 +9599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.482932598,0.057 +9600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.169512473,0.057 +9601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.3557658,0.057 +9602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.122866659,0.057 +9603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.69492407,0.057 +9604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.745033835,0.057 +9605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.524586451,0.057 +9607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.094232777,0.057 +9608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.456660784,0.057 +9609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.316390302,0.057 +9606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.110065356,0.057 +9610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.158550681,0.057 +9611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.623366454,0.057 +9612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.491782229,0.057 +9613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.377438819,0.057 +9615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.396230192,0.057 +9614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.607807184,0.057 +9616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.834152679,0.057 +9618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.206121222,0.057 +9617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.419135796,0.057 +9619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.02536785,0.057 +9620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.180425777,0.057 +9621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.346332667,0.057 +9623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.401311045,0.057 +9625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.72276988,0.057 +9622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.200336502,0.057 +9624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.676821128,0.057 +9627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.667453981,0.057 +9628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.134235647,0.057 +9626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.851640979,0.057 +9629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.114825194,0.057 +9630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.208261891,0.057 +9632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.605856599,0.057 +9631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.152782062,0.057 +9633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.045101578,0.057 +9634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.548623534,0.057 +9635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.19687691,0.057 +9636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.56370754,0.057 +9637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.070516732,0.057 +9638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.160524304,0.057 +9642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.253284144,0.057 +9640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.646838724,0.057 +9643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.11778959,0.057 +9641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.598320742,0.057 +9639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.550817201,0.057 +9645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.109651205,0.057 +9646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.748959493,0.057 +9644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.519183125,0.057 +9647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.244998512,0.057 +9649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.643215469,0.057 +9650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.558641253,0.057 +9648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.015888712,0.057 +9651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.791808105,0.057 +9652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.007523175,0.057 +9654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.528000137,0.057 +9655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.737346865,0.057 +9656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.222956052,0.057 +9657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.208515829,0.057 +9653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.538626916,0.057 +9658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.616463185,0.057 +9659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.131154667,0.057 +9660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.067085305,0.057 +9661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.409246214,0.057 +9662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.34694818,0.057 +9663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.540952519,0.057 +9665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.328618944,0.057 +9664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.219737687,0.057 +9666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.913980028,0.057 +9668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.219750085,0.057 +9667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.304652269,0.057 +9671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.129875851,0.057 +9670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.25107107,0.057 +9669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.233424157,0.057 +9673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.225507431,0.057 +9672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.731274273,0.057 +9674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.178883883,0.057 +9676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.72338932,0.057 +9675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.342344503,0.057 +9678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.130964332,0.057 +9677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.377863354,0.057 +9679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.013511632,0.057 +9680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.155055953,0.057 +9681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.118695166,0.057 +9682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.281276937,0.057 +9684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.343921396,0.057 +9683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.457610537,0.057 +9685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.198512477,0.057 +9686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.027640564,0.057 +9688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.548140903,0.057 +9689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.037321404,0.057 +9690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.625747001,0.057 +9687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.415436936,0.057 +9691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.322518458,0.057 +9692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.353881754,0.057 +9694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.546323744,0.057 +9693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.097982679,0.057 +9696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.483505401,0.057 +9697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.476145832,0.057 +9695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.177364066,0.057 +9699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.158695929,0.057 +9700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.406906567,0.057 +9698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.697328382,0.057 +9701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.560205932,0.057 +9702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.787665503,0.057 +9703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.219438783,0.057 +9704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.05108366,0.057 +9706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.688561563,0.057 +9705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.172227447,0.057 +9707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.067176488,0.057 +9708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.407063579,0.057 +9709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.009452273,0.057 +9710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.66865036,0.057 +9712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.013293803,0.057 +9711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.594215661,0.057 +9714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.421198564,0.057 +9713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.524056926,0.057 +9715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.552810845,0.057 +9716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.121843261,0.057 +9717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.185415122,0.057 +9718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.393110153,0.057 +9719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.124348342,0.057 +9720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.136190916,0.057 +9722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.568464112,0.057 +9723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.048583619,0.057 +9726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.747932893,0.057 +9725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.25155116,0.057 +9721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.672682689,0.057 +9724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.648861765,0.057 +9727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.234867093,0.057 +9728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.294840049,0.057 +9729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.184804846,0.057 +9733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.816106403,0.057 +9730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.224295428,0.057 +9735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.634020357,0.057 +9732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.52758878,0.057 +9736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.097509272,0.057 +9731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.578200605,0.057 +9734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.049437563,0.057 +9737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.502367584,0.057 +9739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.359663328,0.057 +9738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.205875394,0.057 +9741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.445191756,0.057 +9740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.193596582,0.057 +9743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.656360472,0.057 +9742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.193726461,0.057 +9744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.163499386,0.057 +9745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.146350691,0.057 +9746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.040247272,0.057 +9747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.144622131,0.057 +9749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.545270479,0.057 +9750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.684659295,0.057 +9748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.830197495,0.057 +9751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.391678776,0.057 +9752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.359778887,0.057 +9753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.482165895,0.057 +9754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.452298211,0.057 +9756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.586770927,0.057 +9757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.193340379,0.057 +9755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.444720647,0.057 +9758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.309026521,0.057 +9759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.382657545,0.057 +9761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.368775148,0.057 +9762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.240782833,0.057 +9760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.131152499,0.057 +9763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.387350267,0.057 +9766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.049985776,0.057 +9765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.389026223,0.057 +9764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.45619336,0.057 +9767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.584049807,0.057 +9769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.922390685,0.057 +9771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.379361089,0.057 +9768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.169136072,0.057 +9770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.008502569,0.057 +9773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.77858129,0.057 +9774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.121661957,0.057 +9772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.247771659,0.057 +9775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.328011488,0.057 +9776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.032948962,0.057 +9778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.289350443,0.057 +9777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.077800544,0.057 +9781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.111689329,0.057 +9782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.084279234,0.057 +9779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.645588568,0.057 +9783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.202079078,0.057 +9780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.295256371,0.057 +9784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.794992131,0.057 +9786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.573644097,0.057 +9785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.413613095,0.057 +9788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.204182911,0.057 +9787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.488970655,0.057 +9790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.740270555,0.057 +9791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.69676307,0.057 +9789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.33396356,0.057 +9792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.691115314,0.057 +9794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.131562807,0.057 +9793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.569136877,0.057 +9796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.131465836,0.057 +9797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.591611687,0.057 +9798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.512879399,0.057 +9795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.090212218,0.057 +9800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.311968277,0.057 +9799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.15218508,0.057 +9801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.051011228,0.057 +9802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.049575954,0.057 +9803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.256581362,0.057 +9805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.310378981,0.057 +9807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.52043849,0.057 +9806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.661493757,0.057 +9804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.163702242,0.057 +9809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.341921698,0.057 +9808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.617951412,0.057 +9810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.524149713,0.057 +9811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.040553816,0.057 +9812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.037109004,0.057 +9813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.561178684,0.057 +9815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.265411023,0.057 +9814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.238504349,0.057 +9816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.119876955,0.057 +9818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.06158884,0.057 +9817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.422712991,0.057 +9819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.223690823,0.057 +9820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.32278593,0.057 +9821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.666870371,0.057 +9822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.560670066,0.057 +9824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.230683899,0.057 +9823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.462465911,0.057 +9825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.126494864,0.057 +9826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.175872896,0.057 +9828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.062705588,0.057 +9829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.345350159,0.057 +9827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.713232119,0.057 +9830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.026806184,0.057 +9831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.211264132,0.057 +9832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.009491492,0.057 +9833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.421109479,0.057 +9834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.693491432,0.057 +9835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.081222788,0.057 +9836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.473302011,0.057 +9837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.742351451,0.057 +9838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.718224119,0.057 +9839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.605889707,0.057 +9840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.184379741,0.057 +9841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.34169799,0.057 +9843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.397078456,0.057 +9842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.190359249,0.057 +9844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.081239335,0.057 +9846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.458725162,0.057 +9847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.210439636,0.057 +9848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.026094171,0.057 +9845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.486187039,0.057 +9849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.680395813,0.057 +9850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.312979013,0.057 +9852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.851229296,0.057 +9854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.572535403,0.057 +9851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.162030541,0.057 +9853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.749165346,0.057 +9855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.648514115,0.057 +9856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.773467329,0.057 +9858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.756746325,0.057 +9857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.2364996,0.057 +9859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.025712529,0.057 +9860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.153782985,0.057 +9862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.571630556,0.057 +9863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.091790925,0.057 +9864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.709000001,0.057 +9861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.452777108,0.057 +9866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.062322244,0.057 +9865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.729260247,0.057 +9867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.031518757,0.057 +9868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.547553138,0.057 +9869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.283161399,0.057 +9871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.60163348,0.057 +9870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.107490905,0.057 +9872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.085742921,0.057 +9874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.636100508,0.057 +9875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.02826234,0.057 +9876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.391355672,0.057 +9873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.556498929,0.057 +9877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.033356589,0.057 +9879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.092394438,0.057 +9878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.005207139,0.057 +9880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.633431182,0.057 +9881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.237184286,0.057 +9884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.017316075,0.057 +9882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.068132383,0.057 +9885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.773450339,0.057 +9883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.493871811,0.057 +9887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.51536926,0.057 +9886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.116400301,0.057 +9888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.342073674,0.057 +9889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.539750069,0.057 +9890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.351933072,0.057 +9891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.161922807,0.057 +9892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.454741525,0.057 +9893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.035616781,0.057 +9894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.005304605,0.057 +9896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.427654493,0.057 +9897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.076872787,0.057 +9895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.642799168,0.057 +9899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.325690939,0.057 +9898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.575902871,0.057 +9900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.788094285,0.057 +9901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.113788617,0.057 +9902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.806584126,0.057 +9903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.153955197,0.057 +9904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.293927569,0.057 +9906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.343285724,0.057 +9905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.092061677,0.057 +9907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.796326283,0.057 +9908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.558871247,0.057 +9909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.058358794,0.057 +9910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.380420265,0.057 +9913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.185637188,0.057 +9915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.056110888,0.057 +9916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.463683841,0.057 +9911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.781868357,0.057 +9912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.175134608,0.057 +9914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.558342407,0.057 +9917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.169498303,0.057 +9918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.376398002,0.057 +9919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.029332996,0.057 +9922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.143571229,0.057 +9921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.349793858,0.057 +9920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.600104143,0.057 +9923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.585692258,0.057 +9924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.417627753,0.057 +9925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.784990646,0.057 +9926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.490313275,0.057 +9927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.595353262,0.057 +9930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.641510998,0.057 +9931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.005063368,0.057 +9929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.616252913,0.057 +9928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.161852146,0.057 +9933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.124776664,0.057 +9932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.630941796,0.057 +9934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.151960174,0.057 +9935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.750065855,0.057 +9939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.556984974,0.057 +9938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.69656377,0.057 +9936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.629272868,0.057 +9937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.491898397,0.057 +9940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.533006344,0.057 +9942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.306796017,0.057 +9941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.035311589,0.057 +9944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.570466828,0.057 +9943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.115452774,0.057 +9945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.025303267,0.057 +9947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.053315776,0.057 +9946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.769065353,0.057 +9948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.682154465,0.057 +9949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.229791441,0.057 +9950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.776702745,0.057 +9952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.265022969,0.057 +9953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.139354795,0.057 +9951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.638426147,0.057 +9954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.704116369,0.057 +9955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.314886495,0.057 +9956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.243765743,0.057 +9957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.682274569,0.057 +9959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.814555552,0.057 +9962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.466726904,0.057 +9964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.761680401,0.057 +9960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.492956985,0.057 +9961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.723528111,0.057 +9958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.508372746,0.057 +9965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.009692398,0.057 +9963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.56454537,0.057 +9967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.426299445,0.057 +9966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.567279147,0.057 +9969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.213168459,0.057 +9968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.133881769,0.057 +9970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.150870999,0.057 +9973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.38913247,0.057 +9974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.748437743,0.057 +9971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.681784707,0.057 +9972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.711882407,0.057 +9975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.020740997,0.057 +9976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.634718012,0.057 +9977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.009676771,0.057 +9978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.281212672,0.057 +9979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.545637679,0.057 +9980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.519235259,0.057 +9982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.429335426,0.057 +9984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.661530466,0.057 +9986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,0.03222263,0.057 +9985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.806942186,0.057 +9981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.547704682,0.057 +9983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.151448277,0.057 +9987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.39878001,0.057 +9988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.450690825,0.057 +9990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.216734274,0.057 +9991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.495071733,0.057 +9992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.733568978,0.057 +9993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.469799535,0.057 +9989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.513958484,0.057 +9994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.123965916,0.057 +9995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.524865953,0.057 +9996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.099838485,0.057 +9997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.309864366,0.057 +9998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.192884159,0.057 +9999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.625430832,0.057 +10000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.45,10,1,-0.018817946,0.057 +10001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.683645328,0.051 +10004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.258012152,0.051 +10003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.062612241,0.051 +10002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.662304912,0.051 +10005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.322772899,0.051 +10006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.676044411,0.051 +10007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.667503927,0.051 +10008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.838964049,0.051 +10009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.692102322,0.051 +10011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.495237538,0.051 +10012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.51672043,0.051 +10010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.248743169,0.051 +10014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.417047096,0.051 +10013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.66908375,0.051 +10015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.199058502,0.051 +10016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.844913797,0.051 +10017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.168963639,0.051 +10019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.617101585,0.051 +10020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.056858664,0.051 +10021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.537873234,0.051 +10022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.085010508,0.051 +10024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.848721362,0.051 +10018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.063619365,0.051 +10023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.162365295,0.051 +10025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.581454839,0.051 +10026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.493199557,0.051 +10028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.292363961,0.051 +10029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.637909102,0.051 +10027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.84013055,0.051 +10030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.717811426,0.051 +10031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.509580702,0.051 +10032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.067719694,0.051 +10033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.571293244,0.051 +10034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.127179037,0.051 +10035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.66058851,0.051 +10037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.756005445,0.051 +10036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.19758388,0.051 +10038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.826204122,0.051 +10039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.236524368,0.051 +10041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.492222181,0.051 +10040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.095838299,0.051 +10043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.712669419,0.051 +10044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.356695787,0.051 +10042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.563051078,0.051 +10045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.614322811,0.051 +10046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.024157221,0.051 +10047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.011092159,0.051 +10048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.42732256,0.051 +10049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.208238825,0.051 +10050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.22652837,0.051 +10051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.483192837,0.051 +10052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.338896714,0.051 +10053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.566800303,0.051 +10055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.143584403,0.051 +10056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.07695914,0.051 +10054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.532044089,0.051 +10058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.07613752,0.051 +10057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.103843907,0.051 +10060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.418901759,0.051 +10059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.204417096,0.051 +10061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.131414892,0.051 +10062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.489659241,0.051 +10063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.01265599,0.051 +10064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.055075211,0.051 +10065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.03220825,0.051 +10068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.065503582,0.051 +10066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.255930346,0.051 +10067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.291010014,0.051 +10071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.395599255,0.051 +10069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.674017415,0.051 +10072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.06416972,0.051 +10070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.283581394,0.051 +10073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.791685437,0.051 +10076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.442750659,0.051 +10074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.450999145,0.051 +10075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.359378301,0.051 +10078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.57598602,0.051 +10077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.78166086,0.051 +10079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.777587051,0.051 +10080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.092067134,0.051 +10081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.26631957,0.051 +10083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.783600152,0.051 +10082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.033955868,0.051 +10085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.282073313,0.051 +10084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.0874705,0.051 +10086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.335166981,0.051 +10087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.749361403,0.051 +10088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.375463671,0.051 +10089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.196815215,0.051 +10090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.058125804,0.051 +10091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.358263448,0.051 +10092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.251970677,0.051 +10094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.335562659,0.051 +10093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.16207829,0.051 +10095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.701747148,0.051 +10096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.048957129,0.051 +10098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.661969243,0.051 +10099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.584756613,0.051 +10097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.103995532,0.051 +10100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.792431355,0.051 +10103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.388360577,0.051 +10101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.109116201,0.051 +10104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.690764483,0.051 +10102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.248994802,0.051 +10105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.108531081,0.051 +10107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.090671356,0.051 +10106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.834628067,0.051 +10110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.0736513,0.051 +10109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.402384022,0.051 +10108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.542653867,0.051 +10113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.406368614,0.051 +10114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.174805267,0.051 +10112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.414468951,0.051 +10111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.396912631,0.051 +10115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.474810624,0.051 +10117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.1134704,0.051 +10118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.768155207,0.051 +10116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.122059691,0.051 +10119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.561185739,0.051 +10120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.856831951,0.051 +10122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.016967929,0.051 +10121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.645896881,0.051 +10123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.521862954,0.051 +10124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.569965861,0.051 +10125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.307255549,0.051 +10126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.62230461,0.051 +10128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.345620176,0.051 +10127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.570187155,0.051 +10130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.09863805,0.051 +10129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.66913866,0.051 +10132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.773829301,0.051 +10131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.374786087,0.051 +10134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.510169032,0.051 +10133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.469515006,0.051 +10135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.149499334,0.051 +10136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.310796057,0.051 +10138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.017700374,0.051 +10141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.336135224,0.051 +10137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.682142469,0.051 +10142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.688585022,0.051 +10140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.60830217,0.051 +10143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.33816293,0.051 +10139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.100411146,0.051 +10144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.647842506,0.051 +10145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.069819009,0.051 +10146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.178016824,0.051 +10149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.336255256,0.051 +10148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.4440245,0.051 +10147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.088920721,0.051 +10150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.303658072,0.051 +10151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.280601671,0.051 +10152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.643131042,0.051 +10153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.731987203,0.051 +10154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.611750497,0.051 +10155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.104470965,0.051 +10156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.119109402,0.051 +10158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.501025826,0.051 +10157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.522864374,0.051 +10160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.135306518,0.051 +10159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.004960352,0.051 +10161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.253847556,0.051 +10162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.779306986,0.051 +10163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.159900868,0.051 +10164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.15785698,0.051 +10165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.078819181,0.051 +10167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.609787739,0.051 +10166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.132471502,0.051 +10168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.185249581,0.051 +10169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.544190373,0.051 +10170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.730058742,0.051 +10171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.222263278,0.051 +10173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.38901856,0.051 +10174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.712284878,0.051 +10172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.675897697,0.051 +10175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.232824949,0.051 +10176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.595275716,0.051 +10177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.20223277,0.051 +10178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.510886853,0.051 +10180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.528447416,0.051 +10179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.658668101,0.051 +10181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.589109294,0.051 +10182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.490769122,0.051 +10184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.120825616,0.051 +10183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.34413493,0.051 +10185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.227767927,0.051 +10186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.646906936,0.051 +10187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.555853455,0.051 +10188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.543276598,0.051 +10189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.413566613,0.051 +10190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.53565003,0.051 +10191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.373464123,0.051 +10193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.178512853,0.051 +10192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.579905596,0.051 +10194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.494813409,0.051 +10195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.133893916,0.051 +10196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.005075035,0.051 +10197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.534552195,0.051 +10198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.517118263,0.051 +10200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.851634614,0.051 +10199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.797871578,0.051 +10202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.641269494,0.051 +10201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.498460038,0.051 +10203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.704934272,0.051 +10206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.587838809,0.051 +10205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.292552467,0.051 +10204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.699312696,0.051 +10208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.545013845,0.051 +10207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.313047823,0.051 +10209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.438379518,0.051 +10211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.354739072,0.051 +10210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.092032985,0.051 +10213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.340078492,0.051 +10214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.347693258,0.051 +10212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.017577587,0.051 +10216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.322698046,0.051 +10217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.008811331,0.051 +10218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.292024547,0.051 +10215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.25159475,0.051 +10220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.63082925,0.051 +10221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.163092359,0.051 +10222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.787840157,0.051 +10219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.757418485,0.051 +10223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.377010032,0.051 +10224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.162339624,0.051 +10226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.628022577,0.051 +10227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.507392814,0.051 +10225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.638870409,0.051 +10229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.101954437,0.051 +10228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.052837748,0.051 +10230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.539124067,0.051 +10231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.769029629,0.051 +10233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.310572403,0.051 +10232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.552784124,0.051 +10234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.470831583,0.051 +10236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.573282668,0.051 +10237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.24187727,0.051 +10238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.212174264,0.051 +10239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.015985603,0.051 +10235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.245917382,0.051 +10241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.373947903,0.051 +10242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.408900713,0.051 +10244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.750942565,0.051 +10240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.653827255,0.051 +10243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.758309815,0.051 +10245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.151480988,0.051 +10247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.672829385,0.051 +10246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.302105389,0.051 +10249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.553896305,0.051 +10248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.508846879,0.051 +10250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.453128939,0.051 +10251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.587463838,0.051 +10252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.816235027,0.051 +10255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.459892728,0.051 +10253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.060109519,0.051 +10254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.514431923,0.051 +10256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.561528107,0.051 +10257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.634041789,0.051 +10258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.670314573,0.051 +10259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.030532537,0.051 +10260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.377522984,0.051 +10263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.072128977,0.051 +10261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.359967364,0.051 +10264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.165325086,0.051 +10265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.106908684,0.051 +10266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.023938794,0.051 +10262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.537712957,0.051 +10267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.426455182,0.051 +10268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.287500459,0.051 +10271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.303488234,0.051 +10269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.170232575,0.051 +10273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.062876553,0.051 +10270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.099315077,0.051 +10272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.203066619,0.051 +10275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.557105224,0.051 +10274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.146087778,0.051 +10276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.077252496,0.051 +10278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.007338642,0.051 +10280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.641455945,0.051 +10277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.127578644,0.051 +10279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.024250924,0.051 +10281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.842642518,0.051 +10284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.097411982,0.051 +10282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.105270086,0.051 +10283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.015465132,0.051 +10285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.738123949,0.051 +10287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.715547127,0.051 +10286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.023788527,0.051 +10288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.147208717,0.051 +10291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.062522358,0.051 +10289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.270341798,0.051 +10290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.809508629,0.051 +10292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.221470437,0.051 +10293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.09696179,0.051 +10294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.704244592,0.051 +10295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.258809405,0.051 +10296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.344804026,0.051 +10297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.155882634,0.051 +10299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.570560338,0.051 +10298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.50380173,0.051 +10300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.124861434,0.051 +10301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.497724165,0.051 +10303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.259304343,0.051 +10304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.347826791,0.051 +10302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.087118184,0.051 +10306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.063367361,0.051 +10305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.535145258,0.051 +10307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.639209746,0.051 +10311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.097918443,0.051 +10309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.426996867,0.051 +10310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.044815199,0.051 +10312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.006052039,0.051 +10308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.556825576,0.051 +10314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.684556167,0.051 +10313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.198762828,0.051 +10315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.525600671,0.051 +10318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.54435624,0.051 +10316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.568695312,0.051 +10319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.185706329,0.051 +10317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.21800461,0.051 +10320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.640914034,0.051 +10321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.14807488,0.051 +10322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.368463298,0.051 +10323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.066203814,0.051 +10325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.233280338,0.051 +10326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.462348964,0.051 +10328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.637107782,0.051 +10327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.187250313,0.051 +10330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.734909984,0.051 +10329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.289612489,0.051 +10324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.004296416,0.051 +10331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.013931274,0.051 +10332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.250635974,0.051 +10333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.102738178,0.051 +10334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.242031856,0.051 +10337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.123212668,0.051 +10336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.572260901,0.051 +10338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.322050042,0.051 +10335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.126534238,0.051 +10339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.651407624,0.051 +10340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.354524801,0.051 +10341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.473210909,0.051 +10342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.151256122,0.051 +10343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.022351069,0.051 +10344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.349905296,0.051 +10345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.198595896,0.051 +10347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.029734488,0.051 +10346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.68879292,0.051 +10348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.063656561,0.051 +10349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.733981082,0.051 +10350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.729859653,0.051 +10351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.046868587,0.051 +10353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.514823076,0.051 +10352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.713054072,0.051 +10354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.02102222,0.051 +10356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.709983209,0.051 +10357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.028263099,0.051 +10358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.68544477,0.051 +10355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.134384799,0.051 +10359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.566997508,0.051 +10360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.038203547,0.051 +10361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.3982828,0.051 +10362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.338623492,0.051 +10363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.605527812,0.051 +10364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.277626642,0.051 +10365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.293520019,0.051 +10367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.074490356,0.051 +10369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.767290399,0.051 +10368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.743874149,0.051 +10370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.095112418,0.051 +10366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.02485716,0.051 +10372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.040257824,0.051 +10371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.0191379,0.051 +10374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.1741956,0.051 +10373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.677210399,0.051 +10376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.088491874,0.051 +10375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.720798476,0.051 +10377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.18514465,0.051 +10378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.520792258,0.051 +10380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.197815206,0.051 +10379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.249944517,0.051 +10381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.613967998,0.051 +10382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.042826542,0.051 +10383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.482723984,0.051 +10384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.380826801,0.051 +10385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.472613605,0.051 +10388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.454624782,0.051 +10387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.011730301,0.051 +10389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.277488337,0.051 +10390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.556667853,0.051 +10391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.705533408,0.051 +10386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.593779614,0.051 +10392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.218141008,0.051 +10393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.524942207,0.051 +10394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.651889925,0.051 +10395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.346079033,0.051 +10396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.202917119,0.051 +10397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.312010711,0.051 +10398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.494714785,0.051 +10399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.078474652,0.051 +10400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.104532534,0.051 +10401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.376165568,0.051 +10403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.006507242,0.051 +10404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.02194354,0.051 +10402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.844729534,0.051 +10406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.04923733,0.051 +10405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.198346266,0.051 +10407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.301387399,0.051 +10408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.324486456,0.051 +10409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.736827211,0.051 +10410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.125139302,0.051 +10412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.766099956,0.051 +10411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.302386344,0.051 +10413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.224683928,0.051 +10414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.125127565,0.051 +10415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.105175353,0.051 +10416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.811627566,0.051 +10417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.808632995,0.051 +10418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.783375757,0.051 +10419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.128673135,0.051 +10420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.338121277,0.051 +10421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.485356019,0.051 +10422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.065634638,0.051 +10425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.676964258,0.051 +10424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.018935634,0.051 +10423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.293408917,0.051 +10426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.006962717,0.051 +10427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.668744629,0.051 +10428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.412802237,0.051 +10429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.496730462,0.051 +10430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.263245718,0.051 +10431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.449002587,0.051 +10432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.025042135,0.051 +10434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.555325604,0.051 +10436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.427564548,0.051 +10435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.799822138,0.051 +10433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.403989502,0.051 +10437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.734211045,0.051 +10438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.703424778,0.051 +10439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.081998595,0.051 +10440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.559569676,0.051 +10441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.370388412,0.051 +10442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.016353847,0.051 +10443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.862591451,0.051 +10445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.276575885,0.051 +10444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.668519325,0.051 +10446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.590770418,0.051 +10447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.406925827,0.051 +10448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.743566338,0.051 +10450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.155296083,0.051 +10451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.668277122,0.051 +10449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.049853065,0.051 +10452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.269126918,0.051 +10454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.101155386,0.051 +10453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.42042515,0.051 +10456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.738738367,0.051 +10455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.790878048,0.051 +10457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.732320585,0.051 +10459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.236484139,0.051 +10458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.341719376,0.051 +10460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.189866521,0.051 +10461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.386796877,0.051 +10462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.3906341,0.051 +10463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.12624195,0.051 +10465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.212091081,0.051 +10464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.551416968,0.051 +10467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.193731462,0.051 +10466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.181350224,0.051 +10468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.335727671,0.051 +10469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.25839658,0.051 +10471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.241801817,0.051 +10470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.472231293,0.051 +10474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.329603667,0.051 +10473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.788388428,0.051 +10472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.56609315,0.051 +10475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.325437647,0.051 +10476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.505594029,0.051 +10477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.364967784,0.051 +10478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.42526807,0.051 +10482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.499701235,0.051 +10480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.213356574,0.051 +10481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.543222833,0.051 +10483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.726358387,0.051 +10484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.227393854,0.051 +10479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.028754722,0.051 +10485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.405169857,0.051 +10486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.532999162,0.051 +10488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.404394523,0.051 +10489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.016179419,0.051 +10490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.117049668,0.051 +10487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.094581795,0.051 +10491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.010171859,0.051 +10493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.522995066,0.051 +10492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.797140947,0.051 +10494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.29371301,0.051 +10496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.194905318,0.051 +10495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.016213646,0.051 +10498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.089296487,0.051 +10497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.322306544,0.051 +10499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.168947468,0.051 +10500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.378358573,0.051 +10502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.485274999,0.051 +10503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.289648404,0.051 +10504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.405276511,0.051 +10506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.552769919,0.051 +10505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.386448225,0.051 +10501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.759279744,0.051 +10507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.631059212,0.051 +10508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.300312745,0.051 +10509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.853351424,0.051 +10510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.364163851,0.051 +10511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.328757796,0.051 +10512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.404230296,0.051 +10513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.279071955,0.051 +10514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.337841272,0.051 +10515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.078220038,0.051 +10516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.087920167,0.051 +10517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.693080471,0.051 +10518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.584731406,0.051 +10519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.133756167,0.051 +10520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.005366879,0.051 +10521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.702186647,0.051 +10523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.061498462,0.051 +10524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.296651527,0.051 +10522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.316452839,0.051 +10525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.37834038,0.051 +10527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.650971838,0.051 +10528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.339057386,0.051 +10526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.40498808,0.051 +10529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.714591999,0.051 +10530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.224205484,0.051 +10533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.424925307,0.051 +10531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.511325316,0.051 +10532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.221364672,0.051 +10534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.086277308,0.051 +10535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.645935967,0.051 +10537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.673354061,0.051 +10536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.439138168,0.051 +10538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.386742887,0.051 +10539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.370539819,0.051 +10540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.493241572,0.051 +10543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.467048039,0.051 +10542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.001016316,0.051 +10541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.212888015,0.051 +10544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.759422484,0.051 +10545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.577280953,0.051 +10546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.175768902,0.051 +10547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.732076745,0.051 +10548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.764942864,0.051 +10549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.022693042,0.051 +10550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.333505425,0.051 +10553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.398762842,0.051 +10551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.536310576,0.051 +10552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.723763632,0.051 +10554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.074965777,0.051 +10556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.743780044,0.051 +10555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.044472959,0.051 +10558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.333685026,0.051 +10557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.199740502,0.051 +10561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.386855144,0.051 +10560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.3133995,0.051 +10559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.239592613,0.051 +10562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.310384682,0.051 +10564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.025007475,0.051 +10566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.765857449,0.051 +10563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.514229505,0.051 +10565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.00905076,0.051 +10567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.788850794,0.051 +10568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.660220702,0.051 +10569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.262945012,0.051 +10570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.54552899,0.051 +10571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.329624739,0.051 +10572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.573313415,0.051 +10573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.469629159,0.051 +10574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.245991183,0.051 +10576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.149714154,0.051 +10575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.436190848,0.051 +10578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.16739453,0.051 +10577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.045138807,0.051 +10579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.471027939,0.051 +10580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.243426775,0.051 +10581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.332138112,0.051 +10582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.238353637,0.051 +10584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.300601661,0.051 +10583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.789289281,0.051 +10585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.574569615,0.051 +10587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.433275708,0.051 +10586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.38762649,0.051 +10589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.529946653,0.051 +10588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.287162799,0.051 +10590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.01820271,0.051 +10592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.834384085,0.051 +10591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.407347076,0.051 +10593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.525624294,0.051 +10594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.376016695,0.051 +10597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.765204481,0.051 +10596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.234630454,0.051 +10595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.713892643,0.051 +10598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.048067156,0.051 +10599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.645924221,0.051 +10600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.026969785,0.051 +10602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.019308629,0.051 +10601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.032813891,0.051 +10603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.573135983,0.051 +10604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.598707415,0.051 +10606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.746967363,0.051 +10607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.637612295,0.051 +10605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.038785617,0.051 +10608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.802128534,0.051 +10609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.737565671,0.051 +10610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.386362107,0.051 +10611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.693701299,0.051 +10612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.669421899,0.051 +10613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.55626284,0.051 +10614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.302790595,0.051 +10616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.109941561,0.051 +10615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.171424498,0.051 +10617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.763928267,0.051 +10618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.455862673,0.051 +10619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.645189075,0.051 +10620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.356168125,0.051 +10621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.275359198,0.051 +10622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.440992003,0.051 +10623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.002755742,0.051 +10624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.02170017,0.051 +10625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.144546692,0.051 +10626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.789570061,0.051 +10627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.432534638,0.051 +10628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.49884068,0.051 +10629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.228037314,0.051 +10630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.029825658,0.051 +10631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.021775453,0.051 +10633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.730616768,0.051 +10632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.49699245,0.051 +10635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.014803593,0.051 +10634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.080606962,0.051 +10636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.052159874,0.051 +10637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.116187168,0.051 +10638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.482762357,0.051 +10639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.599992499,0.051 +10640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.188280483,0.051 +10642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.769237609,0.051 +10643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.054060896,0.051 +10641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.845690075,0.051 +10644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.503417419,0.051 +10645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.01143011,0.051 +10647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.022925092,0.051 +10648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.643894386,0.051 +10646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.268500317,0.051 +10649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.187531331,0.051 +10652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.14241455,0.051 +10651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.494580102,0.051 +10650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.09418737,0.051 +10653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.591770837,0.051 +10655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.263614422,0.051 +10654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.031423373,0.051 +10657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.692455639,0.051 +10656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.41984766,0.051 +10658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.559038847,0.051 +10660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.739881624,0.051 +10661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.605819464,0.051 +10663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.121317695,0.051 +10662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.443873032,0.051 +10659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.733884759,0.051 +10664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.044240902,0.051 +10665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.667062627,0.051 +10666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.027885123,0.051 +10667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.787465982,0.051 +10670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.294612051,0.051 +10668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.006690811,0.051 +10669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.685613581,0.051 +10671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.593130632,0.051 +10672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.093266009,0.051 +10673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.006803624,0.051 +10674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.099921127,0.051 +10675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.592377692,0.051 +10677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.708661964,0.051 +10678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.747336288,0.051 +10676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.062332477,0.051 +10680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.445599701,0.051 +10681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.241252202,0.051 +10682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.543969458,0.051 +10679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.189168735,0.051 +10683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.491212528,0.051 +10684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.288249731,0.051 +10685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.164700813,0.051 +10686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.020827272,0.051 +10688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.441311264,0.051 +10687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.457698142,0.051 +10689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,5.66E-04,0.051 +10691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.557006263,0.051 +10690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.234635735,0.051 +10693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.751552601,0.051 +10692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.152879037,0.051 +10695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.639686318,0.051 +10694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.507555032,0.051 +10696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.072982333,0.051 +10697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.622458936,0.051 +10698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.030041321,0.051 +10699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.599817292,0.051 +10700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.740921412,0.051 +10701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.589348503,0.051 +10703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.340768244,0.051 +10702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.473933507,0.051 +10704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.46076751,0.051 +10705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.206004112,0.051 +10706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.045226488,0.051 +10708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.547091709,0.051 +10707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.633120307,0.051 +10710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.333864824,0.051 +10711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.0800884,0.051 +10709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.178098174,0.051 +10713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.228391866,0.051 +10712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.159966393,0.051 +10714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.434117983,0.051 +10715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.493014471,0.051 +10716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.360471146,0.051 +10718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.695333147,0.051 +10717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.730485132,0.051 +10719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.396423907,0.051 +10720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.278936757,0.051 +10721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.761571983,0.051 +10722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.258014393,0.051 +10725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.701402448,0.051 +10724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.520761251,0.051 +10723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.634637554,0.051 +10726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.095118833,0.051 +10728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.298726842,0.051 +10727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.099761595,0.051 +10729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.284914549,0.051 +10730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.171761389,0.051 +10732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.245468036,0.051 +10733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.625567477,0.051 +10731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.579797723,0.051 +10734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.336476744,0.051 +10736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.365840092,0.051 +10737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.173271719,0.051 +10738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.439716578,0.051 +10735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.588767804,0.051 +10740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.426965539,0.051 +10742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.486679155,0.051 +10741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.082599481,0.051 +10739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.2430494,0.051 +10743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.634107161,0.051 +10744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.365797221,0.051 +10745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.42736132,0.051 +10746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.739287369,0.051 +10747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.312076086,0.051 +10748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.461314963,0.051 +10749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.521961893,0.051 +10750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.110878523,0.051 +10753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.692920938,0.051 +10752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.148186556,0.051 +10751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.2855452,0.051 +10755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.304357763,0.051 +10756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.650204193,0.051 +10754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.176748534,0.051 +10758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.607478468,0.051 +10757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.364897272,0.051 +10759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.29311698,0.051 +10760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.020308398,0.051 +10761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.456368766,0.051 +10762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.243521113,0.051 +10764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.513432191,0.051 +10763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.194834293,0.051 +10765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.024079437,0.051 +10766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.42300372,0.051 +10767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.66879604,0.051 +10768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.553163676,0.051 +10769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.002198289,0.051 +10770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.67740581,0.051 +10772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.550127524,0.051 +10773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.268356362,0.051 +10775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.019084014,0.051 +10776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.235288589,0.051 +10771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.624282917,0.051 +10774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.597371748,0.051 +10777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.556989014,0.051 +10778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.685872142,0.051 +10779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.584361209,0.051 +10780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.141256874,0.051 +10782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.748096269,0.051 +10785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.43462909,0.051 +10784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.07659952,0.051 +10783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.179779774,0.051 +10781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.73265761,0.051 +10786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.684284648,0.051 +10787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.565460689,0.051 +10788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.011478611,0.051 +10791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.356408123,0.051 +10793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.569662186,0.051 +10789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.341294297,0.051 +10790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.235986319,0.051 +10794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.242760511,0.051 +10792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.466588828,0.051 +10796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.11932409,0.051 +10795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.378475444,0.051 +10797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.267098018,0.051 +10800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.422478101,0.051 +10799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.105573681,0.051 +10798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.043222992,0.051 +10801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.500951956,0.051 +10802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.243917371,0.051 +10804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.26190858,0.051 +10805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.865608079,0.051 +10803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.786365882,0.051 +10807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.430726333,0.051 +10806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.583493847,0.051 +10808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.422902717,0.051 +10809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.616688941,0.051 +10813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.218613221,0.051 +10814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.665033642,0.051 +10815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.075404158,0.051 +10812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.652541814,0.051 +10816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.649915141,0.051 +10811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.656568537,0.051 +10817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.491239316,0.051 +10810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.313135952,0.051 +10819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.130307946,0.051 +10818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.093010836,0.051 +10821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.897378059,0.051 +10820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.029024492,0.051 +10822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.076348242,0.051 +10823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.249963503,0.051 +10824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.880165943,0.051 +10825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.673656871,0.051 +10827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.117622564,0.051 +10829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.522904289,0.051 +10831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.065931712,0.051 +10828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.110622496,0.051 +10832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.338617642,0.051 +10830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.182356473,0.051 +10826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.041239047,0.051 +10834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.515212961,0.051 +10833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.785658626,0.051 +10835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.04964786,0.051 +10837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.523322832,0.051 +10839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.270053382,0.051 +10836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.620098477,0.051 +10838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.029197539,0.051 +10840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.352807793,0.051 +10844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.76944094,0.051 +10841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.366021173,0.051 +10845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.869329319,0.051 +10847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.793726124,0.051 +10846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.287395146,0.051 +10843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.464440135,0.051 +10848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.46883286,0.051 +10842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.447738973,0.051 +10849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.003539188,0.051 +10850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.045920079,0.051 +10852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.79970515,0.051 +10851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.189811633,0.051 +10853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.486630613,0.051 +10854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.174673274,0.051 +10855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.34022433,0.051 +10857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.272017017,0.051 +10859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.312386566,0.051 +10858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.014178221,0.051 +10856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.731122045,0.051 +10860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.515303527,0.051 +10862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.825256395,0.051 +10861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.284363792,0.051 +10863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.467642461,0.051 +10865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.521843555,0.051 +10866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.744289096,0.051 +10868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.454305251,0.051 +10864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.061270142,0.051 +10871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.581770408,0.051 +10869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.71817345,0.051 +10870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.429232072,0.051 +10867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.306932393,0.051 +10872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.145628349,0.051 +10873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.336906251,0.051 +10874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.438403137,0.051 +10875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.065172954,0.051 +10876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.2660792,0.051 +10877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.024131099,0.051 +10879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.23983182,0.051 +10878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.033911987,0.051 +10880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.355299,0.051 +10882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.399625423,0.051 +10881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.628697039,0.051 +10883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.608807869,0.051 +10884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.169130964,0.051 +10885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.060383259,0.051 +10886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.146692704,0.051 +10887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.484930674,0.051 +10888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.126337851,0.051 +10889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.239958205,0.051 +10890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.03311418,0.051 +10891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.385124974,0.051 +10892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.313873103,0.051 +10893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.379939891,0.051 +10894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.778089024,0.051 +10895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.043051703,0.051 +10896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.609988535,0.051 +10897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.397310858,0.051 +10899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.637915258,0.051 +10900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.554779205,0.051 +10901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.39974285,0.051 +10898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.250024699,0.051 +10902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.310425923,0.051 +10904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.508907836,0.051 +10905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.336457018,0.051 +10906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.475574652,0.051 +10907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.040680086,0.051 +10908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.70338325,0.051 +10909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.762576312,0.051 +10903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.721554883,0.051 +10910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.595334588,0.051 +10912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.440152627,0.051 +10913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.001719417,0.051 +10911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.667297577,0.051 +10914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.262191313,0.051 +10916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.017955568,0.051 +10915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.125259924,0.051 +10917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.446365889,0.051 +10921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.626320164,0.051 +10918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.569115007,0.051 +10919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.502636873,0.051 +10922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.264021141,0.051 +10920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.233043053,0.051 +10923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.590862786,0.051 +10924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.025311829,0.051 +10926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.7504034,0.051 +10927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.50099298,0.051 +10928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.17713879,0.051 +10929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.469355102,0.051 +10925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.563646515,0.051 +10930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.566101859,0.051 +10931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.268265049,0.051 +10932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.396007988,0.051 +10933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.499464996,0.051 +10934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.26458025,0.051 +10935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.31870334,0.051 +10936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.562609947,0.051 +10937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.608391943,0.051 +10938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.706059796,0.051 +10939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.42467819,0.051 +10940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.32857416,0.051 +10941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.200687146,0.051 +10942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.653666284,0.051 +10946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.27154756,0.051 +10944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.371210815,0.051 +10943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.484330932,0.051 +10947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.525366464,0.051 +10948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.02510207,0.051 +10949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.256499167,0.051 +10950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.582846448,0.051 +10951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.354861433,0.051 +10945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.233089912,0.051 +10953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.455412102,0.051 +10952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.379861839,0.051 +10954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.704879656,0.051 +10955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.779537659,0.051 +10956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.649667406,0.051 +10960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.484157645,0.051 +10957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.099132025,0.051 +10958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.595838076,0.051 +10959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.350844083,0.051 +10961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.43156077,0.051 +10962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.534905143,0.051 +10963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.377443513,0.051 +10964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.513123214,0.051 +10966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.524049729,0.051 +10965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.707359961,0.051 +10969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.065745696,0.051 +10967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.451498967,0.051 +10970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.640571813,0.051 +10971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.785239367,0.051 +10968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.555047854,0.051 +10972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.70493272,0.051 +10974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.022390361,0.051 +10975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.622412568,0.051 +10973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.702006525,0.051 +10978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.371591409,0.051 +10980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.480202144,0.051 +10977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.664072198,0.051 +10976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.675934142,0.051 +10979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,0.104258179,0.051 +10981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.744796669,0.051 +10982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.738789675,0.051 +10983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.103059197,0.051 +10984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.644414765,0.051 +10986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.674158034,0.051 +10988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.754510406,0.051 +10985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.561686304,0.051 +10987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.771506174,0.051 +10989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.177519415,0.051 +10990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.741546058,0.051 +10991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.393527805,0.051 +10993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.742035267,0.051 +10992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.436337675,0.051 +10995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.474330274,0.051 +10994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.335638511,0.051 +10996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.269091756,0.051 +10999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.196023393,0.051 +10997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.079475678,0.051 +10998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.198739124,0.051 +11000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.5,10,1,-0.72702916,0.051 +11001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.051776882,0.07 +11002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.382185244,0.07 +11004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.179766849,0.07 +11003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.356834025,0.07 +11006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.592914273,0.07 +11007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.701920263,0.07 +11008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.10104497,0.07 +11005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.203641164,0.07 +11009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.002784102,0.07 +11011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.763131034,0.07 +11010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.595973157,0.07 +11012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.442968426,0.07 +11013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.373934571,0.07 +11014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.210336657,0.07 +11015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.246376118,0.07 +11016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.296710077,0.07 +11017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.669794291,0.07 +11020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.165169074,0.07 +11018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.217374428,0.07 +11019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.248001972,0.07 +11021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.263956918,0.07 +11022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.69663357,0.07 +11023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.372962357,0.07 +11025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.347510404,0.07 +11024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.673418334,0.07 +11028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.518976264,0.07 +11026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.737453648,0.07 +11027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.463005804,0.07 +11029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.106241829,0.07 +11030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.444150891,0.07 +11031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.032434932,0.07 +11032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.3987512,0.07 +11036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.264706431,0.07 +11034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.438261356,0.07 +11035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.703367002,0.07 +11033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.825598524,0.07 +11038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.095558935,0.07 +11039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.308165891,0.07 +11037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.081202327,0.07 +11040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.564797235,0.07 +11042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.569543368,0.07 +11043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.073403711,0.07 +11041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.309529974,0.07 +11044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.522479099,0.07 +11045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.425748497,0.07 +11046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.404740337,0.07 +11047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.149372176,0.07 +11049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.740608661,0.07 +11048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.083001077,0.07 +11050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.376324595,0.07 +11051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.526080016,0.07 +11052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.018516425,0.07 +11053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.377082516,0.07 +11055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.548939388,0.07 +11057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.056752707,0.07 +11054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.262761099,0.07 +11058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.047579077,0.07 +11056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.427165229,0.07 +11060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.476118056,0.07 +11059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.365172941,0.07 +11061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.246781228,0.07 +11062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.26420206,0.07 +11064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.042144873,0.07 +11063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.035336549,0.07 +11066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.584496207,0.07 +11065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.623602134,0.07 +11068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.286020196,0.07 +11070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.435353399,0.07 +11067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.795758863,0.07 +11071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.800453406,0.07 +11072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.115429773,0.07 +11074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.621938655,0.07 +11069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.781684727,0.07 +11073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.372514367,0.07 +11075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.557926394,0.07 +11077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.306969271,0.07 +11076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.201934508,0.07 +11079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.289505335,0.07 +11078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.335765862,0.07 +11081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.730272454,0.07 +11082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.656287539,0.07 +11080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.376969087,0.07 +11085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.338614039,0.07 +11083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.074716571,0.07 +11086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.435757552,0.07 +11087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.254687191,0.07 +11088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.03914019,0.07 +11089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.198265405,0.07 +11090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.140850057,0.07 +11084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.040697669,0.07 +11091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.597676307,0.07 +11092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.330230094,0.07 +11093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.714965293,0.07 +11096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.301463155,0.07 +11097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.790481406,0.07 +11094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.839652245,0.07 +11098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.341057201,0.07 +11095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.669625188,0.07 +11101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.653446479,0.07 +11100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.46501367,0.07 +11099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.152195525,0.07 +11102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.849754645,0.07 +11104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.69718566,0.07 +11103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.695873851,0.07 +11105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.132677022,0.07 +11106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.112332534,0.07 +11109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.038847649,0.07 +11108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.244850719,0.07 +11107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.825770658,0.07 +11110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.003380981,0.07 +11111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.158714814,0.07 +11113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.095736201,0.07 +11112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.388412928,0.07 +11116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.251770126,0.07 +11117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.64644376,0.07 +11114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.633964116,0.07 +11118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.246280872,0.07 +11115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.295679327,0.07 +11120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.615170165,0.07 +11119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.471491507,0.07 +11121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.272077506,0.07 +11122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.481671109,0.07 +11123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.353928966,0.07 +11126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.216467552,0.07 +11124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.29123245,0.07 +11125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.086900351,0.07 +11127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.034402731,0.07 +11128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.42058366,0.07 +11129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.376170314,0.07 +11131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.047708076,0.07 +11132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.39436077,0.07 +11130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.384498653,0.07 +11135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.398329382,0.07 +11136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.522018593,0.07 +11134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.529202887,0.07 +11137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.362981863,0.07 +11133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.678792677,0.07 +11138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.372591995,0.07 +11139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.72866631,0.07 +11140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.755189477,0.07 +11141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.21016125,0.07 +11143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.771858562,0.07 +11142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.887362199,0.07 +11145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.507939,0.07 +11146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.061336674,0.07 +11148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.010286571,0.07 +11147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.505270261,0.07 +11144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.207545721,0.07 +11150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.254244313,0.07 +11151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.060855683,0.07 +11149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.392544129,0.07 +11153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.497271173,0.07 +11154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.157589479,0.07 +11156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.010861878,0.07 +11155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.431020739,0.07 +11157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.611533192,0.07 +11152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.694877419,0.07 +11159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.123420689,0.07 +11158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.796746851,0.07 +11161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.381498268,0.07 +11160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.696958301,0.07 +11162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.439579304,0.07 +11164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.016354112,0.07 +11163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.736344513,0.07 +11165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.010974454,0.07 +11166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.345344196,0.07 +11167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.577702519,0.07 +11168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.430177629,0.07 +11169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.220362758,0.07 +11170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.526802647,0.07 +11171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.523822437,0.07 +11172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.784417921,0.07 +11174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.512062846,0.07 +11175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.057556313,0.07 +11176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.288248716,0.07 +11173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.657840613,0.07 +11178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.049336868,0.07 +11179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.347424192,0.07 +11181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.230440491,0.07 +11182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.493645044,0.07 +11177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.71631936,0.07 +11183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.32832685,0.07 +11180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.389608914,0.07 +11184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.702069915,0.07 +11186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.049781264,0.07 +11185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.614931244,0.07 +11189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.015508112,0.07 +11190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.294399273,0.07 +11188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.20385961,0.07 +11191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.656222873,0.07 +11187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.157761731,0.07 +11194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.42641989,0.07 +11193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.048043738,0.07 +11192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.753558708,0.07 +11197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.019735765,0.07 +11199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.414603405,0.07 +11196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.410704718,0.07 +11195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.17076238,0.07 +11198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.295727497,0.07 +11201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.078893549,0.07 +11200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.698428387,0.07 +11202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.755434445,0.07 +11204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.780255094,0.07 +11205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.128971213,0.07 +11206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.659391641,0.07 +11207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.122158547,0.07 +11203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.265757631,0.07 +11209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.341955833,0.07 +11208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.014574513,0.07 +11211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.731371943,0.07 +11212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.338819648,0.07 +11213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.734103637,0.07 +11214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.757736582,0.07 +11215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.538806113,0.07 +11210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.668697332,0.07 +11216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.10003874,0.07 +11217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.731270156,0.07 +11218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.285188994,0.07 +11219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.534241733,0.07 +11221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.437934848,0.07 +11222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.597568947,0.07 +11220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.18650751,0.07 +11223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.820768307,0.07 +11224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.315372485,0.07 +11225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.645635431,0.07 +11227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.634506337,0.07 +11226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.647913747,0.07 +11228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.135639161,0.07 +11230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.027216857,0.07 +11232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.313256923,0.07 +11231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.048355466,0.07 +11233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.664407944,0.07 +11229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.173726589,0.07 +11235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.027301136,0.07 +11234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.426548833,0.07 +11237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.098518379,0.07 +11236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.585366921,0.07 +11238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.310659786,0.07 +11239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.781244184,0.07 +11241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.135875077,0.07 +11240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.607191728,0.07 +11243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.084433849,0.07 +11244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.035670504,0.07 +11242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.751528376,0.07 +11245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.385011721,0.07 +11249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.09401663,0.07 +11247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.343998864,0.07 +11246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.124764637,0.07 +11248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.731013122,0.07 +11251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.533353247,0.07 +11250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.758786198,0.07 +11252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.787888172,0.07 +11253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.136352,0.07 +11254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.795172717,0.07 +11256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.266463053,0.07 +11255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.4455687,0.07 +11257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.398484482,0.07 +11259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.490691603,0.07 +11260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.017919239,0.07 +11258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.008983143,0.07 +11261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.510165349,0.07 +11265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.762372562,0.07 +11264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.057276752,0.07 +11262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.759672478,0.07 +11263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.115407723,0.07 +11267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.102069292,0.07 +11266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.06794034,0.07 +11268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.608453979,0.07 +11269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.103892537,0.07 +11272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.565775909,0.07 +11273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.653301575,0.07 +11274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.390558362,0.07 +11270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.188005947,0.07 +11271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.24038421,0.07 +11275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.76881276,0.07 +11276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.631449818,0.07 +11277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.045868153,0.07 +11278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.744439203,0.07 +11281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.555756101,0.07 +11280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.536828907,0.07 +11284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.529070677,0.07 +11282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.746780671,0.07 +11279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.52561032,0.07 +11285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.075843975,0.07 +11288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.488837299,0.07 +11286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.702991148,0.07 +11283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.053796597,0.07 +11289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.712540866,0.07 +11291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.448493963,0.07 +11287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.079148455,0.07 +11290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.562437664,0.07 +11292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.2598376,0.07 +11293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.223246425,0.07 +11294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.615755874,0.07 +11296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.166452705,0.07 +11297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.071038373,0.07 +11295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.275496593,0.07 +11298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.590343765,0.07 +11299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.070405269,0.07 +11300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.614776734,0.07 +11301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.786508348,0.07 +11302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.162131285,0.07 +11303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.37109994,0.07 +11306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.369474125,0.07 +11304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.290885873,0.07 +11305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.1386442,0.07 +11307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.328711437,0.07 +11308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.369741356,0.07 +11309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.473001222,0.07 +11310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.203726907,0.07 +11313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.236709288,0.07 +11315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.710243536,0.07 +11311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.379952015,0.07 +11312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.251806653,0.07 +11316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.051233423,0.07 +11314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.144958007,0.07 +11318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.032229274,0.07 +11319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.623423696,0.07 +11320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.05499014,0.07 +11317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.77998138,0.07 +11321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.528108139,0.07 +11322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.598854805,0.07 +11323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.299542743,0.07 +11324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.47469467,0.07 +11326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.838440098,0.07 +11325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.281978876,0.07 +11328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.778717978,0.07 +11327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.700793928,0.07 +11330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.220479776,0.07 +11329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.117530429,0.07 +11331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.763568091,0.07 +11333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.152561031,0.07 +11334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.599257507,0.07 +11335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.453501088,0.07 +11332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.010967171,0.07 +11336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.123283269,0.07 +11337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.18737013,0.07 +11338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.423855527,0.07 +11339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.224773521,0.07 +11342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.380267699,0.07 +11340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.167708741,0.07 +11341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.331347034,0.07 +11343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.002941735,0.07 +11345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.525963341,0.07 +11344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.617167869,0.07 +11346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.28714908,0.07 +11347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.390820938,0.07 +11348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.384991536,0.07 +11349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.001873887,0.07 +11350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.768327393,0.07 +11351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.168244377,0.07 +11352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.211786046,0.07 +11354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.820747031,0.07 +11353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.537280301,0.07 +11355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.029304,0.07 +11358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.597281504,0.07 +11356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.261135242,0.07 +11360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.66655165,0.07 +11357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.299571319,0.07 +11361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.267094171,0.07 +11359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.042773298,0.07 +11362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.62718842,0.07 +11363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.525742735,0.07 +11364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.289908096,0.07 +11367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.076360783,0.07 +11365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.36300335,0.07 +11366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.149905558,0.07 +11368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.30146038,0.07 +11369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.248534782,0.07 +11370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.832968433,0.07 +11372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.476844811,0.07 +11374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.042701938,0.07 +11373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.350674119,0.07 +11375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.034252604,0.07 +11376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.671788153,0.07 +11371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.788881894,0.07 +11377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.403703437,0.07 +11378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.369151252,0.07 +11382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.682520308,0.07 +11381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.042677068,0.07 +11384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.043437558,0.07 +11380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.283240293,0.07 +11379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.658790452,0.07 +11386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.033045771,0.07 +11383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.216293067,0.07 +11385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.818500824,0.07 +11387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.448817324,0.07 +11388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.220954121,0.07 +11390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.087953567,0.07 +11391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.094110513,0.07 +11389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.670461268,0.07 +11392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.189623845,0.07 +11393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.418834141,0.07 +11394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.018370306,0.07 +11396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.083832604,0.07 +11395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.600901276,0.07 +11398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.648362785,0.07 +11399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.043210343,0.07 +11397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.122731886,0.07 +11400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.190617523,0.07 +11402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.217097707,0.07 +11401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.014017906,0.07 +11405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.495709027,0.07 +11404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.468170666,0.07 +11406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.054278746,0.07 +11407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.064935123,0.07 +11403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.034381659,0.07 +11409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.42553709,0.07 +11410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.28846171,0.07 +11408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.810795718,0.07 +11411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.561038603,0.07 +11415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.625577372,0.07 +11412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.283264618,0.07 +11413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.097911165,0.07 +11414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.473578138,0.07 +11416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.013768818,0.07 +11417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.050329462,0.07 +11418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.09325789,0.07 +11421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.118195737,0.07 +11422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.738733879,0.07 +11419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.558519591,0.07 +11420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.430482902,0.07 +11423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.085541852,0.07 +11424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.601173791,0.07 +11426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.179645522,0.07 +11427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.161124184,0.07 +11428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.215117003,0.07 +11425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.695231736,0.07 +11429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.171188647,0.07 +11430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.456497625,0.07 +11431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.608962013,0.07 +11432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.791091831,0.07 +11433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.250236755,0.07 +11435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.184393261,0.07 +11434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.01049215,0.07 +11436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.884357587,0.07 +11437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.011546536,0.07 +11438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.072232913,0.07 +11439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.548944138,0.07 +11440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.432065801,0.07 +11441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.259324086,0.07 +11442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.033422665,0.07 +11443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.69640487,0.07 +11445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.064729373,0.07 +11446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.216634075,0.07 +11444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.151538617,0.07 +11447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.148741297,0.07 +11449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.159951726,0.07 +11448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.416488081,0.07 +11450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.235722927,0.07 +11453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.024750967,0.07 +11452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.585852015,0.07 +11455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.248179373,0.07 +11451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.512008829,0.07 +11454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.005032325,0.07 +11456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.41200493,0.07 +11457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,5.14E-04,0.07 +11458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.074217275,0.07 +11460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.169217277,0.07 +11461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.122415297,0.07 +11459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.550522204,0.07 +11462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.249180567,0.07 +11463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.437172892,0.07 +11465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.0165412,0.07 +11467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.538396707,0.07 +11466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.121157928,0.07 +11464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.817536976,0.07 +11469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.846969979,0.07 +11468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.696150923,0.07 +11470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.59529924,0.07 +11472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.593970637,0.07 +11473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.567389599,0.07 +11474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.098585152,0.07 +11475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.024664454,0.07 +11471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.581995649,0.07 +11476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.459129278,0.07 +11477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.63882488,0.07 +11478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.734408736,0.07 +11479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.106905961,0.07 +11482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.274854724,0.07 +11481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.377624452,0.07 +11484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.214494299,0.07 +11483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.707421476,0.07 +11485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.234991651,0.07 +11480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.150265406,0.07 +11486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.014769608,0.07 +11487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.358795079,0.07 +11489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.428881709,0.07 +11491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.155821816,0.07 +11488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.080103552,0.07 +11490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.357339041,0.07 +11493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.028117811,0.07 +11495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.155658283,0.07 +11494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.344171618,0.07 +11492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.124081597,0.07 +11496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.32773816,0.07 +11498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.563224832,0.07 +11497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.061992209,0.07 +11499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.155500002,0.07 +11500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.293677932,0.07 +11502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.306268729,0.07 +11501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.234722688,0.07 +11505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.732163909,0.07 +11503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.548421756,0.07 +11506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.376775025,0.07 +11504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.006071953,0.07 +11508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.115591722,0.07 +11507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.139213506,0.07 +11509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.332038866,0.07 +11510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.684042393,0.07 +11511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.072182808,0.07 +11514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.038929184,0.07 +11513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.264056509,0.07 +11515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.548754557,0.07 +11512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.235028342,0.07 +11516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.164192544,0.07 +11517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.611431362,0.07 +11518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.398213329,0.07 +11519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.192127318,0.07 +11521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.520168756,0.07 +11520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.811070476,0.07 +11522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.390287393,0.07 +11524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.581924546,0.07 +11525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.237947746,0.07 +11526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.389453211,0.07 +11523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.62352242,0.07 +11529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.064294635,0.07 +11528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.195228897,0.07 +11527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.038013854,0.07 +11530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.331968596,0.07 +11533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.111143966,0.07 +11531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.420930823,0.07 +11532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.611879475,0.07 +11537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.53893723,0.07 +11536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.671351419,0.07 +11534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.056633625,0.07 +11535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.558686131,0.07 +11538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.187252434,0.07 +11540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.118547335,0.07 +11541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.094180139,0.07 +11543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.105284381,0.07 +11539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.663840614,0.07 +11545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.057666844,0.07 +11544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.694522681,0.07 +11546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.01149825,0.07 +11542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.528047662,0.07 +11547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-6.92E-04,0.07 +11550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.593225737,0.07 +11548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.52519357,0.07 +11549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.732828057,0.07 +11551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.366945212,0.07 +11552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.030226987,0.07 +11554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.145865158,0.07 +11555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.449535112,0.07 +11553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.789355925,0.07 +11556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.23671446,0.07 +11557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.002616587,0.07 +11558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.405972671,0.07 +11559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.397238577,0.07 +11560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.033356108,0.07 +11561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.764493981,0.07 +11563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.373260343,0.07 +11562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.679970734,0.07 +11564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.382103148,0.07 +11565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.010023981,0.07 +11566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.019845331,0.07 +11567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.801865926,0.07 +11569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.38615898,0.07 +11570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.254906411,0.07 +11572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.076265541,0.07 +11571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.776395646,0.07 +11574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.00825234,0.07 +11575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.657800537,0.07 +11568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.309109223,0.07 +11573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.082187266,0.07 +11576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.568941654,0.07 +11579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.504756787,0.07 +11577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.113129569,0.07 +11580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.335493967,0.07 +11578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.293332911,0.07 +11581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.614244935,0.07 +11582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.384475419,0.07 +11583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.022744447,0.07 +11584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.696072204,0.07 +11586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.56696756,0.07 +11587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.219416917,0.07 +11588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.070021476,0.07 +11585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.647196651,0.07 +11589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.707427796,0.07 +11590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.04182995,0.07 +11592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.198768465,0.07 +11591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.677730935,0.07 +11593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.058982887,0.07 +11594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.452145189,0.07 +11596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.195549153,0.07 +11595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.171967213,0.07 +11597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.551511465,0.07 +11598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.142797469,0.07 +11600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.446563327,0.07 +11599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.501199992,0.07 +11601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.22337809,0.07 +11602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.773897989,0.07 +11604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.423143006,0.07 +11605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.325282218,0.07 +11603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.484852969,0.07 +11607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.154074193,0.07 +11606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.640708681,0.07 +11608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.788555374,0.07 +11609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.657811081,0.07 +11610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.277698767,0.07 +11611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.477614638,0.07 +11613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.501716502,0.07 +11612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.298337805,0.07 +11617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.101887569,0.07 +11616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.739647488,0.07 +11614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.873235233,0.07 +11615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.457407778,0.07 +11618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.022564775,0.07 +11619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.656712034,0.07 +11620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.471178253,0.07 +11621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.10659269,0.07 +11622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.859273134,0.07 +11624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.493171768,0.07 +11623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.762832927,0.07 +11625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.182255705,0.07 +11626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.726222589,0.07 +11629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.659348202,0.07 +11627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.312915182,0.07 +11628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.242670361,0.07 +11630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.6990513,0.07 +11632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.239014361,0.07 +11631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.533289478,0.07 +11634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.598919278,0.07 +11636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.34985784,0.07 +11633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.635364991,0.07 +11635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.037163743,0.07 +11637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.728817737,0.07 +11638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.706139961,0.07 +11639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.213004436,0.07 +11640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.583746457,0.07 +11641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.341292645,0.07 +11644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.255072748,0.07 +11643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.521170866,0.07 +11642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.008825455,0.07 +11645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.294232296,0.07 +11646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.343283831,0.07 +11647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.764152401,0.07 +11648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.360440956,0.07 +11649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.302910015,0.07 +11650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.074795438,0.07 +11652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.359066212,0.07 +11651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.084741186,0.07 +11653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.047416873,0.07 +11654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.707164658,0.07 +11656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.580542699,0.07 +11655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.533299468,0.07 +11657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.633563714,0.07 +11658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.497031602,0.07 +11659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.151074513,0.07 +11660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.118158216,0.07 +11661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.697068707,0.07 +11663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.176052176,0.07 +11664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.51720364,0.07 +11662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.023842215,0.07 +11665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.523349988,0.07 +11666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.133193429,0.07 +11667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.072838503,0.07 +11669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.110632198,0.07 +11668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.638005633,0.07 +11670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.246768162,0.07 +11671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.166603665,0.07 +11672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.447595423,0.07 +11674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.517864358,0.07 +11673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.700097006,0.07 +11675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.476911662,0.07 +11676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.014107193,0.07 +11678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.662121662,0.07 +11677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.606549778,0.07 +11679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.028071437,0.07 +11681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.375391045,0.07 +11682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.209978866,0.07 +11680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.036583,0.07 +11683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.650436258,0.07 +11684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.425127181,0.07 +11685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.314013742,0.07 +11687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.035553063,0.07 +11688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.69373498,0.07 +11689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.722002248,0.07 +11691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.185086683,0.07 +11690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.40882638,0.07 +11686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.356223777,0.07 +11692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.741435217,0.07 +11693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.54228969,0.07 +11694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.301900191,0.07 +11695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.007859112,0.07 +11696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.015948662,0.07 +11698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.353032167,0.07 +11699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.569926467,0.07 +11697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.741514129,0.07 +11701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.024059595,0.07 +11700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.253898011,0.07 +11702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.137839757,0.07 +11703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-1.53E-04,0.07 +11704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.395348797,0.07 +11705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.736662989,0.07 +11706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.312389188,0.07 +11707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.621975957,0.07 +11709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.825480719,0.07 +11710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.402097786,0.07 +11708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.56355717,0.07 +11711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.326577627,0.07 +11713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.526128394,0.07 +11712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.693179231,0.07 +11715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.302475794,0.07 +11714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.740669482,0.07 +11716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.435973214,0.07 +11718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.001305277,0.07 +11717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.094082856,0.07 +11719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.606186498,0.07 +11720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.645623494,0.07 +11721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.2894835,0.07 +11722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.183072936,0.07 +11723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.193562757,0.07 +11725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.738143793,0.07 +11727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.765215125,0.07 +11724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.410097274,0.07 +11728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.461780724,0.07 +11726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.090782149,0.07 +11729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.381714285,0.07 +11730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.366206758,0.07 +11732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.431849913,0.07 +11733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.218383534,0.07 +11734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.761512323,0.07 +11736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.086165952,0.07 +11731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.149074773,0.07 +11735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.268398373,0.07 +11737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.476989027,0.07 +11738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.781574266,0.07 +11739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.314960219,0.07 +11741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.504665384,0.07 +11742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.716367033,0.07 +11740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.433547305,0.07 +11744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.539803824,0.07 +11743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.676624125,0.07 +11745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.60841839,0.07 +11746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.010020318,0.07 +11747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.030721025,0.07 +11748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.451263301,0.07 +11751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.140593405,0.07 +11749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.053103996,0.07 +11750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.527302746,0.07 +11753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.010865475,0.07 +11755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.028795644,0.07 +11752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.160770209,0.07 +11754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.156313539,0.07 +11756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.367840144,0.07 +11758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.781166758,0.07 +11759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.044577469,0.07 +11757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.710513291,0.07 +11760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.750085815,0.07 +11761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.763085791,0.07 +11762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.079715879,0.07 +11763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.208412742,0.07 +11764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.437244991,0.07 +11766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.680124988,0.07 +11765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.336025932,0.07 +11767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.54345756,0.07 +11768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.167676078,0.07 +11771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.299990277,0.07 +11769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.325263978,0.07 +11770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.27997979,0.07 +11772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.595209006,0.07 +11774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.410481357,0.07 +11775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.223745464,0.07 +11773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.250590464,0.07 +11776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.054668392,0.07 +11778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.119644129,0.07 +11777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.224199827,0.07 +11780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.584148243,0.07 +11781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.180080583,0.07 +11782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.445286603,0.07 +11783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.333174831,0.07 +11779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.606727459,0.07 +11784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.062857312,0.07 +11785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.289870426,0.07 +11786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.548703854,0.07 +11787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.175075886,0.07 +11788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.66769839,0.07 +11790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.387590287,0.07 +11789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.555536549,0.07 +11791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.700738078,0.07 +11792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.41873234,0.07 +11793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.235518329,0.07 +11794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.347638581,0.07 +11795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.800562126,0.07 +11796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.808996304,0.07 +11798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.651281832,0.07 +11797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.300662121,0.07 +11800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.139634944,0.07 +11799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.852585974,0.07 +11802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.379353481,0.07 +11801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.221319989,0.07 +11804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.003554765,0.07 +11805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.536539644,0.07 +11806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.137678187,0.07 +11803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.706186102,0.07 +11807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.766122235,0.07 +11809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.09726576,0.07 +11810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.552598599,0.07 +11808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.721236445,0.07 +11811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.417818046,0.07 +11813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.409162026,0.07 +11814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.58523441,0.07 +11812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.317287805,0.07 +11815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.674834801,0.07 +11817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.4491368,0.07 +11816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.133517626,0.07 +11819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.392194139,0.07 +11820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.107073973,0.07 +11821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.572661701,0.07 +11822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.051542701,0.07 +11823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.758020623,0.07 +11818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.277009352,0.07 +11824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.038363891,0.07 +11825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.249590844,0.07 +11826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.506674064,0.07 +11827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.485088934,0.07 +11828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.333157615,0.07 +11829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.688184181,0.07 +11830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.445796553,0.07 +11831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.137959011,0.07 +11832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.444651394,0.07 +11834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.224344914,0.07 +11833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.043766171,0.07 +11835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.53365519,0.07 +11836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.602415503,0.07 +11837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.302441839,0.07 +11838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.172360347,0.07 +11840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.37347277,0.07 +11841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.103724876,0.07 +11842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.249352539,0.07 +11839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.322055445,0.07 +11843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.436628744,0.07 +11845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.151709011,0.07 +11844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.418413844,0.07 +11847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.815812785,0.07 +11846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.580595058,0.07 +11848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.246424024,0.07 +11850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.697823293,0.07 +11849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.676502173,0.07 +11853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.034048806,0.07 +11852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.435544596,0.07 +11851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.412454198,0.07 +11854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.459906287,0.07 +11855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.539686809,0.07 +11856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.674485381,0.07 +11858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.595085621,0.07 +11857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.354906215,0.07 +11860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.659917063,0.07 +11861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.563461767,0.07 +11859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.743520875,0.07 +11862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.656782526,0.07 +11864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.766597985,0.07 +11863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.704215925,0.07 +11865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.328572924,0.07 +11868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.5511307,0.07 +11867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.220412089,0.07 +11869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.153359177,0.07 +11866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.023845763,0.07 +11870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.810918897,0.07 +11871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.360479538,0.07 +11872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.226018304,0.07 +11873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.053006125,0.07 +11874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.731087545,0.07 +11876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.355683161,0.07 +11877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.213632742,0.07 +11878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.706559155,0.07 +11880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.025788742,0.07 +11879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.053476897,0.07 +11881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.316689592,0.07 +11875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.588523904,0.07 +11882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.620502722,0.07 +11885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.738578855,0.07 +11884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.047991562,0.07 +11883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.609546985,0.07 +11886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.496397296,0.07 +11887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.429265657,0.07 +11888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.844900487,0.07 +11889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.316444228,0.07 +11891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.821599414,0.07 +11893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.56296159,0.07 +11892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.707236039,0.07 +11895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.735194095,0.07 +11894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.006758072,0.07 +11890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.559508278,0.07 +11896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.715512161,0.07 +11897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.215605727,0.07 +11898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.438969103,0.07 +11899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.401194091,0.07 +11900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.106369129,0.07 +11901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.78745254,0.07 +11903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.048390015,0.07 +11904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.54342443,0.07 +11902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.490387935,0.07 +11906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.68114222,0.07 +11905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.319350497,0.07 +11907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.073863838,0.07 +11909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.316379234,0.07 +11908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.138675436,0.07 +11910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.507872919,0.07 +11912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.41356692,0.07 +11911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.554551557,0.07 +11917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.167582444,0.07 +11913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.452326366,0.07 +11914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.132863175,0.07 +11916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.45718489,0.07 +11919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.670365932,0.07 +11918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.058229827,0.07 +11920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.396327291,0.07 +11915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.419868361,0.07 +11922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.451216914,0.07 +11924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.098144514,0.07 +11923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.027067057,0.07 +11921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.729563846,0.07 +11926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.109768313,0.07 +11928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.749693395,0.07 +11925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.476576386,0.07 +11927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.669856965,0.07 +11932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.039513752,0.07 +11930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.039752868,0.07 +11933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.060387687,0.07 +11929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.001345037,0.07 +11931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.046330301,0.07 +11934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.251089334,0.07 +11935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.478900481,0.07 +11936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.392646084,0.07 +11938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.751780652,0.07 +11940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.390189337,0.07 +11937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.227914618,0.07 +11939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.473935986,0.07 +11942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.266518972,0.07 +11943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.650542359,0.07 +11944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.734734334,0.07 +11946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.717609189,0.07 +11941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.394190252,0.07 +11945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.397917437,0.07 +11949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.276354634,0.07 +11948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.520558128,0.07 +11947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.463881672,0.07 +11950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.448754433,0.07 +11951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.149921704,0.07 +11954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.547449622,0.07 +11952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.028503695,0.07 +11953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.23250066,0.07 +11956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.676944644,0.07 +11955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.679038698,0.07 +11957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.28924109,0.07 +11958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.066302277,0.07 +11959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.190990951,0.07 +11960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.722081465,0.07 +11961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.206725609,0.07 +11962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.397473501,0.07 +11964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.471961745,0.07 +11966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.691941808,0.07 +11963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.433263273,0.07 +11965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.501398583,0.07 +11967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.646297809,0.07 +11968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.694185576,0.07 +11969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.795551106,0.07 +11970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.028225772,0.07 +11971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.253326408,0.07 +11972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.046428973,0.07 +11973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.442654905,0.07 +11975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.222920552,0.07 +11974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.420764795,0.07 +11976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.069925109,0.07 +11977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.019268957,0.07 +11979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.0550334,0.07 +11978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.07034223,0.07 +11981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.746833953,0.07 +11980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.290340945,0.07 +11982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.166757124,0.07 +11983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.604916028,0.07 +11984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.635933769,0.07 +11985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.032584168,0.07 +11986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.784832742,0.07 +11989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.614885846,0.07 +11990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,0.06817814,0.07 +11987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.578205085,0.07 +11991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.168524776,0.07 +11992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.025520715,0.07 +11988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.583828555,0.07 +11993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.370884338,0.07 +11995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.048977085,0.07 +11996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.832230111,0.07 +11994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.440196844,0.07 +11999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.437986129,0.07 +11998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.721669368,0.07 +12000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.187537239,0.07 +11997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.55,10,1,-0.266157097,0.07 +12001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.428304645,0.063 +12002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.15207783,0.063 +12003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.573636785,0.063 +12004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.081759346,0.063 +12005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.313539583,0.063 +12008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.591423829,0.063 +12007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.418604762,0.063 +12009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.010726131,0.063 +12006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.761902008,0.063 +12010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.068864686,0.063 +12011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.548616985,0.063 +12012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.089407923,0.063 +12013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.788123836,0.063 +12014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.053688851,0.063 +12015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.121354057,0.063 +12017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.342570559,0.063 +12018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.815887509,0.063 +12019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.407670799,0.063 +12021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.046636558,0.063 +12022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.390258775,0.063 +12016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.291252679,0.063 +12020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.692561676,0.063 +12023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.327293892,0.063 +12025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.540922626,0.063 +12024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.712534555,0.063 +12026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.069376396,0.063 +12028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.657900951,0.063 +12030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.699425461,0.063 +12027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.728286283,0.063 +12029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.348047049,0.063 +12033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.392517624,0.063 +12032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.525351068,0.063 +12031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.332026718,0.063 +12034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.183941015,0.063 +12035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.064784703,0.063 +12037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.055018513,0.063 +12036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.717259094,0.063 +12038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.336469677,0.063 +12039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.027563397,0.063 +12040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.156411328,0.063 +12041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.38844864,0.063 +12042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.287209417,0.063 +12043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.155645564,0.063 +12045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.00797576,0.063 +12044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.082579623,0.063 +12049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.189803075,0.063 +12050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.72847563,0.063 +12047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.0567903,0.063 +12048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.314770491,0.063 +12051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.583324688,0.063 +12046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.142845447,0.063 +12052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.255368996,0.063 +12055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.025034348,0.063 +12053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.147325855,0.063 +12057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.151357614,0.063 +12058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.286257685,0.063 +12056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.362258557,0.063 +12060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.162201112,0.063 +12059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.74949289,0.063 +12054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.085547735,0.063 +12061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.344976597,0.063 +12062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.185143748,0.063 +12063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.780908204,0.063 +12064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.325333072,0.063 +12065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.558126088,0.063 +12066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.395840647,0.063 +12067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.605082187,0.063 +12069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.485369525,0.063 +12068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.468084518,0.063 +12072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.318913922,0.063 +12070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.52629237,0.063 +12071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.378769669,0.063 +12074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.360929137,0.063 +12073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.08560822,0.063 +12076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.127171692,0.063 +12077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.736284789,0.063 +12079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.453574862,0.063 +12078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.123846534,0.063 +12080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.756367533,0.063 +12081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.808542675,0.063 +12075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.761994664,0.063 +12082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.201850748,0.063 +12084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.311131491,0.063 +12086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.740763495,0.063 +12083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.641654248,0.063 +12085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.368964157,0.063 +12088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.242498487,0.063 +12089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.332298456,0.063 +12087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.114787817,0.063 +12091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.731953045,0.063 +12092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.04754538,0.063 +12093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.085972025,0.063 +12094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.802065615,0.063 +12090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.761749307,0.063 +12095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.114042352,0.063 +12097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.386650034,0.063 +12098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.785258092,0.063 +12099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.728414287,0.063 +12096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.314289083,0.063 +12101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.120175546,0.063 +12102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.390277631,0.063 +12103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.637011883,0.063 +12100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.785850077,0.063 +12104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.187515268,0.063 +12105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.506195587,0.063 +12108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.696127313,0.063 +12106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.005352729,0.063 +12109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.447522823,0.063 +12111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.638884962,0.063 +12112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.770783805,0.063 +12110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.611479869,0.063 +12107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.179439479,0.063 +12113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.069762498,0.063 +12114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.710898908,0.063 +12115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.343101078,0.063 +12117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.852075702,0.063 +12116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.444665559,0.063 +12118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.383352051,0.063 +12119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.353518601,0.063 +12120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.678233555,0.063 +12121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.662663158,0.063 +12122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.330192394,0.063 +12126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.51137292,0.063 +12123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.294618532,0.063 +12125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.201235255,0.063 +12127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.171362717,0.063 +12124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.844939635,0.063 +12128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.523377109,0.063 +12129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.505645156,0.063 +12130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.014622252,0.063 +12131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.336774363,0.063 +12133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.499853184,0.063 +12134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.11097763,0.063 +12135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.658934258,0.063 +12136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.39789263,0.063 +12132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.420057797,0.063 +12138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.400630802,0.063 +12139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.064952029,0.063 +12140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.044705157,0.063 +12141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.705913171,0.063 +12137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.016994517,0.063 +12143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.733853732,0.063 +12142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.298812805,0.063 +12144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.574922378,0.063 +12145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.156088171,0.063 +12147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.588856116,0.063 +12146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.658230485,0.063 +12148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.135856616,0.063 +12149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.477377018,0.063 +12150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.088216075,0.063 +12151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.631494855,0.063 +12153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.72212062,0.063 +12152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.046163331,0.063 +12154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.492094675,0.063 +12156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.184838311,0.063 +12155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.205301984,0.063 +12157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.783010086,0.063 +12158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.409535684,0.063 +12159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.561635747,0.063 +12160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.003437381,0.063 +12162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.397410301,0.063 +12163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.411365593,0.063 +12164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.349821584,0.063 +12165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.144786027,0.063 +12161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.129178223,0.063 +12167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.013746156,0.063 +12168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.554959829,0.063 +12166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.689491596,0.063 +12169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.448247016,0.063 +12170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.696492878,0.063 +12172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.533321497,0.063 +12174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.249830786,0.063 +12171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.651926163,0.063 +12173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.376512673,0.063 +12176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.543858607,0.063 +12175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.500613763,0.063 +12177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.594006844,0.063 +12179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.494252632,0.063 +12178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.496615546,0.063 +12180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.268331228,0.063 +12181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.334047178,0.063 +12183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.21774852,0.063 +12182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.134944336,0.063 +12184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.395029169,0.063 +12185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.5248148,0.063 +12186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.58941103,0.063 +12187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.097217708,0.063 +12188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.439173639,0.063 +12189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.003151203,0.063 +12190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.14939695,0.063 +12192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.138394358,0.063 +12191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.692992009,0.063 +12193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.003384919,0.063 +12197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.158983714,0.063 +12196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.741452166,0.063 +12195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.305383437,0.063 +12198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.251211598,0.063 +12199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.651046616,0.063 +12194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.564560382,0.063 +12201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.025737783,0.063 +12200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.683906659,0.063 +12202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.723646525,0.063 +12204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.543173922,0.063 +12203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.144892404,0.063 +12205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.622201569,0.063 +12206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.366725072,0.063 +12207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.540745795,0.063 +12208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.704944422,0.063 +12209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.499561708,0.063 +12211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.609618952,0.063 +12212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.002772561,0.063 +12213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.769644925,0.063 +12210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.590949485,0.063 +12215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.209567069,0.063 +12214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.014655979,0.063 +12216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.175095544,0.063 +12217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.559385896,0.063 +12219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.679512012,0.063 +12218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.047463948,0.063 +12221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.765738444,0.063 +12222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.373586412,0.063 +12220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.158480665,0.063 +12223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.121255677,0.063 +12224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.207701211,0.063 +12225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.768768248,0.063 +12226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.175235199,0.063 +12230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.101402033,0.063 +12227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.327354909,0.063 +12229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.338152783,0.063 +12228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.392638152,0.063 +12231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.22357997,0.063 +12232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.272019805,0.063 +12234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.120689777,0.063 +12235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.117750521,0.063 +12233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.702361582,0.063 +12238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.375043898,0.063 +12236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.555463419,0.063 +12237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.590063756,0.063 +12239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.283989375,0.063 +12240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.73822118,0.063 +12243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.192092839,0.063 +12241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.699403265,0.063 +12244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.749512106,0.063 +12242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.387245272,0.063 +12246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.54927809,0.063 +12247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.018125542,0.063 +12245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.709020139,0.063 +12248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.507243508,0.063 +12249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.11618444,0.063 +12250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.646179935,0.063 +12251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.516496067,0.063 +12253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.046669473,0.063 +12252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.286321629,0.063 +12254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.305604935,0.063 +12255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.09710673,0.063 +12256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.611022017,0.063 +12257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.740905329,0.063 +12259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.635345703,0.063 +12258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.20178867,0.063 +12260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.507114986,0.063 +12262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.752954289,0.063 +12263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.63267317,0.063 +12265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.711586371,0.063 +12266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.055667823,0.063 +12264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.614503998,0.063 +12261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.287713777,0.063 +12267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.278475789,0.063 +12268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.418493633,0.063 +12269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.106498244,0.063 +12270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.113617249,0.063 +12271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.240720602,0.063 +12272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.546317139,0.063 +12273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.248982785,0.063 +12274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.036358282,0.063 +12275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.110242725,0.063 +12276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.714534825,0.063 +12277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.095130823,0.063 +12278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.580932617,0.063 +12279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.569705462,0.063 +12280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.63808691,0.063 +12281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.488537775,0.063 +12282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.134042892,0.063 +12283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.410568049,0.063 +12285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.321900789,0.063 +12284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.01966206,0.063 +12286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.431870323,0.063 +12288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.705921805,0.063 +12289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.823190201,0.063 +12287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.733237237,0.063 +12291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.079015155,0.063 +12292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.591225764,0.063 +12290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.455111118,0.063 +12293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.094315082,0.063 +12294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.26826315,0.063 +12295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.840014695,0.063 +12296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.435812394,0.063 +12297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.445470907,0.063 +12299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.461351777,0.063 +12298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.133894702,0.063 +12301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.783581941,0.063 +12300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.024095186,0.063 +12302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.647537141,0.063 +12303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.410810121,0.063 +12304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.455409411,0.063 +12306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.07955989,0.063 +12307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.050425573,0.063 +12305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.434187838,0.063 +12308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.554898244,0.063 +12310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.00568834,0.063 +12309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.373253268,0.063 +12311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.465506966,0.063 +12312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.647478762,0.063 +12313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.069128851,0.063 +12315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.740505226,0.063 +12316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.102917565,0.063 +12314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.036656832,0.063 +12317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.344945668,0.063 +12319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.537874153,0.063 +12320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.663221567,0.063 +12318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.709549742,0.063 +12321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.110337875,0.063 +12322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.401752441,0.063 +12323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.496929409,0.063 +12324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.66338704,0.063 +12326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.324010188,0.063 +12325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.511029872,0.063 +12327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.509404309,0.063 +12328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.679509906,0.063 +12329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.383897977,0.063 +12330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.054501137,0.063 +12331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.351457081,0.063 +12332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.610616594,0.063 +12334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.853536737,0.063 +12335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.427658515,0.063 +12336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.12131605,0.063 +12337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.821186104,0.063 +12333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.203505602,0.063 +12338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.187889583,0.063 +12339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.006658768,0.063 +12340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.340839994,0.063 +12342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.192482531,0.063 +12341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.668351908,0.063 +12344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.324308175,0.063 +12345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.186381826,0.063 +12343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.696713994,0.063 +12346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.432698245,0.063 +12348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.489399959,0.063 +12347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.059150644,0.063 +12349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.27959697,0.063 +12350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.623176228,0.063 +12351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.744119999,0.063 +12352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.63396186,0.063 +12354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.465790854,0.063 +12355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.144414321,0.063 +12356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.437531371,0.063 +12357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.329646767,0.063 +12358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.54837604,0.063 +12359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.314637031,0.063 +12353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.330321725,0.063 +12360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.04010026,0.063 +12361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.180024098,0.063 +12362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.290942756,0.063 +12363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.479442378,0.063 +12364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.07916924,0.063 +12366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.6517506,0.063 +12365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.012830517,0.063 +12368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.761330529,0.063 +12367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.690361862,0.063 +12369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.573605566,0.063 +12370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.37902211,0.063 +12372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.19392116,0.063 +12371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.052465475,0.063 +12373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.675852192,0.063 +12374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.568324983,0.063 +12375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.281393347,0.063 +12377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.25832811,0.063 +12378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.281113717,0.063 +12380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.45333618,0.063 +12379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.790198408,0.063 +12381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.029892534,0.063 +12376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.547398202,0.063 +12383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.217324355,0.063 +12385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.159438964,0.063 +12382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.780495291,0.063 +12384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.664829763,0.063 +12386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.576267537,0.063 +12388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.200668244,0.063 +12389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.772093508,0.063 +12387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.041272942,0.063 +12390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.047412647,0.063 +12391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.72617946,0.063 +12392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.475322955,0.063 +12393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.09197788,0.063 +12394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.536166599,0.063 +12395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.824059049,0.063 +12397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.312827645,0.063 +12398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.467504439,0.063 +12400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.264803876,0.063 +12396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.310072847,0.063 +12402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.322873403,0.063 +12399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.331201287,0.063 +12401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.789291653,0.063 +12404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.221368647,0.063 +12403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.00750988,0.063 +12405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.675537108,0.063 +12406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.538063229,0.063 +12407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.18284539,0.063 +12408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.736822921,0.063 +12409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.327920984,0.063 +12410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.21122219,0.063 +12412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.310525171,0.063 +12411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.014545374,0.063 +12413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.077068482,0.063 +12414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.698806862,0.063 +12416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.484171404,0.063 +12418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.734891054,0.063 +12419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.030751249,0.063 +12417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.033672587,0.063 +12420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.151339726,0.063 +12415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.497052737,0.063 +12421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.503306792,0.063 +12422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.375322149,0.063 +12423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.106871516,0.063 +12424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.291871206,0.063 +12425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.727174512,0.063 +12426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.50606602,0.063 +12427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.059487499,0.063 +12428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.125621434,0.063 +12430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.770054625,0.063 +12429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.070318918,0.063 +12431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.365888299,0.063 +12433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.080371611,0.063 +12432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.248326078,0.063 +12434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.320318302,0.063 +12435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.028480554,0.063 +12438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.712216335,0.063 +12437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.5197881,0.063 +12436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.624164278,0.063 +12440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.060695404,0.063 +12441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.317296334,0.063 +12442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.65884804,0.063 +12443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.050666536,0.063 +12439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.353391375,0.063 +12445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.04916514,0.063 +12444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.420975877,0.063 +12446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.133533401,0.063 +12447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.475380186,0.063 +12449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.834338918,0.063 +12451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.833610472,0.063 +12450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.317804419,0.063 +12448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.392355042,0.063 +12452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.041130654,0.063 +12453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.814227784,0.063 +12457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.850375957,0.063 +12458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.554166316,0.063 +12459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.247110923,0.063 +12455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.533704434,0.063 +12454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.203647569,0.063 +12460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.087621903,0.063 +12456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.042511157,0.063 +12461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.312658265,0.063 +12463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.847080954,0.063 +12465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.394636178,0.063 +12464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.447251284,0.063 +12466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.05336423,0.063 +12467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.121419626,0.063 +12462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.537904526,0.063 +12470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.476853636,0.063 +12472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.729011588,0.063 +12471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.713753426,0.063 +12469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.249378202,0.063 +12468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.197951078,0.063 +12473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.119932785,0.063 +12474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.566137816,0.063 +12475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.05619096,0.063 +12476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.073357525,0.063 +12477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.812790314,0.063 +12478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.426247555,0.063 +12479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.327975622,0.063 +12481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.516591604,0.063 +12482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.677068836,0.063 +12480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.008804506,0.063 +12483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.406930304,0.063 +12485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.0266203,0.063 +12484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.03632669,0.063 +12486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.744498743,0.063 +12487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.6124353,0.063 +12488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.048071131,0.063 +12490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.704986323,0.063 +12489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.742757825,0.063 +12491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.476602136,0.063 +12493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.331645767,0.063 +12492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.819695042,0.063 +12495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.715109885,0.063 +12494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.585689978,0.063 +12496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.30664229,0.063 +12498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.607858968,0.063 +12499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.255276862,0.063 +12497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.176625878,0.063 +12500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.760732108,0.063 +12502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.457982778,0.063 +12501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.071956593,0.063 +12503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.725836863,0.063 +12504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.787946263,0.063 +12505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.768756136,0.063 +12506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.74035635,0.063 +12508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.197719056,0.063 +12507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.351411367,0.063 +12509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.588269104,0.063 +12510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.422677478,0.063 +12511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.118371983,0.063 +12513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.263306627,0.063 +12512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.41404905,0.063 +12516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.094197732,0.063 +12517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.507866649,0.063 +12515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.403437823,0.063 +12518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.045547887,0.063 +12514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.660692774,0.063 +12519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.042786933,0.063 +12520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.308820779,0.063 +12521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.239290801,0.063 +12522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.782898919,0.063 +12524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.436079423,0.063 +12525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.053254405,0.063 +12527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.180730232,0.063 +12523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.634259537,0.063 +12526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.246886707,0.063 +12530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.639322199,0.063 +12529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.307558138,0.063 +12531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.77581419,0.063 +12532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.568037173,0.063 +12528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.451163683,0.063 +12534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.77904544,0.063 +12533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.639867066,0.063 +12535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.134526412,0.063 +12536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.029562337,0.063 +12538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.320598443,0.063 +12540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.045765214,0.063 +12537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.260436403,0.063 +12542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.191014928,0.063 +12539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.437447896,0.063 +12541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.346647449,0.063 +12543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.438662397,0.063 +12545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.281410946,0.063 +12544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.678724412,0.063 +12546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.012200753,0.063 +12547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.044771132,0.063 +12548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.443911184,0.063 +12549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.270813473,0.063 +12550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.00599957,0.063 +12553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.254824634,0.063 +12552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.564289193,0.063 +12551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.080530255,0.063 +12555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.716900293,0.063 +12556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.380971734,0.063 +12557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.639865897,0.063 +12554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.434327818,0.063 +12558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.060233146,0.063 +12560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.004258659,0.063 +12561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.437233618,0.063 +12562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.56630241,0.063 +12564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.410304805,0.063 +12563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.231187998,0.063 +12565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.533173339,0.063 +12559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.317905002,0.063 +12566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.047913712,0.063 +12567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.587764938,0.063 +12569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.244684832,0.063 +12570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.102700312,0.063 +12568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,8.53E-04,0.063 +12571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.429457691,0.063 +12572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.575433579,0.063 +12573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.213171457,0.063 +12574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.331412604,0.063 +12575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.346068552,0.063 +12576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.389072657,0.063 +12577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.682950757,0.063 +12579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.521909682,0.063 +12578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.065839685,0.063 +12580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.4682685,0.063 +12581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.27564128,0.063 +12582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.051092787,0.063 +12583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.455474032,0.063 +12584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.727887462,0.063 +12585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.388194436,0.063 +12586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.3931467,0.063 +12587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.442215314,0.063 +12588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.410157893,0.063 +12589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.186793529,0.063 +12590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.638235099,0.063 +12593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.520686891,0.063 +12594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.399243141,0.063 +12591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.588454127,0.063 +12596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.184596962,0.063 +12595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.156517432,0.063 +12592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.172475109,0.063 +12597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.194244069,0.063 +12598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.51872842,0.063 +12600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.583274387,0.063 +12601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.6871244,0.063 +12602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.702709902,0.063 +12599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.044050107,0.063 +12604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.511174006,0.063 +12605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.052088605,0.063 +12603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.209114779,0.063 +12606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.216543833,0.063 +12607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.707064261,0.063 +12610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.38975431,0.063 +12608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.338554495,0.063 +12609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.374687727,0.063 +12612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.203938835,0.063 +12613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.834052411,0.063 +12611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.590912289,0.063 +12614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.18727003,0.063 +12615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.817679138,0.063 +12616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.515165221,0.063 +12617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.413672372,0.063 +12618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.226159781,0.063 +12619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.337927089,0.063 +12621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.550960637,0.063 +12622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.52724686,0.063 +12623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.422417786,0.063 +12624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.615848987,0.063 +12625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.172485671,0.063 +12627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.341851383,0.063 +12620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.69483546,0.063 +12626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.105486292,0.063 +12628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.723500105,0.063 +12629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.573644481,0.063 +12630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.136474921,0.063 +12631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.532735808,0.063 +12632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.718261768,0.063 +12633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.015439022,0.063 +12634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.742608961,0.063 +12635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.380295861,0.063 +12636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.625013077,0.063 +12637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.711595363,0.063 +12638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.701574122,0.063 +12640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.379953384,0.063 +12639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.427485356,0.063 +12643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.268961479,0.063 +12642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.522561152,0.063 +12644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.083276086,0.063 +12641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.754367372,0.063 +12645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.594767884,0.063 +12646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.009623393,0.063 +12647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.39594019,0.063 +12648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.333058202,0.063 +12649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.389975917,0.063 +12652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.242825888,0.063 +12650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.114109749,0.063 +12651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.195152023,0.063 +12653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.75862229,0.063 +12654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.158141706,0.063 +12655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.01911,0.063 +12657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.004527998,0.063 +12656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.107162306,0.063 +12658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.055323077,0.063 +12659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.576210598,0.063 +12660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.72917647,0.063 +12661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.868119925,0.063 +12662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.841650385,0.063 +12663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.001191331,0.063 +12665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.307747677,0.063 +12666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.208094315,0.063 +12664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.024615582,0.063 +12667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.743948854,0.063 +12668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.131600492,0.063 +12669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.098672209,0.063 +12670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.216818815,0.063 +12671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.340800608,0.063 +12672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.457822854,0.063 +12674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.794943312,0.063 +12673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.049961662,0.063 +12675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.17477924,0.063 +12676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.567596786,0.063 +12677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.381095687,0.063 +12679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.339334781,0.063 +12678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.047113119,0.063 +12680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.107312496,0.063 +12682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.442805168,0.063 +12681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.649200771,0.063 +12684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.018379435,0.063 +12685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.33106491,0.063 +12686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.087150049,0.063 +12683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.162197073,0.063 +12687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.02253915,0.063 +12689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.670606049,0.063 +12688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.132921572,0.063 +12691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.076795618,0.063 +12690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.343551703,0.063 +12693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.433743305,0.063 +12692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.747089063,0.063 +12695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.668915096,0.063 +12694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.012401055,0.063 +12696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.111449341,0.063 +12697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.712948958,0.063 +12699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.669016975,0.063 +12698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.239347362,0.063 +12700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.590703603,0.063 +12701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.353920416,0.063 +12702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.726098366,0.063 +12703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.013208133,0.063 +12704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.316672054,0.063 +12705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.689470502,0.063 +12707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.317314839,0.063 +12708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.693204508,0.063 +12709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.248861096,0.063 +12706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.69515832,0.063 +12710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.084864972,0.063 +12711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.142057015,0.063 +12713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.067874564,0.063 +12712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.648016389,0.063 +12715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.23167625,0.063 +12716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.056543597,0.063 +12717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.613705818,0.063 +12718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.285301481,0.063 +12714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.781547525,0.063 +12719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.645043446,0.063 +12720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.663733409,0.063 +12721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.710705918,0.063 +12722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.657505316,0.063 +12723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.084551502,0.063 +12725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.274365545,0.063 +12724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.789163194,0.063 +12726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.254683328,0.063 +12728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.095183342,0.063 +12729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.655839688,0.063 +12730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.208754711,0.063 +12727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.008422871,0.063 +12732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.650196581,0.063 +12731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.236351191,0.063 +12734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.150220852,0.063 +12733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.802882169,0.063 +12735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.684146658,0.063 +12737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,9.90E-04,0.063 +12738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.142212141,0.063 +12740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.039846704,0.063 +12739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.490534805,0.063 +12736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.439261539,0.063 +12741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.07401332,0.063 +12742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.749381906,0.063 +12744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.486365093,0.063 +12747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.404110036,0.063 +12748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.166604597,0.063 +12746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.184434529,0.063 +12749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.75045146,0.063 +12743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.775051209,0.063 +12745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.672957785,0.063 +12751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.698799042,0.063 +12750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.609524237,0.063 +12753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.493977096,0.063 +12754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.46637554,0.063 +12755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.73078558,0.063 +12752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.293496771,0.063 +12756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.773147863,0.063 +12757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.452018761,0.063 +12758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.637737206,0.063 +12759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.396662587,0.063 +12760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.31577606,0.063 +12761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.640408819,0.063 +12762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.307404085,0.063 +12763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.585294115,0.063 +12764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.740500298,0.063 +12766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.520089543,0.063 +12767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.26380593,0.063 +12768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.123923593,0.063 +12769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.473583936,0.063 +12765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.068504461,0.063 +12770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.082185521,0.063 +12771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.125571904,0.063 +12772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.43490209,0.063 +12773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.694516772,0.063 +12774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.294026123,0.063 +12775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.435484962,0.063 +12776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.646788827,0.063 +12780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.656316884,0.063 +12779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.881392368,0.063 +12778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.609178533,0.063 +12777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.058377,0.063 +12781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.648774738,0.063 +12783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.166461139,0.063 +12782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.279669949,0.063 +12785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.669776336,0.063 +12784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.033810725,0.063 +12786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.527916044,0.063 +12787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.248525548,0.063 +12790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.030399136,0.063 +12789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.452985704,0.063 +12791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.590321399,0.063 +12792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.201243164,0.063 +12794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.556106126,0.063 +12793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.256869692,0.063 +12788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.407224571,0.063 +12795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.019820498,0.063 +12796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.143120228,0.063 +12797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.443954729,0.063 +12799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.342616722,0.063 +12800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.430216071,0.063 +12798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.016262965,0.063 +12801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.684358325,0.063 +12802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.114625025,0.063 +12803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.626099459,0.063 +12804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.378238709,0.063 +12805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.4383169,0.063 +12807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.821354935,0.063 +12808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.04189491,0.063 +12806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.12056429,0.063 +12809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.487288915,0.063 +12813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.891130451,0.063 +12810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.233924984,0.063 +12812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.092781071,0.063 +12811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.791247454,0.063 +12814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.351279562,0.063 +12815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.376125136,0.063 +12817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.583159459,0.063 +12816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.100360029,0.063 +12818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.025672953,0.063 +12820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.395226069,0.063 +12821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.338446583,0.063 +12822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.523534794,0.063 +12819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.390882546,0.063 +12823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.45172635,0.063 +12824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.418171861,0.063 +12826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.206965277,0.063 +12827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.530135104,0.063 +12825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.03883077,0.063 +12828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.279467703,0.063 +12830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.211746856,0.063 +12829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.275190267,0.063 +12831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.734963797,0.063 +12832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.189622499,0.063 +12834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.281281392,0.063 +12833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.672606993,0.063 +12835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.599789808,0.063 +12836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.283388267,0.063 +12837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.4596423,0.063 +12839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.13782181,0.063 +12838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.085236899,0.063 +12840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.345129034,0.063 +12842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.578900263,0.063 +12841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.24851324,0.063 +12843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.538430605,0.063 +12844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.01672419,0.063 +12845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.798649231,0.063 +12846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.36183803,0.063 +12848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.512144948,0.063 +12852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.432061176,0.063 +12850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.277139228,0.063 +12851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.006071905,0.063 +12847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.359876233,0.063 +12849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.191991387,0.063 +12853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.154431019,0.063 +12854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.299979803,0.063 +12855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.792633273,0.063 +12856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.376545777,0.063 +12857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.774783288,0.063 +12860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.467477424,0.063 +12859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.597485802,0.063 +12862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.598239807,0.063 +12861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.687024993,0.063 +12858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.153116418,0.063 +12863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.310624477,0.063 +12864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.344630548,0.063 +12865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.239679495,0.063 +12866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.779818172,0.063 +12867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.010369868,0.063 +12868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.622708122,0.063 +12869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.351455377,0.063 +12871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.003771994,0.063 +12870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.601315126,0.063 +12872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.397801726,0.063 +12873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.188783119,0.063 +12874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.66853516,0.063 +12875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.035814353,0.063 +12877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.451855936,0.063 +12876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.255422442,0.063 +12878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.661035801,0.063 +12879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.456168434,0.063 +12881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.105657875,0.063 +12882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.136342754,0.063 +12880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.477177111,0.063 +12883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.734154221,0.063 +12885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.246917997,0.063 +12886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.847482713,0.063 +12888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.369166643,0.063 +12887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.500364301,0.063 +12889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.845177736,0.063 +12884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.396589737,0.063 +12890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.39461937,0.063 +12893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.69515,0.063 +12892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.551951285,0.063 +12894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.680874094,0.063 +12896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.220163404,0.063 +12895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.080640765,0.063 +12897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.402736079,0.063 +12891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.845940131,0.063 +12898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.585480055,0.063 +12899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.672195736,0.063 +12900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.008943453,0.063 +12902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.445071325,0.063 +12903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.382411398,0.063 +12904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.418564299,0.063 +12901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.310112438,0.063 +12906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.777260371,0.063 +12905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.550410814,0.063 +12907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.621806232,0.063 +12908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.088266882,0.063 +12909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.537147627,0.063 +12911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.067757244,0.063 +12910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.4949904,0.063 +12912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.356460522,0.063 +12913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.797706168,0.063 +12915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.848356534,0.063 +12916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.315158366,0.063 +12917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.144783281,0.063 +12914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.63369956,0.063 +12918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.012379036,0.063 +12919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.706865456,0.063 +12921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.531716403,0.063 +12920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.251337417,0.063 +12922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.697480926,0.063 +12923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.693504798,0.063 +12924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.005367976,0.063 +12925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.572870531,0.063 +12928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.304883624,0.063 +12927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.603597694,0.063 +12926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.153836193,0.063 +12929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.832524514,0.063 +12930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.701259467,0.063 +12931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.085351508,0.063 +12932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.367768589,0.063 +12933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.540726309,0.063 +12934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.389253792,0.063 +12935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.143352198,0.063 +12937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.637416239,0.063 +12936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.298993294,0.063 +12938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.521742387,0.063 +12939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.729268518,0.063 +12940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.514070365,0.063 +12942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.156938142,0.063 +12941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.657257216,0.063 +12946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.129225238,0.063 +12945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.412312996,0.063 +12944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.244415765,0.063 +12948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.187441991,0.063 +12947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.640947979,0.063 +12943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.085593447,0.063 +12949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.303547455,0.063 +12950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.463218978,0.063 +12951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.021552774,0.063 +12952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.64469772,0.063 +12953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.535402365,0.063 +12955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.322265623,0.063 +12956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.441715008,0.063 +12954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.121417974,0.063 +12959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.225740134,0.063 +12958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.314335378,0.063 +12957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.068255749,0.063 +12961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.439579365,0.063 +12960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.613219531,0.063 +12962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.674634206,0.063 +12964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.40794806,0.063 +12963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.45418521,0.063 +12967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.018965895,0.063 +12968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.038944421,0.063 +12965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.228090941,0.063 +12966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.235665993,0.063 +12969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.101376909,0.063 +12971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.200425874,0.063 +12970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.116027113,0.063 +12972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.217888027,0.063 +12973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.375872366,0.063 +12975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.011322396,0.063 +12974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.226297718,0.063 +12976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.081955314,0.063 +12978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.431671715,0.063 +12977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.316604054,0.063 +12980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.800983931,0.063 +12979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.265964215,0.063 +12984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.083970179,0.063 +12981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.445252988,0.063 +12982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.84065983,0.063 +12985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.802632258,0.063 +12983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.222157649,0.063 +12986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.236057045,0.063 +12987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.083477714,0.063 +12989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.410628096,0.063 +12988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.480496197,0.063 +12990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.409792266,0.063 +12991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.2822575,0.063 +12993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.599989722,0.063 +12992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,0.103916918,0.063 +12995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.00364577,0.063 +12996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.561951939,0.063 +12997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.047544415,0.063 +12994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.367642993,0.063 +12999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.641097685,0.063 +12998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.009599047,0.063 +13000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.6,10,1,-0.533146144,0.063 +13001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.068395439,0.06 +13002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.368633109,0.06 +13005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.521979369,0.06 +13004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.159638927,0.06 +13007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.355601509,0.06 +13006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.181523452,0.06 +13008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.298303552,0.06 +13009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.507472431,0.06 +13003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.556574514,0.06 +13010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.096767544,0.06 +13012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.002272475,0.06 +13013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.100758494,0.06 +13014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.143954945,0.06 +13015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.785001867,0.06 +13016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.519762394,0.06 +13011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.545440675,0.06 +13017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.801677294,0.06 +13018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.087434696,0.06 +13019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.250842811,0.06 +13021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.755934454,0.06 +13023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.163390952,0.06 +13022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.439242565,0.06 +13024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.368352704,0.06 +13020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.13907257,0.06 +13025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.517264254,0.06 +13026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.040464444,0.06 +13027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.621335563,0.06 +13028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.651961214,0.06 +13030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.603319381,0.06 +13029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.766556767,0.06 +13033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.566504402,0.06 +13032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.262519664,0.06 +13034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.232039008,0.06 +13031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.189624826,0.06 +13036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.455740202,0.06 +13035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.001260896,0.06 +13038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.660566407,0.06 +13037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.746065517,0.06 +13039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.340264887,0.06 +13041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.342044629,0.06 +13040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.131219188,0.06 +13042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.447239219,0.06 +13043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.616037952,0.06 +13044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.549129929,0.06 +13045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.716765267,0.06 +13047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.274081038,0.06 +13046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.192502985,0.06 +13049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.349089949,0.06 +13052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.675534177,0.06 +13048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.261809313,0.06 +13051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.073711669,0.06 +13053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.461490095,0.06 +13054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.651110082,0.06 +13055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.194107385,0.06 +13056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.038532317,0.06 +13050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.073928503,0.06 +13058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.638071088,0.06 +13059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.080901885,0.06 +13057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.490237747,0.06 +13060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.004137498,0.06 +13061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.042874952,0.06 +13062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.357475035,0.06 +13064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.240333709,0.06 +13063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.639311835,0.06 +13065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.617708504,0.06 +13066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.004439696,0.06 +13067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.673144113,0.06 +13068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.740843698,0.06 +13069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.540675982,0.06 +13070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.64539616,0.06 +13071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.38516025,0.06 +13073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.547560791,0.06 +13072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.412254278,0.06 +13075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.110479543,0.06 +13076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.440636433,0.06 +13074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.391575747,0.06 +13077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.680301899,0.06 +13078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.323346523,0.06 +13079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.210919131,0.06 +13080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.719972159,0.06 +13081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.479205319,0.06 +13083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.317739274,0.06 +13084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.308065413,0.06 +13082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.770979841,0.06 +13085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.716396197,0.06 +13086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.284506419,0.06 +13088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.629295541,0.06 +13087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.06696675,0.06 +13090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.613921921,0.06 +13091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.682548322,0.06 +13092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.190800802,0.06 +13089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.091261462,0.06 +13094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.018159039,0.06 +13093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.650155133,0.06 +13095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.781310969,0.06 +13097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.304569271,0.06 +13098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.047052516,0.06 +13099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.394117465,0.06 +13096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.359137153,0.06 +13100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.779312981,0.06 +13101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.090316364,0.06 +13102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.355645624,0.06 +13103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.594485999,0.06 +13104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.494698347,0.06 +13105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.009460376,0.06 +13106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.729705084,0.06 +13107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.672787884,0.06 +13109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.413268621,0.06 +13108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.109753442,0.06 +13110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.621433375,0.06 +13111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.407155453,0.06 +13112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.77992581,0.06 +13115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.576657696,0.06 +13114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.132391739,0.06 +13113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.359626929,0.06 +13116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.406297343,0.06 +13119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.136538682,0.06 +13117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.428539657,0.06 +13120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.655024761,0.06 +13118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.720292891,0.06 +13121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.049042131,0.06 +13123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.025967266,0.06 +13122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.716225995,0.06 +13124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.23183824,0.06 +13126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.479294354,0.06 +13125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.36481541,0.06 +13127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.634423992,0.06 +13128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.650170005,0.06 +13129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.026572221,0.06 +13130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.762197372,0.06 +13131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.03873802,0.06 +13132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.702384186,0.06 +13134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.721643591,0.06 +13135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.122335271,0.06 +13133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.641446984,0.06 +13137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.813218333,0.06 +13138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.042152076,0.06 +13136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.73578183,0.06 +13139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.3896214,0.06 +13140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.432159167,0.06 +13141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.200241709,0.06 +13142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.330508805,0.06 +13144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.515767674,0.06 +13143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.68748366,0.06 +13146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.248393851,0.06 +13148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.357114783,0.06 +13145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.63366519,0.06 +13149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.399284265,0.06 +13147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.475391767,0.06 +13151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.0377264,0.06 +13150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.753855564,0.06 +13152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.683195429,0.06 +13153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.525789374,0.06 +13155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.031181568,0.06 +13156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.782320667,0.06 +13154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.535643888,0.06 +13157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.705883667,0.06 +13159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.657748826,0.06 +13158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.136874641,0.06 +13161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.131607017,0.06 +13162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.348413392,0.06 +13164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.005414198,0.06 +13160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.48591629,0.06 +13163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.371808251,0.06 +13166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.143802572,0.06 +13165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.298774915,0.06 +13167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.137406624,0.06 +13168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.157668841,0.06 +13170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.72207542,0.06 +13169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.484631665,0.06 +13171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.087388552,0.06 +13172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.678288377,0.06 +13174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.57704383,0.06 +13173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.575457428,0.06 +13175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.740336377,0.06 +13176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.796411477,0.06 +13177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.213609022,0.06 +13178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.226478108,0.06 +13181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.667487217,0.06 +13180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.143156966,0.06 +13182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.381313785,0.06 +13183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.624642088,0.06 +13179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.485208145,0.06 +13184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.044324506,0.06 +13185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.557379248,0.06 +13188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.449447616,0.06 +13186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.658529704,0.06 +13187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.408939897,0.06 +13189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.033400225,0.06 +13190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.075517505,0.06 +13191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.68563804,0.06 +13192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.20287505,0.06 +13193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.549014077,0.06 +13194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.7154219,0.06 +13196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.481834958,0.06 +13195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.804410693,0.06 +13197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.679828003,0.06 +13198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.575336012,0.06 +13200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.392532308,0.06 +13201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.813184342,0.06 +13202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.31117306,0.06 +13204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.052238411,0.06 +13199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.487066194,0.06 +13203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.008252498,0.06 +13205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.690261714,0.06 +13206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.264556286,0.06 +13207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.564816839,0.06 +13209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.844134981,0.06 +13210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.306412384,0.06 +13212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.587893821,0.06 +13208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.733239417,0.06 +13211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.794157583,0.06 +13213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.7741772,0.06 +13214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.126116182,0.06 +13216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.541087823,0.06 +13217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.092691371,0.06 +13215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.652612147,0.06 +13219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.008221287,0.06 +13221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.308093897,0.06 +13218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.001947534,0.06 +13222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.332545619,0.06 +13220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.615857709,0.06 +13223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.246552419,0.06 +13224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.450214284,0.06 +13225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.223184057,0.06 +13226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.718961641,0.06 +13228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.465462233,0.06 +13229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.045629017,0.06 +13227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.214234571,0.06 +13230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.488222859,0.06 +13232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.059047655,0.06 +13231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.549421808,0.06 +13234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.218831317,0.06 +13233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.212891852,0.06 +13236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.755519753,0.06 +13235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.469306368,0.06 +13237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.727245964,0.06 +13240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.136301854,0.06 +13242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.755876289,0.06 +13239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.073389108,0.06 +13243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.765401411,0.06 +13241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.30815333,0.06 +13238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.390544197,0.06 +13244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.484133865,0.06 +13245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.044868649,0.06 +13246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.644826083,0.06 +13247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.022470741,0.06 +13248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.21752606,0.06 +13250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.796319597,0.06 +13251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.50657219,0.06 +13249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.049870019,0.06 +13253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.831322995,0.06 +13252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.678845208,0.06 +13256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.43451491,0.06 +13254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.281334984,0.06 +13255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.482227197,0.06 +13257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.617378383,0.06 +13259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.231175354,0.06 +13260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.394143478,0.06 +13261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.451360557,0.06 +13263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.849023417,0.06 +13264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.635883441,0.06 +13262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.352616898,0.06 +13265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.757250499,0.06 +13258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.628955882,0.06 +13267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.76066014,0.06 +13266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.865996319,0.06 +13268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.275911236,0.06 +13269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.37808091,0.06 +13270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.6100938,0.06 +13271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.004454017,0.06 +13272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.318115911,0.06 +13273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.328549661,0.06 +13275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-7.58E-04,0.06 +13274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.203715962,0.06 +13277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.645140786,0.06 +13276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.752295569,0.06 +13278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.443873177,0.06 +13280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.794181637,0.06 +13279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.136750014,0.06 +13282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.02851399,0.06 +13284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.438897011,0.06 +13285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.180391817,0.06 +13283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.749476914,0.06 +13281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.183018269,0.06 +13287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.182623549,0.06 +13286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.119421599,0.06 +13288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.554304085,0.06 +13289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.382664629,0.06 +13292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.278169621,0.06 +13291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.561145237,0.06 +13293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.51794291,0.06 +13294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.396389347,0.06 +13290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.212940074,0.06 +13295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.658901195,0.06 +13296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.339054634,0.06 +13297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.736249702,0.06 +13299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.182264435,0.06 +13298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.001905493,0.06 +13302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.580788537,0.06 +13303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.681085163,0.06 +13301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.497926031,0.06 +13300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.014443589,0.06 +13304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.932403604,0.06 +13306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.445040976,0.06 +13305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.272673404,0.06 +13307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.40205722,0.06 +13309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.700742976,0.06 +13308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.356966535,0.06 +13310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.709431488,0.06 +13311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.252250994,0.06 +13312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.236352656,0.06 +13313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.814114851,0.06 +13314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.146842509,0.06 +13315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.693925665,0.06 +13316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.343177644,0.06 +13317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.738408728,0.06 +13318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.06184411,0.06 +13323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.223579006,0.06 +13322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.76219961,0.06 +13321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.469565176,0.06 +13319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.692824194,0.06 +13320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.418571306,0.06 +13325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.442030547,0.06 +13324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.074803201,0.06 +13326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.260028609,0.06 +13327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.873241492,0.06 +13328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.558960998,0.06 +13329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.410272595,0.06 +13330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.806478811,0.06 +13331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.654325962,0.06 +13332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.553825564,0.06 +13333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.031232858,0.06 +13334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.122099061,0.06 +13336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.417526143,0.06 +13337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.629676101,0.06 +13335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.377617877,0.06 +13340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.727227281,0.06 +13341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.210473336,0.06 +13339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.502063824,0.06 +13342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.63248698,0.06 +13338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.713177404,0.06 +13343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.077484588,0.06 +13345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.067304831,0.06 +13344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.509926554,0.06 +13346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.062412632,0.06 +13347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.687545011,0.06 +13348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.461603983,0.06 +13349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.746471003,0.06 +13350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.33694305,0.06 +13353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.224422261,0.06 +13351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.0070455,0.06 +13352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.538245374,0.06 +13356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.837806992,0.06 +13355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.445100434,0.06 +13354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.014510857,0.06 +13357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.286521395,0.06 +13358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.034461445,0.06 +13361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.777208082,0.06 +13359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.506796718,0.06 +13360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.126486745,0.06 +13362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.701794147,0.06 +13363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.510755518,0.06 +13365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.48039316,0.06 +13364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.76242177,0.06 +13367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.076773942,0.06 +13368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.239287654,0.06 +13369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.061217032,0.06 +13366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.335373316,0.06 +13372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.106008722,0.06 +13370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.35289635,0.06 +13371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.442711812,0.06 +13373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.366308891,0.06 +13375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.665404818,0.06 +13374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.622181257,0.06 +13376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.008336625,0.06 +13377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.215567186,0.06 +13378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.114025569,0.06 +13380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.548429529,0.06 +13381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.664870677,0.06 +13379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.054600286,0.06 +13383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.026495281,0.06 +13382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.035718583,0.06 +13384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.029114997,0.06 +13385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.852536676,0.06 +13386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.735716893,0.06 +13387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.429827115,0.06 +13388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.64459646,0.06 +13389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.020399166,0.06 +13391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.062657413,0.06 +13390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.357942751,0.06 +13392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.164234465,0.06 +13395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.405029182,0.06 +13393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.710425466,0.06 +13394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.100409912,0.06 +13396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.007056744,0.06 +13397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.214463793,0.06 +13398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.635176686,0.06 +13399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.39826108,0.06 +13400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.386041783,0.06 +13401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.375083987,0.06 +13404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.159934877,0.06 +13403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.01522348,0.06 +13405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.637985774,0.06 +13402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.245358574,0.06 +13406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.199777329,0.06 +13407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.570665225,0.06 +13408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.563700507,0.06 +13409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.477789785,0.06 +13410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.68828586,0.06 +13411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.102737292,0.06 +13412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.410952856,0.06 +13413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.241159241,0.06 +13414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.078632514,0.06 +13415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.28422253,0.06 +13417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.29287192,0.06 +13416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.814302579,0.06 +13418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.424772864,0.06 +13419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.609751125,0.06 +13420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.329006425,0.06 +13422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.635410154,0.06 +13421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.703977912,0.06 +13423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.407029796,0.06 +13425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.843599628,0.06 +13424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.56947321,0.06 +13426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.54171594,0.06 +13427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.761650192,0.06 +13428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.288844807,0.06 +13429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.815003062,0.06 +13431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.637172209,0.06 +13430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.864191515,0.06 +13433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.683018825,0.06 +13432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.5089675,0.06 +13434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.584245751,0.06 +13435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.218441241,0.06 +13436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.715621376,0.06 +13437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.746111068,0.06 +13438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.668614422,0.06 +13439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.075362682,0.06 +13440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.024708631,0.06 +13441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.537554953,0.06 +13443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.715692261,0.06 +13442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.843327158,0.06 +13444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.261212667,0.06 +13445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.401476594,0.06 +13446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.409122527,0.06 +13448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.077453088,0.06 +13449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.729567531,0.06 +13447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.457216407,0.06 +13450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.577519941,0.06 +13452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.295175309,0.06 +13451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.762613646,0.06 +13453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.1066272,0.06 +13454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.324002296,0.06 +13455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.481219806,0.06 +13456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.021641263,0.06 +13458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.623839067,0.06 +13457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.256349214,0.06 +13460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.317225328,0.06 +13459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.343398011,0.06 +13461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.454189837,0.06 +13462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.451130626,0.06 +13463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.400174355,0.06 +13464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.071948448,0.06 +13465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.851542289,0.06 +13466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.70554475,0.06 +13468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.173246714,0.06 +13467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.505892062,0.06 +13469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.057675669,0.06 +13473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.284288282,0.06 +13471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.804953941,0.06 +13472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.704736553,0.06 +13470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.375178488,0.06 +13476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.809371541,0.06 +13474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.061196043,0.06 +13475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.589605213,0.06 +13477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.003856201,0.06 +13478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.511369161,0.06 +13479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.779080753,0.06 +13480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.20788114,0.06 +13481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.49294608,0.06 +13482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.353451432,0.06 +13484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.193173339,0.06 +13483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.742013979,0.06 +13485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.112147674,0.06 +13487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.580201032,0.06 +13486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.034252462,0.06 +13488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.346622584,0.06 +13489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.32495984,0.06 +13490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.747558115,0.06 +13491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.480647305,0.06 +13492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.742546879,0.06 +13493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.031548414,0.06 +13495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.319906403,0.06 +13496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.450321162,0.06 +13497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.197406361,0.06 +13498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.525196056,0.06 +13494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.576294631,0.06 +13499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.027789618,0.06 +13501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.451328721,0.06 +13500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.100560632,0.06 +13502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.398194456,0.06 +13504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.700910086,0.06 +13506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.614488066,0.06 +13505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.072021866,0.06 +13503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.210348307,0.06 +13507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.28070734,0.06 +13508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.652410197,0.06 +13509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.233206509,0.06 +13510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.579724818,0.06 +13513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.552033966,0.06 +13511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.536376261,0.06 +13512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.564571653,0.06 +13514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.37541789,0.06 +13516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.604102806,0.06 +13515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.144281887,0.06 +13518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.602208347,0.06 +13520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.593169583,0.06 +13517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.75600633,0.06 +13522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.745126593,0.06 +13519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.254887511,0.06 +13521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.084635039,0.06 +13523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.034884764,0.06 +13524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.002652328,0.06 +13525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.276121824,0.06 +13526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.236315993,0.06 +13528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.331093902,0.06 +13527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.051274374,0.06 +13530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.77518215,0.06 +13529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.196933063,0.06 +13531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.65551316,0.06 +13532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.023402888,0.06 +13534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.825359366,0.06 +13533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.290647507,0.06 +13535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.391735857,0.06 +13536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.034469841,0.06 +13537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.413434197,0.06 +13538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.139537476,0.06 +13539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.025351731,0.06 +13540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.425206271,0.06 +13541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.724473632,0.06 +13543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.218172692,0.06 +13542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.151888301,0.06 +13545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.450769919,0.06 +13546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.581031206,0.06 +13544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.158794041,0.06 +13547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.475228133,0.06 +13548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.561172444,0.06 +13550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.049322258,0.06 +13551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.10670769,0.06 +13549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.02141282,0.06 +13552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.798427728,0.06 +13553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.395159708,0.06 +13554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.157311732,0.06 +13555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.705452956,0.06 +13556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.307275306,0.06 +13557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.205222304,0.06 +13558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.78831843,0.06 +13559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.065011505,0.06 +13560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.584605004,0.06 +13561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.153976735,0.06 +13562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.538949443,0.06 +13563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.75817845,0.06 +13565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.706803593,0.06 +13566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.204969141,0.06 +13567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.023232643,0.06 +13568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.697029508,0.06 +13569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.070038318,0.06 +13564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.653680724,0.06 +13570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.191054183,0.06 +13571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.553543323,0.06 +13573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.646305836,0.06 +13572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.155649441,0.06 +13574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.419454542,0.06 +13575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.403328481,0.06 +13576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.346665584,0.06 +13578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.447800416,0.06 +13577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.739324077,0.06 +13579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.249661821,0.06 +13580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.39316656,0.06 +13581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.103967356,0.06 +13582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.053360329,0.06 +13583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.352789271,0.06 +13584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.035417519,0.06 +13585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.184753076,0.06 +13587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.510301238,0.06 +13586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.060394457,0.06 +13588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-7.70E-05,0.06 +13590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.598966399,0.06 +13591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.401218457,0.06 +13589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.33637906,0.06 +13592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.307597849,0.06 +13593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.8086706,0.06 +13594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.041562021,0.06 +13596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.048164793,0.06 +13595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.380056479,0.06 +13597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.545144447,0.06 +13599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.592470535,0.06 +13598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.075536992,0.06 +13601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.576414318,0.06 +13600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.687887811,0.06 +13602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.361119413,0.06 +13603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.036810496,0.06 +13605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.27751114,0.06 +13604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.351308301,0.06 +13606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.472461226,0.06 +13607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.101548956,0.06 +13609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.647948144,0.06 +13608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.673376716,0.06 +13610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.337817886,0.06 +13612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.158221874,0.06 +13614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.723903281,0.06 +13611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.193173851,0.06 +13615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.520226072,0.06 +13613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.162888879,0.06 +13616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.60975792,0.06 +13617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.068436344,0.06 +13618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.206466272,0.06 +13620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.080393148,0.06 +13619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.021250696,0.06 +13621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.433230381,0.06 +13622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.635948035,0.06 +13623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.810463987,0.06 +13624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.065279602,0.06 +13625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.586551266,0.06 +13626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.21619346,0.06 +13629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.160093704,0.06 +13627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.247100003,0.06 +13628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.29045392,0.06 +13630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.376987178,0.06 +13632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.191609098,0.06 +13631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.091755497,0.06 +13633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.427875212,0.06 +13634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.481298036,0.06 +13636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.066931693,0.06 +13635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.048631416,0.06 +13637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.776299676,0.06 +13638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.209165435,0.06 +13641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.359065546,0.06 +13640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.128895521,0.06 +13639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.569503203,0.06 +13642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.143674639,0.06 +13643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.75947859,0.06 +13645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.388853127,0.06 +13644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.100305131,0.06 +13646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.188125279,0.06 +13647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.451597234,0.06 +13649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.244482906,0.06 +13651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.725257008,0.06 +13650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.17460042,0.06 +13652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.216881845,0.06 +13653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.218806597,0.06 +13648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.566055466,0.06 +13655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.589995393,0.06 +13654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.105899798,0.06 +13657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.052756551,0.06 +13658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.56104345,0.06 +13659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.687277425,0.06 +13660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.465777465,0.06 +13661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.606720257,0.06 +13656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.15530005,0.06 +13662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.645288404,0.06 +13663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.311126063,0.06 +13666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.435960206,0.06 +13664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.026755708,0.06 +13667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.262504566,0.06 +13665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.560858924,0.06 +13669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.680590892,0.06 +13670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.089412834,0.06 +13668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.052908648,0.06 +13672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.087782214,0.06 +13671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.045626297,0.06 +13673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.645462174,0.06 +13675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.289047427,0.06 +13674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.21519789,0.06 +13676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.754337951,0.06 +13677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.511789433,0.06 +13680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.525327124,0.06 +13679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.659687272,0.06 +13678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.020430151,0.06 +13681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.028036323,0.06 +13682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.706876191,0.06 +13683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.636050088,0.06 +13685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.684155104,0.06 +13686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.004916809,0.06 +13687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.260128928,0.06 +13689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.192099289,0.06 +13684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.037471666,0.06 +13691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.709378633,0.06 +13690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.703777381,0.06 +13688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.347936813,0.06 +13692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.376981544,0.06 +13693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.014198609,0.06 +13694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.477213956,0.06 +13695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.132758212,0.06 +13696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.170108773,0.06 +13697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.069430844,0.06 +13698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.157312526,0.06 +13699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.239969968,0.06 +13702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.735181311,0.06 +13700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.418329282,0.06 +13703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.190827562,0.06 +13701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.02619447,0.06 +13704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.172980191,0.06 +13705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.011032037,0.06 +13706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.500486292,0.06 +13707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.4460031,0.06 +13708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.779864139,0.06 +13709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.837200594,0.06 +13710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.380277259,0.06 +13711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.233174367,0.06 +13712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.444289634,0.06 +13713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.095573962,0.06 +13714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.159914808,0.06 +13716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.322633542,0.06 +13717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.42807949,0.06 +13718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.168403419,0.06 +13719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.747955596,0.06 +13715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.057217255,0.06 +13720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.457914501,0.06 +13721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.31843722,0.06 +13722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.624018208,0.06 +13723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.006250892,0.06 +13724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.181111392,0.06 +13725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.053475365,0.06 +13726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.17035545,0.06 +13728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.421242414,0.06 +13729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.165081688,0.06 +13727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.151499524,0.06 +13730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.54876464,0.06 +13731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.060092005,0.06 +13733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.480885318,0.06 +13734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.31971628,0.06 +13732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.42844173,0.06 +13735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.454705328,0.06 +13736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.117950226,0.06 +13737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.388267616,0.06 +13738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.385801203,0.06 +13739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.201470956,0.06 +13740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.135028648,0.06 +13741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.192202266,0.06 +13742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.15802917,0.06 +13743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.551602684,0.06 +13744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.556495267,0.06 +13746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.119812638,0.06 +13747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.64698088,0.06 +13745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.493958949,0.06 +13748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.064972069,0.06 +13749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.268367469,0.06 +13750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.007870764,0.06 +13751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.452964113,0.06 +13752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.553033121,0.06 +13754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.001136718,0.06 +13753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.049130286,0.06 +13756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.317037531,0.06 +13755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.232311892,0.06 +13757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.618315209,0.06 +13758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.681062646,0.06 +13759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.542265996,0.06 +13760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.540817459,0.06 +13762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.587352131,0.06 +13761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.592356413,0.06 +13763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.200340168,0.06 +13765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.145044692,0.06 +13766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.333622377,0.06 +13767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.654428713,0.06 +13764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.518227022,0.06 +13768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.318002372,0.06 +13769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.427338278,0.06 +13770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.764653029,0.06 +13771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.075969836,0.06 +13772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.823747088,0.06 +13773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.158096483,0.06 +13774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.62035179,0.06 +13775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.106596079,0.06 +13776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.192883744,0.06 +13777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.128486454,0.06 +13778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.427406783,0.06 +13780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.639476709,0.06 +13779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.038244263,0.06 +13781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.669810605,0.06 +13782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.4450938,0.06 +13783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.32682823,0.06 +13784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.866509311,0.06 +13785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.366295183,0.06 +13786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.529332694,0.06 +13787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.069310837,0.06 +13789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.715766141,0.06 +13788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.259185311,0.06 +13790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.514894113,0.06 +13791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.586437743,0.06 +13792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.259747613,0.06 +13794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.236646042,0.06 +13793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.075279052,0.06 +13795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.486441875,0.06 +13796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.70386435,0.06 +13797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.599875574,0.06 +13798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.295826286,0.06 +13800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.671721807,0.06 +13799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.312681747,0.06 +13802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.119828455,0.06 +13803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.294849365,0.06 +13801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.28530019,0.06 +13805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.704337179,0.06 +13804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.16571142,0.06 +13806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.291427405,0.06 +13807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.116644031,0.06 +13809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.065664992,0.06 +13810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.503228808,0.06 +13811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.823178155,0.06 +13813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.559175399,0.06 +13814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.428812865,0.06 +13812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.705620869,0.06 +13808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.315648309,0.06 +13815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.30954754,0.06 +13816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.411625485,0.06 +13817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.2031734,0.06 +13819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.591684766,0.06 +13818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.622972672,0.06 +13821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.713135535,0.06 +13820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.013439673,0.06 +13822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.078574323,0.06 +13823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.065356063,0.06 +13824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.06454219,0.06 +13825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.812008601,0.06 +13826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.078839376,0.06 +13827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.038270749,0.06 +13829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.341844764,0.06 +13828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.558130608,0.06 +13831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.634373765,0.06 +13832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.468755656,0.06 +13833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.295514273,0.06 +13830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.05476992,0.06 +13834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.669862454,0.06 +13835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.052476501,0.06 +13837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.678535434,0.06 +13836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.796157321,0.06 +13839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.277385468,0.06 +13838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.154689243,0.06 +13840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.043737472,0.06 +13842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.446056627,0.06 +13841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.817245285,0.06 +13843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.619620918,0.06 +13844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.366093693,0.06 +13847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.524713369,0.06 +13846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.463003863,0.06 +13845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.743960461,0.06 +13848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.566366362,0.06 +13849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.065547674,0.06 +13851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.131360574,0.06 +13852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.058833171,0.06 +13850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.113438025,0.06 +13854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.726201171,0.06 +13855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.085593186,0.06 +13856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.630945138,0.06 +13853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.040984774,0.06 +13857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.097660622,0.06 +13858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.603460299,0.06 +13859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.515623962,0.06 +13861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.546442077,0.06 +13862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.279195044,0.06 +13860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.582478409,0.06 +13864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.771646584,0.06 +13863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.642944065,0.06 +13866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.395254663,0.06 +13867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.524007321,0.06 +13865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.248948838,0.06 +13869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.736339721,0.06 +13872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.150547665,0.06 +13868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.205117847,0.06 +13871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.588810285,0.06 +13873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.288349822,0.06 +13874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.283540929,0.06 +13870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.197854486,0.06 +13875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.525588328,0.06 +13876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.832167305,0.06 +13878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.206338282,0.06 +13877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.745462089,0.06 +13879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.172469156,0.06 +13881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.029004965,0.06 +13882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.566124281,0.06 +13880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.724791964,0.06 +13883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.469151522,0.06 +13884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.599671001,0.06 +13886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.530494001,0.06 +13887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.381616514,0.06 +13885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.331549921,0.06 +13888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.203581167,0.06 +13889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.119174643,0.06 +13890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.407815755,0.06 +13891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.772255388,0.06 +13892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.580590409,0.06 +13893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.28120163,0.06 +13896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.106460529,0.06 +13894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.233046667,0.06 +13895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.707493627,0.06 +13899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.148546829,0.06 +13897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.72363354,0.06 +13898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.053327242,0.06 +13900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.482127224,0.06 +13901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.10408933,0.06 +13902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.633765816,0.06 +13903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.157919642,0.06 +13904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.003118929,0.06 +13908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.649339029,0.06 +13907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.236919847,0.06 +13905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.315156204,0.06 +13909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.474644873,0.06 +13906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.121610394,0.06 +13910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.116958738,0.06 +13911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.66108765,0.06 +13912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.236049123,0.06 +13913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.194066496,0.06 +13914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.246524792,0.06 +13915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.750323298,0.06 +13916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.417734533,0.06 +13917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.005266905,0.06 +13918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.228034716,0.06 +13919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.606530048,0.06 +13920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.010839643,0.06 +13922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.08321615,0.06 +13921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.469684009,0.06 +13923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.490213865,0.06 +13924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.73623665,0.06 +13925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.875504381,0.06 +13927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.202176963,0.06 +13928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.062933806,0.06 +13926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.459662593,0.06 +13929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.687780516,0.06 +13931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.236051823,0.06 +13932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.245808049,0.06 +13930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.506357319,0.06 +13934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.564025778,0.06 +13935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.01657471,0.06 +13936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.256749085,0.06 +13937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.134562365,0.06 +13938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.003171027,0.06 +13933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.242819655,0.06 +13939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.315207933,0.06 +13940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.00561019,0.06 +13942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.384691144,0.06 +13941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.32155561,0.06 +13943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.313682047,0.06 +13947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.625250495,0.06 +13945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.692391515,0.06 +13946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.699086648,0.06 +13944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.128772524,0.06 +13948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.093963474,0.06 +13949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.619941603,0.06 +13950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.689988118,0.06 +13951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.030282513,0.06 +13953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.336308579,0.06 +13952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.350202063,0.06 +13955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.046167341,0.06 +13956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.282740629,0.06 +13957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.275100107,0.06 +13958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.163001015,0.06 +13959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.512482774,0.06 +13960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.071872067,0.06 +13961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.150529098,0.06 +13954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.704412275,0.06 +13962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.188849681,0.06 +13963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.174969993,0.06 +13964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.288606138,0.06 +13965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,0.008845335,0.06 +13966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.414883671,0.06 +13967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.472550374,0.06 +13968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.723259587,0.06 +13969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.602730058,0.06 +13971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.262267922,0.06 +13970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.083607243,0.06 +13972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.507261453,0.06 +13973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.197537704,0.06 +13974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.418319949,0.06 +13975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.44629457,0.06 +13976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.2648765,0.06 +13977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.041001651,0.06 +13978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.133478505,0.06 +13979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.604958053,0.06 +13980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.52571967,0.06 +13981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.205211863,0.06 +13982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.655191104,0.06 +13983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.356199918,0.06 +13984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.545005016,0.06 +13987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.506983946,0.06 +13988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.631741963,0.06 +13985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.435070838,0.06 +13989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.601647923,0.06 +13986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.151774805,0.06 +13990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.458967719,0.06 +13991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.405676862,0.06 +13992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.522176739,0.06 +13993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.052700269,0.06 +13994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.681653363,0.06 +13996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.273105558,0.06 +13995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.617223939,0.06 +13997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.349554976,0.06 +13998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.266309992,0.06 +13999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.753152991,0.06 +14000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.65,10,1,-0.148906357,0.06 +14001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.180198118,0.054 +14002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.117911507,0.054 +14004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.47199235,0.054 +14005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.413809198,0.054 +14006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.01126665,0.054 +14007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.630103592,0.054 +14008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.713952634,0.054 +14003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.584740918,0.054 +14009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.589851679,0.054 +14010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.124974602,0.054 +14011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.25843376,0.054 +14012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.039502673,0.054 +14013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.360922555,0.054 +14014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.557435622,0.054 +14015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.499620483,0.054 +14016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.136494412,0.054 +14019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.712650395,0.054 +14017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.042475002,0.054 +14020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.492317577,0.054 +14021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.396765011,0.054 +14018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.578952226,0.054 +14022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.143223831,0.054 +14023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.167626228,0.054 +14024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.666563096,0.054 +14025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.44531782,0.054 +14026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.932884475,0.054 +14027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.576250058,0.054 +14029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.231263382,0.054 +14028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.38969945,0.054 +14030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.240923031,0.054 +14031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.042251959,0.054 +14033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.087096483,0.054 +14034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.100277221,0.054 +14032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.452938243,0.054 +14036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.649128293,0.054 +14037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.63329094,0.054 +14035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.439681501,0.054 +14038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.26686349,0.054 +14039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.615258554,0.054 +14040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.755977463,0.054 +14042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.276601955,0.054 +14041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.316872317,0.054 +14045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.608539727,0.054 +14043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.069905919,0.054 +14046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.188293152,0.054 +14044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.119140274,0.054 +14047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.231201703,0.054 +14048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.459664289,0.054 +14050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.26195897,0.054 +14051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.24083892,0.054 +14049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.391072789,0.054 +14052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.655259881,0.054 +14053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.623919806,0.054 +14054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.580956551,0.054 +14055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.728619994,0.054 +14056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.797970416,0.054 +14057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.543648077,0.054 +14058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.405794733,0.054 +14059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.395199259,0.054 +14060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.827420636,0.054 +14061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.807307308,0.054 +14062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.707759534,0.054 +14063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.395509504,0.054 +14064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.420760467,0.054 +14066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.060721649,0.054 +14068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.734159369,0.054 +14065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.426150868,0.054 +14069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.769481157,0.054 +14067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.635134493,0.054 +14070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.028874115,0.054 +14071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.023000553,0.054 +14073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.462243619,0.054 +14074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.334978,0.054 +14072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.148346227,0.054 +14075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.425816281,0.054 +14076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.287136236,0.054 +14077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.506060672,0.054 +14078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.40924765,0.054 +14079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.613753577,0.054 +14084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.640136695,0.054 +14080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.028449453,0.054 +14083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.543190578,0.054 +14082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.521668292,0.054 +14081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.446629208,0.054 +14085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.018062842,0.054 +14087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.611889914,0.054 +14086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.478134267,0.054 +14088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.670868071,0.054 +14089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.377868606,0.054 +14090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.812045708,0.054 +14092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.09670134,0.054 +14091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.456467191,0.054 +14093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.197502378,0.054 +14094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.823354474,0.054 +14095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.176680155,0.054 +14098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.50285835,0.054 +14100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.740823728,0.054 +14099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.760440209,0.054 +14097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.471679983,0.054 +14101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.215086442,0.054 +14096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.698726364,0.054 +14102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.773396727,0.054 +14103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.004752029,0.054 +14104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.704668271,0.054 +14106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.309456818,0.054 +14105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.051430491,0.054 +14107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.523660458,0.054 +14109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.558058661,0.054 +14108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.481356122,0.054 +14110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.095153565,0.054 +14111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.212589415,0.054 +14112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.783495667,0.054 +14113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.59063014,0.054 +14114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.423592875,0.054 +14117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.827664146,0.054 +14115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.169899437,0.054 +14118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.510427612,0.054 +14116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.172784103,0.054 +14119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.556601429,0.054 +14120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.071634709,0.054 +14124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.154519371,0.054 +14121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.557772577,0.054 +14122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.772274118,0.054 +14126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.097880168,0.054 +14123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.628922599,0.054 +14125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.211682326,0.054 +14127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.270808676,0.054 +14131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.617700482,0.054 +14129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.674397257,0.054 +14130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.171669479,0.054 +14128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.356335542,0.054 +14132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.122061195,0.054 +14133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.62227586,0.054 +14134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.018419747,0.054 +14137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.163589867,0.054 +14136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.703640819,0.054 +14139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.108280157,0.054 +14140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.038875798,0.054 +14141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.324565832,0.054 +14142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.603419944,0.054 +14138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.389592944,0.054 +14135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.616309878,0.054 +14143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.711186906,0.054 +14146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.06505808,0.054 +14145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.377168711,0.054 +14148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.291507451,0.054 +14147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.340468139,0.054 +14149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.6116229,0.054 +14144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.839748525,0.054 +14150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.816203044,0.054 +14151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.139089347,0.054 +14153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.738912013,0.054 +14156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.070025385,0.054 +14154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.41342277,0.054 +14155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.411266686,0.054 +14157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.031731559,0.054 +14152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.268858147,0.054 +14158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.674923595,0.054 +14159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.764194794,0.054 +14161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.635165572,0.054 +14162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.180744398,0.054 +14160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.800404147,0.054 +14164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.170078196,0.054 +14163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.028961703,0.054 +14165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.247388815,0.054 +14166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.779179361,0.054 +14167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.162152768,0.054 +14168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.374974693,0.054 +14169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.184727522,0.054 +14170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.031092198,0.054 +14171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.472842874,0.054 +14172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.08465987,0.054 +14174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.018482213,0.054 +14173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.74358713,0.054 +14175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.578853152,0.054 +14176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.073822959,0.054 +14178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.515782978,0.054 +14177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.682027783,0.054 +14179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.155907422,0.054 +14180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.674739723,0.054 +14182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.673018475,0.054 +14183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.495134429,0.054 +14184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.738625868,0.054 +14185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.377563485,0.054 +14186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.274312292,0.054 +14181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.53327519,0.054 +14188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.365625872,0.054 +14189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.107075366,0.054 +14187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.670327743,0.054 +14192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.565996295,0.054 +14191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.850862443,0.054 +14193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.521503982,0.054 +14195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.737752193,0.054 +14190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.106155563,0.054 +14194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.474836763,0.054 +14196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.094387186,0.054 +14197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.785792158,0.054 +14198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.552064312,0.054 +14199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.56172104,0.054 +14200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.212106352,0.054 +14201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.086050466,0.054 +14202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.715977937,0.054 +14203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.531914925,0.054 +14204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.264612914,0.054 +14205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.790396994,0.054 +14206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.44039845,0.054 +14207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.011152792,0.054 +14208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.077201147,0.054 +14209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.098455407,0.054 +14210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.019717816,0.054 +14212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.484674857,0.054 +14211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.17949012,0.054 +14213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.521335281,0.054 +14215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.730530723,0.054 +14218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.62665955,0.054 +14216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.015468629,0.054 +14219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.491269856,0.054 +14214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.105308965,0.054 +14217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.025815192,0.054 +14220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.205901344,0.054 +14221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.604798811,0.054 +14222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.053539133,0.054 +14223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.084348811,0.054 +14224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.247342473,0.054 +14225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.531583419,0.054 +14226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.048567375,0.054 +14227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.762676314,0.054 +14229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.530290555,0.054 +14230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.533707193,0.054 +14231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.70991185,0.054 +14232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.614313425,0.054 +14228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.068377477,0.054 +14235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.668868356,0.054 +14233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.364514123,0.054 +14236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.102772808,0.054 +14234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.506957951,0.054 +14237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.129121744,0.054 +14238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.064090982,0.054 +14239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.337691432,0.054 +14240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.206164043,0.054 +14241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.181382083,0.054 +14242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.520746389,0.054 +14244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.400612211,0.054 +14243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.225196794,0.054 +14245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.019537166,0.054 +14246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.441472974,0.054 +14247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.742733859,0.054 +14249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.594037932,0.054 +14248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.601941154,0.054 +14251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.121429706,0.054 +14252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.738078913,0.054 +14250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.016725226,0.054 +14253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.214496863,0.054 +14254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.472641553,0.054 +14255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.236089432,0.054 +14257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.055317468,0.054 +14256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.030191215,0.054 +14258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.519027798,0.054 +14259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.068047827,0.054 +14260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.045989602,0.054 +14261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.319175164,0.054 +14262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.633775229,0.054 +14263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.490339496,0.054 +14265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.085339829,0.054 +14264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.785484251,0.054 +14266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.784983751,0.054 +14268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.664509892,0.054 +14267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.70890509,0.054 +14269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.355230312,0.054 +14270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.286895549,0.054 +14271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.350398192,0.054 +14272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.634975407,0.054 +14273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.69430982,0.054 +14274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.379808471,0.054 +14276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.203440025,0.054 +14275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.399387374,0.054 +14277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.656235059,0.054 +14278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.713913109,0.054 +14279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.561276761,0.054 +14280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.625998987,0.054 +14281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.06343982,0.054 +14282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.358224558,0.054 +14285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.572587915,0.054 +14283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.575878606,0.054 +14286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.029767345,0.054 +14284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.778799133,0.054 +14287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.505677457,0.054 +14288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.014863723,0.054 +14290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.397417125,0.054 +14291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.052770094,0.054 +14292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.732244657,0.054 +14289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.404714829,0.054 +14293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.499716327,0.054 +14294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.088828541,0.054 +14295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.709796784,0.054 +14296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.06790862,0.054 +14297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.811290622,0.054 +14299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.532042371,0.054 +14300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.674692981,0.054 +14298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.673431372,0.054 +14301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.017731699,0.054 +14302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.157414439,0.054 +14303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.710154037,0.054 +14304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.153000161,0.054 +14305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.152379889,0.054 +14306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.291726044,0.054 +14309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.762873157,0.054 +14310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.393755953,0.054 +14308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.418957123,0.054 +14307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.260094577,0.054 +14312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.141215402,0.054 +14311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.02471714,0.054 +14313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.077825555,0.054 +14314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.059789428,0.054 +14315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.712462143,0.054 +14316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.388554067,0.054 +14317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.445577264,0.054 +14318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.951957966,0.054 +14319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.386296318,0.054 +14320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.050978474,0.054 +14321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.719029953,0.054 +14322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.603047424,0.054 +14323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.393114418,0.054 +14325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.695616407,0.054 +14324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.23466732,0.054 +14327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.628478917,0.054 +14328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.157928092,0.054 +14326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.61512909,0.054 +14329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.496873219,0.054 +14331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.543185123,0.054 +14330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.561895743,0.054 +14333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.01241432,0.054 +14332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.151879326,0.054 +14334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.777328867,0.054 +14336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.690620841,0.054 +14338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.722829772,0.054 +14337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.048963765,0.054 +14335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.070828564,0.054 +14339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.415708583,0.054 +14341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.687091619,0.054 +14340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.252306688,0.054 +14342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.76652618,0.054 +14343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.530462674,0.054 +14345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.638025938,0.054 +14344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.487539364,0.054 +14346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.009206742,0.054 +14347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.382197115,0.054 +14348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.45850047,0.054 +14349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.174063458,0.054 +14350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.07039132,0.054 +14352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.774055684,0.054 +14353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.318663714,0.054 +14351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.381815204,0.054 +14356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.628013711,0.054 +14355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.346087284,0.054 +14357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.560793052,0.054 +14354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.754650516,0.054 +14358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.59796283,0.054 +14359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.008070514,0.054 +14360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.645241916,0.054 +14362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.812005375,0.054 +14361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.125478944,0.054 +14363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.668335579,0.054 +14366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.266023574,0.054 +14365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.851569921,0.054 +14364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.61702891,0.054 +14368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.721898503,0.054 +14367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.494819067,0.054 +14371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.292071025,0.054 +14373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.067787326,0.054 +14369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.301715631,0.054 +14372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.271867569,0.054 +14370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.445574836,0.054 +14374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.483913794,0.054 +14375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.684500637,0.054 +14376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.126334923,0.054 +14377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.460243325,0.054 +14379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.538491583,0.054 +14380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.261204335,0.054 +14381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.490241397,0.054 +14378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.346098314,0.054 +14382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.704732127,0.054 +14383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.040379815,0.054 +14385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.410589566,0.054 +14387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.122524069,0.054 +14384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.701526714,0.054 +14386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.727987488,0.054 +14389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.653637246,0.054 +14388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.655721665,0.054 +14390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.428769408,0.054 +14393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.302315859,0.054 +14391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.444972242,0.054 +14392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.455737124,0.054 +14394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.4074988,0.054 +14395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.413132609,0.054 +14396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.558143549,0.054 +14397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.557184378,0.054 +14398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.523235424,0.054 +14401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.722081815,0.054 +14400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.704645927,0.054 +14399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.077219429,0.054 +14402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.728754196,0.054 +14403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.483969317,0.054 +14404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.516112241,0.054 +14405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.543992488,0.054 +14406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.395446702,0.054 +14408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.204910414,0.054 +14407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.018574826,0.054 +14409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.395475346,0.054 +14411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.537834442,0.054 +14410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.844234144,0.054 +14412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.102933605,0.054 +14414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.224621103,0.054 +14413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.02144672,0.054 +14415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.004049284,0.054 +14416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.11665722,0.054 +14417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.137580462,0.054 +14418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.161626027,0.054 +14419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.011407633,0.054 +14420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.085838453,0.054 +14422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.040775758,0.054 +14423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.909098119,0.054 +14424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.501513979,0.054 +14421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.772462128,0.054 +14425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.408348318,0.054 +14426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.568870202,0.054 +14427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.012202315,0.054 +14428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.654447927,0.054 +14432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.569751159,0.054 +14429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.544068622,0.054 +14434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.819757697,0.054 +14433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.161639179,0.054 +14435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.336080434,0.054 +14430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.479616005,0.054 +14431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.282529919,0.054 +14436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.176764935,0.054 +14437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.702592595,0.054 +14438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.569216847,0.054 +14441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.031879972,0.054 +14440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.55760037,0.054 +14439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.334450949,0.054 +14442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.101962817,0.054 +14443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.090274302,0.054 +14444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.495885161,0.054 +14445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.292922318,0.054 +14448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.564729171,0.054 +14447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.057661489,0.054 +14449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.008246263,0.054 +14450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.40232477,0.054 +14451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.353022724,0.054 +14446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.392236234,0.054 +14452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.383671725,0.054 +14453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.740870889,0.054 +14454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.55965028,0.054 +14455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.385084353,0.054 +14456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.802845672,0.054 +14457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.271819732,0.054 +14458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.681398335,0.054 +14459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.613980804,0.054 +14460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.220572331,0.054 +14461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.753160807,0.054 +14462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.173331212,0.054 +14463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.721525568,0.054 +14465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.114744534,0.054 +14466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.522582277,0.054 +14464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.245515449,0.054 +14467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.246105189,0.054 +14468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.076102369,0.054 +14469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.598741531,0.054 +14470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.705868919,0.054 +14471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.157359737,0.054 +14472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.152915938,0.054 +14473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.551532444,0.054 +14474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.769910522,0.054 +14475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.619313054,0.054 +14476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.059294313,0.054 +14477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.756477314,0.054 +14478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.146063094,0.054 +14479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.33958186,0.054 +14480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.198529593,0.054 +14481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.070061355,0.054 +14482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.436523542,0.054 +14483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.247630679,0.054 +14484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.289284639,0.054 +14485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.41647544,0.054 +14486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.242042252,0.054 +14487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.442969186,0.054 +14488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.161750657,0.054 +14490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.614718297,0.054 +14489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.302727228,0.054 +14492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.792095995,0.054 +14493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.539317354,0.054 +14491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.160369881,0.054 +14494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.144184176,0.054 +14495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.527266311,0.054 +14496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.338159282,0.054 +14497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.383805325,0.054 +14498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.767640178,0.054 +14499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.05055616,0.054 +14500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.076744664,0.054 +14501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.103528231,0.054 +14502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.309948108,0.054 +14503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.242653892,0.054 +14504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.30947876,0.054 +14506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.580479484,0.054 +14505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.046059644,0.054 +14507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.34313691,0.054 +14508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.612618541,0.054 +14510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.336705623,0.054 +14509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.509539204,0.054 +14511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.19628834,0.054 +14512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.687881742,0.054 +14514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.047813454,0.054 +14513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.219992222,0.054 +14515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.595112621,0.054 +14516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.121948677,0.054 +14517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.225961018,0.054 +14518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.492556929,0.054 +14519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.303054219,0.054 +14520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.439563241,0.054 +14522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.659165999,0.054 +14521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.874650458,0.054 +14523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.652276502,0.054 +14524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.274658367,0.054 +14525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.034827177,0.054 +14527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.230987618,0.054 +14530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.046090701,0.054 +14528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.067116513,0.054 +14526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.351346565,0.054 +14529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.070936192,0.054 +14533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.00312281,0.054 +14532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.174752899,0.054 +14531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.751132891,0.054 +14534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.58977102,0.054 +14536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.189029254,0.054 +14537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.36580895,0.054 +14535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.052969476,0.054 +14538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.002221469,0.054 +14541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.387111655,0.054 +14539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.372776953,0.054 +14540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.215850725,0.054 +14542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.122794263,0.054 +14543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.055965741,0.054 +14545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.6023762,0.054 +14547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.104515422,0.054 +14544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.089238635,0.054 +14546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.735128076,0.054 +14548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.046247292,0.054 +14549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.754668812,0.054 +14550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.305705667,0.054 +14551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.644354868,0.054 +14552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.518294024,0.054 +14554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.003987675,0.054 +14555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.439635999,0.054 +14556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.08806896,0.054 +14553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.737034223,0.054 +14557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.72905062,0.054 +14558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.70037382,0.054 +14559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.817707865,0.054 +14560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.218901832,0.054 +14562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.634647238,0.054 +14563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.088588218,0.054 +14564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.201165857,0.054 +14565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.430540948,0.054 +14566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.085801624,0.054 +14561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.454007518,0.054 +14568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.363128051,0.054 +14567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.566299471,0.054 +14569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.786544009,0.054 +14570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.672573639,0.054 +14572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.820643712,0.054 +14571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.211012462,0.054 +14573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.478404012,0.054 +14575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.016399553,0.054 +14574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.599860586,0.054 +14576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.482054372,0.054 +14578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.528043119,0.054 +14577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.023962873,0.054 +14579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.311032899,0.054 +14581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.101787231,0.054 +14580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.496878335,0.054 +14584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.456976365,0.054 +14583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.014363453,0.054 +14585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.589543776,0.054 +14586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.740930874,0.054 +14582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.689570796,0.054 +14587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.415571814,0.054 +14588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.195157594,0.054 +14589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.582407654,0.054 +14590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.504909333,0.054 +14593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.043156995,0.054 +14592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.20525119,0.054 +14594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.824985771,0.054 +14591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.337161699,0.054 +14595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.248391828,0.054 +14596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.029543771,0.054 +14597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.399867496,0.054 +14598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.487781218,0.054 +14599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.156786791,0.054 +14600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.637948823,0.054 +14602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.534703941,0.054 +14601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.691568676,0.054 +14603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.802048757,0.054 +14604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.667258865,0.054 +14607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.637740336,0.054 +14605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.764988074,0.054 +14608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.046113908,0.054 +14610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.525630648,0.054 +14606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.663124407,0.054 +14609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.564772449,0.054 +14611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.35886241,0.054 +14613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.011464806,0.054 +14614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.401798864,0.054 +14612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.400114299,0.054 +14615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.423683897,0.054 +14617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.53315,0.054 +14616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.419282969,0.054 +14618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.522467788,0.054 +14619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.219255102,0.054 +14620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.580965474,0.054 +14621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.476804915,0.054 +14622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.288686004,0.054 +14623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.20477491,0.054 +14625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.471461982,0.054 +14624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.628870692,0.054 +14626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.013378228,0.054 +14628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.51198254,0.054 +14629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.189047017,0.054 +14630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.507059188,0.054 +14631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.558133379,0.054 +14632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.163824287,0.054 +14627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.077761198,0.054 +14633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.810163835,0.054 +14636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.482403896,0.054 +14635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.304414562,0.054 +14637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.126539891,0.054 +14634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.273698546,0.054 +14639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.636991088,0.054 +14638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.270877818,0.054 +14641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.795410864,0.054 +14640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.001023811,0.054 +14642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.051247331,0.054 +14644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.447660541,0.054 +14646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.759996456,0.054 +14645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.762132141,0.054 +14647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.267479525,0.054 +14643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.620495313,0.054 +14648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.19778331,0.054 +14649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.620553691,0.054 +14650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.092701436,0.054 +14652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.64004046,0.054 +14653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.495495342,0.054 +14654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.628985844,0.054 +14651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.080843692,0.054 +14655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.469446438,0.054 +14656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.740270672,0.054 +14658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.541297875,0.054 +14657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.752047305,0.054 +14660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.542860411,0.054 +14661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.40479287,0.054 +14662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.336349777,0.054 +14659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.093963265,0.054 +14663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.530619201,0.054 +14664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.043196218,0.054 +14665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.338839531,0.054 +14667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.362159557,0.054 +14666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.446091581,0.054 +14668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.653171118,0.054 +14670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.674870038,0.054 +14671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.678543034,0.054 +14669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.123268608,0.054 +14672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.111549013,0.054 +14673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.200781366,0.054 +14675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.146374372,0.054 +14676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.624533257,0.054 +14674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.089912339,0.054 +14678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.274208539,0.054 +14679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.542795334,0.054 +14677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.636525833,0.054 +14680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.107762942,0.054 +14681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.13187708,0.054 +14683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.234188991,0.054 +14684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.717935885,0.054 +14682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.261651806,0.054 +14687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.658277117,0.054 +14686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.684789482,0.054 +14685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.604667681,0.054 +14688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.132328885,0.054 +14689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.587164895,0.054 +14690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.024721244,0.054 +14692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.744610367,0.054 +14693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.091508841,0.054 +14694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.030108344,0.054 +14695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.279161366,0.054 +14691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.189473056,0.054 +14696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.033521669,0.054 +14698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.217501438,0.054 +14697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.684140472,0.054 +14700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.12220771,0.054 +14699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.29608686,0.054 +14701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.282851406,0.054 +14702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.052851103,0.054 +14703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.64825963,0.054 +14706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.101919353,0.054 +14704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.228963693,0.054 +14705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.56309552,0.054 +14707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.035637894,0.054 +14710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.738481273,0.054 +14708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.165147467,0.054 +14709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.179190409,0.054 +14712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.360869616,0.054 +14714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.621563283,0.054 +14713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.390237588,0.054 +14711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,6.40E-04,0.054 +14716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.194844558,0.054 +14715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.693506504,0.054 +14717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.599089599,0.054 +14718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.594115027,0.054 +14720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.768381476,0.054 +14719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.802044599,0.054 +14722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.730327093,0.054 +14721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.228418635,0.054 +14724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.684887649,0.054 +14723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.303815535,0.054 +14726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.329012728,0.054 +14725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.324748112,0.054 +14728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.680620487,0.054 +14727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.271526742,0.054 +14730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.257680598,0.054 +14729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.406770841,0.054 +14732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.094628043,0.054 +14731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.23330161,0.054 +14733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.356461917,0.054 +14736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.533564658,0.054 +14738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.149332673,0.054 +14735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.632585558,0.054 +14739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.313448437,0.054 +14740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.5486257,0.054 +14737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.645847144,0.054 +14734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.078524841,0.054 +14741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.72987686,0.054 +14742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.708758369,0.054 +14743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.042818312,0.054 +14744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.101344365,0.054 +14745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.372211618,0.054 +14746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.061757939,0.054 +14747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.449549862,0.054 +14748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.585897945,0.054 +14749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.739647814,0.054 +14750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.497690632,0.054 +14751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.594182885,0.054 +14753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.389635473,0.054 +14752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.016017037,0.054 +14755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.220976432,0.054 +14754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.432720465,0.054 +14756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.049446689,0.054 +14757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.754373818,0.054 +14758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.505415702,0.054 +14760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.085825639,0.054 +14759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.648597271,0.054 +14761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.400875168,0.054 +14762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.76598627,0.054 +14763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.431823684,0.054 +14765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.039531186,0.054 +14766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.665927326,0.054 +14767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.338005544,0.054 +14768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.466183902,0.054 +14769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.332640727,0.054 +14764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.417989236,0.054 +14770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.741533147,0.054 +14771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.137098142,0.054 +14773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.458515596,0.054 +14774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.750128968,0.054 +14775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.688009672,0.054 +14772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.265167764,0.054 +14777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.186442809,0.054 +14776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.288862447,0.054 +14778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.570614681,0.054 +14779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.779404204,0.054 +14781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.351856706,0.054 +14780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.816623036,0.054 +14783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.391534387,0.054 +14782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.678858549,0.054 +14785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.535742223,0.054 +14784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.128652978,0.054 +14786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.559232571,0.054 +14787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.606595682,0.054 +14790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.017461663,0.054 +14791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.11961228,0.054 +14789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.336936013,0.054 +14788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.37065637,0.054 +14794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.786050473,0.054 +14792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.331417001,0.054 +14795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.79953907,0.054 +14793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.505486008,0.054 +14796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.104635596,0.054 +14799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.653209165,0.054 +14798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.762653012,0.054 +14797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.073753244,0.054 +14801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.565889952,0.054 +14800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.689731866,0.054 +14802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.34022583,0.054 +14803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.636459712,0.054 +14804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.484448614,0.054 +14806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.083142801,0.054 +14807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.519789728,0.054 +14808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.240207689,0.054 +14809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.686946652,0.054 +14805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.360916295,0.054 +14810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.04134982,0.054 +14812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.341855472,0.054 +14811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.178570964,0.054 +14813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.144196377,0.054 +14815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.533802859,0.054 +14814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.040744207,0.054 +14816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.789671684,0.054 +14817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.058250045,0.054 +14818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.433763496,0.054 +14820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.550049361,0.054 +14819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.774428819,0.054 +14821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.383041377,0.054 +14822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.155962989,0.054 +14823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.196926876,0.054 +14825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.099226037,0.054 +14824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.711498735,0.054 +14826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.463768822,0.054 +14828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.453424463,0.054 +14827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.61870054,0.054 +14830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.228425853,0.054 +14831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.721082097,0.054 +14833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.082457494,0.054 +14832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.571089673,0.054 +14829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.007682928,0.054 +14834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.687496069,0.054 +14836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.749137962,0.054 +14837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.734675498,0.054 +14840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.709383946,0.054 +14841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.366206205,0.054 +14839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.411194612,0.054 +14835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.500260642,0.054 +14838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.519632172,0.054 +14842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.758395573,0.054 +14843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.435543625,0.054 +14844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.271784959,0.054 +14848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.484960913,0.054 +14847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.007931892,0.054 +14849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.129142066,0.054 +14845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.502503999,0.054 +14846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.736526733,0.054 +14850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.167050626,0.054 +14851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.425998625,0.054 +14853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.358023326,0.054 +14855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.778134681,0.054 +14856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.507109672,0.054 +14854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.120200873,0.054 +14857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.720978677,0.054 +14852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.602789769,0.054 +14858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.41061464,0.054 +14859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.737835552,0.054 +14861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.780640193,0.054 +14860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.29755273,0.054 +14862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.421775743,0.054 +14863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.659216868,0.054 +14864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.617925874,0.054 +14866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.38822602,0.054 +14865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.290754654,0.054 +14867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.003839723,0.054 +14869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.607571089,0.054 +14871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.347364766,0.054 +14868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.1047474,0.054 +14872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.114063893,0.054 +14870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.027940145,0.054 +14873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.231458884,0.054 +14874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.421506936,0.054 +14875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.332140754,0.054 +14876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.684314284,0.054 +14879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.031418713,0.054 +14877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.621226286,0.054 +14880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.553557686,0.054 +14878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.088402786,0.054 +14881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.810456951,0.054 +14882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.39536358,0.054 +14883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.441086654,0.054 +14884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.523814764,0.054 +14885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.251117432,0.054 +14886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.243059968,0.054 +14888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.775370572,0.054 +14887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.128569472,0.054 +14889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.481203569,0.054 +14891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.787316588,0.054 +14892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.210789194,0.054 +14890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.048963646,0.054 +14896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.098400489,0.054 +14893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.022787349,0.054 +14894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.69630701,0.054 +14897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.004149724,0.054 +14895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.116578213,0.054 +14898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.82637139,0.054 +14899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.189149865,0.054 +14902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.069067509,0.054 +14900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.461033462,0.054 +14901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.038938839,0.054 +14903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.072870766,0.054 +14904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.058172126,0.054 +14905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.555219828,0.054 +14906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.265176117,0.054 +14908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.776321418,0.054 +14911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.028634283,0.054 +14909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.529710015,0.054 +14913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.390552345,0.054 +14910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.193384148,0.054 +14912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.552139724,0.054 +14907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.159310648,0.054 +14915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.062709582,0.054 +14914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.390208735,0.054 +14916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.070810071,0.054 +14917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.457488085,0.054 +14918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.154758244,0.054 +14920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.721418613,0.054 +14919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.195851198,0.054 +14921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.753112049,0.054 +14922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.182890958,0.054 +14923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.234478651,0.054 +14924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.226403288,0.054 +14925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.298719271,0.054 +14926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.778090783,0.054 +14927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.199965933,0.054 +14928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.463169353,0.054 +14930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.098708876,0.054 +14929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.432108805,0.054 +14932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.41571492,0.054 +14931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.608629822,0.054 +14934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.176808122,0.054 +14933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.014264058,0.054 +14935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.358299787,0.054 +14936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.241493297,0.054 +14938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.113880174,0.054 +14937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.602742635,0.054 +14940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.358438881,0.054 +14939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.796222216,0.054 +14941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.285322138,0.054 +14942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.783565377,0.054 +14943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.641634922,0.054 +14944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.681735354,0.054 +14945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.314173199,0.054 +14946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.722017235,0.054 +14948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.098839626,0.054 +14947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.201282815,0.054 +14949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.506973263,0.054 +14951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.243865307,0.054 +14952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.200259084,0.054 +14950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.083376947,0.054 +14954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.261490136,0.054 +14953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.225137427,0.054 +14956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.056960405,0.054 +14955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.109529261,0.054 +14957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.674195239,0.054 +14958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.080798012,0.054 +14959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.303137675,0.054 +14961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.246345942,0.054 +14962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.284074619,0.054 +14963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.125269444,0.054 +14964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.006998672,0.054 +14960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.02672014,0.054 +14965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.100759643,0.054 +14966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.350187226,0.054 +14967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.258299516,0.054 +14968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.22821149,0.054 +14969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.27630882,0.054 +14970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.225273887,0.054 +14971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.004787588,0.054 +14972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.171064913,0.054 +14973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.192267135,0.054 +14974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.409150875,0.054 +14975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.435883192,0.054 +14977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.81930389,0.054 +14976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.435016164,0.054 +14978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.541067593,0.054 +14979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.328225705,0.054 +14981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.262375715,0.054 +14982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.209983854,0.054 +14983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.24711476,0.054 +14980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.600922878,0.054 +14984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,0.100931957,0.054 +14985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.616549147,0.054 +14987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.797585214,0.054 +14986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.531630921,0.054 +14988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.144813621,0.054 +14989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.442341535,0.054 +14990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.342372854,0.054 +14991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.170663528,0.054 +14992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.755838841,0.054 +14993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.35882632,0.054 +14994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.693433809,0.054 +14995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.698458859,0.054 +14996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.680326828,0.054 +14997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.614571766,0.054 +14998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.22373593,0.054 +15000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.322425221,0.054 +14999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.7,10,1,-0.013736243,0.054 +15002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.404701543,0.059 +15001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.456181583,0.059 +15003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.744871554,0.059 +15005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.689272054,0.059 +15004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.094516858,0.059 +15006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.180524202,0.059 +15007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.69627882,0.059 +15008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.639909834,0.059 +15009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.52273428,0.059 +15011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.566551813,0.059 +15012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.727818417,0.059 +15010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.204405891,0.059 +15014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.325235499,0.059 +15015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.243669478,0.059 +15013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.2290816,0.059 +15016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.193578756,0.059 +15017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.744483435,0.059 +15018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.236902424,0.059 +15019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.092003279,0.059 +15021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.277559721,0.059 +15020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.243570731,0.059 +15022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.478042738,0.059 +15023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.19672246,0.059 +15024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.458083414,0.059 +15025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.543178555,0.059 +15026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.066728434,0.059 +15027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.59610504,0.059 +15028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.527119983,0.059 +15030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.284014559,0.059 +15029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.063713411,0.059 +15031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.618883913,0.059 +15032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.428508085,0.059 +15033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.468432544,0.059 +15034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.658609026,0.059 +15035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.605190605,0.059 +15036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.608712745,0.059 +15037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.401881839,0.059 +15039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.604126116,0.059 +15038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.324956322,0.059 +15040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.550448081,0.059 +15042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.496495576,0.059 +15041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.363459519,0.059 +15044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.10381996,0.059 +15043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.132648512,0.059 +15045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.19310262,0.059 +15046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.020739402,0.059 +15047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.258453193,0.059 +15048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.591128086,0.059 +15049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.242854631,0.059 +15050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.289700276,0.059 +15051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.724407414,0.059 +15052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.367202194,0.059 +15053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.050246448,0.059 +15054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.49983971,0.059 +15055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.400710555,0.059 +15056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.600539223,0.059 +15057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.623072139,0.059 +15058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.001018205,0.059 +15059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.559519689,0.059 +15060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.605460756,0.059 +15061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.132171716,0.059 +15062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.277720872,0.059 +15063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.823540829,0.059 +15064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.563582191,0.059 +15065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.294184747,0.059 +15066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.41756154,0.059 +15069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.417298969,0.059 +15070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.853715545,0.059 +15068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.009135883,0.059 +15067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.252909603,0.059 +15073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.466526123,0.059 +15074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.476807976,0.059 +15072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.587063179,0.059 +15071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.324424266,0.059 +15075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.11737214,0.059 +15076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.827150367,0.059 +15077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.27519446,0.059 +15078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.336932515,0.059 +15079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.410246823,0.059 +15080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.42036425,0.059 +15081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.123130365,0.059 +15082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.056734121,0.059 +15084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.004614438,0.059 +15083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.884163515,0.059 +15085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.49906615,0.059 +15086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.376134125,0.059 +15087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.551041909,0.059 +15088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.295880465,0.059 +15090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.243087158,0.059 +15092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.102911839,0.059 +15093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.008454744,0.059 +15094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.723762982,0.059 +15091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.760443077,0.059 +15089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.136122269,0.059 +15095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.244678049,0.059 +15096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.753588484,0.059 +15097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.740069611,0.059 +15100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.350876865,0.059 +15101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.498168694,0.059 +15098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.371795072,0.059 +15099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.351101185,0.059 +15103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.332646979,0.059 +15102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.271622131,0.059 +15104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.116928857,0.059 +15105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.517402536,0.059 +15109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.024039792,0.059 +15107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.460980168,0.059 +15110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.223366409,0.059 +15106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-8.85E-04,0.059 +15108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.710805177,0.059 +15111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.016595177,0.059 +15112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.031541096,0.059 +15113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.076681636,0.059 +15114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.255172935,0.059 +15115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.570896434,0.059 +15116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.110305377,0.059 +15117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.781483316,0.059 +15118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.641107212,0.059 +15119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.661719121,0.059 +15120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.69401579,0.059 +15121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.051301944,0.059 +15125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.727003515,0.059 +15122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.245853987,0.059 +15123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.291134131,0.059 +15124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.841606828,0.059 +15126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.415979924,0.059 +15128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.159349454,0.059 +15127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.067548872,0.059 +15129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.779769836,0.059 +15130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.39751489,0.059 +15131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.572992759,0.059 +15132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.724950571,0.059 +15133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.4797264,0.059 +15134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.192479516,0.059 +15135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.170734651,0.059 +15138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.365101433,0.059 +15136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.188590559,0.059 +15139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.54132899,0.059 +15140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.420201961,0.059 +15141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.057134339,0.059 +15137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.523805639,0.059 +15142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.328477534,0.059 +15143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.752768064,0.059 +15144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.476367346,0.059 +15145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.201962727,0.059 +15146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.305535468,0.059 +15147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.375443855,0.059 +15148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.561850847,0.059 +15150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.02522446,0.059 +15149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.016543193,0.059 +15151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.149355701,0.059 +15153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.528334107,0.059 +15154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.427123968,0.059 +15155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.089031686,0.059 +15156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.050778674,0.059 +15152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.081123359,0.059 +15157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.283119763,0.059 +15158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.333280796,0.059 +15159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.627068815,0.059 +15160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.765164538,0.059 +15164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.488835787,0.059 +15161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.298912783,0.059 +15162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.877878143,0.059 +15163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.083978286,0.059 +15165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.862780287,0.059 +15167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.29460205,0.059 +15166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.058292592,0.059 +15170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.172927174,0.059 +15171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.180413207,0.059 +15172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.059887724,0.059 +15169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.37707415,0.059 +15168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.210885816,0.059 +15174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.777762294,0.059 +15173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.066351484,0.059 +15175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.374167949,0.059 +15177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.770787676,0.059 +15178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.749452727,0.059 +15176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.731241607,0.059 +15179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.524278588,0.059 +15180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.354501059,0.059 +15181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.573972064,0.059 +15182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.181620604,0.059 +15184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.656945711,0.059 +15183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.754751592,0.059 +15187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.750610522,0.059 +15185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.350278806,0.059 +15188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.372965509,0.059 +15186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.604340135,0.059 +15189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.582889797,0.059 +15190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.27014184,0.059 +15191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.181398187,0.059 +15192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.653258735,0.059 +15193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.452349998,0.059 +15195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.575494786,0.059 +15194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.210832309,0.059 +15196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.599594869,0.059 +15198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.489785616,0.059 +15199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.572422534,0.059 +15197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.663504454,0.059 +15201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.202452663,0.059 +15202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.461764012,0.059 +15203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.065340158,0.059 +15204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.809725296,0.059 +15200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.131335882,0.059 +15205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.486309913,0.059 +15206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.16967609,0.059 +15207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.029067344,0.059 +15210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.04898564,0.059 +15209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.051865522,0.059 +15208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.102968868,0.059 +15211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.031885403,0.059 +15213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.1981104,0.059 +15214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.073051874,0.059 +15212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.574534615,0.059 +15216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.294868741,0.059 +15217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.320425211,0.059 +15215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.481714027,0.059 +15218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.74524871,0.059 +15219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.224161965,0.059 +15220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.389277293,0.059 +15221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.519980421,0.059 +15223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.629772737,0.059 +15222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.644586577,0.059 +15225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.2018871,0.059 +15224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.630555408,0.059 +15226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.62983443,0.059 +15227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.461554614,0.059 +15228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.625586506,0.059 +15229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.177632358,0.059 +15230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.241260298,0.059 +15232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.340082844,0.059 +15231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.636331922,0.059 +15233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.145764289,0.059 +15234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.504543598,0.059 +15235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.20633937,0.059 +15237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.295839131,0.059 +15236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.655995997,0.059 +15238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.676754088,0.059 +15239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.40355686,0.059 +15241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.435758391,0.059 +15242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.546241404,0.059 +15243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.60858264,0.059 +15240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.403558685,0.059 +15245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.153803607,0.059 +15246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.53986378,0.059 +15247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.672034779,0.059 +15244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.126131466,0.059 +15248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.511418271,0.059 +15250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.067839339,0.059 +15249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.058035468,0.059 +15251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.469359104,0.059 +15253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.540646966,0.059 +15254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.681701157,0.059 +15252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.56652143,0.059 +15255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.052139597,0.059 +15256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.531238955,0.059 +15258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.191482275,0.059 +15257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.688164592,0.059 +15260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.772156871,0.059 +15261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.229968662,0.059 +15262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.168114634,0.059 +15263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.091270773,0.059 +15259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.741848936,0.059 +15265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.089315242,0.059 +15264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.701972542,0.059 +15268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.349035604,0.059 +15267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.465086196,0.059 +15266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.142186773,0.059 +15269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.763729425,0.059 +15270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.793109308,0.059 +15272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.053390105,0.059 +15271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.826242702,0.059 +15273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.652318666,0.059 +15276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.276910098,0.059 +15275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.480108204,0.059 +15277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.724362898,0.059 +15274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.348218006,0.059 +15278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.450734928,0.059 +15279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.741696785,0.059 +15280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.082304403,0.059 +15281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.416962668,0.059 +15283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.001539911,0.059 +15284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.007810818,0.059 +15282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.427785691,0.059 +15285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.568433054,0.059 +15286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.375743024,0.059 +15287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.6469557,0.059 +15290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.468127459,0.059 +15288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.606437015,0.059 +15289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.026844065,0.059 +15291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.389730572,0.059 +15292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.683830825,0.059 +15293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.726489298,0.059 +15295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.239200665,0.059 +15294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.139781276,0.059 +15297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.235964516,0.059 +15296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.020845556,0.059 +15298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.621985826,0.059 +15299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.832166402,0.059 +15301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.430495425,0.059 +15300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.065718472,0.059 +15303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.144111733,0.059 +15302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.462314488,0.059 +15305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.063207602,0.059 +15304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.089296687,0.059 +15306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.454491245,0.059 +15308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.285844621,0.059 +15309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.067238896,0.059 +15307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.728651574,0.059 +15310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.336591808,0.059 +15312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.393397073,0.059 +15313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.164352988,0.059 +15314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.192941704,0.059 +15315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.34347765,0.059 +15311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.610885026,0.059 +15316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.169485702,0.059 +15317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.015775575,0.059 +15318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.316031759,0.059 +15321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.301620181,0.059 +15320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.488662575,0.059 +15319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.482637764,0.059 +15322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.531605303,0.059 +15323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.008352096,0.059 +15324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.012487201,0.059 +15325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.62839146,0.059 +15326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.378911178,0.059 +15328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.042274673,0.059 +15329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.627358337,0.059 +15327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.326608388,0.059 +15330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.263900132,0.059 +15332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.387185541,0.059 +15333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.05241956,0.059 +15331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.190392833,0.059 +15335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.077779995,0.059 +15336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.615783268,0.059 +15334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.642824366,0.059 +15337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.285304844,0.059 +15338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.648041291,0.059 +15339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.708854662,0.059 +15340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.347945918,0.059 +15341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.764271194,0.059 +15342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.026974043,0.059 +15343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.10760429,0.059 +15344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.002879481,0.059 +15345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.262783429,0.059 +15346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.261183157,0.059 +15347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.673635384,0.059 +15348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.357738009,0.059 +15349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.177931492,0.059 +15350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.483587997,0.059 +15352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.419699552,0.059 +15351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.403378767,0.059 +15353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.870803247,0.059 +15356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.439353002,0.059 +15355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.441265824,0.059 +15354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.643603419,0.059 +15357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.24006626,0.059 +15359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.652544932,0.059 +15360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.632129639,0.059 +15358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.041478639,0.059 +15361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.819599771,0.059 +15363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.242035393,0.059 +15362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.529785754,0.059 +15365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.544901165,0.059 +15364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.344596661,0.059 +15367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.617537163,0.059 +15366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.013549816,0.059 +15368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.258668021,0.059 +15369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.039754021,0.059 +15370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.403188378,0.059 +15372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.359703003,0.059 +15371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.034160267,0.059 +15374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.627229578,0.059 +15375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.160377666,0.059 +15373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.080704999,0.059 +15376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.60042422,0.059 +15377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.159342514,0.059 +15380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.183319545,0.059 +15379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.21204231,0.059 +15378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.084887198,0.059 +15381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.358563924,0.059 +15382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.313498835,0.059 +15384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.656299033,0.059 +15385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.336321831,0.059 +15383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.166237286,0.059 +15386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.274543526,0.059 +15387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.122702016,0.059 +15388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.021647518,0.059 +15389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.31844965,0.059 +15390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.22329858,0.059 +15391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.043657847,0.059 +15392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.563960529,0.059 +15395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.721985483,0.059 +15396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.564621159,0.059 +15394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.837998333,0.059 +15397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.371053807,0.059 +15393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.38920312,0.059 +15400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.042061099,0.059 +15398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.440460188,0.059 +15399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.044035424,0.059 +15403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.318817166,0.059 +15404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.41464351,0.059 +15401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.240872999,0.059 +15402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.767635063,0.059 +15406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.238193396,0.059 +15407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.731334729,0.059 +15405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.654343568,0.059 +15408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.059941754,0.059 +15411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.08363896,0.059 +15409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.522066039,0.059 +15412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.699056196,0.059 +15414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.533320404,0.059 +15413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.797333263,0.059 +15410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.344462485,0.059 +15415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.500402512,0.059 +15416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.023665789,0.059 +15418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.595749111,0.059 +15417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.727783783,0.059 +15419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.352911835,0.059 +15420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.73264749,0.059 +15422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.477397095,0.059 +15421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.537751064,0.059 +15424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.145469388,0.059 +15425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.43248983,0.059 +15426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.425234571,0.059 +15423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.162238096,0.059 +15427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.051540736,0.059 +15428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.732924968,0.059 +15429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.655747877,0.059 +15430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.011507401,0.059 +15431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.750003914,0.059 +15432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.774054384,0.059 +15433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.12696755,0.059 +15434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.170273057,0.059 +15435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.460496418,0.059 +15436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.756149261,0.059 +15437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.199304572,0.059 +15438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.719994176,0.059 +15440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.208637351,0.059 +15439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.670667307,0.059 +15443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.529276771,0.059 +15445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.451741315,0.059 +15444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.420060631,0.059 +15441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.571544463,0.059 +15442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.779582177,0.059 +15446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.790449597,0.059 +15447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.6713632,0.059 +15448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.214963033,0.059 +15449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.226446218,0.059 +15450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.162500043,0.059 +15452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.046402698,0.059 +15451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.362379778,0.059 +15454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.063899529,0.059 +15453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.392980227,0.059 +15455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.248515937,0.059 +15457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.626700908,0.059 +15458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.22157074,0.059 +15456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.619805641,0.059 +15460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.507880169,0.059 +15459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.483455185,0.059 +15461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.642524645,0.059 +15462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.258023873,0.059 +15463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.619507937,0.059 +15465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.238547499,0.059 +15464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.086448805,0.059 +15466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.002456358,0.059 +15468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.66117218,0.059 +15467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.01680209,0.059 +15469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.70564562,0.059 +15471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.503621155,0.059 +15470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.336059896,0.059 +15474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.729427004,0.059 +15475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.068399225,0.059 +15472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.827474385,0.059 +15473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.157133728,0.059 +15477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.169495534,0.059 +15476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.10644635,0.059 +15479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.073060062,0.059 +15478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.077284988,0.059 +15480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.200599276,0.059 +15481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.44813903,0.059 +15482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.335175319,0.059 +15483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.399969038,0.059 +15484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.502120551,0.059 +15485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.476414043,0.059 +15487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.175709043,0.059 +15489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.256209256,0.059 +15488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.314694096,0.059 +15486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.556922648,0.059 +15491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.518950635,0.059 +15492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.542581612,0.059 +15490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.105547951,0.059 +15493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.08885466,0.059 +15495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.234349119,0.059 +15494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.705956705,0.059 +15497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.174280964,0.059 +15498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.513132527,0.059 +15499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.694893147,0.059 +15500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.369775968,0.059 +15496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.53969056,0.059 +15501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.03360245,0.059 +15503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.191492806,0.059 +15505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.212984852,0.059 +15506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.083223771,0.059 +15502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.5532245,0.059 +15507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.244922402,0.059 +15504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.095804563,0.059 +15508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.711095429,0.059 +15509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.64384022,0.059 +15510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.037248455,0.059 +15511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.668188259,0.059 +15512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.663128579,0.059 +15514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.672159838,0.059 +15513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.172483843,0.059 +15516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.266332637,0.059 +15515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.028749703,0.059 +15517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.766982232,0.059 +15518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.629734209,0.059 +15519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.572206376,0.059 +15520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.018817029,0.059 +15521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.785448804,0.059 +15522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.503710548,0.059 +15523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.784924179,0.059 +15524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.647993227,0.059 +15525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.145258701,0.059 +15526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.54549077,0.059 +15527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.236997378,0.059 +15528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.032437073,0.059 +15529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.055075133,0.059 +15530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.20324421,0.059 +15531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.193075355,0.059 +15533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.219620004,0.059 +15532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.366576818,0.059 +15535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.795484151,0.059 +15534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.292647346,0.059 +15536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.180320518,0.059 +15537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.020020028,0.059 +15538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.625377334,0.059 +15541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.469338657,0.059 +15540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.13620546,0.059 +15543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.388854223,0.059 +15542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.078825695,0.059 +15539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.005254072,0.059 +15544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.27738951,0.059 +15545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.459406133,0.059 +15546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.483951926,0.059 +15549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.570185956,0.059 +15548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.219681977,0.059 +15551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.282508293,0.059 +15550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.611682833,0.059 +15552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.277590242,0.059 +15553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.60771401,0.059 +15547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.3766215,0.059 +15554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.603833368,0.059 +15555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.637809045,0.059 +15558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.496595423,0.059 +15557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.615820626,0.059 +15556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.416617713,0.059 +15559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.757648594,0.059 +15561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.752317281,0.059 +15560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.474429337,0.059 +15562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.06967587,0.059 +15563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.630843648,0.059 +15564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.640669172,0.059 +15567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.464436606,0.059 +15568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.810276093,0.059 +15569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.489520515,0.059 +15565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.720610471,0.059 +15570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.529153665,0.059 +15566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.458712001,0.059 +15571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.109108322,0.059 +15572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.013703524,0.059 +15573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.470767603,0.059 +15575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.262340563,0.059 +15574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.441883288,0.059 +15576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.005550732,0.059 +15577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.758758085,0.059 +15579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.611937332,0.059 +15578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.345797971,0.059 +15580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.283317398,0.059 +15581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.338777555,0.059 +15582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.544339471,0.059 +15583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.489233231,0.059 +15584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.077160628,0.059 +15586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.00145968,0.059 +15585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.308147455,0.059 +15587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.122865959,0.059 +15589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.257912314,0.059 +15591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.615900049,0.059 +15590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.765676429,0.059 +15588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.713680589,0.059 +15592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.593004423,0.059 +15593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.65595878,0.059 +15594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.368811208,0.059 +15596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.112547606,0.059 +15597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.689203411,0.059 +15598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.072153753,0.059 +15599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.646312482,0.059 +15600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.346382069,0.059 +15595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.047083934,0.059 +15601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.083620984,0.059 +15602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.535471007,0.059 +15603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.308552268,0.059 +15606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.377683795,0.059 +15604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.629863231,0.059 +15607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.243756774,0.059 +15605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.456671739,0.059 +15608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.785919309,0.059 +15610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.021811458,0.059 +15609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.689626918,0.059 +15611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.096160104,0.059 +15615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.401032735,0.059 +15612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.736416035,0.059 +15613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.166866607,0.059 +15614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.619225951,0.059 +15616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.43090218,0.059 +15617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.547150451,0.059 +15618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.702246119,0.059 +15619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.07049466,0.059 +15620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.437611619,0.059 +15622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.147031292,0.059 +15621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.421084699,0.059 +15623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.23573291,0.059 +15626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.376164435,0.059 +15625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.251065029,0.059 +15628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.005377437,0.059 +15629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.017276182,0.059 +15627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.369913443,0.059 +15630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.354576826,0.059 +15631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.5180623,0.059 +15624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.33086085,0.059 +15633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.390622909,0.059 +15632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.104500072,0.059 +15634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.487817281,0.059 +15635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.548094033,0.059 +15637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.193471776,0.059 +15636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.178766469,0.059 +15638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.500099813,0.059 +15639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.268225838,0.059 +15640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.648598636,0.059 +15641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.203108454,0.059 +15642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.71757614,0.059 +15643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.406393481,0.059 +15645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.02706343,0.059 +15644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.67415998,0.059 +15646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.031600441,0.059 +15647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.822992148,0.059 +15648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.02058079,0.059 +15649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.026544489,0.059 +15650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.726666407,0.059 +15651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.642161808,0.059 +15652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.369273638,0.059 +15653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.11263026,0.059 +15654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.459128963,0.059 +15655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.466677671,0.059 +15656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.196138083,0.059 +15658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.572043591,0.059 +15657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.76820905,0.059 +15660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.008379219,0.059 +15659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.101787848,0.059 +15661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.507880522,0.059 +15662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.584035109,0.059 +15664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.510933456,0.059 +15663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.392315089,0.059 +15666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.646403068,0.059 +15668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.050474826,0.059 +15665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.539711191,0.059 +15669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.648168282,0.059 +15670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.409099431,0.059 +15667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.710752982,0.059 +15671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.687204724,0.059 +15674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.218083899,0.059 +15675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.558386967,0.059 +15672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.511569647,0.059 +15676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.304133063,0.059 +15673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.770835069,0.059 +15677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.063873805,0.059 +15678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.248995552,0.059 +15680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.506473089,0.059 +15679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.543075461,0.059 +15681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.575842873,0.059 +15684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.2609427,0.059 +15682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.394299141,0.059 +15685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.812518397,0.059 +15683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.626920674,0.059 +15686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.332114543,0.059 +15689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.035759061,0.059 +15688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.660750891,0.059 +15687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.483081582,0.059 +15692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.027581235,0.059 +15691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.241559545,0.059 +15693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.275961824,0.059 +15690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.334026943,0.059 +15694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.738733156,0.059 +15695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.513865084,0.059 +15696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.77376313,0.059 +15697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.274311561,0.059 +15698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.621035531,0.059 +15700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.456311028,0.059 +15701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.716624513,0.059 +15699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.09995871,0.059 +15702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.039579008,0.059 +15704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.03189929,0.059 +15705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.238110306,0.059 +15703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.46524254,0.059 +15706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.561215996,0.059 +15708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.174174704,0.059 +15707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.563687855,0.059 +15709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.556013444,0.059 +15710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.013928853,0.059 +15711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.418878204,0.059 +15713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.204125254,0.059 +15712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.012020478,0.059 +15716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.324499449,0.059 +15714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.691283086,0.059 +15715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.708773723,0.059 +15717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.32314151,0.059 +15720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.056509594,0.059 +15719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.681763807,0.059 +15721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.012477751,0.059 +15718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.069364621,0.059 +15723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.31637223,0.059 +15725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.666155469,0.059 +15724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.856296839,0.059 +15722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.471461001,0.059 +15729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.168966336,0.059 +15728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.420449175,0.059 +15726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.693948248,0.059 +15727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.295352295,0.059 +15731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.241298677,0.059 +15732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.432917965,0.059 +15730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.824208081,0.059 +15733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.22070384,0.059 +15735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.160298728,0.059 +15734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.492939916,0.059 +15736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.016038352,0.059 +15739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.362986285,0.059 +15740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.658293999,0.059 +15738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.607619808,0.059 +15742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.301382265,0.059 +15743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.474933979,0.059 +15741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.556359305,0.059 +15744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.508073797,0.059 +15737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.548589171,0.059 +15746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.546081481,0.059 +15747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.642699859,0.059 +15749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.251513815,0.059 +15748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.034844807,0.059 +15751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.568738885,0.059 +15745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.561970749,0.059 +15750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.761746035,0.059 +15752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.270942207,0.059 +15753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.586772954,0.059 +15754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.013600574,0.059 +15755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.08417889,0.059 +15756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.521632786,0.059 +15757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.041854259,0.059 +15758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.258977912,0.059 +15759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.351946201,0.059 +15762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.686166862,0.059 +15764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.388702474,0.059 +15763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.709054073,0.059 +15765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.606134921,0.059 +15766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.271141593,0.059 +15761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.205531732,0.059 +15767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.052988041,0.059 +15760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.581311071,0.059 +15771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.422300929,0.059 +15768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.329732672,0.059 +15773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.676035978,0.059 +15770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.597334664,0.059 +15769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.218745549,0.059 +15772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.736822306,0.059 +15775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.687671387,0.059 +15774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.108143426,0.059 +15777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.087045542,0.059 +15780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.135685596,0.059 +15779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.087372272,0.059 +15781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.599365479,0.059 +15778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.04259768,0.059 +15776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.175067971,0.059 +15783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.570435489,0.059 +15782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.277566967,0.059 +15784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.328939233,0.059 +15785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.695493989,0.059 +15786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.806376148,0.059 +15788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.578052268,0.059 +15787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.296218466,0.059 +15789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.544348405,0.059 +15790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.677604292,0.059 +15791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.190926801,0.059 +15794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.630634886,0.059 +15793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.222530715,0.059 +15795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.67971368,0.059 +15796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.807095863,0.059 +15798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.224067618,0.059 +15797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.352694307,0.059 +15792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.771022294,0.059 +15799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,4.60E-04,0.059 +15803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.35094711,0.059 +15801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.393068976,0.059 +15800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.333879451,0.059 +15802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.346099686,0.059 +15805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.786255313,0.059 +15806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.031355893,0.059 +15804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.584822997,0.059 +15807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.418320304,0.059 +15809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.407180732,0.059 +15810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.458827143,0.059 +15811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.524441595,0.059 +15808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.572275135,0.059 +15812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.645128813,0.059 +15814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.047069433,0.059 +15813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.633957285,0.059 +15817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.135259343,0.059 +15815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.049956711,0.059 +15816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.668501971,0.059 +15819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.299908732,0.059 +15820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.11599034,0.059 +15818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.520938145,0.059 +15821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.790209135,0.059 +15822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.655453098,0.059 +15823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.718965013,0.059 +15827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.364846857,0.059 +15826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.425658606,0.059 +15825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.196474738,0.059 +15824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.010871427,0.059 +15828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.281049614,0.059 +15829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.091285396,0.059 +15830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.651352044,0.059 +15831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.153064248,0.059 +15833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.705133356,0.059 +15834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.539816605,0.059 +15832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.354689771,0.059 +15836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.183306668,0.059 +15835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.003291488,0.059 +15837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.716556713,0.059 +15838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.494443823,0.059 +15839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.004816453,0.059 +15840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.119498745,0.059 +15841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.296189211,0.059 +15844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.316427395,0.059 +15842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.868942468,0.059 +15845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.355361278,0.059 +15843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.107912917,0.059 +15846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.674279251,0.059 +15848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.046922781,0.059 +15847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.61076269,0.059 +15849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.3470971,0.059 +15852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.254284151,0.059 +15851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.352039681,0.059 +15853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.189770999,0.059 +15850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.591991763,0.059 +15854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.524191068,0.059 +15856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.25559274,0.059 +15857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.510666668,0.059 +15855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.656164425,0.059 +15858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.052714196,0.059 +15860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.648698271,0.059 +15859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.097115635,0.059 +15861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-1.70E-04,0.059 +15862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.103201354,0.059 +15863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.256113429,0.059 +15865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.457653267,0.059 +15864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.562617564,0.059 +15866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.251581495,0.059 +15868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.761584101,0.059 +15867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.229806861,0.059 +15869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.284193233,0.059 +15870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.449292603,0.059 +15871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.091516652,0.059 +15872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.788783188,0.059 +15873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.690313941,0.059 +15874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.583006845,0.059 +15875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.496588723,0.059 +15876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.758952209,0.059 +15880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.790141568,0.059 +15878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.089689338,0.059 +15877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.070248435,0.059 +15879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.075531097,0.059 +15881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.082415907,0.059 +15883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.406461162,0.059 +15882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.072507049,0.059 +15884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.29882981,0.059 +15885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.633038512,0.059 +15888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.797646689,0.059 +15886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.679613209,0.059 +15887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.465842069,0.059 +15889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.709288384,0.059 +15890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.167707232,0.059 +15891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.780430082,0.059 +15892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.327836358,0.059 +15894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.346206663,0.059 +15893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.88189065,0.059 +15895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.631485999,0.059 +15896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.517238908,0.059 +15897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.113281402,0.059 +15898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.23421558,0.059 +15900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.560716835,0.059 +15899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.391096876,0.059 +15901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.711210422,0.059 +15903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.589808026,0.059 +15902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.715115725,0.059 +15904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.012713208,0.059 +15905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.646546119,0.059 +15906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.531203006,0.059 +15907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.377353108,0.059 +15908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.052806404,0.059 +15909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.770816651,0.059 +15911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.093539521,0.059 +15910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.855922803,0.059 +15913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.193418025,0.059 +15914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.423671255,0.059 +15915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.331487961,0.059 +15916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.373150048,0.059 +15917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.573159682,0.059 +15919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.009325998,0.059 +15918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.745241331,0.059 +15912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.393821392,0.059 +15921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.541892025,0.059 +15920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.120985647,0.059 +15923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.077178987,0.059 +15924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.670099461,0.059 +15925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.411264858,0.059 +15922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.024566712,0.059 +15926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.501634577,0.059 +15927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.309257283,0.059 +15928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.378119187,0.059 +15930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.258735563,0.059 +15931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.603021805,0.059 +15933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.637959548,0.059 +15934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.650199261,0.059 +15932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.848355782,0.059 +15929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.113465241,0.059 +15935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.713755978,0.059 +15938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.825717813,0.059 +15936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.139768313,0.059 +15939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.264881022,0.059 +15940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.148160759,0.059 +15941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.140121791,0.059 +15937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.638663156,0.059 +15942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.011565814,0.059 +15944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.241982413,0.059 +15945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.710756325,0.059 +15946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.409880775,0.059 +15943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.15329497,0.059 +15948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.665318918,0.059 +15949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.453643221,0.059 +15950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.659141273,0.059 +15947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.076361049,0.059 +15953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.29677473,0.059 +15952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.778577062,0.059 +15951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.175942129,0.059 +15954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.53358159,0.059 +15955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.665778092,0.059 +15957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.294155014,0.059 +15958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.846567742,0.059 +15956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.579208948,0.059 +15960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.250371668,0.059 +15961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,8.32E-04,0.059 +15959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.204718552,0.059 +15963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.491433618,0.059 +15962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.780912816,0.059 +15966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.789798313,0.059 +15964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.002478231,0.059 +15967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.192214478,0.059 +15965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.018924172,0.059 +15968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.876781794,0.059 +15969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.290299934,0.059 +15970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.695785612,0.059 +15972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.003119195,0.059 +15971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.647726102,0.059 +15973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.271951482,0.059 +15975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.191853825,0.059 +15974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.694922931,0.059 +15976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.506429058,0.059 +15978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.442236325,0.059 +15977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.676420446,0.059 +15981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.426487641,0.059 +15980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.59993331,0.059 +15979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.428665321,0.059 +15983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.709311451,0.059 +15982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.721730411,0.059 +15984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.737773534,0.059 +15985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.079880046,0.059 +15986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.113007816,0.059 +15987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.566493758,0.059 +15989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.365448516,0.059 +15990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,0.099558923,0.059 +15991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.105629961,0.059 +15992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.326135413,0.059 +15988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.528294406,0.059 +15993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.046851606,0.059 +15994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.689353416,0.059 +15995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.636122868,0.059 +15996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.623431297,0.059 +15998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.044746167,0.059 +15997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.133269688,0.059 +15999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,8.39E-04,0.059 +16000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.75,10,1,-0.099934235,0.059 +16001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.52882224,0.071 +16002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.128917082,0.071 +16003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.124268258,0.071 +16004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.626543185,0.071 +16006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.087782764,0.071 +16005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.053163195,0.071 +16007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.387363055,0.071 +16009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.100712628,0.071 +16010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.115701928,0.071 +16011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.125416439,0.071 +16012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.13186436,0.071 +16014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.206221827,0.071 +16013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.465307056,0.071 +16008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.649928607,0.071 +16015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.412068329,0.071 +16016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.258845714,0.071 +16017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.354492657,0.071 +16018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.055120418,0.071 +16019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.307132093,0.071 +16020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.690786095,0.071 +16021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.676380273,0.071 +16022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.568312555,0.071 +16023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.651422927,0.071 +16024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.432088174,0.071 +16025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.870376435,0.071 +16026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.579216687,0.071 +16027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.419804756,0.071 +16028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.325753095,0.071 +16029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.390533644,0.071 +16032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.28596291,0.071 +16031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.722996719,0.071 +16033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.74830562,0.071 +16030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.541694546,0.071 +16034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.257000755,0.071 +16035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.459715204,0.071 +16037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.694409293,0.071 +16036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.485877169,0.071 +16038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.517516858,0.071 +16039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.021907491,0.071 +16040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.109096618,0.071 +16041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.551897981,0.071 +16042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.436619245,0.071 +16044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.709301121,0.071 +16043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.084946533,0.071 +16045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.046694382,0.071 +16047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.50413664,0.071 +16046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.625711109,0.071 +16048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.269942217,0.071 +16052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.551703749,0.071 +16050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.478678356,0.071 +16053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.013498678,0.071 +16051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.15809128,0.071 +16049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.303991272,0.071 +16054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.423819596,0.071 +16055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.636756891,0.071 +16056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.058009919,0.071 +16059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.018467052,0.071 +16058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.843591883,0.071 +16057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.334896797,0.071 +16060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.591750476,0.071 +16062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.646902529,0.071 +16063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.346453142,0.071 +16061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.585766858,0.071 +16064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.019448817,0.071 +16066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.350823528,0.071 +16067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.033088787,0.071 +16065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.055047422,0.071 +16068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.033920639,0.071 +16069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.194459611,0.071 +16070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.46473532,0.071 +16072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.693646594,0.071 +16071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.177069651,0.071 +16075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.265444436,0.071 +16073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.664415891,0.071 +16076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.47378282,0.071 +16074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.640275748,0.071 +16078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.650206676,0.071 +16077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.509791294,0.071 +16079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.536993301,0.071 +16080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.758829269,0.071 +16083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.629353358,0.071 +16082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.786830457,0.071 +16084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.434505253,0.071 +16081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.326449161,0.071 +16086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.104826457,0.071 +16085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.729929414,0.071 +16087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.219097583,0.071 +16088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.415860648,0.071 +16090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.435183757,0.071 +16092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.63103381,0.071 +16089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.773967926,0.071 +16091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.032858778,0.071 +16093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.001841771,0.071 +16094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.511584809,0.071 +16095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.126053978,0.071 +16099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.664594361,0.071 +16100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.541712707,0.071 +16098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.135751358,0.071 +16097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.622101646,0.071 +16096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.629998726,0.071 +16101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.131810179,0.071 +16102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.106801955,0.071 +16103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.801232698,0.071 +16104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.057161991,0.071 +16105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.64102637,0.071 +16106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.358436503,0.071 +16109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.760513843,0.071 +16108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.363389251,0.071 +16107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.426553212,0.071 +16110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.608634738,0.071 +16111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.622193106,0.071 +16114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.573823456,0.071 +16113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.428229423,0.071 +16115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.48728595,0.071 +16112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.646001944,0.071 +16117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.360084638,0.071 +16118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.615182412,0.071 +16119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.379268156,0.071 +16116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.428527716,0.071 +16120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.314926324,0.071 +16121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.196487215,0.071 +16122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.471721318,0.071 +16123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.546108039,0.071 +16124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.612807177,0.071 +16125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.176787624,0.071 +16126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.292923491,0.071 +16127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.801639835,0.071 +16128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.443901803,0.071 +16130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.129844581,0.071 +16129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.090889462,0.071 +16131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.073169918,0.071 +16133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.576480348,0.071 +16134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.330470263,0.071 +16132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.76511262,0.071 +16135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.808372883,0.071 +16136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.670544678,0.071 +16137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.219049122,0.071 +16138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.238343789,0.071 +16139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.324156201,0.071 +16140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.535638863,0.071 +16141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.603272508,0.071 +16142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.410978763,0.071 +16143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.68649873,0.071 +16144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.329842482,0.071 +16145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.459713251,0.071 +16146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.013743628,0.071 +16147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.614221075,0.071 +16149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.007928049,0.071 +16150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.213449211,0.071 +16148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.139975841,0.071 +16151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,7.71E-04,0.071 +16152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.514603592,0.071 +16153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.660449749,0.071 +16154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.217755081,0.071 +16155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.504652543,0.071 +16158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.045852831,0.071 +16156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.721512544,0.071 +16157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.078289028,0.071 +16160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.554783203,0.071 +16161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.038270526,0.071 +16162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.195657202,0.071 +16159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.580927421,0.071 +16163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.27067608,0.071 +16165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.18260826,0.071 +16166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.1984766,0.071 +16164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.283211033,0.071 +16167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.013697233,0.071 +16168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.227390224,0.071 +16169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.723826888,0.071 +16171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.388748693,0.071 +16170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.30263228,0.071 +16172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.220799512,0.071 +16173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.398380547,0.071 +16174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.155147418,0.071 +16175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.567708298,0.071 +16176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.652769092,0.071 +16177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.545032292,0.071 +16178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.703204356,0.071 +16179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.337848543,0.071 +16180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.248448773,0.071 +16181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.930378437,0.071 +16182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.627599327,0.071 +16184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.297062689,0.071 +16183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.626003347,0.071 +16185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.246326077,0.071 +16186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.06746731,0.071 +16187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.07736617,0.071 +16188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.582534864,0.071 +16189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.369233121,0.071 +16190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.308084823,0.071 +16191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.770272849,0.071 +16192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.44471035,0.071 +16193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.425238024,0.071 +16194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.184184814,0.071 +16197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.557210746,0.071 +16196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.251590044,0.071 +16195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.029743512,0.071 +16198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.291561165,0.071 +16200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.190298605,0.071 +16199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.116884392,0.071 +16202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.409104516,0.071 +16205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.198036457,0.071 +16204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.255304006,0.071 +16206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.136971022,0.071 +16201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.582343304,0.071 +16208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.789356019,0.071 +16203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.250996625,0.071 +16207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.629239822,0.071 +16210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.781510497,0.071 +16209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.55603754,0.071 +16211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.293617596,0.071 +16212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.434055267,0.071 +16215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.566378642,0.071 +16216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.507689001,0.071 +16214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.502415976,0.071 +16213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.186189154,0.071 +16218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.317592214,0.071 +16217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.221960425,0.071 +16219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.781060307,0.071 +16220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.530736603,0.071 +16222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.225128028,0.071 +16223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.699031994,0.071 +16221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.420916915,0.071 +16226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.462317498,0.071 +16224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.12553607,0.071 +16225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.130385948,0.071 +16228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.230670227,0.071 +16227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.338207621,0.071 +16229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.123448156,0.071 +16230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.313542085,0.071 +16231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.652934336,0.071 +16234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.588493475,0.071 +16235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.271700528,0.071 +16232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.017403765,0.071 +16237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.411589774,0.071 +16236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.006086593,0.071 +16233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.076761673,0.071 +16238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.435458863,0.071 +16239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.154615837,0.071 +16240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.27817738,0.071 +16241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.143717961,0.071 +16242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.70696155,0.071 +16246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.896385867,0.071 +16243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.81514752,0.071 +16244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.482042174,0.071 +16245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.290214194,0.071 +16247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.637910776,0.071 +16249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.345552243,0.071 +16248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.133810486,0.071 +16250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.023201055,0.071 +16252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.572519933,0.071 +16253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.447045345,0.071 +16254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.807909573,0.071 +16251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.252241514,0.071 +16255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.351116538,0.071 +16256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.52420638,0.071 +16258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.536643587,0.071 +16259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.509882086,0.071 +16260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.755721522,0.071 +16257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.045790885,0.071 +16262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.178194254,0.071 +16261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.136905212,0.071 +16264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.185028766,0.071 +16263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.486642412,0.071 +16265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.669445043,0.071 +16267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.058455993,0.071 +16266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.149680502,0.071 +16268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.702512822,0.071 +16269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.17770327,0.071 +16270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.452370732,0.071 +16271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.113882277,0.071 +16272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.294622221,0.071 +16275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.041952033,0.071 +16274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.076216233,0.071 +16276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.045194855,0.071 +16273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.025593872,0.071 +16277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.65579082,0.071 +16278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.617272214,0.071 +16279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.220122182,0.071 +16280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.221902693,0.071 +16281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.665508682,0.071 +16283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.590440458,0.071 +16284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.737910569,0.071 +16285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.756369064,0.071 +16282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.683157477,0.071 +16286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.394454361,0.071 +16287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.196038355,0.071 +16289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.620240622,0.071 +16288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.341019787,0.071 +16291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.386992604,0.071 +16290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.449630896,0.071 +16292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.223065574,0.071 +16293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.483464801,0.071 +16294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.382290865,0.071 +16296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.010330493,0.071 +16297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.592581968,0.071 +16299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.437140998,0.071 +16298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.733648886,0.071 +16300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.798614199,0.071 +16295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.685061711,0.071 +16301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.423958308,0.071 +16302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.60317166,0.071 +16304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.433429723,0.071 +16305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.325076817,0.071 +16306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.672548653,0.071 +16307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.028679143,0.071 +16303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.744550595,0.071 +16308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.024282277,0.071 +16309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.73348362,0.071 +16312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.209100645,0.071 +16311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.808964022,0.071 +16314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.405301356,0.071 +16315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.120775342,0.071 +16313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.326871796,0.071 +16310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.011464895,0.071 +16316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.337135622,0.071 +16317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.368066889,0.071 +16319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.204253648,0.071 +16318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.848177097,0.071 +16320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.207288523,0.071 +16322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.815351468,0.071 +16324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.03606394,0.071 +16321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.327456978,0.071 +16323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.006383793,0.071 +16325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.145838119,0.071 +16326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.090089995,0.071 +16328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.601893731,0.071 +16327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.201114253,0.071 +16329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.463380739,0.071 +16330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.680295694,0.071 +16331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.521295764,0.071 +16333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.754058243,0.071 +16332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.02166755,0.071 +16334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.514790966,0.071 +16336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.029003333,0.071 +16335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.291313698,0.071 +16337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.502518875,0.071 +16339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.409984916,0.071 +16338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.175212963,0.071 +16340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.183973447,0.071 +16341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.467532234,0.071 +16342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.693086236,0.071 +16344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.233554477,0.071 +16345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.097396208,0.071 +16343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.060560019,0.071 +16346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.096680801,0.071 +16347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.656929003,0.071 +16348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.500643585,0.071 +16349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.569876838,0.071 +16350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.150404637,0.071 +16351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.767111111,0.071 +16352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.781959351,0.071 +16354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.692939087,0.071 +16353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.395091228,0.071 +16355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.686788069,0.071 +16357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.604036745,0.071 +16356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.293936381,0.071 +16359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.682637329,0.071 +16358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.60448769,0.071 +16360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.596006499,0.071 +16361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.608282588,0.071 +16362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.158203291,0.071 +16363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.448303015,0.071 +16365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.018504556,0.071 +16366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.225078362,0.071 +16367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.493482899,0.071 +16368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.037724401,0.071 +16369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.405724264,0.071 +16364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.044741019,0.071 +16370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.466854893,0.071 +16371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.504827085,0.071 +16372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.373533913,0.071 +16373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.286355167,0.071 +16375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.473536932,0.071 +16374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.073939788,0.071 +16377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.796092598,0.071 +16378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.707731231,0.071 +16376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.36707893,0.071 +16379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.105055424,0.071 +16380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.582283226,0.071 +16381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.050843027,0.071 +16382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.011005799,0.071 +16383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.364560498,0.071 +16384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.64918768,0.071 +16385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.473825174,0.071 +16386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.293946715,0.071 +16387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.484554668,0.071 +16388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.509531452,0.071 +16390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.015200301,0.071 +16389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.555242933,0.071 +16391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.063289248,0.071 +16393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.616150611,0.071 +16394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.545472233,0.071 +16395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.707878432,0.071 +16392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,7.91E-04,0.071 +16396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.15325197,0.071 +16397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.412677475,0.071 +16398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.543731763,0.071 +16400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.191948139,0.071 +16399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.042993584,0.071 +16402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.620512536,0.071 +16403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.527007222,0.071 +16401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.281501472,0.071 +16404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.263191371,0.071 +16405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.203316985,0.071 +16406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.631094386,0.071 +16408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.747909173,0.071 +16407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.671608009,0.071 +16409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.175115496,0.071 +16411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.39205968,0.071 +16412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.637713742,0.071 +16410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.782088919,0.071 +16413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.622176982,0.071 +16414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.309225903,0.071 +16416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.095633033,0.071 +16415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.191101762,0.071 +16417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.157910327,0.071 +16418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.711053942,0.071 +16419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.460318842,0.071 +16420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.21811303,0.071 +16422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.698645258,0.071 +16424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.304874172,0.071 +16423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.64295637,0.071 +16421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.526392102,0.071 +16426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.019582051,0.071 +16425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.31477071,0.071 +16427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.066676573,0.071 +16429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.091984086,0.071 +16430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.026223048,0.071 +16428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.116191712,0.071 +16431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.108332756,0.071 +16432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.560080705,0.071 +16434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.192121727,0.071 +16435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.638975942,0.071 +16433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.081634324,0.071 +16436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.399061837,0.071 +16437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.406749971,0.071 +16438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.422925559,0.071 +16439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.229616793,0.071 +16441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.116065058,0.071 +16442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.042276047,0.071 +16440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.612289648,0.071 +16443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.062403503,0.071 +16445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.136602908,0.071 +16444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.649643062,0.071 +16447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.025337513,0.071 +16448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.497743632,0.071 +16450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.81394193,0.071 +16449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.683327201,0.071 +16451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.238628606,0.071 +16446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.120494412,0.071 +16453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.015494731,0.071 +16452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.642706377,0.071 +16456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.671242599,0.071 +16455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.152037975,0.071 +16457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.492839765,0.071 +16454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.604601727,0.071 +16458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.064593492,0.071 +16459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.706606351,0.071 +16460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.6291576,0.071 +16461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.053280706,0.071 +16462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.067181531,0.071 +16463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.351908096,0.071 +16464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.689970146,0.071 +16465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.018280221,0.071 +16466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.094585047,0.071 +16467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.573157866,0.071 +16469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.181130587,0.071 +16468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.717641273,0.071 +16470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.053215166,0.071 +16471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.543895171,0.071 +16472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.213441291,0.071 +16474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.035189604,0.071 +16473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.583126196,0.071 +16475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.592892637,0.071 +16476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.35615592,0.071 +16477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.744924019,0.071 +16479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.012056483,0.071 +16480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.193851709,0.071 +16478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.646117529,0.071 +16481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.066597564,0.071 +16483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.042444363,0.071 +16482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.479889802,0.071 +16484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.202915764,0.071 +16485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.597085536,0.071 +16487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.283651162,0.071 +16486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.523712244,0.071 +16489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.064256262,0.071 +16488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.698498948,0.071 +16490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.643139721,0.071 +16491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.091602675,0.071 +16492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.109931277,0.071 +16493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.37169394,0.071 +16495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.523058243,0.071 +16496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.314152554,0.071 +16497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.119913695,0.071 +16494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.291086535,0.071 +16498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.306380041,0.071 +16500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.155516625,0.071 +16501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.374713846,0.071 +16499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.208716203,0.071 +16502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.16753095,0.071 +16503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.096874064,0.071 +16505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.449989724,0.071 +16507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.340180908,0.071 +16504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.851021143,0.071 +16506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.235995515,0.071 +16508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.586277082,0.071 +16509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.406046349,0.071 +16510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.07366638,0.071 +16511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.437120298,0.071 +16512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.856089994,0.071 +16514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.700323033,0.071 +16515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.034161458,0.071 +16516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.853499423,0.071 +16513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.338527988,0.071 +16517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.283227365,0.071 +16519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.111517398,0.071 +16518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.070273289,0.071 +16520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.027461711,0.071 +16521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.082981979,0.071 +16522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.671178714,0.071 +16524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.097318595,0.071 +16523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.094816517,0.071 +16525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.390208839,0.071 +16527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.349178548,0.071 +16528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.283216249,0.071 +16526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.583227338,0.071 +16529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.391068549,0.071 +16530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.013403805,0.071 +16531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.738595233,0.071 +16532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.51679046,0.071 +16534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.3539658,0.071 +16536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.575784052,0.071 +16535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.460309538,0.071 +16537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.036872934,0.071 +16538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.634048429,0.071 +16533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.127055272,0.071 +16540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.359082063,0.071 +16539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.320155051,0.071 +16541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.108889087,0.071 +16542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.071066933,0.071 +16543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.383500097,0.071 +16544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.204127937,0.071 +16545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.792532483,0.071 +16546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.349314908,0.071 +16547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.599284084,0.071 +16548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.039442973,0.071 +16549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.541997704,0.071 +16551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.451172939,0.071 +16552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.345147793,0.071 +16550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.394116844,0.071 +16553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.753754337,0.071 +16555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.863178561,0.071 +16556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.673576194,0.071 +16557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.566410648,0.071 +16558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.814408138,0.071 +16560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.382604436,0.071 +16554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.368089208,0.071 +16561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.514148314,0.071 +16559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.174677063,0.071 +16562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.092690213,0.071 +16564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.368855505,0.071 +16563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.445006014,0.071 +16565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.725206808,0.071 +16567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.18071937,0.071 +16566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.078800251,0.071 +16569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.251331279,0.071 +16568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.753878116,0.071 +16570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.377270862,0.071 +16571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.377852785,0.071 +16572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.835360211,0.071 +16575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.610857394,0.071 +16573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.569170841,0.071 +16574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.364402584,0.071 +16576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.415275326,0.071 +16577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.21807944,0.071 +16578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.078839458,0.071 +16579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.14141895,0.071 +16580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.482614628,0.071 +16581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.449546641,0.071 +16582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.304216019,0.071 +16585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.353340577,0.071 +16583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.774800837,0.071 +16584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.59959639,0.071 +16586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,1.30E-04,0.071 +16587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.467546313,0.071 +16588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.428255455,0.071 +16589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.282815186,0.071 +16590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.539443006,0.071 +16593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.027487548,0.071 +16592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.12703244,0.071 +16594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.640072234,0.071 +16595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.763611841,0.071 +16596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.474985567,0.071 +16591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.145900505,0.071 +16597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.105972605,0.071 +16598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.273792076,0.071 +16599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.235391099,0.071 +16601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.40767472,0.071 +16600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.529612584,0.071 +16603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.163414299,0.071 +16602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.37516517,0.071 +16604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.202149466,0.071 +16605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.51432597,0.071 +16606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.020624701,0.071 +16608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.889667163,0.071 +16609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.729334296,0.071 +16607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.073353253,0.071 +16611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.758865867,0.071 +16610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.081222912,0.071 +16612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.614115712,0.071 +16613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.204032855,0.071 +16614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.2029917,0.071 +16617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.708941845,0.071 +16615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.203030637,0.071 +16618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.193832948,0.071 +16619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.001026138,0.071 +16620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.035709912,0.071 +16616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.334527589,0.071 +16621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.235804362,0.071 +16622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.38802405,0.071 +16624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.62460278,0.071 +16623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.338720426,0.071 +16626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.36459238,0.071 +16625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.260227017,0.071 +16627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.68276175,0.071 +16628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.652854654,0.071 +16629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.477844786,0.071 +16631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.502405994,0.071 +16630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.673949759,0.071 +16632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.503372868,0.071 +16633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.869206824,0.071 +16634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.79437287,0.071 +16635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.797125058,0.071 +16636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.015512736,0.071 +16637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.448555442,0.071 +16638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.570830788,0.071 +16642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.467751265,0.071 +16640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.569626047,0.071 +16639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.452943228,0.071 +16641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.390248981,0.071 +16643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.636249165,0.071 +16645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.514906884,0.071 +16644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.577752876,0.071 +16646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.505149713,0.071 +16648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.434836225,0.071 +16647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.622692465,0.071 +16649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.596079632,0.071 +16650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.322225389,0.071 +16652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.662942855,0.071 +16653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.248966053,0.071 +16651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.57590472,0.071 +16654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.187692722,0.071 +16655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.184834989,0.071 +16656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.419516312,0.071 +16657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.409923777,0.071 +16659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.068222977,0.071 +16658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.227740656,0.071 +16660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.277046197,0.071 +16661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.313726589,0.071 +16662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.617585507,0.071 +16663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.019011684,0.071 +16664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.535359262,0.071 +16665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.374865945,0.071 +16666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.35871489,0.071 +16668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.447510152,0.071 +16669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.462807652,0.071 +16671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.446482974,0.071 +16670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.308635563,0.071 +16667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.094673773,0.071 +16672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.630040189,0.071 +16674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.20549473,0.071 +16673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.556442695,0.071 +16678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.069104465,0.071 +16677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.495218532,0.071 +16676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.47947917,0.071 +16679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.238691591,0.071 +16675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.659900867,0.071 +16680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.830617251,0.071 +16682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.852680937,0.071 +16681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.434357099,0.071 +16683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.567270797,0.071 +16684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.586812406,0.071 +16685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.026007885,0.071 +16687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.363073726,0.071 +16686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.703485607,0.071 +16688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.171338891,0.071 +16689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.226079988,0.071 +16690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.104686588,0.071 +16692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.470221577,0.071 +16691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.063400639,0.071 +16693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.214755123,0.071 +16695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.701048781,0.071 +16696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.293402179,0.071 +16694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.546555944,0.071 +16697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.023773278,0.071 +16698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.72579976,0.071 +16699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.524297833,0.071 +16700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.263942376,0.071 +16702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.681508676,0.071 +16701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.737079211,0.071 +16703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.639984415,0.071 +16705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.468552242,0.071 +16704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.566320075,0.071 +16708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.598249718,0.071 +16706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.719601,0.071 +16707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.298886449,0.071 +16709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.00687699,0.071 +16710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.761051978,0.071 +16711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.661844174,0.071 +16713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.690684044,0.071 +16714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.25132183,0.071 +16715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.012871287,0.071 +16712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.442469485,0.071 +16717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.625629204,0.071 +16718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.105834395,0.071 +16716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.812710922,0.071 +16719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.217596412,0.071 +16720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.106357072,0.071 +16721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.797435168,0.071 +16723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.593528085,0.071 +16722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.091843472,0.071 +16724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.024369394,0.071 +16725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.54711381,0.071 +16726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.066132701,0.071 +16727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.22209162,0.071 +16730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.571198261,0.071 +16729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.101562745,0.071 +16728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.392247901,0.071 +16733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.55342834,0.071 +16731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.772195546,0.071 +16735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.017091724,0.071 +16734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.316067036,0.071 +16732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.526843712,0.071 +16736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.340067767,0.071 +16737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.079418433,0.071 +16738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.597330283,0.071 +16739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.04667294,0.071 +16740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.670628119,0.071 +16741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.082346485,0.071 +16742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.60959679,0.071 +16743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.399433773,0.071 +16744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.387958269,0.071 +16745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.069307306,0.071 +16746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.539438834,0.071 +16748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.147214216,0.071 +16749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.618186161,0.071 +16747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.722715454,0.071 +16750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.039592387,0.071 +16751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.255298489,0.071 +16753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.430764503,0.071 +16752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.438488576,0.071 +16754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.332698239,0.071 +16757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.435528738,0.071 +16755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.373943635,0.071 +16756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.424213433,0.071 +16758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.700438735,0.071 +16759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.424791835,0.071 +16761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.59832249,0.071 +16760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.305383016,0.071 +16764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.310233811,0.071 +16765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.149825752,0.071 +16766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.361139197,0.071 +16763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.369266008,0.071 +16767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.317745225,0.071 +16762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.140909064,0.071 +16768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.62881224,0.071 +16769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.707451458,0.071 +16770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.271088766,0.071 +16772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.049655757,0.071 +16773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.577452195,0.071 +16771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.52288737,0.071 +16774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.258302399,0.071 +16775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.380099502,0.071 +16777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.128705492,0.071 +16776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.287036557,0.071 +16779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.739382788,0.071 +16780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.056224003,0.071 +16778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.033791385,0.071 +16782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.215204213,0.071 +16781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.654678766,0.071 +16784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.71224291,0.071 +16785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.3702502,0.071 +16783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.360568706,0.071 +16786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.480761792,0.071 +16787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.401780244,0.071 +16788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.640273075,0.071 +16789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.46598408,0.071 +16790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.732423356,0.071 +16792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.082326897,0.071 +16791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.104127294,0.071 +16793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.725990501,0.071 +16794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.785887644,0.071 +16796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.031018674,0.071 +16795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.2794724,0.071 +16797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.017478054,0.071 +16798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.648030805,0.071 +16799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.452049984,0.071 +16800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.457959625,0.071 +16802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.485899296,0.071 +16804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.054064705,0.071 +16805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.042964908,0.071 +16803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.184281759,0.071 +16806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.097065105,0.071 +16801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.398161124,0.071 +16807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.114788924,0.071 +16808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.644097813,0.071 +16809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.286534696,0.071 +16810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.542128716,0.071 +16812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.649283059,0.071 +16811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.294616395,0.071 +16813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.492061907,0.071 +16814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.049144185,0.071 +16815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.461895943,0.071 +16816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.356976542,0.071 +16817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.718006501,0.071 +16820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.367120558,0.071 +16818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.152782328,0.071 +16819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.43949528,0.071 +16821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.100701216,0.071 +16823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.14238986,0.071 +16822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.678720725,0.071 +16824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.165882399,0.071 +16828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.772563838,0.071 +16827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.037771104,0.071 +16829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.138467322,0.071 +16826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.788612816,0.071 +16825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.031344815,0.071 +16830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.223843444,0.071 +16831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.750515904,0.071 +16832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.352047269,0.071 +16833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.628667966,0.071 +16834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.778190729,0.071 +16835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.111744725,0.071 +16836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.497359506,0.071 +16837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.081316468,0.071 +16838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.211559817,0.071 +16839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.829374641,0.071 +16840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.328132659,0.071 +16841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.804262482,0.071 +16842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.617273918,0.071 +16843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.474182262,0.071 +16846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.039663377,0.071 +16845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.538697113,0.071 +16844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.003116329,0.071 +16847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.199669322,0.071 +16848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.717023127,0.071 +16849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.688426168,0.071 +16851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.725415344,0.071 +16853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.480423636,0.071 +16850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.233428656,0.071 +16854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.717841543,0.071 +16852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.15478148,0.071 +16856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.1768953,0.071 +16857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.641815781,0.071 +16858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.536242105,0.071 +16855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.665322455,0.071 +16859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.625519437,0.071 +16860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.741495859,0.071 +16861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.350161499,0.071 +16862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.31498986,0.071 +16865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.061670548,0.071 +16864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.0260026,0.071 +16863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.240969417,0.071 +16866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.053590021,0.071 +16867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.429183094,0.071 +16868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.795088618,0.071 +16869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.355212187,0.071 +16871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.576151468,0.071 +16870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.7545163,0.071 +16873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.719902454,0.071 +16872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.005340222,0.071 +16875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.803320453,0.071 +16874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.290129409,0.071 +16876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.662114194,0.071 +16877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.349385606,0.071 +16879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.006681462,0.071 +16878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.850539311,0.071 +16881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.012672053,0.071 +16882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.319312194,0.071 +16880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.016825805,0.071 +16884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.294315742,0.071 +16883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.884655112,0.071 +16887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.20077048,0.071 +16885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.287137043,0.071 +16888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.72772198,0.071 +16886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.605420515,0.071 +16889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.091530862,0.071 +16890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.538519266,0.071 +16891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.432944004,0.071 +16892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.648756321,0.071 +16894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.009021637,0.071 +16895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.320707464,0.071 +16898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.064075053,0.071 +16897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.509295523,0.071 +16893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.346047505,0.071 +16896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.613109684,0.071 +16899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.413317219,0.071 +16901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.045804221,0.071 +16902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.827334102,0.071 +16903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.329603538,0.071 +16900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.733639972,0.071 +16904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.072041417,0.071 +16905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.284590286,0.071 +16906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.249444056,0.071 +16907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.83719106,0.071 +16908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.102033025,0.071 +16912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.088174199,0.071 +16910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.229522729,0.071 +16909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.563973247,0.071 +16914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.075811798,0.071 +16915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.093590802,0.071 +16911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.227837858,0.071 +16913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.325531271,0.071 +16916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.582184851,0.071 +16918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.402413832,0.071 +16917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.453351394,0.071 +16921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.387920561,0.071 +16919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.085262642,0.071 +16920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.195146261,0.071 +16923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.55097178,0.071 +16922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.163638732,0.071 +16926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.148173674,0.071 +16924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.806020101,0.071 +16927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.236788218,0.071 +16925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.313845306,0.071 +16929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.040373262,0.071 +16930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.513297696,0.071 +16928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.329700494,0.071 +16934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.376133916,0.071 +16932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.520918931,0.071 +16933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.590240197,0.071 +16935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.042939778,0.071 +16931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.078316083,0.071 +16937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.295189565,0.071 +16936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.758148317,0.071 +16938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.256687964,0.071 +16939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.031835233,0.071 +16942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.024238513,0.071 +16940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.081274549,0.071 +16941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.320310003,0.071 +16944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.38935152,0.071 +16945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.617541545,0.071 +16943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.08238278,0.071 +16946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.185984687,0.071 +16947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.106556045,0.071 +16950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.055549645,0.071 +16949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.068093565,0.071 +16952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.615605013,0.071 +16948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.586096664,0.071 +16951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.056229311,0.071 +16953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.187696552,0.071 +16954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.762656475,0.071 +16955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.003872212,0.071 +16957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.105739523,0.071 +16959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.532324607,0.071 +16956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.432836791,0.071 +16958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.065813951,0.071 +16960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.729233862,0.071 +16962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.203841411,0.071 +16961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.070856164,0.071 +16963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.222419795,0.071 +16964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.699512459,0.071 +16965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.641936079,0.071 +16967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.477456458,0.071 +16966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.787393487,0.071 +16968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.735896153,0.071 +16969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.743025089,0.071 +16970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.288059006,0.071 +16971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.398586942,0.071 +16973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.809127131,0.071 +16972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.645390839,0.071 +16975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.08567287,0.071 +16974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.460319604,0.071 +16976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.121360471,0.071 +16977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.195384797,0.071 +16980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.348201067,0.071 +16981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.102081984,0.071 +16978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.226143449,0.071 +16979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.734375673,0.071 +16982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.716496197,0.071 +16983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.438907703,0.071 +16984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.359037806,0.071 +16985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.271164767,0.071 +16986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.571438228,0.071 +16988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.098683308,0.071 +16990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.023353916,0.071 +16989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.08549956,0.071 +16991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.023422344,0.071 +16987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.127945289,0.071 +16992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.489332431,0.071 +16993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.7086399,0.071 +16994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.207677167,0.071 +16996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.473807758,0.071 +16995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.265060376,0.071 +16997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.070345225,0.071 +16998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,0.02013937,0.071 +16999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.14319663,0.071 +17000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.8,10,1,-0.633519141,0.071 +17001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.408884651,0.066 +17003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.690563164,0.066 +17002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.572903467,0.066 +17004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.01536456,0.066 +17006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.442392411,0.066 +17007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.19911478,0.066 +17008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.637302589,0.066 +17010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.259594065,0.066 +17011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.31451348,0.066 +17009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.526914894,0.066 +17012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.214198919,0.066 +17005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.632770462,0.066 +17013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.605248514,0.066 +17014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.288899608,0.066 +17015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.432150322,0.066 +17016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.412967644,0.066 +17017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.641107979,0.066 +17019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.737249746,0.066 +17020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.320858456,0.066 +17018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.019616392,0.066 +17021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.310602012,0.066 +17022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.639812549,0.066 +17023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.677657162,0.066 +17025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.662979808,0.066 +17027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.511583188,0.066 +17024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.806093146,0.066 +17026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.447802795,0.066 +17028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.214879668,0.066 +17030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.341856463,0.066 +17032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.133391173,0.066 +17031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.790882796,0.066 +17029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.715330639,0.066 +17033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.008333305,0.066 +17034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.480524264,0.066 +17035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.035953624,0.066 +17037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.437761674,0.066 +17038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.013511851,0.066 +17039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.421357622,0.066 +17036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.53528774,0.066 +17040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.004809983,0.066 +17041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.166183996,0.066 +17042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.749695952,0.066 +17043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.613482392,0.066 +17047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.295361851,0.066 +17046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.549396618,0.066 +17048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.689362908,0.066 +17044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.302667774,0.066 +17045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.2033831,0.066 +17050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.55085333,0.066 +17049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.373941884,0.066 +17051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.631856905,0.066 +17055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.636399638,0.066 +17052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.616169856,0.066 +17053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.030514323,0.066 +17054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.732266274,0.066 +17056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.464583911,0.066 +17057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.52602963,0.066 +17058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.633455998,0.066 +17059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.406800888,0.066 +17061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.318402793,0.066 +17062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.004599333,0.066 +17060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.283816483,0.066 +17063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.789057264,0.066 +17065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.568577133,0.066 +17064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.66665582,0.066 +17066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.024604324,0.066 +17068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.114699851,0.066 +17069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.699795598,0.066 +17067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.291323271,0.066 +17070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.06671427,0.066 +17071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.026136365,0.066 +17072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.040380014,0.066 +17073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.44538361,0.066 +17074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.55027365,0.066 +17076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.145296974,0.066 +17075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.601683286,0.066 +17078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.574603717,0.066 +17077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.566407329,0.066 +17079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.031204821,0.066 +17080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.270844864,0.066 +17081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.534279468,0.066 +17082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.307472526,0.066 +17084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.485401586,0.066 +17085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.447480864,0.066 +17083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.045582034,0.066 +17088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.386122801,0.066 +17087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.438701276,0.066 +17086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.278172694,0.066 +17089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.394296161,0.066 +17090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.208351361,0.066 +17092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.146202849,0.066 +17093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.239271895,0.066 +17091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.530646011,0.066 +17095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.548123345,0.066 +17097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.603928121,0.066 +17096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.084267237,0.066 +17094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.786578822,0.066 +17098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.737874949,0.066 +17099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.470581693,0.066 +17100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.203501589,0.066 +17101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.306045037,0.066 +17102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.285170767,0.066 +17103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.72199132,0.066 +17105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.518757423,0.066 +17104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.144761409,0.066 +17106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.07305139,0.066 +17108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.194251555,0.066 +17107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.397768467,0.066 +17109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.520320025,0.066 +17110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.431641584,0.066 +17112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.123278313,0.066 +17111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.697749274,0.066 +17113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.333210077,0.066 +17114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.609507725,0.066 +17115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.554975215,0.066 +17116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.123574747,0.066 +17118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.189733969,0.066 +17117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.392211645,0.066 +17120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.28188294,0.066 +17119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.387609165,0.066 +17122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.33558271,0.066 +17121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.226277787,0.066 +17123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.165426021,0.066 +17126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.725682055,0.066 +17125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.1029719,0.066 +17124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.050227903,0.066 +17128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.157868717,0.066 +17127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.786725484,0.066 +17129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.693184989,0.066 +17130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.707909701,0.066 +17133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.412681708,0.066 +17131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.305514502,0.066 +17132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.502944012,0.066 +17134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.032880742,0.066 +17136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.091095828,0.066 +17135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.01080635,0.066 +17137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.515611109,0.066 +17139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.3700089,0.066 +17141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.496739788,0.066 +17142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.134390848,0.066 +17140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.71761324,0.066 +17138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.355597548,0.066 +17143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.301474363,0.066 +17144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.739634534,0.066 +17145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.303186135,0.066 +17147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.149215949,0.066 +17146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.111751996,0.066 +17148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.154128505,0.066 +17149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.37023812,0.066 +17151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.643657515,0.066 +17150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.424327937,0.066 +17152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.51775507,0.066 +17153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.204984882,0.066 +17156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.531109712,0.066 +17154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.209561339,0.066 +17155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.602212833,0.066 +17157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.119867192,0.066 +17158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.292628719,0.066 +17159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.685098378,0.066 +17160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.384191585,0.066 +17161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.75550864,0.066 +17164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.561374919,0.066 +17163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.717930638,0.066 +17162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.144223534,0.066 +17165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.737418694,0.066 +17166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.737755428,0.066 +17167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.068031844,0.066 +17168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.036164916,0.066 +17169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.29784069,0.066 +17170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.763509343,0.066 +17171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.504294209,0.066 +17172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.601860651,0.066 +17173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.189727449,0.066 +17174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.827933225,0.066 +17176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.660429821,0.066 +17175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.070579924,0.066 +17177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.769611989,0.066 +17178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.800557356,0.066 +17179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.430029616,0.066 +17180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.014905763,0.066 +17181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.566603841,0.066 +17182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.039090334,0.066 +17183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.501229149,0.066 +17185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.51408436,0.066 +17184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.599234819,0.066 +17186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.829809696,0.066 +17187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.753439692,0.066 +17188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.690775755,0.066 +17189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.032877269,0.066 +17190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.087280017,0.066 +17191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.520944162,0.066 +17192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.33487615,0.066 +17195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.06680024,0.066 +17193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.733996013,0.066 +17196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.39770509,0.066 +17194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.03364904,0.066 +17197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.631058093,0.066 +17198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.01985662,0.066 +17199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.023311043,0.066 +17200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.420494955,0.066 +17201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.042589839,0.066 +17204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.297180915,0.066 +17205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.047540515,0.066 +17203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.161642642,0.066 +17206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.708645143,0.066 +17202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.377704295,0.066 +17208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.340307301,0.066 +17207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.260886571,0.066 +17209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.604055504,0.066 +17210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.586389233,0.066 +17212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.354428397,0.066 +17211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.021455279,0.066 +17213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.137739445,0.066 +17214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.525960993,0.066 +17215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.211031326,0.066 +17216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.190359537,0.066 +17218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.263269379,0.066 +17217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.589943436,0.066 +17220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.682722276,0.066 +17219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.432942953,0.066 +17221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.564352864,0.066 +17223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.551405356,0.066 +17224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.650464776,0.066 +17225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.766712036,0.066 +17226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.05648293,0.066 +17227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.485404428,0.066 +17228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.653489391,0.066 +17222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.039522097,0.066 +17229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.589597682,0.066 +17231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.27622693,0.066 +17232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.573545923,0.066 +17230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.106659416,0.066 +17233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.014198017,0.066 +17234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.247010821,0.066 +17235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.185959388,0.066 +17236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.008554509,0.066 +17237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.293764935,0.066 +17240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.676978919,0.066 +17239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.680029764,0.066 +17238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.294076509,0.066 +17241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.427642368,0.066 +17243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.271026693,0.066 +17242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.059736074,0.066 +17244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.519552315,0.066 +17245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.281581466,0.066 +17247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.586927005,0.066 +17246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.39673638,0.066 +17248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.584345726,0.066 +17249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.370526709,0.066 +17251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.609260247,0.066 +17250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.090205162,0.066 +17253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.749781213,0.066 +17252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.277751501,0.066 +17254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.506527149,0.066 +17255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.562893441,0.066 +17257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.086616909,0.066 +17256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.227010736,0.066 +17258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.616838129,0.066 +17259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.138905819,0.066 +17260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.158902123,0.066 +17261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.23180012,0.066 +17262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.30443592,0.066 +17264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.708723139,0.066 +17265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.642740704,0.066 +17263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.086565478,0.066 +17267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.786322378,0.066 +17266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.374720483,0.066 +17268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.286044983,0.066 +17270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.023224059,0.066 +17269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.595329917,0.066 +17273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.211653552,0.066 +17272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.060173495,0.066 +17271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.039001076,0.066 +17274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.033457875,0.066 +17275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.161772492,0.066 +17276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.199411452,0.066 +17277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.055569704,0.066 +17279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.349120187,0.066 +17280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.468523509,0.066 +17278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.198663238,0.066 +17281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.512074393,0.066 +17282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.123379183,0.066 +17283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.715042748,0.066 +17284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.118992177,0.066 +17285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.151584626,0.066 +17287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.623130124,0.066 +17289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.052616134,0.066 +17286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.028514522,0.066 +17288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.63058791,0.066 +17290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.087089401,0.066 +17291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.449541583,0.066 +17292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.116061198,0.066 +17293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.257141778,0.066 +17294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.183241575,0.066 +17295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.369132103,0.066 +17296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.232296031,0.066 +17298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.482247659,0.066 +17299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.580959896,0.066 +17297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.652860606,0.066 +17300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.091697598,0.066 +17301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.197337268,0.066 +17302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.760541848,0.066 +17303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.202636849,0.066 +17305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.526545554,0.066 +17304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.496263863,0.066 +17306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.131110133,0.066 +17308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.273907966,0.066 +17307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.004311415,0.066 +17309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.006984112,0.066 +17310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.011766651,0.066 +17312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.764240101,0.066 +17311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.654561465,0.066 +17314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.276314589,0.066 +17313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.218674256,0.066 +17315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.207337839,0.066 +17316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.552831551,0.066 +17317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.473572814,0.066 +17318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.69341854,0.066 +17320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.402752763,0.066 +17322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.705581974,0.066 +17323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.054099251,0.066 +17319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.566403616,0.066 +17321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.327625034,0.066 +17324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.412169258,0.066 +17325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.415876192,0.066 +17326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.327981005,0.066 +17327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.523246028,0.066 +17328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.209133489,0.066 +17329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.295258049,0.066 +17330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.01222159,0.066 +17331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.243407401,0.066 +17333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.323330346,0.066 +17334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.199681918,0.066 +17332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.719550943,0.066 +17335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.652561914,0.066 +17336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.311026364,0.066 +17338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.028383023,0.066 +17339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.111531041,0.066 +17337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.185017605,0.066 +17340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.090321447,0.066 +17341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.754200093,0.066 +17343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.801199978,0.066 +17344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.519888028,0.066 +17345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.113509172,0.066 +17342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.166405636,0.066 +17347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.32856669,0.066 +17346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.369141143,0.066 +17349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.299515263,0.066 +17348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.213791457,0.066 +17351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.295800305,0.066 +17350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.686838902,0.066 +17352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.085195076,0.066 +17355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.491685702,0.066 +17353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.359726363,0.066 +17354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.442572585,0.066 +17356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.207396732,0.066 +17357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.49153408,0.066 +17358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.228180537,0.066 +17359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.746873352,0.066 +17360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.353797995,0.066 +17361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.226418488,0.066 +17363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.644463914,0.066 +17362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.322546609,0.066 +17365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.561200143,0.066 +17364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.386851187,0.066 +17367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.819926035,0.066 +17368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.278739742,0.066 +17366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.523152722,0.066 +17369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.337010741,0.066 +17370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.435050458,0.066 +17372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.068648272,0.066 +17374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.067334322,0.066 +17371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.774849982,0.066 +17376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.244870224,0.066 +17373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.69687759,0.066 +17377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.546654836,0.066 +17378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.393271944,0.066 +17375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.608568713,0.066 +17379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.713899644,0.066 +17381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.43327509,0.066 +17380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.768944395,0.066 +17382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.226602807,0.066 +17383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.030344207,0.066 +17385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.561944451,0.066 +17384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.310491981,0.066 +17387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.04027662,0.066 +17386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.566149566,0.066 +17390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.627391755,0.066 +17389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.329436593,0.066 +17388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.267082506,0.066 +17391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.099890996,0.066 +17393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.752002087,0.066 +17392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.398333508,0.066 +17394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.293326907,0.066 +17395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.22304214,0.066 +17396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.49643901,0.066 +17397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.061744159,0.066 +17398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.044783501,0.066 +17401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.055537875,0.066 +17400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.077754383,0.066 +17399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.548317442,0.066 +17404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.525215247,0.066 +17406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.434380107,0.066 +17405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.617441357,0.066 +17407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.536935668,0.066 +17402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.383209136,0.066 +17403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.24988235,0.066 +17408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.137179006,0.066 +17409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.038420266,0.066 +17410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.694136084,0.066 +17412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.518511843,0.066 +17411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.406285088,0.066 +17414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.694472444,0.066 +17413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.259565366,0.066 +17415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.737644419,0.066 +17416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.070097471,0.066 +17418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.574311558,0.066 +17417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.036750427,0.066 +17419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.356598176,0.066 +17420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.442593846,0.066 +17421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.055201576,0.066 +17423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.313290318,0.066 +17422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.56113191,0.066 +17424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.617839308,0.066 +17425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.331047089,0.066 +17426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.227085565,0.066 +17428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.038672807,0.066 +17429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.647072842,0.066 +17431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.306862564,0.066 +17432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.109067271,0.066 +17427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.406295979,0.066 +17430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.268664143,0.066 +17433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.137241,0.066 +17435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.448551604,0.066 +17437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.311868064,0.066 +17436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.084355094,0.066 +17434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.31139628,0.066 +17438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.693831437,0.066 +17439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.043533634,0.066 +17440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.660314422,0.066 +17441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.110669462,0.066 +17443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.698494267,0.066 +17442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.025610139,0.066 +17446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.514416172,0.066 +17445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.097089256,0.066 +17444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.684779785,0.066 +17448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.656919553,0.066 +17447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.513091859,0.066 +17449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.725216051,0.066 +17450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.01707715,0.066 +17451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.026508292,0.066 +17452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.021010145,0.066 +17453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.372476161,0.066 +17455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.670556288,0.066 +17454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.403061849,0.066 +17456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.53682916,0.066 +17457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.692662809,0.066 +17458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.559520084,0.066 +17460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.143300934,0.066 +17462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.0406869,0.066 +17463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.625013525,0.066 +17459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.07378875,0.066 +17461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.609058867,0.066 +17464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.140687491,0.066 +17465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.70667913,0.066 +17466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.632848039,0.066 +17467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.355017065,0.066 +17468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.661623481,0.066 +17470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.219731745,0.066 +17469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.486392054,0.066 +17472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.679428315,0.066 +17471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.233113827,0.066 +17473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.541028731,0.066 +17474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.100441171,0.066 +17476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.726051405,0.066 +17477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.013747974,0.066 +17475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.639554399,0.066 +17479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.429808928,0.066 +17478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.7695102,0.066 +17480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.556970585,0.066 +17481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.742300611,0.066 +17482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.52487966,0.066 +17483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.062271697,0.066 +17484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.363242638,0.066 +17485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.00217925,0.066 +17487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.010134002,0.066 +17486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.334125206,0.066 +17488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.684323803,0.066 +17490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.015405275,0.066 +17489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.78196008,0.066 +17492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.253697826,0.066 +17491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.617218578,0.066 +17493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.047767143,0.066 +17495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.315874703,0.066 +17494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.43704398,0.066 +17497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.010798143,0.066 +17498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.389076422,0.066 +17496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.721365547,0.066 +17500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.035988332,0.066 +17499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.281137798,0.066 +17501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.159072525,0.066 +17502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.406613585,0.066 +17503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.163279949,0.066 +17505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.097150964,0.066 +17506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.068040034,0.066 +17504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.546616805,0.066 +17508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.050206932,0.066 +17507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.164849538,0.066 +17509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.294479292,0.066 +17510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.481116762,0.066 +17511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.179468581,0.066 +17512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.361733093,0.066 +17515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.199672158,0.066 +17514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.163840066,0.066 +17513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.449898165,0.066 +17516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.762384743,0.066 +17517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.617337186,0.066 +17518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.703744588,0.066 +17519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.007574718,0.066 +17522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.440274411,0.066 +17521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.761578874,0.066 +17520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.184614543,0.066 +17525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.380350358,0.066 +17524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.061909456,0.066 +17526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.297724938,0.066 +17527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.324006549,0.066 +17523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.09847543,0.066 +17529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.014265862,0.066 +17530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.308188287,0.066 +17528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.623406656,0.066 +17533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.009842131,0.066 +17532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.029510541,0.066 +17534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.718360121,0.066 +17535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.529464948,0.066 +17531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.757463385,0.066 +17537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.138341325,0.066 +17536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.330003592,0.066 +17538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.521335015,0.066 +17539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.271077488,0.066 +17540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.779981863,0.066 +17541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.109636243,0.066 +17542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.003589738,0.066 +17543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.43459733,0.066 +17544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.772810717,0.066 +17546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.507801611,0.066 +17545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.046382695,0.066 +17547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.039989713,0.066 +17548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.581178775,0.066 +17549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.022394422,0.066 +17550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.680777054,0.066 +17552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.769740441,0.066 +17553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.836843425,0.066 +17554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.253085457,0.066 +17551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.737855387,0.066 +17555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.288710835,0.066 +17556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.118173278,0.066 +17557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.276522942,0.066 +17559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.298982068,0.066 +17558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.716246371,0.066 +17560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.690985995,0.066 +17562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.355516386,0.066 +17561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.173624783,0.066 +17565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.1087767,0.066 +17564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.627138746,0.066 +17563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.278026289,0.066 +17566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.663235538,0.066 +17568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.321338399,0.066 +17567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.137764576,0.066 +17572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.843633715,0.066 +17573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.786028772,0.066 +17570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.018796496,0.066 +17571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.015061195,0.066 +17569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.102846251,0.066 +17574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.66653794,0.066 +17575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.673121694,0.066 +17576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.16608311,0.066 +17577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.694465057,0.066 +17578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.735080171,0.066 +17579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.004200311,0.066 +17581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-5.43E-04,0.066 +17580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.078027202,0.066 +17582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.00149736,0.066 +17583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.191868723,0.066 +17584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.457606203,0.066 +17587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.537396136,0.066 +17586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.831950104,0.066 +17588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.620786506,0.066 +17590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.088836277,0.066 +17585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.320404156,0.066 +17591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.360444997,0.066 +17592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.492406924,0.066 +17589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.015123932,0.066 +17593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.462728846,0.066 +17594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.839516762,0.066 +17598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.064866781,0.066 +17596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.665763352,0.066 +17599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.122670904,0.066 +17600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.477000426,0.066 +17597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.014294565,0.066 +17595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.534667123,0.066 +17601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.112801295,0.066 +17602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.514693106,0.066 +17604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.733342698,0.066 +17605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.370940073,0.066 +17603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.005376232,0.066 +17606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.633093997,0.066 +17607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.566260389,0.066 +17608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.257036346,0.066 +17609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.00161172,0.066 +17610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.741144105,0.066 +17611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.032395834,0.066 +17613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.311412538,0.066 +17612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.373194675,0.066 +17615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.730589963,0.066 +17614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.281966907,0.066 +17617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.679163028,0.066 +17618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.205461931,0.066 +17619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.618183786,0.066 +17616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.37882408,0.066 +17620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.381710647,0.066 +17621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.079355487,0.066 +17622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.788374747,0.066 +17623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.422616572,0.066 +17624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.816012903,0.066 +17626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.365730894,0.066 +17625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.069607491,0.066 +17627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.124159408,0.066 +17629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.802496798,0.066 +17630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.195815482,0.066 +17628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.093075374,0.066 +17631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.075003906,0.066 +17632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.509848481,0.066 +17634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.725276952,0.066 +17637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.50709159,0.066 +17636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.340239466,0.066 +17633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.077550208,0.066 +17635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.12446541,0.066 +17638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.038683498,0.066 +17639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.465370132,0.066 +17641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.008248531,0.066 +17642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.688687676,0.066 +17643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.558589277,0.066 +17644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.409303945,0.066 +17640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.706160231,0.066 +17646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.239973931,0.066 +17647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.523882719,0.066 +17645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.181310665,0.066 +17648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.050166265,0.066 +17650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.164294665,0.066 +17651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.361500484,0.066 +17652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.259140137,0.066 +17649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.249704736,0.066 +17653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.628715753,0.066 +17654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.611739848,0.066 +17656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.682395483,0.066 +17655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.748689168,0.066 +17657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.03414212,0.066 +17658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.216087005,0.066 +17659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.599939398,0.066 +17660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.751903474,0.066 +17661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.522717466,0.066 +17662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.549024286,0.066 +17663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.716471588,0.066 +17664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.352500806,0.066 +17665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.105344131,0.066 +17666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.070523041,0.066 +17667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.439083684,0.066 +17668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.013705806,0.066 +17670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.306522093,0.066 +17669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.731079522,0.066 +17671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.407067774,0.066 +17673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.795144265,0.066 +17674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.045193666,0.066 +17672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.151159883,0.066 +17675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.042343079,0.066 +17676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.073293118,0.066 +17677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.010546666,0.066 +17679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.405106008,0.066 +17680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.316452361,0.066 +17681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.576146128,0.066 +17678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.612073132,0.066 +17683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.105822637,0.066 +17684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.324706899,0.066 +17682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.519576099,0.066 +17685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.240653318,0.066 +17686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.623103789,0.066 +17688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.727546306,0.066 +17689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.333942583,0.066 +17687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.371393911,0.066 +17690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.835206904,0.066 +17691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.249210033,0.066 +17692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.400405344,0.066 +17693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.146755354,0.066 +17694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.390117711,0.066 +17695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.410146184,0.066 +17696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.439913771,0.066 +17697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.28576802,0.066 +17699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.638678337,0.066 +17698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.260435526,0.066 +17700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.629324598,0.066 +17701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.275913056,0.066 +17703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.47159089,0.066 +17702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.457086319,0.066 +17705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.394750207,0.066 +17704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.614442928,0.066 +17706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.496884503,0.066 +17707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.2987114,0.066 +17709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.670764054,0.066 +17708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.81586633,0.066 +17711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.009088995,0.066 +17710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.389181929,0.066 +17712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.580819727,0.066 +17713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.208434716,0.066 +17714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.536431666,0.066 +17715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.133789236,0.066 +17716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.128258462,0.066 +17717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.507493823,0.066 +17719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.376728566,0.066 +17720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.207597193,0.066 +17721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.706339706,0.066 +17718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.18017651,0.066 +17722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.252943929,0.066 +17724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.016864057,0.066 +17726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.826701714,0.066 +17723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.601514164,0.066 +17727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.273166124,0.066 +17729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.036787144,0.066 +17725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.855916815,0.066 +17728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.473227865,0.066 +17730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.779631838,0.066 +17732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.455171377,0.066 +17733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.46009911,0.066 +17735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.202672795,0.066 +17731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.3904324,0.066 +17734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.423762502,0.066 +17737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.009919218,0.066 +17738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.624071105,0.066 +17736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.29445901,0.066 +17739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.153388741,0.066 +17742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.497155909,0.066 +17741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.54822434,0.066 +17743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.02669373,0.066 +17740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.11198537,0.066 +17745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.014801844,0.066 +17744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.797652043,0.066 +17747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.653939015,0.066 +17746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.319845795,0.066 +17750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.815508471,0.066 +17751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.491102396,0.066 +17748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.012771364,0.066 +17749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.137304424,0.066 +17752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.150343293,0.066 +17753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.604130206,0.066 +17754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.047523105,0.066 +17755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.75480561,0.066 +17757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.700012618,0.066 +17756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.33740802,0.066 +17758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.376033966,0.066 +17759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.322042903,0.066 +17760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.631168158,0.066 +17761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.467486713,0.066 +17762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.760563805,0.066 +17766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.628883721,0.066 +17763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.399281919,0.066 +17764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.53370114,0.066 +17765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.482045233,0.066 +17767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.19816701,0.066 +17768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.784051867,0.066 +17769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.644467248,0.066 +17771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.203005046,0.066 +17770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.381796958,0.066 +17773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.507665434,0.066 +17772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.405851552,0.066 +17774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.85687373,0.066 +17776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.604428066,0.066 +17775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.221786445,0.066 +17777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.287627266,0.066 +17778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.112440558,0.066 +17779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.51754031,0.066 +17780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.126633425,0.066 +17781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.259384525,0.066 +17783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.671902007,0.066 +17782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.747111114,0.066 +17784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,1.83E-04,0.066 +17786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.255717717,0.066 +17785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.174346561,0.066 +17787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.625832317,0.066 +17788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.377545646,0.066 +17789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.429625711,0.066 +17790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.907148899,0.066 +17792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.474642351,0.066 +17791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.519373895,0.066 +17793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.074873888,0.066 +17794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.06514635,0.066 +17796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.355881757,0.066 +17795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.679507811,0.066 +17797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.01897348,0.066 +17798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.014612505,0.066 +17799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.691068662,0.066 +17800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.741875834,0.066 +17801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.039804278,0.066 +17802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.074764184,0.066 +17803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.009969715,0.066 +17805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.560257617,0.066 +17806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.123779278,0.066 +17804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.696919295,0.066 +17807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.390347209,0.066 +17809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.737917525,0.066 +17810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.382495181,0.066 +17808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.368182743,0.066 +17811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.773584938,0.066 +17813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.310710954,0.066 +17812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.112014698,0.066 +17814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.31396544,0.066 +17815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.658026904,0.066 +17817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.631656208,0.066 +17816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.070983966,0.066 +17819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.286422933,0.066 +17820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.562106648,0.066 +17818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.551037091,0.066 +17822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.501986334,0.066 +17821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.345205079,0.066 +17823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.414618821,0.066 +17824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.327305046,0.066 +17826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.385527903,0.066 +17829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.478766385,0.066 +17825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.376298033,0.066 +17830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.418682574,0.066 +17827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.197517476,0.066 +17831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.571997427,0.066 +17828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.391743016,0.066 +17833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.310763847,0.066 +17832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.662733648,0.066 +17834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.649373013,0.066 +17836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.575992826,0.066 +17835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.837290409,0.066 +17838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.018106826,0.066 +17837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.54739933,0.066 +17839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.687164705,0.066 +17840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.463982068,0.066 +17842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.466073249,0.066 +17841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.092828394,0.066 +17844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.596094873,0.066 +17843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.511324697,0.066 +17845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.184368098,0.066 +17846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.025121414,0.066 +17848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.669278117,0.066 +17847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.31901459,0.066 +17849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.31017355,0.066 +17850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.042333823,0.066 +17851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.192889081,0.066 +17852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.748279647,0.066 +17853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.295818465,0.066 +17854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.124862231,0.066 +17855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.430099457,0.066 +17857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.43216745,0.066 +17858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.011885241,0.066 +17859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.329770624,0.066 +17860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.685564441,0.066 +17861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.056886954,0.066 +17862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.790342021,0.066 +17856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.058367757,0.066 +17863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.058129529,0.066 +17865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.488225507,0.066 +17864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.375082788,0.066 +17867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.48456142,0.066 +17866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.049474812,0.066 +17869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.79609429,0.066 +17868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.750382786,0.066 +17871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.6191572,0.066 +17872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.450763375,0.066 +17870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.402546484,0.066 +17873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.619221371,0.066 +17874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.502134935,0.066 +17875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.203312577,0.066 +17877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.437685758,0.066 +17876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.32536384,0.066 +17879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.639889949,0.066 +17878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.459888834,0.066 +17881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.176310017,0.066 +17880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.327618424,0.066 +17882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.711408625,0.066 +17883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.132066596,0.066 +17884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.141028005,0.066 +17885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.780571141,0.066 +17887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.070594239,0.066 +17890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.320434253,0.066 +17888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.426449772,0.066 +17886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.524464205,0.066 +17889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.012759063,0.066 +17892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.378266485,0.066 +17893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.481549025,0.066 +17891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.458508433,0.066 +17894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.098164251,0.066 +17895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.216213197,0.066 +17896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.108754529,0.066 +17897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.320141691,0.066 +17899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.401914968,0.066 +17901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.68680744,0.066 +17900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.157828495,0.066 +17902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.331258097,0.066 +17903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.709367801,0.066 +17898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.018924862,0.066 +17904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.321560485,0.066 +17906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.455487181,0.066 +17905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.218761472,0.066 +17907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.192513123,0.066 +17908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.107485251,0.066 +17909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.409579288,0.066 +17910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.039968218,0.066 +17911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.883127735,0.066 +17912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.581939671,0.066 +17914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.474589466,0.066 +17913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.758020381,0.066 +17915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.690710775,0.066 +17916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.531709116,0.066 +17917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.05058611,0.066 +17918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.346152775,0.066 +17920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.036818171,0.066 +17921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.076498699,0.066 +17922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.540589942,0.066 +17923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.242810604,0.066 +17924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.011791802,0.066 +17925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.709901633,0.066 +17919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.349937881,0.066 +17926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.426243058,0.066 +17927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.592689916,0.066 +17929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.035203432,0.066 +17928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.395112367,0.066 +17930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.333846233,0.066 +17931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.759690225,0.066 +17932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.564434271,0.066 +17933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.045240212,0.066 +17934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.189228977,0.066 +17937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.58528506,0.066 +17936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.816886639,0.066 +17938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.23250768,0.066 +17935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.375628664,0.066 +17939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.030867355,0.066 +17940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.380233309,0.066 +17942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.217777854,0.066 +17941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.166256655,0.066 +17944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.181105039,0.066 +17945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.225205808,0.066 +17946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.225036896,0.066 +17947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.177748161,0.066 +17943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.128388337,0.066 +17948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.076383382,0.066 +17949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.474738628,0.066 +17950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.240058402,0.066 +17953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.173773062,0.066 +17952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.208072428,0.066 +17951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.211072118,0.066 +17955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.113378696,0.066 +17956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.383017533,0.066 +17957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.388529778,0.066 +17954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.608656624,0.066 +17959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.168584733,0.066 +17961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.20485496,0.066 +17960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.720380146,0.066 +17962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.027201348,0.066 +17963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.066623751,0.066 +17964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.366910207,0.066 +17965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.584838532,0.066 +17958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.190981361,0.066 +17968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.00743878,0.066 +17966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.328804279,0.066 +17970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.745323807,0.066 +17967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.129695333,0.066 +17971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-9.99E-04,0.066 +17969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.105390204,0.066 +17972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.321085302,0.066 +17973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.778270409,0.066 +17975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.041934231,0.066 +17977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.023822128,0.066 +17974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.132264504,0.066 +17979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.047592268,0.066 +17976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.113746777,0.066 +17978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.259407515,0.066 +17980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.066733982,0.066 +17982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.519332323,0.066 +17981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.70316988,0.066 +17984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.774532091,0.066 +17986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.100038914,0.066 +17985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.131936672,0.066 +17987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.418103295,0.066 +17983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.006167812,0.066 +17988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.115555969,0.066 +17989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,0.032366395,0.066 +17990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.393804444,0.066 +17991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.5081739,0.066 +17995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.223660351,0.066 +17994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.489720658,0.066 +17993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.460234319,0.066 +17992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.103738085,0.066 +17996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.520889751,0.066 +17997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.86872416,0.066 +17999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.305942165,0.066 +18000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.647500386,0.066 +17998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.85,10,1,-0.499295423,0.066 +18002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.092596193,0.066 +18003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.688289256,0.066 +18004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.292044577,0.066 +18001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.157215599,0.066 +18005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.67502982,0.066 +18006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.405844508,0.066 +18008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.144007296,0.066 +18009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.252783861,0.066 +18007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.429146941,0.066 +18010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.62611858,0.066 +18011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.019094598,0.066 +18012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.687316193,0.066 +18013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.531354185,0.066 +18014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.218617361,0.066 +18017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.269024737,0.066 +18016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.120150035,0.066 +18018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.39035144,0.066 +18015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.789672245,0.066 +18020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.16276978,0.066 +18021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.052924031,0.066 +18019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.188855435,0.066 +18022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.037572635,0.066 +18024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.681009195,0.066 +18023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.086311435,0.066 +18025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.511217731,0.066 +18027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.759830474,0.066 +18028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.480579471,0.066 +18026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.465031139,0.066 +18029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.512001122,0.066 +18030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.264755858,0.066 +18031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.704943617,0.066 +18032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.56148718,0.066 +18034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.340704391,0.066 +18035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.477829173,0.066 +18033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.174773867,0.066 +18037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.308867378,0.066 +18038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.65822267,0.066 +18039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.280207576,0.066 +18040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.448796111,0.066 +18036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.642416172,0.066 +18041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.010992968,0.066 +18043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.268684587,0.066 +18042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.379634701,0.066 +18045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.70457662,0.066 +18044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.524312393,0.066 +18046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.221284283,0.066 +18048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.279483071,0.066 +18047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.768175669,0.066 +18049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.61619103,0.066 +18050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.545054296,0.066 +18051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.383349906,0.066 +18053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.738499249,0.066 +18054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.144500098,0.066 +18052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.653680757,0.066 +18056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.756794272,0.066 +18057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.087035498,0.066 +18059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.788770475,0.066 +18055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.32017702,0.066 +18058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.101434017,0.066 +18061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.47807404,0.066 +18062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.38459824,0.066 +18060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.392622259,0.066 +18063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.727623767,0.066 +18066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.132343018,0.066 +18065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.407441588,0.066 +18064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.096342114,0.066 +18067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.200638819,0.066 +18070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.368149886,0.066 +18069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.096975489,0.066 +18068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.550844886,0.066 +18071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.070174436,0.066 +18073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.299733855,0.066 +18074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.375834023,0.066 +18072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.531137054,0.066 +18075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.480329671,0.066 +18076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.542929562,0.066 +18078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.660031047,0.066 +18077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.769472651,0.066 +18079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.044075131,0.066 +18080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.707741523,0.066 +18081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.113389561,0.066 +18083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.051272853,0.066 +18084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.034424123,0.066 +18085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.633542728,0.066 +18082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.612004062,0.066 +18086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.687511746,0.066 +18087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.565735866,0.066 +18089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.050844157,0.066 +18088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.714641738,0.066 +18090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.075826977,0.066 +18091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.577788002,0.066 +18092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.679229637,0.066 +18093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.393358262,0.066 +18095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.025930954,0.066 +18094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.151326942,0.066 +18097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.46527465,0.066 +18096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.694154793,0.066 +18099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.191187382,0.066 +18100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.554883119,0.066 +18098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.126970678,0.066 +18103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.604286926,0.066 +18102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.35095984,0.066 +18101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.662050902,0.066 +18104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.028838887,0.066 +18105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.657267535,0.066 +18106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.588774834,0.066 +18108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.908323378,0.066 +18107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.290069898,0.066 +18109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.066084501,0.066 +18110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.168610862,0.066 +18113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.753682114,0.066 +18112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.433881609,0.066 +18115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.579487411,0.066 +18111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.37455395,0.066 +18114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.174734799,0.066 +18116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.067165492,0.066 +18117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.652343643,0.066 +18118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.303898341,0.066 +18120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.299264447,0.066 +18123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.056695707,0.066 +18119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.046346988,0.066 +18122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.006829299,0.066 +18124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.010607883,0.066 +18125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.417097176,0.066 +18121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.72274621,0.066 +18126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.481081967,0.066 +18127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.224822754,0.066 +18128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.045046988,0.066 +18129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.602533852,0.066 +18131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.068202535,0.066 +18132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.481687224,0.066 +18133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.802815713,0.066 +18130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.698126462,0.066 +18134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.803524967,0.066 +18135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.247620947,0.066 +18138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.749864764,0.066 +18137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.061328561,0.066 +18139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.572985659,0.066 +18136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.710547189,0.066 +18140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.617772208,0.066 +18141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.308635121,0.066 +18143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.791704154,0.066 +18145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.027320995,0.066 +18142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.274097091,0.066 +18147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.559850925,0.066 +18144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.717348772,0.066 +18146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.362647652,0.066 +18148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.56953042,0.066 +18150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.596008291,0.066 +18151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.09096956,0.066 +18152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.721949075,0.066 +18154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.384376269,0.066 +18149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.048775156,0.066 +18153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.004664586,0.066 +18155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.50846764,0.066 +18156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.111270644,0.066 +18157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.022693347,0.066 +18160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.606840584,0.066 +18162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.805772785,0.066 +18158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.074225313,0.066 +18159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.538672786,0.066 +18161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.426618737,0.066 +18164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.129865114,0.066 +18163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.213684294,0.066 +18165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.069263377,0.066 +18166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.550513269,0.066 +18167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.484864505,0.066 +18170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.055778422,0.066 +18168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.333022277,0.066 +18171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.515291712,0.066 +18169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.330177916,0.066 +18172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.754773002,0.066 +18173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.33563151,0.066 +18174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.557868984,0.066 +18175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.706377397,0.066 +18176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.143341894,0.066 +18178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.062473798,0.066 +18177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.653278283,0.066 +18179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.190088642,0.066 +18180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.713815182,0.066 +18181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.399093773,0.066 +18182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.754892077,0.066 +18183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.006209551,0.066 +18184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.144162453,0.066 +18186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.472637646,0.066 +18188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.689201684,0.066 +18185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.638979121,0.066 +18189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.017512998,0.066 +18187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.101628279,0.066 +18190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.522569109,0.066 +18191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.263021049,0.066 +18192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.538563036,0.066 +18193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.447134045,0.066 +18194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.01943519,0.066 +18195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.889583013,0.066 +18197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.878504589,0.066 +18198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.74999968,0.066 +18196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.195795552,0.066 +18199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.379924468,0.066 +18200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.206296448,0.066 +18203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.464281537,0.066 +18201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.034422059,0.066 +18204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.658326765,0.066 +18205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.467828572,0.066 +18202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.41114113,0.066 +18207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.466086315,0.066 +18206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.472824207,0.066 +18208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.05767293,0.066 +18209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.236479287,0.066 +18210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.563159648,0.066 +18211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.720683441,0.066 +18212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.482781647,0.066 +18213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.4783582,0.066 +18214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.07708106,0.066 +18215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.505292597,0.066 +18216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.01092087,0.066 +18218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.380728302,0.066 +18217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.448596361,0.066 +18219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.204674791,0.066 +18220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.644374656,0.066 +18223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.020054047,0.066 +18222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.117173854,0.066 +18221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.356381225,0.066 +18224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.161099217,0.066 +18226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.611625299,0.066 +18228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.764599545,0.066 +18227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.04251571,0.066 +18229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.753466105,0.066 +18230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.079415818,0.066 +18225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.565104213,0.066 +18231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.004325789,0.066 +18232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.529158049,0.066 +18233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.669056519,0.066 +18234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.191243865,0.066 +18235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.406496434,0.066 +18236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.424905082,0.066 +18237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.213156465,0.066 +18238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.70810967,0.066 +18240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.607772669,0.066 +18239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.412062876,0.066 +18243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.591362352,0.066 +18241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.404943587,0.066 +18242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.495452276,0.066 +18245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.639670442,0.066 +18244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.429240974,0.066 +18246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.403963108,0.066 +18247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.338579375,0.066 +18248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.334251156,0.066 +18250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.540084583,0.066 +18249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.069341713,0.066 +18253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.691373458,0.066 +18251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.743366189,0.066 +18252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.739571735,0.066 +18254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.006635718,0.066 +18255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.663244253,0.066 +18257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.675450906,0.066 +18256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.038449573,0.066 +18260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.266590015,0.066 +18259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.180556278,0.066 +18258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.635239282,0.066 +18261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.573498122,0.066 +18262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.675312549,0.066 +18263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.07039752,0.066 +18264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.07902624,0.066 +18268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.167760806,0.066 +18267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.497098434,0.066 +18266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.252438447,0.066 +18265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.407271652,0.066 +18269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.427179823,0.066 +18270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.091900326,0.066 +18271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.047091494,0.066 +18272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.136573561,0.066 +18274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.4925353,0.066 +18273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.653442889,0.066 +18275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.038556939,0.066 +18277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.555235297,0.066 +18278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.231165571,0.066 +18279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.139572563,0.066 +18276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.497328977,0.066 +18281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.057734448,0.066 +18282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,9.03E-04,0.066 +18280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.379849378,0.066 +18283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.747656817,0.066 +18284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.062931135,0.066 +18286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.892822934,0.066 +18285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.512737033,0.066 +18288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.369373206,0.066 +18289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.527724418,0.066 +18290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.123520485,0.066 +18291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.057731372,0.066 +18287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.730391898,0.066 +18292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.625458065,0.066 +18293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.539288227,0.066 +18294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.535540423,0.066 +18295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.066269819,0.066 +18297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.343142494,0.066 +18296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.47435486,0.066 +18298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.544474518,0.066 +18300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.390188732,0.066 +18299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.319283118,0.066 +18301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.330228831,0.066 +18303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.274250417,0.066 +18302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.239945353,0.066 +18304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.294842207,0.066 +18305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.418855907,0.066 +18306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.184237017,0.066 +18307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.206176406,0.066 +18309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.629617048,0.066 +18310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.297872109,0.066 +18311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.513368048,0.066 +18312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.407096122,0.066 +18308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.815909628,0.066 +18313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.208863567,0.066 +18314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.110726938,0.066 +18315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.017167976,0.066 +18318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.652511461,0.066 +18316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.764084084,0.066 +18317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.69713872,0.066 +18319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.197743919,0.066 +18321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.516765428,0.066 +18322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.325603997,0.066 +18320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.357463859,0.066 +18323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.243774011,0.066 +18326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.256854526,0.066 +18325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.137073797,0.066 +18324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.323053495,0.066 +18328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.394715547,0.066 +18327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.304840209,0.066 +18329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.381905106,0.066 +18330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.172681718,0.066 +18331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.233316921,0.066 +18333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.174317208,0.066 +18334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.068274257,0.066 +18332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.741589846,0.066 +18335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.655454034,0.066 +18336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.134944671,0.066 +18337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.001056196,0.066 +18338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.560638602,0.066 +18339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.076634438,0.066 +18340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.748481731,0.066 +18341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.344982466,0.066 +18342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.234649462,0.066 +18343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.417290497,0.066 +18344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.315378245,0.066 +18345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.7196015,0.066 +18346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.660649266,0.066 +18347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.301812991,0.066 +18348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.449156077,0.066 +18349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.469790793,0.066 +18351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.410522111,0.066 +18350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.356874979,0.066 +18352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.390950097,0.066 +18353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.757162344,0.066 +18354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.692917535,0.066 +18355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.161545922,0.066 +18356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.184888914,0.066 +18357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.740370107,0.066 +18358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.589171582,0.066 +18360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.758765046,0.066 +18359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.275720193,0.066 +18361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.037666098,0.066 +18364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.042981557,0.066 +18363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.703713045,0.066 +18362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.266112142,0.066 +18365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.260854413,0.066 +18366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.665109436,0.066 +18367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.212928044,0.066 +18368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.538012872,0.066 +18369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.573061356,0.066 +18370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.294439942,0.066 +18371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.199278486,0.066 +18373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.393048244,0.066 +18374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.665623613,0.066 +18375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.772088866,0.066 +18376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.402655004,0.066 +18377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.011665762,0.066 +18378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.671979524,0.066 +18372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.260415963,0.066 +18379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.360249477,0.066 +18380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.660805862,0.066 +18381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.267820302,0.066 +18383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.369344336,0.066 +18382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.373041687,0.066 +18384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.678997689,0.066 +18385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.685089669,0.066 +18386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.307053057,0.066 +18388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.620142458,0.066 +18389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.698516343,0.066 +18390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.574692483,0.066 +18387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.106453286,0.066 +18391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.501464229,0.066 +18392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.657887475,0.066 +18393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.411278174,0.066 +18395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.179200902,0.066 +18394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.487187923,0.066 +18396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.41528373,0.066 +18397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.108554996,0.066 +18398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.448391745,0.066 +18399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.135320835,0.066 +18400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.073484662,0.066 +18401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.40265392,0.066 +18402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.025265362,0.066 +18404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.01178621,0.066 +18405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.069750882,0.066 +18403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.709001973,0.066 +18407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.433947796,0.066 +18406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.625836239,0.066 +18408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.200950316,0.066 +18410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.425396917,0.066 +18409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.403667516,0.066 +18411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.23940891,0.066 +18412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.706379154,0.066 +18413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.260444904,0.066 +18414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.166280851,0.066 +18416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.586821629,0.066 +18415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.331040434,0.066 +18417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.632434143,0.066 +18418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.201127636,0.066 +18419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.648741614,0.066 +18420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.41222419,0.066 +18422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.850051816,0.066 +18423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.361629421,0.066 +18424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.025631458,0.066 +18421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.538473699,0.066 +18426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.204801979,0.066 +18425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.612016102,0.066 +18427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.593279419,0.066 +18428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.022698168,0.066 +18429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.783991915,0.066 +18430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.584984344,0.066 +18431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.714995772,0.066 +18432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.146802145,0.066 +18433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.177278015,0.066 +18434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.315953184,0.066 +18436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.728177627,0.066 +18435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.261739773,0.066 +18437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.503006175,0.066 +18439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.885077765,0.066 +18438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.664303218,0.066 +18441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.543539932,0.066 +18442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.28030232,0.066 +18443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.387135665,0.066 +18440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.190162955,0.066 +18444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.221304776,0.066 +18445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.250680341,0.066 +18446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.677538591,0.066 +18447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.233361779,0.066 +18449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.132350345,0.066 +18448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.026912966,0.066 +18451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.109332285,0.066 +18452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.140711875,0.066 +18453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.293990631,0.066 +18454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.198589598,0.066 +18455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.322659269,0.066 +18450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.587197594,0.066 +18456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.854884746,0.066 +18457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.719735575,0.066 +18459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.820344909,0.066 +18460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.339004825,0.066 +18461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.444757241,0.066 +18462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.037868641,0.066 +18463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.685125428,0.066 +18458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.052795566,0.066 +18464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.305475055,0.066 +18465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.206928979,0.066 +18466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.669032255,0.066 +18467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.413909075,0.066 +18469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.115511965,0.066 +18468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.628255393,0.066 +18470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.716767238,0.066 +18471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.510939601,0.066 +18472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.511675424,0.066 +18473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.667504543,0.066 +18474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.444723499,0.066 +18475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.451464706,0.066 +18476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.106544348,0.066 +18478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.340837017,0.066 +18477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.049625912,0.066 +18480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.679673773,0.066 +18479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.086669008,0.066 +18481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.387571952,0.066 +18482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.360254806,0.066 +18483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.549063355,0.066 +18486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.032810952,0.066 +18484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.020046726,0.066 +18485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.294315186,0.066 +18487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.20503444,0.066 +18489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.535146582,0.066 +18488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.072601079,0.066 +18490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.706913672,0.066 +18491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.022450664,0.066 +18492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.759905718,0.066 +18493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.445259139,0.066 +18494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.735232085,0.066 +18495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.713433464,0.066 +18496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.734114343,0.066 +18498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.007049452,0.066 +18497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.857381637,0.066 +18501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.541048307,0.066 +18502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.542355823,0.066 +18500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.56770159,0.066 +18499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.661401507,0.066 +18503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.570079499,0.066 +18504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.618552769,0.066 +18505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.421287639,0.066 +18507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.70920598,0.066 +18506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.00775459,0.066 +18509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.069064632,0.066 +18508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.700506365,0.066 +18510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.240531526,0.066 +18511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.621979871,0.066 +18512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.027990496,0.066 +18513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.89633263,0.066 +18516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.029445432,0.066 +18515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.760815084,0.066 +18514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.41817839,0.066 +18517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.613725458,0.066 +18518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.224710477,0.066 +18520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.645569702,0.066 +18519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.888895601,0.066 +18521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.754961976,0.066 +18522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.5015507,0.066 +18523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.422278951,0.066 +18524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.292063462,0.066 +18525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.070477466,0.066 +18526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.149850437,0.066 +18527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.391939729,0.066 +18528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.798017563,0.066 +18529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.085312397,0.066 +18530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.046422248,0.066 +18533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.83235639,0.066 +18532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.565838861,0.066 +18531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.78886991,0.066 +18534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.641278831,0.066 +18535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.652930461,0.066 +18536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.267872458,0.066 +18537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.400661511,0.066 +18539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.750367642,0.066 +18538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.27249519,0.066 +18543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.738881626,0.066 +18540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.428775708,0.066 +18541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.292440979,0.066 +18542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.462513916,0.066 +18544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.325762087,0.066 +18545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.201268294,0.066 +18546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.662916762,0.066 +18547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.61111054,0.066 +18548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.024181025,0.066 +18549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.634337624,0.066 +18551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.166626381,0.066 +18552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.375119137,0.066 +18550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.725419906,0.066 +18553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.137605062,0.066 +18554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.562225296,0.066 +18555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.079328145,0.066 +18556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.308377313,0.066 +18557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.290212898,0.066 +18559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.169789119,0.066 +18560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.591291129,0.066 +18561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.155871579,0.066 +18558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.077782403,0.066 +18562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.584448318,0.066 +18563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.559679434,0.066 +18565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.076685355,0.066 +18566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.418963134,0.066 +18564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.227770369,0.066 +18569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.275488739,0.066 +18568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.242643501,0.066 +18570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.323214988,0.066 +18567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.424107571,0.066 +18571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.051431869,0.066 +18574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.485273631,0.066 +18573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.338628258,0.066 +18572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.457930398,0.066 +18575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.592769592,0.066 +18576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.179551822,0.066 +18577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.450985718,0.066 +18579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.216180326,0.066 +18581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.570048319,0.066 +18578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.462848976,0.066 +18582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.306576912,0.066 +18580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.229530989,0.066 +18583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.309277819,0.066 +18584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.641107317,0.066 +18586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.698355366,0.066 +18585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.713484534,0.066 +18587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.600230861,0.066 +18589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.144004535,0.066 +18588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.286851751,0.066 +18590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.671099229,0.066 +18591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.54995957,0.066 +18592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.352680445,0.066 +18594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.092521382,0.066 +18593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.106773126,0.066 +18598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.557074108,0.066 +18596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.359621439,0.066 +18595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.557437579,0.066 +18597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.371470326,0.066 +18600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.178574968,0.066 +18599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.095560624,0.066 +18601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.361825887,0.066 +18605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.190731482,0.066 +18604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.418888126,0.066 +18603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.567741672,0.066 +18602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.488259687,0.066 +18606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.677383697,0.066 +18607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.003216985,0.066 +18608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.077858212,0.066 +18609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.155146025,0.066 +18610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.552858047,0.066 +18611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.018001318,0.066 +18612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.066035115,0.066 +18613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.67948576,0.066 +18616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.092215462,0.066 +18615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.460869435,0.066 +18614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.742697521,0.066 +18617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.175203163,0.066 +18619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.211560221,0.066 +18620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.189967582,0.066 +18618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.722236811,0.066 +18621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.498112212,0.066 +18622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.200576004,0.066 +18623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.6249871,0.066 +18624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.433472089,0.066 +18626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.737693909,0.066 +18625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.057791845,0.066 +18628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.640325991,0.066 +18629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.711757756,0.066 +18627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.024770784,0.066 +18630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.43690445,0.066 +18631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.399459408,0.066 +18634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.070905841,0.066 +18633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.570946475,0.066 +18632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.56549844,0.066 +18637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.075672884,0.066 +18636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.531061008,0.066 +18635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.015693564,0.066 +18638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.725558404,0.066 +18639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.242075714,0.066 +18640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.292812986,0.066 +18641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.738463511,0.066 +18643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.002669677,0.066 +18642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.765914333,0.066 +18644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.685851904,0.066 +18646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.152707167,0.066 +18645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.11060495,0.066 +18647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.030811934,0.066 +18648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.11917873,0.066 +18650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.293904935,0.066 +18649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.036803535,0.066 +18652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.305300647,0.066 +18653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.322257072,0.066 +18651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.577581378,0.066 +18655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.467682847,0.066 +18656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.529591421,0.066 +18654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.394272383,0.066 +18657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.620862564,0.066 +18658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.293147392,0.066 +18659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.219363137,0.066 +18660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.383164659,0.066 +18662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.30629002,0.066 +18661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.169507982,0.066 +18664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.6069674,0.066 +18663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.442457783,0.066 +18666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.409741006,0.066 +18665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.75361569,0.066 +18667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.558680675,0.066 +18668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.698056637,0.066 +18669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.125305066,0.066 +18671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.465648986,0.066 +18670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.168575884,0.066 +18672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.359116245,0.066 +18674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.06993923,0.066 +18673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.725030497,0.066 +18676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.595667254,0.066 +18675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.293014964,0.066 +18677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.634526209,0.066 +18678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.028411165,0.066 +18679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.001633911,0.066 +18680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.118503931,0.066 +18681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.291509117,0.066 +18682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.346009221,0.066 +18683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.377524594,0.066 +18685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.120808532,0.066 +18684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.679781587,0.066 +18686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.647100943,0.066 +18689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.091863365,0.066 +18688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.644436323,0.066 +18687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.685150675,0.066 +18690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.334868741,0.066 +18691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.726095279,0.066 +18693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.357939254,0.066 +18692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.154904418,0.066 +18694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.012494634,0.066 +18695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.161302905,0.066 +18696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.022522843,0.066 +18697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.450993357,0.066 +18698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.075844706,0.066 +18699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.378151574,0.066 +18702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.201232545,0.066 +18701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.756386843,0.066 +18700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.588131649,0.066 +18704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.708254057,0.066 +18703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.014608972,0.066 +18706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.471036678,0.066 +18705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.605744239,0.066 +18708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.374782953,0.066 +18707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.778900472,0.066 +18710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-2.40E-04,0.066 +18709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.070819151,0.066 +18711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.131601036,0.066 +18712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.013846049,0.066 +18716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.609730801,0.066 +18713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.289848117,0.066 +18714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.741397779,0.066 +18717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.11757557,0.066 +18715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.475541925,0.066 +18719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.229637609,0.066 +18718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.665391638,0.066 +18720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.142480908,0.066 +18721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.287014398,0.066 +18723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.685157737,0.066 +18725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.11119458,0.066 +18724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.210303224,0.066 +18727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.799578572,0.066 +18726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.449332052,0.066 +18728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.593240047,0.066 +18722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.585774181,0.066 +18729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.721924696,0.066 +18730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.420395969,0.066 +18733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.539324022,0.066 +18732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.382171123,0.066 +18734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.740069297,0.066 +18731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.166158109,0.066 +18735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.533714001,0.066 +18736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.657437692,0.066 +18737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.008937496,0.066 +18738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.290163695,0.066 +18740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.487329307,0.066 +18742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.098988873,0.066 +18743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.732445452,0.066 +18741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.781422428,0.066 +18739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.240803095,0.066 +18745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.071408444,0.066 +18746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.396081977,0.066 +18747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.054683991,0.066 +18749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.347336608,0.066 +18750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.678926917,0.066 +18748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.266488166,0.066 +18744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.43187101,0.066 +18751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.624263566,0.066 +18753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.307477396,0.066 +18755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.040902593,0.066 +18757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.046848338,0.066 +18754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.482208498,0.066 +18758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.495799122,0.066 +18752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.179678082,0.066 +18756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.353358332,0.066 +18759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.498195035,0.066 +18760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.54868271,0.066 +18762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.386501834,0.066 +18763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.447995635,0.066 +18766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.077316327,0.066 +18765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.597736173,0.066 +18767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.020458061,0.066 +18764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.535181572,0.066 +18761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.061705273,0.066 +18768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.622859243,0.066 +18769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.534926416,0.066 +18770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.695670818,0.066 +18773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.769170503,0.066 +18771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.715906181,0.066 +18772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.443931166,0.066 +18774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.716679305,0.066 +18775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.698476007,0.066 +18777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.73863037,0.066 +18776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.319436386,0.066 +18779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.728822925,0.066 +18778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.032504727,0.066 +18780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.452243831,0.066 +18781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.52174053,0.066 +18782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.189844454,0.066 +18783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.566076102,0.066 +18784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.322917896,0.066 +18786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.792869865,0.066 +18785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.654158691,0.066 +18787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.750006159,0.066 +18789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.307736513,0.066 +18788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.210141921,0.066 +18791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.3628419,0.066 +18790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.025813942,0.066 +18794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.219140345,0.066 +18792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.477866854,0.066 +18793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.61183546,0.066 +18796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.502224178,0.066 +18797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.538949273,0.066 +18795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.702107479,0.066 +18800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.265959805,0.066 +18798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.335727024,0.066 +18799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.799611266,0.066 +18802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.312234726,0.066 +18801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.093036476,0.066 +18803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.43415199,0.066 +18804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.154295821,0.066 +18805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.086865627,0.066 +18807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.384856742,0.066 +18808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.757893556,0.066 +18811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.816467099,0.066 +18806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.220492156,0.066 +18810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.365625934,0.066 +18812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.618084023,0.066 +18809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.074765224,0.066 +18813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.713499689,0.066 +18814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.411266482,0.066 +18815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.364764671,0.066 +18818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.082751347,0.066 +18817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.641074097,0.066 +18820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.587434118,0.066 +18821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.109505566,0.066 +18816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.130660494,0.066 +18819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.382568521,0.066 +18822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.500241998,0.066 +18824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.064482646,0.066 +18823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.330266801,0.066 +18825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.270007987,0.066 +18826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.185856117,0.066 +18827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.1362619,0.066 +18828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.035584335,0.066 +18829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.402857346,0.066 +18830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.136812424,0.066 +18833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.417591289,0.066 +18831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.342877496,0.066 +18836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.872722186,0.066 +18832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.231042603,0.066 +18835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.20019847,0.066 +18837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.016060252,0.066 +18834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.834499059,0.066 +18838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.190721752,0.066 +18840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.706530832,0.066 +18839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.798214313,0.066 +18841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.623992571,0.066 +18842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.681680043,0.066 +18843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.01780652,0.066 +18844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.038422175,0.066 +18845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.019471445,0.066 +18846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.6344857,0.066 +18847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.224551386,0.066 +18848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.607047342,0.066 +18849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.748118071,0.066 +18852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.082194542,0.066 +18851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.730655958,0.066 +18853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.142450544,0.066 +18850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.257477943,0.066 +18854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.833525646,0.066 +18855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.772071427,0.066 +18856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.493383278,0.066 +18857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.58257068,0.066 +18858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.193544369,0.066 +18860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.671089472,0.066 +18859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.340531302,0.066 +18861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.605400153,0.066 +18864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.172881544,0.066 +18862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.041950672,0.066 +18865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.510509164,0.066 +18863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.483366374,0.066 +18866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.36398694,0.066 +18867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.051504671,0.066 +18868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.504288388,0.066 +18870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.454692907,0.066 +18871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.019846422,0.066 +18872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.197556267,0.066 +18873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.035055339,0.066 +18869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.070829737,0.066 +18874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.615692644,0.066 +18875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.091135251,0.066 +18877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.753629938,0.066 +18876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.817475324,0.066 +18878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.269124476,0.066 +18879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.002984716,0.066 +18880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.44033127,0.066 +18881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.094912055,0.066 +18882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.202097205,0.066 +18883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.545087793,0.066 +18885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.570880837,0.066 +18884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.781732417,0.066 +18886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.109167037,0.066 +18887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.376219173,0.066 +18888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.686450331,0.066 +18890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.072306709,0.066 +18892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.624505485,0.066 +18893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.389350783,0.066 +18891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.842992275,0.066 +18894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.664690296,0.066 +18896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.268491297,0.066 +18889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.027657639,0.066 +18895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.884821497,0.066 +18897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.365729676,0.066 +18898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.657779023,0.066 +18900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.694673504,0.066 +18899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.038341334,0.066 +18902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.714717791,0.066 +18901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.52631538,0.066 +18903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.226058147,0.066 +18904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.295140329,0.066 +18905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.333190793,0.066 +18906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.469960698,0.066 +18907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.224306586,0.066 +18908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.113218388,0.066 +18910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.674159091,0.066 +18909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.685513529,0.066 +18912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.030533316,0.066 +18911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.241009844,0.066 +18913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.815909426,0.066 +18914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.522431132,0.066 +18915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.29510942,0.066 +18916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.765678472,0.066 +18918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.63390552,0.066 +18917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.039242887,0.066 +18919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.344301362,0.066 +18921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.594338804,0.066 +18920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.172855498,0.066 +18922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.679456468,0.066 +18923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.43895251,0.066 +18924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.011159918,0.066 +18927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.502061173,0.066 +18926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.06100761,0.066 +18925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.208652123,0.066 +18928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.070411331,0.066 +18930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.793019419,0.066 +18929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.025541317,0.066 +18931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.501299759,0.066 +18934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.175540064,0.066 +18935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.68605405,0.066 +18932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.289266841,0.066 +18933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.051918314,0.066 +18936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.281760451,0.066 +18937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.258732883,0.066 +18939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.438330995,0.066 +18938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.121834944,0.066 +18942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.053732856,0.066 +18941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.686097756,0.066 +18940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.686804751,0.066 +18943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.555419526,0.066 +18944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.315391337,0.066 +18945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.291717616,0.066 +18946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.042960963,0.066 +18950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.340216643,0.066 +18948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.620211818,0.066 +18949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.687614691,0.066 +18947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.041569946,0.066 +18951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.514258839,0.066 +18952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.059430904,0.066 +18953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.437743319,0.066 +18956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.465699439,0.066 +18957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.182285457,0.066 +18954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.504766687,0.066 +18958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.015684039,0.066 +18960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.646427259,0.066 +18955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.819476489,0.066 +18959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.001619595,0.066 +18961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.217132277,0.066 +18963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.342959353,0.066 +18964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.508524111,0.066 +18962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.264270978,0.066 +18967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.549038076,0.066 +18965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.218883963,0.066 +18966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.26721066,0.066 +18969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.654111802,0.066 +18968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.051655492,0.066 +18970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.256224104,0.066 +18972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.119438845,0.066 +18971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.46830177,0.066 +18973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.102544476,0.066 +18975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.265042389,0.066 +18976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.605501847,0.066 +18977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.227827279,0.066 +18974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.034632382,0.066 +18978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.318215333,0.066 +18979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.152904488,0.066 +18980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.003780538,0.066 +18981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.786267431,0.066 +18982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.250919483,0.066 +18983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.607640402,0.066 +18984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.505643775,0.066 +18986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.792002633,0.066 +18988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.406294759,0.066 +18987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.097728383,0.066 +18989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.789716544,0.066 +18990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.37762186,0.066 +18985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.156700164,0.066 +18991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.04311003,0.066 +18992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.803811528,0.066 +18993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.288169825,0.066 +18994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.022805402,0.066 +18995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.268598635,0.066 +18996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,0.022697383,0.066 +18998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.465710572,0.066 +18997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.517427029,0.066 +19000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.486165848,0.066 +18999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.9,10,1,-0.622429527,0.066 +19002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.363098144,0.059 +19003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.585298007,0.059 +19001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.16638553,0.059 +19004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.14213657,0.059 +19005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.615207883,0.059 +19007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.391225259,0.059 +19008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.604474456,0.059 +19009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.273972733,0.059 +19011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.523800721,0.059 +19006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.391295125,0.059 +19010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.141178136,0.059 +19012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.128425861,0.059 +19014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.587343755,0.059 +19013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.508703842,0.059 +19015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.670369217,0.059 +19016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.023279886,0.059 +19017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.64334871,0.059 +19019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.210407207,0.059 +19018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.333931749,0.059 +19020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.335922767,0.059 +19021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.543565298,0.059 +19022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.629646151,0.059 +19023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.534240634,0.059 +19024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.335044823,0.059 +19025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.051408668,0.059 +19026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.069765416,0.059 +19028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.450773356,0.059 +19027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.048920334,0.059 +19031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.362791661,0.059 +19029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.128669633,0.059 +19030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.402170078,0.059 +19033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.049780441,0.059 +19032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.094818814,0.059 +19034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.403229839,0.059 +19036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.742376484,0.059 +19035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.378477213,0.059 +19038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.545289219,0.059 +19039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.227131267,0.059 +19037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.259531922,0.059 +19041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.096929768,0.059 +19040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.062157004,0.059 +19042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.785074176,0.059 +19043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.539231559,0.059 +19045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.027647062,0.059 +19047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.415712993,0.059 +19046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.004901333,0.059 +19050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.507267169,0.059 +19049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.109525905,0.059 +19048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.203503564,0.059 +19044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.668720001,0.059 +19051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.617258234,0.059 +19052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.026842818,0.059 +19053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.028107317,0.059 +19054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.214319886,0.059 +19055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.28089101,0.059 +19057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.814619954,0.059 +19056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.027120189,0.059 +19060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.506026656,0.059 +19059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.841411008,0.059 +19058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.450559094,0.059 +19062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.352615365,0.059 +19061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.707709978,0.059 +19063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.429289581,0.059 +19064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.563936489,0.059 +19065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.094966963,0.059 +19067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.228974888,0.059 +19066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.01748195,0.059 +19068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.517677727,0.059 +19069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.730634995,0.059 +19070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.15913381,0.059 +19071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.624871428,0.059 +19073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.472128086,0.059 +19075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.256143485,0.059 +19074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.606339618,0.059 +19072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.42644182,0.059 +19078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.4751299,0.059 +19076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.147714871,0.059 +19079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.713520206,0.059 +19080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.681717737,0.059 +19077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.103975455,0.059 +19081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.608198215,0.059 +19082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.60261292,0.059 +19083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.081986291,0.059 +19084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.669568741,0.059 +19087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.313752288,0.059 +19088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.692785896,0.059 +19090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.038102924,0.059 +19086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.204155756,0.059 +19085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.097571089,0.059 +19089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.256457876,0.059 +19092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.417826888,0.059 +19091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.516736032,0.059 +19096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.87043755,0.059 +19093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.422663836,0.059 +19094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.507997766,0.059 +19097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.81447484,0.059 +19098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.34679492,0.059 +19099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.343159024,0.059 +19095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.118319225,0.059 +19100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.442113616,0.059 +19102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.047548702,0.059 +19103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.630201817,0.059 +19101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.397234844,0.059 +19107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.462726809,0.059 +19106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.016694107,0.059 +19105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.041275986,0.059 +19108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.580319263,0.059 +19104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.281239959,0.059 +19109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.703176287,0.059 +19110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.63298389,0.059 +19111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.413852062,0.059 +19112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.366400178,0.059 +19113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.138749996,0.059 +19114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.144414862,0.059 +19115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.407168613,0.059 +19116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.043262519,0.059 +19118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.606340988,0.059 +19119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.468026176,0.059 +19120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.755020146,0.059 +19117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.065287796,0.059 +19121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.00571208,0.059 +19122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.16723668,0.059 +19123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.658536571,0.059 +19124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.20008071,0.059 +19125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.176407987,0.059 +19128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.201937783,0.059 +19127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.349614785,0.059 +19129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.330117414,0.059 +19130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.063754906,0.059 +19126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.208978991,0.059 +19131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.214918984,0.059 +19132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.136421566,0.059 +19137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.204214854,0.059 +19134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.17970392,0.059 +19136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.366795276,0.059 +19133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.391970288,0.059 +19138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.665311451,0.059 +19135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.540185975,0.059 +19139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.517335254,0.059 +19141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.378455129,0.059 +19140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.848218475,0.059 +19142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.12468131,0.059 +19144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.157484967,0.059 +19145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.432118496,0.059 +19143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.346103978,0.059 +19146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.46300989,0.059 +19147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.644809141,0.059 +19148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.089408167,0.059 +19151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.320730856,0.059 +19152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.522010409,0.059 +19150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.507191689,0.059 +19153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.39784265,0.059 +19155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.854481883,0.059 +19154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.471791186,0.059 +19149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.027486037,0.059 +19157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.108514735,0.059 +19156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.657045707,0.059 +19158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.181564883,0.059 +19159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.349473244,0.059 +19161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.830600455,0.059 +19160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.682225354,0.059 +19162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.165747867,0.059 +19163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.678865984,0.059 +19165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.054006872,0.059 +19164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.149862941,0.059 +19166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.380849919,0.059 +19167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.008615135,0.059 +19169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.02299243,0.059 +19170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.25829525,0.059 +19168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.484164245,0.059 +19173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.180912716,0.059 +19172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.329250425,0.059 +19174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.372586385,0.059 +19175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.401436414,0.059 +19171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.646232058,0.059 +19176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.133637026,0.059 +19177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.00584811,0.059 +19178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.355703562,0.059 +19180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.242608802,0.059 +19179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.186036485,0.059 +19181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.637178178,0.059 +19182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.585506945,0.059 +19183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.688457754,0.059 +19184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.71144513,0.059 +19185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.546527214,0.059 +19187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.416766594,0.059 +19186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.043695299,0.059 +19188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.47432509,0.059 +19189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.010506071,0.059 +19190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.110725348,0.059 +19191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.030525656,0.059 +19192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.246666555,0.059 +19193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.680274366,0.059 +19195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.28160152,0.059 +19194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.021430527,0.059 +19196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.194411139,0.059 +19197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.096350785,0.059 +19198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.023264144,0.059 +19200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.630196435,0.059 +19201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.074056167,0.059 +19202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.739163957,0.059 +19203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.353590151,0.059 +19204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.690681996,0.059 +19199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.761271462,0.059 +19205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.724529245,0.059 +19206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.46533328,0.059 +19207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.616531426,0.059 +19208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.013072935,0.059 +19211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.67160502,0.059 +19210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.091972454,0.059 +19212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.394877073,0.059 +19213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.100855911,0.059 +19209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.266508222,0.059 +19214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.649551296,0.059 +19215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.632579563,0.059 +19217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.011823825,0.059 +19218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.176614057,0.059 +19216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.688553695,0.059 +19220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.523447178,0.059 +19221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.332692643,0.059 +19222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.427550014,0.059 +19219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.37198002,0.059 +19223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.142902819,0.059 +19225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.310108212,0.059 +19226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.686045939,0.059 +19227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.332707404,0.059 +19228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.334870144,0.059 +19229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.281881376,0.059 +19224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.806890884,0.059 +19230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.077831913,0.059 +19231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.508321948,0.059 +19234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.323944491,0.059 +19232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.31286018,0.059 +19233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.483759314,0.059 +19235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.33425928,0.059 +19236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.677824626,0.059 +19237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.289678763,0.059 +19239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.495441098,0.059 +19240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.344236239,0.059 +19242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.553419547,0.059 +19241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.204686049,0.059 +19244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.706343731,0.059 +19243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.236593859,0.059 +19238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.342908439,0.059 +19245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.47015156,0.059 +19246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.288826471,0.059 +19247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.68422563,0.059 +19248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.453843545,0.059 +19250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.024612935,0.059 +19249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.171028279,0.059 +19251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.478661024,0.059 +19253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.452174235,0.059 +19252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.20727937,0.059 +19254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.244885148,0.059 +19257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.450246875,0.059 +19255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.366061776,0.059 +19258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.5145693,0.059 +19259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.293288297,0.059 +19260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.223623281,0.059 +19256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.270628211,0.059 +19261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.084359717,0.059 +19262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.785934485,0.059 +19264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.730208025,0.059 +19263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.670404549,0.059 +19268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.328394775,0.059 +19266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.533938682,0.059 +19267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.359120108,0.059 +19265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.137796774,0.059 +19270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.028271106,0.059 +19269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.792756642,0.059 +19271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.088386332,0.059 +19272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.364618096,0.059 +19274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.154748751,0.059 +19275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.482518086,0.059 +19276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.697819944,0.059 +19273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.413946492,0.059 +19278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.691361117,0.059 +19277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.449032471,0.059 +19282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.562555427,0.059 +19281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.070597253,0.059 +19279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.241804849,0.059 +19280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.736064902,0.059 +19284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.469621557,0.059 +19283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.207976217,0.059 +19286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.604671761,0.059 +19289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.613812473,0.059 +19287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.379380519,0.059 +19288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.284700875,0.059 +19290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.731334209,0.059 +19285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.561467036,0.059 +19291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.168597062,0.059 +19292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.203596469,0.059 +19293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.049513738,0.059 +19295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.11168609,0.059 +19294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.540489683,0.059 +19297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.033631131,0.059 +19296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.797835029,0.059 +19299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.567197702,0.059 +19300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.794481303,0.059 +19298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.224281384,0.059 +19303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.279773183,0.059 +19304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.347907884,0.059 +19302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.388875972,0.059 +19305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.31123472,0.059 +19307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.353617962,0.059 +19306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.476458067,0.059 +19301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.067309372,0.059 +19308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.019789967,0.059 +19311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.108649589,0.059 +19312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.054352781,0.059 +19310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.469501254,0.059 +19309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.304707115,0.059 +19313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.446996781,0.059 +19314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.43889686,0.059 +19315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.268092803,0.059 +19317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.215942588,0.059 +19318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.523769579,0.059 +19319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.633846011,0.059 +19320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.354368015,0.059 +19316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.082806744,0.059 +19321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.296977464,0.059 +19322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.037328514,0.059 +19323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.666213423,0.059 +19325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.672034803,0.059 +19326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.20757389,0.059 +19327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.264558224,0.059 +19329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.517758165,0.059 +19324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.755645099,0.059 +19328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.037205666,0.059 +19330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.451710988,0.059 +19331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.293474345,0.059 +19332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.431408433,0.059 +19333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.658165595,0.059 +19334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.705837003,0.059 +19336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.150069978,0.059 +19337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.751147114,0.059 +19338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.036658432,0.059 +19335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.032591909,0.059 +19339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.355436596,0.059 +19340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.422029754,0.059 +19342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.138655121,0.059 +19341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.535300124,0.059 +19345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.003343606,0.059 +19343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.337413788,0.059 +19344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.032371336,0.059 +19346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.259616768,0.059 +19347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.353605882,0.059 +19348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.233037426,0.059 +19351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.677951103,0.059 +19352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.668636085,0.059 +19349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.508459637,0.059 +19353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.493191568,0.059 +19350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.168024375,0.059 +19354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.528835104,0.059 +19355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.058445048,0.059 +19356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.378507934,0.059 +19357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.086597261,0.059 +19358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.631317311,0.059 +19359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.066122149,0.059 +19361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.257894971,0.059 +19360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.036893662,0.059 +19363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.176665659,0.059 +19362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.702581931,0.059 +19364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.571963116,0.059 +19367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.851011272,0.059 +19366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.39470317,0.059 +19365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.201501937,0.059 +19368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.027809564,0.059 +19370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.393192576,0.059 +19369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.396806089,0.059 +19371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.039567594,0.059 +19372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.614488528,0.059 +19373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.569753085,0.059 +19374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.46381249,0.059 +19375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.376874927,0.059 +19376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.498781749,0.059 +19377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.60685043,0.059 +19379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.353440718,0.059 +19378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.077335243,0.059 +19380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.64794454,0.059 +19381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.020974192,0.059 +19382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.002202081,0.059 +19383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.271433023,0.059 +19384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.112509953,0.059 +19385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.466643421,0.059 +19387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.089752729,0.059 +19388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.530548272,0.059 +19390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.738290926,0.059 +19391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.27450501,0.059 +19392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.352503502,0.059 +19389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.222561582,0.059 +19386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.622548434,0.059 +19394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.576549155,0.059 +19393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.323747339,0.059 +19395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.078782935,0.059 +19396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.69373912,0.059 +19397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.300036392,0.059 +19398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.256322085,0.059 +19400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.701769723,0.059 +19399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.74156112,0.059 +19401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.563194964,0.059 +19402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.786859128,0.059 +19403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.387230608,0.059 +19404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.286855147,0.059 +19405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.532525042,0.059 +19406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.120100783,0.059 +19407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.027173649,0.059 +19408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.33973591,0.059 +19409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.829611146,0.059 +19412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.054733337,0.059 +19410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.513144356,0.059 +19413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.178143544,0.059 +19414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.018088804,0.059 +19411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.20982166,0.059 +19416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.822985109,0.059 +19415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.798836549,0.059 +19417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.19068064,0.059 +19419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.727034732,0.059 +19418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.24942496,0.059 +19420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.721758553,0.059 +19421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.009631293,0.059 +19422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.586049653,0.059 +19423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.04316988,0.059 +19425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.387911286,0.059 +19426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.452764062,0.059 +19427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.286643383,0.059 +19428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.057634828,0.059 +19429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.395557208,0.059 +19430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.293492798,0.059 +19424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.06225075,0.059 +19431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.202457013,0.059 +19432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.402559315,0.059 +19433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.380079249,0.059 +19434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.176051097,0.059 +19435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.319490837,0.059 +19436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.358111029,0.059 +19437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.442208476,0.059 +19438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.022878044,0.059 +19439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.71781819,0.059 +19440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.370311082,0.059 +19442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.532776178,0.059 +19441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.040460114,0.059 +19443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.165529782,0.059 +19444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.633646636,0.059 +19445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.293111102,0.059 +19447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.222977386,0.059 +19448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.142810213,0.059 +19451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.340904368,0.059 +19450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.68025338,0.059 +19446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.042971258,0.059 +19449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.32684221,0.059 +19452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.78839756,0.059 +19453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.710143854,0.059 +19454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.172370272,0.059 +19455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.471468018,0.059 +19456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.297037331,0.059 +19457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.231355192,0.059 +19459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.458333249,0.059 +19458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.018414579,0.059 +19460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.119429028,0.059 +19461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.607733879,0.059 +19462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.046405167,0.059 +19463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.022069706,0.059 +19465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.305945052,0.059 +19464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.142096884,0.059 +19466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.264595334,0.059 +19468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.018060058,0.059 +19467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.556147671,0.059 +19469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.525385718,0.059 +19470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.275351791,0.059 +19471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.511442853,0.059 +19473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.051544328,0.059 +19472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.423284387,0.059 +19474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.304338932,0.059 +19475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.007941826,0.059 +19477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.700932702,0.059 +19476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.737462894,0.059 +19478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.250418629,0.059 +19479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.76119511,0.059 +19480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.624183219,0.059 +19481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.313072414,0.059 +19482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.152188818,0.059 +19483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.511858089,0.059 +19484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.455423032,0.059 +19485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.440029677,0.059 +19486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.735587515,0.059 +19487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.052484858,0.059 +19488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.380072612,0.059 +19489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.417939799,0.059 +19490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.212561466,0.059 +19491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.058249186,0.059 +19492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.820792466,0.059 +19494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.777410541,0.059 +19495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.427745926,0.059 +19496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.378160643,0.059 +19497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.614398908,0.059 +19493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.456399638,0.059 +19498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.413571974,0.059 +19499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.221781434,0.059 +19500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.711060577,0.059 +19501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.230321314,0.059 +19502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.490760782,0.059 +19504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.498617528,0.059 +19503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.587761835,0.059 +19505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.507622999,0.059 +19506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.027840787,0.059 +19507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.146738413,0.059 +19508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.432767326,0.059 +19509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.625650724,0.059 +19511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.168359446,0.059 +19512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.430207573,0.059 +19510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.104789545,0.059 +19514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.431578635,0.059 +19513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.435104726,0.059 +19515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.136852256,0.059 +19516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.759268523,0.059 +19517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.596415949,0.059 +19519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.152468678,0.059 +19520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.659516227,0.059 +19518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.590678005,0.059 +19522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.190004653,0.059 +19521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.659612097,0.059 +19523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.730932119,0.059 +19525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.210076784,0.059 +19524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.094612902,0.059 +19526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.489521458,0.059 +19527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.802608992,0.059 +19528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.744431752,0.059 +19530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.637454092,0.059 +19531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.150816045,0.059 +19529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.133649153,0.059 +19532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.60212905,0.059 +19533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.548797381,0.059 +19534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.209430214,0.059 +19535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.05531558,0.059 +19536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.005686388,0.059 +19537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.435721524,0.059 +19538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.605474954,0.059 +19539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.40001595,0.059 +19540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.211638294,0.059 +19541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.516569479,0.059 +19542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.2027524,0.059 +19543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.54248273,0.059 +19544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.194024958,0.059 +19545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.308515861,0.059 +19546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.461765738,0.059 +19548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.227289153,0.059 +19549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.860647547,0.059 +19550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.387568607,0.059 +19551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.780734146,0.059 +19547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.342113453,0.059 +19552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.192028944,0.059 +19553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.849657149,0.059 +19554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.501083895,0.059 +19555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.509024102,0.059 +19556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.750714965,0.059 +19557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.19254575,0.059 +19558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.604380634,0.059 +19560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.510403162,0.059 +19559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.44556328,0.059 +19561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.757787833,0.059 +19563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.143672855,0.059 +19562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.221040468,0.059 +19564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.831122328,0.059 +19565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.029738076,0.059 +19566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.603735583,0.059 +19567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.342327655,0.059 +19569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.615019128,0.059 +19568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.335088238,0.059 +19570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.766413068,0.059 +19571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.44466835,0.059 +19572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.057878433,0.059 +19573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.013589693,0.059 +19574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.046218315,0.059 +19575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.746627959,0.059 +19576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.351845047,0.059 +19578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.465690869,0.059 +19579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.818192569,0.059 +19577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.702384405,0.059 +19580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.495894114,0.059 +19581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.118893067,0.059 +19582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.007227406,0.059 +19583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.259814645,0.059 +19584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.855441404,0.059 +19585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.303623784,0.059 +19586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.666301477,0.059 +19589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.318691903,0.059 +19587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.464345577,0.059 +19588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.773631216,0.059 +19590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.680253431,0.059 +19591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.3287472,0.059 +19592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.667939998,0.059 +19593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.310785737,0.059 +19594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.531396385,0.059 +19597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.095236557,0.059 +19595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.512969195,0.059 +19598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.499860573,0.059 +19596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.234244818,0.059 +19599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.517703821,0.059 +19600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.681168531,0.059 +19601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.033510027,0.059 +19602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.208543432,0.059 +19604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.137373352,0.059 +19603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.655363613,0.059 +19605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.766462646,0.059 +19607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.67295929,0.059 +19606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.530005514,0.059 +19608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.263058536,0.059 +19610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.34168289,0.059 +19609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.149400649,0.059 +19613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.59539023,0.059 +19612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.295508326,0.059 +19611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.687949381,0.059 +19614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.794133241,0.059 +19615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.750082965,0.059 +19616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.073591127,0.059 +19617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.714185741,0.059 +19618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.345991387,0.059 +19620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.677585876,0.059 +19619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.039936469,0.059 +19621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.073140241,0.059 +19622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.132875228,0.059 +19623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.747054375,0.059 +19624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.393865689,0.059 +19625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.396571663,0.059 +19626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.695760072,0.059 +19628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.300175368,0.059 +19627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.29619671,0.059 +19629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.100732632,0.059 +19630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.052243684,0.059 +19632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.57804081,0.059 +19634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.241949487,0.059 +19633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.757160351,0.059 +19635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.770610097,0.059 +19636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.406914488,0.059 +19637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.794100559,0.059 +19631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.433595123,0.059 +19638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.734503774,0.059 +19640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.0075272,0.059 +19639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.421686216,0.059 +19641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.132326404,0.059 +19642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.093077807,0.059 +19644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.41303069,0.059 +19643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.669723458,0.059 +19646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.6328142,0.059 +19645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.594461686,0.059 +19647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.432733355,0.059 +19648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.407501332,0.059 +19650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.292958744,0.059 +19651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.677433556,0.059 +19652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.696634743,0.059 +19649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.512259724,0.059 +19653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.141790181,0.059 +19655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.266215827,0.059 +19656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.427628547,0.059 +19657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.688231136,0.059 +19654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.750809387,0.059 +19658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.386880258,0.059 +19659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.325855048,0.059 +19660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.011700322,0.059 +19661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.304110131,0.059 +19662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.273243114,0.059 +19663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.109346832,0.059 +19664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.538050654,0.059 +19665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.757853501,0.059 +19667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.645429411,0.059 +19666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.793680091,0.059 +19668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.004876418,0.059 +19669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.768433476,0.059 +19670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.139229202,0.059 +19671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.501758987,0.059 +19672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.146858043,0.059 +19674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.269726767,0.059 +19677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.03430791,0.059 +19675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.266096977,0.059 +19673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.069539244,0.059 +19676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.268938342,0.059 +19678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.002838025,0.059 +19681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.103461329,0.059 +19679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.325138988,0.059 +19680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.75171736,0.059 +19682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.155822564,0.059 +19683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.227241233,0.059 +19684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.601219506,0.059 +19685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.783529037,0.059 +19686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.428134091,0.059 +19687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.214360157,0.059 +19688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.096132939,0.059 +19689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.381951471,0.059 +19691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.696464713,0.059 +19693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.280658316,0.059 +19690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.028757572,0.059 +19694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.224039068,0.059 +19696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.353711998,0.059 +19692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.595080091,0.059 +19697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.022738422,0.059 +19695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.145758211,0.059 +19698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.071795697,0.059 +19699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.510239919,0.059 +19700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.688236089,0.059 +19702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.518988668,0.059 +19701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.448717427,0.059 +19704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.445443593,0.059 +19703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.095924051,0.059 +19706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.078102362,0.059 +19705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.723655936,0.059 +19707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.330932339,0.059 +19708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.641931241,0.059 +19709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.768664676,0.059 +19710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.802209663,0.059 +19712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.625175705,0.059 +19711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.280431457,0.059 +19713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.16301955,0.059 +19714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.676910389,0.059 +19716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.423924618,0.059 +19715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.578246815,0.059 +19717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.423990431,0.059 +19718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.689402018,0.059 +19720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.081026714,0.059 +19721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.155439311,0.059 +19723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.094976618,0.059 +19722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.031112221,0.059 +19719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.214064819,0.059 +19724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.035320668,0.059 +19725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.293135383,0.059 +19726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.743878266,0.059 +19727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.044404998,0.059 +19728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.017380236,0.059 +19730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.182560912,0.059 +19729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.586658982,0.059 +19734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.870854959,0.059 +19732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.161434708,0.059 +19731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.016911536,0.059 +19733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.536052865,0.059 +19735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.260681103,0.059 +19736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.34547799,0.059 +19737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.035776418,0.059 +19738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.027848989,0.059 +19739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.454254385,0.059 +19740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.733515692,0.059 +19742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.339779172,0.059 +19741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.196362383,0.059 +19743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.559543747,0.059 +19744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.463722868,0.059 +19745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.645224791,0.059 +19747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.650844557,0.059 +19748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.76920827,0.059 +19746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.425964948,0.059 +19749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.678973131,0.059 +19751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.58097923,0.059 +19750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.318706326,0.059 +19753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.511572383,0.059 +19752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.546763505,0.059 +19754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.708516852,0.059 +19756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.556672149,0.059 +19755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.735588879,0.059 +19757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.404509902,0.059 +19758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.00710768,0.059 +19760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.16957374,0.059 +19761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.314896798,0.059 +19762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.453845048,0.059 +19763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.441957659,0.059 +19764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.563945889,0.059 +19759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.415890712,0.059 +19765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.412940435,0.059 +19766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.677298686,0.059 +19767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.051824405,0.059 +19769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.521358888,0.059 +19771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.172756635,0.059 +19768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.2838584,0.059 +19770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.458774033,0.059 +19773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.673127529,0.059 +19772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.5245022,0.059 +19774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.199740157,0.059 +19775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.774432619,0.059 +19776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.028434979,0.059 +19778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.049409732,0.059 +19779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.385898474,0.059 +19780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.197037109,0.059 +19777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.761459738,0.059 +19782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.631614294,0.059 +19783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.534886404,0.059 +19781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.746770613,0.059 +19784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.079162979,0.059 +19785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.213996914,0.059 +19786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.032479823,0.059 +19787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.361278262,0.059 +19788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.165432713,0.059 +19789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.449676333,0.059 +19790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.432692857,0.059 +19791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.059707131,0.059 +19792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.321425646,0.059 +19794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.105998015,0.059 +19793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.261597196,0.059 +19795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.238359194,0.059 +19797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.021640635,0.059 +19796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.70086975,0.059 +19798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.198932789,0.059 +19800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.111023596,0.059 +19801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.348552296,0.059 +19802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.097094989,0.059 +19803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.250230863,0.059 +19799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.854819079,0.059 +19804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.6453711,0.059 +19805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.527605301,0.059 +19806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.05376977,0.059 +19808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.083294123,0.059 +19807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.322075975,0.059 +19809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.762352285,0.059 +19811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.048229656,0.059 +19810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.359376046,0.059 +19812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.569553644,0.059 +19814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.258320056,0.059 +19813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.239601334,0.059 +19815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.641190679,0.059 +19816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.693721525,0.059 +19818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.684409905,0.059 +19817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.675345451,0.059 +19819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.208028153,0.059 +19820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.008103087,0.059 +19821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.247256002,0.059 +19822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.011583856,0.059 +19823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.085880451,0.059 +19824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.570671426,0.059 +19826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.677211885,0.059 +19825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.326915028,0.059 +19828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.621153819,0.059 +19827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.615570451,0.059 +19829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.561384199,0.059 +19830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.593973456,0.059 +19831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.692119563,0.059 +19832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.060636738,0.059 +19833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.2706876,0.059 +19834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.28527234,0.059 +19835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.28990701,0.059 +19837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.770852394,0.059 +19836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.084150756,0.059 +19840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.743335098,0.059 +19839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.540062854,0.059 +19838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.124927207,0.059 +19842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.729585079,0.059 +19841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.187510404,0.059 +19843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.689972183,0.059 +19844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.573969933,0.059 +19846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.08301806,0.059 +19845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.592571357,0.059 +19848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.530586652,0.059 +19847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.123511159,0.059 +19849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.675691226,0.059 +19850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.375032728,0.059 +19851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.519805036,0.059 +19852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.047763205,0.059 +19854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.251134674,0.059 +19853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.743426133,0.059 +19856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.337481548,0.059 +19857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.127843635,0.059 +19855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.421434148,0.059 +19859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.425506465,0.059 +19858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.621513403,0.059 +19860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.918176499,0.059 +19861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.207563011,0.059 +19862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.145792724,0.059 +19863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.354528804,0.059 +19864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.416086938,0.059 +19865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.492812255,0.059 +19867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.351941396,0.059 +19866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.654322372,0.059 +19868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.638936344,0.059 +19871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.435347415,0.059 +19873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.606120887,0.059 +19872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.106283084,0.059 +19870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.485588858,0.059 +19869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.304802909,0.059 +19875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.026831143,0.059 +19874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.743633218,0.059 +19876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.243665918,0.059 +19877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.056935699,0.059 +19880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.555451812,0.059 +19878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.24898395,0.059 +19879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.239703725,0.059 +19881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.166410642,0.059 +19882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.776422369,0.059 +19883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.452964557,0.059 +19884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.086442495,0.059 +19886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.438192983,0.059 +19887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.145406493,0.059 +19885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.699488362,0.059 +19888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.572586059,0.059 +19889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.537208125,0.059 +19891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.333362654,0.059 +19890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.454000963,0.059 +19892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.282643474,0.059 +19893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.560662382,0.059 +19894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.479823112,0.059 +19896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.046180824,0.059 +19895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.145197571,0.059 +19898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.336485588,0.059 +19899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.112528812,0.059 +19900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.492637193,0.059 +19901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.427681488,0.059 +19897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.59172502,0.059 +19902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.188239746,0.059 +19904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.846100871,0.059 +19903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.131185385,0.059 +19905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.61011297,0.059 +19906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.102261776,0.059 +19907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.054938496,0.059 +19908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.134082417,0.059 +19910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.52348701,0.059 +19911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.453605534,0.059 +19909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.45646252,0.059 +19912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.090987032,0.059 +19913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.798410481,0.059 +19914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.070287284,0.059 +19915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.332754326,0.059 +19916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.538912652,0.059 +19918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.087454768,0.059 +19917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.220061438,0.059 +19919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.803653999,0.059 +19921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.057151136,0.059 +19922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.094175555,0.059 +19920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.319587336,0.059 +19923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.152162072,0.059 +19924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.100462843,0.059 +19925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.041574652,0.059 +19926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.224569383,0.059 +19930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.498920101,0.059 +19928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.366248919,0.059 +19929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.700774307,0.059 +19932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.048184383,0.059 +19931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.619303687,0.059 +19933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.486753609,0.059 +19934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.033790996,0.059 +19927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.050481077,0.059 +19936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.731457136,0.059 +19935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.805026132,0.059 +19937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.319794579,0.059 +19938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.480441055,0.059 +19939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.413530372,0.059 +19940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.635597142,0.059 +19941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.599214543,0.059 +19942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.581998988,0.059 +19943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.358987346,0.059 +19945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.496965066,0.059 +19944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.26607883,0.059 +19946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.161304031,0.059 +19947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.350193869,0.059 +19948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.457926417,0.059 +19949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.491990305,0.059 +19950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.023235401,0.059 +19951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.306228615,0.059 +19952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.265830612,0.059 +19955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.653482872,0.059 +19954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.111057336,0.059 +19953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.123488464,0.059 +19956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.442854598,0.059 +19957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.22005484,0.059 +19959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.243619718,0.059 +19958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.486040727,0.059 +19960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.35355152,0.059 +19961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.876335343,0.059 +19962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.018551617,0.059 +19963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.186875498,0.059 +19965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.050585331,0.059 +19964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.147201843,0.059 +19966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.777461133,0.059 +19967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.576667947,0.059 +19968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.661565026,0.059 +19969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.127595425,0.059 +19970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.26771549,0.059 +19971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.656546057,0.059 +19973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.177470406,0.059 +19972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.549969061,0.059 +19974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.793545503,0.059 +19975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.39980034,0.059 +19977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.074431055,0.059 +19976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.624730718,0.059 +19979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.41753045,0.059 +19978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.506551854,0.059 +19981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.441807148,0.059 +19980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.171749765,0.059 +19982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.332507325,0.059 +19984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.558019219,0.059 +19983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.479318037,0.059 +19986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.026479695,0.059 +19985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.007741168,0.059 +19987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.213627245,0.059 +19988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.416668027,0.059 +19989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.510296814,0.059 +19990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.339051417,0.059 +19992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.431013723,0.059 +19993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.403253967,0.059 +19991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.601754164,0.059 +19994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.754047074,0.059 +19997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.004335118,0.059 +19995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,0.027357845,0.059 +19996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.152753128,0.059 +19999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.788763813,0.059 +19998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.111558075,0.059 +20000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,0.95,10,1,-0.187369827,0.059 +20001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.484420277,0.07 +20002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.759590012,0.07 +20003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.049603085,0.07 +20004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.714765126,0.07 +20005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.588793493,0.07 +20008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.729827882,0.07 +20007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.726858437,0.07 +20006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.399852319,0.07 +20010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.046858278,0.07 +20009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.10165586,0.07 +20011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.449322409,0.07 +20013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.634615194,0.07 +20012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.729777742,0.07 +20015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.623117196,0.07 +20016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.441199633,0.07 +20018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.351779709,0.07 +20017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.363167653,0.07 +20014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.582164973,0.07 +20019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.499592186,0.07 +20020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.014148435,0.07 +20021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.750341293,0.07 +20022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.120422688,0.07 +20025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.601204954,0.07 +20024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.136711789,0.07 +20026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.268142216,0.07 +20023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.760859566,0.07 +20027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.071979259,0.07 +20028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.521856953,0.07 +20032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.140717624,0.07 +20030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.14406021,0.07 +20031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.348067065,0.07 +20033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.642236453,0.07 +20034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.623825002,0.07 +20035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.28883362,0.07 +20029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.719877348,0.07 +20036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.21861796,0.07 +20037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.853299498,0.07 +20038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.350873275,0.07 +20039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.337133094,0.07 +20040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.700671309,0.07 +20041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.005914654,0.07 +20042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.416774154,0.07 +20044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.539689148,0.07 +20043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.489453682,0.07 +20045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.468987078,0.07 +20046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.077855514,0.07 +20047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.049827303,0.07 +20048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.038027071,0.07 +20050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.395404093,0.07 +20049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.567763247,0.07 +20051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.250073519,0.07 +20052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.547882176,0.07 +20053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.088017228,0.07 +20054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.39902244,0.07 +20056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.475394221,0.07 +20058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.496658668,0.07 +20055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.046698647,0.07 +20059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.323724638,0.07 +20057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.324542683,0.07 +20061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.068673602,0.07 +20062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.458549377,0.07 +20060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.025146199,0.07 +20063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.583030757,0.07 +20065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.051953806,0.07 +20066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.688391974,0.07 +20067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.147941919,0.07 +20064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.578696645,0.07 +20068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.318058666,0.07 +20070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.421603925,0.07 +20069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.701960049,0.07 +20072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.762933352,0.07 +20071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.683230695,0.07 +20073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.084284126,0.07 +20075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.224836422,0.07 +20074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.595300647,0.07 +20077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.006363863,0.07 +20076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.562469849,0.07 +20079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.741448663,0.07 +20081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.559776438,0.07 +20078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.083645808,0.07 +20083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.596361813,0.07 +20080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.008183464,0.07 +20082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.442441459,0.07 +20084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.771724343,0.07 +20085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.466503647,0.07 +20086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.497277058,0.07 +20087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.210086044,0.07 +20089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.07252165,0.07 +20088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.253087095,0.07 +20091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.083944997,0.07 +20092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.153286969,0.07 +20090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.047175268,0.07 +20093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.517968838,0.07 +20094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.007050961,0.07 +20095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.427511325,0.07 +20096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.828004228,0.07 +20098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.242911198,0.07 +20100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.739679678,0.07 +20099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.269605727,0.07 +20102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.429225135,0.07 +20101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.15754125,0.07 +20097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.737987583,0.07 +20103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.574373747,0.07 +20104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.456910574,0.07 +20105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.447031947,0.07 +20106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.838588074,0.07 +20107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.203807451,0.07 +20108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.826923141,0.07 +20110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.350067593,0.07 +20109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.01763126,0.07 +20111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.076905738,0.07 +20112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.453779998,0.07 +20114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.174507105,0.07 +20115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.618639398,0.07 +20113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.057096047,0.07 +20116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.418402179,0.07 +20118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.383855714,0.07 +20117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.441908735,0.07 +20119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.171203256,0.07 +20121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.605354777,0.07 +20123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.053433108,0.07 +20124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.776274662,0.07 +20120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.728410043,0.07 +20122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.697594065,0.07 +20126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.632277747,0.07 +20127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.547025319,0.07 +20125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.046912286,0.07 +20128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.356613198,0.07 +20130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.020415639,0.07 +20129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.298453064,0.07 +20132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.107406901,0.07 +20131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.040148794,0.07 +20133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.460830643,0.07 +20134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.110826623,0.07 +20135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.24744983,0.07 +20136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.744046938,0.07 +20138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.747843366,0.07 +20137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.028841648,0.07 +20139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.729991508,0.07 +20142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.005155957,0.07 +20140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.125516592,0.07 +20143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.135739163,0.07 +20144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.42289712,0.07 +20141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.611487895,0.07 +20145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.121313668,0.07 +20146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.66309648,0.07 +20147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.398614017,0.07 +20148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.440507946,0.07 +20150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.061073404,0.07 +20149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.081511365,0.07 +20151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.720012681,0.07 +20152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.545891553,0.07 +20153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.222447405,0.07 +20155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.318764282,0.07 +20156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.023197763,0.07 +20157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.217934565,0.07 +20159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.726646595,0.07 +20154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.458295654,0.07 +20158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.248052697,0.07 +20161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.083495638,0.07 +20160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.224520722,0.07 +20162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.197898871,0.07 +20163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.636743079,0.07 +20164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.644762689,0.07 +20166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.29788187,0.07 +20165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.123623101,0.07 +20169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.070500189,0.07 +20167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.158846643,0.07 +20168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.079956955,0.07 +20170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.02767734,0.07 +20171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.693385749,0.07 +20172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.861074094,0.07 +20174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.362768379,0.07 +20173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.634590575,0.07 +20175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.23607148,0.07 +20177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.363900607,0.07 +20179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.301217466,0.07 +20178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.378665723,0.07 +20180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.847669142,0.07 +20181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.224746333,0.07 +20176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.711635426,0.07 +20182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.100397969,0.07 +20183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.179919637,0.07 +20184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.516375732,0.07 +20185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.15226252,0.07 +20186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.045577522,0.07 +20188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.6300067,0.07 +20187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.290820028,0.07 +20189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.046734239,0.07 +20190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.54507124,0.07 +20191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.282551241,0.07 +20192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.678650095,0.07 +20194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.260160095,0.07 +20193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.059799071,0.07 +20195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.272419566,0.07 +20199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,9.07E-04,0.07 +20196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.391916906,0.07 +20198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.777412522,0.07 +20197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.407637344,0.07 +20200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.103908631,0.07 +20201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.088836266,0.07 +20203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.378703062,0.07 +20202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.113854535,0.07 +20205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.347048892,0.07 +20206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.316684468,0.07 +20204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.286447419,0.07 +20207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.205966066,0.07 +20209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.123279896,0.07 +20210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.051411406,0.07 +20211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.466140468,0.07 +20212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.036636588,0.07 +20208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.385658946,0.07 +20213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.026462814,0.07 +20214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.481153802,0.07 +20215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.392327799,0.07 +20216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.407200135,0.07 +20219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.656647147,0.07 +20217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.295342486,0.07 +20220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.072590705,0.07 +20218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.075886378,0.07 +20221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.258086502,0.07 +20223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.257297803,0.07 +20222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.067104182,0.07 +20224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.388551124,0.07 +20226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.246779501,0.07 +20229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.639100378,0.07 +20227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.374733779,0.07 +20228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.523983461,0.07 +20225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.036293304,0.07 +20230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.798258657,0.07 +20231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.107041329,0.07 +20232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.743712829,0.07 +20233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.194370159,0.07 +20235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.267883926,0.07 +20237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.812488041,0.07 +20236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.075114793,0.07 +20234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.059539615,0.07 +20239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.03085786,0.07 +20240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.154790138,0.07 +20238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.199796405,0.07 +20241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.150613944,0.07 +20242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.087645299,0.07 +20243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.047710021,0.07 +20244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.01073442,0.07 +20245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.071973233,0.07 +20246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.624607305,0.07 +20249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.156365692,0.07 +20248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.10727474,0.07 +20250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.764591372,0.07 +20252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.511651765,0.07 +20251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.075569798,0.07 +20247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.545150682,0.07 +20253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.667038138,0.07 +20254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.416596933,0.07 +20257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.639612338,0.07 +20255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.190757169,0.07 +20259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.590473053,0.07 +20260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.306970005,0.07 +20258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.190504826,0.07 +20261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.339778148,0.07 +20256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.531443882,0.07 +20263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.326273096,0.07 +20264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.081418187,0.07 +20266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.048652035,0.07 +20268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.148896925,0.07 +20267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.195557376,0.07 +20262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.358031273,0.07 +20269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.734088428,0.07 +20265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.526100345,0.07 +20271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.108098633,0.07 +20272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.63468412,0.07 +20270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.763557653,0.07 +20273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.537061696,0.07 +20274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.311632273,0.07 +20275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.78358634,0.07 +20277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.330296878,0.07 +20276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.181480285,0.07 +20279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.064515241,0.07 +20278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.365129074,0.07 +20280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.307500769,0.07 +20281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.311633626,0.07 +20283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.001978237,0.07 +20282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.820944812,0.07 +20284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.655598073,0.07 +20285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.217230432,0.07 +20287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.568560768,0.07 +20288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.016722069,0.07 +20286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.651739712,0.07 +20289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.658172019,0.07 +20290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.52396939,0.07 +20291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.443935923,0.07 +20292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.113198548,0.07 +20294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.378413415,0.07 +20293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.260354798,0.07 +20295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.59317223,0.07 +20296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.155635627,0.07 +20297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.120636358,0.07 +20298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.427032008,0.07 +20299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.029101042,0.07 +20300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.253263822,0.07 +20301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.842790203,0.07 +20304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.12227259,0.07 +20303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.005943717,0.07 +20307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.021628698,0.07 +20306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.002276028,0.07 +20302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.537125076,0.07 +20305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.323339007,0.07 +20308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.143898713,0.07 +20309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.001487189,0.07 +20312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.533999558,0.07 +20315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.431657082,0.07 +20310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.245600646,0.07 +20314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.702928076,0.07 +20313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.194102995,0.07 +20311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.043966835,0.07 +20316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.181079935,0.07 +20317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.5782362,0.07 +20319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.596129778,0.07 +20320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.733797427,0.07 +20323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.261701583,0.07 +20322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.563221757,0.07 +20318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.59462322,0.07 +20321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.856904536,0.07 +20324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.681939604,0.07 +20325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.392371981,0.07 +20326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.508624916,0.07 +20328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.22580805,0.07 +20327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.741463191,0.07 +20330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.762787007,0.07 +20329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.656204944,0.07 +20331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.602576107,0.07 +20332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.482611732,0.07 +20333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.078854047,0.07 +20335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,7.07E-04,0.07 +20336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.735201498,0.07 +20334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.033555737,0.07 +20337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.400918039,0.07 +20339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.434399481,0.07 +20340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.673576788,0.07 +20341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.062491895,0.07 +20342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.091841548,0.07 +20343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.846221717,0.07 +20338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.132943582,0.07 +20344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.755438547,0.07 +20345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.454048408,0.07 +20346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.310045701,0.07 +20347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.068536371,0.07 +20348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.610850099,0.07 +20350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.453342148,0.07 +20349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.430624553,0.07 +20351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.165513516,0.07 +20353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.356285842,0.07 +20352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.775467887,0.07 +20355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.575788402,0.07 +20354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.113679199,0.07 +20356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.108033339,0.07 +20357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.534281896,0.07 +20358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.010827257,0.07 +20360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.119213737,0.07 +20361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.179712281,0.07 +20362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.124615657,0.07 +20363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.458230461,0.07 +20359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.171130075,0.07 +20364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.451098203,0.07 +20365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.301025358,0.07 +20366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.367452739,0.07 +20367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.041552911,0.07 +20368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.289946594,0.07 +20371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.682712298,0.07 +20369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.042229487,0.07 +20370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.019272574,0.07 +20372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.556267963,0.07 +20373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.019659875,0.07 +20374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.231776794,0.07 +20375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.560214511,0.07 +20376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.278820469,0.07 +20377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.195674128,0.07 +20378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.631869576,0.07 +20379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.763554307,0.07 +20380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.302721566,0.07 +20381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.488435944,0.07 +20382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.4236297,0.07 +20383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.421618772,0.07 +20384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.528010293,0.07 +20385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.067246122,0.07 +20386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.625205916,0.07 +20388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.700803193,0.07 +20387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.551369263,0.07 +20390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.376682914,0.07 +20389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.799075117,0.07 +20392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.132386044,0.07 +20391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.773763941,0.07 +20393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.070306409,0.07 +20394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.087531732,0.07 +20395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.051781725,0.07 +20397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.644541178,0.07 +20399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.316680179,0.07 +20398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.58442534,0.07 +20396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.734454724,0.07 +20400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.267135035,0.07 +20401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.601296733,0.07 +20402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.647613472,0.07 +20403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.352209792,0.07 +20404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.56009664,0.07 +20405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.172575805,0.07 +20407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.497281256,0.07 +20408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.12483599,0.07 +20406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.307669005,0.07 +20409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.51013962,0.07 +20411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.699171744,0.07 +20410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.18326736,0.07 +20412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.659640398,0.07 +20413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.292492143,0.07 +20415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.080138181,0.07 +20414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.265702341,0.07 +20416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.333530267,0.07 +20417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.723184593,0.07 +20419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.029125511,0.07 +20418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.454513898,0.07 +20420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.729281691,0.07 +20421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.357486975,0.07 +20422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.210398682,0.07 +20423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.718745184,0.07 +20426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.409972098,0.07 +20425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.136387789,0.07 +20424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.3930631,0.07 +20427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.258312248,0.07 +20428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.041751273,0.07 +20429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.531118442,0.07 +20431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.130150464,0.07 +20432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.278441773,0.07 +20430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.517539518,0.07 +20433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.83458753,0.07 +20435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.035601202,0.07 +20436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.087317181,0.07 +20437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.262660161,0.07 +20434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.723313604,0.07 +20438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.674636846,0.07 +20440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.428311616,0.07 +20439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.021835855,0.07 +20442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.290192727,0.07 +20441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.548546528,0.07 +20443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.398341881,0.07 +20446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.111949408,0.07 +20447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.318064851,0.07 +20444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.311024749,0.07 +20445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.027732084,0.07 +20448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.10900827,0.07 +20449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.166077352,0.07 +20450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.75211329,0.07 +20451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.38021143,0.07 +20456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.469811266,0.07 +20453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.255960846,0.07 +20452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.432820051,0.07 +20454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.04419735,0.07 +20457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.749250369,0.07 +20455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.699790265,0.07 +20458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.388309636,0.07 +20459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.293313521,0.07 +20462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.658760571,0.07 +20461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.354032451,0.07 +20463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.595519533,0.07 +20460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.265973817,0.07 +20466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.008174108,0.07 +20464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.096692386,0.07 +20465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.507118936,0.07 +20467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.735089677,0.07 +20470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.214492665,0.07 +20469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.631321088,0.07 +20471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.246991905,0.07 +20468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.322858021,0.07 +20472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.826768219,0.07 +20473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.159471068,0.07 +20474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.878986008,0.07 +20475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.527957242,0.07 +20477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.311539618,0.07 +20476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.61101913,0.07 +20478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.802416082,0.07 +20479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.758751027,0.07 +20481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.043376526,0.07 +20480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.82666117,0.07 +20482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.313079762,0.07 +20483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.035624324,0.07 +20484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.117942558,0.07 +20485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.543331164,0.07 +20488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.336139604,0.07 +20487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.504276745,0.07 +20489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.803724005,0.07 +20486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.71356368,0.07 +20490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.249071511,0.07 +20491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.471282312,0.07 +20493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.026803135,0.07 +20492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.810096103,0.07 +20495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.008915878,0.07 +20494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.474057388,0.07 +20497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.068669525,0.07 +20496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.539151454,0.07 +20499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.681708629,0.07 +20500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.238433891,0.07 +20498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.37759796,0.07 +20502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.17421355,0.07 +20504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.415160091,0.07 +20503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.482747727,0.07 +20501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.661898024,0.07 +20505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.776855046,0.07 +20507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.617362629,0.07 +20506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.61495438,0.07 +20509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.001583478,0.07 +20508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.060545655,0.07 +20510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.181832439,0.07 +20511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.278706664,0.07 +20513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.672632264,0.07 +20512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.354505357,0.07 +20514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.041559613,0.07 +20515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,1.97E-06,0.07 +20516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.396778821,0.07 +20520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.327084679,0.07 +20519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.39166079,0.07 +20518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.743191203,0.07 +20521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.170854928,0.07 +20517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.786925239,0.07 +20523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.261252816,0.07 +20524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.361913746,0.07 +20526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.387451948,0.07 +20525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.7869788,0.07 +20527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.712081184,0.07 +20522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.82365437,0.07 +20528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.508078856,0.07 +20529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.181609672,0.07 +20530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.002221234,0.07 +20534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.054967098,0.07 +20532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.019918307,0.07 +20535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.341359243,0.07 +20533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.435918011,0.07 +20531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.125369737,0.07 +20536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.410888885,0.07 +20537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.748705525,0.07 +20538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.129696074,0.07 +20542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.580890655,0.07 +20541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.117580983,0.07 +20543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.382980746,0.07 +20539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.46641845,0.07 +20540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.785392047,0.07 +20544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.679900908,0.07 +20545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.140821435,0.07 +20546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.798131503,0.07 +20547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.357524609,0.07 +20549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.005011849,0.07 +20550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.518132075,0.07 +20551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.459803128,0.07 +20548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.411545937,0.07 +20552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.576609324,0.07 +20554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.185315076,0.07 +20555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.08934211,0.07 +20556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.100570035,0.07 +20558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.643056516,0.07 +20553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.225195492,0.07 +20559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.37589741,0.07 +20557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.27519007,0.07 +20561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.252333057,0.07 +20560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.654788178,0.07 +20562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.166965678,0.07 +20563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.007560934,0.07 +20564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.344413091,0.07 +20565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.142000185,0.07 +20567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.088613523,0.07 +20566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.780525665,0.07 +20569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.015857823,0.07 +20570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.755405092,0.07 +20571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.023089304,0.07 +20572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.657621769,0.07 +20568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.077654779,0.07 +20575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.042771538,0.07 +20574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.48215673,0.07 +20576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.574423568,0.07 +20577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.551920898,0.07 +20573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.308994642,0.07 +20578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.695613366,0.07 +20579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.618120945,0.07 +20580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.394639217,0.07 +20581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.229142404,0.07 +20583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.052493575,0.07 +20582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.224361959,0.07 +20584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.245024791,0.07 +20586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.301134099,0.07 +20585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.667105039,0.07 +20587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.091111086,0.07 +20588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.556363891,0.07 +20590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.397356934,0.07 +20592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.420912857,0.07 +20591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.596436986,0.07 +20589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.040141039,0.07 +20593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.307406466,0.07 +20594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.548025749,0.07 +20596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.441734742,0.07 +20595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.373733256,0.07 +20597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.652823188,0.07 +20598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.185660579,0.07 +20600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.606263724,0.07 +20599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.217217509,0.07 +20601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.390658879,0.07 +20602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.641827131,0.07 +20603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.376294965,0.07 +20604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.40967648,0.07 +20606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.131889389,0.07 +20607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.021951611,0.07 +20605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.073845605,0.07 +20608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.486598373,0.07 +20610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.670389758,0.07 +20609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.53439317,0.07 +20611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.146392575,0.07 +20612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.093690613,0.07 +20613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.737422253,0.07 +20615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.239895145,0.07 +20614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.476073862,0.07 +20616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.173125537,0.07 +20618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.711463727,0.07 +20619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.557074823,0.07 +20617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.099561445,0.07 +20620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.050336948,0.07 +20621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.194074545,0.07 +20623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.67643342,0.07 +20624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.044357682,0.07 +20622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.175865474,0.07 +20626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.767977054,0.07 +20625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.180361405,0.07 +20627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.492426786,0.07 +20628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.220112492,0.07 +20630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.135360379,0.07 +20629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.120680917,0.07 +20632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.274501212,0.07 +20631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.542751791,0.07 +20633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.389325473,0.07 +20634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.048261446,0.07 +20637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.347185068,0.07 +20638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.752447862,0.07 +20636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.695530176,0.07 +20635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.055572798,0.07 +20639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.301943672,0.07 +20640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.656931948,0.07 +20641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.102959352,0.07 +20642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.206081645,0.07 +20643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.56435892,0.07 +20645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.175043662,0.07 +20644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.656999574,0.07 +20646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.054067559,0.07 +20647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.634237026,0.07 +20648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.245866685,0.07 +20649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.344417035,0.07 +20650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.169700749,0.07 +20651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.414398882,0.07 +20652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.015689561,0.07 +20653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.72004011,0.07 +20655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.533635338,0.07 +20656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.313260561,0.07 +20657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.615553294,0.07 +20654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.425566823,0.07 +20658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.135138099,0.07 +20661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.252197597,0.07 +20659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.393732752,0.07 +20660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.509139816,0.07 +20662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.147333268,0.07 +20663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.234411926,0.07 +20664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.527632091,0.07 +20665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.271370385,0.07 +20667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.281092445,0.07 +20668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.768847106,0.07 +20666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.522895173,0.07 +20669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.310205909,0.07 +20670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.143593136,0.07 +20671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.447036948,0.07 +20672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.371411916,0.07 +20674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.114781536,0.07 +20676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.355211753,0.07 +20675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.403747334,0.07 +20677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.206984987,0.07 +20678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.792495556,0.07 +20673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.540804963,0.07 +20679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.829508643,0.07 +20680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.42746526,0.07 +20683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.539535619,0.07 +20682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.39038725,0.07 +20681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.231261952,0.07 +20684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.005180903,0.07 +20685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.265279363,0.07 +20687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.248104108,0.07 +20688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.784434175,0.07 +20686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.717908077,0.07 +20689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.067419738,0.07 +20690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.034038439,0.07 +20691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.587195599,0.07 +20692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.709019709,0.07 +20693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.289980573,0.07 +20695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.703179743,0.07 +20694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.584291156,0.07 +20696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.086702747,0.07 +20697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.687507237,0.07 +20698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.535444975,0.07 +20699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.598692182,0.07 +20701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.638055868,0.07 +20700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.02468316,0.07 +20702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.077291039,0.07 +20703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.663606739,0.07 +20704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.721569466,0.07 +20705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.774848672,0.07 +20707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.081113064,0.07 +20706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.610199294,0.07 +20709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.065706299,0.07 +20710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.649676304,0.07 +20708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.408968392,0.07 +20711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.150683649,0.07 +20712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.06201321,0.07 +20713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.381011762,0.07 +20715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.645249148,0.07 +20714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.279605799,0.07 +20716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.497232847,0.07 +20717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.594077536,0.07 +20718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.608313532,0.07 +20719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.477810636,0.07 +20721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.303003054,0.07 +20724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.689960176,0.07 +20723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.541565685,0.07 +20722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.368062275,0.07 +20726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.031127335,0.07 +20725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.353221116,0.07 +20720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.36703689,0.07 +20727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.404716992,0.07 +20728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.475862753,0.07 +20729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.754898032,0.07 +20730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.774776433,0.07 +20731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.473367431,0.07 +20732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.610373685,0.07 +20735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.583498677,0.07 +20733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.051073497,0.07 +20734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.415411484,0.07 +20736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.025580324,0.07 +20738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.318806891,0.07 +20739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.553294181,0.07 +20740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.116497557,0.07 +20737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.76194599,0.07 +20741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.43578355,0.07 +20742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.216600577,0.07 +20743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.075279347,0.07 +20744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.543341052,0.07 +20745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.038922288,0.07 +20746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.23995935,0.07 +20747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.831035314,0.07 +20748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.299106074,0.07 +20749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.689651935,0.07 +20750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.544854392,0.07 +20751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.185711551,0.07 +20752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.575635508,0.07 +20753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.406293997,0.07 +20754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.309574259,0.07 +20755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.273171295,0.07 +20757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.551828679,0.07 +20756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.054158573,0.07 +20758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.552929722,0.07 +20759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.18285914,0.07 +20760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.097550346,0.07 +20763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.182722294,0.07 +20762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.103174682,0.07 +20761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.564658435,0.07 +20764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.0701926,0.07 +20765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.825313801,0.07 +20766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.259043037,0.07 +20767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.025787145,0.07 +20768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.387096612,0.07 +20769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.712267738,0.07 +20771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.346917411,0.07 +20770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.501922332,0.07 +20773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.065655144,0.07 +20774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.413000151,0.07 +20772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.770262129,0.07 +20777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.79050908,0.07 +20779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.211034262,0.07 +20776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.171278366,0.07 +20778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.086555256,0.07 +20780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.375623466,0.07 +20775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.191899213,0.07 +20782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.425348222,0.07 +20781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.28062023,0.07 +20783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.083084305,0.07 +20785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.335568526,0.07 +20786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.083601528,0.07 +20784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.300350355,0.07 +20787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.599599148,0.07 +20788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.428057992,0.07 +20789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.0398464,0.07 +20790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.529834429,0.07 +20792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.769454489,0.07 +20791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.162886334,0.07 +20793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.508624603,0.07 +20794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.754678352,0.07 +20795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.358095621,0.07 +20798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.405604749,0.07 +20797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.421220903,0.07 +20799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.29036377,0.07 +20800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.224836566,0.07 +20801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.331095438,0.07 +20796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.362100618,0.07 +20803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.527020382,0.07 +20802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.649588562,0.07 +20805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.006210861,0.07 +20804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.330176424,0.07 +20806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.582713457,0.07 +20807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.232461048,0.07 +20808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.264383059,0.07 +20809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.366203966,0.07 +20811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.376897069,0.07 +20810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.562288901,0.07 +20813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.059384071,0.07 +20812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.246126517,0.07 +20814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.751498155,0.07 +20815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.36816073,0.07 +20816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.167656182,0.07 +20818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.325165297,0.07 +20819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.331792164,0.07 +20820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.090449752,0.07 +20821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.396799008,0.07 +20817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.260411333,0.07 +20822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.714547488,0.07 +20823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.345636959,0.07 +20824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.149497016,0.07 +20827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.25253798,0.07 +20826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.581251372,0.07 +20828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.570497576,0.07 +20829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.06033859,0.07 +20830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.248062641,0.07 +20831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.453391409,0.07 +20825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.089224758,0.07 +20832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.752966424,0.07 +20834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.492817858,0.07 +20833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.687371891,0.07 +20835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.33411262,0.07 +20836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.599168854,0.07 +20839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.274110957,0.07 +20838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.448398646,0.07 +20837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.838165944,0.07 +20840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.305513,0.07 +20841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.145747778,0.07 +20842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.010353992,0.07 +20843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.073907314,0.07 +20847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.279751087,0.07 +20846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.27318522,0.07 +20845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.25365306,0.07 +20848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.784860263,0.07 +20849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.711006097,0.07 +20850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.084776515,0.07 +20844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.006318315,0.07 +20854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.3649188,0.07 +20851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.400713845,0.07 +20853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.742788348,0.07 +20852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.104160394,0.07 +20855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.299103399,0.07 +20856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.627305098,0.07 +20857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.327641044,0.07 +20858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.750416273,0.07 +20860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.476782368,0.07 +20859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.384501206,0.07 +20861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.003471298,0.07 +20862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.458923259,0.07 +20863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.06359418,0.07 +20864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.610066209,0.07 +20865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.502328308,0.07 +20867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.085149465,0.07 +20866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.114532832,0.07 +20869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.243992201,0.07 +20870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.408775217,0.07 +20868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.716821571,0.07 +20871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.700604911,0.07 +20872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.622580667,0.07 +20873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.022171253,0.07 +20877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.119658305,0.07 +20878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.131226549,0.07 +20876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.018810661,0.07 +20874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.72216814,0.07 +20875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.706609489,0.07 +20879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.609304911,0.07 +20881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.616651032,0.07 +20880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.340154285,0.07 +20882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.353531665,0.07 +20884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.246672548,0.07 +20883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.257710215,0.07 +20885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.015911573,0.07 +20887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.443590193,0.07 +20888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.55483289,0.07 +20889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.027185681,0.07 +20886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.611887953,0.07 +20890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.679425189,0.07 +20891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.197109312,0.07 +20892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.534619475,0.07 +20894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.340564807,0.07 +20893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.225224563,0.07 +20896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.360115592,0.07 +20895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.078606591,0.07 +20897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.132780758,0.07 +20900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.496300441,0.07 +20898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.293472791,0.07 +20899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.056963463,0.07 +20901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.12651081,0.07 +20902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.462562413,0.07 +20903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.500574219,0.07 +20904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.054104216,0.07 +20906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.663853888,0.07 +20907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.455896442,0.07 +20908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.397364165,0.07 +20905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.465497869,0.07 +20909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.069638238,0.07 +20910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.36748333,0.07 +20911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.479327378,0.07 +20912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.650037833,0.07 +20913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.163704846,0.07 +20914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.329977309,0.07 +20915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.097207548,0.07 +20917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.568188792,0.07 +20918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.844184956,0.07 +20916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.097753682,0.07 +20919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.390427626,0.07 +20920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.042997984,0.07 +20922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.039289694,0.07 +20921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.537171848,0.07 +20923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.190065463,0.07 +20924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.421242056,0.07 +20925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.03408271,0.07 +20927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.014692195,0.07 +20928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.258704996,0.07 +20929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.439126821,0.07 +20926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.575898581,0.07 +20930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.079325462,0.07 +20932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.686543524,0.07 +20933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.401328641,0.07 +20935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.013020585,0.07 +20934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.87582669,0.07 +20931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.067740668,0.07 +20936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.05585032,0.07 +20938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.171863469,0.07 +20937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.433018038,0.07 +20940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.233897151,0.07 +20941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.163066942,0.07 +20939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.271226247,0.07 +20942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.589763455,0.07 +20944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.574424181,0.07 +20943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.060941688,0.07 +20945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.530735271,0.07 +20947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.476072847,0.07 +20949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.529385034,0.07 +20948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.4031842,0.07 +20951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.27313529,0.07 +20952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.323323871,0.07 +20946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.257749093,0.07 +20950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.617317062,0.07 +20953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.070460881,0.07 +20954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.250159873,0.07 +20956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.240331517,0.07 +20955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.367652486,0.07 +20958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.557518279,0.07 +20960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.755994496,0.07 +20959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.22326995,0.07 +20957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,0.054821147,0.07 +20961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.538899765,0.07 +20962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.091967911,0.07 +20963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,4.27E-04,0.07 +20964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.581241143,0.07 +20965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.662021004,0.07 +20966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.590065989,0.07 +20968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.411257071,0.07 +20969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.126800492,0.07 +20971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.648012571,0.07 +20972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.618204054,0.07 +20967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.617244417,0.07 +20970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.74290104,0.07 +20973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.18206365,0.07 +20974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.729353977,0.07 +20975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.207215786,0.07 +20978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.428251037,0.07 +20977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.647726622,0.07 +20979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.530146048,0.07 +20981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.556989299,0.07 +20980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.188786271,0.07 +20976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.140103487,0.07 +20982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.396793659,0.07 +20983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.435188458,0.07 +20985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.697503933,0.07 +20987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.553524477,0.07 +20989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.700397679,0.07 +20984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.349768475,0.07 +20988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.429045496,0.07 +20990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.077205645,0.07 +20991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.318051083,0.07 +20986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.671209184,0.07 +20992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.524800587,0.07 +20993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.517192402,0.07 +20995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.340535332,0.07 +20994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.56771327,0.07 +20996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.315410384,0.07 +20997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.169795681,0.07 +20998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.56225873,0.07 +21000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.042427221,0.07 +20999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,0,1,0,TRUE,10,1,10,1,-0.432909083,0.07 diff --git a/data-analysis/analysis-future-work/future-work-data/multi-QV-with-Polling correlate-10-issues-maj-vs-min.csv b/data-analysis/analysis-future-work/future-work-data/multi-QV-with-Polling correlate-10-issues-maj-vs-min.csv new file mode 100644 index 0000000..4a8a051 --- /dev/null +++ b/data-analysis/analysis-future-work/future-work-data/multi-QV-with-Polling correlate-10-issues-maj-vs-min.csv @@ -0,0 +1,21001 @@ +[run number],vote-portion-strategic,utility-distribution,number-of-voters,perceived-utility-stdev,proportion-of-strategic-voters,minority-power,y-axis,x-axis,QV?,number-of-issues,issues-correlation,correlate-n-issues,[step],item 0 total-payoff-per-issue,mean total-payoff-per-issue,first issue average payoff,average payoff +4,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.993725712,8.329221853,1,1 +7,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.21816447,8.215106158,1,1 +5,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.01642177,8.372568813,1,1 +3,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.1480591,4.956568364,1,1 +8,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.15401845,7.612188489,1,1 +2,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.31183317,10.61669917,1,1 +1,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.49101129,4.986664414,1,1 +6,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.42292218,7.977561531,1,1 +10,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.09638635,5.034958218,1,1 +9,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.44010264,5.969759167,1,1 +11,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.37109428,4.289313713,1,1 +13,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.40471635,5.541453617,1,1 +12,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.38627144,9.097897959,1,1 +14,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.80203773,7.467941577,1,1 +17,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.42594926,6.869545983,1,1 +16,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.59447816,9.891903207,1,1 +19,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.44990578,5.550058652,1,1 +20,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.05844,8.504493181,1,1 +18,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.00803185,9.442882299,1,1 +15,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.11358204,7.652192707,1,1 +21,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.67129092,7.936679318,1,1 +22,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.23986735,5.765788521,1,1 +25,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.2217907,6.117487406,1,1 +23,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.01161986,6.998653258,1,1 +24,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.40757089,6.559050042,1,1 +27,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.11956469,5.89314976,1,1 +28,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.1219538,6.135427442,1,1 +26,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.4743437,8.548473814,1,1 +32,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.55440709,7.413931119,1,1 +30,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.64425588,6.563678948,1,1 +31,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.60277744,6.855373353,1,1 +33,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.24586154,6.946342015,1,1 +34,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.45382432,6.349184255,1,1 +29,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.2341002,8.685826151,1,1 +37,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.48782949,8.993053516,1,1 +35,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.25124352,8.119104785,1,1 +36,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.40313807,8.18683836,1,1 +39,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.16371331,7.639546424,1,1 +40,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.16257502,7.651120708,1,1 +42,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.09172363,6.582675447,1,1 +41,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.67939351,7.501053114,1,1 +38,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.02437817,7.658718174,1,1 +44,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.00272107,7.685880674,1,1 +43,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.11626842,6.094876708,1,1 +45,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.77936882,7.354070314,1,1 +46,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.25075517,8.364192972,1,1 +50,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.40631232,5.841176209,1,1 +49,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.16123244,9.356146147,1,1 +51,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.48390901,7.98384415,1,1 +53,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.36790928,7.362280651,1,1 +52,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.04453115,4.484522778,1,1 +47,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.51316521,8.144906447,1,1 +54,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.78995714,8.385862977,1,1 +55,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.30811469,7.775113708,1,1 +59,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.60752984,6.22164358,1,1 +57,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.7071279,10.34457411,1,1 +56,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.35693641,8.399309135,1,1 +60,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.07153655,5.670098722,1,1 +58,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.49179218,5.584713358,1,1 +48,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.48490495,7.00524635,1,1 +62,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.80092579,7.229108812,1,1 +65,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.36074569,8.351972605,1,1 +61,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.66805328,6.420024296,1,1 +66,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.36519654,6.357185553,1,1 +64,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.20095759,7.557572124,1,1 +67,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.4902411,5.336441647,1,1 +68,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.65941025,5.170716171,1,1 +69,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.55532373,12.25591212,1,1 +70,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.16169413,6.200203206,1,1 +71,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.0363984,7.790031334,1,1 +63,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.97499653,7.449446217,1,1 +72,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.83250277,5.1718306,1,1 +73,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.47571927,7.60651812,1,1 +74,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.687067,9.059551859,1,1 +77,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.06453379,6.541269116,1,1 +75,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.47737838,9.776499327,1,1 +78,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.76681355,7.762372593,1,1 +79,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.14415401,8.466297567,1,1 +80,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.66725377,6.94274934,1,1 +82,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.65967935,4.977781511,1,1 +76,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.72667478,7.647729903,1,1 +81,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.25807206,6.977907904,1,1 +84,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.07512139,5.440648899,1,1 +83,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.980159176,7.193041498,1,1 +87,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.56403691,8.120661679,1,1 +85,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.58865238,6.927111601,1,1 +89,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.30092343,6.230592172,1,1 +86,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.38578489,9.270090992,1,1 +88,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.37698785,10.54247804,1,1 +91,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.11937472,8.583914454,1,1 +90,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.22578219,7.507954227,1,1 +92,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.63309862,5.173790795,1,1 +97,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.46313746,8.933980759,1,1 +95,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.34625782,5.165253972,1,1 +96,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.1680731,8.08308959,1,1 +94,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.39612735,7.192550534,1,1 +93,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.68504177,6.075369656,1,1 +100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.71557437,9.634453671,1,1 +99,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.12928964,9.77484832,1,1 +98,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.10489964,6.995054006,1,1 +101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.28695358,6.310776568,1,1 +105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.53534461,5.741686264,1,1 +103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.68439071,3.457977358,1,1 +102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.50218713,9.32446556,1,1 +104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.34599404,4.885926286,1,1 +106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.60839903,5.593369395,1,1 +108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.36406317,7.191397538,1,1 +107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.5694505,6.743579769,1,1 +111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.27683281,5.248207663,1,1 +110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.22005322,6.792242673,1,1 +109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.2075738,4.984479139,1,1 +112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.07391399,10.89492461,1,1 +114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.53775457,10.65469721,1,1 +113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.84348932,9.719962933,1,1 +115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.27416133,7.732478833,1,1 +116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.51968424,8.376450039,1,1 +119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.65229616,8.773214339,1,1 +117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.60798976,9.231604557,1,1 +118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.10925905,8.193165535,1,1 +120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.3349479,6.241088301,1,1 +121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.34725166,7.213368227,1,1 +122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.57121507,6.565030256,1,1 +125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.31426207,7.796983035,1,1 +124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.65542621,8.011790009,1,1 +128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.46318412,6.610642845,1,1 +127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.29193556,4.959311079,1,1 +129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.63695438,7.272927064,1,1 +130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.64903641,10.66103884,1,1 +126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.04061438,7.066813011,1,1 +123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.58503487,9.138426364,1,1 +132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.0518618,9.942306691,1,1 +133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.53188928,7.330240199,1,1 +131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.15300709,6.106954687,1,1 +136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.02466531,4.8982517,1,1 +135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.77189082,5.823948942,1,1 +137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.69327936,8.250432057,1,1 +138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.710996,8.607810859,1,1 +134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.02531002,10.24779584,1,1 +140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.00047886,7.585802469,1,1 +141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.25521241,7.413216229,1,1 +139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.70065238,9.411811349,1,1 +143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.42955038,9.89213137,1,1 +142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.23499264,6.046104042,1,1 +146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.61384343,5.065578112,1,1 +144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.05632207,7.1618358,1,1 +147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.60597984,7.368639049,1,1 +145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.2006568,6.023474592,1,1 +148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.63714315,9.921581142,1,1 +149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.27641799,4.051390494,1,1 +150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.50933579,5.039877435,1,1 +151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.64483661,8.538097455,1,1 +152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.12268213,4.017628833,1,1 +154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.68080788,9.272477816,1,1 +155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.40693964,7.811993445,1,1 +156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.71997707,5.415715798,1,1 +153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.80109854,7.880820019,1,1 +157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.40472477,6.955837498,1,1 +159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.960847772,7.047435598,1,1 +158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.63198748,6.488596886,1,1 +160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.41483825,8.101477755,1,1 +161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.00414222,7.824570465,1,1 +163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.40413308,6.36343093,1,1 +164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.31720736,9.85301792,1,1 +162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.65967884,7.822239156,1,1 +167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.20014364,7.260274303,1,1 +165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.63657556,3.608580162,1,1 +168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.60299018,7.971002765,1,1 +169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.52342124,10.60965782,1,1 +166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.63372386,4.366683739,1,1 +170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.12408264,5.802290059,1,1 +171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.65467747,8.604487372,1,1 +174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.07864855,8.090262051,1,1 +173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.05908897,8.440519073,1,1 +172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.83355262,6.328636376,1,1 +175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.58009452,5.227991114,1,1 +177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.15564366,7.736252237,1,1 +176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.3267114,7.012254841,1,1 +180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.59285945,4.536915871,1,1 +178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.0599399,6.397292377,1,1 +181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.22938553,7.632057889,1,1 +179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.14396932,7.743429012,1,1 +183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.63411021,8.015492214,1,1 +182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.38134597,8.285427668,1,1 +184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.13405605,8.801303713,1,1 +185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.14218139,7.211965273,1,1 +187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.2797385,6.618176235,1,1 +186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.30405544,8.415991586,1,1 +189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.65243029,4.845966944,1,1 +191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.57038046,7.940987986,1,1 +193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.75497344,9.513405132,1,1 +190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.4452468,6.687342481,1,1 +188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.957613722,9.587216036,1,1 +195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.23813208,7.519856587,1,1 +194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.91487529,8.975469711,1,1 +192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.1943306,5.251114317,1,1 +196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.34457106,7.2772728,1,1 +197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.70456613,7.560103128,1,1 +201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.33535592,7.308760464,1,1 +200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.56263649,5.26843522,1,1 +199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.72528249,5.981075496,1,1 +204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.61507626,9.646018563,1,1 +203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.00927168,8.009955446,1,1 +202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.63197271,8.108917521,1,1 +198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.02806185,6.832565166,1,1 +208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.27718049,8.82742262,1,1 +207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.89510362,8.345243864,1,1 +210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.67938988,4.563840119,1,1 +209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.12744856,7.226324039,1,1 +205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.51767811,5.955089509,1,1 +212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.961929662,9.445207948,1,1 +206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.919509513,9.731050585,1,1 +213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.28006558,7.23216952,1,1 +211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.78575749,5.456270225,1,1 +218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.41893636,11.32498658,1,1 +219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.24933799,5.880046879,1,1 +217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.66294788,6.371950163,1,1 +215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.34376812,8.751730598,1,1 +220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.72898165,5.639829305,1,1 +214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.05827076,7.541296437,1,1 +222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.46779175,6.983162169,1,1 +221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.00707158,6.618037078,1,1 +216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.5047162,5.896327586,1,1 +225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.61442854,6.862023247,1,1 +226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.7436175,7.374319732,1,1 +227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.56086542,6.333580514,1,1 +223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.79793728,10.1458231,1,1 +224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.09962398,9.651221849,1,1 +228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.06429386,4.627850718,1,1 +229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.1588184,6.844186305,1,1 +233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.28500392,5.257874993,1,1 +230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.24797623,8.310990243,1,1 +232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.23388155,8.258371458,1,1 +231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.43266399,8.437099075,1,1 +234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.22599619,3.796527533,1,1 +235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.947121137,5.275170767,1,1 +236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.28122144,7.807095306,1,1 +237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.00269003,6.967806852,1,1 +238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.18935277,9.633811177,1,1 +239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.5270949,6.675953233,1,1 +242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.2920728,8.361560597,1,1 +243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.77593598,8.475238837,1,1 +240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.25686074,8.866937731,1,1 +241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.989038099,5.903786813,1,1 +244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.85431374,7.85557359,1,1 +245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.42721383,6.397323499,1,1 +247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.4975496,8.618531743,1,1 +249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.8299776,7.460885504,1,1 +246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.71452007,6.438581737,1,1 +248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.78279578,7.523778426,1,1 +250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.29534273,8.493903662,1,1 +251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.9367038,8.420241198,1,1 +252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.69748712,5.10455052,1,1 +253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.05872449,7.137590123,1,1 +254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.954446309,5.778676821,1,1 +255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.41317477,6.12797918,1,1 +256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.4481493,7.217592831,1,1 +257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.54604728,9.735912188,1,1 +259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.50589523,4.571955366,1,1 +260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.50717606,5.224793247,1,1 +261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.24127065,5.421736339,1,1 +263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.64973343,5.702182674,1,1 +262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.6746059,7.583497102,1,1 +265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.45632889,9.377362667,1,1 +258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.1345058,7.590037182,1,1 +264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.35996403,9.057623401,1,1 +266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.09823793,10.02276703,1,1 +267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.05359309,8.823083309,1,1 +269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.60065482,2.515337534,1,1 +268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.36635169,7.784690903,1,1 +272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.1522142,6.242126737,1,1 +271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.23159322,4.360343621,1,1 +270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.50021633,9.206676792,1,1 +274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.70760462,6.500385207,1,1 +275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.75047736,6.608274671,1,1 +273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.60572065,5.085361072,1,1 +276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.968152791,9.146902112,1,1 +277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.70035867,6.042504134,1,1 +278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.07905332,6.323820052,1,1 +279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.25451889,3.907111118,1,1 +280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.56074496,7.471002517,1,1 +281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.51172379,6.441740491,1,1 +282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.13176097,6.989406403,1,1 +283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.85898844,7.304483818,1,1 +284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.65296227,9.634236666,1,1 +285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.61584527,4.017344585,1,1 +287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.55031046,6.930416827,1,1 +288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.54380317,9.04250502,1,1 +289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.16838353,7.775776946,1,1 +286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.12164909,6.794189556,1,1 +290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.23218747,3.661905392,1,1 +291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.79968204,4.106339481,1,1 +292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.78222426,6.526911314,1,1 +293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.937206482,4.590561975,1,1 +294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.2868771,10.08985327,1,1 +295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.44623046,9.946344329,1,1 +298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.63639873,6.183124545,1,1 +297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.14757309,5.949967964,1,1 +296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.02369214,8.077229019,1,1 +300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.47458762,6.707246171,1,1 +301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.36977951,6.999942813,1,1 +302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.46447259,8.899289294,1,1 +299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.13015986,7.622164052,1,1 +303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.82106309,6.164767353,1,1 +304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.6605777,7.462792977,1,1 +306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.05387159,8.768999856,1,1 +307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.69413379,6.336570787,1,1 +308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.02886494,6.518769676,1,1 +310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.46969311,9.938151376,1,1 +305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.74682136,7.683243432,1,1 +312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.16127918,6.363480881,1,1 +313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.34525081,8.938313349,1,1 +309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.17509481,5.777806583,1,1 +311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.00573183,5.475147316,1,1 +314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.985453393,6.779432094,1,1 +315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.26943961,4.919898363,1,1 +317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.989870308,6.613278251,1,1 +316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.4304043,7.996032545,1,1 +318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.34858412,7.960444908,1,1 +321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.61625033,7.790629867,1,1 +320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.11327389,6.914935113,1,1 +319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.31630459,10.56794944,1,1 +322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.5650849,5.251965515,1,1 +323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.15975622,9.521879245,1,1 +324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.58107726,5.386531848,1,1 +325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.37890596,6.428368948,1,1 +326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.60351086,7.571105203,1,1 +327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.28131934,9.597896115,1,1 +328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.36038593,4.320341644,1,1 +329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.02461795,8.539564089,1,1 +330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.993431781,6.427719391,1,1 +331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.13034055,9.400652197,1,1 +333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.68392062,8.982708352,1,1 +334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.52326282,6.023232004,1,1 +336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.52297486,7.344747243,1,1 +332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.70977879,7.786587284,1,1 +335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.46427222,6.32303228,1,1 +337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.70139361,8.98549276,1,1 +339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.63702237,8.983383032,1,1 +338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.50456791,7.291956853,1,1 +340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.75579521,7.018964122,1,1 +341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.38273078,8.010358079,1,1 +342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.65201765,9.654413529,1,1 +343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.50933826,5.96036931,1,1 +344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.27174975,5.570582199,1,1 +346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.42344732,7.057563663,1,1 +347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.74803906,7.388851434,1,1 +348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.36474153,7.929770104,1,1 +350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.69305672,10.43927045,1,1 +349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.48571066,11.82705771,1,1 +345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.20969925,5.384901138,1,1 +351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.2960043,7.127495895,1,1 +352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.0041188,10.03022943,1,1 +353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.17317337,6.586189335,1,1 +355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.70456651,5.996919926,1,1 +358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.08376505,5.574786625,1,1 +356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.6243727,9.37599709,1,1 +357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.1900334,10.52322767,1,1 +354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.56617988,7.23127157,1,1 +361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.08599724,6.452165465,1,1 +359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.75946542,5.064854018,1,1 +363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.51262097,7.456742972,1,1 +365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.69955444,8.481598025,1,1 +360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.60565792,7.055618234,1,1 +364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.13252471,11.16126216,1,1 +366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.74183969,7.082217074,1,1 +362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.3808629,6.11384969,1,1 +367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.05238206,6.056416169,1,1 +368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.53500679,7.969261323,1,1 +371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.10879593,9.307624435,1,1 +372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.29648494,7.397470022,1,1 +370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.7046081,9.459817702,1,1 +369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.74163577,11.07682805,1,1 +373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.19514915,9.473837527,1,1 +374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.59432497,8.266320203,1,1 +375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.30258521,6.549341679,1,1 +377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.80722045,8.356594183,1,1 +378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.14620066,5.534415023,1,1 +379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.28719452,9.344235905,1,1 +382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.70419078,6.054616767,1,1 +381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.48688833,8.063916134,1,1 +380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.48662968,8.052214992,1,1 +376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.19060521,9.090909723,1,1 +383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.65689399,6.200397971,1,1 +386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.952182275,7.256245466,1,1 +385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.46807072,6.172250332,1,1 +388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.63582736,12.09529523,1,1 +384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.04266859,6.659195037,1,1 +389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.58198067,8.737755385,1,1 +390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.00179331,7.785777035,1,1 +387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.62513371,7.589970709,1,1 +391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.62221196,10.10702888,1,1 +392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.25500896,7.039697404,1,1 +393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.62523465,8.870366682,1,1 +396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.3820861,11.17102603,1,1 +395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.36839264,4.293841666,1,1 +394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.65217538,6.825219934,1,1 +397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.68053468,8.351243925,1,1 +398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.5030488,8.266053477,1,1 +399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.08316846,6.631544753,1,1 +401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.07471601,6.303072985,1,1 +400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.43780474,7.429380194,1,1 +404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.948284426,9.819655266,1,1 +406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.63263475,7.505589013,1,1 +403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.20829015,7.676889648,1,1 +402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.44645488,5.071563255,1,1 +407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.58814116,7.967310231,1,1 +405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.31515394,5.577337601,1,1 +408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.64152501,4.906385588,1,1 +409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.63899319,4.533451832,1,1 +410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.71915245,4.946344484,1,1 +412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.37743121,12.47930355,1,1 +413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.61534426,7.598217575,1,1 +411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.33656358,8.913590058,1,1 +414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.56516287,7.392750782,1,1 +415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.55383069,6.97536965,1,1 +416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.66595635,7.467215231,1,1 +417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.39702521,5.477115334,1,1 +418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.54655794,4.857070694,1,1 +419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.07114511,7.109537653,1,1 +420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.18289718,5.846383214,1,1 +421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.40145017,6.103867788,1,1 +422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.31779051,10.06533515,1,1 +424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.34396725,10.60422193,1,1 +423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.14966605,8.840495206,1,1 +426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.21546397,8.79587764,1,1 +425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.6885487,10.25654654,1,1 +429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.62240177,7.402209946,1,1 +430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.53831954,7.718911231,1,1 +428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.12707712,6.003827326,1,1 +427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.24695009,8.615239658,1,1 +431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.01031457,7.164651073,1,1 +432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.77919989,10.9048346,1,1 +434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.5067611,7.272674159,1,1 +433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.69452255,9.296636012,1,1 +435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.66549883,9.617786838,1,1 +436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.36595085,9.921593028,1,1 +437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.69186791,7.653065688,1,1 +438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.43868529,5.986056683,1,1 +439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.73454729,9.340033125,1,1 +441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.01643532,7.725337595,1,1 +442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.19338567,7.059713468,1,1 +443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.1513045,6.930210641,1,1 +440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.7648371,6.223803181,1,1 +444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.30082106,4.882934993,1,1 +445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.24628649,5.939947533,1,1 +446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.69250366,8.190318739,1,1 +448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.42394715,5.556779521,1,1 +449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.30422706,7.544010659,1,1 +447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.53494947,11.35329873,1,1 +451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.12331776,7.025434561,1,1 +450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.52400587,6.521929518,1,1 +452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.53813467,6.168242695,1,1 +454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.03674861,4.950199917,1,1 +453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.37577898,7.429596997,1,1 +455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.65856486,7.959498104,1,1 +456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.71856887,11.47792714,1,1 +457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.71495378,7.673726979,1,1 +458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.32169622,6.998123998,1,1 +459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.10888389,11.26160438,1,1 +460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.50392381,5.806625916,1,1 +461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.22694073,7.913157092,1,1 +462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.25685287,6.782871669,1,1 +463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.78219075,7.107074587,1,1 +464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.80152892,7.961865471,1,1 +466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.35166575,7.872263314,1,1 +467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.46993661,7.022105836,1,1 +468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.21537971,4.494623987,1,1 +469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.80091155,5.677876499,1,1 +470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.955954114,8.977592712,1,1 +465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.15161219,7.804168929,1,1 +471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.18220968,4.72020835,1,1 +472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.66304002,9.252569954,1,1 +473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.29279415,6.419735374,1,1 +474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.10532562,6.893196379,1,1 +476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.21231464,7.117662329,1,1 +475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.56036157,6.96294593,1,1 +477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.34333087,10.43474841,1,1 +479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.3384486,7.001283732,1,1 +478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.35513087,7.729483133,1,1 +480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.12986299,7.211220752,1,1 +481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.71861562,10.23548247,1,1 +482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.57678337,10.58814256,1,1 +483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.40977661,7.60124084,1,1 +484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.12947799,8.985442298,1,1 +485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.09220026,6.584111023,1,1 +487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.03594666,8.815541177,1,1 +486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.11812797,8.301388391,1,1 +488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.20686625,8.428872551,1,1 +489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.61538087,10.8491136,1,1 +490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.72781521,9.769912972,1,1 +491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.72081735,7.4660191,1,1 +492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.32747469,9.303077828,1,1 +493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.777909,7.317226044,1,1 +495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.02626017,5.955636419,1,1 +497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.36747766,4.462138224,1,1 +496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.59656863,6.759024076,1,1 +498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.25977094,7.765104426,1,1 +499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.41572803,5.097953417,1,1 +494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.42171593,8.4909801,1,1 +500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.60648487,9.088770479,1,1 +501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.7239868,10.74532232,1,1 +502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.42430563,8.226764033,1,1 +505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.17609245,7.758348284,1,1 +503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.54224303,7.976089444,1,1 +506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.00054964,9.564835805,1,1 +507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.70015075,6.323852729,1,1 +508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.03801909,7.057867465,1,1 +510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.34989285,6.942619457,1,1 +509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.39043282,8.400606244,1,1 +504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.62424375,5.91799076,1,1 +511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.53726438,8.176807944,1,1 +512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.29135891,4.272239479,1,1 +513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.11069029,8.385631141,1,1 +515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.84724132,7.925858974,1,1 +516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.51900112,8.359715834,1,1 +514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.28663371,6.17493698,1,1 +518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.0602969,6.859604616,1,1 +517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.27291784,8.858951691,1,1 +519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.42458117,7.263321622,1,1 +520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.19528174,10.55060336,1,1 +523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.17519818,6.626499288,1,1 +521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.5296138,8.921545253,1,1 +522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.43241493,10.08313366,1,1 +526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.74454718,8.033419854,1,1 +525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.58889566,9.197303205,1,1 +527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.57706087,6.311109818,1,1 +524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.914693452,10.59397227,1,1 +528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.53562921,9.548769225,1,1 +529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.990316988,5.643762988,1,1 +530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.75183641,8.625270672,1,1 +531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.32297934,7.283747708,1,1 +532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.97159433,5.983409592,1,1 +533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.58030521,6.574881314,1,1 +534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.21240487,7.767948801,1,1 +535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.61472516,3.460848261,1,1 +536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.25862721,3.28841035,1,1 +537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.4780012,5.505083752,1,1 +538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.15199793,7.998907897,1,1 +539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.63503791,4.597982228,1,1 +541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.50788287,10.3909197,1,1 +540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.66707136,9.161943281,1,1 +542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.32358269,7.215152084,1,1 +544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.59040857,8.180071438,1,1 +543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.55241528,5.669244636,1,1 +545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.57555153,10.12731688,1,1 +546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.64144215,9.240320932,1,1 +547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.12036322,6.442102105,1,1 +548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.0696268,8.712944414,1,1 +549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.01449666,6.44406432,1,1 +550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.1376961,9.473660642,1,1 +551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.39540456,7.563297289,1,1 +553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.19384862,8.553034923,1,1 +554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.998763831,4.927875723,1,1 +555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.74336798,7.187697191,1,1 +552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.08326573,4.999902658,1,1 +556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.49705835,10.83865739,1,1 +557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.60772929,8.246107632,1,1 +558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.19371907,8.881764994,1,1 +559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.13921917,9.963653404,1,1 +560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.35933942,8.590644457,1,1 +562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.994579019,5.532415861,1,1 +561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.35481889,7.79499082,1,1 +564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.78253474,6.718400565,1,1 +563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.7102579,6.914306731,1,1 +565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.42512643,7.06657239,1,1 +566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.66410876,6.601539751,1,1 +567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.12717023,4.697996505,1,1 +568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.62653055,6.063997712,1,1 +569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.37948422,5.959807545,1,1 +570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.15751586,5.78854239,1,1 +571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.83863015,6.889456496,1,1 +572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.15186227,6.044950651,1,1 +573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.29374933,6.917331953,1,1 +574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.00719968,5.478963146,1,1 +575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.78853681,10.77153622,1,1 +576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.48048089,7.124438969,1,1 +577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.72738762,6.619569666,1,1 +579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.97610672,9.523905604,1,1 +578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.43896258,8.023007927,1,1 +581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.62812679,10.84655283,1,1 +582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.2103203,4.987980919,1,1 +583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.2878535,9.519677591,1,1 +580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.10688731,9.903069233,1,1 +584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.72347415,9.471466099,1,1 +587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.10425733,8.639139711,1,1 +586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.44591857,7.718749467,1,1 +589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.987925924,5.910523334,1,1 +588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.63472922,7.712900589,1,1 +585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.78432146,9.377609813,1,1 +590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.17247476,9.928717166,1,1 +592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.950884934,6.658324235,1,1 +591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.65758446,9.101368523,1,1 +593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.58632374,6.61399237,1,1 +595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.45933883,7.490333723,1,1 +594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.04116029,4.576110698,1,1 +596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.33663566,5.52690083,1,1 +597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.32914884,10.97573857,1,1 +598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.55476297,11.65325257,1,1 +599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.19828641,8.086403956,1,1 +600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.038546,9.053017331,1,1 +603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.2745547,5.921441028,1,1 +601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.975574652,5.785541925,1,1 +604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.22048126,7.633406243,1,1 +602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.9992562,7.590090906,1,1 +605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.74085908,8.830365868,1,1 +606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.35904921,6.424738653,1,1 +608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.6261777,4.627823228,1,1 +607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.15146261,6.606650124,1,1 +609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.54728493,7.977987251,1,1 +610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.59422915,8.486003629,1,1 +613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.76668754,6.394425638,1,1 +612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.52785342,5.600209234,1,1 +611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.33979143,8.413812544,1,1 +614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.62817045,7.48155593,1,1 +615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.13782721,4.444366132,1,1 +616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.72238908,4.991314787,1,1 +617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.42791636,11.25818934,1,1 +618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.31313755,7.3317656,1,1 +620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.25906433,4.288273552,1,1 +619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.29427799,9.071047359,1,1 +622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.11468301,8.928469688,1,1 +621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.32670906,8.193159924,1,1 +623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.989452229,10.54669634,1,1 +625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.30791167,5.252646939,1,1 +624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.19866136,8.914425966,1,1 +629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.49441964,5.91225102,1,1 +626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.3578244,10.70742827,1,1 +628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.3546796,10.18978631,1,1 +630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.961910102,7.726292471,1,1 +631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.21454815,8.512761043,1,1 +627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.913388162,5.207360794,1,1 +632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.61612788,9.088385436,1,1 +635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.64950814,7.435903095,1,1 +633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.02942573,8.283345973,1,1 +634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.29277331,8.06849289,1,1 +636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.86224012,7.693103252,1,1 +637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.0529527,5.209694388,1,1 +638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.21558243,5.643572283,1,1 +639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.76785346,6.508407781,1,1 +640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.12236477,6.283033836,1,1 +641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.23229894,10.43494234,1,1 +643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.1639233,7.429658587,1,1 +644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.14270485,8.892366765,1,1 +645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.956110682,4.387718545,1,1 +642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.05028593,7.430981524,1,1 +646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.27248813,6.890154787,1,1 +648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.958933725,8.921089366,1,1 +647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.48864333,8.25956817,1,1 +650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.32861057,9.325060859,1,1 +649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.70530884,9.323335797,1,1 +651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.75737398,3.565850972,1,1 +652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.08879711,8.063796009,1,1 +654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.74926933,6.377010007,1,1 +653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.59178789,6.938899407,1,1 +655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.13597436,6.454450156,1,1 +656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.34557294,7.888899616,1,1 +658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.23005427,5.177935367,1,1 +657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.18154244,8.370873369,1,1 +660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.58938023,11.87874775,1,1 +659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.57049121,8.475240089,1,1 +661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.11615608,7.481240739,1,1 +663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.5553887,7.082065346,1,1 +664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.76502378,11.05037342,1,1 +662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.67397309,7.994081891,1,1 +666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.76433407,6.601256938,1,1 +667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.18459767,8.712729428,1,1 +668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.90335836,7.254735642,1,1 +665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.62780155,7.877065606,1,1 +669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.64098676,6.674761717,1,1 +670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.70407807,5.016463504,1,1 +671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.15508494,6.845038756,1,1 +672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.74854513,7.467465783,1,1 +674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.0444129,7.282734772,1,1 +673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.54535782,7.635060571,1,1 +675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.63001927,8.018996377,1,1 +676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.8224964,8.790136773,1,1 +677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.51469749,10.98234556,1,1 +679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.30301739,7.954738194,1,1 +678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.43319681,6.459550377,1,1 +681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.36861408,8.535521031,1,1 +683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.09033739,7.114153311,1,1 +684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.25610977,7.366724948,1,1 +682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.24425491,8.567194497,1,1 +685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.1389151,5.038205835,1,1 +680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.74473799,6.643545949,1,1 +686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.81645036,8.426139111,1,1 +688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.02680936,6.914579075,1,1 +687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.35594794,9.423670351,1,1 +689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.51456639,7.431227204,1,1 +691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.73653586,6.313279776,1,1 +690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.23227508,9.044132986,1,1 +692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.84757906,4.590693529,1,1 +693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.61095675,4.976125303,1,1 +694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.46937311,8.647442186,1,1 +696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.00293436,6.658352731,1,1 +697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.05407481,11.74615116,1,1 +695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.55983089,8.671684437,1,1 +699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.10829258,5.636910213,1,1 +698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.73278353,4.550708254,1,1 +700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.60230261,6.517477592,1,1 +702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.49682731,8.701787877,1,1 +703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.08820799,7.152178448,1,1 +701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.23906239,8.140768399,1,1 +704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.66811252,2.666274565,1,1 +705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.6570353,7.32236024,1,1 +706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.45858557,5.582311602,1,1 +707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.39300069,6.953362379,1,1 +708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.76270901,4.74963152,1,1 +710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.38394669,9.6573728,1,1 +709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.913857885,5.203195823,1,1 +712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.38760876,5.89371889,1,1 +713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.69284074,8.72468282,1,1 +715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.54344296,8.274164495,1,1 +716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.61752593,9.011538002,1,1 +714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.40847751,5.643592057,1,1 +711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.63849478,7.260477479,1,1 +717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.00279399,4.71058502,1,1 +718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.42610479,9.280572932,1,1 +720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.17563728,3.934744482,1,1 +722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.47139083,7.294049194,1,1 +719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.09915,9.301400457,1,1 +723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.08307028,6.261676897,1,1 +724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.10596256,7.587080439,1,1 +721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.31326872,7.587436077,1,1 +726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.79826716,6.421928437,1,1 +725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.47835101,4.605614222,1,1 +727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.87673012,8.44462461,1,1 +728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.54912633,8.042743235,1,1 +729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.13990617,6.75001226,1,1 +730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.3975333,8.822688902,1,1 +732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.975245147,6.794556171,1,1 +734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.44401441,6.834648299,1,1 +733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.73989618,7.081954349,1,1 +731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.31547749,12.35262653,1,1 +737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.23260462,9.568608299,1,1 +735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.62851876,3.799191557,1,1 +736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.29049617,6.066095536,1,1 +739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.15997615,7.201553225,1,1 +740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.77803126,10.90092653,1,1 +738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.72135246,5.844171122,1,1 +741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.01937142,8.775408798,1,1 +742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.55368831,6.005220646,1,1 +745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.8455827,7.671180499,1,1 +744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.64685762,5.855734298,1,1 +746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.20482407,5.010138977,1,1 +743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.15313921,4.309578112,1,1 +748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.57392447,9.651516911,1,1 +747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.38938982,7.964792313,1,1 +749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.28105347,10.21195193,1,1 +751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.61925512,9.758309016,1,1 +752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.59804601,9.315375844,1,1 +750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.02470639,10.95450728,1,1 +753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.01224639,5.589087536,1,1 +754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.26642692,5.70230555,1,1 +756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.45300673,11.76866737,1,1 +755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.27659187,7.222320407,1,1 +757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.04657743,6.825493416,1,1 +758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.50708093,8.270226847,1,1 +760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.29998124,7.290530971,1,1 +759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.68744604,8.56670815,1,1 +761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.54579374,8.359680057,1,1 +762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.12869038,7.047796726,1,1 +763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.1925963,4.82742549,1,1 +764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.01976042,7.087135481,1,1 +765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.31267861,5.768389258,1,1 +769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.6025061,7.20513252,1,1 +766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.77665479,10.54196878,1,1 +767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.16117266,9.040243783,1,1 +770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.18421765,4.710517709,1,1 +768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.63304821,9.427299826,1,1 +771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.25952589,6.606321829,1,1 +772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.26231641,6.827596004,1,1 +773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.60700529,5.649968056,1,1 +775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.06235819,8.599858216,1,1 +777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.56003801,6.622475026,1,1 +774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.21105497,7.773520124,1,1 +778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.17806999,9.41850324,1,1 +779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.14138673,8.519364078,1,1 +776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.24258355,6.985677678,1,1 +780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.24379396,7.606200691,1,1 +781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.55679679,8.169774424,1,1 +782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.36094776,5.326871696,1,1 +784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.29203712,6.373485986,1,1 +783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.18496625,9.340066547,1,1 +785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.2170626,5.389560614,1,1 +788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.54154819,4.409601517,1,1 +789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.39862829,9.535882418,1,1 +787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.18663366,6.207969932,1,1 +786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.12481333,4.825234677,1,1 +790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.52603633,8.049213248,1,1 +792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.64044597,4.69917043,1,1 +791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.00024654,6.989368109,1,1 +793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.18792183,8.134511771,1,1 +794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.44403416,9.100950511,1,1 +795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.31361497,8.395413029,1,1 +796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.52833012,6.643661016,1,1 +797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.40320326,10.14934131,1,1 +798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.61072773,6.769976634,1,1 +799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.36476731,6.881936838,1,1 +800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.71856636,8.047880922,1,1 +801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.16601681,7.307597356,1,1 +803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.59643088,7.487679778,1,1 +802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.914514382,6.90486957,1,1 +805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.51776878,7.3501104,1,1 +806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.9886365,5.627468794,1,1 +808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.01841263,7.43343409,1,1 +809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.24820813,6.709327282,1,1 +807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.72104248,7.369830062,1,1 +804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.43408448,6.939010511,1,1 +810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.01795185,9.101655249,1,1 +811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.42003736,7.392745489,1,1 +813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.21583248,5.962152711,1,1 +815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.12320647,8.41943994,1,1 +816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.23469542,8.187064175,1,1 +817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.53991568,8.676009509,1,1 +818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.63931217,5.521203968,1,1 +819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.38746622,5.932446345,1,1 +812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.74295363,7.013772796,1,1 +820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.48881599,7.842163779,1,1 +814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.37152756,5.46928229,1,1 +821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.48976302,7.78796393,1,1 +822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.54800063,7.899583684,1,1 +823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.55370799,7.945863676,1,1 +824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.54751934,5.661670735,1,1 +825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.20645652,4.77759691,1,1 +826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.988566684,6.47157392,1,1 +828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.36334568,8.672745677,1,1 +827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.78095071,7.968918,1,1 +830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.45818584,8.160521582,1,1 +829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.4935307,6.406287037,1,1 +832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.965684066,5.50619971,1,1 +834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.49285095,7.721304593,1,1 +833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.98854066,10.44496289,1,1 +836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.21613156,9.312273126,1,1 +835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.34113729,10.82548528,1,1 +831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.65805277,4.306726444,1,1 +837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.81939471,5.855152566,1,1 +838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.7519463,8.428728704,1,1 +839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.12104263,6.334740549,1,1 +840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.65812217,9.201994277,1,1 +841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.963567295,4.433157776,1,1 +843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.483443,5.205470202,1,1 +844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.5969873,8.553026957,1,1 +845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.06674345,7.103423745,1,1 +842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.68541041,5.001040179,1,1 +846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.3264438,6.756133154,1,1 +847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.40922556,8.103983179,1,1 +848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.80573226,8.905579105,1,1 +850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.985679579,9.008314996,1,1 +849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.46071661,6.387827907,1,1 +851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.38019174,7.425739077,1,1 +853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.11252306,7.035051853,1,1 +852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.60162701,3.382936967,1,1 +854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.45626613,8.968987115,1,1 +855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.03685908,8.986541688,1,1 +856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.0346927,7.861725108,1,1 +858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.27369832,6.428984794,1,1 +857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.44751699,9.150844653,1,1 +859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.56589634,7.305543988,1,1 +862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.64510608,7.280275475,1,1 +861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.91838693,5.620365744,1,1 +863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.3384752,6.322808609,1,1 +860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.43024291,6.753925919,1,1 +864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.70201045,5.510292534,1,1 +865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.00970428,7.846442339,1,1 +866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.7975135,7.066811944,1,1 +867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.44839125,11.1513655,1,1 +869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.1263185,6.965172391,1,1 +870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.22478408,7.783708618,1,1 +868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.27925117,4.80122304,1,1 +871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.75352972,8.195900715,1,1 +872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.62964074,6.910040044,1,1 +873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.60306487,5.823315206,1,1 +874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.65119771,5.151023948,1,1 +876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.945890619,5.867235974,1,1 +877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.01824308,6.703177152,1,1 +875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.74961412,6.221959578,1,1 +878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.35563628,8.48353575,1,1 +879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.77564511,7.530089236,1,1 +881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.71515246,8.830826133,1,1 +880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.44358129,4.530492935,1,1 +882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.15056979,9.425085876,1,1 +883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.75758407,7.543719192,1,1 +886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.57702211,7.333133288,1,1 +885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.954649548,7.329941214,1,1 +884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.20759931,7.281977389,1,1 +887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.63444227,4.23021098,1,1 +889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.30788834,6.62794982,1,1 +888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.44000673,7.176241298,1,1 +890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.23699462,9.666423506,1,1 +891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.05505209,5.315140083,1,1 +894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.28536311,6.674272767,1,1 +893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.19042441,8.9199705,1,1 +892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.73591985,10.09363125,1,1 +896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.06155985,7.361666284,1,1 +897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.84085621,9.69149751,1,1 +895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.00685202,3.434595638,1,1 +898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.31181619,6.036352082,1,1 +899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.1917171,9.758286591,1,1 +900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.42126024,5.676841531,1,1 +902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.00798302,8.665735801,1,1 +901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.43732123,8.06857418,1,1 +903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.1451307,6.207047945,1,1 +904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.83169473,6.243304105,1,1 +905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.02822013,7.30953554,1,1 +906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.80577668,6.411359016,1,1 +907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.73693426,8.57226596,1,1 +908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.12706916,4.218565451,1,1 +909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.03691885,7.942745974,1,1 +911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.2941952,7.272263846,1,1 +910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.5329875,11.94145497,1,1 +913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.71989671,7.196899288,1,1 +912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.07930142,10.86871297,1,1 +914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.15996297,8.40012389,1,1 +915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.11183657,6.627889417,1,1 +916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.85570412,7.16034416,1,1 +917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.74529356,6.330892258,1,1 +918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.34529344,11.07310358,1,1 +920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.38469002,5.756454757,1,1 +921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.15634069,7.130593169,1,1 +922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.60764385,7.220609614,1,1 +923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.6511784,8.395503305,1,1 +924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.31745972,8.220528458,1,1 +925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.75127635,5.68163004,1,1 +919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.23329913,6.914558761,1,1 +926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.66281065,6.934944323,1,1 +927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.41022454,9.663876839,1,1 +928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.6085569,8.411218472,1,1 +929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.00130303,7.817923523,1,1 +930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.55898119,7.104146368,1,1 +931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.57529451,7.859239034,1,1 +932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.28296496,6.927945017,1,1 +934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.30908085,5.687425995,1,1 +933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.51313226,5.530799361,1,1 +935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.38502589,9.583076574,1,1 +936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.39414735,6.332072507,1,1 +937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.0603272,8.100393833,1,1 +938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.50556303,5.92912082,1,1 +939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.58238781,11.05220729,1,1 +940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.73959439,6.19404839,1,1 +941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.63211565,6.734728165,1,1 +944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.994879321,9.501085491,1,1 +943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.11181377,9.658329488,1,1 +945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.03950841,5.655129244,1,1 +942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.40341466,11.10183073,1,1 +946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.59643915,9.176850351,1,1 +947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.61901251,9.161748944,1,1 +948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.23714988,10.29633454,1,1 +949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.49222141,6.288046063,1,1 +951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.22688273,9.582787094,1,1 +950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.984562792,9.849577182,1,1 +952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.01017259,7.59254183,1,1 +953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.54976857,6.024816144,1,1 +954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.86386353,6.665388582,1,1 +955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.46706028,8.880843725,1,1 +956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.42517288,5.926581971,1,1 +957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.49162028,9.333999862,1,1 +958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.57116714,11.13033228,1,1 +960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.2274681,9.140594127,1,1 +959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.63446534,7.650755029,1,1 +962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.21454135,7.438644848,1,1 +961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.66209111,9.49935122,1,1 +963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.70091379,10.64098326,1,1 +964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.33461343,5.374080525,1,1 +965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.09295197,8.778616815,1,1 +966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.40959905,10.0554261,1,1 +967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.7267386,6.295855023,1,1 +968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.967947592,5.837766253,1,1 +969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.63119615,6.834569489,1,1 +972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.61798082,6.409797587,1,1 +970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.33070601,8.643994207,1,1 +971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.3566088,6.897566574,1,1 +973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.55343681,7.997732133,1,1 +975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,9.949162989,7.294108174,1,1 +977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.50292783,9.401032559,1,1 +976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.28847033,7.108665358,1,1 +974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.44601356,7.024893421,1,1 +978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.17345127,9.50399051,1,1 +979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.77338022,6.247548366,1,1 +980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.11149534,8.710328489,1,1 +982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.0451103,5.557285033,1,1 +981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.28088586,9.757009321,1,1 +983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.40612448,5.579833732,1,1 +984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.31914536,9.68170646,1,1 +985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.44706716,8.17606546,1,1 +986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.60140902,10.2520374,1,1 +988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.49384409,6.111049567,1,1 +989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.78165326,5.130836345,1,1 +990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.67585706,4.589665694,1,1 +991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.6936501,6.418157343,1,1 +987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.4563987,4.416443026,1,1 +992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.59373054,5.690535629,1,1 +993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.53397759,6.847003168,1,1 +994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.66502601,5.542945489,1,1 +995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.56872913,4.776582492,1,1 +996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.2876983,7.322090984,1,1 +997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.60202221,7.37664282,1,1 +998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.23840957,8.729385374,1,1 +999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.20840075,10.00337464,1,1 +1000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0,10,1,10.7321264,9.09966511,1,1 +1003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.71736086,8.768055747,1,1 +1002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.72718413,3.790331421,1,1 +1001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.7133773,8.298058213,1,1 +1004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.45895946,8.095866243,1,1 +1005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.20707132,8.299711374,1,1 +1006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.76487631,8.018766481,1,1 +1008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.21384475,6.966889065,1,1 +1009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.75984528,9.913845299,1,1 +1010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.17480945,3.580859304,1,1 +1011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.42933717,6.682476632,1,1 +1007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.4176942,7.174374094,1,1 +1013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.42948882,11.33133673,1,1 +1012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.38512728,8.922669668,1,1 +1014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.55061742,6.962605415,1,1 +1015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.63567237,11.18631516,1,1 +1017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.29152537,5.951182278,1,1 +1018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.06723517,8.424561587,1,1 +1019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.17174153,6.198832651,1,1 +1016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.48956033,5.579514577,1,1 +1020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.55804596,6.479750941,1,1 +1021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.76693825,7.829829549,1,1 +1022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.81122714,6.743394177,1,1 +1023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.928509963,9.670626797,1,1 +1024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.20244659,9.447103511,1,1 +1027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.40487202,6.713698687,1,1 +1026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.33023145,7.867254931,1,1 +1025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.71522361,6.504853461,1,1 +1028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.67850356,5.473029494,1,1 +1029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.15604816,6.998569494,1,1 +1030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.64976707,8.625007432,1,1 +1031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.01537204,8.055439836,1,1 +1032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.71223972,10.54952221,1,1 +1033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.33263423,5.152135656,1,1 +1035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.60544532,6.853421374,1,1 +1036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.70764984,5.841887007,1,1 +1034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.98256593,4.561266329,1,1 +1037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.63831204,7.109104646,1,1 +1038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.62579447,8.284385904,1,1 +1039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.79395808,8.145186198,1,1 +1040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.52838804,7.726381339,1,1 +1041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.63657824,7.3240837,1,1 +1043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.64970904,9.078681358,1,1 +1042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.51236414,8.524867329,1,1 +1044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.09753576,3.68265684,1,1 +1045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.64694274,6.468289708,1,1 +1046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.15077091,6.028134194,1,1 +1047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.7412916,8.452931943,1,1 +1048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.70112794,9.954585861,1,1 +1049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.14201299,5.27235476,1,1 +1050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.923144878,7.551712764,1,1 +1051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.39292117,7.018765636,1,1 +1053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.14529431,7.943091492,1,1 +1054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.60595608,8.505763859,1,1 +1055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.13249698,9.790722124,1,1 +1052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.69634019,7.636881961,1,1 +1056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.02595602,6.845892081,1,1 +1057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.5441476,6.940629194,1,1 +1058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.55262346,6.702097893,1,1 +1059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.61836285,7.85329041,1,1 +1060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.29375001,5.539169708,1,1 +1061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.44714032,7.285477524,1,1 +1062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.48542472,8.716258505,1,1 +1063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.35562377,5.328004777,1,1 +1064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.17909337,8.393656914,1,1 +1065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.69167434,6.588544481,1,1 +1066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.0161035,8.474206717,1,1 +1067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.26634562,9.599415553,1,1 +1068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.04359673,7.727719742,1,1 +1070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.0452966,7.606225975,1,1 +1069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.68966792,8.723858221,1,1 +1072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.39066987,8.591646664,1,1 +1073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.39556675,6.842868854,1,1 +1071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.7110501,7.991237976,1,1 +1074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.07553975,5.477771346,1,1 +1075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.71301698,7.672449047,1,1 +1076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.63373119,7.204958634,1,1 +1078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.39027065,5.704503191,1,1 +1077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.962115119,9.509886105,1,1 +1079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.41447657,6.506550167,1,1 +1080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.33558973,7.190391364,1,1 +1082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.38113662,5.015680613,1,1 +1083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.39976025,9.661608445,1,1 +1081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.926046716,6.832085931,1,1 +1084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.0676183,4.140079037,1,1 +1085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.25860682,8.77431175,1,1 +1086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.47028884,7.129642889,1,1 +1088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.696191,8.359604779,1,1 +1087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.37819673,7.41157661,1,1 +1089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.68154531,8.333026481,1,1 +1090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.20023296,8.091514396,1,1 +1091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.46919162,4.717313432,1,1 +1092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.15640572,5.467495374,1,1 +1093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.68478505,7.486138559,1,1 +1094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.933620321,5.138927859,1,1 +1095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.28764124,8.689891305,1,1 +1096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.47259227,7.999822753,1,1 +1097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.983315571,6.63733834,1,1 +1098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.64973782,9.721826522,1,1 +1100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.28922022,9.243347151,1,1 +1101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.11356101,7.123970083,1,1 +1102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.43324066,6.785976237,1,1 +1099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.2500555,5.395706524,1,1 +1103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.13190184,8.141237419,1,1 +1104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.28127641,6.276587255,1,1 +1105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.60033677,10.01731727,1,1 +1106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.60856903,8.581268683,1,1 +1109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.48434045,4.435586372,1,1 +1107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.63903536,6.857125227,1,1 +1108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.52211322,8.949705519,1,1 +1110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.57174029,5.818575523,1,1 +1111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.1882631,5.547167355,1,1 +1112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.13239918,2.128192541,1,1 +1113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.2679945,5.040916397,1,1 +1114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.53691519,8.583626574,1,1 +1115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.74170019,6.088719342,1,1 +1116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.54098817,7.249696915,1,1 +1117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.36302279,5.033350553,1,1 +1118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.74084864,8.26641895,1,1 +1120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.66017902,6.2265486,1,1 +1121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.258625,5.140425113,1,1 +1119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.6819094,4.241364739,1,1 +1123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.14374543,8.67283997,1,1 +1122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.30062726,5.366875455,1,1 +1125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.49094552,5.86115186,1,1 +1124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.13881796,5.615735096,1,1 +1127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.54102162,10.1905544,1,1 +1126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.30365147,8.189293948,1,1 +1128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.54577428,4.594569596,1,1 +1129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.02988479,5.524280455,1,1 +1131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.02907657,6.508732609,1,1 +1130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.40887581,7.164866998,1,1 +1132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.86470177,6.59072217,1,1 +1133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.6600977,7.247982877,1,1 +1134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.46984294,5.428876144,1,1 +1135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.81757169,6.473252195,1,1 +1136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.72074537,10.94332191,1,1 +1137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.4450308,7.433711776,1,1 +1138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.951144946,8.31310341,1,1 +1139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.47720504,6.410183863,1,1 +1141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.64659089,7.619756949,1,1 +1140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.63778524,8.062511618,1,1 +1143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.49913399,7.292343631,1,1 +1142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.1700474,8.198670709,1,1 +1144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.10892699,10.15080955,1,1 +1148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.2668586,7.751960956,1,1 +1146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.45711196,5.74391804,1,1 +1147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.28452166,7.896803115,1,1 +1149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.40121473,5.421629948,1,1 +1151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.48595525,7.308199386,1,1 +1150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.32896972,9.576275088,1,1 +1145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.50442398,6.544830345,1,1 +1152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.42400474,6.149965756,1,1 +1153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.37770619,8.201167487,1,1 +1155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.15566628,7.939932584,1,1 +1154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.16791559,5.333240436,1,1 +1156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.30213371,9.521745598,1,1 +1157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.63612214,11.02902663,1,1 +1158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.40988733,5.775434416,1,1 +1159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.48449767,6.216354752,1,1 +1160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.46040273,7.722367015,1,1 +1161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.01294422,8.30873343,1,1 +1162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.17443937,8.814433779,1,1 +1163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.28376013,6.593937354,1,1 +1164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.31579729,5.338370431,1,1 +1166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.702686,7.376136777,1,1 +1165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.4820285,7.350591767,1,1 +1168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.47023503,8.727139526,1,1 +1169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.12183057,6.755486134,1,1 +1170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.52056332,8.571260852,1,1 +1172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.26899626,10.96738157,1,1 +1167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.55060809,6.133358954,1,1 +1173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.05307911,8.225140176,1,1 +1171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.59563677,6.778499521,1,1 +1174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.63578359,6.57792414,1,1 +1175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.65287698,10.45983291,1,1 +1176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.62223589,6.093557602,1,1 +1177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.02328815,10.19309098,1,1 +1178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.60740588,5.622817275,1,1 +1180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.28665592,10.5118239,1,1 +1179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.39862263,5.224916364,1,1 +1182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.48708137,8.109395264,1,1 +1181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.971746425,6.586238185,1,1 +1183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.8617456,8.682949682,1,1 +1184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.30395723,6.852501725,1,1 +1186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.26326761,7.170745441,1,1 +1185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.948863591,8.12639261,1,1 +1187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.10518615,9.067964127,1,1 +1189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.57718995,4.090170553,1,1 +1190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.55605562,7.818022207,1,1 +1191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.35894521,7.432295513,1,1 +1188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.32293646,8.730147039,1,1 +1192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.21032453,5.115560585,1,1 +1194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.29936603,5.686632239,1,1 +1193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.72613485,6.391384818,1,1 +1195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.52877338,7.605563508,1,1 +1196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.06245204,3.844925997,1,1 +1197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.907914437,7.020975958,1,1 +1198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.52750978,11.10449358,1,1 +1199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.54147949,4.409214813,1,1 +1200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.24500702,7.752918109,1,1 +1201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.05127144,6.275815129,1,1 +1202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.57852325,4.790230746,1,1 +1203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.915323586,7.736235365,1,1 +1205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.918999757,7.632169873,1,1 +1204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.64878174,5.341153288,1,1 +1206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.40566154,5.200283176,1,1 +1208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.77336687,6.691011528,1,1 +1209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.63449819,8.180832305,1,1 +1207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.3202108,8.596307283,1,1 +1210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.55612614,7.897090933,1,1 +1211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.6991112,6.932350744,1,1 +1212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.55733574,6.972450895,1,1 +1213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.53646149,8.657554729,1,1 +1214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.53216586,8.09522367,1,1 +1216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.11680994,6.100812405,1,1 +1215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.20663651,6.991810627,1,1 +1217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.10425699,6.517494372,1,1 +1218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.17752101,6.875567487,1,1 +1219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.05850983,10.00796942,1,1 +1221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.08026114,7.765427499,1,1 +1220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.18142303,6.248858527,1,1 +1222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.955424313,8.786412564,1,1 +1223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.77432198,6.429549714,1,1 +1224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.26701601,6.287660897,1,1 +1225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.14959612,7.428687638,1,1 +1226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.54635926,6.524472657,1,1 +1227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.65893544,6.603867577,1,1 +1229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.2421662,7.360268368,1,1 +1228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.76244404,7.273229995,1,1 +1230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.4743547,8.824621824,1,1 +1231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.930404021,7.357327933,1,1 +1234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.47391678,5.166593116,1,1 +1235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.11302099,8.720319985,1,1 +1232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.15755461,5.814516208,1,1 +1233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.946937979,7.242740226,1,1 +1236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.35358129,8.31198431,1,1 +1237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.26403692,6.956181988,1,1 +1238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.32303159,7.627172773,1,1 +1240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.47631865,6.223651948,1,1 +1241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.67473501,6.473602029,1,1 +1239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.78342239,6.935425014,1,1 +1244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.74982168,6.545272653,1,1 +1242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.09905998,4.357171205,1,1 +1245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.38215554,6.913207545,1,1 +1246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.39118419,5.880303314,1,1 +1247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.08379051,6.251649966,1,1 +1248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.10258941,8.758278278,1,1 +1243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.24824143,10.3102292,1,1 +1250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.13997319,8.866979152,1,1 +1249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.962021803,6.324849112,1,1 +1252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.16938766,4.104243444,1,1 +1255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.86681691,5.894658752,1,1 +1251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.49400176,6.985898764,1,1 +1254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.51624217,4.352810937,1,1 +1256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.30394451,7.470561339,1,1 +1257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.996865781,6.351318602,1,1 +1258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.7185236,6.723655608,1,1 +1253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.45193628,7.421286318,1,1 +1259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.32753073,5.206694949,1,1 +1262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.07455916,6.870536258,1,1 +1260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.63088331,4.682368999,1,1 +1261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.36438697,8.472955644,1,1 +1264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.60528308,8.319431417,1,1 +1263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.29281669,5.874435028,1,1 +1265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.0097225,8.252902994,1,1 +1267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.80749389,4.948518383,1,1 +1269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.61017221,4.019288458,1,1 +1268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.45096898,9.192196808,1,1 +1270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.8705605,6.18877517,1,1 +1271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.59817021,8.980600483,1,1 +1266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.68334914,6.425814294,1,1 +1272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.52252375,7.348030982,1,1 +1273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.17278773,6.203167718,1,1 +1274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.3657222,7.31145905,1,1 +1275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.48995584,7.230626353,1,1 +1276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.984581793,5.298626219,1,1 +1277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.39806071,6.245233568,1,1 +1279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.64684842,9.035728001,1,1 +1280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.34327019,6.415654153,1,1 +1281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.39900225,4.727887097,1,1 +1282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.45242685,7.268707044,1,1 +1283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.55108096,9.93219176,1,1 +1284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.81329219,5.560371828,1,1 +1285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.940846903,8.540192086,1,1 +1278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.66321814,8.39985975,1,1 +1286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.03225821,6.082695978,1,1 +1288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.911154367,6.910093039,1,1 +1289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.55285718,6.673777714,1,1 +1287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.45726652,5.25207733,1,1 +1290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.08265983,8.69092869,1,1 +1291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.02200326,5.819734048,1,1 +1292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.34145018,8.163592588,1,1 +1293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.78779063,14.3698704,1,1 +1294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.3756374,10.37099208,1,1 +1295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.54151709,7.514832545,1,1 +1296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.54644787,10.11154009,1,1 +1298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.35753152,7.08104908,1,1 +1299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.03136477,7.735526497,1,1 +1297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.7432601,6.349013562,1,1 +1300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.07525403,6.538048958,1,1 +1301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.04783296,9.360811491,1,1 +1302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.33002122,9.108289854,1,1 +1303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.14063703,7.562976277,1,1 +1305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.09420812,7.420989224,1,1 +1304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.21060227,4.688618224,1,1 +1306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.50688937,6.962178436,1,1 +1308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.80604492,8.530658745,1,1 +1307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.27976055,5.196303425,1,1 +1309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.59964092,9.690955564,1,1 +1310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.31030901,5.826654103,1,1 +1311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.82558073,6.389346057,1,1 +1313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.23497961,8.534580405,1,1 +1312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.56555046,6.733698499,1,1 +1314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.04074074,5.305733181,1,1 +1315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.70530705,7.707077819,1,1 +1317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.69289215,7.992567048,1,1 +1316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.03828929,5.803915861,1,1 +1318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.42203271,5.937347607,1,1 +1319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.38801613,5.686071242,1,1 +1321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.16908461,6.862170274,1,1 +1320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.39848008,5.80429524,1,1 +1322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.905025951,7.401406825,1,1 +1323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.08593584,6.363889718,1,1 +1324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.11636554,3.969041757,1,1 +1326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.984171402,8.954640455,1,1 +1327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.67081871,8.647036252,1,1 +1325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.30977325,9.457850112,1,1 +1329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.31882833,7.929739454,1,1 +1328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.972456715,6.164359482,1,1 +1330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.31961153,6.407079705,1,1 +1331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.53296481,7.542406082,1,1 +1333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.6521046,5.737954754,1,1 +1332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.2728914,5.994220776,1,1 +1334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.53085089,8.490283483,1,1 +1336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.43793643,9.056561474,1,1 +1335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.52262744,8.160471507,1,1 +1338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.51595612,6.359822407,1,1 +1339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.66634951,8.159696305,1,1 +1337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.78192908,8.530712522,1,1 +1340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.55903651,5.253601494,1,1 +1341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.75628483,6.017431845,1,1 +1342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.75560112,5.402907231,1,1 +1343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.56328631,6.793573979,1,1 +1344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.67265079,9.901111066,1,1 +1345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.56539126,8.54431753,1,1 +1346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.56152274,3.715882101,1,1 +1347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.987274137,6.553899234,1,1 +1348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.18394876,7.099425412,1,1 +1350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.981212874,5.187419888,1,1 +1349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.55995003,6.565774477,1,1 +1351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.4462322,6.097144532,1,1 +1352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.47055573,5.895192177,1,1 +1353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.946915237,4.743066934,1,1 +1355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.49967989,7.529204717,1,1 +1354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.00009247,6.970887226,1,1 +1356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.08429593,6.34527703,1,1 +1357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.47983947,5.170049037,1,1 +1358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.75967633,9.45215933,1,1 +1359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.01112891,7.578261692,1,1 +1360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.51541075,5.999680336,1,1 +1361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.4875495,8.889007168,1,1 +1362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.61345689,6.479189452,1,1 +1363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.61811259,8.355253386,1,1 +1364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.05320807,3.050175416,1,1 +1365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.83781337,5.350125463,1,1 +1366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.03094519,6.697415035,1,1 +1367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.71930656,6.912102963,1,1 +1368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.32882426,8.139715177,1,1 +1369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.7228339,7.275740685,1,1 +1371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.29173539,5.935727165,1,1 +1370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.54891923,8.786227099,1,1 +1372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.197086,6.257793677,1,1 +1373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.07039161,6.584583558,1,1 +1375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.7395765,5.062675769,1,1 +1376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.44047567,8.521457278,1,1 +1374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.67353368,8.388074777,1,1 +1377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.63169732,8.182517631,1,1 +1378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.33997042,6.091265209,1,1 +1380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.27861615,5.579092153,1,1 +1381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.47010724,7.613979523,1,1 +1382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.58817909,6.248696441,1,1 +1379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.16253829,7.826475483,1,1 +1383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.4056023,6.488594029,1,1 +1384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.09934835,7.695785603,1,1 +1385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.40609961,6.686739461,1,1 +1386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.64302829,3.923717068,1,1 +1387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.72674593,5.441890411,1,1 +1388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.29233925,6.536634961,1,1 +1390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.942527278,5.931961308,1,1 +1391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.57225525,7.848774681,1,1 +1393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.04565125,6.183866843,1,1 +1392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.6868705,7.387272781,1,1 +1389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.38549882,9.224470075,1,1 +1394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.64264116,5.936210367,1,1 +1396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.17802133,6.242118868,1,1 +1395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.05033722,7.11908904,1,1 +1397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.06891131,7.72711941,1,1 +1398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.71636267,7.296399854,1,1 +1401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.08009292,6.314014185,1,1 +1400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.57134418,10.39580137,1,1 +1402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.33086091,7.401986224,1,1 +1403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.957002855,6.4102148,1,1 +1399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.48072823,7.388610482,1,1 +1404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.75354052,6.084416249,1,1 +1406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.25566123,6.788275639,1,1 +1405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.57880641,8.731877599,1,1 +1407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.69155602,6.267061425,1,1 +1409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.51625771,11.02236725,1,1 +1408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.35553911,4.492499461,1,1 +1410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.10713775,5.621346848,1,1 +1411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.30524471,6.262703043,1,1 +1412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.65255399,7.058389903,1,1 +1413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.15327547,7.833964739,1,1 +1414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.66951661,6.201343469,1,1 +1415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.66908874,5.763238218,1,1 +1416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.02122586,5.489906792,1,1 +1417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.67710785,8.090298947,1,1 +1418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.57540938,7.830834529,1,1 +1419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.43008805,5.012193072,1,1 +1420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.72371405,7.645489189,1,1 +1421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.37136359,8.337842464,1,1 +1423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.42788373,8.267910564,1,1 +1424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.54914522,7.0885496,1,1 +1425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.970571534,6.04062359,1,1 +1426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.27943477,7.739577468,1,1 +1427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.12655111,8.186399439,1,1 +1422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.44886456,8.080013769,1,1 +1428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.5322967,5.552165283,1,1 +1429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.4852992,9.937332551,1,1 +1431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.39427594,7.456007243,1,1 +1432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.41256264,6.786372189,1,1 +1434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.58192436,6.820668395,1,1 +1433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.69275183,6.213848569,1,1 +1430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.13222318,4.936706618,1,1 +1435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.31572842,4.670520862,1,1 +1436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.937498461,4.235812637,1,1 +1437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.46068061,8.181639449,1,1 +1441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.60288333,6.854929751,1,1 +1442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.06840123,8.791808011,1,1 +1438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.70350472,6.214902309,1,1 +1439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.37855783,6.861262588,1,1 +1445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.70220862,4.965008395,1,1 +1440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.49535081,7.164450915,1,1 +1444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.66526284,6.565176408,1,1 +1443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.7910053,10.36619009,1,1 +1448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.76245125,4.120617886,1,1 +1446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.53244163,8.519894976,1,1 +1449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.47335785,6.617692147,1,1 +1447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.5387005,5.184149809,1,1 +1450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.74909322,4.021033275,1,1 +1451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.63473536,10.56715556,1,1 +1452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.33311794,5.57492836,1,1 +1453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.20048712,6.268774586,1,1 +1455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.22675023,6.46617499,1,1 +1454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.17171814,7.87035809,1,1 +1456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.58392452,8.099616204,1,1 +1457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.42424778,7.55793578,1,1 +1458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.26646246,8.647350033,1,1 +1460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.63742771,6.701922762,1,1 +1462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.18077448,6.991314929,1,1 +1461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.95304262,8.417686258,1,1 +1463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.51592951,8.232347027,1,1 +1459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.73559058,11.9827657,1,1 +1464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.67921876,6.334284341,1,1 +1465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.41431773,7.675830358,1,1 +1466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.15445989,8.428701081,1,1 +1468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.76703062,5.844972393,1,1 +1467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.33713415,7.077539055,1,1 +1470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.76740458,7.819367417,1,1 +1471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.46489446,8.004659092,1,1 +1469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.04172054,7.039224311,1,1 +1472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.29674931,9.300137322,1,1 +1474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.68934637,7.85240489,1,1 +1473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.08721263,5.249384937,1,1 +1475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.3766572,4.885722713,1,1 +1476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.37363507,7.744466917,1,1 +1478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.62497088,6.167456031,1,1 +1477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.46482661,8.395438204,1,1 +1481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.39268375,8.471095828,1,1 +1479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.03281412,9.30894451,1,1 +1480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.19101025,6.291159249,1,1 +1482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.50793593,6.743725939,1,1 +1484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.18320719,4.891372675,1,1 +1483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.47308886,8.821185675,1,1 +1486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.6167558,7.361821942,1,1 +1485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.19829351,9.253853481,1,1 +1488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.01342075,7.21327599,1,1 +1487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.982797532,6.027340289,1,1 +1490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.52999735,8.453920245,1,1 +1489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.66115631,7.943407183,1,1 +1492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.69191326,5.41015464,1,1 +1491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.55573977,5.603169363,1,1 +1493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.06872771,10.13217608,1,1 +1494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.57100368,10.69437739,1,1 +1496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.4230366,5.89829273,1,1 +1498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.0565103,7.026529422,1,1 +1500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.31998389,6.505847235,1,1 +1497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.931883007,6.817875452,1,1 +1499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.998710323,8.044345615,1,1 +1502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.67538002,8.267221478,1,1 +1501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.5853162,7.999692103,1,1 +1495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.26754837,5.898810834,1,1 +1503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.19537355,5.8555534,1,1 +1506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.32071329,8.395333467,1,1 +1505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.14672742,11.84190441,1,1 +1504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.61963209,7.266895417,1,1 +1509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.01692884,8.660613784,1,1 +1508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.19716035,8.447965245,1,1 +1510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.72170649,7.137891009,1,1 +1507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.04500374,5.722678419,1,1 +1511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.20875955,7.977673298,1,1 +1512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.72644971,10.22160354,1,1 +1514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.23042918,5.803695258,1,1 +1513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.894318129,6.245125704,1,1 +1515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.55992756,5.877467106,1,1 +1516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.7409069,9.262671161,1,1 +1518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.01205044,8.33947392,1,1 +1519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.15625233,8.335730245,1,1 +1517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.25926449,3.524348949,1,1 +1522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.957618288,6.80504823,1,1 +1520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.66518719,8.234171409,1,1 +1521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.06489631,5.570886267,1,1 +1523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.45188378,6.134097957,1,1 +1524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.21169269,7.796137449,1,1 +1525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.13929584,6.17882849,1,1 +1526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.12133553,4.890845055,1,1 +1527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.46232537,8.646021026,1,1 +1528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.62298282,7.049680515,1,1 +1530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.31778712,4.738842132,1,1 +1529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.60041215,5.736013649,1,1 +1531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.07150931,7.340107642,1,1 +1532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.25143162,8.389979299,1,1 +1534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.13396848,5.992844478,1,1 +1533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.55177177,7.458831569,1,1 +1536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.25165126,8.000635242,1,1 +1535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.15659827,7.167630152,1,1 +1539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.84218337,4.875406993,1,1 +1537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.57952792,6.748857226,1,1 +1540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.65183082,10.1320525,1,1 +1538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.32073034,6.148902202,1,1 +1541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.82865165,6.465104634,1,1 +1543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.952770513,5.984312258,1,1 +1542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.15169221,7.63917663,1,1 +1545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.24086711,12.54399413,1,1 +1544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.70964846,5.968203415,1,1 +1546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.22635682,8.740795939,1,1 +1547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.6238143,4.655557446,1,1 +1548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.78620764,6.743478368,1,1 +1549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.62178591,3.139965617,1,1 +1551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.62150976,8.405412732,1,1 +1552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.18796814,6.039221917,1,1 +1550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.4930526,6.442879775,1,1 +1554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.36404584,8.430225332,1,1 +1553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.56024477,7.880311329,1,1 +1556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.67163563,7.009339856,1,1 +1555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.42422088,8.239181115,1,1 +1557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.15471154,7.704015407,1,1 +1559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.966773355,7.456352076,1,1 +1560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.02449825,8.513396993,1,1 +1561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.47071267,8.569961623,1,1 +1564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.37155444,6.726004255,1,1 +1558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.40463244,7.505487893,1,1 +1565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.84051021,10.36248318,1,1 +1563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.30823526,7.762842802,1,1 +1562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.996311954,11.62899918,1,1 +1566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.40576677,5.438676615,1,1 +1567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.6671241,9.058735078,1,1 +1572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.04988295,5.699925888,1,1 +1570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.83837114,4.210461078,1,1 +1569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.43099448,4.372541842,1,1 +1571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.63123868,5.746445632,1,1 +1568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.19125555,9.29206461,1,1 +1573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.47564287,6.378746075,1,1 +1574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.42252349,5.022470608,1,1 +1575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.64794939,5.410146453,1,1 +1576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.61722966,6.430436252,1,1 +1578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.2931876,9.03719788,1,1 +1579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.83327653,6.699170694,1,1 +1577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.77485821,4.891632358,1,1 +1580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.372214,6.175581383,1,1 +1583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.65636679,7.39852554,1,1 +1581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.67948269,10.27736945,1,1 +1582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.41704477,5.518769976,1,1 +1585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.75554267,6.341588606,1,1 +1586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.79192389,8.793366833,1,1 +1588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.22756248,6.548166146,1,1 +1584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.16443767,6.865633759,1,1 +1587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.13992377,8.289796454,1,1 +1589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.53465761,9.357988038,1,1 +1590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.02830051,9.413608567,1,1 +1593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.25557484,7.252392103,1,1 +1594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.17278515,9.120724337,1,1 +1591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.11302654,6.883761195,1,1 +1595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.28679105,8.654343434,1,1 +1596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.49741689,8.223396654,1,1 +1597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.77574232,4.205014857,1,1 +1598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.968759742,6.110697419,1,1 +1592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.4366164,7.438407839,1,1 +1600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.46829498,7.118117404,1,1 +1599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.71722803,7.147867144,1,1 +1601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.31083635,5.673953395,1,1 +1603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.26491469,4.430136388,1,1 +1602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.49535311,5.181089955,1,1 +1604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.37459941,5.457571506,1,1 +1605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.20139894,7.277736453,1,1 +1606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.23157468,7.66241239,1,1 +1607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.40753518,8.102459328,1,1 +1608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.33961488,5.225874045,1,1 +1611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.961520131,5.682065952,1,1 +1612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.32896722,5.646853982,1,1 +1609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.1459322,8.629016092,1,1 +1614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.43882567,6.012573009,1,1 +1610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.955792867,5.576162272,1,1 +1615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.76259619,7.54681159,1,1 +1616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.53130782,8.88292355,1,1 +1617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.05473721,5.197461254,1,1 +1618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.35792487,6.590989831,1,1 +1619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.993771679,5.221602826,1,1 +1613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.05563387,8.738366214,1,1 +1621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.52284906,5.809671536,1,1 +1620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.928843481,9.510686187,1,1 +1622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.4294714,10.05609058,1,1 +1623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.6622812,6.785829082,1,1 +1625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.72953218,8.551842783,1,1 +1627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.947335225,10.43779334,1,1 +1626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.79818968,8.347758334,1,1 +1624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.31441748,6.168315743,1,1 +1628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.27314636,9.382180305,1,1 +1629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.73481463,8.886242338,1,1 +1630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.52000552,5.852733121,1,1 +1631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.999926348,5.847549433,1,1 +1632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.0297869,5.310066403,1,1 +1635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.0389836,12.4605929,1,1 +1634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.28382536,8.377892759,1,1 +1633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.74834756,5.008608591,1,1 +1637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.33517196,3.668116496,1,1 +1636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.15914131,6.111541147,1,1 +1638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.20530328,8.031234244,1,1 +1640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.26774428,4.918340793,1,1 +1639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.69177035,8.782743844,1,1 +1641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.19043707,5.173823266,1,1 +1643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.13903749,7.048608352,1,1 +1645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.12661456,7.272757548,1,1 +1642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.76561886,8.110986592,1,1 +1644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.07494049,5.98917157,1,1 +1646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.39774999,7.384747473,1,1 +1648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.986922736,5.280985709,1,1 +1647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.19374081,7.202202726,1,1 +1649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.29974312,6.956267824,1,1 +1650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.72602696,5.038281217,1,1 +1651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.964914756,7.834777751,1,1 +1653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.03202632,9.478915859,1,1 +1652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.65309915,4.075171656,1,1 +1656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.09598579,6.125488623,1,1 +1654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.6337639,9.275778687,1,1 +1655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.47769367,8.024080341,1,1 +1657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.69684042,8.106642798,1,1 +1659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.09709997,6.877974493,1,1 +1658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.44955576,10.39072011,1,1 +1660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.42322839,5.54989124,1,1 +1663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.68322058,8.814303487,1,1 +1662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.36353417,4.937730182,1,1 +1664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.57856238,4.338063163,1,1 +1665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.00082222,11.31743401,1,1 +1661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.08953303,5.875260532,1,1 +1666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.50245117,7.556897455,1,1 +1667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.54521854,9.228861423,1,1 +1668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.83885033,6.631951366,1,1 +1669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.51493761,4.73966793,1,1 +1670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.71619027,5.228313142,1,1 +1671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.50371472,6.574541556,1,1 +1672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.38622964,10.11426266,1,1 +1674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.72812261,5.321385462,1,1 +1675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.16619557,6.204238304,1,1 +1673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.03862487,4.360180966,1,1 +1676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.35254313,6.402637868,1,1 +1678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.18398814,6.38157046,1,1 +1679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.49728991,7.377611301,1,1 +1677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.36258126,8.710876927,1,1 +1681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.54514435,5.956607881,1,1 +1682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.36115995,7.94596071,1,1 +1683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.77478122,7.0182356,1,1 +1680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.78230416,7.781444134,1,1 +1684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.39632351,6.97840719,1,1 +1686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.14758799,8.370647834,1,1 +1687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.57891787,7.774546351,1,1 +1688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.29047554,6.444028285,1,1 +1685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.26614553,9.747919435,1,1 +1689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.80029381,5.95938242,1,1 +1691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.04673468,7.269661572,1,1 +1690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.914932517,7.159613359,1,1 +1692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.46999112,7.467569365,1,1 +1696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.21605266,7.395883679,1,1 +1695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.28456754,9.260869384,1,1 +1693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.00826946,9.152604089,1,1 +1694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.10224616,5.788236242,1,1 +1697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.11645265,7.95401539,1,1 +1698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.47846679,6.444733579,1,1 +1699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.44153227,8.699677812,1,1 +1700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.55104915,6.525840059,1,1 +1701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.10872244,4.742053749,1,1 +1703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.55937751,8.325400025,1,1 +1702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.43045703,5.491880778,1,1 +1705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.57823955,2.848742097,1,1 +1704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.62392927,6.139062335,1,1 +1707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.56325237,7.466508588,1,1 +1706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.12723953,7.718179201,1,1 +1708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.47333997,7.661301156,1,1 +1711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.996599368,9.765270554,1,1 +1709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.43364454,10.56817139,1,1 +1710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.55068687,8.189166685,1,1 +1712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.52206073,7.397400396,1,1 +1713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.3646649,5.930795771,1,1 +1715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.36194867,5.815364261,1,1 +1716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.08010586,11.06766797,1,1 +1718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.927554178,8.696742127,1,1 +1719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.1445546,7.510989945,1,1 +1714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.08170782,5.337697451,1,1 +1721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.971660608,8.02885173,1,1 +1720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.54946876,8.084716434,1,1 +1717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.41370261,10.85400887,1,1 +1722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.45460804,7.985042987,1,1 +1723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.28307315,7.573301755,1,1 +1724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.30864679,5.291609754,1,1 +1725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.00398767,4.849879538,1,1 +1726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.04385122,6.527539709,1,1 +1727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.26375701,8.338161575,1,1 +1728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.40148793,8.385106282,1,1 +1729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.602576,4.733396264,1,1 +1730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.30632974,9.888523946,1,1 +1732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.07785441,7.398033519,1,1 +1731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.4986308,5.171367842,1,1 +1733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.63561505,4.481405501,1,1 +1735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.66548931,6.04956355,1,1 +1736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.18842121,8.820282864,1,1 +1737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.59305004,4.916252429,1,1 +1734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.63331365,6.971515377,1,1 +1738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.8555562,5.692406833,1,1 +1739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.4958893,8.596360855,1,1 +1741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.0512488,6.520112348,1,1 +1742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.1232595,4.646602237,1,1 +1740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.66054386,6.534101613,1,1 +1744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.11333105,4.888726525,1,1 +1743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.19781337,7.690904619,1,1 +1745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.60961191,8.881009045,1,1 +1746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.27744367,7.139924036,1,1 +1747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.80155551,6.508008365,1,1 +1748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.09566028,6.574845766,1,1 +1749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.4787592,9.119554158,1,1 +1750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.71656974,6.641735816,1,1 +1751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.23145982,6.199491331,1,1 +1754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.27357755,5.019136965,1,1 +1753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.19439125,7.624535902,1,1 +1755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.17225621,7.395538611,1,1 +1752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.37816154,7.881099977,1,1 +1757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.46544914,10.39376083,1,1 +1758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.67111747,6.610469847,1,1 +1756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.3218888,6.248651005,1,1 +1759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.64092411,7.702055705,1,1 +1760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.965211172,5.047279312,1,1 +1762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.7603788,7.378166415,1,1 +1763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.48359303,6.974809772,1,1 +1765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.63196963,5.7937683,1,1 +1761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.69844152,7.047379759,1,1 +1764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.27445852,8.600544931,1,1 +1766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.14585596,8.160259101,1,1 +1767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.15974933,5.683772086,1,1 +1770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.40389753,6.508919922,1,1 +1771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.3709731,6.515553957,1,1 +1768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.60780967,5.563410899,1,1 +1769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.30627258,7.403480794,1,1 +1772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.55491261,8.555799649,1,1 +1773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.23413974,7.796622978,1,1 +1774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.981679995,7.099104427,1,1 +1775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.81429436,7.379143522,1,1 +1776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.75598628,9.53417166,1,1 +1778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.47384723,8.377746836,1,1 +1777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.11842542,8.588874353,1,1 +1779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.47789618,7.993158844,1,1 +1780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.24919778,7.308285253,1,1 +1782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.70371908,8.251807388,1,1 +1781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.78333486,7.742678305,1,1 +1783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.945825665,6.648999461,1,1 +1785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.0719779,5.946302592,1,1 +1786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.12507972,6.110008544,1,1 +1787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.25906419,7.771583114,1,1 +1784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.12663896,5.990559946,1,1 +1789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.981450655,8.461344623,1,1 +1788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.44079289,5.143954401,1,1 +1791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.974416181,5.46316431,1,1 +1790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.12917427,7.801597317,1,1 +1792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.50121567,5.31482512,1,1 +1794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.82886687,6.988938889,1,1 +1793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.18556987,4.912986838,1,1 +1795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.71942378,8.448813272,1,1 +1796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.57529882,6.437792632,1,1 +1798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.81093631,7.403112045,1,1 +1797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.43342555,8.292939971,1,1 +1799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.29208191,5.882535242,1,1 +1800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.51014972,6.837462075,1,1 +1801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.959993101,10.17202346,1,1 +1804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.4852909,6.816766592,1,1 +1803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.28373487,6.410051147,1,1 +1802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.22973567,6.893161159,1,1 +1806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.60529741,5.976107707,1,1 +1805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.61508211,4.650557019,1,1 +1808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.23643268,8.145964196,1,1 +1807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.75793099,9.306328389,1,1 +1809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.65616397,9.257882323,1,1 +1810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.45300453,6.938269309,1,1 +1812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.66739196,6.622749015,1,1 +1814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.40789173,4.273687935,1,1 +1813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.24562535,7.737543487,1,1 +1811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.42990194,9.775312503,1,1 +1815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.67065894,6.530397452,1,1 +1817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.21273836,6.46627243,1,1 +1818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.41719972,6.988297748,1,1 +1819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.16681859,6.807096137,1,1 +1820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.0052056,6.45063245,1,1 +1821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.34408228,8.286567982,1,1 +1822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.926310826,9.483694608,1,1 +1816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.11583531,7.31459581,1,1 +1823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.68655307,3.656775587,1,1 +1824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.07282789,7.330984438,1,1 +1825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.16299654,4.642732664,1,1 +1827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.77641382,7.501310005,1,1 +1829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.54011634,7.8283,1,1 +1826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.868751158,6.829723173,1,1 +1828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.16610957,6.240517656,1,1 +1831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.73027769,11.5592361,1,1 +1832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.32908006,6.520229256,1,1 +1833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.33788723,5.240468078,1,1 +1830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.05099494,4.077774619,1,1 +1834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.18433603,8.050240125,1,1 +1836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.985465719,9.735506446,1,1 +1835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.40925508,6.81348061,1,1 +1837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.23261911,6.890515056,1,1 +1838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.45142334,8.943856626,1,1 +1839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.74359341,6.894773942,1,1 +1841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.1727684,8.175428678,1,1 +1842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.10808032,7.104324218,1,1 +1844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.40599401,6.281034693,1,1 +1840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.19159167,6.989273928,1,1 +1843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.67673557,6.882373507,1,1 +1845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.46675662,9.688087399,1,1 +1846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.70907046,3.432343877,1,1 +1847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.75062004,7.195374937,1,1 +1849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.05136471,10.9929679,1,1 +1848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.35695045,8.896714272,1,1 +1851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.06544012,8.742023901,1,1 +1852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.04855818,7.14726842,1,1 +1853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.60500554,4.985644535,1,1 +1855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.27540404,8.869323264,1,1 +1850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.29961551,5.025599926,1,1 +1854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.68614677,6.249855207,1,1 +1856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.3575689,8.112777506,1,1 +1858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.25587478,8.407933794,1,1 +1859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.00734454,9.542346904,1,1 +1857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.06506597,5.122431002,1,1 +1860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.29280415,7.209828279,1,1 +1862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.18241943,9.510712412,1,1 +1861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.64446613,6.951421419,1,1 +1863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.53848137,7.401477007,1,1 +1864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.54036423,8.206922761,1,1 +1867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.76823717,6.701230571,1,1 +1866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.20637207,10.14990896,1,1 +1865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.52424484,7.138315861,1,1 +1868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.68338599,6.584383627,1,1 +1870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.33124826,5.235345544,1,1 +1869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.42051012,7.208886276,1,1 +1871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.51614453,7.922481286,1,1 +1872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.13942553,7.449888051,1,1 +1874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.25885529,8.334883032,1,1 +1875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.62020466,7.393572713,1,1 +1876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.43805359,6.848886318,1,1 +1873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.74200184,8.676555362,1,1 +1878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.41131626,7.07751757,1,1 +1880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.6030612,9.365391538,1,1 +1877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.69768121,8.839452088,1,1 +1879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.31545659,5.501152905,1,1 +1881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.933325376,6.567340037,1,1 +1882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.14907544,6.903399421,1,1 +1883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.18518107,7.884608819,1,1 +1885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.15606036,6.348501312,1,1 +1886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.30129424,11.93726987,1,1 +1884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.19291571,5.71347914,1,1 +1887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.57693995,5.464113223,1,1 +1888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.19606506,7.341180249,1,1 +1889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.461993,5.674402709,1,1 +1890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.5353993,7.37253968,1,1 +1891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.09886294,4.635949138,1,1 +1892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.988832996,8.037973116,1,1 +1895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.04695378,6.800109786,1,1 +1893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.939002371,6.062191042,1,1 +1896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.77943661,8.928198481,1,1 +1894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.76907335,6.118402448,1,1 +1897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.21121946,7.595737436,1,1 +1898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.27215513,8.337305587,1,1 +1900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.25732641,6.120232464,1,1 +1899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.19580305,7.179142498,1,1 +1902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.02640826,5.868877242,1,1 +1901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.33618212,5.970507638,1,1 +1903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.81128982,10.64962575,1,1 +1904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.45003562,8.724319311,1,1 +1905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.935484015,6.231196295,1,1 +1907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.17071769,10.63607424,1,1 +1906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.73236064,9.457145304,1,1 +1909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.61633425,9.013142261,1,1 +1908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.23548338,13.67592102,1,1 +1910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.19081081,5.936592552,1,1 +1912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.06901392,6.92805614,1,1 +1911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.5187434,6.451639907,1,1 +1913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.25992347,5.949946926,1,1 +1915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.11658763,4.321332868,1,1 +1914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.26657769,6.122440864,1,1 +1917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.26901255,8.337801788,1,1 +1918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.76647199,8.748659204,1,1 +1920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.29844934,8.342311542,1,1 +1916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.43177522,5.600206429,1,1 +1921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.48786448,7.165348481,1,1 +1922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.08752352,6.064964576,1,1 +1923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.43611805,10.45866755,1,1 +1919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.3391999,10.43950858,1,1 +1925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.01276277,7.614440255,1,1 +1924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.76640851,8.184200979,1,1 +1927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.27111321,7.041869295,1,1 +1926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.39202725,5.457047156,1,1 +1928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.35437738,7.716397837,1,1 +1929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.66691132,6.718207051,1,1 +1930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.80718989,10.08420257,1,1 +1931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.28594713,5.350155412,1,1 +1932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.06254941,8.896139621,1,1 +1934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.50767134,8.25573743,1,1 +1933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.15181476,9.379582675,1,1 +1935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.914135291,5.593327973,1,1 +1936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.05502315,9.253177914,1,1 +1937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.34776186,5.483502717,1,1 +1938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.61665104,8.81653466,1,1 +1939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.70295048,6.601663061,1,1 +1940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.54430161,8.695295026,1,1 +1942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.07241028,6.984376614,1,1 +1941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.69796665,5.827874758,1,1 +1944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.00081283,5.395401144,1,1 +1946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.48161911,4.571396423,1,1 +1943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.48248049,6.642973219,1,1 +1945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.60245999,7.588330477,1,1 +1950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.08734301,7.057491884,1,1 +1948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.871355,5.288612644,1,1 +1949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.43420837,7.629992804,1,1 +1947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.932120304,4.940074401,1,1 +1953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.37964417,2.96414091,1,1 +1951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.70342777,7.157184141,1,1 +1952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.24923908,7.899800549,1,1 +1954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.10798046,7.221933202,1,1 +1956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.66379573,6.10604452,1,1 +1957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.45744027,5.090369343,1,1 +1958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.48627758,5.886968889,1,1 +1959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.36306157,5.470942503,1,1 +1961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.07643645,7.652073003,1,1 +1960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.56900283,6.124319589,1,1 +1955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.63628936,6.275713048,1,1 +1962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.35453995,6.929227815,1,1 +1964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.2905886,7.792162151,1,1 +1963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.51239037,5.032355028,1,1 +1965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.7265692,7.328488779,1,1 +1968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.17616195,9.377596179,1,1 +1967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.21563614,8.549000001,1,1 +1966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.50795117,8.495427745,1,1 +1969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.32261673,9.239637328,1,1 +1970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,9.996750135,4.77514181,1,1 +1972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.19786969,4.970606087,1,1 +1974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.60340943,7.256269077,1,1 +1971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.02266591,7.96709939,1,1 +1977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.5959633,9.031600475,1,1 +1973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.34262374,3.893828107,1,1 +1976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.49704047,7.164413948,1,1 +1975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.07265355,6.012012925,1,1 +1978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.38249217,6.286786466,1,1 +1979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.35052717,7.805704774,1,1 +1981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.45365292,8.199617729,1,1 +1983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.32980465,5.650747704,1,1 +1985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.08964458,7.36272147,1,1 +1984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.6586893,8.790958925,1,1 +1980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.18352515,7.453387179,1,1 +1986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.73742076,8.114862461,1,1 +1982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.69461162,8.308562819,1,1 +1987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.5296572,5.561395851,1,1 +1988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.49132941,6.586156966,1,1 +1989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.20242802,6.367798395,1,1 +1990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.52298461,8.516316847,1,1 +1991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.70856352,6.549809021,1,1 +1994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.27826277,4.294868263,1,1 +1993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.10751657,6.83025799,1,1 +1992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.7230809,5.796432871,1,1 +1995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.44554811,6.946121531,1,1 +1997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.03081745,5.392331275,1,1 +1999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.02855814,5.13601742,1,1 +1998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.24473439,7.856856916,1,1 +1996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.28709814,5.383191028,1,1 +2000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.05,10,1,10.06510841,6.193238053,1,1 +2001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.53356963,7.939459616,0.999,1 +2003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.40023029,6.406349513,0.999,1 +2004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.1528809,5.71180333,0.999,1 +2002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.35491552,10.85602734,0.999,1 +2005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.06482544,9.476849317,0.999,1 +2007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.991924212,4.549464455,0.999,1 +2008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.31017028,6.33853253,0.999,1 +2006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.76154666,7.131101581,0.999,1 +2009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.21427105,6.650657417,0.999,1 +2011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.56734082,5.866484048,0.999,1 +2010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.22959288,6.24089936,0.999,1 +2012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.19629172,8.380363177,0.999,1 +2013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.6485698,8.033406807,0.999,1 +2014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.70954563,8.734894178,0.999,1 +2016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.23805914,5.440649502,0.999,1 +2017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.5854097,6.27145008,0.999,1 +2015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.41720795,6.562864125,0.999,1 +2018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.79232934,7.429101264,0.999,1 +2019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.31702644,5.703438857,0.999,1 +2020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.982551839,8.288066265,0.999,1 +2021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.48247249,6.729259542,0.999,1 +2022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.51666381,8.000170097,0.999,1 +2023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.23058928,5.170029934,0.999,1 +2024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.37649151,8.210892235,0.999,1 +2025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.31151962,7.518079965,0.999,1 +2026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.23499189,5.994495513,0.999,1 +2027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.151803,9.373560261,0.999,1 +2029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.39715224,4.78580347,0.999,1 +2030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.56213934,7.360029297,0.999,1 +2031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.79396413,5.976862099,0.999,1 +2028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.64348264,6.915422346,0.999,1 +2032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.11751399,5.222566408,0.999,1 +2033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.15980343,5.70149332,0.999,1 +2035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.30778238,6.54811187,0.999,1 +2037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.34048554,6.203351121,0.999,1 +2034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.71365708,5.896260412,0.999,1 +2036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.52876584,6.154321263,0.999,1 +2038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.71501094,5.037087181,0.999,1 +2040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.52444701,7.526219879,0.999,1 +2042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.3662796,7.123356783,0.999,1 +2041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.63637353,4.543339463,0.999,1 +2039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.55809422,6.325129199,0.999,1 +2043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.982138528,6.962923363,0.999,1 +2044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.30834105,2.748869846,0.999,1 +2045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.3684101,7.790781665,0.999,1 +2046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.19052085,6.024990376,0.999,1 +2048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.18047587,5.450417287,0.999,1 +2049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.7472269,10.7499806,0.999,1 +2047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.01751023,6.498679122,0.999,1 +2051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.6584116,7.581868179,0.999,1 +2050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.52733983,9.23082763,0.999,1 +2054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.12886141,5.263227765,0.999,1 +2052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.25477355,8.833134273,0.999,1 +2053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.90456908,7.236306333,0.999,1 +2057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.45929553,7.843975172,0.999,1 +2055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.3331598,4.19273185,0.999,1 +2056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.4899187,7.920331166,0.999,1 +2058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.3589144,9.884268068,0.999,1 +2061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.63876616,5.615094851,0.999,1 +2060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.46214598,7.171100322,0.999,1 +2062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.55723514,4.921965422,0.999,1 +2059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.55791006,7.264150623,0.999,1 +2063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.71063494,8.304699379,0.999,1 +2064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.69023611,5.353201594,0.999,1 +2066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.01329804,7.624104091,0.999,1 +2065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.29281006,6.797112461,0.999,1 +2067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.27747475,7.518524404,0.999,1 +2068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.36353463,8.09334451,0.999,1 +2070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.06902516,4.958369473,0.999,1 +2069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.53943081,9.72700793,0.999,1 +2071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.73345245,5.18399965,0.999,1 +2072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.21265422,4.056036024,0.999,1 +2074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.03058893,7.116108465,0.999,1 +2073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.968264651,9.873736123,0.999,1 +2075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.30822214,6.635087302,0.999,1 +2077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.1957622,7.453046525,0.999,1 +2078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.54328803,4.580066094,0.999,1 +2079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.32037926,5.665102985,0.999,1 +2076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.26402675,7.063539952,0.999,1 +2080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.37553259,8.151868449,0.999,1 +2081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.67241712,5.999690087,0.999,1 +2082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.45493274,8.016625781,0.999,1 +2083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.0533667,7.592134517,0.999,1 +2085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.49168955,7.389913987,0.999,1 +2084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.33094508,4.303802009,0.999,1 +2086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.925852544,8.945293708,0.999,1 +2088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.08508475,6.601529163,0.999,1 +2087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.18883889,3.704136622,0.999,1 +2089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.27964436,8.895539934,0.999,1 +2090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.01259307,6.225125492,0.999,1 +2091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.41480405,3.905061762,0.999,1 +2092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.16356246,7.181985875,0.999,1 +2093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.49417727,7.354285098,0.999,1 +2094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.38996304,7.151200119,0.999,1 +2095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.64227265,6.584871753,0.999,1 +2097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.27131319,9.541543303,0.999,1 +2098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.04711405,4.778489592,0.999,1 +2096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.14260447,8.313213068,0.999,1 +2099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.47159528,5.748827952,0.999,1 +2100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.10987412,12.38548786,0.999,1 +2101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.50578699,6.030156047,0.999,1 +2102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.3191652,7.317466787,0.999,1 +2103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.980627921,6.486739358,0.999,1 +2104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.12952169,4.820072069,0.999,1 +2105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.43616197,6.314163914,0.999,1 +2107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.20774579,5.694512462,0.999,1 +2106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.72229107,4.679794903,0.999,1 +2109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.47456922,10.10609611,0.999,1 +2108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.2831473,6.835884966,0.999,1 +2110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.21224207,5.607492336,0.999,1 +2111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.7597746,7.684270282,0.999,1 +2112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.23861601,6.917948161,0.999,1 +2113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.38072216,7.507266743,0.999,1 +2114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.77533798,5.813734679,0.999,1 +2115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.29732232,7.499443563,0.999,1 +2117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.22333235,7.279647225,0.999,1 +2116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.21423848,7.31992367,0.999,1 +2118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.968028525,6.642950788,0.999,1 +2120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.57611688,11.02806285,0.999,1 +2119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.991515651,7.490501758,0.999,1 +2121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.51169508,5.715640442,0.999,1 +2122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.22155396,10.11231295,0.999,1 +2124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.58254366,7.698635794,0.999,1 +2125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.59768348,5.06282275,0.999,1 +2123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.18857148,6.476957352,0.999,1 +2126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.04786401,7.5436444,0.999,1 +2127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.80745274,7.159214666,0.999,1 +2129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.13849647,6.836567531,0.999,1 +2130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.56317537,6.820070976,0.999,1 +2128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.65463867,8.578863688,0.999,1 +2131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.15074889,5.678315075,0.999,1 +2132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.83824115,5.937281213,0.999,1 +2133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.33249617,5.88686257,0.999,1 +2134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.34695467,6.660772183,0.999,1 +2135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.45308097,4.219171572,0.999,1 +2136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.55070637,7.963147831,0.999,1 +2137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.24524502,7.545133949,0.999,1 +2138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.6229374,6.926262027,0.999,1 +2139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.22394086,5.910039528,0.999,1 +2140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.07414785,7.979114598,0.999,1 +2142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.53484271,4.585626506,0.999,1 +2143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.10654078,4.505183041,0.999,1 +2144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.12210615,7.496176285,0.999,1 +2145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.31021808,7.844449382,0.999,1 +2141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.00701713,5.820962196,0.999,1 +2146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.59539069,5.396630816,0.999,1 +2148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.07992786,6.379334662,0.999,1 +2147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.13073715,4.844793279,0.999,1 +2149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.35567817,6.344810618,0.999,1 +2150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.69970712,10.75760222,0.999,1 +2151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.29531923,7.631980523,0.999,1 +2152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.62848141,4.805192515,0.999,1 +2154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.81059704,7.785846789,0.999,1 +2153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.41018128,8.576245262,0.999,1 +2156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.72764695,4.610315117,0.999,1 +2155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.68140479,6.322496985,0.999,1 +2157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.05275497,6.421983269,0.999,1 +2158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.30714237,7.840055452,0.999,1 +2161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.32960232,6.896610037,0.999,1 +2160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.36740481,8.773547399,0.999,1 +2159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.51836566,7.775698949,0.999,1 +2162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.77599017,5.468546351,0.999,1 +2164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.15178014,8.428853428,0.999,1 +2163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.45905975,9.741735272,0.999,1 +2165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.49262363,7.215068525,0.999,1 +2166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.20805979,7.124201635,0.999,1 +2168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.57666415,10.01885726,0.999,1 +2169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.4989188,6.103919975,0.999,1 +2167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.34303439,8.009449476,0.999,1 +2171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.61953265,9.494814037,0.999,1 +2172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.59335507,4.555837496,0.999,1 +2170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.04852778,6.45713817,0.999,1 +2173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.58577994,8.24804867,0.999,1 +2174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.19941092,3.649988387,0.999,1 +2175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.947266855,7.808815233,0.999,1 +2177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.02925032,8.226554973,0.999,1 +2176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.46727922,3.987055978,0.999,1 +2178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.45783635,6.398864592,0.999,1 +2179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.10553787,6.725089206,0.999,1 +2180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.44968787,3.320504598,0.999,1 +2182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.28760399,4.292335757,0.999,1 +2181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.35020481,7.299511017,0.999,1 +2183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.390073,8.692614054,0.999,1 +2185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.41689469,6.08482029,0.999,1 +2184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.67970351,5.788625205,0.999,1 +2186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.19634593,6.470070592,0.999,1 +2187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.77350481,5.482830259,0.999,1 +2189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.5711572,5.805692169,0.999,1 +2190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.12259154,5.14012083,0.999,1 +2188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.15970219,5.581830324,0.999,1 +2191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.5254492,6.983939511,0.999,1 +2192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.58878792,6.231198241,0.999,1 +2193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.00913531,7.169871844,0.999,1 +2195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.72411675,6.325482879,0.999,1 +2194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.70302502,5.972360238,0.999,1 +2197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.984016089,8.852878073,0.999,1 +2196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.32814679,5.343239809,0.999,1 +2198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.84238052,7.443775551,0.999,1 +2200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.851042708,3.889021676,0.999,1 +2199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.53123217,7.559867064,0.999,1 +2201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.04773649,7.655848915,0.999,1 +2202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.44831868,6.248481379,0.999,1 +2203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.1635273,5.873324213,0.999,1 +2204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.18412392,6.178008737,0.999,1 +2205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.37880667,8.249366525,0.999,1 +2207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.17673233,5.981228976,0.999,1 +2209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.37624822,5.365031006,0.999,1 +2208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.3431903,7.568339911,0.999,1 +2211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.14385102,5.933026584,0.999,1 +2206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.10836887,6.325368317,0.999,1 +2210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.4239668,5.970624254,0.999,1 +2212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.10936558,6.009140207,0.999,1 +2213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.53967455,6.635116816,0.999,1 +2214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.70777195,9.275896363,0.999,1 +2215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.3226314,5.41231026,0.999,1 +2216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.48016859,4.627192378,0.999,1 +2217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.4142399,3.818016529,0.999,1 +2219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.00591828,5.993186036,0.999,1 +2218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.14299354,5.318751064,0.999,1 +2220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.73359151,6.831715024,0.999,1 +2221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.48180857,6.585887745,0.999,1 +2223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.3458669,6.517121972,0.999,1 +2222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.14038769,6.935458494,0.999,1 +2224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.30382448,6.391735672,0.999,1 +2225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.59023423,3.697101549,0.999,1 +2226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.32008972,8.118984702,0.999,1 +2228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.51007535,4.957788776,0.999,1 +2229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.71858328,5.226795411,0.999,1 +2227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.44993439,9.501060224,0.999,1 +2230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.69931808,5.244228363,0.999,1 +2231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.42572758,5.164627682,0.999,1 +2232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.69555122,4.732157438,0.999,1 +2233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.50604676,7.400696974,0.999,1 +2234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.5400237,5.433414841,0.999,1 +2235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.77476787,6.384266009,0.999,1 +2236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.3807347,5.379473372,0.999,1 +2237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.73587522,5.45953137,0.999,1 +2238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.37114835,6.270641482,0.999,1 +2239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.14934099,9.735429935,0.999,1 +2240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.21429649,6.193594273,0.999,1 +2241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.11156516,5.861116292,0.999,1 +2242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.03777965,6.259456376,0.999,1 +2243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.11574046,7.139294351,0.999,1 +2244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.11236504,7.293495549,0.999,1 +2245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.68257355,6.314976635,0.999,1 +2246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.31180254,5.066993302,0.999,1 +2247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.84312137,6.486814971,0.999,1 +2248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.933893085,6.616162149,0.999,1 +2249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.59650446,3.85639741,0.999,1 +2251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.05261819,7.196793029,0.999,1 +2250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.098704,8.595315779,0.999,1 +2252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.61153698,8.47355895,0.999,1 +2253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.53658599,8.645895075,0.999,1 +2254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.7239221,9.358184644,0.999,1 +2255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.30565656,5.874276711,0.999,1 +2256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.6809451,6.570125276,0.999,1 +2258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.50793103,6.763888703,0.999,1 +2259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.54097882,7.717990074,0.999,1 +2257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.17419748,8.12081479,0.999,1 +2260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.73137597,9.247070653,0.999,1 +2261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.03555946,8.901062868,0.999,1 +2262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.7732426,7.164393983,0.999,1 +2263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.75579402,5.025470494,0.999,1 +2264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.41338952,5.750192355,0.999,1 +2266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.34564848,7.008860945,0.999,1 +2265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.12050262,7.736210677,0.999,1 +2267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.58407719,9.150202494,0.999,1 +2268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.32479193,8.912439113,0.999,1 +2269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.15969958,4.710953951,0.999,1 +2270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.5396292,7.050647654,0.999,1 +2271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.08540452,7.689712486,0.999,1 +2273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.998485777,5.015451712,0.999,1 +2274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.63973628,8.650634322,0.999,1 +2275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.11498987,5.164312248,0.999,1 +2272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.16025725,8.982699479,0.999,1 +2276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.87381705,6.755700397,0.999,1 +2277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.5080277,8.55318171,0.999,1 +2278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.48237724,5.640938403,0.999,1 +2279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.27069317,6.876931445,0.999,1 +2280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.15577176,9.078052116,0.999,1 +2281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.42551326,4.77591528,0.999,1 +2282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.42726577,7.923819357,0.999,1 +2283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.64614949,8.66799657,0.999,1 +2284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.77964423,6.446297512,0.999,1 +2285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.45403868,7.739163472,0.999,1 +2286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.44331758,6.241655233,0.999,1 +2287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.23116969,5.593278414,0.999,1 +2288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.38108747,6.500573541,0.999,1 +2289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.05370349,6.812075035,0.999,1 +2290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.29607675,8.058634704,0.999,1 +2291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.78521933,6.083295469,0.999,1 +2292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.50714436,6.528949659,0.999,1 +2293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.20304536,9.121429572,0.999,1 +2297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.6009457,3.956818723,0.999,1 +2295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.66020369,6.827746953,0.999,1 +2294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.03457319,6.546343287,0.999,1 +2296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.11370752,8.036932059,0.999,1 +2298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.71330577,8.115237286,0.999,1 +2299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.09571092,8.615545727,0.999,1 +2300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.39183919,5.942466752,0.999,1 +2301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.74081692,5.871762797,0.999,1 +2302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.31727332,3.712619201,0.999,1 +2303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.18324182,7.150069156,0.999,1 +2305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.00229278,7.252612024,0.999,1 +2304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.40355794,6.014286775,0.999,1 +2306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.12752605,4.693991476,0.999,1 +2307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.16258687,6.352457459,0.999,1 +2308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.15365979,10.0831445,0.999,1 +2309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.15328099,6.659427312,0.999,1 +2311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.32622907,3.689186064,0.999,1 +2310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.57190737,6.108006009,0.999,1 +2312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.43978706,9.281530416,0.999,1 +2314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.66595632,8.112387588,0.999,1 +2315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.4147301,6.136307296,0.999,1 +2313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.73309053,8.114614729,0.999,1 +2316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.33041994,6.737187333,0.999,1 +2317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.973175708,8.062448884,0.999,1 +2319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.08124097,5.962715145,0.999,1 +2318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.928686015,5.452563543,0.999,1 +2320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.25708018,7.68146957,0.999,1 +2321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.36659445,5.846301918,0.999,1 +2322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.77652106,5.716155156,0.999,1 +2324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.04739189,6.305715073,0.999,1 +2323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.37767536,6.532437526,0.999,1 +2325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.51120355,7.310200665,0.999,1 +2327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.34343517,6.634728852,0.999,1 +2326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.40698132,8.103185759,0.999,1 +2328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.65994047,4.479908291,0.999,1 +2329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.04180983,6.262766619,0.999,1 +2331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.41022229,4.607776153,0.999,1 +2330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.75116817,7.838892028,0.999,1 +2333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.77486731,6.536802484,0.999,1 +2332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.03975466,5.83285878,0.999,1 +2334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.23632769,7.120114793,0.999,1 +2336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.72330112,10.85934917,0.999,1 +2335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.45761995,8.134883721,0.999,1 +2337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.80846483,8.124042212,0.999,1 +2338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.992238733,5.786710718,0.999,1 +2339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.21658109,5.623257009,0.999,1 +2340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.26265089,6.776079446,0.999,1 +2342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.71528026,9.492003491,0.999,1 +2343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.46105701,5.799930971,0.999,1 +2344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.64661945,8.575768642,0.999,1 +2345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.01761777,7.147630481,0.999,1 +2346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.31331607,7.742753159,0.999,1 +2341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.45179722,4.400618772,0.999,1 +2347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.29599074,6.617068086,0.999,1 +2348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.26919175,5.727454284,0.999,1 +2349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.34237254,9.898342744,0.999,1 +2350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.03740008,5.570608832,0.999,1 +2351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.0886864,6.050935874,0.999,1 +2352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.68810683,6.171360976,0.999,1 +2354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.34200783,5.085440559,0.999,1 +2355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.7928988,7.580643343,0.999,1 +2356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.09880383,7.201646904,0.999,1 +2353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.05736293,5.681377886,0.999,1 +2358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.01732196,9.578053305,0.999,1 +2357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.39416073,7.844537627,0.999,1 +2360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.60966636,9.380428765,0.999,1 +2359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.30083117,7.249551021,0.999,1 +2363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.43853798,11.0539356,0.999,1 +2362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.51677788,6.355308196,0.999,1 +2361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.74408649,6.677513801,0.999,1 +2364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.15140245,9.096247994,0.999,1 +2366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.55396553,6.768589059,0.999,1 +2368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.65113866,6.498317165,0.999,1 +2365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.59083429,6.930046733,0.999,1 +2367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.41212578,7.313662803,0.999,1 +2369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.63141503,6.984763375,0.999,1 +2370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.20589809,6.326286685,0.999,1 +2371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.2296679,8.555348555,0.999,1 +2372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.72029246,5.51540846,0.999,1 +2373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.979965176,6.591207282,0.999,1 +2374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.4543954,7.338348126,0.999,1 +2375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.71535043,6.884533727,0.999,1 +2376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.944558593,6.542600418,0.999,1 +2377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.4454588,6.197521297,0.999,1 +2378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.55891723,8.273263156,0.999,1 +2379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.51783193,6.840363538,0.999,1 +2380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.99156457,5.328667203,0.999,1 +2382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.60786668,8.378693372,0.999,1 +2383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.59640359,6.860275775,0.999,1 +2381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.31024749,5.464784857,0.999,1 +2384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.2653182,7.082038504,0.999,1 +2385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.46779576,10.0750228,0.999,1 +2386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.09797971,5.696647276,0.999,1 +2388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.37625705,7.896762772,0.999,1 +2391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.68915804,7.036203104,0.999,1 +2389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.61578557,5.859447727,0.999,1 +2390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.43341105,4.805359255,0.999,1 +2387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.29274876,7.057634584,0.999,1 +2392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.38899908,10.00964887,0.999,1 +2393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.00689465,5.573764724,0.999,1 +2394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.66599033,8.852885592,0.999,1 +2395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.23401353,9.36882171,0.999,1 +2396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.74438169,3.478596823,0.999,1 +2397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.18545684,5.950644173,0.999,1 +2398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.74254948,7.737384066,0.999,1 +2399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.71135572,5.228651028,0.999,1 +2400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.65885077,6.325256634,0.999,1 +2401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.57778872,7.313773414,0.999,1 +2402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.54312042,3.951850239,0.999,1 +2403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.4990928,4.154019202,0.999,1 +2404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.67080818,7.375565454,0.999,1 +2405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.65235136,6.987162384,0.999,1 +2406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.37993669,5.874105478,0.999,1 +2408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.72723797,5.68588151,0.999,1 +2410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.2582015,9.146588178,0.999,1 +2409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.54490442,4.383220742,0.999,1 +2407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.17400548,9.743798544,0.999,1 +2411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.63243767,8.709236989,0.999,1 +2412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.5052089,8.548447055,0.999,1 +2413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.10060571,6.453834681,0.999,1 +2414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.00538046,7.483185449,0.999,1 +2416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.13777417,8.177573288,0.999,1 +2415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.00943688,6.96531095,0.999,1 +2417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.67993015,7.163825155,0.999,1 +2418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.927998505,8.863426823,0.999,1 +2419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.79116264,5.310305854,0.999,1 +2422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.12056268,3.859493858,0.999,1 +2421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.60608747,9.466741934,0.999,1 +2420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.51376475,6.360246562,0.999,1 +2424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.75978055,9.56133676,0.999,1 +2423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.47794556,7.313654472,0.999,1 +2425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.61193067,6.017468689,0.999,1 +2426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.58755154,8.157754951,0.999,1 +2427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.16189493,7.640556528,0.999,1 +2428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.5293022,4.712446209,0.999,1 +2429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.71744626,4.613113208,0.999,1 +2430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.16063146,8.453604962,0.999,1 +2432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.5610954,5.806046539,0.999,1 +2431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.61211114,7.148024582,0.999,1 +2433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.00080007,5.877413624,0.999,1 +2435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.76240831,6.099975761,0.999,1 +2437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.38787939,3.913028018,0.999,1 +2438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.43043616,5.970339073,0.999,1 +2434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.53421518,3.922245603,0.999,1 +2439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.0690912,7.137914445,0.999,1 +2436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.50517309,8.424731347,0.999,1 +2440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.16028034,3.772912059,0.999,1 +2442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.1714921,8.514208455,0.999,1 +2441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.05115456,8.437652596,0.999,1 +2443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.12043546,5.564934641,0.999,1 +2444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.11492721,7.833033307,0.999,1 +2445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.21682017,9.512266996,0.999,1 +2447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.1648216,5.198666781,0.999,1 +2446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.49958436,7.04369512,0.999,1 +2448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.12487049,5.375051064,0.999,1 +2449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.01896357,7.623099367,0.999,1 +2450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.69288705,9.755437501,0.999,1 +2451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.70464933,7.530551753,0.999,1 +2452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.23783904,7.104462174,0.999,1 +2453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.23081483,6.835979159,0.999,1 +2455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.50170965,4.995196273,0.999,1 +2456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.05137653,8.566063768,0.999,1 +2454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.66994087,7.117670048,0.999,1 +2457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.7409922,9.552611311,0.999,1 +2458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.13972185,7.446061482,0.999,1 +2459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.41286877,7.104781578,0.999,1 +2460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.4027799,8.895496772,0.999,1 +2461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.42224796,5.218728229,0.999,1 +2462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.28345042,7.283358003,0.999,1 +2463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.73593563,7.163806107,0.999,1 +2464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.14253135,7.587091259,0.999,1 +2465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.2262742,7.24445079,0.999,1 +2466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.40159151,5.961036893,0.999,1 +2467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.46594632,4.423819034,0.999,1 +2468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.2453439,9.038685675,0.999,1 +2471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.50626533,5.398257654,0.999,1 +2472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.12525843,6.16796427,0.999,1 +2469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.0254398,7.028266486,0.999,1 +2473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.78722232,6.678115724,0.999,1 +2474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.969064132,6.599552171,0.999,1 +2476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.6475338,9.204767758,0.999,1 +2475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.06961613,5.171265284,0.999,1 +2470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.78243903,8.799178722,0.999,1 +2479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.64860355,5.177998473,0.999,1 +2480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.2227466,5.960254652,0.999,1 +2478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.15945198,4.215753757,0.999,1 +2477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.05972267,10.84398257,0.999,1 +2481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.35139078,7.597186455,0.999,1 +2482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.33639353,5.762533954,0.999,1 +2485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.00698693,6.24781817,0.999,1 +2486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.06896683,5.033485778,0.999,1 +2484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.05076047,7.119746113,0.999,1 +2487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.39989191,4.554813802,0.999,1 +2489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.49261594,5.046157767,0.999,1 +2488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.974042675,7.268820331,0.999,1 +2490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.34351097,4.8119061,0.999,1 +2483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.38882476,6.676919028,0.999,1 +2493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.33575031,6.946685868,0.999,1 +2495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.41571636,7.688685686,0.999,1 +2492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.18832405,7.032775118,0.999,1 +2494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.925416821,9.896294604,0.999,1 +2491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.66402504,5.432095791,0.999,1 +2497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.38705243,6.041264731,0.999,1 +2496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.6682327,5.067505977,0.999,1 +2498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.75993833,4.842382201,0.999,1 +2502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.53428721,8.290547781,0.999,1 +2501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.31654793,10.89831539,0.999,1 +2503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.70778553,6.772686531,0.999,1 +2499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.48121234,3.550065639,0.999,1 +2504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.71568756,6.841856547,0.999,1 +2500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.75401284,4.944831121,0.999,1 +2505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.14213623,7.870407596,0.999,1 +2506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.68369563,5.539906667,0.999,1 +2509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.32118175,6.168907742,0.999,1 +2507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.77026161,5.598476692,0.999,1 +2508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.77213,5.198603441,0.999,1 +2510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.72377757,8.133784134,0.999,1 +2511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.22374503,6.828181769,0.999,1 +2512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.3874443,6.089902199,0.999,1 +2513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.90054205,12.04917985,0.999,1 +2514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.57230741,8.293992297,0.999,1 +2515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.25990351,7.770312521,0.999,1 +2517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.00611325,4.492496041,0.999,1 +2516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.07965655,9.99244856,0.999,1 +2519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.65435751,5.815835286,0.999,1 +2520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.01838321,8.28164109,0.999,1 +2521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.17212894,6.180719297,0.999,1 +2518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.74106887,4.191750489,0.999,1 +2522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.36765992,6.662649915,0.999,1 +2524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.65563517,5.269309319,0.999,1 +2525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.38843291,4.990615412,0.999,1 +2523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.76010333,4.699975511,0.999,1 +2527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.987129012,4.338144495,0.999,1 +2526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.74502479,6.434269144,0.999,1 +2528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.67862801,6.327669293,0.999,1 +2529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.55355689,6.646411031,0.999,1 +2530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.14885089,5.739335705,0.999,1 +2531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.68976429,6.355818676,0.999,1 +2533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.58863389,4.725622381,0.999,1 +2532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.64099528,7.24338482,0.999,1 +2535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.63860299,9.25023123,0.999,1 +2534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.31994238,6.43752812,0.999,1 +2536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.27057886,9.387958985,0.999,1 +2538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.549895,5.18377572,0.999,1 +2539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.49147803,6.396365968,0.999,1 +2540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.19438756,5.930543283,0.999,1 +2537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.3907052,7.393477993,0.999,1 +2541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.40148043,6.789151708,0.999,1 +2542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.48929055,9.070124266,0.999,1 +2543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.58047845,7.300258131,0.999,1 +2544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.13876116,6.535172629,0.999,1 +2545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.38671401,6.3298985,0.999,1 +2546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.03282864,6.448076867,0.999,1 +2547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.7531048,6.696218603,0.999,1 +2548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.25506589,5.389779225,0.999,1 +2549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.35491863,7.082396127,0.999,1 +2550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.36757387,8.452398296,0.999,1 +2551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.74896251,6.92671948,0.999,1 +2552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.35270108,6.16308878,0.999,1 +2554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.58656767,8.333150038,0.999,1 +2555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.29775571,5.360482337,0.999,1 +2553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.46055757,6.9616955,0.999,1 +2558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.67093805,5.033421351,0.999,1 +2556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.52152261,4.75378323,0.999,1 +2557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.66504614,6.882530449,0.999,1 +2559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.33681492,4.673082521,0.999,1 +2560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.57297277,5.777455655,0.999,1 +2562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.57673467,4.099368555,0.999,1 +2563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.26343051,4.291307878,0.999,1 +2561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.5253554,7.646699971,0.999,1 +2566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.09702717,4.60266754,0.999,1 +2567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.05189107,6.863638276,0.999,1 +2568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.23966932,6.38101337,0.999,1 +2565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.4455288,5.804265109,0.999,1 +2564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.966360353,6.006561252,0.999,1 +2569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.31245131,8.692462495,0.999,1 +2571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.65413178,9.138722367,0.999,1 +2570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.8165652,6.540013716,0.999,1 +2572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.82588035,8.900260553,0.999,1 +2574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.97016023,8.387807567,0.999,1 +2575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.80389777,9.131770194,0.999,1 +2573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.52308188,7.269271924,0.999,1 +2576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.34231789,8.246602156,0.999,1 +2577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.88978587,7.001522921,0.999,1 +2578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.26708115,9.051668726,0.999,1 +2579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.86848882,6.662526329,0.999,1 +2580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.26813209,5.822311324,0.999,1 +2581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.72110227,6.520923388,0.999,1 +2583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.68481486,6.825471296,0.999,1 +2582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.76748175,4.465033497,0.999,1 +2585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.0518586,6.202334979,0.999,1 +2584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.73707223,8.577690685,0.999,1 +2587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.6445963,7.317514931,0.999,1 +2586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.67061778,8.15281687,0.999,1 +2588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.09896017,6.230838472,0.999,1 +2590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.15231615,2.384827781,0.999,1 +2589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.62042067,5.668413305,0.999,1 +2593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.49175083,7.645952018,0.999,1 +2594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.69136737,7.621156849,0.999,1 +2595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.26330086,7.850000739,0.999,1 +2592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.0839041,7.389443276,0.999,1 +2596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.2082989,5.622233594,0.999,1 +2597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.19613966,8.569490045,0.999,1 +2591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.57138057,4.959069374,0.999,1 +2598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.990496235,7.828325391,0.999,1 +2601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.1421616,5.938669746,0.999,1 +2599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.58913929,5.342701039,0.999,1 +2600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.03720104,7.853350394,0.999,1 +2602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.38742234,9.446737424,0.999,1 +2603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.20716518,8.310971138,0.999,1 +2604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.19689658,8.301570347,0.999,1 +2606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.388053,8.042957837,0.999,1 +2605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.06232182,7.450800565,0.999,1 +2607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.22518859,7.032081138,0.999,1 +2608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.21638777,10.31378641,0.999,1 +2610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.21542571,6.076115661,0.999,1 +2609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.75753986,7.775441469,0.999,1 +2612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.36109423,7.049399839,0.999,1 +2611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.36303639,6.372929812,0.999,1 +2613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.38355739,6.03373289,0.999,1 +2614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.14506735,6.301682122,0.999,1 +2615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.3683265,6.927424353,0.999,1 +2616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.28301248,7.137971827,0.999,1 +2617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.65807014,4.851121138,0.999,1 +2618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.57401967,5.169797436,0.999,1 +2619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.20577849,5.345314804,0.999,1 +2621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.59092019,6.825687572,0.999,1 +2620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.79911015,7.22369113,0.999,1 +2624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.32400855,4.366616921,0.999,1 +2623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.11499707,6.213549914,0.999,1 +2625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.12419817,7.12292188,0.999,1 +2622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.6563062,7.843651691,0.999,1 +2627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.28328172,6.7501062,0.999,1 +2626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.28673108,3.428808977,0.999,1 +2628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.64352859,6.668380713,0.999,1 +2629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.35213829,6.423291861,0.999,1 +2630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.17023827,4.401740514,0.999,1 +2631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.57014258,8.238674966,0.999,1 +2632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.50232297,6.776588833,0.999,1 +2633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.35530578,7.100001559,0.999,1 +2634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.22663041,5.739647285,0.999,1 +2635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.21268423,6.813666504,0.999,1 +2636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.34429226,3.383482615,0.999,1 +2637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.25950251,6.773419179,0.999,1 +2638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.2675985,6.227221601,0.999,1 +2640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.61677394,9.327341289,0.999,1 +2643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.11921575,6.12533831,0.999,1 +2642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.0391628,6.680428053,0.999,1 +2641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.23457446,6.891944107,0.999,1 +2639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.2265436,5.576411354,0.999,1 +2646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.988330691,6.998999551,0.999,1 +2645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.43169165,6.343128725,0.999,1 +2649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.14393959,7.108704785,0.999,1 +2648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.22993216,8.059647919,0.999,1 +2647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.57560694,9.188756119,0.999,1 +2644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.77087537,9.640975275,0.999,1 +2651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.80221395,6.698438656,0.999,1 +2650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.09186338,5.964196101,0.999,1 +2653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.81062564,6.330332187,0.999,1 +2652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.42147775,5.585616503,0.999,1 +2654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.62199084,5.159387365,0.999,1 +2655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.57812092,7.165799603,0.999,1 +2656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.65223988,5.465662945,0.999,1 +2657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.850312641,7.250261712,0.999,1 +2658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.77548107,6.788186977,0.999,1 +2660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.00446015,6.500347244,0.999,1 +2661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.66704479,7.245499831,0.999,1 +2662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.2044194,4.971935173,0.999,1 +2663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.70843407,9.084845995,0.999,1 +2659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.01637993,7.726046841,0.999,1 +2666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.50675725,5.048041904,0.999,1 +2664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.59895801,7.383601018,0.999,1 +2665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.898522981,6.483663637,0.999,1 +2667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.14676762,5.515302353,0.999,1 +2668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.69909833,6.525944961,0.999,1 +2669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.66248042,6.06720152,0.999,1 +2673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.24965806,7.324358906,0.999,1 +2671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.39817566,5.911398606,0.999,1 +2672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.84361628,8.241288945,0.999,1 +2674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.63078454,6.149241369,0.999,1 +2675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.49591805,7.300537278,0.999,1 +2676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.65281244,5.486063094,0.999,1 +2677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.04242471,6.85162826,0.999,1 +2670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.32119697,5.805857128,0.999,1 +2679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.22508505,5.916618114,0.999,1 +2680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.32273696,13.11443502,0.999,1 +2678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.77231436,7.13984875,0.999,1 +2681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.60480521,5.73477202,0.999,1 +2683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.74401833,8.611733972,0.999,1 +2682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.0563921,6.868124838,0.999,1 +2685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.33672925,5.285890714,0.999,1 +2684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.52678609,6.231236156,0.999,1 +2686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.73025575,5.843882718,0.999,1 +2688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.82619065,4.655591777,0.999,1 +2687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.64990128,7.58461657,0.999,1 +2689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.47935435,4.949614691,0.999,1 +2690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.56382232,5.771035847,0.999,1 +2691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.37282897,7.44425345,0.999,1 +2693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.6310606,5.479618516,0.999,1 +2694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.51766378,7.227674238,0.999,1 +2695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.77429558,7.068612806,0.999,1 +2696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.29843853,7.154870382,0.999,1 +2692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.18641767,7.079250633,0.999,1 +2697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.68084457,7.815744592,0.999,1 +2698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.14223953,8.532963623,0.999,1 +2700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.5639843,5.331083461,0.999,1 +2701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.13225999,5.701987915,0.999,1 +2702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.0141749,6.969884713,0.999,1 +2703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.69640268,8.603057856,0.999,1 +2699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.831846,8.643738604,0.999,1 +2704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.64439374,6.728890666,0.999,1 +2705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.01825155,7.017370575,0.999,1 +2706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.65690924,6.022124097,0.999,1 +2707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.68533046,6.104338125,0.999,1 +2709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.13260088,7.441545784,0.999,1 +2711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.69308829,6.248235505,0.999,1 +2710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.3413838,6.60173026,0.999,1 +2713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.3673931,3.220802219,0.999,1 +2708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.5405732,9.247107296,0.999,1 +2715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.71637732,4.379094866,0.999,1 +2714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.68982108,6.182822138,0.999,1 +2712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.925396197,5.112841806,0.999,1 +2716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.51779897,6.490274523,0.999,1 +2718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.16782296,9.049416016,0.999,1 +2717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.41419735,5.154929438,0.999,1 +2720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.21030384,5.132560513,0.999,1 +2719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.38039393,8.639538929,0.999,1 +2722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.26757193,3.561993617,0.999,1 +2723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.931622146,5.987441075,0.999,1 +2721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.60467436,6.659292915,0.999,1 +2725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.04611879,8.393449572,0.999,1 +2726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.48495081,7.781084179,0.999,1 +2724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.20482641,7.205695919,0.999,1 +2728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.49071729,5.677039718,0.999,1 +2727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.44935791,6.848313087,0.999,1 +2729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.11467267,6.990559334,0.999,1 +2731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.34481635,7.151737251,0.999,1 +2732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.79393912,6.799626971,0.999,1 +2734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.63095195,5.933069471,0.999,1 +2730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.0677895,6.242895931,0.999,1 +2736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.24154585,4.894231201,0.999,1 +2733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.44293817,5.996619992,0.999,1 +2737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.53471356,5.841424032,0.999,1 +2735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.65628844,6.381036688,0.999,1 +2739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.47370957,8.17601135,0.999,1 +2738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.19740594,6.939018627,0.999,1 +2741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.13356433,6.483596593,0.999,1 +2740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.511911,5.691280126,0.999,1 +2743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.25299332,7.64075488,0.999,1 +2744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.36355587,5.61817957,0.999,1 +2742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.19931623,7.974472746,0.999,1 +2745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.491529,7.468344141,0.999,1 +2747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.32911195,6.629711663,0.999,1 +2746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.55506536,7.360912949,0.999,1 +2749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.70100464,4.799037797,0.999,1 +2752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.46012385,6.805930068,0.999,1 +2750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.54765735,8.446711664,0.999,1 +2748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.06926248,7.299709495,0.999,1 +2751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.63707233,6.775234627,0.999,1 +2753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.68141473,7.260892443,0.999,1 +2755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.37185669,4.927444556,0.999,1 +2754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.4511735,7.808347094,0.999,1 +2756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.67356674,8.500671788,0.999,1 +2757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.33147189,8.163000048,0.999,1 +2758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.20251181,7.652524713,0.999,1 +2759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.0049307,4.872097662,0.999,1 +2760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.77070047,9.038905735,0.999,1 +2761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.24543981,9.171327426,0.999,1 +2762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.62706293,6.6398962,0.999,1 +2763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.57900131,6.39418866,0.999,1 +2764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.39055156,7.891175547,0.999,1 +2766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.56827771,5.812011248,0.999,1 +2768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.4228233,6.634299795,0.999,1 +2770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.0128339,4.854364344,0.999,1 +2765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.53790044,8.669424041,0.999,1 +2769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.26400815,4.81625728,0.999,1 +2771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.23452246,8.546811957,0.999,1 +2772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.37900554,6.708660269,0.999,1 +2767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.25028884,6.661822473,0.999,1 +2773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.35584881,4.356489546,0.999,1 +2774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.38350188,3.025852896,0.999,1 +2775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.48076667,7.909015193,0.999,1 +2776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.46432496,8.877297383,0.999,1 +2777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.60094884,6.947865139,0.999,1 +2778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.77005857,8.390260397,0.999,1 +2779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.41384101,9.456728322,0.999,1 +2780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.81073479,6.587550966,0.999,1 +2781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.69883902,7.251892281,0.999,1 +2782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.31894713,8.812644862,0.999,1 +2783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.09491017,6.004622157,0.999,1 +2785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.33909233,6.270628749,0.999,1 +2786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.26804698,8.088903165,0.999,1 +2787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.2043699,8.198950986,0.999,1 +2784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.27090337,7.97744701,0.999,1 +2789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.03788489,6.562636121,0.999,1 +2788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.22726205,10.38618072,0.999,1 +2791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.72088081,6.590289137,0.999,1 +2790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.84470721,6.952184852,0.999,1 +2793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.802435,6.871334175,0.999,1 +2792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.1346104,6.522695587,0.999,1 +2795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.17471296,5.186860915,0.999,1 +2794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.63437508,8.193152082,0.999,1 +2797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.08092523,7.133614898,0.999,1 +2798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.43078375,8.104583505,0.999,1 +2800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.48448361,7.934871669,0.999,1 +2799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.27154794,6.376295051,0.999,1 +2796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.959770047,4.23552463,0.999,1 +2801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.74608491,3.996092174,0.999,1 +2802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.18669618,7.217586034,0.999,1 +2803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.81069116,7.227634041,0.999,1 +2805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.30115849,4.373725724,0.999,1 +2807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.15055649,6.756373373,0.999,1 +2806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.01817643,5.283957957,0.999,1 +2808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.63728601,6.865657039,0.999,1 +2809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.66213379,6.350033617,0.999,1 +2810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.08874976,8.703510937,0.999,1 +2804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.48352499,4.878348998,0.999,1 +2811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.65460614,7.001413767,0.999,1 +2812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.03150646,6.358395471,0.999,1 +2814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.46978241,5.197267805,0.999,1 +2815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.45340558,8.023106173,0.999,1 +2813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.2053228,7.279957084,0.999,1 +2816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.43997153,8.026206315,0.999,1 +2817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.47461646,8.167701621,0.999,1 +2818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.30771636,8.387338861,0.999,1 +2819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.27744731,8.101928844,0.999,1 +2820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.18952413,6.877377826,0.999,1 +2821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.17888429,3.409868118,0.999,1 +2823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.09809702,7.776114021,0.999,1 +2822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.3058961,8.220906399,0.999,1 +2825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.19697415,6.546145801,0.999,1 +2824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.72957926,5.827146093,0.999,1 +2828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.970299814,6.288922819,0.999,1 +2829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.56840743,5.860023263,0.999,1 +2826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.6148244,5.439469611,0.999,1 +2831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.44652937,7.056683894,0.999,1 +2830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.76833815,7.811393923,0.999,1 +2827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.0062143,7.133549841,0.999,1 +2833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.80776737,9.529229825,0.999,1 +2832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.15422606,6.801239882,0.999,1 +2834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.59431573,7.668882851,0.999,1 +2835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.32886158,7.376046614,0.999,1 +2836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.75992152,7.983134047,0.999,1 +2837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.63271051,6.721710805,0.999,1 +2838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.72037397,7.39052124,0.999,1 +2839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.13214812,9.494236018,0.999,1 +2840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.50370138,8.13927505,0.999,1 +2841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.38198869,4.769790145,0.999,1 +2842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.22276867,7.080146237,0.999,1 +2843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.67305472,9.955688614,0.999,1 +2846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.950522644,5.814858959,0.999,1 +2845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.63607963,10.10131963,0.999,1 +2847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.61207036,5.860225957,0.999,1 +2844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.76257262,6.26879166,0.999,1 +2848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.63774721,8.678481535,0.999,1 +2849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.59448082,9.272629006,0.999,1 +2850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.75768999,6.947910588,0.999,1 +2851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.05886023,6.212445409,0.999,1 +2853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.5730849,5.353936936,0.999,1 +2854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.67091972,8.145360975,0.999,1 +2852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.47412968,4.202365868,0.999,1 +2857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,-10.1537097,3.279864505,0.999,1 +2856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.22951207,10.07219693,0.999,1 +2859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.1448745,5.376281138,0.999,1 +2855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.68190006,6.975667954,0.999,1 +2861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.23110751,7.910800606,0.999,1 +2858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.40262147,8.314515424,0.999,1 +2860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.26123898,9.229260638,0.999,1 +2862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.57421137,8.148377537,0.999,1 +2863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.26485749,7.525900616,0.999,1 +2866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.75057725,7.084692343,0.999,1 +2865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.74447153,8.385136828,0.999,1 +2864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.6122269,7.304617228,0.999,1 +2867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.22994665,5.773079885,0.999,1 +2868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.77149485,6.938469705,0.999,1 +2869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.02298574,7.102008971,0.999,1 +2870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.03437569,6.279603407,0.999,1 +2873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.42148815,5.143850771,0.999,1 +2874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.37163219,6.756563045,0.999,1 +2875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.06369424,7.858491687,0.999,1 +2876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.59335303,9.730452503,0.999,1 +2871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.04995607,6.748904053,0.999,1 +2872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.55995597,8.243975866,0.999,1 +2878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.41896678,10.4901338,0.999,1 +2877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.22127002,7.44896254,0.999,1 +2880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.59313163,5.992081708,0.999,1 +2881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.36439733,7.744167703,0.999,1 +2882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.21315942,4.03955493,0.999,1 +2879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.6119089,4.952085177,0.999,1 +2883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.65614062,4.355526238,0.999,1 +2886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.32093038,4.910057526,0.999,1 +2885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.32591844,3.598781051,0.999,1 +2884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.06806774,10.45489723,0.999,1 +2887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.52642276,3.37159367,0.999,1 +2888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.72598393,6.382575634,0.999,1 +2889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.54042841,7.748035414,0.999,1 +2890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.962530761,7.797591935,0.999,1 +2891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.28225959,5.12207928,0.999,1 +2892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.37435373,7.249169324,0.999,1 +2893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.73041824,4.231995441,0.999,1 +2894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.933723819,7.568792282,0.999,1 +2895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.74932943,7.597928866,0.999,1 +2899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.01412944,6.496289421,0.999,1 +2897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.75905122,5.637741863,0.999,1 +2896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.27747939,7.117558825,0.999,1 +2900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.35697077,5.334936424,0.999,1 +2898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.32992567,6.504156147,0.999,1 +2901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.33782177,7.805087622,0.999,1 +2903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.24390593,10.13015506,0.999,1 +2905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.22461731,8.887460269,0.999,1 +2902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.38849215,7.888848345,0.999,1 +2906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.86689518,8.974098815,0.999,1 +2908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.12230612,6.201590778,0.999,1 +2904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.06603947,7.195224252,0.999,1 +2907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.40022317,7.013643483,0.999,1 +2909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.02145591,5.03827549,0.999,1 +2910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.18952917,6.288784415,0.999,1 +2915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.27245913,5.160767684,0.999,1 +2914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.76619602,5.515120038,0.999,1 +2912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.27316315,8.35704185,0.999,1 +2911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.57907193,5.977695193,0.999,1 +2917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.26835571,7.954015825,0.999,1 +2916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.31131351,7.690859981,0.999,1 +2913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.35352844,7.6826808,0.999,1 +2918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.29674012,10.63120989,0.999,1 +2920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.29788196,7.395055001,0.999,1 +2922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.48708046,8.247976032,0.999,1 +2919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.15330677,8.433443657,0.999,1 +2923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.57807308,7.009714534,0.999,1 +2924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.13518676,6.535621631,0.999,1 +2925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.39298346,6.799346202,0.999,1 +2921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.77779908,7.184453391,0.999,1 +2926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.49199112,7.684664409,0.999,1 +2927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.463442,5.3695207,0.999,1 +2932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.948448242,8.144686128,0.999,1 +2930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.55198403,5.6800451,0.999,1 +2928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.54660884,6.776851045,0.999,1 +2929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.33884569,5.062569995,0.999,1 +2933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.61373852,8.074957141,0.999,1 +2931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.08746641,5.467435249,0.999,1 +2934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.63535754,3.687689169,0.999,1 +2935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.38395878,6.713602914,0.999,1 +2938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.30588033,5.851602172,0.999,1 +2939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.62523964,4.276338597,0.999,1 +2936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.73963813,6.810762101,0.999,1 +2941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.35363127,7.614290981,0.999,1 +2937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.10620943,6.755516241,0.999,1 +2942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.56870839,7.024049726,0.999,1 +2943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.08208884,5.491238361,0.999,1 +2940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.74548086,5.781426017,0.999,1 +2945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.29870803,7.790342124,0.999,1 +2944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.961445749,5.062401255,0.999,1 +2946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.11830648,8.648802131,0.999,1 +2948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.45155407,8.306574076,0.999,1 +2949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.5966386,6.621599948,0.999,1 +2951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.26914475,4.981718004,0.999,1 +2950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.44591575,6.949708543,0.999,1 +2952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.7462556,6.887364303,0.999,1 +2953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.52992385,8.847095645,0.999,1 +2947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.73932684,7.75888891,0.999,1 +2954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.33495629,4.98146251,0.999,1 +2955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.46180184,9.017867041,0.999,1 +2956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.47961163,5.200406352,0.999,1 +2958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.19865037,6.496186668,0.999,1 +2961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.65955363,6.399534815,0.999,1 +2957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.965932009,8.423377799,0.999,1 +2959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.35417527,6.24730253,0.999,1 +2960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.45512287,5.404021446,0.999,1 +2962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.60249586,6.753025906,0.999,1 +2963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.34064047,10.34758216,0.999,1 +2964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.07695078,4.987675985,0.999,1 +2965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.989682512,6.25540231,0.999,1 +2968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.59606834,6.728136595,0.999,1 +2967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.19045495,6.596884348,0.999,1 +2966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.6450369,9.727353473,0.999,1 +2969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.37255048,8.646132702,0.999,1 +2971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.23354913,9.89252129,0.999,1 +2972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.31218808,5.003080456,0.999,1 +2970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.65072818,7.658640485,0.999,1 +2973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.56744087,7.991053946,0.999,1 +2977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.24709016,5.421388708,0.999,1 +2976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.18722126,8.27519674,0.999,1 +2975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.33291561,7.125839852,0.999,1 +2974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.71503352,5.218438946,0.999,1 +2979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.39384459,5.781243911,0.999,1 +2978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,9.915239114,5.75164394,0.999,1 +2980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.1733003,9.740358398,0.999,1 +2981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.13366428,5.922116157,0.999,1 +2982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.56870459,9.276348594,0.999,1 +2984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.3829031,6.571124889,0.999,1 +2983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.30013379,7.170800978,0.999,1 +2985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.42769564,4.079050082,0.999,1 +2987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.31020134,6.15818159,0.999,1 +2986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.24609959,8.140944404,0.999,1 +2988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.26121664,7.689340268,0.999,1 +2989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.78641198,5.718260245,0.999,1 +2990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.37996125,8.056228939,0.999,1 +2993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.39047527,7.661645418,0.999,1 +2991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.34236779,9.007772444,0.999,1 +2994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.50968818,7.305767817,0.999,1 +2992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.48960305,4.422459917,0.999,1 +2995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.04296031,7.50927159,0.999,1 +2997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.76996944,6.617777413,0.999,1 +2996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.48119323,7.800692333,0.999,1 +2998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.1928531,6.211439443,0.999,1 +2999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.58983229,9.640115533,0.999,1 +3000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.1,10,1,10.54264472,7.202194586,0.999,1 +3001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.07808253,4.537953784,0.001,1 +3004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.29978011,8.382469935,0.001,1 +3003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.56150276,1.792474757,0.001,1 +3005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.60011892,4.777211476,0.001,1 +3002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.17443178,4.623401456,0.001,1 +3006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.59586895,4.017033713,0.001,1 +3007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.60045509,4.781625455,0.001,1 +3008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.57340797,5.036851825,0.001,1 +3009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.30801031,4.423094186,0.001,1 +3010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.21536136,3.36587827,0.001,1 +3011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.60219185,3.676169118,0.001,1 +3013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.0803779,5.394132707,0.001,1 +3012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.12637632,6.864696038,0.001,1 +3014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.42366878,3.48039539,0.001,1 +3016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.946719119,4.382121919,0.001,1 +3015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.11784316,3.519667694,0.001,1 +3017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.47587837,5.776850296,0.001,1 +3019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.51881233,6.245019456,0.001,1 +3020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.28187298,4.2549311,0.001,1 +3018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.11772717,4.73423507,0.001,1 +3021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.57855814,3.758437784,0.001,1 +3022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.13402069,3.630271205,0.001,1 +3024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.62945359,4.557776367,0.001,1 +3023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.47002793,5.212946598,0.001,1 +3026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.968942784,4.987069027,0.001,1 +3025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.70347476,3.418128568,0.001,1 +3027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.54517135,1.838839767,0.001,1 +3028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.71892405,5.464977773,0.001,1 +3030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.06954742,3.434846125,0.001,1 +3031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.73215245,3.655857079,0.001,1 +3032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.32575163,4.967240366,0.001,1 +3029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.77449559,4.220513959,0.001,1 +3034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.54012835,3.809115174,0.001,1 +3035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.67933914,4.841210167,0.001,1 +3033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.1731763,4.020745307,0.001,1 +3036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.63608331,3.85757955,0.001,1 +3038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.876727355,5.210995829,0.001,1 +3039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.17952965,3.616540903,0.001,1 +3037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.947776007,6.674571365,0.001,1 +3040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.26619993,2.69123194,0.001,1 +3043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.16639874,6.466197946,0.001,1 +3041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.54839805,6.174418702,0.001,1 +3044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.37199053,6.27560152,0.001,1 +3042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.2088169,6.480893494,0.001,1 +3045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.38321191,3.18644133,0.001,1 +3047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.18057917,4.461098398,0.001,1 +3046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.3325195,4.217440336,0.001,1 +3049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.44326689,4.897391542,0.001,1 +3050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.4489952,5.472789049,0.001,1 +3048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.3890704,8.448937188,0.001,1 +3051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.78713012,5.043698489,0.001,1 +3052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.12237563,3.389573421,0.001,1 +3053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.82924898,5.766178617,0.001,1 +3055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.62107282,8.053605836,0.001,1 +3056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.37344437,2.576535888,0.001,1 +3057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.17933345,5.089746052,0.001,1 +3054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.65056643,4.36138203,0.001,1 +3059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.71896,3.673067062,0.001,1 +3060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.56281897,4.507755318,0.001,1 +3061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.57078416,4.813237701,0.001,1 +3058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.70319039,3.644515064,0.001,1 +3063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.32056922,4.934435755,0.001,1 +3064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.20418296,7.063042255,0.001,1 +3062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.40637155,3.968561626,0.001,1 +3065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.61970269,4.580467103,0.001,1 +3066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.02962057,4.98326303,0.001,1 +3068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.10592558,3.184655301,0.001,1 +3067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.48462387,1.11899906,0.001,1 +3069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.72293583,3.592184886,0.001,1 +3072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.41069758,5.298713067,0.001,1 +3071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.27228393,4.482688961,0.001,1 +3070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.38902154,5.777325191,0.001,1 +3074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.57105525,6.295097957,0.001,1 +3073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.69982546,5.708555808,0.001,1 +3075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.45040082,7.670202536,0.001,1 +3076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.09832154,2.650956749,0.001,1 +3078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.18034655,3.385811256,0.001,1 +3077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.24780921,2.380375728,0.001,1 +3079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.73551752,1.756148122,0.001,1 +3080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.08935225,4.640141661,0.001,1 +3081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.42081731,3.321238049,0.001,1 +3082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.65564336,5.058213541,0.001,1 +3083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.45544942,1.989468505,0.001,1 +3084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.44316003,4.18132846,0.001,1 +3085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.35910433,1.329917316,0.001,1 +3087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.3391933,5.855935136,0.001,1 +3088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.31654547,5.737081101,0.001,1 +3090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.26160826,8.002630057,0.001,1 +3089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.0664643,4.413710349,0.001,1 +3091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.63835881,2.690764398,0.001,1 +3086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.47073666,2.447583968,0.001,1 +3093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.12451237,4.63707525,0.001,1 +3092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.48452085,6.832135273,0.001,1 +3094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.69104153,5.973794019,0.001,1 +3095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.04947051,4.063318541,0.001,1 +3096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.9957909,4.253453693,0.001,1 +3097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.79680731,4.14716515,0.001,1 +3098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.46453214,4.928769614,0.001,1 +3099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.13738075,4.702194893,0.001,1 +3100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.45023947,6.475175283,0.001,1 +3101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.21548364,0.834136962,0.001,1 +3103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.23989163,2.61264982,0.001,1 +3102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.06807165,3.610122777,0.001,1 +3104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.81887881,4.315992697,0.001,1 +3105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.988894924,3.083349415,0.001,1 +3106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.65258739,2.050932125,0.001,1 +3107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.30197949,6.049086702,0.001,1 +3110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.00620315,5.019942131,0.001,1 +3108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.13244575,5.500764335,0.001,1 +3111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.85907107,2.760980304,0.001,1 +3109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.59859373,4.514832727,0.001,1 +3113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.62859734,8.288274473,0.001,1 +3112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.27061355,4.56477616,0.001,1 +3114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.11265315,3.253306403,0.001,1 +3115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.78098415,4.304162777,0.001,1 +3116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.22457793,3.34162092,0.001,1 +3119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.39611138,4.176334403,0.001,1 +3117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.22581642,5.066754914,0.001,1 +3121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,10.67284851,5.795335246,0.001,1 +3120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.00248152,3.466354682,0.001,1 +3118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.39222904,2.576690133,0.001,1 +3122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.17103258,5.572996131,0.001,1 +3124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.61838852,2.672266752,0.001,1 +3126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.16052042,4.836894171,0.001,1 +3123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.14086221,4.411923652,0.001,1 +3128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.69815766,1.80313911,0.001,1 +3125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.43324807,2.428993556,0.001,1 +3129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.61138407,3.117618537,0.001,1 +3130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.49022147,1.976433234,0.001,1 +3127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.3719799,4.816785674,0.001,1 +3131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.47006722,4.493302145,0.001,1 +3134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.20239253,6.581951978,0.001,1 +3133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.2291278,4.64338885,0.001,1 +3135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.42440825,2.780649848,0.001,1 +3132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.66021776,5.956404932,0.001,1 +3137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.3083952,4.962524393,0.001,1 +3136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.33898865,6.00246388,0.001,1 +3138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.1889861,3.90427974,0.001,1 +3139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.47616598,2.751199752,0.001,1 +3140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.34971923,3.289367759,0.001,1 +3143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.37521168,5.28582547,0.001,1 +3144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.75965208,4.422786193,0.001,1 +3145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.20736052,3.444670862,0.001,1 +3142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.31186116,6.955382608,0.001,1 +3141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.43538491,3.935626491,0.001,1 +3146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.23223286,6.410056783,0.001,1 +3147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.31342997,6.014810536,0.001,1 +3148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.53570183,3.64391749,0.001,1 +3150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.2244817,6.721060613,0.001,1 +3151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.03341809,2.939251922,0.001,1 +3152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.36343269,5.079294025,0.001,1 +3149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.60010912,3.66957993,0.001,1 +3154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.47957113,4.410251643,0.001,1 +3155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.33337962,3.655534216,0.001,1 +3153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.42283302,5.219588954,0.001,1 +3156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.06323223,4.271186121,0.001,1 +3157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.74634599,3.829740092,0.001,1 +3159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.20720813,4.76752372,0.001,1 +3158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.23202992,4.992388426,0.001,1 +3160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.25032718,3.513072275,0.001,1 +3161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.63053747,5.013611601,0.001,1 +3162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.942432155,6.163928727,0.001,1 +3164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.07736502,1.607608246,0.001,1 +3163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.25693105,6.51140817,0.001,1 +3165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.58191144,6.957545684,0.001,1 +3167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.967840466,5.598031256,0.001,1 +3166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.42224597,5.493783095,0.001,1 +3168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.08908161,4.313070327,0.001,1 +3169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.1117456,4.119175275,0.001,1 +3170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.49971835,3.18933195,0.001,1 +3171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.21603526,7.713371831,0.001,1 +3172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.10574544,5.217992946,0.001,1 +3173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.56097711,0.111464862,0.001,1 +3174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.18375246,5.26225245,0.001,1 +3175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.22110262,6.550720889,0.001,1 +3176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.07165104,4.988511242,0.001,1 +3177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.67796269,1.923824637,0.001,1 +3178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.944742117,6.325141201,0.001,1 +3179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.29462261,5.754081208,0.001,1 +3182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.18472732,3.97425145,0.001,1 +3181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.08390301,5.234516942,0.001,1 +3184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.05383694,3.52630076,0.001,1 +3183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.9543675,2.420791601,0.001,1 +3180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.76258455,1.003750869,0.001,1 +3185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.3856663,4.670600805,0.001,1 +3186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.71098443,2.133633589,0.001,1 +3187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.62515783,5.848675963,0.001,1 +3189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.6228605,1.734175769,0.001,1 +3191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.47049315,1.510200251,0.001,1 +3190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.986463643,2.881141062,0.001,1 +3188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.5692019,6.294543315,0.001,1 +3193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.00426632,3.836376871,0.001,1 +3194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.22596181,2.307202771,0.001,1 +3192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.44070678,4.512384757,0.001,1 +3195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.73337295,1.889371625,0.001,1 +3198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.24375559,2.279287947,0.001,1 +3196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.68269633,6.692936381,0.001,1 +3197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.41985943,3.696323666,0.001,1 +3199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.12310699,4.123938068,0.001,1 +3200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.28180194,6.194190307,0.001,1 +3201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.16588813,5.812608784,0.001,1 +3202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.25368051,1.955801835,0.001,1 +3203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.5404107,3.455844132,0.001,1 +3204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.39800008,3.341098971,0.001,1 +3205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.40214932,5.091620394,0.001,1 +3206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.42456761,2.412277049,0.001,1 +3208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.82995429,3.820909854,0.001,1 +3207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.12580017,3.543116969,0.001,1 +3209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.889974848,3.141977539,0.001,1 +3211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.0035177,4.197689561,0.001,1 +3212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.73760951,5.449478026,0.001,1 +3213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.987295563,3.604614847,0.001,1 +3210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.16673586,0.252133931,0.001,1 +3214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.71551254,5.790219954,0.001,1 +3216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.49854142,3.405769916,0.001,1 +3215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.941603397,3.718976188,0.001,1 +3217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.19070785,4.444010005,0.001,1 +3218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.03519117,8.06172841,0.001,1 +3220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.79094873,4.653667877,0.001,1 +3219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.971328339,4.229610869,0.001,1 +3221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.74571411,2.145636609,0.001,1 +3222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.37537235,3.731690545,0.001,1 +3223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.38495204,5.725928354,0.001,1 +3224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.51616851,2.699372838,0.001,1 +3225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.06391261,4.201726961,0.001,1 +3226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.57539158,4.360424134,0.001,1 +3228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.77185251,4.328537849,0.001,1 +3227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.17476211,5.119270004,0.001,1 +3231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.16318446,5.44337262,0.001,1 +3230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.28586205,3.197355376,0.001,1 +3233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.75606899,4.084793487,0.001,1 +3232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.03381829,3.174203421,0.001,1 +3229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.20914507,5.183652013,0.001,1 +3234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.78904002,4.550567589,0.001,1 +3235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.27608887,2.158528992,0.001,1 +3236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.27609441,9.329486501,0.001,1 +3237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.20329024,3.870441411,0.001,1 +3238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.75970536,1.359875038,0.001,1 +3240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.38914192,3.444590804,0.001,1 +3239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.478089,2.603548714,0.001,1 +3241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.60212226,5.010052589,0.001,1 +3242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.43956208,2.355278971,0.001,1 +3244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.24441984,6.228045393,0.001,1 +3243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.09887621,4.801460567,0.001,1 +3245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.12466248,3.287647225,0.001,1 +3248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.42179845,5.430224463,0.001,1 +3246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.64755072,5.146426263,0.001,1 +3247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.51186024,7.893341178,0.001,1 +3250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.67157717,6.931947392,0.001,1 +3249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.49200044,4.826528521,0.001,1 +3251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.937119645,5.80298523,0.001,1 +3252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.989423599,3.869100853,0.001,1 +3253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.993119778,4.777263271,0.001,1 +3255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.05639344,4.406763863,0.001,1 +3256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.75292743,1.029483918,0.001,1 +3254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.54408728,3.948821827,0.001,1 +3257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.64388693,5.743699987,0.001,1 +3259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.22506205,1.79554019,0.001,1 +3260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.17641839,4.966149037,0.001,1 +3258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.27292452,5.384551174,0.001,1 +3264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.83714742,3.529192871,0.001,1 +3263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.25192734,4.015251793,0.001,1 +3261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.08775344,6.488193806,0.001,1 +3262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.5617224,2.807096705,0.001,1 +3265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.48567116,3.973174664,0.001,1 +3266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.38188762,3.939097172,0.001,1 +3267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.37053412,1.827115856,0.001,1 +3268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.78910548,7.495955801,0.001,1 +3271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.51824567,3.701687006,0.001,1 +3270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.09858924,2.621426536,0.001,1 +3272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.25413763,2.63821187,0.001,1 +3269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.44514747,3.505144154,0.001,1 +3273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.294987,3.669981758,0.001,1 +3274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.55239634,6.514679595,0.001,1 +3275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.25154485,4.311820347,0.001,1 +3276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.04262316,3.772830215,0.001,1 +3280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.24425402,5.65915009,0.001,1 +3277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.27648079,7.683099301,0.001,1 +3278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.66769425,7.006677055,0.001,1 +3279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.36516385,7.555649893,0.001,1 +3281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.53158073,4.864246685,0.001,1 +3282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.02725772,4.561667612,0.001,1 +3283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.81010968,4.600441535,0.001,1 +3286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.894460628,6.614901646,0.001,1 +3285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.19931637,2.269559398,0.001,1 +3284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.35559959,1.9053738,0.001,1 +3288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.05299611,2.437806155,0.001,1 +3287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.32568998,4.550146539,0.001,1 +3289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.54545694,4.923518017,0.001,1 +3291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.07769234,5.34264183,0.001,1 +3290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.00665912,6.681932268,0.001,1 +3292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.66309428,5.170767352,0.001,1 +3295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.54826505,4.916018044,0.001,1 +3293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.77292046,2.459048734,0.001,1 +3296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.56194914,5.995453689,0.001,1 +3294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.04822368,4.58187388,0.001,1 +3297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.57627758,2.648599148,0.001,1 +3298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.26566319,6.513420454,0.001,1 +3299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.28982314,2.368173807,0.001,1 +3300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.40830725,4.314031425,0.001,1 +3302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.31036023,0.754149568,0.001,1 +3301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.924819789,3.962478693,0.001,1 +3303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.15845746,1.518128477,0.001,1 +3305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.04213838,4.565249652,0.001,1 +3306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.73111288,7.596124772,0.001,1 +3304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.48240172,3.286883278,0.001,1 +3307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.38454269,3.508797668,0.001,1 +3308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.7343383,2.374225683,0.001,1 +3310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.2181413,4.598793302,0.001,1 +3309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.66103755,6.053680092,0.001,1 +3311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.19590074,6.142262176,0.001,1 +3312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.284703,4.369058001,0.001,1 +3313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.41604018,3.652629241,0.001,1 +3315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.49290437,2.015241189,0.001,1 +3314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.03029546,2.982334511,0.001,1 +3316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.15370688,3.087828058,0.001,1 +3319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.74893261,6.098644059,0.001,1 +3317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.05394371,5.907320947,0.001,1 +3318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.21125851,3.931268204,0.001,1 +3320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.51247846,4.808425282,0.001,1 +3321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.06589683,5.664875865,0.001,1 +3324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.82901349,3.395245313,0.001,1 +3322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.59328143,6.089911716,0.001,1 +3326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.45613742,4.417289497,0.001,1 +3325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.59530917,5.34962684,0.001,1 +3323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.72853297,3.19004025,0.001,1 +3328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.14319975,4.726237965,0.001,1 +3327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.59496588,4.600759187,0.001,1 +3331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.67507265,3.490373387,0.001,1 +3329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.77384268,4.409716597,0.001,1 +3330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.37104881,5.910308887,0.001,1 +3333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.53371499,7.302552201,0.001,1 +3332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.55098307,5.813008042,0.001,1 +3334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.49678194,3.515680164,0.001,1 +3335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.46993338,3.044397361,0.001,1 +3336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.37398395,4.452902368,0.001,1 +3338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.32994061,4.77478871,0.001,1 +3339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.0682024,4.649934276,0.001,1 +3337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.987467639,3.893245961,0.001,1 +3341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.78431521,4.274113925,0.001,1 +3340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.54123408,6.235171102,0.001,1 +3343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.39703555,5.008614856,0.001,1 +3342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.62039476,4.610152762,0.001,1 +3344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.28969233,4.074847244,0.001,1 +3345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.09016415,6.104294022,0.001,1 +3346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.09250404,3.984828187,0.001,1 +3347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.7389026,3.832839867,0.001,1 +3348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.74560863,8.199512633,0.001,1 +3349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.6653727,2.629872835,0.001,1 +3350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.53606196,3.557517466,0.001,1 +3352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.1132249,4.710549927,0.001,1 +3351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.75325993,4.208574261,0.001,1 +3353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.965301179,5.486579697,0.001,1 +3354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.53571837,5.934781488,0.001,1 +3355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.929274013,7.157957921,0.001,1 +3356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.12518479,2.766536384,0.001,1 +3357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.40037808,3.829340623,0.001,1 +3358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.22041447,5.179556502,0.001,1 +3359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.56308567,2.0685511,0.001,1 +3361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.89323327,2.584549674,0.001,1 +3363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.21256985,2.572533034,0.001,1 +3362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.59633072,4.625087336,0.001,1 +3364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.2740972,5.775120379,0.001,1 +3360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.55609697,3.521178002,0.001,1 +3365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.63519754,5.839720915,0.001,1 +3366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.42698321,1.61371097,0.001,1 +3367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.65606501,5.559690469,0.001,1 +3369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.46572669,4.184032685,0.001,1 +3368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.66235192,6.354437688,0.001,1 +3370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.951395719,5.753009086,0.001,1 +3371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.81058406,5.731973177,0.001,1 +3373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.44666609,3.016860362,0.001,1 +3374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.48357362,4.53252432,0.001,1 +3372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.999490307,7.879188442,0.001,1 +3375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.00640173,4.503558416,0.001,1 +3376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.22037339,4.595899077,0.001,1 +3378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.68873674,4.543974597,0.001,1 +3379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.10489514,3.405922868,0.001,1 +3377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.35938682,4.286586823,0.001,1 +3380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.13885122,6.196394726,0.001,1 +3381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.7552951,5.899047769,0.001,1 +3383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.39021731,4.026341662,0.001,1 +3382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.04681939,3.862362859,0.001,1 +3384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.15816891,5.568926757,0.001,1 +3385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.32831581,5.404353069,0.001,1 +3386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.58710502,2.441396908,0.001,1 +3387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.18521532,3.268644245,0.001,1 +3388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.52573336,2.969511686,0.001,1 +3389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.970518152,3.892994387,0.001,1 +3390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.06201437,5.532541224,0.001,1 +3392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.24198874,4.032245205,0.001,1 +3393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.40887232,6.610942331,0.001,1 +3394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.63336183,5.763998698,0.001,1 +3395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.31482814,5.317385171,0.001,1 +3396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.61092701,1.677366989,0.001,1 +3391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.30046885,2.774163693,0.001,1 +3397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.32871712,6.068897846,0.001,1 +3399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.46865665,5.554546045,0.001,1 +3398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.70667034,5.841473111,0.001,1 +3400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.16633269,2.26146077,0.001,1 +3403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.4535438,5.005425101,0.001,1 +3402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.31243648,1.740451143,0.001,1 +3401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.31944617,4.910626263,0.001,1 +3404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.971066018,2.838284605,0.001,1 +3405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.71480735,5.366952448,0.001,1 +3408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.73784586,3.52211074,0.001,1 +3407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.970162298,2.670956806,0.001,1 +3406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.06386931,3.839323381,0.001,1 +3410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.61148043,3.068541686,0.001,1 +3409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.13042714,3.723454676,0.001,1 +3411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.25203319,5.58883299,0.001,1 +3413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.45492723,2.833695437,0.001,1 +3412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.74495586,8.382857239,0.001,1 +3415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.14887218,3.831495713,0.001,1 +3416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.967932471,5.105693608,0.001,1 +3414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.55386677,5.881692603,0.001,1 +3417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.24660134,5.763614559,0.001,1 +3419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.300424,0.871445465,0.001,1 +3418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.05069105,4.698471242,0.001,1 +3420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.78718955,5.315703616,0.001,1 +3421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.54711994,6.809104767,0.001,1 +3422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.09485942,5.675123756,0.001,1 +3423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.72042201,3.253503931,0.001,1 +3424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.0605733,4.883433335,0.001,1 +3425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.03523037,3.492287012,0.001,1 +3426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.2937847,3.961089758,0.001,1 +3427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.49829362,4.117341341,0.001,1 +3428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.04420194,5.722575382,0.001,1 +3429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.67386358,4.380302311,0.001,1 +3430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.38358348,1.779278153,0.001,1 +3431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.1946196,4.82352702,0.001,1 +3432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.12351509,3.85305773,0.001,1 +3433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.57745109,3.72109663,0.001,1 +3435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.988170578,3.749575434,0.001,1 +3434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.28820583,6.722258033,0.001,1 +3436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.28164635,3.175329454,0.001,1 +3438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.46233844,4.272709498,0.001,1 +3439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.35829664,6.49878598,0.001,1 +3437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.06167359,3.704923639,0.001,1 +3440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.6556732,4.172967803,0.001,1 +3441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.36729159,2.888161488,0.001,1 +3442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.29149428,5.317572427,0.001,1 +3443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.8648265,5.010814462,0.001,1 +3444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.29740884,2.084956925,0.001,1 +3446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.84859704,1.926775454,0.001,1 +3445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.925311265,1.597067813,0.001,1 +3448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.44766767,4.103007354,0.001,1 +3449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.53084165,6.384419996,0.001,1 +3450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.67046972,4.03651433,0.001,1 +3451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.984969166,3.183450514,0.001,1 +3447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.56146404,2.556332225,0.001,1 +3452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.64933144,6.263431732,0.001,1 +3453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.70240315,4.233944231,0.001,1 +3454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.49342573,1.246060254,0.001,1 +3455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.41035193,0.991098911,0.001,1 +3456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.82031243,7.186512612,0.001,1 +3457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.972190736,4.312541934,0.001,1 +3458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.39348104,4.839699281,0.001,1 +3459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.07437907,5.845672274,0.001,1 +3460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.67842483,7.711011824,0.001,1 +3461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.48571067,2.925541351,0.001,1 +3462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.02828027,2.913849555,0.001,1 +3463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.973472084,4.811025463,0.001,1 +3464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.57994532,4.962632886,0.001,1 +3465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.41924189,3.62439898,0.001,1 +3466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.55222527,3.134384903,0.001,1 +3468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.25560768,5.365289245,0.001,1 +3469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.78172264,4.085607241,0.001,1 +3467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.913047547,5.058226714,0.001,1 +3470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.51092601,4.754941733,0.001,1 +3472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.50294544,5.31395936,0.001,1 +3471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.36079318,3.331611122,0.001,1 +3473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.68093906,4.64669607,0.001,1 +3474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.60153842,5.607642598,0.001,1 +3475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.27173297,4.315608464,0.001,1 +3476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.77515376,5.68982469,0.001,1 +3478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.5334123,2.087115611,0.001,1 +3477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.26816607,4.84643038,0.001,1 +3479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.67737989,7.237227323,0.001,1 +3480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.54993683,7.152952635,0.001,1 +3481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.32919765,2.974915937,0.001,1 +3482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.67002306,2.293067907,0.001,1 +3483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.5211921,3.923307613,0.001,1 +3484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.69486886,6.019489524,0.001,1 +3485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.62159205,5.247972381,0.001,1 +3487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.42898136,5.632594496,0.001,1 +3488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.7253461,3.886529826,0.001,1 +3486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.28078289,5.642680056,0.001,1 +3489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.27242731,5.459312034,0.001,1 +3490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.70288776,3.093337337,0.001,1 +3491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.54325098,5.439994694,0.001,1 +3492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.2166551,5.483011528,0.001,1 +3493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.50918511,4.839705263,0.001,1 +3494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.19820784,5.446279257,0.001,1 +3495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.13181951,2.894571985,0.001,1 +3497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.45394774,3.997367449,0.001,1 +3496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.65492715,4.954799138,0.001,1 +3498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.0099488,7.107704558,0.001,1 +3499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.55001908,6.692058737,0.001,1 +3500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.54236301,3.391901256,0.001,1 +3501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.884646529,3.984586372,0.001,1 +3503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.72579502,5.717439741,0.001,1 +3502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.26832606,5.427016017,0.001,1 +3504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.26574993,5.457893281,0.001,1 +3506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.17665402,4.32863827,0.001,1 +3507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.26635504,6.725723096,0.001,1 +3505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.03538692,1.326565873,0.001,1 +3508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.03937011,4.733991076,0.001,1 +3509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.21228849,6.075837046,0.001,1 +3510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.58000617,6.917180491,0.001,1 +3511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.09360657,6.894838566,0.001,1 +3513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.928480464,4.562885941,0.001,1 +3512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.70659801,6.657916738,0.001,1 +3514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.21684935,2.722617597,0.001,1 +3515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.7455243,5.231109201,0.001,1 +3517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.58715631,5.243726989,0.001,1 +3516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.02807639,5.665063975,0.001,1 +3518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.42380784,4.603747469,0.001,1 +3519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.14090368,3.573209133,0.001,1 +3521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.73146173,4.287751566,0.001,1 +3520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.10318723,3.563540658,0.001,1 +3522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.991985004,6.859995883,0.001,1 +3524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.5559032,7.105502618,0.001,1 +3525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.55858486,6.120528061,0.001,1 +3526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.66051823,5.002368842,0.001,1 +3527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.54399947,3.901567303,0.001,1 +3523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.03016346,6.281694087,0.001,1 +3530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.77732305,5.757751089,0.001,1 +3529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.15049956,6.995526655,0.001,1 +3528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.51311528,5.209911289,0.001,1 +3531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.45468583,5.712947306,0.001,1 +3533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.15487035,6.108765492,0.001,1 +3534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.57511632,4.604510661,0.001,1 +3532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.51635135,5.124561472,0.001,1 +3535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.61526344,6.975524789,0.001,1 +3537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.2238119,5.302460075,0.001,1 +3538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.31895168,4.617400834,0.001,1 +3536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.11624025,4.898336166,0.001,1 +3539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.33185453,7.017090237,0.001,1 +3540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.37607644,5.111216609,0.001,1 +3541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.44876225,3.422857917,0.001,1 +3542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.69754134,5.803464525,0.001,1 +3543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.61952944,1.689541277,0.001,1 +3544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.51622472,4.155882633,0.001,1 +3546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.63449325,6.871104095,0.001,1 +3545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.44240172,5.836035333,0.001,1 +3547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.6359426,2.619623781,0.001,1 +3548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.73290701,4.587686642,0.001,1 +3549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.66551045,1.953074716,0.001,1 +3550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.1577104,5.774000461,0.001,1 +3551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.76589504,3.605707109,0.001,1 +3552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.49348432,4.789492666,0.001,1 +3554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.988712648,3.391533313,0.001,1 +3553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.51054189,2.313265562,0.001,1 +3556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.62807073,4.394812429,0.001,1 +3555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.51387725,2.231267686,0.001,1 +3557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.028766,3.171311594,0.001,1 +3558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.30793932,3.691001157,0.001,1 +3560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.46528113,2.65195966,0.001,1 +3561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.08768111,1.73674159,0.001,1 +3562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.52689677,2.812816861,0.001,1 +3564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.86990773,3.178766735,0.001,1 +3563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.63576289,2.925917249,0.001,1 +3565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.52594423,5.773407985,0.001,1 +3559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.27861282,3.074355152,0.001,1 +3566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.17850064,6.562974065,0.001,1 +3567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.73733687,5.693356239,0.001,1 +3568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.48500594,6.070097577,0.001,1 +3569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.82738018,4.145323732,0.001,1 +3570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.28899163,5.119182561,0.001,1 +3571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.17025499,4.59868611,0.001,1 +3572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.982190042,5.524407094,0.001,1 +3573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.64027566,3.022552987,0.001,1 +3574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.23084141,3.948562184,0.001,1 +3575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.40187358,5.919888906,0.001,1 +3576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.58738305,6.424864247,0.001,1 +3578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.28446596,3.006877311,0.001,1 +3577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.48245855,3.632614087,0.001,1 +3579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.14071262,3.14482834,0.001,1 +3580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.07438806,0.610805299,0.001,1 +3582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.71089208,4.195377631,0.001,1 +3581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.03612302,4.378761951,0.001,1 +3584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.25115552,3.749091852,0.001,1 +3583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.27956382,4.196155896,0.001,1 +3586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.47219821,5.018191232,0.001,1 +3585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.56423765,5.997604474,0.001,1 +3587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.62322705,3.381597596,0.001,1 +3589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.06886455,6.77909656,0.001,1 +3588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.61024157,5.827889998,0.001,1 +3591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.935633584,2.429313058,0.001,1 +3590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.28739593,5.663950367,0.001,1 +3592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.2240241,5.068322871,0.001,1 +3594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.17418748,4.280593347,0.001,1 +3593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.59056365,6.648064809,0.001,1 +3595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.21946088,3.65479565,0.001,1 +3596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.57812219,4.590167667,0.001,1 +3597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.03204012,5.436835965,0.001,1 +3598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.02104157,5.192333532,0.001,1 +3600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.911925768,4.483762538,0.001,1 +3601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.31594893,5.377148515,0.001,1 +3603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.32290573,1.424234027,0.001,1 +3602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.29622909,3.387267342,0.001,1 +3604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.25090531,8.129502042,0.001,1 +3605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.07804224,5.557931311,0.001,1 +3606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.12426595,3.140062534,0.001,1 +3599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.87037001,5.614853743,0.001,1 +3607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.2317098,4.927788598,0.001,1 +3608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.16651686,4.166280285,0.001,1 +3609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.84178498,2.914054246,0.001,1 +3611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.2395781,5.915988953,0.001,1 +3610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.08847896,3.33464336,0.001,1 +3612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.56554997,4.077247576,0.001,1 +3613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.66551423,6.996106106,0.001,1 +3614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.28876271,3.974595178,0.001,1 +3616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.64596109,1.891427998,0.001,1 +3617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.47831364,8.91854735,0.001,1 +3615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.70217707,4.323203939,0.001,1 +3618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.46898808,2.441328476,0.001,1 +3619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.06602173,5.972504503,0.001,1 +3620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.04907916,6.425767441,0.001,1 +3621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.65141249,6.471750421,0.001,1 +3623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.63091305,4.729991381,0.001,1 +3624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.81370378,1.675532376,0.001,1 +3625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.17620204,5.556551743,0.001,1 +3622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.75938458,1.977502581,0.001,1 +3626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.18542933,5.688761806,0.001,1 +3627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.54633442,5.210039373,0.001,1 +3630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.17261956,6.554052853,0.001,1 +3629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.42180906,6.771161071,0.001,1 +3631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.980569234,3.046734787,0.001,1 +3628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.52248329,1.631433644,0.001,1 +3633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.68188898,5.183231303,0.001,1 +3632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.56835779,4.402473372,0.001,1 +3634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.8018606,7.514658624,0.001,1 +3635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.48568846,5.22562263,0.001,1 +3636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.09377068,2.68654226,0.001,1 +3637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.34684671,5.84353285,0.001,1 +3639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.74854756,5.624336958,0.001,1 +3641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.972649682,3.667887924,0.001,1 +3642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.38086769,4.450508729,0.001,1 +3640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.67178147,3.118507221,0.001,1 +3643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.963393335,4.596666204,0.001,1 +3638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.23602898,5.916083523,0.001,1 +3644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.70758443,6.510990798,0.001,1 +3645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.51768657,6.347169444,0.001,1 +3648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.76266063,5.538357236,0.001,1 +3646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.81555615,4.269983264,0.001,1 +3647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.76441898,4.641188256,0.001,1 +3649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.955425111,4.044367108,0.001,1 +3650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.04404229,4.073092208,0.001,1 +3651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.962386846,3.587866075,0.001,1 +3652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.990240116,3.508406955,0.001,1 +3653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.60881092,2.221302076,0.001,1 +3654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.04719649,2.967471916,0.001,1 +3656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.22844235,7.192290339,0.001,1 +3655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.32919612,7.89801216,0.001,1 +3658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.2861485,6.10512982,0.001,1 +3660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.43926488,4.333145666,0.001,1 +3657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.00082925,5.690830351,0.001,1 +3659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.31707141,5.048879518,0.001,1 +3661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.30830717,2.686722314,0.001,1 +3662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.12842059,5.174795906,0.001,1 +3664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.12351483,5.139122116,0.001,1 +3663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.15212072,5.082774383,0.001,1 +3665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.52843036,1.779154407,0.001,1 +3666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.65723759,4.944773763,0.001,1 +3667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.45468635,0.673758171,0.001,1 +3669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.44173958,2.261883009,0.001,1 +3670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.76976014,6.472304366,0.001,1 +3671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.44109855,5.991095617,0.001,1 +3668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.08361778,4.30872232,0.001,1 +3673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.63138424,3.554076263,0.001,1 +3672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.22543616,5.204216441,0.001,1 +3674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.19284739,3.87484961,0.001,1 +3676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.25510148,3.842504341,0.001,1 +3675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.43519378,4.810997625,0.001,1 +3677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.81396291,5.137627245,0.001,1 +3678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.70924918,5.2150807,0.001,1 +3679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.1797394,4.018647457,0.001,1 +3681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.996711828,3.471568871,0.001,1 +3682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.7507317,3.728353946,0.001,1 +3680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.81104204,4.342764958,0.001,1 +3684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.01548832,2.401286002,0.001,1 +3683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.64128608,4.129374415,0.001,1 +3686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.2986639,5.635873742,0.001,1 +3688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.47809405,3.829485786,0.001,1 +3685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.41916716,6.531537633,0.001,1 +3690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.30665695,1.552929579,0.001,1 +3687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.64511976,4.390138879,0.001,1 +3689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.26752075,3.235672412,0.001,1 +3692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.7500232,4.29830796,0.001,1 +3693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.19048489,3.784615643,0.001,1 +3691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.42654138,4.225456266,0.001,1 +3694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.61675487,4.226916136,0.001,1 +3695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.64178142,4.873888354,0.001,1 +3697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.985887995,1.721328703,0.001,1 +3698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.04025158,5.209380722,0.001,1 +3696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.24278561,3.745742019,0.001,1 +3701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.979395779,1.961824434,0.001,1 +3702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.11160676,4.502736103,0.001,1 +3699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.24673877,3.562086697,0.001,1 +3704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.20302012,2.660325926,0.001,1 +3703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.17590232,7.053921844,0.001,1 +3700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.25172228,8.438360607,0.001,1 +3705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.57178296,5.531673018,0.001,1 +3706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.21327494,5.488825834,0.001,1 +3708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.64143153,5.590571333,0.001,1 +3707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.69282012,2.990254842,0.001,1 +3709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.26588995,2.113352767,0.001,1 +3711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.58914813,8.451328458,0.001,1 +3713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.10400296,6.417981361,0.001,1 +3714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.72567388,5.460677215,0.001,1 +3712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.62907939,4.097119429,0.001,1 +3710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.42865675,2.628444442,0.001,1 +3715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.57074664,3.524795319,0.001,1 +3716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.33687672,6.049183388,0.001,1 +3717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.25038353,6.813296798,0.001,1 +3718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.38320656,2.871356758,0.001,1 +3721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.70048427,3.522182329,0.001,1 +3719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.57396397,5.017415363,0.001,1 +3722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.0577455,5.973830325,0.001,1 +3720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.51960928,2.568094496,0.001,1 +3723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.21514366,3.777886401,0.001,1 +3724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.52289624,4.883380647,0.001,1 +3725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.58722129,2.917749215,0.001,1 +3726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.16669299,6.910142977,0.001,1 +3728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.45504422,2.658244714,0.001,1 +3727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.50693118,2.694820057,0.001,1 +3730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.15429756,5.843025481,0.001,1 +3729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.59052365,2.426345779,0.001,1 +3732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.43630379,1.381689668,0.001,1 +3731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.6584165,5.878185055,0.001,1 +3734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.09024181,1.664385827,0.001,1 +3733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.17970746,5.372891923,0.001,1 +3736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.04236068,4.690819482,0.001,1 +3735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.24184663,4.977818944,0.001,1 +3738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.3967423,3.729336767,0.001,1 +3739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.06328018,2.271664675,0.001,1 +3737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.7843121,5.147787606,0.001,1 +3740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.00900498,5.865922495,0.001,1 +3741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.38998805,5.376480339,0.001,1 +3742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.57155421,6.791349637,0.001,1 +3744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.26812891,5.470135819,0.001,1 +3743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.34959304,3.444603633,0.001,1 +3745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.71063678,2.468717178,0.001,1 +3746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.63723006,3.743963955,0.001,1 +3749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.68921138,3.461257018,0.001,1 +3747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.981339993,6.138762585,0.001,1 +3750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.35877468,5.466241948,0.001,1 +3748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.73501901,3.516958422,0.001,1 +3752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.22581499,4.757301887,0.001,1 +3753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.51465743,2.36080566,0.001,1 +3751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.49617707,1.043424922,0.001,1 +3754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.07217702,4.901206724,0.001,1 +3757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.36841781,5.285775092,0.001,1 +3755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.51085256,4.291164791,0.001,1 +3758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.32962181,4.848208226,0.001,1 +3759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.973858255,4.27080887,0.001,1 +3756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.16140462,3.111847192,0.001,1 +3761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.28977821,2.480079981,0.001,1 +3763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.25577461,3.267476837,0.001,1 +3762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.08379956,7.553781558,0.001,1 +3764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.67495083,5.500436761,0.001,1 +3765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.05274518,7.001968275,0.001,1 +3760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.69383153,3.563725244,0.001,1 +3766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.957003751,2.885981204,0.001,1 +3768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.43394586,4.459267813,0.001,1 +3770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.55744488,2.79637772,0.001,1 +3767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.41560816,3.79481471,0.001,1 +3769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.43782187,4.967436002,0.001,1 +3772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.83351344,3.81295342,0.001,1 +3773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.938901867,4.32732005,0.001,1 +3774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.51027091,3.186062114,0.001,1 +3771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.35409077,3.566841367,0.001,1 +3775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.32003492,2.419700072,0.001,1 +3778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.33228474,4.509844881,0.001,1 +3776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.23786035,5.541884466,0.001,1 +3777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.0331616,2.564543352,0.001,1 +3779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.55820818,3.812024457,0.001,1 +3781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.3093432,6.380047758,0.001,1 +3782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.903649563,5.479222172,0.001,1 +3780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.02462537,5.713775547,0.001,1 +3783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.938822318,2.851976053,0.001,1 +3784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.6179444,5.897929971,0.001,1 +3785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.0174022,5.457772501,0.001,1 +3787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.69043563,4.948745814,0.001,1 +3790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.28397152,2.902359632,0.001,1 +3788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.70968977,6.500798958,0.001,1 +3791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.10252312,2.329238095,0.001,1 +3786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.996260611,3.998383913,0.001,1 +3789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.85811832,3.108152861,0.001,1 +3792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.73907465,3.134692067,0.001,1 +3794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.989210451,2.155517836,0.001,1 +3793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.21521355,3.786736329,0.001,1 +3796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.25940357,4.016651432,0.001,1 +3795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.116409,3.172638727,0.001,1 +3797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.25472242,4.67150522,0.001,1 +3799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.76504224,2.115876133,0.001,1 +3798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.54815743,3.992313344,0.001,1 +3800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.01814917,5.21959706,0.001,1 +3801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.31190357,4.973431108,0.001,1 +3803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.46289426,6.421456751,0.001,1 +3802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.57251064,3.793865945,0.001,1 +3804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.59892556,8.211178558,0.001,1 +3806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.12378777,3.700117341,0.001,1 +3809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.76085765,1.713628486,0.001,1 +3808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.78359638,3.717435639,0.001,1 +3807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.60788241,2.584987503,0.001,1 +3805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.45995659,2.214393285,0.001,1 +3810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.68418258,4.72288205,0.001,1 +3811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.10246998,3.47134877,0.001,1 +3812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.27910849,5.014041298,0.001,1 +3813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.1696134,4.947500577,0.001,1 +3815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.54992458,4.434031956,0.001,1 +3814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.01229132,5.502820427,0.001,1 +3816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.77394803,6.074555694,0.001,1 +3818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.57635144,7.927741004,0.001,1 +3817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.02535607,4.031984596,0.001,1 +3819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.49680359,4.11131305,0.001,1 +3821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.5676491,4.444528907,0.001,1 +3820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.54739544,5.241453746,0.001,1 +3823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.36291816,5.803439006,0.001,1 +3822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.7667679,3.914274511,0.001,1 +3825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.29099738,4.039411572,0.001,1 +3826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.50019254,4.562681216,0.001,1 +3827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.31282614,4.209992793,0.001,1 +3824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.1591212,2.334407054,0.001,1 +3828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.52789184,2.559129819,0.001,1 +3829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.55185705,2.655429206,0.001,1 +3831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.60703663,4.142120988,0.001,1 +3830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.13322672,6.749837919,0.001,1 +3832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.15565536,2.125010614,0.001,1 +3833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.53299911,5.806578792,0.001,1 +3834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.64563224,4.470269172,0.001,1 +3835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.21332573,3.8347362,0.001,1 +3836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.45067313,2.089748866,0.001,1 +3838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.78172397,2.197015672,0.001,1 +3839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.73388563,4.625442131,0.001,1 +3837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.58458189,4.34724155,0.001,1 +3841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.6632538,3.887734334,0.001,1 +3842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.67014877,3.974295591,0.001,1 +3840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.23626687,6.232425425,0.001,1 +3844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.68895745,3.533926055,0.001,1 +3845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.00206716,5.911453855,0.001,1 +3847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.00029129,6.312966098,0.001,1 +3846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.39617189,7.608995275,0.001,1 +3843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.44604547,3.910524461,0.001,1 +3848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.19167209,5.41056736,0.001,1 +3850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.65757402,5.382987773,0.001,1 +3849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.12600021,4.235742927,0.001,1 +3852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.37002905,5.123271707,0.001,1 +3851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.24277074,6.631848663,0.001,1 +3854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.15952623,2.37967285,0.001,1 +3856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.594424,2.769152267,0.001,1 +3855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.54517334,5.842330246,0.001,1 +3857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.14422609,4.628438276,0.001,1 +3858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.11612915,7.150359546,0.001,1 +3853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.22004857,5.965574035,0.001,1 +3859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.74822657,4.391800644,0.001,1 +3860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.45747285,4.771196019,0.001,1 +3861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.17602143,0.555565848,0.001,1 +3862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.36542433,4.420794048,0.001,1 +3865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.35596783,3.926051019,0.001,1 +3864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.24627586,6.072804936,0.001,1 +3866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.41018717,4.040670238,0.001,1 +3863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.52570316,3.762864152,0.001,1 +3869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.33035978,6.036623328,0.001,1 +3868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.24540525,3.184070033,0.001,1 +3870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.46154718,2.825216907,0.001,1 +3867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.39567645,4.015014699,0.001,1 +3872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.33134943,4.265232431,0.001,1 +3871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.71321553,3.860551143,0.001,1 +3873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.74517565,6.11998177,0.001,1 +3874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.79771002,1.315438887,0.001,1 +3876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.23603419,2.997877598,0.001,1 +3875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.63060123,7.304131651,0.001,1 +3877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.13746372,5.652846268,0.001,1 +3878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.73534431,6.868851573,0.001,1 +3879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.28825886,5.131632986,0.001,1 +3880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.09098062,6.809012646,0.001,1 +3881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.30773164,3.333620954,0.001,1 +3882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.62779587,4.764987219,0.001,1 +3885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.8190429,4.472423156,0.001,1 +3884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.2986246,2.905648275,0.001,1 +3883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.79822113,4.608592046,0.001,1 +3886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.24927986,5.741583501,0.001,1 +3887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.46114479,3.156606088,0.001,1 +3889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.73200859,3.04816143,0.001,1 +3888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.71504599,3.433595991,0.001,1 +3892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.30981273,5.209648749,0.001,1 +3891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.31201766,3.788340612,0.001,1 +3893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.03807043,4.903942474,0.001,1 +3890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.02735956,2.98528449,0.001,1 +3894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.05170989,4.22563147,0.001,1 +3895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.30133212,5.221783338,0.001,1 +3897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.11207824,3.418621605,0.001,1 +3896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.65259165,5.509375821,0.001,1 +3899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.29118567,2.839584541,0.001,1 +3900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.35981425,4.600868662,0.001,1 +3903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.40915308,5.906377319,0.001,1 +3902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.35848382,4.735879863,0.001,1 +3898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.51536733,5.07526638,0.001,1 +3901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.47080072,8.46561312,0.001,1 +3905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.66927033,6.827487392,0.001,1 +3904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.7898231,3.03613196,0.001,1 +3907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.70508415,3.61780531,0.001,1 +3906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.61479459,4.201108177,0.001,1 +3909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.68393129,4.465588434,0.001,1 +3908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.08028804,5.780380761,0.001,1 +3911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.08180954,2.865140362,0.001,1 +3913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.51969576,5.360911205,0.001,1 +3910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.01792083,5.36206571,0.001,1 +3912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.04889475,5.988864503,0.001,1 +3915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.50349823,3.637583059,0.001,1 +3914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.05380886,3.301054164,0.001,1 +3916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.795038019,5.311021999,0.001,1 +3917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.45574146,6.763699074,0.001,1 +3918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.63120339,7.058216402,0.001,1 +3919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.39519635,4.454563179,0.001,1 +3921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.79270717,3.617183072,0.001,1 +3924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.74882213,1.890625269,0.001,1 +3923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.46603658,3.892341536,0.001,1 +3925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.33942562,4.567611674,0.001,1 +3922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.55034071,5.908523307,0.001,1 +3926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.12617073,2.828857512,0.001,1 +3927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.49891207,4.426751515,0.001,1 +3920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.29502456,7.204171531,0.001,1 +3928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.72017044,4.652944286,0.001,1 +3930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.99385826,3.003655716,0.001,1 +3932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.27992202,3.320478092,0.001,1 +3933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.60579415,4.550607328,0.001,1 +3931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.25763701,6.384250798,0.001,1 +3934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.45232821,4.160919793,0.001,1 +3935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.12856733,4.763508543,0.001,1 +3929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.4693344,3.719986767,0.001,1 +3936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.59026686,7.048207018,0.001,1 +3937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.21867019,1.943390623,0.001,1 +3940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.49295676,4.315802704,0.001,1 +3939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.80645588,3.419715469,0.001,1 +3938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.27503965,4.888793266,0.001,1 +3943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.74701719,1.351073102,0.001,1 +3942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.67405732,3.907897128,0.001,1 +3941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.16970263,6.145508739,0.001,1 +3945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.65760517,3.951344526,0.001,1 +3946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.01641929,5.735522782,0.001,1 +3947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.65902724,1.819914859,0.001,1 +3948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.38490941,7.535797788,0.001,1 +3944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.77815799,3.662240384,0.001,1 +3949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.71111497,3.651250127,0.001,1 +3950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.75460197,5.009838351,0.001,1 +3951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.17662395,3.582407593,0.001,1 +3952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.655205,2.604329472,0.001,1 +3953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.55423397,3.281003082,0.001,1 +3956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.974684853,8.216155154,0.001,1 +3955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.00490116,5.675309716,0.001,1 +3954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.49287072,5.568523545,0.001,1 +3957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.65871997,3.540378534,0.001,1 +3960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.73633453,2.790495184,0.001,1 +3962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.13359383,3.648467694,0.001,1 +3959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.58262932,3.998315249,0.001,1 +3964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.16993496,5.94888971,0.001,1 +3963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.38036996,8.081109536,0.001,1 +3958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.976484244,3.900099034,0.001,1 +3961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.76938807,3.327893603,0.001,1 +3965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.20240502,4.011051434,0.001,1 +3966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.04688386,7.24042936,0.001,1 +3968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.56164,2.626292607,0.001,1 +3970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.53740085,3.385580844,0.001,1 +3971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.53596625,2.107080454,0.001,1 +3972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.18814128,1.902904488,0.001,1 +3969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.20573482,5.399107418,0.001,1 +3967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.16035414,5.69761154,0.001,1 +3973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.27426523,4.236497641,0.001,1 +3974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.54312677,2.52623941,0.001,1 +3975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.00528378,4.462429772,0.001,1 +3976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.26306223,2.953130084,0.001,1 +3978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.69648356,4.560265488,0.001,1 +3979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.50673334,6.513558143,0.001,1 +3981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.18685054,4.526142243,0.001,1 +3980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.26667047,6.256672569,0.001,1 +3977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.1086627,5.216075373,0.001,1 +3983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.2670411,4.981427484,0.001,1 +3982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.47546107,4.158349263,0.001,1 +3984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.53667083,5.767697634,0.001,1 +3986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.4459362,3.958083358,0.001,1 +3987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.46708132,4.246894815,0.001,1 +3988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.71960119,3.027343903,0.001,1 +3985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.64465677,3.488491505,0.001,1 +3989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.15769008,4.441467062,0.001,1 +3991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.16967866,5.081144186,0.001,1 +3990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.38673361,6.308946005,0.001,1 +3992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.01152991,2.395750073,0.001,1 +3993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.12423864,4.662927979,0.001,1 +3994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.62595595,4.439781183,0.001,1 +3996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-9.936730593,4.91155507,0.001,1 +3995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.37714898,4.928087023,0.001,1 +3998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.22652552,8.46670921,0.001,1 +3999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.30678471,4.320094616,0.001,1 +4000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.70996808,3.70127732,0.001,1 +3997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.15,10,1,-10.26348533,7.056265188,0.001,1 +4001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.39076634,2.897779577,0,0.998 +4002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.6691238,5.774479821,0,0.998 +4003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.26955718,5.987479885,0,0.998 +4004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.28587334,4.28673149,0,0.998 +4005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.78608124,6.661361859,0,0.998 +4006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.54016567,5.639028577,0,0.998 +4007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.41258999,3.462185124,0,0.998 +4008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.64411036,2.6785521,0,0.998 +4010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.4416709,5.156849601,0,0.998 +4009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.91387484,3.446741552,0,0.998 +4011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.69591697,2.277181552,0,0.998 +4012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.19623481,2.575777929,0,0.998 +4013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.02671018,3.960040843,0,0.998 +4015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.941145767,4.192029296,0,0.998 +4018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.78539489,4.58170362,0,0.998 +4017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.35881783,1.962596077,0,0.998 +4014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.52433431,2.522326201,0,0.998 +4019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.06728186,5.80231246,0,0.998 +4020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.5733438,4.971327396,0,0.998 +4016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.27612404,4.164594263,0,0.998 +4021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.62043914,4.135451147,0,0.998 +4024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.38979046,4.298383907,0,0.998 +4022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.20484971,2.651570587,0,0.998 +4023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.1937564,3.702537419,0,0.998 +4025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.62942921,5.972193252,0,0.998 +4026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.08121651,3.719514156,0,0.998 +4027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.41104058,5.411829733,0,0.998 +4028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.79575394,2.717476494,0,0.998 +4029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.31134541,2.911225564,0,0.998 +4030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.978649752,2.907799778,0,0.998 +4031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.115384,3.557458036,0,0.998 +4033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.60646598,4.508595649,0,0.998 +4032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.06856484,2.753342575,0,0.998 +4034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.2407543,1.824928808,0,0.998 +4035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.13606095,2.710332804,0,0.998 +4037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.63924221,2.135362149,0,0.998 +4036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.43155448,3.419328096,0,0.998 +4038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.26708613,5.971584295,0,0.998 +4039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.3761792,2.565856499,0,0.998 +4041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.0278669,2.632343947,0,0.998 +4040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.62393663,3.467040654,0,0.998 +4044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.42358994,3.795370875,0,0.998 +4043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.14209278,6.886008042,0,0.998 +4042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.22069655,2.624271242,0,0.998 +4045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.02346238,3.992049244,0,0.998 +4046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.52932102,4.374269182,0,0.998 +4047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.10158979,3.817097571,0,0.998 +4049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.47130702,4.929460427,0,0.998 +4048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.65508616,4.853265958,0,0.998 +4050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.44509836,5.004106057,0,0.998 +4051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.07441014,1.256805659,0,0.998 +4052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.64766016,3.726449646,0,0.998 +4053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.74392276,2.95004584,0,0.998 +4055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.31333555,1.220149637,0,0.998 +4056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.74120415,3.176037366,0,0.998 +4057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.22682852,2.581903224,0,0.998 +4054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.69340062,4.925709683,0,0.998 +4058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.994019015,3.041622302,0,0.998 +4060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.63951704,3.74102509,0,0.998 +4061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.4063618,4.25061305,0,0.998 +4059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.15428545,2.842329882,0,0.998 +4062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.59210335,4.530118971,0,0.998 +4063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.07505084,2.371586907,0,0.998 +4065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.992776067,2.065426478,0,0.998 +4066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.77436338,3.720814867,0,0.998 +4064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.75698909,6.392731481,0,0.998 +4067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.4484365,1.270185178,0,0.998 +4068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.13330186,0.396494192,0,0.998 +4070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.39884032,1.701403974,0,0.998 +4069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.33043642,2.861303363,0,0.998 +4071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.20177476,2.937947478,0,0.998 +4072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.63107773,7.492269074,0,0.998 +4075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.36668629,3.552774001,0,0.998 +4073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.53030021,5.632300448,0,0.998 +4074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.39431377,2.256413109,0,0.998 +4077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.25705673,4.857593796,0,0.998 +4079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.11972987,2.759004108,0,0.998 +4076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.40436633,2.603982392,0,0.998 +4078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.26367359,3.847737711,0,0.998 +4080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.59860752,0.828892589,0,0.998 +4082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.4289118,4.025890487,0,0.998 +4083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.63486288,3.614705857,0,0.998 +4084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.28951156,4.05924128,0,0.998 +4085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.54084669,2.054075463,0,0.998 +4087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.05164235,4.701678044,0,0.998 +4086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.53144339,-0.223226221,0,0.998 +4088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.22447197,3.083992448,0,0.998 +4081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.27968642,3.591211168,0,0.998 +4089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.15967497,3.624752644,0,0.998 +4090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.64991135,4.931897064,0,0.998 +4091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.26355669,3.319768262,0,0.998 +4092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.11168347,5.730148663,0,0.998 +4094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.13946716,6.609342232,0,0.998 +4093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.31279898,4.878613919,0,0.998 +4097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.13465845,3.743558665,0,0.998 +4096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.52796856,1.971969178,0,0.998 +4098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.0520336,3.271290434,0,0.998 +4095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.20451286,3.357395557,0,0.998 +4099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.325878,4.926171816,0,0.998 +4100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.73891138,4.573270967,0,0.998 +4101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.27090543,3.072184329,0,0.998 +4102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.61291598,5.62700583,0,0.998 +4103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.7736772,6.647210967,0,0.998 +4105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.84951043,4.696060055,0,0.998 +4104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.62882293,3.755590485,0,0.998 +4106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.10407543,5.890189379,0,0.998 +4108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.74287668,4.871769087,0,0.998 +4107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.69587485,4.549400414,0,0.998 +4109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.31748586,5.481146746,0,0.998 +4111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.21814617,1.980959482,0,0.998 +4110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.53491028,5.047394847,0,0.998 +4112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.902513965,3.228219971,0,0.998 +4113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.46739353,5.354981588,0,0.998 +4115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.991026315,2.883653396,0,0.998 +4116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.71774829,3.916368248,0,0.998 +4114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.12027071,5.081389232,0,0.998 +4117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.59889908,2.44333023,0,0.998 +4118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.08958278,5.360675389,0,0.998 +4119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.3034085,5.673767078,0,0.998 +4120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.00833395,5.569082324,0,0.998 +4121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.58178524,4.879468647,0,0.998 +4122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.919435016,3.322355464,0,0.998 +4123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.53072974,3.741387444,0,0.998 +4127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.06526774,4.332233065,0,0.998 +4126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.33780346,2.052344519,0,0.998 +4128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.60367499,2.860674612,0,0.998 +4124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.11315607,3.636030521,0,0.998 +4125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.14439645,3.612053593,0,0.998 +4129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.19477227,6.054198615,0,0.998 +4130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.31299956,2.911721211,0,0.998 +4131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.73075781,2.94018115,0,0.998 +4132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.49063865,4.293093462,0,0.998 +4133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.992727643,4.361263779,0,0.998 +4136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.28426476,1.758408001,0,0.998 +4135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.26493514,1.946355889,0,0.998 +4137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.30756878,4.782507806,0,0.998 +4138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.00981007,2.539807212,0,0.998 +4139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.69694358,4.655743464,0,0.998 +4134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.3931027,5.419616909,0,0.998 +4140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.61100277,4.805212733,0,0.998 +4141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.098222,4.464591815,0,0.998 +4142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.23746876,3.41457776,0,0.998 +4144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.26387889,2.542695708,0,0.998 +4143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.29622078,0.937059761,0,0.998 +4145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.80183671,1.786200284,0,0.998 +4146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.02338144,3.243604327,0,0.998 +4148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.15841526,2.571100391,0,0.998 +4147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.32388265,4.347728116,0,0.998 +4150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.50668083,3.769321697,0,0.998 +4149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.15077287,4.188641547,0,0.998 +4151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.32065944,2.668290456,0,0.998 +4153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.35528538,6.487567824,0,0.998 +4154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.35560157,1.880965529,0,0.998 +4155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.41031485,4.468105812,0,0.998 +4152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.33876492,4.807241015,0,0.998 +4156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.544416,4.991569639,0,0.998 +4158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.16200923,4.304152505,0,0.998 +4159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.873803646,0.315058427,0,0.998 +4157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.30362635,4.939746014,0,0.998 +4160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.2344116,7.154526594,0,0.998 +4161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.82032631,3.970634067,0,0.998 +4162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.65328917,1.022099095,0,0.998 +4164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.54205805,3.241165368,0,0.998 +4163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.00261676,0.829279681,0,0.998 +4167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.03388198,2.898391788,0,0.998 +4166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.897436374,2.045693727,0,0.998 +4168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.968591714,3.193465203,0,0.998 +4169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.4554907,1.161770121,0,0.998 +4165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.62868278,6.176256486,0,0.998 +4171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.01844445,3.643236521,0,0.998 +4170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.902859318,3.527044044,0,0.998 +4173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.44626473,5.420985412,0,0.998 +4172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.31621971,3.420139406,0,0.998 +4174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.15008574,5.923060918,0,0.998 +4175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.0384169,1.225330672,0,0.998 +4177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.73542687,5.709744797,0,0.998 +4176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.42220404,3.59461553,0,0.998 +4178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.23993812,3.191864187,0,0.998 +4179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.02943931,5.939618043,0,0.998 +4180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.05466329,3.658866969,0,0.998 +4182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.31876791,3.668107559,0,0.998 +4181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.05923604,6.711366782,0,0.998 +4183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.04647152,4.716981327,0,0.998 +4185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.21784556,4.629603553,0,0.998 +4184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.17265051,5.489792493,0,0.998 +4186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.43293642,3.229547569,0,0.998 +4187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.4199572,7.092160797,0,0.998 +4188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.4732867,7.506071151,0,0.998 +4189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.11712993,2.68976736,0,0.998 +4191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.82131692,2.958838234,0,0.998 +4192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.35330421,5.526006145,0,0.998 +4193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.65854695,3.011857074,0,0.998 +4190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.13821987,3.288420092,0,0.998 +4194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.44735949,4.058238273,0,0.998 +4195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.45393903,0.693623643,0,0.998 +4196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.46140446,4.597596179,0,0.998 +4198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.37178656,2.125997357,0,0.998 +4197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.51494586,4.674800902,0,0.998 +4199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.38325707,2.729575115,0,0.998 +4200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.6231714,6.904842227,0,0.998 +4202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.64984825,2.06501889,0,0.998 +4204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.26528271,7.559442913,0,0.998 +4203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.54833364,2.940456726,0,0.998 +4201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.940622573,4.711597111,0,0.998 +4205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.2061995,3.175482898,0,0.998 +4206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.64981313,3.823890665,0,0.998 +4207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.4296255,5.362575676,0,0.998 +4208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.23869663,4.78060806,0,0.998 +4209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.32025525,2.918480371,0,0.998 +4210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.59727115,5.328636313,0,0.998 +4211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.64541801,3.596670403,0,0.998 +4212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.947825605,5.709215837,0,0.998 +4213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.83264582,3.051549871,0,0.998 +4214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.64526856,2.336951394,0,0.998 +4216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.27112479,4.928835847,0,0.998 +4215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.18831088,3.204542307,0,0.998 +4217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.75732999,3.076136538,0,0.998 +4219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.6173298,4.584189273,0,0.998 +4218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.2121111,4.07929725,0,0.998 +4221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.08375195,3.264248238,0,0.998 +4222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.977416727,2.765456488,0,0.998 +4220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.07404976,5.315360532,0,0.998 +4224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.21472842,2.728371751,0,0.998 +4223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.2679975,4.71232222,0,0.998 +4225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.63788599,6.245072464,0,0.998 +4226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.66006309,1.134453948,0,0.998 +4227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.66486189,2.726434804,0,0.998 +4229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.32213265,0.560805287,0,0.998 +4228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.03164718,3.79840472,0,0.998 +4231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.26184412,6.866311492,0,0.998 +4232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.23825087,4.704751578,0,0.998 +4233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.45268436,4.460019606,0,0.998 +4230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.19688543,4.699349209,0,0.998 +4234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.82085903,3.018666047,0,0.998 +4235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.66286265,4.654541643,0,0.998 +4237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.45293784,3.673170943,0,0.998 +4236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.37062486,4.657152246,0,0.998 +4238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.24298042,4.579069626,0,0.998 +4239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.99479282,2.699423286,0,0.998 +4240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.04475422,7.824089962,0,0.998 +4242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.7006187,4.647332139,0,0.998 +4241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.39586171,3.140419756,0,0.998 +4243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.31675971,3.518635705,0,0.998 +4244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.64301791,5.102044972,0,0.998 +4245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.03230846,3.824307195,0,0.998 +4246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.1071291,4.919082318,0,0.998 +4247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.04607649,3.173847551,0,0.998 +4248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.64202608,4.482534544,0,0.998 +4249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.68030719,1.208699368,0,0.998 +4251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.23873882,4.640590767,0,0.998 +4250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.84248537,4.437870329,0,0.998 +4252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.2449895,3.612142685,0,0.998 +4253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.74066737,5.317281684,0,0.998 +4254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.50214987,0.898857719,0,0.998 +4256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.993745434,7.390702677,0,0.998 +4255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.37525917,3.649561377,0,0.998 +4257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.00006505,4.860432775,0,0.998 +4258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.960085388,1.746833661,0,0.998 +4259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.43540173,1.010808752,0,0.998 +4260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.54073805,4.869165487,0,0.998 +4261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.73795933,6.491557309,0,0.998 +4262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.34125941,2.875192417,0,0.998 +4263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.40482677,8.487769222,0,0.998 +4264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.18109844,4.185111122,0,0.998 +4265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.5298486,4.389984454,0,0.998 +4266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.29836805,1.344020976,0,0.998 +4269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.16497676,3.742967418,0,0.998 +4268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.951828566,1.95275288,0,0.998 +4271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.976683452,3.884387544,0,0.998 +4270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.20904866,6.264009836,0,0.998 +4267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.34151155,3.264879871,0,0.998 +4272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.5331893,0.84841959,0,0.998 +4273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.68863748,3.07123595,0,0.998 +4274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.95305753,1.96871556,0,0.998 +4276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.47877871,3.672935726,0,0.998 +4278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.46905984,4.789156858,0,0.998 +4277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.32209114,3.537746791,0,0.998 +4275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.72876223,5.124887127,0,0.998 +4280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.35869616,5.094657906,0,0.998 +4279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.53907943,6.129062519,0,0.998 +4281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.66385759,4.614405094,0,0.998 +4283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.1844063,3.46920589,0,0.998 +4282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.08379878,3.601150405,0,0.998 +4286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.54614115,4.395431303,0,0.998 +4284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.09571948,4.813442403,0,0.998 +4287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.00037266,3.931679065,0,0.998 +4285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.04287452,4.050034031,0,0.998 +4289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.923428054,3.068144709,0,0.998 +4288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.25734174,3.836024574,0,0.998 +4290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.38430012,6.372482002,0,0.998 +4291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.45100975,4.009978268,0,0.998 +4292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.30449608,4.540703593,0,0.998 +4293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.10137708,5.005629586,0,0.998 +4294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.999208355,3.362596827,0,0.998 +4295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.871544398,1.903001963,0,0.998 +4296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.54417473,2.952727822,0,0.998 +4297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.69453788,5.263965752,0,0.998 +4299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.16444856,6.021573863,0,0.998 +4298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.66036546,4.034322121,0,0.998 +4300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.59070536,3.55033075,0,0.998 +4301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.11677942,3.296164938,0,0.998 +4302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.31803635,7.213222074,0,0.998 +4303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.10472217,3.761056406,0,0.998 +4304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.3011384,2.3981761,0,0.998 +4307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.90080815,5.373095518,0,0.998 +4306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.33127625,4.65497298,0,0.998 +4308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.65382389,1.499953259,0,0.998 +4305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.33627714,4.661055122,0,0.998 +4309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.12378852,1.830404874,0,0.998 +4310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.42039382,5.029149914,0,0.998 +4311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.44669012,5.580918991,0,0.998 +4312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.7258486,6.143429325,0,0.998 +4313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.62881681,4.700268444,0,0.998 +4314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.85550397,5.42742917,0,0.998 +4315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.50623599,2.509886226,0,0.998 +4316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.2494308,5.468076054,0,0.998 +4317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.36574957,5.179997706,0,0.998 +4318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.74478041,1.849446762,0,0.998 +4319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.3365432,5.389000588,0,0.998 +4320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.55577348,2.609699298,0,0.998 +4321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.19594185,2.232317916,0,0.998 +4322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.26447594,5.498878693,0,0.998 +4323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.65847228,1.319929524,0,0.998 +4325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.30681991,3.856935917,0,0.998 +4324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.46336548,2.756406424,0,0.998 +4326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.43039433,1.938935673,0,0.998 +4327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.25740219,4.243024291,0,0.998 +4328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.7683332,3.021001515,0,0.998 +4330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.26564897,4.886734936,0,0.998 +4329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.70717225,2.630734431,0,0.998 +4331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.47872575,5.198550144,0,0.998 +4332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.11122145,4.681261469,0,0.998 +4333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.13665328,5.162756179,0,0.998 +4334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.22049646,3.23005512,0,0.998 +4335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.65564994,2.528314729,0,0.998 +4336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.972306204,4.429488974,0,0.998 +4338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.64810116,4.177020157,0,0.998 +4337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.28249776,0.404054853,0,0.998 +4339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.29389513,2.54068029,0,0.998 +4340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.64494093,2.681689492,0,0.998 +4341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.14290527,4.691661729,0,0.998 +4342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.27417612,5.082469839,0,0.998 +4343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.70450125,2.606496837,0,0.998 +4344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.17243338,2.885632376,0,0.998 +4345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.73245941,2.867973038,0,0.998 +4346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.0048036,3.935428367,0,0.998 +4347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.01340645,4.125099529,0,0.998 +4348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.65180399,2.891596879,0,0.998 +4350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.76201927,5.116970604,0,0.998 +4351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.50144727,4.083360436,0,0.998 +4349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.77760772,3.382592147,0,0.998 +4352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.50245616,5.285687238,0,0.998 +4353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.84960001,3.738597443,0,0.998 +4354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.38243959,2.184307225,0,0.998 +4355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.990345498,5.671834351,0,0.998 +4356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.4504361,5.367354459,0,0.998 +4357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.3877883,3.92684409,0,0.998 +4358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.11710403,1.832953541,0,0.998 +4359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.38002068,4.946699329,0,0.998 +4360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.50439828,4.746089856,0,0.998 +4361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.77055772,3.333144953,0,0.998 +4362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.895199075,4.417746798,0,0.998 +4363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.5216215,1.872153617,0,0.998 +4364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.50131859,5.516836685,0,0.998 +4365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.02822217,3.866422031,0,0.998 +4366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.39187527,3.437911459,0,0.998 +4368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.31475259,2.09030279,0,0.998 +4367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.06025583,3.997851766,0,0.998 +4369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.95079261,7.141146956,0,0.998 +4370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.31650698,2.020162995,0,0.998 +4371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.02854878,4.211056973,0,0.998 +4372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.13475674,5.314778845,0,0.998 +4373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.48713837,4.857369681,0,0.998 +4374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.29196463,2.528482866,0,0.998 +4375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.37902137,3.44500442,0,0.998 +4376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.62203846,3.268076991,0,0.998 +4377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.55052532,5.554459615,0,0.998 +4378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.31882878,4.597279209,0,0.998 +4380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.03723054,4.453648745,0,0.998 +4379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.914985263,4.529833187,0,0.998 +4381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.76478854,3.524594592,0,0.998 +4382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.60731897,1.436948141,0,0.998 +4383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.84139237,6.309434863,0,0.998 +4385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.74140896,5.370450069,0,0.998 +4386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.24430542,3.735385743,0,0.998 +4384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.2608984,3.155296669,0,0.998 +4387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.31503571,6.37344463,0,0.998 +4388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.80313302,3.633921569,0,0.998 +4389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.885591978,2.525699853,0,0.998 +4390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.62940933,2.781722585,0,0.998 +4391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.11065634,4.945405215,0,0.998 +4392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.963925312,2.971486047,0,0.998 +4393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.544607,3.886115315,0,0.998 +4394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.4387847,4.709593593,0,0.998 +4395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.12734501,3.011875692,0,0.998 +4396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.7009123,4.223359128,0,0.998 +4397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.916683047,3.900652708,0,0.998 +4398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.27897251,3.257480963,0,0.998 +4399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.77645898,3.866920745,0,0.998 +4400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.31260407,4.134974693,0,0.998 +4401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.0954847,4.20204188,0,0.998 +4402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.71752595,1.695574932,0,0.998 +4403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.47503809,4.016489157,0,0.998 +4404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.989724619,3.207013497,0,0.998 +4405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.999618528,4.537230133,0,0.998 +4406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.12077377,2.416962876,0,0.998 +4407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.66423569,4.051852062,0,0.998 +4408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.56099756,3.954232326,0,0.998 +4409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.74733072,2.827732994,0,0.998 +4411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.31490344,2.211996544,0,0.998 +4410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.6807185,2.956697082,0,0.998 +4412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.28437219,1.928460427,0,0.998 +4413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.49612975,4.697660452,0,0.998 +4414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.3782983,5.159971066,0,0.998 +4415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.5975288,3.654297171,0,0.998 +4417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.04638433,2.048662513,0,0.998 +4416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.50872911,3.503074694,0,0.998 +4418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.71788142,6.253212499,0,0.998 +4421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.65857207,4.860034051,0,0.998 +4419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.51059198,4.315634809,0,0.998 +4420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.24797114,5.628915121,0,0.998 +4422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.66945805,8.20015717,0,0.998 +4423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.68693278,6.552722781,0,0.998 +4424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.67310542,3.961230999,0,0.998 +4425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.17045241,3.805672103,0,0.998 +4426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.08798754,6.372430702,0,0.998 +4427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.71951455,5.425002398,0,0.998 +4429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.79187665,3.987779258,0,0.998 +4428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.64035233,5.047417958,0,0.998 +4430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.995204241,3.900601935,0,0.998 +4431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.57489697,5.886549255,0,0.998 +4433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.27096701,3.678011291,0,0.998 +4432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.28592825,5.520534596,0,0.998 +4434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.65992276,3.060223476,0,0.998 +4435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.979401129,3.475760514,0,0.998 +4436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.22599356,3.038466581,0,0.998 +4438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.36939243,2.303945205,0,0.998 +4437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.21912684,2.358497022,0,0.998 +4439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.0687756,2.596562909,0,0.998 +4440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.66586091,5.805182461,0,0.998 +4441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.899606721,4.174742476,0,0.998 +4442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.5881113,5.684012593,0,0.998 +4443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.18459958,4.556639723,0,0.998 +4444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.962330413,4.105246298,0,0.998 +4445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.989398695,4.205507366,0,0.998 +4447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.15159739,2.153123908,0,0.998 +4448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.04838727,2.344963075,0,0.998 +4446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.52837371,5.171300506,0,0.998 +4449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.46070693,3.320481408,0,0.998 +4450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.66929023,3.073197283,0,0.998 +4451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.21851283,4.352143301,0,0.998 +4452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.4559571,3.043317574,0,0.998 +4453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.44239901,3.822904187,0,0.998 +4454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.32001033,3.861081954,0,0.998 +4455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.16970052,1.176981958,0,0.998 +4456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.57710522,2.71800533,0,0.998 +4457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.43589111,3.741452385,0,0.998 +4458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.15424078,3.813383468,0,0.998 +4459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.70297597,4.38632707,0,0.998 +4460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.50179217,5.323172392,0,0.998 +4461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.48202068,3.664309642,0,0.998 +4462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.971089312,2.568489165,0,0.998 +4463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.02290965,3.6697945,0,0.998 +4464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.7373846,3.884903155,0,0.998 +4465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.946004733,2.403029142,0,0.998 +4466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.56140419,2.623099885,0,0.998 +4467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.5528585,2.660350222,0,0.998 +4468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.63661913,2.913715222,0,0.998 +4469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.14054221,4.521069155,0,0.998 +4471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.08987065,3.036703991,0,0.998 +4470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.14505671,2.627931878,0,0.998 +4472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.71893235,3.913680642,0,0.998 +4473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.988785681,2.913897494,0,0.998 +4474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.31322303,4.989493426,0,0.998 +4475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.919632377,3.451646816,0,0.998 +4476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.54300807,4.176736919,0,0.998 +4477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.950337582,6.280920582,0,0.998 +4478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.57061481,3.268977775,0,0.998 +4479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.77243571,4.803199534,0,0.998 +4481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.47027765,3.045434332,0,0.998 +4480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.28402415,6.260724848,0,0.998 +4482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.06569425,5.294363692,0,0.998 +4483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.48198652,4.648228789,0,0.998 +4484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.7125067,5.147818721,0,0.998 +4485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.27798026,4.679258044,0,0.998 +4486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.25370304,4.366837377,0,0.998 +4487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.30976763,1.356784262,0,0.998 +4488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.23945891,5.012638589,0,0.998 +4489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.07720868,2.478733101,0,0.998 +4490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.38617366,3.524629578,0,0.998 +4491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.61086013,5.65401232,0,0.998 +4493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.62776247,4.835476622,0,0.998 +4492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.16486575,2.241014365,0,0.998 +4494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.08098588,5.666553255,0,0.998 +4495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.03565297,5.108375851,0,0.998 +4496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.74357757,3.095087862,0,0.998 +4498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.62146031,3.337214987,0,0.998 +4497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.31213033,1.974611167,0,0.998 +4499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.30747869,2.546973722,0,0.998 +4501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.6654058,2.412705698,0,0.998 +4500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.08451619,2.483586027,0,0.998 +4502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.53490537,3.301031892,0,0.998 +4503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.966512312,4.705951672,0,0.998 +4504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.20104958,5.631497724,0,0.998 +4505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.21284038,2.049154875,0,0.998 +4506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.60300042,2.629424907,0,0.998 +4507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.14719194,5.487260265,0,0.998 +4508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.14944567,2.906146694,0,0.998 +4509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.52312848,2.177532923,0,0.998 +4510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.34406792,2.796142938,0,0.998 +4511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.05476595,7.640274185,0,0.998 +4512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.75154544,2.61954586,0,0.998 +4513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.42818975,3.573032038,0,0.998 +4514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.59363743,3.081053757,0,0.998 +4515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.976364062,3.272758178,0,0.998 +4516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.22197429,5.234288774,0,0.998 +4517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.40159599,4.426584062,0,0.998 +4518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.33981425,5.621833341,0,0.998 +4519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.78282769,4.224485803,0,0.998 +4520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.422074,1.429598056,0,0.998 +4521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.44842976,0.688938605,0,0.998 +4523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.33417411,2.334318922,0,0.998 +4522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.77363831,3.32202089,0,0.998 +4524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.15809017,4.227201298,0,0.998 +4525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.58877573,2.164209894,0,0.998 +4526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.21067519,4.040810428,0,0.998 +4527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.03589841,2.740317563,0,0.998 +4528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.16214201,3.008907567,0,0.998 +4529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.59555932,2.146131854,0,0.998 +4530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.76897884,5.33296289,0,0.998 +4531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.16966552,3.126984616,0,0.998 +4533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.83573908,2.993182137,0,0.998 +4534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.21795831,4.366646388,0,0.998 +4532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.55564874,3.441763393,0,0.998 +4535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.70689273,2.122449217,0,0.998 +4536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.86302687,4.225947455,0,0.998 +4538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.55211347,5.742057095,0,0.998 +4537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.05623767,4.307732398,0,0.998 +4541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.53302127,4.135460387,0,0.998 +4540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.11320879,1.806212324,0,0.998 +4539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.49689546,4.137065723,0,0.998 +4542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.23971184,5.933325607,0,0.998 +4543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.17949601,2.996973552,0,0.998 +4544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.994658798,6.232888816,0,0.998 +4546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.44109805,0.709609784,0,0.998 +4545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.11341825,6.424725553,0,0.998 +4548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.76559211,4.577473189,0,0.998 +4547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.23898049,4.149272066,0,0.998 +4551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.36901052,3.23422021,0,0.998 +4549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.27978606,6.089564607,0,0.998 +4550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.36933425,5.131385251,0,0.998 +4552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.81316323,4.942769345,0,0.998 +4553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.36509834,4.536742648,0,0.998 +4554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.40485137,2.187743456,0,0.998 +4556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.32091995,1.549108142,0,0.998 +4555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.28430297,4.581947503,0,0.998 +4557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.36522096,4.106560855,0,0.998 +4559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.43764178,4.706163721,0,0.998 +4560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.56582919,2.580804134,0,0.998 +4558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.948180257,4.293141062,0,0.998 +4561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.41931509,3.897718605,0,0.998 +4562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.00910377,3.609973898,0,0.998 +4563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.77042317,6.345042804,0,0.998 +4564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.17170664,3.789399725,0,0.998 +4565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.46284151,4.858219445,0,0.998 +4567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.890625032,1.963927427,0,0.998 +4566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.984990765,4.700020156,0,0.998 +4568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.17120077,2.795649779,0,0.998 +4569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.28760571,5.474165894,0,0.998 +4570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.11953433,3.247510806,0,0.998 +4571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.07930812,4.655501795,0,0.998 +4573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.38612299,4.418292335,0,0.998 +4572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.61374266,7.546377637,0,0.998 +4574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.79243737,5.428143915,0,0.998 +4575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.79112577,3.863688923,0,0.998 +4576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.43656484,2.308939463,0,0.998 +4577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.990733959,6.3046713,0,0.998 +4579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.09021047,3.450474497,0,0.998 +4581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.32794085,4.874143965,0,0.998 +4582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.978467524,3.624385322,0,0.998 +4578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.80404658,2.016645381,0,0.998 +4580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.79263241,5.247276114,0,0.998 +4583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.40809449,3.569158013,0,0.998 +4584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.975823158,3.240579573,0,0.998 +4586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.67199241,4.533860522,0,0.998 +4585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.11547897,1.600980878,0,0.998 +4587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.59097146,5.140633999,0,0.998 +4589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.62624035,2.727258455,0,0.998 +4590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.69277023,4.15220869,0,0.998 +4588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.06954222,3.816016394,0,0.998 +4591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.60543573,1.044973872,0,0.998 +4592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.61885954,6.155860383,0,0.998 +4593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.69082653,3.163230686,0,0.998 +4595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.63344456,5.021680607,0,0.998 +4594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.05692905,3.27056775,0,0.998 +4596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.71973561,3.382631873,0,0.998 +4597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.77311,2.847200952,0,0.998 +4598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.31447748,3.149425718,0,0.998 +4600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.26781961,4.039488816,0,0.998 +4599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.984788823,6.050511297,0,0.998 +4601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.47047508,5.113057803,0,0.998 +4602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.53334753,3.942967539,0,0.998 +4605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.70368276,4.933785444,0,0.998 +4604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.63454162,5.17328339,0,0.998 +4607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.57499216,2.747376618,0,0.998 +4606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.26439015,2.926004037,0,0.998 +4603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.50157145,2.564555898,0,0.998 +4608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.04969268,2.553552594,0,0.998 +4609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.33171329,1.76378447,0,0.998 +4611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.51811484,8.123480425,0,0.998 +4610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.18066821,3.956609883,0,0.998 +4612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.21298991,5.994839287,0,0.998 +4614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.47107386,6.424900219,0,0.998 +4613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.62915953,6.130642975,0,0.998 +4616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.955575673,2.550114369,0,0.998 +4615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.54960944,6.148247362,0,0.998 +4617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.52697635,4.331933552,0,0.998 +4619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.68274537,5.733835357,0,0.998 +4618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.20943457,2.943956608,0,0.998 +4620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.48763427,3.760763454,0,0.998 +4621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.23616987,3.769283898,0,0.998 +4622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.82877478,0.070896696,0,0.998 +4624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.28758567,4.747070185,0,0.998 +4626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.33905049,3.464897069,0,0.998 +4625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.28965779,4.747972969,0,0.998 +4623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.72092869,4.372929388,0,0.998 +4628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.2011348,3.44148677,0,0.998 +4627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.00095692,2.426492781,0,0.998 +4629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.32580075,5.544942115,0,0.998 +4630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.00524045,7.370101224,0,0.998 +4631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.37309298,3.448098739,0,0.998 +4633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.47389281,4.554755812,0,0.998 +4632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.42294421,0.754190685,0,0.998 +4634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.46149396,5.442493122,0,0.998 +4635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.15391654,2.177650426,0,0.998 +4637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.04560284,4.018532652,0,0.998 +4636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.75996846,3.37271138,0,0.998 +4638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.38098522,2.817669459,0,0.998 +4639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.73524951,-0.124062888,0,0.998 +4641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.58973841,4.901591451,0,0.998 +4640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.69885164,2.384275113,0,0.998 +4643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.43706338,4.934347993,0,0.998 +4644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.07541906,2.899267702,0,0.998 +4642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.959332686,4.597571008,0,0.998 +4645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.4474897,3.108892767,0,0.998 +4647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.42298569,4.903578585,0,0.998 +4646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.34328389,5.854908818,0,0.998 +4650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.67041149,4.039625761,0,0.998 +4649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.27740659,4.911864293,0,0.998 +4648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.76120353,2.634344582,0,0.998 +4652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.46170664,0.997347348,0,0.998 +4653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.22759164,5.635753168,0,0.998 +4651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.57864357,2.325204083,0,0.998 +4655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.19061138,6.50505348,0,0.998 +4654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.45041413,3.142061171,0,0.998 +4657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.08042526,3.780391885,0,0.998 +4656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.29638409,4.279467102,0,0.998 +4658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.28741616,2.044670254,0,0.998 +4659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.02783553,3.498694416,0,0.998 +4660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.43815185,3.28372178,0,0.998 +4661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.261565,2.808243496,0,0.998 +4662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.34084312,4.100975378,0,0.998 +4664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.983529962,3.788583692,0,0.998 +4665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.63028829,2.522671827,0,0.998 +4663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.028297,2.636497731,0,0.998 +4666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.68469036,4.708071167,0,0.998 +4667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.83238864,2.303529864,0,0.998 +4668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.57740521,5.671852165,0,0.998 +4669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.03169908,3.980152866,0,0.998 +4670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.75584596,2.762085334,0,0.998 +4671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.71855181,5.044256325,0,0.998 +4674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.32243404,3.930210376,0,0.998 +4673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.56535818,4.870068062,0,0.998 +4676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.7124145,4.358544657,0,0.998 +4675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.17058333,2.222727039,0,0.998 +4672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.10179311,6.149782741,0,0.998 +4678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.39422496,2.49720918,0,0.998 +4679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.06705304,5.730726712,0,0.998 +4677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.66360105,2.121931751,0,0.998 +4681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.29145086,4.466258876,0,0.998 +4680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.12482449,2.397944793,0,0.998 +4683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.1058002,2.389031919,0,0.998 +4684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.48745398,2.764725433,0,0.998 +4682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.62429834,5.444526231,0,0.998 +4685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.60207451,3.217672723,0,0.998 +4686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.00264993,2.627433555,0,0.998 +4688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.59751748,2.518895512,0,0.998 +4689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.84107192,3.816534115,0,0.998 +4690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.36592979,6.72852219,0,0.998 +4687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.65916862,5.976956714,0,0.998 +4691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.30223221,3.158279468,0,0.998 +4692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.75880535,1.432852004,0,0.998 +4693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.61876525,4.771791294,0,0.998 +4694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.51189244,3.661429606,0,0.998 +4695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.13547735,6.21206756,0,0.998 +4697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.07086341,4.632412434,0,0.998 +4698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.38104507,4.458039184,0,0.998 +4696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.56562544,2.004182243,0,0.998 +4700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.21193105,3.368842272,0,0.998 +4699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.16700896,2.129174166,0,0.998 +4702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.35866025,3.123191386,0,0.998 +4701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.76957137,4.168973327,0,0.998 +4703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.82454696,1.709231762,0,0.998 +4704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.04501657,5.782583752,0,0.998 +4706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.42587723,7.4199218,0,0.998 +4707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.93061922,4.413415467,0,0.998 +4705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.27348484,5.742946736,0,0.998 +4708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.59396677,6.006686269,0,0.998 +4709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.2594691,7.536318853,0,0.998 +4710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.76078774,2.110319156,0,0.998 +4712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.02177717,3.183630912,0,0.998 +4714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.27955604,4.455050758,0,0.998 +4713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.34513724,4.939187825,0,0.998 +4711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.63178785,6.107463381,0,0.998 +4716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.32063671,3.50957728,0,0.998 +4717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.56707998,4.231625569,0,0.998 +4718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.08423397,4.273419637,0,0.998 +4715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.4260196,1.384896668,0,0.998 +4720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.57923359,2.127470386,0,0.998 +4721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.66394494,3.112760254,0,0.998 +4719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.41458893,4.79196647,0,0.998 +4722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.05394775,7.130328005,0,0.998 +4724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.12159541,4.131547755,0,0.998 +4723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.77764488,4.576446127,0,0.998 +4725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.4649599,4.088858381,0,0.998 +4726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.86616126,4.961043991,0,0.998 +4729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.5025001,3.843417408,0,0.998 +4727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.46573536,5.917641152,0,0.998 +4728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.959584538,3.54216198,0,0.998 +4730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.09402647,3.657473147,0,0.998 +4731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.949516627,3.382957833,0,0.998 +4732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.79045882,6.1322319,0,0.998 +4733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.48459661,2.387451037,0,0.998 +4735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.989043187,3.490190537,0,0.998 +4736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.28012771,4.410446922,0,0.998 +4738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.10787941,7.243664149,0,0.998 +4734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.25649762,4.621190601,0,0.998 +4737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.60702078,1.333546081,0,0.998 +4740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.34914073,5.403042981,0,0.998 +4739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.56990592,4.801035288,0,0.998 +4741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.12033108,2.65857333,0,0.998 +4743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.29479085,3.8175666,0,0.998 +4742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.40643075,3.806708909,0,0.998 +4745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.44151194,4.46420525,0,0.998 +4746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.34789482,5.536730814,0,0.998 +4744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.59426725,6.448329537,0,0.998 +4747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.16595265,3.271169405,0,0.998 +4748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.29834329,2.337991255,0,0.998 +4749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.41827577,6.584444805,0,0.998 +4750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.71212761,3.782375259,0,0.998 +4751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.15198879,3.421422272,0,0.998 +4754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.14806912,5.806086861,0,0.998 +4753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.927861636,2.947839777,0,0.998 +4755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.44161059,2.022095679,0,0.998 +4756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.22136564,1.872930363,0,0.998 +4757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.01252977,8.91848914,0,0.998 +4752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.15428469,2.020956934,0,0.998 +4758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.24369219,1.890637462,0,0.998 +4759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.16399471,3.40602707,0,0.998 +4761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.6320167,2.423937264,0,0.998 +4762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.01938786,6.419247421,0,0.998 +4760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.55899824,0.93668382,0,0.998 +4764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.31840437,4.204700871,0,0.998 +4766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.38443294,3.680824449,0,0.998 +4763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.26264482,4.484779067,0,0.998 +4765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.39419048,7.69209675,0,0.998 +4767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.19348727,1.893712718,0,0.998 +4769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.52180248,3.453109208,0,0.998 +4768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.64409051,4.740458903,0,0.998 +4770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.61578997,2.101275217,0,0.998 +4771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.48242925,4.071707876,0,0.998 +4772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.37056042,4.057431141,0,0.998 +4773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.42093443,5.983252304,0,0.998 +4775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.14239015,4.285824557,0,0.998 +4776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.65976856,4.287579771,0,0.998 +4777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.1224714,5.961831385,0,0.998 +4774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.21478064,2.964595053,0,0.998 +4778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.971092289,3.653825742,0,0.998 +4779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.969584185,3.976568562,0,0.998 +4780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.28652614,4.669312088,0,0.998 +4781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.54395412,0.635373768,0,0.998 +4782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.996342403,2.210671506,0,0.998 +4783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.66178343,3.760892197,0,0.998 +4785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.72207588,4.925170076,0,0.998 +4784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.81706176,5.842371859,0,0.998 +4787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.01831977,4.099471801,0,0.998 +4786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.74911043,2.589726524,0,0.998 +4788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.77835002,3.792723247,0,0.998 +4790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.06321565,1.91050655,0,0.998 +4789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.58421119,4.918779245,0,0.998 +4791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.46453729,3.571884671,0,0.998 +4793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.00132801,6.005512261,0,0.998 +4794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.893097963,1.235838884,0,0.998 +4795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.56323827,2.663072222,0,0.998 +4796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.48129975,2.81136103,0,0.998 +4792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.02841464,2.000731089,0,0.998 +4799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.47304651,5.888645604,0,0.998 +4798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.75926122,8.903213618,0,0.998 +4797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.66192114,4.147014361,0,0.998 +4800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.39994064,3.920605856,0,0.998 +4801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.03845445,6.125629404,0,0.998 +4803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.12236482,3.560505458,0,0.998 +4802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.68575137,0.842561094,0,0.998 +4804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.09332439,3.988724905,0,0.998 +4805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.20311701,4.647182986,0,0.998 +4806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.08278732,4.488308238,0,0.998 +4807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.39192247,1.883346294,0,0.998 +4808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.60952055,4.774483881,0,0.998 +4809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.63876832,2.080445322,0,0.998 +4810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.06512275,4.479591649,0,0.998 +4811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.66402708,2.254661644,0,0.998 +4814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.41830345,5.06300205,0,0.998 +4813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.966389016,2.225132931,0,0.998 +4812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.84029078,3.759836308,0,0.998 +4816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.64207402,7.194185849,0,0.998 +4817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.11253563,1.936375201,0,0.998 +4815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.00871011,2.735213078,0,0.998 +4818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.43123921,4.863937353,0,0.998 +4819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.79316804,4.650391422,0,0.998 +4821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.60448665,5.064943313,0,0.998 +4820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.4858228,4.325779351,0,0.998 +4822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.58720256,1.58967015,0,0.998 +4823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.22809984,3.724511508,0,0.998 +4825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.34199203,3.668259087,0,0.998 +4824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.29167099,1.486275183,0,0.998 +4826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.30652362,3.79288759,0,0.998 +4827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.0074666,2.989470614,0,0.998 +4828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.39012656,2.592047493,0,0.998 +4829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.53030957,4.76808709,0,0.998 +4831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.34048312,3.722709933,0,0.998 +4833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.48684087,6.548552466,0,0.998 +4834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.5156925,5.428841819,0,0.998 +4832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.44772436,4.447997558,0,0.998 +4830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.62700228,4.50155168,0,0.998 +4835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.68279984,5.389756425,0,0.998 +4837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.0384251,3.020670271,0,0.998 +4836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.7428012,4.060006807,0,0.998 +4838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.73455073,6.751147659,0,0.998 +4840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.45246378,4.002958444,0,0.998 +4841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.08676773,0.324011027,0,0.998 +4839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.18084734,4.144280725,0,0.998 +4842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.07069255,2.375530373,0,0.998 +4843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.30329228,4.646912038,0,0.998 +4844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.41143244,3.58430032,0,0.998 +4845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.7494552,3.003812714,0,0.998 +4846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.95210322,7.122296053,0,0.998 +4847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.37185954,5.86696828,0,0.998 +4848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.07525786,3.501210797,0,0.998 +4849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.04430904,3.444549635,0,0.998 +4851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.10161583,4.550015622,0,0.998 +4852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.36121547,3.383147472,0,0.998 +4853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.60235909,3.566391247,0,0.998 +4850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.59633599,2.874291562,0,0.998 +4855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.59621119,3.045844345,0,0.998 +4856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.44421014,6.205851302,0,0.998 +4854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.32966875,4.019441915,0,0.998 +4857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.62323774,5.258587014,0,0.998 +4859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.13911545,3.870329073,0,0.998 +4860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.66220375,5.519284794,0,0.998 +4858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.15043374,5.484797652,0,0.998 +4861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.59981897,6.054799893,0,0.998 +4862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.76651731,3.853584919,0,0.998 +4863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.70407738,3.564244287,0,0.998 +4864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.2061931,5.303731224,0,0.998 +4865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.39215928,4.056331184,0,0.998 +4866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.4591011,5.219001634,0,0.998 +4867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.62426046,1.903445939,0,0.998 +4868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.63848981,3.42237693,0,0.998 +4872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.885628081,3.788617111,0,0.998 +4873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.0907356,6.96657927,0,0.998 +4870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.72633759,2.885308232,0,0.998 +4874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.31635128,4.724922285,0,0.998 +4875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.21334308,3.782949562,0,0.998 +4871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.76137493,5.091717451,0,0.998 +4869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.12059987,3.244965325,0,0.998 +4876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.56537757,4.639994511,0,0.998 +4879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.03585596,0.786806612,0,0.998 +4880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.52743284,1.297348599,0,0.998 +4877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.980907448,3.182046832,0,0.998 +4878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.6148092,2.973682684,0,0.998 +4882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.73711062,4.377088916,0,0.998 +4881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.42442767,3.332486536,0,0.998 +4883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.62892444,4.65096247,0,0.998 +4884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.70829479,5.175019686,0,0.998 +4886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.03984752,3.383945817,0,0.998 +4885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.48242402,2.706201563,0,0.998 +4888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.26096521,5.594952275,0,0.998 +4890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.8449429,2.590734687,0,0.998 +4887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.62769531,4.971942835,0,0.998 +4889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.7289098,4.606665959,0,0.998 +4891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.20361183,1.929145975,0,0.998 +4894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.16349494,4.578064924,0,0.998 +4892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.10453105,1.703455281,0,0.998 +4893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.04518424,8.01587542,0,0.998 +4895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.47808654,1.428215788,0,0.998 +4896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.3093134,4.997788509,0,0.998 +4897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.4459625,3.681917451,0,0.998 +4898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.63055873,5.076569878,0,0.998 +4899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.23811598,0.948510257,0,0.998 +4900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.09496092,4.826863958,0,0.998 +4901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.00349504,4.431673936,0,0.998 +4903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.65258738,2.857359446,0,0.998 +4902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.20823644,2.93545602,0,0.998 +4904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.21013896,3.713643875,0,0.998 +4905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.7423864,3.612308648,0,0.998 +4906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.37898966,2.391749602,0,0.998 +4908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.15619814,3.227574041,0,0.998 +4907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.17197659,3.060867067,0,0.998 +4909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.20891821,2.2402643,0,0.998 +4910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.93887309,4.246633544,0,0.998 +4913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.51233668,4.414703531,0,0.998 +4911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.940688242,3.165084422,0,0.998 +4912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.76134027,5.870100229,0,0.998 +4914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.50215769,2.544792653,0,0.998 +4916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.68170519,6.157688088,0,0.998 +4917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.66733319,2.854938279,0,0.998 +4915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.71146694,2.876416682,0,0.998 +4918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.81644637,4.169202177,0,0.998 +4919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.09083764,3.100754716,0,0.998 +4920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.43591492,2.796160288,0,0.998 +4921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.03371997,4.235235769,0,0.998 +4922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.7086258,3.106254145,0,0.998 +4924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.42558441,3.65882192,0,0.998 +4926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.73648353,3.824031034,0,0.998 +4927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.00473753,3.957460958,0,0.998 +4929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.16990021,4.459781833,0,0.998 +4925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.62173271,2.595251092,0,0.998 +4928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.969312105,5.99422596,0,0.998 +4923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.36471747,3.757527239,0,0.998 +4930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.31448495,6.075631378,0,0.998 +4932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.49538105,1.847139745,0,0.998 +4933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.16474754,2.320934396,0,0.998 +4931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.04057679,3.565423325,0,0.998 +4934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.62505941,4.984004244,0,0.998 +4935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.28771558,3.765102734,0,0.998 +4936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.67766835,3.270575621,0,0.998 +4937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.78602722,2.837602356,0,0.998 +4938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.980243299,4.552438809,0,0.998 +4939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.3855878,6.511331515,0,0.998 +4940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.62975341,3.215456418,0,0.998 +4941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.27087795,1.963260575,0,0.998 +4943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.88430157,0.769997449,0,0.998 +4944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.43564471,3.537836909,0,0.998 +4942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.62127839,3.965794067,0,0.998 +4945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.17311686,5.522912672,0,0.998 +4948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.69506143,4.860135964,0,0.998 +4947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.59481838,3.815594967,0,0.998 +4946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.6999515,5.105729122,0,0.998 +4950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.23486373,4.072142791,0,0.998 +4951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.11812318,1.232062345,0,0.998 +4952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.79731539,0.829845762,0,0.998 +4949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.60307315,3.872624855,0,0.998 +4954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.49484423,5.281895482,0,0.998 +4955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.53829397,1.546852709,0,0.998 +4953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.43661645,2.677165822,0,0.998 +4957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.23194304,5.739287465,0,0.998 +4956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.11134101,4.298913968,0,0.998 +4958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.970199157,3.6929191,0,0.998 +4959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.56305318,0.690208903,0,0.998 +4960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.33024503,7.28215054,0,0.998 +4962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.70068873,5.341774884,0,0.998 +4964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.21229079,4.545866311,0,0.998 +4965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.5130954,2.288532264,0,0.998 +4961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.01504578,5.907229765,0,0.998 +4963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.40832616,2.365687892,0,0.998 +4967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.10313311,5.022158534,0,0.998 +4968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.63144918,7.101315043,0,0.998 +4966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.68846405,2.345628035,0,0.998 +4969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.990385304,3.181258715,0,0.998 +4970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.23396194,4.0558424,0,0.998 +4971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.865165004,3.85771232,0,0.998 +4972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.39644449,4.641461277,0,0.998 +4974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.04874537,5.064113619,0,0.998 +4976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.47404293,3.485426219,0,0.998 +4973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.34406122,3.45631019,0,0.998 +4975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.29711743,4.482785147,0,0.998 +4978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.33280643,6.622304815,0,0.998 +4977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.30105827,1.304822614,0,0.998 +4980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.952308143,5.61902287,0,0.998 +4979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.08101519,8.03723889,0,0.998 +4981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.30790312,4.664411629,0,0.998 +4983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.23776228,5.00887818,0,0.998 +4982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.30745677,2.922596695,0,0.998 +4984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.28644831,2.560569427,0,0.998 +4985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.68912988,4.312419472,0,0.998 +4986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.38966366,4.643626468,0,0.998 +4988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.44086499,1.052471116,0,0.998 +4987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.48922738,6.003245619,0,0.998 +4991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.22771662,0.954225574,0,0.998 +4989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.5887536,4.225186541,0,0.998 +4990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.62178631,5.759334851,0,0.998 +4992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.45807648,2.636738313,0,0.998 +4993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-9.937910764,5.697012098,0,0.998 +4994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.08984432,3.96535493,0,0.998 +4995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.11640993,3.499958841,0,0.998 +4996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.18305072,1.387194418,0,0.998 +4997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.09885284,3.922857119,0,0.998 +4999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.00348367,3.301806914,0,0.998 +4998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.60758421,2.443416746,0,0.998 +5000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.2,10,1,-10.40463362,4.022109221,0,0.998 +5001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.78324746,0.891698464,0,0.975 +5003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.45226705,4.39255737,0,0.975 +5002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.976420932,3.024095461,0,0.975 +5004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.11484938,3.310427714,0,0.975 +5006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.73073627,1.769915478,0,0.975 +5007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.974548734,0.958998395,0,0.975 +5005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.72050105,0.07631958,0,0.975 +5009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.2284344,1.167025738,0,0.975 +5008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.5343371,3.312878072,0,0.975 +5011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.52174313,1.344248725,0,0.975 +5010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.87123082,3.95384184,0,0.975 +5012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.31833955,5.684301877,0,0.975 +5014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.56037336,7.884962589,0,0.975 +5013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.14900972,2.955137757,0,0.975 +5015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.24142092,4.41793621,0,0.975 +5016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.11526405,5.430636977,0,0.975 +5020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.5779426,2.733369639,0,0.975 +5019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.64104696,1.459941255,0,0.975 +5022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.08225538,3.519505136,0,0.975 +5018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.84012989,2.188482226,0,0.975 +5023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.31172403,3.026119184,0,0.975 +5021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.79203602,2.454650087,0,0.975 +5024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.81495838,2.363065992,0,0.975 +5017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.995132132,1.177877622,0,0.975 +5025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.4149531,5.06126505,0,0.975 +5026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.52605576,3.69974365,0,0.975 +5028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.54076643,3.08903704,0,0.975 +5029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.1244265,2.230128867,0,0.975 +5030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.13823661,6.208147155,0,0.975 +5027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.29022397,4.961526445,0,0.975 +5031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.14411001,4.135011235,0,0.975 +5032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.37921725,4.459924573,0,0.975 +5033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.55835093,1.009474093,0,0.975 +5035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.55423436,2.861590989,0,0.975 +5036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.21720622,4.735127803,0,0.975 +5034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.25408388,6.076190374,0,0.975 +5037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.46146942,4.927618378,0,0.975 +5038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.960248873,3.136234052,0,0.975 +5039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.09006013,4.391534892,0,0.975 +5040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.66852995,5.365653296,0,0.975 +5042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.8251579,4.672930295,0,0.975 +5041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.908294409,1.410856144,0,0.975 +5044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.01378324,2.922446615,0,0.975 +5045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.46458189,5.253416233,0,0.975 +5047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.79292552,0.012375325,0,0.975 +5046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.61202867,1.006944968,0,0.975 +5043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.44537991,4.611417442,0,0.975 +5048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.12567815,6.918133946,0,0.975 +5049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.66103368,3.657787891,0,0.975 +5050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.77982387,3.536346076,0,0.975 +5053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.22806534,6.198344007,0,0.975 +5052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.58715287,1.187612172,0,0.975 +5051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.37340363,4.660146623,0,0.975 +5054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.36233535,3.002493155,0,0.975 +5055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.76287032,1.859070533,0,0.975 +5058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.69065928,5.784187813,0,0.975 +5059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.79873904,1.548213891,0,0.975 +5056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.47953883,3.306569743,0,0.975 +5060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.57363573,3.867982289,0,0.975 +5061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.75397404,4.141279319,0,0.975 +5057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.7133513,3.134856164,0,0.975 +5062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.0068788,8.240348765,0,0.975 +5063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.04975325,4.064839578,0,0.975 +5064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.00698365,2.850127724,0,0.975 +5068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.39915992,2.768522354,0,0.975 +5065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.03185633,1.751730153,0,0.975 +5066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.14898908,1.424619261,0,0.975 +5067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.02258664,5.545022924,0,0.975 +5069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.06775323,2.224589914,0,0.975 +5070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.44913825,4.63993616,0,0.975 +5071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.50610904,1.233523088,0,0.975 +5072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.13263888,0.706555565,0,0.975 +5073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.01131773,0.35117274,0,0.975 +5074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.61227226,3.467804748,0,0.975 +5076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.67407467,0.868262924,0,0.975 +5077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.67428359,2.979334573,0,0.975 +5078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.06526081,3.633028794,0,0.975 +5075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.931337734,5.401619026,0,0.975 +5080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.01414553,2.864438129,0,0.975 +5079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.74158078,4.02911572,0,0.975 +5081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.23873576,1.646578988,0,0.975 +5082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.19200616,1.769590201,0,0.975 +5083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.13512735,3.136749097,0,0.975 +5085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.53923173,4.927430373,0,0.975 +5087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.48961179,2.10513938,0,0.975 +5084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.69854872,3.349240382,0,0.975 +5088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.0858653,2.329531771,0,0.975 +5086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.03575686,3.259476129,0,0.975 +5090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.73946725,1.917841926,0,0.975 +5089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.40760873,1.124176315,0,0.975 +5091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.41012007,5.365285293,0,0.975 +5092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.05725815,1.00453742,0,0.975 +5094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.3312999,5.715029493,0,0.975 +5095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.76141523,2.491711765,0,0.975 +5093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.50061247,5.262477026,0,0.975 +5097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.32158508,5.640216599,0,0.975 +5098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.45566249,4.205008588,0,0.975 +5099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.61473208,4.072881457,0,0.975 +5100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.74919557,4.949326567,0,0.975 +5101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.75653587,4.683539555,0,0.975 +5102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.49060747,1.907002698,0,0.975 +5104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.41852104,2.907743349,0,0.975 +5103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.53034479,1.63536111,0,0.975 +5105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.974733117,4.798629783,0,0.975 +5106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.984329138,-0.21919283,0,0.975 +5096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.43505292,-0.666735453,0,0.975 +5107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.01350535,3.820391675,0,0.975 +5108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.2810993,1.366574196,0,0.975 +5109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.65927532,3.011810303,0,0.975 +5110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.5613475,3.184595935,0,0.975 +5111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.41614154,8.078824111,0,0.975 +5112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.28851738,2.865819838,0,0.975 +5113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.20016943,5.222032617,0,0.975 +5115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.06723184,3.889332781,0,0.975 +5116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.07847914,5.247565073,0,0.975 +5114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.76616238,2.97150858,0,0.975 +5117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.0248571,3.506137363,0,0.975 +5120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.46726265,4.960478379,0,0.975 +5118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.10356618,5.868965014,0,0.975 +5119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.16197132,4.058465078,0,0.975 +5121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.02229599,3.314725744,0,0.975 +5122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.29998486,1.160111735,0,0.975 +5123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.993541393,3.644589068,0,0.975 +5125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.51815709,3.102182479,0,0.975 +5126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.77778769,0.291634391,0,0.975 +5127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.26616172,3.072721897,0,0.975 +5124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.09800651,3.76643028,0,0.975 +5128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.61468647,0.966570126,0,0.975 +5129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.97923573,5.338976056,0,0.975 +5130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.54552131,2.800584308,0,0.975 +5131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.52472702,4.005449819,0,0.975 +5132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.5100085,2.82810785,0,0.975 +5133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.958905127,1.543445613,0,0.975 +5135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.57398482,1.801637311,0,0.975 +5134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.33230125,1.542552467,0,0.975 +5136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.27313101,3.184429836,0,0.975 +5137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.10096438,1.432589057,0,0.975 +5139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.23951359,2.551960897,0,0.975 +5138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.83264061,5.63013594,0,0.975 +5140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.18280648,1.88094845,0,0.975 +5141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.975295317,5.899504984,0,0.975 +5143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.12729421,1.557555083,0,0.975 +5144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.62657459,6.567587146,0,0.975 +5142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.50669203,0.625270614,0,0.975 +5145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.22471982,2.5557377,0,0.975 +5149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.67196845,3.12392635,0,0.975 +5148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.51840179,5.915067931,0,0.975 +5146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.17055912,1.910727136,0,0.975 +5147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.1651302,7.015617855,0,0.975 +5151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.1800852,-0.092741967,0,0.975 +5153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.65813784,3.798870881,0,0.975 +5150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.37147904,4.072578546,0,0.975 +5152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.57395426,5.539247081,0,0.975 +5155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.33875475,-0.112625926,0,0.975 +5156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.3246218,1.098441201,0,0.975 +5154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.67683129,1.52723933,0,0.975 +5157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.68442132,3.159251208,0,0.975 +5158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.28795778,3.43346134,0,0.975 +5159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.49297172,2.991820903,0,0.975 +5160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.74515261,3.588853622,0,0.975 +5161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.21832304,4.634941124,0,0.975 +5164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.84228224,4.781788676,0,0.975 +5163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.988002979,2.810297046,0,0.975 +5162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.76019905,1.713983293,0,0.975 +5165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.74763698,4.202345045,0,0.975 +5166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.875924837,2.259801207,0,0.975 +5167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.48142269,4.109835703,0,0.975 +5168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.36397055,2.195246148,0,0.975 +5171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.48169451,3.711419857,0,0.975 +5170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.5209582,3.278191558,0,0.975 +5172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.41147826,3.611875894,0,0.975 +5169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.30154371,1.763155625,0,0.975 +5173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.30824565,1.765906326,0,0.975 +5175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.69480536,3.324686757,0,0.975 +5176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.49050167,1.826372951,0,0.975 +5174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.66793316,6.844818843,0,0.975 +5177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.17972425,2.057242618,0,0.975 +5178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.66744814,5.01011506,0,0.975 +5179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.34455351,5.667530751,0,0.975 +5180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.03948793,6.339330509,0,0.975 +5182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.53230399,6.123052716,0,0.975 +5183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.1527442,4.079707814,0,0.975 +5181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.24747471,3.539874214,0,0.975 +5184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.951136971,2.446012683,0,0.975 +5186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.54599859,0.260133608,0,0.975 +5185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.16567395,1.903846328,0,0.975 +5190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.925817058,1.493968824,0,0.975 +5191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.55086183,2.784595947,0,0.975 +5189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.59612108,1.822854579,0,0.975 +5187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.19394096,3.372042862,0,0.975 +5188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.80076445,2.783575549,0,0.975 +5192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.54970326,3.491184867,0,0.975 +5193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.61162802,7.165198176,0,0.975 +5194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.5358895,4.529914136,0,0.975 +5195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.46376251,2.426789202,0,0.975 +5197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.19326021,2.973766058,0,0.975 +5196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.74101019,3.902606518,0,0.975 +5198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.09126655,1.188234607,0,0.975 +5199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.42629714,2.839736991,0,0.975 +5200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.69212893,5.210735085,0,0.975 +5201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.78891111,3.6245744,0,0.975 +5204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.62247817,0.52517164,0,0.975 +5203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.56615761,4.267802357,0,0.975 +5202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.5582049,1.253338499,0,0.975 +5205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.968964846,0.48601245,0,0.975 +5206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.04145172,5.104599261,0,0.975 +5209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.42422749,5.273100343,0,0.975 +5208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.54153977,2.775691659,0,0.975 +5207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.14376083,2.946239469,0,0.975 +5211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.31043916,3.681568153,0,0.975 +5210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.75114808,4.364244081,0,0.975 +5212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.25143745,0.764234236,0,0.975 +5213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.7011595,1.426992904,0,0.975 +5214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.63831807,2.028966572,0,0.975 +5215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.43669362,7.099065427,0,0.975 +5216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.993651466,3.594356532,0,0.975 +5217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.941131852,0.779122805,0,0.975 +5218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.2630734,0.579230022,0,0.975 +5219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.967565999,0.997726899,0,0.975 +5220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.06546017,3.688848781,0,0.975 +5221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.49364228,0.892384993,0,0.975 +5222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.42551173,1.480703411,0,0.975 +5223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.63201013,4.42654021,0,0.975 +5224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.22938433,1.535292526,0,0.975 +5226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.6926062,1.028927386,0,0.975 +5227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.23827811,3.930276202,0,0.975 +5225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.19930553,6.434612759,0,0.975 +5228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.34994564,7.25627641,0,0.975 +5229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.68079543,0.925077611,0,0.975 +5230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.76767054,4.579320009,0,0.975 +5231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.58140799,2.996616703,0,0.975 +5232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.82680516,6.075178852,0,0.975 +5233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.72701004,2.723738916,0,0.975 +5234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.39422848,1.13276627,0,0.975 +5235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.967538204,3.311859633,0,0.975 +5237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.4166994,2.280469632,0,0.975 +5236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.77700152,5.956667284,0,0.975 +5238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.33085494,4.171688443,0,0.975 +5239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.20516495,2.535917938,0,0.975 +5240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.09180005,2.752630972,0,0.975 +5241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.4480519,4.306791885,0,0.975 +5242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.74029972,6.775990812,0,0.975 +5244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.22351041,2.367213512,0,0.975 +5245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.15452489,2.105062514,0,0.975 +5246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.82544515,2.850529936,0,0.975 +5243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.11778449,1.904023119,0,0.975 +5247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.54728546,4.475663051,0,0.975 +5248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.85319702,3.147758086,0,0.975 +5249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.01706728,2.851453303,0,0.975 +5250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.1210737,1.817599007,0,0.975 +5251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.1083733,6.588984413,0,0.975 +5252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.37830266,3.293558364,0,0.975 +5253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.31734864,3.254619294,0,0.975 +5254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.20853576,3.599206721,0,0.975 +5255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.46842981,4.271182157,0,0.975 +5256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.54829189,2.153490832,0,0.975 +5257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.22183818,1.955118319,0,0.975 +5258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.39234292,3.601368269,0,0.975 +5259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.999206287,7.297904577,0,0.975 +5260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.45843118,1.657241639,0,0.975 +5261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.49046032,2.131902884,0,0.975 +5262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.14599002,3.138867509,0,0.975 +5263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.3833899,4.955615815,0,0.975 +5264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.28877,4.208350056,0,0.975 +5265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.03319109,1.972047738,0,0.975 +5267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.17503311,2.370243382,0,0.975 +5266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.46727385,3.402127874,0,0.975 +5268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.10728233,4.129146586,0,0.975 +5269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.00649646,1.610130046,0,0.975 +5271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.6375432,2.18580485,0,0.975 +5270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.68080982,2.098934776,0,0.975 +5272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.51458415,2.192784482,0,0.975 +5273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.61119263,3.316410721,0,0.975 +5274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.44199079,-0.753046105,0,0.975 +5275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.74858495,3.381383646,0,0.975 +5276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.57518163,6.608745211,0,0.975 +5278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.54327791,4.661082473,0,0.975 +5277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.42397798,-0.278551574,0,0.975 +5280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.49926173,1.661133708,0,0.975 +5279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.63981104,4.403868453,0,0.975 +5281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.37140536,1.844019169,0,0.975 +5282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.60859862,3.282428579,0,0.975 +5283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.6238562,3.061160054,0,0.975 +5284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.45384947,1.336356281,0,0.975 +5285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.16766332,3.190120713,0,0.975 +5286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.00766412,2.647327033,0,0.975 +5287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.5013076,-0.033374384,0,0.975 +5289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.54009756,4.538664761,0,0.975 +5288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.21767292,4.697356283,0,0.975 +5290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.00944717,1.64611793,0,0.975 +5291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.43910084,1.524703784,0,0.975 +5292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.84958666,3.212644754,0,0.975 +5293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.06792844,0.481434173,0,0.975 +5294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.55421686,5.577868683,0,0.975 +5295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.20111084,0.929980064,0,0.975 +5296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.83980278,5.816512742,0,0.975 +5298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.43933268,1.034267106,0,0.975 +5297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.56726467,5.286049367,0,0.975 +5299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.12999388,5.045707156,0,0.975 +5300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.64601451,6.071656013,0,0.975 +5301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.06428066,2.21904857,0,0.975 +5302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.02847367,4.422898747,0,0.975 +5303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.44610322,1.738576428,0,0.975 +5304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.36641173,3.897202012,0,0.975 +5305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.79213927,1.281335684,0,0.975 +5307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.01552423,4.656145116,0,0.975 +5308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.45468356,1.659267164,0,0.975 +5309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.59658525,2.513855185,0,0.975 +5310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.17478975,4.836087625,0,0.975 +5311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.56675895,3.928665955,0,0.975 +5306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.49693167,2.821975008,0,0.975 +5312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.7248537,2.747488354,0,0.975 +5313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.14593177,1.915794825,0,0.975 +5315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.76852454,3.048051704,0,0.975 +5314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.06246388,2.476545898,0,0.975 +5316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.54333676,1.873237298,0,0.975 +5317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.19736298,3.266431734,0,0.975 +5318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.39215411,0.51791727,0,0.975 +5320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.57007149,5.132668731,0,0.975 +5321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.73299632,2.158217413,0,0.975 +5319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.45061866,5.711986101,0,0.975 +5322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.975429517,3.01094939,0,0.975 +5323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.62581877,4.427023026,0,0.975 +5324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.03335713,1.844438787,0,0.975 +5325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.45413653,2.072959647,0,0.975 +5326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.1416696,4.511631622,0,0.975 +5328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.09467979,4.67495244,0,0.975 +5327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.13820686,2.191466365,0,0.975 +5331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.56336487,1.74885182,0,0.975 +5329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.96990221,4.833388409,0,0.975 +5330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.72279223,3.352738116,0,0.975 +5332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.25584346,2.037187156,0,0.975 +5333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.933599248,3.169317954,0,0.975 +5334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.47040608,3.904311522,0,0.975 +5336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.26909929,0.658897954,0,0.975 +5335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.10249751,4.957078228,0,0.975 +5337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.57084998,1.424738847,0,0.975 +5339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.38958091,3.303773693,0,0.975 +5338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.49141696,2.061767183,0,0.975 +5340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.54019884,5.639381746,0,0.975 +5341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.25588363,1.22346012,0,0.975 +5342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.1203541,4.187789757,0,0.975 +5343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.66976265,1.869390051,0,0.975 +5344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.43805252,1.061938719,0,0.975 +5345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.01780523,0.252934996,0,0.975 +5346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.50134055,3.733692706,0,0.975 +5347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.67140407,2.470970914,0,0.975 +5348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.13380943,4.35541556,0,0.975 +5350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.949789527,6.361342038,0,0.975 +5351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.00616092,2.366647756,0,0.975 +5352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.20800859,5.658741316,0,0.975 +5349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.64172858,1.998333281,0,0.975 +5353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.30057896,0.553998879,0,0.975 +5354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.06645534,4.218992316,0,0.975 +5356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.71369148,4.651126229,0,0.975 +5355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.33935264,1.957109013,0,0.975 +5357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.33622466,5.085734937,0,0.975 +5358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.51706911,5.846543935,0,0.975 +5359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.2036258,1.224951777,0,0.975 +5360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.15824785,2.885384051,0,0.975 +5362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.71731639,2.922376282,0,0.975 +5361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.80095677,2.698952746,0,0.975 +5363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.05763268,5.677579774,0,0.975 +5364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.34780326,3.800466504,0,0.975 +5365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.81465125,5.661949148,0,0.975 +5366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.33764158,3.618533497,0,0.975 +5367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.37930518,3.106437355,0,0.975 +5368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.65589821,2.325467319,0,0.975 +5369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.31751674,3.563187372,0,0.975 +5370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.7999857,0.907288274,0,0.975 +5371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.77166652,1.323897965,0,0.975 +5373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.66231792,3.058702118,0,0.975 +5374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.74083498,1.171101962,0,0.975 +5375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.82282276,3.921064959,0,0.975 +5376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.09651988,3.342912163,0,0.975 +5372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.06630964,5.985602465,0,0.975 +5377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.81238799,2.893262569,0,0.975 +5378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.46874783,2.813549427,0,0.975 +5379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.08208169,3.445938215,0,0.975 +5380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.13500621,2.087023298,0,0.975 +5381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.64697779,1.656745384,0,0.975 +5382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.5118438,4.590290906,0,0.975 +5383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.27187402,2.791586175,0,0.975 +5384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.33417476,4.210641652,0,0.975 +5385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.05815885,2.308168634,0,0.975 +5386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.55539026,2.736471159,0,0.975 +5387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.71355175,0.119191582,0,0.975 +5388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.39898653,1.592211049,0,0.975 +5390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.1446987,3.935625704,0,0.975 +5389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.61581418,5.638896278,0,0.975 +5391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.66183593,2.086705249,0,0.975 +5393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.26618714,0.88132768,0,0.975 +5394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.44933497,0.967942873,0,0.975 +5395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.27760452,6.475073444,0,0.975 +5392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.00369354,2.85574936,0,0.975 +5396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.02129895,5.514674083,0,0.975 +5399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.21743285,2.685965342,0,0.975 +5397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.31169232,-0.913236671,0,0.975 +5398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.04451383,3.15076868,0,0.975 +5401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.39957476,-0.152111566,0,0.975 +5400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.63386077,4.682206442,0,0.975 +5402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.29690806,4.387295889,0,0.975 +5403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.62718708,2.451081398,0,0.975 +5405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.16832691,4.581579836,0,0.975 +5406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.28389499,2.569352429,0,0.975 +5407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.69302186,2.012842748,0,0.975 +5404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.18666175,1.111862435,0,0.975 +5408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.54488043,2.281500257,0,0.975 +5409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.32240666,2.003178389,0,0.975 +5411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.933892269,4.157993078,0,0.975 +5410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.41533328,0.731060528,0,0.975 +5413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.4462515,3.020858034,0,0.975 +5414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.16782526,3.901188604,0,0.975 +5412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.54280371,1.616055249,0,0.975 +5416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.33600446,5.605383263,0,0.975 +5415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.71472766,3.794042964,0,0.975 +5417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.36705448,3.914483526,0,0.975 +5419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.12249862,2.872171129,0,0.975 +5418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.46976866,0.120197065,0,0.975 +5421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.52857429,3.571932779,0,0.975 +5420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.53155302,2.507414755,0,0.975 +5422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.68005616,1.160120268,0,0.975 +5423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.31830741,0.541579981,0,0.975 +5424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.03948378,1.590617692,0,0.975 +5425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.9997438,2.004020279,0,0.975 +5426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.16114837,3.222962775,0,0.975 +5429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.64097469,1.301167995,0,0.975 +5428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.22225483,5.502086713,0,0.975 +5427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.26665551,2.718400634,0,0.975 +5430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.6030141,3.875028767,0,0.975 +5431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.75149835,3.99920833,0,0.975 +5433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.64892382,2.86758317,0,0.975 +5432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.1904673,1.507505522,0,0.975 +5434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.31560096,3.760956044,0,0.975 +5435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.80008456,5.1326892,0,0.975 +5436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.893278399,6.664258252,0,0.975 +5437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.34367633,1.514444894,0,0.975 +5438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.73362496,4.501734614,0,0.975 +5439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.8076719,3.127718619,0,0.975 +5440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.69391732,5.091340939,0,0.975 +5441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.35866904,5.645644237,0,0.975 +5442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.46479468,2.063031446,0,0.975 +5443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.71091661,1.46787058,0,0.975 +5444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.13535953,2.434266778,0,0.975 +5445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.52875398,2.931828557,0,0.975 +5446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.964434189,2.102641341,0,0.975 +5447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.51243606,3.485443243,0,0.975 +5448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.76854595,5.709446399,0,0.975 +5450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.61390193,2.5624827,0,0.975 +5449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.02692168,2.778857001,0,0.975 +5451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.12927325,2.198859102,0,0.975 +5453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.26916584,1.766877463,0,0.975 +5452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.05583352,5.038094606,0,0.975 +5454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.83671456,3.668228984,0,0.975 +5455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.81893566,2.91662296,0,0.975 +5456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.47235997,4.039647018,0,0.975 +5457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.47296483,3.026806969,0,0.975 +5458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.6107605,3.752141383,0,0.975 +5459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.38634316,3.608242455,0,0.975 +5460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.70222133,5.671090091,0,0.975 +5461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.10099529,5.745723542,0,0.975 +5462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.41435378,4.297460103,0,0.975 +5463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.20314307,3.715714875,0,0.975 +5464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.88949433,5.22706261,0,0.975 +5465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.58743084,0.448369499,0,0.975 +5466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.996535722,4.135700384,0,0.975 +5467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.25069865,4.318750907,0,0.975 +5468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.45588346,1.42745351,0,0.975 +5470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.01546994,2.630806418,0,0.975 +5469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.39603145,3.107021433,0,0.975 +5471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.78050658,4.177444527,0,0.975 +5472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.07752405,4.74272479,0,0.975 +5473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.1237708,4.070335558,0,0.975 +5475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.20265878,1.651383729,0,0.975 +5474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.49695844,5.15442129,0,0.975 +5476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.02382475,0.740623214,0,0.975 +5477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.49564277,2.199676663,0,0.975 +5478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.26359667,6.741987069,0,0.975 +5479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.17276906,3.059252421,0,0.975 +5480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.74433249,1.521788159,0,0.975 +5481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.56397909,6.948260729,0,0.975 +5482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.41284675,5.814794663,0,0.975 +5483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.42055796,4.196447132,0,0.975 +5484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.66339185,4.256718286,0,0.975 +5486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.72584163,2.287865932,0,0.975 +5487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.79127436,5.934254488,0,0.975 +5485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.18627758,2.9094098,0,0.975 +5488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.46202837,2.376897306,0,0.975 +5489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.1050944,0.819568453,0,0.975 +5490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.61567686,5.652862195,0,0.975 +5492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.21993314,2.271262891,0,0.975 +5491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.53936875,2.057480752,0,0.975 +5493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.77574042,2.493916367,0,0.975 +5494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.30079574,3.654451508,0,0.975 +5495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.57625861,2.521500714,0,0.975 +5496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.13433436,1.686150269,0,0.975 +5497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.2944159,1.871912855,0,0.975 +5498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.13096682,2.018094321,0,0.975 +5501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.6122541,4.318023832,0,0.975 +5502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.27338025,1.218356936,0,0.975 +5499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.6650107,1.860876498,0,0.975 +5503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.47351648,4.426908884,0,0.975 +5504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.44154775,5.514888185,0,0.975 +5505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.45832262,1.929719977,0,0.975 +5500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.55866863,6.294007642,0,0.975 +5506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.10624425,4.589671305,0,0.975 +5509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.51656309,3.979953851,0,0.975 +5507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.23212182,0.797205091,0,0.975 +5510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.17264785,5.899048267,0,0.975 +5511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.08957903,3.837179242,0,0.975 +5512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.50127036,2.588933381,0,0.975 +5508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.27006579,1.19270489,0,0.975 +5513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.15026584,0.742768439,0,0.975 +5514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.07318709,3.7358874,0,0.975 +5516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.05561121,1.95319725,0,0.975 +5515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.05226789,5.054005252,0,0.975 +5517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.65976452,2.729157657,0,0.975 +5518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.70008532,3.307338847,0,0.975 +5519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.48103351,2.465983749,0,0.975 +5520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.65372871,5.894045562,0,0.975 +5522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.64748276,0.888245238,0,0.975 +5521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.58953532,2.333967202,0,0.975 +5525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.20410481,3.103426978,0,0.975 +5524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.993401221,7.071781736,0,0.975 +5523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.47751685,0.191305057,0,0.975 +5527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.02865456,1.936155851,0,0.975 +5526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.09429207,4.526760036,0,0.975 +5528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.72083042,5.349631269,0,0.975 +5529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.08729822,4.130978837,0,0.975 +5530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.42126001,1.549340944,0,0.975 +5531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.41559999,0.827645807,0,0.975 +5533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.877698113,1.43927083,0,0.975 +5532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.0125362,5.710290737,0,0.975 +5534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.02773731,3.244756872,0,0.975 +5535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.19887763,4.965813855,0,0.975 +5536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.13685659,3.221128258,0,0.975 +5537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.03150784,3.275223016,0,0.975 +5539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.01478029,1.188317163,0,0.975 +5541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.66927061,4.537214571,0,0.975 +5540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.61987085,3.253989147,0,0.975 +5538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.01879499,6.543717994,0,0.975 +5542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.00334927,1.889043283,0,0.975 +5543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.05878831,0.499332593,0,0.975 +5544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.37732136,2.571754388,0,0.975 +5545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.31289854,3.97490999,0,0.975 +5546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.63125797,2.4236978,0,0.975 +5548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.37582433,3.361371692,0,0.975 +5549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.13510996,7.120678084,0,0.975 +5547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.03994296,5.476878204,0,0.975 +5550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.11097971,0.218918852,0,0.975 +5551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.36864287,1.549573468,0,0.975 +5552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.11484885,2.079811865,0,0.975 +5553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.58071114,3.929204722,0,0.975 +5555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.28059202,4.640364139,0,0.975 +5554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.42471105,3.225207361,0,0.975 +5557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.36867979,3.811553239,0,0.975 +5556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.4492198,6.396677206,0,0.975 +5558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.55591324,5.513551991,0,0.975 +5559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.4063004,6.372437267,0,0.975 +5560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.34004817,4.767384806,0,0.975 +5561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.71314602,3.213604593,0,0.975 +5563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.71340985,2.653516517,0,0.975 +5562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.29429531,-0.721253503,0,0.975 +5566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.51459218,3.589409919,0,0.975 +5564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.24117068,0.574517799,0,0.975 +5567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.36027059,5.758851941,0,0.975 +5565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.82537369,-0.26209312,0,0.975 +5568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.18262611,0.609329595,0,0.975 +5569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.82134882,4.101282784,0,0.975 +5570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.20816076,0.970036824,0,0.975 +5571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.31213319,4.696426286,0,0.975 +5572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.17561594,4.186430092,0,0.975 +5573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.09527616,3.483386914,0,0.975 +5574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.42594322,2.172364221,0,0.975 +5576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.56938817,4.682048787,0,0.975 +5577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.73830678,0.547171571,0,0.975 +5578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.24270804,2.374076601,0,0.975 +5579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.37522826,2.873871437,0,0.975 +5575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.19027422,1.364655572,0,0.975 +5580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.71362748,2.384811113,0,0.975 +5581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.05076113,5.361890199,0,0.975 +5582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.992360757,1.341227675,0,0.975 +5583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.21484347,3.303968189,0,0.975 +5584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.71699363,1.246388795,0,0.975 +5585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.07898575,5.767685086,0,0.975 +5586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.23094196,5.853400341,0,0.975 +5587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.41797352,4.104338966,0,0.975 +5589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.73152786,0.415724297,0,0.975 +5588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.28224429,1.454517542,0,0.975 +5590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.991457196,3.558758546,0,0.975 +5591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.01531676,7.277807541,0,0.975 +5592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.51846834,2.179949325,0,0.975 +5593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.51168778,0.856574582,0,0.975 +5594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.61533612,1.50820646,0,0.975 +5595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.53588733,2.807487706,0,0.975 +5598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.55278713,6.425013248,0,0.975 +5596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.71808225,5.826846049,0,0.975 +5597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.41040115,4.308062383,0,0.975 +5599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.732046,0.746321196,0,0.975 +5600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.66357219,3.103611032,0,0.975 +5601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.50244335,3.72291222,0,0.975 +5602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.12626944,0.758179855,0,0.975 +5604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.69611634,4.601079631,0,0.975 +5606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.38666934,4.715143563,0,0.975 +5605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.0755951,3.321403714,0,0.975 +5603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.66895019,3.268396663,0,0.975 +5607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.71524533,3.154790413,0,0.975 +5608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.35391824,2.260369207,0,0.975 +5609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.37124484,1.653671095,0,0.975 +5610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.12878847,5.426794045,0,0.975 +5611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.03231605,3.896011129,0,0.975 +5613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.72692804,4.017858226,0,0.975 +5612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.048509,4.532527257,0,0.975 +5615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.990397534,1.218553434,0,0.975 +5616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.37059621,5.365833478,0,0.975 +5614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.56890383,4.799754541,0,0.975 +5617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.56080371,3.126808774,0,0.975 +5618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.36113167,0.914270229,0,0.975 +5620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.29367251,4.125113027,0,0.975 +5619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.73432372,4.342121145,0,0.975 +5621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.54598011,7.678854572,0,0.975 +5622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.49283697,1.652745955,0,0.975 +5623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.21358442,-1.242978643,0,0.975 +5625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.13507116,0.065844973,0,0.975 +5624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.38117165,3.346644271,0,0.975 +5626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.3939058,4.156763621,0,0.975 +5628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.37226762,3.931721119,0,0.975 +5627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.71388133,3.311473231,0,0.975 +5629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.37489155,4.127685249,0,0.975 +5630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.19430046,4.637311607,0,0.975 +5631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.41309767,4.119923522,0,0.975 +5632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.37575904,3.906698981,0,0.975 +5633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.63558642,0.37809121,0,0.975 +5634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.85448002,1.246829279,0,0.975 +5635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.51643526,3.551683975,0,0.975 +5636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.5618778,3.754267557,0,0.975 +5637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.14116081,3.862350087,0,0.975 +5638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.885673878,5.233122116,0,0.975 +5639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.865114453,3.860340053,0,0.975 +5640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.24132296,2.622064718,0,0.975 +5641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.992630861,3.848370475,0,0.975 +5642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.2722095,5.051813739,0,0.975 +5643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.81420729,5.326566599,0,0.975 +5645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.40273405,0.998882867,0,0.975 +5644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.72290243,2.545314403,0,0.975 +5646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.45150047,1.44259422,0,0.975 +5647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.38191059,3.947920536,0,0.975 +5648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.59466377,2.639349089,0,0.975 +5650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.57740709,0.938223709,0,0.975 +5652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.955640086,1.294640108,0,0.975 +5653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.47504431,2.956813238,0,0.975 +5651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.10202411,3.219004552,0,0.975 +5649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.23173341,2.063910144,0,0.975 +5654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.45909757,1.191872283,0,0.975 +5655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.14359841,5.126399621,0,0.975 +5656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.12044037,2.593654091,0,0.975 +5660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.45062367,1.31977622,0,0.975 +5659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.38151172,3.065733696,0,0.975 +5661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.62262885,0.408247218,0,0.975 +5658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.31082503,3.601287842,0,0.975 +5662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.70774444,2.207320528,0,0.975 +5663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.63288015,1.380784786,0,0.975 +5657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.55630071,4.053306722,0,0.975 +5664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.45554112,3.752562281,0,0.975 +5665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.09046437,2.024890824,0,0.975 +5666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.00260955,3.12385374,0,0.975 +5669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.64046904,2.945445261,0,0.975 +5670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.37772141,0.873975029,0,0.975 +5668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.3956776,2.747555598,0,0.975 +5667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.62460522,2.422297749,0,0.975 +5672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.26557535,4.694034993,0,0.975 +5671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.03835944,2.176331052,0,0.975 +5674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.32482161,5.240606002,0,0.975 +5673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.05130796,2.875595523,0,0.975 +5677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.33473726,2.974763953,0,0.975 +5676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.63341429,3.321588107,0,0.975 +5675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.20489847,2.595342936,0,0.975 +5678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.04721307,5.02613806,0,0.975 +5681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.60647707,4.755686203,0,0.975 +5682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.01898046,3.852292205,0,0.975 +5679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.0588426,5.477242594,0,0.975 +5684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.11709281,1.81380434,0,0.975 +5680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.33311149,5.369828781,0,0.975 +5685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.28745033,5.626483926,0,0.975 +5683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.64461021,4.124117559,0,0.975 +5686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.6139801,0.574699326,0,0.975 +5687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.946154482,4.205028565,0,0.975 +5688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.70899771,5.211582309,0,0.975 +5689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.33573656,3.619113531,0,0.975 +5693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.78883858,3.676874858,0,0.975 +5691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.59640021,0.844718189,0,0.975 +5692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.36369985,4.771673919,0,0.975 +5690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.07053867,-0.506159069,0,0.975 +5694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.17175163,1.813151613,0,0.975 +5695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.85725279,0.110641412,0,0.975 +5696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.20966632,0.228582147,0,0.975 +5697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.18388502,2.917646418,0,0.975 +5698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.25583386,5.198215181,0,0.975 +5700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.69071091,2.276751445,0,0.975 +5701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.38875661,2.857125181,0,0.975 +5702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.72719222,5.167416874,0,0.975 +5699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.1236316,2.024663313,0,0.975 +5703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.04300603,0.714425273,0,0.975 +5704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.442988,3.854625849,0,0.975 +5705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.57829757,3.110352836,0,0.975 +5707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.38859646,4.562308511,0,0.975 +5708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.10642465,3.720709095,0,0.975 +5706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.77941204,5.53424998,0,0.975 +5709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.53863776,2.960954131,0,0.975 +5710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.6504302,2.405339703,0,0.975 +5711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.20105415,5.73096804,0,0.975 +5712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.43876603,3.005241687,0,0.975 +5713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.66755033,3.949942324,0,0.975 +5716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.46265124,2.250538083,0,0.975 +5714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.66758224,4.89085102,0,0.975 +5717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.77318585,3.586073393,0,0.975 +5715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.88593616,1.543758602,0,0.975 +5719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.27030381,2.793805969,0,0.975 +5720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.64472957,2.812407425,0,0.975 +5721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.30695065,1.394343773,0,0.975 +5723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.69503125,3.766046423,0,0.975 +5722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.26877394,6.022328672,0,0.975 +5725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.7514466,5.210551707,0,0.975 +5718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.54475041,4.719844927,0,0.975 +5724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.66979159,1.959893534,0,0.975 +5728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.73201301,2.661974063,0,0.975 +5726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.55658034,5.882160784,0,0.975 +5727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.59247777,1.002929263,0,0.975 +5730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.04457632,3.321209729,0,0.975 +5729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.35735306,6.773242895,0,0.975 +5731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.45843273,4.027078553,0,0.975 +5732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.39200624,2.472512412,0,0.975 +5733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.908158807,4.40790075,0,0.975 +5734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.963669994,2.536117944,0,0.975 +5736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.7002966,-0.057555847,0,0.975 +5735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.84188211,1.291035606,0,0.975 +5738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.03821312,2.865917527,0,0.975 +5737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.59930663,2.350927124,0,0.975 +5739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.73621095,5.156918586,0,0.975 +5741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.23862994,3.193762972,0,0.975 +5742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.10318864,4.733005504,0,0.975 +5743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.76556111,1.567186121,0,0.975 +5746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.627754,-0.411578041,0,0.975 +5744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.56767897,1.043723109,0,0.975 +5745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.77864688,0.679962212,0,0.975 +5747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.74104492,3.511771255,0,0.975 +5740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.08137254,1.775796351,0,0.975 +5748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.10699006,1.419182938,0,0.975 +5750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.4680046,2.758893431,0,0.975 +5749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.76244095,1.354510882,0,0.975 +5752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.72265257,1.561149712,0,0.975 +5753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.69492209,2.424485114,0,0.975 +5754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.41957073,2.004130545,0,0.975 +5751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.06977126,6.794434368,0,0.975 +5755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.56246957,4.831907799,0,0.975 +5756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.19318311,3.594202562,0,0.975 +5758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.40507085,4.414525927,0,0.975 +5757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.968166002,0.754937051,0,0.975 +5759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.66046881,4.650354113,0,0.975 +5761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.22031055,4.425392443,0,0.975 +5760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.19460915,6.17682239,0,0.975 +5764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.76836505,2.169062569,0,0.975 +5762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.929666286,4.458156327,0,0.975 +5765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.67459367,6.875901612,0,0.975 +5766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.46608236,1.034755958,0,0.975 +5763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.73449985,0.270731665,0,0.975 +5767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.67119206,6.08288523,0,0.975 +5769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.37795842,-0.101853293,0,0.975 +5770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.35642162,1.992356603,0,0.975 +5768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.81215265,2.922654563,0,0.975 +5771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.71058501,4.156568898,0,0.975 +5772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.52938755,1.058238683,0,0.975 +5773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.933276248,5.895242008,0,0.975 +5775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.13857544,4.538992082,0,0.975 +5774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.56736429,3.999440467,0,0.975 +5777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.01872634,3.317727293,0,0.975 +5776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.07817313,4.294605439,0,0.975 +5778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.65990419,4.455043279,0,0.975 +5779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.22323173,3.378566446,0,0.975 +5780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.38984946,2.146705295,0,0.975 +5781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.10612753,1.335876626,0,0.975 +5782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.58973425,4.273201326,0,0.975 +5784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.41868151,4.990979525,0,0.975 +5785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.50366206,2.156699028,0,0.975 +5783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.5444617,1.509461237,0,0.975 +5786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.10393035,4.605485593,0,0.975 +5787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.68365335,2.52494643,0,0.975 +5788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.37730982,3.810464434,0,0.975 +5789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.43625628,0.753203419,0,0.975 +5790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.55176223,5.180036821,0,0.975 +5792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.14805118,3.715441539,0,0.975 +5793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.78876927,0.504829928,0,0.975 +5791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.33227856,5.165648464,0,0.975 +5794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.29985572,4.174852437,0,0.975 +5795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.12393512,5.294300085,0,0.975 +5796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.54653633,0.654822487,0,0.975 +5797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.00549971,3.563101674,0,0.975 +5798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.61534248,2.945560198,0,0.975 +5799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.57765002,4.553051241,0,0.975 +5800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.25420761,3.164562016,0,0.975 +5801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.29602506,5.829676684,0,0.975 +5803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.12052232,2.976713797,0,0.975 +5802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.67806327,3.199065344,0,0.975 +5804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.26595474,2.638947236,0,0.975 +5805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.27176375,4.852906264,0,0.975 +5807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.1059705,1.312341404,0,0.975 +5806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.6504102,1.20034059,0,0.975 +5809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.17047763,3.292288458,0,0.975 +5808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.63926368,4.898690615,0,0.975 +5811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.69645471,-0.246508332,0,0.975 +5810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.65959221,2.881681288,0,0.975 +5812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.0537306,3.910797214,0,0.975 +5813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.48277929,3.273996993,0,0.975 +5815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.41306512,3.667298952,0,0.975 +5814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.18586356,-0.392140146,0,0.975 +5816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.18187818,4.283843008,0,0.975 +5817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.47854903,0.041195444,0,0.975 +5818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.61178953,4.501650835,0,0.975 +5819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.59917088,4.219449218,0,0.975 +5821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.6142426,7.692534994,0,0.975 +5820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.31918763,0.227981619,0,0.975 +5822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.45757885,3.30189842,0,0.975 +5823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.28375337,2.571505258,0,0.975 +5824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.08857915,2.549036298,0,0.975 +5825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.49880527,2.683356041,0,0.975 +5826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.07250584,4.575419915,0,0.975 +5829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.15328335,1.453818525,0,0.975 +5827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.62205096,2.579214597,0,0.975 +5828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.69883746,4.726087449,0,0.975 +5830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.07497682,2.760771986,0,0.975 +5831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.72212321,2.617768517,0,0.975 +5832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.039976,1.487240244,0,0.975 +5833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.71189162,5.78023846,0,0.975 +5835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.80334931,3.200333881,0,0.975 +5837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.59353668,2.294821439,0,0.975 +5836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.3299821,5.472179719,0,0.975 +5834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.35373498,6.959587442,0,0.975 +5839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.32693504,2.171257831,0,0.975 +5838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.79853991,3.470504336,0,0.975 +5841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.60889497,0.880451353,0,0.975 +5842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.30959156,2.157218031,0,0.975 +5843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.987698325,-0.0776684,0,0.975 +5840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.56999355,5.222448026,0,0.975 +5844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.51505619,3.479302526,0,0.975 +5847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.57639795,5.722790761,0,0.975 +5846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.49986846,1.366434682,0,0.975 +5845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.14033661,6.225874244,0,0.975 +5848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.38224525,2.901974263,0,0.975 +5849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.18698191,4.971387033,0,0.975 +5851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.42819655,2.981842047,0,0.975 +5852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.54289046,2.078524661,0,0.975 +5854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.31417697,2.528797879,0,0.975 +5855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.44617311,2.24323511,0,0.975 +5853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.74969848,2.453223798,0,0.975 +5850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.27746943,2.998813798,0,0.975 +5857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.75932992,3.796804652,0,0.975 +5858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.14338839,2.756530461,0,0.975 +5856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.38560198,4.480754433,0,0.975 +5860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.78529264,5.879902817,0,0.975 +5859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.72588817,4.795381741,0,0.975 +5862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.23923832,2.046191846,0,0.975 +5861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.51683907,0.462432037,0,0.975 +5863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.56350447,1.400826392,0,0.975 +5866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.83421487,2.524985992,0,0.975 +5864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.59253441,1.631820679,0,0.975 +5868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.5498119,1.473899002,0,0.975 +5869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.45471526,3.162176422,0,0.975 +5867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.27252655,2.482449523,0,0.975 +5865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.05960646,3.775317578,0,0.975 +5870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.2320526,0.850736914,0,0.975 +5871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.79408342,2.826109855,0,0.975 +5875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.0893196,1.614005937,0,0.975 +5873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.994774133,4.943872564,0,0.975 +5874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.46494537,4.098737515,0,0.975 +5876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.23088542,1.834245308,0,0.975 +5872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.36786506,3.048318132,0,0.975 +5877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.74228765,4.095466284,0,0.975 +5878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.06328872,0.150847641,0,0.975 +5879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.32576554,2.611657303,0,0.975 +5880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.23762064,0.562842402,0,0.975 +5881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.33282184,5.269619096,0,0.975 +5883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.45476806,0.428293399,0,0.975 +5884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.3461277,4.343203577,0,0.975 +5882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.34566838,6.027635936,0,0.975 +5885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.35808414,0.497143477,0,0.975 +5890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.45848444,2.370108675,0,0.975 +5889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.12098893,0.539377142,0,0.975 +5887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.8351478,3.361629836,0,0.975 +5891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.74083292,2.192729926,0,0.975 +5892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.5551303,4.984922647,0,0.975 +5886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.57201258,1.952468045,0,0.975 +5888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.74602731,5.241908602,0,0.975 +5893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.19483624,1.155970577,0,0.975 +5895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.138037,3.436942782,0,0.975 +5897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.56469289,0.400571234,0,0.975 +5896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.65381339,4.38895119,0,0.975 +5894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.129843,0.121554717,0,0.975 +5898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.65582458,2.321407774,0,0.975 +5899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.4727418,2.485741888,0,0.975 +5900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.05146911,4.329724904,0,0.975 +5901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.27772223,3.067484479,0,0.975 +5902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.79963327,4.823688615,0,0.975 +5905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.45653163,3.42726261,0,0.975 +5906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.04623862,2.252290788,0,0.975 +5903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.51183512,1.581433144,0,0.975 +5908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.62920511,3.5281191,0,0.975 +5904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.41651504,5.668254623,0,0.975 +5909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.41690628,4.023824999,0,0.975 +5907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.62186342,3.611288543,0,0.975 +5910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.66853961,4.703846447,0,0.975 +5913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.15861379,4.065330741,0,0.975 +5912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.46489958,-0.228531837,0,0.975 +5911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.67373431,0.397692089,0,0.975 +5914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.78044101,4.178807037,0,0.975 +5915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.46571095,3.363315294,0,0.975 +5916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.32681132,4.796828675,0,0.975 +5917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.21943879,4.970945001,0,0.975 +5918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.25580778,1.49120795,0,0.975 +5920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.53334172,2.628773157,0,0.975 +5921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.58551017,-0.666783239,0,0.975 +5919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.11010134,3.68589377,0,0.975 +5923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.53099365,5.256860904,0,0.975 +5922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.52046447,2.554719583,0,0.975 +5924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.11309581,4.594093068,0,0.975 +5925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.959968329,1.61269676,0,0.975 +5927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.39754707,5.420052383,0,0.975 +5929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.55325005,1.486842519,0,0.975 +5926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.6304392,5.001411204,0,0.975 +5928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.18631633,1.400162275,0,0.975 +5930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.57421589,4.247089478,0,0.975 +5931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.26862572,2.194179602,0,0.975 +5932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.59527705,4.391351952,0,0.975 +5933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.57090742,5.468004845,0,0.975 +5935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.976727347,1.948396364,0,0.975 +5934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.27327476,1.312471833,0,0.975 +5937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.25871772,-1.089258817,0,0.975 +5938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.01307336,1.454125807,0,0.975 +5936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.51930525,2.610771618,0,0.975 +5940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.19536065,5.000061449,0,0.975 +5941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.67098004,2.697556318,0,0.975 +5939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.35693047,4.104470709,0,0.975 +5942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.39478726,1.602850847,0,0.975 +5943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.10048823,3.819197816,0,0.975 +5944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.990551857,2.514316399,0,0.975 +5945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.00016663,6.789348764,0,0.975 +5947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.63181459,2.137607728,0,0.975 +5948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.16465927,3.720510249,0,0.975 +5946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.06132122,2.783265091,0,0.975 +5949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.19529615,5.592923613,0,0.975 +5950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.30791415,7.024890756,0,0.975 +5951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.66379605,6.129532154,0,0.975 +5952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.33586929,1.45369857,0,0.975 +5953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.55669062,2.532033796,0,0.975 +5956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.28034893,4.770278723,0,0.975 +5957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.33977682,1.787416735,0,0.975 +5958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.06471509,2.125415531,0,0.975 +5955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.31881603,-0.634309053,0,0.975 +5954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.99799628,3.555622487,0,0.975 +5959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.11231665,2.525738726,0,0.975 +5960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.31649019,3.700215638,0,0.975 +5963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.14451032,4.020267566,0,0.975 +5962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.65122714,3.386881959,0,0.975 +5961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.35437277,1.060972146,0,0.975 +5967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.61749189,4.086880665,0,0.975 +5966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.80424972,1.262411282,0,0.975 +5965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.48047762,1.639734891,0,0.975 +5964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.28529983,2.219547281,0,0.975 +5968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.51288342,2.497290392,0,0.975 +5970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.8268061,1.614667179,0,0.975 +5972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.14220271,5.056613799,0,0.975 +5969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.80645984,3.865629065,0,0.975 +5971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.19372469,5.947171113,0,0.975 +5973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.61304774,1.740508912,0,0.975 +5976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.19238908,0.282609971,0,0.975 +5974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.20772055,4.568857574,0,0.975 +5975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.7593243,2.710610303,0,0.975 +5977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.52754027,0.901819588,0,0.975 +5978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.74734289,0.772370175,0,0.975 +5979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.67230662,5.035011702,0,0.975 +5980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.43703819,4.599987794,0,0.975 +5984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.28010469,3.04696013,0,0.975 +5981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.01655349,1.108555271,0,0.975 +5982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.18917975,4.329231197,0,0.975 +5983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.72850353,-0.034913418,0,0.975 +5985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-9.981842859,0.371144835,0,0.975 +5986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.58976617,3.119717465,0,0.975 +5988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.04918395,1.725157926,0,0.975 +5990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.47868271,1.184415103,0,0.975 +5991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.59926123,3.718770578,0,0.975 +5989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.82488476,1.159421287,0,0.975 +5992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.56441635,3.822415413,0,0.975 +5987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.74410631,0.707629322,0,0.975 +5993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.23851058,3.056611849,0,0.975 +5994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.36162535,3.214135778,0,0.975 +5995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.20240062,2.573980414,0,0.975 +5997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.41265872,1.778035399,0,0.975 +5998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.87071998,-0.26280207,0,0.975 +5996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.57468109,1.924350252,0,0.975 +6000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.26176577,1.997419813,0,0.975 +5999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.25,10,1,-10.30918504,2.960494373,0,0.975 +6001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.45161975,2.151374858,0,0.79 +6002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.60810649,0.37578362,0,0.79 +6004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.14482721,1.379163387,0,0.79 +6005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.63414061,-0.990393131,0,0.79 +6003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.71641749,0.394785092,0,0.79 +6006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.1041755,2.575879124,0,0.79 +6007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.52044395,-0.039815634,0,0.79 +6008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.35629915,4.069453001,0,0.79 +6009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.72731007,1.152043769,0,0.79 +6010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.50813383,0.598674645,0,0.79 +6011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.35962506,4.392463019,0,0.79 +6013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.10231002,4.948147401,0,0.79 +6012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.18826872,0.472761428,0,0.79 +6014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.963796097,-0.441348234,0,0.79 +6015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.57653623,-1.378346035,0,0.79 +6017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.64498086,0.835726824,0,0.79 +6018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.39506886,0.193721644,0,0.79 +6019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.991947498,0.836117162,0,0.79 +6016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.60180996,2.154986139,0,0.79 +6021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.51596295,1.262485477,0,0.79 +6022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.31545104,1.007668004,0,0.79 +6020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.60790543,3.186589421,0,0.79 +6024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.5421694,3.704512503,0,0.79 +6025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.48374768,1.614548989,0,0.79 +6023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.35930363,0.663048969,0,0.79 +6026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.4589421,2.1228848,0,0.79 +6027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.20245387,0.573647964,0,0.79 +6030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.6587818,0.175507619,0,0.79 +6028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.21562535,-0.521604435,0,0.79 +6031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.52488827,1.992151833,0,0.79 +6032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.46028213,0.215737347,0,0.79 +6033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.42047501,3.866086259,0,0.79 +6029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.32717334,4.903277538,0,0.79 +6034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.84536445,3.742368674,0,0.79 +6036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.06584514,0.831137442,0,0.79 +6037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.25748221,2.34528093,0,0.79 +6039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.3078755,1.75693721,0,0.79 +6040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.37021663,4.225136629,0,0.79 +6035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.967907443,2.291035907,0,0.79 +6038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.04559285,1.692602778,0,0.79 +6042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.91269933,1.981638069,0,0.79 +6041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.2699642,2.802390372,0,0.79 +6044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.19087983,2.397899785,0,0.79 +6043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.48373716,0.684110016,0,0.79 +6045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.02128794,1.989344698,0,0.79 +6046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.55716967,0.779525966,0,0.79 +6048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.05222625,3.442617701,0,0.79 +6047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.32448272,1.476972132,0,0.79 +6050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.1165657,1.677061307,0,0.79 +6049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.13773386,1.630746929,0,0.79 +6051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.28306964,0.611295996,0,0.79 +6052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.67375043,-0.545380563,0,0.79 +6054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.48082466,-1.137766432,0,0.79 +6055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.957424849,0.249009636,0,0.79 +6057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.76110539,-1.451008384,0,0.79 +6053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.28023312,0.935076693,0,0.79 +6058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.37794333,2.664046266,0,0.79 +6056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.29773075,1.028092315,0,0.79 +6059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.66800275,-2.290090476,0,0.79 +6060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.00650495,2.326428603,0,0.79 +6061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.58714607,1.088542289,0,0.79 +6062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.68891661,0.697333775,0,0.79 +6064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.05754298,0.440492717,0,0.79 +6063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.19913746,1.448790955,0,0.79 +6065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.22445093,1.58607342,0,0.79 +6067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.52029713,4.876579918,0,0.79 +6066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.02260763,0.432886381,0,0.79 +6068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.69984146,3.408802532,0,0.79 +6070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.77452296,5.543956426,0,0.79 +6069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.59803454,-2.736438866,0,0.79 +6071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.41430021,-0.143712497,0,0.79 +6073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.63084935,3.492030941,0,0.79 +6072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.01986953,0.935894468,0,0.79 +6076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.73539203,2.263438425,0,0.79 +6074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.33497125,1.916778265,0,0.79 +6075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.45940375,-0.450115605,0,0.79 +6077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.05658663,4.811423595,0,0.79 +6078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.64541638,-1.038583994,0,0.79 +6081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.3296801,0.971067834,0,0.79 +6079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.69226338,0.594472348,0,0.79 +6080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.10222439,2.941155895,0,0.79 +6083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.7557484,-2.218079361,0,0.79 +6082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.5382356,3.596496382,0,0.79 +6085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.05781994,2.010679502,0,0.79 +6084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.72628653,-0.18285366,0,0.79 +6086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.72789864,-0.722380232,0,0.79 +6089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.56032356,1.037987257,0,0.79 +6087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.14864718,2.155974463,0,0.79 +6088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.08670649,4.404509283,0,0.79 +6090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.25778903,0.774901414,0,0.79 +6091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.2474702,5.988295587,0,0.79 +6093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.55122734,3.57799537,0,0.79 +6094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.59578093,1.551442618,0,0.79 +6095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.47585702,2.409167131,0,0.79 +6096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.27537877,3.823942341,0,0.79 +6092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.859799694,1.044008196,0,0.79 +6098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.69344525,3.674532134,0,0.79 +6099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.69771409,0.098340162,0,0.79 +6097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.35630932,3.159065313,0,0.79 +6100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.44651315,6.131265131,0,0.79 +6101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.21723979,3.629394487,0,0.79 +6104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.05845618,3.011913982,0,0.79 +6102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.982737584,-3.31979951,0,0.79 +6103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.62446194,3.743107977,0,0.79 +6105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.28401793,4.175129397,0,0.79 +6106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.16789177,1.53464872,0,0.79 +6107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.66405541,3.09334829,0,0.79 +6108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.46329804,3.472693658,0,0.79 +6109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.08570652,0.763678574,0,0.79 +6111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.10231682,3.027674333,0,0.79 +6110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.86170423,2.565108056,0,0.79 +6112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.61848847,3.791669747,0,0.79 +6114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.7828231,0.125246957,0,0.79 +6113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.22113611,2.327915057,0,0.79 +6115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.73817184,5.324310572,0,0.79 +6116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.01625492,3.847576663,0,0.79 +6117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.65963606,6.989639307,0,0.79 +6119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.6725542,1.856099095,0,0.79 +6118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.6027234,0.026125174,0,0.79 +6121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.04509561,0.4924917,0,0.79 +6120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.26900431,1.698220716,0,0.79 +6122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.28025222,0.673297712,0,0.79 +6123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.05830781,2.659887501,0,0.79 +6124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.78255277,2.803193879,0,0.79 +6127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.7543209,0.843826025,0,0.79 +6125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.75929434,-0.56675537,0,0.79 +6129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.994392808,4.731241479,0,0.79 +6126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.75030471,8.293700316,0,0.79 +6128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.57653681,4.404028976,0,0.79 +6130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.59533513,5.876501375,0,0.79 +6132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.6681347,2.261870362,0,0.79 +6131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.57055023,3.69044434,0,0.79 +6135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.1429872,0.388052006,0,0.79 +6133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.38716102,0.708725876,0,0.79 +6134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.80576466,-2.451526294,0,0.79 +6136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.40664119,1.004605163,0,0.79 +6137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.07412555,2.962709938,0,0.79 +6138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.07047481,0.870664027,0,0.79 +6140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.2097777,1.418554228,0,0.79 +6142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.06343227,4.317903395,0,0.79 +6139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.55236359,3.030581253,0,0.79 +6141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.71346677,1.469518546,0,0.79 +6144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.3200052,3.36340356,0,0.79 +6145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.82946807,1.633637061,0,0.79 +6143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.77892532,4.169654332,0,0.79 +6146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.52998067,5.230329486,0,0.79 +6147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.61026907,2.37538566,0,0.79 +6149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.69822567,1.040116687,0,0.79 +6150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.51396673,0.322050667,0,0.79 +6148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.36358183,2.514722959,0,0.79 +6152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.39528261,-0.788358444,0,0.79 +6154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.62986053,2.355002074,0,0.79 +6153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.36595336,3.093219129,0,0.79 +6151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.02186829,1.969971389,0,0.79 +6155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.69032847,1.313809356,0,0.79 +6157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.26348288,2.008741527,0,0.79 +6158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.60383653,0.439165201,0,0.79 +6156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.62396018,1.463180132,0,0.79 +6160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.65792949,3.909529208,0,0.79 +6162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.23302214,0.263593538,0,0.79 +6159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.68163255,4.284111277,0,0.79 +6163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.28469842,1.305341409,0,0.79 +6161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.70508977,0.571893988,0,0.79 +6164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.57196631,3.309543945,0,0.79 +6166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.998840826,3.405536233,0,0.79 +6165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.57557636,-1.262442646,0,0.79 +6168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.40347358,3.767113596,0,0.79 +6167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.5370622,1.644763149,0,0.79 +6169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.70705759,-0.070331073,0,0.79 +6170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.70586489,1.610446167,0,0.79 +6172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.71181134,0.596106528,0,0.79 +6171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.5574035,3.665294963,0,0.79 +6173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.13384599,2.914464843,0,0.79 +6175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.45863257,-0.389007475,0,0.79 +6176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.63345822,4.677245548,0,0.79 +6174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.37122987,3.315029272,0,0.79 +6177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.77665496,1.386864835,0,0.79 +6178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.59410577,1.269670626,0,0.79 +6181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.55163363,2.151051126,0,0.79 +6179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.96764614,0.584742839,0,0.79 +6183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.70034692,2.204197039,0,0.79 +6182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.24243149,4.188376893,0,0.79 +6185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.58817066,0.907041892,0,0.79 +6184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.44740885,1.287395691,0,0.79 +6180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.28861893,-0.780400736,0,0.79 +6186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.932427788,0.376374987,0,0.79 +6188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.5913499,0.15997608,0,0.79 +6189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.07280876,5.035823904,0,0.79 +6190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.71672829,4.129430113,0,0.79 +6192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.18607198,3.83039806,0,0.79 +6187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.64999964,2.711629352,0,0.79 +6191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.36736381,3.758500124,0,0.79 +6193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.59886421,4.691789395,0,0.79 +6196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.31148714,-1.41621229,0,0.79 +6195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.46909357,3.592429846,0,0.79 +6197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.68097847,-0.565943542,0,0.79 +6194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.73798855,3.607371992,0,0.79 +6199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.5231334,2.682556373,0,0.79 +6200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.72455613,3.291126977,0,0.79 +6198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.50602117,2.419553956,0,0.79 +6201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.3795497,1.66171948,0,0.79 +6203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.77967133,-0.092852855,0,0.79 +6202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.09295099,4.412998771,0,0.79 +6204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.24305674,-0.215020415,0,0.79 +6207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.74680528,1.477206201,0,0.79 +6208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.1049131,-1.460891577,0,0.79 +6206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.29537064,1.431701252,0,0.79 +6209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.78211464,3.264462299,0,0.79 +6205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.45121218,1.414314349,0,0.79 +6210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.20953463,3.545383771,0,0.79 +6211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.53190781,2.657500118,0,0.79 +6212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.46167883,0.702107547,0,0.79 +6214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.2367636,0.272632523,0,0.79 +6215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.04158854,-0.534133479,0,0.79 +6213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.20555788,-0.043358556,0,0.79 +6217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.79877251,-0.83303455,0,0.79 +6218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.3069049,0.468290448,0,0.79 +6216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.21714241,1.877816667,0,0.79 +6219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.75830144,-0.078905433,0,0.79 +6220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.3400854,2.882538466,0,0.79 +6221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.06702853,5.109227841,0,0.79 +6222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.49200232,1.610369215,0,0.79 +6223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.5859072,2.115763997,0,0.79 +6224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.39738843,-0.244434549,0,0.79 +6226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.967786988,1.021135558,0,0.79 +6227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.06724321,-0.488216335,0,0.79 +6229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.64264448,-0.971278532,0,0.79 +6228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.34924126,1.038796644,0,0.79 +6230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.80577984,2.548060227,0,0.79 +6225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.71551957,1.28496925,0,0.79 +6231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.53669891,-2.537046527,0,0.79 +6233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.02085917,1.648110402,0,0.79 +6232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.45420118,0.810711075,0,0.79 +6234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.52925488,1.457580013,0,0.79 +6235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.03557598,0.293380795,0,0.79 +6238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.6660113,-0.779146743,0,0.79 +6237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.00468808,2.018710441,0,0.79 +6236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.71243818,1.697875638,0,0.79 +6239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.11464267,1.89945963,0,0.79 +6242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.5386662,1.298982388,0,0.79 +6241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.74601632,2.267181541,0,0.79 +6240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.58993318,-1.064345266,0,0.79 +6245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.15958592,5.776499212,0,0.79 +6244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.54024982,1.974323805,0,0.79 +6246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.52210056,-1.223587277,0,0.79 +6243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.17566147,1.312809405,0,0.79 +6247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.19300811,2.134235933,0,0.79 +6249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.56001713,-0.359087363,0,0.79 +6248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.21377335,1.066155894,0,0.79 +6250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.49543032,1.167529838,0,0.79 +6251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.52339849,0.495175136,0,0.79 +6252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.64499213,3.572721297,0,0.79 +6253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.74030155,1.326858474,0,0.79 +6254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.6999611,-0.159557318,0,0.79 +6255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.73455085,0.237598416,0,0.79 +6256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.956340505,0.152970983,0,0.79 +6259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.13404196,2.604284003,0,0.79 +6258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.25473795,3.021760257,0,0.79 +6260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.53018345,-0.046484937,0,0.79 +6262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.25087389,0.456922251,0,0.79 +6257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.22595938,4.929461221,0,0.79 +6261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.3529035,-0.993056029,0,0.79 +6263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.36085757,-0.798369407,0,0.79 +6264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.77873905,2.589906629,0,0.79 +6265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.55529916,1.114536483,0,0.79 +6266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.09366748,0.410654901,0,0.79 +6267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.0530889,0.23054489,0,0.79 +6268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.74120904,3.466425357,0,0.79 +6269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.1307984,4.035568336,0,0.79 +6270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.03985682,1.065707882,0,0.79 +6271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.14212316,2.90813903,0,0.79 +6272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.64911586,1.017703139,0,0.79 +6273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.28953595,0.769563158,0,0.79 +6274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.15578904,2.041610138,0,0.79 +6276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.80511559,1.758598302,0,0.79 +6275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.1163701,1.358780938,0,0.79 +6278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.01696084,4.359172616,0,0.79 +6277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.79953277,4.097049532,0,0.79 +6279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.04628195,3.104744437,0,0.79 +6280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.65812419,4.405423057,0,0.79 +6281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.18751622,-1.384892174,0,0.79 +6282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.06777839,-0.657354873,0,0.79 +6284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.12573049,5.859652038,0,0.79 +6283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.25873581,4.043581574,0,0.79 +6285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.63366889,1.228722556,0,0.79 +6286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.08259286,2.313078865,0,0.79 +6287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.39443977,1.203512408,0,0.79 +6288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.57038506,-1.236846604,0,0.79 +6289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.09486013,1.072660691,0,0.79 +6290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.1203912,2.984650593,0,0.79 +6292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.15186586,1.203164336,0,0.79 +6291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.70346778,5.498470608,0,0.79 +6293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.24632446,2.423145235,0,0.79 +6295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.6282058,-2.981627128,0,0.79 +6294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.28442264,3.021104729,0,0.79 +6296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.71854618,-0.621582146,0,0.79 +6297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.44793944,-0.536154985,0,0.79 +6298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.43062406,2.238332377,0,0.79 +6300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.70589698,-1.954579981,0,0.79 +6299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.06123457,1.005838262,0,0.79 +6301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.03536737,1.093230366,0,0.79 +6302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.06711388,3.121885122,0,0.79 +6304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.50692678,-0.299171708,0,0.79 +6303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.35679536,0.598187041,0,0.79 +6305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.37512507,5.264336176,0,0.79 +6306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.58803286,1.220292013,0,0.79 +6308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.18197497,0.158379931,0,0.79 +6307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.70248882,1.572783646,0,0.79 +6309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.00157552,0.107862327,0,0.79 +6310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.39260565,2.035816104,0,0.79 +6311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.65711647,-1.237550159,0,0.79 +6312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.66646793,1.143207322,0,0.79 +6313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.4752896,0.719338872,0,0.79 +6314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.06847073,-1.269167872,0,0.79 +6315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.38912023,0.386963137,0,0.79 +6316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.37474207,0.755718758,0,0.79 +6317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.53645211,1.512765953,0,0.79 +6318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.36139123,3.297534684,0,0.79 +6319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.19985373,7.671308647,0,0.79 +6321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.81111536,5.556874003,0,0.79 +6322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.15331775,1.039737689,0,0.79 +6324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.47785913,1.047266844,0,0.79 +6323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.08238701,-1.698656801,0,0.79 +6320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.64093666,1.082928733,0,0.79 +6325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.66099008,3.299814308,0,0.79 +6326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.57066966,2.038080532,0,0.79 +6328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.07263491,-1.067680641,0,0.79 +6327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.02560836,-0.233918303,0,0.79 +6331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.30828396,3.832789276,0,0.79 +6330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.40872038,-0.762887069,0,0.79 +6329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.28508219,-1.318677758,0,0.79 +6333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.0222422,-1.480298411,0,0.79 +6332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.17881793,4.527889369,0,0.79 +6334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.04701728,-1.254130402,0,0.79 +6335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.2571406,0.538140367,0,0.79 +6336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.72294937,0.265935335,0,0.79 +6337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.873427251,1.447952927,0,0.79 +6338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.44335427,0.658842484,0,0.79 +6339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.34309025,2.221773231,0,0.79 +6340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.63579335,2.594141461,0,0.79 +6342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.36546338,4.842194305,0,0.79 +6344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.77761529,3.050839185,0,0.79 +6341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.994040235,-1.684934126,0,0.79 +6343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.41693796,0.937236194,0,0.79 +6345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.26862464,-1.568508399,0,0.79 +6346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.995754573,2.979975849,0,0.79 +6347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.15843072,0.025873117,0,0.79 +6348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.05028969,0.112070541,0,0.79 +6349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.51387113,1.026841905,0,0.79 +6352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.38261059,4.191880688,0,0.79 +6350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.76769389,4.143909426,0,0.79 +6351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.17648025,0.121019992,0,0.79 +6353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.53846238,1.56526713,0,0.79 +6354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.975806592,3.031338254,0,0.79 +6355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.75506478,3.629537973,0,0.79 +6356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.38509706,0.591750251,0,0.79 +6357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.57173627,3.8283235,0,0.79 +6358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.02677142,-0.093924955,0,0.79 +6359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.55440805,4.605609384,0,0.79 +6361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.29894833,1.132935507,0,0.79 +6362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.31738394,1.622831466,0,0.79 +6363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.8017653,-1.567318673,0,0.79 +6360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.32942707,0.124365348,0,0.79 +6364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.28145796,-0.55069831,0,0.79 +6365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.56571765,3.350653659,0,0.79 +6367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.21278694,0.925285231,0,0.79 +6366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.45313751,-1.064957334,0,0.79 +6368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.21772693,1.028105255,0,0.79 +6369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.69834765,6.621616162,0,0.79 +6370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.06274823,0.764755667,0,0.79 +6371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.0515829,5.609041239,0,0.79 +6372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.14636773,3.974214565,0,0.79 +6373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.0885171,3.18575715,0,0.79 +6374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.18434786,2.054708633,0,0.79 +6375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.23524756,2.890140157,0,0.79 +6376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.43563179,0.869411583,0,0.79 +6377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.6049323,4.525033513,0,0.79 +6378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.54340661,2.425792371,0,0.79 +6381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.36177904,3.073571265,0,0.79 +6380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.69785321,0.65214695,0,0.79 +6379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.27234506,2.796875778,0,0.79 +6382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.47781848,2.87297593,0,0.79 +6383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.19093019,0.424207987,0,0.79 +6384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.75439369,0.513761963,0,0.79 +6385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.50698664,0.298507754,0,0.79 +6386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.85961648,2.733764305,0,0.79 +6387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.20451584,-0.262058747,0,0.79 +6388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.20678957,5.258694486,0,0.79 +6389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.06734683,2.248182535,0,0.79 +6390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.05572292,3.125271342,0,0.79 +6391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.26612368,-1.968881411,0,0.79 +6392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.51962001,-0.03188635,0,0.79 +6393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.25053484,-0.506009316,0,0.79 +6394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.46979564,2.837689057,0,0.79 +6396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.04996181,2.661521253,0,0.79 +6395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.73952285,2.432816738,0,0.79 +6398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.43769009,2.839330399,0,0.79 +6399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.989711923,-0.800718007,0,0.79 +6400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.58128146,-0.562187997,0,0.79 +6397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.23335288,1.646779921,0,0.79 +6401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.39181535,1.273026561,0,0.79 +6402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.33358067,3.368550883,0,0.79 +6403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.27044974,3.131770289,0,0.79 +6404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.02309132,0.94649597,0,0.79 +6405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.5708668,1.304641575,0,0.79 +6406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.7289509,-2.143723242,0,0.79 +6407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.27965244,3.168062947,0,0.79 +6409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.05548763,6.95519775,0,0.79 +6408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.25154054,-0.653242031,0,0.79 +6410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.38812016,1.86246185,0,0.79 +6411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.49735525,2.654555422,0,0.79 +6412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.17636516,0.038629702,0,0.79 +6413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.57953724,-0.096708962,0,0.79 +6414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.28018166,4.518332541,0,0.79 +6415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.1283034,0.29241244,0,0.79 +6416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.13258791,1.921418441,0,0.79 +6418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.72953539,3.317539802,0,0.79 +6419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.18947769,1.760773709,0,0.79 +6417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.52253052,-1.783329422,0,0.79 +6420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.29494466,-0.820133302,0,0.79 +6421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.05240647,2.474917986,0,0.79 +6422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.21094357,7.924063018,0,0.79 +6423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.47152439,7.173477281,0,0.79 +6424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.35763882,3.570960623,0,0.79 +6425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.04392149,5.189119666,0,0.79 +6426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.43889331,0.816486482,0,0.79 +6428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.4143103,2.008534076,0,0.79 +6427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.68956343,0.929390188,0,0.79 +6429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.0402705,1.147362884,0,0.79 +6431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.39016439,-0.506072935,0,0.79 +6430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.35265757,3.734171947,0,0.79 +6432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.21495788,-1.710874893,0,0.79 +6433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.86623147,4.29850474,0,0.79 +6435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.22856245,2.445369461,0,0.79 +6434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.66420831,3.71892411,0,0.79 +6437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.78368341,1.091803258,0,0.79 +6436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.39288629,4.483213065,0,0.79 +6439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.8770637,2.766393391,0,0.79 +6438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.68375749,2.164682009,0,0.79 +6440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.10810912,0.485624342,0,0.79 +6441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.33642114,-2.384546462,0,0.79 +6443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.10824536,-2.438831857,0,0.79 +6442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.03868848,0.494129072,0,0.79 +6446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.0294297,1.71065578,0,0.79 +6445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.05805967,-1.150860233,0,0.79 +6444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.08290198,2.990799665,0,0.79 +6447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.20196685,-1.037348192,0,0.79 +6448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.39430345,3.394806948,0,0.79 +6449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.56966021,0.559581408,0,0.79 +6450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.12022591,4.78370875,0,0.79 +6451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.266739,3.808074128,0,0.79 +6452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.05341834,2.572687502,0,0.79 +6454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.64188274,-0.612883142,0,0.79 +6453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.72312383,-1.078619207,0,0.79 +6456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.53824551,-0.561680024,0,0.79 +6455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.42261009,-2.159571075,0,0.79 +6457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.20757125,1.628450389,0,0.79 +6458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.36672093,3.59034466,0,0.79 +6459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.13490618,3.884011915,0,0.79 +6460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.33874237,4.339695725,0,0.79 +6461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.45980626,4.519288011,0,0.79 +6462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.26158502,1.802066753,0,0.79 +6463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.34297227,0.964143152,0,0.79 +6465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.60362332,4.186803223,0,0.79 +6464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.6301884,0.77916142,0,0.79 +6467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.38089535,1.15879568,0,0.79 +6466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.7342361,1.067537416,0,0.79 +6468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.39550475,0.059361757,0,0.79 +6469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.19511519,1.443545098,0,0.79 +6470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.26673851,1.159115982,0,0.79 +6471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.12988166,3.437422254,0,0.79 +6472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.8510668,1.517032374,0,0.79 +6474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.17124459,3.490277569,0,0.79 +6473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.988910936,1.509595655,0,0.79 +6475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.53574753,3.016370757,0,0.79 +6476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.43048637,0.405606481,0,0.79 +6478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.5322495,0.33235914,0,0.79 +6477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.21013687,-1.413667227,0,0.79 +6479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.57627838,-1.413442958,0,0.79 +6481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.60323022,1.824880679,0,0.79 +6480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.56115308,2.757475582,0,0.79 +6482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.59357698,4.033363,0,0.79 +6483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.42606686,0.981899556,0,0.79 +6484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.70507862,1.352706524,0,0.79 +6485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.82918051,1.623749122,0,0.79 +6486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.39971352,3.726959727,0,0.79 +6487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.47812644,5.348165255,0,0.79 +6488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.11167535,-0.058892657,0,0.79 +6489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.31958384,1.98756961,0,0.79 +6491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.2852437,-1.824101103,0,0.79 +6490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.39306614,0.87829782,0,0.79 +6492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.2481963,2.479005949,0,0.79 +6493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.30066603,3.610431007,0,0.79 +6494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.3597958,1.478340328,0,0.79 +6495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.21378824,0.313988394,0,0.79 +6496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.4308763,3.568084686,0,0.79 +6497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.66359507,1.252238523,0,0.79 +6500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.2682331,-1.235187424,0,0.79 +6501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.60836296,-0.046885927,0,0.79 +6498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.17418726,2.659876433,0,0.79 +6502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.51786462,4.478843404,0,0.79 +6499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.43205172,1.38178741,0,0.79 +6503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.79721211,0.095131613,0,0.79 +6504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.03675526,1.849897419,0,0.79 +6505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.72803183,3.162937562,0,0.79 +6506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.57922961,3.168193622,0,0.79 +6507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.21184484,-1.076528424,0,0.79 +6508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.33446437,0.823121078,0,0.79 +6509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.11124786,-3.138024692,0,0.79 +6510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.18519085,0.24735028,0,0.79 +6511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.01307931,0.6838366,0,0.79 +6512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.27474328,1.607218498,0,0.79 +6513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.25661065,4.066388656,0,0.79 +6514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.24507354,2.118595043,0,0.79 +6515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.56869347,0.101489811,0,0.79 +6516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.6969728,-2.115656468,0,0.79 +6517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.4454382,-4.489176234,0,0.79 +6519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.65183114,1.619656817,0,0.79 +6520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.60491104,1.79454813,0,0.79 +6521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.4088827,1.72774585,0,0.79 +6518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.44882805,1.699982128,0,0.79 +6522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.53340367,-1.618121333,0,0.79 +6523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.2113176,1.42071328,0,0.79 +6524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.40337355,0.648009716,0,0.79 +6525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.46271137,2.194290725,0,0.79 +6526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.90735969,1.792179208,0,0.79 +6527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.67299303,1.953446195,0,0.79 +6528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.34195504,1.286642322,0,0.79 +6529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.25574899,2.158852185,0,0.79 +6530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.63292934,-0.794881465,0,0.79 +6531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.53408092,2.935280652,0,0.79 +6532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.49737755,0.86068501,0,0.79 +6533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.3399746,4.060791378,0,0.79 +6534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.15156845,-1.816652689,0,0.79 +6535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.55437872,-4.115316777,0,0.79 +6536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.25237663,1.251962706,0,0.79 +6538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.18957517,1.524939253,0,0.79 +6539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.03200123,-0.545712556,0,0.79 +6540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.10560734,0.764155308,0,0.79 +6537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.40320566,3.132511378,0,0.79 +6541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.43900365,0.462238681,0,0.79 +6542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.45710463,2.633870378,0,0.79 +6543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.39372088,2.150084913,0,0.79 +6544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.92470198,2.862187443,0,0.79 +6545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.63948886,0.68907651,0,0.79 +6547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.40147532,5.96307021,0,0.79 +6546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.56125204,-0.021217356,0,0.79 +6548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.13737428,0.390690186,0,0.79 +6550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.07571705,1.16571166,0,0.79 +6549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.28110385,-0.031566712,0,0.79 +6551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.67116753,3.082608035,0,0.79 +6552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.33457877,2.247826821,0,0.79 +6553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.07917769,0.231590098,0,0.79 +6554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.18766633,-0.521931517,0,0.79 +6555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.29659223,1.193935879,0,0.79 +6558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.15147391,0.493443867,0,0.79 +6557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.08513447,2.82897006,0,0.79 +6556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.929212373,2.629680333,0,0.79 +6559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.09805164,-0.308239699,0,0.79 +6561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.64160567,2.680799816,0,0.79 +6560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.12205812,1.280853731,0,0.79 +6563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.43926705,-0.501937658,0,0.79 +6562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.00835199,-1.731303799,0,0.79 +6564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.05578121,1.293344763,0,0.79 +6565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.00204341,0.73061178,0,0.79 +6566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.957343287,-1.399372086,0,0.79 +6567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.18938878,4.192698582,0,0.79 +6568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.19650096,-0.737304172,0,0.79 +6569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.04228099,3.284435046,0,0.79 +6571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.60223471,1.135126722,0,0.79 +6570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.62351951,-2.619304172,0,0.79 +6573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.2765575,2.508664142,0,0.79 +6572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.50492644,1.757758541,0,0.79 +6575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.34737334,1.355020908,0,0.79 +6576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.961613364,2.137925783,0,0.79 +6577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.36295829,1.199552727,0,0.79 +6574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.19417825,1.857147149,0,0.79 +6579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.50464874,-0.576744516,0,0.79 +6578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.50151,0.775412917,0,0.79 +6580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.03691173,-0.729339229,0,0.79 +6581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.72870508,1.483099218,0,0.79 +6582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.25007898,0.707001315,0,0.79 +6583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.32711239,1.54470779,0,0.79 +6584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.65486082,2.484869462,0,0.79 +6585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.0055298,3.797954622,0,0.79 +6586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.28854727,3.720814401,0,0.79 +6587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.35620855,0.888973572,0,0.79 +6588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.47182096,-0.548163335,0,0.79 +6589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.42820551,4.057606831,0,0.79 +6590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.60518282,0.603115172,0,0.79 +6591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.47174119,-0.795917638,0,0.79 +6592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.31465243,1.442452601,0,0.79 +6595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.14034425,0.231070858,0,0.79 +6594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.67610902,3.037084486,0,0.79 +6593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.6724332,0.635629078,0,0.79 +6596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.72598437,1.834536485,0,0.79 +6597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.61058251,1.902477308,0,0.79 +6598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.39454432,1.127998142,0,0.79 +6600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.56499685,0.231719986,0,0.79 +6599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.34755297,1.970412286,0,0.79 +6601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.11370543,0.728517242,0,0.79 +6602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.41974263,4.305898577,0,0.79 +6603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.39515484,1.702783554,0,0.79 +6604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.09034005,2.96920198,0,0.79 +6605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.02251341,2.029770266,0,0.79 +6606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.19633957,3.477335479,0,0.79 +6608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.32342995,-0.968758627,0,0.79 +6607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.42934509,5.320544605,0,0.79 +6609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.16753684,2.678071058,0,0.79 +6610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.61274678,-2.630018306,0,0.79 +6612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.12410421,-0.156919971,0,0.79 +6613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.996424059,3.100289019,0,0.79 +6614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.16674685,-0.336798728,0,0.79 +6611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.27848196,-0.986754998,0,0.79 +6615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.20203787,-1.089898578,0,0.79 +6616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.53007879,0.867971458,0,0.79 +6618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.67861152,1.066582713,0,0.79 +6617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.4385145,1.366201918,0,0.79 +6619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.19639273,3.747546912,0,0.79 +6620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.0965938,4.254484024,0,0.79 +6621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.77063654,4.580913745,0,0.79 +6622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.11725583,-1.033825458,0,0.79 +6623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.58914835,1.433598745,0,0.79 +6625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.19001039,0.126847802,0,0.79 +6626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.76157625,1.483491283,0,0.79 +6624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.07722035,2.062965228,0,0.79 +6628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.59988674,1.791002784,0,0.79 +6629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.5194514,-0.860172318,0,0.79 +6627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.25094348,4.106380798,0,0.79 +6631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.939041018,-0.900094195,0,0.79 +6632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.83107915,-0.371917882,0,0.79 +6630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.08211363,2.829709509,0,0.79 +6633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.69323069,-0.459778536,0,0.79 +6634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.81567355,-0.584496734,0,0.79 +6635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.17944803,1.582584842,0,0.79 +6637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.26878345,1.89510646,0,0.79 +6636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.58281485,1.050243646,0,0.79 +6638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.3212092,2.221301782,0,0.79 +6639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.12860018,3.924257769,0,0.79 +6641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.30551092,1.796818225,0,0.79 +6640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.17914159,5.875315112,0,0.79 +6642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.08152089,0.390330051,0,0.79 +6643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.48453392,3.138729463,0,0.79 +6645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.1311609,1.418376627,0,0.79 +6644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.33214618,3.010005115,0,0.79 +6646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.23965308,3.22781522,0,0.79 +6647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.51827426,-1.72516205,0,0.79 +6648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.11213151,0.432430546,0,0.79 +6650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.07518268,1.630757615,0,0.79 +6649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.76020772,4.649155412,0,0.79 +6651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.35276365,2.277387338,0,0.79 +6652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.63275926,-0.915174228,0,0.79 +6653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.777256,-3.33302932,0,0.79 +6654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.67848827,4.28007679,0,0.79 +6656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.73708147,2.16785596,0,0.79 +6655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.49425942,-1.477058667,0,0.79 +6657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.7058753,3.707029784,0,0.79 +6659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.62231124,2.939323309,0,0.79 +6658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.26727751,1.325003232,0,0.79 +6660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.43486812,3.39340353,0,0.79 +6661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.56554728,3.511211874,0,0.79 +6662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.23354118,1.545352043,0,0.79 +6664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.28249799,-4.363590525,0,0.79 +6665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.47971861,3.684126068,0,0.79 +6663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.3150221,-0.096574207,0,0.79 +6666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.53683309,-0.624225568,0,0.79 +6668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.41660661,2.270547606,0,0.79 +6667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.22514211,2.542119579,0,0.79 +6669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.72554473,4.533356532,0,0.79 +6670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.003841,0.991080483,0,0.79 +6672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.60873558,2.011413213,0,0.79 +6674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.22672107,1.959865904,0,0.79 +6671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.48368798,3.433954357,0,0.79 +6673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.09716836,5.694174346,0,0.79 +6675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.958885613,4.468045939,0,0.79 +6677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.35517002,1.963993906,0,0.79 +6676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.995235258,3.722472944,0,0.79 +6678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.15800705,1.646145143,0,0.79 +6680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.75328073,2.948145256,0,0.79 +6679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.31917551,3.931875864,0,0.79 +6681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.35971644,0.362602386,0,0.79 +6682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.42568333,2.176720478,0,0.79 +6684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.74252378,2.890151543,0,0.79 +6683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.56800691,4.374065477,0,0.79 +6686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.23789829,-0.665664707,0,0.79 +6685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.976893322,-1.126752928,0,0.79 +6688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.66377371,1.229514549,0,0.79 +6689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.4336211,1.317868374,0,0.79 +6687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.10709993,1.910382278,0,0.79 +6692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.42696274,2.240267504,0,0.79 +6691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.69361693,2.491182055,0,0.79 +6690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.75044269,4.25486384,0,0.79 +6693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.7191006,-1.395162944,0,0.79 +6694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.00838075,0.852552534,0,0.79 +6696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.68513246,1.023304706,0,0.79 +6697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.32017721,0.339299245,0,0.79 +6695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.30615888,0.178717018,0,0.79 +6699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.33910302,2.084480692,0,0.79 +6698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.75005711,-0.411951922,0,0.79 +6700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.97075856,1.372966669,0,0.79 +6701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.68456823,0.507775978,0,0.79 +6702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.72713552,3.698751253,0,0.79 +6703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.56117967,1.939339232,0,0.79 +6704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.34534913,0.171248569,0,0.79 +6705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.56965728,1.737025314,0,0.79 +6707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.39143162,0.325184787,0,0.79 +6708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.32275946,2.62729794,0,0.79 +6709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.00183702,1.879871784,0,0.79 +6706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.40081208,0.369887755,0,0.79 +6711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.981788132,-1.305245914,0,0.79 +6713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.36776872,-0.006448164,0,0.79 +6710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.74320486,1.720605761,0,0.79 +6712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.07416103,2.904042484,0,0.79 +6715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.6051671,0.144277216,0,0.79 +6714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.81870762,-0.487313041,0,0.79 +6717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.21665194,1.384970707,0,0.79 +6716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.66016665,2.400879506,0,0.79 +6720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.980087315,0.37701283,0,0.79 +6721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.2189794,4.827899683,0,0.79 +6719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.6359373,-0.701237942,0,0.79 +6722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.17981182,2.133215765,0,0.79 +6723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.62721363,2.089515838,0,0.79 +6718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.15534631,2.46843262,0,0.79 +6724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.47529478,4.499352939,0,0.79 +6725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.52432517,1.842677252,0,0.79 +6728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.44834918,2.01749769,0,0.79 +6727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.46362042,4.632310741,0,0.79 +6726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.10844112,-0.731086141,0,0.79 +6730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.37977723,2.573523105,0,0.79 +6731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.45345058,-0.665012004,0,0.79 +6732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.22137657,1.141547177,0,0.79 +6733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.41380772,-1.289914379,0,0.79 +6729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.51529959,-1.01866884,0,0.79 +6734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.880545312,6.934425268,0,0.79 +6735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.58824552,0.563625151,0,0.79 +6736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.69365204,2.5095945,0,0.79 +6739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.24507284,0.226779813,0,0.79 +6738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.79736158,-2.998224226,0,0.79 +6740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.939771099,1.064063348,0,0.79 +6737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.11101767,1.418023122,0,0.79 +6741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.39596523,2.263434292,0,0.79 +6742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.77008432,-1.734438426,0,0.79 +6743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.28237693,0.486037834,0,0.79 +6746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.69807652,2.859195131,0,0.79 +6747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.46175656,-2.896363488,0,0.79 +6745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.45445612,-0.188256859,0,0.79 +6748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.11880712,-0.179355884,0,0.79 +6749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.23824194,-0.598041302,0,0.79 +6744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.926832753,2.337390725,0,0.79 +6751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.4158291,1.864805669,0,0.79 +6750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.55262597,0.992024037,0,0.79 +6752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.06848239,3.532583723,0,0.79 +6754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.57154695,8.162849853,0,0.79 +6753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.22419993,1.321720363,0,0.79 +6755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.23781853,2.53802189,0,0.79 +6756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.46594674,3.077002143,0,0.79 +6757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.89056968,4.746389196,0,0.79 +6758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.2329053,-3.618083405,0,0.79 +6759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.84101253,1.175892058,0,0.79 +6760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.78157442,1.918076545,0,0.79 +6762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.4734054,2.78160464,0,0.79 +6763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.26064959,3.739215928,0,0.79 +6764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.77158623,-0.973029041,0,0.79 +6761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.14249286,1.150483157,0,0.79 +6766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.45841357,4.095758036,0,0.79 +6765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.48504565,1.77410071,0,0.79 +6767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.67243258,3.849286624,0,0.79 +6768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.09002415,-1.414800242,0,0.79 +6769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.0635279,2.588882874,0,0.79 +6770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.58430022,2.482659805,0,0.79 +6772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.74736388,0.049409833,0,0.79 +6771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.27742682,2.842143492,0,0.79 +6773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.75966016,-0.584145115,0,0.79 +6774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.3457409,5.998756213,0,0.79 +6776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.21926001,-0.645668634,0,0.79 +6777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.905890754,1.612648134,0,0.79 +6775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.56735557,-0.370049342,0,0.79 +6778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.59071697,1.585156186,0,0.79 +6780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.961283249,2.482595149,0,0.79 +6779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.63443546,-0.985665256,0,0.79 +6781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.71148482,3.36555176,0,0.79 +6783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.37279289,4.058632308,0,0.79 +6785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.27204386,4.1270135,0,0.79 +6782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.05786461,4.891534765,0,0.79 +6784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.4851525,2.554299141,0,0.79 +6786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.44488948,3.667650577,0,0.79 +6787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.15211019,-0.689895572,0,0.79 +6788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.62786366,0.099283967,0,0.79 +6789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.50954426,3.271337068,0,0.79 +6790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.20582311,2.274191015,0,0.79 +6791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.687521,0.584719163,0,0.79 +6792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.53269561,0.17363365,0,0.79 +6793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.42821481,4.373228502,0,0.79 +6795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.25546914,1.528914,0,0.79 +6794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.73463817,1.9334798,0,0.79 +6796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.03679007,2.180421207,0,0.79 +6797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.73108481,2.460936507,0,0.79 +6798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.08696188,3.247646182,0,0.79 +6799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.76403523,3.461415605,0,0.79 +6801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.55922737,3.270165501,0,0.79 +6802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.68504004,1.002283708,0,0.79 +6800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.26330814,1.277229384,0,0.79 +6803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.37161315,2.990925932,0,0.79 +6804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.73685895,-0.039742314,0,0.79 +6805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.991874593,3.279019836,0,0.79 +6808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.53010076,4.140491159,0,0.79 +6806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.69607118,0.157909269,0,0.79 +6809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.62188609,1.601528517,0,0.79 +6811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.13496253,-1.141749646,0,0.79 +6807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.56259123,-1.167968976,0,0.79 +6810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.04335068,0.783510946,0,0.79 +6812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.39306412,2.08872993,0,0.79 +6813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.3223507,-0.80905835,0,0.79 +6814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.11566827,1.248573745,0,0.79 +6815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.01185895,1.564889388,0,0.79 +6816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.36637519,2.468274236,0,0.79 +6818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.20907458,2.920061801,0,0.79 +6817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.59419372,-0.711554441,0,0.79 +6820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.05941137,0.784904437,0,0.79 +6821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.947416531,-1.248605509,0,0.79 +6819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.26110228,3.85307352,0,0.79 +6822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.14890272,4.301449203,0,0.79 +6823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.05788649,2.378343798,0,0.79 +6824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.954954035,1.170229501,0,0.79 +6826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.3183007,3.060814399,0,0.79 +6827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.07065612,-1.675822374,0,0.79 +6828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.68288548,1.19217288,0,0.79 +6825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.53100352,4.644662892,0,0.79 +6829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.39566101,0.211492911,0,0.79 +6830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.70304811,4.669045435,0,0.79 +6831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.54118508,1.886755738,0,0.79 +6833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.23344491,-0.296232366,0,0.79 +6832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.67022219,6.24741782,0,0.79 +6834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.75467716,3.336298252,0,0.79 +6836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.26968813,1.02830092,0,0.79 +6835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.33676763,-0.013160683,0,0.79 +6837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.35253617,0.850047102,0,0.79 +6839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.962091188,-0.169256591,0,0.79 +6838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.54992523,-1.191523192,0,0.79 +6841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.20886906,4.010807905,0,0.79 +6840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.52737336,1.712571455,0,0.79 +6842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.0288949,-1.362946354,0,0.79 +6843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.33143273,-0.672839287,0,0.79 +6844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.70516153,4.893880266,0,0.79 +6845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.78040289,2.078776497,0,0.79 +6847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.23433286,4.387041235,0,0.79 +6849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.33863897,0.595409558,0,0.79 +6848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.50224309,4.551926311,0,0.79 +6846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.59832122,1.594124961,0,0.79 +6851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.44928241,2.777660207,0,0.79 +6852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.73603753,2.867272561,0,0.79 +6850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.77099689,1.959087683,0,0.79 +6853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.75229408,3.493279167,0,0.79 +6854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.75706754,-0.572508608,0,0.79 +6857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.43096507,2.965726322,0,0.79 +6855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.32830507,-0.439371501,0,0.79 +6858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.69567182,-0.218532011,0,0.79 +6859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.31196312,1.035393336,0,0.79 +6860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.28510247,1.456714775,0,0.79 +6856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.64959316,0.825616228,0,0.79 +6862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.533693,0.591912767,0,0.79 +6863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.25139474,0.730431992,0,0.79 +6864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.34260434,-0.234313113,0,0.79 +6865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.68365858,1.231403232,0,0.79 +6867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.285567,3.063367229,0,0.79 +6861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.25642649,1.910416619,0,0.79 +6866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.61410062,-0.254930452,0,0.79 +6868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.06405491,-0.076415312,0,0.79 +6869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.17355516,3.463702446,0,0.79 +6870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.4332391,2.768831304,0,0.79 +6871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.46951733,-0.70620508,0,0.79 +6872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.27254632,3.423973337,0,0.79 +6875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.70139776,1.080867086,0,0.79 +6873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.13046709,2.130199302,0,0.79 +6874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.57329347,-0.365237982,0,0.79 +6876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.22781191,3.61487483,0,0.79 +6877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.59748172,-0.618972644,0,0.79 +6879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.08032053,0.238908234,0,0.79 +6878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.15955661,-0.730118696,0,0.79 +6880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.03108105,2.516815653,0,0.79 +6882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.5018772,0.395825094,0,0.79 +6881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.19823913,-0.685348669,0,0.79 +6884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.39521854,0.694568837,0,0.79 +6885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.09113105,2.111579622,0,0.79 +6883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.84505203,0.309388517,0,0.79 +6886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.05824979,-1.923584206,0,0.79 +6887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.60515015,1.22188064,0,0.79 +6888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.42307213,1.931147141,0,0.79 +6890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.959441912,1.741406318,0,0.79 +6889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.44721457,-2.359139131,0,0.79 +6891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.64491119,3.025721816,0,0.79 +6892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.00292256,0.579170526,0,0.79 +6895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.920563042,2.42772809,0,0.79 +6896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.56579053,-0.913873323,0,0.79 +6893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.32213442,4.390742921,0,0.79 +6894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.68255401,-3.04178061,0,0.79 +6898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.5200043,5.087225375,0,0.79 +6897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.80466412,2.588300968,0,0.79 +6899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.64462198,-1.245476344,0,0.79 +6900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.36216682,0.474840999,0,0.79 +6901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.14150568,-0.661844018,0,0.79 +6902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.4569106,4.699835064,0,0.79 +6903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.13227563,3.298937804,0,0.79 +6904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.5747384,2.498465036,0,0.79 +6906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.02361592,-2.191170766,0,0.79 +6905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.73323138,4.599366889,0,0.79 +6907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.56001964,-1.663742033,0,0.79 +6909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.42969289,4.907129769,0,0.79 +6908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.621002,2.893711127,0,0.79 +6910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.60715049,0.896135251,0,0.79 +6912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.19373467,1.767705918,0,0.79 +6913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.09241259,0.885015916,0,0.79 +6914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.15791072,1.189063975,0,0.79 +6915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.33063762,3.352195542,0,0.79 +6911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.44066291,-2.51495556,0,0.79 +6916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.88141253,1.617378754,0,0.79 +6917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.894162645,0.88398109,0,0.79 +6918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.6224633,3.235210073,0,0.79 +6919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.68027157,-0.278952846,0,0.79 +6920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.8115282,3.066855147,0,0.79 +6921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.27295795,2.019850003,0,0.79 +6922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.63610568,3.534250929,0,0.79 +6925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.10667904,1.588007519,0,0.79 +6924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.07813412,-0.079271938,0,0.79 +6927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.76770413,0.905504957,0,0.79 +6926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.27390549,3.101344892,0,0.79 +6923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.63876972,0.44933828,0,0.79 +6929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.7018961,3.120643419,0,0.79 +6928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.33911945,3.96831644,0,0.79 +6930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.97260569,3.798450739,0,0.79 +6931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.21593868,1.148823543,0,0.79 +6932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.03958891,0.395208968,0,0.79 +6933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.10504567,0.639371146,0,0.79 +6935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.30691325,2.404587929,0,0.79 +6934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.77202004,-0.246585449,0,0.79 +6936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.3457934,2.326305545,0,0.79 +6937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.62379592,4.020085927,0,0.79 +6938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.24909514,3.728543401,0,0.79 +6940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.40419924,-0.253809237,0,0.79 +6939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.70974172,1.210368412,0,0.79 +6941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.29986435,1.787613333,0,0.79 +6943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.12709394,0.028663033,0,0.79 +6945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.13713594,-2.803767955,0,0.79 +6944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.61235294,2.490360613,0,0.79 +6942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.15716562,0.790041025,0,0.79 +6946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.00712943,4.544801963,0,0.79 +6948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.76241376,2.473097704,0,0.79 +6947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.10375689,1.075146863,0,0.79 +6950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.34470923,1.502217675,0,0.79 +6949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.03942455,3.667314803,0,0.79 +6952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.66898791,-0.142728128,0,0.79 +6951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.53842421,3.830671762,0,0.79 +6953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.65530079,1.196136668,0,0.79 +6954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.07925558,2.074337875,0,0.79 +6955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.50891626,3.033381453,0,0.79 +6956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.70238308,-0.285825312,0,0.79 +6958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.78908388,2.397265075,0,0.79 +6957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.10235456,-1.706010583,0,0.79 +6960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.53371203,-0.235709336,0,0.79 +6959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.2177797,7.072489298,0,0.79 +6963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.55652057,-1.913194337,0,0.79 +6962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.31621316,1.978675887,0,0.79 +6964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.53955637,2.608347565,0,0.79 +6961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.20856052,3.028063249,0,0.79 +6965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.05199765,4.517773446,0,0.79 +6966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.06044479,3.186231277,0,0.79 +6968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.75601623,0.471424578,0,0.79 +6967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.5677175,3.518413162,0,0.79 +6969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.48772031,1.623781847,0,0.79 +6970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-9.912092231,2.184608149,0,0.79 +6971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.72187911,0.764893496,0,0.79 +6972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.32727655,-2.24679156,0,0.79 +6973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.76230644,2.161316545,0,0.79 +6976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.37966977,0.279506568,0,0.79 +6979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.21998415,1.726407583,0,0.79 +6975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.46933966,1.872369679,0,0.79 +6974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.70765259,0.596044693,0,0.79 +6977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.35903215,0.679359709,0,0.79 +6978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.1809648,3.403152147,0,0.79 +6981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.23343063,-0.266133072,0,0.79 +6984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.57795665,0.305542523,0,0.79 +6983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.20207816,5.688405195,0,0.79 +6985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.08436089,5.651581006,0,0.79 +6986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.5851674,3.025683577,0,0.79 +6987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.54759655,5.166391355,0,0.79 +6982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.27372684,-1.128999819,0,0.79 +6980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.71473507,3.455808674,0,0.79 +6988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.01796411,5.391120568,0,0.79 +6991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.2198286,1.003400162,0,0.79 +6990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.72357035,0.641443094,0,0.79 +6994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.17672284,4.223306949,0,0.79 +6992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.09199332,-0.259768083,0,0.79 +6993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.53515709,3.792739886,0,0.79 +6989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.54007156,3.937019151,0,0.79 +6995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.68163737,0.144345331,0,0.79 +6996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.59193426,1.381389597,0,0.79 +6998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.44489744,0.394510617,0,0.79 +6997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.08251507,0.223791407,0,0.79 +7000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.22122548,-1.200337247,0,0.79 +6999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.3,10,1,-10.76344844,2.545602295,0,0.79 +7001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.57591271,1.6841473,0,0.405 +7002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.32877707,-0.263182137,0,0.405 +7003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.03627036,2.018080088,0,0.405 +7004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.7146807,1.168661395,0,0.405 +7005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.22774376,1.792041049,0,0.405 +7006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.79343168,-2.799435145,0,0.405 +7008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.23967289,-0.366503288,0,0.405 +7010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.30140188,-0.220151662,0,0.405 +7007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.08445912,3.028878218,0,0.405 +7009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.43614614,-1.823367839,0,0.405 +7011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.877311411,-0.802952437,0,0.405 +7012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.44848601,0.084049919,0,0.405 +7013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.24732323,-0.440514735,0,0.405 +7014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.7757772,-0.405287185,0,0.405 +7016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.61426449,5.036788061,0,0.405 +7017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.30611652,0.762642265,0,0.405 +7018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.59317466,-2.91371535,0,0.405 +7015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.17396435,-1.11500537,0,0.405 +7020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.28012296,3.949738803,0,0.405 +7021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.70399297,-1.577339107,0,0.405 +7019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.2716613,0.550290864,0,0.405 +7022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.29369717,-0.384681469,0,0.405 +7023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.85230323,-3.811370561,0,0.405 +7024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.939915334,-1.702585837,0,0.405 +7026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.48152638,-1.092114602,0,0.405 +7025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.20680435,-2.002537976,0,0.405 +7027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.30987242,-0.145003256,0,0.405 +7029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.80435109,2.72580565,0,0.405 +7031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.68464705,0.232006049,0,0.405 +7032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.74141728,-1.523591034,0,0.405 +7028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.4281714,-2.115803551,0,0.405 +7034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.05452416,1.55267637,0,0.405 +7033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.30141089,1.576572417,0,0.405 +7030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.69868536,0.777775192,0,0.405 +7035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.3352114,-1.355212005,0,0.405 +7037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.52981314,1.144013014,0,0.405 +7038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.20640811,-2.311545412,0,0.405 +7039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.46902612,-0.958713342,0,0.405 +7041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.11950947,3.783498422,0,0.405 +7042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.63251807,3.163675127,0,0.405 +7040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.33727756,3.257200625,0,0.405 +7036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.71783097,-0.628291518,0,0.405 +7043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.22935181,-3.241638324,0,0.405 +7045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.52424779,0.572354107,0,0.405 +7044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.53672797,-0.205602168,0,0.405 +7046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.984878522,0.525134713,0,0.405 +7047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.46835888,-2.636807272,0,0.405 +7050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.52129945,-4.824450022,0,0.405 +7049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.963834884,1.979544545,0,0.405 +7051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.987619196,-3.605510612,0,0.405 +7048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.76596428,1.266986313,0,0.405 +7052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.20294759,0.635427299,0,0.405 +7053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.49189413,-1.312028361,0,0.405 +7054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.666391,-2.765642653,0,0.405 +7055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.12241229,1.480626498,0,0.405 +7057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.42764817,1.309301604,0,0.405 +7058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.05439983,-2.16061332,0,0.405 +7059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.55318286,-1.780972475,0,0.405 +7060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.56627991,-1.798978651,0,0.405 +7056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.62369086,-0.726475703,0,0.405 +7062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.64653533,1.617021019,0,0.405 +7061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.22860464,0.534664051,0,0.405 +7064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.26772799,3.918875665,0,0.405 +7063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.16641797,-0.309144793,0,0.405 +7065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.60528289,1.195245777,0,0.405 +7066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.50013937,-0.321914152,0,0.405 +7067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.42986323,0.028780158,0,0.405 +7068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.05339007,0.228820353,0,0.405 +7070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.05673108,-0.08104012,0,0.405 +7069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.04368162,-4.191346662,0,0.405 +7071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.79071013,0.394398264,0,0.405 +7072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.55564053,-1.687479844,0,0.405 +7073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.43918239,-2.773298666,0,0.405 +7074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.19132571,-0.410929055,0,0.405 +7075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.51459781,0.75901792,0,0.405 +7077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.985152556,1.191206151,0,0.405 +7078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.18564358,-1.119313111,0,0.405 +7076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.65432852,-0.914410244,0,0.405 +7080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.30948197,0.292421955,0,0.405 +7079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.57814897,-1.687391165,0,0.405 +7082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.28867191,-0.312984226,0,0.405 +7083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.28462311,-0.812128785,0,0.405 +7081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.59652247,4.135973068,0,0.405 +7084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.37766305,-1.855217968,0,0.405 +7085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.28168303,-0.725473921,0,0.405 +7086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.6766332,2.744428669,0,0.405 +7088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.37011408,3.203239583,0,0.405 +7087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.0474998,0.208522321,0,0.405 +7089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.71690064,-3.420529371,0,0.405 +7091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.19669477,0.288226565,0,0.405 +7090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.61751528,-1.634172342,0,0.405 +7092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.2847927,1.129460111,0,0.405 +7093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.5008589,0.729194247,0,0.405 +7096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.02414042,3.006024645,0,0.405 +7095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.47666694,4.284252725,0,0.405 +7097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.77854338,-1.357361263,0,0.405 +7098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.80139741,0.120082374,0,0.405 +7099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.47041367,1.679749131,0,0.405 +7094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.50745626,-3.661608346,0,0.405 +7100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.12286366,0.376798916,0,0.405 +7101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.63644854,-3.103610727,0,0.405 +7102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.18275984,3.551939147,0,0.405 +7103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.51036273,-0.78437842,0,0.405 +7104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.23845999,-2.328056943,0,0.405 +7105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.57731394,-2.435125926,0,0.405 +7106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.80703283,-5.456830905,0,0.405 +7107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.07824688,0.823648758,0,0.405 +7108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.25704964,1.312301656,0,0.405 +7109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.21272326,-1.415678003,0,0.405 +7110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.76433188,-2.744198361,0,0.405 +7111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.65278585,-3.797298478,0,0.405 +7112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.80409892,-1.077245289,0,0.405 +7113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.52973246,-4.24063928,0,0.405 +7114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.37086079,-1.336903601,0,0.405 +7116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.67981786,-0.759707749,0,0.405 +7115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.25440537,0.194197214,0,0.405 +7117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.05168931,-1.912707168,0,0.405 +7119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.972640492,0.033111175,0,0.405 +7118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.64386617,-0.441508041,0,0.405 +7121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.57750543,0.723535136,0,0.405 +7122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.02803599,0.536167067,0,0.405 +7120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.64232248,0.379485598,0,0.405 +7123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.25343748,-0.00118982,0,0.405 +7126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.29945344,-3.223021742,0,0.405 +7124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.46188091,-3.651991685,0,0.405 +7127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.74158723,-4.228416917,0,0.405 +7125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.18162832,1.882828551,0,0.405 +7128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.14260145,-2.813200311,0,0.405 +7130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.65615604,0.193123462,0,0.405 +7129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.12729868,3.709399941,0,0.405 +7131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.27346963,0.078795,0,0.405 +7134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.53917403,-0.12717729,0,0.405 +7135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.62462999,-1.267767862,0,0.405 +7133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.08711303,-0.654028462,0,0.405 +7132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.73709721,5.990866209,0,0.405 +7136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.26663281,0.825554185,0,0.405 +7138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.4608835,0.640260238,0,0.405 +7139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.47373132,-2.61760422,0,0.405 +7137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.15710851,-0.940699943,0,0.405 +7140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.997788808,2.282252871,0,0.405 +7141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.48681574,-2.857026769,0,0.405 +7143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.60722012,-0.420529227,0,0.405 +7144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.15330252,-1.527083581,0,0.405 +7145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.61121762,-0.153328868,0,0.405 +7146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.42535683,-3.265940716,0,0.405 +7142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.6576195,-0.633239729,0,0.405 +7147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.60980056,0.132574998,0,0.405 +7148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.924849861,2.399483354,0,0.405 +7149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.26782675,1.312111017,0,0.405 +7151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.992715929,-1.806455889,0,0.405 +7153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.56261363,-0.794430068,0,0.405 +7155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.01040473,-2.752512097,0,0.405 +7152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.64765527,-2.238912948,0,0.405 +7150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.37666545,2.271420639,0,0.405 +7156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.66838577,0.955042724,0,0.405 +7157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.0994847,-2.603225486,0,0.405 +7154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.979823743,-0.4607027,0,0.405 +7158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.31877134,0.658110778,0,0.405 +7159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.17396173,-1.683544175,0,0.405 +7161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.50058645,-4.268576738,0,0.405 +7162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.7165809,2.499271794,0,0.405 +7163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.08252938,-0.336642227,0,0.405 +7164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.82275866,-0.980387908,0,0.405 +7166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.1458125,-0.625898328,0,0.405 +7165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.12463219,0.991539222,0,0.405 +7160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.216019,2.39994213,0,0.405 +7167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.16553371,0.284940674,0,0.405 +7168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.47411704,-0.659679072,0,0.405 +7169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.40872479,-2.208949071,0,0.405 +7170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.62814495,1.224966175,0,0.405 +7172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.48760299,4.450324762,0,0.405 +7171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.44801588,-1.162245111,0,0.405 +7174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.33569035,-1.771142416,0,0.405 +7175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.53499869,-0.444466906,0,0.405 +7176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.34023161,2.264387808,0,0.405 +7177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.981956416,-1.427750656,0,0.405 +7178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.12116416,1.075544294,0,0.405 +7173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.58507268,0.687459987,0,0.405 +7180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.45584462,-3.547080978,0,0.405 +7179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.36952421,-3.426724538,0,0.405 +7182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.52809524,-3.361005732,0,0.405 +7183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.02357975,2.476922413,0,0.405 +7184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.39902203,0.307504753,0,0.405 +7185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.04737213,-4.313984931,0,0.405 +7181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.50007503,3.060068561,0,0.405 +7188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.6174216,-2.587444933,0,0.405 +7186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.09445202,-0.915385907,0,0.405 +7187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.69404914,1.446304055,0,0.405 +7189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.16215613,-2.604124151,0,0.405 +7190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.07321808,-0.986718821,0,0.405 +7191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.3757823,1.438408293,0,0.405 +7192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.72283015,-1.339367554,0,0.405 +7193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.7580898,-1.647560117,0,0.405 +7194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.14523678,-1.184308581,0,0.405 +7196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.25856255,-0.942345903,0,0.405 +7195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.37225378,0.803245053,0,0.405 +7197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.47912235,-0.589942365,0,0.405 +7198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.4567208,-0.400272944,0,0.405 +7199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.993234119,0.06162891,0,0.405 +7200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.41143496,1.337693659,0,0.405 +7202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.26819524,-0.283967668,0,0.405 +7203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.36004873,-0.83179341,0,0.405 +7201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.991613032,0.496652812,0,0.405 +7205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.24691491,-2.372479921,0,0.405 +7207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.85960726,-1.571565623,0,0.405 +7208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.37292271,-1.077796195,0,0.405 +7204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.69661878,-3.526392351,0,0.405 +7206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.64591245,-4.642833313,0,0.405 +7209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.42361859,-2.396365765,0,0.405 +7210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.59500937,2.074530191,0,0.405 +7212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.78051606,-4.965144182,0,0.405 +7211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.14198235,-0.944287736,0,0.405 +7213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.04570956,-3.706577977,0,0.405 +7215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.24847518,-0.292809433,0,0.405 +7216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.51027675,-2.215551181,0,0.405 +7218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.61452526,0.161043121,0,0.405 +7217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.77845097,-0.429372309,0,0.405 +7214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.32412435,1.378886401,0,0.405 +7219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.14134,1.38999338,0,0.405 +7220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.3965074,0.046291855,0,0.405 +7222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.22346059,-0.656922606,0,0.405 +7221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.42437237,-1.376002409,0,0.405 +7223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.68113643,1.64972432,0,0.405 +7225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.17962197,-1.482445541,0,0.405 +7224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.34213928,-0.827984838,0,0.405 +7227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.75220485,2.862946821,0,0.405 +7226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.56504261,0.685688744,0,0.405 +7228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.3902222,0.625902373,0,0.405 +7230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.52013488,-3.226018086,0,0.405 +7231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.72942663,-3.220745452,0,0.405 +7229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.58043818,-1.846225659,0,0.405 +7232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.23502967,-2.907720614,0,0.405 +7233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.65846469,-1.029608021,0,0.405 +7234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.19791695,-0.727603869,0,0.405 +7235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.1319107,-1.119926119,0,0.405 +7236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.64962599,0.07503656,0,0.405 +7237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.61072808,-2.497032606,0,0.405 +7239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.48917864,-1.530312055,0,0.405 +7238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.10962668,2.25078309,0,0.405 +7240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.37382953,0.946052042,0,0.405 +7241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.5712987,-3.03925866,0,0.405 +7242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.71389755,4.065971606,0,0.405 +7244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.26175152,-2.674140599,0,0.405 +7243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.38533219,-2.068038426,0,0.405 +7245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.76649401,-0.78264423,0,0.405 +7247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.68785376,2.14469887,0,0.405 +7248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.39915299,1.02998218,0,0.405 +7246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.46177028,-2.727110988,0,0.405 +7249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.54596396,-1.275340205,0,0.405 +7250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.68041379,-0.475665099,0,0.405 +7251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.80872226,-0.007030726,0,0.405 +7253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.36258749,-0.653856379,0,0.405 +7254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.44732847,3.835103464,0,0.405 +7255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.31831976,-0.629888156,0,0.405 +7256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.67761361,0.724993661,0,0.405 +7252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.08277014,-0.393238011,0,0.405 +7257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.45769161,0.017538029,0,0.405 +7258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.901667584,-1.265045522,0,0.405 +7260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.945665488,0.120167681,0,0.405 +7259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.1830185,2.421528755,0,0.405 +7262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.38838488,2.375141465,0,0.405 +7261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.61293952,2.854138413,0,0.405 +7263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.69367906,1.057892019,0,0.405 +7264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.03988569,-1.120927899,0,0.405 +7265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.23156853,-4.860793811,0,0.405 +7266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.1640183,-3.342693888,0,0.405 +7267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.21223491,-1.416403331,0,0.405 +7268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.18117498,-0.374601171,0,0.405 +7269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.15968375,-0.279943926,0,0.405 +7270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.45622529,0.589283768,0,0.405 +7271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.25947372,-1.090703078,0,0.405 +7272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.15820634,0.370140071,0,0.405 +7273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.57209907,1.785784947,0,0.405 +7274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.84783792,0.598900521,0,0.405 +7275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.25060709,0.476607373,0,0.405 +7276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.28607049,0.790010477,0,0.405 +7279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.75218124,-0.241196739,0,0.405 +7278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.42010906,4.314750653,0,0.405 +7277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.37943464,-3.765783048,0,0.405 +7282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.2890035,2.849835707,0,0.405 +7281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.68342265,-1.781491182,0,0.405 +7280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.12856295,-3.212829157,0,0.405 +7283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.01726779,0.678694599,0,0.405 +7284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.14311265,-1.743879445,0,0.405 +7285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.42247014,-1.19510773,0,0.405 +7286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.04966632,-0.723934665,0,0.405 +7287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.37421452,2.934619578,0,0.405 +7288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.21330112,-2.80554646,0,0.405 +7289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.8162134,-3.133630522,0,0.405 +7291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.00848255,-0.112116748,0,0.405 +7290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.39610828,-1.791129632,0,0.405 +7293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.986910262,0.746184709,0,0.405 +7292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.62528582,-1.270514542,0,0.405 +7294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.82912314,-0.90465583,0,0.405 +7295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.10482499,-2.095868182,0,0.405 +7298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.65567587,0.017492593,0,0.405 +7296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.59532992,0.070774271,0,0.405 +7297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.67335461,0.979752657,0,0.405 +7299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.5144938,-0.65907227,0,0.405 +7301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.29496159,2.322664413,0,0.405 +7302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.47075148,0.760165126,0,0.405 +7303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.38652788,-0.731017727,0,0.405 +7300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.21710034,-0.090040499,0,0.405 +7306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.40469748,-3.090820968,0,0.405 +7305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.49119313,-1.774483035,0,0.405 +7304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.45514407,0.604014758,0,0.405 +7308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.12741982,-1.860166108,0,0.405 +7309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.81653369,-4.019646076,0,0.405 +7310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.79283824,-2.159585992,0,0.405 +7311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.56522855,-0.130945852,0,0.405 +7307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.29545119,0.663050367,0,0.405 +7312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.49085091,-3.515621208,0,0.405 +7313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.58149158,-3.024035575,0,0.405 +7314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.7990956,1.579420654,0,0.405 +7315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.34332374,0.189678391,0,0.405 +7316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.80174379,-0.905683069,0,0.405 +7317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.20313131,0.802933059,0,0.405 +7318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.27187696,-1.036294315,0,0.405 +7319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.72059432,-0.164249912,0,0.405 +7320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.80469117,0.109340562,0,0.405 +7321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.12005842,5.39E-04,0,0.405 +7322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.7847001,1.098158274,0,0.405 +7324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.15242582,-2.580231047,0,0.405 +7323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.25936866,1.780649413,0,0.405 +7325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.50722263,0.599063769,0,0.405 +7326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.183575,-0.101139005,0,0.405 +7328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.80324732,-1.061996468,0,0.405 +7329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.27383718,0.973972866,0,0.405 +7327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.76495921,-2.067702343,0,0.405 +7330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.78408155,1.854719161,0,0.405 +7331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.52042489,2.125100124,0,0.405 +7332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.62322893,1.299376531,0,0.405 +7333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.60269036,1.295217661,0,0.405 +7334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.45040728,-0.384950833,0,0.405 +7335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.02171328,1.715254512,0,0.405 +7336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.51190414,-1.783439191,0,0.405 +7338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.68805582,-0.770047975,0,0.405 +7337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.35765743,1.173204649,0,0.405 +7339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.58822809,-0.326770884,0,0.405 +7340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.42347464,0.924938147,0,0.405 +7341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.54144801,-2.903564048,0,0.405 +7342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.70630492,-1.150518577,0,0.405 +7343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.17618402,-0.448194077,0,0.405 +7344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.20074127,0.192947281,0,0.405 +7345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.12252006,3.054778039,0,0.405 +7348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.87107215,-3.162166348,0,0.405 +7347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.02732389,0.344980006,0,0.405 +7349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.15682648,-2.497522377,0,0.405 +7350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.46873277,-3.804893171,0,0.405 +7346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.79631893,0.783665528,0,0.405 +7351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.14202165,-0.681460879,0,0.405 +7352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.33133667,-3.557081406,0,0.405 +7353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.42560106,0.637831492,0,0.405 +7354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.17815032,-1.338780923,0,0.405 +7356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.29121643,1.043811329,0,0.405 +7355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.62613886,-0.399872963,0,0.405 +7357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.24546244,-0.475310882,0,0.405 +7359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.5068667,1.492685339,0,0.405 +7360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.33725504,-1.922035912,0,0.405 +7358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.36534849,1.379891428,0,0.405 +7361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.27971957,0.548066089,0,0.405 +7362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.755055,0.06483165,0,0.405 +7364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.60693788,-0.245574143,0,0.405 +7363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.22908331,3.559477865,0,0.405 +7365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.18841715,-4.443770891,0,0.405 +7366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.19573908,-1.292372668,0,0.405 +7367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.28348379,-0.459188203,0,0.405 +7368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.71727153,0.128210085,0,0.405 +7370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.60794752,-0.197011766,0,0.405 +7371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.14989923,-2.748949619,0,0.405 +7369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.32381054,-2.821909728,0,0.405 +7373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.66035498,3.152144518,0,0.405 +7372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.24626562,0.400844591,0,0.405 +7375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.6604473,-1.132614492,0,0.405 +7374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.16559827,0.806960598,0,0.405 +7376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.12999291,3.444162938,0,0.405 +7377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.41846106,2.260863049,0,0.405 +7378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.981357119,-1.61804805,0,0.405 +7380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.08183501,-2.566673854,0,0.405 +7381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.3713645,3.379413428,0,0.405 +7379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.00566157,1.718942329,0,0.405 +7382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.972996091,0.77491623,0,0.405 +7383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.73592241,0.62860791,0,0.405 +7384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.28775059,2.247035438,0,0.405 +7385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.30616544,1.258399477,0,0.405 +7386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.62166581,-0.210353282,0,0.405 +7388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.52370193,0.086036881,0,0.405 +7387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.50178148,1.49475958,0,0.405 +7390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.0359639,2.652541135,0,0.405 +7389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.00259051,0.53574544,0,0.405 +7391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.67520317,-2.164408176,0,0.405 +7392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.11826414,-0.298788588,0,0.405 +7393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.25607246,2.055588802,0,0.405 +7394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.73788078,-2.406209625,0,0.405 +7395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.69202612,0.472212475,0,0.405 +7396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.48916267,1.745990404,0,0.405 +7397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.20810273,-0.624251876,0,0.405 +7398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.58283071,-0.728485092,0,0.405 +7399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.21695965,-1.340772683,0,0.405 +7400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.48576789,-2.996497212,0,0.405 +7401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.26600443,1.59206304,0,0.405 +7402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.72826734,2.11710677,0,0.405 +7404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.79784303,-3.814572237,0,0.405 +7403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.18823454,1.453695172,0,0.405 +7405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.83025224,0.996095404,0,0.405 +7407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.30146137,-1.37433885,0,0.405 +7406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.25800116,3.189447358,0,0.405 +7408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.60950296,-3.013358327,0,0.405 +7409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.68470768,-3.484089719,0,0.405 +7410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.55379342,3.215359503,0,0.405 +7411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.26257521,-0.650029595,0,0.405 +7412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.44402471,-1.65718996,0,0.405 +7413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.54089483,-1.818023857,0,0.405 +7414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.10028313,-1.44977391,0,0.405 +7416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.45774625,-0.618888264,0,0.405 +7415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.03773423,0.350575987,0,0.405 +7417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.19526958,2.571285732,0,0.405 +7418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.1972646,0.018431227,0,0.405 +7419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.32094461,-1.393822894,0,0.405 +7421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.35935674,-1.707829306,0,0.405 +7420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.981132438,0.137529878,0,0.405 +7422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.70527108,-0.233613913,0,0.405 +7423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.60066713,0.408746521,0,0.405 +7424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.52206244,-2.017480504,0,0.405 +7426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.32491166,-3.812093265,0,0.405 +7425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.72798097,-1.009786089,0,0.405 +7427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.049193,-2.740363123,0,0.405 +7428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.68589817,-2.934852956,0,0.405 +7429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.52398718,-1.041865238,0,0.405 +7430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.18479558,-3.806774756,0,0.405 +7431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.66249304,-0.787501592,0,0.405 +7433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.69169384,4.01269833,0,0.405 +7432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.946107444,-0.254544096,0,0.405 +7434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.16250978,-1.467892185,0,0.405 +7435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.18651817,-2.648922164,0,0.405 +7436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.64534935,-1.066547518,0,0.405 +7437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.36825485,-2.816068076,0,0.405 +7438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.60738954,0.846278327,0,0.405 +7439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.4257141,4.054894734,0,0.405 +7440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.10463746,2.421930081,0,0.405 +7442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.81610179,-2.248527592,0,0.405 +7441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.2324189,-2.358395748,0,0.405 +7443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.02573831,0.94677884,0,0.405 +7444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.07082323,-0.245227725,0,0.405 +7445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.59854131,-1.728048233,0,0.405 +7446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.47675823,-1.407622796,0,0.405 +7447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.03749107,-2.440275126,0,0.405 +7448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.1992942,-1.247672691,0,0.405 +7449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.88308369,1.937919283,0,0.405 +7450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.70707128,-3.60765882,0,0.405 +7451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.8793183,-1.345088191,0,0.405 +7453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.13126269,-1.459298556,0,0.405 +7452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.30163493,-2.405076199,0,0.405 +7454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.5185363,-3.713115829,0,0.405 +7455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.18303789,-0.163290934,0,0.405 +7456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.77737577,-1.312475183,0,0.405 +7457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.03500179,-4.113789146,0,0.405 +7458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.62258362,-3.43063669,0,0.405 +7459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.60999131,-1.270807636,0,0.405 +7460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.20831117,-0.016823197,0,0.405 +7461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.35625169,1.346796737,0,0.405 +7463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.64124318,0.511843509,0,0.405 +7462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.17241433,0.750583672,0,0.405 +7465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.50172518,1.949256744,0,0.405 +7464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.00944874,0.252152236,0,0.405 +7468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.49103515,0.640501765,0,0.405 +7467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.34175238,-0.506577829,0,0.405 +7466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.1410051,-1.16652012,0,0.405 +7469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.14932706,4.261991912,0,0.405 +7470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.2442009,-4.167150839,0,0.405 +7471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.58016304,2.433999111,0,0.405 +7473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.06633325,1.215188917,0,0.405 +7472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.21647158,-1.129972837,0,0.405 +7474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.63737294,1.343156664,0,0.405 +7475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.4670237,-2.943904187,0,0.405 +7477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.15394668,-3.965259407,0,0.405 +7476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.08750769,0.920084998,0,0.405 +7478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.35810333,2.433388072,0,0.405 +7479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.52851624,0.064800687,0,0.405 +7480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.46850124,-1.682608547,0,0.405 +7481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.993541474,2.56737607,0,0.405 +7483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.74811929,-0.630158821,0,0.405 +7482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.13651491,-0.467681581,0,0.405 +7484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.22961294,0.522314313,0,0.405 +7486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.76742505,-0.555009613,0,0.405 +7487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.67364033,-1.222841799,0,0.405 +7488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.12418805,1.285932482,0,0.405 +7485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.70126009,-0.134658633,0,0.405 +7489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.55832715,-1.710339943,0,0.405 +7490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.47665465,1.253756298,0,0.405 +7491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.75916225,-5.248162371,0,0.405 +7492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.52240346,1.968279298,0,0.405 +7493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.37233036,-2.605639,0,0.405 +7494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.04977125,-2.329039851,0,0.405 +7495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.45175192,2.195936691,0,0.405 +7497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.50169518,-3.418888955,0,0.405 +7496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.01481429,-1.256933815,0,0.405 +7499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.38836377,-1.039758738,0,0.405 +7498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.650016,1.37748276,0,0.405 +7500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.46410954,-2.21198627,0,0.405 +7501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.6929121,-1.390025726,0,0.405 +7502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.73470536,0.279672483,0,0.405 +7504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.16317361,-2.877412664,0,0.405 +7503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.26183357,1.160083418,0,0.405 +7505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.39015243,-0.58391664,0,0.405 +7506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.51532858,0.196613921,0,0.405 +7507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.05705949,-1.832325292,0,0.405 +7508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.31124833,0.184764446,0,0.405 +7509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.63068056,-2.946192605,0,0.405 +7511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.30453738,-0.789765055,0,0.405 +7510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.8053138,-1.524329604,0,0.405 +7512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.486199,-2.39699279,0,0.405 +7515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.972670938,-4.390199826,0,0.405 +7514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.57262357,-2.045434068,0,0.405 +7513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.80744825,1.176528487,0,0.405 +7516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.77701599,1.91508624,0,0.405 +7517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.952274831,-3.232914136,0,0.405 +7518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.26679852,0.730931164,0,0.405 +7519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.38042547,-0.406682138,0,0.405 +7520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.70507523,0.829379344,0,0.405 +7521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.52977486,-1.261683236,0,0.405 +7522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.55276514,0.950846895,0,0.405 +7524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.38001745,-0.372214773,0,0.405 +7525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.69594899,-2.28382402,0,0.405 +7527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.97362424,-1.053581267,0,0.405 +7523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.67265122,0.206079704,0,0.405 +7528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.27084629,-2.37353674,0,0.405 +7526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.45070153,-0.524544099,0,0.405 +7530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.918285318,-1.384787494,0,0.405 +7529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.13992439,-1.730364784,0,0.405 +7531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.67276223,-0.42743107,0,0.405 +7532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.27892846,-0.197313222,0,0.405 +7535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.64024384,-2.354144475,0,0.405 +7536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.52598188,0.612348535,0,0.405 +7533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.61189454,0.622407249,0,0.405 +7534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.23101218,-0.930287323,0,0.405 +7537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.1755469,-2.216286199,0,0.405 +7538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.43987711,-2.743987168,0,0.405 +7539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.05092396,1.82739875,0,0.405 +7540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.60032184,-1.030039344,0,0.405 +7541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.956232512,-1.791874917,0,0.405 +7543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.45919047,1.299348834,0,0.405 +7542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.71423188,1.05154833,0,0.405 +7545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.5034231,-2.725843209,0,0.405 +7544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.69143343,-2.578586223,0,0.405 +7546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.972931621,1.817829499,0,0.405 +7547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.06050041,0.566461412,0,0.405 +7548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.942287915,-0.817074101,0,0.405 +7549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.46356565,-3.498154607,0,0.405 +7551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.07390234,-0.894205307,0,0.405 +7550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.50403423,1.982996263,0,0.405 +7552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.67053611,1.726658797,0,0.405 +7554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.20154755,-0.273128342,0,0.405 +7553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.69228518,0.723859587,0,0.405 +7555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.73691808,-1.868318759,0,0.405 +7556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.973456684,1.85074772,0,0.405 +7557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.75649745,0.044148225,0,0.405 +7558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.47855851,-2.28703567,0,0.405 +7559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.11696238,2.490821948,0,0.405 +7560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.06069125,0.371295925,0,0.405 +7561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.44492422,-1.240854339,0,0.405 +7564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.39923025,-2.832096073,0,0.405 +7562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.42000803,-4.240447652,0,0.405 +7563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.06956474,3.339734933,0,0.405 +7565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.39141758,-0.207446741,0,0.405 +7566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.79953234,-0.739397543,0,0.405 +7567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.48646441,2.304609263,0,0.405 +7568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.50706799,-3.825374103,0,0.405 +7569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.39366759,1.75071764,0,0.405 +7570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.3692645,-1.080401076,0,0.405 +7572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.70120693,-2.635062983,0,0.405 +7571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.54608753,-0.270211811,0,0.405 +7574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.567518,-1.157638587,0,0.405 +7573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.0620579,-1.029907806,0,0.405 +7575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.05979902,-1.0490778,0,0.405 +7576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.54583583,-0.104972416,0,0.405 +7577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.78033661,-2.282757206,0,0.405 +7578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.10668855,1.747825019,0,0.405 +7579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.0468794,0.574642322,0,0.405 +7581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.71314487,0.537763547,0,0.405 +7582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.57399442,-2.037833297,0,0.405 +7580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.71915847,5.171160073,0,0.405 +7583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.5002119,-0.363029264,0,0.405 +7584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.30671741,-0.16596677,0,0.405 +7586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.52796615,-3.067175575,0,0.405 +7585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.80750308,-1.967469923,0,0.405 +7587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.7077321,-2.311967006,0,0.405 +7588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.38554355,2.295172088,0,0.405 +7589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.68900433,-0.404887724,0,0.405 +7591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.17251022,-2.171543099,0,0.405 +7592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.7424639,2.927755006,0,0.405 +7590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.26053199,-2.803065273,0,0.405 +7594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.97630259,-2.076236458,0,0.405 +7595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.81402052,-0.465587266,0,0.405 +7593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.68310639,-4.559572371,0,0.405 +7596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.24471246,-0.429934871,0,0.405 +7597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.36103549,-1.463294702,0,0.405 +7598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.46573047,2.264074089,0,0.405 +7599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.52075458,1.416426554,0,0.405 +7602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.49487334,0.097134209,0,0.405 +7601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.76409946,-3.138301565,0,0.405 +7600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.04465466,-3.767522825,0,0.405 +7603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.31060294,-3.837032393,0,0.405 +7605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.33628832,0.512212289,0,0.405 +7604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.38552559,-3.702509152,0,0.405 +7607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.45310341,3.224065407,0,0.405 +7606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.42798527,-2.145335493,0,0.405 +7608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.25524699,-0.288637549,0,0.405 +7609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.55032601,0.148178818,0,0.405 +7611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.19534316,-2.237300066,0,0.405 +7610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.81211426,1.878827945,0,0.405 +7612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.59097215,-0.31946483,0,0.405 +7613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.25534747,0.302270829,0,0.405 +7614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.15722521,-0.371944395,0,0.405 +7615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.64128111,-0.998060351,0,0.405 +7616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.40800999,-2.30507168,0,0.405 +7617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.99125388,-0.48405942,0,0.405 +7618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.23959484,-5.541451159,0,0.405 +7619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.6976684,1.303724444,0,0.405 +7620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.30320987,1.185519258,0,0.405 +7621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.14368401,1.56389869,0,0.405 +7622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.877855514,-2.606921677,0,0.405 +7623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.16846206,0.038999112,0,0.405 +7624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.03497608,3.86890682,0,0.405 +7625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.13562572,0.779555087,0,0.405 +7626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.822156,-0.772800263,0,0.405 +7627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.05374551,-1.797331748,0,0.405 +7629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.988242487,2.356425043,0,0.405 +7628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.36774637,-0.127108114,0,0.405 +7630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.04529986,3.602797592,0,0.405 +7631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.36428154,-2.680261286,0,0.405 +7633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.5200574,-1.055384689,0,0.405 +7634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.973774339,-0.632121985,0,0.405 +7632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.07201453,-1.778160112,0,0.405 +7635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.987397474,-3.494493721,0,0.405 +7637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.62548426,0.176108281,0,0.405 +7636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.79079386,0.859601438,0,0.405 +7638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.02980685,-0.576244753,0,0.405 +7639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.09729182,-0.774114679,0,0.405 +7640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.46697658,-2.656941353,0,0.405 +7641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.36419888,0.619014938,0,0.405 +7642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.6349263,1.084450257,0,0.405 +7643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.40658127,0.28952195,0,0.405 +7646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.08127173,1.629264236,0,0.405 +7645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.43598435,0.051925397,0,0.405 +7644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.2612157,0.269830492,0,0.405 +7647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.42159772,0.130495492,0,0.405 +7649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.41027744,-2.565570419,0,0.405 +7650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.04107952,0.437883665,0,0.405 +7648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.26754557,-3.071152117,0,0.405 +7651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.76480173,-1.302986633,0,0.405 +7654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.21155436,0.300118567,0,0.405 +7652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.08848224,0.005833039,0,0.405 +7655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.12706197,1.23084865,0,0.405 +7658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.5210816,-2.596548536,0,0.405 +7653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.29156295,-2.251771873,0,0.405 +7656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.74574562,-1.625623831,0,0.405 +7657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.10700393,2.208383246,0,0.405 +7661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.3891169,-1.929651797,0,0.405 +7660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.0246482,-1.925002758,0,0.405 +7662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.10493098,-2.998710082,0,0.405 +7659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.67481108,-3.963272351,0,0.405 +7663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.34703845,-0.546531368,0,0.405 +7665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.11756639,-3.011833588,0,0.405 +7664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.73187423,-0.993598129,0,0.405 +7666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.79521333,2.802336088,0,0.405 +7668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.06778291,-1.617738658,0,0.405 +7667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.14214704,-1.881199965,0,0.405 +7670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.38635844,-3.631291393,0,0.405 +7671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.993993418,-1.474618999,0,0.405 +7672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.829138,1.103307222,0,0.405 +7669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.67488165,2.174110905,0,0.405 +7673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.38330343,-1.355469679,0,0.405 +7674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.64066738,-1.104929145,0,0.405 +7675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.67642703,0.112087469,0,0.405 +7676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.73375562,-1.809310864,0,0.405 +7678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.6302892,-0.408739374,0,0.405 +7677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.01406438,0.280246265,0,0.405 +7679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.35229744,-1.171035389,0,0.405 +7681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.35673088,3.013932092,0,0.405 +7680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.64859145,0.357449117,0,0.405 +7682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.926142913,-2.379628057,0,0.405 +7684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.71647665,-3.708182292,0,0.405 +7683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.17972639,0.769661777,0,0.405 +7685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.5406718,-2.147163345,0,0.405 +7687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.61479842,0.369781697,0,0.405 +7689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.182948,-1.934641401,0,0.405 +7688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.53987462,-1.14385201,0,0.405 +7686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.70594595,2.010236957,0,0.405 +7690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.77802241,0.340958864,0,0.405 +7691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.946577409,5.687247128,0,0.405 +7692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.27021852,0.399550676,0,0.405 +7693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.09927302,-1.218591618,0,0.405 +7694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.65585034,1.380088766,0,0.405 +7696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.59696566,1.215978038,0,0.405 +7695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.32412901,0.380352393,0,0.405 +7698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.72940228,4.702750298,0,0.405 +7697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.24149278,1.498533588,0,0.405 +7699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.66307819,-2.180622259,0,0.405 +7701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.30066669,-1.731975471,0,0.405 +7700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.5847248,-0.685548137,0,0.405 +7702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.65391176,-1.012677238,0,0.405 +7703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.6634365,-1.965268656,0,0.405 +7704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.3018652,0.329158318,0,0.405 +7706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.2763954,-0.623910239,0,0.405 +7707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.33387267,-1.007630321,0,0.405 +7705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.43923257,-1.133656791,0,0.405 +7708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.35648121,1.368288678,0,0.405 +7709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.51302519,1.258925542,0,0.405 +7710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.51559422,2.790151093,0,0.405 +7711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.56702525,-3.381442903,0,0.405 +7712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.71123332,-2.255111429,0,0.405 +7714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.75553755,-1.58810915,0,0.405 +7715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.69790044,-3.504371715,0,0.405 +7713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.11007882,1.844335901,0,0.405 +7717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.19184531,-0.489380766,0,0.405 +7716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.00704886,-1.726109298,0,0.405 +7718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.14192209,-1.83060682,0,0.405 +7719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.04250305,2.549375464,0,0.405 +7720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.64160543,-1.583814834,0,0.405 +7721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.63893448,-1.308386272,0,0.405 +7724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.23378181,-1.977760077,0,0.405 +7723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.77109734,-0.318744064,0,0.405 +7725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.23701167,1.68609028,0,0.405 +7722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.49942457,1.652782497,0,0.405 +7726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.29904238,-5.972442825,0,0.405 +7727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.64898639,-0.481170909,0,0.405 +7729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.37796197,-0.889928861,0,0.405 +7728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.0902128,-0.131506328,0,0.405 +7730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.56694926,0.285515829,0,0.405 +7733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.993869567,-3.883638379,0,0.405 +7734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.55241673,2.281431438,0,0.405 +7731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.21337687,-1.345286688,0,0.405 +7732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.12942721,0.942400547,0,0.405 +7735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.45571127,-1.52956934,0,0.405 +7737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.59467915,-1.229856379,0,0.405 +7736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.594401,0.832800933,0,0.405 +7738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.37064682,-0.923920107,0,0.405 +7739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.62007704,-1.251533058,0,0.405 +7740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.65572741,1.395881917,0,0.405 +7742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.60161534,-6.01474056,0,0.405 +7741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.15203246,-3.299400724,0,0.405 +7743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.54332921,1.597384618,0,0.405 +7744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.1112312,5.053884285,0,0.405 +7745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.15889336,-0.229706691,0,0.405 +7746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.967894213,-0.061846973,0,0.405 +7747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.38579866,-0.554306314,0,0.405 +7748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.76707743,3.084786752,0,0.405 +7749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.68773599,-0.058526188,0,0.405 +7750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.07844027,-3.460266014,0,0.405 +7751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.22458243,3.324273491,0,0.405 +7753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.52453205,-0.459737433,0,0.405 +7752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.64778129,-1.826934195,0,0.405 +7754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.19375846,-1.525928456,0,0.405 +7755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.54985841,0.814863953,0,0.405 +7756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.10334085,1.49591472,0,0.405 +7757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.47685531,-1.978684013,0,0.405 +7759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.56765374,0.267836385,0,0.405 +7760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.12969952,0.043284821,0,0.405 +7761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.18224436,0.640606903,0,0.405 +7758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.50796392,-2.356579466,0,0.405 +7762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.28737472,2.053461948,0,0.405 +7763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.77138318,-2.207478126,0,0.405 +7764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.03808713,-0.291040928,0,0.405 +7765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.42029743,2.296273492,0,0.405 +7766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.46308439,-1.681703122,0,0.405 +7770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.58934752,0.19655252,0,0.405 +7771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.23813083,-1.510373561,0,0.405 +7768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.52559337,3.087966771,0,0.405 +7767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.57149097,1.0542127,0,0.405 +7772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.66677486,1.792458769,0,0.405 +7769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.70331074,1.318724539,0,0.405 +7773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.1305099,2.951925198,0,0.405 +7774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.43187826,-2.208150104,0,0.405 +7775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.29197674,3.668276857,0,0.405 +7777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.4648237,1.37379262,0,0.405 +7776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.42297051,-2.150481116,0,0.405 +7778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.54923899,0.580927623,0,0.405 +7779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.49336864,-1.37779657,0,0.405 +7781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.46442812,-4.063123523,0,0.405 +7780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.8163132,4.394646208,0,0.405 +7784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.45845658,-1.250750401,0,0.405 +7782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.34352407,-1.68088631,0,0.405 +7786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.99947116,-1.731741719,0,0.405 +7787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.48055727,-0.362154682,0,0.405 +7785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.54098384,-1.329400934,0,0.405 +7783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.73962783,-1.261396308,0,0.405 +7788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.69523509,0.789980468,0,0.405 +7790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.59718152,-1.740159895,0,0.405 +7791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.61276923,-2.881221166,0,0.405 +7792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.970902024,-2.555534236,0,0.405 +7794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.35684619,-4.171971856,0,0.405 +7789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.75632676,-1.57977848,0,0.405 +7793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.50855583,-2.510739609,0,0.405 +7795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.44609085,2.985151499,0,0.405 +7797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.35900609,0.379265311,0,0.405 +7796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.71647868,-0.962319963,0,0.405 +7798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.971313701,0.640741287,0,0.405 +7799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.77031804,-3.557713583,0,0.405 +7800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.10408689,-4.550148402,0,0.405 +7801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.61843098,-0.462922435,0,0.405 +7803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.05711933,-1.638851728,0,0.405 +7802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.56975112,-3.675239529,0,0.405 +7806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.25253098,0.139434974,0,0.405 +7807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.60834431,-0.36007575,0,0.405 +7804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.5416451,2.677078829,0,0.405 +7805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.84630403,-0.398048119,0,0.405 +7809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.71697757,2.184622855,0,0.405 +7808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.43262715,-1.953302699,0,0.405 +7810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.64533352,-0.381427343,0,0.405 +7811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.39494897,-3.818181001,0,0.405 +7813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.20807751,0.158939922,0,0.405 +7814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.61866991,-3.940051821,0,0.405 +7815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.29951409,2.183865439,0,0.405 +7812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.6162866,-1.731038125,0,0.405 +7816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.59308463,0.085606446,0,0.405 +7818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.45382217,0.226346644,0,0.405 +7817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.41823755,2.831787982,0,0.405 +7819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.45554597,-2.313172557,0,0.405 +7820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.35530871,-0.901521274,0,0.405 +7823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.00174852,-0.163427858,0,0.405 +7821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.37584641,-0.372858552,0,0.405 +7824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.65983465,3.844751829,0,0.405 +7825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.31068463,-1.570376186,0,0.405 +7826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.10315579,-0.159980145,0,0.405 +7822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.22397847,2.444971221,0,0.405 +7828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.57448111,1.043768146,0,0.405 +7830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.0523002,1.035841347,0,0.405 +7832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.70284736,-0.526003007,0,0.405 +7831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.34041501,-1.20024932,0,0.405 +7833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.04202386,0.803086833,0,0.405 +7827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.31539169,1.91820786,0,0.405 +7829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.94244518,-2.404713213,0,0.405 +7834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.04115972,-2.742127063,0,0.405 +7837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.71273164,0.602455533,0,0.405 +7835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.43104257,-3.443379327,0,0.405 +7838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.25342753,-1.871451096,0,0.405 +7839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.53345824,2.000569463,0,0.405 +7841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.14909287,-1.064655927,0,0.405 +7840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.41355032,-2.878897527,0,0.405 +7836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.28531927,1.334945312,0,0.405 +7842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.993849635,-2.94634988,0,0.405 +7844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.47467747,0.650130696,0,0.405 +7843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.39659354,0.884679592,0,0.405 +7845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.22137522,2.447054716,0,0.405 +7846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.11752342,2.574212469,0,0.405 +7849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.02403877,2.512799281,0,0.405 +7847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.50612113,1.823715746,0,0.405 +7848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.41587651,0.562628707,0,0.405 +7850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.72858442,-0.644380619,0,0.405 +7851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.09880849,-1.013196409,0,0.405 +7853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.58695235,4.238601493,0,0.405 +7854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.27796428,-0.302000332,0,0.405 +7852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.14050462,0.192803018,0,0.405 +7855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.40138572,-1.647567132,0,0.405 +7856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.0230563,-0.109102563,0,0.405 +7857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.25871494,-1.046355431,0,0.405 +7858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.78044979,-0.020460354,0,0.405 +7859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.19679732,0.190196523,0,0.405 +7860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.949487901,2.655841695,0,0.405 +7861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.61250364,-1.508065459,0,0.405 +7862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.69137273,-2.258725274,0,0.405 +7863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.38262404,6.55E-04,0,0.405 +7864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.33958212,-1.230472027,0,0.405 +7866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.30527729,0.306884956,0,0.405 +7867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.01773472,-0.10141205,0,0.405 +7865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.34860362,-3.337015224,0,0.405 +7868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.36703899,-1.794989453,0,0.405 +7869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.976391048,-0.656244215,0,0.405 +7870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.7880426,-2.066079611,0,0.405 +7871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.06599117,-0.654638128,0,0.405 +7872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.30112453,2.33105982,0,0.405 +7874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.31889426,5.371539979,0,0.405 +7873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.31539007,0.099626968,0,0.405 +7876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.32977346,-1.034877176,0,0.405 +7875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.07278063,0.787068279,0,0.405 +7877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.60394379,4.214628344,0,0.405 +7879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.06935594,2.013445331,0,0.405 +7878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.19913067,-1.264345509,0,0.405 +7881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.84420527,5.203715558,0,0.405 +7880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.60608556,-0.872242455,0,0.405 +7883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.33509635,2.707402461,0,0.405 +7885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.37123657,-3.064985246,0,0.405 +7884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.49127401,-2.090081842,0,0.405 +7882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.56132479,0.855565836,0,0.405 +7887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.0345834,4.357682181,0,0.405 +7886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.01674902,0.284876356,0,0.405 +7888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.77463385,-1.797513768,0,0.405 +7890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.429374,-0.947903753,0,0.405 +7889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.984570128,-2.012409147,0,0.405 +7891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.42735147,-1.100718078,0,0.405 +7892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.19076223,-2.423555117,0,0.405 +7893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.02067144,-1.994115017,0,0.405 +7894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.42377826,2.216516636,0,0.405 +7895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.78019894,-4.305215537,0,0.405 +7896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.3636618,-2.80652576,0,0.405 +7897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.57795667,1.82857296,0,0.405 +7899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.2810827,3.366598184,0,0.405 +7900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.9884525,0.461545395,0,0.405 +7901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.58839857,-4.083347531,0,0.405 +7902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.05394349,-0.286629264,0,0.405 +7898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.65342742,0.857135664,0,0.405 +7903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.78820031,-1.44554787,0,0.405 +7904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.00839266,2.258092725,0,0.405 +7905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.7015701,-2.839049414,0,0.405 +7907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.14432671,-0.584758441,0,0.405 +7908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.57633105,-0.109378828,0,0.405 +7909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.80052393,-2.427338934,0,0.405 +7906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.72138878,4.680735835,0,0.405 +7910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.2255899,-4.666110306,0,0.405 +7911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.01854737,-3.7320799,0,0.405 +7912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.39599075,-0.193008966,0,0.405 +7913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.2977126,-3.793043511,0,0.405 +7914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.2264549,-1.944525817,0,0.405 +7915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.13210422,-0.428701063,0,0.405 +7917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.5670301,1.913421726,0,0.405 +7916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.64261186,-0.126118349,0,0.405 +7918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.28871252,-1.586974575,0,0.405 +7919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.1716234,2.356882679,0,0.405 +7920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.20256208,-1.398775682,0,0.405 +7923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.3701721,-2.080336909,0,0.405 +7922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.19916952,-0.097324683,0,0.405 +7921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.49360408,-2.636121337,0,0.405 +7925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.77566743,1.772063667,0,0.405 +7924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.10649593,-3.690053903,0,0.405 +7926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.71187958,-2.6875433,0,0.405 +7927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.17600757,2.765040438,0,0.405 +7928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.26278637,-2.788668286,0,0.405 +7929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.47511554,-2.641873899,0,0.405 +7930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.49752601,0.154220593,0,0.405 +7931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.19064298,-3.474779459,0,0.405 +7932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.32623488,-2.880565496,0,0.405 +7933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.77018247,-3.783283014,0,0.405 +7936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.74032146,-0.032970051,0,0.405 +7935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.940355232,-0.029904943,0,0.405 +7937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.28670407,-4.159560692,0,0.405 +7934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.82588917,-1.604871066,0,0.405 +7938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.64625639,-3.085829794,0,0.405 +7940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.02278084,1.844090854,0,0.405 +7941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.57776795,0.770026877,0,0.405 +7939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.44082119,3.08641528,0,0.405 +7943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.11254895,-3.090060721,0,0.405 +7944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.97427584,0.917171216,0,0.405 +7942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.983384984,-1.337607526,0,0.405 +7946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.11340175,-0.882286492,0,0.405 +7945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.4457279,-0.131510157,0,0.405 +7947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.79616944,1.311964912,0,0.405 +7948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.43897652,1.311547433,0,0.405 +7949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.09472964,-0.753348062,0,0.405 +7952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.54834197,-4.496744222,0,0.405 +7950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.74426489,-2.256282982,0,0.405 +7951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.72913979,1.683312852,0,0.405 +7955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.24774188,-0.948876069,0,0.405 +7953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.987141432,0.637504371,0,0.405 +7956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.14571295,-2.328149966,0,0.405 +7957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.46821312,-2.553541779,0,0.405 +7954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.80526115,-3.045077478,0,0.405 +7959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.25562056,-1.989219088,0,0.405 +7958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.34928021,-1.8340922,0,0.405 +7960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.57909602,1.363803017,0,0.405 +7962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.68096589,-0.436121135,0,0.405 +7961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.35792812,0.383743424,0,0.405 +7963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.21421939,2.081026881,0,0.405 +7964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.35098194,-4.400307377,0,0.405 +7965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.935110778,-0.784728941,0,0.405 +7966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.49297208,-4.075106147,0,0.405 +7967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.76426375,-1.356802398,0,0.405 +7968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.8891624,-2.202742356,0,0.405 +7969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.72152582,1.370155216,0,0.405 +7970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.16359471,-0.706302515,0,0.405 +7971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.28814283,0.378941227,0,0.405 +7972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.37825771,-0.383631253,0,0.405 +7974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.11025158,-1.924220362,0,0.405 +7975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.59802371,-0.659129493,0,0.405 +7973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.33834341,4.396803562,0,0.405 +7977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.908308887,-0.614241211,0,0.405 +7976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.69814715,1.292359407,0,0.405 +7978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.64284619,-0.98838768,0,0.405 +7979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.68729786,-3.12965941,0,0.405 +7981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.72057818,1.915144652,0,0.405 +7980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.33022198,4.540322823,0,0.405 +7982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.567472,-2.153777199,0,0.405 +7984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.28667065,-2.017932181,0,0.405 +7983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-9.919230316,-2.092414745,0,0.405 +7986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.15572263,-1.597032945,0,0.405 +7985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.40011691,-2.520655702,0,0.405 +7987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.65543476,-1.949892228,0,0.405 +7989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.05110199,-2.561747458,0,0.405 +7988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.6265483,0.255979644,0,0.405 +7990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.36935427,-0.603762975,0,0.405 +7991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.64714893,-3.196355313,0,0.405 +7993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.060261,-2.126720901,0,0.405 +7994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.33661069,1.773325819,0,0.405 +7992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.41194006,-2.230467827,0,0.405 +7997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.61215772,-2.54076741,0,0.405 +7998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.31130626,-1.089301435,0,0.405 +7995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.67732635,-0.887815994,0,0.405 +7996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.670046,0.712925093,0,0.405 +7999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.37415859,-4.67665598,0,0.405 +8000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.35,10,1,-10.58182752,1.714878981,0,0.405 +8001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.58073706,-5.273376311,0,0.098 +8002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.5840267,-1.803156888,0,0.098 +8004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.44890089,-6.662124248,0,0.098 +8003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.26968898,-3.091003206,0,0.098 +8006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.12641384,-4.508390626,0,0.098 +8005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.67131997,-1.707033829,0,0.098 +8007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.55004818,-5.028806527,0,0.098 +8008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.80480313,-3.212299056,0,0.098 +8009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.7626301,-2.063325643,0,0.098 +8011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.42406241,-3.636411064,0,0.098 +8012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.904492332,-0.169236489,0,0.098 +8015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.24642231,-3.762561609,0,0.098 +8010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.04230652,-4.995740872,0,0.098 +8013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.51934004,-2.162426035,0,0.098 +8014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.991392141,-0.671887354,0,0.098 +8016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.34495682,-4.154859284,0,0.098 +8017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.31708218,-1.154170135,0,0.098 +8019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.65895947,-4.838717149,0,0.098 +8018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.1445176,-2.171348364,0,0.098 +8023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.61312172,-5.424244836,0,0.098 +8022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.16910702,-0.481888256,0,0.098 +8020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.1880266,-4.475020632,0,0.098 +8024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.50213538,-3.93040134,0,0.098 +8021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.19290174,-3.887502532,0,0.098 +8025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.989113444,-1.998980287,0,0.098 +8026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.46763439,-4.812358477,0,0.098 +8028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.3851651,-5.101721716,0,0.098 +8027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.13302827,-4.055215998,0,0.098 +8029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.75324009,-5.392724853,0,0.098 +8030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.22790504,-4.473965905,0,0.098 +8031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.37912583,-3.511825079,0,0.098 +8033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.0878155,2.447479612,0,0.098 +8032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.49479943,-3.026695146,0,0.098 +8034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.6340281,-3.959606459,0,0.098 +8035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.4292629,-3.729298353,0,0.098 +8037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.63821251,-4.493405563,0,0.098 +8036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.14787997,-3.005176943,0,0.098 +8038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.35001519,-2.585025834,0,0.098 +8039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.952994543,-4.741929278,0,0.098 +8040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.45630197,-3.098613182,0,0.098 +8042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.48948976,2.875019656,0,0.098 +8043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.76645726,-4.788791206,0,0.098 +8044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.1036426,-0.888529403,0,0.098 +8045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.63300068,-2.560307602,0,0.098 +8041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.35378264,-4.188489778,0,0.098 +8047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.35690252,-0.912438129,0,0.098 +8046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.43902701,2.158782358,0,0.098 +8048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.37026547,-1.652849459,0,0.098 +8049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.27304787,-2.456739151,0,0.098 +8050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.973813067,-4.862573875,0,0.098 +8051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.25887225,-4.211168328,0,0.098 +8052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.02497539,0.674504672,0,0.098 +8054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.72908289,-4.034717945,0,0.098 +8055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.63751363,-1.985407005,0,0.098 +8056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.73993007,-3.31464488,0,0.098 +8053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.27849213,-0.760759719,0,0.098 +8057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.60453805,-4.79640621,0,0.098 +8058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.73358278,-3.551429567,0,0.098 +8059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.19901716,-2.876996519,0,0.098 +8060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.02547732,-2.672792983,0,0.098 +8061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.14616866,-5.274273512,0,0.098 +8062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.39025305,-3.093794132,0,0.098 +8063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.74705238,-4.775604302,0,0.098 +8065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.30366521,-2.252044885,0,0.098 +8064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.81223454,-4.777629622,0,0.098 +8066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.14534778,-0.715511292,0,0.098 +8069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.45629996,-4.160551856,0,0.098 +8068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.02240662,-2.563258839,0,0.098 +8070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.40008507,-4.757018434,0,0.098 +8072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.56772327,-3.592024923,0,0.098 +8067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.976916184,-4.96187758,0,0.098 +8071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.45861971,-2.192923541,0,0.098 +8074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.76065343,-3.47002831,0,0.098 +8075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.42276733,-3.325564141,0,0.098 +8073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.46693711,-4.742724754,0,0.098 +8076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.14605571,-0.378370686,0,0.098 +8077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.58977579,1.32129663,0,0.098 +8079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.48207499,-0.083377902,0,0.098 +8080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.3116491,-5.580276568,0,0.098 +8081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.42866082,-5.233301426,0,0.098 +8078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.81391338,-1.478182548,0,0.098 +8082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.21221149,-2.999538919,0,0.098 +8084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.980963536,-3.194991741,0,0.098 +8083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.967386558,-4.323541762,0,0.098 +8085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.08823514,-2.731289007,0,0.098 +8086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.23761483,-2.739032941,0,0.098 +8087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.32836943,-1.895714514,0,0.098 +8088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.81291481,-2.811848996,0,0.098 +8089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.47379551,-2.692662525,0,0.098 +8090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.3548143,-2.623012004,0,0.098 +8091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.37536383,-3.799646204,0,0.098 +8093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.6328995,-3.942562958,0,0.098 +8094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.75824202,-5.076709473,0,0.098 +8092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.47690295,-2.373227676,0,0.098 +8096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.76119716,-4.454771929,0,0.098 +8098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.48755731,-3.80988688,0,0.098 +8095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.948707658,-0.43548936,0,0.098 +8097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.56045926,-2.259904396,0,0.098 +8099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.76409337,-4.445287658,0,0.098 +8100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.61286033,-2.89783529,0,0.098 +8101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.39047786,-2.830278517,0,0.098 +8103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.01169415,-3.47512646,0,0.098 +8104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.11912719,-1.839330152,0,0.098 +8105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.54459809,-5.894422869,0,0.098 +8106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.39300578,-6.169795938,0,0.098 +8107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.57715952,-5.73428037,0,0.098 +8108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.18058295,-6.466080957,0,0.098 +8109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.91687785,-0.087730845,0,0.098 +8102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.25881017,-2.060870941,0,0.098 +8110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.01901783,-2.97514765,0,0.098 +8111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.46097145,-2.758767452,0,0.098 +8113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.02966738,-4.532857745,0,0.098 +8114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.79614723,-6.90775358,0,0.098 +8112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.50692494,-3.202082698,0,0.098 +8115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.20230537,-1.02356538,0,0.098 +8116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.07071867,-5.199928996,0,0.098 +8117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.7433853,-2.921107865,0,0.098 +8118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.42052826,-4.166267126,0,0.098 +8119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.51056369,-4.119577585,0,0.098 +8120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.63230222,-4.811506866,0,0.098 +8122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.25794438,-3.963375425,0,0.098 +8123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.987303346,-2.189610459,0,0.098 +8124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.3466099,-3.156739702,0,0.098 +8121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.43118768,-1.546781211,0,0.098 +8126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.66718159,-5.793618974,0,0.098 +8125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.5893811,-1.997564787,0,0.098 +8128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.6994526,-4.574889877,0,0.098 +8127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.80745416,-2.353341265,0,0.098 +8129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.17856887,-1.773728378,0,0.098 +8130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.53365629,-2.882346425,0,0.098 +8131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.24608216,0.871042467,0,0.098 +8132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.27567739,-0.400266125,0,0.098 +8133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.78826014,-6.282121164,0,0.098 +8134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.31195455,0.266348062,0,0.098 +8136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.74901599,-2.774860937,0,0.098 +8135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.80769023,-4.869581623,0,0.098 +8138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.64377624,-1.778255901,0,0.098 +8137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.83222696,-4.659170078,0,0.098 +8139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.38897827,-3.919842087,0,0.098 +8140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.41108417,-2.315649398,0,0.098 +8141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.71251322,-1.395565635,0,0.098 +8143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.65401382,-5.587909619,0,0.098 +8144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.20906525,-2.911736288,0,0.098 +8145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.66003415,-1.158721419,0,0.098 +8146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.01115123,-5.671550305,0,0.098 +8147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.47183916,-5.295007148,0,0.098 +8148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.39746955,-3.936205,0,0.098 +8149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.5255372,-2.075040734,0,0.098 +8142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.60898418,-2.549138745,0,0.098 +8150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.47845772,-1.323286963,0,0.098 +8152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.13259737,-3.232792408,0,0.098 +8151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.46255641,-4.341530013,0,0.098 +8153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.34549839,1.465640826,0,0.098 +8154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.25255809,4.123909041,0,0.098 +8156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.18341605,-3.220834703,0,0.098 +8155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.15525662,-5.570271983,0,0.098 +8158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.03799293,-4.648164241,0,0.098 +8160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.51410007,-3.646095599,0,0.098 +8159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.39177536,-2.495911361,0,0.098 +8157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.56669445,-3.654470315,0,0.098 +8161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.24128717,-2.896426982,0,0.098 +8163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.55366295,0.728989571,0,0.098 +8162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.79055274,-3.760295111,0,0.098 +8164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.56232856,0.076445521,0,0.098 +8165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.995791995,-2.345700189,0,0.098 +8167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.32640042,-0.419993137,0,0.098 +8166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.36503696,0.030803618,0,0.098 +8168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.14176019,-4.185021933,0,0.098 +8171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.32551154,-2.576459991,0,0.098 +8172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.13491902,-3.418430007,0,0.098 +8170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.72473602,-2.60303749,0,0.098 +8169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.76947159,-4.86936749,0,0.098 +8173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.45546656,-5.952141397,0,0.098 +8174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.69160463,-5.153212755,0,0.098 +8175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.13139973,-3.550932338,0,0.098 +8178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.66505173,-2.436601044,0,0.098 +8179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.31493275,-1.38868625,0,0.098 +8176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.48330745,-2.506123868,0,0.098 +8180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.63922809,0.745538784,0,0.098 +8181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.62229314,-2.240086801,0,0.098 +8177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.55289331,-0.391278287,0,0.098 +8182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.10300955,-2.445635944,0,0.098 +8183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.09582021,-4.854461668,0,0.098 +8185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.40049448,-6.414483861,0,0.098 +8184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.62049129,-4.287813378,0,0.098 +8188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.29239165,-4.308547623,0,0.098 +8186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.12750058,-2.511158199,0,0.098 +8189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.28572319,-4.201374736,0,0.098 +8191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.16859,0.476317429,0,0.098 +8187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.65421193,-4.92074148,0,0.098 +8190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.42554562,-4.089228169,0,0.098 +8193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.949752321,-1.146840623,0,0.098 +8192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.29818438,-1.255606982,0,0.098 +8194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.50941242,-5.948724413,0,0.098 +8197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.24604085,-5.122511929,0,0.098 +8198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.06634919,-5.469697597,0,0.098 +8195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.22516091,-5.356598986,0,0.098 +8199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.57945971,-2.543222511,0,0.098 +8200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.19432903,-5.763473488,0,0.098 +8196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.75299257,-6.080804732,0,0.098 +8201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.23721476,-3.778068757,0,0.098 +8203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.4544135,-0.285748988,0,0.098 +8202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.20208264,-6.982146864,0,0.098 +8204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.59844161,-0.805934162,0,0.098 +8206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.37211039,-2.565496905,0,0.098 +8205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.27700935,-3.107623457,0,0.098 +8207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.44968478,-4.531158875,0,0.098 +8208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.25284158,-2.354360447,0,0.098 +8209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.1803158,-0.371711392,0,0.098 +8211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.6855438,-3.791088621,0,0.098 +8210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.6496598,-5.729681583,0,0.098 +8212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.36145424,-4.432659553,0,0.098 +8213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.36533174,-6.193789156,0,0.098 +8214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.55289898,-2.933072346,0,0.098 +8215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.45651952,0.895205504,0,0.098 +8216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.20215301,-0.131825553,0,0.098 +8217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.51781743,-3.009906041,0,0.098 +8219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.60915681,-3.184052173,0,0.098 +8218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.01990762,-5.475340033,0,0.098 +8221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.71193887,-4.075778547,0,0.098 +8220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.05432924,-2.129030536,0,0.098 +8223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.35428631,-4.950278504,0,0.098 +8224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.76767819,-3.766942111,0,0.098 +8225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.974288591,-0.558701733,0,0.098 +8226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.17555724,-1.388745943,0,0.098 +8227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.3444634,-3.958403227,0,0.098 +8228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.70170181,-2.622183584,0,0.098 +8222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.83320193,-5.914995441,0,0.098 +8229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.19185079,-3.823531879,0,0.098 +8230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.63119282,-4.575003225,0,0.098 +8231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.59569161,-3.582633874,0,0.098 +8232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.78550545,-5.712213456,0,0.098 +8234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.41743578,-3.45982558,0,0.098 +8235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.41270551,-2.575632994,0,0.098 +8233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.73199617,0.276655126,0,0.098 +8237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.51066867,1.306106743,0,0.098 +8236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.3395477,0.132884756,0,0.098 +8238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.1487046,-1.164883843,0,0.098 +8239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.03866391,-0.644435532,0,0.098 +8240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.33038305,-4.633860586,0,0.098 +8241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.4500631,-2.110128705,0,0.098 +8243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.46941704,-1.674732011,0,0.098 +8242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.74245394,-6.201820325,0,0.098 +8246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.14454327,-5.338338515,0,0.098 +8244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.46003187,-2.577991363,0,0.098 +8245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.60752373,0.343039005,0,0.098 +8247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.982968437,-3.106214022,0,0.098 +8248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.22359387,-3.330238551,0,0.098 +8251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.48355265,-7.117061529,0,0.098 +8250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.73873699,-6.30015354,0,0.098 +8249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.75264338,-2.708841767,0,0.098 +8252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.47231315,-5.373178054,0,0.098 +8253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.28569052,-1.241472035,0,0.098 +8255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.05099053,-1.295629837,0,0.098 +8254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.21736977,-2.341624807,0,0.098 +8256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.40546017,-1.855720739,0,0.098 +8258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.50344,-5.249156419,0,0.098 +8257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.33800857,2.350444652,0,0.098 +8259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.32267416,-4.651159725,0,0.098 +8260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.90611694,-2.614257108,0,0.098 +8261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.27083418,-5.053302515,0,0.098 +8262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.47480031,-5.913038582,0,0.098 +8263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.10384815,-3.375721712,0,0.098 +8266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.01438534,-2.191944971,0,0.098 +8265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.02420259,-1.344941149,0,0.098 +8268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.29959483,-1.05297659,0,0.098 +8269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.41249722,-0.78794433,0,0.098 +8267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.50136664,-5.41291926,0,0.098 +8264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.02666839,-3.425608345,0,0.098 +8270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.31146486,-6.362377033,0,0.098 +8272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.21163999,-5.116258334,0,0.098 +8274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.54865744,-6.856479665,0,0.098 +8273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.41658079,-3.717672668,0,0.098 +8271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.2861115,-4.679053758,0,0.098 +8276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.69154364,-2.240402792,0,0.098 +8277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.38838167,-3.970600747,0,0.098 +8275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.49296566,-4.756165732,0,0.098 +8278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.21284168,-0.227879798,0,0.098 +8279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.42277407,-0.039816977,0,0.098 +8281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.78125244,-5.401498182,0,0.098 +8280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.70523181,1.763924168,0,0.098 +8283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.978032205,-0.751773411,0,0.098 +8285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.18996786,-3.261422563,0,0.098 +8286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.7479219,-7.522759501,0,0.098 +8282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.87823355,-6.09376858,0,0.098 +8284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.49318373,0.235663423,0,0.098 +8287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.07518538,-1.14914759,0,0.098 +8290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.17295088,-2.024503395,0,0.098 +8289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.30185514,0.63287839,0,0.098 +8288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.21932995,0.237961047,0,0.098 +8294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.0601535,-1.376157377,0,0.098 +8292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.64893889,-3.501340913,0,0.098 +8291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.50397776,-2.222058176,0,0.098 +8295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.53424259,-1.014785278,0,0.098 +8293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.84043435,-2.297783336,0,0.098 +8297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.12675765,-2.289487089,0,0.098 +8296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.48087756,-1.670966417,0,0.098 +8298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.994477087,-2.928518639,0,0.098 +8300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.52472336,-1.080533871,0,0.098 +8301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.36745549,-4.51274319,0,0.098 +8302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.6581946,-5.418496889,0,0.098 +8299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.929326416,-4.030611678,0,0.098 +8305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.03423804,-5.063426875,0,0.098 +8303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.75127486,-6.500201704,0,0.098 +8304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.42553586,-4.118437541,0,0.098 +8306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.6152656,-3.974064448,0,0.098 +8307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.47219724,-4.170223234,0,0.098 +8310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.52358476,-0.484566523,0,0.098 +8308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.15561809,-1.454799285,0,0.098 +8309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.38519858,-5.414133281,0,0.098 +8311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.5263579,-4.041867401,0,0.098 +8313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.64602856,-0.539274096,0,0.098 +8314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.21654284,-1.252893951,0,0.098 +8312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.43028209,-5.814500186,0,0.098 +8315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.11045404,-0.634240175,0,0.098 +8316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.44706009,-2.510643239,0,0.098 +8318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.2415612,-0.94529403,0,0.098 +8319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.984612209,-2.814277211,0,0.098 +8317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.27240798,-5.283198068,0,0.098 +8320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.25377756,-0.428978696,0,0.098 +8321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.0855861,-0.005520966,0,0.098 +8324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.69467463,-3.273151104,0,0.098 +8322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.1995598,-3.763183562,0,0.098 +8325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.35488059,-3.161199349,0,0.098 +8323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.4114448,0.034911955,0,0.098 +8326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.41702674,-1.403262565,0,0.098 +8328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.09273829,-1.122917315,0,0.098 +8327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.65806015,-2.509496686,0,0.098 +8329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.744824,-3.339753118,0,0.098 +8332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.76328781,1.651111981,0,0.098 +8330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.03963897,-0.834949171,0,0.098 +8333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.8737746,-2.110570195,0,0.098 +8331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.02057594,-4.239140522,0,0.098 +8335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.68907117,-5.291063544,0,0.098 +8334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.93585027,-2.516771078,0,0.098 +8336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.16607065,-3.566379454,0,0.098 +8337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.19599345,-4.566332771,0,0.098 +8338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.77114085,1.500488946,0,0.098 +8340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.31921171,-4.172787856,0,0.098 +8339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.47012012,-3.189721489,0,0.098 +8343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.09161425,-4.918488765,0,0.098 +8341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.6644793,-2.082993536,0,0.098 +8344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.23268604,0.739580957,0,0.098 +8342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.35775959,-1.817582902,0,0.098 +8347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.38493073,-4.78230786,0,0.098 +8346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.01360382,-1.443933989,0,0.098 +8348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.55022072,-3.997682636,0,0.098 +8345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.33035681,-1.854484997,0,0.098 +8349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.60888351,-1.039756291,0,0.098 +8350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.68870673,-0.91978191,0,0.098 +8352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.15467218,-4.77378081,0,0.098 +8351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.74568908,1.839631806,0,0.098 +8353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.10840813,-4.46509606,0,0.098 +8356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.52605887,-0.360513326,0,0.098 +8355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.27874968,-5.135052772,0,0.098 +8357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.04075095,-3.751906431,0,0.098 +8354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.25646658,-5.255815538,0,0.098 +8358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.969802872,-4.68076965,0,0.098 +8360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.62018666,-1.075019132,0,0.098 +8359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.12433832,-3.690799764,0,0.098 +8361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.89817581,-4.545864313,0,0.098 +8363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.30232812,-3.199446636,0,0.098 +8364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.34282884,-1.804744311,0,0.098 +8362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.1367719,-3.43050696,0,0.098 +8365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.69968927,2.645310542,0,0.098 +8366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.38976177,-3.449970342,0,0.098 +8368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.16683734,-4.696696868,0,0.098 +8367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.30763288,-2.160101579,0,0.098 +8369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.57434697,-3.106947901,0,0.098 +8371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.52076355,-6.687957076,0,0.098 +8372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.24245816,-4.186761261,0,0.098 +8373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.62124078,-3.820862794,0,0.098 +8370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.4173028,-2.975139091,0,0.098 +8376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.24890805,-2.978540101,0,0.098 +8375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.66703302,-4.482626471,0,0.098 +8377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.57062004,1.35179035,0,0.098 +8378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.26411113,-1.454405882,0,0.098 +8374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.72984594,-4.590528254,0,0.098 +8380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.137523,-3.095823552,0,0.098 +8381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.18881951,-1.518214349,0,0.098 +8379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.54815213,1.731604171,0,0.098 +8383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.5236402,-2.156109908,0,0.098 +8384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.70699995,-3.299714586,0,0.098 +8382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.2416773,1.551655937,0,0.098 +8387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.10359384,-3.61043059,0,0.098 +8385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.31492549,-4.706899336,0,0.098 +8386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.78220208,-0.253930765,0,0.098 +8389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.10837467,-4.118495506,0,0.098 +8388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.987878632,-6.947697464,0,0.098 +8390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.34766186,-1.262936145,0,0.098 +8392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.27759715,-4.29448196,0,0.098 +8393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.65831053,-4.072277207,0,0.098 +8391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.42264814,-3.693120918,0,0.098 +8395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.43081727,-1.312045728,0,0.098 +8396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.68745192,1.414992173,0,0.098 +8397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.82938756,-2.069463963,0,0.098 +8398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.31591667,-2.283783523,0,0.098 +8394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.34286813,-0.063936626,0,0.098 +8399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.56708963,-3.742682622,0,0.098 +8400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.72779215,-3.092734771,0,0.098 +8401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.16282129,-3.025887684,0,0.098 +8402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.876519327,-5.44587364,0,0.098 +8403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.25362767,-1.368189789,0,0.098 +8404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.15498148,-3.238969162,0,0.098 +8405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.2330845,-3.430326866,0,0.098 +8406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.25627253,-3.589831527,0,0.098 +8408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.269241,-5.431562132,0,0.098 +8407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.3117649,0.38224218,0,0.098 +8410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.67849983,-2.97473285,0,0.098 +8409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.08140806,-4.659076509,0,0.098 +8411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.22111657,-3.146966262,0,0.098 +8413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.40275248,-5.656779618,0,0.098 +8412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.77875608,-5.296823319,0,0.098 +8415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.04569018,-0.287270429,0,0.098 +8416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.42555477,-3.481163502,0,0.098 +8417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.18697877,-2.267332041,0,0.098 +8414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.55265784,-4.284562962,0,0.098 +8418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.01463631,-2.90451036,0,0.098 +8419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.32153736,-4.871773269,0,0.098 +8420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.09875093,-2.860913344,0,0.098 +8421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.07896618,-2.371958992,0,0.098 +8422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.68279012,-1.25210806,0,0.098 +8424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.71451147,-3.092356448,0,0.098 +8425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.67700467,-4.729828073,0,0.098 +8423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.52090508,-1.382471093,0,0.098 +8427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.5309717,-4.094878117,0,0.098 +8426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.69687002,0.285142248,0,0.098 +8429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.65580964,1.1378151,0,0.098 +8430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.40084777,-1.79954465,0,0.098 +8428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.62552133,-4.717173526,0,0.098 +8431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.04419533,-2.487262087,0,0.098 +8432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.24508061,-4.712126788,0,0.098 +8433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.6089597,-4.653282306,0,0.098 +8435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.763385,-5.96516707,0,0.098 +8436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.952849908,-2.232191697,0,0.098 +8434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.16174528,-1.211671639,0,0.098 +8438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.59230522,-5.006702669,0,0.098 +8437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.21516303,-2.739958294,0,0.098 +8439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.957808398,0.848405351,0,0.098 +8440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.31206949,-0.86842028,0,0.098 +8441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.50017431,-0.496531977,0,0.098 +8442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.36430053,-5.632810395,0,0.098 +8444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.06786316,-0.955793865,0,0.098 +8445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.35845555,-0.553781383,0,0.098 +8446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.29511946,1.360636499,0,0.098 +8443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.51997589,-6.472844221,0,0.098 +8447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.44606791,-4.709498656,0,0.098 +8448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.43577297,-7.654973482,0,0.098 +8449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.61364051,-0.987440276,0,0.098 +8451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.54626823,-0.241704199,0,0.098 +8452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.15057606,-2.216915407,0,0.098 +8453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.00534897,-1.607060413,0,0.098 +8454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.29521528,-2.365363472,0,0.098 +8450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.25100735,-1.799247246,0,0.098 +8455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.56540936,-2.575440445,0,0.098 +8456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.14936149,-4.182652663,0,0.098 +8457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.65606763,-2.698166963,0,0.098 +8458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.58186016,-4.728752822,0,0.098 +8460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.61493374,-3.166969616,0,0.098 +8461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.02721896,-1.685090998,0,0.098 +8459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.37568726,-2.969074738,0,0.098 +8463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.83895828,-6.175892468,0,0.098 +8462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.6669581,-3.093552518,0,0.098 +8464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.21937987,-4.663535428,0,0.098 +8465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.75841654,-5.842636017,0,0.098 +8466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.31295577,-1.713641726,0,0.098 +8467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.41722121,-3.678369061,0,0.098 +8468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.64668608,-3.798443464,0,0.098 +8469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.59552867,-3.574296359,0,0.098 +8470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.49045449,-2.813001385,0,0.098 +8472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.86331066,-4.4084236,0,0.098 +8471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.59031101,-1.811066309,0,0.098 +8473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.70630655,-1.217457995,0,0.098 +8474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.50729827,-3.212193976,0,0.098 +8475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.43965331,-4.960370146,0,0.098 +8476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.32264996,2.658454829,0,0.098 +8477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.28620936,-4.794505162,0,0.098 +8478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.6130017,-4.6753775,0,0.098 +8479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.72654079,-0.002015158,0,0.098 +8481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.05545662,-2.363618174,0,0.098 +8482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.43058535,-5.163235196,0,0.098 +8480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.68337243,-1.145202141,0,0.098 +8483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.44988371,-3.521516313,0,0.098 +8484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.70772014,-1.200856543,0,0.098 +8485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.29553063,-4.702417648,0,0.098 +8486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.22906292,-6.051094626,0,0.098 +8487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.60288614,-3.398900326,0,0.098 +8488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.28163379,-0.940495076,0,0.098 +8489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.7317814,-2.319666295,0,0.098 +8490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.64437993,1.825780117,0,0.098 +8491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.62584191,-2.352097522,0,0.098 +8492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.17905021,-6.192328444,0,0.098 +8493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.1652119,0.132116945,0,0.098 +8494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.57526535,1.39143448,0,0.098 +8495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.70532036,-3.884728107,0,0.098 +8496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.27117709,-1.0830551,0,0.098 +8497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.83937934,-6.459054544,0,0.098 +8499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.05251843,-1.350930175,0,0.098 +8500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.14520836,-1.601715455,0,0.098 +8501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.64882014,-6.358694351,0,0.098 +8502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.35972189,-0.479783728,0,0.098 +8498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.989107271,-3.785570713,0,0.098 +8503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.84779334,0.558629698,0,0.098 +8504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.83256837,-2.306135562,0,0.098 +8505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.67077978,-5.865149302,0,0.098 +8506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.63220614,-2.301978112,0,0.098 +8507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.23159923,-5.457078168,0,0.098 +8509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.06970597,0.34517113,0,0.098 +8508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.04214886,-4.825590482,0,0.098 +8511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.89515997,-1.060914663,0,0.098 +8510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.34471426,0.506106521,0,0.098 +8512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.72354845,-3.634739236,0,0.098 +8513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.28182401,-4.388662853,0,0.098 +8514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.7534628,-5.061133812,0,0.098 +8515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.971404866,-3.717632569,0,0.098 +8516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.78051147,-3.813526572,0,0.098 +8517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.11055424,-0.238380771,0,0.098 +8518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.982762193,-2.784570073,0,0.098 +8520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.27422075,-1.465347106,0,0.098 +8521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.81809077,-3.961157233,0,0.098 +8522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.22066487,-1.69555386,0,0.098 +8519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.77135558,-5.722170677,0,0.098 +8523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.47973632,-0.349743362,0,0.098 +8524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.63660237,-3.498641204,0,0.098 +8525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.40149587,-1.007791551,0,0.098 +8526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.973747603,-3.216581264,0,0.098 +8527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.61365848,0.736083416,0,0.098 +8528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.06189347,-3.872702367,0,0.098 +8529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.26085621,-1.81073667,0,0.098 +8531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.59794361,-0.620538737,0,0.098 +8530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.00222522,-1.718060352,0,0.098 +8532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.14606639,-2.469859364,0,0.098 +8533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.11096705,1.159100759,0,0.098 +8534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.18217892,-2.427229225,0,0.098 +8535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.51478827,-4.431247872,0,0.098 +8536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.16252226,-5.040313442,0,0.098 +8537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.11485962,1.629886362,0,0.098 +8538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.13233937,-3.165665748,0,0.098 +8540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.39380851,-3.961812311,0,0.098 +8541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.0419677,-1.471324245,0,0.098 +8539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.03253024,-5.017143832,0,0.098 +8542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.20115164,-2.407872746,0,0.098 +8543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.6578639,-2.771683242,0,0.098 +8544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.12225616,0.588869846,0,0.098 +8545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.45843453,-2.898509792,0,0.098 +8546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.38069568,-4.550735299,0,0.098 +8547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.14381748,-0.113162288,0,0.098 +8548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.75170232,-2.939085276,0,0.098 +8549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.01902046,-3.003788527,0,0.098 +8550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.21078835,-2.853067703,0,0.098 +8551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.49893953,-3.198337226,0,0.098 +8552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.19736787,-3.798794428,0,0.098 +8553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.59591789,-1.008337248,0,0.098 +8554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.44717243,-4.871297422,0,0.098 +8556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.82540628,-2.932033293,0,0.098 +8555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.70119964,-3.737276183,0,0.098 +8558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.05610345,-3.677620391,0,0.098 +8561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.4449263,-0.911748876,0,0.098 +8560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.15684363,-4.448647292,0,0.098 +8559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.11541353,-3.353122583,0,0.098 +8557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.55565192,-3.103351437,0,0.098 +8562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.39253518,-6.922319919,0,0.098 +8564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.02481242,-1.071962076,0,0.098 +8563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.24599038,-1.871395161,0,0.098 +8565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.57286184,-4.170128889,0,0.098 +8567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.29938638,-5.436726653,0,0.098 +8568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.42947817,-3.010015797,0,0.098 +8566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.07068226,-2.53854702,0,0.098 +8569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.34921794,-2.577656318,0,0.098 +8570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.14546234,-3.134082304,0,0.098 +8571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.72944113,-3.111611861,0,0.098 +8572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.28585711,-2.381019593,0,0.098 +8573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.19803053,0.978691146,0,0.098 +8575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.19994914,-1.067497994,0,0.098 +8576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.48803842,0.254807406,0,0.098 +8574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.390811,-1.042679635,0,0.098 +8578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.20131425,-2.189282611,0,0.098 +8579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.57124617,0.047158068,0,0.098 +8580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.35354063,-2.749828849,0,0.098 +8577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.12696735,-6.197467739,0,0.098 +8582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.40085172,-1.868438349,0,0.098 +8581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.6937265,-3.17774786,0,0.098 +8583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.38022587,-0.159592626,0,0.098 +8584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.24339406,0.327584965,0,0.098 +8585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.29652106,-4.270301931,0,0.098 +8587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.10218713,-3.893407793,0,0.098 +8586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.29013851,-2.983188554,0,0.098 +8588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.20487877,-4.69670391,0,0.098 +8589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.62324773,2.513588166,0,0.098 +8591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.06127047,-2.498846933,0,0.098 +8592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.02739787,-5.575834562,0,0.098 +8590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.51085574,-3.340696823,0,0.098 +8593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.08805701,-1.578631395,0,0.098 +8594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.32326986,-3.401940617,0,0.098 +8595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.5572838,-0.655986226,0,0.098 +8596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.15174201,-4.427572209,0,0.098 +8598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.55459104,-5.810559138,0,0.098 +8600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.60322503,-0.001342461,0,0.098 +8599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.7893258,-2.980777298,0,0.098 +8597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.835077566,-4.207627333,0,0.098 +8601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.07500128,-5.917634283,0,0.098 +8602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.33920076,-1.958483865,0,0.098 +8603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.52280696,0.032003714,0,0.098 +8604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.18400692,0.185809788,0,0.098 +8605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.28276745,-5.284249441,0,0.098 +8606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.464014,-3.792972709,0,0.098 +8608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.49292503,-3.121936544,0,0.098 +8607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.1860552,-1.989151679,0,0.098 +8609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.22074018,-1.02158739,0,0.098 +8610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.49376204,-3.959516343,0,0.098 +8611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.35809958,-5.399378681,0,0.098 +8613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.65454441,-5.277788861,0,0.098 +8614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.79812341,-3.892165318,0,0.098 +8616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.08320174,0.514840718,0,0.098 +8615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.10981493,1.955853525,0,0.098 +8617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.41101162,-4.869273985,0,0.098 +8612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.70241968,-0.692802044,0,0.098 +8618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.19775121,-3.747397694,0,0.098 +8619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.12598652,-6.124748062,0,0.098 +8620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.14331563,-3.203757204,0,0.098 +8623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.20086649,-2.261239339,0,0.098 +8621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.18251973,-1.61857678,0,0.098 +8622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.10926414,-0.323021415,0,0.098 +8624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.41805276,-2.608526028,0,0.098 +8626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.03237298,-1.704376024,0,0.098 +8627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.1031589,-1.288166555,0,0.098 +8625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.7435436,-2.220714509,0,0.098 +8628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.60188425,-3.667078653,0,0.098 +8629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.4947066,-4.04841472,0,0.098 +8631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.08874191,-2.346217067,0,0.098 +8630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.25364058,-6.208145623,0,0.098 +8633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.66172312,-5.728948542,0,0.098 +8632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.44304807,-1.278990717,0,0.098 +8634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.59730618,-2.214547731,0,0.098 +8635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.82904076,-3.983225012,0,0.098 +8636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.37942361,-3.800734724,0,0.098 +8638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.899196735,-5.535335591,0,0.098 +8637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.51287178,-2.388267719,0,0.098 +8639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.22447942,-4.433063675,0,0.098 +8640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.37512232,-4.307096188,0,0.098 +8641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.56624259,-6.667898698,0,0.098 +8642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.43490038,-2.353931996,0,0.098 +8643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.36964773,1.375601171,0,0.098 +8645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.14952029,-3.965148128,0,0.098 +8644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.992823717,0.550741647,0,0.098 +8647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.72836411,0.249295218,0,0.098 +8646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.09068101,-4.269157286,0,0.098 +8648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.56935444,-4.170299659,0,0.098 +8649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.45671263,-7.60E-04,0,0.098 +8650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.76849877,-5.243321824,0,0.098 +8652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.2622951,-3.081504389,0,0.098 +8653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.33678429,-2.457841193,0,0.098 +8654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.34786561,-2.246100239,0,0.098 +8651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.4470121,-0.511003722,0,0.098 +8655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.999962048,-2.299013497,0,0.098 +8656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.68334302,-4.446940245,0,0.098 +8657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.64024107,-2.187330489,0,0.098 +8658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.36378724,-3.537112519,0,0.098 +8660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.07198112,-7.086919963,0,0.098 +8663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.0575699,-2.122673138,0,0.098 +8661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.50745965,0.775576897,0,0.098 +8659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.35015559,-0.791351813,0,0.098 +8664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.21702787,-0.593511872,0,0.098 +8665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.28183862,-0.309537018,0,0.098 +8666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.29513773,-4.575668094,0,0.098 +8662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.49461684,-6.683163748,0,0.098 +8669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.08517164,-2.708365557,0,0.098 +8668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.34125664,-5.277839128,0,0.098 +8667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.65029828,-0.498412671,0,0.098 +8670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.10417675,-3.402891162,0,0.098 +8671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.18786132,0.405935544,0,0.098 +8672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.61931268,-2.658380736,0,0.098 +8673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.50043276,-4.875061022,0,0.098 +8674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.33079015,-3.7859456,0,0.098 +8676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.985291957,-4.086121806,0,0.098 +8678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.06609799,-0.459179616,0,0.098 +8677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.48582766,0.794614302,0,0.098 +8675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.32173901,-6.153962557,0,0.098 +8679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.904851054,0.271429071,0,0.098 +8681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.67801984,-5.202239086,0,0.098 +8680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.41596202,-1.392248775,0,0.098 +8682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.05739148,-1.362172852,0,0.098 +8683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.7644929,-2.118415744,0,0.098 +8684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.68501264,-3.223108696,0,0.098 +8685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.19093212,-0.627279471,0,0.098 +8686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.32237272,-2.818018035,0,0.098 +8687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.836239878,-1.265314296,0,0.098 +8688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.30463601,-3.500395774,0,0.098 +8689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.20988036,-2.979569565,0,0.098 +8690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.27801319,-3.483545167,0,0.098 +8691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.03281823,-2.124418608,0,0.098 +8692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.60521859,-2.795498449,0,0.098 +8693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.40231079,-4.98684437,0,0.098 +8694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.22765424,-2.203365794,0,0.098 +8695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.19512226,-0.583972227,0,0.098 +8696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.77143358,-5.141249582,0,0.098 +8697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.50309875,-7.835269028,0,0.098 +8699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.1610106,-2.50508402,0,0.098 +8700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.5881849,-1.493329214,0,0.098 +8702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.19458188,-3.84270614,0,0.098 +8704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.10603233,-1.591369108,0,0.098 +8701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.35750297,-1.927830904,0,0.098 +8705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.92852137,3.104330269,0,0.098 +8698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.68186228,-3.377887256,0,0.098 +8703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.24716904,-2.249043688,0,0.098 +8706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.46498984,-4.283140791,0,0.098 +8707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.71607057,-4.798799648,0,0.098 +8708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.62125637,-1.857000037,0,0.098 +8711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.25384555,-4.334651139,0,0.098 +8709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.09966385,-5.055365426,0,0.098 +8712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.71978064,-3.867027931,0,0.098 +8713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.77011362,-3.566501278,0,0.098 +8710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.5732538,-2.167944166,0,0.098 +8714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.19877779,-5.043861946,0,0.098 +8716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.67711208,0.317624061,0,0.098 +8715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.74053851,-5.343872604,0,0.098 +8718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.6912696,-0.471313751,0,0.098 +8720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.80048493,-4.160357903,0,0.098 +8717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.551091,-1.927365042,0,0.098 +8721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.46797153,-4.974217148,0,0.098 +8719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.05109777,0.43614384,0,0.098 +8722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.6723819,-2.454622762,0,0.098 +8723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.50356865,-0.381675676,0,0.098 +8724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.5564253,0.121849125,0,0.098 +8725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.66420012,-2.785228918,0,0.098 +8726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.27240595,-2.291018502,0,0.098 +8727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.937929171,1.156310866,0,0.098 +8728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.982159018,-3.847006536,0,0.098 +8730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.38745076,-5.546664571,0,0.098 +8731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.57882123,0.743169131,0,0.098 +8729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.47632297,-4.740712144,0,0.098 +8733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.33311251,-2.73348767,0,0.098 +8734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.46362726,-3.900823566,0,0.098 +8735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.45133863,2.430784593,0,0.098 +8732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.10816854,-3.371829857,0,0.098 +8736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.4023575,-4.00538096,0,0.098 +8737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.79826888,-2.300382041,0,0.098 +8738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.896954616,-4.271858778,0,0.098 +8741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.20430237,-2.707515025,0,0.098 +8742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.64814887,-4.08708043,0,0.098 +8740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.87618214,-4.162890382,0,0.098 +8743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.49141046,-4.578809501,0,0.098 +8739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.74802358,-7.527026157,0,0.098 +8745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.29559657,-0.550046833,0,0.098 +8744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.24066134,-3.804898637,0,0.098 +8747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.75771349,-4.067393249,0,0.098 +8749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.4003496,-5.725130722,0,0.098 +8746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.38179302,-4.204522778,0,0.098 +8748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.40744924,-4.298594561,0,0.098 +8750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.35546704,-5.084297806,0,0.098 +8751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.02246555,-3.000290193,0,0.098 +8752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.3564901,-1.317903513,0,0.098 +8753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.1499091,-3.529540232,0,0.098 +8754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.16338521,-7.095520539,0,0.098 +8756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.47840819,-0.862906937,0,0.098 +8755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.08468658,0.096103657,0,0.098 +8757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.70841811,-4.192416253,0,0.098 +8758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.05837054,-1.554431869,0,0.098 +8760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.25846925,-1.435774264,0,0.098 +8761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.23362104,-4.696607896,0,0.098 +8759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.83705771,-2.63873591,0,0.098 +8762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.37445434,-5.447219789,0,0.098 +8764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.904482985,0.695359175,0,0.098 +8763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.60982369,-4.530162576,0,0.098 +8767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.67640781,-4.264961376,0,0.098 +8765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.7136471,0.153255702,0,0.098 +8766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.52313045,-2.915460843,0,0.098 +8768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.07583205,-4.49771498,0,0.098 +8770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.47169158,-4.449746087,0,0.098 +8771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.57384771,-1.664560094,0,0.098 +8772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.51512204,-0.654852521,0,0.098 +8769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.78877505,-1.368705091,0,0.098 +8773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.1402076,-3.783205114,0,0.098 +8774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.978355929,-4.666736575,0,0.098 +8775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.35240009,-2.359699737,0,0.098 +8776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.53806497,-1.414332156,0,0.098 +8777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.30914925,-4.077250472,0,0.098 +8778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.36945525,-4.357005378,0,0.098 +8779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.82330349,-3.504851829,0,0.098 +8781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.948657685,-3.998993539,0,0.098 +8780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.16308353,-4.413356131,0,0.098 +8783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.34643787,-5.702978293,0,0.098 +8782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.54878933,-3.710387801,0,0.098 +8784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.15330659,-0.116363097,0,0.098 +8786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.26902753,0.322507582,0,0.098 +8785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.68638759,-3.553137266,0,0.098 +8787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.45942514,1.839604917,0,0.098 +8788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.2240559,-1.364781679,0,0.098 +8789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.7939733,-3.216920497,0,0.098 +8791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.33812936,-1.290470369,0,0.098 +8790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.937910985,0.438136982,0,0.098 +8794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.4342867,-3.016670153,0,0.098 +8793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.71126219,-2.785527864,0,0.098 +8792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.81505765,-4.970638939,0,0.098 +8796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.21093877,-5.398414954,0,0.098 +8795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.11958792,-0.245891529,0,0.098 +8798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.35395953,-3.515563117,0,0.098 +8799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.77906921,-3.891327863,0,0.098 +8797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.02981495,0.08744169,0,0.098 +8800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.35904466,-1.919679762,0,0.098 +8801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.21028809,-5.623693276,0,0.098 +8802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.10296043,-2.244626911,0,0.098 +8804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.54548632,-1.43245999,0,0.098 +8803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.37475679,-3.438944869,0,0.098 +8805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.44688489,-1.135496399,0,0.098 +8806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.58573869,-2.011368158,0,0.098 +8808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.52352372,-2.17567463,0,0.098 +8810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.38410317,-5.700917563,0,0.098 +8809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.2994863,-3.418383993,0,0.098 +8811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.62813872,-2.440820877,0,0.098 +8812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.82362402,-0.593187948,0,0.098 +8807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.62456415,-2.074085572,0,0.098 +8813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.2373174,-4.361614242,0,0.098 +8814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.16580709,-6.681882204,0,0.098 +8815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.09996693,-0.788245759,0,0.098 +8816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.79841208,-1.719670593,0,0.098 +8819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.945010915,0.217844444,0,0.098 +8818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.05638874,0.514116962,0,0.098 +8817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.28138532,-3.38959819,0,0.098 +8820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.11062404,-4.142046637,0,0.098 +8821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.25451054,-3.868587195,0,0.098 +8823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.4120546,-0.755300659,0,0.098 +8822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.44997956,-0.801145802,0,0.098 +8824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.60648418,-1.394585824,0,0.098 +8825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.6544504,-1.165884557,0,0.098 +8826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.63146451,1.386635973,0,0.098 +8827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.19711779,-3.55999022,0,0.098 +8828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.43113501,-1.028412718,0,0.098 +8829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.59301944,1.286877077,0,0.098 +8830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.75175293,-5.509308871,0,0.098 +8831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.14429175,-2.060640011,0,0.098 +8832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.1942398,-5.453253559,0,0.098 +8833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.36733847,-3.339731255,0,0.098 +8834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.48151564,-5.023319862,0,0.098 +8835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.53760628,-5.065386075,0,0.098 +8837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.59753312,-4.766849549,0,0.098 +8836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.04440382,-1.900461733,0,0.098 +8838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.45323364,-1.167510174,0,0.098 +8839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.59452697,-1.82233267,0,0.098 +8840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.27856279,-0.852918549,0,0.098 +8841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.69013577,-0.625780617,0,0.098 +8842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.30075369,-3.900027954,0,0.098 +8843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.40403498,1.646521,0,0.098 +8844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.16299588,-3.624435536,0,0.098 +8846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.14874685,-0.287328402,0,0.098 +8845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.13701452,-2.858650959,0,0.098 +8847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.44030575,0.232380195,0,0.098 +8849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.40633986,-1.447946856,0,0.098 +8848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.45373671,-3.011796964,0,0.098 +8852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.49405737,1.807502934,0,0.098 +8851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.08231574,-3.670521508,0,0.098 +8850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.67983852,-4.271528118,0,0.098 +8853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.43249268,-1.598278559,0,0.098 +8855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.3949994,-3.22935433,0,0.098 +8857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.92254157,-4.000468984,0,0.098 +8856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.23611441,-0.845542531,0,0.098 +8854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.65291494,-3.420309495,0,0.098 +8858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.33857743,-1.888036259,0,0.098 +8859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.944814394,-4.831196877,0,0.098 +8860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.82698707,-0.859373025,0,0.098 +8861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.6635032,-3.110005999,0,0.098 +8863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.7690738,-2.355848589,0,0.098 +8862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.03947724,-2.097830844,0,0.098 +8864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.58914677,-4.31141448,0,0.098 +8865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.42963816,-1.835164982,0,0.098 +8866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.79193644,-3.940454034,0,0.098 +8867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.08513782,-0.995592529,0,0.098 +8868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.72116957,-3.661744807,0,0.098 +8869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.37373497,-1.781302854,0,0.098 +8870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.14094787,-4.713251522,0,0.098 +8871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.986821449,-4.253164118,0,0.098 +8872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.248179,-6.434408536,0,0.098 +8875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.72904603,-2.780002855,0,0.098 +8874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.3149186,-3.123889964,0,0.098 +8876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.75266805,-2.532090175,0,0.098 +8873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.5491092,-4.136297013,0,0.098 +8877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.34564692,-3.810012771,0,0.098 +8878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.49010753,-3.170435795,0,0.098 +8880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.18692589,-4.092530564,0,0.098 +8879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.57583573,-3.617734307,0,0.098 +8882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.46877841,-1.190383585,0,0.098 +8883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.54028379,-4.468954934,0,0.098 +8885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.16679064,-3.569246138,0,0.098 +8881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.36094881,-4.334568537,0,0.098 +8884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.06886346,-2.001037955,0,0.098 +8886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.53724128,-3.016169451,0,0.098 +8887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.23770336,-4.004038148,0,0.098 +8888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.641022,-3.454465516,0,0.098 +8892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.06127681,-4.238122649,0,0.098 +8891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.70836069,-2.151292516,0,0.098 +8889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.76967413,-4.225580773,0,0.098 +8890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.24850506,-2.101147384,0,0.098 +8894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.55968998,1.828931069,0,0.098 +8895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.41272466,-4.752573827,0,0.098 +8893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.42253375,-1.295250406,0,0.098 +8897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.49194128,-0.75498569,0,0.098 +8896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.37109787,-1.91366133,0,0.098 +8898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.7819886,-0.053291643,0,0.098 +8900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.60546487,-2.701796808,0,0.098 +8899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.01997409,-3.393832496,0,0.098 +8901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.39460985,-2.611187593,0,0.098 +8902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.04529313,-1.311901207,0,0.098 +8903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.72431978,-1.938811517,0,0.098 +8905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.49836138,0.252023924,0,0.098 +8904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.48231201,-4.969116794,0,0.098 +8906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.950291039,-0.175102122,0,0.098 +8908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.82724695,-4.253164558,0,0.098 +8909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.58147442,-8.188203677,0,0.098 +8907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.19273296,-2.281491467,0,0.098 +8910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.14029127,-6.744112136,0,0.098 +8911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.32837985,-3.041940796,0,0.098 +8912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.56150132,-4.349353899,0,0.098 +8913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.64770907,-2.607381507,0,0.098 +8914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.71246988,-1.056681895,0,0.098 +8915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.08469211,-5.525715908,0,0.098 +8916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.46888688,-3.784641325,0,0.098 +8917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.1280189,-6.918303944,0,0.098 +8918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.32206272,-3.87891121,0,0.098 +8920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.51831321,-2.712265058,0,0.098 +8919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.11343873,-2.052609559,0,0.098 +8922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.19209871,-3.855007597,0,0.098 +8923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.64219083,-2.388809188,0,0.098 +8921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.55021892,0.416940629,0,0.098 +8924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.62765229,1.954462868,0,0.098 +8925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.38287219,-2.680352445,0,0.098 +8926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.59792914,-0.471579336,0,0.098 +8927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.70272469,-4.882769555,0,0.098 +8928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.74707097,-3.267268835,0,0.098 +8929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.06366798,-6.172271026,0,0.098 +8931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.952534701,-1.393484042,0,0.098 +8930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.81401814,-5.641520746,0,0.098 +8932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.978851893,-3.454211405,0,0.098 +8933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.65411011,-4.8033535,0,0.098 +8934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.17219891,-3.836284495,0,0.098 +8935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.62625018,-3.800448593,0,0.098 +8937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.89462171,-2.487669647,0,0.098 +8938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.39796984,-3.254534872,0,0.098 +8936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.22141732,-2.914753311,0,0.098 +8939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.25165418,-5.138610589,0,0.098 +8942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.23607565,0.515897075,0,0.098 +8941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.0558994,-0.835067939,0,0.098 +8940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.35264637,0.714049007,0,0.098 +8943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.34790015,-2.181139085,0,0.098 +8944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.53472927,1.765007434,0,0.098 +8946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.10300737,-2.565785774,0,0.098 +8945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.27666315,-1.488959504,0,0.098 +8947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.33165736,-3.420500795,0,0.098 +8948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.13392213,-5.371198047,0,0.098 +8950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.2300446,-2.858091054,0,0.098 +8951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.25015259,-4.085505647,0,0.098 +8952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.06057888,-1.154376438,0,0.098 +8953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.59721882,-0.829826956,0,0.098 +8954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.40653983,-1.499355682,0,0.098 +8949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.79944195,-3.587041946,0,0.098 +8955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.20720443,-5.382498117,0,0.098 +8956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.63434009,-0.350269984,0,0.098 +8957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.15473254,-5.414689515,0,0.098 +8958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.99831952,-2.281532822,0,0.098 +8959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.38700883,0.448882673,0,0.098 +8960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.62494954,-0.702778593,0,0.098 +8963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.30349492,-3.960240396,0,0.098 +8962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.24455217,-4.59058043,0,0.098 +8961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.25828773,-4.058666769,0,0.098 +8964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.30926609,-3.876908927,0,0.098 +8966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.5352438,-2.123515042,0,0.098 +8967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.11567509,-4.85276188,0,0.098 +8968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.48395689,-5.678838447,0,0.098 +8971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.37258868,-4.860506511,0,0.098 +8969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.64892003,-2.692196221,0,0.098 +8965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.50008186,-5.113515003,0,0.098 +8972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.60104801,-4.983387088,0,0.098 +8970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.1379196,-2.531889712,0,0.098 +8974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.05042281,-2.513559538,0,0.098 +8977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.44525094,1.289096168,0,0.098 +8973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.65334985,-5.15349256,0,0.098 +8975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.34708913,-2.156262461,0,0.098 +8976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.58425256,-5.415163925,0,0.098 +8979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.30773411,0.012436858,0,0.098 +8978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.974940121,-1.563528364,0,0.098 +8981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.65525471,-3.410848921,0,0.098 +8980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.06729174,-3.935441318,0,0.098 +8983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.01200614,-1.430721565,0,0.098 +8982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.77185351,-2.104881203,0,0.098 +8985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.24522262,-4.179692793,0,0.098 +8984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.28392045,-6.809556123,0,0.098 +8986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.12506187,-6.725977071,0,0.098 +8987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.3380785,-2.268771889,0,0.098 +8991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.73242805,-1.842067093,0,0.098 +8988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.03794561,-2.300780361,0,0.098 +8990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.47758942,-5.098535052,0,0.098 +8993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.52568175,-2.175708461,0,0.098 +8989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.41500301,-4.505069335,0,0.098 +8994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.993686892,-1.114018598,0,0.098 +8992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.55845949,1.649089829,0,0.098 +8995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.928103707,-3.56480386,0,0.098 +8996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-9.957426856,-3.584793235,0,0.098 +8997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.88120883,-5.202805028,0,0.098 +8998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.26620713,-3.363121412,0,0.098 +8999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.61044176,-2.648467525,0,0.098 +9000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.4,10,1,-10.37379674,-1.731027866,0,0.098 +9001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.13156328,-4.426862184,0,0.01 +9002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.82217745,-6.258826217,0,0.01 +9003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.6994089,-4.886535738,0,0.01 +9005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.993765466,-6.806412027,0,0.01 +9004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.72448914,-4.308796059,0,0.01 +9009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.11911913,-5.001814185,0,0.01 +9007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.09695822,-5.137962105,0,0.01 +9006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.22155008,-6.131251396,0,0.01 +9010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.71816494,-2.587214026,0,0.01 +9011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.10680372,-5.253822413,0,0.01 +9008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.35464808,-4.467865245,0,0.01 +9012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.73699556,-5.437475477,0,0.01 +9013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.33162878,-5.170403644,0,0.01 +9015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.38533088,-4.092809449,0,0.01 +9016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.51207278,-5.69241342,0,0.01 +9014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.12256474,-4.751012045,0,0.01 +9018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.40211478,-7.994981525,0,0.01 +9017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.25255534,-4.248276311,0,0.01 +9020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.22189362,-5.829146825,0,0.01 +9019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.41744901,-3.633433919,0,0.01 +9021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.72536006,-1.539372543,0,0.01 +9022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.67692298,-5.989016475,0,0.01 +9024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.09927829,-4.150078294,0,0.01 +9023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.28374027,-5.704144884,0,0.01 +9025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.14342818,-6.487789412,0,0.01 +9026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.52541837,-4.9959256,0,0.01 +9027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.7789456,-0.474255227,0,0.01 +9029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.73141157,-4.732529535,0,0.01 +9028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.89366895,-6.681274768,0,0.01 +9030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.06352495,-6.412338847,0,0.01 +9032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.06180418,-5.865276477,0,0.01 +9031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.24899858,-0.342250443,0,0.01 +9034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.69937517,-2.307500565,0,0.01 +9033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.31513539,-3.347650831,0,0.01 +9035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.07505123,-6.83706237,0,0.01 +9036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.86178573,-3.817897592,0,0.01 +9037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.60178928,-5.269285711,0,0.01 +9038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.07776028,-6.181359972,0,0.01 +9039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.990529601,-2.850497468,0,0.01 +9040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.82296209,-4.763751951,0,0.01 +9041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.41466495,-3.629957412,0,0.01 +9042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.66244909,-6.054341343,0,0.01 +9043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.68973158,-4.400204872,0,0.01 +9044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.55384375,-6.932468191,0,0.01 +9045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.947795847,-5.677639447,0,0.01 +9046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.00901452,-3.200512061,0,0.01 +9048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.08398007,-7.759594282,0,0.01 +9049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.56886071,-4.972593519,0,0.01 +9047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.66481948,-4.349646545,0,0.01 +9051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.68254138,-3.645532366,0,0.01 +9050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.53481931,-3.975298046,0,0.01 +9052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.23197127,-6.238036056,0,0.01 +9053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.30743533,-4.442988679,0,0.01 +9055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.45776726,-6.062809228,0,0.01 +9054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.1183373,-7.004866564,0,0.01 +9056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.72111303,-5.676489414,0,0.01 +9058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.74999687,-6.492037251,0,0.01 +9059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.63582868,-7.539071815,0,0.01 +9060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.43041622,-3.903709238,0,0.01 +9057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.02282503,-4.96710474,0,0.01 +9061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.11556898,-2.122890752,0,0.01 +9062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.977222165,-1.315410316,0,0.01 +9063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.0647881,-4.553746414,0,0.01 +9064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.61786874,-2.878381735,0,0.01 +9065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.50459463,-3.427815742,0,0.01 +9067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.47611997,-2.736839673,0,0.01 +9066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.7667514,-5.387156127,0,0.01 +9068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.37674651,-8.023574731,0,0.01 +9069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.62448328,-4.836643473,0,0.01 +9070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.11864395,-6.100210017,0,0.01 +9071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.38807138,-4.290039904,0,0.01 +9072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.19257366,-4.358017449,0,0.01 +9073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.39713764,-2.151170326,0,0.01 +9075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.00555457,-5.163703823,0,0.01 +9074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.58673374,-6.318447027,0,0.01 +9076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.04413518,-7.373920066,0,0.01 +9077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.12206742,-1.841155346,0,0.01 +9078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.78484457,-7.450042727,0,0.01 +9079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.13040469,-6.743248419,0,0.01 +9080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.19051703,-5.421997878,0,0.01 +9081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.86584272,-7.806367513,0,0.01 +9082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.63896778,-5.993392617,0,0.01 +9083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.67330601,-6.192262005,0,0.01 +9084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.56116964,-7.12649367,0,0.01 +9085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.34656632,-4.198392569,0,0.01 +9086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.60733278,-2.827747244,0,0.01 +9087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.06464059,-4.783730357,0,0.01 +9088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.03827693,-3.965199541,0,0.01 +9089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.66101966,-7.271814511,0,0.01 +9091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.60825771,-4.98713195,0,0.01 +9090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.42333621,-2.80121436,0,0.01 +9093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.37281259,-4.742865012,0,0.01 +9092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.43114803,-6.025026806,0,0.01 +9094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.63742391,-3.281761348,0,0.01 +9095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.51044881,-2.591555397,0,0.01 +9096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.44636348,-5.926248982,0,0.01 +9097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.78543336,-0.912542305,0,0.01 +9098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.85953576,-7.282702034,0,0.01 +9099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.22464193,-5.469868952,0,0.01 +9100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.78600034,-7.232486514,0,0.01 +9101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.35324295,-3.573388545,0,0.01 +9102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.39946761,-2.990566558,0,0.01 +9103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.68908453,-6.704534749,0,0.01 +9104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.81628406,-4.161852069,0,0.01 +9105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.10422421,-3.870538692,0,0.01 +9106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.24323939,-4.745336251,0,0.01 +9107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.76981743,-6.459971515,0,0.01 +9108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.36537419,-3.992272843,0,0.01 +9110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.25432634,-4.529211343,0,0.01 +9109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.47842207,-4.682311876,0,0.01 +9111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.4820549,-7.172029023,0,0.01 +9113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.19275776,-7.130319935,0,0.01 +9112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.22872135,-3.283001112,0,0.01 +9114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.24994247,-5.212311213,0,0.01 +9115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.72710795,-0.304487444,0,0.01 +9116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.55794663,-1.336924746,0,0.01 +9117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.68719506,-3.787794711,0,0.01 +9119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.16045493,-7.041677963,0,0.01 +9118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.29431005,-4.904369242,0,0.01 +9121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.35476179,-7.457249704,0,0.01 +9120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.03658498,0.687867372,0,0.01 +9122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.29554044,-3.196103594,0,0.01 +9124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.5487763,-5.724213723,0,0.01 +9123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.81212663,-4.481253608,0,0.01 +9125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.98920591,-1.825887823,0,0.01 +9126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.57574989,-2.165764613,0,0.01 +9129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.997156469,-3.855149551,0,0.01 +9130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.65648044,-2.24871544,0,0.01 +9127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.01193243,-5.462397284,0,0.01 +9132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.979369048,-6.03852717,0,0.01 +9131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.45163162,-5.230952004,0,0.01 +9128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.4121612,-6.094768481,0,0.01 +9134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.14747068,-3.906720353,0,0.01 +9133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.66794611,-3.950381469,0,0.01 +9135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.36317659,-2.814358311,0,0.01 +9136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.58367414,-4.448451005,0,0.01 +9139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.09250536,-3.559923346,0,0.01 +9140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.26079047,-5.891405158,0,0.01 +9138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.35655169,-2.679734641,0,0.01 +9137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.75925613,-5.539181615,0,0.01 +9142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.80907132,-4.234266483,0,0.01 +9143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.47530296,-1.018640257,0,0.01 +9141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.36519971,-3.337341846,0,0.01 +9144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.32280821,-2.997749122,0,0.01 +9145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.60788302,-3.591949361,0,0.01 +9147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.22432961,-1.516773847,0,0.01 +9146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.07437107,0.105229859,0,0.01 +9148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.1784232,-5.244214964,0,0.01 +9149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.68450859,-7.633948938,0,0.01 +9150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.29889909,-3.812667813,0,0.01 +9151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.24021496,-5.206168446,0,0.01 +9152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.997147204,-4.575306103,0,0.01 +9153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.972615622,-2.476914755,0,0.01 +9154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.24669094,-6.291513414,0,0.01 +9155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.64175308,-3.542741074,0,0.01 +9157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.56979297,-2.761230945,0,0.01 +9158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.32903563,-3.999291291,0,0.01 +9156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.18305664,-3.747746161,0,0.01 +9159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.26627042,-5.620307279,0,0.01 +9161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.935990591,-4.246528918,0,0.01 +9160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.13599308,-6.912137031,0,0.01 +9162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.06339799,-5.574844516,0,0.01 +9163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.57951212,-6.130965319,0,0.01 +9164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.5793479,-4.440952964,0,0.01 +9165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.46595001,-6.825051886,0,0.01 +9166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.75613233,-4.724742443,0,0.01 +9167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.69290218,-6.041618708,0,0.01 +9168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.09846643,-5.908930626,0,0.01 +9169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.1600018,-3.524788014,0,0.01 +9171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.49920371,-4.650001743,0,0.01 +9170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.01816027,-5.205072989,0,0.01 +9173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.09111129,-6.72520223,0,0.01 +9174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.37156702,-2.380053707,0,0.01 +9175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.46085815,0.114287107,0,0.01 +9176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.22766479,-3.459710687,0,0.01 +9172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.12355893,-4.966612529,0,0.01 +9178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.02084504,-5.767014411,0,0.01 +9179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.45763003,-4.837418584,0,0.01 +9177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.05438548,-6.467982555,0,0.01 +9180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.61356008,-4.150403223,0,0.01 +9181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.68020127,-7.202222052,0,0.01 +9182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.73802184,-3.748781758,0,0.01 +9183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.48167586,-1.030812284,0,0.01 +9184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.60165282,-4.821018709,0,0.01 +9186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.18926128,-5.11578479,0,0.01 +9185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.29662534,-5.609177246,0,0.01 +9188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.6267758,-3.800360367,0,0.01 +9189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.14498409,-4.33474068,0,0.01 +9191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.05772894,-5.986069286,0,0.01 +9190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.30143073,-5.75216984,0,0.01 +9187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.86262491,-3.752553343,0,0.01 +9192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.59809401,-5.263404751,0,0.01 +9193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.40766456,-7.323149566,0,0.01 +9194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.58419044,-4.047489632,0,0.01 +9195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.09803887,-5.062359102,0,0.01 +9196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.43641649,-6.085960336,0,0.01 +9198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.02276792,-1.133975051,0,0.01 +9197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.43210177,-2.242933288,0,0.01 +9200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.57973756,-6.153210083,0,0.01 +9199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.38416095,-3.512386742,0,0.01 +9201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.23025342,-5.794559431,0,0.01 +9202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.39313729,-5.494980097,0,0.01 +9203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.80125656,-6.036354979,0,0.01 +9204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.950944887,-2.201878272,0,0.01 +9205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.24312513,-4.404702372,0,0.01 +9206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.10657505,-6.955020414,0,0.01 +9209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.02034924,-6.35128235,0,0.01 +9210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.14936281,-4.034507076,0,0.01 +9207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.47003837,-6.90439912,0,0.01 +9208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.55989418,-6.002355889,0,0.01 +9211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.95629649,-3.956158885,0,0.01 +9212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.2592541,-6.105842339,0,0.01 +9213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.73462812,-4.742834403,0,0.01 +9214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.53795555,-5.555569977,0,0.01 +9215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.4832708,-6.832983787,0,0.01 +9217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.74249495,-7.006238273,0,0.01 +9216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.12202182,-3.669953562,0,0.01 +9219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.62997477,-4.502113012,0,0.01 +9220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.01257512,-6.858859147,0,0.01 +9221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.12718098,-5.915849665,0,0.01 +9218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.39162129,-6.049222119,0,0.01 +9222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.8461453,-6.921673133,0,0.01 +9223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.41488745,-5.370861406,0,0.01 +9224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.60595368,-2.227589509,0,0.01 +9225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.24244128,-5.41638723,0,0.01 +9226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.21410344,-5.811378168,0,0.01 +9227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.54531043,-4.753757545,0,0.01 +9228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.18258851,-5.685699986,0,0.01 +9229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.53932319,-4.794630547,0,0.01 +9230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.65010685,-5.756279362,0,0.01 +9231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.13849411,-6.231538385,0,0.01 +9232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.5687262,-3.808553897,0,0.01 +9234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.22765472,-5.61448086,0,0.01 +9233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.01523251,-1.047309603,0,0.01 +9235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.61130518,-7.262084958,0,0.01 +9236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.43999259,-5.335759049,0,0.01 +9238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.61390046,-4.195539233,0,0.01 +9237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.8812616,-6.150269882,0,0.01 +9241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.49698385,-6.259244764,0,0.01 +9240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.996470289,-4.312812096,0,0.01 +9242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.19045555,-2.194408221,0,0.01 +9243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.33771033,-1.754148443,0,0.01 +9239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.47066908,-5.529236997,0,0.01 +9244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.51930427,0.033733172,0,0.01 +9245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.971017769,-1.955723109,0,0.01 +9247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.74704061,-1.780761321,0,0.01 +9249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.03041118,-4.137471634,0,0.01 +9246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.11930012,-6.209474844,0,0.01 +9248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.46412459,-3.470554139,0,0.01 +9251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.09350317,-4.216113785,0,0.01 +9250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.75600967,-8.222814281,0,0.01 +9252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.35447643,-4.972839257,0,0.01 +9254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.05391143,-2.237078905,0,0.01 +9253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.22116169,-3.867007751,0,0.01 +9256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.1036251,-3.80092808,0,0.01 +9255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.46978877,-6.506995067,0,0.01 +9257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.45609688,-6.262480753,0,0.01 +9258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.78606646,-5.620707392,0,0.01 +9259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.15381898,-3.419547988,0,0.01 +9260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.993176847,-2.994838586,0,0.01 +9261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.60898536,-2.102615676,0,0.01 +9262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.6822016,-8.144621509,0,0.01 +9264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.34221613,-4.788159566,0,0.01 +9265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.51265955,-3.698411774,0,0.01 +9267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.0320157,-4.363400754,0,0.01 +9266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.30498279,-3.675172479,0,0.01 +9263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.44547396,-4.875871606,0,0.01 +9268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.41787071,-5.786036441,0,0.01 +9269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.32655699,-4.144102983,0,0.01 +9270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.67024131,-2.329686389,0,0.01 +9271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.24385841,-3.558440278,0,0.01 +9272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.49012583,-5.413483654,0,0.01 +9273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.64774374,-3.701995653,0,0.01 +9274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.6257326,-3.856178542,0,0.01 +9275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.60792721,-3.907152644,0,0.01 +9276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.02365343,-3.38043046,0,0.01 +9277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.73000484,-4.954528326,0,0.01 +9278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.29853899,-4.390253136,0,0.01 +9279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.00749512,-4.576696426,0,0.01 +9282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.05612333,-6.711190746,0,0.01 +9280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.35366145,-2.209486965,0,0.01 +9281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.34987283,-5.763813852,0,0.01 +9284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.8288041,-4.886980288,0,0.01 +9283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.05030699,-4.679359663,0,0.01 +9285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.73597028,-8.169318901,0,0.01 +9287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.55570003,-6.793354896,0,0.01 +9286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.18665976,-2.052951751,0,0.01 +9289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.923084499,-5.889526429,0,0.01 +9290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.29775437,-3.158680941,0,0.01 +9288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.46112556,-4.73103985,0,0.01 +9291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.5529052,-1.240081171,0,0.01 +9293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.93415879,-2.937375603,0,0.01 +9292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.77863557,-7.723940249,0,0.01 +9294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.74242918,-5.078278187,0,0.01 +9295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.41261815,-4.728096713,0,0.01 +9296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.664751,-4.487437635,0,0.01 +9298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.993158232,-3.572786816,0,0.01 +9297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.305824,-4.374655391,0,0.01 +9299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.40597421,-4.7441569,0,0.01 +9300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.24776744,-4.6832201,0,0.01 +9302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.70981202,-4.609548296,0,0.01 +9304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.39133074,-6.403551047,0,0.01 +9303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.62375675,-2.825988583,0,0.01 +9301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.79957127,-5.751012998,0,0.01 +9305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.0657845,-3.917052534,0,0.01 +9306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.66991382,-2.481636933,0,0.01 +9307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.23035409,-5.269381946,0,0.01 +9308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.981141059,-3.643436612,0,0.01 +9310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.979865841,-3.024898303,0,0.01 +9311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.48369673,-4.488376629,0,0.01 +9309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.66878735,-4.032151125,0,0.01 +9313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.65152191,-3.717408436,0,0.01 +9312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.06574161,-4.646106091,0,0.01 +9315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.73188536,-5.303757559,0,0.01 +9314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.54018423,-6.252971716,0,0.01 +9316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.50699195,-4.796529977,0,0.01 +9318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.27030709,-4.979665521,0,0.01 +9317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.51323829,-5.255827704,0,0.01 +9320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.69559748,-3.693502565,0,0.01 +9322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.27659649,-4.30120992,0,0.01 +9319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.70916384,-3.844061879,0,0.01 +9323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.73442931,-5.84050671,0,0.01 +9324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.19702778,-1.485390605,0,0.01 +9321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.37389358,-4.52426094,0,0.01 +9326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.05683536,-2.499854039,0,0.01 +9325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.3578175,-5.654612348,0,0.01 +9327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.25930728,-4.895643459,0,0.01 +9328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.50333451,-3.618900425,0,0.01 +9330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.24285112,-4.001981304,0,0.01 +9329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.71781612,-2.905098283,0,0.01 +9331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.36811411,-8.16776891,0,0.01 +9332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.26915578,-7.928109463,0,0.01 +9334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.40063402,-3.668795825,0,0.01 +9335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.55194443,-1.938289101,0,0.01 +9333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.72091673,-3.444502258,0,0.01 +9336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.23228484,-3.597878294,0,0.01 +9337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.03850306,-5.525264028,0,0.01 +9338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.0608617,-4.978789287,0,0.01 +9339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.74863647,-0.962701765,0,0.01 +9342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.74217762,1.600206318,0,0.01 +9341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.02450014,-4.205121157,0,0.01 +9343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.49345265,-3.384983433,0,0.01 +9340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.22615616,-6.08846464,0,0.01 +9345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.25457632,-5.212358263,0,0.01 +9346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.67922669,-4.877037455,0,0.01 +9344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.3829283,-4.416402297,0,0.01 +9347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.979789331,-2.757978712,0,0.01 +9349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.49055397,-6.470857396,0,0.01 +9350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.58792763,-4.190643142,0,0.01 +9348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.41356809,-3.40378232,0,0.01 +9353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.22179413,-4.80140587,0,0.01 +9352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.68200747,-5.207272646,0,0.01 +9354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.42797428,-5.676967456,0,0.01 +9351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.38044368,-1.939431926,0,0.01 +9355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.34202157,-6.549131575,0,0.01 +9356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.6710286,-4.349056436,0,0.01 +9357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.2868525,-6.404851549,0,0.01 +9358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.29878561,-4.400907501,0,0.01 +9359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.00317859,-4.046130611,0,0.01 +9360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.944741323,-7.065886228,0,0.01 +9361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.01982198,-4.272754557,0,0.01 +9363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.995575453,-5.890746593,0,0.01 +9362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.20679209,-5.976984938,0,0.01 +9365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.1165413,-6.248512897,0,0.01 +9364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.50751026,-7.083856509,0,0.01 +9366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.45309592,-2.983620375,0,0.01 +9368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.34750159,-3.401988308,0,0.01 +9367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.3658709,-6.015536246,0,0.01 +9369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.13621535,-5.514055817,0,0.01 +9370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.982805227,-2.962313918,0,0.01 +9372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.38226522,-2.942969953,0,0.01 +9374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.38780108,-4.917329669,0,0.01 +9373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.31607889,-2.690100357,0,0.01 +9371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.35627747,-2.977527486,0,0.01 +9375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.06890964,-2.678550633,0,0.01 +9376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.44531517,-8.106435236,0,0.01 +9378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.8052043,-1.96279242,0,0.01 +9377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.59066864,-6.461007983,0,0.01 +9379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.58757775,-7.360063577,0,0.01 +9380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.58965167,-3.586161772,0,0.01 +9381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.12371754,-5.852513244,0,0.01 +9382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.5574654,-6.4251707,0,0.01 +9384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.04180078,-4.2979195,0,0.01 +9383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.74324188,-2.066987043,0,0.01 +9386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.69120778,-5.254906111,0,0.01 +9387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.25167765,-2.535148268,0,0.01 +9385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.02106375,-4.428500877,0,0.01 +9388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.33265069,-5.404150203,0,0.01 +9389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.29641779,-7.390542232,0,0.01 +9392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.15110332,-3.416182765,0,0.01 +9391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.41297604,-4.561177417,0,0.01 +9390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.32307928,-5.691405164,0,0.01 +9393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.76076213,-4.500177683,0,0.01 +9394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.02197219,-4.963872308,0,0.01 +9395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.12122107,-6.246157661,0,0.01 +9396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.47763238,-4.934072382,0,0.01 +9397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.57014266,-6.043247033,0,0.01 +9398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.51498063,-4.291307776,0,0.01 +9399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.76490639,-1.882838152,0,0.01 +9401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.6266192,-6.043152911,0,0.01 +9403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.58431881,-3.835822532,0,0.01 +9402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.65384205,-4.947367189,0,0.01 +9400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.42027666,-3.178388951,0,0.01 +9404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.23289535,-5.693533656,0,0.01 +9405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.41142532,-3.19559177,0,0.01 +9407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.42913979,-6.91577184,0,0.01 +9406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.26492285,-2.959279464,0,0.01 +9408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.20975595,-3.598564062,0,0.01 +9412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.31049442,0.484835784,0,0.01 +9410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.60737138,-4.200023076,0,0.01 +9413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.20163894,-5.320075362,0,0.01 +9411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.24283176,-2.574049609,0,0.01 +9409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.76367795,-3.511898847,0,0.01 +9414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.54413401,-3.627810514,0,0.01 +9415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.22349585,-4.739728342,0,0.01 +9416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.20050138,-4.539638093,0,0.01 +9418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.01892498,-6.114998391,0,0.01 +9417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.47187555,-5.431093443,0,0.01 +9421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.57802746,-6.379230648,0,0.01 +9419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.00953146,-4.180729033,0,0.01 +9422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.2631016,-4.535852741,0,0.01 +9420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.18576431,-1.673638764,0,0.01 +9424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.207478,-7.863584043,0,0.01 +9423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.51197882,-3.546154494,0,0.01 +9425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.78773992,-8.043273428,0,0.01 +9428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.54436259,-3.761577613,0,0.01 +9426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.36910177,-4.466287887,0,0.01 +9427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.28977305,-4.149645389,0,0.01 +9429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.73313969,-4.012289513,0,0.01 +9432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.71606562,-5.833459165,0,0.01 +9433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.6771423,-2.696623115,0,0.01 +9430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.39418047,-6.304280916,0,0.01 +9431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.32375891,-3.88764572,0,0.01 +9436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.25978571,-4.560601655,0,0.01 +9434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.04030902,-4.938532379,0,0.01 +9437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.08910049,-7.324306544,0,0.01 +9435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.81214242,-2.072459685,0,0.01 +9438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.25651823,-6.285876957,0,0.01 +9441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.23773952,0.777843879,0,0.01 +9439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.5702949,-5.765906413,0,0.01 +9440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.25407307,-4.945303487,0,0.01 +9443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.25144758,-6.936832259,0,0.01 +9444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.06189043,-5.271999636,0,0.01 +9442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.51867581,-7.644828952,0,0.01 +9445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.37841443,-6.079595853,0,0.01 +9448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.27175506,-4.564665264,0,0.01 +9447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.5028588,-3.581492543,0,0.01 +9446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.14210164,-3.21351861,0,0.01 +9449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.19274404,-6.027291486,0,0.01 +9450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.10310742,-5.651841885,0,0.01 +9452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.32730986,-6.094870005,0,0.01 +9451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.76234177,-5.546039402,0,0.01 +9453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.33701939,-5.026567822,0,0.01 +9454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.74727409,-4.448562705,0,0.01 +9455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.010854,-4.585908791,0,0.01 +9458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.24164754,-6.802802342,0,0.01 +9460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.74461549,-2.335308981,0,0.01 +9456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.60588395,-8.593195727,0,0.01 +9459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.54797282,-4.709268902,0,0.01 +9461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.033202,-6.135281719,0,0.01 +9462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.11249914,-5.267245144,0,0.01 +9463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.948010516,-2.299795541,0,0.01 +9457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.79059937,-7.060040745,0,0.01 +9464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.30254011,-4.012167969,0,0.01 +9465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.5263776,-4.426573591,0,0.01 +9467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.974490789,-3.449781078,0,0.01 +9466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.22993177,-5.149717218,0,0.01 +9468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.45855494,-1.984007261,0,0.01 +9469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.928007269,-4.859982762,0,0.01 +9470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.04137385,-5.954310026,0,0.01 +9472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.32352116,-5.382874968,0,0.01 +9473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.72935802,-4.446007577,0,0.01 +9471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.50804188,-3.290531986,0,0.01 +9475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.04579758,-3.531708968,0,0.01 +9474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.13877074,-0.904884171,0,0.01 +9477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.07642889,-6.231531091,0,0.01 +9476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.55852674,-6.314672909,0,0.01 +9478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.39566823,-6.386223,0,0.01 +9479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.55350713,-3.469365111,0,0.01 +9482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.25031221,-5.079741896,0,0.01 +9480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.47306247,-4.848592162,0,0.01 +9483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.0317668,-6.958304458,0,0.01 +9481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.40991913,-4.097305837,0,0.01 +9484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.15051497,-3.73082565,0,0.01 +9485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.11512045,-4.753571602,0,0.01 +9487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.00446468,-6.510938869,0,0.01 +9488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.2898182,-4.215070175,0,0.01 +9489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.70190281,-2.735690289,0,0.01 +9490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.61865689,-3.331920227,0,0.01 +9486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.31619923,-2.436972792,0,0.01 +9491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.1264502,-1.930583067,0,0.01 +9492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.43094738,-5.398559846,0,0.01 +9493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.17870485,-6.886497083,0,0.01 +9494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.58097682,-5.793462923,0,0.01 +9496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.71860059,-4.576119677,0,0.01 +9498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.66006785,-5.454044809,0,0.01 +9495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.76517782,-5.682945308,0,0.01 +9497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.19783675,-6.066275754,0,0.01 +9499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.71415265,-5.135453998,0,0.01 +9500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.0989423,-4.24118411,0,0.01 +9501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.36864187,-3.217457592,0,0.01 +9502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.00542615,-6.937577437,0,0.01 +9503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.34762668,-2.684321961,0,0.01 +9505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.19092252,-2.960493481,0,0.01 +9504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.72661559,-4.090956924,0,0.01 +9506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.09157738,-2.775821692,0,0.01 +9507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.80440151,-3.636288314,0,0.01 +9508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.05359589,-4.891968562,0,0.01 +9509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.05487982,-5.031486854,0,0.01 +9510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.23421416,-4.02430946,0,0.01 +9511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.56253168,-4.701252789,0,0.01 +9513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.46774339,-7.01285979,0,0.01 +9512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.62583436,-5.674496576,0,0.01 +9514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.46250796,-2.996909671,0,0.01 +9515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.22034226,-5.98837792,0,0.01 +9516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.990342432,-4.72298925,0,0.01 +9517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.43028803,-3.690682022,0,0.01 +9518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.39877265,-3.734737075,0,0.01 +9521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.45103023,-7.116687191,0,0.01 +9520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.26563988,-0.679257926,0,0.01 +9522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.45526375,-6.136373624,0,0.01 +9524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.62740088,-4.085659953,0,0.01 +9519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.68877659,1.762148977,0,0.01 +9523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.60234734,-4.482606554,0,0.01 +9525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.32081404,-6.502461023,0,0.01 +9526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.2462535,-5.618149835,0,0.01 +9528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.20596513,-4.233429633,0,0.01 +9527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.51035807,-2.096933484,0,0.01 +9529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.38997835,-6.497499899,0,0.01 +9530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.63013478,-6.371771158,0,0.01 +9531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.12092456,-7.255733944,0,0.01 +9532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.28649055,-2.663881265,0,0.01 +9533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.43035654,-4.8168525,0,0.01 +9534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.32915264,-1.223400078,0,0.01 +9536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.41912386,-5.752300419,0,0.01 +9535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.33636153,-5.912932167,0,0.01 +9537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.25431989,-1.958773241,0,0.01 +9538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.07788263,-1.474219398,0,0.01 +9540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.01500122,-5.77727814,0,0.01 +9541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.55678739,-2.199730221,0,0.01 +9542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.30265823,-2.47379098,0,0.01 +9539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.71870278,-6.178964314,0,0.01 +9543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.75384386,-2.863663914,0,0.01 +9544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.73753199,-4.132077669,0,0.01 +9546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.08830592,-2.973885728,0,0.01 +9547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.40127242,-4.178729707,0,0.01 +9548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.42866847,-4.82742394,0,0.01 +9545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.3351904,-2.296678035,0,0.01 +9549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.85571056,-5.29679666,0,0.01 +9550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.951645138,-1.43369738,0,0.01 +9551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.69152292,-1.901814868,0,0.01 +9552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.64108034,-4.798234251,0,0.01 +9553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.38900397,-4.832653571,0,0.01 +9554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.79515383,-3.861248933,0,0.01 +9556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.14160383,-3.693037,0,0.01 +9555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.06602917,-7.193055063,0,0.01 +9557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.20715161,-5.686277992,0,0.01 +9559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.71154452,-1.760175099,0,0.01 +9558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.47509399,-4.95495024,0,0.01 +9562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.19403354,-3.411670373,0,0.01 +9564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.13649364,-4.610169917,0,0.01 +9563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.21023187,-3.238484363,0,0.01 +9560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.24782129,-6.611343967,0,0.01 +9561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.29567487,-6.335922457,0,0.01 +9565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.80218831,-5.215866585,0,0.01 +9567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.0713072,-4.122666297,0,0.01 +9566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.36442256,-3.44221793,0,0.01 +9568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.60724437,-4.26360691,0,0.01 +9569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.36259583,-6.171449424,0,0.01 +9571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.49607215,-4.183321033,0,0.01 +9572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.33485606,-6.837745089,0,0.01 +9570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.04234983,-4.356722674,0,0.01 +9573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.3570579,-4.270531421,0,0.01 +9575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.78623267,-4.98394354,0,0.01 +9577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.07365843,-4.152820036,0,0.01 +9576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.4151614,-6.37610801,0,0.01 +9579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.57844973,-6.830422859,0,0.01 +9578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.42957108,-4.119320746,0,0.01 +9580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.43057918,-5.076483016,0,0.01 +9574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.30524473,-2.939880543,0,0.01 +9581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.2366028,-5.825400112,0,0.01 +9582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.49939057,-3.484490958,0,0.01 +9584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.27572315,-5.185462012,0,0.01 +9583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.78685062,-4.283563778,0,0.01 +9586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.27465304,-1.083790825,0,0.01 +9587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.62748262,-1.875250216,0,0.01 +9585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.03490904,-5.351779643,0,0.01 +9589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.8014595,-3.952117987,0,0.01 +9588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.70552231,-4.525674301,0,0.01 +9590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.51867957,-4.586067411,0,0.01 +9591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.32327639,-8.067882726,0,0.01 +9592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.78922759,-4.748547656,0,0.01 +9595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.31297611,-5.977415273,0,0.01 +9594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.06161931,-5.447970796,0,0.01 +9593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.15498961,-3.244358285,0,0.01 +9596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.75870159,-4.325698802,0,0.01 +9597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.72119174,-3.289660042,0,0.01 +9598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.18991609,-1.174710596,0,0.01 +9599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.16496493,-3.024935636,0,0.01 +9600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.55264196,-7.169753313,0,0.01 +9601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.40299379,-6.382272081,0,0.01 +9603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.5774106,-3.874196255,0,0.01 +9604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.04000334,-4.33417586,0,0.01 +9602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.51171115,-3.740826169,0,0.01 +9605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.68275561,-1.84899141,0,0.01 +9606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.987316078,-1.130689357,0,0.01 +9607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.28311069,-3.612696724,0,0.01 +9608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.31469928,-5.654788127,0,0.01 +9609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.48805637,-3.351063039,0,0.01 +9610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.41606222,-4.965031894,0,0.01 +9611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.50859976,-4.767255449,0,0.01 +9612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.16270308,-2.862173131,0,0.01 +9613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.46317437,-4.877237313,0,0.01 +9614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.38562571,-4.286336213,0,0.01 +9615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.5927507,-5.647813531,0,0.01 +9617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.35808105,-5.029183051,0,0.01 +9619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.08944836,-3.207591264,0,0.01 +9618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.55314577,-1.996845827,0,0.01 +9620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.943544471,-1.532252147,0,0.01 +9616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.26249964,-4.535906965,0,0.01 +9621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.48408092,-4.923721882,0,0.01 +9622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.13548342,-4.655811639,0,0.01 +9623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.50638483,-4.293497572,0,0.01 +9624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.08203995,-3.806120022,0,0.01 +9626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.66109922,-5.813066187,0,0.01 +9625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.967099071,-5.325092677,0,0.01 +9627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.13946163,-3.831449694,0,0.01 +9628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.3239831,-3.993543671,0,0.01 +9629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.55139868,-4.901144085,0,0.01 +9630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.965947042,-3.441390462,0,0.01 +9631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.13656602,-6.789085889,0,0.01 +9633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.16203858,-6.865842764,0,0.01 +9632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.04570936,-1.469439658,0,0.01 +9634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.64069351,-3.360761386,0,0.01 +9635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.49267073,-2.234414411,0,0.01 +9637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.51240921,-7.00248335,0,0.01 +9638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.1426619,-6.685613814,0,0.01 +9639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.66781222,-4.680427968,0,0.01 +9640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.78291619,-4.521744025,0,0.01 +9641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.33861674,-5.134995807,0,0.01 +9636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.19640935,0.838441005,0,0.01 +9642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.32069301,-3.117921489,0,0.01 +9643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.30646893,-4.022666676,0,0.01 +9644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.61233055,-4.113845378,0,0.01 +9645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.2113791,-3.872360049,0,0.01 +9646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.27572358,-4.837846362,0,0.01 +9647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.980387838,-3.233290866,0,0.01 +9648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.70778078,-1.06456547,0,0.01 +9649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.5585318,-7.031269677,0,0.01 +9651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.0649814,-5.574800694,0,0.01 +9650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.33180601,-7.310387589,0,0.01 +9652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.22657559,-4.665569526,0,0.01 +9654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.23155623,-5.045939307,0,0.01 +9653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.71658058,-4.058890516,0,0.01 +9656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.82219706,-5.42853502,0,0.01 +9655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.42359923,-0.233293456,0,0.01 +9658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.07757368,-5.652293637,0,0.01 +9659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.3810484,-4.06794767,0,0.01 +9657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.10066513,-5.195014545,0,0.01 +9660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.899903059,-3.471375121,0,0.01 +9662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.52395481,-4.975642009,0,0.01 +9661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.11193948,-3.798743445,0,0.01 +9663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.44246108,-7.431275059,0,0.01 +9664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.75469918,-6.037340531,0,0.01 +9665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.45962062,-2.781338901,0,0.01 +9666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.03516994,-5.720754267,0,0.01 +9668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.26673432,-3.23113017,0,0.01 +9667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.35946325,-3.711287541,0,0.01 +9669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.60961254,-3.434674049,0,0.01 +9670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.16250718,-7.365554726,0,0.01 +9671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.81914689,-2.619218928,0,0.01 +9672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.27026165,-4.184502503,0,0.01 +9673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.5131096,-5.778821755,0,0.01 +9674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.21290096,-5.23761987,0,0.01 +9677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.73669716,-4.181741789,0,0.01 +9678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.77220475,-5.42750192,0,0.01 +9675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.73567756,-4.695056006,0,0.01 +9679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.19913734,-4.046592206,0,0.01 +9680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.3824747,-2.459207596,0,0.01 +9681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.24174762,-5.35529376,0,0.01 +9676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.65949368,-6.532496353,0,0.01 +9682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.13664462,-5.088052616,0,0.01 +9684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.909369224,-5.72516126,0,0.01 +9685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.104631,-4.515569113,0,0.01 +9683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.67554555,-4.612846057,0,0.01 +9688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.63620522,-5.404531362,0,0.01 +9686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.12723581,-3.982612017,0,0.01 +9687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.53503077,-5.810621593,0,0.01 +9689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.06601708,-6.238174643,0,0.01 +9690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.16358291,-6.756056593,0,0.01 +9693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.14883435,-4.549419369,0,0.01 +9692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.00094454,-2.552636517,0,0.01 +9691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.974662589,-2.881170314,0,0.01 +9694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.68640464,-6.876369422,0,0.01 +9695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.37619835,-4.899162386,0,0.01 +9696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.930523554,-5.515383239,0,0.01 +9698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.45087601,-5.320609067,0,0.01 +9697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.09529724,-6.164578368,0,0.01 +9700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.39469562,-2.783656492,0,0.01 +9701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.54221345,-5.167177881,0,0.01 +9699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.23093499,-3.667290266,0,0.01 +9702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.74921474,-4.209952737,0,0.01 +9703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.49465029,-0.726085461,0,0.01 +9704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.69253453,-3.788625104,0,0.01 +9705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.35616667,-7.296761402,0,0.01 +9706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.10979414,-4.591995538,0,0.01 +9708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.59745274,-4.372749962,0,0.01 +9707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.64849359,-5.416126398,0,0.01 +9709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.23169947,-6.542002154,0,0.01 +9710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.77585781,-4.221020728,0,0.01 +9712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.58395298,-6.198265477,0,0.01 +9711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.51760155,-7.601028826,0,0.01 +9713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.75297729,-6.077422207,0,0.01 +9715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.25296173,-5.894000975,0,0.01 +9716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.48885477,-3.914698003,0,0.01 +9714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.72973521,-3.951778955,0,0.01 +9717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.68109552,-5.155460167,0,0.01 +9718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.73210339,-4.941768421,0,0.01 +9719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.37770482,-6.556812138,0,0.01 +9720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.998489103,-5.509858964,0,0.01 +9721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.21765889,-1.363724044,0,0.01 +9722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.52183309,-5.047293336,0,0.01 +9723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.58309948,-1.96987628,0,0.01 +9725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.1034502,-5.509392208,0,0.01 +9724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.48394529,-4.435635975,0,0.01 +9726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.11680997,-4.665745382,0,0.01 +9728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.26285218,-4.569715819,0,0.01 +9727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.10672685,-4.187843011,0,0.01 +9729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.5382041,-0.861736189,0,0.01 +9730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.71660886,-4.704564322,0,0.01 +9732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.62991214,-6.493535877,0,0.01 +9731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.46604834,-2.16533004,0,0.01 +9733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.51046833,-6.407633089,0,0.01 +9734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.02163889,-4.724225265,0,0.01 +9736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.19011956,-3.169607742,0,0.01 +9735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.943666734,-3.978522153,0,0.01 +9737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.6531447,-3.839211686,0,0.01 +9738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.69191662,-3.106181886,0,0.01 +9740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.34400805,0.833929971,0,0.01 +9739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.68158459,-6.021001719,0,0.01 +9743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.33287063,-3.549047318,0,0.01 +9742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.68509037,-5.126214047,0,0.01 +9741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.66245694,-4.416634435,0,0.01 +9744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.35751337,-2.651176359,0,0.01 +9745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.41303124,-5.427227479,0,0.01 +9746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.3669685,-4.682608901,0,0.01 +9748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.57053686,-4.529009973,0,0.01 +9747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.30086174,-2.659378849,0,0.01 +9750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.93218521,-2.135618775,0,0.01 +9749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.6793247,-4.412338362,0,0.01 +9752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.33334685,-6.363188553,0,0.01 +9751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.73825204,-3.005361826,0,0.01 +9753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.53407231,-5.518479497,0,0.01 +9754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.44961861,-6.011365889,0,0.01 +9755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.82219729,-3.856942963,0,0.01 +9756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.6747828,-6.477586606,0,0.01 +9757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.4861,-2.441252511,0,0.01 +9758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.09440083,-4.434645614,0,0.01 +9759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.25458898,-4.149998375,0,0.01 +9760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.966349769,-6.018060482,0,0.01 +9761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.1549822,-4.727249924,0,0.01 +9763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.46701852,-5.910476391,0,0.01 +9762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.01323365,-3.832509036,0,0.01 +9764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.64494428,-2.508872319,0,0.01 +9765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.34907099,-4.787958379,0,0.01 +9766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.76603399,-5.328919863,0,0.01 +9767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.45627407,-6.801524671,0,0.01 +9768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.12740553,-5.921620789,0,0.01 +9769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.38180083,-5.317178639,0,0.01 +9771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.10835058,-4.525639493,0,0.01 +9770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.976299901,-4.306110898,0,0.01 +9772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.52651295,-3.00400239,0,0.01 +9773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.30664924,-8.475656836,0,0.01 +9774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.44828197,-5.029688529,0,0.01 +9775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.6166619,-3.582303153,0,0.01 +9777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.25715909,-2.210276003,0,0.01 +9779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.02944606,-5.782694944,0,0.01 +9778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.76632208,-3.319303695,0,0.01 +9780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.46252033,-2.887540065,0,0.01 +9776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.32742346,-5.909661619,0,0.01 +9781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.3015997,-1.581610989,0,0.01 +9782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.01399502,-3.526211773,0,0.01 +9783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.45351078,-3.083879256,0,0.01 +9784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.78312625,-7.475521297,0,0.01 +9785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.57460223,-5.064059641,0,0.01 +9786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.68458166,-2.166683714,0,0.01 +9787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.2262187,-4.01642193,0,0.01 +9789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.52133597,-4.064169804,0,0.01 +9788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.54996466,-3.197271601,0,0.01 +9790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.33171434,-3.37987568,0,0.01 +9791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.08362451,-2.894181098,0,0.01 +9792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.0986116,-3.509590401,0,0.01 +9794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.29101495,-3.688248398,0,0.01 +9795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.03815867,-4.237701739,0,0.01 +9793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.00248042,-2.229938698,0,0.01 +9796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.31223593,-2.679413984,0,0.01 +9798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.46033387,-5.421841014,0,0.01 +9799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.47236833,-4.170589765,0,0.01 +9797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.969669129,-4.882741919,0,0.01 +9800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.25052212,-2.767089023,0,0.01 +9802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.64438916,-3.999367822,0,0.01 +9803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.07975255,-0.813106845,0,0.01 +9801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.55490742,-4.889791992,0,0.01 +9804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.01409532,-6.662040396,0,0.01 +9805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.67238148,-5.985164335,0,0.01 +9807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.2572299,-5.83730584,0,0.01 +9806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.5120067,-5.882723234,0,0.01 +9808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.2877177,-3.833895803,0,0.01 +9809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.01343776,-1.576999331,0,0.01 +9810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.57986162,-5.565863137,0,0.01 +9811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.58824819,-6.288369274,0,0.01 +9812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.55812776,-5.292526016,0,0.01 +9813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.54452808,-6.954723536,0,0.01 +9815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.47219847,-5.453267812,0,0.01 +9816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.10667062,-3.985830032,0,0.01 +9818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.1835338,-5.866370668,0,0.01 +9814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.26995232,-4.134575352,0,0.01 +9817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.69444863,-7.682439034,0,0.01 +9819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.30142169,-7.410209513,0,0.01 +9821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.49804908,-5.965379735,0,0.01 +9820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.16145534,-1.588281237,0,0.01 +9822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.06755107,-4.381817976,0,0.01 +9823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.27608678,-4.965038712,0,0.01 +9824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.59280013,-6.584694947,0,0.01 +9826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.18433266,-4.168560233,0,0.01 +9825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.64261948,-6.60536335,0,0.01 +9827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.50361712,-5.438306987,0,0.01 +9828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.33053732,-5.950248881,0,0.01 +9829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.46979034,-2.598859041,0,0.01 +9831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.34471841,-5.145964171,0,0.01 +9830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.68776714,-4.225544123,0,0.01 +9832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.23463687,-4.911098194,0,0.01 +9834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.54669394,-5.585834034,0,0.01 +9833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.23008945,-7.381019044,0,0.01 +9835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.979996691,-1.999040233,0,0.01 +9836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.899564233,-5.488520833,0,0.01 +9837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.42559705,-3.016317812,0,0.01 +9839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.66160325,-4.337108312,0,0.01 +9838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.81183388,-3.758551224,0,0.01 +9840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.55635661,-1.009181205,0,0.01 +9842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.23792998,-3.760573582,0,0.01 +9843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.29773476,-2.351266301,0,0.01 +9841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.30364549,-5.361486429,0,0.01 +9845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.30995702,-5.995609169,0,0.01 +9844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.70233153,-2.728603218,0,0.01 +9847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.292185,-4.129174393,0,0.01 +9846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.03489233,-4.507662781,0,0.01 +9848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.1528284,-5.452656655,0,0.01 +9849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.95500058,-4.963210391,0,0.01 +9850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.30745703,-7.595835351,0,0.01 +9853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.29606932,-2.768878914,0,0.01 +9852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.59775262,-4.248164614,0,0.01 +9855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.49164615,-7.047909499,0,0.01 +9851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.12954235,-3.942317805,0,0.01 +9854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.44384956,-6.374699665,0,0.01 +9856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.32571861,-5.150199746,0,0.01 +9857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.35272953,-1.565386663,0,0.01 +9858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.993455492,-6.675676687,0,0.01 +9860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.979677199,-6.874096666,0,0.01 +9859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.40865536,-4.797375677,0,0.01 +9861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.24252917,-4.417844713,0,0.01 +9863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.14066862,-4.962188631,0,0.01 +9862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.30686134,-5.952961674,0,0.01 +9865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.991208181,-5.756783143,0,0.01 +9864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.63250864,-4.88335156,0,0.01 +9866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.72531854,-4.90954299,0,0.01 +9868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.28215756,-2.464923609,0,0.01 +9867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.843218834,-4.994837289,0,0.01 +9870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.50468605,-7.396582878,0,0.01 +9869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.76880559,-4.054634642,0,0.01 +9871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.71372538,-1.27998011,0,0.01 +9872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.39837798,-3.221524586,0,0.01 +9873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.13153634,-6.215120126,0,0.01 +9875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.70038971,-6.101345856,0,0.01 +9874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.965885923,-5.257578592,0,0.01 +9876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.68444675,-6.931259823,0,0.01 +9877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.53627128,-2.514300498,0,0.01 +9878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.44592208,-6.41286178,0,0.01 +9880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.67604063,-5.418167651,0,0.01 +9879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.34995476,-3.998946908,0,0.01 +9881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.10963513,-3.979465211,0,0.01 +9882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.82082842,-4.629273798,0,0.01 +9883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.46197655,-4.872795332,0,0.01 +9885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.72231499,-3.412484254,0,0.01 +9886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.63555601,-4.319900506,0,0.01 +9884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.53672513,-5.433585511,0,0.01 +9887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.35058715,-6.6777249,0,0.01 +9888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.14889983,-7.909737771,0,0.01 +9890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.02743058,-6.63647371,0,0.01 +9889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.7105195,-3.131942943,0,0.01 +9891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.989944983,-5.452394097,0,0.01 +9892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.12854387,-2.576279827,0,0.01 +9893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.13001121,-6.779002976,0,0.01 +9894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.26255192,-4.123663636,0,0.01 +9895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.27039007,-7.435809887,0,0.01 +9896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.78557993,-5.360361536,0,0.01 +9898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.968242411,-2.440435902,0,0.01 +9899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.29083072,-5.241128802,0,0.01 +9900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.70081901,-5.984198121,0,0.01 +9897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.04975914,-3.162005987,0,0.01 +9901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.60935305,-6.225325644,0,0.01 +9902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.52464871,-5.305142741,0,0.01 +9903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.71528551,-6.34347992,0,0.01 +9905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.32942698,-7.445300009,0,0.01 +9906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.12777262,-4.564541428,0,0.01 +9908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.01188973,-3.95553619,0,0.01 +9907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.75149756,-7.589916332,0,0.01 +9904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.951567314,-4.542115854,0,0.01 +9909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.40389822,-5.122766053,0,0.01 +9910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.67007772,-3.644048232,0,0.01 +9911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.19899412,-5.764869115,0,0.01 +9913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.49309127,-6.19777193,0,0.01 +9915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.71943294,-3.541093123,0,0.01 +9914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.35677539,-3.86661619,0,0.01 +9912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.75336928,-6.255021884,0,0.01 +9916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.04008242,-4.50400824,0,0.01 +9917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.24897961,-5.624227561,0,0.01 +9918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.5435385,-5.351976058,0,0.01 +9919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.8028127,-4.680693848,0,0.01 +9921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.988275101,-4.443044419,0,0.01 +9920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.75597377,-2.893965651,0,0.01 +9922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.52415994,-2.343314383,0,0.01 +9923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.68063802,-2.47232707,0,0.01 +9925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.40337042,-5.693871473,0,0.01 +9926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.73939933,-2.067856872,0,0.01 +9927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.09718442,-3.417589971,0,0.01 +9924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.57679976,-3.187527659,0,0.01 +9928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.65833184,-5.661279111,0,0.01 +9929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.26388385,-5.341643403,0,0.01 +9930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.50064654,-7.137125292,0,0.01 +9931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.23392076,-5.099066502,0,0.01 +9932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.09520584,-7.001401952,0,0.01 +9934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.13576067,-4.057396964,0,0.01 +9933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.65055493,-7.892737404,0,0.01 +9936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.20056952,-6.417930886,0,0.01 +9935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.49632866,-6.60535137,0,0.01 +9938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.54457223,-4.140304137,0,0.01 +9937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.992069166,-4.695257459,0,0.01 +9939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.11887185,-4.151987364,0,0.01 +9940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.39850066,-6.587851933,0,0.01 +9941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.86111311,-6.232921556,0,0.01 +9942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.44215529,-5.26364434,0,0.01 +9945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.76813175,-7.42392575,0,0.01 +9943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.64393628,-3.062380857,0,0.01 +9946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.43561824,-3.942626986,0,0.01 +9947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.05529925,-4.344104192,0,0.01 +9944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.15056144,-5.883540238,0,0.01 +9948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.03550895,-3.622442765,0,0.01 +9950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.22381751,-4.117886988,0,0.01 +9949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.61050277,-2.767208128,0,0.01 +9951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.53093319,-4.02724496,0,0.01 +9952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.74711622,-8.373996576,0,0.01 +9953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.48546275,-4.916489949,0,0.01 +9954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.25960455,-4.401222398,0,0.01 +9955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.04862709,-5.077855686,0,0.01 +9957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.16607068,-5.398822141,0,0.01 +9956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.56980378,-3.454742746,0,0.01 +9959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.58751399,-6.40948941,0,0.01 +9960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.8237724,-5.653601466,0,0.01 +9961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.29770829,-4.304175188,0,0.01 +9958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.03235457,-7.33948264,0,0.01 +9962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.88645905,-3.66353088,0,0.01 +9963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.977185805,-4.710581584,0,0.01 +9964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.64716742,-6.427197648,0,0.01 +9965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.4092063,-4.944683411,0,0.01 +9967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.55613447,-6.29602702,0,0.01 +9966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.36006216,-4.949363802,0,0.01 +9968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.68923621,-5.400602148,0,0.01 +9969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.77429435,-5.108305322,0,0.01 +9970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.80092969,-6.837105739,0,0.01 +9972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.12873363,-1.288970664,0,0.01 +9971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.32433319,-3.115561518,0,0.01 +9974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.15489079,-5.985290197,0,0.01 +9973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.90868638,-5.27489278,0,0.01 +9975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.38219296,-2.738910135,0,0.01 +9976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.51052061,-5.502661652,0,0.01 +9977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.12852499,-3.931146271,0,0.01 +9978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.30450033,-6.801059358,0,0.01 +9981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.19064045,-4.353101618,0,0.01 +9982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.26027023,-2.117771333,0,0.01 +9983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.73931198,-5.836704001,0,0.01 +9984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.16751621,-5.148305913,0,0.01 +9979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.52807781,-3.377197344,0,0.01 +9980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.66764269,-3.799773515,0,0.01 +9985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.64241914,-9.628457839,0,0.01 +9986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.26163555,-5.394470202,0,0.01 +9987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.38734429,-4.20654164,0,0.01 +9990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.30638879,-2.908092019,0,0.01 +9989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.18553197,-4.621787327,0,0.01 +9988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.36348504,-4.994317535,0,0.01 +9991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.4732739,-6.38071497,0,0.01 +9992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.45165883,-0.325609618,0,0.01 +9994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.19708084,-4.024869696,0,0.01 +9993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.30519326,-6.420465592,0,0.01 +9995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.49200271,-2.478161485,0,0.01 +9996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.95127587,-3.648954519,0,0.01 +9997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-9.981005545,-1.920321211,0,0.01 +9998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.22325149,-5.96573499,0,0.01 +9999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.40964622,-4.563812364,0,0.01 +10000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.45,10,1,-10.31290981,-7.482334014,0,0.01 +10001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.29102979,-6.28883008,0,0 +10002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.31637052,-5.739426727,0,0 +10003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.76235816,-7.667525146,0,0 +10005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.28915384,-7.126089312,0,0 +10004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.21368156,-4.811333722,0,0 +10006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.49110758,-6.982209799,0,0 +10007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.53118522,-6.136417272,0,0 +10009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.899230469,-5.423877205,0,0 +10008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.44224906,-5.797317721,0,0 +10010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.61673263,-6.368677293,0,0 +10011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.0307858,-6.907076303,0,0 +10012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.26705455,-4.269133302,0,0 +10013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.38906793,-4.286614823,0,0 +10015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.24962134,-6.909758929,0,0 +10014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.8670111,-7.080328736,0,0 +10016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.40966761,-4.642986004,0,0 +10017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.70355108,-5.21472359,0,0 +10018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.05266961,-7.491387873,0,0 +10020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.11933967,-6.338115222,0,0 +10021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.18976148,-6.27762438,0,0 +10019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.74017903,-7.225262282,0,0 +10022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.17336754,-5.736543133,0,0 +10023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.70003248,-6.579119519,0,0 +10024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.15348562,-5.416945557,0,0 +10026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.39703401,-5.662528396,0,0 +10025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.7065397,-4.676274835,0,0 +10028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.28912157,-4.928426525,0,0 +10027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.30770634,-6.631643257,0,0 +10030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.43197583,-4.960259655,0,0 +10029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.54615097,-6.944812072,0,0 +10032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.41129027,-5.151391221,0,0 +10033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.57793331,-6.799411607,0,0 +10031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.48730702,-5.086893473,0,0 +10035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.53638294,-3.656688441,0,0 +10034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.29255463,-7.06787855,0,0 +10036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.5008919,-6.888740095,0,0 +10037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.75012822,-4.942374995,0,0 +10039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.65706498,-2.987353689,0,0 +10040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.10434052,-8.32759444,0,0 +10041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.54935176,-7.711775792,0,0 +10038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.51323828,-6.614687554,0,0 +10044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.34263326,-8.132373081,0,0 +10043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.04808649,-5.182498406,0,0 +10042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.00822049,-4.755253811,0,0 +10045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.21776689,-4.522665806,0,0 +10047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.22677328,-4.675033428,0,0 +10048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.27349274,-5.826084749,0,0 +10046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.35872496,-5.594610049,0,0 +10050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.73747295,-9.295887499,0,0 +10049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.37963853,-5.162470972,0,0 +10051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.65957202,-4.010320329,0,0 +10052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.51435797,-5.158692218,0,0 +10053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.04243894,-4.496988301,0,0 +10054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.37958689,-5.333971152,0,0 +10056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.63200215,-7.468125165,0,0 +10055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.12954347,-3.136691722,0,0 +10057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.57242869,-4.049221217,0,0 +10059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.13263438,-6.388598059,0,0 +10060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.45889256,-7.360321875,0,0 +10058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.41858311,-5.243008184,0,0 +10061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.2479244,-5.924381715,0,0 +10062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.60369992,-2.171393632,0,0 +10064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.31939666,-5.549520115,0,0 +10065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.14132242,-6.615535508,0,0 +10067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.15081135,-5.200692418,0,0 +10066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.40665183,-5.106624674,0,0 +10063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.43769746,-7.297665739,0,0 +10068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.80504911,-8.489975896,0,0 +10069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.987429948,-7.063146655,0,0 +10070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.58366663,-5.191367916,0,0 +10071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.70354051,-5.472717322,0,0 +10072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.19885004,-7.54867472,0,0 +10073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.60576712,-7.125757891,0,0 +10074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.12975354,-5.462682134,0,0 +10075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.44822276,-5.01702517,0,0 +10077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.7172888,-5.404715854,0,0 +10076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.44470499,-5.770742706,0,0 +10079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.22609128,-6.301842809,0,0 +10080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.46104066,-5.514919216,0,0 +10078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.84052977,-5.794437217,0,0 +10081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.04016174,-3.524641281,0,0 +10083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.74546515,-2.532730032,0,0 +10082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.91158833,-6.240646839,0,0 +10085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.42459048,-7.611128361,0,0 +10084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.09685202,-3.880362951,0,0 +10086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.66192048,-4.81478502,0,0 +10087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.73872206,-5.757394279,0,0 +10088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.45106363,-5.73570986,0,0 +10089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.05658843,-6.034636324,0,0 +10090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.52504774,-4.487198562,0,0 +10091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.64388481,-7.433783279,0,0 +10092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.26322897,-3.71077265,0,0 +10093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.21278974,-3.886997636,0,0 +10094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.29516794,-4.717589491,0,0 +10095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.01978627,-5.915347189,0,0 +10096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.02272617,-4.03847037,0,0 +10097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.35671061,-6.600147267,0,0 +10098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.23853142,-5.132383136,0,0 +10099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.5626684,-7.316415151,0,0 +10101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.33176451,-5.690903673,0,0 +10100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.66300125,-5.867555445,0,0 +10102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.63323144,-7.451648623,0,0 +10103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.39067027,-5.550753011,0,0 +10105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.74150655,-4.924543762,0,0 +10106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.21798834,-3.023391685,0,0 +10107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.43477847,-2.201718223,0,0 +10104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.57298776,-6.986105775,0,0 +10108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.72937213,-4.926779335,0,0 +10109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.19756377,-4.60998077,0,0 +10110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.06451008,-7.557744929,0,0 +10111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.57985847,-5.602795251,0,0 +10112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.39069461,-6.915982801,0,0 +10113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.34240947,-3.112072908,0,0 +10114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.20219971,-7.637009467,0,0 +10115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.59281462,-3.709382519,0,0 +10116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.05176204,-7.013260224,0,0 +10117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.32356052,-7.932989689,0,0 +10118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.7265006,-5.228996058,0,0 +10119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.61226064,-4.912411822,0,0 +10120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.24658979,-6.531134733,0,0 +10121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.0314505,-6.299593851,0,0 +10122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.81224428,-6.430819452,0,0 +10123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.47019099,-5.432031652,0,0 +10124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.64751642,-5.830452203,0,0 +10125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.51106712,-6.942375988,0,0 +10126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.2751703,-6.614091893,0,0 +10127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.44583356,-5.95092327,0,0 +10128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.02179227,-5.344517528,0,0 +10129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.27197243,-5.266582624,0,0 +10130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.81486784,-7.486387005,0,0 +10131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.63702397,-6.61088697,0,0 +10132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.31954724,-7.876290894,0,0 +10133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.55108385,-5.259218772,0,0 +10134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.34934105,-5.380654262,0,0 +10135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.01025326,-8.30861602,0,0 +10136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.58737542,-5.331095348,0,0 +10137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.05288817,-7.801905097,0,0 +10138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.01395589,-4.371332115,0,0 +10139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.17085381,-5.062419157,0,0 +10140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.78809826,-5.15610747,0,0 +10141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.17476457,-5.171618421,0,0 +10142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.20593059,-5.261861323,0,0 +10143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.65555478,-3.45477417,0,0 +10144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.37470121,-5.021162344,0,0 +10145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.43047268,-4.360454981,0,0 +10146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.05923138,-4.165603346,0,0 +10147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.01825606,-6.839389873,0,0 +10148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.55797746,-6.552262719,0,0 +10151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.29760791,-3.280263169,0,0 +10149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.75858705,-7.420900023,0,0 +10152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.21691427,-5.041487585,0,0 +10153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.16898465,-2.680351641,0,0 +10150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.07047843,-3.691937102,0,0 +10154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.01931078,-3.384830015,0,0 +10155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.20618112,-5.607468378,0,0 +10156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.00801283,-4.710454105,0,0 +10158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.0648109,-6.763147952,0,0 +10157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.64401624,-6.689122568,0,0 +10159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.76653654,-6.574929296,0,0 +10160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.19685011,-7.274855556,0,0 +10161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.35682173,-8.624098022,0,0 +10162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.53675187,-4.030463971,0,0 +10163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.61941472,-5.388728478,0,0 +10164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.983618723,-3.93689481,0,0 +10166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.40349205,-5.746806812,0,0 +10165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.60878449,-4.926095939,0,0 +10167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.77180358,-2.62194896,0,0 +10168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.28410377,-5.963774501,0,0 +10170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.17810975,-6.833131006,0,0 +10171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.01165209,-7.764564432,0,0 +10169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.29205865,-4.958359769,0,0 +10172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.50324289,-7.021670059,0,0 +10173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.43997016,-6.671080336,0,0 +10174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.09785024,-5.771000943,0,0 +10175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.075608,-7.92060596,0,0 +10176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.11423487,-3.712839011,0,0 +10177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.63503867,-5.409369902,0,0 +10178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.974596781,-5.62665636,0,0 +10180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.05981642,-7.176913273,0,0 +10179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.76589571,-3.493069833,0,0 +10183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.07566537,-6.410303831,0,0 +10181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.18361613,-7.67438631,0,0 +10182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.49626521,-4.530865431,0,0 +10184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.38191261,-6.827081694,0,0 +10186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.42163469,-4.377464064,0,0 +10185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.56373796,-4.503998534,0,0 +10187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.54665436,-7.32979179,0,0 +10188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.25504384,-3.868431437,0,0 +10190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.19590258,-4.323267373,0,0 +10189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.13416987,-3.600470923,0,0 +10191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.08021846,-4.227331236,0,0 +10192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.33990535,-4.798982649,0,0 +10193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.949615404,-3.070413988,0,0 +10194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.62912422,-6.684103883,0,0 +10195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.13873652,-4.899830594,0,0 +10196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.53914572,-9.013697951,0,0 +10198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.12900551,-4.267879329,0,0 +10199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.71283165,-1.812322204,0,0 +10197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.35698273,-3.745979006,0,0 +10200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.42478349,-5.106274706,0,0 +10201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.53324814,-6.503357469,0,0 +10202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.67658726,-4.701563217,0,0 +10203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.64016998,-7.68928919,0,0 +10205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.02411784,-7.437223802,0,0 +10204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.07543763,-3.873994781,0,0 +10207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.69961562,-4.948573859,0,0 +10206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.66179872,-5.545337832,0,0 +10208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.33994725,-4.911026954,0,0 +10209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.7925931,-3.401954748,0,0 +10211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.45626648,-6.295288572,0,0 +10210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.68519029,-3.451866644,0,0 +10212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.00382354,-6.758652347,0,0 +10214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.73020283,-5.369689194,0,0 +10215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.04766942,-6.299678307,0,0 +10213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.20829545,-9.365504654,0,0 +10216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.945375066,-2.38435196,0,0 +10217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.77766416,-7.079862675,0,0 +10219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.79199545,-8.17375477,0,0 +10220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.20161092,-7.806477272,0,0 +10218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.09465278,-6.958158242,0,0 +10221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.57097192,-6.661320852,0,0 +10222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.10908525,-6.018659322,0,0 +10223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.26865268,-5.03893146,0,0 +10224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.13610534,-4.721674605,0,0 +10225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.37623013,-6.36277744,0,0 +10226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.74891926,-4.736881485,0,0 +10228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.40367048,-5.697379585,0,0 +10227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.947988331,-6.654128525,0,0 +10229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.33814646,-5.002295039,0,0 +10230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.12284762,-4.824664364,0,0 +10232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.50112638,-4.051914314,0,0 +10231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.1984031,-5.034405332,0,0 +10233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.35645699,-5.209769365,0,0 +10235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.37027189,-6.944526477,0,0 +10236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.84931178,-4.814729526,0,0 +10234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.15772447,-6.862506412,0,0 +10237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.12851904,-5.132473652,0,0 +10238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.36070443,-5.876641212,0,0 +10239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.40157479,-4.558724286,0,0 +10241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.15984613,-5.376622485,0,0 +10240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.568883,-6.013908131,0,0 +10242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.77780317,-6.016846444,0,0 +10244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.0338137,-5.121057781,0,0 +10243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.05970695,-2.27635274,0,0 +10245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.69163069,-6.778057866,0,0 +10246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.71837531,-4.69184115,0,0 +10247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.15994368,-5.663121868,0,0 +10248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.19037943,-5.929760003,0,0 +10250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.30664251,-4.081622349,0,0 +10251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.2511388,-5.549545474,0,0 +10252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.32981382,-5.258196059,0,0 +10249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.47986296,-4.863792392,0,0 +10253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.06635428,-8.221176736,0,0 +10254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.08329001,-6.401151317,0,0 +10255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.20843427,-5.129400009,0,0 +10256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.8200158,-5.412240052,0,0 +10257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.3915523,-5.818994616,0,0 +10258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.61198633,-6.221145488,0,0 +10259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.26448996,-5.473041906,0,0 +10261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.03866394,-8.001276152,0,0 +10260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.60450203,-3.572316405,0,0 +10262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.02219943,-7.081494123,0,0 +10263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.27965256,-4.105871985,0,0 +10264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.5726241,-4.817939277,0,0 +10265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.16282224,-4.362750697,0,0 +10266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.43636415,-4.20421562,0,0 +10268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.3873896,-6.563551672,0,0 +10267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.14186497,-5.521659343,0,0 +10270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.70996588,-6.473899844,0,0 +10271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.25916285,-6.2963584,0,0 +10272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.14367493,-3.328086679,0,0 +10269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.41813262,-5.007334236,0,0 +10274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.2720528,-6.043809457,0,0 +10273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.41584251,-4.76354977,0,0 +10276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.64975947,-7.203394714,0,0 +10275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.48985603,-6.325547233,0,0 +10277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.993513613,-6.790107664,0,0 +10279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.82170773,-4.751278387,0,0 +10278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.48585654,-5.080250819,0,0 +10280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.42488395,-4.387355428,0,0 +10281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.74842608,-5.117821663,0,0 +10283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.05026805,-7.207536044,0,0 +10284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.61680294,-4.850126486,0,0 +10282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.30936212,-3.944788655,0,0 +10285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.75489892,-5.87523518,0,0 +10286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.71241213,-5.431676107,0,0 +10287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.32958199,-6.151510123,0,0 +10289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.79093097,-7.668713246,0,0 +10288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.38776725,-4.480968728,0,0 +10290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.04190812,-5.359586871,0,0 +10291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.6780814,-3.5112034,0,0 +10292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.80342295,-6.627628021,0,0 +10293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.63811862,-7.935333619,0,0 +10295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.69674353,-5.292284637,0,0 +10294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.74106118,-3.234720106,0,0 +10296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.65867379,-5.205948887,0,0 +10299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.6349611,-5.168032534,0,0 +10297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.4492942,-5.982852142,0,0 +10298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.53731413,-4.765270855,0,0 +10300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.68159702,-4.72887768,0,0 +10301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.11784692,-4.511897517,0,0 +10302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.56928297,-4.832097958,0,0 +10303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.72558997,-4.318440623,0,0 +10304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.80861737,-7.89669497,0,0 +10305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.03730802,-5.35883176,0,0 +10307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.29382818,-2.596342149,0,0 +10308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.59180848,-4.682229018,0,0 +10309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.65304817,-4.952653636,0,0 +10306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.78686028,-6.691981185,0,0 +10310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.18378459,-5.934042216,0,0 +10311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.49513126,-8.011382668,0,0 +10312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.76355004,-6.471717028,0,0 +10313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.52470006,-4.296402936,0,0 +10314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.04342229,-5.462346133,0,0 +10315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.09074794,-6.040529137,0,0 +10316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.65003933,-6.767365982,0,0 +10317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.36817166,-4.418732054,0,0 +10319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.33174634,-4.324960664,0,0 +10318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.45145601,-5.519894409,0,0 +10321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.5783113,-3.908576757,0,0 +10320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.23800055,-7.289330133,0,0 +10324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.48535617,-7.543061345,0,0 +10322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.574288,-4.983075004,0,0 +10323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.984358656,-4.006832712,0,0 +10326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.4307041,-3.770876824,0,0 +10329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.36951779,-5.028143768,0,0 +10327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.08116271,-6.421443144,0,0 +10328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.58349246,-2.499447155,0,0 +10325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.062547,-5.514044053,0,0 +10331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.50454196,-3.975638815,0,0 +10332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.62798775,-7.045707202,0,0 +10330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.72805558,-4.100170971,0,0 +10333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.57639428,-5.606902378,0,0 +10336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.56705289,-6.385808347,0,0 +10338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.32187367,-5.48055205,0,0 +10335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.05810912,-5.988511477,0,0 +10337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.985056881,-5.548385199,0,0 +10334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.82937046,-4.279712348,0,0 +10340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.01368601,-5.191801189,0,0 +10341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.25667564,-5.432321529,0,0 +10339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.48846485,-5.371203649,0,0 +10342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.27678854,-6.292993994,0,0 +10344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.58127578,-2.968422248,0,0 +10343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.17227248,-2.221998648,0,0 +10347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.25666071,-4.893222789,0,0 +10346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.14086662,-5.505992102,0,0 +10345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.11371755,-7.132333385,0,0 +10349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.03707449,-5.198409256,0,0 +10348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.40886966,-4.542154361,0,0 +10350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.77003358,-2.826150734,0,0 +10351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.8251249,-4.786741708,0,0 +10352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.26536392,-5.269067501,0,0 +10354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.68861792,-7.44091835,0,0 +10357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.43251366,-4.694812614,0,0 +10355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.943971189,-3.022273941,0,0 +10356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.22250054,-6.365688822,0,0 +10353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.42506947,-3.380780221,0,0 +10358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.67788901,-5.673169265,0,0 +10359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.65736636,-4.108536591,0,0 +10360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.38904412,-5.056061604,0,0 +10361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.56497159,-3.763453188,0,0 +10362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.41167309,-6.879306362,0,0 +10365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.60046447,-5.113458911,0,0 +10366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.52754647,-5.753436889,0,0 +10367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.71594883,-6.25527439,0,0 +10368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.48037911,-5.931619161,0,0 +10364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.67448309,-6.001089005,0,0 +10363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.52692213,-5.461248467,0,0 +10369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.39213952,-6.754798835,0,0 +10370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.55448093,-4.7773892,0,0 +10371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.44103525,-5.315749953,0,0 +10374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.74088266,-5.619536513,0,0 +10375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.76808222,-5.08151339,0,0 +10372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.965810459,-5.870195823,0,0 +10373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.6293756,-4.943118719,0,0 +10376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.21318808,-6.316665786,0,0 +10377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.47038964,-6.181757445,0,0 +10378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.20577251,-5.300255183,0,0 +10379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.7717815,-6.507373099,0,0 +10380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.19307614,-8.004427158,0,0 +10382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.17124664,-4.380339846,0,0 +10383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.69389954,-6.5830242,0,0 +10381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.99680408,-7.245497201,0,0 +10385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.39050626,-7.397818604,0,0 +10386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.79613994,-3.645329485,0,0 +10384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.1271494,-7.665516332,0,0 +10389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.52210324,-4.068729769,0,0 +10388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.38304347,-3.220658698,0,0 +10387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.51493978,-7.402909266,0,0 +10391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.21807317,-6.201397121,0,0 +10390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.932184813,-6.903497739,0,0 +10393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.97506337,-4.760906446,0,0 +10392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.57269039,-5.996793586,0,0 +10394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.991140893,-5.933674651,0,0 +10395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.31596385,-6.827463528,0,0 +10396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.23035992,-5.948294625,0,0 +10397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.85098944,-6.314215171,0,0 +10399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.56468757,-3.281129365,0,0 +10398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.26296799,-7.809281764,0,0 +10401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.4488956,-4.800343505,0,0 +10400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.68074478,-6.761586955,0,0 +10404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.35451108,-3.638579732,0,0 +10405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.79155076,-4.301257022,0,0 +10403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.17658797,-5.695297063,0,0 +10402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.64850801,-5.005510258,0,0 +10406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.06867556,-1.785144154,0,0 +10409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.34121238,-3.548479064,0,0 +10407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.66181749,-5.891019728,0,0 +10408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.29302231,-4.623952961,0,0 +10410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.39446947,-2.931055765,0,0 +10411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.2833389,-5.142980154,0,0 +10412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.61103601,-5.414066756,0,0 +10413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.37306984,-7.653306986,0,0 +10414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.32269073,-5.648482857,0,0 +10415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.7787328,-6.025389077,0,0 +10416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.73433426,-6.632902543,0,0 +10418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.77334289,-3.8121315,0,0 +10419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.81284555,-8.453506524,0,0 +10417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.67394709,-4.935417207,0,0 +10420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.00655938,-7.537640526,0,0 +10422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.54832915,-4.986653268,0,0 +10423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.7673653,-7.073728814,0,0 +10421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.57946317,-7.677929676,0,0 +10424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.31446315,-6.378479459,0,0 +10425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.2209052,-4.880673554,0,0 +10427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.65228927,-6.789066413,0,0 +10428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.01900878,-4.143410302,0,0 +10426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.26610655,-6.054420955,0,0 +10430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.4626899,-7.390340878,0,0 +10429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.28397167,-7.425851203,0,0 +10433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.06151123,-4.534626867,0,0 +10431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.994608806,-6.19711903,0,0 +10434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.14572783,-6.644365,0,0 +10435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.41827383,-5.575116529,0,0 +10436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.69632958,-6.444094794,0,0 +10432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.24158113,-5.408534267,0,0 +10437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.5873044,-5.187536036,0,0 +10438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.19059486,-7.506333419,0,0 +10441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.10040196,-3.704888708,0,0 +10439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.92742915,-6.477819356,0,0 +10442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.54876456,-5.979539015,0,0 +10444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.0933967,-4.541734199,0,0 +10440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.32539092,-7.554920961,0,0 +10443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.74397656,-5.910038407,0,0 +10445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.36465574,-6.090874776,0,0 +10447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.59579231,-6.81773096,0,0 +10448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.18046975,-4.447352289,0,0 +10449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.26815221,-7.224467426,0,0 +10450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.82395741,-7.412548548,0,0 +10446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.55943728,-5.448304532,0,0 +10452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.51254684,-3.670992479,0,0 +10451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.997695202,-5.706930218,0,0 +10453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.61003873,-6.255049617,0,0 +10454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.71813589,-5.471080658,0,0 +10455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.09027968,-2.90909284,0,0 +10456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.0706753,-7.106107397,0,0 +10457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.32309626,-7.880217021,0,0 +10458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.08332844,-4.753696418,0,0 +10459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.33264912,-5.487134159,0,0 +10461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.63017597,-2.930954922,0,0 +10462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.65232993,-8.172149831,0,0 +10463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.79533661,-4.214530482,0,0 +10464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.07536457,-4.190025955,0,0 +10465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.58548011,-3.808683636,0,0 +10460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.47806764,-5.09929111,0,0 +10466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.6882044,-1.850827661,0,0 +10467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.88016561,-6.634314351,0,0 +10468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.58620537,-6.869192193,0,0 +10470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.38800425,-4.675068354,0,0 +10469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.56858091,-3.595740144,0,0 +10472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.06705802,-5.459527323,0,0 +10471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.22839994,-2.314304714,0,0 +10474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.84928892,-7.087216122,0,0 +10473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.31688797,-3.974267328,0,0 +10475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.34545274,-6.082027886,0,0 +10476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.13767324,-6.217446641,0,0 +10479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.2274155,-7.552998359,0,0 +10478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.34901295,-6.44890591,0,0 +10480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.75298184,-4.472317638,0,0 +10481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.67002185,-5.166765354,0,0 +10477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.53231416,-4.583902935,0,0 +10483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.943836598,-6.884342036,0,0 +10484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.74561902,-7.047970184,0,0 +10482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.39277296,-6.34732584,0,0 +10486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.922215589,-4.966841672,0,0 +10485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.58908382,-2.44179767,0,0 +10487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.28587087,-7.007848606,0,0 +10489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.51225226,-5.4385339,0,0 +10488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.23567477,-3.726187365,0,0 +10490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.37729582,-7.935183537,0,0 +10491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.08144443,-6.13117344,0,0 +10492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.19256234,-5.056439281,0,0 +10493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.80236644,-6.823451683,0,0 +10494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.923427056,-4.765637214,0,0 +10495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.09095676,-4.714020942,0,0 +10497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.17666601,-6.774755052,0,0 +10496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.07814287,-6.897055571,0,0 +10500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.7005233,-4.538832667,0,0 +10499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.11007103,-5.758377212,0,0 +10498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.54943174,-7.000369331,0,0 +10502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.22081085,-5.828119167,0,0 +10501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.49489666,-6.583284419,0,0 +10505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.85282497,-6.844611695,0,0 +10504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.2199015,-5.159414537,0,0 +10503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.16046414,-4.610215149,0,0 +10507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.12132361,-6.503760696,0,0 +10506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.62722212,-8.091597181,0,0 +10508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.1520093,-2.684744964,0,0 +10509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.955508599,-4.329825995,0,0 +10510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.15715858,-5.791680756,0,0 +10511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.1745781,-6.414964275,0,0 +10512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.53286797,-2.917779094,0,0 +10513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.51557388,-8.398953129,0,0 +10514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.02755592,-5.517952029,0,0 +10515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.13172587,-6.519422445,0,0 +10517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.75002186,-5.218747168,0,0 +10518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.00331518,-5.02905345,0,0 +10519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.13820783,-3.919398373,0,0 +10521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.26160087,-7.372250432,0,0 +10520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.48591622,-3.928805025,0,0 +10516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.82604514,-6.727066689,0,0 +10522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.5425214,-7.655194789,0,0 +10523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.43272684,-0.460837828,0,0 +10525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.57869133,-6.882822896,0,0 +10526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.51536719,-7.264045553,0,0 +10527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.52812759,-4.992862585,0,0 +10524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.35884775,-3.514892436,0,0 +10528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.82612737,-4.416131684,0,0 +10529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.70623372,-6.00569616,0,0 +10531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.67903879,-4.587514011,0,0 +10530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.993585413,-7.169470947,0,0 +10534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.51369454,-5.496785849,0,0 +10532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.27579336,-5.98118629,0,0 +10535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.55405821,-9.720274817,0,0 +10533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.71657888,-4.747541139,0,0 +10536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.75743465,-3.745793509,0,0 +10537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.68930136,-5.283091186,0,0 +10539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.27122789,-5.278268319,0,0 +10538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.05852471,-4.64655801,0,0 +10541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.7260806,-4.333444351,0,0 +10542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.43662386,-5.360964838,0,0 +10540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.13457861,-3.393851641,0,0 +10543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.49464325,-7.951504135,0,0 +10544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.61889509,-6.365634871,0,0 +10545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.11935676,-5.451097778,0,0 +10546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.982442905,-6.325728301,0,0 +10548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.23556949,-4.744548075,0,0 +10549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.03408102,-7.294131482,0,0 +10550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.11210352,-4.503708736,0,0 +10551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.09979746,-5.869067744,0,0 +10547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.68409347,-3.56888268,0,0 +10552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.67466394,-5.962447692,0,0 +10553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.75460294,-5.604977612,0,0 +10554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.72269494,-5.386911768,0,0 +10555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.11751649,-4.454729032,0,0 +10556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.21742008,-6.025361646,0,0 +10557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.14304153,-6.737057968,0,0 +10558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.43216181,-6.011724691,0,0 +10559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.61835205,-1.075641777,0,0 +10561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.71526573,-3.943590881,0,0 +10562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.52269688,-6.896720937,0,0 +10560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.74555745,-3.942180647,0,0 +10563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.59453222,-5.385126789,0,0 +10565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.51819524,-6.624075187,0,0 +10566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.59155883,-5.918288244,0,0 +10568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.2984843,-3.580985653,0,0 +10569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.66117449,-7.462193587,0,0 +10564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.28186497,-6.074096121,0,0 +10570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.53670062,-4.94694101,0,0 +10572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.47323155,-4.057522748,0,0 +10571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.2934807,-6.794498061,0,0 +10573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.31779552,-7.287034684,0,0 +10567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.969910068,-5.06717277,0,0 +10574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.59095599,-2.989238112,0,0 +10575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.916735081,-6.578119653,0,0 +10576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.954235893,-4.283793545,0,0 +10579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.44395822,-1.903150357,0,0 +10578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.03304339,-6.257948975,0,0 +10577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.59497703,-7.537437474,0,0 +10580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.34972221,-6.150491704,0,0 +10581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.36739062,-4.817232358,0,0 +10582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.998273324,-4.230401934,0,0 +10584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.49962436,-5.814274086,0,0 +10583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.58226233,-7.726671229,0,0 +10585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.69274305,-6.140173803,0,0 +10587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.7074519,-6.618061345,0,0 +10586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.69155036,-2.768515429,0,0 +10588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.33070058,-7.77509733,0,0 +10590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.20742369,-6.20158479,0,0 +10591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.71680772,-6.688854544,0,0 +10592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.08161935,-4.322522943,0,0 +10594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.3953121,-6.030950107,0,0 +10593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.12109967,-3.762328454,0,0 +10589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.10285623,-5.10086019,0,0 +10595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.73090524,-4.083025581,0,0 +10596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.42361999,-4.934648596,0,0 +10597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.18541761,-7.108447901,0,0 +10599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.908865208,-6.378057912,0,0 +10602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.48475561,-4.605696754,0,0 +10600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.72428113,-5.531776479,0,0 +10598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.35620778,-6.467873454,0,0 +10601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.63312795,-4.835969435,0,0 +10603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.20585008,-2.722482124,0,0 +10604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.57816844,-4.898303781,0,0 +10605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.35082137,-3.731708281,0,0 +10607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.71017665,-5.59926246,0,0 +10606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.33191836,-5.380347297,0,0 +10608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.42390585,-5.52363156,0,0 +10609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.57566838,-2.877664021,0,0 +10611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.77152991,-5.397737334,0,0 +10610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.59993006,-6.798002143,0,0 +10612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.81770843,-6.422276964,0,0 +10613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.45981865,-6.165835565,0,0 +10615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.4115078,-6.96711109,0,0 +10614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.24899888,-5.187855237,0,0 +10616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.904187052,-3.915347118,0,0 +10617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.991990771,-6.0544178,0,0 +10618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.65806155,-7.584573626,0,0 +10620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.3876623,-5.40003333,0,0 +10621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.54302291,-5.245490564,0,0 +10619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.68456253,-4.568922636,0,0 +10622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.53826796,-4.845783855,0,0 +10623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.13758227,-4.795972747,0,0 +10624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.990233989,-5.834059692,0,0 +10626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.08866239,-6.057602008,0,0 +10625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.33829934,-7.222999563,0,0 +10628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.43592769,-4.511068699,0,0 +10627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.63937764,-6.383957482,0,0 +10631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.43593426,-6.202260015,0,0 +10630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.48655244,-6.341204147,0,0 +10629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.44825089,-2.941843564,0,0 +10632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.48601608,-8.737453273,0,0 +10633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.00631349,-2.547946005,0,0 +10634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.75329221,-7.090361747,0,0 +10635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.07550944,-5.291225802,0,0 +10636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.29842292,-4.478522566,0,0 +10638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.37810115,-9.298837873,0,0 +10637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.962332777,-6.511202157,0,0 +10640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.5675697,-5.377613062,0,0 +10641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.01765794,-4.53654144,0,0 +10639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.37761307,-4.203658587,0,0 +10642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.43709144,-6.736795164,0,0 +10643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.37203516,-5.895267837,0,0 +10644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.01862884,-8.376461818,0,0 +10646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.74609451,-3.249024859,0,0 +10645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.28833202,-5.705459911,0,0 +10647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.20163646,-6.247869677,0,0 +10648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.09324785,-5.454609045,0,0 +10651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.67485676,-6.097517234,0,0 +10650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.68766443,-6.623971694,0,0 +10649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.08857925,-3.21847344,0,0 +10652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.76361626,-5.274247414,0,0 +10653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.21791552,-5.142411669,0,0 +10654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.74930362,-6.199890955,0,0 +10656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.5308523,-4.255900229,0,0 +10655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.21232921,-5.722496656,0,0 +10657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.31930087,-5.963526198,0,0 +10658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.71896538,-8.167134589,0,0 +10659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.63789618,-3.530777795,0,0 +10661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.22965976,-4.947031522,0,0 +10662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.67009243,-7.284943395,0,0 +10660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.05226038,-6.787685654,0,0 +10663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.64873271,-5.678459494,0,0 +10664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.84688538,-5.447227641,0,0 +10666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.16186728,-5.725308884,0,0 +10668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.936136545,-4.534363878,0,0 +10667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.913389413,-6.006393274,0,0 +10665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.23376289,-4.008964497,0,0 +10669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.35541776,-7.244377466,0,0 +10670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.55199361,-6.403890742,0,0 +10671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.44276406,-3.088537262,0,0 +10672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.0208685,-2.392457751,0,0 +10673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.19184209,-5.499702972,0,0 +10674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.02021505,-4.813057068,0,0 +10676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.925462192,-8.159587277,0,0 +10677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.590553,-6.56560743,0,0 +10678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.85115256,-5.28892257,0,0 +10679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.07745635,-5.935524255,0,0 +10680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.8586399,-6.745581214,0,0 +10681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.06040988,-4.373051043,0,0 +10682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.51556635,-4.702767206,0,0 +10675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.72832192,-5.119624639,0,0 +10685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.17338735,-5.446694794,0,0 +10683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.77136543,-7.050852418,0,0 +10686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.72974622,-5.320256023,0,0 +10684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.08450561,-5.002677382,0,0 +10687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.36492388,-6.0865944,0,0 +10688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.39926564,-5.000467543,0,0 +10689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.58184129,-4.748166379,0,0 +10690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.28666256,-5.414347542,0,0 +10692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.27115883,-5.922913632,0,0 +10691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.81619819,-6.998307664,0,0 +10694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.989829159,-4.042646522,0,0 +10693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.10110613,-5.807962201,0,0 +10695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.51551884,-6.706329802,0,0 +10696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.12428082,-4.533538663,0,0 +10697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.18664003,-6.321801722,0,0 +10698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.36074479,-7.195625123,0,0 +10700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.73603424,-6.343319373,0,0 +10702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.53523204,-5.138865831,0,0 +10701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.40307737,-4.501402254,0,0 +10699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.35687714,-6.860730449,0,0 +10704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.988843528,-6.329151529,0,0 +10703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.90548236,-6.919719102,0,0 +10705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.70506801,-7.064605783,0,0 +10707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.39154753,-6.741817283,0,0 +10706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.64774006,-6.658556059,0,0 +10708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.26616606,-7.161072436,0,0 +10709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.53978109,-8.358494776,0,0 +10710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.32345433,-6.639438415,0,0 +10711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.63685059,-7.443562394,0,0 +10712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.49464581,-6.038197622,0,0 +10713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.20749783,-3.387913552,0,0 +10714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.3819466,-5.372711904,0,0 +10716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.09064633,-7.616279886,0,0 +10717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.63348636,-4.71986323,0,0 +10719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.67053875,-6.166438564,0,0 +10720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.76248327,-5.817790541,0,0 +10715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.58983818,-5.548855842,0,0 +10721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.18728964,-5.618967681,0,0 +10718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.57601395,-5.99423903,0,0 +10722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.53605575,-6.488435136,0,0 +10723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.70882432,-4.777504628,0,0 +10725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.08174494,-5.630337314,0,0 +10724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.30605988,-4.070920543,0,0 +10727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.01239024,-4.374365648,0,0 +10726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.55819291,-6.132412652,0,0 +10728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.47317818,-6.908924124,0,0 +10729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.14910057,-6.605632934,0,0 +10730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.33518806,-7.10223561,0,0 +10731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.42862059,-7.661234046,0,0 +10732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.74373974,-3.799989335,0,0 +10733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.2485879,-6.545494562,0,0 +10734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.61000316,-4.682678082,0,0 +10736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.72326099,-5.841953493,0,0 +10737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.30527234,-6.043718911,0,0 +10735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.2279681,-5.543006215,0,0 +10738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.48591289,-4.904600484,0,0 +10739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.03815676,-6.001258267,0,0 +10740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.14048581,-6.518429152,0,0 +10743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.30188853,-4.855282113,0,0 +10741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.999910808,-4.881619191,0,0 +10742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.68408161,-6.840269299,0,0 +10744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.48942404,-4.463592809,0,0 +10745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.44606821,-2.906481191,0,0 +10746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.35860906,-8.123824059,0,0 +10747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.77663377,-3.736228422,0,0 +10748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.15417072,-5.54468748,0,0 +10750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.69405187,-5.643340469,0,0 +10749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.62498304,-6.372329666,0,0 +10752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.44438507,-4.654982453,0,0 +10751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.19081897,-3.073236725,0,0 +10755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.27997812,-5.269865267,0,0 +10754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.20096841,-6.942948538,0,0 +10753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.80105984,-5.823190038,0,0 +10756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.27748786,-5.12301768,0,0 +10758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.72202313,-3.56163418,0,0 +10757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.941649762,-3.633616315,0,0 +10760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.27764589,-3.009000063,0,0 +10759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.77721169,-6.466339627,0,0 +10762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.36662684,-4.12032873,0,0 +10761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.68683612,-3.68289578,0,0 +10763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.33162022,-4.879504375,0,0 +10764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.18512897,-5.539034105,0,0 +10765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.47418696,-4.468638084,0,0 +10766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.980607456,-5.791225803,0,0 +10767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.21099816,-5.64494871,0,0 +10768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.08602548,-6.364028502,0,0 +10769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.36859649,-6.893848297,0,0 +10770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.21980971,-8.796870466,0,0 +10772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.53282019,-3.926943012,0,0 +10773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.49997025,-6.630442937,0,0 +10774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.76815961,-4.054784852,0,0 +10775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.00723793,-5.904710751,0,0 +10771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.77535506,-6.372248669,0,0 +10776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.16533962,-2.691069685,0,0 +10777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.979477238,-3.907817569,0,0 +10779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.23774995,-6.218131648,0,0 +10778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.05554906,-4.212829456,0,0 +10780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.06075608,-5.301803855,0,0 +10781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.28140964,-3.029179086,0,0 +10782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.44980545,-7.505702889,0,0 +10783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.62266781,-3.598879828,0,0 +10784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.73698679,-4.746766621,0,0 +10786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.80497234,-6.875876323,0,0 +10785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.40199632,-7.984233526,0,0 +10787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.34042648,-6.463435103,0,0 +10789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.33580909,-5.424183401,0,0 +10788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.40498359,-5.517431755,0,0 +10790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.25704616,-5.681711896,0,0 +10791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.46289504,-5.823097196,0,0 +10792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.66126861,-3.753682349,0,0 +10793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.613187,-6.134607554,0,0 +10794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.16150355,-5.237144228,0,0 +10795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.15344932,-5.35526627,0,0 +10797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.31661066,-5.076091018,0,0 +10798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.57010525,-5.203194426,0,0 +10796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.35598362,-3.122169369,0,0 +10799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.44428293,-6.626323024,0,0 +10800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.33541885,-5.861305731,0,0 +10802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.51240162,-4.864017635,0,0 +10801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.76824952,-5.679691397,0,0 +10803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.21266505,-4.312997752,0,0 +10804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.35169817,-4.858470379,0,0 +10806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.52915732,-4.567363497,0,0 +10805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.45109018,-6.49953158,0,0 +10808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.74317955,-5.719616798,0,0 +10807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.17978819,-6.092594162,0,0 +10811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.955655186,-4.965619095,0,0 +10809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.70357368,-5.201439239,0,0 +10810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.984244742,-3.378938616,0,0 +10812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.59932194,-7.356478292,0,0 +10814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.950645796,-4.92330373,0,0 +10813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.17415056,-2.710225847,0,0 +10815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.21833763,-6.707620073,0,0 +10817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.73939328,-8.770741436,0,0 +10818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.40402747,-6.198499066,0,0 +10816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.04005444,-4.198811028,0,0 +10819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.3338034,-4.184435547,0,0 +10820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.17835995,-3.899154398,0,0 +10821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.30545884,-5.941839357,0,0 +10822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.68827776,-5.886329879,0,0 +10823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.84554443,-4.124044143,0,0 +10824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.63053819,-4.706227246,0,0 +10826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.07656265,-6.21364337,0,0 +10827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.19977181,-4.514574335,0,0 +10828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.25310341,-2.946161233,0,0 +10825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.38144416,-3.799447993,0,0 +10830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.11694497,-5.547919861,0,0 +10829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.18011396,-5.686103359,0,0 +10832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.02745436,-5.116579688,0,0 +10833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.35805287,-3.894845227,0,0 +10831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.40395788,-6.775345409,0,0 +10835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.60062557,-7.703104831,0,0 +10834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.0106626,-6.455547981,0,0 +10836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.48917024,-4.442237909,0,0 +10837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.11704892,-5.408646269,0,0 +10839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.20760337,-6.050470662,0,0 +10838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.36440368,-2.531893597,0,0 +10841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.16085154,-6.51040114,0,0 +10840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.37659955,-5.796077092,0,0 +10842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.55360188,-4.923587749,0,0 +10843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.50108691,-6.692258934,0,0 +10845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.28934963,-6.912950623,0,0 +10847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.01633893,-1.85054241,0,0 +10849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.965398412,-6.654917712,0,0 +10844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.10254997,-5.443103227,0,0 +10850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.3448206,-5.06247755,0,0 +10848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.71787514,-6.732444394,0,0 +10846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.57425887,-4.651290163,0,0 +10851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.22148854,-6.898599466,0,0 +10852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.57236662,-5.600672323,0,0 +10853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.01456195,-7.028768645,0,0 +10854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.29839581,-2.123143296,0,0 +10856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.56666025,-5.430005085,0,0 +10855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.943482906,-4.988624224,0,0 +10857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.2105877,-5.466672982,0,0 +10858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.2955816,-6.684710569,0,0 +10859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.15881298,-5.901977734,0,0 +10860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.72642037,-7.329732051,0,0 +10861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.60614266,-4.844560886,0,0 +10863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.21849038,-8.176219088,0,0 +10862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.16116698,-4.12571753,0,0 +10866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.21471243,-7.254422469,0,0 +10865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.41101629,-2.824853209,0,0 +10864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.43485973,-7.145175414,0,0 +10871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.29902823,-5.915882143,0,0 +10870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.16721449,-5.247940046,0,0 +10868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.48983504,-7.270904292,0,0 +10869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.76659413,-5.689911757,0,0 +10867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.55464925,-5.583782236,0,0 +10872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.59584798,-2.63015793,0,0 +10873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.73583578,-4.597635146,0,0 +10874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.2770652,-7.55950454,0,0 +10875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.70442866,-4.105649787,0,0 +10876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.19559934,-4.717132089,0,0 +10877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.2902936,-6.881075587,0,0 +10878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.56259105,-0.868143912,0,0 +10879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.92992463,-4.718986053,0,0 +10880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.30864129,-5.228204624,0,0 +10881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.985246653,-4.636438725,0,0 +10886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.39156118,-6.405340347,0,0 +10887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.30019995,-5.926418911,0,0 +10883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.14150338,-4.038779626,0,0 +10884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.73506274,-5.008210254,0,0 +10882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.09175578,-5.800319783,0,0 +10885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.07344653,-4.172011839,0,0 +10888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.60187741,-6.989319949,0,0 +10890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.86309684,-5.918208868,0,0 +10889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.895099075,-3.255807419,0,0 +10892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.58965968,-6.270399797,0,0 +10895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.21371292,-5.878961467,0,0 +10894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.897895095,-5.800435483,0,0 +10896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.68974374,-5.918126407,0,0 +10893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.79384061,-4.674896961,0,0 +10897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.68856339,-6.84786439,0,0 +10891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.36980415,-5.944736064,0,0 +10898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.05268594,-8.623668147,0,0 +10899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.66320727,-5.34119469,0,0 +10901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.21407383,-3.398022849,0,0 +10902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.3479468,-4.752916115,0,0 +10900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.34412195,-4.271326685,0,0 +10905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.3486667,-7.30403858,0,0 +10903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.55924235,-6.032988463,0,0 +10907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.44805893,-6.126751131,0,0 +10904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.48968272,-9.503610888,0,0 +10906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.56951386,-4.847830969,0,0 +10908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.77484636,-4.989443047,0,0 +10909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.18416302,-5.079270529,0,0 +10910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.21371335,-2.652073335,0,0 +10914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.24187753,-2.3771196,0,0 +10913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.27451723,-6.753043145,0,0 +10915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.915820594,-5.138080297,0,0 +10916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.41128216,-5.461594564,0,0 +10912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.33360375,-6.046643339,0,0 +10918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.0621978,-4.503388727,0,0 +10917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.71881639,-5.744938018,0,0 +10911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.28503928,-4.535804048,0,0 +10920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.75673062,-4.801722758,0,0 +10919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.6757424,-3.194503566,0,0 +10922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.44397621,-4.755069442,0,0 +10924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.24382815,-7.779889967,0,0 +10921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.10040786,-4.074143146,0,0 +10925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.20075652,-6.328027758,0,0 +10926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.55868972,-8.834488303,0,0 +10923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.35367502,-6.908128205,0,0 +10927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.43963671,-3.960838722,0,0 +10928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.46675364,-5.340969194,0,0 +10929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.57445991,-4.999256084,0,0 +10930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.49382352,-6.45087474,0,0 +10932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.57364846,-2.021717537,0,0 +10931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.41780377,-7.509408728,0,0 +10933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.6175714,-6.113286673,0,0 +10934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.958221412,-6.991452322,0,0 +10935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.7333803,-7.166696274,0,0 +10937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.08389711,-4.518845613,0,0 +10939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.64149292,-6.536806878,0,0 +10941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.09976804,-6.859902021,0,0 +10936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.17613643,-6.583200442,0,0 +10940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.58237222,-4.28984248,0,0 +10938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.70698848,-8.260747646,0,0 +10943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.43059648,-5.661511044,0,0 +10944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.999769717,-5.874938583,0,0 +10945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.1448422,-4.523155604,0,0 +10947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.74096018,-6.861481524,0,0 +10948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.06202381,-4.557804389,0,0 +10942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.31560826,-3.623436673,0,0 +10946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.53339169,-6.17341547,0,0 +10949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.928289184,-5.591816762,0,0 +10950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.5224884,-7.825816883,0,0 +10951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.58607838,-5.031772182,0,0 +10952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.12432688,-5.99557689,0,0 +10953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.4246323,-7.151640687,0,0 +10954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.50644702,-4.80473732,0,0 +10956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.54288572,-6.90268675,0,0 +10955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.35846095,-5.662691073,0,0 +10958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.63675654,-8.427743712,0,0 +10957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.56213529,-5.371567511,0,0 +10959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.66699956,-5.910048964,0,0 +10960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.06111949,-4.938702694,0,0 +10962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.33892607,-3.20058393,0,0 +10963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-9.948977188,-6.661446035,0,0 +10961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.41097332,-4.528571246,0,0 +10965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.58742834,-4.892053383,0,0 +10966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.22096955,-6.498184182,0,0 +10967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.70142279,-4.611657289,0,0 +10968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.56350598,-5.956898398,0,0 +10964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.2842543,-6.076264728,0,0 +10969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.6969665,-6.075079069,0,0 +10970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.6058662,-6.82747195,0,0 +10971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.37076801,-7.369286877,0,0 +10972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.36675417,-8.021918636,0,0 +10975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.59569393,-7.285744324,0,0 +10974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.07300928,-8.296889008,0,0 +10973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.42895823,-6.149819063,0,0 +10976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.74063525,-4.731223153,0,0 +10977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.27731851,-6.564825261,0,0 +10978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.52617332,-4.964464584,0,0 +10980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.63138354,-5.837248998,0,0 +10982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.04446372,-6.681704383,0,0 +10979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.45414081,-7.355569199,0,0 +10981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.55838669,-6.301429928,0,0 +10985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.74536405,-5.258434988,0,0 +10986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.26543444,-7.11243766,0,0 +10983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.79237506,-6.688064793,0,0 +10984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.55576198,-3.853399653,0,0 +10988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.33100723,-5.30353412,0,0 +10990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.70939317,-6.211488597,0,0 +10987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.31562503,-5.578721592,0,0 +10989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.23308104,-4.644895065,0,0 +10991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.43530875,-5.273255091,0,0 +10993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.32283939,-4.511891776,0,0 +10992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.37151482,-7.766758196,0,0 +10995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.35071966,-5.160587302,0,0 +10997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.09153667,-4.830110618,0,0 +10996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.57033763,-8.275710706,0,0 +10994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.58668575,-4.410178084,0,0 +10998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.39560155,-4.428498514,0,0 +10999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.00814394,-5.370344586,0,0 +11000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.5,10,1,-10.36022715,-4.825790909,0,0 +11001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.50888692,-6.616208015,0,0 +11003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.15113626,-9.004488446,0,0 +11002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.28274091,-5.289822399,0,0 +11005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.77370006,-6.478492154,0,0 +11006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.26094982,-6.882068028,0,0 +11004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.41595448,-9.453997025,0,0 +11007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.45534034,-8.113416101,0,0 +11008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.990191369,-5.655677343,0,0 +11010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.41351274,-6.551731709,0,0 +11011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.58960901,-6.676311638,0,0 +11009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.56723305,-8.511683948,0,0 +11012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.46238982,-8.512997677,0,0 +11014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.41362687,-6.371346505,0,0 +11015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.64248554,-4.576706829,0,0 +11016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.06549473,-6.910545361,0,0 +11017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.48343787,-4.658001278,0,0 +11019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.2265823,-5.532730495,0,0 +11018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.64629474,-3.798724757,0,0 +11013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.37816384,-7.580177087,0,0 +11020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.23866268,-5.389176345,0,0 +11022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.3527405,-6.774540023,0,0 +11023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.65134307,-7.885803101,0,0 +11024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.02539744,-5.838796229,0,0 +11021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.39122774,-7.938702137,0,0 +11025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.38592199,-6.321898964,0,0 +11026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.34831977,-6.713292167,0,0 +11027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.53634509,-6.716421756,0,0 +11028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.15806044,-6.36285906,0,0 +11030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.982180504,-8.322371846,0,0 +11029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.49104397,-3.495054431,0,0 +11031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.40233222,-6.214180163,0,0 +11033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.22642565,-6.586105384,0,0 +11032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.26885466,-6.000109529,0,0 +11035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.3195605,-5.834708314,0,0 +11034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.991298057,-5.084467292,0,0 +11036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.79792065,-6.334620269,0,0 +11037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.57198963,-7.684909098,0,0 +11038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.091257,-4.365477866,0,0 +11040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.961631803,-3.625621357,0,0 +11039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.60219021,-5.825766461,0,0 +11041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.66839422,-6.079697955,0,0 +11042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.10370893,-5.327980708,0,0 +11043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.2827549,-7.639859888,0,0 +11044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.47470511,-6.878907926,0,0 +11045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.61005408,-4.555717631,0,0 +11048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.13275197,-6.193614684,0,0 +11046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.36100492,-7.474060137,0,0 +11047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.26375455,-8.812776257,0,0 +11050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.7016049,-6.550077307,0,0 +11051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.6120047,-5.583737243,0,0 +11052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.56188437,-3.532052281,0,0 +11049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.29710933,-4.619870277,0,0 +11053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.31661362,-5.259264839,0,0 +11054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.51275378,-6.750033267,0,0 +11056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.51452291,-6.587016885,0,0 +11055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.50477224,-5.658370431,0,0 +11058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.01017489,-4.266813233,0,0 +11061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.22667412,-6.934656488,0,0 +11057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.39087365,-6.558547133,0,0 +11060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.21777206,-6.680281859,0,0 +11062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.3636135,-6.640709876,0,0 +11059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.0040563,-3.228093436,0,0 +11063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.9043947,-7.084030573,0,0 +11064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.61387578,-4.149816268,0,0 +11065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.70552451,-4.583917077,0,0 +11067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.28442307,-5.04699474,0,0 +11066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.78555795,-8.457327965,0,0 +11070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.71777539,-5.061038519,0,0 +11071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.50602135,-7.851988891,0,0 +11069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.64824456,-5.031311816,0,0 +11068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.57653063,-4.261368225,0,0 +11072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.00345222,-5.295821676,0,0 +11073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.952244564,-6.398165851,0,0 +11075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.49147481,-6.531121614,0,0 +11074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.32758826,-4.975523613,0,0 +11077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.77600025,-5.267731911,0,0 +11078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.52612011,-7.135262268,0,0 +11076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.925359669,-4.496569485,0,0 +11080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.8093545,-6.77213389,0,0 +11081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.1283574,-6.995899704,0,0 +11079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.71651806,-6.221423063,0,0 +11082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.55724945,-7.044318703,0,0 +11083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.05000706,-4.08208164,0,0 +11084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.0365593,-5.279093469,0,0 +11085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.32709007,-8.814829927,0,0 +11086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.20532532,-6.220567449,0,0 +11087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.24679345,-5.635333195,0,0 +11089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.39228286,-5.593457629,0,0 +11088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.18138521,-5.045482027,0,0 +11090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.5763854,-7.297426589,0,0 +11091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.11130488,-5.891944062,0,0 +11092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.15433926,-5.009696062,0,0 +11093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.49631292,-5.754070388,0,0 +11095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.24410821,-6.374181841,0,0 +11094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.81309102,-5.942283841,0,0 +11097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.43041613,-6.028275217,0,0 +11099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.20715045,-6.498159285,0,0 +11098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.956242821,-4.590330715,0,0 +11100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.01705487,-4.84309589,0,0 +11101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.18743248,-5.610749232,0,0 +11103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.02473247,-4.590418984,0,0 +11102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.994815367,-4.242655344,0,0 +11096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.82566327,-6.716637634,0,0 +11105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.43142608,-6.699590481,0,0 +11106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.5808966,-6.149002972,0,0 +11107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.80729635,-7.12682854,0,0 +11104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.37578381,-5.294830769,0,0 +11108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.02917255,-8.513848095,0,0 +11110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.73778531,-8.132990797,0,0 +11109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.79470455,-8.369817278,0,0 +11112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.39331476,-5.536626549,0,0 +11111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.38434012,-7.007657426,0,0 +11113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.63367125,-5.034088279,0,0 +11114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.13389503,-5.473514578,0,0 +11115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.57056673,-3.948140531,0,0 +11116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.02704628,-7.361307416,0,0 +11117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.991366114,-6.46280766,0,0 +11118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.19408598,-5.925359861,0,0 +11119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.28563636,-4.873087059,0,0 +11121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.58148345,-7.095524129,0,0 +11122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.22069813,-6.683874246,0,0 +11120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.960960293,-6.44932573,0,0 +11123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.66183218,-3.95660863,0,0 +11124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.40379321,-7.416338805,0,0 +11125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.78786036,-4.034677732,0,0 +11126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.48709689,-5.280640419,0,0 +11128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.80031308,-6.930458073,0,0 +11127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.76548,-5.173580395,0,0 +11129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.2784481,-5.929674438,0,0 +11131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.2253578,-3.552684828,0,0 +11132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.69235519,-5.664127528,0,0 +11133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.13732245,-4.839953458,0,0 +11130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.77017281,-4.080612535,0,0 +11134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.02527185,-6.772922817,0,0 +11135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.47844336,-5.229503624,0,0 +11136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.52023394,-6.092950155,0,0 +11138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.969706948,-6.824701031,0,0 +11139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.30111424,-6.696242241,0,0 +11140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.21704853,-6.297840971,0,0 +11137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.05862302,-6.022503327,0,0 +11142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.80529596,-5.26209937,0,0 +11141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.17615518,-4.690075088,0,0 +11143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.48361676,-5.371684369,0,0 +11144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.45261118,-5.785206769,0,0 +11146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.25162166,-4.838763037,0,0 +11147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.01458808,-6.9572857,0,0 +11148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.958855231,-6.49064306,0,0 +11145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.992066538,-5.319182423,0,0 +11149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.34470306,-5.286510857,0,0 +11150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.33161622,-5.199323653,0,0 +11152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.29720449,-5.116284099,0,0 +11153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.50107348,-4.881656099,0,0 +11154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.6252401,-8.526162104,0,0 +11151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.36173311,-6.32760221,0,0 +11156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.790479,-7.091587472,0,0 +11157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.71995769,-8.074261336,0,0 +11155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.44293083,-7.968910006,0,0 +11159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.00826409,-5.03643784,0,0 +11158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.07338197,-6.459387228,0,0 +11161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.39889126,-6.525485362,0,0 +11160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.40881218,-6.453654917,0,0 +11163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.39366673,-4.515355506,0,0 +11165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.33946729,-5.944952966,0,0 +11164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.5339071,-5.971597425,0,0 +11162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.11515152,-6.62050776,0,0 +11167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.55049442,-5.44572047,0,0 +11166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.12121548,-6.572747592,0,0 +11169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.59455423,-6.630339112,0,0 +11170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.82059335,-5.370302606,0,0 +11171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.05805468,-6.55486812,0,0 +11172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.31904577,-6.205600588,0,0 +11168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.03271361,-8.376110986,0,0 +11174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.20046368,-6.053466651,0,0 +11173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.57793204,-5.331133742,0,0 +11176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.49374995,-5.675729217,0,0 +11175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.34533604,-6.683319234,0,0 +11177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.14544703,-5.969720351,0,0 +11179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.953301224,-5.473797594,0,0 +11180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.56586213,-5.14858184,0,0 +11181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.15562183,-6.32330162,0,0 +11183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.605568,-4.172598996,0,0 +11178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.949938509,-6.525499645,0,0 +11184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.74664791,-6.256120687,0,0 +11185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.22408494,-6.47566821,0,0 +11186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.33011445,-5.912631095,0,0 +11182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.40400203,-6.431400239,0,0 +11187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.22284592,-6.600864113,0,0 +11188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.23927489,-5.06299568,0,0 +11189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.33524755,-7.592740147,0,0 +11190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.41892909,-7.64845596,0,0 +11192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.79189878,-6.494690129,0,0 +11191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.2121315,-4.519814249,0,0 +11193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.69335786,-6.223713862,0,0 +11195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.974571523,-5.284338243,0,0 +11196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.37724789,-6.197270301,0,0 +11197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.08386401,-6.558126369,0,0 +11194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.77889074,-4.433683897,0,0 +11198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.70464394,-8.839251254,0,0 +11199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.71754179,-3.445740583,0,0 +11200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.46571758,-4.38222921,0,0 +11202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.971523902,-5.037540137,0,0 +11203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.04054338,-5.913112173,0,0 +11204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.25072257,-5.545700541,0,0 +11206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.0428722,-7.319286195,0,0 +11207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.24149689,-7.049000982,0,0 +11201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.19544259,-4.983207725,0,0 +11205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.42613677,-3.715636193,0,0 +11208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.40221784,-6.343250965,0,0 +11209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.29990559,-6.71076566,0,0 +11211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.61088513,-5.884095522,0,0 +11210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.19208606,-5.476776951,0,0 +11214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.34331405,-4.811877118,0,0 +11213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.4642004,-5.268434723,0,0 +11212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.10980926,-6.703883941,0,0 +11216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.14595602,-4.971745124,0,0 +11215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.57496194,-11.0270087,0,0 +11217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.1819717,-4.888723719,0,0 +11218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.14744038,-4.891814909,0,0 +11220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.5914905,-7.872459139,0,0 +11221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.23171739,-5.008655531,0,0 +11219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.17560326,-8.197665415,0,0 +11223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.17174996,-6.443562342,0,0 +11222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.21024702,-6.556059395,0,0 +11225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.33384222,-9.377434203,0,0 +11224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.39074819,-5.855453022,0,0 +11226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.04309012,-6.967057205,0,0 +11228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.12551724,-5.76586445,0,0 +11227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.71415981,-5.783922248,0,0 +11229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.6917241,-7.257126562,0,0 +11230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.65907717,-2.516804889,0,0 +11231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.52448169,-6.569777952,0,0 +11232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.981821517,-7.267163678,0,0 +11234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.30541764,-5.456940565,0,0 +11236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.78854882,-7.010638163,0,0 +11235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.30639585,-4.958391714,0,0 +11237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.82417985,-6.481562675,0,0 +11233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.928109827,-4.993375731,0,0 +11238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.03607272,-7.511837574,0,0 +11239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.80446082,-4.659060906,0,0 +11240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.46003323,-3.882710702,0,0 +11241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.09716251,-3.89014122,0,0 +11243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.27001262,-5.133712966,0,0 +11244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.86500532,-9.251524309,0,0 +11242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.70789592,-7.125865596,0,0 +11245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.44965366,-7.274098256,0,0 +11246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.58187079,-6.660652875,0,0 +11247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.07571296,-4.775987344,0,0 +11248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.21409166,-8.173703788,0,0 +11249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.26914807,-5.824316622,0,0 +11250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.23551589,-7.653613021,0,0 +11251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.62710643,-4.539615243,0,0 +11252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.57315236,-5.662544226,0,0 +11255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.14653522,-4.502151161,0,0 +11254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.03472055,-7.246880618,0,0 +11253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.12659847,-7.531320425,0,0 +11256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.56840795,-6.203612959,0,0 +11258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.28641353,-5.050863768,0,0 +11257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.63106023,-5.220160693,0,0 +11260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.63347347,-6.59856079,0,0 +11259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.16981885,-6.017184722,0,0 +11261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.56134465,-6.466908989,0,0 +11262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.52588222,-5.847094035,0,0 +11263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.58555594,-7.065478387,0,0 +11264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.13022673,-7.378890383,0,0 +11265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.00963476,-3.854242552,0,0 +11266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.36601804,-5.763159045,0,0 +11267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.7054287,-6.614401515,0,0 +11268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.5429977,-7.249766998,0,0 +11270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.958584841,-5.856953234,0,0 +11271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.76023862,-5.373138618,0,0 +11269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.62996386,-9.189259813,0,0 +11273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.68955011,-5.132145494,0,0 +11272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.55876837,-6.648902548,0,0 +11274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.24011209,-6.215845403,0,0 +11275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.14002476,-5.353703654,0,0 +11276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.17493343,-5.323193091,0,0 +11277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.20599747,-5.805591368,0,0 +11279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.64505901,-6.705003116,0,0 +11278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.25242449,-5.401207917,0,0 +11281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.09992911,-5.993920077,0,0 +11282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.55350128,-6.710272362,0,0 +11283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.29397283,-6.647922974,0,0 +11280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.76386038,-7.206613617,0,0 +11284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.13465879,-6.589415812,0,0 +11285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.43504914,-7.057812577,0,0 +11286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.32677956,-8.781147667,0,0 +11287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.15339244,-4.712211061,0,0 +11288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.42656409,-5.860373176,0,0 +11289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.69646372,-5.395082395,0,0 +11291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.79549453,-6.628322236,0,0 +11290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.42807677,-3.125405461,0,0 +11293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.12507263,-5.228099488,0,0 +11292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.16542163,-9.06051083,0,0 +11294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.34049348,-6.895352704,0,0 +11296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.07744215,-5.791476343,0,0 +11295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.09186134,-8.573285369,0,0 +11297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.2467574,-7.238618896,0,0 +11298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.03001266,-6.439191962,0,0 +11299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.44693058,-7.594001153,0,0 +11300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.39878271,-6.324714718,0,0 +11301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.35687847,-4.974749045,0,0 +11302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.0152712,-5.672844061,0,0 +11303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.56198868,-6.097232791,0,0 +11305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.961233974,-6.063514247,0,0 +11306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.75921451,-6.123793374,0,0 +11307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.64670405,-5.362408717,0,0 +11309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.6356628,-8.217307866,0,0 +11304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.24236263,-5.308381357,0,0 +11308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.42965757,-5.415090858,0,0 +11310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.75464241,-5.681449237,0,0 +11312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.63164391,-6.022053658,0,0 +11313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.00727489,-6.412329076,0,0 +11311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.44288431,-7.068681088,0,0 +11315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.57095982,-6.89703474,0,0 +11316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.77821962,-4.971700243,0,0 +11314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.22753396,-6.906287253,0,0 +11317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.69166283,-4.758449929,0,0 +11318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.48921407,-5.674553526,0,0 +11319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.51022539,-6.675821172,0,0 +11320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.12399838,-5.794096167,0,0 +11321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.0724843,-5.440702352,0,0 +11322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.985256226,-6.351152496,0,0 +11324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.27327377,-6.230672936,0,0 +11325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.02179822,-6.399328503,0,0 +11326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.1068792,-3.359223948,0,0 +11323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.31672161,-4.704537073,0,0 +11327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.33402776,-6.214766737,0,0 +11328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.64608365,-3.908585167,0,0 +11329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.02385108,-5.202978531,0,0 +11330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.65559345,-5.488628523,0,0 +11331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.31453043,-5.525333453,0,0 +11332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.55447036,-5.633620828,0,0 +11333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.7789623,-6.735039699,0,0 +11335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.16392521,-4.338650858,0,0 +11334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.24747035,-5.267699619,0,0 +11336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.68484141,-6.265418412,0,0 +11337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.62441554,-5.210370474,0,0 +11338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.920249973,-7.38965415,0,0 +11339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.44951373,-5.6932391,0,0 +11340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.25400361,-7.623216023,0,0 +11341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.19114996,-4.842896807,0,0 +11342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.57407608,-6.159673901,0,0 +11344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.07425061,-6.59278688,0,0 +11343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.6452155,-4.857335094,0,0 +11345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.31312584,-7.068969997,0,0 +11346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.00242318,-8.808303321,0,0 +11347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.62038274,-5.064263762,0,0 +11349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.06977882,-4.713036707,0,0 +11348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.71222858,-4.953836514,0,0 +11350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.976978492,-6.539241622,0,0 +11351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.21628329,-5.405561067,0,0 +11354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.61174385,-7.445480213,0,0 +11352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.24962776,-7.269923975,0,0 +11353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.33854191,-9.9463245,0,0 +11355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.70481416,-3.830616568,0,0 +11356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.64524749,-7.441894801,0,0 +11357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.64618437,-4.380147314,0,0 +11358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.06366291,-4.347393663,0,0 +11359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.29615273,-6.891269628,0,0 +11360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.33553467,-4.946688763,0,0 +11362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.78967552,-4.835244105,0,0 +11361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.58253663,-6.23627729,0,0 +11363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.5849501,-6.158275676,0,0 +11364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.8425929,-8.089541321,0,0 +11366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.50569286,-7.418667469,0,0 +11365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.52106837,-5.959178818,0,0 +11367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.66331336,-5.866436302,0,0 +11368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.64681322,-6.98716163,0,0 +11369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.23928883,-6.03387919,0,0 +11370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.926720191,-6.969283098,0,0 +11371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.60992901,-5.515785492,0,0 +11372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.16330396,-5.02684333,0,0 +11373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.15893679,-3.904121266,0,0 +11375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.51502164,-5.068049024,0,0 +11374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.6382352,-8.113198875,0,0 +11376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.28635515,-8.556114003,0,0 +11377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.48307089,-9.970229453,0,0 +11378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.07680476,-5.736971368,0,0 +11379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.20999452,-6.766118758,0,0 +11380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.25669876,-4.707861092,0,0 +11381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.22283172,-6.261825483,0,0 +11382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.51119609,-4.076388722,0,0 +11383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.74552834,-6.324500561,0,0 +11385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.33140793,-7.603179826,0,0 +11384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.0541073,-4.062512536,0,0 +11388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.56048052,-6.934311709,0,0 +11389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.13086977,-3.972976249,0,0 +11386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.36876034,-5.593478383,0,0 +11390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.03822002,-6.37825296,0,0 +11391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.57561258,-5.226686157,0,0 +11387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.11558555,-4.093161218,0,0 +11392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.52150087,-5.658518945,0,0 +11393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.49866868,-6.744541555,0,0 +11394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.36917349,-7.711284927,0,0 +11395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.54684433,-5.302666896,0,0 +11397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.32356517,-6.61769371,0,0 +11398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.08005142,-5.673317341,0,0 +11396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.34507059,-7.007378307,0,0 +11399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.01865242,-3.336684972,0,0 +11400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.985555627,-7.321611272,0,0 +11401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.18595823,-6.616670028,0,0 +11402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.36145448,-7.415567023,0,0 +11403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.51995209,-4.959765427,0,0 +11405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.51680193,-5.158126988,0,0 +11404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.27246042,-7.854031879,0,0 +11407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.78924677,-4.178401931,0,0 +11406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.5454462,-7.732227588,0,0 +11409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.77504984,-6.469570854,0,0 +11410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.44365612,-6.528656607,0,0 +11411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.68331435,-5.88111259,0,0 +11408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.79474782,-7.949343066,0,0 +11413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.5958518,-5.827888477,0,0 +11415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.975900641,-5.528332338,0,0 +11414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.22853453,-5.164528694,0,0 +11417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.29760166,-3.907452201,0,0 +11412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.40222587,-4.854659893,0,0 +11416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.41443363,-7.700128902,0,0 +11418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.58921091,-5.449357714,0,0 +11419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.1745947,-5.185630056,0,0 +11420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.60784342,-5.3628235,0,0 +11421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.37145865,-6.616816994,0,0 +11422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.00248141,-6.599601307,0,0 +11423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.24590034,-4.626564297,0,0 +11425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.72625649,-7.268795884,0,0 +11424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.954877334,-8.921414931,0,0 +11426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.35017525,-6.674247051,0,0 +11427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.61791983,-7.083546149,0,0 +11428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.11899526,-7.743372645,0,0 +11429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.41333401,-2.654717706,0,0 +11431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.62969484,-6.1979417,0,0 +11430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.54368543,-6.604017103,0,0 +11433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.48327117,-4.604626179,0,0 +11434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.970231402,-5.500732372,0,0 +11436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.64784087,-3.914499777,0,0 +11432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.6645932,-6.960405554,0,0 +11435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.04242782,-6.597397476,0,0 +11437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.32989258,-7.178819403,0,0 +11439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.65257721,-8.171646207,0,0 +11438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.40756055,-4.504465759,0,0 +11440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.56507303,-4.738682673,0,0 +11441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.50137138,-6.165368624,0,0 +11442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.49901179,-5.585447948,0,0 +11443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.55287899,-4.709070748,0,0 +11445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.38031305,-7.916991835,0,0 +11447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.937233636,-6.036805206,0,0 +11444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.20239997,-4.524496008,0,0 +11446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.73608106,-7.787610644,0,0 +11449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.966321521,-5.423800716,0,0 +11450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.28936324,-4.594256857,0,0 +11448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.68679084,-6.725449102,0,0 +11451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.58535691,-6.097760011,0,0 +11452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.12185879,-7.046291505,0,0 +11453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.02375394,-5.691119164,0,0 +11455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.32719941,-5.71181556,0,0 +11454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.69042769,-9.133717192,0,0 +11458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.1947786,-4.130493057,0,0 +11457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.13631212,-5.934230025,0,0 +11459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.14557567,-5.344958042,0,0 +11456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.22182586,-4.376493596,0,0 +11462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.77926523,-4.83384297,0,0 +11461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.63127731,-6.049120899,0,0 +11460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.63011122,-6.974362888,0,0 +11464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.47702241,-5.794718072,0,0 +11463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.26978657,-4.803743641,0,0 +11465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.65778132,-7.008974965,0,0 +11466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.1920253,-5.789770088,0,0 +11467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.07588148,-5.259634476,0,0 +11468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.52530708,-6.703718102,0,0 +11469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.47711108,-7.362665391,0,0 +11470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.8030557,-6.265389967,0,0 +11471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.4973925,-6.030802038,0,0 +11474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.52393711,-4.927697132,0,0 +11472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.17809965,-3.119521755,0,0 +11473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.51325136,-7.126638171,0,0 +11475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.27803035,-6.344374063,0,0 +11476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.35513973,-7.313752358,0,0 +11477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.3677106,-4.280251233,0,0 +11478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.07379762,-6.69849591,0,0 +11479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.36942667,-5.711823169,0,0 +11480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.45643441,-8.310553247,0,0 +11482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.033382,-5.021333166,0,0 +11481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.10732243,-5.672551154,0,0 +11483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.40861734,-6.789647034,0,0 +11485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.6672555,-6.94256252,0,0 +11486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.56527336,-5.43335303,0,0 +11487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.17071239,-5.793586588,0,0 +11484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.25020964,-6.104187708,0,0 +11489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.8158751,-6.420667824,0,0 +11490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.83168454,-8.424445108,0,0 +11491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.51793916,-7.311947953,0,0 +11488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.51774639,-7.499857448,0,0 +11492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.32430821,-7.002648208,0,0 +11493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.0710405,-7.000486284,0,0 +11495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.00461397,-5.914413721,0,0 +11494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.63314366,-6.018663249,0,0 +11496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.19093201,-5.9960708,0,0 +11498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.988045378,-4.478342482,0,0 +11499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.77119285,-5.334115547,0,0 +11500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.15875169,-5.001390399,0,0 +11497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.35552182,-6.208826335,0,0 +11501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.74050241,-7.158773885,0,0 +11503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.51130002,-6.453753713,0,0 +11504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.12745151,-7.74897902,0,0 +11502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.36138306,-5.176124976,0,0 +11505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.997996668,-5.392249012,0,0 +11506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.03562325,-5.013151655,0,0 +11507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.48681323,-5.628024257,0,0 +11509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.68978992,-6.126103226,0,0 +11508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.80250919,-5.951842701,0,0 +11510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.986160382,-7.1680945,0,0 +11512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.15761633,-6.609024801,0,0 +11511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.71617555,-6.984543857,0,0 +11513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.15852521,-6.256667016,0,0 +11514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.70402562,-6.269086281,0,0 +11515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.00102018,-5.566672213,0,0 +11517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.04076821,-4.23324841,0,0 +11518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.949184535,-5.96526352,0,0 +11516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.23836916,-8.534575062,0,0 +11519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.64385759,-7.403226343,0,0 +11520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.04739553,-7.386134072,0,0 +11521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.77719626,-6.680552384,0,0 +11522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.82051725,-6.033630077,0,0 +11523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.25340276,-6.463850375,0,0 +11524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.06323603,-5.141418275,0,0 +11526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.27477922,-6.121561343,0,0 +11525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.02232885,-5.712263259,0,0 +11529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.975125357,-3.265820111,0,0 +11527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.3362768,-5.200173083,0,0 +11528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.48662262,-6.292127426,0,0 +11530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.36836191,-5.170120414,0,0 +11533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.44543518,-7.348377957,0,0 +11531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.62041564,-5.209953986,0,0 +11535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.37273285,-4.935138165,0,0 +11532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.7485593,-5.801636646,0,0 +11536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.934233145,-3.8496113,0,0 +11534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.899015469,-7.310184531,0,0 +11537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.11256301,-6.556885036,0,0 +11538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.1394972,-4.310479851,0,0 +11539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.992718172,-5.655352626,0,0 +11540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.28889296,-5.5441485,0,0 +11542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.07871181,-6.668947536,0,0 +11541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.51453986,-6.857659612,0,0 +11544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.04614007,-4.396774373,0,0 +11543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.12793999,-6.44953135,0,0 +11545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.56374724,-4.634686254,0,0 +11547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.2588098,-6.990503192,0,0 +11548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.43366984,-7.324999855,0,0 +11550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.44173792,-6.021166103,0,0 +11549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.08641086,-6.326485445,0,0 +11551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.35714848,-7.967021752,0,0 +11546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.32655034,-5.039846001,0,0 +11552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.54963941,-6.624442089,0,0 +11553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.18942136,-6.907213296,0,0 +11554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.38221434,-7.225866407,0,0 +11557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.57344095,-5.462130592,0,0 +11555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.1215557,-6.279200377,0,0 +11556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.60751811,-2.573928017,0,0 +11559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.4131175,-6.782926726,0,0 +11558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.59042746,-5.072599135,0,0 +11561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.22421844,-6.954481717,0,0 +11562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.72857244,-10.34002395,0,0 +11564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.29314657,-5.9678236,0,0 +11563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.42328139,-5.794033152,0,0 +11560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.51639518,-5.410345194,0,0 +11565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.02162341,-6.133356252,0,0 +11567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.1874531,-6.871102612,0,0 +11568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.63754627,-3.223233577,0,0 +11566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.79678928,-5.143544117,0,0 +11569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.76322279,-5.203107585,0,0 +11571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.26593397,-7.219392827,0,0 +11572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.13817872,-5.693580119,0,0 +11573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.57037113,-7.870053013,0,0 +11570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.55061912,-5.328201821,0,0 +11574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.4206264,-6.027443522,0,0 +11575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.5161072,-7.615080261,0,0 +11576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.56044564,-8.859575606,0,0 +11577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.42637413,-6.559337227,0,0 +11580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.27491738,-7.626684878,0,0 +11579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.69681646,-5.540498156,0,0 +11581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.65953204,-7.393493394,0,0 +11578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.40130118,-7.027657409,0,0 +11582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.03302859,-7.319929472,0,0 +11583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.973288978,-3.538375719,0,0 +11585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.33180905,-6.940833173,0,0 +11586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.35007521,-6.039492051,0,0 +11584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.978689747,-5.563305542,0,0 +11587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.0220594,-6.59198132,0,0 +11589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.7277285,-7.354030182,0,0 +11592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.8820999,-7.828834325,0,0 +11588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.03645786,-4.72341709,0,0 +11590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.79876295,-6.349286329,0,0 +11595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.32940564,-6.005743799,0,0 +11593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.81536858,-6.677137445,0,0 +11594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.71338127,-5.724689041,0,0 +11591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.58275949,-6.029364437,0,0 +11596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.60287031,-5.503458889,0,0 +11599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.20283407,-3.663414864,0,0 +11597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.6788528,-3.594016618,0,0 +11598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.56629303,-6.431628693,0,0 +11600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.49614615,-7.552976658,0,0 +11602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.45808687,-4.567572257,0,0 +11603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.62856741,-4.924671694,0,0 +11604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.99868261,-6.699974491,0,0 +11606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.01547424,-8.239780751,0,0 +11608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.81939161,-7.325115736,0,0 +11609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.43135731,-7.216888653,0,0 +11607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.943253158,-4.45587736,0,0 +11601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.06341844,-6.660924884,0,0 +11611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.15117859,-6.452510345,0,0 +11610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.466583,-4.756404274,0,0 +11605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.68817802,-7.382639256,0,0 +11612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.62384513,-5.654346416,0,0 +11613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.35757311,-7.700311117,0,0 +11615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.28043283,-3.973854226,0,0 +11614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.23269804,-5.681459013,0,0 +11616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.10328475,-6.323552954,0,0 +11618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.30597658,-4.878669867,0,0 +11619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.59292316,-6.268610745,0,0 +11620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.11393602,-6.970994695,0,0 +11621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.46115668,-5.879391848,0,0 +11622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.7286995,-6.221154748,0,0 +11623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.31406465,-10.08101296,0,0 +11617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.21921811,-6.515856141,0,0 +11626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.41107186,-7.984867655,0,0 +11624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.05699919,-6.788817157,0,0 +11625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.71195827,-5.960948014,0,0 +11627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.01998015,-6.414117511,0,0 +11629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.51398744,-5.895564641,0,0 +11628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.46386782,-6.367851243,0,0 +11631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.3415388,-7.042352236,0,0 +11630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.82448303,-6.594083405,0,0 +11633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.71446773,-7.02151684,0,0 +11632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.33916524,-5.714790124,0,0 +11635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.76845163,-8.089956532,0,0 +11634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.07741678,-5.479715717,0,0 +11636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.48741928,-4.746626095,0,0 +11637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.07701872,-8.808748646,0,0 +11639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.52717417,-5.700368921,0,0 +11638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.20202555,-7.958176529,0,0 +11641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.06659834,-6.164145388,0,0 +11642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.42165932,-7.137513988,0,0 +11640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.80413847,-4.771200602,0,0 +11643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.26482422,-8.412337847,0,0 +11645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.06313597,-5.960381868,0,0 +11644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.6759074,-6.254551983,0,0 +11647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.42878771,-5.803336211,0,0 +11648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.59878075,-6.591088378,0,0 +11646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.32628134,-6.682737714,0,0 +11649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.30575051,-4.53376836,0,0 +11652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.74601957,-7.37618084,0,0 +11651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.16793383,-9.07552021,0,0 +11650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.30519347,-6.176915423,0,0 +11653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.31042483,-6.716417142,0,0 +11655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.08543609,-5.270957614,0,0 +11656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.16406293,-8.557117309,0,0 +11657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.09582914,-5.21397399,0,0 +11654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.35607932,-7.350489876,0,0 +11658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.28268681,-5.674259465,0,0 +11659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.966309513,-4.410859846,0,0 +11662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.17740971,-6.438863703,0,0 +11660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.33509465,-7.224986851,0,0 +11663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.19801379,-5.452867093,0,0 +11664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.04096678,-5.804198666,0,0 +11661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.18330147,-4.151308697,0,0 +11665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.08178454,-4.670075709,0,0 +11666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.14756071,-5.125270642,0,0 +11667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.67031743,-5.983546411,0,0 +11668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.87616222,-6.030985557,0,0 +11670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.02978368,-7.742820724,0,0 +11671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.923616008,-5.429480887,0,0 +11669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.26510105,-7.616400818,0,0 +11672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.39627553,-5.900315309,0,0 +11673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.935675485,-5.083907266,0,0 +11676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.23079729,-5.356352467,0,0 +11675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.69040862,-5.553020059,0,0 +11674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.12102386,-5.433230269,0,0 +11678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.04645351,-5.235103288,0,0 +11677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.44908608,-7.743965123,0,0 +11681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.22591222,-6.049853292,0,0 +11682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.61337467,-5.78135358,0,0 +11683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.28168748,-6.960373668,0,0 +11680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.00678202,-5.564340929,0,0 +11684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.2559187,-7.578004087,0,0 +11686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.37856567,-7.527432347,0,0 +11685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.43976887,-7.131821894,0,0 +11687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.40225312,-6.62556208,0,0 +11688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.39022207,-5.16801162,0,0 +11689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.20791311,-6.5590165,0,0 +11690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.6010934,-7.23610531,0,0 +11691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.46889461,-5.264264476,0,0 +11679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.19819112,-6.067125495,0,0 +11692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.48121497,-5.555954715,0,0 +11694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.47942083,-7.195109436,0,0 +11693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.34370782,-5.172208586,0,0 +11695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.30650087,-7.28880309,0,0 +11696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.58072061,-7.447564765,0,0 +11697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.896862652,-6.666816306,0,0 +11699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.83305222,-6.490399689,0,0 +11700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.73360706,-6.627028932,0,0 +11698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.56974954,-7.447304472,0,0 +11701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.38658063,-4.199725117,0,0 +11703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.16627236,-4.988353005,0,0 +11702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.07756026,-6.441271534,0,0 +11705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.06110337,-5.083931198,0,0 +11707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.3987195,-5.937131779,0,0 +11709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.61371384,-5.545760536,0,0 +11708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.40181702,-7.253737216,0,0 +11706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.52087565,-6.812934206,0,0 +11710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.10832307,-6.018812348,0,0 +11704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.18191573,-6.840796679,0,0 +11711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.62713489,-5.126949296,0,0 +11712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.5662795,-6.454822343,0,0 +11713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.8383173,-9.017018913,0,0 +11714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.30207425,-3.306968357,0,0 +11716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.08436745,-6.637677242,0,0 +11718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.14562489,-6.086311029,0,0 +11717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.73241218,-6.683192006,0,0 +11715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.09771584,-7.589484098,0,0 +11721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.35747796,-5.538160687,0,0 +11719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.69691975,-8.141067085,0,0 +11722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.12757197,-7.135714522,0,0 +11720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.20787179,-5.066812563,0,0 +11723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.61528463,-6.437948035,0,0 +11726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.69835756,-7.450212671,0,0 +11725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.82861325,-6.124485254,0,0 +11724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.43883497,-8.264759379,0,0 +11728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.77380675,-6.445711937,0,0 +11729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.6066573,-6.016155606,0,0 +11727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.74787249,-6.17725912,0,0 +11730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.41786075,-6.058880402,0,0 +11734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.72798413,-3.580812583,0,0 +11733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.66029126,-5.631093675,0,0 +11732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.54368419,-5.467710432,0,0 +11731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.70986024,-6.946033022,0,0 +11736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.67641894,-5.719658209,0,0 +11737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.30835327,-4.604594044,0,0 +11735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.06571207,-4.786775639,0,0 +11741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.36091889,-5.861521444,0,0 +11738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.4298691,-6.041691381,0,0 +11740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.62259153,-6.648755199,0,0 +11742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.61796709,-7.712814658,0,0 +11739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.5924123,-4.035471008,0,0 +11743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.29480652,-6.30140883,0,0 +11744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.68496917,-4.277879709,0,0 +11745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.54219004,-6.362454266,0,0 +11748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.967069775,-6.931234135,0,0 +11747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.23500411,-8.039282067,0,0 +11749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.11554154,-6.914144904,0,0 +11746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.80824092,-6.588793515,0,0 +11752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.18030151,-5.894009462,0,0 +11751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.935817549,-5.616783404,0,0 +11754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.22433936,-6.266746879,0,0 +11753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.38645491,-6.92026464,0,0 +11750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.56857195,-6.031988023,0,0 +11755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.6465569,-6.874848168,0,0 +11756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.1655531,-6.152129009,0,0 +11758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.28633112,-4.716076984,0,0 +11759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.04240551,-6.399455203,0,0 +11757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.52163921,-8.701809414,0,0 +11760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.8151887,-5.928618518,0,0 +11761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.0129354,-6.130313363,0,0 +11762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.48679484,-5.113928493,0,0 +11763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.74927682,-6.464393728,0,0 +11764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.31297056,-6.786462235,0,0 +11765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.2191392,-5.313755722,0,0 +11766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.62023909,-7.438775516,0,0 +11767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.03124772,-8.205152322,0,0 +11768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.29649609,-4.269574462,0,0 +11769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.48262598,-3.962741289,0,0 +11772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.29482598,-8.581614029,0,0 +11773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.36553833,-8.675684033,0,0 +11770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.26518117,-4.162666873,0,0 +11774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.61057819,-7.011541789,0,0 +11771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.12499446,-9.332356826,0,0 +11775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.65146459,-6.234069872,0,0 +11776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.58289598,-5.93988638,0,0 +11777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.69322086,-5.845086138,0,0 +11782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.30839471,-5.219703569,0,0 +11781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.43462744,-4.64574256,0,0 +11779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.985904871,-6.400000782,0,0 +11780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.46630837,-5.465129125,0,0 +11778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.14771858,-6.320849745,0,0 +11783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.00271693,-5.858128994,0,0 +11784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.54430321,-8.135426492,0,0 +11785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.57961878,-5.170668976,0,0 +11786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.28365039,-8.828004552,0,0 +11787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.40448047,-4.979995589,0,0 +11788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.75515099,-6.672084867,0,0 +11790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.50967623,-6.475890588,0,0 +11792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.00675066,-3.905900329,0,0 +11789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.64099752,-6.800514123,0,0 +11794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.01864725,-5.18394466,0,0 +11793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.36497516,-7.792077365,0,0 +11791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.74878978,-7.64913072,0,0 +11795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.19275519,-6.445384646,0,0 +11796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.15728376,-9.377745474,0,0 +11797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.07711647,-3.886533991,0,0 +11798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.75456217,-6.568596061,0,0 +11800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.07609515,-6.666963231,0,0 +11801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.62355999,-9.282095471,0,0 +11802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.996027684,-8.028668144,0,0 +11803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.36849331,-6.267835574,0,0 +11804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.63557612,-6.387417181,0,0 +11805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.30991437,-5.648985753,0,0 +11806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.69882389,-6.89111266,0,0 +11799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.36952072,-7.284811285,0,0 +11808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.05757065,-8.132028901,0,0 +11807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.24786934,-3.78531066,0,0 +11810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.78893022,-5.487608286,0,0 +11811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.01932491,-6.08959206,0,0 +11809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.99023314,-4.763155925,0,0 +11813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.37731509,-6.483478254,0,0 +11812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.5095632,-5.106200528,0,0 +11814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.02857034,-7.946504686,0,0 +11817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.76452744,-4.759621751,0,0 +11816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.64212958,-5.509963314,0,0 +11815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.46638687,-5.239873179,0,0 +11818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.79959826,-6.67730765,0,0 +11820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.50014553,-6.071055675,0,0 +11819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.61814172,-6.502296492,0,0 +11821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.945772203,-4.931385632,0,0 +11824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.35375903,-6.393968375,0,0 +11826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.78256628,-6.408834559,0,0 +11823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.74605372,-8.847420355,0,0 +11827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.58022379,-7.618191546,0,0 +11828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.75837347,-3.938995046,0,0 +11822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.1641379,-4.618839064,0,0 +11825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.04296005,-8.206162025,0,0 +11830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.25190877,-7.417495981,0,0 +11832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.34020018,-4.677517046,0,0 +11833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.82155885,-6.187990611,0,0 +11831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.01637046,-4.892753587,0,0 +11836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.10078933,-2.643696675,0,0 +11835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.973789691,-6.682933952,0,0 +11829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.70222229,-5.502110592,0,0 +11834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.01325486,-5.581535765,0,0 +11837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.7054694,-5.030462162,0,0 +11838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.40274592,-7.353891184,0,0 +11839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.02084916,-5.868875861,0,0 +11840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.69953891,-6.628802674,0,0 +11843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.52197408,-3.780742169,0,0 +11841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.55494239,-5.965226868,0,0 +11844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.945973786,-5.354304329,0,0 +11845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.989389982,-5.452566775,0,0 +11846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.4910626,-5.23997766,0,0 +11842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.41553481,-8.258390221,0,0 +11847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.994098284,-5.440682959,0,0 +11849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.75588229,-5.322755234,0,0 +11850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.50974533,-6.093830595,0,0 +11848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.67523056,-6.069226388,0,0 +11851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.08655874,-6.373403655,0,0 +11852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.616092,-6.394223507,0,0 +11853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.0836841,-6.39407202,0,0 +11854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.03393328,-6.86297593,0,0 +11855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.32069012,-4.825909769,0,0 +11856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.10578139,-5.08252211,0,0 +11857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.42909093,-7.049451729,0,0 +11858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.02971237,-6.525472537,0,0 +11860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.52365637,-5.024072385,0,0 +11859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.47812263,-7.30972436,0,0 +11861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.77566814,-5.577452624,0,0 +11863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.938990468,-6.523808784,0,0 +11864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.68661405,-5.978835909,0,0 +11862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.30610751,-8.60660578,0,0 +11865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.34113838,-8.812308876,0,0 +11866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.4282134,-5.757907528,0,0 +11870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.29384599,-4.996119863,0,0 +11869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.84098334,-7.669392536,0,0 +11867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.2287294,-5.498567244,0,0 +11872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.69406463,-6.024052295,0,0 +11873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.66662816,-6.164785421,0,0 +11874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.986271812,-4.86860395,0,0 +11871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.769268,-7.999339537,0,0 +11876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.51246099,-5.258955704,0,0 +11875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.68911307,-5.810810774,0,0 +11877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.02309929,-5.002005608,0,0 +11868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.09367963,-7.074484925,0,0 +11879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.33250509,-7.653734146,0,0 +11880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.56520035,-4.293220255,0,0 +11881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.31495361,-5.146844182,0,0 +11882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.31869567,-5.932985252,0,0 +11878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.6020657,-7.282148156,0,0 +11883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.61928819,-7.287548415,0,0 +11885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.5195836,-7.299897151,0,0 +11884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.69085069,-7.646013995,0,0 +11886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.43805953,-7.053025411,0,0 +11887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.39144599,-5.623326775,0,0 +11888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.45903451,-5.018894455,0,0 +11889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.78285823,-3.325721323,0,0 +11891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.32080439,-7.322932401,0,0 +11890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.04085253,-6.594787035,0,0 +11892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.66505083,-5.034373498,0,0 +11893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.27467292,-7.73911396,0,0 +11894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.15513505,-7.822949595,0,0 +11895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.31871327,-5.88086277,0,0 +11896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.24901865,-6.47831413,0,0 +11897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.974901055,-6.052709902,0,0 +11898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.1002377,-6.227527972,0,0 +11901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.00689258,-4.151283415,0,0 +11900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.919361525,-6.326721921,0,0 +11899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.21991586,-5.35692073,0,0 +11903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.01745009,-5.009254003,0,0 +11904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.58794099,-5.162178996,0,0 +11905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.2449592,-7.790406218,0,0 +11906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.970719661,-6.82453228,0,0 +11902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.71209159,-6.081113587,0,0 +11907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.95837658,-7.283303647,0,0 +11908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.36767334,-6.847373856,0,0 +11911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.55178844,-5.702084517,0,0 +11910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.2661959,-8.41500662,0,0 +11909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.01381508,-4.832265912,0,0 +11912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.3411795,-6.584454419,0,0 +11913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.1444361,-7.745249123,0,0 +11914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.68039326,-6.883718419,0,0 +11915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.05030641,-7.555779674,0,0 +11916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.50251437,-8.261068009,0,0 +11917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.897566887,-6.273732656,0,0 +11918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.36132244,-7.595873255,0,0 +11920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.66345382,-7.331180446,0,0 +11921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.68206953,-4.676019843,0,0 +11922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.74432091,-4.971251019,0,0 +11919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.87989441,-5.637779918,0,0 +11923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.49537549,-8.155723914,0,0 +11924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.08321635,-7.056631502,0,0 +11925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.39423756,-7.367757021,0,0 +11926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.16273273,-7.606746869,0,0 +11927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.1581123,-5.330020733,0,0 +11928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.66113668,-7.277958478,0,0 +11929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.08853287,-6.10186452,0,0 +11930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.71968634,-8.884964508,0,0 +11931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.43593407,-7.477612483,0,0 +11932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.63346649,-5.880863054,0,0 +11934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.37277047,-2.957800497,0,0 +11933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.0986667,-8.427249982,0,0 +11935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.79951978,-5.817353862,0,0 +11936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.45699938,-5.481827303,0,0 +11937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.46189037,-7.140085407,0,0 +11938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.62644212,-5.060683876,0,0 +11940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.74843803,-5.590934375,0,0 +11939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.76359159,-6.174033624,0,0 +11941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.19247802,-7.722344077,0,0 +11942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.36812464,-7.856293777,0,0 +11943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.15382977,-4.787431552,0,0 +11944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.17313147,-5.331587318,0,0 +11945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.54094422,-6.460883813,0,0 +11946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.65401584,-6.809900993,0,0 +11947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.81923112,-7.326352203,0,0 +11948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.69801711,-4.448729342,0,0 +11950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.03803284,-7.111406833,0,0 +11949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.09381032,-5.212683912,0,0 +11951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.68413483,-4.948253027,0,0 +11952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.08812106,-4.474451096,0,0 +11953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.23578849,-5.192732525,0,0 +11954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.06698501,-5.982940831,0,0 +11955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.55743555,-7.506268571,0,0 +11958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.44868078,-6.829632411,0,0 +11957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.15106088,-6.694799785,0,0 +11959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.40192413,-4.880727888,0,0 +11961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.02941142,-4.97194274,0,0 +11960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.09120924,-5.879708596,0,0 +11956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.26449815,-5.690321514,0,0 +11963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.19846047,-5.73076421,0,0 +11964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.52749518,-5.142767269,0,0 +11966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.34368834,-6.88359629,0,0 +11965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.35003535,-5.616624514,0,0 +11968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.979445106,-7.42190265,0,0 +11967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.02149347,-6.546781294,0,0 +11969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.51468595,-4.081374696,0,0 +11962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.06562672,-4.209435089,0,0 +11970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.10396591,-5.267952033,0,0 +11972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.18804907,-5.93758115,0,0 +11974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.28475072,-6.253980375,0,0 +11971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.07311111,-6.829029387,0,0 +11975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.55237307,-5.082975945,0,0 +11973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.65918261,-7.307939708,0,0 +11976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.55436015,-6.993083101,0,0 +11977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.17305017,-5.576254388,0,0 +11978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-9.932621539,-6.00117417,0,0 +11979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.73756487,-6.416712928,0,0 +11980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.37084449,-5.544711448,0,0 +11981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.41268397,-8.073110232,0,0 +11983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.71700426,-5.123119116,0,0 +11982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.09215359,-7.425138968,0,0 +11984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.19416234,-6.367973867,0,0 +11985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.24384811,-4.373079291,0,0 +11986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.54191673,-7.146792919,0,0 +11987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.10441103,-6.211076693,0,0 +11988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.50127414,-4.959964914,0,0 +11991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.7620828,-6.234727223,0,0 +11990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.57396318,-5.779147718,0,0 +11989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.69426667,-7.529504651,0,0 +11992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.04773752,-4.003320459,0,0 +11994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.60586965,-7.113819059,0,0 +11993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.55141634,-6.728148682,0,0 +11995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.7763341,-7.004936039,0,0 +11996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.03756435,-5.645898341,0,0 +11998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.80439449,-7.783449124,0,0 +11997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.67743932,-8.468194895,0,0 +11999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.37651425,-8.455286648,0,0 +12000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.55,10,1,-10.62473546,-6.840742923,0,0 +12001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.01145963,-7.951979697,0,0 +12003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.26392191,-6.457249994,0,0 +12004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.40129284,-7.028664686,0,0 +12006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.8301091,-4.711355229,0,0 +12007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.58569095,-7.269371226,0,0 +12008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.47784993,-7.094518758,0,0 +12002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.50650875,-7.528367248,0,0 +12009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.64189114,-8.169699884,0,0 +12005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.60428769,-7.279976732,0,0 +12010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.10629857,-6.905000709,0,0 +12011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.66044453,-5.45745509,0,0 +12012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.37974921,-7.556759753,0,0 +12013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.69193487,-7.557053338,0,0 +12016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.80349878,-7.356248181,0,0 +12015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.66209233,-6.969687696,0,0 +12017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.84966518,-5.112608319,0,0 +12018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.46960569,-7.126589822,0,0 +12019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.60367047,-5.794914583,0,0 +12020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.23741302,-6.63731357,0,0 +12014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.15746073,-6.492251538,0,0 +12021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.3857462,-6.870897246,0,0 +12023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.33148685,-6.219751905,0,0 +12024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.982041325,-5.867671387,0,0 +12022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.57719128,-6.795950779,0,0 +12026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.42894651,-4.80627396,0,0 +12025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.56193678,-3.214268569,0,0 +12028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.51964463,-7.887573848,0,0 +12027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.27586372,-7.064119217,0,0 +12029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.30696647,-5.666057224,0,0 +12031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.57506537,-6.033154585,0,0 +12033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.12835221,-6.650683644,0,0 +12032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.13789974,-8.050313273,0,0 +12034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.16237788,-6.197444764,0,0 +12036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.52282167,-5.077180923,0,0 +12035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.16114989,-5.40269568,0,0 +12030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.32743188,-6.466265772,0,0 +12038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.21630728,-6.762724037,0,0 +12037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.6004837,-5.126666619,0,0 +12039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.79384925,-7.779872246,0,0 +12041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.65912133,-7.653231696,0,0 +12042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.0535913,-5.084715055,0,0 +12043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.54051051,-6.279013238,0,0 +12044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.45461427,-6.745411235,0,0 +12040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.16009616,-7.499095266,0,0 +12045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.24909586,-4.946912313,0,0 +12046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.31199642,-5.813917667,0,0 +12048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.62606841,-8.262922042,0,0 +12047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.90694316,-7.477256346,0,0 +12049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.945828256,-5.908825957,0,0 +12050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.45753015,-5.866430106,0,0 +12051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.09481459,-4.353680299,0,0 +12052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.77994733,-7.803798641,0,0 +12053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.36041893,-7.847772128,0,0 +12055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.32700251,-6.400460829,0,0 +12054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.75800503,-6.535031477,0,0 +12056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.31936452,-6.274113447,0,0 +12057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.65772843,-6.868421616,0,0 +12058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.57862213,-4.560316605,0,0 +12059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.57389721,-4.887777796,0,0 +12061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.01562243,-5.870209873,0,0 +12062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.31698275,-5.554191493,0,0 +12064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.29109996,-6.387465317,0,0 +12060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.01541996,-5.814957557,0,0 +12063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.15992903,-4.493645306,0,0 +12065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.15235271,-4.580553749,0,0 +12066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.51631045,-6.683530141,0,0 +12067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.990001611,-6.974649439,0,0 +12068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.69182358,-8.055921207,0,0 +12069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.14683709,-5.638794028,0,0 +12070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.64630549,-6.786158929,0,0 +12072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.69079032,-7.751698579,0,0 +12071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.44303933,-7.769547605,0,0 +12073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.36190078,-7.223766404,0,0 +12075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.50383056,-6.219441995,0,0 +12074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.56592964,-7.285378826,0,0 +12076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.6329394,-6.696521949,0,0 +12078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.02314411,-5.503754358,0,0 +12077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.49517047,-8.18764091,0,0 +12079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.64028189,-7.152521845,0,0 +12081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.93229528,-8.131890224,0,0 +12082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.19258338,-4.846792646,0,0 +12083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.16634836,-4.931993502,0,0 +12084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.75794679,-6.796418538,0,0 +12085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.11950163,-5.319643718,0,0 +12080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.3787137,-7.529727504,0,0 +12086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.03104205,-6.309522936,0,0 +12089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.41797206,-6.596763939,0,0 +12087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.32992175,-6.751761714,0,0 +12088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.50869428,-5.469021369,0,0 +12091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.71125291,-6.730779337,0,0 +12090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.29041499,-5.802789042,0,0 +12092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.54044253,-5.610448471,0,0 +12094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.05314078,-6.440280991,0,0 +12093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.958613829,-6.040507264,0,0 +12096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.09736975,-5.976241123,0,0 +12097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.79760293,-7.656379699,0,0 +12095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.24963583,-6.573087436,0,0 +12098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.17197004,-6.722965232,0,0 +12099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.29786755,-7.480559037,0,0 +12100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.43224439,-7.237540236,0,0 +12101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.941980853,-6.161713608,0,0 +12104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.37127798,-8.322641102,0,0 +12103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.22397632,-7.952014927,0,0 +12106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.44908435,-9.906515351,0,0 +12102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.52638738,-7.779230359,0,0 +12105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.19506955,-7.990657372,0,0 +12108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.28217613,-6.469401385,0,0 +12109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.40072122,-5.464788093,0,0 +12110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.29788256,-7.20221881,0,0 +12112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.68666614,-8.267585896,0,0 +12111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.877716361,-5.875500067,0,0 +12114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.60961297,-6.870703486,0,0 +12113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.986459882,-4.901902499,0,0 +12116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.67797072,-7.192252727,0,0 +12115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.50872352,-4.198488767,0,0 +12107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.21013092,-6.389314169,0,0 +12117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.82034026,-8.483542965,0,0 +12118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.14687355,-6.920811268,0,0 +12119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.09023513,-8.24011994,0,0 +12120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.45339321,-5.696802915,0,0 +12123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.770801,-7.027163238,0,0 +12122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.63602724,-7.633931513,0,0 +12124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.47599913,-7.866786267,0,0 +12121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.03797678,-7.291383,0,0 +12125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.874655379,-6.776203235,0,0 +12126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.05010715,-7.145821316,0,0 +12128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.84654004,-7.029763591,0,0 +12129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.53724039,-8.826779024,0,0 +12127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.778764,-6.164050026,0,0 +12130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.59965239,-6.224205706,0,0 +12133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.926577593,-6.337339619,0,0 +12132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.63967284,-5.874475905,0,0 +12134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.70116983,-6.781183518,0,0 +12131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.23340247,-8.556211524,0,0 +12137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.00994842,-4.84356876,0,0 +12136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.52071466,-6.588323588,0,0 +12138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.30794991,-6.26697597,0,0 +12139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.31980059,-7.225560217,0,0 +12141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.05250359,-5.863930735,0,0 +12140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.3625638,-5.890969754,0,0 +12135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.63544764,-7.708754366,0,0 +12142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.64708709,-7.070447356,0,0 +12145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.36256743,-7.310177292,0,0 +12143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.30494528,-6.726856882,0,0 +12146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.25047945,-8.88818058,0,0 +12147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.41576281,-8.128467583,0,0 +12144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.11608345,-7.616927972,0,0 +12148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.3718515,-6.054838661,0,0 +12149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.970342615,-5.316403593,0,0 +12150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.15086842,-7.520307448,0,0 +12151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.42901384,-5.641503792,0,0 +12152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.66836354,-7.284622882,0,0 +12154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.28278125,-5.481546749,0,0 +12155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.61186924,-7.635116555,0,0 +12153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.18847799,-5.910302732,0,0 +12156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.4285866,-6.239524366,0,0 +12157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.62970522,-8.387676011,0,0 +12158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.61982574,-7.194788046,0,0 +12159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.18534527,-7.213811048,0,0 +12160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.14736088,-5.664721314,0,0 +12161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.1609552,-7.154313289,0,0 +12163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.74560875,-7.516642727,0,0 +12162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.64878178,-6.965890839,0,0 +12164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.79218566,-7.898537535,0,0 +12165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.74080939,-6.085902852,0,0 +12166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.64940198,-7.687022133,0,0 +12167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.16612726,-8.000046009,0,0 +12170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.0469344,-6.519184088,0,0 +12169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.24189198,-7.430741146,0,0 +12168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.06769844,-3.994577066,0,0 +12172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.11789971,-6.805179978,0,0 +12171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.63857544,-6.068778231,0,0 +12175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.43799812,-6.881870959,0,0 +12176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.67671911,-4.348595527,0,0 +12178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.45127588,-6.132501327,0,0 +12177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.53294527,-5.100938746,0,0 +12173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.62765783,-8.148037576,0,0 +12179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.26057626,-7.329399808,0,0 +12180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.38269048,-7.595110804,0,0 +12181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.33532734,-7.021853884,0,0 +12182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.21409025,-5.73212238,0,0 +12183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.04616756,-6.200095863,0,0 +12174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.11365986,-5.99178258,0,0 +12184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.03081364,-6.192588239,0,0 +12185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.01383679,-6.162314659,0,0 +12186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.52853587,-6.871673845,0,0 +12187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.5419048,-5.007305423,0,0 +12188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.56476008,-8.157777332,0,0 +12189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.41111815,-5.903668608,0,0 +12190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.53754955,-8.984098225,0,0 +12191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.14982141,-7.643164162,0,0 +12192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.22026134,-5.386446574,0,0 +12193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.42180034,-5.491907417,0,0 +12195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.54853837,-5.990261826,0,0 +12194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.67916011,-5.902754013,0,0 +12196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.35206786,-8.807226874,0,0 +12198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.04385554,-6.326888739,0,0 +12197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.12651753,-5.587834743,0,0 +12199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.00895634,-6.214161063,0,0 +12200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.58855486,-6.400909156,0,0 +12201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.43989216,-6.640193576,0,0 +12202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.30040233,-5.278656498,0,0 +12204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.21526404,-8.861474669,0,0 +12205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.896617687,-5.199144219,0,0 +12203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.17454649,-6.992322842,0,0 +12206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.52999247,-7.764309819,0,0 +12208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.42395766,-4.932273839,0,0 +12207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.67741793,-6.740543031,0,0 +12210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.07602644,-3.121340978,0,0 +12211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.18125337,-6.059090431,0,0 +12209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.79898589,-6.831061334,0,0 +12212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.67876459,-5.486896249,0,0 +12213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.04112269,-7.988376798,0,0 +12214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.24199432,-6.714545528,0,0 +12216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.18029987,-6.822480681,0,0 +12217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.78866384,-6.363795325,0,0 +12219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.78902403,-7.088418583,0,0 +12221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.55216856,-7.651049623,0,0 +12218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.16269118,-5.773803067,0,0 +12215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.62005279,-9.59913868,0,0 +12220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.52732244,-6.880178256,0,0 +12223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.41080915,-5.668620973,0,0 +12224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.81515344,-6.442110514,0,0 +12222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.63095269,-5.91849583,0,0 +12225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.37683886,-8.704392415,0,0 +12227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.27292665,-8.13001252,0,0 +12226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.49974045,-6.570980701,0,0 +12228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.50444831,-6.757487818,0,0 +12230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.21518284,-8.254360585,0,0 +12231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.06518276,-6.393316333,0,0 +12232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.38505404,-5.227467017,0,0 +12229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.00002886,-6.908479251,0,0 +12233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.14019915,-7.541721601,0,0 +12236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.63069977,-5.278674683,0,0 +12235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.0674583,-7.821827095,0,0 +12237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.46825214,-6.3972235,0,0 +12238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.70353012,-7.6910352,0,0 +12239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.95214936,-6.337606833,0,0 +12241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.0255529,-6.528180061,0,0 +12234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.55405693,-8.141255949,0,0 +12243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.1060155,-5.097639907,0,0 +12242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.28722764,-6.349002718,0,0 +12244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.6521617,-7.339217783,0,0 +12240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.16127031,-7.625050079,0,0 +12245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.03988648,-7.10040364,0,0 +12246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.48249604,-7.899929805,0,0 +12247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.66661529,-7.426726168,0,0 +12248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.21023651,-6.606795484,0,0 +12250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.0668012,-4.385938482,0,0 +12251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.68308456,-5.073059213,0,0 +12249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.935514255,-3.950325774,0,0 +12253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.61217225,-7.959322596,0,0 +12252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.941035242,-7.51401477,0,0 +12255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.24058327,-7.974939264,0,0 +12256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.31797764,-6.219838901,0,0 +12254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.26962027,-5.869656645,0,0 +12257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.992590433,-5.926470407,0,0 +12258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.26519276,-6.004183398,0,0 +12260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.38508898,-8.124522846,0,0 +12259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.67231158,-7.27373845,0,0 +12262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.06794535,-7.67527547,0,0 +12264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.04984813,-6.002771551,0,0 +12261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.995128769,-6.38753339,0,0 +12263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.935387257,-6.787474215,0,0 +12265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.56490409,-9.162900206,0,0 +12267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.12407525,-3.952846032,0,0 +12268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.31089113,-6.682095875,0,0 +12269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.79449216,-6.574726732,0,0 +12266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.41948404,-4.915294933,0,0 +12271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.983365535,-5.907206208,0,0 +12270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.28738732,-6.401959564,0,0 +12272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.64032596,-5.716888604,0,0 +12273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.66494466,-5.982154009,0,0 +12274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.51898339,-7.023183839,0,0 +12275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.47986226,-8.963101039,0,0 +12276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.29961931,-6.510697264,0,0 +12277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.00181034,-6.589637872,0,0 +12279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.39457617,-6.189240614,0,0 +12278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.981529732,-5.62390628,0,0 +12282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.53706618,-5.526471744,0,0 +12280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.45170612,-6.731892775,0,0 +12281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.07209804,-7.009450063,0,0 +12284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.4259886,-7.620531311,0,0 +12285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.26118781,-6.37297423,0,0 +12283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.05843686,-6.108372805,0,0 +12286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.08147724,-6.65195346,0,0 +12288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.13333249,-7.00070317,0,0 +12289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.58385436,-5.188297667,0,0 +12290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.40392625,-6.557875608,0,0 +12287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.3785493,-6.035396944,0,0 +12291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.05758423,-6.781924295,0,0 +12292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.22496134,-6.368711071,0,0 +12293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.14724211,-5.473028932,0,0 +12294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.55750563,-6.553434589,0,0 +12295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.77697772,-7.237368185,0,0 +12297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.19543095,-5.413724834,0,0 +12296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.66041739,-7.260399584,0,0 +12300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.04987491,-7.183195526,0,0 +12301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.68103346,-6.776224678,0,0 +12299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.31265333,-7.356752099,0,0 +12298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.79720395,-7.593167473,0,0 +12302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.27178759,-6.721913122,0,0 +12305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.0806123,-5.45162281,0,0 +12304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.75002448,-6.18371495,0,0 +12303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.04966449,-7.509009117,0,0 +12308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.18385035,-6.986881076,0,0 +12306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.28911096,-5.182466478,0,0 +12309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.70641912,-7.095255069,0,0 +12310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.25730708,-7.75249944,0,0 +12312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.25679049,-7.01627153,0,0 +12313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.54513746,-5.026774559,0,0 +12314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.51590759,-4.552453311,0,0 +12307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.41128306,-9.088906455,0,0 +12311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.72600679,-6.330229988,0,0 +12315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.953689148,-6.596730707,0,0 +12316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.79717771,-5.086002706,0,0 +12318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.28089204,-7.702721642,0,0 +12319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.36562009,-6.298386744,0,0 +12317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.43862675,-7.684449625,0,0 +12321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.14268678,-5.63927812,0,0 +12322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.69897268,-7.269001152,0,0 +12320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.01855514,-6.805698269,0,0 +12323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.16536049,-4.605794106,0,0 +12325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.71145203,-5.636035426,0,0 +12326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.29456317,-5.831941743,0,0 +12324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.54831036,-5.326768199,0,0 +12327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.51645006,-8.366405103,0,0 +12330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.71810614,-4.674164563,0,0 +12328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.61358391,-8.004299064,0,0 +12331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.31332905,-5.180529097,0,0 +12329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.35664034,-5.119268646,0,0 +12333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.02027119,-7.209464751,0,0 +12332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.66053104,-6.028681179,0,0 +12335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.45890233,-3.885871204,0,0 +12334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.26339479,-5.950888835,0,0 +12336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.23410944,-5.779962762,0,0 +12338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.60894605,-8.671029647,0,0 +12339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.998840402,-4.60603773,0,0 +12337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.49609455,-7.22661208,0,0 +12341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.32223448,-7.119501926,0,0 +12340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.55418856,-4.804447065,0,0 +12342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.22329469,-5.283713393,0,0 +12344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.37905733,-6.415384812,0,0 +12345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.40214345,-7.808398895,0,0 +12346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.62971986,-5.941347049,0,0 +12347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.29503509,-5.362900512,0,0 +12343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.20762481,-7.18074182,0,0 +12349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.33115065,-8.119924316,0,0 +12348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.77949241,-6.469274943,0,0 +12351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.4970429,-7.733009755,0,0 +12352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.36109262,-6.10939235,0,0 +12350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.66873283,-6.248739789,0,0 +12353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.86757468,-7.859039013,0,0 +12354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.65511286,-8.082761203,0,0 +12357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.1525391,-4.594997071,0,0 +12356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.16313906,-8.701452995,0,0 +12355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.47070518,-9.137284327,0,0 +12358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.992547756,-5.421386056,0,0 +12360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.45977159,-7.164887228,0,0 +12361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.52938788,-7.27656651,0,0 +12362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.25922252,-4.998142933,0,0 +12359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.72459013,-6.283190489,0,0 +12363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.56376417,-7.146885419,0,0 +12364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.7599817,-5.599639076,0,0 +12366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.66189899,-6.790231499,0,0 +12367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.45622289,-7.194771805,0,0 +12370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.59201162,-7.653970234,0,0 +12369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.18788702,-7.91085478,0,0 +12371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.18340129,-8.236565588,0,0 +12368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.32814857,-7.877123928,0,0 +12372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.37602199,-5.386257192,0,0 +12365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.59923542,-4.370304044,0,0 +12373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.04184497,-6.242572572,0,0 +12374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.55144865,-4.993197039,0,0 +12376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.37167568,-6.809993793,0,0 +12377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.3009974,-7.73806164,0,0 +12378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.47288737,-5.790101599,0,0 +12379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.839026984,-7.012678455,0,0 +12375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.40740886,-5.23512093,0,0 +12380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.33966843,-5.713535365,0,0 +12381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.40342453,-6.945562443,0,0 +12383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.75229147,-7.441039161,0,0 +12382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.07959456,-6.858855595,0,0 +12385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.57751318,-6.146723371,0,0 +12384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.62005282,-7.410230275,0,0 +12386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.65451282,-5.878355795,0,0 +12387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.24739354,-8.481696886,0,0 +12389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.72921847,-6.622363721,0,0 +12388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.62351731,-6.094968155,0,0 +12391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.13435213,-7.000954194,0,0 +12390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.33745101,-7.851857519,0,0 +12392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.68481393,-6.457500477,0,0 +12393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.59608504,-6.696161323,0,0 +12394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.70319383,-7.771093802,0,0 +12395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.07055346,-5.229552346,0,0 +12396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.23522671,-4.718013659,0,0 +12400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.06141369,-6.972864251,0,0 +12401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.907583425,-6.97282126,0,0 +12399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.998396537,-8.623886816,0,0 +12402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.29060592,-7.89282217,0,0 +12403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.02649712,-6.198882506,0,0 +12404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.24826767,-6.854506618,0,0 +12397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.1057353,-5.539918375,0,0 +12398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.23890368,-7.752004539,0,0 +12405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.56488319,-7.452131246,0,0 +12406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.33352267,-8.098301971,0,0 +12408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.18757306,-8.890355276,0,0 +12410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.29885067,-6.414798845,0,0 +12409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.22785639,-7.495030928,0,0 +12407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.87927018,-6.884195161,0,0 +12412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.20029904,-5.881316061,0,0 +12411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.76985589,-7.722775655,0,0 +12414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.00781203,-7.080427842,0,0 +12413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.56683616,-4.96958268,0,0 +12415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.30446334,-8.44993988,0,0 +12416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.66276792,-10.13420614,0,0 +12418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.7469939,-4.935192232,0,0 +12417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.36945992,-8.310457437,0,0 +12420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.32612635,-5.816532191,0,0 +12419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.25357343,-7.515458256,0,0 +12421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.64195911,-6.851659301,0,0 +12423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.1644767,-7.549225067,0,0 +12422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.55422271,-8.159717361,0,0 +12424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.35834916,-6.511678684,0,0 +12426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.39619591,-6.730995116,0,0 +12428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.41651146,-7.698174914,0,0 +12427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.82906118,-8.14535641,0,0 +12429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.83142719,-7.375912591,0,0 +12431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.39219,-4.081636142,0,0 +12430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.51296766,-6.765897705,0,0 +12425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.32666343,-7.44183789,0,0 +12432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.52566772,-7.459577013,0,0 +12434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.19487651,-5.453384769,0,0 +12435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.33645316,-5.250394456,0,0 +12436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.81729676,-8.510263049,0,0 +12438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.55020904,-5.801123811,0,0 +12439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.20917745,-6.612339166,0,0 +12437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.00391113,-6.186171153,0,0 +12440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.66255431,-6.136240254,0,0 +12433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.40341893,-4.466397709,0,0 +12441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.22575968,-5.627538406,0,0 +12443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.52062882,-5.649579793,0,0 +12442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.00442392,-6.657844872,0,0 +12444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.63021824,-7.9952117,0,0 +12445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.49266454,-5.394335624,0,0 +12447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.10502891,-7.374381659,0,0 +12446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.898369585,-6.748104662,0,0 +12448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.08368229,-7.063877509,0,0 +12450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.46126353,-6.798638367,0,0 +12449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.36413091,-7.829837753,0,0 +12451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.40590979,-4.06813888,0,0 +12452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.1461455,-6.632598901,0,0 +12454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.23862286,-5.354892534,0,0 +12453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.77205423,-8.492671994,0,0 +12455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.3116446,-5.081175952,0,0 +12457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.27527175,-6.812713999,0,0 +12456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.73840072,-7.446629632,0,0 +12459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.47505588,-6.386874844,0,0 +12458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.59501343,-6.698142328,0,0 +12462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.58317044,-8.080895829,0,0 +12461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.29801059,-4.537355766,0,0 +12460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.19809414,-6.140354961,0,0 +12463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.67702027,-7.112635378,0,0 +12464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.8394577,-6.703621956,0,0 +12465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.39004421,-7.171443949,0,0 +12466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.1284468,-7.169921929,0,0 +12469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.47813956,-7.41193179,0,0 +12467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.00909333,-6.584686287,0,0 +12471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.16546696,-4.911090546,0,0 +12470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.46382808,-7.168110313,0,0 +12468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.14641422,-7.674755415,0,0 +12472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.37204463,-7.655421835,0,0 +12473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.71018294,-7.836271467,0,0 +12474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.48399389,-5.937705643,0,0 +12475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.22249812,-5.22405236,0,0 +12476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.54678718,-7.48135071,0,0 +12477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.13386564,-6.743109095,0,0 +12479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.962959316,-7.883344492,0,0 +12480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.31306907,-4.831628057,0,0 +12481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.73152529,-5.795269521,0,0 +12482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.19178831,-7.7057732,0,0 +12483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.60299368,-7.686601025,0,0 +12478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.18111732,-6.031331684,0,0 +12485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.983885512,-6.536022587,0,0 +12484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.18705512,-8.941207834,0,0 +12487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.02256292,-4.838966861,0,0 +12488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.74253733,-6.694873764,0,0 +12489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.27911977,-4.750815322,0,0 +12486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.63838872,-6.149651761,0,0 +12490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.65216269,-7.975652444,0,0 +12491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.44165309,-5.476156335,0,0 +12492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.06066971,-7.154477508,0,0 +12493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.996690341,-4.863444005,0,0 +12494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.13672716,-5.78766111,0,0 +12495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.19226366,-7.011113021,0,0 +12496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.02051873,-6.136717018,0,0 +12497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.11864224,-6.770304311,0,0 +12498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.20014367,-7.287209699,0,0 +12500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.77445979,-5.001878432,0,0 +12501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.23463377,-6.117850324,0,0 +12502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.60377883,-6.06486972,0,0 +12504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.10910664,-6.612674892,0,0 +12503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.04408049,-6.445754246,0,0 +12499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.20330018,-5.819091351,0,0 +12506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.24389603,-5.755301727,0,0 +12505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.37076967,-9.392264017,0,0 +12508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.03311454,-7.733937807,0,0 +12509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.5632533,-7.859127762,0,0 +12507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.27633129,-8.645020913,0,0 +12510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.66219174,-6.763817297,0,0 +12511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.979048944,-6.295759469,0,0 +12512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.07675658,-6.72121383,0,0 +12513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.18091813,-6.968732487,0,0 +12514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.58487181,-6.864558944,0,0 +12515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.74105192,-6.199837185,0,0 +12516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.84153303,-5.992296166,0,0 +12517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.42485507,-4.686200127,0,0 +12518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.08448761,-6.66552332,0,0 +12519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.05528933,-7.777249089,0,0 +12521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.6367512,-5.511049146,0,0 +12523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.7285344,-7.265457652,0,0 +12524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.20677864,-7.37873864,0,0 +12522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.10090102,-5.205613796,0,0 +12526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.33660325,-6.97824407,0,0 +12520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.67238733,-6.000392193,0,0 +12525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.58456731,-5.753825904,0,0 +12528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.38926809,-7.369119287,0,0 +12527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.94410188,-6.994150323,0,0 +12530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.1133459,-5.127142246,0,0 +12529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.37313675,-6.11980549,0,0 +12532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.00105369,-6.803479339,0,0 +12531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.2590862,-6.921815634,0,0 +12533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.587059,-4.562764011,0,0 +12535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.41083898,-7.046157158,0,0 +12534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.66646437,-6.022720338,0,0 +12537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.32371762,-6.483299951,0,0 +12536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.983786381,-4.018226026,0,0 +12539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.72264603,-7.959191227,0,0 +12538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.13528988,-5.163701758,0,0 +12540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.5622447,-6.176020951,0,0 +12542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.49269597,-5.974224279,0,0 +12541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.6403133,-7.226121847,0,0 +12543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.30197575,-6.694781832,0,0 +12544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.18953056,-7.621817274,0,0 +12545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.26170345,-6.441320687,0,0 +12546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.61648181,-8.23492086,0,0 +12547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.14687142,-6.584988395,0,0 +12549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.24440671,-5.249578466,0,0 +12548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.82877712,-3.991624407,0,0 +12550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.19050321,-7.882935989,0,0 +12551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.52300828,-5.763150324,0,0 +12552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.55370098,-5.941737826,0,0 +12553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.38236211,-6.763100732,0,0 +12554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.28204771,-7.840888217,0,0 +12555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.1419871,-6.520106563,0,0 +12556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.06577018,-7.502991267,0,0 +12557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.53839041,-5.385968536,0,0 +12559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.78267986,-7.842465587,0,0 +12560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.19542937,-7.68586112,0,0 +12562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.4692809,-7.390648347,0,0 +12564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.32710158,-7.143601982,0,0 +12561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.77422916,-7.415812007,0,0 +12563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.30397091,-5.156665733,0,0 +12558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.62285285,-7.192911635,0,0 +12565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.3380613,-7.215522806,0,0 +12567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.19097443,-7.556119044,0,0 +12568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.54991016,-8.332717269,0,0 +12569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.59769159,-8.11955748,0,0 +12566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.26130816,-5.342088086,0,0 +12570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.64602707,-7.601012924,0,0 +12571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.0134247,-5.419282646,0,0 +12572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.39314063,-6.099502825,0,0 +12573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.59510821,-8.088301169,0,0 +12574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.97964154,-6.223256887,0,0 +12575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.19913832,-6.445435109,0,0 +12576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.5137047,-7.767933054,0,0 +12577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.09755863,-4.38844033,0,0 +12578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.22096326,-6.064607822,0,0 +12579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.71947018,-5.893433202,0,0 +12580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.985190019,-5.160533116,0,0 +12583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.23074139,-5.001447912,0,0 +12582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.94970112,-8.467257541,0,0 +12584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.44681286,-4.865093223,0,0 +12581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.1613013,-6.915946006,0,0 +12586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.45728282,-6.541903189,0,0 +12588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.19634089,-7.897876227,0,0 +12589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.53989689,-7.448901856,0,0 +12590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.953527335,-4.460947628,0,0 +12591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.15001209,-4.580401191,0,0 +12587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.56664813,-7.53289115,0,0 +12592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.67874721,-7.330926829,0,0 +12593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.10232653,-2.933426907,0,0 +12585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.61041278,-6.033250189,0,0 +12594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.45565328,-7.194764618,0,0 +12595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.76149153,-6.714828829,0,0 +12597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.20534605,-8.2309503,0,0 +12596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.62880154,-6.258143506,0,0 +12598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.21694422,-8.097768787,0,0 +12601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.4838461,-5.689514604,0,0 +12600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.33900996,-8.486365179,0,0 +12602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.1013202,-7.149220957,0,0 +12603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.65377319,-7.168207424,0,0 +12604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.02651478,-7.8650101,0,0 +12605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.61328021,-7.738198086,0,0 +12606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.63710685,-8.304765878,0,0 +12608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.08157454,-7.946872758,0,0 +12609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.95710033,-7.031079376,0,0 +12610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.09352392,-6.83546853,0,0 +12599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.989593862,-6.741918199,0,0 +12611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.59284854,-6.226780314,0,0 +12612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.25787864,-7.831961687,0,0 +12607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.71939393,-7.048627454,0,0 +12613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.47802467,-6.700810193,0,0 +12616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.22418887,-5.951006019,0,0 +12617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.54745149,-7.029858874,0,0 +12618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.23895988,-6.200893633,0,0 +12620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.0099199,-5.802805216,0,0 +12619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.23741621,-6.840867421,0,0 +12615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.04038637,-6.318883687,0,0 +12621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.50460622,-7.726392702,0,0 +12614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.55273208,-7.582285742,0,0 +12622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.978469814,-4.742950232,0,0 +12625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.70132512,-5.434345526,0,0 +12626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.49921173,-5.868121213,0,0 +12624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.00581651,-7.269434079,0,0 +12627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.12145699,-6.627263552,0,0 +12623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.13260546,-5.590848541,0,0 +12629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.79624727,-7.669170942,0,0 +12628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.69997049,-6.793249117,0,0 +12630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.61561467,-9.04664765,0,0 +12632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.28875506,-6.253888434,0,0 +12633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.45787559,-5.387468052,0,0 +12636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.01683982,-6.0005086,0,0 +12631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.35588534,-7.989491799,0,0 +12637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.59779603,-6.581660424,0,0 +12635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.12544058,-3.05929443,0,0 +12634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.28626287,-6.302897084,0,0 +12638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.47933377,-7.688977055,0,0 +12639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.16064104,-5.411252021,0,0 +12640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.29644938,-6.829424489,0,0 +12642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.15674438,-5.423273247,0,0 +12643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.5534497,-6.410089739,0,0 +12641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.82974974,-7.36494104,0,0 +12645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.3140946,-6.213801737,0,0 +12646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.988762422,-6.912662043,0,0 +12647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.65019067,-7.624622779,0,0 +12648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.68798201,-6.378467432,0,0 +12644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.62033411,-6.837452944,0,0 +12650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.25381689,-3.777689112,0,0 +12649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.66564898,-9.541944226,0,0 +12653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.13995129,-5.796827741,0,0 +12651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.18882347,-5.091581861,0,0 +12652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.32231364,-4.07380052,0,0 +12654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.65845783,-7.998974256,0,0 +12655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.26963665,-8.327844919,0,0 +12656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.52952074,-6.737392875,0,0 +12658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.33235668,-4.992459448,0,0 +12657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.37445382,-6.149363981,0,0 +12660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.48238685,-6.739832317,0,0 +12659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.22286269,-8.312212508,0,0 +12663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.19698428,-7.359525601,0,0 +12662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.68974902,-8.061620003,0,0 +12661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.16216515,-7.04499425,0,0 +12666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.26482005,-6.872983084,0,0 +12664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.58859014,-6.853689053,0,0 +12665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.21336977,-6.155578436,0,0 +12667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.51400167,-6.681527684,0,0 +12668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.04275011,-5.737753774,0,0 +12669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.22194752,-7.346428179,0,0 +12670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.913557918,-5.806315751,0,0 +12671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.37870036,-5.437896217,0,0 +12674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.31985464,-4.649356735,0,0 +12676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.41168071,-7.153971478,0,0 +12673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.1209181,-5.809683399,0,0 +12675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.77289108,-8.235980422,0,0 +12678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.10865763,-5.819052393,0,0 +12679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.66833804,-6.779647652,0,0 +12677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.33845643,-8.785683008,0,0 +12681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.34624912,-5.713258797,0,0 +12680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.32839497,-5.440632068,0,0 +12672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.62392435,-6.677211307,0,0 +12683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.60034042,-7.98827087,0,0 +12684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.51833676,-7.224855152,0,0 +12685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.73231751,-7.442278315,0,0 +12686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.09315724,-7.074418009,0,0 +12682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.981294106,-4.49348119,0,0 +12687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.63002037,-5.700620967,0,0 +12688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.51707242,-4.790525918,0,0 +12689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.51314238,-7.026698108,0,0 +12691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.14876661,-6.596135498,0,0 +12693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.12275718,-6.940878712,0,0 +12692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.21738066,-7.152426613,0,0 +12694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.03632039,-5.821560766,0,0 +12695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.38973399,-7.6156237,0,0 +12697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.13486508,-7.885614557,0,0 +12696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.58558467,-8.062892303,0,0 +12698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.7442226,-7.79864032,0,0 +12690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.74519293,-7.011248563,0,0 +12699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.47210628,-7.376287111,0,0 +12700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.49694309,-6.357512869,0,0 +12702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.63537524,-7.119881541,0,0 +12703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.73569253,-7.140596619,0,0 +12704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.12658511,-8.618879362,0,0 +12701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.37675022,-5.993200488,0,0 +12705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.41983567,-7.553767426,0,0 +12707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.61223168,-6.936261007,0,0 +12706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.49290378,-5.006702256,0,0 +12709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.996932804,-6.63318875,0,0 +12710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.72603633,-7.687343713,0,0 +12708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.64370515,-6.006415771,0,0 +12711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.23112495,-8.668882095,0,0 +12713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.87278095,-5.49585737,0,0 +12714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.09501863,-7.568854616,0,0 +12712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.52422404,-6.876748532,0,0 +12715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.79697707,-8.65432779,0,0 +12716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.61078558,-6.101643236,0,0 +12718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.15159079,-6.274493222,0,0 +12717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.42151851,-6.925398184,0,0 +12720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.24945223,-6.443932187,0,0 +12721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.33587087,-7.002160887,0,0 +12719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.06079344,-6.381726646,0,0 +12722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.25073639,-6.030341411,0,0 +12723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.17799826,-7.154889506,0,0 +12724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.06051648,-8.574208821,0,0 +12726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.42342913,-5.90846528,0,0 +12725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.22315405,-5.75967832,0,0 +12728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.63412211,-7.640768,0,0 +12727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.68524992,-6.61369731,0,0 +12729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.39004983,-7.262253212,0,0 +12731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.23550332,-6.184358897,0,0 +12732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.14375271,-6.101989706,0,0 +12730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.48850542,-7.294416305,0,0 +12735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.75916922,-9.370052936,0,0 +12734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.00470115,-7.028705845,0,0 +12736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.63234265,-5.035023652,0,0 +12733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.07920266,-7.143196173,0,0 +12738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.36713239,-9.037765805,0,0 +12737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.10102361,-8.025076405,0,0 +12741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.27885999,-6.226480001,0,0 +12743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.56159669,-7.547861918,0,0 +12739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.39677534,-6.334130069,0,0 +12740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.582896,-5.806234077,0,0 +12744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.09680692,-6.2430803,0,0 +12746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.5315322,-3.749623029,0,0 +12742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.47900571,-5.804756683,0,0 +12745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.22451165,-6.20015742,0,0 +12747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.00462442,-5.987629563,0,0 +12749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.53620598,-7.280432632,0,0 +12748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.20224293,-5.14579374,0,0 +12751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.43160945,-6.651602358,0,0 +12752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.54922097,-7.335607614,0,0 +12753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.956116597,-6.847375782,0,0 +12750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.64566679,-7.039738047,0,0 +12754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.13083057,-6.98015319,0,0 +12757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.78612268,-8.640053943,0,0 +12755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.5006971,-5.417203772,0,0 +12756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.079582,-7.381895359,0,0 +12758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.46139095,-5.649625352,0,0 +12760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.02398313,-7.48940617,0,0 +12762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.54652994,-6.575322859,0,0 +12759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.1735769,-6.624166794,0,0 +12761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.27000443,-5.572311458,0,0 +12763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.943461573,-5.053108217,0,0 +12764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.16666206,-8.719753511,0,0 +12766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.05859916,-6.900653889,0,0 +12765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.05595967,-8.226174969,0,0 +12767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.38247547,-8.075420012,0,0 +12769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.40395928,-4.554254614,0,0 +12768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.20671799,-5.998882173,0,0 +12770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.23351484,-6.578743592,0,0 +12771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.68221232,-5.084728735,0,0 +12772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.52427287,-6.174026747,0,0 +12774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.01679493,-6.741763453,0,0 +12775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.71751424,-7.008751079,0,0 +12773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.43825406,-6.75429805,0,0 +12777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.53734828,-6.916883884,0,0 +12780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.6858232,-7.566109873,0,0 +12779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.32381148,-5.517766934,0,0 +12776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.73778057,-6.707258955,0,0 +12778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.21874464,-7.014093139,0,0 +12781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.56391398,-7.237042148,0,0 +12782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.85901743,-7.721726336,0,0 +12783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.30336734,-7.442704565,0,0 +12784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.27225656,-6.699816353,0,0 +12785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.22757644,-5.428982121,0,0 +12786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.4249128,-6.84270089,0,0 +12788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.23147695,-7.987416467,0,0 +12787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.63739867,-6.376170456,0,0 +12790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.30574168,-6.874863986,0,0 +12792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.37643086,-8.074545577,0,0 +12791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.02686577,-6.346488691,0,0 +12789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.36957531,-6.949505053,0,0 +12793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.43957734,-6.185544177,0,0 +12794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.30614643,-6.955442951,0,0 +12797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.46998301,-7.846571102,0,0 +12795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.964960284,-8.628459481,0,0 +12796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.39527269,-8.197264082,0,0 +12798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.78574057,-8.49450072,0,0 +12799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.18995388,-5.486462159,0,0 +12801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.03379504,-5.430978105,0,0 +12800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.14164146,-5.367373723,0,0 +12802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.78432315,-5.65267916,0,0 +12803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.04744576,-6.959074058,0,0 +12805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.30742505,-7.30207504,0,0 +12804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.69295033,-7.083589414,0,0 +12808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.4004627,-6.763682178,0,0 +12806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.57097094,-7.141182667,0,0 +12809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.28815089,-6.458175694,0,0 +12810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.70208084,-7.172750642,0,0 +12811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.46275123,-6.15010162,0,0 +12807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.74581181,-7.741810406,0,0 +12812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.60982519,-6.257840185,0,0 +12814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.77180924,-7.450578033,0,0 +12813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.14231822,-8.480484824,0,0 +12815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.43243768,-5.927560616,0,0 +12817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.38543514,-7.174629313,0,0 +12819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.36134078,-5.817425215,0,0 +12816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.10718295,-7.429463696,0,0 +12820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.44269003,-4.966882938,0,0 +12821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.28669709,-5.842590869,0,0 +12818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.07508859,-7.285728201,0,0 +12822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.23635038,-7.250857463,0,0 +12823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.28449986,-6.7700069,0,0 +12825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.12961119,-5.768703314,0,0 +12824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.12841509,-7.27798158,0,0 +12827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.32630737,-7.234855698,0,0 +12828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.06826774,-7.356464335,0,0 +12826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.40872978,-7.40941389,0,0 +12829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.63553719,-7.735833662,0,0 +12831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.50812811,-7.330983603,0,0 +12830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.70261297,-6.951965668,0,0 +12833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.1082888,-7.072831497,0,0 +12835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.931233687,-6.449922748,0,0 +12832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.23665741,-6.301959243,0,0 +12834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.73242122,-7.169195005,0,0 +12836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.46544158,-5.178256929,0,0 +12837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.34823559,-7.164875204,0,0 +12838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.36197809,-9.524726536,0,0 +12839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.38892599,-7.199679603,0,0 +12842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.70623327,-5.097145187,0,0 +12843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.26821275,-6.490225661,0,0 +12841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.36718688,-7.591942682,0,0 +12845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.432505,-6.818162395,0,0 +12840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.12753085,-7.605358581,0,0 +12846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.19246334,-6.550447367,0,0 +12844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.40717245,-6.255077865,0,0 +12847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.26423912,-7.392445635,0,0 +12849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.36914458,-6.440193378,0,0 +12848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.03630833,-9.556893713,0,0 +12852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.00052952,-6.990711243,0,0 +12850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.08000742,-6.560008062,0,0 +12853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.25796817,-6.525429748,0,0 +12851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.45904232,-5.313398038,0,0 +12854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.35312457,-6.326695008,0,0 +12855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.57549328,-6.253223053,0,0 +12856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.966374431,-7.371532994,0,0 +12859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.06520114,-7.013020507,0,0 +12857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.44410166,-5.907755302,0,0 +12858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.72839169,-5.955745624,0,0 +12861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.52512947,-5.842034584,0,0 +12860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.13621199,-6.159309644,0,0 +12863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.8515912,-5.815563495,0,0 +12862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.942132481,-5.068446227,0,0 +12864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.26450316,-8.468394169,0,0 +12865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.22606471,-6.198793008,0,0 +12866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.25678033,-5.627559808,0,0 +12867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.03584754,-7.098130205,0,0 +12868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.31081809,-6.48892166,0,0 +12869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.03808253,-7.467107866,0,0 +12871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.60311226,-6.609110053,0,0 +12870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.36687931,-6.177729869,0,0 +12872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.64024138,-6.715051849,0,0 +12873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.31367551,-6.59021943,0,0 +12876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.73513366,-6.464039595,0,0 +12875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.05561688,-6.528180328,0,0 +12874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.2836343,-6.869974787,0,0 +12877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.35040694,-6.258461793,0,0 +12879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.15622874,-5.704560137,0,0 +12880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.5887539,-7.036150258,0,0 +12881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.1736043,-6.99620466,0,0 +12878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.77105206,-8.340293346,0,0 +12882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.53310334,-7.179438007,0,0 +12883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.39671945,-8.560088552,0,0 +12884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.43307135,-7.99394297,0,0 +12885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.15296634,-5.562021306,0,0 +12887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.70202119,-8.318872037,0,0 +12888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.20546441,-7.999612984,0,0 +12886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.38142421,-7.725606581,0,0 +12892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.25064911,-6.625978259,0,0 +12891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.63259426,-5.084150189,0,0 +12890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.36178347,-6.636686101,0,0 +12889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.51640933,-6.894417827,0,0 +12893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.46679479,-7.169525529,0,0 +12896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.966051259,-6.667199665,0,0 +12894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.22497937,-5.921650628,0,0 +12895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.003577,-5.607663976,0,0 +12898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.18971522,-5.67060663,0,0 +12899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.8058479,-4.588087184,0,0 +12897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.64245571,-5.84549844,0,0 +12901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.06948667,-4.845227876,0,0 +12900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.38353974,-7.700191277,0,0 +12903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.48876901,-5.20201659,0,0 +12902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.52621023,-4.931136301,0,0 +12904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.80380012,-6.052399599,0,0 +12907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.6561647,-5.625928396,0,0 +12906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.54380473,-8.58184493,0,0 +12905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.71819763,-7.0234786,0,0 +12909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.2814339,-8.474212319,0,0 +12910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.31082401,-6.013147219,0,0 +12908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.64079486,-7.894578147,0,0 +12911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.90683906,-7.959282229,0,0 +12912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.3688124,-5.378663612,0,0 +12914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.934518794,-7.774602588,0,0 +12913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.28031541,-8.33942127,0,0 +12916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.54949034,-8.905573486,0,0 +12917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.75777085,-6.23356739,0,0 +12918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.23170822,-7.760467972,0,0 +12920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.29488088,-5.027130298,0,0 +12915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.51489605,-7.326404497,0,0 +12921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.11287775,-4.701399642,0,0 +12919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.43819535,-5.794384439,0,0 +12922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.60217329,-8.414308537,0,0 +12923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.34935788,-9.028365861,0,0 +12927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.0831286,-6.643171025,0,0 +12926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.27953116,-5.696230307,0,0 +12925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.0768801,-6.480736208,0,0 +12928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.64280185,-7.083405038,0,0 +12924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.40570778,-6.715406451,0,0 +12930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.60842166,-6.224956595,0,0 +12929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.20431444,-5.349547723,0,0 +12931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.71790129,-8.945916257,0,0 +12932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.13212429,-5.287122881,0,0 +12933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.956401085,-4.48355442,0,0 +12935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.04475788,-8.056908981,0,0 +12934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.08051247,-6.424919542,0,0 +12936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.00985423,-6.566709895,0,0 +12939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.73217602,-7.08058001,0,0 +12937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.36476046,-6.558605425,0,0 +12938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.57730684,-8.012692828,0,0 +12940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.4638505,-5.092481535,0,0 +12942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.69483921,-7.632751431,0,0 +12943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.29442093,-8.029864257,0,0 +12941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.40294716,-4.116072176,0,0 +12945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.36861997,-6.432532268,0,0 +12944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.00005758,-8.379651179,0,0 +12947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.70892156,-8.56753348,0,0 +12949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.03208657,-5.127565976,0,0 +12950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.61703528,-7.51968468,0,0 +12951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.922830254,-7.345732361,0,0 +12948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.76094774,-8.508979574,0,0 +12946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.47846691,-7.648201334,0,0 +12952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.44418761,-7.352379079,0,0 +12954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.0508485,-6.148814847,0,0 +12955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.6254554,-5.840253689,0,0 +12953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.45080091,-7.722396173,0,0 +12956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.62982317,-5.58244511,0,0 +12957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.8077474,-6.282646678,0,0 +12958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.37874908,-7.148900937,0,0 +12959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.968761981,-7.518063643,0,0 +12960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.51120089,-5.482472446,0,0 +12962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.46712459,-5.997430739,0,0 +12965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.81339179,-8.233945066,0,0 +12964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.48407384,-5.441621071,0,0 +12966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.954587272,-7.553288046,0,0 +12967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.14214324,-6.791818883,0,0 +12961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.996216475,-7.528384777,0,0 +12968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.918161391,-6.007374149,0,0 +12963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.57645664,-7.032457945,0,0 +12970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.63463495,-5.352371558,0,0 +12972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.67811715,-7.897036122,0,0 +12971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.23902408,-4.782266219,0,0 +12969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.07557756,-7.832418489,0,0 +12973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.21713305,-6.181329769,0,0 +12974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.934765727,-5.412770245,0,0 +12975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.4689633,-6.392250035,0,0 +12978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.48328781,-6.479086225,0,0 +12977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.33478286,-7.104363306,0,0 +12976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.27128636,-5.978170243,0,0 +12979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.4309321,-7.920317053,0,0 +12981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.70085243,-4.837564534,0,0 +12980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.49143417,-5.485438636,0,0 +12982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.43151144,-6.632903517,0,0 +12983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.23209652,-5.819046835,0,0 +12984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.19836215,-5.530854685,0,0 +12985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.45015975,-6.560334671,0,0 +12987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.31548196,-4.908897178,0,0 +12986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.12834315,-6.413551309,0,0 +12989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.20070052,-6.15408878,0,0 +12990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.13401242,-7.392064706,0,0 +12991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.58960727,-6.592828422,0,0 +12992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.83617887,-7.202025538,0,0 +12993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.67311133,-7.081120524,0,0 +12994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.56301286,-4.265904966,0,0 +12988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-9.998390733,-8.647789068,0,0 +12995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.24434482,-6.176618018,0,0 +12997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.1267306,-6.739860346,0,0 +12996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.75677121,-6.243729518,0,0 +12999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.12467695,-6.697747971,0,0 +12998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.64644426,-9.113413131,0,0 +13000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.6,10,1,-10.57584289,-7.048601283,0,0 +13002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.6368648,-7.31433181,0,0 +13003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.64904026,-6.439607311,0,0 +13004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.23342328,-5.460693401,0,0 +13005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.67704217,-8.193783186,0,0 +13006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.28436466,-6.21309345,0,0 +13007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.2365685,-7.619823209,0,0 +13008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.06683405,-8.247403964,0,0 +13001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.40132465,-5.744826902,0,0 +13009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.13796155,-6.795676899,0,0 +13011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.51260456,-6.665368759,0,0 +13010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.46940108,-7.153337629,0,0 +13012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.21105631,-7.67198167,0,0 +13013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.0427826,-7.496267932,0,0 +13014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.48788032,-8.365084186,0,0 +13015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.71443978,-7.592436438,0,0 +13016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.34529955,-7.489113785,0,0 +13017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.13573463,-5.650247893,0,0 +13018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.43655222,-8.481803598,0,0 +13021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.30520083,-7.432964738,0,0 +13020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.20422226,-7.721591685,0,0 +13022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.57032469,-7.461106654,0,0 +13023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.16059489,-6.772538402,0,0 +13024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.58681348,-7.420072816,0,0 +13019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.102998,-5.238026123,0,0 +13026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.04815592,-8.232733359,0,0 +13028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.6015449,-6.806278771,0,0 +13027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.03428895,-9.13373253,0,0 +13025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.22875084,-7.726117018,0,0 +13029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.22047579,-7.29720929,0,0 +13030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.27230482,-7.354585558,0,0 +13031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.40623088,-7.611908721,0,0 +13032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.44697196,-7.828336037,0,0 +13034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.88525086,-7.860758102,0,0 +13033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.4312608,-8.302089041,0,0 +13035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.57138833,-7.030304065,0,0 +13036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.67859692,-6.454560314,0,0 +13038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.44559871,-7.992663954,0,0 +13037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.11408885,-6.45868878,0,0 +13039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.44012174,-7.83878567,0,0 +13041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.37001673,-6.735300904,0,0 +13042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.40630754,-7.244455915,0,0 +13043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.75761389,-6.011803725,0,0 +13044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.61845227,-6.352464855,0,0 +13045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.6377444,-9.761140105,0,0 +13046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.2444344,-7.914318389,0,0 +13047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.52264735,-5.962007071,0,0 +13040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.2152126,-6.550249312,0,0 +13050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.70827527,-6.412194424,0,0 +13049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.66609957,-6.763669166,0,0 +13051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.67389691,-7.245146096,0,0 +13048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.42028204,-7.525693238,0,0 +13052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.59231679,-6.724955982,0,0 +13054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.13535876,-7.836192343,0,0 +13055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.66503267,-7.722445276,0,0 +13058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.16151257,-7.394418142,0,0 +13057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.56430721,-7.740911416,0,0 +13056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.50814339,-7.181734055,0,0 +13059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.57199453,-4.776166663,0,0 +13060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.22906853,-7.019049052,0,0 +13053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.15686049,-7.072323858,0,0 +13065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.48037364,-6.774302963,0,0 +13064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.47237801,-8.714541535,0,0 +13061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.30291496,-7.299150338,0,0 +13066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.1451825,-7.229351607,0,0 +13062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.59197083,-6.287163608,0,0 +13067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.5541899,-5.091385998,0,0 +13063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.37152216,-6.91946806,0,0 +13068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.0671076,-7.409230592,0,0 +13069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.37609819,-4.718671308,0,0 +13070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.40522418,-5.69049033,0,0 +13071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.32475725,-7.587953316,0,0 +13072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.61477946,-6.841312378,0,0 +13074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.62702559,-8.367547797,0,0 +13075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.03188636,-6.43921191,0,0 +13073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.896091936,-7.942713716,0,0 +13076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.6886437,-6.857815093,0,0 +13077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.78722822,-6.403256867,0,0 +13078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.53780286,-7.738176586,0,0 +13080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.12972408,-6.471585513,0,0 +13081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.21396586,-7.140204717,0,0 +13079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.0438203,-7.187369715,0,0 +13082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.08130718,-9.079192932,0,0 +13084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.49994316,-7.647520351,0,0 +13085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.96056699,-8.07183332,0,0 +13086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.63770186,-8.764906739,0,0 +13087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.46871591,-8.153944024,0,0 +13083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.20911108,-7.503607996,0,0 +13088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.27604811,-8.92924779,0,0 +13089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.33681016,-7.356371343,0,0 +13090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.68753037,-7.86178825,0,0 +13091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.2931612,-5.561608969,0,0 +13092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.27539835,-7.108806843,0,0 +13093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.27064311,-7.261916989,0,0 +13094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.1256328,-6.450860224,0,0 +13097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.43613354,-8.387013139,0,0 +13095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.0396634,-7.104840434,0,0 +13099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.14544492,-5.903241517,0,0 +13096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.65974358,-7.083914344,0,0 +13100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.13767322,-6.104988032,0,0 +13101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.46035145,-5.71249245,0,0 +13098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.69054257,-7.512428846,0,0 +13102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.70548547,-7.254116823,0,0 +13103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.31989129,-7.705375922,0,0 +13106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.36972212,-5.481384668,0,0 +13105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.40801995,-6.85424725,0,0 +13108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.74044264,-5.285328168,0,0 +13107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.70925391,-8.452873758,0,0 +13109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.15400051,-7.286672463,0,0 +13110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.962054577,-8.46023244,0,0 +13111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.43311809,-5.424082029,0,0 +13104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.69530759,-8.501438832,0,0 +13113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.35008172,-7.681074696,0,0 +13112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.53249816,-8.811159044,0,0 +13114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.51208417,-8.693589456,0,0 +13115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.903721111,-8.05005184,0,0 +13116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.45286929,-6.850495088,0,0 +13118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.07953698,-6.40522311,0,0 +13117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.30546209,-6.644056117,0,0 +13119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.45457348,-6.764415386,0,0 +13121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.5338201,-8.050818156,0,0 +13120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.69270689,-7.024414814,0,0 +13123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.04321053,-7.441955843,0,0 +13122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.35138497,-6.587196819,0,0 +13125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.28598935,-6.129286972,0,0 +13124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.17606666,-7.466472366,0,0 +13126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.55449185,-7.064159884,0,0 +13127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.0205573,-6.485878233,0,0 +13129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.47074326,-6.668292028,0,0 +13128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.48927296,-6.477231059,0,0 +13130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.77748281,-7.144236859,0,0 +13131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.75912199,-7.046081335,0,0 +13132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.0941315,-6.611573787,0,0 +13134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.47179935,-6.138269037,0,0 +13133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.57043451,-6.819936701,0,0 +13136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.05415442,-6.203255273,0,0 +13138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.20154821,-8.943483335,0,0 +13137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.82520405,-7.67740131,0,0 +13135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.6381982,-7.625131758,0,0 +13139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.36548842,-4.921033059,0,0 +13141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.58228456,-6.422208676,0,0 +13140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.17483408,-7.874243815,0,0 +13142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.62950525,-7.65586984,0,0 +13143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.02943058,-7.076278509,0,0 +13145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.60083977,-6.631818054,0,0 +13144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.02342066,-9.185963495,0,0 +13147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.67908493,-8.450059751,0,0 +13146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.10458756,-7.193055853,0,0 +13148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.10675661,-6.598756654,0,0 +13149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.43111899,-7.437295243,0,0 +13151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.2621479,-6.52853254,0,0 +13150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.7245355,-6.000682524,0,0 +13153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.42386065,-6.548747232,0,0 +13152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.53339115,-7.436170407,0,0 +13155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.74676642,-6.878064244,0,0 +13154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.991574763,-6.232712133,0,0 +13156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.73168502,-4.967671639,0,0 +13157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.12383147,-6.243175695,0,0 +13159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.66854849,-7.429830579,0,0 +13158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.67654357,-8.583892284,0,0 +13160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.5699623,-7.660631477,0,0 +13161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.05721941,-6.886939272,0,0 +13164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.961419136,-4.235967131,0,0 +13163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.88317372,-7.902174987,0,0 +13165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.30405712,-6.20091288,0,0 +13166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.32619561,-8.083627914,0,0 +13167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.73677866,-9.438413738,0,0 +13168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.66254276,-7.5198954,0,0 +13169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.62040099,-8.450088549,0,0 +13162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.967176057,-8.66607859,0,0 +13170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.27824564,-7.775194491,0,0 +13172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.27296762,-7.409464783,0,0 +13174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.66179772,-7.268612254,0,0 +13171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.52614249,-7.678767619,0,0 +13175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.21130362,-8.234112072,0,0 +13173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.72909815,-8.16438282,0,0 +13176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.44121565,-6.397084211,0,0 +13177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.20857347,-7.547864233,0,0 +13179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.51658223,-8.070530433,0,0 +13180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.72375898,-7.587788013,0,0 +13181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.57517793,-8.32444797,0,0 +13182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.61340751,-7.427739214,0,0 +13178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.5442074,-7.673330338,0,0 +13183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.15262459,-7.108337555,0,0 +13185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.45123935,-7.718935884,0,0 +13184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.35909755,-7.460617497,0,0 +13188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.74420404,-7.7393708,0,0 +13186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.54255269,-6.291436843,0,0 +13189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.06261236,-7.245858997,0,0 +13190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.05783465,-8.111928095,0,0 +13192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.63662932,-6.510857831,0,0 +13187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.44570662,-6.831041048,0,0 +13193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.63254218,-6.895566378,0,0 +13194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.05988196,-6.943092678,0,0 +13195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.965226379,-7.081292341,0,0 +13191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.3231619,-7.837192579,0,0 +13196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.03341461,-7.050027358,0,0 +13199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.44694361,-6.390437741,0,0 +13198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.26244488,-6.351859029,0,0 +13200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.72382361,-7.619601069,0,0 +13197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.08833719,-6.001723929,0,0 +13201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.47020807,-7.567865071,0,0 +13203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.40272269,-6.058180304,0,0 +13202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.870339829,-6.550949886,0,0 +13204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.921010984,-5.42982295,0,0 +13206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.31054742,-6.441291428,0,0 +13205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.62998994,-8.036961823,0,0 +13207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.33878743,-6.898418684,0,0 +13208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.09653382,-6.080730786,0,0 +13209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.13991697,-5.749326293,0,0 +13211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.81429356,-6.930564661,0,0 +13212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.4809938,-6.178371203,0,0 +13210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.43187407,-7.435435157,0,0 +13213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.52809728,-8.151513333,0,0 +13214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.02730924,-5.617437442,0,0 +13215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.30337201,-7.129332147,0,0 +13216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.18832989,-7.097096768,0,0 +13219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.73925281,-7.275847018,0,0 +13218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.67091153,-7.379782274,0,0 +13220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.05660008,-6.470969348,0,0 +13222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.08800837,-6.3092017,0,0 +13221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.1072318,-6.199915366,0,0 +13217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.33051422,-8.383313348,0,0 +13224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.19297038,-7.005710048,0,0 +13223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.76659452,-7.543686734,0,0 +13225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.49500428,-7.556418175,0,0 +13226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.56115716,-5.734554171,0,0 +13227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.19966453,-5.990516658,0,0 +13228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.507418,-6.13774717,0,0 +13229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.04016078,-6.77839338,0,0 +13230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.39586127,-4.367027088,0,0 +13231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.83246985,-6.754049845,0,0 +13232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.05825101,-6.146438181,0,0 +13233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.28084917,-8.256881039,0,0 +13234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.05480128,-5.520366257,0,0 +13235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.44563761,-6.991125608,0,0 +13236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.55639313,-8.249098818,0,0 +13237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.21943544,-7.290797245,0,0 +13239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.39919198,-7.524233868,0,0 +13240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.06721047,-7.710323093,0,0 +13238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.49922072,-7.993150504,0,0 +13241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.04718023,-5.667241115,0,0 +13244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.06843669,-5.608680371,0,0 +13245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.14991277,-5.639029426,0,0 +13242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.38484696,-7.902016451,0,0 +13243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.29697372,-6.775905727,0,0 +13246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.47508451,-7.264127774,0,0 +13247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.75775274,-7.397347669,0,0 +13249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.58377458,-7.315631616,0,0 +13250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.95803373,-6.717355971,0,0 +13252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.39937035,-6.573194269,0,0 +13251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.71529749,-7.270639443,0,0 +13253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.75129185,-7.854122317,0,0 +13248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.52550996,-8.56810746,0,0 +13254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.32562984,-9.381680945,0,0 +13256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.65873587,-8.089676512,0,0 +13255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.2331279,-6.733855542,0,0 +13257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.68988507,-7.456569524,0,0 +13259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.23665837,-7.658815127,0,0 +13260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.967001176,-6.81471001,0,0 +13258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.33462493,-6.965661986,0,0 +13262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.81940615,-8.301436023,0,0 +13261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.69167973,-6.908666304,0,0 +13264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.64927526,-6.897404643,0,0 +13265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.42990958,-4.948343029,0,0 +13263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.4379167,-8.158459882,0,0 +13266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.37908524,-7.938484736,0,0 +13268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.39923815,-5.91976217,0,0 +13269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.73988455,-6.371319338,0,0 +13270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.54385343,-7.461455022,0,0 +13267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.09646022,-5.995885712,0,0 +13272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.69877642,-8.57949448,0,0 +13273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.927446699,-6.391370271,0,0 +13274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.19324466,-7.978486809,0,0 +13271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.81174262,-7.431055651,0,0 +13275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.66113002,-7.189635902,0,0 +13276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.15197112,-8.664440226,0,0 +13278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.74379618,-8.355190127,0,0 +13277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.47091899,-7.745889172,0,0 +13279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.66319015,-6.705286298,0,0 +13280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.15757797,-9.470940741,0,0 +13282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.78862978,-7.614847536,0,0 +13281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.961703345,-6.791884835,0,0 +13283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.78139047,-5.903970591,0,0 +13284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.09085826,-9.671741131,0,0 +13286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.63262834,-7.173500621,0,0 +13285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.77906654,-6.814341833,0,0 +13287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.71040399,-7.300374732,0,0 +13290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.59558611,-6.796463134,0,0 +13288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.983296863,-7.12921237,0,0 +13291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.981698514,-7.564660932,0,0 +13292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.55765031,-7.725471675,0,0 +13289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.58726167,-6.25074295,0,0 +13294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.08394445,-7.258967006,0,0 +13295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.63159458,-8.377486692,0,0 +13293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.67395828,-8.958056041,0,0 +13296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.37432928,-8.305156346,0,0 +13299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.293421,-9.322087801,0,0 +13297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.55290047,-7.638991846,0,0 +13298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.7063965,-7.076688043,0,0 +13300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.63530579,-5.7060669,0,0 +13301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.27662224,-6.471244798,0,0 +13302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.977354676,-8.848249688,0,0 +13303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.75504986,-7.397342681,0,0 +13304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.55081696,-5.522996247,0,0 +13307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.66002352,-7.626706261,0,0 +13308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.13131768,-6.685261497,0,0 +13305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.01433401,-5.193808524,0,0 +13309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.48772917,-8.183978614,0,0 +13310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.62600335,-5.890268318,0,0 +13311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.08520408,-6.213798671,0,0 +13312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.63268687,-6.222351657,0,0 +13306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.62507765,-8.097251087,0,0 +13313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.34805727,-6.745197403,0,0 +13315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.54906956,-7.83036848,0,0 +13314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.34964321,-7.144105121,0,0 +13316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.24327205,-8.469254105,0,0 +13317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.14882469,-6.490740869,0,0 +13318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.30825522,-7.352514441,0,0 +13320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.68785858,-5.780202854,0,0 +13322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.55328046,-8.716421804,0,0 +13321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.3781408,-7.598178783,0,0 +13323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.19847739,-6.949647773,0,0 +13319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.55557726,-6.660463964,0,0 +13324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.07720318,-5.975405317,0,0 +13326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.40775616,-6.90412047,0,0 +13325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.60741893,-6.597205303,0,0 +13327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.07596186,-7.034998643,0,0 +13328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.64967784,-8.027715523,0,0 +13329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.958646125,-8.389432408,0,0 +13332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.37722274,-8.316298036,0,0 +13331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.49737486,-7.261103391,0,0 +13330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.17298014,-5.2796272,0,0 +13333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.33799208,-7.677139438,0,0 +13334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.26168527,-7.942340361,0,0 +13336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.24724204,-6.929295773,0,0 +13335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.20047159,-8.157643651,0,0 +13337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.00025515,-5.885008085,0,0 +13338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.38863049,-6.705847585,0,0 +13339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.35404376,-8.001870856,0,0 +13341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.4776993,-7.824098516,0,0 +13340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.43352027,-7.050031289,0,0 +13342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.54707615,-6.597638726,0,0 +13344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.43103979,-6.146573466,0,0 +13343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.04478084,-6.520709851,0,0 +13345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.34423856,-7.279533516,0,0 +13346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.37903605,-7.530865775,0,0 +13347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.51724921,-6.251363434,0,0 +13348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.35876502,-6.879647513,0,0 +13349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.81375971,-7.644152462,0,0 +13350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.22803825,-6.97340682,0,0 +13352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.37987004,-6.580056518,0,0 +13351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.67895918,-9.748212849,0,0 +13353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.65789237,-7.989177848,0,0 +13354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.23612075,-7.276390758,0,0 +13355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.09007045,-6.792138041,0,0 +13356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.63120455,-8.439311947,0,0 +13357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.17119664,-7.044787914,0,0 +13360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.20887039,-5.522073623,0,0 +13359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.14621584,-6.346559516,0,0 +13358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.42312397,-8.415900686,0,0 +13361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.58694795,-6.035744202,0,0 +13362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.71480546,-8.04526091,0,0 +13363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.42469269,-5.604574632,0,0 +13364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.51912629,-6.605354339,0,0 +13368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.5219437,-7.108132363,0,0 +13367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.69991839,-7.795489511,0,0 +13366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.40328179,-6.035988046,0,0 +13369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.08966555,-8.625834868,0,0 +13370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.48672958,-7.277471227,0,0 +13365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.62994763,-8.355569295,0,0 +13371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.05583356,-5.911907265,0,0 +13372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.37699861,-7.465649496,0,0 +13374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.49191072,-7.042332634,0,0 +13373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.76615195,-8.18651507,0,0 +13376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.66808706,-7.077926786,0,0 +13375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.02273644,-7.057985048,0,0 +13377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.69229891,-7.898484091,0,0 +13378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.88592317,-7.438752747,0,0 +13380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.51358007,-8.15830969,0,0 +13379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.65081183,-7.512298739,0,0 +13382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.33221667,-5.802462642,0,0 +13383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.00619141,-8.018542914,0,0 +13385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.03541075,-7.549160069,0,0 +13384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.22459152,-7.163658285,0,0 +13381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.344346,-6.927282328,0,0 +13386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.983794408,-7.018080005,0,0 +13387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.0338027,-7.600957006,0,0 +13389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.02664416,-7.387019187,0,0 +13390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.75514995,-6.75231559,0,0 +13388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.32672573,-7.497569562,0,0 +13392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.23904864,-6.80908041,0,0 +13391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.61732978,-8.075771882,0,0 +13393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.25827128,-8.208381015,0,0 +13396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.21632918,-6.067983627,0,0 +13395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.69108279,-6.749578171,0,0 +13397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.40024095,-6.434684818,0,0 +13394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.34102037,-8.019120214,0,0 +13398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.963788046,-7.723828612,0,0 +13400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.23014198,-6.644748028,0,0 +13399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.65870728,-8.564518961,0,0 +13401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.963896065,-5.895826138,0,0 +13402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.29874838,-6.313777527,0,0 +13404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.16920424,-7.694886673,0,0 +13405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.03809726,-7.997328685,0,0 +13407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.63987217,-6.853434048,0,0 +13406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.51469259,-6.544319031,0,0 +13408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.39264993,-7.463449033,0,0 +13403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.08114821,-8.057827468,0,0 +13409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.68248524,-6.202656034,0,0 +13411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.35248414,-7.848735713,0,0 +13413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.16840698,-6.900522786,0,0 +13410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.23575557,-6.941342894,0,0 +13414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.22022726,-7.783034381,0,0 +13416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.04980535,-6.334983723,0,0 +13415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.1936638,-7.259055638,0,0 +13412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.5562858,-6.586002798,0,0 +13420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.72464141,-6.105901706,0,0 +13417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.48581267,-8.824740325,0,0 +13418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.72048916,-9.565982196,0,0 +13419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.0432197,-7.952442343,0,0 +13421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.54487742,-6.967841217,0,0 +13424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.09269234,-6.721180514,0,0 +13423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.45062287,-6.471580043,0,0 +13422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.16016164,-9.474975014,0,0 +13427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.41654882,-5.267996387,0,0 +13425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.50626706,-7.530564108,0,0 +13426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.67784577,-7.12332861,0,0 +13428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.68886084,-7.483753008,0,0 +13429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.0925579,-6.25989494,0,0 +13431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.924402007,-5.660220832,0,0 +13432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.31037056,-7.158371206,0,0 +13434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.35660302,-7.160594843,0,0 +13433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.07451951,-6.115540809,0,0 +13436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.75038624,-5.2010288,0,0 +13435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.05776045,-7.356180542,0,0 +13430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.46093378,-6.189204769,0,0 +13437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.70821171,-7.364807095,0,0 +13438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.0075309,-6.593795063,0,0 +13440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.64139947,-6.993585505,0,0 +13441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.4163385,-8.476850743,0,0 +13443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.27133439,-6.491330948,0,0 +13442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.32181178,-6.245789997,0,0 +13439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.50845614,-7.988079382,0,0 +13444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.58388543,-7.306928138,0,0 +13445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.48188784,-8.037879382,0,0 +13446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.74861892,-7.578310661,0,0 +13447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.00165052,-5.775602704,0,0 +13450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.32734452,-7.876228228,0,0 +13449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.913513219,-7.833123059,0,0 +13448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.39706398,-6.00041562,0,0 +13451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.21346948,-8.141081273,0,0 +13452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.80449391,-7.973577363,0,0 +13453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.94257052,-6.865043218,0,0 +13454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.30321006,-7.523708615,0,0 +13455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.481279,-8.241235854,0,0 +13457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.29084223,-7.217116856,0,0 +13456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.0967256,-7.577978135,0,0 +13458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.06614081,-6.216908995,0,0 +13461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.55758726,-6.309288517,0,0 +13459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.40028303,-5.897249059,0,0 +13462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.77632631,-6.769623093,0,0 +13460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.19524314,-6.787491077,0,0 +13463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.34491466,-6.40088677,0,0 +13465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.09387755,-7.345369501,0,0 +13464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.28479666,-6.045681506,0,0 +13466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.3267516,-7.82315185,0,0 +13467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.34195775,-6.963803073,0,0 +13468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.47929799,-7.819997065,0,0 +13470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.72793922,-8.148632667,0,0 +13471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.0778678,-7.160309862,0,0 +13472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.975570312,-6.853111079,0,0 +13469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.11568806,-8.222378371,0,0 +13474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.00717229,-5.236845079,0,0 +13473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.11722757,-7.052833453,0,0 +13476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.80662431,-8.337989438,0,0 +13478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.19803752,-8.230541511,0,0 +13479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.67762405,-8.311200874,0,0 +13475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.12693355,-7.718372889,0,0 +13477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.57905414,-7.274222972,0,0 +13480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.25412028,-6.13480675,0,0 +13481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.58172201,-6.5663799,0,0 +13482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.1521068,-6.19000016,0,0 +13483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.25734717,-5.843967852,0,0 +13485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.13757073,-6.28294154,0,0 +13484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.68382685,-7.703667436,0,0 +13486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.59955199,-6.583683075,0,0 +13488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.946973798,-5.528371177,0,0 +13487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.30714495,-5.683867722,0,0 +13490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.60468195,-5.693759703,0,0 +13489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.11890721,-5.7635866,0,0 +13491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.16565967,-5.40446851,0,0 +13492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.71478295,-7.986247902,0,0 +13493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.975105291,-7.790275253,0,0 +13494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.62505859,-8.190113559,0,0 +13495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.51815393,-6.259792895,0,0 +13496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.66575326,-7.033092123,0,0 +13497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.77252023,-8.03193368,0,0 +13498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.1600651,-7.378810871,0,0 +13499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.44341978,-6.525396952,0,0 +13502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.31120228,-7.079007839,0,0 +13500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.11953236,-6.092078084,0,0 +13501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.16079411,-8.006724269,0,0 +13503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.39562737,-4.941825982,0,0 +13505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.18709984,-7.512756258,0,0 +13504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.26816923,-6.687351589,0,0 +13507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.54827566,-5.948816975,0,0 +13506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.04350015,-7.813218677,0,0 +13509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.34698721,-7.021706539,0,0 +13508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.61966869,-6.41125303,0,0 +13511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.21565239,-7.78639646,0,0 +13510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.81836413,-7.469229052,0,0 +13512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.986909157,-6.138426768,0,0 +13514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.16047393,-8.281607125,0,0 +13513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.34995607,-6.17950901,0,0 +13515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.80572207,-7.390101595,0,0 +13518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.46882968,-8.375572018,0,0 +13519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.56418121,-7.5728416,0,0 +13516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.56498007,-7.115231143,0,0 +13520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.16515842,-6.032258914,0,0 +13521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.76015752,-6.033346195,0,0 +13517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.24503306,-7.278296003,0,0 +13522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.58790002,-6.269623675,0,0 +13527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.06643128,-7.576544615,0,0 +13526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.1570896,-7.036872845,0,0 +13523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.17252163,-5.586529452,0,0 +13524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.30684637,-6.426052745,0,0 +13525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.38701719,-6.265281107,0,0 +13528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.06933351,-6.037093131,0,0 +13529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.42866282,-8.12168786,0,0 +13530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.76746833,-7.24033393,0,0 +13532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.07454718,-9.109645251,0,0 +13531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.38302508,-6.262497592,0,0 +13535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.14020995,-7.772228927,0,0 +13534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.941650117,-8.10051065,0,0 +13536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.77581041,-8.09682642,0,0 +13533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.04206264,-7.009920813,0,0 +13537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.41384094,-8.471127817,0,0 +13538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.07628946,-7.566011314,0,0 +13539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.3218248,-6.235920454,0,0 +13540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.7311876,-8.898459044,0,0 +13542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.36753903,-8.698036802,0,0 +13541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.00865074,-7.026882507,0,0 +13543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.32734837,-7.723172755,0,0 +13544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.69658272,-6.936669203,0,0 +13547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.66169857,-7.666482556,0,0 +13546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.31958375,-7.372806155,0,0 +13549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.19673606,-7.257423053,0,0 +13548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.24930756,-6.346293532,0,0 +13551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.5618821,-7.626413777,0,0 +13550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.32650575,-8.562486788,0,0 +13545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.53573203,-5.844803374,0,0 +13552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.19132925,-6.645894407,0,0 +13553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.70728913,-8.593819066,0,0 +13555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.09710758,-6.608085211,0,0 +13554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.49736388,-5.834057957,0,0 +13556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.63032257,-6.994741898,0,0 +13557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.48037375,-7.991518188,0,0 +13558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.5900247,-6.469781071,0,0 +13559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.68629664,-5.802707918,0,0 +13560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.39631988,-7.797594412,0,0 +13561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.05597953,-7.503012115,0,0 +13562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.69960413,-7.435096853,0,0 +13564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.02618218,-7.873066112,0,0 +13563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.30354017,-8.23014372,0,0 +13565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.68005827,-8.45691245,0,0 +13566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.61140434,-8.405226662,0,0 +13568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.36320821,-7.309610651,0,0 +13569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.38422195,-7.611595046,0,0 +13567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.37430932,-7.452413413,0,0 +13570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.70928248,-8.332221685,0,0 +13572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.73912513,-7.675190117,0,0 +13573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.22434498,-6.94906941,0,0 +13571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.25859811,-9.153806591,0,0 +13574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.12975568,-8.344312342,0,0 +13575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.33332869,-6.77536543,0,0 +13577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.57976232,-6.659810045,0,0 +13576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.62288496,-6.492146737,0,0 +13578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.79619101,-9.075470089,0,0 +13580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.09804522,-6.586787687,0,0 +13579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.04714515,-6.256538607,0,0 +13581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.63191343,-6.996835028,0,0 +13582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.55089556,-6.073599988,0,0 +13583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.13158037,-6.564881116,0,0 +13586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.52054861,-6.432646424,0,0 +13584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.4946755,-9.341814614,0,0 +13588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.22158357,-7.772201275,0,0 +13587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.946478255,-5.806291577,0,0 +13589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.31271842,-6.323601767,0,0 +13585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.68875268,-6.66213143,0,0 +13590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.16966905,-6.483001032,0,0 +13591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.10195836,-6.041838927,0,0 +13592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.18733984,-8.943648659,0,0 +13593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.55306155,-5.485309091,0,0 +13594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.40609654,-5.686231255,0,0 +13596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.3149406,-7.294774832,0,0 +13597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.45603246,-8.606525358,0,0 +13599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.69480301,-9.085501449,0,0 +13598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.3943441,-6.692538021,0,0 +13595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.01311907,-7.992991532,0,0 +13600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.10853533,-6.225264776,0,0 +13602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.67845157,-5.935445755,0,0 +13603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.41882935,-7.381160907,0,0 +13601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.42572574,-5.986841863,0,0 +13604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.13543291,-6.937192435,0,0 +13607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.6357761,-6.140636959,0,0 +13606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.56865334,-8.39599796,0,0 +13608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.51842773,-7.531387465,0,0 +13609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.60328913,-6.653177672,0,0 +13610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.37521147,-5.920706682,0,0 +13605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.09170966,-6.634407955,0,0 +13611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.07366358,-5.475963089,0,0 +13612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.74641295,-8.316580904,0,0 +13615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.38407517,-8.101485692,0,0 +13616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.61487412,-8.059998118,0,0 +13617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.31544026,-9.381691964,0,0 +13614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.22114344,-7.089049795,0,0 +13613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.14326192,-7.853149324,0,0 +13618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.14467303,-8.067344818,0,0 +13619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.72712524,-6.095026548,0,0 +13620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.23382773,-5.906123945,0,0 +13621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.49766222,-7.104824663,0,0 +13622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.03030562,-5.831520972,0,0 +13623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.48116389,-7.874903891,0,0 +13624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.46716209,-7.709644857,0,0 +13625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.20690222,-6.316754654,0,0 +13626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.20006014,-8.363852929,0,0 +13627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.86514306,-7.714398498,0,0 +13628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.22659725,-6.673966411,0,0 +13629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.11140518,-6.932912184,0,0 +13631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.06773208,-4.131274905,0,0 +13630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.07866592,-7.561486451,0,0 +13632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.29286051,-7.731182036,0,0 +13634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.45688804,-6.912000786,0,0 +13633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.64971925,-6.223703168,0,0 +13636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.925505735,-6.571979232,0,0 +13638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.42665869,-8.813513411,0,0 +13635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.69131444,-5.999177999,0,0 +13639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.54254046,-6.800581109,0,0 +13637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.41006211,-8.122235296,0,0 +13640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.61783171,-5.220138853,0,0 +13641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.23413668,-8.382234665,0,0 +13642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.74156401,-7.621264176,0,0 +13643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.990286952,-7.345029316,0,0 +13644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.58254452,-7.804444691,0,0 +13645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.56960165,-8.19453554,0,0 +13647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.13209909,-6.964830992,0,0 +13648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.34433527,-6.660442661,0,0 +13646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.5845712,-7.070920714,0,0 +13649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.20601378,-7.467174509,0,0 +13650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.69126427,-6.971216358,0,0 +13651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.50170086,-7.656113821,0,0 +13652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.69891473,-7.855684594,0,0 +13653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.14364406,-5.376572899,0,0 +13654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.08566303,-8.404050419,0,0 +13655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.67834342,-7.213953924,0,0 +13656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.51001226,-8.321014274,0,0 +13658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.56266613,-8.048339609,0,0 +13657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.971356266,-6.660118537,0,0 +13660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.68987662,-6.238088176,0,0 +13659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.3619362,-7.282113809,0,0 +13661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.965999278,-6.889905761,0,0 +13662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.09018936,-5.978293832,0,0 +13664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.73372754,-7.789941767,0,0 +13663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.1381827,-5.823423281,0,0 +13665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.66387317,-5.951184619,0,0 +13666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.16488554,-6.516215132,0,0 +13667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.35784994,-8.078309259,0,0 +13668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.1363751,-7.300130864,0,0 +13669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.24725999,-6.09470639,0,0 +13670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.42230306,-8.516261177,0,0 +13671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.29345031,-3.746907611,0,0 +13672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.59702446,-8.302700346,0,0 +13675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.45141159,-7.594594719,0,0 +13676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.17797589,-6.776194427,0,0 +13677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.191911,-6.601369572,0,0 +13673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.30212892,-9.163686218,0,0 +13674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.74124971,-7.280462762,0,0 +13678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.0573285,-5.704457026,0,0 +13679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.80340513,-7.761878184,0,0 +13680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.58933861,-6.289230109,0,0 +13682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.33074758,-6.605349853,0,0 +13681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.79326544,-6.8988494,0,0 +13683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.63813846,-8.282699796,0,0 +13685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.862113985,-8.149825106,0,0 +13686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.53414868,-8.205396857,0,0 +13687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.56809076,-5.509139359,0,0 +13684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.7474479,-5.828740342,0,0 +13688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.14575886,-8.214811286,0,0 +13689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.67835625,-6.756231114,0,0 +13690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.2586788,-6.342862228,0,0 +13691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.21072183,-5.994289576,0,0 +13692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.16842462,-6.746354152,0,0 +13693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.07940546,-6.580680823,0,0 +13694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.25955399,-7.061903153,0,0 +13696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.78456488,-9.074178014,0,0 +13699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.82044665,-8.313807379,0,0 +13698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.40510229,-5.624050098,0,0 +13697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.32150651,-6.364502047,0,0 +13695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.52791375,-6.934362457,0,0 +13700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.37460193,-6.104676787,0,0 +13701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.53887253,-8.483483351,0,0 +13702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.55453522,-6.767233162,0,0 +13703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.11087512,-5.462100253,0,0 +13704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.51095146,-7.412180725,0,0 +13706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.68295314,-8.307822828,0,0 +13705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.09727858,-5.597642699,0,0 +13707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.00215506,-7.415576318,0,0 +13708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.18855424,-8.997635645,0,0 +13709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.5960943,-7.618691813,0,0 +13710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.37650285,-9.275329886,0,0 +13711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.065048,-6.375687855,0,0 +13712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.27941709,-6.226136422,0,0 +13714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.36591311,-7.754856611,0,0 +13713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.43881969,-7.316662457,0,0 +13715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.54653944,-7.300314311,0,0 +13716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.04154867,-7.616830672,0,0 +13717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.06724052,-5.182891396,0,0 +13718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.69632755,-7.335981697,0,0 +13719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.66363582,-6.403795338,0,0 +13720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.27376063,-8.427102721,0,0 +13721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.24960469,-6.309888682,0,0 +13722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.60140641,-7.32607197,0,0 +13723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.07211027,-7.245619967,0,0 +13724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.75580137,-8.786372253,0,0 +13725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.76427151,-7.495274637,0,0 +13726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.948389682,-6.527592771,0,0 +13727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.16349291,-6.983619497,0,0 +13728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.962886534,-6.603460512,0,0 +13730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.45619452,-6.410481614,0,0 +13729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.64282567,-6.768290263,0,0 +13732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.21312144,-7.475619198,0,0 +13731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.45573771,-6.33191223,0,0 +13733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.18338934,-7.124948288,0,0 +13734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.7522018,-6.596458363,0,0 +13735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.11016029,-6.112245038,0,0 +13737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.43410881,-6.687137994,0,0 +13736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.47948218,-7.854451332,0,0 +13738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.15597777,-6.832024136,0,0 +13739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.6913492,-7.295063311,0,0 +13740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.58483126,-6.949363752,0,0 +13741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.65416461,-7.859135006,0,0 +13742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.24262579,-8.875027185,0,0 +13743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.09750984,-8.266732465,0,0 +13744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.18133434,-6.130655655,0,0 +13745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.31727412,-6.954901149,0,0 +13746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.23682935,-6.562490064,0,0 +13747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.82138837,-8.464339287,0,0 +13748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.52162543,-7.149535563,0,0 +13749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.01125048,-7.67531246,0,0 +13752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.72068724,-7.199238279,0,0 +13750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.70640108,-6.240621813,0,0 +13751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.14802984,-7.198818883,0,0 +13753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.53710601,-6.207520445,0,0 +13754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.59563011,-8.269148171,0,0 +13755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.12200177,-7.505276943,0,0 +13757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.08690123,-6.888495408,0,0 +13760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.58087389,-5.03865312,0,0 +13758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.12720426,-7.221056608,0,0 +13759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.35057526,-8.738966946,0,0 +13756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.00404846,-7.459443373,0,0 +13762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.37215447,-7.524760188,0,0 +13763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.107817,-6.157992765,0,0 +13761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.14255027,-8.250523548,0,0 +13764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.43877013,-6.778404199,0,0 +13766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.64474157,-8.519522229,0,0 +13765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.53097726,-9.174035337,0,0 +13767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.03358203,-6.569524696,0,0 +13769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.06995484,-6.173428864,0,0 +13768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.70345309,-6.061554064,0,0 +13771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.06340155,-5.349071865,0,0 +13770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.6255269,-7.484701648,0,0 +13772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.25474047,-8.211785684,0,0 +13774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.67859144,-7.698898299,0,0 +13775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.22282217,-7.893862753,0,0 +13773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.72944313,-8.560172882,0,0 +13776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.54850361,-4.871123442,0,0 +13778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.18846216,-6.506974547,0,0 +13779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.20256301,-7.914945713,0,0 +13777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.62125932,-8.14947052,0,0 +13780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.22152669,-6.291434718,0,0 +13783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.31542719,-6.078841875,0,0 +13784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.51366617,-7.673072109,0,0 +13781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.80660578,-7.02356823,0,0 +13782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.52596681,-7.731062965,0,0 +13785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.12437914,-7.102818196,0,0 +13786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.41640638,-6.684804964,0,0 +13787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.148101,-7.483434412,0,0 +13788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.74875844,-9.345332269,0,0 +13790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.28246636,-6.847841899,0,0 +13789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.09798004,-6.204075927,0,0 +13791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.64453523,-7.307795593,0,0 +13792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.03678677,-7.5679285,0,0 +13793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.33254549,-7.927876996,0,0 +13794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.78079077,-8.030415468,0,0 +13796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.06315953,-7.220756236,0,0 +13798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.99464776,-5.874479668,0,0 +13797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.75603834,-8.326681838,0,0 +13799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.76353996,-6.910637888,0,0 +13800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.36526189,-6.31722728,0,0 +13795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.29975361,-6.635261513,0,0 +13801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.23781179,-7.746859449,0,0 +13802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.60871212,-7.662227253,0,0 +13803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.28513421,-4.894602136,0,0 +13804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.96570713,-6.475229165,0,0 +13805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.57802331,-7.151550788,0,0 +13806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.977712393,-7.238143622,0,0 +13808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.3863782,-6.389269869,0,0 +13809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.15833478,-8.1412938,0,0 +13807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.60245229,-5.503547211,0,0 +13811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.1682839,-6.086022599,0,0 +13813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.96334792,-7.28042758,0,0 +13814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.18797407,-5.855468303,0,0 +13810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.15817517,-5.943078526,0,0 +13816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.48567422,-7.194917747,0,0 +13817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.71934078,-7.668979525,0,0 +13812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.49357006,-7.153751207,0,0 +13818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.53012103,-7.337563331,0,0 +13815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.71035082,-7.005196979,0,0 +13819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.52630312,-8.74006957,0,0 +13821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.75907524,-7.032202841,0,0 +13822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.03554317,-7.998899711,0,0 +13820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.52146805,-6.462528898,0,0 +13824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.0873839,-8.10849082,0,0 +13825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.2832331,-7.038452288,0,0 +13823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.57921888,-6.349160469,0,0 +13827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.919270926,-6.334127603,0,0 +13829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.23709983,-6.871120089,0,0 +13830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.03891206,-8.442495439,0,0 +13826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.69705832,-8.217069882,0,0 +13828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.49406855,-6.477999478,0,0 +13832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.00294865,-6.777858911,0,0 +13833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.12227216,-5.901720893,0,0 +13834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.48809826,-7.121992214,0,0 +13831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.72351676,-7.197338009,0,0 +13835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.47791584,-5.6299472,0,0 +13838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.981314597,-5.518675635,0,0 +13836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.73515153,-7.02279528,0,0 +13839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.942830894,-5.931899627,0,0 +13840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.90588906,-8.300018299,0,0 +13837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.42606823,-7.316499834,0,0 +13841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.52594863,-8.652318582,0,0 +13842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.27655588,-7.537171272,0,0 +13843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.67784927,-8.050453532,0,0 +13844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.74399843,-8.412185463,0,0 +13845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.11612637,-6.169053032,0,0 +13846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.21187938,-7.295206825,0,0 +13848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.58081728,-7.373840091,0,0 +13849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.15168129,-6.377600671,0,0 +13850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.50001531,-7.565015378,0,0 +13851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.79560572,-7.768609927,0,0 +13847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.10010052,-6.09685122,0,0 +13852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.71483392,-6.880722116,0,0 +13854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.70581647,-8.914408877,0,0 +13853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.17096779,-8.08149094,0,0 +13856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.44109226,-4.947503061,0,0 +13857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.60149377,-6.341193003,0,0 +13858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.74692049,-5.83794059,0,0 +13859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.50788609,-8.05662651,0,0 +13855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.49491325,-7.920753504,0,0 +13861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.951435432,-7.979764059,0,0 +13862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.41121758,-9.733468282,0,0 +13860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.52112932,-7.360173184,0,0 +13864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.04808801,-7.542083083,0,0 +13863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.64003183,-6.275807931,0,0 +13865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.982309915,-5.190620031,0,0 +13867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.33970631,-8.587627302,0,0 +13866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.43049639,-6.348136112,0,0 +13868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.28302725,-6.612477396,0,0 +13869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.30115205,-6.407026634,0,0 +13870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.57724783,-7.216272582,0,0 +13872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.62974066,-6.315150317,0,0 +13871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.16407695,-5.417662547,0,0 +13873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.63764779,-5.370591675,0,0 +13875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.24586596,-6.66228132,0,0 +13876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.63348766,-7.580628521,0,0 +13878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.901473616,-6.975488928,0,0 +13880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.80343496,-7.263612658,0,0 +13879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.06130133,-6.617364111,0,0 +13874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.65176641,-6.520380592,0,0 +13881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.32216646,-6.367974547,0,0 +13877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.61491911,-7.076567451,0,0 +13882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.64519719,-7.82212633,0,0 +13883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.10845514,-6.124801356,0,0 +13885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.11036746,-7.191686974,0,0 +13887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.68830636,-6.144572409,0,0 +13886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.66000024,-7.388785085,0,0 +13889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.61762008,-8.644638166,0,0 +13884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.78431838,-7.164895268,0,0 +13888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.2419902,-8.010365154,0,0 +13890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.46891027,-8.660982303,0,0 +13891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.0691767,-6.575402371,0,0 +13892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.12968249,-6.37882748,0,0 +13894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.06436998,-6.642462335,0,0 +13896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.4711439,-7.191888854,0,0 +13895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.78683578,-7.637967004,0,0 +13897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.06200017,-6.737368122,0,0 +13893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.13441999,-7.805169534,0,0 +13898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.07746904,-7.201936225,0,0 +13900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.58109979,-6.794626389,0,0 +13899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.31901993,-7.878683066,0,0 +13901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.1723085,-6.42927451,0,0 +13903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.57294645,-7.786933652,0,0 +13902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.3707593,-5.340199426,0,0 +13904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.65317107,-5.646790615,0,0 +13906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.4903058,-7.411784168,0,0 +13905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.7220605,-7.396943905,0,0 +13908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.76499098,-6.889219172,0,0 +13907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.48072558,-8.043692302,0,0 +13909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.18350348,-6.787280338,0,0 +13911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.55011915,-7.284254379,0,0 +13910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.47214733,-8.61245711,0,0 +13912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.43849492,-9.025387012,0,0 +13913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.55979144,-6.8999831,0,0 +13915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.59250437,-8.306180199,0,0 +13917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.69443774,-5.299530561,0,0 +13914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.66606477,-8.547834208,0,0 +13919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.31559589,-7.2231282,0,0 +13916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.930726842,-8.486698757,0,0 +13920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.13797646,-6.62152425,0,0 +13918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.44278237,-5.840967137,0,0 +13921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.39241831,-7.28074402,0,0 +13922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.20847088,-6.060927339,0,0 +13923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.45750796,-6.199795544,0,0 +13926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.14811442,-8.447884374,0,0 +13925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.55262472,-9.591216158,0,0 +13927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.8421582,-6.918543397,0,0 +13928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.03994771,-7.581077142,0,0 +13924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.38981477,-7.328120761,0,0 +13929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.60164207,-8.48538291,0,0 +13930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.22505317,-5.146688705,0,0 +13933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.11274812,-6.985527611,0,0 +13931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.05915098,-7.546310632,0,0 +13932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.11383824,-6.074134124,0,0 +13935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.71082833,-6.632883139,0,0 +13934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.56086967,-6.177153111,0,0 +13938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.08015783,-7.928688955,0,0 +13937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.29800845,-8.252335925,0,0 +13940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.32722926,-5.897674209,0,0 +13936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.30611477,-8.676847666,0,0 +13939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.07814391,-5.857491509,0,0 +13941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.02753907,-7.440416406,0,0 +13942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.08206297,-6.821911728,0,0 +13943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.40064707,-6.247053683,0,0 +13944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.22411735,-5.30443602,0,0 +13945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.00031497,-6.025786565,0,0 +13946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.57662878,-7.528985127,0,0 +13947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.73795454,-7.115388679,0,0 +13948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.18596854,-5.565823578,0,0 +13950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.1963517,-8.154815281,0,0 +13949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.56282616,-7.090920203,0,0 +13951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.57442033,-7.201044431,0,0 +13952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.910053689,-6.410109086,0,0 +13954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.02831235,-6.812041679,0,0 +13953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.51130314,-8.823675661,0,0 +13956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.2458963,-5.252026694,0,0 +13958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.51412544,-7.207294789,0,0 +13955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.990541887,-6.529679386,0,0 +13957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.89559173,-6.754707575,0,0 +13959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.57486994,-7.191670166,0,0 +13960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.42507161,-8.209088784,0,0 +13962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.897058843,-6.351785292,0,0 +13961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.41511485,-7.53661876,0,0 +13964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.30683296,-7.892439611,0,0 +13966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.13050222,-7.851660869,0,0 +13963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.09016289,-5.195955516,0,0 +13965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.30990765,-6.702071641,0,0 +13967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.50517647,-4.587795718,0,0 +13970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.71541713,-7.65119555,0,0 +13969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.38944941,-8.072391151,0,0 +13968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.06445713,-6.898925375,0,0 +13973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.3948715,-6.018406881,0,0 +13972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.35165962,-7.238192908,0,0 +13971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.59170655,-7.248363231,0,0 +13975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.66621304,-6.633624748,0,0 +13976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.32461111,-7.478092198,0,0 +13978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.1669301,-5.119688268,0,0 +13974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.06058892,-6.63597858,0,0 +13977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.13118955,-7.598856425,0,0 +13979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.36898688,-8.002758038,0,0 +13980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.950106436,-6.168311906,0,0 +13981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-9.913943416,-6.19355392,0,0 +13982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.25604129,-6.550312304,0,0 +13986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.40832128,-7.948145392,0,0 +13983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.43443205,-8.420696871,0,0 +13985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.06162199,-7.349978461,0,0 +13984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.68697502,-7.081526254,0,0 +13987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.80358579,-7.859225478,0,0 +13990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.1287323,-5.845406981,0,0 +13988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.11487409,-8.933245907,0,0 +13992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.68325697,-8.97276491,0,0 +13989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.32916185,-7.653777353,0,0 +13991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.48772827,-7.551423253,0,0 +13993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.40161538,-7.40268194,0,0 +13996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.6576632,-6.789280204,0,0 +13995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.61494152,-8.049941483,0,0 +13997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.35348848,-8.904018491,0,0 +13994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.52829735,-6.712692349,0,0 +13999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.07592006,-7.777829679,0,0 +13998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.49338488,-6.579898173,0,0 +14000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.65,10,1,-10.09266275,-5.117770781,0,0 +14001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.4201878,-7.195765595,0,0 +14003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.61854843,-7.119012311,0,0 +14004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.430252,-8.139383413,0,0 +14005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.6353427,-7.209438846,0,0 +14002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.28302073,-6.924690858,0,0 +14007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.12368492,-5.690794299,0,0 +14006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.76504745,-7.726420645,0,0 +14009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.03821836,-6.468077991,0,0 +14008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.12142677,-7.573784436,0,0 +14013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.46525275,-7.520801974,0,0 +14014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.988741976,-7.476101142,0,0 +14015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.40890235,-6.405206228,0,0 +14011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.22257332,-7.583868441,0,0 +14016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.40875003,-7.871374718,0,0 +14017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.28162713,-7.547995497,0,0 +14010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.46609785,-8.238700601,0,0 +14012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.04098411,-6.878282416,0,0 +14018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.24833805,-7.564726793,0,0 +14020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.53556376,-8.535594052,0,0 +14021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.62211068,-8.719049879,0,0 +14022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.79622441,-7.668014249,0,0 +14019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.17766062,-5.936651845,0,0 +14024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.22365767,-5.894150879,0,0 +14023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.05159252,-8.051850551,0,0 +14026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.80419607,-7.397427962,0,0 +14025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.07923012,-7.205882257,0,0 +14028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.12138076,-7.282484809,0,0 +14027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.44118544,-8.097583088,0,0 +14029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.52409689,-7.019976297,0,0 +14030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.20751336,-5.240304639,0,0 +14032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.75012961,-7.666653924,0,0 +14033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.71551519,-8.21463294,0,0 +14031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.12387926,-7.779724874,0,0 +14036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.66767407,-8.101398153,0,0 +14037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.72830965,-6.505591391,0,0 +14038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.56500919,-6.690692172,0,0 +14035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.21417225,-7.731800953,0,0 +14034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.31004919,-7.913028877,0,0 +14041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.27931283,-7.701136554,0,0 +14039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.57436481,-5.668212864,0,0 +14040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.50367226,-6.898718675,0,0 +14043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.78285026,-7.631189816,0,0 +14042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.02410126,-6.548217213,0,0 +14044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.00946112,-7.714046704,0,0 +14045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.83094272,-7.847940708,0,0 +14046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.04277063,-6.677518742,0,0 +14048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.58603016,-6.944010811,0,0 +14049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.20711171,-7.511172787,0,0 +14050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.37297027,-7.844531989,0,0 +14051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.30426577,-7.519237837,0,0 +14047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.15533167,-6.6792815,0,0 +14052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.01623845,-8.987625202,0,0 +14056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.81772636,-8.622400317,0,0 +14053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.03808847,-6.731621977,0,0 +14054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.24281292,-6.755903675,0,0 +14055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.38808114,-6.943128569,0,0 +14057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.16376201,-8.567924537,0,0 +14059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.12578498,-8.862830129,0,0 +14060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.45942186,-8.240683438,0,0 +14058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.12632057,-7.595161002,0,0 +14061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.04609703,-7.986886484,0,0 +14064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.904618226,-6.764594491,0,0 +14062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.47220731,-8.936583284,0,0 +14063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.26374336,-8.120936472,0,0 +14065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.12230257,-6.630492955,0,0 +14067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.981908818,-7.255666053,0,0 +14068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.22892947,-7.129708705,0,0 +14066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.26576798,-8.360492519,0,0 +14071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.2038319,-7.292182258,0,0 +14070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.64011396,-8.686007553,0,0 +14069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.19761729,-6.865721951,0,0 +14073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.55758758,-8.092975019,0,0 +14074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.19528625,-8.111901789,0,0 +14075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.47232016,-7.7248158,0,0 +14077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.48722702,-7.079191834,0,0 +14078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.23139359,-8.562925933,0,0 +14076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.24729613,-7.264797475,0,0 +14080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.76182788,-6.594082437,0,0 +14072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.83306663,-8.395343901,0,0 +14081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.64594568,-7.975746703,0,0 +14079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.73458679,-8.002745029,0,0 +14085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.82418128,-8.337422459,0,0 +14084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.18403502,-7.148652217,0,0 +14086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.40467135,-6.789609546,0,0 +14083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.2180722,-8.180160267,0,0 +14082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.7059497,-8.994935796,0,0 +14088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.79327163,-8.602817119,0,0 +14087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.34999579,-7.204239507,0,0 +14089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.53074639,-7.973806494,0,0 +14092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.65752901,-8.164584892,0,0 +14093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.33276242,-6.988763761,0,0 +14090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.27954761,-8.755435577,0,0 +14095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.75823095,-7.550094619,0,0 +14094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.61730209,-8.891460282,0,0 +14096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.09143729,-7.069397968,0,0 +14097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.02199754,-7.196023418,0,0 +14091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.74502031,-7.850023395,0,0 +14098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.38751575,-7.573361705,0,0 +14100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.08015597,-7.017006676,0,0 +14099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.40175978,-7.35135018,0,0 +14101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.23439895,-6.777437433,0,0 +14102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.77011424,-8.323386677,0,0 +14104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.48137548,-5.745107633,0,0 +14105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.40632759,-6.840123168,0,0 +14106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.60481018,-7.235935664,0,0 +14108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.4004588,-8.218030057,0,0 +14103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.01286065,-6.731155022,0,0 +14109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.17994316,-8.496272221,0,0 +14107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.75800724,-9.175309675,0,0 +14110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.46240183,-7.724286808,0,0 +14111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.10569301,-7.88641469,0,0 +14113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.27212055,-8.174331006,0,0 +14112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.05633043,-7.602223764,0,0 +14114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.74650318,-9.121456914,0,0 +14117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.25580892,-7.874449059,0,0 +14116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.41935644,-8.399069567,0,0 +14118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.64817151,-7.774990007,0,0 +14121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.71916921,-8.326684013,0,0 +14119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.03377128,-7.53362339,0,0 +14120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.42950886,-7.900261059,0,0 +14123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.66060682,-7.935603666,0,0 +14124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.49112364,-7.129931519,0,0 +14115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.5370447,-7.246822582,0,0 +14122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.997267179,-7.403176953,0,0 +14125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.33522488,-7.124234291,0,0 +14126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.74588886,-6.813691464,0,0 +14128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.16561145,-6.168326596,0,0 +14129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.6376775,-6.142534686,0,0 +14130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.38118504,-8.025793969,0,0 +14132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.78237071,-7.371340629,0,0 +14131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.62883821,-8.319276567,0,0 +14127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.20966735,-7.652844815,0,0 +14133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.15716442,-7.736977849,0,0 +14134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.28481267,-5.644023832,0,0 +14135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.52516058,-7.79766297,0,0 +14137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.6895902,-8.070466405,0,0 +14136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.39249031,-8.839546995,0,0 +14138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.64987769,-7.259365722,0,0 +14139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.92743232,-8.017733869,0,0 +14140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.01311673,-7.955253555,0,0 +14142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.724996,-7.469340792,0,0 +14144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.71539604,-7.285438997,0,0 +14141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.43356658,-7.132673327,0,0 +14145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.20717277,-8.383576154,0,0 +14143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.45243863,-7.796270496,0,0 +14148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.39883134,-8.54739325,0,0 +14146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.26781488,-7.909799446,0,0 +14147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.65524865,-7.122103835,0,0 +14149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.68686493,-7.483938181,0,0 +14152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.01109484,-7.526315942,0,0 +14151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.00795289,-5.593120133,0,0 +14150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.54934494,-7.415988387,0,0 +14153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.01611249,-9.147048129,0,0 +14155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.84316,-9.50584434,0,0 +14154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.40627938,-7.962022613,0,0 +14157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.50909128,-8.292995656,0,0 +14158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.65527264,-7.552422248,0,0 +14160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.41467049,-8.13663128,0,0 +14161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.24952728,-7.223246522,0,0 +14156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.19562538,-7.183494759,0,0 +14159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.36622164,-7.52942032,0,0 +14163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.08658083,-8.441178399,0,0 +14162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.50736422,-8.522186808,0,0 +14164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.933446983,-7.770844181,0,0 +14165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.61667482,-7.725216184,0,0 +14166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.73969827,-8.505865233,0,0 +14167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.08497986,-8.539260697,0,0 +14168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.18784806,-6.841148207,0,0 +14169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.67226626,-7.755840945,0,0 +14170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.2475513,-7.085988859,0,0 +14171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.63027423,-8.160224626,0,0 +14172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.50299611,-7.063676683,0,0 +14173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.46702357,-6.350000135,0,0 +14175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.56624198,-8.547981013,0,0 +14174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.64877231,-9.00703894,0,0 +14178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.55909797,-7.665481193,0,0 +14177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.76663328,-8.017344047,0,0 +14176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.13420499,-7.653787752,0,0 +14179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.28342087,-8.256241012,0,0 +14180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.72715827,-8.45734267,0,0 +14181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.47366246,-8.064487461,0,0 +14182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.21820885,-7.380382178,0,0 +14183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.42810831,-7.70030177,0,0 +14185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.48433994,-7.16922872,0,0 +14186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.45353671,-6.922286,0,0 +14187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.62114196,-7.711505434,0,0 +14188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.18480339,-8.076258219,0,0 +14190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.07722127,-7.339861395,0,0 +14189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.56409407,-7.091819537,0,0 +14184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.49257811,-8.422339825,0,0 +14191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.26628633,-7.34391348,0,0 +14192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.935611979,-7.660344562,0,0 +14198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.63887741,-6.500126026,0,0 +14197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.57548273,-8.526349909,0,0 +14196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.51986743,-8.706299122,0,0 +14193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.51337236,-8.694642614,0,0 +14199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.52855011,-7.600667415,0,0 +14195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.23836163,-7.164579576,0,0 +14200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.1031434,-7.785760649,0,0 +14194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.65148825,-7.528786655,0,0 +14201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.15614455,-7.293318915,0,0 +14202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.28247696,-8.250855574,0,0 +14203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.40309643,-8.669312087,0,0 +14204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.54981181,-9.428523558,0,0 +14205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.73757685,-6.101387555,0,0 +14206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.46555498,-7.557266371,0,0 +14207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.68228872,-9.969290856,0,0 +14208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.36134631,-9.721913795,0,0 +14209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.0579838,-7.041162289,0,0 +14210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.73079142,-7.586873701,0,0 +14211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.35577728,-7.631673308,0,0 +14213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.13976174,-6.845807467,0,0 +14214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.57596032,-8.95961533,0,0 +14212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.59412756,-7.063757484,0,0 +14216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.14135566,-7.969764966,0,0 +14217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.61221247,-6.702096175,0,0 +14218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.56675144,-7.19015,0,0 +14219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.991955409,-6.817625675,0,0 +14215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.970527216,-7.903014579,0,0 +14220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.29700461,-7.927420227,0,0 +14221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.53856059,-7.290502428,0,0 +14222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.73509623,-9.327379349,0,0 +14225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.09818673,-8.552974379,0,0 +14227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.35158413,-7.830984858,0,0 +14224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.51915604,-7.153109968,0,0 +14226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.26812418,-6.529944384,0,0 +14228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.992754315,-7.715422735,0,0 +14223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.05498615,-7.219932616,0,0 +14229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.47336623,-6.769475355,0,0 +14230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.14720385,-7.989576255,0,0 +14231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.099508,-7.460799147,0,0 +14233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.74218818,-7.380878752,0,0 +14234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.69715142,-8.000035114,0,0 +14232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.82405714,-8.456273299,0,0 +14235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.29506619,-7.928253669,0,0 +14236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.37256239,-6.809655083,0,0 +14237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.40431849,-8.521668119,0,0 +14239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.82562157,-8.588605451,0,0 +14238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.989347368,-6.508083131,0,0 +14241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.37039075,-7.110255999,0,0 +14240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.14843805,-7.162775536,0,0 +14242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.29043996,-6.808773202,0,0 +14243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.55758218,-6.474888337,0,0 +14244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.48741299,-7.942577532,0,0 +14246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.40813341,-7.713294493,0,0 +14247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.14601332,-8.739780667,0,0 +14248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.59231709,-7.080104962,0,0 +14249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.37949507,-8.615151904,0,0 +14250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.00094639,-7.117877316,0,0 +14245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.23944659,-7.084541396,0,0 +14252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.14258627,-5.845968996,0,0 +14251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.38357593,-7.36268671,0,0 +14253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.7493566,-9.193575083,0,0 +14255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.54815625,-8.122579805,0,0 +14254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.01003104,-7.882833144,0,0 +14257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.51746656,-7.889467369,0,0 +14256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.51522865,-7.590988238,0,0 +14259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.6684381,-7.594864705,0,0 +14260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.15777393,-6.959773501,0,0 +14258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.43123717,-7.737521947,0,0 +14261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.55940046,-6.110506337,0,0 +14263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.52986449,-6.97535776,0,0 +14264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.45618025,-9.247582962,0,0 +14262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.45518772,-8.082199414,0,0 +14265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.1463666,-7.041244596,0,0 +14266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.48599657,-7.951051634,0,0 +14267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.67234522,-7.805469685,0,0 +14269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.16347958,-6.372495464,0,0 +14268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.11945868,-8.939521428,0,0 +14271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.10630715,-7.518889596,0,0 +14272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.28204225,-6.016468774,0,0 +14270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.26430237,-5.693801295,0,0 +14274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.44293944,-6.755428002,0,0 +14275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.45800755,-7.153218951,0,0 +14276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.27250782,-7.137091783,0,0 +14273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.66389076,-7.125306432,0,0 +14278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.53148493,-7.202046203,0,0 +14279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.30689303,-8.413684574,0,0 +14277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.04562407,-6.524451159,0,0 +14280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.1896278,-8.35836835,0,0 +14282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.8478757,-7.945666447,0,0 +14283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.38801966,-6.434158848,0,0 +14281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.34322345,-7.334694586,0,0 +14285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.4263646,-6.303011128,0,0 +14286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.39708529,-7.355627476,0,0 +14287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.55414312,-9.0910505,0,0 +14284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.19058222,-8.418297303,0,0 +14288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.975110064,-6.131249127,0,0 +14290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.81142275,-9.168036092,0,0 +14291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.13632413,-8.501610329,0,0 +14292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.17017607,-8.612100257,0,0 +14293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.918766515,-6.114797107,0,0 +14289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.21245369,-6.853018786,0,0 +14294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.34767052,-7.521593595,0,0 +14295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.34782636,-8.577558813,0,0 +14297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.44413539,-6.486426115,0,0 +14296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.83936775,-7.701770919,0,0 +14299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.973241557,-6.722241893,0,0 +14300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.96870445,-8.807071951,0,0 +14298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.67349377,-7.541957097,0,0 +14301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.53501108,-8.195938622,0,0 +14302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.49502507,-7.929667845,0,0 +14303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.58627249,-7.776440304,0,0 +14304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.20956071,-6.148836256,0,0 +14305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.13561906,-7.767971716,0,0 +14306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.04115063,-8.359366921,0,0 +14307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.53687627,-6.614169283,0,0 +14308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.23580599,-8.333400053,0,0 +14309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.36985087,-7.780813161,0,0 +14310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.0631472,-7.169490266,0,0 +14311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.01432316,-8.089549308,0,0 +14312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.02760867,-6.984076554,0,0 +14313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.00012746,-8.119084502,0,0 +14314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.58529695,-9.269402349,0,0 +14315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.20173241,-5.468577882,0,0 +14317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.58671922,-7.206551329,0,0 +14316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.62339152,-8.567333344,0,0 +14318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.592909,-8.898479589,0,0 +14319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.51571054,-6.927228235,0,0 +14320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.50648901,-7.41875264,0,0 +14321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.8100888,-6.826375193,0,0 +14322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.18804203,-7.503447515,0,0 +14323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.19412437,-7.945075057,0,0 +14325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.32714438,-8.471375553,0,0 +14326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.25114575,-7.361715487,0,0 +14327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.7329839,-7.49194046,0,0 +14324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.17590428,-8.305296103,0,0 +14328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.34014663,-6.843673177,0,0 +14330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.75717218,-7.234292831,0,0 +14331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.21525319,-8.869217194,0,0 +14329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.10181932,-8.590656008,0,0 +14334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.57827591,-6.879002167,0,0 +14332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.983138125,-8.105355337,0,0 +14335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.14834357,-6.692783345,0,0 +14333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.78408168,-8.753176,0,0 +14337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.34792501,-9.104471344,0,0 +14336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.33117706,-7.857525303,0,0 +14338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.2994692,-7.374785504,0,0 +14339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.00947129,-7.238146415,0,0 +14341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.69720607,-6.930452448,0,0 +14340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.921937587,-7.79053626,0,0 +14342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.09883225,-6.01651712,0,0 +14343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.58185936,-7.44355432,0,0 +14344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.23569379,-6.919205722,0,0 +14345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.36973953,-6.821135281,0,0 +14346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.988207594,-6.068924236,0,0 +14348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.70668464,-7.144119715,0,0 +14349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.67285264,-8.40279292,0,0 +14350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.00074912,-7.145040666,0,0 +14351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.50491824,-6.935207519,0,0 +14347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.17379468,-7.835582376,0,0 +14352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.979666971,-7.12225451,0,0 +14353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.68360379,-9.45353915,0,0 +14354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.08180075,-6.098564654,0,0 +14357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.02930409,-7.381429483,0,0 +14358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.55882973,-8.464966545,0,0 +14355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.41128615,-7.415717182,0,0 +14356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.942679026,-6.322148841,0,0 +14360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.26606794,-8.881942244,0,0 +14361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.51497044,-7.948992849,0,0 +14362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.5530678,-6.450926199,0,0 +14359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.932443922,-6.790433672,0,0 +14364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.56764119,-7.95837504,0,0 +14365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.51858543,-7.619662201,0,0 +14366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.60105935,-8.918840658,0,0 +14367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.3762214,-9.057246916,0,0 +14363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.61901607,-6.467181888,0,0 +14368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.64711363,-8.070372904,0,0 +14369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.55420052,-7.978824521,0,0 +14370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.995961436,-6.429046081,0,0 +14373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.51019142,-5.955043134,0,0 +14375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.11509638,-6.761934101,0,0 +14374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.54684584,-8.878025483,0,0 +14376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.36015982,-8.229470602,0,0 +14371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.46909503,-7.971746141,0,0 +14377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.64857678,-8.89223891,0,0 +14372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.57080773,-8.582692356,0,0 +14378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.958373232,-7.640382774,0,0 +14379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.24875363,-6.388667683,0,0 +14380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.77980072,-7.972906934,0,0 +14381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.19407927,-8.109360826,0,0 +14382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.66914587,-7.629914637,0,0 +14383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.903771209,-7.089098656,0,0 +14384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.49525317,-6.810016333,0,0 +14385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.56237672,-9.044885364,0,0 +14387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.23230135,-7.490116759,0,0 +14388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.70134322,-6.622558032,0,0 +14390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.11264034,-7.271625615,0,0 +14391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.45954683,-7.166649058,0,0 +14389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.21169759,-6.718690777,0,0 +14392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.29845814,-8.333059159,0,0 +14393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.19213025,-7.834296647,0,0 +14386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.15593618,-7.962436256,0,0 +14395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.49832953,-6.393487033,0,0 +14394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.43832456,-8.835837178,0,0 +14396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.03884154,-8.055135454,0,0 +14398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.58541483,-8.614319755,0,0 +14397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.09756619,-7.895714889,0,0 +14399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.27050386,-7.90377169,0,0 +14400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.57839613,-6.706605947,0,0 +14401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.71960759,-9.154640613,0,0 +14402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.36618601,-7.282667113,0,0 +14403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.0463824,-8.008353502,0,0 +14404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.13754073,-8.113190235,0,0 +14406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.58888327,-7.939085797,0,0 +14407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.77395571,-8.429153556,0,0 +14405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.63377542,-8.764731474,0,0 +14408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.58890879,-7.531397419,0,0 +14410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.24584476,-7.165186299,0,0 +14411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.13078064,-7.638069509,0,0 +14409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.30363281,-8.060110744,0,0 +14412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.47712662,-7.182940025,0,0 +14413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.63406152,-8.489538513,0,0 +14415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.07723186,-7.370344369,0,0 +14414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.62763182,-8.335260478,0,0 +14416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.65502084,-7.277882009,0,0 +14417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.57139688,-7.335085932,0,0 +14419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.17985143,-9.056158445,0,0 +14420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.56960257,-7.948907959,0,0 +14423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.02029058,-6.908853893,0,0 +14421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.76793096,-9.017324895,0,0 +14418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.53959288,-6.470784769,0,0 +14424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.10311675,-7.490911775,0,0 +14422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.952681747,-7.380363437,0,0 +14425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.63989287,-8.943274078,0,0 +14427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.38657058,-7.985354573,0,0 +14430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.14526196,-7.644132628,0,0 +14428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.68473933,-7.769768712,0,0 +14429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.41887314,-9.122130184,0,0 +14426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.10304438,-7.431193598,0,0 +14431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.28098711,-7.635326489,0,0 +14432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.81561801,-5.828683276,0,0 +14433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.33961212,-7.168640989,0,0 +14434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.56181681,-7.890694413,0,0 +14437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.04896748,-7.500360384,0,0 +14435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.7581884,-9.528648399,0,0 +14436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.3143465,-7.361167801,0,0 +14439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.995074681,-6.725472981,0,0 +14438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.25150222,-7.846426926,0,0 +14440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.46420772,-7.661180251,0,0 +14441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.74407206,-8.689310392,0,0 +14442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.7067211,-6.17754362,0,0 +14445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.79064172,-8.460844458,0,0 +14443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.61363721,-7.134736112,0,0 +14444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.76158964,-7.074609605,0,0 +14446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.13646564,-7.532723211,0,0 +14448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.24408052,-6.616618928,0,0 +14449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.31552311,-7.44685316,0,0 +14447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.43227943,-5.852278908,0,0 +14450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.19615046,-7.279380244,0,0 +14452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.31597529,-5.916171492,0,0 +14453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.81474674,-7.962575548,0,0 +14454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.22971951,-7.506798543,0,0 +14451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.63019154,-7.221937584,0,0 +14455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.41372785,-7.777602299,0,0 +14456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.2309539,-8.31904353,0,0 +14458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.25844596,-6.641301724,0,0 +14457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.999386967,-6.482190688,0,0 +14459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.07883863,-7.984850753,0,0 +14460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.14220009,-7.863155401,0,0 +14461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.21951868,-5.160334148,0,0 +14462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.60149322,-8.973363013,0,0 +14464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.68386851,-6.853629951,0,0 +14463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.14944606,-6.109346391,0,0 +14465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.25595399,-7.088931953,0,0 +14467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.0076063,-7.667403529,0,0 +14468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.26479101,-7.781311714,0,0 +14469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.30323086,-8.722305102,0,0 +14466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.05042141,-8.323884908,0,0 +14472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.899158784,-6.896191031,0,0 +14473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.19351074,-6.840732881,0,0 +14470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.46721621,-7.55037817,0,0 +14471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.20697764,-8.302291282,0,0 +14474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.65631331,-9.276581932,0,0 +14475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.26026582,-6.983889938,0,0 +14476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.16520199,-6.711841056,0,0 +14477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.42978242,-7.257099922,0,0 +14479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.69580198,-8.173446313,0,0 +14480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.70825609,-7.4118743,0,0 +14481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.979435222,-5.952839016,0,0 +14478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.85805328,-7.758623966,0,0 +14482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.77940701,-7.448828335,0,0 +14483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.32042725,-5.809323011,0,0 +14485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.40071725,-6.286181763,0,0 +14486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.75009381,-8.4512244,0,0 +14488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.17786561,-7.7165064,0,0 +14484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.55300724,-8.648295102,0,0 +14489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.67666253,-8.466250391,0,0 +14487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.09029538,-6.649322297,0,0 +14490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.204373,-7.813434069,0,0 +14493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.78498291,-8.055207833,0,0 +14494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.24930934,-7.60344248,0,0 +14492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.82963791,-7.903207809,0,0 +14491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.11736262,-6.900616595,0,0 +14495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.39372571,-7.839346523,0,0 +14497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.80240682,-8.4145171,0,0 +14498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.42675449,-9.626222326,0,0 +14496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.52726029,-7.11412953,0,0 +14499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.35157154,-8.404665441,0,0 +14500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.30990633,-6.297911508,0,0 +14503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.59442418,-7.800657377,0,0 +14502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.26526881,-6.478024804,0,0 +14504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.14281661,-7.866272886,0,0 +14505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.08625644,-6.653230603,0,0 +14506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.949817171,-8.261479911,0,0 +14507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.02406843,-8.894777579,0,0 +14501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.16217055,-8.451662043,0,0 +14508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.59331346,-9.470271695,0,0 +14509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.70074985,-7.439957511,0,0 +14511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.44970059,-6.830640754,0,0 +14510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.27785693,-7.724437437,0,0 +14512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.1472102,-7.803158904,0,0 +14513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.1060784,-7.844553919,0,0 +14516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.19591137,-5.25887376,0,0 +14514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.54521723,-9.368114375,0,0 +14515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.16966731,-8.480441148,0,0 +14518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.34909722,-8.602939494,0,0 +14520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.12044904,-7.703164108,0,0 +14519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.81760998,-7.920905146,0,0 +14517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.77745479,-7.908813284,0,0 +14521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.7160702,-7.551364525,0,0 +14523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.39774321,-7.184381108,0,0 +14522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.84963552,-9.051987899,0,0 +14527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.09078998,-8.266878164,0,0 +14526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.58540746,-8.9507488,0,0 +14524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.78947561,-8.286555693,0,0 +14528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.54918386,-8.899684985,0,0 +14525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.08802687,-7.999363485,0,0 +14529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.18556314,-7.483409622,0,0 +14531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.23861273,-7.652761176,0,0 +14530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.57903731,-8.86101112,0,0 +14533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.68652657,-7.707800441,0,0 +14536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.57738959,-7.365866384,0,0 +14532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.4773458,-8.079110393,0,0 +14534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.72745472,-7.57556286,0,0 +14535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.76378583,-8.378004579,0,0 +14537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.18987542,-8.391328636,0,0 +14538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.05344641,-7.331971756,0,0 +14539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.62528102,-7.699852307,0,0 +14542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.21390851,-7.165424335,0,0 +14540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.39575954,-7.606826188,0,0 +14544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.70005812,-6.913804612,0,0 +14545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.4734706,-9.471454051,0,0 +14541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.006243,-7.005914391,0,0 +14546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.4521524,-6.465238522,0,0 +14547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.995654547,-7.545374114,0,0 +14548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.82894351,-6.865618859,0,0 +14549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.00206029,-6.590602975,0,0 +14551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.16921531,-7.229497657,0,0 +14552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.57691064,-6.60362759,0,0 +14543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.00469351,-7.183488129,0,0 +14550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.21535193,-8.980970578,0,0 +14553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.15956467,-6.9406182,0,0 +14554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.05269372,-7.545072418,0,0 +14556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.58698564,-7.253513549,0,0 +14555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.23050357,-6.747652547,0,0 +14560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.23087689,-7.405474755,0,0 +14559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.24612404,-7.370546374,0,0 +14561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.992810503,-5.643142142,0,0 +14562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.3407045,-7.545311354,0,0 +14558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.2277047,-7.121188819,0,0 +14557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.59898076,-8.081793606,0,0 +14563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.50131704,-8.492608152,0,0 +14564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.16650444,-7.741875841,0,0 +14567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.30256921,-7.635806424,0,0 +14565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.71658986,-7.307068362,0,0 +14569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.60732702,-8.117981083,0,0 +14568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.15168611,-6.396676768,0,0 +14570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.63317806,-8.205509992,0,0 +14566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.25130826,-7.713989547,0,0 +14571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.64354841,-7.191854055,0,0 +14573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.5229077,-6.887531412,0,0 +14572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.13335369,-6.626554306,0,0 +14574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.34062984,-7.254162751,0,0 +14576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.74557656,-7.854914238,0,0 +14577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.15632557,-7.721653822,0,0 +14579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.28261829,-7.874239391,0,0 +14578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.23027097,-6.857393751,0,0 +14575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.2447286,-8.652613328,0,0 +14580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.79350944,-8.188942119,0,0 +14582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.59897132,-7.913608142,0,0 +14581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.28988158,-7.029825536,0,0 +14583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.38692818,-6.685398813,0,0 +14584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.31934781,-8.010813604,0,0 +14585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.74309381,-6.699565156,0,0 +14587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.60198346,-7.837288046,0,0 +14586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.80692786,-7.804767029,0,0 +14588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.16439937,-6.967634666,0,0 +14590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.11386905,-7.245356336,0,0 +14589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.54964841,-8.407455654,0,0 +14591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.07211663,-7.335834437,0,0 +14593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.09739236,-8.11923853,0,0 +14594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.05446724,-6.661987515,0,0 +14592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.937454045,-6.199811414,0,0 +14596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.33692438,-7.563843202,0,0 +14595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.48903354,-6.747308769,0,0 +14597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.11270843,-7.397952571,0,0 +14598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.953379084,-7.797375829,0,0 +14599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.43437242,-7.294152107,0,0 +14600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.51501431,-6.805456299,0,0 +14602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.53712194,-6.662677184,0,0 +14601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.69957012,-7.693297171,0,0 +14603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.68541449,-8.034592525,0,0 +14605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.47137194,-7.699717807,0,0 +14604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.70262223,-8.949188392,0,0 +14606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.01666418,-6.702606411,0,0 +14607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.74418237,-8.104926451,0,0 +14608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.51302757,-7.604004596,0,0 +14610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.0833097,-8.419944213,0,0 +14609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.866381445,-6.477142362,0,0 +14611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.53678718,-8.749046768,0,0 +14612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.29940241,-7.954526515,0,0 +14614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.73010614,-8.631462772,0,0 +14615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.08818683,-7.876566701,0,0 +14613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.21133503,-6.146531511,0,0 +14616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.23143524,-8.448259846,0,0 +14617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.53401949,-7.823334751,0,0 +14618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.50197211,-8.166095162,0,0 +14619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.00475148,-6.202417754,0,0 +14620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.04753113,-7.434251063,0,0 +14621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.09486654,-7.001401353,0,0 +14622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.15086526,-7.600970357,0,0 +14623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.59337201,-7.80484022,0,0 +14624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.976091977,-9.595658919,0,0 +14626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.10578496,-7.751171133,0,0 +14625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.07190034,-6.057889196,0,0 +14628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.00881652,-6.742117797,0,0 +14629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.68252242,-8.606008326,0,0 +14627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.948885902,-7.235440286,0,0 +14630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.76635028,-7.274543373,0,0 +14631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.23584673,-7.559546727,0,0 +14632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.1183824,-6.685897564,0,0 +14633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.36746416,-6.421840791,0,0 +14634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.6238799,-8.147571002,0,0 +14635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.68066819,-8.792374365,0,0 +14637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.46525354,-6.258063749,0,0 +14636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.95648828,-8.616433826,0,0 +14638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.61049318,-7.103419963,0,0 +14640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.43468614,-7.703115728,0,0 +14639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.66366815,-6.360040636,0,0 +14641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.33148314,-8.353641922,0,0 +14642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.46013561,-5.903344922,0,0 +14643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.75599517,-7.067507942,0,0 +14644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.15360003,-8.874240926,0,0 +14645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.14098339,-8.252669785,0,0 +14646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.986230536,-6.432794123,0,0 +14647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.12771046,-7.034174602,0,0 +14649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.10544302,-7.943457943,0,0 +14650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.37564017,-8.058175643,0,0 +14648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.43177187,-6.999289867,0,0 +14651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.64236225,-8.504396021,0,0 +14652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.53968593,-7.943777087,0,0 +14654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.62685075,-8.725560788,0,0 +14653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.74112261,-7.579839452,0,0 +14655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.24122277,-7.500141711,0,0 +14656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.22931586,-8.292950366,0,0 +14657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.51417191,-5.542143635,0,0 +14659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.45091608,-6.475705533,0,0 +14661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.54494424,-7.763508174,0,0 +14658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.52111885,-7.552211895,0,0 +14662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.73670345,-7.702456532,0,0 +14663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.52476182,-7.786302019,0,0 +14660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.61026027,-6.898647466,0,0 +14664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.17750123,-6.048269605,0,0 +14665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.56872991,-7.298633538,0,0 +14666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.78451558,-8.005771741,0,0 +14667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.1032986,-9.397290139,0,0 +14669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.08389366,-7.781266299,0,0 +14668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.31754971,-7.731354961,0,0 +14670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.04180427,-8.078887791,0,0 +14671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.41612897,-8.200168953,0,0 +14672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.64487245,-7.659657455,0,0 +14673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.44334381,-6.821686604,0,0 +14674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.00550844,-7.297366622,0,0 +14675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.13933168,-7.984526081,0,0 +14677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.59676141,-7.773403232,0,0 +14676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.02195827,-7.546314543,0,0 +14680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.953030477,-9.162167922,0,0 +14678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.63034505,-8.65281116,0,0 +14681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.65132216,-8.844150867,0,0 +14679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.49976528,-5.945501407,0,0 +14683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.51627321,-8.165278278,0,0 +14682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.41856108,-8.015840789,0,0 +14684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.73783453,-7.088564494,0,0 +14685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.06389021,-6.416428081,0,0 +14688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.6638648,-7.563817487,0,0 +14686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.25529195,-7.458221305,0,0 +14689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.7220761,-7.739145003,0,0 +14687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.611367,-7.597007033,0,0 +14690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.33942845,-8.476887623,0,0 +14691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.56154735,-7.088900579,0,0 +14692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.71438179,-9.095601565,0,0 +14693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.27020049,-7.267313071,0,0 +14694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.70031716,-8.086604889,0,0 +14696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.71634457,-7.525164357,0,0 +14695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.965447943,-6.549559926,0,0 +14698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.14633923,-8.580144062,0,0 +14697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.23754723,-8.45971894,0,0 +14700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.57661247,-7.545995714,0,0 +14699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.42941433,-7.937556632,0,0 +14701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.33511095,-7.569734823,0,0 +14702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.26038884,-6.504710479,0,0 +14707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.07251488,-5.373538683,0,0 +14705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.61360036,-8.267841674,0,0 +14704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.59596432,-7.19620003,0,0 +14703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.20028988,-8.241905206,0,0 +14708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.07993829,-7.395752096,0,0 +14709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.39898332,-8.376232056,0,0 +14706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.38835851,-7.850374377,0,0 +14712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.05957823,-7.783316176,0,0 +14711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.98476033,-6.187339339,0,0 +14710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.36397687,-10.28019754,0,0 +14713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.1828292,-7.469417452,0,0 +14714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.3094226,-7.423724802,0,0 +14715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.66223765,-7.667157405,0,0 +14716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.996063935,-6.375501556,0,0 +14718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.42092533,-7.87611957,0,0 +14720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.69179829,-8.217892121,0,0 +14717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.988413206,-5.920392146,0,0 +14719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.3667717,-8.293538934,0,0 +14721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.1457084,-6.213839218,0,0 +14722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.15481874,-9.254769796,0,0 +14724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.11201354,-7.1762139,0,0 +14723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.16053592,-6.669410467,0,0 +14725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.43583318,-6.466509744,0,0 +14726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.60766937,-9.801984775,0,0 +14728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.29801729,-8.266294544,0,0 +14729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.865890271,-6.723075675,0,0 +14727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.09362241,-7.090715717,0,0 +14730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.09200513,-5.663444653,0,0 +14731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.02550284,-7.133011168,0,0 +14732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.5510473,-7.028512555,0,0 +14733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.61822261,-7.875258184,0,0 +14734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.29451308,-8.898965935,0,0 +14735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.02640466,-6.029097166,0,0 +14737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.03673032,-8.205641357,0,0 +14738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.80698645,-9.919108776,0,0 +14736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.35762085,-7.769119731,0,0 +14740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.937653161,-5.370418044,0,0 +14739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.28615617,-7.732841609,0,0 +14741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.39021365,-7.14725936,0,0 +14742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.32732374,-8.024503789,0,0 +14743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.20516525,-8.175029324,0,0 +14744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.35369837,-7.755542497,0,0 +14745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.36828577,-6.879548409,0,0 +14746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.5412512,-7.611781672,0,0 +14747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.66603566,-10.36336651,0,0 +14748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.84509977,-9.20546043,0,0 +14749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.49419895,-7.280873577,0,0 +14750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.02877372,-7.483996639,0,0 +14751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.21472915,-8.163141096,0,0 +14752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.935231744,-7.130837046,0,0 +14754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.55354209,-7.958138466,0,0 +14753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.14325526,-6.483373905,0,0 +14756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.41700272,-7.762454875,0,0 +14755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.08283594,-7.096326601,0,0 +14757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.09808334,-7.272362333,0,0 +14758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.33903527,-6.015935461,0,0 +14759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.41704104,-8.045261175,0,0 +14760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.55814142,-9.426661371,0,0 +14761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.56667157,-7.464360384,0,0 +14762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.67468679,-8.59929275,0,0 +14764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.39481996,-8.004808675,0,0 +14765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.13066872,-6.782369269,0,0 +14766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.79706487,-8.175408589,0,0 +14763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.24784908,-7.209052841,0,0 +14767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.06562524,-7.644139583,0,0 +14769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.68879378,-9.463564789,0,0 +14768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.964419759,-5.697225717,0,0 +14770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.61349638,-7.871543523,0,0 +14771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.56264276,-7.135382424,0,0 +14772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.43942479,-6.223415575,0,0 +14773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.1819277,-7.630701326,0,0 +14774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.08551023,-7.321332159,0,0 +14775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.03788498,-6.882225285,0,0 +14776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.61008231,-7.895674473,0,0 +14779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.41196543,-7.653348994,0,0 +14777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.24226539,-8.150877488,0,0 +14778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.05297945,-8.045025101,0,0 +14781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.989734526,-7.396753823,0,0 +14780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.11175815,-7.762441347,0,0 +14782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.31446405,-7.996646516,0,0 +14783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.67234441,-7.026149458,0,0 +14784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.04819898,-7.389183232,0,0 +14785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.5995339,-8.209399502,0,0 +14788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.45149996,-6.828785064,0,0 +14789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.29331917,-6.665519434,0,0 +14787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.42426559,-7.931308986,0,0 +14791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.05606034,-6.081682174,0,0 +14792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.01554813,-6.514038551,0,0 +14793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.32176127,-8.17077354,0,0 +14790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.25425607,-7.240135223,0,0 +14795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.6387208,-8.36149233,0,0 +14794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.47938892,-7.951302832,0,0 +14786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.79948471,-8.579653948,0,0 +14796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.20607886,-8.253078146,0,0 +14797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.59208607,-7.793404028,0,0 +14799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.6366995,-7.30897797,0,0 +14800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.24611148,-7.453927386,0,0 +14802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.48254076,-6.58772859,0,0 +14801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.50491163,-6.106287405,0,0 +14803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.4403828,-6.245898826,0,0 +14798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.04682472,-7.146531673,0,0 +14805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.5537162,-8.087898017,0,0 +14804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.41299766,-7.589790911,0,0 +14806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.1511077,-7.314022538,0,0 +14807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.47498746,-7.704322648,0,0 +14808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.47228925,-6.804808533,0,0 +14809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.96091109,-7.808450176,0,0 +14811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.56272168,-7.104167338,0,0 +14812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.941502547,-7.035562552,0,0 +14810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.39536723,-8.107666747,0,0 +14813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.50581656,-7.8375757,0,0 +14815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.71934772,-8.469110254,0,0 +14814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.0978181,-6.36705395,0,0 +14816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.17613278,-6.468963489,0,0 +14817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.81968856,-6.83293867,0,0 +14818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.12026392,-7.794930697,0,0 +14819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.50634807,-7.087252696,0,0 +14821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.23422607,-7.574911213,0,0 +14823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.37712812,-5.802619724,0,0 +14820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.06926449,-8.397229116,0,0 +14824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.04975553,-7.285907849,0,0 +14825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.48663066,-6.923448287,0,0 +14822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.06068916,-6.168046436,0,0 +14826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.00983105,-6.311858315,0,0 +14827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.1548907,-7.188141183,0,0 +14828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.7648535,-7.442111665,0,0 +14830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.07017867,-8.023287721,0,0 +14831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.11418433,-8.68712183,0,0 +14832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.46092225,-9.086557414,0,0 +14829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.69556179,-9.030867768,0,0 +14835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.02043833,-8.16429678,0,0 +14834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.58519208,-7.043478007,0,0 +14833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.25138269,-7.147614981,0,0 +14837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.48704519,-5.994900152,0,0 +14838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.18686701,-7.229258816,0,0 +14839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.60005964,-8.029090983,0,0 +14836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.17109549,-7.453494171,0,0 +14840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.45066692,-7.712453466,0,0 +14841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.05731892,-6.767573664,0,0 +14842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.03900534,-6.312459617,0,0 +14843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.56360875,-8.814405887,0,0 +14844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.48028305,-8.380887967,0,0 +14845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.25254626,-7.565327547,0,0 +14846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.84789698,-7.40063583,0,0 +14847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.34529589,-6.23787395,0,0 +14849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.34386853,-8.779785513,0,0 +14848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.49805715,-8.259245838,0,0 +14851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.10315675,-7.386604193,0,0 +14850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.74792999,-8.559024742,0,0 +14852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.67501548,-9.072892716,0,0 +14854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.16645852,-6.441557263,0,0 +14855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.68842297,-8.204950593,0,0 +14856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.55147005,-8.755634368,0,0 +14853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.36244456,-8.392919309,0,0 +14857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.925830106,-7.557776181,0,0 +14858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.44898334,-8.926335257,0,0 +14860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.59165325,-7.895074717,0,0 +14859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.26469088,-7.127872116,0,0 +14861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.22604851,-8.388972539,0,0 +14863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.46139117,-7.910326197,0,0 +14862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.3071783,-8.43793794,0,0 +14864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.44937822,-7.555451313,0,0 +14865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.81531635,-7.437273009,0,0 +14866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.097667,-6.398048203,0,0 +14867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.992335425,-6.916589502,0,0 +14868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.71340044,-8.592836175,0,0 +14869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.52929601,-6.108937966,0,0 +14871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.10247943,-6.386663129,0,0 +14870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.38056916,-8.268741888,0,0 +14874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.63503926,-7.390536041,0,0 +14872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.64216353,-8.38736551,0,0 +14873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.55030282,-8.775781598,0,0 +14875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.37264785,-8.569680611,0,0 +14876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.25922996,-7.689845717,0,0 +14877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.72818849,-8.994455478,0,0 +14879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.21582715,-7.6810669,0,0 +14878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.992946674,-7.87426243,0,0 +14880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.956214483,-6.694602466,0,0 +14882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.5788191,-8.079262369,0,0 +14883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.36548149,-6.851815238,0,0 +14884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.36573295,-10.02276073,0,0 +14885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.39350515,-7.350495786,0,0 +14881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.72723512,-7.016190046,0,0 +14886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.21592843,-6.910494328,0,0 +14887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.80662559,-7.651685105,0,0 +14888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.61616895,-7.715953372,0,0 +14890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.35195284,-8.910651063,0,0 +14891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.72598016,-6.097845081,0,0 +14889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.16843708,-6.69254314,0,0 +14892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.64383815,-8.647086229,0,0 +14894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.57587894,-9.342637014,0,0 +14893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.75985974,-8.752409128,0,0 +14895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.74459015,-8.077715902,0,0 +14896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.53493337,-7.857475336,0,0 +14897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.39218643,-8.601835906,0,0 +14898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.06170957,-7.418669418,0,0 +14899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.07008534,-6.264700917,0,0 +14900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.60693253,-7.246721743,0,0 +14901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.53045194,-8.876339193,0,0 +14902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.6410743,-8.594825201,0,0 +14904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.71742165,-7.129728069,0,0 +14905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.81518283,-8.372044748,0,0 +14903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.72320318,-6.892586453,0,0 +14906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.74243264,-8.738728959,0,0 +14907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.67771543,-6.733264776,0,0 +14908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.70013246,-8.731322594,0,0 +14909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.50535911,-6.662483437,0,0 +14910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.16245566,-6.574271587,0,0 +14912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.907086168,-8.82061643,0,0 +14911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.76345131,-7.123682678,0,0 +14913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.32697185,-6.88282208,0,0 +14914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.0523178,-7.133379658,0,0 +14915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.09222307,-7.825601034,0,0 +14916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.2619153,-6.447954206,0,0 +14917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.18234514,-5.137064245,0,0 +14920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.78257006,-7.229688123,0,0 +14919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.1430763,-8.331884107,0,0 +14921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.965397915,-8.011944861,0,0 +14922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.47740425,-9.448713464,0,0 +14923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.68186429,-6.801442443,0,0 +14924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.19347117,-6.312291627,0,0 +14925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.63811682,-8.053497517,0,0 +14918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.00760442,-6.372933715,0,0 +14926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.917688173,-7.430807357,0,0 +14927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.877782233,-7.689367063,0,0 +14928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.04318441,-6.855824072,0,0 +14929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.52605205,-8.331569394,0,0 +14931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.12288223,-7.932524449,0,0 +14930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.58227971,-7.359726328,0,0 +14932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.929822356,-7.930322559,0,0 +14933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.76434149,-8.189874964,0,0 +14934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.54672005,-9.358647717,0,0 +14935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.72397613,-6.942787266,0,0 +14936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.40957716,-8.781657701,0,0 +14937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.962590305,-7.865196778,0,0 +14938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.72619389,-7.990237653,0,0 +14939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.12187182,-6.587416254,0,0 +14940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.56181873,-6.552255495,0,0 +14941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.15509783,-9.526424934,0,0 +14942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.11655707,-6.182668786,0,0 +14943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.09159049,-7.615048121,0,0 +14944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.31143769,-9.187783644,0,0 +14946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.13788396,-8.653793283,0,0 +14948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.44165676,-6.851950041,0,0 +14947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.54393729,-7.978271841,0,0 +14945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.17824792,-8.147086894,0,0 +14950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.62636746,-8.115601857,0,0 +14951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.49107229,-6.337138472,0,0 +14949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.22920709,-7.962049173,0,0 +14952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.61462703,-7.174627623,0,0 +14953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.19157766,-7.85127857,0,0 +14954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.30627591,-7.477738852,0,0 +14955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.79451116,-9.060237627,0,0 +14956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.45788389,-10.35592477,0,0 +14957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.63022865,-8.796245374,0,0 +14958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.12367749,-8.180738257,0,0 +14959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.77926687,-7.453333976,0,0 +14961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.56332816,-6.344710994,0,0 +14960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.56559549,-9.227221364,0,0 +14962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.29786617,-6.846362653,0,0 +14964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.13520083,-8.362311506,0,0 +14963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.22128254,-9.443855374,0,0 +14965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.50681115,-8.667591398,0,0 +14966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.76486793,-7.247913129,0,0 +14968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.04783549,-6.876746753,0,0 +14970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.57308544,-7.874771231,0,0 +14969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.6380548,-7.614494812,0,0 +14972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.43682709,-7.543472789,0,0 +14967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.13490381,-8.412188185,0,0 +14971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.49948564,-7.786234915,0,0 +14974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.39188064,-7.466784816,0,0 +14973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.72294046,-8.785879419,0,0 +14975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.34732343,-6.522562486,0,0 +14976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.43592979,-8.669623195,0,0 +14977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.6310232,-7.178162759,0,0 +14978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.28613072,-6.628484093,0,0 +14980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.29126992,-6.626274897,0,0 +14979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-9.931552886,-7.85489696,0,0 +14981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.4520433,-7.324031107,0,0 +14982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.65791083,-7.194043824,0,0 +14984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.54683065,-5.885983808,0,0 +14983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.50914276,-7.487389378,0,0 +14985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.0717603,-7.570190316,0,0 +14986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.72814324,-7.165948068,0,0 +14987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.6817312,-8.92570319,0,0 +14989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.21965001,-7.977428938,0,0 +14990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.68121882,-7.113381682,0,0 +14988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.35040024,-7.453765553,0,0 +14991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.03248076,-6.876635938,0,0 +14992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.70870854,-7.866740079,0,0 +14993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.56949597,-8.351084216,0,0 +14994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.5109124,-6.969186417,0,0 +14995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.47182585,-6.531146171,0,0 +14996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.01725044,-8.201168775,0,0 +14997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.17281016,-7.692768008,0,0 +14998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.70071401,-8.48823522,0,0 +14999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.71090271,-8.007077191,0,0 +15000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.7,10,1,-10.12657996,-7.948641318,0,0 +15001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.53688757,-6.954420059,0,0 +15002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.79911646,-7.265820269,0,0 +15004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.01372134,-7.29830222,0,0 +15003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.67136529,-8.651826984,0,0 +15005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.27861629,-7.678128544,0,0 +15009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.02630181,-8.787106079,0,0 +15007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.09458684,-7.077104778,0,0 +15008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.36291072,-7.921802318,0,0 +15010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.48182776,-7.735040432,0,0 +15011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.26982169,-8.183216589,0,0 +15012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.26298841,-7.716276457,0,0 +15006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.37902653,-7.907947869,0,0 +15013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.39200181,-8.313410987,0,0 +15015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.14167774,-7.785212603,0,0 +15014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.20807611,-7.74395388,0,0 +15016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.49691146,-7.7046834,0,0 +15018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.5417609,-8.999177013,0,0 +15019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.98772193,-7.802701451,0,0 +15017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.22017366,-6.387546639,0,0 +15020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.38631166,-9.663430407,0,0 +15021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.27961284,-7.089973828,0,0 +15022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.16513174,-7.04442601,0,0 +15023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.59160112,-10.29053182,0,0 +15026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.26354624,-7.669955624,0,0 +15025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.75586904,-8.093876178,0,0 +15024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.26827646,-7.720406017,0,0 +15027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.5554787,-7.59787815,0,0 +15029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.49172256,-8.286708705,0,0 +15030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.987698398,-8.656521795,0,0 +15028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.98313844,-9.059858837,0,0 +15033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.16090448,-7.436928206,0,0 +15034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.17588702,-7.664934856,0,0 +15031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.75584587,-7.885336046,0,0 +15032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.73600334,-7.901383011,0,0 +15036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.14720375,-8.114281896,0,0 +15035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.40466884,-7.803600759,0,0 +15037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.51374157,-9.079609375,0,0 +15038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.55285401,-8.066554471,0,0 +15039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.07355446,-6.991915791,0,0 +15041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.37191266,-7.276588992,0,0 +15042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.793246,-8.615358154,0,0 +15040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.72483825,-8.118510575,0,0 +15044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.52171714,-8.482321321,0,0 +15043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.7073371,-7.450615173,0,0 +15045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.39850384,-7.155335029,0,0 +15047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.01873674,-7.813738447,0,0 +15048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.12749929,-7.360198458,0,0 +15049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.06880401,-8.23575556,0,0 +15046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.59754933,-6.88377593,0,0 +15051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.53636115,-7.557866541,0,0 +15050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.30804991,-7.369680428,0,0 +15052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.37429345,-6.81708814,0,0 +15053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.00348336,-8.22290373,0,0 +15055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.63033516,-8.35949788,0,0 +15054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.47756977,-9.187312935,0,0 +15057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.7081327,-8.415016954,0,0 +15060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.42033079,-8.628102266,0,0 +15059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.1604071,-8.565409942,0,0 +15058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.0769831,-8.445501791,0,0 +15056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.45925547,-8.232639593,0,0 +15061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.44111871,-7.401630945,0,0 +15062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.21572411,-8.932969953,0,0 +15063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.19311177,-7.597482458,0,0 +15065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.6066309,-8.886704173,0,0 +15064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.980229604,-6.937530104,0,0 +15067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.04305584,-8.460721293,0,0 +15069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.02098491,-8.053112853,0,0 +15066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.70377702,-9.63108579,0,0 +15068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.36209137,-7.74616932,0,0 +15071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.51725622,-7.217318537,0,0 +15070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.35702455,-8.553488205,0,0 +15072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.78984945,-6.970054819,0,0 +15074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.01930945,-9.131220905,0,0 +15076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.46387826,-7.37871369,0,0 +15073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.23048236,-8.052353069,0,0 +15075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.26240984,-8.276515078,0,0 +15078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.24802061,-7.673852993,0,0 +15077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.02941747,-7.032514886,0,0 +15079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.57000009,-7.764651484,0,0 +15080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.38096341,-8.072486333,0,0 +15081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.44951209,-7.345432681,0,0 +15083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.71545086,-8.133335141,0,0 +15082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.5514227,-6.581851252,0,0 +15084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.67991178,-8.178488312,0,0 +15085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.16404039,-7.620763121,0,0 +15087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.0076998,-6.947120429,0,0 +15088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.20145222,-8.394890195,0,0 +15086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.54242516,-7.2693917,0,0 +15090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.587146,-8.61133448,0,0 +15091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.71496095,-8.71869121,0,0 +15089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.44122294,-7.446838651,0,0 +15092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.58641648,-6.709174374,0,0 +15093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.36086118,-6.179056378,0,0 +15094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.71624874,-8.186880356,0,0 +15096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.53666095,-9.261502656,0,0 +15095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.18485193,-7.78016316,0,0 +15097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.27719562,-6.91139301,0,0 +15099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.15476849,-7.399230853,0,0 +15098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.59489179,-7.336612103,0,0 +15100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.00783728,-7.487629718,0,0 +15101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.25317776,-7.918874233,0,0 +15102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.03862061,-8.90519985,0,0 +15103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.2136156,-6.416372422,0,0 +15106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.73329969,-8.316534238,0,0 +15104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.60155209,-7.733655069,0,0 +15105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.27764409,-7.996852911,0,0 +15107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.78164859,-8.578472602,0,0 +15108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.05400673,-7.483343412,0,0 +15110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.71840955,-8.956158582,0,0 +15109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.978566922,-7.61026231,0,0 +15112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.15998945,-7.772409984,0,0 +15114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.14908785,-7.128801472,0,0 +15115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.12274917,-8.699852104,0,0 +15116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.01356184,-8.264161642,0,0 +15117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.08783739,-8.927187542,0,0 +15118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.1578601,-7.709728605,0,0 +15111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.77226808,-9.905712317,0,0 +15113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.41764536,-9.118399014,0,0 +15119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.33516305,-8.216718245,0,0 +15121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.54747488,-7.681521214,0,0 +15122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.99208257,-7.550448339,0,0 +15123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.927783897,-7.59073779,0,0 +15124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.41627877,-8.381365813,0,0 +15120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.63325918,-8.146004086,0,0 +15125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.70194249,-7.458376994,0,0 +15127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.58191835,-7.362790876,0,0 +15126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.3499505,-8.096746845,0,0 +15128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.03118324,-9.654880747,0,0 +15131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.980806292,-7.148589258,0,0 +15130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.6270766,-8.520707561,0,0 +15133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.10299564,-7.878714062,0,0 +15132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.3502737,-7.750432015,0,0 +15134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.990748356,-8.45805857,0,0 +15129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.79830074,-9.250820629,0,0 +15136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.04314206,-8.785997783,0,0 +15138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.398307,-7.007760721,0,0 +15139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.30249553,-8.536395471,0,0 +15135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.26684736,-7.573407898,0,0 +15140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.46723934,-8.378130555,0,0 +15137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.37972164,-7.401328573,0,0 +15142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.72581146,-8.125913883,0,0 +15141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.17957247,-9.345733159,0,0 +15143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.73381253,-7.783586021,0,0 +15144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.71398465,-7.262563149,0,0 +15145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.0485724,-8.549857871,0,0 +15147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.49379692,-7.547446964,0,0 +15146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.2080005,-9.04865402,0,0 +15148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.54324112,-7.660497361,0,0 +15149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.40112091,-7.735001982,0,0 +15150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.0521017,-6.151006169,0,0 +15152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.10082265,-6.940887979,0,0 +15153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.68692795,-7.733409972,0,0 +15154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.35307714,-8.862306662,0,0 +15156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.28483509,-8.122736269,0,0 +15157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.34835468,-8.319696824,0,0 +15151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.54600804,-8.513942304,0,0 +15158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.64580061,-9.063681585,0,0 +15155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.85698294,-7.084597912,0,0 +15160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.72467767,-6.942280715,0,0 +15159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.33279454,-7.630843139,0,0 +15161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.08185019,-8.193523017,0,0 +15164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.59568574,-9.241376244,0,0 +15162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.50489565,-7.781512387,0,0 +15165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.44802859,-8.068260156,0,0 +15163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.3691623,-7.656748348,0,0 +15166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.3471857,-7.531942713,0,0 +15168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.50618818,-7.869986285,0,0 +15167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.58095606,-8.721587063,0,0 +15169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.73323336,-8.47075185,0,0 +15172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.41064607,-7.482372013,0,0 +15173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.74556558,-9.00395138,0,0 +15171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.21804735,-8.893457854,0,0 +15175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.49476351,-8.135961877,0,0 +15170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.04662283,-8.386950207,0,0 +15176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.254615,-9.170206697,0,0 +15174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.49520625,-8.105030605,0,0 +15177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.945515086,-7.459246645,0,0 +15178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.51749401,-8.677184563,0,0 +15179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.47360365,-8.596472126,0,0 +15182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.27588406,-8.973230352,0,0 +15181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.45286628,-9.137890083,0,0 +15180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.70201975,-7.827370496,0,0 +15184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.63956714,-8.315651944,0,0 +15183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.29623006,-7.909557257,0,0 +15185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.48804926,-8.262865103,0,0 +15186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.71331976,-7.098301037,0,0 +15189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.58561861,-7.835963354,0,0 +15188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.37582375,-6.76028359,0,0 +15187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.29601794,-8.641190774,0,0 +15190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.24172481,-8.85208893,0,0 +15191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.21066555,-7.877314173,0,0 +15192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.09329925,-7.831390863,0,0 +15194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.65114213,-8.673426428,0,0 +15195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.09466306,-7.883168125,0,0 +15196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.38328248,-6.762838999,0,0 +15193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.05673447,-7.882801522,0,0 +15197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.61255565,-7.82653765,0,0 +15200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.312163,-8.606475657,0,0 +15199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.70956326,-8.188532504,0,0 +15198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.988154695,-8.3374908,0,0 +15201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.1657505,-7.724494873,0,0 +15202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.61017257,-7.855401649,0,0 +15203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.51122172,-8.35092817,0,0 +15204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.66673525,-8.517033634,0,0 +15206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.21515739,-7.984289472,0,0 +15207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.60308664,-7.99551625,0,0 +15209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.65005665,-8.997044165,0,0 +15205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.27938145,-6.942452085,0,0 +15208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.22548671,-6.330859162,0,0 +15210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.13507932,-6.96715851,0,0 +15211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.75879277,-7.742058496,0,0 +15214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.05679235,-7.91870977,0,0 +15212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.62054484,-8.754760526,0,0 +15215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.16642415,-8.028760645,0,0 +15216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.01556433,-8.171849402,0,0 +15213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.50340922,-8.917771674,0,0 +15217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.2544124,-8.637805579,0,0 +15218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.10339427,-7.657245543,0,0 +15220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.01494798,-7.232540135,0,0 +15219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.76251393,-7.194840052,0,0 +15221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.35119596,-8.354219115,0,0 +15223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.46962793,-8.52008965,0,0 +15222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.32295569,-8.024355714,0,0 +15225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.39964916,-8.115757128,0,0 +15224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.71204465,-7.956121923,0,0 +15226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.36667749,-8.212969193,0,0 +15227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.82878139,-7.123027456,0,0 +15230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.993566375,-7.601086544,0,0 +15228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.64024891,-7.77459127,0,0 +15231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.49693852,-9.086337223,0,0 +15232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.03514321,-8.164052937,0,0 +15233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.22946702,-8.511365775,0,0 +15234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.5659471,-9.555432468,0,0 +15235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.55913004,-9.771809299,0,0 +15229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.72191989,-8.80817942,0,0 +15237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.6806361,-8.368575761,0,0 +15236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.31332339,-7.269479601,0,0 +15238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.33817643,-7.618197328,0,0 +15239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.16147538,-8.262985363,0,0 +15241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.45300342,-8.270247755,0,0 +15240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.78710425,-9.810616878,0,0 +15242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.51871542,-7.548378785,0,0 +15244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.49926331,-8.177715045,0,0 +15246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.20149756,-8.308712543,0,0 +15247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.29846287,-8.041120304,0,0 +15243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.05200466,-8.757319422,0,0 +15249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.46633531,-8.791855427,0,0 +15248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.17179738,-8.647778646,0,0 +15250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.40710466,-7.974693807,0,0 +15251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.33129654,-8.112778767,0,0 +15245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.12611416,-7.114595663,0,0 +15252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.56895109,-8.322456758,0,0 +15254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.17665411,-8.396979549,0,0 +15255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.69152967,-9.266782896,0,0 +15256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.11562006,-8.679033282,0,0 +15253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.09304517,-8.299070705,0,0 +15257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.26590734,-8.139126724,0,0 +15258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.50369795,-7.106913425,0,0 +15259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.19724934,-8.502201711,0,0 +15262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.50680667,-7.934894926,0,0 +15264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.87301421,-8.76257112,0,0 +15261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.12078778,-7.536702578,0,0 +15263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.14547839,-6.802713548,0,0 +15265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.16501881,-7.325167494,0,0 +15266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.618235,-7.89514506,0,0 +15260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.21230357,-8.7423873,0,0 +15269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.38367169,-9.095659216,0,0 +15267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.67787894,-8.306532913,0,0 +15271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.41400512,-8.639325728,0,0 +15268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.16882476,-7.421654897,0,0 +15272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.23248035,-6.760870046,0,0 +15270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.10182658,-8.277771174,0,0 +15273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.36086306,-8.533211301,0,0 +15274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.44547066,-7.376270018,0,0 +15275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.39044806,-8.096319003,0,0 +15278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.47766651,-7.560525597,0,0 +15279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.3140068,-8.50948715,0,0 +15276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.39352448,-7.709647662,0,0 +15277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.59513535,-7.575605042,0,0 +15281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.03477249,-8.194442173,0,0 +15280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.34725316,-8.119443799,0,0 +15282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.76666095,-8.23642698,0,0 +15286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.45250499,-8.101554142,0,0 +15283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.88028001,-9.319830497,0,0 +15285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.49484076,-8.680428089,0,0 +15287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.50528311,-7.277199343,0,0 +15284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.18490262,-8.519516605,0,0 +15289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.43666429,-7.575762082,0,0 +15288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.02166109,-7.716330713,0,0 +15290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.27848753,-8.330473013,0,0 +15294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.7093316,-8.432021685,0,0 +15293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.51688339,-7.421907562,0,0 +15295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.06950916,-8.084541581,0,0 +15291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.5109179,-7.660599599,0,0 +15292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.68079075,-8.232970188,0,0 +15296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.27424707,-8.23804979,0,0 +15297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.33923895,-8.978993007,0,0 +15299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.83989905,-8.114802572,0,0 +15300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.59518184,-8.440752182,0,0 +15302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.56189222,-8.086424287,0,0 +15301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.3521759,-8.687037453,0,0 +15303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.37610733,-8.633801567,0,0 +15298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.34526843,-7.115895989,0,0 +15305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.38520058,-8.126277227,0,0 +15304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.29662676,-7.536529782,0,0 +15306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.86502919,-9.076903406,0,0 +15307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.17237096,-8.617851184,0,0 +15309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.62603799,-7.189324315,0,0 +15311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.963936667,-7.761112351,0,0 +15308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.67776337,-8.66009867,0,0 +15310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.3364223,-7.141995574,0,0 +15312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.45087282,-8.110359814,0,0 +15313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.07791893,-9.10117226,0,0 +15314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.16726643,-8.821327997,0,0 +15315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.50991755,-8.820171596,0,0 +15316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.75942072,-7.123756156,0,0 +15318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.43799601,-8.572218276,0,0 +15319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.21097477,-7.941967577,0,0 +15321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.31140389,-6.590574568,0,0 +15317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.14764161,-7.511633933,0,0 +15322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.21592735,-7.374727647,0,0 +15320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.71294861,-7.939168589,0,0 +15323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.41227424,-8.009254089,0,0 +15325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.35566469,-7.830144855,0,0 +15324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.01175323,-7.821111126,0,0 +15327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.48695903,-8.400566775,0,0 +15329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.928280129,-7.155376908,0,0 +15326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.65802926,-7.566990846,0,0 +15328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.10783778,-8.373760982,0,0 +15331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.36456026,-7.466434004,0,0 +15330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.82634347,-9.339588558,0,0 +15333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.80600206,-8.941374986,0,0 +15332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.19725752,-7.485144073,0,0 +15334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.994939882,-7.952777083,0,0 +15335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.71694926,-7.880569227,0,0 +15336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.976715642,-7.673493466,0,0 +15338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.0517492,-7.606244603,0,0 +15339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.65844986,-8.827717973,0,0 +15340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.46634328,-7.775325075,0,0 +15342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.62466585,-7.921597253,0,0 +15341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.19357198,-8.427664271,0,0 +15343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.55097705,-7.220797395,0,0 +15337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.63293869,-9.180812932,0,0 +15345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.2440899,-8.246987541,0,0 +15344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.67039242,-7.461700377,0,0 +15346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.69713998,-8.482263436,0,0 +15347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.84571615,-8.838791308,0,0 +15349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.05958287,-8.604030412,0,0 +15350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.70452677,-9.173951212,0,0 +15351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.60280476,-7.438049454,0,0 +15352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.75480063,-7.438629579,0,0 +15353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.68559624,-8.893696739,0,0 +15354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.10862967,-7.806528704,0,0 +15355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.02276853,-6.639679117,0,0 +15356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.35855291,-7.770568273,0,0 +15348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.894964085,-8.22935437,0,0 +15357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.49393043,-8.651622773,0,0 +15359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.987829385,-7.788535438,0,0 +15362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.52965426,-8.458793225,0,0 +15361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.36859762,-7.590736861,0,0 +15358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.70753331,-8.063197097,0,0 +15363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.35118886,-8.092833495,0,0 +15364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.60044368,-7.97413738,0,0 +15365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.29646021,-7.859609473,0,0 +15366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.41936033,-7.303310864,0,0 +15360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.40457041,-8.591845842,0,0 +15368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.74572489,-8.362693017,0,0 +15367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.39334795,-7.979772804,0,0 +15369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.931369131,-7.498996035,0,0 +15370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.17298886,-6.562828744,0,0 +15371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.21033824,-7.326234789,0,0 +15372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.998891083,-8.362208371,0,0 +15373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.51431344,-8.458115889,0,0 +15374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.72422958,-8.201922271,0,0 +15376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.27528626,-7.902224667,0,0 +15375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.36013076,-6.700814843,0,0 +15379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.1594071,-9.057604151,0,0 +15380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.23137388,-7.23362344,0,0 +15382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.54739461,-7.739795788,0,0 +15378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.982953939,-8.096103193,0,0 +15381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.56932611,-8.501231054,0,0 +15377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.37263654,-8.209905373,0,0 +15383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.5878208,-7.414665728,0,0 +15384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.37970236,-7.5659583,0,0 +15386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.67504771,-9.511349289,0,0 +15388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.50274426,-8.627886961,0,0 +15385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.20875742,-8.02781044,0,0 +15389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.19629947,-7.400628044,0,0 +15387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.15970284,-7.749255673,0,0 +15391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.66288393,-7.324916202,0,0 +15390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.02557971,-9.732273412,0,0 +15393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.79196698,-9.73668356,0,0 +15395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.74947909,-8.773194823,0,0 +15396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.25346332,-6.958708277,0,0 +15398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.78022161,-7.965923202,0,0 +15397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.63298357,-6.689856092,0,0 +15394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.54090032,-8.695000786,0,0 +15392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.13281175,-8.429845908,0,0 +15399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.982919402,-6.618906996,0,0 +15400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.30626441,-6.781399546,0,0 +15402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.40409895,-7.696084888,0,0 +15403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.35590211,-7.591864493,0,0 +15401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.31859627,-7.345871096,0,0 +15405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.45018865,-8.239462727,0,0 +15406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.09905186,-8.339976528,0,0 +15404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.45208084,-8.730443233,0,0 +15407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.35089532,-7.236817983,0,0 +15408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.12562145,-6.814665033,0,0 +15409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.47719723,-7.713779551,0,0 +15410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.05112298,-7.199563325,0,0 +15411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.43885392,-8.662478507,0,0 +15412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.60595001,-8.513103653,0,0 +15413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.71102497,-8.18296171,0,0 +15414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.74795277,-7.60654139,0,0 +15416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.24620982,-7.739726145,0,0 +15417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.50255173,-8.476330887,0,0 +15419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.52468171,-8.562702427,0,0 +15420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.45023481,-9.12549293,0,0 +15418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.13197728,-7.192097496,0,0 +15421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.29728213,-8.117286804,0,0 +15415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.63981382,-7.588648342,0,0 +15422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.33969143,-7.657220048,0,0 +15423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.38733513,-8.3112607,0,0 +15424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.27272829,-7.774490067,0,0 +15425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.60368589,-7.634586,0,0 +15426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.25235904,-8.120360106,0,0 +15428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.54301204,-8.578227615,0,0 +15427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.44256916,-7.720544366,0,0 +15429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.28225657,-6.953399448,0,0 +15431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.22290915,-7.36739722,0,0 +15430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.12396932,-8.168626682,0,0 +15432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.44668031,-9.647931093,0,0 +15433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.984537156,-7.606678888,0,0 +15434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.70254272,-7.630665517,0,0 +15436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.63545201,-7.518652854,0,0 +15438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.36031821,-7.541009307,0,0 +15435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.26460266,-8.726076132,0,0 +15440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.59869451,-8.021040315,0,0 +15439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.08482855,-8.559988932,0,0 +15437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.4991531,-9.076627456,0,0 +15442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.33843308,-8.454458916,0,0 +15441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.971543946,-7.593031957,0,0 +15444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.38181616,-8.659310985,0,0 +15445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.71957914,-9.069680652,0,0 +15447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.08195007,-8.341171266,0,0 +15443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.73979031,-8.818677022,0,0 +15448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.09129446,-7.487191502,0,0 +15446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.74496061,-8.966285804,0,0 +15449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.69554628,-8.172522336,0,0 +15450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.30659793,-7.791422326,0,0 +15451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.66979687,-9.038873947,0,0 +15454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.61448139,-7.794876338,0,0 +15452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.32968598,-8.885401755,0,0 +15456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.43652996,-7.892440674,0,0 +15453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.00022902,-6.786390707,0,0 +15457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.51698735,-7.671881036,0,0 +15458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.56280586,-9.227676074,0,0 +15459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.58475347,-8.144781698,0,0 +15455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.09372634,-8.817016637,0,0 +15460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.32078248,-8.982031179,0,0 +15461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.65795329,-7.566032272,0,0 +15462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.68251609,-8.03198937,0,0 +15463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.15958716,-8.138599848,0,0 +15464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.945399673,-8.107024737,0,0 +15465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.04594617,-8.919652724,0,0 +15466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.06286938,-6.821321854,0,0 +15468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.10463283,-7.14640339,0,0 +15470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.19445833,-8.299451024,0,0 +15469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.28944658,-8.815393856,0,0 +15471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.31246544,-8.132794556,0,0 +15467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.39250169,-8.76637625,0,0 +15473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.23353665,-7.835051751,0,0 +15472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.32004705,-8.410714584,0,0 +15474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.01367111,-8.198563129,0,0 +15477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.41701116,-7.059987381,0,0 +15476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.56577442,-8.453340145,0,0 +15480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.61002895,-7.915115138,0,0 +15481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.67994434,-7.898265126,0,0 +15478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.29187603,-7.806570333,0,0 +15479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.989932064,-6.740403288,0,0 +15475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.39247083,-7.693296445,0,0 +15482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.31734327,-8.626238394,0,0 +15483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.80108941,-8.242647858,0,0 +15484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.3339447,-7.424588355,0,0 +15486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.5431556,-7.969941901,0,0 +15487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.24292526,-7.056672214,0,0 +15490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.51907228,-8.502985543,0,0 +15488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.13533178,-7.546294365,0,0 +15489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.962269652,-7.123794196,0,0 +15492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.26032613,-7.494800275,0,0 +15491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.8234239,-7.960977681,0,0 +15485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.36837704,-8.196259316,0,0 +15493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.938736825,-6.17276957,0,0 +15495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.14958127,-7.961486651,0,0 +15497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.23516606,-8.188579489,0,0 +15494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.47329936,-8.634943343,0,0 +15499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.61198024,-8.077300795,0,0 +15500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.1924612,-7.219723454,0,0 +15498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.11642334,-8.309389174,0,0 +15496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.990431512,-7.855761953,0,0 +15501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.94404932,-8.300942418,0,0 +15502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.44696917,-8.045575318,0,0 +15504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.30235318,-7.980419121,0,0 +15503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.43801554,-7.475854461,0,0 +15507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.65294196,-8.286957431,0,0 +15506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.30282486,-8.177182285,0,0 +15509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.0404289,-7.599091872,0,0 +15505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.22470726,-9.078414884,0,0 +15510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.66271807,-8.158318095,0,0 +15508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.72787319,-7.775847797,0,0 +15512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.38248744,-6.828540032,0,0 +15513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.64911564,-8.083456277,0,0 +15511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.26120759,-9.149232412,0,0 +15514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.10892762,-7.002967995,0,0 +15515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.04461771,-8.564795755,0,0 +15516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.20279368,-7.183081514,0,0 +15518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.32842147,-9.157637138,0,0 +15517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.06755203,-8.31193087,0,0 +15520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.06713535,-7.120865847,0,0 +15519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.44796996,-8.79402245,0,0 +15521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.91627557,-7.285397682,0,0 +15523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.22414138,-7.947411489,0,0 +15524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.32742707,-8.509491445,0,0 +15526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.85393752,-8.084383255,0,0 +15522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.20693829,-7.998681237,0,0 +15527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.38064981,-9.081216351,0,0 +15528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.67514176,-7.790046312,0,0 +15525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.14054349,-7.336790828,0,0 +15529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.39091819,-8.754084491,0,0 +15530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.34171934,-8.815807527,0,0 +15531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.46586274,-7.903401889,0,0 +15532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.21911349,-7.827629263,0,0 +15534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.42535776,-7.286863687,0,0 +15533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.61205347,-6.360007328,0,0 +15535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.02203524,-6.593344988,0,0 +15537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.73770802,-7.910329921,0,0 +15538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.52584768,-8.964329116,0,0 +15536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.01580371,-8.130209996,0,0 +15539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.28988865,-7.207042878,0,0 +15540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.50857415,-7.850150985,0,0 +15542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.912718244,-7.810217097,0,0 +15541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.04402257,-8.473814801,0,0 +15544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.12300611,-7.949686638,0,0 +15545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.996479792,-8.028095597,0,0 +15543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.80340585,-8.661991347,0,0 +15546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.2668153,-9.209407985,0,0 +15547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.21874169,-7.549836749,0,0 +15548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.51830433,-8.515373138,0,0 +15549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.26456911,-7.54522339,0,0 +15551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.74392224,-7.842090766,0,0 +15552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.65173672,-7.850835015,0,0 +15550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.09778289,-6.190448574,0,0 +15553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.71466375,-7.082890812,0,0 +15556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.955663366,-8.856050796,0,0 +15555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.48208382,-8.018403621,0,0 +15554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.03704183,-7.518707262,0,0 +15557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.28668682,-9.000457685,0,0 +15558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.52894502,-8.42507292,0,0 +15559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.39482556,-8.110826553,0,0 +15560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.37101238,-8.183896435,0,0 +15561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.985440432,-7.076218785,0,0 +15563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.00226695,-8.148367012,0,0 +15562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.39528892,-9.35449217,0,0 +15564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.46420931,-8.861554714,0,0 +15565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.4060327,-7.221207576,0,0 +15567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.933684326,-7.584323722,0,0 +15566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.6260741,-8.13749426,0,0 +15568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.40761316,-8.794890648,0,0 +15570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.42012237,-8.878736723,0,0 +15569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.48552387,-8.255176081,0,0 +15571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.34503157,-9.511209637,0,0 +15572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.48727618,-7.072566007,0,0 +15574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.34994841,-7.962102842,0,0 +15575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.54816305,-7.628412727,0,0 +15576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.48609064,-8.262326673,0,0 +15573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.03296464,-8.625463342,0,0 +15577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.2540325,-8.208465318,0,0 +15578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.16717575,-7.827811676,0,0 +15579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.66570003,-8.49604846,0,0 +15580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.66937814,-9.673273045,0,0 +15581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.08797707,-7.211257416,0,0 +15582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.23012661,-9.588951171,0,0 +15583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.05019137,-8.182185349,0,0 +15585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.25788456,-7.907336961,0,0 +15584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.33751943,-9.048193961,0,0 +15586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.1738823,-8.06783765,0,0 +15587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.86638766,-8.165034023,0,0 +15588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.3352603,-8.061349291,0,0 +15589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.64813251,-8.470868919,0,0 +15591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.938120669,-8.034940235,0,0 +15590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.40191185,-8.573428395,0,0 +15592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.77008863,-8.673931393,0,0 +15593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.55478793,-9.617218225,0,0 +15596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.02511057,-8.031381714,0,0 +15594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.72414403,-8.972560737,0,0 +15597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.942293992,-7.026350778,0,0 +15598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.73934717,-7.83847815,0,0 +15595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.30522558,-9.339912329,0,0 +15599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.58841273,-8.332227008,0,0 +15600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.15378368,-6.897506902,0,0 +15601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.1729513,-7.123691904,0,0 +15603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.09685771,-8.557506674,0,0 +15602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.00603704,-7.798771222,0,0 +15604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.33949928,-7.57926144,0,0 +15605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.51119232,-9.549475067,0,0 +15608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.36521812,-7.872535274,0,0 +15607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.68810654,-7.863641581,0,0 +15612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.03469546,-7.235826518,0,0 +15611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.77372921,-7.770245844,0,0 +15609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.27502769,-8.419496205,0,0 +15606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.53457002,-7.186619714,0,0 +15610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.56865431,-6.9155719,0,0 +15615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.60827689,-8.1535638,0,0 +15614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.23921602,-8.400292823,0,0 +15616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.60651805,-8.310917371,0,0 +15617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.75146233,-7.441194001,0,0 +15618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.76849143,-9.001036474,0,0 +15619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.980320657,-8.524857072,0,0 +15620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.07644123,-7.13371928,0,0 +15613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.38929006,-9.493383879,0,0 +15621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.58917567,-8.890479385,0,0 +15622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.31279542,-6.374877419,0,0 +15624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.41468076,-8.061067605,0,0 +15623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.43393089,-8.299599038,0,0 +15626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.78975439,-8.228196095,0,0 +15625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.31026909,-8.113352244,0,0 +15627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.22174178,-7.064796784,0,0 +15628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.55971329,-8.716244822,0,0 +15629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.35836448,-8.108423243,0,0 +15630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.09950638,-7.777696622,0,0 +15632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.958571343,-7.165360037,0,0 +15631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.20640868,-7.416273701,0,0 +15633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.07994265,-8.680318125,0,0 +15634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.999700962,-6.871328255,0,0 +15635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.47203875,-8.345582058,0,0 +15636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.49503838,-7.59586336,0,0 +15637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.34192475,-8.991929258,0,0 +15638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.19109604,-7.483108239,0,0 +15639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.49573426,-7.526706937,0,0 +15640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.58436955,-9.020613104,0,0 +15641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.3881096,-8.342298702,0,0 +15643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.13017994,-7.507679263,0,0 +15644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.73128908,-7.422193002,0,0 +15645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.55277687,-8.81396381,0,0 +15642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.53627629,-8.59105166,0,0 +15646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.78844477,-7.524574784,0,0 +15647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.22814343,-9.259003986,0,0 +15649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.43157727,-8.285628853,0,0 +15648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.35990805,-8.232940309,0,0 +15651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.09838098,-8.245406423,0,0 +15652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.23375638,-8.020254486,0,0 +15650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.25600281,-8.531433372,0,0 +15654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.18615156,-5.934244116,0,0 +15655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.13763522,-8.224859617,0,0 +15653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.23426937,-6.789391625,0,0 +15657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.63497744,-8.292342767,0,0 +15656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.46797615,-8.219863898,0,0 +15659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.23022375,-8.873225631,0,0 +15660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.72742306,-8.165488581,0,0 +15658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.05243119,-8.577634729,0,0 +15662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.17587158,-8.346333104,0,0 +15661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.708502,-8.362611817,0,0 +15664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.06358597,-7.451930113,0,0 +15663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.62377223,-7.338006598,0,0 +15665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.6740842,-7.974040255,0,0 +15666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.41479343,-8.394303906,0,0 +15668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.1949226,-7.813460147,0,0 +15669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.41824427,-7.612104142,0,0 +15670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.31097297,-7.885742672,0,0 +15671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.60732371,-7.610621618,0,0 +15667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.28408508,-8.161505392,0,0 +15673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.21551585,-9.061894152,0,0 +15674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.06833369,-7.939828659,0,0 +15675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.48787734,-9.306429702,0,0 +15672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.76520443,-8.762228071,0,0 +15679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.79103175,-9.654990439,0,0 +15676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.57452145,-9.579742601,0,0 +15678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.05916338,-7.965917558,0,0 +15677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.35157062,-7.374427751,0,0 +15681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.38993484,-7.493529207,0,0 +15682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.2439986,-7.774715798,0,0 +15680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.73945067,-8.368401504,0,0 +15685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.34277389,-8.197789631,0,0 +15683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.02468356,-8.027923194,0,0 +15686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.50033283,-8.906832261,0,0 +15684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.67012376,-9.425966323,0,0 +15687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.39551992,-8.481427836,0,0 +15688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.26709028,-8.487720519,0,0 +15689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.15915087,-7.252917716,0,0 +15691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.45628499,-6.420046823,0,0 +15690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.01663743,-7.955282508,0,0 +15693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.44481741,-8.10087723,0,0 +15692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.11902814,-8.781994297,0,0 +15694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.12274648,-7.74216769,0,0 +15696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.39935307,-6.507861953,0,0 +15697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.01565501,-9.078621631,0,0 +15698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.54176535,-8.282623036,0,0 +15695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.21833255,-7.591787199,0,0 +15700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.58489773,-7.705833613,0,0 +15702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.85381257,-7.411788213,0,0 +15699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.08875061,-9.733144321,0,0 +15703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.86929788,-9.062603063,0,0 +15704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.51010847,-8.789481907,0,0 +15701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.25792979,-7.402701131,0,0 +15705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.33839274,-8.679953944,0,0 +15706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.3959822,-7.88377662,0,0 +15707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.75323232,-8.826134764,0,0 +15709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.01799566,-8.24789087,0,0 +15710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.80269206,-8.187407874,0,0 +15708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.29696253,-8.734021523,0,0 +15712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.959773596,-8.43586051,0,0 +15713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.970946888,-7.556175447,0,0 +15715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.71823908,-7.990871915,0,0 +15714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.66885275,-8.030329482,0,0 +15711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.35965208,-7.644953066,0,0 +15716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.938846581,-6.670784889,0,0 +15717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.988938032,-7.590610342,0,0 +15718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.23684842,-8.219322412,0,0 +15719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.40649634,-8.600839141,0,0 +15720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.03071074,-7.682282145,0,0 +15721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.28592656,-7.011431992,0,0 +15722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.4520375,-7.978613463,0,0 +15723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.39801913,-7.431655887,0,0 +15724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.17510096,-6.499074746,0,0 +15725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.78802611,-8.440153376,0,0 +15726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.29347241,-7.993534521,0,0 +15728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.53537421,-7.416923017,0,0 +15729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.52846286,-8.406814575,0,0 +15727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.12962702,-8.924861453,0,0 +15732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.14596241,-7.053329754,0,0 +15733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.51392006,-6.983895807,0,0 +15731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.998564079,-7.752277271,0,0 +15730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.84075013,-8.538828849,0,0 +15734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.12943394,-7.759737844,0,0 +15736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.81652222,-8.875931081,0,0 +15735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.27695225,-7.519405336,0,0 +15737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.37501857,-8.443880749,0,0 +15738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.43631755,-8.195491293,0,0 +15739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.99912507,-7.428224408,0,0 +15741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.32959493,-7.139249379,0,0 +15740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.36073949,-7.436251428,0,0 +15742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.56436172,-7.7638081,0,0 +15743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.43954377,-8.04295456,0,0 +15744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.42225868,-8.123059792,0,0 +15746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.70566372,-8.096316569,0,0 +15748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.10688137,-7.313955602,0,0 +15747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.3978691,-7.79635205,0,0 +15745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.324152,-8.24698169,0,0 +15749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.35558483,-7.961154851,0,0 +15750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.48288893,-9.423965149,0,0 +15752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.05675577,-7.754417295,0,0 +15751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.32053278,-7.980792768,0,0 +15753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.20072263,-7.23663088,0,0 +15754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.03683022,-8.260409103,0,0 +15755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.80599472,-8.07741608,0,0 +15757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.00118229,-8.835748323,0,0 +15756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.55007866,-7.49023978,0,0 +15759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.03309822,-8.810925385,0,0 +15760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.16414437,-8.236127008,0,0 +15758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.62521715,-7.730930784,0,0 +15761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.28917449,-7.213627995,0,0 +15762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.81231905,-7.938438178,0,0 +15764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.33718304,-9.76308939,0,0 +15763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.63460395,-7.167358593,0,0 +15765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.08317901,-7.349610716,0,0 +15766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.50046628,-8.264366136,0,0 +15767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.41052226,-8.273010961,0,0 +15768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.68539845,-8.658703873,0,0 +15769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.09515777,-8.622279333,0,0 +15770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.03872878,-8.475635429,0,0 +15772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.93798113,-7.387850648,0,0 +15774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.73280112,-8.770085359,0,0 +15775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.15171387,-7.979029929,0,0 +15776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.59172866,-8.109819198,0,0 +15771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.13823366,-7.530552118,0,0 +15777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.28917168,-7.435814033,0,0 +15773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.29064937,-7.303590086,0,0 +15778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.44866279,-7.499599825,0,0 +15779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.63109474,-7.666586354,0,0 +15780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.33525155,-8.098360454,0,0 +15781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.34211414,-7.725534947,0,0 +15782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.3008792,-6.91401017,0,0 +15783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.05412635,-7.927869519,0,0 +15784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.78424119,-7.769262121,0,0 +15786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.1890064,-8.287216063,0,0 +15785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.56527858,-8.46561918,0,0 +15787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.10742864,-8.777957336,0,0 +15788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.15194548,-7.765850758,0,0 +15789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.4748733,-8.378009987,0,0 +15790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.43542881,-8.2317186,0,0 +15792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.09677147,-8.081863736,0,0 +15791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.01381669,-8.057356926,0,0 +15793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.06041107,-7.211576805,0,0 +15795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.70835913,-8.992232236,0,0 +15794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.15757081,-9.163371567,0,0 +15796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.70837003,-6.822377365,0,0 +15797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.29254507,-7.678435696,0,0 +15798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.326528,-7.922404333,0,0 +15799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.4609622,-7.898809647,0,0 +15800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.41941843,-7.419284018,0,0 +15801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.81845187,-8.525933432,0,0 +15804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.14093623,-7.682484541,0,0 +15803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.5973343,-8.275198958,0,0 +15802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.62294014,-8.365423904,0,0 +15805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.38532202,-8.271571628,0,0 +15806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.11768926,-7.353048683,0,0 +15808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.64568621,-7.835385752,0,0 +15807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.43100533,-7.867884627,0,0 +15809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.22220456,-6.905778184,0,0 +15810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.27210219,-7.632106361,0,0 +15812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.60255713,-8.136242833,0,0 +15811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.38771225,-7.620104805,0,0 +15813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.01322815,-8.096309015,0,0 +15814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.06426998,-8.493637293,0,0 +15815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.40708303,-8.268414579,0,0 +15816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.14697021,-8.570736138,0,0 +15817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.01974829,-8.111436717,0,0 +15818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.47584776,-7.543624633,0,0 +15819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.64358775,-8.576963038,0,0 +15821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.13043645,-8.225320197,0,0 +15820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.68810622,-8.043298716,0,0 +15822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.09144493,-7.535816974,0,0 +15824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.67270705,-7.927208422,0,0 +15823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.85265336,-8.433118329,0,0 +15825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.08059505,-7.095752001,0,0 +15826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.59120164,-8.861173981,0,0 +15827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.55282194,-8.045088652,0,0 +15828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.71336184,-7.894291354,0,0 +15829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.28408598,-6.070664671,0,0 +15830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.40078558,-8.105468063,0,0 +15831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.27776028,-7.923255904,0,0 +15832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.69999507,-8.063744076,0,0 +15833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.25482818,-6.711829399,0,0 +15834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.21952056,-8.644715727,0,0 +15835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.52638946,-8.483097193,0,0 +15836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.61303284,-8.650811603,0,0 +15837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.960873485,-8.949687569,0,0 +15838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.06627587,-6.897162318,0,0 +15839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.35780403,-9.649578374,0,0 +15840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.38511255,-8.703530443,0,0 +15841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.4964452,-8.072700126,0,0 +15842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.2784744,-8.411588644,0,0 +15844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.33396655,-8.160737771,0,0 +15843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.01790097,-8.62312477,0,0 +15846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.64108532,-9.39797627,0,0 +15847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.08039392,-7.197369039,0,0 +15845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.23077203,-8.304750665,0,0 +15848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.22051242,-7.925427289,0,0 +15849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.73555726,-6.755299628,0,0 +15850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.1548569,-8.573650606,0,0 +15852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.77145404,-8.410250639,0,0 +15851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.5314931,-7.466692838,0,0 +15854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.41847018,-8.012086902,0,0 +15853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.76589335,-8.156230211,0,0 +15856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.62333748,-7.502048151,0,0 +15855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.41247381,-7.089612162,0,0 +15857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.31677869,-7.681252228,0,0 +15858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.67989344,-7.962819601,0,0 +15860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.20277697,-7.616511319,0,0 +15859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.13141793,-7.553773274,0,0 +15862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.16582289,-6.82764043,0,0 +15861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.75982176,-7.446356708,0,0 +15863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.52131468,-8.348320657,0,0 +15865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.40824113,-7.216358499,0,0 +15866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.31554875,-6.96130532,0,0 +15867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.14818941,-8.490495512,0,0 +15868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.7149844,-8.459464911,0,0 +15864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.0964013,-7.731903436,0,0 +15870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.45778827,-7.921388169,0,0 +15869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.87116991,-8.160591279,0,0 +15871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.49157017,-7.55235867,0,0 +15872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.15345941,-8.114285207,0,0 +15873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.43158343,-8.53146048,0,0 +15874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.68629136,-8.949846629,0,0 +15875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.990243761,-7.902544416,0,0 +15876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.80135652,-8.505509654,0,0 +15877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.01453638,-9.070565039,0,0 +15878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.55031894,-8.304128179,0,0 +15879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.76148162,-8.47024814,0,0 +15880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.3848269,-8.363379385,0,0 +15882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.74670459,-8.291254606,0,0 +15881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.61266237,-8.751055464,0,0 +15883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.40891709,-7.832279461,0,0 +15885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.10101304,-7.498559328,0,0 +15886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.73405165,-7.807578816,0,0 +15884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.49841745,-7.358334687,0,0 +15887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.14658293,-7.013547471,0,0 +15888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.4042877,-8.459730254,0,0 +15890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.53360601,-7.316324088,0,0 +15889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.06151694,-8.42134478,0,0 +15891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.10007169,-7.64808124,0,0 +15892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.63502842,-8.211020168,0,0 +15893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.38492866,-8.357470268,0,0 +15895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.64993329,-7.252668,0,0 +15894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.09652718,-7.52282885,0,0 +15896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.60515645,-7.283705611,0,0 +15897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.51685977,-8.182321748,0,0 +15898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.13151552,-8.772970535,0,0 +15899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.38853027,-8.31234369,0,0 +15900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.15536134,-6.976196117,0,0 +15901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.6740344,-8.281286962,0,0 +15902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.62629063,-8.17582523,0,0 +15904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.06666166,-7.27283046,0,0 +15905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.70600642,-7.006349645,0,0 +15903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.22892001,-6.683643276,0,0 +15907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.2656123,-7.103160231,0,0 +15906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.64304133,-9.184860692,0,0 +15908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.09016839,-8.437662402,0,0 +15909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.27868847,-7.936094841,0,0 +15910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.07902391,-7.528352444,0,0 +15911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.24104234,-7.706326564,0,0 +15912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.14595479,-8.461265492,0,0 +15913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.24863462,-8.474815315,0,0 +15914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.67430583,-6.84738982,0,0 +15915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.964072653,-7.433412509,0,0 +15916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.19827395,-7.821141139,0,0 +15917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.24855627,-8.227756301,0,0 +15918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.49059551,-8.450368819,0,0 +15919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.18403986,-9.527146872,0,0 +15920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.54911636,-8.975093645,0,0 +15922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.19719098,-8.467300804,0,0 +15923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.15029201,-8.273171263,0,0 +15921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.65323994,-8.402096546,0,0 +15924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.21019933,-7.993448184,0,0 +15925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.988387562,-8.257506315,0,0 +15926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.985307895,-6.619321163,0,0 +15927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.17787618,-7.36436048,0,0 +15928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.14268213,-9.143824716,0,0 +15929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.2781382,-7.378168126,0,0 +15930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.73770256,-8.860716882,0,0 +15931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.18010792,-8.36714439,0,0 +15932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.974559223,-7.64262307,0,0 +15933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.59188967,-8.562576952,0,0 +15934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.63197851,-8.779799632,0,0 +15936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.32233929,-8.85575098,0,0 +15935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.54014577,-8.342162753,0,0 +15937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.5740341,-7.47914469,0,0 +15938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.06929739,-8.973850408,0,0 +15940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.09894098,-7.506421673,0,0 +15939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.66305355,-9.115156588,0,0 +15941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.998807722,-7.024895562,0,0 +15942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.51741301,-8.370275445,0,0 +15944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.947024599,-7.071717786,0,0 +15943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.17304372,-9.136041576,0,0 +15946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.30886285,-9.185023461,0,0 +15945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.0944545,-7.413999739,0,0 +15947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.33991282,-8.347232533,0,0 +15948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.07979569,-6.621125275,0,0 +15949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.26020824,-8.519879177,0,0 +15950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.554324,-8.546093172,0,0 +15953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.11716149,-7.851967892,0,0 +15952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.59762983,-8.638248975,0,0 +15951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.67258802,-9.698245552,0,0 +15954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.29862082,-8.023047793,0,0 +15955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.17933697,-7.862260598,0,0 +15957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.8395513,-7.141083458,0,0 +15956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.76118656,-8.369718336,0,0 +15958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.39918251,-7.83182456,0,0 +15959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.82166235,-9.328087465,0,0 +15960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.20906214,-7.320219417,0,0 +15962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.31563196,-7.246625285,0,0 +15961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.16277279,-7.649198203,0,0 +15963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.7216508,-9.33734951,0,0 +15964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.447506,-7.039933357,0,0 +15965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.33867497,-7.126681197,0,0 +15966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.29528477,-8.656297729,0,0 +15967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.79510715,-8.210190777,0,0 +15968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.05338968,-7.92576363,0,0 +15969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.5812461,-7.712751179,0,0 +15970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.77660796,-8.024961196,0,0 +15971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.950460712,-7.318438899,0,0 +15972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.65779764,-8.520696443,0,0 +15973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-9.964229377,-7.347316458,0,0 +15974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.7806684,-7.806103759,0,0 +15975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.46531965,-7.855522422,0,0 +15976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.6364251,-8.994089027,0,0 +15977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.48699633,-6.412898585,0,0 +15978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.61380004,-7.028050389,0,0 +15979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.67557155,-8.706492089,0,0 +15982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.03074605,-7.787358778,0,0 +15983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.33839383,-7.621670773,0,0 +15984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.2295268,-8.558166766,0,0 +15985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.29469297,-8.479808818,0,0 +15986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.31798336,-8.29882811,0,0 +15980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.45016509,-7.912565873,0,0 +15987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.04921836,-7.759113619,0,0 +15981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.22155074,-8.290207374,0,0 +15990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.21940599,-7.793401464,0,0 +15989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.01097617,-7.602749704,0,0 +15991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.40003554,-7.84534157,0,0 +15992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.37775449,-8.920513434,0,0 +15993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.82976033,-7.654169618,0,0 +15994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.5179936,-7.388932244,0,0 +15995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.34612896,-8.424332123,0,0 +15988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.2492114,-7.302013958,0,0 +15996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.08097038,-7.67149033,0,0 +15999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.4994028,-9.04121131,0,0 +15997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.22107067,-9.203346704,0,0 +16000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.11465881,-7.260691373,0,0 +15998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.75,10,1,-10.16024119,-7.915352623,0,0 +16001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.39400264,-7.976803793,0,0 +16003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.1402714,-7.531208892,0,0 +16002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.32286812,-8.777976847,0,0 +16004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.20399911,-9.16497034,0,0 +16006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.63073181,-8.0214476,0,0 +16007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.68668442,-9.476388672,0,0 +16005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.84579563,-8.667576808,0,0 +16008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.60885117,-8.099185333,0,0 +16009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.73765081,-8.568914964,0,0 +16010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.28800306,-9.573512908,0,0 +16011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.81708655,-9.10574958,0,0 +16012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.78340005,-8.393799184,0,0 +16013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.38742433,-8.082178338,0,0 +16015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.6080027,-8.053241193,0,0 +16016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.43099119,-9.374994399,0,0 +16014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.67642734,-8.322682571,0,0 +16017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.77552816,-9.185008269,0,0 +16018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.4299352,-8.489853623,0,0 +16020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.70508025,-8.314826526,0,0 +16021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.7641025,-9.077683049,0,0 +16019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.04400391,-8.173828664,0,0 +16022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.60241246,-10.01485923,0,0 +16023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.11746733,-8.52313536,0,0 +16024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.58344314,-9.862946678,0,0 +16025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.931253078,-8.09716134,0,0 +16026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.73863286,-9.11640311,0,0 +16027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.06976699,-9.406231619,0,0 +16028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.84683067,-9.17402384,0,0 +16030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.67071071,-9.530762612,0,0 +16029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.63715593,-8.416791584,0,0 +16032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.11943119,-8.930698154,0,0 +16031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.23426981,-8.68644394,0,0 +16033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.0978426,-8.796366275,0,0 +16034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.83710664,-8.550608911,0,0 +16035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.19562664,-8.679820835,0,0 +16036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.06896407,-8.057856971,0,0 +16037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.59583693,-8.8219882,0,0 +16039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.01630733,-8.463191512,0,0 +16038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.69581239,-8.578718182,0,0 +16040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.33545767,-8.903036038,0,0 +16042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.46713799,-8.006297729,0,0 +16041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.04520953,-8.556683677,0,0 +16043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.60049926,-8.437893153,0,0 +16044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.80969511,-8.971453945,0,0 +16045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.33148142,-7.748680126,0,0 +16046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.0296009,-8.703369776,0,0 +16048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.10511237,-9.267238989,0,0 +16050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.38980387,-9.319113804,0,0 +16049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.77244309,-8.04030646,0,0 +16047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.17769669,-7.319718323,0,0 +16051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.02614031,-8.302825573,0,0 +16052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.80571921,-8.398619672,0,0 +16053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.0641512,-8.046436222,0,0 +16054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.11814025,-7.652722404,0,0 +16055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.4308711,-8.764936304,0,0 +16056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.11002657,-9.161309655,0,0 +16057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.09444096,-8.000843368,0,0 +16058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.997721744,-7.331645249,0,0 +16059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.207481,-8.128982666,0,0 +16060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.39346531,-8.591344663,0,0 +16062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.65317709,-8.41476586,0,0 +16061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.7380849,-8.186701738,0,0 +16063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.48418065,-8.319419219,0,0 +16065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.07694823,-7.6824242,0,0 +16064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.42187713,-8.165616721,0,0 +16067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.999509704,-7.963297472,0,0 +16066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.45414379,-7.164858277,0,0 +16068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.21781388,-9.199779012,0,0 +16069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.719188,-9.211651986,0,0 +16070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.43916596,-8.385640495,0,0 +16072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.79860632,-9.389785744,0,0 +16073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.55359449,-8.604102036,0,0 +16071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.980826929,-7.404450261,0,0 +16074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.33660622,-9.017734397,0,0 +16075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.23811807,-8.146856933,0,0 +16076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.51110827,-8.814773236,0,0 +16077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.59197375,-8.600073091,0,0 +16078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.5832125,-8.759253143,0,0 +16080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.32780601,-8.323147929,0,0 +16081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.07256304,-8.979309856,0,0 +16079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.23234924,-7.898919135,0,0 +16082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.25822168,-9.316839286,0,0 +16083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.31529997,-8.946148263,0,0 +16084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.52948659,-9.084753765,0,0 +16085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.19605414,-8.395935704,0,0 +16086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.24456107,-9.462763256,0,0 +16087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.05080785,-9.470785637,0,0 +16088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.45552606,-8.145366658,0,0 +16089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.43521067,-8.263485774,0,0 +16090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.51800051,-8.725663667,0,0 +16092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.72037363,-9.183429544,0,0 +16093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.12381261,-8.041096945,0,0 +16091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.04113241,-8.676596746,0,0 +16096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.25384905,-8.986133425,0,0 +16094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.32851745,-6.802189808,0,0 +16095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.58174677,-8.829587959,0,0 +16097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.46201034,-8.364564862,0,0 +16098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.44955089,-8.3666416,0,0 +16099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.69737583,-9.05435624,0,0 +16100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.12771357,-7.721832889,0,0 +16101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.0692586,-8.631096137,0,0 +16102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.872563442,-8.076467276,0,0 +16103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.30914737,-8.156213849,0,0 +16104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.898671335,-8.155818758,0,0 +16106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.7001992,-8.787239954,0,0 +16105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.35845309,-7.645255085,0,0 +16107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.19949028,-7.309262475,0,0 +16108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.20876975,-8.457227677,0,0 +16109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.69970319,-8.805625295,0,0 +16110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.10419976,-7.891203908,0,0 +16111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.952953089,-7.508894549,0,0 +16112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.06682916,-7.73884461,0,0 +16114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.4577868,-8.216466621,0,0 +16113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.50301492,-8.503480533,0,0 +16115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.08055043,-8.653526365,0,0 +16116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.31038829,-9.10055014,0,0 +16118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.00147014,-7.128178246,0,0 +16119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.48647528,-8.350649721,0,0 +16117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.39794052,-8.891302214,0,0 +16120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.07875836,-8.295613348,0,0 +16121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.67099437,-8.295438287,0,0 +16122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.12597942,-7.940037951,0,0 +16123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.05392025,-8.28270733,0,0 +16124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.38664292,-9.551589105,0,0 +16125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.04006975,-7.843537948,0,0 +16126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.73420255,-9.37537078,0,0 +16127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.93520595,-8.741643959,0,0 +16128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.31677178,-8.194224932,0,0 +16129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.1934985,-8.840153506,0,0 +16130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.35852077,-9.063927997,0,0 +16131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.23897057,-9.567581354,0,0 +16132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.20695821,-8.305458202,0,0 +16133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.44626338,-8.657610282,0,0 +16134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.33074202,-9.693445234,0,0 +16136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.27125558,-8.385224958,0,0 +16138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.04957823,-8.632110603,0,0 +16137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.4738618,-8.640695834,0,0 +16135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.58556073,-8.280620071,0,0 +16139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.73415172,-8.57446577,0,0 +16140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.28507804,-7.988580736,0,0 +16141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.39782371,-9.637347873,0,0 +16143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.973527684,-7.376185255,0,0 +16142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.48294103,-8.385446099,0,0 +16144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.07701123,-8.516443591,0,0 +16145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.79816631,-9.18489446,0,0 +16147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.54599547,-9.478184745,0,0 +16148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.63515608,-8.162423889,0,0 +16146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.51642714,-7.777332748,0,0 +16150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.987791505,-9.295260833,0,0 +16151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.68337509,-8.242438654,0,0 +16149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.07296375,-7.655095348,0,0 +16152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.6079226,-8.504821958,0,0 +16153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.33391714,-8.561294122,0,0 +16154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.81901435,-9.015317583,0,0 +16155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.64632518,-8.645158004,0,0 +16159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.64391627,-9.580629101,0,0 +16160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.26997565,-8.665050739,0,0 +16156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.66859665,-9.619839463,0,0 +16158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.50052265,-6.794001729,0,0 +16157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.33200354,-8.456611076,0,0 +16161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.24572484,-9.373422432,0,0 +16162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.45152386,-8.104700397,0,0 +16163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.16879156,-8.443015288,0,0 +16164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.44609385,-7.847146072,0,0 +16167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.37777091,-8.653544144,0,0 +16165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.57455693,-9.114330722,0,0 +16168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.965995504,-8.697078962,0,0 +16169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.05165479,-8.221764831,0,0 +16170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.08283307,-7.90361598,0,0 +16166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.919556713,-8.150446006,0,0 +16171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.21342279,-7.421613744,0,0 +16172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.71696619,-8.242639978,0,0 +16173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.05544778,-8.796513033,0,0 +16174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.10681826,-8.967519763,0,0 +16175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.16318766,-7.250915141,0,0 +16176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.44940672,-8.039708407,0,0 +16177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.997257782,-8.841907919,0,0 +16178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.2919572,-8.035678257,0,0 +16179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.14181359,-8.85604311,0,0 +16180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.27316629,-7.869214264,0,0 +16181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.51094721,-8.866191526,0,0 +16182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.985509222,-8.901688906,0,0 +16184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.75127157,-8.399803861,0,0 +16185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.979689881,-8.905713106,0,0 +16183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.49446588,-8.267700828,0,0 +16187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.71947407,-9.744153464,0,0 +16186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.66948879,-7.44370806,0,0 +16190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.31864499,-8.664059426,0,0 +16188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.39657814,-8.377803599,0,0 +16189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.23008389,-8.072671293,0,0 +16193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.951979263,-7.589933379,0,0 +16191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.49395976,-8.150523136,0,0 +16192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.23158463,-8.45412838,0,0 +16194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.65849018,-8.641185713,0,0 +16195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.5330582,-8.260106045,0,0 +16196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.18588222,-8.54896455,0,0 +16198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.43218598,-8.73427737,0,0 +16197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.56188983,-8.277010895,0,0 +16200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.48737268,-9.283090271,0,0 +16201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.35531069,-8.849630001,0,0 +16202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.660256,-9.100457984,0,0 +16199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.5382325,-10.07614141,0,0 +16203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.61162539,-8.314511093,0,0 +16205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.4266484,-8.430688107,0,0 +16204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.54563252,-8.133485745,0,0 +16206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.25224163,-7.725459747,0,0 +16208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.968327316,-7.558944668,0,0 +16209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.05500341,-7.863621313,0,0 +16210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.66779362,-8.635137521,0,0 +16207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.70745237,-8.792487554,0,0 +16211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.42854117,-8.873502466,0,0 +16213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.15901924,-7.137659856,0,0 +16214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.14132369,-8.586694438,0,0 +16212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.2535934,-8.752956799,0,0 +16215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.17954628,-8.473415033,0,0 +16216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.95961957,-7.86180373,0,0 +16217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.68192673,-8.567590088,0,0 +16218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.32266278,-7.705925449,0,0 +16219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.45787023,-8.398972026,0,0 +16220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.78046,-8.526345889,0,0 +16222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.37595319,-8.172840754,0,0 +16221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.61746774,-8.310553742,0,0 +16223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.2714713,-8.69806884,0,0 +16224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.43961614,-9.018168622,0,0 +16228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.77794572,-9.001234377,0,0 +16226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.13922093,-8.56397525,0,0 +16225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.28202112,-8.353084874,0,0 +16229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.23172092,-8.049070624,0,0 +16230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.22058068,-8.713411375,0,0 +16227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.15731764,-7.858804378,0,0 +16232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.27351296,-8.421390455,0,0 +16231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.31802656,-8.072882446,0,0 +16235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.7736786,-8.890475489,0,0 +16233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.27881567,-9.237035251,0,0 +16234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.50149238,-7.89447136,0,0 +16236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.13561655,-8.666798696,0,0 +16237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.2745581,-8.204937427,0,0 +16240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.43030791,-8.077701105,0,0 +16239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.40372351,-7.776978791,0,0 +16238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.51069304,-8.743165053,0,0 +16243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.63908149,-8.812901051,0,0 +16242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.74734294,-8.962100834,0,0 +16245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.58093415,-9.049454789,0,0 +16241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.886170982,-8.144401002,0,0 +16244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.1355832,-7.563436934,0,0 +16247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.51153974,-8.321389649,0,0 +16246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.5033184,-9.389656398,0,0 +16248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.52839531,-8.189739949,0,0 +16250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.41107094,-8.835691782,0,0 +16249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.58758003,-8.544461181,0,0 +16251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.34210714,-9.162366619,0,0 +16252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.48283553,-9.354555779,0,0 +16253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.70300152,-8.773384721,0,0 +16254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.25252812,-8.47788357,0,0 +16255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.37973812,-8.207134205,0,0 +16257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.67869423,-8.372473949,0,0 +16256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.75197693,-9.185396453,0,0 +16258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.72789744,-9.190650502,0,0 +16259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.47829705,-8.706877085,0,0 +16261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.06822438,-7.968243187,0,0 +16262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.65098474,-8.772654867,0,0 +16263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.44806459,-8.681215433,0,0 +16260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.12961724,-8.153445153,0,0 +16264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.4901933,-9.823162222,0,0 +16267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.06400386,-8.253680631,0,0 +16268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.53847475,-8.027421232,0,0 +16266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.63925702,-8.634637849,0,0 +16269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.890606345,-8.637287335,0,0 +16270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.40476487,-7.745048054,0,0 +16271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.07911055,-7.851744115,0,0 +16265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.47852302,-8.39694713,0,0 +16272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.62195281,-8.168704826,0,0 +16273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.64953595,-9.465219977,0,0 +16275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.30810805,-8.898585219,0,0 +16274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.07697078,-9.174910299,0,0 +16276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.2149945,-8.597075152,0,0 +16277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.55338212,-9.034715978,0,0 +16278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.6676579,-8.705165431,0,0 +16279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.06990148,-8.494724599,0,0 +16280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.53853651,-8.949025324,0,0 +16281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.41192065,-8.422861802,0,0 +16283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.63935123,-9.0692099,0,0 +16285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.44610896,-9.083981057,0,0 +16284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.05930149,-8.284190783,0,0 +16286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.61499101,-8.954084162,0,0 +16288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.37300535,-8.404603195,0,0 +16282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.45006119,-9.226518803,0,0 +16287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.6341244,-9.040137158,0,0 +16290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.34464795,-8.782395894,0,0 +16289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.16529682,-8.35024228,0,0 +16292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.16310638,-7.505026341,0,0 +16291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.55873972,-9.298150883,0,0 +16293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.5949026,-8.484719026,0,0 +16294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.18043553,-7.820851053,0,0 +16295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.77159342,-8.290821788,0,0 +16296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.0021282,-7.401389151,0,0 +16297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.77494301,-8.561689137,0,0 +16298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.25429149,-9.169207293,0,0 +16299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.73933227,-7.948992091,0,0 +16300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.66566456,-9.094848678,0,0 +16302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.25293215,-8.18745844,0,0 +16303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.18308452,-8.371781855,0,0 +16301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.21613659,-9.17678318,0,0 +16305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.10024383,-8.514678869,0,0 +16306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.25223437,-8.179727312,0,0 +16307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.00045241,-8.842533301,0,0 +16304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.35786245,-8.012832147,0,0 +16308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.67076915,-9.163348365,0,0 +16310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.36660847,-7.628791874,0,0 +16309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.20134499,-8.417007696,0,0 +16311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.71091508,-9.256541452,0,0 +16312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.72691442,-8.092872,0,0 +16313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.42420335,-8.704567949,0,0 +16314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.23349481,-8.015063487,0,0 +16317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.29029798,-8.484218692,0,0 +16318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.44639366,-8.35856866,0,0 +16316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.76541953,-8.810832179,0,0 +16315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.35820377,-8.559894145,0,0 +16319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.06883548,-8.421640275,0,0 +16320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.57788974,-9.374015179,0,0 +16322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.16306949,-8.485570649,0,0 +16321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.69811696,-9.276257927,0,0 +16325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.01772159,-9.030216062,0,0 +16324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.03214267,-8.003320993,0,0 +16327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.19272754,-8.606347096,0,0 +16326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.52010839,-8.014243333,0,0 +16323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.05472783,-9.289669763,0,0 +16329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.7983561,-8.740189526,0,0 +16328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.5126428,-8.535225341,0,0 +16330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.18296043,-8.737477798,0,0 +16332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.32697636,-9.171018145,0,0 +16331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.61619366,-8.618579039,0,0 +16333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.65427681,-9.819250215,0,0 +16335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.72700969,-9.63954639,0,0 +16334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.25345272,-8.341736409,0,0 +16337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.26216929,-7.719606185,0,0 +16338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.62419245,-9.066224827,0,0 +16340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.31685981,-8.574729496,0,0 +16339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.72707176,-9.068190774,0,0 +16341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.6573717,-8.979694823,0,0 +16336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.42273096,-9.110319334,0,0 +16342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.50449422,-9.332061262,0,0 +16344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.93189692,-9.019364175,0,0 +16346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.13071736,-8.602345288,0,0 +16343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.7416244,-9.61493604,0,0 +16345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.69604281,-9.03053299,0,0 +16348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.54469954,-8.580499219,0,0 +16349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.53967846,-8.857604445,0,0 +16350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.34997307,-8.948234915,0,0 +16347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.73427501,-8.859669991,0,0 +16351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.42810192,-8.541995431,0,0 +16352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.10005023,-8.257442827,0,0 +16353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.28874111,-8.113483406,0,0 +16354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.03892906,-8.646750721,0,0 +16356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.68909902,-8.99672176,0,0 +16358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.32682091,-8.941313581,0,0 +16357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.03751069,-8.645998333,0,0 +16355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.02147504,-8.653155392,0,0 +16359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.44347385,-8.759797986,0,0 +16360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.27733169,-8.340266983,0,0 +16361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.06107662,-7.514459403,0,0 +16362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.64098977,-8.843190805,0,0 +16364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.45054024,-9.234516807,0,0 +16365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.17743626,-7.660729571,0,0 +16366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.25601319,-7.782594677,0,0 +16363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.11573001,-9.607112972,0,0 +16367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.06862051,-8.763068886,0,0 +16368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.71466932,-8.732626937,0,0 +16370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.57338007,-8.330608686,0,0 +16372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.1405588,-8.01049424,0,0 +16371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.64350023,-8.913644103,0,0 +16375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.05845287,-8.309551383,0,0 +16374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.66636164,-8.454308481,0,0 +16369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.29086754,-7.713772644,0,0 +16373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.64018496,-8.935480942,0,0 +16376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.31353931,-9.075582345,0,0 +16377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.48960194,-8.168386528,0,0 +16379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.74733235,-8.829960023,0,0 +16378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.73191599,-8.306790866,0,0 +16380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.05046688,-7.451965249,0,0 +16382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.45552296,-9.12324992,0,0 +16381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.39569962,-9.302947829,0,0 +16383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.47186618,-8.237828941,0,0 +16384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.7564272,-8.930377899,0,0 +16385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.74485099,-9.822137513,0,0 +16386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.37491161,-8.29602283,0,0 +16388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.926479636,-8.178960505,0,0 +16390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.40417739,-8.072165375,0,0 +16387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.22650356,-7.710379827,0,0 +16391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.16255645,-8.870154558,0,0 +16389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.25014892,-8.749206893,0,0 +16392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.2869006,-8.094936565,0,0 +16393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.52265011,-8.055590492,0,0 +16394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.54858134,-8.833763195,0,0 +16396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.44037842,-8.621273768,0,0 +16397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.17500145,-8.693671409,0,0 +16398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.53873052,-8.627212806,0,0 +16395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.03532061,-7.884998809,0,0 +16400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.998774995,-8.160942045,0,0 +16401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.36964005,-8.417794377,0,0 +16399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.18807982,-8.851017727,0,0 +16402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.02566722,-7.959578506,0,0 +16403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.989534407,-8.453773764,0,0 +16404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.70596571,-8.285815031,0,0 +16405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.49694723,-9.222623836,0,0 +16406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.45643236,-8.858360704,0,0 +16407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.1128494,-9.199458042,0,0 +16408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.50226627,-9.185558098,0,0 +16409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.35883402,-8.534550011,0,0 +16410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.60299584,-8.485430053,0,0 +16412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.17847038,-7.772314883,0,0 +16411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.61046959,-8.041294918,0,0 +16415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.25875862,-8.101030165,0,0 +16414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.44253372,-9.446396208,0,0 +16413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.51729702,-8.667657602,0,0 +16416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.23337729,-7.986567138,0,0 +16418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.50261825,-9.161074879,0,0 +16419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.16531042,-8.312132616,0,0 +16417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.57261368,-9.021664055,0,0 +16420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.0687051,-7.872697441,0,0 +16421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.49928525,-8.255232019,0,0 +16422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.39921898,-8.675391808,0,0 +16423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.971768051,-8.548073033,0,0 +16424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.20060263,-8.157679153,0,0 +16425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.6871735,-9.408615559,0,0 +16426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.49510931,-8.936804865,0,0 +16428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.06740421,-8.573111635,0,0 +16427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.29796075,-8.072108336,0,0 +16429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.69062227,-9.384236868,0,0 +16430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.0163405,-9.079108028,0,0 +16432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.74808083,-8.982330794,0,0 +16431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.04362173,-8.561492185,0,0 +16433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.08236099,-7.577391594,0,0 +16437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.01381953,-8.543214828,0,0 +16434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.03823691,-8.795259115,0,0 +16435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.34002941,-8.572237314,0,0 +16438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.75548815,-8.732654047,0,0 +16439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.55568665,-8.474020075,0,0 +16440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.46419894,-7.180342759,0,0 +16441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.19390048,-9.062661969,0,0 +16436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.978179492,-8.565477263,0,0 +16442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.19948023,-8.067983251,0,0 +16444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.76022656,-8.482096884,0,0 +16443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.21819699,-8.443017601,0,0 +16446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.10697997,-9.316140907,0,0 +16445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.0393248,-8.255654983,0,0 +16447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.42854261,-7.953046538,0,0 +16448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.68181875,-8.537716362,0,0 +16449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.03763281,-7.365680627,0,0 +16450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.52653079,-8.653045603,0,0 +16452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.08471322,-9.512503337,0,0 +16453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.50958128,-8.969623392,0,0 +16454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.64175934,-8.23222321,0,0 +16455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.08857046,-8.162332428,0,0 +16456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.1978973,-8.381665635,0,0 +16451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.21484011,-7.394059878,0,0 +16457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.38822825,-8.516946416,0,0 +16458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.2099304,-8.275548537,0,0 +16459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.13942138,-9.269785764,0,0 +16461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.76713749,-9.198383754,0,0 +16463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.51289451,-8.116308723,0,0 +16464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.31170573,-8.70261503,0,0 +16460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.71085809,-8.663112972,0,0 +16462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.4328546,-8.503901678,0,0 +16466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.04446518,-7.823174893,0,0 +16465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.34068359,-7.990523089,0,0 +16467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.38485479,-8.581620777,0,0 +16469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.66565034,-9.049243876,0,0 +16470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.22197047,-8.198497608,0,0 +16472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.57958024,-8.536343289,0,0 +16468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.0201559,-7.373539118,0,0 +16471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.21436202,-9.188893907,0,0 +16473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.19494844,-8.120915319,0,0 +16474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.21419814,-8.427619334,0,0 +16477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.35581227,-8.855321797,0,0 +16478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.945204829,-8.621117341,0,0 +16476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.64726845,-9.055581812,0,0 +16480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.0062691,-6.786855788,0,0 +16475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.42278369,-8.825251759,0,0 +16479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.13285409,-9.175584794,0,0 +16481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.70445546,-8.231098625,0,0 +16483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.66187278,-8.61026188,0,0 +16485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.61648256,-7.976592577,0,0 +16484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.09844455,-8.825682023,0,0 +16487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.55519589,-8.805712699,0,0 +16489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.56545115,-9.74100517,0,0 +16482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.6020407,-9.423699308,0,0 +16488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.01287305,-7.849539401,0,0 +16486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.78141126,-8.609645588,0,0 +16492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.22977535,-8.37044817,0,0 +16490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.72835735,-9.365931834,0,0 +16491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.1772292,-8.40147749,0,0 +16493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.935257756,-8.354523299,0,0 +16494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.21549798,-8.10872713,0,0 +16495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.47653453,-9.07264503,0,0 +16497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.07070536,-8.408122872,0,0 +16496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.66887211,-8.750573461,0,0 +16499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.41388081,-9.558733432,0,0 +16498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.1841599,-7.190485207,0,0 +16500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.59908293,-8.929628204,0,0 +16501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.21686224,-7.968781695,0,0 +16503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.17186562,-8.322087697,0,0 +16502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.53970269,-8.648848734,0,0 +16504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.26400529,-8.213456434,0,0 +16505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.63436889,-8.480528202,0,0 +16506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.78830266,-8.892221967,0,0 +16507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.35713322,-7.842553832,0,0 +16508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.16993656,-8.393670296,0,0 +16509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.24290913,-8.767989842,0,0 +16510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.04829018,-8.543921305,0,0 +16511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.7047888,-8.692227017,0,0 +16512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.01294621,-7.986913764,0,0 +16513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.28135418,-7.883312455,0,0 +16514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.38419396,-7.348469777,0,0 +16515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.57662899,-9.013214928,0,0 +16516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.75295141,-8.184598887,0,0 +16517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.58377184,-7.641371928,0,0 +16518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.37289544,-8.430283149,0,0 +16519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.24284431,-8.745761924,0,0 +16521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.02193215,-7.206234156,0,0 +16522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.48576225,-9.00345703,0,0 +16523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.82381901,-7.990909381,0,0 +16524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.54791689,-8.808143556,0,0 +16520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.2321896,-9.576749315,0,0 +16525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.57447866,-7.951116863,0,0 +16526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.45809903,-8.785615393,0,0 +16527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.03486317,-8.7736935,0,0 +16529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.40681934,-8.354622365,0,0 +16530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.10538583,-8.917509362,0,0 +16528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.20422775,-9.336153071,0,0 +16531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.49386313,-8.321719009,0,0 +16532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.26391714,-8.019924042,0,0 +16533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.77455337,-8.228744101,0,0 +16535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.55299491,-7.601742361,0,0 +16534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.07842084,-8.810239596,0,0 +16537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.39998514,-8.401995374,0,0 +16536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.41327186,-9.122216142,0,0 +16538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.03261113,-7.787134986,0,0 +16539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.74493019,-9.258230513,0,0 +16541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.41645902,-9.002822634,0,0 +16543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.30002137,-9.528495573,0,0 +16542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.32523228,-8.639482127,0,0 +16544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.42131037,-8.52990227,0,0 +16540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.21131165,-8.171927297,0,0 +16545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.58704203,-8.049915458,0,0 +16546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.55679362,-8.816201373,0,0 +16547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.47990369,-8.222407393,0,0 +16548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.36765681,-8.688348561,0,0 +16549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.04392253,-7.871437523,0,0 +16550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.24050859,-8.317831182,0,0 +16551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.47802985,-7.953006425,0,0 +16552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.05532744,-7.628308777,0,0 +16553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.22320442,-8.126511231,0,0 +16554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.4135321,-9.012178899,0,0 +16555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.46543275,-7.938448052,0,0 +16557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.36588161,-8.249857528,0,0 +16556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.73423548,-8.480687398,0,0 +16558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.28235252,-8.176109446,0,0 +16560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.3309694,-8.495123704,0,0 +16559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.7162666,-8.482978947,0,0 +16563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.23425477,-8.859620311,0,0 +16564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.32807046,-9.486062208,0,0 +16561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.22721225,-8.742859747,0,0 +16562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.56157238,-8.426088637,0,0 +16565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.10678626,-7.437953188,0,0 +16566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.62988975,-8.387375059,0,0 +16567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.08160002,-8.828027328,0,0 +16568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.620457,-7.925894037,0,0 +16569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.29438114,-8.000632543,0,0 +16570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.36592983,-8.375097004,0,0 +16571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.28660721,-8.057664148,0,0 +16572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.26027979,-7.98977388,0,0 +16573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.43760022,-9.763624758,0,0 +16575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.19350303,-8.166168049,0,0 +16574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.19501293,-9.229629132,0,0 +16576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.77027168,-9.003386731,0,0 +16577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.29845826,-8.597082088,0,0 +16578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.6360086,-8.604132605,0,0 +16581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.28834065,-8.239899374,0,0 +16579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.991202024,-7.413103364,0,0 +16580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.27722339,-8.989881734,0,0 +16582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.77220472,-9.061760623,0,0 +16583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.32378487,-8.855650845,0,0 +16584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.07363126,-8.354238679,0,0 +16585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.61122301,-9.463513318,0,0 +16586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.49944495,-8.46456337,0,0 +16588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.44387678,-8.968300334,0,0 +16587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.20644046,-8.754450149,0,0 +16590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.34388891,-8.387252622,0,0 +16593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.04325165,-8.734321917,0,0 +16589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.42378391,-8.48223753,0,0 +16594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.09341233,-8.004558718,0,0 +16591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.75154302,-7.543553204,0,0 +16592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.69626963,-9.22069706,0,0 +16596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.23936818,-8.10283116,0,0 +16595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.20749396,-7.879716831,0,0 +16598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.61137312,-8.333362974,0,0 +16597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.12636055,-7.660795561,0,0 +16600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.18904709,-9.104075296,0,0 +16601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.08053235,-8.433000195,0,0 +16602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.38529356,-7.93553768,0,0 +16603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.36697548,-8.807512365,0,0 +16605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.41290723,-9.666477771,0,0 +16599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.230752,-7.545691825,0,0 +16604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.78254459,-8.770795638,0,0 +16606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.90217909,-8.994802239,0,0 +16607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.949910989,-7.888832238,0,0 +16608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.12281821,-8.474978329,0,0 +16609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.01234592,-8.274697717,0,0 +16611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.56755813,-8.489870297,0,0 +16613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.31272659,-8.698538338,0,0 +16612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.75438749,-8.905383933,0,0 +16614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.01326751,-8.247823892,0,0 +16610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.01075388,-7.938156748,0,0 +16615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.15962286,-8.660193126,0,0 +16616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.93254996,-8.174009179,0,0 +16618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.76959514,-9.260893892,0,0 +16617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.64133312,-9.699733146,0,0 +16622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.27831547,-8.289192966,0,0 +16619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.03877799,-7.867215051,0,0 +16621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.04966944,-9.327114635,0,0 +16624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.68792966,-9.146896534,0,0 +16623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.44603617,-8.800226721,0,0 +16620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.22136308,-8.082785605,0,0 +16625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.36517481,-8.317665049,0,0 +16626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.53856625,-8.501419385,0,0 +16628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.54506419,-8.950715066,0,0 +16629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.56799308,-7.992860136,0,0 +16627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.53019176,-9.722272732,0,0 +16631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.35577804,-8.92718656,0,0 +16632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.29134878,-8.926695202,0,0 +16630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.58173759,-7.913826469,0,0 +16633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.966408817,-7.756809991,0,0 +16636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.5618238,-8.357450858,0,0 +16635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.40644954,-8.263127392,0,0 +16637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.44020051,-8.387871477,0,0 +16634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.11571509,-8.957422076,0,0 +16638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.63778242,-8.862560795,0,0 +16640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.04569291,-7.624323595,0,0 +16641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.42476389,-8.297033892,0,0 +16642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.70474174,-8.425941458,0,0 +16639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.07117161,-8.208139924,0,0 +16643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.18738256,-8.385924832,0,0 +16645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.15065958,-8.047431101,0,0 +16644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.63556519,-8.675601904,0,0 +16646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.5524721,-9.454601527,0,0 +16648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.35880054,-7.469964782,0,0 +16649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.55848066,-8.815190038,0,0 +16647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.52286035,-8.028315269,0,0 +16651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.71375934,-8.74038021,0,0 +16650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.25460423,-7.907986448,0,0 +16653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.57914838,-8.745321424,0,0 +16652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.48685145,-8.340067276,0,0 +16654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.23286839,-8.526093042,0,0 +16655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.919460915,-6.808698755,0,0 +16656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.65665493,-9.346374592,0,0 +16657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.41563082,-7.579375253,0,0 +16658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.68519474,-7.788276518,0,0 +16660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.20470701,-7.871378834,0,0 +16661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.55666726,-8.194656813,0,0 +16663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.62160483,-8.842976528,0,0 +16662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.79366705,-7.973378373,0,0 +16659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.11383429,-8.553267434,0,0 +16664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.964445971,-9.201396668,0,0 +16665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.55213173,-8.724119401,0,0 +16666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.66581917,-8.621183726,0,0 +16667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.5570221,-8.384462827,0,0 +16669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.23689197,-7.693502749,0,0 +16668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.35335631,-8.761610321,0,0 +16670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.3242098,-8.286652423,0,0 +16671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.916122091,-8.338060254,0,0 +16672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.72350927,-9.080041445,0,0 +16673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.66184812,-8.93899417,0,0 +16675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.03413599,-7.996850918,0,0 +16676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.51720648,-8.851767474,0,0 +16677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.66102378,-8.909440944,0,0 +16674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.60277408,-7.342204549,0,0 +16678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.37954668,-9.200585707,0,0 +16680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.25726438,-7.882966534,0,0 +16681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.63982485,-9.342012375,0,0 +16679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.68668972,-8.774084863,0,0 +16683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.07159826,-7.994242157,0,0 +16686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.33743227,-8.19409678,0,0 +16684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.42118024,-8.885696513,0,0 +16685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.24088596,-8.425451585,0,0 +16682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.50353555,-8.492475176,0,0 +16687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.58409998,-8.064925834,0,0 +16688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.76015756,-7.949465377,0,0 +16689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.29828946,-8.347743902,0,0 +16690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.27606301,-8.170981323,0,0 +16691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.66915317,-8.02010989,0,0 +16692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.42955626,-8.68379813,0,0 +16693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.34515983,-9.373116151,0,0 +16694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.12716954,-8.51242904,0,0 +16695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.25976818,-7.781766115,0,0 +16696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.23816722,-8.121509952,0,0 +16698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.75977548,-8.760883709,0,0 +16697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.995475566,-8.351530697,0,0 +16699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.17340041,-8.506710043,0,0 +16700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.65661984,-8.39435667,0,0 +16701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.77544473,-10.05604177,0,0 +16702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.78870685,-8.894595805,0,0 +16703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.44169631,-9.203242836,0,0 +16704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.01441919,-8.468710402,0,0 +16705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.57906793,-9.295373509,0,0 +16707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.00436481,-7.624533257,0,0 +16709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.31776051,-8.31565588,0,0 +16708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.36697285,-8.532141484,0,0 +16706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.2262172,-8.654589667,0,0 +16710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.04172076,-8.585100644,0,0 +16711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.35839785,-8.516069138,0,0 +16712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.54024688,-7.819932437,0,0 +16713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.71212219,-8.596710192,0,0 +16714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.38461598,-8.16207822,0,0 +16716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.954754523,-7.689892944,0,0 +16715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.51935657,-8.431624023,0,0 +16719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.22393732,-6.937857796,0,0 +16718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.55457167,-8.693669615,0,0 +16720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.74700027,-8.777997608,0,0 +16721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.61273041,-9.019792624,0,0 +16717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.63245341,-8.487863489,0,0 +16722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.60378743,-9.400473123,0,0 +16723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.51690709,-8.506347787,0,0 +16724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.61808618,-8.07385637,0,0 +16725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.02683275,-7.980423479,0,0 +16726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.02829754,-8.101558694,0,0 +16727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.64618706,-8.215078569,0,0 +16728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.44550131,-8.552394081,0,0 +16730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.98963263,-9.005820136,0,0 +16729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.35753689,-8.266868611,0,0 +16731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.59419593,-9.126813736,0,0 +16733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.50983359,-8.544537915,0,0 +16732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.67114177,-8.54717143,0,0 +16734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.14817211,-8.89078519,0,0 +16736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.59434315,-8.696960912,0,0 +16735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.2833503,-8.435229738,0,0 +16737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.12521852,-8.645631452,0,0 +16738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.52603432,-7.804094702,0,0 +16739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.25027368,-8.287493532,0,0 +16741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.19920744,-8.997028442,0,0 +16742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.29310649,-9.649575077,0,0 +16740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.54330487,-10.05739905,0,0 +16743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.2964996,-8.926402494,0,0 +16744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.900149375,-7.460422417,0,0 +16745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.06984367,-8.359950126,0,0 +16747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.27562818,-9.169157575,0,0 +16746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.05793036,-7.80955289,0,0 +16750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.29346811,-9.171676232,0,0 +16752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.69830487,-8.635008214,0,0 +16748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.29199985,-9.334759007,0,0 +16749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.54898238,-9.116235215,0,0 +16751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.99529772,-7.988965951,0,0 +16753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.914093008,-8.353858599,0,0 +16754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.31485627,-8.539371796,0,0 +16756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.98187867,-6.97165636,0,0 +16758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.0959953,-8.033848206,0,0 +16755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.6859314,-8.494143135,0,0 +16757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.67782332,-8.710467962,0,0 +16759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.51674435,-7.610807109,0,0 +16760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.35613089,-7.762613368,0,0 +16761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.21742024,-8.536746894,0,0 +16762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.33104131,-8.462963916,0,0 +16763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.06441582,-8.548514709,0,0 +16764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.3087488,-8.686472053,0,0 +16767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.52671162,-8.749178946,0,0 +16766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.60416044,-8.461769206,0,0 +16765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.11652598,-8.21820615,0,0 +16768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.47475465,-8.344312083,0,0 +16769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.60117779,-8.67126728,0,0 +16770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.23343001,-7.833480604,0,0 +16771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.16051811,-7.926778224,0,0 +16772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.15150402,-8.317894051,0,0 +16773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.36720387,-8.117352425,0,0 +16775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.19801102,-8.66098992,0,0 +16777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.82025385,-8.581098965,0,0 +16774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.11504722,-8.502802138,0,0 +16778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.04506039,-8.420555994,0,0 +16779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.24486036,-8.411333314,0,0 +16776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.35020479,-8.015274407,0,0 +16780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.64151139,-8.622930496,0,0 +16781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.45144262,-8.3118082,0,0 +16782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.01818376,-8.564917321,0,0 +16783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.68758068,-8.788877165,0,0 +16784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.69252985,-9.084939447,0,0 +16785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.15623224,-7.24265188,0,0 +16787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.7340953,-8.343326754,0,0 +16786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.41916299,-8.07793587,0,0 +16788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.73450001,-8.389378464,0,0 +16790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.15124183,-8.947296296,0,0 +16791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.10146426,-8.308382948,0,0 +16789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.72225918,-8.681623897,0,0 +16792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.72742082,-8.863293402,0,0 +16793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.2598236,-8.040900378,0,0 +16795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.21761189,-8.894964996,0,0 +16794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.7789242,-9.534403499,0,0 +16796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.6374603,-8.035190361,0,0 +16797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.930009753,-7.43255471,0,0 +16798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.04924267,-7.928778686,0,0 +16799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.61813595,-9.413488944,0,0 +16800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.75774741,-8.734812211,0,0 +16801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.05745488,-7.955022236,0,0 +16802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.56029454,-9.271833974,0,0 +16806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.63128943,-9.009977323,0,0 +16805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.76167446,-8.382577987,0,0 +16807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.07111159,-8.963330187,0,0 +16804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.27657454,-7.886813729,0,0 +16803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.75414127,-8.670461174,0,0 +16808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.24397657,-7.917282352,0,0 +16810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.74157952,-9.724568879,0,0 +16809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.25073814,-8.162381452,0,0 +16812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.1919556,-9.181606499,0,0 +16811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.07876344,-8.481072999,0,0 +16813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.42697966,-8.367021072,0,0 +16815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.04478137,-8.932874099,0,0 +16814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.02318589,-8.492945921,0,0 +16817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.1287777,-8.757772714,0,0 +16816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.15918393,-9.708070182,0,0 +16818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.64443343,-9.487404282,0,0 +16820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.7536794,-9.628198864,0,0 +16821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.63906666,-7.770205268,0,0 +16819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.6577243,-8.554224453,0,0 +16822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.26254304,-7.727705257,0,0 +16824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.11098131,-8.083713766,0,0 +16825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.68951801,-8.600157864,0,0 +16826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.958603498,-8.512890512,0,0 +16823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.48837315,-7.924494146,0,0 +16827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.14179207,-8.128993783,0,0 +16828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.75261434,-8.631458824,0,0 +16830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.59544102,-8.774456009,0,0 +16829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.10972371,-8.881743891,0,0 +16831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.958457304,-8.202794285,0,0 +16833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.45082289,-8.047706043,0,0 +16832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.18726097,-8.464627134,0,0 +16834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.998778775,-8.503219345,0,0 +16835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.13719282,-7.743903543,0,0 +16836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.63216702,-8.502768574,0,0 +16837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.10952256,-7.663466071,0,0 +16838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.75280429,-7.888422835,0,0 +16840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.36664752,-8.93295536,0,0 +16841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.05896505,-8.711433258,0,0 +16839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.62540543,-9.722363219,0,0 +16843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.63086995,-9.452006593,0,0 +16842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.25990595,-8.688743106,0,0 +16844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.14576026,-7.814157704,0,0 +16845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.43224476,-8.903071437,0,0 +16847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.04514395,-8.013764478,0,0 +16848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.64888694,-8.958671166,0,0 +16849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.70227888,-7.838201655,0,0 +16846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.79500884,-9.439603713,0,0 +16850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.66234705,-8.641830352,0,0 +16852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.72728141,-8.415764175,0,0 +16851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.75671783,-7.875886219,0,0 +16853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.17738134,-9.163238443,0,0 +16856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.02396156,-7.711007789,0,0 +16855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.0994655,-9.480981399,0,0 +16857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.61067474,-9.688735786,0,0 +16854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.4860038,-8.3911982,0,0 +16858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.18998388,-8.669077988,0,0 +16859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.981866901,-7.630968858,0,0 +16862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.22025218,-7.787386574,0,0 +16863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.73737777,-9.502111571,0,0 +16861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.5547231,-8.088861253,0,0 +16860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.27299113,-8.419623201,0,0 +16865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.55027716,-7.837942404,0,0 +16864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.96872492,-7.565554494,0,0 +16866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.05054792,-7.725571621,0,0 +16867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.955377107,-8.038458868,0,0 +16868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.62501311,-8.81633328,0,0 +16869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.62129976,-8.19684327,0,0 +16870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.024011,-8.349031514,0,0 +16872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.25856901,-8.448692588,0,0 +16873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.79795511,-9.145794389,0,0 +16874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.17448401,-7.759929409,0,0 +16871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.37852993,-8.881646281,0,0 +16875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.73398263,-9.246600669,0,0 +16876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.59809381,-8.628358473,0,0 +16877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.54183177,-8.118597722,0,0 +16878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.67163079,-8.466795657,0,0 +16879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.31659371,-8.221900897,0,0 +16880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.58507932,-7.723358365,0,0 +16881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.23047738,-8.232807573,0,0 +16883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.21786102,-9.355933135,0,0 +16882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.47102978,-8.493251912,0,0 +16884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.36023871,-8.188875526,0,0 +16885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.5089295,-8.726075692,0,0 +16886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.58505712,-8.090707732,0,0 +16887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.13841713,-7.786451919,0,0 +16888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.37532702,-8.553287303,0,0 +16889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.18917059,-9.001700387,0,0 +16890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.52146727,-8.300164897,0,0 +16891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.17373194,-8.717803712,0,0 +16893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.7482331,-8.555190991,0,0 +16892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.71432742,-9.540989397,0,0 +16895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.50545131,-9.294352393,0,0 +16896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.61626672,-9.347924426,0,0 +16897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.01901504,-7.851171323,0,0 +16894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.45645257,-8.757247092,0,0 +16898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.13068627,-8.542300514,0,0 +16899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.50543145,-7.214102721,0,0 +16901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.960935357,-8.977307877,0,0 +16900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.20721682,-8.919972885,0,0 +16904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.63070616,-7.655306022,0,0 +16902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.4218828,-8.87543028,0,0 +16903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.10733213,-8.095000967,0,0 +16905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.31389347,-9.017968163,0,0 +16906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.27476048,-8.051750089,0,0 +16908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.64846417,-8.84720186,0,0 +16909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.58295221,-8.444986178,0,0 +16907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.4951192,-8.602538821,0,0 +16910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.52159375,-8.801193106,0,0 +16911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.987296754,-7.00258848,0,0 +16912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.13338539,-7.770886111,0,0 +16913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.51345229,-8.770348327,0,0 +16914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.08069561,-8.528202751,0,0 +16915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.14266511,-8.490580769,0,0 +16916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.30384347,-9.033593047,0,0 +16917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.24689591,-9.410243401,0,0 +16918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.09321512,-8.463593164,0,0 +16919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.53013855,-9.104830008,0,0 +16920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.06882715,-9.15571117,0,0 +16921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.929379961,-8.548738713,0,0 +16922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.59976983,-8.082661372,0,0 +16923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.75866046,-9.087951669,0,0 +16924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.984780484,-7.654424376,0,0 +16926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.1511625,-9.06705161,0,0 +16927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.21317197,-8.116519644,0,0 +16928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.09423298,-8.66013323,0,0 +16929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.79773066,-8.165579727,0,0 +16930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.94208094,-9.147491398,0,0 +16925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.04641101,-8.193317956,0,0 +16931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.13596358,-7.940308159,0,0 +16932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.70260612,-9.317063939,0,0 +16934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.67994523,-9.933583737,0,0 +16935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.07723167,-9.012714415,0,0 +16933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.03761804,-8.168856341,0,0 +16937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.14186215,-8.034232762,0,0 +16936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.18863315,-8.278615744,0,0 +16939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.60547795,-7.861967731,0,0 +16938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.41010027,-7.81834354,0,0 +16940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.08567226,-8.309268708,0,0 +16942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.75604293,-8.457909825,0,0 +16943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.2460273,-8.266835652,0,0 +16941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.26209324,-8.453830346,0,0 +16944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.42676267,-8.15198583,0,0 +16945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.10818103,-8.571517238,0,0 +16946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.56858863,-9.046423081,0,0 +16948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.79792576,-9.337030364,0,0 +16949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.12323806,-8.210579629,0,0 +16950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.32087868,-8.276320349,0,0 +16947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.60905554,-8.54179984,0,0 +16951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.43592458,-8.313325096,0,0 +16952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.77248381,-9.115308902,0,0 +16953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.45395178,-9.418301396,0,0 +16954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.50314664,-7.867309681,0,0 +16955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.14944145,-7.787391682,0,0 +16956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.703004,-7.476949797,0,0 +16957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.68491326,-9.324486995,0,0 +16959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.00942778,-8.138541011,0,0 +16958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.06659671,-7.59746617,0,0 +16960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.42093159,-9.034627542,0,0 +16961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.3043921,-7.462384636,0,0 +16962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.43636271,-7.961268313,0,0 +16963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.65359419,-8.269172965,0,0 +16964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.04945958,-8.895046809,0,0 +16966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.02542746,-8.821838267,0,0 +16965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.44896594,-8.237809164,0,0 +16968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.22598462,-8.498661318,0,0 +16969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.11607385,-8.632287039,0,0 +16970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.48487775,-8.833800321,0,0 +16967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.14105132,-8.279433853,0,0 +16971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.58673808,-8.380830511,0,0 +16973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.54565987,-7.972113206,0,0 +16974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.28063165,-8.171515632,0,0 +16972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.47222642,-8.088345936,0,0 +16976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.62197889,-9.289413337,0,0 +16975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.80504281,-8.669374296,0,0 +16977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.29692131,-9.163867417,0,0 +16978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.00967386,-7.636573815,0,0 +16979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.0229946,-8.587789818,0,0 +16980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.79447353,-8.760955826,0,0 +16981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.47723837,-8.159919797,0,0 +16982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.42621585,-8.548444401,0,0 +16984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.24779195,-8.299979577,0,0 +16983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.09433036,-9.338270917,0,0 +16985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.35878712,-8.758096043,0,0 +16986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-9.960691665,-7.641188278,0,0 +16988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.59487228,-9.648955324,0,0 +16987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.78531283,-8.981007722,0,0 +16989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.56462215,-9.276068346,0,0 +16992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.00924716,-8.41177206,0,0 +16991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.50533038,-8.979035293,0,0 +16990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.34375015,-9.253593923,0,0 +16993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.37979728,-9.234849493,0,0 +16995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.25767239,-8.932595888,0,0 +16996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.44969083,-8.166819435,0,0 +16997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.00124377,-8.884026885,0,0 +16994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.91726425,-9.091839935,0,0 +16999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.82986969,-9.885950729,0,0 +16998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.33155962,-8.837545076,0,0 +17000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.8,10,1,-10.28094845,-9.474601703,0,0 +17001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.18811811,-9.023961797,0,0 +17002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.46096202,-9.769614878,0,0 +17003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.42413351,-8.843311573,0,0 +17004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.60845637,-9.136971035,0,0 +17006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.23257273,-9.448477661,0,0 +17007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.963677684,-8.577309037,0,0 +17008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.32281739,-8.44911372,0,0 +17005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.990011249,-8.536039148,0,0 +17009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.16138967,-8.820830547,0,0 +17010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.64385958,-9.479889383,0,0 +17011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.29214116,-8.538045755,0,0 +17012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.2603407,-9.046403537,0,0 +17013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.26280919,-8.751100692,0,0 +17014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.27942894,-8.549804209,0,0 +17015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.40676876,-9.181619018,0,0 +17017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.51832481,-9.243397099,0,0 +17016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.73166434,-8.780864632,0,0 +17018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.69913907,-9.608127537,0,0 +17019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.25721623,-8.648172188,0,0 +17020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.49534684,-9.525890451,0,0 +17021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.77577225,-9.817155315,0,0 +17022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.45513489,-9.307748211,0,0 +17023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.07251601,-9.095089345,0,0 +17024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.51871432,-9.625447224,0,0 +17025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.53332948,-9.06740698,0,0 +17026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.5550973,-9.080855283,0,0 +17027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.75331964,-9.816707429,0,0 +17028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.72282458,-8.885733678,0,0 +17029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.54589483,-8.991998959,0,0 +17030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.08946404,-8.387391231,0,0 +17031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.51023556,-9.325497425,0,0 +17032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.72440473,-10.09870791,0,0 +17034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.74339431,-9.37093951,0,0 +17035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.60086833,-9.119307758,0,0 +17033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.80533236,-9.622471093,0,0 +17036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.43298054,-9.612204884,0,0 +17037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.83567871,-9.095769193,0,0 +17039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.12246201,-8.786970383,0,0 +17038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.3750562,-8.66217595,0,0 +17040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.990267653,-8.642729145,0,0 +17041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.24059682,-8.397905389,0,0 +17042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.52292531,-8.96371733,0,0 +17044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.67312568,-9.610622722,0,0 +17045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.03311857,-8.773288873,0,0 +17046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.0139413,-8.555852181,0,0 +17043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.42779362,-9.703136362,0,0 +17047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.985503575,-8.665000439,0,0 +17048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.12621605,-8.982433841,0,0 +17049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.31769825,-9.540038615,0,0 +17050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.46704409,-9.436233052,0,0 +17051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.62823374,-8.645437635,0,0 +17052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.35364216,-9.106340997,0,0 +17053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.954824186,-9.067815595,0,0 +17056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.41081109,-8.712059515,0,0 +17055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.07166874,-8.521383497,0,0 +17054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.76807112,-9.570820921,0,0 +17057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.01082595,-8.404665785,0,0 +17059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.65227739,-7.826926866,0,0 +17058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.02378799,-8.746119857,0,0 +17060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.47098354,-9.268735247,0,0 +17061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.29772908,-9.349043639,0,0 +17062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.97397581,-8.975711025,0,0 +17063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.28423822,-8.574400197,0,0 +17065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.38895827,-9.128056503,0,0 +17067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.01227704,-7.559376429,0,0 +17066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.10967651,-9.195407935,0,0 +17068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.53979365,-9.067293987,0,0 +17069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.69994718,-8.864701692,0,0 +17070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.63490902,-9.346791398,0,0 +17071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.31998376,-8.769897642,0,0 +17064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.42988936,-9.749683192,0,0 +17072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.35841601,-9.055169913,0,0 +17074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.27239709,-8.956626054,0,0 +17073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.9257027,-8.260610346,0,0 +17075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.49499896,-9.941986654,0,0 +17076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.86113652,-10.31353981,0,0 +17077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.4670799,-9.197054061,0,0 +17078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.925574516,-8.737414036,0,0 +17079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.61297198,-8.453734335,0,0 +17080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.957351371,-8.669925955,0,0 +17081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.81295595,-10.03641057,0,0 +17082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.03192451,-9.330426375,0,0 +17083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.02284868,-7.724843457,0,0 +17084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.7087852,-9.073885883,0,0 +17085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.66130048,-9.221597235,0,0 +17086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.6310804,-9.419577688,0,0 +17088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.16190984,-9.380410022,0,0 +17087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.50053782,-10.07417014,0,0 +17090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.02016945,-8.144795831,0,0 +17089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.18612674,-7.963874432,0,0 +17091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.16954033,-9.283749943,0,0 +17092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.957444504,-8.334363109,0,0 +17093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.32236006,-9.017753987,0,0 +17094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.36782992,-9.637336252,0,0 +17095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.64058143,-9.311040382,0,0 +17096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.7417017,-9.364792733,0,0 +17097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.01266093,-8.506755256,0,0 +17099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.68991758,-8.688099055,0,0 +17098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.28786313,-9.145833689,0,0 +17101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.32670301,-8.653410982,0,0 +17100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.28748845,-8.668391992,0,0 +17102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.74115918,-9.007626916,0,0 +17103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.19815638,-9.096058342,0,0 +17104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.39958652,-8.324304596,0,0 +17105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.08984926,-8.415977013,0,0 +17106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.6402823,-8.777223248,0,0 +17107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.04009973,-8.930173016,0,0 +17109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.13961944,-9.145195468,0,0 +17108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.58910341,-9.643872883,0,0 +17110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.00052917,-9.165404249,0,0 +17111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.54647145,-9.262503574,0,0 +17113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.2951994,-8.969905518,0,0 +17112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.77190669,-9.455979646,0,0 +17114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.24699181,-8.865646888,0,0 +17115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.53150968,-9.186306098,0,0 +17118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.56686741,-9.427482004,0,0 +17117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.49966762,-8.930932274,0,0 +17116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.60748521,-9.590228566,0,0 +17119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.18150919,-7.948918914,0,0 +17120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.5946001,-9.233852789,0,0 +17123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.23353032,-8.629686678,0,0 +17122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.5011849,-8.968399946,0,0 +17121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.2286836,-9.077896938,0,0 +17126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.21206262,-8.971331392,0,0 +17124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.07254058,-8.751922902,0,0 +17125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.07422615,-9.18410217,0,0 +17127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.05110035,-8.737958358,0,0 +17128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.130112,-9.062906102,0,0 +17129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.39520622,-9.324223822,0,0 +17130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.25992471,-8.659880199,0,0 +17131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.2463623,-8.756787104,0,0 +17134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.49722496,-9.436553673,0,0 +17132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.57341709,-9.364333584,0,0 +17133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.07865367,-7.561907772,0,0 +17135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.51898092,-8.93546013,0,0 +17136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.66364997,-9.235492963,0,0 +17137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.86427002,-9.397036665,0,0 +17138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.02182419,-8.969991113,0,0 +17140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.64456035,-9.511517903,0,0 +17139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.19691703,-8.879594519,0,0 +17141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.29809941,-9.616567553,0,0 +17142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.63982983,-9.307599794,0,0 +17143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.4482209,-8.95656215,0,0 +17144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.16277895,-8.073956821,0,0 +17145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.18440279,-8.763681963,0,0 +17146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.13895088,-8.580724421,0,0 +17149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.70964638,-9.073967231,0,0 +17147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.08637848,-8.661591209,0,0 +17150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.44332609,-9.099676701,0,0 +17148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.22771947,-9.219330784,0,0 +17151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.78687892,-9.050966254,0,0 +17152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.997999543,-7.937720509,0,0 +17153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.4428205,-8.809408262,0,0 +17154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.25330639,-8.753102624,0,0 +17155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.579452,-8.16624771,0,0 +17156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.981903867,-8.821220511,0,0 +17157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.73793234,-9.871224631,0,0 +17159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.05752195,-8.896484912,0,0 +17160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.51421938,-9.09426362,0,0 +17158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.43320927,-8.860245849,0,0 +17162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.72252711,-9.553901525,0,0 +17161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.08426734,-8.765971822,0,0 +17163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.49900554,-8.582812766,0,0 +17164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.22467388,-8.325912451,0,0 +17165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.67569734,-8.751263975,0,0 +17166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.47895354,-9.081809704,0,0 +17167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.48838998,-8.306306108,0,0 +17168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.0295483,-8.973740371,0,0 +17169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.63774351,-9.336980746,0,0 +17170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.42509925,-8.688142263,0,0 +17172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.64500115,-9.890692509,0,0 +17171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.1523845,-9.251638664,0,0 +17173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.997095156,-8.894039974,0,0 +17175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.34367199,-7.786617123,0,0 +17174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.35612773,-9.00226274,0,0 +17177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.48508709,-9.074186447,0,0 +17176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.78458672,-10.52462587,0,0 +17178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.31562486,-8.964206209,0,0 +17180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.23351148,-9.252268415,0,0 +17179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.04332748,-8.076071186,0,0 +17181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.963328491,-8.622063961,0,0 +17182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.50248169,-8.651304394,0,0 +17183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.23653152,-9.18139261,0,0 +17184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.58620429,-9.822978325,0,0 +17186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.921578008,-8.293013576,0,0 +17188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.11487758,-8.127409384,0,0 +17187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.54853914,-9.393560004,0,0 +17189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.70487225,-9.00144172,0,0 +17185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.22646158,-9.158251599,0,0 +17191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.67455906,-9.199548376,0,0 +17190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.60679439,-9.138069055,0,0 +17192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.941238937,-8.523940838,0,0 +17193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.59972258,-9.096114584,0,0 +17195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.00477572,-8.688283251,0,0 +17196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.65688334,-9.637525468,0,0 +17194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.08308557,-8.181575318,0,0 +17197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.07222621,-7.886260036,0,0 +17199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.48693484,-8.919660866,0,0 +17198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.72846721,-9.577554287,0,0 +17200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.16594609,-9.302260326,0,0 +17201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.41391766,-9.656486845,0,0 +17202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.63125051,-9.07886919,0,0 +17203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.1819508,-8.850494284,0,0 +17204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.71826009,-8.783276866,0,0 +17206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.38023483,-9.294661769,0,0 +17205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.22832988,-8.174777075,0,0 +17207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.58983565,-8.711778352,0,0 +17208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.64399632,-9.247996525,0,0 +17209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.66804355,-8.947252624,0,0 +17212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.31925722,-9.244028283,0,0 +17210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.31098169,-8.810671527,0,0 +17211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.60017739,-8.872381109,0,0 +17213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.71358328,-9.903670316,0,0 +17215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.73148874,-8.467496993,0,0 +17214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.06577428,-8.953335394,0,0 +17216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.36980963,-8.851517766,0,0 +17217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.12647197,-10.01117435,0,0 +17220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.04090099,-9.266743928,0,0 +17219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.75525577,-9.708570802,0,0 +17218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.74877439,-9.799705108,0,0 +17221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.24536643,-9.199628865,0,0 +17222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.75629376,-9.154690699,0,0 +17224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.34702395,-9.21390705,0,0 +17223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.993140898,-9.087778337,0,0 +17225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.75698879,-9.23792928,0,0 +17226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.06350042,-8.131393267,0,0 +17229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.41243481,-8.797757016,0,0 +17227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.18226073,-8.578922048,0,0 +17228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.58936472,-9.085147371,0,0 +17230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.0577866,-8.494959171,0,0 +17231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.47632949,-8.858662521,0,0 +17232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.7861291,-9.84514389,0,0 +17233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.16955963,-7.88077011,0,0 +17234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.59998273,-9.002601608,0,0 +17235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.17548212,-9.30221591,0,0 +17236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.18237793,-8.193055694,0,0 +17237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.21762674,-8.810021655,0,0 +17238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.67329996,-9.124326922,0,0 +17239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.22617965,-8.818442284,0,0 +17241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.35452582,-9.016328622,0,0 +17242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.62005491,-8.460383393,0,0 +17243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.04245519,-8.55562907,0,0 +17240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.51518003,-8.431899937,0,0 +17245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.946941076,-8.709573014,0,0 +17244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.27401233,-9.803165824,0,0 +17246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.46173109,-8.47515327,0,0 +17247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.77818497,-8.303615242,0,0 +17250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.64302058,-8.68346213,0,0 +17248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.38077603,-9.207508579,0,0 +17249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.62430091,-8.505898318,0,0 +17251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.07355711,-7.957353286,0,0 +17253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.08747648,-8.741106533,0,0 +17252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.53289554,-8.982518024,0,0 +17254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.69933963,-8.939872382,0,0 +17255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.23560727,-9.134115375,0,0 +17257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.49977963,-9.896295638,0,0 +17258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.07360538,-8.257251346,0,0 +17256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.45180824,-8.979677418,0,0 +17260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.09034767,-8.660113339,0,0 +17259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.24142238,-8.841619525,0,0 +17261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.44657614,-9.898937243,0,0 +17262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.81915794,-9.398546278,0,0 +17263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.72554869,-9.397383532,0,0 +17266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.5833652,-10.15034642,0,0 +17264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.11757899,-8.643809807,0,0 +17265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.49469818,-9.565398529,0,0 +17267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.78872589,-9.784814892,0,0 +17269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.65774592,-9.086891683,0,0 +17268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.16682028,-9.467498518,0,0 +17270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.7737434,-9.191689489,0,0 +17271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.73457449,-9.649093575,0,0 +17272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.34949776,-9.5489892,0,0 +17274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.65648159,-8.743162696,0,0 +17273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.48218876,-8.931132983,0,0 +17275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.53590527,-9.077295643,0,0 +17276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.75102427,-8.684674245,0,0 +17278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.985906735,-8.263077521,0,0 +17277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.4341871,-9.091483693,0,0 +17279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.955957386,-9.272611474,0,0 +17280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.28160767,-9.375633899,0,0 +17282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.53278728,-9.025173183,0,0 +17281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.62743742,-10.0245679,0,0 +17283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.41672139,-9.103638384,0,0 +17284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.23870176,-8.363555368,0,0 +17285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.68340569,-8.880695921,0,0 +17287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.44466254,-9.102199359,0,0 +17286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.97720425,-8.660149317,0,0 +17289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.48760739,-9.233261056,0,0 +17290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.55920997,-8.74823885,0,0 +17288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.85508051,-10.40661616,0,0 +17291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.44428846,-9.5997066,0,0 +17292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.49423835,-8.802486247,0,0 +17293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.30968701,-8.995336372,0,0 +17294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.34586918,-9.199218103,0,0 +17295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.21280045,-8.178484476,0,0 +17296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.30724056,-8.257175707,0,0 +17297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.41888074,-9.163325702,0,0 +17298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.73046993,-9.350264731,0,0 +17299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.10320907,-8.346439665,0,0 +17300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.28479073,-8.997944602,0,0 +17301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.64841151,-9.24839965,0,0 +17302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.25199855,-9.247396048,0,0 +17303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.16110873,-8.755495855,0,0 +17304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.26802329,-9.11899731,0,0 +17305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.55454575,-9.49934639,0,0 +17306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.72213877,-9.942557972,0,0 +17307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.87513966,-9.144291985,0,0 +17308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.4263122,-8.532431144,0,0 +17309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.44385232,-9.44644138,0,0 +17310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.72088603,-9.945587376,0,0 +17311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.74884608,-9.39426265,0,0 +17312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.70905208,-9.374117906,0,0 +17313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.07580036,-9.186134723,0,0 +17314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.51420124,-8.326950908,0,0 +17316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.33569162,-9.529449111,0,0 +17315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.33805783,-9.300655573,0,0 +17317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.41034049,-8.525604906,0,0 +17318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.7544201,-9.21437029,0,0 +17320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.03977845,-8.054069395,0,0 +17322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.7128169,-9.704835168,0,0 +17319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.18866398,-9.414602238,0,0 +17321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.77586304,-9.165220911,0,0 +17324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.26073157,-9.06737454,0,0 +17323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.10105474,-9.057292441,0,0 +17325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.01064885,-9.465346297,0,0 +17326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.70945869,-8.842817317,0,0 +17327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.51700787,-9.814823456,0,0 +17329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.25634849,-9.003761942,0,0 +17328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.7940159,-9.13735891,0,0 +17330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.48264923,-9.230098586,0,0 +17333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.74008529,-9.749925241,0,0 +17331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.55559173,-8.395901992,0,0 +17332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.73800479,-8.664351732,0,0 +17334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.74101549,-8.518189222,0,0 +17335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.987024287,-8.275480862,0,0 +17336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.90240968,-9.471979442,0,0 +17338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.22802875,-9.438643473,0,0 +17340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.04408147,-8.866252251,0,0 +17341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.0583738,-9.14848561,0,0 +17339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.33502377,-8.731221368,0,0 +17337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.50492305,-9.447185695,0,0 +17342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.95657863,-9.044937582,0,0 +17343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.13411748,-8.889172963,0,0 +17344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.1661243,-8.894242862,0,0 +17345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.5896359,-8.783324727,0,0 +17348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.971694287,-8.914908198,0,0 +17346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.974035222,-8.919361933,0,0 +17347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.12390187,-9.000332535,0,0 +17350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.48312479,-9.228273234,0,0 +17351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.13419816,-8.814791712,0,0 +17352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.45392579,-9.082723913,0,0 +17349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.04562735,-9.361632502,0,0 +17353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.71823033,-9.047042634,0,0 +17355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.10296804,-8.914794033,0,0 +17354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.53679227,-9.166727914,0,0 +17356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.69539331,-9.407499638,0,0 +17357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.02460579,-9.159231047,0,0 +17358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.73051928,-9.116516072,0,0 +17360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.3702154,-9.563003217,0,0 +17359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.17702564,-9.932945494,0,0 +17361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.68670832,-8.98872536,0,0 +17363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.71558432,-9.145151674,0,0 +17364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.01581568,-9.139078437,0,0 +17362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.5769958,-9.593582589,0,0 +17366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.12287309,-8.673342125,0,0 +17365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.22505408,-9.355087862,0,0 +17369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.71774604,-9.739807746,0,0 +17368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.04094513,-8.150049549,0,0 +17370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.69736127,-9.325753112,0,0 +17372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.25410032,-8.241747948,0,0 +17367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.38228581,-9.028728049,0,0 +17373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.56981913,-8.94551008,0,0 +17371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.43828543,-8.928485434,0,0 +17374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.28482483,-8.956338654,0,0 +17376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.45548594,-8.906986165,0,0 +17377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.39818789,-8.835241773,0,0 +17378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.45483661,-9.08535831,0,0 +17375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.78971715,-9.820788037,0,0 +17380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.11170105,-9.421159662,0,0 +17382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.53986853,-8.845571878,0,0 +17381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.01066346,-8.694917096,0,0 +17379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.25894857,-8.787617107,0,0 +17383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.74486708,-9.317145515,0,0 +17385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.34586851,-8.219536477,0,0 +17386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.37129008,-8.740654809,0,0 +17384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.02012059,-7.702775183,0,0 +17388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.08327031,-8.733751683,0,0 +17387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.73172466,-9.742100952,0,0 +17389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.71838473,-9.387411572,0,0 +17391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.3588695,-8.60617389,0,0 +17390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.23671614,-9.546569803,0,0 +17392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.18095642,-9.136737556,0,0 +17393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.81465523,-9.567080479,0,0 +17394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.84638325,-9.764959076,0,0 +17396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.32023641,-8.501649858,0,0 +17395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.54420253,-9.048656477,0,0 +17397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.16619871,-9.24669676,0,0 +17398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.28830229,-8.801344556,0,0 +17399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.36836317,-8.689006178,0,0 +17400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.34140258,-9.013867194,0,0 +17401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.18806081,-8.753477315,0,0 +17402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.22559548,-7.977617922,0,0 +17404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.37728333,-8.552543658,0,0 +17403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.40074193,-8.797308514,0,0 +17405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.38081746,-9.302726378,0,0 +17406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.36324978,-8.517382989,0,0 +17407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.53816496,-9.014349903,0,0 +17410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.05634036,-8.755355625,0,0 +17411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.11634095,-8.843140429,0,0 +17412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.77683584,-9.224029564,0,0 +17408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.7269418,-8.914071337,0,0 +17409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.53045166,-9.106298845,0,0 +17413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.22092388,-8.660977962,0,0 +17414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.30091458,-8.640194648,0,0 +17417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.06906173,-9.01667358,0,0 +17419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.68708532,-9.374129048,0,0 +17415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.3627631,-9.182715251,0,0 +17420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.13288758,-8.919506995,0,0 +17418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.36554395,-9.072942032,0,0 +17416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.30806539,-8.942810369,0,0 +17421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.38016084,-8.799633293,0,0 +17422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.18717468,-8.912370049,0,0 +17423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.76051785,-9.189616389,0,0 +17424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.02535955,-8.749086539,0,0 +17427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.55519736,-9.704905885,0,0 +17428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.21439501,-9.203971305,0,0 +17425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.58834786,-9.120903139,0,0 +17429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.75691931,-9.84105061,0,0 +17426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.63904548,-9.165202953,0,0 +17430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.72270799,-8.818747173,0,0 +17431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.60351284,-8.939421568,0,0 +17432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.50321231,-9.064509569,0,0 +17434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.20351908,-8.760963287,0,0 +17435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.40773612,-8.324536565,0,0 +17433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.49110391,-9.426706628,0,0 +17436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.42730695,-9.279466799,0,0 +17437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.30532116,-8.811572685,0,0 +17438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.32017586,-8.578642317,0,0 +17439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.952443694,-8.577725116,0,0 +17440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.59556454,-8.506014823,0,0 +17442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.85092263,-9.161895225,0,0 +17443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.29824701,-9.416615777,0,0 +17441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.67485505,-8.651786008,0,0 +17445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.86424358,-9.825152178,0,0 +17444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.31914548,-8.71847337,0,0 +17446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.43822725,-9.277792323,0,0 +17447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.77943141,-9.517884974,0,0 +17450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.18066089,-8.894418887,0,0 +17451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.80630769,-9.456302358,0,0 +17452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.38066082,-8.981672412,0,0 +17448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.2832656,-8.53703359,0,0 +17453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.6469631,-9.619704727,0,0 +17455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.27584138,-8.668027003,0,0 +17456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.964792686,-8.899834818,0,0 +17449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.17570103,-8.450737173,0,0 +17458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.24923392,-9.156457381,0,0 +17454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.67448378,-10.03641049,0,0 +17459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.07672131,-8.961286232,0,0 +17460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.6241752,-9.497076612,0,0 +17457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.21566895,-8.138134963,0,0 +17461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.18118093,-8.612690485,0,0 +17462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.49023044,-9.451248132,0,0 +17463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.70133575,-10.08648328,0,0 +17464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.40610139,-9.111474784,0,0 +17466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.83191362,-9.254102422,0,0 +17465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.76895513,-9.831563056,0,0 +17467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.7164482,-9.712232606,0,0 +17468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.15962926,-8.699104568,0,0 +17469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.53724828,-8.548067695,0,0 +17472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.78310958,-9.240791103,0,0 +17470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.62282589,-9.571160271,0,0 +17473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.52761086,-9.077719554,0,0 +17471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.17735786,-9.365531627,0,0 +17474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.4360238,-9.395740272,0,0 +17476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.18745707,-8.164811964,0,0 +17477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.31637483,-9.15706538,0,0 +17475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.37252822,-9.078192617,0,0 +17478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.1736182,-8.694446318,0,0 +17479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.63577268,-9.124571984,0,0 +17480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.68037141,-8.943132493,0,0 +17481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.26797469,-9.537836754,0,0 +17485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.71620315,-9.503362038,0,0 +17482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.16208761,-8.60863378,0,0 +17484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.51750135,-8.952702022,0,0 +17483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.76662834,-9.782940636,0,0 +17486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.27741648,-9.036989064,0,0 +17488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.10446712,-8.098287473,0,0 +17487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.928650152,-8.136254895,0,0 +17490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.50666768,-8.610330933,0,0 +17489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.5573509,-8.952362345,0,0 +17492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.10398559,-9.663285699,0,0 +17491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.43834964,-9.746463938,0,0 +17493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.83610685,-9.557985876,0,0 +17494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.10519919,-9.579881993,0,0 +17495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.74785736,-9.452360823,0,0 +17496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.42813564,-8.809240887,0,0 +17497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.24511184,-8.494860354,0,0 +17498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.62063699,-9.068254691,0,0 +17499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.68963392,-9.154151542,0,0 +17502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.04428039,-9.231599414,0,0 +17501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.68989725,-9.366006856,0,0 +17504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.05617052,-8.275737629,0,0 +17500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.946295521,-8.219759897,0,0 +17503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.73514598,-10.18803952,0,0 +17505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.19302872,-8.261722528,0,0 +17507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.36366933,-9.262930266,0,0 +17509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.13188727,-8.763568906,0,0 +17508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.8431963,-9.78306627,0,0 +17506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.61522021,-9.343934549,0,0 +17510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.40124851,-9.005296285,0,0 +17511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.26706319,-9.097890435,0,0 +17512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.41731778,-8.266413158,0,0 +17515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.82514454,-9.6985612,0,0 +17513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.33545501,-9.387730463,0,0 +17517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.63329722,-9.548676482,0,0 +17516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.21064776,-8.464522796,0,0 +17514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.39318806,-8.898447574,0,0 +17518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.47284618,-8.776968635,0,0 +17519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.22757144,-8.389064985,0,0 +17522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.40956436,-9.721906082,0,0 +17521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.29162191,-8.665128006,0,0 +17525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.43787614,-9.739070022,0,0 +17520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.4929609,-8.916174819,0,0 +17524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.20315604,-9.71909067,0,0 +17526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.36159358,-8.915487802,0,0 +17523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.37406716,-9.12418381,0,0 +17529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.82007936,-9.183632464,0,0 +17532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.20351748,-9.245852024,0,0 +17530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.7228454,-9.156998559,0,0 +17531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.49419881,-9.195633091,0,0 +17533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.1522702,-8.163688475,0,0 +17534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.49916697,-9.910689445,0,0 +17527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.03586656,-8.449429847,0,0 +17528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.46010006,-8.905532176,0,0 +17535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.78151122,-9.35010231,0,0 +17537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.0734807,-8.510302238,0,0 +17538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.63907274,-9.337720011,0,0 +17536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.27205938,-9.346395766,0,0 +17539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.67537014,-8.460814148,0,0 +17540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.71122005,-8.934467078,0,0 +17541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.67038599,-9.217159436,0,0 +17542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.09713232,-9.325263939,0,0 +17543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.66786083,-9.545499492,0,0 +17544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.964682888,-8.446954978,0,0 +17545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.78842226,-9.694897628,0,0 +17546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.19325912,-9.444241258,0,0 +17547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.008889,-9.463149194,0,0 +17549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.11345297,-8.721715072,0,0 +17550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.75844021,-9.175656535,0,0 +17548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.60279039,-8.987984669,0,0 +17551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.09849353,-8.720683773,0,0 +17553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.36829496,-8.932236835,0,0 +17552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.56440374,-9.099770574,0,0 +17554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.58326615,-9.669656121,0,0 +17555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.11661479,-8.277301665,0,0 +17556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.15401539,-7.675794709,0,0 +17558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.80787181,-9.504348455,0,0 +17559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.70929034,-9.306257635,0,0 +17560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.28387411,-8.993144017,0,0 +17557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.15192178,-8.63142684,0,0 +17561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.39541313,-8.644244867,0,0 +17562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.11659952,-8.824476247,0,0 +17563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.01012257,-9.046170259,0,0 +17564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.96871323,-7.91836845,0,0 +17565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.60289272,-8.763926189,0,0 +17566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.40004301,-9.296920669,0,0 +17567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.72424892,-9.017927609,0,0 +17568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.05344339,-9.277078505,0,0 +17569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.6953116,-9.353112786,0,0 +17570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.62232705,-10.18339396,0,0 +17571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.966420745,-8.948895147,0,0 +17573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.51175978,-9.620031024,0,0 +17572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.36398493,-8.879288944,0,0 +17574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.02040729,-8.283697663,0,0 +17575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.04464745,-8.377366823,0,0 +17576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.61376631,-10.13955884,0,0 +17577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.78682045,-9.351652147,0,0 +17578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.75135863,-9.918601784,0,0 +17579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.66060098,-8.752498205,0,0 +17581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.70143688,-8.835355975,0,0 +17582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.42658798,-8.65234529,0,0 +17583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.72666137,-8.912530772,0,0 +17580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.24057494,-8.238718129,0,0 +17585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.57040565,-8.536134843,0,0 +17586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.42647147,-9.125035113,0,0 +17587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.04955699,-8.528639661,0,0 +17584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.74461886,-9.221719732,0,0 +17590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.0666049,-8.471900509,0,0 +17588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.26254762,-8.829333277,0,0 +17589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.52891636,-9.284051656,0,0 +17591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.40062508,-9.378641292,0,0 +17592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.60158319,-9.878921092,0,0 +17594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.0681561,-7.639601305,0,0 +17593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.16261117,-9.372669327,0,0 +17598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.09211466,-8.486473726,0,0 +17595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.22542876,-9.353314587,0,0 +17597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.32945276,-9.572421283,0,0 +17596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.15050246,-8.526714854,0,0 +17600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.00673699,-9.045655771,0,0 +17599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.52943798,-9.465812886,0,0 +17602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.25268228,-9.140973937,0,0 +17601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.3557068,-8.937454792,0,0 +17603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.895935805,-8.940377899,0,0 +17605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.74382719,-8.747565811,0,0 +17606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.22913719,-8.654908003,0,0 +17608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.77175415,-8.884880572,0,0 +17604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.44241406,-8.799400537,0,0 +17609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.16931293,-9.172157573,0,0 +17610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.62062256,-9.0374856,0,0 +17611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.70418736,-8.966636775,0,0 +17607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.02673838,-8.111848356,0,0 +17613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.08737669,-8.95203876,0,0 +17612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.43920933,-8.650520562,0,0 +17616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.04285303,-8.160150028,0,0 +17614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.7106216,-9.243190247,0,0 +17615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.992345497,-8.604819971,0,0 +17617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.70782667,-8.999407203,0,0 +17620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.53708237,-8.906589032,0,0 +17619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.99029082,-8.514168576,0,0 +17618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.6368189,-9.256990563,0,0 +17621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.55650228,-9.360552937,0,0 +17625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.27170811,-8.596062174,0,0 +17623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.41922352,-8.488665879,0,0 +17624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.19875659,-8.21503013,0,0 +17627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.29283977,-9.014123676,0,0 +17628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.02005589,-8.866839583,0,0 +17622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.46472994,-9.298674838,0,0 +17629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.93442932,-9.214198881,0,0 +17626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.28075344,-8.635908999,0,0 +17631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.42022126,-8.756776441,0,0 +17630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.11943353,-8.609445363,0,0 +17633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.59542399,-9.390307083,0,0 +17635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.4028501,-9.743808795,0,0 +17634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.71489001,-9.634622676,0,0 +17636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.14583205,-8.899673199,0,0 +17632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.73140941,-9.078704174,0,0 +17637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.24668088,-8.263476347,0,0 +17639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.72355655,-9.626736292,0,0 +17638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.811930657,-8.71499918,0,0 +17640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.11377756,-8.890208231,0,0 +17642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.990085406,-8.011979188,0,0 +17641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.04696952,-8.924550866,0,0 +17645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.37061934,-8.718182508,0,0 +17644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.79229421,-9.590214768,0,0 +17643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.15825272,-8.90463765,0,0 +17646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.19977321,-8.503770142,0,0 +17647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.71061914,-8.898935255,0,0 +17648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.7965684,-9.467745868,0,0 +17649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.41529937,-8.193025894,0,0 +17651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.35653355,-9.235653612,0,0 +17653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.04169078,-8.151033339,0,0 +17654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.58640255,-9.553652341,0,0 +17650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.42914598,-9.247932754,0,0 +17652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.67015059,-8.174464933,0,0 +17656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.66215844,-9.714099382,0,0 +17655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.6027575,-9.371916806,0,0 +17657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.58255987,-9.769005005,0,0 +17658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.46058832,-8.926460052,0,0 +17660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.63182884,-8.397385747,0,0 +17661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.915065058,-8.46797563,0,0 +17662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.924971513,-7.811083058,0,0 +17665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.36191541,-8.380721392,0,0 +17659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.08740695,-8.779888009,0,0 +17664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.10990363,-8.651049769,0,0 +17663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.19072632,-9.49864521,0,0 +17667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.5437972,-9.495695655,0,0 +17668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.53814906,-8.40419337,0,0 +17666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.55114716,-9.159944644,0,0 +17670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.82930827,-9.362460229,0,0 +17673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.62010195,-9.310054736,0,0 +17671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.27896864,-9.13061867,0,0 +17672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.63478363,-8.905036426,0,0 +17669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.59606458,-9.788983023,0,0 +17674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.29317612,-8.592635125,0,0 +17675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.70117474,-9.6451706,0,0 +17676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.33977941,-9.383895175,0,0 +17677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.24217534,-8.549004604,0,0 +17678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.24707659,-8.901226271,0,0 +17679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.20749384,-8.33850852,0,0 +17680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.38380979,-8.467172626,0,0 +17681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.6852938,-9.081796864,0,0 +17682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.81896703,-8.783983244,0,0 +17685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.35852918,-9.152854247,0,0 +17683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.25636631,-8.651708896,0,0 +17687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.17328406,-8.941950677,0,0 +17686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.45760425,-8.865007176,0,0 +17684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.5002126,-8.767889719,0,0 +17688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.14789984,-7.303757507,0,0 +17690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.58311858,-9.01098655,0,0 +17691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.05029158,-8.826025977,0,0 +17692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.79049061,-9.234452972,0,0 +17693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.12504629,-7.930864519,0,0 +17694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.21059403,-8.587572833,0,0 +17695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.81703438,-9.291973517,0,0 +17689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.61704038,-9.530447084,0,0 +17696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.50666602,-9.357251857,0,0 +17697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.10782771,-8.915055047,0,0 +17698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.45131186,-8.459496808,0,0 +17701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.75109102,-9.442161465,0,0 +17699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.5976691,-8.795208682,0,0 +17703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.10159072,-9.420657599,0,0 +17704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.24684694,-8.327087998,0,0 +17702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.24604459,-9.066818979,0,0 +17700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.64978202,-8.629787479,0,0 +17705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.65745179,-8.298445932,0,0 +17706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.55917222,-9.311956993,0,0 +17707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.21159372,-8.584184361,0,0 +17708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.29818829,-9.819436317,0,0 +17711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.2370807,-9.021586862,0,0 +17712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.75897174,-9.747805698,0,0 +17710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.9618812,-9.563013027,0,0 +17709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.21579109,-8.321840828,0,0 +17713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.46033869,-9.326109515,0,0 +17714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.75394488,-9.185802417,0,0 +17715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.72938046,-10.15277549,0,0 +17716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.995338251,-8.982643565,0,0 +17717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.01877071,-9.274271477,0,0 +17718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.67272484,-8.641160462,0,0 +17720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.66613501,-8.60600309,0,0 +17719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.39627485,-7.999346698,0,0 +17721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.47999364,-8.908548423,0,0 +17722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.61962552,-9.273632341,0,0 +17723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.1959136,-8.616492068,0,0 +17724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.59077673,-9.322937862,0,0 +17726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.43663643,-8.638748159,0,0 +17725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.03181882,-7.682881523,0,0 +17728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.71275856,-9.315602911,0,0 +17731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.35092986,-9.22843871,0,0 +17727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.34362141,-9.464790714,0,0 +17730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.05009653,-8.389931421,0,0 +17732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.06577408,-8.791573979,0,0 +17729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.16842217,-8.51861857,0,0 +17734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.13318634,-9.060216795,0,0 +17735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.17262206,-8.304062956,0,0 +17733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.50375154,-9.420469239,0,0 +17738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.48996928,-8.749142112,0,0 +17736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.20668083,-9.202182257,0,0 +17739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.13547372,-8.457590565,0,0 +17740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.24271805,-8.944231765,0,0 +17737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.49780923,-8.581912373,0,0 +17742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.48601339,-9.994769196,0,0 +17743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.21476147,-8.628425078,0,0 +17741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.51152826,-9.207696513,0,0 +17744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.46516766,-9.282797848,0,0 +17746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.74090956,-9.680297841,0,0 +17745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.18721953,-8.751296912,0,0 +17747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.45963124,-9.465738123,0,0 +17748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.68099412,-9.071468532,0,0 +17751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.53156454,-9.075409697,0,0 +17754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.51613945,-8.837377436,0,0 +17753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.21126358,-8.896195825,0,0 +17752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.231481,-8.691723298,0,0 +17749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.37185185,-8.517182684,0,0 +17750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.51141517,-8.356785826,0,0 +17755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.57169983,-9.583778335,0,0 +17756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.37846993,-9.146352793,0,0 +17758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.5887023,-8.713895177,0,0 +17759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.41853261,-8.74664693,0,0 +17760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.21058685,-8.96006805,0,0 +17761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.36799487,-8.009180263,0,0 +17762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.24844981,-8.85474143,0,0 +17763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.39356313,-8.705797774,0,0 +17757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.71974675,-9.905587143,0,0 +17765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.67423917,-8.951637442,0,0 +17766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.2969943,-9.283625913,0,0 +17770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.08397999,-8.455141406,0,0 +17767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.11129538,-7.931963773,0,0 +17764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.09807625,-8.367171716,0,0 +17769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.24311633,-8.819629233,0,0 +17771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.34865802,-8.845193068,0,0 +17768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.20420537,-9.485109875,0,0 +17773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.60818783,-9.073241852,0,0 +17772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.18849691,-8.645287996,0,0 +17776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.14900674,-8.634480008,0,0 +17774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.942328938,-8.468977076,0,0 +17775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.74181785,-9.049427503,0,0 +17778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.41302892,-9.312142726,0,0 +17779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.62904089,-8.954874709,0,0 +17777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.43879339,-8.532197367,0,0 +17780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.4593063,-8.78516288,0,0 +17783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.08377576,-8.386852983,0,0 +17781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.04025325,-8.765692416,0,0 +17782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.13377849,-8.660047793,0,0 +17784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.24420712,-7.943753786,0,0 +17785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.53506958,-9.037005111,0,0 +17786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.05417952,-8.534993029,0,0 +17787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.63811629,-8.57398493,0,0 +17788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.04400395,-8.610757725,0,0 +17789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.22500175,-8.95674385,0,0 +17790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.19471119,-9.086185595,0,0 +17793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.13210153,-8.396729417,0,0 +17794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.12373847,-9.039749859,0,0 +17791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.36861232,-8.99741351,0,0 +17795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.29414157,-8.886207698,0,0 +17792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.28384956,-8.332399413,0,0 +17796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.67757656,-9.656977382,0,0 +17798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.07475349,-8.007668833,0,0 +17797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.52636932,-9.392319447,0,0 +17799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.958797909,-8.597130779,0,0 +17800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.38244748,-8.720626959,0,0 +17801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.12508598,-8.654093732,0,0 +17802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.950057075,-8.313926334,0,0 +17803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.1336923,-9.789159794,0,0 +17804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.55352566,-9.085729857,0,0 +17805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.54082762,-8.797174613,0,0 +17806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.64351949,-9.870945952,0,0 +17807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.14437479,-8.271206287,0,0 +17808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.940584506,-8.795332797,0,0 +17809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.59501425,-8.730798425,0,0 +17810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.20936169,-9.271311535,0,0 +17812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.31353176,-8.724103023,0,0 +17813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.07425051,-8.531203114,0,0 +17814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.20662554,-8.900502492,0,0 +17811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.63395964,-9.146889208,0,0 +17815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.73877302,-9.679580037,0,0 +17816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.12110133,-9.329007339,0,0 +17817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.00989289,-9.072992927,0,0 +17819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.18130486,-9.644237052,0,0 +17818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.70631868,-8.720827166,0,0 +17820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.96327784,-8.957532089,0,0 +17824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.77717307,-9.144633432,0,0 +17821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.19758835,-8.268613677,0,0 +17823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.50414007,-9.175251362,0,0 +17822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.27242278,-8.570864115,0,0 +17825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.76226002,-9.616809953,0,0 +17826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.48297536,-9.341645877,0,0 +17827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.46745327,-8.956707887,0,0 +17828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.6470017,-9.682438475,0,0 +17829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.15696545,-8.844361944,0,0 +17830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.44672805,-9.242604632,0,0 +17831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.58734562,-9.430426156,0,0 +17832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.77915038,-9.141657259,0,0 +17834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.59803753,-9.332677685,0,0 +17833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.36405249,-8.928123521,0,0 +17836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.16082607,-8.412503952,0,0 +17835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.26710228,-8.709412211,0,0 +17838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.49383962,-7.894242909,0,0 +17837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.55703805,-9.509298602,0,0 +17839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.69658448,-9.617345454,0,0 +17841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.34708791,-9.243729552,0,0 +17843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.76184115,-9.258715508,0,0 +17842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.42166714,-8.855092166,0,0 +17840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.43045869,-9.407247807,0,0 +17844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.47135229,-9.576003867,0,0 +17845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.930254753,-7.901449514,0,0 +17846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.00202965,-9.360365778,0,0 +17847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.39501172,-9.626665615,0,0 +17848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.993297577,-9.230586595,0,0 +17851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.02527552,-8.101780211,0,0 +17849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.56885856,-8.276726235,0,0 +17850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.31672229,-9.063853755,0,0 +17852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.66670879,-8.834824477,0,0 +17853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.40191611,-8.492460276,0,0 +17854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.40395916,-8.960141723,0,0 +17855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.18738493,-9.032266922,0,0 +17856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.20387501,-9.134694842,0,0 +17858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.89903679,-9.118559018,0,0 +17859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.28914635,-8.284407698,0,0 +17861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.03769674,-9.013565366,0,0 +17860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.62828994,-9.192273992,0,0 +17857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.60634183,-8.366167923,0,0 +17863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.56219002,-9.155296491,0,0 +17864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.82543838,-9.077002316,0,0 +17862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.32278341,-9.202128437,0,0 +17865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.77503155,-9.013235439,0,0 +17866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.37134763,-8.820189472,0,0 +17867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.960279828,-8.286381985,0,0 +17868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.49856801,-9.215588282,0,0 +17871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.65236611,-9.639792842,0,0 +17870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.20214709,-9.25789853,0,0 +17869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.75424961,-8.82467799,0,0 +17873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.45684674,-9.574601564,0,0 +17872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.06599897,-8.229339721,0,0 +17874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.10283259,-9.014826557,0,0 +17875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.42888368,-9.291346818,0,0 +17877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.61525756,-9.026881742,0,0 +17878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.73159881,-9.201651637,0,0 +17876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.01609171,-8.238149584,0,0 +17880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.16042697,-9.168118307,0,0 +17879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.12767809,-8.634518574,0,0 +17881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.45958031,-8.491245922,0,0 +17883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.35865837,-9.183356341,0,0 +17882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.02195845,-8.486277608,0,0 +17884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.02129365,-9.322820973,0,0 +17885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.26000775,-8.7508298,0,0 +17886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.16887186,-8.649918667,0,0 +17887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.51243103,-9.537011959,0,0 +17889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.19919939,-9.157191251,0,0 +17888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.39500338,-8.406393974,0,0 +17890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.45493696,-9.399526257,0,0 +17891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.6579222,-9.183003836,0,0 +17893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.16711152,-8.897730792,0,0 +17892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.81921084,-9.389040737,0,0 +17894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.977024296,-8.572045486,0,0 +17896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.50544197,-9.019927109,0,0 +17895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.03776976,-8.730718259,0,0 +17897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.79839201,-9.468711217,0,0 +17898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.31256482,-9.260611731,0,0 +17899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.64783692,-9.323881167,0,0 +17901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.77872137,-10.05357572,0,0 +17900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.44531888,-9.908720763,0,0 +17902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.03398081,-9.0640194,0,0 +17903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.07818466,-8.601835476,0,0 +17904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.46391982,-8.658653777,0,0 +17906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.54320625,-9.907604925,0,0 +17907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.32016149,-8.38878885,0,0 +17909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.60638169,-9.050510591,0,0 +17908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.44338842,-9.020333126,0,0 +17905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.52771081,-9.111577823,0,0 +17911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.35527347,-8.755094982,0,0 +17912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.72373515,-9.863472107,0,0 +17910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.51910167,-9.336299707,0,0 +17913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.7187212,-8.901709952,0,0 +17914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.53829393,-8.995348553,0,0 +17916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.25413978,-8.985525356,0,0 +17915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.10855029,-8.529158881,0,0 +17917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.46742664,-9.862237143,0,0 +17918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.27634989,-8.815320224,0,0 +17919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.78143855,-8.827942132,0,0 +17920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.75474374,-9.360872141,0,0 +17921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.07205837,-9.0526327,0,0 +17922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.23787726,-8.737281393,0,0 +17923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.59764859,-10.15472393,0,0 +17924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.29255146,-9.351251685,0,0 +17926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.31497611,-8.852785737,0,0 +17927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.04842863,-8.040486596,0,0 +17928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.7425371,-9.4801424,0,0 +17925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.70461611,-9.39747762,0,0 +17929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.76805456,-9.805320022,0,0 +17930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.39895403,-9.037849962,0,0 +17931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.985558661,-9.12325048,0,0 +17932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.05629005,-9.041753999,0,0 +17934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.81827162,-8.488737151,0,0 +17935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.38278033,-8.786617798,0,0 +17933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.63236189,-9.380044649,0,0 +17937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.961673244,-8.909274582,0,0 +17936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.53752387,-9.735598001,0,0 +17938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.58125992,-8.848705578,0,0 +17939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.41971126,-9.528194261,0,0 +17940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.18788663,-9.165010172,0,0 +17941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.2391645,-8.080167955,0,0 +17942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.914638754,-9.305526507,0,0 +17943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.78769077,-9.646975821,0,0 +17944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.6310747,-8.84235193,0,0 +17946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.29446232,-9.194227945,0,0 +17947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.2489536,-8.556899626,0,0 +17948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.21929849,-9.149197444,0,0 +17945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.81933537,-9.793277588,0,0 +17949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.26666758,-9.394508858,0,0 +17951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.14376789,-9.120518881,0,0 +17950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.66143483,-8.686478645,0,0 +17952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.902600963,-7.972783608,0,0 +17954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.27010344,-8.977422296,0,0 +17955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.05807214,-8.814421168,0,0 +17956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.36684671,-8.378217675,0,0 +17953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.19507703,-8.27743712,0,0 +17958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.00900521,-8.248480571,0,0 +17957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.65906148,-9.358009427,0,0 +17959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.05902252,-9.147030119,0,0 +17960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.25829426,-8.0105369,0,0 +17961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.32504037,-9.345684292,0,0 +17962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.3314228,-9.393513873,0,0 +17964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.39667861,-8.516194174,0,0 +17966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.27273355,-8.928300901,0,0 +17967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.02701996,-8.871485982,0,0 +17968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.67838912,-9.339586447,0,0 +17969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.46500283,-9.885420363,0,0 +17963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.86113948,-9.201429753,0,0 +17970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.29100648,-9.211701968,0,0 +17965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.03461904,-8.817309181,0,0 +17971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.64240595,-9.561580061,0,0 +17973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.59873814,-9.098300719,0,0 +17972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.60774182,-9.047669774,0,0 +17975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.15467585,-9.277289564,0,0 +17974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.22690979,-8.43346061,0,0 +17976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.67666744,-9.317786465,0,0 +17977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.02550236,-8.087307107,0,0 +17978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.76131448,-8.942613568,0,0 +17979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.31545191,-9.271898421,0,0 +17981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.27317002,-9.110437986,0,0 +17983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.977168298,-8.348111319,0,0 +17982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.28746935,-9.435337208,0,0 +17980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.00722171,-9.66393505,0,0 +17985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.4229027,-9.019094137,0,0 +17986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.32208409,-9.090575892,0,0 +17987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.04793921,-8.845181106,0,0 +17988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.45580357,-8.183864032,0,0 +17984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.52695275,-9.532606246,0,0 +17989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.23472107,-8.122033897,0,0 +17990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.63380059,-8.927250135,0,0 +17991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.67262633,-9.601267943,0,0 +17992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.09610665,-9.110713466,0,0 +17993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.47767933,-9.253699744,0,0 +17995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.03301619,-8.749231128,0,0 +17996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.45593329,-9.077577856,0,0 +17994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.10997067,-9.341126461,0,0 +17997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-9.922076653,-9.049147605,0,0 +17998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.11437054,-8.819213022,0,0 +18000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.11524585,-9.225454419,0,0 +17999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.85,10,1,-10.33441324,-8.995026647,0,0 +18001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.2125098,-9.518055442,0,0 +18002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.49886798,-9.64901992,0,0 +18004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.78633357,-10.0892266,0,0 +18005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.232887,-9.571781893,0,0 +18006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.63383798,-10.11692563,0,0 +18007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.52982765,-9.928654163,0,0 +18008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.0304177,-9.466367087,0,0 +18009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.35714859,-9.956393716,0,0 +18003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.04695145,-9.114819018,0,0 +18010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.990744862,-8.955336824,0,0 +18012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.933518621,-9.001727366,0,0 +18011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.68357996,-9.867662839,0,0 +18014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.5690688,-9.874622131,0,0 +18015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.69342831,-10.28532536,0,0 +18013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.64466395,-9.37328501,0,0 +18016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.27507356,-9.491290808,0,0 +18017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.47394174,-9.558784642,0,0 +18018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.43691902,-9.354751106,0,0 +18019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.20218443,-8.904308448,0,0 +18020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.10907688,-9.542999488,0,0 +18021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.07445583,-9.287897374,0,0 +18023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.70577079,-9.929578411,0,0 +18024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.01938279,-8.892634846,0,0 +18022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.29883406,-9.063428464,0,0 +18026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.958996748,-8.989651454,0,0 +18025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.8198966,-9.983697161,0,0 +18027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.959838896,-9.418845217,0,0 +18028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.57822943,-10.08289108,0,0 +18029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.4256761,-9.20898757,0,0 +18030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.38666126,-9.333422963,0,0 +18031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.15988949,-9.038507175,0,0 +18032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.27658787,-9.781561538,0,0 +18033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.916830309,-9.379021665,0,0 +18036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.40489032,-9.777004272,0,0 +18034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.22197307,-9.122400002,0,0 +18035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.69267945,-9.661701162,0,0 +18037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.20664323,-9.603211012,0,0 +18038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.72349018,-9.603577875,0,0 +18039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.5048231,-10.16959644,0,0 +18040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.69324195,-10.08878741,0,0 +18041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.65572305,-9.822294055,0,0 +18042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.04478784,-9.41635584,0,0 +18044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.30325576,-9.318035381,0,0 +18045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.6375296,-9.74936906,0,0 +18046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.4469158,-9.287585966,0,0 +18043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.40980323,-9.996403148,0,0 +18047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.1852923,-9.228426779,0,0 +18048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.28966405,-9.384623201,0,0 +18049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.14506322,-9.054284483,0,0 +18050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.7728699,-10.134095,0,0 +18052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.18183885,-9.186061039,0,0 +18051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.61266573,-10.01603067,0,0 +18053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.72641886,-9.621778838,0,0 +18055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.30104737,-9.167682714,0,0 +18054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.913411954,-8.688616544,0,0 +18056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.960634789,-9.225900522,0,0 +18057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.19655626,-9.484154642,0,0 +18058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.54304629,-9.46736461,0,0 +18059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.47142249,-9.400254081,0,0 +18060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.71475927,-9.843628086,0,0 +18061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.61053677,-9.571516215,0,0 +18062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.59383923,-9.692543531,0,0 +18064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.11203169,-9.246710998,0,0 +18065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.14580476,-9.564964342,0,0 +18063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.19379676,-9.557746631,0,0 +18066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.01278971,-9.293121492,0,0 +18067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.32802991,-9.368853912,0,0 +18068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.39211904,-9.118606818,0,0 +18069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.49611567,-9.381945713,0,0 +18070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.43703778,-9.808787505,0,0 +18071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.3005496,-9.490986011,0,0 +18072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.25669555,-9.688697681,0,0 +18073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.12436455,-8.762155299,0,0 +18074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.2474359,-9.404491197,0,0 +18076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.24411247,-9.352418488,0,0 +18077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.38490749,-9.656736201,0,0 +18075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.28735437,-9.729522055,0,0 +18078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.17695793,-9.245048399,0,0 +18080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.66372098,-9.499704209,0,0 +18079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.26759229,-9.431343781,0,0 +18082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.44543631,-9.903903856,0,0 +18084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.73779217,-9.754143996,0,0 +18083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.00407166,-9.478722818,0,0 +18085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.68062364,-9.657609044,0,0 +18081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.01049251,-8.850149945,0,0 +18086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.29231108,-9.456149517,0,0 +18087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.44682088,-9.469754292,0,0 +18088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.02482018,-9.68886208,0,0 +18089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.2202871,-9.775496821,0,0 +18090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.32613767,-9.216289562,0,0 +18091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.21703332,-9.138687524,0,0 +18092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.38813398,-9.352069544,0,0 +18093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.13323459,-9.605015759,0,0 +18094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.60256955,-9.48627318,0,0 +18095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.20309653,-9.22470503,0,0 +18096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.44736929,-9.261090186,0,0 +18097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.993659006,-9.219766111,0,0 +18098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.72090992,-9.950500902,0,0 +18099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.48877274,-9.371107946,0,0 +18100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.51040129,-9.196517002,0,0 +18102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.24065781,-9.440305171,0,0 +18103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.60226307,-10.08007097,0,0 +18101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.75364659,-9.673721247,0,0 +18104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.39827505,-8.918856212,0,0 +18105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.50244611,-9.630612058,0,0 +18106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.74788755,-9.373122069,0,0 +18107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.31009725,-9.290777056,0,0 +18108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.55728527,-10.25072649,0,0 +18109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.73583768,-9.858468468,0,0 +18110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.0288696,-8.680571869,0,0 +18112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.53809458,-10.08204083,0,0 +18111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.27380674,-9.389797308,0,0 +18113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.2340217,-9.261043659,0,0 +18114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.46018182,-9.555287677,0,0 +18115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.29886677,-9.253822589,0,0 +18116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.58349622,-9.56519177,0,0 +18117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.54948125,-9.50300855,0,0 +18118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.22186971,-9.058095483,0,0 +18119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.25533391,-9.625613299,0,0 +18121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.999195908,-9.181185711,0,0 +18122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.04344554,-9.022530325,0,0 +18123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.76937283,-10.19684088,0,0 +18120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.7239497,-9.962008679,0,0 +18124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.923478035,-8.387653668,0,0 +18125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.11128788,-9.071252299,0,0 +18127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.43693414,-9.457690647,0,0 +18126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.24994554,-9.514777843,0,0 +18128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.83589369,-9.630271097,0,0 +18129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.70077993,-9.796742053,0,0 +18130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.35088047,-9.6195647,0,0 +18132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.5492603,-9.341879503,0,0 +18131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.16924637,-8.966966993,0,0 +18133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.38468159,-9.246960122,0,0 +18134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.66082241,-9.42780123,0,0 +18135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.29272305,-9.42365991,0,0 +18137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.82782775,-9.493162191,0,0 +18138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.30962527,-9.271860297,0,0 +18136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.7085982,-10.33996654,0,0 +18139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.45128993,-9.855126367,0,0 +18141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.24153974,-9.869931884,0,0 +18140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.23908837,-9.05219777,0,0 +18143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.18598311,-9.356314999,0,0 +18142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.70758485,-9.715644878,0,0 +18144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.4362967,-10.00439124,0,0 +18145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.42107257,-9.53070074,0,0 +18146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.47079829,-9.415802809,0,0 +18147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.0659024,-9.194894576,0,0 +18148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.004674,-9.660950239,0,0 +18151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.06419228,-8.717510301,0,0 +18150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.48128339,-10.1429262,0,0 +18149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.30542386,-9.053332683,0,0 +18153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.71125168,-9.525816214,0,0 +18152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.75622437,-9.806862654,0,0 +18154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.36580955,-9.181029749,0,0 +18155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.47017617,-9.483495948,0,0 +18156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.38536388,-9.297841259,0,0 +18157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.01196763,-8.846584747,0,0 +18158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.03788649,-9.180552024,0,0 +18160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.957804418,-8.983314541,0,0 +18161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.76573388,-9.816625728,0,0 +18159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.871235389,-8.62725122,0,0 +18162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.922601139,-9.120014476,0,0 +18163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.48481377,-9.490806999,0,0 +18164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.27907585,-9.781877353,0,0 +18165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.35683248,-9.213501734,0,0 +18166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.47039274,-9.696088229,0,0 +18167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.06916705,-9.319466458,0,0 +18168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.24823116,-9.046657158,0,0 +18169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.09466882,-8.936261943,0,0 +18170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.09725053,-9.202149055,0,0 +18171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.1051617,-9.153523363,0,0 +18172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.35924439,-9.452702843,0,0 +18173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.51548533,-9.845881334,0,0 +18174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.01555559,-9.093236851,0,0 +18175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.9306776,-9.080443718,0,0 +18176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.14856898,-9.185589843,0,0 +18178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.61429037,-9.474764452,0,0 +18179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.19151456,-9.880647049,0,0 +18177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.59494337,-9.449684894,0,0 +18180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.46965008,-9.358192936,0,0 +18181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.10098998,-8.730201761,0,0 +18182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.48338673,-9.69026679,0,0 +18183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.53455549,-9.263660971,0,0 +18184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.41630378,-9.460880113,0,0 +18185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.65405412,-9.651217503,0,0 +18188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.653247,-9.745997962,0,0 +18186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.60602263,-9.697276804,0,0 +18187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.01328276,-9.283899715,0,0 +18189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.12027442,-9.053618132,0,0 +18190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.55503308,-9.319354446,0,0 +18192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.960912914,-8.584677807,0,0 +18191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.37891954,-9.489618766,0,0 +18193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.60057645,-10.22051,0,0 +18194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.19244709,-9.567079872,0,0 +18195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.19550126,-9.391793368,0,0 +18197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.39717447,-9.263498901,0,0 +18196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.16080264,-9.372793316,0,0 +18198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.58591889,-9.410251863,0,0 +18199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.34991742,-9.480797791,0,0 +18200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.20657248,-9.352736771,0,0 +18201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.01989132,-9.715077306,0,0 +18202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.38437781,-9.240461338,0,0 +18203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.56257704,-9.458546961,0,0 +18204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.06659723,-8.603029142,0,0 +18206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.18348549,-9.380587008,0,0 +18205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.41735467,-9.515535248,0,0 +18207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.32457307,-9.536872152,0,0 +18208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.67247141,-9.52329318,0,0 +18209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.25895695,-9.574763446,0,0 +18210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.70574028,-9.819589926,0,0 +18211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.13548443,-9.550651031,0,0 +18212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.63383217,-9.518627792,0,0 +18213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.48377552,-9.169204464,0,0 +18215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.78306707,-10.1445991,0,0 +18214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.28409402,-9.246924829,0,0 +18216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.30838666,-9.372802071,0,0 +18217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.78405418,-10.17608543,0,0 +18218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.79586341,-10.30607901,0,0 +18219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.48750147,-9.516692854,0,0 +18220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.969107116,-8.876509556,0,0 +18221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.907472197,-8.535609388,0,0 +18222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.60720671,-9.948020206,0,0 +18223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.64505133,-9.883000818,0,0 +18224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.73483071,-9.901786235,0,0 +18225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.64873226,-9.713793723,0,0 +18226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.18323055,-9.374565241,0,0 +18227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.24936739,-9.148785079,0,0 +18228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.53826995,-9.43148509,0,0 +18229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.16173411,-8.539861443,0,0 +18230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.67925101,-9.871459064,0,0 +18232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.47428237,-9.335596858,0,0 +18233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.09263606,-8.66963045,0,0 +18231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.21103695,-9.637419205,0,0 +18234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.24067296,-8.861212769,0,0 +18235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.75539176,-9.364358269,0,0 +18236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.50738509,-9.33016196,0,0 +18237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.328099,-9.503668655,0,0 +18238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.39956847,-10.02087865,0,0 +18239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.33451069,-9.281110793,0,0 +18240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.296687,-9.375148638,0,0 +18241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.62416254,-9.982801831,0,0 +18242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.23268249,-9.280241196,0,0 +18243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.13520229,-8.915375322,0,0 +18244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.36870206,-9.277663749,0,0 +18246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.53874268,-10.18258978,0,0 +18245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.40220923,-9.397849657,0,0 +18247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.62146594,-9.492634611,0,0 +18248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.61950965,-9.680974021,0,0 +18249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.43883914,-9.846195364,0,0 +18250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.26099715,-8.816110342,0,0 +18252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.02474413,-8.97947163,0,0 +18251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.67964042,-10.05920597,0,0 +18254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.31013191,-9.799657066,0,0 +18253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.14305068,-9.333954907,0,0 +18255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.4848509,-9.655922399,0,0 +18256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.0208372,-9.327902224,0,0 +18257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.69711644,-9.440673668,0,0 +18258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.79598462,-10.04626588,0,0 +18259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.06636604,-9.676887348,0,0 +18261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.79081637,-9.423688166,0,0 +18262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.24601,-9.066682743,0,0 +18260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.48608776,-9.76306521,0,0 +18263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.66251793,-10.04428142,0,0 +18264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.76195489,-9.883436704,0,0 +18265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.13912222,-8.798736599,0,0 +18266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.21439164,-9.49158898,0,0 +18267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.996995348,-9.039560694,0,0 +18268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.17572012,-9.821419159,0,0 +18269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.56190412,-9.83307887,0,0 +18271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.22447718,-8.514969254,0,0 +18272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.71100037,-9.849935524,0,0 +18273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.86093166,-9.831334495,0,0 +18274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.03166662,-9.319902759,0,0 +18270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.71761136,-9.687890643,0,0 +18275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.878262293,-8.958269119,0,0 +18276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.54870203,-9.930454305,0,0 +18277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.00397576,-9.189948898,0,0 +18278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.70656371,-9.819888136,0,0 +18279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.35413349,-9.902676387,0,0 +18281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.21756903,-8.952653824,0,0 +18282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.30713744,-9.470702841,0,0 +18280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.94312573,-9.011003976,0,0 +18283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.45499243,-9.497502194,0,0 +18285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.59785392,-9.029255471,0,0 +18284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.96950413,-9.029440471,0,0 +18286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.68056644,-10.07410203,0,0 +18287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.5293841,-9.676306819,0,0 +18288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.88183221,-9.608521435,0,0 +18290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.5420915,-10.01333253,0,0 +18291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.53834876,-9.50120878,0,0 +18292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.32142593,-9.218565848,0,0 +18289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.38373663,-9.35874224,0,0 +18293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.1223638,-9.309127532,0,0 +18294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.02397177,-9.30196197,0,0 +18295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.59036058,-9.852194892,0,0 +18296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.3065819,-9.871778258,0,0 +18297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.74086151,-9.863959434,0,0 +18298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.30700886,-9.659072878,0,0 +18299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.07133258,-8.991458056,0,0 +18300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.1335618,-9.130200681,0,0 +18301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.20798763,-9.131141342,0,0 +18302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.76221703,-9.632792058,0,0 +18303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.08638453,-8.859508542,0,0 +18304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.17880803,-9.537612081,0,0 +18305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.48788434,-9.287675147,0,0 +18306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.35600198,-9.429793859,0,0 +18307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.45603301,-9.279275353,0,0 +18309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.24809699,-9.530384969,0,0 +18310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.976669089,-9.613875566,0,0 +18311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.29675885,-9.220502924,0,0 +18312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.5262623,-9.814419998,0,0 +18308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.18212724,-9.742872369,0,0 +18314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.52891639,-9.939150273,0,0 +18313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.2970964,-9.999528068,0,0 +18315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.22261548,-9.77289088,0,0 +18316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.62487269,-9.516585642,0,0 +18317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.13850512,-9.389570649,0,0 +18318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.22899082,-9.816131671,0,0 +18319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.21411348,-9.134543258,0,0 +18320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.32512306,-9.449337158,0,0 +18322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.59877916,-9.312308309,0,0 +18321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.31885447,-9.496195984,0,0 +18323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.23818766,-8.66433748,0,0 +18325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.12769528,-9.17504385,0,0 +18324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.71441606,-9.646348829,0,0 +18326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.01270712,-9.258467509,0,0 +18327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.48870343,-9.372874428,0,0 +18330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.70828748,-9.622011028,0,0 +18329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.76355678,-9.704731755,0,0 +18331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.64009967,-10.09925267,0,0 +18328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.894803415,-8.870339602,0,0 +18333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.23434816,-9.418370054,0,0 +18332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.67960631,-9.429155271,0,0 +18334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.36367696,-9.031548425,0,0 +18335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.04078352,-9.586393934,0,0 +18337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.05394576,-9.343140018,0,0 +18336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.7781661,-9.842821001,0,0 +18338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.34867664,-9.654832457,0,0 +18340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.85797986,-9.740623695,0,0 +18341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.79559946,-9.515448852,0,0 +18339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.43818184,-9.560515627,0,0 +18342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.07556546,-9.240735276,0,0 +18343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.44714034,-9.675786475,0,0 +18344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.61577896,-9.660444638,0,0 +18345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.37395667,-9.530556439,0,0 +18346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.04323206,-9.214440599,0,0 +18347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.945984516,-9.247250788,0,0 +18348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.47138396,-10.05867553,0,0 +18350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.3670794,-9.547976651,0,0 +18351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.43641965,-9.607480559,0,0 +18349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.67612992,-9.478633447,0,0 +18352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.63282724,-9.833946648,0,0 +18353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.43708674,-9.958093933,0,0 +18354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.22363518,-9.610578386,0,0 +18355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.0817646,-9.540585645,0,0 +18356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.17003001,-9.227165735,0,0 +18357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.33264012,-9.284733557,0,0 +18358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.44905387,-8.858938892,0,0 +18360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.39929627,-9.122601268,0,0 +18361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.27576851,-9.433146555,0,0 +18359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.74412766,-9.155910816,0,0 +18362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.44225193,-9.290845152,0,0 +18364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.11222424,-9.040089145,0,0 +18363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.40482633,-9.564172293,0,0 +18366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.73929716,-9.459930275,0,0 +18365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.58565446,-10.00985215,0,0 +18367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.60156382,-9.080166526,0,0 +18368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.157887,-9.37546628,0,0 +18370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.61646397,-9.657209648,0,0 +18371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.34394179,-9.022834039,0,0 +18369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.72642337,-9.875761497,0,0 +18372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.41121307,-8.950610608,0,0 +18373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.49844032,-9.643908815,0,0 +18374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.19834325,-8.837246982,0,0 +18375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.3131375,-9.478244846,0,0 +18377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.18690911,-9.680874832,0,0 +18376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.38633593,-9.236754082,0,0 +18378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.65070923,-9.931139504,0,0 +18380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.278473,-9.53774375,0,0 +18379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.33615465,-9.368683229,0,0 +18381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.39624303,-9.036735869,0,0 +18382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.1022873,-8.903653609,0,0 +18383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.45307679,-9.09701696,0,0 +18384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.72105928,-10.15968418,0,0 +18385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.928465875,-9.096224392,0,0 +18386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.56450171,-10.0100107,0,0 +18387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.6024595,-9.525460004,0,0 +18389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.27101071,-9.51974482,0,0 +18390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.10874394,-9.0741596,0,0 +18388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.61409374,-9.980400996,0,0 +18391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.75030505,-9.93896607,0,0 +18392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.77835777,-9.858134123,0,0 +18393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.17489125,-9.450890309,0,0 +18394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.0605774,-9.099850531,0,0 +18395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.47771213,-9.870051552,0,0 +18397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.64036031,-9.683092041,0,0 +18396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.52810649,-10.03253857,0,0 +18398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.14189621,-9.727373571,0,0 +18399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.38820278,-9.343760756,0,0 +18400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.28996105,-8.949476778,0,0 +18401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.18873534,-9.17441087,0,0 +18402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.33621639,-9.314437271,0,0 +18403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.44635771,-9.825294348,0,0 +18404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.78305663,-9.050249504,0,0 +18405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.03061347,-9.3844707,0,0 +18407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.10132532,-9.098531618,0,0 +18408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.41422387,-9.629296149,0,0 +18409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.33697102,-8.944634338,0,0 +18406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.80879438,-9.943465789,0,0 +18410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.41971205,-9.161171741,0,0 +18411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.17024115,-9.191407865,0,0 +18412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.62545626,-9.75978505,0,0 +18413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.34751413,-9.549181752,0,0 +18415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.63144845,-9.957461998,0,0 +18414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.2858033,-9.288794831,0,0 +18416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.11429079,-9.107547307,0,0 +18417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.16924184,-9.213262371,0,0 +18418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.2911152,-9.330248265,0,0 +18419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.75914193,-9.95573171,0,0 +18421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.997454704,-9.536371817,0,0 +18420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.49969192,-9.868999908,0,0 +18423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.55026635,-9.87213341,0,0 +18422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.29265761,-9.537779161,0,0 +18424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.25763636,-9.480149471,0,0 +18426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.31667239,-9.411695302,0,0 +18425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.984006668,-9.056000701,0,0 +18427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.32964972,-9.102040334,0,0 +18428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.42765526,-9.849634778,0,0 +18429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.10968519,-9.154666468,0,0 +18431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.54759232,-9.523661297,0,0 +18430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.33517892,-9.927790551,0,0 +18432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.39965336,-9.490028057,0,0 +18433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.30730499,-9.013893242,0,0 +18435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.71795076,-9.053467131,0,0 +18434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.43379821,-9.502560467,0,0 +18436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.0986114,-8.938315827,0,0 +18437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.06773852,-9.052738377,0,0 +18438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.4392006,-9.499154452,0,0 +18439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.36967985,-9.589989057,0,0 +18440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.31221505,-9.548208273,0,0 +18441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.24267523,-9.288279228,0,0 +18442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.49677373,-9.55355269,0,0 +18444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.62511739,-9.797057389,0,0 +18445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.15667262,-9.325687131,0,0 +18443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.68948377,-9.599607899,0,0 +18446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.4850653,-9.589005731,0,0 +18447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.36065305,-9.789844133,0,0 +18448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.905315731,-9.361873103,0,0 +18449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.30919088,-9.499640337,0,0 +18450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.40548811,-8.732210357,0,0 +18452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.43041387,-9.531296834,0,0 +18451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.17010415,-9.821133062,0,0 +18454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.46875776,-9.698457065,0,0 +18455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.16939325,-9.175515741,0,0 +18456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.14897032,-9.287487659,0,0 +18457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.05271573,-8.946736803,0,0 +18453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.17894387,-9.653120457,0,0 +18458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.00856964,-9.293609841,0,0 +18459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.76414715,-9.786817627,0,0 +18460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.39976367,-9.883154762,0,0 +18461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.45232756,-9.202758318,0,0 +18463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.23757919,-9.54970107,0,0 +18462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.5195828,-9.601895272,0,0 +18464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.26906493,-9.151703597,0,0 +18466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.0659862,-9.481487302,0,0 +18465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.42497249,-9.728279219,0,0 +18467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.69960352,-9.031985212,0,0 +18468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.14999287,-9.237967832,0,0 +18470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.77371169,-9.481496952,0,0 +18469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.54087169,-9.475507415,0,0 +18471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.01191211,-9.302101429,0,0 +18472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.47177015,-9.57859282,0,0 +18473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.10346777,-8.995841483,0,0 +18474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.71207562,-10.06595386,0,0 +18476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.07750634,-8.945679066,0,0 +18475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.74691199,-9.64686474,0,0 +18477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.69963347,-10.01534938,0,0 +18479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.0564692,-9.294246284,0,0 +18478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.18303791,-9.400917797,0,0 +18480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.97596048,-8.93889271,0,0 +18481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.71552987,-9.745811362,0,0 +18483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.76944776,-10.24708721,0,0 +18484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.26842002,-9.035631785,0,0 +18482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.11066477,-9.47423033,0,0 +18485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.945220267,-8.152215988,0,0 +18487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.00756844,-8.73414948,0,0 +18486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.13366505,-9.233003398,0,0 +18488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.23361073,-9.638446216,0,0 +18489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.27788964,-9.325667163,0,0 +18490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.5064033,-9.908251586,0,0 +18491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.43579617,-9.206032187,0,0 +18492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.12266224,-9.027024504,0,0 +18493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.81839799,-9.211992442,0,0 +18495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.57089653,-9.049870868,0,0 +18496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.9177347,-9.136662597,0,0 +18494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.49892096,-9.202789463,0,0 +18497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.37056468,-9.305975213,0,0 +18499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.75158244,-9.55070506,0,0 +18498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.8673574,-9.957254845,0,0 +18501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.1887249,-9.104786982,0,0 +18503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.42288252,-9.521355201,0,0 +18502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.34170126,-9.82837543,0,0 +18504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.14111499,-8.972309888,0,0 +18500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.69195507,-9.943960643,0,0 +18505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.34765264,-9.603557275,0,0 +18506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.33662795,-9.256528785,0,0 +18507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.14030702,-9.17377334,0,0 +18508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.79222027,-10.09384312,0,0 +18510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.61397135,-9.403243942,0,0 +18511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.49627642,-9.448549106,0,0 +18509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.35556604,-8.980775844,0,0 +18512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.51500391,-9.720985053,0,0 +18513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.38829383,-9.677123991,0,0 +18514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.07752975,-9.490276781,0,0 +18515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.38510873,-9.6506413,0,0 +18516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.25671533,-9.645981568,0,0 +18519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.7479907,-9.72503409,0,0 +18518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.6934538,-9.54346195,0,0 +18517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.59335611,-9.49426692,0,0 +18520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.38428282,-9.357185728,0,0 +18521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.08608649,-9.288124453,0,0 +18522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.21831211,-8.929257517,0,0 +18523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.66629079,-9.697644052,0,0 +18524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.69669534,-9.736975559,0,0 +18526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.61879686,-9.497082633,0,0 +18525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.39043983,-9.397316428,0,0 +18527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.968226394,-9.322867351,0,0 +18528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.68135695,-9.77968653,0,0 +18529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.66390372,-10.1946528,0,0 +18530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.74391628,-10.12251589,0,0 +18531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.58181943,-9.653564556,0,0 +18532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.03850421,-9.27462099,0,0 +18534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.02533797,-9.312750086,0,0 +18533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.13720197,-9.321167947,0,0 +18535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.59864101,-9.880737823,0,0 +18536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.1184692,-9.043086498,0,0 +18537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.17557905,-8.838553626,0,0 +18538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.26161407,-9.58606438,0,0 +18540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.48319256,-9.487651695,0,0 +18541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.77939048,-9.977728445,0,0 +18543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.39251587,-9.202920367,0,0 +18542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.62181127,-9.193855978,0,0 +18539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.47761819,-9.547959508,0,0 +18544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.21212264,-9.20183326,0,0 +18545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.21681485,-9.269632167,0,0 +18547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.21640266,-9.085868475,0,0 +18546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.21335577,-9.488807999,0,0 +18548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.10822408,-9.268498085,0,0 +18549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.00699572,-8.952435622,0,0 +18550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.60704218,-9.93084085,0,0 +18551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.20625132,-8.666012413,0,0 +18553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.51983541,-9.367714186,0,0 +18552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.06487735,-9.422052074,0,0 +18555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.4900784,-9.548764559,0,0 +18554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.49290946,-9.91767293,0,0 +18556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.69981195,-10.5064518,0,0 +18557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.57485205,-9.67772349,0,0 +18558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.46863692,-9.203887161,0,0 +18559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.36380225,-9.671478691,0,0 +18562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.22243396,-9.313381466,0,0 +18560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.49559657,-9.331503659,0,0 +18563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.12928042,-8.891936029,0,0 +18565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.963979397,-9.16764147,0,0 +18564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.0825715,-9.235050454,0,0 +18566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.03558989,-9.000195683,0,0 +18567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.71745547,-9.69779167,0,0 +18561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.45985314,-9.60635328,0,0 +18570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.38693311,-9.667970966,0,0 +18569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.63611472,-10.02165297,0,0 +18568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.955862325,-8.870569939,0,0 +18571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.50875773,-9.624319312,0,0 +18573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.17142694,-9.232065649,0,0 +18572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.22296057,-9.161505822,0,0 +18574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.19531614,-9.565556012,0,0 +18575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.00182678,-9.225797453,0,0 +18576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.08810764,-9.027696392,0,0 +18577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.66355379,-9.755355578,0,0 +18579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.19351605,-9.282045741,0,0 +18578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.946896417,-9.271693764,0,0 +18581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.54517238,-9.587189685,0,0 +18580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.34703945,-9.627662867,0,0 +18582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.38593016,-9.51400954,0,0 +18584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.63548521,-9.603717126,0,0 +18585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.20890731,-9.398798512,0,0 +18586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.66683513,-9.409877727,0,0 +18587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.42512829,-9.285049734,0,0 +18588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.39090912,-9.190139061,0,0 +18589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.66801988,-9.602998741,0,0 +18583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.73648837,-9.773134621,0,0 +18590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.14098401,-9.43971598,0,0 +18591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.05589835,-9.367494189,0,0 +18592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.66077351,-10.10534907,0,0 +18594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.49863413,-9.67135298,0,0 +18593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.07580908,-8.755200711,0,0 +18595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.41453733,-9.701539089,0,0 +18596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.41645533,-9.296897729,0,0 +18598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.42369079,-9.268014163,0,0 +18599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.6192431,-10.05389214,0,0 +18597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.38643382,-9.494111227,0,0 +18600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.56700308,-9.224685927,0,0 +18602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.15819653,-9.22642565,0,0 +18603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.335177,-9.749118893,0,0 +18604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.24788649,-9.124607139,0,0 +18605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.43757979,-9.524466781,0,0 +18601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.66392028,-9.458071638,0,0 +18606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.70610853,-9.718400681,0,0 +18608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.74359914,-9.744088896,0,0 +18607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.74400354,-10.01000742,0,0 +18609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.25316561,-9.149700601,0,0 +18610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.61325257,-9.633254306,0,0 +18611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.36749805,-9.637457717,0,0 +18613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.0579176,-9.991002914,0,0 +18612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.00021046,-8.885746086,0,0 +18614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.34956924,-9.415479275,0,0 +18617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.05197058,-8.996720664,0,0 +18618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.46951811,-9.474452986,0,0 +18619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.47040093,-9.190759839,0,0 +18615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.6942922,-9.893666907,0,0 +18621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.15842949,-9.016903048,0,0 +18616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.967239882,-8.989825464,0,0 +18622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.35669588,-9.678895515,0,0 +18620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.24027796,-8.94896723,0,0 +18623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.2184849,-9.504583283,0,0 +18624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.2907293,-8.915439857,0,0 +18625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.75339885,-10.19769376,0,0 +18626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.67973759,-9.463073466,0,0 +18629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.911204249,-9.020786814,0,0 +18627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.68005077,-9.771156802,0,0 +18630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.75220877,-9.943646529,0,0 +18628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.75996598,-9.827641211,0,0 +18631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.34126333,-9.766014116,0,0 +18632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.69824339,-9.676697836,0,0 +18634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.25866692,-9.714491616,0,0 +18633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.61488683,-9.93380122,0,0 +18636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.64994602,-9.536029188,0,0 +18635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.04154774,-9.398226988,0,0 +18637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.72573274,-9.550907055,0,0 +18638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.50583535,-9.466931808,0,0 +18639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.58275443,-9.68406933,0,0 +18640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.23880423,-9.417994875,0,0 +18641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.0744763,-8.895153797,0,0 +18642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.908920138,-9.063640272,0,0 +18643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.65436111,-9.965632103,0,0 +18644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.73034552,-10.00103971,0,0 +18645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.68204969,-9.873057477,0,0 +18647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.72002123,-9.827277693,0,0 +18646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.26787703,-9.31523922,0,0 +18648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.02885041,-9.643966004,0,0 +18649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.05774668,-8.697059388,0,0 +18650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.33342964,-9.773934342,0,0 +18652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.25914574,-9.790145463,0,0 +18653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.76670368,-9.285377056,0,0 +18651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.977787935,-8.869326463,0,0 +18654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.58179862,-9.710608091,0,0 +18656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.56889698,-9.578729828,0,0 +18658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.59154859,-9.626302716,0,0 +18659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.65295007,-9.607662872,0,0 +18657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.37668721,-9.335854286,0,0 +18655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.45516853,-9.684448259,0,0 +18661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.20460258,-8.878786446,0,0 +18662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.71371759,-9.646244601,0,0 +18660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.50053253,-9.258284852,0,0 +18663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.60113631,-9.319078478,0,0 +18664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.951593593,-8.864805835,0,0 +18665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.49216184,-9.442494534,0,0 +18666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.62925464,-9.95836514,0,0 +18669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.40424475,-9.335549707,0,0 +18667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.27378995,-9.562987934,0,0 +18668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.5221995,-9.291445168,0,0 +18670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.25241167,-9.813556069,0,0 +18671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.00318443,-9.515614135,0,0 +18673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.35206243,-9.010056194,0,0 +18672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.79980305,-9.882660597,0,0 +18674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.13590713,-8.892033402,0,0 +18677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.16114539,-9.713168502,0,0 +18675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.48056374,-9.731571112,0,0 +18678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.57784063,-9.570765803,0,0 +18679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.2512425,-8.826946735,0,0 +18676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.46797267,-9.368462087,0,0 +18680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.58965283,-9.706419374,0,0 +18681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.08600998,-8.655116809,0,0 +18682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.59613424,-9.900021839,0,0 +18684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.32360572,-9.6350732,0,0 +18683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.15130176,-9.271745822,0,0 +18686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.67838719,-9.877089844,0,0 +18685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.24797419,-9.494648469,0,0 +18687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.11029536,-9.294925954,0,0 +18689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.77540887,-10.05179396,0,0 +18688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.48137715,-9.231796793,0,0 +18690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.18238249,-9.119652972,0,0 +18693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.950986271,-9.806962291,0,0 +18692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.51025501,-9.844988214,0,0 +18691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.17379008,-8.942539463,0,0 +18694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.45032666,-9.660897314,0,0 +18695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.12389716,-9.61084606,0,0 +18697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.54991789,-9.310796462,0,0 +18696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.88812358,-10.03398281,0,0 +18698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.42040079,-8.997866762,0,0 +18699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.64472844,-10.09757838,0,0 +18700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.42259227,-9.52753205,0,0 +18701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.44785277,-9.684265155,0,0 +18702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.75283156,-9.799458251,0,0 +18703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.975558275,-9.450305442,0,0 +18704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.44764769,-9.325758362,0,0 +18706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.12795714,-9.67921105,0,0 +18705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.22419478,-9.315386385,0,0 +18707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.15452084,-9.178073598,0,0 +18708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.977632859,-9.122473038,0,0 +18709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.45112861,-9.738842467,0,0 +18710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.948132898,-9.239635901,0,0 +18711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.7670865,-9.724651155,0,0 +18712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.65392931,-9.670416273,0,0 +18716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.44223312,-9.290375397,0,0 +18714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.67265121,-9.238576333,0,0 +18717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.2435205,-9.168873912,0,0 +18713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.28909149,-9.410623009,0,0 +18715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.29079599,-9.539279228,0,0 +18718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.18607511,-9.341497422,0,0 +18720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.72502934,-9.522019701,0,0 +18722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.58142572,-9.469549766,0,0 +18719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.36628203,-9.452700541,0,0 +18723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.46136517,-9.110422841,0,0 +18724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.1726501,-9.218629983,0,0 +18721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.07352638,-9.043196275,0,0 +18725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.46661672,-9.833212041,0,0 +18726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.44047371,-9.534516116,0,0 +18727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.69640053,-10.12158542,0,0 +18730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.32615456,-9.067248147,0,0 +18728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.81262067,-9.32277552,0,0 +18732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.09587845,-8.982294908,0,0 +18733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.19145203,-9.245539296,0,0 +18731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.67712469,-9.102164891,0,0 +18729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.6501823,-9.675349146,0,0 +18734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.57485035,-9.649792511,0,0 +18735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.17655792,-9.252114087,0,0 +18736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.61118673,-9.557732734,0,0 +18737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.23246026,-9.134687285,0,0 +18739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.5956704,-9.473047355,0,0 +18740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.29978023,-9.714101154,0,0 +18741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.7110727,-9.95473167,0,0 +18738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.971907843,-9.226855605,0,0 +18742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.05625325,-9.669487977,0,0 +18743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.976307259,-9.248020925,0,0 +18745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.47575317,-9.546844424,0,0 +18746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.77356712,-9.958899721,0,0 +18744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.72481463,-9.634171986,0,0 +18749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.23691317,-9.154564411,0,0 +18747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.13462963,-8.931368751,0,0 +18750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.53588433,-9.473525634,0,0 +18748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.4646559,-10.12708038,0,0 +18751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.64472678,-9.736645887,0,0 +18752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.41416818,-9.736337846,0,0 +18753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.57322273,-9.537196152,0,0 +18754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.42763978,-9.387274972,0,0 +18755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.41447825,-9.59707923,0,0 +18756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.08868328,-9.25347463,0,0 +18758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.43879132,-9.002082475,0,0 +18757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.34197209,-9.855762358,0,0 +18761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.38318053,-9.470325397,0,0 +18759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.12707408,-9.493638866,0,0 +18762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.13369221,-8.859962239,0,0 +18760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.6049044,-9.564937086,0,0 +18765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.15209285,-10.01368185,0,0 +18766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.44358434,-9.326861392,0,0 +18763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.0275937,-8.786681837,0,0 +18764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.75383913,-9.55491504,0,0 +18767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.81502298,-9.534255645,0,0 +18769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.31053498,-9.159347812,0,0 +18768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.987156144,-8.832191642,0,0 +18770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.63267368,-9.801908582,0,0 +18772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.49469916,-9.803727616,0,0 +18773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.07852862,-9.042068584,0,0 +18771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.4772084,-9.718567793,0,0 +18774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.40935533,-9.478328469,0,0 +18775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.61311353,-10.05407548,0,0 +18776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.68182516,-10.25825476,0,0 +18778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.03685843,-9.645373241,0,0 +18779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.13397071,-9.218274808,0,0 +18781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.45411055,-9.605462497,0,0 +18782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.71469823,-9.162863421,0,0 +18777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.66892288,-9.53188441,0,0 +18780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.21006006,-8.79263214,0,0 +18784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.81001255,-9.471889263,0,0 +18785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.30906212,-9.174508318,0,0 +18783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.04875813,-9.420546498,0,0 +18786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.86481161,-9.887882477,0,0 +18788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.38479719,-9.354153693,0,0 +18787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.34230595,-9.157314644,0,0 +18789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.09276916,-8.729716636,0,0 +18790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.57820334,-9.750728196,0,0 +18791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.10645361,-9.284298525,0,0 +18792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.46110965,-9.536237364,0,0 +18793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.909229376,-9.08508612,0,0 +18794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.14879816,-9.142629407,0,0 +18796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.37311439,-9.333319479,0,0 +18795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.05967288,-9.532426184,0,0 +18797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.58448757,-9.213648443,0,0 +18799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.07265275,-9.466149989,0,0 +18800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.20768612,-9.383194559,0,0 +18798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.59391385,-10.04436064,0,0 +18801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.35874568,-9.025874891,0,0 +18802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.28184781,-9.216497761,0,0 +18803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.936500473,-8.651604682,0,0 +18804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.54628011,-9.667591841,0,0 +18806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.29754935,-9.682445837,0,0 +18805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.5055401,-9.402728348,0,0 +18808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.73480361,-9.873821061,0,0 +18807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.06542656,-9.008778445,0,0 +18809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.76167739,-9.7976483,0,0 +18810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.958815066,-8.58183023,0,0 +18811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.26891173,-9.594169717,0,0 +18812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.21447869,-9.55890979,0,0 +18813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.864951937,-8.760258181,0,0 +18816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.59750947,-9.778679585,0,0 +18815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.94754438,-8.900574407,0,0 +18817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.8634438,-9.984499265,0,0 +18818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.30594522,-9.254440499,0,0 +18814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.03050784,-9.381839501,0,0 +18819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.955871231,-8.968370377,0,0 +18821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.61152309,-9.662437749,0,0 +18822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.16643581,-9.545258502,0,0 +18820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.1680965,-8.994928781,0,0 +18823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.14076592,-9.705623845,0,0 +18824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.34796915,-9.474123881,0,0 +18825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.06860324,-8.828022916,0,0 +18826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.5972968,-9.923329136,0,0 +18827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.07862983,-9.197844815,0,0 +18828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.68836063,-9.391313205,0,0 +18830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.25712268,-9.250850625,0,0 +18831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.947106529,-9.336030516,0,0 +18832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.01462216,-8.933353033,0,0 +18833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.50132824,-9.435642421,0,0 +18829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.16586876,-9.164495385,0,0 +18835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.43072456,-10.19491884,0,0 +18834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.53134553,-9.400980694,0,0 +18836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.65586106,-9.250451376,0,0 +18838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.83473817,-10.31025105,0,0 +18839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.967604716,-8.588624318,0,0 +18837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.16563542,-9.19151237,0,0 +18840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.65089163,-9.870492845,0,0 +18841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.38021125,-8.845867769,0,0 +18842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.35737267,-8.996806496,0,0 +18843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.49490356,-9.882649033,0,0 +18844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.24589439,-8.848975383,0,0 +18845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.27427961,-9.161071148,0,0 +18846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.32874743,-9.262146596,0,0 +18847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.53982752,-10.09157451,0,0 +18848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.46295413,-9.730887944,0,0 +18849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.46215434,-9.238582936,0,0 +18850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.39110717,-9.100955458,0,0 +18852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.70265796,-9.570122574,0,0 +18851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.16428954,-9.231957522,0,0 +18853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.58349107,-9.555513213,0,0 +18854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.1281739,-8.401191897,0,0 +18855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.60153502,-9.444026937,0,0 +18857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.34508333,-9.258811526,0,0 +18858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.51613302,-9.802649409,0,0 +18856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.24385215,-9.407663477,0,0 +18859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.65771031,-9.901762514,0,0 +18860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.08999693,-9.261307804,0,0 +18861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.30895678,-9.262026806,0,0 +18862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.68940615,-9.877344828,0,0 +18863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.64582006,-9.67024352,0,0 +18864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.58867642,-9.562314458,0,0 +18865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.14446105,-9.693365225,0,0 +18866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.0831269,-9.298845971,0,0 +18867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.68296591,-9.944875122,0,0 +18868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.35109051,-9.055140928,0,0 +18869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.36884847,-9.339810608,0,0 +18872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.61499627,-9.651488065,0,0 +18871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.16719937,-9.275565984,0,0 +18874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.17555657,-9.055035672,0,0 +18875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.60059059,-10.07032174,0,0 +18870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.00865662,-9.217576034,0,0 +18873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.804106,-9.627232958,0,0 +18876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.45617505,-9.63372849,0,0 +18877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.76986786,-9.76276791,0,0 +18878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.1056266,-9.065042019,0,0 +18879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.76898909,-9.381068987,0,0 +18881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.33551732,-9.570849779,0,0 +18880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.08175507,-9.534685468,0,0 +18883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.14532168,-9.517643551,0,0 +18882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.18727014,-9.389685414,0,0 +18884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.24457744,-9.157830539,0,0 +18885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.66907771,-9.55156982,0,0 +18887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.59972913,-9.672224364,0,0 +18888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.76785949,-9.498477414,0,0 +18889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.43394293,-9.468980084,0,0 +18890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.80939093,-9.566522806,0,0 +18892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.17800702,-9.491058445,0,0 +18886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.7233663,-9.66762936,0,0 +18891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.61070115,-9.849840678,0,0 +18893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.5064085,-10.05763608,0,0 +18895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.938186089,-9.012285251,0,0 +18896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.17856748,-8.967970457,0,0 +18898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.34493599,-9.149168648,0,0 +18897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.36077016,-9.500554633,0,0 +18899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.73929404,-9.350039428,0,0 +18894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.1502284,-9.416650674,0,0 +18901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.04122698,-9.222300605,0,0 +18902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.15327779,-9.229152409,0,0 +18900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.35641264,-9.490140367,0,0 +18903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.61804415,-9.777316332,0,0 +18904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.75873126,-9.492801436,0,0 +18905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.67992377,-9.413307196,0,0 +18907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.06804819,-9.061686387,0,0 +18908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.51359874,-9.33706649,0,0 +18906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.03196496,-9.050846595,0,0 +18909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.62932331,-10.1781912,0,0 +18911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.10684104,-9.052826478,0,0 +18912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.73088554,-9.540068395,0,0 +18914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.73833591,-9.674695669,0,0 +18913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.63051215,-9.851000817,0,0 +18915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.30925935,-9.575674253,0,0 +18916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.62527362,-10.18218777,0,0 +18910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.84823524,-9.563029456,0,0 +18917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.937092618,-9.318402555,0,0 +18918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.46578993,-10.08983961,0,0 +18920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.43768245,-9.494052397,0,0 +18919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.60180042,-9.754603032,0,0 +18921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.12396792,-8.872526105,0,0 +18922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.03288847,-9.445134572,0,0 +18925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.0340741,-9.215296293,0,0 +18924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.991761079,-9.331651123,0,0 +18923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.52192287,-9.761602467,0,0 +18928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.60473589,-9.911797665,0,0 +18926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.33610381,-9.357181868,0,0 +18927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.35557589,-9.245156818,0,0 +18930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.13788813,-9.71763763,0,0 +18929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.5925131,-9.221113836,0,0 +18931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.16361567,-8.905602867,0,0 +18933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.61516626,-9.641052698,0,0 +18935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.11405248,-9.012317031,0,0 +18936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.21801261,-9.446894209,0,0 +18934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.08238745,-9.539074064,0,0 +18938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.26960051,-9.181038368,0,0 +18937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.71851033,-9.765057748,0,0 +18939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.1186847,-9.204804402,0,0 +18932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.46107796,-9.83392875,0,0 +18940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.10376002,-8.887390342,0,0 +18941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.62990043,-9.480533638,0,0 +18942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.51611247,-9.147932364,0,0 +18943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.50473723,-9.571395107,0,0 +18944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.39512553,-9.235524446,0,0 +18945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.05412381,-9.324656162,0,0 +18948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.61195191,-9.749078696,0,0 +18946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.20214515,-9.407739132,0,0 +18947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.979211208,-8.895988693,0,0 +18950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.57440752,-9.803263025,0,0 +18951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.17499738,-9.780032652,0,0 +18953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.6534907,-9.351916097,0,0 +18952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.68023062,-9.9357132,0,0 +18949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.36823663,-9.458115268,0,0 +18954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.16877185,-9.873583925,0,0 +18955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.67764992,-10.0386843,0,0 +18957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.936598668,-8.580275065,0,0 +18959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.3652044,-9.541915519,0,0 +18960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.1978615,-9.257196934,0,0 +18956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.27379195,-8.958361608,0,0 +18961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.65355773,-9.708076988,0,0 +18958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.42212857,-9.663246765,0,0 +18963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.3333133,-9.223616014,0,0 +18962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.40763342,-9.514555859,0,0 +18964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.51041486,-9.635862889,0,0 +18965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.63294752,-9.976178708,0,0 +18969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.09364601,-9.247282726,0,0 +18968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.1089059,-9.421452102,0,0 +18967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.3818519,-9.462528954,0,0 +18966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.64259738,-9.73283411,0,0 +18970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.38031939,-8.968794665,0,0 +18972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.27841555,-9.455946234,0,0 +18971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.41794778,-9.573474691,0,0 +18973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.24342632,-9.448123702,0,0 +18974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.1492418,-9.138078488,0,0 +18975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.46670794,-10.07133678,0,0 +18977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.5320749,-9.461874596,0,0 +18979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.11752611,-8.650694268,0,0 +18978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.21012421,-9.844540182,0,0 +18980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.05938847,-9.211246221,0,0 +18976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.2124957,-9.592852564,0,0 +18981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.17561965,-8.953084872,0,0 +18982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.58852972,-9.535168422,0,0 +18984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-9.986696335,-9.078546388,0,0 +18986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.18206301,-9.12260491,0,0 +18987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.30489795,-9.359410981,0,0 +18985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.36338916,-9.591095705,0,0 +18983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.71220975,-9.91693556,0,0 +18989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.49302656,-9.078929814,0,0 +18990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.29442595,-9.079851004,0,0 +18991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.3207557,-9.343916743,0,0 +18992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.01141199,-9.179112266,0,0 +18994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.75598528,-9.956761451,0,0 +18995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.62113618,-9.868979361,0,0 +18988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.4709806,-9.34476175,0,0 +18993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.01646514,-9.047455077,0,0 +18996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.1963781,-9.157749324,0,0 +18997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.40870633,-9.553952573,0,0 +18998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.51077663,-9.582986117,0,0 +19000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.19273081,-8.5878144,0,0 +18999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.9,10,1,-10.57641815,-9.996074928,0,0 +19001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.27689422,-9.81853659,0,0 +19002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.21366503,-9.623976848,0,0 +19003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.980694686,-9.379686024,0,0 +19004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.25452637,-9.994758278,0,0 +19005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.29039854,-9.70615018,0,0 +19006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.72418455,-10.23301908,0,0 +19007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.66236989,-10.2697155,0,0 +19010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.33783456,-9.762484805,0,0 +19012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.914486071,-9.5899471,0,0 +19009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.67679763,-10.25228181,0,0 +19011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.12520697,-9.547898617,0,0 +19008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.34719299,-9.784372819,0,0 +19015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.19861545,-9.744472111,0,0 +19016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.02634393,-9.695233411,0,0 +19013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.06892139,-9.662954154,0,0 +19014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.22670405,-9.787728432,0,0 +19018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.67395805,-10.05149007,0,0 +19017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.997199696,-9.557761447,0,0 +19019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.61759834,-10.01341404,0,0 +19020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.08027566,-9.782742412,0,0 +19022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.7075952,-10.11918159,0,0 +19023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.62663011,-10.14336864,0,0 +19024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.06569576,-9.545718308,0,0 +19021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.21935654,-9.763166021,0,0 +19026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.14965613,-9.54800888,0,0 +19027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.2535883,-9.743138885,0,0 +19025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.977958657,-9.634336257,0,0 +19028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.55857034,-10.13786549,0,0 +19029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.47947339,-9.782367589,0,0 +19031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.20913368,-9.61193411,0,0 +19032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.4582227,-9.92465702,0,0 +19030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.20734744,-9.639257357,0,0 +19033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.36717449,-9.914417311,0,0 +19036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.159977,-9.638519496,0,0 +19035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.32911395,-9.916566917,0,0 +19034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.69068842,-10.06166612,0,0 +19037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.81399063,-10.04411986,0,0 +19039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.81325564,-10.10554226,0,0 +19038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.50002608,-9.977726604,0,0 +19040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.80342653,-10.52787169,0,0 +19041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.6901044,-10.17903209,0,0 +19044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.61478228,-10.38213896,0,0 +19043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.32529908,-9.858248964,0,0 +19042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.09164783,-9.480622399,0,0 +19045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.62094819,-10.22182165,0,0 +19046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.48785072,-9.985111375,0,0 +19047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.29704792,-9.715039034,0,0 +19048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.24774179,-9.81747796,0,0 +19049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.46797892,-10.22765709,0,0 +19050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.4585657,-10.03520089,0,0 +19052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.28244666,-9.988767579,0,0 +19051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.18979102,-9.745529169,0,0 +19053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.29567462,-10.03380369,0,0 +19056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.50219628,-10.24931436,0,0 +19055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.30903772,-9.743541514,0,0 +19054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.85500456,-10.34133544,0,0 +19058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.67723616,-10.27981198,0,0 +19059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.6902883,-10.33279933,0,0 +19057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.788745,-10.40090252,0,0 +19060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.25122321,-9.753003934,0,0 +19061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.5004199,-10.17764555,0,0 +19062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.6271135,-10.24707464,0,0 +19063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.43013213,-9.898447311,0,0 +19064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.46607649,-9.852911267,0,0 +19065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.51185795,-9.982033822,0,0 +19067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.14133323,-9.736028959,0,0 +19066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.32469072,-9.619600286,0,0 +19068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.03000801,-9.48194731,0,0 +19069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.34859894,-9.917507612,0,0 +19072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.09713627,-9.577655903,0,0 +19071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.984649039,-9.696316209,0,0 +19070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.75636331,-10.46736436,0,0 +19073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.58923538,-10.06875924,0,0 +19074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.11117209,-9.811054576,0,0 +19075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.47772579,-10.13626128,0,0 +19076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.07356085,-9.76239527,0,0 +19077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.57406336,-10.12252556,0,0 +19078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.20113996,-9.638170426,0,0 +19081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.983209609,-9.700034328,0,0 +19079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.44482413,-9.901235593,0,0 +19082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.58907607,-10.19349399,0,0 +19080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.7493792,-10.28291933,0,0 +19083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.50974319,-10.28884714,0,0 +19084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.69641753,-10.07398004,0,0 +19086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.39031688,-9.726225663,0,0 +19085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.881312401,-9.468620861,0,0 +19088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.42371925,-9.889182757,0,0 +19089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.17724805,-9.72357651,0,0 +19087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.24485141,-9.703401032,0,0 +19091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.48166774,-9.927911147,0,0 +19090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.34539236,-9.808919863,0,0 +19092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.63384408,-10.24640826,0,0 +19094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.37252236,-9.940149193,0,0 +19095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.31701174,-9.915390348,0,0 +19096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.40555472,-10.04654891,0,0 +19093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.08590938,-9.675277734,0,0 +19097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.81512135,-10.51881243,0,0 +19099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.981675165,-9.307063731,0,0 +19100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.6418414,-10.36378173,0,0 +19098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.16918684,-9.696371831,0,0 +19101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.37592394,-9.71817852,0,0 +19102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.42136522,-10.17765104,0,0 +19104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.04940216,-9.543310525,0,0 +19103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.3115656,-9.727371354,0,0 +19105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.5680025,-9.953385816,0,0 +19107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.65328721,-10.29714623,0,0 +19108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.41221711,-10.08078995,0,0 +19106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.589199,-10.22971547,0,0 +19110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.71007995,-10.07864338,0,0 +19109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.30146441,-9.754108041,0,0 +19112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.59403161,-9.911624045,0,0 +19113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.22964843,-9.664348591,0,0 +19111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.953669296,-9.390333817,0,0 +19115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.28122598,-9.789579465,0,0 +19114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.07734335,-9.799008448,0,0 +19116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.11069731,-9.505697963,0,0 +19117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.60680073,-10.44812693,0,0 +19118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.25709762,-9.748452286,0,0 +19119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.1353603,-9.77679981,0,0 +19121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.7632387,-10.26465141,0,0 +19120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.82483186,-10.45467325,0,0 +19123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.39552918,-10.10821181,0,0 +19122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.46410538,-10.08458506,0,0 +19127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.58864797,-10.04778551,0,0 +19124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.19547433,-9.458939773,0,0 +19125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.43201638,-10.04265088,0,0 +19128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.02969074,-9.65766824,0,0 +19126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.48092257,-9.680141978,0,0 +19129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.74411554,-10.44620142,0,0 +19130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.64654202,-9.940056092,0,0 +19131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.64491709,-10.18419684,0,0 +19132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.56296985,-10.28637431,0,0 +19133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.49369616,-10.01745398,0,0 +19134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.6922899,-10.36267681,0,0 +19135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.16118573,-9.78212172,0,0 +19136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.52651099,-10.18747692,0,0 +19137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.2843431,-9.974230728,0,0 +19139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.01033414,-9.493332444,0,0 +19138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.8554165,-10.47536977,0,0 +19140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.44755473,-9.997804191,0,0 +19143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.64515855,-10.18436125,0,0 +19141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.66259438,-10.64763605,0,0 +19144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.63527407,-10.15260864,0,0 +19145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.71759915,-9.988576947,0,0 +19142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.24475903,-9.893132198,0,0 +19147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.22543435,-9.616808093,0,0 +19148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.46170201,-9.699066625,0,0 +19146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.00584347,-9.436160424,0,0 +19149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.53637245,-9.942274483,0,0 +19151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.05727875,-9.385849183,0,0 +19150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.20617177,-9.859742287,0,0 +19152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.58828102,-10.02869944,0,0 +19153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.14308373,-9.940472104,0,0 +19154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.984598018,-9.537383849,0,0 +19155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.48643616,-9.916059265,0,0 +19156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.33676911,-9.930420276,0,0 +19157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.67574023,-10.11931859,0,0 +19158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.31003883,-10.01133352,0,0 +19161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.30639285,-9.795777279,0,0 +19159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.27998479,-9.717608752,0,0 +19162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.28301723,-9.75775137,0,0 +19160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.02112158,-9.675851333,0,0 +19163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.36697803,-9.854442345,0,0 +19164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.54617572,-10.19460163,0,0 +19166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.22893488,-9.742181691,0,0 +19165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.35346844,-9.793066065,0,0 +19167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.23989098,-9.603151128,0,0 +19171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.49935476,-10.13158694,0,0 +19170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.31935925,-9.88048926,0,0 +19169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.57607418,-9.99106851,0,0 +19172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.4558853,-9.761130833,0,0 +19173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.22369012,-9.452078351,0,0 +19168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.81946027,-10.19371033,0,0 +19174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.64963229,-10.12096373,0,0 +19175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.07578079,-9.41425737,0,0 +19176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.20676926,-9.628209777,0,0 +19178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.31073995,-9.664072262,0,0 +19179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.80401001,-10.53142649,0,0 +19177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.73484577,-9.926787805,0,0 +19180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.77850026,-10.44598312,0,0 +19181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.74227547,-10.30632534,0,0 +19182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.21973596,-9.67102284,0,0 +19183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.72175813,-10.05860649,0,0 +19185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.25206057,-9.522752428,0,0 +19184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.67103156,-10.22624618,0,0 +19186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.40003713,-9.965915166,0,0 +19187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.28067524,-9.675446108,0,0 +19188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.24997572,-9.682142116,0,0 +19190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.21530306,-9.612801916,0,0 +19189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.76932031,-10.3258266,0,0 +19191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.6490999,-10.29154169,0,0 +19192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.16245265,-9.68508816,0,0 +19193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.41225035,-9.650283189,0,0 +19194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.53102127,-9.932189857,0,0 +19195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.02317384,-9.484715829,0,0 +19196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.23203726,-9.772398089,0,0 +19198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.953257887,-9.353054972,0,0 +19197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.59140306,-10.35001429,0,0 +19199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.4652269,-10.13211536,0,0 +19200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.51404238,-10.0724427,0,0 +19201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.18830687,-9.744695516,0,0 +19202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.62048868,-10.39950364,0,0 +19203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.23903643,-9.693638527,0,0 +19204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.18464772,-9.51043476,0,0 +19206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.03641043,-9.803753619,0,0 +19205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.68239536,-10.4021868,0,0 +19207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.57495043,-10.15683965,0,0 +19209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.36573541,-9.716373497,0,0 +19211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.15367099,-9.889640081,0,0 +19210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.18485113,-9.7958092,0,0 +19208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.72713135,-10.07280519,0,0 +19212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.68118844,-10.16643545,0,0 +19213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.28509688,-10.15573572,0,0 +19215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.71363415,-10.23739598,0,0 +19214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.5773119,-10.28922833,0,0 +19217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.09452346,-9.512580399,0,0 +19216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.84541333,-10.36068377,0,0 +19219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.38676458,-10.0924402,0,0 +19218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.41559855,-9.80099489,0,0 +19220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.59233705,-10.39436364,0,0 +19221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.08191712,-9.553055849,0,0 +19222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.21982938,-9.624131003,0,0 +19224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.13896155,-9.845534595,0,0 +19225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.82588392,-10.57409694,0,0 +19223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.78909363,-10.33258705,0,0 +19226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.78487958,-10.37134826,0,0 +19227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.80246049,-10.39851544,0,0 +19228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.57815992,-10.15462365,0,0 +19229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.08095253,-9.719956914,0,0 +19230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.41579054,-10.13303112,0,0 +19231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.63519282,-10.30113578,0,0 +19232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.01166691,-9.604298875,0,0 +19235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.25176731,-9.859896844,0,0 +19234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.990298241,-9.828573137,0,0 +19236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.47438849,-9.903746579,0,0 +19233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.42788351,-9.953462593,0,0 +19237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.880350216,-9.37986827,0,0 +19240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.10504666,-9.87316535,0,0 +19239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.0654629,-9.574612611,0,0 +19238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.3369573,-10.10051392,0,0 +19241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.60637621,-10.26699271,0,0 +19242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.83527782,-10.32863464,0,0 +19243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.34854705,-10.11373959,0,0 +19245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.26242426,-9.964004152,0,0 +19244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.76623351,-10.29964619,0,0 +19248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.31212551,-9.835673055,0,0 +19246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.05673738,-9.557627621,0,0 +19247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.28352969,-9.937399034,0,0 +19250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.70972084,-10.29934013,0,0 +19249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.18246482,-9.719114466,0,0 +19252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.60188766,-10.09636443,0,0 +19251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.62110212,-10.34960604,0,0 +19253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.49081725,-9.875025812,0,0 +19256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.27126639,-9.509169958,0,0 +19255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.39992578,-9.844720771,0,0 +19254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.67345533,-10.24437074,0,0 +19257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.09668071,-9.769712175,0,0 +19258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.48917609,-10.20914398,0,0 +19259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.53744807,-9.997028937,0,0 +19260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.48895739,-10.14360958,0,0 +19262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.958852343,-9.641074933,0,0 +19263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.407475,-9.863923563,0,0 +19261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.63363417,-10.14278359,0,0 +19264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.06949767,-9.429396682,0,0 +19265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.56134148,-9.94407362,0,0 +19266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.1754903,-9.857202819,0,0 +19267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.59435458,-10.2570617,0,0 +19268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.41249874,-10.09552848,0,0 +19270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.2613516,-9.795117007,0,0 +19269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.72935243,-10.23665473,0,0 +19272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.52907279,-10.26420413,0,0 +19273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.58914414,-9.968797809,0,0 +19274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.87889924,-10.68811204,0,0 +19271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.6163898,-10.00878147,0,0 +19275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.6712762,-10.04489716,0,0 +19276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.62876909,-10.3429789,0,0 +19278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.69613164,-10.03020493,0,0 +19277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.20519953,-9.824125954,0,0 +19279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.68821122,-10.22068677,0,0 +19281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.63571425,-10.18426703,0,0 +19282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.47036294,-9.979284419,0,0 +19280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.57752272,-10.05304758,0,0 +19283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.38133195,-10.10854603,0,0 +19284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.221881,-9.546052806,0,0 +19286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.24345581,-9.651005567,0,0 +19285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.3181884,-9.775212562,0,0 +19287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.71067062,-10.2003708,0,0 +19288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.05211851,-9.668699568,0,0 +19290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.29513524,-9.762460962,0,0 +19289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.05939516,-9.845838676,0,0 +19291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.12299322,-9.633596786,0,0 +19292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.1650241,-9.500506859,0,0 +19293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.12924698,-9.507769533,0,0 +19294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.943678351,-9.139770308,0,0 +19295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.08809364,-9.794703458,0,0 +19297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.62209979,-10.44811423,0,0 +19296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.25734046,-9.695334159,0,0 +19299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.56114201,-9.869747849,0,0 +19300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.00649487,-9.554166242,0,0 +19302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.27343612,-9.65130089,0,0 +19298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.37454801,-9.880463221,0,0 +19301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.60894309,-10.04486316,0,0 +19303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.17834827,-9.922296112,0,0 +19304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.68235322,-10.22935633,0,0 +19305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.71495972,-10.30174445,0,0 +19306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.14194177,-9.780932162,0,0 +19307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.38372419,-9.842843899,0,0 +19308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.56868344,-10.10666119,0,0 +19310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.15696111,-9.74723068,0,0 +19311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.36830283,-9.599609279,0,0 +19309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.33735336,-10.00661715,0,0 +19312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.74549152,-10.10980537,0,0 +19313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.53173153,-10.01305652,0,0 +19314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.52386321,-10.19563664,0,0 +19315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.992876983,-9.646723581,0,0 +19316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.33068026,-9.651154458,0,0 +19317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.71286963,-10.09164905,0,0 +19318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.987920193,-9.553672472,0,0 +19320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.37031633,-9.944025438,0,0 +19321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.41249249,-9.921429973,0,0 +19319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.64977782,-10.33591546,0,0 +19322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.83099358,-10.22022757,0,0 +19323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.958780556,-9.339222197,0,0 +19324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.03922593,-9.529753623,0,0 +19325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.73507535,-10.22329638,0,0 +19326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.5797576,-10.14054553,0,0 +19327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.29176713,-9.731164438,0,0 +19328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.00890197,-9.422194135,0,0 +19329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.72888277,-10.3148401,0,0 +19330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.06674683,-9.659173709,0,0 +19331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.61903245,-10.29064022,0,0 +19332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.32602357,-9.787136495,0,0 +19333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.07383014,-9.524630649,0,0 +19334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.68353236,-10.4558493,0,0 +19336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.6713112,-10.15291375,0,0 +19335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.891535342,-9.366138552,0,0 +19338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.27226029,-9.742474962,0,0 +19339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.20895,-10.05502479,0,0 +19340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.71327656,-10.29201183,0,0 +19341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.50940451,-9.799068056,0,0 +19337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.31856385,-9.866589808,0,0 +19342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.68290419,-10.38852021,0,0 +19343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.48041302,-9.771740779,0,0 +19344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.16794287,-9.750650523,0,0 +19345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.80203539,-10.18737139,0,0 +19346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.21872628,-9.695634827,0,0 +19348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.00241319,-9.707561106,0,0 +19347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.26932491,-9.920046999,0,0 +19349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.68672642,-10.23891698,0,0 +19350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.09901833,-9.716484686,0,0 +19351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.20175398,-9.595427152,0,0 +19352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.21080847,-9.886397595,0,0 +19353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.56154323,-10.00756244,0,0 +19354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.23216737,-9.612992574,0,0 +19355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.37105227,-9.912868025,0,0 +19356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.21055803,-9.94698382,0,0 +19358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.25268575,-9.568765174,0,0 +19357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.31549752,-9.848582996,0,0 +19359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.33996951,-9.790749177,0,0 +19360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.43100383,-9.747207656,0,0 +19361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.6456514,-10.08227665,0,0 +19362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.00206189,-9.415275581,0,0 +19363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.47284431,-10.14473002,0,0 +19364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.26402827,-9.745999836,0,0 +19365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.17008681,-9.706524618,0,0 +19367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.47363298,-10.10919292,0,0 +19368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.57829745,-9.839575706,0,0 +19366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.64820028,-10.01961553,0,0 +19369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.19107884,-9.602295916,0,0 +19370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.23385427,-9.920824317,0,0 +19371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.57493129,-10.14446387,0,0 +19373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.990618702,-9.400941268,0,0 +19372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.5498655,-10.22922521,0,0 +19374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.42460468,-10.1607286,0,0 +19375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.38268086,-9.876319174,0,0 +19377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.22125977,-9.706513052,0,0 +19379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.954666383,-9.430109576,0,0 +19378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.87662217,-10.28460745,0,0 +19376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.45469305,-10.16542018,0,0 +19380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.71581453,-10.07050114,0,0 +19381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.04632411,-9.464337798,0,0 +19382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.22525277,-9.853013557,0,0 +19383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.63350731,-10.25643289,0,0 +19384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.03951621,-9.599680311,0,0 +19385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.54619208,-10.21755539,0,0 +19386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.49852464,-9.699218008,0,0 +19387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.28794919,-9.993963722,0,0 +19389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.57983888,-10.07825139,0,0 +19388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.14737197,-9.721027001,0,0 +19390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.32371799,-9.876268747,0,0 +19391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.15439343,-9.666903997,0,0 +19392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.77167597,-9.89282181,0,0 +19393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.0689569,-9.50931914,0,0 +19394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.71784359,-10.33281212,0,0 +19396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.06867078,-9.308671135,0,0 +19397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.43143669,-10.19109584,0,0 +19398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.36514437,-9.753375105,0,0 +19395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.65714861,-10.32399992,0,0 +19400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.62611266,-10.15650664,0,0 +19399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.64450859,-10.23722988,0,0 +19402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.25459584,-10.07848984,0,0 +19401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.27341126,-9.843067802,0,0 +19404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.10806413,-9.51663542,0,0 +19403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.67059193,-9.929067978,0,0 +19405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.00194254,-9.355814446,0,0 +19406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.50541134,-9.877517008,0,0 +19407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.5520065,-10.01520697,0,0 +19408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.59415806,-9.878973426,0,0 +19410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.70236163,-10.22564837,0,0 +19409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.32137091,-9.908231801,0,0 +19411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.30931326,-10.03367892,0,0 +19412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.50955289,-9.794289426,0,0 +19413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.12569515,-9.639128144,0,0 +19415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.02377299,-9.622885127,0,0 +19416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.19524779,-9.707675997,0,0 +19418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.54948486,-10.03215429,0,0 +19417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.1153917,-9.5824409,0,0 +19414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.23437416,-9.627057507,0,0 +19419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.07947772,-9.671828144,0,0 +19420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.58968004,-9.753841631,0,0 +19421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.59302456,-10.15552669,0,0 +19422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.05913016,-9.60637872,0,0 +19423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.29571702,-9.49160821,0,0 +19424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.46355062,-9.868362057,0,0 +19425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.06906667,-9.553269942,0,0 +19426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.25996127,-9.713799388,0,0 +19427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.70587315,-10.32197294,0,0 +19428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.27414696,-9.876041597,0,0 +19429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.80655482,-10.21541483,0,0 +19431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.7510007,-10.23649338,0,0 +19430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.50500591,-10.06665139,0,0 +19432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.44709069,-9.898476003,0,0 +19433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.45341726,-9.910653059,0,0 +19435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.5729962,-9.971790949,0,0 +19436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.23903284,-9.822407395,0,0 +19437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.5529045,-9.927197228,0,0 +19434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.11469762,-9.645421404,0,0 +19438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.40362618,-9.672906937,0,0 +19439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.73207989,-10.26173979,0,0 +19440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.05357274,-9.829185708,0,0 +19441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.62430608,-10.09278924,0,0 +19442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.57056144,-10.05558533,0,0 +19443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.75526479,-10.28027151,0,0 +19444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.37314116,-10.11363511,0,0 +19445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.69767773,-10.12910753,0,0 +19447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.12256704,-9.781411495,0,0 +19446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.36422851,-10.07716859,0,0 +19448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.50385455,-10.42133393,0,0 +19449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.17441338,-9.615469203,0,0 +19450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.39166828,-9.808858711,0,0 +19451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.69197711,-10.21776545,0,0 +19452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.13588533,-9.546477307,0,0 +19454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.33736138,-9.811040278,0,0 +19455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.77696676,-10.44502296,0,0 +19456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.64164181,-10.01915464,0,0 +19457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.03222602,-9.683974202,0,0 +19453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.24995536,-9.887812593,0,0 +19458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.3333408,-9.652855262,0,0 +19459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.03152688,-9.687177478,0,0 +19460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.18354025,-9.827968904,0,0 +19461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.75282377,-10.36362937,0,0 +19462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.1865173,-9.659878436,0,0 +19463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.80645647,-10.35153748,0,0 +19464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.79949106,-10.24809096,0,0 +19465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.34865269,-9.763703869,0,0 +19466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.46872409,-9.687222586,0,0 +19468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.56190898,-9.984090758,0,0 +19467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.71223654,-10.2744795,0,0 +19469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.64098196,-9.865462852,0,0 +19470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.06830847,-9.530829845,0,0 +19471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.57654155,-10.17255283,0,0 +19472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.2287517,-9.903063783,0,0 +19474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.60250609,-9.991066234,0,0 +19475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.963571905,-9.659004729,0,0 +19476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.68522884,-10.22823988,0,0 +19477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.49909262,-10.04229589,0,0 +19473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.54367684,-10.1568674,0,0 +19478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.37044238,-9.868119325,0,0 +19479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.6122455,-10.02766045,0,0 +19480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.2952724,-9.903084543,0,0 +19481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.58359478,-10.0514696,0,0 +19482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.08115264,-9.677275426,0,0 +19483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.59199899,-10.22989538,0,0 +19484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.00151348,-9.674991184,0,0 +19485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.42696973,-10.01320007,0,0 +19486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.01509771,-9.424706681,0,0 +19487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.993203578,-9.559752139,0,0 +19488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.56393402,-10.17961362,0,0 +19489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.35131866,-10.2682242,0,0 +19491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.74183693,-10.32341303,0,0 +19490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.58169635,-10.17554405,0,0 +19492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.18240488,-9.61443599,0,0 +19494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.42196205,-9.747209209,0,0 +19495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.90480927,-10.58418584,0,0 +19496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.48168524,-10.11088651,0,0 +19493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.02271946,-9.791992555,0,0 +19498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.38525685,-10.05283616,0,0 +19499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.11394634,-9.783778437,0,0 +19497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.32477301,-9.667866198,0,0 +19500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.02281224,-9.541100414,0,0 +19501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.38645782,-10.09862907,0,0 +19502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.26469644,-9.710383043,0,0 +19503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.15844481,-9.732127475,0,0 +19504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.69789006,-10.12242127,0,0 +19507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.10853821,-9.665678164,0,0 +19508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.01411564,-9.641779664,0,0 +19505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.49200929,-10.33280314,0,0 +19506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.57551888,-10.25653495,0,0 +19509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.67792925,-10.25617896,0,0 +19510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.902446387,-9.505137555,0,0 +19511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.21144969,-9.753702962,0,0 +19515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.66406791,-10.14554738,0,0 +19514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.66694227,-10.38816332,0,0 +19513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.15022723,-9.580429083,0,0 +19512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.68414133,-10.33367576,0,0 +19517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.32325727,-9.647471922,0,0 +19516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.77767328,-10.34704774,0,0 +19518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.65394973,-10.13604772,0,0 +19519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.41313069,-9.775281195,0,0 +19521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.16685485,-9.719885395,0,0 +19520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.37685353,-9.754162634,0,0 +19522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.42826768,-9.944644088,0,0 +19524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.03436221,-9.598637498,0,0 +19523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.56560721,-10.17369909,0,0 +19525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.77971602,-10.27379268,0,0 +19526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.01093043,-9.395848899,0,0 +19527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.79743031,-10.20342041,0,0 +19528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.01702922,-9.75225307,0,0 +19530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.55116591,-10.00570301,0,0 +19529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.931431824,-9.568094337,0,0 +19531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.59657125,-10.16517032,0,0 +19533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.16369392,-9.592139935,0,0 +19534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.74508361,-10.37864245,0,0 +19535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.41599161,-9.877073881,0,0 +19532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.42537899,-9.992728981,0,0 +19536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.51155507,-9.924582913,0,0 +19537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.14314034,-9.878798131,0,0 +19538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.11992998,-9.814153414,0,0 +19539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.76545443,-10.1091677,0,0 +19540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.27053795,-9.592367138,0,0 +19541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.05384287,-9.705702647,0,0 +19542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.80986627,-10.40732008,0,0 +19543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.33178731,-9.737498784,0,0 +19544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.29181298,-9.918537148,0,0 +19545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.58353681,-10.27131122,0,0 +19546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.01906707,-9.624645693,0,0 +19548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.22106038,-9.947027753,0,0 +19547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.12645407,-9.534358603,0,0 +19549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.26064499,-9.865378776,0,0 +19550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.933783333,-9.629126167,0,0 +19551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.20178668,-9.56676024,0,0 +19552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.24782277,-9.886320113,0,0 +19553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.58898637,-10.20696699,0,0 +19555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.76579617,-10.30237108,0,0 +19556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.946478605,-9.689841592,0,0 +19554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.22132306,-9.882229993,0,0 +19557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.986689167,-9.689745584,0,0 +19558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.03817428,-9.549139982,0,0 +19560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.03472515,-9.585987753,0,0 +19561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.58371809,-10.12322693,0,0 +19559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.670172,-10.37157321,0,0 +19563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.26419282,-9.75512422,0,0 +19564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.6690575,-10.42898979,0,0 +19562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.60097736,-10.35100388,0,0 +19565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.03844702,-9.759895694,0,0 +19566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.49346677,-9.841240791,0,0 +19568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.01061447,-9.55366834,0,0 +19567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.30198964,-9.842016489,0,0 +19569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.71181133,-10.4411777,0,0 +19571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.66546314,-10.22431831,0,0 +19572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.36236753,-9.889199088,0,0 +19570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.82986996,-10.46896378,0,0 +19573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.15428144,-9.711476032,0,0 +19574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.77560723,-10.13926168,0,0 +19575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.61588473,-10.15701914,0,0 +19577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.5725256,-10.02095127,0,0 +19579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.37657982,-9.806715801,0,0 +19580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.82255198,-10.4515207,0,0 +19578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.75533264,-10.00865924,0,0 +19576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.83350489,-10.20341346,0,0 +19581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.32674263,-9.891546574,0,0 +19582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.09947436,-9.668866652,0,0 +19583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.68099649,-10.30292684,0,0 +19584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.5214434,-9.922184076,0,0 +19585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.09867906,-9.592350649,0,0 +19587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.83583525,-10.38548549,0,0 +19588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.31863853,-9.599052738,0,0 +19586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.46093098,-9.972911914,0,0 +19589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.27328472,-10.00296365,0,0 +19590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.35337484,-9.728218945,0,0 +19591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.70687089,-9.836700003,0,0 +19592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.09561315,-9.935760786,0,0 +19593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.65796009,-10.13962775,0,0 +19594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.88965804,-10.66288745,0,0 +19596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.27321177,-9.784766853,0,0 +19595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.35672384,-9.868157874,0,0 +19597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.13832636,-9.635840106,0,0 +19598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.56702121,-10.07200785,0,0 +19599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.08955905,-9.68026887,0,0 +19600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.60059044,-9.924076098,0,0 +19602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.64621581,-10.11599171,0,0 +19601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.02540621,-9.470415583,0,0 +19604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.66266506,-10.16140963,0,0 +19603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.45909376,-9.999228467,0,0 +19605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.63931816,-10.12002263,0,0 +19606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.67569507,-10.14099444,0,0 +19607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.49582137,-9.991062085,0,0 +19608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.30824162,-9.946363426,0,0 +19609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.889394763,-9.458139321,0,0 +19610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.16547282,-9.61591024,0,0 +19612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.70633001,-10.36483928,0,0 +19611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.68010546,-10.16075341,0,0 +19613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.66584471,-10.43086848,0,0 +19615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.59923061,-9.988666268,0,0 +19614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.922835921,-9.373224761,0,0 +19616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.2552754,-9.913588057,0,0 +19617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.976505004,-9.557801231,0,0 +19618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.3084842,-9.944487611,0,0 +19619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.232817,-9.677502222,0,0 +19620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.8513508,-10.55083948,0,0 +19621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.06062917,-9.456953344,0,0 +19622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.85379088,-10.49769106,0,0 +19623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.63629691,-10.01629097,0,0 +19624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.73335738,-10.2673079,0,0 +19625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.46380647,-9.832669355,0,0 +19626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.981423819,-9.711414824,0,0 +19627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.46822929,-10.03422091,0,0 +19629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.21741631,-9.566264926,0,0 +19628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.4222746,-10.11884414,0,0 +19630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.17789353,-9.631639084,0,0 +19632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.3865466,-9.916922007,0,0 +19631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.25304402,-9.601486961,0,0 +19633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.10073264,-9.697241927,0,0 +19634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.66540131,-10.1599557,0,0 +19635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.13901046,-9.516795042,0,0 +19636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.22766046,-9.730089919,0,0 +19637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.57297624,-10.00681801,0,0 +19638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.06999438,-9.703847407,0,0 +19639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.18276371,-9.639716117,0,0 +19641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.61892452,-10.24498519,0,0 +19640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.74311251,-10.39023924,0,0 +19642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.51973853,-9.862307109,0,0 +19644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.13676355,-9.635889998,0,0 +19643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.56674967,-10.23273647,0,0 +19645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.76544469,-10.09749144,0,0 +19646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.79153997,-10.43037565,0,0 +19647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.47852695,-9.912349553,0,0 +19648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.49442051,-10.08015221,0,0 +19650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.37134197,-9.506601001,0,0 +19649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.59089987,-10.18683658,0,0 +19652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.41804851,-9.6959295,0,0 +19651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.68175485,-10.24258649,0,0 +19653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.21657078,-9.895298207,0,0 +19654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.16432137,-9.519550295,0,0 +19655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.0400525,-9.531030955,0,0 +19656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.54514271,-10.24612989,0,0 +19657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.4763617,-10.19182617,0,0 +19658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.18046889,-9.654212985,0,0 +19660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.11491709,-9.599822614,0,0 +19659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.5995175,-10.06976035,0,0 +19661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.1888585,-9.432288791,0,0 +19662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.49985909,-10.020187,0,0 +19663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.053907,-9.51413913,0,0 +19664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.63629885,-9.913914753,0,0 +19665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.05852052,-9.57228887,0,0 +19667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.973563422,-9.233432275,0,0 +19668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.974033693,-9.566326182,0,0 +19666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.01757631,-9.610967086,0,0 +19669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.46210736,-10.1299676,0,0 +19670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.47183522,-10.13933221,0,0 +19671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.29033897,-9.866657569,0,0 +19672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.08788886,-9.747323025,0,0 +19673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.09082245,-9.582777664,0,0 +19674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.34025776,-9.955648051,0,0 +19675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.27183988,-10.02319604,0,0 +19677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.38608964,-10.00285717,0,0 +19676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.3833488,-9.920442747,0,0 +19678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.17401722,-9.635916094,0,0 +19679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.44586397,-9.985378502,0,0 +19680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.02946834,-9.612303777,0,0 +19681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.06029731,-9.621150764,0,0 +19682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.01297528,-9.384485117,0,0 +19683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.03197894,-9.647940243,0,0 +19684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.01744587,-9.691568389,0,0 +19686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.61242091,-10.14472111,0,0 +19685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.30753763,-10.08563096,0,0 +19687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.00021328,-9.334695689,0,0 +19688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.7576525,-10.19501005,0,0 +19689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.28572482,-9.913475448,0,0 +19690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.79048499,-10.34380331,0,0 +19691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.39091186,-10.13601687,0,0 +19692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.49509465,-9.728253904,0,0 +19693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.68747265,-10.17126233,0,0 +19694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.19908524,-9.736622356,0,0 +19695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.78761095,-10.48367916,0,0 +19696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.24249447,-9.502622534,0,0 +19697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.72744234,-10.41395314,0,0 +19698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.60555147,-10.27138322,0,0 +19699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.26282901,-9.930403658,0,0 +19700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.61910181,-10.03775063,0,0 +19701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.59977307,-10.23397979,0,0 +19703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.0011167,-9.621365121,0,0 +19704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.5002944,-10.36138309,0,0 +19702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.17130725,-9.604626073,0,0 +19705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.73967844,-10.20817985,0,0 +19706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.77848253,-10.16062707,0,0 +19707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.37186729,-9.846066322,0,0 +19708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.26812682,-9.757213441,0,0 +19709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.77021632,-10.31261369,0,0 +19710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.22676624,-9.727818073,0,0 +19711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.59264656,-10.28717771,0,0 +19713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.25037544,-9.490030996,0,0 +19714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.8022245,-10.33656187,0,0 +19715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.17245588,-10.0686516,0,0 +19712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.14622333,-9.767075594,0,0 +19716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.24157934,-9.750066582,0,0 +19717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.40418545,-10.1065021,0,0 +19718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.58045419,-10.01251808,0,0 +19719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.12939542,-9.608926226,0,0 +19720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.81591986,-10.14786821,0,0 +19722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.57945434,-10.11194632,0,0 +19721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.00931429,-9.480646968,0,0 +19724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.29600632,-10.11514136,0,0 +19723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.56610299,-10.12124717,0,0 +19725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.66963971,-10.0509501,0,0 +19726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.68467901,-9.920775511,0,0 +19727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.43787636,-10.08188296,0,0 +19728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.72029338,-10.03551601,0,0 +19729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.11870788,-9.806264081,0,0 +19730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.76318103,-10.25743176,0,0 +19731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.55163378,-10.34984402,0,0 +19733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.25301073,-9.7302835,0,0 +19732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.01359935,-9.358580712,0,0 +19734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.59266411,-10.19847053,0,0 +19735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.6350488,-10.05558429,0,0 +19736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.07966532,-9.563193437,0,0 +19737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.3456754,-9.931824245,0,0 +19738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.5565171,-10.33718548,0,0 +19739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.05344498,-9.581052311,0,0 +19740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.50338764,-9.940590419,0,0 +19743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.39803494,-9.946133713,0,0 +19742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.77917672,-10.43642033,0,0 +19741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.45890756,-10.13769276,0,0 +19744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.25388096,-9.813358244,0,0 +19745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.66962496,-10.13340663,0,0 +19746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.07646521,-9.849124249,0,0 +19747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.5518048,-9.995725328,0,0 +19748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.80750728,-10.23312506,0,0 +19749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.64970921,-10.20866643,0,0 +19750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.48228444,-9.981508066,0,0 +19751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.01821477,-9.406134789,0,0 +19752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.34474594,-10.21323538,0,0 +19753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.62962471,-9.964845208,0,0 +19754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.21027231,-9.846269811,0,0 +19755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.20993194,-9.721236884,0,0 +19756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.54562792,-10.23102867,0,0 +19758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.78050004,-10.39687553,0,0 +19757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.76157931,-10.36124328,0,0 +19759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.51499584,-9.997888847,0,0 +19760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.58338487,-9.999256832,0,0 +19761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.1520805,-9.7113474,0,0 +19762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.6019805,-10.16755242,0,0 +19763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.23308143,-9.69268755,0,0 +19764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.45849341,-9.627478502,0,0 +19766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.76199892,-10.09250472,0,0 +19765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.76218318,-10.19701873,0,0 +19767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.29979691,-9.862662746,0,0 +19768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.31435493,-10.0086043,0,0 +19769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.33301841,-9.994591363,0,0 +19770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.958043115,-9.526102593,0,0 +19771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.1241456,-9.694316887,0,0 +19772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.44544193,-9.946982334,0,0 +19774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.51474411,-10.18589094,0,0 +19773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.51155215,-10.13906285,0,0 +19776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.06645118,-9.531742348,0,0 +19777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.39203245,-10.19521835,0,0 +19778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.23698074,-9.730682004,0,0 +19779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.07609111,-9.535868017,0,0 +19775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.66090394,-10.13597688,0,0 +19780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.12031239,-9.646931094,0,0 +19782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.08242154,-9.763711096,0,0 +19781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.38493118,-9.850456689,0,0 +19783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.30366411,-9.722684435,0,0 +19784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.28163598,-9.785995298,0,0 +19785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.10980089,-9.641455318,0,0 +19786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.60432188,-10.30810438,0,0 +19788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.17748003,-9.855220939,0,0 +19790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.68051947,-10.26277179,0,0 +19789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.12813903,-9.610124413,0,0 +19791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.69010956,-10.16247648,0,0 +19787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.75158506,-10.60901729,0,0 +19792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.07365591,-9.441699433,0,0 +19793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.55933028,-10.18578408,0,0 +19794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.30375559,-9.838379326,0,0 +19795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.62226174,-10.28153937,0,0 +19796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.16112155,-9.656970311,0,0 +19797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.34024443,-9.839276323,0,0 +19799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.59141147,-10.05000032,0,0 +19798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.14450832,-9.569096939,0,0 +19801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.04166934,-9.340155686,0,0 +19800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.62540056,-9.951905373,0,0 +19802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.80884641,-10.34782474,0,0 +19803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.74168011,-10.17586729,0,0 +19804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.3901018,-10.04579247,0,0 +19805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.95970981,-9.493542114,0,0 +19807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.55404009,-10.06833732,0,0 +19808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.29184597,-9.713119888,0,0 +19809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.37494053,-9.978639022,0,0 +19810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.36661608,-9.739753527,0,0 +19811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.43585882,-9.815356059,0,0 +19806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.61123255,-10.20997979,0,0 +19812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.14425373,-9.710498412,0,0 +19813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.28414886,-9.477698801,0,0 +19814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.59427728,-10.08276166,0,0 +19815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.45899965,-9.894424575,0,0 +19816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.48487693,-9.813790989,0,0 +19817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.70442301,-10.25046766,0,0 +19818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.63176063,-10.28484129,0,0 +19819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.73585528,-10.42476228,0,0 +19820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.75131104,-10.40588476,0,0 +19821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.23763016,-9.7529365,0,0 +19822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.15655321,-9.592404908,0,0 +19823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.3256458,-10.0780362,0,0 +19825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.81335671,-10.45921235,0,0 +19826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.245462,-9.759289586,0,0 +19824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.07861033,-9.740152644,0,0 +19828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.16875066,-9.663453748,0,0 +19827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.27644426,-9.873965154,0,0 +19831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.27687655,-9.819635774,0,0 +19830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.27252172,-9.590246415,0,0 +19832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.42788031,-10.06928098,0,0 +19833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.09254781,-9.524240216,0,0 +19834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.46662519,-10.09039364,0,0 +19829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.74374611,-10.36088477,0,0 +19835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.36768607,-9.785136915,0,0 +19836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.75387249,-10.28121801,0,0 +19837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.66638906,-10.35286975,0,0 +19838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.45323434,-10.09437725,0,0 +19839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.35021342,-10.05424971,0,0 +19840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.16860745,-9.864252535,0,0 +19842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.10613623,-9.60928744,0,0 +19841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.7644059,-10.21032493,0,0 +19843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.19533909,-9.755742896,0,0 +19845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.01382834,-9.408717207,0,0 +19846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.55176261,-10.1573109,0,0 +19847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.10683267,-9.908581704,0,0 +19848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.26910763,-9.936827497,0,0 +19849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.82243745,-10.3835848,0,0 +19844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.10366434,-9.589109237,0,0 +19850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.10944245,-9.583531333,0,0 +19851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.10763143,-9.750188462,0,0 +19852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.49170224,-9.96016778,0,0 +19854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.39595937,-10.06686841,0,0 +19856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.36424612,-10.07070151,0,0 +19853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.5158551,-10.13800163,0,0 +19857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.66707538,-10.27815911,0,0 +19855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.16920788,-9.482782495,0,0 +19858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.29402141,-10.07261425,0,0 +19859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.58849296,-9.950436023,0,0 +19860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.48605696,-9.778634603,0,0 +19861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.20127701,-9.71004722,0,0 +19863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.10855297,-9.506737448,0,0 +19862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.60737529,-10.07119412,0,0 +19865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.54974815,-9.863599422,0,0 +19866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.23394558,-9.615818832,0,0 +19867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.18750516,-9.451289799,0,0 +19868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.6861863,-10.45970466,0,0 +19869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.55575111,-9.950825154,0,0 +19864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.21902163,-9.768861996,0,0 +19871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.46005731,-9.953995888,0,0 +19870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.35688534,-9.623432634,0,0 +19874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.59041198,-10.27011721,0,0 +19872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.7362616,-10.19526707,0,0 +19875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.77463962,-10.56679379,0,0 +19873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.16496263,-9.719275711,0,0 +19876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.29423167,-9.757829353,0,0 +19877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.26276009,-10.00090967,0,0 +19878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.07753757,-9.356969889,0,0 +19879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.22210617,-9.731130642,0,0 +19880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.28599028,-9.973271645,0,0 +19882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.939774156,-9.575362219,0,0 +19881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.997630435,-9.412281816,0,0 +19883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.24911044,-9.646434269,0,0 +19884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.29764817,-9.905642215,0,0 +19887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.83560366,-10.36372379,0,0 +19886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.24579811,-9.70831063,0,0 +19885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.50243735,-10.11809327,0,0 +19888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.49835231,-9.973234924,0,0 +19889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.24423039,-9.887729857,0,0 +19892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.35032035,-9.79077474,0,0 +19890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.667712,-10.17068424,0,0 +19891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.01580522,-9.209882936,0,0 +19893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.00601377,-9.624099455,0,0 +19894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.11714423,-9.365989757,0,0 +19895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.37122368,-9.793427712,0,0 +19896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.35040718,-9.943691736,0,0 +19897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.24841603,-9.835910539,0,0 +19898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.43895357,-10.02601698,0,0 +19899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.5976214,-10.30587111,0,0 +19900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.974022305,-9.663771064,0,0 +19901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.0447628,-9.568272454,0,0 +19902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.21961754,-9.886150986,0,0 +19904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.09933445,-9.649178177,0,0 +19905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.23329778,-9.823802643,0,0 +19906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.67736175,-9.963568802,0,0 +19903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.0217751,-9.591367591,0,0 +19908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.76683334,-10.20496045,0,0 +19907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.1870022,-9.723756561,0,0 +19910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.0385355,-9.629417805,0,0 +19909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.36736627,-10.04914613,0,0 +19911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.22660843,-9.870419491,0,0 +19912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.41135168,-9.806472246,0,0 +19913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.50732845,-10.15575028,0,0 +19914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.59623989,-9.86626082,0,0 +19915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.18638924,-9.736215481,0,0 +19916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.14803413,-10.05062508,0,0 +19917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.77865699,-10.24719693,0,0 +19918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.73676486,-10.30718716,0,0 +19919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.38120062,-9.884750455,0,0 +19920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.84078806,-10.30445432,0,0 +19921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.69477954,-10.16803651,0,0 +19923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.4300171,-10.01258016,0,0 +19924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.34552184,-9.870646539,0,0 +19925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.19158959,-9.675942515,0,0 +19922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.27870773,-9.695707892,0,0 +19926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.25057887,-9.757082934,0,0 +19927,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.17772068,-9.789022727,0,0 +19928,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.28678372,-10.16024723,0,0 +19929,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.20784082,-9.780306428,0,0 +19931,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.14297456,-9.593265228,0,0 +19930,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.49499942,-10.01712213,0,0 +19932,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.67802764,-10.28517282,0,0 +19934,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.68410266,-10.10919055,0,0 +19933,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.41054068,-9.845183042,0,0 +19935,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.16735238,-9.385731259,0,0 +19936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.53567721,-9.982204379,0,0 +19937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.33047413,-9.771202783,0,0 +19939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.16336868,-9.845164005,0,0 +19938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.0600956,-9.634619841,0,0 +19940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.33838082,-10.21850075,0,0 +19943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.02659323,-9.501053587,0,0 +19941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.66232086,-10.04815225,0,0 +19942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.74834253,-10.28892995,0,0 +19944,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.55649756,-9.998477219,0,0 +19945,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.06628683,-9.808981175,0,0 +19948,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.30356292,-9.878951849,0,0 +19946,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.31919602,-9.837938014,0,0 +19950,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.74570434,-10.52870367,0,0 +19947,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.58347902,-9.994920591,0,0 +19951,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.38971784,-10.26779108,0,0 +19949,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.76761622,-10.28881186,0,0 +19953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.12773818,-9.495656478,0,0 +19952,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.45559076,-10.2162195,0,0 +19954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.66697809,-10.3505891,0,0 +19957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.66739154,-9.900087661,0,0 +19958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.27489164,-9.773002787,0,0 +19955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.5715509,-10.27149585,0,0 +19959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.41598127,-9.884643833,0,0 +19956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.25661475,-9.764465458,0,0 +19960,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.14177184,-9.634749973,0,0 +19962,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.65261609,-10.04137284,0,0 +19963,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.20567148,-9.84118768,0,0 +19967,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.67187568,-9.979455486,0,0 +19968,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.39680568,-9.744171328,0,0 +19964,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.20889207,-9.736751896,0,0 +19966,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.17358934,-9.728486446,0,0 +19965,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.69426234,-10.06925662,0,0 +19961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.54562997,-10.32273932,0,0 +19969,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.41226636,-9.699188123,0,0 +19970,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.08325628,-9.64044032,0,0 +19973,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.71294756,-10.32751349,0,0 +19972,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.13551891,-9.775707705,0,0 +19974,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.14971068,-9.649644234,0,0 +19975,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.914277284,-9.374692264,0,0 +19976,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.07097296,-9.640365534,0,0 +19971,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.966883144,-9.428189378,0,0 +19977,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.85059293,-10.21506879,0,0 +19978,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.91352487,-10.45606742,0,0 +19979,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.40520729,-10.19257782,0,0 +19980,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.40811741,-9.769490617,0,0 +19982,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.00796047,-9.604522791,0,0 +19981,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.54881831,-9.97180642,0,0 +19984,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.12066595,-9.543874646,0,0 +19985,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.79635302,-10.30555734,0,0 +19986,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.32144032,-9.85923434,0,0 +19987,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.20721943,-9.71375911,0,0 +19988,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.48844924,-10.05981366,0,0 +19990,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.02091574,-9.66690047,0,0 +19989,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-9.956036291,-9.551154696,0,0 +19991,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.1643622,-9.744941895,0,0 +19983,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.68661563,-10.15936357,0,0 +19992,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.75132511,-10.14276319,0,0 +19993,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.22477835,-9.79552098,0,0 +19994,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.67929639,-10.26685306,0,0 +19997,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.75221492,-10.29490506,0,0 +19995,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.75962883,-10.3853528,0,0 +19998,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.03378749,-9.733940719,0,0 +19996,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.67409982,-10.40033771,0,0 +20000,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.00233473,-9.709519365,0,0 +19999,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,0.95,10,1,-10.11034938,-9.561926832,0,0 +20004,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.8261011,-10.8261011,0,0 +20001,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.11015087,-10.11015087,0,0 +20003,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.3731929,-10.3731929,0,0 +20005,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.68249536,-10.68249536,0,0 +20002,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.32620906,-10.32620906,0,0 +20007,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.50770248,-10.50770248,0,0 +20006,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.39574207,-10.39574207,0,0 +20008,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.81263289,-10.81263289,0,0 +20010,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.09158633,-10.09158633,0,0 +20011,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.55902547,-10.55902547,0,0 +20013,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.69143165,-10.69143165,0,0 +20009,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.21474464,-10.21474464,0,0 +20014,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.42087536,-10.42087536,0,0 +20012,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.20253442,-10.20253442,0,0 +20015,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.69964525,-10.69964525,0,0 +20016,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.11753989,-10.11753989,0,0 +20018,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.72536081,-10.72536081,0,0 +20017,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.14696841,-10.14696841,0,0 +20021,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.74692461,-10.74692461,0,0 +20020,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.32619208,-10.32619208,0,0 +20019,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.14498999,-10.14498999,0,0 +20022,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.870383107,-9.870383107,0,0 +20023,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.72221326,-10.72221326,0,0 +20025,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.51047581,-10.51047581,0,0 +20026,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.48896365,-10.48896365,0,0 +20024,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.907110384,-9.907110384,0,0 +20027,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.72357995,-10.72357995,0,0 +20028,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.3468405,-10.3468405,0,0 +20029,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.983570033,-9.983570033,0,0 +20031,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.16329482,-10.16329482,0,0 +20032,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.15602336,-10.15602336,0,0 +20030,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.76103666,-10.76103666,0,0 +20034,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.52753048,-10.52753048,0,0 +20035,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.57736318,-10.57736318,0,0 +20036,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.42138839,-10.42138839,0,0 +20033,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.34435835,-10.34435835,0,0 +20037,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.57239245,-10.57239245,0,0 +20039,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.2582377,-10.2582377,0,0 +20040,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.5627651,-10.5627651,0,0 +20038,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.57414897,-10.57414897,0,0 +20043,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.03053487,-10.03053487,0,0 +20042,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.22370142,-10.22370142,0,0 +20044,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.41790509,-10.41790509,0,0 +20046,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.02676114,-10.02676114,0,0 +20047,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.1743996,-10.1743996,0,0 +20045,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.27996261,-10.27996261,0,0 +20048,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.7544436,-10.7544436,0,0 +20049,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.30806397,-10.30806397,0,0 +20050,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.60689265,-10.60689265,0,0 +20041,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.53332226,-10.53332226,0,0 +20051,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.41920526,-10.41920526,0,0 +20052,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.54587584,-10.54587584,0,0 +20053,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.80005138,-10.80005138,0,0 +20054,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.974684878,-9.974684878,0,0 +20056,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.953093812,-9.953093812,0,0 +20055,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.26723387,-10.26723387,0,0 +20057,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.27929554,-10.27929554,0,0 +20058,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.27591507,-10.27591507,0,0 +20060,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.31061011,-10.31061011,0,0 +20059,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.06821475,-10.06821475,0,0 +20061,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.20395772,-10.20395772,0,0 +20064,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.4724656,-10.4724656,0,0 +20063,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.26513481,-10.26513481,0,0 +20062,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.32814915,-10.32814915,0,0 +20066,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.70332111,-10.70332111,0,0 +20068,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.42661031,-10.42661031,0,0 +20069,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.18425228,-10.18425228,0,0 +20065,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.73542581,-10.73542581,0,0 +20067,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.70515615,-10.70515615,0,0 +20070,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.931626903,-9.931626903,0,0 +20071,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.04396094,-10.04396094,0,0 +20072,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.13141788,-10.13141788,0,0 +20073,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.18785082,-10.18785082,0,0 +20074,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.09266251,-10.09266251,0,0 +20077,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.39611369,-10.39611369,0,0 +20075,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.980043118,-9.980043118,0,0 +20078,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.56443386,-10.56443386,0,0 +20079,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.47344282,-10.47344282,0,0 +20076,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.53149888,-10.53149888,0,0 +20081,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.1544499,-10.1544499,0,0 +20082,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.08283889,-10.08283889,0,0 +20080,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.70874618,-10.70874618,0,0 +20083,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.43458893,-10.43458893,0,0 +20084,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.63156137,-10.63156137,0,0 +20085,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.39789134,-10.39789134,0,0 +20086,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.1121819,-10.1121819,0,0 +20089,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.67611909,-10.67611909,0,0 +20090,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.68033709,-10.68033709,0,0 +20088,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.6603998,-10.6603998,0,0 +20091,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.33404901,-10.33404901,0,0 +20092,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.5641401,-10.5641401,0,0 +20093,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.34128326,-10.34128326,0,0 +20094,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.20820273,-10.20820273,0,0 +20095,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.4146933,-10.4146933,0,0 +20087,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.34912778,-10.34912778,0,0 +20098,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.31427528,-10.31427528,0,0 +20096,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.7719784,-10.7719784,0,0 +20099,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.20378808,-10.20378808,0,0 +20097,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.84528807,-10.84528807,0,0 +20100,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.52128857,-10.52128857,0,0 +20101,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.30144106,-10.30144106,0,0 +20103,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.988996016,-9.988996016,0,0 +20105,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.43527969,-10.43527969,0,0 +20107,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.15193142,-10.15193142,0,0 +20109,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.30572691,-10.30572691,0,0 +20102,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.68544099,-10.68544099,0,0 +20104,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.12276913,-10.12276913,0,0 +20106,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.1179516,-10.1179516,0,0 +20108,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.972160245,-9.972160245,0,0 +20111,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.43683287,-10.43683287,0,0 +20113,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.36333207,-10.36333207,0,0 +20112,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.971905818,-9.971905818,0,0 +20114,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.00168027,-10.00168027,0,0 +20116,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.1067104,-10.1067104,0,0 +20110,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.43584844,-10.43584844,0,0 +20115,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.20900802,-10.20900802,0,0 +20117,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.66057758,-10.66057758,0,0 +20118,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.15558468,-10.15558468,0,0 +20120,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.67177386,-10.67177386,0,0 +20124,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.999844226,-9.999844226,0,0 +20125,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.26457052,-10.26457052,0,0 +20122,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.1697206,-10.1697206,0,0 +20123,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.40009469,-10.40009469,0,0 +20121,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.6091818,-10.6091818,0,0 +20119,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.999138131,-9.999138131,0,0 +20126,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.65156835,-10.65156835,0,0 +20127,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.40930565,-10.40930565,0,0 +20132,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.38120966,-10.38120966,0,0 +20129,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.0846635,-10.0846635,0,0 +20128,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.933176548,-9.933176548,0,0 +20130,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.15451316,-10.15451316,0,0 +20133,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.69125862,-10.69125862,0,0 +20134,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.01979538,-10.01979538,0,0 +20135,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.28758137,-10.28758137,0,0 +20136,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.61748124,-10.61748124,0,0 +20137,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.7208605,-10.7208605,0,0 +20131,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.42017819,-10.42017819,0,0 +20138,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.97876828,-9.97876828,0,0 +20139,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.25087245,-10.25087245,0,0 +20140,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.69910727,-10.69910727,0,0 +20142,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.71487045,-10.71487045,0,0 +20143,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.58335474,-10.58335474,0,0 +20141,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.46253327,-10.46253327,0,0 +20145,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.31733324,-10.31733324,0,0 +20146,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.45275339,-10.45275339,0,0 +20144,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.39763874,-10.39763874,0,0 +20148,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.11984647,-10.11984647,0,0 +20147,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.00225626,-10.00225626,0,0 +20149,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.956775393,-9.956775393,0,0 +20150,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.54796646,-10.54796646,0,0 +20151,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.68326651,-10.68326651,0,0 +20154,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.78162508,-10.78162508,0,0 +20153,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.30344152,-10.30344152,0,0 +20152,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.47247467,-10.47247467,0,0 +20156,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.14889469,-10.14889469,0,0 +20157,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.77945516,-10.77945516,0,0 +20158,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.48899953,-10.48899953,0,0 +20155,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.0703888,-10.0703888,0,0 +20159,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.15938596,-10.15938596,0,0 +20160,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.73661301,-10.73661301,0,0 +20161,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.6103064,-10.6103064,0,0 +20162,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.77500489,-10.77500489,0,0 +20165,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.50605674,-10.50605674,0,0 +20164,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.11841265,-10.11841265,0,0 +20166,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.082734,-10.082734,0,0 +20168,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.7594512,-10.7594512,0,0 +20167,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.55915637,-10.55915637,0,0 +20169,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.51768277,-10.51768277,0,0 +20163,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.43852929,-10.43852929,0,0 +20171,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.18291698,-10.18291698,0,0 +20172,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.67887142,-10.67887142,0,0 +20177,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.44320114,-10.44320114,0,0 +20174,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.66672186,-10.66672186,0,0 +20170,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.00493235,-10.00493235,0,0 +20175,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.71617193,-10.71617193,0,0 +20173,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.21653799,-10.21653799,0,0 +20176,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.80576952,-10.80576952,0,0 +20178,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.37023028,-10.37023028,0,0 +20179,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.37553757,-10.37553757,0,0 +20180,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.53574585,-10.53574585,0,0 +20181,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.37141057,-10.37141057,0,0 +20182,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.12610953,-10.12610953,0,0 +20183,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.33056287,-10.33056287,0,0 +20185,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.59835146,-10.59835146,0,0 +20184,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.61037349,-10.61037349,0,0 +20186,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.5264195,-10.5264195,0,0 +20187,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.28469673,-10.28469673,0,0 +20188,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.64021878,-10.64021878,0,0 +20191,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.05944687,-10.05944687,0,0 +20194,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.37821729,-10.37821729,0,0 +20193,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.64671474,-10.64671474,0,0 +20189,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.0430875,-10.0430875,0,0 +20192,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.09994591,-10.09994591,0,0 +20190,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.18966196,-10.18966196,0,0 +20195,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.89010161,-9.89010161,0,0 +20197,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.12200391,-10.12200391,0,0 +20200,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.41660654,-10.41660654,0,0 +20199,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.53212649,-10.53212649,0,0 +20201,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.52693246,-10.52693246,0,0 +20198,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.72558098,-10.72558098,0,0 +20196,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.14404402,-10.14404402,0,0 +20202,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.67689336,-10.67689336,0,0 +20203,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.09594046,-10.09594046,0,0 +20204,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.15488504,-10.15488504,0,0 +20205,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.42997084,-10.42997084,0,0 +20207,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.57081035,-10.57081035,0,0 +20208,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.913224294,-9.913224294,0,0 +20206,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.27892027,-10.27892027,0,0 +20209,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.36524879,-10.36524879,0,0 +20211,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.0662386,-10.0662386,0,0 +20213,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.46653664,-10.46653664,0,0 +20210,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.953431295,-9.953431295,0,0 +20214,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.08643266,-10.08643266,0,0 +20212,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.26948685,-10.26948685,0,0 +20215,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.55398799,-10.55398799,0,0 +20216,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.62384039,-10.62384039,0,0 +20218,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.72129529,-10.72129529,0,0 +20217,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.62533153,-10.62533153,0,0 +20221,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.45217244,-10.45217244,0,0 +20222,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.49060844,-10.49060844,0,0 +20223,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.22990018,-10.22990018,0,0 +20220,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.35822627,-10.35822627,0,0 +20224,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.21041665,-10.21041665,0,0 +20226,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.60764187,-10.60764187,0,0 +20219,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.32380476,-10.32380476,0,0 +20225,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.03139415,-10.03139415,0,0 +20227,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.17959246,-10.17959246,0,0 +20228,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.61064082,-10.61064082,0,0 +20229,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.00933681,-10.00933681,0,0 +20233,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.32423327,-10.32423327,0,0 +20230,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.76029673,-10.76029673,0,0 +20231,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.53723264,-10.53723264,0,0 +20232,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.30861802,-10.30861802,0,0 +20234,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.43948801,-10.43948801,0,0 +20236,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.71294301,-10.71294301,0,0 +20237,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.61274003,-10.61274003,0,0 +20240,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.21893161,-10.21893161,0,0 +20235,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.15234288,-10.15234288,0,0 +20239,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.8966236,-10.8966236,0,0 +20238,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.31466873,-10.31466873,0,0 +20242,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.83074729,-10.83074729,0,0 +20241,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.19558496,-10.19558496,0,0 +20244,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.58988368,-10.58988368,0,0 +20246,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.71699811,-10.71699811,0,0 +20243,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.12852114,-10.12852114,0,0 +20245,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.16315695,-10.16315695,0,0 +20248,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.47202088,-10.47202088,0,0 +20249,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.0497637,-10.0497637,0,0 +20250,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.23024692,-10.23024692,0,0 +20251,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.82465755,-10.82465755,0,0 +20247,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.1484516,-10.1484516,0,0 +20253,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.75929051,-10.75929051,0,0 +20252,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.5284303,-10.5284303,0,0 +20254,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.64003136,-10.64003136,0,0 +20255,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.50901034,-10.50901034,0,0 +20256,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.69852106,-10.69852106,0,0 +20257,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.55446373,-10.55446373,0,0 +20259,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.71674601,-10.71674601,0,0 +20258,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.39516665,-10.39516665,0,0 +20261,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.14093565,-10.14093565,0,0 +20262,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.5983337,-10.5983337,0,0 +20263,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.23109539,-10.23109539,0,0 +20264,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.83120925,-10.83120925,0,0 +20260,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.70545169,-10.70545169,0,0 +20266,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.60952751,-10.60952751,0,0 +20265,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.2955396,-10.2955396,0,0 +20268,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.16164954,-10.16164954,0,0 +20269,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.13741154,-10.13741154,0,0 +20271,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.61820121,-10.61820121,0,0 +20270,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.26841175,-10.26841175,0,0 +20272,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.24292822,-10.24292822,0,0 +20267,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.33181893,-10.33181893,0,0 +20274,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.80153589,-10.80153589,0,0 +20273,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.54231248,-10.54231248,0,0 +20275,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.57742707,-10.57742707,0,0 +20276,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.14146066,-10.14146066,0,0 +20278,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.95222071,-10.95222071,0,0 +20277,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.60382643,-10.60382643,0,0 +20279,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.34756865,-10.34756865,0,0 +20280,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.12242426,-10.12242426,0,0 +20282,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.31821984,-10.31821984,0,0 +20281,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.21560413,-10.21560413,0,0 +20284,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.94392975,-9.94392975,0,0 +20283,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.76189748,-10.76189748,0,0 +20285,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.56103885,-10.56103885,0,0 +20286,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.27719916,-10.27719916,0,0 +20287,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.55073579,-10.55073579,0,0 +20290,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.40138598,-10.40138598,0,0 +20291,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.20808166,-10.20808166,0,0 +20288,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.82336907,-10.82336907,0,0 +20292,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.58741458,-10.58741458,0,0 +20289,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.05979135,-10.05979135,0,0 +20294,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.67597515,-10.67597515,0,0 +20295,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.60790251,-10.60790251,0,0 +20293,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.39075138,-10.39075138,0,0 +20296,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.77947692,-10.77947692,0,0 +20297,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.19182624,-10.19182624,0,0 +20298,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.49324789,-10.49324789,0,0 +20301,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.75739174,-10.75739174,0,0 +20300,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.32659706,-10.32659706,0,0 +20299,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.77495052,-10.77495052,0,0 +20302,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.49586627,-10.49586627,0,0 +20303,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.46915332,-10.46915332,0,0 +20305,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.62567248,-10.62567248,0,0 +20304,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.16062101,-10.16062101,0,0 +20306,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.13944997,-10.13944997,0,0 +20308,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.67229471,-10.67229471,0,0 +20310,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.41953062,-10.41953062,0,0 +20307,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.26825471,-10.26825471,0,0 +20309,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.05945615,-10.05945615,0,0 +20313,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.985280793,-9.985280793,0,0 +20314,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.09016637,-10.09016637,0,0 +20315,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.09468511,-10.09468511,0,0 +20312,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.992382182,-9.992382182,0,0 +20311,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.63014867,-10.63014867,0,0 +20317,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.72231715,-10.72231715,0,0 +20318,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.87380735,-10.87380735,0,0 +20316,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.68321787,-10.68321787,0,0 +20320,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.62554361,-10.62554361,0,0 +20319,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.03025972,-10.03025972,0,0 +20322,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.78152208,-10.78152208,0,0 +20323,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.50256006,-10.50256006,0,0 +20324,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.27352729,-10.27352729,0,0 +20321,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.70516481,-10.70516481,0,0 +20326,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.16082404,-10.16082404,0,0 +20327,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.46947603,-10.46947603,0,0 +20328,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.41786516,-10.41786516,0,0 +20325,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.57535203,-10.57535203,0,0 +20329,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.10307091,-10.10307091,0,0 +20330,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.6769118,-10.6769118,0,0 +20331,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.58737718,-10.58737718,0,0 +20332,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.49668139,-10.49668139,0,0 +20333,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.58325651,-10.58325651,0,0 +20334,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.74351081,-10.74351081,0,0 +20337,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.78140005,-10.78140005,0,0 +20338,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.76882466,-10.76882466,0,0 +20339,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.63020848,-10.63020848,0,0 +20336,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.70494405,-10.70494405,0,0 +20335,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.5217762,-10.5217762,0,0 +20340,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.00486683,-10.00486683,0,0 +20341,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.58167132,-10.58167132,0,0 +20342,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.09602235,-10.09602235,0,0 +20345,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.02886971,-10.02886971,0,0 +20343,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.32321077,-10.32321077,0,0 +20347,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.6542912,-10.6542912,0,0 +20344,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.53172201,-10.53172201,0,0 +20346,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.45702073,-10.45702073,0,0 +20349,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.1688521,-10.1688521,0,0 +20348,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.21617124,-10.21617124,0,0 +20350,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.38216069,-10.38216069,0,0 +20351,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.16050879,-10.16050879,0,0 +20352,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.47388921,-10.47388921,0,0 +20354,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.63145578,-10.63145578,0,0 +20356,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.909671833,-9.909671833,0,0 +20355,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.944459433,-9.944459433,0,0 +20353,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.54629201,-10.54629201,0,0 +20357,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.16615568,-10.16615568,0,0 +20358,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.60631749,-10.60631749,0,0 +20360,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.18276894,-10.18276894,0,0 +20359,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.71064001,-10.71064001,0,0 +20361,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.985395765,-9.985395765,0,0 +20364,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.3420205,-10.3420205,0,0 +20365,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.27126162,-10.27126162,0,0 +20362,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.8096135,-10.8096135,0,0 +20366,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.69764306,-10.69764306,0,0 +20368,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.50902572,-10.50902572,0,0 +20369,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.06787525,-10.06787525,0,0 +20363,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.1729528,-10.1729528,0,0 +20367,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.65583841,-10.65583841,0,0 +20371,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.883407043,-9.883407043,0,0 +20372,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.45629483,-10.45629483,0,0 +20370,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.71818553,-10.71818553,0,0 +20373,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.965396663,-9.965396663,0,0 +20374,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.85764109,-10.85764109,0,0 +20375,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.53169426,-10.53169426,0,0 +20376,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.16543009,-10.16543009,0,0 +20377,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.40506938,-10.40506938,0,0 +20378,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.34297769,-10.34297769,0,0 +20380,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.43304847,-10.43304847,0,0 +20379,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.66955476,-10.66955476,0,0 +20381,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.23280726,-10.23280726,0,0 +20382,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.42206236,-10.42206236,0,0 +20383,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.61223472,-10.61223472,0,0 +20385,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.46224111,-10.46224111,0,0 +20386,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.14201797,-10.14201797,0,0 +20387,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.26883297,-10.26883297,0,0 +20388,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.37657065,-10.37657065,0,0 +20384,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.10375091,-10.10375091,0,0 +20389,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.34768964,-10.34768964,0,0 +20390,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.60469302,-10.60469302,0,0 +20391,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.40011634,-10.40011634,0,0 +20392,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.0788824,-10.0788824,0,0 +20393,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.74400713,-10.74400713,0,0 +20394,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.33963239,-10.33963239,0,0 +20397,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.2129764,-10.2129764,0,0 +20396,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.19054241,-10.19054241,0,0 +20395,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.38988516,-10.38988516,0,0 +20398,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.63162834,-10.63162834,0,0 +20400,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.04591079,-10.04591079,0,0 +20399,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.73246071,-10.73246071,0,0 +20402,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.76205304,-10.76205304,0,0 +20401,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.15658318,-10.15658318,0,0 +20403,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.62782452,-10.62782452,0,0 +20405,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.76293089,-10.76293089,0,0 +20407,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.26856378,-10.26856378,0,0 +20406,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.28779598,-10.28779598,0,0 +20409,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.60676841,-10.60676841,0,0 +20408,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.33642085,-10.33642085,0,0 +20410,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.16427616,-10.16427616,0,0 +20411,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.27952514,-10.27952514,0,0 +20404,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.21667639,-10.21667639,0,0 +20412,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.11139627,-10.11139627,0,0 +20414,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.47173802,-10.47173802,0,0 +20413,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.961684777,-9.961684777,0,0 +20415,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.5551167,-10.5551167,0,0 +20417,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.28829724,-10.28829724,0,0 +20416,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.13439799,-10.13439799,0,0 +20418,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.959659984,-9.959659984,0,0 +20419,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.37011815,-10.37011815,0,0 +20420,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.54351826,-10.54351826,0,0 +20421,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.50441854,-10.50441854,0,0 +20422,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.12558362,-10.12558362,0,0 +20424,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.29017469,-10.29017469,0,0 +20426,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.2081013,-10.2081013,0,0 +20425,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.06114204,-10.06114204,0,0 +20423,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.67858153,-10.67858153,0,0 +20428,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.05140278,-10.05140278,0,0 +20429,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.972111932,-9.972111932,0,0 +20427,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.25251008,-10.25251008,0,0 +20430,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.78196696,-10.78196696,0,0 +20433,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.20749045,-10.20749045,0,0 +20432,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.40926365,-10.40926365,0,0 +20431,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.54490271,-10.54490271,0,0 +20434,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.81921751,-10.81921751,0,0 +20435,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.39023066,-10.39023066,0,0 +20436,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.56458105,-10.56458105,0,0 +20438,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.02344827,-10.02344827,0,0 +20440,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.08205601,-10.08205601,0,0 +20439,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.32512801,-10.32512801,0,0 +20441,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.70370321,-10.70370321,0,0 +20442,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.80942837,-10.80942837,0,0 +20437,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.15889675,-10.15889675,0,0 +20443,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.58761729,-10.58761729,0,0 +20444,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.47324798,-10.47324798,0,0 +20445,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.39859109,-10.39859109,0,0 +20449,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.57349982,-10.57349982,0,0 +20446,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.70480131,-10.70480131,0,0 +20447,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.5148831,-10.5148831,0,0 +20451,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.723159,-10.723159,0,0 +20448,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.62702826,-10.62702826,0,0 +20450,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.989146593,-9.989146593,0,0 +20452,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.24117743,-10.24117743,0,0 +20453,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.47632126,-10.47632126,0,0 +20455,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.26999014,-10.26999014,0,0 +20456,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.05493721,-10.05493721,0,0 +20454,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.981683763,-9.981683763,0,0 +20458,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.46741695,-10.46741695,0,0 +20459,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.7095127,-10.7095127,0,0 +20460,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.54281702,-10.54281702,0,0 +20461,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.7516133,-10.7516133,0,0 +20457,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.20247948,-10.20247948,0,0 +20462,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.03137454,-10.03137454,0,0 +20464,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.04496908,-10.04496908,0,0 +20463,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.65771588,-10.65771588,0,0 +20465,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.14467582,-10.14467582,0,0 +20466,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.60209405,-10.60209405,0,0 +20467,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.26992682,-10.26992682,0,0 +20469,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.77943247,-10.77943247,0,0 +20468,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.33504255,-10.33504255,0,0 +20470,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.71333038,-10.71333038,0,0 +20471,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.67745405,-10.67745405,0,0 +20473,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.16433769,-10.16433769,0,0 +20474,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.78342353,-10.78342353,0,0 +20472,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.69664743,-10.69664743,0,0 +20475,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.07761382,-10.07761382,0,0 +20477,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.65121963,-10.65121963,0,0 +20479,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.94953021,-9.94953021,0,0 +20476,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.37545663,-10.37545663,0,0 +20478,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.5261844,-10.5261844,0,0 +20480,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.36242938,-10.36242938,0,0 +20482,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.22827432,-10.22827432,0,0 +20481,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.19653023,-10.19653023,0,0 +20483,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.31976788,-10.31976788,0,0 +20484,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.08534385,-10.08534385,0,0 +20485,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.32596971,-10.32596971,0,0 +20486,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.50094456,-10.50094456,0,0 +20487,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.31212833,-10.31212833,0,0 +20488,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.72439528,-10.72439528,0,0 +20490,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.74480923,-10.74480923,0,0 +20489,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.23173221,-10.23173221,0,0 +20491,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.77267797,-10.77267797,0,0 +20495,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.38468065,-10.38468065,0,0 +20492,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.83326939,-10.83326939,0,0 +20496,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.87171931,-10.87171931,0,0 +20493,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.7422969,-10.7422969,0,0 +20498,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.06589619,-10.06589619,0,0 +20494,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.62119692,-10.62119692,0,0 +20497,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.02266196,-10.02266196,0,0 +20499,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.61461126,-10.61461126,0,0 +20501,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.04475046,-10.04475046,0,0 +20500,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.53199508,-10.53199508,0,0 +20502,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.47902089,-10.47902089,0,0 +20503,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.63873843,-10.63873843,0,0 +20504,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.18276559,-10.18276559,0,0 +20506,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.81903456,-10.81903456,0,0 +20507,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.72563317,-10.72563317,0,0 +20505,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.00022544,-10.00022544,0,0 +20508,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.5789879,-10.5789879,0,0 +20509,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.60873528,-10.60873528,0,0 +20510,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.79276405,-10.79276405,0,0 +20512,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.0877816,-10.0877816,0,0 +20513,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.40402279,-10.40402279,0,0 +20511,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.79239734,-10.79239734,0,0 +20514,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.04510506,-10.04510506,0,0 +20516,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.41202361,-10.41202361,0,0 +20515,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.18912518,-10.18912518,0,0 +20517,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.55001949,-10.55001949,0,0 +20519,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.68497651,-10.68497651,0,0 +20518,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.3349609,-10.3349609,0,0 +20521,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.11444303,-10.11444303,0,0 +20522,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.40600087,-10.40600087,0,0 +20520,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.75451316,-10.75451316,0,0 +20523,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.00484178,-10.00484178,0,0 +20525,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.70108739,-10.70108739,0,0 +20524,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.31575493,-10.31575493,0,0 +20527,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.62724417,-10.62724417,0,0 +20526,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.08108836,-10.08108836,0,0 +20528,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.909997077,-9.909997077,0,0 +20530,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.59237327,-10.59237327,0,0 +20529,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.51666865,-10.51666865,0,0 +20531,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.39810632,-10.39810632,0,0 +20534,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.2478184,-10.2478184,0,0 +20532,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.55990951,-10.55990951,0,0 +20535,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.69406953,-10.69406953,0,0 +20533,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.48731334,-10.48731334,0,0 +20538,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.59360708,-10.59360708,0,0 +20536,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.70453671,-10.70453671,0,0 +20537,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.74218134,-10.74218134,0,0 +20539,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.01766796,-10.01766796,0,0 +20541,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.28487047,-10.28487047,0,0 +20540,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.3512766,-10.3512766,0,0 +20542,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.3446956,-10.3446956,0,0 +20543,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.78229272,-10.78229272,0,0 +20545,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.30564594,-10.30564594,0,0 +20544,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.85324895,-10.85324895,0,0 +20546,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.60458466,-10.60458466,0,0 +20547,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.44638618,-10.44638618,0,0 +20548,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.0293619,-10.0293619,0,0 +20549,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.68271138,-10.68271138,0,0 +20550,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.982242311,-9.982242311,0,0 +20553,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.03181521,-10.03181521,0,0 +20552,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.07339529,-10.07339529,0,0 +20554,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.17341433,-10.17341433,0,0 +20556,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.6922619,-10.6922619,0,0 +20557,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.43034121,-10.43034121,0,0 +20551,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.35062729,-10.35062729,0,0 +20555,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.00240846,-10.00240846,0,0 +20558,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.36928144,-10.36928144,0,0 +20560,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.29056625,-10.29056625,0,0 +20559,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.3420625,-10.3420625,0,0 +20561,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.35520526,-10.35520526,0,0 +20562,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.13689168,-10.13689168,0,0 +20563,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.37173446,-10.37173446,0,0 +20565,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.41001761,-10.41001761,0,0 +20566,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.2088338,-10.2088338,0,0 +20564,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.46543221,-10.46543221,0,0 +20567,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.66675512,-10.66675512,0,0 +20568,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.18401753,-10.18401753,0,0 +20569,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.10736988,-10.10736988,0,0 +20570,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.3840281,-10.3840281,0,0 +20572,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.54801808,-10.54801808,0,0 +20571,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.63863352,-10.63863352,0,0 +20573,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.06020163,-10.06020163,0,0 +20574,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.39264502,-10.39264502,0,0 +20575,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.01927792,-10.01927792,0,0 +20576,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.4308084,-10.4308084,0,0 +20577,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.981971482,-9.981971482,0,0 +20578,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.76966956,-10.76966956,0,0 +20579,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.57947581,-10.57947581,0,0 +20580,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.24944698,-10.24944698,0,0 +20581,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.20772149,-10.20772149,0,0 +20583,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.06879382,-10.06879382,0,0 +20582,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.00170118,-10.00170118,0,0 +20584,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.52866802,-10.52866802,0,0 +20585,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.59034406,-10.59034406,0,0 +20587,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.53018326,-10.53018326,0,0 +20588,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.49861788,-10.49861788,0,0 +20589,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.80065832,-10.80065832,0,0 +20586,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.38150604,-10.38150604,0,0 +20593,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.45628925,-10.45628925,0,0 +20592,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.63672819,-10.63672819,0,0 +20590,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.32134085,-10.32134085,0,0 +20591,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.59677628,-10.59677628,0,0 +20596,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.917651073,-9.917651073,0,0 +20594,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.44844471,-10.44844471,0,0 +20595,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.02262019,-10.02262019,0,0 +20597,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.60834737,-10.60834737,0,0 +20598,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.08333079,-10.08333079,0,0 +20599,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.86851695,-10.86851695,0,0 +20600,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.56647746,-10.56647746,0,0 +20601,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.39853587,-10.39853587,0,0 +20603,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.96254597,-9.96254597,0,0 +20604,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.91247778,-10.91247778,0,0 +20602,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.39189974,-10.39189974,0,0 +20606,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.09354703,-10.09354703,0,0 +20607,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.69181236,-10.69181236,0,0 +20605,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.61187382,-10.61187382,0,0 +20608,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.45659259,-10.45659259,0,0 +20611,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.67181244,-10.67181244,0,0 +20610,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.51741861,-10.51741861,0,0 +20613,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.76337406,-10.76337406,0,0 +20612,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.53892872,-10.53892872,0,0 +20615,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.13309719,-10.13309719,0,0 +20609,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.35149884,-10.35149884,0,0 +20614,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.76646148,-10.76646148,0,0 +20616,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.31029561,-10.31029561,0,0 +20618,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.969323825,-9.969323825,0,0 +20621,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.29070726,-10.29070726,0,0 +20620,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.09775149,-10.09775149,0,0 +20617,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.43677666,-10.43677666,0,0 +20619,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.3760479,-10.3760479,0,0 +20622,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.80573382,-10.80573382,0,0 +20624,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.69527488,-10.69527488,0,0 +20623,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.18027713,-10.18027713,0,0 +20625,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.50019754,-10.50019754,0,0 +20626,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.45419468,-10.45419468,0,0 +20627,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.72154531,-10.72154531,0,0 +20628,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.63721385,-10.63721385,0,0 +20629,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.4581859,-10.4581859,0,0 +20631,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.30476663,-10.30476663,0,0 +20632,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.45375324,-10.45375324,0,0 +20630,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.5271643,-10.5271643,0,0 +20633,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.38813796,-10.38813796,0,0 +20635,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.06580182,-10.06580182,0,0 +20634,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.57843382,-10.57843382,0,0 +20636,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.25078962,-10.25078962,0,0 +20637,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.62099778,-10.62099778,0,0 +20638,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.04289888,-10.04289888,0,0 +20639,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.6461621,-10.6461621,0,0 +20640,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.50005035,-10.50005035,0,0 +20642,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.26552714,-10.26552714,0,0 +20644,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.78936961,-10.78936961,0,0 +20645,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.67517114,-10.67517114,0,0 +20641,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.19101656,-10.19101656,0,0 +20646,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.13570819,-10.13570819,0,0 +20643,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.49382476,-10.49382476,0,0 +20647,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.26267878,-10.26267878,0,0 +20649,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.66465426,-10.66465426,0,0 +20650,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.51271958,-10.51271958,0,0 +20651,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.31465752,-10.31465752,0,0 +20652,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.57268306,-10.57268306,0,0 +20653,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.20023852,-10.20023852,0,0 +20648,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.29748336,-10.29748336,0,0 +20654,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.09306508,-10.09306508,0,0 +20655,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.75530403,-10.75530403,0,0 +20656,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.60401119,-10.60401119,0,0 +20657,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.06635901,-10.06635901,0,0 +20658,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.21952785,-10.21952785,0,0 +20659,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.39082298,-10.39082298,0,0 +20660,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.67368323,-10.67368323,0,0 +20661,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.77085693,-10.77085693,0,0 +20662,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.946540676,-9.946540676,0,0 +20663,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.27464719,-10.27464719,0,0 +20664,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.10806383,-10.10806383,0,0 +20665,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.16734313,-10.16734313,0,0 +20668,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.3602223,-10.3602223,0,0 +20666,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.06270806,-10.06270806,0,0 +20667,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.41475339,-10.41475339,0,0 +20670,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.46481965,-10.46481965,0,0 +20669,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.05433518,-10.05433518,0,0 +20672,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.77355081,-10.77355081,0,0 +20671,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.7315972,-10.7315972,0,0 +20673,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.20497348,-10.20497348,0,0 +20674,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.56319922,-10.56319922,0,0 +20675,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.35902549,-10.35902549,0,0 +20676,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.67899647,-10.67899647,0,0 +20677,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.905178647,-9.905178647,0,0 +20678,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.71432521,-10.71432521,0,0 +20680,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.93342307,-10.93342307,0,0 +20679,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.37130584,-10.37130584,0,0 +20682,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.51843892,-10.51843892,0,0 +20683,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.01422156,-10.01422156,0,0 +20681,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.938102997,-9.938102997,0,0 +20684,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.29063059,-10.29063059,0,0 +20687,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.04613559,-10.04613559,0,0 +20688,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.58384215,-10.58384215,0,0 +20685,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.18926357,-10.18926357,0,0 +20689,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.48014758,-10.48014758,0,0 +20686,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.13886207,-10.13886207,0,0 +20692,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.44646071,-10.44646071,0,0 +20691,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.2287864,-10.2287864,0,0 +20690,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.47611102,-10.47611102,0,0 +20693,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.82289559,-10.82289559,0,0 +20694,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.31817104,-10.31817104,0,0 +20695,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.09135225,-10.09135225,0,0 +20699,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.45022298,-10.45022298,0,0 +20700,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.74939318,-10.74939318,0,0 +20696,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.65080612,-10.65080612,0,0 +20698,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.07164934,-10.07164934,0,0 +20697,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.02094385,-10.02094385,0,0 +20702,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.28865169,-10.28865169,0,0 +20701,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.6992741,-10.6992741,0,0 +20703,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.21339399,-10.21339399,0,0 +20704,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.5934656,-10.5934656,0,0 +20705,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.17083727,-10.17083727,0,0 +20706,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.980699043,-9.980699043,0,0 +20707,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.71632284,-10.71632284,0,0 +20709,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.38834252,-10.38834252,0,0 +20710,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.54778031,-10.54778031,0,0 +20711,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.25040619,-10.25040619,0,0 +20712,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.79519309,-10.79519309,0,0 +20708,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.32811138,-10.32811138,0,0 +20713,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.73543009,-10.73543009,0,0 +20714,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.04427209,-10.04427209,0,0 +20715,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.930700797,-9.930700797,0,0 +20716,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.04590262,-10.04590262,0,0 +20717,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.69446749,-10.69446749,0,0 +20718,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.20461203,-10.20461203,0,0 +20719,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.34195533,-10.34195533,0,0 +20721,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.47063678,-10.47063678,0,0 +20722,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.09252881,-10.09252881,0,0 +20720,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.48270071,-10.48270071,0,0 +20723,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.58683448,-10.58683448,0,0 +20724,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.64105352,-10.64105352,0,0 +20725,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.42391328,-10.42391328,0,0 +20726,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.0511346,-10.0511346,0,0 +20727,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.16247987,-10.16247987,0,0 +20728,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.33779444,-10.33779444,0,0 +20729,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.0389901,-10.0389901,0,0 +20731,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.31540419,-10.31540419,0,0 +20730,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.80985358,-10.80985358,0,0 +20732,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.14090889,-10.14090889,0,0 +20734,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.41555591,-10.41555591,0,0 +20733,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.67656464,-10.67656464,0,0 +20736,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.57542145,-10.57542145,0,0 +20735,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.69151988,-10.69151988,0,0 +20737,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.04085364,-10.04085364,0,0 +20738,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.26579639,-10.26579639,0,0 +20742,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.48935895,-10.48935895,0,0 +20740,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.50058919,-10.50058919,0,0 +20743,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.08471614,-10.08471614,0,0 +20744,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.56047349,-10.56047349,0,0 +20741,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.13417078,-10.13417078,0,0 +20739,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.48613384,-10.48613384,0,0 +20745,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.19579059,-10.19579059,0,0 +20746,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.33473238,-10.33473238,0,0 +20747,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.68945491,-10.68945491,0,0 +20749,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.57869717,-10.57869717,0,0 +20750,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.4428461,-10.4428461,0,0 +20751,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.4993864,-10.4993864,0,0 +20748,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.942443677,-9.942443677,0,0 +20752,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.53553995,-10.53553995,0,0 +20753,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.49247264,-10.49247264,0,0 +20754,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.45907945,-10.45907945,0,0 +20755,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.55073015,-10.55073015,0,0 +20757,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.9428076,-9.9428076,0,0 +20756,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.79534384,-10.79534384,0,0 +20759,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.02600507,-10.02600507,0,0 +20761,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.67260116,-10.67260116,0,0 +20758,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.24362507,-10.24362507,0,0 +20762,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.50428286,-10.50428286,0,0 +20760,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.998523542,-9.998523542,0,0 +20763,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.47229325,-10.47229325,0,0 +20765,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.30917149,-10.30917149,0,0 +20764,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.23945368,-10.23945368,0,0 +20766,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.70923437,-10.70923437,0,0 +20767,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.3208888,-10.3208888,0,0 +20768,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.52827419,-10.52827419,0,0 +20769,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.46959553,-10.46959553,0,0 +20770,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.925324682,-9.925324682,0,0 +20771,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.23027649,-10.23027649,0,0 +20774,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.982549673,-9.982549673,0,0 +20773,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.47908547,-10.47908547,0,0 +20775,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.21870307,-10.21870307,0,0 +20772,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.21943097,-10.21943097,0,0 +20777,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.26140408,-10.26140408,0,0 +20776,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.51216414,-10.51216414,0,0 +20779,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.3825576,-10.3825576,0,0 +20781,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.61791813,-10.61791813,0,0 +20782,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.53383614,-10.53383614,0,0 +20778,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.55755812,-10.55755812,0,0 +20783,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.07844634,-10.07844634,0,0 +20784,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.960465265,-9.960465265,0,0 +20785,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.77101103,-10.77101103,0,0 +20780,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.33584023,-10.33584023,0,0 +20787,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.15339955,-10.15339955,0,0 +20786,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.09065997,-10.09065997,0,0 +20788,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.61357787,-10.61357787,0,0 +20789,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.40298823,-10.40298823,0,0 +20791,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.42803273,-10.42803273,0,0 +20792,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.29187251,-10.29187251,0,0 +20790,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.09412048,-10.09412048,0,0 +20793,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.7581448,-10.7581448,0,0 +20795,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.01785293,-10.01785293,0,0 +20794,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.77490681,-10.77490681,0,0 +20796,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.3053427,-10.3053427,0,0 +20798,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.40364456,-10.40364456,0,0 +20797,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.39166183,-10.39166183,0,0 +20799,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.60590118,-10.60590118,0,0 +20800,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.76294576,-10.76294576,0,0 +20801,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.21518098,-10.21518098,0,0 +20802,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.78333799,-10.78333799,0,0 +20804,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.58592924,-10.58592924,0,0 +20803,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.57724371,-10.57724371,0,0 +20805,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.02029697,-10.02029697,0,0 +20806,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.64407567,-10.64407567,0,0 +20807,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.53111379,-10.53111379,0,0 +20809,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.11852971,-10.11852971,0,0 +20808,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.15608911,-10.15608911,0,0 +20810,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.24134473,-10.24134473,0,0 +20812,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.60797461,-10.60797461,0,0 +20813,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.8129214,-10.8129214,0,0 +20816,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.18666451,-10.18666451,0,0 +20815,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.59581387,-10.59581387,0,0 +20817,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.46656188,-10.46656188,0,0 +20811,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.983733676,-9.983733676,0,0 +20818,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.28304757,-10.28304757,0,0 +20819,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.50643075,-10.50643075,0,0 +20814,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.1940713,-10.1940713,0,0 +20820,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.39702767,-10.39702767,0,0 +20822,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.75271301,-10.75271301,0,0 +20824,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.997462805,-9.997462805,0,0 +20821,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.4162779,-10.4162779,0,0 +20825,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.16848606,-10.16848606,0,0 +20826,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.46752655,-10.46752655,0,0 +20823,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.88433324,-9.88433324,0,0 +20828,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.3033364,-10.3033364,0,0 +20831,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.52743266,-10.52743266,0,0 +20827,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.78758324,-10.78758324,0,0 +20830,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.00791556,-10.00791556,0,0 +20832,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.24585833,-10.24585833,0,0 +20829,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.39897139,-10.39897139,0,0 +20833,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.1729955,-10.1729955,0,0 +20834,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.40499464,-10.40499464,0,0 +20835,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.05745685,-10.05745685,0,0 +20838,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.228199,-10.228199,0,0 +20836,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.09909512,-10.09909512,0,0 +20839,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.09651667,-10.09651667,0,0 +20837,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.03980876,-10.03980876,0,0 +20840,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.31760228,-10.31760228,0,0 +20841,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.61057949,-10.61057949,0,0 +20842,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.01901494,-10.01901494,0,0 +20843,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.42005915,-10.42005915,0,0 +20844,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.33615868,-10.33615868,0,0 +20845,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.30012261,-10.30012261,0,0 +20846,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.45615476,-10.45615476,0,0 +20848,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.55707829,-10.55707829,0,0 +20849,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.16016117,-10.16016117,0,0 +20850,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.31642488,-10.31642488,0,0 +20847,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.22438329,-10.22438329,0,0 +20852,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.26168405,-10.26168405,0,0 +20854,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.73349276,-10.73349276,0,0 +20855,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.64814488,-10.64814488,0,0 +20851,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.19109861,-10.19109861,0,0 +20857,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.07928216,-10.07928216,0,0 +20856,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.07070282,-10.07070282,0,0 +20853,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.72391501,-10.72391501,0,0 +20858,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.70504856,-10.70504856,0,0 +20859,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.22999087,-10.22999087,0,0 +20860,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.76660416,-10.76660416,0,0 +20862,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.24906653,-10.24906653,0,0 +20864,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.06391518,-10.06391518,0,0 +20865,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.08301866,-10.08301866,0,0 +20861,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.79514668,-10.79514668,0,0 +20863,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.49916047,-10.49916047,0,0 +20867,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.66829652,-10.66829652,0,0 +20866,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.60335709,-10.60335709,0,0 +20868,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.62481787,-10.62481787,0,0 +20871,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.24225426,-10.24225426,0,0 +20869,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.50764254,-10.50764254,0,0 +20873,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.40993667,-10.40993667,0,0 +20872,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.813986,-10.813986,0,0 +20870,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.31914489,-10.31914489,0,0 +20874,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.05010046,-10.05010046,0,0 +20875,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.5249852,-10.5249852,0,0 +20876,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.49663896,-10.49663896,0,0 +20877,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.58412217,-10.58412217,0,0 +20878,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.954299205,-9.954299205,0,0 +20880,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.5038156,-10.5038156,0,0 +20881,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.77412616,-10.77412616,0,0 +20879,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.51772819,-10.51772819,0,0 +20884,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.492693,-10.492693,0,0 +20882,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.293782,-10.293782,0,0 +20885,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.60036335,-10.60036335,0,0 +20883,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.07530598,-10.07530598,0,0 +20886,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.28211189,-10.28211189,0,0 +20888,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.37141168,-10.37141168,0,0 +20889,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.20133134,-10.20133134,0,0 +20887,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.13692889,-10.13692889,0,0 +20890,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.938300734,-9.938300734,0,0 +20893,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.01875796,-10.01875796,0,0 +20894,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.38603044,-10.38603044,0,0 +20892,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.4919509,-10.4919509,0,0 +20895,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.28154284,-10.28154284,0,0 +20897,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.72931271,-10.72931271,0,0 +20891,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.14532119,-10.14532119,0,0 +20898,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.2924179,-10.2924179,0,0 +20896,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.64555964,-10.64555964,0,0 +20899,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.07007042,-10.07007042,0,0 +20900,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.19236516,-10.19236516,0,0 +20901,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.67788683,-10.67788683,0,0 +20902,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.11610477,-10.11610477,0,0 +20904,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.75178765,-10.75178765,0,0 +20905,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.52964969,-10.52964969,0,0 +20903,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.57111862,-10.57111862,0,0 +20906,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.81304077,-10.81304077,0,0 +20907,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.07270193,-10.07270193,0,0 +20908,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.67016399,-10.67016399,0,0 +20910,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.516563,-10.516563,0,0 +20909,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.05467695,-10.05467695,0,0 +20912,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.47290664,-10.47290664,0,0 +20913,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.68653284,-10.68653284,0,0 +20911,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.11045311,-10.11045311,0,0 +20915,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.96110111,-9.96110111,0,0 +20916,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.61806643,-10.61806643,0,0 +20914,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.84089314,-10.84089314,0,0 +20918,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.68295748,-10.68295748,0,0 +20917,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.36807323,-10.36807323,0,0 +20919,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.75088953,-10.75088953,0,0 +20921,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.55982808,-10.55982808,0,0 +20922,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.35604593,-10.35604593,0,0 +20920,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.7323963,-10.7323963,0,0 +20924,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.68502568,-10.68502568,0,0 +20923,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.44660656,-10.44660656,0,0 +20926,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.5142585,-10.5142585,0,0 +20925,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.28681878,-10.28681878,0,0 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Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.11886135,-10.11886135,0,0 +20937,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.68153806,-10.68153806,0,0 +20938,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.1035319,-10.1035319,0,0 +20936,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.32876623,-10.32876623,0,0 +20943,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.03074871,-10.03074871,0,0 +20942,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.82956605,-10.82956605,0,0 +20940,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.24787936,-10.24787936,0,0 +20941,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.895438969,-9.895438969,0,0 +20939,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.43913924,-10.43913924,0,0 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Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.71497451,-10.71497451,0,0 +20953,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.09053766,-10.09053766,0,0 +20955,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.27181139,-10.27181139,0,0 +20956,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.45607443,-10.45607443,0,0 +20957,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.71445806,-10.71445806,0,0 +20958,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.73087689,-10.73087689,0,0 +20954,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.22922173,-10.22922173,0,0 +20959,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-10.46918974,-10.46918974,0,0 +20961,1,Indifferent Majority vs. Passionate Minority,1001,0,0,10,1,0,TRUE,10,1,10,1,-9.94172224,-9.94172224,0,0 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b/data-analysis/analysis-future-work/future-work-data/multi-QV-with-Polling correlate-n-issues-table.csv @@ -0,0 +1,210001 @@ +[run number],vote-portion-strategic,number-of-voters,perceived-utility-stdev,proportion-of-strategic-voters,minority-power,y-axis,x-axis,QV?,number-of-issues,utility-distribution,issues-correlation,correlate-n-issues,[step],mean total-payoff-per-issue,average payoff +2,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.384023739,1 +3,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.799334846,1 +4,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.43586807,1 +6,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.399131027,1 +7,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.868933494,1 +5,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.586967165,1 +10,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.807830657,1 +11,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.527988471,1 +8,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.888821604,1 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+66,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.282730544,1 +72,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.353857011,1 +73,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.970594285,1 +74,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.082914006,1 +77,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.357334868,1 +76,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.132673876,1 +70,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.539815653,1 +78,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.264450573,1 +75,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.373244769,1 +79,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.568089223,1 +82,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.000055222,1 +81,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,2.567346511,1 +83,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,2.367999718,1 +80,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.790868908,1 +84,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.203032222,1 +85,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.995415222,1 +86,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.825832223,1 +88,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.883216823,1 +89,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.286418237,1 +90,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.734696611,1 +87,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.575303988,1 +92,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.398711611,1 +91,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.854726376,1 +93,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.906004719,1 +96,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.20937237,1 +97,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.006723375,1 +98,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.253780561,1 +95,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.351639033,1 +99,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.969953086,1 +100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,7.267078848,1 +94,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.152311006,1 +102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.026714861,1 +103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.160745479,1 +101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.035675222,1 +105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.268800612,1 +106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.295800128,1 +107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.194062637,1 +104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.379991514,1 +108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.472085136,1 +110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.077878501,1 +109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.258571023,1 +112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.18137846,1 +114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.150815939,1 +113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.81461228,1 +116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.906415727,1 +115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.525362626,1 +111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.380308481,1 +119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.925744508,1 +118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.935527835,1 +117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.935457651,1 +121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.721733624,1 +123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.87958295,1 +122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.583513471,1 +120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.346742342,1 +124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.821620827,1 +126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.579953979,1 +125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.519725833,1 +129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.525033294,1 +130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.671528963,1 +128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.305265798,1 +133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.480757216,1 +131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.864336345,1 +132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.910873274,1 +127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.309946015,1 +135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.907483644,1 +136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.682806484,1 +138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.515377266,1 +134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.577358319,1 +139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.903569559,1 +137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.65907788,1 +140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.268008815,1 +142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,8.074953183,1 +144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.596915489,1 +141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.142389543,1 +145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.294268104,1 +146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.31159733,1 +147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.744319068,1 +149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.452855497,1 +143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.663246227,1 +150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,2.15233216,1 +148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.175554089,1 +151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.936777831,1 +153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.310326384,1 +154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.55130055,1 +152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.392430798,1 +156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.90773637,1 +157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.104750595,1 +155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.229121741,1 +159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.55401147,1 +160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.982798996,1 +161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.789156871,1 +162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.751008387,1 +164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.612018613,1 +158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.159072223,1 +165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.757255541,1 +166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.610905863,1 +163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.854616977,1 +168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.175998183,1 +170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.684415984,1 +171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.141929748,1 +169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.885310533,1 +172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,7.319552702,1 +167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.19313569,1 +174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.138274031,1 +173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.16843797,1 +175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.095646004,1 +178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.181630697,1 +177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.759664304,1 +179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,7.911701355,1 +180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.70031907,1 +181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.017760817,1 +176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.420799408,1 +184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.379735334,1 +182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.538967529,1 +183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.159225163,1 +187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,7.861537186,1 +186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.221034574,1 +188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.715060481,1 +189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.187207605,1 +190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.454427005,1 +185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,8.42376442,1 +191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.848124687,1 +192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.446368332,1 +193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.640413687,1 +195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.714659892,1 +197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.775246069,1 +196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.552706243,1 +194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.641615932,1 +200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,8.401564626,1 +198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.32930899,1 +199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,2.595966684,1 +202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.304906634,1 +203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.734286777,1 +204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.331417552,1 +205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.369990106,1 +206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.833235564,1 +207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.66688981,1 +208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.693615309,1 +201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.079887743,1 +209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.438180397,1 +210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.993099538,1 +213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.155577292,1 +211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.899476962,1 +212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.946421914,1 +216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.244719147,1 +214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.359321126,1 +218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,7.674615712,1 +215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.566537063,1 +219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.32699481,1 +220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.207452964,1 +222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.20972999,1 +221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.372311736,1 +224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.094910312,1 +223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.443897324,1 +225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.724678506,1 +226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.873419993,1 +217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.292036229,1 +227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.773887705,1 +228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.56992048,1 +231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,7.262708608,1 +229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.296684075,1 +233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.905592969,1 +230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.245329847,1 +234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.054702304,1 +232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.234060059,1 +235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.880558926,1 +236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.978616619,1 +238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.410945865,1 +239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.474026404,1 +240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,8.076100768,1 +242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.334875312,1 +237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.766636356,1 +241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.856974826,1 +244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.190917286,1 +243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.721323279,1 +246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.204015826,1 +245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.059813912,1 +248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,7.342252306,1 +249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.626022748,1 +251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.560069568,1 +247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.826955958,1 +252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.951759654,1 +253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.272535028,1 +254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.855891255,1 +255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.871952107,1 +257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,7.27022467,1 +258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.039496086,1 +259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.934563818,1 +250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.106492183,1 +256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.908355432,1 +260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.104244858,1 +263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,7.229627673,1 +264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.558926646,1 +265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.394434103,1 +262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.106570076,1 +266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.463976231,1 +261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.163198585,1 +267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.880488192,1 +270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.807915361,1 +271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.245999459,1 +268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.768750585,1 +272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,2.914669558,1 +269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.486175498,1 +273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.060883624,1 +275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.296696593,1 +276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.760923103,1 +277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.328294673,1 +279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.70503262,1 +280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.855307243,1 +281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.633214751,1 +274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,2.879628882,1 +278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,7.023437959,1 +282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.286673137,1 +285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.290785997,1 +283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.71031794,1 +286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.537073179,1 +287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.710881048,1 +284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.658430789,1 +288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.40459438,1 +290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,10.10971981,1 +289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.00924174,1 +292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.68017382,1 +293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.576156428,1 +294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.088688976,1 +295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.169793784,1 +297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,2.852612733,1 +291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.329871711,1 +296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,7.864108798,1 +298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.314104842,1 +299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,7.084500627,1 +301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.698393329,1 +302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,2.923243724,1 +304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.623579386,1 +305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.450967639,1 +300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.839784568,1 +306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.935018053,1 +307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.721279202,1 +303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.990848347,1 +310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.847670164,1 +311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.778391053,1 +309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.615926429,1 +313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.27487442,1 +314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.154823737,1 +315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.317206311,1 +316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.759979699,1 +308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.221818876,1 +312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.759338214,1 +318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.464232665,1 +320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,8.031996961,1 +317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.11643182,1 +319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.362728872,1 +321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,7.546308551,1 +322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.802166661,1 +323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.813600076,1 +326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.94813504,1 +325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.476235304,1 +327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.83706557,1 +329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.814546125,1 +324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.862411493,1 +330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.259188203,1 +331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.135053191,1 +333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.315223481,1 +328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.596478129,1 +334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.421266215,1 +336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.474872875,1 +332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.601382754,1 +335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.751764645,1 +338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.187237906,1 +337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,7.169558441,1 +341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.047769069,1 +340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.179269328,1 +342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.679195784,1 +344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.027530794,1 +343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.655115366,1 +339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.805626064,1 +346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.56072983,1 +345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.592827677,1 +350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.066799246,1 +347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.183400031,1 +349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.772777372,1 +351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,8.002379971,1 +352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,7.094306561,1 +348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.800116242,1 +353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.611536237,1 +354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.551139568,1 +355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.773267159,1 +357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.870288671,1 +358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.391014715,1 +356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.409077213,1 +359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.401957553,1 +360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.942858085,1 +362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.220406282,1 +364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.864269384,1 +365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.5256426,1 +363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.292500432,1 +368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.383246486,1 +366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.610437431,1 +367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.728447747,1 +361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.553047918,1 +370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.41992741,1 +369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.416948253,1 +371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.544774033,1 +373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.042039628,1 +374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.539560525,1 +375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.437226701,1 +376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.390061303,1 +372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.975644576,1 +378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,7.480556378,1 +377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.709768373,1 +379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.064453546,1 +381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.327955927,1 +382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,7.16171383,1 +380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.216479079,1 +383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.699875132,1 +384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.318881955,1 +386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.109585041,1 +388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.785201456,1 +387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.777776589,1 +389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.873822261,1 +390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.118583414,1 +391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.49792651,1 +392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.747901214,1 +394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.535985069,1 +385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.010557723,1 +396,1,1001,0,0,0,1,0,TRUE,10,Normal mean 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mean = 0,-1,1,1,5.222978055,1 +405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.820132566,1 +411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.241664617,1 +412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.199512465,1 +415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.399754045,1 +414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.332276323,1 +413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.897464159,1 +416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.908858611,1 +417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.990267471,1 +420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.969197836,1 +418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.430262604,1 +421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.327911522,1 +419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.433354394,1 +422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.64778887,1 +423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.69785867,1 +425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.836835608,1 +424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.479612928,1 +426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.132210754,1 +427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.663014341,1 +428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.125510291,1 +429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.328129717,1 +430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.895999186,1 +433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.607109137,1 +434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.615572412,1 +431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.692511763,1 +435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,7.242700973,1 +436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.237084121,1 +437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.449879054,1 +432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.781678985,1 +438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.029160376,1 +439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.493226052,1 +440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,8.554818303,1 +442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.744144526,1 +443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.031261833,1 +441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.986499075,1 +444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.530534502,1 +445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.427878069,1 +446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.652664847,1 +447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.102999478,1 +448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,7.119721405,1 +451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.232159673,1 +450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.535043796,1 +449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.605981654,1 +452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.885623717,1 +454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.263794578,1 +455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.609951037,1 +453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.540757479,1 +456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.442898704,1 +457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.700057121,1 +459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.13323194,1 +460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.527207342,1 +461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,2.611734238,1 +463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.291071808,1 +462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.018992691,1 +464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.458138378,1 +458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.494724333,1 +465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.59529181,1 +466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.900743909,1 +467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.267086599,1 +469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.56784546,1 +470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.393545346,1 +468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.456619639,1 +472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,7.215770389,1 +473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.180738433,1 +471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.449496896,1 +474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.931634725,1 +476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.537607668,1 +475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.438792629,1 +477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.347815969,1 +480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.776910048,1 +479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.249981937,1 +481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.292217375,1 +478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.757762999,1 +484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.33256942,1 +482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.83976163,1 +485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.24057808,1 +483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.547971101,1 +486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.214988135,1 +487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.315547606,1 +488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.340514823,1 +489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.546156535,1 +491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.490521645,1 +490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.214539718,1 +493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.335707386,1 +492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.869826111,1 +494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,2.363330767,1 +495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.81359323,1 +496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.699998979,1 +497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.926775244,1 +499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.043212775,1 +500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.149942197,1 +498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.417757671,1 +502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.677018226,1 +501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.799334154,1 +503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.294376601,1 +505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.98924396,1 +504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.075463604,1 +506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.044033147,1 +507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,2.301962335,1 +508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.215056163,1 +509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.065442268,1 +510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.752599778,1 +511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.230639788,1 +512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.166525065,1 +514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.422204055,1 +515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.865437446,1 +513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.291863854,1 +516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.099363563,1 +518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.320049658,1 +520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.545341397,1 +519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.723481607,1 +521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.740468127,1 +522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.365007782,1 +517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.148709863,1 +523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,7.586414383,1 +524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.759466788,1 +525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.296384961,1 +527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.208954498,1 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0,-1,1,1,4.180175685,1 +557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.643486244,1 +558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.536700734,1 +559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.787543249,1 +560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,2.972431056,1 +561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.395528337,1 +562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.90753817,1 +563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.14748395,1 +565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.740048177,1 +566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.97726807,1 +567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.104184518,1 +568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.947713489,1 +570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.085858388,1 +564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.59357925,1 +569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.312254023,1 +571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.778763706,1 +574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,7.679634264,1 +572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.545188724,1 +573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.253385896,1 +575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.038623868,1 +577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.030463827,1 +578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.121736051,1 +576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.201743023,1 +579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.489306195,1 +581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,7.149867199,1 +582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.57147305,1 +583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.650729041,1 +584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.740975499,1 +580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.542001463,1 +585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.997528793,1 +586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.702627511,1 +587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.140060669,1 +589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.326338558,1 +588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.244169596,1 +590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.629855596,1 +593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.976862003,1 +592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.237147147,1 +591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.195044413,1 +597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.584357664,1 +594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,2.865382281,1 +596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.443451329,1 +598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.514087937,1 +599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.183781778,1 +600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.323405862,1 +601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.454984914,1 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0,-1,1,1,4.01108675,1 +616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.62996545,1 +617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.09463025,1 +620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.161328898,1 +621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.48961214,1 +619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.612538803,1 +618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.762448113,1 +624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.608251869,1 +625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.952025901,1 +623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.035480593,1 +622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.110779994,1 +626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.831941276,1 +628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.506708213,1 +627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.646499161,1 +630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,2.866064516,1 +629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.064106191,1 +631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.307495091,1 +633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.310032571,1 +634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.99049907,1 +635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.395443015,1 +632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.779743199,1 +637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.863487547,1 +636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.600283651,1 +639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.598235145,1 +638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.216086044,1 +641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.291331216,1 +640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.957574516,1 +643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.126587237,1 +642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,7.817954453,1 +644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.216565581,1 +646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,7.227634646,1 +647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.334980263,1 +648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.533451829,1 +645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,7.775840447,1 +649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.13288776,1 +651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.380183162,1 +652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.328445491,1 +650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.368095602,1 +655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.111066729,1 +653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.681953952,1 +654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.31623154,1 +656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,2.584068448,1 +658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.758606114,1 +657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.473274259,1 +659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.540215006,1 +660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.748583118,1 +661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.431976528,1 +663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.553118825,1 +665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.320541506,1 +662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.311315375,1 +666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.139820587,1 +667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.018882901,1 +664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.891347566,1 +668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.805270789,1 +669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.83948128,1 +671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.666800194,1 +670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.392317639,1 +672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.158295528,1 +673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.657046341,1 +676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.646518415,1 +675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.143953821,1 +677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.554915038,1 +674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.674427965,1 +680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.224940326,1 +679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.467011439,1 +678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.523213079,1 +681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.15876892,1 +683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.196954019,1 +684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.313285635,1 +682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.790086008,1 +686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.973868761,1 +687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.551987634,1 +688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.323378231,1 +685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,2.587021182,1 +689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.652230317,1 +690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.079297046,1 +691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.655691351,1 +693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.075505749,1 +695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.854343124,1 +692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.120493843,1 +694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.494879182,1 +699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,8.661315454,1 +698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.238432347,1 +697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.740027695,1 +696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.682243965,1 +700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.85559158,1 +702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.53372954,1 +703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.335412948,1 +705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.53299183,1 +704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.445764651,1 +706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.251925755,1 +701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.534818196,1 +707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.216036712,1 +709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,7.660071628,1 +710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.687120972,1 +708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.567566976,1 +711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.088961896,1 +712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.015534366,1 +713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,2.171497332,1 +714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,1.882713458,1 +715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,1.999929753,1 +716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.297861302,1 +717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.555326366,1 +718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.503319483,1 +719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.563557372,1 +720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.056477697,1 +722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.594265697,1 +723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.821592628,1 +724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,2.934603966,1 +725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.390571383,1 +721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.206768869,1 +726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.970164411,1 +727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.23321851,1 +728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.999310177,1 +729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.705294586,1 +730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.989444164,1 +731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.082852609,1 +732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.205874477,1 +734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.891884891,1 +733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.664207554,1 +735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.080192904,1 +736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.768810743,1 +737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.049703218,1 +739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.886104353,1 +738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.697188545,1 +740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,2.978084076,1 +741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.728923448,1 +742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.77926334,1 +744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.338737798,1 +743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.240290091,1 +745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.161835401,1 +747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,7.111842029,1 +746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.635137391,1 +749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.371957698,1 +748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.712805003,1 +752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.373084557,1 +751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,2.42144093,1 +750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.510484086,1 +754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.652178993,1 +756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.8920115,1 +753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.935115,1 +755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.139291604,1 +759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.664118774,1 +760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.038328422,1 +757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.502892031,1 +758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,7.051907952,1 +762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.393388509,1 +763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.257837926,1 +761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,7.449817485,1 +764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.788445145,1 +765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.377994066,1 +766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.439824702,1 +767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.874604438,1 +768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.64948704,1 +769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,2.07237019,1 +770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.395291509,1 +772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.16286577,1 +773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.109798738,1 +771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.920417678,1 +774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.640466755,1 +775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.647941452,1 +777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.185047549,1 +778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,2.556199429,1 +779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.229729283,1 +780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.933228832,1 +782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.509525042,1 +776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.831500406,1 +783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.552468584,1 +784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.17946155,1 +785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.219113744,1 +786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.956103784,1 +781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.060391797,1 +788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.548027158,1 +791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.947586964,1 +790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.271530376,1 +787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.831516397,1 +789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.138920996,1 +794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,7.442420824,1 +793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,2.939298064,1 +795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,2.419319227,1 +796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.401798701,1 +792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.015652404,1 +797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.488923102,1 +798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.168299167,1 +799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.420047029,1 +802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.47695193,1 +800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.753384083,1 +803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,8.065804813,1 +805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.23477072,1 +801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.342398022,1 +804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.285520685,1 +806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.533653204,1 +809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,7.308989499,1 +807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.627024052,1 +808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.356780321,1 +810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.454301587,1 +812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.304466899,1 +811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.617320805,1 +813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.675708099,1 +814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.07959646,1 +816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.258888179,1 +817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.890889083,1 +815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.49652299,1 +818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.469951856,1 +821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.370911376,1 +819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.49627347,1 +820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.283158768,1 +822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.708670265,1 +825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.909405227,1 +823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.40109017,1 +824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.384640134,1 +826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.635869442,1 +827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.697161167,1 +828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,7.316737732,1 +830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.558153665,1 +829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.485441678,1 +831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.41885045,1 +833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.380298938,1 +835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.100128831,1 +834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.717660834,1 +832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.823932995,1 +837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.304840082,1 +838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.757864335,1 +839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.755079718,1 +840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.99942257,1 +842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.70951878,1 +841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.741271233,1 +843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.536124169,1 +844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.390986205,1 +836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.935300841,1 +845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.5139249,1 +846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.251692259,1 +848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.309177872,1 +847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.454381987,1 +851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.131831608,1 +850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.860851206,1 +852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.837891725,1 +849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.969673989,1 +853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.582454228,1 +855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.522973689,1 +854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.441196094,1 +856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.425842879,1 +858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.136346423,1 +859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.441981872,1 +861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.35703987,1 +862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.293119682,1 +860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.53428689,1 +857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.015229338,1 +866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.609096205,1 +865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.844315659,1 +863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,1.911531275,1 +864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.22145831,1 +867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.705215617,1 +869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.119125331,1 +871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.206453838,1 +870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,2.95895342,1 +872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.140385068,1 +874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.862807596,1 +868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.67140817,1 +875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.668561826,1 +876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.084608608,1 +873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.792151758,1 +877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,2.924275987,1 +880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,2.680679475,1 +878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.033485759,1 +881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.268295169,1 +879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.724879124,1 +882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,2.458760035,1 +883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.309120286,1 +885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.610460552,1 +884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.827154279,1 +886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.821109437,1 +887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.46057056,1 +888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.676075029,1 +889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.964543783,1 +890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.870299876,1 +891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.797472599,1 +893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.594191241,1 +894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,7.66626088,1 +892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.049279988,1 +895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.248248626,1 +897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.190469476,1 +896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.592336723,1 +898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.896678994,1 +900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.372174365,1 +899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,2.135774911,1 +901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.400260515,1 +902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.886256471,1 +903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.077752399,1 +904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.653686755,1 +906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.074627349,1 +908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.34466836,1 +907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,2.623104312,1 +905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,2.829811057,1 +910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.188445039,1 +911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.781166702,1 +909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.005975915,1 +912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.859765617,1 +914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,8.025965216,1 +913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.362086488,1 +915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.752760699,1 +916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.450185174,1 +917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.005298323,1 +918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.512016985,1 +919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.459932233,1 +921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.838710249,1 +920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,2.44810326,1 +922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.807892804,1 +923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.226805719,1 +926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.469910432,1 +927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.722345035,1 +924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.775810993,1 +929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.403275071,1 +930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.329095389,1 +925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.723128867,1 +928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.51196064,1 +931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.489270698,1 +932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.155727266,1 +933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.750745487,1 +934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.858496103,1 +935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.805251259,1 +936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.784903516,1 +937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.782769172,1 +939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.560062809,1 +940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,7.007664831,1 +938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.932349443,1 +942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.697255797,1 +941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.346071073,1 +944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.407371151,1 +943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.836975909,1 +946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.705631395,1 +947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.929703525,1 +948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.476726824,1 +949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.677940162,1 +950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.40044812,1 +945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,7.569286713,1 +952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.510874279,1 +953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.877169345,1 +954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.328502416,1 +951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.805516156,1 +957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.786255138,1 +959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,2.636204218,1 +958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.278844889,1 +955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.890673059,1 +956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.524671307,1 +963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.327754837,1 +962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.118658709,1 +961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.102417752,1 +964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.330932152,1 +965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.610774395,1 +968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.568945322,1 +967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,2.064728934,1 +960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.186806323,1 +966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.837404467,1 +969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.43713004,1 +971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.924323461,1 +970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.125200961,1 +972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.739777074,1 +974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.188210609,1 +973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.830867339,1 +975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.11639818,1 +977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.351288515,1 +978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.802613983,1 +976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.610537937,1 +979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.282782546,1 +981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.911061876,1 +983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.311824837,1 +984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.245214509,1 +980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.978714847,1 +982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.515011229,1 +987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.642982643,1 +988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.881411415,1 +985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.102422643,1 +986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.992266087,1 +989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,3.852002169,1 +990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.910992812,1 +991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.353228276,1 +992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,6.108307124,1 +993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,8.908261709,1 +995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.428525094,1 +996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.627721608,1 +994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.422822213,1 +998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.988996187,1 +999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.481624571,1 +997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,5.788604857,1 +1000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,1,1,4.124304557,1 +10001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.427299696,1 +10004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.876589655,1 +10003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.520099602,1 +10005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.363683779,1 +10007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.303108047,1 +10006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.742146361,1 +10008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.72773076,1 +10002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.577410098,1 +10009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.126886761,1 +10010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.047892041,1 +10011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.020198713,1 +10012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.830691382,1 +10013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.381014382,1 +10014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.199429294,1 +10015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.192378921,1 +10017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.983882548,1 +10018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.535156564,1 +10019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.408552054,1 +10016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.64446265,1 +10020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.883636533,1 +10021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.187497866,1 +10022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.630476793,1 +10024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.417298664,1 +10025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.004175779,1 +10026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.677760301,1 +10023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.375990397,1 +10027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.22742284,1 +10030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.52164145,1 +10028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.216099957,1 +10029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.15091656,1 +10031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.272412825,1 +10033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.372689166,1 +10032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.357305069,1 +10034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.800188636,1 +10035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.241446978,1 +10036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.235857739,1 +10038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.50821869,1 +10039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.019197194,1 +10040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.918525529,1 +10041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.220697348,1 +10037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.09604075,1 +10042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.119365816,1 +10043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.46497432,1 +10045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.832999971,1 +10044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.117486874,1 +10047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.535177322,1 +10046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.426431104,1 +10049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.35106034,1 +10051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.441242916,1 +10050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.200551908,1 +10048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.499410825,1 +10053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.040724635,1 +10054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.554721417,1 +10055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.154531956,1 +10052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.457545761,1 +10056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.068755822,1 +10057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.404469261,1 +10059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.367091982,1 +10060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.63674646,1 +10058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.693400825,1 +10061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.03780616,1 +10062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.556463674,1 +10063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.39411245,1 +10065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.622263754,1 +10064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.882249855,1 +10066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.839966671,1 +10069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.84321444,1 +10067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.028328093,1 +10068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.355360775,1 +10070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.822030178,1 +10071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.36312725,1 +10072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,1.802094149,1 +10073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.258100663,1 +10074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.535008053,1 +10075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.914244177,1 +10076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.040329598,1 +10077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.267778085,1 +10078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.536346534,1 +10080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.014916128,1 +10079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.744977699,1 +10081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.356357822,1 +10084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.576159284,1 +10083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.955472301,1 +10085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.460400353,1 +10086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.06993522,1 +10087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.744234767,1 +10082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.180014483,1 +10088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.330928491,1 +10091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.103900593,1 +10089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.877934248,1 +10090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.317344323,1 +10093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.494638149,1 +10092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.867338633,1 +10094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.988872219,1 +10095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.619886339,1 +10096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.148057458,1 +10097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.853516077,1 +10099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.268113548,1 +10098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.976821677,1 +10102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.702986301,1 +10100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.845616161,1 +10103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.937799091,1 +10106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.183855405,1 +10101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.184511894,1 +10104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.862103715,1 +10105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.448582059,1 +10108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.298214555,1 +10109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.299267855,1 +10107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.209156564,1 +10111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.192988353,1 +10112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.490932462,1 +10113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.521587783,1 +10114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.120321969,1 +10115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.700208593,1 +10110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.066024515,1 +10116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.342860382,1 +10118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.737171371,1 +10120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.471302832,1 +10117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.68932308,1 +10119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.763352121,1 +10123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.807917091,1 +10121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.285005436,1 +10124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.842843703,1 +10122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.869026302,1 +10125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.226890066,1 +10126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.348290576,1 +10128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.276507468,1 +10129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.040143286,1 +10130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.133801914,1 +10131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.849176092,1 +10127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.140523711,1 +10133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.878174612,1 +10134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.737401119,1 +10132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.783266505,1 +10135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.168262202,1 +10137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.021537163,1 +10136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.717433168,1 +10138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.430698236,1 +10139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.596972952,1 +10140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.433885324,1 +10141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.866780872,1 +10142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.785501491,1 +10143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.406568136,1 +10144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.886473765,1 +10145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.453326895,1 +10146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.420009621,1 +10148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.732233669,1 +10149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.494806592,1 +10150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.679036052,1 +10147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.347854269,1 +10151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.306199229,1 +10152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.111537538,1 +10153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.042451153,1 +10154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.952262017,1 +10155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.727107573,1 +10156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.508030561,1 +10157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.651567357,1 +10158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.625494455,1 +10159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.270441084,1 +10160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.931473187,1 +10161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.908074229,1 +10163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.628897251,1 +10162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.372950157,1 +10164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.305768293,1 +10166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.049986713,1 +10165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.537400714,1 +10167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.987853394,1 +10168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.035669999,1 +10170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.123835213,1 +10169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.265739447,1 +10172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.201181715,1 +10173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.330655239,1 +10171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.642465481,1 +10174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.926241518,1 +10175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.1915186,1 +10177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.641523994,1 +10176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.704067722,1 +10178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.120710039,1 +10179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.738564419,1 +10180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.824394818,1 +10181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.436613969,1 +10182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.600953336,1 +10183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.824309473,1 +10185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.14649475,1 +10184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.884660772,1 +10186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.274033092,1 +10187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.401659852,1 +10188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.280449039,1 +10189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.924978439,1 +10190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.679155996,1 +10191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.703801642,1 +10193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.263962051,1 +10194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.229688271,1 +10192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.224222908,1 +10195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.823594791,1 +10196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.681565194,1 +10197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.290263921,1 +10198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.790807951,1 +10199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.868404226,1 +10200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.448394036,1 +10202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.484823199,1 +10201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.049828659,1 +10204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.870812474,1 +10205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,1.997848351,1 +10206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.287350176,1 +10207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.887476215,1 +10208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.441771429,1 +10209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.684285662,1 +10210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.493071813,1 +10203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.225868488,1 +10212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.391473941,1 +10211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.542289,1 +10213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.868645493,1 +10214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.788439283,1 +10215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.190734645,1 +10216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.311066032,1 +10217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.210177905,1 +10218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.951955388,1 +10220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.220075445,1 +10221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.126528739,1 +10222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.264286725,1 +10223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.168393059,1 +10224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.505353654,1 +10219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.893311693,1 +10226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.720228743,1 +10227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.228051058,1 +10228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.930868689,1 +10225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.825465711,1 +10231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.862578628,1 +10230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.352805998,1 +10229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.199872776,1 +10232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.884910118,1 +10234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.017616126,1 +10233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.829661859,1 +10235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.59578432,1 +10236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.240330328,1 +10237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.089148763,1 +10239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.564878353,1 +10241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.215577724,1 +10242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.640882823,1 +10240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.710148482,1 +10238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.219490688,1 +10244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.718843377,1 +10246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.716831963,1 +10243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.716040378,1 +10245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.084700751,1 +10247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.5271733,1 +10248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.760556802,1 +10249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.91025161,1 +10251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.739793396,1 +10250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.916481912,1 +10252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.076396048,1 +10253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.670218794,1 +10254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.900493056,1 +10257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.36580553,1 +10255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.810429567,1 +10258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.738580415,1 +10256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.125232229,1 +10259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.572105966,1 +10262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.213227075,1 +10260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.829715056,1 +10261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.956381682,1 +10263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.012521281,1 +10264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.574210687,1 +10265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.781976794,1 +10266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.582341202,1 +10267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.66915639,1 +10268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.445823102,1 +10270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.604991566,1 +10269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.475219448,1 +10271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.347926845,1 +10272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.72633507,1 +10273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.307874309,1 +10274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.728333061,1 +10275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.004613519,1 +10276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.274009732,1 +10277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.841691825,1 +10279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.631914654,1 +10280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.952951399,1 +10281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.003441294,1 +10278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.575422212,1 +10282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.875094147,1 +10283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.749898707,1 +10286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.918840889,1 +10285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.27123862,1 +10287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.268511336,1 +10284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.298865771,1 +10288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.827639631,1 +10289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.361587679,1 +10291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.104048912,1 +10290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.994526159,1 +10293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.520250016,1 +10294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.530969898,1 +10292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.35945886,1 +10295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.559007052,1 +10297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.540707409,1 +10298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.967668834,1 +10299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.430370648,1 +10296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.194370907,1 +10301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.34798674,1 +10302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.733784888,1 +10300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.727370606,1 +10304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.11304466,1 +10303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.788928268,1 +10305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.167243153,1 +10306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.284448573,1 +10308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.921257623,1 +10309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.105357359,1 +10307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.133655061,1 +10310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.272579644,1 +10312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.739208098,1 +10313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.598070629,1 +10315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.810830325,1 +10316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.90666946,1 +10311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.512456942,1 +10317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,8.344371992,1 +10318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.558557713,1 +10314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.394226509,1 +10319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.900625424,1 +10322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.521086581,1 +10320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.649908507,1 +10321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.892193524,1 +10324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.506635209,1 +10323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.184612484,1 +10325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.014719658,1 +10326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.743494641,1 +10327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.686093965,1 +10328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.173883135,1 +10329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.009319413,1 +10330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.686726687,1 +10333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.487101544,1 +10332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.211219282,1 +10334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.37318599,1 +10331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.976736276,1 +10338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.824753484,1 +10337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.17709565,1 +10335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.194525095,1 +10339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.279557673,1 +10336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.231809572,1 +10341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.858432015,1 +10340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.518322486,1 +10342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.038148221,1 +10344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.277024626,1 +10345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.301729769,1 +10343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.611674211,1 +10346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.930703414,1 +10347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.386491323,1 +10348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.678993497,1 +10350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.275241807,1 +10351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.248525335,1 +10352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.89080479,1 +10349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.637419687,1 +10354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.964300273,1 +10355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.016975476,1 +10353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.041618953,1 +10356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.820532017,1 +10358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.537429695,1 +10357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.817601918,1 +10360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.642574058,1 +10361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.413881476,1 +10362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.379561226,1 +10359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.371144626,1 +10363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.18171725,1 +10365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.021764553,1 +10364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.429538423,1 +10366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,8.310421151,1 +10367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.764370827,1 +10368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.971498094,1 +10369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.42827247,1 +10370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.464168934,1 +10371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.420355638,1 +10372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.452214949,1 +10373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.919505412,1 +10374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.733614424,1 +10375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.337043562,1 +10376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.155759706,1 +10377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.868701952,1 +10379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.96424977,1 +10380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.217336272,1 +10381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.557828538,1 +10383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.845061115,1 +10384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.007167013,1 +10378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.191331146,1 +10382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.203319247,1 +10385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.137687416,1 +10386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.222552454,1 +10388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.009158286,1 +10387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.81476789,1 +10389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.774757453,1 +10390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.99729003,1 +10391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.205532515,1 +10392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.68232594,1 +10393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.312341596,1 +10394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.143312698,1 +10395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.194014613,1 +10397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.536235094,1 +10398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.575534878,1 +10399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.353677793,1 +10396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.503138929,1 +10400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.48059125,1 +10402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.856187963,1 +10403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.0931127,1 +10405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.196766736,1 +10401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.801094164,1 +10404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.773324128,1 +10406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.022172293,1 +10407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.578536363,1 +10409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.028576034,1 +10410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.231844104,1 +10408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.175541642,1 +10411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.596762663,1 +10412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.188316447,1 +10416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.431469364,1 +10414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,1.854757421,1 +10413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.137990869,1 +10415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.413940142,1 +10418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.024165206,1 +10420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.724910909,1 +10419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.682954636,1 +10417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.953514802,1 +10422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.813471533,1 +10423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.845267907,1 +10424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.087091537,1 +10425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.711772109,1 +10421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.957841543,1 +10426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.160204919,1 +10427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.869872859,1 +10428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.21519788,1 +10429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.048088274,1 +10431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.677579732,1 +10430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.964936785,1 +10432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.329995156,1 +10433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.535689695,1 +10435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.581142452,1 +10436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.834528628,1 +10437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.061880354,1 +10434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,8.553809261,1 +10438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.931177353,1 +10440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.022282363,1 +10441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.203291908,1 +10439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,8.497658183,1 +10442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.607090024,1 +10443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.661357486,1 +10444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.919101991,1 +10445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.626946888,1 +10448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.190155209,1 +10447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.874008864,1 +10446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.100395649,1 +10449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.127071944,1 +10450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.167410249,1 +10451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.196515718,1 +10452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.110383116,1 +10453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.667462561,1 +10455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.894709415,1 +10456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.614693616,1 +10454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.126703943,1 +10458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.946354277,1 +10457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.663236061,1 +10459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.823793309,1 +10460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.857129359,1 +10461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.758607563,1 +10462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.374213525,1 +10464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.339920065,1 +10465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.910779768,1 +10466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.270969668,1 +10467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.476087073,1 +10463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.737346945,1 +10468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.772464087,1 +10469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.816601263,1 +10473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.756459827,1 +10472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.57315125,1 +10471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.845765215,1 +10470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.720804042,1 +10476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.433414176,1 +10474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.679499753,1 +10475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.258472784,1 +10477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.984885983,1 +10479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.541310126,1 +10478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.546041014,1 +10481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.034547648,1 +10480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.081152249,1 +10482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.269462144,1 +10484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.665810051,1 +10485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.579400081,1 +10486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.955356937,1 +10483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.075096578,1 +10488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.432693485,1 +10487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.669828686,1 +10490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.530408013,1 +10491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.489757096,1 +10489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.617164813,1 +10492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.136499422,1 +10493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.779644127,1 +10495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.607177837,1 +10494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.805576852,1 +10496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.132350883,1 +10498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.289343848,1 +10499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.496293963,1 +10500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.191273444,1 +10497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.243581515,1 +10501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.19966759,1 +10502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.64230605,1 +10503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.891684028,1 +10505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.928036654,1 +10506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.235780082,1 +10504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.784816515,1 +10507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.94975975,1 +10509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.305160767,1 +10508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.14550058,1 +10510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.528223977,1 +10511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.517547193,1 +10512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.37176396,1 +10513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.467216395,1 +10514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.925075558,1 +10515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.278216353,1 +10516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.039573593,1 +10517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.450116866,1 +10519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.467280384,1 +10520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.393223592,1 +10518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.51256244,1 +10521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.419584889,1 +10522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.060312337,1 +10524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.149284804,1 +10523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.673491209,1 +10526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.252843129,1 +10528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.818240217,1 +10527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.262821837,1 +10529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.180288764,1 +10525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.027646426,1 +10530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.839060056,1 +10532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.944899539,1 +10531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.945082936,1 +10534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.491254499,1 +10533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.248832604,1 +10535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.40760213,1 +10537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.814072317,1 +10536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.242358824,1 +10538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.555745377,1 +10540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.166440081,1 +10539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.979171808,1 +10541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.078823786,1 +10542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.850751926,1 +10543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.359507036,1 +10545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.113894192,1 +10544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.087910185,1 +10547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.084419235,1 +10548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.428632523,1 +10549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.381061083,1 +10546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.68404191,1 +10551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.947369176,1 +10550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.008708262,1 +10553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.445852449,1 +10552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.079044018,1 +10554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.985935854,1 +10556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.852141329,1 +10555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.350513564,1 +10557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.271618929,1 +10558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.787063748,1 +10559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.935328789,1 +10560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.178635873,1 +10561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.501530173,1 +10562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.816394381,1 +10564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.637296013,1 +10565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.042524984,1 +10566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.419625867,1 +10563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.292624789,1 +10567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.158518261,1 +10568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.945054413,1 +10569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.155865577,1 +10570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.558373337,1 +10571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.652423234,1 +10573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.836134122,1 +10574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.730443384,1 +10572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.953892195,1 +10575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.025622437,1 +10576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.421338774,1 +10578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.368752082,1 +10577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.847764263,1 +10579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.782850592,1 +10580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.823339805,1 +10582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.980133622,1 +10581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.963223139,1 +10583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.743059791,1 +10584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.752128233,1 +10585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.319458766,1 +10587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.066828637,1 +10588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.585912279,1 +10589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.475971967,1 +10590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.5271282,1 +10591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.858449267,1 +10586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.199315566,1 +10592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.033153378,1 +10593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.247290335,1 +10594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.906877663,1 +10596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.614036997,1 +10595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.216748869,1 +10597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.688083091,1 +10598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.96683199,1 +10600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.20045714,1 +10599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.915726386,1 +10601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.60780347,1 +10602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.887501513,1 +10604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.24130674,1 +10603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.595834044,1 +10605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.919891257,1 +10606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.885029788,1 +10607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.941259791,1 +10609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.278509519,1 +10610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.219922266,1 +10611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.071799585,1 +10612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.211767302,1 +10613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.578283569,1 +10608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.082470658,1 +10615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.793636637,1 +10614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.930150896,1 +10616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.42546177,1 +10617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.147412329,1 +10619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.154931547,1 +10618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.817011707,1 +10620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.486757404,1 +10621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.468573892,1 +10622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.1206268,1 +10624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.918011665,1 +10623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.709196687,1 +10625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.456367523,1 +10626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.395907084,1 +10627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.379791374,1 +10628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.608053112,1 +10630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.029562868,1 +10631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.666342958,1 +10632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.357377269,1 +10629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.263271572,1 +10633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.504474472,1 +10634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.855705286,1 +10635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.311022746,1 +10636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.3097267,1 +10637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.189038773,1 +10638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.595830757,1 +10639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.769175671,1 +10640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.425174154,1 +10641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.067858507,1 +10642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.311282502,1 +10643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.448909543,1 +10645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.339562996,1 +10646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.138777515,1 +10647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.315156278,1 +10648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.172039383,1 +10649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.266296872,1 +10650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.069460274,1 +10644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.38368582,1 +10651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.156690706,1 +10652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.776433196,1 +10653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.29585299,1 +10655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.123669061,1 +10656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.23308963,1 +10657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.484242873,1 +10654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.904693438,1 +10658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.013188838,1 +10660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.613161834,1 +10659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.094053107,1 +10662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.525655589,1 +10663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.600999284,1 +10661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.361710129,1 +10664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.951312077,1 +10665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,8.86808501,1 +10666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.775802807,1 +10667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.708534133,1 +10668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.302121133,1 +10669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.738643697,1 +10670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.364044919,1 +10672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.381600296,1 +10673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.154814079,1 +10674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.402812498,1 +10675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.131307486,1 +10671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.755057949,1 +10677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.349654499,1 +10676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.090211091,1 +10678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.021058334,1 +10679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.023719652,1 +10680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.229830513,1 +10682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.624117093,1 +10681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.29142282,1 +10683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.699003385,1 +10684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.681770939,1 +10685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.7748285,1 +10686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.467138396,1 +10687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.170962851,1 +10688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.774455075,1 +10690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,8.264184638,1 +10691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.962191909,1 +10689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.110446876,1 +10693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.375713291,1 +10694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.701801333,1 +10692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.338348346,1 +10696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.806417115,1 +10695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.806536803,1 +10697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.76843467,1 +10699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.289183344,1 +10698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.575562682,1 +10700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.221467515,1 +10701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.185862751,1 +10702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.580747534,1 +10704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.726121102,1 +10705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.661078489,1 +10703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.169726697,1 +10706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.416167251,1 +10709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.417513701,1 +10708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.45159416,1 +10707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.613695232,1 +10710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.766255563,1 +10711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.422150059,1 +10712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.253371933,1 +10713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.211421391,1 +10714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.366521154,1 +10716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.304806709,1 +10715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.37695706,1 +10717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.599402686,1 +10718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.900226831,1 +10719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.115745946,1 +10722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.778177688,1 +10721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.878597893,1 +10720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.258525887,1 +10723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.187326198,1 +10726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.342804199,1 +10724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.779510882,1 +10727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.482198881,1 +10729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.530538635,1 +10728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.045459207,1 +10725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.664435676,1 +10730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.243616506,1 +10732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.046616409,1 +10734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.996753732,1 +10735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.347907337,1 +10733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.141977927,1 +10731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.232933279,1 +10738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.344670571,1 +10736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.700991293,1 +10737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.743442602,1 +10739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.813830987,1 +10741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.147077844,1 +10740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.869063044,1 +10742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.356950734,1 +10743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.200362813,1 +10744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.909512575,1 +10746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.165803156,1 +10747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.40173647,1 +10748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.435946145,1 +10749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.455971865,1 +10750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.620344245,1 +10751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.224033676,1 +10745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.017105043,1 +10752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.949839957,1 +10755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.204157844,1 +10756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.909538752,1 +10753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.315475431,1 +10754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.488458111,1 +10759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.605075432,1 +10757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.177246817,1 +10758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.2622645,1 +10761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.064556818,1 +10760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.316563003,1 +10762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.646643825,1 +10763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.475779788,1 +10764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.478702303,1 +10765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.901032659,1 +10767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.453269551,1 +10769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.433222044,1 +10768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.184511406,1 +10766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.626665332,1 +10770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.527796766,1 +10772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.616080086,1 +10774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.904859412,1 +10773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.218789766,1 +10775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.302189679,1 +10771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.569708334,1 +10776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.345976555,1 +10777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.463082162,1 +10778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,8.264732649,1 +10780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.446851258,1 +10781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.535623762,1 +10782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.483585347,1 +10779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.217037116,1 +10783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.142820495,1 +10786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.233147094,1 +10785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.069504849,1 +10784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.542414661,1 +10787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.90395665,1 +10788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.107986537,1 +10789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.267876123,1 +10790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.757475099,1 +10791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.435384507,1 +10793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.989464197,1 +10792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.508539304,1 +10795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.207593401,1 +10794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.069413916,1 +10796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.063920098,1 +10797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.25634781,1 +10799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.514336151,1 +10800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.495066052,1 +10798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.784748759,1 +10801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.59901129,1 +10804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.173308122,1 +10803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.690465877,1 +10805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.56909752,1 +10807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.643505628,1 +10806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.915536021,1 +10808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.184710548,1 +10802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.978968342,1 +10809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.80464428,1 +10810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.630509534,1 +10812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.548518124,1 +10814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.737319944,1 +10811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.008866168,1 +10815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.972769861,1 +10813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.121831625,1 +10817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.717929709,1 +10818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.840906776,1 +10816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.991241819,1 +10819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.067153773,1 +10821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.086153928,1 +10820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.122355429,1 +10823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.271040878,1 +10822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.548927654,1 +10824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.7300954,1 +10825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.553958926,1 +10826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.494306431,1 +10828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.464740923,1 +10827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.990916753,1 +10830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.042581523,1 +10829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.88199371,1 +10831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.421342305,1 +10832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.582274711,1 +10833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.890125164,1 +10834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.148868742,1 +10835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.022736145,1 +10836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.74675389,1 +10837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.396736116,1 +10838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.737471642,1 +10839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.55482814,1 +10841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.913069998,1 +10842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.267991711,1 +10843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.208948018,1 +10844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.354389863,1 +10846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.593308191,1 +10840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.629622099,1 +10845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.91194143,1 +10847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.480084917,1 +10848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.303198206,1 +10849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.758246182,1 +10850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.739119561,1 +10851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.115512222,1 +10852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.44758451,1 +10853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.392227178,1 +10854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.375986531,1 +10855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.20167026,1 +10856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.966361156,1 +10857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.722760316,1 +10858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.816202235,1 +10859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.153604753,1 +10860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.312030685,1 +10862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.070504853,1 +10861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.817629685,1 +10864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.386417321,1 +10863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.733101493,1 +10865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.192715594,1 +10866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.314976954,1 +10867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.382716001,1 +10869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.218722937,1 +10868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.66847063,1 +10870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.631732018,1 +10871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.311789579,1 +10872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.468073992,1 +10874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.567138356,1 +10875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.243103533,1 +10876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.274930257,1 +10873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.125444891,1 +10878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.908358191,1 +10880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.122419191,1 +10879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.309903019,1 +10877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.152905372,1 +10882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.984129435,1 +10881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.984870168,1 +10883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.325695425,1 +10884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.866683969,1 +10885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.510663493,1 +10887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.675339121,1 +10888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.2808581,1 +10889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.095627581,1 +10886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.299490619,1 +10890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.591356681,1 +10891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.760893145,1 +10893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.649161394,1 +10892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.738380298,1 +10894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.701376777,1 +10895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.972219697,1 +10897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.935928582,1 +10898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.583929444,1 +10899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.89029158,1 +10900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.653179545,1 +10896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.652905172,1 +10901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.523310639,1 +10902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.667217036,1 +10904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.673649681,1 +10905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.658270153,1 +10906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.165989212,1 +10903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.217926768,1 +10907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.625181019,1 +10910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.096127076,1 +10911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.784683162,1 +10909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.211117972,1 +10908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.630310248,1 +10912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.852261518,1 +10914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.113853862,1 +10915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.177207287,1 +10916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.823869246,1 +10917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.954295893,1 +10918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.960534821,1 +10913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.647318601,1 +10920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.018934778,1 +10922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.432394869,1 +10921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.640675168,1 +10919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.972920796,1 +10924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.231679797,1 +10923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.688340996,1 +10925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.305673666,1 +10926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.264415889,1 +10928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.157984476,1 +10927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,8.109007614,1 +10929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.795173787,1 +10930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.423935634,1 +10931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.845005129,1 +10934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.773777712,1 +10933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.541526451,1 +10935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.326176658,1 +10932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.604297838,1 +10937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.1955626,1 +10939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.779517325,1 +10936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.664112717,1 +10938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.968326968,1 +10941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.740724247,1 +10940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.212689943,1 +10942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.234929315,1 +10943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.504158366,1 +10944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.734398804,1 +10945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.391440871,1 +10946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.576112007,1 +10947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.42057091,1 +10949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.299875535,1 +10950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.003665131,1 +10951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.271314543,1 +10948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.879244394,1 +10952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.061740334,1 +10955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.229961863,1 +10953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.785990778,1 +10954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.768535679,1 +10956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.919561633,1 +10957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.426957152,1 +10958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.510373829,1 +10959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.757257814,1 +10961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.996942899,1 +10962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.892106478,1 +10960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.552588051,1 +10963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.006695167,1 +10965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.237499429,1 +10964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,1.918543171,1 +10966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.440373631,1 +10967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.578473749,1 +10968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.729055075,1 +10970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.690273073,1 +10969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.420585627,1 +10971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.103483658,1 +10972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.63668603,1 +10974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.437403343,1 +10976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.215906782,1 +10975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.395586628,1 +10977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,8.610149874,1 +10978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.030010209,1 +10973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.94475094,1 +10979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.698925042,1 +10980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.719540302,1 +10981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.576139289,1 +10983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.211930494,1 +10982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.073903601,1 +10984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.51049101,1 +10986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.965361378,1 +10985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.827823238,1 +10987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.245751084,1 +10988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,7.973053042,1 +10989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.519764364,1 +10990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.312835236,1 +10991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.746978197,1 +10992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.657907504,1 +10993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,3.947345344,1 +10994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,5.603256832,1 +10996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.780021421,1 +10997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.408283863,1 +10998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,4.922595541,1 +10995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.058417336,1 +11000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,2.240681178,1 +10999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,1,1,6.089749245,1 +20001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.056325564,1 +20003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.605712906,1 +20004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.474639252,1 +20002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.473213635,1 +20007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.704553792,1 +20005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.254209458,1 +20006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.885307749,1 +20008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.666029586,1 +20009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.199710085,1 +20010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.741693757,1 +20011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.944241765,1 +20012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.837503495,1 +20013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.109301585,1 +20014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.579714854,1 +20015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.739737288,1 +20016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.535178465,1 +20018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.563157981,1 +20017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.739662569,1 +20019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.289360034,1 +20021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.497689114,1 +20023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.120879247,1 +20022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.356134515,1 +20020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.081064162,1 +20024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.838929105,1 +20026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.342615168,1 +20028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.691274481,1 +20029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.164211601,1 +20027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.628871183,1 +20030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.15430627,1 +20025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.857277474,1 +20031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.260443403,1 +20032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.635612944,1 +20033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.928866389,1 +20034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.39713063,1 +20035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.569593561,1 +20037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.473422606,1 +20038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.28624115,1 +20036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.610722638,1 +20039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.124604884,1 +20040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.398307632,1 +20041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.988037477,1 +20042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.93711326,1 +20043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.424906094,1 +20046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.857055595,1 +20045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.660757071,1 +20047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.427329284,1 +20044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.680144525,1 +20048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.86471053,1 +20049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.500876204,1 +20051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.72975678,1 +20050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.655533328,1 +20052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.568439607,1 +20053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.585693332,1 +20054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.512316148,1 +20055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.835464088,1 +20056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.969360881,1 +20058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.213767144,1 +20057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.818208638,1 +20059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.558923237,1 +20060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.387082117,1 +20062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.838015543,1 +20063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.116542001,1 +20064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.321001503,1 +20061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.640738648,1 +20065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.966796096,1 +20068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.605663186,1 +20067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.293183641,1 +20066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.763068428,1 +20070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.395280387,1 +20069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.4817934,1 +20071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.893185418,1 +20072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.458183872,1 +20073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.004177235,1 +20074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.112429636,1 +20075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.712034588,1 +20076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.971662446,1 +20077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.193590299,1 +20079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.755637599,1 +20080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.732660976,1 +20078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.420608568,1 +20082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.426426353,1 +20084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.548853422,1 +20083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.995024271,1 +20081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.375831384,1 +20085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.229342669,1 +20088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.17165847,1 +20087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.894733695,1 +20089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.641559656,1 +20086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.011917495,1 +20090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.410194078,1 +20091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.432912743,1 +20092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.411616619,1 +20094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.68207708,1 +20095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.241332682,1 +20096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.879549138,1 +20093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.649076466,1 +20098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.110520166,1 +20097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.080518244,1 +20099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.902409605,1 +20100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.990659048,1 +20101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.034354601,1 +20102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.373548577,1 +20103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.419794474,1 +20104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.56467356,1 +20105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.88136563,1 +20106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.152654885,1 +20107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.29362388,1 +20109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.60504003,1 +20110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.902031786,1 +20111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.679151424,1 +20112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.297544169,1 +20108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.820430641,1 +20113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.250469091,1 +20114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.155277521,1 +20116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.942162091,1 +20115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.686910598,1 +20117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.67494895,1 +20118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.062365083,1 +20119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.671540633,1 +20120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.748021572,1 +20121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.535745151,1 +20122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.739385571,1 +20125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.740017256,1 +20124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.167747662,1 +20126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.414514158,1 +20127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.173353287,1 +20128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.26339566,1 +20123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.529434168,1 +20129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.927376403,1 +20130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.842217426,1 +20131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.201029004,1 +20133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.359348845,1 +20134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.651844243,1 +20132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.782397488,1 +20137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.044543939,1 +20136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.921224742,1 +20135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.869591388,1 +20138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.488655047,1 +20139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.478905896,1 +20140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.984956046,1 +20142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.408115914,1 +20141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.118778066,1 +20144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.990812332,1 +20146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.997195708,1 +20143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.444518609,1 +20147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.009497866,1 +20145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.682358985,1 +20149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.585290969,1 +20150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.709828055,1 +20151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.444844638,1 +20148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.313484416,1 +20152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.265739929,1 +20153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.706900627,1 +20154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.845845154,1 +20156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.592038422,1 +20155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.892123243,1 +20157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.46532721,1 +20160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.702988126,1 +20159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.035683124,1 +20158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.57365348,1 +20161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.566597051,1 +20162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.082938337,1 +20163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,8.667794466,1 +20164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.347183471,1 +20166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.213247319,1 +20165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.344262915,1 +20167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.183218672,1 +20168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.125894994,1 +20170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.834520642,1 +20171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.929083783,1 +20172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.392067416,1 +20174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.475523938,1 +20173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.365885125,1 +20169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.664899222,1 +20175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.176626813,1 +20177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.388739784,1 +20178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.371776817,1 +20176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.975261038,1 +20179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.642571898,1 +20180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.684448295,1 +20181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.089618731,1 +20182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.731567075,1 +20184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.403673816,1 +20183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.601815148,1 +20185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.529311553,1 +20186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.029947613,1 +20187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.145943463,1 +20188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.500858753,1 +20190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.703727619,1 +20191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.194607642,1 +20189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.581055319,1 +20192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.605732393,1 +20194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.455309431,1 +20195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.761052409,1 +20193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.782400926,1 +20196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.066982489,1 +20197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.183899949,1 +20198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.580701144,1 +20201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.57749825,1 +20202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.698079331,1 +20199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.192855575,1 +20200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.092203505,1 +20203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.755803322,1 +20206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.056534012,1 +20205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.200301744,1 +20204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.839183665,1 +20209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.358738754,1 +20207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.186582173,1 +20210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.133971148,1 +20208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.55830365,1 +20212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.212507075,1 +20213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.421325793,1 +20211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.782316821,1 +20215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.480191675,1 +20214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.710468133,1 +20216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.600921034,1 +20218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.267903783,1 +20219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.492901675,1 +20217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.271687572,1 +20222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.490998744,1 +20223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.780601911,1 +20220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.587469836,1 +20221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.598469085,1 +20225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.388447025,1 +20226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.66515259,1 +20227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.870689037,1 +20228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.913793126,1 +20229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.301265191,1 +20230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.858724167,1 +20224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.322771783,1 +20232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.822589867,1 +20233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.631680282,1 +20234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.695482182,1 +20231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.14649907,1 +20237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.893449449,1 +20235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.677802153,1 +20236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.237765596,1 +20238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,1.87703822,1 +20239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.240770325,1 +20241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.123235412,1 +20240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.973997535,1 +20242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.687066234,1 +20244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.202410292,1 +20245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.305556879,1 +20246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.711656516,1 +20247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.794506273,1 +20243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.347514401,1 +20249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.494836092,1 +20251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.121383456,1 +20252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.746320592,1 +20248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.529970549,1 +20250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.634023187,1 +20253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.27584365,1 +20255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.599987476,1 +20256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.562141899,1 +20254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.488208089,1 +20258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,8.77295845,1 +20257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.168881549,1 +20259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.773654443,1 +20260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.939420682,1 +20261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.52936257,1 +20263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.648674486,1 +20264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.671091768,1 +20265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.756942689,1 +20266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.45099561,1 +20267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.767442615,1 +20262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.545736695,1 +20268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.069802743,1 +20269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.199859368,1 +20270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.203747672,1 +20271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.32007127,1 +20272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.059838119,1 +20273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.363594901,1 +20274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.966990318,1 +20275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.023190727,1 +20276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.372255275,1 +20277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.767309236,1 +20278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.544805939,1 +20280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.388858433,1 +20279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.062292886,1 +20281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.743981084,1 +20282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.089478155,1 +20283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.079346234,1 +20286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.687619565,1 +20285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.278105657,1 +20284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.190363373,1 +20287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.459886468,1 +20288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.914601634,1 +20289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.691050061,1 +20290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.880177636,1 +20292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.887023888,1 +20291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.158456045,1 +20293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.420805061,1 +20294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.164767871,1 +20295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.085551372,1 +20296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.139090839,1 +20297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.30279892,1 +20298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.609810823,1 +20299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.501080458,1 +20300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.8076974,1 +20301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.969092954,1 +20303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.139973495,1 +20304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.811477645,1 +20305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.986655742,1 +20302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.634319661,1 +20306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.136981157,1 +20307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.865754948,1 +20308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.329832959,1 +20310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.741429482,1 +20311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.520693918,1 +20312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.186487606,1 +20309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.8701677,1 +20315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.755351249,1 +20313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.081631669,1 +20314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.64801657,1 +20316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.979246198,1 +20318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.289144981,1 +20319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.678588107,1 +20317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.726364271,1 +20320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.846606547,1 +20321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.074641697,1 +20322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.521910484,1 +20323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.14585715,1 +20325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.500405348,1 +20326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.270244264,1 +20327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.603164639,1 +20328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.728732057,1 +20329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.75662359,1 +20330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.87521528,1 +20324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.618066528,1 +20333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.046390583,1 +20332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.555579009,1 +20331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.053928398,1 +20334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.049523281,1 +20335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.901270019,1 +20338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.758622715,1 +20336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.013250203,1 +20337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.81307969,1 +20340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.401886455,1 +20339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.100032673,1 +20341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.350990136,1 +20342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.27150742,1 +20343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.594313649,1 +20345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.452162897,1 +20346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.970039903,1 +20348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.410989588,1 +20347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.315040227,1 +20344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.44397227,1 +20351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.556575456,1 +20352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.88544424,1 +20353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.554868661,1 +20349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.21048346,1 +20354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.642276888,1 +20350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.874279646,1 +20355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.000501797,1 +20356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.046139368,1 +20357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.246815705,1 +20358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,8.513585904,1 +20360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.090293769,1 +20359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.31597193,1 +20362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.465958246,1 +20363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.133870456,1 +20361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.370480363,1 +20365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.220002595,1 +20364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.007804666,1 +20367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.348365791,1 +20369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.24252856,1 +20366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.273335719,1 +20368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.441411773,1 +20371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.222461141,1 +20370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.797220799,1 +20373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.7857381,1 +20372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.77435346,1 +20374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.477783974,1 +20375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.387369349,1 +20376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.373601021,1 +20377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.556190146,1 +20378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.43014151,1 +20380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.270306665,1 +20381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.9445351,1 +20382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.463589994,1 +20379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.258128583,1 +20385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.500029747,1 +20383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.820794995,1 +20386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.141864311,1 +20387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.418236474,1 +20388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.828057354,1 +20384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.664408825,1 +20389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.330738183,1 +20391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.059982867,1 +20392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.801425489,1 +20390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.460213088,1 +20393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.648777698,1 +20394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.343593283,1 +20395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.530529868,1 +20396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.738133561,1 +20398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.494584933,1 +20399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.31664069,1 +20400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.406672731,1 +20397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.649323882,1 +20403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.665991234,1 +20402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.305773892,1 +20401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.54431394,1 +20404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.106161437,1 +20405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.727319932,1 +20407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.627253001,1 +20408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.370140515,1 +20406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.890484774,1 +20409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.701788286,1 +20410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.25520633,1 +20411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.913880174,1 +20412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.211598952,1 +20413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.777693833,1 +20414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.007053678,1 +20416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.615802207,1 +20417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.346407332,1 +20419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.624923271,1 +20420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.459015808,1 +20418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.25529072,1 +20415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.670844079,1 +20423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.477637043,1 +20424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.161828071,1 +20421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.196101648,1 +20422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.983980571,1 +20425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.809463467,1 +20427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.226206546,1 +20426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.12028813,1 +20428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.006119469,1 +20429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.005984801,1 +20430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.437958003,1 +20431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.563961522,1 +20432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.46119541,1 +20433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.739464499,1 +20434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.402273411,1 +20436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.066340968,1 +20438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.244479213,1 +20437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.995240808,1 +20435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.086966635,1 +20439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.853645612,1 +20441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.40561268,1 +20440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.366532612,1 +20442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.503241716,1 +20443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.852121569,1 +20445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.124693285,1 +20444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.742883297,1 +20447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.370358436,1 +20449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.936680279,1 +20446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.332379965,1 +20448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.865640978,1 +20450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.705212397,1 +20453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.274277366,1 +20454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.825506784,1 +20452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.165801865,1 +20451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.909155976,1 +20455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.437773896,1 +20456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.210823543,1 +20457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.610693806,1 +20458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.969785704,1 +20459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.6451814,1 +20460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.122969491,1 +20462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.481898129,1 +20463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.37558348,1 +20461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.631624737,1 +20464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.743094305,1 +20465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.137750819,1 +20466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.718983874,1 +20468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.993724053,1 +20467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.19811318,1 +20469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.014230774,1 +20470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.801323927,1 +20471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.947673048,1 +20473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.456685309,1 +20474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.410206871,1 +20472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.906865898,1 +20475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.89730049,1 +20476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.863829741,1 +20477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.389400977,1 +20479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.82379084,1 +20480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.208967762,1 +20478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.278193657,1 +20481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.055910342,1 +20482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.663011024,1 +20483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.193811617,1 +20484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.60959192,1 +20485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.883200663,1 +20487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.3332679,1 +20486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.786416191,1 +20489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.18289331,1 +20490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.465552497,1 +20488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.849695649,1 +20491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.544778238,1 +20492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.543386383,1 +20493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.454480971,1 +20495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.612239983,1 +20496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.877160619,1 +20497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.027195878,1 +20498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.151450462,1 +20494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.264729817,1 +20500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.854422245,1 +20499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.772053941,1 +20501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.344056244,1 +20502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.960210473,1 +20503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.291827455,1 +20504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.521653407,1 +20505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.216627628,1 +20506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.630258873,1 +20507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.189746039,1 +20509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.501300537,1 +20508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.357551562,1 +20510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.782596047,1 +20511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.471534413,1 +20512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.659803902,1 +20513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.831034512,1 +20516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.52407772,1 +20515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.980096419,1 +20517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.05489975,1 +20514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.219362401,1 +20518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.643715406,1 +20520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.42105299,1 +20521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.767881605,1 +20522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.900368249,1 +20523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.892876826,1 +20519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.312418844,1 +20524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.398558247,1 +20525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.867587175,1 +20526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.560676137,1 +20528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.604494288,1 +20529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.969142151,1 +20530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.512859765,1 +20527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.145808336,1 +20534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.791746565,1 +20532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.625103906,1 +20533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.626790131,1 +20531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.962536107,1 +20535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.418560029,1 +20536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.302770874,1 +20537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.265005616,1 +20538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.645984368,1 +20540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.422570604,1 +20541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.539027717,1 +20542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.622865933,1 +20543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.584564517,1 +20544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.874229332,1 +20539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.577863962,1 +20545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.70895231,1 +20546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.547997316,1 +20548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.913340723,1 +20547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.711725898,1 +20549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.648369767,1 +20550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.184143,1 +20551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.130836976,1 +20552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.122006612,1 +20553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.247556293,1 +20554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.304946781,1 +20555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.289228909,1 +20556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.730937475,1 +20557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.793308029,1 +20558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.524157279,1 +20560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.025718762,1 +20561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.935315619,1 +20559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.023073585,1 +20562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.58997376,1 +20565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.590223881,1 +20563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.742328289,1 +20566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.600650216,1 +20564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.432979321,1 +20567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.809829679,1 +20569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.39986268,1 +20568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.899498948,1 +20571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.226284216,1 +20572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.638175519,1 +20570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.664906444,1 +20574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.191259406,1 +20573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.716911586,1 +20576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.358141124,1 +20575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.694456802,1 +20578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.963636801,1 +20579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.672347313,1 +20577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.545071741,1 +20581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.043780633,1 +20580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.835234699,1 +20583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.974068835,1 +20582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.089262057,1 +20585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.895542931,1 +20586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.820391676,1 +20588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.408152613,1 +20584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.084953162,1 +20587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.7014771,1 +20589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.544968337,1 +20590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.475410324,1 +20591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.182397168,1 +20595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.50832697,1 +20592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.034886728,1 +20594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.160539643,1 +20593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.883018788,1 +20596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.644015652,1 +20597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.580043511,1 +20598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.78327412,1 +20599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.069293132,1 +20600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.601081644,1 +20603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.16998133,1 +20602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.630682958,1 +20601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.970382594,1 +20604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.139163169,1 +20605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.327234864,1 +20606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.639193027,1 +20608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.06846547,1 +20611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.392063076,1 +20610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.023850593,1 +20609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.817404798,1 +20607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.448839892,1 +20612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.146969004,1 +20613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,8.476733022,1 +20614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.91153474,1 +20615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.982478048,1 +20617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.777012381,1 +20618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.422138536,1 +20619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.295249075,1 +20620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.780478799,1 +20621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.539747358,1 +20616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.266651537,1 +20624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.662473698,1 +20623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.811396359,1 +20625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.039201333,1 +20622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.172118295,1 +20627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.578662274,1 +20626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.472411495,1 +20628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.500378042,1 +20629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.94997013,1 +20630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.34536682,1 +20631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.078720729,1 +20632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.854180888,1 +20633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.070457704,1 +20634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.983405271,1 +20635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.713086618,1 +20636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.396022032,1 +20637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.356037723,1 +20638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.793514831,1 +20639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.325257411,1 +20642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.368176095,1 +20640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.914876373,1 +20643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.929890837,1 +20645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.94940477,1 +20644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.024865731,1 +20646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.499491307,1 +20647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.882125814,1 +20648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.876055822,1 +20649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.81294173,1 +20641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.786590211,1 +20651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.912727215,1 +20650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.386301789,1 +20652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.041458067,1 +20654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.498996886,1 +20653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.18759323,1 +20655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.306586848,1 +20656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.022484868,1 +20658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.771808268,1 +20657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.311207104,1 +20659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.810714604,1 +20660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.68983376,1 +20661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.102476901,1 +20662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.366899443,1 +20663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.683640881,1 +20664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.097980396,1 +20666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.602086706,1 +20667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.270339277,1 +20668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.452632797,1 +20669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.684071849,1 +20671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.703438415,1 +20665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.611201207,1 +20670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.665057044,1 +20672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.005970405,1 +20674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.631630411,1 +20673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.682375906,1 +20675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.954801928,1 +20676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.118273588,1 +20678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.073668072,1 +20677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,8.603669946,1 +20679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.311472406,1 +20680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.871948879,1 +20681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.94303882,1 +20682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.624834892,1 +20683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.745488799,1 +20684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.56198939,1 +20685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.998498214,1 +20687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.758684949,1 +20688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.332408286,1 +20686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.075520437,1 +20689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.551744504,1 +20690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.933153908,1 +20691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.541314167,1 +20693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.208173881,1 +20694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.18223744,1 +20692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.551155865,1 +20695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.805190747,1 +20697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.114395726,1 +20696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.785244098,1 +20698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.691493183,1 +20699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.747919058,1 +20700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.494437939,1 +20701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.167005725,1 +20702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.103829588,1 +20703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.504486758,1 +20704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.755284142,1 +20706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.677901546,1 +20707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.016779248,1 +20708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.647678044,1 +20709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.834700647,1 +20710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.298820264,1 +20705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.293720892,1 +20711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.71751674,1 +20713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.067486231,1 +20712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.30557733,1 +20715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.460909072,1 +20714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.285172812,1 +20716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.179599928,1 +20717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.563839659,1 +20719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.487133861,1 +20718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.513681602,1 +20720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.950203045,1 +20721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.822504063,1 +20722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.306252204,1 +20723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.574255927,1 +20724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.505566479,1 +20725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.320347806,1 +20727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.989386582,1 +20728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.538858438,1 +20726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.222714507,1 +20729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.472018657,1 +20730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.688458423,1 +20731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.444859116,1 +20733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.311843609,1 +20732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.809227003,1 +20734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.045350631,1 +20735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.159344039,1 +20737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.903972326,1 +20738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.228856415,1 +20736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.786637953,1 +20739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.81375937,1 +20740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.370423994,1 +20743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.452920152,1 +20741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.721382571,1 +20742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.633248426,1 +20744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.09357827,1 +20745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.066556848,1 +20746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.956328477,1 +20747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.787996089,1 +20749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.239080196,1 +20748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.282821608,1 +20752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.683273332,1 +20753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.467648228,1 +20751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.411048425,1 +20750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.506925302,1 +20754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.421398798,1 +20755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.982254029,1 +20757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.025111732,1 +20758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.464251941,1 +20759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.097408371,1 +20756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.848482593,1 +20761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.442158473,1 +20760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.577351013,1 +20762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.516478829,1 +20763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.709007208,1 +20765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.354673742,1 +20767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.003715532,1 +20764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.99522577,1 +20766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.598065035,1 +20769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.379067188,1 +20770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.841181372,1 +20771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.312296611,1 +20768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.841100309,1 +20772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.893893803,1 +20774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.776141149,1 +20773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.376626538,1 +20776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.656716121,1 +20778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.113294774,1 +20777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.41620134,1 +20775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.968140954,1 +20780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.511426159,1 +20782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.06539586,1 +20781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.948438248,1 +20779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.363570285,1 +20783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.419695455,1 +20785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.140598024,1 +20784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.167531369,1 +20786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.425398759,1 +20788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.01447877,1 +20790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.861973092,1 +20787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.815631457,1 +20791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.877070016,1 +20792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.427439011,1 +20789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.422623967,1 +20793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.471939501,1 +20797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.303873629,1 +20796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,1.925464591,1 +20794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.460086337,1 +20795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.85601954,1 +20798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.639828382,1 +20800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.00974654,1 +20801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.442776458,1 +20799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.645464774,1 +20803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.009499623,1 +20804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.841824682,1 +20805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.964719133,1 +20802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.113691973,1 +20806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.000753727,1 +20807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.735653675,1 +20809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.704073536,1 +20810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.159223975,1 +20811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.349344886,1 +20808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.383452137,1 +20812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.106233895,1 +20813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.485299776,1 +20814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.832191736,1 +20816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.160185289,1 +20815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,8.723298614,1 +20817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.030248721,1 +20818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.312003103,1 +20821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.416415383,1 +20820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.114248037,1 +20822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.853320677,1 +20819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.107914266,1 +20823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.698794484,1 +20825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.722293113,1 +20826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.806977418,1 +20824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.478404597,1 +20828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.086818546,1 +20827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.355257842,1 +20829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.860609938,1 +20830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.181177879,1 +20831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.484268132,1 +20832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.17586477,1 +20833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.783409348,1 +20834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,1.523590701,1 +20835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.215775002,1 +20836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.699320213,1 +20837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.753506265,1 +20839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.610163492,1 +20838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,8.25293744,1 +20840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.488431076,1 +20841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.96292282,1 +20842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.98530414,1 +20844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.775169931,1 +20845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.723791807,1 +20846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.108549202,1 +20843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.482457351,1 +20848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.657400501,1 +20849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.080140219,1 +20847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.221072423,1 +20850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.200764233,1 +20851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.884338895,1 +20852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.026934042,1 +20854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.764979845,1 +20853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.453081155,1 +20855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.069800337,1 +20856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.701715994,1 +20857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.495455145,1 +20858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.627254586,1 +20859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.877664828,1 +20860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.458213971,1 +20863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.463716465,1 +20864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.983834616,1 +20862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.807520578,1 +20865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.122739142,1 +20861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.35364073,1 +20866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.353251682,1 +20868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.572440588,1 +20869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.280375318,1 +20867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.65204043,1 +20870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.613556094,1 +20872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.552026596,1 +20873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.989559279,1 +20871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.000051067,1 +20874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.450053173,1 +20876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.383621928,1 +20877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.265103038,1 +20878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.77299881,1 +20879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.151184722,1 +20880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.455280751,1 +20881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.478251993,1 +20875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.995455318,1 +20883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.636586958,1 +20884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.125904585,1 +20885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.117774145,1 +20882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.301490056,1 +20886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.068147509,1 +20887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.000981186,1 +20888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.72912699,1 +20889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.121132509,1 +20890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.140109593,1 +20891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.338055592,1 +20892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.644087329,1 +20893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.797946819,1 +20894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.258949815,1 +20895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.929691632,1 +20898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.514280903,1 +20897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.534357293,1 +20899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.666304764,1 +20900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.554134295,1 +20896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.948766501,1 +20902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.953698731,1 +20901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.205893921,1 +20903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.270860939,1 +20904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.302287937,1 +20905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.854883633,1 +20906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.42935937,1 +20907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.037646948,1 +20909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.786857471,1 +20908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.465293151,1 +20910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.395999659,1 +20911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.483984445,1 +20912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.768536998,1 +20913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.994535745,1 +20914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.372063535,1 +20915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.44970735,1 +20916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.396920377,1 +20918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.985212939,1 +20917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.490130484,1 +20920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.560183415,1 +20919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.153507553,1 +20921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.291034792,1 +20922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.585500244,1 +20923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.252215559,1 +20925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.343543101,1 +20924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.245854809,1 +20926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.001907106,1 +20927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.89386806,1 +20928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.299794456,1 +20931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.486443786,1 +20930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.387278715,1 +20929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.319727397,1 +20932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.537359873,1 +20935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.43837648,1 +20934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.626852152,1 +20933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.454098899,1 +20936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.469310594,1 +20938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.471950425,1 +20939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.424288819,1 +20940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.230970305,1 +20937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.078937996,1 +20942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.538535463,1 +20941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.179314675,1 +20943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.809138282,1 +20945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.10891647,1 +20944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.021146689,1 +20947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.081572815,1 +20946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.694530558,1 +20949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.71296807,1 +20948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.866903056,1 +20950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.098730715,1 +20951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.168390843,1 +20952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.6029881,1 +20953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.394741513,1 +20954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.44619662,1 +20956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.490290442,1 +20957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.103355785,1 +20955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.611884048,1 +20958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.047824302,1 +20959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.174687132,1 +20962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.998922048,1 +20961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.825088241,1 +20960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.379849916,1 +20963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.004448938,1 +20964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.500210892,1 +20966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.741786331,1 +20967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,7.036200911,1 +20965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.783837468,1 +20968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.551669832,1 +20969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.491425469,1 +20970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.777991073,1 +20972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.97982234,1 +20973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.311181557,1 +20971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.041445643,1 +20974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.307211253,1 +20975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.333483165,1 +20976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.009943483,1 +20977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.81357783,1 +20979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.803608265,1 +20978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.297785093,1 +20980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.371750052,1 +20981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.959693754,1 +20982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.76887824,1 +20983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.321150149,1 +20984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.756999588,1 +20986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.767835188,1 +20987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,2.94480138,1 +20988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.954158372,1 +20990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.674121603,1 +20989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.15553897,1 +20985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.124635382,1 +20993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.563543627,1 +20991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.607899696,1 +20992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.431235939,1 +20994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.146393394,1 +20996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.457818417,1 +20995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,3.935112214,1 +20997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.110104742,1 +20998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,6.359674721,1 +20999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,4.382664818,1 +21000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,1,1,5.374219629,1 +30001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.100663497,1 +30002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.561929183,1 +30004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.58141181,1 +30005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.61946512,1 +30008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.189318223,1 +30007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.597825967,1 +30003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.647359095,1 +30006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.661053498,1 +30009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.455863237,1 +30012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.146892578,1 +30010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.742622747,1 +30011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.806277816,1 +30013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.951938302,1 +30014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.651577609,1 +30015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.789705276,1 +30016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.728900351,1 +30017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.230514301,1 +30019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.642580609,1 +30018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.591831783,1 +30020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.206088725,1 +30022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.735196463,1 +30021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.426215819,1 +30024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.354494894,1 +30025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.522661205,1 +30023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.074180731,1 +30026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.153959051,1 +30027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.587412582,1 +30029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.26715094,1 +30028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.841941434,1 +30030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.876927732,1 +30032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.822980159,1 +30031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.549639236,1 +30033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.502794686,1 +30034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.809185513,1 +30037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.846836786,1 +30035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.228562059,1 +30038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.391647793,1 +30039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.157543051,1 +30036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.479783615,1 +30040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.809019978,1 +30041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.077689614,1 +30043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.494773402,1 +30042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.781422393,1 +30044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.22716887,1 +30045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.297170113,1 +30047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.635534543,1 +30046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.4285271,1 +30048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,8.663180846,1 +30049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.914351735,1 +30051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.029046911,1 +30050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.874435095,1 +30052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.569219652,1 +30054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.39344465,1 +30053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,8.367872402,1 +30055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.400545347,1 +30056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.469722116,1 +30057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.61267395,1 +30059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.89998319,1 +30060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.62927989,1 +30061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.640018928,1 +30058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.065937445,1 +30062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.225298438,1 +30063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.147620188,1 +30064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.462482747,1 +30067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.299161699,1 +30068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.041463055,1 +30066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.676642276,1 +30065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.741467822,1 +30069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.113231326,1 +30070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.05225351,1 +30072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.709012815,1 +30071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.754996609,1 +30073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.507601261,1 +30075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.975734125,1 +30074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.965663047,1 +30076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.294092185,1 +30077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.824712999,1 +30079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.547157543,1 +30082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.431850969,1 +30081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.327645382,1 +30078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.379003429,1 +30080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.376037177,1 +30086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.909601678,1 +30085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.498043684,1 +30083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.657760188,1 +30084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.58053096,1 +30087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.615227743,1 +30088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.263284812,1 +30089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.340982814,1 +30090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.3972052,1 +30091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.547588049,1 +30092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.848478985,1 +30093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.878654033,1 +30094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.181353838,1 +30097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,1.590087645,1 +30098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.883735424,1 +30095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.056314068,1 +30099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.500587513,1 +30100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.015845376,1 +30096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.605877163,1 +30101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.695924421,1 +30104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.725191214,1 +30103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.794413955,1 +30102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.22079645,1 +30105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.463282477,1 +30106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.912279925,1 +30108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.156531834,1 +30107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.800775847,1 +30109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.650367462,1 +30110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.718870038,1 +30111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.180733503,1 +30112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.85888924,1 +30113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.067385059,1 +30116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.405994517,1 +30115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.098866558,1 +30114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.839956162,1 +30117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.850155955,1 +30119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.146271653,1 +30118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.806111969,1 +30120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.59630984,1 +30122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.167246302,1 +30123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.372818291,1 +30124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.824517989,1 +30125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.84871633,1 +30126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.285525363,1 +30127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.380609778,1 +30121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.379943046,1 +30128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.528477631,1 +30129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.690275015,1 +30131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.01598577,1 +30132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.390394946,1 +30130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.086817241,1 +30133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.712070212,1 +30134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.922013644,1 +30136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.449437254,1 +30135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.900846301,1 +30137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.387817729,1 +30139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.122501843,1 +30140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.474975545,1 +30141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.534450491,1 +30142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.537978745,1 +30143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.285301606,1 +30144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.009366992,1 +30145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.152475283,1 +30146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.366038574,1 +30138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.692081236,1 +30147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.113195947,1 +30148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.310223986,1 +30150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.484081259,1 +30149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.633980963,1 +30151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.903487217,1 +30152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.375881065,1 +30153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.603338331,1 +30154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.297313064,1 +30155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.151624585,1 +30156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.321236888,1 +30157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.746939935,1 +30159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.961916045,1 +30158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.853771495,1 +30160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.979261417,1 +30163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.571833788,1 +30162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.423311727,1 +30161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.822759503,1 +30164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.753880887,1 +30166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.206984046,1 +30167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.065392073,1 +30168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.637337812,1 +30169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.676175739,1 +30165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.217569955,1 +30170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.201886235,1 +30171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.942617767,1 +30172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.298781385,1 +30174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.966857905,1 +30175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,8.70484525,1 +30176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.205469746,1 +30173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.200640259,1 +30179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.786268836,1 +30180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.53495373,1 +30178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.778443206,1 +30177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.127457641,1 +30181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.026262514,1 +30183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.329916367,1 +30182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.215040125,1 +30184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.324168768,1 +30186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.874794091,1 +30187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.851265597,1 +30188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,9.709476689,1 +30185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.518479429,1 +30189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.146093114,1 +30190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.432320177,1 +30192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.684412279,1 +30191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.528989332,1 +30193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.92502379,1 +30194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.526287726,1 +30195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.821604497,1 +30196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.400264727,1 +30197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.067795965,1 +30198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.736776471,1 +30199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.905323475,1 +30201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.771924228,1 +30200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.418363345,1 +30202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.383620337,1 +30203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.126126285,1 +30205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.10922296,1 +30204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.833907479,1 +30206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.56741683,1 +30208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.528572018,1 +30210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.55311993,1 +30207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.436449737,1 +30209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.916030863,1 +30212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.421261264,1 +30213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.341434062,1 +30211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.891617749,1 +30214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.495498204,1 +30215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.220947102,1 +30217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.314704891,1 +30216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.633636736,1 +30219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.237953508,1 +30221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.394557159,1 +30220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.753775665,1 +30218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.675166218,1 +30224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.846046197,1 +30222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.838858934,1 +30225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.257986483,1 +30223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.632504604,1 +30226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.445135307,1 +30227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.327185132,1 +30229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.714144089,1 +30230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.860144709,1 +30231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.637521793,1 +30228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.864312297,1 +30232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.769468942,1 +30233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.125917913,1 +30234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.327472892,1 +30236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.542952953,1 +30237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.876430993,1 +30235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.64665506,1 +30238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.416578865,1 +30239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.322145089,1 +30241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.427271192,1 +30240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.901663315,1 +30242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.149201538,1 +30243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.218285653,1 +30244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.525642299,1 +30245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.961570413,1 +30246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.180007677,1 +30247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.41964349,1 +30249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.850018283,1 +30250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.935128663,1 +30251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.669626908,1 +30252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.598042331,1 +30253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.76811341,1 +30248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.653282545,1 +30254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.418838005,1 +30255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.41138454,1 +30257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.544321665,1 +30256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.506525667,1 +30258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.092672208,1 +30260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.410648984,1 +30261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.289000233,1 +30259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.772062155,1 +30262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.659911888,1 +30265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.488857986,1 +30266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.392128337,1 +30264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.061373001,1 +30263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.034786446,1 +30267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.98181622,1 +30268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.881039469,1 +30269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.230899454,1 +30271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.549171275,1 +30270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.346782506,1 +30272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.264460451,1 +30273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.879793692,1 +30274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.759527193,1 +30275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.671188691,1 +30276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.996062401,1 +30278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.020250237,1 +30277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.453784657,1 +30280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.003181382,1 +30279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.328067452,1 +30281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.101146736,1 +30283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.758925208,1 +30282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.755539143,1 +30284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.625887289,1 +30286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.467051149,1 +30285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.27066894,1 +30287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.735216639,1 +30288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.416296154,1 +30289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.885801302,1 +30290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.42491314,1 +30291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.407684706,1 +30293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.197538568,1 +30294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.263303976,1 +30292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.578398564,1 +30297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.081223555,1 +30296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.087975481,1 +30298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.269377011,1 +30299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.171475303,1 +30295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.944990201,1 +30300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.741664602,1 +30301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.605135093,1 +30303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.650131518,1 +30302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.890735165,1 +30304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.198507364,1 +30305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.455014603,1 +30306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.458604373,1 +30307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.659901483,1 +30308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.601258596,1 +30310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.719849446,1 +30309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.351557299,1 +30311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.335849204,1 +30312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.037401587,1 +30315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.276812664,1 +30314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.730000115,1 +30316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.911741884,1 +30313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.324090036,1 +30317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.36987859,1 +30318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.695315931,1 +30319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.677565037,1 +30320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.07285791,1 +30321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.675476284,1 +30323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.882251844,1 +30322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.579339019,1 +30324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.583418978,1 +30325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.534127089,1 +30326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.304828204,1 +30328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.162611077,1 +30329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.982068177,1 +30327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.937641002,1 +30330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.992726933,1 +30332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.273039235,1 +30333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.386166763,1 +30331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.062258264,1 +30334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.998709768,1 +30335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.468414605,1 +30337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.358464334,1 +30339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.280802368,1 +30338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.740170072,1 +30340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.045614814,1 +30336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.953283508,1 +30341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.957992717,1 +30342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.741939455,1 +30343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.013410305,1 +30345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.204555446,1 +30344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.087292549,1 +30346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.545194645,1 +30347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.623090665,1 +30349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.566147382,1 +30350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.893734639,1 +30351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.606540389,1 +30348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.864905359,1 +30352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.18245268,1 +30354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.658444905,1 +30355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.305749226,1 +30353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.567453972,1 +30357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.295439474,1 +30358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.54099341,1 +30359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.660977267,1 +30361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.896946337,1 +30362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.146231648,1 +30356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.573488904,1 +30360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.828307036,1 +30364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.959550684,1 +30363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.442281218,1 +30365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.793219359,1 +30366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.771553169,1 +30367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.014396383,1 +30368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.127743998,1 +30369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.002909523,1 +30370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.035106884,1 +30371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.721392327,1 +30372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.353977033,1 +30373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.179439428,1 +30374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.869151022,1 +30375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,8.226937122,1 +30376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.628697449,1 +30379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.082985925,1 +30378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.074815125,1 +30380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.995281263,1 +30377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.659142025,1 +30382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.263000561,1 +30381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.749205138,1 +30383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.567544577,1 +30384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.18575204,1 +30385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.081712976,1 +30386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.582640976,1 +30387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.781974103,1 +30389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.573386266,1 +30388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.364452182,1 +30390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.926034927,1 +30391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.362876704,1 +30392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.525835402,1 +30393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.210107287,1 +30394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.83299142,1 +30396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.168404511,1 +30395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.849299089,1 +30397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.948537359,1 +30399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.699713487,1 +30400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.087217538,1 +30401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,9.792945371,1 +30398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.409109928,1 +30403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.915941233,1 +30402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.530306882,1 +30404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.783425478,1 +30406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.320388251,1 +30405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.18288056,1 +30407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.747765512,1 +30409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.79074553,1 +30410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.203676361,1 +30408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.832762745,1 +30411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.33963387,1 +30412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.562309329,1 +30413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.7696302,1 +30415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.54936529,1 +30414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.147764711,1 +30416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.748236083,1 +30418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.202913329,1 +30419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.550689779,1 +30420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.606747038,1 +30417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.980721723,1 +30421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.705431097,1 +30422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.549885258,1 +30423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.974567362,1 +30424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.509887879,1 +30426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.762998061,1 +30425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.923187487,1 +30427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.901120649,1 +30428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.708375947,1 +30429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.345990447,1 +30430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.720211504,1 +30431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.752643597,1 +30432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.473381236,1 +30433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.029489399,1 +30434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.176968555,1 +30435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.884884772,1 +30437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.640095127,1 +30438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.939579308,1 +30439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.60602015,1 +30436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.482607679,1 +30440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.28983477,1 +30442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.368492795,1 +30443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.871784904,1 +30444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.680421404,1 +30445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.168909731,1 +30446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.804470497,1 +30447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.779839719,1 +30448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.127672956,1 +30441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.279419041,1 +30449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.13056752,1 +30451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.116373049,1 +30450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.672225325,1 +30452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.920691136,1 +30453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.702052339,1 +30454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.108015991,1 +30456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.583159365,1 +30455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.259619867,1 +30457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.121020237,1 +30459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.13587906,1 +30460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.856702337,1 +30458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.212944234,1 +30461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.830947903,1 +30462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.524539729,1 +30463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.989511271,1 +30465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.015485839,1 +30466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.135526848,1 +30467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.876622673,1 +30464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.12709936,1 +30468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.225240118,1 +30470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.027504885,1 +30469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.494901245,1 +30471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.15880032,1 +30473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.185593786,1 +30472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.241836559,1 +30474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.448947549,1 +30475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.911883354,1 +30476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.825678708,1 +30477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.192352446,1 +30478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.457219991,1 +30480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.401269038,1 +30479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.009121477,1 +30481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.509491073,1 +30482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.511461534,1 +30483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.384912057,1 +30485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.97252888,1 +30486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.970563779,1 +30487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.517903672,1 +30488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.750070048,1 +30484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.854421724,1 +30490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.988269284,1 +30491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.675515587,1 +30492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.185288811,1 +30489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.946011725,1 +30494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.118295208,1 +30495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.675444628,1 +30493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.391823199,1 +30496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.982536229,1 +30497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.425628879,1 +30499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.988329407,1 +30500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.673687108,1 +30498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.138479777,1 +30501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.42990711,1 +30503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.301104126,1 +30505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.801219526,1 +30502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.541145612,1 +30507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.924827748,1 +30504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.871444586,1 +30508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.083386371,1 +30506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.18402435,1 +30509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.394401879,1 +30511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.89825728,1 +30512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.12232124,1 +30510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.836153311,1 +30513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.482801222,1 +30514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.950212881,1 +30515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.368518395,1 +30518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.23477601,1 +30516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.708428682,1 +30519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.287529023,1 +30517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.892310175,1 +30523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.669062669,1 +30520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.226970881,1 +30522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.506831198,1 +30521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.35514675,1 +30524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.124421239,1 +30525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.353025295,1 +30526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.468024441,1 +30528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.583217,1 +30529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.433518419,1 +30527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.899589943,1 +30530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.792700901,1 +30532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.904986153,1 +30531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.324732935,1 +30533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.931884484,1 +30534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.162096228,1 +30536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.019575029,1 +30537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.17086258,1 +30539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.492396182,1 +30535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.000494815,1 +30538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.56645193,1 +30541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.331267108,1 +30542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.506056931,1 +30543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.48590875,1 +30540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.909908964,1 +30545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.227715845,1 +30546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.206329635,1 +30544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.307034276,1 +30548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.521704652,1 +30547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.703168127,1 +30549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.771915505,1 +30550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.291826214,1 +30552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.940291982,1 +30554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.704214706,1 +30551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.274624329,1 +30555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.772445835,1 +30556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.170147829,1 +30553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.363297037,1 +30557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.355877261,1 +30559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.93334325,1 +30560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.24188822,1 +30561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.191141408,1 +30558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.113257412,1 +30563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.841560763,1 +30564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.218470913,1 +30562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.991295237,1 +30566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.315802508,1 +30565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.190493744,1 +30567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.530187408,1 +30568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.82464077,1 +30569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.871749421,1 +30570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.162437803,1 +30571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.227141543,1 +30574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.507696991,1 +30575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.113159619,1 +30573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.204057576,1 +30572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.257683485,1 +30578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,8.022513929,1 +30577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.686782048,1 +30579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.448334225,1 +30576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.414171464,1 +30580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.857564151,1 +30581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.394094887,1 +30582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.980761503,1 +30584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.560261148,1 +30583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.689537994,1 +30585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.681108264,1 +30586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.906870517,1 +30588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.789615438,1 +30589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.431722973,1 +30587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.93732433,1 +30590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.638336965,1 +30592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.407587599,1 +30591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.604417893,1 +30594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.617536201,1 +30593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.582216247,1 +30595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.537263816,1 +30597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.390301685,1 +30598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.465145045,1 +30599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.377938448,1 +30600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.811549762,1 +30601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.621241186,1 +30602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.092562319,1 +30596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.181175298,1 +30605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.61034515,1 +30606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.463905155,1 +30603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.145554954,1 +30604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.311764509,1 +30607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.866992104,1 +30610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.427474401,1 +30609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.362271553,1 +30611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.554774583,1 +30608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.502982566,1 +30613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.539837645,1 +30612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.181981591,1 +30614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.685972655,1 +30615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.887534803,1 +30616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.324928594,1 +30617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.46868124,1 +30618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.35199832,1 +30621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.963195514,1 +30620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.137981781,1 +30619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,8.082968671,1 +30622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.368165283,1 +30625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.917248787,1 +30623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.464091253,1 +30624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.492943216,1 +30626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.626682996,1 +30627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.112327263,1 +30629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.099899249,1 +30628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.434506363,1 +30630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.833720953,1 +30631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.096470617,1 +30632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.923288673,1 +30633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.495438715,1 +30634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.652170038,1 +30636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.501385379,1 +30638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.887344948,1 +30637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.995520963,1 +30635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.294425233,1 +30639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.857216352,1 +30640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.22600582,1 +30641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.723850704,1 +30643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.539841292,1 +30642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.303277714,1 +30644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.811092903,1 +30645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.944295027,1 +30646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.711347694,1 +30647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.26966932,1 +30648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.423395839,1 +30649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.764794013,1 +30650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.685408534,1 +30651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.257453985,1 +30652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.353538789,1 +30653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.45465649,1 +30656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.821832697,1 +30654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.642048968,1 +30655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.157239834,1 +30657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.112825498,1 +30658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.678223915,1 +30659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.905555604,1 +30661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.576780721,1 +30660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.076781825,1 +30663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.427189421,1 +30664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.335979313,1 +30662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.7946743,1 +30665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.124852735,1 +30666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.722409276,1 +30668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.800847578,1 +30667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.374703194,1 +30669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.358714899,1 +30670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.580919987,1 +30671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.423305229,1 +30672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.377504427,1 +30674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,1.6322837,1 +30675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.676707243,1 +30676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.637887724,1 +30677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.036398303,1 +30678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.448712214,1 +30679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.76529701,1 +30673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.586965539,1 +30681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.983585858,1 +30680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.765278386,1 +30682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.026875731,1 +30685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.835752876,1 +30684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.671436192,1 +30683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.98428867,1 +30686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.210114248,1 +30688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.435068232,1 +30687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.738625556,1 +30689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.782321486,1 +30690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.380182922,1 +30692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.318524223,1 +30691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.017443926,1 +30693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.791659766,1 +30694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.44544444,1 +30696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.707587677,1 +30695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.046748615,1 +30699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,8.617530762,1 +30700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.358885303,1 +30698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.720527897,1 +30703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.707623129,1 +30697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.340061206,1 +30701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.336254012,1 +30702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,8.293032422,1 +30706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.621691854,1 +30707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.196301506,1 +30705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.308585945,1 +30708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.465690717,1 +30704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.92114728,1 +30709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.287483789,1 +30710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.315692873,1 +30713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.396788232,1 +30711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.835278633,1 +30714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.796773301,1 +30712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.678695081,1 +30716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.277603994,1 +30715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.734293947,1 +30718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.918780719,1 +30719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.756528003,1 +30717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.677315816,1 +30720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.518498194,1 +30721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.766141964,1 +30722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.542951023,1 +30723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.476311247,1 +30724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.375338713,1 +30726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.006955834,1 +30727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.395439521,1 +30728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.38718076,1 +30729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.843255516,1 +30725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.396520682,1 +30731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.925304493,1 +30730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.674556672,1 +30733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.827024706,1 +30732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.828991139,1 +30734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.326822793,1 +30735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.057060949,1 +30736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.725047525,1 +30737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.937042064,1 +30738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.672250734,1 +30739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.449698645,1 +30740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.711331285,1 +30741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,8.196805146,1 +30742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.814965655,1 +30743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.388387834,1 +30745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.251816638,1 +30746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.550436846,1 +30744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.104765445,1 +30749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.271272954,1 +30748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.680714118,1 +30750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.049924418,1 +30747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.86086074,1 +30751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.809838698,1 +30752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.147029128,1 +30753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.610081186,1 +30755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.13028741,1 +30754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.260151991,1 +30757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.246755149,1 +30756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.302445385,1 +30758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,8.398138243,1 +30759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.03754009,1 +30761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.336260915,1 +30760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.091288666,1 +30763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.394420234,1 +30762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.543008801,1 +30765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.067321934,1 +30767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.436428258,1 +30764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.397835529,1 +30768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.96970688,1 +30769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.805184466,1 +30766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.711716463,1 +30771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.954303472,1 +30772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.536453458,1 +30773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.032704853,1 +30770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.562594518,1 +30775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.448202365,1 +30774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.169879227,1 +30776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.303647814,1 +30777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.547232021,1 +30779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.841481653,1 +30780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.147815588,1 +30778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.176286418,1 +30781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.825368703,1 +30784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.31886155,1 +30785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.506271279,1 +30783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.44238175,1 +30786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.7001844,1 +30787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.695082399,1 +30788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.839297307,1 +30782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.495575788,1 +30789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.426512463,1 +30790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.681136032,1 +30791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.920699289,1 +30792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.553250126,1 +30793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.170748442,1 +30794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.455120555,1 +30795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.967935955,1 +30797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.203804696,1 +30796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,8.05057632,1 +30798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.311607181,1 +30799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.883895569,1 +30800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.863049824,1 +30802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.817820142,1 +30801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.75685883,1 +30804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.157553406,1 +30805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.162780151,1 +30803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.632092269,1 +30807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.200699293,1 +30808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.864083465,1 +30806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.365364336,1 +30810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.201639724,1 +30811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.8708386,1 +30809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.688603595,1 +30812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.124598703,1 +30813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.6968125,1 +30815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.343813665,1 +30814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.98994442,1 +30818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.670828618,1 +30817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.20921268,1 +30819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.520681286,1 +30816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.051472908,1 +30820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.940206807,1 +30821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.753441236,1 +30823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.367103176,1 +30822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.042083491,1 +30825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.343608754,1 +30826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.158019347,1 +30824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.047626102,1 +30828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.043822085,1 +30827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.434570091,1 +30829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.066413341,1 +30830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.36363377,1 +30831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.552851975,1 +30832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.440654189,1 +30834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.026610528,1 +30836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.889460702,1 +30833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.914637658,1 +30835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.765431806,1 +30837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.73849312,1 +30839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.500119789,1 +30840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.327294759,1 +30838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.860636511,1 +30841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.300704854,1 +30842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.29455783,1 +30843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.660244001,1 +30844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.431472963,1 +30845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.337459247,1 +30847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.756254328,1 +30846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.505016056,1 +30848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.402332605,1 +30849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.812601759,1 +30850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.649492531,1 +30851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.846326757,1 +30853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.305776629,1 +30852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.525517128,1 +30854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.814909658,1 +30855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.695678279,1 +30856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.59775736,1 +30857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.278514122,1 +30858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.775156927,1 +30859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.226306174,1 +30860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.247703708,1 +30862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.031162391,1 +30863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.482196823,1 +30864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.179272738,1 +30861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.998104927,1 +30867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.972294327,1 +30868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.541346314,1 +30865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.099794337,1 +30866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.976000755,1 +30869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.869340451,1 +30871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.994485771,1 +30872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.659657162,1 +30873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.2778589,1 +30870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.176088576,1 +30874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.878795617,1 +30875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.896589011,1 +30876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.85024706,1 +30878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.329906564,1 +30879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.708362176,1 +30877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.908178101,1 +30880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,9.106449219,1 +30881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.424732442,1 +30882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.617253281,1 +30884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.740639746,1 +30883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.540681019,1 +30885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.4671121,1 +30886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.056982695,1 +30887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.986838557,1 +30888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.961062705,1 +30889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.731786216,1 +30891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.255975952,1 +30890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.127461691,1 +30893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.973337435,1 +30895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.499271979,1 +30894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.804098426,1 +30896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.605092969,1 +30892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.38520017,1 +30898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.051501438,1 +30897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.798761477,1 +30899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.636559182,1 +30902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.77671614,1 +30901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.813533352,1 +30900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.773031576,1 +30903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.768505756,1 +30904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.236113359,1 +30905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.182757733,1 +30907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.041525295,1 +30906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.805597079,1 +30908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.129117131,1 +30910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.907479425,1 +30909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.050167864,1 +30911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.265132002,1 +30912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.30085042,1 +30913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.814574944,1 +30914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.980105662,1 +30917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.136949075,1 +30915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.28684301,1 +30916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.416486016,1 +30919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.803316098,1 +30918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.271243291,1 +30921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.719874087,1 +30920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.357320647,1 +30922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.118365918,1 +30924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.554155591,1 +30923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.981613369,1 +30925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.862420758,1 +30926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.920667139,1 +30927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.39495995,1 +30929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.336331826,1 +30928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.86649302,1 +30930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.539463148,1 +30931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.153596243,1 +30933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.26016811,1 +30934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.033133369,1 +30932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.327494696,1 +30935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.085792194,1 +30936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.494809594,1 +30937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.024442506,1 +30938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.216397146,1 +30939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.226507466,1 +30941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.656596245,1 +30942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.011771396,1 +30943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.408611219,1 +30944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.441122719,1 +30940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.2250037,1 +30948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.505125756,1 +30945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.40933316,1 +30946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.262050039,1 +30947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.581335331,1 +30949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.648460475,1 +30950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.480813447,1 +30951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.491612145,1 +30952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.73890727,1 +30953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.732328907,1 +30955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.966864763,1 +30954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.803411929,1 +30956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.786211849,1 +30958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.968252202,1 +30960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.4229329,1 +30959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.084440598,1 +30957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.966079406,1 +30961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.508959177,1 +30962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.303537753,1 +30964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.834788558,1 +30965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.962526413,1 +30966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.269386178,1 +30963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.244236882,1 +30967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.959400143,1 +30969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.914411921,1 +30968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.916760088,1 +30971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.672785975,1 +30972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.203753516,1 +30973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.405248672,1 +30970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.81779697,1 +30975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.574044873,1 +30976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.772165322,1 +30974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.489847838,1 +30977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.376942674,1 +30978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.498635441,1 +30979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.596500558,1 +30980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.938177658,1 +30981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.044134393,1 +30982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.943196606,1 +30983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.261450974,1 +30984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.750294999,1 +30986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,7.411469157,1 +30987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,2.200154189,1 +30988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.733153058,1 +30989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.824460444,1 +30990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.966613136,1 +30991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.410438778,1 +30985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.196623252,1 +30992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.297861006,1 +30993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.794714794,1 +30995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.156869447,1 +30994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.961027948,1 +30999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.543441926,1 +30998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,4.195942162,1 +30996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,3.343586348,1 +30997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,6.952426109,1 +31000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,1,1,5.113349453,1 +40001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.032282137,1 +40003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.193846994,1 +40004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.505203726,1 +40005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.903068042,1 +40007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.33481663,1 +40006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.685579054,1 +40002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.843251081,1 +40009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.60248866,1 +40010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.890042908,1 +40011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.685873771,1 +40013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.558803475,1 +40014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.642141096,1 +40012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.814017657,1 +40008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.343843663,1 +40015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.332136331,1 +40016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.155789148,1 +40017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.892891985,1 +40018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.024460735,1 +40020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.689212895,1 +40019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.721590235,1 +40022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.454895822,1 +40021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.565837836,1 +40023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.598626352,1 +40024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.509415255,1 +40025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.837877602,1 +40026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.975246248,1 +40027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.7058456,1 +40028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.545633464,1 +40030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.572962913,1 +40031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.434823637,1 +40032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.864061562,1 +40033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.716086616,1 +40035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.74450853,1 +40029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.330880834,1 +40034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.099711868,1 +40036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.011302305,1 +40038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.493504886,1 +40037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.783689399,1 +40039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.008190522,1 +40040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.055142428,1 +40041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.079986883,1 +40042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.403913786,1 +40043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.496559392,1 +40044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.299828503,1 +40045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.202731226,1 +40047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.018258027,1 +40046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.622853558,1 +40048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.774396202,1 +40049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.615311243,1 +40050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.939316873,1 +40052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.473569605,1 +40051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,8.566602764,1 +40053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.669352799,1 +40054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.274789023,1 +40057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.562418572,1 +40056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.77273382,1 +40058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.984917284,1 +40055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.723752191,1 +40059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.013593917,1 +40060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.824099739,1 +40061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.714772536,1 +40063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.166699207,1 +40065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.937799772,1 +40062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.644941776,1 +40066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.073482121,1 +40064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.809807345,1 +40068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.762622664,1 +40067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.424147306,1 +40071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.953605684,1 +40069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.014012069,1 +40070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.55046501,1 +40072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.903662943,1 +40074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.435312161,1 +40075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.332852792,1 +40076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.173716257,1 +40073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.774341684,1 +40077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.215607654,1 +40078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.335345203,1 +40079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.775995282,1 +40081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.649312003,1 +40080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.853726313,1 +40083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.229806504,1 +40082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.830774605,1 +40084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.247202755,1 +40085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.613601643,1 +40086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.297009679,1 +40087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.976259386,1 +40088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,1.924630538,1 +40089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.127856782,1 +40090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.326732062,1 +40091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.349966653,1 +40092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.862259401,1 +40094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.860862397,1 +40096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.125993766,1 +40095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.984058208,1 +40093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.093782515,1 +40098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.50183346,1 +40097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.156540698,1 +40100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.518824937,1 +40099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.759876976,1 +40101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.799120058,1 +40102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.475810795,1 +40103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.103010495,1 +40104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.975986516,1 +40105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.081790856,1 +40107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.129391778,1 +40106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.689758967,1 +40108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.960176684,1 +40109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.877337294,1 +40110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.84067505,1 +40111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.588936008,1 +40112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.730779243,1 +40113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.458931944,1 +40115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.036491091,1 +40114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.222542201,1 +40116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.869976739,1 +40117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.418701871,1 +40118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.224358142,1 +40119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.240895729,1 +40120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.294535209,1 +40121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.372349831,1 +40122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.17124355,1 +40123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.380925729,1 +40125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.570956356,1 +40126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.644901324,1 +40124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.825037949,1 +40127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.883801492,1 +40128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.787842052,1 +40129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.714824281,1 +40131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.372892296,1 +40132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.503661672,1 +40133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.953091764,1 +40134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.968957477,1 +40130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.439791319,1 +40135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.437184009,1 +40136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.488815721,1 +40137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.010183566,1 +40139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.068790676,1 +40140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.666588975,1 +40141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.584477465,1 +40138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.655570284,1 +40143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.188289891,1 +40142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,8.286984649,1 +40144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.362504325,1 +40145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.325860931,1 +40146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.178317009,1 +40147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.281006218,1 +40148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.632165217,1 +40149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.942698098,1 +40150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.653261092,1 +40151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.229841599,1 +40152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.302694656,1 +40154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.60136109,1 +40155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.017616767,1 +40156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.736825629,1 +40157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.95404425,1 +40158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.330564673,1 +40153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.830837081,1 +40159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.858315858,1 +40160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.374848621,1 +40161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.566389463,1 +40162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.89392103,1 +40163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,8.452631011,1 +40164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.310350977,1 +40165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.546068454,1 +40166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.677781693,1 +40167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.711932614,1 +40168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.430841227,1 +40169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.501396437,1 +40170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.917138885,1 +40171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.495862153,1 +40172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.694130151,1 +40173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.662177366,1 +40175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.432040767,1 +40176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.32212799,1 +40174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.267055927,1 +40178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.887941349,1 +40177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.104653509,1 +40179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.488160359,1 +40181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.410495715,1 +40180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.116761043,1 +40183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.443246054,1 +40182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.780546439,1 +40184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.310573184,1 +40185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.683186329,1 +40186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.311099504,1 +40188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.112348084,1 +40189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.942384085,1 +40190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.786534114,1 +40187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.754142636,1 +40194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.679891926,1 +40191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.296223845,1 +40193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.110141644,1 +40192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.24214034,1 +40196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.923207842,1 +40197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.494687507,1 +40198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.468170504,1 +40199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.915272841,1 +40200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.576714666,1 +40195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.856955241,1 +40201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.253544584,1 +40202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.890712174,1 +40203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.455770509,1 +40204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.013547211,1 +40205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.449469063,1 +40206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.947032278,1 +40207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.109384814,1 +40208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.542195589,1 +40210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.688170884,1 +40212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.547136678,1 +40209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.420577027,1 +40211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.846263998,1 +40213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.936037152,1 +40215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.69604605,1 +40216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.757878526,1 +40214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.512194776,1 +40217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.482631099,1 +40218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.904663592,1 +40219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.644386592,1 +40221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.38704836,1 +40222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.36267068,1 +40220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.959322095,1 +40223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.26069121,1 +40224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.719226448,1 +40225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.428480623,1 +40226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.912826824,1 +40228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.363849745,1 +40229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.058141603,1 +40230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.217640967,1 +40232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.371580542,1 +40227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.856644714,1 +40231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.435620018,1 +40233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.378107403,1 +40234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.865875128,1 +40236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.193477154,1 +40235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.109790409,1 +40237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.28162174,1 +40238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.805067406,1 +40239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.938987294,1 +40240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.676716782,1 +40241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.529067214,1 +40242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.512270664,1 +40244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.730685361,1 +40243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.843700877,1 +40245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.39846564,1 +40246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.768952893,1 +40247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.356834879,1 +40249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.098057025,1 +40250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.714142669,1 +40251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.706919914,1 +40248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.651980841,1 +40252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.356715957,1 +40253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.007925161,1 +40254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.083543915,1 +40255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.940536091,1 +40256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.945069261,1 +40257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.589678998,1 +40258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.703027341,1 +40259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.288667812,1 +40260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.615819711,1 +40262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.66574203,1 +40261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.593613247,1 +40264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.689558946,1 +40265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.834967235,1 +40266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.922155499,1 +40267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.855118786,1 +40268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.07623398,1 +40269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.603574009,1 +40263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.917590167,1 +40270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.086953194,1 +40271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.221318429,1 +40272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.287032108,1 +40273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.31640728,1 +40274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.36910385,1 +40275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.17233285,1 +40276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.508922187,1 +40278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.844070697,1 +40277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.601747951,1 +40279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.322759175,1 +40280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.048551307,1 +40281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.890343106,1 +40282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.622948462,1 +40284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.040179649,1 +40283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.861856868,1 +40285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.058868152,1 +40286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.63858056,1 +40287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.901869457,1 +40288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.62785917,1 +40289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.605300331,1 +40291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.898488757,1 +40292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.86837451,1 +40290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.032468387,1 +40293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.75035659,1 +40295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.18326206,1 +40294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.262101877,1 +40296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.816072606,1 +40299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.235946587,1 +40298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.78358246,1 +40297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.826331454,1 +40301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.479982811,1 +40300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.836780571,1 +40303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.857304498,1 +40302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.379786121,1 +40304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.559685573,1 +40306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.888205971,1 +40307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.505861467,1 +40308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.274584373,1 +40309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.313117413,1 +40310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.655487977,1 +40311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.009806517,1 +40305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.294659906,1 +40313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.738475569,1 +40312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.621226974,1 +40314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.31570539,1 +40317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.484420156,1 +40316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.757523279,1 +40315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.058678692,1 +40318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.822274253,1 +40320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.818177508,1 +40321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.058017088,1 +40322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.6892087,1 +40323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.850471502,1 +40324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.45304103,1 +40319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.373760546,1 +40325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.61247008,1 +40326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.888367002,1 +40328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.411975794,1 +40329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.315758352,1 +40330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.249611586,1 +40331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.611717126,1 +40327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.090019062,1 +40333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.551301792,1 +40332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.065731653,1 +40334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,8.18513003,1 +40336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.323301243,1 +40337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.249657268,1 +40335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.073215307,1 +40340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.052863986,1 +40339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.919192687,1 +40341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.840384028,1 +40342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.4574077,1 +40343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.339825618,1 +40338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.642812758,1 +40344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.326349233,1 +40345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.606071801,1 +40347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.679562098,1 +40346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.386198261,1 +40348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.108405683,1 +40350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.952565631,1 +40349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.679838991,1 +40351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.19763551,1 +40353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.717439648,1 +40352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.74762835,1 +40354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.752404528,1 +40355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.141130516,1 +40357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.609571255,1 +40356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.638837879,1 +40359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.435124902,1 +40360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.960037667,1 +40361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.804030215,1 +40358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.611737627,1 +40362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.180583714,1 +40364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.212634483,1 +40365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.56774224,1 +40363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.2060479,1 +40366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.337585979,1 +40367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,1.980251022,1 +40368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.748684093,1 +40369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.440083651,1 +40370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.239496973,1 +40371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.282924655,1 +40374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.771338191,1 +40372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.187491367,1 +40373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.410204226,1 +40375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.922028358,1 +40376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.330886324,1 +40377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.871634611,1 +40379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.488149287,1 +40380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.934667072,1 +40381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.628207841,1 +40378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.429882248,1 +40382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.69035128,1 +40383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.249969512,1 +40384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.649918906,1 +40386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.402049396,1 +40388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.357414599,1 +40387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.854879988,1 +40385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.893731475,1 +40389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.984096718,1 +40391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.154728956,1 +40390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.798311906,1 +40392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.697996923,1 +40393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.523341328,1 +40395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.897893749,1 +40394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.553210511,1 +40396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.69618034,1 +40397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,8.480950801,1 +40398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.765682713,1 +40399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.229241247,1 +40401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,8.136010764,1 +40402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.464739205,1 +40403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.341575288,1 +40404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.902287312,1 +40405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.407478687,1 +40406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.012448141,1 +40400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.092362882,1 +40407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.646298941,1 +40410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.520768925,1 +40409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.145319098,1 +40408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,8.028595662,1 +40411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.362339597,1 +40412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.927788913,1 +40413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,8.235425878,1 +40414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.715193874,1 +40415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.764199904,1 +40416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.032416451,1 +40417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.132115207,1 +40418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.465229808,1 +40419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.496766577,1 +40421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.160982016,1 +40422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.509444422,1 +40423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.189685707,1 +40424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.840916828,1 +40425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.677569386,1 +40426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.724425473,1 +40420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.293905657,1 +40427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.769959192,1 +40428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.786580319,1 +40429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.97310225,1 +40430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.824872479,1 +40431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.182591067,1 +40433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.012477518,1 +40432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.132998992,1 +40434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.057524407,1 +40435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.187587052,1 +40437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.096352077,1 +40436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.474587285,1 +40438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.845914648,1 +40439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.982977065,1 +40440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.53306742,1 +40441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.890493441,1 +40443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.522048863,1 +40445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.198806538,1 +40444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.561050679,1 +40446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.412121327,1 +40448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.648750934,1 +40447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.405839763,1 +40442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.700986159,1 +40449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.707210196,1 +40450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.603022214,1 +40451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.123932177,1 +40452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.730187823,1 +40453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.560339749,1 +40454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.112971879,1 +40455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.156901718,1 +40456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,8.399610253,1 +40457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.802401406,1 +40458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.310261269,1 +40459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.803347853,1 +40461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.763273146,1 +40462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.77036634,1 +40460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.926573657,1 +40463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.177217611,1 +40464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.880871384,1 +40465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.804740217,1 +40467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.13544113,1 +40468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.530510039,1 +40469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.749223594,1 +40470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.60441609,1 +40466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.800751683,1 +40471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.323106104,1 +40472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,8.331282153,1 +40473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.513026349,1 +40474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.017966791,1 +40475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.80037147,1 +40476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.894028047,1 +40477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.399897607,1 +40479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.083877705,1 +40480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.695283545,1 +40478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.565365653,1 +40481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.413211919,1 +40483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.926447327,1 +40482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.235176837,1 +40484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.820258113,1 +40485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.183379121,1 +40486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.329304666,1 +40487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.08029092,1 +40488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.517809599,1 +40489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.198073511,1 +40490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.272780737,1 +40491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.135879377,1 +40493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.897800844,1 +40492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.894699191,1 +40494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.218754326,1 +40495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.772492374,1 +40496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.115052143,1 +40498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.534610274,1 +40497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.144198144,1 +40499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.799192364,1 +40500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.024742845,1 +40501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.761465585,1 +40502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.831143391,1 +40504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.686131229,1 +40505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.099105254,1 +40503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.446810275,1 +40507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.388341666,1 +40506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.311928438,1 +40508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.115352845,1 +40510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.918478204,1 +40511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.24290759,1 +40512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.850793206,1 +40509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.818450828,1 +40513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.100628854,1 +40514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,9.408659147,1 +40515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.45813394,1 +40516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.960300101,1 +40517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.776018651,1 +40518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.326267538,1 +40519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.567669716,1 +40520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.319722289,1 +40521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.928119807,1 +40523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.202954847,1 +40522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.65475668,1 +40525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.93527498,1 +40526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.453491023,1 +40524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.412295419,1 +40527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.079031368,1 +40528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.03359481,1 +40529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.726252014,1 +40531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.625297207,1 +40530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.4447307,1 +40532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.04422025,1 +40535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.491900018,1 +40533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.61747338,1 +40534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.99486149,1 +40536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.501906871,1 +40538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.445212204,1 +40537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.848228992,1 +40539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.518833415,1 +40541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.862866447,1 +40540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.561742406,1 +40542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.781345109,1 +40543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.148629652,1 +40545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.058191976,1 +40546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.124864421,1 +40547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.886883597,1 +40548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.638448177,1 +40544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.755485708,1 +40550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.391505773,1 +40549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.722991382,1 +40551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.024944136,1 +40552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.971559785,1 +40554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.544984655,1 +40555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.800305329,1 +40556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.987599515,1 +40557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.570596128,1 +40558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.124716022,1 +40559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.685016862,1 +40553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.211562524,1 +40560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.193354854,1 +40561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.402484099,1 +40563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.585725128,1 +40562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.569370436,1 +40565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.421300315,1 +40566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.519821686,1 +40564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.36768727,1 +40567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.69907616,1 +40568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.683597293,1 +40569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.685927701,1 +40570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.477412657,1 +40571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.235633872,1 +40572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.473160607,1 +40573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.256962126,1 +40574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.880880209,1 +40576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.930608779,1 +40578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.198427766,1 +40575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.617129717,1 +40577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.788685645,1 +40579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.481884971,1 +40581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.324270516,1 +40582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.887201321,1 +40583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.685742587,1 +40584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.334971596,1 +40585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.31794861,1 +40580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.470533811,1 +40586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.693781307,1 +40587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.111612323,1 +40588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.829983132,1 +40590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.131501142,1 +40589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.396615733,1 +40592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.842365003,1 +40593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.091927522,1 +40591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.424480266,1 +40594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.355636341,1 +40595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.591291441,1 +40596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.692012942,1 +40597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.689141618,1 +40599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.494882297,1 +40600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.629127854,1 +40601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.638518465,1 +40598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.591302838,1 +40602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.492642183,1 +40603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.522982691,1 +40604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.00867488,1 +40606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.493510789,1 +40607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.422876405,1 +40608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.371411873,1 +40605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.313370683,1 +40611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.354729835,1 +40609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.758351266,1 +40610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.350886373,1 +40612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.673018388,1 +40614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.002824207,1 +40615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.412720116,1 +40613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.353117422,1 +40616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.330449503,1 +40618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.432862333,1 +40619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.740156383,1 +40617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.28596517,1 +40621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.515244583,1 +40620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.715762906,1 +40622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.093473718,1 +40623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.333596587,1 +40624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.96134667,1 +40627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.707308624,1 +40625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.932677093,1 +40626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.467135331,1 +40628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.904495456,1 +40629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.838179292,1 +40630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.627954631,1 +40631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.105095421,1 +40632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.037926469,1 +40635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.796393961,1 +40633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.969625092,1 +40634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.543542639,1 +40636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.371809998,1 +40638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.173654551,1 +40637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.316179171,1 +40639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.833734683,1 +40640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.284989954,1 +40641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.468679301,1 +40642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.109112148,1 +40644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.327302931,1 +40643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.904730801,1 +40645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.209036715,1 +40646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.517566265,1 +40649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.656728542,1 +40648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.874814466,1 +40650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.072611967,1 +40647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.626405958,1 +40651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.058728789,1 +40652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.539131286,1 +40653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.554375353,1 +40654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.070366079,1 +40655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.788517726,1 +40658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.360920776,1 +40657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.1662798,1 +40656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.574106052,1 +40659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.131281766,1 +40661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.530466635,1 +40663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.359247014,1 +40660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.322334043,1 +40662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.017641966,1 +40664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.010115932,1 +40666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.858773339,1 +40665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.842991328,1 +40668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.940062868,1 +40667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.526225212,1 +40669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.247311611,1 +40670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.840065271,1 +40674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.268148139,1 +40671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.996531108,1 +40673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.022576304,1 +40672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.351814081,1 +40675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.731621623,1 +40676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.787119236,1 +40677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.583679199,1 +40680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.665310995,1 +40679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,10.01446258,1 +40681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.49489548,1 +40682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.363276498,1 +40678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.551206565,1 +40684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.159434591,1 +40683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.231101656,1 +40686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.869784272,1 +40685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.714904538,1 +40687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.031735733,1 +40688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.923644172,1 +40689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.296528852,1 +40690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.045047328,1 +40691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.746732779,1 +40692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.276250761,1 +40693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,8.198519312,1 +40695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.855567479,1 +40694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.945920367,1 +40699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.73872848,1 +40698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.262893727,1 +40696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.059720279,1 +40700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.939397964,1 +40697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.917089058,1 +40702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.600964867,1 +40701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.174392445,1 +40704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.629453928,1 +40705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.548533825,1 +40703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.855860516,1 +40706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.494644665,1 +40708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.844968467,1 +40710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.675745126,1 +40709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.455798996,1 +40707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.519974766,1 +40711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.955629859,1 +40712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.646488797,1 +40713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,8.580984762,1 +40714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.917456968,1 +40716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.063142448,1 +40717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.88820491,1 +40715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.132982548,1 +40718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.971996832,1 +40719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.848692178,1 +40720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.979970771,1 +40721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.115908228,1 +40722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.818526319,1 +40723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.42773225,1 +40724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.419862309,1 +40725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.147166939,1 +40726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.057188899,1 +40727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.752324013,1 +40728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.775931268,1 +40729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.905570717,1 +40731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.421426182,1 +40730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.187003212,1 +40732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.827453674,1 +40733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.358026458,1 +40734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.499384543,1 +40737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.216643465,1 +40738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.682665983,1 +40739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.800595785,1 +40735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.192327821,1 +40740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.19555548,1 +40736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.504573331,1 +40741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.903339943,1 +40743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.957018666,1 +40744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.702055433,1 +40745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.84691746,1 +40742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.459418776,1 +40746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.68263213,1 +40747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.170389589,1 +40749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.706231963,1 +40748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.294598619,1 +40750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.201946926,1 +40751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.307200641,1 +40752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.727910896,1 +40753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.403966155,1 +40754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.036976479,1 +40755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.766104919,1 +40757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.428531537,1 +40758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.210106485,1 +40756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.884988377,1 +40760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.219741765,1 +40761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.730323214,1 +40759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.58050065,1 +40762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.115572807,1 +40763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.855624714,1 +40764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.224761445,1 +40765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.883095072,1 +40766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.78516947,1 +40767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.060327396,1 +40768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.381049443,1 +40769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.608446304,1 +40770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.981891246,1 +40771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.996343479,1 +40773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.459818176,1 +40772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.165181862,1 +40775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.614722083,1 +40777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.357452947,1 +40778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.781847176,1 +40774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.663282627,1 +40779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.369548026,1 +40776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.441796864,1 +40781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,8.380175201,1 +40780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.509000121,1 +40782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.710981509,1 +40783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.611692487,1 +40784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.426124192,1 +40785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.260630721,1 +40786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.576063665,1 +40787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.672685888,1 +40789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.613525448,1 +40788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.028466104,1 +40790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.60966619,1 +40791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.243109975,1 +40792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.992432105,1 +40794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.915228191,1 +40795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.91460834,1 +40796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,8.182601994,1 +40797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.510427433,1 +40793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,1.574814929,1 +40798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.147417824,1 +40799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.400295504,1 +40800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.941289697,1 +40802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.052563915,1 +40803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.274251701,1 +40801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.560855353,1 +40804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.921991391,1 +40806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.131633757,1 +40805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.808470603,1 +40807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.220027845,1 +40808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.979093243,1 +40809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.810909736,1 +40810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.458075576,1 +40811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.345184999,1 +40812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.27829178,1 +40813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.561310479,1 +40814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.731938336,1 +40816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.938498696,1 +40817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.483877814,1 +40818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.866250553,1 +40819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.725378297,1 +40815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.851446173,1 +40820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.74234254,1 +40821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.916357042,1 +40822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.83536781,1 +40823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.439135283,1 +40825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.463524095,1 +40824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.259445379,1 +40826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.127509156,1 +40827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.744198938,1 +40828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.908747065,1 +40829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.63886254,1 +40830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.266125401,1 +40832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.681693199,1 +40834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.446246128,1 +40833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.705612561,1 +40835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.332138082,1 +40831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.212435771,1 +40836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.39293302,1 +40837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.724258534,1 +40838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.81655365,1 +40840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.853846775,1 +40841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.788775085,1 +40839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.000594503,1 +40842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.178302663,1 +40843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.520615291,1 +40844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.360231169,1 +40845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.790259377,1 +40847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.574487825,1 +40846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.55997902,1 +40849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.256613187,1 +40851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.102008626,1 +40850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.209508665,1 +40848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.16657101,1 +40854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.666374287,1 +40853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.394308323,1 +40855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.805337924,1 +40852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.564068122,1 +40857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.373817008,1 +40858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.773479129,1 +40856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.551294356,1 +40859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.142899517,1 +40860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.017861592,1 +40861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.88171248,1 +40862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.041569429,1 +40864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.365740806,1 +40863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.608371657,1 +40865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.906873216,1 +40866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.43776746,1 +40870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.418585432,1 +40868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,8.116696436,1 +40869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.311895788,1 +40871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.652270233,1 +40873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.351094051,1 +40867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.055339637,1 +40872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.453449254,1 +40876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.205009747,1 +40875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.238493434,1 +40874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.856272652,1 +40877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.855742104,1 +40878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.649996725,1 +40879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.848145422,1 +40880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.356339098,1 +40881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.133100173,1 +40882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.052700664,1 +40884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.505281465,1 +40885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.705389513,1 +40883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.741499633,1 +40887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.858721913,1 +40888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.513235927,1 +40889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.260309295,1 +40886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.041849497,1 +40890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.45370817,1 +40891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.900394127,1 +40893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.042674971,1 +40894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.587158167,1 +40892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.596905294,1 +40895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.67883123,1 +40896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.474947192,1 +40897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.384312049,1 +40899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.981130625,1 +40898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.905286043,1 +40900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,8.358615514,1 +40901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.421957676,1 +40902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.255176138,1 +40903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.725544285,1 +40905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.684368477,1 +40904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.385540524,1 +40907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.283127097,1 +40906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.714582494,1 +40908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.468734144,1 +40909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.112868151,1 +40912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.579384588,1 +40911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.340017785,1 +40913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.894588702,1 +40910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.365716413,1 +40914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.50533362,1 +40915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,9.401585637,1 +40916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.169006177,1 +40918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.867376554,1 +40919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.650546767,1 +40917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.442711048,1 +40920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.265289511,1 +40923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.713814306,1 +40921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.205216506,1 +40924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.229271935,1 +40925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.714165106,1 +40922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.655673736,1 +40926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.9287426,1 +40927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.4312794,1 +40928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.040289497,1 +40929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.113867847,1 +40931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.203700469,1 +40933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.81162685,1 +40930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.006988867,1 +40934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.665694164,1 +40932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.692068613,1 +40936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.422692723,1 +40938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,1.843649766,1 +40935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.142767613,1 +40937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.308345468,1 +40939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,7.043194882,1 +40941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.955992372,1 +40940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.396753919,1 +40942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.752507116,1 +40944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.390346743,1 +40945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.180555964,1 +40943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.962309279,1 +40946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.509755685,1 +40947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.927081344,1 +40950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.363752943,1 +40949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.27885611,1 +40948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.024366086,1 +40951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.559815197,1 +40953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.583410314,1 +40952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.358363887,1 +40954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.438307537,1 +40955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.486275374,1 +40956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.818714608,1 +40957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.950525534,1 +40958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.153633507,1 +40959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.17581603,1 +40961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,2.22365034,1 +40962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.571209175,1 +40963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.722215756,1 +40964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.415373042,1 +40960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.594824084,1 +40966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.70266631,1 +40965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.831982908,1 +40968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.160113686,1 +40967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.320337188,1 +40970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.504397381,1 +40969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.244728847,1 +40971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.594365524,1 +40972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.139892201,1 +40973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.738142408,1 +40974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.608534907,1 +40976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.359503916,1 +40975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.131390442,1 +40977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.214216466,1 +40978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.451469977,1 +40979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.767237084,1 +40981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.385971644,1 +40982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.972316268,1 +40980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.586800964,1 +40983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.229705879,1 +40985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.84150641,1 +40986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.515512582,1 +40987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.05422768,1 +40984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.719585275,1 +40988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.572243392,1 +40991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.730071676,1 +40990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.352043592,1 +40989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.167737091,1 +40992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.946546457,1 +40993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.822686738,1 +40994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,6.191767253,1 +40996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.538238735,1 +40995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.645808694,1 +40997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,3.931099583,1 +40998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,10.47583129,1 +40999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,4.171625493,1 +41000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,1,1,5.069076225,1 +50001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.321179531,1 +50002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.486266429,1 +50003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.654908106,1 +50005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.132568249,1 +50007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.018046027,1 +50006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.905828353,1 +50004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.567637954,1 +50009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.122968223,1 +50010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.208508105,1 +50008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.255510083,1 +50011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.221173628,1 +50014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.916121683,1 +50013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,1.180858395,1 +50015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.983079202,1 +50012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.325118192,1 +50016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.323576251,1 +50018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.552264166,1 +50019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.348489782,1 +50020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.376719568,1 +50022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.498136157,1 +50021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.078415233,1 +50017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.520897416,1 +50024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.022029095,1 +50023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.169251916,1 +50026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.9219777,1 +50025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.880038576,1 +50027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.160803964,1 +50028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.058991704,1 +50029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.510821299,1 +50030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.681684586,1 +50032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.01387616,1 +50033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.536554622,1 +50034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.709491039,1 +50031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.152212847,1 +50035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.720426072,1 +50037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.132071567,1 +50038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.656466271,1 +50039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.30709789,1 +50040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.469042869,1 +50036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,8.621027346,1 +50041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.437922881,1 +50042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.216833791,1 +50045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.022202007,1 +50043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.431804275,1 +50044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.46913436,1 +50046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.149459368,1 +50048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.55281868,1 +50049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.152610238,1 +50050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.509508141,1 +50047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.478959465,1 +50051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.425675741,1 +50054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.633626267,1 +50052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.636603161,1 +50053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.509007661,1 +50055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.211229086,1 +50056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.238722397,1 +50059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.933061974,1 +50058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.525298044,1 +50057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.032207373,1 +50060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.935167733,1 +50061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.169731908,1 +50062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.900823139,1 +50063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.24774448,1 +50065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.553910926,1 +50066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.192911478,1 +50067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.948605902,1 +50064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.370683315,1 +50069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.075546568,1 +50068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.112769195,1 +50071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.462242264,1 +50072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.377618973,1 +50073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.896814846,1 +50074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.58651903,1 +50075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.342455753,1 +50076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.803713526,1 +50070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.53355177,1 +50077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.190857062,1 +50078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.277167279,1 +50079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,8.339469865,1 +50081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.348647518,1 +50080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.574399537,1 +50082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.827194233,1 +50083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.918847371,1 +50084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.853280233,1 +50085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.19783079,1 +50087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.27649202,1 +50086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.303362563,1 +50089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.728555889,1 +50088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.100845611,1 +50090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.757569636,1 +50091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.088296872,1 +50093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.322725641,1 +50095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.606328271,1 +50094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.207766778,1 +50096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.183734123,1 +50098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.516776103,1 +50097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.748094576,1 +50092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.625140297,1 +50099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.561211534,1 +50100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.166301001,1 +50102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.960168774,1 +50101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.07134449,1 +50103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.905376645,1 +50104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.338583064,1 +50106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.401077929,1 +50105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.378970442,1 +50108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.409508469,1 +50107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.380217752,1 +50109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.733687058,1 +50110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.150291837,1 +50111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.680740008,1 +50112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.954685787,1 +50113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.066402103,1 +50116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.1923652,1 +50115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.804137891,1 +50114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.323024561,1 +50118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.59057389,1 +50117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.865334423,1 +50119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.351983776,1 +50120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.239188001,1 +50121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.740972769,1 +50123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.959112323,1 +50124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.673968122,1 +50125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.504003946,1 +50122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.67472655,1 +50126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.305345105,1 +50127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.255267854,1 +50128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.580102106,1 +50129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.686314294,1 +50130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.384064971,1 +50133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.359550728,1 +50134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.570599508,1 +50132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.926214293,1 +50131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.376294239,1 +50136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.791592516,1 +50137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.973742668,1 +50138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,1.822600515,1 +50135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.501494016,1 +50139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.754955146,1 +50140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.388114766,1 +50141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.675959606,1 +50144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.87400321,1 +50142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.480533003,1 +50145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.304908253,1 +50143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.044434882,1 +50146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.689960261,1 +50147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.950770755,1 +50149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.328075102,1 +50148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.777470698,1 +50150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.737446814,1 +50151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.224997128,1 +50152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.135571996,1 +50154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.829493719,1 +50153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.386958909,1 +50155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.902871449,1 +50156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.385695028,1 +50157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.404021024,1 +50158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.745251007,1 +50160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.016018013,1 +50161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.808348822,1 +50159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.135333529,1 +50162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.10080779,1 +50163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.074317544,1 +50164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.692100893,1 +50165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.337784068,1 +50167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.674073984,1 +50168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.98729535,1 +50169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.310583962,1 +50166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.646500436,1 +50170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.664141791,1 +50171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.628419777,1 +50172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.697517855,1 +50174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.166013213,1 +50173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.552057212,1 +50175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,8.153022451,1 +50176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.771181099,1 +50178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.182011484,1 +50177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.123736306,1 +50179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.374995928,1 +50180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.000920379,1 +50181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.923945516,1 +50182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.7328153,1 +50183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.015448019,1 +50184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.785811171,1 +50185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.134180967,1 +50186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.001270946,1 +50187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.623590561,1 +50188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.612507082,1 +50189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.902208738,1 +50190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.836838787,1 +50193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.753838973,1 +50191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.031231291,1 +50192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.807320495,1 +50194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.630635991,1 +50195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.693355288,1 +50196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.467832223,1 +50198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.394247412,1 +50197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.281645866,1 +50199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.64796065,1 +50201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.585242734,1 +50200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.036159929,1 +50202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.871046587,1 +50203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.055996901,1 +50204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.188713441,1 +50206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.71526731,1 +50207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.089471625,1 +50205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.633236036,1 +50209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.902817722,1 +50208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.154121079,1 +50210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.060206355,1 +50212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.335506504,1 +50211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.513585926,1 +50213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.842859005,1 +50214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.448005295,1 +50215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.10477601,1 +50217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.863843165,1 +50216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.105932842,1 +50218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.167901153,1 +50219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.922123146,1 +50220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.056468221,1 +50222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.835396123,1 +50221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.091463135,1 +50223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.100729663,1 +50224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.137048682,1 +50227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.386531845,1 +50225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.969341848,1 +50228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.687768576,1 +50226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.267742672,1 +50229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.556549189,1 +50230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.775028741,1 +50231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.813954585,1 +50233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.932183578,1 +50234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.398819818,1 +50235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.612138831,1 +50232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.357475991,1 +50236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,8.563649823,1 +50237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.422332152,1 +50238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.560859948,1 +50239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.570975277,1 +50241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.376534311,1 +50240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.566831199,1 +50242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.243205222,1 +50243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.27540725,1 +50244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.384172051,1 +50245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.332613336,1 +50246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.095498316,1 +50247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.130764246,1 +50249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.710634297,1 +50250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.69859997,1 +50251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.522301238,1 +50252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.089640792,1 +50248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.686219859,1 +50253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.092727326,1 +50255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.613032391,1 +50254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.410780748,1 +50256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.951162247,1 +50257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.341816653,1 +50258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.218936695,1 +50259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.543724472,1 +50260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.485619748,1 +50261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.987117539,1 +50262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.804151239,1 +50263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.153931056,1 +50264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.047016386,1 +50265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.179401823,1 +50266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.134469556,1 +50267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.988314421,1 +50269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.425960368,1 +50271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.18716431,1 +50270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.674174426,1 +50272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.486557456,1 +50268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.272882774,1 +50273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.005183001,1 +50274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,8.0545608,1 +50275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.913638249,1 +50276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.97116978,1 +50278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.224897647,1 +50277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,1.906930979,1 +50279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.952628603,1 +50280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.548058339,1 +50281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.283651885,1 +50282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.187426311,1 +50283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.400080174,1 +50285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.543871271,1 +50286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.094165956,1 +50284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.054890715,1 +50290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.469258998,1 +50287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.097059519,1 +50289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.267828148,1 +50291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.007461788,1 +50292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.457023082,1 +50293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.281513369,1 +50288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.384790446,1 +50294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.960985461,1 +50295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.173347742,1 +50296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.574382055,1 +50297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.468394787,1 +50299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.177293709,1 +50300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.501138852,1 +50301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,1.980260925,1 +50298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.743515897,1 +50304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.342772682,1 +50302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.306767472,1 +50303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.352183321,1 +50305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.769196366,1 +50308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.762110417,1 +50307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.756606332,1 +50309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.607004188,1 +50310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.006517527,1 +50306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.097365678,1 +50311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.29774292,1 +50312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.768682589,1 +50313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.708306609,1 +50315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.945838877,1 +50314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.961500943,1 +50316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,9.300252138,1 +50319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.068176481,1 +50317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.941124422,1 +50320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.882116629,1 +50321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.256005385,1 +50318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.68895655,1 +50322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.617349149,1 +50323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.726126292,1 +50326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.745226712,1 +50325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.240415725,1 +50327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.40630866,1 +50328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.902732673,1 +50329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.043516105,1 +50324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.57775106,1 +50332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.200017789,1 +50333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.618679805,1 +50330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.658913277,1 +50331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.140634953,1 +50335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.917920223,1 +50334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.388560039,1 +50336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.164974047,1 +50338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.824911943,1 +50337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.915718823,1 +50340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.642130333,1 +50341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.965822657,1 +50342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.950898519,1 +50339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.394658637,1 +50343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.215490863,1 +50345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.236764216,1 +50346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.69812781,1 +50344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.820365023,1 +50348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.368692343,1 +50347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.988849168,1 +50349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.557651351,1 +50350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.910429409,1 +50352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.191479528,1 +50353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.870319762,1 +50354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.699413157,1 +50356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.753277847,1 +50351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.192516008,1 +50357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.530319654,1 +50355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.421566531,1 +50359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.211015168,1 +50358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.74862386,1 +50361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.421643996,1 +50362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.717220672,1 +50360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.816737639,1 +50363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.359277573,1 +50364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.887474049,1 +50365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.614272129,1 +50366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.533024831,1 +50367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.458582465,1 +50368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.294728444,1 +50370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.355133917,1 +50371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.86605765,1 +50373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.607737931,1 +50369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.660027739,1 +50372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.208061887,1 +50374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.429916996,1 +50376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.620712251,1 +50377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.290446063,1 +50375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.455075037,1 +50379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.34994565,1 +50378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.405115394,1 +50380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.455009585,1 +50381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.882790727,1 +50382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.236668098,1 +50383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.248869066,1 +50384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.427122497,1 +50385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.208259132,1 +50387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.987506224,1 +50389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.505110692,1 +50386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.600309523,1 +50388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.980312752,1 +50391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.299987588,1 +50390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,1.835011538,1 +50392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.109665816,1 +50393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.807473267,1 +50394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.748202644,1 +50396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.034098125,1 +50395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.438880057,1 +50397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.20215626,1 +50398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.056186987,1 +50399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,8.101044291,1 +50400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.061135906,1 +50401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.245989717,1 +50402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.627036583,1 +50403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.757206195,1 +50404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,1.966176193,1 +50406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.002931426,1 +50405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.975887089,1 +50408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.928262249,1 +50407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.15711858,1 +50409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.968855788,1 +50410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.094499287,1 +50413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.070402078,1 +50412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.934261576,1 +50414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.749457644,1 +50415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.545108162,1 +50416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.495417818,1 +50417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.240177032,1 +50411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.542773469,1 +50419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.401160967,1 +50418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.615139438,1 +50420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.073748675,1 +50421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.116745795,1 +50423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.668915675,1 +50422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.985047285,1 +50424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.866675779,1 +50425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.605394905,1 +50426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.667836958,1 +50428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.302425355,1 +50427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.464217746,1 +50430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.852712857,1 +50432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.956052261,1 +50431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.794374726,1 +50433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.560423797,1 +50435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.403831472,1 +50434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.341694927,1 +50429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.801487795,1 +50436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.923994096,1 +50439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.689114082,1 +50437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.566517252,1 +50438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.816802483,1 +50441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.189446337,1 +50440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.805728146,1 +50442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.875551625,1 +50443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.151072921,1 +50444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.422055107,1 +50445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.433640046,1 +50446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.142265411,1 +50447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.502192771,1 +50449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.645741199,1 +50450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.100017276,1 +50451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.473929736,1 +50452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.697042615,1 +50448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.92871389,1 +50454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.722130568,1 +50453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.184060467,1 +50456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.0122763,1 +50455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.025391722,1 +50458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.97282965,1 +50457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.483304962,1 +50460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.739361281,1 +50459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.302547086,1 +50462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.8719132,1 +50461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.790923302,1 +50463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.852229145,1 +50464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.702243632,1 +50465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.809916753,1 +50467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.337734161,1 +50466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.53286429,1 +50470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.630151861,1 +50468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.058056675,1 +50469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.930402022,1 +50471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.940196375,1 +50472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,1.680908939,1 +50473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.206305703,1 +50474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.733238663,1 +50475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.882932544,1 +50476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.042215694,1 +50477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.238308383,1 +50478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.518238712,1 +50479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.201638005,1 +50480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.089764153,1 +50483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.752706734,1 +50482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.152833753,1 +50481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.257330608,1 +50484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.051561068,1 +50485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.547726753,1 +50487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.198474445,1 +50488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.134506535,1 +50489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.455747939,1 +50486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.91241565,1 +50491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.98359535,1 +50490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.46756297,1 +50492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.880009212,1 +50494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.220722601,1 +50493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.481496828,1 +50496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.757634375,1 +50495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.051649153,1 +50497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.07568669,1 +50498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.06355494,1 +50500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.89755992,1 +50499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.436771543,1 +50502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.719068394,1 +50501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.401070075,1 +50504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.757508936,1 +50503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.375011224,1 +50505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.80676561,1 +50506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.617384393,1 +50507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.476671544,1 +50510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.128018904,1 +50508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,8.145640549,1 +50511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.924878372,1 +50512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.399136668,1 +50514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.878846332,1 +50513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.306891519,1 +50509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.95810142,1 +50517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.70834873,1 +50518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.7664239,1 +50515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.203918177,1 +50516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.273988888,1 +50521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.324805784,1 +50520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.895088246,1 +50522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.309901694,1 +50523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.212350504,1 +50524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.385987758,1 +50525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.627046117,1 +50519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.911219299,1 +50526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.207357709,1 +50528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.485054743,1 +50529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.530189662,1 +50527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,9.22879969,1 +50530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.720284165,1 +50531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.711808442,1 +50533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.170980222,1 +50532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.877702657,1 +50534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.230729125,1 +50535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.556088162,1 +50536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.583381041,1 +50537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.753341088,1 +50538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.982201599,1 +50539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.686681554,1 +50541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.270782818,1 +50542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.312357513,1 +50543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.449828551,1 +50545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.889238694,1 +50540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.103548081,1 +50544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.501030664,1 +50546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.963243249,1 +50548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.682566175,1 +50547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.953700426,1 +50549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.218389665,1 +50550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.861797624,1 +50551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.483700197,1 +50553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.379495472,1 +50552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.483265419,1 +50554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.471861977,1 +50556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.009937955,1 +50557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.31879892,1 +50558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.667294557,1 +50555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.558402732,1 +50560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.920479408,1 +50561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.783059503,1 +50559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.532457974,1 +50563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.500556083,1 +50562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.307533346,1 +50564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.949670536,1 +50565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.275220753,1 +50566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.880815808,1 +50567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.749742149,1 +50568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.486281634,1 +50569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.824362219,1 +50570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.486741749,1 +50571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.106434526,1 +50572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.763221455,1 +50573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.111595139,1 +50574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.591434164,1 +50576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.373799925,1 +50577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.565423121,1 +50575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.416178478,1 +50578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.861448883,1 +50579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.987467382,1 +50582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.698270999,1 +50581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.659540132,1 +50583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.024414698,1 +50584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.1862666,1 +50585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.543772634,1 +50586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.85635595,1 +50580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.058162732,1 +50587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.42958957,1 +50588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.576693918,1 +50589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.015954001,1 +50591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.461605674,1 +50590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,8.383806837,1 +50593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.284135493,1 +50594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.840757678,1 +50592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.735694167,1 +50595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.69471553,1 +50596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.977534565,1 +50597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.762526295,1 +50599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.324173967,1 +50598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.24650456,1 +50600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.058132832,1 +50601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.834156206,1 +50603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.731996089,1 +50604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.08963917,1 +50605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.776124485,1 +50602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.222136518,1 +50606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.124938927,1 +50609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.215143102,1 +50607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.03249003,1 +50608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.720623547,1 +50611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.946338053,1 +50612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.229305081,1 +50613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.32246569,1 +50610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.583370659,1 +50614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.290057273,1 +50615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.317864749,1 +50616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.237086024,1 +50619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.612810742,1 +50617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.798166355,1 +50620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.6174687,1 +50618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.559122098,1 +50622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.910013658,1 +50624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.864864736,1 +50621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.022588565,1 +50623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.188748748,1 +50625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.300266873,1 +50626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.168419593,1 +50628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.276499002,1 +50627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.721888748,1 +50631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.019263595,1 +50630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.989271722,1 +50632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.463003632,1 +50629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.985389379,1 +50633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.40165069,1 +50635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.853056997,1 +50634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.831713039,1 +50636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.480191864,1 +50637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.618778323,1 +50638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.718809341,1 +50639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.806155841,1 +50640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.509568351,1 +50641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.156652641,1 +50642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.034628556,1 +50643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.376451893,1 +50644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.67527406,1 +50645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.185771274,1 +50646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.074416162,1 +50647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.646053286,1 +50649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.276367294,1 +50650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.935895161,1 +50651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.783024043,1 +50652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.768911075,1 +50648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.920778917,1 +50653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.80076295,1 +50655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.758546655,1 +50656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.951882369,1 +50654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.015044396,1 +50657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.88681896,1 +50658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.104542142,1 +50659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.604043443,1 +50660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.551704389,1 +50661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.557977256,1 +50662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.843113207,1 +50663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.276368155,1 +50664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.316128676,1 +50665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.744703959,1 +50666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.425198187,1 +50668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.327039009,1 +50669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.123924374,1 +50670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.735454345,1 +50667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.999484088,1 +50671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.370600539,1 +50673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.514294624,1 +50674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.171404008,1 +50675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.075657651,1 +50672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.923114691,1 +50676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.801050927,1 +50678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.187942875,1 +50677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.423281313,1 +50680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.650113449,1 +50681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.720457136,1 +50679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.855910667,1 +50683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.572557456,1 +50682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.175789917,1 +50685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.816491476,1 +50684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.994706663,1 +50686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.23636991,1 +50687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.899562116,1 +50688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.09065374,1 +50689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.874958693,1 +50690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.133188686,1 +50691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.666273575,1 +50693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.303801997,1 +50694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.506676593,1 +50692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.492797444,1 +50695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.07358028,1 +50696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.059332559,1 +50697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.561623766,1 +50700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.261946798,1 +50698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.501888646,1 +50699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.965740345,1 +50703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.449045152,1 +50701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.408030978,1 +50702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.018034009,1 +50705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.005411491,1 +50706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.500160074,1 +50707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.076213263,1 +50704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.109741693,1 +50708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.169255396,1 +50709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.58811776,1 +50710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.977396316,1 +50711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.960633459,1 +50713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.097573897,1 +50714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.201748435,1 +50715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.955674796,1 +50712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.562503207,1 +50717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.807853281,1 +50716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.723048541,1 +50718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.028931867,1 +50719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.816860788,1 +50720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.094573091,1 +50721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.73655206,1 +50723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.95882098,1 +50722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.082584081,1 +50724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.968189423,1 +50725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.414001366,1 +50726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.505802659,1 +50727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.917704374,1 +50728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.21567218,1 +50729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.322905612,1 +50731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.721328303,1 +50730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.239912453,1 +50732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.210807306,1 +50733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.282673442,1 +50736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.566350869,1 +50735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.60786741,1 +50737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.98638714,1 +50738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.601780554,1 +50739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.710047747,1 +50734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.000027774,1 +50741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.44886806,1 +50742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.817336291,1 +50743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.694195972,1 +50740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.093402731,1 +50746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.634128129,1 +50747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.374894799,1 +50745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.144982579,1 +50744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.324069666,1 +50749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.386481673,1 +50748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.753276494,1 +50751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.97233878,1 +50750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.470536807,1 +50754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.086668688,1 +50755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.321109176,1 +50752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.088850706,1 +50756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.676782911,1 +50757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.064031287,1 +50753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.102875188,1 +50758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.81672446,1 +50760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.508618684,1 +50759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.387591482,1 +50762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.727632173,1 +50761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.859646475,1 +50764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.189542895,1 +50765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,8.043951645,1 +50763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.116039781,1 +50766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.506592728,1 +50767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.029238037,1 +50769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.764588435,1 +50770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.578631315,1 +50768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.36061408,1 +50771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.925875719,1 +50772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.133548711,1 +50775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.800907205,1 +50774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.378169945,1 +50776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.619549261,1 +50778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.311454927,1 +50779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.264470071,1 +50773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.215365403,1 +50777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.739580233,1 +50780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,1.578266369,1 +50782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.535347591,1 +50781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.943653601,1 +50783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.469629402,1 +50787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.487839223,1 +50786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.43644326,1 +50785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.086147329,1 +50784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.155434546,1 +50788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.662932696,1 +50789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.572246173,1 +50791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.787330372,1 +50790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.78861011,1 +50793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.850791276,1 +50794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,8.078774804,1 +50792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.848033304,1 +50796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.877873809,1 +50795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.639887955,1 +50797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.806988228,1 +50798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.660159758,1 +50799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.525945932,1 +50800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.604822192,1 +50801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,8.253581451,1 +50802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.206030223,1 +50803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.862457564,1 +50804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.371511884,1 +50806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.520180205,1 +50807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.956056375,1 +50805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.094692844,1 +50809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.004463051,1 +50808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.250296904,1 +50811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.874763179,1 +50810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.96062665,1 +50812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.490450186,1 +50813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.860718433,1 +50814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.580486995,1 +50815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.928100372,1 +50816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.336652487,1 +50817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.894320267,1 +50818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.997031053,1 +50819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.087372284,1 +50820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.497540136,1 +50823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.984326381,1 +50822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.861710779,1 +50824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.087665197,1 +50821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.331069328,1 +50825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.590291232,1 +50828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.254724296,1 +50829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.878110577,1 +50827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.475240039,1 +50830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.109609157,1 +50826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.2677601,1 +50831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.397430084,1 +50832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.144220401,1 +50833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.263447989,1 +50835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.342510752,1 +50836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.004356351,1 +50837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.423696418,1 +50834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.88302175,1 +50839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.259316,1 +50841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.417540546,1 +50838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.437044694,1 +50840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.217641239,1 +50844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.478653419,1 +50843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.07233307,1 +50845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.92108976,1 +50842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.829531941,1 +50846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.946759101,1 +50848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.238821872,1 +50849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.58108169,1 +50850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.378566052,1 +50851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.509149461,1 +50852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.957985938,1 +50847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.966235559,1 +50855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.289647352,1 +50853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.889324209,1 +50856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.259541201,1 +50854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.963807153,1 +50858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.860188285,1 +50860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.896622365,1 +50859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.219234308,1 +50857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.685349653,1 +50861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.645299504,1 +50862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.064662831,1 +50863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.064419095,1 +50865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.17639432,1 +50866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.72042075,1 +50864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.731624299,1 +50868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.421485768,1 +50869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.074883813,1 +50870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.94283028,1 +50867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.087993263,1 +50872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.342931813,1 +50873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.289524054,1 +50871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.738220224,1 +50874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.884451615,1 +50875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.119536155,1 +50877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.585463883,1 +50878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.448332856,1 +50879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.62613309,1 +50880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.972072369,1 +50876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.287120793,1 +50881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.068216453,1 +50882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.448387497,1 +50883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.270943166,1 +50884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.243653753,1 +50885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.783705016,1 +50887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.411278199,1 +50886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.812899754,1 +50888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,1.842015792,1 +50889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.039343375,1 +50890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.023726333,1 +50891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.569555122,1 +50892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.852530104,1 +50894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.103585508,1 +50895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.937607918,1 +50893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.433307409,1 +50896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.173743155,1 +50898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.353273764,1 +50897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.243168585,1 +50899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.567359484,1 +50902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.672504776,1 +50901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.03461395,1 +50900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.20424727,1 +50903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.551912787,1 +50905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.548704756,1 +50906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.18580267,1 +50907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.434253684,1 +50908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.938437457,1 +50909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.865600577,1 +50911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.11201037,1 +50904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.909137759,1 +50910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.445368173,1 +50912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.059485473,1 +50913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.88433552,1 +50914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.287176794,1 +50916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.388530981,1 +50915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.417453315,1 +50917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.618698765,1 +50918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.311125976,1 +50919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.194161884,1 +50921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.553442492,1 +50922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.197998534,1 +50920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,8.013088437,1 +50923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.666805018,1 +50924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.220289912,1 +50926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.022510355,1 +50927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.901026506,1 +50928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.134466568,1 +50929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.818522406,1 +50925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.061376581,1 +50930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.688929281,1 +50933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.634291677,1 +50931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.949342656,1 +50934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.837728617,1 +50935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.868639927,1 +50932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.437110457,1 +50936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.76735304,1 +50937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,8.32396432,1 +50938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.85185074,1 +50940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.629584503,1 +50941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.370561408,1 +50939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.32443527,1 +50943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.104582416,1 +50944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.628397496,1 +50945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.583485115,1 +50942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.940612236,1 +50946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.465817978,1 +50948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.18035616,1 +50949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.830372522,1 +50947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.12423347,1 +50950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.244055623,1 +50951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.30981236,1 +50952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.095124811,1 +50953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.16350364,1 +50954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.564615758,1 +50955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.906356551,1 +50957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.455701097,1 +50958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.62024921,1 +50959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.485314156,1 +50960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.757581467,1 +50961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.287960624,1 +50956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.444512766,1 +50964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.470204317,1 +50963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.775960024,1 +50962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.329750328,1 +50965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.172201651,1 +50966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.668326888,1 +50967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.830951374,1 +50968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.416809983,1 +50969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.653210292,1 +50970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.211138566,1 +50971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.997013333,1 +50972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.355934442,1 +50973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.622484543,1 +50975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.13492858,1 +50974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.90268525,1 +50976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.53237061,1 +50978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.673523214,1 +50977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.235687569,1 +50979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.490973366,1 +50981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.718827555,1 +50980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.56614294,1 +50982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.839838188,1 +50983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.755443051,1 +50984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.569737316,1 +50985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.881380209,1 +50986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,2.756030089,1 +50987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.895373904,1 +50988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.965533682,1 +50989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.648386703,1 +50990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.308074976,1 +50991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.483403642,1 +50992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.171473038,1 +50994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.26300075,1 +50995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.258619012,1 +50997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,5.538555585,1 +50993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,7.892829345,1 +50998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.574141876,1 +50999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,6.942642874,1 +50996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,4.448753856,1 +51000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,1,1,3.298880259,1 +60002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.940800773,1 +60001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.283066017,1 +60003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.613560041,1 +60005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.664823223,1 +60004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.91653956,1 +60007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.580102175,1 +60006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.450316373,1 +60008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.454498883,1 +60009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.634471893,1 +60010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.870480996,1 +60011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.678467605,1 +60013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.741863602,1 +60012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.196659239,1 +60016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.75791503,1 +60017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.921654901,1 +60014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.4706533,1 +60015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.701140416,1 +60021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.008842961,1 +60020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.390561733,1 +60018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.045345724,1 +60019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.410469459,1 +60023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.903658711,1 +60022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.310238904,1 +60025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.947367667,1 +60024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.754509071,1 +60026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.556596486,1 +60028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.239443327,1 +60029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.388797553,1 +60027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.123073182,1 +60031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.452002884,1 +60032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.475542665,1 +60033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.1677407,1 +60030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.095663529,1 +60034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.533302455,1 +60036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.808646195,1 +60035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.677828131,1 +60037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.733489862,1 +60038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.842889691,1 +60041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.806098287,1 +60040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.957951193,1 +60042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.971079668,1 +60039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.013814002,1 +60043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.097450599,1 +60044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.017872662,1 +60045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.829592185,1 +60046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.881545879,1 +60047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.064843849,1 +60048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.582618306,1 +60050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.296669316,1 +60049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.785852718,1 +60051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.661568444,1 +60052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.783572918,1 +60054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.451215435,1 +60055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.168184095,1 +60056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.827528991,1 +60057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.791619867,1 +60058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.843234072,1 +60053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.063288148,1 +60059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.608708142,1 +60060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.560465129,1 +60063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.582976738,1 +60061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.416834932,1 +60062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.311509247,1 +60066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.149270883,1 +60064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.689717738,1 +60067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.231074473,1 +60065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.68437765,1 +60069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.109472498,1 +60068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.018181795,1 +60070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.437883487,1 +60071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.342024522,1 +60072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.963299932,1 +60073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.386242707,1 +60075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.914953115,1 +60076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.72378188,1 +60077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.861850839,1 +60078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.116409425,1 +60074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.558201867,1 +60079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.024459549,1 +60080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.489043284,1 +60081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.735991927,1 +60082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.560268236,1 +60083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.675186918,1 +60084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.10298772,1 +60085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.39598458,1 +60086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.723688631,1 +60087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.745413662,1 +60088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.077329645,1 +60089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.191106681,1 +60091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.666410951,1 +60090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.298843912,1 +60092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.145806028,1 +60093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.367510647,1 +60094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.130546015,1 +60096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.394610877,1 +60095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.574718291,1 +60097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.808750563,1 +60098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.245905714,1 +60099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.235345377,1 +60100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.290902929,1 +60101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.242140841,1 +60102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.142681032,1 +60103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.119403007,1 +60104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.048749005,1 +60105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.218226587,1 +60106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.449598486,1 +60107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.670388537,1 +60108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.408039748,1 +60109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.175251547,1 +60111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.121678684,1 +60110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.717702242,1 +60113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.147795726,1 +60114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.536332326,1 +60115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.942450422,1 +60112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.765523399,1 +60117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.119076325,1 +60116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.267743883,1 +60119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.990957753,1 +60118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.785317607,1 +60120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.733036646,1 +60121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.169272609,1 +60122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.828389439,1 +60123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.678233824,1 +60124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.306016415,1 +60125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.638228446,1 +60127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.391141355,1 +60126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.571712689,1 +60129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.009390648,1 +60128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.927259918,1 +60130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.606514901,1 +60131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.262403042,1 +60133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.727469762,1 +60134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.788232711,1 +60135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.204061329,1 +60136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.803819793,1 +60137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.487831264,1 +60138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.709426604,1 +60139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.183227768,1 +60140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.17717216,1 +60132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.360643654,1 +60141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.533928336,1 +60142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.919524424,1 +60144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.724428867,1 +60143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.167309991,1 +60145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.72883081,1 +60146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.236022602,1 +60147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.268103309,1 +60148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.012901559,1 +60150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.145583173,1 +60151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.434342447,1 +60152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.029850046,1 +60149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.738956365,1 +60153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.269441181,1 +60155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.930437241,1 +60156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.312898157,1 +60157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.802810244,1 +60154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.539502903,1 +60159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.049625184,1 +60160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.772259709,1 +60161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.260059689,1 +60158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.761771379,1 +60163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.458580524,1 +60164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.966025693,1 +60165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.390364535,1 +60167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.056800382,1 +60166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.910822212,1 +60168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.540565411,1 +60162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.198145899,1 +60170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.103620909,1 +60171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.949408123,1 +60172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.135756264,1 +60169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.532266627,1 +60174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.64351986,1 +60173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.076801549,1 +60175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.965987086,1 +60176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.068969008,1 +60177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.991660398,1 +60178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.643131317,1 +60180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.37262012,1 +60179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.959859588,1 +60181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.389079239,1 +60183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.409594796,1 +60182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.682767682,1 +60185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.055584021,1 +60186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.536450474,1 +60187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.23021806,1 +60188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.167908478,1 +60184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.590489583,1 +60190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.230179042,1 +60189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.394423397,1 +60191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.362196453,1 +60192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,8.680853825,1 +60193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.33975547,1 +60194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.580295075,1 +60195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.129646699,1 +60196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.680912618,1 +60197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.113873961,1 +60199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.139134178,1 +60198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.735887831,1 +60201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.770128809,1 +60202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,8.721606911,1 +60203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.813485452,1 +60200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.922899625,1 +60204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.762784974,1 +60205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.45269401,1 +60206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.79371926,1 +60207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.152253306,1 +60209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.968112656,1 +60208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.52944639,1 +60210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.617315476,1 +60211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.60117714,1 +60213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.295783645,1 +60212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.489365613,1 +60214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.661892796,1 +60217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.201085318,1 +60215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.416536723,1 +60216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.747443669,1 +60218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.935407239,1 +60221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.823425223,1 +60219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.07343795,1 +60220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.051932206,1 +60222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.204687854,1 +60223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.740742501,1 +60224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.587138043,1 +60225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.676836359,1 +60226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.505213911,1 +60227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.1873893,1 +60228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.810833969,1 +60229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.117586425,1 +60230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.053652522,1 +60231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.014466692,1 +60232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.84683237,1 +60234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.75537602,1 +60233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.392826459,1 +60235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.590709779,1 +60236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.618320877,1 +60238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.261472406,1 +60237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.240524505,1 +60240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.875721025,1 +60242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.677416379,1 +60239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.078804825,1 +60243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.962420485,1 +60244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.896642656,1 +60241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.488362257,1 +60247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.597093265,1 +60246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.784093874,1 +60245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.389482622,1 +60248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.590016622,1 +60251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,8.422300618,1 +60250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.038101005,1 +60252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.419192646,1 +60249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.086052814,1 +60253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.044081334,1 +60254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.442151884,1 +60256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.560694566,1 +60258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.868430236,1 +60259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.9516694,1 +60255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.328985944,1 +60260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.944553948,1 +60261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.082154803,1 +60257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.234141022,1 +60262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.819386818,1 +60263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.151518734,1 +60264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.60215857,1 +60266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.56843576,1 +60265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.592869391,1 +60267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.132161293,1 +60269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.760622129,1 +60270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.294124432,1 +60268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.149208253,1 +60273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.647125288,1 +60271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.247447099,1 +60274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.719875473,1 +60275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.049233937,1 +60277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.200197652,1 +60272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.915858817,1 +60278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.332100717,1 +60279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.201195627,1 +60276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.897505387,1 +60280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.277263583,1 +60283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.179107369,1 +60284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.672768387,1 +60282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.438233065,1 +60281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.828992981,1 +60285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.90661261,1 +60286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.980422986,1 +60287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.95854007,1 +60288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.395691508,1 +60289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.541409858,1 +60292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.678845696,1 +60291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.068298236,1 +60293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.651862919,1 +60290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.416858912,1 +60295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.180330007,1 +60294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.026286876,1 +60298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.621448857,1 +60297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.035407318,1 +60296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.541655858,1 +60299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.641863216,1 +60300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.085209344,1 +60301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.593565677,1 +60302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.53098671,1 +60303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.432070445,1 +60304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.485981477,1 +60306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.166907213,1 +60305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.321257583,1 +60307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.41506074,1 +60308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.062638395,1 +60309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.607517135,1 +60311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.132874601,1 +60312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.364966926,1 +60310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.102125691,1 +60313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.424997351,1 +60314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.654081097,1 +60315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.356847712,1 +60316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.523576621,1 +60317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.701469606,1 +60319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.02123227,1 +60318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.281857759,1 +60321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.07892052,1 +60322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.982299184,1 +60320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.785470052,1 +60323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.16696894,1 +60324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.555381889,1 +60327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.363417494,1 +60325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.633597565,1 +60326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.116530499,1 +60329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.43390815,1 +60330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.240887955,1 +60328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.097327619,1 +60331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.095036681,1 +60332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.051362764,1 +60334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.79946714,1 +60333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.69069444,1 +60335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.668647744,1 +60336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.213754831,1 +60338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.266181486,1 +60337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.817919345,1 +60341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.1312739,1 +60340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.721151035,1 +60339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.908537339,1 +60342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.550936139,1 +60344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.498141657,1 +60343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.227772097,1 +60346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.313679348,1 +60347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.98333175,1 +60348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.579705875,1 +60349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,9.228513295,1 +60345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.323563675,1 +60350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.65048045,1 +60351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.247682047,1 +60352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.642349979,1 +60353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,1.879442659,1 +60354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.202224371,1 +60355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.044409683,1 +60356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.875246549,1 +60357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.294120645,1 +60359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.934470632,1 +60358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.378439648,1 +60360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.146952994,1 +60361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.426689718,1 +60362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.442338936,1 +60363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.755832548,1 +60364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.291842628,1 +60366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.783438769,1 +60367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.615557479,1 +60368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.453525847,1 +60369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.135174303,1 +60365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.633263462,1 +60370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.004156024,1 +60371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.623425528,1 +60372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.819659769,1 +60374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.914458657,1 +60375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.520820417,1 +60373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.849597751,1 +60376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.165511743,1 +60378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.998146458,1 +60377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.098457736,1 +60380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.920894888,1 +60379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.403100951,1 +60381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.203370408,1 +60382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.691013384,1 +60383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.146463374,1 +60386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.950410117,1 +60385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.343627143,1 +60387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.010765436,1 +60388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.149503775,1 +60389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.350219555,1 +60384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.462955882,1 +60390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.928808807,1 +60393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.624222388,1 +60391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.660995452,1 +60392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.850028421,1 +60394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.502992499,1 +60395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.973821412,1 +60396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.910360089,1 +60397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.81596162,1 +60398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.141300014,1 +60400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.405311856,1 +60401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.831259418,1 +60402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.204575198,1 +60399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.534888318,1 +60403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.779571112,1 +60404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.516366356,1 +60406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.491116577,1 +60405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.251356144,1 +60407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.558877471,1 +60408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.351691348,1 +60410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.508800044,1 +60411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.424272034,1 +60412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.257043398,1 +60413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.096822432,1 +60414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.492245516,1 +60415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.004712843,1 +60416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.953196158,1 +60417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,8.172113395,1 +60418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.183043658,1 +60419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.345539809,1 +60422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.842254765,1 +60420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.787447263,1 +60409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.607764367,1 +60421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.983876793,1 +60425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.158318679,1 +60423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.428929446,1 +60424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.372011237,1 +60426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.460345158,1 +60427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.343633608,1 +60429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.848931371,1 +60428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.533003156,1 +60430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.097938732,1 +60433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.050003504,1 +60432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.854651157,1 +60434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.809783995,1 +60436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.397008055,1 +60431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.876426793,1 +60435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.584343649,1 +60437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.720894295,1 +60438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.332737711,1 +60439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.561306041,1 +60441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.064287787,1 +60440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.814893045,1 +60442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.983011808,1 +60443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.95785465,1 +60445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.719127138,1 +60444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.641273295,1 +60446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.084827003,1 +60448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.412509334,1 +60447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.748630691,1 +60449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.157205162,1 +60450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.345356347,1 +60451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.876986292,1 +60453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,8.554150354,1 +60454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,1.664819672,1 +60452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.563207284,1 +60455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.581733772,1 +60457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.8807147,1 +60459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.014608423,1 +60458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.433223654,1 +60460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.43064744,1 +60456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.503404086,1 +60461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.687706983,1 +60463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.580848803,1 +60462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.867210172,1 +60464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.13599747,1 +60467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.95232244,1 +60465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.705505223,1 +60466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.232930039,1 +60468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.518057353,1 +60470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.310210368,1 +60472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.467942079,1 +60471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.606285259,1 +60473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.094043757,1 +60475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.39335889,1 +60476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.31871827,1 +60474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.694406504,1 +60477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.059964385,1 +60478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.226060026,1 +60479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.504764484,1 +60469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.788001236,1 +60482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.282988464,1 +60480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.202886411,1 +60483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.378548194,1 +60484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.884077574,1 +60481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.308927838,1 +60485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.779787235,1 +60487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.658059867,1 +60486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.970613277,1 +60489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.818453982,1 +60490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.501620878,1 +60488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.71776198,1 +60492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.757418474,1 +60491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.030521701,1 +60493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.970413983,1 +60495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.840441399,1 +60494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.962069587,1 +60496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.904918178,1 +60499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.020375947,1 +60497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.037693317,1 +60501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.60059109,1 +60500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.024756215,1 +60498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.581522097,1 +60502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.268054513,1 +60503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.199841287,1 +60504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.951498391,1 +60505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.736334018,1 +60506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.517780622,1 +60508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.771261876,1 +60509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.014357311,1 +60510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.60299096,1 +60507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.365786264,1 +60512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.8783644,1 +60514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.142481458,1 +60513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.538274373,1 +60515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.258710349,1 +60516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.797472186,1 +60517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.204578436,1 +60511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.428022552,1 +60518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.712310458,1 +60519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.498656385,1 +60520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.689840916,1 +60521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.14484922,1 +60522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.702243963,1 +60524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.869238282,1 +60526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.451715467,1 +60525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.623252823,1 +60527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.665612808,1 +60523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.638612602,1 +60529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.85519259,1 +60531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.897880435,1 +60528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.14795927,1 +60530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.655165457,1 +60533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.358614954,1 +60534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.430471845,1 +60535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.760509999,1 +60532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,1.446825969,1 +60536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.6020714,1 +60537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.857897919,1 +60538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.234432554,1 +60541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.720169757,1 +60542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.491405339,1 +60539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.071800414,1 +60540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.570686753,1 +60545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.452694547,1 +60543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.968310053,1 +60544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.176688873,1 +60546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.562324751,1 +60547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.001131325,1 +60549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.732190277,1 +60550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.883305275,1 +60548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.765029143,1 +60552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.38087354,1 +60553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.638483503,1 +60554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.466357769,1 +60555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.062385549,1 +60556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.759772767,1 +60557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.487810295,1 +60558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.854963286,1 +60551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.460151039,1 +60560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.956350999,1 +60559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.21146955,1 +60563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.800672132,1 +60561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.243730465,1 +60562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.719718016,1 +60564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.21106841,1 +60566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.675688107,1 +60565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.818499673,1 +60567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.43695711,1 +60568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.183936692,1 +60569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.397381754,1 +60570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.858700259,1 +60571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.801610173,1 +60572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.956449463,1 +60573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.701264452,1 +60574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.346999964,1 +60578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.136841402,1 +60576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.227906305,1 +60577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.11513543,1 +60575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.181317809,1 +60579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.341469827,1 +60581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.271705411,1 +60580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.170246942,1 +60582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.749428564,1 +60583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.37712819,1 +60585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.497844585,1 +60584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.093806751,1 +60586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.286197615,1 +60587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.768492422,1 +60588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.472112214,1 +60589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.421701726,1 +60590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.838497336,1 +60592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.037643299,1 +60591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.539609432,1 +60593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.263126736,1 +60595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.287930993,1 +60594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.691694751,1 +60597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.801111424,1 +60599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.713685158,1 +60598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.669904867,1 +60596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.000306669,1 +60600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.035077685,1 +60601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.831327504,1 +60602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.627730332,1 +60603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.23597637,1 +60605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.102394016,1 +60604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.983341502,1 +60607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.486955755,1 +60606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.490966663,1 +60608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,8.096734977,1 +60610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.404299497,1 +60611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.89683938,1 +60609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.754914487,1 +60612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.348527893,1 +60614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.792924089,1 +60615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.039090654,1 +60616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.491549799,1 +60617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.839300095,1 +60618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.266780451,1 +60619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.205566086,1 +60613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.168043888,1 +60620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.559793821,1 +60621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.802077154,1 +60623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.422044042,1 +60622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.770090432,1 +60625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.813167098,1 +60624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.395638688,1 +60626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.183690512,1 +60627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.460381285,1 +60629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.68578004,1 +60630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.101515055,1 +60631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.033880694,1 +60632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.011672038,1 +60628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.119468685,1 +60634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.124850252,1 +60635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.023625829,1 +60636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.50609389,1 +60633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.810390546,1 +60637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.819691508,1 +60640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.036625685,1 +60639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.935670684,1 +60638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.252204193,1 +60641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.334884677,1 +60642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.58464177,1 +60644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.679998537,1 +60643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.790370402,1 +60645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.240413406,1 +60646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.724545036,1 +60647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.408623319,1 +60649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,8.221206898,1 +60651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.624418396,1 +60650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.636268297,1 +60648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.517291722,1 +60652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.597351521,1 +60654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.47897906,1 +60653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.773122959,1 +60655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.077535958,1 +60657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.722958223,1 +60656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.526734991,1 +60658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.108166475,1 +60659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.242383524,1 +60661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.554528907,1 +60660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.324164145,1 +60662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.787833895,1 +60664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.502378315,1 +60665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.111551106,1 +60663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.595997514,1 +60666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.564134539,1 +60668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.024229711,1 +60670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.880216563,1 +60667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.733310368,1 +60669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.650057218,1 +60671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.044867734,1 +60672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.02872742,1 +60673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.008574708,1 +60675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.809771117,1 +60674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.882376188,1 +60676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.344439505,1 +60677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.074457857,1 +60678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.83276191,1 +60679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.97960839,1 +60680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.288498356,1 +60681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.606751424,1 +60682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.857268445,1 +60685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.606349761,1 +60683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.846966811,1 +60684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.781097459,1 +60687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.915561234,1 +60686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.256012436,1 +60688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.155397868,1 +60689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.151561039,1 +60690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.775139156,1 +60691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.632541262,1 +60692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.152933408,1 +60694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,8.051790658,1 +60695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.569548303,1 +60696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.244440465,1 +60693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.462402987,1 +60698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,9.0688316,1 +60697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,1.81602788,1 +60700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.409985366,1 +60701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.903034165,1 +60699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.257253491,1 +60702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.590179781,1 +60703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.540417766,1 +60704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.045227328,1 +60705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.362764462,1 +60706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.074527276,1 +60708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.222806326,1 +60709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.632922139,1 +60710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.331601432,1 +60711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.785871075,1 +60707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.461827884,1 +60712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.751110779,1 +60713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.003877547,1 +60714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.669235596,1 +60717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.793913841,1 +60715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.419345484,1 +60718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.572789923,1 +60716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.982061322,1 +60719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.36848153,1 +60720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.890679826,1 +60721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.971221548,1 +60722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.394867843,1 +60723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.445427029,1 +60724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.700397479,1 +60725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.827755172,1 +60728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.358249156,1 +60726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.608304573,1 +60729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.16249145,1 +60727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.201317745,1 +60730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.8151408,1 +60731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.129435156,1 +60732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.108701647,1 +60733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.746348463,1 +60735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.123103235,1 +60736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.260743724,1 +60737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.503565674,1 +60738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.426540049,1 +60740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.425630751,1 +60739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.485461582,1 +60741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.081036606,1 +60734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.073293758,1 +60743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.632419765,1 +60745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.549697166,1 +60742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.748962976,1 +60744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.817506227,1 +60746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.670023565,1 +60747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.454662732,1 +60748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.22507482,1 +60749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.162821005,1 +60750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.99759594,1 +60752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.591291051,1 +60751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.108714603,1 +60753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.663180152,1 +60754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.053667177,1 +60757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.142051222,1 +60755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.520692147,1 +60758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.949310218,1 +60759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.284369856,1 +60756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.244387181,1 +60760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.145702232,1 +60761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.620895404,1 +60762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.334945803,1 +60763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.18509525,1 +60764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.169371479,1 +60765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,8.276031733,1 +60766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.677343352,1 +60768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.936070622,1 +60767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.959033712,1 +60770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.284383959,1 +60769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.122867346,1 +60771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,8.265108318,1 +60773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.609332983,1 +60774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.7800674,1 +60772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.924177742,1 +60775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.324756794,1 +60777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.806272732,1 +60776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.966924041,1 +60778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.731965608,1 +60780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.347380182,1 +60779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.74989143,1 +60781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.214334808,1 +60782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.33129249,1 +60783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.702500907,1 +60784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.573141861,1 +60785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.398269871,1 +60786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.544306866,1 +60787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.411845644,1 +60788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.802033013,1 +60789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.882109833,1 +60790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.749460912,1 +60791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.284853694,1 +60793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.710666656,1 +60792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.003530773,1 +60795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.536867451,1 +60797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.121117654,1 +60798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.368965564,1 +60794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.808383969,1 +60796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.837422521,1 +60799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.609664441,1 +60800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.424689564,1 +60801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.517852267,1 +60803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.901531311,1 +60802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.563644683,1 +60805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.721712087,1 +60804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.303014319,1 +60806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.837598933,1 +60807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.9214671,1 +60809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.562579078,1 +60810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.931706034,1 +60811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.82747961,1 +60812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.900688978,1 +60813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.817606101,1 +60808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.052506319,1 +60815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.006315824,1 +60816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.944738988,1 +60817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.803515213,1 +60818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.617010865,1 +60814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.244719505,1 +60819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.123707265,1 +60820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.336699295,1 +60822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.311856353,1 +60821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.931858464,1 +60824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.207626057,1 +60823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.897686755,1 +60825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.896012839,1 +60826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.771855549,1 +60828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.175483542,1 +60829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.114081481,1 +60830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.015079751,1 +60831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.132085271,1 +60827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.765859114,1 +60833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.1936882,1 +60834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.876555726,1 +60835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.55510176,1 +60832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.078545257,1 +60836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.012425025,1 +60837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.138738192,1 +60838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.956171477,1 +60839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.323881252,1 +60840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.745770711,1 +60841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.740073928,1 +60842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.933317536,1 +60843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.115768154,1 +60844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.800051413,1 +60845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.358188576,1 +60847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.133162565,1 +60848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.238229467,1 +60849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.810700333,1 +60850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.789073817,1 +60851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,8.475948816,1 +60846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.601370997,1 +60852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.539494446,1 +60855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.043411213,1 +60854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.469403648,1 +60853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.643827612,1 +60856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.767941194,1 +60857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.945238423,1 +60858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.652827189,1 +60859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.446051464,1 +60862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.332747251,1 +60863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.242987919,1 +60861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.247708272,1 +60860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.218967361,1 +60865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.161908922,1 +60864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.0439448,1 +60867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.21013744,1 +60866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.414927163,1 +60868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.99898921,1 +60869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.746443047,1 +60870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.472832034,1 +60873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.107908901,1 +60872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.48977689,1 +60871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.405584934,1 +60875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.967412859,1 +60876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.861651993,1 +60877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.842151982,1 +60874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.654067345,1 +60878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.626890037,1 +60879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.143077068,1 +60880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.671471529,1 +60881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.943858858,1 +60882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.729620814,1 +60885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.966506891,1 +60883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.336194124,1 +60886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.379129792,1 +60887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,1.406977668,1 +60884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.817693684,1 +60888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.220643053,1 +60889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.26642285,1 +60892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.460656074,1 +60891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.432251515,1 +60893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.209390828,1 +60894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.655050536,1 +60895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.498986433,1 +60896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.752776815,1 +60890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.670718173,1 +60898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.016173512,1 +60897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.006677448,1 +60900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.194421266,1 +60899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.941975885,1 +60902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.616304274,1 +60903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.820387315,1 +60904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.112836189,1 +60901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.480355093,1 +60905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.767663522,1 +60906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.104171957,1 +60907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.008025634,1 +60909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.315363642,1 +60911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.920102276,1 +60908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.53941192,1 +60912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.785962816,1 +60910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.042628527,1 +60913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.825005569,1 +60914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.306895891,1 +60916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.103585646,1 +60915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.957793515,1 +60918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.943111664,1 +60917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.176310008,1 +60919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.38518021,1 +60920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.426107736,1 +60922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.850016191,1 +60923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.49744671,1 +60924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.711916198,1 +60921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.998154114,1 +60925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.61535133,1 +60926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.275863478,1 +60928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.773494813,1 +60929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.019360778,1 +60927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.281988135,1 +60930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.344102062,1 +60932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.211646368,1 +60931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.506190148,1 +60933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.09553903,1 +60934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.214129592,1 +60935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.228289862,1 +60937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.114118166,1 +60936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.38886796,1 +60938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.178431385,1 +60939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.035158565,1 +60940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.555212686,1 +60942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.496941377,1 +60943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.979840179,1 +60944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.916056897,1 +60941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.978690346,1 +60945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.651442573,1 +60946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.347210224,1 +60947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.902146239,1 +60948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.739347678,1 +60949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.224082769,1 +60950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.288425444,1 +60951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.462593802,1 +60952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.321500614,1 +60954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.237950609,1 +60953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,8.839376338,1 +60955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.730088439,1 +60956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.258957636,1 +60957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.998407514,1 +60958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.960019405,1 +60959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.934823007,1 +60962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.163585237,1 +60960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.873240636,1 +60961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.461743902,1 +60963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.783712915,1 +60965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.431517923,1 +60966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.986066627,1 +60967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.924806292,1 +60969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.002550413,1 +60968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.81373123,1 +60970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.180886042,1 +60964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.581130001,1 +60971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.334589674,1 +60973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.542777726,1 +60972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.078841344,1 +60974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.34218832,1 +60975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.952424326,1 +60978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.634420947,1 +60977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.384255835,1 +60976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.908384776,1 +60979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.698331503,1 +60980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.66804655,1 +60982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.460772614,1 +60981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.060257186,1 +60983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.699692613,1 +60985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.860970978,1 +60986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.116101021,1 +60987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.894068973,1 +60988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,7.627657406,1 +60989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,3.610502129,1 +60984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.367086733,1 +60990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.376714733,1 +60991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.222513977,1 +60993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.878747123,1 +60992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.362719204,1 +60994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.830774009,1 +60995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.007671355,1 +60996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,2.472151939,1 +60997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.155445109,1 +60998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,4.630029597,1 +60999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,5.704708928,1 +61000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,1,1,6.27363171,1 +70001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.372779616,1 +70003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.217520202,1 +70004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.038133563,1 +70005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.533377179,1 +70006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.808475758,1 +70007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.447947698,1 +70008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.848188335,1 +70002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.954999687,1 +70009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.304992304,1 +70011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.293429714,1 +70010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.613654483,1 +70012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.556522577,1 +70013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.411749129,1 +70014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.224742264,1 +70015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.754498717,1 +70016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.959760451,1 +70017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.94112516,1 +70018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.251869842,1 +70019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.514340546,1 +70020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.070163643,1 +70021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.380417161,1 +70022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.497639951,1 +70023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.991445717,1 +70025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.505224399,1 +70024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.081223518,1 +70026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.840095917,1 +70028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.49813228,1 +70027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.071747118,1 +70029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.257596381,1 +70031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.15417927,1 +70030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.447107931,1 +70032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.519482744,1 +70033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.896508364,1 +70034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.238119142,1 +70035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.94985935,1 +70037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.078251955,1 +70039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.224928796,1 +70036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.685990587,1 +70038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.086255056,1 +70042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.160501942,1 +70040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.615279657,1 +70043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.166220109,1 +70041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.729928084,1 +70045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.503477665,1 +70046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,8.613070228,1 +70047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.676403326,1 +70048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.494848218,1 +70049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.765895638,1 +70044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.414819497,1 +70050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.658331686,1 +70052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.812744589,1 +70051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.675513836,1 +70054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.48050748,1 +70053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.867422511,1 +70057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.148274338,1 +70056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.430233845,1 +70058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.972808084,1 +70055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.331709538,1 +70061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.501575155,1 +70060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.591555761,1 +70062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.166196884,1 +70059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.576529968,1 +70063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.76900761,1 +70065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.379513316,1 +70064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.184504468,1 +70068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.062938131,1 +70066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.020051822,1 +70069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.065623937,1 +70071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.842301041,1 +70067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.124492598,1 +70070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.622578928,1 +70073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.190978922,1 +70072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.585898578,1 +70074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.030755189,1 +70075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.564970816,1 +70077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.118980972,1 +70078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.247114947,1 +70079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.332145479,1 +70076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.134657469,1 +70080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.303421727,1 +70081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.84477958,1 +70082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.270640638,1 +70084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.786804027,1 +70086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.797858998,1 +70083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.317758284,1 +70085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.862304301,1 +70089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.522563158,1 +70087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,1.964060827,1 +70088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.543750764,1 +70090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.172096134,1 +70091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.599134469,1 +70093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.63576767,1 +70094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.24884075,1 +70095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.981779752,1 +70092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.255855356,1 +70096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.898595689,1 +70097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.003778757,1 +70099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.918674927,1 +70100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.590811364,1 +70098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.96255607,1 +70102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.363716907,1 +70101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.443775052,1 +70103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.002029735,1 +70104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.505579189,1 +70107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.485060927,1 +70106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.768125602,1 +70108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.163484024,1 +70110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.996673684,1 +70109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.831368461,1 +70111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.895823719,1 +70105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.729844342,1 +70113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.384645411,1 +70112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.493294783,1 +70115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.264031318,1 +70116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.473233041,1 +70114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.538123684,1 +70117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.334264439,1 +70118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.75717667,1 +70120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.964424717,1 +70121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.538133539,1 +70119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.268713568,1 +70122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.084013961,1 +70123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.977025614,1 +70125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.736994551,1 +70124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.319244808,1 +70127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.112587972,1 +70128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.724445942,1 +70129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.640322943,1 +70126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.493045317,1 +70132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.57965588,1 +70131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.300605235,1 +70130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.048301972,1 +70133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.647023536,1 +70135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.117695725,1 +70134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.298240777,1 +70137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.475951733,1 +70136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.042631857,1 +70138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.69048727,1 +70139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.86436897,1 +70140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.485971972,1 +70141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.409524938,1 +70142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.64752882,1 +70143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.361970873,1 +70145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.454982071,1 +70146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.918693517,1 +70147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.254313396,1 +70148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.622318784,1 +70149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.807420027,1 +70150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.676971367,1 +70144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.648177528,1 +70151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.112867418,1 +70152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.945200469,1 +70153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.01351263,1 +70154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.113589193,1 +70155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,8.065865424,1 +70157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.561594553,1 +70156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.010138302,1 +70158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.460839004,1 +70159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.369817315,1 +70160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.612585983,1 +70161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.771952868,1 +70163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.66682739,1 +70165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.988687529,1 +70162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.083855467,1 +70164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.948274083,1 +70169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.303631867,1 +70168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.000918534,1 +70171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.816865943,1 +70170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.646090736,1 +70167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.964614693,1 +70166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.236528801,1 +70172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.336654473,1 +70173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.162480026,1 +70175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.120541777,1 +70176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.294062666,1 +70174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.590208482,1 +70177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.627301836,1 +70178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.395473206,1 +70180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.083728439,1 +70181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.569871947,1 +70182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.234725033,1 +70179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.747662168,1 +70183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.851889549,1 +70186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.938965281,1 +70185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.197922314,1 +70187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.686636766,1 +70188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.960066099,1 +70184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.117197444,1 +70189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.345379238,1 +70190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.771141009,1 +70191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.480957491,1 +70193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.482606898,1 +70192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.948385071,1 +70194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.040101901,1 +70196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.17549589,1 +70197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.721449614,1 +70195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.708917764,1 +70198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.11381787,1 +70201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.183264886,1 +70200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.667173211,1 +70202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.049317319,1 +70203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.327504097,1 +70199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.85218012,1 +70205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.849769305,1 +70206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.999086203,1 +70207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.184188918,1 +70204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.976603064,1 +70210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.081685319,1 +70211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.674797369,1 +70209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.628427291,1 +70212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.488434392,1 +70208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.455662267,1 +70214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.432441841,1 +70213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.135750111,1 +70215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.788516158,1 +70216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.603456741,1 +70217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.507270762,1 +70218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.489571362,1 +70220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.266866854,1 +70221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.67157723,1 +70219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.301098975,1 +70223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.429738697,1 +70224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.691603091,1 +70222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.335182445,1 +70225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.956137415,1 +70227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.608616257,1 +70228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.34651823,1 +70229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.884960841,1 +70231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.841125834,1 +70230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.278544075,1 +70232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.945166158,1 +70226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.69596124,1 +70233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.101472535,1 +70234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.44878082,1 +70237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.667411916,1 +70238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.889765088,1 +70236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.164387986,1 +70235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.875979417,1 +70241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.910657958,1 +70239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.798902598,1 +70242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.755744434,1 +70240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.233206834,1 +70244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.392746018,1 +70243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.235576228,1 +70246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.587172042,1 +70245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.845269354,1 +70247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.932010729,1 +70249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.351554028,1 +70250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.621833903,1 +70252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.979542978,1 +70251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.645862577,1 +70253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,8.25599174,1 +70248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.067602791,1 +70254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.406399263,1 +70255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.979611908,1 +70257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.348836663,1 +70256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.795484136,1 +70258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.099111233,1 +70259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.362594996,1 +70261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.019949888,1 +70262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.016181474,1 +70260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.516856551,1 +70263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.956446947,1 +70264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.087494323,1 +70266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.405825441,1 +70265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.749681792,1 +70267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.08505672,1 +70268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.951473215,1 +70269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.569736976,1 +70271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.428821742,1 +70272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.204219448,1 +70270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.5172084,1 +70273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.009218716,1 +70275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.732583931,1 +70277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.220871503,1 +70274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.983851706,1 +70276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.96434099,1 +70278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.253857736,1 +70279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.660615234,1 +70281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.256404223,1 +70282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.605824199,1 +70280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.113785968,1 +70283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.54192319,1 +70284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.072854654,1 +70285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.165211578,1 +70286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.823402151,1 +70287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.776739528,1 +70289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.038622437,1 +70290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.453003513,1 +70291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.314942283,1 +70292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.049615786,1 +70288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.992220299,1 +70294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.812752559,1 +70295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.180116212,1 +70293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.093535408,1 +70296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.29102099,1 +70297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.64361617,1 +70298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.371885923,1 +70300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.478111048,1 +70299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.584106949,1 +70301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.024990255,1 +70304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.692113629,1 +70303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.017086375,1 +70302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.931022429,1 +70305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.685513532,1 +70306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.635330527,1 +70308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.077631728,1 +70307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.504045121,1 +70309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.153093345,1 +70311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.747219973,1 +70313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.440931276,1 +70312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.836570498,1 +70314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.848265571,1 +70310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.764610048,1 +70315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.581476265,1 +70316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.153160458,1 +70317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.933526044,1 +70318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.710160936,1 +70320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,10.5793695,1 +70319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.093044431,1 +70321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.445297597,1 +70322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.529967197,1 +70324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.809626495,1 +70323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.275789944,1 +70325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.971783724,1 +70326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.586658219,1 +70327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.579882115,1 +70328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.271212167,1 +70329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.972275143,1 +70330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.061868295,1 +70331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.052634996,1 +70332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.130969315,1 +70335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.179030926,1 +70333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.537544148,1 +70334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.642531346,1 +70337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.777134481,1 +70336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.976396091,1 +70339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.819701125,1 +70338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.67050432,1 +70340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.878787937,1 +70343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.402328508,1 +70342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.252370498,1 +70341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.134207184,1 +70344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.448506482,1 +70345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.035404751,1 +70346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.101378953,1 +70349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.15341357,1 +70348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.458752597,1 +70347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.658208148,1 +70350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.338779885,1 +70352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.609126947,1 +70353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.825455196,1 +70354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.535572255,1 +70351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.39674877,1 +70355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.029749365,1 +70357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.005277894,1 +70359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.920474972,1 +70358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.627200559,1 +70356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.181424209,1 +70360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.034715737,1 +70362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.80093165,1 +70361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.655131617,1 +70365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.859168111,1 +70364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.764151204,1 +70363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.026141555,1 +70366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.290693685,1 +70368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.363039326,1 +70370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.492557458,1 +70369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.806014892,1 +70372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.219996145,1 +70367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.180705434,1 +70373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.052272282,1 +70375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.81319505,1 +70374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.399243536,1 +70376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.61814272,1 +70371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.833482478,1 +70377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.407425581,1 +70379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.037233955,1 +70380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.618167992,1 +70378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.800208586,1 +70381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.097945062,1 +70383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.713828866,1 +70382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.644955483,1 +70385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.665183571,1 +70384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.92670466,1 +70387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.858413056,1 +70386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.021040267,1 +70389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.510494302,1 +70390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.281453354,1 +70392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.501998735,1 +70388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.746314877,1 +70393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.442419909,1 +70391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.700924791,1 +70395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.092539599,1 +70394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.922978425,1 +70396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.743310176,1 +70397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.0084668,1 +70398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.338537958,1 +70399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.666250662,1 +70400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.527927457,1 +70402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.209274107,1 +70401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.277736626,1 +70403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.046488151,1 +70404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.414805222,1 +70406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.979379018,1 +70407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.709297265,1 +70408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.027684106,1 +70405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.027279998,1 +70411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.464873679,1 +70409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.31595954,1 +70410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.927493186,1 +70412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.52368128,1 +70413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.686674862,1 +70415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.026201403,1 +70414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.167829124,1 +70416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.11204402,1 +70417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.955373361,1 +70419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.01555762,1 +70418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.187315276,1 +70420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.677856907,1 +70421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.438873036,1 +70423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.820647482,1 +70422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.976206139,1 +70424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.066195107,1 +70425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.681192709,1 +70428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.919528076,1 +70426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.780455546,1 +70429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.180154535,1 +70427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.440942002,1 +70430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.308987004,1 +70431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.045253831,1 +70432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.960203257,1 +70434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.702319113,1 +70435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.775003385,1 +70436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.322453735,1 +70433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.744949456,1 +70437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.692287587,1 +70438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.427098195,1 +70439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.22463004,1 +70442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.841398964,1 +70440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.931639209,1 +70441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.604724827,1 +70443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.018760408,1 +70444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.490054829,1 +70445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.709131089,1 +70446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.87381664,1 +70447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.221452399,1 +70448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.89508628,1 +70450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.551491321,1 +70451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.559872327,1 +70452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.148695531,1 +70453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.610096036,1 +70454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.945333373,1 +70449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.169901257,1 +70455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.577234183,1 +70456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.370080646,1 +70458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.731739934,1 +70457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.309969715,1 +70459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.752063678,1 +70460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.130669002,1 +70462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.622386743,1 +70461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.533162782,1 +70463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.100375501,1 +70464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.786351441,1 +70465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.662408343,1 +70466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.899652315,1 +70467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.354280267,1 +70468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.524393267,1 +70469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.57498069,1 +70471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.897188283,1 +70472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.884852692,1 +70473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.941416275,1 +70470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.641918557,1 +70474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.994488974,1 +70475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.185298192,1 +70476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.843981493,1 +70478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.363726193,1 +70477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.265424486,1 +70479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.730143321,1 +70481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.842470685,1 +70482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.70495604,1 +70480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.811693283,1 +70483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.21956031,1 +70484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.307167926,1 +70486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.528095453,1 +70485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.558812816,1 +70487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.721330455,1 +70489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.94173527,1 +70490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.979353654,1 +70488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.165106885,1 +70491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.955329832,1 +70493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.7222311,1 +70494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.41182588,1 +70495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.621664936,1 +70496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.711240516,1 +70492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.017722848,1 +70497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.678248922,1 +70498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.865869012,1 +70499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.746929003,1 +70500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.671359917,1 +70502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.9851987,1 +70501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.483946482,1 +70504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.611730062,1 +70503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.77453522,1 +70505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.050618826,1 +70507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.825831005,1 +70506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.069268893,1 +70508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.178354565,1 +70509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.956408749,1 +70511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.598755672,1 +70512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.91701691,1 +70513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.936546353,1 +70514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.673860518,1 +70515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.393655238,1 +70516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.97793453,1 +70510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.741686046,1 +70517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.304122909,1 +70518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.108287805,1 +70519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.05645039,1 +70520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.798755336,1 +70521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.639336872,1 +70522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.164043019,1 +70523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.892175,1 +70524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.989683872,1 +70525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.532330536,1 +70526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.061470625,1 +70528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.473577467,1 +70527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.372312465,1 +70532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.046024993,1 +70530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.626923269,1 +70529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.562947168,1 +70531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.141566588,1 +70534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.862011183,1 +70533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.092801297,1 +70535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.946775357,1 +70536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.870213652,1 +70537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.38253238,1 +70538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.240481187,1 +70540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.344308526,1 +70541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.912506472,1 +70539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.538148037,1 +70542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.859671072,1 +70543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.087660662,1 +70544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.011549823,1 +70546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.595122216,1 +70545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.790361934,1 +70548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.573858019,1 +70549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.677085235,1 +70547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.774459891,1 +70550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.993538838,1 +70551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.025141485,1 +70552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.640010393,1 +70553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.076776141,1 +70554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.912132761,1 +70555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.970842322,1 +70556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.23588051,1 +70557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.463023737,1 +70560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.704900077,1 +70559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,8.307800823,1 +70561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.772578449,1 +70562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.372514538,1 +70563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.812411401,1 +70564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.436931784,1 +70558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.838637452,1 +70565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.816227712,1 +70567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.148655721,1 +70566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.724653152,1 +70568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.199249022,1 +70569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.014917862,1 +70570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.933282551,1 +70571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.234496437,1 +70572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.080400557,1 +70573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.824678819,1 +70574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.29693708,1 +70575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.10094211,1 +70576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.852694268,1 +70577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.942675354,1 +70578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.024740342,1 +70579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.663469712,1 +70581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.760147596,1 +70583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.259152515,1 +70582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.888203814,1 +70580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.3668564,1 +70584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.395475971,1 +70586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.74014623,1 +70585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.355703642,1 +70588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.761301336,1 +70587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.413783399,1 +70590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.573575571,1 +70589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.140686157,1 +70591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.725233591,1 +70592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.065363566,1 +70593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.530708464,1 +70594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.36392884,1 +70595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.727250128,1 +70598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.442481259,1 +70596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,9.32940871,1 +70597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.869427541,1 +70599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.6482568,1 +70601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.396920423,1 +70602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.091625793,1 +70603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.024180588,1 +70605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.118394776,1 +70604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.478847919,1 +70606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.223271379,1 +70600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.678676563,1 +70607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.51416173,1 +70608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.100937379,1 +70609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.300799919,1 +70611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.238512055,1 +70610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.1889349,1 +70613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.562332277,1 +70612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.881142411,1 +70615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.887265662,1 +70616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.865482181,1 +70614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.490345181,1 +70617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,1.713672904,1 +70618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.090253788,1 +70620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.74517302,1 +70619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.102832643,1 +70621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.740370206,1 +70623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.759230929,1 +70624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.247635109,1 +70625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.36725702,1 +70627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.331919469,1 +70626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.802158358,1 +70622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.485981329,1 +70629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.969825172,1 +70628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.345706603,1 +70631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.470144783,1 +70630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.15031588,1 +70632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.885943261,1 +70635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.410178785,1 +70634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.591460635,1 +70633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.277068736,1 +70636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.165831623,1 +70637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.605742326,1 +70638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.654565152,1 +70639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.350130226,1 +70640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.291337871,1 +70641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.928142753,1 +70643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.692228488,1 +70642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.726791111,1 +70644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.371827459,1 +70645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.822525286,1 +70648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.442823829,1 +70647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.433400657,1 +70649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.511808606,1 +70650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.448118088,1 +70651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.243175332,1 +70652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.632246743,1 +70646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.656349589,1 +70653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.163909641,1 +70654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.447941204,1 +70655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.43745066,1 +70656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.533428821,1 +70657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.176148168,1 +70658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.317930942,1 +70660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.19089322,1 +70659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.04967095,1 +70661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.681066388,1 +70662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.531783173,1 +70664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.784798673,1 +70663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.645761993,1 +70665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.266488864,1 +70666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.201389729,1 +70667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.392820817,1 +70669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.159107656,1 +70670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.768813398,1 +70671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.282788306,1 +70672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.063443128,1 +70673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.494260298,1 +70668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.931337088,1 +70674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.75797028,1 +70677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.026572411,1 +70675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.856415519,1 +70676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.141527219,1 +70678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.578516812,1 +70679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.989776615,1 +70680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.229712294,1 +70682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.439303486,1 +70681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.779276519,1 +70683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.82654586,1 +70684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.807937739,1 +70685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.326519733,1 +70686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.855017887,1 +70688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.807583851,1 +70690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.026977057,1 +70689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.32879028,1 +70687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.862443721,1 +70691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.17192328,1 +70693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.611289958,1 +70692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.496040784,1 +70694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.540998009,1 +70696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.475539572,1 +70695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.811234541,1 +70697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.68074034,1 +70698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.67800457,1 +70699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.82069559,1 +70701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.456755114,1 +70700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.042746515,1 +70703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.949350402,1 +70702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.499902408,1 +70704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.621073841,1 +70705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.359162377,1 +70706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.017313035,1 +70709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.186049201,1 +70708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.822424017,1 +70707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.428869679,1 +70710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.658937802,1 +70711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.991678885,1 +70712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,8.087725423,1 +70713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.565299517,1 +70714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.32597631,1 +70716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.735203158,1 +70715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.546470257,1 +70717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.834599333,1 +70718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.275815341,1 +70719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.811141157,1 +70721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.56674485,1 +70722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.554060754,1 +70720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.262070025,1 +70724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.210107097,1 +70723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.647165707,1 +70726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.578010825,1 +70725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.70807665,1 +70727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.272680057,1 +70729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.454360556,1 +70728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.2653358,1 +70730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.148058359,1 +70731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.881909197,1 +70734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.264486968,1 +70733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.378322919,1 +70735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.681107791,1 +70732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.603670296,1 +70737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.54895761,1 +70736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.241911702,1 +70739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.119819495,1 +70738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.12338515,1 +70740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.372339573,1 +70741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.75210853,1 +70743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.954149026,1 +70742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.677248919,1 +70744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.739085388,1 +70747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.716302294,1 +70746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.603675903,1 +70745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.115402927,1 +70750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.121935045,1 +70751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.814188153,1 +70748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.390324087,1 +70749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.68971568,1 +70752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.568134745,1 +70753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.0750664,1 +70754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.535761265,1 +70755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.669614491,1 +70756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.674585857,1 +70757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.852220349,1 +70759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.564788738,1 +70760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.651543754,1 +70761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.493034925,1 +70762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.831289782,1 +70763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.127267377,1 +70758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.703731613,1 +70764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.547238864,1 +70768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.571542458,1 +70765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.312698328,1 +70766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.774074509,1 +70767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.991216171,1 +70770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.571613584,1 +70771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.093794352,1 +70769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.862378812,1 +70772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.347132248,1 +70773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.416559396,1 +70774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.644561487,1 +70775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.814952094,1 +70777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.004569032,1 +70778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.776629689,1 +70779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.0255728,1 +70780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.598728558,1 +70781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.380960338,1 +70776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.422781355,1 +70782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.095866543,1 +70785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.483255323,1 +70784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.652975718,1 +70786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.896661809,1 +70783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.199932392,1 +70788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.601582178,1 +70787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.787488228,1 +70789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.396985015,1 +70790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.901376985,1 +70792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.910316067,1 +70793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.757131407,1 +70791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.908921116,1 +70794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.379663728,1 +70797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.820433831,1 +70796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.373138215,1 +70798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.179182355,1 +70799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.220986173,1 +70800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.326437538,1 +70801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.923575259,1 +70795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.256553454,1 +70803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.934282164,1 +70802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.659946838,1 +70804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.736056151,1 +70805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.309827537,1 +70806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.060371163,1 +70808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.767498986,1 +70807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.707423967,1 +70809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.666759758,1 +70810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.477705912,1 +70811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.92870787,1 +70812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.976966822,1 +70814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.585654403,1 +70816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.331836318,1 +70813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.498938008,1 +70815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.773419769,1 +70817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.960322574,1 +70820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.689975333,1 +70819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.054130606,1 +70818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.607701898,1 +70821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.442358821,1 +70822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.61040395,1 +70823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.881600831,1 +70825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.32855617,1 +70826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.750888692,1 +70824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.162770684,1 +70827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.831355638,1 +70828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.176395255,1 +70829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.132540421,1 +70831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.205879244,1 +70830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.743026574,1 +70833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.543153889,1 +70832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.238823785,1 +70834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.146853234,1 +70835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.164986718,1 +70836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.226866415,1 +70837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.029549106,1 +70838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.911167736,1 +70841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.236064976,1 +70840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.286442075,1 +70839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.209061234,1 +70842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.056750924,1 +70843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.083215027,1 +70844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.561510574,1 +70846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.084210908,1 +70845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.467279049,1 +70847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.644027065,1 +70848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.783689986,1 +70850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.28762335,1 +70849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.907253804,1 +70851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.285028732,1 +70852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.589007512,1 +70853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.786863787,1 +70854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.703805905,1 +70855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.301186898,1 +70856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.887800241,1 +70859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.496773899,1 +70860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.366541477,1 +70857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.063402558,1 +70858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.758801263,1 +70862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.80548406,1 +70861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.552673254,1 +70863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.694487907,1 +70865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.949029037,1 +70866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.0044799,1 +70867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.016704843,1 +70868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.515208335,1 +70869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.549542999,1 +70870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.287737003,1 +70864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.476124199,1 +70872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.851883881,1 +70871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.78895289,1 +70875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.501635403,1 +70874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.197506698,1 +70876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.76184822,1 +70873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,10.06176843,1 +70878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.270360863,1 +70877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.330890278,1 +70879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.232650432,1 +70880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.276483297,1 +70882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.13972255,1 +70881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.81389793,1 +70883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.91899661,1 +70884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.227696822,1 +70885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.191803375,1 +70887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.220437795,1 +70888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.125955332,1 +70889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.691553457,1 +70890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.635379885,1 +70886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.200606802,1 +70891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.109942543,1 +70892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.168797458,1 +70894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.353811466,1 +70895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.414604559,1 +70893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.225098309,1 +70896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.014643396,1 +70897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.92584639,1 +70898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.844588994,1 +70899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.548669328,1 +70901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.298154953,1 +70900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.6484778,1 +70903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.453865244,1 +70902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.199389203,1 +70905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.989518609,1 +70906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.78815463,1 +70907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.183509123,1 +70908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.134864094,1 +70909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.262165879,1 +70910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.034033488,1 +70904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.097731035,1 +70911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.735080906,1 +70912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.756280676,1 +70914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.084074346,1 +70915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.889353135,1 +70916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.648730239,1 +70913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.248808481,1 +70917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.621150863,1 +70918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.03771733,1 +70919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.491014519,1 +70920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.96561998,1 +70922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.974213818,1 +70921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.083367924,1 +70923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.474006564,1 +70924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.440779059,1 +70925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.225832497,1 +70926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.532622437,1 +70927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.651588447,1 +70928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.515945778,1 +70929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.389367417,1 +70930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.610511696,1 +70931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.269188643,1 +70933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.886604753,1 +70934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.760859876,1 +70935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.304530962,1 +70932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.437364382,1 +70938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.294273816,1 +70937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.629756871,1 +70936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.231223353,1 +70941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.663807796,1 +70939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.174255542,1 +70940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.869455404,1 +70942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.880437825,1 +70943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.914164111,1 +70944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.920919244,1 +70945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.193511737,1 +70946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.250261478,1 +70948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.798909144,1 +70947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.447916616,1 +70949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.293967391,1 +70950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.669545907,1 +70952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.285906002,1 +70953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.382672305,1 +70951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.585260632,1 +70955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.560090384,1 +70956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.685501597,1 +70954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.746976853,1 +70957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.474603204,1 +70959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.447594756,1 +70958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.320395202,1 +70960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.660469793,1 +70961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.716395965,1 +70963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.080370354,1 +70962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.208792295,1 +70964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.741183807,1 +70966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.996716477,1 +70965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.435471858,1 +70967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.91888329,1 +70968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.768231247,1 +70970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.799119822,1 +70971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.336781006,1 +70969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.033871992,1 +70974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.483036843,1 +70973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.425641738,1 +70975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.191109873,1 +70972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.861393511,1 +70977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.118652931,1 +70976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.229712908,1 +70978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.529317824,1 +70981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,8.12364127,1 +70980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.083818904,1 +70982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,2.323449887,1 +70979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.879679256,1 +70983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.078128725,1 +70984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.604644059,1 +70985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.993669697,1 +70986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.734332344,1 +70987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.687655531,1 +70988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.174401702,1 +70989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,4.995610345,1 +70991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.155845051,1 +70990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.325767193,1 +70992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.74044858,1 +70993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,7.040364841,1 +70994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.749351838,1 +70996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.23972071,1 +70997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,6.43494548,1 +70998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.567533757,1 +70999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,3.504928858,1 +70995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.152933591,1 +71000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,1,1,5.362423644,1 +80001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.9940413,1 +80002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.433668411,1 +80004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.154744391,1 +80003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.515612197,1 +80006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.354424345,1 +80005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.148795027,1 +80007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.257914289,1 +80009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.053400964,1 +80008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.555507802,1 +80010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.685327817,1 +80012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.872246066,1 +80014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.081561061,1 +80013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.949724149,1 +80011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.81084119,1 +80015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.317414283,1 +80016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.057154757,1 +80018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.858168687,1 +80019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.154025981,1 +80017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.555536735,1 +80020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.889891036,1 +80021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.389587649,1 +80023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.628222314,1 +80022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.511209223,1 +80024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.78321359,1 +80025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.337283941,1 +80027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.519070635,1 +80026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.104716769,1 +80028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.670561586,1 +80030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.364250709,1 +80031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.240669992,1 +80032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.286660306,1 +80029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.222981561,1 +80033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.665759866,1 +80035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.351637234,1 +80036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.950538925,1 +80034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.473145803,1 +80037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.811515957,1 +80038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.828937248,1 +80039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,1.754611642,1 +80042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.108638376,1 +80041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.786283543,1 +80040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.517813506,1 +80043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.062356357,1 +80045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.431731058,1 +80044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.95106983,1 +80046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.87683338,1 +80049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.011696129,1 +80048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.950692016,1 +80047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.270259122,1 +80050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.08086546,1 +80052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.706914453,1 +80051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.740443448,1 +80053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.926117545,1 +80055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.43362975,1 +80056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.275668965,1 +80057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.244968029,1 +80054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.68384466,1 +80059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.950356267,1 +80058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.177913959,1 +80060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.317177087,1 +80061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.75532683,1 +80062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.813361904,1 +80063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.012168432,1 +80064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.991142978,1 +80065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.16080173,1 +80067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.458394584,1 +80066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.564850038,1 +80069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.667747469,1 +80068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.771595396,1 +80071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.579543236,1 +80073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.887083533,1 +80074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.195893415,1 +80070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.122070402,1 +80075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.517425147,1 +80077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.096397689,1 +80076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.093593803,1 +80072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.334248644,1 +80078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.104780912,1 +80079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.831295295,1 +80080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.837728124,1 +80081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.295201582,1 +80083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.165098549,1 +80082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.544484785,1 +80084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.172460299,1 +80085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.849228306,1 +80087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.307930874,1 +80088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.073999653,1 +80089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.023934176,1 +80086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.903957121,1 +80090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.51965297,1 +80091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.275992127,1 +80093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.468178202,1 +80094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.958007594,1 +80095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.575357394,1 +80096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.578260469,1 +80092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.024772555,1 +80097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.528649435,1 +80098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.499979027,1 +80099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.791587259,1 +80100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.60794425,1 +80101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.277956579,1 +80102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.201185478,1 +80104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.398273642,1 +80105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.22072473,1 +80106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.148155172,1 +80103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.043388791,1 +80108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.753761167,1 +80107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.57628644,1 +80109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.525918344,1 +80110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.389469831,1 +80113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.541717353,1 +80111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.128791114,1 +80114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.578300779,1 +80112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.64675185,1 +80115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.966045816,1 +80116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.024238828,1 +80117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.880996421,1 +80118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.344615982,1 +80119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.493331328,1 +80120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.165907733,1 +80122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.075770118,1 +80123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.124620317,1 +80124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.106478327,1 +80121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.950890655,1 +80126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.696032647,1 +80125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.496018773,1 +80127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.862206588,1 +80128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.906031688,1 +80129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.493829131,1 +80132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.252667894,1 +80131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.079325086,1 +80130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.003778543,1 +80133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.45368844,1 +80134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.466621325,1 +80135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.399948443,1 +80136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.828290042,1 +80137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.990429025,1 +80138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.643152167,1 +80139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.145362569,1 +80141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.324231404,1 +80140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.778152414,1 +80143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.737431395,1 +80142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.617014844,1 +80145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.050612442,1 +80144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.983451192,1 +80147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.280187466,1 +80146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.159542855,1 +80149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.285570197,1 +80150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.921326321,1 +80151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.734764627,1 +80152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.299134198,1 +80153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.873336938,1 +80154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.431563701,1 +80148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.014921253,1 +80155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.324378517,1 +80157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.12294861,1 +80159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.019588989,1 +80156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.75728582,1 +80158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.469036797,1 +80162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.712684356,1 +80160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.61861265,1 +80163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.226962267,1 +80161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.844201377,1 +80164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.719534694,1 +80165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.774577048,1 +80167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.685721036,1 +80168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.889945817,1 +80169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.408160043,1 +80166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.013663023,1 +80170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.077664312,1 +80171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.371679821,1 +80172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.284961554,1 +80174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.905716473,1 +80173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.216187719,1 +80176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.695336633,1 +80175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.692379045,1 +80177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.575905066,1 +80178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.119909556,1 +80180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.654545677,1 +80179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.330619302,1 +80181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.984358869,1 +80182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.706587751,1 +80183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.900292344,1 +80184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.856065706,1 +80185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.542394636,1 +80188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.245476519,1 +80187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.5344679,1 +80189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.716496378,1 +80186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.229490503,1 +80190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.417359926,1 +80191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.609672711,1 +80192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.135076388,1 +80193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.61566568,1 +80195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.227885831,1 +80194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.010690711,1 +80196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.842845849,1 +80197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.576784578,1 +80198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.893282075,1 +80199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.43997927,1 +80200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.69160977,1 +80201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.294976841,1 +80202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.178966673,1 +80203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.706467905,1 +80204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.576346746,1 +80207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.387715878,1 +80208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.55929564,1 +80206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.79669121,1 +80205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.894087066,1 +80210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.294187669,1 +80209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.397573102,1 +80211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.845647738,1 +80212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.032978951,1 +80214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.019754808,1 +80213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.220891156,1 +80215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.01263626,1 +80217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.178057381,1 +80216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.923942074,1 +80218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.060879985,1 +80219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.870865075,1 +80220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.78958639,1 +80222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.51498973,1 +80223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.609389889,1 +80221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.716260907,1 +80224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.301843258,1 +80226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.869430842,1 +80225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.629825014,1 +80227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.012337536,1 +80228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.588397288,1 +80229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.333843604,1 +80231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.950480514,1 +80232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.489168845,1 +80233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.694684911,1 +80230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.175201376,1 +80234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.944627486,1 +80235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.567614381,1 +80237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.499307246,1 +80236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.732847485,1 +80239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.607181116,1 +80240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.712286833,1 +80241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.078713547,1 +80242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.169280403,1 +80238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.06973141,1 +80244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.15080736,1 +80245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.126968596,1 +80246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.654571332,1 +80247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.602224732,1 +80248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.033455145,1 +80243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.277097932,1 +80249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.295690174,1 +80250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.736400784,1 +80252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.070133601,1 +80251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.841287803,1 +80253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.380332512,1 +80254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,9.335271203,1 +80255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.900655535,1 +80256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.88518045,1 +80258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.66690601,1 +80259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.402005427,1 +80260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.024234876,1 +80261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.96383444,1 +80263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.652900863,1 +80257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.985054786,1 +80264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.394167665,1 +80262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.75415661,1 +80265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.138629683,1 +80266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.596875269,1 +80268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.850157497,1 +80270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.12578296,1 +80267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.545465688,1 +80269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.534641501,1 +80271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.03972014,1 +80274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.779969981,1 +80273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.295290277,1 +80272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.304915681,1 +80275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.345957159,1 +80276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.000683545,1 +80277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.692670125,1 +80279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.59453324,1 +80280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.226974221,1 +80281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.345463015,1 +80278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.417583562,1 +80282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.784436924,1 +80284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.615628387,1 +80283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.654275215,1 +80285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,1.900224698,1 +80286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.594133471,1 +80287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.318274668,1 +80288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.554614512,1 +80290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.267873344,1 +80291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.457506489,1 +80292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.885255754,1 +80289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.81381138,1 +80293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.235331283,1 +80294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.794669192,1 +80295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.920935189,1 +80296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.930386905,1 +80297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.323179343,1 +80298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.457891879,1 +80299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.636381436,1 +80301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.618812461,1 +80300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.247826737,1 +80302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.92834429,1 +80303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.330761087,1 +80305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.59277567,1 +80306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.808137405,1 +80307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.532957461,1 +80304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.207468923,1 +80308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.026344039,1 +80309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.098132251,1 +80310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,8.009045514,1 +80311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.009679351,1 +80313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.479027968,1 +80312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.560424965,1 +80314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.957608198,1 +80316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.922823228,1 +80317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.721142563,1 +80318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.685694561,1 +80319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.147028067,1 +80320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.015994768,1 +80315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.777261343,1 +80322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.964366121,1 +80323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.465787811,1 +80321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.427201272,1 +80324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.378816011,1 +80325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.369685889,1 +80326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.041142549,1 +80328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.017773197,1 +80327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.595962422,1 +80329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.491663434,1 +80330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.217932223,1 +80331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.535298121,1 +80332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.988602464,1 +80333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.071559332,1 +80334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.405999531,1 +80338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.38271976,1 +80337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.538414939,1 +80336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.253962373,1 +80335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.525844151,1 +80339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.895720229,1 +80340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.997761161,1 +80341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,8.397803239,1 +80345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.211931047,1 +80344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.945881806,1 +80342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.810111465,1 +80343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.655114913,1 +80346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.376019038,1 +80347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.130433544,1 +80349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.361373188,1 +80348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.284639801,1 +80351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.514128256,1 +80352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.683315001,1 +80353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.935660144,1 +80354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.675322717,1 +80350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.050218125,1 +80355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.466964908,1 +80357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.18727202,1 +80358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.375800296,1 +80359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.913568245,1 +80356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.026242924,1 +80361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.730444811,1 +80362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.139776402,1 +80360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.184910532,1 +80363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.415756134,1 +80364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.763604562,1 +80365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.589649418,1 +80366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.742911352,1 +80367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.935686979,1 +80369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.348599077,1 +80370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.880174595,1 +80371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.200201935,1 +80372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.126349109,1 +80373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.662756334,1 +80368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.139713927,1 +80377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.524419211,1 +80376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,8.166707818,1 +80375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.40099199,1 +80374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.937272939,1 +80378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.470394791,1 +80379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.123346762,1 +80380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.708426969,1 +80381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.557321208,1 +80382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.575327093,1 +80383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.730233655,1 +80384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.761211276,1 +80385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.276710885,1 +80386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.478469646,1 +80387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.422462295,1 +80388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.172863254,1 +80389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.09838919,1 +80392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,1.978199886,1 +80391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.13523416,1 +80390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.121183751,1 +80393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.943647214,1 +80394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.582112232,1 +80395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.160931648,1 +80396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.779310021,1 +80397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.394855657,1 +80398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.750973415,1 +80399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.536476933,1 +80400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.912910838,1 +80402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.789867784,1 +80401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.361202959,1 +80404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.15131061,1 +80403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.845345801,1 +80405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.106932606,1 +80408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.726719523,1 +80406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.257024651,1 +80407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.264413284,1 +80411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.276191136,1 +80409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.553456951,1 +80412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.042803401,1 +80413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.581201642,1 +80414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.779595492,1 +80410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.862940681,1 +80415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.9140795,1 +80417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.153068984,1 +80416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.11633216,1 +80419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.635255994,1 +80420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.067529656,1 +80418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.765544619,1 +80422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.248306844,1 +80421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.225890918,1 +80423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.166039629,1 +80424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.064230795,1 +80426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.159203983,1 +80425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.018750591,1 +80427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.707412762,1 +80428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.571869063,1 +80429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.474755039,1 +80431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.988318333,1 +80430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.294808944,1 +80433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.692151753,1 +80434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.104033688,1 +80435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.440724346,1 +80432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.161172907,1 +80436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.3263495,1 +80437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.991815901,1 +80439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.615731779,1 +80438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.787208086,1 +80440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.334162896,1 +80441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.965850907,1 +80442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.079163255,1 +80443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.517777767,1 +80445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.112518398,1 +80444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.950822227,1 +80446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.369288701,1 +80447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.095001718,1 +80448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.503846219,1 +80449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.575328488,1 +80451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.058299717,1 +80450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.842078751,1 +80452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.430126684,1 +80453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.830302905,1 +80455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.799405831,1 +80456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.286287876,1 +80457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.588951851,1 +80458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.292183709,1 +80459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.8594711,1 +80460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.594614105,1 +80454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.494648878,1 +80461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.249429996,1 +80462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.618376511,1 +80463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.335825252,1 +80466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.000943789,1 +80464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.640705847,1 +80467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.852579561,1 +80465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.098940753,1 +80469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.78414501,1 +80468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.516883733,1 +80470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.877235636,1 +80471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.412548094,1 +80472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.473359685,1 +80473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.195982278,1 +80474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.514002811,1 +80475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.976563904,1 +80476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.574087905,1 +80478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.471062288,1 +80479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.37941776,1 +80480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.506484974,1 +80481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.034114338,1 +80477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.555992044,1 +80482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.154305769,1 +80483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.304472235,1 +80484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.670805763,1 +80485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.432164435,1 +80486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.290313892,1 +80487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.801894985,1 +80488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.533499378,1 +80490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.353200595,1 +80489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.521893624,1 +80491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.964303177,1 +80492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.936112226,1 +80493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.425462424,1 +80494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.036258744,1 +80495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.494563275,1 +80496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.337606382,1 +80497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.949964497,1 +80499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.268016706,1 +80500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,8.410354483,1 +80501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.742814942,1 +80498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.994286073,1 +80502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.713247994,1 +80503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.503074825,1 +80504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.64501809,1 +80505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.897308996,1 +80506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.366428855,1 +80507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,8.302591088,1 +80508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.040931503,1 +80510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.695157542,1 +80509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.613912907,1 +80511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.438195694,1 +80512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.529552271,1 +80513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.712983022,1 +80514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.240564921,1 +80516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.822272496,1 +80515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.941000479,1 +80517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.858943241,1 +80518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.116859553,1 +80519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.769373469,1 +80520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.034258101,1 +80523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.875568022,1 +80522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.761561198,1 +80524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.280894979,1 +80521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.488732113,1 +80525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.119771339,1 +80526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.942267988,1 +80527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.583663468,1 +80530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.164792401,1 +80531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.244326581,1 +80528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.987497429,1 +80529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.679117718,1 +80533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.204678429,1 +80532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.809470532,1 +80535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.584788341,1 +80534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.310561979,1 +80536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.123878379,1 +80537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.227106402,1 +80538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.649790811,1 +80539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.518638867,1 +80540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.104444779,1 +80541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.391567259,1 +80542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.959418813,1 +80545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.148022269,1 +80544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.604896724,1 +80546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.253897081,1 +80548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.284956942,1 +80543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.009093727,1 +80547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.991112834,1 +80549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.443923054,1 +80550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.221111366,1 +80551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.3342049,1 +80552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.060245856,1 +80553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.251040546,1 +80555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.477913186,1 +80554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.988737163,1 +80556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.599005837,1 +80557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.422841946,1 +80559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.068250257,1 +80560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.268561462,1 +80561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.409002974,1 +80558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.899202212,1 +80562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.600082593,1 +80563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.477259192,1 +80564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.897425329,1 +80565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.960073179,1 +80566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.89618419,1 +80567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.850441741,1 +80569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.965332623,1 +80568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.692909943,1 +80571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.137180396,1 +80570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.312323805,1 +80572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.791732057,1 +80575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.758556561,1 +80574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.854516871,1 +80573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.832255047,1 +80576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.409231608,1 +80578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.673608047,1 +80579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.087443806,1 +80577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.083285983,1 +80581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.164126152,1 +80580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.236882163,1 +80583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.989236973,1 +80584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.741916902,1 +80582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.182708176,1 +80585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.717941841,1 +80586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.087916701,1 +80587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.812247903,1 +80589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.482581289,1 +80590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.594378884,1 +80591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.058122314,1 +80588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.384089701,1 +80592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.095028743,1 +80596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.378303503,1 +80593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.023150207,1 +80595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.527616373,1 +80594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.083257905,1 +80598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.504683092,1 +80599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.245653898,1 +80600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.077703342,1 +80597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.408556268,1 +80601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.056722123,1 +80603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.582120894,1 +80605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.965950417,1 +80604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.191820854,1 +80606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.74387884,1 +80602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.928090107,1 +80608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.643319533,1 +80607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.49089639,1 +80609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.600203862,1 +80610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.531270532,1 +80611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.890695678,1 +80612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.246494555,1 +80613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.447206896,1 +80614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.778300324,1 +80616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.650816633,1 +80617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.087193123,1 +80615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.172182527,1 +80619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.042597883,1 +80620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.746621103,1 +80621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.454197544,1 +80622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.012650648,1 +80618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.503762687,1 +80624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.613082259,1 +80623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.897872153,1 +80626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.594502399,1 +80625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.488872502,1 +80627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.570055783,1 +80628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.703571021,1 +80630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.871098762,1 +80629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.046086286,1 +80632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.916476709,1 +80633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.576353512,1 +80631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.179120119,1 +80634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.013777995,1 +80635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.41081203,1 +80636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.687798399,1 +80637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.499394565,1 +80639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.896870901,1 +80638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.89597734,1 +80640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.685271296,1 +80642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.533002875,1 +80641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.44103271,1 +80643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.222715904,1 +80644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.652562674,1 +80645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.65171722,1 +80646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.147702306,1 +80647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.333437082,1 +80648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.74118923,1 +80649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,8.226430305,1 +80650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.161480908,1 +80652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.291068492,1 +80651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.130185711,1 +80653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.423782013,1 +80655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.288362595,1 +80654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.320543929,1 +80657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.51044788,1 +80656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.97597324,1 +80659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.627298343,1 +80658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.074397742,1 +80660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.968763772,1 +80661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.101992428,1 +80662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.661117631,1 +80664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.979191772,1 +80663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.145721439,1 +80665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.881196082,1 +80666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.709195305,1 +80667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.618514011,1 +80668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.428956046,1 +80669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.505385016,1 +80672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.890060565,1 +80670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.271277409,1 +80671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.725029079,1 +80674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.299129105,1 +80675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.647958304,1 +80676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.683430342,1 +80673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.71257782,1 +80677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.754748791,1 +80678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.981803878,1 +80679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.939101239,1 +80681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.926398563,1 +80682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.889352905,1 +80683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.106521539,1 +80680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.565929822,1 +80684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.021270687,1 +80685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.751379061,1 +80686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.321716892,1 +80688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.401600392,1 +80687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.962179252,1 +80689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.401872277,1 +80690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.746071548,1 +80691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.44189899,1 +80693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.028987804,1 +80694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.378421117,1 +80695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.811938695,1 +80692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.039166035,1 +80696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.140135259,1 +80697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.025031875,1 +80698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.794211503,1 +80700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.758006829,1 +80699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.393970288,1 +80701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.893723684,1 +80703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.501358279,1 +80702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.194214115,1 +80704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.224450488,1 +80705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.794534384,1 +80706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.536523709,1 +80707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.088292862,1 +80708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.979081937,1 +80710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.551515645,1 +80709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.877132063,1 +80711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.302156566,1 +80713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.69602619,1 +80714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.497681389,1 +80715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.375498383,1 +80712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.189620828,1 +80718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.918122348,1 +80716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.738049511,1 +80717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.606253046,1 +80719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.16956068,1 +80720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.541433754,1 +80721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.042030883,1 +80722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.412989857,1 +80723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.099656105,1 +80724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.064554837,1 +80725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.195742959,1 +80726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.858680164,1 +80729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.570682159,1 +80727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.78676691,1 +80728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.62611048,1 +80730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.127924187,1 +80733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.827629101,1 +80734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.822782654,1 +80731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.387840588,1 +80732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.434731227,1 +80735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.511459135,1 +80736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.088473648,1 +80737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.172265091,1 +80738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.057974749,1 +80739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.287231428,1 +80740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.638689231,1 +80741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.429369532,1 +80742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.887215445,1 +80743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.357131191,1 +80744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.228817651,1 +80745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.569459231,1 +80746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.599442403,1 +80749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.134402033,1 +80747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.390862852,1 +80748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.885249876,1 +80753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.4650567,1 +80750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.247525554,1 +80752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.997264641,1 +80754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.11347624,1 +80755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.601535435,1 +80756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.508023352,1 +80751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.820218525,1 +80757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.788990219,1 +80759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.799783612,1 +80758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.780371406,1 +80760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.076272172,1 +80761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.995552544,1 +80763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.468358648,1 +80762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.371220622,1 +80764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.066012562,1 +80765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.013393981,1 +80766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.48066357,1 +80767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.188457492,1 +80768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.947151747,1 +80769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.168730649,1 +80771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.698799316,1 +80773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.161266926,1 +80770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.940386927,1 +80774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.870286875,1 +80775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.766045465,1 +80776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.755941096,1 +80772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.433171783,1 +80777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.674172808,1 +80778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.813365236,1 +80780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.911188849,1 +80779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.337562335,1 +80782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.912700453,1 +80781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.559422287,1 +80783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.670457723,1 +80784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.92965873,1 +80785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,8.18840614,1 +80786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.824397444,1 +80787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.996952437,1 +80788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.204935287,1 +80789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.406105739,1 +80790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.644616975,1 +80792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.735692847,1 +80794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.787371875,1 +80791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.732290392,1 +80793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.472753755,1 +80795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.842831254,1 +80796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.35212663,1 +80797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.499925395,1 +80798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.011955157,1 +80799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.902208652,1 +80802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.529090096,1 +80800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.399712353,1 +80801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.570250086,1 +80804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.161594457,1 +80803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.662937426,1 +80806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.236795164,1 +80805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.852459681,1 +80807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.173449065,1 +80808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.934143373,1 +80810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.549877504,1 +80809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.351548277,1 +80811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.17339252,1 +80814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.40345102,1 +80813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.525681825,1 +80815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.39012704,1 +80816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.964804279,1 +80812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.656300578,1 +80818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.237123988,1 +80817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.552117171,1 +80819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.903384756,1 +80822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.87664248,1 +80821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.69209845,1 +80820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.17572393,1 +80824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.095455479,1 +80823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.782019205,1 +80826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.164021253,1 +80825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.415449675,1 +80828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.507118958,1 +80830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.15385859,1 +80831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.379191297,1 +80827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.293065586,1 +80832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.238370521,1 +80829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.555468074,1 +80833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.820154289,1 +80835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.599338804,1 +80834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.417370779,1 +80836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.765391155,1 +80837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.185276268,1 +80840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.22490599,1 +80839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.413247459,1 +80838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.683290796,1 +80841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.779878731,1 +80842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.177860197,1 +80843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.776034762,1 +80844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.857281992,1 +80845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.246685271,1 +80848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.366610313,1 +80846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.801398797,1 +80849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.437870147,1 +80850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.16568711,1 +80847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.373549912,1 +80852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.5942553,1 +80853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.398321904,1 +80854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.91787988,1 +80851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.533538357,1 +80855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.168556487,1 +80857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.31997554,1 +80858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.079530543,1 +80856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.922142629,1 +80859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.305064403,1 +80860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.762816398,1 +80861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.060176232,1 +80862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.056428535,1 +80863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.097530663,1 +80866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.076003352,1 +80865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.439982289,1 +80864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.037663131,1 +80867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.643152358,1 +80868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.072219114,1 +80869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.714943253,1 +80870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.703795179,1 +80872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.925354139,1 +80873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.491001878,1 +80871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.216723299,1 +80874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.857384838,1 +80875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.344550507,1 +80876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.74301502,1 +80877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.759380579,1 +80878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.599909024,1 +80879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.648023488,1 +80880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.934769476,1 +80882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.966333505,1 +80881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.149099289,1 +80884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.10419868,1 +80883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.64152667,1 +80886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.348163456,1 +80885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.517213455,1 +80887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.97732098,1 +80888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.626487892,1 +80889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.715362019,1 +80890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.626917892,1 +80891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.701796142,1 +80892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.628700676,1 +80894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,8.612948704,1 +80895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.219994009,1 +80893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.330091773,1 +80896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.735126714,1 +80897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.868200237,1 +80898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.560076297,1 +80899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.851305041,1 +80901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.080386343,1 +80902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.585165351,1 +80903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.14967559,1 +80900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.306106767,1 +80904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.801652964,1 +80905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.988009617,1 +80907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.014766814,1 +80908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.484972199,1 +80910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.191103184,1 +80909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.904802251,1 +80911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.722901151,1 +80913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.476278702,1 +80906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.826134675,1 +80912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.876437147,1 +80914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.516089564,1 +80915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.865394034,1 +80917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.640353184,1 +80916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.174080577,1 +80918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.570951017,1 +80920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.574229953,1 +80921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.914180081,1 +80922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.574270523,1 +80924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.765612841,1 +80923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.080595935,1 +80925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.290569193,1 +80919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.753379211,1 +80926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.363521193,1 +80928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.903986893,1 +80929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.483109464,1 +80930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.787183971,1 +80931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.403799711,1 +80927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.648275937,1 +80932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.532786604,1 +80935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.570122394,1 +80936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.978574512,1 +80933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.226345202,1 +80934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.280017904,1 +80938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.056883821,1 +80939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.370936894,1 +80937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.91513947,1 +80940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.499784454,1 +80942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.670350879,1 +80943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,1.967672376,1 +80944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.086080252,1 +80941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.449027605,1 +80945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.579063811,1 +80947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.244827169,1 +80948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.243997397,1 +80950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.491383735,1 +80946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.325989732,1 +80949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.11320145,1 +80951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.797984561,1 +80952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.984904308,1 +80953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.407388869,1 +80954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.902767505,1 +80955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.364413697,1 +80956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.497588741,1 +80957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.914468177,1 +80958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.890204231,1 +80960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.725241349,1 +80962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.432556157,1 +80961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.504402175,1 +80959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.997243102,1 +80963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.694290163,1 +80964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.897025401,1 +80966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.575565796,1 +80965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,8.132756447,1 +80967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.987915559,1 +80968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.691236371,1 +80969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.529180973,1 +80970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.239541794,1 +80971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,2.642669764,1 +80972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.882179621,1 +80973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.358265945,1 +80975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.196992832,1 +80974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.123652144,1 +80976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.494919098,1 +80977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.929768113,1 +80980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.820382855,1 +80979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.441986217,1 +80978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.984756774,1 +80981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.132301565,1 +80982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.910056662,1 +80983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.193205934,1 +80985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.059297226,1 +80986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.66603945,1 +80987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.785651246,1 +80988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.136936844,1 +80989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.270791945,1 +80984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.591109514,1 +80990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.325099816,1 +80991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.962899669,1 +80992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,4.795701022,1 +80993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.291718073,1 +80995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.667886266,1 +80994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,6.551277601,1 +80996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.470233529,1 +80997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.35397622,1 +80998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,5.255261995,1 +80999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,3.765468754,1 +81000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,1,1,7.068066391,1 +90001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.791998715,1 +90002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.483577315,1 +90004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.261573488,1 +90003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.478135578,1 +90005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.580621113,1 +90006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.964122789,1 +90007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.608022571,1 +90009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.536776626,1 +90008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.912790276,1 +90010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.350143267,1 +90011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.360738896,1 +90012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.344092576,1 +90014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.686202947,1 +90015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.237351459,1 +90016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.601016773,1 +90013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.233691322,1 +90017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.392630548,1 +90018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.074368763,1 +90019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.413909885,1 +90021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.584944445,1 +90022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.150039501,1 +90020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.757830288,1 +90023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.900539485,1 +90024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.886090694,1 +90025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.673136075,1 +90027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,2.661112386,1 +90026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.364421593,1 +90029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.049320109,1 +90028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.25518974,1 +90030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.785112089,1 +90032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.494682578,1 +90031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.250663423,1 +90033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.456101397,1 +90035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.086734988,1 +90034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.842321205,1 +90037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.945599524,1 +90038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.560338229,1 +90039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.117961283,1 +90040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.340062472,1 +90036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.105945281,1 +90042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.441665254,1 +90044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,8.488468205,1 +90041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.284836589,1 +90043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.371684863,1 +90045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.695656367,1 +90046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.85804929,1 +90048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.310991689,1 +90047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.873607984,1 +90049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.391586828,1 +90050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.108721444,1 +90051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.303678956,1 +90052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.419921275,1 +90053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,2.069133399,1 +90055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.083145586,1 +90056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.178601235,1 +90057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.737204197,1 +90058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.799371247,1 +90059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.318238472,1 +90054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.239665043,1 +90060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.450522988,1 +90061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.780799087,1 +90062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.493494295,1 +90063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.150812655,1 +90064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.99976015,1 +90065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.01460977,1 +90066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.194400631,1 +90067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.644075125,1 +90068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.713183538,1 +90069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.542433612,1 +90070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.253472973,1 +90071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.292835446,1 +90072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.549360275,1 +90074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.461467602,1 +90073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.308686834,1 +90076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.164562233,1 +90077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.413375017,1 +90078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.276477289,1 +90079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.12090234,1 +90075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.293337882,1 +90081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.478698121,1 +90080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.629525401,1 +90082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.000635572,1 +90085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.751839522,1 +90084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.408256873,1 +90087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.124447202,1 +90088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.052144583,1 +90083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.350975588,1 +90086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,8.776227412,1 +90092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.99360934,1 +90091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.595655083,1 +90090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.654399097,1 +90089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.550464537,1 +90093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.759982002,1 +90095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.967439141,1 +90094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.648897999,1 +90096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.849265246,1 +90097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.992983574,1 +90098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.892697216,1 +90100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.521057112,1 +90101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.638195833,1 +90103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.929473658,1 +90102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.316197772,1 +90099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.427217337,1 +90104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.616388441,1 +90106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.447661982,1 +90107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.303187334,1 +90105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.487241998,1 +90108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.515516835,1 +90109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.105613617,1 +90111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.267413639,1 +90110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.512107039,1 +90113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.40702034,1 +90112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.278063514,1 +90115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.299487398,1 +90114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.818605608,1 +90116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.420559458,1 +90117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.952407427,1 +90119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.792382099,1 +90121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.815405884,1 +90120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.944195877,1 +90118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.403217447,1 +90123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.586791653,1 +90124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.508585485,1 +90125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.906448977,1 +90126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.681529739,1 +90122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.389044736,1 +90127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.799241201,1 +90128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.980613627,1 +90129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.910539079,1 +90131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.608391174,1 +90132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.923938925,1 +90133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.528218716,1 +90130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.279665672,1 +90134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.859115212,1 +90137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.259563033,1 +90136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.021924015,1 +90135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.140267051,1 +90138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.844824079,1 +90139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.110187445,1 +90140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.132187075,1 +90141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.307114837,1 +90142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.665315383,1 +90144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.004955004,1 +90146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.495281448,1 +90145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.684838246,1 +90147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.954501562,1 +90143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.748973002,1 +90148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.464614553,1 +90149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.853570596,1 +90151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.858181341,1 +90150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,2.944410983,1 +90152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.01200936,1 +90153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.653102749,1 +90154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.0766268,1 +90155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.48187721,1 +90156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.502416911,1 +90157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.669169493,1 +90158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.069208018,1 +90159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.659842797,1 +90160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.936073741,1 +90163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.750338859,1 +90161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.820898109,1 +90164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.219821901,1 +90162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.696962905,1 +90166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.927806755,1 +90165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.123475704,1 +90167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.331973375,1 +90168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.206075885,1 +90170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.623454387,1 +90172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.045509078,1 +90171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.188173466,1 +90173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.899288796,1 +90174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.120142706,1 +90175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.028997366,1 +90169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.441087688,1 +90176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.08665381,1 +90178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.798117534,1 +90180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,8.246257901,1 +90177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.335622007,1 +90179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.242623934,1 +90181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.989170334,1 +90183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.278107273,1 +90184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.141428237,1 +90182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.838760954,1 +90185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.516470903,1 +90186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,2.934933501,1 +90188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.637794721,1 +90189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.663180204,1 +90190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.358216815,1 +90191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.398866732,1 +90192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.636203232,1 +90187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.023896426,1 +90193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.806222357,1 +90194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.169953183,1 +90196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.05058783,1 +90195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.183645575,1 +90198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.935085158,1 +90197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.150015389,1 +90199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.393306771,1 +90200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.087532143,1 +90202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.526414618,1 +90201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.09989246,1 +90203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.272107552,1 +90204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.575965251,1 +90205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.023289808,1 +90206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.82358093,1 +90208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.574145343,1 +90209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.603838501,1 +90210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,2.553767785,1 +90207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.477316259,1 +90212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.337619143,1 +90211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.290773918,1 +90213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.14485497,1 +90214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.606824855,1 +90215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.044298123,1 +90216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.588662932,1 +90217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.154093638,1 +90218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.954508676,1 +90220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.865621238,1 +90219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.447807861,1 +90221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.092826349,1 +90222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.802054912,1 +90223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.715775559,1 +90224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.413862326,1 +90225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.886954003,1 +90227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.342600215,1 +90228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.67966831,1 +90229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.314515521,1 +90226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.872482377,1 +90230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.487955072,1 +90231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.70690332,1 +90232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.349149399,1 +90233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.350092531,1 +90234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.829433429,1 +90235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.269288073,1 +90236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.065624709,1 +90237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.566782218,1 +90238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.366231562,1 +90239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.62936312,1 +90240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.21368179,1 +90242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.974889906,1 +90241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.771327708,1 +90244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.686940593,1 +90246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.56946042,1 +90245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.371775389,1 +90243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.611694784,1 +90247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.075933667,1 +90248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.791684986,1 +90249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.400020432,1 +90251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.153446157,1 +90250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.370096813,1 +90252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.134885215,1 +90253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.206581141,1 +90254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.198127484,1 +90255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.30285453,1 +90256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,2.783738454,1 +90257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.354505452,1 +90258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.712646557,1 +90259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.346017646,1 +90260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.090789679,1 +90261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.414412994,1 +90262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,2.602415536,1 +90263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.018891893,1 +90265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.728436396,1 +90266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.22273404,1 +90264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.431856736,1 +90268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,2.188272073,1 +90269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.026686612,1 +90270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.813039548,1 +90267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.512929637,1 +90271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.101077496,1 +90273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.519332912,1 +90272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.191143147,1 +90274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.749386599,1 +90275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.098933545,1 +90277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.744999617,1 +90278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.529277712,1 +90279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.77128372,1 +90280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.238004082,1 +90276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.227332409,1 +90281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.10603461,1 +90282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.849824315,1 +90283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.077212803,1 +90286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.092591209,1 +90284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.734831518,1 +90285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.67010621,1 +90287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.709868879,1 +90290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.66595818,1 +90288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.482620717,1 +90289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.343237939,1 +90291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.790450878,1 +90292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.850273559,1 +90293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.496620931,1 +90294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.538714507,1 +90295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.845036722,1 +90296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.62691762,1 +90297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.165296681,1 +90299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.023612431,1 +90301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.262820293,1 +90302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.517568937,1 +90298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.882128441,1 +90300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.692402674,1 +90303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.156338875,1 +90305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.786084747,1 +90306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.210205458,1 +90307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.414711836,1 +90304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.106386863,1 +90308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.707457175,1 +90309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.812275471,1 +90310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.920800238,1 +90311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.569483472,1 +90313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,2.914031935,1 +90315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.619644601,1 +90314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.985263426,1 +90316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.774616554,1 +90317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.989916633,1 +90318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,2.948502123,1 +90312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,2.041023002,1 +90322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.687986485,1 +90319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.318432552,1 +90320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.215968053,1 +90321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.499801309,1 +90324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.444412718,1 +90323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.619073032,1 +90325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.467014788,1 +90326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.158622681,1 +90329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.264965253,1 +90327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.931549768,1 +90328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.864091697,1 +90330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.800042022,1 +90332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.722671674,1 +90331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.18581228,1 +90334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.92545361,1 +90333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.637074458,1 +90335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.295547024,1 +90336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.741416537,1 +90337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,2.977787331,1 +90339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.096346842,1 +90338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.037993801,1 +90340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.199679646,1 +90341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.006717854,1 +90342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.202816108,1 +90344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.105344045,1 +90345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.357277132,1 +90343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.952027091,1 +90346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.415686968,1 +90347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.177874679,1 +90348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.145829545,1 +90349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.553176946,1 +90351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.20471149,1 +90350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.179502494,1 +90352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.808177047,1 +90354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.338553324,1 +90355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.749754236,1 +90356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.138730549,1 +90353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.531068626,1 +90357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.952136563,1 +90358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.341948685,1 +90359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.990850882,1 +90361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.831175297,1 +90362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.932610432,1 +90363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.701931791,1 +90360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.351341402,1 +90366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.396678467,1 +90365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.623568283,1 +90364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.41550119,1 +90367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.81001619,1 +90368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.268990412,1 +90369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.955010545,1 +90370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.87411543,1 +90372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.244061656,1 +90373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.911092202,1 +90374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.561279757,1 +90371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.118049833,1 +90375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.201953908,1 +90376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.515146885,1 +90377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.231932412,1 +90379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.686071388,1 +90380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.472768453,1 +90381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.251904391,1 +90378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.935489175,1 +90382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.742426665,1 +90385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.076717959,1 +90383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.12661077,1 +90384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.885953152,1 +90386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.303340532,1 +90387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.023118077,1 +90388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.598599754,1 +90389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.766028181,1 +90390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.914220671,1 +90393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.637391972,1 +90392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.093604595,1 +90394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.9331119,1 +90395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.609038192,1 +90396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.98886488,1 +90391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.285885252,1 +90397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.89632714,1 +90399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.283374533,1 +90398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.486746612,1 +90400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.40165862,1 +90401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.588735215,1 +90402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.472110416,1 +90403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.555267293,1 +90404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.877695289,1 +90405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.18663741,1 +90406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,2.549690055,1 +90408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.283407404,1 +90407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.553940997,1 +90409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.915676431,1 +90410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.399949665,1 +90412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.175097619,1 +90413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.653692694,1 +90411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,8.058543321,1 +90414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.910213547,1 +90416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.658075059,1 +90415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.105166741,1 +90417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.550998082,1 +90418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.972832896,1 +90419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.439530727,1 +90421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.774323433,1 +90422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.827916605,1 +90423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.006139135,1 +90424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.579407356,1 +90425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.53736252,1 +90420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,8.155906031,1 +90426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.443529218,1 +90427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,2.814274072,1 +90428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.476890492,1 +90429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.042557016,1 +90430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.357959661,1 +90432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.009403745,1 +90431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.201191936,1 +90433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.336005074,1 +90434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.900899019,1 +90436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.469081467,1 +90435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.878476247,1 +90438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.682917109,1 +90439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.053619669,1 +90440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.841165395,1 +90441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.234933834,1 +90442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.810685999,1 +90437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.823949511,1 +90444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.225067372,1 +90443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.804153836,1 +90446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.628220161,1 +90445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.529360647,1 +90447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.708926284,1 +90448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.341435589,1 +90450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.918820028,1 +90451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.483702238,1 +90449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.392770829,1 +90452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,2.688773552,1 +90453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.950980716,1 +90454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.809912131,1 +90455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.61309734,1 +90456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.09534902,1 +90457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.639545811,1 +90460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.402021327,1 +90458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.127748,1 +90459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.412165854,1 +90461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.784504726,1 +90462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.885272178,1 +90463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.799150279,1 +90464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.780938371,1 +90465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.389732753,1 +90466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.025744083,1 +90467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.566977024,1 +90468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.692201545,1 +90469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.500134788,1 +90470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,8.685601664,1 +90471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.724937616,1 +90473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.436227392,1 +90472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.538573042,1 +90474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.557680848,1 +90475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.53025768,1 +90476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.107524544,1 +90477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.045120613,1 +90478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.623521218,1 +90479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.946315424,1 +90480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.128997289,1 +90482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.211043374,1 +90483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.991163689,1 +90481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.782269806,1 +90484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.036543468,1 +90485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.590628839,1 +90486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.414747678,1 +90488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.683542504,1 +90489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.706603931,1 +90487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.645185959,1 +90490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.615774301,1 +90491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.326766308,1 +90492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.250422169,1 +90493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.409626166,1 +90494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.404475911,1 +90495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.95181948,1 +90496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.966593851,1 +90498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.411357766,1 +90499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.576801429,1 +90500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.077323672,1 +90501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.026145005,1 +90497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.458150532,1 +90502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.222776904,1 +90503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.322406891,1 +90504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,2.865867344,1 +90505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.57374273,1 +90506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.979017547,1 +90507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.613939421,1 +90508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.108190599,1 +90509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.572571784,1 +90510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.92121876,1 +90511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.131412082,1 +90512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.499461769,1 +90513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.160156199,1 +90514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.638237318,1 +90515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.1885687,1 +90516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.130593069,1 +90518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.23451687,1 +90519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.228457056,1 +90520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.49194895,1 +90517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.507963285,1 +90521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.306638919,1 +90522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,2.00338044,1 +90523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.766691087,1 +90525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.573672216,1 +90526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.177749888,1 +90524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.83811366,1 +90527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.495339157,1 +90528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.633288569,1 +90529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.645704318,1 +90531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.1562381,1 +90530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.000316445,1 +90532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.34945982,1 +90533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.612686357,1 +90534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,8.285401165,1 +90535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.108965,1 +90536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.30546512,1 +90538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.138437297,1 +90539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.614030708,1 +90540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.992838268,1 +90541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.684091716,1 +90537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.636463585,1 +90542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.655593587,1 +90543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.259984877,1 +90544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.807554003,1 +90547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.792853058,1 +90546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.636267532,1 +90548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.705369243,1 +90545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.791454976,1 +90549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.069349153,1 +90550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.934887143,1 +90552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.068441167,1 +90551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.122244835,1 +90553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.512034441,1 +90555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.818478512,1 +90554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.184896055,1 +90556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.110297836,1 +90557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.725154311,1 +90558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.022589119,1 +90560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.150105347,1 +90559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.070504849,1 +90561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.723600256,1 +90563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.173374155,1 +90564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.821243548,1 +90565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,2.72521397,1 +90562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.791548072,1 +90566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.918220817,1 +90567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.584373332,1 +90568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.917396598,1 +90569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.531114248,1 +90570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.370337063,1 +90573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.470500621,1 +90572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.430084969,1 +90574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.106374997,1 +90575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.217019745,1 +90576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.283618978,1 +90577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.276307186,1 +90571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.020653736,1 +90579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,2.605092622,1 +90580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.739233925,1 +90581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.132098451,1 +90578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.7526989,1 +90584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.535867491,1 +90582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.516113308,1 +90583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.307596866,1 +90585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.102733735,1 +90587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.554803964,1 +90588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.685681849,1 +90586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.444673656,1 +90589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.430036157,1 +90590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.579016178,1 +90591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.93179391,1 +90593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.847720395,1 +90595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.670283924,1 +90594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.599283469,1 +90592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.666759376,1 +90596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.425096514,1 +90598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.028873741,1 +90599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,2.814463375,1 +90597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.507503087,1 +90600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.053516664,1 +90601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.061418009,1 +90602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.564376574,1 +90603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,2.255961823,1 +90604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.767807827,1 +90605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.764864889,1 +90607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.471292002,1 +90608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.293816672,1 +90609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.642438512,1 +90610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.728299556,1 +90606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.045396673,1 +90611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.113884202,1 +90612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.81869831,1 +90613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.990049202,1 +90615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.079823465,1 +90614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.112311483,1 +90617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.040856923,1 +90616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,2.518311479,1 +90618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.848510628,1 +90621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.908340907,1 +90620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.549710241,1 +90619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.170298528,1 +90624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.643766124,1 +90622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.661435548,1 +90623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.305807198,1 +90625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.737931442,1 +90627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.043054673,1 +90628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.557950717,1 +90626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.245825261,1 +90629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.752121287,1 +90630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.254844388,1 +90631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.219718984,1 +90632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.118753454,1 +90634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.877604233,1 +90633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.762065688,1 +90635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.67247533,1 +90636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,8.724565493,1 +90637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.396946725,1 +90638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.685181531,1 +90639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.252222549,1 +90640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.34583747,1 +90641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.75994502,1 +90642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.100686219,1 +90643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.622879004,1 +90644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.957284539,1 +90645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.315212898,1 +90648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.222347424,1 +90646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.039527739,1 +90647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.286368316,1 +90650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.654133375,1 +90649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.040809317,1 +90652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.397823896,1 +90651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.089298036,1 +90654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.089375201,1 +90653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.456755911,1 +90655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.642819029,1 +90656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.255680121,1 +90658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.322960087,1 +90657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.255619646,1 +90659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.258351112,1 +90660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.079901718,1 +90661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.810260329,1 +90662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.435188322,1 +90663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.325774239,1 +90665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.709644957,1 +90666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.222871063,1 +90667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.439702736,1 +90668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.386385334,1 +90669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.693093312,1 +90664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.114975642,1 +90670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.4038259,1 +90671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,1.785279731,1 +90672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.735408271,1 +90674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.100965488,1 +90675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.418671712,1 +90676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.349742293,1 +90673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.41620714,1 +90678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.786628949,1 +90680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.88963047,1 +90679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.001405559,1 +90677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,2.936449658,1 +90681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.11265858,1 +90684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.745658987,1 +90683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.782536733,1 +90682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.15655963,1 +90685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.687462478,1 +90686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.382707111,1 +90687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.854042959,1 +90689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.612115157,1 +90690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,8.172255416,1 +90691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.607611465,1 +90693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.371837229,1 +90692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.817288367,1 +90688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.794182787,1 +90695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.202887058,1 +90696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.719139456,1 +90694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.078248072,1 +90697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.129837822,1 +90698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.918240285,1 +90699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.849399556,1 +90700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.015591871,1 +90701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.082045246,1 +90702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.590987177,1 +90703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.640047912,1 +90704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.179164127,1 +90705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.154365387,1 +90707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.090714412,1 +90706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.781517822,1 +90708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.442349503,1 +90709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.655357866,1 +90710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.292093123,1 +90712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.241920017,1 +90711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.689917377,1 +90714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.201313233,1 +90713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.707610578,1 +90716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.837903751,1 +90715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.226990011,1 +90718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.439500236,1 +90717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.558876574,1 +90720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.37230545,1 +90719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.767050466,1 +90721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.397932166,1 +90722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.535262242,1 +90724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,2.969393634,1 +90723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.965179024,1 +90725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.677141221,1 +90727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.838529206,1 +90728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.471139505,1 +90729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.807226513,1 +90726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.767129888,1 +90731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.723798882,1 +90730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.152065625,1 +90732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.997063243,1 +90734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.218223417,1 +90735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.173787627,1 +90736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.206314215,1 +90737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.106291641,1 +90738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.242572984,1 +90733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.430487306,1 +90739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.848045988,1 +90742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.089824694,1 +90740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.514107245,1 +90741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.53114057,1 +90743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.747010471,1 +90745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.280909972,1 +90746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,2.335628123,1 +90747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.705993102,1 +90748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.557743725,1 +90749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.551864501,1 +90744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.177739745,1 +90750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.033955126,1 +90751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.911394829,1 +90752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.628253444,1 +90754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.692854532,1 +90753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.996580347,1 +90755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.789857135,1 +90756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.579823816,1 +90757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.738304981,1 +90758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.502285232,1 +90759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.242729445,1 +90760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.392237727,1 +90761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.499817145,1 +90762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.780326684,1 +90764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.134270015,1 +90763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.662152032,1 +90765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.283546037,1 +90767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.30821035,1 +90768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.641299117,1 +90769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.256600654,1 +90766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.287902908,1 +90770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.361223325,1 +90771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.045560943,1 +90773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.58061661,1 +90772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.938173442,1 +90774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.184050232,1 +90775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,2.649020518,1 +90776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.99244882,1 +90777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.054969549,1 +90778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.678003223,1 +90779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.685000341,1 +90781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.866287932,1 +90782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.226170537,1 +90780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.089338746,1 +90783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.698440831,1 +90784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.50482203,1 +90785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.806404718,1 +90787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.665711711,1 +90786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.692665604,1 +90789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.221595586,1 +90788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.417767615,1 +90792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.706924817,1 +90791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.496224956,1 +90793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.027927821,1 +90794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.362075179,1 +90790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.426017944,1 +90795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.743699416,1 +90797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.184703506,1 +90796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.481409991,1 +90799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.529633846,1 +90798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.843614792,1 +90801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.645846877,1 +90802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.825659619,1 +90803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.205912091,1 +90800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.397337857,1 +90806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.318777745,1 +90807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.663527364,1 +90805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.329115667,1 +90804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.630409447,1 +90809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.593224895,1 +90810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.503915936,1 +90811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.864525746,1 +90812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.888858303,1 +90813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.256765954,1 +90814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.180328797,1 +90808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.10246488,1 +90817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.464541873,1 +90818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.129896722,1 +90815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.768104307,1 +90816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.736345906,1 +90820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.550225201,1 +90821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.062467438,1 +90822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.763321784,1 +90824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.56065939,1 +90823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.495132489,1 +90819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.422652928,1 +90825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.819666659,1 +90826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.068310596,1 +90828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.037355395,1 +90830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.41535846,1 +90831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.877570484,1 +90827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.992364951,1 +90829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.091023433,1 +90833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,1.913699882,1 +90834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.697579777,1 +90832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.576439297,1 +90837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.532456569,1 +90838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.578930571,1 +90839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,2.992384295,1 +90835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.038100093,1 +90836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.57735693,1 +90840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.029188854,1 +90844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.69268057,1 +90842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.797032175,1 +90843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.792657783,1 +90841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,2.961155065,1 +90847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.106944038,1 +90848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.158838906,1 +90846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.819277708,1 +90845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.799587193,1 +90849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.247769188,1 +90850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.082902477,1 +90851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,2.762880033,1 +90852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.641208958,1 +90854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.78289513,1 +90856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.955980289,1 +90853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.136312512,1 +90855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.934369483,1 +90857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.98427592,1 +90858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.106134742,1 +90859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.07751701,1 +90863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.67881691,1 +90860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.103971495,1 +90862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.987733404,1 +90861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.564507878,1 +90864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.758460935,1 +90865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.067729562,1 +90866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,2.908923796,1 +90867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.340039289,1 +90868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.695558435,1 +90870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,8.513227632,1 +90871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.446121459,1 +90869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.882907621,1 +90873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.894905324,1 +90874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,2.820262662,1 +90872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.197054446,1 +90875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,8.814613297,1 +90876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.372391834,1 +90878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.307007996,1 +90877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.130968764,1 +90879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.596523746,1 +90880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.688829725,1 +90881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.637765423,1 +90882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.953783545,1 +90883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.343179477,1 +90884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.194137415,1 +90885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.476976109,1 +90886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.116461987,1 +90888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.8699565,1 +90890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.773511407,1 +90887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.119026049,1 +90889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.767042146,1 +90891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.355101365,1 +90894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.422448301,1 +90892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.351664989,1 +90893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.780672066,1 +90895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.500789056,1 +90896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.189709246,1 +90897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.362286708,1 +90899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.233899774,1 +90898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.137472134,1 +90901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.264766255,1 +90900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.82465202,1 +90902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,2.185544039,1 +90903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.026852321,1 +90904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.638538514,1 +90906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.909221501,1 +90905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.709899763,1 +90907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.432158596,1 +90908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.172374061,1 +90909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.726205548,1 +90910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.859582009,1 +90911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.879223326,1 +90914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.946693971,1 +90912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.489349235,1 +90913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.341594536,1 +90916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.887771426,1 +90915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.11257824,1 +90917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.71864145,1 +90918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.363750879,1 +90921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.453297561,1 +90920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.831656603,1 +90922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.474405878,1 +90919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.964408738,1 +90925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.738943705,1 +90923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.217342212,1 +90924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.530339836,1 +90926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.00275659,1 +90927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.408186312,1 +90928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,2.666349469,1 +90929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.683776987,1 +90930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.165484047,1 +90931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.326925982,1 +90932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.427066616,1 +90933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.473846573,1 +90934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.908329832,1 +90935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.837227215,1 +90936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.259424232,1 +90939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.255639253,1 +90937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.577025024,1 +90938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.655346875,1 +90940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.515949581,1 +90941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.902751195,1 +90943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.362723438,1 +90944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.553959619,1 +90945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.845397145,1 +90942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.198841388,1 +90946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.953240185,1 +90947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.825156649,1 +90949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.898574401,1 +90948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.432513079,1 +90950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.266353343,1 +90951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.584305165,1 +90952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.766714285,1 +90953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.636611776,1 +90955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.037998224,1 +90954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.194660876,1 +90956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,2.745794993,1 +90957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.734055186,1 +90959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.745196444,1 +90958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.641434026,1 +90960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.914285204,1 +90962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.231029299,1 +90963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,6.533913783,1 +90964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.803373243,1 +90961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.376603357,1 +90965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.457790681,1 +90966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.720625836,1 +90967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.325648544,1 +90969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.667300592,1 +90970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.041595941,1 +90968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.168926442,1 +90971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.917098668,1 +90972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.400215346,1 +90973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.294688718,1 +90975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.380501843,1 +90974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.193132705,1 +90976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.994561695,1 +90977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.004631213,1 +90978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.562361529,1 +90979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.171960611,1 +90981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.764625146,1 +90980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.572579305,1 +90982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.477141015,1 +90984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.295740888,1 +90985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.220611669,1 +90986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.884909241,1 +90987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.248786574,1 +90988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.984863545,1 +90983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.24468505,1 +90989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.365196141,1 +90990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.895093554,1 +90991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,8.227031675,1 +90993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.129573414,1 +90992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.473677333,1 +90994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,7.255086106,1 +90995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.849698352,1 +90996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.384339583,1 +90997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.71172633,1 +90998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,4.072765395,1 +90999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,3.766437396,1 +91000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,1,1,5.334915053,1 +100001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.290751313,1 +100002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.468368459,1 +100003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.6315212,1 +100007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.606308284,1 +100004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.649843007,1 +100005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.283361311,1 +100006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.589319692,1 +100008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.366296622,1 +100009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.029181336,1 +100010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.64962092,1 +100011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.302046172,1 +100012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.266951795,1 +100013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.914967323,1 +100014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.371579907,1 +100015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.745354691,1 +100017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.702259276,1 +100018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.121450923,1 +100019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.133334535,1 +100020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.357981263,1 +100021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.261690525,1 +100022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.469466966,1 +100016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.755611402,1 +100025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.66146582,1 +100026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.268209439,1 +100023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.178896454,1 +100024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.049481293,1 +100027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.34847719,1 +100028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.77232296,1 +100029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.601402032,1 +100030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.919471306,1 +100031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.353932467,1 +100032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.587295527,1 +100033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.590886935,1 +100034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.368251209,1 +100035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.825137715,1 +100036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.441405257,1 +100037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.25754923,1 +100038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.396359235,1 +100041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.034159466,1 +100042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.559386958,1 +100039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.444350897,1 +100045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.275106291,1 +100040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.060884399,1 +100043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.155237267,1 +100044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.39011488,1 +100046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.682990177,1 +100047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.18292625,1 +100049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.354523597,1 +100048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.489322048,1 +100050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.244139396,1 +100052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.197289467,1 +100051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.842987263,1 +100053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.038413983,1 +100054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.312361532,1 +100056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.007034459,1 +100055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.369352957,1 +100057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.642362481,1 +100059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.344000241,1 +100061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.246081882,1 +100058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.619717082,1 +100060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.920906691,1 +100064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.400426721,1 +100063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.150311649,1 +100062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.450524001,1 +100065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.791419032,1 +100066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.867174277,1 +100067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.281025135,1 +100068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.262491408,1 +100069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.810003993,1 +100070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.381091134,1 +100071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.689641784,1 +100072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.549240321,1 +100074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.387756218,1 +100073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.521578595,1 +100075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.837835087,1 +100076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.660272927,1 +100079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.20831244,1 +100080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.881419586,1 +100078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.195604625,1 +100077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.668243478,1 +100083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.43530548,1 +100081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.41173268,1 +100084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.675843674,1 +100082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.103453114,1 +100086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.569138944,1 +100087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.234410675,1 +100085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.857587687,1 +100088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.638779347,1 +100089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.161613178,1 +100090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.774749125,1 +100091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.000844994,1 +100092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.140890305,1 +100093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.174192293,1 +100094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.163118732,1 +100096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.434839226,1 +100097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.253068442,1 +100095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.40203484,1 +100098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.530086083,1 +100099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.262470978,1 +100100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.106152194,1 +100101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.111107935,1 +100102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.232646958,1 +100103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.978206256,1 +100104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.464981644,1 +100105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.210461576,1 +100106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.705858918,1 +100107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.729497966,1 +100108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.56945105,1 +100110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.044430174,1 +100109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.444025563,1 +100111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.47648549,1 +100112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.272020973,1 +100113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.734873266,1 +100115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.819228482,1 +100114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.260678683,1 +100116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.191193454,1 +100117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.770489629,1 +100118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.143137215,1 +100119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.748510802,1 +100121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.04650958,1 +100120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.86711822,1 +100122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.171883735,1 +100124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.005719201,1 +100123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.021041605,1 +100125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.41581082,1 +100126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.800720712,1 +100127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.913305688,1 +100129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.800220919,1 +100128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.047857009,1 +100130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.626133984,1 +100132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.715771624,1 +100133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.484250899,1 +100134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.424376996,1 +100131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.172862004,1 +100135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.306937893,1 +100138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.496483571,1 +100137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.68508406,1 +100136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.660149054,1 +100139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.881143822,1 +100140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.812084707,1 +100141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.969496293,1 +100142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.070856507,1 +100143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.519314375,1 +100144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.916768377,1 +100145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.045515518,1 +100147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.470061282,1 +100148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.879170465,1 +100146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.679720605,1 +100149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.267918255,1 +100152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.251229783,1 +100150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.169567119,1 +100151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.88069344,1 +100153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.810128847,1 +100155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.552421769,1 +100156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.564116658,1 +100154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.499376162,1 +100157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.470223622,1 +100158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.365088942,1 +100159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.442321134,1 +100160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.576819279,1 +100161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.640538923,1 +100163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.613950483,1 +100162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.396513245,1 +100164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.073208714,1 +100166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.255129634,1 +100165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.113781795,1 +100167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.565808311,1 +100168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.634387135,1 +100169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.521862648,1 +100170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.512923705,1 +100171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.598058649,1 +100172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.877370032,1 +100173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.752805408,1 +100174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.95089981,1 +100175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.585800292,1 +100176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.88344169,1 +100177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.311742333,1 +100178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.495901936,1 +100179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.683646187,1 +100181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.459893932,1 +100182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.041310026,1 +100180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.797522078,1 +100183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.855128187,1 +100185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,1.665303703,1 +100184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.358961991,1 +100186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.930781002,1 +100187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.528346829,1 +100189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.844638604,1 +100188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.213189995,1 +100190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.097921382,1 +100191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.492934085,1 +100193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.291750562,1 +100192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.589648101,1 +100194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.063334984,1 +100195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.999216616,1 +100197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.085420955,1 +100196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.481282795,1 +100198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.121231029,1 +100199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.841226024,1 +100200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,1.916123291,1 +100201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.682692522,1 +100202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.210255699,1 +100203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.619151041,1 +100204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.456392672,1 +100205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.197073319,1 +100207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.724552383,1 +100208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.047171947,1 +100206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.464370762,1 +100209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.402259258,1 +100211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.352020471,1 +100212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.750860278,1 +100210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.759626143,1 +100213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.533316239,1 +100214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.046898469,1 +100215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.325047096,1 +100216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.426085098,1 +100217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.213982212,1 +100218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.267300795,1 +100219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.396023532,1 +100220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.403997488,1 +100221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.544079222,1 +100223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.852653675,1 +100225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.180155405,1 +100224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.140632915,1 +100222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.579077449,1 +100226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.93797372,1 +100227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.70671759,1 +100228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.501377438,1 +100230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.563241631,1 +100229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.371661708,1 +100231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,8.208044588,1 +100232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.079233733,1 +100233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,8.010115765,1 +100234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.413046091,1 +100235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.653319285,1 +100236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.900657179,1 +100237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.667791511,1 +100238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.597473932,1 +100240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.471216112,1 +100239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.645126192,1 +100241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.605100299,1 +100244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.248395815,1 +100242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.136427965,1 +100243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.066318384,1 +100245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.591344504,1 +100246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.869955597,1 +100248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.01502064,1 +100247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.694025483,1 +100250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.696555849,1 +100249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.832906431,1 +100251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.561303246,1 +100252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.059483968,1 +100253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.690821567,1 +100254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.051284548,1 +100255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.983757259,1 +100256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.610549965,1 +100258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.616318558,1 +100257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.11242397,1 +100259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.494057177,1 +100260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.98865473,1 +100262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.723267853,1 +100261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.896763745,1 +100263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.96037755,1 +100264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.638568951,1 +100265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.77243435,1 +100266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.533211954,1 +100267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.067455656,1 +100269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.322275615,1 +100271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.08077614,1 +100270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.452359416,1 +100268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.616969984,1 +100273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.728079941,1 +100274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.547266953,1 +100272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.228104594,1 +100275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.686336607,1 +100277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.903902321,1 +100278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.471190182,1 +100276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.602517115,1 +100279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.752903185,1 +100281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.149672145,1 +100282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.102380249,1 +100280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.975538627,1 +100283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.226597126,1 +100285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.907023375,1 +100284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.499946116,1 +100286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,9.077605854,1 +100287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.168735963,1 +100289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.804182748,1 +100288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.601609977,1 +100290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.773933391,1 +100291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.221795271,1 +100292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.426237524,1 +100293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.440190086,1 +100294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.398490339,1 +100295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.654571754,1 +100296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.466513333,1 +100297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.194817089,1 +100298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.559127013,1 +100299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.464270357,1 +100300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.425931023,1 +100301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.902328874,1 +100302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.215019145,1 +100303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,8.108190126,1 +100304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.922208306,1 +100305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,8.787283306,1 +100306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.053332651,1 +100307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.712195395,1 +100308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.275722239,1 +100309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.020720424,1 +100311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.72009864,1 +100310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.942092459,1 +100312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.979251011,1 +100313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.814015467,1 +100315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.807177051,1 +100316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.442005551,1 +100317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.102255009,1 +100314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.224829611,1 +100319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.674067183,1 +100318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.464410196,1 +100320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.927674313,1 +100321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.4571709,1 +100322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,9.235293068,1 +100323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.944369098,1 +100325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.916080699,1 +100324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.602870678,1 +100326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.74490334,1 +100327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.637821867,1 +100329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.891438722,1 +100328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.067923204,1 +100330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.482331804,1 +100332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.518462973,1 +100331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.159534693,1 +100333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.313237265,1 +100334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.413227395,1 +100335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.932971745,1 +100338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.001124753,1 +100336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.589297223,1 +100339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.077552829,1 +100337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.34681787,1 +100340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.648257224,1 +100341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.734244037,1 +100342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.101728329,1 +100343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.131561614,1 +100344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.308417242,1 +100346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.731905912,1 +100345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.750119596,1 +100347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.54444866,1 +100348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.021962855,1 +100349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.456133042,1 +100350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.3434728,1 +100351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.827163292,1 +100355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.707683026,1 +100354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,8.583231571,1 +100352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.000000743,1 +100353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.315507883,1 +100358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.837625124,1 +100359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.672020104,1 +100356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.906269268,1 +100357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.304073831,1 +100360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.307333319,1 +100362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.06765099,1 +100361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.130379092,1 +100363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.147035883,1 +100366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.464869684,1 +100364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.576412268,1 +100365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.818850052,1 +100367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.883301117,1 +100368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.554596269,1 +100369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.725548569,1 +100370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.875954303,1 +100371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.924150372,1 +100374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.18499515,1 +100372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.05147599,1 +100373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.76520723,1 +100376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.460475651,1 +100377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.143070438,1 +100375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.833707279,1 +100378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.016081032,1 +100380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.198839333,1 +100379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.711515726,1 +100381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.36706096,1 +100382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.547992318,1 +100383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.661097033,1 +100384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.345862585,1 +100386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.197952302,1 +100385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.96676917,1 +100389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.62184131,1 +100390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.274672353,1 +100387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.435785549,1 +100388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.18547391,1 +100391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.507017285,1 +100393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.559905223,1 +100392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.4188596,1 +100394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.265235734,1 +100395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.506587458,1 +100396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.777535287,1 +100397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.806282674,1 +100398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.502731821,1 +100399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.960146929,1 +100400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.738481825,1 +100401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,1.419396914,1 +100403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.776975651,1 +100402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.490698206,1 +100404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.073816398,1 +100407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.255698158,1 +100406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.704810623,1 +100405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.844653967,1 +100408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.492953486,1 +100411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.188301382,1 +100410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.117121509,1 +100409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.841755526,1 +100412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.952258917,1 +100413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.904611515,1 +100414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.858232945,1 +100415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,8.225792729,1 +100416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.236634193,1 +100417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.47653029,1 +100418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.380861077,1 +100419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.096817528,1 +100420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.765578432,1 +100421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.433388138,1 +100422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.21856208,1 +100423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.606940317,1 +100424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.554188254,1 +100427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.846929904,1 +100425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.192423661,1 +100426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.501908012,1 +100428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.697025384,1 +100430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.635204057,1 +100431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.021759491,1 +100429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.038794311,1 +100433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.119832892,1 +100432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.191376527,1 +100434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.638820664,1 +100435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.347349912,1 +100437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.131305115,1 +100439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.50332101,1 +100436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.762089158,1 +100438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.202938458,1 +100440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.647449005,1 +100442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.622375868,1 +100441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.364033286,1 +100443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.680322124,1 +100447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.425071949,1 +100444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.244174501,1 +100446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.828754481,1 +100445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.206258251,1 +100448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.514451175,1 +100449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.165301247,1 +100450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.858142928,1 +100451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.155581811,1 +100452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.858683815,1 +100453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.836751378,1 +100455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.507419937,1 +100456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.332300045,1 +100457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.753996499,1 +100458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.584028641,1 +100459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.349420607,1 +100454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.019401276,1 +100463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.45926717,1 +100461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.097742795,1 +100460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.715457946,1 +100462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.529142271,1 +100464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.185743713,1 +100465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.48553852,1 +100467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.913123861,1 +100468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.987364471,1 +100466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.497208415,1 +100469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.002335354,1 +100470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.918567223,1 +100471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.884987734,1 +100472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.311836423,1 +100473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.679725067,1 +100474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.680235607,1 +100476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.704701868,1 +100475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.968810315,1 +100477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.190591723,1 +100478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.680519721,1 +100480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.868251946,1 +100482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.141275591,1 +100479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.990200226,1 +100481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.041129199,1 +100484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.626945836,1 +100485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.756195508,1 +100483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.027618097,1 +100486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.873487011,1 +100487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,9.002525237,1 +100488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.209482069,1 +100489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.863124699,1 +100491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.2479372,1 +100490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.490589161,1 +100492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.745534008,1 +100495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.527099,1 +100493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.647156263,1 +100496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.224684127,1 +100494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.974759759,1 +100498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.397674525,1 +100497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.587813104,1 +100500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.223939675,1 +100499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.24691129,1 +100502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.701597323,1 +100503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.28826213,1 +100501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.28605904,1 +100504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.852834741,1 +100505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.097372552,1 +100506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.893770509,1 +100507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.20692905,1 +100508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.318632483,1 +100509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.938089044,1 +100512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.426617134,1 +100513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,1.65714216,1 +100511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.406743062,1 +100510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.597501639,1 +100516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.216576957,1 +100517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.918175067,1 +100514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.215214347,1 +100518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.150856526,1 +100515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.728887709,1 +100519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.258353608,1 +100520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.870499367,1 +100523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,1.954874158,1 +100524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.489111932,1 +100522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.489866028,1 +100521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.664397295,1 +100525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.207925562,1 +100527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.395819422,1 +100526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.869383497,1 +100528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.355487279,1 +100530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.098401169,1 +100531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.83918039,1 +100529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.669726806,1 +100533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.981562948,1 +100532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.068799167,1 +100535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.274043221,1 +100534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.383035862,1 +100537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.752501167,1 +100536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.999748513,1 +100538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.943121221,1 +100541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.301782129,1 +100540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.237291836,1 +100539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.120571617,1 +100542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.533414897,1 +100543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.989102977,1 +100544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.217786324,1 +100545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.621911444,1 +100546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.81552899,1 +100547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.573999928,1 +100549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.958090081,1 +100548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.355575626,1 +100552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.185583913,1 +100550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.024478147,1 +100553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.062219158,1 +100551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.227184951,1 +100555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.480700054,1 +100554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.887027023,1 +100558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.914794265,1 +100557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.722582214,1 +100556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.924577666,1 +100559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.030406662,1 +100560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.24455127,1 +100561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.970844878,1 +100562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.53315707,1 +100563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.425258757,1 +100564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.077739732,1 +100567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.71781924,1 +100565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.022260457,1 +100566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.456408037,1 +100569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.565602671,1 +100570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.155231437,1 +100571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.675582302,1 +100568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.078431866,1 +100574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.660181908,1 +100575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.440562028,1 +100573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.880009018,1 +100572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.268262991,1 +100577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.695513938,1 +100578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.130289846,1 +100576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.880505148,1 +100579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.855197794,1 +100580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.096656345,1 +100581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.380639853,1 +100582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.923621304,1 +100583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.080291084,1 +100584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.283858777,1 +100585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.044922963,1 +100587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.980908308,1 +100586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.830459915,1 +100589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.210764394,1 +100590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.573276615,1 +100591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.241695507,1 +100588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.725273499,1 +100594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.425645953,1 +100595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.965678829,1 +100592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.075177478,1 +100593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.872731505,1 +100597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.806136722,1 +100598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.881392787,1 +100599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.628279908,1 +100596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.534091741,1 +100600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.582264771,1 +100601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.567162127,1 +100602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.731589761,1 +100604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.787518133,1 +100603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.865821017,1 +100605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.10595394,1 +100606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.534808127,1 +100608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.817263158,1 +100609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.742946926,1 +100611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.921392787,1 +100607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.532934102,1 +100610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.132289464,1 +100614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.658812,1 +100615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.827524295,1 +100612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.463014013,1 +100613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.042960242,1 +100616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.392107728,1 +100617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.545035095,1 +100618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.281391339,1 +100619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.285452781,1 +100620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.421434542,1 +100621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.73666968,1 +100622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.621688913,1 +100623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.873947036,1 +100625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.867551337,1 +100626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.344525859,1 +100624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.785656002,1 +100627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.240393583,1 +100630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.881673243,1 +100629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.619087554,1 +100628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.412828074,1 +100632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.103132269,1 +100631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.118036967,1 +100633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.093236881,1 +100635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.062284574,1 +100634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.748587731,1 +100636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.419569133,1 +100637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.971194758,1 +100639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.169163391,1 +100638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.210302844,1 +100640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.983442727,1 +100641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.441884057,1 +100643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.384275053,1 +100645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.03848929,1 +100644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.290661558,1 +100642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.564721611,1 +100647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.359268906,1 +100649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.655260761,1 +100646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.906065068,1 +100648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.179835374,1 +100650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.470600956,1 +100651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.277739953,1 +100652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.907050692,1 +100653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.855833568,1 +100654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.653610389,1 +100655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.025349643,1 +100656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.822881148,1 +100657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.731893985,1 +100658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.493139673,1 +100659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.889373188,1 +100660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.895493189,1 +100663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.54934382,1 +100664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.627647509,1 +100661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.935229342,1 +100662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.732899352,1 +100667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.383043028,1 +100668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.320632116,1 +100666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.257154851,1 +100665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.372669376,1 +100670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.376147564,1 +100669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.929354963,1 +100671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.764051435,1 +100672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.519802765,1 +100673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.243546209,1 +100674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.893652962,1 +100675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.030121716,1 +100676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.128387295,1 +100677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.557307192,1 +100678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.830603641,1 +100679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.450028351,1 +100680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.234888851,1 +100682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.947850684,1 +100683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.924834009,1 +100684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.074596971,1 +100681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.138139873,1 +100688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.275170117,1 +100685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.530301636,1 +100686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.602157587,1 +100689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.059505682,1 +100687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.464510424,1 +100690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.65804663,1 +100691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.223489906,1 +100692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.490795539,1 +100693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.696019132,1 +100695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.196134865,1 +100696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.798498432,1 +100694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.49550806,1 +100697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.417102067,1 +100698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.077162045,1 +100699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.441306058,1 +100700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.363498495,1 +100702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.288545798,1 +100703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.398883336,1 +100701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.974217101,1 +100705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.26680156,1 +100704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.775910432,1 +100706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.011750191,1 +100707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.51003974,1 +100708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.232870544,1 +100710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.751800525,1 +100709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.007355461,1 +100711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.807397553,1 +100712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.406372113,1 +100713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.909287352,1 +100714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.536162887,1 +100715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.418009345,1 +100716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.354169062,1 +100717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.481991844,1 +100719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.662914018,1 +100718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.798063406,1 +100720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.179236302,1 +100722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.210255419,1 +100721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.880607155,1 +100723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.304115164,1 +100724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.659112566,1 +100725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,1.406461398,1 +100726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.224919604,1 +100727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.95612936,1 +100728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.329290673,1 +100729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.672737941,1 +100730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.350613345,1 +100731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.162251839,1 +100732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.470322226,1 +100733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.623155987,1 +100734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.27222784,1 +100736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.588880334,1 +100737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.74936459,1 +100738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.373215843,1 +100735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.617335718,1 +100740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.067088869,1 +100739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.49327303,1 +100741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.657458881,1 +100742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.627045703,1 +100744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.057792152,1 +100743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.96051546,1 +100745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.285846331,1 +100746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.424818614,1 +100747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.348007349,1 +100748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.975454441,1 +100749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,8.48140811,1 +100750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.344146859,1 +100751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.963317984,1 +100753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.439165695,1 +100752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.593447782,1 +100754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.480029196,1 +100756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.909518801,1 +100755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.769583108,1 +100757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.117924964,1 +100758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.68751787,1 +100759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.044753515,1 +100760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.531954069,1 +100761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.153431188,1 +100762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.482548095,1 +100763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.284647054,1 +100764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.995356644,1 +100765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.660099795,1 +100767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.01593654,1 +100768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.643994089,1 +100769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.849864503,1 +100766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.416993692,1 +100770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.241180982,1 +100771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.578943187,1 +100772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.315219635,1 +100773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.920958837,1 +100777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.053021852,1 +100774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.635272299,1 +100776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.401083614,1 +100775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.598506744,1 +100779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.964966776,1 +100780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.052156575,1 +100781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.806621648,1 +100782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.385056446,1 +100778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.517278545,1 +100783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.705630034,1 +100784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.498824819,1 +100787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.062380936,1 +100785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.254289334,1 +100786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.679738958,1 +100790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.584713638,1 +100789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.163791585,1 +100788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.430733639,1 +100791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.536318285,1 +100793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.256028319,1 +100795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.616519743,1 +100792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.214671957,1 +100796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.303861863,1 +100794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.999177775,1 +100798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.043655425,1 +100797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.701105089,1 +100799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.331109676,1 +100800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.766491267,1 +100801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.771294956,1 +100802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.623645048,1 +100804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.53560858,1 +100803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.127782139,1 +100805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.763416773,1 +100806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.46920372,1 +100808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.499738497,1 +100807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.335373211,1 +100809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.27105953,1 +100810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.96086963,1 +100811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.025774986,1 +100812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.129793681,1 +100815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.306599245,1 +100814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.546003456,1 +100816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.350714076,1 +100813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.577496645,1 +100817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.665775538,1 +100818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.747795047,1 +100819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.359843156,1 +100820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.889768467,1 +100821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.391209289,1 +100822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.109800782,1 +100823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.712771885,1 +100824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.113401247,1 +100825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.773429007,1 +100826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.492376082,1 +100827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.430800923,1 +100828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.453193199,1 +100830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.611521603,1 +100829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.214355629,1 +100831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.152485496,1 +100834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,8.251811037,1 +100832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.440278974,1 +100833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.835244405,1 +100836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.380283465,1 +100835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.640370898,1 +100837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.125684363,1 +100838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.741776824,1 +100839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.504336719,1 +100840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.728830172,1 +100841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.378326098,1 +100842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.154217942,1 +100844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.954570802,1 +100843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.796633749,1 +100845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.217628797,1 +100846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.085463791,1 +100847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.018962724,1 +100848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.194863479,1 +100851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.263153312,1 +100850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.500134702,1 +100849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.684811017,1 +100852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.944275569,1 +100854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.184683463,1 +100853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.597246853,1 +100855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.879370391,1 +100856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.67398811,1 +100857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.422726598,1 +100858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.630448363,1 +100860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.300768599,1 +100859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.295603892,1 +100861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.510325059,1 +100862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.649889483,1 +100863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.105371571,1 +100865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.062673502,1 +100864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.180290698,1 +100869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.282440939,1 +100867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.45772308,1 +100866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.99963789,1 +100868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.744880169,1 +100871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.156243176,1 +100872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.87903617,1 +100873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.305623939,1 +100874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.118907803,1 +100870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.514492467,1 +100875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.902342023,1 +100876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.663897221,1 +100877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.863015083,1 +100879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.797201745,1 +100878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.643077604,1 +100880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.181206409,1 +100881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.03241028,1 +100882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.605035132,1 +100884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.231569545,1 +100883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.27656136,1 +100885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.932391425,1 +100887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.029142249,1 +100888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.929719762,1 +100886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.628272458,1 +100889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.988587608,1 +100891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.044706609,1 +100892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.527298018,1 +100893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.148335289,1 +100890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.267261848,1 +100894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.779525329,1 +100895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.434346697,1 +100896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,7.188163231,1 +100898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.233426716,1 +100897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.281351118,1 +100899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.45734826,1 +100900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,9.41837371,1 +100902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,8.162966634,1 +100901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.004464087,1 +100904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.611123539,1 +100903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.465510381,1 +100905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.51858999,1 +100907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.355834929,1 +100906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.480681038,1 +100909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.878558087,1 +100908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.438313888,1 +100911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.31836567,1 +100910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.472299447,1 +100914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.889559668,1 +100913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.401206218,1 +100915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.775981978,1 +100916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.646137781,1 +100918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.6503768,1 +100917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.271240845,1 +100912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.340323752,1 +100920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.775835537,1 +100921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.622790956,1 +100919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.093920771,1 +100923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.168838637,1 +100924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.347906963,1 +100922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.236201487,1 +100925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.646055124,1 +100926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.746504524,1 +100927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.95156539,1 +100929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.643415784,1 +100928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.868241111,1 +100930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.054060285,1 +100932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.548748689,1 +100933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.913353323,1 +100934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.973541488,1 +100936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.470586371,1 +100931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.347913716,1 +100938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.430037854,1 +100935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.34335268,1 +100937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.414827458,1 +100939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.848175698,1 +100941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.382675143,1 +100942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.92705667,1 +100943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.704687187,1 +100940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.466657293,1 +100944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.384067581,1 +100945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.003080696,1 +100946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.675635746,1 +100947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.534584963,1 +100948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.166609891,1 +100949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.091173339,1 +100951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.466091543,1 +100952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.552192224,1 +100953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.00440768,1 +100954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.738648631,1 +100950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.767797191,1 +100957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.789100941,1 +100956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.216736449,1 +100955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.053322318,1 +100958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.593292329,1 +100960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.533004139,1 +100961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.263358318,1 +100962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.410362321,1 +100959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.967543765,1 +100963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,1.543823522,1 +100964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.779538114,1 +100965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.539526235,1 +100966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.58018523,1 +100967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.375077354,1 +100968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.647009143,1 +100970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.227568517,1 +100971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.700908344,1 +100972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.092413177,1 +100973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.828615099,1 +100969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.473778909,1 +100977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.800904428,1 +100974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.816783575,1 +100975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.979770895,1 +100978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,8.09376362,1 +100979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,2.978779199,1 +100976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.723187605,1 +100980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.934029563,1 +100983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.111071878,1 +100981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.283720866,1 +100982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.615028076,1 +100984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.261611564,1 +100985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.073137807,1 +100987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.096569545,1 +100988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.926938318,1 +100989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.470089094,1 +100990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.045159937,1 +100991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.308697973,1 +100986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.091865517,1 +100992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.019096789,1 +100995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.42561486,1 +100993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.971364802,1 +100994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.320853148,1 +100997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,6.131959148,1 +100996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.74269791,1 +100998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,5.790491131,1 +100999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,4.306125179,1 +101000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,1,1,3.046038983,1 +110002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.906530363,1 +110001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.748072366,1 +110003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.285364056,1 +110004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.373237176,1 +110007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.541529499,1 +110005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.406225994,1 +110006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.921178556,1 +110008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.681473893,1 +110009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.157389269,1 +110010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.87619557,1 +110011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.396499315,1 +110012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.498651677,1 +110014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.414091444,1 +110013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.362961792,1 +110015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.430999327,1 +110016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.711765235,1 +110017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.157091986,1 +110019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.679434541,1 +110018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.496296892,1 +110020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.094747478,1 +110021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.81950975,1 +110024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.30994457,1 +110022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.001013951,1 +110023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.985759943,1 +110025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.377187146,1 +110027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.866524215,1 +110026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.519498368,1 +110029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.88931711,1 +110031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.170512709,1 +110030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.65720619,1 +110032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.609876634,1 +110028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.941515349,1 +110034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.984663204,1 +110033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.824991309,1 +110035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,8.251952219,1 +110038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.633876048,1 +110036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.636436824,1 +110037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.352752469,1 +110039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.798433449,1 +110041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.99419902,1 +110043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.466297693,1 +110042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.223726848,1 +110040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.313347353,1 +110046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.597543167,1 +110045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.422765829,1 +110047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.555106124,1 +110049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.1661382,1 +110048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.435684616,1 +110044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,1.822476039,1 +110050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.599547489,1 +110052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.654642787,1 +110051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.337760225,1 +110054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.234485988,1 +110053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.054810029,1 +110055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.784030685,1 +110056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.198699981,1 +110057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.290626848,1 +110058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.97730175,1 +110059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.091564135,1 +110060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.312541966,1 +110063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.425036235,1 +110064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.257376117,1 +110062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.853432171,1 +110061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.886958341,1 +110065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.443920881,1 +110066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.963300412,1 +110068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.135728014,1 +110067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.937120089,1 +110069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.906820611,1 +110070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.853372551,1 +110071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.32200618,1 +110072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.479605973,1 +110074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.920147586,1 +110073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.554769819,1 +110075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.812332199,1 +110076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.336688325,1 +110077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.029218699,1 +110078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.400981377,1 +110080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.479672614,1 +110081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.350449172,1 +110082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.52653421,1 +110079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.678928654,1 +110083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.480417584,1 +110085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.026283869,1 +110086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.239570925,1 +110084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.130147501,1 +110088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.400632846,1 +110089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.951494526,1 +110090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.726300254,1 +110087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.311401813,1 +110093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.087274192,1 +110091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.092249349,1 +110092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.502715125,1 +110094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.768788444,1 +110095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.637333832,1 +110096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.667097661,1 +110099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.174657672,1 +110098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.36650873,1 +110097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.605102942,1 +110100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.052682448,1 +110102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.867901749,1 +110101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.220639549,1 +110103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.429644488,1 +110104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.144625977,1 +110106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.897380711,1 +110107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.246719888,1 +110105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.809565335,1 +110108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.112374436,1 +110109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.948322874,1 +110110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.289836605,1 +110111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.67639088,1 +110112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.611604409,1 +110115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.329041607,1 +110114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.288290281,1 +110113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.608962302,1 +110116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.651997556,1 +110118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.614003302,1 +110119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.205578852,1 +110120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.277322796,1 +110117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.737303147,1 +110122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.693498828,1 +110121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.39093885,1 +110123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.840687022,1 +110125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.538133664,1 +110124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.960718156,1 +110126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.790219004,1 +110127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.751179683,1 +110128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.628820502,1 +110130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.055031468,1 +110131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.625658291,1 +110129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.858864134,1 +110135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.880483501,1 +110132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.168570361,1 +110134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.301041812,1 +110136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.00583176,1 +110137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.364925858,1 +110133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.390585939,1 +110138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.410032012,1 +110139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.794812387,1 +110141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.084357659,1 +110142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.104829921,1 +110143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.523668457,1 +110140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.185483886,1 +110144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.050473291,1 +110145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.786005183,1 +110146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.781541737,1 +110147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.978830991,1 +110148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.658981481,1 +110149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.148684467,1 +110150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.303667997,1 +110151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.403427532,1 +110153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.045000949,1 +110154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.89726354,1 +110155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.769625212,1 +110156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.66269641,1 +110152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.120732201,1 +110157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.002028653,1 +110159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.468597018,1 +110161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.532052413,1 +110160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.552886763,1 +110158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.084965237,1 +110164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.103143826,1 +110162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.305831846,1 +110165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.415488086,1 +110163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.078326117,1 +110166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.292443847,1 +110167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.619716629,1 +110168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.260165406,1 +110169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.205299035,1 +110171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.689642449,1 +110172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.404298102,1 +110173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.689873159,1 +110174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.647537713,1 +110175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.374936253,1 +110176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.08460092,1 +110170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.080851584,1 +110177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.237163916,1 +110178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.741934298,1 +110180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.229610519,1 +110179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.241403412,1 +110181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.113616366,1 +110183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.837910306,1 +110182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.037976045,1 +110184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.682840736,1 +110185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.92985041,1 +110188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.124194533,1 +110187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.267016662,1 +110186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.267076137,1 +110189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.449221568,1 +110190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.573310607,1 +110191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.140280051,1 +110193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,8.042147292,1 +110194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.89812885,1 +110192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.646533649,1 +110195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.884798317,1 +110196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.679013497,1 +110197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.198941786,1 +110198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.788581472,1 +110199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.39454686,1 +110200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.729188809,1 +110201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.582591293,1 +110202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.466490365,1 +110203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.553530908,1 +110204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.741288892,1 +110205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.334823866,1 +110207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.282102961,1 +110208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.157564392,1 +110209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.472510061,1 +110206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.671780767,1 +110210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.010863482,1 +110211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.316872382,1 +110212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.299218114,1 +110213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.73934344,1 +110214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.489367009,1 +110216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.574835923,1 +110215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.289186221,1 +110217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.027091621,1 +110218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.392500848,1 +110219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.735900947,1 +110220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.876935748,1 +110221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.676063461,1 +110222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.081419173,1 +110223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.633226066,1 +110224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.648844593,1 +110226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,8.10149119,1 +110227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.411408311,1 +110225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.149344578,1 +110229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.184348101,1 +110230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.537203141,1 +110232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.002793699,1 +110228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.299893504,1 +110233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.944132529,1 +110231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.860553486,1 +110234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.930072074,1 +110236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.055934587,1 +110235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.766141046,1 +110237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.632855139,1 +110240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.589255542,1 +110239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.744298711,1 +110238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.204174028,1 +110242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.882298357,1 +110241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.938990608,1 +110244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,1.444978829,1 +110243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.89862417,1 +110246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.454648011,1 +110247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.111737243,1 +110248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.148109509,1 +110245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.810114726,1 +110250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.371978845,1 +110249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.170891437,1 +110251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.705879666,1 +110254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.951510722,1 +110252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.469796241,1 +110253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.208200453,1 +110255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.392758974,1 +110257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.526505582,1 +110256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.11737024,1 +110259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.914715971,1 +110258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.946262256,1 +110260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.390576373,1 +110262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.717071015,1 +110263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,1.997014031,1 +110265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.757581391,1 +110261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.946187288,1 +110266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.918345002,1 +110264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.505370227,1 +110268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.595584482,1 +110269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.520348269,1 +110267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.094333506,1 +110270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.352378129,1 +110273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.607978052,1 +110271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.411624375,1 +110272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.124630378,1 +110274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.61614823,1 +110275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.74343798,1 +110276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.127289822,1 +110277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.936452778,1 +110278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.546482251,1 +110279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,8.858091777,1 +110281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.907915124,1 +110282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.943358454,1 +110283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.733758001,1 +110280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.58756254,1 +110284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.150504436,1 +110286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.315703876,1 +110285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.650523153,1 +110288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.559337891,1 +110287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.497695763,1 +110289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.430431799,1 +110290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.712557163,1 +110291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.408904852,1 +110292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.079669799,1 +110293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.813285483,1 +110294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.667946419,1 +110295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.341024362,1 +110296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.395033813,1 +110297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.000314953,1 +110299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.219925297,1 +110298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.771469314,1 +110301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.425671785,1 +110303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.63044014,1 +110300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.359164316,1 +110304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.460808625,1 +110302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.353687293,1 +110305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.360892481,1 +110306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.955477193,1 +110307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.533359187,1 +110309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.733670647,1 +110310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,1.690608664,1 +110308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.268262436,1 +110311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.993724762,1 +110312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.756361925,1 +110315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.435592548,1 +110314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.176784926,1 +110316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.565717714,1 +110313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.919857052,1 +110317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.432644772,1 +110318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.535861976,1 +110319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.099861871,1 +110320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.351438955,1 +110321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.011577182,1 +110322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.135085596,1 +110323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.669443454,1 +110324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.261448582,1 +110326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.074657032,1 +110327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.818844446,1 +110325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.101447502,1 +110328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.360352827,1 +110330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.029449953,1 +110329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.491402963,1 +110331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.086757867,1 +110333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.34527698,1 +110334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.385169347,1 +110335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.365378253,1 +110336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.878892422,1 +110337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.554603187,1 +110338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.970861911,1 +110332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.231665703,1 +110339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.699564463,1 +110340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.971616573,1 +110342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.208317638,1 +110343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.929212935,1 +110344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.662747953,1 +110341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.589417511,1 +110345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.495957578,1 +110348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.429447919,1 +110346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.500227569,1 +110349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.85045035,1 +110347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.254316192,1 +110350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.238918904,1 +110351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.847828586,1 +110353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.153763236,1 +110354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.742171342,1 +110355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.609002207,1 +110352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.106734575,1 +110356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.684003392,1 +110358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.803220005,1 +110360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.121245574,1 +110359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.201884582,1 +110361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.197037401,1 +110357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.11287258,1 +110362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.605675488,1 +110363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.026491854,1 +110365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.63784383,1 +110364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.887356051,1 +110366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.018793406,1 +110367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.873846208,1 +110368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.693967696,1 +110369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.456066841,1 +110370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.069867061,1 +110372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.13609055,1 +110373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.496899007,1 +110374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.487329665,1 +110375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.139710095,1 +110376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.565611727,1 +110371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.940493151,1 +110377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.892472639,1 +110378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.033788632,1 +110380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.139485436,1 +110379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.86144072,1 +110381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.778864985,1 +110382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.02019431,1 +110384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.258716868,1 +110383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.107644417,1 +110385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.956476557,1 +110386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.371133298,1 +110387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.174397489,1 +110388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.943831086,1 +110389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.754715688,1 +110390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.248287452,1 +110391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.222280612,1 +110393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.247965473,1 +110395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.960315614,1 +110394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.168816208,1 +110392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.502443432,1 +110396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.690232576,1 +110398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.405253426,1 +110397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.971970873,1 +110399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,8.054829989,1 +110401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.956739901,1 +110400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.689727211,1 +110402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.338954485,1 +110403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.367003185,1 +110404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.231232878,1 +110405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.785412303,1 +110406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.245363716,1 +110408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.337320563,1 +110409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.402111744,1 +110410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.860861819,1 +110407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.610282488,1 +110411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.995293345,1 +110413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.262312873,1 +110414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.076729931,1 +110415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.946131184,1 +110412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.434645103,1 +110416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.83822329,1 +110417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.147534331,1 +110418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.166074361,1 +110420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.28092646,1 +110419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.853737262,1 +110421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.585868938,1 +110423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.457475285,1 +110422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.664532472,1 +110424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.308858236,1 +110426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.238085816,1 +110427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.51887434,1 +110428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.613583917,1 +110425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.556487913,1 +110429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.171467776,1 +110430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.978780127,1 +110432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.024194344,1 +110433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.315452907,1 +110434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.213084579,1 +110431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.593838072,1 +110436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.525399489,1 +110435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.903287962,1 +110438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.31760265,1 +110437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.551265812,1 +110439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,1.898435715,1 +110440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.1369388,1 +110441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.070579289,1 +110442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.425308589,1 +110443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.716811211,1 +110445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.23527384,1 +110446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.618310713,1 +110447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.225866888,1 +110444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.087634604,1 +110449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.601178911,1 +110450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.779585831,1 +110451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.849385648,1 +110452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.502013417,1 +110448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.588794397,1 +110454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.574593603,1 +110453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.101932143,1 +110456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.709307397,1 +110455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.455836779,1 +110458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.210121527,1 +110457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.087946071,1 +110459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.324072477,1 +110460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.813465059,1 +110461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.629890625,1 +110463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.766440854,1 +110464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.035776751,1 +110465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.258770686,1 +110467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.190768954,1 +110462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.873246951,1 +110466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.593623805,1 +110468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.166889129,1 +110470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.567121326,1 +110469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.405942902,1 +110471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.320542914,1 +110472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.56946718,1 +110473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.587040684,1 +110474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.519478413,1 +110475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.657738815,1 +110476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.819830238,1 +110478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.611492387,1 +110479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.224204733,1 +110480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.559714145,1 +110481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.136590615,1 +110477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.317526999,1 +110483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.810851804,1 +110482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.816172897,1 +110484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.10566995,1 +110485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.54346122,1 +110486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.838973216,1 +110487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.82621159,1 +110488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.34700654,1 +110489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.019600705,1 +110490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.942886339,1 +110491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.689605586,1 +110492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.494682855,1 +110493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.010032775,1 +110494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.933355949,1 +110495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.681113332,1 +110496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.470717254,1 +110498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.111639441,1 +110499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.871291638,1 +110500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.367148823,1 +110501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.316219892,1 +110497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.072261821,1 +110502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.463692883,1 +110503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.323089386,1 +110504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.988869204,1 +110505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.636361148,1 +110506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.113911218,1 +110507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.917934562,1 +110508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.404024287,1 +110509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.250162415,1 +110510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.424371934,1 +110511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.780775263,1 +110512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.28967661,1 +110513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.113641511,1 +110514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.03319331,1 +110515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.904421488,1 +110519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.799075971,1 +110517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.730631444,1 +110516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.937012814,1 +110518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.736712447,1 +110520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.403749009,1 +110521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.577199371,1 +110522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.934443287,1 +110524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.079056107,1 +110525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.622801014,1 +110523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,9.100468136,1 +110526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.432118087,1 +110527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.387777439,1 +110528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.559528017,1 +110529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,8.106527074,1 +110530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.243195678,1 +110532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.503032982,1 +110533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.914179029,1 +110531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.453873534,1 +110535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.392955748,1 +110536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.634437943,1 +110537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.238160404,1 +110534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.830184555,1 +110538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.201292685,1 +110540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.110162509,1 +110542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.664232961,1 +110541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.875551609,1 +110539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.619299163,1 +110543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.632334936,1 +110544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.862806746,1 +110546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.020921484,1 +110545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.830453231,1 +110547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.635679037,1 +110549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.103662136,1 +110548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.346143279,1 +110551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.605284581,1 +110550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.138057155,1 +110552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.783685471,1 +110553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.110753941,1 +110554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.293237598,1 +110557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.87317699,1 +110558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.834804407,1 +110556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.923945428,1 +110555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.790374186,1 +110559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.816475028,1 +110560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.43878345,1 +110561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.923981464,1 +110562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.176101488,1 +110563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.598895709,1 +110565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.740908211,1 +110564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.430420137,1 +110566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.520290634,1 +110567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.734578524,1 +110568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.034042048,1 +110569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.097066387,1 +110571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.054219735,1 +110573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.860031485,1 +110570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.11152134,1 +110572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.150728889,1 +110574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.585399635,1 +110575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.756356331,1 +110576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.281397687,1 +110577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.632086345,1 +110578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.45413263,1 +110579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.185150171,1 +110580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.46373789,1 +110581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.174588711,1 +110582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.931060522,1 +110583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.98396156,1 +110585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.077923855,1 +110584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.419505935,1 +110586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.52076824,1 +110587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.264878109,1 +110588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.601161759,1 +110590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.97492464,1 +110591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.716700235,1 +110589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.490843628,1 +110593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.305746103,1 +110592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.860850333,1 +110595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.689883702,1 +110596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.309386246,1 +110597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.646407497,1 +110598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.390782477,1 +110594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.287865217,1 +110599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.783625782,1 +110600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.919836593,1 +110601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.431871507,1 +110604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.365345696,1 +110603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.277860331,1 +110602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.938193921,1 +110607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.443384435,1 +110605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.809512865,1 +110606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.7311493,1 +110608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.220911976,1 +110610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.242027255,1 +110611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.300236262,1 +110609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.559500846,1 +110612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.2716878,1 +110614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.877730047,1 +110615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.094260903,1 +110613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.650995405,1 +110616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.729777548,1 +110617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.36325834,1 +110619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.38979265,1 +110618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.35721315,1 +110621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.842774939,1 +110623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.174751587,1 +110622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.122835108,1 +110620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.317559397,1 +110627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.558178373,1 +110626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.327373816,1 +110625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.390298975,1 +110624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.167214885,1 +110628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.729517516,1 +110630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.967883513,1 +110631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.61886506,1 +110629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.888056172,1 +110632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.296621642,1 +110633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.43227179,1 +110634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.433765999,1 +110635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.111938969,1 +110637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.602439681,1 +110638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.902364168,1 +110639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.139706253,1 +110636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,1.511179537,1 +110640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.635706139,1 +110641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.56230528,1 +110644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.3178219,1 +110643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.382112308,1 +110645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.34864511,1 +110642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.077639078,1 +110647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.893294011,1 +110646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.956967563,1 +110648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.554168981,1 +110649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.401706419,1 +110650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.475467925,1 +110651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.567921852,1 +110652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.433875963,1 +110653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.036052097,1 +110655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.351457306,1 +110654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.880377501,1 +110657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.496403663,1 +110659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.118192022,1 +110656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.915614713,1 +110658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.251244349,1 +110660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.559828764,1 +110661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.665896176,1 +110662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.162127634,1 +110665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.592582434,1 +110666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.194013859,1 +110664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.564504042,1 +110663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.628937869,1 +110668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.514536887,1 +110669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.233782305,1 +110670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.964459028,1 +110667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.336446904,1 +110671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.094323801,1 +110672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.715175029,1 +110673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.483576383,1 +110677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.699906821,1 +110675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.140270014,1 +110676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.289626504,1 +110674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.355222686,1 +110678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.329014706,1 +110679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.575496919,1 +110680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.764046022,1 +110682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.721610248,1 +110683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.023435253,1 +110681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.407803479,1 +110684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.198422656,1 +110686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.469731266,1 +110687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.010585795,1 +110685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.37833563,1 +110688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.319977669,1 +110690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.95595964,1 +110691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.224725882,1 +110689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.594934046,1 +110693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.216019507,1 +110694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.505536607,1 +110692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.718055435,1 +110695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.055535482,1 +110697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.677258373,1 +110699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.434719402,1 +110698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.052794513,1 +110696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.66392633,1 +110701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.643084231,1 +110700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.157594523,1 +110702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.146899746,1 +110703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.99379736,1 +110705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.794498732,1 +110704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.211640449,1 +110707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.010139397,1 +110708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.468219268,1 +110709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.195414025,1 +110710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.594657981,1 +110711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.00926955,1 +110706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.697819627,1 +110712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.637584268,1 +110714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.760600795,1 +110713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.913216146,1 +110715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.016458606,1 +110716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.395686061,1 +110718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.933470616,1 +110717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.859284032,1 +110719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.355624427,1 +110720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.562895145,1 +110721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.097494899,1 +110722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.869927878,1 +110723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.426029411,1 +110725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.21470565,1 +110726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.678536528,1 +110724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.474290143,1 +110729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.713441863,1 +110730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.921960735,1 +110727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.73136072,1 +110728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.302177216,1 +110732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.371979866,1 +110733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.578168873,1 +110731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.266164848,1 +110734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.492631027,1 +110735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.570319634,1 +110737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.765299412,1 +110736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.933488724,1 +110738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.206901564,1 +110740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.197990745,1 +110741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.540602081,1 +110742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.460058192,1 +110743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.614817233,1 +110739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.019314618,1 +110745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.153060624,1 +110746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.648380247,1 +110747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.796602711,1 +110744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.978551648,1 +110748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.938379572,1 +110750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.5847284,1 +110749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.493227969,1 +110751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.686047611,1 +110752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.884459633,1 +110753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.778303838,1 +110754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.793348518,1 +110755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.632140893,1 +110756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.588609313,1 +110758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.887083733,1 +110757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.067921779,1 +110759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.899850587,1 +110760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.496105156,1 +110761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.460481355,1 +110764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.890460307,1 +110762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.856698301,1 +110765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.594789297,1 +110763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.350239958,1 +110766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.83091878,1 +110767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.509205926,1 +110768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.48046579,1 +110769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.991232893,1 +110770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.042151548,1 +110771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.923091929,1 +110772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.844908872,1 +110773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.702916143,1 +110775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.869400811,1 +110774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.493839694,1 +110776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.982035054,1 +110777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.301506335,1 +110779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.062633195,1 +110780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.826443928,1 +110778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.725465698,1 +110782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.186366712,1 +110781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,8.249531336,1 +110783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.54830191,1 +110784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.800220212,1 +110785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.408395143,1 +110787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.605131441,1 +110788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.600192701,1 +110786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.586528891,1 +110789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.384912844,1 +110791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.8922507,1 +110790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.572835949,1 +110792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.576641594,1 +110793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.940289455,1 +110794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.978380658,1 +110795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.187579235,1 +110797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.524548638,1 +110796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.890345515,1 +110798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.810839521,1 +110799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.55723271,1 +110800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.39918979,1 +110802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.866420071,1 +110803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.776028882,1 +110801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.60833002,1 +110804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.903259033,1 +110805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.657873931,1 +110806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.72187444,1 +110808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.674107357,1 +110807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.582753728,1 +110809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.70415896,1 +110810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.396507937,1 +110812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.999795957,1 +110811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.783151996,1 +110813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.747278851,1 +110816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.348942663,1 +110817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.328613242,1 +110814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.796474498,1 +110818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.101938566,1 +110815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.415319934,1 +110819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.033062266,1 +110820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.685658824,1 +110821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.452315437,1 +110824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.553883491,1 +110822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.405144519,1 +110823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.36585556,1 +110825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.880229568,1 +110826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.11083041,1 +110827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.074727369,1 +110828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.675389167,1 +110829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.992304142,1 +110831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.345850797,1 +110832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.126958864,1 +110833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.296288504,1 +110830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.623967393,1 +110835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.302198688,1 +110836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,8.460385844,1 +110837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.902046688,1 +110838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.772927102,1 +110834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.405886578,1 +110840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.443302557,1 +110839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.425785033,1 +110842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.527811641,1 +110841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.026304641,1 +110843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.572485495,1 +110844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.134818211,1 +110845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.901903304,1 +110846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.374163355,1 +110848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.343385388,1 +110849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.966024687,1 +110850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.308145969,1 +110851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.024744286,1 +110847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.75781332,1 +110853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.214522926,1 +110852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.112118219,1 +110855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.933109448,1 +110854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.332491267,1 +110856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.052726892,1 +110858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.092770292,1 +110857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.653273426,1 +110859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.244737362,1 +110860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.045553983,1 +110861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.133681517,1 +110862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.477476855,1 +110863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.817834618,1 +110864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.1060094,1 +110865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.574926778,1 +110866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.015232512,1 +110867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.650002979,1 +110868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.642562597,1 +110871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.221156338,1 +110870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.661336215,1 +110872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.19553522,1 +110869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.507309198,1 +110873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.238343933,1 +110874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.227064539,1 +110875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.205566665,1 +110876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.563959411,1 +110877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.320746069,1 +110878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.652155962,1 +110879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.456282705,1 +110880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.958885091,1 +110881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.190694134,1 +110882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.43824678,1 +110883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.031334875,1 +110884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.725370572,1 +110885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.666144394,1 +110886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.975411438,1 +110887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.557115718,1 +110888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.533949706,1 +110889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.138320512,1 +110890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.02419522,1 +110891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.647172344,1 +110893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.387230084,1 +110892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.94463444,1 +110894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.745666578,1 +110895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.987220319,1 +110896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.683079392,1 +110897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.011986122,1 +110898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.456218162,1 +110899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.369837379,1 +110900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.615306257,1 +110901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.153845012,1 +110902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.963452583,1 +110903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.244893683,1 +110904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.748102052,1 +110907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.568832556,1 +110906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.10709049,1 +110908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.283272155,1 +110905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.126341882,1 +110909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.571241992,1 +110911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.133011152,1 +110912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.311112426,1 +110913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.404061987,1 +110910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.247733098,1 +110915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.723317305,1 +110914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.874443489,1 +110916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.577804913,1 +110918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.207692309,1 +110917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.881743009,1 +110919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.092335887,1 +110920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.98453558,1 +110922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.05155359,1 +110921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.962842258,1 +110923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.800014642,1 +110924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.363355152,1 +110925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.889711477,1 +110927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.108669026,1 +110926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.041149012,1 +110928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.564706027,1 +110929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.601228851,1 +110930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.983312289,1 +110933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.751298246,1 +110931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.929455091,1 +110932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.982898458,1 +110934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.259729803,1 +110935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.917390441,1 +110936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.648124283,1 +110937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.372748108,1 +110938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.802637489,1 +110940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.257048674,1 +110939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.248251999,1 +110942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.734326591,1 +110941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.758292704,1 +110944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.438012297,1 +110943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.940851227,1 +110945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.356798164,1 +110946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.196480079,1 +110947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.484230586,1 +110948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.219029407,1 +110949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.220505948,1 +110951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.583910452,1 +110950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.261893769,1 +110952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.632923977,1 +110953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.697199348,1 +110957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.32252579,1 +110956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.599159013,1 +110954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.526592061,1 +110955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.2120143,1 +110958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.057839093,1 +110959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.313852472,1 +110960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.777394205,1 +110963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.593658333,1 +110964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.958461857,1 +110961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.883298029,1 +110962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.753673123,1 +110965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.346997151,1 +110967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.050332901,1 +110966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.128097618,1 +110968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.07374742,1 +110970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.712261431,1 +110972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,7.839241069,1 +110969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.172120812,1 +110971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.380468852,1 +110974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.513903583,1 +110975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.471313045,1 +110976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.434367174,1 +110973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.714782978,1 +110978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.591070944,1 +110979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.852712691,1 +110977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.263454022,1 +110980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.621511865,1 +110982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.92625228,1 +110981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.701340057,1 +110983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.513012969,1 +110984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.681619603,1 +110987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.074169703,1 +110985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.789031879,1 +110986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.128723828,1 +110989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.892734875,1 +110990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.653183257,1 +110991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.43318172,1 +110992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.754321255,1 +110988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.007534686,1 +110993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,6.125918553,1 +110994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.26453716,1 +110996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.915529702,1 +110995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.845652978,1 +110997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,5.037679751,1 +110998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,4.534327096,1 +110999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,2.455780739,1 +111000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,1,1,3.759909247,1 +120002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.403235833,1 +120003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.20525282,1 +120004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.981551258,1 +120001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.181072359,1 +120005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.975683015,1 +120006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.429047446,1 +120008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.429786976,1 +120010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.01489064,1 +120009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.963369635,1 +120007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.397482906,1 +120011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.709823972,1 +120012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.275114138,1 +120014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.661820847,1 +120015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.486116886,1 +120013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.908167659,1 +120018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.963294269,1 +120016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.872029046,1 +120017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.933437427,1 +120019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.69554208,1 +120021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.923088621,1 +120022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.441128877,1 +120023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.720659996,1 +120024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.972499357,1 +120020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.371548738,1 +120026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.67566053,1 +120028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.195982028,1 +120027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.930847499,1 +120025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.774046133,1 +120030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.017165884,1 +120029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.297337373,1 +120031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.37983107,1 +120032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.993518777,1 +120033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,1.953066473,1 +120034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.620687627,1 +120035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.091965708,1 +120036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.013776561,1 +120038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.500524618,1 +120039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.593132028,1 +120040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.093354785,1 +120037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.032957203,1 +120042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.702890957,1 +120041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.109896416,1 +120044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.596499264,1 +120043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.058823323,1 +120045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.986169672,1 +120047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.107408724,1 +120046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.447693474,1 +120048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.528330239,1 +120049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.536719188,1 +120050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.067267464,1 +120051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.200902115,1 +120052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.782090634,1 +120053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.809065727,1 +120056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.170924697,1 +120057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.444646681,1 +120055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.944606766,1 +120054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.606916688,1 +120060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.978469636,1 +120059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.361513461,1 +120058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.478547098,1 +120061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.359657912,1 +120063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.432235699,1 +120062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.008768208,1 +120065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.610361457,1 +120064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.229486947,1 +120066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.476983236,1 +120067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.061030492,1 +120068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.562280015,1 +120069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.124477885,1 +120071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.351172674,1 +120070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.72872113,1 +120072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.48145924,1 +120073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.800683439,1 +120074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.022572803,1 +120075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.959806032,1 +120077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.975749181,1 +120078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.730942038,1 +120079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.139679483,1 +120076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.615465968,1 +120081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.69632899,1 +120080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.809043858,1 +120082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.441370417,1 +120083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.129863129,1 +120084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.748122228,1 +120086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.579814765,1 +120085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.504236908,1 +120087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.811932501,1 +120089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.330962054,1 +120088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.642157983,1 +120090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.782824794,1 +120091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.943169334,1 +120093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.773121656,1 +120092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.824917033,1 +120096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.290983543,1 +120095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.342600072,1 +120097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.452509502,1 +120094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.949059378,1 +120098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.713323177,1 +120100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.057282122,1 +120099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.623690814,1 +120102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.978085837,1 +120103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.519665019,1 +120101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.509456966,1 +120104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.067175698,1 +120105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.864901016,1 +120107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.1172048,1 +120106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.382261885,1 +120108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.562609307,1 +120109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.346219222,1 +120111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.779393447,1 +120110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.430355664,1 +120113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.161816628,1 +120114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.527823643,1 +120115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.63809416,1 +120112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.114194263,1 +120116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.081247748,1 +120117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.08335124,1 +120119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.922819677,1 +120118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.825637115,1 +120120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.394494717,1 +120121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.199762557,1 +120122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.245360167,1 +120123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.614824624,1 +120124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.535971978,1 +120125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.683713707,1 +120126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.823305409,1 +120127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.886400452,1 +120128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.351901999,1 +120129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.75959194,1 +120132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.513518815,1 +120131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.819879061,1 +120133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.922384009,1 +120134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.633074914,1 +120130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.676854596,1 +120136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.518771806,1 +120135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.020702287,1 +120138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.147065946,1 +120137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.032254613,1 +120139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.393711614,1 +120140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.974920293,1 +120142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.98972658,1 +120143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.105695584,1 +120141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.063519815,1 +120144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.922000208,1 +120145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.281709291,1 +120146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.301316376,1 +120147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.575523675,1 +120148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.85685857,1 +120149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.234851,1 +120150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.820790721,1 +120152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.435153669,1 +120151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.816280604,1 +120154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.866632414,1 +120153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.654125066,1 +120156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.653699373,1 +120155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.441701146,1 +120158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.136827184,1 +120157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.381978736,1 +120159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.854393411,1 +120160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.306170127,1 +120161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.835449874,1 +120162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.280745639,1 +120163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.969920762,1 +120164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.135406612,1 +120165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.107221724,1 +120166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.36648729,1 +120167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.240044095,1 +120168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.907684526,1 +120169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.255012165,1 +120171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.431935476,1 +120173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,8.239230812,1 +120170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,8.28366447,1 +120172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.958630612,1 +120174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.448510201,1 +120175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.800127378,1 +120176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.116941623,1 +120178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.799482249,1 +120177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.449125945,1 +120179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.485738561,1 +120180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.841507564,1 +120182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.593898079,1 +120184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.815914439,1 +120183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.672729511,1 +120181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.295372394,1 +120187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.477965518,1 +120188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.165834968,1 +120185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.438503385,1 +120186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.679815362,1 +120191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.213073979,1 +120189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.30030275,1 +120190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.63187194,1 +120193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.308669884,1 +120194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.260342866,1 +120192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.723100979,1 +120195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.966562891,1 +120196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.853197085,1 +120197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.80723641,1 +120199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.318848792,1 +120200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.830193698,1 +120198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.050334254,1 +120201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.271911882,1 +120202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.254744055,1 +120205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.252002211,1 +120206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.425524366,1 +120203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.22334433,1 +120207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.679369803,1 +120204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.600308966,1 +120209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.983186052,1 +120208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.372037503,1 +120210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,8.57761431,1 +120212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.809353979,1 +120213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.790101809,1 +120211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.414226466,1 +120215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.158355394,1 +120214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.869212806,1 +120216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.242464402,1 +120219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.22982922,1 +120217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.682131338,1 +120220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.580425372,1 +120221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.398573405,1 +120222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.84188955,1 +120218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.057396076,1 +120223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.482433718,1 +120224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.807440374,1 +120226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.293936611,1 +120225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,8.481798528,1 +120227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.373161167,1 +120229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.805344832,1 +120228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.577111609,1 +120231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.038974331,1 +120230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.001784099,1 +120232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.657548554,1 +120233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.661775982,1 +120235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.147558724,1 +120234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.595838988,1 +120236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.269501814,1 +120237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.693460491,1 +120238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.338578924,1 +120239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.143529312,1 +120241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.710981736,1 +120240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.614370906,1 +120243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.043308629,1 +120242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.850502929,1 +120244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.89055377,1 +120246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.731418104,1 +120245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.620713404,1 +120247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.697549136,1 +120248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.493986129,1 +120249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.373651763,1 +120250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.292026695,1 +120251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.139105033,1 +120252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.527796998,1 +120253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.531512663,1 +120254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.648896031,1 +120256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.990384231,1 +120257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.326827756,1 +120255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.248133639,1 +120260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.15585889,1 +120258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.576702287,1 +120259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.177205691,1 +120261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.94361914,1 +120262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.963425493,1 +120263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.6491099,1 +120264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.353140284,1 +120266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.820003448,1 +120267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.576591569,1 +120268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.493584158,1 +120270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.225142256,1 +120269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.001390089,1 +120271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.500807482,1 +120265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.241538959,1 +120272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,1.865790922,1 +120273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.509173572,1 +120274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.225733142,1 +120275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.48138602,1 +120276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.437200185,1 +120278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,8.055871945,1 +120277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.616236908,1 +120279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.507445423,1 +120280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.235717972,1 +120281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.696165791,1 +120282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.316498689,1 +120284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.370465102,1 +120285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.278861757,1 +120286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.681446446,1 +120287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.748640008,1 +120288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.720870687,1 +120289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.396368958,1 +120283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.17509634,1 +120290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.85154335,1 +120291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.266218144,1 +120292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.115727114,1 +120293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.575508464,1 +120294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.565183013,1 +120296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.180139697,1 +120295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.812059794,1 +120297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.243707116,1 +120298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.966097359,1 +120300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.715205018,1 +120299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.819433976,1 +120301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.953267727,1 +120302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.6543347,1 +120303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.741090373,1 +120304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.508825781,1 +120306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.815092397,1 +120307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.750700093,1 +120308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.794737615,1 +120305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.276348437,1 +120310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.762276562,1 +120309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.627412758,1 +120311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.242030889,1 +120312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.90078166,1 +120313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.94462272,1 +120314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.819982318,1 +120315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.802625032,1 +120317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.84417603,1 +120318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.320935948,1 +120316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.721286359,1 +120319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.228598674,1 +120320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.993438628,1 +120322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.690871277,1 +120321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.714852157,1 +120323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.096207233,1 +120324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.733989158,1 +120326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.5280704,1 +120325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,1.878626428,1 +120327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.231843958,1 +120329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.93295871,1 +120328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.355559865,1 +120331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.427850914,1 +120330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,8.144192262,1 +120332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.24092575,1 +120333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.468262298,1 +120334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.442376888,1 +120335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.7912687,1 +120336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.259869446,1 +120337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.601864924,1 +120338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.725673253,1 +120340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.381293917,1 +120341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.941998307,1 +120339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.018840172,1 +120342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.506658507,1 +120343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.796700917,1 +120344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.147245637,1 +120345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.876961199,1 +120347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.534723334,1 +120348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.110205863,1 +120346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.575277397,1 +120349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.166213988,1 +120350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.128809248,1 +120352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.241436729,1 +120353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.567696791,1 +120351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.695880097,1 +120354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.399739831,1 +120355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.179311569,1 +120357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.779847136,1 +120358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.466154117,1 +120360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.757117593,1 +120361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.498617388,1 +120356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.813349511,1 +120362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.898065097,1 +120363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.402803163,1 +120364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.287165882,1 +120359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.695824256,1 +120368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.456013219,1 +120367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.352064164,1 +120365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.508152757,1 +120366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.551880196,1 +120369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.739726788,1 +120370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.475347225,1 +120371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.204129551,1 +120372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.639592647,1 +120373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.194704621,1 +120375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.828095028,1 +120377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.653471162,1 +120374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.802984543,1 +120378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.774049757,1 +120376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.958819271,1 +120379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.700957706,1 +120381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.007087102,1 +120380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.588423867,1 +120382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.628207467,1 +120383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.536404577,1 +120384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.638193929,1 +120385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.084380345,1 +120386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.827854328,1 +120387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.449201589,1 +120388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.653646073,1 +120390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.00214731,1 +120389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.87299931,1 +120391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.872941152,1 +120392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.968366961,1 +120395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.144289925,1 +120396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.193307615,1 +120393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.564215457,1 +120394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.930735463,1 +120397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.023719061,1 +120399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.180251756,1 +120398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.701469826,1 +120400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.851948363,1 +120402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.462188578,1 +120401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.423983875,1 +120403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.366025174,1 +120404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.222430777,1 +120405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.314286914,1 +120406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.777792987,1 +120407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.456503458,1 +120410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.87844232,1 +120408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.466367252,1 +120411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.601699102,1 +120412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.299859536,1 +120409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.819817757,1 +120414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.189959065,1 +120416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.633938929,1 +120413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.682865307,1 +120415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.019792236,1 +120417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.794042165,1 +120418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.811005896,1 +120419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.739562456,1 +120420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.277252076,1 +120421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.051138443,1 +120422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.585395687,1 +120423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.692546735,1 +120424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.723463898,1 +120425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.398254624,1 +120428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.061773725,1 +120426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.775343851,1 +120429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.829540702,1 +120427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.246011667,1 +120430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.063702194,1 +120431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.83705679,1 +120432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.335549601,1 +120433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.237000175,1 +120434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.001727796,1 +120435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.980951327,1 +120436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.010650067,1 +120439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.721487176,1 +120438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.036280407,1 +120437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.401573838,1 +120440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.770541952,1 +120442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.173654164,1 +120441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.187956947,1 +120443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.93186723,1 +120444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.394382856,1 +120445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.912047864,1 +120446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.557896266,1 +120449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.752524388,1 +120448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.499327428,1 +120450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.932283523,1 +120451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.518557731,1 +120447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.039199632,1 +120452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.324570099,1 +120453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.256280222,1 +120454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.976097374,1 +120456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.887676645,1 +120457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,9.777904914,1 +120455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.435565187,1 +120459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.970670375,1 +120458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.180202648,1 +120461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.368366893,1 +120460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.085313785,1 +120462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.366330405,1 +120463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.886713631,1 +120464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.77269719,1 +120465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.004834229,1 +120466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.362878493,1 +120467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.090354731,1 +120470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.354473423,1 +120469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.681819262,1 +120471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.729578625,1 +120472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.971206896,1 +120473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.262695691,1 +120474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.275967381,1 +120468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.219919371,1 +120476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.21884031,1 +120475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.954147722,1 +120477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.337653855,1 +120478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,8.451916606,1 +120479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.52745953,1 +120480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.697222357,1 +120481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.116458265,1 +120482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.224995682,1 +120483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.314807159,1 +120484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.887537019,1 +120485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.209564519,1 +120487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.046907886,1 +120486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.631950881,1 +120488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.196803969,1 +120489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.157389474,1 +120490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.900465241,1 +120492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.849064221,1 +120493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.430794699,1 +120491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.914522359,1 +120494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.006499621,1 +120495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.178642516,1 +120496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.492415404,1 +120497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.129967834,1 +120498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.799656344,1 +120499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.198463216,1 +120500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.44462438,1 +120502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.333915725,1 +120503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.370859712,1 +120501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.05460156,1 +120504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.973281685,1 +120505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.917393562,1 +120506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.922351971,1 +120508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.318101401,1 +120509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.747655716,1 +120510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.601262704,1 +120507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.486353025,1 +120511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.544489804,1 +120512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.592197148,1 +120513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.322877375,1 +120515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.813661736,1 +120516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.375717363,1 +120514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.479688261,1 +120518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.884730107,1 +120517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.925752091,1 +120519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.602263455,1 +120521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.583417981,1 +120522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.917522004,1 +120520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.59483907,1 +120523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.45503203,1 +120524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.248580478,1 +120525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.303555095,1 +120526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.579409739,1 +120527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.790190944,1 +120528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.07329467,1 +120529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.154840638,1 +120531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.288620219,1 +120532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.729028847,1 +120533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.437163185,1 +120530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.562546945,1 +120535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.759400415,1 +120534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.558347989,1 +120536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.043565952,1 +120537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.064718838,1 +120539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.209331128,1 +120538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.119483833,1 +120540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.650544921,1 +120543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.395017653,1 +120542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.132107039,1 +120541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.101841746,1 +120544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.721755695,1 +120545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.87804151,1 +120546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.768118846,1 +120548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.637470612,1 +120547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.507419126,1 +120549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.266287431,1 +120551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.590030416,1 +120550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.778884703,1 +120552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.872918515,1 +120553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.178422593,1 +120555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.83688652,1 +120554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.882046059,1 +120557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.219812248,1 +120556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.132698929,1 +120558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.51549739,1 +120559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.131502945,1 +120560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.296926508,1 +120562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.991439759,1 +120561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.365021399,1 +120563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.370476382,1 +120564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.563986751,1 +120566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.453164403,1 +120567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.214283173,1 +120565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.53146105,1 +120568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.983097976,1 +120569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.314095549,1 +120570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,8.395867056,1 +120571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.534811247,1 +120572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.222747007,1 +120574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.920116258,1 +120573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.533263106,1 +120576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,8.09919678,1 +120577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.778558616,1 +120575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.456312503,1 +120579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.601781445,1 +120580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,8.447105611,1 +120578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.360718001,1 +120582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.203542053,1 +120581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.029359919,1 +120584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.652949861,1 +120583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.912518312,1 +120586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.93636191,1 +120585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.261231265,1 +120587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.30003821,1 +120588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.906927474,1 +120590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.037928431,1 +120592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.084439411,1 +120589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.235812476,1 +120591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.066832366,1 +120593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.434252135,1 +120594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.299070101,1 +120597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.848985694,1 +120598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.031507508,1 +120595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.742943287,1 +120596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.277507976,1 +120599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.901603733,1 +120600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.935775239,1 +120601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.42402639,1 +120602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,8.86433017,1 +120603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.18275692,1 +120604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.127465252,1 +120605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.404934553,1 +120606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.892108373,1 +120607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.507577587,1 +120608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.747381419,1 +120611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.879164911,1 +120609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.915786224,1 +120612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.682662033,1 +120610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.08680554,1 +120614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.71927299,1 +120615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.100335748,1 +120613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.63235394,1 +120616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.541811464,1 +120617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.786325504,1 +120618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.600151431,1 +120619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.913106745,1 +120620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.30399705,1 +120621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.957785627,1 +120622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.402182624,1 +120623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.074416505,1 +120624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.539139315,1 +120626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.045877795,1 +120627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.825689061,1 +120625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.527062911,1 +120629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.616768161,1 +120628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.775076809,1 +120630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.114705095,1 +120631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.83592315,1 +120632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.978344709,1 +120633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.637879344,1 +120634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.260729884,1 +120635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.637527205,1 +120636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.119137159,1 +120637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.168676279,1 +120638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.870776211,1 +120639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.234494283,1 +120640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.676944193,1 +120642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.385303593,1 +120641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.599033616,1 +120644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.070464323,1 +120645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.880571557,1 +120646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.354573058,1 +120643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.336019589,1 +120648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.027622956,1 +120649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.893969726,1 +120647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.079032447,1 +120650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.392566984,1 +120651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.831859243,1 +120652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.913197012,1 +120654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.257066436,1 +120656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.067766952,1 +120655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.901091707,1 +120653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.997305535,1 +120657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.348730992,1 +120659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.408986259,1 +120658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.626185904,1 +120660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.565415874,1 +120664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.573018222,1 +120661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.360860335,1 +120663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.267643605,1 +120662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.290307079,1 +120666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.252966093,1 +120668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.585009192,1 +120667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.172339986,1 +120665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.677655134,1 +120669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.837069582,1 +120670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.076180303,1 +120671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.128460295,1 +120673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.286708351,1 +120674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.415380951,1 +120672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.360808711,1 +120675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.670579808,1 +120676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.066364381,1 +120677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.710059302,1 +120678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.759859288,1 +120679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.924212249,1 +120681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.159250598,1 +120680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.99432902,1 +120682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.787766984,1 +120683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.909581378,1 +120685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.254485109,1 +120684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.665892777,1 +120686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.831031189,1 +120687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.222248389,1 +120688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.119046966,1 +120689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.599271138,1 +120693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.724989031,1 +120692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.235721101,1 +120690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.993927876,1 +120691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.831802769,1 +120695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.620259575,1 +120694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.431565931,1 +120697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.400144919,1 +120696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.520861416,1 +120698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.682371883,1 +120699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.968963031,1 +120701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.647438794,1 +120700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.734293177,1 +120702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,1.895094782,1 +120703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.986017433,1 +120704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.3577612,1 +120705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.904546272,1 +120706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.215733732,1 +120707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.327649203,1 +120708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.435039708,1 +120711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.808224066,1 +120710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.155423482,1 +120712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.495511418,1 +120713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.158398242,1 +120714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.841350153,1 +120715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.634209362,1 +120709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.962577996,1 +120716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.367817731,1 +120717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.153220047,1 +120718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.437676144,1 +120720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.641065485,1 +120719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.646047556,1 +120721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.476837252,1 +120722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.076802404,1 +120724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.031549452,1 +120725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.01420811,1 +120723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.932417708,1 +120726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.953330627,1 +120727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.630946929,1 +120728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.281168274,1 +120729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.450883925,1 +120730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.790006275,1 +120732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.990108573,1 +120733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.966168679,1 +120734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.748718483,1 +120735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.346880595,1 +120731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.923333785,1 +120736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.39076973,1 +120737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.54765154,1 +120739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.391430901,1 +120738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.444443972,1 +120740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.00495733,1 +120741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.307522239,1 +120743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.933874955,1 +120744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.51340129,1 +120742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.314078676,1 +120745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.848970764,1 +120746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.161592766,1 +120747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.049251443,1 +120749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.756780317,1 +120748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.735003476,1 +120750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.110786688,1 +120751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.001715697,1 +120752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.528004955,1 +120754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.112574935,1 +120753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,1.85506182,1 +120756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.561585898,1 +120757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.68634602,1 +120758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.944877413,1 +120759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.41024789,1 +120755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.270776884,1 +120760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.169199519,1 +120761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.444421751,1 +120762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.040643331,1 +120764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.031371973,1 +120763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.131969388,1 +120766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.286942661,1 +120765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.832139055,1 +120768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.393345722,1 +120767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.460892058,1 +120769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.566850453,1 +120770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.901791351,1 +120771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.958045564,1 +120772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.111887023,1 +120773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.062217727,1 +120776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.272555844,1 +120774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.654489866,1 +120777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.529409629,1 +120775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.465302422,1 +120778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.22211343,1 +120779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.92526985,1 +120780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.82073311,1 +120782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.123941739,1 +120781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.490822721,1 +120783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.545607653,1 +120785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.81502741,1 +120784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.486750574,1 +120786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.040394964,1 +120788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.67561172,1 +120789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.168595541,1 +120790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.044380805,1 +120791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.694933791,1 +120792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.420179462,1 +120787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.811877362,1 +120793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.617816177,1 +120795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,8.665074182,1 +120796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.758991499,1 +120797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.24307686,1 +120794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.64528444,1 +120799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.799060881,1 +120798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.646780573,1 +120800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.122325116,1 +120801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.675231325,1 +120802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.519235754,1 +120803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.701970064,1 +120804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.179766557,1 +120805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.449656534,1 +120807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.09626366,1 +120808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.251607343,1 +120809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.513325111,1 +120810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.160558788,1 +120811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.393414868,1 +120806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.92325093,1 +120812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.292918726,1 +120813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.472579251,1 +120815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.819355248,1 +120816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.046705157,1 +120814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.240902793,1 +120817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.54253966,1 +120818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,8.24666094,1 +120819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.008169419,1 +120820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.209284783,1 +120821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.159341381,1 +120822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.81573144,1 +120824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.358174087,1 +120823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.310647121,1 +120825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.684379239,1 +120827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,1.73662291,1 +120828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.397452682,1 +120829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.840893709,1 +120826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.256255245,1 +120831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.251808083,1 +120830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.329297943,1 +120833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.529565538,1 +120834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.058879648,1 +120835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.797162667,1 +120832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.972222162,1 +120836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,10.49186626,1 +120837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,8.126896125,1 +120838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.827673433,1 +120839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.853060311,1 +120840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.561339082,1 +120841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.497021235,1 +120842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.971098685,1 +120843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.762156009,1 +120845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.259272544,1 +120844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.685979867,1 +120846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.657280621,1 +120847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.568996629,1 +120848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.972490634,1 +120850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.515048123,1 +120849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.122730243,1 +120851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,1.856465966,1 +120852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.959984277,1 +120853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.503145957,1 +120854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.61518719,1 +120856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.687875725,1 +120857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.401528798,1 +120859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.36241538,1 +120858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.114861991,1 +120855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.031018072,1 +120860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.223533805,1 +120863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.532368616,1 +120861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.721720534,1 +120862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.207257659,1 +120864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.91622948,1 +120865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.326809656,1 +120866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.086184816,1 +120867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.899229732,1 +120868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.14735774,1 +120869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.861188032,1 +120870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.930088355,1 +120871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.659845708,1 +120872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.243522537,1 +120874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.612724057,1 +120876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.500319001,1 +120875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.020482379,1 +120877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.654817762,1 +120873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.467344323,1 +120878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.663411029,1 +120881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.037289759,1 +120880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.440357757,1 +120882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.287987489,1 +120883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.557037411,1 +120884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.177732533,1 +120879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.297172606,1 +120885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.40566849,1 +120886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.298943561,1 +120887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.723342374,1 +120889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.927747304,1 +120888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.753342827,1 +120890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.469873432,1 +120891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.876147122,1 +120893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.478508205,1 +120892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.371696539,1 +120894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.823913683,1 +120895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.43064094,1 +120896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.61318781,1 +120898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.282173992,1 +120897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.484276657,1 +120899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.388878929,1 +120901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.616318207,1 +120902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.997115938,1 +120903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.205625389,1 +120904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.743368684,1 +120905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.832127977,1 +120906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.361229767,1 +120900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.510879278,1 +120908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.94558964,1 +120910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.170740824,1 +120907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,8.25903435,1 +120909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.872323689,1 +120911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.429072456,1 +120913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.283393711,1 +120914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.892826078,1 +120912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.709755484,1 +120915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.989816402,1 +120916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.659783098,1 +120917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.402796794,1 +120918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.374385807,1 +120919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.976433539,1 +120920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.425316053,1 +120921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.437709853,1 +120923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.125139968,1 +120922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.802015558,1 +120924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.422702278,1 +120925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.859843794,1 +120926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.60366862,1 +120928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.633881741,1 +120929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.194871649,1 +120927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.447327065,1 +120930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.128900567,1 +120931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.95571772,1 +120932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.037750628,1 +120933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.642958737,1 +120935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.248465807,1 +120934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.177661779,1 +120936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.364193543,1 +120937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.486761231,1 +120939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.115236954,1 +120938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.616681051,1 +120940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.317963104,1 +120942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.466374875,1 +120943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.437009079,1 +120944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.064403134,1 +120941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.302363851,1 +120945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.188939416,1 +120946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.036081838,1 +120947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,7.047063261,1 +120949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.345566304,1 +120950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.46165021,1 +120951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.753787782,1 +120953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.79465119,1 +120952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.806460494,1 +120948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.578861152,1 +120954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.205830682,1 +120957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.312521728,1 +120956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.031642408,1 +120958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.142432392,1 +120955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.207596171,1 +120960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.751317136,1 +120961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.182639193,1 +120962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.834183522,1 +120959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.672767575,1 +120964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.986267507,1 +120963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.232466525,1 +120965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.286226507,1 +120968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.176022743,1 +120967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.965725018,1 +120969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.655345463,1 +120966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.470840238,1 +120970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.927838162,1 +120971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.326791628,1 +120972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.300273488,1 +120973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.544551992,1 +120975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.532520786,1 +120974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.534830295,1 +120976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.128567654,1 +120978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.57946811,1 +120977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.793256516,1 +120979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.42787413,1 +120980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.684846402,1 +120981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.337972807,1 +120983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.711633915,1 +120984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.409995701,1 +120982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.535920932,1 +120985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.804707747,1 +120987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.107203078,1 +120986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.368499949,1 +120989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,5.488004322,1 +120988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.65323583,1 +120990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.751172021,1 +120991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.711053916,1 +120992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.919991369,1 +120994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.304064021,1 +120995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,2.815963632,1 +120993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.094686564,1 +120996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,4.495022798,1 +120998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.740302602,1 +120997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,8.906691129,1 +120999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,6.377675989,1 +121000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,1,1,3.22910808,1 +130002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.850737569,1 +130001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.828978085,1 +130003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.772862208,1 +130004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.972010994,1 +130006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.916735192,1 +130007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.662766529,1 +130008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.092797642,1 +130005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.775812644,1 +130009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.421484793,1 +130010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.690525719,1 +130011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.896110262,1 +130012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.540961855,1 +130014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.855592134,1 +130015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.908663617,1 +130016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.630240031,1 +130017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.302627182,1 +130018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.64536886,1 +130013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,8.157630134,1 +130019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.877309497,1 +130022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.027359222,1 +130021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.5786168,1 +130020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.440476386,1 +130024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.055703273,1 +130025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,9.143701431,1 +130026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.64029229,1 +130027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.869244629,1 +130023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.386279737,1 +130028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.312554186,1 +130029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.547635913,1 +130032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.097253572,1 +130033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.636674434,1 +130031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.519346432,1 +130030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.540508183,1 +130036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.397009954,1 +130037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.494682214,1 +130034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.149805643,1 +130035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.989937522,1 +130039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.588499495,1 +130041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.591405415,1 +130040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.439094084,1 +130042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.85674745,1 +130044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.823940209,1 +130043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.069637768,1 +130038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.752409104,1 +130045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.807527359,1 +130047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.95829847,1 +130046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.065219568,1 +130048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.765755293,1 +130051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.864071504,1 +130050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.981980921,1 +130049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.945075669,1 +130052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.217478733,1 +130054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.30090022,1 +130053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.744066622,1 +130055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.157202432,1 +130056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.073721361,1 +130058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.98201323,1 +130057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.669733279,1 +130059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.530344589,1 +130061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.271957582,1 +130062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.744103692,1 +130063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.219712207,1 +130065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.102235879,1 +130060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.938523007,1 +130066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.930940411,1 +130068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.603059873,1 +130067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,8.036301514,1 +130064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.777353598,1 +130069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.006756881,1 +130071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.68702996,1 +130072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.232639535,1 +130070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.804085976,1 +130073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.50980849,1 +130075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.806535181,1 +130074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.887922371,1 +130076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.848035395,1 +130079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.827650745,1 +130078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.136859267,1 +130077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.680267156,1 +130083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.162045765,1 +130080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.767304641,1 +130081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.659792499,1 +130082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.786098536,1 +130085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.682922951,1 +130086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.896898654,1 +130087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.279010894,1 +130084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.262166639,1 +130089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.857545651,1 +130088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.928644591,1 +130090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.088401296,1 +130091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.444007742,1 +130094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.537782403,1 +130092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.144518017,1 +130093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.573127891,1 +130097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,0.938279078,1 +130096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.999351472,1 +130095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.66147743,1 +130098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.1873073,1 +130099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.965323617,1 +130100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.453715379,1 +130101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.582370515,1 +130102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.561241548,1 +130104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.382688363,1 +130105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.782730099,1 +130106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.140606622,1 +130107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.039980027,1 +130103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.212965008,1 +130108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.661769048,1 +130110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.301627957,1 +130109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.172509117,1 +130112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.858749852,1 +130111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.382690209,1 +130113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.380749802,1 +130115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.486783534,1 +130116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.058710375,1 +130114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.151363243,1 +130118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.652635053,1 +130119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.531035282,1 +130120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.065970976,1 +130117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.17242066,1 +130122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.495987249,1 +130123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.092807449,1 +130124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.462716255,1 +130125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.852083698,1 +130121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.888761941,1 +130126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.966532992,1 +130127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.671609767,1 +130129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.229947779,1 +130128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.090526817,1 +130130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.647494549,1 +130131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.72675565,1 +130132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.608853265,1 +130133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.690673532,1 +130137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.583277829,1 +130136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.894848764,1 +130135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.277791938,1 +130134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.379373182,1 +130138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.141398251,1 +130139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.342996438,1 +130140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.183832256,1 +130141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.303761524,1 +130144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.363380623,1 +130142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.115030355,1 +130145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.904373075,1 +130143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.896283748,1 +130147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.3040157,1 +130148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.755124014,1 +130149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.274931189,1 +130150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.896689572,1 +130151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.52880606,1 +130146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.013972444,1 +130153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.808844666,1 +130154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.472001245,1 +130152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.844155658,1 +130155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.47658075,1 +130156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.289357351,1 +130158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.053741654,1 +130157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.311992062,1 +130159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.538228012,1 +130161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.249854748,1 +130160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.433925211,1 +130163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.344994577,1 +130165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.133588435,1 +130166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.041697544,1 +130162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.783434256,1 +130164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.526332549,1 +130167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.539860828,1 +130168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.611666232,1 +130170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.374340341,1 +130171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.358214861,1 +130169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.008988423,1 +130173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.306061523,1 +130172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.554281778,1 +130175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.234033361,1 +130174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.849639633,1 +130176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.020312824,1 +130177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.753044051,1 +130179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.070716737,1 +130178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.538630057,1 +130180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.854172587,1 +130181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.038479816,1 +130182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.760862412,1 +130185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.677345417,1 +130186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.020692223,1 +130184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.058941375,1 +130183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.363446721,1 +130189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.705911794,1 +130187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.620023338,1 +130190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.610116065,1 +130188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.880975318,1 +130191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.650353772,1 +130192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.227137371,1 +130194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.924801024,1 +130193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.564006089,1 +130195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.509768385,1 +130196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.422576441,1 +130197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.739915241,1 +130198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.297347668,1 +130200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.405600811,1 +130201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.196528661,1 +130199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.037380411,1 +130203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.382319309,1 +130204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.733487346,1 +130205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.21833337,1 +130202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.424067496,1 +130206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.875220768,1 +130208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.8850035,1 +130207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.86864078,1 +130210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.60943293,1 +130209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.166375624,1 +130212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.377696146,1 +130211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.547751482,1 +130213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.812717977,1 +130214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.294950801,1 +130216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.171138279,1 +130217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.497562992,1 +130218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.404700844,1 +130219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.707394384,1 +130215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.519749538,1 +130220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.93921084,1 +130222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.617207143,1 +130223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.052650693,1 +130221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.291409996,1 +130224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.25613133,1 +130225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.563351549,1 +130226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.641302599,1 +130227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.004823497,1 +130229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.693593568,1 +130230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.633709978,1 +130228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.840324906,1 +130231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.47698393,1 +130232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.511126484,1 +130233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.07413211,1 +130234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.5124228,1 +130235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.751555475,1 +130236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.292655694,1 +130238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.622519293,1 +130237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.244991061,1 +130240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.125207543,1 +130241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.360855319,1 +130242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.448922717,1 +130243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.58697252,1 +130244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.296035652,1 +130239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.510773732,1 +130245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.35676923,1 +130246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.669884769,1 +130247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.831474126,1 +130250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.353482105,1 +130249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.578567576,1 +130248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.040699087,1 +130251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.445644997,1 +130253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.636478317,1 +130254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.786926204,1 +130252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.825660058,1 +130256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.388857489,1 +130258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.517136378,1 +130257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,8.40150993,1 +130260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.560065977,1 +130259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.954325916,1 +130255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.198147025,1 +130261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.672215179,1 +130263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.045195738,1 +130262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.317013571,1 +130264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.720565753,1 +130268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.830285616,1 +130265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.834536981,1 +130266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.427943025,1 +130267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.747026071,1 +130269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.635785626,1 +130271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.641181787,1 +130272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.606409861,1 +130270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.274382367,1 +130274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.146804983,1 +130275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.615762781,1 +130273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.313772944,1 +130276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.487237998,1 +130277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.134203766,1 +130278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.762324117,1 +130279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.83489807,1 +130281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.088175171,1 +130282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.162171985,1 +130283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.376076378,1 +130284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.304081013,1 +130280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.929479704,1 +130285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.836997153,1 +130286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.063755645,1 +130287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.677453708,1 +130288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.452520774,1 +130289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.528720794,1 +130291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.890227182,1 +130293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.462314099,1 +130290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.831420286,1 +130292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.39458247,1 +130294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.026610888,1 +130295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.188630755,1 +130297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.14382456,1 +130296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.608772086,1 +130298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.398321594,1 +130299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.864517943,1 +130301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.159454949,1 +130302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.021364172,1 +130303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.34473666,1 +130304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.728708337,1 +130300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.085695616,1 +130306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.537337751,1 +130305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.464660371,1 +130307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.811014401,1 +130309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.277930604,1 +130310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.772024706,1 +130308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.507407043,1 +130312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.242637389,1 +130313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.983061605,1 +130311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.293893774,1 +130314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.186002735,1 +130316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.705621133,1 +130315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.878660815,1 +130317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.349569345,1 +130318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.103202981,1 +130319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.26048878,1 +130320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.752896331,1 +130321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.588180999,1 +130323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.282514952,1 +130324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.437970199,1 +130325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.674602926,1 +130326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.265616842,1 +130327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.771980291,1 +130322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.498557248,1 +130329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.419587264,1 +130328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.643410711,1 +130330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.33671365,1 +130331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.71701713,1 +130332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.864576182,1 +130334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.695740885,1 +130333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.446826108,1 +130335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.738769231,1 +130336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.961643134,1 +130337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.068801871,1 +130338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.334139923,1 +130339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.321788073,1 +130340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.882671596,1 +130341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.188799575,1 +130342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.182481393,1 +130344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.955596564,1 +130345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.280189521,1 +130346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.598009353,1 +130343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.807082932,1 +130348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.410144686,1 +130349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.220334263,1 +130347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.887328906,1 +130350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.809418916,1 +130351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.020260306,1 +130353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.999244242,1 +130352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.29916377,1 +130354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.783230829,1 +130356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,8.590502249,1 +130357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.644798185,1 +130355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.283240765,1 +130359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.595989052,1 +130361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.001153919,1 +130360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.440717994,1 +130358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,9.371603359,1 +130363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.783710558,1 +130365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.77930091,1 +130364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.416138934,1 +130362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.041087643,1 +130367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.140075016,1 +130368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.097600024,1 +130366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.532622886,1 +130369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.342675231,1 +130371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.336688619,1 +130370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.251504366,1 +130373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.959021839,1 +130372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.911525542,1 +130374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.114549424,1 +130376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.536322693,1 +130375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.1327949,1 +130377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.159169104,1 +130379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.794907626,1 +130380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.348579427,1 +130378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.541193423,1 +130382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.833886055,1 +130381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,8.523689932,1 +130383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.212878526,1 +130384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.872401056,1 +130385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.845697907,1 +130387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.178129071,1 +130388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.195287153,1 +130386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.775953426,1 +130389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.417655657,1 +130391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.903778283,1 +130392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.368413851,1 +130393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.717809932,1 +130390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.93681093,1 +130395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.499902882,1 +130397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.424818268,1 +130396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.472253166,1 +130394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.834582978,1 +130399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.852221564,1 +130398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.975737904,1 +130400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.593880187,1 +130401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.01558386,1 +130402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.256785719,1 +130404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.842398584,1 +130403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.693650764,1 +130405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.957040444,1 +130407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.668016942,1 +130408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.891831352,1 +130406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.554780757,1 +130409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.032592733,1 +130411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.350348718,1 +130412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.394596472,1 +130414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.495922376,1 +130410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.167351228,1 +130415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.888747859,1 +130413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.444182666,1 +130417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.529075324,1 +130419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.126700255,1 +130418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.152323698,1 +130420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.65523027,1 +130416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.714882294,1 +130421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.059416457,1 +130422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.270777821,1 +130423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.124608006,1 +130424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.326267136,1 +130425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.247650806,1 +130426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.542231902,1 +130428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.953378519,1 +130427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.631379851,1 +130430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.655885266,1 +130429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.637043462,1 +130431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.58111362,1 +130432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.357404852,1 +130434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.278567336,1 +130433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.149078937,1 +130436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.454052367,1 +130437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.129722464,1 +130435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.817247856,1 +130438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.373913247,1 +130441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.539472041,1 +130439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.700226242,1 +130440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.748268681,1 +130442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.610550578,1 +130443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.561330839,1 +130444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.61804845,1 +130445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.270109416,1 +130446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.418163937,1 +130447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.811637631,1 +130449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.208123724,1 +130448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.690815846,1 +130451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.227680668,1 +130450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.797069184,1 +130453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.786711081,1 +130452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.29611262,1 +130454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.140884643,1 +130455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.36469503,1 +130456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.718447765,1 +130457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.816541764,1 +130458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.082291605,1 +130459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.952712779,1 +130460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.600712727,1 +130462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.314443319,1 +130463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.413759306,1 +130461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.334019042,1 +130466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.698766587,1 +130467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.522374409,1 +130464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.900889564,1 +130465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.811609183,1 +130468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.91665576,1 +130470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.450454046,1 +130471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.617466326,1 +130469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.944864339,1 +130472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.849101537,1 +130473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.59399578,1 +130474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,8.161629356,1 +130476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.060205151,1 +130475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.324637572,1 +130477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.786811753,1 +130478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.162617924,1 +130479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.301192479,1 +130480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.561364291,1 +130481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.789888492,1 +130483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.864909622,1 +130482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.696367161,1 +130484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.186389736,1 +130485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.407990442,1 +130486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.805104508,1 +130487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.326467578,1 +130489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.032979676,1 +130490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,9.329631917,1 +130492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.521756193,1 +130491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.4298373,1 +130488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.601569965,1 +130493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.418313639,1 +130495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.431820432,1 +130494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.68014889,1 +130496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.913925379,1 +130497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.788342011,1 +130498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.646377979,1 +130500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.606770329,1 +130499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.863490498,1 +130501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.969738567,1 +130504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.848174054,1 +130503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.136050793,1 +130502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.1452695,1 +130505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.24751815,1 +130507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.440179229,1 +130508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.672474333,1 +130509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.849348207,1 +130510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.766128771,1 +130511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.115657192,1 +130506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.989010236,1 +130512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.998935256,1 +130514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.372808012,1 +130515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.988739497,1 +130513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.820391083,1 +130516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.307907757,1 +130517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.640229801,1 +130518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.262765256,1 +130519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.789781022,1 +130520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.5984883,1 +130521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.006519916,1 +130522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,8.935239399,1 +130523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.951743901,1 +130525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.773567018,1 +130524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.065772304,1 +130527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.496584625,1 +130528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.772885683,1 +130529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.968219154,1 +130526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.549904971,1 +130530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.086108224,1 +130531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.848280755,1 +130532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.961141646,1 +130533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.182908197,1 +130535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.22424144,1 +130534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.169413132,1 +130536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.585529357,1 +130539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.487063201,1 +130538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.592368115,1 +130537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.641003132,1 +130540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.595493674,1 +130541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.785957185,1 +130542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.642618543,1 +130543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.358581505,1 +130545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.055139997,1 +130546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.437358083,1 +130544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.055760603,1 +130547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.851430563,1 +130548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.275424702,1 +130549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.640839596,1 +130551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.382836412,1 +130552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.086246453,1 +130550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.245586843,1 +130553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.727894862,1 +130554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.638752689,1 +130555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.657728873,1 +130557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.062834804,1 +130556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.561644567,1 +130558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.307685986,1 +130559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.555295063,1 +130560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.119304029,1 +130561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.631029967,1 +130564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.541356875,1 +130563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.965897963,1 +130562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.32505074,1 +130567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.771653786,1 +130566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.87924448,1 +130565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.533995088,1 +130569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.018584177,1 +130568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,8.031144268,1 +130570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.225487646,1 +130572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.942346401,1 +130573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.937409275,1 +130571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.561004795,1 +130577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.218631675,1 +130574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.048975581,1 +130576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.250148218,1 +130575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.816486411,1 +130579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.830973574,1 +130578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.633718498,1 +130581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.985663621,1 +130582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.999474896,1 +130583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.114465925,1 +130580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.703098837,1 +130584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.028327214,1 +130585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.221072775,1 +130588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.072578888,1 +130587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.216416751,1 +130586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.662319802,1 +130591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.925309337,1 +130590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.402115262,1 +130592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.622266188,1 +130589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.691847635,1 +130594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.474599329,1 +130595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.445007982,1 +130596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.365060993,1 +130593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.814017314,1 +130597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.068704775,1 +130598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.614461368,1 +130599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.70039528,1 +130601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.563168914,1 +130603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.163087631,1 +130600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.382031432,1 +130605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.848197467,1 +130602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.378428776,1 +130604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.127337499,1 +130608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,8.397519138,1 +130606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.55383078,1 +130607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.094658805,1 +130609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.377282494,1 +130610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,1.783278881,1 +130611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.480161194,1 +130612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.14848103,1 +130613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.997742659,1 +130614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.349275877,1 +130616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.836558221,1 +130617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.173640838,1 +130615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.094753585,1 +130619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.468787175,1 +130620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.975296727,1 +130618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.951541786,1 +130621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.663914731,1 +130624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.001763487,1 +130622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.267815297,1 +130623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.010960044,1 +130625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.916523719,1 +130626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.478930755,1 +130627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.318880786,1 +130628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.858857396,1 +130629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.864430988,1 +130630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.97042473,1 +130631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.402337285,1 +130632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.439562038,1 +130634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.579766974,1 +130635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.024338348,1 +130636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.660434832,1 +130633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.440584626,1 +130638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.712184001,1 +130639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.425794691,1 +130640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.56660796,1 +130637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.637893376,1 +130641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.030089352,1 +130642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.704147189,1 +130643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.847356974,1 +130644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.110562007,1 +130645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.948568425,1 +130646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.05980508,1 +130647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.142834881,1 +130648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.434579593,1 +130649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.168649997,1 +130650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.25555965,1 +130652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.007618623,1 +130653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.423504775,1 +130654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.293078403,1 +130651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,8.18690855,1 +130657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.170798447,1 +130658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.097048354,1 +130655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.704811221,1 +130659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.030002394,1 +130656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.430381348,1 +130661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.168676534,1 +130660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.214322022,1 +130662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.089305565,1 +130664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.405027102,1 +130663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.936813728,1 +130665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.551769687,1 +130666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.658576016,1 +130667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.101342995,1 +130668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.95839843,1 +130671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.907914287,1 +130669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.252868515,1 +130672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.147996848,1 +130670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.559644663,1 +130673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.497120818,1 +130676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.649089227,1 +130674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.644743351,1 +130677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.613250117,1 +130675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.554309564,1 +130678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.378112224,1 +130679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.148143238,1 +130680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.344526617,1 +130681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.110609444,1 +130682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.363815585,1 +130683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.987125817,1 +130684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.895266266,1 +130685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.044050359,1 +130686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.128366917,1 +130688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.113518753,1 +130689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.735172712,1 +130690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.067240918,1 +130691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,8.323751577,1 +130693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.371250174,1 +130687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.054643992,1 +130694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.608943402,1 +130692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.07098497,1 +130695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.299425411,1 +130696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.662498115,1 +130698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.937536134,1 +130700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.199857918,1 +130697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.809559618,1 +130701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.19337172,1 +130699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.801795677,1 +130702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.231848031,1 +130703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.053285439,1 +130704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.018569855,1 +130705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.026750854,1 +130707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.330098057,1 +130708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.879539976,1 +130709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,8.162238651,1 +130706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.689726652,1 +130710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.451924894,1 +130712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.403573647,1 +130713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.355257761,1 +130715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.697017188,1 +130711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.547125153,1 +130714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.005441089,1 +130716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.20505347,1 +130718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.350803372,1 +130717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.269931387,1 +130719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.249212999,1 +130720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.310816074,1 +130721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.759221303,1 +130722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.278653998,1 +130723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.625052198,1 +130725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.041755501,1 +130726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.420203324,1 +130727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.379923391,1 +130729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.798422515,1 +130724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.712720103,1 +130730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.657162844,1 +130732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.935187834,1 +130728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.401265004,1 +130731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.69378513,1 +130733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.736974354,1 +130734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.094268424,1 +130735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.705968294,1 +130736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.287960555,1 +130737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.164676581,1 +130738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,1.718758464,1 +130739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.821230141,1 +130740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.896589878,1 +130742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.727367077,1 +130741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.675326349,1 +130743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.177124136,1 +130746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.948358854,1 +130747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.194186922,1 +130745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.377382134,1 +130744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.86053724,1 +130748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.274631003,1 +130749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.893600436,1 +130750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.957589994,1 +130752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.544278685,1 +130751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.519776815,1 +130753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.987355724,1 +130754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.661748083,1 +130755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.200975043,1 +130756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.619054174,1 +130757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.172700914,1 +130758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.694574684,1 +130759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,8.215971143,1 +130761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.736127696,1 +130760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.074942007,1 +130762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.009220337,1 +130763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.160572458,1 +130764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.597641101,1 +130765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.030468586,1 +130766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.286074961,1 +130767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.391714812,1 +130768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.117329375,1 +130769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.99129078,1 +130770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.786788618,1 +130771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.552470345,1 +130772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.597604266,1 +130774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.639931178,1 +130775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.187478529,1 +130773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.207482517,1 +130776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.649381648,1 +130777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.933834134,1 +130779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.678083887,1 +130780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.415434961,1 +130778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.443276172,1 +130782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.803209179,1 +130783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.644359059,1 +130784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.575435917,1 +130785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.910660593,1 +130786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.958157883,1 +130781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.543852215,1 +130787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.875072287,1 +130789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.448276871,1 +130791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.166841786,1 +130788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.889027026,1 +130790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.782385907,1 +130792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.340792843,1 +130793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.406286504,1 +130795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.540989026,1 +130796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.27905158,1 +130797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.907817014,1 +130798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.961341462,1 +130794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.087555391,1 +130799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.419517589,1 +130800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.838555244,1 +130803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.751576695,1 +130804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.219791273,1 +130802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,1.582403154,1 +130805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.11248278,1 +130801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.517421991,1 +130806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.802203834,1 +130807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.072550754,1 +130809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.201298569,1 +130811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.435798979,1 +130808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.55926907,1 +130810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.941529349,1 +130812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.782574783,1 +130814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.630662627,1 +130815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.4201746,1 +130816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.780783956,1 +130817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.24224796,1 +130818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.066476433,1 +130813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.935050023,1 +130820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.956993482,1 +130821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.829276833,1 +130822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.175753611,1 +130819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.023914355,1 +130823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.274408617,1 +130825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.899386639,1 +130824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.283643688,1 +130826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.603856749,1 +130827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.812223053,1 +130828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.873751964,1 +130829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.360524578,1 +130830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.65555474,1 +130831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.840878499,1 +130833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.09273315,1 +130834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.718255306,1 +130835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.396887612,1 +130836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.632478857,1 +130837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.190476879,1 +130838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.699919324,1 +130832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.627652092,1 +130839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.905052992,1 +130840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.255638506,1 +130841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.039792262,1 +130842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.640802609,1 +130843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.651498798,1 +130845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.45649057,1 +130844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.650472301,1 +130846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,8.035063414,1 +130847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.592923716,1 +130848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.276575623,1 +130849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.405132033,1 +130850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.18810659,1 +130851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.716592396,1 +130852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.549873353,1 +130853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.449802908,1 +130855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.245997851,1 +130856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.561207406,1 +130854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.609419426,1 +130857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.796716787,1 +130858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.458391762,1 +130859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.059082448,1 +130860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.123004484,1 +130861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.950107234,1 +130862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.436400506,1 +130863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.265846707,1 +130865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.496247969,1 +130864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.221226843,1 +130867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.036270566,1 +130866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.522856349,1 +130868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.185703138,1 +130871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.556959027,1 +130870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.970349427,1 +130869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.040669415,1 +130872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.460883481,1 +130874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.432563832,1 +130876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.881193011,1 +130873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.671463056,1 +130877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.534779212,1 +130875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.851958609,1 +130878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.942111179,1 +130879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.920952039,1 +130880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.019078518,1 +130881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.287255397,1 +130883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.260654826,1 +130882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.569388155,1 +130884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.310963106,1 +130886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.335127302,1 +130885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.573608677,1 +130887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.080214334,1 +130888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.08627643,1 +130891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.254501841,1 +130892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.336025309,1 +130893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.394051368,1 +130889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.23252931,1 +130894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.345481522,1 +130895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.454839852,1 +130896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.103820849,1 +130890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.403300591,1 +130897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.388709009,1 +130898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,1.73695311,1 +130899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.50212478,1 +130900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.48482837,1 +130901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.655053044,1 +130903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.050239514,1 +130902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.693402029,1 +130904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.13015231,1 +130905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.543425969,1 +130907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.949818047,1 +130906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.380648435,1 +130909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.887175225,1 +130908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.185733585,1 +130910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.870705597,1 +130912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.090899468,1 +130911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.106038935,1 +130914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.348877423,1 +130915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.330385423,1 +130916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.937840758,1 +130913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.158909904,1 +130918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.256097986,1 +130917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.415602009,1 +130919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.952071719,1 +130920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.593441993,1 +130922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.355537657,1 +130923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.375248344,1 +130924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.134820244,1 +130921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.531792736,1 +130925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.794210295,1 +130926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.687648122,1 +130927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.361200829,1 +130929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.940548972,1 +130928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.472990793,1 +130931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.453909937,1 +130933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.072816095,1 +130932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.061837393,1 +130930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.683030876,1 +130934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.698182112,1 +130935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.285430137,1 +130937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.526762489,1 +130936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.775724908,1 +130938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.183662181,1 +130939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.653173173,1 +130941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.18451123,1 +130940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.198003266,1 +130942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.120219339,1 +130944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.033660706,1 +130946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.098726354,1 +130945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.548810896,1 +130943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.753744826,1 +130947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.575555101,1 +130948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.555758172,1 +130950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.221757896,1 +130949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.481529995,1 +130951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.093428911,1 +130952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.874477245,1 +130953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.006452071,1 +130954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.697665912,1 +130955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.64322483,1 +130956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.791451396,1 +130957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.895757169,1 +130958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.09172757,1 +130960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.196310586,1 +130959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.693298563,1 +130962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.497078695,1 +130963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.109942985,1 +130964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.585487634,1 +130961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,2.478657336,1 +130966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.395667338,1 +130967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.381959766,1 +130968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.475109185,1 +130969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.76213704,1 +130970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.451658133,1 +130971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.65631652,1 +130972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.370596371,1 +130973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.610112522,1 +130965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,1.958619527,1 +130974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.042074038,1 +130975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.235721392,1 +130977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.305897771,1 +130976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.472056768,1 +130978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.973597453,1 +130981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.094092888,1 +130980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.749284419,1 +130979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.643318549,1 +130982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.032133801,1 +130983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.314125805,1 +130984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,5.234405883,1 +130985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,7.3282557,1 +130986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.990133552,1 +130987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.201882156,1 +130989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.214171233,1 +130990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.873512105,1 +130991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.204081784,1 +130992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.988923392,1 +130988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.42375723,1 +130993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.07839744,1 +130994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.449233177,1 +130996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.578568256,1 +130995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.573969975,1 +130997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.207944239,1 +130998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,3.854857121,1 +130999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,4.340019944,1 +131000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,1,1,6.068299367,1 +140002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.51782742,1 +140001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.884924087,1 +140003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.085567813,1 +140004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.836766749,1 +140006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.017203075,1 +140005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.709735129,1 +140007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.265820915,1 +140008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.324780863,1 +140009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.870585251,1 +140010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.611260058,1 +140011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.787166794,1 +140012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.989304387,1 +140013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.060117307,1 +140016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.248285317,1 +140015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.919226573,1 +140014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.656920059,1 +140017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.655761813,1 +140018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.796830892,1 +140019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.441028787,1 +140020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.403324382,1 +140021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.087741979,1 +140022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.761129717,1 +140023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.632747119,1 +140024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.559787435,1 +140025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.971469341,1 +140026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.820640502,1 +140027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.937229693,1 +140029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.261211059,1 +140028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.76144879,1 +140030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.264418041,1 +140032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.310973864,1 +140031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.263410605,1 +140034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.582352531,1 +140033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.889667303,1 +140035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.011813899,1 +140036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.372202304,1 +140038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.331489216,1 +140037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.533514533,1 +140039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.485871796,1 +140040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.474707719,1 +140042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.3715206,1 +140043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.171822114,1 +140044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.020868957,1 +140041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.184180481,1 +140045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.809943769,1 +140046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.495668981,1 +140047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.07618545,1 +140048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.656670695,1 +140049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.464812244,1 +140050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.278246384,1 +140051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.400449001,1 +140053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.091869787,1 +140054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.248635096,1 +140055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.550448343,1 +140056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.809483943,1 +140057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.53089895,1 +140058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.47509748,1 +140052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.265024875,1 +140059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.572990138,1 +140060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.345059495,1 +140061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,8.680547297,1 +140062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.985044717,1 +140063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.006933307,1 +140064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.289545543,1 +140065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.475215495,1 +140067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.332198917,1 +140066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.371386233,1 +140068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.222092964,1 +140069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.355373909,1 +140070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.08850358,1 +140072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.574374496,1 +140073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.445868734,1 +140074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.913311965,1 +140075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.527023386,1 +140076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.425330627,1 +140071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.792813552,1 +140077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.265067553,1 +140078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.466115098,1 +140080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.445780733,1 +140079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.922199546,1 +140081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.422087111,1 +140082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.401378538,1 +140083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.53333626,1 +140084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.000024083,1 +140085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.526253021,1 +140086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.407849271,1 +140087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.97616198,1 +140088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.192808617,1 +140089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.084681031,1 +140090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.169073683,1 +140092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.108133556,1 +140093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.973213498,1 +140094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.70046646,1 +140096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.378465894,1 +140091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.982506434,1 +140095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.463648967,1 +140097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,8.473526146,1 +140098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.869996084,1 +140099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.555910999,1 +140100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.304142668,1 +140101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.583207842,1 +140102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.317751571,1 +140103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.925033086,1 +140104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.247586853,1 +140105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.195261144,1 +140106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.13009298,1 +140107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.173611844,1 +140108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.557907878,1 +140109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.66385129,1 +140111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.133563914,1 +140112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.67064959,1 +140110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.095486228,1 +140114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.770616179,1 +140113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.097122535,1 +140115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.485848482,1 +140117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.333514004,1 +140118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.74043905,1 +140119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.834498931,1 +140116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.745254221,1 +140120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.696765545,1 +140122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.037621907,1 +140121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.02104758,1 +140123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.0732028,1 +140125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.045460766,1 +140124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.091140433,1 +140126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.215001602,1 +140127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.629428467,1 +140128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.398810714,1 +140129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.088520871,1 +140130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.107520491,1 +140132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.365909048,1 +140133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.410735274,1 +140131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.97962241,1 +140134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.505030836,1 +140135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.152892411,1 +140136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.247321136,1 +140138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.539229129,1 +140137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.860980114,1 +140139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.026218804,1 +140141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.184404507,1 +140140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.387006677,1 +140142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.579375389,1 +140143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.045647399,1 +140145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.803769822,1 +140146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.741772586,1 +140147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.169250467,1 +140149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.742372101,1 +140144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.088259326,1 +140148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.759732044,1 +140150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.379383724,1 +140154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.107463347,1 +140152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.697357116,1 +140153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.093993584,1 +140151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.216250927,1 +140156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.100837535,1 +140155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.295653651,1 +140157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.577725091,1 +140158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.768680026,1 +140159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.034892861,1 +140160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.743086324,1 +140161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.230053846,1 +140162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.174671391,1 +140164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.114209201,1 +140165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.780088779,1 +140166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.375212788,1 +140167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.106964783,1 +140163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.415316519,1 +140168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.038586002,1 +140171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.836869594,1 +140169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.668984443,1 +140170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.284361114,1 +140172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.243728506,1 +140174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.14048431,1 +140175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.439824904,1 +140173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.307259639,1 +140176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,8.407983787,1 +140177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.572466816,1 +140178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.417473319,1 +140179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.060369637,1 +140181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.686391168,1 +140182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.817326141,1 +140180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.061920336,1 +140185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.168260536,1 +140184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.52326266,1 +140186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.937582914,1 +140183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.406376943,1 +140187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.761889346,1 +140190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.784856105,1 +140188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.052474646,1 +140191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.876387341,1 +140189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.17478622,1 +140193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.634864325,1 +140192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.280212034,1 +140194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.871215791,1 +140197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.700229584,1 +140196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.909151803,1 +140195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.772201757,1 +140198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.24037073,1 +140199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.659078593,1 +140200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.105535541,1 +140201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.638932162,1 +140202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.545574441,1 +140203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.618756418,1 +140206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.835091068,1 +140207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.821755675,1 +140204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.9688824,1 +140208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.417146235,1 +140205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.289780555,1 +140209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.906914524,1 +140210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.844818943,1 +140211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.515782382,1 +140213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.984474387,1 +140214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.255849594,1 +140215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.885359214,1 +140212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.881783289,1 +140217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.390086041,1 +140219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.845870504,1 +140216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.749934673,1 +140218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.079726914,1 +140222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.973915454,1 +140221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.246678266,1 +140223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.247239831,1 +140224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.49553214,1 +140225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.168821772,1 +140226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.385241531,1 +140220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.318193049,1 +140227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.20602127,1 +140229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.380556283,1 +140230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,8.151034419,1 +140228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.96376676,1 +140233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.459994554,1 +140231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.413267363,1 +140234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.321910513,1 +140232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.08789868,1 +140235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.469882263,1 +140236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.660513498,1 +140238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.446882226,1 +140237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.471932038,1 +140240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.233263001,1 +140241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.377364041,1 +140239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.370796458,1 +140242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.454616326,1 +140243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.878441595,1 +140244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.120924847,1 +140245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.758515159,1 +140247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.712199374,1 +140246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.095534374,1 +140249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.345287108,1 +140248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.39669306,1 +140250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.400332757,1 +140252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.603154457,1 +140251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.950900706,1 +140253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.804847209,1 +140254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.163217879,1 +140256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.594037386,1 +140255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.897417156,1 +140257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.137142791,1 +140258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.795600508,1 +140259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.020892188,1 +140261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.055934831,1 +140262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.515238206,1 +140260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.408538452,1 +140264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.902724746,1 +140265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.813076294,1 +140263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.825887548,1 +140266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.995583042,1 +140267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.7565252,1 +140268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.973973238,1 +140270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.113311107,1 +140269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.145161079,1 +140271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.9809827,1 +140272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.311955677,1 +140273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.373828141,1 +140274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.648454286,1 +140275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.804619432,1 +140276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.077800056,1 +140278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.91033317,1 +140279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.026613089,1 +140277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.284353671,1 +140280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.945669,1 +140281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.05342403,1 +140282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.00238816,1 +140283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.022846108,1 +140285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.699419748,1 +140286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.727756167,1 +140287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.035455518,1 +140284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.498143321,1 +140288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.309418397,1 +140289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.904089091,1 +140290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.112199895,1 +140291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.881958425,1 +140293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.687802527,1 +140295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.339984108,1 +140294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.72945992,1 +140292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.427824499,1 +140297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.239372843,1 +140298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.692748335,1 +140296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.787621557,1 +140299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.968255741,1 +140302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.090400918,1 +140301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.476261796,1 +140303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.244706043,1 +140304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.612619357,1 +140305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.682225286,1 +140300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.809329318,1 +140306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.083859017,1 +140307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.898414569,1 +140308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.394923982,1 +140309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.980086202,1 +140310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.647160092,1 +140311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.63468949,1 +140312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.440587226,1 +140313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.180456279,1 +140314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.211405033,1 +140315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.314330691,1 +140316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.626358525,1 +140317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.114059633,1 +140318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.620145525,1 +140320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.3787819,1 +140319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.781529442,1 +140324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.594173477,1 +140322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.617277985,1 +140321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.829186459,1 +140323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.649976259,1 +140325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.051505686,1 +140327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.670433018,1 +140326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.306271796,1 +140328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.311098869,1 +140329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.352764364,1 +140330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.203053147,1 +140332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.844846021,1 +140331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.665145906,1 +140333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.921548361,1 +140334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.646850508,1 +140336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.856644766,1 +140335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.727688769,1 +140337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.38934436,1 +140340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.033080483,1 +140339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.135019841,1 +140341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.447908156,1 +140338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.409229761,1 +140342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.502717101,1 +140344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.14856166,1 +140345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.991003507,1 +140346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.732100792,1 +140347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.839853769,1 +140348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.619215135,1 +140343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.992890138,1 +140349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.912177293,1 +140350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.562844728,1 +140351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.553267766,1 +140353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.75826259,1 +140352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.346240466,1 +140354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.211987648,1 +140355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.265453163,1 +140356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.008413426,1 +140357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.352024453,1 +140359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.218916279,1 +140358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.899892785,1 +140360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.892125311,1 +140362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.844289741,1 +140363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.954815372,1 +140365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.835028234,1 +140364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.69550006,1 +140366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.873702691,1 +140361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.882063627,1 +140368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.898263858,1 +140369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.85332225,1 +140367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.619096373,1 +140370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.741513201,1 +140371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.958595192,1 +140372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.264547298,1 +140373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.850420777,1 +140375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.783288105,1 +140374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.346060485,1 +140376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.843809151,1 +140377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.42770018,1 +140378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.128616027,1 +140379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.275797232,1 +140380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.798208791,1 +140382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.28214058,1 +140381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.897937379,1 +140384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.968070059,1 +140386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.760613663,1 +140385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.970310796,1 +140383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.181686496,1 +140387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.799493148,1 +140388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.704605062,1 +140389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.817824615,1 +140390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.830479281,1 +140391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.976346781,1 +140392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.274741036,1 +140393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.980506296,1 +140394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.255598984,1 +140395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.436530964,1 +140396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.036753003,1 +140397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.279399214,1 +140399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.313249012,1 +140398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.677607316,1 +140400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.45000093,1 +140401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.387244609,1 +140402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.639513867,1 +140404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.464471923,1 +140405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.483507745,1 +140403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.936774127,1 +140406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.845322151,1 +140407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.39778543,1 +140408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.027803126,1 +140410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.304454523,1 +140411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.223424849,1 +140412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.526426869,1 +140409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.095460235,1 +140413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.431148752,1 +140415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.488556071,1 +140414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.768189489,1 +140416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.628287286,1 +140417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.800745889,1 +140419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.151840266,1 +140420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.178882963,1 +140421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.607816792,1 +140422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.239145843,1 +140418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.752064132,1 +140424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.918981026,1 +140426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.443422509,1 +140425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.383024341,1 +140427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.949654491,1 +140428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.63395081,1 +140429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.816566137,1 +140423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.562292426,1 +140431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.894648502,1 +140430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.35913919,1 +140432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.676236515,1 +140434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.406653515,1 +140433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.890033212,1 +140435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.32110503,1 +140436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.833523034,1 +140439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.134749137,1 +140438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.031890974,1 +140440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.1325248,1 +140441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.481430064,1 +140437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.188925903,1 +140443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.089172769,1 +140444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.296365972,1 +140445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.748744102,1 +140442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.240456225,1 +140446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.070966297,1 +140448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.588986454,1 +140449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.077469452,1 +140447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.682283794,1 +140450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.970631552,1 +140451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.758544531,1 +140452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.033904848,1 +140453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.530745589,1 +140454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.572973587,1 +140456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.146684552,1 +140457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.066723999,1 +140458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.316639929,1 +140455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.436733602,1 +140460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.142202026,1 +140461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.062554302,1 +140462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.945786935,1 +140459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.964653918,1 +140465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.250548832,1 +140463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.614416615,1 +140464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.823150802,1 +140466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.904383961,1 +140467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.335765245,1 +140468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.454645993,1 +140469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.589613509,1 +140470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.609059309,1 +140472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,8.448935516,1 +140473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.479602393,1 +140471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.909368139,1 +140474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.634442399,1 +140475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.128664416,1 +140476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.878387023,1 +140477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,1.9993137,1 +140479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.011078647,1 +140480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.851642804,1 +140478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.679551855,1 +140481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.668528528,1 +140482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.779516964,1 +140483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.502588752,1 +140484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.037127967,1 +140485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.293132681,1 +140486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.214765568,1 +140487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.274461291,1 +140488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.700273889,1 +140489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.425625214,1 +140490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.516930048,1 +140491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.140441224,1 +140492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.288241748,1 +140494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.921320988,1 +140495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.396133967,1 +140493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.520720634,1 +140496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.686056831,1 +140497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.103544455,1 +140499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.600892312,1 +140500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.924987821,1 +140501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.555055303,1 +140502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.647559053,1 +140503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.811793187,1 +140504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.724851917,1 +140505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.966334699,1 +140498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.753952433,1 +140506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.742225481,1 +140507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.055149025,1 +140509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.188861787,1 +140508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.981932902,1 +140511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.110718548,1 +140510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.329798401,1 +140512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.308557645,1 +140513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.419920874,1 +140514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.787597879,1 +140515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.259966346,1 +140516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.906509325,1 +140517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.395404499,1 +140518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.343909967,1 +140521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.558542638,1 +140519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.444826601,1 +140522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.559452109,1 +140520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.216073994,1 +140524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.227325768,1 +140523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.75705852,1 +140526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.830384999,1 +140525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.885362245,1 +140527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.85806337,1 +140528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.058709744,1 +140530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.342932068,1 +140529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.409064086,1 +140531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.582447789,1 +140532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.016815803,1 +140533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.294304332,1 +140534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.270370369,1 +140536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.854383002,1 +140537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.952692625,1 +140535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.693482278,1 +140541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.711269471,1 +140539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.295865622,1 +140540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.407713484,1 +140538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.182205954,1 +140542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.405293315,1 +140543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.298466268,1 +140544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.032010338,1 +140545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.640223821,1 +140547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.959469973,1 +140549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.943383659,1 +140546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.585773278,1 +140548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.056014044,1 +140551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.928257282,1 +140550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.447559162,1 +140552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.602727276,1 +140553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.796928424,1 +140555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.686579493,1 +140556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.783063765,1 +140557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.729925966,1 +140554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.465294047,1 +140558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.398082315,1 +140561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.25370859,1 +140562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.288353137,1 +140563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.280170065,1 +140559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.273512577,1 +140564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.568676128,1 +140560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.042056848,1 +140565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.357820771,1 +140567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.94626309,1 +140566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.399485511,1 +140569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.647890537,1 +140568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.483601323,1 +140571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.567184903,1 +140573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.889547483,1 +140572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.051816586,1 +140570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.293208103,1 +140574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.303628901,1 +140576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.299519468,1 +140575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.561909466,1 +140577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.740859221,1 +140579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.322600137,1 +140581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.388285518,1 +140578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.599964253,1 +140582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.939100694,1 +140583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.332442931,1 +140584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.558339436,1 +140580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.081650969,1 +140585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.621628124,1 +140588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.386701919,1 +140586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.850939875,1 +140587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.563342287,1 +140589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.219939499,1 +140590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.36322644,1 +140591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.15586474,1 +140593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.741313466,1 +140594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.07257908,1 +140595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.470946932,1 +140592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.420355963,1 +140596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.756548735,1 +140598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.545367709,1 +140599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.699788452,1 +140597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.967412388,1 +140601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.96360523,1 +140600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.894397009,1 +140603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.489710438,1 +140602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.27196829,1 +140604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.131054476,1 +140605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,8.086937155,1 +140606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.312730078,1 +140607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.364751692,1 +140608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.004755987,1 +140609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.768853852,1 +140610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.297948101,1 +140612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.879805768,1 +140613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.446058127,1 +140611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.696367148,1 +140615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.710417572,1 +140614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.446366802,1 +140616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.629501676,1 +140617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.813808449,1 +140618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.10141637,1 +140619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,8.317399338,1 +140620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.589977851,1 +140622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.497410433,1 +140621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.331003555,1 +140624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.325355267,1 +140623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.066512736,1 +140625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.348615536,1 +140628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.955466441,1 +140627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.841453055,1 +140626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.321842653,1 +140629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.531302824,1 +140631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.523406292,1 +140630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.613197758,1 +140632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.862976163,1 +140634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.516758293,1 +140635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.141040864,1 +140636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.166610876,1 +140637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.99076467,1 +140638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.745955418,1 +140633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.392942547,1 +140640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.569928299,1 +140639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.325677528,1 +140641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.752890063,1 +140642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.662123122,1 +140643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.370044705,1 +140644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.71560419,1 +140645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.789222236,1 +140646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.087040093,1 +140647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.71315748,1 +140649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.403073086,1 +140648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.496957013,1 +140650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.748592011,1 +140651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.958792203,1 +140652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.485130197,1 +140653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.225174521,1 +140654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.059359104,1 +140655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.131427044,1 +140656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.584854506,1 +140657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.627237866,1 +140659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.342006277,1 +140660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.588828611,1 +140661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.693458638,1 +140658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.240355614,1 +140663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.709213648,1 +140662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.530277725,1 +140664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.586509226,1 +140665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.874015894,1 +140666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.853954267,1 +140667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.3282976,1 +140669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.588272954,1 +140668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.38060695,1 +140670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.00975665,1 +140671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.126878562,1 +140672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.981579596,1 +140673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.862598399,1 +140674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.879271993,1 +140675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.163385448,1 +140677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.353261687,1 +140678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.93537877,1 +140676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,8.125847894,1 +140679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.550290213,1 +140681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.888047672,1 +140682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.930554557,1 +140683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.213314566,1 +140684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.36427975,1 +140680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.604851785,1 +140685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.561904206,1 +140686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.299373285,1 +140687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.865951885,1 +140689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.357495038,1 +140690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.671344527,1 +140691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.351287179,1 +140692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.458644883,1 +140693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.47191815,1 +140688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.097941271,1 +140696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,8.118787654,1 +140697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.316328414,1 +140695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.806674138,1 +140694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.757486593,1 +140698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.753010186,1 +140699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.351003494,1 +140701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.389622394,1 +140700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.737223886,1 +140702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.494572741,1 +140704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.815442617,1 +140705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.772066873,1 +140706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.944068064,1 +140708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.877337247,1 +140707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.113955729,1 +140703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.085978608,1 +140710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.791941443,1 +140711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.96534446,1 +140709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.149679538,1 +140712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.699634761,1 +140713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.785973809,1 +140714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.882648814,1 +140715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.76900571,1 +140716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.51263825,1 +140717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.543618269,1 +140718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.503841195,1 +140719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.23286447,1 +140721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.808926152,1 +140722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.133830502,1 +140723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.44596485,1 +140720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.282341661,1 +140725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.525336542,1 +140724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.471609289,1 +140726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.448733021,1 +140727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.143086284,1 +140728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.655544341,1 +140730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.198320719,1 +140729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.343621812,1 +140731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.022002262,1 +140732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.049959398,1 +140733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.29690289,1 +140734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.769923714,1 +140735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.439771019,1 +140736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.955015128,1 +140737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.208131382,1 +140738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.018006675,1 +140741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,8.253883119,1 +140740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.196986857,1 +140739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.77077188,1 +140742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.266008107,1 +140743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.807656246,1 +140745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.107349744,1 +140746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.164044405,1 +140747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.933934765,1 +140744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.006318588,1 +140748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.132126706,1 +140749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.194265702,1 +140750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.618922713,1 +140751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.596755465,1 +140752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.808558537,1 +140754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.318087685,1 +140753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.658317483,1 +140755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.177792487,1 +140756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.312902359,1 +140757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.58232466,1 +140758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.576374559,1 +140759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.12774027,1 +140760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.85499081,1 +140762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.61268423,1 +140761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.102157864,1 +140764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.596600516,1 +140765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.988494398,1 +140763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.071499379,1 +140768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.835877746,1 +140766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.488778498,1 +140767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.340362288,1 +140769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.51430776,1 +140771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.828986443,1 +140770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.026778238,1 +140772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.842806661,1 +140774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.27782845,1 +140773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.897573641,1 +140775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.153422241,1 +140776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.987911539,1 +140777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.40524278,1 +140779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.885399263,1 +140778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.466877127,1 +140780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.420446512,1 +140782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.346108537,1 +140781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.520148274,1 +140783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.834740798,1 +140786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.701925636,1 +140784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.570530158,1 +140787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.530723748,1 +140785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.049013605,1 +140788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.162420472,1 +140790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.085389949,1 +140791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.268759377,1 +140792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.188906999,1 +140794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.28765536,1 +140793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.222921959,1 +140789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.294197567,1 +140796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.638969757,1 +140798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.597966438,1 +140797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.012257099,1 +140799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.131085977,1 +140795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.88907752,1 +140801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.799802852,1 +140800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.937115801,1 +140803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.325513828,1 +140802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.429469771,1 +140804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.44116381,1 +140805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.748979097,1 +140806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.73142233,1 +140807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.117282434,1 +140809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.351610099,1 +140810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.677849805,1 +140811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.739931762,1 +140813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.52044318,1 +140808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,1.627931748,1 +140814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.726733622,1 +140812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.941939784,1 +140816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.361454468,1 +140818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.22972864,1 +140817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.44299303,1 +140815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.733571827,1 +140819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.593168398,1 +140821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.019400899,1 +140820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.651541157,1 +140822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.755012415,1 +140823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.385150917,1 +140826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.951189988,1 +140824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.399833626,1 +140825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.919433682,1 +140828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.767814061,1 +140829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.420562289,1 +140827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.98730596,1 +140832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.996535322,1 +140830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.463041805,1 +140831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.994678065,1 +140833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.266655054,1 +140835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.988712033,1 +140834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.264367066,1 +140836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.632888088,1 +140838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.729441668,1 +140837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.197819898,1 +140839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.53137065,1 +140840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.537659269,1 +140841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.250631686,1 +140842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.849951028,1 +140843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.378388296,1 +140844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.767752173,1 +140845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.801697626,1 +140847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.348891471,1 +140848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,1.337841262,1 +140849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.280314016,1 +140850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.034902621,1 +140846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.302534925,1 +140851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.758711762,1 +140853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.032136655,1 +140854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.531901028,1 +140852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.489803273,1 +140855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.84122605,1 +140856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.148463466,1 +140858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.901761778,1 +140859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.338553947,1 +140857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.598694418,1 +140860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.668532205,1 +140861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.150762358,1 +140862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.436175052,1 +140863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.370054138,1 +140866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.807564533,1 +140865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.611239019,1 +140864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.902290902,1 +140868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.07200483,1 +140870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.423169007,1 +140869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.515108332,1 +140867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.754391417,1 +140871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.847579483,1 +140872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.139350242,1 +140873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.474460628,1 +140875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.695894176,1 +140877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.2478679,1 +140876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.560501041,1 +140874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.941431259,1 +140879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.271794661,1 +140878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.288995405,1 +140880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.720745262,1 +140881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.982395703,1 +140883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.482785686,1 +140884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.961340861,1 +140885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.711153175,1 +140886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.292829291,1 +140887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.404407298,1 +140882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.715355695,1 +140889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.141977082,1 +140890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.861543618,1 +140891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.517783433,1 +140893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.931808251,1 +140892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.777372072,1 +140888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.610050715,1 +140894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.072098309,1 +140895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.621741194,1 +140898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.691143745,1 +140896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.840649943,1 +140897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.621025956,1 +140899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.235284261,1 +140901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.296600505,1 +140902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.879814881,1 +140903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.183476142,1 +140904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.531257528,1 +140905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.821272079,1 +140900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.970880479,1 +140906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.460743065,1 +140907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.768422653,1 +140909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.136459051,1 +140908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,8.313104685,1 +140910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,2.865626247,1 +140911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.171019173,1 +140912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.56151734,1 +140913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.384069843,1 +140915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.166900487,1 +140916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.654183327,1 +140914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.855392519,1 +140917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.92261463,1 +140918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.716837711,1 +140920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.410350562,1 +140921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.605702429,1 +140922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.284792565,1 +140919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.322363296,1 +140923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.603261755,1 +140925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.562439037,1 +140926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.513277513,1 +140924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.836618995,1 +140928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.286045023,1 +140927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.088750595,1 +140929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.742809991,1 +140930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.675539685,1 +140931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.521976929,1 +140932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.792330754,1 +140934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.793336975,1 +140933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.11244336,1 +140936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.105084979,1 +140938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.904063202,1 +140937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.13252988,1 +140935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.381152033,1 +140940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.771001346,1 +140941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.38342251,1 +140939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.982080769,1 +140942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.00926445,1 +140944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.81331806,1 +140946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.619564698,1 +140945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.947125972,1 +140947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.107076375,1 +140943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.694194889,1 +140948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.611476011,1 +140949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.852363795,1 +140950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.426377075,1 +140952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.817712725,1 +140953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.238047986,1 +140951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.240127268,1 +140954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.463415141,1 +140957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.994683434,1 +140956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,7.000540973,1 +140955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.88089211,1 +140958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.596837954,1 +140959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.398463767,1 +140961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.274208212,1 +140960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.863938635,1 +140962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.691471487,1 +140964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.653320922,1 +140965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.96683769,1 +140966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.541789569,1 +140963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.567945492,1 +140967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.617939327,1 +140969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.03547945,1 +140970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.309529257,1 +140968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.27691766,1 +140971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.606935828,1 +140973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.084318504,1 +140972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.799779299,1 +140974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.267033672,1 +140975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.179540639,1 +140976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.213229462,1 +140977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.581769225,1 +140978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.883483704,1 +140979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.324611507,1 +140980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.41695248,1 +140982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.322642349,1 +140981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.152562597,1 +140983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.575295582,1 +140986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.743731788,1 +140985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.355543618,1 +140984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.869409831,1 +140987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.776904427,1 +140989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,3.37742379,1 +140990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.394219393,1 +140991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.495401812,1 +140992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.051673764,1 +140988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.803050787,1 +140993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.201442447,1 +140994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.785976562,1 +140997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,9.167304496,1 +140995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.91736589,1 +140998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.495068479,1 +140996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,6.669907438,1 +141000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,4.70638326,1 +140999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,1,1,5.558247176,1 +150001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.447131108,1 +150002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.611613485,1 +150003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.405990453,1 +150004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.695078538,1 +150006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.567823702,1 +150005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.774382989,1 +150008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.467760583,1 +150007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.658925747,1 +150010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.79352952,1 +150009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.319032009,1 +150012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.505498868,1 +150013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.286198788,1 +150014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.670247782,1 +150011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.579010875,1 +150016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.431578425,1 +150015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.358342626,1 +150018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.505943465,1 +150017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.81244967,1 +150019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.401852183,1 +150021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.450743954,1 +150020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.220804024,1 +150022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,8.335807035,1 +150023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.64019275,1 +150024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.312434987,1 +150025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.420422568,1 +150026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.058389811,1 +150027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.711024979,1 +150030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.115736255,1 +150029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.795447803,1 +150031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.688273928,1 +150028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.174497107,1 +150033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.105274162,1 +150032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.831497402,1 +150034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.008651823,1 +150035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.380419924,1 +150037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.271012491,1 +150036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.020690289,1 +150039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.654789643,1 +150038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.83165429,1 +150040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.075300663,1 +150041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.38249952,1 +150042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.691444715,1 +150043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.952809359,1 +150044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.707859777,1 +150047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.898861086,1 +150045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.400908821,1 +150046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.827207854,1 +150048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.407739958,1 +150050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.544467552,1 +150051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.686562727,1 +150052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.079531657,1 +150049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.651252945,1 +150053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.837762524,1 +150054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.726536985,1 +150055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.290361016,1 +150057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.224938496,1 +150058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.919446343,1 +150059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.917311121,1 +150060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.015544448,1 +150061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.207481297,1 +150056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.710079433,1 +150062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.611788433,1 +150063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.389441586,1 +150065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.866145971,1 +150064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.085441392,1 +150067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.515801298,1 +150066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.205616132,1 +150068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.293202419,1 +150069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.392143699,1 +150070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.806508747,1 +150071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.949174358,1 +150073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.658104046,1 +150074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.892817148,1 +150075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.247436345,1 +150076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.863760075,1 +150072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.983629923,1 +150078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.061259793,1 +150077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.054240461,1 +150080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.950030299,1 +150079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.624469789,1 +150082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,1.796470603,1 +150081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.804006569,1 +150084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.853158431,1 +150083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.738546517,1 +150085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.130769286,1 +150086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.62433475,1 +150087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.136750089,1 +150088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.628819667,1 +150089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.025725209,1 +150090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.561955029,1 +150091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.776636654,1 +150093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.610970976,1 +150094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.210491396,1 +150095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.92338136,1 +150092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.192493756,1 +150096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.742133938,1 +150097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.128826291,1 +150098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.300070786,1 +150099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.212440317,1 +150101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.480807055,1 +150100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.59208718,1 +150102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.862106636,1 +150103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.942793866,1 +150105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.880632831,1 +150104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.378292956,1 +150106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.875052302,1 +150108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.548296939,1 +150109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.353157506,1 +150107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.92370229,1 +150110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.086527069,1 +150111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.392944288,1 +150112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.403196786,1 +150115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.565877507,1 +150114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.273452414,1 +150116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.407369617,1 +150117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.938582831,1 +150118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.034076364,1 +150113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.058409123,1 +150120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.760904738,1 +150119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.974586097,1 +150121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.736739889,1 +150122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.702892691,1 +150124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.804487517,1 +150125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.397180009,1 +150123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.007318485,1 +150126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.028051916,1 +150128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.371393499,1 +150129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.922708343,1 +150127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.021225175,1 +150131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.790727906,1 +150132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.169885742,1 +150133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.88826434,1 +150130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.424558985,1 +150134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.393328559,1 +150135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.763434939,1 +150136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.97566101,1 +150138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.992586043,1 +150140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.885639845,1 +150139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.400733946,1 +150137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.337823431,1 +150143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.014491508,1 +150142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.985978537,1 +150144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.661384406,1 +150146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.214579923,1 +150141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.885025152,1 +150145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.505705119,1 +150147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.678106468,1 +150148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.545834943,1 +150151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.307204374,1 +150150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,8.957034767,1 +150152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.097273522,1 +150149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.175656619,1 +150153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.508906964,1 +150154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.059479607,1 +150156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.56589781,1 +150158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.702512709,1 +150155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.528669194,1 +150157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.883233716,1 +150159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.434912505,1 +150160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.361111233,1 +150161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.337319214,1 +150162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.677926906,1 +150165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.783959668,1 +150166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.514460609,1 +150163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.143567423,1 +150167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.75721926,1 +150168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.47211759,1 +150164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.267038307,1 +150169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.905070545,1 +150170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.383725875,1 +150172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.154892428,1 +150171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.748340222,1 +150173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.068255491,1 +150175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.545654927,1 +150174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.225842654,1 +150176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.59610416,1 +150178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.268413995,1 +150179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.094806782,1 +150180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.48331206,1 +150177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.272734258,1 +150182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.29208296,1 +150183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.521274959,1 +150184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.343222909,1 +150181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.057020617,1 +150185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.817986001,1 +150187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.195131658,1 +150186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.858574836,1 +150188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.166523208,1 +150189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.44533989,1 +150191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.733639527,1 +150192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.14740087,1 +150190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.221735985,1 +150193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.451250117,1 +150194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.071201627,1 +150195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.436374317,1 +150196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.866751329,1 +150197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.940389139,1 +150198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.987146731,1 +150200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.060872294,1 +150201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.687146874,1 +150202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.79487497,1 +150199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.217435502,1 +150203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.974142783,1 +150206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.125225334,1 +150205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.06084171,1 +150207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.842959064,1 +150208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.791062865,1 +150209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.756263878,1 +150204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.111029541,1 +150210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.449201257,1 +150211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.151172561,1 +150212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.537870055,1 +150214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.512669633,1 +150216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.123818731,1 +150213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.833234971,1 +150215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.951434259,1 +150217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.194584138,1 +150219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.563592379,1 +150218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.035044024,1 +150220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.173661364,1 +150221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.053986488,1 +150223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.925544978,1 +150222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.400154319,1 +150224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.528745309,1 +150225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.768442305,1 +150226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.859725653,1 +150228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.480990351,1 +150229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.250050626,1 +150230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.326511027,1 +150231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.763462639,1 +150227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.665843257,1 +150232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.560903245,1 +150234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.421073449,1 +150235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.97985909,1 +150233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.961653449,1 +150236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.640008432,1 +150237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.324592282,1 +150239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.403929209,1 +150238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.381311871,1 +150240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.886773766,1 +150241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.228713561,1 +150242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.410272033,1 +150244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.034865992,1 +150243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.565335354,1 +150245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.706465925,1 +150246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.877067604,1 +150247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.160487754,1 +150248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.60854645,1 +150249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.835761321,1 +150250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.675528217,1 +150251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.856631787,1 +150253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.058251671,1 +150254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.176300106,1 +150255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.355497813,1 +150252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.939960633,1 +150256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.28475187,1 +150258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.39726873,1 +150257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.817252674,1 +150259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.207922401,1 +150260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.648951009,1 +150261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.552411733,1 +150262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.374900378,1 +150263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.769945841,1 +150266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.929855019,1 +150264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.359127282,1 +150265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.192950144,1 +150268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.784446804,1 +150269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.512979984,1 +150270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.773668682,1 +150271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.422815164,1 +150272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.754887412,1 +150273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.093990452,1 +150267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.603771505,1 +150274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.706652155,1 +150275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.603188522,1 +150276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.743195759,1 +150277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.211720224,1 +150278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.475340342,1 +150279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,9.561895847,1 +150280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.880899734,1 +150281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.648646454,1 +150282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.319500291,1 +150283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.701603948,1 +150284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.371280804,1 +150286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.258041151,1 +150287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.377803842,1 +150288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.205295489,1 +150289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.64462118,1 +150285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.90502372,1 +150290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.963523394,1 +150291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.582799845,1 +150292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.281230919,1 +150294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.686948196,1 +150293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.718305643,1 +150295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.785898884,1 +150297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.927963449,1 +150298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.892320222,1 +150296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.017979292,1 +150299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.660831074,1 +150300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.978136004,1 +150301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.627532857,1 +150302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.517404395,1 +150303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.447640478,1 +150304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.508356872,1 +150305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.954716578,1 +150306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.584436453,1 +150307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.095864534,1 +150308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.56337917,1 +150310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.5913121,1 +150311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.272969972,1 +150309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.555974301,1 +150312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.881684234,1 +150313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.394252889,1 +150314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.60858392,1 +150316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,1.82333401,1 +150315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.449302163,1 +150318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.16747326,1 +150319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.972717403,1 +150317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.842288757,1 +150320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.333060725,1 +150322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.149184157,1 +150321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.906467852,1 +150323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.877758406,1 +150326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.391315122,1 +150324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.374063137,1 +150325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.355669789,1 +150327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.146090593,1 +150329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.55221066,1 +150328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.8885838,1 +150330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.0211757,1 +150333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.80949575,1 +150332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.241487401,1 +150334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.172238832,1 +150335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.648313629,1 +150331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.759490917,1 +150336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.788989418,1 +150337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.209842694,1 +150338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.463645488,1 +150340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.990118096,1 +150339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.066527095,1 +150341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.748313521,1 +150342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.457035159,1 +150344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.419537967,1 +150345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.971512641,1 +150343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.711670517,1 +150346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.24027026,1 +150347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.871947188,1 +150348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.353472722,1 +150349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.902232542,1 +150351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.807388004,1 +150352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.723580012,1 +150353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.932611065,1 +150354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.613554924,1 +150355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.015837884,1 +150350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.453899242,1 +150356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.941622269,1 +150357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.176713813,1 +150359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.03645867,1 +150358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.499480265,1 +150360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.386193902,1 +150361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.10893006,1 +150362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.969871224,1 +150363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.982937701,1 +150364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.707375177,1 +150365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.416399263,1 +150366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.253366733,1 +150367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.693895664,1 +150368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.164839779,1 +150369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.372066358,1 +150371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.917695799,1 +150372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.226039459,1 +150373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.984205326,1 +150370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.197563685,1 +150374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.205146648,1 +150375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.318019865,1 +150376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.214208315,1 +150377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.305045937,1 +150378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.933704595,1 +150380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.027164559,1 +150379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.632549281,1 +150381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.650198458,1 +150382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.245359908,1 +150383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.801587591,1 +150385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.092460184,1 +150386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.53053578,1 +150384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.259802214,1 +150387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.141896959,1 +150388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.785900519,1 +150389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.058643,1 +150391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.760590173,1 +150393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.379387274,1 +150392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.929311614,1 +150394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.037542469,1 +150390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.858832213,1 +150396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.153618539,1 +150395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,1.792592237,1 +150397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.386177438,1 +150399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.010800618,1 +150400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.561023629,1 +150398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.777595169,1 +150401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.499022484,1 +150402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.555606743,1 +150403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.893887487,1 +150405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.054033822,1 +150404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.481777877,1 +150406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.352753133,1 +150407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.480184502,1 +150408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.617223688,1 +150409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.629970038,1 +150410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.53762645,1 +150411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.055916559,1 +150412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.509204101,1 +150414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.583375584,1 +150415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.661325854,1 +150416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.353927788,1 +150417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.486821196,1 +150418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.834183152,1 +150413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.847259333,1 +150419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.43401853,1 +150420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.601355803,1 +150422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.283154483,1 +150421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.990941257,1 +150423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.065849168,1 +150424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.324370524,1 +150425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.224270765,1 +150426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.093126234,1 +150427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.853536187,1 +150428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.129860513,1 +150430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.153206184,1 +150429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.847038666,1 +150432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.406684209,1 +150431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.256161565,1 +150433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.388894894,1 +150434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.383242801,1 +150435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.29574469,1 +150436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.348424974,1 +150438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.830494776,1 +150439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.747226028,1 +150440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.963583414,1 +150441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.448476844,1 +150442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.510264758,1 +150443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.461062048,1 +150437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.863436959,1 +150445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.211141856,1 +150446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.998424371,1 +150444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,1.302444435,1 +150447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.801390743,1 +150449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.335222463,1 +150448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.37081458,1 +150451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.113805145,1 +150450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.794885261,1 +150452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.782647688,1 +150453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.794242823,1 +150455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.322414094,1 +150454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.731208989,1 +150456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.535340658,1 +150457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.212133384,1 +150460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.039824206,1 +150461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.9064847,1 +150458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.330963347,1 +150459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.43759246,1 +150462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.958888613,1 +150464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.802351095,1 +150465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.604023641,1 +150463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.00226544,1 +150466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.356298431,1 +150467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.131243811,1 +150468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.298778157,1 +150469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.09553732,1 +150470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.64532277,1 +150472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.332595463,1 +150471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.561562909,1 +150473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.650178716,1 +150474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.304199184,1 +150475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.387941643,1 +150477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.494981919,1 +150476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.84882041,1 +150478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.157517974,1 +150480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.95232405,1 +150481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.821249578,1 +150479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.483970393,1 +150482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.204817644,1 +150483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.755961661,1 +150486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.266869766,1 +150485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.007287099,1 +150487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.446901283,1 +150488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.487764247,1 +150489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.390805333,1 +150490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.658090898,1 +150484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.971532249,1 +150492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.380262879,1 +150491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.435693654,1 +150493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.437710671,1 +150494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.623300535,1 +150496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.804833501,1 +150498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.051459797,1 +150495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.957337041,1 +150497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.900980344,1 +150499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.711770006,1 +150500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.390787065,1 +150501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.088808209,1 +150502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.031370722,1 +150503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.993267388,1 +150505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.403068432,1 +150506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.634031614,1 +150507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.81991102,1 +150508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.273122697,1 +150509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.341882634,1 +150504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.181136398,1 +150510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.107681044,1 +150511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.920599307,1 +150513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.732589473,1 +150512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.315383326,1 +150514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.163641139,1 +150515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.703371914,1 +150516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.37366934,1 +150517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.100193799,1 +150518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.803450001,1 +150519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.308890655,1 +150521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.338420464,1 +150520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.106862292,1 +150522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.880487439,1 +150523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.655219175,1 +150524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.509242346,1 +150526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.393890384,1 +150527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.437169358,1 +150525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.640473622,1 +150528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.759015585,1 +150529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.247559886,1 +150530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.900068038,1 +150533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.269269031,1 +150532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.681923886,1 +150534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.844472454,1 +150531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.741855628,1 +150535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.697059689,1 +150536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.728539574,1 +150537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.856102051,1 +150538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.976426575,1 +150539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.398634641,1 +150540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.261137034,1 +150541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.460045994,1 +150543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.769405946,1 +150542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.000892115,1 +150544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.688642451,1 +150545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,1.992394071,1 +150546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.8061306,1 +150547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.68918948,1 +150548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.01145803,1 +150549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.223291671,1 +150550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.967339448,1 +150552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.657613329,1 +150551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.475556834,1 +150553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.913765884,1 +150554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.06767746,1 +150555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.304243903,1 +150556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.666558049,1 +150557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.645213567,1 +150558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.822114548,1 +150559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.844187407,1 +150561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.523952411,1 +150562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.993040211,1 +150563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.213277481,1 +150564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.851316243,1 +150565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.844243022,1 +150560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.07616928,1 +150566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.533775496,1 +150567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.084352047,1 +150568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.169828687,1 +150569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.806559175,1 +150570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.577205828,1 +150572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,8.313076574,1 +150571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.354104344,1 +150573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.71582946,1 +150574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.460901399,1 +150575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.027991232,1 +150577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.331464362,1 +150578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.380153106,1 +150576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.358073237,1 +150579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.040815379,1 +150581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.649579563,1 +150583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.977422909,1 +150582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.232692221,1 +150584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.581798211,1 +150585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.32615623,1 +150586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.804646681,1 +150580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.158693981,1 +150587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.160698654,1 +150589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.941123111,1 +150588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.441208453,1 +150590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.171445968,1 +150592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.579209144,1 +150593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.839790753,1 +150591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.78476819,1 +150594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.429015983,1 +150596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.666342218,1 +150597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.730318999,1 +150598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.171033483,1 +150599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,9.019446248,1 +150595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.955121363,1 +150600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.388283938,1 +150602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.678666756,1 +150603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.009077046,1 +150604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.771928783,1 +150601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.649024741,1 +150606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.444586805,1 +150608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.334986142,1 +150607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.393139422,1 +150605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.348526354,1 +150609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.265593372,1 +150610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.360824623,1 +150612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.018226402,1 +150611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.964140663,1 +150614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.484379614,1 +150615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.591508046,1 +150616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.378897027,1 +150613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.987585101,1 +150617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.066311722,1 +150619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.587724558,1 +150620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.269664599,1 +150618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.382356445,1 +150623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.39094609,1 +150622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.470668712,1 +150621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.807735893,1 +150624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.08375916,1 +150626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.646484322,1 +150625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.965620563,1 +150627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.393931513,1 +150628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.304996496,1 +150629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.551440421,1 +150631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.725111625,1 +150632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.357544866,1 +150630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.651026023,1 +150633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.038992807,1 +150634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.852122415,1 +150636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.830395552,1 +150635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.931896248,1 +150638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.870652924,1 +150637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.89274796,1 +150639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.151088223,1 +150640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.782829273,1 +150641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.861879487,1 +150642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.620318559,1 +150643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.527669269,1 +150644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.85018952,1 +150645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.04832144,1 +150646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.775813316,1 +150649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.33263441,1 +150650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.376812703,1 +150648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.870896069,1 +150647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.748247601,1 +150651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.308441391,1 +150653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.758484237,1 +150652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.795217569,1 +150654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.875722178,1 +150655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.872359628,1 +150656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.741229708,1 +150657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.839583396,1 +150658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.074789927,1 +150659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.895052299,1 +150662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.24126046,1 +150661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.705742624,1 +150660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.157413161,1 +150663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.013808893,1 +150665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.389318726,1 +150666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.162320714,1 +150664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.440246589,1 +150667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.858302032,1 +150668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.266817386,1 +150671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.069617553,1 +150670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.749279092,1 +150672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.538532333,1 +150673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.620826794,1 +150674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.129652614,1 +150669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.215084798,1 +150675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.295914309,1 +150676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.363104633,1 +150677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.953280992,1 +150681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.955583269,1 +150680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.504031782,1 +150679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.480964035,1 +150678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.693663791,1 +150684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.380207703,1 +150685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.010483969,1 +150682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.080545282,1 +150683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.726210759,1 +150686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.661993769,1 +150687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.226212463,1 +150688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.166636377,1 +150689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.337110001,1 +150690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.163238439,1 +150692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.697934043,1 +150693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.01026674,1 +150694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.12817443,1 +150695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.297926437,1 +150696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.241787608,1 +150691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.721501446,1 +150697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.945379326,1 +150699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.157725357,1 +150698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.371687433,1 +150700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.116529973,1 +150702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.208952814,1 +150701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.278652097,1 +150703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.251749395,1 +150704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.291369315,1 +150705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.184555907,1 +150706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.814717544,1 +150707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.994717309,1 +150709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.055091263,1 +150708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.355307323,1 +150710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.938559541,1 +150711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.794993531,1 +150712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.801804377,1 +150714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.669437916,1 +150715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.075910304,1 +150713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.935763166,1 +150716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.083151868,1 +150717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.402850001,1 +150718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.506233273,1 +150719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.052074163,1 +150720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.81264654,1 +150721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.192077655,1 +150722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.961058139,1 +150723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.102144645,1 +150724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.894559917,1 +150725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.137602991,1 +150726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.231915234,1 +150728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.886880902,1 +150727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.969200892,1 +150730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.691139804,1 +150729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.716606754,1 +150732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.036185797,1 +150731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.578253188,1 +150733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.620495524,1 +150734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.814145,1 +150736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.301119716,1 +150735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.624927455,1 +150737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.098766247,1 +150738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.011069127,1 +150739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.52887384,1 +150740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.241690596,1 +150741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.750410382,1 +150742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.100803238,1 +150743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.60551288,1 +150745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.851344793,1 +150744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.045490937,1 +150747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.995152331,1 +150748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.480812035,1 +150750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.993346741,1 +150751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.968248334,1 +150749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.90783269,1 +150746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.012793484,1 +150752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.349146524,1 +150753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.170295243,1 +150754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.205779072,1 +150756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.751180172,1 +150757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.66237004,1 +150755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.634114079,1 +150758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.665634202,1 +150761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.779945377,1 +150759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.273751671,1 +150760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.570991588,1 +150763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.050628512,1 +150762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.541858796,1 +150764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.421190442,1 +150765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.629036846,1 +150766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.401390659,1 +150768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.892190943,1 +150769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.421386967,1 +150767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,8.417740855,1 +150771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.190193814,1 +150772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.934398991,1 +150773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.585322372,1 +150770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.085940455,1 +150774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.41160372,1 +150775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.022542764,1 +150777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.238745987,1 +150776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.459373703,1 +150778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.714094263,1 +150780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.073743337,1 +150779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.129073788,1 +150783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.817547396,1 +150782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.255359468,1 +150784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.720537284,1 +150781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.357480151,1 +150786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.666685388,1 +150787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.646169879,1 +150789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.5310235,1 +150788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.349157986,1 +150785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.920821241,1 +150790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.48389576,1 +150793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.335443665,1 +150792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.92579711,1 +150794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.111768309,1 +150791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.148742943,1 +150795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.105557122,1 +150796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,1.15388975,1 +150797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.570494402,1 +150798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.001772675,1 +150799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.9859659,1 +150801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.004384593,1 +150803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.868139165,1 +150802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.525495374,1 +150804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.466552332,1 +150806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.806316745,1 +150800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.968124217,1 +150805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.458225329,1 +150808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.292171067,1 +150810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.433398151,1 +150809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.857307659,1 +150807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.772544539,1 +150812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.104355642,1 +150811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.813416396,1 +150814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.34019062,1 +150813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.977213496,1 +150815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.679121082,1 +150816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.891729259,1 +150817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.304157301,1 +150818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.108717252,1 +150820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.799957974,1 +150821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.486009074,1 +150819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.746057706,1 +150822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.972768613,1 +150825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.052084413,1 +150824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.474885138,1 +150823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.044083899,1 +150826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.299486791,1 +150827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.432428828,1 +150828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.478439947,1 +150830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.622338217,1 +150829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.902771728,1 +150831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.933057586,1 +150833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.420537159,1 +150832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.210048423,1 +150834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.409522451,1 +150835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.33044353,1 +150837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.462564886,1 +150838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.413156296,1 +150836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.893371037,1 +150840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.021875412,1 +150839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.559152603,1 +150841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.585314169,1 +150842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.439403412,1 +150843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.734694764,1 +150844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.511966182,1 +150845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.847140381,1 +150846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.937428293,1 +150849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.868765948,1 +150848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.507112565,1 +150850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.25630314,1 +150847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.522827679,1 +150852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.195359122,1 +150851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.460904946,1 +150853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.946005219,1 +150854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.994452671,1 +150855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.658715355,1 +150856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.344505257,1 +150857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.429928166,1 +150858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.235247123,1 +150860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.742821056,1 +150861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.088863498,1 +150859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.868761949,1 +150862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.73518501,1 +150863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.743112137,1 +150864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.122301884,1 +150865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.873233663,1 +150867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.258721235,1 +150868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.512601318,1 +150866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.125236352,1 +150869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.015925527,1 +150870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.902941692,1 +150871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.97385707,1 +150872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.609846776,1 +150873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.388138988,1 +150874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.308325667,1 +150875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.262318901,1 +150876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.097267991,1 +150878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.0085626,1 +150879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.357031695,1 +150877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.41908589,1 +150880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.057231441,1 +150881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.132766676,1 +150882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.906431936,1 +150883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.309271121,1 +150885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.366748865,1 +150884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.943079159,1 +150886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.841017466,1 +150887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.47218473,1 +150888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.450193305,1 +150889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.489121068,1 +150890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.99418071,1 +150892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.530057559,1 +150891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.429058697,1 +150894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.407770699,1 +150893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.582205903,1 +150895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.662481708,1 +150897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.446938693,1 +150896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.44743215,1 +150899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.422721767,1 +150900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.836030948,1 +150902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.256136327,1 +150901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.047196818,1 +150898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.73524425,1 +150903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.919719586,1 +150905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.491140998,1 +150904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.774968687,1 +150907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.549525802,1 +150906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.224369917,1 +150908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.426305016,1 +150909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.421403632,1 +150910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.713579692,1 +150911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.41244477,1 +150913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.436008513,1 +150912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.963364049,1 +150914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.696819162,1 +150916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.228900226,1 +150915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.187613182,1 +150917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.303227097,1 +150918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.955268161,1 +150921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.611620258,1 +150919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.687598865,1 +150920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.489845527,1 +150922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.618395787,1 +150924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.553571989,1 +150923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.917634289,1 +150925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.510831483,1 +150926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.754286654,1 +150927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.876053266,1 +150931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.310071138,1 +150930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.100452239,1 +150929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.007611371,1 +150928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.285247171,1 +150934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.741987371,1 +150932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.03501926,1 +150935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.275970453,1 +150933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.186466274,1 +150937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.733449602,1 +150936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.69639063,1 +150939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.300597247,1 +150938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.914616365,1 +150940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.924223647,1 +150941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.897513999,1 +150942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.592246302,1 +150945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.790221967,1 +150943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.882103383,1 +150944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.769087641,1 +150946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.223672611,1 +150947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.282995316,1 +150949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.411466681,1 +150948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.416875202,1 +150950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.711740674,1 +150951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.541961553,1 +150952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.138840132,1 +150954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.051366713,1 +150953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.072362763,1 +150955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,8.017049827,1 +150956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.369133873,1 +150957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.437122449,1 +150958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.497271079,1 +150959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.208728557,1 +150960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.817078808,1 +150961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.775716033,1 +150963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.479802706,1 +150964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.186757867,1 +150965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,2.776358677,1 +150966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.468725942,1 +150962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.773870519,1 +150967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.063272582,1 +150968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.403122002,1 +150969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.375800057,1 +150971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.57084617,1 +150972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.255185682,1 +150973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.968487786,1 +150970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.345574424,1 +150974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.882325177,1 +150975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.820118542,1 +150976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.024453332,1 +150977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.13670604,1 +150978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.730689215,1 +150980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,6.160081165,1 +150979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.112778006,1 +150981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.514924519,1 +150982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.551854643,1 +150983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.232096213,1 +150984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.883771486,1 +150986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,8.367932696,1 +150987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.414771646,1 +150988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.119642582,1 +150989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.39078444,1 +150985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.703010088,1 +150991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,8.019139721,1 +150990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,8.185656688,1 +150993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.157778889,1 +150992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,3.178722219,1 +150994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.024145483,1 +150995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.245918044,1 +150997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,7.057944155,1 +150998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,5.044863383,1 +150996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.010793314,1 +150999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.780654428,1 +151000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,1,1,4.20436572,1 +160002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.335767801,1 +160001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.776496908,1 +160003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.913147571,1 +160004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.945215653,1 +160005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.950556785,1 +160007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.51524987,1 +160008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.877574647,1 +160009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.454953878,1 +160006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.419669407,1 +160010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.7208748,1 +160011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.999434509,1 +160012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.421643023,1 +160013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.467983153,1 +160014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.137679395,1 +160015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.068242666,1 +160016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.057474212,1 +160017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.687472155,1 +160019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.690826957,1 +160018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.298025543,1 +160020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.561270295,1 +160021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.726546085,1 +160022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.788316627,1 +160023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.856094635,1 +160024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.076572969,1 +160025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.398108686,1 +160026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.182381709,1 +160028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.94738122,1 +160027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.308636412,1 +160030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.128222066,1 +160029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.18270271,1 +160032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.138518604,1 +160033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.499180487,1 +160034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.167362528,1 +160031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,9.656129528,1 +160035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.575975298,1 +160036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.878764222,1 +160037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.120671969,1 +160039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.882859905,1 +160038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.149982515,1 +160041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.533048413,1 +160040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.090660083,1 +160043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.193124632,1 +160044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.781202389,1 +160042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.157750685,1 +160045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.843772937,1 +160047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.828870394,1 +160048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.370696907,1 +160046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.957646615,1 +160049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.835793885,1 +160050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.128785381,1 +160051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.269902128,1 +160053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,8.25408469,1 +160054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.665948958,1 +160052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.598186153,1 +160055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.139960852,1 +160058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.241528616,1 +160059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.738981249,1 +160057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.001657008,1 +160060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.226668435,1 +160056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.825418068,1 +160062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,8.746535517,1 +160064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.884678541,1 +160061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.309740497,1 +160065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.538765832,1 +160066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.785355604,1 +160067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.23766836,1 +160063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.070914301,1 +160068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.137514023,1 +160069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.7564238,1 +160070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.888820088,1 +160071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.774668747,1 +160072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.218744132,1 +160074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.034801824,1 +160075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.823097649,1 +160076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.454373552,1 +160078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.603910956,1 +160073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.319060918,1 +160079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.711198536,1 +160080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.180959763,1 +160081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.009806924,1 +160082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.478419995,1 +160077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.778184533,1 +160084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.965381571,1 +160086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.745409983,1 +160083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.231978894,1 +160087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.705744551,1 +160085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.839759018,1 +160088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.918863441,1 +160089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.804085265,1 +160091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.802266438,1 +160092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.220435364,1 +160093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.778041969,1 +160094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.859304183,1 +160095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.629457884,1 +160096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.89857103,1 +160090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.391519378,1 +160097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.64988502,1 +160100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.581493224,1 +160101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.726777336,1 +160098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.171916014,1 +160099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.660940807,1 +160102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.808649411,1 +160104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.803753547,1 +160105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.113515549,1 +160106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.534067582,1 +160107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.906958861,1 +160103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.827950963,1 +160108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.582286492,1 +160110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.133703146,1 +160111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.301307548,1 +160112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.025649309,1 +160109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.004658701,1 +160114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.860298108,1 +160115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.514370269,1 +160116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.701422561,1 +160117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.328690292,1 +160113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.957564425,1 +160119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.103611119,1 +160121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.572161848,1 +160120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.813922936,1 +160118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.170085986,1 +160122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.138056976,1 +160123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.877414825,1 +160124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.805556099,1 +160125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.989820825,1 +160127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.789423031,1 +160128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.025632981,1 +160129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.261295944,1 +160126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.303818255,1 +160131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.501710064,1 +160132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.792737363,1 +160130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.292374128,1 +160133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.79393937,1 +160134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.70851425,1 +160135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.61716734,1 +160136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.371942037,1 +160137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.110488066,1 +160140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.666308632,1 +160139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.762547678,1 +160138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.286310401,1 +160142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.15259323,1 +160143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.27100428,1 +160141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.355038305,1 +160144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.314991344,1 +160145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.566472566,1 +160146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.048131617,1 +160148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.023858524,1 +160147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.105906329,1 +160150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.844990239,1 +160149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.395525053,1 +160151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.875240235,1 +160152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.879983102,1 +160154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.274195855,1 +160153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.213796389,1 +160155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.011918364,1 +160156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.613356206,1 +160158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.66217325,1 +160157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.497159594,1 +160159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.60399034,1 +160161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.415161173,1 +160162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.414286661,1 +160163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.104488674,1 +160160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.899219055,1 +160164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.058501868,1 +160165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.946421115,1 +160167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.445613835,1 +160168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.408474888,1 +160169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.499350125,1 +160166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.045978762,1 +160170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.23743447,1 +160171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.223732013,1 +160172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.723703758,1 +160173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.582372901,1 +160175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.698549824,1 +160176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.679576624,1 +160174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.074626963,1 +160178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.414715039,1 +160177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.955863953,1 +160179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.742985571,1 +160180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.417346868,1 +160181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,8.63582437,1 +160182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.88527942,1 +160183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.54810504,1 +160184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.446894231,1 +160185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.191248611,1 +160186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.618242896,1 +160187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.289018212,1 +160188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.883852704,1 +160190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.56370419,1 +160191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.66818534,1 +160193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.047497813,1 +160192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.402035533,1 +160189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.819114819,1 +160194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.024078962,1 +160195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.456670469,1 +160197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.508973613,1 +160196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.21831888,1 +160198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.205909138,1 +160200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.248935192,1 +160199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.529883819,1 +160201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.544531714,1 +160202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.001555339,1 +160203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.844537691,1 +160204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.789796221,1 +160205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.904711155,1 +160207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.03203774,1 +160206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.656756345,1 +160209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.991505246,1 +160211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.44990256,1 +160208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.723854865,1 +160212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,8.367775768,1 +160210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.594397394,1 +160214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.992127179,1 +160215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.399157325,1 +160216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.612086705,1 +160213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.294677102,1 +160217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.15105327,1 +160218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.236202349,1 +160219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.454085395,1 +160223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.619975825,1 +160222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.774680543,1 +160221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.667918799,1 +160220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.023160933,1 +160227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.06901895,1 +160226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.701488185,1 +160225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.93299398,1 +160224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.606417389,1 +160230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.346990478,1 +160228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.667343264,1 +160229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.790751186,1 +160231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.122862931,1 +160232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.195731455,1 +160235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.029465123,1 +160234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.413419006,1 +160237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.199270717,1 +160236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.598575707,1 +160238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.756014213,1 +160233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.602558924,1 +160239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.075779725,1 +160240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.538104008,1 +160242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.953401535,1 +160241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.836994475,1 +160243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.824310253,1 +160244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.073567632,1 +160246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.482826755,1 +160245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.01755421,1 +160247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.314194059,1 +160248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.962616984,1 +160249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.115199775,1 +160251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.086671653,1 +160252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.887459452,1 +160253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.506918411,1 +160254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.351193633,1 +160255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.935122375,1 +160250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.658718076,1 +160256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.98200073,1 +160257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.479669715,1 +160259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.097408333,1 +160258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.048670314,1 +160261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.402468741,1 +160260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.523684569,1 +160263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.339876778,1 +160262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.46289029,1 +160265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.537313513,1 +160264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.756735804,1 +160266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.207996468,1 +160267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.667880823,1 +160268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.228117555,1 +160270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.429996993,1 +160269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.570769117,1 +160272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.463931986,1 +160273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.676810881,1 +160274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.487951508,1 +160271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.903675355,1 +160275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.760551533,1 +160276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.376886778,1 +160277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.90768254,1 +160279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.225929897,1 +160278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.854478705,1 +160281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.108542428,1 +160282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.111844778,1 +160283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.364223275,1 +160280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.734457862,1 +160286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.20876524,1 +160284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.81959678,1 +160285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.302065124,1 +160287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.426203654,1 +160288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.080995736,1 +160289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.759644951,1 +160290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.677606747,1 +160291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.752309512,1 +160294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.526187956,1 +160292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.306152998,1 +160295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.405082008,1 +160293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,9.07140729,1 +160297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,1.353296487,1 +160298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.251890238,1 +160299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.431805944,1 +160296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.159050302,1 +160300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.530762699,1 +160301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.263202661,1 +160302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.768997464,1 +160303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.429569054,1 +160304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.577527136,1 +160305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.357967804,1 +160306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.568218525,1 +160307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.156235626,1 +160308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.070898959,1 +160309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.069989037,1 +160312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.800622769,1 +160311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.37607036,1 +160310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.837214896,1 +160313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.465055687,1 +160314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.50049006,1 +160316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.7573456,1 +160317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.024197398,1 +160315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,8.09927611,1 +160318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.20241805,1 +160320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.265212227,1 +160321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.736861997,1 +160322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.698976813,1 +160323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.94078219,1 +160319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.48104211,1 +160324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.495582584,1 +160325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.631065524,1 +160328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.84467531,1 +160327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.909089444,1 +160329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.253588793,1 +160326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.399661125,1 +160331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.124471843,1 +160330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.828504813,1 +160333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.312583349,1 +160332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.456708585,1 +160334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.418226318,1 +160335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.820312876,1 +160336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.540460224,1 +160337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.558444122,1 +160339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.413060834,1 +160341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.743906814,1 +160338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.742683887,1 +160342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.26422761,1 +160340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.951061044,1 +160343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.954283129,1 +160344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.796510451,1 +160345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.76412334,1 +160347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.563000717,1 +160346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.862732861,1 +160348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.879116886,1 +160349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.92895866,1 +160350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.453565813,1 +160351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.774845196,1 +160352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.320590166,1 +160353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.133902723,1 +160354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.046838986,1 +160355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.573661927,1 +160357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.145999045,1 +160359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.255107237,1 +160356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.967399986,1 +160360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.759813,1 +160361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.451229915,1 +160358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.439592013,1 +160362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.996972259,1 +160363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.188514437,1 +160364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.221919448,1 +160365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.801471145,1 +160366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.107102236,1 +160367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.009686444,1 +160368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.651221081,1 +160369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.430828606,1 +160370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.765120445,1 +160372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.453072644,1 +160371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.145408939,1 +160373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.956766851,1 +160375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.32415838,1 +160376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.024028888,1 +160374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.10025561,1 +160377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.311398869,1 +160379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.796797698,1 +160378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.113896131,1 +160381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.419807894,1 +160380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.382168515,1 +160382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.9403838,1 +160383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.105003402,1 +160384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.116130942,1 +160385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.938534682,1 +160386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.914252074,1 +160387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.473595293,1 +160388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.265282898,1 +160389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.835581201,1 +160390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.230071417,1 +160391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.731839261,1 +160392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.51726156,1 +160394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.946168945,1 +160393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.094184594,1 +160395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.201811962,1 +160396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.594774537,1 +160399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.175111248,1 +160398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.600839244,1 +160400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.662765968,1 +160401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.571140286,1 +160402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.344226596,1 +160403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.26559918,1 +160397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.423084959,1 +160404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.301207176,1 +160406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.993624925,1 +160405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.086031878,1 +160407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.380885259,1 +160408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.097449833,1 +160409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.745750382,1 +160410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.113501355,1 +160411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.678606442,1 +160412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.663367885,1 +160413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.861138904,1 +160415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.851496684,1 +160414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.081391477,1 +160416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.554880434,1 +160417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.239203522,1 +160420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.888866568,1 +160421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.466597153,1 +160419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.653968108,1 +160422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.771768273,1 +160423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.222216235,1 +160418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.714390188,1 +160427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.817752188,1 +160424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.508930054,1 +160426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.805002374,1 +160425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.66435025,1 +160428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.674169077,1 +160430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.43261555,1 +160431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.123586513,1 +160432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.842269127,1 +160433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.961196241,1 +160434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.553103585,1 +160429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.611248584,1 +160436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.531511223,1 +160437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.863434911,1 +160435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.296622791,1 +160438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.927448663,1 +160441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.557740102,1 +160442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.181122786,1 +160439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.144161909,1 +160440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.656780974,1 +160443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.485935004,1 +160444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.125376402,1 +160445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.758108702,1 +160446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.906915923,1 +160447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.776615555,1 +160449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.800802002,1 +160450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.328694892,1 +160451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.975305407,1 +160452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.319262462,1 +160448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.612127496,1 +160453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.80045183,1 +160456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.499628117,1 +160457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.425085617,1 +160455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.763124938,1 +160454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.060581641,1 +160459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.906265186,1 +160458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.186115195,1 +160460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.160299753,1 +160461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.029343612,1 +160462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.647043992,1 +160463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.099744612,1 +160464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.493466889,1 +160465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.208216313,1 +160467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.416895207,1 +160468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.19885572,1 +160469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.713247592,1 +160470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.768745073,1 +160466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.943729405,1 +160471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.441478625,1 +160474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.57410495,1 +160475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.456544281,1 +160472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.836611102,1 +160473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.399833916,1 +160477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.406456954,1 +160478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.755234069,1 +160479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.383927896,1 +160476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.460210115,1 +160480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.830505874,1 +160481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.497213,1 +160482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.812457321,1 +160484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.764418716,1 +160485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.175471837,1 +160486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.443316675,1 +160483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.911153756,1 +160490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.275227858,1 +160489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.312340276,1 +160487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.777285478,1 +160488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.411520753,1 +160493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.806282455,1 +160492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.605297924,1 +160494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.602640618,1 +160491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,8.663320812,1 +160495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.549004765,1 +160496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.168367097,1 +160497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.287464352,1 +160498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.291570768,1 +160499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.781339441,1 +160500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.586365687,1 +160501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.729754733,1 +160502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.363502643,1 +160503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.670430519,1 +160504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.496038886,1 +160506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.258943019,1 +160507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.395957649,1 +160508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.61627998,1 +160505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.552304325,1 +160509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.597700402,1 +160510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.520250659,1 +160511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.514791344,1 +160512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.284873236,1 +160514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.619965189,1 +160513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.675331354,1 +160515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.618093968,1 +160517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,9.003742704,1 +160516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.230138936,1 +160519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.967594662,1 +160518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.069747485,1 +160520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,1.810036189,1 +160521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.86276907,1 +160522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.418724816,1 +160523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.024773879,1 +160524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.199012733,1 +160526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.271891109,1 +160527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.341572599,1 +160528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.21042468,1 +160529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.763608316,1 +160525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.475130038,1 +160530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.358710522,1 +160531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.716134446,1 +160532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.947067866,1 +160533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.565612775,1 +160535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.936317463,1 +160534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.02866475,1 +160536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,8.841362506,1 +160537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.836093565,1 +160538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.152431432,1 +160539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.624080284,1 +160541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.288338395,1 +160542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.719908686,1 +160540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.291060087,1 +160543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.122576362,1 +160545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.108015768,1 +160546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.503787299,1 +160544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.288236411,1 +160547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.415403006,1 +160549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.307154188,1 +160548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.83902279,1 +160550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,8.797916839,1 +160551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.157388572,1 +160553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.122355649,1 +160554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.139344884,1 +160552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.899718659,1 +160556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.028936908,1 +160555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.476038825,1 +160557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.565676695,1 +160559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.141987841,1 +160560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.889488928,1 +160561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.279850468,1 +160558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.583596061,1 +160562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.463677698,1 +160563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.249889746,1 +160565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.319184505,1 +160567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.477950547,1 +160564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.054308699,1 +160568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.108905614,1 +160566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.238457544,1 +160569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.152558155,1 +160570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.593663715,1 +160572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.353231329,1 +160574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.178202906,1 +160573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.759542846,1 +160575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.640508881,1 +160571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.13891194,1 +160576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.98945569,1 +160578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.438238915,1 +160577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.097336579,1 +160579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.240947088,1 +160580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.275247047,1 +160581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.831846167,1 +160582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.856066495,1 +160583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.955121348,1 +160585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.752191358,1 +160584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.63668038,1 +160586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.94931363,1 +160587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.744279306,1 +160589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.621872211,1 +160588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.984115752,1 +160590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.319335778,1 +160592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.771400252,1 +160593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.446857501,1 +160594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.310012249,1 +160595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.558067282,1 +160596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.68315211,1 +160591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.477126601,1 +160598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.986882659,1 +160599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.244833149,1 +160600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.196206506,1 +160601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.914808783,1 +160602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.889990141,1 +160603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.478534412,1 +160597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.040259932,1 +160605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.886318772,1 +160604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.832726471,1 +160606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.56649991,1 +160608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.007164902,1 +160609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.929755901,1 +160607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.429752837,1 +160610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.482848946,1 +160611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.568018912,1 +160613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,8.174069285,1 +160612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.11475428,1 +160614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.808987256,1 +160615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.003596525,1 +160617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.956916346,1 +160618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.490582251,1 +160616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.796047155,1 +160619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.542687524,1 +160620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.351156189,1 +160621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.635530435,1 +160623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.124410371,1 +160624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.421495846,1 +160622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.570093426,1 +160625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.624642696,1 +160626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.887121274,1 +160627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.194277511,1 +160628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.316147254,1 +160629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.080233536,1 +160630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.396376131,1 +160632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.903612689,1 +160631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.911388442,1 +160633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.899449718,1 +160634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.796321162,1 +160636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.000777315,1 +160637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.451256231,1 +160638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.605514609,1 +160639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.908898173,1 +160635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.288311003,1 +160641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.394144985,1 +160640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.70135611,1 +160642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.18339105,1 +160643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.962099168,1 +160645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.853637195,1 +160644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.244792738,1 +160646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.990301933,1 +160647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.780238789,1 +160648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.215631289,1 +160649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.522448014,1 +160650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,8.275736606,1 +160651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.351118987,1 +160652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.979503024,1 +160653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.263428373,1 +160654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.429366936,1 +160657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.93138268,1 +160656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.460365223,1 +160658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.031983331,1 +160655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.874998854,1 +160660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.5196342,1 +160661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.558880686,1 +160662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.658797731,1 +160663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.317867048,1 +160664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.513013552,1 +160659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.721761057,1 +160666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,9.489753764,1 +160665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.618551344,1 +160667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.120938622,1 +160668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.480475957,1 +160669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.611222544,1 +160671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.751277707,1 +160672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.972775683,1 +160670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.911415793,1 +160673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.075666144,1 +160674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.057212655,1 +160675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.168122314,1 +160676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.598934061,1 +160677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.328511025,1 +160678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.326362605,1 +160681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.730008172,1 +160680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.393223189,1 +160682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.84507847,1 +160679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.455786586,1 +160683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.02120865,1 +160684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.458513844,1 +160685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.303763759,1 +160686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.845733639,1 +160687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.538907655,1 +160688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.272021241,1 +160689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.187407589,1 +160690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.219600094,1 +160691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.983309239,1 +160692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.474231317,1 +160693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.884913319,1 +160694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.957372602,1 +160695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.60861168,1 +160696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.396820415,1 +160697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.811820374,1 +160699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.381914211,1 +160698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.769798881,1 +160700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.543038925,1 +160701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.81480737,1 +160703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.379172729,1 +160702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.237678091,1 +160705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.040875537,1 +160706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.634251774,1 +160707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.301056049,1 +160704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.747139059,1 +160708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.463094845,1 +160709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.956921476,1 +160710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.925622255,1 +160711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.269054467,1 +160712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.826616518,1 +160713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.208454897,1 +160714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.979957994,1 +160715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.3320145,1 +160716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.747112069,1 +160718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.036241561,1 +160719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.936074769,1 +160717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.921019984,1 +160720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.914772842,1 +160722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.274084423,1 +160723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.642372958,1 +160724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.947889141,1 +160725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.391417013,1 +160726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.085160817,1 +160721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.196000371,1 +160727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.86955594,1 +160728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.241256924,1 +160729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.861915119,1 +160731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.599979754,1 +160730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.351984244,1 +160733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.629107113,1 +160732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.773448461,1 +160734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.23873187,1 +160735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.433045703,1 +160737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.88126922,1 +160739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.300729531,1 +160736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.334214109,1 +160740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.044340275,1 +160738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.82693613,1 +160742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.239405821,1 +160743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.784256903,1 +160745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.090771124,1 +160744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.318980879,1 +160746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.20910331,1 +160741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.02634578,1 +160747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.873282615,1 +160748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.582652012,1 +160750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.591675465,1 +160749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.353004123,1 +160752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.485095223,1 +160754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.734739386,1 +160751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.481809081,1 +160753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.127368484,1 +160756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.853838996,1 +160757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.271185914,1 +160755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.312238981,1 +160758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.413589928,1 +160759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.48139165,1 +160760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.614419585,1 +160761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.015188403,1 +160764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.664519819,1 +160763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.271694468,1 +160765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.781233699,1 +160762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.462212713,1 +160766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.385474219,1 +160768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.89714883,1 +160767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.121476146,1 +160769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.165951152,1 +160771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.625307168,1 +160772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.652089251,1 +160773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.152873114,1 +160775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.219357481,1 +160770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.243527037,1 +160776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.681104951,1 +160777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.756259314,1 +160774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.300201156,1 +160778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.694819668,1 +160781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.659725949,1 +160782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.22758641,1 +160779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.734293761,1 +160780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.155460864,1 +160784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.583135691,1 +160783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.789135966,1 +160785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.280123932,1 +160786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.923238544,1 +160788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.726817591,1 +160789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.193189246,1 +160790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.069655861,1 +160787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.480252551,1 +160793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.243060522,1 +160792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.192974699,1 +160794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.041806146,1 +160791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.27076633,1 +160797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.17453154,1 +160795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.859072118,1 +160798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.866414625,1 +160796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.858134039,1 +160799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.045680225,1 +160800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.776929894,1 +160802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,9.167413412,1 +160801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.65393805,1 +160804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.110944184,1 +160805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.235339767,1 +160806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.227173181,1 +160807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.144816605,1 +160803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.766602781,1 +160809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.051594193,1 +160811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.49083124,1 +160810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.276264347,1 +160808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.723582676,1 +160813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.861185716,1 +160815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.405038352,1 +160814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.417587312,1 +160816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.027194107,1 +160817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.321328766,1 +160818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.429024794,1 +160812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.360022075,1 +160820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.207645249,1 +160819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.914128871,1 +160821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.730369936,1 +160823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.144920111,1 +160825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.504595036,1 +160822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.983754202,1 +160824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.315904019,1 +160828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.138780267,1 +160829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.454758939,1 +160827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.874831695,1 +160826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.283033613,1 +160831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.90089427,1 +160830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.498986071,1 +160832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.822805275,1 +160833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.770664731,1 +160834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.056505396,1 +160836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.313076109,1 +160837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.944852061,1 +160839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.114372242,1 +160840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.973663089,1 +160835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.224632335,1 +160838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.50323582,1 +160841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.431748682,1 +160843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.599911916,1 +160842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.405134144,1 +160844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.821145053,1 +160846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.344442201,1 +160845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.627193392,1 +160847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.25405627,1 +160848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.607784304,1 +160850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.746336231,1 +160851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.792153267,1 +160852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.443759634,1 +160853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.862373548,1 +160854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.201700112,1 +160849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.067452367,1 +160855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.636886295,1 +160856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.791352428,1 +160857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,1.723020076,1 +160858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.422334047,1 +160859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.502118837,1 +160860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.247939752,1 +160861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.451068153,1 +160862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.282347423,1 +160863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.000597575,1 +160864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.262558177,1 +160865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.978398752,1 +160866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.939422159,1 +160867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.579593195,1 +160868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.184800242,1 +160869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.48542042,1 +160872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.957989956,1 +160870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.534617075,1 +160871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.291727627,1 +160873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.89288049,1 +160874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.133629138,1 +160876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.892935052,1 +160877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.58941667,1 +160875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.184552925,1 +160878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.691060776,1 +160879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.819585537,1 +160881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.427975853,1 +160880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.563278871,1 +160882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,8.424423711,1 +160883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.664980521,1 +160884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.689055296,1 +160885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.019197132,1 +160886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.053055498,1 +160887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.453139133,1 +160889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.279662196,1 +160888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.004658493,1 +160892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.726969238,1 +160893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,1.802953331,1 +160891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.662406377,1 +160890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.78967178,1 +160894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.631773414,1 +160895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.129891809,1 +160896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.150023127,1 +160898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.539603836,1 +160899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.617309532,1 +160900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.282741895,1 +160897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.285330635,1 +160901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.547737197,1 +160903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.782426546,1 +160902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.676251554,1 +160904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.646127482,1 +160905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.351949512,1 +160907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.809864376,1 +160908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.665619366,1 +160906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.515873818,1 +160909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.87977001,1 +160910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.596994602,1 +160913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.220597227,1 +160912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.699174717,1 +160914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.607945617,1 +160911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.730664161,1 +160915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.87509864,1 +160916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.346011085,1 +160917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.034828151,1 +160918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.612091288,1 +160920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.44736509,1 +160919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.966497269,1 +160922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.417707435,1 +160921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.123205928,1 +160924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.447331075,1 +160923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.33964494,1 +160925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.436096492,1 +160926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.167779011,1 +160927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.348538388,1 +160929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.512336287,1 +160931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.339845417,1 +160930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.702461184,1 +160928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.415420954,1 +160933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.45844189,1 +160935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.098551346,1 +160934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.029858638,1 +160932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.148355197,1 +160936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.082823526,1 +160937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.584663028,1 +160940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.440058595,1 +160939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.518364101,1 +160938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.830791849,1 +160941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.64493579,1 +160942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.026842721,1 +160943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.654412864,1 +160944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.934222685,1 +160946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.193085225,1 +160947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.571578011,1 +160948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.22116226,1 +160945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.36394746,1 +160950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.918453497,1 +160952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.254553901,1 +160949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.328527543,1 +160951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.480631353,1 +160953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.480275883,1 +160954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.039739011,1 +160955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.004926312,1 +160956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.43156662,1 +160957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,8.296063244,1 +160958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.320434486,1 +160959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.095542484,1 +160960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.432149908,1 +160961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.512064943,1 +160963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.383581626,1 +160964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.146660186,1 +160962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.933967879,1 +160965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.074181432,1 +160966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.86096143,1 +160967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.914941573,1 +160968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.860166176,1 +160969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.293949623,1 +160970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.21493946,1 +160971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.825592717,1 +160972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.170343826,1 +160973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.750806586,1 +160974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.946821775,1 +160976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.933505261,1 +160975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.233340368,1 +160977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.912446388,1 +160978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.273061352,1 +160981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.889097551,1 +160980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.458268089,1 +160982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.493499566,1 +160979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,2.923516661,1 +160983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.674686473,1 +160985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.674068558,1 +160986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.616873625,1 +160987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.589852902,1 +160988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.925107754,1 +160989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.634874301,1 +160990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,6.236178224,1 +160984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.872815775,1 +160991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.081380551,1 +160992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,7.082175079,1 +160993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.728257861,1 +160994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.799642721,1 +160995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.211595951,1 +160996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.252465017,1 +160997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.477710376,1 +160998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,3.767086568,1 +160999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,5.549932144,1 +161000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,1,1,4.89235372,1 +170001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.715300408,1 +170002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.705299358,1 +170003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.465173665,1 +170004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.256883718,1 +170005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.659880141,1 +170006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.638665879,1 +170007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.213480253,1 +170008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.929401424,1 +170010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.324328043,1 +170011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.978797406,1 +170009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.858700985,1 +170012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.352464498,1 +170015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.615264672,1 +170013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.365592071,1 +170014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.886678359,1 +170016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.709417337,1 +170018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.068572579,1 +170017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.783672288,1 +170019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.425207192,1 +170020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.669926451,1 +170021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.833557613,1 +170024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.925072297,1 +170023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.744782185,1 +170025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.310010901,1 +170027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.068792279,1 +170022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.228404872,1 +170026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.409007172,1 +170030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.406137324,1 +170029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.441818275,1 +170028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.419546119,1 +170031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.419203021,1 +170033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.329776972,1 +170034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.103437471,1 +170035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.376942321,1 +170032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.655241062,1 +170036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.521324711,1 +170037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.942316207,1 +170038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.230166006,1 +170039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.953568035,1 +170040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.021892623,1 +170041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.136946504,1 +170042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.236491341,1 +170044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.619463983,1 +170043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.262449519,1 +170046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.554644441,1 +170047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.26964304,1 +170049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.994014485,1 +170045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.020369067,1 +170048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.903798806,1 +170050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.091334889,1 +170051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.151892604,1 +170054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.029028446,1 +170052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.226037249,1 +170053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.145645733,1 +170055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.485804711,1 +170057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.53588622,1 +170056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.631119542,1 +170058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.666177629,1 +170059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.748807773,1 +170060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.819126528,1 +170061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.766595391,1 +170063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.426426792,1 +170065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.459978487,1 +170066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.316970524,1 +170062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.002372876,1 +170067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.524660975,1 +170068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.454201354,1 +170064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.271447338,1 +170069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.172900091,1 +170070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.918629934,1 +170071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.746551748,1 +170072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.261752165,1 +170073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.826415106,1 +170074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.913874444,1 +170075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.509673177,1 +170076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.877077828,1 +170077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.889403256,1 +170078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.474896793,1 +170079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.679005885,1 +170080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.306345407,1 +170082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.587250227,1 +170083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.014194783,1 +170084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.511822863,1 +170085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.447393185,1 +170081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.112378429,1 +170086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.65578314,1 +170089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.707390051,1 +170087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.288410678,1 +170090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.426365976,1 +170088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.725487569,1 +170094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.120054016,1 +170092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.652584822,1 +170091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.907058346,1 +170093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.944316951,1 +170096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.38661484,1 +170095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.868642231,1 +170097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.284066674,1 +170098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.864777598,1 +170099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.461109613,1 +170100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.794027129,1 +170102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.197491469,1 +170104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.993477271,1 +170101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.850529728,1 +170105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.354182356,1 +170103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.177686798,1 +170106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.008976455,1 +170107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.902037491,1 +170109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.343957954,1 +170110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.933556148,1 +170111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.587842694,1 +170108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.910346303,1 +170112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.574846046,1 +170113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.62732104,1 +170114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.558173523,1 +170116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.215235175,1 +170115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.241212015,1 +170117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.673492087,1 +170119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.273353833,1 +170120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.112588267,1 +170121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.329826882,1 +170123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.183753945,1 +170118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.509681463,1 +170122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.25069723,1 +170124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.138647826,1 +170127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.011904139,1 +170126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.52502173,1 +170128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.478951477,1 +170129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.990988576,1 +170125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.16311355,1 +170130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.203245922,1 +170131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.66591744,1 +170132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,1.361103259,1 +170133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.749178145,1 +170134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.51141148,1 +170135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.137022319,1 +170136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.63815254,1 +170137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.99720292,1 +170139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.98326578,1 +170138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.146589565,1 +170141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.590949856,1 +170140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.700331799,1 +170142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.665398445,1 +170143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.224909667,1 +170144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.283536381,1 +170145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.092192002,1 +170146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.39799719,1 +170147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.22542908,1 +170149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.515845646,1 +170150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.962186924,1 +170151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.632743487,1 +170148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.351210411,1 +170152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,8.115610773,1 +170153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.188804567,1 +170155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.237376587,1 +170156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.303877364,1 +170157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.870491532,1 +170158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.224319196,1 +170154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.275299947,1 +170159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.997316985,1 +170160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.857401677,1 +170161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.882910389,1 +170163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.568872706,1 +170164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.723955462,1 +170162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.014598013,1 +170165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.848022585,1 +170166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.209795576,1 +170167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.883183938,1 +170168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.152803836,1 +170169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.257281693,1 +170170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.22869549,1 +170171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.315732533,1 +170173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.345561881,1 +170174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.510084392,1 +170175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.331758377,1 +170172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.585825859,1 +170176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.474727702,1 +170177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.112071562,1 +170178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.289366217,1 +170179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.897904545,1 +170180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.924037622,1 +170181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.585123229,1 +170182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,9.119744321,1 +170183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.397589884,1 +170184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.486046512,1 +170185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.097296136,1 +170186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.349443912,1 +170188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.236862723,1 +170187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.03839409,1 +170189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.272238284,1 +170191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.536810512,1 +170190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.283328442,1 +170193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.684991573,1 +170194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.202669433,1 +170195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.204591865,1 +170196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.784548241,1 +170192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.539586167,1 +170198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.806197167,1 +170197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.724527982,1 +170199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.592084495,1 +170200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.949432683,1 +170201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.430419295,1 +170202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.164524143,1 +170203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.355609858,1 +170204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.34777827,1 +170205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.888043965,1 +170206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.388907977,1 +170207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.493165352,1 +170208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.824617452,1 +170209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.307855978,1 +170210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.098686487,1 +170211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.502277794,1 +170213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.962163069,1 +170212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.890119715,1 +170214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.192229099,1 +170216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.120306093,1 +170217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.411029852,1 +170218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.389715064,1 +170219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.01255953,1 +170215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.835376369,1 +170220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.667350563,1 +170221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.956047605,1 +170222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.102284623,1 +170224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.804017629,1 +170225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.854031234,1 +170223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.126669718,1 +170226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.671246764,1 +170228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.370208033,1 +170229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.698206608,1 +170227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.50030568,1 +170230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.73996461,1 +170231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.663343706,1 +170232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.556577482,1 +170234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.41401797,1 +170233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.708936175,1 +170235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.173360542,1 +170237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.427488542,1 +170238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.222417326,1 +170239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.953198666,1 +170236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.250581938,1 +170241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.906682249,1 +170240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.957480459,1 +170243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.534679297,1 +170242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.172797135,1 +170244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.638295892,1 +170245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.912638337,1 +170247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.03675911,1 +170246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.349749128,1 +170249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.271329339,1 +170248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.897245803,1 +170251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.238911753,1 +170250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.041952958,1 +170252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.669026978,1 +170254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.197317951,1 +170253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.642282871,1 +170257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.625067155,1 +170256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.741028297,1 +170255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.787560142,1 +170258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.785969793,1 +170260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.089096777,1 +170259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.545380557,1 +170261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.430689589,1 +170263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.12449439,1 +170264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.566869353,1 +170265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.984331361,1 +170266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.758718889,1 +170267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.745408875,1 +170262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.675160057,1 +170268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.541744801,1 +170269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.63647917,1 +170270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.488803665,1 +170272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.301713218,1 +170273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.320525354,1 +170271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.004664091,1 +170274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.202681807,1 +170275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.033323142,1 +170276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.345480806,1 +170277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.360135318,1 +170278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.087978867,1 +170279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.813595038,1 +170280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.909814899,1 +170282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.785964422,1 +170283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.740917865,1 +170284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.865912716,1 +170281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.86728778,1 +170285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.475716972,1 +170286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.894235877,1 +170289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.935624386,1 +170287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.596881384,1 +170290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.684837681,1 +170288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.655463212,1 +170292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,8.40599312,1 +170291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.833611594,1 +170293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.581507923,1 +170294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.014458654,1 +170296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.196017717,1 +170295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.808281075,1 +170297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.841382818,1 +170299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.561602013,1 +170298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.838080776,1 +170300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.38826857,1 +170302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.133006989,1 +170301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.974980004,1 +170304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.871237281,1 +170305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.024489945,1 +170306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.323197344,1 +170303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.363619491,1 +170307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.547157885,1 +170309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.556601091,1 +170308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.966562162,1 +170310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.602091665,1 +170311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.661806573,1 +170312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.236598188,1 +170313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.327242306,1 +170314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.489004403,1 +170315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.349680346,1 +170317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.25890604,1 +170316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.449777126,1 +170318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.27659544,1 +170319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.551612333,1 +170320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.235961585,1 +170321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.834283558,1 +170323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.596686882,1 +170322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.388661628,1 +170324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.982099286,1 +170325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.575564341,1 +170326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.151662801,1 +170327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.890637213,1 +170328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.467451946,1 +170329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.286631574,1 +170330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.65875325,1 +170332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.742553236,1 +170331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.822607041,1 +170333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.875159933,1 +170334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.199600583,1 +170335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.397911011,1 +170337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.729260071,1 +170338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.958222344,1 +170339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.233872685,1 +170340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.720644145,1 +170341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.744949734,1 +170336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.032569758,1 +170342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.704116292,1 +170343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.487593145,1 +170344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.895146497,1 +170346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.029419536,1 +170345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.764038728,1 +170347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.216951511,1 +170348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.45511925,1 +170349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.072554332,1 +170350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.864430782,1 +170351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.121161554,1 +170354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.528296682,1 +170352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.280043446,1 +170355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.409749899,1 +170357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.453294266,1 +170353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.199459922,1 +170358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.331576701,1 +170359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.586412931,1 +170360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.565734924,1 +170356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.551782773,1 +170361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.472283796,1 +170362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.296868242,1 +170363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.564610311,1 +170365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.785852658,1 +170367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.050662779,1 +170364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.253104636,1 +170366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.055738882,1 +170369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.824613157,1 +170370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.001503655,1 +170368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.30202949,1 +170371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.047143339,1 +170374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.030492338,1 +170375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.79243938,1 +170373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.008134553,1 +170377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.831324124,1 +170376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.406460988,1 +170372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.727500016,1 +170379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.009208928,1 +170380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.112348827,1 +170381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.455894325,1 +170378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.663498276,1 +170383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.31621296,1 +170384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.814435137,1 +170382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.896326354,1 +170385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.144397552,1 +170387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.203290761,1 +170388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.105529776,1 +170389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.463969229,1 +170391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.571589402,1 +170386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.323316853,1 +170392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,8.253733985,1 +170393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.797556641,1 +170394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.941291421,1 +170390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.915311376,1 +170397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.94433072,1 +170398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.974527789,1 +170396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.815730054,1 +170395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.247787593,1 +170399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.945278506,1 +170400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.358701169,1 +170401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.531514559,1 +170402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.515516909,1 +170404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.359545979,1 +170405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.796513246,1 +170406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.94840414,1 +170408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.458803642,1 +170403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.127457012,1 +170409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.434023626,1 +170410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.584013774,1 +170407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.543493191,1 +170411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.860110147,1 +170414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.127187691,1 +170415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.921191286,1 +170412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.558500568,1 +170413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.600107543,1 +170417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.236104635,1 +170416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.276814686,1 +170418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.69358973,1 +170419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.357874748,1 +170421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.469280803,1 +170423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.090316259,1 +170422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.776558255,1 +170424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.22835095,1 +170420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.975186131,1 +170425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.679643717,1 +170426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.396031892,1 +170428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.712403007,1 +170429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.208015438,1 +170427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.786440387,1 +170430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.253448553,1 +170431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.84366351,1 +170432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.594301006,1 +170433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.000038078,1 +170434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.217660297,1 +170435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,8.348308757,1 +170436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.894592373,1 +170437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.372213926,1 +170438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.076634119,1 +170440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.092907744,1 +170441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.862076969,1 +170439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.831836957,1 +170443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.343366626,1 +170445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.362053773,1 +170444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.696445326,1 +170442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.319831542,1 +170446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.669419885,1 +170447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.818892647,1 +170448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.808348612,1 +170450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.004523095,1 +170451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.823527558,1 +170452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.985683248,1 +170449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.271716213,1 +170453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.991227143,1 +170454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.782241409,1 +170455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.465547826,1 +170457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.207316242,1 +170459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.690316475,1 +170456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.480413888,1 +170460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.788329073,1 +170458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.724602521,1 +170461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.079377117,1 +170462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.74733138,1 +170463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.314942767,1 +170465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.48577857,1 +170464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.157848849,1 +170467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.158197055,1 +170468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.264844629,1 +170469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.761275381,1 +170466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.523972906,1 +170470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.151027905,1 +170472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.551191327,1 +170471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.671896409,1 +170473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.389921771,1 +170474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.157909132,1 +170476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.156407629,1 +170475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.789597977,1 +170477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.767898832,1 +170479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.609499665,1 +170478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.364892435,1 +170480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.581546292,1 +170481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.948322738,1 +170482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.394363245,1 +170483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.789749979,1 +170484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.816132543,1 +170486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.235512514,1 +170487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.093528877,1 +170488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.217161084,1 +170490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.873781369,1 +170485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.259428982,1 +170491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.164027153,1 +170489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.140176537,1 +170495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.41663231,1 +170494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.095729537,1 +170493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.5437203,1 +170492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.723693368,1 +170499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.304513174,1 +170496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.675924263,1 +170497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.568623743,1 +170498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.785236049,1 +170501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.121274151,1 +170500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.187012588,1 +170502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.893481316,1 +170503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.396245063,1 +170505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.798402268,1 +170506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.869380382,1 +170504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.057062019,1 +170507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.574284125,1 +170509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.59162485,1 +170508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.800016333,1 +170510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.71718209,1 +170511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.472649537,1 +170512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.05037164,1 +170513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.951737343,1 +170514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.30952605,1 +170516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.680237487,1 +170517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.143503853,1 +170518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.081735109,1 +170515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.744325731,1 +170519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.844461095,1 +170520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.837686121,1 +170521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.196302423,1 +170523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.784846805,1 +170524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.713193288,1 +170525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.977953413,1 +170522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.550245907,1 +170526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.566551077,1 +170527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.629839596,1 +170528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.75000796,1 +170529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.66540432,1 +170530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.960052047,1 +170531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.904846523,1 +170532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.761503867,1 +170534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.287102709,1 +170535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.556931573,1 +170536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.212586892,1 +170533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.115031724,1 +170537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.17466832,1 +170538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.106516574,1 +170539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.126989501,1 +170540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.002952057,1 +170541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.749252608,1 +170542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.308944072,1 +170543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.765914928,1 +170545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.511571983,1 +170546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.755285118,1 +170547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.862816296,1 +170548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.517953336,1 +170544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.032799585,1 +170549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.611243102,1 +170550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.077710101,1 +170551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.119549111,1 +170552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.994280826,1 +170553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.0624791,1 +170554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.734837655,1 +170555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.727878454,1 +170556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.058678062,1 +170558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.153695694,1 +170557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.296243687,1 +170559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.370824934,1 +170562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.340032215,1 +170561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.762599166,1 +170560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.491049033,1 +170563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.723308109,1 +170564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.833301362,1 +170565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.615016316,1 +170567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.240349656,1 +170568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.416046243,1 +170566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.701143062,1 +170569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.488422359,1 +170570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.749473404,1 +170572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.933006063,1 +170573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.283222823,1 +170574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.709365616,1 +170575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.910179279,1 +170576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.139771848,1 +170571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.736555345,1 +170577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.401890243,1 +170579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.983861205,1 +170578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.689745299,1 +170580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.456103838,1 +170581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.385404253,1 +170582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.81462574,1 +170583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.380510599,1 +170584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.923626329,1 +170585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.712734623,1 +170586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.918140195,1 +170587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.596847577,1 +170588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.975671385,1 +170589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.03709414,1 +170590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.872293162,1 +170593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.860737454,1 +170594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.239077867,1 +170591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.278293257,1 +170592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.523278112,1 +170595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.550305229,1 +170597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.255834094,1 +170596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.91017903,1 +170598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.393068278,1 +170601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.984885018,1 +170599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.957171964,1 +170602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.898628001,1 +170603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.231835474,1 +170604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.242943145,1 +170605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.355994469,1 +170600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.456886331,1 +170607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.283575513,1 +170606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.78559953,1 +170611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.959491997,1 +170610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.555874325,1 +170609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.21469992,1 +170608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.59200845,1 +170614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.352374538,1 +170612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.590733694,1 +170615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.798562653,1 +170613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.867651586,1 +170617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.80523611,1 +170616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.5014733,1 +170618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.470384278,1 +170619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.902417599,1 +170620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.016796991,1 +170622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.889219924,1 +170623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.800410984,1 +170624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.352126331,1 +170625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.679930494,1 +170621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.697858937,1 +170626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.065607805,1 +170627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.90901905,1 +170628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.986784154,1 +170629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.484159217,1 +170630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.13058668,1 +170632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.382792791,1 +170631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.798163103,1 +170634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.951358109,1 +170633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.586070966,1 +170637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.259876425,1 +170635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.975430324,1 +170636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.341379585,1 +170638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.134918534,1 +170640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.754357525,1 +170639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.954867975,1 +170641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.81031432,1 +170644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.656660473,1 +170642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.293532901,1 +170645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.736648201,1 +170643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.528172375,1 +170646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.489982279,1 +170647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.772502843,1 +170649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.219977227,1 +170650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.042477283,1 +170648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.68461854,1 +170652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.320209374,1 +170651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.073424274,1 +170653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.872692115,1 +170655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.772529333,1 +170654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.971780981,1 +170656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.896559361,1 +170657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.765433515,1 +170658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.959249754,1 +170659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.991868247,1 +170661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.297082,1 +170662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.336805431,1 +170660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.732951014,1 +170663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.188425739,1 +170664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.738319909,1 +170665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.851823578,1 +170666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.50680802,1 +170668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.30190748,1 +170669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.787883436,1 +170670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.865623185,1 +170667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.754129582,1 +170671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.475730547,1 +170672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.766840383,1 +170673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.974936716,1 +170674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.694160943,1 +170675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.476040213,1 +170676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.274248715,1 +170678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.918827307,1 +170679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.469749883,1 +170677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.054238917,1 +170680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.266477677,1 +170681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.379023226,1 +170682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.18283827,1 +170683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.069813315,1 +170684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.314645178,1 +170686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.209590166,1 +170687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.59603122,1 +170688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.73641345,1 +170685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.117986104,1 +170690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.800877954,1 +170689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.931275514,1 +170691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.349359873,1 +170692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.376978703,1 +170694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.552456871,1 +170695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.872739029,1 +170696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.142982604,1 +170693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.294772584,1 +170697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.452321621,1 +170698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.475182363,1 +170699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,9.1250766,1 +170701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.700540698,1 +170700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.093414973,1 +170702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.702904797,1 +170704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.563690133,1 +170705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.130612259,1 +170706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.491636683,1 +170703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.207466407,1 +170708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.770051653,1 +170710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.62397591,1 +170709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.862792233,1 +170707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.806278794,1 +170712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.194427057,1 +170713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.861085309,1 +170714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.030195231,1 +170715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.501101453,1 +170716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.443119849,1 +170711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.344801954,1 +170717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.4012296,1 +170719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.103053917,1 +170721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.291958204,1 +170718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.639066146,1 +170720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.216252946,1 +170722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.718081402,1 +170724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.755874109,1 +170723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.815896588,1 +170725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.303200075,1 +170726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.620798851,1 +170727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.85654678,1 +170728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.006661405,1 +170730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.48388616,1 +170732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.485988128,1 +170731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.158738992,1 +170733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.854885449,1 +170735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.397125085,1 +170734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.692340261,1 +170729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.257602522,1 +170736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.112342724,1 +170739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.816056822,1 +170737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.762558216,1 +170738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.721686055,1 +170740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.66714125,1 +170741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.330873209,1 +170742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.116293874,1 +170743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.411147854,1 +170744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.511879084,1 +170745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.441602991,1 +170746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.229714091,1 +170747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.315086027,1 +170748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.758853961,1 +170750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.127229999,1 +170751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.644409017,1 +170752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.811893434,1 +170749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.372030785,1 +170753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.889915122,1 +170754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.603104721,1 +170755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.888574943,1 +170756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.307219065,1 +170757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.571385129,1 +170758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.685379445,1 +170759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.165903623,1 +170761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.371926251,1 +170762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.652297178,1 +170760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.379201874,1 +170763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.709590787,1 +170765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.332560186,1 +170764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.696711985,1 +170766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.203905604,1 +170767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.585857928,1 +170768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.280222635,1 +170769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.889416834,1 +170770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.393342787,1 +170771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.051114166,1 +170772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.259142644,1 +170773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.769565087,1 +170774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.230832922,1 +170776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.765892143,1 +170777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.061201314,1 +170778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.622922674,1 +170775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.110287707,1 +170779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.551998103,1 +170780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.64082675,1 +170781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.828435145,1 +170783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.157854792,1 +170782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.806867374,1 +170784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.243659679,1 +170786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.88244586,1 +170785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.416393731,1 +170787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.682773848,1 +170788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.667056599,1 +170789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.112005425,1 +170790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.132594219,1 +170792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.43298893,1 +170793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.378848857,1 +170794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.526746262,1 +170795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.223672204,1 +170791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.570349128,1 +170796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.18073334,1 +170798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.108765139,1 +170797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.12733995,1 +170799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.894824131,1 +170800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.676314623,1 +170801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.343354077,1 +170803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.953943893,1 +170804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.847169237,1 +170802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.976963337,1 +170805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.894671205,1 +170806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.519756356,1 +170807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.96358028,1 +170809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.004397825,1 +170808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.311723957,1 +170811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.57234053,1 +170812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.584531498,1 +170810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.553753773,1 +170813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.79090851,1 +170814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.404866757,1 +170817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.674499773,1 +170815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.350159327,1 +170816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.144412883,1 +170818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.565339614,1 +170819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.709754131,1 +170820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.806131762,1 +170821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.920447449,1 +170822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.346267503,1 +170824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.03439058,1 +170825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.735528515,1 +170826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.550324867,1 +170827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.654029732,1 +170823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.386377923,1 +170829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.923094111,1 +170830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.028895658,1 +170831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.463973088,1 +170832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.975071027,1 +170828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.674104823,1 +170833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.929422757,1 +170834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.695381811,1 +170835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.886419869,1 +170836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.933264266,1 +170837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.61816699,1 +170838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.035461017,1 +170839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.546491548,1 +170840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.678651064,1 +170841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.768951132,1 +170843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.804742136,1 +170844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.442540018,1 +170842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.451653472,1 +170845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.137464017,1 +170846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.527651877,1 +170848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.812927068,1 +170847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.388871375,1 +170849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.886627367,1 +170850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.749037564,1 +170851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.809767588,1 +170852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.946744978,1 +170853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.888425709,1 +170855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.634347869,1 +170854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.662411839,1 +170856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.010308457,1 +170857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.380629143,1 +170858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.323801051,1 +170861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.944583351,1 +170860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.64424913,1 +170859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.933196353,1 +170862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.631807221,1 +170863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.731374215,1 +170864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.464737413,1 +170865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.410754885,1 +170866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.982871286,1 +170867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.912422847,1 +170869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.875399584,1 +170868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.741236231,1 +170871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.427579163,1 +170870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.580330126,1 +170872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.867171562,1 +170874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.575356963,1 +170875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.806410471,1 +170873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.944146051,1 +170876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.147598237,1 +170877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.526898705,1 +170878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.863950912,1 +170879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.339166997,1 +170880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.847411579,1 +170881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.00642862,1 +170882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.389743501,1 +170885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.623392463,1 +170884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.495271526,1 +170886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.964435449,1 +170888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.930555102,1 +170887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.55927059,1 +170889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.700533005,1 +170883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,1.622038908,1 +170890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.018810782,1 +170892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.381940085,1 +170891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.53681441,1 +170893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.81987477,1 +170894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.88628726,1 +170895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.642514221,1 +170896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.665542056,1 +170897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.327553404,1 +170898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.42020526,1 +170899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.902652423,1 +170900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.658264844,1 +170901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.263202445,1 +170902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.408476779,1 +170903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.188934189,1 +170904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.136119878,1 +170906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.356848493,1 +170905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.707862069,1 +170907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.091215666,1 +170908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.938021989,1 +170911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.388033494,1 +170910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.924654235,1 +170912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.442410623,1 +170909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.325754927,1 +170913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.785119701,1 +170914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.163645412,1 +170915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.622182099,1 +170917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.886137425,1 +170919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.829029711,1 +170918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.970169208,1 +170920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.872094246,1 +170916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.336765077,1 +170921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.329836137,1 +170924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.348989079,1 +170922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.25685868,1 +170925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.957053251,1 +170923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.474945357,1 +170926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.513004337,1 +170927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.807189833,1 +170928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.15493425,1 +170929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.534224223,1 +170932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.750567649,1 +170933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.335026614,1 +170931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.666594698,1 +170934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.30765753,1 +170930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.235262875,1 +170935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.873253796,1 +170936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.743216206,1 +170938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.328100111,1 +170939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.401511543,1 +170937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,8.643150308,1 +170941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.73142059,1 +170943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.419190057,1 +170942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.083204654,1 +170940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.058086762,1 +170944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.254137587,1 +170946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.956805457,1 +170945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.16717581,1 +170948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.000522732,1 +170949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.950971754,1 +170950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.121572056,1 +170947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.647408798,1 +170953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.01741997,1 +170954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.656607273,1 +170951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.419474388,1 +170952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.795986346,1 +170956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.029134118,1 +170955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.735214078,1 +170958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.544047584,1 +170957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.453738502,1 +170960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,7.050546599,1 +170961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.522664427,1 +170962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.093404927,1 +170964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.234006994,1 +170963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.422123663,1 +170959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.316546576,1 +170965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.818145625,1 +170966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.371164891,1 +170967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.641035312,1 +170968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.283888947,1 +170969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.105922531,1 +170970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.699437762,1 +170972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.101712489,1 +170971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.146632431,1 +170973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.506072319,1 +170974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.839444385,1 +170975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.091601794,1 +170976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.537212596,1 +170977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.504245065,1 +170978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.865116302,1 +170980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.013291711,1 +170981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.583512593,1 +170982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.628673604,1 +170983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.534229518,1 +170979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.206842908,1 +170984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.447370263,1 +170985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.262558049,1 +170986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.891347573,1 +170987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.307683778,1 +170988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.290526788,1 +170989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.496008897,1 +170990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.382103168,1 +170992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.055554852,1 +170993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.368880737,1 +170991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,2.781136185,1 +170994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.791474007,1 +170995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.939031136,1 +170996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,3.968929234,1 +170997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.534104673,1 +170998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,5.437847917,1 +170999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,4.176251475,1 +171000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,1,1,6.721950229,1 +180001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.064530297,1 +180002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.134878795,1 +180005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.566530444,1 +180004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.376869977,1 +180003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.543070178,1 +180006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.044439551,1 +180007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.358262378,1 +180008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.828330737,1 +180009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.973093492,1 +180010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.116376925,1 +180011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.343365986,1 +180012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.153462028,1 +180014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.208308055,1 +180013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.289236946,1 +180015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.461589641,1 +180016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.007193136,1 +180017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.588158388,1 +180018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.796134265,1 +180019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.109745994,1 +180020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.771018994,1 +180021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.691105087,1 +180023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.702743979,1 +180024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.295874847,1 +180025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.681291117,1 +180026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.442848488,1 +180027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.202863995,1 +180022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.411078018,1 +180028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.000243546,1 +180029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.168233037,1 +180030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.32406991,1 +180032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.511196601,1 +180033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.518131805,1 +180034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.815600938,1 +180031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.39038355,1 +180035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.045371128,1 +180036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.623708327,1 +180038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.750338679,1 +180037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.43872194,1 +180039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,1.907437552,1 +180042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.790806879,1 +180040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.003932978,1 +180041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.519030645,1 +180043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.20483438,1 +180044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.842736622,1 +180045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.526233593,1 +180047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.684643431,1 +180048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.602679747,1 +180049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.925631991,1 +180050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.297847351,1 +180046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.421663943,1 +180052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.300483829,1 +180051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,8.318109946,1 +180053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,8.644280296,1 +180054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.535357999,1 +180055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.151772136,1 +180056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.292043973,1 +180057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.687308932,1 +180058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.316995558,1 +180059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.686306221,1 +180060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.969024915,1 +180061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.215655659,1 +180063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.500720708,1 +180062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.163145707,1 +180064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.443187445,1 +180065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.173982031,1 +180066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.031727628,1 +180068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.916708081,1 +180067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.636306067,1 +180069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.423477769,1 +180070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.912916194,1 +180071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.702811369,1 +180072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.431002682,1 +180073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.431312039,1 +180074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.725823418,1 +180075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.264583589,1 +180077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.04322862,1 +180076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.780475948,1 +180078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.166886278,1 +180079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.761947783,1 +180080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.233607238,1 +180082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.068678999,1 +180081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.355387921,1 +180083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.074658322,1 +180084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.910004519,1 +180085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.916631099,1 +180087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.525254414,1 +180088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.867356904,1 +180089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.442790837,1 +180086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.346398466,1 +180090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.861329704,1 +180091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.92932452,1 +180092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.383620769,1 +180094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.49300546,1 +180093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.939588814,1 +180095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.469095715,1 +180096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.436142671,1 +180098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.498373908,1 +180097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.259201607,1 +180099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.517148103,1 +180101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.493471441,1 +180100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.259006192,1 +180102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.985563719,1 +180103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.724506115,1 +180105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.727577825,1 +180106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.743197598,1 +180107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.541681355,1 +180104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.468157956,1 +180108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.499150826,1 +180109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.198299343,1 +180110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.752755052,1 +180111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.2249739,1 +180112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.915309443,1 +180113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.710952569,1 +180115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.789766647,1 +180116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.746003777,1 +180114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.347846488,1 +180119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.936432809,1 +180120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.843471647,1 +180118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.936919525,1 +180121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.056553856,1 +180122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.618226014,1 +180117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.213186947,1 +180124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.630231829,1 +180125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.159621609,1 +180123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.680001802,1 +180126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.164019328,1 +180127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.991293305,1 +180130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.474175737,1 +180129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.627495415,1 +180128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.940415539,1 +180131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.983032778,1 +180132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.488905904,1 +180134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.152522734,1 +180135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.290889618,1 +180133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.629609581,1 +180137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.67411207,1 +180138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.804498087,1 +180139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.258578771,1 +180140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.579360667,1 +180141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.806135277,1 +180136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.77585961,1 +180142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.508819321,1 +180144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.558264308,1 +180145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.64214988,1 +180143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.774951482,1 +180147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.922963843,1 +180148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.975374212,1 +180149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.527792548,1 +180146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.51428027,1 +180151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.129924884,1 +180150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.83720895,1 +180152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.668621811,1 +180153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.770439884,1 +180155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.428821636,1 +180156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.670502283,1 +180157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.356710877,1 +180154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,1.852408909,1 +180159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.307947851,1 +180158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.924091744,1 +180161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.397518417,1 +180162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.093294129,1 +180163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.457879552,1 +180160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.989686489,1 +180164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.96971394,1 +180165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.210000329,1 +180166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.506203775,1 +180167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.340480942,1 +180168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.855204526,1 +180169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.17968217,1 +180170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.975935776,1 +180171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.848958927,1 +180173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.320498365,1 +180174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.942578031,1 +180172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.054197437,1 +180178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.466860616,1 +180177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.196597789,1 +180176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.299077737,1 +180175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.89224878,1 +180179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.22081341,1 +180180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.351527025,1 +180181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.32732649,1 +180183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.137950357,1 +180184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.058812124,1 +180185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.343742082,1 +180182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.884643474,1 +180186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.730971968,1 +180187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.873431973,1 +180188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.399336867,1 +180189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.573149716,1 +180192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.745952912,1 +180190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.428582937,1 +180191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.814999117,1 +180193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.114457003,1 +180194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.694340089,1 +180195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.779552801,1 +180196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.811761566,1 +180198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.832664756,1 +180199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.451223362,1 +180200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.410632357,1 +180201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.651206387,1 +180202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.391739554,1 +180197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.148531175,1 +180203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.133375294,1 +180206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.330420153,1 +180205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.764346318,1 +180204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.563079213,1 +180207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.963730259,1 +180208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.183423919,1 +180209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.140103565,1 +180210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.826902615,1 +180211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.999300209,1 +180213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.890304153,1 +180212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.384581511,1 +180214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.156101073,1 +180215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.14750215,1 +180216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.427666127,1 +180218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.874874213,1 +180219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.396465902,1 +180217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.742933083,1 +180220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.352065528,1 +180222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.919002966,1 +180221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.124082466,1 +180223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.71187269,1 +180224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,8.251131934,1 +180225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.34604045,1 +180226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.633306805,1 +180227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.580126454,1 +180228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.275870446,1 +180229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.750632942,1 +180230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.005649275,1 +180231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.051140474,1 +180232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.458638849,1 +180233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.571919699,1 +180234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.801716043,1 +180236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.88113299,1 +180237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.86102743,1 +180238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.953930533,1 +180235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.643003509,1 +180239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.246265559,1 +180240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.195660622,1 +180241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.428674519,1 +180242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.541868711,1 +180243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.218983991,1 +180244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.108684315,1 +180245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.522128254,1 +180247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.678671963,1 +180246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.339716171,1 +180249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.588106624,1 +180248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.576445494,1 +180250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.575255724,1 +180251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.927085359,1 +180253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.872999938,1 +180252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.167352303,1 +180254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.453756909,1 +180255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.533593891,1 +180257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.324359425,1 +180258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.329526113,1 +180259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.624746515,1 +180256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.417713606,1 +180260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.086346249,1 +180261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.382061819,1 +180262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.465374481,1 +180264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.95811109,1 +180265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.475580672,1 +180263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.675658972,1 +180266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.81109276,1 +180267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.168538254,1 +180269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.758837499,1 +180268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.226934092,1 +180271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.164052587,1 +180270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.462386978,1 +180272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.890274739,1 +180273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.399633545,1 +180274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.814934629,1 +180275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.209307242,1 +180277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.602745663,1 +180278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.343317127,1 +180279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.307303218,1 +180280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.592383615,1 +180276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.734382053,1 +180281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.171689238,1 +180282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.373241269,1 +180284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.542066648,1 +180283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.399570577,1 +180285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.183119535,1 +180286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.123060261,1 +180287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.162905294,1 +180288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.21882616,1 +180289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.954033683,1 +180291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.840749918,1 +180290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.554267527,1 +180292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.523671274,1 +180293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.850778574,1 +180296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.243309537,1 +180295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.91871548,1 +180297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.450144644,1 +180294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.609637612,1 +180299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.900067291,1 +180298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.939491286,1 +180301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.349856976,1 +180300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.009103492,1 +180303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.762767785,1 +180304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.160455594,1 +180305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.608308864,1 +180306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.751643272,1 +180302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.652882308,1 +180307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.518280092,1 +180308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.7236479,1 +180309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.477973397,1 +180312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.198772843,1 +180313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.464637637,1 +180310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.184106642,1 +180311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.991849872,1 +180314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.234404077,1 +180316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,8.214589079,1 +180315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.248804859,1 +180317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.475545592,1 +180318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.563114423,1 +180320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.50082606,1 +180319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.596055016,1 +180321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.513951613,1 +180322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.662120985,1 +180323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.101558273,1 +180325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.408817651,1 +180326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.066612378,1 +180327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.48855121,1 +180328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.471770765,1 +180324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.394030026,1 +180329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.05579155,1 +180330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.85923227,1 +180331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.670073277,1 +180332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.763309623,1 +180333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.524539049,1 +180334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.853300302,1 +180335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.977048607,1 +180337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.535536159,1 +180336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.95691091,1 +180338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.824634275,1 +180339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.140548995,1 +180340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.127757403,1 +180342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.069383979,1 +180343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.6576256,1 +180344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.378544838,1 +180341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.56789105,1 +180345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.102072529,1 +180347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.01032216,1 +180346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.560473853,1 +180348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.56974553,1 +180351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.793459203,1 +180350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.029370142,1 +180352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.559795056,1 +180349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.425875101,1 +180354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.553925406,1 +180353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.189122941,1 +180355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.602538491,1 +180356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.36420616,1 +180358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.010126813,1 +180357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.604511039,1 +180359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.955821204,1 +180360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.023460699,1 +180362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.248290629,1 +180361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.7257751,1 +180364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.21856028,1 +180363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.151634859,1 +180365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.77805491,1 +180366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.811807082,1 +180369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.988249434,1 +180368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.397416813,1 +180370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.619690918,1 +180367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.9158786,1 +180371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.927443091,1 +180372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.044661403,1 +180373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.621219447,1 +180374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.617093173,1 +180375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.451435713,1 +180377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.948692133,1 +180378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.706033043,1 +180376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.029939765,1 +180379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.832166393,1 +180380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.187733594,1 +180381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.890327834,1 +180382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.281067462,1 +180383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.217966374,1 +180384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.389805302,1 +180386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.573295695,1 +180388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.053576363,1 +180387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.711496344,1 +180385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.721553695,1 +180389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.105250784,1 +180390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.027313257,1 +180391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.845460247,1 +180392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.696848287,1 +180393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.415104237,1 +180394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.323181156,1 +180395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.025159414,1 +180396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.630470407,1 +180397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.271973454,1 +180398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.510850062,1 +180399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.014432869,1 +180400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,8.048762226,1 +180401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.956408017,1 +180402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.042084369,1 +180403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.509505381,1 +180406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.468484065,1 +180405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.356573108,1 +180404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.631099482,1 +180407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.683652026,1 +180410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.532230479,1 +180408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.461808251,1 +180411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.156985661,1 +180412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.093183855,1 +180413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.603772603,1 +180409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.675347414,1 +180414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.652926818,1 +180415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.11721658,1 +180416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.529642005,1 +180417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.096963323,1 +180418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.285525215,1 +180419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.254240982,1 +180420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.796570245,1 +180421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.96090664,1 +180422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.455139012,1 +180426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.620167098,1 +180424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.118691687,1 +180425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.901639872,1 +180423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.581981683,1 +180427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.468659171,1 +180428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.935541292,1 +180430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.253071704,1 +180431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.660231388,1 +180432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.870450247,1 +180429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.636755373,1 +180433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.093149503,1 +180434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.09332559,1 +180435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.319137012,1 +180437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.984022875,1 +180436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.780570357,1 +180440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.068541989,1 +180439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.920592693,1 +180438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.562716454,1 +180442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.388174895,1 +180443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,8.392927854,1 +180441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.852275835,1 +180445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.289204176,1 +180446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.749427484,1 +180444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.656825807,1 +180447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.615556964,1 +180448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.099716048,1 +180449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.66577444,1 +180450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.762417475,1 +180453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.515010205,1 +180454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.885891399,1 +180455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.013644389,1 +180452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.147391128,1 +180451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.37831785,1 +180456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.531037863,1 +180458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.764715623,1 +180459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.503024887,1 +180461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.94741833,1 +180460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.410402164,1 +180457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.476610998,1 +180462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.248463007,1 +180464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.588559706,1 +180463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.819812477,1 +180465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.172685457,1 +180467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.951934342,1 +180468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.917659313,1 +180466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.954082524,1 +180469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.565969876,1 +180470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.549498926,1 +180471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.161765367,1 +180473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.446076538,1 +180472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.309548081,1 +180474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.242342586,1 +180475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.062107071,1 +180477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.63044159,1 +180478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.910803476,1 +180479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.715698595,1 +180476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.494757323,1 +180480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.091362574,1 +180481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.74498298,1 +180482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.649215713,1 +180483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.02629501,1 +180485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.625077575,1 +180484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.402128261,1 +180486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.285192334,1 +180487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.909798824,1 +180488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.488594154,1 +180489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.795982062,1 +180490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.426070674,1 +180491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.454995736,1 +180492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.136342097,1 +180494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.117901145,1 +180493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.727401371,1 +180496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.633842081,1 +180497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.35647542,1 +180495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.834900979,1 +180498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.062821122,1 +180501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.218516454,1 +180499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.521824555,1 +180500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.252346952,1 +180502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.828785022,1 +180503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.571574535,1 +180505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.610091026,1 +180504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.606917291,1 +180506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.069807836,1 +180507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.015688012,1 +180509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.642961863,1 +180508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.176869004,1 +180510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.494340169,1 +180512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.80468075,1 +180513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.682280503,1 +180511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.330060352,1 +180514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.020900476,1 +180515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.382948436,1 +180516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.249497441,1 +180517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.666392734,1 +180519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.118043531,1 +180520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.666871099,1 +180521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.799186326,1 +180518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.937916436,1 +180522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.178047489,1 +180523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.460805507,1 +180524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.478552006,1 +180527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.343784699,1 +180526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.427145354,1 +180528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.554312557,1 +180525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.225540274,1 +180529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.133181475,1 +180530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.172767677,1 +180532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.432379547,1 +180531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.641639675,1 +180533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.673835218,1 +180534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.318867067,1 +180535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.671007655,1 +180537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.7671297,1 +180536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.647741686,1 +180538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.737961408,1 +180541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.862331868,1 +180540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.548280588,1 +180542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.176430689,1 +180543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.181703408,1 +180544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.5424184,1 +180545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.284662939,1 +180539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.433924596,1 +180546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.300842544,1 +180547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.22414295,1 +180548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.895535956,1 +180549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.372436996,1 +180550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.536519124,1 +180551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.091391591,1 +180552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.009342704,1 +180553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.215420771,1 +180554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.995513365,1 +180555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.717342352,1 +180556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.605053131,1 +180557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.339931202,1 +180558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.706647813,1 +180559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.802075483,1 +180560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.798093025,1 +180562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.063874997,1 +180564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.934926367,1 +180563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.172773584,1 +180561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.553915286,1 +180565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.496798225,1 +180566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.203247289,1 +180567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.648536082,1 +180568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.936628501,1 +180569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.341965837,1 +180570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.020907041,1 +180571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.042601381,1 +180573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.795119108,1 +180575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.353929569,1 +180574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.227647508,1 +180572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.567985733,1 +180576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.429174356,1 +180578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.725280677,1 +180577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.686325147,1 +180580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.619635477,1 +180581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.059112891,1 +180579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.056506426,1 +180582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.781271982,1 +180583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.843591956,1 +180584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.502917744,1 +180586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.122048717,1 +180585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.037537556,1 +180587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.728940308,1 +180588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.671590577,1 +180589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.65200133,1 +180591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.799205732,1 +180593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.058484375,1 +180590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.252762769,1 +180592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.778888337,1 +180594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.494295147,1 +180595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.874294316,1 +180597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.854922819,1 +180596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.194441459,1 +180598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.461473436,1 +180600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.707817339,1 +180599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.539832924,1 +180602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.626348053,1 +180603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.915502478,1 +180604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.248368744,1 +180605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.289883225,1 +180606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,8.407940576,1 +180601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.66190547,1 +180607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.393077388,1 +180610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.009391908,1 +180608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.735463733,1 +180611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.88047129,1 +180609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.356905678,1 +180612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.748609238,1 +180614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.360508045,1 +180613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.054063059,1 +180615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.299737444,1 +180616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.915192097,1 +180617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.045569344,1 +180618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.885932034,1 +180619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.166606707,1 +180621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.45132692,1 +180622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.068061133,1 +180623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.548363626,1 +180620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.303446023,1 +180626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,8.173920401,1 +180625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.903050507,1 +180624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.866995483,1 +180629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.624218838,1 +180628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.149763296,1 +180627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.094714514,1 +180630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.851686561,1 +180631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.189981189,1 +180632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.882636436,1 +180633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.851647344,1 +180634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.010256276,1 +180635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.239215717,1 +180636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.392954526,1 +180638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.465845834,1 +180637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.28140468,1 +180639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.79441433,1 +180640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.180489007,1 +180642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.537436347,1 +180641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.246318093,1 +180643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.439598621,1 +180644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.161969889,1 +180646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.799517383,1 +180645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.647840894,1 +180647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.586226072,1 +180648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.723153387,1 +180649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.238303125,1 +180651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.035979275,1 +180650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.172090443,1 +180652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.387804613,1 +180653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.338890383,1 +180654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.121185193,1 +180655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.165316035,1 +180656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.422158025,1 +180658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.633134609,1 +180657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.35692186,1 +180660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.332111226,1 +180661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.041956417,1 +180662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.071940436,1 +180663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.765634779,1 +180664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.176684794,1 +180659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.855815798,1 +180666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.258592035,1 +180667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.113928047,1 +180668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.929666663,1 +180665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.673044598,1 +180669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.021797685,1 +180671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.451403718,1 +180672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.150162937,1 +180670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.725656955,1 +180673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.649130953,1 +180676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.519406446,1 +180675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.474074697,1 +180677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.288269645,1 +180678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.822321968,1 +180679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.104999017,1 +180674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.99351978,1 +180680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.625869808,1 +180681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.909232627,1 +180683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.494062646,1 +180684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.183049275,1 +180682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.98070482,1 +180685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.502536321,1 +180686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.358777199,1 +180688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.991259467,1 +180689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.012016789,1 +180687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.640760561,1 +180690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.919792113,1 +180692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.190420682,1 +180693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.279066192,1 +180691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.913313018,1 +180696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.717460621,1 +180695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.695712804,1 +180697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.257766656,1 +180698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.2601962,1 +180694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.264443963,1 +180699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.389211827,1 +180700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.95319939,1 +180702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.554384596,1 +180703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.463644264,1 +180701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.986064743,1 +180704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.309121682,1 +180705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.191875336,1 +180707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.807054195,1 +180706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.877710746,1 +180708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.158243544,1 +180710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.697503584,1 +180711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.155064309,1 +180713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.063952487,1 +180714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.63706675,1 +180712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.304078381,1 +180709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.715950617,1 +180717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.96151014,1 +180716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.437444458,1 +180715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.464608793,1 +180718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.103882607,1 +180719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.890559698,1 +180720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.866403136,1 +180721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.997323312,1 +180722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.956272725,1 +180723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.151085105,1 +180724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.362923083,1 +180725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.881675592,1 +180726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.984170263,1 +180728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.169043675,1 +180729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.15078322,1 +180730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.824898008,1 +180727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.479984473,1 +180731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.799420719,1 +180732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.393551047,1 +180734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.105824785,1 +180733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.41724254,1 +180735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.336776209,1 +180736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.863055343,1 +180737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.643541271,1 +180739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.125466539,1 +180738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.529508289,1 +180740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.803625001,1 +180741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.048315527,1 +180742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.279202759,1 +180743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.675812226,1 +180744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.426566111,1 +180746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.267432974,1 +180748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.120371691,1 +180747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.032752309,1 +180745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.257220076,1 +180749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.026615179,1 +180750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.18311892,1 +180751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.986378602,1 +180752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.03436556,1 +180753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.763682156,1 +180755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,8.808443396,1 +180754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.363633768,1 +180756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.247798544,1 +180757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.056331908,1 +180759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.194739016,1 +180760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.348898831,1 +180758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.411031527,1 +180761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.046370259,1 +180762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.114072028,1 +180763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.383657782,1 +180765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.890256256,1 +180767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.613994889,1 +180766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.114017964,1 +180768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.537055861,1 +180764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.961397142,1 +180769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.70002365,1 +180770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.519819207,1 +180771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.992224661,1 +180773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.475712557,1 +180774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.51315388,1 +180775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.055469166,1 +180777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.549762359,1 +180772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.91653763,1 +180776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,8.483170733,1 +180778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.061417317,1 +180779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.394892264,1 +180780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.788025766,1 +180782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.187466817,1 +180781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.21405414,1 +180783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.630548314,1 +180784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.047252087,1 +180785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.740625202,1 +180786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.863129481,1 +180787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.95284169,1 +180789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.269172771,1 +180790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.400463782,1 +180791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.045378073,1 +180792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.934316294,1 +180793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.101986206,1 +180788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.694966741,1 +180795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.397518116,1 +180797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.593953121,1 +180794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.915519793,1 +180796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.104112351,1 +180799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.091903073,1 +180800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.091920235,1 +180801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.920542112,1 +180803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.092413278,1 +180802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.809501478,1 +180804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.934541374,1 +180798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.33845015,1 +180805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.10041266,1 +180807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.853575338,1 +180808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.291208081,1 +180809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.993305412,1 +180806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.472244631,1 +180811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.709660679,1 +180810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.704340062,1 +180812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.599279597,1 +180814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.381103119,1 +180813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.994791158,1 +180815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.1954014,1 +180816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.761270991,1 +180819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.30103576,1 +180818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.213196528,1 +180820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.756894092,1 +180821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.311368745,1 +180817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.552227506,1 +180822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.014214132,1 +180825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.765368707,1 +180824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.219926089,1 +180823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.676997242,1 +180827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.930482842,1 +180829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.413543508,1 +180826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.505218427,1 +180828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.353899819,1 +180830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.673421377,1 +180831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.144038258,1 +180833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.102270458,1 +180832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.707507607,1 +180835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.9574964,1 +180836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.526725819,1 +180837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.999548391,1 +180834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.091433064,1 +180839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.613131389,1 +180838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.925971525,1 +180840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.390237405,1 +180841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,1.705646103,1 +180842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.950178487,1 +180843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.689912551,1 +180845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.979676667,1 +180846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.417511297,1 +180847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.992587983,1 +180848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.211341401,1 +180844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.931715882,1 +180850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,0.796852226,1 +180849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.418652254,1 +180854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.19049865,1 +180853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.605909687,1 +180851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.235782913,1 +180852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.527203674,1 +180857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.312142424,1 +180855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.618091926,1 +180856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.540094288,1 +180858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.241774171,1 +180859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.779955801,1 +180860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.972527487,1 +180861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.639987287,1 +180863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.572860039,1 +180865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.43761142,1 +180864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.835754958,1 +180862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.216147775,1 +180866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,8.547468211,1 +180867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.909233535,1 +180868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.81868838,1 +180870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.783680484,1 +180869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.150416943,1 +180871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.673740056,1 +180872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.892540957,1 +180874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.763888507,1 +180873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.503423564,1 +180875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.405623173,1 +180876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.473927997,1 +180877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.372793715,1 +180878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.975000673,1 +180880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.024522265,1 +180879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.833714821,1 +180883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.817957859,1 +180882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.094466919,1 +180884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.906745319,1 +180886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.936788745,1 +180887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.122962368,1 +180881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.52735951,1 +180885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.032040943,1 +180889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.515723244,1 +180890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.516360789,1 +180888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.538219784,1 +180891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.552269824,1 +180892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.089861308,1 +180893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.262515762,1 +180894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.342271575,1 +180895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.151639198,1 +180896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.121745992,1 +180898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.893433901,1 +180897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.995325699,1 +180899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.444807378,1 +180900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.991832185,1 +180901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.869843442,1 +180904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.493694605,1 +180903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.320293984,1 +180902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.107758762,1 +180905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.058142251,1 +180906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.815191303,1 +180907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.787908776,1 +180908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.687932913,1 +180909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,8.524517251,1 +180910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.902315409,1 +180911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.4697026,1 +180913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.18356601,1 +180912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.207618014,1 +180914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.43983903,1 +180915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.830004982,1 +180916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.062741741,1 +180918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.551939724,1 +180917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.415690143,1 +180919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.211573882,1 +180921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.497988863,1 +180920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.936816295,1 +180923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.934246674,1 +180924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.467231101,1 +180922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.0110279,1 +180925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.548714913,1 +180926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.195048813,1 +180927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.434909031,1 +180929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.709816284,1 +180930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.664632535,1 +180931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.989679229,1 +180928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.148925181,1 +180932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.156683143,1 +180933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.161955018,1 +180935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.270975715,1 +180934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.221216105,1 +180937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.420606704,1 +180936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.859377764,1 +180938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.876409986,1 +180939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.73393805,1 +180940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.867188245,1 +180941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.200400466,1 +180943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.706075653,1 +180944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.817327237,1 +180945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.446839244,1 +180946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.882054726,1 +180942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.280915697,1 +180947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.125466237,1 +180948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.20475065,1 +180950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.112624233,1 +180952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.739269193,1 +180949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.647814608,1 +180951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.721004815,1 +180953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.071937911,1 +180955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.535479772,1 +180956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.798638287,1 +180958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.563325652,1 +180959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.178900738,1 +180954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.070207049,1 +180960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.700297223,1 +180962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.898581555,1 +180961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.617170688,1 +180957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.298262784,1 +180964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.938417414,1 +180966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.045110311,1 +180963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.78770709,1 +180965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.132965215,1 +180967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.312259026,1 +180969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.117291846,1 +180968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.241130913,1 +180970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.763541637,1 +180972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.428672227,1 +180974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.612186726,1 +180973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.22003219,1 +180975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.049163878,1 +180971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.244030563,1 +180976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.59163858,1 +180978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.013757129,1 +180977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.773025733,1 +180979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.449675839,1 +180980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.57716148,1 +180983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.904046129,1 +180982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,2.625223628,1 +180981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.82913292,1 +180984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.360652168,1 +180985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,7.200417748,1 +180986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.204606224,1 +180987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.393501267,1 +180988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.605797682,1 +180990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,6.189077914,1 +180991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.002783132,1 +180989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.575761544,1 +180992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.251784034,1 +180993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.591239339,1 +180995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.803248808,1 +180994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,3.929668165,1 +180996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.802032805,1 +180997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.524432882,1 +180998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,4.70694071,1 +180999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.406882683,1 +181000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,1,1,5.021029533,1 +190001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.229551813,1 +190002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.598291849,1 +190004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.38002936,1 +190005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.770931263,1 +190003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.925915768,1 +190006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.710500693,1 +190007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.827651005,1 +190008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.23090469,1 +190009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.679705002,1 +190011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.057445124,1 +190012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.371083736,1 +190010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.771924088,1 +190013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.101401341,1 +190014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.662539398,1 +190015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.45045488,1 +190016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.284858818,1 +190019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.597037256,1 +190020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.750199716,1 +190018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.46600504,1 +190021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.875416094,1 +190023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.448792381,1 +190022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.099507446,1 +190017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.93628755,1 +190024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.584480052,1 +190025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.270329143,1 +190027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.943891152,1 +190028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.032069174,1 +190029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.349142362,1 +190030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.776033874,1 +190031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,1.987687645,1 +190026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.071842878,1 +190032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.990616844,1 +190033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.623724555,1 +190035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.472516284,1 +190034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.781876858,1 +190036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.985826885,1 +190038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.190001379,1 +190039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.663247557,1 +190040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.924480574,1 +190042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.340717522,1 +190041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.617016002,1 +190043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.742503474,1 +190037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.037053898,1 +190044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,1.536568109,1 +190046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.341257593,1 +190047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.86989063,1 +190048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.351731175,1 +190049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.462410997,1 +190050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.843731223,1 +190045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.089231188,1 +190051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.958618278,1 +190053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.826357727,1 +190054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.924463482,1 +190052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.476105942,1 +190058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.880895348,1 +190055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.409550325,1 +190057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.055067232,1 +190059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.941363169,1 +190060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.180070318,1 +190061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.67396341,1 +190062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.37015972,1 +190063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.20531893,1 +190056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.634207385,1 +190064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.262854072,1 +190067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.897855183,1 +190066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.751888161,1 +190065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.982155491,1 +190068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.266626974,1 +190070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.485636896,1 +190069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.157716511,1 +190071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.899459583,1 +190072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.874236107,1 +190074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.446816136,1 +190075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.658032264,1 +190073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.1703273,1 +190076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.735667722,1 +190078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.038249953,1 +190079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.169972791,1 +190080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.038684197,1 +190081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.819969086,1 +190077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.442567904,1 +190083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.338828983,1 +190084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.511001282,1 +190085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.406129766,1 +190082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.796022484,1 +190087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.952626381,1 +190086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,1.586399096,1 +190088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.307027807,1 +190090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.677831977,1 +190091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.986427262,1 +190089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.580117783,1 +190092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.810510341,1 +190093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.023808211,1 +190094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.747543182,1 +190095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.460356653,1 +190098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.460461231,1 +190097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.151028518,1 +190096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.689759711,1 +190099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.410215106,1 +190101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.139785658,1 +190100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.425691267,1 +190102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.369206399,1 +190103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.773762163,1 +190104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.783295455,1 +190105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.128959643,1 +190106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.778994113,1 +190107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.590277771,1 +190109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.069100437,1 +190110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.500543053,1 +190108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.572166952,1 +190112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.004563276,1 +190111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.442459631,1 +190114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.079230479,1 +190116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.107655889,1 +190115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.571679956,1 +190117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.600533268,1 +190118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.072552054,1 +190119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.310846811,1 +190113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.154039692,1 +190120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.053679497,1 +190121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.15570814,1 +190122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.306034647,1 +190125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.012210456,1 +190123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.047669357,1 +190124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.339471873,1 +190126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.61865144,1 +190128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.674658331,1 +190129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.421637182,1 +190130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.065539527,1 +190127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.784286813,1 +190131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.271456829,1 +190132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.125195988,1 +190133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.367391239,1 +190134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.585749362,1 +190136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.333135526,1 +190137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.021882739,1 +190138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.432171084,1 +190139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.71604801,1 +190140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.327694434,1 +190141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.968616316,1 +190135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.885245548,1 +190143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.600339067,1 +190144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.853547109,1 +190142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.808123389,1 +190145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.587811685,1 +190146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.396120495,1 +190148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.749117083,1 +190149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.132157046,1 +190147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.125025514,1 +190150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.468084793,1 +190152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.240831182,1 +190153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.012112582,1 +190151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.631809502,1 +190154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.497231195,1 +190155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.536627599,1 +190157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.683151566,1 +190158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.678139523,1 +190156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.972641544,1 +190159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.858921792,1 +190161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.351614722,1 +190163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.657509155,1 +190162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.790351705,1 +190164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.067664394,1 +190160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.429922567,1 +190165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.386490647,1 +190166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.788710136,1 +190167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.667822303,1 +190169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.159324114,1 +190170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.282799802,1 +190171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.855664377,1 +190168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.033371725,1 +190172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.989564926,1 +190175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.225688535,1 +190173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.910496773,1 +190174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.256259909,1 +190176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.815545692,1 +190177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.069003889,1 +190178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.195633193,1 +190179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.546483956,1 +190180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.702303195,1 +190183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.323786497,1 +190182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.889755669,1 +190184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.272221613,1 +190181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.72879579,1 +190185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.987075698,1 +190186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.673654841,1 +190188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.111956737,1 +190189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.204698584,1 +190187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.877987528,1 +190190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.632216956,1 +190191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.208183918,1 +190193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.344057135,1 +190192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.116301139,1 +190195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.52437751,1 +190194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.586442607,1 +190196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.997102874,1 +190197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.408237464,1 +190199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.622066667,1 +190200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.475094231,1 +190201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.330593001,1 +190202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.968885675,1 +190204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.287233657,1 +190203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.358144987,1 +190198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,8.960043911,1 +190207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.778108009,1 +190206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.391649311,1 +190208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.889350345,1 +190209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.256066366,1 +190205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.981416201,1 +190211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.338214845,1 +190210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.724978393,1 +190212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.175072836,1 +190213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.523313892,1 +190214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.393204421,1 +190216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.955835394,1 +190215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.269112105,1 +190218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.945598416,1 +190217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.301239565,1 +190220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.175956439,1 +190219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.813023853,1 +190221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.261726422,1 +190222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.76882528,1 +190224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.019658195,1 +190223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.387410609,1 +190225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.87725989,1 +190227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.791232245,1 +190226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.93059218,1 +190229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.134647214,1 +190228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.027029361,1 +190230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.261099596,1 +190232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.475001263,1 +190231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.251427037,1 +190233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.911437385,1 +190234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.778153089,1 +190235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.753936515,1 +190237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.631033963,1 +190236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.817110139,1 +190238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.849470178,1 +190239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.711202896,1 +190240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.960760801,1 +190241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.242307775,1 +190242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.374828132,1 +190243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.940084406,1 +190244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.756168286,1 +190246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.864804308,1 +190245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.486014991,1 +190247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.457096075,1 +190250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.571286023,1 +190249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.166574617,1 +190248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.073523509,1 +190251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.974917433,1 +190254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.667681451,1 +190252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.37677886,1 +190253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.15269673,1 +190255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.35554325,1 +190256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.071019317,1 +190259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.134244701,1 +190258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.554088446,1 +190257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.736060843,1 +190262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.865785116,1 +190261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.641100499,1 +190260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.679025064,1 +190264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.74077246,1 +190265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.770236849,1 +190263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.804173118,1 +190266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.743508843,1 +190267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.882451195,1 +190268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.887323257,1 +190269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.844515236,1 +190270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.017766119,1 +190271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.152533142,1 +190272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.034289907,1 +190273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.742306838,1 +190274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.188020382,1 +190275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.095145273,1 +190276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.804305769,1 +190278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.861414399,1 +190279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.447224309,1 +190280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.587917155,1 +190277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.895884164,1 +190282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.125715576,1 +190281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.50615199,1 +190284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.333319907,1 +190285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.762552247,1 +190286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.874933643,1 +190283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.190738158,1 +190287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.17956701,1 +190288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,8.017870327,1 +190289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.757389293,1 +190290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.807220278,1 +190291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.875798922,1 +190293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.775922738,1 +190292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.051724426,1 +190294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.285965835,1 +190297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.940683893,1 +190295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.716990819,1 +190298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.037517918,1 +190296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.121973664,1 +190299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.726834334,1 +190300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.011987402,1 +190302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.941778424,1 +190303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.830869768,1 +190304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.597082234,1 +190305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.387857607,1 +190301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.951815026,1 +190306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.499789478,1 +190307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.336090209,1 +190308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.400708122,1 +190310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.247791861,1 +190309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.347452965,1 +190312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.020524358,1 +190313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.039096148,1 +190311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.406079274,1 +190314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.830151766,1 +190315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.901508027,1 +190316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.352184961,1 +190318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.683376382,1 +190317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.60746794,1 +190320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.975931565,1 +190319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.79933334,1 +190322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.868971338,1 +190324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.256621459,1 +190323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.411765837,1 +190321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.72710727,1 +190325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,1.690560481,1 +190328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.51952888,1 +190327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.663863383,1 +190326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.767312021,1 +190329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.165987743,1 +190331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.25950476,1 +190330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.498632142,1 +190332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.487713047,1 +190333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.034131568,1 +190335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.009835649,1 +190334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.575035027,1 +190336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.613957358,1 +190337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.524803127,1 +190338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.263121453,1 +190339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.47218931,1 +190340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.033973396,1 +190341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.113109719,1 +190344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.566849738,1 +190343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.141894552,1 +190342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.312890384,1 +190346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.977897934,1 +190347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.867602581,1 +190345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.455273208,1 +190348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.271475324,1 +190349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.4105919,1 +190350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.097396173,1 +190352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.178015821,1 +190353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.869385877,1 +190354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.57160663,1 +190355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.190295287,1 +190351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.391722858,1 +190356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.121444907,1 +190359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.648560488,1 +190357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.396281059,1 +190358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.566859721,1 +190360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.843643174,1 +190363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.710302625,1 +190361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.888107112,1 +190362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.166671258,1 +190364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.132869638,1 +190365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.501177216,1 +190367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.414846232,1 +190368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.525182953,1 +190369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,9.802830711,1 +190370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.085907577,1 +190371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.394372223,1 +190366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.790363842,1 +190373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.22701781,1 +190374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.018096458,1 +190372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.88337416,1 +190375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.859054589,1 +190377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.339092917,1 +190376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.265341089,1 +190378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.734102728,1 +190379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.59047933,1 +190381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.880707427,1 +190380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.237688435,1 +190382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.724358223,1 +190384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.968668104,1 +190385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.339919492,1 +190386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.041689197,1 +190387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.954472502,1 +190388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.528082882,1 +190383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.048607104,1 +190389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.967965104,1 +190392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.824834096,1 +190391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.762602199,1 +190390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.545737069,1 +190393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.071732685,1 +190395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.392288631,1 +190394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.486592725,1 +190396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.650864515,1 +190397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.682469024,1 +190399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.415106654,1 +190398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.697134672,1 +190400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.708483178,1 +190401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.882211262,1 +190403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.811160088,1 +190404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.340166148,1 +190405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.385271361,1 +190407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.71385601,1 +190402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.186304353,1 +190408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.047633723,1 +190406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.885398179,1 +190409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.229847592,1 +190410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.525185106,1 +190411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.879943663,1 +190413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.77243394,1 +190415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.782249223,1 +190414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.270463741,1 +190412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.968826679,1 +190416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.686250247,1 +190417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.234942001,1 +190418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.34567475,1 +190419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.09893193,1 +190420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.070869227,1 +190421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.305682371,1 +190423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.090008216,1 +190422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.521546084,1 +190424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.834221731,1 +190425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.333616861,1 +190427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.047182018,1 +190428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.594437972,1 +190429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.061651067,1 +190430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.471445827,1 +190431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.747172949,1 +190432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.406956027,1 +190426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.051558863,1 +190436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.2035289,1 +190435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.767793322,1 +190434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.768680993,1 +190433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.3461297,1 +190437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.595268605,1 +190439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.109577684,1 +190438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.491591119,1 +190441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.011926343,1 +190442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.650177137,1 +190443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.6792307,1 +190440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.625496559,1 +190446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.325884494,1 +190445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.216512029,1 +190444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.938696746,1 +190447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.305469978,1 +190449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.575664834,1 +190448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.378099341,1 +190450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.318199928,1 +190451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.658812277,1 +190453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.69774533,1 +190452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.705120378,1 +190454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.921457397,1 +190456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.038183773,1 +190457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.17243488,1 +190458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.789639919,1 +190455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.945144483,1 +190459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.086301114,1 +190461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.731402459,1 +190460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.253618928,1 +190463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.124286638,1 +190465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.167234668,1 +190462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.718096663,1 +190464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.152293855,1 +190466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.996551182,1 +190467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.630679823,1 +190468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.639100298,1 +190470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.742324229,1 +190469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.002279046,1 +190471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.988147549,1 +190472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.627958349,1 +190473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.621020858,1 +190474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.707131471,1 +190475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.458709815,1 +190477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.75120004,1 +190478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.753672675,1 +190479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.702417201,1 +190476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.476876507,1 +190482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.62241275,1 +190480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.849742837,1 +190481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.183111031,1 +190483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.685238502,1 +190484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.737181686,1 +190485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.286326621,1 +190486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.368122805,1 +190487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.317402558,1 +190488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.482464399,1 +190489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.181950394,1 +190490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.756590192,1 +190491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.66796345,1 +190492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.785854414,1 +190494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.392957793,1 +190493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.329583345,1 +190496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.945594795,1 +190497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.078183004,1 +190498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.270828482,1 +190495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.131017553,1 +190500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.296330235,1 +190501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.235369895,1 +190502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.439933035,1 +190499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.723190328,1 +190503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.254026487,1 +190504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.036071118,1 +190505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.657850256,1 +190507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.596982658,1 +190508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.943501512,1 +190506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.34602511,1 +190510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.219282691,1 +190509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.460919454,1 +190512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.820944699,1 +190511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.489869608,1 +190514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.916611498,1 +190515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.438275681,1 +190513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.143189572,1 +190516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.491953249,1 +190517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.147391084,1 +190519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.738907415,1 +190520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.985772077,1 +190521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.630914817,1 +190522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.832791511,1 +190518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.539799282,1 +190523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.847448073,1 +190525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.118053547,1 +190524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.328991502,1 +190526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.169533101,1 +190527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.16606459,1 +190530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,10.60539722,1 +190529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.371530926,1 +190528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.913554684,1 +190531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.344115164,1 +190532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.595348144,1 +190533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.723496885,1 +190534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.712711893,1 +190535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.265517151,1 +190537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.014745774,1 +190538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.695179414,1 +190539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.777729833,1 +190536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.16563048,1 +190541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.095237869,1 +190540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.398705016,1 +190542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.208058188,1 +190543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.25462307,1 +190544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.677709937,1 +190545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.955653208,1 +190547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.175675021,1 +190546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.587405143,1 +190548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.111603881,1 +190550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.466940518,1 +190549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.596788686,1 +190551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.657129298,1 +190552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.773783081,1 +190553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.418040472,1 +190555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.205359967,1 +190554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.721364471,1 +190556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.08671124,1 +190558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.551738285,1 +190560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.564419327,1 +190557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.297751586,1 +190561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.343936465,1 +190562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.436926166,1 +190559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.94941085,1 +190563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.644412646,1 +190564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.565584275,1 +190565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.701690654,1 +190567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.922781185,1 +190568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.780208621,1 +190569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.908273729,1 +190570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.181776303,1 +190571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.240666326,1 +190572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.090944331,1 +190566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.643846241,1 +190576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.394146179,1 +190573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.536301282,1 +190575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.070059995,1 +190574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.573469355,1 +190578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.363725274,1 +190577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.260039572,1 +190579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.588858617,1 +190580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.258569585,1 +190581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.718334358,1 +190583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.669214876,1 +190584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.661990536,1 +190585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.004248372,1 +190586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.180911132,1 +190587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.084626527,1 +190582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.706143846,1 +190588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.564559242,1 +190591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.937467294,1 +190589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.547632959,1 +190592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.2199679,1 +190593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.789157735,1 +190594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.066411108,1 +190590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.730727589,1 +190595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.904267582,1 +190597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.295021808,1 +190596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.096067107,1 +190599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.646748226,1 +190598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.968978752,1 +190600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.50380733,1 +190602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.62273487,1 +190603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.20505021,1 +190601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.94407775,1 +190604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.359107206,1 +190606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.216127508,1 +190605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.595670806,1 +190607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.862119779,1 +190608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.257274816,1 +190610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.069905383,1 +190612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.482855873,1 +190611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.955130881,1 +190613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.522574475,1 +190609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.568928429,1 +190614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.651088945,1 +190615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.390104689,1 +190616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.384506097,1 +190617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.750761202,1 +190618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.794304011,1 +190620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.766360201,1 +190621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.253322211,1 +190619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.588265416,1 +190622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.043320207,1 +190623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.324751758,1 +190625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.588573136,1 +190624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.248925629,1 +190626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.94688805,1 +190627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.927874277,1 +190629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.541832656,1 +190630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.892044501,1 +190628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.356842077,1 +190631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.803596625,1 +190633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.614268971,1 +190634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.691271474,1 +190635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.072649214,1 +190632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.605841507,1 +190636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.739629287,1 +190638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.115511958,1 +190637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.948857545,1 +190639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.427629193,1 +190640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.464734655,1 +190641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.358696857,1 +190643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.363299852,1 +190642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.102412503,1 +190644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.227830055,1 +190645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.731672373,1 +190646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.461813347,1 +190648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.380226374,1 +190647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.322489442,1 +190649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.174681597,1 +190651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.993834138,1 +190650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.282422841,1 +190653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.952868773,1 +190654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.286699133,1 +190656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.447671076,1 +190655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.911834081,1 +190652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.934754463,1 +190657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.929505359,1 +190658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.519423613,1 +190659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.898497547,1 +190661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.483834137,1 +190662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.443349465,1 +190663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.541796421,1 +190660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.038937755,1 +190666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.418489668,1 +190665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.111599137,1 +190664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.37491218,1 +190667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.848707065,1 +190668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.219656144,1 +190669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,8.964877716,1 +190670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.603777316,1 +190671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.674434067,1 +190672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.604044302,1 +190673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.11243581,1 +190674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.05464473,1 +190676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.830149619,1 +190677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.350851655,1 +190678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.978280706,1 +190675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.430296998,1 +190679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.811158625,1 +190680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.356703015,1 +190681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.381088947,1 +190682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.593114855,1 +190683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.451318834,1 +190685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.775047952,1 +190686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.034082317,1 +190687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.486447499,1 +190688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.558432608,1 +190684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.629718648,1 +190689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.773068373,1 +190690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.866529334,1 +190691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.152553933,1 +190692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.123309004,1 +190694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.221857335,1 +190695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.227098133,1 +190696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.113566513,1 +190693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.254015511,1 +190697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.40886248,1 +190699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.697231959,1 +190698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.776740296,1 +190700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.433494618,1 +190701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.360486205,1 +190703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.135259015,1 +190704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.214442518,1 +190705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.004938689,1 +190706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.11967425,1 +190702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.779312394,1 +190708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.179555639,1 +190707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,8.444321722,1 +190709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.85697772,1 +190710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.862799611,1 +190711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.086224785,1 +190713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.936526482,1 +190712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.499666892,1 +190714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.190529718,1 +190715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.112830773,1 +190718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.074309196,1 +190717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.964686125,1 +190716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.206138856,1 +190719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.748031605,1 +190721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.801703407,1 +190720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.845206998,1 +190722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.820380923,1 +190723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.947053854,1 +190726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.387724148,1 +190724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.897701609,1 +190727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.651694007,1 +190728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.828167525,1 +190725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.665111572,1 +190729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.056679816,1 +190730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.762902758,1 +190731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.803902825,1 +190732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.082038355,1 +190734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.053276258,1 +190735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.868720849,1 +190733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.799995819,1 +190736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.161157173,1 +190737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.677588328,1 +190738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.432420195,1 +190740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.485025763,1 +190739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.571070708,1 +190741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.499988751,1 +190742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.166510525,1 +190743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.651242894,1 +190746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.156045283,1 +190744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.776789915,1 +190745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.722872235,1 +190747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.990357037,1 +190748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.940228137,1 +190749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.737652124,1 +190750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.185605298,1 +190751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.296336324,1 +190752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.107177687,1 +190753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.99598707,1 +190755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.037361108,1 +190756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.270180001,1 +190757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.4299324,1 +190754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.194061731,1 +190758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,8.406067135,1 +190759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.879332465,1 +190760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.584346552,1 +190761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.019666473,1 +190763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.382357808,1 +190762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.313789244,1 +190764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.206960162,1 +190766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.115256389,1 +190767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.023429726,1 +190768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.190012148,1 +190765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.358982312,1 +190770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.123259594,1 +190769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.405565742,1 +190771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.086375719,1 +190773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.308691952,1 +190774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.195926176,1 +190772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.665572347,1 +190775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.653993667,1 +190776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.892766146,1 +190777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.655258232,1 +190779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.512776635,1 +190778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.665072805,1 +190780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.218040933,1 +190781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.524590681,1 +190782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.65728321,1 +190783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.519318018,1 +190784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.44441052,1 +190785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.223439297,1 +190786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.901899712,1 +190788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.189433582,1 +190789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.995451103,1 +190787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.385526165,1 +190790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.970860593,1 +190791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.723956298,1 +190792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.99471193,1 +190794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.978231868,1 +190793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.11894372,1 +190795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.993308751,1 +190796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.427086272,1 +190797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.457227596,1 +190799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.59183781,1 +190798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.098878335,1 +190800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.544051698,1 +190801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.940982647,1 +190802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.15263998,1 +190803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.88005053,1 +190804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.668163388,1 +190805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.368950939,1 +190806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.391406859,1 +190810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.865403715,1 +190807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.007121881,1 +190809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.013824071,1 +190808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.547716411,1 +190811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.158291271,1 +190813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.385721028,1 +190812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.557908068,1 +190815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.310139704,1 +190816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.909930718,1 +190814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.048361555,1 +190817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.22398462,1 +190818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.226344001,1 +190819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.102905914,1 +190820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.820866223,1 +190821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.763872658,1 +190822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.34007668,1 +190823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.285466077,1 +190824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.707807768,1 +190827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.623107709,1 +190826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.846699111,1 +190825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.740642496,1 +190829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.982534009,1 +190830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.171097496,1 +190833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.475105473,1 +190828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.320805867,1 +190832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.498963388,1 +190831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.571833391,1 +190834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.52952799,1 +190835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,8.013571957,1 +190837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.239058454,1 +190836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.923399841,1 +190838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.627997615,1 +190839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.258977087,1 +190840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.399163732,1 +190841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.595071396,1 +190842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.430235435,1 +190843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.622927814,1 +190845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.524500903,1 +190846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.526213691,1 +190847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.509411587,1 +190848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.983370262,1 +190849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.875938894,1 +190851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.985655514,1 +190844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.252547839,1 +190850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.440190189,1 +190852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.442179123,1 +190853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.478532153,1 +190854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.213304051,1 +190855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.855897407,1 +190856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.830448125,1 +190857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.683411094,1 +190858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.15505373,1 +190859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.534453941,1 +190860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.70545046,1 +190861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.716684266,1 +190863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.283751241,1 +190864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.019676499,1 +190865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.92771516,1 +190867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.958675693,1 +190862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.122604351,1 +190866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.168890872,1 +190869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.888507563,1 +190871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.563408417,1 +190868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.364571969,1 +190870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.285416691,1 +190872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.528342126,1 +190873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.375515254,1 +190875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.022087052,1 +190876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.839174926,1 +190874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.412461698,1 +190877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.950857004,1 +190878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.721515786,1 +190879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.179652421,1 +190881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.644428003,1 +190880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.616941459,1 +190883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.26086844,1 +190884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,1.360637548,1 +190882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.069410952,1 +190885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.898364414,1 +190886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.379078289,1 +190887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.088727893,1 +190888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.308960486,1 +190890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.36100859,1 +190891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.899945133,1 +190892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.440936309,1 +190889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.417444386,1 +190893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.286820782,1 +190894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.09793813,1 +190895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.26864927,1 +190897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.995401757,1 +190896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.272959708,1 +190898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.181923037,1 +190899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.089181092,1 +190900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.067024412,1 +190901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.868131562,1 +190902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.105679139,1 +190903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.10634431,1 +190905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.519023341,1 +190904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.419227696,1 +190906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.32034251,1 +190907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.009528069,1 +190908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.555538597,1 +190909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.136563586,1 +190910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.679354974,1 +190912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.192017409,1 +190911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.896287374,1 +190914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.283540647,1 +190915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.659062357,1 +190913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.463016117,1 +190916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.355077131,1 +190917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.909970841,1 +190918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.655647708,1 +190919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.899866381,1 +190920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.071930897,1 +190922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.14066697,1 +190921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.518557703,1 +190923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.842822247,1 +190925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.497331651,1 +190924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.335027065,1 +190926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.201721698,1 +190927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.623918446,1 +190928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.60811998,1 +190930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.228363456,1 +190932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.478977894,1 +190931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.951625107,1 +190933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.211813819,1 +190929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,1.806178891,1 +190934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.821157245,1 +190936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.627058498,1 +190935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.672763069,1 +190938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.568467765,1 +190937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.424646366,1 +190939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.797712998,1 +190942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.327903162,1 +190941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.159409024,1 +190943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.309297049,1 +190940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.897538606,1 +190944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.67784887,1 +190947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.926919287,1 +190945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.991388538,1 +190946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.614229587,1 +190948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.298117857,1 +190950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,8.167776076,1 +190951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.862931918,1 +190953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.90278842,1 +190952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.05135655,1 +190954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.856150928,1 +190949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.376589892,1 +190955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.563126042,1 +190956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.854937167,1 +190957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.789328413,1 +190958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.962610461,1 +190959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.850216966,1 +190960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.062865789,1 +190961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.928814122,1 +190962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.547720534,1 +190963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,1.784133051,1 +190965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.165425657,1 +190966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.999010627,1 +190967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.432562351,1 +190968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.918303592,1 +190969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.494128579,1 +190970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.227914347,1 +190964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.740583832,1 +190971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.942643775,1 +190973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.408677199,1 +190974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,7.672943381,1 +190975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.404907273,1 +190972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.937490643,1 +190977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.105653433,1 +190976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.328929505,1 +190978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.817686535,1 +190979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.823758941,1 +190980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.93161137,1 +190981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,2.470391305,1 +190982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.539367044,1 +190983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.603627775,1 +190985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.088915552,1 +190986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.697794676,1 +190987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.904780762,1 +190988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.700971192,1 +190984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.389571821,1 +190989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.648160933,1 +190990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.321959656,1 +190991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.108981353,1 +190992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.022839604,1 +190993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,6.437369199,1 +190995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.033644165,1 +190994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.651736144,1 +190996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.420195948,1 +190998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.543522545,1 +190997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,4.932810352,1 +190999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,3.251272489,1 +191000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,1,1,5.105012434,1 +200002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.121387974,1 +200001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.38445027,1 +200003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.842064778,1 +200005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.976494482,1 +200006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.997828794,1 +200007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.822891196,1 +200008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,8.672065135,1 +200009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.064556482,1 +200010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,8.366260412,1 +200004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.126845868,1 +200011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.096831738,1 +200012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.090292008,1 +200014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.292801407,1 +200013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.488707492,1 +200015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.258877273,1 +200016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.15378734,1 +200018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.633572174,1 +200017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.867228924,1 +200019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.82332089,1 +200020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.971999523,1 +200022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.398859215,1 +200021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.366080962,1 +200023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.94481316,1 +200024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.12738786,1 +200026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.183376859,1 +200027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.369054891,1 +200028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.122726896,1 +200029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.861347421,1 +200031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.54633214,1 +200030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.528583837,1 +200025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.068426444,1 +200034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.731102195,1 +200035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.717621465,1 +200032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.56323543,1 +200033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.317504455,1 +200036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.882030759,1 +200037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.845570964,1 +200038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.263677776,1 +200039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.238302188,1 +200040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.145394947,1 +200041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.037356876,1 +200042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.996006994,1 +200043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.929671693,1 +200044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.666643595,1 +200046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.372324479,1 +200047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.259842785,1 +200049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.178350677,1 +200050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.363254936,1 +200048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.535877588,1 +200045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.316100119,1 +200052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.335851477,1 +200051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.495794416,1 +200053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.846525377,1 +200054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.310006311,1 +200056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.023672464,1 +200057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.694573617,1 +200055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.107901842,1 +200059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.504505363,1 +200060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.746857581,1 +200058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.929239609,1 +200061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.067589048,1 +200063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.230981208,1 +200062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.089871528,1 +200064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.926282197,1 +200065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,8.980968047,1 +200066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.809581099,1 +200068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.43122632,1 +200067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.542577501,1 +200070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.631597009,1 +200069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.140161166,1 +200071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.173063798,1 +200073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.378358908,1 +200074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.083177247,1 +200072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.113571925,1 +200075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.375994584,1 +200077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.346947892,1 +200078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.27226799,1 +200076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.952131498,1 +200079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.805858652,1 +200082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.279237021,1 +200081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.692273584,1 +200080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.101148627,1 +200083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.244147287,1 +200084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.445614813,1 +200086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.038255648,1 +200088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.510394239,1 +200087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.554193165,1 +200089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.999205493,1 +200085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.214936535,1 +200090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.766067776,1 +200091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.906713592,1 +200092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.870361381,1 +200093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.865608766,1 +200096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.844756545,1 +200094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.860550431,1 +200095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.171070241,1 +200097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.868080463,1 +200099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.971375217,1 +200100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.608231414,1 +200101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.526120134,1 +200102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.992996165,1 +200103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.386812105,1 +200098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.140207838,1 +200105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.538530409,1 +200106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.727816513,1 +200104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.81604295,1 +200107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.609244462,1 +200108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.191323589,1 +200110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.445696011,1 +200111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.974491425,1 +200109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.784957353,1 +200112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.972059514,1 +200113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.736399534,1 +200114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.622860101,1 +200115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.523409804,1 +200116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.510295983,1 +200117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.302513591,1 +200119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.427039424,1 +200120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.516519548,1 +200118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.868131146,1 +200122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.678502082,1 +200121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.100004698,1 +200123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.747480172,1 +200124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.552942022,1 +200126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.992820604,1 +200125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,9.249351771,1 +200127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.106995314,1 +200128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.346593745,1 +200129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.92303308,1 +200130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.547499536,1 +200133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.07408975,1 +200132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.964551191,1 +200131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.362079514,1 +200134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.258039223,1 +200137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.814253286,1 +200135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.395132942,1 +200138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.697800965,1 +200136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.457391495,1 +200140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.786435807,1 +200139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.19170363,1 +200141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.547491992,1 +200142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.646915776,1 +200143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.576679375,1 +200144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.516287644,1 +200146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.320288281,1 +200145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.590049199,1 +200147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.364713752,1 +200148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.902885209,1 +200150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.091646116,1 +200151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.358985311,1 +200149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.53111689,1 +200152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.406498695,1 +200154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.655994176,1 +200153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.287929311,1 +200155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.389515495,1 +200156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.796409086,1 +200158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.349059325,1 +200157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.411643669,1 +200160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.26855142,1 +200159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.121712614,1 +200161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.959408139,1 +200163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.308227923,1 +200164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.569090092,1 +200162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.946025879,1 +200165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.301181407,1 +200166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.105886827,1 +200167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.032685799,1 +200170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.832779566,1 +200168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.158476222,1 +200169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.781236274,1 +200171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.370867379,1 +200174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.429329645,1 +200172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.597474724,1 +200173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.411336221,1 +200175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.398582483,1 +200177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.64694813,1 +200176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.398061663,1 +200179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.019043442,1 +200180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.079355186,1 +200181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.237417998,1 +200182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.605758687,1 +200183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.733909049,1 +200178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.365815254,1 +200184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.197520324,1 +200185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.966361883,1 +200187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.450263234,1 +200186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.832293771,1 +200188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.845790466,1 +200189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.204458251,1 +200190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.551871747,1 +200191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.472619846,1 +200192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.396520261,1 +200193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.262416588,1 +200195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.488257617,1 +200194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.017602872,1 +200196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.241520414,1 +200197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.310888518,1 +200198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.687983271,1 +200200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.859217639,1 +200199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.286938295,1 +200201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.39728083,1 +200202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.364436605,1 +200203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.845372191,1 +200204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.758821449,1 +200205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.604671848,1 +200206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.100243013,1 +200207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.286433852,1 +200209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.670589782,1 +200210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.652201533,1 +200208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.280750914,1 +200211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.599565718,1 +200213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.53957365,1 +200212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.549489593,1 +200214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.502254776,1 +200215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.052406508,1 +200216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.32009458,1 +200217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.712106694,1 +200218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.579515203,1 +200219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.120659963,1 +200221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.464378271,1 +200220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.770524213,1 +200222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.466266743,1 +200223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.268450179,1 +200224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.359856766,1 +200225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.226934995,1 +200227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.490324439,1 +200229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.749230921,1 +200228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.171038489,1 +200226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.748458331,1 +200230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.224017656,1 +200232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.180356249,1 +200231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.701464611,1 +200233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.583853347,1 +200234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.626221903,1 +200235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.445497112,1 +200237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.554577868,1 +200238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.288135888,1 +200239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.203525922,1 +200236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.231794648,1 +200241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.369773332,1 +200242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.963900392,1 +200240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.393125055,1 +200244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.502830657,1 +200245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.478394641,1 +200243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.471201546,1 +200246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.994129907,1 +200249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.638050082,1 +200250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.096697601,1 +200248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.438562789,1 +200247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.5024562,1 +200251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.149414689,1 +200253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.928976115,1 +200254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.547223771,1 +200256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.758142024,1 +200257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.715350721,1 +200252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.641466116,1 +200258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.396968466,1 +200255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.92814406,1 +200259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.197277065,1 +200260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.539383923,1 +200263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,1.555143943,1 +200261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.080868008,1 +200262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.214393748,1 +200264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.999942156,1 +200267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.9917027,1 +200266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.992942105,1 +200268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.628885162,1 +200265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.0804995,1 +200269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.796442438,1 +200270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.370545613,1 +200272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.133976257,1 +200273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.847888297,1 +200274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.488202923,1 +200275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,8.575431883,1 +200271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.567770836,1 +200277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.832560149,1 +200278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.801346032,1 +200279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.869194675,1 +200276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.65474559,1 +200280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.006586545,1 +200283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.276539601,1 +200282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.033133707,1 +200281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.549512686,1 +200285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.43092053,1 +200284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.87677775,1 +200286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.80092505,1 +200287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.477043246,1 +200288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.971363229,1 +200289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.675983966,1 +200291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.357137114,1 +200290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.066418611,1 +200293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.498263698,1 +200294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.356481189,1 +200292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.705442882,1 +200295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.411216632,1 +200297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.410818444,1 +200296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.473974386,1 +200298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.775980192,1 +200299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.304610821,1 +200301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.870951778,1 +200302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.209020947,1 +200300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.627063059,1 +200303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.976489344,1 +200304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.97691714,1 +200305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.578481047,1 +200306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.426394357,1 +200308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.066587462,1 +200310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.75062001,1 +200309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.205256172,1 +200307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.478906309,1 +200312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.909646567,1 +200311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.850918345,1 +200313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.526159305,1 +200314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.968856208,1 +200315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.395526289,1 +200316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.356580611,1 +200317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.057697524,1 +200318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.016451725,1 +200319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.05056962,1 +200321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.305568671,1 +200320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.915646206,1 +200323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.72072978,1 +200324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.752930231,1 +200325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.712666512,1 +200322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.948349432,1 +200328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.489725004,1 +200326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.011698979,1 +200329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.414407474,1 +200327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.570129899,1 +200330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.017341943,1 +200331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.921990808,1 +200332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.022559324,1 +200333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.578765842,1 +200334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.887890567,1 +200335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.483255532,1 +200337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.412040019,1 +200336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.936072219,1 +200338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.60282768,1 +200339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.637488105,1 +200341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.495431304,1 +200343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.358390761,1 +200340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.696371125,1 +200342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.856750755,1 +200344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.940699201,1 +200346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.580393931,1 +200347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.775918554,1 +200348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.879732999,1 +200349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.258657238,1 +200350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.204632561,1 +200351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.628423043,1 +200345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.191854012,1 +200353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.820550311,1 +200354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.15447641,1 +200352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.385242098,1 +200355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.606667562,1 +200357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.058173038,1 +200356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.757206272,1 +200358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.245425149,1 +200359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.99362139,1 +200360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.143028878,1 +200361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.608771594,1 +200363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.020440383,1 +200362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.963811741,1 +200364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.640667603,1 +200365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,8.980341137,1 +200368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.205716556,1 +200369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.067988544,1 +200366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.101410402,1 +200372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.672898851,1 +200367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.147002236,1 +200370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.669889446,1 +200371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.837250938,1 +200374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.830899395,1 +200375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.683691557,1 +200373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.35029065,1 +200376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.925527611,1 +200377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.774542858,1 +200378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.872712551,1 +200379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.598560318,1 +200380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.341601715,1 +200381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.116943088,1 +200382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.222172637,1 +200384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.232430897,1 +200383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.457183029,1 +200386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.208089127,1 +200387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.308509371,1 +200385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.053864557,1 +200388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.860190997,1 +200389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.731382336,1 +200391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.939615726,1 +200390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.779871743,1 +200393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.181829493,1 +200394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.288994734,1 +200395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.455483678,1 +200397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.272459741,1 +200396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.598424232,1 +200398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.264975495,1 +200392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.141543367,1 +200401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.611425558,1 +200400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.26964125,1 +200402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,9.380315858,1 +200399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.591389957,1 +200403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.315769959,1 +200405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.474616567,1 +200406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.284228245,1 +200404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.967431785,1 +200409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.666237245,1 +200407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.267948303,1 +200408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.663756707,1 +200410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.595064529,1 +200411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.503808458,1 +200412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.193770123,1 +200414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.897335543,1 +200415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.771135412,1 +200416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.518512598,1 +200417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.073029875,1 +200413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.247306874,1 +200419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.84223502,1 +200418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.746781348,1 +200420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.260524664,1 +200421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.465311538,1 +200422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.49666247,1 +200423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.283964425,1 +200424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.677116735,1 +200425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.586418057,1 +200427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.584259245,1 +200426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.770090116,1 +200428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.591147554,1 +200430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.354844811,1 +200429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.953528914,1 +200432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.588502902,1 +200431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.089545718,1 +200433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.108416881,1 +200435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.126893746,1 +200436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.451260591,1 +200434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.962731651,1 +200439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.111148349,1 +200438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.49248108,1 +200437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.255603667,1 +200441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.688576884,1 +200442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.399467477,1 +200443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.647537394,1 +200440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.003394088,1 +200444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.471338658,1 +200445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,8.237549037,1 +200446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.057981848,1 +200447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.543840351,1 +200449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.452211639,1 +200448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.958434787,1 +200450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.46641286,1 +200452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.709022807,1 +200453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.496897137,1 +200451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.368819602,1 +200454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.221006398,1 +200455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.466095401,1 +200456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.669928341,1 +200457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.357845065,1 +200460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.653117013,1 +200459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.839323223,1 +200461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.61963687,1 +200463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.107362979,1 +200458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.429787703,1 +200462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,1.383528183,1 +200464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.363371111,1 +200467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.752986728,1 +200465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.967126609,1 +200468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.249087974,1 +200466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.034575939,1 +200470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.417054736,1 +200469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.835849566,1 +200472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.090528642,1 +200473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.599593621,1 +200471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.264761369,1 +200474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.669325799,1 +200476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.590279174,1 +200477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.176298731,1 +200478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.9524601,1 +200475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.292971676,1 +200480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.712496075,1 +200479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.639429464,1 +200481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.041410969,1 +200483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.379224502,1 +200482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.660621939,1 +200484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.447103494,1 +200485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.714077817,1 +200486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.700648274,1 +200487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.584558317,1 +200488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.33038795,1 +200489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.298734828,1 +200490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.816478723,1 +200491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.815677149,1 +200492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.834076905,1 +200493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.758332517,1 +200494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.500255816,1 +200497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.08204124,1 +200496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.540625632,1 +200498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.884359849,1 +200495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.941084936,1 +200500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.847760312,1 +200499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.085511344,1 +200501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.810627989,1 +200502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.736058114,1 +200503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.318382141,1 +200504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.003079364,1 +200505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.473770625,1 +200508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.407679097,1 +200507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.784855283,1 +200506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.462532358,1 +200509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.667419023,1 +200510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.736752175,1 +200511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.342922536,1 +200512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.826161215,1 +200515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.573525296,1 +200513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.33123011,1 +200514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.326521016,1 +200516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.058859351,1 +200517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.563076718,1 +200518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.745226794,1 +200520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.313442561,1 +200521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.083930805,1 +200522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.717993687,1 +200519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.119634036,1 +200524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.557933863,1 +200523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.811701455,1 +200525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.494817621,1 +200526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.209884464,1 +200529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.396081936,1 +200527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.671972406,1 +200530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.698412954,1 +200528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.654344434,1 +200531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.915876959,1 +200532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.453145242,1 +200534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.530660163,1 +200535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.458670678,1 +200533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.496430734,1 +200536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.602057492,1 +200537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.507288221,1 +200538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.838140721,1 +200540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.915580727,1 +200539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.008352415,1 +200541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.391788408,1 +200542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.809074283,1 +200544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.526243864,1 +200543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.121006369,1 +200545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.778399998,1 +200546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.466952995,1 +200547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.298444934,1 +200548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.74481866,1 +200549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.086120056,1 +200550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.235270383,1 +200551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.099931982,1 +200552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.568721531,1 +200553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.343166254,1 +200554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.918678786,1 +200556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.526974885,1 +200558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.329603451,1 +200557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.909797541,1 +200555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.667990615,1 +200559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.914857192,1 +200560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.104489026,1 +200561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.334799577,1 +200562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.855033966,1 +200563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.451165705,1 +200565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.360593687,1 +200566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.316856199,1 +200564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.992801523,1 +200567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.613388351,1 +200569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.621934544,1 +200568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.794515281,1 +200570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.860162185,1 +200571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.110186941,1 +200572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.881943718,1 +200575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.875205942,1 +200573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.859565564,1 +200574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.717216217,1 +200576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.034671266,1 +200577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.853953463,1 +200579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.240922366,1 +200578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.182712489,1 +200580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.278923795,1 +200581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.920963382,1 +200582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.307616663,1 +200584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.434477431,1 +200585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.716324377,1 +200586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.820659592,1 +200583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.272193031,1 +200587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.214611676,1 +200588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.539770584,1 +200589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.117423532,1 +200591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.970169608,1 +200590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.247919146,1 +200592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.442654241,1 +200593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.963426011,1 +200595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.340372163,1 +200596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.932355698,1 +200597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.85323791,1 +200594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.894426731,1 +200599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.618549594,1 +200600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.748599133,1 +200601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.182915155,1 +200603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.291594217,1 +200602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.021310022,1 +200604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.001315766,1 +200598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.292885519,1 +200607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.110376479,1 +200605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.424642431,1 +200606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.86508653,1 +200608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.447532179,1 +200610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.476381087,1 +200611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.656304497,1 +200612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.481160144,1 +200613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.699841658,1 +200614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.192700163,1 +200615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.208364157,1 +200609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.783546221,1 +200616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.241950081,1 +200617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.656598282,1 +200619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.594645147,1 +200620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.146468643,1 +200618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.404048198,1 +200621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.764960721,1 +200622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.330873843,1 +200623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.895919375,1 +200624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.64170107,1 +200625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.114908766,1 +200626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.342828913,1 +200627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.474771231,1 +200628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.783307715,1 +200629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,8.17281597,1 +200631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.298617452,1 +200633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.174890888,1 +200630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.902856108,1 +200632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.906277738,1 +200635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.990779153,1 +200634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.715114171,1 +200636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.939693719,1 +200637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.632267009,1 +200639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.944103265,1 +200638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.899944831,1 +200640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.279781813,1 +200641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.94440343,1 +200642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.002939361,1 +200643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.315374365,1 +200644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.027037674,1 +200646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.664936068,1 +200647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.052017264,1 +200645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.30888289,1 +200649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.224143623,1 +200648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.451382819,1 +200650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.722335324,1 +200651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.040373389,1 +200653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.91058558,1 +200652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.694154714,1 +200654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.627716251,1 +200655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.033074079,1 +200656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.053248462,1 +200657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.076880003,1 +200658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.548461785,1 +200660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.144117833,1 +200662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.572280061,1 +200661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.879849229,1 +200659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.4070009,1 +200664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.051286341,1 +200665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.409540331,1 +200663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.236784005,1 +200666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.189892556,1 +200667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.051488461,1 +200669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.234068466,1 +200668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.331566122,1 +200671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.85515083,1 +200670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.081142963,1 +200672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.295911693,1 +200674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.778103819,1 +200673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.627983717,1 +200675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.072152025,1 +200676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.763375466,1 +200677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.460857352,1 +200680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.58673413,1 +200678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.734980143,1 +200679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.616200458,1 +200681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,1.711277828,1 +200683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.658225264,1 +200682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.829174886,1 +200685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.832731786,1 +200686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.102128671,1 +200687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.677675175,1 +200684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.754458178,1 +200688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.813225326,1 +200690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.675932396,1 +200692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.61880711,1 +200691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.929274619,1 +200693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.549097781,1 +200694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.728966274,1 +200695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.779154006,1 +200689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.168233327,1 +200696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.550371716,1 +200699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.235829859,1 +200698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.15878844,1 +200700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.757726003,1 +200697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.910350688,1 +200701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.852137727,1 +200704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.275800805,1 +200703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.904046806,1 +200705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.847896433,1 +200706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.629133426,1 +200707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.504687813,1 +200702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.037572168,1 +200710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.783078631,1 +200709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.772699606,1 +200708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.34724747,1 +200711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.436670116,1 +200714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.838766846,1 +200713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.324718496,1 +200712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.248762117,1 +200715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.713965565,1 +200718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.755011594,1 +200716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.082876701,1 +200717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.065281513,1 +200719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.147519524,1 +200720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.8208484,1 +200721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.963140653,1 +200722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.826270596,1 +200724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.499377771,1 +200725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.275129788,1 +200726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.476908411,1 +200729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.077541331,1 +200723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.440072778,1 +200728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.28879422,1 +200727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.862654518,1 +200730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.073777991,1 +200731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.395644522,1 +200732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.817727222,1 +200733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.389220856,1 +200734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.141483907,1 +200735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.6696339,1 +200736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.948643573,1 +200737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.289737385,1 +200738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.720473214,1 +200741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.523336241,1 +200740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.620510442,1 +200742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.847304789,1 +200744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.150386269,1 +200739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.382169579,1 +200743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.709013572,1 +200745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.388321566,1 +200746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.373764585,1 +200748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.099011242,1 +200747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.090246087,1 +200749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.159799724,1 +200750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.241159937,1 +200751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.275117537,1 +200752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.844496978,1 +200753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.500409788,1 +200754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.390603204,1 +200755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.654859483,1 +200756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.405051452,1 +200757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.881832373,1 +200758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.975258839,1 +200759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.836714381,1 +200761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.455384133,1 +200763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.875254333,1 +200760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.139843469,1 +200764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.329460528,1 +200765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.852396219,1 +200762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.007246553,1 +200766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.225456286,1 +200767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.161181906,1 +200768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.08573977,1 +200770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.113057255,1 +200771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.427544007,1 +200772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.001498513,1 +200769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.657603852,1 +200773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.593729691,1 +200776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.020537106,1 +200774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.32768536,1 +200777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.870468167,1 +200775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.46587242,1 +200778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.16375485,1 +200779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.152252756,1 +200781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.809395378,1 +200780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.70605751,1 +200783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.72661313,1 +200784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.868741239,1 +200785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.762416682,1 +200786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.7384096,1 +200787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.647347554,1 +200782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.70115206,1 +200788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.329401948,1 +200789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.733652511,1 +200791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.582124405,1 +200790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.399601043,1 +200793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.204713789,1 +200795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.164418968,1 +200794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.445953829,1 +200796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.447295357,1 +200797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.613806631,1 +200798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,8.566230065,1 +200792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.863468665,1 +200799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.938385372,1 +200800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.448839486,1 +200802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.573498711,1 +200803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.990851252,1 +200801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.083540762,1 +200804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.702446814,1 +200805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.177770767,1 +200807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.758976261,1 +200806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.818314552,1 +200808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.792715895,1 +200809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.863958885,1 +200810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.063175347,1 +200811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.91049344,1 +200812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.890482849,1 +200814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.820176332,1 +200815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.744973079,1 +200816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.189716427,1 +200813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.389108319,1 +200817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.359663821,1 +200818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.239918698,1 +200819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.544105341,1 +200820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.172241271,1 +200822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.291413767,1 +200821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.968450435,1 +200823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.550878727,1 +200826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.297173794,1 +200825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.830183141,1 +200824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.673526711,1 +200827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.176964656,1 +200828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.316126417,1 +200829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.920749101,1 +200830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.854774744,1 +200831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.212334395,1 +200832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.235060479,1 +200833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.888071127,1 +200835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.886701516,1 +200836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.761234083,1 +200837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.553812136,1 +200834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.032610916,1 +200838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.582572546,1 +200840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.790945063,1 +200839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.244259927,1 +200841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.718701613,1 +200843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.053505581,1 +200844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.99753148,1 +200842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.28910785,1 +200845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.753308228,1 +200846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.892350729,1 +200847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.054955477,1 +200848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.511598991,1 +200850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.316157284,1 +200849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.164270746,1 +200852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.89503031,1 +200851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.501971737,1 +200854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.556131003,1 +200853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.083387612,1 +200856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.392292561,1 +200858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.64004686,1 +200857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.485960955,1 +200855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.044509885,1 +200859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.539193275,1 +200860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.194139537,1 +200861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.08274247,1 +200863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.637252899,1 +200862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.568674497,1 +200866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.029506511,1 +200865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.121273188,1 +200864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.304176909,1 +200867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,9.500317577,1 +200868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.529615946,1 +200869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.264106013,1 +200871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.450245867,1 +200870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.517018333,1 +200872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.522294468,1 +200873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.279874135,1 +200874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.604483427,1 +200875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.868775686,1 +200876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.270121461,1 +200879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.949980918,1 +200877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.938815809,1 +200880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.260982935,1 +200881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.102730119,1 +200878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.093678818,1 +200882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.760544811,1 +200883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.252190069,1 +200885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.107810658,1 +200884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.995680418,1 +200887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.574344899,1 +200886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.883382801,1 +200888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.611858187,1 +200889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.775847392,1 +200890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.559175049,1 +200891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.641674614,1 +200892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.460833537,1 +200893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.145720872,1 +200894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.149314745,1 +200895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.897293199,1 +200897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.576879075,1 +200896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.587420293,1 +200898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.671091144,1 +200900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.616875041,1 +200901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.37884745,1 +200902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.671579804,1 +200903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.34178143,1 +200899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.8143523,1 +200904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.87842912,1 +200905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.965379559,1 +200906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.571710023,1 +200908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.786468029,1 +200907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.685613451,1 +200909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.238881245,1 +200910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.404816871,1 +200911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.062272163,1 +200912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.332996213,1 +200914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.064350195,1 +200913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.596719587,1 +200915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.624248563,1 +200916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.820628591,1 +200917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.686302355,1 +200918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.16912791,1 +200919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.377370281,1 +200920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.274544894,1 +200921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.164241805,1 +200923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.129864146,1 +200924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.25116628,1 +200925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.968289601,1 +200926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.354860178,1 +200922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.782816589,1 +200928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.219454514,1 +200927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.963628238,1 +200930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.092569138,1 +200929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.493760519,1 +200932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.630572587,1 +200931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.507102909,1 +200934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.6960644,1 +200933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.680214959,1 +200935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.975543695,1 +200936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.502507705,1 +200937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.712436227,1 +200939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.134550956,1 +200940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.951591514,1 +200941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.373496232,1 +200942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.714341076,1 +200938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.036236257,1 +200943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.862425775,1 +200944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.077382803,1 +200945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.736715793,1 +200946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.712869094,1 +200947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.737843758,1 +200948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.380965359,1 +200949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.101345005,1 +200951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.598080092,1 +200950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.965813376,1 +200952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.014749654,1 +200953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.894861978,1 +200954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.313423096,1 +200955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.127085878,1 +200956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.427785272,1 +200957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.59975317,1 +200958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.498068616,1 +200959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.869600101,1 +200960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.929576774,1 +200961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,7.212433449,1 +200962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.812979546,1 +200965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.605158619,1 +200964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.552492222,1 +200963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,8.550444679,1 +200966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.414221189,1 +200967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,2.900055797,1 +200968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.64602943,1 +200970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.745036169,1 +200972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.918798794,1 +200971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.635968817,1 +200969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.423375972,1 +200973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.054119569,1 +200974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.490903168,1 +200975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.410280555,1 +200976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.872044881,1 +200978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.291483015,1 +200979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.312134734,1 +200977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.240254061,1 +200981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.24520738,1 +200982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.169435963,1 +200984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.049332348,1 +200983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.294008634,1 +200980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.139799771,1 +200985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.603113817,1 +200987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.25449365,1 +200986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.746415567,1 +200990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.939111042,1 +200988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.959550235,1 +200989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.175611488,1 +200991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,8.503577909,1 +200993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.342905285,1 +200992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.130007173,1 +200994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.33581304,1 +200995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.345344147,1 +200996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,5.425121945,1 +200998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,6.223725646,1 +200999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,3.567452073,1 +201000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.754264727,1 +200997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,1,1,4.322574078,1 +1003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.077381822,1 +1001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.042757567,1 +1002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.462418155,1 +1004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.851696174,1 +1005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.217304544,1 +1007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.468453275,1 +1006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.974166618,1 +1009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.662236241,1 +1010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.418191081,1 +1011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.322394293,1 +1008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.671164607,1 +1013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.01389705,1 +1014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.235547599,1 +1015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.456398519,1 +1012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.653325252,1 +1017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.210625188,1 +1019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.974598912,1 +1016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.499355832,1 +1018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.259862109,1 +1021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.848322652,1 +1020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.729498458,1 +1022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.464020856,1 +1023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.445038704,1 +1024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.313789568,1 +1025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.066995814,1 +1026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.191779343,1 +1027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.6906305,1 +1028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.092385589,1 +1030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.542966918,1 +1029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.482018561,1 +1033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.410968342,1 +1032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.82460656,1 +1031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.751483266,1 +1034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.675550586,1 +1036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.513891189,1 +1035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,8.5169873,1 +1037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.007526502,1 +1039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.332542073,1 +1038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.576698433,1 +1040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.621770391,1 +1041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.439564808,1 +1042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.031849403,1 +1043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.402853418,1 +1044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.565020923,1 +1048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.788311751,1 +1047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.501894655,1 +1045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.595343909,1 +1046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.622174327,1 +1050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.410184212,1 +1049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.347182689,1 +1051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.302816502,1 +1052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.78511336,1 +1053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.493831663,1 +1054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.973976137,1 +1055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.216008486,1 +1056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.517720263,1 +1057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.066967842,1 +1058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.404332134,1 +1060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.443582509,1 +1059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.62028968,1 +1061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.606974071,1 +1062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.097242225,1 +1063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.874859762,1 +1066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.490621984,1 +1065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,9.086208445,1 +1064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.064414048,1 +1067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.178277203,1 +1068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.546997346,1 +1069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.149777188,1 +1071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.208425027,1 +1072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.651893002,1 +1073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.327453763,1 +1074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.383152109,1 +1076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.198459502,1 +1075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.695619207,1 +1070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.626827177,1 +1077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.637656814,1 +1080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.435630362,1 +1078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.757083641,1 +1079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.508851811,1 +1081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.512194528,1 +1082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.966423515,1 +1083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.765718943,1 +1084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.272840143,1 +1085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.006421449,1 +1087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.481831911,1 +1088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.700293166,1 +1089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.455456927,1 +1086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.038172623,1 +1090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.580111882,1 +1091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.885283292,1 +1092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.292847666,1 +1093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.544184616,1 +1094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.186890653,1 +1097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.215622967,1 +1096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.873256778,1 +1095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.768961027,1 +1101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.459661929,1 +1100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.683189501,1 +1098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.966367821,1 +1099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,8.002692343,1 +1102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.175683796,1 +1103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.743440336,1 +1104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.37861644,1 +1106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.353431648,1 +1107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.345822898,1 +1108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,9.451527856,1 +1105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.512039381,1 +1110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.418261505,1 +1109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.466789769,1 +1111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.538331991,1 +1112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.269438744,1 +1113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.012926197,1 +1114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.17857145,1 +1115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.056423914,1 +1116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.038810078,1 +1117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.870795873,1 +1118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.95963845,1 +1120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.962691403,1 +1119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.014484703,1 +1121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.799129979,1 +1122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.374165375,1 +1123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.582364879,1 +1125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.058048688,1 +1126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.928904134,1 +1127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.202739043,1 +1124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.645175853,1 +1128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.552300238,1 +1129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.878751703,1 +1130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.049046014,1 +1131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.711093248,1 +1132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.70066495,1 +1133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.229744177,1 +1134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.335686047,1 +1135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.183626388,1 +1136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.661310273,1 +1137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.951230718,1 +1138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.475166655,1 +1140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.872380655,1 +1141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.707408302,1 +1139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.655866189,1 +1142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.725791368,1 +1143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.82275657,1 +1144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.677864051,1 +1146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.937104148,1 +1145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,1.926151469,1 +1147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.271997229,1 +1148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.892116574,1 +1150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.66999313,1 +1149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.704773675,1 +1151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.130446417,1 +1152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.362969285,1 +1154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.787904752,1 +1155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.331823528,1 +1153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.628655976,1 +1156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.139159439,1 +1158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.732399801,1 +1159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.263069156,1 +1160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.732343247,1 +1161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.42413698,1 +1162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.028396552,1 +1157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.178442783,1 +1163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.824548128,1 +1164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.354075212,1 +1165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.307142913,1 +1166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.846884274,1 +1168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.731268907,1 +1167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.276280541,1 +1169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.961858184,1 +1170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.608246546,1 +1171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.707650386,1 +1172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.862128605,1 +1173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.055944738,1 +1174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.638891532,1 +1175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.547642276,1 +1176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.974115397,1 +1177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.730103499,1 +1179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.350671808,1 +1180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.84379296,1 +1181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.593858498,1 +1182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.496130473,1 +1178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.878707882,1 +1183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.138251312,1 +1184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.118148366,1 +1185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.260501368,1 +1186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.896543677,1 +1187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.910798184,1 +1188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.03668681,1 +1189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.786903689,1 +1190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.864848949,1 +1193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.296789227,1 +1192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.481188995,1 +1194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.918220382,1 +1191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,9.921109312,1 +1195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,8.730039719,1 +1196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.851383533,1 +1198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.082116285,1 +1200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.294073937,1 +1199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.345254987,1 +1197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,8.482997539,1 +1201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.980203668,1 +1203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.941868072,1 +1202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.0053193,1 +1204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.430080419,1 +1205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.234900306,1 +1206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.346064157,1 +1207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.074705764,1 +1210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.291764338,1 +1208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.845543017,1 +1209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.785477083,1 +1211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.709985207,1 +1212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.590493979,1 +1213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.555685606,1 +1214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.78049302,1 +1216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.749446441,1 +1217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.809960521,1 +1215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.711119092,1 +1218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.998467563,1 +1219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.099624018,1 +1220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.075460791,1 +1221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.712690284,1 +1222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,1.811796757,1 +1224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.927041994,1 +1223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.965139285,1 +1226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.91169315,1 +1228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.334206611,1 +1227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.386862504,1 +1229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.932255688,1 +1225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.697049904,1 +1230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.453650333,1 +1231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.988259529,1 +1232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.42690096,1 +1234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.148000205,1 +1233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.100931761,1 +1235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.834513604,1 +1236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,0.950862839,1 +1237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.193816923,1 +1238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.931750792,1 +1240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.206164042,1 +1239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.273914099,1 +1243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.311125676,1 +1241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.784698562,1 +1242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.966448273,1 +1244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.1603019,1 +1246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.95991795,1 +1248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.469051066,1 +1247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.308019783,1 +1245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.646286237,1 +1249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.27835481,1 +1251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.422966746,1 +1250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.2461509,1 +1252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.982246191,1 +1253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.624789004,1 +1254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.652099072,1 +1255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.86314359,1 +1256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.650281887,1 +1257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.758930536,1 +1258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.704263075,1 +1259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.445740303,1 +1261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.903425007,1 +1263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.052495113,1 +1260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.291477549,1 +1262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.652018763,1 +1264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.675118398,1 +1265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.878381522,1 +1266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.599028389,1 +1267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.875692315,1 +1268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.72292904,1 +1269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.401619226,1 +1271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.186542704,1 +1270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.788619858,1 +1272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.613487996,1 +1273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.068694126,1 +1275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.895398924,1 +1276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.655376786,1 +1274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.331519792,1 +1277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.868826185,1 +1281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.722553658,1 +1279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.241747989,1 +1278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.25497596,1 +1282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.748220386,1 +1280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.846248363,1 +1283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,8.325098231,1 +1284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.329867876,1 +1285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.307263958,1 +1287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.369412857,1 +1288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.539974685,1 +1289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.887273054,1 +1290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.756007072,1 +1286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.779280037,1 +1291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.27637673,1 +1292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.415560573,1 +1293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.773912785,1 +1294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.896559263,1 +1295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.088334196,1 +1296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.386996211,1 +1297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.92131846,1 +1298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.584003017,1 +1299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.284486265,1 +1300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.578773284,1 +1301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.038745404,1 +1302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.193402659,1 +1304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.968938631,1 +1305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.226785499,1 +1303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.827908646,1 +1307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.371108611,1 +1309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.02066638,1 +1306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.445074098,1 +1308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.584374663,1 +1312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.452797009,1 +1310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.289896955,1 +1311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.459798919,1 +1313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.715355129,1 +1314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.076949563,1 +1315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.243401461,1 +1317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.202016228,1 +1316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.745432149,1 +1318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.659663077,1 +1319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.97948547,1 +1320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.738338816,1 +1323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.163220879,1 +1321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.877537494,1 +1322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.628900127,1 +1324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.057721653,1 +1326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.374271208,1 +1325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.067361819,1 +1327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.970632642,1 +1328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.015208774,1 +1330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.911712135,1 +1329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.866430103,1 +1331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.433186739,1 +1332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.945624766,1 +1333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.295990725,1 +1335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.494884353,1 +1334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.364407008,1 +1336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.721274698,1 +1337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.488994786,1 +1339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,9.36982443,1 +1341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.131549845,1 +1340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.42632212,1 +1338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.329715683,1 +1343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.792024255,1 +1344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.150146656,1 +1345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.359178301,1 +1346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.65664051,1 +1347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.853143262,1 +1342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.76192364,1 +1348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.560578477,1 +1349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.868703694,1 +1350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.054811012,1 +1352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.709710729,1 +1351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.35848661,1 +1356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.821844916,1 +1353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.974682046,1 +1355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.961904751,1 +1354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.540817372,1 +1358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.544185227,1 +1357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.560518263,1 +1359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.009611485,1 +1360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.234998837,1 +1362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.699402999,1 +1363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.737482101,1 +1364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.402568499,1 +1365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.381441183,1 +1366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.257883071,1 +1367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.300711502,1 +1361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.685515178,1 +1368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,1.831152085,1 +1369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.357425685,1 +1371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.753278536,1 +1370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.160889356,1 +1372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.310792139,1 +1373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.203988846,1 +1374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.462297863,1 +1375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.868840231,1 +1376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.852717389,1 +1377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.874542595,1 +1379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.317351796,1 +1380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.280849394,1 +1381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.796268984,1 +1382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.131610868,1 +1384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.457364302,1 +1378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.373032056,1 +1383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.415553644,1 +1387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.855086986,1 +1385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.618506121,1 +1386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.484996067,1 +1388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.817037845,1 +1389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.235935769,1 +1390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.721406261,1 +1391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.258461277,1 +1392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.180837602,1 +1394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.43238286,1 +1393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.688371227,1 +1395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,1.788300893,1 +1396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.750486268,1 +1397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.979732913,1 +1400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.763886354,1 +1399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.060480498,1 +1401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.729875166,1 +1403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.208784428,1 +1398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.3099585,1 +1404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.991443417,1 +1402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.276326994,1 +1405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.503294847,1 +1406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.104191419,1 +1407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.360387751,1 +1408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.195113144,1 +1409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.632899677,1 +1411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.78854321,1 +1410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.483228695,1 +1413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.39846014,1 +1412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.727879803,1 +1416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.590877891,1 +1417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.87970291,1 +1415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.992265831,1 +1414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.355774507,1 +1418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.509168119,1 +1420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.246994631,1 +1421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.781188142,1 +1419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.247816833,1 +1422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.810112734,1 +1424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.770037866,1 +1425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.9486945,1 +1423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.657535924,1 +1427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.735029505,1 +1426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.745635782,1 +1428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.090410893,1 +1429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.630120901,1 +1430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.721382268,1 +1432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.467793474,1 +1431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.930616909,1 +1433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.596076815,1 +1436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,8.391029678,1 +1434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.116003829,1 +1435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.395891826,1 +1438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.591895077,1 +1437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.774375229,1 +1440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.143849342,1 +1441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.616227314,1 +1439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.556451669,1 +1442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.286900684,1 +1443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.474071497,1 +1446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.19734987,1 +1447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.710081566,1 +1445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.967293322,1 +1444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.383201252,1 +1450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.944873751,1 +1449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.751573697,1 +1451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,1.439759115,1 +1448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.387831661,1 +1453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.447744931,1 +1454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.238109413,1 +1455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.702248939,1 +1456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.964028879,1 +1452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.727246034,1 +1457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.431785991,1 +1458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.825840159,1 +1459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.44475137,1 +1461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.931206487,1 +1460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.299811789,1 +1462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.874112448,1 +1463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.216808743,1 +1464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.851225356,1 +1465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.430048809,1 +1467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.593983991,1 +1469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.641950857,1 +1468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.189992188,1 +1470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.673080089,1 +1472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.455232981,1 +1471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.417802874,1 +1466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.109115555,1 +1473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.268318257,1 +1474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.532562172,1 +1476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.266166002,1 +1475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.871223564,1 +1477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.739442743,1 +1479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.938910366,1 +1480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.050641386,1 +1478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.936973969,1 +1481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.947051713,1 +1483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.306368957,1 +1484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.357812243,1 +1485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.75147532,1 +1482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.189325518,1 +1486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.971608075,1 +1487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,8.15755787,1 +1488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.887418311,1 +1489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.952281392,1 +1491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.526649236,1 +1490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.233982846,1 +1492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.793265249,1 +1493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.519721033,1 +1494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.222166244,1 +1495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.74340786,1 +1496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.103182255,1 +1498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.854650848,1 +1499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.181504457,1 +1500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.526434594,1 +1497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.36621214,1 +1501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.79644333,1 +1502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.109758092,1 +1503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.528495736,1 +1505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.812494714,1 +1504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.66179456,1 +1506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.657501727,1 +1507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.882997742,1 +1509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.63681136,1 +1508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.048909894,1 +1512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,1.074413515,1 +1510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.938815693,1 +1511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.517479314,1 +1513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.965869103,1 +1516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.715062183,1 +1515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.443007452,1 +1517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.341143357,1 +1514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.07517787,1 +1518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.483798144,1 +1519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.153203737,1 +1520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.830777419,1 +1522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.946989629,1 +1523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.88830357,1 +1521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,1.849337379,1 +1524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.574476585,1 +1527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.558749144,1 +1525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.16129008,1 +1526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.618171251,1 +1528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.645244363,1 +1529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.215527357,1 +1530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.519542028,1 +1531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.939845774,1 +1532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.088244967,1 +1534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.640576487,1 +1535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.144382069,1 +1536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.900861607,1 +1533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.624518116,1 +1537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.038172953,1 +1538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.782123656,1 +1539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.218219049,1 +1541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.467219189,1 +1540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.42847923,1 +1542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.2358851,1 +1543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.644985158,1 +1546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.466006647,1 +1545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.908166261,1 +1544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.398615257,1 +1547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.349426507,1 +1548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,10.23817334,1 +1550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.181838595,1 +1551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.814284969,1 +1549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.019010991,1 +1552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.417177716,1 +1554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.914921022,1 +1553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.801693721,1 +1555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.075865727,1 +1556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.916125404,1 +1557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.798051211,1 +1558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.467458548,1 +1560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.922840991,1 +1561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.674131897,1 +1559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.736800792,1 +1562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.4123261,1 +1563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.674975709,1 +1566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.527697087,1 +1564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.700998841,1 +1565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.741040865,1 +1567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.723038971,1 +1569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.367859566,1 +1568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.780916706,1 +1570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.655572537,1 +1572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.17426447,1 +1573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.551132336,1 +1571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.440597124,1 +1574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.399791959,1 +1575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.989230686,1 +1576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.929924006,1 +1577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.556346972,1 +1579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.597293602,1 +1580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.303710434,1 +1578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.726488326,1 +1581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.055634718,1 +1582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.432668153,1 +1583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.133396621,1 +1585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.407227958,1 +1584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.728997956,1 +1586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.145798718,1 +1587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.414215449,1 +1589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.014288291,1 +1588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.308373205,1 +1590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.861352783,1 +1591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.268628994,1 +1593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.298890143,1 +1594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.586046546,1 +1592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.880168124,1 +1595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.362500052,1 +1596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.365804456,1 +1598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.146108598,1 +1597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.83797873,1 +1599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.020174098,1 +1600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.977036286,1 +1601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.246065992,1 +1602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.151779265,1 +1604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.32050335,1 +1603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.213910633,1 +1606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.486476241,1 +1605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.936566496,1 +1608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.811092573,1 +1607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.550833855,1 +1609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.629375328,1 +1610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.136056062,1 +1612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.854427888,1 +1611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.879096017,1 +1613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.257683567,1 +1615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,8.098122503,1 +1616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.763564395,1 +1614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.108468259,1 +1617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.188919484,1 +1618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.764914898,1 +1620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.05519383,1 +1619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.431939248,1 +1621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.898657232,1 +1624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.837011134,1 +1622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.895397412,1 +1623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.448894723,1 +1625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.960981213,1 +1627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.893125418,1 +1626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.657237228,1 +1629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.972071077,1 +1630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.200658869,1 +1628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.881565752,1 +1631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.61103456,1 +1632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.700791039,1 +1633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.493833879,1 +1635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.418593699,1 +1636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,1.279672577,1 +1637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.157667947,1 +1634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.647180507,1 +1638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.230400415,1 +1639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.333255413,1 +1640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.464738463,1 +1642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.5612647,1 +1644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.702341431,1 +1645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.164562943,1 +1641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.180028557,1 +1643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.933591427,1 +1648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.700490598,1 +1649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.633646332,1 +1646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.617214478,1 +1647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.471500988,1 +1650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.764603694,1 +1651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.382393959,1 +1652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.471540857,1 +1653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.130951543,1 +1655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.700324183,1 +1656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.182837471,1 +1657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.559737299,1 +1658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.41199756,1 +1659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.049357786,1 +1660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.436403412,1 +1661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.843794508,1 +1654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.469789008,1 +1662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.517581314,1 +1663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.954818939,1 +1664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.453157172,1 +1665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.188221797,1 +1666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.212735049,1 +1667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.801225248,1 +1668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.639199546,1 +1669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.843424706,1 +1670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.682755336,1 +1672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.026896193,1 +1671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.47722142,1 +1673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.433879379,1 +1674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.945943473,1 +1675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.533551897,1 +1676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.227074107,1 +1678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.778635596,1 +1680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.996409374,1 +1679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.378542113,1 +1677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,8.547829113,1 +1681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.784864199,1 +1682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.2298341,1 +1683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.472555374,1 +1685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.470274417,1 +1684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.762875473,1 +1686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.333234813,1 +1687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.389842418,1 +1688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.801260376,1 +1689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.654819364,1 +1690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.25398205,1 +1692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.841457179,1 +1691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.008664679,1 +1694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.751694605,1 +1693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,1.794524229,1 +1696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.797734285,1 +1697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.488678785,1 +1695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.754048151,1 +1698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.744010237,1 +1699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.673675183,1 +1700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.549323459,1 +1701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.159327152,1 +1702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.064949572,1 +1703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.155131807,1 +1704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.183354922,1 +1705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.386351295,1 +1706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.482304536,1 +1707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.885186909,1 +1708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.394463111,1 +1709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.149176732,1 +1711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.098838311,1 +1713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.399982659,1 +1710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.64710073,1 +1712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.172877284,1 +1714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.633513549,1 +1715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,9.204152936,1 +1716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.680442508,1 +1717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.909491072,1 +1718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.538970771,1 +1719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.854296764,1 +1721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.368541977,1 +1722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.857229694,1 +1720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.820651207,1 +1723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.254449477,1 +1724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.610884376,1 +1725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.503006039,1 +1726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.137937551,1 +1728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.19817339,1 +1727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.767593033,1 +1729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.593413659,1 +1731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.381536213,1 +1730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.652725635,1 +1732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.061376876,1 +1734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.756104749,1 +1735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.586964568,1 +1736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.1916819,1 +1733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.144687677,1 +1738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.317183801,1 +1737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.937609698,1 +1739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.144946186,1 +1742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.249756996,1 +1741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.188846826,1 +1740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.21919081,1 +1744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.443298952,1 +1743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.460349864,1 +1745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.367108996,1 +1746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.778983534,1 +1747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.733698239,1 +1748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.151870948,1 +1749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.610540944,1 +1751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.839263379,1 +1752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.099123303,1 +1753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.229746594,1 +1750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.081202919,1 +1754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.398825416,1 +1755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.690137561,1 +1756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.853387866,1 +1759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.466079835,1 +1758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.318285789,1 +1757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,8.284078547,1 +1760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.018087292,1 +1761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.038314286,1 +1762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.708858862,1 +1763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.761015736,1 +1764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.587974794,1 +1765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.870612589,1 +1766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.453360253,1 +1767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.240860721,1 +1768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.964737589,1 +1769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.183804879,1 +1770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.683454503,1 +1772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.183847189,1 +1773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.522653112,1 +1771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.966610289,1 +1774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.494636596,1 +1775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,8.187356437,1 +1776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.165665845,1 +1778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.278661921,1 +1777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.889198142,1 +1779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.219961059,1 +1780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.226277716,1 +1781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.807951362,1 +1782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.443317298,1 +1783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.121184323,1 +1784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.879931191,1 +1785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.494953468,1 +1787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.157918242,1 +1788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.759766821,1 +1786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.139679825,1 +1789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.10629837,1 +1792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.881392232,1 +1791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.578778181,1 +1793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.952190794,1 +1795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.228482257,1 +1794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.467730155,1 +1790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.990401055,1 +1796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.624740647,1 +1797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.44024589,1 +1798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.358499869,1 +1800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.049695848,1 +1799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.680852663,1 +1801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.456714771,1 +1804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.226143304,1 +1803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.196419074,1 +1802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.047701835,1 +1805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.061652813,1 +1807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.403164624,1 +1806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.210261203,1 +1808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,8.284501801,1 +1809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.793204803,1 +1810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.518141115,1 +1812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.674990451,1 +1813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.39682958,1 +1814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.747768992,1 +1811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.577125932,1 +1815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.917965175,1 +1818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.391191126,1 +1816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.720049278,1 +1817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.342094179,1 +1820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.075920255,1 +1819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.210908126,1 +1821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.06852087,1 +1822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.445894312,1 +1823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.836565471,1 +1824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.125552513,1 +1825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.165725896,1 +1826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,9.268197118,1 +1828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.228240234,1 +1829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.708200663,1 +1830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.260323238,1 +1831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.307491403,1 +1827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.721214193,1 +1832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.058650142,1 +1835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.92512572,1 +1833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.023969757,1 +1834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.922910346,1 +1836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.9251942,1 +1837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.940013033,1 +1838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.774721886,1 +1839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.51581531,1 +1840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.987131391,1 +1841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.863506656,1 +1842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.839896045,1 +1843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.827068629,1 +1844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,8.331060344,1 +1846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.107004118,1 +1845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.833442866,1 +1847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.925104017,1 +1848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.376801103,1 +1849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.333625107,1 +1850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.043097411,1 +1852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.613539741,1 +1853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.836948154,1 +1854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.470400422,1 +1851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.863317399,1 +1855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.565863858,1 +1856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.737635864,1 +1857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.322102022,1 +1858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.636536987,1 +1859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.648025825,1 +1860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.131462682,1 +1863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.63518988,1 +1862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.09032654,1 +1861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.176724231,1 +1864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.67592945,1 +1866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.887521505,1 +1867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.804152792,1 +1868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.531393135,1 +1865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.03214245,1 +1869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.014200999,1 +1870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.450244452,1 +1871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.052996859,1 +1873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.174531041,1 +1872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.343218379,1 +1874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.732444388,1 +1875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.588687768,1 +1876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.646714976,1 +1877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.79812748,1 +1879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.780883621,1 +1880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.713265185,1 +1878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.485073302,1 +1881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,1.523530524,1 +1882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.258694804,1 +1883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.964397252,1 +1884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.995843956,1 +1886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.22667855,1 +1887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.229631432,1 +1885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.331171521,1 +1888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.801087795,1 +1889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.717805308,1 +1890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.431884971,1 +1892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.363451431,1 +1891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.332567667,1 +1893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.999231791,1 +1894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.699396727,1 +1896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.104929114,1 +1897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.912635993,1 +1898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.986317058,1 +1895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.855864857,1 +1899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.057775941,1 +1900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.004760577,1 +1901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.745464996,1 +1903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.434980134,1 +1904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.340236907,1 +1905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.029510128,1 +1902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.085568867,1 +1906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.20110094,1 +1909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.865940753,1 +1907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.316091174,1 +1910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.859065164,1 +1908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.056536721,1 +1911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.00458837,1 +1912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.704994071,1 +1913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.920603095,1 +1914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.962625125,1 +1916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.062526878,1 +1918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.063477843,1 +1917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.099194074,1 +1919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.140333693,1 +1921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.043153288,1 +1915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.631194368,1 +1922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.136409685,1 +1920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.175645227,1 +1924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.624994648,1 +1926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.422399738,1 +1923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.763478424,1 +1927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.365339285,1 +1925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.159613484,1 +1928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.24295985,1 +1929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.025895057,1 +1930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.805860659,1 +1931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.634176714,1 +1932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.018379382,1 +1933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.054234416,1 +1935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.953906195,1 +1937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.99276708,1 +1934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.186440698,1 +1938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.74864965,1 +1936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.947271511,1 +1940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.599247752,1 +1942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.214461623,1 +1939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.948693104,1 +1941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.355369668,1 +1943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.894393423,1 +1945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.408304826,1 +1944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.560802049,1 +1946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,10.15062321,1 +1948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.537777916,1 +1949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.921088748,1 +1950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.70593076,1 +1951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.216543645,1 +1947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.903853648,1 +1953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.299604564,1 +1952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.659896811,1 +1954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.754509449,1 +1955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.169625519,1 +1956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.372430905,1 +1957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.944649624,1 +1958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.773557731,1 +1961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.041774547,1 +1960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.703036104,1 +1959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.977533518,1 +1964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.379872467,1 +1963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.432943274,1 +1962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.894220113,1 +1965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.153990996,1 +1966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.640411309,1 +1968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.518270982,1 +1967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.9091106,1 +1970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.843657119,1 +1971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.561579596,1 +1969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.234352961,1 +1972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.68986543,1 +1973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.531701916,1 +1974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.013772028,1 +1976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.194258777,1 +1975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.444228048,1 +1977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.65847407,1 +1978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.199244396,1 +1979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.667823975,1 +1980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.53640844,1 +1981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.127211572,1 +1982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.456739297,1 +1983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.040665695,1 +1984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.585670604,1 +1986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.449226272,1 +1985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.06003726,1 +1987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.501493987,1 +1988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.239098954,1 +1990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,3.942527905,1 +1989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,7.257782539,1 +1991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.142570123,1 +1992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,6.323607129,1 +1994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.126036865,1 +1993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.670558801,1 +1995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,2.62901359,1 +1996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,5.354797225,1 +1997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,8.298895376,1 +1999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.969409586,1 +1998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.356440945,1 +2000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,2,1,4.873689118,1 +11001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.715975921,1 +11002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.541497417,1 +11004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,8.144978609,1 +11003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.518239753,1 +11005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.865598519,1 +11006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.592551404,1 +11008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.750417216,1 +11007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.48852776,1 +11009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.802453599,1 +11012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.836324788,1 +11013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.006122942,1 +11011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.397200382,1 +11015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.949245935,1 +11014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.595283615,1 +11016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.160565695,1 +11010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.496102513,1 +11017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.908340452,1 +11019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.616676433,1 +11018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.016617399,1 +11020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.531035984,1 +11021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.493142473,1 +11022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.578837709,1 +11023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.14208548,1 +11025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.146438616,1 +11026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.955335102,1 +11027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.411250758,1 +11024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.82161482,1 +11029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.874531299,1 +11028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.443640195,1 +11031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.902686483,1 +11030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.230184793,1 +11032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.789369251,1 +11033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.39309984,1 +11035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.308993907,1 +11036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.562740188,1 +11037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.660155205,1 +11034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.950764622,1 +11038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.462925679,1 +11039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.566480619,1 +11040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.717984911,1 +11043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.07195077,1 +11042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.301967577,1 +11044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.130168202,1 +11041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.521516257,1 +11045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.714698465,1 +11046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.691211338,1 +11048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.766170616,1 +11047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.111685684,1 +11049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.226905619,1 +11050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.512766147,1 +11052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.754743061,1 +11051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.673923999,1 +11053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.461252291,1 +11055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.503291547,1 +11054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.360279519,1 +11057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.121324148,1 +11058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.584862091,1 +11056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.140323152,1 +11059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.14847558,1 +11060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.390418233,1 +11062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.35866233,1 +11063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,1.492971952,1 +11061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.688896,1 +11065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.699416746,1 +11064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.024196773,1 +11067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.766084171,1 +11066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,9.453545444,1 +11068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.489371674,1 +11069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.864446942,1 +11070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.790883554,1 +11071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.217522903,1 +11073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.514911669,1 +11074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.655729864,1 +11075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.011369578,1 +11072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.943850845,1 +11076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.201740537,1 +11077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.994758532,1 +11079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.431966539,1 +11080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.223718858,1 +11078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.46224985,1 +11081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.819217162,1 +11082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.235245601,1 +11083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.131085607,1 +11084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.717900489,1 +11085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.257160417,1 +11086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.960780057,1 +11087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.345544075,1 +11089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.231708166,1 +11088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.863851085,1 +11091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.429797108,1 +11092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.033573361,1 +11090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.27708245,1 +11093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.465506092,1 +11094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.168466649,1 +11096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.81769902,1 +11095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.069190637,1 +11098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.016302172,1 +11099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,8.068263753,1 +11097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.2431828,1 +11100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.786233889,1 +11101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.268202848,1 +11102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.051257315,1 +11104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.339324428,1 +11105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.665618167,1 +11106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.417035309,1 +11103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.469877513,1 +11107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.174268116,1 +11108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.096543118,1 +11109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.27517695,1 +11112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.377521312,1 +11110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.628306241,1 +11111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.081203877,1 +11113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.871250757,1 +11114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.445612503,1 +11116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.9676459,1 +11115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.456305851,1 +11117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.138785564,1 +11118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,8.283793105,1 +11119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.660974345,1 +11121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.330988508,1 +11122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.296941996,1 +11123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.158072601,1 +11120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.50994896,1 +11124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.895000966,1 +11125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.449878801,1 +11127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.184860565,1 +11126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.656534878,1 +11128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.928295675,1 +11129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.529140014,1 +11131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.033399594,1 +11130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.274314543,1 +11133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.16495572,1 +11132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.022216522,1 +11134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.364677978,1 +11136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.666426116,1 +11135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.872284605,1 +11137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.441457431,1 +11138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.498232369,1 +11142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.635298041,1 +11141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.004712598,1 +11139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.473443655,1 +11140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.676064595,1 +11143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.732035052,1 +11144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.972177198,1 +11145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.629482707,1 +11146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.25549551,1 +11148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.902913961,1 +11147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.058724658,1 +11149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.924993848,1 +11150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,9.91492245,1 +11152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.065115883,1 +11151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.291673131,1 +11153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.642096091,1 +11155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.004721489,1 +11157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.183081843,1 +11156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.618809157,1 +11154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.981186565,1 +11158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.729142303,1 +11159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.465121721,1 +11160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.076660315,1 +11161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.618235501,1 +11162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.700276531,1 +11163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.18121663,1 +11164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.58142127,1 +11165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.865040205,1 +11167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.837097066,1 +11166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.808316262,1 +11168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.324871449,1 +11170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.519224937,1 +11171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.786843838,1 +11172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.135764759,1 +11174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.167991321,1 +11173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.848282837,1 +11175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.377633892,1 +11177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.442771215,1 +11176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.465059566,1 +11178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.528494226,1 +11179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.590322877,1 +11180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.4363855,1 +11169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.338754262,1 +11181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.451609378,1 +11182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.746061844,1 +11183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.5216801,1 +11184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.165332819,1 +11185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.038741282,1 +11186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.365741071,1 +11187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.776711638,1 +11188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.361953132,1 +11189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.982033056,1 +11190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.843050897,1 +11191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.614358279,1 +11192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.796589879,1 +11193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.594653243,1 +11194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.144927552,1 +11195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.82839026,1 +11197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.676174338,1 +11198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.489056672,1 +11199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.267260914,1 +11196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.030902587,1 +11201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.607372661,1 +11200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.033776524,1 +11202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.18290267,1 +11203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.588208837,1 +11204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.030815272,1 +11205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.915666583,1 +11206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.736006258,1 +11207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.842207874,1 +11208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.257588843,1 +11210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.689502718,1 +11209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.580627923,1 +11212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.139156517,1 +11211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.613822113,1 +11213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.39176887,1 +11214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.531005064,1 +11217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.962052083,1 +11215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.093894588,1 +11216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.325529019,1 +11219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.290257212,1 +11220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.387583654,1 +11218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.998176884,1 +11221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.29632503,1 +11222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.492729136,1 +11223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.739496922,1 +11224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.558954087,1 +11225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.272222058,1 +11226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.386275718,1 +11227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.81825097,1 +11229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.465169148,1 +11228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.514505731,1 +11230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.620899947,1 +11231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.724458308,1 +11233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.57938528,1 +11234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.477635949,1 +11232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.849857874,1 +11235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.901254352,1 +11237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.986153282,1 +11238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.283672233,1 +11239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.89926584,1 +11236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.602958058,1 +11240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.591490152,1 +11241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.376874383,1 +11242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.392481002,1 +11244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.328977839,1 +11243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.390046468,1 +11245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.853569769,1 +11248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,1.794187478,1 +11246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.838515649,1 +11247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.978627755,1 +11249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.703399321,1 +11250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.355381169,1 +11251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.482072823,1 +11252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.554886697,1 +11253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.501366339,1 +11254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.255587036,1 +11255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.274045183,1 +11256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.596968695,1 +11257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.676440318,1 +11259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.51467833,1 +11260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,1.963513056,1 +11258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.791087829,1 +11261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.819064837,1 +11262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.396896531,1 +11263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.688083787,1 +11264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.647763297,1 +11266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.557274601,1 +11267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.498791506,1 +11268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.882275829,1 +11269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.917283312,1 +11265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.568328493,1 +11270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.114225635,1 +11271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.067139759,1 +11272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.611058923,1 +11273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.813284751,1 +11274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.338852151,1 +11276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.982785128,1 +11275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.971556101,1 +11277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.720848519,1 +11278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.016731996,1 +11279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.539330693,1 +11280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.385343274,1 +11281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,9.213309458,1 +11283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.661589467,1 +11282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.15402653,1 +11284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.482227001,1 +11285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.318079203,1 +11286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.006049084,1 +11288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.434721182,1 +11289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.906685195,1 +11290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.955094212,1 +11287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.715809143,1 +11292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.551247655,1 +11291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.766553517,1 +11293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.732816606,1 +11295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.772599141,1 +11294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.350827624,1 +11296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.334104992,1 +11297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.835126726,1 +11299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.074294564,1 +11298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.492216623,1 +11300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.095729109,1 +11301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.996769151,1 +11302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.343064808,1 +11304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.640217326,1 +11305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.595725124,1 +11306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,1.070180497,1 +11303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.870914037,1 +11307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.886802713,1 +11308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.843578475,1 +11310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.841738691,1 +11309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.691820235,1 +11311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.263597054,1 +11312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.162596973,1 +11313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.526773108,1 +11315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.637260356,1 +11314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.077865138,1 +11316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.615730203,1 +11317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.151450717,1 +11318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.131723377,1 +11319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.350783173,1 +11320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.213616204,1 +11321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.314740602,1 +11322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.689141934,1 +11324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.684869236,1 +11323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.172313794,1 +11325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.149456489,1 +11326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.840995634,1 +11329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.237643862,1 +11328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.612674851,1 +11327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.349025521,1 +11330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.892202223,1 +11331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.686725273,1 +11333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.122707585,1 +11332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.573021274,1 +11334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.812321296,1 +11336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.90234939,1 +11335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.478675279,1 +11337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.483927905,1 +11338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.063876879,1 +11340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.162175534,1 +11339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.793126305,1 +11342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.43843233,1 +11343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.2286339,1 +11341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.241240653,1 +11344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.866373674,1 +11345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.156408173,1 +11346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.728913729,1 +11347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.712289438,1 +11348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.961988444,1 +11349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.209572802,1 +11350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.026043497,1 +11351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.538142005,1 +11352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.526371229,1 +11353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.065710608,1 +11354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.51159538,1 +11357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.598999555,1 +11358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.894964446,1 +11355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.796242203,1 +11356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.395853414,1 +11359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.625850956,1 +11360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.422928068,1 +11361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.852905168,1 +11362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.903560104,1 +11363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.247313916,1 +11364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.093375624,1 +11367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.669064444,1 +11366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.365479087,1 +11365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.15478751,1 +11368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.197103647,1 +11370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.789795304,1 +11369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.192162298,1 +11371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.235611342,1 +11374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.74158156,1 +11375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.490875649,1 +11373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.819913485,1 +11372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.589714386,1 +11376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.191459878,1 +11378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.359528704,1 +11379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.499115306,1 +11380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.183330994,1 +11381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.610830228,1 +11382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.800053601,1 +11384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.37281774,1 +11385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.135820144,1 +11386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.573945687,1 +11383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.446107734,1 +11387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.046966711,1 +11389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.570375315,1 +11377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.641115663,1 +11391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.537478927,1 +11392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.526912326,1 +11390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.356078669,1 +11393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.284085365,1 +11388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.45481875,1 +11394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.866040834,1 +11395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.789367697,1 +11396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.415645091,1 +11399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.764884042,1 +11397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.003569994,1 +11398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.237567638,1 +11401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.292735155,1 +11402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.10325744,1 +11400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.069793594,1 +11403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.679841521,1 +11405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.333525771,1 +11406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.848113726,1 +11407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.525718714,1 +11409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.623115738,1 +11404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.015244628,1 +11408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.844235924,1 +11410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.887609461,1 +11411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.757879837,1 +11412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.066247341,1 +11413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.416149836,1 +11416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.456730723,1 +11417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.466120601,1 +11415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.129354107,1 +11414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,8.440371336,1 +11418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.023651332,1 +11419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.869307627,1 +11420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.329723077,1 +11423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.000333817,1 +11421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.651208449,1 +11424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.722033638,1 +11422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.382584391,1 +11426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.978753238,1 +11427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.611255517,1 +11425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.908079646,1 +11428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.632280403,1 +11429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,8.638590095,1 +11431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.67231942,1 +11432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.655005752,1 +11430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.202842228,1 +11434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.346826258,1 +11433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.390997103,1 +11435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.525248863,1 +11436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.700873826,1 +11437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.279753133,1 +11438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.048002813,1 +11439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.073096432,1 +11440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.973552381,1 +11441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.492035157,1 +11442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.47043009,1 +11444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.345659034,1 +11445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.522083668,1 +11446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.966733354,1 +11447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.550442874,1 +11448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.547538529,1 +11443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.683724968,1 +11451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.213668916,1 +11450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.245024554,1 +11452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.545932673,1 +11449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.711956325,1 +11455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.600793762,1 +11454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.511728658,1 +11457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.385154492,1 +11458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.075606895,1 +11456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.222452722,1 +11453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.410784414,1 +11460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.933391232,1 +11461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.820949327,1 +11462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.281583404,1 +11463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.456237751,1 +11465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.276658277,1 +11459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.360410723,1 +11464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.839018571,1 +11467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.239976148,1 +11468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.799880779,1 +11466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.670883916,1 +11470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.196033936,1 +11471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.035043243,1 +11472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.328393452,1 +11469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.826612718,1 +11474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.690130334,1 +11475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.951560331,1 +11476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.94626488,1 +11473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.938538041,1 +11477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.849187098,1 +11479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.291153983,1 +11480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.545741627,1 +11478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.130441246,1 +11481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.054058322,1 +11483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.872325233,1 +11482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.110574534,1 +11484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.443523413,1 +11485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.387145304,1 +11486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.561010436,1 +11488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.664369092,1 +11489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.934261956,1 +11491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.731913123,1 +11490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.049566293,1 +11492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.039014359,1 +11487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.448141364,1 +11494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.754724327,1 +11493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.388731182,1 +11495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.129777691,1 +11496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.677533295,1 +11497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.117281629,1 +11498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.182188296,1 +11499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.383635806,1 +11500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.132822793,1 +11501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.666946102,1 +11502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.924647299,1 +11503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.942458266,1 +11504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.491407353,1 +11506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.135250151,1 +11505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.031472593,1 +11507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.161277967,1 +11509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.792887733,1 +11511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.306786819,1 +11510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.466904671,1 +11508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.329265153,1 +11512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.24420261,1 +11513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.887420855,1 +11514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.779262117,1 +11515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.414589013,1 +11516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.158035907,1 +11518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.426805968,1 +11517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.259871044,1 +11520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.356904516,1 +11519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.69252849,1 +11521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.807949485,1 +11522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.399503127,1 +11523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.486633129,1 +11526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.707239739,1 +11524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.930305566,1 +11525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.981330811,1 +11527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.966642449,1 +11528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.91428572,1 +11530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.385897566,1 +11531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.824638397,1 +11532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.595667231,1 +11529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.97201478,1 +11533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.111611497,1 +11534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.928951003,1 +11535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.141077301,1 +11537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.600434994,1 +11538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.370659612,1 +11536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.504290793,1 +11539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.047019145,1 +11540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.137285688,1 +11542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.447651639,1 +11543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.838960883,1 +11541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.847751043,1 +11544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.21889094,1 +11545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.725541745,1 +11547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.923731141,1 +11548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.764046792,1 +11549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.49310589,1 +11550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.017965789,1 +11546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.01969468,1 +11551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,9.407164118,1 +11552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.302877435,1 +11553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.063793416,1 +11556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.96967302,1 +11555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.522898158,1 +11554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.026853876,1 +11557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.524640875,1 +11558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.839361031,1 +11559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.814732978,1 +11560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.679798402,1 +11561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.519762168,1 +11562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.685985827,1 +11563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.106936218,1 +11564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.954769967,1 +11565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.720802956,1 +11566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.36069326,1 +11567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.089235862,1 +11569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.956260576,1 +11570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.76241971,1 +11568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.25767601,1 +11571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.866080469,1 +11573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.205001689,1 +11574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.469804308,1 +11575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.39455708,1 +11572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.373198907,1 +11576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.531948198,1 +11577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.518990407,1 +11578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.710485543,1 +11580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.893418385,1 +11579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.2806722,1 +11582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.621633485,1 +11581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.336311974,1 +11583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,8.045037476,1 +11584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.050358395,1 +11586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.444293867,1 +11585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.206345595,1 +11587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.045322924,1 +11588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.473082205,1 +11589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.275482197,1 +11590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.774838556,1 +11591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.218276583,1 +11594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.892866996,1 +11595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.689815026,1 +11592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.436840404,1 +11593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.626900069,1 +11596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.26110907,1 +11597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.592431184,1 +11599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.224559856,1 +11598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.286627122,1 +11600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.511713584,1 +11603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.559645427,1 +11601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.270268386,1 +11602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.202288696,1 +11604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.165183755,1 +11605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.532709498,1 +11606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.013761597,1 +11608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.283447556,1 +11607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.965419472,1 +11610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.094843222,1 +11611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.963346129,1 +11609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.645243772,1 +11612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.28607392,1 +11613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.988572117,1 +11614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.538996551,1 +11615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,9.099875716,1 +11617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.675225429,1 +11616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.222559329,1 +11618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.211951446,1 +11619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.306918481,1 +11620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.852647504,1 +11621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.475457263,1 +11622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.752357436,1 +11623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.433525964,1 +11624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.793046304,1 +11626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.460190586,1 +11627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.335706744,1 +11625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.118998675,1 +11628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.347727668,1 +11629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.428632104,1 +11631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.097617705,1 +11630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.427112483,1 +11632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.817983625,1 +11633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.846370607,1 +11635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.96575817,1 +11636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.885552277,1 +11637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.866961112,1 +11638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.820161861,1 +11639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.219974844,1 +11634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.063847717,1 +11640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.978880031,1 +11641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.18890255,1 +11642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.944531908,1 +11643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.406387362,1 +11644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.299796126,1 +11647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.985465905,1 +11646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.841756906,1 +11645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.054454547,1 +11648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.396741515,1 +11650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.70729004,1 +11649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.105097691,1 +11651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.768328011,1 +11653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.231525599,1 +11652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.897004713,1 +11655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.660699256,1 +11656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.239429078,1 +11657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.347696408,1 +11658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.982476049,1 +11660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.826470291,1 +11659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.558182332,1 +11654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.831549291,1 +11663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.766555483,1 +11661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.715037091,1 +11664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.820407587,1 +11662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.851426694,1 +11666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.412469899,1 +11665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.992934866,1 +11667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.434513854,1 +11668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.435472487,1 +11669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.751079186,1 +11670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.096154102,1 +11671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.233977205,1 +11672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.805740422,1 +11673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,1.834257697,1 +11674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.627738294,1 +11676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.388483817,1 +11677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.207946334,1 +11678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.205048974,1 +11679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.00602161,1 +11675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.389450607,1 +11680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.374761654,1 +11681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.373488663,1 +11682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.574384346,1 +11683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.550844744,1 +11684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.865619803,1 +11685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.664073033,1 +11687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.372174149,1 +11686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.416983397,1 +11688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.620115651,1 +11689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.930003036,1 +11690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.703396237,1 +11692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.687210075,1 +11693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.878513088,1 +11691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.931733981,1 +11694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.470988285,1 +11695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.994927102,1 +11697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.512669561,1 +11698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.623338718,1 +11699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.768659893,1 +11696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.799975223,1 +11700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.272390976,1 +11701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.914651918,1 +11702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.562961378,1 +11705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.020885847,1 +11704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.10583188,1 +11706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.641464914,1 +11703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.935600179,1 +11710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.78304313,1 +11708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.545876993,1 +11707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.65165169,1 +11709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.22671099,1 +11711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.645366992,1 +11712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.798880527,1 +11714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.926368113,1 +11713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.110099911,1 +11717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.463895858,1 +11718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.408565609,1 +11716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.31403189,1 +11720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.497005666,1 +11719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.501902647,1 +11721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.550275368,1 +11715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.226498225,1 +11722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,8.83469036,1 +11725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.429296114,1 +11723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.273276994,1 +11724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.439880279,1 +11727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.822196267,1 +11726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.251537177,1 +11728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,8.10714152,1 +11729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.784799568,1 +11730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.500050678,1 +11731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.946313224,1 +11732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.746717171,1 +11733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.172258468,1 +11735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.835535633,1 +11736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.998262901,1 +11734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.577834117,1 +11738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.492914324,1 +11737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.958857732,1 +11740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.404873214,1 +11739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.402407109,1 +11741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.230615951,1 +11742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.238681946,1 +11743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.052745679,1 +11744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,1.933992016,1 +11745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.036549231,1 +11746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.972325877,1 +11747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.359796571,1 +11748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.612012602,1 +11749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.898214585,1 +11750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.992313813,1 +11752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.489674252,1 +11753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.955967361,1 +11751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.1347035,1 +11756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.800034515,1 +11755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.014904561,1 +11754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.495127534,1 +11757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.608984837,1 +11758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.667883691,1 +11759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.426387868,1 +11761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.493450609,1 +11760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.203233957,1 +11762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.935250414,1 +11763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.968300157,1 +11764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.08665562,1 +11766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.270350198,1 +11765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.857725221,1 +11767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.585533357,1 +11768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.828099121,1 +11770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.119635352,1 +11769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.195753874,1 +11771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.174364974,1 +11772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.728440022,1 +11774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.359507469,1 +11775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.783467821,1 +11776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.570777776,1 +11773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.576191761,1 +11777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.696536231,1 +11778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.083685251,1 +11779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.923553291,1 +11781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.595841555,1 +11782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.168275076,1 +11783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,8.464602743,1 +11780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.457266519,1 +11784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.5315926,1 +11785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.697117278,1 +11787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.325370699,1 +11786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.135748022,1 +11788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.308979465,1 +11789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.971800758,1 +11790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.462766663,1 +11791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.096352224,1 +11792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.452522854,1 +11793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.466796553,1 +11795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.334542387,1 +11796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.384354432,1 +11797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.369271853,1 +11798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.983158527,1 +11799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.134036157,1 +11794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.170460708,1 +11800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.004210569,1 +11801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.908115403,1 +11803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.126650379,1 +11802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.011038293,1 +11804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.936233514,1 +11805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.801838797,1 +11807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,8.07674538,1 +11806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,1.807757615,1 +11808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.869081311,1 +11809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.964634682,1 +11810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.367521485,1 +11811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.322932877,1 +11812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.543206355,1 +11813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.074075555,1 +11814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.444063841,1 +11816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.444604113,1 +11817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.460711868,1 +11815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.943496286,1 +11818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.263706539,1 +11819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.891431655,1 +11820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.31813456,1 +11823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.962754731,1 +11822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.416438599,1 +11821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.446461247,1 +11824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.307485962,1 +11825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.230182477,1 +11826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.035586297,1 +11828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.637391774,1 +11827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.429265296,1 +11830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.887384632,1 +11829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.11418831,1 +11831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.857333772,1 +11832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.994198576,1 +11833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.43415006,1 +11834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.28829184,1 +11835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.7777359,1 +11837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.019903712,1 +11838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.949434738,1 +11836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.715136519,1 +11839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.978719066,1 +11841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.075869397,1 +11843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.84832316,1 +11842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.54925541,1 +11840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.574729758,1 +11844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.553611977,1 +11845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,8.496678126,1 +11847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.870594096,1 +11846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.949098426,1 +11848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.700976925,1 +11849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.292022182,1 +11850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.432694469,1 +11852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.099688694,1 +11853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.390114303,1 +11854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.945596158,1 +11855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.217065163,1 +11856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.439753206,1 +11851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.679424039,1 +11857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.230924719,1 +11858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.517646501,1 +11859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.14012098,1 +11861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.258915233,1 +11863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.076863093,1 +11860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.25705801,1 +11864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.59267807,1 +11862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.295066288,1 +11865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.358474418,1 +11866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.556352868,1 +11868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.618206361,1 +11869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.222513354,1 +11870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.36043378,1 +11867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.663915369,1 +11871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.414797819,1 +11872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.307652126,1 +11874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.633701712,1 +11875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.283488946,1 +11876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.329462462,1 +11877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.381232541,1 +11878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.926571115,1 +11873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.674911984,1 +11879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.288258032,1 +11881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.766213096,1 +11882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.159288649,1 +11880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.636127492,1 +11884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.450713289,1 +11885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.093097237,1 +11883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.299952911,1 +11886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.662112696,1 +11887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.983941393,1 +11888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.031987578,1 +11890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.374099479,1 +11892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.452827758,1 +11889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.661125156,1 +11893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.729729161,1 +11891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.474129641,1 +11895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.165892695,1 +11897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.659999944,1 +11896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.083673327,1 +11894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.169452563,1 +11898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.212466404,1 +11900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.511816609,1 +11899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.70378603,1 +11901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.637732259,1 +11902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.611873426,1 +11903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.170157136,1 +11905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.952418537,1 +11904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.328573114,1 +11907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.890031384,1 +11908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.198898741,1 +11906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.272975813,1 +11909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.073861589,1 +11912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.583375129,1 +11913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.052866038,1 +11910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.303294425,1 +11911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.253672399,1 +11914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.306203424,1 +11917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.886233172,1 +11916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.336681079,1 +11915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.591152769,1 +11918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.385652041,1 +11919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.803754124,1 +11920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.994654292,1 +11921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.116626698,1 +11923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.684254171,1 +11924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.275169177,1 +11922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.491350907,1 +11925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.123412972,1 +11926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.07794731,1 +11927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.305626791,1 +11928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.361326855,1 +11930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.555557043,1 +11931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.676202044,1 +11932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.078077066,1 +11929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.916560007,1 +11933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.031609093,1 +11934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.039675124,1 +11935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.716796216,1 +11936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.419911355,1 +11937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.689625074,1 +11938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.442860701,1 +11940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.253417413,1 +11939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.508071023,1 +11941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.628731586,1 +11942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.150901206,1 +11943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.67627711,1 +11944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.948543623,1 +11945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.898461343,1 +11946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.135325696,1 +11948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.751850273,1 +11949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.203665936,1 +11947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.260758596,1 +11950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.039506187,1 +11951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.06652382,1 +11952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.421770123,1 +11954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.48628619,1 +11953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.565240814,1 +11955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.520834083,1 +11956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.821365166,1 +11957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.339372867,1 +11958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.731895724,1 +11959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.12501595,1 +11960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.804342892,1 +11961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.399305198,1 +11963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.007414425,1 +11965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.537649163,1 +11964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.844878706,1 +11962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.779781715,1 +11966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.765815231,1 +11967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.459302097,1 +11968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.240590734,1 +11970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.432982716,1 +11969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.789648149,1 +11971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.712396182,1 +11972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.26203277,1 +11973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.156047415,1 +11974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.878074956,1 +11975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.004319028,1 +11976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.98464124,1 +11977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.970238358,1 +11978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.327121702,1 +11979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.831999216,1 +11980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.697565678,1 +11981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.939059877,1 +11983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,1.955024428,1 +11984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.54841369,1 +11985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.251599865,1 +11987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.107794465,1 +11982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,3.401699065,1 +11986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.229452838,1 +11990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.356314764,1 +11988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.095825924,1 +11989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.995139316,1 +11991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.005529506,1 +11993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.028023346,1 +11992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,2.606742171,1 +11995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,7.134665251,1 +11994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.599190183,1 +11996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.390110082,1 +11998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,5.645491837,1 +11997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,4.809912061,1 +11999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.377003233,1 +12000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,2,1,6.250865598,1 +21001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.213727139,1 +21002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.500404054,1 +21003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.4386836,1 +21004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.802725619,1 +21005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.198029849,1 +21007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.502281812,1 +21008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.253301943,1 +21009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.456281002,1 +21006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.68488934,1 +21010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.184770543,1 +21011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.215318058,1 +21012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.116027722,1 +21013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.454582283,1 +21014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.511089069,1 +21015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.486580167,1 +21016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.493708486,1 +21018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.559682095,1 +21017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.014776644,1 +21019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.619792883,1 +21020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.493996144,1 +21021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.869894698,1 +21023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.515664849,1 +21024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.219942011,1 +21025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.183607112,1 +21022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.639156709,1 +21026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.112612756,1 +21027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.230739035,1 +21028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.510676046,1 +21030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.776357639,1 +21029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.742718413,1 +21032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,8.002707856,1 +21031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.93041931,1 +21033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.645083392,1 +21034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.180180933,1 +21036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.254970569,1 +21035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.556585154,1 +21037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.867548227,1 +21039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.461204043,1 +21038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.126897171,1 +21041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.164753188,1 +21040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.029430904,1 +21043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.742746669,1 +21042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.491615132,1 +21044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.823438816,1 +21045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.808696432,1 +21047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.626237739,1 +21046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.40371413,1 +21048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.232075027,1 +21049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.180778085,1 +21050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.331085334,1 +21052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.187877288,1 +21051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.870043713,1 +21053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.966953487,1 +21054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.971424735,1 +21055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.110029979,1 +21057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.606872474,1 +21058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.996934383,1 +21059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.176963853,1 +21060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.468018553,1 +21061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.260350914,1 +21056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.600731939,1 +21062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.208433042,1 +21063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.746136242,1 +21064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.110708113,1 +21066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.31890715,1 +21067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.653166721,1 +21068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.63745051,1 +21065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.969925301,1 +21070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.49345287,1 +21069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.233493,1 +21072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.635307271,1 +21071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.515728745,1 +21074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.646004335,1 +21073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.607397103,1 +21076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.697934778,1 +21075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.808671443,1 +21077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.524073842,1 +21078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.070968534,1 +21079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.120224235,1 +21081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.065258139,1 +21082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.190944706,1 +21083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.988721866,1 +21085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.388278766,1 +21084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.515037222,1 +21080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.124335407,1 +21086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.658987521,1 +21088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.374234384,1 +21087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.88802721,1 +21089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.162557275,1 +21090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.545387938,1 +21091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.664325168,1 +21092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.799495871,1 +21094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.772867446,1 +21093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.546843816,1 +21095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.893201539,1 +21097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.115432689,1 +21096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.293581485,1 +21099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.164053245,1 +21101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.074293549,1 +21098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.308570775,1 +21100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.530236359,1 +21102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.679790636,1 +21104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.636354626,1 +21105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.301337186,1 +21106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.661434606,1 +21103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.134691005,1 +21107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,1.690179931,1 +21108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.177325413,1 +21109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.389932558,1 +21111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.193589486,1 +21112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.482151714,1 +21110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.14186591,1 +21113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.906057815,1 +21115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.863185614,1 +21116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.844396047,1 +21114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.450048333,1 +21117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.565782223,1 +21118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.422637026,1 +21119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.074534971,1 +21120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.125156783,1 +21121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.733402337,1 +21122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,8.619618426,1 +21123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.155575813,1 +21124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.733264993,1 +21125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.586309427,1 +21126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.091642016,1 +21127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.714803145,1 +21129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.30543705,1 +21130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.260480522,1 +21132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.020115178,1 +21128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.549741472,1 +21131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.20248096,1 +21133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.870429595,1 +21135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.428959458,1 +21134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.466524722,1 +21136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.218756074,1 +21137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.574135278,1 +21138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.760155563,1 +21140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.587216029,1 +21139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,8.118423261,1 +21141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.889695692,1 +21142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.415175856,1 +21144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.49231765,1 +21143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.384977319,1 +21145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.586228389,1 +21147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.003994538,1 +21146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,8.195942168,1 +21148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.218369076,1 +21149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.949793208,1 +21151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.37420177,1 +21152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.627483166,1 +21153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.005809879,1 +21154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,1.436807938,1 +21155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.400375981,1 +21150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.857601533,1 +21156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.847314004,1 +21157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.315787848,1 +21158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.421133021,1 +21160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.879769503,1 +21159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.687102547,1 +21161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.166574013,1 +21162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.917124414,1 +21164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.608982932,1 +21163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.197944162,1 +21165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.696153443,1 +21166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.80553119,1 +21167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.148585296,1 +21169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.118602975,1 +21168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.579905868,1 +21170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.56648045,1 +21172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.982156312,1 +21174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.605363375,1 +21173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.667806789,1 +21171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.083249944,1 +21175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.341815125,1 +21176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.44457127,1 +21177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.006941688,1 +21178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.644442644,1 +21180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.98909919,1 +21181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.736699186,1 +21179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.541991656,1 +21182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.598947223,1 +21183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.338269707,1 +21184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.631196058,1 +21185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.445799673,1 +21186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.247014862,1 +21187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.512721691,1 +21189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.952410633,1 +21188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.467351056,1 +21191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.611242374,1 +21192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.541073681,1 +21190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.387292381,1 +21193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.214101461,1 +21195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.380008443,1 +21196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.523249302,1 +21194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.756814626,1 +21198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.328307053,1 +21199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.867921135,1 +21200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.369284537,1 +21197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.246723846,1 +21202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.893301102,1 +21203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.112754132,1 +21201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.755003826,1 +21206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.384973211,1 +21204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.54021736,1 +21207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.221129533,1 +21205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.930201832,1 +21208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.433634121,1 +21211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.141513937,1 +21210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.163417205,1 +21209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.725509527,1 +21212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.061165614,1 +21213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.579058937,1 +21214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.405138279,1 +21215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.257206865,1 +21216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.694506691,1 +21218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.392793318,1 +21219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.851146478,1 +21220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.636052874,1 +21221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.590542949,1 +21222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.675049172,1 +21217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.773285504,1 +21224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.858528203,1 +21223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.653149318,1 +21225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.501851342,1 +21226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.892469694,1 +21228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.894159383,1 +21227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.018838226,1 +21230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.58955181,1 +21229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.393239283,1 +21232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,8.197256675,1 +21231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.553543184,1 +21234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.220819102,1 +21233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.480491696,1 +21236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,8.984372438,1 +21235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.824408233,1 +21237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.832542691,1 +21239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.526439452,1 +21240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.211666531,1 +21241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.360526427,1 +21238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.151924265,1 +21242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.809844193,1 +21243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.286442547,1 +21244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.730249068,1 +21245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.900334014,1 +21246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,8.636505483,1 +21247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.282829413,1 +21248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.560305501,1 +21251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.593748445,1 +21250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.976279805,1 +21249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.628796394,1 +21252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.060870418,1 +21254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.841291663,1 +21253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.645318272,1 +21255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.514330306,1 +21256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.787080551,1 +21258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.507861287,1 +21257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.232398729,1 +21259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.875500708,1 +21260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.971194139,1 +21261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.377236711,1 +21262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.150673357,1 +21263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.459968201,1 +21264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.474736209,1 +21265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.709617107,1 +21266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.743180491,1 +21267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.297162699,1 +21268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.484039661,1 +21269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.302764999,1 +21270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.095406091,1 +21271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.27398951,1 +21273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.229947309,1 +21272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.642328421,1 +21274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.820875205,1 +21276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.305209788,1 +21277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.288668837,1 +21275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.188761568,1 +21278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.789631796,1 +21279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.035898915,1 +21280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.240230574,1 +21281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.947921245,1 +21282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.484280712,1 +21283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.257183853,1 +21284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.746167725,1 +21285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.57727105,1 +21286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,1.745142872,1 +21288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.234034796,1 +21287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.351106671,1 +21290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.113715542,1 +21291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.09434333,1 +21292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.890146299,1 +21289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.398275189,1 +21294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.679412127,1 +21295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.964829955,1 +21293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.435321308,1 +21296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.995072505,1 +21297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.259804078,1 +21298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.469443263,1 +21299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.988689483,1 +21301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.115644254,1 +21302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.368228303,1 +21300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.825395991,1 +21303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.583776037,1 +21304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.124742456,1 +21306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.392792731,1 +21307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.149822667,1 +21305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.298503183,1 +21308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.464308456,1 +21310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,1.75146516,1 +21311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.010743038,1 +21312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.866208518,1 +21309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.784243898,1 +21313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.7403296,1 +21314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.687082256,1 +21315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.404323398,1 +21317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.290392935,1 +21318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.142024614,1 +21316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.725847899,1 +21319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.522269918,1 +21321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.591191872,1 +21320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.115761048,1 +21322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.194712607,1 +21323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.044830052,1 +21325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,8.681076007,1 +21326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.809054857,1 +21327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.634974137,1 +21328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,8.003227262,1 +21324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.573511175,1 +21330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.755445869,1 +21331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.495264987,1 +21332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.760787682,1 +21333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.503372797,1 +21329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.151680814,1 +21335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.077848662,1 +21334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.186303414,1 +21337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.840453913,1 +21338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.533846934,1 +21336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.235278466,1 +21339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.223003733,1 +21342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.14515811,1 +21340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.905942199,1 +21343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.580869747,1 +21344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.353414193,1 +21345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.777564488,1 +21346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.65473865,1 +21341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.024465635,1 +21347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.386482091,1 +21350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.19355495,1 +21348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.715823824,1 +21349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.546272739,1 +21351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.683141524,1 +21352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.36663573,1 +21353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.959802675,1 +21354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.635012944,1 +21355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.619477269,1 +21356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.143073045,1 +21358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.773332318,1 +21359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.913674356,1 +21360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.507413183,1 +21357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.224105874,1 +21361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.745836466,1 +21362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.22871217,1 +21363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,8.463756987,1 +21365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.5417654,1 +21364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.719130738,1 +21366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.885692931,1 +21367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.28780659,1 +21368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.160316756,1 +21369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.679504687,1 +21370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.65552801,1 +21372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.01289412,1 +21371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.165402078,1 +21373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.555070907,1 +21374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.396802189,1 +21375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.485332236,1 +21376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.660555455,1 +21377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.971193583,1 +21378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.417738193,1 +21379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.614223797,1 +21380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.956782129,1 +21382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.916035634,1 +21381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.438356039,1 +21383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.815141744,1 +21385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.245970962,1 +21386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.166758899,1 +21387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.258835769,1 +21384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.502361423,1 +21388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.96272304,1 +21389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.924402823,1 +21390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.470303706,1 +21391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.753016463,1 +21392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.031271051,1 +21393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.116559514,1 +21394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.619601525,1 +21396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.405121972,1 +21395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.689862059,1 +21397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.951558514,1 +21398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.987948671,1 +21399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.636482301,1 +21401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.372081919,1 +21400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.305177431,1 +21402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.303642963,1 +21403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.484880932,1 +21404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.965700636,1 +21406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.939385551,1 +21407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.115017717,1 +21408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.221796912,1 +21409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.906533263,1 +21405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.687915548,1 +21410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.201668147,1 +21412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.742641742,1 +21411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.864994591,1 +21413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.432664583,1 +21415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.340901326,1 +21414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.871599043,1 +21416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.018537588,1 +21419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.760973458,1 +21418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.999290727,1 +21417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.121416851,1 +21420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.235910134,1 +21421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,1.621745598,1 +21422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.1647008,1 +21424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.289491092,1 +21425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.329214739,1 +21426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.179022062,1 +21423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.25539199,1 +21427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.021140264,1 +21429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.461243943,1 +21428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.323591305,1 +21430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.077740439,1 +21431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.259269688,1 +21432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.86155438,1 +21433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.651530048,1 +21435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.996482259,1 +21434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.054212394,1 +21437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.719682043,1 +21436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.467754918,1 +21438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.603400547,1 +21439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.108347279,1 +21440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.789666486,1 +21441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.582559053,1 +21442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.690618607,1 +21444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.505239054,1 +21446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.177093323,1 +21443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.79177093,1 +21447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.34650355,1 +21445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.076412306,1 +21448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.160306476,1 +21450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.335261014,1 +21449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.455144989,1 +21452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,1.907781927,1 +21451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.864117309,1 +21453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.252464594,1 +21454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.422124257,1 +21456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.307903806,1 +21455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.592566286,1 +21457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.966320183,1 +21458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.182539844,1 +21460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.023472483,1 +21459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.85749791,1 +21461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.4555439,1 +21463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.176781923,1 +21464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.579500201,1 +21462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.976867851,1 +21465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.00703771,1 +21467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.063118182,1 +21469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.02920443,1 +21468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.225299484,1 +21470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.462532364,1 +21471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.692249761,1 +21466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.365548798,1 +21472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.198035033,1 +21475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.123959786,1 +21473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.124306618,1 +21476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.251046492,1 +21474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.509016202,1 +21478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.137684366,1 +21477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.988033155,1 +21480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.440880865,1 +21482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.251745563,1 +21481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.217321104,1 +21483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.485258028,1 +21479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.857635127,1 +21485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.607383985,1 +21486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.905737562,1 +21487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.012068259,1 +21488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.608018891,1 +21484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.593107351,1 +21489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.506956197,1 +21490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.419257963,1 +21492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.786300868,1 +21491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,1.95372896,1 +21493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.404708284,1 +21494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.280910776,1 +21495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.05775883,1 +21496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.237286157,1 +21497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.650344199,1 +21499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.911043898,1 +21500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.978030514,1 +21501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,8.577966401,1 +21503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,8.851460242,1 +21498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.519356595,1 +21502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.628035401,1 +21504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.64567999,1 +21506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.879496669,1 +21505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.304146625,1 +21507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.796856607,1 +21508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.748155974,1 +21510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.40012164,1 +21511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.860658356,1 +21509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.207534115,1 +21512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.726770227,1 +21513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.604193732,1 +21514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.678532181,1 +21516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.227781416,1 +21517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.714689509,1 +21518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.75825603,1 +21515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.951468897,1 +21519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.153371192,1 +21521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.424735265,1 +21522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.735285724,1 +21520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.031953275,1 +21523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.985510675,1 +21524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.990741802,1 +21525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.443854315,1 +21526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.43266882,1 +21527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.761034566,1 +21528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.48408919,1 +21530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.0283274,1 +21529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.670429459,1 +21531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.028302741,1 +21532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.377056528,1 +21533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.752412821,1 +21535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.200496197,1 +21534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.092039216,1 +21537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.848295502,1 +21536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.835392053,1 +21539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.187025156,1 +21541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.696380172,1 +21540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.472418719,1 +21538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.688343216,1 +21544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.279175528,1 +21543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.736185462,1 +21542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.75761795,1 +21546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.225747767,1 +21547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.624145818,1 +21545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,8.57426713,1 +21548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.720242018,1 +21549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.781275449,1 +21551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.876883701,1 +21550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.611368745,1 +21552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.858084128,1 +21554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.867461453,1 +21555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.965725705,1 +21553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.708074443,1 +21558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.789806712,1 +21556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.173756294,1 +21559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.742351374,1 +21560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.290638325,1 +21557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.347033316,1 +21562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.751420654,1 +21561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.624018199,1 +21565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.472352498,1 +21564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.312085252,1 +21566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.794226589,1 +21563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.683026677,1 +21567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.440004035,1 +21568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.725617483,1 +21570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.038291474,1 +21569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.961828358,1 +21571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.969790492,1 +21572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.562219553,1 +21573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.683985138,1 +21574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.890084655,1 +21575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.894518446,1 +21577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.488928245,1 +21579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.663072759,1 +21578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.87257875,1 +21576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.383824337,1 +21580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.800493616,1 +21583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.007270773,1 +21581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.09110381,1 +21584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.079930156,1 +21585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.970314126,1 +21586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.712475207,1 +21587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.039449178,1 +21582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.239611873,1 +21588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,1.279346265,1 +21589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.393700271,1 +21590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.301492485,1 +21592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.719586787,1 +21593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.849039046,1 +21594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.012426073,1 +21591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.737074796,1 +21598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.370583662,1 +21595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.194777197,1 +21596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.713035764,1 +21597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.701379938,1 +21600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.999741381,1 +21599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,1.25842839,1 +21601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.945845614,1 +21602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.053602037,1 +21603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.311158018,1 +21605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.708830239,1 +21606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.153466235,1 +21607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.723872589,1 +21604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.096428324,1 +21608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.220303547,1 +21609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.388451545,1 +21612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.794490908,1 +21610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,1.886473477,1 +21611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.849080774,1 +21613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.989520978,1 +21614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.01687377,1 +21617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.150214057,1 +21615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.403885824,1 +21616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.213027855,1 +21618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.137735978,1 +21619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.188164617,1 +21620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.96339324,1 +21621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.097376565,1 +21622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.757062263,1 +21623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.269224369,1 +21624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.875692709,1 +21626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.648173174,1 +21625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.72855481,1 +21628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.60788423,1 +21627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.492682238,1 +21629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,1.79322194,1 +21633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.649729434,1 +21632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.442045768,1 +21630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.976405543,1 +21635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.002899829,1 +21634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.893028272,1 +21636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.910116245,1 +21637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.135441744,1 +21638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.755306012,1 +21631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.084292687,1 +21639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.119712346,1 +21640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.202297055,1 +21642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.982089983,1 +21641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.621741645,1 +21644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.108060866,1 +21643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.051743155,1 +21645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.923753051,1 +21646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.31684818,1 +21647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.238322657,1 +21650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.219054425,1 +21649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.419572302,1 +21648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.337845443,1 +21651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.278232823,1 +21653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.057256955,1 +21654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.598637332,1 +21655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.014315918,1 +21652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.107006892,1 +21657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.955693231,1 +21656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.278864879,1 +21659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.079388868,1 +21661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.814838334,1 +21658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.46538918,1 +21662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.062178239,1 +21663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.031006315,1 +21664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.713347691,1 +21660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.177130752,1 +21665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.388003456,1 +21666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.954299531,1 +21667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.382878611,1 +21668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.079333942,1 +21670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.509500734,1 +21671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.455774188,1 +21669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.719581554,1 +21672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.44316837,1 +21674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.546906101,1 +21675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.189973506,1 +21673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.562799709,1 +21676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.682953571,1 +21677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.68567597,1 +21678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.593552344,1 +21679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.395922784,1 +21681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.156978836,1 +21682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.514235077,1 +21683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.335543038,1 +21685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.005974646,1 +21684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.387654878,1 +21686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.494096087,1 +21680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.402186395,1 +21688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.383083882,1 +21689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.420459216,1 +21690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.867403485,1 +21687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.738034098,1 +21691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.931922781,1 +21693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.308964178,1 +21692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,1.30630704,1 +21694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.858695036,1 +21695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.740486409,1 +21697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.12470198,1 +21696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.159894583,1 +21698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.052799617,1 +21699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.475704464,1 +21700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.377926584,1 +21702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.637431276,1 +21703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.608566544,1 +21701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.239678577,1 +21704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.617988302,1 +21705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.570774001,1 +21706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.950840955,1 +21707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.503403379,1 +21708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.46314834,1 +21709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.973771762,1 +21710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.869248011,1 +21711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.308660091,1 +21714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.493501378,1 +21713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.687046278,1 +21712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.682509388,1 +21715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.877980477,1 +21716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.033692772,1 +21717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.341997627,1 +21718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.278251145,1 +21720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.731424716,1 +21721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.04522589,1 +21722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.41162873,1 +21719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.395315334,1 +21724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.775229436,1 +21723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.916854145,1 +21726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.220689088,1 +21727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.889202244,1 +21728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.625539305,1 +21729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.372313544,1 +21725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.040485519,1 +21730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.10666389,1 +21731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.951892387,1 +21732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.77690834,1 +21733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.363198697,1 +21734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.908581481,1 +21735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.655815114,1 +21737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.804556764,1 +21738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.132109245,1 +21739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.969536705,1 +21740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.146907496,1 +21736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.611622626,1 +21741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.417919555,1 +21742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.003975828,1 +21744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.614807315,1 +21745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.632398653,1 +21746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.016065828,1 +21747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.082713412,1 +21743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.601575131,1 +21748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.633795764,1 +21749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.316752276,1 +21751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.803724764,1 +21750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.717327239,1 +21753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.810244325,1 +21752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.90776698,1 +21754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.910508233,1 +21755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.659091022,1 +21758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.831808581,1 +21757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.090671193,1 +21759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.76445994,1 +21761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.066669266,1 +21760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,8.751090643,1 +21762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.181516275,1 +21763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.546123486,1 +21756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.556052323,1 +21765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.190252937,1 +21764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.330489867,1 +21767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.758226197,1 +21766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.492277544,1 +21768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.97248844,1 +21769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.842892202,1 +21771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.85738714,1 +21770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.592635436,1 +21773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.954971197,1 +21772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.298067589,1 +21774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.790333056,1 +21776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.506339353,1 +21777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.701000988,1 +21778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.039613707,1 +21779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.688256791,1 +21775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.388192514,1 +21780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.267921044,1 +21781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.697189636,1 +21783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.843155556,1 +21784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.128379601,1 +21782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.170163712,1 +21785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.868838619,1 +21786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.082979903,1 +21787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.994749345,1 +21788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.549576798,1 +21789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.847938197,1 +21790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.29498618,1 +21791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.867141007,1 +21792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.178243302,1 +21793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.051085453,1 +21797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.296626194,1 +21795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.752871,1 +21794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.546177086,1 +21796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.612793207,1 +21798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.556718478,1 +21801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.588282643,1 +21800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.152734445,1 +21799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,1.845969074,1 +21802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.217605368,1 +21803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,1.897238096,1 +21804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.844570102,1 +21805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.063409926,1 +21807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.176457101,1 +21806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.456730767,1 +21808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.811795828,1 +21809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.311138165,1 +21810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.618692713,1 +21811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.400624527,1 +21812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.738619934,1 +21813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.355535798,1 +21814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.595976432,1 +21816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.066415776,1 +21815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.727543378,1 +21818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.537102995,1 +21817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.344002544,1 +21819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.391360597,1 +21821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.647859782,1 +21820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.42295425,1 +21822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.939616938,1 +21823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.2687393,1 +21824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.287711129,1 +21826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.269241984,1 +21825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.177731143,1 +21827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.816217227,1 +21828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.163223398,1 +21830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.938134744,1 +21831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.32826276,1 +21832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.999466707,1 +21829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.111999922,1 +21834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.544986849,1 +21835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.715642406,1 +21836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.802364686,1 +21833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.295458589,1 +21837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.982692092,1 +21838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.320487303,1 +21841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.476311149,1 +21839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.263573938,1 +21840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.888594441,1 +21844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.47148197,1 +21842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.661198081,1 +21845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.306504858,1 +21843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.482995526,1 +21848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.381471772,1 +21847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.599055081,1 +21849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.155340628,1 +21850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.435397373,1 +21851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.426590148,1 +21852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.899695139,1 +21846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.90966257,1 +21854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.468547003,1 +21855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.676402689,1 +21856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.556405043,1 +21853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,8.73766914,1 +21857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.168307218,1 +21859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.788963764,1 +21860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.691644325,1 +21858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.925758802,1 +21862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.736777073,1 +21861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.990091644,1 +21863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.68761483,1 +21864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.293047915,1 +21865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.664224853,1 +21867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.681951105,1 +21868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.253885292,1 +21869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,8.101851868,1 +21866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.58295852,1 +21871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.551234282,1 +21872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.578198879,1 +21873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.167791874,1 +21870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.935692021,1 +21874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.050132757,1 +21875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.536412185,1 +21876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.129436654,1 +21877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.698284472,1 +21878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.871607033,1 +21879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.123985,1 +21880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.889285215,1 +21881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.933359382,1 +21882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.002229473,1 +21883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.309831869,1 +21885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.954870861,1 +21886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.905910081,1 +21884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.792191563,1 +21887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.591491508,1 +21889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.488307331,1 +21890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.32921106,1 +21888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.232584492,1 +21891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.174664019,1 +21892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.922942447,1 +21894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.720405714,1 +21893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.344466078,1 +21895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.658793179,1 +21896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.606617545,1 +21897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.619878449,1 +21899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.412460626,1 +21898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.448930241,1 +21900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.487644687,1 +21901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.66990364,1 +21903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.148312717,1 +21904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.700373151,1 +21905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.566033731,1 +21906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.274796478,1 +21907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.718077746,1 +21902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.480076829,1 +21908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.675769695,1 +21909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.268473601,1 +21910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.393637604,1 +21911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.815730113,1 +21912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.733848847,1 +21913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.067129102,1 +21914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.527995887,1 +21915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.615890703,1 +21916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.129556465,1 +21918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.611637765,1 +21917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.448158495,1 +21922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.402875724,1 +21920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.422899242,1 +21921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.887260272,1 +21924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.727181754,1 +21923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.997267699,1 +21919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.870194531,1 +21925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.371133383,1 +21926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.6975264,1 +21927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.296011258,1 +21929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.322528427,1 +21928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.806106428,1 +21930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.177516864,1 +21931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.632027619,1 +21932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.040317405,1 +21934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.656458904,1 +21935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.914643107,1 +21933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.445734985,1 +21936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.269428046,1 +21937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.423383913,1 +21938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.706546374,1 +21939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.358002654,1 +21940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.4710513,1 +21941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.015088933,1 +21942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,8.82057807,1 +21944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.848411785,1 +21945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.49681035,1 +21946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.955409781,1 +21943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.565994926,1 +21947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.736768427,1 +21948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.810574803,1 +21949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.589255994,1 +21952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.40885222,1 +21951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.245768089,1 +21953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.324124198,1 +21950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.910714103,1 +21954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.719128449,1 +21956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.067047514,1 +21955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.727416877,1 +21957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.472102851,1 +21958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.235459598,1 +21959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.620440222,1 +21960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.351808048,1 +21961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.18624638,1 +21962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.988483047,1 +21963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.226803107,1 +21964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.34573719,1 +21967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.575032242,1 +21968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.69360327,1 +21966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.268534531,1 +21965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.130546012,1 +21969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.596936792,1 +21971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.720040575,1 +21973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.613947073,1 +21972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.293968369,1 +21974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.238456539,1 +21970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.286082525,1 +21975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.039246445,1 +21976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.46381612,1 +21977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.012199511,1 +21979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.109107375,1 +21981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.075883822,1 +21978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.987214124,1 +21980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.272325029,1 +21984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.946205456,1 +21982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.020292237,1 +21985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.02378281,1 +21983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.540307386,1 +21986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,7.508159769,1 +21987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.323931605,1 +21988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.212336418,1 +21989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.938311119,1 +21991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.388304836,1 +21992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,2.512945259,1 +21993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.090625639,1 +21994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.723546932,1 +21990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.686200333,1 +21996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.806149682,1 +21998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,6.542974988,1 +21995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.436362945,1 +21997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,5.292756057,1 +21999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,4.40061171,1 +22000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,2,1,3.933355355,1 +31002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.404763908,1 +31001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.594007673,1 +31003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.466803825,1 +31004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.266989992,1 +31005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.725356733,1 +31007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.49522047,1 +31006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.412945384,1 +31008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.424540544,1 +31009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.249940661,1 +31012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,8.473117636,1 +31011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.94629934,1 +31010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.774908949,1 +31013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.127483639,1 +31014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.711323456,1 +31015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.600840769,1 +31017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.683932213,1 +31016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,8.594475862,1 +31018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.577610158,1 +31020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.018025768,1 +31019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.086059218,1 +31021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.691329793,1 +31022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.961522813,1 +31023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.19464032,1 +31025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.809660949,1 +31026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.48708054,1 +31024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.548019693,1 +31028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.877808702,1 +31027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.48910689,1 +31029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.791280185,1 +31030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,8.889716046,1 +31032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.004176771,1 +31033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.324207239,1 +31035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.270450889,1 +31036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.019299573,1 +31034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.920032488,1 +31031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.581412746,1 +31038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.71503303,1 +31040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.874641331,1 +31039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.232368413,1 +31037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.776512316,1 +31041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.340136251,1 +31042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.04436543,1 +31043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.648052573,1 +31044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.797628437,1 +31046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.843550201,1 +31045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.708227978,1 +31047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.528390701,1 +31048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.161123747,1 +31050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.91213324,1 +31052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.032207514,1 +31051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.331807262,1 +31049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.778086735,1 +31053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.922376829,1 +31054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.050420669,1 +31055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.295390595,1 +31056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,1.600276564,1 +31057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.322337065,1 +31058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.937752554,1 +31059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.179293129,1 +31060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.981674816,1 +31061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.465099085,1 +31062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.405126595,1 +31066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.312281791,1 +31064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.286476757,1 +31063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.622856392,1 +31065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.018973405,1 +31067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.096364063,1 +31069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.430377392,1 +31068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.256411702,1 +31070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.236562144,1 +31071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.03425817,1 +31073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.55031349,1 +31074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.844501364,1 +31075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,10.16036188,1 +31072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.898527917,1 +31077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.95256878,1 +31076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.616284775,1 +31078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.011548765,1 +31081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.01800502,1 +31080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.956737366,1 +31082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.384283284,1 +31079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.569349763,1 +31084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.914560847,1 +31083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.121570167,1 +31086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.079859207,1 +31085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.860366154,1 +31087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.085961247,1 +31088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.924297766,1 +31090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.36122754,1 +31089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.930222123,1 +31091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.076761935,1 +31092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.980539334,1 +31093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.201481126,1 +31095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.269116555,1 +31096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.620980769,1 +31097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.589533421,1 +31098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.78557511,1 +31094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.282700766,1 +31099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.46352744,1 +31102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,9.30677911,1 +31100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.723309436,1 +31101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.337121615,1 +31103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.040176799,1 +31105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.824912745,1 +31104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.360699891,1 +31106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.836376527,1 +31107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.092643221,1 +31108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.485388,1 +31110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.110763002,1 +31109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.861320045,1 +31111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.847047849,1 +31112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.580520526,1 +31113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.749113577,1 +31114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.28513647,1 +31116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.692051089,1 +31118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.293094925,1 +31115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.325540477,1 +31117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.195998111,1 +31119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.062933721,1 +31120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.967197159,1 +31122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.190689583,1 +31121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.573493076,1 +31123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.154754967,1 +31124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.869478343,1 +31125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.241728046,1 +31127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.840757083,1 +31126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.97293372,1 +31129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.166231208,1 +31128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.726750398,1 +31130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.757661318,1 +31133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.865979507,1 +31131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.835773749,1 +31132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.606100897,1 +31135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.400866102,1 +31137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.838450005,1 +31136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.340688547,1 +31134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.678628062,1 +31138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.3292032,1 +31139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.74971462,1 +31140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.374992345,1 +31143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.324662736,1 +31142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.754124669,1 +31141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.196708116,1 +31144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.735279443,1 +31145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.812285041,1 +31146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.088243998,1 +31147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.70116573,1 +31148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.440319801,1 +31150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.4126351,1 +31149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.502741033,1 +31151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.572640618,1 +31153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.294894501,1 +31152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.222828903,1 +31154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.350198363,1 +31156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.627898677,1 +31158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.800215431,1 +31157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.719248036,1 +31155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.142332271,1 +31161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.181317001,1 +31159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.234326005,1 +31160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.062568586,1 +31162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.181594219,1 +31164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.857951176,1 +31165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.596869623,1 +31166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.578874185,1 +31167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.793277322,1 +31168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.376004521,1 +31163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.589886603,1 +31169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.236046831,1 +31170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.911082659,1 +31172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.061755348,1 +31171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.243201006,1 +31173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.146047819,1 +31174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.363719206,1 +31176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.175972035,1 +31175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.56106553,1 +31177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.569169836,1 +31180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.190171131,1 +31179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.196635652,1 +31178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.32280366,1 +31181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.669463003,1 +31183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.044298344,1 +31184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.704605883,1 +31185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.113206692,1 +31186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.651880051,1 +31187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.731873535,1 +31182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.36046202,1 +31188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.428739025,1 +31189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.984532019,1 +31190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.568268491,1 +31193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.026524325,1 +31191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.415558994,1 +31192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.268920634,1 +31194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.748362994,1 +31195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.421893754,1 +31196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.587950606,1 +31197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.074779378,1 +31199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.578224287,1 +31198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.818517245,1 +31200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.28923992,1 +31201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.420415689,1 +31202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.73482703,1 +31203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.113534582,1 +31205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.047058918,1 +31206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.289710811,1 +31207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.340227411,1 +31204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.288423369,1 +31209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.833290218,1 +31210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.375440152,1 +31208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.287891064,1 +31211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.715179626,1 +31212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.790295435,1 +31214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.316590891,1 +31213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.505400192,1 +31215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.858213268,1 +31216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.517686122,1 +31217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.087958843,1 +31218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.05004999,1 +31219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.175871289,1 +31220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.199882673,1 +31221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.334984209,1 +31222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.720415544,1 +31224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.683818064,1 +31225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.038976899,1 +31223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.955958936,1 +31226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.745823792,1 +31227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.022697517,1 +31228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.271772562,1 +31229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.840274244,1 +31230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.428840531,1 +31231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.183296198,1 +31232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.77159554,1 +31233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.396690897,1 +31234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.622094787,1 +31235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.432740126,1 +31236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.524718889,1 +31238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.639067611,1 +31237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.878565537,1 +31239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.348232444,1 +31240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.938041057,1 +31241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.536222981,1 +31243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.800761788,1 +31245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.785093466,1 +31242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.241675732,1 +31246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.019869102,1 +31247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.640681963,1 +31248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.627907138,1 +31244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.643044633,1 +31249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.470186392,1 +31250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.710554205,1 +31251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.04907481,1 +31253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.599184439,1 +31252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.767392447,1 +31254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.356251523,1 +31257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.678123041,1 +31255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.447209158,1 +31256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.523805905,1 +31258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.137838659,1 +31259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.769559378,1 +31261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.915380184,1 +31260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.791780509,1 +31262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.899090468,1 +31264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.214246684,1 +31265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.957332926,1 +31266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.456585316,1 +31267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.361578998,1 +31268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.611616875,1 +31263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.398780057,1 +31269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.870466544,1 +31272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.599057133,1 +31270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.081262135,1 +31273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.649969989,1 +31275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.291677646,1 +31274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.786736998,1 +31276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.154273092,1 +31271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.445848757,1 +31277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.671319859,1 +31278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.28176172,1 +31279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.786220892,1 +31281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.890645156,1 +31283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.707862199,1 +31280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.093547932,1 +31282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.710829819,1 +31285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.689194147,1 +31286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.351627591,1 +31284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.171024468,1 +31287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.000714667,1 +31288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.559118698,1 +31289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.2584232,1 +31290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.809991368,1 +31291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.302888949,1 +31293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.278485326,1 +31294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.496540054,1 +31295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.901418713,1 +31296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.08367888,1 +31297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.270083102,1 +31298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.995783929,1 +31292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.845173097,1 +31300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.69506477,1 +31302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.091504924,1 +31299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.851651701,1 +31301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.824283709,1 +31303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,8.851557051,1 +31305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.76438553,1 +31306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.045665975,1 +31304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.096118395,1 +31307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.924699685,1 +31308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.482569238,1 +31309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.977463038,1 +31311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.669415074,1 +31310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.54235125,1 +31312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.479248329,1 +31314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.098781808,1 +31313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.210528033,1 +31315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.126531589,1 +31317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.530701785,1 +31316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.714944107,1 +31318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.208494391,1 +31319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.065820816,1 +31320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.708708944,1 +31321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.744032425,1 +31322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.891946083,1 +31323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.613761149,1 +31324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.19333984,1 +31325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.661133206,1 +31326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.16422742,1 +31328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.680138889,1 +31327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.348870928,1 +31329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,8.885032868,1 +31330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.904931028,1 +31331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.976112762,1 +31333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.77801955,1 +31334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.594453207,1 +31332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.992959162,1 +31335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.690820881,1 +31336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.268393928,1 +31337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.265696442,1 +31338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.546501175,1 +31339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.186335546,1 +31340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.995974639,1 +31341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.600513175,1 +31342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.552166525,1 +31343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.491561722,1 +31344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.551077027,1 +31345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.28759241,1 +31347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,8.362165597,1 +31349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.161669788,1 +31348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.010860502,1 +31346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.918952258,1 +31350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.595577325,1 +31351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,0.798270066,1 +31352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.186142181,1 +31354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.686914394,1 +31355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.414514404,1 +31356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.749184771,1 +31357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.584164644,1 +31353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.687839363,1 +31358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.020687125,1 +31360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.172009783,1 +31359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.715119834,1 +31361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.851542211,1 +31364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.013200513,1 +31363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.631392548,1 +31362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.988950936,1 +31365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.536421895,1 +31366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.129721094,1 +31367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.512963759,1 +31368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.556705344,1 +31370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.62607927,1 +31371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.251275383,1 +31372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.646890096,1 +31373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.240315704,1 +31374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.703047716,1 +31375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.421684703,1 +31369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,1.976675309,1 +31376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.748701763,1 +31377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.523981551,1 +31379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.767614362,1 +31378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.706791411,1 +31380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.065363484,1 +31381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.621826629,1 +31382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.164622982,1 +31383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.653758008,1 +31384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.4017195,1 +31385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.43382341,1 +31387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.211967483,1 +31386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.789310302,1 +31388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.027114823,1 +31389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.479554531,1 +31390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.961870966,1 +31392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.446860464,1 +31393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.879920859,1 +31394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.00417801,1 +31395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.81827463,1 +31391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.028500765,1 +31396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.901019966,1 +31397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.141669304,1 +31398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.976841625,1 +31399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.447280592,1 +31400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.700822874,1 +31401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.578114684,1 +31402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.259717211,1 +31403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.097967414,1 +31404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.791398411,1 +31405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.342795299,1 +31406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.570997538,1 +31408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.932629786,1 +31407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,8.065167025,1 +31410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.501050022,1 +31409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.667654275,1 +31411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.426584718,1 +31413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.454592897,1 +31414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.070860356,1 +31412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.922048359,1 +31416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.583123835,1 +31417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.533650985,1 +31415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.792139812,1 +31418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.417966871,1 +31419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.185208434,1 +31420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.391908012,1 +31422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.115420959,1 +31421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.411418849,1 +31423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.968273448,1 +31424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.951972984,1 +31426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.206788378,1 +31427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.023207889,1 +31428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.78704104,1 +31425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.437457302,1 +31429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.108007979,1 +31430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.437721133,1 +31431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.174889268,1 +31432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.589676169,1 +31434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.337760652,1 +31435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.732667507,1 +31433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.809493221,1 +31436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.20527986,1 +31437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.050815597,1 +31438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.150500166,1 +31440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.937105982,1 +31439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.687255696,1 +31441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.029946551,1 +31442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.732899866,1 +31444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.883333455,1 +31445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,8.067222349,1 +31447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.004498902,1 +31446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.337647949,1 +31443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.338753729,1 +31448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.998963635,1 +31450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.576380683,1 +31449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.929114969,1 +31452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.524650638,1 +31453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.506830787,1 +31451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.880311996,1 +31454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.802082159,1 +31456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.047728209,1 +31455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.437074865,1 +31457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.870553243,1 +31458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.629333939,1 +31459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.769654118,1 +31460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.155196405,1 +31461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.231990189,1 +31462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.559057528,1 +31464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.823517999,1 +31466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.547896488,1 +31463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.58661695,1 +31467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.484089265,1 +31468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.538549873,1 +31469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.287031136,1 +31465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.160980314,1 +31470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.394507034,1 +31471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.019529859,1 +31472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.095272113,1 +31473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.031845139,1 +31476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.725218538,1 +31474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.265604707,1 +31475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.126481599,1 +31477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.879582752,1 +31478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.035853908,1 +31479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.557710419,1 +31480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.810927478,1 +31481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.760676912,1 +31482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.006302077,1 +31483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.025022478,1 +31484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.790030802,1 +31485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.997597817,1 +31488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.455768758,1 +31486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.424279304,1 +31487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.316777169,1 +31490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.355411375,1 +31491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.311441741,1 +31489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.756751834,1 +31494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.288744282,1 +31495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.960929398,1 +31492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.667714051,1 +31493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.212403307,1 +31496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.344111167,1 +31497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.492121047,1 +31498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.76711596,1 +31499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.384621963,1 +31502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.517273002,1 +31500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.458059371,1 +31503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.652234678,1 +31501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.658672746,1 +31505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.106932898,1 +31506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.12085866,1 +31507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.257682365,1 +31504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.349415879,1 +31508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.882175963,1 +31509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.436308999,1 +31510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.802947709,1 +31512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.820020119,1 +31511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.302049906,1 +31513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.619386101,1 +31516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.64784157,1 +31514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.724696781,1 +31515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.442367338,1 +31517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.592080681,1 +31518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.568515556,1 +31520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.409924166,1 +31519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.734358015,1 +31521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.683591101,1 +31522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.514292158,1 +31523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.582621902,1 +31524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.5327654,1 +31525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.242644737,1 +31527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.794243266,1 +31528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.373694429,1 +31526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.084489509,1 +31530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.220937094,1 +31529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.091950405,1 +31532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.698955657,1 +31531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.64503791,1 +31533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.782682381,1 +31534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.159977706,1 +31535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.539744992,1 +31536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.154204695,1 +31538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.861964976,1 +31537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.021573416,1 +31539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.560974964,1 +31541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.815323957,1 +31542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.67220429,1 +31540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.517835443,1 +31544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.919450849,1 +31545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.263178097,1 +31546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.769183284,1 +31543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.227723959,1 +31550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.344454613,1 +31547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.520127679,1 +31548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.671771686,1 +31551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.885218927,1 +31552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.986586076,1 +31553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.03126827,1 +31549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.651685383,1 +31554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.796761189,1 +31555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.521204838,1 +31556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.071854776,1 +31559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.406058426,1 +31560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.789030517,1 +31558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.723283322,1 +31557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.313920518,1 +31561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.233293112,1 +31563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.746967283,1 +31562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.767977864,1 +31564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.196436315,1 +31565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.365116302,1 +31566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.014639763,1 +31567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.832911173,1 +31568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.570461695,1 +31569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.925827587,1 +31570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.939082622,1 +31571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.319528986,1 +31573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.931662536,1 +31575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.436159652,1 +31576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.314202144,1 +31572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.010177134,1 +31577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.969533318,1 +31574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.778913585,1 +31579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.144975684,1 +31578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.894103797,1 +31581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.596794212,1 +31580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.777307481,1 +31583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.345548217,1 +31582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.825434068,1 +31584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.9591559,1 +31585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.649586799,1 +31586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.791376147,1 +31587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.517406597,1 +31588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.621731017,1 +31589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.141414789,1 +31590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.832579101,1 +31592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.058677116,1 +31593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.146598038,1 +31594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.383578639,1 +31591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.818486697,1 +31595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.560353323,1 +31596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.023650522,1 +31597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.297862813,1 +31598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.193201971,1 +31599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.650958087,1 +31600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.735202052,1 +31601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.456112823,1 +31603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.483103235,1 +31602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.039266825,1 +31604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.446905621,1 +31606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.38064413,1 +31605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.296358734,1 +31608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.354545992,1 +31607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.114385231,1 +31611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.508146638,1 +31610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.647438644,1 +31609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.327072609,1 +31612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.461286003,1 +31614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.439740575,1 +31613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.888486833,1 +31615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.412547199,1 +31616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.724845659,1 +31617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.397548249,1 +31619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.105627852,1 +31618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.67961286,1 +31621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.080912623,1 +31622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.229067601,1 +31623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.72977252,1 +31620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.169286573,1 +31624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.860653197,1 +31626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.102542302,1 +31625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.441848251,1 +31628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.841114116,1 +31629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.564598854,1 +31630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,8.71587605,1 +31627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.325764863,1 +31631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.227566322,1 +31632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.178514234,1 +31633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.568496221,1 +31635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.322355399,1 +31636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,1.369974917,1 +31637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.120202583,1 +31634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.092493539,1 +31639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.543617939,1 +31638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.281508032,1 +31640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.757484528,1 +31641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.718989573,1 +31642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.878021146,1 +31643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.019014397,1 +31644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.438331626,1 +31646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.639959848,1 +31645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.784571633,1 +31647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.515519964,1 +31648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.40077303,1 +31649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.649803427,1 +31651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.956953642,1 +31652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.729079586,1 +31653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.965957013,1 +31654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.126017071,1 +31655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.693451292,1 +31650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.163216583,1 +31656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.964049033,1 +31659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.564582674,1 +31657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.696499448,1 +31658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.285805708,1 +31660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.362393757,1 +31661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.391916732,1 +31662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.366786621,1 +31663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.942736231,1 +31664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.002460451,1 +31666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.513433426,1 +31665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.55944829,1 +31667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.577853295,1 +31668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.345419569,1 +31669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.903148081,1 +31671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,8.331530523,1 +31670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,1.413018902,1 +31673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.151646267,1 +31672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.605944175,1 +31674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.681186473,1 +31677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,8.167387956,1 +31675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.488700789,1 +31676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.606159011,1 +31678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.479864948,1 +31679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.446269181,1 +31681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.260190602,1 +31682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.385196749,1 +31680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.655619612,1 +31683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.404983932,1 +31684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,1.329665795,1 +31685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.346113362,1 +31686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.446314145,1 +31688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.816584079,1 +31689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.577781809,1 +31687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.462364062,1 +31690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.189587857,1 +31691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.68005146,1 +31692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.024521045,1 +31693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.006039364,1 +31694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.941090649,1 +31695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.854055953,1 +31696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.347859672,1 +31697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.636404469,1 +31698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.747286862,1 +31699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.960938905,1 +31700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.163041769,1 +31701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.797124731,1 +31702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.212375282,1 +31703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.717710944,1 +31704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.717810176,1 +31705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.30041505,1 +31707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.862497471,1 +31708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.529506331,1 +31709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.88755878,1 +31710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.591550798,1 +31711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.005558476,1 +31712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.933882042,1 +31706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.357078931,1 +31713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.921343283,1 +31714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.434501794,1 +31715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.032060063,1 +31716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.571106286,1 +31718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.297727226,1 +31717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.306377276,1 +31719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.121367951,1 +31720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.667116554,1 +31721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.525006227,1 +31722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.53214346,1 +31724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.575089508,1 +31723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.305966256,1 +31725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.777235212,1 +31726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.770733982,1 +31728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.758507782,1 +31729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.59781545,1 +31730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.503478867,1 +31731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.814879431,1 +31727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.605542021,1 +31732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.930887014,1 +31733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.968599344,1 +31734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.066753232,1 +31737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.111039871,1 +31736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.648519423,1 +31735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.168927048,1 +31738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.638488999,1 +31739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.647580006,1 +31740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.300532129,1 +31742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.480885316,1 +31741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.502971015,1 +31743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.811930445,1 +31744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.421385167,1 +31745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.634818056,1 +31747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.394746912,1 +31748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.683960977,1 +31746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.215062223,1 +31749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.681674423,1 +31750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.820374853,1 +31751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.843504507,1 +31752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.250918698,1 +31753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.371043898,1 +31754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.905170359,1 +31755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.440155495,1 +31756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.030985681,1 +31757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.296668711,1 +31758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.377862158,1 +31759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.473148788,1 +31761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.416066388,1 +31760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.840788443,1 +31762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.332947333,1 +31763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.72379562,1 +31767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.93279997,1 +31765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.543068618,1 +31768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.070071939,1 +31764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.405469978,1 +31769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.475515903,1 +31770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.175201926,1 +31766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.914649198,1 +31771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.948775295,1 +31772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.240758429,1 +31773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.351874291,1 +31774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.30229886,1 +31776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.079213909,1 +31777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.97884804,1 +31778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.165209029,1 +31775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.267726299,1 +31779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.323663467,1 +31781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,8.40830102,1 +31782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.714062434,1 +31780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,8.896033832,1 +31784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.042281351,1 +31783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.808573021,1 +31785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.1439841,1 +31786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.412211853,1 +31788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.854054676,1 +31790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.470107099,1 +31787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.899209488,1 +31789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.131286473,1 +31791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.995954694,1 +31792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.747574484,1 +31793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.7378603,1 +31794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.026281314,1 +31797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.088470849,1 +31795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.379661821,1 +31796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.410480853,1 +31798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.245026415,1 +31800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.839329051,1 +31801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.330863616,1 +31799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.782721628,1 +31802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.669491919,1 +31804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.706761361,1 +31805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.9351395,1 +31803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.01481553,1 +31807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.827289238,1 +31808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.329667641,1 +31809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.053956407,1 +31806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.349043262,1 +31812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.671157587,1 +31811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.064792508,1 +31810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.584314039,1 +31813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.633317911,1 +31814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.295748073,1 +31815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.250318604,1 +31816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.633862373,1 +31817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.910596677,1 +31819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.518060678,1 +31820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.566094834,1 +31821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.176827854,1 +31818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.936674475,1 +31822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.841047991,1 +31823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.92389115,1 +31825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.348054043,1 +31827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.342014053,1 +31824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.199548,1 +31826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.675176272,1 +31828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.612974335,1 +31831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.495183621,1 +31829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.365010071,1 +31830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.028896176,1 +31832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.12301963,1 +31834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.3677127,1 +31833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.07940998,1 +31835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.179650617,1 +31837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.93661255,1 +31838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.956312791,1 +31836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.070408173,1 +31839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.270449296,1 +31842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.318018315,1 +31843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.351028638,1 +31841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.637159143,1 +31840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.566556527,1 +31844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.847745275,1 +31845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.211101431,1 +31846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.795538793,1 +31847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,1.649356788,1 +31848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.260682275,1 +31850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.50692299,1 +31851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.596113888,1 +31849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.126731744,1 +31852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.121298612,1 +31853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.590105721,1 +31854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.504906185,1 +31855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.741459597,1 +31856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.824702265,1 +31857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.474159302,1 +31859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.056435792,1 +31858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.563225377,1 +31860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.495741241,1 +31861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.628094024,1 +31863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.804494967,1 +31864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.273929091,1 +31865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.230764445,1 +31866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.88716329,1 +31862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.06710115,1 +31867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.50010898,1 +31868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.686691534,1 +31869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.772841264,1 +31872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.381927573,1 +31870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.300676339,1 +31873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.250236991,1 +31871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.135518519,1 +31875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.834668651,1 +31876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.921299916,1 +31874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.868202595,1 +31877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.402459438,1 +31880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.537490881,1 +31879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.392195613,1 +31878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.389229873,1 +31881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.552459962,1 +31882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.913379101,1 +31883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.739437003,1 +31885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.455007378,1 +31886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.49172967,1 +31887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.858103745,1 +31888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.239983305,1 +31884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.407250052,1 +31890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.338673904,1 +31889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.525799957,1 +31891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.251705389,1 +31892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.841613593,1 +31895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.647868746,1 +31893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.914943363,1 +31894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.726917674,1 +31896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.399851558,1 +31899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.30461575,1 +31898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.508491273,1 +31897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.012175488,1 +31903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.894135768,1 +31901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.718137619,1 +31902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.978180857,1 +31900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.133781869,1 +31905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.100904043,1 +31904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.062311174,1 +31906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.152846448,1 +31907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.724123419,1 +31908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.154504677,1 +31909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.146554956,1 +31910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.651528347,1 +31911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.994382967,1 +31912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.24536887,1 +31913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.278585712,1 +31914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.741861553,1 +31915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.212979879,1 +31916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.510134544,1 +31917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.34372016,1 +31918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.255689689,1 +31920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.876020604,1 +31919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.276422574,1 +31921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.728524208,1 +31922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,1.555110591,1 +31923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.70793629,1 +31924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.027781283,1 +31926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.659018302,1 +31925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.297246089,1 +31927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.69646828,1 +31928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.940310758,1 +31929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.909612963,1 +31930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.092589441,1 +31931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.570932261,1 +31932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.975649066,1 +31933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.750041919,1 +31934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.380169354,1 +31938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.551448363,1 +31935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.999032632,1 +31937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.140518866,1 +31939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.624239696,1 +31941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.356310908,1 +31940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.503932704,1 +31936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.63009194,1 +31942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.020092837,1 +31943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.537775025,1 +31944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.58587069,1 +31945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.435102271,1 +31947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.084317333,1 +31946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.352604103,1 +31948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.564627139,1 +31949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.0658983,1 +31950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.216564954,1 +31951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.6164691,1 +31952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.899963012,1 +31953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.350785114,1 +31954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.043483726,1 +31955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.440325467,1 +31956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.249257087,1 +31958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.468565376,1 +31959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.943310479,1 +31960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.624536081,1 +31961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.793089407,1 +31962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.808015054,1 +31957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.405415779,1 +31963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.881880736,1 +31965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,8.226678567,1 +31964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.401923249,1 +31967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.707191826,1 +31966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.697261297,1 +31969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.566595047,1 +31968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.500452038,1 +31970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.268726776,1 +31971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.702408784,1 +31973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.620933839,1 +31972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.434698836,1 +31974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.656831228,1 +31976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.099354558,1 +31977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,1.963219825,1 +31975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.428539702,1 +31978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.299633264,1 +31979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.017568725,1 +31980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.060408215,1 +31982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.428823117,1 +31983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.558423195,1 +31981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.429258523,1 +31984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.538699449,1 +31985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.869105785,1 +31986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.173372662,1 +31988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.163123432,1 +31989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,2.058808094,1 +31987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.597862195,1 +31990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.650907992,1 +31991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,6.533083854,1 +31992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,7.227394245,1 +31993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.893093945,1 +31994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,5.094809535,1 +31995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.904556581,1 +31996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.171477183,1 +31997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.474003203,1 +31999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.162307026,1 +31998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,4.463082014,1 +32000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,2,1,3.328453663,1 +41001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.995336203,1 +41003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.885175662,1 +41004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.744102369,1 +41002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.694521897,1 +41006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.864254816,1 +41005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.872966887,1 +41007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.664989045,1 +41009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.244252516,1 +41010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.084275767,1 +41011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.194110948,1 +41008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.580904634,1 +41012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,7.111800523,1 +41013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.414118276,1 +41014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.301585406,1 +41015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.403199377,1 +41016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.48464267,1 +41018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.033738965,1 +41019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.723845219,1 +41017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.233319012,1 +41020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.608073971,1 +41022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,7.640426597,1 +41024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.538407574,1 +41023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.41087974,1 +41025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.044328703,1 +41021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.952943438,1 +41026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.593600373,1 +41027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.109161777,1 +41029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.746810425,1 +41028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.892916632,1 +41032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.371842761,1 +41030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.17952498,1 +41033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.840411012,1 +41035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.230243494,1 +41034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.942642178,1 +41031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.73246016,1 +41036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.191563203,1 +41037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.143017042,1 +41040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.532125169,1 +41039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.522516706,1 +41041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.878107912,1 +41038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.838312624,1 +41043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.158328445,1 +41045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.127684984,1 +41042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.177111969,1 +41044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.431621382,1 +41046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.796080929,1 +41047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.826166177,1 +41048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.698004874,1 +41049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.910961872,1 +41051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.635487371,1 +41052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.840954351,1 +41053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.870298796,1 +41056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.942610293,1 +41054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.557221598,1 +41055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.119839409,1 +41050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.705355228,1 +41057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.610913457,1 +41059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,7.07487899,1 +41060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.250743043,1 +41058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.135240138,1 +41061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.750593268,1 +41062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.336071438,1 +41063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.263837923,1 +41064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.579920609,1 +41066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.293154824,1 +41065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.1830581,1 +41067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.969790706,1 +41068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.677384416,1 +41069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.337356769,1 +41070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.165073626,1 +41072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.679223021,1 +41073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.84991886,1 +41074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.352396611,1 +41075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.448131189,1 +41071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.393153968,1 +41076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.937706459,1 +41077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.244338031,1 +41078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.327764087,1 +41079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.730925786,1 +41081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.853392982,1 +41080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.453127613,1 +41082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.69993724,1 +41083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.990522124,1 +41084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.553010241,1 +41085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.273453333,1 +41086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.475698018,1 +41088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.912911212,1 +41089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.893316673,1 +41087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.584136096,1 +41092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.638096507,1 +41090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.040426141,1 +41091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.006112037,1 +41093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.917942813,1 +41094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.435893939,1 +41095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.013463583,1 +41096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,7.823639279,1 +41097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.82782349,1 +41098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.487519191,1 +41099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.731011979,1 +41100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.616148486,1 +41102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.261672811,1 +41103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.77922233,1 +41101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.734877646,1 +41104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.33963709,1 +41105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.854502558,1 +41106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.53374116,1 +41107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.942041229,1 +41108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.396594974,1 +41110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.595971646,1 +41111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.073662422,1 +41113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.72081783,1 +41112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.175627302,1 +41109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.255968858,1 +41114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.180486364,1 +41115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.04650355,1 +41117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.842792071,1 +41118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.553014324,1 +41119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.873317248,1 +41116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.936115179,1 +41120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.272300783,1 +41121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.103378448,1 +41122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.023252993,1 +41123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.379751955,1 +41124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.77679317,1 +41127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.574698718,1 +41125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.593710863,1 +41128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.879384183,1 +41126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.419367329,1 +41129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.883292748,1 +41131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.628622282,1 +41130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.475501083,1 +41134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.314542765,1 +41132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.388997726,1 +41133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.130336541,1 +41135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.309613163,1 +41136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.849144284,1 +41137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.787390866,1 +41138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.494570953,1 +41139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.934450335,1 +41141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.103840086,1 +41140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.566184645,1 +41142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.880334775,1 +41143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.728977492,1 +41144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.475775749,1 +41145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.320176787,1 +41146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.055118531,1 +41148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.850958246,1 +41149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.020972963,1 +41147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.118470657,1 +41150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.625007556,1 +41151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.021090599,1 +41152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.269486305,1 +41153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.651369525,1 +41154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.168208239,1 +41155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.91656797,1 +41156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.811478347,1 +41157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.568301467,1 +41158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.589189776,1 +41159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.583338755,1 +41160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.296746378,1 +41161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.185589986,1 +41162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.001412073,1 +41163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.657652277,1 +41164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.681238592,1 +41167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.725113675,1 +41166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,1.104035165,1 +41165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.157233475,1 +41168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.510523519,1 +41171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.732182559,1 +41169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.87714374,1 +41172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.224055076,1 +41173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.53514365,1 +41174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.982586977,1 +41175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.649171761,1 +41176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.830957074,1 +41177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.131728619,1 +41170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.174381022,1 +41178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.350899468,1 +41180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.898856964,1 +41181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.614713978,1 +41179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.624571054,1 +41182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.072501818,1 +41184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,7.05071308,1 +41183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.506394206,1 +41185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.175861962,1 +41186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.85925745,1 +41187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.670348192,1 +41188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,7.325352753,1 +41190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.039135587,1 +41189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.070113789,1 +41192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.066682987,1 +41193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.302154317,1 +41194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,7.905687212,1 +41195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.27639147,1 +41197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.980059005,1 +41191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.971251906,1 +41198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.909766105,1 +41196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.173517645,1 +41199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.226813514,1 +41200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.209369195,1 +41201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,7.207975438,1 +41202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.068473897,1 +41203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.149369504,1 +41204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.131899028,1 +41205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.115852855,1 +41206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.993316889,1 +41207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.81134444,1 +41208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.767670653,1 +41209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.834581038,1 +41210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.918359645,1 +41211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.264217169,1 +41213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.164806124,1 +41214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.749473726,1 +41215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.181925942,1 +41212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.129279282,1 +41216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.925822091,1 +41217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,7.561514076,1 +41218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.650906711,1 +41219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.564208431,1 +41220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,7.25091828,1 +41221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.793466935,1 +41222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.092423897,1 +41223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.454823395,1 +41224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.237178776,1 +41225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.367325573,1 +41226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.4248435,1 +41229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.116228622,1 +41227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,7.253419574,1 +41228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.174868319,1 +41230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.661357766,1 +41231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.189219991,1 +41234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.759366741,1 +41232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.319595703,1 +41233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.431905708,1 +41235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.559595636,1 +41236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.201912,1 +41238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.72589524,1 +41239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.758181675,1 +41240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.935374441,1 +41237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.74202079,1 +41241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.038751998,1 +41242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.717980716,1 +41245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.914446717,1 +41244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.540113214,1 +41243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.511642058,1 +41246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.86758322,1 +41249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.882538383,1 +41248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.118531042,1 +41250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.255707604,1 +41247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.605291804,1 +41251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.466479946,1 +41253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.845570719,1 +41254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,8.557377484,1 +41255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,7.575950076,1 +41256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,7.122739977,1 +41252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.299139759,1 +41257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.152192133,1 +41258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.322207084,1 +41261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,8.352611191,1 +41259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.109546022,1 +41260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.150881933,1 +41262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.970328623,1 +41264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.380498929,1 +41266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.342959696,1 +41265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.051237435,1 +41263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.381886843,1 +41267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.484478131,1 +41268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.301975436,1 +41269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.996777515,1 +41271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.136027488,1 +41272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.635872125,1 +41270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.203916935,1 +41274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.903876275,1 +41276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.233208468,1 +41273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.758105209,1 +41275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.953838436,1 +41278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.770693011,1 +41277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.693517054,1 +41279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.477281571,1 +41280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.532158407,1 +41281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.41726715,1 +41282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.164757932,1 +41283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.064770252,1 +41284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.44511541,1 +41285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.7010309,1 +41287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.225565234,1 +41288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.929624872,1 +41289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.056274122,1 +41286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.230680755,1 +41293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.22415598,1 +41291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.27511766,1 +41290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.709985089,1 +41292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.449431208,1 +41294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.210903479,1 +41296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.228826927,1 +41295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.108983736,1 +41297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.194112148,1 +41298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.930648118,1 +41299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.056696564,1 +41300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.727875309,1 +41301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.454833725,1 +41303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.262145308,1 +41304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.57803157,1 +41305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.507213176,1 +41302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.507537626,1 +41308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.450888007,1 +41309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.290840473,1 +41307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.885696912,1 +41306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,8.486728534,1 +41310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.131218741,1 +41311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.024722962,1 +41312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.044289174,1 +41313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.652046404,1 +41314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.568125815,1 +41315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.987377619,1 +41316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.053655231,1 +41317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.572789443,1 +41318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.68156251,1 +41320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.178990768,1 +41322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.825954585,1 +41319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.233471305,1 +41323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.522764692,1 +41321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.765771236,1 +41324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.91417029,1 +41325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.332807279,1 +41327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.099992975,1 +41326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.199454103,1 +41328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.043635548,1 +41329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.999286195,1 +41330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.203159681,1 +41332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.456910891,1 +41331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.856608223,1 +41333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.077263271,1 +41334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.097840945,1 +41335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.694535771,1 +41336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.988100762,1 +41337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.066992418,1 +41339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.345857451,1 +41338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.525549101,1 +41341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,8.556599657,1 +41342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.911721782,1 +41343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.294378969,1 +41340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.888039142,1 +41344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.895114286,1 +41346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.409286469,1 +41345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.519856373,1 +41349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.449456619,1 +41350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.053239139,1 +41348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.844027638,1 +41347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.06131381,1 +41351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.208166549,1 +41352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,7.806897264,1 +41353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.809451314,1 +41354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.06815473,1 +41356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.004142835,1 +41355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.135417387,1 +41357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,7.22965773,1 +41358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.91448473,1 +41359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.541187683,1 +41360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.00586904,1 +41361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.569055636,1 +41363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.676988142,1 +41364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.743975595,1 +41365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.466027711,1 +41366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.955252677,1 +41367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.289834486,1 +41362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.048754546,1 +41368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.122271595,1 +41371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.223812445,1 +41369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.032797018,1 +41370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.659998031,1 +41372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.113430755,1 +41374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.144252325,1 +41375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.84907934,1 +41373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.767664271,1 +41376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.66886379,1 +41377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.756575577,1 +41378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.358736151,1 +41379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.33954024,1 +41381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.500758504,1 +41380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.971475525,1 +41382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.168197302,1 +41384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.951891094,1 +41385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.721254949,1 +41386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.03112929,1 +41383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.663090874,1 +41388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.816283003,1 +41387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,8.988646621,1 +41389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.018912254,1 +41390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.369370925,1 +41391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.555789918,1 +41392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.198975105,1 +41393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.153412966,1 +41394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.839277176,1 +41395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,1.965803304,1 +41396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.107531921,1 +41397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.822075383,1 +41398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.340972304,1 +41399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.207487859,1 +41400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.257546449,1 +41401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.51317044,1 +41403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.916823379,1 +41402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.627439987,1 +41404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.97970535,1 +41405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.383276987,1 +41406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.620996557,1 +41407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.049475597,1 +41408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.924901833,1 +41409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,7.447615497,1 +41410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.060056318,1 +41412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.277208516,1 +41411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.525784525,1 +41413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,7.14154917,1 +41414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.955808241,1 +41416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.890520269,1 +41415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.44734296,1 +41418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.133745118,1 +41417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.579334969,1 +41419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.506263682,1 +41421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.748120804,1 +41422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.755767831,1 +41423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.805874574,1 +41424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.915560038,1 +41425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.62881897,1 +41426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.258802235,1 +41420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.887450509,1 +41427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.204610951,1 +41428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.748878297,1 +41429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.966360187,1 +41432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.210470574,1 +41431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.3840127,1 +41430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.14660486,1 +41434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.073327079,1 +41435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.432156335,1 +41436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.454829898,1 +41433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.239517694,1 +41437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.053694762,1 +41438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.508624994,1 +41440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.039889109,1 +41439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.802899405,1 +41441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.295088877,1 +41442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.929618206,1 +41443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.217949805,1 +41445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.724763533,1 +41447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.129719026,1 +41446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.747465519,1 +41444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.273664175,1 +41448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,7.147191075,1 +41450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.601494486,1 +41449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.808994194,1 +41451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.562690025,1 +41452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.483945092,1 +41453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.026771787,1 +41454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.166796771,1 +41456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.570781602,1 +41457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.016976029,1 +41455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,8.778035808,1 +41459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.478443581,1 +41458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.864375603,1 +41460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.930713752,1 +41461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.337572437,1 +41462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,1.683774095,1 +41463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.15356479,1 +41465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.562152792,1 +41466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.259098746,1 +41464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.398488509,1 +41467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.451955897,1 +41469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.728642983,1 +41468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.111132247,1 +41471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.687808893,1 +41470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.738481167,1 +41472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.773393631,1 +41474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.917019273,1 +41473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.596178622,1 +41475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.203414721,1 +41476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,8.294113779,1 +41478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.434616004,1 +41479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.99029589,1 +41477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.2094092,1 +41480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.943112104,1 +41481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.876992948,1 +41483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.368856585,1 +41484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.023994271,1 +41482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.015339803,1 +41485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.298646858,1 +41486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.365536809,1 +41487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.300971264,1 +41488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.033443889,1 +41490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.053887164,1 +41491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.351060148,1 +41492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.684348463,1 +41489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.051257329,1 +41493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.637692051,1 +41494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.363340998,1 +41496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.628024069,1 +41495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.961694459,1 +41497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.582834423,1 +41498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.336150618,1 +41499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.546977748,1 +41501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.541286308,1 +41502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.195158609,1 +41503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.250351136,1 +41500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,7.837873765,1 +41504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.122905074,1 +41505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.789033406,1 +41507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.738197609,1 +41506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.020453072,1 +41509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.091118856,1 +41508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.638421607,1 +41510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.548123729,1 +41512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.397094189,1 +41511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.82251548,1 +41513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.620093588,1 +41515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.457163695,1 +41516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.578928984,1 +41517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.207503308,1 +41514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.305005714,1 +41519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.155549706,1 +41518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.509625954,1 +41520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.504236117,1 +41522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,7.164331919,1 +41521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.429817056,1 +41524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.795844384,1 +41523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.559693079,1 +41525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.839179531,1 +41528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.234901741,1 +41527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,8.128838842,1 +41526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.661859594,1 +41529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.883311754,1 +41530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.690511847,1 +41531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.834303011,1 +41532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.830554387,1 +41533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.938486178,1 +41534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.366507261,1 +41535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.482943444,1 +41537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.8980136,1 +41538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.672574961,1 +41536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.557164164,1 +41539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,7.015180298,1 +41540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.39404558,1 +41543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.45392231,1 +41541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.388294657,1 +41542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.034843612,1 +41546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.032232126,1 +41544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.157769782,1 +41545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.656015758,1 +41547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.23075324,1 +41549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.01941292,1 +41550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.126744095,1 +41548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.757479627,1 +41551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.001984816,1 +41552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.57162488,1 +41553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.894613662,1 +41554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.69178682,1 +41558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.664887476,1 +41557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.479220947,1 +41556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.78039939,1 +41555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.951607451,1 +41559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.720250455,1 +41560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.828537294,1 +41561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.590466424,1 +41563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.424023112,1 +41564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.348415397,1 +41562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.576863344,1 +41567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.96269194,1 +41566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,1.026878,1 +41565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.010446723,1 +41568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.518717863,1 +41571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.967592975,1 +41570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.520898884,1 +41569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.239273758,1 +41572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.533291217,1 +41573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,7.30974844,1 +41575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.307412573,1 +41576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.351566292,1 +41574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.504077354,1 +41579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.237074758,1 +41577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.536800562,1 +41578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.849079109,1 +41581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.877560796,1 +41582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.397730358,1 +41583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.07398661,1 +41580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.647554242,1 +41585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.891553905,1 +41584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.30061077,1 +41587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.273500129,1 +41586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.709806396,1 +41588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.921593051,1 +41589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.900046966,1 +41590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.640333442,1 +41591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.3155022,1 +41592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.365329202,1 +41594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.959086542,1 +41593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.052294173,1 +41595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.379353037,1 +41596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.100805828,1 +41598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.443190894,1 +41600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.663877535,1 +41599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.938242292,1 +41597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.736951338,1 +41601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.324170351,1 +41602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.430028852,1 +41604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.058282843,1 +41605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.096115646,1 +41606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.901488939,1 +41603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.195004947,1 +41607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.333403004,1 +41608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.07687482,1 +41609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.0342145,1 +41611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.481602272,1 +41612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.949372799,1 +41613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.184124404,1 +41610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.845011377,1 +41615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.279524324,1 +41616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.851131713,1 +41614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.391672882,1 +41617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.217003608,1 +41619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.098275935,1 +41618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.829292837,1 +41620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.16137973,1 +41621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.50502159,1 +41622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.226659088,1 +41623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.110611446,1 +41624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.651061338,1 +41626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.956553293,1 +41627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.88816555,1 +41628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.599958631,1 +41629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.959846232,1 +41630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.838052359,1 +41625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.493530178,1 +41631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.987631042,1 +41633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.47916396,1 +41632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,1.306845644,1 +41634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.247734803,1 +41635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.672922953,1 +41636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.217787537,1 +41637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.959732018,1 +41638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.274664947,1 +41639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.887543242,1 +41640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.77788054,1 +41641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.611773683,1 +41642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.770963727,1 +41643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.589695284,1 +41645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.946853718,1 +41644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.602326092,1 +41647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.116763159,1 +41649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.072098642,1 +41648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.005200087,1 +41650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.478955992,1 +41646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.037391621,1 +41651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.687214588,1 +41652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.788415501,1 +41653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.350699973,1 +41654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.893643361,1 +41655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.782530286,1 +41657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.568525608,1 +41656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.990615501,1 +41658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.309897366,1 +41659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.59629325,1 +41660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.08747304,1 +41661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.112649427,1 +41662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.517428348,1 +41663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.476015577,1 +41664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.194392154,1 +41667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.84831386,1 +41666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.706807941,1 +41668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.737328174,1 +41665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.545850721,1 +41669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.322100269,1 +41671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.095749616,1 +41670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.099881593,1 +41673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.963314426,1 +41672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.796942415,1 +41675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.136702398,1 +41674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.3359143,1 +41676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.586691254,1 +41678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.635931899,1 +41677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.438057004,1 +41679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.948795207,1 +41682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.810420008,1 +41680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.153585237,1 +41683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.163469771,1 +41681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.987684256,1 +41684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.481135995,1 +41686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.854630751,1 +41685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.69824389,1 +41687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.164733605,1 +41690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.83958005,1 +41689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.966985034,1 +41691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.604478677,1 +41692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.492049037,1 +41693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,1.518115146,1 +41688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.32671452,1 +41695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.02874857,1 +41694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.179826804,1 +41697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.72972008,1 +41696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.503374282,1 +41698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.112946517,1 +41699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.494148745,1 +41700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.582898943,1 +41701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.561139106,1 +41702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.033987856,1 +41703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.308802798,1 +41704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.361569345,1 +41705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.764615051,1 +41706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.207941899,1 +41709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.809122848,1 +41707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,7.067365361,1 +41710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,7.463735851,1 +41708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.167835911,1 +41711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.40731554,1 +41713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.429896028,1 +41712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.41478685,1 +41714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.022116796,1 +41715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.041279341,1 +41718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,8.222776039,1 +41719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.064337848,1 +41717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.909959023,1 +41716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.699736487,1 +41720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.543209325,1 +41721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.626888857,1 +41722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.844041254,1 +41723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.208942963,1 +41725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.941025377,1 +41724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.798063737,1 +41726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.912099986,1 +41727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.217524268,1 +41728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,9.03815853,1 +41729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.693523982,1 +41730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.113870049,1 +41732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.263476452,1 +41733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.394545242,1 +41731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,7.283355631,1 +41734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,8.400586652,1 +41735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.49062948,1 +41736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.85005719,1 +41738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.960736692,1 +41740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.805749298,1 +41737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.875394402,1 +41739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.13594856,1 +41741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.986781518,1 +41743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.02627935,1 +41744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.714579294,1 +41742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.010049402,1 +41746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.414910861,1 +41747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.030187433,1 +41748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.350202768,1 +41749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.757337702,1 +41745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.61070662,1 +41750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.928412717,1 +41751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.444934997,1 +41753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.948703322,1 +41754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.414057503,1 +41755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.741693178,1 +41752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.004650636,1 +41756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.114448164,1 +41759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.247033837,1 +41758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.534268253,1 +41757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.467596523,1 +41760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.825483614,1 +41761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.128440452,1 +41762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.07633573,1 +41763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.851555842,1 +41765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.26582975,1 +41766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.467061116,1 +41767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.672855723,1 +41769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.918928357,1 +41764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.569785983,1 +41770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.007521362,1 +41768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.227300858,1 +41771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.350415114,1 +41772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.665485389,1 +41773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.67392222,1 +41774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.806848544,1 +41775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.570521923,1 +41776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.717243267,1 +41777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.138990761,1 +41778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.319152902,1 +41779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.720532874,1 +41781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.629719374,1 +41780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.490492141,1 +41782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.199852159,1 +41784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.777752047,1 +41783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,1.88803125,1 +41786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.119269491,1 +41788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.929313442,1 +41787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.760248034,1 +41789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.79774343,1 +41785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.302525142,1 +41790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.718010769,1 +41791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.862767666,1 +41792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.660306508,1 +41794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.938822949,1 +41795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.121312759,1 +41793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.815436351,1 +41796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.804289063,1 +41797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.636171669,1 +41798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.431868901,1 +41799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.840798403,1 +41800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.491476495,1 +41801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.877048007,1 +41802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.282445405,1 +41804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.71262201,1 +41805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.106439364,1 +41806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.107007437,1 +41807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.238510059,1 +41803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.277527598,1 +41808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.027582246,1 +41810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.890081147,1 +41811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.538970543,1 +41812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.974588745,1 +41809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.351591443,1 +41813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.12291936,1 +41815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.017443875,1 +41814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.651209666,1 +41816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,7.190544722,1 +41817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.226972177,1 +41819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.363803053,1 +41818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.413777529,1 +41820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.574505072,1 +41821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.789975701,1 +41823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.640746638,1 +41822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,7.137650492,1 +41825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.551270976,1 +41826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.666771655,1 +41824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.214785872,1 +41828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.800778587,1 +41827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.630409037,1 +41829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.248681404,1 +41830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.22506475,1 +41831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.769296153,1 +41834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.111688535,1 +41833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.610634211,1 +41832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.337292999,1 +41836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.74481571,1 +41835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.150925454,1 +41837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.497662609,1 +41838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.526583766,1 +41840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.895824516,1 +41841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.932996082,1 +41839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.887239126,1 +41842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,7.021465499,1 +41843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.167907023,1 +41844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.929580495,1 +41847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.029361769,1 +41846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.457124044,1 +41845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.233885684,1 +41848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.964520835,1 +41851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,7.067403022,1 +41849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.640380084,1 +41850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.49378049,1 +41852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.543010714,1 +41854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.823043974,1 +41853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.446061013,1 +41855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,8.180036682,1 +41856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.138672814,1 +41857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.637439732,1 +41858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.661280707,1 +41860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.673226422,1 +41861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.426746485,1 +41859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.00455803,1 +41863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.967687961,1 +41862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.379741734,1 +41864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.398908853,1 +41866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.592594869,1 +41865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.610604664,1 +41868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.040574944,1 +41867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.380818269,1 +41869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.24124336,1 +41870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,7.466582459,1 +41871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,7.680218829,1 +41872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.025781408,1 +41873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.804138779,1 +41874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.838193588,1 +41875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.235372666,1 +41876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,7.502207393,1 +41877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.861937649,1 +41879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.340758631,1 +41880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.475107434,1 +41878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.039929981,1 +41881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.991133784,1 +41882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.009583406,1 +41884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.623084775,1 +41885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.034548748,1 +41883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.859342306,1 +41886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.393413543,1 +41888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,7.992210208,1 +41887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.37100293,1 +41890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.137221409,1 +41889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.996425586,1 +41893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.846256942,1 +41894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.379134575,1 +41891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.224533403,1 +41892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.607877555,1 +41896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.975533337,1 +41897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.435061765,1 +41895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.374786468,1 +41898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.250472516,1 +41900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.631706411,1 +41901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.697953591,1 +41902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.709237542,1 +41904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,7.207195883,1 +41903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.617407377,1 +41905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.418753887,1 +41899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.426131858,1 +41906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.067727289,1 +41908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.529333295,1 +41909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.030514479,1 +41907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.438256328,1 +41910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.076779707,1 +41912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.631588121,1 +41913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.980762425,1 +41911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.72675269,1 +41914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.94134233,1 +41915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.856274128,1 +41916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.187576405,1 +41917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.257041163,1 +41918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.721777459,1 +41919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.771367284,1 +41921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.223557991,1 +41922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.71474706,1 +41923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.774283169,1 +41920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.664842354,1 +41925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.469398095,1 +41927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.283807389,1 +41924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,7.083064461,1 +41926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.024372163,1 +41928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.99723984,1 +41929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.748260992,1 +41931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.185653194,1 +41930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.489153611,1 +41932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,7.745886713,1 +41934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.906947373,1 +41933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.357195311,1 +41935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.711884432,1 +41936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.857831947,1 +41937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.885131718,1 +41939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.112375896,1 +41940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.116227774,1 +41938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.089660078,1 +41941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.82682505,1 +41943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.393185413,1 +41944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.850006845,1 +41945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.678730913,1 +41946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.910125542,1 +41942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.018163268,1 +41947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.40255908,1 +41948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.617869346,1 +41949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.160056798,1 +41950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.882066169,1 +41951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.421928597,1 +41952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.242224855,1 +41953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.328122702,1 +41954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.49034039,1 +41955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.851395445,1 +41956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.365500978,1 +41957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.754831857,1 +41958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.043178875,1 +41959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.601869098,1 +41960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.487573864,1 +41961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.592573532,1 +41963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.243763328,1 +41964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.790759928,1 +41965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.173466175,1 +41966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.392941433,1 +41967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.287528764,1 +41962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.069976146,1 +41968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.507391437,1 +41970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.190651073,1 +41969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.37149315,1 +41972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.075926771,1 +41971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.543399792,1 +41974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.000387805,1 +41973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.622667886,1 +41975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.024767142,1 +41978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.539879382,1 +41977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.543643568,1 +41976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.157434424,1 +41979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,7.090430157,1 +41980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.999128179,1 +41981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,1.86386383,1 +41983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.152517325,1 +41984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.179280492,1 +41985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.895672756,1 +41982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.330191591,1 +41986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.38306728,1 +41987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.64430862,1 +41988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.209050185,1 +41989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.523397247,1 +41990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.589993169,1 +41991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.867813013,1 +41992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,3.061688703,1 +41993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.74907519,1 +41994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.44206999,1 +41995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.918134541,1 +41996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.180691614,1 +41997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,2.505004369,1 +41998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,5.119817046,1 +41999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,6.189214172,1 +42000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,2,1,4.085078345,1 +51001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.546383203,1 +51002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.49986377,1 +51003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.639043059,1 +51004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.407480481,1 +51005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.615943311,1 +51006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.335175852,1 +51007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.095934755,1 +51008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.22417903,1 +51011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.475913629,1 +51009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.182539008,1 +51010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.706462504,1 +51014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.61522877,1 +51012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.968881025,1 +51015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.74968367,1 +51016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.10767364,1 +51013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.192285567,1 +51018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.926309934,1 +51017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.993236628,1 +51019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.094693059,1 +51021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.768653073,1 +51022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.939513195,1 +51020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.242813282,1 +51023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.207460896,1 +51025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.234522178,1 +51026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.890872262,1 +51024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.93036135,1 +51027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.438609022,1 +51029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.270348233,1 +51030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.488329517,1 +51031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.891758019,1 +51032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.444240053,1 +51033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.498644962,1 +51028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.663570307,1 +51034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.147873259,1 +51036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.976598372,1 +51037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,8.619751428,1 +51038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.619916482,1 +51035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.75272418,1 +51040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.769491815,1 +51039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.886035659,1 +51041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.747395593,1 +51042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.603259653,1 +51043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.457053917,1 +51044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.213976016,1 +51045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.100894575,1 +51046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.918807812,1 +51048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.831014768,1 +51049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.993019643,1 +51050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.696039215,1 +51047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.800060081,1 +51051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.004757842,1 +51052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.084944378,1 +51055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.734514885,1 +51056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.110465869,1 +51054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.371908343,1 +51053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.014127346,1 +51059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.125417996,1 +51060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.656204018,1 +51058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.82310449,1 +51057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.51453979,1 +51061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.327356429,1 +51063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.990920082,1 +51062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.036340639,1 +51064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.688692834,1 +51067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.016535318,1 +51066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.989098241,1 +51068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.098936561,1 +51069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.842234419,1 +51070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.872817231,1 +51071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.889301435,1 +51065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.406823763,1 +51075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.056159188,1 +51073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.163821842,1 +51074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.946828475,1 +51072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.304185377,1 +51076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.785429956,1 +51077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.261610855,1 +51079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.881443888,1 +51078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.845010685,1 +51081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.159721889,1 +51080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.361837062,1 +51083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.459469928,1 +51082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.550579584,1 +51084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.493818456,1 +51087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.625605187,1 +51086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.887659343,1 +51085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.904427934,1 +51088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.976497494,1 +51089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.953455733,1 +51092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.942915401,1 +51091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.50388444,1 +51090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.512330325,1 +51094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.509461265,1 +51095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.780347769,1 +51096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.58004553,1 +51093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.472257781,1 +51097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.384846977,1 +51098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.196430463,1 +51099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.067758717,1 +51100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.633779077,1 +51103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.245715207,1 +51101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.057928113,1 +51104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.048549526,1 +51102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.415633372,1 +51106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.194937848,1 +51105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.588594044,1 +51108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.643900557,1 +51109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.449081695,1 +51107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.595055856,1 +51111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.758443058,1 +51112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.416920194,1 +51110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.569778084,1 +51113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.305509986,1 +51114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.720037586,1 +51117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.855368451,1 +51115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.665099639,1 +51116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.760649065,1 +51118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.449397741,1 +51119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.430288383,1 +51120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.942720699,1 +51121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.940957684,1 +51122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.325012378,1 +51124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.227083968,1 +51123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.763901003,1 +51126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.513322434,1 +51127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.611119637,1 +51125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.279812736,1 +51128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.545890207,1 +51129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.483845652,1 +51130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.248809507,1 +51131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.900606745,1 +51132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.056534468,1 +51134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.668104798,1 +51133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.639025799,1 +51136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.403531238,1 +51135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.380831597,1 +51137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.622587504,1 +51138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.981574373,1 +51140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.301301788,1 +51141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.083945082,1 +51139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.854323887,1 +51142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.938492634,1 +51144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.460264814,1 +51143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.528301496,1 +51146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,9.012473725,1 +51145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.287634288,1 +51147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.639301663,1 +51150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.771451184,1 +51148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.54643604,1 +51149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.866802754,1 +51151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.690307314,1 +51152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.781293008,1 +51153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.180052121,1 +51154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.123352176,1 +51155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.463421873,1 +51156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.286191207,1 +51157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.665333192,1 +51158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.734555995,1 +51159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.164729975,1 +51162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.431901035,1 +51161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.408800422,1 +51160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.62065581,1 +51163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.649284954,1 +51164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.918011119,1 +51165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.571228983,1 +51166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.218981186,1 +51167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.147951212,1 +51168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.000532417,1 +51170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.521728385,1 +51169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.669390487,1 +51171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.984710433,1 +51173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.856857805,1 +51174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.793542741,1 +51172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.900760842,1 +51175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.206450756,1 +51177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.766166681,1 +51179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.080089517,1 +51176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.119670199,1 +51180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.39082454,1 +51181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,1.497796664,1 +51182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.462376625,1 +51178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.17539798,1 +51183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.817685135,1 +51184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.714528529,1 +51185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.872051595,1 +51187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.118560752,1 +51188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.349336613,1 +51186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.503894217,1 +51189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.931026461,1 +51190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.346719818,1 +51191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.681103654,1 +51192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.14560135,1 +51193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.480872852,1 +51194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.596356067,1 +51195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.821842132,1 +51196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.698066031,1 +51197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.619281689,1 +51198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.447484104,1 +51199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.560266087,1 +51201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.812772706,1 +51202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.934694661,1 +51203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.274016741,1 +51204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.188394981,1 +51200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.681467462,1 +51205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.40361591,1 +51206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.276303987,1 +51209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.901343384,1 +51208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.700265202,1 +51207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.444422092,1 +51210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.015093227,1 +51211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.538432792,1 +51212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.46439769,1 +51213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.46268092,1 +51214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.871916631,1 +51216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.705212232,1 +51215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.099280554,1 +51217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.664867913,1 +51218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.127664207,1 +51219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.107166402,1 +51220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.958651703,1 +51222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.643710934,1 +51221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.240552176,1 +51223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.972186028,1 +51226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.180107786,1 +51225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.230174511,1 +51224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.261246331,1 +51227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.485441631,1 +51229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.047145897,1 +51228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.525672794,1 +51230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.33254002,1 +51231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.689374197,1 +51232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.188514703,1 +51233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.688764812,1 +51235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.58141164,1 +51234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.568827023,1 +51236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.453444855,1 +51237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.678655125,1 +51240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.415068408,1 +51238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.094720413,1 +51241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.363649814,1 +51239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,8.484160572,1 +51242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.018718141,1 +51243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.781445006,1 +51244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.294231228,1 +51245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.124122305,1 +51247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.227478598,1 +51248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.129617829,1 +51246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.238240044,1 +51249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.191660795,1 +51250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.332262872,1 +51252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.366620346,1 +51251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.971685633,1 +51253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.25606521,1 +51255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.128551753,1 +51254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.518662327,1 +51256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.516797477,1 +51257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.703845142,1 +51258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.223097284,1 +51259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.180219358,1 +51260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.389696105,1 +51262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.820633435,1 +51261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.197084808,1 +51264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.727779817,1 +51265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.227777234,1 +51266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.44508185,1 +51267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.99587699,1 +51263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.028422174,1 +51268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.329060483,1 +51269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.991683953,1 +51271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.248033115,1 +51270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.936565208,1 +51272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.16262636,1 +51274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.635068307,1 +51275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.148162672,1 +51276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.91754615,1 +51273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.911289154,1 +51278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.732877167,1 +51279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.195467913,1 +51281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.572773747,1 +51277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.793798849,1 +51282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,1.911868099,1 +51280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.064011764,1 +51283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.512342634,1 +51284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.107407761,1 +51285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.087198998,1 +51286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.690614771,1 +51288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.70623374,1 +51289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.481887902,1 +51287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.0394482,1 +51291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.403374878,1 +51292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.782035597,1 +51290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.729999561,1 +51293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.906216448,1 +51295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.46108737,1 +51297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.404121287,1 +51294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.399580704,1 +51298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.257318178,1 +51299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.625447201,1 +51300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.726195959,1 +51296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.748440322,1 +51303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.032038005,1 +51301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.693155618,1 +51304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.81316958,1 +51302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.226071056,1 +51305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.102492972,1 +51306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.966485513,1 +51307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.230890871,1 +51308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.278157285,1 +51310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.474330302,1 +51311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.498367392,1 +51312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.496780371,1 +51313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.30826201,1 +51309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.098086488,1 +51315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.33868352,1 +51317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.582610714,1 +51316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.47571725,1 +51314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.304652252,1 +51318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.03403652,1 +51319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.548325015,1 +51320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.674715807,1 +51321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.176048852,1 +51323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.427778117,1 +51322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.991226479,1 +51324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.133077844,1 +51325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.084906004,1 +51327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.152285736,1 +51328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.76191002,1 +51326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.344906543,1 +51330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.92621728,1 +51332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.739267624,1 +51329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.519603956,1 +51331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.167388621,1 +51333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.604696561,1 +51334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.806277961,1 +51336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.376626221,1 +51335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.341348237,1 +51337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.212036189,1 +51338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.455299921,1 +51339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.124191562,1 +51340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.014099344,1 +51341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.866319921,1 +51343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.133764399,1 +51344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.522939006,1 +51345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.552113868,1 +51342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.329721254,1 +51348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.15056243,1 +51346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.127993396,1 +51349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.673379426,1 +51347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.390090115,1 +51351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.60576979,1 +51350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.3410537,1 +51352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.378396671,1 +51353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.200996872,1 +51354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.441960509,1 +51355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.484160711,1 +51356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.657172158,1 +51357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.105087901,1 +51358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.99362485,1 +51359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.316055185,1 +51360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.52855246,1 +51362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.932527649,1 +51364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.908266459,1 +51361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.381697983,1 +51363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.781408004,1 +51365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.165138249,1 +51367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.189181014,1 +51368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.874351307,1 +51366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.34765966,1 +51370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.590639588,1 +51369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.903124536,1 +51371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,1.723595951,1 +51374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.629006198,1 +51373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.808218439,1 +51375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.996644232,1 +51372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.952385887,1 +51376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.490320251,1 +51377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.28831336,1 +51379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.715372474,1 +51378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.737818584,1 +51381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.464388172,1 +51380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.532309415,1 +51382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.12327413,1 +51383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.25131837,1 +51384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.075328427,1 +51385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.931809064,1 +51387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.922972371,1 +51388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.988940615,1 +51389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.901370898,1 +51390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.07772163,1 +51386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.632544747,1 +51391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.19080889,1 +51392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.913235156,1 +51394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.949250765,1 +51395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.940789867,1 +51396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.36197444,1 +51393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.838978742,1 +51397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.454373795,1 +51399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.051971947,1 +51400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.805752902,1 +51398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.886125307,1 +51403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.14159383,1 +51401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.779160778,1 +51402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,8.390592301,1 +51404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,1.87674664,1 +51406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.817096855,1 +51407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.828797324,1 +51408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.517750152,1 +51411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.63616724,1 +51405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.395978188,1 +51410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.812339034,1 +51409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.515628496,1 +51412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.11994696,1 +51414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.151567904,1 +51413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.424907347,1 +51415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.032356935,1 +51416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.881562631,1 +51417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.383481463,1 +51419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.59908466,1 +51418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.424307511,1 +51420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.379956382,1 +51421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.322475534,1 +51422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.797785956,1 +51423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.144307129,1 +51426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.632977915,1 +51425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.301012438,1 +51424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.044108524,1 +51427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.643785101,1 +51429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,8.259842065,1 +51430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.864165469,1 +51428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.004659436,1 +51431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.123988215,1 +51433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.583843293,1 +51432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.279312396,1 +51434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.021031093,1 +51436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.939770698,1 +51435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.286449503,1 +51437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.650848365,1 +51438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.047466678,1 +51439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.176643251,1 +51442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.795480086,1 +51441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.535531535,1 +51440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.111705272,1 +51443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.856807814,1 +51445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.373956983,1 +51446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.717658952,1 +51447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.343428163,1 +51444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.983613242,1 +51448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.404088645,1 +51449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.443775677,1 +51450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,8.190888128,1 +51452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.338253582,1 +51451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.520855848,1 +51453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.013654041,1 +51454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,8.132361257,1 +51456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.13069257,1 +51455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.193881806,1 +51457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.059229971,1 +51458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.858645006,1 +51459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.676380376,1 +51460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.966208404,1 +51461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.868009651,1 +51462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.881188598,1 +51464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.886905117,1 +51465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.609288912,1 +51466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.477128653,1 +51467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.574683826,1 +51463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.798561702,1 +51468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.715524575,1 +51469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.145931567,1 +51471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.432388291,1 +51470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.707944885,1 +51472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.60074655,1 +51473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.985806111,1 +51474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.392374185,1 +51475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.770209827,1 +51476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.618208106,1 +51477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.928251857,1 +51478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.723631969,1 +51479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.964504411,1 +51480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.990453777,1 +51481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,8.636412833,1 +51483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.764774136,1 +51484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.2530314,1 +51485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.870378605,1 +51486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.439741741,1 +51482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.98429826,1 +51487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.036745299,1 +51488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.950424206,1 +51490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.838433063,1 +51489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.99369817,1 +51491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.473010316,1 +51493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.167612101,1 +51492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.365155567,1 +51494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.418746592,1 +51495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.062436183,1 +51496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.550554203,1 +51497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.478554224,1 +51498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.498941823,1 +51499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.043051885,1 +51502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.638873999,1 +51503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.948753033,1 +51501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.799014107,1 +51500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.835064394,1 +51505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.222625013,1 +51504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.970204144,1 +51507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.967102692,1 +51508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.72701507,1 +51509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.442144452,1 +51510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.330115282,1 +51506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.0469832,1 +51511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.610363459,1 +51512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.721787152,1 +51513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.05671144,1 +51514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.903960818,1 +51516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.219333527,1 +51515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.972852946,1 +51517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.539688029,1 +51518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.3483895,1 +51519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.511616746,1 +51522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.855107954,1 +51521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.649099205,1 +51523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.882835026,1 +51520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.976309338,1 +51524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.501902333,1 +51526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.718203989,1 +51527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.748053005,1 +51528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.625607049,1 +51529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.042759857,1 +51530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.325670177,1 +51531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.527130237,1 +51525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.367503125,1 +51533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.758095508,1 +51532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.144595959,1 +51535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.090886824,1 +51534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.373875694,1 +51537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.474636508,1 +51538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.042295622,1 +51539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.648430224,1 +51536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.783640144,1 +51540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.181397558,1 +51542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.996848559,1 +51543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.043021069,1 +51544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.842445727,1 +51541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.850074464,1 +51545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.359139489,1 +51546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.007905069,1 +51547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.81084913,1 +51548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.213101172,1 +51549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.191858904,1 +51550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.952597132,1 +51551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.833594107,1 +51554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.894471977,1 +51552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.474274427,1 +51553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.536440784,1 +51555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.70793925,1 +51558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.382852003,1 +51557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.542792171,1 +51559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.063971518,1 +51560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.184587268,1 +51562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.158081221,1 +51556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.299698596,1 +51561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.434637207,1 +51565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.559101212,1 +51563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.020587437,1 +51564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.546463531,1 +51566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.688180928,1 +51567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.58468051,1 +51568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.63840353,1 +51569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.54708263,1 +51570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.559088473,1 +51571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.452591303,1 +51572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.989245484,1 +51573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.397936667,1 +51574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.786207909,1 +51575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.360737593,1 +51577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.642172355,1 +51576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.635338647,1 +51579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.458460798,1 +51578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.720807031,1 +51580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.63581905,1 +51581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.715671974,1 +51582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.498824067,1 +51583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.297067352,1 +51585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.793813411,1 +51584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.245317214,1 +51586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.105499815,1 +51589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.991182957,1 +51588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.174207524,1 +51587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.190912396,1 +51590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.004905323,1 +51591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.09490535,1 +51593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.271881868,1 +51594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.709821489,1 +51595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.713253017,1 +51592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.898616518,1 +51596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.909611392,1 +51597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.793891056,1 +51598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.728427831,1 +51599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.089810919,1 +51601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.495969879,1 +51602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.629911151,1 +51603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.585939727,1 +51600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.182952205,1 +51604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.883744651,1 +51606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.667922896,1 +51605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.088944173,1 +51608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.415623103,1 +51607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.709074985,1 +51610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.04192544,1 +51609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.229275208,1 +51612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.792493808,1 +51611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.119324871,1 +51614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.575707377,1 +51613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.620178792,1 +51616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.574198395,1 +51618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.482290402,1 +51617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.466862916,1 +51619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.146455291,1 +51615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.696410848,1 +51620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.844917036,1 +51621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.901502986,1 +51622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.880785725,1 +51623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.090894972,1 +51624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.271968449,1 +51625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,1.666619476,1 +51626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.556580487,1 +51628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.018226202,1 +51627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.721019549,1 +51629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.369783798,1 +51630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.283296997,1 +51631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.709718951,1 +51632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.115785179,1 +51633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.101066709,1 +51634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.46281106,1 +51635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.808962149,1 +51637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.221952357,1 +51638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.443832707,1 +51639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.9975332,1 +51636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.286104745,1 +51640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.486947041,1 +51641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.012230767,1 +51642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.469795941,1 +51643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.015540727,1 +51644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.753196074,1 +51645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.411909109,1 +51646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.556001498,1 +51648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.322026336,1 +51647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.664360489,1 +51649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.50778458,1 +51651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.167619263,1 +51650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.479474597,1 +51652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.868996911,1 +51653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.527962828,1 +51654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.313471454,1 +51655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.939299435,1 +51657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.452112043,1 +51659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.671621357,1 +51656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.849342184,1 +51658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,1.688008383,1 +51660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.866547764,1 +51661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,8.241764951,1 +51663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.284772509,1 +51662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.243890838,1 +51664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.045193424,1 +51665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.53626857,1 +51666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.892448508,1 +51667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.683860982,1 +51668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.858718446,1 +51669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.674537883,1 +51670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.625345984,1 +51672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.591321671,1 +51674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.996493238,1 +51673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.336419378,1 +51671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.127186308,1 +51676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.793775868,1 +51675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.453217597,1 +51678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.409682851,1 +51677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.277660099,1 +51679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.554748034,1 +51681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.198452815,1 +51683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.04811615,1 +51682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.348778639,1 +51680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.08404953,1 +51684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.826227944,1 +51686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.901643274,1 +51687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.278505469,1 +51685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.428973521,1 +51690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.269361401,1 +51689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.666653891,1 +51691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.779287726,1 +51688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.008274718,1 +51693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.917546409,1 +51694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.073203142,1 +51695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.787838335,1 +51696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.478283819,1 +51697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.376362173,1 +51698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.992898253,1 +51692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.296412686,1 +51699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.324267067,1 +51703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.83409886,1 +51701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.712874054,1 +51700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.585768758,1 +51702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.246689648,1 +51706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.768996846,1 +51707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.648184992,1 +51705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.534595479,1 +51704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.702623248,1 +51708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.763883555,1 +51709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.083007368,1 +51710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.35641663,1 +51712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.560311701,1 +51711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.541731551,1 +51715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.49457618,1 +51713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.456181064,1 +51716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.696818724,1 +51714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.746213381,1 +51718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.921285329,1 +51719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.822239595,1 +51720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.25432366,1 +51717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.690276959,1 +51721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.966153311,1 +51722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.233559554,1 +51724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.179336062,1 +51725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.882609862,1 +51723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.557626134,1 +51727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.658985281,1 +51726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.382455534,1 +51728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.486296465,1 +51731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.990393278,1 +51730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.533706524,1 +51729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.175640048,1 +51733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.839212172,1 +51735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.440188974,1 +51734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.361407809,1 +51732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.881443933,1 +51738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.67723255,1 +51739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.353390885,1 +51737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.37733253,1 +51736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.03210045,1 +51741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,8.234691837,1 +51740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.527985965,1 +51743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.008715075,1 +51744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.982484818,1 +51745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.851805265,1 +51746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.206873912,1 +51748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.899817212,1 +51742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.187896526,1 +51747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.019030253,1 +51749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.930401615,1 +51750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.767588765,1 +51751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.153205013,1 +51752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.127867508,1 +51753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.790809172,1 +51754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.40515391,1 +51755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.073292681,1 +51756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.505572163,1 +51758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.192337057,1 +51759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.726459196,1 +51760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.618841405,1 +51761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.78375413,1 +51757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.665121119,1 +51763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.407322134,1 +51765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.778394973,1 +51764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.837837577,1 +51762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.597729025,1 +51766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.052028593,1 +51767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.688157933,1 +51768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.477175983,1 +51769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.687980132,1 +51770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.984092166,1 +51771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.744134962,1 +51773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.503798662,1 +51772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.377437588,1 +51774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.695653779,1 +51778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.604780016,1 +51776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.598199334,1 +51777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.733162705,1 +51775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.434174945,1 +51779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.54899474,1 +51782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.682550963,1 +51780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.290545047,1 +51783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.256912529,1 +51781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.080710221,1 +51784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.298234005,1 +51785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.037597756,1 +51786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.887403626,1 +51788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.197254395,1 +51787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.086271844,1 +51790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.94083881,1 +51789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.198041345,1 +51791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.751727687,1 +51792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.940451311,1 +51794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.043115268,1 +51793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.047951065,1 +51795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.993464282,1 +51796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.812194521,1 +51798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.622634709,1 +51797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.894080185,1 +51799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.258251081,1 +51800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.990853849,1 +51801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.4684078,1 +51802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.724403777,1 +51803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.423216617,1 +51805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.553379398,1 +51807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.183115363,1 +51806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.560082961,1 +51808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.402182813,1 +51804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.579679201,1 +51810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.570589831,1 +51809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.735490894,1 +51812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.497994361,1 +51811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.616714585,1 +51813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.778835972,1 +51814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.012909349,1 +51816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.989892645,1 +51815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.260315882,1 +51817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.96552726,1 +51818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.234034707,1 +51820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.122600689,1 +51819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.134376942,1 +51822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.32076353,1 +51824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.681637941,1 +51821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.897854124,1 +51823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.31217692,1 +51827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.863294445,1 +51826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.050320528,1 +51825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.644344669,1 +51828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.653212433,1 +51829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.530815489,1 +51830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.871633465,1 +51831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.810973639,1 +51832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.249569136,1 +51834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.391393652,1 +51833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.139442382,1 +51835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.192119865,1 +51836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.233909855,1 +51837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.33860252,1 +51838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.68820776,1 +51839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.188325036,1 +51841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.828100908,1 +51840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.123541249,1 +51843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.198678843,1 +51844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.75072572,1 +51845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.2986543,1 +51846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.030408522,1 +51847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.540538066,1 +51842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.337300044,1 +51848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.416116535,1 +51850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.37508094,1 +51849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.169809585,1 +51852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.273213025,1 +51853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.308561987,1 +51854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.377540735,1 +51851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.351235265,1 +51857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.439030064,1 +51855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.282608668,1 +51856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.762365085,1 +51858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.262565049,1 +51859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.608838169,1 +51860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.887113126,1 +51861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.044750386,1 +51862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.723819999,1 +51863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.320536545,1 +51864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.895506015,1 +51865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.622910248,1 +51868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.986752625,1 +51867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.574253351,1 +51869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.381995316,1 +51866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.18513658,1 +51872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.116457889,1 +51871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.779176812,1 +51870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.322980653,1 +51873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.383280101,1 +51874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.497563329,1 +51875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.240050693,1 +51876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.72824326,1 +51877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.227784643,1 +51878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.178204601,1 +51880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,8.159415038,1 +51879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.728797011,1 +51882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.513558674,1 +51883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.373263921,1 +51884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.125340507,1 +51881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.888365048,1 +51885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.729023004,1 +51886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.564100706,1 +51887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.9275631,1 +51888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.117994469,1 +51890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.385468657,1 +51891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.625752582,1 +51889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.489267976,1 +51893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.830364127,1 +51894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.624476632,1 +51895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.48332944,1 +51892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.949484852,1 +51896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.352083713,1 +51897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.553512543,1 +51898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.559847355,1 +51900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.304549615,1 +51899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.541797345,1 +51902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.870444218,1 +51901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.610328476,1 +51903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.225013162,1 +51905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.944877464,1 +51906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,1.616701902,1 +51907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.677705121,1 +51908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.614650561,1 +51909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.899113017,1 +51904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.549574221,1 +51910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.277526773,1 +51912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.216503511,1 +51911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.816314995,1 +51913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.571067585,1 +51914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.39493803,1 +51915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.322013766,1 +51916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.921152769,1 +51917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.882077952,1 +51918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.748386378,1 +51919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.281127715,1 +51920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.946088412,1 +51921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.064094938,1 +51922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.567655776,1 +51923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.801721804,1 +51926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.464745609,1 +51924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.229057087,1 +51927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.264972526,1 +51928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.243057286,1 +51929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.596095007,1 +51925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.625790848,1 +51930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.605378513,1 +51932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.759325772,1 +51931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.631408565,1 +51934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.831628967,1 +51933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.587893497,1 +51935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.278436284,1 +51936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.946506253,1 +51937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.432881682,1 +51938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.208751324,1 +51940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.435571856,1 +51941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.257346917,1 +51942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.615784817,1 +51939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.253953395,1 +51943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.381610808,1 +51944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,8.087914989,1 +51946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.545000792,1 +51947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.791358111,1 +51948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.814972963,1 +51945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.544037757,1 +51949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.404968432,1 +51950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.69447,1 +51951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.086051588,1 +51952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.746613497,1 +51953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.002838992,1 +51954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.8830334,1 +51955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.495271703,1 +51956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.289309098,1 +51958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.30867044,1 +51959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.29071334,1 +51957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.872144213,1 +51960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.079155205,1 +51961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.991232267,1 +51963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.722381222,1 +51962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.936865538,1 +51966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.012474864,1 +51967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.27717213,1 +51964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.212167684,1 +51965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.529701514,1 +51968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,8.400226412,1 +51969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.948913019,1 +51970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.265017276,1 +51971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.088110947,1 +51972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.971913269,1 +51973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.942396827,1 +51974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,7.413322905,1 +51975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.700682802,1 +51977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.542095557,1 +51979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.857847005,1 +51978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.274865607,1 +51976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.328012038,1 +51980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,3.94735724,1 +51983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.906928335,1 +51981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.821640997,1 +51982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.113787378,1 +51984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.301894232,1 +51985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.170876076,1 +51986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.145352949,1 +51987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.699956887,1 +51988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.491579663,1 +51989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.548139983,1 +51990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,6.218673255,1 +51992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.842180067,1 +51994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,2.645634913,1 +51991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.561607315,1 +51993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.010845162,1 +51996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.797186865,1 +51995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.1794024,1 +51998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.663744827,1 +51999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,4.4999511,1 +51997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.8260805,1 +52000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,2,1,5.421177444,1 +61003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.240918602,1 +61002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.892735553,1 +61001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.345502877,1 +61004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.552395511,1 +61007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.078773991,1 +61006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.130703784,1 +61005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.806398321,1 +61008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.744623878,1 +61010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.341047689,1 +61011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.684494254,1 +61009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.44102217,1 +61012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.855124344,1 +61013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.163618498,1 +61014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.747966636,1 +61016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.200870324,1 +61017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.101390137,1 +61018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.142181993,1 +61015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.21710828,1 +61020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.230568011,1 +61019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.668467241,1 +61022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.353499433,1 +61021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.958013646,1 +61024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.145596228,1 +61023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.576202895,1 +61026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.939929823,1 +61027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.399402924,1 +61028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.687690436,1 +61029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.431210514,1 +61030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.887663365,1 +61025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.186730847,1 +61031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.965656646,1 +61032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.755659392,1 +61033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.253501713,1 +61034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.615817996,1 +61035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.68071944,1 +61036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.590704383,1 +61040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.36069476,1 +61037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.776988151,1 +61038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.007766681,1 +61039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.005588582,1 +61042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.173207917,1 +61041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.129699555,1 +61043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.698995475,1 +61044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.800005819,1 +61045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.124846824,1 +61047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.719945953,1 +61048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.558390516,1 +61049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.304118817,1 +61050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.873310041,1 +61051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.618550863,1 +61046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.301921607,1 +61053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.288053143,1 +61052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.375947023,1 +61055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.332491512,1 +61054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.768314465,1 +61056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.292717525,1 +61057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.458835699,1 +61058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.096931095,1 +61059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.295176495,1 +61060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.613058031,1 +61061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.443944217,1 +61062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,8.188665915,1 +61063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.103609241,1 +61064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.211461471,1 +61065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.474699903,1 +61066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.389496294,1 +61068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.127098123,1 +61069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.67807448,1 +61067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.654628775,1 +61070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.868594645,1 +61071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.569296876,1 +61072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.232347198,1 +61073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.79201166,1 +61074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.204635609,1 +61075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.288501504,1 +61076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.685818122,1 +61078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.512827313,1 +61077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.646923774,1 +61079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.92224166,1 +61080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.451341893,1 +61081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.32875783,1 +61082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.852793553,1 +61083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.797801297,1 +61084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.298623871,1 +61085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.307419272,1 +61086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.689354414,1 +61088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.275696218,1 +61087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.482317588,1 +61089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.442165581,1 +61090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.796219742,1 +61091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.384531199,1 +61092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.081808684,1 +61093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.348407118,1 +61095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.701178256,1 +61094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.718421214,1 +61096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.690044635,1 +61097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.800052192,1 +61098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.799500166,1 +61099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.759335115,1 +61101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.65078728,1 +61100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.518803244,1 +61102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.40145985,1 +61104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.67049922,1 +61106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.824576012,1 +61105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.837673689,1 +61103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.823122579,1 +61107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.18735484,1 +61108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.736586406,1 +61109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.775934154,1 +61111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.616990034,1 +61112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.48741159,1 +61113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.945333919,1 +61110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.232363955,1 +61116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.919028516,1 +61114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.452268133,1 +61117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.118076055,1 +61115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.673495665,1 +61119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.117606105,1 +61120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.500891858,1 +61121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.252939239,1 +61122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.402848623,1 +61124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.696196403,1 +61118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.722884871,1 +61125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.755109928,1 +61126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.155904284,1 +61123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.172689217,1 +61127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.744780606,1 +61131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.925330861,1 +61130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.043744823,1 +61129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.803843218,1 +61128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.307934914,1 +61132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.518904074,1 +61133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.562198873,1 +61134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.639930074,1 +61136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.534110818,1 +61138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.412519433,1 +61137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.643017602,1 +61139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.02826444,1 +61135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.577236796,1 +61140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.77249066,1 +61142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.039238461,1 +61143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.177930204,1 +61141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.941094818,1 +61146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.472445037,1 +61144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.215706982,1 +61145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.30386815,1 +61147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.728529392,1 +61148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.290835724,1 +61149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.129384032,1 +61150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.259214879,1 +61151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.397520623,1 +61153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.524829008,1 +61154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.042299556,1 +61156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.846952541,1 +61152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.739663813,1 +61157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.01681089,1 +61155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.969304033,1 +61159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.735405665,1 +61158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.791594669,1 +61160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.409489604,1 +61161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.113932345,1 +61162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.973159214,1 +61163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.477279247,1 +61164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.160258065,1 +61166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.756159964,1 +61165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.257066591,1 +61167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.316850205,1 +61168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.503292209,1 +61170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.524367465,1 +61171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.714928724,1 +61172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.375533912,1 +61169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.070145123,1 +61174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,8.535154901,1 +61176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.976767213,1 +61173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.039613667,1 +61175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.523031921,1 +61177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.877478715,1 +61178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.751577592,1 +61180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.512093417,1 +61179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.665126943,1 +61182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.4759494,1 +61181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.587970429,1 +61183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.85867954,1 +61184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.878709132,1 +61186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.480473272,1 +61187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.497065687,1 +61185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.124945814,1 +61188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.727668377,1 +61189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.929087906,1 +61190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.551307277,1 +61191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.061615568,1 +61193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.232524149,1 +61192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.334195644,1 +61194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.422177638,1 +61195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.936805677,1 +61196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.437091067,1 +61197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.12259865,1 +61198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.464042675,1 +61199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.663893299,1 +61200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.365348972,1 +61201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,8.140663078,1 +61202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.155227675,1 +61204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.27876821,1 +61203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.49982529,1 +61206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.247994755,1 +61207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.456427411,1 +61208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.669058241,1 +61209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.093679273,1 +61210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.317056273,1 +61211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.028618527,1 +61212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.92574119,1 +61205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.05521456,1 +61213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.123327889,1 +61214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.211366737,1 +61215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.966684723,1 +61216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.290124062,1 +61217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.146904277,1 +61218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.773687978,1 +61219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.189818564,1 +61220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.616235416,1 +61221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.841744533,1 +61222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.159328993,1 +61224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.527180948,1 +61223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.515125872,1 +61225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.084505055,1 +61226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.623992997,1 +61228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.009722972,1 +61229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.899958038,1 +61230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.916082662,1 +61231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.36717919,1 +61232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.052596091,1 +61233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.232024318,1 +61234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.940533785,1 +61227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.324542272,1 +61235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.482062339,1 +61238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.235075876,1 +61236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.79733946,1 +61237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.501665094,1 +61239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.130157978,1 +61241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.711602681,1 +61240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.941224485,1 +61242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.077909395,1 +61243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.614162923,1 +61244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.327007937,1 +61245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.938690704,1 +61246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.679964648,1 +61247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.736315587,1 +61248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.005983631,1 +61250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.204204016,1 +61252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.054655411,1 +61249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.003793916,1 +61251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.350685088,1 +61253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.939455999,1 +61254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.964707746,1 +61256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.248450455,1 +61255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.52764371,1 +61257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.240351889,1 +61258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.81247217,1 +61259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.872416243,1 +61260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.814659302,1 +61261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,8.84947303,1 +61262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.754768825,1 +61263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.580479478,1 +61265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.169828954,1 +61264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.207595171,1 +61266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.603794193,1 +61267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.190219967,1 +61268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.669443446,1 +61269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.611130857,1 +61270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.62465285,1 +61271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.909037707,1 +61272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.709889654,1 +61274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.747945004,1 +61273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.695457209,1 +61275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.244235025,1 +61276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.662097436,1 +61278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.66665995,1 +61277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.913657076,1 +61279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.453306951,1 +61280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.382206652,1 +61281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.409152808,1 +61282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.200365649,1 +61284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.330765059,1 +61285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.230387569,1 +61283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.416745019,1 +61288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.680819067,1 +61287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.529910247,1 +61289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.694013653,1 +61290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.494567494,1 +61291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.742407696,1 +61292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.756872889,1 +61286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.458298341,1 +61293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.300066755,1 +61294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.481324213,1 +61295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.550416674,1 +61296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.708845993,1 +61297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.392176149,1 +61299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.107001822,1 +61298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.851834407,1 +61301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.389065507,1 +61300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.455829999,1 +61302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.750549371,1 +61303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.378035178,1 +61305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.701320628,1 +61304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.281286828,1 +61306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.436282595,1 +61307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.755087832,1 +61308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.394209154,1 +61311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.967174729,1 +61310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.605408962,1 +61312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.253561357,1 +61309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,8.858558175,1 +61313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.257377484,1 +61314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.283287771,1 +61316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.008002356,1 +61315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.508987683,1 +61317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.879636707,1 +61318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.086611024,1 +61320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.723649141,1 +61319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.168860921,1 +61321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.734212197,1 +61322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.637388945,1 +61323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.336535712,1 +61324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.80517562,1 +61325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.494779928,1 +61326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,1.927953672,1 +61327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.036430204,1 +61329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.101945822,1 +61330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.875813282,1 +61331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.417894046,1 +61328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.380783775,1 +61332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.17157088,1 +61333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.285267429,1 +61334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.925231834,1 +61335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.846374344,1 +61336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.012836696,1 +61337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.328774046,1 +61338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.681906359,1 +61339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.007825061,1 +61340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.769421115,1 +61342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.925227592,1 +61341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.3709979,1 +61344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.87863351,1 +61343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.529265495,1 +61345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.245228203,1 +61347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.352494298,1 +61349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.871767045,1 +61348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.221712767,1 +61350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.758278847,1 +61346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.734602988,1 +61351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.055089377,1 +61352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.147088034,1 +61353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.989821344,1 +61355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.943047215,1 +61356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.587751818,1 +61357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.023146787,1 +61354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.603323095,1 +61358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.730040182,1 +61361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.074786912,1 +61359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.874073388,1 +61360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.131531265,1 +61363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.142957615,1 +61362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.510509393,1 +61365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.931930796,1 +61364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.071769591,1 +61367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.485095571,1 +61368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.281470289,1 +61369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.758949051,1 +61366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.606819078,1 +61370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.947119363,1 +61371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.368320307,1 +61372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.725201014,1 +61373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.850184851,1 +61374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.865837017,1 +61375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,1.848461859,1 +61377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.036252174,1 +61376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.297335731,1 +61378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.176927036,1 +61379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.377070311,1 +61380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.325800971,1 +61381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.101181726,1 +61382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.476196895,1 +61383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,8.705449633,1 +61384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.131417759,1 +61386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.738366988,1 +61385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.121090578,1 +61387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.884792376,1 +61389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.112170236,1 +61390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.236006949,1 +61391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.867896493,1 +61388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.45496821,1 +61392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.777065548,1 +61395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.750280326,1 +61394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.773292379,1 +61396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.114290254,1 +61393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.247385573,1 +61397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.428251178,1 +61398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.692428546,1 +61399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.299026987,1 +61401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.12060402,1 +61402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.76016255,1 +61403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.930812474,1 +61400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.677902197,1 +61405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.260004571,1 +61406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.789166985,1 +61407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.999081717,1 +61404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.048012945,1 +61408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.838801256,1 +61409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.755597223,1 +61410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.481475219,1 +61411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.41210829,1 +61412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.581392498,1 +61413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.188364385,1 +61415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.069359294,1 +61416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.188903907,1 +61417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.897741932,1 +61418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.350339906,1 +61419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.172382698,1 +61414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.236618625,1 +61420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.354709913,1 +61421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.712263774,1 +61423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.441856215,1 +61422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.801117005,1 +61424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.230604225,1 +61425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.154411546,1 +61427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.772747087,1 +61426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.959171964,1 +61428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.296397001,1 +61429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.54854931,1 +61431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.859454968,1 +61430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.571896211,1 +61432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.058573218,1 +61433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.484749681,1 +61435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.282156685,1 +61436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.086805549,1 +61437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.032026836,1 +61434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.654244616,1 +61438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.126104243,1 +61439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.368813201,1 +61440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.746351357,1 +61441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.337683835,1 +61442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.22118188,1 +61443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.359764323,1 +61444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.500241189,1 +61446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.317687683,1 +61447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.835814287,1 +61445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.570248263,1 +61448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.27237143,1 +61450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.275712823,1 +61449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.437187649,1 +61451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.097394258,1 +61452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.452532842,1 +61454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.489723872,1 +61453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.201329873,1 +61456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.256095345,1 +61455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.632142513,1 +61457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.03793574,1 +61458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.418192524,1 +61459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.987559002,1 +61461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.140669303,1 +61460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.677634114,1 +61462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.78887976,1 +61463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.581630553,1 +61464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.592546864,1 +61466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.010083646,1 +61465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.779620638,1 +61467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.21515785,1 +61468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.991686772,1 +61469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.36379143,1 +61471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.326328748,1 +61472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.407984484,1 +61473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.115387282,1 +61470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.48894621,1 +61474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.012032227,1 +61475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.587500682,1 +61476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.323480325,1 +61478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.117525727,1 +61479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.067698666,1 +61480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.76430413,1 +61481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.920818041,1 +61477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.375776635,1 +61482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.428139362,1 +61483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.42368601,1 +61484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.989918544,1 +61485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.747582394,1 +61486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.723183716,1 +61487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.977514374,1 +61488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.14341072,1 +61489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.804614687,1 +61490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.875585961,1 +61492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.219989863,1 +61491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,9.275449357,1 +61494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.880958081,1 +61496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.661960284,1 +61495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.198425502,1 +61493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.407516403,1 +61497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.542042061,1 +61499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.712200108,1 +61498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.731260159,1 +61500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.074258012,1 +61501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.168349783,1 +61503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.512061235,1 +61502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.047113272,1 +61504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.942933999,1 +61505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.744294158,1 +61506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.178193411,1 +61507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.332396814,1 +61508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.110261041,1 +61509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.506894085,1 +61510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.527424051,1 +61511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.866430392,1 +61513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.604441891,1 +61512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.305763548,1 +61514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.112551709,1 +61515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,8.367247735,1 +61517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.335745238,1 +61516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.064687631,1 +61518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.343651704,1 +61519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.533071833,1 +61520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.210932506,1 +61521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.437588841,1 +61522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.883299782,1 +61523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.973837385,1 +61525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.157496015,1 +61524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.705134289,1 +61526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,1.988320971,1 +61527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.37981531,1 +61528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.04274129,1 +61530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.359411387,1 +61531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.701600039,1 +61529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.340983495,1 +61533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.917296989,1 +61534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.251793436,1 +61532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.595765071,1 +61535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.247882649,1 +61536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.054350848,1 +61537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.123678642,1 +61539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.064621931,1 +61540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.921859157,1 +61541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.296469126,1 +61538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.492337092,1 +61542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.45199476,1 +61545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.760690099,1 +61543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.17810137,1 +61544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.268165156,1 +61546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.727420962,1 +61547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.288319568,1 +61548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.454975589,1 +61549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.154765847,1 +61550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.345929386,1 +61552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.034673772,1 +61553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.874846406,1 +61555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.279008205,1 +61554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.075755015,1 +61556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.529822992,1 +61551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.886135961,1 +61557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.662088199,1 +61558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.396797842,1 +61560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.830032111,1 +61559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.317620144,1 +61563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.296142446,1 +61561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.625167051,1 +61562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.695443727,1 +61564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.078842563,1 +61565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.262790227,1 +61566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.702433229,1 +61567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.243903928,1 +61568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.567296207,1 +61570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.939805962,1 +61571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.251359332,1 +61572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.244299144,1 +61573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.591263299,1 +61569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.330296359,1 +61574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.621303833,1 +61577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.559935332,1 +61575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.208040903,1 +61576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,8.262530097,1 +61578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.57131395,1 +61579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.890068525,1 +61580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.082830211,1 +61581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.691000081,1 +61583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.105671159,1 +61582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.887176036,1 +61584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.560700255,1 +61585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.576772842,1 +61586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.013474117,1 +61588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.337149407,1 +61587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.243108942,1 +61589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.549259686,1 +61591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.388811436,1 +61593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.907315614,1 +61590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.961975543,1 +61594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.918255864,1 +61595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.017034808,1 +61592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.927686408,1 +61596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.462162825,1 +61597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.177881646,1 +61598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.70412904,1 +61600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.597775733,1 +61601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.161366295,1 +61603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.751899759,1 +61602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.743678933,1 +61599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.013351378,1 +61604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.738184998,1 +61605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.421207178,1 +61607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.901679855,1 +61606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.021839905,1 +61609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.430571344,1 +61608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.744338029,1 +61610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.947765626,1 +61612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,1.539420843,1 +61611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.662486608,1 +61613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.934091718,1 +61615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.340634021,1 +61616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.284848911,1 +61617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.360608148,1 +61614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.466822098,1 +61619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.018284467,1 +61618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.386413049,1 +61620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.65421676,1 +61621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.922028656,1 +61622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.141196907,1 +61623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.073439351,1 +61624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.197836616,1 +61627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.683029672,1 +61626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.563635219,1 +61625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.632408868,1 +61628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.172016119,1 +61629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.420050581,1 +61630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.318503476,1 +61631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.817524507,1 +61632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.000180089,1 +61633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.12828523,1 +61634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.334314209,1 +61636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.780674962,1 +61637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.244766892,1 +61638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.481627635,1 +61635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.495753964,1 +61639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.107018354,1 +61640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.826928333,1 +61641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.385609606,1 +61643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.654018824,1 +61642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.343943715,1 +61644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.237432973,1 +61645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.653873868,1 +61646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.904572462,1 +61647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.580655036,1 +61648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.849042229,1 +61649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.068972688,1 +61650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.16103027,1 +61651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.409355174,1 +61652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.696497375,1 +61653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.306767183,1 +61654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.259595267,1 +61656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.673292039,1 +61657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.891780115,1 +61658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.504433589,1 +61655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.733807844,1 +61659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.496227338,1 +61660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.67472024,1 +61661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.155174343,1 +61662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.900751766,1 +61663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.301041382,1 +61664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.178577222,1 +61665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.378355943,1 +61667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.493944561,1 +61666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.434352905,1 +61668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.709917676,1 +61669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.575509352,1 +61671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.038685518,1 +61670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.148951876,1 +61673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.23420752,1 +61672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.147739507,1 +61675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.630804861,1 +61676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.229983164,1 +61677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.475052165,1 +61674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.800970218,1 +61678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.565281169,1 +61679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.059118539,1 +61680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.012864629,1 +61682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.956001363,1 +61681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.172286695,1 +61683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.662862851,1 +61684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.67843061,1 +61686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.629543658,1 +61685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.21565702,1 +61687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.466833056,1 +61688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.907010795,1 +61689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.658285371,1 +61690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.741302343,1 +61691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,1.981227252,1 +61692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.733321831,1 +61694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.507019919,1 +61695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.074905818,1 +61696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.745965557,1 +61697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.125804373,1 +61693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.539936832,1 +61698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.307696102,1 +61699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.241690777,1 +61701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.196517851,1 +61700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.86008304,1 +61702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.273171686,1 +61703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.853447964,1 +61704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.874084714,1 +61706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.316536,1 +61705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.305992001,1 +61707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.828013842,1 +61708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.463448803,1 +61709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.623837551,1 +61710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.884988038,1 +61711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.455534231,1 +61712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.271361706,1 +61713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.236236057,1 +61714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.882994908,1 +61716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.416985808,1 +61715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.598280057,1 +61717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.284351439,1 +61718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.009855808,1 +61719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.071964939,1 +61720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.619103229,1 +61721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.371924157,1 +61722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.767410469,1 +61723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.262988702,1 +61724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.066287075,1 +61725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.700124437,1 +61726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.500881747,1 +61727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.768961581,1 +61728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.679138912,1 +61730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.071580478,1 +61731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.501709605,1 +61729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.380691721,1 +61732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.561959349,1 +61733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.844346067,1 +61734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.618806676,1 +61736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.964480771,1 +61735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.012456126,1 +61737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.792188477,1 +61738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.865465285,1 +61739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.358713304,1 +61741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.953779805,1 +61742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.140292692,1 +61740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.840695243,1 +61743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.822472775,1 +61745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.843694391,1 +61746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.209006729,1 +61744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.228459934,1 +61747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.512299614,1 +61748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.718135327,1 +61750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.273500228,1 +61751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.784780085,1 +61752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.386571902,1 +61753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.519800694,1 +61749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.066746106,1 +61754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.89961335,1 +61755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.886693082,1 +61756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.590204458,1 +61758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.200001485,1 +61760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.266834403,1 +61757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.590231031,1 +61759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.88652622,1 +61761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.660995044,1 +61762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.555917032,1 +61763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.978727086,1 +61764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.578815994,1 +61765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.403679996,1 +61766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.10596295,1 +61767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.986309837,1 +61768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.833867008,1 +61769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.689130575,1 +61770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.082646203,1 +61772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.209151122,1 +61773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.235160521,1 +61774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.14617671,1 +61775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.997073611,1 +61771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.025889172,1 +61776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.87124543,1 +61779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.064387837,1 +61777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.16621265,1 +61778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.198633217,1 +61780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.528371328,1 +61783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.229844528,1 +61782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.519340489,1 +61781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.276465235,1 +61784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.934201525,1 +61786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.756364285,1 +61785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.757428826,1 +61787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.912219138,1 +61788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.652013193,1 +61790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.476550139,1 +61789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.576347526,1 +61792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.028757238,1 +61794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.083016617,1 +61793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.299100724,1 +61791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.522941074,1 +61795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.058492266,1 +61797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.442104236,1 +61796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.403858592,1 +61798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.084199331,1 +61799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.568272215,1 +61800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.242369095,1 +61801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.2810626,1 +61802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.43354211,1 +61803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.202517629,1 +61804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.182772828,1 +61805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.963444983,1 +61807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.627984911,1 +61808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.58984847,1 +61809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.191651288,1 +61806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.988459383,1 +61811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.375168059,1 +61812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.061670569,1 +61810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.706310148,1 +61813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.087064275,1 +61815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.46160401,1 +61814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.542957099,1 +61817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.257641573,1 +61816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.886797423,1 +61819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.279283765,1 +61818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.762186018,1 +61820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.995373139,1 +61821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.115418033,1 +61822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.520568724,1 +61823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.908715266,1 +61825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.391022098,1 +61824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.909824491,1 +61826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.629231048,1 +61827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.590856799,1 +61829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.953027405,1 +61830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.924896637,1 +61831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.535476382,1 +61828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.776719842,1 +61832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.77346672,1 +61833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.902586426,1 +61834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.793395487,1 +61835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.942253177,1 +61836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.627114164,1 +61839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.339370507,1 +61837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.965165486,1 +61838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.258002876,1 +61840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.918953491,1 +61841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.813811461,1 +61843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.515258464,1 +61842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.479070605,1 +61844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.200800671,1 +61845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.352195664,1 +61846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.080835578,1 +61847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.235982811,1 +61848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.094309977,1 +61850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.747885326,1 +61851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.249755132,1 +61849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.895493819,1 +61852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.246929239,1 +61853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.542688068,1 +61854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.583207183,1 +61855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.785173061,1 +61856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.214459287,1 +61857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.890918293,1 +61858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.39966697,1 +61859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.167009067,1 +61860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.542357026,1 +61861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.601194564,1 +61862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.852490389,1 +61865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.466718828,1 +61863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.06408048,1 +61866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.339047173,1 +61864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.258480211,1 +61868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.089035542,1 +61869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.176527332,1 +61870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.064188356,1 +61867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.999378978,1 +61872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.307842557,1 +61871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.367875768,1 +61874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.888919718,1 +61873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.816689316,1 +61876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.156068075,1 +61875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.544453116,1 +61877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.503285202,1 +61880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.80461221,1 +61878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.779646125,1 +61879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.712178177,1 +61881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.206415035,1 +61882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.699433627,1 +61883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,1.70984359,1 +61885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,1.982350209,1 +61884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.210068837,1 +61886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.228677412,1 +61888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.718076373,1 +61889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.249114007,1 +61890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.589840744,1 +61887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.505991741,1 +61891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.254105298,1 +61892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.729604133,1 +61893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.01473229,1 +61895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.894626143,1 +61896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.193629139,1 +61897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.449829121,1 +61894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.614226135,1 +61899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.040492565,1 +61898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.851719513,1 +61900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.748924393,1 +61901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.727595015,1 +61902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.895774051,1 +61903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.060461945,1 +61904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.07626416,1 +61905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.975540337,1 +61906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.114868438,1 +61907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.34155723,1 +61908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.173701271,1 +61910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.394941744,1 +61911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.30377747,1 +61912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.352408246,1 +61909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,7.336799538,1 +61914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.916936655,1 +61913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.73491053,1 +61915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.036395365,1 +61916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.812016373,1 +61918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.827225535,1 +61917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.917646579,1 +61919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.295136983,1 +61921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.69992584,1 +61920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.967157695,1 +61922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.805217262,1 +61923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.878174035,1 +61924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.960180415,1 +61925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.153989415,1 +61926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.291492321,1 +61927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.962456457,1 +61928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.819275023,1 +61930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.446390216,1 +61931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.521007918,1 +61929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.524632979,1 +61933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.84487589,1 +61932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.399816844,1 +61934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.678326683,1 +61936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.856389525,1 +61937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.368582317,1 +61935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.401668998,1 +61938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.985074152,1 +61939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,2.612869071,1 +61940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.110400742,1 +61941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.350805352,1 +61942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.602165789,1 +61943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.555223881,1 +61944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.446334557,1 +61945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.707377944,1 +61946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.509325174,1 +61947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.769490118,1 +61948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.665416531,1 +61950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.175155765,1 +61949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.512032723,1 +61951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.786133922,1 +61952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.041551791,1 +61953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.775758927,1 +61955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.74822304,1 +61954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.796161696,1 +61956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.311455648,1 +61957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.306467518,1 +61958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.37200136,1 +61959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.193083625,1 +61960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.65928583,1 +61961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.501562553,1 +61962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.259994431,1 +61965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.826644585,1 +61966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.536437275,1 +61964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.5536324,1 +61967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.320443238,1 +61968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.707160296,1 +61963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.768288452,1 +61970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.6118997,1 +61971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.036228109,1 +61972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.426108889,1 +61969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.171354847,1 +61975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.554226878,1 +61976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.075838006,1 +61973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.129268075,1 +61974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.483207354,1 +61977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.942848057,1 +61978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.588955296,1 +61979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.975521775,1 +61980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.689766548,1 +61984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.413665518,1 +61983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.884063405,1 +61981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.96666786,1 +61982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.255397564,1 +61985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.473154105,1 +61986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.90191688,1 +61987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.125967761,1 +61988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.513163367,1 +61990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.882318916,1 +61991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.389294426,1 +61989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.187435153,1 +61992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.391985757,1 +61993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.744345478,1 +61995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.390731251,1 +61994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,3.331952869,1 +61996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,6.816592637,1 +61997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.281141326,1 +61998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.036803726,1 +62000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,4.881034658,1 +61999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,2,1,5.337859382,1 +71001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.391697022,1 +71002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.103867579,1 +71003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.129094018,1 +71004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.732564743,1 +71005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.220534842,1 +71006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.081786946,1 +71007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.779516875,1 +71008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.450894959,1 +71009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.565560886,1 +71010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.221850101,1 +71012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.363772256,1 +71013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.757860144,1 +71014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.588799907,1 +71015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.008080523,1 +71011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.034192639,1 +71016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.762915383,1 +71017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.34539262,1 +71018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.313460671,1 +71020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.563098749,1 +71021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.420253069,1 +71019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.544295772,1 +71022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.754267488,1 +71024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.954500139,1 +71023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.331827579,1 +71025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.381897849,1 +71026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.581653449,1 +71027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.743592577,1 +71028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.511375434,1 +71030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.943336947,1 +71029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.351705441,1 +71032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.166236037,1 +71031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.736753581,1 +71034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.403924554,1 +71033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.882231906,1 +71035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.532370284,1 +71036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.863428177,1 +71038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.690629619,1 +71037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.147900627,1 +71039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.495720925,1 +71040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.735362347,1 +71041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.943850394,1 +71042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.56010471,1 +71043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.425939134,1 +71044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.242347656,1 +71045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.257196915,1 +71047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.314610419,1 +71046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.515749369,1 +71049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.703706122,1 +71048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.074901525,1 +71051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.701530526,1 +71052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.2688908,1 +71053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.01494629,1 +71054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.360666421,1 +71055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.773550373,1 +71056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.373047259,1 +71050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.7259066,1 +71057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.14520164,1 +71059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.976312796,1 +71058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.581210876,1 +71062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.149976815,1 +71060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.697902199,1 +71061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.260240635,1 +71063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.109837061,1 +71065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.544543827,1 +71064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.557664562,1 +71066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.591555021,1 +71068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.977401528,1 +71067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.321019163,1 +71069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.512727362,1 +71070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.982355942,1 +71072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.942863649,1 +71073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.861012237,1 +71075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.715829311,1 +71076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.209686047,1 +71074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.361473929,1 +71071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.84098589,1 +71077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.012519168,1 +71078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.11104531,1 +71079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.89085528,1 +71080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.486842805,1 +71081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.826620361,1 +71082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.530984761,1 +71083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.357286231,1 +71084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.386361692,1 +71085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.85054279,1 +71086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.617427962,1 +71088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.762195723,1 +71087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.461714061,1 +71089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,8.460486946,1 +71090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.82528605,1 +71092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.000864911,1 +71094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.037683666,1 +71093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.362626899,1 +71091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.849430504,1 +71096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.326559655,1 +71097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.273434261,1 +71095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.784168441,1 +71098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.337419829,1 +71099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.731715885,1 +71101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.200483148,1 +71100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.937590804,1 +71102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.87047379,1 +71103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.315666125,1 +71105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.673089428,1 +71106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.692979277,1 +71104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.698588285,1 +71107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.51961904,1 +71108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.345796924,1 +71109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.959582181,1 +71111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.020210082,1 +71112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.582640232,1 +71113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.81044911,1 +71110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,8.520946041,1 +71114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.027323383,1 +71115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.652674686,1 +71116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.034521785,1 +71119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.232483906,1 +71118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.625459469,1 +71120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.396154633,1 +71121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.850826193,1 +71117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.894822331,1 +71123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.554946703,1 +71122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.020272312,1 +71125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.816287237,1 +71124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.06151701,1 +71126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.024526575,1 +71127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.10762263,1 +71128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.647046872,1 +71129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.339153806,1 +71130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.069057644,1 +71131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.191351165,1 +71133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.467198005,1 +71134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.387189265,1 +71135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.158011444,1 +71132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.846901475,1 +71136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.305109664,1 +71137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.692035928,1 +71138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.624319937,1 +71141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.715150679,1 +71140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.531553518,1 +71139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.35904067,1 +71142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.488537663,1 +71144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.861254967,1 +71143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.695468754,1 +71145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.964429496,1 +71146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.552736336,1 +71147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.763192735,1 +71148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.085092252,1 +71149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.054187737,1 +71150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.790802785,1 +71151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.435935039,1 +71152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.286870012,1 +71154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.087626898,1 +71156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.639479783,1 +71155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.010596149,1 +71153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.032677477,1 +71157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.751289334,1 +71158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.388248034,1 +71159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.230048167,1 +71160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.778660611,1 +71161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.085995299,1 +71162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.875436629,1 +71163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.817784024,1 +71165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.539067071,1 +71164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.99104333,1 +71166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.589245976,1 +71167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.751483311,1 +71168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,1.598200766,1 +71169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.650528484,1 +71170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.685543475,1 +71171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.231927817,1 +71175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.621006973,1 +71174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.075826933,1 +71173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.155720892,1 +71172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.124256548,1 +71177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.225366741,1 +71176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.916081557,1 +71178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.899325363,1 +71180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.647466488,1 +71181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.374919581,1 +71182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.124338022,1 +71183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.075236871,1 +71184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.330157131,1 +71179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.388764166,1 +71185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.742302827,1 +71186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.648147759,1 +71188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.181783564,1 +71187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.337427993,1 +71191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.905045566,1 +71190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.627035144,1 +71192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.200598342,1 +71193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.846833545,1 +71189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.407087692,1 +71195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.319279466,1 +71196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.475162407,1 +71194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.204719251,1 +71198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.33666365,1 +71197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.244103429,1 +71200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.950669501,1 +71202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.163239987,1 +71199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.372225978,1 +71201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.738360717,1 +71203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.677677963,1 +71205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.095611198,1 +71206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.808023426,1 +71207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.460638152,1 +71208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.679675583,1 +71209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.026839313,1 +71204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.68736236,1 +71210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.589107926,1 +71211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.653362083,1 +71212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.91821007,1 +71213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.476175524,1 +71215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.908625718,1 +71216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.757134863,1 +71217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.040318136,1 +71214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.785978458,1 +71218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.280942128,1 +71219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.66103031,1 +71220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.819328649,1 +71221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.224506148,1 +71222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.669985673,1 +71223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.614938615,1 +71225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.451546622,1 +71226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.323485736,1 +71227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.831015419,1 +71228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.086703237,1 +71229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.78605483,1 +71224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.163031578,1 +71230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.588994157,1 +71231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.147155675,1 +71233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.465385914,1 +71232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.021936929,1 +71234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.998136735,1 +71235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.043124473,1 +71236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.896993763,1 +71238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.69283118,1 +71237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.04695466,1 +71239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.446616278,1 +71241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.25767566,1 +71240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.131315386,1 +71242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.338234471,1 +71243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.166882655,1 +71246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.288816986,1 +71244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.010762836,1 +71247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.42239361,1 +71248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.430187888,1 +71249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.374698142,1 +71245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.345904578,1 +71250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.205741413,1 +71251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.920145339,1 +71252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.289125543,1 +71253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.367175712,1 +71255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.039339614,1 +71254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.156751285,1 +71256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.506076999,1 +71257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.855813809,1 +71258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.889323574,1 +71259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.194982466,1 +71260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.12717046,1 +71261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.811381611,1 +71262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.738222074,1 +71263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.276055627,1 +71264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,8.288801805,1 +71266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.791467707,1 +71267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.332334296,1 +71268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.286687577,1 +71269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.568873481,1 +71265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.310701451,1 +71270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.230643349,1 +71271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.858690619,1 +71272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.017625744,1 +71274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.901019434,1 +71275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.15392725,1 +71273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.723929912,1 +71276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.586944545,1 +71278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.27812091,1 +71277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.873269609,1 +71279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.931873297,1 +71280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.733871579,1 +71281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.143551455,1 +71282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.235077791,1 +71283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.39048422,1 +71284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.654841292,1 +71285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.270515176,1 +71286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.287337565,1 +71288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.334718708,1 +71290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.330194545,1 +71289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.171410118,1 +71291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.133206776,1 +71293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.279027295,1 +71292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.18795169,1 +71287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.966400709,1 +71294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.290625432,1 +71295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.60535933,1 +71297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.788091976,1 +71296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.196532393,1 +71298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.990459837,1 +71299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.029201421,1 +71300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.17849135,1 +71301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.265249418,1 +71302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.401155032,1 +71303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.722837499,1 +71304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.7635618,1 +71305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.312669173,1 +71306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.232350951,1 +71307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.529369216,1 +71309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.342778033,1 +71310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.060173323,1 +71311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.376988803,1 +71308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.608541311,1 +71312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.750813475,1 +71314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.486017068,1 +71315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.227969747,1 +71316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.212197003,1 +71313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.974757552,1 +71317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.537502112,1 +71318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.391243895,1 +71319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.088681298,1 +71321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.188605059,1 +71322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.076174996,1 +71323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.515401544,1 +71320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.103881317,1 +71324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.318168191,1 +71325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.548040968,1 +71327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.115054704,1 +71328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.001473075,1 +71326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.531890418,1 +71329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.793767171,1 +71330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.973007951,1 +71331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.267611459,1 +71332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.535734106,1 +71333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.342255996,1 +71335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.952349098,1 +71336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.492560711,1 +71337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.817814826,1 +71338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.721503497,1 +71339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.974561102,1 +71334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.108943934,1 +71340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.379332255,1 +71343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.197878071,1 +71341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.112634651,1 +71342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.706475827,1 +71344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,8.040673774,1 +71345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.073331287,1 +71346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.113646447,1 +71347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.172037006,1 +71348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.243460257,1 +71349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.521910478,1 +71350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.996914584,1 +71351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.303876007,1 +71352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.790890178,1 +71354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.097716868,1 +71355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.569441119,1 +71356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.67419961,1 +71353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.089845822,1 +71357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.744426796,1 +71358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.996209305,1 +71359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.180029483,1 +71360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.648104933,1 +71361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.754709622,1 +71363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,8.367830123,1 +71362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.28954932,1 +71365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.463681002,1 +71364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.139195422,1 +71367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.721144234,1 +71366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.309135791,1 +71368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.175241656,1 +71369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.451882757,1 +71370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.062163484,1 +71372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.35734766,1 +71373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.955647337,1 +71374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.817749859,1 +71371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.436309029,1 +71375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.107966696,1 +71376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,8.226673517,1 +71377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.163895472,1 +71379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.145875822,1 +71380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.414463311,1 +71378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.847250936,1 +71381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.000422215,1 +71382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.713131958,1 +71383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.735357,1 +71385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.89948365,1 +71384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.398965474,1 +71387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.44604199,1 +71386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.489659197,1 +71388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,8.030388811,1 +71389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.954602246,1 +71391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.83386213,1 +71390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.610707539,1 +71392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.249521609,1 +71394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.929192296,1 +71395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.930585518,1 +71396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.952605019,1 +71393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.571650832,1 +71397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.76931413,1 +71398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.831220547,1 +71399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.069000306,1 +71402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.722593147,1 +71401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.428165988,1 +71400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.028994508,1 +71403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.635801431,1 +71405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.490342395,1 +71406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.574409065,1 +71407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.064433436,1 +71404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.625938692,1 +71408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.139942028,1 +71409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.835268328,1 +71410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.746673462,1 +71412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,1.820337618,1 +71411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.169344485,1 +71414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.175816536,1 +71415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.613559503,1 +71416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.554318269,1 +71413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.61202588,1 +71419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.353840456,1 +71417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.991363696,1 +71418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.18256033,1 +71420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.906851836,1 +71421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.015876355,1 +71422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,1.955947867,1 +71423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.387643868,1 +71424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.182422144,1 +71426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.562331491,1 +71427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.921290736,1 +71428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.972421344,1 +71429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.748624113,1 +71425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.854160127,1 +71430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.96189216,1 +71432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.560173618,1 +71433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.282848655,1 +71431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.361593482,1 +71434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.259886864,1 +71435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.053186949,1 +71436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.433081307,1 +71437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.66739297,1 +71438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.052027393,1 +71439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.140430387,1 +71440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.963667558,1 +71441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.905100285,1 +71442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.559421751,1 +71444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.064271239,1 +71443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.626899725,1 +71445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.773090523,1 +71446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.48419166,1 +71447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.674240009,1 +71448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.928230616,1 +71449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.447851913,1 +71452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.285746754,1 +71451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.824591594,1 +71450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.001348128,1 +71453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.209972657,1 +71454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.528295714,1 +71456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.00549835,1 +71455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.156868106,1 +71457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.003310996,1 +71459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.15666458,1 +71460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.428345267,1 +71461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.180082539,1 +71458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.511843037,1 +71463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.987446493,1 +71464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.329001694,1 +71465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.804103086,1 +71462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.758552454,1 +71466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.551209229,1 +71468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.552847615,1 +71467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.879571351,1 +71469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.833384264,1 +71470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.439640099,1 +71471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.346018757,1 +71472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.727745748,1 +71473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.578383157,1 +71474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.647248345,1 +71476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.596267811,1 +71477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.248837867,1 +71478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.24438513,1 +71475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.390310398,1 +71482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.472322387,1 +71481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.350729361,1 +71479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.351878691,1 +71483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.438532421,1 +71484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.699917722,1 +71485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.108701339,1 +71486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.391425929,1 +71487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.864374895,1 +71488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.438482731,1 +71480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.722215725,1 +71489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.419220517,1 +71490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.382095518,1 +71491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.507549342,1 +71495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.880738161,1 +71492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.811420242,1 +71493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.130790917,1 +71494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.25862022,1 +71497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.413195508,1 +71496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.820133741,1 +71499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.355384632,1 +71498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.961880764,1 +71500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.592545455,1 +71501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.471716665,1 +71502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.482421743,1 +71503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.700568892,1 +71505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.885299323,1 +71506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.379252244,1 +71507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.988514987,1 +71508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.003341576,1 +71509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.677053392,1 +71510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.001865664,1 +71504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.65759512,1 +71511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.079360336,1 +71512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.783504984,1 +71513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.928857944,1 +71514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.501682984,1 +71515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.964088421,1 +71517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.182816935,1 +71516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.629572681,1 +71518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.024437809,1 +71519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.251785209,1 +71520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.877805388,1 +71521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.011951402,1 +71522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.31525526,1 +71523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.390857361,1 +71524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.579337626,1 +71525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.374574498,1 +71528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.426499208,1 +71526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.136669185,1 +71529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.080105402,1 +71530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.952014643,1 +71531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.991032428,1 +71527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.307299569,1 +71532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.444217274,1 +71533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.852034328,1 +71534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.758071538,1 +71536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.201192379,1 +71537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.767216567,1 +71535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.346825761,1 +71538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.691242988,1 +71539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.298179916,1 +71540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.829382599,1 +71541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.346595846,1 +71543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.139524577,1 +71542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.476427504,1 +71544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.083129877,1 +71545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.927722753,1 +71546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.191546579,1 +71548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.321907595,1 +71547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.548797027,1 +71550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.300504484,1 +71551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.128740058,1 +71552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.579763544,1 +71553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.786449396,1 +71549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.547635761,1 +71555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,8.589085442,1 +71554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.42999709,1 +71556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.720230145,1 +71557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.565281154,1 +71559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.676809693,1 +71558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.693465746,1 +71561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.833835654,1 +71560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.027924765,1 +71562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.048860274,1 +71563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.249007919,1 +71564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.953223323,1 +71565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.816993449,1 +71566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.390866711,1 +71567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.462203881,1 +71569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.529623832,1 +71570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.572008834,1 +71572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,1.932021331,1 +71568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.439396455,1 +71571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.721095837,1 +71575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.45975085,1 +71573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.143084403,1 +71574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.710777428,1 +71577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,1.932404698,1 +71578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.895363911,1 +71579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.365800503,1 +71576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.720205274,1 +71581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.449236967,1 +71580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.840993041,1 +71582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.699611748,1 +71584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.351416631,1 +71585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.150024602,1 +71586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.235125313,1 +71583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.334956092,1 +71587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.392756674,1 +71590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.293520491,1 +71589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.660009171,1 +71588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.569063087,1 +71591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.012524246,1 +71593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.704736601,1 +71592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.524743647,1 +71594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.541846811,1 +71595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.605893587,1 +71596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.841827156,1 +71598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.682944599,1 +71599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.942160276,1 +71600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.501210173,1 +71601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.551583215,1 +71597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.263227521,1 +71602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.832922092,1 +71603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.551075843,1 +71604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.259341963,1 +71605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.462117723,1 +71606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.221356616,1 +71607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.771690945,1 +71608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.354910702,1 +71610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.220627633,1 +71609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.706529514,1 +71611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.646760271,1 +71613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.563241403,1 +71612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.56151845,1 +71615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.926096052,1 +71614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.527315652,1 +71617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.242694608,1 +71616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.417377202,1 +71618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.03762344,1 +71620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.04353026,1 +71621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.513498963,1 +71619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.601563772,1 +71622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.374941102,1 +71624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.4774697,1 +71623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.796043676,1 +71626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.767142923,1 +71625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.877205519,1 +71627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.814801952,1 +71628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.774501969,1 +71629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.686856133,1 +71630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.371345379,1 +71631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.291995045,1 +71632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.8319087,1 +71633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.558487387,1 +71635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.870591733,1 +71636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.65257252,1 +71634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.989638599,1 +71638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.743544955,1 +71639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.23981437,1 +71637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.121942847,1 +71641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.848960576,1 +71642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.128147905,1 +71640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.468704176,1 +71644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.470939495,1 +71645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.68435615,1 +71646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.547528176,1 +71643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.933750792,1 +71647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.839543081,1 +71648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.483060765,1 +71649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.810637119,1 +71650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.220951612,1 +71653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.313564332,1 +71654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.037806027,1 +71651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.103522158,1 +71652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.616999721,1 +71655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.456397678,1 +71657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.844688284,1 +71658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.531913821,1 +71660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.752055482,1 +71659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.317630757,1 +71661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.061374465,1 +71656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.659195809,1 +71662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.403559071,1 +71663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.836651251,1 +71664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.205527021,1 +71665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.147402893,1 +71667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.635465324,1 +71666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.247786044,1 +71668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.671673188,1 +71669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.384832151,1 +71671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.654873288,1 +71673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.576925732,1 +71672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.703068253,1 +71670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.307319698,1 +71674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.518674582,1 +71676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.711797734,1 +71677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.857389503,1 +71678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.668062974,1 +71679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.26108074,1 +71675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.472673269,1 +71680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.362875231,1 +71683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.712525625,1 +71681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.386134717,1 +71682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.667291507,1 +71685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.518312562,1 +71686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.26257949,1 +71687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.829163652,1 +71684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.393676441,1 +71689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.609708473,1 +71688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.477663184,1 +71690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.135879276,1 +71693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.871693228,1 +71692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.036078718,1 +71691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.597987974,1 +71694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.957665077,1 +71696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.35740306,1 +71697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.96310924,1 +71695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.257920553,1 +71698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.257180342,1 +71699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.71084018,1 +71700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.544377956,1 +71701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.277871511,1 +71702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.102156662,1 +71703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.775375332,1 +71705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.153498343,1 +71706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.629319368,1 +71707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.924407504,1 +71708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.544902392,1 +71709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.800487044,1 +71710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.467116111,1 +71704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.043355913,1 +71712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.869827116,1 +71711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.087327887,1 +71713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.213625601,1 +71714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.729026311,1 +71715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.719452212,1 +71716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.369304919,1 +71717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.707342955,1 +71718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.025435925,1 +71719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.488279493,1 +71720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.863275864,1 +71721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.492492469,1 +71722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.258947011,1 +71723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.208082304,1 +71725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.874269926,1 +71724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.505546887,1 +71727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.685316815,1 +71728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.96617564,1 +71729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.218949852,1 +71726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,8.196777855,1 +71730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.525398498,1 +71732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.042368633,1 +71731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.436159093,1 +71733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.250858257,1 +71736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.079583053,1 +71734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.907747375,1 +71735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.207829781,1 +71737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.417932975,1 +71738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.711411905,1 +71739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.136315227,1 +71740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.151298507,1 +71742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.707954096,1 +71743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.177143655,1 +71741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.612045604,1 +71744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.563218694,1 +71745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.732514303,1 +71747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.298270172,1 +71746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.559552092,1 +71749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.371135997,1 +71748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.786170998,1 +71750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.195461243,1 +71751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.486705082,1 +71752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.509455202,1 +71756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.036140006,1 +71755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.701055336,1 +71754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.581636575,1 +71753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.07905821,1 +71760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.28573556,1 +71758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.171221495,1 +71759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.541787566,1 +71757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.067313613,1 +71761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.853103605,1 +71764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.602552236,1 +71763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.882167785,1 +71766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.117058233,1 +71767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.383464243,1 +71762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.990070039,1 +71768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.89752943,1 +71769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.501585464,1 +71770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.907402841,1 +71771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.199687213,1 +71765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.35048486,1 +71773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.865700514,1 +71775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.148675659,1 +71772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.236924357,1 +71776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.897795067,1 +71774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.863395678,1 +71777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.561140317,1 +71778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.299607457,1 +71780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.486313646,1 +71781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.502547253,1 +71779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.212204584,1 +71782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.229796176,1 +71783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.877951241,1 +71785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.396742703,1 +71786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.126305892,1 +71787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.776942551,1 +71784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.694579079,1 +71788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.732295303,1 +71789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.564570137,1 +71792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.341473585,1 +71791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.185949981,1 +71790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.344754363,1 +71793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.675348491,1 +71794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.926420948,1 +71795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.674280922,1 +71798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.235720029,1 +71799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.691033007,1 +71796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.745660588,1 +71800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.689894684,1 +71801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.675628575,1 +71797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.962333051,1 +71802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.357888504,1 +71803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.27111248,1 +71805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,8.55021845,1 +71806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.366170662,1 +71804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.173456475,1 +71807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.059785081,1 +71809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.043732193,1 +71810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.643389925,1 +71811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.517702242,1 +71812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.816089339,1 +71813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.122592118,1 +71815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.176902712,1 +71816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.05993535,1 +71808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.54469321,1 +71814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.325078218,1 +71817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.739012684,1 +71819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.774257206,1 +71820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.44180695,1 +71818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.888298407,1 +71822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.143741674,1 +71821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.454357237,1 +71823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.945050341,1 +71824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.859225543,1 +71825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.162534466,1 +71826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.179681828,1 +71827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.887023059,1 +71828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.991634698,1 +71830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.36307069,1 +71831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.493928569,1 +71832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.504768203,1 +71833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.774076385,1 +71829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.519884945,1 +71835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.944114822,1 +71834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.64302517,1 +71837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.494553747,1 +71836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.795714737,1 +71838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.353141288,1 +71839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.333524312,1 +71841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.684941918,1 +71840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.544398788,1 +71842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.843991307,1 +71843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.020996583,1 +71844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.017622459,1 +71845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.781693527,1 +71846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.665171033,1 +71847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.908341914,1 +71848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.115517289,1 +71852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.978702663,1 +71851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.041901146,1 +71850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.852699641,1 +71849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.185528098,1 +71854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.427898764,1 +71855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.835965271,1 +71853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.360258814,1 +71856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.246823074,1 +71857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.138031972,1 +71858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.121347149,1 +71859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.376834237,1 +71861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.263645072,1 +71862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.768717825,1 +71863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.843001378,1 +71860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.627956225,1 +71866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.260891838,1 +71865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.841043546,1 +71864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.658794365,1 +71867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.469963963,1 +71869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.63357087,1 +71870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.780830707,1 +71871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.8699768,1 +71872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.183162899,1 +71873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.598667341,1 +71868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,8.290428031,1 +71874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.369757233,1 +71875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.510713759,1 +71876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.565798355,1 +71878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.396828183,1 +71879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.038765549,1 +71880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.829512924,1 +71877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.71018368,1 +71881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.643272271,1 +71884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.161979491,1 +71882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.347081326,1 +71883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.480366427,1 +71887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.043077052,1 +71885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.066762409,1 +71886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.152374974,1 +71888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.053246407,1 +71889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.916607695,1 +71890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.295792634,1 +71892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.293305443,1 +71893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.737490105,1 +71891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.999762031,1 +71894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.824604065,1 +71895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.490925291,1 +71897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.736624081,1 +71896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.216596877,1 +71898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.574064731,1 +71899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.805316197,1 +71900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.840783665,1 +71901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.317234467,1 +71903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.517768802,1 +71904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.10896563,1 +71902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.672322627,1 +71906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.137265076,1 +71905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.334153716,1 +71908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.748901035,1 +71909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.246277712,1 +71910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.681372851,1 +71907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.952591709,1 +71911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.922727628,1 +71912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.766108557,1 +71913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.493921003,1 +71914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.85696848,1 +71915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.473308861,1 +71917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.876314024,1 +71916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.293399125,1 +71918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.955371871,1 +71919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.358239122,1 +71920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.978372948,1 +71921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.258327991,1 +71922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.759339183,1 +71923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.476746341,1 +71924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,9.008714331,1 +71926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.973451443,1 +71925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.351279841,1 +71927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.198107798,1 +71929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.868675386,1 +71928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.567407059,1 +71930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.636584563,1 +71932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.682560996,1 +71933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.413299186,1 +71934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.775488504,1 +71935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.145970738,1 +71931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.895852852,1 +71936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.741299129,1 +71937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.596949819,1 +71938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.484090919,1 +71940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.823754405,1 +71941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.738551306,1 +71939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.367319733,1 +71942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.607763441,1 +71943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.632927339,1 +71945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.508043269,1 +71944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.745832693,1 +71947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.936790148,1 +71946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.192139918,1 +71948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.249507186,1 +71950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.728812788,1 +71949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.11499398,1 +71951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.692897237,1 +71953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.770390047,1 +71954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.593623328,1 +71955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.81143909,1 +71956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.58294626,1 +71957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.640836909,1 +71952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.57645318,1 +71958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.184858081,1 +71960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.991115297,1 +71959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.868515916,1 +71961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.554637582,1 +71962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.589360168,1 +71963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.182811224,1 +71964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.622186068,1 +71965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.743454433,1 +71966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.587942963,1 +71968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.529988305,1 +71967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.07628049,1 +71970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.964909613,1 +71969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.417568914,1 +71972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.462791797,1 +71971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.695947895,1 +71973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.617379133,1 +71975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,8.995113376,1 +71976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.77269931,1 +71977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.521297536,1 +71974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.155218671,1 +71978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.168577543,1 +71979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.194939215,1 +71980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.206902753,1 +71981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.695912549,1 +71982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.493715585,1 +71983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.940425073,1 +71984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.135313888,1 +71986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.208648012,1 +71985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.346211172,1 +71987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.860056584,1 +71988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.255132711,1 +71989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.823624723,1 +71990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.03510651,1 +71991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,5.23701116,1 +71992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.469948789,1 +71993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,3.672925872,1 +71995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.13680507,1 +71996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.755804461,1 +71997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,7.450212161,1 +71994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.414517161,1 +71998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,2.851831423,1 +71999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,6.471824459,1 +72000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,2,1,4.226898323,1 +81002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.704792846,1 +81001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,8.294704023,1 +81003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.475506307,1 +81004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.046438212,1 +81005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.166917252,1 +81007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.753301511,1 +81008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.340036888,1 +81010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.790817158,1 +81006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.921840785,1 +81009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.005323272,1 +81011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.966632443,1 +81012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.210413279,1 +81013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.244209663,1 +81014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.744265838,1 +81015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.940990111,1 +81016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,7.632513152,1 +81017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.299014715,1 +81018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.853583286,1 +81019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.665447722,1 +81020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.903487931,1 +81021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.066327676,1 +81022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.600804477,1 +81023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.763033089,1 +81025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.26752075,1 +81026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.570547341,1 +81027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.709802346,1 +81024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.755319391,1 +81028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.078542041,1 +81029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.308854204,1 +81031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.762101389,1 +81032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.120020044,1 +81033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.315716362,1 +81030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.767319126,1 +81034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.204936517,1 +81035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.674890889,1 +81036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.31714934,1 +81037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.086588732,1 +81040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.536845854,1 +81039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.318387951,1 +81038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.340787724,1 +81041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.869652446,1 +81044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.250496898,1 +81042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.612731091,1 +81043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.621293012,1 +81046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.08456279,1 +81047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.736757414,1 +81045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.329296987,1 +81048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.66709422,1 +81049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.558065495,1 +81050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,7.992714069,1 +81052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.689724403,1 +81054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,7.221381865,1 +81053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.701365361,1 +81051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.834236695,1 +81056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.935330125,1 +81058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.876825545,1 +81057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.789657456,1 +81055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.401674347,1 +81061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.175453478,1 +81059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.862303039,1 +81060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.898196519,1 +81062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.497077589,1 +81063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,7.279061551,1 +81064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.204305814,1 +81066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.139616253,1 +81067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.272505956,1 +81068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.50667869,1 +81065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.081799612,1 +81069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.392400542,1 +81072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.881272469,1 +81071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.623784044,1 +81070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.429369701,1 +81073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.734841584,1 +81074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.153426793,1 +81075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.561224701,1 +81076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.712376893,1 +81077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.577420288,1 +81078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.681728966,1 +81079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.162443879,1 +81080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.451651521,1 +81082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.875387564,1 +81081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.986324676,1 +81083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.568952094,1 +81084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.767299549,1 +81087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.630221866,1 +81086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.600543798,1 +81088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.359154674,1 +81085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.507556921,1 +81090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.870804076,1 +81089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.916618309,1 +81091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.148079862,1 +81092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.628072905,1 +81093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.599193622,1 +81094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.393401094,1 +81095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.246063834,1 +81096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.656129459,1 +81097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.34416098,1 +81098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.765371998,1 +81099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.557939108,1 +81101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.885680486,1 +81100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,7.319646311,1 +81102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.985567684,1 +81103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.30782344,1 +81104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.158370519,1 +81105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.745821407,1 +81107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.363735,1 +81108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.688596186,1 +81109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.732649233,1 +81110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.568688262,1 +81106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.606367903,1 +81111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.564972321,1 +81112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.483181653,1 +81113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.837934379,1 +81115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.650135325,1 +81116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.63419172,1 +81114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.822727871,1 +81117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.063436185,1 +81118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.350114288,1 +81120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.559718649,1 +81119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,7.285120092,1 +81121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.446281174,1 +81122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.687043169,1 +81123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.22029295,1 +81124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.892449264,1 +81126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.415881523,1 +81125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.631599185,1 +81128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.34924783,1 +81129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.352385597,1 +81130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.317373579,1 +81131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,7.530430674,1 +81133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.657681361,1 +81132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.189776015,1 +81127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.016570276,1 +81135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.068398096,1 +81134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.806712051,1 +81136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.170712366,1 +81137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.570464617,1 +81138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.824862411,1 +81140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.400347851,1 +81139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.290984826,1 +81141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.685545841,1 +81143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.819493306,1 +81142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.668845276,1 +81144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.955732446,1 +81146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.593558765,1 +81147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.699426088,1 +81145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.557239816,1 +81148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.462431983,1 +81152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.904079395,1 +81149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.553333319,1 +81150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.91700475,1 +81151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.561788462,1 +81153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.890831712,1 +81154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.565722854,1 +81155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.060003916,1 +81156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.124346973,1 +81158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.48939254,1 +81157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,7.804083974,1 +81159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.890735788,1 +81160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,7.475180032,1 +81161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.481974898,1 +81162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.112902004,1 +81163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.308344476,1 +81166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.615899684,1 +81165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.932041105,1 +81167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.787739777,1 +81164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.353438979,1 +81169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.050514784,1 +81168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.371838255,1 +81171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.13204369,1 +81170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.771734461,1 +81174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.098123579,1 +81173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.083683762,1 +81172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.582088473,1 +81175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.399179857,1 +81176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.409673837,1 +81177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.427289774,1 +81178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.487954124,1 +81179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.416663651,1 +81180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.144246377,1 +81181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.669596839,1 +81182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.458998806,1 +81184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.88518107,1 +81186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.693642732,1 +81183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.434936216,1 +81185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.222854686,1 +81187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.262444491,1 +81188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.790110939,1 +81189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.477309504,1 +81191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.060169935,1 +81192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.961350721,1 +81190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.084621697,1 +81193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.689796032,1 +81195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.45134298,1 +81194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.538003211,1 +81196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.558072498,1 +81197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.477974901,1 +81199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.153910665,1 +81198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.356339397,1 +81200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.979418875,1 +81202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.189088467,1 +81203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.654713285,1 +81201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.990058195,1 +81205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.155730671,1 +81206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.673190925,1 +81207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.697467745,1 +81208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.907888988,1 +81204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.209538192,1 +81209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.532666586,1 +81210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.998012377,1 +81212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.202728333,1 +81214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.369913961,1 +81213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.259440211,1 +81211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.41818654,1 +81215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.177970204,1 +81217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.794009416,1 +81218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,7.071789064,1 +81219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.219325183,1 +81220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.97499814,1 +81221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.95011256,1 +81216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.741242932,1 +81224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.270586638,1 +81223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.610358529,1 +81225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,7.759973736,1 +81222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.181153139,1 +81229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.998153702,1 +81226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,7.393821057,1 +81227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.563596191,1 +81228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.076514849,1 +81230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,7.034235278,1 +81231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.189528465,1 +81232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.181700796,1 +81233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.462172754,1 +81235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.001262309,1 +81234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.510202303,1 +81236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.337836851,1 +81238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.779823089,1 +81240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.547694387,1 +81239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.251344229,1 +81237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.432100236,1 +81241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.306510622,1 +81242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.20537635,1 +81243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.318056828,1 +81244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.20009476,1 +81245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.786728511,1 +81246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.68394717,1 +81247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.072703019,1 +81248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.733281022,1 +81249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.11180901,1 +81250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.827549549,1 +81251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.710829381,1 +81253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.510104984,1 +81254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.776588173,1 +81255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.695109946,1 +81256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.030761712,1 +81252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.94469197,1 +81257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.144956708,1 +81258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.501894723,1 +81259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.482944869,1 +81260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.34418615,1 +81262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.729653385,1 +81263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.813583175,1 +81261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.690818681,1 +81264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.349726603,1 +81265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.556197205,1 +81266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.05407352,1 +81268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.160734439,1 +81267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.841702142,1 +81269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.236979501,1 +81270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.101740216,1 +81272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.708755216,1 +81273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.398793914,1 +81274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.429447474,1 +81271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.019807096,1 +81276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.157362362,1 +81275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.473124586,1 +81277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.710422279,1 +81278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.371901746,1 +81279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.553893459,1 +81281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.73713986,1 +81283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.94442526,1 +81282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.706420107,1 +81284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.35937316,1 +81286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.318857095,1 +81280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.148973039,1 +81285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.056888218,1 +81287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.480128897,1 +81289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.578165493,1 +81290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.149214879,1 +81288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.679464687,1 +81291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.493521835,1 +81292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.341770369,1 +81293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.800468695,1 +81294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.274325862,1 +81295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.243402036,1 +81296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.957423395,1 +81297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.846146609,1 +81298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.800751212,1 +81299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.56056359,1 +81300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.488788038,1 +81302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.812393099,1 +81303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.784209829,1 +81301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.31548348,1 +81304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,7.625628976,1 +81305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.879270207,1 +81306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.80544703,1 +81308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.793558054,1 +81307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,1.835876661,1 +81309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.513986755,1 +81310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.869254059,1 +81312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.7955596,1 +81311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.240253226,1 +81313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.963270883,1 +81314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.249763937,1 +81315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.967843775,1 +81316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.036824871,1 +81317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.694696031,1 +81318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.922922358,1 +81319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.479014022,1 +81320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.118449781,1 +81322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.212423381,1 +81323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.514274466,1 +81324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.390649009,1 +81321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.631224199,1 +81325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.13668707,1 +81326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.584251474,1 +81327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.941226073,1 +81329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.792389917,1 +81330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,8.781854317,1 +81331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.617909275,1 +81328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.40923453,1 +81332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.882572132,1 +81333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.394480255,1 +81334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.48397391,1 +81335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,7.67428526,1 +81336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.508755546,1 +81338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.582064904,1 +81337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.403693867,1 +81340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.1888085,1 +81341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.053933723,1 +81342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.636072766,1 +81339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.847761298,1 +81343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.791436345,1 +81344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.25349747,1 +81345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.157542732,1 +81347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.749927138,1 +81348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.919966536,1 +81346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.145231795,1 +81349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.127200495,1 +81350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.841540696,1 +81351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.692810152,1 +81352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.588495435,1 +81353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.382930772,1 +81354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.337101958,1 +81355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.362145721,1 +81356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.168799825,1 +81358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.892568109,1 +81357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.330379586,1 +81361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.469830153,1 +81362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.780305279,1 +81360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.84874376,1 +81365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.980351445,1 +81359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.864252922,1 +81364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.19260354,1 +81363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.297505424,1 +81366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.220672213,1 +81367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.708298346,1 +81368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.362835811,1 +81369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.132505426,1 +81370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.64049479,1 +81372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,7.708668888,1 +81371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.96465072,1 +81373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.337038419,1 +81374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.137665235,1 +81376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.272655493,1 +81375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.541193411,1 +81378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.882487587,1 +81377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.332808164,1 +81380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,7.05057307,1 +81381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.24960215,1 +81379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.097826588,1 +81383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.019901245,1 +81384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.084296005,1 +81382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.383310681,1 +81385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.257255556,1 +81386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.841407769,1 +81387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.875852454,1 +81389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.73570227,1 +81390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.973480165,1 +81391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.734403119,1 +81388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.379442794,1 +81392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.929695567,1 +81393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.885221826,1 +81395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.665088863,1 +81394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.094550155,1 +81397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.697111363,1 +81398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.91871685,1 +81399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.64769005,1 +81396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.670417225,1 +81400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.078322073,1 +81402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.558631248,1 +81403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.203093977,1 +81404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.370620777,1 +81401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.386814469,1 +81405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.856758164,1 +81406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.23070463,1 +81407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.030534658,1 +81409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.62849241,1 +81408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.02034221,1 +81410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.538765847,1 +81412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.745059078,1 +81411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.644043793,1 +81415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.008418417,1 +81413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.868021045,1 +81414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.758678667,1 +81416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,7.398210208,1 +81417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.944925266,1 +81419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.876857112,1 +81418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.638413969,1 +81420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.139996764,1 +81422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.57334771,1 +81423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.526067009,1 +81424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.944953218,1 +81425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.00338162,1 +81421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.348228083,1 +81426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.266297771,1 +81429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.707945692,1 +81427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.975053488,1 +81428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.055465834,1 +81430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.661527076,1 +81432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.938375843,1 +81433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.303803752,1 +81431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.001509124,1 +81434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.824912889,1 +81435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.384746483,1 +81436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.945350043,1 +81437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.550385328,1 +81439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.220711601,1 +81440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.463734263,1 +81438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.617694613,1 +81442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.661732278,1 +81443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.109177429,1 +81441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.853181675,1 +81445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.850028147,1 +81446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.53025407,1 +81447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.315306299,1 +81444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.699828607,1 +81449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.896736888,1 +81450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.014314544,1 +81448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.238788737,1 +81453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.982150289,1 +81452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.348177585,1 +81454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.988582896,1 +81451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.783207188,1 +81455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.739055571,1 +81457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.842543097,1 +81456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.526910581,1 +81459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.622246764,1 +81458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.421365255,1 +81460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.573873985,1 +81461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.227079872,1 +81462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.035185921,1 +81463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.095351637,1 +81464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.665744622,1 +81465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.222568073,1 +81466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.496068265,1 +81468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.484320332,1 +81470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.271382176,1 +81469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.871002367,1 +81473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.668661175,1 +81467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.857157155,1 +81471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.703861251,1 +81472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.045948682,1 +81475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.35513665,1 +81474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.547257674,1 +81476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.38251222,1 +81478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.626858849,1 +81477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.175587332,1 +81479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.621360795,1 +81480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.100056664,1 +81482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.032062064,1 +81483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.988831852,1 +81484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.420431185,1 +81485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.568401045,1 +81486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.811251482,1 +81481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.352371004,1 +81487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.529645566,1 +81488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.000913297,1 +81490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.598447116,1 +81489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.204675169,1 +81491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.951772279,1 +81492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.071619318,1 +81494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.545760977,1 +81493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.116566501,1 +81495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.140390522,1 +81496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.103269875,1 +81497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.506086923,1 +81498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.792520382,1 +81499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.575994201,1 +81500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,7.301138288,1 +81501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.457213787,1 +81503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.268212815,1 +81502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.001324242,1 +81505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.130144093,1 +81506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,7.036431221,1 +81508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.145080533,1 +81507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.770157589,1 +81504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.046561793,1 +81509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.850623601,1 +81510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.776050633,1 +81511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.857742248,1 +81513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.024738925,1 +81514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.074396132,1 +81512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.376004645,1 +81516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.116935895,1 +81517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.068226063,1 +81518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.398500062,1 +81515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.020673183,1 +81520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.469093369,1 +81519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,7.875820673,1 +81521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.90033273,1 +81522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.429525007,1 +81523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.448882483,1 +81525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.811634302,1 +81524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.21327451,1 +81526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.734273809,1 +81527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.068228179,1 +81529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.871685117,1 +81531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.786104563,1 +81532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.995262245,1 +81530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.942872538,1 +81528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.410325601,1 +81534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.851675705,1 +81536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.92163903,1 +81533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,8.702785024,1 +81535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.74486379,1 +81539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.642538323,1 +81537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.335768205,1 +81538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.908866991,1 +81541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.953302152,1 +81542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.384277179,1 +81543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.441718343,1 +81540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.186906614,1 +81544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.108758455,1 +81545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.186413622,1 +81547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.230408642,1 +81546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,7.158891945,1 +81548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.196762247,1 +81549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.319076058,1 +81550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.251876716,1 +81551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.318864113,1 +81552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.24876456,1 +81553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.389924751,1 +81555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.404134597,1 +81556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.474187506,1 +81557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.103710799,1 +81554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.268959982,1 +81558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.855336954,1 +81559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.520225342,1 +81560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.670740173,1 +81563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.359955366,1 +81561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.830428881,1 +81564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.902421325,1 +81562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.818795163,1 +81566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.547053302,1 +81565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.262487552,1 +81567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.723202684,1 +81568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.423333142,1 +81569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.752354069,1 +81570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.610192366,1 +81571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.440449505,1 +81572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.148513,1 +81574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.324859037,1 +81575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.173184367,1 +81576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.164469579,1 +81577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.342332574,1 +81573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.95770016,1 +81578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.782715231,1 +81579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.660344334,1 +81580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.977369787,1 +81581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.096615621,1 +81582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.583351387,1 +81583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.685501347,1 +81584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.931352751,1 +81586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.96756524,1 +81587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.99144987,1 +81585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.305523812,1 +81588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.603350226,1 +81589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.672221096,1 +81590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.147382672,1 +81591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.721579688,1 +81592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.035150264,1 +81593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.022961233,1 +81594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.181421305,1 +81596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.460636467,1 +81595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.92010225,1 +81598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.785637037,1 +81599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.262711038,1 +81600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.284095978,1 +81597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.105695812,1 +81601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.037802555,1 +81602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.611080223,1 +81603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.809821564,1 +81605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.12696725,1 +81606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,8.395161902,1 +81607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.117465061,1 +81604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.755906057,1 +81608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.722466333,1 +81609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.346475565,1 +81611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.541824485,1 +81612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.569535395,1 +81613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.649184972,1 +81610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.538734529,1 +81614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.293735329,1 +81616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.131071891,1 +81615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.948468719,1 +81617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.865155788,1 +81619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.142505771,1 +81620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.196565013,1 +81621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.964117633,1 +81622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.566458396,1 +81623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.788041528,1 +81618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.94542787,1 +81624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.319087339,1 +81627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.863643379,1 +81626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.783061921,1 +81625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.028538087,1 +81629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.262110056,1 +81628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,1.986513871,1 +81630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.203181123,1 +81631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.469376719,1 +81633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.08268959,1 +81632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.588729905,1 +81634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.223533058,1 +81635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.559629152,1 +81636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.488916762,1 +81638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.431013505,1 +81639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.173722873,1 +81637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.501992481,1 +81640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.538216887,1 +81641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.731260056,1 +81643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.769674853,1 +81642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.603578363,1 +81645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.145272551,1 +81646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.369383286,1 +81647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.372148352,1 +81644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.057140301,1 +81648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.679426209,1 +81649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.40764061,1 +81650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.106853035,1 +81651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.769292427,1 +81653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.028664822,1 +81652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.598821298,1 +81654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.173605165,1 +81655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.670318792,1 +81657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.732003527,1 +81658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.595195607,1 +81656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.678934152,1 +81659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,7.47384708,1 +81660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.890429276,1 +81661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.933030065,1 +81662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.871848778,1 +81664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,7.2818011,1 +81665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.413358706,1 +81666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.721090186,1 +81667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.475782785,1 +81663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.924930072,1 +81668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.492287611,1 +81669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.36593196,1 +81670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.705472752,1 +81672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.058226152,1 +81673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,8.204060322,1 +81671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.239940611,1 +81674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.676364791,1 +81675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.257420037,1 +81676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.880249289,1 +81678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.456100828,1 +81677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.086367136,1 +81680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.735837216,1 +81679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.883376184,1 +81681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.386292747,1 +81684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.023017964,1 +81683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.649680368,1 +81685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.453135228,1 +81682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.533962934,1 +81686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.358265634,1 +81688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.15704155,1 +81687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.496888473,1 +81689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.547398665,1 +81690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.09372647,1 +81691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.602635929,1 +81692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.359886572,1 +81694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.396844047,1 +81696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.955126036,1 +81693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.593829354,1 +81695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.777021368,1 +81698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.583124491,1 +81697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.757170845,1 +81699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.098085256,1 +81700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.20816817,1 +81701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.173285281,1 +81702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,7.140807731,1 +81704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.138678052,1 +81703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,7.703482736,1 +81706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.6347624,1 +81705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.297024652,1 +81707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.922430723,1 +81708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.940149452,1 +81709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.775953619,1 +81710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.077059622,1 +81711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.421074694,1 +81712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.740588807,1 +81713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.799342949,1 +81714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,7.928597613,1 +81715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,8.866055638,1 +81716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.0231096,1 +81718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.904615536,1 +81717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.642297792,1 +81720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,7.081182626,1 +81721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.062148342,1 +81722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.234021971,1 +81723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.914575852,1 +81724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.121068292,1 +81719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.816266949,1 +81725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.121982344,1 +81726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.238380741,1 +81727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.456997396,1 +81729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,7.940293504,1 +81728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.401068902,1 +81730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.709033271,1 +81732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.315639632,1 +81731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.192516195,1 +81733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.744873996,1 +81736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.155492344,1 +81735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.115409001,1 +81734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.994861198,1 +81737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.004946129,1 +81738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.236659213,1 +81739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.489361136,1 +81741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.787359308,1 +81740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.990032487,1 +81742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.648688452,1 +81743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.84512679,1 +81744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.861844352,1 +81745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.808011106,1 +81746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.057839279,1 +81748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.027096177,1 +81747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.223375711,1 +81750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.147090852,1 +81752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.439585483,1 +81749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.353113652,1 +81751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.636686553,1 +81753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.596984027,1 +81754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.901653702,1 +81756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.676988216,1 +81755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.087217682,1 +81758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.294304542,1 +81757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.907857219,1 +81759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.982036872,1 +81760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.559155212,1 +81762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.814980147,1 +81763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.409362121,1 +81764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.775351377,1 +81761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.736580164,1 +81765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.278802544,1 +81766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.391559245,1 +81767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.242223181,1 +81768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.549136935,1 +81769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.765973507,1 +81771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.340176998,1 +81770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,7.307427824,1 +81772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,7.421252264,1 +81773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.090972082,1 +81775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.830488388,1 +81774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.002597689,1 +81776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.034472897,1 +81777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.024357821,1 +81778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.017187769,1 +81780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.831607581,1 +81779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.742231955,1 +81781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.848433279,1 +81782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.142090601,1 +81783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.40013987,1 +81785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.372224152,1 +81786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.1307344,1 +81787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.306027081,1 +81788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.690475172,1 +81789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.772459991,1 +81790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.743022067,1 +81784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.64269791,1 +81791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.663911357,1 +81792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.644223015,1 +81793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.070714077,1 +81795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.894303869,1 +81794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.925152834,1 +81796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.620080244,1 +81797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.181587944,1 +81798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.494528909,1 +81800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.909407772,1 +81799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.503782998,1 +81801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.261180532,1 +81802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.587873608,1 +81803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.208819491,1 +81805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.456896501,1 +81806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.760906859,1 +81807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.251798627,1 +81808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.511525124,1 +81809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.274282522,1 +81804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.901209475,1 +81813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.725756609,1 +81810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.506904324,1 +81811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.307509061,1 +81812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.641203813,1 +81816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.143631683,1 +81814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.418102718,1 +81815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.050088789,1 +81817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.1671939,1 +81818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.893923204,1 +81819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.80209348,1 +81820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.9961807,1 +81821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.672623751,1 +81822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.933166138,1 +81825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.933832667,1 +81824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.134471561,1 +81826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.776854502,1 +81823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.598013493,1 +81827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.256269805,1 +81829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.748216834,1 +81831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,7.338718902,1 +81830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.695103303,1 +81828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.848167186,1 +81832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.716614843,1 +81833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.664249758,1 +81834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.33023024,1 +81836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.848062568,1 +81837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.179022435,1 +81835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.56702578,1 +81838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.46205904,1 +81839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.806472418,1 +81840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.352358522,1 +81841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.71169052,1 +81843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.688360363,1 +81842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.367494402,1 +81844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.267348266,1 +81845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.061370006,1 +81847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.511792727,1 +81846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.600947464,1 +81848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.629942318,1 +81851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.0419615,1 +81852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.903187987,1 +81849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.113304137,1 +81850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.262935677,1 +81853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.555213173,1 +81854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.10624865,1 +81856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.763172226,1 +81855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.024430675,1 +81860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.354671795,1 +81857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.809145149,1 +81859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.401159581,1 +81858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.386002842,1 +81861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.798623112,1 +81862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.645552886,1 +81863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.880189405,1 +81864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.240845681,1 +81867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.688148193,1 +81866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.305889154,1 +81868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.368958398,1 +81870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.749255087,1 +81869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.584186045,1 +81871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.898957402,1 +81865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.96346546,1 +81874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.849451541,1 +81875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.713892811,1 +81872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.723744202,1 +81873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.073262079,1 +81876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.115726183,1 +81877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.800332058,1 +81879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.890260409,1 +81878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.559848666,1 +81880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.467358396,1 +81881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.746072488,1 +81883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.531539266,1 +81882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.92875514,1 +81884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.738797559,1 +81886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.750041967,1 +81887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.369123674,1 +81885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.242421404,1 +81888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.681530853,1 +81889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.193403735,1 +81891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.966685801,1 +81892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.025762988,1 +81893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.914158332,1 +81890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.4695709,1 +81894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.025222691,1 +81895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.60454034,1 +81896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.809702877,1 +81898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.347616137,1 +81899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.129154025,1 +81897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.952979265,1 +81900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.252534395,1 +81901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.706507965,1 +81903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.436898569,1 +81902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.719176567,1 +81904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.023855924,1 +81905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.480319638,1 +81906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.44457847,1 +81907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.071938135,1 +81908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.357944784,1 +81909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,7.456432744,1 +81911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.350643359,1 +81912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.032794136,1 +81913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.532106827,1 +81914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.76812361,1 +81915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.519473052,1 +81916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.249861221,1 +81910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.337011414,1 +81917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.61746928,1 +81918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.463057641,1 +81920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.183828904,1 +81919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.126756162,1 +81921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.761672097,1 +81922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,7.558679914,1 +81924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.353329106,1 +81923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.426270274,1 +81925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.407680086,1 +81926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.767869769,1 +81927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.19830132,1 +81929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.832726975,1 +81930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.419537623,1 +81931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.907104948,1 +81928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.836897231,1 +81933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.81023823,1 +81932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,2.937774182,1 +81934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,7.512138558,1 +81935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.639678372,1 +81937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.750683287,1 +81936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.005953948,1 +81938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.59573565,1 +81940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.216985419,1 +81939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.684067933,1 +81941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.824128079,1 +81943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.61607553,1 +81942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.586239329,1 +81945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.501665779,1 +81944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.993542175,1 +81947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.108569211,1 +81946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.590826752,1 +81948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.008858378,1 +81949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.901882806,1 +81950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.520639091,1 +81951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.902410999,1 +81952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.661123176,1 +81953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.997795205,1 +81954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.422609798,1 +81955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.499230754,1 +81956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.337475715,1 +81958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.031680387,1 +81959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.233024449,1 +81957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.047561656,1 +81960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.251315779,1 +81961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.916644797,1 +81962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.9739492,1 +81963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.201218621,1 +81965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.105141148,1 +81964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.816584268,1 +81966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.752503758,1 +81968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.42427035,1 +81969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.880374321,1 +81967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.535007352,1 +81970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.302706317,1 +81971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.772209691,1 +81972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.649850654,1 +81974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.062732318,1 +81975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.797911162,1 +81976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.419072806,1 +81973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.972442388,1 +81977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.82304101,1 +81979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.893993871,1 +81978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.609432158,1 +81981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.311070951,1 +81980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.481379065,1 +81982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.66592275,1 +81983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.321432472,1 +81984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.804441971,1 +81985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.948003099,1 +81986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.371880741,1 +81987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.785920871,1 +81988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,7.887416827,1 +81990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.189306211,1 +81991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.375057436,1 +81992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.395027288,1 +81993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.668658686,1 +81989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.140879666,1 +81994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,3.336136468,1 +81995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.758790122,1 +81996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.114814001,1 +81998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.664808432,1 +81997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,6.401889008,1 +81999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,5.644826548,1 +82000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,2,1,4.883332606,1 +91001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.254303033,1 +91002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.755210407,1 +91003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.712719303,1 +91004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.516729539,1 +91006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.545159774,1 +91007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.448421527,1 +91005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.712652642,1 +91008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.243172919,1 +91009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.612447687,1 +91010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,7.399041845,1 +91012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.257187165,1 +91011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.194797509,1 +91013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.032259753,1 +91014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.923464459,1 +91015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.019988113,1 +91016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.008060791,1 +91017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.284481389,1 +91019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.535193093,1 +91018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.918667477,1 +91021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.505457133,1 +91023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.480685457,1 +91022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.979857954,1 +91024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.874083917,1 +91020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.521527232,1 +91026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,7.848883469,1 +91025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.940375303,1 +91027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.138568967,1 +91030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.559897918,1 +91029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.943887453,1 +91028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.225328618,1 +91031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.525666888,1 +91032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.770318603,1 +91033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.802405231,1 +91034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.046390869,1 +91035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.143399574,1 +91036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.198884919,1 +91037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.829049287,1 +91038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.496825648,1 +91039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.527772218,1 +91040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.913702459,1 +91041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.587351828,1 +91043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.804513053,1 +91044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.919658832,1 +91045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.823181201,1 +91047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.694300729,1 +91046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.375972879,1 +91042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.160940701,1 +91048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.752617692,1 +91050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,7.668628419,1 +91049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,7.495053082,1 +91051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.747298514,1 +91052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.231128327,1 +91054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.411035359,1 +91053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.660312699,1 +91055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.551171669,1 +91056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.421303327,1 +91057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.91823818,1 +91058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.291014429,1 +91061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.83887607,1 +91060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.859308633,1 +91062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.163390137,1 +91059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.91442505,1 +91063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.127648503,1 +91064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.828286314,1 +91065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.265865172,1 +91066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.047642331,1 +91067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.961031227,1 +91068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.285312644,1 +91069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.485492534,1 +91071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.248277268,1 +91070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.809328099,1 +91073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.762742348,1 +91072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.502149202,1 +91074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.571305517,1 +91075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.418731256,1 +91076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.259637123,1 +91077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.973283145,1 +91078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.665602194,1 +91080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.266110458,1 +91079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.482152746,1 +91082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.530139834,1 +91083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.864114623,1 +91084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,7.060428723,1 +91085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.301350164,1 +91081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.412071531,1 +91086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.806347331,1 +91088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.31947973,1 +91087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.400781266,1 +91090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.41585586,1 +91091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.732684055,1 +91089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.61843562,1 +91092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.969807251,1 +91093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.042724887,1 +91095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,7.522330747,1 +91094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.641601786,1 +91097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.973016825,1 +91098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.368968099,1 +91096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.685331483,1 +91099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.392326628,1 +91100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.761307041,1 +91101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.891939348,1 +91103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.969742527,1 +91102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.979155188,1 +91104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.419530837,1 +91106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.377969488,1 +91107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.67450148,1 +91105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.613944018,1 +91108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.705278629,1 +91109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.668435501,1 +91110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.833323747,1 +91111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.57847686,1 +91112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.986807096,1 +91113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.913722796,1 +91114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.648043619,1 +91115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.675231389,1 +91116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.347223545,1 +91117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.852774908,1 +91120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.192994474,1 +91119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.357327709,1 +91118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.042055996,1 +91121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.724563494,1 +91124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.68466453,1 +91122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.097552019,1 +91123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.296694033,1 +91125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,1.451048003,1 +91127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.947132039,1 +91128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.769170222,1 +91129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.667492124,1 +91126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.299786453,1 +91131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.772194467,1 +91130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.932828856,1 +91132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.646325407,1 +91133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.51488874,1 +91134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.153503905,1 +91136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.897566105,1 +91135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.001429918,1 +91138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.029622331,1 +91137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.328941335,1 +91140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.219238034,1 +91139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.478554652,1 +91141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.017313342,1 +91142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.850182127,1 +91143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.679886643,1 +91144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.966109231,1 +91145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,7.447220216,1 +91146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.28582167,1 +91148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.466722993,1 +91149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,8.392736823,1 +91150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.699721078,1 +91151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.864091479,1 +91152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.754336553,1 +91147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.829895337,1 +91153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.72338044,1 +91154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.067009476,1 +91156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.477696021,1 +91155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,8.048673013,1 +91157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.978920156,1 +91158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.394662479,1 +91160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.332296388,1 +91161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.964648752,1 +91162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.962156173,1 +91159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.176030112,1 +91163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.46730531,1 +91164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.692576738,1 +91165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.617086584,1 +91166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.195431197,1 +91167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.907802224,1 +91169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.485107463,1 +91168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.955474069,1 +91170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.764877477,1 +91173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.35503371,1 +91172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.121004109,1 +91171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,7.093348323,1 +91175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.009140802,1 +91176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.90891263,1 +91174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.736817034,1 +91177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.611865016,1 +91178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.442499931,1 +91179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.520572622,1 +91180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.876530116,1 +91181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.607804674,1 +91182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.107372487,1 +91183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.071182664,1 +91184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.350398739,1 +91185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.347614346,1 +91186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.484385911,1 +91187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.549226063,1 +91189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.651127817,1 +91188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.775515931,1 +91190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.479464266,1 +91191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.208102305,1 +91192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.125665993,1 +91193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.002034774,1 +91194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.104758962,1 +91195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.452125911,1 +91196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.449433741,1 +91197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.677242116,1 +91198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.163253976,1 +91199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.548313333,1 +91200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.418783989,1 +91202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.402550502,1 +91204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.409670951,1 +91203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.891251067,1 +91201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.424374692,1 +91205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.189341977,1 +91206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.37223366,1 +91209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.488717212,1 +91207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.501508639,1 +91210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.633952505,1 +91208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.456494374,1 +91211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,7.695028193,1 +91212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.804425271,1 +91213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.432341628,1 +91216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.198677353,1 +91214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.732802013,1 +91218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.275474744,1 +91217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.670684214,1 +91215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.179332407,1 +91219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.93424467,1 +91221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.893464019,1 +91222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.697728953,1 +91220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.260765015,1 +91224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.514118839,1 +91225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.471872082,1 +91223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.005987354,1 +91226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.268803789,1 +91227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.575655768,1 +91228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.444997653,1 +91230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.239852603,1 +91229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.587708443,1 +91233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.296319914,1 +91231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.467404339,1 +91232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.684673563,1 +91234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.211973953,1 +91237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.224328379,1 +91236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.019334733,1 +91238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.565193914,1 +91235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.118217366,1 +91239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.29722426,1 +91240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,7.181028875,1 +91243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.239784073,1 +91242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.547357213,1 +91244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.962003535,1 +91245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.419428843,1 +91246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.738784716,1 +91241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.85472277,1 +91249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.983115413,1 +91247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,7.114570655,1 +91250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.916301729,1 +91248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,1.423072504,1 +91252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.651039905,1 +91253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.615931602,1 +91254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.325450852,1 +91255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.83132355,1 +91257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.793664105,1 +91251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.761663108,1 +91256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.483769405,1 +91258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.331092627,1 +91259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.029412791,1 +91262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,7.181106052,1 +91260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.850406606,1 +91265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.670565712,1 +91263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.72622499,1 +91261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.245285357,1 +91264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.696588186,1 +91266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.922013145,1 +91267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.984170778,1 +91268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.495292186,1 +91269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.0125247,1 +91271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.3991397,1 +91272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.625266254,1 +91273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.013507128,1 +91274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.589249368,1 +91270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.260274149,1 +91276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.057961338,1 +91275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.177872274,1 +91278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.103970205,1 +91277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.241967478,1 +91279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.455623925,1 +91280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.644928078,1 +91281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.041198402,1 +91282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.442710654,1 +91283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.962936775,1 +91284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,8.219103404,1 +91285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.23322874,1 +91286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.314020428,1 +91287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.859234206,1 +91289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.049908457,1 +91288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.705141713,1 +91290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.508063706,1 +91291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.70378517,1 +91293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.788469764,1 +91294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.546032938,1 +91292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,7.439901484,1 +91295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.978739187,1 +91297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.846174969,1 +91298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.699412406,1 +91299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.621200615,1 +91296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.060213117,1 +91300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.493461053,1 +91302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.688854921,1 +91301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,7.170973555,1 +91304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.382002014,1 +91306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.369023183,1 +91305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.818911366,1 +91307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.093034219,1 +91303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.313470742,1 +91308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.669391777,1 +91309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.674386598,1 +91311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.338092591,1 +91310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.922740372,1 +91312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,7.897589368,1 +91313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.553199496,1 +91314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.616239093,1 +91315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.567849155,1 +91316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.106968275,1 +91317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.194004752,1 +91319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.686652563,1 +91320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.715115818,1 +91321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.8499719,1 +91322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.444326374,1 +91324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.407088772,1 +91318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.637699948,1 +91323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.493936515,1 +91325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.733061339,1 +91327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.097547161,1 +91328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.890765178,1 +91326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.211388283,1 +91329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.162403465,1 +91330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.153458427,1 +91331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.803223122,1 +91332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.070982643,1 +91333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.974023281,1 +91335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.532175903,1 +91336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.570831159,1 +91337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.755397345,1 +91339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.451069764,1 +91338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.536718226,1 +91334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.106948193,1 +91340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.669192224,1 +91342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.554242986,1 +91341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.113108329,1 +91343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.644768898,1 +91344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.558688644,1 +91345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.387405032,1 +91346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.5725621,1 +91347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.513487208,1 +91348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.974817208,1 +91349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.408851195,1 +91350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.867666157,1 +91352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.03808401,1 +91353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.865733907,1 +91354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.492204221,1 +91351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.633483204,1 +91356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.867694892,1 +91355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.38244312,1 +91357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.689250871,1 +91358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.727371971,1 +91359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,7.104057761,1 +91360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.866538555,1 +91361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.160294622,1 +91362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.557398148,1 +91363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.14741422,1 +91364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.608457566,1 +91365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,7.84908968,1 +91366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.839121074,1 +91368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.595117567,1 +91369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.835074562,1 +91367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.977494514,1 +91371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.775520564,1 +91372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.019702245,1 +91370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.382636858,1 +91373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.594720803,1 +91374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.413362302,1 +91375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.5387768,1 +91376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.371146662,1 +91377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.392347228,1 +91378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.940900259,1 +91380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.5864033,1 +91379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.334627428,1 +91381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.496897088,1 +91382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.424399505,1 +91383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.328560005,1 +91384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.949674723,1 +91385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.696662816,1 +91386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.132179683,1 +91387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.23301049,1 +91388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.741991052,1 +91392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.306031714,1 +91391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.147064229,1 +91390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.374882056,1 +91393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.018800683,1 +91395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,7.59022563,1 +91394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.657399062,1 +91389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.082043129,1 +91396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.243973411,1 +91397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.611059176,1 +91398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.413961195,1 +91399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.445531996,1 +91401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,7.032508271,1 +91402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.46359198,1 +91400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.472391129,1 +91403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.492169898,1 +91404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.185860427,1 +91405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.894457095,1 +91406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.060795665,1 +91407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.740702745,1 +91408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.734888244,1 +91409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.967965648,1 +91410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.712612357,1 +91413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.694687271,1 +91412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.269768704,1 +91414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.208076916,1 +91411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.759187357,1 +91416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.304786453,1 +91415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.194897866,1 +91417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.922048764,1 +91418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.769069403,1 +91420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.727825912,1 +91419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.18332434,1 +91421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.118879047,1 +91422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,8.037515317,1 +91423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.151381794,1 +91424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.469589775,1 +91425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.140462936,1 +91427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.035069408,1 +91428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.106939365,1 +91426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.922811583,1 +91429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.622287589,1 +91430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.734268191,1 +91431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.104035278,1 +91432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.792873432,1 +91433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.78119163,1 +91434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.584902342,1 +91435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.534542354,1 +91437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.63030982,1 +91438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.63136599,1 +91436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.597963425,1 +91439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.563599088,1 +91440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.356816429,1 +91441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.115637238,1 +91442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.33705941,1 +91443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.536875068,1 +91444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.590863359,1 +91445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.399864471,1 +91447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.537143596,1 +91448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.637445794,1 +91446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.569671569,1 +91449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.69127925,1 +91450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.218287545,1 +91451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.688788994,1 +91453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.053798963,1 +91452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.855742103,1 +91454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.488728123,1 +91455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,8.079567025,1 +91456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.893986267,1 +91458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.039159978,1 +91457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.595425539,1 +91459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.138421578,1 +91460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.766185838,1 +91461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.249844938,1 +91462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.08871069,1 +91463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.304513561,1 +91464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,1.341712903,1 +91465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.631236387,1 +91467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.404056411,1 +91469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.972041785,1 +91468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,7.028889957,1 +91470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.107172839,1 +91471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.663739966,1 +91472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.635530008,1 +91473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.783899965,1 +91475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.948122088,1 +91466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.280313539,1 +91474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.919729808,1 +91476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.82669678,1 +91479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.865913668,1 +91478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.664055944,1 +91477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.580385126,1 +91480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.241941503,1 +91481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.652193512,1 +91483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.493618326,1 +91482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.457118166,1 +91484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.360485849,1 +91485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.047578543,1 +91486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.034959793,1 +91487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.554490525,1 +91488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.843729206,1 +91489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.315811303,1 +91490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.037190698,1 +91492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.444111334,1 +91493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.94917342,1 +91494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.348044764,1 +91491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.690278649,1 +91495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.856741915,1 +91497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.432294684,1 +91496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.922563987,1 +91498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.677312823,1 +91499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.344637434,1 +91500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.324926456,1 +91501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.177604873,1 +91502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.709110604,1 +91503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.043602543,1 +91504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.422874762,1 +91505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.822791474,1 +91506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.689661813,1 +91507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.261931889,1 +91509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.547815935,1 +91508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.163040695,1 +91513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.355366209,1 +91512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.607990758,1 +91511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.075967162,1 +91510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.955080626,1 +91514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.997458883,1 +91515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.943253742,1 +91516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.610412019,1 +91517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.448196965,1 +91519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.403266501,1 +91518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.863027521,1 +91520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.211167958,1 +91521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.740986331,1 +91522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.396765706,1 +91523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.280811727,1 +91524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.469257499,1 +91526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.541191221,1 +91528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.353594371,1 +91527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.186761154,1 +91529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.002906773,1 +91530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.069478672,1 +91531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.819590238,1 +91525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.798681701,1 +91532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.123677172,1 +91533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.93537437,1 +91535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.173528512,1 +91536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.161316807,1 +91537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.529565855,1 +91534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.189919402,1 +91538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.142917697,1 +91540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.336966979,1 +91541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.389963505,1 +91539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.986594839,1 +91542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.946899924,1 +91544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.170420492,1 +91543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.528194597,1 +91545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.232272954,1 +91548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.537837657,1 +91549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.430329391,1 +91547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.706638886,1 +91546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.437871175,1 +91550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.731713048,1 +91551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,7.586107317,1 +91552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.532436205,1 +91553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.008587642,1 +91555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.714669445,1 +91554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.567087277,1 +91556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.380315707,1 +91559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.032219451,1 +91560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.369379705,1 +91558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.203725806,1 +91557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.925565471,1 +91561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,7.518530979,1 +91563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.737422719,1 +91564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.874248705,1 +91566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.019199688,1 +91562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.72768481,1 +91567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.685757794,1 +91568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.767763244,1 +91565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.628420014,1 +91569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.236507863,1 +91570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.835891257,1 +91573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.157811059,1 +91572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.840045873,1 +91574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.641738406,1 +91571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.728307017,1 +91575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.214533786,1 +91577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.733552777,1 +91578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.212227852,1 +91576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.903577121,1 +91580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.170365802,1 +91579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.035809129,1 +91581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.803625617,1 +91582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.128548355,1 +91583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,7.482819928,1 +91585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.735740204,1 +91584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.097897686,1 +91586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.754410901,1 +91589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.931024847,1 +91587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.935980703,1 +91588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.663209992,1 +91592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.294071034,1 +91591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.284569588,1 +91590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,1.793210804,1 +91593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.472965478,1 +91594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.338720032,1 +91597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.948434038,1 +91596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.538129864,1 +91598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.361817138,1 +91595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.049347204,1 +91599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.315999609,1 +91600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.377958049,1 +91602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.815982872,1 +91601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.410250777,1 +91605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.367900897,1 +91604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.001829156,1 +91603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.098101669,1 +91606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.490090972,1 +91607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.518294087,1 +91609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.294911328,1 +91608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.443531037,1 +91610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.724103509,1 +91611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.871902291,1 +91612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.277194925,1 +91613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.293420535,1 +91614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,7.849806972,1 +91615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.151417937,1 +91617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.764013419,1 +91618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.763050944,1 +91619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.91439685,1 +91616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.620517097,1 +91621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.569583308,1 +91622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.360648212,1 +91623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.468402805,1 +91620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,7.113163249,1 +91624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.222944441,1 +91625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.268055335,1 +91626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.253983691,1 +91627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.740775453,1 +91628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.190243778,1 +91629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.795655884,1 +91630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.046126008,1 +91632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.334146863,1 +91631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.637491899,1 +91634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.263286545,1 +91633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.988630343,1 +91636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.89387927,1 +91635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.572580621,1 +91637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.248201674,1 +91638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.817812935,1 +91640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.69726012,1 +91641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.14278876,1 +91642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,1.901127809,1 +91643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.356217473,1 +91639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.485651153,1 +91644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.369386926,1 +91645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.41729374,1 +91646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.268341737,1 +91647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,8.195421105,1 +91648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.622661597,1 +91649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.942589638,1 +91651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.756375028,1 +91650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.897106282,1 +91652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.278570396,1 +91653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.276333723,1 +91654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.343299528,1 +91655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.684362821,1 +91656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.953044923,1 +91659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.031712854,1 +91657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.687457394,1 +91660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.939912137,1 +91661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.701006358,1 +91662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.907371099,1 +91658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.00985294,1 +91665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.15198192,1 +91663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.526753258,1 +91666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.310612539,1 +91664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.798902379,1 +91667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.582644392,1 +91668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.4428541,1 +91670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.273954238,1 +91669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.830829155,1 +91671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.278040127,1 +91672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.904780067,1 +91673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.223817012,1 +91675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.819463022,1 +91676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.08488537,1 +91677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.275294885,1 +91678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.691799038,1 +91674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.070306099,1 +91679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.896713932,1 +91680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,8.641699628,1 +91682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.697010396,1 +91681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.915364765,1 +91684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.96897797,1 +91683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.234286669,1 +91685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.193199376,1 +91686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.929788988,1 +91688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.123751818,1 +91687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.661377331,1 +91691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.712339431,1 +91689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.556903185,1 +91692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.176758426,1 +91690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.757666381,1 +91696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.261831914,1 +91695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.622938941,1 +91694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.941546745,1 +91693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.102402688,1 +91698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.990283516,1 +91699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.295378924,1 +91700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.138769015,1 +91697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.544247941,1 +91701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.188542054,1 +91702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.807987943,1 +91703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.426930575,1 +91705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.743346414,1 +91706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.581513317,1 +91704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.358902329,1 +91707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.831625601,1 +91710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.464021951,1 +91708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.966813174,1 +91709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.159307763,1 +91712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.627202581,1 +91711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.180044353,1 +91713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.049956037,1 +91714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.849794882,1 +91715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,8.415714209,1 +91717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.622504455,1 +91718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.690203114,1 +91720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.141868543,1 +91719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.185113136,1 +91721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.520580334,1 +91716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.156219554,1 +91723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.480083161,1 +91722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.932519595,1 +91725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.955455637,1 +91724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.26433084,1 +91727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.817897804,1 +91728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.59325653,1 +91726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.622474215,1 +91729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.613306184,1 +91730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.149879214,1 +91731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.835378835,1 +91733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.353919365,1 +91732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.970091444,1 +91734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.712338781,1 +91736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.030925718,1 +91738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.546120132,1 +91735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.577287146,1 +91737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.170995356,1 +91741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.671359701,1 +91739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.001775193,1 +91742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.853679165,1 +91740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.926120328,1 +91743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.225920149,1 +91744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.290413035,1 +91746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.382444368,1 +91747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.35365458,1 +91748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.928392172,1 +91745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.723700281,1 +91749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.203682872,1 +91750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.678957127,1 +91751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.423242465,1 +91753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.696915847,1 +91755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,7.012946749,1 +91752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.677904661,1 +91754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.790814603,1 +91758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.398998089,1 +91756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.030874993,1 +91759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.296108143,1 +91757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.358455614,1 +91761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.711917939,1 +91762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.864981248,1 +91763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.093763536,1 +91760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.69090805,1 +91764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.529285734,1 +91765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.282331968,1 +91766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.556530709,1 +91767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.095124956,1 +91770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.000199561,1 +91768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.435310887,1 +91771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.739467055,1 +91769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.905294325,1 +91773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.014550736,1 +91772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.856140252,1 +91774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.037547933,1 +91775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.963269544,1 +91776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.166524328,1 +91777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.327144696,1 +91778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.894895452,1 +91779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.929417207,1 +91782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.35642271,1 +91780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.468500514,1 +91781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.377634003,1 +91783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.993348384,1 +91784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.952004661,1 +91785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.12803974,1 +91786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.105687042,1 +91787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.571853958,1 +91789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.448311911,1 +91790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.880850843,1 +91788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.526962968,1 +91791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.605436391,1 +91793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.295157868,1 +91792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.551570458,1 +91795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.333941179,1 +91794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.441597249,1 +91796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.280376093,1 +91797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.207558249,1 +91798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.74020716,1 +91799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.731939901,1 +91800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.864543674,1 +91802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.836970229,1 +91803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.809420298,1 +91801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.838010974,1 +91804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.049151414,1 +91805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.640817193,1 +91808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.727810361,1 +91807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.530197718,1 +91809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.117652119,1 +91806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.526214192,1 +91810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.202424661,1 +91811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.042805264,1 +91812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.622040449,1 +91814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.370941748,1 +91813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.472036635,1 +91815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.056992039,1 +91816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.832899304,1 +91818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.430960804,1 +91817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.425836514,1 +91820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.556871134,1 +91821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.058894984,1 +91819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.47088731,1 +91822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.207971167,1 +91823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.061933357,1 +91824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,7.316473161,1 +91826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.618653742,1 +91825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.798572814,1 +91827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.347258569,1 +91829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.096609257,1 +91830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.683236032,1 +91828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.711033086,1 +91831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.671189412,1 +91832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.524445449,1 +91834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.881349146,1 +91833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.140863777,1 +91835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.971960733,1 +91837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.101521265,1 +91836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.842856757,1 +91839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.73168671,1 +91838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.33447649,1 +91840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.653293075,1 +91841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.552421332,1 +91842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.632513677,1 +91843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.138935303,1 +91845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.409096077,1 +91846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.827156695,1 +91847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.606803622,1 +91844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.408618629,1 +91848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.18037164,1 +91849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.879912936,1 +91851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.871812531,1 +91850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.017953828,1 +91853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.864196788,1 +91852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.108564054,1 +91854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.35837347,1 +91855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,7.266667603,1 +91856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,7.471006673,1 +91857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,7.069529207,1 +91858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.446911289,1 +91859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.077428782,1 +91860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.814997598,1 +91861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.050286666,1 +91863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.571759781,1 +91862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,7.698394597,1 +91864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.65600774,1 +91866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.860467921,1 +91865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.234892404,1 +91867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.079884436,1 +91868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.495924389,1 +91869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.979559424,1 +91870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.371459183,1 +91871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.245678182,1 +91872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.272943373,1 +91874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.484227017,1 +91873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.451793739,1 +91875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,7.215600773,1 +91876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.048410641,1 +91877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.098586691,1 +91878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.084124595,1 +91879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.021653443,1 +91880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.813662211,1 +91881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.053214248,1 +91883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.427682648,1 +91884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.066884399,1 +91885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.101001386,1 +91886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.852002803,1 +91887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.786045844,1 +91888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.706775897,1 +91889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.387839587,1 +91890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.680651969,1 +91891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.173202138,1 +91892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.614862425,1 +91882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.427765086,1 +91893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.532385585,1 +91894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.764426873,1 +91897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.167200576,1 +91896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.889844672,1 +91895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.745132199,1 +91898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.899280396,1 +91901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.357622813,1 +91899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.674459855,1 +91900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.141251387,1 +91902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.789260064,1 +91903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.954601113,1 +91904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.900121318,1 +91905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.333324359,1 +91906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.34932008,1 +91908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.83365334,1 +91907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.508846134,1 +91910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.67349106,1 +91912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.067327317,1 +91911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.556711188,1 +91909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.049101992,1 +91914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.709783943,1 +91915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.150018945,1 +91913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.515518586,1 +91916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.801122907,1 +91917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.256243027,1 +91918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.969504234,1 +91919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.38580747,1 +91920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.340109282,1 +91922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,7.080383854,1 +91921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.726252461,1 +91923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.110367243,1 +91924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.089627208,1 +91927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.852282573,1 +91925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.523615519,1 +91926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.188350988,1 +91929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.799033616,1 +91928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.654463706,1 +91930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.711930557,1 +91931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.597166505,1 +91934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.180098718,1 +91932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.986306086,1 +91933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.841374961,1 +91935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.472551023,1 +91936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.884440306,1 +91937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.119462129,1 +91938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.13898631,1 +91939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.609922021,1 +91941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.555420818,1 +91940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.537598548,1 +91942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.226754726,1 +91943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.866019329,1 +91944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.265742687,1 +91945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.919071134,1 +91947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.925896307,1 +91948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.870796891,1 +91949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.397981829,1 +91950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.129613104,1 +91946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.520856889,1 +91951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.309342184,1 +91952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.689528178,1 +91953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.506217718,1 +91955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.956648369,1 +91954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.718601178,1 +91956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.397902868,1 +91958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.003075668,1 +91957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.682446033,1 +91959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.502882231,1 +91960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.32371444,1 +91961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.850019599,1 +91962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.336944376,1 +91963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.722126534,1 +91964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,7.580044342,1 +91965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.631439068,1 +91966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.191439985,1 +91968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.019666388,1 +91969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.550403848,1 +91970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.012049968,1 +91971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.626620678,1 +91972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.145802423,1 +91973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.830793784,1 +91967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.022561363,1 +91974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,7.488459072,1 +91975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.799130679,1 +91976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.61826096,1 +91977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.932030201,1 +91978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.007621555,1 +91979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.576297963,1 +91980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.055321643,1 +91981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.505116839,1 +91982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.653143463,1 +91983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.702096117,1 +91984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,2.963109618,1 +91986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.297651362,1 +91987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.454600063,1 +91985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.438291786,1 +91988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.25370532,1 +91989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.401055916,1 +91990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.837862103,1 +91991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,5.654174186,1 +91992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.346056572,1 +91993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,6.396071841,1 +91994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.70544521,1 +91995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.097204079,1 +91996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.214849193,1 +91997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.297857449,1 +91999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,7.339592352,1 +91998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,3.519542055,1 +92000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,2,1,4.654484414,1 +101001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.050505145,1 +101002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.578358501,1 +101003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.118054043,1 +101005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.628694834,1 +101004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.500333616,1 +101007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.270047628,1 +101006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.163421806,1 +101009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.791432541,1 +101011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.593856646,1 +101010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.714608764,1 +101012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.199230091,1 +101008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.084990661,1 +101016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.016500295,1 +101014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.178386526,1 +101013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.364669569,1 +101015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.537646916,1 +101017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.11713761,1 +101019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.124665494,1 +101018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.330628627,1 +101020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.260505829,1 +101021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.947558407,1 +101023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.61188899,1 +101022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.95895022,1 +101024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.8980326,1 +101027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.413395861,1 +101026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.364468892,1 +101028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.596674976,1 +101031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.424582087,1 +101025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.486306241,1 +101030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.801860279,1 +101029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.280860382,1 +101033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.036038171,1 +101034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.348517096,1 +101035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.071769604,1 +101032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.614928829,1 +101036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.166365037,1 +101037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.957536747,1 +101038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.919565898,1 +101039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.858476919,1 +101040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.023034262,1 +101041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.075875653,1 +101042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.0016235,1 +101043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.671270886,1 +101045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.24644768,1 +101044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.327813551,1 +101046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.388933568,1 +101047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.983761493,1 +101051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.480814237,1 +101048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.006257951,1 +101050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.287712921,1 +101049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.866323519,1 +101053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.560816602,1 +101054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.425076254,1 +101052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.147890604,1 +101055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.495376604,1 +101057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.079335354,1 +101056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.953677439,1 +101058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.016799639,1 +101060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.674864795,1 +101059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.948706114,1 +101061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.10861969,1 +101062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.217524778,1 +101063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.200461327,1 +101064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.709432903,1 +101066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.384421859,1 +101065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.377888993,1 +101069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.941663851,1 +101070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.708660611,1 +101067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.762929538,1 +101068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.055964706,1 +101071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.212746568,1 +101072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.556125579,1 +101073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.789096386,1 +101074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.017148343,1 +101075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.06898484,1 +101077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.195340914,1 +101076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.892467304,1 +101078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.520864492,1 +101079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.580736136,1 +101081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.700013792,1 +101080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.935138335,1 +101082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.660434254,1 +101083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.167172571,1 +101085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.057066011,1 +101087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.46339075,1 +101084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.981951499,1 +101088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.026309932,1 +101090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.940803695,1 +101086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.231059277,1 +101091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.423317814,1 +101089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.106520217,1 +101092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.452060671,1 +101093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.926423114,1 +101094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.673802497,1 +101096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.307971248,1 +101095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.298202058,1 +101097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.580602159,1 +101098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.57100191,1 +101099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.490332736,1 +101100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.223834803,1 +101101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.468019497,1 +101102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.169801152,1 +101104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.930287757,1 +101106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.859183434,1 +101107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.503041995,1 +101103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.290078954,1 +101105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.887258809,1 +101108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,9.053158557,1 +101110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.153152896,1 +101109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.515295971,1 +101112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.138454783,1 +101111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.464337255,1 +101115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.967356729,1 +101113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.414915554,1 +101114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.751147959,1 +101116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.23751381,1 +101117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.009042514,1 +101118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.87764376,1 +101119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.92795433,1 +101120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.308384033,1 +101122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.806194191,1 +101123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.125960571,1 +101121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.839073872,1 +101124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.746949803,1 +101125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.129620247,1 +101126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.973139121,1 +101127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.147513582,1 +101129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.79384176,1 +101128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.333694988,1 +101130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.948443048,1 +101131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.143252307,1 +101134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.341081064,1 +101132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.427969261,1 +101133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.05423505,1 +101135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.824092551,1 +101136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.388736976,1 +101137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.845709019,1 +101140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.059601407,1 +101138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.314697995,1 +101141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.89964795,1 +101139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.684211528,1 +101142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.33787556,1 +101143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.791280625,1 +101144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.033073865,1 +101145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.682367122,1 +101147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.707920202,1 +101148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.679124971,1 +101149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.950215342,1 +101150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.259257545,1 +101151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.893058828,1 +101146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.13754783,1 +101152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.781523758,1 +101153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.913407961,1 +101154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.079806243,1 +101155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.333313065,1 +101159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.497340774,1 +101156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.326925202,1 +101158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.464013648,1 +101157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,8.211348184,1 +101160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.280390469,1 +101161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,8.123765519,1 +101162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.542756291,1 +101164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.56084332,1 +101163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.265244345,1 +101165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.877258428,1 +101166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.167225235,1 +101169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.276521726,1 +101170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.851855037,1 +101168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.690375264,1 +101172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.142063792,1 +101171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.76853584,1 +101167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,8.576308163,1 +101173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.877381343,1 +101174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.602953694,1 +101177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.48809233,1 +101176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.929776537,1 +101175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.365032636,1 +101180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.931819904,1 +101178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.606938699,1 +101181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.176259406,1 +101182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.563067553,1 +101183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.993624903,1 +101179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.873817907,1 +101184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.722779966,1 +101186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.198368112,1 +101187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.388851349,1 +101188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.663588166,1 +101189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.553937595,1 +101185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.817488953,1 +101190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.793382014,1 +101191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.89931157,1 +101194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.030091037,1 +101193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.180125372,1 +101195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.766187008,1 +101197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.037105474,1 +101192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.390783242,1 +101199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.518541134,1 +101198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.122819948,1 +101196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.548540379,1 +101200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.662840525,1 +101201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.51888415,1 +101202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.118015946,1 +101204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.944019652,1 +101203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.237176729,1 +101206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.746631385,1 +101207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.390634244,1 +101208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.073865932,1 +101209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.986291258,1 +101210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.090463058,1 +101205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.975480799,1 +101211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.30553279,1 +101214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,8.502331422,1 +101212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.624286848,1 +101216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.807684885,1 +101213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.646444523,1 +101215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.124113634,1 +101217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.808945446,1 +101218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.343421656,1 +101219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.466903978,1 +101220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.343169872,1 +101221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.199122961,1 +101222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.576083379,1 +101223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.613406757,1 +101224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.763864766,1 +101225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.940318531,1 +101227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.993779233,1 +101228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.244606479,1 +101226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.819310146,1 +101230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.361407434,1 +101229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.283327252,1 +101232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.87069709,1 +101233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.583212429,1 +101231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.364440646,1 +101234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.944044787,1 +101235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.750058349,1 +101236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.616430446,1 +101237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.555618233,1 +101238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.801151836,1 +101239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.319953901,1 +101240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.284586577,1 +101241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.187450322,1 +101242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.343338646,1 +101243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.19901309,1 +101244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.231373411,1 +101246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.815665949,1 +101245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.39414228,1 +101248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.893721413,1 +101247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.969541524,1 +101249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.537040438,1 +101250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.809706184,1 +101251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.529789672,1 +101252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.488843203,1 +101253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.329410287,1 +101255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.334396142,1 +101256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.759498024,1 +101257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.176070803,1 +101258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.694504091,1 +101259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.68628401,1 +101260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.638868263,1 +101254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.852394194,1 +101261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.574969501,1 +101263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.991434963,1 +101264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.47725868,1 +101262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.047746742,1 +101265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.850517672,1 +101267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.121571391,1 +101266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.559616896,1 +101269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.208795445,1 +101270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.090904245,1 +101268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.635005328,1 +101271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.204730446,1 +101272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.960341496,1 +101274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.161167898,1 +101276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.587884377,1 +101275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.069896098,1 +101278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.573898297,1 +101279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.516139225,1 +101277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.211049712,1 +101273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.758218318,1 +101280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.156249243,1 +101281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.356047815,1 +101283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.899537498,1 +101282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.022560504,1 +101287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.618694842,1 +101286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.811611282,1 +101285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.301408998,1 +101284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.26015405,1 +101288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.637700935,1 +101290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.943193824,1 +101289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.89733047,1 +101291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.582498019,1 +101292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.388580023,1 +101293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.361062434,1 +101295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.763991821,1 +101297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.424724738,1 +101296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.151847496,1 +101298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.811624805,1 +101294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.148722303,1 +101299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.670700755,1 +101300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.992091899,1 +101301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.099017516,1 +101302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.070766883,1 +101303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.862266368,1 +101304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.362732233,1 +101306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.77963212,1 +101307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.534276411,1 +101308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.88597489,1 +101305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.476013127,1 +101309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.881424657,1 +101310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.774807862,1 +101311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.465377909,1 +101312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.138791558,1 +101313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.105478669,1 +101314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.678239914,1 +101316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.039483381,1 +101315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.325522313,1 +101318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.319054961,1 +101319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.85579214,1 +101317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.007425986,1 +101321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.593398066,1 +101322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.860954864,1 +101320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.401588555,1 +101323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.25195507,1 +101324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.867031777,1 +101326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.617008904,1 +101327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.980993989,1 +101328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.912062339,1 +101325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.885305793,1 +101329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.429651389,1 +101331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.456344177,1 +101332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.605105617,1 +101330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.326081054,1 +101333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.089069966,1 +101335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.983757984,1 +101337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.955234945,1 +101334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.307691895,1 +101338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.903823229,1 +101340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.404672092,1 +101336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.534571586,1 +101341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.017854742,1 +101342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.805748456,1 +101343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.101612831,1 +101339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.683419521,1 +101345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.070556561,1 +101344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.625671182,1 +101346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.130909233,1 +101347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.657598121,1 +101348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.592011513,1 +101349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.659822047,1 +101351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.052508197,1 +101353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.119634388,1 +101350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.961412411,1 +101354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.079408376,1 +101355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.717668282,1 +101352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.377924005,1 +101358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.653127534,1 +101356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.503955782,1 +101359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.242367639,1 +101357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.896524351,1 +101362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.811861821,1 +101363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.291636067,1 +101361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.769950088,1 +101364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.056696324,1 +101360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.902118867,1 +101365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.922564886,1 +101366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.527873984,1 +101368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.088787655,1 +101367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.253424697,1 +101369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.603781556,1 +101371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.433443594,1 +101370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.227807739,1 +101373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.116945654,1 +101374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.897934252,1 +101375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.521655806,1 +101372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.203696736,1 +101377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.786115177,1 +101376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.610027927,1 +101379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.069122742,1 +101378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.284824874,1 +101381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.520796075,1 +101382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.640123558,1 +101380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.231768089,1 +101383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.352291658,1 +101384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.523263651,1 +101385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.034206473,1 +101386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.394660335,1 +101387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.120026269,1 +101388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.640360995,1 +101389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.781820384,1 +101390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.455159712,1 +101391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.052433451,1 +101392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.35919594,1 +101394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.44371564,1 +101393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.492086019,1 +101396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.48250787,1 +101395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.937970162,1 +101398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.230405624,1 +101397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.950273793,1 +101400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.897455385,1 +101401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.591878672,1 +101399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.386553659,1 +101402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.793762269,1 +101403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.580600139,1 +101404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.325820542,1 +101405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.68939543,1 +101406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.782709797,1 +101407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.785374992,1 +101408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.319871091,1 +101409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.916317571,1 +101410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.807670278,1 +101411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.858092439,1 +101414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.774527876,1 +101412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.889835366,1 +101413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.727371463,1 +101415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.401192705,1 +101417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.120733914,1 +101416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.782163479,1 +101418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.986788069,1 +101419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.315835049,1 +101420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.831136016,1 +101421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.036706918,1 +101422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.185915092,1 +101423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.507533988,1 +101424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.962324135,1 +101425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.397934494,1 +101426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.016811305,1 +101427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.514686125,1 +101429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.429612215,1 +101431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.374018621,1 +101428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.722399891,1 +101432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.493107988,1 +101430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.270968506,1 +101434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.175782067,1 +101433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.509881569,1 +101435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.486833835,1 +101437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.452562203,1 +101436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.391561592,1 +101438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.398490756,1 +101439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.029312389,1 +101440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.084246705,1 +101441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.204134969,1 +101442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.255181218,1 +101443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.918236209,1 +101444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.209646522,1 +101446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.8045749,1 +101447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.617018976,1 +101445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.860412985,1 +101449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.011876193,1 +101448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.847126685,1 +101451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.291124229,1 +101450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.729634216,1 +101452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.727569119,1 +101453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.752602266,1 +101455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.578753444,1 +101454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.074351293,1 +101456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.367129465,1 +101457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.785446877,1 +101459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.848067634,1 +101460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.098587362,1 +101458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.714955769,1 +101461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.13819595,1 +101463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.097865464,1 +101464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.172942103,1 +101462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.819297047,1 +101465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.035759755,1 +101467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.017899272,1 +101468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.602042328,1 +101466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.767519728,1 +101469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.279126316,1 +101470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.37988517,1 +101472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.743956816,1 +101473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.530040326,1 +101471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.333317851,1 +101474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.993414944,1 +101475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.033816052,1 +101476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.381811087,1 +101477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.918212693,1 +101478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.674115858,1 +101479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.290593971,1 +101480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.194647015,1 +101482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.006372156,1 +101481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.161976601,1 +101483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.840223888,1 +101484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.577802534,1 +101486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.07055324,1 +101485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.042648749,1 +101487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.495443268,1 +101488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.921926835,1 +101489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.908507325,1 +101491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.716995738,1 +101492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.222602438,1 +101490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.388697112,1 +101493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.375127401,1 +101495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.500800042,1 +101494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.012899413,1 +101496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.244869385,1 +101497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.894004949,1 +101498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.615851743,1 +101499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.130723089,1 +101500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.607140199,1 +101502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.008963589,1 +101501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.669291334,1 +101503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.420928832,1 +101504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.556754002,1 +101506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.038051382,1 +101507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.251903973,1 +101505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.703888049,1 +101508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.152438591,1 +101510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.549222713,1 +101509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.157285165,1 +101511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.97542135,1 +101512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.380150151,1 +101513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.639065878,1 +101514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.609440323,1 +101516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.700531611,1 +101515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.367994985,1 +101517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.684325486,1 +101518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.900889064,1 +101519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.708895421,1 +101520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.120466734,1 +101523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.648019116,1 +101522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.49924816,1 +101521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.644362857,1 +101524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.400681845,1 +101525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.177960809,1 +101528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.901720834,1 +101527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.514899724,1 +101526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.185647808,1 +101529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.228093677,1 +101531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.726777485,1 +101530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.219030789,1 +101532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.399538103,1 +101533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.066528592,1 +101534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.126851903,1 +101535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.881384,1 +101537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.949653893,1 +101536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.658353731,1 +101538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.626380714,1 +101539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.441288803,1 +101540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.062476262,1 +101541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.949271284,1 +101542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.505188421,1 +101543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.50834183,1 +101544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.165796863,1 +101545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.611067577,1 +101546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.319965733,1 +101547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.820406403,1 +101548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.749700397,1 +101549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.072977251,1 +101551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.928870036,1 +101550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.736666043,1 +101552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.763467525,1 +101553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.631120015,1 +101554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.967794265,1 +101555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.948568888,1 +101556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.881015422,1 +101559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.418563041,1 +101557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.095862816,1 +101558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.1201363,1 +101560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.213805758,1 +101561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.947316838,1 +101563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.686766356,1 +101562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,1.770730942,1 +101564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.232152614,1 +101565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.473369875,1 +101566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.186853176,1 +101567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.022808788,1 +101568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.794572767,1 +101569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.273451938,1 +101570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.106088452,1 +101571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.112987654,1 +101572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.317638759,1 +101573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.828033666,1 +101574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.03273684,1 +101576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,1.684303613,1 +101577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.88379292,1 +101575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.834075091,1 +101578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.490001071,1 +101580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.909398857,1 +101579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.574497348,1 +101581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.882075679,1 +101582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.055571198,1 +101583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.782399114,1 +101584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.533520613,1 +101585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.584488287,1 +101586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.405218574,1 +101587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.113685098,1 +101588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.907334176,1 +101590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.984186301,1 +101591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.36895218,1 +101589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.307534194,1 +101592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.728126891,1 +101594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.361851649,1 +101593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.432957035,1 +101595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.020167994,1 +101596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.428160272,1 +101597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.028729872,1 +101598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.4330154,1 +101599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.387778897,1 +101600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.053918901,1 +101601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.881701263,1 +101602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.025132174,1 +101603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.352234269,1 +101605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.958257921,1 +101604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.996889471,1 +101606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.426037365,1 +101608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.650221628,1 +101609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.310675194,1 +101607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.020396288,1 +101610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.065621475,1 +101611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.246606469,1 +101612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.75969388,1 +101613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.026427604,1 +101614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.263024085,1 +101617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.921787168,1 +101615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.588138921,1 +101616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.379922252,1 +101618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.798496456,1 +101620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.563528291,1 +101621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.919961516,1 +101619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.941125182,1 +101622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.387940743,1 +101623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.805415058,1 +101624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.56749807,1 +101625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.965722515,1 +101626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,9.068344905,1 +101627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,8.796950064,1 +101628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.929125856,1 +101629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.504554543,1 +101630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.384006303,1 +101632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.462447132,1 +101631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.209301139,1 +101633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.78732392,1 +101636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.960485025,1 +101634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.960077562,1 +101635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.331008768,1 +101637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.930397712,1 +101638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.790366159,1 +101639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.636321948,1 +101642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.300608467,1 +101641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.366959523,1 +101643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.915038771,1 +101640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.671796759,1 +101645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.289268885,1 +101644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.998210308,1 +101646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.707491251,1 +101647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.449063419,1 +101649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.572898836,1 +101651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.74774473,1 +101648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.097027773,1 +101650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.518063731,1 +101653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.668125038,1 +101654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.440819345,1 +101652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.69193638,1 +101655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.879086682,1 +101657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.643252024,1 +101659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.219634803,1 +101658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.550861376,1 +101660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.622751075,1 +101656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.832245102,1 +101661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.864431619,1 +101662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.300015065,1 +101663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.592729386,1 +101665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.32676673,1 +101664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.684604924,1 +101666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.107072698,1 +101669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.129099453,1 +101667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.207505348,1 +101670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.371834765,1 +101671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.913826781,1 +101672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.408020115,1 +101668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.585916207,1 +101675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.261936476,1 +101674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.468966477,1 +101673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.06687293,1 +101676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.137971083,1 +101677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,9.445544057,1 +101679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,9.501319488,1 +101680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.131769424,1 +101681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.874933439,1 +101682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.817705708,1 +101683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.512315168,1 +101678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.28464176,1 +101685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.161625372,1 +101686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.314329289,1 +101687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.321815305,1 +101684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.539626869,1 +101690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,9.27428788,1 +101689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.113403999,1 +101691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.926830564,1 +101692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.056766112,1 +101688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.376789419,1 +101693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.849101964,1 +101694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.815884069,1 +101696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.317162536,1 +101695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.930008867,1 +101698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.529666933,1 +101697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.815515996,1 +101699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.515767293,1 +101702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.227359514,1 +101701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.424343782,1 +101704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.087772049,1 +101703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.256664649,1 +101700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.179622182,1 +101705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.816417626,1 +101707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.979916486,1 +101708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.699632127,1 +101709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.524494409,1 +101706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.300568356,1 +101711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.538010277,1 +101710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.92526325,1 +101713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.856025959,1 +101712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.792274503,1 +101714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.915555705,1 +101715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.402730739,1 +101716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.116328336,1 +101717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.046225139,1 +101718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.301682652,1 +101719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.627868588,1 +101720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.804462923,1 +101721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.190095126,1 +101723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.10530697,1 +101724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.675041768,1 +101722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.58915729,1 +101725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.065795253,1 +101728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.782528819,1 +101729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.590725374,1 +101726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.21925331,1 +101727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.14173942,1 +101730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.57320593,1 +101731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.089902924,1 +101733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.681256989,1 +101732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.04839213,1 +101734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.211240984,1 +101735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.132045244,1 +101736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.036912936,1 +101737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.954630471,1 +101738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.623991917,1 +101739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.896407657,1 +101741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.834555329,1 +101740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.783248672,1 +101744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.993727785,1 +101742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.515426176,1 +101743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.407550507,1 +101745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.536177129,1 +101748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.656981947,1 +101747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.159821038,1 +101746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.627320782,1 +101749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.37895843,1 +101751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.066479806,1 +101750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.155058038,1 +101752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.691892504,1 +101753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.708699764,1 +101754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.605717467,1 +101755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.773298242,1 +101756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.279508086,1 +101757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.341123244,1 +101759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.397989253,1 +101760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.930493315,1 +101758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.678472294,1 +101763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.736515663,1 +101762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.554212156,1 +101761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.937307129,1 +101764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.728724159,1 +101765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.348858762,1 +101766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.367487014,1 +101767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.952406924,1 +101768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.852631225,1 +101769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.689206957,1 +101770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.990706318,1 +101771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.717434235,1 +101772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.700783234,1 +101773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.455866832,1 +101774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.868711342,1 +101775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.630147878,1 +101776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.004040226,1 +101777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.026124184,1 +101778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.173559365,1 +101779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.230726205,1 +101781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.826518024,1 +101780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.067155124,1 +101782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.682133371,1 +101783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.86895409,1 +101784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.923020192,1 +101785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.555258095,1 +101786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.863720957,1 +101787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.788980418,1 +101788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.889996106,1 +101790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.941217801,1 +101789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.671276122,1 +101792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.443815705,1 +101793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.753676438,1 +101791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.557504057,1 +101794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.597982959,1 +101796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.433935686,1 +101797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.24063486,1 +101798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.515844289,1 +101795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.901980674,1 +101799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.206562596,1 +101801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.336767798,1 +101802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.285845445,1 +101800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.408488419,1 +101804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.426323352,1 +101805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.443437826,1 +101803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.563924971,1 +101806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.328636426,1 +101807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.428416197,1 +101808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.798052362,1 +101809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.789211693,1 +101810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.713208843,1 +101811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.66220069,1 +101812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.65136108,1 +101813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.025438577,1 +101814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.194211873,1 +101815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.411022916,1 +101816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.264557508,1 +101817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,8.125719008,1 +101819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.092157517,1 +101818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.778248766,1 +101820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.942509376,1 +101821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.108297945,1 +101822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.610586938,1 +101825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.410292342,1 +101824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.909156434,1 +101823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.560202554,1 +101827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.756564559,1 +101826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.234977033,1 +101828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.514014104,1 +101829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.517677807,1 +101830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.315078187,1 +101831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.888338732,1 +101832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.936181962,1 +101833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.911790377,1 +101834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.432567091,1 +101835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.812306735,1 +101836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.774817921,1 +101837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.840119268,1 +101838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.578179014,1 +101839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.834604,1 +101840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.132544519,1 +101842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.047511009,1 +101841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.832760264,1 +101843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.172530579,1 +101844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.033633205,1 +101845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.173831135,1 +101846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.101023014,1 +101847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.307504295,1 +101848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.426635142,1 +101849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.513322054,1 +101851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.002616875,1 +101850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.541957083,1 +101855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.985517937,1 +101854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.050303991,1 +101853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.494430437,1 +101852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.701478227,1 +101857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.173347221,1 +101856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.884401193,1 +101858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.468947894,1 +101859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.228038839,1 +101860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.317686322,1 +101861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.649752747,1 +101862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.653691621,1 +101863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.147254823,1 +101864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.642438619,1 +101867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.57513804,1 +101866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.214579387,1 +101865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.811270943,1 +101869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.832437233,1 +101868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.899520026,1 +101871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.677972483,1 +101870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.176829214,1 +101873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.461046189,1 +101875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.873521362,1 +101872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.545741672,1 +101876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.413588033,1 +101877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.81155246,1 +101878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.468533028,1 +101879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.555947317,1 +101874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.385004295,1 +101880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.701545239,1 +101881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.030865635,1 +101882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.205248373,1 +101884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,1.94530515,1 +101885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.413256769,1 +101883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.981805718,1 +101886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.713455083,1 +101888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.190116803,1 +101889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.055130553,1 +101887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.577485107,1 +101890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.561183216,1 +101892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,1.949518449,1 +101891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.226414582,1 +101893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.748877948,1 +101894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.026614238,1 +101897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,8.86598793,1 +101896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.502552594,1 +101898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.714495478,1 +101895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.769195151,1 +101899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.923047351,1 +101900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.698231919,1 +101901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.79151994,1 +101903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.451661655,1 +101904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.543147164,1 +101902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.836850704,1 +101905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.853152201,1 +101907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.855319077,1 +101906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.303716824,1 +101908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.394665678,1 +101909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.116009635,1 +101911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.61036176,1 +101913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.04132676,1 +101912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.736326638,1 +101910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.148081255,1 +101914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.68893119,1 +101915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.945931538,1 +101916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.949985725,1 +101917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.900165037,1 +101919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.359332633,1 +101918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.71369766,1 +101921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.048112903,1 +101923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.877925556,1 +101924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.196680694,1 +101922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.953948615,1 +101920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.117308632,1 +101928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.279293809,1 +101927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.302673058,1 +101925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.842827339,1 +101926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.132527757,1 +101930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.337847743,1 +101929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.437848624,1 +101931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.846329235,1 +101932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.811382741,1 +101933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.72014194,1 +101934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.380903321,1 +101935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.563932145,1 +101936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.37622531,1 +101937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.668416355,1 +101939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.523959178,1 +101940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.666255816,1 +101942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.09292153,1 +101938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.922104501,1 +101941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.097911307,1 +101943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.264980703,1 +101944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.336658784,1 +101945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.020189496,1 +101947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.465440921,1 +101948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.5741054,1 +101946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.444946839,1 +101949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.104847943,1 +101951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.663167992,1 +101950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.392153117,1 +101952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.706467568,1 +101953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.053367681,1 +101954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.607410987,1 +101955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.849271976,1 +101956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.561068002,1 +101957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.895595361,1 +101958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.842715577,1 +101960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.584599855,1 +101961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.006422429,1 +101959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.695281072,1 +101963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.166288828,1 +101962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.731301951,1 +101965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.495216379,1 +101964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.703264613,1 +101966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.174659883,1 +101967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.739157781,1 +101968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.999254173,1 +101969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.093821763,1 +101970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.192989569,1 +101971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.779229819,1 +101972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,2.786736027,1 +101973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,7.802450211,1 +101974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.711063033,1 +101975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.868930852,1 +101976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.539006492,1 +101977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.789971301,1 +101978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.644494992,1 +101979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.729175814,1 +101982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.982056898,1 +101980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.741915099,1 +101981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.827042772,1 +101983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.811993952,1 +101986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,3.541152392,1 +101985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.483005621,1 +101984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.770439971,1 +101987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.775485632,1 +101988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.507411326,1 +101990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.833468674,1 +101989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.863323674,1 +101991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,8.240946666,1 +101992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.341821106,1 +101993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.193785431,1 +101995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.813090155,1 +101994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.506671228,1 +101996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.996367778,1 +101997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,6.047043288,1 +101998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,4.04915128,1 +101999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.323427292,1 +102000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,2,1,5.110182572,1 +111002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.324345221,1 +111004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.808055485,1 +111003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.381240652,1 +111001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.543785961,1 +111005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.78874032,1 +111006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.785609064,1 +111008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.430038078,1 +111007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.117868282,1 +111009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.866626236,1 +111010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.612085443,1 +111011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.343124706,1 +111013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.861357747,1 +111012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.638874324,1 +111014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.798622405,1 +111015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.482263255,1 +111016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.20767702,1 +111018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.260329701,1 +111017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.4070374,1 +111021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.189423108,1 +111019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.714376519,1 +111022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.814054611,1 +111023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.998449769,1 +111024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.91851537,1 +111020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.659916266,1 +111025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.523726932,1 +111027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.617791117,1 +111026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.268394826,1 +111028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.369196402,1 +111030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.661963522,1 +111031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.43157625,1 +111032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.052083955,1 +111033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.948347563,1 +111034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.572435054,1 +111029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.734293212,1 +111035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.534797515,1 +111037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.399725786,1 +111038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.536386132,1 +111036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.376423679,1 +111040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.845840584,1 +111042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.101134135,1 +111041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.259296261,1 +111039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.374541245,1 +111044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.061085434,1 +111043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.093234347,1 +111046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.621603676,1 +111047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.842005484,1 +111048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.212851637,1 +111049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.847483295,1 +111045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.671936365,1 +111052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.463142116,1 +111051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.187400004,1 +111053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.137353301,1 +111055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.124167309,1 +111050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.033633107,1 +111054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.398864101,1 +111056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.779677183,1 +111058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.478441687,1 +111059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.583718954,1 +111057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.070891527,1 +111060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.245903193,1 +111061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.530364372,1 +111062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.53351468,1 +111063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.611114666,1 +111065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.228499941,1 +111066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.356563371,1 +111067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.772705224,1 +111064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.214846832,1 +111070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.413583539,1 +111068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.26734729,1 +111071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.243304275,1 +111069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.426137223,1 +111072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.523572734,1 +111073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.438782609,1 +111074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.958854662,1 +111075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.604239314,1 +111076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.245873867,1 +111077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.451817997,1 +111079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.891186704,1 +111078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.633309269,1 +111080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.747823245,1 +111081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.083995635,1 +111084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.878782654,1 +111082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.213536166,1 +111085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.317701164,1 +111083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.927273449,1 +111087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.015780512,1 +111086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.294645644,1 +111088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,9.251360419,1 +111091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.51456003,1 +111089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.474281309,1 +111090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.479986134,1 +111094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.381402729,1 +111093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.862384398,1 +111095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.980526789,1 +111092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.374074765,1 +111096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.648555146,1 +111097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.379101288,1 +111098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.421302884,1 +111099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.915749412,1 +111100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.995187701,1 +111101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.05273846,1 +111102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.208787001,1 +111104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.686215271,1 +111105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.433360073,1 +111106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.977505155,1 +111103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.095426172,1 +111108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.934163375,1 +111107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.741877524,1 +111109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.093078404,1 +111112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.192525931,1 +111111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.233572975,1 +111110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.277055092,1 +111113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.720741626,1 +111114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.956339981,1 +111115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.776228756,1 +111116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.340969769,1 +111119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.037159269,1 +111118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.950202436,1 +111117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.389220137,1 +111122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.390806077,1 +111120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.405649105,1 +111123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.050804786,1 +111121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.338805793,1 +111124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.846458636,1 +111126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.094066625,1 +111127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.795477908,1 +111128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.69130467,1 +111129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.68069011,1 +111125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.79371839,1 +111130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.087844344,1 +111132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.029123184,1 +111131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.762055922,1 +111134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.322396143,1 +111133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.67127899,1 +111136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.266497008,1 +111135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.236993282,1 +111137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.103926,1 +111138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.916102741,1 +111139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.587407217,1 +111140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.1562346,1 +111141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.964079822,1 +111143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.132529966,1 +111144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.906454942,1 +111145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.00948338,1 +111142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.976201353,1 +111146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.821124906,1 +111147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.152009108,1 +111148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.726913022,1 +111149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.953476095,1 +111151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.527264954,1 +111150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.305316082,1 +111152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.478095627,1 +111153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.068303115,1 +111155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.439448291,1 +111154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.411990005,1 +111156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.267170709,1 +111158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.96429363,1 +111159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.014441445,1 +111157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.497814939,1 +111160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.055340426,1 +111162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.380765185,1 +111161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.597633317,1 +111163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.979827184,1 +111164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.3998365,1 +111165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.719181468,1 +111168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.128724653,1 +111167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.799264109,1 +111169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.73113002,1 +111166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.789850578,1 +111170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.330216527,1 +111172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.526977447,1 +111171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.878362058,1 +111174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.59984538,1 +111173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.336773995,1 +111175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.959829098,1 +111176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.207572441,1 +111177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.097229793,1 +111178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.079215998,1 +111179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.36195125,1 +111180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.064148299,1 +111181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.841065708,1 +111182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.45692079,1 +111183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.204130087,1 +111184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.417880667,1 +111185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.929147508,1 +111187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.375720262,1 +111189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.735323499,1 +111188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.618320953,1 +111190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.63123508,1 +111186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.491783639,1 +111191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.860809488,1 +111192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.234301792,1 +111194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.925074625,1 +111193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.19703639,1 +111195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.414497509,1 +111196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.366876747,1 +111197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.24153048,1 +111198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.203453512,1 +111199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.67905299,1 +111201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.74885908,1 +111202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.255820463,1 +111200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.946267389,1 +111203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.372917565,1 +111205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.628771607,1 +111206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.287115971,1 +111207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.745321271,1 +111204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.486617172,1 +111208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.809101529,1 +111209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.473924125,1 +111211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.789050035,1 +111210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.30995213,1 +111212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.266489543,1 +111213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.97023668,1 +111214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.477346784,1 +111216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.691701628,1 +111215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.025127948,1 +111217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.954329906,1 +111218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.257767483,1 +111219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.991489287,1 +111220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.006650875,1 +111221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.498081975,1 +111223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.409875672,1 +111224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.053168796,1 +111222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.585271233,1 +111225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.058783484,1 +111227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.92341032,1 +111226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.034164262,1 +111228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.956008347,1 +111230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.149341045,1 +111231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.05341327,1 +111232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.086487188,1 +111233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.08234332,1 +111229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.986141748,1 +111234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.947913747,1 +111235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.816705413,1 +111236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.462157384,1 +111238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.496640464,1 +111237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.522994982,1 +111239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.367465718,1 +111240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.719246435,1 +111242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.285670463,1 +111241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.806420352,1 +111243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.296505246,1 +111244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.766093823,1 +111246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.550488604,1 +111248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.28029294,1 +111247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.557306154,1 +111249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.544816866,1 +111251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.873691384,1 +111250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.906826083,1 +111245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.420646071,1 +111253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.617771387,1 +111252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.036201245,1 +111254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.365227376,1 +111255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.270789874,1 +111257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.013348174,1 +111258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.425863653,1 +111256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.549299881,1 +111259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.547123631,1 +111260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.497939031,1 +111261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.295377159,1 +111262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.855113402,1 +111264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.687421312,1 +111265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.500875629,1 +111263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.53895047,1 +111266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.771373152,1 +111268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.165075118,1 +111270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.896106894,1 +111267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.455276255,1 +111269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.877266372,1 +111273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.474958601,1 +111271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.818274772,1 +111274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.712445145,1 +111272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.973628709,1 +111276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.024374931,1 +111277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.249129657,1 +111278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.752282505,1 +111279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.828819075,1 +111275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.071278513,1 +111281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.52673372,1 +111280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.431065508,1 +111282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.408384282,1 +111284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.10849271,1 +111283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.378047389,1 +111285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.114756699,1 +111288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.140243302,1 +111286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.985157578,1 +111287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.459276814,1 +111289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.789175346,1 +111290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.585933622,1 +111291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.524596177,1 +111292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.518616172,1 +111293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.238123602,1 +111295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.98931269,1 +111296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.806575928,1 +111297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.078852391,1 +111298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.883190748,1 +111294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.154876792,1 +111299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.373936774,1 +111302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.267419341,1 +111301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.544802378,1 +111300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.502050807,1 +111303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.464380283,1 +111304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.54950935,1 +111305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.966211927,1 +111307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.311701766,1 +111306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.189547207,1 +111308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.819468069,1 +111309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.435675238,1 +111310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.053970915,1 +111311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.212761875,1 +111313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.865732503,1 +111314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.119486882,1 +111315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.677380924,1 +111316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.660691702,1 +111312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.098235848,1 +111317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.068748076,1 +111320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.893321279,1 +111319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.144603634,1 +111318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.070682117,1 +111321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.539632436,1 +111322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.072157468,1 +111323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.355828909,1 +111324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.854551653,1 +111325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.23260604,1 +111327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.367357153,1 +111326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.561868789,1 +111328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.971014867,1 +111331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.641633936,1 +111329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.934674966,1 +111330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.927841255,1 +111332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.301650237,1 +111334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.461480245,1 +111333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.473290251,1 +111335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.494941072,1 +111337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.520845768,1 +111336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.442652809,1 +111339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.988301567,1 +111338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.3632728,1 +111340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.264906379,1 +111341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.183904837,1 +111342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.284135619,1 +111343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.15392501,1 +111344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.72926073,1 +111345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.315910384,1 +111346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.114682622,1 +111347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.512147914,1 +111348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.427840745,1 +111349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.103512895,1 +111350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.664994331,1 +111351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.924361155,1 +111352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.908149041,1 +111354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.039856053,1 +111355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.789197009,1 +111353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.090542101,1 +111356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.016501544,1 +111357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.176499,1 +111358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.1074255,1 +111360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.386382877,1 +111361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.554468043,1 +111362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.505437873,1 +111359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.475810921,1 +111363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.040123732,1 +111365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.408971097,1 +111364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.736690737,1 +111366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.07661427,1 +111368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.185071687,1 +111369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.848960506,1 +111370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,1.774089756,1 +111367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.721891043,1 +111371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.531124575,1 +111372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.198169621,1 +111374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.305156834,1 +111375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.63556651,1 +111376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.386451994,1 +111377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.40648804,1 +111378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.845503716,1 +111373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.818644968,1 +111379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.599421775,1 +111380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.32528024,1 +111381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.179736844,1 +111382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.967659584,1 +111384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.039537378,1 +111383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.362473799,1 +111385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.659232325,1 +111386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.84077093,1 +111388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.54982536,1 +111389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.420097611,1 +111390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.258577946,1 +111391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.953639847,1 +111387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.417914053,1 +111392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.832983082,1 +111394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.826998399,1 +111395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.956628276,1 +111393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.100930845,1 +111396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.4898257,1 +111398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.102304756,1 +111397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.750362023,1 +111399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.79030274,1 +111401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.791570784,1 +111400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.767330215,1 +111402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.926532026,1 +111403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.068730903,1 +111405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.665573612,1 +111406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.213729823,1 +111407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.895628404,1 +111408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.379918043,1 +111409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.352599514,1 +111404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.244422728,1 +111411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.040546796,1 +111413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.671870527,1 +111412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.893393361,1 +111410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.257718612,1 +111414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.957100793,1 +111415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.358751749,1 +111416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.019228029,1 +111417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.63227426,1 +111418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.808701932,1 +111419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.113129964,1 +111420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.932575202,1 +111421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.494907649,1 +111422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.943956945,1 +111424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.878718232,1 +111426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.765887266,1 +111423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.476743814,1 +111427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.93603364,1 +111425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.989116933,1 +111428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.004846653,1 +111429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.491341948,1 +111431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.692263271,1 +111430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.51735087,1 +111432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.309270273,1 +111433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.403306963,1 +111434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.644819797,1 +111435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.935707697,1 +111436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.649091462,1 +111437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.51990561,1 +111438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.600602883,1 +111439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.620311388,1 +111440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.97819215,1 +111443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.059779119,1 +111441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.352099311,1 +111442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.222930454,1 +111444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.180508269,1 +111446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.127822203,1 +111448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.056725257,1 +111447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.210474995,1 +111449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.71800306,1 +111450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.100674093,1 +111451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.747673084,1 +111445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.025502099,1 +111452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.384437994,1 +111453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.294250593,1 +111454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.228717791,1 +111455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.022601414,1 +111456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.843741256,1 +111457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.609282601,1 +111459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.877220033,1 +111460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.884733088,1 +111458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.991191934,1 +111461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.697640836,1 +111462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.064310126,1 +111463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.660567051,1 +111464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.92621203,1 +111465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.715505829,1 +111467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.358229534,1 +111468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.850096992,1 +111469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.253596677,1 +111470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.296397691,1 +111471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.273514054,1 +111466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.695071961,1 +111472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.591895215,1 +111475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.900760212,1 +111473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.686543397,1 +111476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.864454688,1 +111474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.429739978,1 +111477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.997644777,1 +111478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.936564355,1 +111479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.144876142,1 +111480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.92370207,1 +111481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.696276839,1 +111482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.400148921,1 +111483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.585453757,1 +111484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.537765969,1 +111486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.380471242,1 +111487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.212295541,1 +111488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.7279278,1 +111485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.511096468,1 +111489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.791171215,1 +111490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.667990898,1 +111492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.941380186,1 +111493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.019983536,1 +111494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.324390579,1 +111491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.096863705,1 +111495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.849866778,1 +111496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.836739645,1 +111497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.082138433,1 +111498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.902314746,1 +111500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.365125929,1 +111501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.045460157,1 +111499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.254215348,1 +111502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.822180878,1 +111503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.922487875,1 +111504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.07490559,1 +111505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.055823064,1 +111507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.830697173,1 +111506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.328258269,1 +111508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.894177583,1 +111510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.260080191,1 +111511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.045242373,1 +111512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.007925019,1 +111513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.196574016,1 +111514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.388928616,1 +111515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.903806313,1 +111516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.624687524,1 +111517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.886016795,1 +111509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.136671829,1 +111518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.82491061,1 +111522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.24594816,1 +111520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.454369981,1 +111521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.604033529,1 +111519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.118609611,1 +111523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.93867488,1 +111524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.560026497,1 +111525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.11372601,1 +111526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.367074665,1 +111527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.532047036,1 +111529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.191854147,1 +111530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.559103566,1 +111528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.762487036,1 +111531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.407867661,1 +111532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.012326189,1 +111533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.028988417,1 +111534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.142462015,1 +111536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.487954007,1 +111535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.008338465,1 +111539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.279155647,1 +111538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.853133386,1 +111540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.052950714,1 +111537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.187003623,1 +111541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.570570963,1 +111542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.504152211,1 +111543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.401684172,1 +111545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.359248092,1 +111546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.992869811,1 +111547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.146444531,1 +111544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.381809549,1 +111551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.578015588,1 +111548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.633159475,1 +111550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.932162791,1 +111549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.41493678,1 +111553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.708606229,1 +111552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.39749949,1 +111554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.324734682,1 +111555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.568698022,1 +111556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.261002119,1 +111558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.385303538,1 +111559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.224169741,1 +111560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.46625027,1 +111561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.192082763,1 +111557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.54752656,1 +111562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.440997549,1 +111563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.072103672,1 +111565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.112408005,1 +111564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.354571838,1 +111567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.814264651,1 +111568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.303338564,1 +111566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.747742219,1 +111569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.56549891,1 +111570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.102594646,1 +111571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.105006406,1 +111573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.018060194,1 +111572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.881604124,1 +111574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.860639897,1 +111576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.136158707,1 +111575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.218440726,1 +111578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.168032475,1 +111577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.884856289,1 +111580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.781632066,1 +111579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.266003738,1 +111583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.401927133,1 +111581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.805291127,1 +111584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.779809474,1 +111585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.933479675,1 +111586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.43179927,1 +111587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.642217851,1 +111582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.59995643,1 +111589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.316081115,1 +111588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.544938819,1 +111590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.581269273,1 +111592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.988366915,1 +111591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.797069007,1 +111593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.039832838,1 +111594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.192384111,1 +111596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.787549049,1 +111595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.876891304,1 +111597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.252325725,1 +111598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.838997785,1 +111600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.228805285,1 +111601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.568424278,1 +111599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.072700852,1 +111602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.768494558,1 +111604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.683504085,1 +111603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.335286638,1 +111606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.760404123,1 +111608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.604073019,1 +111605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.969800755,1 +111609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.269588236,1 +111607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.479888595,1 +111610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.519142357,1 +111611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.9740537,1 +111612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.457817852,1 +111613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.890508506,1 +111614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.05306976,1 +111615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.8363393,1 +111616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.59719944,1 +111617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.70742032,1 +111618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.005178095,1 +111620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.20211778,1 +111621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.929692551,1 +111622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.698151839,1 +111619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,1.849701002,1 +111625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.35357128,1 +111623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.231347481,1 +111624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.320909277,1 +111626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.266205391,1 +111628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.249572368,1 +111627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.745788796,1 +111629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,8.576549769,1 +111630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.41138539,1 +111631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.714064854,1 +111632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.023194838,1 +111633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.319050454,1 +111634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.05810298,1 +111635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.796004874,1 +111636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.495603561,1 +111637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.14588863,1 +111639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.257634485,1 +111640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.047076081,1 +111641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.758099213,1 +111638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.478035631,1 +111642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.531548876,1 +111643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.175322489,1 +111644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.218769969,1 +111646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.141167861,1 +111645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.329067692,1 +111648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.799067159,1 +111647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.791360152,1 +111649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.016091788,1 +111650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.470342389,1 +111651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.335474789,1 +111652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.146811169,1 +111653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.754057754,1 +111656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.629737892,1 +111655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.795439941,1 +111654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.933303947,1 +111657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.869641866,1 +111658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.136296389,1 +111659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.335110226,1 +111660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.695854444,1 +111661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.980561728,1 +111663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.742231607,1 +111664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.878511443,1 +111665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.589592672,1 +111662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.391398187,1 +111666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.674523027,1 +111667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.92152193,1 +111668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.57663592,1 +111669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.743197276,1 +111670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.798620175,1 +111672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.311520377,1 +111671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.171899174,1 +111673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.702843506,1 +111674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.160211776,1 +111675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.925601014,1 +111677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.698034911,1 +111678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.29952801,1 +111679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.193144075,1 +111676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.423393344,1 +111680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.242681511,1 +111681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.239036462,1 +111682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.292192259,1 +111684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.657442591,1 +111685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.027578814,1 +111686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.355238762,1 +111683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.211219992,1 +111689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.627298099,1 +111687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.337277235,1 +111690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.47108506,1 +111688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.709646583,1 +111691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.319943809,1 +111692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.39271862,1 +111693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.422041449,1 +111694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.334814424,1 +111695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.030826274,1 +111696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.02247454,1 +111697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.197352869,1 +111698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.89800804,1 +111699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.226898068,1 +111700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.15807124,1 +111702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.656192044,1 +111701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.644109138,1 +111705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.88088781,1 +111703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.284654033,1 +111704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.245599518,1 +111706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.312349,1 +111708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.8006737,1 +111707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.911948015,1 +111710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.743014007,1 +111709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.230631152,1 +111711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.484445197,1 +111712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.452595751,1 +111713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.929733422,1 +111714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.616759543,1 +111716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.212288485,1 +111715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.921708453,1 +111719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.187217907,1 +111720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.393893157,1 +111717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.930183422,1 +111718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.03324975,1 +111721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.640788989,1 +111722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.149072071,1 +111723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.185372254,1 +111725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.199409129,1 +111726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.918297031,1 +111727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.302711828,1 +111724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.23250795,1 +111729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.382486854,1 +111728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.166651089,1 +111730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.930554019,1 +111732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.647304001,1 +111734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.073965197,1 +111733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.191953502,1 +111731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.781978137,1 +111735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,8.108913157,1 +111736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.914983572,1 +111737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.559555123,1 +111738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.423250444,1 +111739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.715463608,1 +111740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.692863765,1 +111741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.242268131,1 +111743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.186800694,1 +111744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.224385137,1 +111745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.633271162,1 +111746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.500826046,1 +111742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.910778702,1 +111747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.447402546,1 +111748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.165364905,1 +111749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.790105958,1 +111750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.955060815,1 +111751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.340579992,1 +111752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.73637888,1 +111753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.990656022,1 +111754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.313033186,1 +111755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.529526121,1 +111756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.090520831,1 +111757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.470504131,1 +111758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.068763839,1 +111759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.355634424,1 +111760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.62311858,1 +111761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.438608941,1 +111763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.195141803,1 +111764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.941153748,1 +111762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.98093328,1 +111765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.516993145,1 +111766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.492908767,1 +111768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.239400159,1 +111770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.493145611,1 +111769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.359009156,1 +111767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.567816537,1 +111771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.387148495,1 +111772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.821325831,1 +111773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.368277702,1 +111776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.904422891,1 +111777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.734143455,1 +111774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.034274919,1 +111775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.692046261,1 +111780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.128965662,1 +111779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.312439183,1 +111778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.623520447,1 +111782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.131929586,1 +111781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.792428663,1 +111784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.433090782,1 +111783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.397405719,1 +111786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.019155701,1 +111787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.204922789,1 +111788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.995078817,1 +111790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.156218685,1 +111789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.704088056,1 +111791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.458323563,1 +111785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.661332696,1 +111793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.390236345,1 +111795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.078467838,1 +111792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.375318246,1 +111794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.012202362,1 +111797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.981386638,1 +111796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.302654301,1 +111798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.988233451,1 +111799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.668530329,1 +111800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.124673495,1 +111801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.114843202,1 +111802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.429578741,1 +111803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.115868341,1 +111806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.684381285,1 +111805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.594288212,1 +111807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.049034662,1 +111804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.170142891,1 +111808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.326601467,1 +111810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.344605894,1 +111809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.147105163,1 +111811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.598792165,1 +111812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.974664745,1 +111813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.537740733,1 +111814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.026270939,1 +111815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.306812464,1 +111816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.414646091,1 +111817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.743369152,1 +111820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.854903606,1 +111818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.157088695,1 +111819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.529698391,1 +111821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.062880853,1 +111822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.414726945,1 +111823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.182363111,1 +111824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.995806322,1 +111825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.177276555,1 +111826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.582895247,1 +111828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.972996383,1 +111829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.222933269,1 +111830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.87655255,1 +111827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.999779068,1 +111831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.594358594,1 +111833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.643005136,1 +111832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.114878626,1 +111834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.272147752,1 +111835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.691449298,1 +111836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.894409265,1 +111837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.950617057,1 +111838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.113298654,1 +111839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.916492811,1 +111840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.527137231,1 +111841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.626849046,1 +111842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.244402212,1 +111843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.689945332,1 +111844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.240319194,1 +111845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.367413379,1 +111847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.23300893,1 +111848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.905836395,1 +111849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.168104511,1 +111851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.994250289,1 +111850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.498595896,1 +111852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.731407725,1 +111846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.01799741,1 +111855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.758983937,1 +111854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.065432432,1 +111853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.845334085,1 +111857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.529706757,1 +111858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.553096671,1 +111859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.184569688,1 +111856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.163045927,1 +111861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.401536557,1 +111860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.756736891,1 +111862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.894291002,1 +111863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.689060647,1 +111865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.674090614,1 +111866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.467947096,1 +111864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.336807893,1 +111868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.823254275,1 +111869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.86649074,1 +111870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.190675467,1 +111867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.448136997,1 +111871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.146105933,1 +111873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.081853761,1 +111872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,8.485494857,1 +111874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.409682587,1 +111876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.500753032,1 +111877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.326086283,1 +111875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.53140504,1 +111878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.169262223,1 +111879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.118354205,1 +111880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.18073007,1 +111881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.950784553,1 +111882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.977974737,1 +111883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.819231997,1 +111884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.737015495,1 +111885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.851617122,1 +111887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.716007479,1 +111888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.21636724,1 +111889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.772690596,1 +111886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.736241073,1 +111890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.657198492,1 +111891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.035368455,1 +111892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.42847007,1 +111893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.089173855,1 +111894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.212471436,1 +111895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.061096567,1 +111896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.267401156,1 +111897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.852025929,1 +111898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.77393168,1 +111899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.789292046,1 +111900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.952338001,1 +111901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.667892238,1 +111902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.964541383,1 +111904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.358062409,1 +111906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.495993506,1 +111907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.073772975,1 +111903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.347953782,1 +111908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.558460144,1 +111909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.74105797,1 +111910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.425282421,1 +111905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.014126148,1 +111911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.378282501,1 +111912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.278868727,1 +111913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.175809424,1 +111915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.812204274,1 +111917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.076082266,1 +111914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.154958361,1 +111916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.831851875,1 +111920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.766600293,1 +111921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.175325833,1 +111918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.915260753,1 +111919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.696392,1 +111923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.752426098,1 +111924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.690033184,1 +111925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.74224853,1 +111922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.242630652,1 +111926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.784657666,1 +111927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.644982711,1 +111928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.005884717,1 +111931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.395089357,1 +111932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.998087021,1 +111930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.147866615,1 +111929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.825941838,1 +111934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.144068418,1 +111936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.795793224,1 +111935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.670852813,1 +111933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.027368449,1 +111939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.2688075,1 +111938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.62258295,1 +111940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.516489456,1 +111937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.156263301,1 +111941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.267789674,1 +111942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.505500277,1 +111943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.809101977,1 +111945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.506647472,1 +111947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.975993612,1 +111944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.488294645,1 +111946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.978504647,1 +111950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.319388556,1 +111948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.198849685,1 +111949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.03980493,1 +111951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.261750491,1 +111952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.136068775,1 +111953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.857204024,1 +111954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.588725262,1 +111955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.611747987,1 +111957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.671032431,1 +111958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.193191515,1 +111956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.902677262,1 +111961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.938131917,1 +111960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.594381432,1 +111962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.063890904,1 +111959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.739119516,1 +111964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.841605374,1 +111965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.658596366,1 +111963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,8.20559929,1 +111966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.236698221,1 +111967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.358003471,1 +111969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.48439966,1 +111968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.700043542,1 +111971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.104720008,1 +111970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.306402124,1 +111973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.439143187,1 +111974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.427308373,1 +111975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.485177437,1 +111972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,2.51989794,1 +111976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.949414857,1 +111977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,8.123174537,1 +111979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.707048666,1 +111978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.354710051,1 +111980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.788759749,1 +111982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.445053645,1 +111981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.302105987,1 +111983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.219692494,1 +111984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.746695031,1 +111985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.509589194,1 +111986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.105449235,1 +111988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.475513752,1 +111987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.352376114,1 +111989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.469955967,1 +111990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.153340795,1 +111991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,7.042030597,1 +111992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.825753772,1 +111994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.487511941,1 +111995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,6.461469221,1 +111993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,5.389231834,1 +111997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.680267437,1 +111998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.540416003,1 +111999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.773938984,1 +112000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,4.14687508,1 +111996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,2,1,3.913354437,1 +121001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.652413385,1 +121002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.75874762,1 +121004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.748277343,1 +121005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.023181138,1 +121006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.86417882,1 +121007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.711370724,1 +121008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.1848862,1 +121009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.829830259,1 +121003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.908208861,1 +121010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.110975253,1 +121011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.213565292,1 +121012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.017499538,1 +121015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.657528875,1 +121016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.305813936,1 +121013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.067967287,1 +121014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.888851977,1 +121017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.475458199,1 +121018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.015856136,1 +121019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.706984667,1 +121020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.601360772,1 +121021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.75596651,1 +121022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.617476478,1 +121023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.86011573,1 +121024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.628690102,1 +121025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.446345988,1 +121026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.116232161,1 +121028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.520915829,1 +121029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.906286868,1 +121027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.004243985,1 +121030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.54963025,1 +121031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.02666774,1 +121032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.981014612,1 +121033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.903405171,1 +121034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.524425988,1 +121035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.347056259,1 +121036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.411723718,1 +121037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.1777187,1 +121038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.290240313,1 +121039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.123652602,1 +121040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.420226656,1 +121042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.522886063,1 +121043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.11502478,1 +121044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.804322519,1 +121045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.900188119,1 +121046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.826936114,1 +121041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.55016402,1 +121047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.046656645,1 +121048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.766623508,1 +121049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.541705989,1 +121050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.70132474,1 +121051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.401232145,1 +121052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.074465085,1 +121053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.257578718,1 +121055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.916108987,1 +121054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.903833052,1 +121056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.878312352,1 +121057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.760687809,1 +121058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.000358653,1 +121059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.569222194,1 +121060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.320067677,1 +121061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.240238346,1 +121064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.294308716,1 +121065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.978862583,1 +121063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,8.834363007,1 +121066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.790974507,1 +121067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.538410209,1 +121062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.874259295,1 +121069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.233856185,1 +121070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.594327611,1 +121068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.859890957,1 +121071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.119622726,1 +121072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.891775239,1 +121073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.858330197,1 +121075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.973940613,1 +121076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.898943182,1 +121074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.289503404,1 +121078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.498636581,1 +121077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.883462293,1 +121080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.224856637,1 +121079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.356717817,1 +121081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.63540087,1 +121082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.179455137,1 +121084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.137212248,1 +121086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.874122779,1 +121085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.484210343,1 +121087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.433230022,1 +121088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.408299561,1 +121083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.604343929,1 +121089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.59101809,1 +121090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.211276881,1 +121091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.927856369,1 +121093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.347812164,1 +121092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.503742001,1 +121096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.454957965,1 +121095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.683572243,1 +121094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.170195625,1 +121097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.89225991,1 +121099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.191860591,1 +121100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.077851069,1 +121101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.599990661,1 +121098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.393854312,1 +121102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.256573248,1 +121103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.159385703,1 +121106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.507763515,1 +121105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.764886934,1 +121107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.761722328,1 +121104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.254420679,1 +121109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.175758127,1 +121108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.199486065,1 +121110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.503543578,1 +121112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.659283743,1 +121111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.939400747,1 +121113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.668086176,1 +121114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.608651127,1 +121115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.407843553,1 +121117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.290381943,1 +121116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.683870789,1 +121119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.961231492,1 +121120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.464942917,1 +121121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.794174788,1 +121122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.038980866,1 +121118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.472819387,1 +121123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.919242165,1 +121125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.533494441,1 +121124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.954583214,1 +121126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.635391269,1 +121127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.22104329,1 +121128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.151377513,1 +121129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.340656983,1 +121130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.911851121,1 +121131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.876086807,1 +121132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.868992612,1 +121134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.317334527,1 +121133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.635040311,1 +121135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.163066979,1 +121136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.018686366,1 +121138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.59903262,1 +121139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.368750715,1 +121140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.618797912,1 +121137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.821785629,1 +121142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.552054557,1 +121143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.993329038,1 +121144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.779220554,1 +121145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.407013731,1 +121141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.598064839,1 +121147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.580315214,1 +121146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.226215379,1 +121148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.717786601,1 +121149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.665536008,1 +121151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.988969145,1 +121150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.496102822,1 +121152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.146305672,1 +121153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.510778806,1 +121154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.7726909,1 +121155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.633068524,1 +121157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.307505322,1 +121156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.654702585,1 +121158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.553195179,1 +121159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.559002186,1 +121161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.204527173,1 +121162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.926799312,1 +121163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.169209767,1 +121164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.915887196,1 +121160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.791250658,1 +121165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.751839046,1 +121166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.554089358,1 +121167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.652244758,1 +121170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.553828004,1 +121168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.198065122,1 +121171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.120419275,1 +121169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.467868797,1 +121172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.489208299,1 +121173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.050991443,1 +121174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.539250925,1 +121175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.242248422,1 +121176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.84700284,1 +121177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.92732533,1 +121178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.51108821,1 +121180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.446177408,1 +121181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.905594576,1 +121182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.709480068,1 +121179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.63331117,1 +121184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.295123893,1 +121183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.656253687,1 +121185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,1.802784876,1 +121186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.483473469,1 +121187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.043921513,1 +121188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.105644034,1 +121189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.142593744,1 +121191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.81374318,1 +121190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.409631975,1 +121192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.808897568,1 +121193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.187192877,1 +121194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.927137825,1 +121196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.684931127,1 +121195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.155712886,1 +121197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.441824427,1 +121198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.251555599,1 +121199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.39380302,1 +121201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.19478915,1 +121202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,1.988112618,1 +121200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.191388373,1 +121203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.689005841,1 +121204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.660934034,1 +121205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.944910809,1 +121206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.674432736,1 +121208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.551555389,1 +121207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.363947436,1 +121209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.224286105,1 +121210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.69953684,1 +121211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.336286244,1 +121212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.205711316,1 +121213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.717969619,1 +121214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.206451877,1 +121215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.026276776,1 +121216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.069744719,1 +121217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,9.035225649,1 +121219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.412379319,1 +121220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.517019151,1 +121221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.902270139,1 +121222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.89384845,1 +121218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.848135529,1 +121223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.107683844,1 +121224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.284046449,1 +121225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,8.673241024,1 +121228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.872213966,1 +121227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.192804373,1 +121226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.969337467,1 +121231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.673424752,1 +121229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.347268981,1 +121232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.829588106,1 +121233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.290814804,1 +121230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.679033696,1 +121234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.680262432,1 +121237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.709018012,1 +121235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.093092865,1 +121238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.24073465,1 +121239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.504671697,1 +121236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.110050502,1 +121241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.096473213,1 +121242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.471956121,1 +121243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.990967135,1 +121240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.553340778,1 +121246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.611414474,1 +121244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.145193968,1 +121245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.702671553,1 +121248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.41867035,1 +121247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.306924592,1 +121249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.906140752,1 +121250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.528637639,1 +121252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.149994565,1 +121253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.286845499,1 +121254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.395962425,1 +121251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.237007792,1 +121255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.302704081,1 +121256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.877626219,1 +121257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.42907211,1 +121258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.418507322,1 +121261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.630787464,1 +121260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.211549911,1 +121262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.749345955,1 +121259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.373608546,1 +121263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.382959126,1 +121264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.319346679,1 +121266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.844146722,1 +121265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.557782668,1 +121268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.024231948,1 +121267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.670507246,1 +121271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.802781427,1 +121272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.996491086,1 +121270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.584195053,1 +121269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.0894402,1 +121273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.055549079,1 +121275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.041588626,1 +121274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.96905614,1 +121276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.782673883,1 +121277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.758765209,1 +121279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.465941074,1 +121280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.667302802,1 +121278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.547851257,1 +121281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.654781303,1 +121282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.902807152,1 +121283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.589305182,1 +121284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.445669593,1 +121285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.737706468,1 +121286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.609719763,1 +121287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.247075643,1 +121289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.900126386,1 +121290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.915103828,1 +121288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.126167718,1 +121291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.849886064,1 +121294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.907769753,1 +121292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.66404804,1 +121293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.614747136,1 +121295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.612865438,1 +121297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.73232403,1 +121298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.89985391,1 +121296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.575940705,1 +121299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.381755648,1 +121301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.248814303,1 +121300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.530061521,1 +121302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.897265247,1 +121303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.0537159,1 +121304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.055826627,1 +121305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.07700825,1 +121307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.906903081,1 +121306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.523218489,1 +121308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.935705149,1 +121309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.687637039,1 +121311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.96256012,1 +121312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.157955362,1 +121313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.486202633,1 +121314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.29541185,1 +121310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.536811663,1 +121315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.235167954,1 +121316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.402083841,1 +121317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.179277796,1 +121319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.090269927,1 +121318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.103676151,1 +121320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.989664645,1 +121321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.031203822,1 +121322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.418647463,1 +121323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.70843504,1 +121325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.894953394,1 +121326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.193999004,1 +121327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,1.983493492,1 +121324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.670629654,1 +121328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.040187883,1 +121329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.949581397,1 +121331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.633279783,1 +121332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.642072696,1 +121333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.324876808,1 +121330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.917845076,1 +121334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.118171803,1 +121335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.451071549,1 +121338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.327954703,1 +121337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.997954372,1 +121336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.481624298,1 +121339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.502610508,1 +121340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.209243083,1 +121342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.596195564,1 +121343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.528250888,1 +121341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.361576477,1 +121344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.432329336,1 +121345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.138849542,1 +121346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.052848214,1 +121348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.611763729,1 +121347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.289350681,1 +121349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.506637745,1 +121351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.092560147,1 +121352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.533936329,1 +121350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.943362283,1 +121353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.036368159,1 +121355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.692174477,1 +121354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.59997543,1 +121356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.263862005,1 +121357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.932455762,1 +121358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.976135875,1 +121359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.369629594,1 +121361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.271185679,1 +121360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.706121032,1 +121363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.71739116,1 +121364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.122003167,1 +121365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.346879383,1 +121366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.086079687,1 +121362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.980169868,1 +121367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.142917223,1 +121368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.580999909,1 +121370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.825904301,1 +121369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.090542879,1 +121371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.781508492,1 +121373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.520231001,1 +121374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.64283291,1 +121372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.679886385,1 +121375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.906378127,1 +121376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.710321844,1 +121377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.8679317,1 +121379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.65170126,1 +121378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.707732955,1 +121382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.879242031,1 +121381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.315588584,1 +121383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.577386038,1 +121380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.409345362,1 +121384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.053861336,1 +121386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.047098362,1 +121387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.437171752,1 +121385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.441575273,1 +121388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.844185169,1 +121390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.879581384,1 +121389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.587547901,1 +121391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.486795169,1 +121392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.701046433,1 +121393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.053779663,1 +121394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.091959271,1 +121395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.350084627,1 +121396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.311154188,1 +121397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.536571245,1 +121399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.574337256,1 +121400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.286273159,1 +121398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.269065548,1 +121401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.880799252,1 +121403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.721239019,1 +121404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.623875587,1 +121405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.339662376,1 +121406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.496137685,1 +121402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.967656855,1 +121407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.911455098,1 +121408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.63395881,1 +121409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.923070558,1 +121411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.488135706,1 +121412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.15648151,1 +121410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.204485557,1 +121415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.744301545,1 +121413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.900920456,1 +121414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.780271351,1 +121416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.417568494,1 +121417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.627422518,1 +121419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.670632213,1 +121418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.619454609,1 +121421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.733181205,1 +121423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.249415307,1 +121422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.849493265,1 +121424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.599203977,1 +121420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.865522163,1 +121425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.832614718,1 +121426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.698562326,1 +121427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.314412565,1 +121429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.237952863,1 +121430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.53978184,1 +121428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.505420308,1 +121431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.703319037,1 +121432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.933072024,1 +121433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.169624318,1 +121434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.438236859,1 +121435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.387613164,1 +121436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.538637708,1 +121437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.126978092,1 +121438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.986840727,1 +121440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.069431834,1 +121439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.95970737,1 +121441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.61418853,1 +121443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.48207892,1 +121444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.553734789,1 +121445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.972123063,1 +121442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.167551594,1 +121447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.689719717,1 +121448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.614574241,1 +121446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.722065057,1 +121449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.071618411,1 +121450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.012899327,1 +121451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.343711,1 +121452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.026131783,1 +121453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.865422125,1 +121454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.543326755,1 +121455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.58007199,1 +121456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.776550679,1 +121457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.621053193,1 +121459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.083239997,1 +121458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.860455825,1 +121460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.930223265,1 +121462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.313730822,1 +121461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.223270507,1 +121464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.805423439,1 +121465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.440617138,1 +121463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,8.671061406,1 +121467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.153498992,1 +121466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.19380036,1 +121468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.146143944,1 +121470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.532837419,1 +121469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.613608374,1 +121471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.846108921,1 +121472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.871860927,1 +121473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.550400181,1 +121476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.132990534,1 +121474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.06567593,1 +121475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.342010205,1 +121478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.900350926,1 +121479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.372318656,1 +121477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.605377849,1 +121480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.098082206,1 +121481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.883803707,1 +121483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.305387376,1 +121484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.459484526,1 +121485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.83136683,1 +121486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.429557514,1 +121482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.742166869,1 +121488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.308337651,1 +121487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.529185298,1 +121489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.183462359,1 +121490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.445986797,1 +121491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.012710555,1 +121494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.718252269,1 +121492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.127117018,1 +121493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.345252813,1 +121495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.525161283,1 +121496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.271517575,1 +121497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.707686447,1 +121501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.908677948,1 +121500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.797512622,1 +121499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.731461312,1 +121498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.362266141,1 +121502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.534958025,1 +121504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.848791639,1 +121505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.93970518,1 +121503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.783378003,1 +121507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.968465834,1 +121506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.366751038,1 +121508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.695764402,1 +121509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.985318062,1 +121510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.798256435,1 +121511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.263416219,1 +121513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,1.918160549,1 +121514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.541414226,1 +121515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.539526265,1 +121516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.383929921,1 +121518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.292699679,1 +121517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.745239787,1 +121512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.91685259,1 +121521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.866374058,1 +121522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.071263248,1 +121519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.760714336,1 +121520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.453860603,1 +121524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,1.591657971,1 +121523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.79854743,1 +121525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.566407338,1 +121526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.233738213,1 +121527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.479051437,1 +121528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.704122886,1 +121529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.81554866,1 +121530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.339001727,1 +121532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.578412212,1 +121533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.650442323,1 +121534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.100398701,1 +121536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.509187572,1 +121537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.370839337,1 +121531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.350389916,1 +121535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.625441165,1 +121540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.804340684,1 +121538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.17435636,1 +121541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.315993384,1 +121539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,1.412823018,1 +121542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.185574804,1 +121543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.532376622,1 +121544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.983962556,1 +121545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.596606226,1 +121547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.862898873,1 +121548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.269584621,1 +121549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.727343461,1 +121546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.937052053,1 +121550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.4607071,1 +121552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.106965911,1 +121551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.087443758,1 +121554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.961780476,1 +121553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.041111527,1 +121555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.342773679,1 +121556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.433595357,1 +121557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.338633643,1 +121558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.232808019,1 +121559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.427454598,1 +121560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.046540285,1 +121561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.319753241,1 +121563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.192080138,1 +121564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.15475375,1 +121562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.567008189,1 +121565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.263055495,1 +121566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.09539185,1 +121567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.577159454,1 +121568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.128535272,1 +121569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.974324755,1 +121571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.293559458,1 +121572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.911286048,1 +121573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.690243466,1 +121570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.060090813,1 +121574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.344686285,1 +121576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.507185625,1 +121575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.362646314,1 +121578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.496804465,1 +121579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.991921638,1 +121577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.356888615,1 +121580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.390400566,1 +121581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.078162939,1 +121583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.863301065,1 +121582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.329506514,1 +121584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.791350168,1 +121585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.664155742,1 +121586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.484458223,1 +121587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.527360438,1 +121588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.812774354,1 +121589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.401717719,1 +121591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.755403842,1 +121593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.924877275,1 +121592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.832136388,1 +121594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.93723234,1 +121595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.728501655,1 +121590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.118469589,1 +121597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.925222907,1 +121596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.063081144,1 +121599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.536381277,1 +121601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.287166266,1 +121598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.139202472,1 +121600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.268272898,1 +121602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.774679465,1 +121604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.974821259,1 +121605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.113868138,1 +121603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.004904822,1 +121606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.08060432,1 +121607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.316199657,1 +121608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.580057827,1 +121609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.79824508,1 +121611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.571128744,1 +121612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.191150456,1 +121613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.689979377,1 +121610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.913697756,1 +121614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.927909762,1 +121615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.769769049,1 +121616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.042761785,1 +121617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.023690469,1 +121618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.445723447,1 +121619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.428788343,1 +121621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.895385855,1 +121622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.16307463,1 +121623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.768930585,1 +121620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.666409848,1 +121624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.934844643,1 +121625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.657138346,1 +121626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.440013173,1 +121627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.042918482,1 +121628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.373514236,1 +121629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.471964868,1 +121631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.325604283,1 +121630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.795914515,1 +121632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.184521573,1 +121633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.195242088,1 +121635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.171616783,1 +121636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.11127904,1 +121637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.238931627,1 +121638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.159244342,1 +121634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.60311214,1 +121639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.474263332,1 +121640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.718749032,1 +121641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.053657845,1 +121642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.299199635,1 +121643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,8.15573085,1 +121644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.094643534,1 +121645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.298053276,1 +121647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.792483609,1 +121646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.477370076,1 +121648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.053207144,1 +121649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.106210502,1 +121650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.174904412,1 +121651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.34218043,1 +121652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.782764168,1 +121653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.077504609,1 +121654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.469551471,1 +121656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.367839283,1 +121657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.16084266,1 +121658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.309434019,1 +121655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.349118215,1 +121660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.128760564,1 +121659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.424864975,1 +121661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.359850264,1 +121662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.93056103,1 +121663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.596057419,1 +121664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.656889575,1 +121665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.688586843,1 +121666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.166056364,1 +121667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.112015586,1 +121669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.813002798,1 +121668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.52364927,1 +121671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.357395802,1 +121670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.031585059,1 +121673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.56524015,1 +121674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.642368207,1 +121672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.826579588,1 +121676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.670680926,1 +121675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.745960073,1 +121679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.129769173,1 +121678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.349312671,1 +121677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.51767484,1 +121680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.522362547,1 +121681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.082981025,1 +121682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.870598903,1 +121684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.930574109,1 +121685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.988034783,1 +121686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.118341945,1 +121683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.172168231,1 +121687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.781185349,1 +121689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.025231775,1 +121688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.19099105,1 +121690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.035519168,1 +121694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.693309134,1 +121693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.47216422,1 +121691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.274217046,1 +121692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.172976976,1 +121696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.282292653,1 +121697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.47654177,1 +121698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.788884977,1 +121695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.551601808,1 +121699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.332119991,1 +121700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.618397864,1 +121701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.261544416,1 +121702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.058361869,1 +121703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.17655624,1 +121704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.999911742,1 +121705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.267451889,1 +121706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.77581683,1 +121707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.741206292,1 +121709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.179686395,1 +121708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.258721567,1 +121710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.052347402,1 +121711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.907672784,1 +121712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.854935912,1 +121713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.64410196,1 +121714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.608457183,1 +121716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.779506005,1 +121717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.9565985,1 +121715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.383829131,1 +121720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.842785752,1 +121719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.528818675,1 +121718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.479269672,1 +121723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.560480382,1 +121724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,1.965682186,1 +121722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.281489901,1 +121725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.042089642,1 +121726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.686953405,1 +121727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.382694569,1 +121721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.822222544,1 +121728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.293427885,1 +121729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.257366503,1 +121730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.132704446,1 +121732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.645727244,1 +121734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.844974026,1 +121731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.373966969,1 +121733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.339156815,1 +121737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.466185356,1 +121735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.165910722,1 +121736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.680742422,1 +121738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.667692451,1 +121739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.238474865,1 +121741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.775416581,1 +121740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.317312201,1 +121742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.756267303,1 +121744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.53204732,1 +121745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.519215208,1 +121746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.185248157,1 +121747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.575544865,1 +121748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.307468323,1 +121743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.203607599,1 +121749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.149133352,1 +121751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.240712205,1 +121752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.422278565,1 +121750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.363884228,1 +121753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.953660372,1 +121754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.014758246,1 +121755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.643593429,1 +121756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.248639497,1 +121758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.164517557,1 +121757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.359021189,1 +121759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.095585792,1 +121761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.884396089,1 +121760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.521723365,1 +121762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.41164624,1 +121764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.817473627,1 +121765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.889446248,1 +121766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.243131248,1 +121763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.910037671,1 +121767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.498249771,1 +121768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.022878439,1 +121769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.662303329,1 +121770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.517840458,1 +121771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.3496217,1 +121772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.352965608,1 +121773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.094600802,1 +121774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.370009573,1 +121775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.104753849,1 +121776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.289739224,1 +121777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.787905635,1 +121779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.85228391,1 +121778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.588113787,1 +121780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.844185749,1 +121781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.997166948,1 +121782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.321004357,1 +121783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.429704009,1 +121785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.020807919,1 +121784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.563984039,1 +121786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.407224963,1 +121787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.98466933,1 +121789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.31676633,1 +121788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.031766811,1 +121790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.450204553,1 +121792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.469788228,1 +121794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.894306627,1 +121793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.697046878,1 +121791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.094875826,1 +121795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.756480312,1 +121798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.527578376,1 +121797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.00200324,1 +121796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.736204257,1 +121800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.796591439,1 +121799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.824433774,1 +121802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.583903468,1 +121803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.570971935,1 +121804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.325131414,1 +121805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.26292862,1 +121806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,1.736668956,1 +121801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.920601258,1 +121807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,8.734620664,1 +121808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.92572252,1 +121809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.230649934,1 +121811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.757265325,1 +121812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.587473573,1 +121810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.18618257,1 +121814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.698880793,1 +121813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.06542038,1 +121816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.648487547,1 +121815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.905916474,1 +121817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.184467039,1 +121818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.343048914,1 +121821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.060815731,1 +121820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.247627591,1 +121819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.75058333,1 +121822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.078890731,1 +121824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.424501978,1 +121823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.086623011,1 +121826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.4638994,1 +121827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.40688257,1 +121829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.989582998,1 +121828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.640189761,1 +121825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.098540238,1 +121830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.995231688,1 +121833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.909941016,1 +121832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.43146157,1 +121831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.396790559,1 +121834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.152834771,1 +121836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.343137236,1 +121835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,8.267816961,1 +121837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.729325603,1 +121838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.52529469,1 +121839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.347107773,1 +121840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.022975786,1 +121841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.871997983,1 +121842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.547172408,1 +121845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.932508871,1 +121846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.43133986,1 +121843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.369108343,1 +121844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.980627385,1 +121847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.375698891,1 +121848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.504154359,1 +121849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.712680085,1 +121851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.392565644,1 +121850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.173513104,1 +121852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.235880968,1 +121853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.839735839,1 +121854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.780460247,1 +121855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.489352446,1 +121856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.658305017,1 +121857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.494376791,1 +121858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.87356665,1 +121859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.115729074,1 +121861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.491884225,1 +121860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.921540809,1 +121862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.995736206,1 +121864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.897081934,1 +121866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.404306434,1 +121865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.734234253,1 +121863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.097331818,1 +121867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,1.612115313,1 +121868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.221519209,1 +121869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.144852779,1 +121870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.2305253,1 +121871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.985814815,1 +121872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.170850294,1 +121873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.092310565,1 +121876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.262892651,1 +121875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.201766284,1 +121874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.022649798,1 +121877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.157158487,1 +121878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.404855544,1 +121879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.994725193,1 +121881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.848234368,1 +121882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.049867182,1 +121883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.285381748,1 +121884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.19105283,1 +121885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.593389187,1 +121880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.889967917,1 +121886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.778049585,1 +121887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.578472751,1 +121888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.846966971,1 +121889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.259625531,1 +121890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.049716572,1 +121891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.36667378,1 +121892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.546451941,1 +121893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.579367038,1 +121894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.653668916,1 +121895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.62159858,1 +121896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.474869155,1 +121897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.566857461,1 +121898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.920487199,1 +121899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.675435695,1 +121900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.584389104,1 +121902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.200237421,1 +121903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.865769824,1 +121904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.11069862,1 +121905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.816119376,1 +121901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.95087712,1 +121906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.484665112,1 +121907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.948823153,1 +121909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.892338405,1 +121908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.479223275,1 +121911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.680927679,1 +121910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.630695619,1 +121912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.520235153,1 +121913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.236086293,1 +121914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.493724268,1 +121915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.166210059,1 +121917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.277287963,1 +121918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.358904781,1 +121919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.288050679,1 +121920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.31773887,1 +121916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.680359765,1 +121921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.695877455,1 +121922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.654812006,1 +121924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.015938862,1 +121923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.933587461,1 +121925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.273375708,1 +121926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.595366628,1 +121927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.490212137,1 +121928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.992840375,1 +121929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.462252382,1 +121930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.919197876,1 +121932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.626901063,1 +121931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.130726912,1 +121933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.799024349,1 +121934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.886769125,1 +121935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.983868053,1 +121937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.479845081,1 +121936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.909127179,1 +121938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.061743437,1 +121939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.825891058,1 +121940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.24223862,1 +121942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.951486088,1 +121943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.605069991,1 +121941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.87749576,1 +121944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.98027905,1 +121945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.316847513,1 +121946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.038511642,1 +121947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.327396845,1 +121948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.766970185,1 +121949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.125704901,1 +121950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.800700669,1 +121951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.339695231,1 +121952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.982754048,1 +121953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.040041925,1 +121954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.74320642,1 +121956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.322419949,1 +121957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.230220625,1 +121958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.414448836,1 +121959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.512261301,1 +121955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.684572876,1 +121960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.104195583,1 +121961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.842312175,1 +121963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.70434506,1 +121964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.360987295,1 +121965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.443274878,1 +121962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.951175592,1 +121966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.240926977,1 +121967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.273170962,1 +121968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.960794837,1 +121969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.601375963,1 +121970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.26238843,1 +121972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.715371521,1 +121971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.800383914,1 +121973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.456697884,1 +121974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.558348524,1 +121975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.19946009,1 +121976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,7.086513328,1 +121978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.723704609,1 +121979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.884973334,1 +121980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.589911749,1 +121981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.750609274,1 +121982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.554128434,1 +121977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.443223691,1 +121983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.096615984,1 +121987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.490362046,1 +121984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,2.813453236,1 +121986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.355237304,1 +121985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.578841712,1 +121988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,3.119763337,1 +121989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.13993118,1 +121990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.297603315,1 +121991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.109013772,1 +121992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.034101054,1 +121993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.307708616,1 +121995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.754609601,1 +121994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,4.784149029,1 +121996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,6.960009531,1 +121997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.510377709,1 +121998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.289144864,1 +122000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.445549819,1 +121999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,2,1,5.650669013,1 +131002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.347550792,1 +131001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.275852621,1 +131003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.583610011,1 +131004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.661990279,1 +131005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.648514052,1 +131007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.445292452,1 +131008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.200819001,1 +131006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.374473735,1 +131009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.67223138,1 +131010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.004530458,1 +131011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.470162902,1 +131012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.270807894,1 +131013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.253396456,1 +131015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.70414759,1 +131017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.042301739,1 +131014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.189644938,1 +131018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.917193392,1 +131016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.242486553,1 +131019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.308138114,1 +131021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.812681592,1 +131022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.341915865,1 +131020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.870109564,1 +131023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.84203794,1 +131025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.908597485,1 +131024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.260476168,1 +131027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.384041394,1 +131026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.320415586,1 +131028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.451716063,1 +131029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.170083199,1 +131031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.481789913,1 +131030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.095902536,1 +131033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.330385081,1 +131034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.019512543,1 +131035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.01566204,1 +131036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.457168238,1 +131032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.613051553,1 +131037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.908387325,1 +131040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.057680627,1 +131039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.875775191,1 +131038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.410870208,1 +131041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.195594254,1 +131042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.810980448,1 +131043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.87135471,1 +131045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.48344588,1 +131044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.619350029,1 +131046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.398604576,1 +131047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.763183612,1 +131048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.46598872,1 +131049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.872414395,1 +131051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.902666719,1 +131050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.193185828,1 +131052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.738638101,1 +131053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.941331398,1 +131055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.990855371,1 +131057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.494780243,1 +131054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.579027958,1 +131056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.220972899,1 +131060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.923107752,1 +131058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.753816965,1 +131061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.792429024,1 +131059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.295310309,1 +131062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.076690039,1 +131063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.638863897,1 +131064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.431031315,1 +131065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.338727385,1 +131066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.648880558,1 +131067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.627767811,1 +131068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.570050485,1 +131069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.607262038,1 +131071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.459031783,1 +131072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.900179118,1 +131070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.744246134,1 +131074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.603541635,1 +131075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.141644214,1 +131076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.130872677,1 +131073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.206829215,1 +131077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.250473396,1 +131078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.884520864,1 +131079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.88151822,1 +131081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.53208343,1 +131082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.810929558,1 +131083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.315756325,1 +131080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.995253454,1 +131085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.749120348,1 +131086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.595743395,1 +131084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.509826186,1 +131087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.60316518,1 +131088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.890245268,1 +131089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.680507484,1 +131090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.794593152,1 +131092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.382527501,1 +131093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.794030999,1 +131094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.939259062,1 +131095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.784162937,1 +131091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.22910216,1 +131096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.587184456,1 +131097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.644039157,1 +131101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.614291349,1 +131100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.554573282,1 +131099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.883287767,1 +131098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.314908081,1 +131103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.323166758,1 +131104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.765091884,1 +131102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.248271545,1 +131105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.546884929,1 +131107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.920428216,1 +131106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.450580014,1 +131108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.20121586,1 +131109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.36889095,1 +131110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.421341935,1 +131112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.172875388,1 +131111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.882119633,1 +131113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.543750427,1 +131114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.891788029,1 +131115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.301724855,1 +131117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.719624276,1 +131116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.585987904,1 +131118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.173883945,1 +131119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.870939776,1 +131120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.629795608,1 +131123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.401871898,1 +131122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.208252891,1 +131121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.501244423,1 +131124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.799868556,1 +131125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.478281951,1 +131127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.346248936,1 +131126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.119340575,1 +131128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.607107566,1 +131129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.750456595,1 +131130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.035014335,1 +131131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.715448368,1 +131132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.18053058,1 +131133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.342127038,1 +131134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.689581549,1 +131136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.395569017,1 +131137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.14660958,1 +131135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.063358523,1 +131139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.982015499,1 +131138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.358825718,1 +131140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.527325503,1 +131141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.519926807,1 +131142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.973338962,1 +131143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.197294695,1 +131144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.971654298,1 +131147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.864150745,1 +131146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.440241697,1 +131145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.589803981,1 +131148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.735897295,1 +131150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.077340991,1 +131149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.98907553,1 +131152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.603674194,1 +131153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.289400421,1 +131154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.18501545,1 +131155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.623880754,1 +131151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.87153535,1 +131156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.294849239,1 +131157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.264731444,1 +131158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.421254785,1 +131160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.617704107,1 +131161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.095415411,1 +131162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.303363157,1 +131159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.564410333,1 +131163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.609474079,1 +131164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.206835309,1 +131165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.292437683,1 +131166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.851533624,1 +131167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.890780434,1 +131168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.375343712,1 +131170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.391436062,1 +131169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.588069746,1 +131171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.109177651,1 +131172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.546475406,1 +131174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.291109553,1 +131175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.463099331,1 +131176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.372961702,1 +131177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.6324974,1 +131178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.363960976,1 +131173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.045277179,1 +131180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.581274348,1 +131179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.202183524,1 +131182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.120211911,1 +131181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.280382386,1 +131184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.759957582,1 +131183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.303751665,1 +131185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.748762924,1 +131186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,1.838720881,1 +131187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.92525928,1 +131188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.329268974,1 +131190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.886253974,1 +131189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.629947855,1 +131191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.255812387,1 +131192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.339654588,1 +131193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.966404101,1 +131194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.293815011,1 +131195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.007356139,1 +131196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.124930712,1 +131197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.046350935,1 +131198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.45074308,1 +131199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.674204148,1 +131200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.569657624,1 +131201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.557368519,1 +131203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.746312365,1 +131204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.364422492,1 +131205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.319070315,1 +131202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.712120874,1 +131207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.261228412,1 +131206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.313776118,1 +131208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.379014394,1 +131209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.480521265,1 +131210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.899676089,1 +131212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.94193049,1 +131213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.007514673,1 +131214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.965988321,1 +131215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.259330332,1 +131216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.594310958,1 +131211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.468278239,1 +131217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.831327886,1 +131218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.324082516,1 +131219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.182693248,1 +131221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.268026387,1 +131222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.323779935,1 +131220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.107021209,1 +131223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.535903231,1 +131224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.134620697,1 +131226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.85863772,1 +131225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.533170334,1 +131228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.984794632,1 +131229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.708897976,1 +131227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.441292931,1 +131230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.27217107,1 +131231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.76132614,1 +131234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.234321386,1 +131235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.130524261,1 +131233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.504133527,1 +131232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.119493928,1 +131236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.182922431,1 +131237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.839547902,1 +131238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.225706554,1 +131239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.456445212,1 +131240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.295211416,1 +131242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.554296778,1 +131241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.604701823,1 +131243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.596678929,1 +131244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.892714781,1 +131245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.120764554,1 +131246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.940799041,1 +131247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.168329976,1 +131248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.281691674,1 +131250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.499685078,1 +131251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.550193915,1 +131249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.645258469,1 +131252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.066041505,1 +131253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.280507326,1 +131255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.394933291,1 +131256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.3400706,1 +131257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.617467059,1 +131254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.958186524,1 +131259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.477256754,1 +131260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.986573171,1 +131261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.783504081,1 +131263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.175681008,1 +131262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.399447367,1 +131264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.940547626,1 +131258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.070528111,1 +131265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.549893633,1 +131266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.982940336,1 +131267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.853512061,1 +131269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.483166362,1 +131270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.340977991,1 +131268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.848625412,1 +131271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,1.952211179,1 +131272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.681892852,1 +131275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.724533897,1 +131274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.417022711,1 +131273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.044302308,1 +131276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.794964865,1 +131277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.646026206,1 +131278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.963949369,1 +131279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.582666293,1 +131280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.876204545,1 +131281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.861969004,1 +131283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.100438642,1 +131284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.777696153,1 +131285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.459939521,1 +131286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.767470201,1 +131282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.064560599,1 +131287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.272045556,1 +131289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.408700888,1 +131290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.095236499,1 +131288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.942060981,1 +131291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.444171366,1 +131294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.110202489,1 +131293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.628653496,1 +131295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.47974033,1 +131296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.47649123,1 +131292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.476279672,1 +131297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.794770668,1 +131298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.272844524,1 +131299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.353688483,1 +131300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,8.792566868,1 +131301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.773528105,1 +131303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.346410734,1 +131304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.71190594,1 +131302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.47412046,1 +131307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.148972255,1 +131305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.9436514,1 +131308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.001002284,1 +131306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.155803905,1 +131310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.484653364,1 +131309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.996758727,1 +131311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.675415686,1 +131312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.751892843,1 +131313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.6216614,1 +131315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.258240322,1 +131314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.686980503,1 +131316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.907692157,1 +131318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.654006287,1 +131317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.388982668,1 +131319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.213978643,1 +131320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.472802252,1 +131323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,9.158474262,1 +131322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.844493302,1 +131324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.304263607,1 +131325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.263544928,1 +131321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.38806102,1 +131326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.327724045,1 +131327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.448308928,1 +131329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.323068865,1 +131331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.627698021,1 +131330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.334825376,1 +131328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.324530367,1 +131332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.194839399,1 +131335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.396454329,1 +131334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.939205794,1 +131333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.431991323,1 +131336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.644475801,1 +131338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.32966518,1 +131339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.85503547,1 +131340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.453269566,1 +131337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.969567559,1 +131341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.659364825,1 +131342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.593270378,1 +131343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.419600233,1 +131344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.260524053,1 +131347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.666472983,1 +131346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.218977326,1 +131345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.578177605,1 +131348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.1805441,1 +131349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.206174616,1 +131350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.432076262,1 +131351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.22998383,1 +131352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.34794741,1 +131353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.165519034,1 +131354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.625169503,1 +131355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.593379345,1 +131357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.611866385,1 +131359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.947965515,1 +131358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.034173288,1 +131356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.14240065,1 +131360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.567056827,1 +131362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.120381207,1 +131363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.084681287,1 +131361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.185522119,1 +131366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.856533655,1 +131364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.60918631,1 +131365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.857353124,1 +131367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.204992847,1 +131369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.235108001,1 +131370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.163702519,1 +131368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.799369468,1 +131371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.483789627,1 +131372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.961998498,1 +131374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.282194509,1 +131373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.107728787,1 +131375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.322281237,1 +131376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.061283969,1 +131378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.862022554,1 +131379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.911454849,1 +131377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.650030099,1 +131380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.971286642,1 +131383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.793780256,1 +131382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.018250602,1 +131384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.616447925,1 +131381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.085257534,1 +131386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.85019204,1 +131387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.680727258,1 +131385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.897660939,1 +131389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.227139945,1 +131391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.4456966,1 +131390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.536734048,1 +131388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.370875509,1 +131392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,1.673427244,1 +131393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.684265112,1 +131394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.276581812,1 +131395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.184922621,1 +131396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.453322017,1 +131398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.256008474,1 +131397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.844332996,1 +131399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.077012925,1 +131400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.13445829,1 +131401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.693517535,1 +131402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.731921307,1 +131404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.03036936,1 +131405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.876359884,1 +131406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.46518421,1 +131403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.249987393,1 +131407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.03767764,1 +131408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.164208391,1 +131410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.877072429,1 +131409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.256848896,1 +131411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.301615223,1 +131412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.430672197,1 +131413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.183725998,1 +131414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.79108504,1 +131415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.28691962,1 +131416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.432822677,1 +131417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.957152453,1 +131418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.229605429,1 +131419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.107806488,1 +131420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.316483311,1 +131422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.543182271,1 +131423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.740586085,1 +131424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.686500287,1 +131421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.261731922,1 +131425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.960475938,1 +131427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.575798031,1 +131426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.384114398,1 +131428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.044663495,1 +131429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.111443129,1 +131431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.108772005,1 +131430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.550789407,1 +131432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.185051428,1 +131434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.62351458,1 +131433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.95543871,1 +131435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.580849864,1 +131437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.141390036,1 +131438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.838726511,1 +131439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.736793415,1 +131436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.615968381,1 +131441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.269396322,1 +131440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.770628923,1 +131442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.6428882,1 +131443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.625746338,1 +131445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.553232631,1 +131446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.086129922,1 +131447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.406215633,1 +131448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.195161839,1 +131444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.9955829,1 +131449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.111263409,1 +131450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.615030805,1 +131451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.294965046,1 +131453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.812744271,1 +131452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.629793969,1 +131454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.583560329,1 +131457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.270022353,1 +131455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.162557737,1 +131456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.050623039,1 +131458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.736822079,1 +131459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.23610004,1 +131460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.80989152,1 +131461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.021044217,1 +131462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.931926424,1 +131464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.221746177,1 +131465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.933213108,1 +131466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,1.97817938,1 +131467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.088766726,1 +131463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.182237727,1 +131468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.002608486,1 +131470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.307690886,1 +131471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.251098261,1 +131472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.504378956,1 +131469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.806240675,1 +131474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.223687107,1 +131473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.62167053,1 +131475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.512423761,1 +131476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.180409589,1 +131477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.764648312,1 +131478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.893846996,1 +131479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.316246099,1 +131480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.869595912,1 +131482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.056185736,1 +131483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.403826096,1 +131485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.486398349,1 +131481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.742052349,1 +131484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.206853362,1 +131486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.47163674,1 +131488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.610555449,1 +131487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.541906384,1 +131490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.775634109,1 +131491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.40020987,1 +131492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.257916588,1 +131494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.964797845,1 +131493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.038308971,1 +131495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.863521825,1 +131489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.402329791,1 +131496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.510338002,1 +131497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.214254119,1 +131498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.778036046,1 +131499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.323566063,1 +131501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.36420256,1 +131502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.173887152,1 +131503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.498684784,1 +131500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.52526806,1 +131504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.983453284,1 +131505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.981870875,1 +131507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.946597011,1 +131506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.997518637,1 +131508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.449889545,1 +131509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.972084592,1 +131510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.910696161,1 +131512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.161679812,1 +131513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.878841211,1 +131514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.274228796,1 +131515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.094302948,1 +131511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.67495789,1 +131516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.131244443,1 +131519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.297988522,1 +131517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.263110249,1 +131518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.190988666,1 +131520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.133976248,1 +131522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.696451089,1 +131523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.125060631,1 +131524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.039689406,1 +131521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.54081231,1 +131525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.243500081,1 +131526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.418543203,1 +131527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.219755835,1 +131529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.830819782,1 +131530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.306110196,1 +131528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.835740373,1 +131531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.58657485,1 +131534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.494569838,1 +131535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.578104213,1 +131532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.231524021,1 +131533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.387617167,1 +131538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.319427629,1 +131537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.156809338,1 +131539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.371389435,1 +131536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.90429094,1 +131541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.48915512,1 +131542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.345878638,1 +131540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.989772426,1 +131543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.146323363,1 +131545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.041790895,1 +131544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.703421768,1 +131546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.710657767,1 +131549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.40265021,1 +131548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.55421668,1 +131550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.000528558,1 +131547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.786302031,1 +131551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.944909059,1 +131552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.536278131,1 +131553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.974446354,1 +131554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.85393134,1 +131555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.965409278,1 +131556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.546301045,1 +131557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.490957048,1 +131558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.034235922,1 +131559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.245439456,1 +131560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.848226874,1 +131561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.705521507,1 +131562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.508200793,1 +131563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.222132747,1 +131564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.700673788,1 +131567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.934215665,1 +131568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.720084565,1 +131566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,8.301126325,1 +131565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.984228705,1 +131569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.157102239,1 +131570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.301505134,1 +131571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.544954098,1 +131573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.229604868,1 +131574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.184433623,1 +131572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.487211301,1 +131575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.645111636,1 +131576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.40391477,1 +131577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.781855341,1 +131578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.176756375,1 +131579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.993639036,1 +131580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.4504066,1 +131581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.890229933,1 +131582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.000569256,1 +131583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.567430219,1 +131584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.320643894,1 +131585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.748507651,1 +131586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.626146852,1 +131587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.020436562,1 +131589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.186524998,1 +131588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.987122577,1 +131593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.695649154,1 +131592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.325788653,1 +131591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.687858723,1 +131590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.089824816,1 +131595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.287939736,1 +131594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.517740454,1 +131597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.77520852,1 +131598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.288772068,1 +131599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.780554621,1 +131600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.957167912,1 +131596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.516476828,1 +131601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.90192738,1 +131602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.698688301,1 +131603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.446977002,1 +131604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,8.694630399,1 +131605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.825795861,1 +131606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.023918452,1 +131608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.564538373,1 +131607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.91287579,1 +131610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,1.809716579,1 +131609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.386447992,1 +131611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.115504162,1 +131612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.814883082,1 +131613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.857637439,1 +131614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.033656545,1 +131616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.09509852,1 +131617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.390445819,1 +131618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.954022166,1 +131619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.194799406,1 +131615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.980036796,1 +131620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.135656516,1 +131621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.569550619,1 +131622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.832253535,1 +131625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.539664296,1 +131624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.144253706,1 +131623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.067304353,1 +131626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.120175276,1 +131627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.789082457,1 +131628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.425845239,1 +131629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.240754887,1 +131630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.496004865,1 +131632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.852881693,1 +131631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.87029515,1 +131634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.103421331,1 +131636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.73555043,1 +131635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.25557783,1 +131637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.298649625,1 +131639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.768084006,1 +131633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.838223266,1 +131638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.180958747,1 +131640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.298111554,1 +131642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.274916905,1 +131643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.896073379,1 +131641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.169748771,1 +131644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.9326036,1 +131645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.657370161,1 +131646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.973145279,1 +131647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.65495616,1 +131648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.948726281,1 +131650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.352895479,1 +131649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.370187913,1 +131651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.957057131,1 +131652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.755824525,1 +131655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.711938056,1 +131653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.250088173,1 +131654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.4854467,1 +131656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.90694102,1 +131658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.31734412,1 +131660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.904165194,1 +131659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.397399188,1 +131661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.775250682,1 +131662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.580414874,1 +131657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.673117448,1 +131663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.498920719,1 +131664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.925472428,1 +131665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.419131189,1 +131667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.554676383,1 +131666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.276054656,1 +131668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.718273612,1 +131671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.444902871,1 +131669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.077449592,1 +131672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.515153749,1 +131673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.541831638,1 +131674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.980110432,1 +131675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.288927746,1 +131676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.056363303,1 +131670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.383523131,1 +131677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.183584172,1 +131678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.949774742,1 +131679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.298373552,1 +131680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.503464646,1 +131681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.016735126,1 +131683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.263955229,1 +131682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.692550363,1 +131684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.319061428,1 +131686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.958440737,1 +131685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.879855659,1 +131687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.207663437,1 +131688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.647802857,1 +131690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.384134916,1 +131691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.274882673,1 +131692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.846443152,1 +131693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.502958675,1 +131694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.801306761,1 +131695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.847149837,1 +131689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.571171949,1 +131696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.096530675,1 +131698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.732058701,1 +131697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.821334381,1 +131699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.175761409,1 +131702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.139053942,1 +131701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.885769522,1 +131700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.274508183,1 +131703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.987811847,1 +131704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.666943436,1 +131706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.34202193,1 +131705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.789860367,1 +131707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.565636301,1 +131708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.393655478,1 +131709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.670579607,1 +131710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.239594425,1 +131711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.042685864,1 +131714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,8.135967874,1 +131713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.259747286,1 +131712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.712943347,1 +131715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.771148615,1 +131716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.277515982,1 +131717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.027537279,1 +131718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.532875083,1 +131720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.50001031,1 +131719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.106499598,1 +131721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.450790004,1 +131722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.94819139,1 +131723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.758565054,1 +131724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.925897411,1 +131725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.267974574,1 +131726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.119887565,1 +131727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.369618702,1 +131728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.974485577,1 +131731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.822098547,1 +131732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.756269521,1 +131730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.880897461,1 +131729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.652151645,1 +131733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.302520317,1 +131735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.381967893,1 +131736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.6840862,1 +131737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.952175285,1 +131734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.094765577,1 +131738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.805482698,1 +131739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.260579016,1 +131740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.75954288,1 +131742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.208872808,1 +131741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.060796851,1 +131743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.228583706,1 +131744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.606505516,1 +131746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.840345835,1 +131745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.458935329,1 +131748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.568762278,1 +131747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.159481422,1 +131749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.869700727,1 +131750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.05661559,1 +131751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.199328472,1 +131752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.284756577,1 +131754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.221316475,1 +131755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.808962436,1 +131756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.514630405,1 +131757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.427897501,1 +131753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.403116228,1 +131758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.797823265,1 +131760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.712591726,1 +131759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.136238239,1 +131761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.539503776,1 +131762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.288721728,1 +131764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.365872541,1 +131763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.072248992,1 +131765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.45549323,1 +131766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.152708783,1 +131768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.795778326,1 +131767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.473561196,1 +131769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.448631608,1 +131770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.870636466,1 +131771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.720696454,1 +131773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.780353342,1 +131774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.60855869,1 +131772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.671208645,1 +131775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.650707171,1 +131777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.564217813,1 +131778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.769473334,1 +131776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.147276614,1 +131779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.719258716,1 +131780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.311367531,1 +131782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.251900323,1 +131781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.835983232,1 +131783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,1.440866997,1 +131785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.642274509,1 +131784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.075420964,1 +131787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.88032174,1 +131786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.985712333,1 +131789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.846542086,1 +131788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.482589198,1 +131790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.912229382,1 +131791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.192563634,1 +131792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.561534422,1 +131794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.839941303,1 +131793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.26191881,1 +131795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.572715188,1 +131796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.903866591,1 +131797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.67732546,1 +131798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.038047105,1 +131799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.765915272,1 +131800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.144542067,1 +131801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.539569836,1 +131802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.749836774,1 +131804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.149797285,1 +131803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.664978276,1 +131805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.207766488,1 +131806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.530678112,1 +131807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.348112523,1 +131809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.861747356,1 +131808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.179659282,1 +131810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.708214682,1 +131811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.951137277,1 +131814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.559338714,1 +131812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.707596875,1 +131815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.511127895,1 +131816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.683310195,1 +131817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.613826338,1 +131818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.655424138,1 +131813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.250206127,1 +131819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.699703364,1 +131820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.27062141,1 +131821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.724274334,1 +131824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.688543182,1 +131825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.02208769,1 +131822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.295141867,1 +131823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.342851084,1 +131826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.487605875,1 +131827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.802867438,1 +131828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.388404013,1 +131829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.981112405,1 +131830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,1.818344481,1 +131831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.152240168,1 +131833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.448510598,1 +131834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.229530901,1 +131835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.403740219,1 +131836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.29469249,1 +131837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.08441261,1 +131838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.882238004,1 +131832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.839757689,1 +131839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.703605776,1 +131840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.853080246,1 +131841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.028999132,1 +131843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.280955204,1 +131842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.733274397,1 +131844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.000676804,1 +131845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.443040355,1 +131846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.850968194,1 +131847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.75899974,1 +131848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.832772869,1 +131849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.964074075,1 +131850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.608160434,1 +131851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.290136078,1 +131852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.637541068,1 +131854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.959560541,1 +131855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.623703236,1 +131853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.85230288,1 +131856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.213464418,1 +131857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.256199878,1 +131860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.68298401,1 +131859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.374815769,1 +131861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.558825244,1 +131858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.511758869,1 +131862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.575142701,1 +131863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.027849756,1 +131864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.133534062,1 +131866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.648659444,1 +131865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.466718592,1 +131867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.077485342,1 +131868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.180872197,1 +131869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.619360484,1 +131870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.207972083,1 +131872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.971721822,1 +131873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.815030505,1 +131871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.409571873,1 +131874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.822112422,1 +131875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.198220966,1 +131876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.704145434,1 +131877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.861441451,1 +131878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.083066373,1 +131879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.267355312,1 +131880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.151866879,1 +131881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.647673324,1 +131883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.31932197,1 +131884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.058451407,1 +131885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.152539208,1 +131882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.671222751,1 +131886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.422937146,1 +131888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.962806556,1 +131889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.100273966,1 +131887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.159523847,1 +131890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.100360104,1 +131892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.292216897,1 +131891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.446185307,1 +131893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.85173306,1 +131894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.086433806,1 +131895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.665162184,1 +131896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.353437802,1 +131897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.064422425,1 +131898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.265308166,1 +131901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,10.28443547,1 +131900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.001918848,1 +131902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.114084989,1 +131899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.265916949,1 +131903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.514983799,1 +131905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.98975329,1 +131906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.332070755,1 +131907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.909083043,1 +131908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.648282572,1 +131909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.837113136,1 +131904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.227820824,1 +131910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.802662451,1 +131911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.759326854,1 +131912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.435133092,1 +131913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.930369927,1 +131914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.393232398,1 +131915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.919928856,1 +131916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.54948378,1 +131917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.300898806,1 +131918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.253237169,1 +131921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.394407713,1 +131919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.959400268,1 +131920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.241641408,1 +131922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.951866155,1 +131924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.253300671,1 +131925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.838145306,1 +131926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.214734545,1 +131927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.799293578,1 +131928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.663449699,1 +131929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.778769296,1 +131930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.81003964,1 +131923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.285695638,1 +131931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.154112768,1 +131932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.736973269,1 +131934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.38332142,1 +131933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.941866017,1 +131935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.274272565,1 +131936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.859059852,1 +131937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.660728817,1 +131938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.178888327,1 +131939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.198888415,1 +131940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.209002468,1 +131941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.247081509,1 +131942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.228201725,1 +131943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.673964625,1 +131944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.171022751,1 +131946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.6745632,1 +131947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.95608161,1 +131948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.631868118,1 +131949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.77501521,1 +131945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.833653973,1 +131950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.508887787,1 +131951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.522345324,1 +131954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.815268561,1 +131952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.730507651,1 +131953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.619869855,1 +131955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,7.865951689,1 +131958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.044522185,1 +131957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.275061416,1 +131956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.404669506,1 +131959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.998005243,1 +131962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.341001609,1 +131960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.187423289,1 +131961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.767862101,1 +131963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,8.244255841,1 +131964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.32216851,1 +131965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.792768416,1 +131967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.620440982,1 +131966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.531337938,1 +131968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.604899979,1 +131969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.928824744,1 +131970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.05002798,1 +131971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.16656575,1 +131972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.271491684,1 +131973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.844804226,1 +131974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.305551574,1 +131976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.875634109,1 +131977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.433489186,1 +131978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.616827323,1 +131975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.366076231,1 +131979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.859606583,1 +131980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.326040167,1 +131981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.552790997,1 +131983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.732461774,1 +131984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.871947567,1 +131985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.525874893,1 +131986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,2.372034895,1 +131982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.421548282,1 +131987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.375891369,1 +131988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.081065979,1 +131989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.778040556,1 +131990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.56149688,1 +131991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,6.72509834,1 +131993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.746491043,1 +131994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.726030359,1 +131992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,3.974551297,1 +131995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.709249677,1 +131998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,8.343359115,1 +131997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.968818434,1 +131996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,4.434724636,1 +131999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.631719537,1 +132000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,2,1,5.983229243,1 +141002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.522666792,1 +141001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,8.324210195,1 +141004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.278371251,1 +141003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.92248215,1 +141005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.539890287,1 +141006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.966715634,1 +141007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.298515471,1 +141010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.84237553,1 +141009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.353366523,1 +141008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.386418304,1 +141013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.253892888,1 +141012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.522774827,1 +141014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.205861804,1 +141015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.129222184,1 +141016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,7.319773285,1 +141011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.138344288,1 +141017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.972912794,1 +141018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.404603235,1 +141019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.785760464,1 +141020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.247287695,1 +141023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.271685909,1 +141022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.426802937,1 +141024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.009733169,1 +141021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,7.376549528,1 +141025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.404586339,1 +141026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.656406245,1 +141027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.755769169,1 +141029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.459878029,1 +141030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.401132903,1 +141028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.440697216,1 +141032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.73739985,1 +141034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.172007864,1 +141031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.436047216,1 +141033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.277622044,1 +141035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,7.007054799,1 +141038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.886553665,1 +141036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.351540247,1 +141037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.120645368,1 +141039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.153559461,1 +141040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.078240286,1 +141042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.501468358,1 +141043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.488572841,1 +141044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.685877096,1 +141045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.007463385,1 +141046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.539227388,1 +141041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.537095134,1 +141047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.086430425,1 +141050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.827220305,1 +141048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.502123,1 +141049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,7.174147702,1 +141051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.888702771,1 +141054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.582960967,1 +141053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,7.03933404,1 +141052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.841515376,1 +141055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.83094176,1 +141056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.363102239,1 +141057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.023627462,1 +141059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.403597855,1 +141060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,7.170248513,1 +141061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.096554646,1 +141062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.052821757,1 +141058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.797813392,1 +141064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.742950006,1 +141063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.73621763,1 +141066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.317937859,1 +141065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.402252234,1 +141067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.617412896,1 +141068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.490191545,1 +141069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.698574731,1 +141070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.90092592,1 +141071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.508563157,1 +141072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.423475034,1 +141074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.747072329,1 +141073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.141798651,1 +141076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.727068489,1 +141075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.546892212,1 +141077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.104501537,1 +141080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.330144067,1 +141078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.279175382,1 +141079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.556837806,1 +141082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.836357053,1 +141083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.852648536,1 +141084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.365373092,1 +141085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.261934323,1 +141081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.491777459,1 +141087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.069394493,1 +141086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.147589416,1 +141088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.093358561,1 +141090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.201043254,1 +141091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.605437316,1 +141089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.671632913,1 +141092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.223926434,1 +141093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,7.399937092,1 +141094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.034218733,1 +141095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,1.987662113,1 +141096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.133844167,1 +141097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.352520896,1 +141099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.72864591,1 +141098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.822389437,1 +141100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.89856037,1 +141101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.100073686,1 +141103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.35837472,1 +141104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.328526721,1 +141105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.893726034,1 +141102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.120361602,1 +141107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.032855888,1 +141106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.992648848,1 +141108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.833679299,1 +141109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.511071565,1 +141112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.49950047,1 +141110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.177564293,1 +141111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.536681344,1 +141113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.931761847,1 +141114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.663727663,1 +141115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.839360415,1 +141116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.331181451,1 +141117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.510010116,1 +141119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.933510621,1 +141118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.290639668,1 +141122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.756755316,1 +141123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,7.164047605,1 +141120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.391047255,1 +141121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.130556168,1 +141126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.228258267,1 +141125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.285307428,1 +141127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.736285905,1 +141124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.277117396,1 +141129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.417800536,1 +141130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.935169012,1 +141131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.433658787,1 +141128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.226032037,1 +141132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.723223575,1 +141133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.014208868,1 +141134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.148139091,1 +141137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.33180599,1 +141136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.031942488,1 +141138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.514798504,1 +141135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.453534522,1 +141140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.353917868,1 +141141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.162918412,1 +141142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,1.571566981,1 +141139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.37269094,1 +141143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.410301286,1 +141144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.283663616,1 +141145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.756162242,1 +141146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.298941614,1 +141148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.873590397,1 +141149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.295974326,1 +141150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.67210316,1 +141147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.882423621,1 +141151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.528538351,1 +141152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.005939476,1 +141153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.352352646,1 +141155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.965355829,1 +141156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.74338838,1 +141154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.222574587,1 +141157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.827321974,1 +141159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.535995352,1 +141160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.835251221,1 +141158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.440945206,1 +141161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.810643775,1 +141162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.2875116,1 +141164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,1.763742042,1 +141163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.522137301,1 +141165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.891230516,1 +141166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,7.069905732,1 +141167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.271727538,1 +141169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.842371196,1 +141170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.640431532,1 +141171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.086484575,1 +141172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.517506112,1 +141168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.601204861,1 +141173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.546034032,1 +141174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.733624115,1 +141175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.93804637,1 +141177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.180274909,1 +141176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.680066035,1 +141178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.863083671,1 +141179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.737644699,1 +141180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,7.167979021,1 +141181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.556156848,1 +141182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.961699135,1 +141183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.368711629,1 +141184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.820975418,1 +141185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.204547042,1 +141186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.65611632,1 +141188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,7.271105618,1 +141187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.258578416,1 +141190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.234164963,1 +141189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.782793597,1 +141192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,8.037939701,1 +141193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.845991464,1 +141195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.761387971,1 +141191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.1868312,1 +141194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.69774006,1 +141196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.584963412,1 +141197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.627019348,1 +141199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,7.870406994,1 +141200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.439884249,1 +141198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.177468958,1 +141204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.312838185,1 +141203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.636192384,1 +141202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.772757774,1 +141201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.257420012,1 +141208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.996734759,1 +141206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.721088932,1 +141207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.91104513,1 +141205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.037289447,1 +141209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.386795703,1 +141211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.785288996,1 +141210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.770715895,1 +141213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,8.705982696,1 +141215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.885475221,1 +141214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.897711038,1 +141212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.223909641,1 +141218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.455313852,1 +141219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.537345785,1 +141216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.058612615,1 +141217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.038584415,1 +141221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.840699975,1 +141223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.678417288,1 +141222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.159035943,1 +141224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.53428469,1 +141220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.943240612,1 +141225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,7.559323919,1 +141226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.137621329,1 +141227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.173965343,1 +141228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.733049449,1 +141230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.993131335,1 +141229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.374029403,1 +141232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.97789792,1 +141234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.409334325,1 +141233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.729540848,1 +141231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.986071251,1 +141235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.743575303,1 +141236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.4146904,1 +141237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.688009507,1 +141238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.211948352,1 +141239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.360285345,1 +141240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.794858507,1 +141241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.309890551,1 +141242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.557246893,1 +141243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.089073439,1 +141244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.575354681,1 +141245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.922367578,1 +141246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.022481409,1 +141247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.332556469,1 +141249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.694679503,1 +141248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.338819192,1 +141250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.958998665,1 +141252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.53099091,1 +141251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.199747353,1 +141253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.764696406,1 +141254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.521703694,1 +141255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.917275329,1 +141256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.719868711,1 +141257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.469123797,1 +141258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.976796091,1 +141259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.448546142,1 +141260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.085052438,1 +141261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.750310999,1 +141263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.270905932,1 +141262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.749055738,1 +141267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.905448848,1 +141266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.3904689,1 +141265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.311430333,1 +141268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.44925281,1 +141269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.649835957,1 +141270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.361541835,1 +141264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.952174181,1 +141272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.780522576,1 +141273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.668991286,1 +141271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.9253166,1 +141274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.208822326,1 +141275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.788091322,1 +141276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.416716679,1 +141277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.184092257,1 +141278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.821139045,1 +141281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.566570692,1 +141280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.136851868,1 +141279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.99940575,1 +141282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.556574325,1 +141283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.070886717,1 +141284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.313934081,1 +141285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.300710171,1 +141287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.135751854,1 +141289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.426937377,1 +141288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.795512635,1 +141290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.918337967,1 +141291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.03048279,1 +141292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.953028736,1 +141294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.780438697,1 +141286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.029554645,1 +141293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.316234041,1 +141295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.581697196,1 +141296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.479158303,1 +141297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.613219011,1 +141298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.679559612,1 +141299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.334764113,1 +141300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.876082047,1 +141301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.865935916,1 +141302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.512096053,1 +141303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.81451311,1 +141306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.606646358,1 +141305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.398182882,1 +141304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,7.00372321,1 +141307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.875838095,1 +141308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.28526019,1 +141309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.645249086,1 +141311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.750778628,1 +141310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.931908312,1 +141312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.679062085,1 +141313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.219377138,1 +141314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.524273872,1 +141315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.944106641,1 +141317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.291141769,1 +141316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.434092125,1 +141318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.300782597,1 +141320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.355776112,1 +141319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.125730208,1 +141321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.967508187,1 +141322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.327100046,1 +141323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,1.388859312,1 +141324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.957295316,1 +141325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.885633589,1 +141326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.691070941,1 +141327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.10157101,1 +141328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.687612929,1 +141330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.513917144,1 +141331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.688154191,1 +141329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,9.432746264,1 +141332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.231008365,1 +141333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.503392041,1 +141334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.889201408,1 +141337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.77203082,1 +141335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.899791188,1 +141336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.528177139,1 +141338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.694211987,1 +141339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.932455693,1 +141340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.327883457,1 +141341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.267608813,1 +141342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.463680975,1 +141344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.899877979,1 +141346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.392831615,1 +141345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.127091666,1 +141347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.590815579,1 +141348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.281123484,1 +141343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.003892868,1 +141349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.880760155,1 +141351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.622836699,1 +141352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.179756253,1 +141353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.425218677,1 +141354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.727570064,1 +141355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.638158573,1 +141350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,7.857233338,1 +141358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.832261865,1 +141356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.068388707,1 +141359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.952271626,1 +141357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.57537497,1 +141361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.265049807,1 +141360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.671316711,1 +141362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.822498836,1 +141363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.312931642,1 +141366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.965538146,1 +141364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.555365143,1 +141367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.170236288,1 +141365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.334569377,1 +141369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.416848834,1 +141370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.908508057,1 +141371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.552560201,1 +141372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.826194432,1 +141368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.198489971,1 +141374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.762623517,1 +141373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.699968481,1 +141376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.123144111,1 +141375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.391404379,1 +141378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.47599309,1 +141377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.144861205,1 +141379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.247194763,1 +141380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.184110604,1 +141381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.927091547,1 +141383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.829619161,1 +141384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.900371496,1 +141385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.679670202,1 +141382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.354271305,1 +141386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.983532255,1 +141387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.96232562,1 +141389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.894121036,1 +141388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.471929029,1 +141390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.850857894,1 +141392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.597475986,1 +141393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.355554868,1 +141394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.331829027,1 +141391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.824031382,1 +141395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.595909782,1 +141396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.809270609,1 +141397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.764853179,1 +141398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.904135134,1 +141400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.251349242,1 +141401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.382192776,1 +141399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.160915283,1 +141402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.382571538,1 +141403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.862802388,1 +141405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.95146061,1 +141406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.196784653,1 +141404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.713559377,1 +141407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.366453678,1 +141408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.033459809,1 +141410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.430236814,1 +141411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.254062038,1 +141412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.614717893,1 +141409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.837830115,1 +141413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.207384609,1 +141414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.158828312,1 +141417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.248220982,1 +141418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.945015598,1 +141416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.273832314,1 +141415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.417865029,1 +141419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.038236151,1 +141421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.895542489,1 +141420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.356796024,1 +141422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.467512813,1 +141423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.206487269,1 +141425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.76508254,1 +141424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.949289711,1 +141426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.833893228,1 +141427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.177672341,1 +141428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.093268185,1 +141430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.923321365,1 +141431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.976691123,1 +141432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.922229785,1 +141433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.372845055,1 +141434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.725510909,1 +141429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.324129193,1 +141435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.660340032,1 +141437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.343438363,1 +141436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.633310474,1 +141438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.273622261,1 +141439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.60287313,1 +141440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.196073461,1 +141442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.298579501,1 +141441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.835515342,1 +141443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.361285957,1 +141444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.344414919,1 +141446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.73694979,1 +141445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.231594497,1 +141447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.727002992,1 +141448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.506098025,1 +141449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.582043875,1 +141451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.142224028,1 +141450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.101615078,1 +141452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.210938286,1 +141454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.535433588,1 +141455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.659192704,1 +141456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.728207186,1 +141457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.727381911,1 +141453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.206026451,1 +141458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.821208378,1 +141459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.775620514,1 +141460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.671827775,1 +141463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.247737833,1 +141462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.125235749,1 +141461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.996145471,1 +141464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.572866062,1 +141466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.909476496,1 +141465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.64206593,1 +141467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.140493049,1 +141468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.291691563,1 +141469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.404526569,1 +141471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.566660331,1 +141470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.736056644,1 +141472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.685963832,1 +141473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.889301872,1 +141475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.438108207,1 +141476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.766982871,1 +141478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.944939265,1 +141479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,7.414826078,1 +141477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.210975458,1 +141474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.203705299,1 +141483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.13471201,1 +141480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.490011116,1 +141481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.1646523,1 +141482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.872700141,1 +141484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.101157201,1 +141485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.586188716,1 +141486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.592051706,1 +141487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.068145867,1 +141488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.32263541,1 +141489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.512732821,1 +141490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.076336418,1 +141493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.317623645,1 +141494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.309623293,1 +141491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.885205287,1 +141492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.209499943,1 +141497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.348622091,1 +141498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,9.290253183,1 +141495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.542385446,1 +141496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.550447679,1 +141499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.113380787,1 +141500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.907419305,1 +141501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.327873383,1 +141502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.474680884,1 +141504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.693804438,1 +141505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.331960307,1 +141503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.364844822,1 +141506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.532356023,1 +141507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.973777567,1 +141508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.962360586,1 +141509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.527558026,1 +141510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.192114614,1 +141512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.633445861,1 +141514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.891464049,1 +141511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.765491938,1 +141515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.596968797,1 +141513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.811859099,1 +141516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.407308951,1 +141517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.567628812,1 +141518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.113363347,1 +141520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.410884563,1 +141522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.731517794,1 +141521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.7528793,1 +141519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.022202022,1 +141523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.158163174,1 +141524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.441827808,1 +141525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.885804673,1 +141526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.294033926,1 +141527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,7.006604104,1 +141529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.128698602,1 +141528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.525659932,1 +141530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.402876959,1 +141531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.203664421,1 +141532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.637591893,1 +141533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.337342981,1 +141534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.30534719,1 +141535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.124758091,1 +141536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.112636315,1 +141537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.356336686,1 +141539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.873581653,1 +141540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.933161705,1 +141541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.843243236,1 +141538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.475894171,1 +141542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.39100296,1 +141544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.409349014,1 +141545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.568471472,1 +141543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.837919949,1 +141546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,7.029771183,1 +141549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.664740245,1 +141547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.524877748,1 +141548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,1.899648969,1 +141550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.771719505,1 +141552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.828590743,1 +141551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.745798404,1 +141553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.869637205,1 +141554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.530575124,1 +141555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.213671464,1 +141556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.644917845,1 +141559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.442140786,1 +141558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,1.795594929,1 +141560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.568040443,1 +141561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.696706448,1 +141557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.544187691,1 +141562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.353290925,1 +141563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.965012004,1 +141564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.174814805,1 +141565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.967121864,1 +141566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.399780463,1 +141567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.017651498,1 +141568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.978441979,1 +141569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.975181498,1 +141570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.318859689,1 +141571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.411742729,1 +141572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.102376504,1 +141573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.106531133,1 +141575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.517459288,1 +141574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.720504143,1 +141576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,7.960909794,1 +141578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.293233559,1 +141579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.366267286,1 +141580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.402047231,1 +141581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.961477989,1 +141577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,7.073480364,1 +141582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,7.133414224,1 +141583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.450436703,1 +141584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.281976713,1 +141586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.087505241,1 +141587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.692146046,1 +141585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.122371801,1 +141588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.322638146,1 +141591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.399156621,1 +141589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.662613591,1 +141590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.2606057,1 +141592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.926660384,1 +141594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.263093867,1 +141595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.47139723,1 +141596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.421031756,1 +141597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.03711379,1 +141598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,7.094118723,1 +141593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.880963412,1 +141599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.85232797,1 +141600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.970682027,1 +141601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.97565981,1 +141603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,7.596714762,1 +141604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.128650219,1 +141602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.164879769,1 +141605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.516296849,1 +141608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.148096113,1 +141607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.320320905,1 +141606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.226767602,1 +141609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.292870398,1 +141610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.59339099,1 +141611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.680931333,1 +141613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.45466868,1 +141612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.924298057,1 +141614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.440863533,1 +141615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.783302684,1 +141616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.05574351,1 +141617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.712932015,1 +141619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.445517982,1 +141621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.416638788,1 +141618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.186931227,1 +141620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.439932136,1 +141622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.57989533,1 +141623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,7.450828774,1 +141624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.620094247,1 +141625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,7.341246209,1 +141626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.99165874,1 +141627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.010522007,1 +141628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.093874008,1 +141629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.919711616,1 +141631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.101917062,1 +141630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.768839013,1 +141632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.627301785,1 +141633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.909892949,1 +141635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.587996083,1 +141634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.50166186,1 +141637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.7876878,1 +141639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.883338532,1 +141638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.491558559,1 +141636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.153915351,1 +141640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.693222515,1 +141641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.206010888,1 +141642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.796020036,1 +141643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,8.138955169,1 +141644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.169375922,1 +141645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.219872379,1 +141646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.25914065,1 +141647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.148248699,1 +141648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.66131548,1 +141649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.891543675,1 +141650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.42136493,1 +141651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.211189446,1 +141652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.453863452,1 +141653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.123274594,1 +141654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.270369353,1 +141657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.531917854,1 +141655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.693439449,1 +141658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.46163251,1 +141659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.938455153,1 +141656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.961856388,1 +141660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.708940413,1 +141661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.617323931,1 +141662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.399581345,1 +141665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.983829541,1 +141664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.5914681,1 +141663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.800671433,1 +141669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.193538323,1 +141667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.553451794,1 +141666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.288846631,1 +141668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.264519953,1 +141670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.570114991,1 +141672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.878748353,1 +141671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.364451739,1 +141673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,7.797329924,1 +141676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.234089983,1 +141675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.71354589,1 +141677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.383526331,1 +141674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.617960283,1 +141679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.155022162,1 +141678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.619398651,1 +141680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.338011453,1 +141683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.497053519,1 +141682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.271354306,1 +141681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.395211084,1 +141684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.696499131,1 +141685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.535252878,1 +141687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.295214217,1 +141686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.900140734,1 +141688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.742595327,1 +141690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,7.209776947,1 +141691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,8.254446607,1 +141689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.013252971,1 +141692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.495701948,1 +141695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.03573873,1 +141693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.917422724,1 +141697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.875290403,1 +141696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.91606667,1 +141698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.853808375,1 +141694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.201378592,1 +141699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.544578284,1 +141701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.940715783,1 +141702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.579622065,1 +141703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.339895603,1 +141704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.891911588,1 +141700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.229963175,1 +141705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.068684266,1 +141706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.863821307,1 +141707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.915340019,1 +141709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.840848602,1 +141710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.820375039,1 +141708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,7.198854516,1 +141711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.912513226,1 +141714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.911974148,1 +141713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.014471291,1 +141712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.53242669,1 +141715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.455358778,1 +141716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,7.296187064,1 +141718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.635981315,1 +141717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.553322012,1 +141719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.640290213,1 +141720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.612511213,1 +141721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.430185024,1 +141723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.268928882,1 +141722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.965171303,1 +141725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.968975457,1 +141726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.348225853,1 +141727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.42742598,1 +141728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.139244033,1 +141730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.722596325,1 +141724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.95871863,1 +141729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.626004614,1 +141733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.791861577,1 +141731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.796987819,1 +141732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.94695447,1 +141734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.490962172,1 +141735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.978565221,1 +141736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.810446374,1 +141737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.729755033,1 +141738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.37412738,1 +141740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.650260994,1 +141739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.760178318,1 +141741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.899910337,1 +141742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.87498936,1 +141745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.250873434,1 +141743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.719080145,1 +141746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.155686197,1 +141744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.273497081,1 +141748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.473772933,1 +141747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.868059911,1 +141749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.677045692,1 +141750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.180302733,1 +141751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.90932091,1 +141752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.716629109,1 +141755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.959648117,1 +141754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.181816937,1 +141756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.934756821,1 +141753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.58719743,1 +141757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.649644033,1 +141759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.151523696,1 +141758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.999708554,1 +141760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.592722795,1 +141761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.773040913,1 +141762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.01274989,1 +141763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.227294043,1 +141764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.717360453,1 +141765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.086417852,1 +141766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.905456962,1 +141767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.041257725,1 +141769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.590601867,1 +141770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.416146173,1 +141768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.251147183,1 +141771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.158975874,1 +141772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.5847946,1 +141773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.308909056,1 +141775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.074391324,1 +141774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,1.537344545,1 +141777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.192592897,1 +141776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.29093438,1 +141779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.289873696,1 +141778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.844661797,1 +141781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.290712164,1 +141780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.854825052,1 +141782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.038748832,1 +141784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.615458231,1 +141783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.588423274,1 +141785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.853734116,1 +141787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.998012288,1 +141788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.215077687,1 +141789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.495843281,1 +141786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.009316688,1 +141791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.303043306,1 +141790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.254664025,1 +141792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.765885338,1 +141793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.123656661,1 +141795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.449258999,1 +141796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.875149208,1 +141797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,7.729989435,1 +141798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.368587558,1 +141794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.633377608,1 +141799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.553328584,1 +141800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.581799373,1 +141801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.237304654,1 +141802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.978663323,1 +141803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.931733131,1 +141806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.945237746,1 +141805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.001301388,1 +141804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.448527535,1 +141807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.868389348,1 +141810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.071812162,1 +141809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.148702964,1 +141811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.422483739,1 +141808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.793712595,1 +141812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.20363395,1 +141813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.528856892,1 +141815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.466695853,1 +141816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.039612285,1 +141817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.041923465,1 +141818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.244253196,1 +141814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.275730301,1 +141819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.393598556,1 +141820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.039778474,1 +141821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.489616147,1 +141822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.253345676,1 +141824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.16405221,1 +141823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.935182081,1 +141825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.047179187,1 +141827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.964290822,1 +141826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.597471025,1 +141828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.085094096,1 +141829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.569402979,1 +141830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.751944597,1 +141832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.148144124,1 +141833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.353107581,1 +141834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.817783748,1 +141835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.299438923,1 +141836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.10447683,1 +141831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.390516153,1 +141839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.131076481,1 +141837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.8645105,1 +141838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.813156499,1 +141840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.087554326,1 +141842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.7294068,1 +141841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.188770565,1 +141843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.319412231,1 +141844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.44917312,1 +141845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.154746558,1 +141846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,1.639035221,1 +141847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.593286038,1 +141848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.289330629,1 +141849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.595396475,1 +141850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.311413232,1 +141851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.216880421,1 +141853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.856182565,1 +141852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.909102929,1 +141854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.8289228,1 +141855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.45581994,1 +141856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.780587357,1 +141857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.633054661,1 +141858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.341101425,1 +141859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.749478307,1 +141860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.349759307,1 +141862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.669657501,1 +141863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.261769428,1 +141864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.704328261,1 +141861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.786775193,1 +141866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.493530033,1 +141865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.28176767,1 +141867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.969830568,1 +141868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.167265655,1 +141869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.550437982,1 +141870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.988708958,1 +141873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.160592955,1 +141874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.14341566,1 +141872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.65994327,1 +141875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.27262712,1 +141876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,7.734402305,1 +141877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.373103491,1 +141878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.731952948,1 +141879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.278058583,1 +141871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.722395408,1 +141880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.022600183,1 +141881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.013943896,1 +141882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.806521323,1 +141883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.360863326,1 +141884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.393726118,1 +141886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.365161017,1 +141885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.958471882,1 +141888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.780981301,1 +141889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.62586172,1 +141887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.241872854,1 +141890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.198980654,1 +141891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.002184326,1 +141892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.466874045,1 +141895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.550421958,1 +141894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.321504689,1 +141893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.277110348,1 +141897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.568170249,1 +141898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.955721485,1 +141896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,7.230756607,1 +141899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.61830352,1 +141902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.767100249,1 +141903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.281989163,1 +141900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.10482018,1 +141901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.465245665,1 +141904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.688192863,1 +141906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.943423969,1 +141907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.710033149,1 +141908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.022391438,1 +141909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.074928386,1 +141910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.436297617,1 +141905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.431700874,1 +141912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.853236177,1 +141913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.567719665,1 +141914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.655693113,1 +141911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.476717708,1 +141915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.594198482,1 +141916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.858070786,1 +141917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.820994928,1 +141918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.764193083,1 +141919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.224858774,1 +141920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.135255212,1 +141922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.498597988,1 +141924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.170122055,1 +141923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.055128319,1 +141925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.237622278,1 +141921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,7.144720693,1 +141927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,1.990438671,1 +141926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.315436085,1 +141930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.960791917,1 +141931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.285300489,1 +141928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.851703375,1 +141929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.014963055,1 +141933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,7.184764578,1 +141934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.761165606,1 +141935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.98039315,1 +141932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.88665918,1 +141938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.859228748,1 +141939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.349835469,1 +141937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.970602273,1 +141936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.607710885,1 +141940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.770976247,1 +141941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.40128635,1 +141942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.534066991,1 +141943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.421805064,1 +141945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.377848383,1 +141947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.411315902,1 +141944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,7.247213411,1 +141946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.52507543,1 +141948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.965234216,1 +141949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.656512509,1 +141950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.098356242,1 +141952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.072464087,1 +141951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.494944135,1 +141954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.016768388,1 +141955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.949069339,1 +141956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.069846089,1 +141957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.6030347,1 +141958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.100054072,1 +141953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.719714602,1 +141959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.763149655,1 +141962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.734061473,1 +141960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.588916795,1 +141961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.121320303,1 +141963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.031577824,1 +141964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.265896884,1 +141965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.342263564,1 +141966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,8.117691279,1 +141968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.267814774,1 +141967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.69489342,1 +141969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.22428223,1 +141970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.108393669,1 +141973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.302267721,1 +141972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.516212519,1 +141974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.419676778,1 +141971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.005559491,1 +141976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.489474703,1 +141978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.341036048,1 +141975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.741013568,1 +141977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.924776979,1 +141979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.674192145,1 +141980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.707501224,1 +141981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.239954797,1 +141982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.20287445,1 +141983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.405063732,1 +141985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.116137866,1 +141984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.678906303,1 +141986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.70334052,1 +141989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.707060523,1 +141990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,5.46989332,1 +141987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.121637554,1 +141988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.952369602,1 +141993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.474775992,1 +141992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.352156465,1 +141991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,7.579552084,1 +141994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.449593961,1 +141995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,7.057621666,1 +141996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.325475234,1 +141997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,6.504981231,1 +141998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,2.509919362,1 +141999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,4.386668272,1 +142000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,2,1,3.866429985,1 +151001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.833908832,1 +151002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.116988513,1 +151003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.971443918,1 +151004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.127901037,1 +151005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.308375793,1 +151007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.096828762,1 +151006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,8.185139192,1 +151008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.101315212,1 +151009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.243671332,1 +151010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.629648006,1 +151012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.533735616,1 +151013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.102989384,1 +151011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,7.603030648,1 +151014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.802477755,1 +151015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.224001679,1 +151016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.366458463,1 +151018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.122362559,1 +151017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.079819231,1 +151019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.891215142,1 +151020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.182182257,1 +151021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.48419377,1 +151022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.71417266,1 +151023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.86234882,1 +151024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.414553802,1 +151025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.567002029,1 +151027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.744111973,1 +151028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.333860673,1 +151029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.934349618,1 +151030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.170182214,1 +151026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,7.232940514,1 +151032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.81160799,1 +151031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.83335662,1 +151033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.514115712,1 +151036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.888071185,1 +151035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.69391092,1 +151037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.032098319,1 +151034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.675244453,1 +151040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.930780903,1 +151038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.284058218,1 +151039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.243965128,1 +151041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.091467698,1 +151042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.205842335,1 +151043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.130396288,1 +151044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.332186872,1 +151045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.211516613,1 +151046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.593162631,1 +151047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.404832637,1 +151048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.360791555,1 +151050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.909635156,1 +151051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.672432444,1 +151052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.12119441,1 +151049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.835638924,1 +151053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.650602425,1 +151054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.851427726,1 +151055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,7.774858021,1 +151056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.498521064,1 +151058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.29185769,1 +151057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.316355666,1 +151059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.371761154,1 +151060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.303585118,1 +151061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,1.599244162,1 +151062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.145930876,1 +151063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.942723266,1 +151065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.039458048,1 +151064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.809113394,1 +151067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.942880673,1 +151066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.426399128,1 +151068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.59351424,1 +151070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.767407155,1 +151071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.609905655,1 +151069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.393048832,1 +151072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.089173671,1 +151073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.875778751,1 +151074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.61010961,1 +151075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.610160194,1 +151076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.127134567,1 +151077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.344690238,1 +151078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.716648015,1 +151080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.520605426,1 +151079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.912835025,1 +151081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.010085584,1 +151082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.4450765,1 +151083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.570711516,1 +151085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.565445673,1 +151084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.807872869,1 +151086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.891551623,1 +151087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.83913853,1 +151088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.772305463,1 +151089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.667574366,1 +151090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.18440817,1 +151092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.469037601,1 +151091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.19534664,1 +151093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.184667876,1 +151094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.910256954,1 +151096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.460880493,1 +151095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.205469504,1 +151098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.276311376,1 +151097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.596266201,1 +151099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.37012775,1 +151100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.957107769,1 +151101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.612927775,1 +151103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.11519709,1 +151104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.644858116,1 +151105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.368089915,1 +151106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.792754991,1 +151107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.252193766,1 +151102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.447320586,1 +151108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.899558623,1 +151109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.251283652,1 +151110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.220510213,1 +151112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.326309672,1 +151113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,1.312584498,1 +151111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.751761771,1 +151115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.19737289,1 +151114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.702981752,1 +151116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.523129557,1 +151117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.705966809,1 +151118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.939549942,1 +151119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.156686195,1 +151120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.474602527,1 +151121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.111743091,1 +151122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.406673535,1 +151123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.765216251,1 +151124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.388626367,1 +151126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.702433396,1 +151128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,7.798074409,1 +151127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.740885385,1 +151125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.836605922,1 +151129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.965295479,1 +151131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.877106399,1 +151132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.405318127,1 +151130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.928217761,1 +151133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.960650164,1 +151134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.684518805,1 +151135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.554294863,1 +151136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.061570004,1 +151137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.838774569,1 +151138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.956576583,1 +151140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.714936583,1 +151139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.194855424,1 +151141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.904019954,1 +151142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.958297891,1 +151143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.338484351,1 +151145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.964849266,1 +151146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.747726302,1 +151144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.512364793,1 +151147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.944962488,1 +151149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.282932299,1 +151148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.81874429,1 +151150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.578324577,1 +151151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.12574999,1 +151152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.990820202,1 +151153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.134921549,1 +151154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.434097665,1 +151155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.933386904,1 +151156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.998718225,1 +151157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.199643195,1 +151159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.49396522,1 +151158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.509595249,1 +151160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.774435708,1 +151161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.533009457,1 +151162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.01029679,1 +151163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.32104109,1 +151164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.916983099,1 +151165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.51321328,1 +151167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.694766292,1 +151166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.934915678,1 +151168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.818733222,1 +151169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.386096409,1 +151170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.079648391,1 +151172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.254547735,1 +151173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,7.442897275,1 +151171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.658136032,1 +151174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.508720085,1 +151175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.213088519,1 +151176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.642300147,1 +151177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.961013234,1 +151179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.455075551,1 +151178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.69179272,1 +151180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.545377333,1 +151182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.554616064,1 +151183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.474560112,1 +151184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.140421673,1 +151185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.08364669,1 +151186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.899106627,1 +151187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.018233546,1 +151181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.815436981,1 +151188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.389687543,1 +151190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.169151007,1 +151189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.739538254,1 +151191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.527704405,1 +151193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.157275491,1 +151192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.171259706,1 +151194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.629074477,1 +151195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.06925981,1 +151196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.362052584,1 +151197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.357091868,1 +151198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.191474468,1 +151199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.256013346,1 +151200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.039519605,1 +151201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.848705171,1 +151203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.633247656,1 +151204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.731558452,1 +151205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.81546864,1 +151206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.926020306,1 +151208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.831930026,1 +151207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.66875782,1 +151202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.647218334,1 +151209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.644349313,1 +151210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.116537764,1 +151212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.104427361,1 +151211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.74524736,1 +151213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.802038357,1 +151214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.445475355,1 +151215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.210203747,1 +151216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.215080886,1 +151217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.181759897,1 +151218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.89982553,1 +151220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,7.628071854,1 +151219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.641055656,1 +151221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.322807795,1 +151222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.862027264,1 +151223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.46396545,1 +151225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.661300787,1 +151226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.119587959,1 +151227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.848000766,1 +151224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.001841381,1 +151228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.456871253,1 +151229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.583299995,1 +151230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.4094455,1 +151231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.469457818,1 +151232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,8.229232488,1 +151233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.867952324,1 +151234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.118771243,1 +151237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.489182372,1 +151235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,7.199095465,1 +151236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.908164775,1 +151238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.609546398,1 +151240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.989464371,1 +151241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.184132782,1 +151239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.675515103,1 +151242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.028061958,1 +151244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.118102625,1 +151245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.574797096,1 +151246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.979580626,1 +151247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.527026005,1 +151248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.031701755,1 +151249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.185682981,1 +151243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.361723727,1 +151250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.760954813,1 +151251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.909953059,1 +151252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.40094305,1 +151254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,7.138247735,1 +151255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,7.166713822,1 +151256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.060590521,1 +151253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.779724138,1 +151258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.307436863,1 +151257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.357274311,1 +151259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,7.258624198,1 +151260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.484471487,1 +151261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.342315125,1 +151263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.842436891,1 +151262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.320376229,1 +151265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.197175772,1 +151266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.127939623,1 +151267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.305125618,1 +151264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.083974067,1 +151268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.723628881,1 +151270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.110202405,1 +151269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.803021548,1 +151271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.270713574,1 +151272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,7.125744245,1 +151273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.105291003,1 +151274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.214201744,1 +151275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.915404923,1 +151276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.480489651,1 +151277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.89198419,1 +151278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.985090342,1 +151279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.642074362,1 +151280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.752190647,1 +151281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.673571747,1 +151282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.216539667,1 +151284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.471046009,1 +151285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.84325894,1 +151283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.598831218,1 +151286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.608525884,1 +151288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.210669662,1 +151289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.197317624,1 +151290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.807390598,1 +151287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.846898129,1 +151293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.411780183,1 +151294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.667305151,1 +151292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.653614656,1 +151291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.153301233,1 +151295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.880910367,1 +151296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.248139266,1 +151297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.73445144,1 +151298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.134271018,1 +151299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.999603236,1 +151300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.718678954,1 +151302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.582249585,1 +151301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.023600482,1 +151303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,7.124485621,1 +151304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.490784756,1 +151305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.463237781,1 +151306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.683175092,1 +151307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.166043443,1 +151308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.057877974,1 +151310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.669529756,1 +151309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.74886405,1 +151311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.490829057,1 +151312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.063180301,1 +151313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.373745887,1 +151315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.505737681,1 +151316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.122085508,1 +151314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.995919356,1 +151319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.993525314,1 +151318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.452162899,1 +151320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.516439692,1 +151321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.357933524,1 +151322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.333183505,1 +151317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.422541812,1 +151324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.216637215,1 +151325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.725706214,1 +151326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.919604525,1 +151323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.884904469,1 +151327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.036048434,1 +151328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.361531898,1 +151329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.738899708,1 +151331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.532376844,1 +151330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.757166711,1 +151333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.71090188,1 +151335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.95342204,1 +151332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.251600364,1 +151336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.385413172,1 +151334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.095115306,1 +151337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.009617428,1 +151338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.173913705,1 +151340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.437146391,1 +151339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.415305123,1 +151341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.895066517,1 +151342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.171670867,1 +151343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.292308477,1 +151344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,1.376492558,1 +151346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.88904936,1 +151347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.398372737,1 +151345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.568474152,1 +151348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.763177043,1 +151349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.203007499,1 +151350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.908443366,1 +151351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.862298127,1 +151352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.54648626,1 +151353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.684000593,1 +151354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.413205379,1 +151355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.114194108,1 +151356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.181742271,1 +151357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.874467774,1 +151358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.735819344,1 +151359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.521826572,1 +151360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.321086476,1 +151362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.891310814,1 +151361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.254684264,1 +151364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.849045187,1 +151365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.561587361,1 +151363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.073570737,1 +151367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.579101173,1 +151368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.48845487,1 +151366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.390151193,1 +151369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.899908365,1 +151370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.422559424,1 +151371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.580175146,1 +151373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.142951857,1 +151374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.465681751,1 +151372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.203876822,1 +151375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.828591176,1 +151376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.600074376,1 +151377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.22016125,1 +151380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.024893556,1 +151378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.385858852,1 +151379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.365377118,1 +151381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.776656916,1 +151382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.371071407,1 +151384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.892822164,1 +151383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.758887023,1 +151385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.274571111,1 +151386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.960184425,1 +151387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.586731257,1 +151389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.789933266,1 +151390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.18925457,1 +151391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,1.910332764,1 +151388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.239618105,1 +151392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.163573925,1 +151394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.654212039,1 +151393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.379580073,1 +151395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.388906401,1 +151396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.124717383,1 +151399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.88800001,1 +151398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.84078038,1 +151397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.792435389,1 +151400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.078468427,1 +151402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.777409959,1 +151401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.016046422,1 +151403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.887599435,1 +151404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,1.701412907,1 +151405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.678338814,1 +151407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.686343458,1 +151408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.72910913,1 +151410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.781379076,1 +151406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.562704526,1 +151409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.961801722,1 +151413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.802409687,1 +151411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.366317413,1 +151414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.174514101,1 +151412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.897399285,1 +151416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,8.32763097,1 +151415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.7556337,1 +151417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.393845965,1 +151418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.917360884,1 +151419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.344012358,1 +151422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,9.534218769,1 +151421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.877733435,1 +151420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.504095901,1 +151423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.842907788,1 +151424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.870263442,1 +151425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.595601359,1 +151427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.497997077,1 +151426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.292420718,1 +151429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.927128977,1 +151428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.558719572,1 +151430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.015004243,1 +151431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.106709184,1 +151432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.213720352,1 +151434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.910237552,1 +151435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.326132419,1 +151436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.439569709,1 +151437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.725929265,1 +151433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.681433657,1 +151438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.189800616,1 +151439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,7.745535095,1 +151441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.529683963,1 +151440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.643467702,1 +151442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.359670043,1 +151444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.770274239,1 +151443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.695252578,1 +151445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.232312955,1 +151448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.4197585,1 +151447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.511086764,1 +151449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.604178771,1 +151450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.152813693,1 +151451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.386506246,1 +151452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.482963197,1 +151446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.864801908,1 +151453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.340101207,1 +151454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.063953051,1 +151456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.600967755,1 +151455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.900248852,1 +151457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.695280553,1 +151459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.553431813,1 +151460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.957676967,1 +151458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.255682192,1 +151461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.700142926,1 +151462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.968610174,1 +151463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.150815305,1 +151464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.874179814,1 +151465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.582697271,1 +151467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.57699261,1 +151468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.06426639,1 +151469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.339941593,1 +151466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.194165537,1 +151471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.37902887,1 +151470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.43619495,1 +151473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.498303654,1 +151472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.748546566,1 +151474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.441854992,1 +151476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.105621831,1 +151477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.096405117,1 +151475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.162819481,1 +151478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.304480366,1 +151479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.721431769,1 +151481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.217039642,1 +151480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.43306991,1 +151482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.279287405,1 +151484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.275272987,1 +151485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.648428576,1 +151483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.0978664,1 +151487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.927369461,1 +151488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.975866967,1 +151489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.367173459,1 +151486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.383138199,1 +151490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.912006019,1 +151491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.827349971,1 +151492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.312632738,1 +151494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.38456342,1 +151495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.565548589,1 +151493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.690385229,1 +151496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,7.179675541,1 +151497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.019040135,1 +151498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.758248632,1 +151500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.763264733,1 +151501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.055874344,1 +151499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.474388303,1 +151502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.010075622,1 +151503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.59542734,1 +151505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.424896852,1 +151504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.740712453,1 +151506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.267532278,1 +151507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.129846503,1 +151509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.776051144,1 +151510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.10359866,1 +151511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.060343961,1 +151508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.058093196,1 +151512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.968452635,1 +151514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.173251271,1 +151513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.49759649,1 +151516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.543854988,1 +151517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.75597251,1 +151515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.908331063,1 +151518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,8.232944489,1 +151519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,7.328208486,1 +151520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.099978296,1 +151521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.882069668,1 +151522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.306188031,1 +151523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.485170737,1 +151524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.877047291,1 +151525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.470994794,1 +151526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.760247408,1 +151527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.709363826,1 +151528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.973336657,1 +151531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.97497921,1 +151530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.373747605,1 +151532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.909574039,1 +151529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.852925763,1 +151534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.777787952,1 +151533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.499697825,1 +151535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,7.025995116,1 +151536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.492620789,1 +151537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.921359454,1 +151539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.125417641,1 +151538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.096791604,1 +151541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.276903567,1 +151540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.981316,1 +151542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.963724792,1 +151543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.56793032,1 +151544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.980195636,1 +151545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.201887754,1 +151546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.236136886,1 +151547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.38792797,1 +151548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.220362832,1 +151549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.592504168,1 +151550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.912818289,1 +151551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.714330677,1 +151552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.636304004,1 +151554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.389451217,1 +151556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.71319594,1 +151555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.000102483,1 +151553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.719525786,1 +151557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.218028379,1 +151558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.495140348,1 +151559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.346311876,1 +151560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.655847828,1 +151561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.035842467,1 +151563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.996960003,1 +151562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.91284103,1 +151564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.409057629,1 +151565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.312196798,1 +151566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.669068573,1 +151567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.732018648,1 +151568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,7.211417357,1 +151569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.859261645,1 +151570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.753340253,1 +151572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.092836445,1 +151573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.282149652,1 +151574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.764940055,1 +151571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.373967842,1 +151575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.496969034,1 +151576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.447083997,1 +151577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.915493749,1 +151579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.77541604,1 +151580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,7.479669249,1 +151578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.867732887,1 +151581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.176341289,1 +151582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.505504224,1 +151583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.425325864,1 +151584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.623003848,1 +151585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.043477296,1 +151586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.58643609,1 +151587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.277082246,1 +151588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.94234757,1 +151589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.140545186,1 +151590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.649919282,1 +151591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.560496073,1 +151593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.697351162,1 +151594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.914603682,1 +151592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.629942656,1 +151595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.583746093,1 +151596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,7.641380797,1 +151597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.918662434,1 +151598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.391928831,1 +151599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.931827895,1 +151600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.638766006,1 +151601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.926321546,1 +151602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.308791466,1 +151603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.31946902,1 +151604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.574864531,1 +151605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.491998291,1 +151608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.000279807,1 +151607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.538645292,1 +151609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.513086032,1 +151610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.615782559,1 +151611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.188031781,1 +151606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.249981691,1 +151612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.980043218,1 +151613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.887284698,1 +151614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.764565371,1 +151616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,7.500035876,1 +151615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.208722618,1 +151617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.798469459,1 +151618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.623863954,1 +151619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.857311336,1 +151620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.326572767,1 +151621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.614275698,1 +151622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.163087403,1 +151623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.091866692,1 +151625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.129594382,1 +151624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.082794925,1 +151626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.865369369,1 +151627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.226833866,1 +151628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.134646648,1 +151629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.652049367,1 +151630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.65545414,1 +151631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.192657265,1 +151632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.412359364,1 +151633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.355661613,1 +151634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.340852046,1 +151635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.572010965,1 +151636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.512788525,1 +151637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.787713004,1 +151639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.71654992,1 +151638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.179215451,1 +151640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.755672141,1 +151641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.585549851,1 +151643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.048955348,1 +151642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.661855336,1 +151644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.871690069,1 +151646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.359950301,1 +151648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.515006917,1 +151647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.094257892,1 +151649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.061013616,1 +151645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.522404771,1 +151650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.197668862,1 +151652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.454145476,1 +151653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.784434054,1 +151651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.669435314,1 +151654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.323127963,1 +151656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.235165872,1 +151655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.626605391,1 +151659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.297850361,1 +151660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.400690505,1 +151657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.162998766,1 +151658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.67145194,1 +151662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.047899128,1 +151664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.087550191,1 +151661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.743735907,1 +151665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.679786316,1 +151666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.35398873,1 +151663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.466891826,1 +151668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.36055142,1 +151667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.270157631,1 +151669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.08676142,1 +151672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.675684963,1 +151670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.459218783,1 +151671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.580402509,1 +151674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.657815105,1 +151673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.125938715,1 +151675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.929012658,1 +151676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.384620168,1 +151678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.779226162,1 +151680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.740358264,1 +151679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.683475822,1 +151681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.63258847,1 +151677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.892463361,1 +151682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.999247492,1 +151684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.397406365,1 +151685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.760721252,1 +151683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.862806025,1 +151688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.471136824,1 +151686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.427820289,1 +151689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.467005243,1 +151687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.48742614,1 +151690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.177815268,1 +151691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.004680988,1 +151693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.165955095,1 +151694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.602131778,1 +151692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.659753398,1 +151695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.908774164,1 +151696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.683075716,1 +151699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.396951285,1 +151698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.033612497,1 +151700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.708746618,1 +151701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.212284687,1 +151697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.313711809,1 +151702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.173819126,1 +151705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.169555298,1 +151703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.8674812,1 +151704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.573372548,1 +151706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.982335554,1 +151707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,1.371312064,1 +151708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.077472478,1 +151709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.673216469,1 +151710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.577204911,1 +151712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.995216678,1 +151711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.838782781,1 +151713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.161153698,1 +151714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.937763547,1 +151716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,8.00075978,1 +151717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.627573079,1 +151719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.473192545,1 +151715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.0605208,1 +151718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.211721233,1 +151722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.153829214,1 +151720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.779103915,1 +151723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.592841632,1 +151721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.521263145,1 +151724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.196594398,1 +151725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.218616098,1 +151727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.572027565,1 +151726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.592204767,1 +151728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.124048951,1 +151729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.064885163,1 +151730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.954608499,1 +151731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.953502913,1 +151733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.282421301,1 +151734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.836391625,1 +151732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.654546488,1 +151735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.004165902,1 +151736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.184744938,1 +151737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.014783371,1 +151738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.037393059,1 +151740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.513981874,1 +151741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.552843066,1 +151739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.503971374,1 +151742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.71265211,1 +151743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.070454667,1 +151744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.519762305,1 +151745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.539906721,1 +151746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.03053535,1 +151747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.049646657,1 +151750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.408191371,1 +151749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.108773247,1 +151748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.358073069,1 +151751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.954009948,1 +151752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.718707708,1 +151754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.29323201,1 +151755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.058076157,1 +151756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.274917243,1 +151757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.065512529,1 +151753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.215880487,1 +151758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.950568955,1 +151759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.47186869,1 +151760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.069373011,1 +151762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.334459379,1 +151763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.037433672,1 +151761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.583013694,1 +151764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.55775627,1 +151767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.092951595,1 +151765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.625676464,1 +151766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.882645976,1 +151768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,8.550851063,1 +151770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.851545736,1 +151769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.799994222,1 +151772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.695908064,1 +151771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.963286746,1 +151773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.186355645,1 +151775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.876766083,1 +151776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.38794946,1 +151777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.303032238,1 +151774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.324695259,1 +151778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.246844253,1 +151779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.152306505,1 +151780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.881779047,1 +151783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.703920526,1 +151781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.190317021,1 +151782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.729049427,1 +151784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,7.551076779,1 +151785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.265463342,1 +151786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.789859289,1 +151787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.624963753,1 +151788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.752731431,1 +151789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.021127664,1 +151790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.451743744,1 +151793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.0026454,1 +151792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.59203161,1 +151794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,7.16292623,1 +151791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.408346335,1 +151796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.09568017,1 +151797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.928357347,1 +151795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.196086582,1 +151798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.239092483,1 +151799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.118967296,1 +151800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.141906402,1 +151801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.516171244,1 +151802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.568431425,1 +151803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.287104028,1 +151804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.213399567,1 +151805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.103864189,1 +151806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.234282683,1 +151807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.951333727,1 +151808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.958279582,1 +151809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.178922419,1 +151811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.943933716,1 +151812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.925834719,1 +151813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.24915342,1 +151814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.655296335,1 +151810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.29899184,1 +151816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.73643671,1 +151815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.00628849,1 +151817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.194653882,1 +151818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.710212323,1 +151819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.914462164,1 +151821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.211845684,1 +151820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.590543923,1 +151822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.163297662,1 +151823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.499917373,1 +151824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.657464731,1 +151825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.423423018,1 +151826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.382098856,1 +151827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.143678472,1 +151828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.312111308,1 +151829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.784419214,1 +151830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.238655172,1 +151831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.66234287,1 +151832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.93082674,1 +151833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.148838994,1 +151834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.963307362,1 +151835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.992102621,1 +151836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.382289612,1 +151837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.085729953,1 +151838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.599467907,1 +151839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.196612474,1 +151840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.986054472,1 +151841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.022205336,1 +151843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.693936874,1 +151845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.635680282,1 +151844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.436188865,1 +151846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.434402249,1 +151847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.029738134,1 +151848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.477757087,1 +151842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.622375173,1 +151849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.959228078,1 +151850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.644088537,1 +151851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,7.113422015,1 +151853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.587948064,1 +151854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.993589132,1 +151852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.052268763,1 +151855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.164836137,1 +151857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.906508124,1 +151859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.571002127,1 +151856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.165791937,1 +151858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.355655744,1 +151860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.31901516,1 +151861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.331813235,1 +151862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.880541843,1 +151863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.449403804,1 +151864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.404684982,1 +151865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.535752554,1 +151866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.176939404,1 +151868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,7.077674195,1 +151869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.241136351,1 +151870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.254910249,1 +151871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.287800153,1 +151872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.144069788,1 +151867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,8.559191265,1 +151873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.65745277,1 +151874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,7.568318684,1 +151876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.259753769,1 +151875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.627512154,1 +151877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.121756842,1 +151880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.952793809,1 +151878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.946347002,1 +151879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.211767081,1 +151881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.107504852,1 +151882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.863721803,1 +151883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.429966995,1 +151884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.042742921,1 +151885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.550402456,1 +151886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.761941655,1 +151887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.175961335,1 +151889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.190440981,1 +151891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.208748256,1 +151888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.362398058,1 +151890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.745501009,1 +151892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.149032285,1 +151893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.31719385,1 +151894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.566314854,1 +151895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.565991027,1 +151896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.431857269,1 +151898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.319456737,1 +151897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.343827705,1 +151899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.792792789,1 +151900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.573082594,1 +151901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.707117545,1 +151903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.172612155,1 +151902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.35313311,1 +151904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.909889208,1 +151905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.336056667,1 +151906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.056356057,1 +151907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.094099193,1 +151909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.65632477,1 +151908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.489969179,1 +151910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.08406805,1 +151911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.798021571,1 +151912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.336547881,1 +151914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.779749502,1 +151913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.079520864,1 +151916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.880414358,1 +151917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.998307952,1 +151915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.466905359,1 +151918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.063743919,1 +151919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.39777022,1 +151921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.375306261,1 +151920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,7.576708624,1 +151923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.413864302,1 +151925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.948758988,1 +151926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.58033174,1 +151922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.642937783,1 +151927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.930714421,1 +151928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.989873642,1 +151930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,10.17931947,1 +151929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.921299591,1 +151924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.347875273,1 +151931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.262316659,1 +151932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.529367045,1 +151933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.092022283,1 +151934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.903819134,1 +151936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.917799662,1 +151935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,8.195981823,1 +151937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.139977792,1 +151939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.093860742,1 +151938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.242813943,1 +151940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.449313662,1 +151941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.351664779,1 +151944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.780927547,1 +151945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.504781155,1 +151942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.226216547,1 +151946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.594187855,1 +151947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.363929656,1 +151943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.123933245,1 +151948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.38649659,1 +151952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.004554688,1 +151951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.573104103,1 +151950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.563716732,1 +151949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.192660405,1 +151953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.606740913,1 +151954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.493230446,1 +151956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.683901938,1 +151955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.600059418,1 +151959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.193321858,1 +151960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.036213844,1 +151958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.370392474,1 +151961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.674120145,1 +151962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.701224884,1 +151957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.435205265,1 +151965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.194489183,1 +151963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.242966306,1 +151966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.496199321,1 +151964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.303169188,1 +151968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.187891082,1 +151969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.472636541,1 +151967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.642310545,1 +151970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.475739235,1 +151971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.417087054,1 +151972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.961511756,1 +151973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.698832696,1 +151974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.115687923,1 +151975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.838850366,1 +151977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.571710223,1 +151978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.292812703,1 +151976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.029267841,1 +151980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.635064848,1 +151981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.608299335,1 +151979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.151154665,1 +151982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.199441552,1 +151983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.30092631,1 +151984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.266013904,1 +151986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.868246495,1 +151985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.786739386,1 +151987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.050575094,1 +151988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.655505137,1 +151989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.207519254,1 +151991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.363000988,1 +151992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.799567521,1 +151990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.284371744,1 +151994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,6.036724877,1 +151995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,2.286589645,1 +151996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.918826122,1 +151993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.045781255,1 +151997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.534049254,1 +151998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,4.781520019,1 +152000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,3.658673367,1 +151999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,2,1,5.196526663,1 +161001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.174829543,1 +161004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.094420717,1 +161003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.867530238,1 +161005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.015295005,1 +161002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.729706037,1 +161006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.425987555,1 +161007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.841827147,1 +161008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.154796918,1 +161010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.609266484,1 +161011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.593132087,1 +161012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.460743222,1 +161009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,8.356353161,1 +161013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.781985718,1 +161015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.573012711,1 +161014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.977879335,1 +161017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.287843627,1 +161018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.867645856,1 +161016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.436256996,1 +161019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.143749094,1 +161020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.206565375,1 +161021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.74721341,1 +161022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.603980188,1 +161023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.277822525,1 +161024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.3391134,1 +161025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.873606544,1 +161027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.657754658,1 +161026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.582052078,1 +161028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.972354079,1 +161030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.05596184,1 +161029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.259914438,1 +161032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.413987717,1 +161033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.166276476,1 +161031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.226320283,1 +161034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.435086997,1 +161035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.616443873,1 +161036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.877217737,1 +161037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.103113961,1 +161038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.021844353,1 +161040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.490480561,1 +161039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.159628725,1 +161041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.637831759,1 +161042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.505293399,1 +161043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.502013879,1 +161044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.735763248,1 +161045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.003357966,1 +161047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.487023646,1 +161048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.985975085,1 +161046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.582076964,1 +161049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.097838472,1 +161050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.894517648,1 +161051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.808894951,1 +161053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.699273593,1 +161054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.597437814,1 +161055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.606218746,1 +161052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.37043101,1 +161056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.108839105,1 +161058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.205232775,1 +161057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.622838638,1 +161059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.447607653,1 +161061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.911073061,1 +161062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.405034058,1 +161063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.982278217,1 +161060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.373513936,1 +161064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,8.588289323,1 +161065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.562432615,1 +161067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.503605468,1 +161068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.889282241,1 +161069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.778191302,1 +161066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.421624641,1 +161070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.466232166,1 +161071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.895762013,1 +161073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.815850273,1 +161072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,9.225197857,1 +161074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.563995992,1 +161075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.951641618,1 +161076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.850875723,1 +161077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.072748316,1 +161079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.174886367,1 +161080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.70407811,1 +161081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.606674614,1 +161078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.100282625,1 +161082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.068000096,1 +161084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.989932373,1 +161085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.650250826,1 +161086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.106378094,1 +161083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.660875613,1 +161087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.455878771,1 +161090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.704219841,1 +161088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.534179296,1 +161089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.440970373,1 +161092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.958551076,1 +161091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.391009215,1 +161094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.389700615,1 +161095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.510997406,1 +161096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.653808542,1 +161093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.901711791,1 +161097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.414168935,1 +161098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.182410165,1 +161099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.401871315,1 +161101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.811499632,1 +161103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.822073335,1 +161100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.392638178,1 +161104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.011234039,1 +161102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.348096761,1 +161106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.759024547,1 +161105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.236475871,1 +161107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.232988983,1 +161108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.783044417,1 +161109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.249478407,1 +161110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.645905735,1 +161111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.2297611,1 +161112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.885649044,1 +161114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.735171638,1 +161115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.011741599,1 +161116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.656615868,1 +161117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.864574693,1 +161113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.319612328,1 +161118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.637312613,1 +161119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.430536231,1 +161120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.148613798,1 +161121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.150313875,1 +161122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.406097731,1 +161123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.259695188,1 +161125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.19763621,1 +161124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.758791915,1 +161126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.323417138,1 +161127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.49062428,1 +161128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.343455,1 +161129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.715661288,1 +161130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.907403374,1 +161131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.310949491,1 +161132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.857232884,1 +161135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.726321494,1 +161134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.002509304,1 +161133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.010175318,1 +161136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.556416272,1 +161137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.712421415,1 +161138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.304993683,1 +161139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.261883749,1 +161140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.589757745,1 +161142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.416359862,1 +161141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.046639879,1 +161144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.295442426,1 +161143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.092229029,1 +161147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.11633405,1 +161145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.21769536,1 +161146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.615714181,1 +161148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.096796139,1 +161151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.209592306,1 +161149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.363360358,1 +161150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.928824762,1 +161152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.554700751,1 +161154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.935248991,1 +161155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.367889243,1 +161156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.397125159,1 +161157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.836635319,1 +161153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.774476145,1 +161158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.169440656,1 +161162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.60972998,1 +161160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.94575138,1 +161159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.239021758,1 +161161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.763241034,1 +161163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.671685239,1 +161165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.44797146,1 +161164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.008545048,1 +161166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.70001629,1 +161167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.061414924,1 +161169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.634322214,1 +161170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.930280992,1 +161168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.356368595,1 +161171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.381127164,1 +161172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.001217398,1 +161174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.32311993,1 +161175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.614587241,1 +161176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.182458376,1 +161177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.489023875,1 +161178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.883479387,1 +161173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.102983065,1 +161179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.952907981,1 +161180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.551886327,1 +161181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.018595611,1 +161182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.610884447,1 +161183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.795402066,1 +161185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.949989274,1 +161186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.123107799,1 +161184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.000847841,1 +161187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.060228528,1 +161188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.247361673,1 +161189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.289900129,1 +161191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.947363749,1 +161190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.952505226,1 +161192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.51143944,1 +161194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.531068325,1 +161195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.883460405,1 +161193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.356468249,1 +161196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.951714758,1 +161197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.778862187,1 +161199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.458919997,1 +161200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.695271476,1 +161201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.741763037,1 +161202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.948462609,1 +161198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.427173075,1 +161203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.104966937,1 +161204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.321023655,1 +161205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.92846729,1 +161207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.043525381,1 +161208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.793509753,1 +161206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.19923567,1 +161209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.856256281,1 +161210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.270932061,1 +161212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.199205943,1 +161211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.763450416,1 +161213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.385269633,1 +161215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.555938618,1 +161216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.868162881,1 +161214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.93576234,1 +161217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.475728354,1 +161219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.249387796,1 +161220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.525879107,1 +161218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.713210143,1 +161221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.071163964,1 +161223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.488707129,1 +161222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.285986093,1 +161226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.816906355,1 +161227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.800541453,1 +161225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.864678008,1 +161224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.651605788,1 +161230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.991088505,1 +161228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.726741883,1 +161229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.829033094,1 +161231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.392886767,1 +161233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,1.999221783,1 +161235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.246503007,1 +161234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.040093242,1 +161232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.865461118,1 +161236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,9.417213627,1 +161238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.586867171,1 +161237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.085972035,1 +161240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.790523419,1 +161241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,1.870786055,1 +161242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.148020694,1 +161239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.262133284,1 +161244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.420326098,1 +161243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.316830393,1 +161245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.336145237,1 +161246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.867513788,1 +161247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.985576859,1 +161248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.146976748,1 +161250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.419784409,1 +161251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.998719089,1 +161249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.678636309,1 +161252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.398797906,1 +161253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.768493033,1 +161254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.069359589,1 +161255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.220894183,1 +161256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.62426992,1 +161258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.81293207,1 +161260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.199481848,1 +161257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.021102078,1 +161259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.92506067,1 +161262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.29762467,1 +161264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.391195919,1 +161263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.81327404,1 +161261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.746740634,1 +161265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.63839031,1 +161266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.997950921,1 +161267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.393458797,1 +161269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.665607745,1 +161270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.709149172,1 +161271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.570371367,1 +161268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.516254947,1 +161272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.658311019,1 +161275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.15738238,1 +161276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.126919997,1 +161273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.267046717,1 +161274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.106621351,1 +161277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.665505273,1 +161279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.741477761,1 +161278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.54834257,1 +161280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.925648443,1 +161282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.61424879,1 +161283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.253891582,1 +161281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.619586819,1 +161284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.564125787,1 +161285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.76329647,1 +161286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.600448459,1 +161288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.071750846,1 +161287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.303557812,1 +161292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.095138334,1 +161289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.371986907,1 +161290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.551053182,1 +161293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.416924931,1 +161291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.009689025,1 +161294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.703461786,1 +161295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.782209782,1 +161296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.776470293,1 +161297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.041247845,1 +161298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.945290497,1 +161299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.220400898,1 +161301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.400223622,1 +161302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.701281347,1 +161303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.747173606,1 +161300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.552994677,1 +161305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.909009608,1 +161306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.304640568,1 +161304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.275528945,1 +161307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.573135874,1 +161308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.94149569,1 +161309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.773840134,1 +161310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.024227822,1 +161311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.858123283,1 +161312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.755831588,1 +161313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.734393466,1 +161314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.279293219,1 +161315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.909068186,1 +161316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.217423649,1 +161317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.080656352,1 +161318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.978079025,1 +161321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.127436726,1 +161320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.995005411,1 +161319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.108369073,1 +161323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.069520264,1 +161324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.230704119,1 +161325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.993911725,1 +161322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.897557714,1 +161326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.195004809,1 +161328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.613593592,1 +161327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.229636594,1 +161330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.008788701,1 +161329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.974446701,1 +161331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.559044982,1 +161333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.835102978,1 +161334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.779328499,1 +161332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.715774251,1 +161335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.958454039,1 +161337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.790279285,1 +161338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,8.033694984,1 +161339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.016985901,1 +161336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.661712602,1 +161343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.180460766,1 +161342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.252768734,1 +161341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.880085283,1 +161344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.596500793,1 +161345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.132253576,1 +161346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.794072515,1 +161340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.303936169,1 +161347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.569220241,1 +161348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.766136715,1 +161349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.16160297,1 +161350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.357537012,1 +161353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.82969756,1 +161351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.620814063,1 +161352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.88941565,1 +161356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.362691125,1 +161354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.243032889,1 +161357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.542427272,1 +161358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.659636819,1 +161355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.331655553,1 +161359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.879986943,1 +161360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.2458586,1 +161361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.196052637,1 +161364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.781136412,1 +161362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.613332042,1 +161365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.034688944,1 +161363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.40138289,1 +161367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.462392785,1 +161366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.693763473,1 +161369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.046998503,1 +161368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.973292805,1 +161370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.93696452,1 +161371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.771012971,1 +161372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.183523363,1 +161373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.665769312,1 +161375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.594688028,1 +161374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.950232606,1 +161377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.237062725,1 +161376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.414991759,1 +161378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.042805177,1 +161380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.985466268,1 +161379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.732260201,1 +161382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.710927444,1 +161384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.60840925,1 +161383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.033060192,1 +161381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.61527902,1 +161385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.399459544,1 +161386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.537947436,1 +161387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.509106907,1 +161388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.33135903,1 +161389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.495647121,1 +161391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.794484149,1 +161390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.084735018,1 +161392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.467789013,1 +161393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.332154766,1 +161394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.720578183,1 +161397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.618720616,1 +161396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.939820919,1 +161398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.938655196,1 +161395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.906153977,1 +161399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.121067532,1 +161400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.065626077,1 +161401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.269857034,1 +161402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.658351038,1 +161403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.983464688,1 +161405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.803436523,1 +161404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.810707326,1 +161406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.409133169,1 +161407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.059595705,1 +161408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.62436157,1 +161409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.565342221,1 +161410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.93391251,1 +161411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.330996022,1 +161412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.4101877,1 +161413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.794917066,1 +161415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.203602805,1 +161416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.337990899,1 +161414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.179667658,1 +161418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.744941811,1 +161419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.798351985,1 +161420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.027575359,1 +161421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.396421823,1 +161422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.187858921,1 +161423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.021736588,1 +161417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.539921531,1 +161424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.812239894,1 +161425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.829365571,1 +161426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.243215866,1 +161427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.316999007,1 +161429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.756081673,1 +161431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.753662206,1 +161430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.706616726,1 +161428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.071668399,1 +161432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.641837976,1 +161434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.831390777,1 +161433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.502549696,1 +161435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.956569689,1 +161436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.9488088,1 +161437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.478697629,1 +161439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.147081922,1 +161440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.051946425,1 +161441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.334151764,1 +161442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.095255514,1 +161438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.269334325,1 +161443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.018647541,1 +161446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.931796296,1 +161445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.523897495,1 +161444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.584735581,1 +161447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.442191366,1 +161449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.653198582,1 +161450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.754344541,1 +161448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.95155857,1 +161451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.295106258,1 +161452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.802850982,1 +161454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.534280596,1 +161453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.806542537,1 +161455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.866106219,1 +161456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.184142874,1 +161458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.31205679,1 +161459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.357810026,1 +161460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.608213771,1 +161457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,8.562592611,1 +161461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.435806125,1 +161462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.98713935,1 +161463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.448821426,1 +161466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.212079285,1 +161465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.313172244,1 +161467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.478297046,1 +161464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.290373664,1 +161468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.590979344,1 +161469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.296210833,1 +161470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.988107255,1 +161471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.154569735,1 +161472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.508342701,1 +161473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.127612204,1 +161474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.205124371,1 +161475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.224768116,1 +161477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.654684374,1 +161476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.769440089,1 +161478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.568282967,1 +161480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.2524799,1 +161481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.605018472,1 +161482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.115294043,1 +161479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.590269078,1 +161483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.583799172,1 +161484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.690931822,1 +161485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.405352096,1 +161486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.044830369,1 +161488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.754105831,1 +161487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.559533889,1 +161489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.577821543,1 +161490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.521337079,1 +161492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.758180991,1 +161491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.476825326,1 +161493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.164399284,1 +161496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.075790646,1 +161495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.53957872,1 +161497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.74570316,1 +161498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.014418851,1 +161499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.20530709,1 +161494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.414422778,1 +161500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.484015596,1 +161501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.22723837,1 +161502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.257758687,1 +161504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.474776388,1 +161506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.015497531,1 +161503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.482639078,1 +161505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.984577018,1 +161507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.518949306,1 +161509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.349350249,1 +161510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.187551113,1 +161508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.882821624,1 +161511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.432393145,1 +161512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.435629196,1 +161513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.329817762,1 +161514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.979508762,1 +161515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.281677336,1 +161516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.060932204,1 +161517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.518067988,1 +161518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.890776629,1 +161520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.305070214,1 +161521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.128125042,1 +161522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.748702858,1 +161519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.122294545,1 +161523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.459093762,1 +161525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.837227113,1 +161524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.679421155,1 +161527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,8.029542678,1 +161526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.574352348,1 +161528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.554962185,1 +161529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.249990913,1 +161530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.929786467,1 +161531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.317671193,1 +161532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.125262722,1 +161534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.076313056,1 +161535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.665137634,1 +161533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.662645471,1 +161536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.062220413,1 +161539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.545170411,1 +161537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.877742934,1 +161538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.597614146,1 +161540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.648510564,1 +161542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.64750953,1 +161544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.822387442,1 +161543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.877190831,1 +161541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.142562441,1 +161545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.227606494,1 +161546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.466643649,1 +161547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.059456993,1 +161549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,1.884067482,1 +161548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.275457891,1 +161550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.845580414,1 +161551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.270562722,1 +161552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.197393317,1 +161554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.277210461,1 +161553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.526020883,1 +161556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.068980984,1 +161555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.742800296,1 +161557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.367316287,1 +161558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.945252942,1 +161559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.07736632,1 +161560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.882888816,1 +161562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.765276052,1 +161563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.761528328,1 +161561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.944929021,1 +161565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.205750511,1 +161564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.541238899,1 +161566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.026889022,1 +161567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.352540631,1 +161569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.668336218,1 +161568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.499733556,1 +161571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.623569749,1 +161570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.311709213,1 +161572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.316244073,1 +161573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.575938263,1 +161574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.775238581,1 +161575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.478825764,1 +161576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.628341134,1 +161577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.687574115,1 +161578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.040978323,1 +161579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.618170978,1 +161581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.371123463,1 +161580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.536730319,1 +161583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.767335272,1 +161585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.571484127,1 +161582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.047554652,1 +161584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.748544379,1 +161586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.562324606,1 +161588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.552573729,1 +161589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.610397452,1 +161590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.907235112,1 +161587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.147851423,1 +161591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.857847507,1 +161592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.439207577,1 +161593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.326336726,1 +161595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.840957543,1 +161596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,1.914615743,1 +161594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.680824794,1 +161597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.300982906,1 +161599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.363892602,1 +161600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.487731014,1 +161598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.3609184,1 +161601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.77297867,1 +161603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,8.160232038,1 +161602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.237000614,1 +161604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.148591796,1 +161605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.904903211,1 +161608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.767142128,1 +161607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.457291821,1 +161609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.893639275,1 +161612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.081077551,1 +161611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.407523813,1 +161610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.524576041,1 +161606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.157676946,1 +161614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.758006687,1 +161613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.716526493,1 +161615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.196732468,1 +161616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.391360357,1 +161618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.389545024,1 +161617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.607464281,1 +161619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.864811802,1 +161621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.199442333,1 +161620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.877843115,1 +161623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.271752454,1 +161622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.705947083,1 +161624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.139107415,1 +161625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.000936539,1 +161626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.093188706,1 +161627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.981166382,1 +161630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.258395587,1 +161628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.265610786,1 +161631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.57105512,1 +161629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,8.612868569,1 +161634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.638958299,1 +161632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.709838106,1 +161633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.438353843,1 +161635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.417722473,1 +161637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.845760494,1 +161636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.243509138,1 +161638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.913738119,1 +161639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.020179748,1 +161640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.766489681,1 +161641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.588869658,1 +161642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.565182344,1 +161643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.786107444,1 +161644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.648493071,1 +161645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.96993867,1 +161646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.86948115,1 +161648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.007028539,1 +161647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.794104078,1 +161651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.582520099,1 +161650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.490721635,1 +161649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.1127602,1 +161652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.501276562,1 +161653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.006795665,1 +161655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,1.428306065,1 +161654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.125237106,1 +161656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.098479245,1 +161657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.039369593,1 +161658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.90879843,1 +161660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.956245252,1 +161662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.546403172,1 +161659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.644407161,1 +161664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.063755364,1 +161661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.192366436,1 +161665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.082123409,1 +161663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.05771511,1 +161667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.84729723,1 +161668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.643146608,1 +161669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.996969617,1 +161670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.652908184,1 +161666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.687204369,1 +161672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.005705698,1 +161673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.911271242,1 +161674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.0932266,1 +161675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.098565239,1 +161671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.473784343,1 +161677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.713879082,1 +161676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.845728745,1 +161679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.833411827,1 +161680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.550145996,1 +161681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.944494226,1 +161678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.446900751,1 +161682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.106886239,1 +161684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.614202537,1 +161685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.171829824,1 +161686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.552527661,1 +161687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.968551245,1 +161683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.365987794,1 +161688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.099029073,1 +161690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.3126263,1 +161691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.239236703,1 +161692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.172823207,1 +161689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.484254543,1 +161694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.64596936,1 +161693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.607239408,1 +161696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.384945323,1 +161695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.290818689,1 +161697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.358065891,1 +161699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.010782708,1 +161698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.264266098,1 +161700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.933368526,1 +161702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.904161527,1 +161703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.701014835,1 +161701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.950295899,1 +161704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.546430965,1 +161706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.791549583,1 +161707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.314691735,1 +161708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.203610554,1 +161705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.955128856,1 +161709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.869962814,1 +161711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.705417121,1 +161710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.183824791,1 +161712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.50662484,1 +161713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.841458017,1 +161715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.170710247,1 +161714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.945452046,1 +161716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.958503356,1 +161717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.49459826,1 +161719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.688816718,1 +161720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.09387459,1 +161718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.096044926,1 +161721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.470653222,1 +161722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.783481484,1 +161723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.034244844,1 +161725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.443004197,1 +161724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.326032329,1 +161727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.325714325,1 +161728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.777257983,1 +161729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.677531311,1 +161726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.148244131,1 +161730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.690539012,1 +161731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.631095691,1 +161732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.151788581,1 +161734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.330343517,1 +161735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.840586267,1 +161733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.805458166,1 +161736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.097454913,1 +161738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.773302904,1 +161737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.094048328,1 +161739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.70040499,1 +161740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.415868851,1 +161742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.951691225,1 +161741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.770283128,1 +161744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.020389704,1 +161745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.789512503,1 +161746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.592341076,1 +161743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.558446182,1 +161747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.683664406,1 +161748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.269802988,1 +161749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.606709867,1 +161751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.155924624,1 +161753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.5226937,1 +161752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.768040025,1 +161750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.250819648,1 +161754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.783058812,1 +161756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.79397487,1 +161755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.839418585,1 +161757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.061690529,1 +161758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.090722908,1 +161759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.180735379,1 +161760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.191095532,1 +161761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.979189205,1 +161762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.186787377,1 +161763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.965772757,1 +161764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.278438163,1 +161766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.73863972,1 +161767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.128237145,1 +161768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.061459476,1 +161765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.845933695,1 +161770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.161458108,1 +161769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.342395813,1 +161771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.750186696,1 +161772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.106929737,1 +161774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.491539776,1 +161775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.623097803,1 +161773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.013930492,1 +161776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.196657963,1 +161778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.563590336,1 +161777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.853746792,1 +161780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.697779609,1 +161779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.84118306,1 +161782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.759169857,1 +161781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.44779721,1 +161783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.584436252,1 +161785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.822341267,1 +161786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.74415455,1 +161787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.766717815,1 +161784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.795410617,1 +161789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.268381443,1 +161788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.406939836,1 +161790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.702232154,1 +161791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.982450529,1 +161792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.523079818,1 +161793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.116053047,1 +161794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.557973657,1 +161795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.105886763,1 +161796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.506395059,1 +161798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.238685713,1 +161797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.470011788,1 +161799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.901215521,1 +161800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.342578228,1 +161801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.462354536,1 +161802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.949275562,1 +161803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.264245961,1 +161804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.865047728,1 +161805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.247282992,1 +161806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.099937998,1 +161807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.724520079,1 +161808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.784516616,1 +161809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.175477624,1 +161810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.494592448,1 +161811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.459278561,1 +161812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.066617976,1 +161814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.423922321,1 +161813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.542909243,1 +161815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.982262458,1 +161816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.445104228,1 +161817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.118132431,1 +161818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.702208154,1 +161821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.85714015,1 +161820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.214760516,1 +161822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.878982222,1 +161819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.380680049,1 +161825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.283792455,1 +161823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.155056616,1 +161824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.645779594,1 +161827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.027963037,1 +161829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.239012549,1 +161826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.008343431,1 +161828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.72321635,1 +161830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.130518961,1 +161831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.615760581,1 +161833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.347198787,1 +161832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.271791121,1 +161834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.391648105,1 +161835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.670370645,1 +161836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.620603791,1 +161837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.468075225,1 +161838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.83250866,1 +161840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.697430754,1 +161839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.874256759,1 +161842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,8.768711045,1 +161843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.230273431,1 +161844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.200360966,1 +161845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.047920767,1 +161841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.000605994,1 +161847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.237706255,1 +161846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.827960995,1 +161848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.507457122,1 +161849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.736677613,1 +161850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.308044191,1 +161851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.055362831,1 +161852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.290882748,1 +161853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.039577633,1 +161855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.204041342,1 +161856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.927623961,1 +161854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.453726541,1 +161858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.929469192,1 +161859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.564418716,1 +161857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.411448857,1 +161861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.244143276,1 +161862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.61702804,1 +161860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.442862158,1 +161863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.804014946,1 +161866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.426709341,1 +161864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.578623765,1 +161865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.69787242,1 +161867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,1.979909198,1 +161868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.359526867,1 +161869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.132608872,1 +161870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.127746064,1 +161871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.689956767,1 +161873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.285305453,1 +161874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.964509085,1 +161875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.529227281,1 +161877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.948512058,1 +161876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.731738826,1 +161872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.599225038,1 +161880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.345994301,1 +161881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.043873462,1 +161879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.541459061,1 +161878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.495657933,1 +161883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.535929068,1 +161882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.36074392,1 +161884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.104436135,1 +161885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,8.945398542,1 +161886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.133582659,1 +161887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.763691496,1 +161888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.076878663,1 +161889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.427214019,1 +161891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.386148587,1 +161892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.403472846,1 +161890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.936478676,1 +161893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.363419336,1 +161894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.90509339,1 +161895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.344526219,1 +161896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.034481065,1 +161897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.348287008,1 +161898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.438741814,1 +161899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.362871126,1 +161900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.432879807,1 +161902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,1.577474877,1 +161901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.272030631,1 +161904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.182656743,1 +161903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.288911301,1 +161905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.499644562,1 +161906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.382347829,1 +161907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.825320394,1 +161908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.056403302,1 +161909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.037794738,1 +161910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.426730645,1 +161912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.935745802,1 +161911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.773665735,1 +161913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.144962101,1 +161915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.92080333,1 +161914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.562895999,1 +161916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.789314953,1 +161917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.678511836,1 +161918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.509337225,1 +161919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.21814515,1 +161921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.284044718,1 +161920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.208724131,1 +161922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.18792616,1 +161923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.729108487,1 +161925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.812133832,1 +161924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.292443374,1 +161926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.638350218,1 +161928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.067760482,1 +161929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.327193216,1 +161930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.985348582,1 +161932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.392837095,1 +161927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.09931121,1 +161933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.88120765,1 +161931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.514959934,1 +161934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.130655935,1 +161935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.420355234,1 +161936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.999099142,1 +161938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.832434342,1 +161940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.473559158,1 +161937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.153565621,1 +161939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.817363001,1 +161942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.385501775,1 +161943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.056824036,1 +161941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.205626818,1 +161944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.45848211,1 +161945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.912380887,1 +161947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.178636259,1 +161948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.030801647,1 +161950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.854545235,1 +161951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.25020715,1 +161949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,1.64406851,1 +161946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.734234455,1 +161952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,9.009739436,1 +161953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.253765445,1 +161954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.539104037,1 +161955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.990998018,1 +161958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.423631224,1 +161957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.078812227,1 +161959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.413274014,1 +161956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.608672586,1 +161961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.264110597,1 +161960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.987238396,1 +161963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.774980141,1 +161962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.671189632,1 +161964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.678029696,1 +161966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.41105958,1 +161965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.467874594,1 +161968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.242585433,1 +161969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.140331663,1 +161967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.987527172,1 +161972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.679614643,1 +161970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.089743193,1 +161971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.053701308,1 +161973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.177207047,1 +161975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.19525247,1 +161974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,7.314135943,1 +161976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.325326529,1 +161977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.061554815,1 +161978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.179470548,1 +161979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.697519163,1 +161980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.418192728,1 +161983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.919028573,1 +161984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.081763024,1 +161982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.160654793,1 +161985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.143100656,1 +161981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.340757117,1 +161987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.489590163,1 +161986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.494183916,1 +161989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.762017483,1 +161990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.658748215,1 +161988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.383602726,1 +161991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,5.911377192,1 +161993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,2.592478921,1 +161992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.84260853,1 +161994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.180719993,1 +161995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.984689991,1 +161997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.523060566,1 +161998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,4.086172191,1 +161999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.730904069,1 +161996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,6.813860854,1 +162000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,2,1,3.253823364,1 +171002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.81879949,1 +171003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.420431182,1 +171004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.764831754,1 +171005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.622338655,1 +171006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.79933384,1 +171008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.243270429,1 +171001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.679059492,1 +171009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.774319062,1 +171007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.880560015,1 +171010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.703163011,1 +171011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.939690485,1 +171012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.886917404,1 +171014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.906840356,1 +171013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.948138665,1 +171015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.916412445,1 +171016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.99146381,1 +171018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.4031348,1 +171017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.143543151,1 +171019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.62503588,1 +171020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.14662735,1 +171022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.040093441,1 +171021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.228002921,1 +171024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.562357624,1 +171025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.879185154,1 +171027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.3217869,1 +171023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.761340495,1 +171026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.648760937,1 +171028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.643376764,1 +171031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.941382799,1 +171029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,1.854341265,1 +171032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.452795223,1 +171030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.297840724,1 +171033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.466553242,1 +171034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.334867671,1 +171035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.618413231,1 +171036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.687803846,1 +171038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.379084634,1 +171039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.643280717,1 +171040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.022398214,1 +171037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.220318823,1 +171042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.785830135,1 +171041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.660901571,1 +171044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.083679919,1 +171046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.610903535,1 +171045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.820945835,1 +171043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.325822803,1 +171047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.718887289,1 +171048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.872825881,1 +171050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.028661796,1 +171049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.596766815,1 +171051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.542526402,1 +171052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.160033581,1 +171054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.195630206,1 +171055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.567692828,1 +171056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.791407533,1 +171053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.064208236,1 +171057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.94749247,1 +171059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.357277487,1 +171060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.287662325,1 +171061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.372056871,1 +171058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.409900269,1 +171062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.411082631,1 +171063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.036766346,1 +171064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.53057159,1 +171065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.591645263,1 +171066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.516552261,1 +171067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.747301378,1 +171068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.46416752,1 +171069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.12910847,1 +171070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.51610209,1 +171071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.44605869,1 +171072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.421747574,1 +171073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.197341153,1 +171074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.00964676,1 +171075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.303797102,1 +171076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.072864848,1 +171077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.100874443,1 +171078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.786056464,1 +171079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.173022123,1 +171080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.805275195,1 +171082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.469298903,1 +171081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.223389924,1 +171083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.40563495,1 +171085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.082515626,1 +171086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.41419878,1 +171084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.001810556,1 +171087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.018860643,1 +171088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.627178561,1 +171090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.12065253,1 +171089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.44938298,1 +171092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.489464289,1 +171093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.700877536,1 +171091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.68301581,1 +171094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.14567594,1 +171095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.67469532,1 +171096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.139367583,1 +171098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.254924119,1 +171099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.490301883,1 +171100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.959148389,1 +171097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.424162309,1 +171101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.690297696,1 +171102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.073790855,1 +171103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.844262564,1 +171104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.102279885,1 +171107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.822531786,1 +171105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.323704236,1 +171106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.149714872,1 +171108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.564773693,1 +171109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.024061758,1 +171111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.165695501,1 +171112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.781634737,1 +171110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.928023516,1 +171113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.657113108,1 +171114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.465555932,1 +171117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.826702545,1 +171118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.151498547,1 +171116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.103597276,1 +171119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.401077159,1 +171115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.106047332,1 +171120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.471098524,1 +171121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.864317973,1 +171123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.058265147,1 +171125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.048622,1 +171122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.898650101,1 +171126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.314030233,1 +171124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.102572775,1 +171128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.985376629,1 +171129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.942148942,1 +171130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.674280762,1 +171127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.011705379,1 +171131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.701514045,1 +171133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.735988724,1 +171132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.766373596,1 +171135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.387790356,1 +171136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.588791627,1 +171134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.74103224,1 +171137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.834514831,1 +171140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.092682715,1 +171138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.284103867,1 +171139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.786359155,1 +171141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.283528256,1 +171143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.025215642,1 +171142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.965108642,1 +171144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.555127508,1 +171145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.977549781,1 +171146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.075200909,1 +171148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.595027618,1 +171149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.80611446,1 +171150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.202367034,1 +171151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.291755522,1 +171147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.248727454,1 +171153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.369756769,1 +171154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.944335378,1 +171152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.353000461,1 +171155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.854874438,1 +171156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.519793508,1 +171158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.382148858,1 +171157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.771646695,1 +171159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.604155008,1 +171160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.546150377,1 +171162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.700246537,1 +171161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.564034134,1 +171164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.333838526,1 +171165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.784319224,1 +171166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.696509995,1 +171167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.868428472,1 +171169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.628554787,1 +171163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.385141363,1 +171168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.810749638,1 +171170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.813713042,1 +171171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.107724546,1 +171172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.898601314,1 +171173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.710975977,1 +171174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.461898874,1 +171175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.376117905,1 +171176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.364779485,1 +171177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.312403854,1 +171178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.346344296,1 +171179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.47525061,1 +171181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.930655078,1 +171182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.040699683,1 +171183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.945524114,1 +171180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.327052916,1 +171184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.652941261,1 +171185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.408716442,1 +171186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.179409253,1 +171188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.986868729,1 +171189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.561795599,1 +171190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.416324609,1 +171191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.786293306,1 +171187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.107586307,1 +171192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.55038267,1 +171193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.492391914,1 +171194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.168878906,1 +171196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.254874072,1 +171197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.324214908,1 +171198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.068732128,1 +171195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.629461066,1 +171199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.506811829,1 +171200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.632079608,1 +171201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.227628983,1 +171203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.854214587,1 +171202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.546153651,1 +171204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.608878022,1 +171205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,8.963780169,1 +171206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.186719744,1 +171208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.269907732,1 +171209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.210923321,1 +171210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.595684682,1 +171211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.286642524,1 +171207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.54489766,1 +171212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.087829778,1 +171213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.46944286,1 +171214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.716850476,1 +171216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.35542807,1 +171215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.38705534,1 +171217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.214503374,1 +171218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.531388855,1 +171219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.757794436,1 +171220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.844669424,1 +171221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.677190075,1 +171222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,8.361035843,1 +171223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.680515578,1 +171224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.57618348,1 +171225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.840077543,1 +171226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.538151019,1 +171227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.750884229,1 +171229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.937035346,1 +171231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.455711047,1 +171230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.335941813,1 +171232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,8.254511115,1 +171228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.569600799,1 +171233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.574403747,1 +171236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.235823408,1 +171235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.130001942,1 +171237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.520009586,1 +171234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.99620772,1 +171239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.274039484,1 +171238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.356024165,1 +171240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.878308529,1 +171244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.733242546,1 +171242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.372673441,1 +171243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.622756082,1 +171241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.565380947,1 +171245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.722013656,1 +171246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.601167821,1 +171248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.502445992,1 +171247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.578522241,1 +171250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.808830993,1 +171249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.208990632,1 +171251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.619251264,1 +171252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.656939529,1 +171253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.279657588,1 +171254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.178273952,1 +171256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.608281605,1 +171257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.868877645,1 +171258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.869185603,1 +171255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.981515585,1 +171259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.082570161,1 +171260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.07994055,1 +171261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.578646696,1 +171262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.545248827,1 +171264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.964447169,1 +171265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.409148765,1 +171266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.078782301,1 +171267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.74314309,1 +171268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.463433498,1 +171269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.770390533,1 +171270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.551289928,1 +171271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,8.298666611,1 +171263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.45298228,1 +171273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.913859873,1 +171274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.028944172,1 +171272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.170128038,1 +171275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.913572661,1 +171278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.770472298,1 +171279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.896767192,1 +171276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.367011196,1 +171277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.206065537,1 +171280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.838508236,1 +171283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.481660547,1 +171282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,1.81937186,1 +171281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.073236523,1 +171284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.134838441,1 +171285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.356149533,1 +171286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.053633289,1 +171289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.363509423,1 +171290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.987694614,1 +171287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.85621415,1 +171288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.198208386,1 +171293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,8.299662249,1 +171292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.250332699,1 +171291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.874777504,1 +171294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.118046195,1 +171296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.437904943,1 +171297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.204952749,1 +171298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.371009609,1 +171295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.473341814,1 +171299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.58700931,1 +171300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.756997512,1 +171301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.423358424,1 +171303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.694873778,1 +171304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.863957554,1 +171302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.876644109,1 +171305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.88533018,1 +171307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.764036799,1 +171308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.047663779,1 +171306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.756564128,1 +171309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.337465934,1 +171310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.935958566,1 +171312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.391718461,1 +171313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.676710931,1 +171311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.565172664,1 +171314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.772432813,1 +171315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.607409676,1 +171316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.625498442,1 +171317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.757194779,1 +171318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.188866299,1 +171319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.226614531,1 +171322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,1.71795088,1 +171321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.07523837,1 +171320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.505751249,1 +171323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.765217921,1 +171325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.041181017,1 +171326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.158423826,1 +171324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.582798024,1 +171328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.981862378,1 +171327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.848297081,1 +171329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.762295246,1 +171330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.213535979,1 +171333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.406349573,1 +171331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.034972935,1 +171332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.741042947,1 +171334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.287599866,1 +171335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.699244103,1 +171338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.409472918,1 +171337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.206812424,1 +171336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.195667608,1 +171340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.498662332,1 +171339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.886350969,1 +171344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.509215392,1 +171341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.445457184,1 +171343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.705713905,1 +171345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.723772508,1 +171346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.85104699,1 +171347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.790066446,1 +171342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.629595474,1 +171348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.996424727,1 +171349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.807392736,1 +171350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.163796816,1 +171353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.207269204,1 +171351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.098054716,1 +171354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.977039399,1 +171352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.4422733,1 +171356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.67414777,1 +171358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.003198365,1 +171355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,1.162641939,1 +171360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.669449916,1 +171357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.543796799,1 +171361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.84437623,1 +171362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.503241071,1 +171363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.941401419,1 +171364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.510713587,1 +171359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.959687057,1 +171366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.160042047,1 +171367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.135730391,1 +171365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.913396164,1 +171368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.950762496,1 +171369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.144818248,1 +171370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.403816514,1 +171372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.221341499,1 +171371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.389997678,1 +171376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.392798813,1 +171375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.390536191,1 +171373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.828584437,1 +171374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.80814432,1 +171377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.053820376,1 +171379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.157524438,1 +171380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.056707878,1 +171378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.120046559,1 +171382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.729875833,1 +171383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.462724736,1 +171381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.996091495,1 +171384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.645753806,1 +171385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.64783135,1 +171386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.071358567,1 +171387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.78201826,1 +171388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.137616319,1 +171391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.117958423,1 +171390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.747325424,1 +171392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.444654042,1 +171393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.728914724,1 +171389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.081575542,1 +171394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.146841102,1 +171396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.620227853,1 +171398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.023387032,1 +171397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.16089005,1 +171395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.442094277,1 +171400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.068084703,1 +171401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.100136094,1 +171402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.5083687,1 +171399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.18879124,1 +171404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.791395341,1 +171406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.91326847,1 +171405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.779940342,1 +171403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.086185834,1 +171408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.996744982,1 +171409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.438823453,1 +171407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.778696125,1 +171410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.764710868,1 +171411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.741964546,1 +171414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.982709382,1 +171413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.609058399,1 +171415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.301119178,1 +171412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.841817745,1 +171416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.933400714,1 +171417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.70496795,1 +171418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.153361312,1 +171420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.671687266,1 +171419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.048962905,1 +171421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.674713365,1 +171422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.831296271,1 +171425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.874841031,1 +171424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.697893371,1 +171426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.101553309,1 +171423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.195396876,1 +171428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.730242864,1 +171429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.300463159,1 +171430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.782320547,1 +171427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.877269119,1 +171431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.074276615,1 +171432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.605833054,1 +171433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.652307915,1 +171434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.757146225,1 +171435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.591503948,1 +171436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.011731666,1 +171437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.6263813,1 +171438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.648430785,1 +171439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.575069919,1 +171441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.068362955,1 +171442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.157815727,1 +171443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.245566594,1 +171445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.954033988,1 +171440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.641591251,1 +171448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.727019783,1 +171444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.557041058,1 +171447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.524904066,1 +171449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.155760778,1 +171450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.229616905,1 +171446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.717388014,1 +171451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.884386172,1 +171452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.900255137,1 +171453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.675968642,1 +171455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.543171284,1 +171454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.611262812,1 +171456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.531578995,1 +171457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.761950682,1 +171458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.910065946,1 +171459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.453385126,1 +171461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.092400673,1 +171460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.179961087,1 +171463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.554791036,1 +171462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.938862192,1 +171464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.049270942,1 +171465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.990889094,1 +171467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.359087128,1 +171468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.386957114,1 +171469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.552957422,1 +171470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.563575071,1 +171471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.677644833,1 +171466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.356063137,1 +171472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.41819241,1 +171473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.941806782,1 +171474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.029808927,1 +171476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.869447489,1 +171478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.465291935,1 +171475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.763698987,1 +171477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.414951663,1 +171479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.792712669,1 +171481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.578917135,1 +171482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.038935576,1 +171483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.132009439,1 +171480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.742996672,1 +171484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.531486446,1 +171486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.874710218,1 +171485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.578753936,1 +171488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.278517167,1 +171489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.443778505,1 +171490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.265991204,1 +171491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.999026614,1 +171487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.956279907,1 +171493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.420640352,1 +171492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.747892008,1 +171495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.528530216,1 +171494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.161682833,1 +171497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.939713273,1 +171496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.041354506,1 +171498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.089607423,1 +171499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.788237388,1 +171500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.661454037,1 +171501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.086455964,1 +171503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.316642679,1 +171504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.165633882,1 +171502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.037743991,1 +171505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.944411504,1 +171506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.538230156,1 +171509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.18362531,1 +171508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.064563348,1 +171507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.080059621,1 +171510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.035293226,1 +171511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.315837593,1 +171513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.052218085,1 +171514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.510048237,1 +171515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.389534593,1 +171512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.715582265,1 +171516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.151450948,1 +171517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.803697793,1 +171519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.793189377,1 +171518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.013101193,1 +171520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.279332413,1 +171521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.943657729,1 +171522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.221320406,1 +171523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.64995031,1 +171524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.313189421,1 +171527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.131478308,1 +171528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.493436754,1 +171525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.983548343,1 +171526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.65786398,1 +171529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.154712614,1 +171531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.582658187,1 +171530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.930659829,1 +171533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.883384207,1 +171532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.114494182,1 +171534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.785754026,1 +171535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.077543331,1 +171536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.775966283,1 +171538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.770552723,1 +171539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.671801567,1 +171537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.860678257,1 +171541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.257721484,1 +171540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.490466645,1 +171542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.923996227,1 +171543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.708074284,1 +171545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.835508734,1 +171546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.814270827,1 +171544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.596748587,1 +171548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.004100046,1 +171549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.585520659,1 +171547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,9.07153571,1 +171550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.573040364,1 +171551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.858384144,1 +171552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.057386938,1 +171554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.142011334,1 +171555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.77966747,1 +171553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.633404597,1 +171557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.986008647,1 +171556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.94352272,1 +171559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.104709114,1 +171561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.310395172,1 +171558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.393040212,1 +171562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.061072853,1 +171563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.839945502,1 +171564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.49011829,1 +171560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.591431524,1 +171566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.356958846,1 +171567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.930072551,1 +171568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.110092736,1 +171571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.964550722,1 +171570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.588842131,1 +171569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.338232825,1 +171565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.423468445,1 +171572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.30024416,1 +171575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.273962907,1 +171574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.99899614,1 +171576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.511106078,1 +171577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.708536931,1 +171578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.640601884,1 +171573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,8.88565147,1 +171580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.279074003,1 +171581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.375042647,1 +171583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.932083511,1 +171582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.643728811,1 +171579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,1.541958051,1 +171586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.652695363,1 +171587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.701241727,1 +171585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.430047372,1 +171584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.497234039,1 +171588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.093127291,1 +171589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.889944296,1 +171590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.062871366,1 +171591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.924966651,1 +171593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.638850435,1 +171594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.05458676,1 +171595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.213980548,1 +171592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.729468235,1 +171597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.657620444,1 +171598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.385756515,1 +171599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.686262823,1 +171596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.77889882,1 +171602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.583183781,1 +171603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.153079034,1 +171601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.647408107,1 +171600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.515613747,1 +171604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.528325512,1 +171605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.226594154,1 +171606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.547923087,1 +171607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.863457652,1 +171608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.113513622,1 +171609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.226269731,1 +171611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.553260063,1 +171610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.769710372,1 +171613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.943911073,1 +171614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.198366674,1 +171615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.558171311,1 +171612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.383642163,1 +171617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.476542571,1 +171619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.544791067,1 +171618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.59117718,1 +171616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.077010532,1 +171620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.061548614,1 +171621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.333120718,1 +171622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.08926156,1 +171623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.962430125,1 +171624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.088929269,1 +171625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.901207681,1 +171627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.232418468,1 +171626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.480765845,1 +171628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.279169866,1 +171630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.304022014,1 +171631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.929532293,1 +171629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.969534359,1 +171632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.93892861,1 +171633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.246881608,1 +171634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.933943834,1 +171636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.354283586,1 +171635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.144845041,1 +171637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.570994145,1 +171639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.17597803,1 +171640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.082819619,1 +171641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.263936072,1 +171638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.193188677,1 +171642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.848823234,1 +171643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.357260811,1 +171644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.887537231,1 +171645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.97005302,1 +171648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.194457277,1 +171649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.506938872,1 +171646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.718401447,1 +171647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.377526254,1 +171650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.007378692,1 +171652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.471670933,1 +171653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.04189054,1 +171654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.346202044,1 +171655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.08290324,1 +171656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.363094427,1 +171651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.826895162,1 +171657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.409581664,1 +171658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.996654523,1 +171659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.525856739,1 +171661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.733629211,1 +171662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.127947327,1 +171660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.86293772,1 +171663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.022111261,1 +171664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.289710289,1 +171666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.22881589,1 +171665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.724872526,1 +171667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.36444347,1 +171668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.194666154,1 +171670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.292993315,1 +171669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.850372163,1 +171671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.69463739,1 +171673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.695080216,1 +171672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.132168101,1 +171675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.141088698,1 +171676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.630603842,1 +171677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.826379409,1 +171674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.232801448,1 +171678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.891626536,1 +171680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.274085823,1 +171681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.860680208,1 +171679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.54939538,1 +171682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.361049696,1 +171683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.339517475,1 +171684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.070777227,1 +171685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.897103279,1 +171686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.14492364,1 +171687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.410800685,1 +171688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.901224042,1 +171689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.211611352,1 +171691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.396645244,1 +171690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.270780128,1 +171693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.054957579,1 +171695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.467915756,1 +171692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.053669372,1 +171696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.769516496,1 +171694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.421977362,1 +171697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.874435525,1 +171699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.542329225,1 +171698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.121409459,1 +171700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.279876008,1 +171701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.804616247,1 +171703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.278378274,1 +171704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.904518912,1 +171705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.319222426,1 +171702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.775437647,1 +171706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.213566063,1 +171707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.733833998,1 +171708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.351790134,1 +171709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.483847298,1 +171710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.004336302,1 +171711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.898132649,1 +171712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.762886536,1 +171714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.090432011,1 +171715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.497945351,1 +171716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.388383969,1 +171717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.227361427,1 +171718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.292878431,1 +171719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.519330842,1 +171720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.553782854,1 +171713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.887122744,1 +171721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.086565313,1 +171722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.791226448,1 +171724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.776496019,1 +171723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.554391069,1 +171725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.706680459,1 +171726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.204372536,1 +171727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.087634136,1 +171728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.286599008,1 +171729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.075567432,1 +171730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.217772821,1 +171732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.208468331,1 +171733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.278016466,1 +171734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.214825007,1 +171735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.06727675,1 +171736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.128394454,1 +171731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.356828746,1 +171737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.477143228,1 +171738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.819807198,1 +171739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.979916432,1 +171741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.719224011,1 +171740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.159966664,1 +171742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.822063408,1 +171743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.20566983,1 +171744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.961296449,1 +171746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.778742414,1 +171745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.387250585,1 +171747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.521052505,1 +171750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.74100609,1 +171749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.904511249,1 +171748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.230190891,1 +171753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.240822706,1 +171752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.814832192,1 +171751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.192538013,1 +171754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.40537933,1 +171757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.18385859,1 +171756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.259267227,1 +171755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.175235044,1 +171758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.942494358,1 +171759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.039356579,1 +171761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.661018347,1 +171760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.07554771,1 +171762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.366376856,1 +171763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.615185283,1 +171764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.369476049,1 +171765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.367233319,1 +171767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.825222418,1 +171766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.665604654,1 +171768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.164101752,1 +171769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.111120096,1 +171770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.104429573,1 +171771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.36477444,1 +171772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.250836251,1 +171774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.370515008,1 +171775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.879391168,1 +171776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.180922126,1 +171777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.748826362,1 +171773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.962782381,1 +171779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.417372459,1 +171778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.280863438,1 +171780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.812825682,1 +171782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.226706648,1 +171784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.244139041,1 +171783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.077068948,1 +171781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.791456956,1 +171785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.811797525,1 +171788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.615490164,1 +171786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.595885749,1 +171787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.521225694,1 +171789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.922319344,1 +171790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.696702695,1 +171791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.235113927,1 +171793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.047479443,1 +171792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.028172759,1 +171795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.730159283,1 +171796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.312569151,1 +171797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.621328021,1 +171794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.165569454,1 +171798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.661835508,1 +171799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.320456164,1 +171800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.07002205,1 +171801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.849853024,1 +171802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.853447858,1 +171804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.674440597,1 +171803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.497431764,1 +171805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.829927769,1 +171806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.309840719,1 +171807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.698103518,1 +171808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.10904188,1 +171809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.209612856,1 +171810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.804518256,1 +171812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.714464031,1 +171813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.065283886,1 +171811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.297543052,1 +171814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.659151441,1 +171815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.664058402,1 +171817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.190848183,1 +171818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.204165908,1 +171816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.825506611,1 +171819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.576657121,1 +171820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.978765775,1 +171821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.276363025,1 +171822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.064267116,1 +171823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.880808927,1 +171824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.00474144,1 +171825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.649745708,1 +171826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.303522709,1 +171827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.38191036,1 +171828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.585463485,1 +171829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.65813517,1 +171830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.429891917,1 +171831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.080846793,1 +171833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.767462973,1 +171834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.933984417,1 +171835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.301818257,1 +171832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,1.746337461,1 +171836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.472446279,1 +171837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.559718201,1 +171839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.443572603,1 +171840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.845510393,1 +171841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.268121965,1 +171838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.002932136,1 +171843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.710832098,1 +171842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.598945227,1 +171844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.592296161,1 +171845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.432660505,1 +171846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.971728913,1 +171847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.114405605,1 +171849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.044272625,1 +171848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.072120625,1 +171850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.59927173,1 +171853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.690737641,1 +171854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.978413282,1 +171851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.321083728,1 +171855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.783007629,1 +171852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.010340677,1 +171856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.885887855,1 +171857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.603219417,1 +171858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.039229583,1 +171860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.357794698,1 +171859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.185840427,1 +171861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.528348197,1 +171864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.852845397,1 +171865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.321216137,1 +171862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.109791937,1 +171863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.442346112,1 +171866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.25977421,1 +171868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.342483547,1 +171869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.94834229,1 +171870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.85306168,1 +171871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.143210185,1 +171872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.915207277,1 +171867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.489375368,1 +171874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.225081967,1 +171875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.218590269,1 +171873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.526528859,1 +171876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.959504972,1 +171878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.851233617,1 +171877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.289623176,1 +171879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.4532088,1 +171880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.880483669,1 +171881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.60961259,1 +171883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.963929443,1 +171882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.282417126,1 +171884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.094203893,1 +171885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.257216948,1 +171886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.155302511,1 +171887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.536143769,1 +171889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.005204755,1 +171891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.304752571,1 +171888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.434369286,1 +171890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.734965611,1 +171893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.870948323,1 +171894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.301143656,1 +171895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.881311579,1 +171892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.155777266,1 +171897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.384026468,1 +171896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.245309032,1 +171898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.865583098,1 +171899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.202672528,1 +171900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.272644452,1 +171901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.53835889,1 +171902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.467675763,1 +171903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.444700831,1 +171905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.00589981,1 +171906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.875474904,1 +171907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.798628131,1 +171908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.240268718,1 +171904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.979201677,1 +171910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.750790193,1 +171912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.395398046,1 +171909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.284956756,1 +171911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.892148647,1 +171913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.290045034,1 +171915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.578113146,1 +171914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.901269163,1 +171916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.014186493,1 +171917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.200737719,1 +171918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.352280649,1 +171920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.63743333,1 +171919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.09642673,1 +171921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.62927602,1 +171922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.974952839,1 +171923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.68626664,1 +171925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.794304557,1 +171924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.805882744,1 +171927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.556436399,1 +171926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.760183142,1 +171928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.252071723,1 +171931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.603129326,1 +171930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.888731551,1 +171929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.971335149,1 +171932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.608755843,1 +171933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.371669423,1 +171934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.85414443,1 +171935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.116509281,1 +171936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.272038193,1 +171937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.748015043,1 +171938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.966167667,1 +171940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.89108188,1 +171942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.077566997,1 +171939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.417746081,1 +171941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.577550438,1 +171943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.792940781,1 +171944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.946319275,1 +171945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.786277437,1 +171946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.562461938,1 +171947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.973563419,1 +171948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.57785728,1 +171949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,2.938693605,1 +171951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.870782477,1 +171950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.276071802,1 +171952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.039724005,1 +171953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.100572735,1 +171954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.957618293,1 +171955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.792851293,1 +171957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.584740466,1 +171956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.641403675,1 +171958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.103337795,1 +171960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.310213211,1 +171961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.547240105,1 +171962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.064139008,1 +171963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.951410479,1 +171959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.624087315,1 +171964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.576301984,1 +171965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.722377702,1 +171966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.401305965,1 +171968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.065365929,1 +171969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.863899079,1 +171967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.45074295,1 +171970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.674335055,1 +171972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.940432878,1 +171971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.5174035,1 +171973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.610141536,1 +171974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.218607521,1 +171975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.752618956,1 +171976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.407338329,1 +171977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.04161973,1 +171979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.744135956,1 +171978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.094742765,1 +171980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.860193929,1 +171983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.865988144,1 +171982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.51083201,1 +171984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.773539844,1 +171985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.766455539,1 +171981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.589352728,1 +171986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.988540952,1 +171987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.707014258,1 +171988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.116645475,1 +171990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.24491573,1 +171991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.723500852,1 +171989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,7.597951335,1 +171992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.312000011,1 +171993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.287185425,1 +171994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,6.258903622,1 +171995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.471933105,1 +171996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,3.629879317,1 +171997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.5808883,1 +171998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,8.234473936,1 +172000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,5.118096312,1 +171999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,2,1,4.975299234,1 +181001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.712297727,1 +181002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.456968569,1 +181004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,7.262507603,1 +181003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.28962424,1 +181005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.66068393,1 +181007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.143357439,1 +181009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.442826804,1 +181008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.905143399,1 +181006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.645315825,1 +181010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.34390841,1 +181011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.584061826,1 +181013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.189447555,1 +181014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.917551376,1 +181015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.803381851,1 +181016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.192999536,1 +181012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.202471575,1 +181017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.208387796,1 +181018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.246597836,1 +181019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.878726302,1 +181021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.596176715,1 +181022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.622470218,1 +181023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.214623812,1 +181020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.427502081,1 +181025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.822151176,1 +181024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.353185086,1 +181026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.320159183,1 +181027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.835286718,1 +181029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.001659249,1 +181030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.057696571,1 +181028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.108612804,1 +181031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.146633064,1 +181032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.27945234,1 +181034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.353035919,1 +181033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.100584521,1 +181036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.030301174,1 +181037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.379682598,1 +181038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,8.289206083,1 +181039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.478502603,1 +181040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.022959463,1 +181035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.445044991,1 +181041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.0632719,1 +181044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.720538305,1 +181043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.006698522,1 +181042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.99725363,1 +181045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.629045937,1 +181047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,7.475128834,1 +181046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.517237962,1 +181048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.337050579,1 +181049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.61015477,1 +181050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.624173282,1 +181052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,7.147084792,1 +181051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.2158082,1 +181053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.136154837,1 +181054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.729122454,1 +181055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.990970752,1 +181057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.488478987,1 +181058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.42928351,1 +181059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.23000536,1 +181056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.555616516,1 +181060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.616334868,1 +181061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.466727307,1 +181062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.425643782,1 +181063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.099176518,1 +181064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.444350157,1 +181065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.601684059,1 +181066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.141102036,1 +181068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.780451971,1 +181067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.393683103,1 +181069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.33428661,1 +181070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.785221813,1 +181071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.266541672,1 +181073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.101920486,1 +181074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.348744085,1 +181075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.404835847,1 +181072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.498600623,1 +181076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.934653359,1 +181077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.005204197,1 +181078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.111885663,1 +181079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.559481945,1 +181081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.257408732,1 +181082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.932072705,1 +181080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.364557165,1 +181083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.154860452,1 +181084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.918544245,1 +181085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.144221659,1 +181087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.144155324,1 +181086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.168377897,1 +181088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.822226502,1 +181089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.544021181,1 +181090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.821275698,1 +181092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.963201578,1 +181093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,7.200361735,1 +181091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.117820715,1 +181094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,1.534896006,1 +181095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.296091702,1 +181096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.398174794,1 +181098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.863009179,1 +181099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.385249354,1 +181100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.183951724,1 +181097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.082785577,1 +181101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.243092527,1 +181102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.737020409,1 +181103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.683625092,1 +181105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.91857407,1 +181104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.155356143,1 +181107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.029212422,1 +181106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.304895584,1 +181108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.81632448,1 +181109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.742894583,1 +181110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.941526827,1 +181111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.795303464,1 +181112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,7.032541653,1 +181113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.912448109,1 +181114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.63256571,1 +181115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.355767942,1 +181116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.2483279,1 +181119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.06387574,1 +181118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.045210876,1 +181120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,7.178343972,1 +181117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.075100599,1 +181121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.741739546,1 +181122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.506858158,1 +181123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.780673092,1 +181124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.30339875,1 +181125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.266326733,1 +181126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.723165133,1 +181127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.436076889,1 +181129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.197147029,1 +181128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.850000868,1 +181130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.511051173,1 +181131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.690311217,1 +181133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.918764842,1 +181134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.789371702,1 +181132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,8.439229601,1 +181135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.222006345,1 +181138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.66003974,1 +181137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.411912482,1 +181136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.626987189,1 +181139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.100594426,1 +181140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.779108932,1 +181141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.444581277,1 +181142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.612003528,1 +181143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.792566402,1 +181144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.727070518,1 +181146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.19102403,1 +181147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.039734963,1 +181145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.50862026,1 +181148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.297201335,1 +181149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.729991881,1 +181150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.845115675,1 +181151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.338400208,1 +181153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.689415195,1 +181154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.957948594,1 +181152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.695600923,1 +181156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.052682663,1 +181155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.761415726,1 +181157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.209211964,1 +181158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.521331294,1 +181161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.527309917,1 +181159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.901744447,1 +181163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.210114015,1 +181162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.906892235,1 +181164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.363919194,1 +181160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.109516733,1 +181166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.080235896,1 +181168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.379012796,1 +181165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.181102092,1 +181167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.523159245,1 +181171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,7.000189739,1 +181169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.588097047,1 +181172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.504453179,1 +181173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.118227971,1 +181174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.491585814,1 +181175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.22260104,1 +181170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.112969333,1 +181176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.667730144,1 +181178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.750599362,1 +181177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.626266969,1 +181179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.969641672,1 +181182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.357609224,1 +181180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.436078999,1 +181181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.338634858,1 +181183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.816656066,1 +181185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.654947812,1 +181186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,7.139392127,1 +181184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.187289573,1 +181187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.618922875,1 +181188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,1.633847293,1 +181189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.189608189,1 +181192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.931521458,1 +181190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,7.922692534,1 +181193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.854820887,1 +181195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,7.305538105,1 +181191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.937351733,1 +181194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.806919177,1 +181197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.38567572,1 +181196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.830028304,1 +181198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.001005143,1 +181201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.653366308,1 +181199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.086522522,1 +181202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.600594305,1 +181203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.096621034,1 +181204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.100192528,1 +181200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.730288682,1 +181207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.599352586,1 +181206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.149478657,1 +181205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.879250199,1 +181208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.56057933,1 +181209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.519167616,1 +181210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.282522135,1 +181212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.73722984,1 +181211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.17456104,1 +181214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.397828143,1 +181213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.878381804,1 +181215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.400498922,1 +181217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.223348969,1 +181218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.111951616,1 +181216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.49238334,1 +181219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.927545234,1 +181220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.505913416,1 +181221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.490092543,1 +181222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.603701566,1 +181224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.019988958,1 +181225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.481578296,1 +181223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.674751469,1 +181226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.197223953,1 +181227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.306464973,1 +181228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.281104523,1 +181229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.218376388,1 +181230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,9.791051673,1 +181231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,1.511586764,1 +181232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.153770565,1 +181233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.323462165,1 +181234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.7392514,1 +181235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.065614991,1 +181236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,8.27370293,1 +181237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.671934173,1 +181239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.531600442,1 +181238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.625368095,1 +181240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.863162379,1 +181242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,7.543652239,1 +181243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.124642385,1 +181241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,7.11205873,1 +181245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.203589079,1 +181246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.212546271,1 +181247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,1.933264929,1 +181244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.327691015,1 +181248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.634500652,1 +181249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.112058283,1 +181250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,7.989862403,1 +181251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.47987389,1 +181252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.258719118,1 +181253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.125963066,1 +181254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.265898915,1 +181256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.97179727,1 +181255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.330261264,1 +181257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.671496103,1 +181258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,7.304952098,1 +181260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.368288373,1 +181259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.697345794,1 +181261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.713681542,1 +181262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.540583992,1 +181264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.927179747,1 +181265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.749165921,1 +181266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.613591575,1 +181267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.167659663,1 +181269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.395822352,1 +181268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.185151411,1 +181263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.191252971,1 +181270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.242764285,1 +181272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.967277992,1 +181271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.117199454,1 +181273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.98372635,1 +181274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,9.532290618,1 +181275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.316600573,1 +181276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.612375961,1 +181277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.281979755,1 +181278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.375680869,1 +181279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.444654457,1 +181280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.181628002,1 +181282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.447875716,1 +181283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.295288415,1 +181284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.426834869,1 +181281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.325324996,1 +181285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.415061126,1 +181286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.452832223,1 +181287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.595385042,1 +181288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.321286375,1 +181289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.000924002,1 +181290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.095662712,1 +181291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.48676053,1 +181293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.564524597,1 +181292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.913985789,1 +181294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.492473649,1 +181295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.361338101,1 +181296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.694453934,1 +181297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.04526292,1 +181298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.555338126,1 +181299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.166532233,1 +181300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.637206042,1 +181302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.426054367,1 +181303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.75191457,1 +181304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.179748988,1 +181301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.203804984,1 +181305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.576163675,1 +181306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.494121205,1 +181307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.88378853,1 +181308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.00636423,1 +181309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.633348676,1 +181310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.931138069,1 +181311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.984429171,1 +181314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.769237316,1 +181313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.773827249,1 +181312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.614202979,1 +181315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.147166926,1 +181316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.271635681,1 +181317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.047647631,1 +181319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.000478242,1 +181318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.669326471,1 +181321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.231947482,1 +181320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.225842089,1 +181322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.100189234,1 +181324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.413308528,1 +181325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.63343876,1 +181326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.523578022,1 +181323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.241580942,1 +181328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.09143217,1 +181327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.810237552,1 +181329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.224154741,1 +181332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.434888299,1 +181331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.66135404,1 +181330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.96394728,1 +181333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,7.370628291,1 +181334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.843900464,1 +181335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.796130583,1 +181336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.623410529,1 +181337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.019997636,1 +181338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.556936026,1 +181339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.216649414,1 +181340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.40959955,1 +181342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.225264143,1 +181341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.375026171,1 +181343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.467965302,1 +181345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.830724124,1 +181346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.724515604,1 +181347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.843933346,1 +181349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.615453966,1 +181344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.288327841,1 +181350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.254831357,1 +181348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.98743344,1 +181351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.696022677,1 +181352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.194170956,1 +181353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.745738624,1 +181354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.117829528,1 +181355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.45565567,1 +181356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.945534183,1 +181357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.39467602,1 +181358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.705376714,1 +181359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.218405417,1 +181362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.052063215,1 +181361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.197983713,1 +181363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.61392801,1 +181364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.571899941,1 +181360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.464252512,1 +181366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.075806072,1 +181365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.623886007,1 +181367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.179340986,1 +181368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.53464448,1 +181369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.466564663,1 +181370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,1.808768944,1 +181371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.393480164,1 +181372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.018569154,1 +181373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.500002643,1 +181374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.251637281,1 +181375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.58946412,1 +181377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.140592888,1 +181378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.748611886,1 +181376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.625814249,1 +181379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.888019749,1 +181380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.10981996,1 +181381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.329064869,1 +181383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.328657819,1 +181382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.811965429,1 +181384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,7.233332618,1 +181385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.772914056,1 +181386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.138499574,1 +181387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.743757307,1 +181388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.995886766,1 +181389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.728008413,1 +181390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.92287706,1 +181392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.900803302,1 +181393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.623314539,1 +181391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.776556885,1 +181395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.715070633,1 +181396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.152346547,1 +181394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.109878343,1 +181398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.196768572,1 +181399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.021306368,1 +181400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.377558788,1 +181401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.895386985,1 +181397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.979065101,1 +181402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.725085641,1 +181403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.680185283,1 +181404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.911358524,1 +181406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,7.352638476,1 +181407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.695282049,1 +181405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.441540738,1 +181408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.101972639,1 +181410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.516086101,1 +181409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.044833863,1 +181411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.885896866,1 +181412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.425330922,1 +181413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,8.466632925,1 +181414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.157214209,1 +181416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.947655673,1 +181418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.067197455,1 +181417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.264243947,1 +181415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.980096825,1 +181419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.358801227,1 +181420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.862368712,1 +181421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.015657131,1 +181423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.490250919,1 +181422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.953168926,1 +181425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.13005704,1 +181424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.183315401,1 +181427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.211795305,1 +181426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.643454393,1 +181428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.057499208,1 +181429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.329921335,1 +181430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.613097873,1 +181431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,8.045168359,1 +181432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.991273816,1 +181433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.35915968,1 +181435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.512569051,1 +181436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.755135432,1 +181434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.355018533,1 +181437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.460411632,1 +181438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.556888625,1 +181439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.448055699,1 +181441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.239707434,1 +181442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.577200839,1 +181440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.439409827,1 +181444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.266883182,1 +181443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.73454689,1 +181445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.864313288,1 +181446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.748043968,1 +181447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.532049313,1 +181448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.577371575,1 +181449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.298493353,1 +181450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.806908623,1 +181452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.335640256,1 +181451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.011048734,1 +181453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.274922988,1 +181454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.325525502,1 +181456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.170755072,1 +181455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.021491811,1 +181457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.82829447,1 +181460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.41890981,1 +181459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.762248412,1 +181458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,7.298947961,1 +181461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.268248139,1 +181462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.813234856,1 +181463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.367044444,1 +181465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.638893097,1 +181464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.952835038,1 +181467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.249905066,1 +181466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.296766291,1 +181468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.195955399,1 +181470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.418654899,1 +181469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.816789329,1 +181471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.797829621,1 +181472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.175599776,1 +181474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.987475566,1 +181475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.06329802,1 +181476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.862303967,1 +181473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.384370551,1 +181478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.284389427,1 +181479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.219800251,1 +181480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.388971848,1 +181481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.216553751,1 +181482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.420000665,1 +181483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.652590832,1 +181477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.853513703,1 +181484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.479901424,1 +181485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.490675152,1 +181486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.28810428,1 +181487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.115083201,1 +181488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.626152284,1 +181489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.076849887,1 +181491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.447273265,1 +181492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.301527283,1 +181493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.844623896,1 +181490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.975609313,1 +181494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.495325931,1 +181495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.773830297,1 +181496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.627440183,1 +181497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.781844165,1 +181499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.910528477,1 +181500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.766921091,1 +181501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.763609061,1 +181498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.526446442,1 +181504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.728983578,1 +181505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.080808812,1 +181503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.615374561,1 +181502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.433482371,1 +181506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.939695258,1 +181508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.549405967,1 +181509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.910401709,1 +181507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.928794874,1 +181511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.218459844,1 +181512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.323030796,1 +181513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.956442796,1 +181515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.461199322,1 +181514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.678681831,1 +181510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.935440401,1 +181517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.456779453,1 +181519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.402300241,1 +181518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.934198398,1 +181516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.35063801,1 +181520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.335276018,1 +181521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.81403144,1 +181522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.725524294,1 +181524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.342185028,1 +181523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.11740682,1 +181525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.986856162,1 +181526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.441273885,1 +181527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.529610634,1 +181528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.750475473,1 +181530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.760907907,1 +181529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.185021773,1 +181533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.081325342,1 +181532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.531434531,1 +181531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.575776381,1 +181534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.73455519,1 +181535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,7.184753852,1 +181536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.487224377,1 +181537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.576231594,1 +181538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.633850894,1 +181539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.716780669,1 +181541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.664178223,1 +181540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.740397358,1 +181542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.407900686,1 +181543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.910339862,1 +181544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.852386361,1 +181545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.529195783,1 +181547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.443784593,1 +181548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.243465546,1 +181549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.341191254,1 +181546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.356249769,1 +181550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.660789735,1 +181551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.590385463,1 +181553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.50437327,1 +181552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.234429345,1 +181554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,7.971900527,1 +181555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.544688489,1 +181556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.342586327,1 +181557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.005979383,1 +181558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.690045926,1 +181559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.900587309,1 +181560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.771989373,1 +181562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.031445432,1 +181561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.681626191,1 +181563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.871112132,1 +181565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.661973855,1 +181564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.142829115,1 +181567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.156904832,1 +181568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.636866927,1 +181569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.1616675,1 +181566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.639140985,1 +181570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.922696175,1 +181571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.990973214,1 +181572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.707308354,1 +181574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,1.607067534,1 +181575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.683005718,1 +181576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.248995203,1 +181573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.528585286,1 +181577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.22190295,1 +181578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.990953129,1 +181579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.720360994,1 +181580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.065147858,1 +181582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.645657158,1 +181581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.276032537,1 +181583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.159732797,1 +181585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.176088739,1 +181587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.856871943,1 +181586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.623971127,1 +181584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.630424605,1 +181588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.661866927,1 +181589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.464863305,1 +181590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.923592336,1 +181592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.618929099,1 +181593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.182185231,1 +181594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.165543983,1 +181591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.13627497,1 +181595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.063444372,1 +181596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.433814665,1 +181598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.594077048,1 +181597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.917989951,1 +181599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.183762948,1 +181600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.983179922,1 +181602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.368146058,1 +181601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,8.105146805,1 +181603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.057490073,1 +181604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.796515982,1 +181605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.419776092,1 +181606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.084081896,1 +181608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.397038642,1 +181607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.663869622,1 +181609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.975918633,1 +181610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.902818282,1 +181613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.541587367,1 +181612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.790606306,1 +181611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.765282457,1 +181614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.957300421,1 +181615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.021101034,1 +181616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.386890383,1 +181617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.708041945,1 +181620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.77216216,1 +181618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.146420976,1 +181619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.219139455,1 +181621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.546678198,1 +181622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.723247141,1 +181623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.343667593,1 +181624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.011086759,1 +181625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.331494171,1 +181626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.503235789,1 +181628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.481598912,1 +181627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.988571766,1 +181629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.488186212,1 +181631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.582153973,1 +181630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.489313048,1 +181632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.968816971,1 +181633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.700766918,1 +181634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.936328071,1 +181635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.328519299,1 +181638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,7.709689014,1 +181637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.451622134,1 +181636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.50963589,1 +181639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.394274287,1 +181641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.868719807,1 +181640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.502214366,1 +181643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.598569687,1 +181642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.174528011,1 +181646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.275566439,1 +181644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.080345109,1 +181645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.141732089,1 +181648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.84532927,1 +181647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.207954666,1 +181650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.181906509,1 +181649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.838209941,1 +181651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.741928717,1 +181652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,7.739785636,1 +181653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,7.541494925,1 +181655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.660216201,1 +181657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.26968678,1 +181654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.872011941,1 +181656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.234569646,1 +181660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.492915154,1 +181658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.787053885,1 +181659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.940705,1 +181663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.090770839,1 +181664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.185711369,1 +181662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.622308218,1 +181661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.623341002,1 +181665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.792327499,1 +181666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.328542831,1 +181667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.181294484,1 +181669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.172228271,1 +181670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.818144467,1 +181671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.366634843,1 +181668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.0001526,1 +181674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.149097671,1 +181673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.716117561,1 +181672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.807315152,1 +181675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.551700511,1 +181677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.034415064,1 +181678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.209069204,1 +181679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.419917474,1 +181681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,8.468432008,1 +181680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.123493116,1 +181676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.818040818,1 +181683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.578394468,1 +181684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.970141716,1 +181685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.095453877,1 +181688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.34965306,1 +181682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.973680221,1 +181686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.959151889,1 +181687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.705304417,1 +181689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.487921515,1 +181690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.39401982,1 +181691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.173675843,1 +181692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.499107694,1 +181694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.741744778,1 +181695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.928164713,1 +181696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.685842576,1 +181693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.981314735,1 +181697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.779914338,1 +181698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.960330403,1 +181699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.1995993,1 +181700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.933633384,1 +181702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.130191577,1 +181701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.883468405,1 +181703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.632598175,1 +181704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.354225753,1 +181705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.638206562,1 +181707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.263141352,1 +181708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.067680911,1 +181706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.139142725,1 +181709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.151372374,1 +181710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.885994413,1 +181712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.522367007,1 +181713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.310385996,1 +181714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,7.017661993,1 +181711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.747544012,1 +181715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.213261063,1 +181716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,8.699166962,1 +181717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.862418513,1 +181718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.698927637,1 +181720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.695992794,1 +181719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.63290297,1 +181721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.405871537,1 +181722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.47442391,1 +181723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.08404128,1 +181724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.832943284,1 +181725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.398517902,1 +181726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.707851022,1 +181727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.851095346,1 +181728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.808430564,1 +181729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.472629056,1 +181730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.681886438,1 +181731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.868454984,1 +181732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.547317286,1 +181733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.202904275,1 +181735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.387974276,1 +181734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.585700539,1 +181737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.980908121,1 +181736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.353720826,1 +181738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.198316896,1 +181739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.782728498,1 +181740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,8.075939633,1 +181741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.846157769,1 +181742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.867986935,1 +181743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.836281526,1 +181744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.544069988,1 +181745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.439226937,1 +181746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.244667608,1 +181747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.845625207,1 +181748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.470683716,1 +181749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.394832808,1 +181750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.016005466,1 +181751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.13616088,1 +181752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.956381754,1 +181754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.757630763,1 +181755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.586473636,1 +181756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.41928083,1 +181757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.226135188,1 +181753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.013651476,1 +181758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.650047753,1 +181759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.237564415,1 +181760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.606684237,1 +181762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.981374825,1 +181763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.831181167,1 +181761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.471751412,1 +181764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.797966525,1 +181765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.69422455,1 +181767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.000006778,1 +181766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.829850368,1 +181768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.012366477,1 +181769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.219819924,1 +181771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.28989842,1 +181770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.544367622,1 +181772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.487798101,1 +181773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.113154079,1 +181774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.382511269,1 +181776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.492656672,1 +181777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.597961645,1 +181778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.951437475,1 +181779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.165489261,1 +181775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.953184736,1 +181781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,7.159081324,1 +181780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.82100619,1 +181783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.574146839,1 +181782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.719059159,1 +181785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.210416443,1 +181784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.558133935,1 +181787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.728467051,1 +181786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.161566586,1 +181789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.916736376,1 +181788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.665252307,1 +181790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.67445294,1 +181792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.996489635,1 +181793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.532681455,1 +181794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.836536183,1 +181791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.548707646,1 +181796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.716841561,1 +181795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.477517069,1 +181797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.162242847,1 +181798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.866294853,1 +181799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.484293671,1 +181800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.077391849,1 +181801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.518573406,1 +181802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.122876994,1 +181803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.340195129,1 +181804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.453239931,1 +181805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.221369198,1 +181807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.635838055,1 +181806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.580852863,1 +181808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.737382355,1 +181809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.254282575,1 +181810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.514688628,1 +181813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.880568371,1 +181812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.033181224,1 +181811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.660848505,1 +181815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.07209633,1 +181814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.982138299,1 +181816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.382471127,1 +181817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.494693237,1 +181818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.51008758,1 +181819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.003872828,1 +181820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,7.041149835,1 +181822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.276541125,1 +181823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.119981065,1 +181821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.000761491,1 +181824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.453309028,1 +181826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.911672075,1 +181825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.987317012,1 +181827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.187934431,1 +181828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.850055606,1 +181829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.559804726,1 +181830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.188175707,1 +181832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.342149505,1 +181833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.265642793,1 +181834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.572487581,1 +181835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.293556784,1 +181836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.621394454,1 +181837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.998373801,1 +181831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.114872394,1 +181838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,9.105308831,1 +181840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.905747537,1 +181839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.106680618,1 +181841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.508190662,1 +181842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.672748744,1 +181844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.713971717,1 +181843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.422603752,1 +181845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.880970359,1 +181846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.333592096,1 +181847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.544986417,1 +181848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.626984263,1 +181850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.561880198,1 +181849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.665788382,1 +181851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,7.436115167,1 +181852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.238236417,1 +181853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.1289438,1 +181855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,8.531044631,1 +181856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.730633378,1 +181857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.471454368,1 +181859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.097871357,1 +181858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.259046723,1 +181854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.887424601,1 +181860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.261416362,1 +181861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,7.383104468,1 +181862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.866965488,1 +181863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.098791187,1 +181864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.973210231,1 +181865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.454833817,1 +181866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.636467723,1 +181867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.17716671,1 +181868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.811235433,1 +181869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.907355566,1 +181870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.670602436,1 +181872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.506474939,1 +181871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.916816951,1 +181873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.542234933,1 +181874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.876235757,1 +181875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.393894798,1 +181876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.156490284,1 +181877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,7.820802668,1 +181878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.417065713,1 +181879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.659797924,1 +181880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.7929164,1 +181881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.5185934,1 +181882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.471152307,1 +181883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.895533295,1 +181885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.845360568,1 +181886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,8.419939646,1 +181884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.87944127,1 +181887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.432567309,1 +181888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.124731099,1 +181889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.857394862,1 +181891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.993168982,1 +181892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.814569133,1 +181890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.748237991,1 +181894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.197048347,1 +181893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.623389533,1 +181895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.80784604,1 +181896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.788502082,1 +181897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.097639578,1 +181899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.187367477,1 +181898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.786790519,1 +181900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.697674639,1 +181901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.481202061,1 +181902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.205825055,1 +181904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.334660521,1 +181903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.523499607,1 +181905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,1.815853402,1 +181906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.244558094,1 +181908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.538519349,1 +181909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.732058556,1 +181910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.302828619,1 +181907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,7.102164022,1 +181912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.654662292,1 +181913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.329709821,1 +181915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.402381069,1 +181914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.801654037,1 +181916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.902486538,1 +181911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.235641843,1 +181918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.309379418,1 +181917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.187554246,1 +181920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.786680528,1 +181919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.070874437,1 +181921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.403106274,1 +181922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.548007249,1 +181923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,7.118234271,1 +181924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.707020179,1 +181926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.67356739,1 +181927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.459259894,1 +181928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.532664168,1 +181930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.363841986,1 +181931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.602820849,1 +181925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.899394688,1 +181932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.843396109,1 +181929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.992621907,1 +181934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.424137153,1 +181933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.613593501,1 +181936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.105948047,1 +181935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.999682842,1 +181937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.569844028,1 +181938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.165122727,1 +181939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.80357743,1 +181940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.875439105,1 +181943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.551982019,1 +181942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.600843144,1 +181941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.630806785,1 +181944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.818431425,1 +181946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.632743031,1 +181948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.566740789,1 +181945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.881943917,1 +181949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.444186878,1 +181947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.812654276,1 +181951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.37740238,1 +181950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.249780659,1 +181952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,8.866743999,1 +181953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.668274216,1 +181954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.079756048,1 +181955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.205360026,1 +181956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.374084419,1 +181958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.493212187,1 +181957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.270599101,1 +181959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.012632807,1 +181960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.037445018,1 +181961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.352650662,1 +181963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.148372804,1 +181964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.813707208,1 +181962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.587855995,1 +181965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.088341652,1 +181966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.867142807,1 +181967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.806035245,1 +181968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.953100094,1 +181969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.70854805,1 +181970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.548428363,1 +181971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.196406202,1 +181973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.408619407,1 +181974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.59429441,1 +181972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.433434701,1 +181975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.84677759,1 +181976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.620052205,1 +181977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.604718685,1 +181978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.408246269,1 +181979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.86753664,1 +181981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.245415378,1 +181980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.042065252,1 +181985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.426066133,1 +181983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.031188306,1 +181984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.511249367,1 +181986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.822529724,1 +181988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.165003593,1 +181987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.963895806,1 +181989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.206869099,1 +181991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.804778682,1 +181990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.710538176,1 +181982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,5.471397422,1 +181992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.897193459,1 +181993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.239173599,1 +181994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.951024566,1 +181995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.66563457,1 +181997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,6.423875251,1 +181996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.060231972,1 +181998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,4.681506294,1 +181999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,3.806705581,1 +182000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,2,1,2.043931472,1 +191001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.314071679,1 +191002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.064738176,1 +191003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.202483659,1 +191006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.247439613,1 +191005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.296254128,1 +191004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.282903046,1 +191007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.486587431,1 +191008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.438815427,1 +191009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.152983565,1 +191011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.48418913,1 +191010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.620130533,1 +191012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.450811353,1 +191013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.183753344,1 +191014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.185980442,1 +191016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.881269071,1 +191015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.523476128,1 +191017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.519701195,1 +191018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.823306359,1 +191019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.622902525,1 +191021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.985028017,1 +191020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.104723662,1 +191023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.870857473,1 +191025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.499427627,1 +191024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.793458366,1 +191026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.113420241,1 +191022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.555775375,1 +191028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.268445599,1 +191029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.881020132,1 +191027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.025663914,1 +191030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.688484027,1 +191031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.917370512,1 +191032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.836355307,1 +191035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.316232867,1 +191034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.34073227,1 +191033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.622966457,1 +191038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.982647982,1 +191036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.316127352,1 +191039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.010326335,1 +191037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.353452601,1 +191041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.279775918,1 +191043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.021330457,1 +191040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.479070269,1 +191044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.200868917,1 +191045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.801756989,1 +191042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.453940422,1 +191046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.540994293,1 +191047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.378808059,1 +191048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.493957181,1 +191050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.944544676,1 +191051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.807973071,1 +191049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.924409266,1 +191053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.702159874,1 +191052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.084214083,1 +191055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.317836092,1 +191056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.945545111,1 +191054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.600666119,1 +191057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.864872437,1 +191058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.426496163,1 +191061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.349607927,1 +191060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.477796455,1 +191059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.042760799,1 +191063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.493869752,1 +191064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.778105598,1 +191062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.413754872,1 +191067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.757964936,1 +191065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.351110781,1 +191066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.573634256,1 +191070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,1.503678934,1 +191068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.021776344,1 +191071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.381064052,1 +191069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.68278691,1 +191072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.488471149,1 +191074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.033950516,1 +191073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.552933928,1 +191075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.81369583,1 +191077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.266658001,1 +191079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.380964863,1 +191078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.13558678,1 +191080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.744859106,1 +191081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.685103155,1 +191076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.976147597,1 +191082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.340584435,1 +191085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.338742779,1 +191083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.950209141,1 +191084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.332689352,1 +191086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.010306631,1 +191087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.216119128,1 +191088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.228650481,1 +191089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.853245591,1 +191090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.702164611,1 +191091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.811095783,1 +191093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.165374388,1 +191092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.467683449,1 +191094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.135004488,1 +191096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.512987547,1 +191097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.517473573,1 +191099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.547597609,1 +191095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.043884461,1 +191100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.745036758,1 +191098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.782267346,1 +191102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.113830116,1 +191101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.198057683,1 +191103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.544940858,1 +191104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.069217138,1 +191105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.226819529,1 +191106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.521315513,1 +191107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.248653259,1 +191108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.866653737,1 +191109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.633376746,1 +191110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.324329526,1 +191111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.253663498,1 +191112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.144239471,1 +191114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,9.149224789,1 +191115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.461489837,1 +191113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.59023206,1 +191116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.356590119,1 +191119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.369214315,1 +191118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.903194364,1 +191120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.087887783,1 +191121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.114257624,1 +191117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.280888766,1 +191122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.255839508,1 +191123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.196399889,1 +191124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.56271809,1 +191126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.004282825,1 +191125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.32894604,1 +191127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,9.766792823,1 +191128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.872348789,1 +191129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.19405218,1 +191130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.037931752,1 +191132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.885753982,1 +191131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.345493783,1 +191134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.101035226,1 +191135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.007510871,1 +191136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.824102416,1 +191133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.63576464,1 +191138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.106116735,1 +191139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.503727129,1 +191140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.354333484,1 +191137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.196396162,1 +191141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.244224243,1 +191142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.440118325,1 +191143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.996191164,1 +191144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.496316441,1 +191147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.027616624,1 +191145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.545377786,1 +191148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.323863327,1 +191146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.121161654,1 +191151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.875528983,1 +191150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.059499542,1 +191152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.117308323,1 +191149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.767833867,1 +191153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.661493946,1 +191154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.1874904,1 +191155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.242866239,1 +191156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,8.106885836,1 +191158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.648502564,1 +191159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.26865281,1 +191157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.294603114,1 +191160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.776643057,1 +191161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.323350242,1 +191164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.825408946,1 +191163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.247493754,1 +191162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.722789143,1 +191165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.111931182,1 +191167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.357041694,1 +191166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.224292281,1 +191168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.280104713,1 +191169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.290382999,1 +191170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.367714963,1 +191172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.750540888,1 +191173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.695806196,1 +191171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.254691733,1 +191175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.139202373,1 +191177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.442131029,1 +191176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.101988447,1 +191174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.283577201,1 +191178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.120914622,1 +191179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.514799707,1 +191180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.347833383,1 +191181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.446256369,1 +191182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.455660119,1 +191183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.490416041,1 +191184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.854483451,1 +191185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.476844654,1 +191186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.695455114,1 +191188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.355152043,1 +191189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.977007195,1 +191187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.286611544,1 +191190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.682802305,1 +191191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.941821187,1 +191192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.796548549,1 +191193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.644960518,1 +191194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.937766318,1 +191195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.135528492,1 +191196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.596260038,1 +191197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.678878653,1 +191198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.959685298,1 +191199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.29799073,1 +191200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.115319348,1 +191201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.12418017,1 +191202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.452940799,1 +191203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.186425803,1 +191204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.6313762,1 +191205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.631522863,1 +191207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.135043814,1 +191208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.398712342,1 +191209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.229127071,1 +191210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.661243691,1 +191211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.828863034,1 +191212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.566506539,1 +191206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.552875712,1 +191213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.483945953,1 +191214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.176050789,1 +191215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.908337527,1 +191217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.355687649,1 +191216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.957185603,1 +191218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.27834682,1 +191220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.562009655,1 +191219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.39786197,1 +191221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.556758819,1 +191222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.261637999,1 +191223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.943359926,1 +191225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.95164976,1 +191224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.585278522,1 +191226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.13370464,1 +191227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.963590693,1 +191229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.725850102,1 +191230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.856131724,1 +191231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.170788606,1 +191232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.17163598,1 +191233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.299208645,1 +191234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.245519243,1 +191235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.599358295,1 +191228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,9.064874784,1 +191236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.732877303,1 +191237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.819552576,1 +191238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.742062352,1 +191240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.174853021,1 +191239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.268067119,1 +191241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.486604903,1 +191242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.417372285,1 +191243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.442521279,1 +191244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.107306016,1 +191246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.859493801,1 +191245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.172682933,1 +191248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.766633463,1 +191247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.855574145,1 +191249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.349365277,1 +191250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.965610134,1 +191251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.85400469,1 +191253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.775521882,1 +191254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.703894007,1 +191255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.714673566,1 +191252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.794401283,1 +191256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.701672037,1 +191257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.478832215,1 +191259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.089182249,1 +191260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.099476058,1 +191261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.383185143,1 +191258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.856884197,1 +191262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.699736646,1 +191263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.352516878,1 +191264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.212843043,1 +191266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.919587157,1 +191267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.987878836,1 +191268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.141225089,1 +191265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.294899779,1 +191272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.00721058,1 +191270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.664566888,1 +191269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.959807508,1 +191271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.365214759,1 +191273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.613636353,1 +191274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.942726549,1 +191275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.177083929,1 +191276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.077940003,1 +191278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.545740193,1 +191280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.764666742,1 +191279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.730813287,1 +191281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.972511329,1 +191282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.355624319,1 +191277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.608791229,1 +191283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.27624876,1 +191284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.390807595,1 +191286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.289437773,1 +191285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.455803777,1 +191287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.737695859,1 +191288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.848792225,1 +191289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.061476792,1 +191290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.951597338,1 +191293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.510858025,1 +191292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.928047108,1 +191291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.824016953,1 +191294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.627828979,1 +191296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.648886172,1 +191297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.423966533,1 +191298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.692931588,1 +191295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.008220654,1 +191300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.944062697,1 +191299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.62234166,1 +191301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.200497472,1 +191302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.917797174,1 +191303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.115122457,1 +191304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.529836147,1 +191305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.343336073,1 +191306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.593671418,1 +191308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.806432344,1 +191307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.329569,1 +191309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.276387228,1 +191310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.129407345,1 +191311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.351076174,1 +191312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.073689902,1 +191313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.200778356,1 +191315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.83738285,1 +191316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.503116697,1 +191314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.22609984,1 +191317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.641116386,1 +191320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.88485584,1 +191321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.93484864,1 +191319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.851601287,1 +191322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.195176669,1 +191323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.852355475,1 +191324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.391547052,1 +191318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.898377825,1 +191325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.712539415,1 +191326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.736881094,1 +191327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.400705625,1 +191329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.721713994,1 +191330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.022142625,1 +191328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.257253568,1 +191331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.566036787,1 +191332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.224347664,1 +191334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.355516098,1 +191333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.684403638,1 +191336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.317187034,1 +191338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.158052819,1 +191335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.446446894,1 +191337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.986784296,1 +191339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.925516511,1 +191340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.820504669,1 +191341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.267963731,1 +191343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.824863811,1 +191344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.675537966,1 +191345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.690590447,1 +191342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.306733096,1 +191346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.535052726,1 +191349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.561338903,1 +191347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.402201127,1 +191350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.640770451,1 +191348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.473822262,1 +191352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.329783655,1 +191351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.937140204,1 +191353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.777259434,1 +191355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.872046011,1 +191356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.249142877,1 +191357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.218585779,1 +191354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.08429458,1 +191358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.982522633,1 +191359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.607077587,1 +191360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.846685031,1 +191361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.242855967,1 +191363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.751855318,1 +191362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.356316957,1 +191365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.86751954,1 +191364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.06916633,1 +191366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.757974568,1 +191367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.788535122,1 +191369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.669147598,1 +191370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.914941005,1 +191371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.655350753,1 +191372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.773544982,1 +191373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.987803546,1 +191374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.29203208,1 +191368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.273717824,1 +191377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.891932959,1 +191375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.712516571,1 +191378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.307186647,1 +191376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.351899408,1 +191380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.323770404,1 +191381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.769158485,1 +191379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.631428035,1 +191382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.114520611,1 +191383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.078600497,1 +191384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.021867696,1 +191385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.741770228,1 +191386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.466471205,1 +191387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.815091136,1 +191389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.979105208,1 +191390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.952148189,1 +191391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.781312622,1 +191392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.430008775,1 +191388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.429894592,1 +191393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.04918788,1 +191394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.289620129,1 +191396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.440429097,1 +191395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.536020977,1 +191397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,1.927167987,1 +191399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.409826187,1 +191398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.782947197,1 +191400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.015900214,1 +191401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.706386072,1 +191402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.215586656,1 +191403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.307928075,1 +191404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.901687188,1 +191405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.206189143,1 +191407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.219839914,1 +191408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.092411915,1 +191409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.96119918,1 +191406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.442172484,1 +191410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.744869989,1 +191412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.261541183,1 +191414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.81449045,1 +191413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.319434561,1 +191415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.42844024,1 +191411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.284318028,1 +191416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.135594531,1 +191417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.438283861,1 +191418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.586203311,1 +191420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.519000517,1 +191421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.384782756,1 +191422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.151028274,1 +191419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.069299698,1 +191423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.664570107,1 +191426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.104977247,1 +191425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.79775121,1 +191424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,1.668734623,1 +191427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.453639469,1 +191428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.242018026,1 +191429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.000649273,1 +191430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.132331769,1 +191431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.910515097,1 +191433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.217823844,1 +191434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.477207054,1 +191435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.944264039,1 +191436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.434847817,1 +191432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.746526909,1 +191437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.072704709,1 +191438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.09777675,1 +191440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.960153649,1 +191439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.60461739,1 +191441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.435717063,1 +191442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.961067874,1 +191443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.528725792,1 +191444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.59221342,1 +191445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.048503388,1 +191446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.021719202,1 +191447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.867969377,1 +191448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.930262142,1 +191450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.656105845,1 +191449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.733654042,1 +191452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.374519217,1 +191453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.394295598,1 +191451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.639014949,1 +191454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.149821478,1 +191455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.560415585,1 +191457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.624331775,1 +191456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.18112922,1 +191458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.865917557,1 +191459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.299078757,1 +191460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.947377742,1 +191461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.920353706,1 +191463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.039556155,1 +191464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.265758218,1 +191462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.072425714,1 +191465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.858507229,1 +191466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.468487534,1 +191468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.868404607,1 +191469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.261662188,1 +191467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.014424785,1 +191470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.903494956,1 +191472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.504759898,1 +191473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.04867693,1 +191474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.137198167,1 +191475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.566851758,1 +191471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.400134515,1 +191476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.909058447,1 +191477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.610646167,1 +191478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.843815294,1 +191480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.502363989,1 +191481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.84200172,1 +191482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.809240685,1 +191479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.433802183,1 +191483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.450746306,1 +191485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.004887341,1 +191486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.326702905,1 +191484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.020252801,1 +191487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.818656195,1 +191488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.80010393,1 +191489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.05134863,1 +191490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.827559609,1 +191491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.542053894,1 +191492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.83856885,1 +191494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.460983181,1 +191495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.363102274,1 +191496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.65589409,1 +191497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.900236151,1 +191498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.947034825,1 +191493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.378503958,1 +191500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.899652369,1 +191499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.619195179,1 +191502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.654425645,1 +191501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,8.197919643,1 +191503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.436976911,1 +191504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.622960038,1 +191505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.769078906,1 +191506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.263663652,1 +191507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.646718382,1 +191508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.862073199,1 +191509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.118499605,1 +191510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.119078712,1 +191511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.156585922,1 +191512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.269054468,1 +191514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.176017267,1 +191515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.938538091,1 +191516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.27674103,1 +191513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.917768225,1 +191517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.688579264,1 +191518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.051354518,1 +191519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.988010623,1 +191520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.730952405,1 +191521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.125423778,1 +191523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.704829826,1 +191522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.285706436,1 +191524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.357004919,1 +191525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.508190103,1 +191526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.248614509,1 +191527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.517675551,1 +191528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.387069686,1 +191529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.737217162,1 +191530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.784945961,1 +191531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.424932663,1 +191533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.684775381,1 +191534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.01343103,1 +191532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.466857311,1 +191536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.738950972,1 +191537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.822368017,1 +191538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.361619014,1 +191539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.363303042,1 +191540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.32532773,1 +191535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.573657582,1 +191541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.549143769,1 +191542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.477508227,1 +191543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.349792786,1 +191544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.073120658,1 +191547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.661148627,1 +191548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.165842998,1 +191545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.797568633,1 +191546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.955049723,1 +191549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.132508674,1 +191550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.684363638,1 +191551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.35444372,1 +191552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.847133988,1 +191553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.879370079,1 +191554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.585956227,1 +191556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.588345512,1 +191557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.142652105,1 +191555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.074906689,1 +191559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.452621698,1 +191560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.966917264,1 +191561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.990369517,1 +191562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.295379774,1 +191558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.660363332,1 +191566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.17694528,1 +191564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.138492704,1 +191563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.963271079,1 +191565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.438652581,1 +191567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.826091105,1 +191568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.801224438,1 +191569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.990939862,1 +191570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.195092406,1 +191571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.844165992,1 +191573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.371237892,1 +191574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.430800392,1 +191572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.344198603,1 +191577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.882507371,1 +191576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.609349311,1 +191578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.82274372,1 +191575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.816664857,1 +191580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.544989436,1 +191579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.350363387,1 +191582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.282121495,1 +191581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.736351416,1 +191583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.409018247,1 +191584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.657721681,1 +191585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.159803105,1 +191587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.340437707,1 +191588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.420040556,1 +191589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.583329965,1 +191586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.85702108,1 +191591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.069140058,1 +191590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.263606514,1 +191594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.021983891,1 +191593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.339900687,1 +191592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.174122525,1 +191595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.810266008,1 +191596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.31633122,1 +191597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.626398043,1 +191598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.612737894,1 +191599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.188966698,1 +191600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.483036315,1 +191602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.487173682,1 +191603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.332432921,1 +191604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,1.935337326,1 +191605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.097717093,1 +191606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.288291954,1 +191601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.850109688,1 +191607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.700106265,1 +191608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.722763996,1 +191609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.047405461,1 +191610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.334907232,1 +191611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.175190269,1 +191613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.207982949,1 +191612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.745679791,1 +191614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.092730915,1 +191616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.116060615,1 +191615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.36418703,1 +191617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.134326824,1 +191618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.511062207,1 +191619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.455605242,1 +191620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.479565689,1 +191621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.091801833,1 +191623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.587576225,1 +191625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.126238673,1 +191624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.303755732,1 +191622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.903713322,1 +191626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.564211583,1 +191627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.775329514,1 +191628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.451256485,1 +191629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.861658251,1 +191630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.72236851,1 +191631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.673283246,1 +191632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.188709986,1 +191634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.426175605,1 +191633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.77371909,1 +191635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.593843063,1 +191636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.661750025,1 +191637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.89824369,1 +191638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.709592523,1 +191639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.189639983,1 +191640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.299555078,1 +191641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.149591365,1 +191643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.704084657,1 +191645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.418570328,1 +191646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.2695507,1 +191644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.778998195,1 +191642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.133320514,1 +191647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.356994473,1 +191648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.81254092,1 +191649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.681980505,1 +191651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.643395345,1 +191650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.044273273,1 +191652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.759964676,1 +191653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.539638012,1 +191654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.022464813,1 +191656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.835116426,1 +191657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.584627541,1 +191655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.622137438,1 +191659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.538889358,1 +191660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.058556382,1 +191658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.564090855,1 +191661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.794544951,1 +191662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.769463311,1 +191663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.646986223,1 +191665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.25760953,1 +191666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.861434664,1 +191667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.461083185,1 +191664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.106961755,1 +191668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.163585719,1 +191669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.156937978,1 +191670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.657158255,1 +191672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.553547746,1 +191671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.687282886,1 +191674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.573029384,1 +191673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.740010045,1 +191676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.579251074,1 +191677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.860468273,1 +191675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.958521148,1 +191678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.648710364,1 +191679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.263424107,1 +191681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.269602947,1 +191682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.256572337,1 +191680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.355317971,1 +191684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.946461991,1 +191685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.362778977,1 +191688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.731699677,1 +191687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.770147518,1 +191683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.384744334,1 +191686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.126580846,1 +191691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.362056012,1 +191692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.057469313,1 +191690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.22667256,1 +191689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.152527224,1 +191694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.264935823,1 +191693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.782811177,1 +191695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.713595362,1 +191696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.91601684,1 +191699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.761705072,1 +191698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.983168806,1 +191700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.649190145,1 +191697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.975384254,1 +191701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.92810494,1 +191703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.248903199,1 +191704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.208494261,1 +191702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.14205165,1 +191705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.644838152,1 +191707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.328146926,1 +191706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.801101137,1 +191708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.821878761,1 +191710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.495273056,1 +191709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.275776332,1 +191711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.262845461,1 +191712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.868793412,1 +191714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.225999396,1 +191715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.44772237,1 +191716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.212906506,1 +191713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.609913891,1 +191718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.113447588,1 +191720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.562611106,1 +191717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.813336385,1 +191721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.418123126,1 +191722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.403885902,1 +191719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.208186422,1 +191724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.066450812,1 +191725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.089900985,1 +191723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.451370125,1 +191726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.396902726,1 +191727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.92991457,1 +191728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.048038352,1 +191729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.097455727,1 +191730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.908076858,1 +191731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,1.613799038,1 +191733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.552494123,1 +191734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.117097588,1 +191735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.11861697,1 +191736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.813353667,1 +191732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.76702095,1 +191737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.938995849,1 +191738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.296223697,1 +191739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.091304598,1 +191740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,9.037586175,1 +191742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.450370074,1 +191741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,8.312372763,1 +191744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.856078997,1 +191745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.801983768,1 +191746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.980331798,1 +191747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.918589125,1 +191743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.248127688,1 +191748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.821132436,1 +191749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.095091796,1 +191751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.677729812,1 +191750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.564136016,1 +191752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.789332096,1 +191753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.508402971,1 +191754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.069756783,1 +191755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.533150243,1 +191757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.962340908,1 +191756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.291963769,1 +191758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.670547614,1 +191759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.483808687,1 +191760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,1.768906247,1 +191761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.683559432,1 +191763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.342607167,1 +191765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.186142162,1 +191764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.197270337,1 +191762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.726188604,1 +191766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.850831994,1 +191767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.980123681,1 +191768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.971207406,1 +191769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.298356084,1 +191770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.524179294,1 +191771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.771199581,1 +191772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.020112239,1 +191773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.009536714,1 +191775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.889281889,1 +191774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.985613253,1 +191776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.415737354,1 +191777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.447954614,1 +191778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.138191048,1 +191779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.400361626,1 +191782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.751340591,1 +191783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.179303296,1 +191781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.291720692,1 +191786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.184192445,1 +191784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.505950583,1 +191785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.499341659,1 +191780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.095652588,1 +191788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.42578303,1 +191789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.233358072,1 +191787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.772212963,1 +191790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.36643565,1 +191791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.627067552,1 +191792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.97304806,1 +191793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.032604732,1 +191794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.492314806,1 +191796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.845566446,1 +191797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.979564582,1 +191795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.299226019,1 +191798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.775744239,1 +191800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.859217109,1 +191801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.185335867,1 +191799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.489371896,1 +191803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.592794531,1 +191804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.395242217,1 +191805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.643233576,1 +191806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.267787215,1 +191808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.05877691,1 +191807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.809895607,1 +191802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.664355632,1 +191809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.015263428,1 +191810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.485093531,1 +191811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.431384398,1 +191812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.610475441,1 +191813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.729618544,1 +191814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.026928245,1 +191815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.412111528,1 +191816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.212145934,1 +191818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.189542425,1 +191817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.867629954,1 +191819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.765546547,1 +191820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.697971591,1 +191822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.702531217,1 +191821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.877439299,1 +191823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.50692151,1 +191825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.317308344,1 +191826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.754880476,1 +191827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.130034143,1 +191828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.347660388,1 +191829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.717351711,1 +191824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.962494909,1 +191830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.840988966,1 +191832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.926103382,1 +191831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.434094269,1 +191833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.422854082,1 +191834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.091521735,1 +191835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.811364843,1 +191836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.820014169,1 +191838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.281920693,1 +191837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.155118829,1 +191839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.524554684,1 +191841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.900237296,1 +191840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.364329011,1 +191842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.664240772,1 +191843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.027280799,1 +191844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.130024462,1 +191846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.187183009,1 +191847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.373480398,1 +191845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.147857003,1 +191848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.535739843,1 +191850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.89317429,1 +191849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.267485067,1 +191852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,8.298056701,1 +191853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.737549182,1 +191851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.647332366,1 +191854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.658897709,1 +191855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.607224722,1 +191856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.628002112,1 +191858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.365914855,1 +191857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.136334375,1 +191859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.190984613,1 +191860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.653681229,1 +191862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.65132002,1 +191863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.118782534,1 +191861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.721452061,1 +191864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.004511147,1 +191866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.959739974,1 +191868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.299458033,1 +191867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.712268956,1 +191865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.878773469,1 +191869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,8.341427704,1 +191870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.574397076,1 +191871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.338492089,1 +191872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.378950447,1 +191873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.245343673,1 +191875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.737778372,1 +191874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.267799995,1 +191876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.445819959,1 +191877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.079700111,1 +191880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.214044807,1 +191879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.900377644,1 +191881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.224030559,1 +191878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.639567746,1 +191882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.222010042,1 +191883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.614039129,1 +191884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.894456055,1 +191885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.056097659,1 +191887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.804637304,1 +191888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,9.507593853,1 +191889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.357633792,1 +191886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.295650973,1 +191890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.510153047,1 +191891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.953331098,1 +191893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.143786895,1 +191894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.205802468,1 +191895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.705971174,1 +191897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.716021924,1 +191896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.03709112,1 +191892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.212241175,1 +191898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.444647503,1 +191899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.82970831,1 +191900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.085002644,1 +191901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.423742739,1 +191902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.698694186,1 +191903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.032099219,1 +191905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.200258924,1 +191906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.774045782,1 +191904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.519577625,1 +191907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.926191267,1 +191908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.071667576,1 +191910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.317066533,1 +191909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.399598025,1 +191911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.635801673,1 +191913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.508415795,1 +191914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.937805603,1 +191915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.989843468,1 +191912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.437744838,1 +191917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.6207286,1 +191916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.710564642,1 +191918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.478291402,1 +191919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.442863277,1 +191920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.871079394,1 +191923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.887383626,1 +191922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.406899113,1 +191921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.411649616,1 +191926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.366633435,1 +191924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.503185561,1 +191927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.794978544,1 +191929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.05368051,1 +191928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.383295099,1 +191930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,9.948919123,1 +191925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.79568613,1 +191931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.695055499,1 +191932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.095190794,1 +191933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.154592291,1 +191936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.380632289,1 +191934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.354116919,1 +191935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.534210686,1 +191937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.544472277,1 +191938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,9.65333925,1 +191939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.8889598,1 +191940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.507193611,1 +191941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.214092823,1 +191942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.262587135,1 +191943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.753921164,1 +191945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.960246433,1 +191944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.883804984,1 +191947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.390971003,1 +191946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.384732621,1 +191948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.083920127,1 +191949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.761437534,1 +191951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.138497202,1 +191952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.449322011,1 +191953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.024242156,1 +191950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.171951397,1 +191954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.120414182,1 +191956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.850492302,1 +191955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.544698322,1 +191957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.509941503,1 +191958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.027266556,1 +191959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.669509135,1 +191960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.614481496,1 +191962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.159227329,1 +191961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.814047538,1 +191963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.335785243,1 +191964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.236973402,1 +191965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.811972515,1 +191967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.638728027,1 +191968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.55998138,1 +191966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.741195059,1 +191969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.69683455,1 +191970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.955312898,1 +191972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.527305746,1 +191973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.841399455,1 +191974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.380199872,1 +191971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.341897225,1 +191975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.569537409,1 +191976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.285254104,1 +191977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.502158249,1 +191980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.653313467,1 +191981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.179117409,1 +191978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.72091356,1 +191979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.666579397,1 +191984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.761985444,1 +191982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.094439776,1 +191985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.586023866,1 +191983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.236217602,1 +191987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.476073594,1 +191986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.98433376,1 +191988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,7.3651573,1 +191989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.131661014,1 +191990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.82769105,1 +191993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.108004488,1 +191992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.265730144,1 +191994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.825472747,1 +191995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.806274866,1 +191991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.399459268,1 +191996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,3.302102435,1 +191997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,5.281920784,1 +191999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,6.328073158,1 +191998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,2.485021627,1 +192000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,2,1,4.319303023,1 +201001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.957431801,1 +201002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.619611506,1 +201004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.697295613,1 +201005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.299768368,1 +201006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.69820816,1 +201003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.163691026,1 +201009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.419569673,1 +201010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.059931514,1 +201007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.620398512,1 +201008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.921124359,1 +201011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.945608665,1 +201013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.853917866,1 +201014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.506576496,1 +201012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.675786947,1 +201016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.949198942,1 +201017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.931591528,1 +201018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.859563932,1 +201015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.624562215,1 +201019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.013699181,1 +201020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.95071308,1 +201022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.104981057,1 +201021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.696875613,1 +201023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.523400578,1 +201024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.430567182,1 +201025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.861480044,1 +201027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.86140914,1 +201028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.555778061,1 +201026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.763786501,1 +201029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.040572162,1 +201030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.402812377,1 +201031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.727962128,1 +201032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.231435278,1 +201034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.912070112,1 +201035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.666437738,1 +201033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.524015423,1 +201036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.600705326,1 +201037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.981355632,1 +201039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.072536293,1 +201041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.061084585,1 +201042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.072325679,1 +201040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.828796557,1 +201038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.964587047,1 +201044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.406779176,1 +201043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.929816549,1 +201045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.568573936,1 +201047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.796204013,1 +201048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.12408915,1 +201046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.906784744,1 +201049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.897351334,1 +201051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,8.408470519,1 +201050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.515917147,1 +201053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.623411462,1 +201052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.736035314,1 +201055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.290071848,1 +201054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.229031508,1 +201056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.112797833,1 +201058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.263145599,1 +201059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.276102432,1 +201057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.528791264,1 +201060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.887426861,1 +201061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.212253505,1 +201063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.606851893,1 +201064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.406188699,1 +201062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.558826148,1 +201065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.622652019,1 +201066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.953242208,1 +201068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.242826909,1 +201069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.420149317,1 +201067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.250993818,1 +201070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.014818618,1 +201071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.954757583,1 +201072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.298178579,1 +201073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.451210692,1 +201075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.483454609,1 +201074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.823453317,1 +201076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.649630202,1 +201077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.12157611,1 +201079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.405939365,1 +201080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.600269059,1 +201081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.176177071,1 +201078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.192115285,1 +201082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.246199027,1 +201085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.46520791,1 +201083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.898067198,1 +201084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.534784174,1 +201087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.599604933,1 +201088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.47715688,1 +201089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.078963266,1 +201086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.621461535,1 +201090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.46735775,1 +201091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.065252077,1 +201092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.798310594,1 +201095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.472175374,1 +201093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.893914905,1 +201096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.724885622,1 +201094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.964755653,1 +201098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.699367785,1 +201099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.541736276,1 +201100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.07022552,1 +201097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.091430622,1 +201101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.411042219,1 +201102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.647580098,1 +201104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.860063477,1 +201103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.109624652,1 +201106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.562341193,1 +201108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.366843306,1 +201107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.95449683,1 +201109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.134322978,1 +201110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.102688885,1 +201105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.682356605,1 +201111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.145799917,1 +201112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.590168036,1 +201114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.021354294,1 +201115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.51276716,1 +201113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.281097032,1 +201116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.879713659,1 +201117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.112330246,1 +201119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.072197634,1 +201118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,8.448456723,1 +201120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.115610441,1 +201121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.707381255,1 +201122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.364003328,1 +201123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.751825084,1 +201124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.25782457,1 +201126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.377959989,1 +201127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.968100771,1 +201128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.97360401,1 +201129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.142440065,1 +201125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.043308963,1 +201130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.359131474,1 +201131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.068378482,1 +201132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.685169408,1 +201134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.97275788,1 +201135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.032102067,1 +201133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.787183205,1 +201136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.692440919,1 +201137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.772531834,1 +201139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.316996762,1 +201138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.864151478,1 +201140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.638703815,1 +201141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.746373893,1 +201142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.857578274,1 +201143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.572842557,1 +201144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.876227928,1 +201145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.19332015,1 +201146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.222867354,1 +201147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.763964187,1 +201148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.245880701,1 +201149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.68095684,1 +201150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.634631108,1 +201152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.342080834,1 +201153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.296777679,1 +201151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.47025981,1 +201154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.863765182,1 +201155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.071785292,1 +201156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.687124314,1 +201157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.829653113,1 +201158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.137645461,1 +201159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.535177399,1 +201160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.556628049,1 +201162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.34498646,1 +201161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.80619333,1 +201163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.299238327,1 +201164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.888424303,1 +201166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.760206089,1 +201167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.335526278,1 +201168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.841890387,1 +201169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.53108111,1 +201170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.888493484,1 +201165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.397360475,1 +201171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.093442356,1 +201172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.353850678,1 +201173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.091475624,1 +201175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.338375148,1 +201176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.777444384,1 +201174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.957225999,1 +201177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.983667731,1 +201178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.462404039,1 +201180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.270864693,1 +201181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.277517378,1 +201182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.597089934,1 +201183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.487675973,1 +201184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.50339634,1 +201185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.633958954,1 +201179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.509683782,1 +201187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.586856855,1 +201188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.069263804,1 +201189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.860925551,1 +201186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.053878992,1 +201192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.068241971,1 +201190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.896390254,1 +201194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.931410305,1 +201193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.207146112,1 +201191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.288022293,1 +201195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.733412199,1 +201197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.555774684,1 +201198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.378764853,1 +201199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.439457866,1 +201200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.820947301,1 +201196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.668248848,1 +201201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.136674294,1 +201203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.616879199,1 +201205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.406680494,1 +201204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.031330239,1 +201202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.93759282,1 +201208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.954556959,1 +201207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.945235863,1 +201206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.812837606,1 +201209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.041090985,1 +201210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.169397678,1 +201212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.737575882,1 +201214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.567065859,1 +201213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.541203535,1 +201215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.9634177,1 +201211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.060032245,1 +201217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,8.402034342,1 +201218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,1.770285214,1 +201219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.622914203,1 +201221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.219916978,1 +201216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.458826567,1 +201222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.252485122,1 +201224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.479224483,1 +201220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,9.193391252,1 +201223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.885271071,1 +201225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.28366053,1 +201226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.315486397,1 +201228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.721682822,1 +201227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.723122758,1 +201230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.814340493,1 +201231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.474680963,1 +201232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.096588036,1 +201229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.41660866,1 +201234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.202332837,1 +201235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.664387571,1 +201236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.155813226,1 +201233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.852878611,1 +201237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.357433421,1 +201239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.691563156,1 +201240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.143701916,1 +201241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.872898173,1 +201242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.526444138,1 +201238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.347516541,1 +201243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.420103912,1 +201244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.065890484,1 +201246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.885546705,1 +201247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,8.435288461,1 +201248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.383544233,1 +201245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.146619582,1 +201249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.304924006,1 +201252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.21116476,1 +201250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.441351895,1 +201253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.498110463,1 +201251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.269487325,1 +201254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.220949851,1 +201255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.849834564,1 +201257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.383177354,1 +201256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.426769069,1 +201258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.59349863,1 +201259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.889262692,1 +201260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.392741203,1 +201261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.456855472,1 +201263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.60966381,1 +201264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.007244912,1 +201265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.060535235,1 +201266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.090380832,1 +201262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.294664691,1 +201267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.671049661,1 +201270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.743946341,1 +201268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.135632232,1 +201269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.839608905,1 +201271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.748038011,1 +201272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.781166572,1 +201274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.070359675,1 +201273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.50517399,1 +201275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.282476119,1 +201276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.340484522,1 +201277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.426802862,1 +201278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.58224184,1 +201279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.753386782,1 +201280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.528767944,1 +201281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.653836735,1 +201284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.446603182,1 +201282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.74996523,1 +201283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.064801937,1 +201285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.787414792,1 +201287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.979393939,1 +201288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.253859834,1 +201286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.75673119,1 +201289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.359154715,1 +201290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.812845073,1 +201291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.054169544,1 +201294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.466008826,1 +201293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.922213032,1 +201295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.311788018,1 +201292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.203211307,1 +201296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.891977613,1 +201297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.370428658,1 +201299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.70314627,1 +201298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.003754635,1 +201300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.123978729,1 +201301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.998855635,1 +201302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,1.78562136,1 +201303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.611199163,1 +201305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.533905528,1 +201304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.896386866,1 +201306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.429354339,1 +201307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.378928295,1 +201310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.354449757,1 +201309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.736145992,1 +201311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.155619084,1 +201308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.860822384,1 +201312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,1.988569734,1 +201313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.100366141,1 +201315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.441506251,1 +201314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.800551633,1 +201316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.702134496,1 +201318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.812484251,1 +201319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.530847864,1 +201320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.657404646,1 +201321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.9638806,1 +201322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.146910315,1 +201317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.45867492,1 +201323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.035200683,1 +201325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.248938961,1 +201327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.283933647,1 +201326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.283749688,1 +201324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.455024356,1 +201330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.613582619,1 +201328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.419546085,1 +201329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.568092571,1 +201331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.598341414,1 +201332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.763000823,1 +201333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.485546193,1 +201335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.676143624,1 +201334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.502408515,1 +201337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.247108717,1 +201338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.156204934,1 +201339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.496962096,1 +201340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.02139013,1 +201341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.426192382,1 +201342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.939574924,1 +201336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.774261621,1 +201343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.119765004,1 +201346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,8.082449198,1 +201345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.300633786,1 +201344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.206537673,1 +201347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.687862292,1 +201348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.913120172,1 +201349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.348039505,1 +201350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.488858672,1 +201351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.088516695,1 +201352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.237393126,1 +201353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.500742132,1 +201354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.717063173,1 +201356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.923529249,1 +201357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,1.496318093,1 +201358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.583182571,1 +201359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.563514653,1 +201360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.60058957,1 +201361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.719481519,1 +201355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.179388456,1 +201363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.539506029,1 +201362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.325831386,1 +201364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.974221321,1 +201365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.131695367,1 +201366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.45398091,1 +201367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.173516254,1 +201368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.831262169,1 +201369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.887978113,1 +201371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.528226449,1 +201370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.104337029,1 +201372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.133705006,1 +201374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.844087288,1 +201373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.941312146,1 +201375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.229274257,1 +201376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.607942412,1 +201377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.600659027,1 +201378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.297174737,1 +201381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.05554105,1 +201379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.34300788,1 +201382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.135521364,1 +201380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.802743705,1 +201383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.850983905,1 +201385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.734664952,1 +201386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.511732744,1 +201384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.174009495,1 +201387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.034677992,1 +201388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.110049859,1 +201389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.269409516,1 +201393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.158179406,1 +201390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.699845187,1 +201391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.576856013,1 +201392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.71839678,1 +201396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.962408655,1 +201395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.58672877,1 +201397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.440663604,1 +201398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.036315006,1 +201394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.82035193,1 +201400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.738543957,1 +201401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.733229973,1 +201402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.766868526,1 +201399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.832031441,1 +201404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.58131556,1 +201405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.761852807,1 +201403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.542957579,1 +201406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.573873331,1 +201408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.843569533,1 +201409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.975166383,1 +201410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.173099662,1 +201407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.083445028,1 +201412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.636695618,1 +201413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,8.004147024,1 +201414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.670699455,1 +201411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.415217522,1 +201416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.518428836,1 +201417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.845994688,1 +201415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.528507189,1 +201418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.576253819,1 +201420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.490226365,1 +201421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.886577069,1 +201422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.109530088,1 +201419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.116454071,1 +201423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.13266587,1 +201425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.523798013,1 +201424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.554955288,1 +201426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.962896968,1 +201427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.248455062,1 +201428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.128854078,1 +201429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.87470219,1 +201430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.56807249,1 +201431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.174775623,1 +201434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.635500037,1 +201433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.56642677,1 +201435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.573099261,1 +201432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.614007788,1 +201437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.080421014,1 +201439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.443608508,1 +201438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.481658951,1 +201436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.119430296,1 +201441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.229986248,1 +201442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.734681485,1 +201443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.737122239,1 +201440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.758428459,1 +201444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.156093856,1 +201445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.588906079,1 +201446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.68067852,1 +201449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.10724535,1 +201450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.722226888,1 +201447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.875474848,1 +201448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.214578084,1 +201451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,1.892888314,1 +201453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.533161047,1 +201452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.222904493,1 +201454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.277710363,1 +201456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.965790053,1 +201455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.300007632,1 +201457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.642717044,1 +201458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.369821577,1 +201460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.968857033,1 +201461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,1.686339034,1 +201462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.883882033,1 +201459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.128574011,1 +201463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.153574631,1 +201464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.070740938,1 +201465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.108723075,1 +201467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,1.63540838,1 +201469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.447428581,1 +201466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.384693697,1 +201470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.99909269,1 +201468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.764973222,1 +201471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.098241297,1 +201472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.13193624,1 +201473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.889945325,1 +201474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.111646316,1 +201475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.527544749,1 +201476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.406576818,1 +201477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.256211989,1 +201479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,1.879889382,1 +201478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.845944522,1 +201481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.694760456,1 +201482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.09998595,1 +201483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.626664762,1 +201480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.749697241,1 +201484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.219785459,1 +201486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.048311839,1 +201485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.651309433,1 +201487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.921963576,1 +201488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.456140167,1 +201489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.042980921,1 +201490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.585231404,1 +201491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.494891583,1 +201492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.894060603,1 +201493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.389570452,1 +201494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.098523474,1 +201495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.654632362,1 +201496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.278745383,1 +201497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.933085277,1 +201498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,8.19645811,1 +201500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.080840878,1 +201501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.563083499,1 +201499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.338562547,1 +201503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.871661877,1 +201502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.977516293,1 +201505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.516370941,1 +201506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.289989497,1 +201504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.080796119,1 +201507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.103727132,1 +201508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.74000901,1 +201509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.433220782,1 +201511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.69991079,1 +201512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.342837649,1 +201513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.416592338,1 +201510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.491169251,1 +201514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.76088574,1 +201517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.353015618,1 +201515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.654516894,1 +201516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.606951959,1 +201519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.027249212,1 +201518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.840081425,1 +201520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.654933663,1 +201521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.189663196,1 +201523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.806883463,1 +201524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.384088514,1 +201525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.052767631,1 +201526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,8.323405919,1 +201522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.832881313,1 +201527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.973312105,1 +201528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.684074997,1 +201529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.995421631,1 +201530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.718118505,1 +201533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.426625266,1 +201532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.229657015,1 +201531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.83500509,1 +201534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.346043433,1 +201536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.976907169,1 +201537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.775231658,1 +201538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.01144687,1 +201539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.276930851,1 +201540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.346957362,1 +201535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.034419862,1 +201543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.315862605,1 +201542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.546857205,1 +201544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.437685061,1 +201541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.561744112,1 +201546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.448360095,1 +201547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.622903821,1 +201548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.744768143,1 +201545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.838803207,1 +201549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.443751696,1 +201551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.718753765,1 +201550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.913329576,1 +201552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,1.503609447,1 +201553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.455258138,1 +201555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.477970674,1 +201556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.704651902,1 +201557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.217664756,1 +201554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.448249019,1 +201559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.049488107,1 +201560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.914378088,1 +201558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.650707814,1 +201561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.195883036,1 +201563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.822602584,1 +201564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.746501647,1 +201562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.666091068,1 +201565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.707926524,1 +201566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.838596501,1 +201567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.601811132,1 +201568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.973838534,1 +201569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.453556908,1 +201570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.842916392,1 +201571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.399226102,1 +201572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.129860462,1 +201574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.372905627,1 +201575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.79288138,1 +201576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.556667722,1 +201573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.467343337,1 +201577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.841954088,1 +201578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.245938791,1 +201580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.055225449,1 +201581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.706565858,1 +201582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.583254948,1 +201579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.916551573,1 +201583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.127983699,1 +201584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.179617156,1 +201585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.634617257,1 +201587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,8.006199626,1 +201588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.194204044,1 +201589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.118830681,1 +201586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.917417727,1 +201591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.977042699,1 +201590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.772309464,1 +201593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.873397963,1 +201594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.000382242,1 +201592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.828962177,1 +201595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.89760973,1 +201597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.862589839,1 +201598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.078369746,1 +201599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.136501619,1 +201600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.213910257,1 +201602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.771277707,1 +201601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.251426487,1 +201596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.86774757,1 +201603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.427190566,1 +201604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.964376281,1 +201605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.5519041,1 +201606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.023109525,1 +201609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.191291703,1 +201607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.946682773,1 +201610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.130054441,1 +201608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.509752456,1 +201611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.064063883,1 +201612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.539150165,1 +201614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.663795779,1 +201613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.886910606,1 +201615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.997272224,1 +201616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.337754343,1 +201617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.28367071,1 +201619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.359489762,1 +201620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.32190539,1 +201621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.20451327,1 +201618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.306430259,1 +201622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.191642378,1 +201623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.53446582,1 +201624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.332346021,1 +201625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.204847793,1 +201626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.846337359,1 +201628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.682708943,1 +201627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.383845094,1 +201629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.034824343,1 +201630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.711332602,1 +201631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.288342312,1 +201632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.424818012,1 +201633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.905765838,1 +201635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.521071298,1 +201634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.041978977,1 +201636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.19423412,1 +201639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.895210603,1 +201638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.469191022,1 +201637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.111010628,1 +201640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.669126455,1 +201642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.855162449,1 +201643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.706643377,1 +201645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.395348812,1 +201641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.036873913,1 +201644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.431981782,1 +201646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.472423574,1 +201647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.446524348,1 +201648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.302274972,1 +201650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.5089839,1 +201652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.759953048,1 +201649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.782162461,1 +201654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.412367541,1 +201655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.19344637,1 +201651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.33015385,1 +201653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.022636845,1 +201657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.401400715,1 +201658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.018864899,1 +201659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.015123548,1 +201661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.926256635,1 +201656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.352103559,1 +201662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.107400483,1 +201664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.737169741,1 +201663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.442932392,1 +201660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.116851399,1 +201665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.208698043,1 +201666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.63546297,1 +201668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.437280077,1 +201667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.495317838,1 +201670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.804927655,1 +201671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.9548924,1 +201669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.380380676,1 +201672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.686150848,1 +201674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.107092979,1 +201675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.335617409,1 +201676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.503862533,1 +201673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.447408544,1 +201678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.329818615,1 +201679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.405903216,1 +201680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.668065925,1 +201677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.088459427,1 +201681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.967272078,1 +201683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.962542841,1 +201682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.635771764,1 +201684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.797847883,1 +201685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.285106403,1 +201686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.448106566,1 +201687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.728610192,1 +201688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,8.342156613,1 +201689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.9223947,1 +201691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.85783495,1 +201692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.928061122,1 +201693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.266437748,1 +201694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.822008391,1 +201690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.432195538,1 +201697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.029638699,1 +201698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.545164649,1 +201696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.038016067,1 +201695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.39312922,1 +201700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.568295056,1 +201702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.03296683,1 +201699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.319417726,1 +201701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.514078518,1 +201703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.573013801,1 +201704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.376982265,1 +201705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.568003419,1 +201707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.07667812,1 +201706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.619178085,1 +201708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.075006186,1 +201709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.414538288,1 +201713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.253141918,1 +201711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.480540414,1 +201712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.569738403,1 +201710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.305300774,1 +201715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.460447438,1 +201714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.184605984,1 +201716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.275288286,1 +201717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.544429028,1 +201718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.891133393,1 +201721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.727067494,1 +201719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.894015692,1 +201720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.226094332,1 +201722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.454419812,1 +201724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.181419151,1 +201723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.964350053,1 +201725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.988385404,1 +201726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.019197528,1 +201728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.725408783,1 +201729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.547431693,1 +201727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.524797419,1 +201731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.049326586,1 +201732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.976368251,1 +201733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.759945116,1 +201734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.159119241,1 +201735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.787066014,1 +201730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.376397502,1 +201736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.709961485,1 +201737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.796417149,1 +201738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.557672369,1 +201740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.831547769,1 +201741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,1.426636304,1 +201742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.191314706,1 +201739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,1.604324677,1 +201743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.25203007,1 +201746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.887853569,1 +201745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.88775746,1 +201744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.644385153,1 +201747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.228721605,1 +201748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.180314054,1 +201749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,1.593033882,1 +201750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.086391736,1 +201751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.062531569,1 +201753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.446041415,1 +201754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.049186288,1 +201755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.387706021,1 +201756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.30170276,1 +201752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.339395995,1 +201757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.720435274,1 +201758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.095999691,1 +201761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.624215438,1 +201759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.720205946,1 +201760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.715460181,1 +201762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.994353097,1 +201764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.970915195,1 +201765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.386557136,1 +201763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.644227313,1 +201766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.163315361,1 +201767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.73851395,1 +201769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.69724197,1 +201768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.467627773,1 +201770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.719314515,1 +201771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.381096257,1 +201772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.078721604,1 +201774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.811506883,1 +201775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.243921448,1 +201776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.991680408,1 +201773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.108255735,1 +201777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.216255659,1 +201778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.137518172,1 +201779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.181113208,1 +201780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.166331565,1 +201781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,1.978743287,1 +201782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.805863923,1 +201783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.900488778,1 +201784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.710535697,1 +201785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.668669887,1 +201786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.730441324,1 +201787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.236270652,1 +201790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.078480221,1 +201789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.416959603,1 +201788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.057075553,1 +201791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.847379434,1 +201795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.161076769,1 +201792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.186658454,1 +201793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.682003474,1 +201794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.019213414,1 +201797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.272190099,1 +201796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.102026015,1 +201798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.578139631,1 +201800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.410885745,1 +201801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.959700851,1 +201802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.628929588,1 +201799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.72832796,1 +201803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.186782395,1 +201804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.283948794,1 +201805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.65158779,1 +201806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.786049327,1 +201809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.778413234,1 +201807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.692161675,1 +201808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.035707715,1 +201811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.720577047,1 +201812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.482077949,1 +201810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.625111002,1 +201813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.075145927,1 +201814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.263031226,1 +201815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.144487082,1 +201817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.060200955,1 +201819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.502213722,1 +201818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.264358179,1 +201820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.918002164,1 +201816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.762128361,1 +201821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.10783952,1 +201822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.126347251,1 +201824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.310361997,1 +201823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.245733696,1 +201825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.421617928,1 +201826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.093516163,1 +201827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.933892631,1 +201828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.935457656,1 +201829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.730712786,1 +201830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.458760792,1 +201832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.767157201,1 +201831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.646297652,1 +201833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.330191629,1 +201835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.539683586,1 +201834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.123450257,1 +201837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.703527345,1 +201838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.475305866,1 +201839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.167218482,1 +201836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.915738751,1 +201840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.727489505,1 +201842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.450694494,1 +201841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.235505181,1 +201843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.775072098,1 +201844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.769151015,1 +201846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.305995147,1 +201845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.078809481,1 +201847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.686871945,1 +201848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.569714533,1 +201849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.491240513,1 +201850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.337531523,1 +201852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.840433959,1 +201853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.314913758,1 +201854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,8.565701656,1 +201851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.278582729,1 +201855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.279350442,1 +201856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.942833448,1 +201857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.085087002,1 +201858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.437039163,1 +201859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.61629794,1 +201861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.883556427,1 +201860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.155112989,1 +201862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.375237588,1 +201863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.696897769,1 +201864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,1.662666005,1 +201865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.679308729,1 +201867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.638432583,1 +201866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.08402095,1 +201868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.971056731,1 +201869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.394317524,1 +201870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.139100099,1 +201871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.295451465,1 +201873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.359577358,1 +201872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.540491694,1 +201874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.826055825,1 +201876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.590696298,1 +201875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.104961747,1 +201877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.554067294,1 +201878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.985305456,1 +201879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.369592629,1 +201880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.092957617,1 +201881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.141673797,1 +201882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.642442267,1 +201883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.496158966,1 +201885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.655728073,1 +201884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.346671372,1 +201887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.653541613,1 +201886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.347776552,1 +201888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.359244534,1 +201890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.125094729,1 +201891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.573582521,1 +201892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.651711804,1 +201889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.790969727,1 +201893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.009953263,1 +201894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.793403721,1 +201895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.159499894,1 +201897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.621453765,1 +201898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.539535382,1 +201899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.081009439,1 +201896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.672504489,1 +201901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.534639178,1 +201900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.254086376,1 +201903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.242059894,1 +201905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.883037915,1 +201902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.256225704,1 +201904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.022113843,1 +201906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.512179212,1 +201907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.799957671,1 +201908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.626094221,1 +201909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.035378359,1 +201911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.404456009,1 +201912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.206519868,1 +201913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.512095391,1 +201915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.064157724,1 +201910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.432707524,1 +201916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.405786158,1 +201914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.215557866,1 +201917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.231182109,1 +201918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.697044695,1 +201920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.851045408,1 +201922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.756742765,1 +201921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.1019332,1 +201923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.786558591,1 +201924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.204848327,1 +201919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.109478357,1 +201925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.445677767,1 +201926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.70675709,1 +201928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.957377531,1 +201929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.802670161,1 +201927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.698510564,1 +201931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.858960668,1 +201930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.58463243,1 +201932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.514774971,1 +201933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.107504388,1 +201934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.556895093,1 +201935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.790592145,1 +201937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.816127823,1 +201939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.060249217,1 +201936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.982123161,1 +201938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.837122842,1 +201940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.422739441,1 +201941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.640039696,1 +201942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.933057642,1 +201945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.82362033,1 +201946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.125539024,1 +201943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.570972005,1 +201944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.967689873,1 +201948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.863937,1 +201949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.615888188,1 +201947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.876447654,1 +201950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.858585805,1 +201952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.002710602,1 +201953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,8.582495818,1 +201951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.853245981,1 +201956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.786411927,1 +201954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.205121049,1 +201958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.291650651,1 +201957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.530536064,1 +201959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.556722888,1 +201955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.052667127,1 +201961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.825548431,1 +201963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.383669268,1 +201960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.430084452,1 +201962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.540156086,1 +201964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.07188972,1 +201965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.858337176,1 +201966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.924258076,1 +201967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.034168399,1 +201968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.612732004,1 +201969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.406816522,1 +201970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,2.734185641,1 +201971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.690961532,1 +201973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.664990372,1 +201974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.580936264,1 +201972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.505096684,1 +201975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.066571658,1 +201977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.143978465,1 +201978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.747989611,1 +201976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.853444006,1 +201979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.786552345,1 +201980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.035798002,1 +201981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.184415914,1 +201984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.204480801,1 +201982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.730472532,1 +201983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.506658749,1 +201985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.798768733,1 +201987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,4.712359565,1 +201986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.755575313,1 +201988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.11373383,1 +201990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.088203409,1 +201991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.96329857,1 +201992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.899053858,1 +201989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.129867686,1 +201993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,7.436472246,1 +201994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.419056346,1 +201996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,5.821061155,1 +201995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,8.033949852,1 +201998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.773197633,1 +201997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.572862418,1 +201999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,6.932208878,1 +202000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,2,1,3.908026992,1 +2001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.045318121,1 +2003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.895691294,1 +2002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.46107524,1 +2004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.663177631,1 +2005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.920217834,1 +2008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.58492391,1 +2007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.86734744,1 +2009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.572091685,1 +2010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.206901663,1 +2011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.65007428,1 +2012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.459518521,1 +2006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.538395159,1 +2013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.447670812,1 +2014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.258792689,1 +2015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.259663692,1 +2018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.696314326,1 +2017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.105268247,1 +2019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.477381581,1 +2016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.194861221,1 +2020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.768654809,1 +2021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.488644328,1 +2022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.730471999,1 +2024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.636030592,1 +2025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.062821558,1 +2023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.106206512,1 +2026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.456488482,1 +2027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.900569064,1 +2028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.77320762,1 +2030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.308041363,1 +2032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.846088476,1 +2029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.121408975,1 +2031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.516902603,1 +2033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.477534643,1 +2035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.38435645,1 +2036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.006452718,1 +2034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.544762523,1 +2037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.007052677,1 +2039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.249192629,1 +2040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.87273483,1 +2038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.142963404,1 +2041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.740991316,1 +2043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.583003029,1 +2042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.161361312,1 +2044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.868288875,1 +2045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.582117858,1 +2046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.854465556,1 +2047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.364094978,1 +2048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.055164535,1 +2049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.885837085,1 +2050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.565244702,1 +2051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.859032556,1 +2053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.779193484,1 +2054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.11902583,1 +2052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.678574548,1 +2055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,8.243519723,1 +2057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.249897088,1 +2056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.451511729,1 +2059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.565697977,1 +2058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.263376866,1 +2060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.500113772,1 +2061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.59900098,1 +2062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.526184228,1 +2063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.332646486,1 +2064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.152369327,1 +2065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.143329202,1 +2066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.47055804,1 +2067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.362578051,1 +2068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.59320652,1 +2069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.097115818,1 +2070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.651803379,1 +2073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.334513829,1 +2072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.05306124,1 +2071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.390302386,1 +2074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.799468301,1 +2075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.924219667,1 +2076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.447376416,1 +2078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.06680139,1 +2077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.935520726,1 +2080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.588766307,1 +2079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.774521965,1 +2081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.610783997,1 +2083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.592327724,1 +2084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.644283073,1 +2085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.108237378,1 +2082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.600755902,1 +2086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.779769731,1 +2087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.388645491,1 +2088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.541892733,1 +2089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.62297186,1 +2091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.909318626,1 +2090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.256127301,1 +2092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.659008137,1 +2093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.571503566,1 +2095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.745606516,1 +2094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.136438445,1 +2096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.491672024,1 +2098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.316018732,1 +2100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.741750145,1 +2099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.87843071,1 +2097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.559156438,1 +2101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.322788484,1 +2102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.064142908,1 +2103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.580076771,1 +2105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.476656857,1 +2106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.141887918,1 +2107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.256772478,1 +2104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.753018807,1 +2109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.68379783,1 +2110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,8.723374428,1 +2108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.453663094,1 +2111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.976907688,1 +2113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.362232566,1 +2114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.941419246,1 +2112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.84167164,1 +2115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.354816875,1 +2116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.080522376,1 +2117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.458336612,1 +2118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.450074127,1 +2120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.196548096,1 +2121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.157840419,1 +2122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.626543941,1 +2119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.191508413,1 +2124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.66374927,1 +2123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.572296289,1 +2125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.589449117,1 +2127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.292318332,1 +2126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.523271071,1 +2129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.031050312,1 +2128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.925802083,1 +2130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.982282857,1 +2131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.117762055,1 +2133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.891844383,1 +2132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.48388668,1 +2134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.387281716,1 +2137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.396834923,1 +2136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,9.081169633,1 +2135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.13808234,1 +2139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.225906045,1 +2140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.189560113,1 +2138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.235302538,1 +2142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.230763021,1 +2141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.384964066,1 +2143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.081095683,1 +2144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.146894782,1 +2145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.583466303,1 +2146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.661619356,1 +2147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.74479489,1 +2148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.22079188,1 +2149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.292214591,1 +2150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.74067876,1 +2151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.466282189,1 +2152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.842337184,1 +2156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.74339016,1 +2153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.013845837,1 +2154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.857574906,1 +2155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.383597206,1 +2158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.087923283,1 +2160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.365911659,1 +2159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.337057445,1 +2157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.587769278,1 +2161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.882368465,1 +2162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.843921141,1 +2163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.788796117,1 +2164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.387577583,1 +2165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.377301193,1 +2166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.114166265,1 +2168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.320048126,1 +2169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.589925058,1 +2171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.270571759,1 +2167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.956594022,1 +2170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.481094563,1 +2172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.806176404,1 +2175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,1.824809625,1 +2173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.482878291,1 +2174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.800062646,1 +2176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.342043414,1 +2178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.797574672,1 +2177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.838094184,1 +2179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.208156796,1 +2180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,8.214176484,1 +2181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.987045497,1 +2182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.19238483,1 +2183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.57353096,1 +2185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.610788399,1 +2184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.827421145,1 +2186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.985819802,1 +2188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.148877267,1 +2189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.400515543,1 +2187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.918984396,1 +2190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.915607801,1 +2192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.28608532,1 +2193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.487665435,1 +2191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.57292736,1 +2194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.189617012,1 +2195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.469557954,1 +2197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.107652585,1 +2198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.472038791,1 +2196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,1.614346349,1 +2200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.919990366,1 +2199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.623301066,1 +2202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,1.404473046,1 +2201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.527684208,1 +2203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.29841338,1 +2204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.789595408,1 +2205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.011006716,1 +2206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.656926112,1 +2207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.082509743,1 +2208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.37977957,1 +2210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,1.19959524,1 +2209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.487630717,1 +2211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.808871469,1 +2212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.996808059,1 +2214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.672624806,1 +2213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,1.711835879,1 +2215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.331170058,1 +2216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.828393337,1 +2219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.716980752,1 +2217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.728741578,1 +2218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.072811113,1 +2220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.533699477,1 +2221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.6220188,1 +2223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.478952219,1 +2222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.713435831,1 +2224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.649553164,1 +2226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.335895411,1 +2225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.861245579,1 +2227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.113139122,1 +2228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.611612915,1 +2229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,8.001728263,1 +2230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.142335183,1 +2231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.545867217,1 +2232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.977282363,1 +2233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.007240725,1 +2236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.763597551,1 +2234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.878938416,1 +2235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.844931494,1 +2237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,8.174919679,1 +2238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.18849001,1 +2241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.052313544,1 +2240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.164076501,1 +2239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.184012021,1 +2242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.797274732,1 +2243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.206170621,1 +2244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.772140281,1 +2245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.521398035,1 +2246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.427864127,1 +2247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,8.130974397,1 +2249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.562171916,1 +2250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.999409527,1 +2248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.735554736,1 +2251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.989300379,1 +2252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.209896923,1 +2253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.231457816,1 +2254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.470392739,1 +2255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.820869994,1 +2257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.05474925,1 +2258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.676966992,1 +2259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.731571519,1 +2261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.38831089,1 +2256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.198046839,1 +2262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.490727455,1 +2260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.501907626,1 +2264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.181069233,1 +2263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.827341294,1 +2266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.546604771,1 +2265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.219486059,1 +2267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.495114556,1 +2268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.120614957,1 +2271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.106578564,1 +2269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.569670963,1 +2270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,8.933351249,1 +2272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,1.553059431,1 +2274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.706148938,1 +2275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.404156865,1 +2277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.671421503,1 +2273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.129223478,1 +2280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.251183363,1 +2278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.927584211,1 +2276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.727804592,1 +2281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.636673003,1 +2282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.52620646,1 +2279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.750994085,1 +2283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.957869216,1 +2284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.622513936,1 +2285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.312296767,1 +2286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.408233561,1 +2287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.581189843,1 +2289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.213986884,1 +2290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.625782524,1 +2288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.256779375,1 +2291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.560456425,1 +2293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.146601719,1 +2294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.880215338,1 +2292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.920708646,1 +2295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.955054318,1 +2296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.184696867,1 +2297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.260370459,1 +2298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.193418719,1 +2299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.296904695,1 +2301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.230701743,1 +2300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.024456394,1 +2302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.346902729,1 +2303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.607039525,1 +2305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.862564413,1 +2306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.691837812,1 +2308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.542637471,1 +2304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.613914019,1 +2307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.882044615,1 +2311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.938640536,1 +2309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.091433263,1 +2310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.534889494,1 +2314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.142332612,1 +2313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.75827349,1 +2315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.894058439,1 +2316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.347287077,1 +2317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,8.002723927,1 +2318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.536746195,1 +2319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.665888869,1 +2320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.475714253,1 +2312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.495645022,1 +2321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.045719374,1 +2323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.203742956,1 +2324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.885078977,1 +2322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.760693886,1 +2325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.997014142,1 +2326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.129720605,1 +2327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.710959458,1 +2328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.574460284,1 +2329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.338317203,1 +2333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.58298269,1 +2331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.725316087,1 +2332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.61135807,1 +2335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.952126478,1 +2334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.703185957,1 +2336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.737136191,1 +2330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.948048476,1 +2337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.645752929,1 +2338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.731218747,1 +2339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.61667568,1 +2340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,8.917152591,1 +2342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.239250747,1 +2341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.964590958,1 +2344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.522595768,1 +2345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.608578381,1 +2343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.53047657,1 +2346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.089415954,1 +2347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.568449786,1 +2348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.760354231,1 +2349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.505775965,1 +2350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,8.490075715,1 +2352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.533492895,1 +2353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.50557432,1 +2354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.425106403,1 +2351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.09477581,1 +2356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.906134422,1 +2355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.654749713,1 +2357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.882838927,1 +2358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.060306317,1 +2359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.248693617,1 +2360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.403555141,1 +2361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.654353118,1 +2362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.440856392,1 +2363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.62571589,1 +2364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.148327161,1 +2365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,8.828016426,1 +2367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.877268906,1 +2368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.974612381,1 +2369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.778755251,1 +2366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.798622057,1 +2371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.449144667,1 +2370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.307913196,1 +2372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.252608375,1 +2373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.441576069,1 +2375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.730577636,1 +2374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.616714485,1 +2376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.780045057,1 +2377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.355122948,1 +2378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.87226538,1 +2379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.32365792,1 +2380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.930554049,1 +2383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.706011566,1 +2382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.361189698,1 +2381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.14077677,1 +2384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.424463218,1 +2385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.815159514,1 +2388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.011976668,1 +2386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.323326924,1 +2387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.064274438,1 +2391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.125256314,1 +2389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.348065691,1 +2390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.601695025,1 +2392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.361307471,1 +2393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.024856409,1 +2395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.766942244,1 +2394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.397209348,1 +2396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.773027995,1 +2398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.241196775,1 +2397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.712154089,1 +2399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.506111442,1 +2400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.113894013,1 +2402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,1.887034262,1 +2401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.519573891,1 +2403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.590043156,1 +2404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.783755748,1 +2405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.678268066,1 +2407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.401780627,1 +2406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.871784674,1 +2408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.872544012,1 +2409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.022118881,1 +2410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.103339995,1 +2411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.705944323,1 +2413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.298882437,1 +2412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.773162103,1 +2414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,8.41667225,1 +2415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.1585455,1 +2416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.279869791,1 +2418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.206717954,1 +2419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.289670791,1 +2417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.345703807,1 +2420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.488712981,1 +2421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.706952708,1 +2422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.011920942,1 +2424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.996313114,1 +2425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.293410091,1 +2426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.390706219,1 +2423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.664150325,1 +2427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,1.884815389,1 +2428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.956665334,1 +2429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.1038141,1 +2431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.74088268,1 +2432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.72114486,1 +2430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.115231526,1 +2433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.88003241,1 +2435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.44554434,1 +2436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.793011522,1 +2434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.5205744,1 +2437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.702207651,1 +2438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.572347505,1 +2440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.483291589,1 +2441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.725508016,1 +2442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.863140892,1 +2443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.324271222,1 +2439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.524922343,1 +2444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.312360447,1 +2446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.527721927,1 +2445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.785314504,1 +2447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.718036308,1 +2448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.868587885,1 +2449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.984335725,1 +2450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.60849316,1 +2451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.075299468,1 +2452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.475180471,1 +2453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,9.327240038,1 +2454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.936286715,1 +2455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.274982455,1 +2456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.272139437,1 +2457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.249809379,1 +2458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.995024987,1 +2460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.30448073,1 +2461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.295221284,1 +2462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.129869247,1 +2459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.840220185,1 +2463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.52207898,1 +2464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.832059392,1 +2466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.201564112,1 +2465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.490019823,1 +2467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.389724512,1 +2468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.159117905,1 +2470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.21977493,1 +2469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.386306706,1 +2471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.990726621,1 +2472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.796207493,1 +2473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.065773234,1 +2474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.914558246,1 +2475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.331612666,1 +2476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.518593964,1 +2477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.435315401,1 +2480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.644786667,1 +2479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.719524181,1 +2478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.819837072,1 +2481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.290040234,1 +2483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.21675306,1 +2482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,0.522204059,1 +2484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.248160777,1 +2485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.089755653,1 +2486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.890939453,1 +2488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.542148101,1 +2489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.8603205,1 +2487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.482487911,1 +2490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.447442794,1 +2491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.396062517,1 +2492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.969019669,1 +2493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.251631045,1 +2495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.039871327,1 +2494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.757127432,1 +2496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.505593301,1 +2497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.949558214,1 +2499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,10.80653857,1 +2498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.157398231,1 +2500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.925168525,1 +2501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,0.452899669,1 +2503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.579769976,1 +2502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.392768433,1 +2504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.649825102,1 +2506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.601673831,1 +2505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.793887234,1 +2507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.189487956,1 +2508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.948723892,1 +2509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,1.679599911,1 +2511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.692929284,1 +2510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.198878582,1 +2512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.915433318,1 +2513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.600879974,1 +2514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.03269805,1 +2515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.49370836,1 +2516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.890954498,1 +2517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.771153138,1 +2518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.494570234,1 +2519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.645110046,1 +2521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.598226673,1 +2520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.578691954,1 +2522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.24991577,1 +2523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.962220556,1 +2525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.67629691,1 +2524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.566204601,1 +2526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.752575998,1 +2528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.768217016,1 +2527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.778363425,1 +2530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.173927856,1 +2529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.484819882,1 +2532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,1.567321527,1 +2531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.39128502,1 +2533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,8.259748019,1 +2534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,10.70585171,1 +2535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,8.624864833,1 +2536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.675236867,1 +2537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.654163237,1 +2538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,8.770352141,1 +2539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.02387218,1 +2540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.001378046,1 +2541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,1.412027001,1 +2542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.11971676,1 +2543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.843127386,1 +2545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.131108748,1 +2546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.181970107,1 +2547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.007280315,1 +2544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.445578917,1 +2549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.48476926,1 +2548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.718616982,1 +2550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,1.764958329,1 +2552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.946793769,1 +2551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.803024142,1 +2554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.406217956,1 +2553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.307245675,1 +2556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.496572732,1 +2555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,8.325283659,1 +2557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.274117452,1 +2558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.333370932,1 +2559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.821472164,1 +2560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.418801716,1 +2561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.594375253,1 +2562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.524300827,1 +2564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.7110451,1 +2565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.902318597,1 +2567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.995531417,1 +2568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.594519895,1 +2566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.181202942,1 +2563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.192978128,1 +2569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,1.936961288,1 +2570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.456932777,1 +2571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.166495937,1 +2572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.958338936,1 +2574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.2541509,1 +2573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.35101964,1 +2575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,1.457251712,1 +2576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,10.58380063,1 +2577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.013070486,1 +2580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,1.660359929,1 +2578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.221044566,1 +2579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.517949707,1 +2581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.773998688,1 +2583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.359527227,1 +2584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.139585992,1 +2586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.757715242,1 +2582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.52547123,1 +2585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.138874278,1 +2587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.664002955,1 +2589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.579839748,1 +2588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.416729762,1 +2590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.115010594,1 +2592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.223881299,1 +2591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.993004207,1 +2593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.410209398,1 +2594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.530775077,1 +2595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.685644288,1 +2597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.59734016,1 +2596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.004363548,1 +2598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.353820779,1 +2600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.217256273,1 +2601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.446599226,1 +2602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.015193694,1 +2599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.602459882,1 +2603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.110951779,1 +2604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.375387181,1 +2606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.766000093,1 +2605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.42127624,1 +2607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.812704206,1 +2608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.250911224,1 +2609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.494575906,1 +2610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.796014987,1 +2611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.153749859,1 +2612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.819401165,1 +2613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,8.820040784,1 +2614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.735058738,1 +2615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.93437789,1 +2619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.13056445,1 +2618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.594170987,1 +2617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.772879411,1 +2616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.688113464,1 +2622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.472121481,1 +2621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.70823261,1 +2620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.927905588,1 +2623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.25355251,1 +2625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.673446103,1 +2626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.355568104,1 +2627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.710816217,1 +2624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.727457305,1 +2628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.901657598,1 +2629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.753547945,1 +2630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.02654858,1 +2631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.297070765,1 +2633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.335554913,1 +2632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.852741426,1 +2636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,8.442336485,1 +2634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.984421819,1 +2637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.076762034,1 +2635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.112894904,1 +2638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.862318607,1 +2640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.27363936,1 +2639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.84072066,1 +2642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.940515867,1 +2641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.36805008,1 +2643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.855274012,1 +2646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.020301937,1 +2645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.030623398,1 +2644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.870805537,1 +2648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.876187353,1 +2647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.612865461,1 +2650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.951327948,1 +2649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.072751975,1 +2652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.800104824,1 +2651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.044154768,1 +2654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.358916411,1 +2655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.250984683,1 +2653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.687853253,1 +2656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.426397636,1 +2657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,9.19292635,1 +2658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.037257674,1 +2659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.736405503,1 +2661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.242965563,1 +2660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.920253751,1 +2662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.632598916,1 +2663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.036620139,1 +2665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.57869292,1 +2664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.811719186,1 +2667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.912723951,1 +2666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.915762867,1 +2668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.734510915,1 +2669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,1.955849332,1 +2671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.767817859,1 +2670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.261277337,1 +2673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.524858227,1 +2674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.445582606,1 +2675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,8.476212414,1 +2676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.48529015,1 +2672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.459439085,1 +2677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.927194161,1 +2678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.958834296,1 +2679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.024712611,1 +2680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.478335532,1 +2682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.840857137,1 +2681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.50758871,1 +2683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.723606709,1 +2686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.123021591,1 +2684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.062113151,1 +2687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.561547859,1 +2688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.061156297,1 +2689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.011205889,1 +2690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.851152463,1 +2691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.802265316,1 +2693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.055648202,1 +2685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.946569627,1 +2692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.077311991,1 +2696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.812860246,1 +2694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.718719645,1 +2698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.638668287,1 +2697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.127679907,1 +2695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.360895995,1 +2699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.273989286,1 +2700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.889754811,1 +2701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.507667557,1 +2702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.746783937,1 +2703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.713546649,1 +2706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.5135307,1 +2704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.162985513,1 +2707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.061045568,1 +2705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.925111148,1 +2708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.079759241,1 +2710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.480546322,1 +2709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.101820486,1 +2711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.21149748,1 +2712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.510123294,1 +2714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.344884111,1 +2715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.144846479,1 +2713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,9.693951249,1 +2716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.002482365,1 +2718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.106974804,1 +2719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.338209204,1 +2720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.366584183,1 +2721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.701538785,1 +2722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.086351817,1 +2717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.904967393,1 +2723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.470106683,1 +2726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.74114916,1 +2725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.922941142,1 +2724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.826395169,1 +2727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.344659908,1 +2728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.030243182,1 +2729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.443190599,1 +2731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,9.049908897,1 +2730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.209416696,1 +2732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.239850497,1 +2733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.65199498,1 +2734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.384732915,1 +2735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.89103383,1 +2736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.856616179,1 +2738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.417881322,1 +2737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.17567528,1 +2739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.057015842,1 +2740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.917285083,1 +2742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.801643655,1 +2743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.094037951,1 +2741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.196044129,1 +2744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.174302605,1 +2747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.528756104,1 +2748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.581326693,1 +2745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.68231543,1 +2749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.366779595,1 +2746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.545795945,1 +2750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.561244039,1 +2752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.008698493,1 +2753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.859490347,1 +2751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,8.438716462,1 +2754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.304178941,1 +2756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.787557437,1 +2757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.918862198,1 +2755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.881936363,1 +2760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.58801227,1 +2759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.00121149,1 +2758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.470336011,1 +2761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.97453495,1 +2764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.797118349,1 +2765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.106414068,1 +2762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.662670087,1 +2766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.668322937,1 +2767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.400584132,1 +2763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.221423259,1 +2768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.523807635,1 +2769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.038571352,1 +2771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.510051307,1 +2772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.770269834,1 +2770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.203204024,1 +2774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,8.623049816,1 +2775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.891082024,1 +2773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.259630366,1 +2776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.480522655,1 +2777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.422116411,1 +2780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.552207804,1 +2778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.582037053,1 +2779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.093482597,1 +2782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.630952581,1 +2781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,8.985460882,1 +2783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.106554281,1 +2784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.094079057,1 +2787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.151886335,1 +2788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.752862118,1 +2786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.784283228,1 +2785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,8.565767667,1 +2789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,1.123380901,1 +2791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.741478645,1 +2792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.34946808,1 +2793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.801558968,1 +2794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.783130375,1 +2795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.936206552,1 +2790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,8.296602501,1 +2797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.682353913,1 +2798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.76294455,1 +2796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.729629702,1 +2799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.72961878,1 +2801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.145425611,1 +2802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.772930973,1 +2803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,10.67360472,1 +2800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.180425541,1 +2805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.598311432,1 +2806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.282261951,1 +2804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.938625889,1 +2807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.672109674,1 +2808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.053417939,1 +2810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.583752402,1 +2811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.451311246,1 +2813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,8.290007169,1 +2814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.260936087,1 +2812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.805769618,1 +2809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.118367288,1 +2815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.726112985,1 +2818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.921880606,1 +2817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.161956395,1 +2816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.022973053,1 +2819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.057643247,1 +2821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.442555481,1 +2820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.948740245,1 +2822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.843421928,1 +2823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.923795465,1 +2824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.032394959,1 +2825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.690532227,1 +2826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.023302101,1 +2830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.141165856,1 +2827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.281044027,1 +2831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.413906432,1 +2832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.41506043,1 +2828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.690023789,1 +2829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.70521461,1 +2834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.888091229,1 +2835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,1.564079769,1 +2836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.630271329,1 +2833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.985173664,1 +2837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.850369355,1 +2838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.021958145,1 +2840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.178546247,1 +2839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.128230457,1 +2841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.475292161,1 +2842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.524336047,1 +2843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.967695149,1 +2844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.641171466,1 +2846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.037694954,1 +2847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.825267019,1 +2845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.896411381,1 +2849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.746125088,1 +2848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.570114496,1 +2851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.868389633,1 +2850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.006715719,1 +2854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.94269373,1 +2853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.046440734,1 +2852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.162034721,1 +2855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.263763077,1 +2857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.935231856,1 +2859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.241649523,1 +2856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.518016225,1 +2858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.618748668,1 +2861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.974025554,1 +2860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.297788803,1 +2863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.456762547,1 +2865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.254637699,1 +2862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.658905111,1 +2864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.945816655,1 +2869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.486011978,1 +2866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.521563764,1 +2867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,9.316283531,1 +2868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.88731287,1 +2870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.877874747,1 +2871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.305020501,1 +2872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.096857352,1 +2873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.297549345,1 +2874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.239836658,1 +2876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.14482728,1 +2875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.750523335,1 +2877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.571512834,1 +2879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,8.021945155,1 +2878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.953543801,1 +2880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.960830746,1 +2881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.021573532,1 +2882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.815047168,1 +2884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.415016706,1 +2883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.803466289,1 +2885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.565798498,1 +2886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.357733636,1 +2887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,1.932355152,1 +2888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.526435989,1 +2889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.739333973,1 +2890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.394056699,1 +2891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,8.845082559,1 +2892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.500206787,1 +2894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.660887467,1 +2895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.25798812,1 +2893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.710205264,1 +2896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.413135494,1 +2897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.260089458,1 +2898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.174689649,1 +2899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.262467862,1 +2901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.035439113,1 +2902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.317383697,1 +2900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.46633053,1 +2904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.291902693,1 +2905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.889606525,1 +2906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.067800557,1 +2907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.565366088,1 +2903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.721565295,1 +2908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.34483219,1 +2909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.539278947,1 +2910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.82702927,1 +2913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.881431613,1 +2911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.110177203,1 +2912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.892649606,1 +2914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.369020065,1 +2916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.902864007,1 +2917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.485901565,1 +2918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.846162035,1 +2915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.671690405,1 +2919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.835095888,1 +2921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.249474286,1 +2922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.922026512,1 +2923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.739393781,1 +2924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.621392222,1 +2925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.309811652,1 +2920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.086599921,1 +2926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.710158341,1 +2928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.050160807,1 +2929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,1.824101422,1 +2927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.770895736,1 +2930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.636890095,1 +2933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.949572455,1 +2932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,1.603912731,1 +2934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.410594306,1 +2931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.325006494,1 +2935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.132226856,1 +2937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,8.846769257,1 +2938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.76510757,1 +2939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.222570927,1 +2941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.267834464,1 +2936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.864335216,1 +2940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.575007579,1 +2943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.2599242,1 +2942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.351093775,1 +2944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.781543238,1 +2945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.547979598,1 +2946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.770778872,1 +2947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.638512794,1 +2948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.781789679,1 +2949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.075784897,1 +2951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.075810827,1 +2952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.132913237,1 +2953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.605802419,1 +2954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.902434391,1 +2950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.701978083,1 +2956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.560408631,1 +2958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.872927094,1 +2955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.218600107,1 +2960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.14502318,1 +2957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.269117437,1 +2959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.021280713,1 +2961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.317478126,1 +2962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.772672639,1 +2963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,0.437149011,1 +2964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,1.596473642,1 +2965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.745740815,1 +2967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.653716897,1 +2968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.852931783,1 +2969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.52341084,1 +2966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.317248792,1 +2970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,8.275264796,1 +2971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.884062952,1 +2973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.208178949,1 +2974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.672644783,1 +2972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.413359467,1 +2975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.872526293,1 +2976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.850582112,1 +2977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.252189571,1 +2979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.590700213,1 +2980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.088062306,1 +2978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.054652425,1 +2982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.865401989,1 +2981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.538409946,1 +2983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.617114499,1 +2984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.521079452,1 +2985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.451695755,1 +2986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,7.647650644,1 +2990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.629409085,1 +2988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,1.608739838,1 +2987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.766023562,1 +2989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.65581861,1 +2991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.022387665,1 +2992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.781646908,1 +2994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.224292143,1 +2993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,2.249301247,1 +2995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.794175264,1 +2996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,6.649580031,1 +2998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,3.175519386,1 +2997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,5.23411514,1 +2999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,1.782997828,1 +3000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,3,1,4.047578217,1 +12001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.228216124,1 +12003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.849994396,1 +12004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.385704363,1 +12005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.655800559,1 +12002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.273409452,1 +12006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.060748057,1 +12008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.581989659,1 +12007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.58113653,1 +12010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.549394644,1 +12011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.868142793,1 +12009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.936764831,1 +12012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.239212595,1 +12013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.222784923,1 +12014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.670343242,1 +12016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.025046534,1 +12015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.612893819,1 +12017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.814218838,1 +12020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.04681201,1 +12019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.831397806,1 +12021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.430327808,1 +12018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.332579286,1 +12023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.125914979,1 +12022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.885635018,1 +12024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.392346455,1 +12025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,1.54516426,1 +12027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.244710848,1 +12028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.20078285,1 +12026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.759955941,1 +12029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.363826904,1 +12030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.507776308,1 +12031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,9.622373229,1 +12033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.226888024,1 +12032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.162971035,1 +12034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.573272165,1 +12036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.565661272,1 +12035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.855357281,1 +12038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.207437559,1 +12039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.330166596,1 +12040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.724893808,1 +12041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.385601513,1 +12042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.011556873,1 +12043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.52547178,1 +12037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.223592344,1 +12044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.575932461,1 +12045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.656460362,1 +12046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.353771016,1 +12047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.031101997,1 +12048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.377991358,1 +12049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.190360382,1 +12050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.525922133,1 +12051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.196594824,1 +12052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.758770477,1 +12053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.800474951,1 +12054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.166759102,1 +12055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.511271497,1 +12056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.183435698,1 +12057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.333758926,1 +12058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.140310506,1 +12060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.15738908,1 +12062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.615293829,1 +12061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.990229111,1 +12063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.510430383,1 +12059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.049862473,1 +12064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.579568732,1 +12065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.11938798,1 +12067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.242436411,1 +12066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.865213936,1 +12068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.17415288,1 +12069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.465490423,1 +12071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.339916877,1 +12072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.063126265,1 +12070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.292917787,1 +12073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.411107935,1 +12076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.170856047,1 +12074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.812984866,1 +12075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.673283828,1 +12077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.907332819,1 +12078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.509616418,1 +12079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,8.756776532,1 +12081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,1.773033477,1 +12082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.115726462,1 +12083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.241936745,1 +12080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.834642528,1 +12084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.519947072,1 +12085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.575142649,1 +12086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.850695492,1 +12087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.411913072,1 +12088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.973673164,1 +12090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.086866735,1 +12089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.851025727,1 +12091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.273041697,1 +12092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.164894632,1 +12093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.559151683,1 +12094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.101189394,1 +12095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.481337598,1 +12097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.702005327,1 +12096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.567810687,1 +12098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.759248995,1 +12099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.67833082,1 +12100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.154703861,1 +12101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.074839801,1 +12102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.394793365,1 +12104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.478584258,1 +12103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.139885493,1 +12105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.679528941,1 +12106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.687148043,1 +12107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.116954587,1 +12109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.257541402,1 +12108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.279146996,1 +12110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.872895734,1 +12112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.761157332,1 +12111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.401079921,1 +12114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.259540607,1 +12115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.823570155,1 +12116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.064084231,1 +12117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.751993512,1 +12113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.84346958,1 +12118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.436422392,1 +12119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.50433731,1 +12120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.494808676,1 +12121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.644801953,1 +12122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.342669962,1 +12123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.628828462,1 +12124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.768758909,1 +12125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.280117441,1 +12126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.835599364,1 +12127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.102083978,1 +12128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.099334215,1 +12129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.249170857,1 +12130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.588580479,1 +12131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.699092471,1 +12132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.447056829,1 +12134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.915026921,1 +12135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.87390488,1 +12136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.211238138,1 +12137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.111368984,1 +12138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.294925488,1 +12139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.077025694,1 +12140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.350202077,1 +12133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,8.902088793,1 +12141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.54937971,1 +12142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.922782761,1 +12143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.004278326,1 +12144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.931279813,1 +12146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.41503698,1 +12145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.14785411,1 +12147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.035861593,1 +12148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.118033254,1 +12149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.20970998,1 +12151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.904460986,1 +12150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.019589696,1 +12152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.391265052,1 +12153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.680167162,1 +12154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.851434513,1 +12155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.432373338,1 +12158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.279782088,1 +12157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.550584891,1 +12159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.716361491,1 +12156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.067054783,1 +12161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.882483328,1 +12160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,8.536386801,1 +12162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.433960193,1 +12163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.408481595,1 +12165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.574648664,1 +12164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.167706295,1 +12166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.089154142,1 +12168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.798142112,1 +12169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.770340764,1 +12167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.612172957,1 +12170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.946063233,1 +12171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.865968977,1 +12172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.195893698,1 +12174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.738462048,1 +12173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.529061349,1 +12175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.551943822,1 +12176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.48422798,1 +12177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.811708797,1 +12178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.020909574,1 +12179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.264467305,1 +12180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.621168661,1 +12181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.374158952,1 +12183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.915730241,1 +12182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.829524674,1 +12184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.271756289,1 +12185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.509381556,1 +12186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.916387592,1 +12188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.353153,1 +12187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.226426982,1 +12189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.473285477,1 +12190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.490293579,1 +12192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.017802181,1 +12193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.307528113,1 +12194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.243111664,1 +12191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.537720297,1 +12195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,1.641877895,1 +12196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.238819826,1 +12197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.486797996,1 +12199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.60890464,1 +12200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.568107953,1 +12201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.574174168,1 +12198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.409387584,1 +12202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.101974436,1 +12203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,1.735640401,1 +12204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.255755317,1 +12206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.965638165,1 +12205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.506848272,1 +12208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.345468028,1 +12207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.594255643,1 +12210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.910460168,1 +12209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.662512935,1 +12211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.309913757,1 +12212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.561425226,1 +12213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.023603887,1 +12215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.080150499,1 +12216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.077908302,1 +12217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.089672487,1 +12214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,8.094250784,1 +12219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.637478548,1 +12218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.242606639,1 +12220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.099380689,1 +12221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.309426242,1 +12223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,8.992496206,1 +12222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.030045868,1 +12224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.39507744,1 +12227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.798501824,1 +12226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.924099468,1 +12225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.364291899,1 +12228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.794478268,1 +12229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.194245913,1 +12230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.27347068,1 +12231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.601795593,1 +12232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.973150758,1 +12234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.704804378,1 +12233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.149708754,1 +12236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.903051831,1 +12235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.286119674,1 +12237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,0.598570263,1 +12238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.353745702,1 +12239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.788704807,1 +12241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.847758858,1 +12242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.732264794,1 +12240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.572395016,1 +12243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.747416667,1 +12245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.05863198,1 +12244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.655022614,1 +12246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.899778012,1 +12247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,8.502231802,1 +12248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.574170404,1 +12249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.694271734,1 +12251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.332775792,1 +12250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.14839566,1 +12252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.667930852,1 +12253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.972974929,1 +12255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.665415156,1 +12257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.987602214,1 +12256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.725423409,1 +12259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.741306229,1 +12258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,9.978164621,1 +12260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.878869211,1 +12254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.920399055,1 +12262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.61227868,1 +12263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.424944905,1 +12261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.463946623,1 +12266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.870561412,1 +12264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.153955564,1 +12265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.261841079,1 +12267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.576491767,1 +12269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.151665614,1 +12268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.808339623,1 +12270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.847529275,1 +12271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.244320733,1 +12273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.038168503,1 +12274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.936232415,1 +12275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.12188461,1 +12272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.288041075,1 +12276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.904740997,1 +12277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,0.903578952,1 +12278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.390041096,1 +12280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.636173345,1 +12279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.955268258,1 +12281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.550290924,1 +12282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.045461879,1 +12284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.455461432,1 +12285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.010835964,1 +12283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.116739828,1 +12289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.726004138,1 +12286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.009757837,1 +12288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.043434924,1 +12287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.167753979,1 +12290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.220179685,1 +12292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.723757916,1 +12291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.147472175,1 +12294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.369888892,1 +12296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.765504186,1 +12295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.941598607,1 +12293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.462752421,1 +12298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.005533129,1 +12297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.849039522,1 +12300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.297257279,1 +12299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.42768783,1 +12301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.217522811,1 +12302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.356585038,1 +12303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.711601297,1 +12304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.873945682,1 +12305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.497676208,1 +12306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.212881865,1 +12308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.142081228,1 +12307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.69224201,1 +12309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.45222095,1 +12310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.579090876,1 +12311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.438505841,1 +12314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.655375434,1 +12315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.592643215,1 +12312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.45553905,1 +12313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.477269858,1 +12316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.891713477,1 +12317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.125730231,1 +12318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.593768568,1 +12320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.27227626,1 +12319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.268936415,1 +12321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.059175812,1 +12322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,8.744989646,1 +12323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.927557664,1 +12325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.601312413,1 +12326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.12089257,1 +12324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.612491181,1 +12327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.509196321,1 +12328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.847954329,1 +12330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.582230481,1 +12329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.786185358,1 +12331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.180295344,1 +12332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.425394654,1 +12333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,1.958150949,1 +12334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.783666082,1 +12335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.841225477,1 +12336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.752491552,1 +12338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.345725494,1 +12339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.002966998,1 +12340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.17376442,1 +12341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.982854613,1 +12342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,11.43454394,1 +12343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.642959665,1 +12337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.509763442,1 +12344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.222646543,1 +12345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.092378697,1 +12346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.653767473,1 +12347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.432055821,1 +12348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.372548941,1 +12349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.87480536,1 +12350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.509344361,1 +12351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.15265345,1 +12353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.571133476,1 +12352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.741872632,1 +12354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.309482527,1 +12355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.556038226,1 +12357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,1.452971047,1 +12358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,1.682960056,1 +12359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.576887782,1 +12356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.165004422,1 +12360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.051317268,1 +12362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.256108219,1 +12361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.512087469,1 +12363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.258786959,1 +12365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.016976978,1 +12364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.893213971,1 +12366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.401728184,1 +12367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.428335738,1 +12368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.846134623,1 +12369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.623170108,1 +12371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.365893549,1 +12370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.978976096,1 +12372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.750153122,1 +12373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.361114625,1 +12375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.554833342,1 +12376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.32091212,1 +12374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.142727826,1 +12377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.038499426,1 +12379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.521372552,1 +12380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.233986891,1 +12381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.696449382,1 +12382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.357200988,1 +12378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.212799674,1 +12383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.716051442,1 +12384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.418279854,1 +12385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.236181788,1 +12387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.757808356,1 +12386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.104628047,1 +12388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.912136154,1 +12391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.453647756,1 +12389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.281216626,1 +12390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.715520617,1 +12393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.054522974,1 +12394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,8.644393237,1 +12392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.933337688,1 +12395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.390677406,1 +12397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.047988481,1 +12398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.689555836,1 +12399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.545845238,1 +12400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.837830171,1 +12401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.865680226,1 +12402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,1.598934902,1 +12396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.312998726,1 +12403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.202136741,1 +12406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.373003224,1 +12404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.14169582,1 +12407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.551272191,1 +12408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.383279604,1 +12409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.58436352,1 +12405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.717884667,1 +12410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.008005941,1 +12411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.538014897,1 +12412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.304984294,1 +12414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.255612572,1 +12416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.140800278,1 +12413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.805498939,1 +12417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.469136662,1 +12418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.760805608,1 +12419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.873912805,1 +12415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.726341375,1 +12420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.427000995,1 +12422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.444411763,1 +12421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.389329646,1 +12423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.762876667,1 +12424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.931705739,1 +12425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.338279123,1 +12427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.774254441,1 +12428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.454350941,1 +12429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.586952016,1 +12426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.848148025,1 +12430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.589400226,1 +12431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.422124956,1 +12435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.917381014,1 +12434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.813835596,1 +12433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.257561954,1 +12432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.212186598,1 +12439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.329916212,1 +12437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.089468636,1 +12438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.153755578,1 +12436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,8.193710349,1 +12441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.750557896,1 +12442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.297885441,1 +12440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.215950067,1 +12443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.247474946,1 +12444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,9.739731609,1 +12445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.83967337,1 +12447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.680106875,1 +12448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.143099454,1 +12449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.133303918,1 +12450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.161454416,1 +12446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.184627297,1 +12452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.789698613,1 +12453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.545475816,1 +12451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,8.212366697,1 +12454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.501757738,1 +12455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.556483027,1 +12456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.213861144,1 +12457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.585145769,1 +12458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.773359403,1 +12459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.055107891,1 +12461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.617642703,1 +12460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.922093164,1 +12462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.749181343,1 +12463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.316930897,1 +12465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.262429858,1 +12464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.774049178,1 +12467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.049154992,1 +12466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.608194104,1 +12468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.7638817,1 +12469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.055904703,1 +12470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.593598133,1 +12472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.114960636,1 +12471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.103425243,1 +12473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.843188326,1 +12474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.641771389,1 +12477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.277475173,1 +12475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.33620157,1 +12476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.560814397,1 +12478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.646268069,1 +12480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.919051562,1 +12479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.309522269,1 +12481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.241609169,1 +12482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.156319635,1 +12483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.67072098,1 +12484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.774684459,1 +12486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.939076298,1 +12487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.682505822,1 +12488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.615299351,1 +12489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.162221128,1 +12485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.582226451,1 +12490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.569952956,1 +12491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,8.189409712,1 +12492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.888480044,1 +12494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.80711033,1 +12495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.042585967,1 +12496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.791514541,1 +12493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.288072107,1 +12498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.790922058,1 +12497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.544578998,1 +12500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.516279606,1 +12499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.782971131,1 +12502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.994751929,1 +12501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.208066755,1 +12503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.195377972,1 +12504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.611135541,1 +12505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.910240324,1 +12506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.593042557,1 +12508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.711341641,1 +12509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.766273193,1 +12510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.469911384,1 +12511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.596544306,1 +12507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.961575368,1 +12513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.857800492,1 +12512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.902714948,1 +12515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.114424774,1 +12514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.792313941,1 +12517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.108451893,1 +12516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.059499331,1 +12519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,8.943754706,1 +12518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.313300987,1 +12521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.844679414,1 +12520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.113467958,1 +12522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.290124677,1 +12524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.354623644,1 +12523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.974341194,1 +12525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.708829604,1 +12526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.239274861,1 +12527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.111149615,1 +12529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.891543589,1 +12530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,9.508724416,1 +12531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.294391269,1 +12528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.323423966,1 +12533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.473145986,1 +12532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.858416667,1 +12534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.6548311,1 +12535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.145139844,1 +12536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.320318912,1 +12537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.86972688,1 +12538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.820453182,1 +12539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.272959311,1 +12540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.021342744,1 +12541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.684774712,1 +12542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.916427997,1 +12544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.514000868,1 +12545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.502815036,1 +12543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.35369588,1 +12546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.560573635,1 +12547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.221483317,1 +12548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.412815732,1 +12550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.651366631,1 +12549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.194603875,1 +12551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.921279831,1 +12552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,1.762660286,1 +12553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.528427915,1 +12554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.462163839,1 +12555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.678931254,1 +12556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.850316211,1 +12557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.190758524,1 +12558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.423471271,1 +12559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.805640083,1 +12560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.250186599,1 +12561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.591683669,1 +12563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.583412382,1 +12564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.438766035,1 +12565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.072632242,1 +12566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.53956466,1 +12562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.236805119,1 +12567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.472202631,1 +12568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.949134838,1 +12569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.386727325,1 +12571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.12781212,1 +12572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.345586265,1 +12573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.351170782,1 +12570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.147145844,1 +12574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.81022637,1 +12575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.59267736,1 +12576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.24208632,1 +12577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.755127366,1 +12578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.865213987,1 +12580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.962312378,1 +12579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.948457605,1 +12582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.206973233,1 +12581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.497454054,1 +12583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.036411362,1 +12584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.28473666,1 +12585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.02321125,1 +12587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.592795677,1 +12588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,1.711301062,1 +12589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.599305322,1 +12590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.612005638,1 +12586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.203143301,1 +12591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.074306672,1 +12592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.14600122,1 +12593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.973881373,1 +12594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.398049066,1 +12595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.369924583,1 +12596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.120528738,1 +12598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.865851874,1 +12597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.528371179,1 +12599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.896832598,1 +12600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.098289175,1 +12601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.941955804,1 +12603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.238226516,1 +12604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.611311559,1 +12605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,1.851272444,1 +12602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.654944624,1 +12606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.189886349,1 +12607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.638352107,1 +12609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,1.256637353,1 +12608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.097541377,1 +12610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.048800871,1 +12611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.879202086,1 +12612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.19384607,1 +12613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.568876718,1 +12614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.710626989,1 +12615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.224800032,1 +12616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.412337578,1 +12617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.79607155,1 +12618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.314304067,1 +12619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.062005999,1 +12620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.311135517,1 +12621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.982321676,1 +12623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.693048732,1 +12622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.66903617,1 +12625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.236894655,1 +12626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.035480833,1 +12627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.011777292,1 +12624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.620029324,1 +12628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.649637603,1 +12630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.351253672,1 +12629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.657034052,1 +12632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,1.865095171,1 +12633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.607516679,1 +12634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.547345833,1 +12631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.742468678,1 +12635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.626199547,1 +12636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,8.368598033,1 +12637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.401534949,1 +12638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.586813013,1 +12639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.184530131,1 +12640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.417227126,1 +12641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.508559829,1 +12642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.079888999,1 +12643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.47247344,1 +12644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.036993405,1 +12645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.923725844,1 +12648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.116754389,1 +12647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.744846797,1 +12649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.042517159,1 +12646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,9.261492108,1 +12651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.866057498,1 +12652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.728565932,1 +12653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.086995866,1 +12650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,8.595109889,1 +12654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.25415555,1 +12656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.011177268,1 +12655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.687687663,1 +12657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.808796338,1 +12658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.209666419,1 +12660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.542555172,1 +12661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.735604039,1 +12659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.901496033,1 +12663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.354186628,1 +12662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.606338189,1 +12664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.811455352,1 +12667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.459157322,1 +12666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.074564323,1 +12668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.892080777,1 +12669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,8.992210067,1 +12670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.287976492,1 +12665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.465870515,1 +12671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.527228533,1 +12672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.578839297,1 +12673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.65406365,1 +12674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.412427736,1 +12675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.245925009,1 +12676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.701286917,1 +12677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.473196696,1 +12678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.298657198,1 +12679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.640411304,1 +12680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.45266427,1 +12681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.205323794,1 +12682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.284422876,1 +12683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.880037625,1 +12684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.110430664,1 +12685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.491358344,1 +12687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.331360996,1 +12688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.710334208,1 +12686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.90425183,1 +12689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.801116812,1 +12690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.252271343,1 +12692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.01111873,1 +12691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.887576372,1 +12693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.365987281,1 +12694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.869289813,1 +12696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.358001559,1 +12697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.164840292,1 +12695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.007751567,1 +12698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.877532152,1 +12699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.916885751,1 +12700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.437573363,1 +12702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.192572713,1 +12703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.988592895,1 +12704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.220377782,1 +12705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.328189506,1 +12701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.81689635,1 +12706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.10869167,1 +12707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.778948003,1 +12708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.469944061,1 +12711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.317101362,1 +12710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.465730272,1 +12712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.868325462,1 +12709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.295897674,1 +12714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.653461242,1 +12713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.915581649,1 +12715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.092289715,1 +12716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.252545277,1 +12717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.849096831,1 +12718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.950515813,1 +12719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.562144441,1 +12721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.035043608,1 +12720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.007025718,1 +12722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.700896911,1 +12723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.903970724,1 +12724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.126006595,1 +12726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.207711355,1 +12727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.878807261,1 +12728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.18191685,1 +12725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.898552771,1 +12729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.993831101,1 +12730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.284639898,1 +12731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.898826292,1 +12732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.609614163,1 +12733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,8.455471622,1 +12735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.814356452,1 +12734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.287463673,1 +12737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.187225695,1 +12736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.657308706,1 +12738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.977238064,1 +12739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.665277263,1 +12740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.556735828,1 +12742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.142525497,1 +12743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.193284444,1 +12741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.803332468,1 +12744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.479829401,1 +12746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.755421412,1 +12745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.24978843,1 +12747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.103008514,1 +12748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.660474278,1 +12749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.886192144,1 +12750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.735928188,1 +12752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.609868075,1 +12751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.862457189,1 +12753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.074142884,1 +12754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,1.701140775,1 +12755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.807590779,1 +12756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.237258631,1 +12757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.290629813,1 +12758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.535868778,1 +12759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,9.957456397,1 +12760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.182653057,1 +12761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.304675472,1 +12763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.320022807,1 +12762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.306020398,1 +12764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.339324102,1 +12765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.602908806,1 +12766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.783523665,1 +12767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.407422095,1 +12769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.752433787,1 +12771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.907171431,1 +12770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.824076105,1 +12768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.528081019,1 +12772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,10.33119997,1 +12773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.895313118,1 +12774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.160805061,1 +12776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,9.363645617,1 +12778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.651303736,1 +12775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.432996977,1 +12777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.966984367,1 +12779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.696950855,1 +12780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.197264211,1 +12781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.085111254,1 +12782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.459377783,1 +12783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.372234902,1 +12784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.70667253,1 +12786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.845975803,1 +12787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,1.557138257,1 +12788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.4337095,1 +12789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.982517126,1 +12785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.058052905,1 +12791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.264858858,1 +12790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.747353014,1 +12793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.367640874,1 +12792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.351146786,1 +12794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.110667155,1 +12795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.479821909,1 +12796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.493462862,1 +12797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.336103355,1 +12798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.658217723,1 +12799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.98193685,1 +12801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,8.250872146,1 +12800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.217902766,1 +12802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.875387743,1 +12803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.813861074,1 +12804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.399458026,1 +12806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.672073561,1 +12808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.358136068,1 +12807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.995673824,1 +12805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.414211315,1 +12809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.112635,1 +12810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.133308634,1 +12811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.78696294,1 +12812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.449910544,1 +12814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.882656507,1 +12813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.407727444,1 +12815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.363903102,1 +12816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.714035866,1 +12817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.123211235,1 +12818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.109764509,1 +12819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.779212977,1 +12821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.973997847,1 +12823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.068509813,1 +12822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.960206124,1 +12820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.969026342,1 +12825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.659602919,1 +12826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.534663618,1 +12824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.288506736,1 +12827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.405514617,1 +12828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,8.413515561,1 +12829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.868212208,1 +12830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.677820569,1 +12831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.619862291,1 +12832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.682840235,1 +12833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,8.782232448,1 +12836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.423345038,1 +12837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.62017281,1 +12835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,1.744956856,1 +12834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.600574199,1 +12838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.611666007,1 +12841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.471386547,1 +12839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.091694514,1 +12840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.841834247,1 +12842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.801413383,1 +12844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.568744282,1 +12843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.381373802,1 +12845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.160068192,1 +12847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.891633351,1 +12846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.391262681,1 +12849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.237576154,1 +12850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.67774213,1 +12851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.15330596,1 +12848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.92054291,1 +12852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.952549299,1 +12853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.022504637,1 +12855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,8.02855875,1 +12854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.859272642,1 +12856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.401922627,1 +12857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.260743324,1 +12859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.653782915,1 +12858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.940694126,1 +12860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.098952015,1 +12861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.56474155,1 +12862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.70697829,1 +12863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.775770013,1 +12866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.353826461,1 +12865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.880941143,1 +12864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.278847845,1 +12868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.779905913,1 +12867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.620042814,1 +12870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.553878091,1 +12869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.290507834,1 +12872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.967402714,1 +12871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.233158342,1 +12874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.32092736,1 +12875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.868415455,1 +12876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.797499884,1 +12873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.995878101,1 +12877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.064752496,1 +12878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.476345429,1 +12879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.156765394,1 +12881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.457008761,1 +12883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.637555595,1 +12880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.802065855,1 +12882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.206213404,1 +12884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.059408256,1 +12885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.083963551,1 +12886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.185635171,1 +12887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.208046244,1 +12888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.443882878,1 +12889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.745549821,1 +12890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.023845153,1 +12891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.428831594,1 +12892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.092657741,1 +12894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.832230259,1 +12895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.78659471,1 +12896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.51763734,1 +12897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.887232797,1 +12898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.328108953,1 +12893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.468205373,1 +12899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.190960255,1 +12902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.548631363,1 +12900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.525096771,1 +12901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.353506293,1 +12903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.399607665,1 +12904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.062437262,1 +12905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.931998547,1 +12906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.979298915,1 +12907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.022103027,1 +12909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.377890404,1 +12910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.695713312,1 +12911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.830574027,1 +12908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.177638887,1 +12912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.357564273,1 +12913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.218431892,1 +12914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.896273586,1 +12915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.317994036,1 +12916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.590121314,1 +12917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.156063129,1 +12918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,8.960355349,1 +12920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.31838511,1 +12921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.637997388,1 +12922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.596782653,1 +12919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.600008886,1 +12923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.604009623,1 +12924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.416825687,1 +12925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.447671348,1 +12926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.46707967,1 +12927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.595453251,1 +12928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.667403771,1 +12929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.082511958,1 +12930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.737710314,1 +12931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.755120841,1 +12933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.853154111,1 +12932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.791109056,1 +12934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.886980163,1 +12937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.173958622,1 +12935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.730298375,1 +12936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.774921627,1 +12940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.486941232,1 +12939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.465926256,1 +12938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.331846889,1 +12941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.002647797,1 +12942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.283986414,1 +12943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.818390331,1 +12944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.47699193,1 +12945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.768197526,1 +12946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.076091075,1 +12947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.198820136,1 +12948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.325638409,1 +12951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.496367394,1 +12950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.462949469,1 +12952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.211970829,1 +12953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.845175277,1 +12954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.018627759,1 +12955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.514758617,1 +12949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.909721399,1 +12956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.461969829,1 +12957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.860787855,1 +12958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.865466902,1 +12960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.468801409,1 +12959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.523665283,1 +12961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.342860882,1 +12964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.968262934,1 +12962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.777929823,1 +12965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.029749462,1 +12963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.622989096,1 +12966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.457304512,1 +12967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,8.243540826,1 +12968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.2944752,1 +12969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.638188115,1 +12971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.533841515,1 +12972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.914426226,1 +12973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.06913831,1 +12974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.076440923,1 +12975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.30633442,1 +12970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.632958568,1 +12976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.91454501,1 +12977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.879936523,1 +12980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.670352718,1 +12978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.199270984,1 +12979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.203461133,1 +12981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.679081088,1 +12982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.063832936,1 +12983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.647588603,1 +12984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.554814157,1 +12985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.605730788,1 +12986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.173839754,1 +12989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.487819382,1 +12988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.289383068,1 +12987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.306142665,1 +12990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.550104983,1 +12992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.319410648,1 +12993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,6.479037661,1 +12994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.632761008,1 +12995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,3.537128066,1 +12991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.878486611,1 +12996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,1.449449689,1 +12997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,5.568427708,1 +12998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,2.963703028,1 +12999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,4.575724446,1 +13000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,3,1,7.608594912,1 +22002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.306718913,1 +22003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.902036241,1 +22001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.399343549,1 +22004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.345839196,1 +22005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.232410298,1 +22006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.667989761,1 +22007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.687359653,1 +22009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.658475683,1 +22010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.853166796,1 +22008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.0229608,1 +22011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,9.249505053,1 +22012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.599586499,1 +22013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.709873307,1 +22014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.728973437,1 +22016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.26115922,1 +22017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.060070148,1 +22018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.934813185,1 +22019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.686946951,1 +22015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.95058228,1 +22020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.072790154,1 +22021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.068169861,1 +22022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.441159477,1 +22024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,1.800837568,1 +22025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.813933186,1 +22023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.571606776,1 +22026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.341451921,1 +22028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.874869641,1 +22027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.394857846,1 +22029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.532703709,1 +22030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.471748684,1 +22031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.43468648,1 +22032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.488464378,1 +22034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.409277556,1 +22036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.925400844,1 +22035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.282633612,1 +22033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.823342476,1 +22037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.504182806,1 +22038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.637348887,1 +22039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.488264161,1 +22041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.908119761,1 +22042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.79677654,1 +22040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.522827818,1 +22043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.929370795,1 +22044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.88233991,1 +22046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.678657728,1 +22045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.712231917,1 +22048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.677623133,1 +22047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.416951694,1 +22049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.038944741,1 +22050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.28290011,1 +22051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.108286471,1 +22052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.646898492,1 +22054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.483238512,1 +22056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.746526161,1 +22055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.535895106,1 +22057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.196328196,1 +22053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.506638914,1 +22058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.144716989,1 +22059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.819518,1 +22061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.51620778,1 +22060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,1.80202308,1 +22062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.532102495,1 +22063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.331427374,1 +22064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.300999789,1 +22065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.434303723,1 +22066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.315725557,1 +22067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.159282489,1 +22069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.017869476,1 +22068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,8.740834067,1 +22071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.915839505,1 +22070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.070211554,1 +22072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.250280152,1 +22074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,1.716976315,1 +22075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.285107418,1 +22073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.612266055,1 +22077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.285082033,1 +22078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.510928634,1 +22079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.045710867,1 +22076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.493963786,1 +22080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.567068313,1 +22081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.444625378,1 +22082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.690219575,1 +22084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.30498456,1 +22085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.569698081,1 +22083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.852944555,1 +22086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.117518962,1 +22087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.474137443,1 +22089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.009054971,1 +22088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.224798962,1 +22091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.263074681,1 +22092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.915430801,1 +22090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.28094739,1 +22093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.582797377,1 +22094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.402564135,1 +22096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.931697088,1 +22097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.951331033,1 +22098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.696920435,1 +22095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.621894157,1 +22100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.439039351,1 +22099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.141377762,1 +22101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.758350939,1 +22102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.850687696,1 +22104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.70965521,1 +22103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.404390936,1 +22106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.924785724,1 +22105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.215750249,1 +22107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.438455228,1 +22108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.107346403,1 +22110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.14429808,1 +22109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.79230257,1 +22111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.680977317,1 +22112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.529219955,1 +22113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.209818361,1 +22116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.245512801,1 +22117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.851512101,1 +22115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.338517288,1 +22114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.352389565,1 +22118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.614990425,1 +22120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.99533616,1 +22119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.897164058,1 +22121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.319142921,1 +22124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.568741686,1 +22122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,1.942907835,1 +22123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.552800425,1 +22125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.455842516,1 +22126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.715543989,1 +22127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.772284862,1 +22128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.146635992,1 +22129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,8.712639948,1 +22131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.035196388,1 +22130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.833266933,1 +22133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.737234683,1 +22132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.708146295,1 +22134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.629593885,1 +22135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.948397145,1 +22136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.997779086,1 +22138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.316480166,1 +22139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.258102937,1 +22140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.180009811,1 +22141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.595514233,1 +22137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.359286889,1 +22142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.349152478,1 +22143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.308138242,1 +22144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.785822975,1 +22146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.7182525,1 +22147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.118059209,1 +22148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.234006331,1 +22145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.226522136,1 +22149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.771356343,1 +22150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.23770126,1 +22151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.412921893,1 +22152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.126356586,1 +22153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.161401452,1 +22154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.617350088,1 +22155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.660831974,1 +22156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.585984106,1 +22157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.897622871,1 +22159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.125294547,1 +22158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.991234597,1 +22161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.038717769,1 +22162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.42422988,1 +22163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.463944554,1 +22160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.618748028,1 +22164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.166675163,1 +22165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.629225089,1 +22167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.9400213,1 +22166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.175793728,1 +22168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.845918405,1 +22169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.779735156,1 +22171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.098324509,1 +22172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.686636122,1 +22170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.726289028,1 +22173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.962268601,1 +22174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.334603118,1 +22175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.115884604,1 +22176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.826344372,1 +22177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.25070552,1 +22178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.323579497,1 +22179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.020908659,1 +22182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.597424237,1 +22181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.219114081,1 +22180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.893865359,1 +22183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.809407,1 +22184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.283821428,1 +22185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.809519587,1 +22187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.105048197,1 +22186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.469786049,1 +22188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.12121213,1 +22189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.250567938,1 +22192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.142291212,1 +22191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.280018145,1 +22190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.739663503,1 +22193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.572141465,1 +22196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.311678263,1 +22194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.452690519,1 +22195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.04904799,1 +22197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.838788705,1 +22198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.172172837,1 +22200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.399260126,1 +22199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.36918442,1 +22201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.5874011,1 +22202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.004790109,1 +22203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.272778347,1 +22204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.422194964,1 +22206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.679871517,1 +22207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.104342239,1 +22205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.748032171,1 +22208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.078236216,1 +22210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.516981066,1 +22211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.090925936,1 +22209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.354354861,1 +22214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.519998523,1 +22212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.221927291,1 +22213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.929512679,1 +22215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.361813217,1 +22216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.511904394,1 +22217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.283410842,1 +22218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.047370949,1 +22219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.03309719,1 +22220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.76020329,1 +22222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.415375524,1 +22223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.176478465,1 +22221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.702202517,1 +22224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.937381914,1 +22225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.360816461,1 +22227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.109896528,1 +22228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.826318923,1 +22226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.082763527,1 +22229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.820821632,1 +22230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.446756815,1 +22231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.903107591,1 +22233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.298866823,1 +22232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.43800089,1 +22234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.651422169,1 +22235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.003776917,1 +22236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.660704926,1 +22237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,8.122006897,1 +22239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.706489051,1 +22240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.81134944,1 +22238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.717491251,1 +22241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.143177276,1 +22242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.761518219,1 +22244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.813610686,1 +22243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.372753443,1 +22246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.553895569,1 +22247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.942105085,1 +22248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.646972448,1 +22245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.887216137,1 +22249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.908090624,1 +22250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,8.495495801,1 +22251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.682008901,1 +22252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.643514785,1 +22253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.182837995,1 +22255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.515055483,1 +22256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.186143814,1 +22257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.172100553,1 +22254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.123398613,1 +22258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.899810938,1 +22259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.591585214,1 +22260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.261150916,1 +22261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.951103285,1 +22262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.910836781,1 +22264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.046628481,1 +22265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.922999985,1 +22266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.378690257,1 +22267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.492295659,1 +22268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.794286191,1 +22269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.614124442,1 +22270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.34698284,1 +22271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.282458021,1 +22263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.073491596,1 +22272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.272829449,1 +22273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.329379892,1 +22275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.575892546,1 +22274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.86971228,1 +22276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.025939959,1 +22277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.263963267,1 +22278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.987408839,1 +22279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.268175657,1 +22280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.610950038,1 +22281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.149217082,1 +22282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.453685692,1 +22283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.532503943,1 +22284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.321671027,1 +22285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.984775599,1 +22287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.90736281,1 +22288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.375751529,1 +22286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.899267256,1 +22289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.707779754,1 +22290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.480710482,1 +22291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.974335543,1 +22292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.291036308,1 +22293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.814160605,1 +22294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.537614974,1 +22295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.467938608,1 +22296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.900208956,1 +22297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.336370082,1 +22298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.745304084,1 +22299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.202532476,1 +22300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.166245827,1 +22301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.665482549,1 +22303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,8.133715472,1 +22302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.177428269,1 +22305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.490216313,1 +22306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.738464533,1 +22307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.571473647,1 +22304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.483684437,1 +22309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.658466114,1 +22308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,1.861585472,1 +22310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.302576554,1 +22311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.475003862,1 +22312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.710532397,1 +22313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.589218917,1 +22314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.347524871,1 +22315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.709732347,1 +22317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.383050477,1 +22316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.380274746,1 +22318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.054133816,1 +22319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.631384471,1 +22322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.064182888,1 +22320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.755928165,1 +22321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.291749413,1 +22323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.178615602,1 +22324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.424903192,1 +22325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.859007988,1 +22326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.823014711,1 +22329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.660870059,1 +22328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.119097696,1 +22327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.531609093,1 +22330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.154422721,1 +22331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.975468757,1 +22332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.060404332,1 +22333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.583877449,1 +22334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.837142919,1 +22336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.21085214,1 +22338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.236189102,1 +22337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.871434942,1 +22335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.020538259,1 +22341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.762767125,1 +22339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.341994671,1 +22340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.727545724,1 +22342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.76019974,1 +22343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.052786225,1 +22344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.270435643,1 +22345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.322724663,1 +22346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.255123479,1 +22347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.665633771,1 +22349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.249794453,1 +22351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.170874134,1 +22348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.765985092,1 +22350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.109507362,1 +22352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.584457263,1 +22354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.364998628,1 +22353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.883006062,1 +22355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.584584144,1 +22357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.601467646,1 +22356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.519274954,1 +22358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.065048802,1 +22359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.950632512,1 +22362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.029749355,1 +22361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.75062526,1 +22363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.275168062,1 +22364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.876246512,1 +22360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.862164673,1 +22365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.145240458,1 +22368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.344639953,1 +22366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.850950874,1 +22367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.348482561,1 +22369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.300024392,1 +22370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.879536571,1 +22371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.154680965,1 +22372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.273420436,1 +22374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.086464092,1 +22375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.837447948,1 +22373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.578514514,1 +22376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.831551427,1 +22378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.087618212,1 +22380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.28644254,1 +22377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.602943651,1 +22381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.548899922,1 +22379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.690049998,1 +22383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.571281109,1 +22382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.493282013,1 +22385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.986988001,1 +22384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.711916156,1 +22386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.67648068,1 +22387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.32652717,1 +22388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.259220923,1 +22389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.579994192,1 +22390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.552623573,1 +22391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.483785985,1 +22393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.777504822,1 +22395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.105467268,1 +22394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.634548128,1 +22396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,0.987600705,1 +22392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.524864528,1 +22397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.173095212,1 +22398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,8.187526262,1 +22399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.521824446,1 +22400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.975074419,1 +22401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.773794645,1 +22402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.559181753,1 +22403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.436883942,1 +22404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.454019626,1 +22405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.944373281,1 +22407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.466904919,1 +22406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.566353294,1 +22408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.972210636,1 +22409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.117814603,1 +22410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.737034658,1 +22411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.195510223,1 +22414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.473780423,1 +22413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.143386664,1 +22412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.215330567,1 +22415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.51486802,1 +22416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.842485342,1 +22417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.864547645,1 +22418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.295617168,1 +22419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.270582922,1 +22420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.669306529,1 +22421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.292642102,1 +22423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.376843178,1 +22424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.282633719,1 +22422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.002932848,1 +22425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.302780529,1 +22426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,8.303466823,1 +22427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.144030378,1 +22429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.238527031,1 +22428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.930513664,1 +22430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.705633338,1 +22431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.855830002,1 +22433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.13981209,1 +22432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.370029654,1 +22434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.002537336,1 +22435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.5114535,1 +22437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.395722784,1 +22438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.931032071,1 +22436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.712127998,1 +22439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.978218807,1 +22440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.424504107,1 +22441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.577420294,1 +22442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.452478652,1 +22443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.836934318,1 +22444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.694766436,1 +22447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.225034459,1 +22445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.488003338,1 +22446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.77148509,1 +22448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.694491039,1 +22450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.515918561,1 +22449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,9.417241935,1 +22452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.679439758,1 +22451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.038601005,1 +22453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.89881238,1 +22454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.301814066,1 +22455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.152532332,1 +22456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.12285937,1 +22457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,1.113412811,1 +22458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.654841941,1 +22459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.656346514,1 +22460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.638385442,1 +22461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.625396772,1 +22462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.446640476,1 +22463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.388654232,1 +22465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.337661041,1 +22466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.700081933,1 +22467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.132518145,1 +22468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.218565444,1 +22469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.483718336,1 +22470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.427223341,1 +22471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.637130777,1 +22464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.478616315,1 +22472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.869381038,1 +22473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.372687508,1 +22474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.175333198,1 +22476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.106188233,1 +22475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.706618122,1 +22477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.951334667,1 +22478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.600135122,1 +22480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.079553972,1 +22481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.152568933,1 +22482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.013135832,1 +22484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.523367366,1 +22483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.218849866,1 +22485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.459937373,1 +22479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.246704467,1 +22486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.762087185,1 +22488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,1.966295429,1 +22489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.740433557,1 +22487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.721186048,1 +22492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.50888911,1 +22490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.396965886,1 +22491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.402954459,1 +22493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,8.583785459,1 +22494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.023107578,1 +22495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.603319601,1 +22496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.760678479,1 +22497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.464294855,1 +22499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.176503441,1 +22500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.781698994,1 +22501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.661324352,1 +22498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.928802517,1 +22502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.180480249,1 +22503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.885479834,1 +22505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.27157829,1 +22504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.745411769,1 +22506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.666112043,1 +22507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.779572533,1 +22508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.847910864,1 +22510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.859068253,1 +22509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.643742002,1 +22511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.839653442,1 +22512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.570385368,1 +22513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.154463127,1 +22515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.326815384,1 +22514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.937364773,1 +22517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.976229795,1 +22518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.12942588,1 +22519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.327194572,1 +22516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.10122294,1 +22521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.203664348,1 +22520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.959639308,1 +22523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.98372248,1 +22522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.059480554,1 +22525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.21384029,1 +22526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.248831692,1 +22524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.730697694,1 +22527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.948443851,1 +22528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.969707181,1 +22529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.602719772,1 +22530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.557691183,1 +22532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.441414155,1 +22534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.121691766,1 +22531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.100796448,1 +22533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.737911508,1 +22536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.62417709,1 +22535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.399410609,1 +22537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.472221663,1 +22538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.934208098,1 +22539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.858253299,1 +22540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.569438284,1 +22541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.686345693,1 +22542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.140784932,1 +22543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.482735079,1 +22544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.53402006,1 +22545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.69260864,1 +22546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.127446211,1 +22547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.721472155,1 +22548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.586514254,1 +22549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.985562001,1 +22551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.925325696,1 +22552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.596407476,1 +22550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.241348281,1 +22554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.00514835,1 +22553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.197036399,1 +22555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.899899927,1 +22556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.176078127,1 +22557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.201318484,1 +22558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.388436611,1 +22559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.765823659,1 +22560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.77895184,1 +22561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.199546607,1 +22563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.820067803,1 +22562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.55197212,1 +22564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.551271252,1 +22565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.552004214,1 +22566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.631495039,1 +22567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,1.958353297,1 +22568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.113050818,1 +22569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.028797503,1 +22570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.091799727,1 +22573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.296252935,1 +22572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.636744189,1 +22574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,1.040002897,1 +22575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.689963478,1 +22571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.210397154,1 +22576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.274416831,1 +22577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.128874339,1 +22578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.596599878,1 +22580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.971088787,1 +22581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.807752808,1 +22579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.816648208,1 +22582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.331804456,1 +22583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.091508234,1 +22584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.052379619,1 +22585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.895534385,1 +22586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.209484874,1 +22587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.423771619,1 +22588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.464185391,1 +22590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.016727793,1 +22589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.646106389,1 +22591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.184529806,1 +22593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.40498645,1 +22592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.168894387,1 +22595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.977772824,1 +22596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.451504445,1 +22597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.949679525,1 +22598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.94871334,1 +22599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.327676786,1 +22600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.788748793,1 +22594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.315699214,1 +22601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.178627877,1 +22603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.713731182,1 +22604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.464223115,1 +22602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.637972369,1 +22605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.866700313,1 +22606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.526304753,1 +22608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.450521887,1 +22607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.411742453,1 +22609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.017830914,1 +22610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.864240928,1 +22611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.787156329,1 +22612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.896687021,1 +22613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.87121624,1 +22614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.036508946,1 +22615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.603092334,1 +22617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.891446588,1 +22616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.194423948,1 +22618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.232433256,1 +22620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.132089451,1 +22622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.883794753,1 +22621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.620618613,1 +22623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.138178017,1 +22619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.814729914,1 +22624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.673320079,1 +22625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.36027566,1 +22626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.265233407,1 +22628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.445299366,1 +22629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.293470975,1 +22627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.89924091,1 +22633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.572195399,1 +22631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.806310791,1 +22630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.35317274,1 +22632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.198255023,1 +22635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.896635266,1 +22634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.10672923,1 +22636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.463189206,1 +22638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.498033244,1 +22637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.942265913,1 +22640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.945249682,1 +22641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.858202242,1 +22642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.42678824,1 +22639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.729669839,1 +22643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.66451323,1 +22645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.395513309,1 +22646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.528429009,1 +22647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.232106044,1 +22644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.006986448,1 +22649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,1.822754443,1 +22648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.681968171,1 +22650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.149746911,1 +22651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.678716725,1 +22652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.644526457,1 +22654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.81993453,1 +22653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.557648239,1 +22655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.661336775,1 +22657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.81269081,1 +22658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.101951029,1 +22659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.445694608,1 +22656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.703395954,1 +22660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.351691431,1 +22662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.518283766,1 +22663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.200301,1 +22664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.606949747,1 +22665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.231513774,1 +22666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.072588039,1 +22667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.18243726,1 +22661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.260662759,1 +22668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,8.352298245,1 +22669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.679618497,1 +22670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.323690655,1 +22671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.481681274,1 +22672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.742363654,1 +22673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.266017478,1 +22674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.966303431,1 +22676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.01567746,1 +22678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.715777731,1 +22675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.051227634,1 +22677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.687232288,1 +22681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.994308619,1 +22679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.455610979,1 +22680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.41836879,1 +22682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.276310048,1 +22684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.46849435,1 +22685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.573767838,1 +22686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.401503465,1 +22683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.439831744,1 +22687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.670976427,1 +22688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.591093099,1 +22689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.181850284,1 +22691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.205181089,1 +22692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.375229166,1 +22690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.565285497,1 +22694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.552140686,1 +22693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.158406551,1 +22695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.016771073,1 +22696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.960594558,1 +22697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.18715957,1 +22698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.940308279,1 +22699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.642584536,1 +22700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.701485577,1 +22701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.111719886,1 +22702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.063980226,1 +22704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.817801421,1 +22705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.761771457,1 +22706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.859293847,1 +22707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.987298406,1 +22703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.722105265,1 +22708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.185749523,1 +22709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.940511855,1 +22710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.631806384,1 +22711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.127972877,1 +22712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.631367924,1 +22713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.992311243,1 +22714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.30052044,1 +22715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.02467854,1 +22716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.117761388,1 +22717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.5060554,1 +22718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.517012285,1 +22720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.818730863,1 +22721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.516200408,1 +22722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.379168889,1 +22723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.305951719,1 +22719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.331947188,1 +22724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.790937832,1 +22725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.968341094,1 +22726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.702242939,1 +22727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,1.629350641,1 +22728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.486708191,1 +22729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.034729142,1 +22730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.005652883,1 +22731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.62323669,1 +22732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.717342262,1 +22733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.487034117,1 +22734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.687410113,1 +22735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.447150919,1 +22736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.225441481,1 +22737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.466048534,1 +22740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.167221977,1 +22739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.80182156,1 +22738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.546972599,1 +22742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.461632911,1 +22741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.182825146,1 +22743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.830708577,1 +22745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.770875735,1 +22744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.624715308,1 +22746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.033397317,1 +22747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.030412678,1 +22748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.990713593,1 +22750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.688152117,1 +22749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.523738615,1 +22751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.157960317,1 +22753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.73740496,1 +22752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.698264098,1 +22754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.708333644,1 +22757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,8.697576696,1 +22756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.408005167,1 +22755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.940398292,1 +22759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.952564545,1 +22760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.648892679,1 +22761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.623175804,1 +22758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.408339688,1 +22763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.109695043,1 +22762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.893640399,1 +22764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.848620776,1 +22765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.739015819,1 +22766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.717760227,1 +22768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.020918158,1 +22769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.394609915,1 +22767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.061162528,1 +22770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.990040377,1 +22772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,8.588809853,1 +22773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.751249235,1 +22771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.174085291,1 +22776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.939681734,1 +22775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.748874594,1 +22777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.150832198,1 +22774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.542310184,1 +22778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.371505391,1 +22780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.130077098,1 +22781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.621580855,1 +22782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.340117045,1 +22779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.002552923,1 +22784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.258528522,1 +22786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.837273249,1 +22783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.184231481,1 +22787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,9.344535652,1 +22785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.61630242,1 +22788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.797116633,1 +22789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.116006147,1 +22791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.903373457,1 +22792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.322769913,1 +22793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,8.008637636,1 +22794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.324150733,1 +22790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.106921133,1 +22797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.02595219,1 +22796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.352474554,1 +22795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.069643415,1 +22798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.090974056,1 +22801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.698683692,1 +22802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.702225617,1 +22799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.041094067,1 +22803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.739183767,1 +22804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.737117913,1 +22805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.949788759,1 +22800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.973795299,1 +22806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.83723291,1 +22808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.347525908,1 +22809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.985986473,1 +22811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.843922616,1 +22807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,1.687698264,1 +22812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.524139759,1 +22810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.902912669,1 +22814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.590597161,1 +22815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.994964598,1 +22813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.911260458,1 +22816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.93440998,1 +22817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.226353819,1 +22820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.060804495,1 +22819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.704613207,1 +22821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.593660865,1 +22822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.074268789,1 +22823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.781436231,1 +22818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.167182813,1 +22825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.786963856,1 +22826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.087419146,1 +22824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.834793879,1 +22827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.028846272,1 +22829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.759506344,1 +22830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.093762659,1 +22828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.274342518,1 +22831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.001606427,1 +22833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.651411748,1 +22832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.192157648,1 +22834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.097529216,1 +22835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.262422374,1 +22836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.859873079,1 +22838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.97415663,1 +22837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.036036933,1 +22840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.069810136,1 +22841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.147072462,1 +22842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.310272448,1 +22839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.62708446,1 +22845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.645417731,1 +22844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.748435865,1 +22843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.19800678,1 +22846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.747974457,1 +22847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.710481945,1 +22848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.208424912,1 +22849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.504562134,1 +22850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,8.350937651,1 +22851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.591989873,1 +22852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.066695466,1 +22853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.853974789,1 +22854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.768928899,1 +22855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.373456884,1 +22856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.436502048,1 +22857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.160473293,1 +22859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.944836964,1 +22860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.455296021,1 +22861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.683902738,1 +22858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.566569937,1 +22862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.896298488,1 +22863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.547535947,1 +22864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.663669948,1 +22865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.581010868,1 +22866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.568567981,1 +22867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.878222372,1 +22868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.503871399,1 +22869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.686912839,1 +22870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.196660159,1 +22871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.209525251,1 +22872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.224112346,1 +22873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.590591253,1 +22874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.40500598,1 +22875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,1.53692099,1 +22876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.688457704,1 +22878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.105538847,1 +22879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.960375812,1 +22877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.128327193,1 +22880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.270342412,1 +22881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.680995112,1 +22882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.053653868,1 +22883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.595199046,1 +22884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,1.709248187,1 +22885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.166822299,1 +22886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.303576291,1 +22888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.127537251,1 +22887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.266004211,1 +22889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.404483959,1 +22890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.0905748,1 +22892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.364015053,1 +22891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.762935965,1 +22893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.704329712,1 +22894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,1.524884872,1 +22896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.98576921,1 +22897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.982597714,1 +22898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.639717939,1 +22895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.415624201,1 +22900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.660230863,1 +22899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.294229088,1 +22901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.608389194,1 +22903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.643577953,1 +22904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.621726909,1 +22905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.197067105,1 +22902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.07165623,1 +22907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.57777419,1 +22906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.71198663,1 +22908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.404451563,1 +22909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.287050273,1 +22910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.097776348,1 +22911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.532795644,1 +22912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.935828195,1 +22913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.116671895,1 +22914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.611814429,1 +22915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.986780529,1 +22916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.813587784,1 +22918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.618118759,1 +22919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.485153373,1 +22920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.768909906,1 +22921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.143359085,1 +22922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.067961539,1 +22923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.32194896,1 +22917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.385841626,1 +22926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.536155473,1 +22924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.168771939,1 +22925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.765275225,1 +22929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.70552567,1 +22928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,9.667664637,1 +22927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.430400494,1 +22930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.475218473,1 +22932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.275476486,1 +22931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.022944834,1 +22933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.504657932,1 +22934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.776130315,1 +22935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.7465926,1 +22936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.575243744,1 +22938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.83611645,1 +22937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.162864378,1 +22939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.424348363,1 +22941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.567682125,1 +22940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.537202172,1 +22942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.004718979,1 +22943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.128127872,1 +22944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.398599588,1 +22945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.3822216,1 +22946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,1.33051657,1 +22947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.686801011,1 +22948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.031429685,1 +22949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.672860011,1 +22950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.919800271,1 +22951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.077529688,1 +22952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.669033396,1 +22953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.661245198,1 +22954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.051882332,1 +22956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.213433877,1 +22955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.910969402,1 +22957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.034893801,1 +22960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.839627468,1 +22961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.55666588,1 +22959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.597435161,1 +22958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.673609151,1 +22962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.551665646,1 +22963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.206701911,1 +22964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.048514549,1 +22965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.868992506,1 +22967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.045956525,1 +22966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.746910844,1 +22968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.48903364,1 +22969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.023048591,1 +22971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.634878415,1 +22970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.021962247,1 +22972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.061321422,1 +22974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,1.413880535,1 +22975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.581552214,1 +22973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.02312436,1 +22976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.571281296,1 +22977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.009418608,1 +22978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.588104853,1 +22980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.819425325,1 +22981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.35144249,1 +22982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.234952467,1 +22979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.3354721,1 +22983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.064257789,1 +22987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.46610373,1 +22985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.970581836,1 +22984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,7.928767214,1 +22986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.672949371,1 +22988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.977297072,1 +22989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,2.949373544,1 +22990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.674374349,1 +22992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.374937451,1 +22994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.834984829,1 +22993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.586593356,1 +22995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,4.506487155,1 +22991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.9691927,1 +22996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.653048162,1 +22997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.853110935,1 +22998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,5.057266933,1 +23000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,6.622302074,1 +22999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,3,1,3.992963741,1 +32002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.369611389,1 +32003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.389500217,1 +32004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.080509652,1 +32001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.118885168,1 +32005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.213303927,1 +32006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.253111851,1 +32007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.88128382,1 +32009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.10342006,1 +32010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.285184625,1 +32008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.400824047,1 +32011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.413690765,1 +32013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.59742092,1 +32014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.49061116,1 +32012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.982126839,1 +32017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.794793294,1 +32018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,9.877527698,1 +32016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.859615589,1 +32015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.600594088,1 +32020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.440642176,1 +32019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.557278167,1 +32021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.193160326,1 +32022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.65815934,1 +32023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.211997782,1 +32025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.588859283,1 +32026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.921169986,1 +32027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.306556219,1 +32024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.92751015,1 +32028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.021021106,1 +32030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.664832474,1 +32029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.635847133,1 +32032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.409128138,1 +32034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.380084014,1 +32031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.739064164,1 +32033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.575794646,1 +32035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.973241547,1 +32036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.002636168,1 +32039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,1.570389498,1 +32037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,1.535452459,1 +32040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,8.150766551,1 +32041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.402582628,1 +32042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.859084784,1 +32038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.668638143,1 +32045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.894465799,1 +32043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.528485346,1 +32046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.929087631,1 +32044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.079238439,1 +32048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.942044446,1 +32050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.267630589,1 +32049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.441565801,1 +32047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.576420281,1 +32051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.154977651,1 +32052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.214895203,1 +32053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.034928516,1 +32055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.751391906,1 +32056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.126971348,1 +32054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.63809959,1 +32058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.967018985,1 +32060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.396088643,1 +32057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.041859898,1 +32059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.80887096,1 +32062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.178070919,1 +32061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.528818353,1 +32064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,8.05738415,1 +32063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.182453339,1 +32065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.162560269,1 +32066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.31476319,1 +32067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.537662496,1 +32068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.070239887,1 +32070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.861711517,1 +32071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.581835292,1 +32069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.527280206,1 +32073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.494866972,1 +32072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.002760534,1 +32074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.032427026,1 +32075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.755136834,1 +32076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.370700264,1 +32077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.450350081,1 +32078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.82987977,1 +32079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.683101469,1 +32080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.076026766,1 +32081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.856921079,1 +32083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.931600206,1 +32082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.439080073,1 +32084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.816730177,1 +32085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.429077035,1 +32087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.623811253,1 +32088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.50449774,1 +32086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.164282473,1 +32091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.162860092,1 +32090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.861394362,1 +32089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.422922622,1 +32092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.743896901,1 +32094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.128663138,1 +32093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.12440066,1 +32096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.951630079,1 +32095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.631501578,1 +32099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.953749164,1 +32098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.491731365,1 +32097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.5189395,1 +32100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.118203763,1 +32102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.089348782,1 +32103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.104952316,1 +32104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.452228669,1 +32101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.23536116,1 +32105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.191452961,1 +32106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.523337828,1 +32108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.09924405,1 +32109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.887340587,1 +32110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.11927267,1 +32111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.960206684,1 +32113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.992141982,1 +32112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.369062034,1 +32107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.238267615,1 +32114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.442005265,1 +32115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.258081333,1 +32116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.769614113,1 +32117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.20910311,1 +32119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.333559995,1 +32120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.547315599,1 +32118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.124986534,1 +32122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.834862013,1 +32121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.540055721,1 +32123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.406325123,1 +32124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.735326825,1 +32126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.39445691,1 +32125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.293420156,1 +32127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.532004819,1 +32128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.88355183,1 +32130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.948808036,1 +32131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.934536928,1 +32132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.41741889,1 +32133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.312220524,1 +32134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.671260556,1 +32129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.392810398,1 +32135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.758554758,1 +32136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.750610523,1 +32137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.847766293,1 +32138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.954726151,1 +32139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.881698038,1 +32140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.249127834,1 +32141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.95288784,1 +32142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.901593467,1 +32143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.161599275,1 +32145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.390518379,1 +32144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.335245682,1 +32147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.697664809,1 +32148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,1.631356735,1 +32149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.167620781,1 +32146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.70215093,1 +32151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.296101783,1 +32150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.399537849,1 +32152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.983720809,1 +32154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.124068112,1 +32153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.665562692,1 +32155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,1.832172815,1 +32156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.93471856,1 +32157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.734689328,1 +32158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.757183738,1 +32159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.147517883,1 +32160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.487889156,1 +32161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.578628224,1 +32162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.179435808,1 +32163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.679721613,1 +32164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.431058247,1 +32167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.503149181,1 +32165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.222377481,1 +32168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.431405821,1 +32166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.33860084,1 +32170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.308649061,1 +32169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.012419801,1 +32172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.038200635,1 +32171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.25406625,1 +32173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.43401675,1 +32174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.547387646,1 +32176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.362718213,1 +32177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.005998408,1 +32178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.578349336,1 +32175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.708649904,1 +32179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.588155813,1 +32182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,1.428777207,1 +32181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.045893187,1 +32183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.039204043,1 +32180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.39966753,1 +32184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.432126945,1 +32185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.649999729,1 +32186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.664753848,1 +32187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.043959947,1 +32188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.796139549,1 +32189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.215023829,1 +32190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.222170514,1 +32191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.001973052,1 +32194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,9.064813819,1 +32192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.255771244,1 +32193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.290383067,1 +32195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.665525287,1 +32196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.459352061,1 +32197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.782208318,1 +32198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.859411941,1 +32199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.956163569,1 +32201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.648513026,1 +32202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.017977752,1 +32203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.100796073,1 +32204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.653968514,1 +32205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.151371483,1 +32206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.130680084,1 +32207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.769424879,1 +32200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.535659777,1 +32209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.535193767,1 +32208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.51467126,1 +32210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.823178648,1 +32211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.571003926,1 +32213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.102861971,1 +32212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.078487262,1 +32215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.346153735,1 +32214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.763007207,1 +32216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.925907911,1 +32217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.772409637,1 +32219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.932464326,1 +32220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.962708654,1 +32221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.486273479,1 +32222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.059570203,1 +32223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.668146927,1 +32224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.377646466,1 +32218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.421718468,1 +32225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.413426998,1 +32226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.701450657,1 +32227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.852807448,1 +32228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.259464598,1 +32229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.242206152,1 +32231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.531693664,1 +32232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.412842358,1 +32233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.285898029,1 +32230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.326867262,1 +32234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.268724123,1 +32235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.892911538,1 +32236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,1.944630252,1 +32237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.848953055,1 +32238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.463267097,1 +32240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.250778817,1 +32241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.131068612,1 +32242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.855438441,1 +32239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.813159916,1 +32244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.011458055,1 +32243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.71932892,1 +32245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.909547346,1 +32246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.334124895,1 +32247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.551768688,1 +32249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.932953573,1 +32250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.652396731,1 +32251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.626455521,1 +32252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.645843671,1 +32248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.570189766,1 +32254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.339543733,1 +32253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.392913774,1 +32256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.473707732,1 +32255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.652939416,1 +32257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.723054259,1 +32258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.688070752,1 +32259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.479760407,1 +32260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.829757693,1 +32261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.84547054,1 +32262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.681525662,1 +32263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.646564332,1 +32264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.30689644,1 +32265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.368366599,1 +32266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.766552868,1 +32268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.566566001,1 +32269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.118346458,1 +32272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.014322893,1 +32271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.094859841,1 +32270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.002259978,1 +32267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.72998143,1 +32274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.832556887,1 +32273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.946285771,1 +32276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.201476932,1 +32277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.63441694,1 +32275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.30245283,1 +32278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.504643409,1 +32279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.849997629,1 +32280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.928344571,1 +32282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.75423413,1 +32283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.226494478,1 +32281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.5758036,1 +32284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.586208787,1 +32285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.558944075,1 +32287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,1.866662451,1 +32286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.119161834,1 +32288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.209793547,1 +32290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.639046963,1 +32289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.96438839,1 +32291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.906329185,1 +32292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,1.871155486,1 +32294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.111468241,1 +32295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.264661648,1 +32293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.964610836,1 +32296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.31343372,1 +32297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.524928175,1 +32298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.991198427,1 +32299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.175587856,1 +32300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.814553566,1 +32301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.048872109,1 +32303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.763608719,1 +32302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.561681135,1 +32304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.569747491,1 +32305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.944842309,1 +32306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.656254057,1 +32309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.493674112,1 +32307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.374878745,1 +32308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.028933443,1 +32310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.865587812,1 +32312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.232661512,1 +32311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.325782014,1 +32313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.086075462,1 +32316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.334323276,1 +32315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.718484487,1 +32314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.194641689,1 +32317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.76841127,1 +32318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.087556058,1 +32320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.364439904,1 +32321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,1.423592535,1 +32319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.678864312,1 +32322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.661188659,1 +32324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.91125725,1 +32325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.080597163,1 +32326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.528318085,1 +32327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.619565178,1 +32328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.441710614,1 +32323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.638273184,1 +32329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.938143459,1 +32330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.297719847,1 +32331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.227419637,1 +32333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.12283046,1 +32332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.396658516,1 +32334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.843923638,1 +32335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.892676875,1 +32337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.015861928,1 +32338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.311059963,1 +32336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.854630021,1 +32339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.828399379,1 +32341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.352243166,1 +32342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.10988051,1 +32340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.215228533,1 +32343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.062143146,1 +32345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.301071872,1 +32344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.108712453,1 +32347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.007954739,1 +32348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.628846404,1 +32349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.221261551,1 +32346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.283167562,1 +32351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.963167149,1 +32350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.877818197,1 +32352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.777097545,1 +32355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.286587346,1 +32353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.902388954,1 +32354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.194798247,1 +32357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.390544167,1 +32356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.017684012,1 +32358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.515469114,1 +32359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.941885584,1 +32360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.953235415,1 +32361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.108549656,1 +32363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.010071434,1 +32364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.305184294,1 +32366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.591709884,1 +32365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.652945172,1 +32362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.828540309,1 +32367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.752632751,1 +32369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.781963198,1 +32370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.212429642,1 +32368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.552636705,1 +32371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.730743856,1 +32372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.290691188,1 +32373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.566440605,1 +32374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.050086797,1 +32376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.283831753,1 +32375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.723733156,1 +32377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.395843201,1 +32378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.636860636,1 +32380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.275232817,1 +32379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.256956725,1 +32382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.433527379,1 +32381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.348035567,1 +32383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.32692308,1 +32384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.947296979,1 +32387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.06705331,1 +32386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,1.58880877,1 +32388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.311176381,1 +32390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.568372175,1 +32389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.546365962,1 +32385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.31566226,1 +32391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.746068309,1 +32393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.386316171,1 +32392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.003027714,1 +32395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.480177939,1 +32394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.756861981,1 +32398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.185196267,1 +32396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.924989116,1 +32399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.700847714,1 +32397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.796779954,1 +32400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.190625185,1 +32401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.350288281,1 +32402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.498713029,1 +32403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.974465589,1 +32404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.702201839,1 +32405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.576830189,1 +32407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.621833487,1 +32408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.72231661,1 +32409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.938320802,1 +32406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.23054712,1 +32410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.692021885,1 +32411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.59885349,1 +32412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.870861016,1 +32413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.21741124,1 +32414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,8.14196217,1 +32415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.950797365,1 +32417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.445066245,1 +32416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.553067585,1 +32419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.838252052,1 +32418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.239381887,1 +32421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.635439648,1 +32420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.636415951,1 +32422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.464841728,1 +32423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.233417936,1 +32424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.12748065,1 +32425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.73028781,1 +32426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.161684497,1 +32427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.701626002,1 +32428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.479437867,1 +32429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.75675379,1 +32430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.349347686,1 +32433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.058857356,1 +32432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.88994975,1 +32434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.545952548,1 +32431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.144160598,1 +32435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.999809902,1 +32436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.355623189,1 +32437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.106718155,1 +32439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.512063082,1 +32440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.694966779,1 +32438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.668198965,1 +32441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.786413452,1 +32443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.786952643,1 +32442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,9.341901957,1 +32444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.537400729,1 +32445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.22903613,1 +32447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.997513912,1 +32446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.840839262,1 +32449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.593357562,1 +32450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.622344547,1 +32451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.417330108,1 +32448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.786630463,1 +32452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.611750926,1 +32454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.359275438,1 +32453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.916534986,1 +32456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.962067766,1 +32457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.19971174,1 +32455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.359158236,1 +32458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.692146407,1 +32461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.754320764,1 +32459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.081834827,1 +32460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.612448909,1 +32462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.066454195,1 +32463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.842011677,1 +32464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.198131397,1 +32465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.900346077,1 +32466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.247810011,1 +32468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.883216876,1 +32469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.859404489,1 +32470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.933353969,1 +32471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.988290494,1 +32472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.536103405,1 +32467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.61877322,1 +32473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.308684573,1 +32476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.816673953,1 +32474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.595678719,1 +32475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.560403281,1 +32477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.011655693,1 +32479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.194145577,1 +32478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.172798244,1 +32480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.999103398,1 +32482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.408810878,1 +32481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.373091984,1 +32483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.211516913,1 +32484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.198711206,1 +32485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.361522438,1 +32486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.967543993,1 +32488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.542253317,1 +32490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.672199858,1 +32489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.457754617,1 +32491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.998279893,1 +32487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.668588885,1 +32492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.156584434,1 +32493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.14636334,1 +32494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.842926187,1 +32495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.480579471,1 +32497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.96189538,1 +32496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.832348482,1 +32498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.13613632,1 +32499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.356537288,1 +32500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.669501298,1 +32501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.322801433,1 +32502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.804674843,1 +32503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.81606187,1 +32504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.505333353,1 +32505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.170644044,1 +32506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.941930169,1 +32507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.468333024,1 +32508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.955916112,1 +32509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.475765251,1 +32510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.81067392,1 +32511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.060506661,1 +32512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.513838153,1 +32513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.987013115,1 +32514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.26310831,1 +32516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.596589414,1 +32515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.946310076,1 +32517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.781099387,1 +32518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.759044181,1 +32519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.023692481,1 +32521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.545566916,1 +32520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.029878916,1 +32522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.712929224,1 +32523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.161264097,1 +32524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.854524282,1 +32525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.696012154,1 +32527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.84833578,1 +32528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.295582645,1 +32529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.687104446,1 +32530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.152833987,1 +32531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.659427641,1 +32526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.900258467,1 +32532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.18402588,1 +32535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.366464613,1 +32533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.313685359,1 +32534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.139242311,1 +32537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.844692244,1 +32539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.752483363,1 +32538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.803722723,1 +32536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.631263387,1 +32542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.894888969,1 +32541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.507194942,1 +32540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.098814939,1 +32543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.197436037,1 +32544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.145745726,1 +32545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.032028149,1 +32547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.789112239,1 +32549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.673492792,1 +32546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.957965339,1 +32548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.328131326,1 +32550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.352752352,1 +32553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.666371361,1 +32552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.680382298,1 +32551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.369406486,1 +32555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,0.891510704,1 +32556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.292773148,1 +32557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.495163626,1 +32558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.854514483,1 +32559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,8.038168125,1 +32560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,8.099022559,1 +32554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.356789567,1 +32561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.244549391,1 +32563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.430451083,1 +32562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.774933865,1 +32564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.396225628,1 +32567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.265441144,1 +32566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.062120081,1 +32568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.260178767,1 +32569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.321228636,1 +32565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.055382081,1 +32570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.341819848,1 +32571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.373626916,1 +32572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.237382329,1 +32573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.566187394,1 +32574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.139373862,1 +32575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.00892448,1 +32577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.693332471,1 +32578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.972598543,1 +32580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.673144584,1 +32576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.396994965,1 +32579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.04273245,1 +32581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.290542844,1 +32583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.47403222,1 +32582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.740900518,1 +32584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.012702766,1 +32585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.685568271,1 +32586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.709810536,1 +32587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.057048263,1 +32588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.045947752,1 +32589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.777704432,1 +32590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.702433615,1 +32591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.948489929,1 +32593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.705842324,1 +32595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.229723239,1 +32592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.991361274,1 +32594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.244531159,1 +32596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.501893963,1 +32597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.585509626,1 +32598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.446925056,1 +32599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.311887767,1 +32600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.606266962,1 +32601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.54031159,1 +32602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.523959645,1 +32603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.600210173,1 +32604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,1.320736891,1 +32605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.04088386,1 +32607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.556905454,1 +32609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.71259238,1 +32608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.09657956,1 +32612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.713829519,1 +32606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.676644443,1 +32611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.601194539,1 +32610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.532093738,1 +32613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.870070794,1 +32615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.715269272,1 +32614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.640154559,1 +32616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.409201899,1 +32617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.657062455,1 +32618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.83978036,1 +32619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.137916622,1 +32620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.992381952,1 +32622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.585741333,1 +32621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.734234905,1 +32623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.557942705,1 +32624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.314743235,1 +32626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.372153218,1 +32627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.67512845,1 +32628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.499914209,1 +32629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.776853186,1 +32625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.946131599,1 +32631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.255438532,1 +32632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.428040321,1 +32633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.805459062,1 +32630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.077365819,1 +32634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.122362903,1 +32636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.724241317,1 +32635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.05752801,1 +32638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.93455743,1 +32640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.605982168,1 +32637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.436349061,1 +32639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.09841778,1 +32643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.026952993,1 +32641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.236345913,1 +32642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.210598462,1 +32644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.833289804,1 +32645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.51240889,1 +32646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.682509746,1 +32647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.210093898,1 +32648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.257942837,1 +32650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.649529307,1 +32651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.494261714,1 +32652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.467507228,1 +32653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.492522137,1 +32654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.746223515,1 +32649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.589071485,1 +32655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.892537029,1 +32656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.418890987,1 +32658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.11721811,1 +32657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.476664272,1 +32659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.851823422,1 +32660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.571267297,1 +32661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.190009463,1 +32663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.718415422,1 +32664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.517128631,1 +32665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.501656609,1 +32662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.051933217,1 +32666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.46004808,1 +32667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,8.735938141,1 +32669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.657412791,1 +32670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.74635781,1 +32671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.919088587,1 +32668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.516046221,1 +32672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.177144533,1 +32675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.852895164,1 +32673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.120349845,1 +32674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.832624696,1 +32678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.83116055,1 +32677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.077645375,1 +32679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.589023246,1 +32680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.048182959,1 +32681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.843007267,1 +32676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.375042205,1 +32682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.465995966,1 +32684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.466966393,1 +32683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.818461985,1 +32685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.762249197,1 +32686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.990804457,1 +32689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.396211102,1 +32688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.975488319,1 +32687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.884385134,1 +32691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.598536323,1 +32690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.564922498,1 +32693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.469291802,1 +32692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.217195935,1 +32695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.896280435,1 +32696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.919773535,1 +32697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.539559775,1 +32698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.941089051,1 +32694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.002524123,1 +32699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.965288913,1 +32700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.495398807,1 +32701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.538213087,1 +32704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.535644361,1 +32702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.310933505,1 +32703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.889523127,1 +32705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.506741172,1 +32707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.571612276,1 +32706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.574311331,1 +32708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.995049011,1 +32709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.512058485,1 +32710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.713789791,1 +32711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.733949861,1 +32712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.669627469,1 +32713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.493024249,1 +32715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.144157249,1 +32716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.270260389,1 +32717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.460888404,1 +32714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.775007653,1 +32718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.010516028,1 +32719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.92786157,1 +32720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.500358995,1 +32721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.885543671,1 +32722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.879602633,1 +32723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.896110875,1 +32724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.939636411,1 +32725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.746940274,1 +32726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.099228551,1 +32727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.367655658,1 +32728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.509145096,1 +32730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.33417269,1 +32731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.405838298,1 +32732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.449997629,1 +32729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.87119748,1 +32733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.773689779,1 +32734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.891285378,1 +32735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.065248039,1 +32736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.06988785,1 +32737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.467815719,1 +32738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.429616017,1 +32739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.747943794,1 +32740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.553483525,1 +32741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.808121249,1 +32742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.374058818,1 +32743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.617707507,1 +32745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.176238598,1 +32744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.677854934,1 +32746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.5657807,1 +32748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.322784204,1 +32747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.093116425,1 +32750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.363439848,1 +32751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.590830523,1 +32749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.09182026,1 +32752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.831424308,1 +32753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.225067363,1 +32756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.729619346,1 +32755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.290712997,1 +32754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.022413035,1 +32757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.076178241,1 +32758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.246673831,1 +32759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.050412086,1 +32761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.670942503,1 +32760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.399685242,1 +32762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.79634505,1 +32763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.089791486,1 +32765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.320341764,1 +32764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.182501347,1 +32767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.530522441,1 +32766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,1.279450181,1 +32769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.15123465,1 +32770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.364777802,1 +32771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.455014586,1 +32772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.264047951,1 +32774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.092627428,1 +32773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.828244939,1 +32768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.806954695,1 +32775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.759754503,1 +32776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.061546474,1 +32777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.552991926,1 +32779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.271227704,1 +32778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.884987293,1 +32780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.061350921,1 +32781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.071036218,1 +32782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,1.822680758,1 +32783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.919863905,1 +32784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.312791321,1 +32785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.632370548,1 +32787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.618040166,1 +32786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.610498295,1 +32788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.098093845,1 +32789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.570072208,1 +32791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.138000692,1 +32792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.436652551,1 +32793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,1.512348233,1 +32794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,1.844732103,1 +32795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,8.230464183,1 +32790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.636175341,1 +32796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.22982698,1 +32797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.583440369,1 +32798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.060070262,1 +32799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.272209758,1 +32800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.651123334,1 +32801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.603528052,1 +32802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.677389793,1 +32803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.352967881,1 +32805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.411365892,1 +32804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.228453807,1 +32806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.261262087,1 +32808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.331070947,1 +32809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,1.952666335,1 +32810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.728194742,1 +32812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.566667668,1 +32807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.067806249,1 +32811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.286724425,1 +32813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.457915295,1 +32814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.768200272,1 +32816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.836425438,1 +32815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.628418943,1 +32817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.017388813,1 +32818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.38167649,1 +32819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.185365612,1 +32820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.427347086,1 +32821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.659111601,1 +32822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.998910378,1 +32823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.202068346,1 +32824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.391734764,1 +32825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.73500517,1 +32826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.215258137,1 +32827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.227669947,1 +32829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.556046471,1 +32828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.738192667,1 +32830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.038558036,1 +32831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.699049596,1 +32832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.356146061,1 +32833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.507522647,1 +32834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.304343651,1 +32835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.675186186,1 +32836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.850028965,1 +32838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.987797913,1 +32837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.101495146,1 +32840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.957850918,1 +32839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.869614174,1 +32841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.378005371,1 +32842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.663459268,1 +32843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.904526421,1 +32844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.159986264,1 +32845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.262826104,1 +32846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.986659582,1 +32847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.969287916,1 +32848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.867747049,1 +32849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.635422855,1 +32851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.292974159,1 +32852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.226855728,1 +32853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.984653538,1 +32855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.572107075,1 +32854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.049301616,1 +32850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.204359518,1 +32856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.484394626,1 +32857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.12798097,1 +32859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.54625059,1 +32858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.610516378,1 +32860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.744188486,1 +32861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.011738185,1 +32862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.091513737,1 +32863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.523366543,1 +32864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.389675372,1 +32865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.502790498,1 +32867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.782755733,1 +32869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.467966189,1 +32868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.584725419,1 +32870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.698455873,1 +32871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.279402825,1 +32872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.255064743,1 +32866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.372458552,1 +32873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.285968035,1 +32875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.064187734,1 +32876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.20473903,1 +32874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.231200249,1 +32877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.75391205,1 +32878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.752439636,1 +32879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.438297338,1 +32880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.658107998,1 +32881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.478466048,1 +32882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.642732849,1 +32884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.843653234,1 +32885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.123091407,1 +32886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.855684111,1 +32887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,1.943797975,1 +32888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.551039166,1 +32883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.637906708,1 +32889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.683829466,1 +32891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.803604665,1 +32890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.646585721,1 +32893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.45785816,1 +32892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.308869734,1 +32895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.085908555,1 +32894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.213930105,1 +32896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.159495481,1 +32897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.682901639,1 +32898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.503113407,1 +32899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.645978068,1 +32900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.816536023,1 +32901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.517133732,1 +32902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.414854142,1 +32905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.511971977,1 +32904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.094406871,1 +32906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.291504729,1 +32903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.926971988,1 +32908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.542671195,1 +32909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.705248277,1 +32910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.481461284,1 +32911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.322662125,1 +32907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.08866261,1 +32912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.776993086,1 +32913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.830406047,1 +32914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.69015725,1 +32916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.858888948,1 +32915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.43974181,1 +32917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.756227857,1 +32918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.930360201,1 +32920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.918185464,1 +32919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,8.026209849,1 +32922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.021899801,1 +32921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.626785787,1 +32923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.685689115,1 +32924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.655710506,1 +32925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.445479923,1 +32926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.482040699,1 +32928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.937604754,1 +32929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.158326512,1 +32930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.876871485,1 +32931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.31221514,1 +32932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.260381521,1 +32927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.716942901,1 +32934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.047865493,1 +32936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.143936457,1 +32935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.307830393,1 +32933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.135294593,1 +32938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.766947857,1 +32937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.839298538,1 +32940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.959290034,1 +32939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.635352958,1 +32942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.36899296,1 +32941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.795035691,1 +32943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.993538607,1 +32944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.625281665,1 +32945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.162506228,1 +32947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.647552815,1 +32948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.504810014,1 +32949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.947814187,1 +32946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.780002121,1 +32953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.470400771,1 +32950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.92135218,1 +32951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.270473052,1 +32952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.261396605,1 +32954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.471553881,1 +32955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.843785043,1 +32956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.69110549,1 +32957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.771427498,1 +32958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.531212427,1 +32959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.796101412,1 +32960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.396776092,1 +32961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.418447066,1 +32963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.35157366,1 +32965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.095341563,1 +32964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,0.569983504,1 +32962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.15019788,1 +32967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.383218897,1 +32966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.974016129,1 +32968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.84597941,1 +32969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.094308264,1 +32970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.957303623,1 +32971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.020691961,1 +32972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.852745687,1 +32973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.356308866,1 +32975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.832557535,1 +32974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.037945876,1 +32976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.817236645,1 +32977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.777738341,1 +32979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.782639195,1 +32978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.527924478,1 +32981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,7.236511768,1 +32982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.630446588,1 +32983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.530816633,1 +32980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,8.260695511,1 +32985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,8.089200677,1 +32984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.367243993,1 +32986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.462197849,1 +32988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.675402302,1 +32989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.208690793,1 +32987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.33622987,1 +32990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,3.402308786,1 +32991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,2.939721716,1 +32992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.790710442,1 +32994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.267936754,1 +32993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.086562079,1 +32995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,6.155313644,1 +32996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.88973746,1 +32997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,5.272259211,1 +32998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.68790219,1 +32999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,4.057887354,1 +33000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,3,1,1.871966809,1 +42002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.370983883,1 +42003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.757012388,1 +42001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.134194305,1 +42006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.209034751,1 +42004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.983775941,1 +42005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.569911821,1 +42007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.921353208,1 +42008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.655667102,1 +42009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.615020923,1 +42011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.032643043,1 +42012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.623186605,1 +42010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.399219838,1 +42013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.767741754,1 +42014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.896842439,1 +42017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.310712513,1 +42016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.50368154,1 +42015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.085258858,1 +42020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.689515043,1 +42018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.545636108,1 +42021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.012922007,1 +42019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.644237402,1 +42024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.769218875,1 +42023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.791921856,1 +42025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.068564064,1 +42026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.303289659,1 +42022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.807500911,1 +42027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.926383405,1 +42028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,8.164313223,1 +42029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,7.527452257,1 +42031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.789809262,1 +42030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.329895491,1 +42032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.79590006,1 +42035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.770146735,1 +42036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.992542735,1 +42034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.664079895,1 +42033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.887090588,1 +42037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.996262411,1 +42040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.762214554,1 +42039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.961928746,1 +42042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.838689345,1 +42038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.717866258,1 +42043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.610324729,1 +42041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.055516084,1 +42044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.772799358,1 +42045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.951607624,1 +42046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.95241897,1 +42049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,7.620030551,1 +42047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,1.479742867,1 +42048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.462841983,1 +42050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.502510162,1 +42051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.614155455,1 +42052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.766089976,1 +42053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.572190172,1 +42054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.331456404,1 +42056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.399165005,1 +42057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.499900529,1 +42055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.13335891,1 +42058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.208251045,1 +42060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.414322526,1 +42061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.732025383,1 +42059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.184213893,1 +42062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.461707275,1 +42063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.508152187,1 +42065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.264750065,1 +42064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.662281167,1 +42066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.746883812,1 +42069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.501306466,1 +42067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.236300135,1 +42068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.678463005,1 +42070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.329682603,1 +42071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.243388921,1 +42073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.472269469,1 +42072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.160445935,1 +42075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.227501265,1 +42076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.16688529,1 +42074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.012686531,1 +42077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.542473599,1 +42078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,7.323566922,1 +42080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.629803955,1 +42079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.648112975,1 +42081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.672679654,1 +42082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.831563529,1 +42084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.122107111,1 +42083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.597329074,1 +42085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.717883529,1 +42086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.00415149,1 +42087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.371891464,1 +42088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.396411132,1 +42090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.367425388,1 +42091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.492642603,1 +42092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.077369837,1 +42089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.513991672,1 +42093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.109875304,1 +42094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.668823541,1 +42096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.698624493,1 +42095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.336618459,1 +42097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.644297782,1 +42098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.328443401,1 +42100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.622933882,1 +42099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.558371213,1 +42102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.717276655,1 +42101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.819349262,1 +42104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.765349453,1 +42103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.527134731,1 +42105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.902163719,1 +42106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.426493067,1 +42108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.508294646,1 +42110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.600888755,1 +42107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.360988853,1 +42109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.838206548,1 +42111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,8.676491021,1 +42113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.465731193,1 +42114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.4543156,1 +42115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.268738424,1 +42116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.336597678,1 +42117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.715662251,1 +42112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.101726523,1 +42120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.383669054,1 +42119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.993725689,1 +42118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.428035107,1 +42122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.753402858,1 +42121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.366604738,1 +42124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,1.863825381,1 +42123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.396430436,1 +42126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.520390272,1 +42125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.95772908,1 +42127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.687655495,1 +42128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.024853288,1 +42129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.566301586,1 +42130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.589560353,1 +42132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.041043684,1 +42131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.964359863,1 +42134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.669672198,1 +42135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.171038358,1 +42136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.623902884,1 +42137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.786521009,1 +42133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.71901799,1 +42138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.443883264,1 +42141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.703131996,1 +42139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.996875466,1 +42140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.637504217,1 +42142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.069306883,1 +42143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.835964068,1 +42145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.186129632,1 +42144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,0.958658713,1 +42146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.15842929,1 +42148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.940513999,1 +42147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.828874454,1 +42149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.933574948,1 +42151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.568181466,1 +42150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.386749097,1 +42153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,9.294339678,1 +42155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,7.244879794,1 +42152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.563497403,1 +42154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,8.823908528,1 +42156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.282390318,1 +42158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,7.036797471,1 +42157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.291538149,1 +42159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.300381429,1 +42160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.667018038,1 +42162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.366218289,1 +42161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.494144983,1 +42163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.54605252,1 +42164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.150615679,1 +42165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.894131123,1 +42166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.521827843,1 +42167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.901384543,1 +42169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.856435974,1 +42170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.875055225,1 +42168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.444257113,1 +42171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.061771281,1 +42172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.738958462,1 +42174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.595874407,1 +42175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.31274025,1 +42176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.655797977,1 +42177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.086790628,1 +42178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.937469835,1 +42173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.145324893,1 +42179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.674580945,1 +42180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.579805255,1 +42181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.266554841,1 +42183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.39750233,1 +42182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.536691039,1 +42184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.087275567,1 +42187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.98648636,1 +42185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.341317177,1 +42186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.623515636,1 +42188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.727788961,1 +42189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.36063362,1 +42190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.304304479,1 +42191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.233608789,1 +42192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,7.764988005,1 +42194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.312028365,1 +42195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.708488794,1 +42196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.304915511,1 +42197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.666802769,1 +42198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.958240059,1 +42199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.460044064,1 +42200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.501809336,1 +42193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.437215629,1 +42201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.621515974,1 +42204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.782717239,1 +42202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.002913496,1 +42203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.0101376,1 +42205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.592606878,1 +42207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.505242068,1 +42206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,1.717536612,1 +42208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.010374105,1 +42209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.781497349,1 +42210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.14323294,1 +42211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.670098963,1 +42212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.136770756,1 +42213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.465760439,1 +42214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.813917734,1 +42216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.947210112,1 +42215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.366971439,1 +42217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.119447878,1 +42219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.936939028,1 +42218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.082922916,1 +42221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.561714146,1 +42220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.071645904,1 +42223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.603532451,1 +42222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.548775871,1 +42224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.543412119,1 +42225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.681526595,1 +42226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,1.728716814,1 +42227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.015109548,1 +42228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.361196473,1 +42230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.677612009,1 +42231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.190540008,1 +42229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.834469946,1 +42234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.121279179,1 +42232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.12743686,1 +42233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.590546325,1 +42235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.318718462,1 +42236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.8567382,1 +42237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,8.136410669,1 +42238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.651500956,1 +42240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.90766333,1 +42241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.453931516,1 +42242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.708773764,1 +42239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.896232748,1 +42243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,7.137039312,1 +42244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.669878095,1 +42245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.373733242,1 +42246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.013542649,1 +42247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.404328608,1 +42248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.845785581,1 +42249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.375720144,1 +42251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.365548728,1 +42252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.014871013,1 +42250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.730711421,1 +42254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.611808187,1 +42255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.935811564,1 +42253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.513141622,1 +42256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.913352205,1 +42257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.723763422,1 +42259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.94090596,1 +42258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.716139029,1 +42262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.151109015,1 +42261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.772156456,1 +42260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.906383716,1 +42263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.435976924,1 +42264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.720807017,1 +42265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.645698261,1 +42266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.420571171,1 +42267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.552118966,1 +42268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.03667526,1 +42269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.667315331,1 +42271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.553997832,1 +42273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,7.859894372,1 +42272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.05486827,1 +42270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.549567865,1 +42274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.185416817,1 +42275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,1.837040838,1 +42276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.900246366,1 +42280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.656213171,1 +42277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.40156566,1 +42278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.309682662,1 +42279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.756337375,1 +42282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.621480513,1 +42281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.174748328,1 +42283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.585275932,1 +42284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.130107193,1 +42286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.115144599,1 +42287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.234126993,1 +42288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.521588756,1 +42285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.64317514,1 +42290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,8.488358171,1 +42289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.079281084,1 +42291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.403069575,1 +42294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.84343539,1 +42293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.802075136,1 +42295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.923964336,1 +42292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.495668387,1 +42297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.143102905,1 +42296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.840747685,1 +42298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.06780827,1 +42299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.99212018,1 +42300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,7.1459404,1 +42302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.311823295,1 +42301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,1.70120916,1 +42303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.200437777,1 +42304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.993090611,1 +42305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.841815988,1 +42306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.31718736,1 +42307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.473343216,1 +42308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,7.353111213,1 +42310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,7.135850057,1 +42309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.446955155,1 +42312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.365940305,1 +42314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.852655199,1 +42311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.911956614,1 +42315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.553049714,1 +42316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.890916304,1 +42313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.755035316,1 +42317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.436278392,1 +42318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.505919031,1 +42319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.978816551,1 +42322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.877847044,1 +42320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.255528015,1 +42321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,7.514316363,1 +42323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.151972438,1 +42325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.593897351,1 +42324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.507101207,1 +42327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.476161824,1 +42328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.027687252,1 +42329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.915566701,1 +42326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.775392178,1 +42331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.765911985,1 +42332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.077684267,1 +42330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.115513889,1 +42333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.457661074,1 +42334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.938639973,1 +42335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.467899555,1 +42337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.524078759,1 +42338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.584204487,1 +42336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.865014945,1 +42339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.880508903,1 +42340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.680715455,1 +42342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.33386206,1 +42341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.534235131,1 +42343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.815056524,1 +42345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.658440664,1 +42346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.180623419,1 +42344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.999979962,1 +42347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.957643213,1 +42348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.39955221,1 +42349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.823939573,1 +42351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.074736407,1 +42350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.136068344,1 +42353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.463680923,1 +42352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.924848894,1 +42357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.492467457,1 +42356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.94316048,1 +42355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.243794663,1 +42354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.736913671,1 +42358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,7.152626513,1 +42359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.404858525,1 +42361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.529271312,1 +42360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.328605583,1 +42362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.036153071,1 +42363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.452756471,1 +42364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.509955769,1 +42365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.929202496,1 +42367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.864610027,1 +42368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.441728073,1 +42370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.868494825,1 +42366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.569850608,1 +42371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.728918105,1 +42369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.549911583,1 +42373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.255084088,1 +42372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.277233185,1 +42375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.383890267,1 +42374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.843176504,1 +42376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.716519588,1 +42377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.428566522,1 +42378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.476946752,1 +42379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.173316474,1 +42380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,10.25420534,1 +42381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.450825777,1 +42383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.637958918,1 +42384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.238831841,1 +42385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.262460902,1 +42382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.282502556,1 +42386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.089368548,1 +42388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,8.279677509,1 +42389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.400734291,1 +42387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,1.686671801,1 +42390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.219695507,1 +42391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.781568197,1 +42393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.783599578,1 +42392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.811354141,1 +42394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.580379339,1 +42395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.218398056,1 +42396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.129345797,1 +42398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.289538152,1 +42397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.893241173,1 +42399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.065441073,1 +42400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.36354282,1 +42401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.552548616,1 +42402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.825388701,1 +42404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.640217002,1 +42405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.392835479,1 +42403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.234997033,1 +42406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,7.084628399,1 +42407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.163901666,1 +42408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.031128988,1 +42410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.809822256,1 +42411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.679089552,1 +42409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.898378761,1 +42412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.972453615,1 +42414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.729886291,1 +42416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.059513561,1 +42413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.891085369,1 +42415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.342533415,1 +42417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.247667976,1 +42420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.702950727,1 +42418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.583425568,1 +42419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.242788621,1 +42421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.549753801,1 +42422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.281281729,1 +42423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.761968708,1 +42424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.307977418,1 +42425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.471896176,1 +42427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.606256343,1 +42428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.703355879,1 +42429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.411330023,1 +42430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.593637952,1 +42426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.47464221,1 +42431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.172874061,1 +42434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.877062802,1 +42432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.327186824,1 +42433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.144993133,1 +42435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.999849075,1 +42436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.926960573,1 +42437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.860800283,1 +42438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,7.087987647,1 +42439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.240023806,1 +42441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.857300145,1 +42440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.600841321,1 +42442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.898902189,1 +42443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.383313937,1 +42445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.396316633,1 +42446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.165930341,1 +42444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.124854215,1 +42447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.327856072,1 +42448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.35792688,1 +42449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.862411227,1 +42450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.077677755,1 +42451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.808741204,1 +42453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.862159924,1 +42452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.684010345,1 +42454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.894255213,1 +42457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.782510203,1 +42456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.292083249,1 +42455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.977392595,1 +42458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.801350071,1 +42460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.273045183,1 +42459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.659377225,1 +42461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.373956267,1 +42463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.048186541,1 +42464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.984602878,1 +42462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.701280928,1 +42465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.017413208,1 +42467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.629205154,1 +42468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.630086427,1 +42466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.375457946,1 +42470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.485384666,1 +42471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,1.933327703,1 +42469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.267713282,1 +42473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.435088695,1 +42474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.257021426,1 +42472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.122107107,1 +42475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.219209636,1 +42476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,7.990127119,1 +42478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.518161824,1 +42479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.67941093,1 +42477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.949983373,1 +42481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.679613279,1 +42480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.520118126,1 +42483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.059370157,1 +42482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.159036655,1 +42485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.529131128,1 +42486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.439472783,1 +42484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.928939032,1 +42489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.549055772,1 +42487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,7.494878009,1 +42488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.521649914,1 +42493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.733821247,1 +42490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.169999164,1 +42492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.038382602,1 +42491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.684446939,1 +42495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.405043065,1 +42496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.469337802,1 +42497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.477466216,1 +42494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.849401485,1 +42498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.692988916,1 +42500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.442761897,1 +42501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.562523908,1 +42499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.459271326,1 +42503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.924480549,1 +42504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.33552037,1 +42502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.183550151,1 +42505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.562999135,1 +42506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.574581015,1 +42507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.219859372,1 +42508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.47822977,1 +42509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.557646261,1 +42510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.017300382,1 +42512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.597613534,1 +42511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.984126282,1 +42513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.102922736,1 +42515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.318001975,1 +42514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.674792751,1 +42516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.773194626,1 +42520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.102824843,1 +42519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.443791509,1 +42518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.323769399,1 +42517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.250488434,1 +42522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.619362049,1 +42521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.441427179,1 +42524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.2077043,1 +42523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.735168352,1 +42526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.939945764,1 +42525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.129219201,1 +42527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.502697045,1 +42528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.930992673,1 +42530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.616379189,1 +42529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.621663304,1 +42531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.290149765,1 +42532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.056965016,1 +42533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.048035181,1 +42534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,7.289570089,1 +42536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.505989139,1 +42537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.506051299,1 +42538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.11602867,1 +42535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.59672606,1 +42541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.520721036,1 +42539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.614962871,1 +42542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.793978274,1 +42540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.64766385,1 +42543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.314807589,1 +42544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.949693664,1 +42546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.165266911,1 +42545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.235522682,1 +42548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.400229562,1 +42549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.460518449,1 +42547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,7.477056096,1 +42550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.412073909,1 +42551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.521390924,1 +42552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.184166144,1 +42553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.699886943,1 +42556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.346003983,1 +42557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.95765403,1 +42555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.028777278,1 +42554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.345660212,1 +42559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.53533634,1 +42558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.515839225,1 +42560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.103218984,1 +42561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.237589902,1 +42563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.045336224,1 +42562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.108964351,1 +42565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.205389214,1 +42566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.906283558,1 +42564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.050553645,1 +42567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.283562425,1 +42568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.70496503,1 +42569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.530541154,1 +42570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.704902884,1 +42571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.821401846,1 +42574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.281717556,1 +42572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.164773937,1 +42575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,7.212227978,1 +42576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.813436382,1 +42573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.908212869,1 +42577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.634796773,1 +42578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.86233121,1 +42579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.870355001,1 +42581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.726207506,1 +42582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.281931777,1 +42580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.350425713,1 +42583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.318716954,1 +42584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.724573716,1 +42585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,7.175547439,1 +42586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.194507273,1 +42587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.756053095,1 +42590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.429721745,1 +42589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.80261683,1 +42588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.764281412,1 +42591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.987910792,1 +42593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.874067811,1 +42594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.732847962,1 +42595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.791046301,1 +42596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.116602651,1 +42592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.570366124,1 +42597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.425515792,1 +42598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.121248218,1 +42599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.927104664,1 +42600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.328184199,1 +42602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.904647602,1 +42603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.007462537,1 +42601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.72437915,1 +42604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.772952022,1 +42605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.23737429,1 +42606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.974177406,1 +42607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.766382259,1 +42608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.226278599,1 +42609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.923366468,1 +42610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.399425297,1 +42611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.70125699,1 +42613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.34208695,1 +42614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.789574964,1 +42612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.438165933,1 +42615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.176807009,1 +42616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,1.646680748,1 +42617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.077588635,1 +42618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.70513396,1 +42620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.597320338,1 +42619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.211511637,1 +42621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.250846329,1 +42622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.584825187,1 +42623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.61905309,1 +42624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.942914176,1 +42625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.707994699,1 +42626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.837541999,1 +42627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.112232552,1 +42628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.456820771,1 +42629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.425774479,1 +42630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.00414116,1 +42631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.798311218,1 +42632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.439409776,1 +42634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.291472802,1 +42633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.955440821,1 +42635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,8.289734144,1 +42637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.809315289,1 +42638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.218018895,1 +42639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.649805675,1 +42636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.415737533,1 +42640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.124566732,1 +42641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.102516774,1 +42642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.887778402,1 +42644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.947257442,1 +42645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.521687555,1 +42646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.150822837,1 +42648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.211324417,1 +42643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.894039933,1 +42647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.47435181,1 +42649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.168202962,1 +42651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.898167129,1 +42652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.406857205,1 +42650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.517137424,1 +42653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.534256483,1 +42654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.511778249,1 +42655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.519814807,1 +42656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.437904005,1 +42657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,7.478676702,1 +42659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.555022879,1 +42660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.16563449,1 +42661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.006808841,1 +42663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.837639118,1 +42658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.636509425,1 +42664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,7.450684844,1 +42662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.180872224,1 +42666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.444792287,1 +42665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.897092868,1 +42667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.606658525,1 +42668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.000314358,1 +42669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.32746837,1 +42670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.113466433,1 +42671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.700308764,1 +42672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.320136922,1 +42674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.460083935,1 +42675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.697229403,1 +42676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.443271649,1 +42677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.065804118,1 +42678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.842968126,1 +42679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,8.761763434,1 +42673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.169963296,1 +42680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.438842495,1 +42682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.338712305,1 +42681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.6899038,1 +42683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.326310441,1 +42684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.084731161,1 +42686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.86040702,1 +42685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.203608626,1 +42687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.459693236,1 +42688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.544799875,1 +42690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.421128378,1 +42689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,7.034356337,1 +42691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.076330803,1 +42692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.64257727,1 +42693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.862445365,1 +42694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.915950047,1 +42696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.877764279,1 +42695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.520054616,1 +42697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.964809689,1 +42698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.362043502,1 +42701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.720890455,1 +42700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.340895494,1 +42699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.219265791,1 +42702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.732563407,1 +42703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.408010369,1 +42705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,7.13294199,1 +42706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.158371332,1 +42707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.606800489,1 +42708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.346092632,1 +42704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.574494757,1 +42709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.756485378,1 +42711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.481879343,1 +42712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.343254031,1 +42710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.148345917,1 +42713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,7.102465286,1 +42714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.698462943,1 +42716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.23173837,1 +42717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.9177422,1 +42715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.587483186,1 +42718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.713486897,1 +42719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.28474248,1 +42720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.393177284,1 +42722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.967047201,1 +42723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.109856357,1 +42724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.043780335,1 +42721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.831503556,1 +42725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.158659941,1 +42726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.113365103,1 +42727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.990145712,1 +42728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.210008999,1 +42729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.036458221,1 +42730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.277357196,1 +42731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.890043705,1 +42733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.606098912,1 +42734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.29067356,1 +42735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.940206567,1 +42732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,7.769374789,1 +42736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.489517782,1 +42737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.987315786,1 +42738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.606649986,1 +42739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.756976441,1 +42740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.231643165,1 +42741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.290299897,1 +42742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.618845013,1 +42743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.262750833,1 +42744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,7.827368031,1 +42746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.549963827,1 +42745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.967577311,1 +42747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.864492843,1 +42748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.85854225,1 +42749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.571787672,1 +42750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.585041371,1 +42752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.464285837,1 +42753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.158651875,1 +42754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.391391061,1 +42755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.206744181,1 +42756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.988111151,1 +42751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.458881522,1 +42757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,1.836678124,1 +42758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,8.259416677,1 +42760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.918012991,1 +42761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.625643616,1 +42759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.843611657,1 +42762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.966966088,1 +42764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.59084628,1 +42765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.910982235,1 +42763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.044392657,1 +42766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.837582171,1 +42767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.582954202,1 +42768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.808282981,1 +42769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.271760633,1 +42770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.986193811,1 +42771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.780678241,1 +42772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.746072299,1 +42774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.423534883,1 +42775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.734156571,1 +42773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,7.958104856,1 +42776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.627717717,1 +42777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.967809836,1 +42778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.24558509,1 +42780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.625336454,1 +42782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.137453587,1 +42781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.638364068,1 +42779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.43695929,1 +42785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.87373065,1 +42784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.302946376,1 +42783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.858365982,1 +42786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.259030127,1 +42789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.020196284,1 +42788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.53880435,1 +42787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,7.363373677,1 +42790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.837176757,1 +42792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.509984941,1 +42793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.668403976,1 +42791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.27214835,1 +42795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.180715869,1 +42796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.733325722,1 +42797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.879150759,1 +42794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.269635401,1 +42798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.505620582,1 +42799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.055955432,1 +42800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,7.125035688,1 +42803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.217423777,1 +42802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.469607832,1 +42801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.199949687,1 +42804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.217151102,1 +42806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.544709643,1 +42807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.048604544,1 +42805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.844117392,1 +42809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.516721413,1 +42808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.274015031,1 +42810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.580347106,1 +42811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.269240084,1 +42812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.434648909,1 +42815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.477443729,1 +42813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.159953189,1 +42816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.751021819,1 +42818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.291624007,1 +42817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.548624885,1 +42814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.253227029,1 +42820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.791930681,1 +42822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.221151544,1 +42821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.495988428,1 +42819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.692154308,1 +42823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.531119313,1 +42824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.85488528,1 +42825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.839699729,1 +42826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.63477773,1 +42829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.035397522,1 +42830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.059152337,1 +42827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.738571614,1 +42832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.545572217,1 +42831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.86663791,1 +42828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.369822652,1 +42833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.570854541,1 +42834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.760045309,1 +42837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.948357975,1 +42835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.292991931,1 +42836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.554816771,1 +42839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.825450263,1 +42838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.018394568,1 +42840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.883742124,1 +42841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.55759508,1 +42843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.580010817,1 +42845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.09922997,1 +42844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.858469695,1 +42846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.321318966,1 +42842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.625826388,1 +42848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.470426987,1 +42850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.560047687,1 +42847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.836437013,1 +42851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.95096811,1 +42849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.419833881,1 +42852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.703613647,1 +42853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.043671877,1 +42854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,7.268668147,1 +42855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.494100452,1 +42856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,7.181666714,1 +42857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.221067822,1 +42859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.000838552,1 +42858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,0.529151926,1 +42860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.211310772,1 +42861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.590786137,1 +42862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.232314773,1 +42863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.104545838,1 +42866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.499329872,1 +42864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.264786368,1 +42867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.660115109,1 +42865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.075353884,1 +42868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.3375009,1 +42869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.5374642,1 +42870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,1.662535052,1 +42871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.652517618,1 +42872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.901389133,1 +42873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.703528394,1 +42874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.459290055,1 +42876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.617443536,1 +42875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.441807466,1 +42877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.667169715,1 +42878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.510849973,1 +42879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.280921188,1 +42880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.803371915,1 +42882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.091747223,1 +42881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.816431109,1 +42884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.273812896,1 +42883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.06130203,1 +42885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.91659779,1 +42886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.142406159,1 +42887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.413018523,1 +42888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.366031957,1 +42890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.174199343,1 +42889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.553964021,1 +42891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.340784702,1 +42892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.820292768,1 +42893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.264078448,1 +42894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.90173825,1 +42897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.98144248,1 +42898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.037937696,1 +42896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.054575351,1 +42899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.002868808,1 +42895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.135584967,1 +42900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.458355237,1 +42901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.011900675,1 +42904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.554321571,1 +42903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.5955056,1 +42902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.087503634,1 +42905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.753360934,1 +42906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.171260093,1 +42907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.466462148,1 +42908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.819900193,1 +42910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.544138219,1 +42909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.66191347,1 +42912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.22945632,1 +42911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.595371088,1 +42913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.884574114,1 +42914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.711335432,1 +42915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.344063867,1 +42917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.418500096,1 +42918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.008489361,1 +42916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.674474554,1 +42919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.90887978,1 +42920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.877345353,1 +42921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.91382086,1 +42923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.772837887,1 +42924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.438378815,1 +42925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.732405581,1 +42922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.843370035,1 +42926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.01811252,1 +42928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.980049459,1 +42927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.931090501,1 +42929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.337744632,1 +42931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,7.733043804,1 +42930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.047763437,1 +42932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.473333325,1 +42933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.65453875,1 +42934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.395731292,1 +42936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.079563309,1 +42935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,1.419800783,1 +42938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.213357388,1 +42940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.422548,1 +42939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.250505299,1 +42941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.725337017,1 +42937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.624215919,1 +42942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.459675825,1 +42945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.660775497,1 +42943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.45498354,1 +42944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.759036745,1 +42947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.034780986,1 +42948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.022437844,1 +42946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.896895641,1 +42949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.249187335,1 +42951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.918946713,1 +42952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.818194408,1 +42953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.173725568,1 +42954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.032372228,1 +42955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.536073328,1 +42956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.715472563,1 +42950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.072182107,1 +42958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.711634146,1 +42957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.217652999,1 +42959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.58941339,1 +42960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.535787643,1 +42961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.775750935,1 +42962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,2.547577648,1 +42963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.417515237,1 +42964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.133715261,1 +42966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.799938606,1 +42967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.715624371,1 +42968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.897830105,1 +42969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.341178214,1 +42970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.892820085,1 +42965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.455281925,1 +42972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.972875257,1 +42973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.130721259,1 +42974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.493427498,1 +42971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.451892258,1 +42975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.285343155,1 +42976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.044566265,1 +42977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.680289857,1 +42980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.87389355,1 +42979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.32755962,1 +42978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.999904505,1 +42981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.648189082,1 +42983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.017248727,1 +42984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.38949797,1 +42985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.111251331,1 +42986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.073169496,1 +42982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.997057932,1 +42987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.834715849,1 +42988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.918393297,1 +42990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.090425481,1 +42989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.425357995,1 +42992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.054748013,1 +42991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,5.517097344,1 +42993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.147511288,1 +42994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.683539352,1 +42996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.924306647,1 +42995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,6.463874585,1 +42997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.856011252,1 +42998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.746196016,1 +42999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,3.824207727,1 +43000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,3,1,4.186178526,1 +52001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.721039944,1 +52002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,8.851026312,1 +52004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.278560946,1 +52005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.291800655,1 +52003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.37833438,1 +52006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.308561342,1 +52007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.626232051,1 +52009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.272680378,1 +52008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.610926754,1 +52011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,1.534019009,1 +52010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.745204573,1 +52012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,1.809391207,1 +52013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.604078365,1 +52014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.850130751,1 +52015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.805566393,1 +52017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.380470613,1 +52018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.088758174,1 +52019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.379598126,1 +52020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.911194234,1 +52016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.980710744,1 +52021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.40180128,1 +52022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.879667638,1 +52023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.420174424,1 +52024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.828587614,1 +52025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.953329236,1 +52026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.417864316,1 +52027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,7.690351715,1 +52029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.07903504,1 +52028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.130293795,1 +52031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.868968465,1 +52030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.906895801,1 +52032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.015271746,1 +52033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.271920012,1 +52034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.805648003,1 +52035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.945134004,1 +52036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.008474228,1 +52038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.323048157,1 +52039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.8737103,1 +52037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.396638861,1 +52042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.939119732,1 +52041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.203595793,1 +52040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,7.774901881,1 +52043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.434309893,1 +52045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.780564098,1 +52044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.632299878,1 +52046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.958055506,1 +52047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.652309458,1 +52049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.286507707,1 +52048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.225804347,1 +52050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.73949146,1 +52051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.989882907,1 +52053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.051058946,1 +52052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.734540508,1 +52054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.237027521,1 +52057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.210508065,1 +52056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.787219359,1 +52058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.397660864,1 +52059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.199048003,1 +52055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.72525115,1 +52060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.804617447,1 +52061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.828122217,1 +52062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.675653808,1 +52064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.276621753,1 +52063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.943214924,1 +52065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.198604901,1 +52066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.369262598,1 +52067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.313386645,1 +52068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.989837986,1 +52069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.731979228,1 +52070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.01979716,1 +52072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.379300353,1 +52073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.742286653,1 +52071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.931853339,1 +52074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.398263585,1 +52077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.61666714,1 +52076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.253080381,1 +52078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.219664648,1 +52075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.367443345,1 +52079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,7.423291183,1 +52080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.772573869,1 +52081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.049277571,1 +52082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.210378179,1 +52083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,1.700183699,1 +52084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.152030475,1 +52085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.779627587,1 +52087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.925882156,1 +52086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.007831847,1 +52088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.204059006,1 +52089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.360179988,1 +52091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.741048034,1 +52090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.584462123,1 +52092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.603370664,1 +52094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.017565166,1 +52095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.604985016,1 +52096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.818791521,1 +52097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,8.14649464,1 +52098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,7.870017474,1 +52099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.333888533,1 +52093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.274158477,1 +52100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.839533827,1 +52101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.212969015,1 +52102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.440759176,1 +52105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.210328913,1 +52104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.535956979,1 +52103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.697641457,1 +52106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.151845275,1 +52108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.825865959,1 +52109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.267357479,1 +52110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.013740209,1 +52111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.52316753,1 +52112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.612500229,1 +52113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.379179835,1 +52114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.15476583,1 +52107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.074990182,1 +52116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.059278456,1 +52118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.53117833,1 +52115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.29158872,1 +52117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.395855063,1 +52120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.333384966,1 +52121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.808657011,1 +52119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.993206147,1 +52122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.866644703,1 +52123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.14641559,1 +52124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.223024659,1 +52125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.843803448,1 +52126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.272201801,1 +52128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.360230843,1 +52129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.587734608,1 +52130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.831594662,1 +52127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.51253609,1 +52132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.84143997,1 +52134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.317802609,1 +52133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.642056252,1 +52131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.876260783,1 +52135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.455239253,1 +52136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.413028003,1 +52137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.569443031,1 +52138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.289947098,1 +52140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.619027616,1 +52139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.138692369,1 +52141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.183057395,1 +52144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.426516614,1 +52143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.578664089,1 +52142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.065282276,1 +52145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.088314887,1 +52146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.82915608,1 +52148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.493556707,1 +52149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.314062646,1 +52147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.147137267,1 +52150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.275322579,1 +52151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.332549939,1 +52152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.703929237,1 +52153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,8.143157031,1 +52154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.44006347,1 +52156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.879681174,1 +52157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.492302334,1 +52155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.88642922,1 +52158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.000704437,1 +52159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.251492953,1 +52160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.275572529,1 +52161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.282389246,1 +52162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.318968867,1 +52163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.998860285,1 +52166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.411960083,1 +52164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.795480614,1 +52165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.720252357,1 +52167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.380075137,1 +52169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.949429929,1 +52168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.548157018,1 +52171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.072870428,1 +52170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.193202325,1 +52173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.347566054,1 +52172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.974332386,1 +52174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.701749022,1 +52175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,1.872806508,1 +52176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.282131037,1 +52177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.285415481,1 +52178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.506561195,1 +52180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.10142109,1 +52179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.841612165,1 +52181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.756508983,1 +52182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.721380656,1 +52183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.768531741,1 +52185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.951573397,1 +52187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.094164412,1 +52186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.907663506,1 +52188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.097245746,1 +52189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.940694443,1 +52190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.656818197,1 +52184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.911578067,1 +52191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.895510305,1 +52192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.396948576,1 +52193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.644707493,1 +52194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.4958204,1 +52195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.41138963,1 +52196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.283695032,1 +52198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.869511491,1 +52197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.433345174,1 +52199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.973888295,1 +52200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.417831186,1 +52202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.805181309,1 +52201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.619557143,1 +52203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,8.618284383,1 +52204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.886705412,1 +52205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.715744514,1 +52207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.160544207,1 +52208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.953394735,1 +52209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.441609777,1 +52206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.857702643,1 +52210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,7.013704477,1 +52211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.263386439,1 +52212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.234043763,1 +52213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.971774637,1 +52214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.381092676,1 +52215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.185987951,1 +52216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.882405408,1 +52217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.478986727,1 +52218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.937713202,1 +52220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.178321737,1 +52219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,7.47276287,1 +52222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.894743469,1 +52221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.938760437,1 +52223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.547901136,1 +52224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.661129899,1 +52225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,1.678728024,1 +52228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.057484832,1 +52227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.613630658,1 +52229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.791708706,1 +52226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,7.580992737,1 +52230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.674567745,1 +52231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.21845668,1 +52232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.666155557,1 +52233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.198474921,1 +52234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.027776118,1 +52235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.925959019,1 +52236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.793766349,1 +52238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.722855045,1 +52237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,1.766617455,1 +52239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,1.897340211,1 +52240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.631723041,1 +52241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.109933247,1 +52244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.788594466,1 +52243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.087371577,1 +52242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.778393164,1 +52245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.066499629,1 +52247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.515501284,1 +52246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.358559552,1 +52248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.907710771,1 +52249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.438871702,1 +52251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,7.070076436,1 +52250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.753264341,1 +52253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.738811105,1 +52252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.430032588,1 +52254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.733859169,1 +52255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.672768148,1 +52256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.184206079,1 +52257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.293047193,1 +52258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.772171351,1 +52259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.154677632,1 +52260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.356008607,1 +52262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.121495457,1 +52261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.451568141,1 +52264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.75752359,1 +52263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.186963792,1 +52265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.816111724,1 +52267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.621086074,1 +52268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.266370345,1 +52266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.687718552,1 +52269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.221304628,1 +52270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.720375814,1 +52272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.387894215,1 +52271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.088847353,1 +52273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.903045427,1 +52274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.529566795,1 +52277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.462683407,1 +52276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.798537145,1 +52278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.527252563,1 +52275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.904210679,1 +52279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.36766878,1 +52281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.242107369,1 +52282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.759020491,1 +52283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.563722076,1 +52284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.845173688,1 +52285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,1.584138937,1 +52280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.569068736,1 +52288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.888682103,1 +52286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.220480094,1 +52289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.562423268,1 +52287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.791350023,1 +52290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.246335001,1 +52291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.267736226,1 +52292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.95227145,1 +52293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.211766796,1 +52295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.73744013,1 +52297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.347157892,1 +52294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,7.689155298,1 +52298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.612811864,1 +52299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.1214735,1 +52300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.34919033,1 +52296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.079095659,1 +52301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.613673331,1 +52303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.504412918,1 +52306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.488515299,1 +52302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.883991262,1 +52304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.123121983,1 +52305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.463651459,1 +52308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.889915283,1 +52309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.433632821,1 +52310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.52979921,1 +52311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.568063692,1 +52312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.780177116,1 +52313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.005516974,1 +52307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.151644911,1 +52314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,8.344981571,1 +52316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.576102059,1 +52317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.688107857,1 +52315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.793742774,1 +52319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.802492412,1 +52318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.600704149,1 +52320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.388591693,1 +52321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.734423536,1 +52322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.660089555,1 +52323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.398212541,1 +52324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.956611617,1 +52325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.184408129,1 +52326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.347191064,1 +52327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.407598323,1 +52329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.181267469,1 +52330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.31353133,1 +52331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.771635198,1 +52328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.631941802,1 +52334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.397231804,1 +52333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.124003154,1 +52335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.277880162,1 +52332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,7.064750067,1 +52336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.292765781,1 +52338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.271927139,1 +52337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.147881132,1 +52339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.15286211,1 +52340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.772715617,1 +52341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.291621443,1 +52342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.837955406,1 +52343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.156761759,1 +52344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.117219066,1 +52346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.502779307,1 +52347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.28591972,1 +52348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.555642273,1 +52345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.177903677,1 +52349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,7.13393409,1 +52352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.569732033,1 +52351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.074076042,1 +52350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.687133668,1 +52353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.193673571,1 +52354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.852418713,1 +52355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.834705218,1 +52357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.581752598,1 +52356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.511029533,1 +52360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.463777878,1 +52359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.430253442,1 +52358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.09521376,1 +52361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.727677939,1 +52363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.935189009,1 +52362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.532234537,1 +52364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.913976458,1 +52365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.249770418,1 +52367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.821566409,1 +52366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.513857957,1 +52368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.330567094,1 +52370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.129312673,1 +52371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,7.442800398,1 +52372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.907265928,1 +52373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.279141386,1 +52369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.544335006,1 +52375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.286600515,1 +52374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.738918064,1 +52376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.721291011,1 +52379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.833157255,1 +52378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.190528836,1 +52377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.88992685,1 +52380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.501815134,1 +52382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.731269862,1 +52383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.590414463,1 +52381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.72541079,1 +52384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.96526698,1 +52385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.474329793,1 +52387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.407449532,1 +52386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.409652408,1 +52389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.057814026,1 +52388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.587984831,1 +52390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.227818379,1 +52392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.855040983,1 +52393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.331789924,1 +52394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.488546571,1 +52391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.419720375,1 +52395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.211174707,1 +52397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.349541955,1 +52396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.839962566,1 +52398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.876009403,1 +52400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.083104036,1 +52399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.870762841,1 +52401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.801880895,1 +52402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.570284168,1 +52404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,7.958293476,1 +52403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.607369844,1 +52405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.77940779,1 +52407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.544468202,1 +52408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.639219035,1 +52409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.310719198,1 +52406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.426771121,1 +52411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.879037744,1 +52410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.305237328,1 +52412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.707406947,1 +52413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.150298474,1 +52414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.131208076,1 +52416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.138541485,1 +52415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,7.834080062,1 +52417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.273107503,1 +52418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,8.687614153,1 +52419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.803747694,1 +52420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,8.360542344,1 +52421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.935862867,1 +52422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.710966267,1 +52423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.984967029,1 +52424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.670138597,1 +52426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.998151926,1 +52428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.304926467,1 +52427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.934037386,1 +52425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.033689208,1 +52429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.772679218,1 +52430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.317174324,1 +52431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.667347113,1 +52432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.467756594,1 +52435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.528277223,1 +52433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.537720196,1 +52434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.765924151,1 +52436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.2345737,1 +52438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.825262112,1 +52439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,8.053990721,1 +52437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.912739532,1 +52440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.179369982,1 +52441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.330912268,1 +52443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.56751219,1 +52442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.171024382,1 +52445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.587614244,1 +52446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.27197196,1 +52447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.971689231,1 +52448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,7.054468797,1 +52444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.853580121,1 +52449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.613802958,1 +52450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.817484036,1 +52451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.488219474,1 +52453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.976475799,1 +52454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.559078008,1 +52455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.479202315,1 +52452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.871385791,1 +52457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.397827872,1 +52456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.957005582,1 +52459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,7.082798917,1 +52458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.948912782,1 +52461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.12039064,1 +52460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.818960199,1 +52462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.673785767,1 +52463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.807981446,1 +52464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.51386478,1 +52465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.947674669,1 +52468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.240741837,1 +52467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.759879562,1 +52469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.859124754,1 +52472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.702816747,1 +52471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.040848797,1 +52470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.220368728,1 +52466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.993171007,1 +52473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.207479436,1 +52474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.673996888,1 +52475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.254538406,1 +52477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.085461394,1 +52476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.470640101,1 +52478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.39541828,1 +52479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.303929307,1 +52481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.937548153,1 +52480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.493201485,1 +52482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.228036078,1 +52483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.959839774,1 +52485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.904971967,1 +52487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.418363491,1 +52486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.382580454,1 +52488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.474826463,1 +52484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.785421863,1 +52490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.271214111,1 +52489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.964470367,1 +52491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.764330648,1 +52492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.993295951,1 +52493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,7.068736081,1 +52494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.20689964,1 +52495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.011602282,1 +52496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.916558332,1 +52497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.181526688,1 +52498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.805962415,1 +52499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.828041722,1 +52500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.534955505,1 +52501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.983024079,1 +52502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.703280669,1 +52503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.587532762,1 +52504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.300706482,1 +52505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.970089737,1 +52506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.896785747,1 +52507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.633492726,1 +52509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.642014236,1 +52510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.582248734,1 +52511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.296933372,1 +52508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.530660951,1 +52512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.157844437,1 +52513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.102337182,1 +52514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.280855015,1 +52516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.256620319,1 +52517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.917311794,1 +52515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.759837877,1 +52518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.901652343,1 +52519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.723244613,1 +52521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.785413311,1 +52520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.450002569,1 +52523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.922477323,1 +52522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.482704165,1 +52525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,1.659465161,1 +52526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.273871941,1 +52527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.166070993,1 +52528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.387753584,1 +52530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.685377783,1 +52524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.808892169,1 +52529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.042454945,1 +52531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.430402547,1 +52532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.412402304,1 +52534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.378456573,1 +52533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.995342404,1 +52535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.091407778,1 +52536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.041011156,1 +52537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.081899585,1 +52538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.572448469,1 +52539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.766378664,1 +52540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.027939984,1 +52541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.980609274,1 +52543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.809797933,1 +52542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.793414794,1 +52545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.316293704,1 +52544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.681917121,1 +52546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.155010702,1 +52548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,8.015552886,1 +52549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.998384696,1 +52547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.408292378,1 +52552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.044612943,1 +52550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.022592077,1 +52551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.216292418,1 +52553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.405280261,1 +52554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.845945221,1 +52555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.699305082,1 +52556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.661208511,1 +52558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.369830912,1 +52557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.215793166,1 +52559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.7632919,1 +52560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.535797739,1 +52561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.359269624,1 +52564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.722639681,1 +52563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.819471576,1 +52562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.673387874,1 +52565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.692247086,1 +52567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.092073073,1 +52566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.10252209,1 +52568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.111041308,1 +52569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.603068035,1 +52570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.177572324,1 +52571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.708826888,1 +52573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.795405092,1 +52574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.314198484,1 +52575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.770523643,1 +52572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,8.268851662,1 +52576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.779969212,1 +52577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.650620384,1 +52578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.228086028,1 +52579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.694029436,1 +52581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,7.520698805,1 +52582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.965449579,1 +52580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.611310201,1 +52585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.974510122,1 +52584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.349238924,1 +52586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.854203205,1 +52583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.295474234,1 +52587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.661868185,1 +52588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.436092454,1 +52589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.228644298,1 +52592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.679369027,1 +52590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.557366304,1 +52591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.366023311,1 +52593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.487968127,1 +52596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.551914458,1 +52595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.323151521,1 +52594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.603979898,1 +52597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.918169679,1 +52598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.828850253,1 +52599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.176615778,1 +52600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.346252038,1 +52601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.681400171,1 +52602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.602798408,1 +52604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.779536843,1 +52605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.414639616,1 +52606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.079232514,1 +52607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.712994956,1 +52608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.550074133,1 +52603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.166048436,1 +52611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.679904643,1 +52609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.630092329,1 +52610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.440247141,1 +52612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.504352998,1 +52613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.915766607,1 +52614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.64683458,1 +52615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.524587493,1 +52616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.632878639,1 +52617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.835489947,1 +52618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.473544989,1 +52619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.90157898,1 +52622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,7.046396232,1 +52621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.397429951,1 +52620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.827687711,1 +52623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.410246622,1 +52624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.12277778,1 +52625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.338487603,1 +52627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.912188262,1 +52628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.183758433,1 +52626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.539309975,1 +52630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.866855668,1 +52629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.121608653,1 +52631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.300180422,1 +52632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.870623713,1 +52633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.78995586,1 +52635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.284620287,1 +52634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.215403176,1 +52636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.018372087,1 +52637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.974410397,1 +52638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.546345327,1 +52640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.699789638,1 +52641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.472016895,1 +52639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.055867359,1 +52642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.931885781,1 +52645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.324749041,1 +52643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.272994889,1 +52644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.274338218,1 +52646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.401253384,1 +52647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.251781909,1 +52648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.145263497,1 +52649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.657571243,1 +52650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.993131635,1 +52652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.222645145,1 +52651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.554717678,1 +52653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.111397481,1 +52654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.539306698,1 +52656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.793970145,1 +52657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,7.36304607,1 +52655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,8.246824586,1 +52658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.27242323,1 +52659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.989703501,1 +52660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.342573435,1 +52662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.66495597,1 +52661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.691773358,1 +52664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.459765579,1 +52663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.332985315,1 +52665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.97304216,1 +52667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.940758767,1 +52666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.590096024,1 +52668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.077670068,1 +52669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.283465607,1 +52670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.521149859,1 +52671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.315825564,1 +52672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.132949051,1 +52673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.001257938,1 +52674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,1.852276811,1 +52676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.883013433,1 +52677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.019496062,1 +52678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.989688468,1 +52679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.808996518,1 +52680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.140893819,1 +52675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.024860885,1 +52681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.358562816,1 +52682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.547000701,1 +52683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.14378014,1 +52685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.15232558,1 +52686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.832568565,1 +52684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.643109342,1 +52687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.948183635,1 +52689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.242007745,1 +52688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.350954721,1 +52690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.389017893,1 +52692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.513104762,1 +52691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.211630218,1 +52693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.247061735,1 +52694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.548526915,1 +52695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.278467495,1 +52697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.443053503,1 +52696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.015794814,1 +52699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.320882049,1 +52700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.394738049,1 +52701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.139597366,1 +52698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.37869086,1 +52704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.354933611,1 +52702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.102500259,1 +52703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.358078448,1 +52705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.496862805,1 +52706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.979606314,1 +52707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.55768349,1 +52709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.312326854,1 +52708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.370851519,1 +52710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.279718105,1 +52711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.200713775,1 +52713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.224827321,1 +52714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.275930502,1 +52715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.512801041,1 +52716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.942722398,1 +52712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.550123716,1 +52717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.195474911,1 +52719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.132381097,1 +52718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.480420449,1 +52720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.104376966,1 +52721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.743813507,1 +52722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.466862538,1 +52723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.908337358,1 +52724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.879565748,1 +52725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.802989364,1 +52726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.129894206,1 +52727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.138719987,1 +52728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.732226443,1 +52729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.22349193,1 +52730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.83913824,1 +52731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.319827707,1 +52733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.093141672,1 +52732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.582688354,1 +52734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.121442684,1 +52735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.55977179,1 +52737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.456646469,1 +52736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.461818257,1 +52739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.170013098,1 +52738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.115530523,1 +52741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.834132442,1 +52740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.047339196,1 +52743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.192896669,1 +52742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.112044651,1 +52744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.250715912,1 +52745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.882916539,1 +52746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.563252673,1 +52747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.777559401,1 +52748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.821168918,1 +52750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.293383878,1 +52751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.243108806,1 +52749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.308710687,1 +52752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.931984861,1 +52753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.261029926,1 +52754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.833999373,1 +52755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.889450397,1 +52756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.829965001,1 +52757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.732093321,1 +52758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.878208797,1 +52759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.368874359,1 +52760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.244975764,1 +52761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.243552865,1 +52762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.006287947,1 +52763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.365271678,1 +52764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.331653989,1 +52766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.219452249,1 +52765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.196118796,1 +52768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.100093992,1 +52769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.686050397,1 +52770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.140180661,1 +52771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.182777431,1 +52772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.636002455,1 +52773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.526971593,1 +52767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.058272607,1 +52774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.741281749,1 +52775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.488168473,1 +52776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.830142136,1 +52777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.941908055,1 +52778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.264893389,1 +52779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.439716304,1 +52781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.50708286,1 +52780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.480633475,1 +52782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.203307768,1 +52783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.688159099,1 +52785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.175397594,1 +52784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.118370171,1 +52786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.282527744,1 +52787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.811410265,1 +52788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,7.325415192,1 +52789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,7.081382689,1 +52790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.402158735,1 +52791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,7.119537728,1 +52792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.552873821,1 +52793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,1.349606951,1 +52795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.296766705,1 +52794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.883672827,1 +52796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.04568216,1 +52798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.007869602,1 +52797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.319965144,1 +52799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.832526594,1 +52800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.360813594,1 +52802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.983537864,1 +52801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.250771715,1 +52804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.949144598,1 +52803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.132984188,1 +52805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.925885982,1 +52806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.811051482,1 +52807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.904814417,1 +52809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.966727902,1 +52810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.829288019,1 +52808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.76758965,1 +52811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.004067387,1 +52813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.485014519,1 +52812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.912892101,1 +52814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.825432228,1 +52815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.117454388,1 +52817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.857507186,1 +52816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.033183203,1 +52818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.723123981,1 +52820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.211872663,1 +52819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.061544363,1 +52821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.914643825,1 +52822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.35913561,1 +52823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.522116424,1 +52824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.707104362,1 +52825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.230216729,1 +52827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.621057929,1 +52828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.105746445,1 +52826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.002419413,1 +52830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.66386971,1 +52831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.77259352,1 +52832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,7.717781958,1 +52829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.11596095,1 +52833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.959029583,1 +52834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.026788399,1 +52835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.452386891,1 +52837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.948762295,1 +52838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.811230962,1 +52836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.197648499,1 +52839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.652651746,1 +52841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.946309502,1 +52840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.846839308,1 +52842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.930065222,1 +52844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.069307375,1 +52845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.238021861,1 +52843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.08330991,1 +52846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.659437249,1 +52847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.971932199,1 +52848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.170067915,1 +52849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.452798529,1 +52851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.69437993,1 +52852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.279085013,1 +52853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.80880373,1 +52850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.417184171,1 +52854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.263905808,1 +52856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.717482831,1 +52855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.787709542,1 +52857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.680702384,1 +52858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,7.423296141,1 +52859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.137189543,1 +52861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.266531726,1 +52860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.695666572,1 +52862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.824651164,1 +52863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.589033851,1 +52864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.27866735,1 +52865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.27398898,1 +52866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.040231255,1 +52868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.489103218,1 +52869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.375380421,1 +52870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.348800598,1 +52872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.435118,1 +52871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.879312173,1 +52867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.16403739,1 +52873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.093233192,1 +52876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.025474852,1 +52875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.820585694,1 +52874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.835191207,1 +52877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.226766201,1 +52878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.309083102,1 +52879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.622898497,1 +52880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.627912447,1 +52881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.790953993,1 +52882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.362812326,1 +52884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.950096982,1 +52885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.686273179,1 +52883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.239805285,1 +52887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.689031082,1 +52886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.610162364,1 +52889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.374096562,1 +52888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.822810974,1 +52890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.925397962,1 +52891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.979448406,1 +52893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.511967881,1 +52894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.395826471,1 +52895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.498693598,1 +52896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.496858649,1 +52892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.928964558,1 +52897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.722266477,1 +52898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.858008554,1 +52899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.779652607,1 +52901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.071575663,1 +52902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.695233196,1 +52900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.732422201,1 +52903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.285319332,1 +52906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.51560721,1 +52904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.660170325,1 +52905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.942393627,1 +52907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.132592145,1 +52909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.123627774,1 +52908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.073657518,1 +52910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.487005744,1 +52911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.795063199,1 +52912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.312513753,1 +52915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.801315129,1 +52914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.859137379,1 +52916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.720068246,1 +52918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.800429817,1 +52917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.212447218,1 +52913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.735873778,1 +52920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.448016707,1 +52919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.531035173,1 +52922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.416381913,1 +52921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.637477634,1 +52923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.254389029,1 +52924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.893474329,1 +52925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.027403269,1 +52926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,7.828338945,1 +52927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.180992178,1 +52928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.817345112,1 +52930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.918021667,1 +52929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.182156836,1 +52931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.792316793,1 +52932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.399528777,1 +52933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.432169815,1 +52936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.953994516,1 +52935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.725971788,1 +52934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.709572021,1 +52937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.564845895,1 +52938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.948504182,1 +52939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.095047694,1 +52941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.173343426,1 +52940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.054070953,1 +52942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.710312351,1 +52944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.93706768,1 +52943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.189944324,1 +52946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.775605809,1 +52945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.056330846,1 +52947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.46315424,1 +52948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.658363733,1 +52949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.358177419,1 +52950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,7.700675191,1 +52952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.022260038,1 +52951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.513024163,1 +52953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.546229952,1 +52955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.448822076,1 +52956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.813432585,1 +52954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.442671225,1 +52957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.411310736,1 +52958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.277261327,1 +52959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.289236077,1 +52961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.737202472,1 +52960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.570461095,1 +52962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,7.775800463,1 +52963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.598651493,1 +52964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.525731086,1 +52965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.461042834,1 +52966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.27470199,1 +52967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.238390407,1 +52968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.300897956,1 +52970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,7.842281374,1 +52971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.887669441,1 +52972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.669287517,1 +52973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.479069384,1 +52974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,7.89781479,1 +52975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.414081779,1 +52969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.072791676,1 +52976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.49105862,1 +52977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.589206634,1 +52978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.497363949,1 +52979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.978703398,1 +52980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.256701778,1 +52982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,2.58573759,1 +52981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.343463968,1 +52983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.249679147,1 +52984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.176863211,1 +52985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,6.001255239,1 +52986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.828777274,1 +52987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,7.399793389,1 +52988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.685612598,1 +52989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.774589377,1 +52990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.481042707,1 +52992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.017179369,1 +52993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.358147106,1 +52994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,5.049278558,1 +52995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.773250547,1 +52997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.815626201,1 +52996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.453854072,1 +52991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.646277037,1 +52998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,3.008453647,1 +52999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.441137944,1 +53000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,3,1,4.88665462,1 +62001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.958549999,1 +62002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.226356909,1 +62005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.868779701,1 +62004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.853244915,1 +62003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.103270783,1 +62006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.599696053,1 +62008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.755798395,1 +62009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,7.451490628,1 +62007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.230673068,1 +62011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.292156666,1 +62012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.614939921,1 +62010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.70827879,1 +62013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.883659413,1 +62014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.334921439,1 +62017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.032011934,1 +62015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.434070781,1 +62016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.209398054,1 +62020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.229858959,1 +62019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.337527552,1 +62018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.465493472,1 +62021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.814206292,1 +62023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,8.279959009,1 +62022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.821332358,1 +62024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.129598329,1 +62026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.308317838,1 +62027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.406947239,1 +62025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.254387573,1 +62028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.098905876,1 +62029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.82526526,1 +62030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.838092053,1 +62031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.238020616,1 +62032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.556178828,1 +62033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.541076583,1 +62034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.558021539,1 +62035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.974233152,1 +62036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.937772726,1 +62037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,7.242529767,1 +62038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.759056129,1 +62039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.500819057,1 +62040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.779267916,1 +62041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.069870845,1 +62042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.222530664,1 +62043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.593306879,1 +62044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.352722906,1 +62045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.398064313,1 +62046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.453275495,1 +62047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.736033649,1 +62048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.486105986,1 +62049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.851815492,1 +62050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.60968561,1 +62052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.962931917,1 +62053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.520655251,1 +62054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.322112142,1 +62051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.922729173,1 +62055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.799096924,1 +62056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.967949708,1 +62057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.721436236,1 +62058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.005256229,1 +62059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.062340205,1 +62060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.455818143,1 +62061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.573770362,1 +62063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.129380262,1 +62064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.756597966,1 +62062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.229261708,1 +62065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.786449155,1 +62067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.279683519,1 +62066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.598502123,1 +62068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.302260065,1 +62069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.159049904,1 +62071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.873576767,1 +62070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.435956248,1 +62073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.588129522,1 +62074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.541630291,1 +62075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.011417962,1 +62076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.071379494,1 +62077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.375935868,1 +62078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.1767168,1 +62079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.79281206,1 +62072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.376893666,1 +62080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.295422348,1 +62081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.140997513,1 +62082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.785018347,1 +62083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.935001486,1 +62084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.426005103,1 +62085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.41121623,1 +62086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.190778529,1 +62087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.169683038,1 +62088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.9555957,1 +62089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.955583898,1 +62090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.08671524,1 +62092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.835597744,1 +62093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.092409364,1 +62094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.307397815,1 +62095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.458663851,1 +62096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.18270037,1 +62097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.311355261,1 +62091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.922403765,1 +62098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.034038953,1 +62101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.363398132,1 +62100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.044002263,1 +62099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.963510719,1 +62102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.147132412,1 +62104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.406187916,1 +62105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.205542711,1 +62103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.244345709,1 +62106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.693068093,1 +62107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.378146777,1 +62108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.425343903,1 +62109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.405002035,1 +62110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.274769501,1 +62111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.330812793,1 +62112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.853330763,1 +62114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,8.02071185,1 +62113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.417235909,1 +62115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.48579549,1 +62117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.381233964,1 +62118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.62143033,1 +62120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.22545316,1 +62119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.704207235,1 +62116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.510846014,1 +62121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.192972632,1 +62122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.842254683,1 +62123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.835817362,1 +62124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.21517565,1 +62126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.998351386,1 +62127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.101230405,1 +62125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.541171895,1 +62128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.063920829,1 +62130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,7.642009796,1 +62129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.275816023,1 +62131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.391375178,1 +62132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,1.914662769,1 +62133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.000600984,1 +62134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.294043427,1 +62135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.908551563,1 +62138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.000231623,1 +62137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.693262184,1 +62136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.830514632,1 +62139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.386267559,1 +62140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.461227269,1 +62141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.44250592,1 +62142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.753484281,1 +62143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,7.16044471,1 +62144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.05690752,1 +62145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.31970795,1 +62146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.703420155,1 +62147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.30539104,1 +62148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.489268041,1 +62149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.178496134,1 +62150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.231090449,1 +62151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.68167404,1 +62152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.757207832,1 +62153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.616953281,1 +62154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.41241036,1 +62156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.860179137,1 +62158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.641388643,1 +62155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.108713851,1 +62160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.941431792,1 +62157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.35091576,1 +62159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.042784795,1 +62161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.092877235,1 +62162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.38380696,1 +62163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.463810365,1 +62165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.99409277,1 +62164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.959650027,1 +62166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.459708073,1 +62167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.022127363,1 +62168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,8.480620321,1 +62170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.222751479,1 +62169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.982232835,1 +62171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.686073213,1 +62172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.434318846,1 +62173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.367075772,1 +62174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,7.46336304,1 +62175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.713740094,1 +62176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.673738953,1 +62177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.189420669,1 +62179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.281571512,1 +62180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.247479835,1 +62181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.300401583,1 +62182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.932158818,1 +62178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.235988884,1 +62183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.165478645,1 +62184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.628284721,1 +62185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.266537432,1 +62187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.079251412,1 +62188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.201064684,1 +62186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.772920064,1 +62190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.130704296,1 +62189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.364104219,1 +62191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.440725741,1 +62192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.116207269,1 +62194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.262133622,1 +62195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.688936212,1 +62193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.083544602,1 +62198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.250085837,1 +62196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.991174181,1 +62197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.034578461,1 +62199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.09974497,1 +62200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.191477135,1 +62202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,7.450283871,1 +62203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,9.437456268,1 +62201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.640871974,1 +62206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.007972624,1 +62204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.597596009,1 +62205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.788790939,1 +62207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.631573412,1 +62208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.98474469,1 +62209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.384964931,1 +62210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.988311692,1 +62212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.514558543,1 +62213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.333193977,1 +62211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.891301159,1 +62214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.326420872,1 +62215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.808676733,1 +62216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.981914315,1 +62218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.471031779,1 +62219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.873282898,1 +62217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.368096684,1 +62220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.592077767,1 +62222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.198739451,1 +62221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.807913714,1 +62223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.105570813,1 +62224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.407334459,1 +62225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.765275079,1 +62226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.091709488,1 +62227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.205406771,1 +62228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.64795133,1 +62229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.006920248,1 +62230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.296726725,1 +62231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.863282178,1 +62232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.836442249,1 +62233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.716580511,1 +62234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,7.615333288,1 +62236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.05050803,1 +62237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.102301987,1 +62238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.822092456,1 +62235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.409827339,1 +62239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.582902007,1 +62240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.240256048,1 +62243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.974423205,1 +62242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.368467505,1 +62244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.476301402,1 +62241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.17303407,1 +62245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.837013509,1 +62246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.992320023,1 +62247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.011143333,1 +62249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.263546534,1 +62248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.900189649,1 +62250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.838470509,1 +62251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.408746474,1 +62253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.132311742,1 +62252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.479693633,1 +62255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.431354716,1 +62256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.52569105,1 +62254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.589204287,1 +62257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.699488708,1 +62258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.436906775,1 +62260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.653191231,1 +62261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.253128126,1 +62262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.744177456,1 +62263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.573069307,1 +62264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.725312622,1 +62265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.319047172,1 +62259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.83972438,1 +62266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.521877568,1 +62269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.594053593,1 +62268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.240068684,1 +62267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.486989462,1 +62271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.420503394,1 +62272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.910723977,1 +62270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.551169179,1 +62273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.555529537,1 +62274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.912481398,1 +62275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.787683175,1 +62276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.706179356,1 +62277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.770591041,1 +62279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.136938555,1 +62281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.838721386,1 +62280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.426721728,1 +62278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.899451485,1 +62283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.453644227,1 +62282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.717535216,1 +62285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.257759101,1 +62286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.143232772,1 +62287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.841540721,1 +62284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.979919816,1 +62288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.665508041,1 +62289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.602021024,1 +62290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.741517179,1 +62292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.445456237,1 +62293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.350526668,1 +62294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.092193844,1 +62291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.129180897,1 +62297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.1035863,1 +62295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.521559536,1 +62298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.847242413,1 +62296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.788514087,1 +62300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,7.474550513,1 +62301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.100779334,1 +62299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.511441634,1 +62302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.162369551,1 +62303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.637270844,1 +62305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.607903762,1 +62306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.486143082,1 +62307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.784524466,1 +62308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.995385341,1 +62304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.494907173,1 +62309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.520010491,1 +62310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.357548288,1 +62313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.834702704,1 +62312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.455408578,1 +62311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.88715999,1 +62314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.996692889,1 +62317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.921889083,1 +62315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.421812223,1 +62316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.563679411,1 +62319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.105503102,1 +62318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.270782926,1 +62321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.211782122,1 +62320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.012408864,1 +62322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.386283871,1 +62323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.773550793,1 +62325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.562061911,1 +62326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,7.559544102,1 +62324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.299212762,1 +62328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.695519914,1 +62327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.320903906,1 +62329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.527199773,1 +62330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.281410136,1 +62332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.097868137,1 +62333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.37818851,1 +62334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.320026533,1 +62335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.628085342,1 +62331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.260644024,1 +62336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.274704872,1 +62337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.661012128,1 +62338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.459549366,1 +62340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.476681077,1 +62339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.733841892,1 +62342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.150682308,1 +62341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.776552385,1 +62344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.420038268,1 +62343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.949966666,1 +62347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.756141067,1 +62346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.738171429,1 +62345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.253929094,1 +62348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.118417008,1 +62350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.307713901,1 +62351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.385277331,1 +62352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.311075674,1 +62349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.728523507,1 +62353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.181361917,1 +62354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.885060316,1 +62355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.096992028,1 +62358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.400477832,1 +62356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.699215177,1 +62357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.655821678,1 +62361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.957325818,1 +62359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.922705393,1 +62362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.302552567,1 +62360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.193536868,1 +62364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.144364414,1 +62363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.726504498,1 +62365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.034540933,1 +62366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.786710605,1 +62367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.076072937,1 +62370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.943945873,1 +62368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.099692904,1 +62371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.522227847,1 +62369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.500599743,1 +62372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.731937041,1 +62373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.3193218,1 +62374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.686051902,1 +62376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.237224369,1 +62377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.216088221,1 +62378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.106969853,1 +62379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.283818478,1 +62380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.246676514,1 +62375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.279091615,1 +62381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.750590531,1 +62382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,9.124553097,1 +62383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.25078153,1 +62384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.19040173,1 +62385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.968746716,1 +62386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,8.067679004,1 +62388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.175233631,1 +62387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.957618061,1 +62390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,8.911998274,1 +62389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.193567151,1 +62391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.208828566,1 +62392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.144465308,1 +62393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,9.095482243,1 +62394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.795255311,1 +62396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.771870411,1 +62397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.112450162,1 +62398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.446016221,1 +62399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.977159412,1 +62400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.685552979,1 +62401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.842612368,1 +62395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.233071179,1 +62402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.983463565,1 +62403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.927787861,1 +62405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.228790437,1 +62406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,7.981889998,1 +62404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.895124512,1 +62407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.743949056,1 +62408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.297201652,1 +62409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.168734078,1 +62410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.332446635,1 +62411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.861689794,1 +62412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.958564374,1 +62413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.316270552,1 +62415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.800390136,1 +62414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.992906079,1 +62417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.241725713,1 +62416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.180467045,1 +62419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.477385943,1 +62420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.749709762,1 +62418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.18932367,1 +62422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.707498533,1 +62421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.466161176,1 +62423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.510486074,1 +62424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.927637437,1 +62425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.500240468,1 +62426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.906997861,1 +62427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.523010236,1 +62428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.655532176,1 +62429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.893609288,1 +62430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.061097406,1 +62432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.870250104,1 +62433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.63732991,1 +62431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.20917867,1 +62434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.33750177,1 +62437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.522511672,1 +62435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.73102304,1 +62436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.399704026,1 +62439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.267942519,1 +62438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.728085679,1 +62440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.985384342,1 +62441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.436576606,1 +62442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.583699192,1 +62444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.235652348,1 +62443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,7.019148163,1 +62445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.388046696,1 +62446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.250052261,1 +62447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.616696186,1 +62448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.757636656,1 +62449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.883724459,1 +62450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.10370728,1 +62453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.445755002,1 +62451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.859411977,1 +62452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.645418339,1 +62454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.916544622,1 +62455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.912689905,1 +62456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.656484752,1 +62457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.117468367,1 +62458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.532054121,1 +62459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.469057296,1 +62460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.217299031,1 +62461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.515980473,1 +62462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.910497097,1 +62463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.615748672,1 +62464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.756087369,1 +62466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.437476442,1 +62467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.944135724,1 +62465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.249752794,1 +62468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.171322006,1 +62470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.876724864,1 +62469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,9.140390143,1 +62472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.066973526,1 +62471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,1.925123158,1 +62473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.301732761,1 +62474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.861678153,1 +62475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.727747927,1 +62476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.12147591,1 +62477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.209996929,1 +62478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.678886816,1 +62479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.034905081,1 +62480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.891032545,1 +62481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.113742916,1 +62483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.483647376,1 +62482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.394005515,1 +62485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.644830393,1 +62486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.192386975,1 +62487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.521902159,1 +62488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.629680215,1 +62489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.768128645,1 +62484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.882996758,1 +62490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.933679206,1 +62491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.523631083,1 +62492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.734021775,1 +62494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.862423121,1 +62497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.205160435,1 +62493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.192785447,1 +62495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.939431488,1 +62496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.035769893,1 +62499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.34294207,1 +62498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.249489829,1 +62500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.056897502,1 +62501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.637166437,1 +62503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.045741916,1 +62504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.506927476,1 +62505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.595661971,1 +62502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.862030276,1 +62506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.960034866,1 +62507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.768065931,1 +62508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.146861848,1 +62510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.310147865,1 +62511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.667442834,1 +62512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.067805656,1 +62509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.441440299,1 +62513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.315802561,1 +62515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.980371257,1 +62514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.144056541,1 +62516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.913011097,1 +62517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.078837265,1 +62518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.61814934,1 +62519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.354858984,1 +62520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.617940335,1 +62521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.468544254,1 +62522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.617196218,1 +62523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.764866392,1 +62525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.510519712,1 +62526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.488202038,1 +62527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.7838639,1 +62528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.387509927,1 +62530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.082265512,1 +62524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.933759943,1 +62529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.587790439,1 +62532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.561826879,1 +62531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,8.384197029,1 +62533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.483186587,1 +62534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.510720935,1 +62535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.675426072,1 +62536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,7.423507894,1 +62537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.618064249,1 +62538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.452326576,1 +62540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.898895447,1 +62539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.546143096,1 +62542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.234954538,1 +62543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.107750026,1 +62541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.912909182,1 +62544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,8.59350434,1 +62546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.473848852,1 +62548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.170672859,1 +62545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.080185239,1 +62547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.004687053,1 +62549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.600574953,1 +62550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.805113461,1 +62551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.976295069,1 +62553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.108089692,1 +62552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.415299889,1 +62554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.98820034,1 +62555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.981217347,1 +62559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.009018539,1 +62557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.249162037,1 +62556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.498458986,1 +62558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.485950288,1 +62560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,7.483862085,1 +62562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.848416994,1 +62563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.921532333,1 +62561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.008529301,1 +62565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.073635174,1 +62566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.174366776,1 +62564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.723062612,1 +62567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.190693434,1 +62568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.606933668,1 +62569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.035974307,1 +62570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.173410308,1 +62573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.188022483,1 +62571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.906189535,1 +62572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.237093775,1 +62574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.898291802,1 +62575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.235617472,1 +62577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.509194598,1 +62576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.15955924,1 +62579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.197912908,1 +62580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.523777676,1 +62581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.261848807,1 +62578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.115449537,1 +62584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.686434387,1 +62583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.63769293,1 +62585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.463972507,1 +62587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.61497142,1 +62586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.786103477,1 +62582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.472236694,1 +62588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.306936621,1 +62591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.924475268,1 +62590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.712315366,1 +62589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.987081707,1 +62592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.892588456,1 +62595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.837310042,1 +62593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.638160908,1 +62594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.5760718,1 +62596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.47501302,1 +62599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.707632642,1 +62597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,7.06996136,1 +62598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.373481538,1 +62601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.678923689,1 +62602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.820237264,1 +62600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.432176627,1 +62603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.790758355,1 +62605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.733380133,1 +62606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.76090971,1 +62604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.431622323,1 +62609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.357354658,1 +62608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.674776751,1 +62610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.480089379,1 +62607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.341652816,1 +62611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,7.164417637,1 +62613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.85173929,1 +62612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.334363126,1 +62614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.988083837,1 +62617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.577196365,1 +62616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.738990246,1 +62615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.978810046,1 +62619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.301241725,1 +62620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.796825156,1 +62618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.363410148,1 +62621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.658078808,1 +62622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.788061663,1 +62623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.413883607,1 +62625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.071300481,1 +62624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.427401512,1 +62626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.351182916,1 +62627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.927007147,1 +62628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.496679654,1 +62629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.927982671,1 +62630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.193505517,1 +62631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,7.601743489,1 +62633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.093964765,1 +62632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.733168077,1 +62635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.492150602,1 +62634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.070821641,1 +62637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.731295309,1 +62638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.961369857,1 +62639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.13276536,1 +62636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.339791643,1 +62640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.958754988,1 +62641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.169296707,1 +62642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.880380975,1 +62643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.38022421,1 +62644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.549321891,1 +62645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.929870143,1 +62646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.032779584,1 +62647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.844597859,1 +62649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.902630491,1 +62648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.815586308,1 +62650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.258742202,1 +62652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.806307343,1 +62653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.381686429,1 +62654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,7.534438113,1 +62655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.418332761,1 +62656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.988377388,1 +62657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.482524511,1 +62658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.791948695,1 +62651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.846281649,1 +62659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.533332825,1 +62660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.415849777,1 +62661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.535991512,1 +62663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.417219207,1 +62662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.257866081,1 +62664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.642376157,1 +62665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.855091926,1 +62666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.174204197,1 +62667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.525723174,1 +62668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,7.006492163,1 +62669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.767744227,1 +62670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.661730004,1 +62671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.679894091,1 +62672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.424921903,1 +62673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.150454406,1 +62674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.064214274,1 +62676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.284828833,1 +62677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.743587397,1 +62678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.170382511,1 +62675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.971161051,1 +62679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.400799139,1 +62680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.677849011,1 +62682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.432243643,1 +62681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.537858582,1 +62684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.637363455,1 +62683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.251432948,1 +62686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,7.146046575,1 +62687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.767919065,1 +62688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.395684062,1 +62685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.614678729,1 +62690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.357823792,1 +62689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.499749026,1 +62691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.205484402,1 +62692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.081753858,1 +62693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.109454249,1 +62694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.262866762,1 +62695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.352905773,1 +62698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.460297202,1 +62696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.767836023,1 +62697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.182369091,1 +62699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.853018489,1 +62700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.33126218,1 +62702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.182838927,1 +62703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.995203754,1 +62701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.990991096,1 +62704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.658467256,1 +62705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.441429434,1 +62706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.796376734,1 +62707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.336781724,1 +62708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.664430755,1 +62709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.991287851,1 +62710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.37536519,1 +62711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.861989578,1 +62712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.52755531,1 +62714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.365222182,1 +62713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.619068051,1 +62716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.115617927,1 +62717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.151195238,1 +62718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.167251158,1 +62715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.766000263,1 +62719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.635410777,1 +62721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.535321991,1 +62720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.514233454,1 +62722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.767436972,1 +62723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.772840574,1 +62724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.254544013,1 +62725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.82722547,1 +62726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.904848366,1 +62727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.347773271,1 +62728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.14465848,1 +62729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.065097907,1 +62731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.935123257,1 +62732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.153716557,1 +62733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.219207516,1 +62734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.752563449,1 +62735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.63497731,1 +62730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.635837437,1 +62736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.777096139,1 +62737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.913133413,1 +62738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.023758937,1 +62739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.18244586,1 +62740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.046831925,1 +62741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.05457405,1 +62742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.423320853,1 +62744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.169090014,1 +62743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.836117431,1 +62746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.712204659,1 +62745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.788327986,1 +62749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.423811069,1 +62750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.268627994,1 +62747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,7.26772208,1 +62751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.270738574,1 +62752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.518960453,1 +62748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.030737346,1 +62753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.973334282,1 +62754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.662815022,1 +62757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.764341139,1 +62756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.101679122,1 +62755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.581548701,1 +62759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.526666604,1 +62758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.650019156,1 +62760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.679743588,1 +62761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.71291754,1 +62763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.120243694,1 +62764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.499422553,1 +62765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.657468172,1 +62766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.635462692,1 +62762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.608013336,1 +62768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.049125305,1 +62769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.4369214,1 +62770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.040986254,1 +62767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.382753027,1 +62773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.951893075,1 +62771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.993641563,1 +62774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.436285677,1 +62772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.83618449,1 +62775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.19731152,1 +62776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.311462559,1 +62778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.783772423,1 +62777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.660598608,1 +62780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.486197073,1 +62781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.231851151,1 +62779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.957466037,1 +62782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.451294666,1 +62783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.440053953,1 +62784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.736935251,1 +62785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.120534322,1 +62786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.922721436,1 +62788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.462898217,1 +62787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.716582814,1 +62789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.348285068,1 +62790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.835071841,1 +62792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.104663423,1 +62791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.355269862,1 +62793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.198812563,1 +62794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.046133579,1 +62796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.445096345,1 +62795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.727592326,1 +62800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.949797801,1 +62798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.383969034,1 +62799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,8.430916894,1 +62797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.98954897,1 +62801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.101130044,1 +62802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.094087048,1 +62804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.822442098,1 +62803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.190521781,1 +62805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.060522707,1 +62807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.24060234,1 +62806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.364092014,1 +62808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.69713682,1 +62809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.319904224,1 +62810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.628671661,1 +62811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.573651315,1 +62812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,7.210222739,1 +62813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.693149739,1 +62814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.567497915,1 +62815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.733789539,1 +62816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.415243181,1 +62817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.192162969,1 +62818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.267067631,1 +62819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,7.128436669,1 +62821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.707293432,1 +62820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.941432172,1 +62822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.596565929,1 +62824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.845129164,1 +62825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.222020917,1 +62823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.692381716,1 +62826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.867761773,1 +62827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,8.196519429,1 +62828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.490716094,1 +62829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.647836151,1 +62830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.093038844,1 +62832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.259492947,1 +62831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.482436433,1 +62833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.052710527,1 +62835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.034857459,1 +62834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.059100262,1 +62836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,7.481118091,1 +62838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.697051956,1 +62839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.77666825,1 +62840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.833069778,1 +62837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,7.144336105,1 +62841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.10864555,1 +62842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.050276728,1 +62843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.117374708,1 +62844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.222119441,1 +62847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.986889994,1 +62846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.843371932,1 +62845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.264315019,1 +62848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.337502187,1 +62849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.603387595,1 +62850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.662154913,1 +62851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.264869596,1 +62852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.160789757,1 +62853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.870327006,1 +62854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.84678828,1 +62855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.209126534,1 +62856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.854365386,1 +62857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.705196384,1 +62858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.225890618,1 +62861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.871746147,1 +62860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.502459437,1 +62859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.020908707,1 +62862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.996803944,1 +62863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.006165858,1 +62864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.123697178,1 +62865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.914798399,1 +62867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.566045833,1 +62866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.265106731,1 +62868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.434657976,1 +62869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.244718143,1 +62870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,7.213862369,1 +62871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.643041525,1 +62872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.601097455,1 +62873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.696999709,1 +62874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.236269868,1 +62875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.598813162,1 +62876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.159559065,1 +62877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.440527095,1 +62878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.779156902,1 +62880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,7.416711778,1 +62881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.55174695,1 +62883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.637630815,1 +62879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,7.86019557,1 +62882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.844129712,1 +62884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.583454851,1 +62885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.864456393,1 +62886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.592857034,1 +62887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.80668757,1 +62888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.063808177,1 +62889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.683501653,1 +62890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.355087718,1 +62891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.56745214,1 +62892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.630818858,1 +62893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.070442422,1 +62894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.045914015,1 +62895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.663476349,1 +62896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.708909658,1 +62899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.08286847,1 +62897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.629477333,1 +62898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.971094545,1 +62900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.818878685,1 +62902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.403372769,1 +62901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.287265976,1 +62903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.679827088,1 +62904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.41222015,1 +62905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.766666902,1 +62906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.937642619,1 +62908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.092325881,1 +62907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.713408066,1 +62909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.890192402,1 +62910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.740956371,1 +62911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.09412407,1 +62914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.244135865,1 +62912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.872289987,1 +62913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.458885269,1 +62915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.79194311,1 +62916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.83022131,1 +62918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.365650559,1 +62919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.61650355,1 +62920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.488493031,1 +62921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.851779005,1 +62922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.77627255,1 +62917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.918766217,1 +62923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.281574921,1 +62924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.991026384,1 +62925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.617178262,1 +62926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.530843297,1 +62927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.997870578,1 +62928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.612543889,1 +62929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.029604253,1 +62930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.694027448,1 +62931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,7.203496469,1 +62932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.370673949,1 +62933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.511818061,1 +62935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.658590726,1 +62936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.140126672,1 +62937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.855048678,1 +62938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.940851994,1 +62939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.644611314,1 +62940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.248562688,1 +62934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.86371779,1 +62941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.061135914,1 +62942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.714552119,1 +62944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.588385205,1 +62943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.392482089,1 +62945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.968476137,1 +62946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.599583149,1 +62947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.16567556,1 +62948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.826262722,1 +62949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.529503022,1 +62950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.002381051,1 +62952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.986201646,1 +62953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.257133728,1 +62954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.989879978,1 +62955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.947879863,1 +62951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.225984771,1 +62956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.269124797,1 +62957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.105624776,1 +62958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.503571605,1 +62959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.763299069,1 +62961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.315106315,1 +62960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.003008681,1 +62962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.245527746,1 +62963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.70820132,1 +62964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.777152266,1 +62965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.598709372,1 +62966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.1096779,1 +62967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.83930554,1 +62968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.623243089,1 +62969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.956544285,1 +62970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.877291359,1 +62973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.910552563,1 +62971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.256810974,1 +62972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.150957035,1 +62974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.798757445,1 +62975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.819579277,1 +62977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.555041022,1 +62976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.4539831,1 +62978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.370385369,1 +62979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.047268811,1 +62980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.121541163,1 +62981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.183701476,1 +62982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.986629054,1 +62983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.843675993,1 +62984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.147914207,1 +62986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,8.241039123,1 +62985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,7.694514908,1 +62987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.88533396,1 +62988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.362003359,1 +62989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.078196728,1 +62991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.572283892,1 +62992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.989441824,1 +62993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.38197784,1 +62990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,5.810084781,1 +62994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.210677839,1 +62995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.847924247,1 +62996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.723204493,1 +62997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,6.472440225,1 +62998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,3.899435086,1 +62999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,2.896211966,1 +63000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,3,1,4.579656532,1 +72001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.414869506,1 +72003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.13385987,1 +72002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.742379677,1 +72004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.149797489,1 +72005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.652238833,1 +72007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.549362105,1 +72008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.978765001,1 +72006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.780281161,1 +72009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,8.231383835,1 +72010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.179207695,1 +72011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.692702193,1 +72012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.070140448,1 +72013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.506036687,1 +72014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.69595405,1 +72015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.795782917,1 +72016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.62002387,1 +72018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.464438139,1 +72019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.641291118,1 +72020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,7.989379252,1 +72017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.817872925,1 +72022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.253607151,1 +72021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.526326577,1 +72023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.526222063,1 +72024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.258576936,1 +72026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.030656804,1 +72027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.826528427,1 +72028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.606395034,1 +72029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.865315771,1 +72025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.321472671,1 +72030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.912651829,1 +72031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,7.191140536,1 +72032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,7.103964244,1 +72034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.422195256,1 +72033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.740653764,1 +72036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.981259355,1 +72038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.748739929,1 +72037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.730198921,1 +72035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.020353301,1 +72039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.886291482,1 +72040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.958493708,1 +72041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.651229189,1 +72043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.352945887,1 +72042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.154368515,1 +72045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.872472392,1 +72046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.728344534,1 +72047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.897097342,1 +72048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.97177432,1 +72044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.991925088,1 +72049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.19810707,1 +72052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.733465216,1 +72050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.243172691,1 +72051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.890373634,1 +72053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.540708957,1 +72054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.2590812,1 +72055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,7.611514544,1 +72056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.547749846,1 +72057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.716033844,1 +72058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.333321734,1 +72059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.346148762,1 +72060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.094590091,1 +72061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.522677127,1 +72063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.414488797,1 +72064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.401455181,1 +72062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.773638326,1 +72065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.638747913,1 +72068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.087321362,1 +72067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.221727947,1 +72066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.017631716,1 +72069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.666110926,1 +72070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.713145046,1 +72071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.300984307,1 +72073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,1.544639624,1 +72074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.356468784,1 +72072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.737999709,1 +72075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.795857868,1 +72076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.198602851,1 +72078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.02626903,1 +72077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.538190637,1 +72079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.746334657,1 +72080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.934769857,1 +72081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.86777567,1 +72084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.412538407,1 +72083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.688632347,1 +72082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.960937697,1 +72085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.672011004,1 +72086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.38691834,1 +72087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.84333306,1 +72088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.875010096,1 +72089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.134729883,1 +72090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.024550609,1 +72091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.89307089,1 +72092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.47120682,1 +72093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.554501104,1 +72094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.7914524,1 +72096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,8.811477472,1 +72095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.552984481,1 +72097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.6022689,1 +72098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.379494163,1 +72100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.340787018,1 +72099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,7.7431628,1 +72101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.147946675,1 +72102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.987550724,1 +72103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.890648428,1 +72104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.014603594,1 +72105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.888565597,1 +72106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,8.857652349,1 +72107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.208411266,1 +72108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.347243486,1 +72109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.271662727,1 +72110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.292608336,1 +72111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.238027862,1 +72112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.782371979,1 +72114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.589983958,1 +72113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.672551273,1 +72116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,7.295741071,1 +72117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.627226822,1 +72115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.422219906,1 +72119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.387361801,1 +72118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.108007162,1 +72120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.517930571,1 +72122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.563796762,1 +72123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.011582239,1 +72121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.594277185,1 +72124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.8213268,1 +72125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.549105855,1 +72126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.535369784,1 +72127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.930541501,1 +72128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.782083521,1 +72129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.914714897,1 +72131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.345717591,1 +72130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.944374824,1 +72132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.626624023,1 +72133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.553348148,1 +72134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.955043264,1 +72136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.53512859,1 +72135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.216390381,1 +72137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,7.10616252,1 +72139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.000769751,1 +72140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.012951307,1 +72141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.58052481,1 +72138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.135364641,1 +72142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.501344306,1 +72143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.234928689,1 +72145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.041184268,1 +72144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.48859612,1 +72147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.855697053,1 +72148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.651456549,1 +72149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.524105299,1 +72146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.379283867,1 +72150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.765823083,1 +72152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.443625249,1 +72154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.715448034,1 +72153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.6845699,1 +72155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.774406028,1 +72151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.037479596,1 +72156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.383468968,1 +72157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.249816752,1 +72159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.667012865,1 +72161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.945287336,1 +72158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.68932843,1 +72162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,7.601950385,1 +72160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.883469622,1 +72165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.702515384,1 +72164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.137157575,1 +72166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.561024937,1 +72163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.870242228,1 +72167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.448889672,1 +72168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.392873304,1 +72169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.114943723,1 +72172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.084646227,1 +72173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.647042613,1 +72170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.44349989,1 +72171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.566475626,1 +72174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.432616354,1 +72175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.785918109,1 +72176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.670347717,1 +72177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.964669172,1 +72179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.838296583,1 +72178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.420449064,1 +72180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.580501918,1 +72181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.345986404,1 +72183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.981243026,1 +72182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.418169057,1 +72185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.279283681,1 +72187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.894660509,1 +72186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.813083872,1 +72189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.21985883,1 +72184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.304858528,1 +72190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.712236575,1 +72188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.779429241,1 +72192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.083367108,1 +72191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.292304135,1 +72193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.163094236,1 +72194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.067081826,1 +72195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.420987184,1 +72196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.090550455,1 +72198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.874703127,1 +72197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.854200472,1 +72199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.7555221,1 +72200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.174064478,1 +72202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.012877411,1 +72201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.929124401,1 +72204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.896733443,1 +72205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.237102317,1 +72206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.510967245,1 +72203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.580434091,1 +72207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.577827028,1 +72208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.166239845,1 +72209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.690107409,1 +72210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.558696708,1 +72211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.712124688,1 +72213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.428053946,1 +72212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.423020215,1 +72214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.101189824,1 +72215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.434809842,1 +72216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.65770533,1 +72217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.200231184,1 +72219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.73007443,1 +72220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,1.831220409,1 +72218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.933623479,1 +72221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.156110399,1 +72222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.814378806,1 +72223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.163973879,1 +72224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.757672209,1 +72225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.00876851,1 +72226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.379197881,1 +72227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.356331839,1 +72228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.975371886,1 +72230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.645942986,1 +72229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.127716301,1 +72231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.866538742,1 +72232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,9.907363312,1 +72234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.225683921,1 +72233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.733863882,1 +72235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.234276775,1 +72237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.591233969,1 +72238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.336743913,1 +72236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.143754148,1 +72239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.367208906,1 +72241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.149929756,1 +72240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.490653427,1 +72242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.751335598,1 +72243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.417330079,1 +72244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.81300985,1 +72246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.570027373,1 +72245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.547738192,1 +72247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.966309858,1 +72248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.010284772,1 +72250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.120631891,1 +72249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.228253225,1 +72251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,7.693882301,1 +72252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.750969693,1 +72253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,7.174164154,1 +72254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.357640814,1 +72256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.834364762,1 +72257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.232479274,1 +72255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.587613288,1 +72259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.336930725,1 +72260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.311921443,1 +72261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.682008926,1 +72262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.360880398,1 +72263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.143204003,1 +72258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.200781921,1 +72264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.550958239,1 +72268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.074725369,1 +72267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.402186705,1 +72266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.437698494,1 +72265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.669802384,1 +72270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.698127698,1 +72271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.249494271,1 +72272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.115945553,1 +72269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.453534228,1 +72274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.506158373,1 +72275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.783518533,1 +72276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.790720838,1 +72277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.502432071,1 +72278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.072641311,1 +72279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.881728458,1 +72273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.138414116,1 +72281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.665641792,1 +72282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.502467917,1 +72280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.082285323,1 +72283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.033540964,1 +72285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.363844847,1 +72284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.592853193,1 +72286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.341222962,1 +72287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.999100849,1 +72289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.820015627,1 +72290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.617408185,1 +72291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.658813035,1 +72292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.423742369,1 +72293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.134902149,1 +72288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.126863039,1 +72295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.461499676,1 +72296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.794258226,1 +72297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.719276407,1 +72294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.109306007,1 +72300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.379073023,1 +72298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.484551588,1 +72299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.543513794,1 +72301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.356407915,1 +72302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.384602846,1 +72303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.702934839,1 +72304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.191263014,1 +72305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.742007617,1 +72307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.292510498,1 +72308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.980545673,1 +72309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.46183763,1 +72310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.082014194,1 +72306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.105000952,1 +72311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.487798532,1 +72313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.666884227,1 +72314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.254634441,1 +72312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.920859866,1 +72315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.33712055,1 +72316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.341205702,1 +72317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.575151078,1 +72319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.865767725,1 +72318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.408322518,1 +72321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.673039944,1 +72320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.560718762,1 +72322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.386175402,1 +72325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.116961212,1 +72323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.101413287,1 +72326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.745549165,1 +72324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.828094737,1 +72327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.679117269,1 +72328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.502756292,1 +72329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.542588363,1 +72330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.248146221,1 +72331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.872135299,1 +72332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.039111482,1 +72334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.085999614,1 +72333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.371565401,1 +72335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.706631512,1 +72336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.112600682,1 +72337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.10371287,1 +72339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.925080045,1 +72338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.832800472,1 +72340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.294406353,1 +72343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.117374061,1 +72342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.6500533,1 +72344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.88827038,1 +72341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.541676258,1 +72345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.406421977,1 +72346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.009425691,1 +72348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.304550075,1 +72349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.411052529,1 +72350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.933400365,1 +72347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.258727195,1 +72353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.968900103,1 +72351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.592147304,1 +72352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.632074344,1 +72354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.615706069,1 +72356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.707661481,1 +72355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.394851609,1 +72357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,7.137843095,1 +72358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.375824973,1 +72360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.806712017,1 +72359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.628211989,1 +72361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.195711712,1 +72365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.559611455,1 +72363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.099199439,1 +72364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.418018699,1 +72366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.564988875,1 +72367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.263333557,1 +72368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.754767497,1 +72362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.731132154,1 +72369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.675794532,1 +72371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.558412849,1 +72370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.278943631,1 +72373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.969845709,1 +72372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.657666105,1 +72374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.538123776,1 +72375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.544830399,1 +72376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.953400976,1 +72377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.155698101,1 +72379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.853281997,1 +72378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.144820554,1 +72380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.051394641,1 +72381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.02957377,1 +72382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.678276145,1 +72383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.115352146,1 +72384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.813525229,1 +72386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.20720332,1 +72387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.113860123,1 +72388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.98368806,1 +72385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.468908118,1 +72389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.671679733,1 +72390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.745589124,1 +72391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.439791123,1 +72393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.629135806,1 +72392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.478888572,1 +72394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.77642975,1 +72395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,7.230620375,1 +72396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.128272638,1 +72398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.253341255,1 +72399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.803144997,1 +72400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.512778252,1 +72397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.053326472,1 +72401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.623559369,1 +72402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.27506314,1 +72405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.451769065,1 +72403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.141946411,1 +72404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.310159498,1 +72407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.844286232,1 +72409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.27219095,1 +72406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.030099465,1 +72408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.852836528,1 +72410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.090071468,1 +72412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.870499224,1 +72411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.958916318,1 +72413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.535793093,1 +72414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.249670298,1 +72415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.439285854,1 +72416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.635370426,1 +72417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.548234584,1 +72418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,7.233684211,1 +72419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.919314887,1 +72420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.838515192,1 +72421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.785241711,1 +72422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.169114877,1 +72423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.894693183,1 +72424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.836187382,1 +72425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.990167473,1 +72426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.747705614,1 +72427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.717238732,1 +72428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.03685363,1 +72429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.959847063,1 +72430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.805157688,1 +72431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.733349053,1 +72432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.444127296,1 +72434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.257594327,1 +72435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.228352923,1 +72433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.904585187,1 +72436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.600222797,1 +72438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.393942655,1 +72437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.290139335,1 +72440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.169120322,1 +72441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.101264342,1 +72442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.451643525,1 +72443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.326144761,1 +72439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.40206557,1 +72444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.167889031,1 +72445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.92139688,1 +72446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,8.23266979,1 +72448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.379652857,1 +72449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.322538055,1 +72450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.83018316,1 +72447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.912191164,1 +72451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.179632296,1 +72452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.027995492,1 +72454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.365230712,1 +72453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.419524332,1 +72455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.994170654,1 +72456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.338994259,1 +72457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.181001536,1 +72458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.292065638,1 +72459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.753244806,1 +72460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.781802114,1 +72462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.374932071,1 +72463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.728274066,1 +72464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.401276292,1 +72465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.563263001,1 +72466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.546662839,1 +72467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.379089019,1 +72461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.128353703,1 +72468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.074437781,1 +72469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.969032473,1 +72470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.995077681,1 +72471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.236123988,1 +72472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.197060774,1 +72473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.211180513,1 +72474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.742964026,1 +72475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.189674062,1 +72476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.970472834,1 +72477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.955173103,1 +72478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.519819412,1 +72479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.736372175,1 +72480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.716660703,1 +72482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.004996764,1 +72481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,7.070056759,1 +72484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.087723106,1 +72486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.215343084,1 +72485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.432598881,1 +72483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.941262654,1 +72487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.815889599,1 +72488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.338653726,1 +72489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.302808111,1 +72490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.395945329,1 +72491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.083561852,1 +72493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,7.278102096,1 +72492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.046455636,1 +72495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.535555178,1 +72494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.724404597,1 +72496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.25785342,1 +72498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.380969756,1 +72497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.674975439,1 +72500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.693251747,1 +72499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.882072984,1 +72502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.944961099,1 +72503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,7.133696791,1 +72501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.730887622,1 +72504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.872723873,1 +72505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.824890739,1 +72506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.607194869,1 +72508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.003351241,1 +72509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.817420874,1 +72507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.735074831,1 +72510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.3501224,1 +72511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.799465901,1 +72512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.225329575,1 +72513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.887353635,1 +72514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.990313793,1 +72516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.27931314,1 +72517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.355854736,1 +72515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.564062477,1 +72518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.133355276,1 +72520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.55406676,1 +72519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.259025954,1 +72521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.910219583,1 +72522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.528324785,1 +72524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.651192482,1 +72525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.617350945,1 +72526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.932058298,1 +72527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.833948662,1 +72523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.633722963,1 +72528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.107041385,1 +72529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.764119804,1 +72531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.491513207,1 +72530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.572524905,1 +72532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.349928029,1 +72534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.123127802,1 +72533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.216515105,1 +72535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.599581647,1 +72536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.729295296,1 +72537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.987130817,1 +72538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.262002091,1 +72539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.790523898,1 +72540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,7.18247022,1 +72542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.237240275,1 +72543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.407696269,1 +72544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.374736253,1 +72545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.27866337,1 +72541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,7.156661288,1 +72546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.475662215,1 +72547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.526388667,1 +72548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.17977179,1 +72549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.769562816,1 +72550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.46542454,1 +72551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.184179426,1 +72552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.852482782,1 +72553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.401815786,1 +72554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.004776759,1 +72557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.461529051,1 +72555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.592916586,1 +72556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.729013625,1 +72558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.458276282,1 +72561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.637312056,1 +72562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.485965983,1 +72559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.469446092,1 +72564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.348302978,1 +72565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.414951718,1 +72563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.784951289,1 +72560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.856824437,1 +72567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,7.627323928,1 +72566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.640604212,1 +72570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.598240905,1 +72569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.996776279,1 +72571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.750794095,1 +72568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.591206975,1 +72572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.637527428,1 +72573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.614059427,1 +72574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.985846028,1 +72575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.098570099,1 +72577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.642907851,1 +72578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.441772529,1 +72579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.464289824,1 +72576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.142325039,1 +72581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.628208702,1 +72583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.540953146,1 +72582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.378167613,1 +72580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.118412388,1 +72585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.282238301,1 +72584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,7.05096512,1 +72586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.842933927,1 +72588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.781906652,1 +72589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.420579808,1 +72587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.831238317,1 +72590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.523634119,1 +72592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.727501746,1 +72594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.49601953,1 +72591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.362641815,1 +72593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.231597088,1 +72595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.222648615,1 +72597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.999218554,1 +72598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.317088599,1 +72599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.502631168,1 +72600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.835438672,1 +72596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.204232055,1 +72602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.127251428,1 +72603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.703700828,1 +72604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.660444341,1 +72601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.267966161,1 +72607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.814105357,1 +72606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.770092708,1 +72605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,7.171625208,1 +72608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.739960642,1 +72610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.406655397,1 +72609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,1.695776971,1 +72611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.693240918,1 +72612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.329892111,1 +72613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.567607515,1 +72615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.655796776,1 +72616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.421473495,1 +72617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.839166814,1 +72618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.084967637,1 +72614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.961026509,1 +72620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,7.707345938,1 +72622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.543956225,1 +72621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.382279972,1 +72623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.795699208,1 +72619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.380885093,1 +72624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.373721943,1 +72625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.752510241,1 +72626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.01302547,1 +72627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.657345948,1 +72628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.37717002,1 +72629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,1.622267408,1 +72630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.255128214,1 +72631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.825864107,1 +72633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.833521895,1 +72634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.739679176,1 +72632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.257284952,1 +72636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.098506959,1 +72638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.82151752,1 +72637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.59397839,1 +72635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.561118765,1 +72639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.871143418,1 +72641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.285223751,1 +72640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.557334643,1 +72642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.442722275,1 +72643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.602866743,1 +72644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.170052602,1 +72645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.758175689,1 +72646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.314366566,1 +72647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.03965139,1 +72648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.430026993,1 +72649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.383544111,1 +72650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.822509576,1 +72651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.453072793,1 +72652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.558754825,1 +72655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.127117339,1 +72654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.903470756,1 +72653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.817406554,1 +72656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,7.50218655,1 +72658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.23177941,1 +72657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.228296547,1 +72659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.984799671,1 +72660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.997263407,1 +72662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.580657438,1 +72661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,7.523253004,1 +72663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.81924266,1 +72664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.181828887,1 +72665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.892604547,1 +72666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.012539374,1 +72667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.416986695,1 +72668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.798928353,1 +72669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.445124605,1 +72670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.726277409,1 +72673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.415333398,1 +72672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.345777368,1 +72674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.734135226,1 +72675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.370987344,1 +72676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.846076651,1 +72677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.773357489,1 +72671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.746650812,1 +72678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.179313867,1 +72679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.59487851,1 +72680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.093185542,1 +72683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.757599077,1 +72681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.581102847,1 +72684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.316055373,1 +72682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.195135718,1 +72685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.696392511,1 +72686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,7.3836233,1 +72688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,7.006771346,1 +72687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.732652194,1 +72689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.554891329,1 +72691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,7.474125548,1 +72692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.019071084,1 +72693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,7.155037693,1 +72694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.344017658,1 +72695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,7.889744467,1 +72690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.954105492,1 +72696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.042721371,1 +72697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.199114067,1 +72700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.114426614,1 +72698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.92158487,1 +72699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.175234268,1 +72701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.036851356,1 +72702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.624673233,1 +72703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.872173807,1 +72704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.353025832,1 +72705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.12048787,1 +72706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.38985385,1 +72707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.188007113,1 +72708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.557250474,1 +72709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.464692779,1 +72710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.830976373,1 +72711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.874206657,1 +72714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.216362495,1 +72713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.432876831,1 +72715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.95731219,1 +72712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.201389066,1 +72716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,7.349335428,1 +72717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.113851831,1 +72718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.855901378,1 +72719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.835094196,1 +72720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.478198015,1 +72721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.811611881,1 +72722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.638374166,1 +72723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.523958579,1 +72724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.96660784,1 +72725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.455148952,1 +72726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.702322764,1 +72728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.835810436,1 +72727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.580171218,1 +72730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,7.272590384,1 +72731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.341788747,1 +72729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.958124096,1 +72732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,7.194768538,1 +72735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.514481814,1 +72734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.363050846,1 +72733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.538347302,1 +72736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.102038312,1 +72738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.416213581,1 +72737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.008412537,1 +72739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.517397893,1 +72740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.222230351,1 +72742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.944457099,1 +72743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.762452883,1 +72745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.249909244,1 +72741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.641084808,1 +72744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.902170045,1 +72748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.447493725,1 +72747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,7.418070915,1 +72749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.436768159,1 +72750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.625066386,1 +72751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.46331524,1 +72746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.85982258,1 +72752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.554430191,1 +72753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.760434228,1 +72754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.789263114,1 +72755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.586596141,1 +72756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.205464533,1 +72757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.086866544,1 +72758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.170727901,1 +72759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.577661914,1 +72761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.24762349,1 +72760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.808682718,1 +72763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.000569153,1 +72762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.607376934,1 +72764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.171296257,1 +72765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.839031792,1 +72767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.260225776,1 +72768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.498000794,1 +72769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.681300749,1 +72770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.031326086,1 +72766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.928365744,1 +72771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.383960282,1 +72774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.792611803,1 +72773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.276848835,1 +72772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.324325682,1 +72776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,7.306483789,1 +72775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.284117609,1 +72777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.482407953,1 +72779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.027703761,1 +72778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.227789249,1 +72780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.284094542,1 +72781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.176944002,1 +72784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.919456541,1 +72783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.790575108,1 +72785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.638077691,1 +72786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.259545119,1 +72782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.399967688,1 +72787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.700748389,1 +72788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.059546149,1 +72790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.157530443,1 +72789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.868135295,1 +72793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.634911026,1 +72792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.611412771,1 +72794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.645293105,1 +72791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.80588259,1 +72795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,7.245704777,1 +72796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.349024677,1 +72797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.114299496,1 +72799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.365686993,1 +72800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.240649339,1 +72801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.045435186,1 +72798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.163203919,1 +72803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.790182344,1 +72804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.099847127,1 +72805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.871240208,1 +72802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.452626468,1 +72806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.503528774,1 +72807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.265709236,1 +72808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.166558689,1 +72809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.011663996,1 +72810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.020103671,1 +72811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.726179381,1 +72813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.905739439,1 +72814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.397606416,1 +72815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.397141835,1 +72816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.664664631,1 +72817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.810289542,1 +72812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.31163725,1 +72818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.547527797,1 +72819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.154601669,1 +72821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.124513224,1 +72820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.595456487,1 +72822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.031803945,1 +72824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.863853228,1 +72823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.301401812,1 +72825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.775967617,1 +72826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.882036843,1 +72827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.24780339,1 +72828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.576026325,1 +72829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.96939678,1 +72830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.750599738,1 +72831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.923570411,1 +72832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.477808513,1 +72833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.776292482,1 +72835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.102334953,1 +72834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.48835126,1 +72836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.95563793,1 +72837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.610659353,1 +72838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.687443165,1 +72840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.552374413,1 +72839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.758181828,1 +72841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.617482664,1 +72842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.200116996,1 +72844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.585165558,1 +72843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.387417393,1 +72845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.895437921,1 +72846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.157212464,1 +72848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.096476749,1 +72847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.222372378,1 +72849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.06872774,1 +72850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.253701924,1 +72851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.432333258,1 +72852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.949796009,1 +72853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.623570401,1 +72854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.647434626,1 +72855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.921623511,1 +72856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.939937819,1 +72857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.586277177,1 +72858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,9.099738439,1 +72859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,8.052903601,1 +72860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.075288102,1 +72861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.009407897,1 +72863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.021270516,1 +72862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.742963127,1 +72864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.540078325,1 +72866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.575864373,1 +72865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.107850104,1 +72867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.962024426,1 +72868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.068044821,1 +72869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.963118107,1 +72871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.703302184,1 +72870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.149171378,1 +72873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.453191189,1 +72874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.927625506,1 +72872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.917292863,1 +72875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.613382383,1 +72876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.752881574,1 +72877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.105754794,1 +72879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.054189117,1 +72878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.495340022,1 +72881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.338582829,1 +72880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.504401752,1 +72883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.735053722,1 +72882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.961187168,1 +72884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.82691658,1 +72885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.384232597,1 +72888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.833953231,1 +72887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.139880701,1 +72889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.345155285,1 +72886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.429913517,1 +72890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.679604213,1 +72892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.505124203,1 +72891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.501307776,1 +72894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.840026877,1 +72893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.494282565,1 +72896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.526633716,1 +72895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.110254348,1 +72898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.933629778,1 +72899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.317849389,1 +72897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.687061985,1 +72900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.221918663,1 +72901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.304810671,1 +72903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.74713941,1 +72902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.927454568,1 +72904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.633602807,1 +72906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.693996122,1 +72908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.469411326,1 +72907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.992423589,1 +72909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.741258255,1 +72905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.291299723,1 +72910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.548932447,1 +72911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.353639546,1 +72913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.322626392,1 +72912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.101563454,1 +72914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.918723112,1 +72916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.14330504,1 +72917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.15144551,1 +72915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.31030124,1 +72918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.568972331,1 +72919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.528076364,1 +72921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.898260724,1 +72920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.122180743,1 +72922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.707651342,1 +72926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.209415268,1 +72924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.156096584,1 +72925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.834791521,1 +72923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.074840257,1 +72929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.801216708,1 +72927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.460759124,1 +72930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.754943773,1 +72931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.712003925,1 +72932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.034786789,1 +72928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.506394774,1 +72933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.602166264,1 +72934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.564259516,1 +72935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.50962314,1 +72936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.393253581,1 +72937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.149739221,1 +72938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.275214035,1 +72939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.063098605,1 +72941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.019153603,1 +72940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.625242207,1 +72942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.169481341,1 +72945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.330738923,1 +72943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.591770821,1 +72944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.666175935,1 +72946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.694493381,1 +72948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.520405371,1 +72949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.545834351,1 +72950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.97533436,1 +72951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.413578734,1 +72952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.829722406,1 +72954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.200211529,1 +72953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.890596201,1 +72947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.321717875,1 +72955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.760838903,1 +72956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.05426568,1 +72957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.223709378,1 +72958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.603064716,1 +72959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.976803825,1 +72960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.786700392,1 +72961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.060333328,1 +72962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.461821795,1 +72964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.266443377,1 +72963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.661491224,1 +72966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.194536729,1 +72965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.964396299,1 +72968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.757870938,1 +72967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.607009241,1 +72969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.029651637,1 +72971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.828245483,1 +72972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.408773468,1 +72973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.311655208,1 +72974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.583463565,1 +72970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.761696211,1 +72975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.530014355,1 +72976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.528847696,1 +72978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.723729542,1 +72977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.372636532,1 +72979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.43529986,1 +72980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.12730865,1 +72983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.071448024,1 +72981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.48426442,1 +72982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.996786187,1 +72985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,7.266596783,1 +72987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.276613365,1 +72984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.050596328,1 +72986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.305771606,1 +72990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.831483726,1 +72988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.691678115,1 +72989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,5.571025919,1 +72991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.359950284,1 +72993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,2.180694154,1 +72994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.75667171,1 +72995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,8.180349158,1 +72996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,6.53501284,1 +72997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.398267926,1 +72998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.420448312,1 +72992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.741665728,1 +72999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,3.369245412,1 +73000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,3,1,4.176299409,1 +82001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.172912525,1 +82002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.451388133,1 +82003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.056881742,1 +82004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.148128925,1 +82005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.314958496,1 +82007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.837167206,1 +82008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.64956468,1 +82009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.482659642,1 +82006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.901647981,1 +82010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.883630905,1 +82011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.250462028,1 +82012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.514455129,1 +82013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.936988068,1 +82015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.458746255,1 +82014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.633144722,1 +82016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.199758209,1 +82017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.514821817,1 +82018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.317972455,1 +82019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.042455588,1 +82020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.231578775,1 +82022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.015531886,1 +82023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,7.495576431,1 +82021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.786410779,1 +82024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.945528915,1 +82026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.734597894,1 +82025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.302758305,1 +82028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.361802303,1 +82030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.231268894,1 +82031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.237467024,1 +82027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.699121298,1 +82032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.102491043,1 +82033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.198685776,1 +82029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.583332255,1 +82035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.168069936,1 +82036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.93896774,1 +82034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.404378573,1 +82037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.26379239,1 +82039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.811887802,1 +82040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.918554022,1 +82041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.983801731,1 +82038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.688116785,1 +82044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.431016193,1 +82045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.99120331,1 +82042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.306162992,1 +82043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.459390414,1 +82048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.540014513,1 +82047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.682452947,1 +82046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.304115707,1 +82050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.482693114,1 +82051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.720574627,1 +82049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.649802343,1 +82052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.414100164,1 +82054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.894281929,1 +82055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.82815774,1 +82056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.421467029,1 +82053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.609183354,1 +82059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.891316698,1 +82057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.214833488,1 +82058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.335791848,1 +82060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.199917185,1 +82062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.275870307,1 +82063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.030877522,1 +82064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.622477121,1 +82065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.933909301,1 +82061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.097170221,1 +82066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.378040246,1 +82067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.554351025,1 +82068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.457465423,1 +82069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.43602109,1 +82071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.598500603,1 +82072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.6604917,1 +82073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.731242147,1 +82070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.462327948,1 +82076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.062520137,1 +82074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.1054164,1 +82075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.218388531,1 +82077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.06677061,1 +82078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.230299964,1 +82079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.122528309,1 +82080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.325858099,1 +82081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.792489545,1 +82083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.307389445,1 +82084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.289931066,1 +82085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.988740692,1 +82086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.574475732,1 +82087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.43724971,1 +82082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.927302866,1 +82091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.807204558,1 +82090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.298670622,1 +82088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.326658373,1 +82089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.457742455,1 +82092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.549140153,1 +82093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.924926107,1 +82095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.40720731,1 +82094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.237000213,1 +82096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.151259978,1 +82097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.379623603,1 +82098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.277658714,1 +82099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.040530971,1 +82101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.66937532,1 +82102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.713071661,1 +82103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.514353183,1 +82100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.131602914,1 +82105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.884125558,1 +82104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.554074623,1 +82107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.779906688,1 +82106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,1.278052155,1 +82108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.569885144,1 +82109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.133099236,1 +82110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.44733619,1 +82111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.779941688,1 +82113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.180904881,1 +82112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.229223824,1 +82114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.572438782,1 +82116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.438491976,1 +82115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.131036598,1 +82117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.144174466,1 +82118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.564333062,1 +82121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.670137947,1 +82119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.819575969,1 +82122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.311785231,1 +82123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.071563356,1 +82124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.393282925,1 +82120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.931206117,1 +82125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.467131907,1 +82126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.424880201,1 +82127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.53698512,1 +82129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.562193987,1 +82131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.160347111,1 +82130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.741923823,1 +82128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.37486773,1 +82132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.139245073,1 +82133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.234564825,1 +82135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.562596717,1 +82134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.643093614,1 +82137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.773471612,1 +82136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.492554294,1 +82139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.041642211,1 +82138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.024303075,1 +82140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.407027522,1 +82141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,1.369138319,1 +82142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.177605024,1 +82144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.607301517,1 +82145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.460488049,1 +82146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.47565244,1 +82147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.969671088,1 +82148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.654638888,1 +82143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.26462101,1 +82149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.096760473,1 +82150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.079675999,1 +82151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.313537269,1 +82152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.98280974,1 +82153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.628504503,1 +82154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.940694137,1 +82155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.555482953,1 +82156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.731620955,1 +82157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.064085035,1 +82158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.767865919,1 +82159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,7.421141428,1 +82160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.278182507,1 +82161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.63123573,1 +82162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.587972532,1 +82163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.971529101,1 +82165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.834157232,1 +82166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,7.175423944,1 +82167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.177431248,1 +82168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.848311321,1 +82164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.917317778,1 +82170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.440019296,1 +82169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.91622835,1 +82171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.182742005,1 +82173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.526189526,1 +82172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.480839649,1 +82174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.320119065,1 +82175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.408938174,1 +82177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.637568611,1 +82176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.982237066,1 +82178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.806850729,1 +82179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.082933603,1 +82181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.184009273,1 +82182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.763348808,1 +82183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.353240395,1 +82184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.444542345,1 +82185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.59976497,1 +82180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.774985442,1 +82186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.331559872,1 +82187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.148745608,1 +82188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.457409512,1 +82190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.182641964,1 +82191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.905528676,1 +82192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.606533384,1 +82189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.800954675,1 +82193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.595666295,1 +82195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.059745079,1 +82194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.839836946,1 +82196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.657212759,1 +82198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.479759217,1 +82199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.53346086,1 +82200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.375863761,1 +82197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.616593397,1 +82201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.94719208,1 +82204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.971824352,1 +82202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.983792456,1 +82205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.619035348,1 +82206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.685385885,1 +82207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.548172619,1 +82208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.63471105,1 +82203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.711058093,1 +82209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.462967471,1 +82210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.010897398,1 +82212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.382779808,1 +82211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.404995929,1 +82214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.601695115,1 +82213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.517217507,1 +82215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.524367865,1 +82216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.972191209,1 +82217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.976838123,1 +82218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.048006082,1 +82220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.114781483,1 +82219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.252310422,1 +82221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,1.726267963,1 +82222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.997677668,1 +82223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.300415611,1 +82225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.311619852,1 +82226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.710579012,1 +82224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.899365601,1 +82227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.185089511,1 +82228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.020476151,1 +82229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.039659711,1 +82230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.205488323,1 +82231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.194952391,1 +82232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.480805942,1 +82234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.929032303,1 +82235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.857611756,1 +82233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.116159644,1 +82236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.087025984,1 +82237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.141423803,1 +82239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.913919874,1 +82238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.194366689,1 +82241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.029015166,1 +82243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.827866326,1 +82242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.412778966,1 +82244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.121759449,1 +82240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.196519446,1 +82246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.928265926,1 +82247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.512935659,1 +82248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.322294399,1 +82249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.347139906,1 +82245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.266650405,1 +82250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.271482575,1 +82251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.365949492,1 +82252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.610335448,1 +82254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.835330358,1 +82253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,7.42248555,1 +82256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.981446706,1 +82257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.205315837,1 +82258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,7.209270215,1 +82255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.584341865,1 +82259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.329021423,1 +82260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.663801153,1 +82262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.271975757,1 +82261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.717367975,1 +82263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.780626879,1 +82266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,8.361490604,1 +82265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.166592011,1 +82267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.071080346,1 +82264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.947921912,1 +82268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.896523909,1 +82269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.228543413,1 +82270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.130925823,1 +82272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.473534352,1 +82271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.813767961,1 +82273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.64292191,1 +82274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.934772354,1 +82276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.871572388,1 +82275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.442562232,1 +82277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.393119834,1 +82278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.131804105,1 +82279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.997939691,1 +82280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.83524174,1 +82281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.318253749,1 +82282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.408406606,1 +82284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.980291508,1 +82286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.345989463,1 +82285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.207262801,1 +82287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.598987162,1 +82283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.799560131,1 +82288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.755834905,1 +82289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.149155891,1 +82290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.338064308,1 +82291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.366338865,1 +82292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.770164659,1 +82293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.441897459,1 +82295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.590389165,1 +82294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.803634228,1 +82296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.590541035,1 +82297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.266676354,1 +82298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,1.291308368,1 +82299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.408633501,1 +82300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,7.92174482,1 +82301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.103733535,1 +82302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.046402021,1 +82304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.043042823,1 +82303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.370666727,1 +82306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.958866172,1 +82307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.898517614,1 +82308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.219015365,1 +82309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.416094499,1 +82310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.537070073,1 +82311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.445656164,1 +82305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.406506085,1 +82312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.236391539,1 +82314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.266743637,1 +82313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.755329498,1 +82315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.369351472,1 +82317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.786857234,1 +82316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.701283276,1 +82318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.345853707,1 +82319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.715997535,1 +82320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.996722359,1 +82322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.101447946,1 +82321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.414892759,1 +82323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.737799658,1 +82324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.535277418,1 +82326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.690523527,1 +82325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.386231284,1 +82328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.255485121,1 +82329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.31937831,1 +82330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.533713296,1 +82327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.617326386,1 +82331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.543286151,1 +82334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.292148019,1 +82333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.202541715,1 +82332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.931452453,1 +82335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.570243896,1 +82338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.21931508,1 +82336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.172465457,1 +82337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.862705278,1 +82339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.436120073,1 +82340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.661333219,1 +82342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.254824832,1 +82343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.564499023,1 +82341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.094847615,1 +82344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.682853082,1 +82345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.986630597,1 +82346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.909376589,1 +82347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.541058291,1 +82348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.044121156,1 +82349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.005020494,1 +82350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.483579557,1 +82351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.942223065,1 +82352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.54872708,1 +82353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.488705179,1 +82354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.783636535,1 +82356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.892083158,1 +82355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.83465049,1 +82357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.588887337,1 +82358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.107845153,1 +82359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.559260305,1 +82361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.131206852,1 +82362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.413305472,1 +82363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.598702842,1 +82360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,0.927215363,1 +82364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.589339458,1 +82365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.868557045,1 +82366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.973261076,1 +82368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.193022047,1 +82367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.385401698,1 +82369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.837139485,1 +82370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.751591313,1 +82371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.449475914,1 +82372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.147307808,1 +82373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.480468548,1 +82374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.295533264,1 +82375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.015807115,1 +82377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.486635392,1 +82378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.324822055,1 +82376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.095174262,1 +82379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.157788045,1 +82381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.83269968,1 +82380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.262002845,1 +82382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.095664839,1 +82383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.397908228,1 +82385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.107485524,1 +82384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.235541306,1 +82387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.695120844,1 +82388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.050920364,1 +82389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.982208385,1 +82390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.938098084,1 +82391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.396996742,1 +82386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.745260324,1 +82392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.086840202,1 +82393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.666970563,1 +82395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.631288775,1 +82394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.040827773,1 +82396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.65143038,1 +82397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.513643277,1 +82399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.187581413,1 +82398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.371417097,1 +82400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.329643714,1 +82401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.705290947,1 +82402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.619808385,1 +82405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.030850322,1 +82406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.610411309,1 +82403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.205136217,1 +82404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,7.154221557,1 +82407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.407883552,1 +82409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,8.658138754,1 +82410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.955637405,1 +82408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.602943311,1 +82412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.331618484,1 +82411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,7.885535248,1 +82413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.695983233,1 +82414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.939398905,1 +82415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.589269607,1 +82416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.729873774,1 +82417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.929754947,1 +82418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.398165137,1 +82419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.526521226,1 +82420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.252358008,1 +82421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,7.645602542,1 +82422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.25157155,1 +82424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.159431905,1 +82423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.301970954,1 +82425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.510131912,1 +82426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.408683048,1 +82427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.426046238,1 +82428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.85013463,1 +82429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,7.035684062,1 +82430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.781327921,1 +82431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.340389443,1 +82432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.835673944,1 +82433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.716142873,1 +82434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.443949332,1 +82435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.219663766,1 +82437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.941724162,1 +82436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.589782589,1 +82439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,7.379413259,1 +82438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,1.41424411,1 +82440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.134339549,1 +82442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.75859405,1 +82441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.681623834,1 +82444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.487970725,1 +82446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.226958912,1 +82445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.393708517,1 +82447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.640937367,1 +82443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.717710986,1 +82448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.054406089,1 +82449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.11398999,1 +82450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.87969722,1 +82451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.584904748,1 +82452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.434405894,1 +82453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.530584786,1 +82454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.699257039,1 +82455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.401977325,1 +82456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.765047477,1 +82457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,7.509640143,1 +82459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.085339058,1 +82458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.756809103,1 +82460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.586767521,1 +82461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.893548105,1 +82463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.839247321,1 +82464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.233399632,1 +82465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.89407244,1 +82466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.694767571,1 +82462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.857295586,1 +82467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.567355283,1 +82468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.660156106,1 +82469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.549212442,1 +82470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.924209297,1 +82471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.615198022,1 +82472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.880663605,1 +82473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.033634834,1 +82474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.221337977,1 +82475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.872810909,1 +82476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.261375187,1 +82477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.769564233,1 +82478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.116384249,1 +82481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.141437782,1 +82479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.076458918,1 +82480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.505728117,1 +82485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.516120648,1 +82484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.092041141,1 +82483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.952671427,1 +82482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.925518861,1 +82488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.118535563,1 +82486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.679755424,1 +82489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.154500428,1 +82487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.43557485,1 +82490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.968108714,1 +82491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.974224617,1 +82493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.253825591,1 +82492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.366209592,1 +82494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.271190254,1 +82495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.491519134,1 +82496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.872780861,1 +82497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.805427104,1 +82498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.411973564,1 +82499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.277372859,1 +82500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.014561497,1 +82502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.875463243,1 +82503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.979136057,1 +82504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.483155552,1 +82501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,7.714721153,1 +82507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.001108464,1 +82506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.283554775,1 +82505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.097173323,1 +82508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.943550385,1 +82509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.867961125,1 +82510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.664545508,1 +82511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.960996651,1 +82512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.981041965,1 +82513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.612374291,1 +82514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.938545989,1 +82515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.686017515,1 +82516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.504755402,1 +82517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.77960633,1 +82518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.172340884,1 +82520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.922262188,1 +82521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.124348067,1 +82522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,7.25656556,1 +82519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.794723951,1 +82523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.114548071,1 +82524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.355605066,1 +82525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,8.940582077,1 +82526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.277528028,1 +82527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.659767552,1 +82528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.330645117,1 +82529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.529851768,1 +82530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.66816023,1 +82534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.501564609,1 +82532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.175464727,1 +82533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.738279077,1 +82531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.366710563,1 +82535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.92262898,1 +82536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.88662912,1 +82537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.264493246,1 +82538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.089345245,1 +82540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.897428522,1 +82541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.588633698,1 +82542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.061185394,1 +82543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.849652965,1 +82544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.01929209,1 +82539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,7.235338697,1 +82545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.688304525,1 +82546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.504501108,1 +82548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.119801748,1 +82547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.394402917,1 +82549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.031121126,1 +82551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.630430791,1 +82550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.052932864,1 +82552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.298038258,1 +82553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.129255713,1 +82554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.708301487,1 +82555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.460572664,1 +82556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.583078483,1 +82557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.13072032,1 +82559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.568167683,1 +82560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.837479222,1 +82558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.127314846,1 +82561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,8.056394675,1 +82562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.219159727,1 +82563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.633186022,1 +82564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,8.163878544,1 +82565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.027347766,1 +82566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.639148358,1 +82567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.777810854,1 +82569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.693730355,1 +82568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.247083916,1 +82570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.249928569,1 +82571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.771031946,1 +82572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.903131974,1 +82573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.132166019,1 +82574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.612990252,1 +82575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.142194516,1 +82577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.305659583,1 +82576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.454317969,1 +82578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.143594676,1 +82579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.497545887,1 +82582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.728018351,1 +82580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.255567477,1 +82583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,7.440905399,1 +82584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.020486837,1 +82581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,7.868500401,1 +82585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.422450047,1 +82586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.72156961,1 +82587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.827020679,1 +82588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.327510575,1 +82589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,1.942786428,1 +82590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.311380513,1 +82591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.425506272,1 +82593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.646624844,1 +82594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.871772859,1 +82592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.774736504,1 +82595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.898309981,1 +82596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.032086592,1 +82597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.037650822,1 +82598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,7.776056903,1 +82599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.287364828,1 +82600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.684515573,1 +82601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.287655561,1 +82603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.981680289,1 +82604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,7.116639951,1 +82605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.269256582,1 +82606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.29365848,1 +82607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.448162766,1 +82608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,7.178194816,1 +82602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.749268857,1 +82611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.747013101,1 +82610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.97149946,1 +82612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.687476869,1 +82609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.519385285,1 +82613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.579752101,1 +82614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.61747033,1 +82616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.292748722,1 +82615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.784987855,1 +82617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.074357739,1 +82618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.41916181,1 +82619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.495050701,1 +82621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.534790813,1 +82622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.925656176,1 +82623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.02922825,1 +82620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.709503768,1 +82625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.588926568,1 +82626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.176099961,1 +82624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,1.797224634,1 +82627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.588009889,1 +82628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.266230657,1 +82629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.541186535,1 +82631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.377935126,1 +82630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.253239888,1 +82632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.957869754,1 +82633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.887299474,1 +82634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.927340527,1 +82635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.246420382,1 +82636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.641256644,1 +82637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.346863053,1 +82639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.179090797,1 +82640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.776737601,1 +82638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.663967084,1 +82641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.102911346,1 +82642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.246696369,1 +82644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.902670774,1 +82643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.474228921,1 +82645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.446114416,1 +82646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.339004808,1 +82647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.391075906,1 +82648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.87167481,1 +82649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.058646455,1 +82650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.733752664,1 +82652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.535634483,1 +82651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.712333783,1 +82653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.303160508,1 +82654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.044431777,1 +82655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.112598312,1 +82657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.460795978,1 +82658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,9.165275254,1 +82656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.496394655,1 +82659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.147874222,1 +82660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,8.668034392,1 +82661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.575428162,1 +82662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.837735633,1 +82663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.392280711,1 +82664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.064788678,1 +82665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.633516184,1 +82666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.865341591,1 +82667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.144831029,1 +82668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.311920662,1 +82669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.628304193,1 +82670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.346833593,1 +82671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.648729134,1 +82672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.274996159,1 +82673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.800225546,1 +82675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,7.28657139,1 +82677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.721006016,1 +82676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.388772094,1 +82678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.347748454,1 +82680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,7.895186582,1 +82681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.994760898,1 +82679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.472981153,1 +82674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.2443767,1 +82682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.219430248,1 +82683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.057592211,1 +82685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.289099828,1 +82684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.596255683,1 +82686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.871637849,1 +82688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.211853969,1 +82687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.587240865,1 +82689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,1.497199319,1 +82690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.173713516,1 +82691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.004527646,1 +82692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.396649931,1 +82694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.217273152,1 +82696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.285435416,1 +82693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.274907595,1 +82697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.582511805,1 +82698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.695689525,1 +82699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.232271198,1 +82700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.364181211,1 +82695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.686577283,1 +82702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.409561046,1 +82701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.585527208,1 +82704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.504381022,1 +82705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.009207049,1 +82703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.847684071,1 +82706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.301527544,1 +82707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.332606616,1 +82709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.279219217,1 +82710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.806859559,1 +82711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.769898424,1 +82708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,7.194095393,1 +82712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.110513715,1 +82713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.949737847,1 +82715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.606319481,1 +82716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.555679484,1 +82717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.909175798,1 +82718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.262968428,1 +82714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.083957706,1 +82721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.804292949,1 +82720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.094144899,1 +82719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.058375716,1 +82722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.623219508,1 +82723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.207444084,1 +82724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.609566174,1 +82725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.197321503,1 +82726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.568012109,1 +82728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.426353431,1 +82729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.144442223,1 +82731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.422013045,1 +82727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.663957369,1 +82732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.894144742,1 +82730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.373378095,1 +82734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.156831339,1 +82735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.234713804,1 +82733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.044085009,1 +82737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.940617625,1 +82736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.109595009,1 +82738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.617612883,1 +82739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,7.100251892,1 +82740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.607366822,1 +82741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.513148751,1 +82742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,7.158818294,1 +82743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.504288491,1 +82745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.419599159,1 +82746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.5651409,1 +82747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.794908766,1 +82744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.665557757,1 +82748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.22670638,1 +82749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.92211118,1 +82751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.478138499,1 +82750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.1995274,1 +82753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.649338565,1 +82752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.115754131,1 +82754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.685985666,1 +82755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.405737979,1 +82756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.216877998,1 +82757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.59629462,1 +82758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.942269006,1 +82760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.384817627,1 +82759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.903501548,1 +82761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.789421161,1 +82764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.173210096,1 +82763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,7.864569784,1 +82762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.416088651,1 +82766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.670553253,1 +82765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.176576245,1 +82767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.109131629,1 +82769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.717008468,1 +82768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.322568593,1 +82770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.806630993,1 +82771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.528344119,1 +82773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.076814895,1 +82772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.473435565,1 +82774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.785195703,1 +82775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.442098466,1 +82776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.153252931,1 +82777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.638588036,1 +82778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.076501322,1 +82779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.720173858,1 +82780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.068279303,1 +82781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.288599532,1 +82783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.573132627,1 +82784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.948754014,1 +82785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.140090203,1 +82787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.79747338,1 +82786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.132945309,1 +82788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,7.148476354,1 +82782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.568262089,1 +82789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.009983417,1 +82791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.557248752,1 +82790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.77905671,1 +82793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.577783043,1 +82794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.190162398,1 +82792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.330208116,1 +82795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.844753739,1 +82798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,1.985271938,1 +82796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.08768257,1 +82797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.834487239,1 +82799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.573770523,1 +82801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,7.076469901,1 +82800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.49433831,1 +82802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.616786541,1 +82803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.172742764,1 +82804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.76785725,1 +82806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.618603842,1 +82807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.273808075,1 +82808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.565529073,1 +82809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.943224408,1 +82805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.68960712,1 +82810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.235819495,1 +82811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.503928771,1 +82812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.9139748,1 +82813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.940398888,1 +82814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.413264652,1 +82816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.257584179,1 +82815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,1.82041288,1 +82817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.597256733,1 +82818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.425264528,1 +82819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.905050358,1 +82820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.462766692,1 +82823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.2269789,1 +82824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.198227299,1 +82822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.197230434,1 +82821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,7.069737941,1 +82827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.89421498,1 +82825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,8.244757312,1 +82826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.661757689,1 +82828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.612446136,1 +82829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.282135653,1 +82830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.122203602,1 +82831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.243607508,1 +82832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.100550942,1 +82833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.17840828,1 +82834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.414056733,1 +82835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.72006592,1 +82836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.613113683,1 +82837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.053920905,1 +82838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.916496167,1 +82839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.738181257,1 +82841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.974326679,1 +82842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.267126513,1 +82843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.027122457,1 +82840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.296090613,1 +82844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.653908224,1 +82845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.022661587,1 +82846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.848484513,1 +82847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.620134599,1 +82848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.449347071,1 +82850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.557098484,1 +82849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.859725971,1 +82852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.325855922,1 +82851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.142150253,1 +82853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.367703962,1 +82854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.265367902,1 +82855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.434482032,1 +82856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.437967136,1 +82857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.073601226,1 +82858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.847833353,1 +82859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.531224773,1 +82861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.994643867,1 +82862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.253178845,1 +82863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.675210433,1 +82860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.272587215,1 +82864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.814220001,1 +82865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.007899391,1 +82866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.474227829,1 +82868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.771362583,1 +82869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.721962949,1 +82867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.655644269,1 +82870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.37788047,1 +82871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.421623302,1 +82873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.235575787,1 +82874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.3589265,1 +82872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.001755092,1 +82875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.353987545,1 +82876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.619102032,1 +82877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.565329632,1 +82878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.951246682,1 +82879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.536614097,1 +82881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.929546984,1 +82882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.528971016,1 +82883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.318079899,1 +82884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.47659922,1 +82885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.284509266,1 +82880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,8.164359393,1 +82886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.948555858,1 +82887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.215239857,1 +82889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.136914105,1 +82888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.197007551,1 +82890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.817111485,1 +82892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.783945824,1 +82891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.587071916,1 +82893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.446849021,1 +82894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.471225556,1 +82895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.730693197,1 +82896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.449237028,1 +82897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.003211481,1 +82898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.522514116,1 +82900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.155765345,1 +82901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.043276215,1 +82902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.491869685,1 +82903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.728390919,1 +82899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.490057337,1 +82905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.584586073,1 +82904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.55551676,1 +82906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.796477994,1 +82909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.626411285,1 +82907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.740044543,1 +82910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.697551364,1 +82911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.524394602,1 +82912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.177575193,1 +82913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.930400723,1 +82908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.81010173,1 +82914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.676519964,1 +82915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.975872043,1 +82918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.114702792,1 +82916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.029111669,1 +82917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.684486405,1 +82919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.799764676,1 +82921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.968085587,1 +82920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.072880821,1 +82922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.632113913,1 +82923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.825149781,1 +82924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.778932129,1 +82925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.773648139,1 +82926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.623659666,1 +82928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.749806458,1 +82929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.671189875,1 +82927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.178542127,1 +82932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.020857922,1 +82931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.304356614,1 +82933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.275503398,1 +82930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.292963432,1 +82934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.454919648,1 +82937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.09026807,1 +82936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.95470518,1 +82935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.889362374,1 +82938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.75560189,1 +82939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.333484321,1 +82941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.127402564,1 +82942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.10729135,1 +82940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.984791166,1 +82943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.294517635,1 +82944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.119037293,1 +82945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.644097129,1 +82946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.425380152,1 +82948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.100994514,1 +82947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.993070189,1 +82949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.199766607,1 +82950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.509987538,1 +82951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.761137969,1 +82952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.261416213,1 +82953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.520743253,1 +82955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.680863162,1 +82956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.873319373,1 +82954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.141569467,1 +82957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,7.296560463,1 +82958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.027731218,1 +82959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.355752507,1 +82961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.733881684,1 +82960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.131087529,1 +82962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.587408193,1 +82965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.811690173,1 +82964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.674457244,1 +82963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.980157027,1 +82966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.91869558,1 +82968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.602328774,1 +82969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.978814037,1 +82970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.275532261,1 +82971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.63659526,1 +82972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.588055258,1 +82967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.120864017,1 +82973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,2.854819218,1 +82974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.206229877,1 +82975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.122040691,1 +82977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.977847794,1 +82976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.121113507,1 +82978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.362167268,1 +82979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.587816718,1 +82981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,9.487185873,1 +82980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.582341453,1 +82982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.423588371,1 +82983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.18088007,1 +82984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.832164275,1 +82985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,1.749963437,1 +82986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.097770127,1 +82987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,1.947070115,1 +82990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.368438296,1 +82989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.806676982,1 +82991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.497291697,1 +82992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.851198293,1 +82993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.883718171,1 +82994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.313174523,1 +82988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,6.240674724,1 +82998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.843635738,1 +82996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,5.614632217,1 +82997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,3.705688977,1 +82995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.932855007,1 +83000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.260424275,1 +82999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,3,1,4.950329666,1 +92001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.371848558,1 +92002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.992171073,1 +92004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.331621728,1 +92005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.821682756,1 +92003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.837810418,1 +92006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.332424203,1 +92007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.398826755,1 +92008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.845350557,1 +92010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.111345351,1 +92011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.63488806,1 +92012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,7.068620117,1 +92013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.910733329,1 +92009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.354741355,1 +92014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.072143502,1 +92015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.727402209,1 +92016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.252197124,1 +92017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.312680449,1 +92019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.075725231,1 +92018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.826965382,1 +92020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.248268148,1 +92021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.489934983,1 +92022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.718802702,1 +92023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.700185272,1 +92024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.01819091,1 +92025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.188665029,1 +92026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,7.575095895,1 +92027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.641847133,1 +92028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.62067641,1 +92030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,8.613814547,1 +92031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.46128472,1 +92032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.676601615,1 +92033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.461507098,1 +92029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.450955815,1 +92034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.140713735,1 +92035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,7.142305132,1 +92036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.953008416,1 +92037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.21782932,1 +92038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.443850988,1 +92039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.114031496,1 +92040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.183285631,1 +92041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,1.673269541,1 +92042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.031110264,1 +92043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.584633858,1 +92045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,7.321133247,1 +92044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.898329211,1 +92046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.019900807,1 +92047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.11565914,1 +92048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.631717861,1 +92050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.939320141,1 +92051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.74474341,1 +92049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,7.175931279,1 +92052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.880637787,1 +92053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,7.837218058,1 +92054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.936606772,1 +92056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.306873847,1 +92055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.995733958,1 +92057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.191383466,1 +92059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.870933867,1 +92058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.387995488,1 +92060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.962998617,1 +92061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.985326313,1 +92062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.225495939,1 +92063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.036888772,1 +92066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.057763785,1 +92064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.216256143,1 +92065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.866942682,1 +92067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.370222784,1 +92070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.514968123,1 +92068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.807636697,1 +92071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.771127513,1 +92069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.545435167,1 +92073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.650700911,1 +92072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.973389982,1 +92074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.772857522,1 +92075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.909018892,1 +92077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,7.34618283,1 +92076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.633884989,1 +92078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.930411868,1 +92079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.660961025,1 +92080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.764117532,1 +92081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.195471366,1 +92082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.629889824,1 +92084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.571308872,1 +92085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.115420016,1 +92086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.778595956,1 +92087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.597243764,1 +92088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.112717045,1 +92089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.602679149,1 +92083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.404292699,1 +92090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.529111395,1 +92091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.068299798,1 +92092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.706251507,1 +92093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.799270135,1 +92094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.584097947,1 +92095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.577834479,1 +92097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.029677249,1 +92096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.031636004,1 +92098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.902920689,1 +92099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.941995514,1 +92101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.271398283,1 +92100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.963609475,1 +92102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,7.473445057,1 +92103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.333111951,1 +92104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.194437761,1 +92106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.900233804,1 +92107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.458836931,1 +92108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.070570657,1 +92105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.514452033,1 +92109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.831791215,1 +92110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.428491968,1 +92112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.817584726,1 +92111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.011425374,1 +92113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.590930663,1 +92114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.295745233,1 +92116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.467647424,1 +92117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.825085299,1 +92115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.349915278,1 +92118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.551143608,1 +92120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.156253149,1 +92119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.076781423,1 +92122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.801147549,1 +92123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.423424644,1 +92124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.30842878,1 +92121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.126096074,1 +92125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.830383734,1 +92127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.164646835,1 +92126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,8.666444914,1 +92128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.234329592,1 +92130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.267388476,1 +92129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.637587857,1 +92131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.526033423,1 +92134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.190211074,1 +92133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.985506513,1 +92132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.201143547,1 +92135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.461316682,1 +92136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.935776887,1 +92138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.901146382,1 +92137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.313227974,1 +92139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.006098923,1 +92140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.708125146,1 +92142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.664478153,1 +92141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.421080908,1 +92143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.474345058,1 +92144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.358581652,1 +92145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.409568697,1 +92147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,7.736406118,1 +92146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,1.80170698,1 +92148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.737763961,1 +92150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.504468596,1 +92152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.521601093,1 +92151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.401235437,1 +92149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.758195145,1 +92153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.274547808,1 +92155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.787350298,1 +92156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.640676859,1 +92154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.456089083,1 +92157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.162872095,1 +92159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.625468706,1 +92158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.843992657,1 +92161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.29097644,1 +92163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.599873673,1 +92160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.730594362,1 +92164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.545263578,1 +92162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.950900812,1 +92165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.678443128,1 +92166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.354040633,1 +92167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.823510549,1 +92169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.736476355,1 +92170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.454732966,1 +92168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.851670665,1 +92173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.748111808,1 +92171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.600341474,1 +92174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.073583912,1 +92172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,7.255424755,1 +92176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.085447081,1 +92177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.929115529,1 +92178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.519825266,1 +92179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.915851891,1 +92175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.814263953,1 +92180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.49462414,1 +92181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.528870078,1 +92182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.683015757,1 +92183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.432480897,1 +92185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.323625985,1 +92184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.120535442,1 +92187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.767343405,1 +92186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.870014149,1 +92189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.561079922,1 +92190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.841644377,1 +92188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.961185781,1 +92191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.202236325,1 +92192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.972271618,1 +92194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.79236746,1 +92195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.510662664,1 +92196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.973130283,1 +92193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.039861738,1 +92197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.762879557,1 +92198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.398214475,1 +92200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.676100308,1 +92201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.776821158,1 +92202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.72146725,1 +92199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.27707888,1 +92203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.666894068,1 +92204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.882782849,1 +92206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.97517737,1 +92205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.773301173,1 +92207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.092583712,1 +92208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,8.001926569,1 +92210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.857616561,1 +92209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.08177401,1 +92213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.904007358,1 +92212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.484462575,1 +92214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.330410398,1 +92211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.230236985,1 +92215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.851784671,1 +92216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.581764045,1 +92218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.936118922,1 +92217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,8.526634858,1 +92219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.32273361,1 +92221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.013908981,1 +92220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.943092371,1 +92222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.579028204,1 +92223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.030657093,1 +92224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.653862876,1 +92225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.659441089,1 +92226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.883336759,1 +92227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.568595291,1 +92230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.96278,1 +92228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.220775883,1 +92229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.715496829,1 +92231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.420924098,1 +92234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.811787587,1 +92233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.653660526,1 +92235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.281305582,1 +92232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.189386193,1 +92237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.328956283,1 +92239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.818264517,1 +92238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.528768023,1 +92236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.9360542,1 +92240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.504483273,1 +92241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.224973796,1 +92242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.503634804,1 +92244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.411022955,1 +92245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,7.809444388,1 +92246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.350668377,1 +92243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.646691019,1 +92248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.72431712,1 +92247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.641802384,1 +92249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.358452063,1 +92250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.745653208,1 +92251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.702245776,1 +92253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.613021659,1 +92252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.926268355,1 +92254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.674126313,1 +92255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.178584762,1 +92256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.443423385,1 +92257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.045145013,1 +92258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.83710119,1 +92259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.640819477,1 +92260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.712585998,1 +92261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.489046223,1 +92262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.250321602,1 +92265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.544767719,1 +92263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.104474092,1 +92264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.114825286,1 +92266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.036257156,1 +92269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.168603397,1 +92268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.219544418,1 +92267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.238823105,1 +92270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.986514453,1 +92272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.606325566,1 +92271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.476186014,1 +92273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.918725135,1 +92274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.833054902,1 +92275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.438193527,1 +92276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.68558083,1 +92278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.293964091,1 +92279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.794614648,1 +92277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.373956871,1 +92280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.379609908,1 +92281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.491470784,1 +92283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.881765591,1 +92284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.581396039,1 +92282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.101367273,1 +92285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.734765712,1 +92286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.014613656,1 +92287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.987611002,1 +92288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.563576193,1 +92289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.715989355,1 +92290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.573417438,1 +92292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.766450803,1 +92291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.965925898,1 +92293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.357659132,1 +92295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.652285008,1 +92297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.872148007,1 +92298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.374103709,1 +92294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.298126976,1 +92296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.325771975,1 +92301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.167133841,1 +92299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.629553101,1 +92300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.495265897,1 +92302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.5108378,1 +92304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.75360587,1 +92303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.536587436,1 +92305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.006506854,1 +92308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.574836071,1 +92307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.914130971,1 +92306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.654756994,1 +92309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.269113704,1 +92310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.668965925,1 +92311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.182618716,1 +92313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.003577982,1 +92314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.62333136,1 +92315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.24513455,1 +92312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,7.181547585,1 +92317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.804520965,1 +92318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.337067626,1 +92316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.494012209,1 +92319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.917444969,1 +92321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.038615088,1 +92320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.926708882,1 +92323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.080215551,1 +92322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.107740925,1 +92325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.520628945,1 +92324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.055626467,1 +92326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.269146132,1 +92327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.924602857,1 +92329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.66130099,1 +92328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.941388809,1 +92332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.866714949,1 +92333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.501847767,1 +92330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,1.986779677,1 +92331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,7.364197742,1 +92334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.408733004,1 +92335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.737785656,1 +92337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.457731595,1 +92338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.198975463,1 +92336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.719475609,1 +92340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.803351521,1 +92339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.631993869,1 +92342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.220144229,1 +92343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.844903903,1 +92341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.397947839,1 +92344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.74528368,1 +92347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.871061658,1 +92346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.511616541,1 +92348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.394483199,1 +92349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.118349223,1 +92345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,8.391447054,1 +92351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.750429847,1 +92350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.315404343,1 +92352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.886468545,1 +92353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.687548681,1 +92355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.369127057,1 +92354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.339577501,1 +92357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.119315566,1 +92356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.791458394,1 +92358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.670314783,1 +92359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.850279734,1 +92361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,7.079601362,1 +92362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.406626718,1 +92360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.489443174,1 +92363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.353996216,1 +92364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.110572707,1 +92367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.854144685,1 +92365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.497811418,1 +92368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.880157832,1 +92366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.873231066,1 +92370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.216704698,1 +92369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.098883125,1 +92371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.325897445,1 +92372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.034053222,1 +92373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.204793623,1 +92374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.549682568,1 +92375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.435042563,1 +92377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.324831781,1 +92378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.500637547,1 +92376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.490156255,1 +92379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.786020836,1 +92381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.83139309,1 +92383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.771702152,1 +92382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.792121085,1 +92380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.272689738,1 +92385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.586110154,1 +92384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.308529906,1 +92386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.438818322,1 +92389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.950391442,1 +92387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.978040384,1 +92388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.68412657,1 +92391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.702620236,1 +92392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.961051623,1 +92390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.957702504,1 +92393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.581468194,1 +92394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.190774309,1 +92395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.15374232,1 +92396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.492860224,1 +92397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.278257598,1 +92398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.576737032,1 +92400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.956943615,1 +92401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.530161219,1 +92399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.968822215,1 +92402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.799016577,1 +92404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.148950503,1 +92403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.605146419,1 +92405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.784688561,1 +92409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.406240839,1 +92406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.787617493,1 +92407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.550724068,1 +92408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.940169166,1 +92412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.055999509,1 +92410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.504152745,1 +92411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.444772358,1 +92413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.185234188,1 +92415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.236075095,1 +92414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.65592823,1 +92416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.420172663,1 +92419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,7.419051385,1 +92420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.669126471,1 +92418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.72707458,1 +92421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.359474603,1 +92422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.528304581,1 +92417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.884324565,1 +92423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.004942553,1 +92424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.314550687,1 +92425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.333738975,1 +92427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.530656287,1 +92428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.29193011,1 +92426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.089492012,1 +92429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.708491071,1 +92430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.26154289,1 +92431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.79024578,1 +92433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.778295862,1 +92432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.889258614,1 +92435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,7.201809513,1 +92434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.286722514,1 +92436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,8.130593249,1 +92437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.240208998,1 +92438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.15142945,1 +92439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.354951951,1 +92440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.857673642,1 +92442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.749283776,1 +92443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.87770873,1 +92444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.240679356,1 +92445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.653162095,1 +92446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.632974978,1 +92441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.784376413,1 +92447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.950547318,1 +92449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.555667471,1 +92450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.160306938,1 +92448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.148506802,1 +92451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.807204029,1 +92452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.293814011,1 +92454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.635909418,1 +92455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.196698475,1 +92453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.191470051,1 +92456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.307713949,1 +92457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.477414571,1 +92458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.645783087,1 +92459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.60583195,1 +92460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,7.428018918,1 +92461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.486837523,1 +92462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.37911762,1 +92463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.134833048,1 +92464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.172627573,1 +92465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.067984396,1 +92466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,7.042566496,1 +92468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.169761704,1 +92469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.51655292,1 +92467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.94985047,1 +92470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.460106052,1 +92472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.916948903,1 +92471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,7.603353768,1 +92473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.500456672,1 +92474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.34769097,1 +92475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.785547023,1 +92476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.874116509,1 +92477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.917332258,1 +92479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,7.099249775,1 +92480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.803149511,1 +92478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.425991119,1 +92482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.516331422,1 +92483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.192742412,1 +92484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.833871602,1 +92485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.570015159,1 +92487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.871874921,1 +92481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.87717618,1 +92486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.117994673,1 +92489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.71441119,1 +92488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.817756971,1 +92491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.225080183,1 +92490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.885582566,1 +92492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.107230062,1 +92493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.181329048,1 +92494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,7.863027762,1 +92495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.764477259,1 +92496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.929960311,1 +92498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.089051777,1 +92497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.417036199,1 +92500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.173481407,1 +92502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.036118433,1 +92501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.048148714,1 +92503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.853778443,1 +92499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.52590772,1 +92504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.766966761,1 +92505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.052442657,1 +92508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.184936639,1 +92507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.839627945,1 +92506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.473774532,1 +92509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.3152732,1 +92511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.910356149,1 +92510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.568085625,1 +92512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.963475721,1 +92513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.823188659,1 +92515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.902417472,1 +92514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.426097897,1 +92516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,7.115709684,1 +92517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.835591546,1 +92518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.356499559,1 +92520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.214842826,1 +92521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.206548037,1 +92522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.478243321,1 +92519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.044302127,1 +92526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.71953942,1 +92523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.016358871,1 +92524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.978179294,1 +92525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.060665573,1 +92527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.972535016,1 +92528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.067044254,1 +92529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,7.769683913,1 +92530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.342638756,1 +92531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.001428929,1 +92532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.662979337,1 +92533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.60860133,1 +92534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.449195952,1 +92536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.512866037,1 +92537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.677689246,1 +92538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.68731669,1 +92539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.05917625,1 +92535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.848513137,1 +92541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,7.163836198,1 +92540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.829677367,1 +92542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.449520644,1 +92543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.70992649,1 +92544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.596010962,1 +92545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.611508576,1 +92546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.999890631,1 +92548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.170265813,1 +92547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.163674657,1 +92549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.82566384,1 +92550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.02666273,1 +92551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.18432182,1 +92553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.26518698,1 +92552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.065424464,1 +92554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.660748216,1 +92555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.645359277,1 +92556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.006381915,1 +92558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.712368937,1 +92559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.871639443,1 +92557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.29341648,1 +92561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.221391598,1 +92562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.662777287,1 +92563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.452580431,1 +92564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.338525653,1 +92560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.844078845,1 +92565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.737254185,1 +92566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.681247091,1 +92567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.386693915,1 +92568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.218283635,1 +92569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.446095161,1 +92570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.552080548,1 +92572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.337943901,1 +92571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.977475691,1 +92574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.920273716,1 +92573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.185701586,1 +92575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.506934433,1 +92576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.327729975,1 +92578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.222956426,1 +92577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.735834951,1 +92580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.47352171,1 +92581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.460626827,1 +92582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.026158316,1 +92583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.785984905,1 +92584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.172470743,1 +92579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.824024258,1 +92588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.895693815,1 +92586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.279515057,1 +92587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.961918891,1 +92585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.430782628,1 +92589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.310984896,1 +92590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.877572455,1 +92591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.887811617,1 +92593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.76917927,1 +92592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.218304381,1 +92594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.411553091,1 +92595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.190409934,1 +92599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.613667871,1 +92597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.470096396,1 +92598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.288960191,1 +92596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.206047612,1 +92601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.793017374,1 +92600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.387461235,1 +92602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.640586499,1 +92603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.476959675,1 +92604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,7.571100126,1 +92605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,7.655448488,1 +92606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.066136213,1 +92607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.298922601,1 +92609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.782717693,1 +92610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.581954363,1 +92611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.217568634,1 +92612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.684299673,1 +92613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.703467818,1 +92608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.315128548,1 +92614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.621497515,1 +92617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.723793859,1 +92616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.142465705,1 +92618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.718471919,1 +92615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.919381485,1 +92619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.918887206,1 +92620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.507851164,1 +92621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,1.987601285,1 +92622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.158130896,1 +92624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.616838217,1 +92625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.637273307,1 +92626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.693509132,1 +92629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.613317363,1 +92627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.292537929,1 +92623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.260137482,1 +92628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,7.222442,1 +92630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.878024909,1 +92632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.26832188,1 +92631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.791484729,1 +92633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.9975555,1 +92634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.969499712,1 +92635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.522093252,1 +92636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.483583278,1 +92637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.181815234,1 +92638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.820234878,1 +92639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.005368593,1 +92640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.751190176,1 +92641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.560735852,1 +92642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.733725481,1 +92644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.481731424,1 +92645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.627949244,1 +92646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.751918226,1 +92643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.921613067,1 +92647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.371223973,1 +92649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.752203798,1 +92650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.793755559,1 +92648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.849201105,1 +92651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.859093046,1 +92653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.918984816,1 +92652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.455288433,1 +92654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.386144577,1 +92655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.213679076,1 +92656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.17955398,1 +92657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.938466772,1 +92659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.09523026,1 +92658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.609215817,1 +92660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.921663767,1 +92663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.140024057,1 +92662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.889441365,1 +92661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.831042426,1 +92664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,8.264724901,1 +92666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.032714368,1 +92668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.767124527,1 +92665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.864399846,1 +92669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.657444466,1 +92670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.636757729,1 +92667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.630975729,1 +92672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.502282362,1 +92673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.566745518,1 +92674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.987444017,1 +92671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.461780777,1 +92677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.710284016,1 +92675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.552205695,1 +92678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.943354063,1 +92676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.910797654,1 +92680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.718853093,1 +92681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.501575659,1 +92682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.089520818,1 +92679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.543236932,1 +92683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.414086738,1 +92685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.348752826,1 +92686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.178562254,1 +92687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.829561925,1 +92684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.655306227,1 +92688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.366653879,1 +92689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.545986135,1 +92690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.6825262,1 +92691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.462028866,1 +92693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.701450796,1 +92692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.803441023,1 +92695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.044785277,1 +92694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.291793475,1 +92697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.448536597,1 +92696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.104194863,1 +92699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.231712035,1 +92698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.925038829,1 +92700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,7.091813573,1 +92701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.608430127,1 +92702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.67023629,1 +92704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,7.187519435,1 +92706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.971045144,1 +92705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.81627396,1 +92703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.801501577,1 +92707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.595941843,1 +92710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.414377378,1 +92708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.089840294,1 +92711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.524577266,1 +92712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.783139677,1 +92713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.164128127,1 +92714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.130187461,1 +92709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.51179687,1 +92715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.912890304,1 +92716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.229451727,1 +92717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.228110722,1 +92718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.877027288,1 +92720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.929385126,1 +92719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.274462748,1 +92722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.756883784,1 +92721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.733022887,1 +92723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.96179082,1 +92724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.073890542,1 +92725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.661726666,1 +92726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.897497686,1 +92727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.80214904,1 +92728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.325309663,1 +92730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.597073592,1 +92731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.696286489,1 +92732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.011615067,1 +92733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.100706502,1 +92734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.179039384,1 +92729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.004759493,1 +92735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.175246581,1 +92736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.405365253,1 +92737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.062121536,1 +92739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.542067577,1 +92738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.238502427,1 +92740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.601746455,1 +92741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.98173707,1 +92742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.616603433,1 +92743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.034262146,1 +92744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.988972215,1 +92745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.042641685,1 +92746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,7.31690412,1 +92747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.895366762,1 +92748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.102341971,1 +92749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.23363217,1 +92750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.828771786,1 +92751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.695595641,1 +92752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.08872632,1 +92753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.059013997,1 +92755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.522680356,1 +92756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.065195936,1 +92754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.911732125,1 +92757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.678880345,1 +92758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.239296968,1 +92759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.712778465,1 +92760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.076108648,1 +92761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.338530256,1 +92762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.6675625,1 +92763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.446780757,1 +92764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.958158569,1 +92765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.549277378,1 +92768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.097380904,1 +92766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.167854562,1 +92767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.524257547,1 +92769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.526348909,1 +92771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.97009669,1 +92770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.140832522,1 +92772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.344216293,1 +92773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.114987454,1 +92774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.729502641,1 +92775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.355496451,1 +92776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.077794873,1 +92777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.153236884,1 +92778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.276919268,1 +92779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.008629252,1 +92780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.782608872,1 +92781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.13042718,1 +92783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.07436616,1 +92782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.357507648,1 +92785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.732624899,1 +92784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.04157347,1 +92786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.311378423,1 +92787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.209649367,1 +92788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.500994646,1 +92789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.727571167,1 +92790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.944090906,1 +92791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.39143808,1 +92792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.150574205,1 +92793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.078462273,1 +92794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.34929957,1 +92795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.243700797,1 +92796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.293551561,1 +92798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.95560003,1 +92797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.773496502,1 +92799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.472215963,1 +92800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.225552548,1 +92801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.629375308,1 +92802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.958240639,1 +92803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.911138252,1 +92804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.712599074,1 +92805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.215357036,1 +92807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.088696366,1 +92808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.78064675,1 +92806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.288996195,1 +92809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.957241807,1 +92810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.413926786,1 +92811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.769661777,1 +92813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.479850611,1 +92814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.512455804,1 +92812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.211651545,1 +92815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.072927104,1 +92816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.866318735,1 +92818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.468701165,1 +92819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.768930389,1 +92817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.125152335,1 +92820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,7.020388224,1 +92822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.578421475,1 +92823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.624369865,1 +92824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.889071012,1 +92825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,9.138365582,1 +92826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.904606477,1 +92821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.270487579,1 +92827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.082487648,1 +92828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.761345786,1 +92829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.238633793,1 +92830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.034634331,1 +92831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.027527797,1 +92833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,1.212781017,1 +92834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.581190629,1 +92832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.073839264,1 +92835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.198364819,1 +92836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.784958665,1 +92838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.468258955,1 +92839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.143413716,1 +92837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.160802084,1 +92840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.808794714,1 +92841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.90997223,1 +92842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.326116494,1 +92844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,8.434655875,1 +92845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.424436716,1 +92843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.655694112,1 +92847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.572335343,1 +92846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.646901747,1 +92849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.43649361,1 +92848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.928343929,1 +92850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.697864761,1 +92851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.558316421,1 +92854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.860793083,1 +92853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.686963478,1 +92852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.997446871,1 +92855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.688572746,1 +92857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.275143709,1 +92856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.845244579,1 +92858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.601702688,1 +92859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.206246912,1 +92860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.672266727,1 +92861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.274127298,1 +92863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.791066142,1 +92865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.015052961,1 +92862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.215837078,1 +92864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.162437835,1 +92869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.524694652,1 +92866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.622024333,1 +92867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.772202459,1 +92868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.357213453,1 +92871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.055317405,1 +92870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,7.430861194,1 +92872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.802051722,1 +92873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.655773267,1 +92874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.85719796,1 +92875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.455819294,1 +92877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.666091183,1 +92878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.65940809,1 +92876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.132542072,1 +92879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.145288074,1 +92880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.943416795,1 +92882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.49845047,1 +92881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.366864251,1 +92883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.081544482,1 +92884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.355209172,1 +92885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.280202038,1 +92886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.722702192,1 +92887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.080649092,1 +92888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.565450806,1 +92889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.354140203,1 +92890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.95735659,1 +92891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.675201985,1 +92894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.014669601,1 +92893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.881371055,1 +92892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.472197353,1 +92897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.477266021,1 +92896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.071592874,1 +92895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.377863329,1 +92898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.598676074,1 +92899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.914435607,1 +92900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.937872983,1 +92902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.544501734,1 +92903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.530230355,1 +92904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.998266762,1 +92901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.814535205,1 +92905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.600961242,1 +92907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.248160443,1 +92906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.404072234,1 +92908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.310253156,1 +92910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.092002664,1 +92911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.201119558,1 +92909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.954612712,1 +92912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.407506591,1 +92913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.883157272,1 +92914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.541060242,1 +92915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.322853123,1 +92917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.75564036,1 +92918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.130712974,1 +92919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.467490649,1 +92916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.590696358,1 +92920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.886988948,1 +92921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.492935583,1 +92922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.703218303,1 +92923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.161522301,1 +92924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.855844142,1 +92925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.951838864,1 +92926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.220608455,1 +92927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.098720141,1 +92928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.091096602,1 +92929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.6217234,1 +92931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.727780825,1 +92930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.671427418,1 +92932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.663117546,1 +92933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.371219559,1 +92935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.525059513,1 +92936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.286930103,1 +92937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.610193831,1 +92934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,7.041181601,1 +92938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.115291411,1 +92939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.265943158,1 +92941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.549347208,1 +92940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.090512888,1 +92943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.921670424,1 +92945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.793668892,1 +92944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.357419318,1 +92946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.058519265,1 +92947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.667809906,1 +92948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.561917891,1 +92942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.905407798,1 +92949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.273998915,1 +92950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.164419026,1 +92951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.206717274,1 +92952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.496936399,1 +92953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.733394388,1 +92954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.620820224,1 +92955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.321195978,1 +92956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.073394376,1 +92957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,7.248495305,1 +92958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.154135927,1 +92959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.322296088,1 +92961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.815909382,1 +92962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.685785359,1 +92963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.311976573,1 +92960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.645138692,1 +92965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.208434732,1 +92964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.006912891,1 +92968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.499943648,1 +92966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.689798695,1 +92967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.713644518,1 +92969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.938425833,1 +92971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.172302376,1 +92972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.513568776,1 +92970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.552218441,1 +92973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.037714643,1 +92974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.200678508,1 +92975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.233802179,1 +92976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.270012082,1 +92977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.169527894,1 +92978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.176135359,1 +92980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.547400385,1 +92981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.602747351,1 +92982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.35937554,1 +92979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.315422979,1 +92983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.008049597,1 +92984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.907476894,1 +92986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.201506587,1 +92985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.566845363,1 +92988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,7.785560208,1 +92989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.258604305,1 +92990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.955185594,1 +92991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,7.016172031,1 +92987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.443563689,1 +92992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.056128591,1 +92993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.132169989,1 +92994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.173576709,1 +92997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,3.953933573,1 +92995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,2.098441984,1 +92998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,6.5677289,1 +92996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,4.581192123,1 +93000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.247863166,1 +92999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,3,1,5.570405338,1 +102001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.343179506,1 +102002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.816714743,1 +102004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.220560055,1 +102006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.951780101,1 +102005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.526358354,1 +102003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.497678632,1 +102008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.347677565,1 +102007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.820441087,1 +102009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.876711978,1 +102010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.100902743,1 +102013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.985139506,1 +102011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.198284887,1 +102012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,8.001386366,1 +102014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.586822934,1 +102015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.226373755,1 +102016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.525056929,1 +102018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.644796969,1 +102017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.927497423,1 +102019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.887627391,1 +102021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.111792448,1 +102022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.498521077,1 +102020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.296938907,1 +102023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.940216553,1 +102024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.318866553,1 +102026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.848032493,1 +102027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.88797382,1 +102025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.005735963,1 +102028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.050089711,1 +102030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.56524066,1 +102029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.682909758,1 +102031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.45192274,1 +102032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.996623673,1 +102034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.128628128,1 +102036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.880060729,1 +102033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.645384986,1 +102035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.476402429,1 +102039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.465136988,1 +102037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.672999352,1 +102040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.003898787,1 +102042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.322230933,1 +102041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.170342889,1 +102038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.238032,1 +102045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.596100877,1 +102044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.675085857,1 +102043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.943286028,1 +102046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.451198529,1 +102047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.731593116,1 +102048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.860203321,1 +102049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.781374186,1 +102050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.593428802,1 +102052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.460325748,1 +102054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.199181558,1 +102053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.504546576,1 +102051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.851492191,1 +102056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,8.222675458,1 +102055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,8.532762509,1 +102058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.414168901,1 +102060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.172187324,1 +102061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.127789299,1 +102059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.34873787,1 +102057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.134394571,1 +102062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.75595003,1 +102063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.958534769,1 +102064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.881785072,1 +102065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.478841269,1 +102066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.257871619,1 +102067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.802759087,1 +102068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.24073416,1 +102069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.066065126,1 +102070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.929945443,1 +102072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.414746861,1 +102073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.182428695,1 +102071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.967267316,1 +102075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.185429718,1 +102074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.452136134,1 +102077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.870410266,1 +102076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.681161531,1 +102079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.12771774,1 +102078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.384721366,1 +102080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.494014162,1 +102081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.658469843,1 +102083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.778149102,1 +102082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.103297203,1 +102084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.349921686,1 +102085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.357498439,1 +102086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.893633481,1 +102087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.030470687,1 +102088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.414196006,1 +102090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.1064698,1 +102089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.309202128,1 +102091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.20131942,1 +102092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.763728974,1 +102095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.664038885,1 +102093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.317433164,1 +102094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.772662007,1 +102096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.484348514,1 +102097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.431162745,1 +102098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.487284334,1 +102100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.390706245,1 +102099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.142692968,1 +102101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.257180712,1 +102102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.755821706,1 +102103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.63661677,1 +102104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.146721343,1 +102106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.37561066,1 +102105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.091957122,1 +102107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.756424062,1 +102108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,1.420298701,1 +102109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.383145406,1 +102111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.93203086,1 +102110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.747274669,1 +102113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.074723637,1 +102112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.837501039,1 +102116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.743155861,1 +102114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.089474219,1 +102115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.448739947,1 +102117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.688952321,1 +102118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.074681566,1 +102119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.78740795,1 +102120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.71129239,1 +102122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.814360484,1 +102123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.396745412,1 +102121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.934404834,1 +102124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.67399084,1 +102125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.291129015,1 +102126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.444322383,1 +102128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.71175907,1 +102127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.03120137,1 +102129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.9346692,1 +102130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.116025161,1 +102132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.66543746,1 +102134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.659044172,1 +102133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.790599271,1 +102131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.673499012,1 +102135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.054178833,1 +102136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.720872617,1 +102137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.057061138,1 +102138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.860313395,1 +102140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.322274438,1 +102141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.672228143,1 +102142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.902244948,1 +102139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.39234654,1 +102143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.142895908,1 +102144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.844810143,1 +102145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,8.720097546,1 +102146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.261738502,1 +102149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.754471708,1 +102150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.060664698,1 +102147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.252997555,1 +102148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.646800754,1 +102152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.976930222,1 +102151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.96905045,1 +102153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.894104129,1 +102154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.465632078,1 +102155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.333880599,1 +102157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.853337162,1 +102156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.340207994,1 +102158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.124625431,1 +102159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.89335406,1 +102162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.461635978,1 +102161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.299225266,1 +102160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.930983341,1 +102163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.037833137,1 +102165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.09978311,1 +102166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.545418484,1 +102164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.939320748,1 +102167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.767156728,1 +102168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.393156952,1 +102170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,1.948097248,1 +102169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.262110104,1 +102171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.718075584,1 +102173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.669745999,1 +102172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.279539788,1 +102175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.475138237,1 +102176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.636291246,1 +102174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.595788496,1 +102177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.85896947,1 +102178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.184981728,1 +102179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.149000443,1 +102180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.898609353,1 +102181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.956726337,1 +102182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.881340534,1 +102184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.808011132,1 +102183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.095252063,1 +102185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.977643317,1 +102186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.119102251,1 +102188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.348293804,1 +102189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.666654379,1 +102190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.824808,1 +102187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.351472246,1 +102191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.267121862,1 +102192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.004115948,1 +102193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.269792049,1 +102194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.143987857,1 +102195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.721483784,1 +102197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.208595412,1 +102196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.515132133,1 +102198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.793466505,1 +102199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.496852502,1 +102200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.70711928,1 +102202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.728102847,1 +102201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,1.829085667,1 +102203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.46156758,1 +102206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.796202407,1 +102204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.081962515,1 +102207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.864457697,1 +102209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.427267768,1 +102208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.092456439,1 +102205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.17948453,1 +102210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.100401716,1 +102212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.377819899,1 +102211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.158649907,1 +102214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.984241541,1 +102213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.995508921,1 +102216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.568490492,1 +102215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.097726646,1 +102217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.549072034,1 +102219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.88871529,1 +102220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.206658786,1 +102218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.560242317,1 +102221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.176389685,1 +102223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.314682995,1 +102222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.48785355,1 +102225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.541848966,1 +102224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.162664596,1 +102226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.811826101,1 +102227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.031663374,1 +102228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.097859601,1 +102229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.214396126,1 +102230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.931483896,1 +102231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.497150859,1 +102232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.816486906,1 +102234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.159393558,1 +102235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.943841483,1 +102236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.581934303,1 +102233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.71710342,1 +102238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.139192396,1 +102237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.504141615,1 +102240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.767559975,1 +102239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.523431617,1 +102242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.05242994,1 +102244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.29893206,1 +102243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.126831345,1 +102241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.387848164,1 +102245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.213235976,1 +102246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.420561886,1 +102247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.389180229,1 +102248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.551724369,1 +102249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.261990179,1 +102250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,8.113688577,1 +102252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.539433462,1 +102253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.500198449,1 +102254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.886001805,1 +102255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.511944913,1 +102256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.801919203,1 +102251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.456333625,1 +102258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.250635642,1 +102259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.130457517,1 +102260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.720951306,1 +102257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.668906599,1 +102262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.050166505,1 +102261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.183232917,1 +102263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.585144999,1 +102264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.211144505,1 +102265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.6146872,1 +102266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.236058088,1 +102267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.0899487,1 +102269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.698487806,1 +102268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.37175944,1 +102270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.085746828,1 +102273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.271762502,1 +102274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.585292696,1 +102275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.113776715,1 +102272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.056833284,1 +102276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.825376441,1 +102271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.980672044,1 +102277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.058419717,1 +102279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.276241231,1 +102280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.172989712,1 +102281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.280917429,1 +102278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.68809063,1 +102282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.312503945,1 +102283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.183757563,1 +102284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.827726558,1 +102285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.122017147,1 +102288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.67688005,1 +102286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.783652549,1 +102287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.74056157,1 +102289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.648025513,1 +102290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.864079934,1 +102291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.195475039,1 +102293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.897203115,1 +102294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.295923009,1 +102292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.352255376,1 +102296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.895793131,1 +102295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.763439509,1 +102298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.219058574,1 +102297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.708627048,1 +102299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.794371017,1 +102301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.413939718,1 +102300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.341777241,1 +102302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.470145847,1 +102303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.588276757,1 +102304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.252499918,1 +102305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.378755615,1 +102306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.418007405,1 +102307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.148229519,1 +102309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.693094837,1 +102310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.325626546,1 +102311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.292681695,1 +102308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.852561724,1 +102312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.506085472,1 +102314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.154331339,1 +102315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.987005843,1 +102313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.703806005,1 +102316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.958091272,1 +102318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.281334664,1 +102319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.344258355,1 +102317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.371601947,1 +102321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.494357953,1 +102320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.007564063,1 +102322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.408500423,1 +102323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.103504683,1 +102324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.622519969,1 +102326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.927173114,1 +102325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.34648409,1 +102327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.987155167,1 +102329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.002628638,1 +102330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.029503198,1 +102331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.306177743,1 +102328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.117240506,1 +102332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.592335019,1 +102333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.003617832,1 +102335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.155810813,1 +102334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.180984649,1 +102336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.289090264,1 +102337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.287274586,1 +102338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.997482279,1 +102339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.812130454,1 +102340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.966327292,1 +102343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.37773239,1 +102342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.891749145,1 +102344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.285938654,1 +102341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.2690082,1 +102346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.299230429,1 +102345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.562780741,1 +102347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.906122974,1 +102348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.902138586,1 +102350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.523180662,1 +102349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.51108406,1 +102351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.251948461,1 +102353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.136596332,1 +102355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.151217306,1 +102354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.16287076,1 +102352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.570192163,1 +102356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.979940289,1 +102358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.823671282,1 +102357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.553429931,1 +102359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.323060333,1 +102360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.831153856,1 +102361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.564209966,1 +102362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.324431618,1 +102363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.128777272,1 +102365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.325625445,1 +102364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.719117553,1 +102367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.17321991,1 +102366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.850447207,1 +102369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,8.305081595,1 +102368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.350929744,1 +102371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.129336736,1 +102372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.944129225,1 +102373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.629220591,1 +102370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.650607719,1 +102375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.021626297,1 +102376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.746712438,1 +102374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.766717648,1 +102377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,8.072258049,1 +102379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.358098988,1 +102380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.555183059,1 +102378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.678704045,1 +102381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.410365592,1 +102382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.946803041,1 +102384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.215286058,1 +102383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.075060312,1 +102385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.73632127,1 +102387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.586245108,1 +102386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.972721078,1 +102388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.266235941,1 +102389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.718216856,1 +102390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.896097979,1 +102391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.7625137,1 +102392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.74860213,1 +102393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.701931417,1 +102395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.314210253,1 +102394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.212531204,1 +102396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.629920539,1 +102397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.297279572,1 +102400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.777950479,1 +102398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.027129523,1 +102399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.128828293,1 +102401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.583119355,1 +102402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.872900444,1 +102404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.039826666,1 +102403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.016442362,1 +102405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.73881207,1 +102406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.218232188,1 +102408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.381888795,1 +102407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.838498937,1 +102409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.893959134,1 +102410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.286906937,1 +102412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.315962356,1 +102411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.82950036,1 +102413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.906640502,1 +102416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.685681155,1 +102414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.147238164,1 +102415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.724700539,1 +102419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.120882237,1 +102417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.159304692,1 +102418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.841215372,1 +102420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.37712315,1 +102421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.711271575,1 +102422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.328244422,1 +102424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.425593824,1 +102423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.040475529,1 +102428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.886411014,1 +102426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.804207527,1 +102425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.695422309,1 +102427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.674071141,1 +102429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.760848317,1 +102431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.153435737,1 +102430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.599084664,1 +102432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.657955893,1 +102433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.83810194,1 +102434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.117636156,1 +102435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.311690734,1 +102436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.260490526,1 +102438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.770674806,1 +102437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.966367585,1 +102440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.441951058,1 +102439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.575758866,1 +102442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.968734861,1 +102441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.389111724,1 +102445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.032991974,1 +102443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.466190907,1 +102444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.436684841,1 +102446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.201806355,1 +102447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.842388665,1 +102448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.579434395,1 +102449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.354044043,1 +102450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.133534395,1 +102451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.883596752,1 +102452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.91456261,1 +102454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.152812811,1 +102453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.100392681,1 +102455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.227047823,1 +102456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.371605714,1 +102457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.463878486,1 +102458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.705695369,1 +102460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.538419293,1 +102459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.201929584,1 +102462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.549095147,1 +102461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.241932883,1 +102464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.609495506,1 +102463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.375728251,1 +102465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.280206433,1 +102466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.265671579,1 +102468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.071612803,1 +102467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.325758484,1 +102470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.617301552,1 +102471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.330413944,1 +102472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.247843008,1 +102473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,1.998481483,1 +102469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.00618448,1 +102474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.533068611,1 +102475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.171015554,1 +102476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.582145049,1 +102478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.180786258,1 +102477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.168841635,1 +102479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.750076873,1 +102482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.92782579,1 +102480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.612975501,1 +102481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.455537129,1 +102483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.861019992,1 +102485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.351366647,1 +102486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.150345464,1 +102487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.490288037,1 +102488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.548150722,1 +102489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.02730132,1 +102490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.389803786,1 +102484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.472015262,1 +102491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.913710318,1 +102492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.148565201,1 +102493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.986113702,1 +102496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.728599786,1 +102494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.947575728,1 +102495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.203441939,1 +102497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.935994445,1 +102499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.716380274,1 +102500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.575829593,1 +102501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.134749104,1 +102502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.168534423,1 +102498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.949964969,1 +102503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.252628598,1 +102504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.95384489,1 +102506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.096255936,1 +102507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.14890756,1 +102508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.493597528,1 +102509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.258773743,1 +102505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.434985821,1 +102510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.590405902,1 +102511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,8.109775219,1 +102512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.788764995,1 +102513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.770806322,1 +102516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.661095815,1 +102514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.387925319,1 +102515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.84555497,1 +102517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.901241471,1 +102520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.434938402,1 +102519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.212315227,1 +102518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.440343792,1 +102521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.008216285,1 +102522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.366893758,1 +102523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.865930275,1 +102524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.052923485,1 +102525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.635306722,1 +102527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.973645284,1 +102526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.653793658,1 +102528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.71592774,1 +102530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.683342433,1 +102531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.294308092,1 +102532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.659650324,1 +102535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.627868611,1 +102529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.968844424,1 +102533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.698280983,1 +102534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.446823729,1 +102536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.744595596,1 +102537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.185839537,1 +102538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.283908622,1 +102539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.67025942,1 +102540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.467423583,1 +102541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.374784653,1 +102542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.518808709,1 +102543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.913340866,1 +102544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.799212319,1 +102545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.305814828,1 +102546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.638773592,1 +102547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.32774956,1 +102548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.14505266,1 +102550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.88267101,1 +102551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.845961072,1 +102552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.479742454,1 +102549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.304273277,1 +102553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.218011916,1 +102555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.811117274,1 +102554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.997319735,1 +102556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.89254286,1 +102557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.72406384,1 +102558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.648898413,1 +102559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.345895566,1 +102560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.805798726,1 +102561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.436267055,1 +102562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.340180256,1 +102563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.583400605,1 +102564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.824926784,1 +102565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.057758362,1 +102566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.547028331,1 +102567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.92337955,1 +102569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.775156491,1 +102570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.969465279,1 +102571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.894230672,1 +102568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.78421785,1 +102573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.866084532,1 +102572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.107954969,1 +102574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.902819855,1 +102575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.52292763,1 +102576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.305022911,1 +102577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.223886098,1 +102578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.723356244,1 +102579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.081983245,1 +102580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.551766383,1 +102581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.447735854,1 +102582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.07380385,1 +102583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,8.061748705,1 +102584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.667759288,1 +102586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.055298031,1 +102585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.72929526,1 +102588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.820015675,1 +102590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.378820176,1 +102589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.221206077,1 +102591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.974532828,1 +102587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.314899872,1 +102593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.228022634,1 +102592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.251583471,1 +102594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.688050927,1 +102595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.899419293,1 +102597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.179819278,1 +102596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.343008763,1 +102600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,1.718987432,1 +102598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.688441531,1 +102599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.0245325,1 +102601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.66994558,1 +102602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.688372523,1 +102603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.385702209,1 +102605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.203524039,1 +102604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.635520333,1 +102608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.375215113,1 +102606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.583433507,1 +102609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.398483643,1 +102607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.668187373,1 +102611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.655630159,1 +102610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.525417323,1 +102613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.854089233,1 +102614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.046714649,1 +102612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.019704462,1 +102615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.012457566,1 +102616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.838793486,1 +102617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.118553801,1 +102619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.328053326,1 +102618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.248848458,1 +102620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.755835019,1 +102622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.261635493,1 +102621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.290360206,1 +102623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.684217685,1 +102625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.814392611,1 +102624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.103243025,1 +102626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.186674697,1 +102627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.708223952,1 +102629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.43863415,1 +102628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.420720946,1 +102630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.10970412,1 +102631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.687240514,1 +102632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.836710798,1 +102633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.871626708,1 +102634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.357067023,1 +102635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.449867113,1 +102637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.191676199,1 +102636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.063980913,1 +102638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.428883529,1 +102640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.695733922,1 +102641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.570992964,1 +102639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.638266553,1 +102642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.655047042,1 +102643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.961867458,1 +102644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.950879737,1 +102646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.225292295,1 +102647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.555752695,1 +102645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.721184673,1 +102648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.08297338,1 +102649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.644871017,1 +102650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.595277102,1 +102651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.531126952,1 +102652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.774147022,1 +102653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.74241232,1 +102654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.122938269,1 +102655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.324497687,1 +102656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.765029589,1 +102657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.115490314,1 +102660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,9.534539225,1 +102659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.42667208,1 +102658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.661752718,1 +102661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.246971769,1 +102662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.869947669,1 +102663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.589358822,1 +102664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.04336348,1 +102665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.627685402,1 +102666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.70284315,1 +102667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.637909575,1 +102668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.401029796,1 +102669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.228902095,1 +102670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.519594955,1 +102671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.728239296,1 +102674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.288680779,1 +102673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.153867396,1 +102672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.098965261,1 +102675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,8.449747923,1 +102677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.323669236,1 +102676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.360882981,1 +102678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.576607497,1 +102679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.614495362,1 +102680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.589869394,1 +102682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.971544907,1 +102681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.029707298,1 +102683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.125980294,1 +102684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.435959781,1 +102685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.235137517,1 +102686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.532039949,1 +102687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.092419658,1 +102688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.344872927,1 +102689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.511843399,1 +102690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.042281193,1 +102691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,9.310608822,1 +102692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.499050005,1 +102693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.250866156,1 +102695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.069403459,1 +102694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.285549694,1 +102696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.473640672,1 +102697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.673569872,1 +102698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.417357315,1 +102699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.0981585,1 +102700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.660895821,1 +102702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.913771634,1 +102703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.974369716,1 +102701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.332973322,1 +102704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.532562473,1 +102705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.715585697,1 +102706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.006978662,1 +102707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.855660122,1 +102708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.658390031,1 +102709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.391244818,1 +102710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.780210764,1 +102711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.372602388,1 +102712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.32511,1 +102713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.506264864,1 +102714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.567161551,1 +102715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.124184846,1 +102717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.392514058,1 +102716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.81960589,1 +102718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.801373693,1 +102720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.098300702,1 +102719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.743412844,1 +102721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.903414674,1 +102722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.646728721,1 +102723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.163964794,1 +102724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.140051567,1 +102725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.882820686,1 +102726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.037845946,1 +102727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.208001562,1 +102728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.122948707,1 +102729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.133761197,1 +102730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.029258282,1 +102731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.089358272,1 +102732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.44573258,1 +102733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.155787375,1 +102734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.013417414,1 +102735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.53720841,1 +102737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.092747489,1 +102736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.366844968,1 +102738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.696782122,1 +102739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.848199473,1 +102740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.961713945,1 +102741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.598381214,1 +102742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.567685873,1 +102743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.5088409,1 +102744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.057361213,1 +102746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.545731547,1 +102745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.398485124,1 +102748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.846973721,1 +102747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.712590297,1 +102749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.654273344,1 +102750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.592248539,1 +102751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.448715458,1 +102752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.756010215,1 +102754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.825683914,1 +102753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.198243889,1 +102756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.957044378,1 +102755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.616239725,1 +102758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.227918238,1 +102757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.389318316,1 +102759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.868982602,1 +102760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.160425639,1 +102761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.383615543,1 +102762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.567529995,1 +102765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.568133056,1 +102763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.881432823,1 +102764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.490957292,1 +102766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.937857693,1 +102767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.294568513,1 +102768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.135843727,1 +102769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.345740431,1 +102770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.530295967,1 +102773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.399501814,1 +102771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.088909459,1 +102772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.105071333,1 +102774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.043377618,1 +102775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.691870907,1 +102776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.079357719,1 +102777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.755246179,1 +102778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.050119376,1 +102779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.131104594,1 +102780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.502607373,1 +102781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.906417849,1 +102783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.382347377,1 +102784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.079334346,1 +102785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.881336716,1 +102782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.917496732,1 +102786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.969182462,1 +102787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.609283241,1 +102788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.428717446,1 +102789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.59448095,1 +102790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.833115057,1 +102793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.070918796,1 +102792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.604214234,1 +102791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.968373313,1 +102794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.180963243,1 +102796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.440174066,1 +102795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.516216557,1 +102797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.083776627,1 +102798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.157328659,1 +102799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.817530988,1 +102801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.07707423,1 +102802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.604612272,1 +102800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.212593151,1 +102804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.207578389,1 +102805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.53480631,1 +102803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.441345228,1 +102806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.84179106,1 +102809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.967142144,1 +102807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.003678387,1 +102808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.841285169,1 +102810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.438233507,1 +102812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.475255579,1 +102811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.72718925,1 +102813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.722372741,1 +102814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.712162643,1 +102815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.988777011,1 +102816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.933697525,1 +102817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.775933627,1 +102819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.655071684,1 +102820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.428277881,1 +102821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.26178292,1 +102818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.30880936,1 +102824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.902591268,1 +102822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.583030124,1 +102823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.406264301,1 +102825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.801291129,1 +102828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.469399893,1 +102827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.045548568,1 +102826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.341490859,1 +102829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.909315829,1 +102832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.786565474,1 +102831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.031748454,1 +102830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.992263469,1 +102834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.997274604,1 +102835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.269597706,1 +102836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.018359769,1 +102837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.44681295,1 +102838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.657285608,1 +102833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.027981032,1 +102839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.020277662,1 +102840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.846484151,1 +102841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.386483489,1 +102843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.290526923,1 +102842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.012384426,1 +102844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.475498192,1 +102845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.313035775,1 +102847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.851658853,1 +102846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.530514743,1 +102848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.80737709,1 +102849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.528592881,1 +102850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.722450227,1 +102852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.403821611,1 +102851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.615810531,1 +102853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.528547799,1 +102854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.145691259,1 +102856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.50462774,1 +102855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.936695164,1 +102857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.609549956,1 +102859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.971183261,1 +102860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.69919504,1 +102861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.010770094,1 +102858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.988862718,1 +102862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.060246167,1 +102865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.617211632,1 +102863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.805268777,1 +102866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.759054334,1 +102868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.831435025,1 +102864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.20152334,1 +102867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.374212133,1 +102869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.849734248,1 +102870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.809337268,1 +102871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.823217376,1 +102872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.175719058,1 +102873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.846345116,1 +102874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.08292929,1 +102875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.814853678,1 +102877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.598034622,1 +102878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.722993765,1 +102879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.910905066,1 +102876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.889720511,1 +102880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.672182982,1 +102882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.232713981,1 +102883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.579967301,1 +102881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.587658082,1 +102885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.769485451,1 +102884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.986089146,1 +102887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.27737011,1 +102886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.897614752,1 +102888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.397728593,1 +102889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.01374761,1 +102890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.859431675,1 +102891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.961040264,1 +102892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.627564622,1 +102893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.34967177,1 +102894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.241715702,1 +102896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.578464153,1 +102897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.789550617,1 +102898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.000166373,1 +102895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.897951338,1 +102900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.221633293,1 +102901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.426968341,1 +102902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.87634935,1 +102899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.260075379,1 +102904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.061237516,1 +102903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.094666878,1 +102905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.788706341,1 +102906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.275741817,1 +102907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.483881864,1 +102908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.608612127,1 +102909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.4287147,1 +102910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.013529324,1 +102912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,8.080332833,1 +102911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.242373897,1 +102914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.940355136,1 +102915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.259426444,1 +102916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.28735092,1 +102913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.070862554,1 +102917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.069530542,1 +102918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.066954112,1 +102920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.814310848,1 +102919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.242141866,1 +102922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.007002843,1 +102923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.43311054,1 +102924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.327146156,1 +102921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.879191306,1 +102925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.090067905,1 +102926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.066067224,1 +102927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.710780634,1 +102928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.670403498,1 +102929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.503454417,1 +102930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.249719214,1 +102932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.715423577,1 +102931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.452693648,1 +102933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.351355499,1 +102935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.895276479,1 +102934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.444262863,1 +102938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.202600437,1 +102937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.040331175,1 +102939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.867319451,1 +102936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.074308073,1 +102942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.737391844,1 +102941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.627000767,1 +102943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.109908292,1 +102940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.933959989,1 +102944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.265627891,1 +102945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.333324247,1 +102946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.955554763,1 +102947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.762066289,1 +102948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.835882595,1 +102949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.094365473,1 +102950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.008230596,1 +102951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.585837416,1 +102952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.50222161,1 +102953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.850074685,1 +102955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.726243833,1 +102954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.270453242,1 +102957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.398715902,1 +102956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.701273551,1 +102959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.366356704,1 +102958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.200101539,1 +102960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.903634894,1 +102961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.12402161,1 +102962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.865840218,1 +102963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.30009799,1 +102964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.375874688,1 +102966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.432815922,1 +102967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.153212546,1 +102968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.866077683,1 +102965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.792489484,1 +102969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.455079395,1 +102970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.387715171,1 +102971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.628089405,1 +102973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.932584692,1 +102974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.971626379,1 +102975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.403196569,1 +102972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.62373153,1 +102976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.504577292,1 +102978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.149015415,1 +102977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.833391382,1 +102979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.879165887,1 +102980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.667070305,1 +102981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.365226965,1 +102982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.977645037,1 +102983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.964013363,1 +102985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.092175951,1 +102984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.40625303,1 +102986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.24786945,1 +102988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,7.153571818,1 +102987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.457495037,1 +102989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.471209605,1 +102990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.254023131,1 +102992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.428149513,1 +102994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,2.405294785,1 +102993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.873516321,1 +102991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.455239509,1 +102995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.958561766,1 +102996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,4.122852844,1 +102997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,6.25677645,1 +102998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.297284377,1 +103000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,5.528986685,1 +102999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,3,1,3.865191207,1 +112001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.15782471,1 +112002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.62920284,1 +112003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.931900571,1 +112005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.663674455,1 +112006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.30854692,1 +112004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.199120038,1 +112007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.407197979,1 +112008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.746024662,1 +112009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.297257478,1 +112011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.998352354,1 +112010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,1.454223945,1 +112012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.494704024,1 +112013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.952479014,1 +112014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.056850503,1 +112015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.573969001,1 +112016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.459466147,1 +112017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.891747927,1 +112018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,8.059359055,1 +112020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.038109753,1 +112021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.473548581,1 +112022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.160397087,1 +112019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.769830798,1 +112023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.774072624,1 +112024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.556316477,1 +112025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.557199096,1 +112026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.546419982,1 +112028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.578684421,1 +112027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.422524146,1 +112029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.321824608,1 +112030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,7.871264013,1 +112031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.757446817,1 +112032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,7.140924526,1 +112033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.990795689,1 +112035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.732483026,1 +112036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.368017852,1 +112034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.450260774,1 +112037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.452485825,1 +112039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.314064972,1 +112038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.634713212,1 +112040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.132374012,1 +112042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.831933435,1 +112043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.636553579,1 +112041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.566689003,1 +112044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.380456365,1 +112045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.909822051,1 +112046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.380417137,1 +112047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.42413326,1 +112048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.785847442,1 +112049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.723945638,1 +112050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.65619221,1 +112051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.543894915,1 +112052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.515941697,1 +112054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.081916193,1 +112053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.078355237,1 +112055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.644224683,1 +112056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,7.572299476,1 +112058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.78284247,1 +112057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.952952891,1 +112059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.318648672,1 +112060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.360251706,1 +112062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.445743065,1 +112061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.023587954,1 +112063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.652349657,1 +112064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.452929829,1 +112065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.246205697,1 +112066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.705756389,1 +112067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.516655295,1 +112070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.333964289,1 +112071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.642052465,1 +112069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.451991823,1 +112073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.614604936,1 +112072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.827902197,1 +112068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.942196969,1 +112074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.88622199,1 +112075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.296592151,1 +112076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.622664691,1 +112078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.710580756,1 +112077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.349045094,1 +112079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.443176852,1 +112081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.583122628,1 +112080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.852728824,1 +112082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.349959603,1 +112084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.352911999,1 +112083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.628432467,1 +112085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,7.00545672,1 +112086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.316769719,1 +112087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.341938637,1 +112088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.933143649,1 +112089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.342936209,1 +112091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.44773456,1 +112092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.93507998,1 +112093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.011109018,1 +112094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.497654471,1 +112090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.321056412,1 +112095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.818740814,1 +112097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.485714553,1 +112096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.788400382,1 +112099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.914148595,1 +112098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.110354374,1 +112100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.634156494,1 +112101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.232462711,1 +112105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,7.049708401,1 +112103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.548119426,1 +112102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.839215654,1 +112104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,7.156549579,1 +112108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.023678156,1 +112107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.493857214,1 +112109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.028979237,1 +112110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.261752605,1 +112112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.931111125,1 +112106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.999696316,1 +112113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.017871529,1 +112114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.961583394,1 +112115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.733114989,1 +112116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.096841837,1 +112111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.643323068,1 +112118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.870938308,1 +112117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.737000537,1 +112120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.46592969,1 +112121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.235411771,1 +112119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.37269929,1 +112122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.903514151,1 +112123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.457391801,1 +112125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.642347335,1 +112126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,7.039756618,1 +112127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.555985595,1 +112128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.612458748,1 +112124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.538210879,1 +112129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.993554951,1 +112131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.374117627,1 +112132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.752746093,1 +112130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.226366214,1 +112135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.415238437,1 +112133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.932987857,1 +112136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.440048421,1 +112134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,7.669040895,1 +112137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.168220939,1 +112138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.744165559,1 +112140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.235752514,1 +112139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.438320687,1 +112142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.754988929,1 +112143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.902695846,1 +112141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,7.397982453,1 +112145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.341260204,1 +112146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.361741665,1 +112144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.688429397,1 +112147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.301103799,1 +112149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.535397828,1 +112148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.234021211,1 +112151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.799742848,1 +112150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.115077372,1 +112153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.223627356,1 +112152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.844388261,1 +112154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,7.282256439,1 +112155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.974403711,1 +112156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.373447791,1 +112157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.693202882,1 +112160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.446781072,1 +112159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.389115248,1 +112161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.811392004,1 +112158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.797144825,1 +112162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.182797777,1 +112163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.896295685,1 +112164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.52242352,1 +112165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.90055949,1 +112169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.033946815,1 +112166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.620766565,1 +112168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.631477719,1 +112167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,7.163612605,1 +112171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.301401721,1 +112170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.725497526,1 +112172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.166115445,1 +112173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.761232377,1 +112174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,7.54587827,1 +112176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.423467247,1 +112175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.798655784,1 +112177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.38178458,1 +112178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.21017916,1 +112179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.774152759,1 +112180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.640698507,1 +112182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.440200558,1 +112181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.742719386,1 +112183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.706544173,1 +112184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.218946447,1 +112185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.697849695,1 +112187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.645546177,1 +112186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.078778551,1 +112188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.6762966,1 +112189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.431184213,1 +112190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.732282545,1 +112191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.921546729,1 +112192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.356464105,1 +112193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.97234545,1 +112194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.535503219,1 +112195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.724301398,1 +112196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.262065228,1 +112197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.411816047,1 +112198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.270536879,1 +112200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.766284737,1 +112201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.234206955,1 +112202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.672131506,1 +112199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.964208632,1 +112203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.03683537,1 +112204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.274059908,1 +112205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.232093256,1 +112207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.052389116,1 +112208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.286707102,1 +112209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.935292493,1 +112206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.211106014,1 +112211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.916085409,1 +112212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.208118327,1 +112213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.295111499,1 +112210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.827805433,1 +112214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.843770432,1 +112215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.068375163,1 +112217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.4630768,1 +112218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.825420265,1 +112216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.037973174,1 +112219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.362457052,1 +112220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.949140306,1 +112221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.806144889,1 +112223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.239819528,1 +112224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.491886078,1 +112222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.349771028,1 +112225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.849142518,1 +112226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.712483241,1 +112228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.869353813,1 +112227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.277926216,1 +112229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.435436819,1 +112230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.666974463,1 +112233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.073731241,1 +112232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.228117177,1 +112234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.722821207,1 +112231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.053751976,1 +112236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.995412665,1 +112235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.015651895,1 +112237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.887715901,1 +112238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.707908879,1 +112239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.994898166,1 +112240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.343117271,1 +112244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.275016218,1 +112241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.449255095,1 +112242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.785557596,1 +112243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.459239243,1 +112245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.566767651,1 +112247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.586973432,1 +112246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.942615046,1 +112248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.560436688,1 +112249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.379812793,1 +112251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.868863952,1 +112250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.912331324,1 +112252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.705592113,1 +112253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.686998706,1 +112254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.094926832,1 +112256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.701854541,1 +112257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.574585342,1 +112258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.150832599,1 +112259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.716080569,1 +112255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.531211188,1 +112260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.388088164,1 +112262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.935645031,1 +112261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.066122035,1 +112263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.816532498,1 +112264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.179303867,1 +112265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.476859231,1 +112266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,7.377825554,1 +112267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.300035489,1 +112268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.856652524,1 +112269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.207720573,1 +112270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.588166696,1 +112271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.653614295,1 +112272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.626034167,1 +112273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.425974479,1 +112274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.561841258,1 +112276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.180399013,1 +112277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.853037543,1 +112278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.180891614,1 +112279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.425095766,1 +112280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.291870665,1 +112275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.299611854,1 +112281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.647583357,1 +112282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.288658097,1 +112283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.736151428,1 +112284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.5381994,1 +112286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.681190924,1 +112285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.194700406,1 +112288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.69817537,1 +112287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.488150224,1 +112290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.850516987,1 +112291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.452444602,1 +112289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.043359246,1 +112292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.252931587,1 +112295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.011024611,1 +112296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,7.067222813,1 +112293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.634480017,1 +112297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.097300636,1 +112298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.404887646,1 +112294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.760041217,1 +112299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.154463417,1 +112300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,7.189582126,1 +112303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.257601271,1 +112301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.03172108,1 +112302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.555692557,1 +112305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.676085358,1 +112307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.459280167,1 +112304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.481420133,1 +112306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.0542488,1 +112309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.064630429,1 +112310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.553775172,1 +112311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.463218093,1 +112308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,7.071220115,1 +112313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.850405878,1 +112314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.751569667,1 +112315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.244448879,1 +112316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.811988002,1 +112317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.64368775,1 +112312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.451009282,1 +112318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.474939828,1 +112319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.637755608,1 +112321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.203469419,1 +112320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.008907301,1 +112322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.113483502,1 +112323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.543514279,1 +112324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.88480331,1 +112325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.690542545,1 +112327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.04753832,1 +112328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.411676718,1 +112329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.232447389,1 +112326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.388660069,1 +112330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.765031611,1 +112332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.281869794,1 +112333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.13742518,1 +112331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.629480448,1 +112334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.376227798,1 +112335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.561393304,1 +112336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.458210794,1 +112337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,7.060579982,1 +112338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.54822592,1 +112339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.100608128,1 +112340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,8.555218361,1 +112342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.010368561,1 +112343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.356970706,1 +112341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.028407982,1 +112345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.254094731,1 +112344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.399505214,1 +112346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.536430199,1 +112347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.382754706,1 +112348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.756881872,1 +112349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.648773841,1 +112350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.924226436,1 +112351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.339401172,1 +112353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.82189052,1 +112352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.488910175,1 +112354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.383958878,1 +112356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.612576149,1 +112357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.622872982,1 +112355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.072095474,1 +112358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.467243316,1 +112359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.58836423,1 +112360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.248074405,1 +112361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.970463886,1 +112362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,7.199353933,1 +112364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.194075041,1 +112365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.454260518,1 +112363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.875232362,1 +112366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,1.00621822,1 +112367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.20380227,1 +112369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.784162891,1 +112370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.375946137,1 +112371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.247816639,1 +112368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.596245514,1 +112372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.143662113,1 +112373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.261599574,1 +112374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.269137247,1 +112375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.307068459,1 +112376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.914627202,1 +112377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.264259369,1 +112379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.878180464,1 +112378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,7.86136318,1 +112380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.8108136,1 +112382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.316093731,1 +112381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.116681673,1 +112383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.58310542,1 +112384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.470812413,1 +112385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.462600875,1 +112386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.989067284,1 +112387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.644209165,1 +112388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.240093207,1 +112389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.843135284,1 +112390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.671797367,1 +112392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.543593992,1 +112391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.853298717,1 +112393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.808804426,1 +112394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.088684784,1 +112395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.127982312,1 +112396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.914390815,1 +112397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.479468099,1 +112398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.016148411,1 +112399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,7.800488965,1 +112400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.879595979,1 +112401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.554909879,1 +112402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.582132137,1 +112403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.538418416,1 +112404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.650191905,1 +112405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.578332204,1 +112408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.975546054,1 +112407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.437824251,1 +112406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.184528537,1 +112409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.225085934,1 +112411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.253709097,1 +112412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.148199438,1 +112410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.837477719,1 +112415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.372610347,1 +112414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.216527279,1 +112413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.296689908,1 +112416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.003787267,1 +112418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.058996325,1 +112419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.8373658,1 +112420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.169788963,1 +112421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.763943204,1 +112422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.240515872,1 +112423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.48955799,1 +112424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.778319849,1 +112417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.709938761,1 +112425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.554263305,1 +112426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.513517762,1 +112428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.928467584,1 +112427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.402044834,1 +112429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.552624589,1 +112430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.870594583,1 +112431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.00204832,1 +112432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.808273526,1 +112433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.001075593,1 +112434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.840506626,1 +112435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.736014625,1 +112436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.148868044,1 +112437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.12329905,1 +112438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.265548369,1 +112440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.933537548,1 +112441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.160759029,1 +112442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.160744226,1 +112443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.027352705,1 +112439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.424801597,1 +112444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.026814623,1 +112445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.115848806,1 +112446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.598800362,1 +112447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.627496868,1 +112448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.439452043,1 +112449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.688247869,1 +112450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.639413044,1 +112452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.887051523,1 +112451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.809746124,1 +112453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.221677065,1 +112454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.772899854,1 +112455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.087754501,1 +112456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.504243195,1 +112457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.706073473,1 +112458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.809080454,1 +112459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.930829805,1 +112460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.193762042,1 +112461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.801176165,1 +112462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.705738374,1 +112463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.332283118,1 +112464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.56487342,1 +112465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,1.305286442,1 +112466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.142132945,1 +112467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.047807132,1 +112469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.266757739,1 +112468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.542150856,1 +112470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.394904468,1 +112471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.255572228,1 +112472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.089425751,1 +112474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.492164898,1 +112473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.237109836,1 +112475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.822791931,1 +112476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.433732743,1 +112477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.985700922,1 +112479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.800681854,1 +112480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.806155033,1 +112481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.330481492,1 +112482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.096052445,1 +112478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.278637136,1 +112484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.665255646,1 +112483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.584310338,1 +112485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.134731776,1 +112487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.838485747,1 +112488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.10241822,1 +112486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.634335405,1 +112489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.406857901,1 +112491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.906851471,1 +112492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.992525391,1 +112490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.478152685,1 +112493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.999701644,1 +112494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.301769383,1 +112495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.245277777,1 +112496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.063513634,1 +112497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.051426895,1 +112498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.091711855,1 +112500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.304862329,1 +112501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.578714744,1 +112502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.020459326,1 +112503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.947639615,1 +112499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.028125844,1 +112504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.43505539,1 +112505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.696103673,1 +112507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.864968079,1 +112506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.99524817,1 +112508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.679363399,1 +112510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.125550424,1 +112509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.048559181,1 +112511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.419178505,1 +112512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.229500306,1 +112514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.669442111,1 +112515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,7.181696593,1 +112516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.860377496,1 +112517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.692317414,1 +112513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.493526353,1 +112518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.200588417,1 +112519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.356016761,1 +112521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.464092217,1 +112520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.509309983,1 +112522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.550784626,1 +112523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.253984642,1 +112525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,8.20426786,1 +112524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.247937385,1 +112526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.442318456,1 +112527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.015315265,1 +112528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.794600351,1 +112530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.597049574,1 +112529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.299462692,1 +112531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.527837806,1 +112532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.628027101,1 +112533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.54353879,1 +112535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.353295433,1 +112534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,7.782310322,1 +112536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.04319978,1 +112538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.926966472,1 +112539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.713200229,1 +112537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,7.247453616,1 +112540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.600622776,1 +112541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.577245714,1 +112544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.156547397,1 +112542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,7.67273407,1 +112543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.285826958,1 +112545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.211141685,1 +112546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.52234094,1 +112547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.295051038,1 +112548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.448242354,1 +112549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.728054925,1 +112550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.74755743,1 +112552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.907993135,1 +112553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.344930604,1 +112551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.018780582,1 +112555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.373760495,1 +112556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.445397569,1 +112557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.485594279,1 +112558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.251791137,1 +112559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.676197333,1 +112554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.395213181,1 +112561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.524090988,1 +112560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.195795866,1 +112563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.878222019,1 +112562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.144101691,1 +112564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.87861698,1 +112565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.290836026,1 +112566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.301289453,1 +112567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.270549482,1 +112568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.58945518,1 +112570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.280081992,1 +112571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.347844662,1 +112572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.080828678,1 +112569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.101448791,1 +112573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.857117435,1 +112574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.685135275,1 +112576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.663336941,1 +112575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.201902491,1 +112578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.047274334,1 +112580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.421231763,1 +112577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.015250689,1 +112579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.874996478,1 +112581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.11818677,1 +112583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.964101576,1 +112584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.82706345,1 +112585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.763747882,1 +112586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.179009132,1 +112587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.579062796,1 +112582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.727791219,1 +112589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.897284683,1 +112588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.479160006,1 +112590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.011499117,1 +112593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.909580517,1 +112591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.52965696,1 +112594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.078317402,1 +112592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.606139906,1 +112596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.162992109,1 +112595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.884336835,1 +112598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.755099081,1 +112597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.57407553,1 +112599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.535470279,1 +112600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.982607661,1 +112601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,7.073450712,1 +112602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.096230821,1 +112604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.022794361,1 +112605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.917273511,1 +112606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,1.996703031,1 +112607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.204851432,1 +112608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.837193672,1 +112609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.642075789,1 +112603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.895274279,1 +112610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.638076213,1 +112613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.573458569,1 +112611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.104976237,1 +112612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.74437827,1 +112614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.37558415,1 +112616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.695966179,1 +112615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.248274842,1 +112617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.194712914,1 +112618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.658601284,1 +112619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.157266608,1 +112620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.189306312,1 +112621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.025421939,1 +112622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.529627187,1 +112623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.089269917,1 +112625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.150757793,1 +112626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.901620708,1 +112624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.398376587,1 +112627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.701309907,1 +112628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.132017164,1 +112629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,7.629193856,1 +112630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.90466812,1 +112631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.205354009,1 +112633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.66894396,1 +112632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.836917543,1 +112634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.607095948,1 +112635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.336729011,1 +112636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.708887299,1 +112637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.958194977,1 +112638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.577984494,1 +112639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.256358496,1 +112640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.817491249,1 +112641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.370483173,1 +112643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.364806852,1 +112645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.716884734,1 +112642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.958412801,1 +112644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.452016324,1 +112646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.251445102,1 +112647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.198795381,1 +112648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.774402506,1 +112649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.287726592,1 +112650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.993097889,1 +112651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.186513621,1 +112653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,7.356541969,1 +112652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.536518704,1 +112654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.659509452,1 +112655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.796024667,1 +112656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.419273198,1 +112658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.040405957,1 +112657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.98256485,1 +112659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.360100345,1 +112660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.476510398,1 +112663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.127983058,1 +112662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.946177086,1 +112661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.662423653,1 +112664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.662342312,1 +112666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.013886859,1 +112665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.871990076,1 +112668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.979896659,1 +112667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.524728202,1 +112669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.373903347,1 +112670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.386223661,1 +112671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.786310257,1 +112672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.537982773,1 +112673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,8.048723534,1 +112675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.207079324,1 +112674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.503735471,1 +112676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.312604603,1 +112677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.569225179,1 +112678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.896436992,1 +112680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.312878975,1 +112681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.963056332,1 +112679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.08668495,1 +112682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.057486605,1 +112684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.358035333,1 +112683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.606921586,1 +112686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.501778746,1 +112685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.811553944,1 +112688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.113816884,1 +112687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.309594375,1 +112690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.284482554,1 +112689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.052493262,1 +112692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.316018843,1 +112693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.23127475,1 +112694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.2047932,1 +112691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.387006393,1 +112695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.231094861,1 +112696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.483821228,1 +112697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.300757326,1 +112699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.562298187,1 +112700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.650645488,1 +112698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.493669536,1 +112701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.925064856,1 +112702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.48110783,1 +112703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.605999175,1 +112704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.386885004,1 +112707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.808266254,1 +112706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.226486822,1 +112705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.212561104,1 +112708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.405909553,1 +112710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.628720889,1 +112711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.417875719,1 +112709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.615499763,1 +112713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.852228139,1 +112714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.362953654,1 +112715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.858191938,1 +112716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.262476385,1 +112717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.649115985,1 +112718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.151856887,1 +112712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.035147572,1 +112721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.273302724,1 +112719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.930983378,1 +112720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.788062594,1 +112722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.160374615,1 +112725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.567095277,1 +112724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.448690322,1 +112726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.979521681,1 +112727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.845975726,1 +112728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.794075903,1 +112723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.018868956,1 +112729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.484179454,1 +112731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.84433639,1 +112730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.012029331,1 +112732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.351776635,1 +112734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.481890537,1 +112736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.76770452,1 +112735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.142670799,1 +112733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.920489447,1 +112737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.531313124,1 +112738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.986299548,1 +112739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.050164223,1 +112740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.775977951,1 +112741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.859119257,1 +112742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.626820825,1 +112743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.976516043,1 +112744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.612730059,1 +112745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.501663885,1 +112747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.315718869,1 +112748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.047912657,1 +112749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.925334049,1 +112750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.767201298,1 +112746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.905260059,1 +112751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.581699306,1 +112752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.261675108,1 +112754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.796060005,1 +112753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.289402349,1 +112755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.160111993,1 +112756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.84341994,1 +112757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.271911188,1 +112758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.376190814,1 +112760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.917524824,1 +112761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.669579279,1 +112762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.227204171,1 +112759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.75848274,1 +112763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.562163607,1 +112765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.26588836,1 +112766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.299618023,1 +112767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.124058143,1 +112764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.696645994,1 +112768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.890420854,1 +112769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.522586702,1 +112770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.466092245,1 +112771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.66553691,1 +112772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.069001659,1 +112773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.21647509,1 +112774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.551745018,1 +112776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.134311403,1 +112775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.66494261,1 +112777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.517713495,1 +112778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.149543715,1 +112779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.563539328,1 +112780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,7.133183341,1 +112781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.425529025,1 +112782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.43251361,1 +112783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.508264738,1 +112784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.717876047,1 +112785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.365730117,1 +112786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.485435904,1 +112788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.839291341,1 +112787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.808467799,1 +112789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.45192855,1 +112790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.618297768,1 +112791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.370340183,1 +112792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.827475875,1 +112794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,7.471454411,1 +112793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.253159988,1 +112795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.283931598,1 +112796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.399390996,1 +112797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.97295226,1 +112799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.078774365,1 +112798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.947093687,1 +112802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.692412407,1 +112803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.232279458,1 +112801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.764599685,1 +112800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.435146055,1 +112804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.61619812,1 +112805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.278457069,1 +112807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.127430426,1 +112808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.415576757,1 +112806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.032151157,1 +112809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.335540522,1 +112810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.093831667,1 +112811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.786437105,1 +112812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.794498312,1 +112814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.733733457,1 +112813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,7.497097606,1 +112815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.095759965,1 +112816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.044145584,1 +112819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.202198825,1 +112818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.763079416,1 +112817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.154883973,1 +112821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.807767066,1 +112822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.106363882,1 +112823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.505297124,1 +112820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.857126174,1 +112825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.826995213,1 +112826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.215105925,1 +112824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.415583903,1 +112827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.690760389,1 +112829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.130777291,1 +112830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.157726477,1 +112831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.185547364,1 +112828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.533499404,1 +112833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.064336342,1 +112834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.252281951,1 +112835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.809809691,1 +112832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.667463194,1 +112837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.883317376,1 +112838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.474619426,1 +112839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.848098552,1 +112840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.823248636,1 +112842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.392645483,1 +112836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.185771348,1 +112841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.186473925,1 +112844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.608264433,1 +112845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.288163601,1 +112843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.802690788,1 +112846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.522825453,1 +112847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.59535445,1 +112848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.875549902,1 +112849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.666553413,1 +112850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.849482263,1 +112852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.278629867,1 +112853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.321094541,1 +112854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.864741187,1 +112856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.754784205,1 +112851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.054569483,1 +112855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.151005714,1 +112857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.039673657,1 +112859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.246890776,1 +112860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.996948807,1 +112858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.93794811,1 +112862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.297163085,1 +112861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.312400571,1 +112863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.894116621,1 +112864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.802378315,1 +112865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.283690371,1 +112866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,8.463378833,1 +112867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.293826544,1 +112868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.318340037,1 +112872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.596090041,1 +112870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.764443038,1 +112869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.134407304,1 +112871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.226810236,1 +112874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.776805795,1 +112875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.837013052,1 +112873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.098459961,1 +112876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.150780681,1 +112878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.550089378,1 +112877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.428946735,1 +112880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.05148517,1 +112879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.277410385,1 +112881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.75598229,1 +112883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.335970001,1 +112884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.755155753,1 +112882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.852250367,1 +112886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.014501016,1 +112887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.566509174,1 +112888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.053695587,1 +112885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.057490696,1 +112891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.442013859,1 +112889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.593703481,1 +112892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.307625502,1 +112890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.684803113,1 +112893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.865150371,1 +112894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.641437208,1 +112895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.382952054,1 +112896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.307370188,1 +112898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.404848698,1 +112899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.897229708,1 +112897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.991252284,1 +112901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.84507121,1 +112903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.413730595,1 +112900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.279580138,1 +112902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.244230097,1 +112906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.02001461,1 +112905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.664674679,1 +112907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.290765689,1 +112904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.972804879,1 +112908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.494937415,1 +112911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.410243267,1 +112910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.215308605,1 +112909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.851466341,1 +112913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.199048232,1 +112914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.190559391,1 +112915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.374915865,1 +112912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.535809821,1 +112916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.510668749,1 +112918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.807629345,1 +112917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.723437863,1 +112919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.51664278,1 +112920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.144935185,1 +112922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.535209386,1 +112923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.037294918,1 +112921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.77827227,1 +112924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.113248046,1 +112926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.152018646,1 +112925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,1.606901256,1 +112927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.809991006,1 +112928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.90854813,1 +112930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,7.27310607,1 +112931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.102768311,1 +112932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.195740129,1 +112929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.914273688,1 +112933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.376665558,1 +112934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.187935163,1 +112936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.630360512,1 +112935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.697356671,1 +112937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.071266369,1 +112938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.921939441,1 +112939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.297639086,1 +112940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.491696725,1 +112941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.357417954,1 +112943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.16866625,1 +112942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.399100118,1 +112944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.128047329,1 +112945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.106986243,1 +112947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.154707879,1 +112948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.865444626,1 +112949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.016072375,1 +112946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.836086146,1 +112951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.117052598,1 +112950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.634149135,1 +112953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.815587779,1 +112952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.975878666,1 +112954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.627884144,1 +112955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.198217034,1 +112956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.73427328,1 +112957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.619294447,1 +112958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.495799928,1 +112959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.621848597,1 +112960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.986063118,1 +112961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.762126433,1 +112962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.777806227,1 +112965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.587813501,1 +112966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.993796683,1 +112963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.542812654,1 +112964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.944882584,1 +112967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.206467888,1 +112968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.683298557,1 +112970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.376178968,1 +112969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.596184018,1 +112971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,7.901233043,1 +112972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.102969286,1 +112973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.540510171,1 +112975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.76238725,1 +112976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.884054968,1 +112977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.516708657,1 +112974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.926765444,1 +112978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.22020174,1 +112979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.116109142,1 +112980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.773196994,1 +112982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.191460759,1 +112981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.73083216,1 +112983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.222123763,1 +112984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.51855206,1 +112985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.673969564,1 +112987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.216499572,1 +112988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.564261537,1 +112986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.133160702,1 +112989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.934907922,1 +112990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,6.684404455,1 +112991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.000525496,1 +112993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.040509829,1 +112994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.908695543,1 +112995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,2.48364399,1 +112992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.332743811,1 +112997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,4.526722297,1 +112996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,3.297600529,1 +112998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,8.176269988,1 +112999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,5.936070206,1 +113000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,3,1,7.878493564,1 +122001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.471181844,1 +122002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.058007288,1 +122003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.95540066,1 +122004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.150125675,1 +122005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.683863559,1 +122006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.691272351,1 +122008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.030558913,1 +122007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.027790683,1 +122009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.6168259,1 +122010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.366457906,1 +122011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.259789817,1 +122012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.284708695,1 +122013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.027000329,1 +122016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.221241654,1 +122015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.228092391,1 +122014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.61574686,1 +122017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.143223178,1 +122018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.961120405,1 +122020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.054609187,1 +122019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.921548293,1 +122021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.141932289,1 +122022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.620809671,1 +122023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.377691386,1 +122024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,8.042366473,1 +122025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.611331259,1 +122026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.071897964,1 +122027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.0663349,1 +122029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.531693714,1 +122028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.48480725,1 +122030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.550383101,1 +122031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.649748373,1 +122032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.200277925,1 +122034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.02617591,1 +122035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.267542744,1 +122036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.152232998,1 +122033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.761417137,1 +122037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.367772474,1 +122038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.553063717,1 +122039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.865496292,1 +122041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.778433535,1 +122042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.104360613,1 +122043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.950974497,1 +122040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.05046225,1 +122044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.504714815,1 +122045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.158947083,1 +122046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.419680584,1 +122048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.434439146,1 +122047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.903670389,1 +122049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.385437328,1 +122050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.933433363,1 +122051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.020249045,1 +122052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.017456857,1 +122053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.697025144,1 +122054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.760999132,1 +122055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.755261849,1 +122057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.676607275,1 +122058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.878306202,1 +122056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.924221268,1 +122059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.839101798,1 +122060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.166604822,1 +122061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.760249697,1 +122062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,7.946894448,1 +122063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.111491716,1 +122064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.22777681,1 +122065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.659893254,1 +122068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.088192348,1 +122067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,7.046740043,1 +122066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.430383162,1 +122069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.043026212,1 +122070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.576222811,1 +122071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.15528054,1 +122072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.738408205,1 +122074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.339574549,1 +122073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.531624596,1 +122075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.850796635,1 +122078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.442930747,1 +122076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.586412829,1 +122077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.509508739,1 +122079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,1.880946184,1 +122080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,8.164111361,1 +122082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.697122573,1 +122083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.132846599,1 +122081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.806393185,1 +122084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.971283941,1 +122085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.881514015,1 +122086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.844810751,1 +122087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.034989998,1 +122088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.057691447,1 +122089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.854538558,1 +122090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.083439593,1 +122091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.071840815,1 +122092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.553433877,1 +122093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.216646814,1 +122094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,7.828238737,1 +122096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.034895059,1 +122097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.925939751,1 +122098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.675756959,1 +122099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.72303549,1 +122095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.031421934,1 +122100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.065704145,1 +122101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.78697755,1 +122102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.863062059,1 +122103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,7.549190751,1 +122104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.82685739,1 +122105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.431658535,1 +122106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.915155305,1 +122108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.197530142,1 +122107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.898708927,1 +122109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.943012679,1 +122110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.387214147,1 +122112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.591105129,1 +122111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.935833421,1 +122113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.257362269,1 +122114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.590072015,1 +122116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.131435001,1 +122117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.683633728,1 +122118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.094257436,1 +122119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.051966323,1 +122120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.64668684,1 +122121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.731852468,1 +122115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.06292346,1 +122122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.037042919,1 +122123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.707779541,1 +122125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.262714258,1 +122124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.414482343,1 +122126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.296937942,1 +122127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.220734067,1 +122128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.481295866,1 +122129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.241766174,1 +122130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.297448177,1 +122132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.766560915,1 +122131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.374201678,1 +122133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.94246684,1 +122134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.229786028,1 +122135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.047025258,1 +122137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.647965356,1 +122138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.195470771,1 +122140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.599326652,1 +122136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.906448582,1 +122139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.98557292,1 +122141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.677102136,1 +122143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,7.278082588,1 +122144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.593250423,1 +122142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.260184447,1 +122145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.755146085,1 +122146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.333603887,1 +122147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.282553845,1 +122148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.924678038,1 +122149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.710404968,1 +122150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.704749274,1 +122151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,7.447456722,1 +122153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.351481746,1 +122152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.733429406,1 +122155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.799935901,1 +122154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.977102226,1 +122156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.598551994,1 +122157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.06782171,1 +122159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.399071399,1 +122158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.007547041,1 +122160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.740235134,1 +122162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.13490149,1 +122163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.876252498,1 +122161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.520834114,1 +122164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.061390847,1 +122165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.158456192,1 +122166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,7.661174628,1 +122168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.432756907,1 +122167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.876347192,1 +122169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.620521268,1 +122170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.702048224,1 +122172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.905107469,1 +122171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.716375865,1 +122173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,8.114452378,1 +122174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.487223611,1 +122176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.473496267,1 +122175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.964591985,1 +122177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.803626044,1 +122178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.528440309,1 +122179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.482448553,1 +122180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.317219552,1 +122181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.441650847,1 +122182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.09781095,1 +122183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.418564673,1 +122184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.821489525,1 +122185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.457847797,1 +122186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.237166354,1 +122187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.330969554,1 +122190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.364584201,1 +122189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.607986973,1 +122191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.782293725,1 +122192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.828570705,1 +122193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.156249182,1 +122194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.04183568,1 +122188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.821066747,1 +122195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.611667784,1 +122196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.002340937,1 +122197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.313244609,1 +122199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,7.180745956,1 +122198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.386849636,1 +122200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.878422553,1 +122201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.676771798,1 +122204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.232019755,1 +122203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.420703726,1 +122202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.901538688,1 +122205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.790935128,1 +122206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.746333421,1 +122208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.631980425,1 +122209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.659494337,1 +122210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.028844833,1 +122211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.636072018,1 +122207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.944877969,1 +122212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.988875544,1 +122213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.212407287,1 +122214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.736121661,1 +122216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.422984895,1 +122215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.411135125,1 +122217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.868764454,1 +122218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.790392052,1 +122220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.549433023,1 +122219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.933320974,1 +122221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.307380563,1 +122222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.313163374,1 +122224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.502784027,1 +122223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.975214776,1 +122225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.208719762,1 +122226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.288875277,1 +122227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,7.118075042,1 +122229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.38586341,1 +122230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.977864399,1 +122228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.504479681,1 +122231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.931428268,1 +122234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.991649682,1 +122232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.067552088,1 +122233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.962344637,1 +122235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.435112385,1 +122237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.229853642,1 +122238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,7.335162322,1 +122239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.957935634,1 +122236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.111602859,1 +122240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.469542187,1 +122241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.944741085,1 +122242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.39706744,1 +122243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.85186363,1 +122244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.627929799,1 +122245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.532466548,1 +122246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.296732441,1 +122247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.370999857,1 +122249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,1.573450489,1 +122248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.516110015,1 +122250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.639242569,1 +122252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.522366205,1 +122251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.021403286,1 +122253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.848399011,1 +122254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.002339383,1 +122255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.796203965,1 +122256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,7.209909534,1 +122258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.768831104,1 +122257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.282898403,1 +122260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.482083191,1 +122259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.68758732,1 +122261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.481430041,1 +122262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.646312383,1 +122265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.294318603,1 +122264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.437543995,1 +122266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.103788147,1 +122263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.698459208,1 +122267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.194658946,1 +122268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.848288296,1 +122269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.693951123,1 +122271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.333997298,1 +122272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.089186265,1 +122270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.958180236,1 +122273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.974054896,1 +122274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.251394285,1 +122275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.94334233,1 +122277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.098761014,1 +122279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,9.815557715,1 +122278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.866015685,1 +122276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.758018148,1 +122282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.42915003,1 +122281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.217649032,1 +122280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.447525204,1 +122283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.426786008,1 +122284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,7.060999308,1 +122285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.522416416,1 +122286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.252284078,1 +122288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.478038717,1 +122289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.868334363,1 +122287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.672691399,1 +122290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.729050614,1 +122291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.718523689,1 +122294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.439575815,1 +122292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.515965909,1 +122295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.771141869,1 +122293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,7.205574662,1 +122297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.668232913,1 +122298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.640541312,1 +122296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.743918125,1 +122299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.525043046,1 +122300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,7.002622611,1 +122301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.902961453,1 +122303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.412997192,1 +122305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.525777872,1 +122304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,7.389282566,1 +122302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.325878485,1 +122308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.861751278,1 +122309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.591249911,1 +122307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.895689312,1 +122306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.143799745,1 +122311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.340689536,1 +122312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.869193557,1 +122310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.483870401,1 +122313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.347128651,1 +122315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.318023989,1 +122316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.633697541,1 +122317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,1.981922941,1 +122318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.572198043,1 +122319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.919413746,1 +122314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.019568597,1 +122320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.626785426,1 +122322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.248265126,1 +122323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.757854529,1 +122321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,8.187480781,1 +122326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.972721415,1 +122327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.833803713,1 +122324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.859004778,1 +122325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.78235434,1 +122328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.558275085,1 +122329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.053760836,1 +122331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.240390034,1 +122330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.902383198,1 +122332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.163530421,1 +122333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.679748128,1 +122334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.333083963,1 +122335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.071663391,1 +122338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.901820018,1 +122336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.732712199,1 +122337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.720519677,1 +122339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.753691255,1 +122340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.683497842,1 +122341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.398071917,1 +122342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,7.468277332,1 +122343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.691543778,1 +122344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.429781637,1 +122345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.505625012,1 +122346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.036547045,1 +122347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.162702181,1 +122348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.455918595,1 +122349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.949998104,1 +122350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.897108142,1 +122351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.672077059,1 +122352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.782485838,1 +122354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.842695984,1 +122353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.859211033,1 +122356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.624644522,1 +122355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.456940498,1 +122357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.745731622,1 +122358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,8.089089339,1 +122359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.87448751,1 +122360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.812357744,1 +122361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.075710192,1 +122362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.991120396,1 +122363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.307978036,1 +122365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.325370831,1 +122364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.424846396,1 +122366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.858424275,1 +122367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.641714151,1 +122368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.604701435,1 +122371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.2698526,1 +122369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.963443143,1 +122370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.136973132,1 +122372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.469718075,1 +122373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.860918759,1 +122375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.662886606,1 +122376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.4294259,1 +122377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.9348137,1 +122378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.80673854,1 +122379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.270652282,1 +122374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.62539427,1 +122380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.919891312,1 +122382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.226746634,1 +122381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.239182712,1 +122383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.689186057,1 +122384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.753845475,1 +122386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.901042489,1 +122385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.643220656,1 +122387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.805643715,1 +122388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.783114226,1 +122389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.002981457,1 +122390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.948487901,1 +122391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.585746638,1 +122392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.117311773,1 +122393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.334332652,1 +122394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.950798597,1 +122396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.22751254,1 +122397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.44776524,1 +122398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.72799521,1 +122401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.030991007,1 +122395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.19803206,1 +122399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,7.448505473,1 +122400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.266317391,1 +122403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.654661942,1 +122402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.991588726,1 +122404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.313121968,1 +122405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.531540322,1 +122406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.417471756,1 +122407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.249569058,1 +122408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.882444623,1 +122409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.810190961,1 +122410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.331736155,1 +122411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.166560829,1 +122413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.559229157,1 +122412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.080128385,1 +122415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.663537477,1 +122417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.658761606,1 +122416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.358883445,1 +122414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.490654983,1 +122419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.979114345,1 +122420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.661107048,1 +122421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.701876432,1 +122422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.507915489,1 +122418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.655068033,1 +122423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.409421567,1 +122425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.087541623,1 +122424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.365912302,1 +122427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.66823643,1 +122426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.827806348,1 +122429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.023797018,1 +122428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.558815243,1 +122431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,7.602558736,1 +122430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.059234697,1 +122432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.102506658,1 +122434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.804092802,1 +122433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.048014472,1 +122435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.458446024,1 +122436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.067778684,1 +122438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.44513018,1 +122439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.764775498,1 +122437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.431597258,1 +122441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.675552109,1 +122440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.661515098,1 +122442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.535543128,1 +122443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.894176133,1 +122444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.170194731,1 +122445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.358652783,1 +122446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.053569641,1 +122447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.541386785,1 +122449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.05793971,1 +122448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.991878948,1 +122451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.39231149,1 +122450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.170010812,1 +122453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.996761382,1 +122452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.715542468,1 +122455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.068030883,1 +122456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.319572807,1 +122457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.427953315,1 +122458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.352426629,1 +122454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.584998292,1 +122459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.68550279,1 +122460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.906365269,1 +122462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.623015958,1 +122461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.137442805,1 +122463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.77172495,1 +122465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.616980622,1 +122464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.391247427,1 +122466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.212772318,1 +122467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.049601285,1 +122468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.934934318,1 +122469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.597192755,1 +122470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.341047664,1 +122471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.051720886,1 +122472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.966273265,1 +122475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.122392047,1 +122474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.373973508,1 +122473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.599347148,1 +122478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.994566045,1 +122476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.252104186,1 +122477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.611615565,1 +122481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.691236464,1 +122480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.866593036,1 +122482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.746236083,1 +122479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.660125182,1 +122483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.601876097,1 +122484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.863587654,1 +122485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.758523371,1 +122487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.7997016,1 +122488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,7.261875008,1 +122486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.856845188,1 +122489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.716124903,1 +122491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.347454515,1 +122492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.20934966,1 +122490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.672674563,1 +122493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.08714952,1 +122495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.845377068,1 +122494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.124081867,1 +122496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.181288134,1 +122497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,7.27833017,1 +122499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.634965464,1 +122498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.49601075,1 +122501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.597816774,1 +122500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.76804876,1 +122502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.965633176,1 +122504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.984031427,1 +122505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.14258871,1 +122506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.732239626,1 +122503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.016220953,1 +122510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.309213955,1 +122509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.918975282,1 +122508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.387103245,1 +122507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.01745994,1 +122511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.509747289,1 +122513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.424847788,1 +122512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.188794527,1 +122514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.305112296,1 +122515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.923800273,1 +122517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.81496816,1 +122516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.652039505,1 +122518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,7.629771342,1 +122520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.04912991,1 +122521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.185139314,1 +122522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.028155985,1 +122519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.336628381,1 +122524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.432825793,1 +122525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.877925255,1 +122526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.552500233,1 +122523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.431589709,1 +122527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.973883399,1 +122528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.840866958,1 +122530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.76279442,1 +122529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.793141313,1 +122531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.494722732,1 +122532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.851575733,1 +122534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.001678564,1 +122533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.541760575,1 +122535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.760886222,1 +122536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.698258625,1 +122538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.483671808,1 +122539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.941174817,1 +122537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.366770413,1 +122542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.063946025,1 +122541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.505892554,1 +122540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.401081273,1 +122544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.260330678,1 +122546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.622855941,1 +122545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.302319635,1 +122543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.181485125,1 +122547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.652200474,1 +122548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.731411105,1 +122549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.971079838,1 +122550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.743098853,1 +122553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.982506512,1 +122551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.714980553,1 +122552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.91147467,1 +122555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.707141701,1 +122556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.423461335,1 +122557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.217126169,1 +122554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,1.698015142,1 +122560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,8.839634584,1 +122559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.712561887,1 +122558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.346127096,1 +122561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.105733815,1 +122563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.085782164,1 +122562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.044518301,1 +122564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.543062616,1 +122565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.051252035,1 +122566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.949553876,1 +122567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.310019124,1 +122568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.360804663,1 +122569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.794093359,1 +122571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.921286181,1 +122572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.106571503,1 +122570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.351354707,1 +122574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.519719829,1 +122576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.850511483,1 +122575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.033432177,1 +122573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.93640883,1 +122577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.382693287,1 +122579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.515452137,1 +122578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.002777581,1 +122581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.723041897,1 +122582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.771492273,1 +122583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.122113095,1 +122580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.954065044,1 +122585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.860879426,1 +122584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.676757064,1 +122587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.360984153,1 +122586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.261097842,1 +122589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.997381859,1 +122588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.573237669,1 +122591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.987111531,1 +122592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.11752314,1 +122593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.859147142,1 +122590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.283641564,1 +122594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.118869252,1 +122595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.272260754,1 +122596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.874140761,1 +122598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.823541912,1 +122599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.5787427,1 +122597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.508396682,1 +122600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.022599186,1 +122603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.128613004,1 +122601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.428547329,1 +122602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.498169383,1 +122604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.889686131,1 +122606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.300357314,1 +122607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.047379688,1 +122605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.528779653,1 +122608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.388388379,1 +122610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.428396902,1 +122609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.356597607,1 +122612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.808948138,1 +122611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.418590855,1 +122613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.371528624,1 +122614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.181663024,1 +122615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.036167916,1 +122616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.744245394,1 +122618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.57684128,1 +122617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.099731778,1 +122619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.706725685,1 +122620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.514696397,1 +122622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.596746007,1 +122621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.333896096,1 +122623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.567574019,1 +122626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.654175288,1 +122625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.285143156,1 +122624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.836406587,1 +122627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.597252986,1 +122628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.047253067,1 +122630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.458797124,1 +122631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.493426525,1 +122629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.339625057,1 +122632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.012233262,1 +122633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.460387734,1 +122634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.463075565,1 +122636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.645246162,1 +122637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.498296584,1 +122635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.273307921,1 +122638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.331874008,1 +122639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.404876144,1 +122640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.003335855,1 +122641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.696339868,1 +122642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.169387775,1 +122643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.118918669,1 +122644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.641640485,1 +122645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.626975303,1 +122646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.223169706,1 +122647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.655064227,1 +122648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.458780609,1 +122650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.455598016,1 +122649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.523996202,1 +122651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.992687686,1 +122652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.893981035,1 +122653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.954851426,1 +122654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.02147514,1 +122655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.132002169,1 +122656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.236529686,1 +122657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.413096544,1 +122659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.357730546,1 +122658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.012006915,1 +122660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.869426374,1 +122661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.8509183,1 +122662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.758852749,1 +122664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.790492168,1 +122665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,7.290016719,1 +122663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.634388054,1 +122666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.926660825,1 +122667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.539288166,1 +122668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.167506005,1 +122669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,7.752626396,1 +122670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.474285847,1 +122671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.615302362,1 +122672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.813646717,1 +122674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.110273118,1 +122673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.741044588,1 +122675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.871253297,1 +122676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,7.822354702,1 +122677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.855704961,1 +122679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.722659913,1 +122678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.040689752,1 +122680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.168282731,1 +122681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.077492923,1 +122682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.214737081,1 +122684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.9572862,1 +122683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.523210758,1 +122685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.24442334,1 +122686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.850981339,1 +122687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.228065952,1 +122689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.665590183,1 +122690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.787455986,1 +122691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.206173504,1 +122692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.105644796,1 +122688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.278507065,1 +122693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.706829045,1 +122694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.611101724,1 +122696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,7.262540888,1 +122695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.0772292,1 +122697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.468958854,1 +122698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,7.690013909,1 +122700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,1.966422536,1 +122699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.165538475,1 +122701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.563097243,1 +122702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.297297123,1 +122703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.794288028,1 +122704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.932312806,1 +122705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.781478234,1 +122706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.122709534,1 +122707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.855150067,1 +122709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.112412881,1 +122710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.923548117,1 +122708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.797297955,1 +122711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.07796737,1 +122712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.058330927,1 +122713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.368221982,1 +122714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.268104803,1 +122715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.953421688,1 +122717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,8.169924654,1 +122716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.83335207,1 +122719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.272552262,1 +122718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.824444908,1 +122720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.595312896,1 +122721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.077164128,1 +122722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.607480435,1 +122723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.875714576,1 +122724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.684957818,1 +122725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.277975366,1 +122726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.656033074,1 +122728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.022882486,1 +122729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.536880629,1 +122730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.933729568,1 +122731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.747607635,1 +122732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,8.51054548,1 +122727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.702993431,1 +122733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.727984542,1 +122734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.178563358,1 +122735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,7.140937865,1 +122737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.343026862,1 +122736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.782343211,1 +122738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.783391669,1 +122739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.54926907,1 +122741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.529583873,1 +122740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.856968333,1 +122742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.158360572,1 +122743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.184356889,1 +122745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.685040173,1 +122746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,8.440320968,1 +122747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.680462022,1 +122748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.334960816,1 +122744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.28318247,1 +122749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.456453875,1 +122750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.62255415,1 +122751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.513657816,1 +122753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.278902987,1 +122752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.184328003,1 +122754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.487143748,1 +122756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.901318493,1 +122757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.03479062,1 +122755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.890589282,1 +122758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.995234508,1 +122759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.414069041,1 +122761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.146560014,1 +122760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.012570561,1 +122762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.214084807,1 +122763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.702200127,1 +122764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.251619635,1 +122766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.668224607,1 +122767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.754668152,1 +122768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.895266002,1 +122765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.595606972,1 +122769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.064672795,1 +122770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.225091127,1 +122771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.101653136,1 +122772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.092922654,1 +122773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.272904452,1 +122774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.719727836,1 +122775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.119691228,1 +122776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.51946745,1 +122777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.192643002,1 +122778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.465480326,1 +122779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.113437944,1 +122781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.435775494,1 +122780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,7.433286987,1 +122782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.045034446,1 +122783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.341355988,1 +122784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.550163006,1 +122786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.126105175,1 +122787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.057539614,1 +122785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.919765332,1 +122788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.1096923,1 +122789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.290586538,1 +122791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.242728958,1 +122790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.239691618,1 +122792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.885605621,1 +122793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.016734551,1 +122794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.899656928,1 +122795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.42632749,1 +122796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.986119964,1 +122797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.383942201,1 +122798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.887851339,1 +122799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,7.531729111,1 +122800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.469137833,1 +122802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.021790542,1 +122801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,1.925970297,1 +122806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.459590205,1 +122805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.609998434,1 +122804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.330333702,1 +122803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.367849346,1 +122807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.503996342,1 +122809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.381565987,1 +122808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.247559574,1 +122813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,7.334299055,1 +122812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.088365203,1 +122811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.111905751,1 +122810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.713401753,1 +122815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.500307899,1 +122816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.645281722,1 +122814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.647074513,1 +122817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.517983201,1 +122819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,1.617735467,1 +122820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.380373333,1 +122818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.530941579,1 +122821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.280970763,1 +122822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.494946505,1 +122823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.189343346,1 +122824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.711198281,1 +122826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.520994206,1 +122827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.172603588,1 +122828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.742854264,1 +122829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.483282844,1 +122830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.169105531,1 +122831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.382526958,1 +122825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.462767156,1 +122833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.238033833,1 +122832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.579955811,1 +122835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.329664761,1 +122834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.86376615,1 +122836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.559733419,1 +122837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.307832059,1 +122838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.935938781,1 +122839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.798431713,1 +122840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.900204569,1 +122841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,7.044684492,1 +122843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.736874139,1 +122844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.359282319,1 +122845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.80928961,1 +122846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.872792871,1 +122847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.094335055,1 +122848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.155144803,1 +122842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.590058688,1 +122849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.475333772,1 +122850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.749828532,1 +122851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.158868639,1 +122853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.793076969,1 +122852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.873929305,1 +122854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.743343083,1 +122855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.997405301,1 +122856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.856418333,1 +122857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.721228324,1 +122858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.520702966,1 +122859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.146380853,1 +122860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.920427484,1 +122861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.764128279,1 +122863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.138968446,1 +122862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.312266209,1 +122864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.898870066,1 +122866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.80921101,1 +122867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.212115527,1 +122868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.592513078,1 +122865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.794621519,1 +122869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.365961882,1 +122870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.585271406,1 +122871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.594800289,1 +122873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.005716657,1 +122874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.633019078,1 +122872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.873986058,1 +122875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.273579712,1 +122876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.542093389,1 +122877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.053829261,1 +122880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.851701363,1 +122878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.834739693,1 +122879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.332349769,1 +122881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.716897857,1 +122882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.776241978,1 +122883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.342381022,1 +122884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.269847842,1 +122885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.166768153,1 +122886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.895766922,1 +122888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.34175637,1 +122889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.74858087,1 +122890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.829781865,1 +122891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.850038032,1 +122892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.391859149,1 +122887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.730956778,1 +122893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.556717494,1 +122894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.696815883,1 +122895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.966202936,1 +122897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.898553018,1 +122896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.00096512,1 +122898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.483629267,1 +122899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.001281005,1 +122900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.342376256,1 +122901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.193378634,1 +122902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.765382405,1 +122903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.11749608,1 +122904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.564850224,1 +122906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.428676267,1 +122907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.75582065,1 +122908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.330819022,1 +122905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.957473972,1 +122909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.886884404,1 +122910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.258429939,1 +122911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,7.523911996,1 +122912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.559939531,1 +122913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.234902267,1 +122914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.456396754,1 +122915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.682999184,1 +122917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,1.527343997,1 +122916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.998471741,1 +122918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.628960416,1 +122919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.952802652,1 +122920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.077005803,1 +122921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.458304134,1 +122922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.525803513,1 +122923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.998648455,1 +122924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.180779217,1 +122925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.398378583,1 +122926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.512366335,1 +122927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.573613617,1 +122928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.511435777,1 +122930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.139838414,1 +122929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.339239264,1 +122931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.912326837,1 +122932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.158440913,1 +122933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.364288724,1 +122935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.113274677,1 +122936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.659735794,1 +122934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,7.282503394,1 +122937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.389774653,1 +122938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.167189218,1 +122940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.531615029,1 +122939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.654955707,1 +122941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.103385834,1 +122942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.9393907,1 +122944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.04254287,1 +122945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.781983849,1 +122946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.65377321,1 +122947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.822308748,1 +122949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.835384598,1 +122948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.909993478,1 +122943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.290243059,1 +122950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.287462225,1 +122952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.458152779,1 +122951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.859100744,1 +122953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.910627012,1 +122954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.100794976,1 +122955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.218749581,1 +122957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.026003611,1 +122956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.87128303,1 +122958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.724418633,1 +122959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.425459962,1 +122961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.092712902,1 +122962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.556133439,1 +122963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.105206165,1 +122964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.843484316,1 +122965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.696074849,1 +122960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.255282317,1 +122966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.484983945,1 +122967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.751553742,1 +122968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.286923458,1 +122969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.198675847,1 +122970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.021345371,1 +122971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,8.700677388,1 +122972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.538918946,1 +122973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.943883414,1 +122974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.858126729,1 +122975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.09767772,1 +122976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.480493213,1 +122977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.635556935,1 +122978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.260165138,1 +122979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.364033811,1 +122980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.228379133,1 +122983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.796545466,1 +122982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.780028661,1 +122984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.278837911,1 +122981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.583190302,1 +122985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.670771946,1 +122986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.514049425,1 +122988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.572031346,1 +122987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.550584982,1 +122989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,6.180240522,1 +122990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.532164241,1 +122992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.541691,1 +122991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.470125698,1 +122993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.982659474,1 +122994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,7.277655169,1 +122995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.330818433,1 +122997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.606604248,1 +122996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,3.974147321,1 +122998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,5.281803999,1 +122999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,2.967832827,1 +123000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,3,1,4.044614401,1 +132002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.824420602,1 +132003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.615541709,1 +132004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.494025374,1 +132001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.730668712,1 +132006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.121483348,1 +132007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.32798012,1 +132008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.50809798,1 +132009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.680970049,1 +132005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.612227684,1 +132011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,7.694125203,1 +132010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.664169384,1 +132013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.238045843,1 +132014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.191933127,1 +132012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.806607922,1 +132015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.417332286,1 +132016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.62160667,1 +132018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.125357369,1 +132019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.601060732,1 +132020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.702040802,1 +132021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,1.941074973,1 +132017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.973979436,1 +132022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.382558456,1 +132024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.863743235,1 +132025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.573786806,1 +132026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.277941048,1 +132023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.545694311,1 +132028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.2963512,1 +132027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.071025938,1 +132029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.653910846,1 +132030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,8.378545154,1 +132031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.722336805,1 +132032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.75175565,1 +132033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.288287293,1 +132036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.65949048,1 +132034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.348352675,1 +132037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.453985079,1 +132035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.395563431,1 +132038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.683166825,1 +132040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.268487852,1 +132041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.199413538,1 +132039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.638362938,1 +132042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.40476993,1 +132044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.257660372,1 +132043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.935296677,1 +132045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.149925544,1 +132046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.082626158,1 +132047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.450774226,1 +132048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.88370345,1 +132050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.507247351,1 +132049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.990561365,1 +132051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.652609566,1 +132052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.098174506,1 +132053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.377117217,1 +132054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.000323914,1 +132056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.848096552,1 +132058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.159012048,1 +132055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.782247044,1 +132059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.002744492,1 +132057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.168574011,1 +132061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.157449887,1 +132062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.124565553,1 +132063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.420790692,1 +132060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.598806948,1 +132064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.166319432,1 +132065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.676134173,1 +132066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.540735954,1 +132067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.689501902,1 +132068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.822640836,1 +132069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.153271325,1 +132070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.895894975,1 +132071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.903882274,1 +132073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.701168532,1 +132072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.872604189,1 +132074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.000169743,1 +132076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.706040908,1 +132077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.652277407,1 +132078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.507971384,1 +132075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.81503916,1 +132079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.551333609,1 +132080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,1.944956123,1 +132081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.752451466,1 +132083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.841585155,1 +132084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.801736971,1 +132085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.45386947,1 +132082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.006021676,1 +132086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.383581983,1 +132088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.646387297,1 +132087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.348542044,1 +132089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.475616874,1 +132091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.31983852,1 +132090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.870447327,1 +132092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.675795104,1 +132093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.740426092,1 +132095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.780229057,1 +132094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.828095843,1 +132096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.401887686,1 +132099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.381289514,1 +132098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.359132393,1 +132097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.841074262,1 +132100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.34709336,1 +132101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.693842818,1 +132102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,7.47922998,1 +132103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,1.625753666,1 +132104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.06809397,1 +132107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.769313233,1 +132106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.076865765,1 +132105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.765576849,1 +132108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.0114261,1 +132109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.270940954,1 +132110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.483106545,1 +132111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.680640218,1 +132112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.566039213,1 +132114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.603266439,1 +132115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.268530891,1 +132116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.730302037,1 +132117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,7.760400728,1 +132118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.997434446,1 +132113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.791472996,1 +132120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.290765867,1 +132119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.216275755,1 +132122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.792784444,1 +132121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.050430839,1 +132123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.384007293,1 +132124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.871682781,1 +132125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.183646682,1 +132126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.742011654,1 +132127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.388595231,1 +132128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.259393025,1 +132129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.261145764,1 +132130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.416925915,1 +132131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.800832784,1 +132132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.809485602,1 +132134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.962599707,1 +132135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.169232003,1 +132136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.715640305,1 +132133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,7.775421185,1 +132138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.33419352,1 +132137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.651197853,1 +132139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.217224092,1 +132140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,7.264811961,1 +132141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,7.065035987,1 +132143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,7.712835521,1 +132142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.163282027,1 +132145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.524234778,1 +132144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,1.941075406,1 +132146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.4426329,1 +132148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.580182686,1 +132149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.240729856,1 +132147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.83151254,1 +132150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.063390883,1 +132151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.80367643,1 +132153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.351449114,1 +132152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.742806127,1 +132154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.014332747,1 +132155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.756597268,1 +132157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.97092569,1 +132158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.237669494,1 +132156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.661369925,1 +132159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.299398397,1 +132161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.548608019,1 +132160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.71184381,1 +132163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.268332188,1 +132162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.728126313,1 +132164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.134133763,1 +132165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.350764438,1 +132167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,1.976873377,1 +132166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.591236142,1 +132168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.569654712,1 +132170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.680599806,1 +132169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.343975212,1 +132171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.342625492,1 +132172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.031974532,1 +132175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.567850415,1 +132174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.938258099,1 +132176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.63210998,1 +132177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.690748712,1 +132178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,7.313638029,1 +132179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.166636403,1 +132173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.665229952,1 +132180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.125352313,1 +132182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.626013346,1 +132183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.433660614,1 +132184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.970970189,1 +132185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.646465684,1 +132186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.306772297,1 +132181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.661532043,1 +132187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.118655077,1 +132188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,7.932499634,1 +132189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.806265985,1 +132191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.498778657,1 +132190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.642355392,1 +132192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.922659608,1 +132193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.912077714,1 +132194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.94850242,1 +132196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.632140554,1 +132195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.711640382,1 +132197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.579722625,1 +132199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.797951706,1 +132198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.190241395,1 +132200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,1.794989513,1 +132201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.971746322,1 +132202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.605759189,1 +132203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.40881007,1 +132205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.755036853,1 +132207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.748731937,1 +132206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.204313283,1 +132204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.790545716,1 +132208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.503893145,1 +132210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.789759693,1 +132209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.078299482,1 +132212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.531909179,1 +132211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.643692165,1 +132213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.586030514,1 +132214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.769078613,1 +132215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.140486865,1 +132216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.571519805,1 +132217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.117870857,1 +132218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.36480257,1 +132219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.191518299,1 +132220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.837921228,1 +132222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.944774054,1 +132221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.424898185,1 +132223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.876638665,1 +132224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.558423645,1 +132226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,8.413560719,1 +132225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,7.078343133,1 +132227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.519925773,1 +132228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.026452317,1 +132229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.881937729,1 +132230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.723141374,1 +132232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,7.391543504,1 +132231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.148820972,1 +132233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.144830456,1 +132235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.647004139,1 +132234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.16227181,1 +132236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.912872537,1 +132237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.603083217,1 +132238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.979741276,1 +132239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.777706674,1 +132240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.618153968,1 +132241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.182727927,1 +132242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.524379803,1 +132244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.901311204,1 +132243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.944104254,1 +132245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.707065374,1 +132246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.843836175,1 +132247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.958453092,1 +132249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.397542484,1 +132248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.175520683,1 +132250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.019983943,1 +132251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.273690562,1 +132252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.04446863,1 +132254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.89070667,1 +132253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.600657726,1 +132255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.03155082,1 +132256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.480059449,1 +132257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.931675529,1 +132258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.665245049,1 +132259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.07007126,1 +132260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.020289535,1 +132261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.322480615,1 +132262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.642849184,1 +132263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.892177145,1 +132264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.480610398,1 +132265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.355047157,1 +132266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.513078287,1 +132267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.478257232,1 +132268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.132306149,1 +132269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.96938437,1 +132270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.40068871,1 +132271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,1.623149297,1 +132272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.687012996,1 +132273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.970422837,1 +132276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.531039049,1 +132275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.31200831,1 +132274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.334434041,1 +132277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.998515806,1 +132278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.772233574,1 +132279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.220709869,1 +132281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.600696424,1 +132280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.713450239,1 +132282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.521123028,1 +132283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.477334276,1 +132284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.242484137,1 +132287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.326548048,1 +132286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.319101029,1 +132288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.710569646,1 +132285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.008165189,1 +132289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.829945733,1 +132290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,7.260465611,1 +132291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.823771823,1 +132292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.98276672,1 +132293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.597210567,1 +132294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.223180139,1 +132295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.918391903,1 +132297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.984986223,1 +132298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.980803868,1 +132296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.027698323,1 +132299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.147566965,1 +132300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.135240157,1 +132301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,7.924860247,1 +132303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.908649636,1 +132302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.189963747,1 +132306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.632315267,1 +132304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.553000223,1 +132305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.079415578,1 +132307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.604862822,1 +132308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.933918872,1 +132309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.446626117,1 +132310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.92940425,1 +132311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.083370881,1 +132312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.590843363,1 +132313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.123012641,1 +132314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.104061415,1 +132315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.527274631,1 +132316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.180434817,1 +132317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.634650445,1 +132318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.37582176,1 +132321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.581748504,1 +132320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,7.351220463,1 +132319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.760090584,1 +132322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.134596669,1 +132324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.333779376,1 +132323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.057804659,1 +132325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.860445613,1 +132326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.968591945,1 +132327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.394213528,1 +132328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.955338951,1 +132329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.454339026,1 +132330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.951016657,1 +132331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.757036332,1 +132332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.543227635,1 +132336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.270447349,1 +132333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.737133469,1 +132335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,7.296852409,1 +132334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.356956357,1 +132338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.993446188,1 +132339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.945417093,1 +132337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.608664905,1 +132340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.778275371,1 +132342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.19902287,1 +132341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.396628742,1 +132343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.519453809,1 +132344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.800584819,1 +132345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.983174964,1 +132348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.19425566,1 +132347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.731313589,1 +132346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.923545491,1 +132349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.399645893,1 +132351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.342323092,1 +132350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.44622562,1 +132352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.432451565,1 +132353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.768402718,1 +132355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.708825986,1 +132356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.613657869,1 +132354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.421595717,1 +132357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.389455037,1 +132358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.302478912,1 +132361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.837770819,1 +132359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.083794088,1 +132362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.046856358,1 +132360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.099372276,1 +132363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.11213296,1 +132365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.299185335,1 +132364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.360209851,1 +132366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.625156717,1 +132370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.52445806,1 +132369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.038836873,1 +132367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.595242271,1 +132368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,7.367299739,1 +132373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.129657682,1 +132372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.83818251,1 +132374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,7.575196948,1 +132375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.825729392,1 +132371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.431132572,1 +132377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.589099566,1 +132376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.558236376,1 +132378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.934370922,1 +132380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.579137544,1 +132381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.3378106,1 +132379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.466650625,1 +132382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.654796011,1 +132383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.51816618,1 +132384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,7.057240036,1 +132385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.969917503,1 +132386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.582852059,1 +132387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.206236429,1 +132389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.020045485,1 +132388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.359191992,1 +132390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,1.952016483,1 +132391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.781985268,1 +132393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.607967504,1 +132394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.072369163,1 +132395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.258203785,1 +132392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.488101053,1 +132396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.126767279,1 +132398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.857663969,1 +132399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.923541167,1 +132397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.681859566,1 +132400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.767081592,1 +132402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.848261966,1 +132401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.632697088,1 +132403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.872654412,1 +132404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.614410734,1 +132405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.32219788,1 +132406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.02474183,1 +132407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.457382712,1 +132408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.256616849,1 +132409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.078477546,1 +132410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.091658391,1 +132412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.895917174,1 +132411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,7.316276076,1 +132414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.654480492,1 +132413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.092514412,1 +132415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.567059591,1 +132416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.411888617,1 +132417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.497272088,1 +132418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.488305632,1 +132419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.90714117,1 +132420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.976623,1 +132421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.878064731,1 +132422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.597565513,1 +132423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.285566724,1 +132425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.669746659,1 +132424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.671548788,1 +132427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.356437528,1 +132426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.804197215,1 +132430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.493238154,1 +132429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.852729422,1 +132428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.093783097,1 +132432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.569742317,1 +132431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.033122834,1 +132435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,1.711226752,1 +132434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.438951952,1 +132433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.959981288,1 +132436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.01958112,1 +132437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.68059596,1 +132438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.636991458,1 +132440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.658436625,1 +132441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.667081048,1 +132442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.106325632,1 +132439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.351862078,1 +132446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.886470625,1 +132443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.54956166,1 +132444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.887318478,1 +132445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.159361807,1 +132447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.795536518,1 +132448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.91681477,1 +132449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.655838021,1 +132450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.802130469,1 +132451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.587570363,1 +132452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.033279031,1 +132453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.650618662,1 +132455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.831178686,1 +132456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.598388126,1 +132454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.896254794,1 +132457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.06274661,1 +132458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.458598011,1 +132459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.135467693,1 +132460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.642484717,1 +132461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.504122691,1 +132462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.607770875,1 +132463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.371281445,1 +132464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.518481497,1 +132466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.759749575,1 +132467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.373210592,1 +132468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.439859394,1 +132469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.737809133,1 +132465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.063210896,1 +132471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.056225274,1 +132472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.850116024,1 +132474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.955322142,1 +132473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.356147312,1 +132470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.59107632,1 +132475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.693563201,1 +132477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.259787329,1 +132478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.890372871,1 +132476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.700455819,1 +132479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.642637501,1 +132481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.613216223,1 +132482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.102876073,1 +132480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.296393607,1 +132483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.403876624,1 +132484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.62805945,1 +132485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.698004377,1 +132487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,7.850919575,1 +132489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.556444623,1 +132486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.532496536,1 +132488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.441493106,1 +132490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.621243834,1 +132491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.509899947,1 +132492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.428521305,1 +132493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.131885057,1 +132494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.455349388,1 +132495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.246118014,1 +132496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.464942626,1 +132497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.366860936,1 +132498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.567152254,1 +132499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.695574374,1 +132501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.589972615,1 +132502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.291119586,1 +132500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.231100594,1 +132503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,7.615807577,1 +132505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.488002973,1 +132504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.428897786,1 +132507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.776780294,1 +132508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.783606797,1 +132506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.403822137,1 +132509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.493112682,1 +132511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.164769299,1 +132510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.268178393,1 +132512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.902089769,1 +132513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.319069896,1 +132514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,7.894843846,1 +132515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.569428765,1 +132516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.403019902,1 +132517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.702858092,1 +132518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.515674229,1 +132519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.343415598,1 +132520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.690665352,1 +132521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.60780887,1 +132522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.423588321,1 +132524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.504227899,1 +132525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.979595804,1 +132526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.981826901,1 +132523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.797327078,1 +132527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.834011506,1 +132528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.748514718,1 +132529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.424528354,1 +132531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,1.779517271,1 +132530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.26056854,1 +132532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.584511478,1 +132533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.586171851,1 +132536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.527700125,1 +132534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.046497403,1 +132535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.04882828,1 +132537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.585024542,1 +132539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.182748207,1 +132540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.036078431,1 +132538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.836224619,1 +132541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.714318559,1 +132542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.87241594,1 +132544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.67093851,1 +132545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,1.956734568,1 +132543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.784455352,1 +132547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.946280467,1 +132548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.419515557,1 +132546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.224496194,1 +132550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.662932031,1 +132551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.684875775,1 +132549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.032716564,1 +132552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.140977029,1 +132555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.933059842,1 +132554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,7.515055511,1 +132553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.490204223,1 +132556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.744123874,1 +132557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,8.088309826,1 +132558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.336508424,1 +132559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.278073637,1 +132561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.704430804,1 +132562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,1.988907164,1 +132560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.904951293,1 +132563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.22520119,1 +132565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.508393334,1 +132566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.376553213,1 +132567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.666292953,1 +132564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.66634133,1 +132568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.291093847,1 +132569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.797597487,1 +132570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.375773689,1 +132571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.941062048,1 +132572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.950952177,1 +132573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.299708769,1 +132574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.752486638,1 +132575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.191293507,1 +132576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.631104277,1 +132578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.94153634,1 +132579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.907203625,1 +132577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.23264094,1 +132580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.358122599,1 +132581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.576699454,1 +132583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.020320703,1 +132584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.010384163,1 +132582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.70975458,1 +132585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.04425469,1 +132587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.523303802,1 +132588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.594743962,1 +132589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.177886262,1 +132590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.678251111,1 +132591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.539723033,1 +132592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.834859267,1 +132586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.950980204,1 +132593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.915309042,1 +132594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.608496043,1 +132595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.062465152,1 +132596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.721362938,1 +132597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.568047605,1 +132598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.296145959,1 +132599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.636745926,1 +132601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.514185753,1 +132600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.297249791,1 +132602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.461983151,1 +132603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,7.477711691,1 +132604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.397626735,1 +132605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.510258211,1 +132606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.284265875,1 +132608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.191874845,1 +132607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.045047388,1 +132610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.327265424,1 +132611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.964927297,1 +132612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.909571764,1 +132609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.643257578,1 +132613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.860157411,1 +132614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.229517136,1 +132615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.632736533,1 +132616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.397822098,1 +132618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.090252357,1 +132617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.433926061,1 +132619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.996116446,1 +132620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.986990358,1 +132622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.875611378,1 +132621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.661678762,1 +132623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.482800941,1 +132626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.395511615,1 +132625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.095159054,1 +132627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.445508144,1 +132624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.829564829,1 +132628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.259651517,1 +132629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.247653163,1 +132630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.187571198,1 +132631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.68480035,1 +132632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.511473391,1 +132633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.658402585,1 +132634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.036530032,1 +132635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.285412987,1 +132636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.952486125,1 +132637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.125029129,1 +132638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.222737851,1 +132639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.893475163,1 +132640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.250890366,1 +132641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.466590322,1 +132642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,7.796137334,1 +132644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.017746712,1 +132645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.883160009,1 +132643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,7.072568837,1 +132646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.716606047,1 +132647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.564769052,1 +132650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.384241261,1 +132649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.733091528,1 +132651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.7622432,1 +132652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.632055584,1 +132648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.885006763,1 +132653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.990281678,1 +132654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,1.638402467,1 +132655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.177933438,1 +132658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.500101914,1 +132657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.303513702,1 +132656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.082143557,1 +132659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.37748129,1 +132661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.286297652,1 +132662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.681195854,1 +132660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.050987161,1 +132663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.332929415,1 +132665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.50583416,1 +132664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.1441739,1 +132666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,7.158925078,1 +132667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.470646339,1 +132668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.838881296,1 +132670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.276170793,1 +132671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.242606849,1 +132672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.38364905,1 +132669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.175662312,1 +132674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.201770138,1 +132673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.614821028,1 +132676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.861545991,1 +132675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.066615889,1 +132679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.109441392,1 +132677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.286198708,1 +132680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.064170563,1 +132678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.956061296,1 +132682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.931959414,1 +132681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.650786682,1 +132683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.216515792,1 +132684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.458127908,1 +132685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.529241895,1 +132687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.094730516,1 +132688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.570244179,1 +132689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.207668428,1 +132686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.480001104,1 +132690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.344591699,1 +132693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.460976971,1 +132692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.070559734,1 +132694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.125003511,1 +132695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.564922059,1 +132696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.31517493,1 +132697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.431731622,1 +132699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.033048702,1 +132698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.981352245,1 +132691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.999580704,1 +132702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.107022744,1 +132700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.106457071,1 +132701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.296509896,1 +132703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.080420165,1 +132706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.550670043,1 +132707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.500963396,1 +132704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.095550625,1 +132705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.747553751,1 +132708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.229553928,1 +132709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.388115554,1 +132710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.874768457,1 +132711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.826399412,1 +132712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.401270233,1 +132715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.531850727,1 +132714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.068211799,1 +132716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.771586855,1 +132717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.188935641,1 +132718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.373770036,1 +132713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.095436127,1 +132719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.778632608,1 +132720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.285673167,1 +132722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.113813575,1 +132721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.55356027,1 +132723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,8.553656122,1 +132725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.245756252,1 +132724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.456217597,1 +132726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.395985238,1 +132727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.14936862,1 +132728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.268747096,1 +132729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.194157832,1 +132730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.820946314,1 +132731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.49071736,1 +132733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.066887806,1 +132734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.168600402,1 +132735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.643543998,1 +132736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.91393604,1 +132732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,7.007144772,1 +132737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.987219234,1 +132738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.350126348,1 +132739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.258035195,1 +132740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.160897217,1 +132741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.895491577,1 +132742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.316141678,1 +132743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.40421222,1 +132744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.578919159,1 +132745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.467313631,1 +132746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.264487147,1 +132747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.331959496,1 +132748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.921829404,1 +132750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.545676329,1 +132749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.131943828,1 +132751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.240698421,1 +132753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.614272424,1 +132754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,7.694270352,1 +132752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.00657616,1 +132755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.085090063,1 +132756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.869583495,1 +132757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,7.286175714,1 +132758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.848007714,1 +132759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.930978938,1 +132761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.488706872,1 +132760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.494313361,1 +132763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.994850416,1 +132762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.458661188,1 +132764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.396107468,1 +132765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.816337003,1 +132766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,7.642895198,1 +132768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.450216756,1 +132769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,8.119615593,1 +132767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,7.083223211,1 +132770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.516925621,1 +132771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.714489139,1 +132772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.353844933,1 +132774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.10424899,1 +132773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.958214431,1 +132775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.648518023,1 +132776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.964124672,1 +132777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.796920627,1 +132779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.00670199,1 +132780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.875950545,1 +132781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.050804677,1 +132778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.754402365,1 +132782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.113298981,1 +132783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.64867849,1 +132785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.708259199,1 +132784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.165997029,1 +132786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.298218736,1 +132787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.748001156,1 +132789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.144690668,1 +132790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.607766929,1 +132791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.775149164,1 +132792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.188622066,1 +132793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.325511336,1 +132788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.186810397,1 +132794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.832953723,1 +132795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.277101603,1 +132796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.523983026,1 +132798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.833996256,1 +132797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.315803923,1 +132799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.07568452,1 +132802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.579029561,1 +132800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.293806707,1 +132801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.058722903,1 +132803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.95559154,1 +132804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.11539441,1 +132805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.970772315,1 +132806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.829134133,1 +132807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.702278237,1 +132809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.87856205,1 +132810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.738043131,1 +132811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.063077273,1 +132813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,7.230177629,1 +132812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.957271724,1 +132808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.469296995,1 +132814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.020793322,1 +132816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.76052851,1 +132817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.030663947,1 +132815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.447217918,1 +132818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,7.522381066,1 +132819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.342127739,1 +132821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.149626966,1 +132820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.745580391,1 +132822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.364653989,1 +132823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.496779444,1 +132824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.750449758,1 +132825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.409758631,1 +132826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.798981251,1 +132827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.765271288,1 +132828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.71131558,1 +132829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.257497463,1 +132830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.727781888,1 +132831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.912412686,1 +132832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.171220956,1 +132834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.503700146,1 +132835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.730125214,1 +132833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.412016076,1 +132836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.025931033,1 +132837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.574145418,1 +132838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.591369481,1 +132839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.282160012,1 +132841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.957581248,1 +132840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.97170766,1 +132842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.294785239,1 +132844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.14867806,1 +132843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.605051555,1 +132845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.608978253,1 +132846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.630485019,1 +132847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.693470569,1 +132848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.276108735,1 +132850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.323404873,1 +132849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,1.825362729,1 +132851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.037521741,1 +132853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.825717059,1 +132852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.001478537,1 +132855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.223322659,1 +132856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.770040905,1 +132854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.30346568,1 +132857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.250590568,1 +132858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.109974116,1 +132860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,7.053955305,1 +132859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.635111986,1 +132861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.259220004,1 +132863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.045343213,1 +132862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.999984781,1 +132864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.691795755,1 +132866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.909590176,1 +132867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.487719188,1 +132868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.709491573,1 +132865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.320429848,1 +132870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.520739186,1 +132871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.594327839,1 +132869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.654177141,1 +132872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.609035098,1 +132873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.649888513,1 +132874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.64302246,1 +132876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.108353047,1 +132875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.720756801,1 +132877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.301313735,1 +132878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.801989907,1 +132879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.37302464,1 +132880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.380231192,1 +132881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.859203667,1 +132882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.7569906,1 +132884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.024927751,1 +132885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.409721365,1 +132886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.194235774,1 +132883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.262950524,1 +132888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.876991915,1 +132889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.537237648,1 +132891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.302968255,1 +132887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.799569019,1 +132890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.500414577,1 +132892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.742087575,1 +132894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.427032793,1 +132895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.381716601,1 +132893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.325120878,1 +132897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.518157937,1 +132896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.380820729,1 +132898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.145160377,1 +132899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.935683445,1 +132900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.582420698,1 +132901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.430961964,1 +132903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.175535579,1 +132904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.740930593,1 +132905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.288002613,1 +132906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.233474277,1 +132902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.797762562,1 +132907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.617617861,1 +132908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.689859515,1 +132910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.984651071,1 +132909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.162248194,1 +132911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.839816362,1 +132912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.374340616,1 +132914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.591878782,1 +132913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.335508923,1 +132916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.635283958,1 +132915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.024737734,1 +132917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.846044269,1 +132918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.092678073,1 +132919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.420407463,1 +132920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.901784172,1 +132921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.856147774,1 +132924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.690393866,1 +132923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.60871345,1 +132925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.765436072,1 +132922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.21664647,1 +132926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.081589615,1 +132928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.163619141,1 +132927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.780916899,1 +132929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,8.842077041,1 +132930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.865049453,1 +132931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.384280696,1 +132932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.531734917,1 +132933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.754333959,1 +132934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.531519516,1 +132935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,1.943766492,1 +132936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.782723746,1 +132939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.3953541,1 +132938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.130305977,1 +132940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,1.987366886,1 +132937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.221346969,1 +132941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.83075491,1 +132942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.255128936,1 +132943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.210692285,1 +132944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.488258893,1 +132945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.067105091,1 +132946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.96704288,1 +132947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.151127137,1 +132948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.395725097,1 +132949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.847219065,1 +132950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.334504199,1 +132951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.551341849,1 +132952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.083866551,1 +132953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.91508418,1 +132954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.061653957,1 +132955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.194188782,1 +132958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.015324141,1 +132957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.50265961,1 +132959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.838990236,1 +132956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.473133201,1 +132960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.750685906,1 +132961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.104189995,1 +132962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.251471853,1 +132964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.597454921,1 +132966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.168807721,1 +132965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.049244818,1 +132963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.506332953,1 +132969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.748810087,1 +132967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.674918375,1 +132970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.724114243,1 +132968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.669783205,1 +132971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.253329199,1 +132972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.462844829,1 +132973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.743610906,1 +132974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,2.871151149,1 +132975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.838868956,1 +132976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.013052016,1 +132978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.534043426,1 +132979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.612392296,1 +132980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.368938991,1 +132981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.94388498,1 +132977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.536547979,1 +132984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.623012276,1 +132982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.870183903,1 +132983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.008499846,1 +132985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.501795469,1 +132987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.189304877,1 +132988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,7.077483181,1 +132986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.638871774,1 +132989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.024614574,1 +132990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.565055406,1 +132991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.415658259,1 +132992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.95283017,1 +132994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,6.280336971,1 +132995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.563741069,1 +132996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.852737722,1 +132997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,5.542825601,1 +132998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,7.378600736,1 +132999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.539732678,1 +132993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,3.435248349,1 +133000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,3,1,4.89890734,1 +142001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.423817759,1 +142002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.334305484,1 +142004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.711106362,1 +142005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.408851134,1 +142003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.714721601,1 +142006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.213332164,1 +142007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.425163006,1 +142008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.20770595,1 +142009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.164502031,1 +142010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.509461136,1 +142012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.864382894,1 +142011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.480027749,1 +142013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.126480463,1 +142015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.604638263,1 +142014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.679733837,1 +142016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.272807228,1 +142017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.165472247,1 +142018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.806378159,1 +142020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.214463658,1 +142019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.419329335,1 +142022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.808175472,1 +142021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.503076938,1 +142023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.515044934,1 +142024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.161546801,1 +142025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.030014589,1 +142027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.746261564,1 +142028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.123344638,1 +142026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.654167326,1 +142029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.619587881,1 +142030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.162644486,1 +142031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.809500309,1 +142034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.387620277,1 +142033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.312754711,1 +142035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.28147428,1 +142032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.133475955,1 +142036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.258403393,1 +142037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.27206784,1 +142039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.782497846,1 +142038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.696544492,1 +142042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.86906723,1 +142040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.374104996,1 +142041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.433067518,1 +142043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.146408607,1 +142045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.019500649,1 +142046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.307350134,1 +142047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.871477759,1 +142048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.812216695,1 +142044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.421283756,1 +142049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.701719247,1 +142050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.432305698,1 +142051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.2595211,1 +142053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.203656664,1 +142054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.069302163,1 +142052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.079606764,1 +142055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.071330802,1 +142057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.311937048,1 +142056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.89126502,1 +142058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.482056445,1 +142059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.706122104,1 +142060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.40445721,1 +142061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.674447573,1 +142063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.853202971,1 +142062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.250951895,1 +142064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.959971204,1 +142065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.658869816,1 +142066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.151478741,1 +142068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.87813034,1 +142069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.603973374,1 +142070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.670039338,1 +142067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.74776269,1 +142072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.864126242,1 +142071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.803029273,1 +142073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.361512736,1 +142074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,8.028585643,1 +142076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.77453372,1 +142075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.858944386,1 +142077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.193817334,1 +142078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.635460582,1 +142079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.171839734,1 +142080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.941302202,1 +142081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.154584634,1 +142083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.139226308,1 +142082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.771229001,1 +142084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.126045339,1 +142085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.267438043,1 +142086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.082992016,1 +142087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.388854401,1 +142088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.099597532,1 +142089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.352779852,1 +142090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.117456164,1 +142092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.312046027,1 +142091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.506616173,1 +142093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,7.456195525,1 +142094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.173588017,1 +142095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.732403136,1 +142097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.951995121,1 +142096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.395591093,1 +142099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.289944704,1 +142098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.55924935,1 +142100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.747658543,1 +142101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.883892568,1 +142103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.88788431,1 +142102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.024476969,1 +142104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.048320976,1 +142107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.10523466,1 +142106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.236269465,1 +142108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.418574208,1 +142105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.535256005,1 +142109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.010062664,1 +142110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.15865203,1 +142112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.635275761,1 +142111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.596767389,1 +142113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.758837152,1 +142116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.347419561,1 +142115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.3852332,1 +142114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.242926829,1 +142117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.025576929,1 +142118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.983623831,1 +142120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.662721389,1 +142121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.560488091,1 +142119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.43967754,1 +142123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.761597498,1 +142124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.353787261,1 +142122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.412870648,1 +142126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.508704018,1 +142125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.134168891,1 +142127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.147417132,1 +142130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.167539246,1 +142128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.98653665,1 +142129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.131824564,1 +142131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.941675544,1 +142132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.428834324,1 +142133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.806040053,1 +142134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.975898582,1 +142135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.612182207,1 +142137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.650326358,1 +142138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.674484894,1 +142139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.880280849,1 +142140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.90538085,1 +142141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.524899489,1 +142136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,9.414244322,1 +142142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.138702169,1 +142145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,7.247098096,1 +142143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.763152103,1 +142144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.13967114,1 +142146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.56642905,1 +142148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.229179393,1 +142147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.562318337,1 +142150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.687583388,1 +142149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.850278469,1 +142152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,7.123067568,1 +142151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.263906387,1 +142153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.71293028,1 +142154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.29743828,1 +142156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.728808849,1 +142157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.984675694,1 +142158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.28299695,1 +142160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,7.959752485,1 +142155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.706875845,1 +142161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.773277454,1 +142159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.019114259,1 +142163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.563808864,1 +142162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,7.96973818,1 +142164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.659006747,1 +142165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.266996457,1 +142166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.132558277,1 +142167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.265819372,1 +142168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.477775921,1 +142169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.197606131,1 +142170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.306938367,1 +142172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.224204843,1 +142171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.391579857,1 +142173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.494832869,1 +142175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.680865157,1 +142176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.310440841,1 +142174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.722639778,1 +142177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.652077005,1 +142178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.033695584,1 +142179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.342681742,1 +142180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.438941936,1 +142181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.498098564,1 +142182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.50781872,1 +142183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.171927807,1 +142184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.370228792,1 +142185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.555891701,1 +142186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.678619542,1 +142187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,7.195179039,1 +142189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.637123712,1 +142188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.787390749,1 +142190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.401587483,1 +142191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.206461826,1 +142192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.216779437,1 +142193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.696970396,1 +142194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.40102288,1 +142195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.401443049,1 +142196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.205271531,1 +142198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.723631862,1 +142197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.269986195,1 +142200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.508838763,1 +142201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.196566477,1 +142199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.999888451,1 +142202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.921057281,1 +142203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.40103751,1 +142204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.988016755,1 +142206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,7.454483306,1 +142205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,8.409061339,1 +142207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.827893225,1 +142208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.500882919,1 +142210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.88632593,1 +142209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.649683761,1 +142211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.9253383,1 +142212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.708595732,1 +142214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.68641532,1 +142215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.963754871,1 +142213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.562059479,1 +142216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.49309516,1 +142217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.854937055,1 +142218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.00125755,1 +142220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.798081852,1 +142219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.926249059,1 +142221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.235679728,1 +142224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.99947885,1 +142222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.60927636,1 +142223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.318207414,1 +142225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.465405829,1 +142226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.409315206,1 +142227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.352372458,1 +142228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.083119504,1 +142230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.123943238,1 +142229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.266856283,1 +142231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.284357916,1 +142232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.914419173,1 +142233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.065664714,1 +142235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.840629901,1 +142236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.968157967,1 +142237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.48146996,1 +142234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.592046,1 +142238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,7.861464156,1 +142239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,8.602764959,1 +142240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.786427991,1 +142241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.81022875,1 +142243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.906107743,1 +142242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.263215013,1 +142244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.569920504,1 +142245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.66340819,1 +142247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.630006042,1 +142246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.46938452,1 +142249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.884250873,1 +142251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.194088431,1 +142250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.482577981,1 +142248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.598910006,1 +142254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.138025817,1 +142255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.596168171,1 +142253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.054489378,1 +142252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.974326244,1 +142256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.835759885,1 +142258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.986561974,1 +142257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.570336521,1 +142259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.248720529,1 +142260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.410511168,1 +142261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.357093044,1 +142263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.611274909,1 +142262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.702759934,1 +142265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.667877755,1 +142264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.117893043,1 +142266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.452828255,1 +142267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.772218252,1 +142269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.069009682,1 +142268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.569054514,1 +142270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.03626871,1 +142272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.6508278,1 +142273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.243156369,1 +142274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,7.803437596,1 +142271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.212693523,1 +142275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.620327923,1 +142276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.999056329,1 +142277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.331726635,1 +142279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.620592695,1 +142280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.121890296,1 +142281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.092824672,1 +142278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.614156911,1 +142282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.602904093,1 +142283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.355778429,1 +142285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.957641441,1 +142284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.202329833,1 +142287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.760637305,1 +142286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.18985266,1 +142289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.755822081,1 +142288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.735730145,1 +142291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.705376537,1 +142290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.864747776,1 +142292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.248760526,1 +142294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.43093307,1 +142295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.607254789,1 +142293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.403575169,1 +142296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.17550888,1 +142297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.56645162,1 +142298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.343568834,1 +142300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.386060594,1 +142299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.418895932,1 +142301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.201653605,1 +142302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.800561602,1 +142303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.439794385,1 +142304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.454605686,1 +142305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.936801856,1 +142306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.960253541,1 +142307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.340375398,1 +142308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.47141504,1 +142309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.218257679,1 +142310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.719542586,1 +142311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.963549179,1 +142314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.663913809,1 +142313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.93431345,1 +142315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.651379743,1 +142312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.143043983,1 +142316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.537443095,1 +142319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.667401399,1 +142318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.032053567,1 +142317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,7.757483208,1 +142320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.671702163,1 +142323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.537901898,1 +142321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.961456276,1 +142322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.598857216,1 +142324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.207107342,1 +142325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.656350018,1 +142326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.600968834,1 +142327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.870809968,1 +142328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.674261857,1 +142329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.192297185,1 +142331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.724849708,1 +142330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.399312795,1 +142332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.070204204,1 +142333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,7.35395895,1 +142334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.315698257,1 +142336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.036743899,1 +142337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.925890491,1 +142338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.427006275,1 +142335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.273456018,1 +142339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.139241391,1 +142340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.543127755,1 +142341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.923261729,1 +142342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.000004594,1 +142343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.03207186,1 +142344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.177342195,1 +142345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.99728601,1 +142346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.556346982,1 +142347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,7.547625961,1 +142348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.121297087,1 +142349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.713838221,1 +142351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.074419997,1 +142352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.876233547,1 +142353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.374772072,1 +142350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.685064024,1 +142354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.700787892,1 +142355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.677215083,1 +142356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.288236384,1 +142358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.54386903,1 +142359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.635089246,1 +142360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.496712185,1 +142357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.605023417,1 +142362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.081935513,1 +142363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.753922812,1 +142361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.620398974,1 +142364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.24773758,1 +142365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.191542038,1 +142366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.340970002,1 +142367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.091124319,1 +142369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.852231944,1 +142370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.440954791,1 +142371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.338147276,1 +142368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.281661613,1 +142372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.206215443,1 +142373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.033099071,1 +142374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.219811003,1 +142377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.652066845,1 +142375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.877795087,1 +142376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.64565421,1 +142378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.728234504,1 +142380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.294985501,1 +142379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.446285853,1 +142381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.211900292,1 +142382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.140141997,1 +142383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.117177272,1 +142384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.295776346,1 +142385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.717234226,1 +142386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.61798703,1 +142387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.400887347,1 +142388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.098355417,1 +142389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.201836527,1 +142390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.34958736,1 +142392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.949562583,1 +142393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.962283453,1 +142394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.320212054,1 +142391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.305504923,1 +142395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.879192003,1 +142396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.939199441,1 +142397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.754450282,1 +142399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.439338493,1 +142400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.307300018,1 +142398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.180056043,1 +142401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.385983983,1 +142402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.48007881,1 +142403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.241675346,1 +142404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.31641078,1 +142405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.915484993,1 +142406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.554668051,1 +142407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.364607509,1 +142409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.699646058,1 +142408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.957884733,1 +142410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.415970255,1 +142411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.073233866,1 +142412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.267216668,1 +142414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.598372073,1 +142415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,0.756845041,1 +142413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.023215898,1 +142416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.841572494,1 +142417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.64830598,1 +142418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.078886297,1 +142419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.683949391,1 +142421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.741882606,1 +142420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.266172361,1 +142422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.070012226,1 +142423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.396922054,1 +142424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.079758667,1 +142425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.460134162,1 +142426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.08747208,1 +142428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.537225516,1 +142429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.642214625,1 +142430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.987879826,1 +142431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.715145249,1 +142432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.015044881,1 +142427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.943704412,1 +142433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.389718137,1 +142435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.95994844,1 +142434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.227779172,1 +142437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.392488607,1 +142438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.760867099,1 +142436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.086039513,1 +142439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.584337902,1 +142442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.797238765,1 +142440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.970612033,1 +142441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.130482733,1 +142443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.298471942,1 +142444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.717527981,1 +142445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.274462517,1 +142446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.471065701,1 +142447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.001622725,1 +142449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.749107759,1 +142450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.818363399,1 +142451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.694139496,1 +142448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.847429823,1 +142452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.612690002,1 +142453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.647881094,1 +142454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.213704493,1 +142456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.846016212,1 +142457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.128997767,1 +142455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.236093047,1 +142458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.007478014,1 +142459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.204288109,1 +142460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.409210331,1 +142461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.601224224,1 +142462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.848842274,1 +142464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.054636233,1 +142465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.366325138,1 +142463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.772958704,1 +142467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.763343877,1 +142468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.668028608,1 +142469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.60681817,1 +142466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.210826558,1 +142470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.365522416,1 +142473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,7.224019213,1 +142471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.787805302,1 +142472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.359364356,1 +142474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.407247054,1 +142475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.670079417,1 +142476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.510532781,1 +142477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.364051226,1 +142478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.032669316,1 +142480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.783406997,1 +142479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.387856697,1 +142481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.110480436,1 +142482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.271705249,1 +142483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.35524655,1 +142485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.70027612,1 +142484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.155702967,1 +142488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.331877979,1 +142486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.718219683,1 +142487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.786569442,1 +142489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.271979162,1 +142490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.569704821,1 +142492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.830864105,1 +142491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.69279918,1 +142493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.328286939,1 +142494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.716564183,1 +142495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.821590595,1 +142496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.156071224,1 +142497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.025002799,1 +142498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.986833314,1 +142499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.962188075,1 +142500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.176588764,1 +142501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.20725513,1 +142502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.856658703,1 +142503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.312048805,1 +142506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.486537547,1 +142505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.22817074,1 +142507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.367993697,1 +142504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.10544242,1 +142508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.588596081,1 +142509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.732759127,1 +142510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.448885461,1 +142511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.550393395,1 +142512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.48350174,1 +142513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.522583601,1 +142514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,7.364692944,1 +142515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.151970485,1 +142516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.973700969,1 +142518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.013773828,1 +142517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.437852981,1 +142519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.323615814,1 +142520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.132690376,1 +142523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,0.623386025,1 +142521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.347176088,1 +142522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.791659777,1 +142524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.870051543,1 +142526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.720248769,1 +142527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.621437883,1 +142528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.693616551,1 +142529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.398703378,1 +142525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.031690863,1 +142530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,9.400101639,1 +142531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.118325213,1 +142532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.812762519,1 +142533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.648219597,1 +142534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.941984503,1 +142535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.296350535,1 +142536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.540844981,1 +142537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.724596137,1 +142538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,7.548360069,1 +142539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.93153801,1 +142540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.093149829,1 +142541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.730001958,1 +142543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.496939876,1 +142542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.71876221,1 +142544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.560820059,1 +142546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.214709516,1 +142545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.322721161,1 +142547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.629200417,1 +142548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.74879575,1 +142549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.025631276,1 +142550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.00628919,1 +142552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.782978533,1 +142553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.233604328,1 +142554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.337939518,1 +142555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.30863414,1 +142556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.749198408,1 +142551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.875132357,1 +142557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.180286463,1 +142558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.192649226,1 +142559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.520063545,1 +142561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,7.016572148,1 +142562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.253104985,1 +142560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.726481154,1 +142564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.702971644,1 +142563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.431401163,1 +142566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.644672834,1 +142565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.735307319,1 +142568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.089217115,1 +142567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.620733196,1 +142569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.959427459,1 +142570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.480298898,1 +142571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.613299725,1 +142572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.783087495,1 +142574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.308202021,1 +142575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.40488905,1 +142576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.86345444,1 +142573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.27554121,1 +142577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.194055833,1 +142578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.831623028,1 +142580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.380719001,1 +142579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.820245079,1 +142581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.233979673,1 +142582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.236498407,1 +142584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.168658242,1 +142583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.8138992,1 +142585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.390698467,1 +142587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.487117703,1 +142586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.443967315,1 +142588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.408443146,1 +142589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.154406494,1 +142590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.759898331,1 +142591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,7.819156386,1 +142593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,1.990789568,1 +142594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.576661103,1 +142592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.344810242,1 +142595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.103984831,1 +142596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.30091858,1 +142597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.413683642,1 +142598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.068885638,1 +142599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.138593731,1 +142600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.313793644,1 +142601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.40867809,1 +142602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.853589707,1 +142603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.783479104,1 +142604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.423045808,1 +142605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.498241363,1 +142606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.91261838,1 +142608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.400001182,1 +142607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.350368069,1 +142611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,7.048169912,1 +142609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.45352078,1 +142610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,7.516565816,1 +142612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.387111587,1 +142613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.240840054,1 +142614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.993239771,1 +142616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.152491528,1 +142615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.450504924,1 +142617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.218119216,1 +142618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.327833816,1 +142619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,7.859114536,1 +142620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,7.823597951,1 +142621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,8.13541056,1 +142622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.771033443,1 +142623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.992464311,1 +142624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.522853679,1 +142625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.144350632,1 +142626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.560913548,1 +142627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.811389761,1 +142628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.981563263,1 +142629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.541155442,1 +142630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.956944897,1 +142631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.246391363,1 +142632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.785420567,1 +142633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.005279654,1 +142634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.687444372,1 +142635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.07276799,1 +142637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.566692297,1 +142638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,7.768767979,1 +142636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.402048777,1 +142639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.015485895,1 +142640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.833024521,1 +142643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.956819755,1 +142641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.45393647,1 +142642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.604407698,1 +142646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.204435306,1 +142645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.656970256,1 +142647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.977423084,1 +142649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.452133538,1 +142648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.735167131,1 +142650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.049363497,1 +142651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.797384104,1 +142652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.57064074,1 +142644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.422239445,1 +142653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.743162447,1 +142656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.42272142,1 +142655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.830643854,1 +142654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.220629067,1 +142657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.033547219,1 +142658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.087558573,1 +142659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.218331016,1 +142660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.306737801,1 +142661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.975716335,1 +142662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.963633213,1 +142663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.24198646,1 +142664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.459325594,1 +142667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.551795765,1 +142665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.44119285,1 +142668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.672230477,1 +142666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.274139262,1 +142669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.863642089,1 +142670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,7.264292658,1 +142671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.459092316,1 +142672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.700936422,1 +142673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.793985618,1 +142674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.661144396,1 +142675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.961279754,1 +142676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.258802444,1 +142677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.147534746,1 +142679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.406935507,1 +142678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.850068986,1 +142680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.063099524,1 +142681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.171535161,1 +142682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.447555125,1 +142683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.777055493,1 +142685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.756958042,1 +142687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.652002794,1 +142684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.127288364,1 +142686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,7.063688109,1 +142688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.938848071,1 +142690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.747130363,1 +142691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.095932809,1 +142692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.171873824,1 +142693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.032214141,1 +142694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.948118425,1 +142695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.350066412,1 +142696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.866808226,1 +142689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.455449801,1 +142697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.00506006,1 +142698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.034226958,1 +142700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.252677769,1 +142699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.398065681,1 +142701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.248147728,1 +142703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.331823125,1 +142702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.073399107,1 +142704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.836611814,1 +142705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.830170045,1 +142707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.070452958,1 +142708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.27103874,1 +142709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.432734244,1 +142710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,1.518223717,1 +142711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.530548538,1 +142712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.886095832,1 +142706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.039255317,1 +142713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.89357636,1 +142715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.337761292,1 +142716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.162739921,1 +142714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.443612101,1 +142717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.975184936,1 +142720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.706829797,1 +142719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.742995055,1 +142718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.416207868,1 +142721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.728821845,1 +142722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.828344709,1 +142724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.743545469,1 +142723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.184588628,1 +142726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.957293717,1 +142725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.92534236,1 +142727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.776401364,1 +142729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.097899816,1 +142730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.150198004,1 +142731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.674704055,1 +142728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.931476503,1 +142733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.201807493,1 +142732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.19757303,1 +142735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.173122507,1 +142734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.627933337,1 +142736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.2591912,1 +142737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.636988983,1 +142740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.612533863,1 +142739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.114616454,1 +142738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.413072057,1 +142741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.507298196,1 +142742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.28517571,1 +142743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.731238041,1 +142744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.532209665,1 +142745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.567683628,1 +142746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.970259357,1 +142747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.828921041,1 +142749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.494739958,1 +142748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.933719487,1 +142751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.901588679,1 +142750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.180927359,1 +142752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.255569809,1 +142755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.696200634,1 +142754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.463948972,1 +142753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.823289299,1 +142757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.945284237,1 +142756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.532821539,1 +142758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.574407243,1 +142759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,7.372389879,1 +142761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.717821826,1 +142760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.658483546,1 +142762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.640438076,1 +142763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.710396282,1 +142764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.404070368,1 +142766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.64214669,1 +142765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.80289967,1 +142767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.882456321,1 +142768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.128891677,1 +142769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.239438127,1 +142771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.865623883,1 +142772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.149390314,1 +142773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.745622053,1 +142770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.1331376,1 +142774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.13194317,1 +142775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.08438358,1 +142776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,1.816555889,1 +142777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.759393304,1 +142779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.889299399,1 +142778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.617688095,1 +142781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,7.766122743,1 +142780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.064134848,1 +142785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.045346503,1 +142783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.229472963,1 +142784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.576299613,1 +142782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,7.234662096,1 +142786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.973630212,1 +142787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.541338823,1 +142789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.160391467,1 +142788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,7.111100854,1 +142790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.993395873,1 +142791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.371580365,1 +142792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.092009274,1 +142793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.421233992,1 +142794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.599416049,1 +142795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.885608796,1 +142796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,7.300984036,1 +142797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.526845452,1 +142800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.686645999,1 +142798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.678523339,1 +142799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.63557228,1 +142801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.854210508,1 +142802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.955235729,1 +142803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.746973259,1 +142804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.28483784,1 +142806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.823933499,1 +142807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.663514362,1 +142808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.21926283,1 +142805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.952137791,1 +142809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.547571167,1 +142812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.590909128,1 +142811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.239927004,1 +142810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.761732117,1 +142813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.464551879,1 +142814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.505360424,1 +142815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.212543967,1 +142816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.710442916,1 +142817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.007308687,1 +142818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.657041616,1 +142819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.649859393,1 +142820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.721500867,1 +142821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.803292438,1 +142824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.95207979,1 +142823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.844562904,1 +142825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.611727082,1 +142822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.767983528,1 +142827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.706242269,1 +142826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.262168521,1 +142828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.368294987,1 +142829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.383157326,1 +142830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.912233655,1 +142831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.458358358,1 +142832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.908677613,1 +142833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.514816025,1 +142835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.502430431,1 +142836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.351190886,1 +142837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.347544985,1 +142834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.17891231,1 +142838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.674666655,1 +142839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.119514967,1 +142841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.421053996,1 +142840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.768370913,1 +142842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.816641676,1 +142843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.981376345,1 +142845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,7.020975874,1 +142846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.245802884,1 +142847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.533477183,1 +142844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.142558114,1 +142848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.023751902,1 +142850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,7.360210581,1 +142849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.582260454,1 +142852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.688721704,1 +142853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.818181094,1 +142854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.383983148,1 +142851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.450218681,1 +142855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.631242942,1 +142856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.345407012,1 +142858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.610074892,1 +142857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.970554828,1 +142859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.515911926,1 +142860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.872819395,1 +142862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.004131553,1 +142861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.95923282,1 +142863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.061796716,1 +142864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.456931811,1 +142865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.151324231,1 +142867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.12552626,1 +142868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.709305928,1 +142869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.34658765,1 +142870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.673990083,1 +142866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.1224153,1 +142871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.238031415,1 +142874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.073084249,1 +142872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.240984978,1 +142873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.572255482,1 +142875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.218325973,1 +142877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.550609702,1 +142878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.236450055,1 +142876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.254497625,1 +142879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.182082513,1 +142880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.373200991,1 +142881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.059810596,1 +142883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.148901972,1 +142882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,7.006940999,1 +142884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.029149353,1 +142885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.63880098,1 +142886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,7.069903106,1 +142888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.667274774,1 +142889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.45931619,1 +142890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.186942549,1 +142887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.856322692,1 +142891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.893378595,1 +142892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.09077944,1 +142894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.071383199,1 +142893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.053120734,1 +142895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.194599968,1 +142896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.919928485,1 +142899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.774466243,1 +142897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.310279983,1 +142898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.06188874,1 +142900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.950065728,1 +142902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.841570745,1 +142901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.477137166,1 +142903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.791295373,1 +142904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.605393019,1 +142905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.325089096,1 +142906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.743117195,1 +142907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.839396812,1 +142908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.981363252,1 +142909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.077091062,1 +142910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.018106435,1 +142912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,1.933900647,1 +142911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.900778642,1 +142913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.991154952,1 +142914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.249306472,1 +142915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.522020852,1 +142916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.408717196,1 +142917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.470041145,1 +142918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,7.318302276,1 +142919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.934885016,1 +142921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.38965108,1 +142922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.266301568,1 +142923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.925966782,1 +142920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.555788232,1 +142924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.045006202,1 +142925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.982749497,1 +142926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.066510515,1 +142928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.505411879,1 +142927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.268500683,1 +142929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.163928597,1 +142930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.472685914,1 +142931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.426779151,1 +142933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.931312474,1 +142934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.550417718,1 +142932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.216245462,1 +142935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.520511943,1 +142937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.045179061,1 +142936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.754299223,1 +142938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.470132952,1 +142939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.024626075,1 +142940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.527831603,1 +142942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.191474493,1 +142941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.445256503,1 +142943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.597890391,1 +142945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.522409398,1 +142946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.255790853,1 +142947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.406951727,1 +142948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.926026652,1 +142949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.911215154,1 +142944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.330118072,1 +142950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.649897969,1 +142953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.688555873,1 +142951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.315609295,1 +142952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.81171464,1 +142954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.390145307,1 +142955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.329883811,1 +142956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.314240035,1 +142957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.260694837,1 +142958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.317319653,1 +142960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.885023701,1 +142959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.628976681,1 +142961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.461557415,1 +142962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.535405738,1 +142963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.861153388,1 +142966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.020360358,1 +142965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.917975006,1 +142964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.539811356,1 +142967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.745806649,1 +142968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.79691039,1 +142969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.081877812,1 +142970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.632512259,1 +142971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.924586302,1 +142972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.032960606,1 +142973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.635935795,1 +142975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.239159357,1 +142974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.540845977,1 +142976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.783234339,1 +142977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.175336292,1 +142978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.040721428,1 +142979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.689093491,1 +142980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.23476304,1 +142981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.299456264,1 +142982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,1.793455832,1 +142983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.490310798,1 +142984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,1.855703047,1 +142985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.794981121,1 +142986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.871328711,1 +142987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.853161785,1 +142988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.254475384,1 +142989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.079900564,1 +142990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.70877586,1 +142992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.249906285,1 +142991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.341011718,1 +142993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,2.64208851,1 +142994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,4.909454399,1 +142995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.579668932,1 +142997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.895338206,1 +142996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.219414193,1 +142999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,6.814126087,1 +142998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,5.569428055,1 +143000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,3,1,3.4225005,1 +152001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.843797743,1 +152003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.325633088,1 +152002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.791244178,1 +152004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.261674826,1 +152006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.257715799,1 +152005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.02205837,1 +152007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.647917857,1 +152008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.971342739,1 +152009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.24087712,1 +152010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.519485841,1 +152011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.462695118,1 +152012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.798064038,1 +152013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.048521626,1 +152014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.724395913,1 +152015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.614679879,1 +152017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.189897149,1 +152016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.577072477,1 +152018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.038344081,1 +152019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.11880997,1 +152021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.345609365,1 +152022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.426733592,1 +152023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.920069223,1 +152024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.99262382,1 +152025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,7.805021515,1 +152026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.0128329,1 +152020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.258238879,1 +152027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.886727863,1 +152030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.755999898,1 +152028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.768623939,1 +152029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.715377918,1 +152031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.625473258,1 +152033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,1.170055949,1 +152034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.28238649,1 +152032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.719261626,1 +152035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.845734878,1 +152036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.60256684,1 +152037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.908481292,1 +152038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.993077614,1 +152039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.954760682,1 +152040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.373440708,1 +152042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.422163025,1 +152043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.861246769,1 +152041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.107269045,1 +152044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.172223901,1 +152046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.483274935,1 +152049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.654802583,1 +152045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.488322763,1 +152047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.836637696,1 +152048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.890054013,1 +152050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.944353236,1 +152051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,7.20033237,1 +152053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.276707521,1 +152052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.775375597,1 +152054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.259233916,1 +152055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.141646411,1 +152057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.29649812,1 +152056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.393346791,1 +152058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.336101576,1 +152059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.768508708,1 +152060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.40799156,1 +152063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.08802665,1 +152061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.582248136,1 +152062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.948618076,1 +152065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.02283322,1 +152064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.119802967,1 +152066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.532345844,1 +152068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.179165144,1 +152069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.611045902,1 +152067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.398399897,1 +152070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.545455906,1 +152072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.462836814,1 +152073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.052756404,1 +152071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.382199394,1 +152074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.782739761,1 +152076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.255919844,1 +152077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.785269883,1 +152078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.06046964,1 +152080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.880311304,1 +152075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.112536556,1 +152081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.250768531,1 +152083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.044260228,1 +152082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.967875118,1 +152079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.596212282,1 +152084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,1.891058251,1 +152085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.004140438,1 +152087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.628225714,1 +152089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.986693173,1 +152086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.180591984,1 +152090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.16668017,1 +152088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.674668191,1 +152093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.676633049,1 +152092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.882745813,1 +152091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.113055274,1 +152094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.61221259,1 +152095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.447217483,1 +152096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.380252103,1 +152098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.843701694,1 +152097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.333968157,1 +152100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.1494308,1 +152101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.79852462,1 +152102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.584393057,1 +152099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.401415502,1 +152105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.395779762,1 +152103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.430496412,1 +152106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.502452521,1 +152104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.923585726,1 +152107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.783827784,1 +152108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.531914382,1 +152109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.839828848,1 +152110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.002748934,1 +152112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.674583832,1 +152113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.236462634,1 +152114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.323952375,1 +152115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.905766647,1 +152111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.373099075,1 +152117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,7.376608313,1 +152119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.467118327,1 +152118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.02728721,1 +152116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.031496716,1 +152120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.754530962,1 +152121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.560756313,1 +152122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.26426854,1 +152123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.593826034,1 +152124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.922658855,1 +152125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.46882076,1 +152126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.245222363,1 +152127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.535497723,1 +152128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.558155214,1 +152130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.791309874,1 +152131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.179609844,1 +152129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.112826282,1 +152132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.068098407,1 +152133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.321743981,1 +152135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.663026263,1 +152134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.623739487,1 +152137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.163881358,1 +152139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.782679837,1 +152138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.351487773,1 +152140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.734256272,1 +152141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.300503723,1 +152142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.328632144,1 +152136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.389733642,1 +152143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.731985831,1 +152144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.439992155,1 +152146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.935405038,1 +152145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.692213107,1 +152149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.506045065,1 +152147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.187782538,1 +152150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.467494395,1 +152148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.691247789,1 +152151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.706958776,1 +152152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.760243727,1 +152153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.122297588,1 +152154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.63238509,1 +152156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.551402316,1 +152157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.321205835,1 +152158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.770232731,1 +152159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.560746503,1 +152155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.219371707,1 +152161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.325401798,1 +152162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.316297481,1 +152160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.580622021,1 +152163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.122120959,1 +152164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.564037208,1 +152166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.658045874,1 +152167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.943634671,1 +152165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.090811084,1 +152168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.184134959,1 +152169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.748219603,1 +152170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.582047551,1 +152171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.477941194,1 +152172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.346881993,1 +152173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.322825511,1 +152175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.739298658,1 +152176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.221384762,1 +152178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.735571419,1 +152179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.479948168,1 +152174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.385693237,1 +152177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.224975975,1 +152180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.456041485,1 +152182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.340115082,1 +152181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.191058514,1 +152183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.667293874,1 +152184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.829336373,1 +152185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.008658254,1 +152186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.726953997,1 +152187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.776826248,1 +152188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.940779649,1 +152190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.252544025,1 +152189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.802775651,1 +152191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.592123848,1 +152192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.846477124,1 +152193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.410672447,1 +152195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.41885725,1 +152196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.86400188,1 +152194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.678380828,1 +152197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.608948098,1 +152198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.463669279,1 +152199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.712658063,1 +152201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.63605335,1 +152200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.990993988,1 +152202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.882411478,1 +152203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.669926356,1 +152204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.126998477,1 +152206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.63448007,1 +152207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.929665564,1 +152205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.728117638,1 +152208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.558941655,1 +152209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.906857153,1 +152210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.84790469,1 +152212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.255114669,1 +152211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.669402171,1 +152213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.792945744,1 +152214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.229512799,1 +152215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.058271631,1 +152216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.511900768,1 +152217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.505616951,1 +152218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.951373451,1 +152219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.162101396,1 +152221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.636646809,1 +152222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.036791761,1 +152220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.086993876,1 +152223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.228889997,1 +152226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.927392315,1 +152224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.658796078,1 +152227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.157070325,1 +152228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.48606189,1 +152225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.460480967,1 +152229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.958607525,1 +152230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.799431561,1 +152232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.625524507,1 +152231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.606453147,1 +152234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.096981212,1 +152233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.526056869,1 +152235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.328773275,1 +152237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.678606484,1 +152238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.723160729,1 +152236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.26546598,1 +152239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.724689039,1 +152240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.794105786,1 +152241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.293572311,1 +152243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.848053527,1 +152244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.758341358,1 +152242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.429938351,1 +152245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.202356731,1 +152247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.855605125,1 +152246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.898523113,1 +152249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,7.37570029,1 +152250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.505798011,1 +152251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.200413179,1 +152248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.01188297,1 +152252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.03195017,1 +152253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.110894512,1 +152254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.037472098,1 +152255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.530483374,1 +152258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.835618864,1 +152256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.058931456,1 +152257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,1.953124298,1 +152259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.390512988,1 +152260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.518040917,1 +152262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.913740513,1 +152261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.597712646,1 +152263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.76832483,1 +152264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.076177317,1 +152265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.934780585,1 +152266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.685130882,1 +152268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.637630426,1 +152269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.223429532,1 +152270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.897097487,1 +152267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,1.66236853,1 +152271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.505560023,1 +152273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.136444309,1 +152272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.448042276,1 +152275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.418719641,1 +152274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.148237549,1 +152276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.178963133,1 +152277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.585862419,1 +152278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.234695125,1 +152279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.327548822,1 +152280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.577595671,1 +152281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.805098989,1 +152282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.97615798,1 +152284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.409545397,1 +152285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.5588311,1 +152286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.831866918,1 +152283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.739991593,1 +152287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.401567776,1 +152288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.646956222,1 +152289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.438167408,1 +152290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.506404303,1 +152292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.074106787,1 +152291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.204608512,1 +152293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.903494462,1 +152294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.480851682,1 +152295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.540637731,1 +152296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.516091079,1 +152297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.212212428,1 +152298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.617381556,1 +152299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.754257536,1 +152300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.26603698,1 +152301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.711224849,1 +152303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.273188295,1 +152304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.951664718,1 +152302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.486881977,1 +152305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.726580538,1 +152306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.392341832,1 +152307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.848402243,1 +152308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.79955497,1 +152310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.336054372,1 +152309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.351960879,1 +152311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.853425441,1 +152313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.704212916,1 +152312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.595080686,1 +152314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.980219862,1 +152315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.947202138,1 +152316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,7.634431688,1 +152318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.364386372,1 +152317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.908091362,1 +152319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.537521187,1 +152321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.882722795,1 +152320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.435078199,1 +152323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.911187124,1 +152324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.889613231,1 +152325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.516701237,1 +152322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.603284339,1 +152326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.217091921,1 +152327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.570915274,1 +152328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.229954497,1 +152330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.551492135,1 +152331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.610464645,1 +152329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.900193044,1 +152332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.699626304,1 +152333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,7.532101392,1 +152334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.944545613,1 +152335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.29382232,1 +152337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.478067557,1 +152336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.507312117,1 +152338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.831973697,1 +152339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.835524916,1 +152340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.314864288,1 +152341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.790611195,1 +152342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.342267704,1 +152344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.72197442,1 +152345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.37766423,1 +152346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.023929227,1 +152348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.64432087,1 +152343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.302076885,1 +152347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.418867903,1 +152349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,8.618366465,1 +152351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.300497175,1 +152352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.565901406,1 +152350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.929948712,1 +152353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.913262286,1 +152355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.200889935,1 +152356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.436017301,1 +152354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.797255273,1 +152357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.315165393,1 +152358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.864073369,1 +152359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.333422107,1 +152360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.580277594,1 +152361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.740293114,1 +152362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.384958655,1 +152363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.271292737,1 +152367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.458501289,1 +152365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.066895108,1 +152366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.123608614,1 +152364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.049602734,1 +152368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.391380188,1 +152369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.273115308,1 +152370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,9.232519536,1 +152371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.35496698,1 +152372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.688733807,1 +152373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,7.008367961,1 +152374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.401197737,1 +152375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.228380932,1 +152376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.300109985,1 +152377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.165507974,1 +152378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.720918287,1 +152379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.518133024,1 +152380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.358801373,1 +152381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.963554532,1 +152382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.472236925,1 +152383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.971573225,1 +152384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.954399305,1 +152385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.318230697,1 +152386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.199397038,1 +152387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.475013929,1 +152388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.551524537,1 +152389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.924970381,1 +152390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.638066082,1 +152392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.16274428,1 +152391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.294491222,1 +152393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.649076516,1 +152394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.815292021,1 +152395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.502608454,1 +152397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.374569965,1 +152396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.77651711,1 +152398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.026420944,1 +152400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.315107478,1 +152402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.021418428,1 +152401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.991057364,1 +152403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.131626401,1 +152404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.639083295,1 +152405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.924910389,1 +152399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.351375106,1 +152406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,7.093972065,1 +152407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.409549486,1 +152408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.437041592,1 +152410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.813484224,1 +152409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.047121172,1 +152411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.844357501,1 +152414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.694691004,1 +152413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,9.786003665,1 +152412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.276811307,1 +152416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.907715533,1 +152417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.917710213,1 +152415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.609697084,1 +152418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.17962711,1 +152420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.898657749,1 +152421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.942221617,1 +152422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.1681542,1 +152423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.742697752,1 +152424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.023141405,1 +152419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.525683692,1 +152425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.956987339,1 +152428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.847165157,1 +152427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.632408824,1 +152426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,7.062705964,1 +152429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.675101515,1 +152431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.035538907,1 +152430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.592577874,1 +152432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,7.23504326,1 +152433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.035429715,1 +152434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.717741933,1 +152435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.693239241,1 +152436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,7.003637135,1 +152438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,1.876196829,1 +152440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.67305584,1 +152437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.241798915,1 +152439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.542922716,1 +152441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,1.792574897,1 +152442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.392761847,1 +152444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.058241162,1 +152445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.966492455,1 +152443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.890066779,1 +152446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.700672367,1 +152447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.89350731,1 +152448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.283691195,1 +152450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.993386032,1 +152451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.001916792,1 +152452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.860049224,1 +152449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.893679725,1 +152454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.133844637,1 +152453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.907337567,1 +152456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.971570737,1 +152455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.977567535,1 +152457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.069812436,1 +152458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.421142324,1 +152459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.785601078,1 +152460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.924639161,1 +152461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.878613152,1 +152462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.235617723,1 +152464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.530961105,1 +152465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.781279484,1 +152466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.916989226,1 +152467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.370889078,1 +152463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.500948001,1 +152468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.374612136,1 +152469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.965378059,1 +152471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.014441206,1 +152472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.473446274,1 +152473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.817559076,1 +152470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,7.380760326,1 +152474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.295828765,1 +152475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.013075609,1 +152476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.784328061,1 +152477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.077722978,1 +152478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.858827662,1 +152479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.831087692,1 +152480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.654950841,1 +152481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.70097375,1 +152483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.527128461,1 +152484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.739232391,1 +152485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.477001179,1 +152482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.630640944,1 +152488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.634459489,1 +152487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.715382679,1 +152486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.952359228,1 +152489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.179096832,1 +152490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.410533451,1 +152491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.528743314,1 +152492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.188698604,1 +152493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.604712503,1 +152494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.896613261,1 +152496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.535347901,1 +152495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.89094199,1 +152497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.99386323,1 +152498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.483793273,1 +152500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.84616433,1 +152499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.962685588,1 +152502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,7.918741596,1 +152503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.744581645,1 +152501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.726290158,1 +152504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.405229013,1 +152505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.672664592,1 +152508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.575592955,1 +152506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.313126041,1 +152507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.424111706,1 +152509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.254351511,1 +152510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.573659399,1 +152511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.269714132,1 +152512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.206718344,1 +152513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.536077839,1 +152515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.374952421,1 +152514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.115406922,1 +152516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.020632032,1 +152518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.369509681,1 +152517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.257202571,1 +152519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.082310838,1 +152520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.344988319,1 +152522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.570498829,1 +152521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.648858651,1 +152523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.757194136,1 +152525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.329373742,1 +152526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.762665007,1 +152527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.921194364,1 +152524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,7.380724475,1 +152528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.667090538,1 +152529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.220160751,1 +152530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.057409163,1 +152531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.028216172,1 +152533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.658456892,1 +152535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.141209488,1 +152532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.963847667,1 +152534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.662261015,1 +152536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.512437198,1 +152538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.034028439,1 +152539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.794754699,1 +152537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.236135885,1 +152540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.172521391,1 +152541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.968518042,1 +152542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.128417155,1 +152544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.501918073,1 +152543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.430338112,1 +152545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.621811432,1 +152546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.101195782,1 +152547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.051961328,1 +152548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.579845752,1 +152550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.870811344,1 +152549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.220805448,1 +152551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.517418124,1 +152553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.4457515,1 +152554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.728487527,1 +152555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.48036107,1 +152556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.125722148,1 +152557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.742121676,1 +152552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.386507096,1 +152558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.650001113,1 +152559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.066800625,1 +152560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.258587319,1 +152561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.956335327,1 +152562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.452509564,1 +152563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.251491668,1 +152564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.108706543,1 +152565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.373746973,1 +152566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.325672728,1 +152567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.420601951,1 +152568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.423431474,1 +152570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.906446386,1 +152571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.305421919,1 +152572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.10775431,1 +152573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.584387891,1 +152574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.10205663,1 +152569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,7.192893371,1 +152575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.732162544,1 +152576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.378030306,1 +152577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.616307823,1 +152578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,7.503750135,1 +152579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.765472249,1 +152580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.416503658,1 +152582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.538533385,1 +152581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.81273991,1 +152583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,7.196018992,1 +152584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.719382921,1 +152585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.921854331,1 +152586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.031717671,1 +152587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.709546949,1 +152588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.976086228,1 +152590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.25460698,1 +152592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.315519235,1 +152591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.63310872,1 +152593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.494849832,1 +152589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.730662426,1 +152595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.982331187,1 +152594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,7.831540685,1 +152597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.541247574,1 +152596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.727890127,1 +152598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.792222967,1 +152599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.004081031,1 +152600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.757663336,1 +152601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.749838817,1 +152602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.564932322,1 +152603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.697439065,1 +152604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.703996213,1 +152605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,7.211138526,1 +152607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.396072972,1 +152606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.000804582,1 +152609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.269991843,1 +152611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.645693679,1 +152608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.539177722,1 +152610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.694993108,1 +152612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.349521059,1 +152614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.379579989,1 +152615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.06526065,1 +152616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,7.783300078,1 +152613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.631924826,1 +152617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.717952965,1 +152618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.716254632,1 +152619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.068965795,1 +152620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.22075654,1 +152622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.907186984,1 +152623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.808740254,1 +152621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.238501319,1 +152624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.534196098,1 +152625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.769581665,1 +152626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.408240727,1 +152627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.362530902,1 +152628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.473355192,1 +152629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.408418851,1 +152630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.421216533,1 +152631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.528633458,1 +152633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,1.881510228,1 +152634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.270421823,1 +152632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.251012947,1 +152635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.005328607,1 +152636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.3168882,1 +152637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.770143242,1 +152640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,7.453818401,1 +152641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.811737871,1 +152638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.210431462,1 +152639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.076457512,1 +152643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.078531279,1 +152644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.216983438,1 +152642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.111282375,1 +152645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.399447015,1 +152646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.046561306,1 +152648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.278407302,1 +152647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.066012861,1 +152649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.33240434,1 +152651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.379838789,1 +152653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.711006688,1 +152652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.400140731,1 +152650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.665434035,1 +152655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.392767273,1 +152654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.589952109,1 +152656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,7.035195632,1 +152657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.051844858,1 +152658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.908580981,1 +152661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.024791298,1 +152660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.032175964,1 +152659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.287342372,1 +152662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.991037866,1 +152663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.814924159,1 +152665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.926276378,1 +152664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.686285571,1 +152666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.278226485,1 +152667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.232014153,1 +152668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.641861042,1 +152670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.064933969,1 +152669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.522148041,1 +152672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.459065651,1 +152674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.672157,1 +152671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.772924904,1 +152673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,1.731638061,1 +152675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.426596727,1 +152678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.336879193,1 +152677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.513545624,1 +152676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.450175952,1 +152679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.499104532,1 +152681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.208815721,1 +152680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.479829716,1 +152682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.164653039,1 +152683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.743947101,1 +152684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.359348303,1 +152685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.426022491,1 +152686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.383963578,1 +152687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.471183188,1 +152689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.789707578,1 +152688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.846906775,1 +152692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.321966699,1 +152691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.480943356,1 +152693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.530999182,1 +152690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.607678921,1 +152694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.479392876,1 +152695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.893741152,1 +152696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.97717388,1 +152697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.574236834,1 +152698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.184551103,1 +152699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.747076307,1 +152700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.459579607,1 +152701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.338698686,1 +152702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.613608931,1 +152703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.571937032,1 +152704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.736498495,1 +152705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.433825545,1 +152706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.905753052,1 +152707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.061584067,1 +152708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.853579402,1 +152710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.600107365,1 +152711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.614601766,1 +152712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.647492612,1 +152709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.238912961,1 +152713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.482856081,1 +152714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.749097153,1 +152715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.478681412,1 +152717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.410311593,1 +152716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.861381974,1 +152719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.434727832,1 +152718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.899706665,1 +152720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.241783022,1 +152722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.993366394,1 +152723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.316367628,1 +152721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.397673686,1 +152724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.169398884,1 +152725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.415817271,1 +152726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.210285512,1 +152727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.675476495,1 +152728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.106443318,1 +152729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.615139386,1 +152730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.168400583,1 +152731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.193057537,1 +152733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.087891743,1 +152732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.549755495,1 +152735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.681682288,1 +152734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.264162282,1 +152736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,7.292555709,1 +152739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.661224364,1 +152737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.627470505,1 +152738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.436669682,1 +152740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.42689212,1 +152741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.022443042,1 +152742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.565567658,1 +152743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.93582448,1 +152744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.625995627,1 +152745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.142874509,1 +152746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.523166015,1 +152748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.136186777,1 +152747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.266079692,1 +152749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.699521132,1 +152750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.352362761,1 +152751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.29640103,1 +152753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.055097802,1 +152752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.329097592,1 +152754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.261958304,1 +152756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.876307926,1 +152755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.157201553,1 +152758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,1.644964065,1 +152757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.565178914,1 +152759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.490011523,1 +152760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.693381017,1 +152761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.403181178,1 +152762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.734915181,1 +152764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.543541253,1 +152766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.69610574,1 +152765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.254436882,1 +152763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.020804201,1 +152768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.564533459,1 +152767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.282282301,1 +152769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.294655224,1 +152770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.344015949,1 +152772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.752192632,1 +152773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.247859284,1 +152771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.653010713,1 +152774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.287170576,1 +152776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.239118766,1 +152775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.320123931,1 +152778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.718374168,1 +152777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.061646245,1 +152779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.011692188,1 +152780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.8000474,1 +152781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.538680078,1 +152782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.646595271,1 +152783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.749262392,1 +152784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,7.392523627,1 +152785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.497674741,1 +152786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.472609928,1 +152788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.172412679,1 +152789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.837638477,1 +152787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.277202636,1 +152791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.021219867,1 +152792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.461047704,1 +152790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.388464513,1 +152793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.557105432,1 +152794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.726086217,1 +152795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.597685937,1 +152797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.745090132,1 +152798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.684015988,1 +152799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.287792221,1 +152800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.997213972,1 +152796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.532120978,1 +152801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.481253752,1 +152802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.781800276,1 +152803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.80424482,1 +152805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.416553469,1 +152806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.949269108,1 +152807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.489174065,1 +152804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.801391113,1 +152809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.096898192,1 +152808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.492785659,1 +152810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.636994325,1 +152811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.170065488,1 +152812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.44924634,1 +152813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.645822359,1 +152814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.69134602,1 +152815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.257892755,1 +152816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.646621691,1 +152817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.421240764,1 +152818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.069192697,1 +152820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,1.19833138,1 +152821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.526428938,1 +152822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.356414804,1 +152819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.869455649,1 +152823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.736248881,1 +152824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.826661361,1 +152826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.488172306,1 +152825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.35588382,1 +152828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.49267853,1 +152827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.362853557,1 +152830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.03815343,1 +152829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.088612027,1 +152831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.092500214,1 +152832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.344641303,1 +152833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.94945295,1 +152834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.968778793,1 +152836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.558989523,1 +152835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.568899035,1 +152837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.848905235,1 +152839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.107738679,1 +152841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,7.132333097,1 +152840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.738577333,1 +152838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.479091983,1 +152843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.163906166,1 +152842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.127336362,1 +152844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.655317773,1 +152846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.026477054,1 +152847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.09867121,1 +152845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.520466335,1 +152848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.747450355,1 +152849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.418745271,1 +152850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,8.939905024,1 +152851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.053034164,1 +152852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.838209869,1 +152853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.746757639,1 +152854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.48624211,1 +152856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.745326368,1 +152855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.143297012,1 +152858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.990579151,1 +152857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.464496426,1 +152859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.239981491,1 +152861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.841984441,1 +152862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.020973592,1 +152860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.124272446,1 +152863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.165846424,1 +152864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.35476366,1 +152865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.138132669,1 +152866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.089235455,1 +152867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.974024445,1 +152868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.102409918,1 +152869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.93044453,1 +152870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.845551255,1 +152871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.959168982,1 +152872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.504348717,1 +152875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.369223037,1 +152876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.699267259,1 +152873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.552560018,1 +152877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.48732438,1 +152878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.223329495,1 +152874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.167750636,1 +152879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.774669107,1 +152880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.825948391,1 +152881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.088951569,1 +152883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.252668303,1 +152884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.459673037,1 +152882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.420588568,1 +152886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.782622784,1 +152885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.043638405,1 +152888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.270697543,1 +152887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,7.168446901,1 +152890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.421511697,1 +152889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.686895427,1 +152892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.82086287,1 +152893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.747905459,1 +152891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.536732596,1 +152894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.306979562,1 +152895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,8.6398257,1 +152896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.686924918,1 +152898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.770495147,1 +152899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.366501472,1 +152900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.665475374,1 +152901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.360285854,1 +152897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.247123221,1 +152902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.289617024,1 +152903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,7.341987243,1 +152905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.814030279,1 +152906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.161454633,1 +152907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.412274423,1 +152908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.926835977,1 +152904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.278470203,1 +152909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.074739573,1 +152910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.106740538,1 +152912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,1.807198851,1 +152913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,7.019615912,1 +152914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.365630725,1 +152911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.537787479,1 +152915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.547056618,1 +152917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.640523837,1 +152916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.082339111,1 +152919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.360252898,1 +152918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.124602755,1 +152921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.514110254,1 +152920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.576668587,1 +152923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.439827608,1 +152924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,7.456214303,1 +152925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.814294513,1 +152926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.560045657,1 +152922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.20202159,1 +152927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.771592465,1 +152928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.522255761,1 +152930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.751500325,1 +152931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.783297738,1 +152929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.111839662,1 +152932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.241928572,1 +152933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.093444031,1 +152934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.840224516,1 +152936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.276167507,1 +152935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.018874972,1 +152937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.079792148,1 +152938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,7.455076739,1 +152939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.181079615,1 +152941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.444185624,1 +152942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.01219263,1 +152940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.984737069,1 +152943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.774163992,1 +152945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.619998569,1 +152946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.014626325,1 +152947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.776334901,1 +152944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.210635737,1 +152950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.603931691,1 +152949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.650400094,1 +152948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.33804959,1 +152951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.324318701,1 +152953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.287660796,1 +152952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.427363731,1 +152954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.202395808,1 +152955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.360775392,1 +152956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.072617297,1 +152957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.340745946,1 +152959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.120576433,1 +152958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.157084231,1 +152960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.704711553,1 +152962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.849336626,1 +152963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.418505221,1 +152961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.773518089,1 +152964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.322250796,1 +152967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.956786875,1 +152965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.91162649,1 +152968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.150306296,1 +152969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.845337646,1 +152970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.539837391,1 +152971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.343920561,1 +152966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.493790012,1 +152972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.908763908,1 +152973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.032817018,1 +152974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.564093106,1 +152977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.870312339,1 +152975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.306953353,1 +152976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.280814219,1 +152978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.713846533,1 +152980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.806321975,1 +152979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.073799876,1 +152981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.078223881,1 +152982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,7.023859792,1 +152983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.39610634,1 +152984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.982241866,1 +152985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.723457754,1 +152986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.983313606,1 +152988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.428411966,1 +152989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.864596269,1 +152990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,1.916036598,1 +152992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.424615838,1 +152991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.701759689,1 +152993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,5.549482738,1 +152987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.481699036,1 +152997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,3.911175269,1 +152994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.00216104,1 +152995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.96001323,1 +152996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.396137452,1 +152999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,6.491098367,1 +153000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,2.482346188,1 +152998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,3,1,4.245397977,1 +162001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.628973678,1 +162002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.233042272,1 +162003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.550467697,1 +162004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.799638549,1 +162005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.51079158,1 +162006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.793575292,1 +162008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.007215672,1 +162007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.987705026,1 +162009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.855367884,1 +162010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.050091244,1 +162011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.394469579,1 +162012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.82174399,1 +162013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.372625806,1 +162014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.236424896,1 +162016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.239277507,1 +162015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.533395545,1 +162017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.037817981,1 +162019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.772546957,1 +162018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.747269028,1 +162020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.853656305,1 +162023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.559940661,1 +162022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.98050982,1 +162024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.851860934,1 +162025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.753055342,1 +162026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,8.59432974,1 +162021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.362359418,1 +162027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.525499538,1 +162028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.733021447,1 +162029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.505726355,1 +162031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.731535547,1 +162030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.855440716,1 +162033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.395904014,1 +162032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,8.306897547,1 +162035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.942672413,1 +162036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.295313949,1 +162034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.691243802,1 +162037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.693605138,1 +162038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.299697936,1 +162039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.655914096,1 +162040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.465850086,1 +162041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.169014103,1 +162043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.143113019,1 +162044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.009488984,1 +162045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.460810953,1 +162046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.613912438,1 +162042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.613858273,1 +162047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.906435949,1 +162050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.792538245,1 +162048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.246981761,1 +162049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.903903419,1 +162051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.394989357,1 +162052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.335156787,1 +162053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.361087658,1 +162054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.445879913,1 +162055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.938984268,1 +162056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.86239553,1 +162057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.273131917,1 +162058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.666279742,1 +162059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.328204604,1 +162061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.97654567,1 +162062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.379812222,1 +162060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.51143004,1 +162064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.143428634,1 +162063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.673654743,1 +162066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.626749878,1 +162065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.017887508,1 +162067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.061155215,1 +162068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.384203452,1 +162069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.651902655,1 +162070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.647270711,1 +162071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.165554883,1 +162072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.054302572,1 +162073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.171757732,1 +162074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.457999242,1 +162075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.743360933,1 +162078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.338777473,1 +162076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.210606124,1 +162079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.936190947,1 +162077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.395398184,1 +162081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,1.707879518,1 +162080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.716338026,1 +162082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.548627505,1 +162083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.784172953,1 +162085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.753129483,1 +162084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.830314134,1 +162086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.543892018,1 +162087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.068111205,1 +162088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.452348372,1 +162089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.470040644,1 +162090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.19197075,1 +162091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.913614468,1 +162092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.792062199,1 +162094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.531116479,1 +162093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.935912028,1 +162095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.865765406,1 +162096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.112190947,1 +162097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.538280994,1 +162098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.120864189,1 +162099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.541209711,1 +162100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.559553717,1 +162101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.536597695,1 +162103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.472050178,1 +162104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.248975079,1 +162102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.239534755,1 +162105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.02469103,1 +162106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.268939747,1 +162107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.593796324,1 +162109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.598795362,1 +162110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.831162939,1 +162108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.113367726,1 +162112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.290358184,1 +162111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.191308813,1 +162113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.039035629,1 +162114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.255419207,1 +162116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.363708855,1 +162115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.656280045,1 +162117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.008196268,1 +162119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.63162319,1 +162120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.901022978,1 +162121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.59729668,1 +162122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.849214187,1 +162123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.233504222,1 +162124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.362574485,1 +162125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.354160715,1 +162126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.074048373,1 +162118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.328514299,1 +162127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.847126355,1 +162130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.038103244,1 +162129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.925887365,1 +162128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,8.136317053,1 +162131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.075896385,1 +162132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.931103549,1 +162133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.193996715,1 +162134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.652155385,1 +162135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.233428989,1 +162136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.600918369,1 +162137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.298665112,1 +162138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.782160216,1 +162139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.516943588,1 +162141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.14279924,1 +162142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.448281193,1 +162140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.283208607,1 +162144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.776444384,1 +162143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.707782245,1 +162145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.590862074,1 +162146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.600211539,1 +162147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.923530068,1 +162148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.360882993,1 +162149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.074173827,1 +162150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.070006098,1 +162151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.180340139,1 +162152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.120151626,1 +162153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.140403071,1 +162154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,1.972103989,1 +162156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.682714054,1 +162155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.263115763,1 +162157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.645504986,1 +162158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.891167276,1 +162160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,1.967836807,1 +162162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.772577628,1 +162159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.398981206,1 +162163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.742965373,1 +162161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.163536143,1 +162165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.423837866,1 +162166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.608292621,1 +162164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.725790122,1 +162168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.688595129,1 +162167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.301709736,1 +162169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.111576939,1 +162170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.462384803,1 +162171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.47868225,1 +162172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.124022888,1 +162175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.165262034,1 +162173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.435478472,1 +162176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.385969918,1 +162174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.104863644,1 +162177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.211319444,1 +162178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.366392499,1 +162181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.102479722,1 +162182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.297400476,1 +162180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.661791249,1 +162179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.949615946,1 +162183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.026916237,1 +162184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.590790083,1 +162185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.961827321,1 +162186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.101981481,1 +162187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.523452788,1 +162189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.495069771,1 +162188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.557351679,1 +162190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.503002527,1 +162191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.795481799,1 +162193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.061547664,1 +162194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.200177532,1 +162195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.936439657,1 +162196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.066960627,1 +162197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.841043701,1 +162198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.136887534,1 +162192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.062286765,1 +162199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.233058462,1 +162201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.115564068,1 +162202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.308445542,1 +162203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.496576469,1 +162200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.626857209,1 +162205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.061488231,1 +162207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.713123172,1 +162204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.531401109,1 +162206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,1.930107147,1 +162210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.42055346,1 +162209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.771169318,1 +162208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.535538934,1 +162211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.719899295,1 +162212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.311805784,1 +162213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.508389373,1 +162214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.589896879,1 +162215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.343603263,1 +162218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.985544115,1 +162217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.962055957,1 +162216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.650881793,1 +162219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.247419739,1 +162221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.057167796,1 +162220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.319579946,1 +162222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.892319338,1 +162223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.706716687,1 +162225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.357998877,1 +162226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.101906586,1 +162224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.866004955,1 +162227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.063394155,1 +162228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.465815315,1 +162229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.553830489,1 +162231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.45015148,1 +162232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.704239928,1 +162230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.067365383,1 +162233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.070146331,1 +162234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.258645659,1 +162237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.021689122,1 +162235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.489642581,1 +162236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.202936766,1 +162238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,1.657288465,1 +162239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.712396833,1 +162240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.710048735,1 +162241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.554361009,1 +162242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.722217334,1 +162243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.613791028,1 +162244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.563529474,1 +162245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.211200741,1 +162246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.773268542,1 +162247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.269137029,1 +162248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.295208527,1 +162250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.260733249,1 +162249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.483162239,1 +162252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.052261448,1 +162251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.165205331,1 +162254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.218779609,1 +162256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.036018092,1 +162255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.077234857,1 +162253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.867505874,1 +162257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.247790808,1 +162258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.76480377,1 +162259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.862951063,1 +162260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.97406387,1 +162261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.030939898,1 +162262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.140983088,1 +162263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.877748815,1 +162264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.572990527,1 +162265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.258560126,1 +162267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.144967812,1 +162268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.203325795,1 +162266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.342941377,1 +162269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.058314398,1 +162272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.512553475,1 +162271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.812767369,1 +162273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.791319341,1 +162274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.353650763,1 +162275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.214291116,1 +162276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.43558971,1 +162270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.336982388,1 +162278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.515419548,1 +162277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.203208763,1 +162279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.500886605,1 +162280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.45730969,1 +162282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.590986112,1 +162283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.088719801,1 +162281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.115123427,1 +162284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.856150644,1 +162286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.834514926,1 +162285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.984434999,1 +162287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.780560396,1 +162288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.003469178,1 +162289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.038632577,1 +162290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.65891045,1 +162291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.37030003,1 +162294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,1.724015979,1 +162293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.915994351,1 +162292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.746848488,1 +162295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.478470398,1 +162297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.935446613,1 +162296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.533522258,1 +162298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.067357057,1 +162299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.365637928,1 +162300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.910915245,1 +162302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.988101312,1 +162301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.046942646,1 +162303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.713368122,1 +162304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.936806587,1 +162305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.946882759,1 +162306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.812390784,1 +162307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.282478751,1 +162310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.939545698,1 +162308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.036772276,1 +162309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.060358529,1 +162311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.218248696,1 +162313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.777044028,1 +162314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.903927716,1 +162312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.954717175,1 +162315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.47146021,1 +162316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.428426365,1 +162317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.046118033,1 +162318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.886199682,1 +162319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.225746631,1 +162320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.268916125,1 +162321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.627332289,1 +162322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.572721967,1 +162323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.061478304,1 +162325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.933255681,1 +162324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.87730827,1 +162326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.258662751,1 +162329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.656497555,1 +162327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.410225781,1 +162330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.34447028,1 +162328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.959333991,1 +162331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.199710875,1 +162334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.101453166,1 +162332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.19794354,1 +162333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.742256315,1 +162335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.748377459,1 +162336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.725905143,1 +162337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.266398773,1 +162339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.947326114,1 +162338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.850221645,1 +162340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.427465847,1 +162342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.222895659,1 +162341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.560559476,1 +162345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.902924353,1 +162343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.373078773,1 +162344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.114558918,1 +162346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.862461808,1 +162347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.922422259,1 +162349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.880973875,1 +162348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.307644022,1 +162350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.705009605,1 +162351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.223353445,1 +162354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.098799097,1 +162352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.627716247,1 +162355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.513382502,1 +162356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.115264795,1 +162357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,1.894600707,1 +162353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.5514157,1 +162359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.399346335,1 +162360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.273289808,1 +162358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.852201408,1 +162361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.70673332,1 +162363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.856026755,1 +162364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.189148107,1 +162362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.234035625,1 +162365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.966577741,1 +162366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.90794137,1 +162367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.612934826,1 +162368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.491286896,1 +162369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.061668409,1 +162370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.848064354,1 +162371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,9.488139424,1 +162372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.486427165,1 +162374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.023862699,1 +162375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.21840669,1 +162376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.295275673,1 +162373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.460149126,1 +162378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.314905993,1 +162379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.273532696,1 +162377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.57290435,1 +162381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.918981388,1 +162380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.324383135,1 +162382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.143635634,1 +162383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.000548292,1 +162384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.554968271,1 +162385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.045282948,1 +162386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.162652765,1 +162387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,1.1627177,1 +162388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.60204057,1 +162389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.812628971,1 +162390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.834132505,1 +162391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.501999602,1 +162393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.715743617,1 +162395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.636109717,1 +162392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.161454298,1 +162394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.310732987,1 +162396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.905236545,1 +162397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.44777096,1 +162398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.503913444,1 +162399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.563056395,1 +162400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.179962198,1 +162403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.064214203,1 +162401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.748443194,1 +162402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.8224046,1 +162406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.346472092,1 +162405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.37113428,1 +162407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.088129319,1 +162404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.230152258,1 +162408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.868362183,1 +162409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.817546639,1 +162411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.070580788,1 +162412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.695973389,1 +162413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.083575814,1 +162410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.843808618,1 +162414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.855391814,1 +162415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.864494698,1 +162416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.570457604,1 +162418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.653804064,1 +162419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.819584933,1 +162417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.257928413,1 +162420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.045529347,1 +162422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.880058281,1 +162423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.634465483,1 +162424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.58626145,1 +162421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.283492493,1 +162425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,8.11775024,1 +162427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.601494111,1 +162426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.288421409,1 +162428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,1.862142225,1 +162429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.37038383,1 +162430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.239647392,1 +162432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.539252684,1 +162433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.044775358,1 +162434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.696035365,1 +162435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.440624765,1 +162431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.796120948,1 +162436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.235086716,1 +162439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.600566389,1 +162437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.609817485,1 +162440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.454981023,1 +162438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.067437165,1 +162442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.650622766,1 +162441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.728364415,1 +162443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.796224252,1 +162444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.155914962,1 +162446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.332123384,1 +162445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.979927306,1 +162447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.665199451,1 +162448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.883844612,1 +162450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.452445921,1 +162451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.821637166,1 +162452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.093951265,1 +162449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.058191573,1 +162453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.594691315,1 +162454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.433410864,1 +162456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.534542919,1 +162455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.485718607,1 +162457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.878069572,1 +162458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.272005582,1 +162459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,1.976805486,1 +162460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.751391523,1 +162461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.606110237,1 +162462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.955643927,1 +162463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.925992294,1 +162465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.000749715,1 +162464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.001831686,1 +162466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.446754494,1 +162467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.974723458,1 +162468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.756380445,1 +162470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.195339596,1 +162469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.377310953,1 +162471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.956828258,1 +162472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.57616668,1 +162473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.96901282,1 +162474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.451993815,1 +162476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.163303339,1 +162475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.112021708,1 +162478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.481568281,1 +162477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.009920282,1 +162479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.31024564,1 +162480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.573476784,1 +162481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.839252063,1 +162484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.50306281,1 +162483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.438303816,1 +162482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.888689523,1 +162485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.340411707,1 +162487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.177806673,1 +162486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.925052432,1 +162488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,1.34038126,1 +162489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.230724611,1 +162490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.39787497,1 +162491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.254578962,1 +162493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.298583543,1 +162492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,8.126371717,1 +162494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.837219009,1 +162495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.091918598,1 +162496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,1.879202597,1 +162497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.090299199,1 +162499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.597776335,1 +162498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.524021916,1 +162501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.659177324,1 +162500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.468096408,1 +162503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,1.439110515,1 +162502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.523538775,1 +162504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.441649401,1 +162505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.450040191,1 +162506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.371558172,1 +162507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.510296736,1 +162508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.857749791,1 +162509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.471333703,1 +162511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.915089061,1 +162512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.346122129,1 +162513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.034320377,1 +162514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.025586179,1 +162510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.887529645,1 +162515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.967673581,1 +162518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.831796278,1 +162516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.625211975,1 +162517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.328943109,1 +162519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.982497008,1 +162520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.606796664,1 +162521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.206860112,1 +162522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.380202167,1 +162523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.96743671,1 +162524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.387404149,1 +162525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.458792039,1 +162526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.389054657,1 +162527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.451182918,1 +162530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.144777403,1 +162529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.100195767,1 +162528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.526299869,1 +162531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.772357904,1 +162532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.829113078,1 +162533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.612298393,1 +162534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.980567162,1 +162535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.695341232,1 +162536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.653189691,1 +162537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.137260271,1 +162538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.980180011,1 +162539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.114822263,1 +162540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.022090271,1 +162541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.318071722,1 +162542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.310008237,1 +162545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.755669302,1 +162544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.099905329,1 +162543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.372586694,1 +162546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.347943971,1 +162548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.81989678,1 +162549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.679618998,1 +162547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.472512775,1 +162550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.042363079,1 +162551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.424143958,1 +162553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.173958755,1 +162552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.173393061,1 +162555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.79685781,1 +162556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.750328671,1 +162554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.123849078,1 +162557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.360702577,1 +162558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,8.735943097,1 +162559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.05934549,1 +162561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.048429934,1 +162560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.194939062,1 +162562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.445461882,1 +162563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.273948612,1 +162564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.319816834,1 +162566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.405947777,1 +162567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.720001984,1 +162568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.130141813,1 +162569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.688897076,1 +162570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.262024114,1 +162565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.175821625,1 +162572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.113606254,1 +162573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.501928165,1 +162574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.74747187,1 +162571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.583385708,1 +162575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.623846162,1 +162576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.656610586,1 +162577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.767349686,1 +162578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.17939708,1 +162581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.125828351,1 +162580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.883865719,1 +162579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.606358298,1 +162582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.080364631,1 +162584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.12972695,1 +162585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.754186362,1 +162587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.411712828,1 +162586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.963652059,1 +162583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.576723801,1 +162588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.522543178,1 +162589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.439777243,1 +162590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.438202092,1 +162592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.749353371,1 +162591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.694247938,1 +162594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.450304929,1 +162593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.72434261,1 +162596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.089055628,1 +162595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.184575793,1 +162597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.818263969,1 +162598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.320139487,1 +162599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.597958432,1 +162600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.071055883,1 +162602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.70802411,1 +162604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.358868253,1 +162601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.36405661,1 +162605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.976769146,1 +162607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.355556146,1 +162606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.265623854,1 +162603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.891798411,1 +162609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.689773621,1 +162608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.70480147,1 +162611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.189623387,1 +162610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.789634357,1 +162612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.817805288,1 +162613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.184146039,1 +162615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.75799272,1 +162614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.294925214,1 +162617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.247465519,1 +162618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.470442908,1 +162619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.624824436,1 +162616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.347119021,1 +162620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.703247454,1 +162621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.592459469,1 +162623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.398859772,1 +162624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.673025839,1 +162625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.649865262,1 +162626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.116929469,1 +162622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.756339719,1 +162627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.190405433,1 +162628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.702159564,1 +162629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.953819858,1 +162630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.517883271,1 +162631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.486946577,1 +162632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.811792313,1 +162634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.625800874,1 +162635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.460617715,1 +162636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.649218955,1 +162633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.898070059,1 +162637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.919612585,1 +162638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.633171846,1 +162639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.733381118,1 +162640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.209277755,1 +162641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.064052475,1 +162642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.640716622,1 +162643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.684427026,1 +162644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.037432969,1 +162645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.316891108,1 +162646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.819308186,1 +162647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.082997523,1 +162648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.722276035,1 +162650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.464554976,1 +162649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.148732383,1 +162651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.460793592,1 +162652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.272135081,1 +162655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.253679284,1 +162653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.232377528,1 +162654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.238526815,1 +162656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.419452469,1 +162657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.386441347,1 +162659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.674858856,1 +162660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.495201377,1 +162661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.844667736,1 +162658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.895528993,1 +162662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.135533921,1 +162663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.945967797,1 +162664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.387943112,1 +162666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.488305972,1 +162667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.034893201,1 +162665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.415843724,1 +162668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.350716159,1 +162671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.740140967,1 +162670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.163954932,1 +162669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.647281093,1 +162672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.630352417,1 +162674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.352114075,1 +162675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.849217537,1 +162676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.070580367,1 +162673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,8.602586413,1 +162677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.183724076,1 +162679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.319562654,1 +162678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.444066687,1 +162680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.61704146,1 +162681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.418227897,1 +162682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.598803375,1 +162683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.946962621,1 +162684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.850837103,1 +162686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.354246359,1 +162685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.562401207,1 +162687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.320860566,1 +162688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.818162702,1 +162689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.808650855,1 +162690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.114428275,1 +162691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.125562846,1 +162692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.285431525,1 +162694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.307317449,1 +162693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.936057834,1 +162695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.336471499,1 +162698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.275644368,1 +162697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.786363633,1 +162696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.683173781,1 +162699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.125471328,1 +162702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.844949002,1 +162701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.15609727,1 +162700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.246470555,1 +162703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.619166457,1 +162704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.297561281,1 +162705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.02495697,1 +162706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.665519109,1 +162707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.097533955,1 +162708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.687211455,1 +162709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.510235825,1 +162710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.885160599,1 +162712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.752806533,1 +162711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.220960138,1 +162714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.274897892,1 +162713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,1.332512464,1 +162715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.582318649,1 +162717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.562715207,1 +162719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.606620629,1 +162718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.068737449,1 +162716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.77769185,1 +162720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.297828031,1 +162722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.030623143,1 +162721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.710796317,1 +162724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.841207012,1 +162726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.13045265,1 +162723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.226449374,1 +162725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.233263402,1 +162727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.425746218,1 +162728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.190265662,1 +162729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.874197754,1 +162730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.684648512,1 +162731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.938717024,1 +162732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.621165518,1 +162734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.313740524,1 +162733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.153782133,1 +162735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.976614334,1 +162736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.753759924,1 +162737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.560335836,1 +162739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.743955417,1 +162740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.243673605,1 +162741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.848628514,1 +162742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.976470276,1 +162738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.243609507,1 +162743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.799609314,1 +162744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.611139031,1 +162745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.55167339,1 +162747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.339472867,1 +162746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.853118539,1 +162749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.438083627,1 +162748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.781460875,1 +162750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.934915395,1 +162752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.524690645,1 +162753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.570518306,1 +162751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.326277318,1 +162754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.28805473,1 +162755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.652182294,1 +162756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.925782348,1 +162757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.5333082,1 +162758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.994880823,1 +162760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.292702009,1 +162759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.902893398,1 +162762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.268253868,1 +162763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.245155992,1 +162761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.047346279,1 +162764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.982338907,1 +162765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.494652057,1 +162766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.543226771,1 +162767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.34758466,1 +162768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.062164565,1 +162769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.659510476,1 +162771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.949946226,1 +162770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.288403405,1 +162772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.840797123,1 +162773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.67717442,1 +162774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.097730924,1 +162775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.789283907,1 +162776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.742557014,1 +162778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.821170732,1 +162780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.400768216,1 +162779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.528181996,1 +162777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.362789533,1 +162781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.407354109,1 +162782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.029573471,1 +162783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.759097705,1 +162786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.185074356,1 +162785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.720772563,1 +162784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.038023015,1 +162787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.820120355,1 +162788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.869801223,1 +162789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.110488845,1 +162790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.465292827,1 +162791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.513772496,1 +162794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.603279137,1 +162792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.310614292,1 +162793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.770987182,1 +162795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.754390882,1 +162797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.899549346,1 +162798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.563721366,1 +162796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.610452429,1 +162799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.701431149,1 +162800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.164046808,1 +162801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.713206299,1 +162803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.421538127,1 +162804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.819120311,1 +162802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.501375374,1 +162805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.69278822,1 +162806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.266834151,1 +162808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.707589051,1 +162807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.072402422,1 +162809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.36648156,1 +162810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.934837314,1 +162811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.555310258,1 +162812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.633570698,1 +162813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.732804369,1 +162814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.678594633,1 +162815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.153776099,1 +162816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.569358212,1 +162817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.318573691,1 +162820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.976702284,1 +162821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.877348511,1 +162819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.335577997,1 +162818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.806015969,1 +162822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.082490948,1 +162823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.733615346,1 +162824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.023402893,1 +162825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.007571619,1 +162826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.428158039,1 +162827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.984148508,1 +162828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.214925426,1 +162829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.836407263,1 +162830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,1.785076143,1 +162831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.133724132,1 +162832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.700176818,1 +162835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.180025814,1 +162834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.339649851,1 +162833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.556009542,1 +162836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.153400646,1 +162837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.838435805,1 +162839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.759573751,1 +162838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.685547979,1 +162842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.452436499,1 +162841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.90980024,1 +162843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.024109493,1 +162840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.54718875,1 +162844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.476688997,1 +162846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.728411185,1 +162845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.963886106,1 +162847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.316228233,1 +162848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.72964402,1 +162849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.984406534,1 +162850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.702869995,1 +162852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.266749358,1 +162851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.046009827,1 +162854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.655261829,1 +162853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.458874153,1 +162856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.381742286,1 +162855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.857782559,1 +162857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.151947037,1 +162858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,8.532842364,1 +162860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.769007296,1 +162862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.792739383,1 +162861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.9334848,1 +162863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.638473809,1 +162865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.747938128,1 +162864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.396460524,1 +162866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,1.707450227,1 +162859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.457443656,1 +162867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.778350643,1 +162868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.687891256,1 +162870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.879828777,1 +162869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.883439941,1 +162871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.000137727,1 +162872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.960290694,1 +162873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.67959801,1 +162874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.75726462,1 +162875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.958911953,1 +162876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.319747554,1 +162877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.491308778,1 +162879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.77939295,1 +162880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.359609224,1 +162881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.061999152,1 +162882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.975645694,1 +162878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.832966162,1 +162883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.536924341,1 +162884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.409107704,1 +162886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.072515461,1 +162885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.539174184,1 +162887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.623094942,1 +162888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.379691604,1 +162889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.55795455,1 +162890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.848612581,1 +162891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.96558813,1 +162892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.269729989,1 +162894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.131631494,1 +162895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.974656539,1 +162893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.551863307,1 +162896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.853643939,1 +162897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.175205075,1 +162898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.239749045,1 +162899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.214427242,1 +162900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.31241376,1 +162902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.279188523,1 +162901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.557198057,1 +162903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.367368651,1 +162904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.681617266,1 +162905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.560157181,1 +162906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.480272519,1 +162908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.087002595,1 +162907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.292869171,1 +162909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.156291293,1 +162910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.513031,1 +162911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.106702608,1 +162912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.021326541,1 +162914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,8.226921988,1 +162913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.699232362,1 +162915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.874811362,1 +162917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.273226586,1 +162916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.222644271,1 +162919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.499640164,1 +162920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.525349599,1 +162921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.136815146,1 +162922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.423867406,1 +162918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.678447444,1 +162923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.260500068,1 +162925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.291202355,1 +162924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.751886789,1 +162927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.662763267,1 +162926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.50219017,1 +162928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.921639009,1 +162929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.216680608,1 +162931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.643812124,1 +162930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.386290529,1 +162934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,1.980334243,1 +162935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.029901755,1 +162932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.825997036,1 +162933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.617513888,1 +162936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.700687113,1 +162937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.119602777,1 +162938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.465094537,1 +162939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,1.99268045,1 +162941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.252643389,1 +162942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.681967333,1 +162943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.943952755,1 +162945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.063053996,1 +162940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.709248755,1 +162946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.138023689,1 +162944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.284403094,1 +162948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.642081684,1 +162947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.656213852,1 +162949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.8194844,1 +162950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,9.158791074,1 +162951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.623470615,1 +162952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.37016621,1 +162953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.796828644,1 +162956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.360411495,1 +162955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.361960656,1 +162954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.561044963,1 +162957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.054226245,1 +162958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.016252756,1 +162960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.615400626,1 +162959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.901146456,1 +162961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.325820937,1 +162962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.227581186,1 +162964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.671327263,1 +162965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.919368195,1 +162966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.991385648,1 +162963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,8.14173886,1 +162967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.25880031,1 +162968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.661646649,1 +162969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.307427278,1 +162971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.234975941,1 +162972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.805163615,1 +162973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.057237907,1 +162970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.472911754,1 +162975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.926905103,1 +162977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,7.218043901,1 +162974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.203255911,1 +162976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.751314715,1 +162978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.740213081,1 +162980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.501800857,1 +162979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.092672947,1 +162981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.712025018,1 +162982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.627654316,1 +162983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.877692995,1 +162985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.807497736,1 +162986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.812429563,1 +162987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.208668893,1 +162988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.645599468,1 +162989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.349492183,1 +162984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.759612803,1 +162991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.264827232,1 +162990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.473020645,1 +162992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,3.300891687,1 +162993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,6.07000847,1 +162995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.165166475,1 +162994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.298859785,1 +162996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.568003199,1 +162997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,5.184245326,1 +162998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,2.472064244,1 +162999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,8.680641285,1 +163000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,3,1,4.614367325,1 +172001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.149000647,1 +172002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.549490276,1 +172003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.553606384,1 +172005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,7.66476823,1 +172004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.878044271,1 +172006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.961812671,1 +172007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,7.769634852,1 +172008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.245794062,1 +172009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.028249358,1 +172010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.459210235,1 +172011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.890168983,1 +172012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.998449491,1 +172013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.367816068,1 +172014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.565516025,1 +172015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.147888051,1 +172017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.926188337,1 +172019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.149290685,1 +172018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.247480091,1 +172016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.935829136,1 +172020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.188326279,1 +172022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,7.096948549,1 +172021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.71036486,1 +172023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.745554427,1 +172024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.103373152,1 +172025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.805958179,1 +172026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.337075135,1 +172027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.309453589,1 +172028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.608890046,1 +172030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.231495212,1 +172029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.405120243,1 +172031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.930037742,1 +172032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.561032864,1 +172033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.966729713,1 +172034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.674548711,1 +172036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.258735677,1 +172037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.716099946,1 +172038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.98790536,1 +172039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.169674527,1 +172040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.395260047,1 +172035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.173424543,1 +172041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.85114654,1 +172042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.373525667,1 +172043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.343329681,1 +172045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.085900366,1 +172046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,8.408084033,1 +172044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.612491941,1 +172048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.76947263,1 +172047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.594189865,1 +172050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.498838734,1 +172051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.785591485,1 +172049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.144109892,1 +172052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.303814403,1 +172054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.195647626,1 +172053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.50093573,1 +172055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.939559332,1 +172056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.480725398,1 +172057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.003710553,1 +172059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.146985203,1 +172060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.337385917,1 +172061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.905235952,1 +172062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.006782403,1 +172058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.954135924,1 +172063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.26244785,1 +172066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.745208508,1 +172065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.880334959,1 +172064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.110823292,1 +172067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.008023436,1 +172070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.457657916,1 +172068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.00949448,1 +172069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.974204066,1 +172071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.800566471,1 +172074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.467266076,1 +172072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.439359078,1 +172075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.669305518,1 +172073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.608242586,1 +172076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.95487041,1 +172077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.501082659,1 +172078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.032029586,1 +172081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.748390416,1 +172079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.946401529,1 +172080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.57448857,1 +172082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.751174782,1 +172083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.633174573,1 +172085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.050594244,1 +172086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.346788899,1 +172084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.679730564,1 +172087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.077641904,1 +172089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.365993162,1 +172088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.296296955,1 +172090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.173933404,1 +172091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.590384487,1 +172092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.050744485,1 +172093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.747168162,1 +172094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.045446037,1 +172095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.370220531,1 +172096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.619453196,1 +172099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.457871114,1 +172100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.148044937,1 +172098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.661989953,1 +172097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,1.45011214,1 +172101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.753653971,1 +172102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.425737602,1 +172103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.399366533,1 +172105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.873933067,1 +172106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.346527287,1 +172104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.417802888,1 +172107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.702802495,1 +172108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.464454693,1 +172110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.464494739,1 +172109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.305038316,1 +172111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.014144256,1 +172112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,7.077949467,1 +172113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.249691894,1 +172114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.082975614,1 +172115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.866147511,1 +172116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.079723794,1 +172118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.47160739,1 +172119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.12321774,1 +172120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.375557286,1 +172121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.784767857,1 +172117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.465764314,1 +172122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.610664823,1 +172123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.515351631,1 +172125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,1.754748129,1 +172124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.740003183,1 +172126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.164159998,1 +172128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.679052854,1 +172127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.53801969,1 +172129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.55645172,1 +172130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.789038991,1 +172132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,7.018644338,1 +172131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.467792311,1 +172133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.50339595,1 +172134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.001668103,1 +172135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.887940501,1 +172137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.454969871,1 +172138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.804508951,1 +172136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.502781798,1 +172139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.492055407,1 +172142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.83128779,1 +172140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.267719969,1 +172141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.266700022,1 +172143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.361087648,1 +172144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.140588486,1 +172145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.560092735,1 +172146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.221332836,1 +172147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.559014737,1 +172148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.809904806,1 +172150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.351104137,1 +172149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.868688828,1 +172151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.674143425,1 +172153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.817966633,1 +172154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.46546908,1 +172152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,7.246731457,1 +172157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,7.613990019,1 +172158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.372656822,1 +172156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.015320139,1 +172155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.993739166,1 +172160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.102126821,1 +172159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.896646425,1 +172161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.600213117,1 +172163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.427997618,1 +172164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.025790274,1 +172165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.683497729,1 +172162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.712141216,1 +172167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.426403922,1 +172168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.415300253,1 +172166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.632428422,1 +172171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.063050853,1 +172169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.421729615,1 +172170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.170125416,1 +172172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.434562422,1 +172173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.404093214,1 +172175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,7.640778535,1 +172176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.177576228,1 +172174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.541314237,1 +172177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.867800113,1 +172178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.718818691,1 +172179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.363869577,1 +172181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.598723359,1 +172182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.847516956,1 +172183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.157802433,1 +172184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,8.89913843,1 +172180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.230628804,1 +172185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.817791642,1 +172186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.522785416,1 +172187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.185472833,1 +172188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.422247038,1 +172189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.024093186,1 +172190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.294277464,1 +172191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.043626024,1 +172192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.538696704,1 +172194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,1.593129983,1 +172193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.683510237,1 +172195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.154719219,1 +172196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.48509715,1 +172197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.029958425,1 +172198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,1.238576394,1 +172199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.170327423,1 +172201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.877313732,1 +172202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.928895048,1 +172200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.364821574,1 +172203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.313737317,1 +172204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.32828558,1 +172205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.89907003,1 +172207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.205505824,1 +172206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.874566055,1 +172208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.452902099,1 +172209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.867605187,1 +172210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.913223479,1 +172211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.693498338,1 +172213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.542109219,1 +172212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.861044068,1 +172214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,8.155151115,1 +172216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.364881893,1 +172217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.536438546,1 +172215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.439068629,1 +172219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.206463313,1 +172218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.460927716,1 +172221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.525439629,1 +172220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.578422081,1 +172223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.685422209,1 +172222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.232924236,1 +172225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.078817746,1 +172224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.319855919,1 +172226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,7.28186823,1 +172227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.983306228,1 +172228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.371766911,1 +172230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,8.433624321,1 +172229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.674897516,1 +172232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.481572405,1 +172231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.551866861,1 +172234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.250040481,1 +172233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.909646026,1 +172235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.475396033,1 +172236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.49063142,1 +172238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.849343656,1 +172239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.748728484,1 +172240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.857754397,1 +172241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.431166117,1 +172242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.419518,1 +172237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.037567752,1 +172244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.047065306,1 +172243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.414671902,1 +172245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.41926671,1 +172246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.955523682,1 +172248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.765888895,1 +172247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.335115996,1 +172250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.725546227,1 +172249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.064693973,1 +172251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.388680773,1 +172254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.256695495,1 +172252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.171014823,1 +172253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.324822773,1 +172256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.465665516,1 +172257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.104081514,1 +172255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.417631162,1 +172260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.12539885,1 +172259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.126482021,1 +172261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.644483862,1 +172258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.014651191,1 +172262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.582858377,1 +172264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.888968096,1 +172263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.863271822,1 +172265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.254065758,1 +172267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.905954374,1 +172266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.214761467,1 +172268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.344903475,1 +172269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.355843535,1 +172271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.77174773,1 +172272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.188599463,1 +172270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.529792281,1 +172274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.129355659,1 +172275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.722771933,1 +172273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.659330199,1 +172276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.352829661,1 +172277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.130262822,1 +172278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.85580437,1 +172280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.012538729,1 +172279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.178811752,1 +172281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.171411899,1 +172283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.050483076,1 +172282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.27552251,1 +172285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.157714182,1 +172284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.022108169,1 +172287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.78230945,1 +172288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.386642827,1 +172289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.657603158,1 +172290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.717291188,1 +172291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.864898854,1 +172286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.443705576,1 +172293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.341432073,1 +172295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.331046518,1 +172292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.50001715,1 +172294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.709144536,1 +172297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.344607901,1 +172296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.254028402,1 +172298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.933163645,1 +172299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,7.412771882,1 +172301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.865938778,1 +172300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.357887942,1 +172302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.904777579,1 +172303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.523920056,1 +172304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.217414608,1 +172306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.988259345,1 +172307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.101858701,1 +172308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.126865951,1 +172305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.367107466,1 +172310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.124400976,1 +172309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.95807037,1 +172312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.784777617,1 +172311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,1.704003807,1 +172313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.669103616,1 +172315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.334604847,1 +172316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.46494719,1 +172314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.185669394,1 +172317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.281813911,1 +172318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.362207484,1 +172319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.283386245,1 +172321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.233757519,1 +172320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.354475031,1 +172323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.36626268,1 +172324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.372761038,1 +172325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.306891823,1 +172322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.325877115,1 +172326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.38027434,1 +172327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.430570319,1 +172329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.978668385,1 +172328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.558832814,1 +172330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.435072323,1 +172331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,8.472234182,1 +172332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.216373746,1 +172334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.98051126,1 +172333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.779162993,1 +172335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.435781763,1 +172336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.83187636,1 +172337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.433495791,1 +172338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.927784479,1 +172339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,7.576112012,1 +172340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.651573109,1 +172341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.477495837,1 +172343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.514714712,1 +172344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.442707348,1 +172345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.114992844,1 +172342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,9.563075968,1 +172346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.907554982,1 +172347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.840127401,1 +172348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.797409646,1 +172350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.807057822,1 +172351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.455091978,1 +172349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.83108844,1 +172352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,7.125619729,1 +172353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.833394382,1 +172354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.237672136,1 +172356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.123525451,1 +172357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.990373843,1 +172355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.425675859,1 +172359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.566215526,1 +172361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.211992608,1 +172360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.898378827,1 +172358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.884711622,1 +172362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.628071816,1 +172364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.684365764,1 +172365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.938554135,1 +172366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.978092367,1 +172367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.557410681,1 +172368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,7.085670983,1 +172363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.452145288,1 +172369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.41461182,1 +172371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.484730045,1 +172370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.808897675,1 +172372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.081026798,1 +172373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.06927678,1 +172374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.616517993,1 +172375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.628996402,1 +172376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.945728141,1 +172377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.943746704,1 +172378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.769937631,1 +172380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.170918514,1 +172379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.264762038,1 +172381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.871395984,1 +172382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.617982843,1 +172383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.186251087,1 +172385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,1.540868417,1 +172386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.836243332,1 +172384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.255800705,1 +172387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.297063984,1 +172388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.747416934,1 +172389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.737185042,1 +172392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.393736313,1 +172390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.497492488,1 +172391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.870594515,1 +172393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.119604795,1 +172394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.514531598,1 +172396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.79639744,1 +172395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.470664187,1 +172397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.459705823,1 +172398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.724657132,1 +172399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.94705061,1 +172400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.427112969,1 +172401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.536415807,1 +172403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.252513921,1 +172404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.430976127,1 +172402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.673239519,1 +172405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.161884104,1 +172406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.555746109,1 +172408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.129426102,1 +172409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.106839511,1 +172410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.345914169,1 +172407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.267795878,1 +172411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.307591235,1 +172412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.135573037,1 +172413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.965905341,1 +172414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.04281341,1 +172415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.595593918,1 +172416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.938593173,1 +172418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.059985545,1 +172417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.703607851,1 +172419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.704159825,1 +172420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.346949911,1 +172421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.569572191,1 +172424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.216987961,1 +172422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.08929092,1 +172423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.083423444,1 +172425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.420456973,1 +172426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.896594781,1 +172428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.217864571,1 +172427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,8.948121534,1 +172429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.241635503,1 +172430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.466150977,1 +172431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.460482415,1 +172432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.979666635,1 +172433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.540914761,1 +172435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.529117803,1 +172434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,7.093248377,1 +172437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.495446072,1 +172438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.251871038,1 +172439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.821973061,1 +172440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.051394599,1 +172436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.14850383,1 +172441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.004331228,1 +172442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,7.161739949,1 +172443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.450539438,1 +172445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.535800574,1 +172444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.049359958,1 +172446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,1.876162552,1 +172447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.450976178,1 +172448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.511649019,1 +172450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.37542404,1 +172449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.889918031,1 +172451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.821906295,1 +172452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.350018629,1 +172453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,7.948271196,1 +172454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.017420389,1 +172455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.151151529,1 +172456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.463909861,1 +172457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.117893105,1 +172459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.170535661,1 +172460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.744394363,1 +172461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.706136563,1 +172458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.119234014,1 +172463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,7.595736932,1 +172462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.658700916,1 +172465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.685253593,1 +172464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.451383063,1 +172467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.017342057,1 +172466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.865411128,1 +172468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.494840285,1 +172469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.075148857,1 +172470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.450909804,1 +172471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.557393237,1 +172472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.256621897,1 +172473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.005645239,1 +172474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.20743685,1 +172475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.841594732,1 +172477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.57142474,1 +172479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.75993607,1 +172478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.533403327,1 +172476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.656575928,1 +172480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.290695369,1 +172481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.649379973,1 +172482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.6252282,1 +172483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,7.124216052,1 +172484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.222110585,1 +172485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.784286797,1 +172486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.048584122,1 +172488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.207483766,1 +172487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.432445179,1 +172489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.996531153,1 +172490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.17137368,1 +172491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.90106259,1 +172492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.604206368,1 +172493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.992804988,1 +172494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.258993259,1 +172495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.803938852,1 +172497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.900415987,1 +172496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.003360297,1 +172498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.519989789,1 +172499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.243770654,1 +172500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.989001863,1 +172502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.422004807,1 +172501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.28310881,1 +172503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,8.752480521,1 +172504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.890978297,1 +172505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.125135388,1 +172506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.300619176,1 +172507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.410209257,1 +172508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.404155242,1 +172509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.036592574,1 +172510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.953791286,1 +172511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.578697858,1 +172512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,7.032978127,1 +172513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.815051125,1 +172514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.50250289,1 +172515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.629937074,1 +172516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.983659982,1 +172517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.861632914,1 +172519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.647778706,1 +172518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.890173046,1 +172520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.005797855,1 +172521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.537898861,1 +172522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,7.157616111,1 +172523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.033933327,1 +172524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.493251931,1 +172525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.979277218,1 +172527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.215412701,1 +172526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.081265742,1 +172528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.365513456,1 +172529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.74829516,1 +172531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.027008712,1 +172533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.801696886,1 +172532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.681876121,1 +172530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.989362577,1 +172534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.229910889,1 +172535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.042726498,1 +172536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.847243095,1 +172538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.344890927,1 +172539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.195989877,1 +172537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.022718861,1 +172540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.011357785,1 +172541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.927121068,1 +172542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.576007712,1 +172543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.497113938,1 +172545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.960606224,1 +172544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.211508493,1 +172546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,7.132201245,1 +172548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.929370713,1 +172550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.125164052,1 +172549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.234291099,1 +172547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.039385126,1 +172551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.625075458,1 +172553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.969716204,1 +172552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.511783172,1 +172555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.130652689,1 +172556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.37525909,1 +172557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.044696748,1 +172554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.487143958,1 +172559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.362589854,1 +172561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.22275037,1 +172558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.320287135,1 +172560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.215293469,1 +172563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.762762626,1 +172564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.391559527,1 +172565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.386161242,1 +172567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.496979108,1 +172562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.843273151,1 +172568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.293266523,1 +172569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.459919575,1 +172570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.33258544,1 +172571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.596777706,1 +172566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.260931299,1 +172573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.533510061,1 +172572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.895042901,1 +172574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.485533526,1 +172575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.817807031,1 +172576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.976898182,1 +172577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.162657971,1 +172578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.215813565,1 +172579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.223883656,1 +172581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,7.203509523,1 +172582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.394672114,1 +172583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.007104696,1 +172584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.304796238,1 +172580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.573881408,1 +172585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.650664337,1 +172588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,7.947327579,1 +172587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,0.739685436,1 +172586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.054496015,1 +172589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.740283475,1 +172590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.533051001,1 +172593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.125138239,1 +172591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.66750914,1 +172592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.912733132,1 +172594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.125704037,1 +172596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.322648233,1 +172595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.083353957,1 +172597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.4988657,1 +172599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.518513125,1 +172600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.13694102,1 +172601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.451907043,1 +172598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.961535375,1 +172603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.911900296,1 +172602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.846647405,1 +172605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.75901172,1 +172604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.887649079,1 +172607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.915107194,1 +172606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.223846149,1 +172608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.994926699,1 +172610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.17924539,1 +172609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.639321391,1 +172611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.864681147,1 +172612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.453746433,1 +172613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.838888479,1 +172615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.117044501,1 +172614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.131085389,1 +172617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.103914655,1 +172618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.851180036,1 +172616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.511057435,1 +172619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.727818285,1 +172620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.672424468,1 +172622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.074525316,1 +172623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.778244232,1 +172621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.490917502,1 +172625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,7.272281391,1 +172624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.798864722,1 +172627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.261778651,1 +172626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,8.239142996,1 +172628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.058808171,1 +172629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.617155915,1 +172630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.781070123,1 +172632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.037034023,1 +172631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.621371668,1 +172634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.556996636,1 +172633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.257443913,1 +172635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.458699908,1 +172636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.589136499,1 +172637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.474269944,1 +172638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.288356721,1 +172639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.706156555,1 +172640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.58853271,1 +172641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.286638881,1 +172642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.707721398,1 +172643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.32660337,1 +172645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.669529845,1 +172644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.691975116,1 +172646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.176829564,1 +172647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,7.019631203,1 +172648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.212761125,1 +172649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.819438886,1 +172650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.961510446,1 +172651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.917815351,1 +172652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.639455469,1 +172654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.326757997,1 +172655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.266954174,1 +172656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.540159909,1 +172653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.51931234,1 +172657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.726325018,1 +172658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.575027013,1 +172659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.746497994,1 +172661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.859918481,1 +172662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.651068444,1 +172663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.069196746,1 +172664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.702857075,1 +172660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.690697865,1 +172665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.83842305,1 +172667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.562751395,1 +172666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.950487449,1 +172668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.68640761,1 +172669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.9284063,1 +172671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.587628992,1 +172672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,1.806659877,1 +172673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.552879275,1 +172674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.573798455,1 +172670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.119759691,1 +172676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.496503059,1 +172677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.335684762,1 +172678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.529362782,1 +172675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.363626121,1 +172680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,1.683583741,1 +172681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.857463076,1 +172679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.489398435,1 +172682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.075120435,1 +172683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.173969368,1 +172684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.34465991,1 +172685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.546760504,1 +172687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.103940119,1 +172689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.535914086,1 +172686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.286351253,1 +172690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.749791843,1 +172691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.117221877,1 +172692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.416205816,1 +172688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.545574289,1 +172694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.49092544,1 +172693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.055002454,1 +172695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.091666088,1 +172696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.977789907,1 +172698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.263122371,1 +172699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.324270322,1 +172697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.211750464,1 +172700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.692355253,1 +172701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.060623546,1 +172703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,1.321527567,1 +172704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.526718747,1 +172705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.94024249,1 +172706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.805983962,1 +172702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.904892359,1 +172708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.311063987,1 +172709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.797926577,1 +172710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.8158984,1 +172713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.501363837,1 +172707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.470997698,1 +172712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.498233731,1 +172711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.111102243,1 +172714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,1.933325134,1 +172715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.363091718,1 +172716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,7.229677976,1 +172717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.804922035,1 +172719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.000227625,1 +172720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.576945049,1 +172721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.544312959,1 +172718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.975926771,1 +172722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.779604102,1 +172723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.624237474,1 +172724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.691510518,1 +172725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.94777736,1 +172729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.410280568,1 +172727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.699482692,1 +172726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.679827052,1 +172728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.848639152,1 +172731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.896456645,1 +172730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.588796865,1 +172732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.340753974,1 +172733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.822851309,1 +172734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.595750975,1 +172736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,9.437825908,1 +172737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.680452703,1 +172738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,0.986170303,1 +172735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.965308536,1 +172739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.510808238,1 +172740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.572283979,1 +172741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.500150561,1 +172742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.669934171,1 +172745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.532318826,1 +172743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.983698288,1 +172744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.53313957,1 +172746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.153767616,1 +172747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.31183028,1 +172748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.507528722,1 +172749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.5294748,1 +172750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,7.489877171,1 +172752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.900336772,1 +172753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.639803525,1 +172754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.470997036,1 +172751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.821807206,1 +172755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.545356748,1 +172756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.806431722,1 +172758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.910794668,1 +172757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.479820206,1 +172759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.448643055,1 +172760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.65870341,1 +172761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.134970156,1 +172762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.888222671,1 +172764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.036598437,1 +172763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.900054034,1 +172766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.302059383,1 +172767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.262842065,1 +172768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.546823648,1 +172765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.271047507,1 +172770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.676646724,1 +172771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.05344166,1 +172772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.324045001,1 +172769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.763831359,1 +172774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.731013278,1 +172773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.685875668,1 +172776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.312182207,1 +172775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.636131949,1 +172778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.029731744,1 +172777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.211164063,1 +172779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.736312846,1 +172781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.658244439,1 +172782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.453702652,1 +172783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.022504962,1 +172780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.878771076,1 +172784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.66912343,1 +172785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.45984647,1 +172786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,7.088718343,1 +172787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.210478678,1 +172788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.708414638,1 +172789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.925670357,1 +172791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.469623657,1 +172790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.491910167,1 +172792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.323549146,1 +172793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.300426726,1 +172795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.032713215,1 +172796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.659875934,1 +172797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.890496189,1 +172798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.287140673,1 +172794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.334419838,1 +172799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.652253607,1 +172800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.230906269,1 +172801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.384162289,1 +172803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.828192045,1 +172802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.422160674,1 +172804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.091000058,1 +172805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.337539053,1 +172806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.132592472,1 +172807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.335095076,1 +172808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.762518192,1 +172810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.98652992,1 +172809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.843302881,1 +172811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.748664898,1 +172812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.485288651,1 +172814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.7020754,1 +172813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.536812731,1 +172816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.447353632,1 +172817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.066110977,1 +172818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,1.563553914,1 +172815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.711755946,1 +172819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.722020875,1 +172820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.270540561,1 +172821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.31009309,1 +172822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.191323935,1 +172823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.39962819,1 +172825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.284048822,1 +172824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.547503118,1 +172826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.600352257,1 +172827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.619842718,1 +172829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.690279557,1 +172828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.467654089,1 +172830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.264927512,1 +172831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.247940016,1 +172833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.441235732,1 +172832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.679776004,1 +172834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.443526785,1 +172835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,9.59560849,1 +172836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.044781752,1 +172838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.288731857,1 +172837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.417133869,1 +172839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.184662824,1 +172840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.371316262,1 +172841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.69623106,1 +172842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,1.894256583,1 +172843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.428166546,1 +172844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.7206215,1 +172846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.236347648,1 +172845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.704415531,1 +172847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.591991957,1 +172848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.889209834,1 +172849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.165523873,1 +172850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.469665077,1 +172851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.809611995,1 +172853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.001712195,1 +172852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.827331044,1 +172855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.537346384,1 +172854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.757281061,1 +172857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.192205883,1 +172856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.151683768,1 +172858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.475554497,1 +172859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.069520856,1 +172860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.320377504,1 +172861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.803692444,1 +172862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.198108483,1 +172863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.527581735,1 +172864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.512221995,1 +172867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.480499425,1 +172865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.143769139,1 +172866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.71799442,1 +172868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.787741085,1 +172869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.063671692,1 +172870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.960295695,1 +172871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.007781233,1 +172872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.826959886,1 +172873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.69860935,1 +172875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.989471265,1 +172874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.98158025,1 +172876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.411528541,1 +172877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.197200293,1 +172878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.472361278,1 +172879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.450450026,1 +172880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.162949891,1 +172881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.684081503,1 +172882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.580464205,1 +172883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.374235628,1 +172885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.487344871,1 +172884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.618664807,1 +172886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.261285553,1 +172888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.577269741,1 +172887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.625858109,1 +172890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.949662554,1 +172891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.640007395,1 +172889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.951779614,1 +172892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.157885238,1 +172893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.791897877,1 +172894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.510336679,1 +172897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.352728822,1 +172895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.927009954,1 +172896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.651566698,1 +172898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.35961255,1 +172899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.541052899,1 +172900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,8.149758939,1 +172902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.078281941,1 +172901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.585246278,1 +172903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.597554248,1 +172905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.712104991,1 +172906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.858494406,1 +172907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.519569344,1 +172904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.097644324,1 +172908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.287914088,1 +172909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.472371379,1 +172911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.902596323,1 +172910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.663290039,1 +172912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,8.251667814,1 +172913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.076582093,1 +172914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.530769943,1 +172915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.399963694,1 +172916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.022943468,1 +172918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.633258684,1 +172919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.313863326,1 +172917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.669481347,1 +172920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.902809493,1 +172922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.748932186,1 +172924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,8.128074152,1 +172923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.51839022,1 +172921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.138421364,1 +172925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.387275911,1 +172927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.352118286,1 +172926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.408480101,1 +172928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.064068403,1 +172929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,1.257828691,1 +172930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.072830606,1 +172931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.767228121,1 +172932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,7.822147571,1 +172933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.038647673,1 +172935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.340494257,1 +172934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.578081206,1 +172936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.021803114,1 +172937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.747141582,1 +172938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.159327845,1 +172939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.458991685,1 +172941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.375262924,1 +172940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.88964481,1 +172942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.914682117,1 +172944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.01551403,1 +172945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.821494508,1 +172946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.304881637,1 +172947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.648342621,1 +172948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.922174997,1 +172943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.864431579,1 +172950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.332118623,1 +172949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.583462308,1 +172951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.902810161,1 +172952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.976529221,1 +172953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.82779102,1 +172954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.004370578,1 +172955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.604097086,1 +172956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.868222619,1 +172958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.462327949,1 +172957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.020256588,1 +172960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.551219657,1 +172959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.887640573,1 +172961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.609961525,1 +172962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.93611184,1 +172965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.56764806,1 +172964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.396212874,1 +172966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.247951788,1 +172967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.440467798,1 +172968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.918039219,1 +172969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.290164539,1 +172963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.805879573,1 +172971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.619068552,1 +172970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.219776807,1 +172973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.067118901,1 +172972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.669418609,1 +172974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.898230197,1 +172975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.972901589,1 +172977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.685085472,1 +172978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,1.630808518,1 +172979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.836959591,1 +172976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.173777699,1 +172980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.44068111,1 +172982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.217775803,1 +172981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.869620788,1 +172983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.691109059,1 +172985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.350200894,1 +172984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.17214133,1 +172986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.595794556,1 +172988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.843448223,1 +172987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.281113154,1 +172990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.678134005,1 +172989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.827257661,1 +172991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,6.545220988,1 +172992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.827001573,1 +172993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.520035792,1 +172994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,5.970922671,1 +172995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.456442737,1 +172996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,2.446639517,1 +172998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.592520153,1 +172997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.666300586,1 +172999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,3.707798287,1 +173000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,3,1,4.166547326,1 +182001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.998946741,1 +182002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.419946521,1 +182004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.975618159,1 +182005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.366888253,1 +182006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.470453177,1 +182003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.88179165,1 +182007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.623925308,1 +182008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.352614127,1 +182009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.379601304,1 +182011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.633752588,1 +182012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.854584773,1 +182010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,1.891702361,1 +182013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.431117941,1 +182014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.867102231,1 +182015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.924625197,1 +182016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.869476018,1 +182017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.750877657,1 +182018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.917340108,1 +182019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.333318343,1 +182020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.025681535,1 +182021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.284924098,1 +182022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.789584251,1 +182023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.906087933,1 +182025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.358039367,1 +182024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,8.049021146,1 +182026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.455925908,1 +182028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.687134277,1 +182029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.04981549,1 +182030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.312716268,1 +182027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.498863292,1 +182031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.377964599,1 +182033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.116645055,1 +182032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.246478211,1 +182035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.45406834,1 +182036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.237595039,1 +182034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,1.593947197,1 +182037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.69893118,1 +182038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.740180857,1 +182041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.471107582,1 +182039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.935380752,1 +182040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.490631441,1 +182044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.295195794,1 +182042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.910406426,1 +182043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.925926289,1 +182045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.978139999,1 +182047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.932417844,1 +182046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,8.931625441,1 +182049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.797484683,1 +182051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.153441271,1 +182050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.090913001,1 +182048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.515666182,1 +182052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.262841973,1 +182053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.978098092,1 +182054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.41304226,1 +182055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,1.902327004,1 +182057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.001238084,1 +182058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,9.395634393,1 +182059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.963027082,1 +182056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.301869313,1 +182060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.03984755,1 +182061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.261609206,1 +182062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.056214745,1 +182063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.606750638,1 +182064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.308597708,1 +182065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.934234826,1 +182067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.633533182,1 +182069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.203568697,1 +182068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.592418607,1 +182066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.970285763,1 +182070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.128957277,1 +182073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.471523825,1 +182071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.795717028,1 +182072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.415945828,1 +182075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.614758765,1 +182076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.707704218,1 +182077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.452595024,1 +182074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.002733935,1 +182078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.250372698,1 +182079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.378616861,1 +182080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.750013344,1 +182082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.441683511,1 +182081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.96448273,1 +182083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.612522282,1 +182084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.949339711,1 +182086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.92535053,1 +182087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,1.958672458,1 +182088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.177875699,1 +182085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.459839116,1 +182089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.805536652,1 +182090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.261302833,1 +182091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,8.574721439,1 +182092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.342063674,1 +182094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.061090068,1 +182095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.498330678,1 +182096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.147050915,1 +182097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.222908399,1 +182093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.518403427,1 +182099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.61802929,1 +182098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.294382819,1 +182101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.357170251,1 +182103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.76309227,1 +182100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.303685728,1 +182102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.297326267,1 +182105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.028970949,1 +182104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.50301012,1 +182106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.684837974,1 +182107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.153994046,1 +182108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.339963146,1 +182109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.761170981,1 +182110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.389483557,1 +182111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.451802224,1 +182112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.289509656,1 +182114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.597434108,1 +182115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.984812297,1 +182116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.492419188,1 +182113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.665893732,1 +182118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.994767123,1 +182117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.928750663,1 +182120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.900875262,1 +182119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.97889221,1 +182121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.605984606,1 +182122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.915599211,1 +182124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.118816342,1 +182123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.909350649,1 +182125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.337855027,1 +182126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.265100652,1 +182127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.81718085,1 +182128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.956641338,1 +182129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,0.96142855,1 +182130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.780980329,1 +182131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.936132327,1 +182132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.714409806,1 +182134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.221463435,1 +182135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.174963426,1 +182133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.122598201,1 +182137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.229800475,1 +182136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.316428409,1 +182138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.044013372,1 +182139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.081994851,1 +182140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.79531895,1 +182142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.439959435,1 +182143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.159414584,1 +182141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.074137022,1 +182144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.545274638,1 +182145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.90021354,1 +182146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.082306407,1 +182147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.180626574,1 +182148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.211297106,1 +182149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.313212331,1 +182150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.97247389,1 +182151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.622284966,1 +182152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.810151574,1 +182153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.37254178,1 +182154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.839751416,1 +182155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.847447567,1 +182156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.213793682,1 +182157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.167490785,1 +182158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.949283097,1 +182159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,8.000849228,1 +182160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.377167891,1 +182161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.711427137,1 +182162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.626651687,1 +182164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.793633402,1 +182165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.197324224,1 +182163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.233590367,1 +182166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.174568141,1 +182167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.420269274,1 +182168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.980194253,1 +182171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.297436034,1 +182169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.201724735,1 +182170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.974340104,1 +182172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.895038572,1 +182173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.371487427,1 +182174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.352119668,1 +182175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.414084789,1 +182176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.164590452,1 +182177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.653365853,1 +182178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.83317204,1 +182179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.537182025,1 +182183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.744947518,1 +182181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.882078633,1 +182180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.540361427,1 +182182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.059899337,1 +182185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.833458787,1 +182184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.438663568,1 +182186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.66940402,1 +182187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.294623581,1 +182188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.238917906,1 +182189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.128892469,1 +182191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.854583659,1 +182190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.669033217,1 +182192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.604249608,1 +182194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.072878325,1 +182195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.270616816,1 +182193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.655150136,1 +182196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.485502194,1 +182197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.709633454,1 +182198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.494176115,1 +182200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.498088841,1 +182199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,1.598308393,1 +182201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.857047961,1 +182203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.754818124,1 +182202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.87745467,1 +182205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.419230004,1 +182204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.340466551,1 +182206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.602217087,1 +182207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.306478,1 +182208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,9.325647379,1 +182211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.625839941,1 +182210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.989561464,1 +182209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.194633799,1 +182212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.207264714,1 +182214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.589742648,1 +182213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.324896247,1 +182215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.981320534,1 +182216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.230481205,1 +182217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.739749926,1 +182220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.001889788,1 +182218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.759932067,1 +182221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.410473956,1 +182222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,8.119461081,1 +182223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.002963766,1 +182219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.834875317,1 +182226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.893946358,1 +182224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.171327321,1 +182228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.278525875,1 +182227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.179723962,1 +182225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.641184518,1 +182229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.384749346,1 +182232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.68316862,1 +182231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.397421095,1 +182233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.845563209,1 +182230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.978158487,1 +182234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.015172807,1 +182235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.853350529,1 +182236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.871037096,1 +182238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.684396509,1 +182237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.052808004,1 +182240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.143608502,1 +182242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.714172777,1 +182241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.123087559,1 +182239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.679874482,1 +182243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.316864646,1 +182244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.706611158,1 +182245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.294050132,1 +182246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.729077863,1 +182247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.557061969,1 +182249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.840651263,1 +182250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.901176302,1 +182251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.738576641,1 +182248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.70192205,1 +182252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.604945236,1 +182254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.943312809,1 +182253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.759049678,1 +182256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,8.585686768,1 +182255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.059960777,1 +182257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.898785681,1 +182258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.709441152,1 +182260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.033433617,1 +182261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.582264102,1 +182259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.904381049,1 +182262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.314137091,1 +182263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.763254466,1 +182264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.929776594,1 +182267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.663235181,1 +182266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.12387975,1 +182265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.612068907,1 +182269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.071990296,1 +182270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.906246664,1 +182271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.94673561,1 +182268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.778866559,1 +182274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.85697716,1 +182272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.04565868,1 +182275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.567448224,1 +182273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.651012489,1 +182277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.234516142,1 +182278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.862135862,1 +182279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.796750364,1 +182276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.630378858,1 +182280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.778884593,1 +182281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.646346758,1 +182282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.178158195,1 +182283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.173421897,1 +182284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.088784032,1 +182287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.232743245,1 +182285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.195857166,1 +182286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.678506172,1 +182289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.656522387,1 +182288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.714031983,1 +182290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.782812934,1 +182291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.902723631,1 +182292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.854466827,1 +182293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.252588302,1 +182294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.418213039,1 +182295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,9.799804971,1 +182297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.794429298,1 +182298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.806750467,1 +182299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.861140515,1 +182300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.525159249,1 +182296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.822918037,1 +182304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.270372654,1 +182301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.962396933,1 +182302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.141700626,1 +182303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.840305863,1 +182305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.216401265,1 +182306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.894428629,1 +182307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.330748293,1 +182308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.599679116,1 +182309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.380849179,1 +182310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.560028054,1 +182312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.174430631,1 +182311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.143104069,1 +182314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.220915655,1 +182315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.220108375,1 +182316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.678102313,1 +182313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.385417994,1 +182318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.606869344,1 +182317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.092352512,1 +182320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.621407998,1 +182322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.890249828,1 +182321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.17805416,1 +182323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.471913786,1 +182324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.860742069,1 +182326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.470216989,1 +182325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.486518574,1 +182319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.042599599,1 +182327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.961512465,1 +182329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.044184575,1 +182328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.500138372,1 +182330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.428361182,1 +182331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.097740477,1 +182333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.702836708,1 +182332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.443448111,1 +182334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.680816019,1 +182335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.250123973,1 +182336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.654752916,1 +182337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.403847005,1 +182339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,9.920344577,1 +182338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.625340375,1 +182340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.987382075,1 +182341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.927294031,1 +182342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.163601017,1 +182344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.547133248,1 +182345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.898992115,1 +182348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.085300774,1 +182343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.942478376,1 +182346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.272372974,1 +182350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.080506922,1 +182347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.254344812,1 +182351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.577767276,1 +182349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.200185661,1 +182352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.362375739,1 +182353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.643969744,1 +182354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.607268061,1 +182355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,1.87603099,1 +182357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.093183865,1 +182356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.857403689,1 +182358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.035255563,1 +182359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.055941376,1 +182360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.491669812,1 +182362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.796303176,1 +182363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,8.33069543,1 +182361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.39278772,1 +182364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.388971534,1 +182365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.322346224,1 +182366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.289257534,1 +182367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.701448575,1 +182368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.71354423,1 +182369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.893538898,1 +182370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.827616533,1 +182371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.735064039,1 +182372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.649011272,1 +182373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.614989561,1 +182374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.439222702,1 +182376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.934392446,1 +182377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.681525162,1 +182378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.865122003,1 +182375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.120287462,1 +182379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.029710741,1 +182380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.340039187,1 +182382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.656744235,1 +182383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.759920733,1 +182384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.807980841,1 +182381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.715371219,1 +182385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.382616484,1 +182387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.33014939,1 +182386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.521503616,1 +182388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,8.342704607,1 +182390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.807345696,1 +182391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.912525619,1 +182389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.043677367,1 +182393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.899566353,1 +182394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.831809172,1 +182395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.762782297,1 +182396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.488140366,1 +182397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.508700489,1 +182398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.052871345,1 +182392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.180649698,1 +182399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.853572217,1 +182400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.263705548,1 +182402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.928919067,1 +182401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.992205922,1 +182403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,1.576698797,1 +182404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.318039548,1 +182406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.982490925,1 +182407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.440503771,1 +182405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.713594379,1 +182410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.360232401,1 +182408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.543311397,1 +182409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.063283054,1 +182411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.188059708,1 +182412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.886278809,1 +182413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.422846921,1 +182414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.911341062,1 +182415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.711123446,1 +182416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.601684855,1 +182417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.313341287,1 +182418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.680901103,1 +182419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,8.410374699,1 +182420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.545308832,1 +182421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.537011236,1 +182422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.961476752,1 +182424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.960884533,1 +182425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.533524415,1 +182423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.816079324,1 +182427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,8.091902998,1 +182428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.270459988,1 +182429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.23999333,1 +182430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.185334226,1 +182431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.369359388,1 +182432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.175828175,1 +182426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.011592048,1 +182433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.887321696,1 +182434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,8.59184599,1 +182435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.594679478,1 +182436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.970840655,1 +182437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.634573805,1 +182438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.582996852,1 +182440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.187199285,1 +182441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,1.449047551,1 +182439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,9.189372009,1 +182442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.76213617,1 +182443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.155209245,1 +182444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.982800778,1 +182445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.963595521,1 +182446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.507219524,1 +182448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.892870541,1 +182449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.731135118,1 +182450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.46752503,1 +182451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.76120113,1 +182447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.821007733,1 +182452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.007972431,1 +182453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.922665422,1 +182455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.180758745,1 +182456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.111840518,1 +182454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.041320536,1 +182457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.599385431,1 +182458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.473787955,1 +182461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.933215854,1 +182460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.221944428,1 +182459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.809126207,1 +182462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.733156389,1 +182464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.25245416,1 +182463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.234370026,1 +182465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.527271759,1 +182466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.431888971,1 +182468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.416930028,1 +182467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.04168581,1 +182470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.351975622,1 +182471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,1.159861665,1 +182472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.508916194,1 +182469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.131788896,1 +182474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.838928015,1 +182473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,8.915583458,1 +182475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.572885614,1 +182476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.815508819,1 +182477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.727945552,1 +182478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.949187006,1 +182479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.821811678,1 +182480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.583480117,1 +182481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,1.252944336,1 +182483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.283349016,1 +182482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.072870832,1 +182484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.723660942,1 +182487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.144010941,1 +182486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.151677431,1 +182485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.978698819,1 +182489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.250638509,1 +182491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.878035691,1 +182488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.588110685,1 +182490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.765075708,1 +182492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,1.80748129,1 +182493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.312994962,1 +182495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.622509582,1 +182494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.621303731,1 +182496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.695662544,1 +182497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.951130681,1 +182498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.369975398,1 +182499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.199408374,1 +182500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.309574408,1 +182502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.89993605,1 +182501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.252562941,1 +182503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.166968647,1 +182504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.834677553,1 +182505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.103475282,1 +182506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.60276635,1 +182507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.521589663,1 +182508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.907138873,1 +182510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.12567085,1 +182509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.451687706,1 +182512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.311302764,1 +182511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.863470567,1 +182513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.316716802,1 +182514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.708525758,1 +182515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.605862427,1 +182516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.888056965,1 +182517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.924918708,1 +182518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.076018829,1 +182519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.572941861,1 +182521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.239116637,1 +182522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.924906777,1 +182523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.01148514,1 +182524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.344329416,1 +182525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.742812643,1 +182526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.106142488,1 +182520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.284069326,1 +182527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.397428262,1 +182528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.787747834,1 +182529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.145928383,1 +182532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.374896837,1 +182531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.01705463,1 +182530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.712827338,1 +182533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.177584047,1 +182535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.916521247,1 +182536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.851346429,1 +182534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.185901624,1 +182537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.511921876,1 +182538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.276374917,1 +182540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.955113207,1 +182539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.220949274,1 +182541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.377762134,1 +182542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.62130939,1 +182543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.952900738,1 +182545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.692962395,1 +182547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.902669667,1 +182544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.187462766,1 +182546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.257410107,1 +182548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.770148734,1 +182550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.775729764,1 +182549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.077033167,1 +182551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.253140806,1 +182552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.871675805,1 +182555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.51302859,1 +182554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.608204834,1 +182556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.515863485,1 +182553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.564839735,1 +182558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.074836562,1 +182557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.815621312,1 +182559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.169809469,1 +182561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.492288189,1 +182562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.135109198,1 +182560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.222905221,1 +182563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.907384962,1 +182564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.397005656,1 +182567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.418761588,1 +182566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.840801457,1 +182565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.273486787,1 +182568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.108155053,1 +182569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.926829379,1 +182571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.730872826,1 +182570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.728655847,1 +182572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.192974559,1 +182573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.330881939,1 +182574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.430224867,1 +182575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.531291552,1 +182576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.357742327,1 +182578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.435345877,1 +182577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.178398513,1 +182579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.91083911,1 +182580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.735592674,1 +182581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.433486609,1 +182582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.427771536,1 +182583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.86575836,1 +182584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,9.17417081,1 +182585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.688327851,1 +182586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.951638468,1 +182587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.209224474,1 +182588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.064893396,1 +182589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.425771707,1 +182590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,1.987538987,1 +182592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.816863398,1 +182591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.286451946,1 +182593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.090654339,1 +182594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.645153236,1 +182596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.181552681,1 +182597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.302319284,1 +182598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.169072183,1 +182595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.859205476,1 +182599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.377709178,1 +182600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.984688337,1 +182601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.243327374,1 +182603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.318523217,1 +182602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.918082739,1 +182604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.488064166,1 +182605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.193025486,1 +182606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.893982663,1 +182608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.813075682,1 +182609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.168348236,1 +182607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.138527078,1 +182611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.75473443,1 +182612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.321003249,1 +182613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.334346827,1 +182610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.831305083,1 +182614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.605504416,1 +182615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.498956544,1 +182616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.479610944,1 +182617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,8.126886426,1 +182618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.685276805,1 +182619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.896247694,1 +182621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.133945791,1 +182622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.358261864,1 +182623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.323221345,1 +182624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.764418368,1 +182620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.49322116,1 +182625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.534881356,1 +182628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.56400477,1 +182627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.633278702,1 +182626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.268084783,1 +182629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.567325545,1 +182630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.402691952,1 +182631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.318361933,1 +182632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.356320533,1 +182633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.547775183,1 +182634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.43238561,1 +182635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.816327547,1 +182636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.167928587,1 +182637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.769450282,1 +182639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.464572922,1 +182640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.457032297,1 +182638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.962079138,1 +182641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.867643273,1 +182642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.646532167,1 +182644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.946678089,1 +182645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.266202233,1 +182646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.242569271,1 +182647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.991189661,1 +182643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.897426463,1 +182648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.3386334,1 +182649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.286953797,1 +182650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.563526447,1 +182652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.732544924,1 +182651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.902246588,1 +182653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.912130541,1 +182655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.058648171,1 +182654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.804272999,1 +182656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.794110946,1 +182657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,8.747566274,1 +182658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.575605961,1 +182659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.000602906,1 +182661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.886971262,1 +182660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.478667583,1 +182662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.47971342,1 +182663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.065642579,1 +182664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.736007044,1 +182666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.837736774,1 +182667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.988591685,1 +182668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.669785822,1 +182665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.418997368,1 +182669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.13126764,1 +182670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.400387147,1 +182673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.904700568,1 +182671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.661892902,1 +182672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.713403336,1 +182674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.55618074,1 +182675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.917482734,1 +182676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.292406817,1 +182678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.432232453,1 +182677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.802855606,1 +182680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.57353153,1 +182682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.560061502,1 +182681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.811482706,1 +182679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.026992058,1 +182684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.94928979,1 +182683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.794054014,1 +182685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.675216656,1 +182687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.075615795,1 +182686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.725849607,1 +182688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.566870032,1 +182689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.525823782,1 +182690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.946937243,1 +182692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.032474097,1 +182693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.19792458,1 +182691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.163611781,1 +182694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.543019746,1 +182695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.295802646,1 +182696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.607384483,1 +182697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.43419475,1 +182698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.983801545,1 +182700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.575213995,1 +182699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.08412652,1 +182701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.542784404,1 +182703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.248471401,1 +182704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,8.914546144,1 +182702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.296488057,1 +182706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.226450991,1 +182707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.982409825,1 +182705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.794705262,1 +182708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.366498507,1 +182709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,8.007843382,1 +182710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.099962978,1 +182712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.52280005,1 +182711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.726817784,1 +182713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,1.830116997,1 +182714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.277497724,1 +182715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.840563157,1 +182716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.765939815,1 +182717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.459680429,1 +182718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.188064541,1 +182719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.217388839,1 +182720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.618415928,1 +182721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.218848494,1 +182722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.085814536,1 +182723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.542015318,1 +182724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.666604116,1 +182725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.777318304,1 +182726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.289477424,1 +182727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.30216291,1 +182728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.533384103,1 +182730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.96686216,1 +182729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.370367241,1 +182731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.637586302,1 +182733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.452119267,1 +182734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.402888417,1 +182735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.841063381,1 +182732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.900175322,1 +182737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.122055015,1 +182736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.646375549,1 +182738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.383983186,1 +182740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.158139242,1 +182741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.35849248,1 +182742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.552499364,1 +182739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.248378374,1 +182743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.289749167,1 +182745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.305016887,1 +182744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.305184155,1 +182747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.296492731,1 +182748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.400270578,1 +182746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.957396309,1 +182749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.015623003,1 +182750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.898468517,1 +182751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.23506299,1 +182753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.160135138,1 +182752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.201714456,1 +182754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.544249257,1 +182755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.137470768,1 +182756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.868790036,1 +182758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.210907109,1 +182759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.146655445,1 +182757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.898484051,1 +182760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.339840739,1 +182761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.335975303,1 +182762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.723715125,1 +182763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.422342642,1 +182764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.937978617,1 +182765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.05473246,1 +182767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,8.22920561,1 +182768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.290790866,1 +182766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.04044925,1 +182769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,8.721855033,1 +182770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.921523751,1 +182771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.919049793,1 +182772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.946608966,1 +182774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.34015943,1 +182773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.699465467,1 +182775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.400729851,1 +182778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.919593429,1 +182777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.610983901,1 +182776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.179962786,1 +182779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.369049196,1 +182780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.734623958,1 +182781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.80021659,1 +182782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.532238446,1 +182783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.387583641,1 +182784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.012821875,1 +182785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.115163448,1 +182786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.721211892,1 +182787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.462357835,1 +182788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.851537357,1 +182789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.25355763,1 +182791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.191445579,1 +182790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.381199247,1 +182792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.89514468,1 +182793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.738057572,1 +182794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.194221298,1 +182796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.524555936,1 +182795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.480837224,1 +182797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.743422004,1 +182798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,10.93087441,1 +182799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.079074173,1 +182800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.518152889,1 +182801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.240792424,1 +182802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.720889822,1 +182803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.94271498,1 +182804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.135268067,1 +182805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.722404524,1 +182806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.638934598,1 +182807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.122581527,1 +182809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.402831446,1 +182808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,0.637224483,1 +182810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.068754734,1 +182811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.426163142,1 +182812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.891545681,1 +182813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.292202362,1 +182814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.824939638,1 +182815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.975937802,1 +182816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.413384348,1 +182818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.736334264,1 +182817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.602115249,1 +182819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.92426253,1 +182820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.545694241,1 +182821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.830942167,1 +182822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.472370506,1 +182823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.108524305,1 +182824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.13507675,1 +182825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.80224198,1 +182827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.782140911,1 +182828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.005695292,1 +182829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.34983472,1 +182831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.420647511,1 +182826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.129974825,1 +182830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.612087949,1 +182832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.194090275,1 +182835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.419105109,1 +182833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.814340015,1 +182836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.774557595,1 +182834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.451069586,1 +182838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.19543473,1 +182837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.928629176,1 +182839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.748988979,1 +182842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.927326089,1 +182841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.930625559,1 +182840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,8.664626187,1 +182843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.433003922,1 +182844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.380050734,1 +182845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.879981124,1 +182846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.765875375,1 +182847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.155444564,1 +182848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.152252721,1 +182849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.849573404,1 +182851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.86296251,1 +182852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.275266176,1 +182853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.880992557,1 +182854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.198191036,1 +182855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.172258583,1 +182850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.838094094,1 +182856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.474159428,1 +182859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.036882709,1 +182857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.003940229,1 +182858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.23272996,1 +182860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.116755053,1 +182861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.741067504,1 +182862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.896137415,1 +182863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.183670668,1 +182864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.476420946,1 +182865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.715952123,1 +182866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.652727107,1 +182867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.336242823,1 +182868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.854888854,1 +182870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.446903676,1 +182871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.160357516,1 +182869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.660873334,1 +182872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.784915679,1 +182873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.944294527,1 +182874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.833957841,1 +182876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.562694238,1 +182875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.197707122,1 +182877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.918490259,1 +182878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.435568509,1 +182879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.642994496,1 +182880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.151847367,1 +182881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.50712281,1 +182882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.491356634,1 +182885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.537064255,1 +182884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.478308118,1 +182883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,8.703189308,1 +182886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.048685512,1 +182887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.026128885,1 +182889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.850361805,1 +182888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.488360252,1 +182890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.830161111,1 +182891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.596703958,1 +182892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.076728555,1 +182893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.227023972,1 +182895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.056626694,1 +182894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.422026753,1 +182897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.356927676,1 +182898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.979536258,1 +182899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.508914482,1 +182896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.004156647,1 +182900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.623405309,1 +182902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.107910928,1 +182901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.134692451,1 +182903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,1.607089409,1 +182904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.466134252,1 +182905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.075548681,1 +182906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.137150649,1 +182908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.965619554,1 +182909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.74079467,1 +182910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.058573331,1 +182911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.806483329,1 +182912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.103826014,1 +182913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.798838961,1 +182907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.670051099,1 +182914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.852016278,1 +182915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.880959505,1 +182916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.04501976,1 +182917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.209806538,1 +182918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.921480289,1 +182920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.566580894,1 +182919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.139145705,1 +182921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,1.766558625,1 +182922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.88478547,1 +182923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.812708297,1 +182924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.091016017,1 +182926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.645243501,1 +182927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.521927662,1 +182928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.626230701,1 +182929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.935083267,1 +182930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.918739687,1 +182931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.536985238,1 +182925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.572150569,1 +182935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.305885985,1 +182934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.825645059,1 +182932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.444495535,1 +182933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.040449609,1 +182936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.626866912,1 +182937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.792065622,1 +182939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.22006084,1 +182938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.482505911,1 +182941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.31459511,1 +182940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.446303935,1 +182942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.985718426,1 +182943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.671169879,1 +182944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.686297891,1 +182946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.887208295,1 +182947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.698164026,1 +182948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.221009468,1 +182945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.856709092,1 +182950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.317026388,1 +182949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.053821933,1 +182951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.810760207,1 +182953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.287942215,1 +182952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.503593709,1 +182955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.228493618,1 +182954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.075344847,1 +182956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.476367623,1 +182958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.048602465,1 +182959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.520777921,1 +182957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.811472541,1 +182960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.772790447,1 +182962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.622903088,1 +182961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.49835977,1 +182963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.001098103,1 +182965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.489372993,1 +182964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,1.780677203,1 +182966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.478433316,1 +182967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,1.67335033,1 +182968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.876175666,1 +182969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.019264146,1 +182970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.569852844,1 +182972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.691913469,1 +182973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.325059559,1 +182971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.316410966,1 +182974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.458246646,1 +182975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.270196542,1 +182976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.425499112,1 +182978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.446219616,1 +182977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.969145949,1 +182979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.667497702,1 +182980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,7.601655479,1 +182982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.092659561,1 +182981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.863673889,1 +182983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.318448633,1 +182985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.746953782,1 +182984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.809780433,1 +182986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.397136102,1 +182987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.655043192,1 +182990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,6.631979704,1 +182989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.363340154,1 +182988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.595443359,1 +182991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.424467101,1 +182992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.098737296,1 +182993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.063402962,1 +182994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,2.921005592,1 +182995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.123804241,1 +182996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,3.383511124,1 +182997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,5.193569159,1 +182999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.490360649,1 +183000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.011485015,1 +182998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,3,1,4.716712004,1 +192001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.747470394,1 +192002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.380219444,1 +192003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.494816245,1 +192004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.083744618,1 +192005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.669538937,1 +192007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.931667303,1 +192006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.775106788,1 +192008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.632418385,1 +192009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.777959259,1 +192010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.045223791,1 +192013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.621998821,1 +192012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.761529447,1 +192011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.279604095,1 +192014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.1765658,1 +192016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.687530545,1 +192015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.348594936,1 +192017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.405092013,1 +192018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.33733,1 +192021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.883487219,1 +192020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.121993678,1 +192019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.091795022,1 +192022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.979338768,1 +192023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.605141232,1 +192024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.454327566,1 +192026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.756728112,1 +192025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.781711331,1 +192028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.917846657,1 +192030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.574247918,1 +192027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.858697232,1 +192029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.140974773,1 +192031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.164981612,1 +192033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.787519912,1 +192034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.298544617,1 +192035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.765959852,1 +192036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.363243297,1 +192037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.739681973,1 +192032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.268111272,1 +192038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.37554411,1 +192039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.122871469,1 +192040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.661920971,1 +192042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.875142184,1 +192041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.028309042,1 +192044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.283520568,1 +192043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,8.004876257,1 +192046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.28077752,1 +192045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.020065095,1 +192047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.231361505,1 +192048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.128553678,1 +192050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.149953287,1 +192051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.168788465,1 +192052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.441923709,1 +192053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.50904624,1 +192054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.230311073,1 +192049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.434051665,1 +192055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.785731913,1 +192056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.286858234,1 +192057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.470906737,1 +192059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.822932441,1 +192058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.888676644,1 +192061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.362552859,1 +192060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,9.139142792,1 +192062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.288613385,1 +192063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.886154828,1 +192064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.896657025,1 +192065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.493283288,1 +192066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.313565876,1 +192067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.457651334,1 +192068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.032549818,1 +192069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.204790614,1 +192071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.354381506,1 +192073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.656972709,1 +192072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.348253108,1 +192075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.207394962,1 +192070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.403228384,1 +192076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.9509137,1 +192074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.353828978,1 +192078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.368414695,1 +192077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.24284048,1 +192079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,8.070461817,1 +192080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.729235875,1 +192082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.23125754,1 +192083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.404903784,1 +192084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.08025588,1 +192081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.088504592,1 +192086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.373663302,1 +192085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.745863969,1 +192087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.911426752,1 +192088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.398380164,1 +192090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.194240147,1 +192091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.814003763,1 +192089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.195703874,1 +192092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.327120758,1 +192093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.845099639,1 +192094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.855450737,1 +192095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.653314085,1 +192097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.729273844,1 +192096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.282701959,1 +192098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.577918759,1 +192099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.954366736,1 +192101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.441815743,1 +192100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.753522755,1 +192102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.377875466,1 +192103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.545553932,1 +192105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.835558946,1 +192104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.345319765,1 +192106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.702798378,1 +192108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.051268487,1 +192107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.188722,1 +192109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.725557229,1 +192110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.000780188,1 +192112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.469254264,1 +192111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.416421463,1 +192114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.569991001,1 +192113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.366733759,1 +192115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,1.579437279,1 +192117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.233029865,1 +192116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.826086482,1 +192119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.818458541,1 +192118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.072662528,1 +192121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.981979847,1 +192120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.441247836,1 +192123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.311055616,1 +192122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.444528557,1 +192124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.251496998,1 +192125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.411259152,1 +192127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.214967422,1 +192126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.313005062,1 +192129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.243477848,1 +192130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.376952132,1 +192131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.548076722,1 +192133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.594766999,1 +192132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.651584495,1 +192128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.820379391,1 +192134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.762906039,1 +192136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.726442488,1 +192135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.194641423,1 +192137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.691747458,1 +192139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.985637684,1 +192138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.750088584,1 +192140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.250813333,1 +192141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.633289921,1 +192142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.935257564,1 +192143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.376599352,1 +192144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.240039273,1 +192145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.134771732,1 +192146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.188804565,1 +192148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.486560999,1 +192147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.753540794,1 +192150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.827884202,1 +192151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.638212668,1 +192152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.657449549,1 +192149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.995112566,1 +192154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.974530753,1 +192155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.134438992,1 +192156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.350518668,1 +192153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,9.120376646,1 +192157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.75033936,1 +192159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.3628109,1 +192158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.931347045,1 +192160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.199076821,1 +192161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,9.051144824,1 +192162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.279661367,1 +192163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.745674386,1 +192164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.478249939,1 +192165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.820020254,1 +192167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.505694022,1 +192168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.21766102,1 +192166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.728069384,1 +192171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.946525069,1 +192169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.320639366,1 +192172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.653750369,1 +192170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.565403915,1 +192174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.650271588,1 +192173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.460715906,1 +192175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.695207927,1 +192176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.251932339,1 +192178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.342163746,1 +192177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.550517907,1 +192179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.797148319,1 +192180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,9.263169892,1 +192182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.011425662,1 +192181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.98184167,1 +192183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.695921182,1 +192186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.255252871,1 +192185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.766423626,1 +192184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.973252427,1 +192187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.349504836,1 +192188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.062201413,1 +192189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.698818191,1 +192192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,0.655286267,1 +192191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.641147207,1 +192190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.065648244,1 +192193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.481024818,1 +192195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.443300048,1 +192194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.434859808,1 +192197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.970706131,1 +192198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.823863192,1 +192196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,1.425335408,1 +192199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.510497936,1 +192200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.096621342,1 +192201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.489814264,1 +192203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.30985558,1 +192202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.574876095,1 +192204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.033965031,1 +192205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.912556709,1 +192206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.826935433,1 +192208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.449522919,1 +192209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.653447665,1 +192210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.432531495,1 +192207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.705979208,1 +192211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.463449338,1 +192212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.163178397,1 +192215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.468904485,1 +192213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.618625275,1 +192216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.971554808,1 +192214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.660524073,1 +192217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.920008622,1 +192218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.477877096,1 +192219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.953820767,1 +192220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.598204501,1 +192221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,8.680794616,1 +192222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.46771607,1 +192223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.286138474,1 +192225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.207718796,1 +192226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.494213675,1 +192227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.441511533,1 +192224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.959769759,1 +192229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.669240848,1 +192228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.173270606,1 +192230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.608814556,1 +192231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.102571269,1 +192232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.166615145,1 +192233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.545925856,1 +192235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.012339027,1 +192234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.448907854,1 +192236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.852358869,1 +192237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.264186792,1 +192239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.381412267,1 +192238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.608851605,1 +192240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.40295526,1 +192242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.26691094,1 +192241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.332024882,1 +192244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.085225666,1 +192246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.183839746,1 +192245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.093875436,1 +192243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.551968287,1 +192247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.033945202,1 +192249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.857010163,1 +192248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.980166797,1 +192250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.348018508,1 +192251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.504499381,1 +192252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.5911527,1 +192253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.620394966,1 +192254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.9302268,1 +192255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.140952225,1 +192256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,9.157781477,1 +192257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.452172416,1 +192258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.069531229,1 +192259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.014344025,1 +192260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.007032188,1 +192261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,1.629148233,1 +192262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.034866275,1 +192263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.459927951,1 +192264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.365076532,1 +192265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.302501794,1 +192266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.163821433,1 +192267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.264249409,1 +192268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.54089458,1 +192269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.716224603,1 +192270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.650710687,1 +192271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.82859085,1 +192272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.057258195,1 +192273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.156571284,1 +192275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.683939192,1 +192276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.912471559,1 +192274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.239149946,1 +192277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.823425297,1 +192279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.442559643,1 +192280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.805976312,1 +192278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.086043888,1 +192282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.776462975,1 +192281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.091221162,1 +192283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.357227731,1 +192284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.649388079,1 +192285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.940524616,1 +192287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.534622567,1 +192288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.883233386,1 +192286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.49427741,1 +192289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.251664952,1 +192290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.171430035,1 +192291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.059187778,1 +192292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.614999837,1 +192293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.693936974,1 +192295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.547575044,1 +192294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.369819805,1 +192297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.035148059,1 +192298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.64224678,1 +192296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.988434364,1 +192299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.747564004,1 +192300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.357986087,1 +192301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.112092555,1 +192303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.111799459,1 +192304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.860211821,1 +192305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.685502647,1 +192302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,1.616546047,1 +192308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.652052092,1 +192309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.085800228,1 +192307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.374005422,1 +192306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.409297572,1 +192310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.80650505,1 +192311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.553532901,1 +192312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.6106109,1 +192313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,9.522538172,1 +192316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.460247597,1 +192315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.755816983,1 +192314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.280303855,1 +192317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.430161584,1 +192318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.105018476,1 +192320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.143602523,1 +192321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.790752712,1 +192322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.682128253,1 +192319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.361702542,1 +192323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.268387594,1 +192324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.775095293,1 +192326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,9.691968313,1 +192325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.571232298,1 +192327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.86180616,1 +192328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.989058278,1 +192329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.063190045,1 +192330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.723325095,1 +192331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.351226643,1 +192332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.652782098,1 +192333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.239874657,1 +192334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.300674497,1 +192335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,8.265281609,1 +192336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.107015921,1 +192337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.964083583,1 +192339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.960773932,1 +192338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.332065359,1 +192340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.409796843,1 +192341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.030359667,1 +192343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.297685631,1 +192344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.447709204,1 +192345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.453925889,1 +192342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.657909199,1 +192346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.322368691,1 +192347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.497537594,1 +192348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.01620047,1 +192349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.421527921,1 +192350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.15673194,1 +192351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.579794918,1 +192354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.555293682,1 +192352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.406099719,1 +192353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.992891903,1 +192357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.472193856,1 +192355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.949055264,1 +192358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.948619525,1 +192359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.310874629,1 +192356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.144872998,1 +192361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.750950141,1 +192360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.18381918,1 +192362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.091448429,1 +192364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.936258972,1 +192365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.362421156,1 +192363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.385814924,1 +192367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.946240436,1 +192366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.3410227,1 +192369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.761655841,1 +192370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.008344327,1 +192371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.230548834,1 +192372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.95736539,1 +192368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.768538175,1 +192374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.697665929,1 +192373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.16902707,1 +192376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.256965317,1 +192377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.042965949,1 +192378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.818872056,1 +192379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.684312432,1 +192375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.793231322,1 +192380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.565479865,1 +192381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.468834916,1 +192383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.775884663,1 +192382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.391801427,1 +192385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.197396653,1 +192386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.699678775,1 +192387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.889061566,1 +192384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.394306758,1 +192389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.261969162,1 +192391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.51308021,1 +192388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.651132546,1 +192392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.440632049,1 +192393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.601672509,1 +192390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.051085825,1 +192394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.085335018,1 +192396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.183978261,1 +192397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.561572821,1 +192398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.710302445,1 +192395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.087173472,1 +192400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.816893817,1 +192401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.343413995,1 +192399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.910728192,1 +192402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.45810356,1 +192404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.658437097,1 +192403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.517616862,1 +192405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.561720256,1 +192406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.239133358,1 +192409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.616765551,1 +192410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,1.572771208,1 +192407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.428591915,1 +192408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.7183884,1 +192411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.883630566,1 +192413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.45665802,1 +192414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.147577905,1 +192412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.575311424,1 +192415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.321205198,1 +192416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.620019221,1 +192417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.230661655,1 +192418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.273007502,1 +192419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.160563138,1 +192422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.019504683,1 +192420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.682998691,1 +192421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,1.336696805,1 +192423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.958586587,1 +192424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.591140073,1 +192427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.206377493,1 +192425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.897069155,1 +192426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.936658546,1 +192428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.125484484,1 +192430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.46698594,1 +192429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.405227126,1 +192432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.406013665,1 +192431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.34068795,1 +192433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.554609234,1 +192434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.953384669,1 +192435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.464750544,1 +192436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.945878176,1 +192437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.214284221,1 +192439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.53112044,1 +192438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.708314846,1 +192442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.257794299,1 +192443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,8.55769369,1 +192441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.469068138,1 +192440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.770242158,1 +192446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.926217353,1 +192445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.763598129,1 +192444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.233893379,1 +192447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.893699415,1 +192448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.296376138,1 +192449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.661471836,1 +192450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.767956217,1 +192451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.240367785,1 +192452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.441718341,1 +192453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.730576173,1 +192454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,9.697010231,1 +192455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.242146892,1 +192457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.498304758,1 +192458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.451936501,1 +192456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,1.963312637,1 +192460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.486994893,1 +192461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.500122299,1 +192462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.973329632,1 +192459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.111820746,1 +192463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.44198668,1 +192464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.370576668,1 +192465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.733174805,1 +192466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.513930059,1 +192468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.589829545,1 +192467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.651902288,1 +192469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.41337775,1 +192470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.825403795,1 +192471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.721565702,1 +192472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.73416022,1 +192473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.183277554,1 +192474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.904887495,1 +192476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.581131837,1 +192475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.042267833,1 +192477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.364633356,1 +192480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.059555583,1 +192478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.378347365,1 +192479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.972995869,1 +192482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.833758714,1 +192481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.215883522,1 +192484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.24922184,1 +192483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.051021517,1 +192485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,8.089323573,1 +192486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.651774431,1 +192487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.117324531,1 +192488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.178811183,1 +192489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.584834976,1 +192490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.462610015,1 +192491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.625695819,1 +192494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.59048449,1 +192493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.510815257,1 +192495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.20498384,1 +192492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.280594052,1 +192496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.882780584,1 +192497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.040678612,1 +192498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,9.465913432,1 +192500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.539609675,1 +192501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.091543902,1 +192502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.174392969,1 +192499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.098296555,1 +192504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.66180792,1 +192503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.142030478,1 +192505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.772446217,1 +192506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.543009866,1 +192507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.938481239,1 +192508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.846253871,1 +192510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.260905736,1 +192509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.642675256,1 +192511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.320218439,1 +192512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.627513811,1 +192514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.002444796,1 +192515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,8.25619942,1 +192516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.888604105,1 +192517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.76493265,1 +192518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.522270484,1 +192519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.67096182,1 +192513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.001259225,1 +192520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.45693803,1 +192521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.522066665,1 +192522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.62352228,1 +192523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.950267012,1 +192524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.42931548,1 +192525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.802872937,1 +192526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.94351048,1 +192527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.395168747,1 +192528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.658820421,1 +192529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.229499464,1 +192530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.247452781,1 +192531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.530631265,1 +192533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.087143574,1 +192532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.262292483,1 +192534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.546717533,1 +192535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.038670486,1 +192536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.684069999,1 +192537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.346828645,1 +192538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.408584475,1 +192539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.433413183,1 +192540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.893393927,1 +192541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.647838044,1 +192542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.852249427,1 +192543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.162891932,1 +192544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.784380848,1 +192545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.796024316,1 +192546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.24734569,1 +192548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.864293294,1 +192547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.587392448,1 +192549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.9835558,1 +192551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.038366058,1 +192550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.051069512,1 +192552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.880232169,1 +192553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.976216161,1 +192554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.986560408,1 +192556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.415102445,1 +192555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.256308317,1 +192557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.079736494,1 +192558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.550949203,1 +192559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.861386642,1 +192560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.703908227,1 +192561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.506167852,1 +192562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.110490569,1 +192563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.492245342,1 +192564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.021268846,1 +192565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.828187602,1 +192566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.403713511,1 +192567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.600470707,1 +192568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.747969553,1 +192570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.142748393,1 +192571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.77897011,1 +192572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.559840035,1 +192573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.368794296,1 +192574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.195408629,1 +192569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.292052407,1 +192576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,8.064975421,1 +192577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.499251593,1 +192575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.280442263,1 +192579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.022435075,1 +192578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.258132757,1 +192580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.281059093,1 +192581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.024311277,1 +192583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.364741834,1 +192582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.752191596,1 +192584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.701514551,1 +192585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.648864024,1 +192587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.322955432,1 +192586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.857320403,1 +192588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.439631174,1 +192589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,8.575417035,1 +192590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.23822693,1 +192592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.052155337,1 +192593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.028714354,1 +192594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.344528758,1 +192591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.885865553,1 +192595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.167504901,1 +192596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.171577395,1 +192597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.792682724,1 +192598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.595067014,1 +192599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.736991091,1 +192600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.803569231,1 +192601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.830520107,1 +192602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.347799419,1 +192603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.254220174,1 +192604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.27100722,1 +192606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.706884224,1 +192605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.72054141,1 +192607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,8.466792099,1 +192608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.949820906,1 +192610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.783673088,1 +192611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.223150646,1 +192612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.895043225,1 +192609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.62813979,1 +192613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.027144972,1 +192614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.626482128,1 +192616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.588315231,1 +192615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.601989129,1 +192617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.953556356,1 +192618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.620185592,1 +192619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.112358097,1 +192621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.850301033,1 +192620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.131280545,1 +192622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.610105869,1 +192623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.04720629,1 +192624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.894925545,1 +192625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.974877989,1 +192626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.720263091,1 +192627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.436206988,1 +192628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.918500936,1 +192629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.123709949,1 +192630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.259464277,1 +192632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,8.81101669,1 +192631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.716301085,1 +192634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.012183036,1 +192635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.265491345,1 +192636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.076762566,1 +192637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.120613845,1 +192638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.246627519,1 +192639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.67065439,1 +192633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.405694326,1 +192640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.29436511,1 +192641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,8.632303452,1 +192642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.400001706,1 +192644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.084599341,1 +192643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.699639375,1 +192646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.247388086,1 +192645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,1.280594052,1 +192647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.783088012,1 +192648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.171621377,1 +192649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.380866761,1 +192650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.871529429,1 +192651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.051637354,1 +192653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.704461816,1 +192654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.149674553,1 +192655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.797612216,1 +192652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.929007584,1 +192657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.047290751,1 +192656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.941164716,1 +192659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.360413954,1 +192658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.28936478,1 +192660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.676602125,1 +192661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.080856698,1 +192662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.403479463,1 +192663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.4208579,1 +192664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.951356077,1 +192665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.786563421,1 +192666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.887399303,1 +192667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,8.282557152,1 +192668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,9.349468609,1 +192669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.383149328,1 +192671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.46313161,1 +192673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.475577197,1 +192672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.204472714,1 +192670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.639036585,1 +192674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.408934213,1 +192676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.457829247,1 +192675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.508254327,1 +192677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.210830571,1 +192678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.670871567,1 +192679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.069493073,1 +192680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.498731488,1 +192681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.861920569,1 +192682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.509698876,1 +192683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,1.763116471,1 +192684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.203933684,1 +192685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.853882397,1 +192686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.351542498,1 +192687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.361011943,1 +192688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.419683831,1 +192690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.957132723,1 +192691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,8.353355491,1 +192689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.757905759,1 +192693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.900458437,1 +192694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.48540121,1 +192692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.308739154,1 +192695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.199416027,1 +192696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.093892949,1 +192697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.594387593,1 +192699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.769954649,1 +192700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.72452126,1 +192701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.42371627,1 +192698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.039274608,1 +192702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.249238466,1 +192703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.961078319,1 +192704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.414123966,1 +192705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.018530201,1 +192707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.532563448,1 +192708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.288394582,1 +192706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.451275295,1 +192709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.50685156,1 +192710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.700277969,1 +192712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.741712602,1 +192711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.851949115,1 +192714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.118777439,1 +192716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.820124457,1 +192715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.471391991,1 +192713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.401715414,1 +192717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.885869089,1 +192718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.869483023,1 +192719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.967696233,1 +192720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.101347754,1 +192721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.063989138,1 +192724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.325381534,1 +192722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.471395767,1 +192723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.583800284,1 +192725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.913442562,1 +192726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.145338219,1 +192727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.668883642,1 +192728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.780523901,1 +192729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.314751575,1 +192730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.948239053,1 +192731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.727259028,1 +192732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.541574373,1 +192733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.2311771,1 +192735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.957185158,1 +192734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.068527555,1 +192737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.715863815,1 +192738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.322833849,1 +192739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.840847751,1 +192740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.298633555,1 +192741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,1.960196374,1 +192736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.746089519,1 +192742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.902580904,1 +192743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.069220379,1 +192744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,1.741196206,1 +192747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.123698137,1 +192745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.673272369,1 +192746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.445966722,1 +192748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.18550817,1 +192749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.641286182,1 +192750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.979393628,1 +192751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,1.872666706,1 +192752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.2636111,1 +192753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.138331786,1 +192754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.835418436,1 +192755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.034354385,1 +192756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.272280009,1 +192757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,8.031241782,1 +192759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.32342896,1 +192760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.760207321,1 +192761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.055611151,1 +192762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.809256099,1 +192758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.407619187,1 +192763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.567980539,1 +192764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.920083208,1 +192765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.702512803,1 +192768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.546689171,1 +192766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.861657731,1 +192767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.476285343,1 +192769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.948628067,1 +192770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.064481392,1 +192771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,1.168557899,1 +192772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.191655473,1 +192773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.605707661,1 +192774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.454917264,1 +192776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.932335556,1 +192775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.238240821,1 +192777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.338103815,1 +192778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.299552677,1 +192779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.158358636,1 +192783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.237041455,1 +192780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.629003691,1 +192781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.624667501,1 +192782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.316465068,1 +192785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.903503796,1 +192784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.149372532,1 +192786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.844303726,1 +192787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.355191373,1 +192788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.965284355,1 +192789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.62823067,1 +192791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.465721566,1 +192790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.171086214,1 +192793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.669348869,1 +192792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.724666129,1 +192794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.290677828,1 +192795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.863109478,1 +192796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.385193503,1 +192798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.022422267,1 +192799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.755416003,1 +192797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.107313178,1 +192801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.749241293,1 +192802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.080551718,1 +192803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.166522548,1 +192804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.206325867,1 +192805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.385320613,1 +192800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.323083781,1 +192807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.760462305,1 +192806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.992242849,1 +192808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.516698025,1 +192810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.191285664,1 +192809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.114135275,1 +192811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.510207848,1 +192812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.556404598,1 +192813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.261028734,1 +192814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.371134272,1 +192815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.19673745,1 +192816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.608118761,1 +192818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.495302758,1 +192817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.280536766,1 +192820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.088499087,1 +192819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.731945595,1 +192821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.319428787,1 +192823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.09420279,1 +192825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.89076151,1 +192824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.609007727,1 +192822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.614921012,1 +192826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.143010259,1 +192828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.006870189,1 +192827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.354862274,1 +192829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.201068368,1 +192831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.186069349,1 +192832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.010065386,1 +192830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.663601374,1 +192833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.561718921,1 +192834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.983414786,1 +192835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.440105111,1 +192836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.210214054,1 +192837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.152271957,1 +192838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.982274618,1 +192839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.196930952,1 +192840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.89768966,1 +192842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.912308898,1 +192843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.435505061,1 +192841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.410356829,1 +192844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.605632308,1 +192846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.361852779,1 +192845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.661677607,1 +192847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.691909098,1 +192850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.421969298,1 +192849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.209992705,1 +192848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.818900346,1 +192851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.384849959,1 +192852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.471411139,1 +192853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.956959765,1 +192855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.414996725,1 +192854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.640317556,1 +192856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.452808719,1 +192857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.009159078,1 +192859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.809288364,1 +192858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.453033101,1 +192860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.430623517,1 +192861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.524901825,1 +192863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.570115157,1 +192864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.95306218,1 +192865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.379551357,1 +192866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.446317189,1 +192862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.455557627,1 +192867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.763487045,1 +192868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.396734838,1 +192869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.758952571,1 +192871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.299839783,1 +192872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.639718856,1 +192870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.70273387,1 +192873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.297025778,1 +192875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.045557064,1 +192876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.83415391,1 +192874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.838692692,1 +192877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.265970125,1 +192878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.639736614,1 +192880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.093392713,1 +192881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.397142713,1 +192879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.896411317,1 +192882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.127416701,1 +192883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.979703523,1 +192884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.067701975,1 +192886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.066585151,1 +192887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,0.909389625,1 +192888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.311237003,1 +192885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.230391468,1 +192889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.540674485,1 +192892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.371818592,1 +192890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.007239915,1 +192891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.847724527,1 +192893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.647236764,1 +192896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.775804784,1 +192895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.040931359,1 +192894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.734768994,1 +192897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.251194882,1 +192898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.37934448,1 +192899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.661176988,1 +192900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.681290453,1 +192901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.116159879,1 +192902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.869993428,1 +192903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.516059153,1 +192905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.203066433,1 +192906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.5826792,1 +192904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.729732115,1 +192908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.002826275,1 +192909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.358831981,1 +192910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.329929793,1 +192911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.07250872,1 +192907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.060074551,1 +192912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.483408983,1 +192913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.600460479,1 +192914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.496850071,1 +192916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.116912194,1 +192915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.73141654,1 +192917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.395880883,1 +192918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.372444661,1 +192919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.075401985,1 +192920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.288522684,1 +192921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.687241246,1 +192922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.851979617,1 +192924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.734154336,1 +192923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.768707989,1 +192926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.000018157,1 +192925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.566872947,1 +192928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.387964136,1 +192929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.497751867,1 +192927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.207296585,1 +192930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.854293701,1 +192931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.363157709,1 +192932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.614626675,1 +192935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.6740196,1 +192933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.079281261,1 +192934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.191835043,1 +192936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.445577628,1 +192938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,8.05757327,1 +192937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.160236292,1 +192939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.655949004,1 +192940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.653150188,1 +192941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.857699013,1 +192942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.177953299,1 +192944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.695412355,1 +192943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.862984493,1 +192946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.045128922,1 +192947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.341976486,1 +192945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.673543622,1 +192948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.567509164,1 +192949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.731312849,1 +192951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.684252335,1 +192950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.165630629,1 +192952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.095329285,1 +192953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.401082145,1 +192954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,8.838913511,1 +192955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.528292874,1 +192957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.604265808,1 +192956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.286872269,1 +192958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.614903895,1 +192959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.956295206,1 +192960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.954046191,1 +192961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.595957041,1 +192962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.582258272,1 +192963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.900584247,1 +192964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.859516298,1 +192965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.976004843,1 +192967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.274875922,1 +192968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.958422977,1 +192966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.444115736,1 +192970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.051503705,1 +192971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,7.794058544,1 +192972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.322087624,1 +192973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.079453507,1 +192974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.367504859,1 +192975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,8.337029667,1 +192969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.574234156,1 +192976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.13037173,1 +192978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.56099844,1 +192977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.165868677,1 +192980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.115806359,1 +192979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.806369905,1 +192981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.756445379,1 +192982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.05328736,1 +192984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.899005838,1 +192983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.859993302,1 +192985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.012923298,1 +192986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,6.104426641,1 +192988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.118156919,1 +192989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,5.13148721,1 +192990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.666792222,1 +192991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.685850948,1 +192987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,8.192856957,1 +192992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.016672409,1 +192994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.175077802,1 +192993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.28308313,1 +192995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.820065566,1 +192996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.017192309,1 +192997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,4.17056092,1 +192998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,1.599707598,1 +192999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,2.752838989,1 +193000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,3,1,3.707699585,1 +202001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.962795976,1 +202002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.345008977,1 +202003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.677016845,1 +202004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.088408805,1 +202005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.290476399,1 +202006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.086043858,1 +202008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.645211727,1 +202010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.1565752,1 +202009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.311239136,1 +202007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.314318868,1 +202014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.598400362,1 +202013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.143571326,1 +202012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.758012254,1 +202015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.031276223,1 +202017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.186284622,1 +202016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.838348427,1 +202011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.162609462,1 +202018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.65883991,1 +202020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.949087039,1 +202019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,8.623660311,1 +202022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.277256728,1 +202021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.697506883,1 +202023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.937627437,1 +202024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.038189254,1 +202025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.844973933,1 +202026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.493469118,1 +202028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.018097726,1 +202029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.378534804,1 +202030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.709958321,1 +202027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.948970839,1 +202031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.030962003,1 +202032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.768192413,1 +202033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.75226263,1 +202035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.119247052,1 +202036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.44554324,1 +202037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.543713185,1 +202034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.244626986,1 +202038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.243055644,1 +202041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.923352075,1 +202039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.593873077,1 +202042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.866389155,1 +202040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.528012379,1 +202044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.770816212,1 +202045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.418018085,1 +202043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.915031244,1 +202046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.329665625,1 +202047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.922502572,1 +202048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.720033732,1 +202049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.676601686,1 +202050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.50118369,1 +202051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.104614155,1 +202052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.840891214,1 +202054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.990644553,1 +202053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,9.575355843,1 +202056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.259058466,1 +202055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.550956361,1 +202059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.867766249,1 +202060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.43236334,1 +202058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.066381725,1 +202057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.66183368,1 +202061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.701763067,1 +202062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.704248665,1 +202063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,0.971590313,1 +202065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.912549692,1 +202066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.203762718,1 +202064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.895288243,1 +202067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.708369884,1 +202069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.760073893,1 +202070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.505568908,1 +202068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.286658203,1 +202071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.204169568,1 +202072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.301108839,1 +202073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.085548262,1 +202074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.582707269,1 +202075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.982832839,1 +202076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.191276839,1 +202078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.070876064,1 +202079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.196574563,1 +202080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.299956142,1 +202081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.09723877,1 +202082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,8.927746273,1 +202077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.021120431,1 +202084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.562430342,1 +202083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.212800958,1 +202086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.263889671,1 +202087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.371166525,1 +202088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.754615499,1 +202085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.41798502,1 +202089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.407929711,1 +202091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.034448305,1 +202090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.594846065,1 +202093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.941789215,1 +202092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.206801045,1 +202095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.24137323,1 +202094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.686638798,1 +202097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.393498395,1 +202098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.288460819,1 +202096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.170248056,1 +202099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.059175073,1 +202102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.227590642,1 +202100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,8.49288976,1 +202101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.474634359,1 +202103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.312272991,1 +202104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.265784787,1 +202106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.638772154,1 +202105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.203884137,1 +202107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.857726717,1 +202108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.171197908,1 +202109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.989340856,1 +202111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.541276875,1 +202110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.197710462,1 +202113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.480155252,1 +202115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.30529766,1 +202112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.069773028,1 +202114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.715980237,1 +202118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.519476964,1 +202116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.03394505,1 +202119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.455722086,1 +202120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.530093959,1 +202121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.656234704,1 +202117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.7290246,1 +202122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.117350927,1 +202123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.641100717,1 +202124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.699422759,1 +202126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,1.957736524,1 +202125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.752291122,1 +202128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.485623896,1 +202129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.053721399,1 +202127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.824107593,1 +202130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.346887012,1 +202131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.225287182,1 +202133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,9.404741051,1 +202134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.891820927,1 +202132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.852536725,1 +202135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.197724173,1 +202136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.93711001,1 +202138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.389683493,1 +202139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.076882783,1 +202140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,1.988348352,1 +202141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.308540905,1 +202142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.388432094,1 +202143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.501776186,1 +202137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.561604648,1 +202144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.84871106,1 +202145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.373835997,1 +202147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.605019143,1 +202146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.749430303,1 +202148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.274389151,1 +202149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.635823649,1 +202151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.96595268,1 +202150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.889267474,1 +202152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.623749274,1 +202153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.439811173,1 +202154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.32263624,1 +202155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.479113348,1 +202156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.307078838,1 +202157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.993562227,1 +202158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.800995131,1 +202160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.475261377,1 +202161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.318906037,1 +202159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.514884212,1 +202162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.767320803,1 +202164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.368719751,1 +202163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.14224586,1 +202165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.725985891,1 +202166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.41239968,1 +202167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.811111961,1 +202168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.841445507,1 +202169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.092391125,1 +202170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.280245554,1 +202171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.410457357,1 +202172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.422889299,1 +202175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.517361833,1 +202174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.504364075,1 +202176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.135854305,1 +202173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.607849265,1 +202177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.563969226,1 +202178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.294212272,1 +202179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.308690906,1 +202180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.081610411,1 +202181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.974702742,1 +202183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.15838677,1 +202182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.245466701,1 +202184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.574107646,1 +202185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.910469351,1 +202186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.684604673,1 +202187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.498167736,1 +202189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.453543235,1 +202188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.407579906,1 +202190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.267250786,1 +202191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.895499162,1 +202192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.860987398,1 +202194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.525203205,1 +202193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.555833014,1 +202196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.31974109,1 +202197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.851005953,1 +202198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.359909736,1 +202195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.099664687,1 +202199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.368099191,1 +202200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.900123319,1 +202201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.500029135,1 +202203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.454127385,1 +202204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.240390598,1 +202205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.679396306,1 +202202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.570717143,1 +202207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.144386124,1 +202206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.254692277,1 +202209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.298677432,1 +202208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.36689039,1 +202210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.871102969,1 +202211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.709722028,1 +202212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.39757604,1 +202213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,9.414120627,1 +202214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.09113287,1 +202215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.961608338,1 +202216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.011155532,1 +202218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.423249858,1 +202219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,1.589568118,1 +202217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.398276247,1 +202222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.012153986,1 +202223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.372328629,1 +202220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.170413441,1 +202221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.023430388,1 +202225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.421998782,1 +202226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.913664896,1 +202224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.99995343,1 +202227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.159022012,1 +202231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.87334027,1 +202229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.475128312,1 +202230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.352051993,1 +202228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.740748431,1 +202233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.360304401,1 +202232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.016430026,1 +202234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.099724288,1 +202235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,1.524971246,1 +202237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.01457157,1 +202238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.886097365,1 +202239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.909041762,1 +202236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.322435477,1 +202241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.075493866,1 +202240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.838296123,1 +202242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.729768137,1 +202243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.17377247,1 +202244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.046609815,1 +202245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.884648561,1 +202247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.239786019,1 +202246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.842428229,1 +202248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.830892799,1 +202250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.882626658,1 +202249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.844987651,1 +202251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.077789855,1 +202252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.668298389,1 +202254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.686910021,1 +202255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.280582372,1 +202253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.835824271,1 +202256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.171529387,1 +202257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.787849573,1 +202260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.993408631,1 +202259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.462317238,1 +202261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.811598795,1 +202258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,8.468556315,1 +202262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.520852827,1 +202263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.284474856,1 +202264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.864248392,1 +202266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.881771883,1 +202265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.371972679,1 +202267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.752185174,1 +202268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.072601611,1 +202269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.589778428,1 +202270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.610107544,1 +202272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.422712411,1 +202271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.117430903,1 +202273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.352571072,1 +202275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.251156303,1 +202274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.390952174,1 +202276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.367499168,1 +202277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.551541661,1 +202278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.689893363,1 +202280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.168169674,1 +202281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.538304569,1 +202282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.295901917,1 +202279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.109140304,1 +202283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.682815849,1 +202284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.580742904,1 +202287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.53007863,1 +202285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.146067911,1 +202286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.682067912,1 +202288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.915261938,1 +202289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.341397189,1 +202290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.464614943,1 +202291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.155480812,1 +202292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.72473407,1 +202294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.821772589,1 +202293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.362287811,1 +202295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.130343074,1 +202296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.144303993,1 +202297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.931344102,1 +202298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.197423237,1 +202300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.387880152,1 +202299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.011046353,1 +202302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.380472525,1 +202301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.015027587,1 +202303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.477347034,1 +202304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.651400452,1 +202306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.296578286,1 +202305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.721857239,1 +202307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,8.066371864,1 +202308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.181367811,1 +202309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.095643391,1 +202310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.569354311,1 +202311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.709033709,1 +202313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.049763159,1 +202314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.986233481,1 +202312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.324933509,1 +202315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.236039598,1 +202319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.121218224,1 +202317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.974760034,1 +202316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.681922163,1 +202318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.013439423,1 +202320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.947526935,1 +202321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.475661925,1 +202322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.735965514,1 +202323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.013392172,1 +202325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.035068833,1 +202324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.534432881,1 +202326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.997096676,1 +202329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,11.24446571,1 +202328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.635013637,1 +202327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.155732813,1 +202330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.713211534,1 +202334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,8.194499685,1 +202333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.354439245,1 +202331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.161156729,1 +202332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.15641729,1 +202335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.164270119,1 +202337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,8.2969418,1 +202338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.239944771,1 +202339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.842583859,1 +202336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.96990083,1 +202340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.602915185,1 +202341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.900665581,1 +202344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.996415796,1 +202342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.781141008,1 +202343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.216788173,1 +202345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.774592788,1 +202348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.531072489,1 +202347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.828806856,1 +202346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.446297824,1 +202349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.7900269,1 +202350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.679185652,1 +202351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.847131762,1 +202352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.057870208,1 +202353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.636837215,1 +202355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.742132692,1 +202356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.331595791,1 +202357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.249978324,1 +202358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.533934627,1 +202359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.296461761,1 +202360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.740024658,1 +202354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.68190991,1 +202361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.583285026,1 +202363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.472363829,1 +202362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.034191857,1 +202364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.032422575,1 +202367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.747400135,1 +202366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.788284456,1 +202365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.643607738,1 +202368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.939215756,1 +202369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.643935098,1 +202370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.038958183,1 +202371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.60485953,1 +202372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.964121505,1 +202374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.574934852,1 +202375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.468557808,1 +202376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.380853277,1 +202377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.928306028,1 +202373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.157256043,1 +202378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,1.48254895,1 +202379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.94775526,1 +202381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.323000045,1 +202382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.22158519,1 +202380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.948781505,1 +202383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.843330536,1 +202385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.662827195,1 +202384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.569365506,1 +202386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.013010286,1 +202387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.941344402,1 +202388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.314659119,1 +202390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.729904934,1 +202389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.892464445,1 +202391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.938997452,1 +202392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.521441625,1 +202393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.722945889,1 +202395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.334019684,1 +202396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.575451068,1 +202397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,8.282498743,1 +202394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.315319686,1 +202398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.131976558,1 +202399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,8.749218169,1 +202400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,8.200804701,1 +202401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.404408039,1 +202402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.546084807,1 +202403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.350433724,1 +202404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.541968822,1 +202405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.815594317,1 +202406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.730016732,1 +202407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.440940278,1 +202408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.606478123,1 +202410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,1.549105706,1 +202409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.137060646,1 +202412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.415965491,1 +202411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.510589191,1 +202413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.102221217,1 +202414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.189202936,1 +202416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,8.061106404,1 +202415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,9.506254738,1 +202417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.969446435,1 +202420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.144603896,1 +202418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.631469489,1 +202419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.671481039,1 +202421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.570337956,1 +202422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.254551335,1 +202423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.00377258,1 +202424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.23937683,1 +202425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.155141138,1 +202426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.762694595,1 +202429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.934301603,1 +202428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.067480514,1 +202430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.126252874,1 +202427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.347209987,1 +202431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.125728826,1 +202432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.888662437,1 +202433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.388200802,1 +202435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.463290202,1 +202436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.585360821,1 +202437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.004421661,1 +202434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.738860584,1 +202439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.634470209,1 +202438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.538059986,1 +202441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.208468225,1 +202440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.62658151,1 +202443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.091182384,1 +202444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.670985165,1 +202445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.133770265,1 +202446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.744628468,1 +202442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.631458593,1 +202448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.222881735,1 +202449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.02185082,1 +202450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.711354601,1 +202451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.833160365,1 +202452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.420407004,1 +202453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.179917596,1 +202454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,8.076757982,1 +202456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.999621724,1 +202447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.740973842,1 +202458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.396883869,1 +202457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.206567082,1 +202455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.001274993,1 +202459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.612635002,1 +202460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.983141913,1 +202462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.112242825,1 +202463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.356757878,1 +202464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.682025991,1 +202461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.580609579,1 +202465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.028278639,1 +202467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.189396459,1 +202466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.248961876,1 +202469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.202045373,1 +202468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.073387772,1 +202473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.314178072,1 +202471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.023262445,1 +202470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.274107574,1 +202474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.649380567,1 +202472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.759520632,1 +202476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.359584128,1 +202475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.350585238,1 +202477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,1.94070607,1 +202478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.332221908,1 +202480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.045835889,1 +202479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.727700052,1 +202482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.648725072,1 +202483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.370899847,1 +202481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.303996342,1 +202485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.681066071,1 +202484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.373996481,1 +202487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.690836632,1 +202486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.110240056,1 +202488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.926431193,1 +202489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.27436529,1 +202490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.317595439,1 +202491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.221804812,1 +202492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.378662872,1 +202493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.580771768,1 +202494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.115833484,1 +202495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.625095163,1 +202496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.361244113,1 +202497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.429446033,1 +202498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.680445057,1 +202500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,8.538893096,1 +202499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.18093851,1 +202501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.039810276,1 +202502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.428907296,1 +202504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.393823562,1 +202503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.16107683,1 +202505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.152611493,1 +202506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.897786587,1 +202508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.248473317,1 +202507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.573027043,1 +202511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.691481013,1 +202509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.324157213,1 +202510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.300222865,1 +202512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.162069404,1 +202513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.753657571,1 +202514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.525326039,1 +202515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.21939483,1 +202516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.305832174,1 +202517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,11.46916238,1 +202519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.630921023,1 +202518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.454237354,1 +202520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.558936176,1 +202521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.53835778,1 +202522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.693931162,1 +202523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.763292772,1 +202524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.220794978,1 +202525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,1.044662816,1 +202526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.256968766,1 +202528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.663407742,1 +202527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.201664739,1 +202529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.323290824,1 +202530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.339817648,1 +202532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.729674649,1 +202531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.44561601,1 +202536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.812601121,1 +202534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.124157134,1 +202533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.734123112,1 +202535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.129340165,1 +202537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.341294617,1 +202539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.564383973,1 +202540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.212924774,1 +202541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.312453958,1 +202538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.49106993,1 +202542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.899063785,1 +202543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,1.616088271,1 +202544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.039957629,1 +202546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.720513923,1 +202545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.804115482,1 +202547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.221541819,1 +202548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.291797584,1 +202550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.856405236,1 +202549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,8.329891014,1 +202552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.890758888,1 +202554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.918966991,1 +202553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.400047409,1 +202551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.131759055,1 +202555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.517979937,1 +202556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.999050891,1 +202557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.864151347,1 +202559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.172309207,1 +202558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.84091269,1 +202560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.816531336,1 +202561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.984901584,1 +202565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.784054434,1 +202564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.655340469,1 +202563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.90607607,1 +202562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.621560442,1 +202566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.22606594,1 +202568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,8.177705655,1 +202569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.351585974,1 +202567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.31197002,1 +202572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.386126156,1 +202570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,8.139510215,1 +202573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.321121755,1 +202574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.165159223,1 +202575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.653048713,1 +202576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.340935438,1 +202571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.872095976,1 +202578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.036782493,1 +202579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.910546883,1 +202577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.269424648,1 +202580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.204746724,1 +202581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.213301148,1 +202583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.414617674,1 +202584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.237956171,1 +202586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.070238315,1 +202585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.493497886,1 +202587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,8.481489979,1 +202582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.725884465,1 +202588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.351984038,1 +202589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.789394173,1 +202591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,0.809983685,1 +202592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.479692258,1 +202593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.577452481,1 +202590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,8.112297125,1 +202594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.129145515,1 +202596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.716054469,1 +202597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.810209506,1 +202595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.634433679,1 +202598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.232257089,1 +202601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.209615735,1 +202600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.355093265,1 +202603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.935685615,1 +202599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.746723672,1 +202602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.977865652,1 +202604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.225450524,1 +202605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.771928881,1 +202606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.657444617,1 +202607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.979644976,1 +202610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.752171353,1 +202609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.497863097,1 +202608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.921911826,1 +202612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.009114146,1 +202611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.022037085,1 +202613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.846094953,1 +202615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.657500385,1 +202616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.773749403,1 +202614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.671320288,1 +202617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.825520025,1 +202620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.624762008,1 +202618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.201209547,1 +202621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.801566345,1 +202619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.372049794,1 +202623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.099634111,1 +202624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.383377185,1 +202625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.516467831,1 +202622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.51622397,1 +202626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.263885362,1 +202627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.041140157,1 +202628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.104537402,1 +202630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,1.206048537,1 +202629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.577796546,1 +202631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.976414624,1 +202632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,1.958312537,1 +202634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.278492456,1 +202635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.408852731,1 +202636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.659867593,1 +202637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.696511518,1 +202638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.619855587,1 +202633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.674179617,1 +202642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.362692846,1 +202639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,8.038660674,1 +202640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.504737924,1 +202641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.410957357,1 +202644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.422340401,1 +202643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.815598674,1 +202646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.134952452,1 +202645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.511201579,1 +202647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.351622436,1 +202648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.582249911,1 +202649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.068217125,1 +202650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.077635305,1 +202651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.523466928,1 +202653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.731347903,1 +202654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.011176023,1 +202652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.196679113,1 +202655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.331066926,1 +202656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.105900282,1 +202658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.439920332,1 +202657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.512441422,1 +202660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.720621211,1 +202659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.51940324,1 +202661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.000359079,1 +202662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.682618397,1 +202663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.100434823,1 +202664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.829348406,1 +202665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.752236111,1 +202667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.334793876,1 +202668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.961907327,1 +202666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.843637404,1 +202671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.183856685,1 +202669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.981701864,1 +202672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.872597819,1 +202670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.619178929,1 +202674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.384686468,1 +202673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.491311905,1 +202675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.084508596,1 +202676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.240071079,1 +202678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.236122627,1 +202679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.918215439,1 +202677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.396866119,1 +202681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.483032911,1 +202680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.666846869,1 +202682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.97098896,1 +202683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.147377264,1 +202684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.591348918,1 +202685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.72757486,1 +202686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.493751795,1 +202687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,1.595891426,1 +202689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.91144497,1 +202688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.472856151,1 +202690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,8.738823543,1 +202692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.601055879,1 +202693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.54281075,1 +202694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.738563272,1 +202695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.96499727,1 +202691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.416357114,1 +202696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.973164681,1 +202697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.318305555,1 +202698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.787302536,1 +202700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.49358713,1 +202699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.283787723,1 +202702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.913233009,1 +202701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.643787458,1 +202703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.944560926,1 +202704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.322345026,1 +202706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.660007594,1 +202707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.563678017,1 +202708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.463867336,1 +202710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.666076496,1 +202709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.913835589,1 +202705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.83232724,1 +202712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.165303124,1 +202713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.496290717,1 +202714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.779450297,1 +202711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.469786761,1 +202718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.285731316,1 +202717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.607108029,1 +202715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.171717845,1 +202716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.905626485,1 +202719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.94735708,1 +202720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.783713395,1 +202721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.734819242,1 +202722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.941193738,1 +202723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.840824473,1 +202725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.953345211,1 +202726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.825883542,1 +202728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.210399159,1 +202724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.023356437,1 +202729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.044966122,1 +202727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.835157542,1 +202731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.432442031,1 +202733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.259032061,1 +202730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.871723429,1 +202734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.174154325,1 +202732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.733415513,1 +202735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.157220185,1 +202737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.475224109,1 +202736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.139273057,1 +202738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,8.699326466,1 +202739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.520855505,1 +202741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.85627338,1 +202742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.632966938,1 +202743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,8.407028746,1 +202744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.684980427,1 +202740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.087056448,1 +202745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.995484687,1 +202748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.228076131,1 +202747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.029121223,1 +202746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.36091008,1 +202749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,1.83678335,1 +202750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.356427869,1 +202752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.375541478,1 +202753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.392438102,1 +202751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.204517885,1 +202754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.726543487,1 +202755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.8917218,1 +202757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.247047018,1 +202756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.56373889,1 +202759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.571038071,1 +202760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.160783352,1 +202761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.458225762,1 +202758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.53021797,1 +202763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.303571541,1 +202765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.708330473,1 +202762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.639009209,1 +202764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.752509667,1 +202766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.997809293,1 +202767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.720523706,1 +202768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.172367349,1 +202770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,1.895173719,1 +202769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.316313716,1 +202772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.402116941,1 +202771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.737344607,1 +202773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,1.934465232,1 +202776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.873542517,1 +202774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.371923376,1 +202778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.667664368,1 +202777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.224316881,1 +202775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.729054922,1 +202779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.32132068,1 +202781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.963153801,1 +202780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.612186474,1 +202783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.577816859,1 +202784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.454769412,1 +202786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.271152727,1 +202782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.513624011,1 +202787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.962375319,1 +202785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.536659654,1 +202789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.742170871,1 +202791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.18955746,1 +202792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.065857351,1 +202788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.332671452,1 +202790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.8168613,1 +202793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.076653182,1 +202795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.67933973,1 +202794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.099923063,1 +202796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.097935492,1 +202797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.073557377,1 +202798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.387245546,1 +202799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.385965504,1 +202801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.528429064,1 +202803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.761414927,1 +202802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.87105214,1 +202804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,8.093302031,1 +202805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.378373537,1 +202800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.438820683,1 +202806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.584566311,1 +202809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.459875081,1 +202808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.552633588,1 +202810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.164265799,1 +202807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.281305497,1 +202811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.519478491,1 +202812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.74069122,1 +202814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.728899449,1 +202815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.285610731,1 +202816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,8.090413364,1 +202817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.513351422,1 +202818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.72815669,1 +202813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.214166429,1 +202819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.941205957,1 +202820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.124231006,1 +202822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.597608323,1 +202821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.776168178,1 +202823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.217174619,1 +202824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.623082055,1 +202825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.355996299,1 +202826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.789642379,1 +202827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.183119347,1 +202828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.52875174,1 +202829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.073500185,1 +202830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.07614115,1 +202831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.55243801,1 +202832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.623704937,1 +202834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.046332588,1 +202835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.683498642,1 +202836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.70618518,1 +202837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.847822253,1 +202833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.398497587,1 +202838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.830759269,1 +202839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.531035971,1 +202840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.460796989,1 +202842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.302647817,1 +202841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.909382544,1 +202843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.407298774,1 +202844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.706839713,1 +202845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.532840607,1 +202846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.668947331,1 +202847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.045878086,1 +202848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.163532291,1 +202849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.470758935,1 +202851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.800521995,1 +202853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.41789635,1 +202852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.36805342,1 +202850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,8.283163285,1 +202854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,8.865671081,1 +202855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.14285477,1 +202856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,8.15684743,1 +202857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.679862161,1 +202858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.153651361,1 +202859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.712740661,1 +202860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,8.082469142,1 +202861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.726121081,1 +202862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.769093886,1 +202863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,8.887935904,1 +202864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.59626963,1 +202865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.145463128,1 +202866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.481911128,1 +202868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.388289643,1 +202867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.030162416,1 +202870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.068400217,1 +202869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.948743127,1 +202871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.79078708,1 +202872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.882132639,1 +202873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.467918302,1 +202874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.502137072,1 +202875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.071521166,1 +202876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.605466456,1 +202877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.987468825,1 +202879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.275670378,1 +202880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,8.136958573,1 +202878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,8.916834085,1 +202881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.852612321,1 +202882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.840567436,1 +202885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.703870518,1 +202884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.261187773,1 +202883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.632844896,1 +202886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.545490498,1 +202887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.734767991,1 +202889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.763008615,1 +202890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.505592254,1 +202891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.695960661,1 +202892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.970662264,1 +202888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.220970663,1 +202893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.448394495,1 +202894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.827681252,1 +202895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.987558482,1 +202897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.355573031,1 +202898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.709423167,1 +202896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,9.185767088,1 +202900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.234183283,1 +202899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.753134186,1 +202902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.797480102,1 +202901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.518931884,1 +202903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.902301482,1 +202904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.759302274,1 +202905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.73091415,1 +202906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.74727687,1 +202907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.84587207,1 +202908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.853677019,1 +202910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.717433491,1 +202911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.765897566,1 +202912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.387154264,1 +202913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.147145272,1 +202909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.377718977,1 +202914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.448566468,1 +202915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.464450532,1 +202917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.890006709,1 +202916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.653283368,1 +202918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.613622544,1 +202919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,8.680875274,1 +202920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.822508522,1 +202921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.11806408,1 +202922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.555683644,1 +202923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.46306616,1 +202925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.770360466,1 +202926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.885593311,1 +202924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.828596704,1 +202927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.16517923,1 +202928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.975420371,1 +202929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.342708314,1 +202931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.341167603,1 +202930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.16037733,1 +202932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.472391557,1 +202933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.296283641,1 +202934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.812065392,1 +202938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.241405786,1 +202937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.886653552,1 +202936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.306966435,1 +202935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.225971797,1 +202939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.954030115,1 +202940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.801706116,1 +202941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.103454975,1 +202942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.516668149,1 +202943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.620595563,1 +202944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.674391141,1 +202945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.555390091,1 +202946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.357078159,1 +202948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.664587617,1 +202947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.078601002,1 +202951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.187681366,1 +202952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.270561003,1 +202950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.591026777,1 +202949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.567254536,1 +202953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.687737411,1 +202954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.419424781,1 +202955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.720013472,1 +202957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.782880447,1 +202956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.0853678,1 +202958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.629729201,1 +202959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.432913533,1 +202961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.603673779,1 +202960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.536288079,1 +202962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.479626718,1 +202963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.633452302,1 +202964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.963467507,1 +202965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.725452132,1 +202966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.460439156,1 +202967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.426305371,1 +202969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,2.047887597,1 +202970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.294421911,1 +202968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.314623682,1 +202971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.295637701,1 +202972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.264169972,1 +202973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.252168056,1 +202974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.442895814,1 +202975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,3.056892586,1 +202976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.037443727,1 +202977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.094701997,1 +202978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,1.909670223,1 +202979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.08317418,1 +202980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.643146419,1 +202981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.457447356,1 +202982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.675877872,1 +202983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.338208578,1 +202985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.155111682,1 +202984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.212012495,1 +202987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.79262038,1 +202989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.639936102,1 +202988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.49566011,1 +202986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.07662165,1 +202990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.569801062,1 +202991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,9.794336213,1 +202993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.031325552,1 +202992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.147062106,1 +202994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.778922861,1 +202996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.524831607,1 +202995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,6.135198231,1 +202997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,4.42481524,1 +202998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.074826491,1 +202999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,5.874061773,1 +203000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,3,1,7.941766052,1 +3001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.955573607,1 +3002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.959278709,1 +3003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.441599462,1 +3005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.450650696,1 +3006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.686236761,1 +3004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.459960006,1 +3007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.043692536,1 +3008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.199170203,1 +3010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.888295318,1 +3011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.479195995,1 +3012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.532109505,1 +3013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.603941894,1 +3009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.484316642,1 +3014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.556817469,1 +3015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.365846127,1 +3016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.952299347,1 +3018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.147309283,1 +3017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.922741629,1 +3020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.228398135,1 +3019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.39012909,1 +3022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.902188014,1 +3023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.989330226,1 +3021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.455563704,1 +3024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.384761281,1 +3027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.529978743,1 +3026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.388361814,1 +3028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.498908829,1 +3029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.878812644,1 +3030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.298439255,1 +3025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.476318141,1 +3031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.429932172,1 +3033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.915907518,1 +3035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.050837924,1 +3032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.913404463,1 +3034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.629844305,1 +3036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.432528459,1 +3037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.695989331,1 +3038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.353002343,1 +3039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.395537332,1 +3040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.892497695,1 +3041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.630562029,1 +3042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.30198026,1 +3044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.300397864,1 +3043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.90398888,1 +3045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.685558927,1 +3046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.176537615,1 +3047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.891340009,1 +3049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.759869223,1 +3050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.180988067,1 +3051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,8.062168461,1 +3048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.092405859,1 +3054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.299777116,1 +3052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.235437298,1 +3055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.022088578,1 +3053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.200011866,1 +3056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.448286167,1 +3057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.383171406,1 +3058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.744937508,1 +3059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.805122875,1 +3061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.555654906,1 +3060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.463536894,1 +3062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.485326542,1 +3063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.539502755,1 +3064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.347942077,1 +3065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.08671523,1 +3067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.692120653,1 +3066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,8.332374389,1 +3069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.881083642,1 +3068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.148894624,1 +3070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.753196386,1 +3071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.741018575,1 +3072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.497396284,1 +3073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.949278586,1 +3074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.847780692,1 +3075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.505122784,1 +3076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.777210467,1 +3077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.033159745,1 +3078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.708027824,1 +3081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,10.02929817,1 +3079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.160925437,1 +3082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.66650352,1 +3080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.731132232,1 +3086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.790764295,1 +3083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.92296647,1 +3085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.789101019,1 +3084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.661298005,1 +3087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.111830825,1 +3089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.772456939,1 +3088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.616769399,1 +3092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.767926743,1 +3093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.349888541,1 +3091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.611619621,1 +3090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.963771961,1 +3094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.758437597,1 +3095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.620738352,1 +3096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.582577561,1 +3097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.390095551,1 +3099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.801510746,1 +3100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.980274608,1 +3098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.61031226,1 +3101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.634144896,1 +3103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.64853018,1 +3102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.982463569,1 +3104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.919216296,1 +3105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.159420212,1 +3107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.573004469,1 +3108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.704760311,1 +3109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.85545973,1 +3106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.271812983,1 +3110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.412221046,1 +3112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.946345075,1 +3111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.484169091,1 +3113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.623980279,1 +3114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.86887336,1 +3116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.292269007,1 +3115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.380119934,1 +3118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.167765147,1 +3119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.31446753,1 +3120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.085951314,1 +3117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.692919402,1 +3121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.61657442,1 +3122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.992747141,1 +3123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.336953868,1 +3126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.748476623,1 +3125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.35242421,1 +3124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.145817778,1 +3127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.245987594,1 +3130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,8.874493207,1 +3129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.255187366,1 +3128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,8.194925617,1 +3131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.948763062,1 +3132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,9.470448888,1 +3134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.404496422,1 +3135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.486746735,1 +3136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.048869408,1 +3137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.100583642,1 +3138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.479530061,1 +3133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.49855845,1 +3139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.5001054,1 +3140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.528301509,1 +3141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.30995323,1 +3142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.71000025,1 +3143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.901986422,1 +3145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.456521692,1 +3144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.653492495,1 +3146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.468308491,1 +3148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.186006541,1 +3147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.358233998,1 +3149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.502670767,1 +3150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.620351683,1 +3151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.054658806,1 +3152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.213424884,1 +3153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,10.1688524,1 +3155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.532783551,1 +3156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.330262546,1 +3157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.277662945,1 +3160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.213127384,1 +3154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.611761179,1 +3159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.885681138,1 +3158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.881093654,1 +3162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.050310098,1 +3161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.673513115,1 +3163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.667285872,1 +3164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.241969182,1 +3165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.355073638,1 +3166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.897161407,1 +3167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,10.84193689,1 +3168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.886632088,1 +3170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.27885605,1 +3169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.454020072,1 +3171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.743021721,1 +3172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.104622319,1 +3173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.062985251,1 +3175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.884971455,1 +3174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.195676745,1 +3177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.855157853,1 +3176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.787917893,1 +3178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.04570573,1 +3181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.71788669,1 +3180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.765433386,1 +3179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.177443154,1 +3182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,9.060743337,1 +3183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.285513053,1 +3184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.836832305,1 +3186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.356536943,1 +3185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.841643681,1 +3187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.209743574,1 +3188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.234925966,1 +3190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.272437446,1 +3189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.545672972,1 +3191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.440274609,1 +3193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.70779885,1 +3192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.82235296,1 +3194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.947073626,1 +3195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.992355926,1 +3196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.574830915,1 +3197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,9.644442389,1 +3198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,8.450681424,1 +3199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.652640518,1 +3201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.906736703,1 +3202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.845560186,1 +3200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.513929192,1 +3204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.677588001,1 +3203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.734623906,1 +3205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.816698875,1 +3206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.82199512,1 +3207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.201048356,1 +3208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.072597999,1 +3209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.925940045,1 +3210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.64200011,1 +3211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.454668208,1 +3212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.334844429,1 +3213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.726814605,1 +3215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.860506587,1 +3216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.746770663,1 +3214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.000644848,1 +3217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.348118133,1 +3219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.233409297,1 +3218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.69137412,1 +3220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.301884324,1 +3221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.397302439,1 +3222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.214964156,1 +3223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.729380805,1 +3225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.231462355,1 +3224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.929695832,1 +3226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.522278767,1 +3228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.379054972,1 +3227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.023106423,1 +3229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.840586625,1 +3230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.237973104,1 +3232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,8.480500013,1 +3231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.400978602,1 +3234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.446548268,1 +3233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.479787195,1 +3235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.720580986,1 +3236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.164157577,1 +3237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.626130563,1 +3239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.81249071,1 +3240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.4571838,1 +3238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.735033444,1 +3241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.996935422,1 +3242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.289280843,1 +3243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.01512774,1 +3245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.462696006,1 +3246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.416700492,1 +3247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.514110547,1 +3244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.470047894,1 +3248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.855902402,1 +3249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.094078239,1 +3250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.586886756,1 +3252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.795218972,1 +3251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.376128036,1 +3253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.430700538,1 +3255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.503147012,1 +3254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.710610686,1 +3256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.210748723,1 +3258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.651976955,1 +3257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.135418121,1 +3259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.769572199,1 +3262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.656114865,1 +3261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.413600337,1 +3263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.333789142,1 +3260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.137101734,1 +3265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.49138708,1 +3264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,8.76341747,1 +3266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.603286851,1 +3269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.85201836,1 +3267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.150270397,1 +3268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.271475065,1 +3270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.266066262,1 +3271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.651570024,1 +3272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.584082198,1 +3273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.438529288,1 +3274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.156348829,1 +3275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.04965274,1 +3277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.568849935,1 +3276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.699577634,1 +3278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.487962151,1 +3280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.650363645,1 +3279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.777419794,1 +3282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.312838531,1 +3284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.343014834,1 +3283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,8.827757347,1 +3281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.124047012,1 +3285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.59649858,1 +3287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.84332155,1 +3286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.423393654,1 +3289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.490989131,1 +3288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.914409329,1 +3290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.950730114,1 +3291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.170972382,1 +3292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.078782663,1 +3293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.990739406,1 +3294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.576710411,1 +3296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.876342029,1 +3295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,10.48851687,1 +3299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.068779664,1 +3298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.558653176,1 +3297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.064258804,1 +3300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.560876875,1 +3302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.20223617,1 +3301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.825220866,1 +3303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.276731038,1 +3304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,9.917896128,1 +3305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.672440947,1 +3306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.78336943,1 +3308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.27576847,1 +3307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.8633079,1 +3309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.788821975,1 +3310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.514370155,1 +3311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.022601219,1 +3312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.092538695,1 +3314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.092006494,1 +3315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.379682139,1 +3313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.74250938,1 +3316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.667496398,1 +3317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.536859513,1 +3319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.371522936,1 +3318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.108859369,1 +3320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.949267706,1 +3321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.621303334,1 +3322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.301267289,1 +3323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.384883672,1 +3324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.572706992,1 +3325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.514308122,1 +3326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.250197057,1 +3327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.180219502,1 +3329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,9.187809627,1 +3331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.299605347,1 +3328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.934891155,1 +3330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.284904217,1 +3332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.570406148,1 +3333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.354011512,1 +3335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.880587336,1 +3334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.138384614,1 +3336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.926290695,1 +3337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,0.418264007,1 +3338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,9.151696468,1 +3340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.057380065,1 +3339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.466616897,1 +3341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.738935869,1 +3342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.83099395,1 +3343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.913864915,1 +3344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.910178439,1 +3346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.040668066,1 +3345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.022900094,1 +3348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.517105917,1 +3347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,8.082536791,1 +3349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.281198385,1 +3350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.316311966,1 +3352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.169636889,1 +3351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.85733037,1 +3353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.20238037,1 +3354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.64833742,1 +3355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.191523961,1 +3356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.124792954,1 +3357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.566563785,1 +3358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,8.525394606,1 +3359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.20461197,1 +3360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.919938352,1 +3361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.296178731,1 +3362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.571076065,1 +3363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.435173598,1 +3364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.8829669,1 +3366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.084209861,1 +3367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.591166599,1 +3368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,8.413262225,1 +3369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.086523502,1 +3365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.370895318,1 +3370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.463153068,1 +3371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.703170392,1 +3372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.46214307,1 +3374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.693022397,1 +3375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.753554242,1 +3373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.161829177,1 +3376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.00732522,1 +3377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.990188935,1 +3378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.137716762,1 +3379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.997900934,1 +3381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.545623139,1 +3383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.436751961,1 +3380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.549721124,1 +3382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.362428486,1 +3384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.197191388,1 +3386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,8.560116577,1 +3385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.713063758,1 +3388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.392881503,1 +3389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.643232991,1 +3390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.55973986,1 +3387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.236427594,1 +3391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.64799178,1 +3393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.609460566,1 +3392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.591669843,1 +3395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.024854242,1 +3394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.800644123,1 +3397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.170423182,1 +3396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.296786752,1 +3398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.614366135,1 +3399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.622749879,1 +3400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,8.787160567,1 +3402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.405287316,1 +3401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.446801433,1 +3404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.853511685,1 +3405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.959181227,1 +3406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.633940189,1 +3403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.641296503,1 +3407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.270050827,1 +3409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.46784127,1 +3408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.510081535,1 +3410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.458046363,1 +3411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.744487631,1 +3412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.975164893,1 +3413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.389782855,1 +3414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.408580537,1 +3415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.406498926,1 +3416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.195941339,1 +3417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.241637274,1 +3418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.574369452,1 +3419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.40082005,1 +3421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,8.72021651,1 +3420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.88640235,1 +3422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.487808979,1 +3424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.677872568,1 +3423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.177449657,1 +3425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.643374072,1 +3426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.022262486,1 +3427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.014870242,1 +3429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.177964648,1 +3428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.934291421,1 +3430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.544089286,1 +3431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.529775206,1 +3432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.631668618,1 +3434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.837380416,1 +3435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,9.641879514,1 +3433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.608866646,1 +3436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.184236828,1 +3437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.541019261,1 +3438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.802468745,1 +3440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.937996537,1 +3439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.899051717,1 +3441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.546333382,1 +3442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.775355261,1 +3443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.588431701,1 +3445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.465111521,1 +3444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.639308911,1 +3446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.549478839,1 +3447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.481113783,1 +3448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.207933302,1 +3449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.906349526,1 +3450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.517892633,1 +3451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.994650864,1 +3452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.768136412,1 +3453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.10191544,1 +3454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.353994955,1 +3456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.047585747,1 +3455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,8.317647921,1 +3457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.736994988,1 +3460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.619935092,1 +3459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.714462811,1 +3461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.399886792,1 +3458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.770360194,1 +3462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,10.52705579,1 +3463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.603762953,1 +3464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,9.126417703,1 +3466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.900434033,1 +3468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.075758325,1 +3465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.828881695,1 +3467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.295258256,1 +3471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.826051393,1 +3469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.279280253,1 +3470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.164958084,1 +3472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.677367498,1 +3473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.03371222,1 +3474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.91328479,1 +3475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.720723698,1 +3476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.374592403,1 +3478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.451210914,1 +3479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.73583337,1 +3480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.101426867,1 +3477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.654122742,1 +3481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.273103071,1 +3482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.60862185,1 +3483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.267757449,1 +3484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.585663153,1 +3485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.956162213,1 +3486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.957112977,1 +3488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.040811267,1 +3487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.514958602,1 +3489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.700701562,1 +3490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.052597272,1 +3491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.592720542,1 +3492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.749306621,1 +3493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.399288916,1 +3494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.841833117,1 +3496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.05116883,1 +3497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.295928591,1 +3498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.504565472,1 +3499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.3331619,1 +3495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.400484658,1 +3501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,9.455352222,1 +3500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.713758369,1 +3503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.48746886,1 +3502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.510166009,1 +3504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.03621252,1 +3506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,8.285120562,1 +3505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.507976727,1 +3507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.897164263,1 +3509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.383658839,1 +3508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.700401991,1 +3510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.466525441,1 +3511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,0.704824212,1 +3513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.22461082,1 +3514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.89964134,1 +3515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.623479992,1 +3516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.001091447,1 +3512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.758137183,1 +3517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.936545386,1 +3518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.38221339,1 +3520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.951120318,1 +3519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.689502596,1 +3521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.935494335,1 +3522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.333991191,1 +3524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.119201871,1 +3523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.145803295,1 +3525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,10.72320473,1 +3526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.323446447,1 +3527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.045035698,1 +3528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.647589567,1 +3529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.814460025,1 +3530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.044419403,1 +3531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.423835053,1 +3533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.557669727,1 +3534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.495214755,1 +3535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.830718874,1 +3532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.260687838,1 +3536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.07691396,1 +3537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.354235885,1 +3538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.667601317,1 +3539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.983265602,1 +3540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.498616668,1 +3542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.565865305,1 +3541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.873798766,1 +3544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.769765469,1 +3546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.553044013,1 +3545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.778092034,1 +3543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.648948084,1 +3549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.931187538,1 +3548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.75844136,1 +3547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.015065103,1 +3550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.756066822,1 +3552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.666999929,1 +3551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.128549889,1 +3553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.669233705,1 +3555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.557337972,1 +3557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,8.922468783,1 +3556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.211307574,1 +3558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.735611931,1 +3559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.565689509,1 +3554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.49550379,1 +3560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.30037457,1 +3561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.530352047,1 +3563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.875704163,1 +3562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.417865103,1 +3564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.277977702,1 +3566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.196986629,1 +3565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.690724016,1 +3567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,0.909615411,1 +3568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.262688189,1 +3570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.309523922,1 +3569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.057632896,1 +3571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,8.393231783,1 +3572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.6852993,1 +3573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.919532208,1 +3575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.219748372,1 +3576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,10.14682513,1 +3577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.078449941,1 +3574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.06540865,1 +3578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.678982279,1 +3579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.262732837,1 +3580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.611906991,1 +3581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,8.013428541,1 +3582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.287899607,1 +3583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.814410884,1 +3584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.768278009,1 +3585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.710958886,1 +3586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.645375695,1 +3587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,8.571633969,1 +3588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.32336567,1 +3590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.964294229,1 +3591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.802508566,1 +3592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.319275646,1 +3593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.385864791,1 +3589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.264535038,1 +3594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.996421282,1 +3595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.991991544,1 +3597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.0374078,1 +3596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.993478698,1 +3598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.965542492,1 +3599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.545408435,1 +3601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.327087793,1 +3600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.510842022,1 +3602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.198772386,1 +3603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.370308923,1 +3604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.680220459,1 +3605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.409861419,1 +3606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.17526697,1 +3607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.447979417,1 +3608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,8.607695313,1 +3611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.770210495,1 +3610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.712183939,1 +3609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.209749856,1 +3612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.090341557,1 +3613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.901606273,1 +3615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.475757942,1 +3614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.774547001,1 +3616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.73715159,1 +3617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.285541772,1 +3618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.391378414,1 +3620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.452621917,1 +3619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.849461262,1 +3621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.680137183,1 +3622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.97528845,1 +3623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.011163412,1 +3624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.658589926,1 +3626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.040284418,1 +3625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.674012193,1 +3627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,8.094345972,1 +3628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.923022349,1 +3630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.926220555,1 +3629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.812885492,1 +3631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.120921234,1 +3632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.292213338,1 +3633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.444017438,1 +3634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.192299858,1 +3635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.826370013,1 +3637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.713111243,1 +3639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.471417572,1 +3636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.721556296,1 +3638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.603760902,1 +3643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.675309353,1 +3640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.069223158,1 +3641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.366639827,1 +3642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.234153375,1 +3645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.120944569,1 +3646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.235229153,1 +3648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.12531738,1 +3647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.600093937,1 +3649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.255761249,1 +3650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.463575963,1 +3651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.651215474,1 +3652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.785656472,1 +3644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.667396212,1 +3654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.039550004,1 +3656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.97041133,1 +3653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.293667646,1 +3655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.344334465,1 +3658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.560329308,1 +3659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.412910132,1 +3660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.756660232,1 +3661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.998202121,1 +3662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.135194899,1 +3663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.433922895,1 +3657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.97253054,1 +3665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.566111832,1 +3666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.713468759,1 +3667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.807685965,1 +3668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.859893742,1 +3664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.019665529,1 +3670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.115836875,1 +3672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.390066159,1 +3669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.160427281,1 +3671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.452158281,1 +3673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.454577206,1 +3674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.769386458,1 +3675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.750012843,1 +3676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.877713778,1 +3678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.438485322,1 +3679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.795897892,1 +3680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.427698613,1 +3677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.541073692,1 +3682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.233065102,1 +3683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.102197723,1 +3681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.564529731,1 +3684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.148347588,1 +3685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.350744293,1 +3687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.483206148,1 +3688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.021581912,1 +3686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.984392467,1 +3689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.284143497,1 +3690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.478261549,1 +3691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.822863833,1 +3692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.587313928,1 +3693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,8.236934067,1 +3694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.576108587,1 +3696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.740174585,1 +3697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.164781502,1 +3698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.489507909,1 +3699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.612080016,1 +3695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.404188218,1 +3700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,11.06354572,1 +3703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.606438565,1 +3701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.710899777,1 +3702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.018421633,1 +3705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.844218591,1 +3704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.588987009,1 +3706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.71106217,1 +3707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.748667696,1 +3710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.653566987,1 +3708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.751902937,1 +3709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.448081047,1 +3711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.883139459,1 +3712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.597903507,1 +3713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,8.804741806,1 +3715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.646395399,1 +3716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.069052994,1 +3717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.464150848,1 +3718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.558131996,1 +3714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.741933021,1 +3719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.635915568,1 +3720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.899658783,1 +3721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.306254431,1 +3722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.451957102,1 +3723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.161017148,1 +3724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.268189961,1 +3725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.980118509,1 +3726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.778104572,1 +3727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.583104169,1 +3728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.599353115,1 +3729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,9.610555974,1 +3731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.74586023,1 +3730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.707750457,1 +3732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.078887879,1 +3733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.718341257,1 +3735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.457171785,1 +3736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.918407432,1 +3734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.795243822,1 +3737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.524166269,1 +3738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.686586423,1 +3739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.816888191,1 +3740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.799030346,1 +3741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.288976942,1 +3743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.465104229,1 +3744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.523476561,1 +3745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.984390503,1 +3742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.353200256,1 +3746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.753596836,1 +3747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.829461333,1 +3748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.177240119,1 +3749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.518501167,1 +3751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.655079899,1 +3750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.32062171,1 +3752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.674324962,1 +3753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.92661999,1 +3754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.257352226,1 +3756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.306473174,1 +3755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.15349411,1 +3758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.158787015,1 +3757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.156848743,1 +3760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,8.027928715,1 +3759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.959341373,1 +3761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.554281058,1 +3762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.746587224,1 +3763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.370939967,1 +3764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.55827426,1 +3765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.23525372,1 +3768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.097594307,1 +3766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.38259137,1 +3769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.939990969,1 +3770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.715415059,1 +3772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.231199476,1 +3773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.598670439,1 +3767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.12435605,1 +3771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.746816926,1 +3774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.328836178,1 +3776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.445429754,1 +3775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.762979275,1 +3779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.702744625,1 +3777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.900163915,1 +3778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.238851315,1 +3781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.473985815,1 +3780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.529646844,1 +3782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.525566112,1 +3783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,0.71041434,1 +3785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,8.228775284,1 +3784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.284395987,1 +3787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.425610985,1 +3788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.357379309,1 +3786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.595196339,1 +3790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.524577589,1 +3789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,9.535279055,1 +3791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.920945834,1 +3793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.601749623,1 +3794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.494347116,1 +3792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,8.520930767,1 +3797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.993375014,1 +3795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.538750928,1 +3798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.547117089,1 +3796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.339759438,1 +3799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.056104804,1 +3800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.083001929,1 +3802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.690590101,1 +3804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.159993379,1 +3803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.604405557,1 +3805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.164843558,1 +3801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.767480488,1 +3806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.891913756,1 +3808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.967817996,1 +3807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.709270855,1 +3809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,10.49531017,1 +3812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.093050411,1 +3810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.352414932,1 +3813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.612972476,1 +3811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.70270954,1 +3814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,9.364824463,1 +3815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.000474638,1 +3816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.17167698,1 +3817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.159877122,1 +3819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.33226475,1 +3821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.020098647,1 +3818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.016208859,1 +3823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.927554398,1 +3822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.402788514,1 +3824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,8.419864304,1 +3827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.015667922,1 +3820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.868668711,1 +3825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.528905695,1 +3826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.100498282,1 +3828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.364742636,1 +3831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.705694024,1 +3830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.377589686,1 +3829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.15274568,1 +3834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.110196363,1 +3833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.067484175,1 +3835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.703893006,1 +3836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.047187598,1 +3837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.115538513,1 +3832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.939514504,1 +3839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.821719696,1 +3841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.777597284,1 +3840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.722267137,1 +3838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.403223307,1 +3842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.908341048,1 +3843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.07890894,1 +3845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.798126542,1 +3844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.139389234,1 +3847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.601302597,1 +3846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.115200112,1 +3849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.143620712,1 +3848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.151364225,1 +3850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.792106979,1 +3851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.496755516,1 +3852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.043736502,1 +3853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.179637211,1 +3855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.821923105,1 +3856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.184358061,1 +3854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.319404953,1 +3858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.245759062,1 +3857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.456335717,1 +3859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,8.162417658,1 +3860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.019348228,1 +3861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.601212499,1 +3862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.979329097,1 +3863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.93306737,1 +3864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.125670345,1 +3865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.582182472,1 +3866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.151362942,1 +3867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.203372243,1 +3868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.676684857,1 +3869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.116274782,1 +3870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.697253272,1 +3872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.68812116,1 +3871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.103188327,1 +3873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.770018016,1 +3875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.037534661,1 +3876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.47770095,1 +3877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.723806481,1 +3874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.782630572,1 +3878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.20353445,1 +3879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.057294686,1 +3880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.026765749,1 +3881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.004607774,1 +3882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.092191511,1 +3883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.9757914,1 +3884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,10.72099477,1 +3885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.997632998,1 +3886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.043122644,1 +3888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.924193039,1 +3887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,10.28876973,1 +3889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.332620559,1 +3890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.347819901,1 +3891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.003439673,1 +3892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,8.098065291,1 +3893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,0.757901333,1 +3894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.947633577,1 +3895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.491640607,1 +3896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.888616164,1 +3898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.530702452,1 +3897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.302828125,1 +3899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.488549927,1 +3900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.411600759,1 +3901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.156072559,1 +3902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.925431933,1 +3903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.092896314,1 +3904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.844413788,1 +3905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.222919652,1 +3907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.621033932,1 +3908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.086937039,1 +3909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,9.018517122,1 +3910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.35008008,1 +3906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.338899614,1 +3911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.476444832,1 +3912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.354344209,1 +3913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.263353334,1 +3915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.685011011,1 +3916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.606350736,1 +3917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.522221511,1 +3914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.887014443,1 +3918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,0.776195457,1 +3921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.796487024,1 +3920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.742440359,1 +3919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.271779266,1 +3922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.181632002,1 +3923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.145661418,1 +3925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.937737284,1 +3926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.701526071,1 +3927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.613727384,1 +3928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.414970462,1 +3924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.013856215,1 +3929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.237471212,1 +3930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.053336225,1 +3931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.454930071,1 +3933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,8.187694133,1 +3932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.911552523,1 +3934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.748722245,1 +3935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,9.571055271,1 +3936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.463196897,1 +3937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,0.760910937,1 +3938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.340077131,1 +3939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.894037008,1 +3940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.961651712,1 +3941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.511445903,1 +3942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.695348944,1 +3943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,0.35527236,1 +3944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.258268219,1 +3947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.289308476,1 +3946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.551864041,1 +3948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.754878714,1 +3945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.10597788,1 +3950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,1.789824079,1 +3949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.507494915,1 +3951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.27246885,1 +3952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.078022637,1 +3953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.215778806,1 +3954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.29020406,1 +3955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.263460817,1 +3957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.602191465,1 +3956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.736804276,1 +3958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.264401034,1 +3959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.629787953,1 +3960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,8.379940435,1 +3961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.883387264,1 +3963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.282322831,1 +3962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.77944728,1 +3964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.210096277,1 +3967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.932083701,1 +3966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.516499654,1 +3965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,2.750580511,1 +3968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.928499707,1 +3969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.26695431,1 +3970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.414284416,1 +3971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.564793203,1 +3972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.20901907,1 +3973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.26438979,1 +3974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,8.684107342,1 +3975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.892468958,1 +3976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,10.16908359,1 +3977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.433867558,1 +3978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,0.197376455,1 +3979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.366923852,1 +3981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.894705681,1 +3982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.706394944,1 +3980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.007504707,1 +3983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.898745042,1 +3986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,7.162772543,1 +3984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.928074336,1 +3985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.563937081,1 +3989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.97255559,1 +3987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,8.071540065,1 +3988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.036025474,1 +3990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.003254956,1 +3991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,9.012999424,1 +3993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.141848249,1 +3992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,6.686475195,1 +3994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.251865383,1 +3996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.238526181,1 +3998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,3.084352357,1 +3995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.578309029,1 +3997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.405515437,1 +3999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,4.26127924,1 +4000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,4,1,5.399036828,1 +13001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.520501151,1 +13002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.067724251,1 +13003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.217407517,1 +13004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,1.803890136,1 +13005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,8.560516589,1 +13006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.251332949,1 +13007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.217775445,1 +13008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.541162791,1 +13009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.76148654,1 +13012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.273217846,1 +13011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.247032217,1 +13013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.006851806,1 +13010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.91803857,1 +13014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.961345239,1 +13015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.560009155,1 +13016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.342908381,1 +13018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.660955967,1 +13020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.31060878,1 +13019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.880457296,1 +13017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.373620504,1 +13021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.417387061,1 +13024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,1.16089012,1 +13022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.911982595,1 +13025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.844422888,1 +13026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.735343465,1 +13023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.518956249,1 +13027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.865885254,1 +13028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.222161447,1 +13030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.179105673,1 +13031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.900294499,1 +13032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.116303871,1 +13033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.229829649,1 +13029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.684158292,1 +13034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.592339562,1 +13035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.805717281,1 +13036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.364607326,1 +13037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.455261798,1 +13038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.951079374,1 +13039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,0.773330057,1 +13040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.466450896,1 +13041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.328722037,1 +13042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.151452981,1 +13044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.934920688,1 +13043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.601371416,1 +13045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.385942223,1 +13046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.87878976,1 +13048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.910384241,1 +13047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.42619304,1 +13050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.977569261,1 +13049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.500437126,1 +13052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.591596194,1 +13051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.62614011,1 +13053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.731162471,1 +13054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.976745959,1 +13055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.003594321,1 +13056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.847719138,1 +13057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.726942433,1 +13058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.879533001,1 +13059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.009248415,1 +13060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.103402921,1 +13061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.597999449,1 +13062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.338312268,1 +13063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.934202555,1 +13064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.9728497,1 +13065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.963885142,1 +13066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.391904775,1 +13067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.708564356,1 +13069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.594755103,1 +13068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.92873116,1 +13071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.64061583,1 +13070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.177332751,1 +13072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.120546826,1 +13073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.879827812,1 +13074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.154668831,1 +13075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.332596231,1 +13076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.691062102,1 +13077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.187134567,1 +13078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.48175021,1 +13079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.205101945,1 +13080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,9.016781602,1 +13082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,1.30335162,1 +13083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.283536771,1 +13084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.224523122,1 +13081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.209791806,1 +13087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.914929204,1 +13086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.399625982,1 +13085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.266398254,1 +13089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.621855462,1 +13090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,8.428354893,1 +13088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.566505386,1 +13091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.572546083,1 +13092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.258206856,1 +13093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.953648196,1 +13095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.771377805,1 +13096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.785783296,1 +13097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.9615462,1 +13098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.054376665,1 +13094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.705743583,1 +13099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.99442173,1 +13102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.747213133,1 +13101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.444805382,1 +13100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.305147001,1 +13103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.070375073,1 +13105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.022385895,1 +13104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.827652739,1 +13106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.153253934,1 +13107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.367547382,1 +13110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.887587136,1 +13108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.556720861,1 +13111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.242717237,1 +13112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.644645466,1 +13113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.1843058,1 +13114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.956431373,1 +13109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.117445714,1 +13115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.678431155,1 +13116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.6217457,1 +13117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.947252752,1 +13118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.936615288,1 +13120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.491182394,1 +13119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.302803546,1 +13121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.156309701,1 +13122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.519944585,1 +13124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.230721176,1 +13123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.039288441,1 +13125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.788145349,1 +13128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.591740787,1 +13127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.539880915,1 +13129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.084472444,1 +13126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.963012933,1 +13130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.624086892,1 +13131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.135880598,1 +13132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.339506629,1 +13133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.809981897,1 +13135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.937665316,1 +13134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,9.306857946,1 +13136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.46340157,1 +13137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.103892337,1 +13138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.627140289,1 +13139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.912636573,1 +13140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.471625481,1 +13141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.064338572,1 +13142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.469452661,1 +13143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.847840533,1 +13144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.652897806,1 +13147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.561780109,1 +13146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.327693603,1 +13145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.098300112,1 +13148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.040009766,1 +13149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.013523173,1 +13150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.638582607,1 +13151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.20478298,1 +13152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.846633516,1 +13153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.381713869,1 +13154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.26805609,1 +13157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.337316053,1 +13156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.896208976,1 +13158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.813532379,1 +13155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.054577545,1 +13160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.204722758,1 +13159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,9.137398907,1 +13161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.627491646,1 +13162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.441714036,1 +13163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.79372636,1 +13164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.561897553,1 +13165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.679019142,1 +13167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.895515018,1 +13168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.603885332,1 +13169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.703995412,1 +13170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.848551884,1 +13166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.227755653,1 +13171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.663282326,1 +13172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.217700753,1 +13173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.471264832,1 +13175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.22291893,1 +13174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.986009686,1 +13177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.099820655,1 +13176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.504062555,1 +13179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.033040585,1 +13178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.721317453,1 +13180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.222652499,1 +13181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.240966325,1 +13183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,12.12836599,1 +13184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.329647242,1 +13185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.714883863,1 +13186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.945881141,1 +13187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.661546202,1 +13188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.752933733,1 +13182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.31253809,1 +13190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.806642444,1 +13191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.395294548,1 +13189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.626783664,1 +13192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.459277028,1 +13194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.917289645,1 +13193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.830986063,1 +13195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.158263131,1 +13196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.15654737,1 +13197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.138554661,1 +13198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.218763518,1 +13199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.984316337,1 +13201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.931613459,1 +13202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.929508252,1 +13200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.025182844,1 +13203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.473461822,1 +13204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.344631184,1 +13205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.623650394,1 +13207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.97058983,1 +13206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.774835548,1 +13209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,8.19463895,1 +13208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.498539611,1 +13210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.402582661,1 +13211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.971492389,1 +13213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.96861832,1 +13212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.155669777,1 +13214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.158291311,1 +13216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.452951615,1 +13217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.643117462,1 +13215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.256459391,1 +13218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.04681111,1 +13219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.951569274,1 +13220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.986980904,1 +13222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.345055192,1 +13221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.372608989,1 +13224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.106454065,1 +13223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.541121942,1 +13225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.058082951,1 +13226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,1.984180453,1 +13227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.009792456,1 +13228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.73406051,1 +13229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.405650708,1 +13231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.758574258,1 +13230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.426533262,1 +13232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.016421182,1 +13233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.629651222,1 +13234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.417371392,1 +13235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.043168726,1 +13236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.876532133,1 +13237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.979912602,1 +13238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.515462626,1 +13241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,9.901339007,1 +13240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.63232997,1 +13239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.293599877,1 +13242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.780299248,1 +13243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,0.654643826,1 +13244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.644763991,1 +13245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.42464035,1 +13246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.151620907,1 +13249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.237337703,1 +13248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.795156026,1 +13247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.601567244,1 +13250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.918262854,1 +13251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.806192203,1 +13252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.178956617,1 +13253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.93179014,1 +13254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,9.21751,1 +13255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.326644678,1 +13256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.075488493,1 +13258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.591177189,1 +13259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.12376884,1 +13260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.084286221,1 +13261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.69091896,1 +13257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.155297243,1 +13262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,1.665725048,1 +13263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.795389228,1 +13264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.658826606,1 +13265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.120735354,1 +13266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.646916651,1 +13267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.218530666,1 +13268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.017445959,1 +13269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.716966214,1 +13271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.547385396,1 +13270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.575081179,1 +13272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.231019467,1 +13274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.349619278,1 +13275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.683037198,1 +13276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.541673467,1 +13277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.578505359,1 +13278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.236141959,1 +13279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.05172579,1 +13273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.113909564,1 +13280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.069480856,1 +13281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.803804036,1 +13282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.775953199,1 +13284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.963051383,1 +13283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.709765065,1 +13286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.287609581,1 +13285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.703177466,1 +13287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.503018884,1 +13288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.24327071,1 +13289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.928452961,1 +13290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.43491706,1 +13291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.328658215,1 +13294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.719767732,1 +13293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.095107767,1 +13295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,9.276440413,1 +13296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.700121266,1 +13297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.637148916,1 +13298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.744301501,1 +13292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.731743903,1 +13300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.213276279,1 +13299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.152370082,1 +13302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.445631771,1 +13301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.667543526,1 +13303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.188164137,1 +13305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.028564813,1 +13304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.38028073,1 +13306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.69299466,1 +13307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.017745148,1 +13309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.183531133,1 +13310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.024611438,1 +13308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.384369413,1 +13311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.347301578,1 +13312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.522062371,1 +13313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.176449285,1 +13314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.132516001,1 +13315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.03190178,1 +13316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.190365558,1 +13317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.406888296,1 +13318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.260457623,1 +13319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,1.025653623,1 +13320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,8.536251864,1 +13321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.793705547,1 +13322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.049834253,1 +13323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.462736926,1 +13324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.836299251,1 +13325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.095242471,1 +13326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.009569295,1 +13327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.948768871,1 +13328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.691135372,1 +13329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.300892933,1 +13332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.921206805,1 +13330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.784146244,1 +13331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.049945491,1 +13333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.84883624,1 +13334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.084001738,1 +13335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.129229692,1 +13336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.470287712,1 +13337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.644602257,1 +13338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.98842797,1 +13339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.994539917,1 +13340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.713213951,1 +13341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.695108598,1 +13342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.297094093,1 +13343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.231544753,1 +13344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.139267352,1 +13345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.880373889,1 +13346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.116154827,1 +13348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.534412069,1 +13347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.991857675,1 +13349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.229180721,1 +13351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.543583061,1 +13350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.885518322,1 +13352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.694429752,1 +13355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,10.32509332,1 +13354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.167440348,1 +13353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.251328235,1 +13358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.483211133,1 +13356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.51458269,1 +13357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.108455301,1 +13361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.891704708,1 +13359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.864513537,1 +13360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.64949762,1 +13362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.376851454,1 +13364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.233812832,1 +13363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,1.853243294,1 +13365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.925075743,1 +13366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.521253784,1 +13368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.272332138,1 +13370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.304493362,1 +13369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,9.462760891,1 +13367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,1.360763006,1 +13371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.766444535,1 +13372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.90834998,1 +13373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.915999142,1 +13374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.110627593,1 +13375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.249178763,1 +13376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.205811099,1 +13377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.742422908,1 +13378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.499310327,1 +13380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.971653785,1 +13379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.388921484,1 +13381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.158109366,1 +13382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.40364052,1 +13383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.259414826,1 +13384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.047625608,1 +13385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.424279793,1 +13387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.371730856,1 +13389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.284731214,1 +13388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.65444417,1 +13390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.23635307,1 +13386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.658817525,1 +13391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.090484263,1 +13393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,8.074594845,1 +13392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.312256167,1 +13394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.272560014,1 +13395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.026963641,1 +13396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.647561614,1 +13398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.861617378,1 +13397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.684356648,1 +13399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.320143591,1 +13400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.586346391,1 +13401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.634588442,1 +13403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.728558212,1 +13402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.339075881,1 +13405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.612789436,1 +13407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.319946267,1 +13404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.577955403,1 +13406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.727524073,1 +13408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.066808937,1 +13410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,10.01186635,1 +13409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.676535696,1 +13411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.380661964,1 +13412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.300068944,1 +13413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.010631633,1 +13414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.608867142,1 +13415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,1.506951258,1 +13416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.662331825,1 +13417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.544769791,1 +13418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.858913514,1 +13419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.582935762,1 +13420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.054951559,1 +13422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.722704035,1 +13421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.016009605,1 +13424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.368910519,1 +13423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.13445104,1 +13426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.892375014,1 +13428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.571829615,1 +13427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.745649065,1 +13429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.709423858,1 +13425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.77056351,1 +13430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.380712066,1 +13431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.536059198,1 +13432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,1.67805094,1 +13434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.873518862,1 +13433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.640530125,1 +13435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.27587761,1 +13438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.274074671,1 +13436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,1.683147596,1 +13439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.2745622,1 +13437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.38844074,1 +13440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.897806305,1 +13441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.450237455,1 +13442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.446022162,1 +13443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.34287759,1 +13445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.193375004,1 +13446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.381660169,1 +13447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.944502631,1 +13448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.075498491,1 +13449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.967290684,1 +13444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.367189933,1 +13450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.561435512,1 +13451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,10.35508923,1 +13452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.626587061,1 +13453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.262096463,1 +13454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.306004884,1 +13455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.085629668,1 +13456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.221258938,1 +13457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.504470008,1 +13458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.396460005,1 +13459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.568818786,1 +13460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.557887211,1 +13462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.148363631,1 +13461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.607941251,1 +13463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.516004956,1 +13464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.250330306,1 +13465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.664804955,1 +13467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.108516994,1 +13468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.958895407,1 +13469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.625478845,1 +13466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.957575702,1 +13473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.767027349,1 +13471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.270527846,1 +13470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.452180529,1 +13472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.851124517,1 +13475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.069996287,1 +13477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.08889109,1 +13476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.609222594,1 +13474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.020801841,1 +13479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.124203102,1 +13478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.566353016,1 +13480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.060034251,1 +13481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.040660491,1 +13482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.531843888,1 +13483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.51433788,1 +13484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.151678977,1 +13487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.820457026,1 +13486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.443521984,1 +13488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.364347383,1 +13485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.794413802,1 +13490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.54057825,1 +13489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.977660329,1 +13491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.116896625,1 +13492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.16559956,1 +13493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.965214481,1 +13495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.433504792,1 +13494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,8.104893538,1 +13496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.592824036,1 +13497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.302364969,1 +13498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.585714575,1 +13499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.213097532,1 +13500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.563689395,1 +13501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.315808801,1 +13502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,1.772058473,1 +13504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,8.370606855,1 +13505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.743536056,1 +13506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.019666105,1 +13508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.092195511,1 +13503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.545117409,1 +13509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.535209747,1 +13507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.927068494,1 +13510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.478007568,1 +13512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.35705666,1 +13513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.489308381,1 +13511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.979021681,1 +13514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.612764166,1 +13515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.706136796,1 +13517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.040509393,1 +13516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.637137552,1 +13518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.180775378,1 +13520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.007651944,1 +13519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.258471636,1 +13521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.410522363,1 +13522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.363909245,1 +13524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,8.71147884,1 +13526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,8.030750409,1 +13525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,8.141583161,1 +13527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,8.112792007,1 +13523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,1.902603059,1 +13528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.226480894,1 +13529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,8.305048147,1 +13531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.407147719,1 +13530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.500455949,1 +13532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.721957203,1 +13533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.757149194,1 +13534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.166882599,1 +13535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.249974972,1 +13536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.386368185,1 +13537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.447731325,1 +13538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.521883396,1 +13539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,1.001121979,1 +13540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.271061566,1 +13543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.102263278,1 +13541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.82899894,1 +13542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.734839488,1 +13544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.574791368,1 +13546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,1.99027255,1 +13545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.280502882,1 +13548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.769072195,1 +13547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.817296836,1 +13550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.181949128,1 +13551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.237137889,1 +13552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.061044411,1 +13549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.885343519,1 +13553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.293780147,1 +13555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.282861836,1 +13554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.618088447,1 +13556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.971833826,1 +13558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.319475829,1 +13557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.126367665,1 +13560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.972287434,1 +13559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.404754271,1 +13561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.619852169,1 +13562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.759903229,1 +13564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.782138977,1 +13563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,1.066056139,1 +13565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.371451516,1 +13566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.583960461,1 +13567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.739348744,1 +13569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.959444067,1 +13570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.401565434,1 +13571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.783008195,1 +13572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.082308961,1 +13573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.298716614,1 +13568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.083299871,1 +13575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.672612409,1 +13574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.528806473,1 +13577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.100793636,1 +13576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,11.8648295,1 +13579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.641947932,1 +13578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.21058244,1 +13581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.899367054,1 +13580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.153373431,1 +13583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.334446051,1 +13582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.492077399,1 +13584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.818792384,1 +13586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.313206852,1 +13587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.110005531,1 +13588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.813411448,1 +13589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.013144836,1 +13585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.635134091,1 +13590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,1.512626177,1 +13591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.70476224,1 +13592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.374928789,1 +13595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.925528712,1 +13594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.127665576,1 +13593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.203797245,1 +13598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.719907038,1 +13597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.426286669,1 +13596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.122782147,1 +13599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.268256506,1 +13601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.39737793,1 +13600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.437605678,1 +13602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.453846011,1 +13603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.313584645,1 +13605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.333714996,1 +13604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.272453012,1 +13607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.686581794,1 +13606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.950101588,1 +13608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.621059362,1 +13610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.441558178,1 +13611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.960662348,1 +13609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.199893114,1 +13612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.40937434,1 +13613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.07692781,1 +13614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.885147994,1 +13615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.00968397,1 +13616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.14116415,1 +13617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.335405123,1 +13619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.360448516,1 +13618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.184674694,1 +13620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.051052847,1 +13621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.866805317,1 +13623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.443052083,1 +13624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.149634395,1 +13622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,1.467678293,1 +13626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.870496532,1 +13627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.029480816,1 +13625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.420062471,1 +13628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.129676688,1 +13629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,8.33602086,1 +13630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.502843637,1 +13632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.080247675,1 +13633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.087758363,1 +13631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.650378406,1 +13634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.246158361,1 +13635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.011799149,1 +13637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.59105007,1 +13636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.021550565,1 +13638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.676471129,1 +13640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.888417674,1 +13639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.595738351,1 +13641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.247853215,1 +13642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,8.675057324,1 +13643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.65390631,1 +13644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,9.197672639,1 +13645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.670868774,1 +13647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.797959638,1 +13648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.307522888,1 +13649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.157602742,1 +13650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.847580815,1 +13652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.80651668,1 +13651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.159814527,1 +13646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.864617302,1 +13656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.133677574,1 +13653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.455658434,1 +13654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,1.969579169,1 +13655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.867006163,1 +13658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.842566425,1 +13657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.531258778,1 +13660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.492735122,1 +13659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,10.74631319,1 +13661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.118145919,1 +13662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.246028462,1 +13663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.396733799,1 +13664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.963150994,1 +13665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.800058978,1 +13667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.960479259,1 +13668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.791669596,1 +13666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.661662901,1 +13669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.243082333,1 +13670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.160142954,1 +13671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.58378527,1 +13672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.561084339,1 +13673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.839208889,1 +13674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.245250285,1 +13675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.861549946,1 +13676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.252392465,1 +13677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.451066569,1 +13678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.996975664,1 +13681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.933568438,1 +13680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.805342561,1 +13679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.391998674,1 +13682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.903971699,1 +13685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.08226568,1 +13684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.745653467,1 +13683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.097869083,1 +13686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.418017325,1 +13688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.443786941,1 +13687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.258558102,1 +13689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.216141174,1 +13690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.871223952,1 +13691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.461365966,1 +13693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.483791996,1 +13694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.978808289,1 +13692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.774521303,1 +13695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.877449648,1 +13696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.960949964,1 +13697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.021741482,1 +13698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.491411974,1 +13699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.683039185,1 +13702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.396122062,1 +13700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.69307184,1 +13701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.738209505,1 +13703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.405384988,1 +13705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.796532934,1 +13706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.176389212,1 +13704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.094615718,1 +13707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.623423403,1 +13709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.820323916,1 +13708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.591077691,1 +13711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.049061617,1 +13710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.66837604,1 +13712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.052575142,1 +13713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.627583433,1 +13714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,1.665433566,1 +13715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.843945734,1 +13716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.211988206,1 +13717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.551519203,1 +13718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.928307095,1 +13720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.21592497,1 +13721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.883429454,1 +13722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.30911604,1 +13723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,8.074061926,1 +13724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,1.864180067,1 +13719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.08559505,1 +13725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.157646687,1 +13726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.421908468,1 +13728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.453074393,1 +13727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.092742487,1 +13729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.731956516,1 +13733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.574436962,1 +13730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.56883155,1 +13732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.208377807,1 +13731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.737230144,1 +13734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.406515962,1 +13735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.326999466,1 +13736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.020355726,1 +13737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.008332374,1 +13738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.647141288,1 +13739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.94599762,1 +13741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.235402711,1 +13740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.983750231,1 +13742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,9.096928184,1 +13743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.54599724,1 +13744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.096678943,1 +13747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.902630822,1 +13745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.525973238,1 +13748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.522961417,1 +13746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,0.969264543,1 +13750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.806136368,1 +13749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.963021958,1 +13751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.17098568,1 +13752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.562964425,1 +13753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.829126928,1 +13754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.54757519,1 +13756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.221881057,1 +13757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.869887967,1 +13758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.785026384,1 +13759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.71528944,1 +13760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.927028146,1 +13761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,0.909267754,1 +13755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.305917608,1 +13762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.860666858,1 +13764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.851601996,1 +13763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.102935898,1 +13765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.610236092,1 +13766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.861804078,1 +13767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.934405216,1 +13768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.133256985,1 +13769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.256467014,1 +13770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.993243524,1 +13772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.81352789,1 +13771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.514236407,1 +13773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,1.09915443,1 +13774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.622732741,1 +13775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.182754595,1 +13776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.840490029,1 +13778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.0350266,1 +13779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,8.193573107,1 +13780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.873558453,1 +13777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.991560201,1 +13781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.622492721,1 +13782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.317381352,1 +13783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.395817799,1 +13784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.169775299,1 +13785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.007478713,1 +13786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.200063221,1 +13787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.401737227,1 +13788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.170750027,1 +13789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.651847322,1 +13790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.374566952,1 +13791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.837227359,1 +13792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.814932471,1 +13793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.329891602,1 +13794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.52035677,1 +13795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.685964118,1 +13797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.342804875,1 +13798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.586004942,1 +13799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.49172214,1 +13800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.514737145,1 +13796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.126386017,1 +13801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.263644977,1 +13802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.817274748,1 +13803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.390303435,1 +13806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.313183747,1 +13805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.303767924,1 +13804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.343788859,1 +13807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.955662833,1 +13808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.001781603,1 +13810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.231308781,1 +13809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.515487901,1 +13811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.137127938,1 +13812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,0.838514855,1 +13813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.087168473,1 +13815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.952274028,1 +13816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.284110747,1 +13817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.245696939,1 +13814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.989600988,1 +13818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.300516722,1 +13819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.675485298,1 +13822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.552052502,1 +13820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.539897006,1 +13821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.13764485,1 +13823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.154336206,1 +13825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.142608875,1 +13824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.912178563,1 +13826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.82368149,1 +13827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.49067751,1 +13829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.955098494,1 +13828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.226305922,1 +13830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.960625968,1 +13831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.605370957,1 +13832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.271868814,1 +13833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.757823732,1 +13836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.31470279,1 +13835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.223432849,1 +13837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.456452728,1 +13834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.365903681,1 +13839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.742860419,1 +13838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.80694187,1 +13840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.64926069,1 +13841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.461788342,1 +13842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.152219779,1 +13843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.785978297,1 +13844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.667077208,1 +13845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.854389542,1 +13846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.711797263,1 +13847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.809218508,1 +13848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.74095476,1 +13850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.929728325,1 +13849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.366223867,1 +13851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.49458505,1 +13852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.283159115,1 +13855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.383348183,1 +13853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.440373198,1 +13854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.924323947,1 +13856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.246548257,1 +13857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.43303676,1 +13858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.341585997,1 +13860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.478421458,1 +13859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.059307463,1 +13861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.508156551,1 +13863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.180811777,1 +13862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.048350762,1 +13864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.116233581,1 +13866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.197212851,1 +13865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.235164796,1 +13867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.303029813,1 +13868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.411133471,1 +13870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.562070248,1 +13869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.310812034,1 +13871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.044871606,1 +13873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.851389283,1 +13874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.063541103,1 +13875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.908181298,1 +13876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.886261245,1 +13878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.188310673,1 +13877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.090581603,1 +13879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.522396246,1 +13881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.85554306,1 +13880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.478348485,1 +13872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.0706216,1 +13883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.142698939,1 +13885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.078133097,1 +13884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.173332815,1 +13882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.278548618,1 +13886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.356244842,1 +13887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.129492791,1 +13888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.452780741,1 +13889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.038733018,1 +13890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.551518807,1 +13891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.971546518,1 +13892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.692252023,1 +13893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.79095905,1 +13894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.889196712,1 +13896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.533959212,1 +13897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.396018481,1 +13898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.54309994,1 +13895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.3177393,1 +13900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.184019551,1 +13902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.161131899,1 +13899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.09580784,1 +13901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.023062477,1 +13904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.158866205,1 +13903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.01302435,1 +13905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.43826612,1 +13906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.943505733,1 +13907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.874799924,1 +13909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.505512625,1 +13908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.259869437,1 +13910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.891389315,1 +13912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.991931295,1 +13914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.838773181,1 +13913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.246362005,1 +13911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.917746651,1 +13915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,1.467672406,1 +13916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.507104987,1 +13917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.273061597,1 +13918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.520417381,1 +13919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.924653062,1 +13920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,9.953353842,1 +13922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,8.667791905,1 +13921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.993818399,1 +13923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.396031557,1 +13924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.433961758,1 +13925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.696862388,1 +13926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.169022947,1 +13927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.131612286,1 +13928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.477006549,1 +13930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.715792934,1 +13929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.044165274,1 +13931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.89890758,1 +13933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.579902541,1 +13932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.535833269,1 +13934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.791963656,1 +13935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.796896265,1 +13937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.425297198,1 +13936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.036216972,1 +13938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.366317421,1 +13939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.357444022,1 +13940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.38324804,1 +13941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.159758215,1 +13942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.818544282,1 +13943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.108072524,1 +13944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.927753458,1 +13946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.902550045,1 +13945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.355296335,1 +13947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.125434409,1 +13948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.274029312,1 +13950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.898284481,1 +13951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.349728619,1 +13949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.777570287,1 +13952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.726445894,1 +13953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.733108653,1 +13954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.642337031,1 +13955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,1.407765241,1 +13957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.945019559,1 +13956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.2737265,1 +13958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.326866405,1 +13959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,8.919464539,1 +13960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.172223534,1 +13961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.335027042,1 +13963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.652127621,1 +13962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.473224395,1 +13964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.542852524,1 +13965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.413226825,1 +13967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.961903968,1 +13968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.641455781,1 +13969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.588811723,1 +13966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.0679244,1 +13970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.79450648,1 +13971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.017275338,1 +13972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.068623587,1 +13974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.901884458,1 +13975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.747807019,1 +13973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,2.575026459,1 +13976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.481288464,1 +13979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.473328005,1 +13977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.615444656,1 +13980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.223938529,1 +13978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.285074738,1 +13982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.978824477,1 +13984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.526547278,1 +13981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.546960934,1 +13986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.150137275,1 +13985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.974219222,1 +13983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.598656293,1 +13988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.127408194,1 +13989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.483013929,1 +13990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.946187215,1 +13987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,3.301744032,1 +13993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,5.378288768,1 +13992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.449383496,1 +13991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.485378117,1 +13994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.518119453,1 +13995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,6.619263695,1 +13996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.228490004,1 +13997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,4.082874775,1 +13998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,8.657946731,1 +14000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,8.187571163,1 +13999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,4,1,7.952666111,1 +23001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.441546972,1 +23002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.938307667,1 +23003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.619452896,1 +23004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.831055682,1 +23005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.315596599,1 +23006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.671678825,1 +23007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.020658834,1 +23008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.088761899,1 +23009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.901658983,1 +23010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.871713844,1 +23011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.438635314,1 +23013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.208333087,1 +23014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.784102368,1 +23015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.289061909,1 +23012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.887854833,1 +23016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.619656805,1 +23017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.408171189,1 +23018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.903884297,1 +23019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.392390456,1 +23020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,0.981881311,1 +23021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.217104814,1 +23022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.880999756,1 +23023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.063854528,1 +23024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.963623031,1 +23025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.322240978,1 +23026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.30475133,1 +23027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.038669867,1 +23028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,1.91747287,1 +23030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.108599647,1 +23029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.763361157,1 +23032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.500786293,1 +23034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.913962559,1 +23031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.300421765,1 +23033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.291657392,1 +23035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.585747173,1 +23036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.064268225,1 +23037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.786299121,1 +23038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.322838558,1 +23039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.429953133,1 +23040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.2978664,1 +23042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.732046774,1 +23041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.312480408,1 +23043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.391645387,1 +23044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.810156942,1 +23045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.833450705,1 +23048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.729956099,1 +23046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.96240913,1 +23047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,1.843636,1 +23049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.580767932,1 +23050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.57647068,1 +23051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.6731339,1 +23052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.455389046,1 +23053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.382021359,1 +23054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.277742691,1 +23056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.576453833,1 +23055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.003703626,1 +23057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.196582897,1 +23058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.52105878,1 +23059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,10.77596095,1 +23061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.313357799,1 +23060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.544107276,1 +23062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.075765555,1 +23063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.305396078,1 +23064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.890211509,1 +23065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.639396959,1 +23066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.84725768,1 +23067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.959172566,1 +23068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.404384445,1 +23069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.99543261,1 +23070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.82934668,1 +23072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.341030307,1 +23071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.411985956,1 +23073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.450182915,1 +23074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.353167937,1 +23075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.988259993,1 +23076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.493869238,1 +23078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.010233344,1 +23079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.243301104,1 +23077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.137837445,1 +23080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.715210716,1 +23081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.423309358,1 +23082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.996045339,1 +23084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.474275814,1 +23085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.430234702,1 +23086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.829913377,1 +23087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.244721197,1 +23083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.148414634,1 +23088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.807609489,1 +23089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.413085748,1 +23090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.767708326,1 +23092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.834722604,1 +23091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.589093032,1 +23093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.602800758,1 +23094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.272788295,1 +23096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.49039258,1 +23097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.399740151,1 +23095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.898131834,1 +23098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.414517069,1 +23099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.610975624,1 +23100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.164731301,1 +23101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.029793792,1 +23102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,8.618695532,1 +23103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.878211942,1 +23104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.419201235,1 +23105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.892244226,1 +23106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.03237945,1 +23108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.173673542,1 +23107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.987218491,1 +23109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.641461724,1 +23110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.634369613,1 +23112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.273627658,1 +23111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.533997484,1 +23113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.620414146,1 +23114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.360911586,1 +23115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.316892773,1 +23116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.230249824,1 +23117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.304387612,1 +23120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.592787405,1 +23121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.521372612,1 +23118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.315162908,1 +23119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.457640559,1 +23122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.031906946,1 +23124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.41050319,1 +23123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.722421087,1 +23126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.387618017,1 +23127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.308736169,1 +23125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.549083548,1 +23128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.604546397,1 +23129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.199738562,1 +23130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.898703153,1 +23132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.568911584,1 +23131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.635676929,1 +23134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.687505658,1 +23133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.393982243,1 +23135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.91578027,1 +23136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.517530646,1 +23137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.489230612,1 +23138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.733287601,1 +23139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.155613452,1 +23142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,8.230039668,1 +23141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.535582414,1 +23140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.050707596,1 +23143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.060298976,1 +23145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.575290698,1 +23144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.404138181,1 +23147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.476960734,1 +23146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.599307148,1 +23148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.719214772,1 +23149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.753327575,1 +23150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,8.104335029,1 +23151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.260522804,1 +23152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.614362159,1 +23153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,9.002739161,1 +23154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.458318138,1 +23155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.131779796,1 +23157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.87577198,1 +23156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.064799891,1 +23158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.080430295,1 +23160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.406270794,1 +23161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.108929219,1 +23162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.864426002,1 +23163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.408891111,1 +23164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.874924794,1 +23159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.872217349,1 +23165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.339239349,1 +23166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.806506628,1 +23167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.817007711,1 +23169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.380304437,1 +23168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.678105313,1 +23170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.263486403,1 +23171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.434789188,1 +23172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.592506668,1 +23173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.285762468,1 +23174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.214503915,1 +23175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.806120385,1 +23177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.969100348,1 +23178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.368603456,1 +23179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.973260322,1 +23180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.078682125,1 +23181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.911662107,1 +23182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.853080942,1 +23183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,8.061766285,1 +23176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.9373671,1 +23184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.416976011,1 +23185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.110285027,1 +23187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.467855257,1 +23186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.198308466,1 +23188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.148107509,1 +23189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.238836839,1 +23190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.366627078,1 +23191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.619993837,1 +23192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.984461881,1 +23193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.391118363,1 +23194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.966338533,1 +23195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.287828512,1 +23196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.982869626,1 +23197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.129985253,1 +23199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.672082797,1 +23201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.058557409,1 +23200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.580219925,1 +23198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.072677833,1 +23202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.569708919,1 +23204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.303000526,1 +23203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.146840014,1 +23205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.407638274,1 +23206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.207750138,1 +23207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.653522385,1 +23209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.135317346,1 +23208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.030457346,1 +23211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.604671703,1 +23210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.224698643,1 +23213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.061083195,1 +23215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.117398505,1 +23212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.571900598,1 +23214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.386317002,1 +23216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.378579566,1 +23218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.441877305,1 +23217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.433418982,1 +23220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.458072729,1 +23219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.759557129,1 +23221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.556500062,1 +23222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,10.66685311,1 +23223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.559318565,1 +23224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.164293108,1 +23225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.576994756,1 +23226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.721000937,1 +23227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.258969335,1 +23228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.107937943,1 +23229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.872314073,1 +23230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.084424836,1 +23232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.740562999,1 +23233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.946844108,1 +23231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.76770208,1 +23234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.121928601,1 +23235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.589925298,1 +23236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.794095817,1 +23237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.306485179,1 +23238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.024581877,1 +23239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,8.489405245,1 +23240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.415249327,1 +23241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.774706377,1 +23242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.994305087,1 +23243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.005373471,1 +23244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.039459204,1 +23245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.679093594,1 +23246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.979767494,1 +23247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.885331998,1 +23248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.747718585,1 +23250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.026533806,1 +23249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,1.808414716,1 +23251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.992215951,1 +23253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.448023034,1 +23254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.828653523,1 +23255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.492670034,1 +23252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.006598911,1 +23256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.887050917,1 +23258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.436506901,1 +23257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.528712178,1 +23260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.699382629,1 +23261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.177762737,1 +23259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.858616367,1 +23262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.035592524,1 +23263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.871361098,1 +23264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.625997922,1 +23265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.371235224,1 +23266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.197567058,1 +23267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.807881027,1 +23268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.159797806,1 +23269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.984827114,1 +23270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.639500467,1 +23271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.784227796,1 +23272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.895291131,1 +23274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.545444525,1 +23275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.894936311,1 +23276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,1.45431976,1 +23273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.106702242,1 +23277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.083172192,1 +23280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.406328577,1 +23278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.64851598,1 +23279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.778509311,1 +23281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.005526211,1 +23282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.937359416,1 +23284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.162207471,1 +23283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.823500044,1 +23285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.235073737,1 +23286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.4710491,1 +23287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.832472982,1 +23288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.243272924,1 +23289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.883303361,1 +23291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.117945458,1 +23292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.009893251,1 +23290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.925118161,1 +23293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.957153598,1 +23294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.124541314,1 +23295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.773151243,1 +23296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.7450994,1 +23297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.767273211,1 +23299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.861956975,1 +23298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.252704979,1 +23300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.72664254,1 +23302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.581865413,1 +23303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.461432166,1 +23301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.266225028,1 +23304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.026568902,1 +23305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.261284927,1 +23306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.921825182,1 +23307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.157955479,1 +23309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.293415761,1 +23308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.87907493,1 +23310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.522171081,1 +23312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.2476767,1 +23313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.329977028,1 +23314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.157290018,1 +23311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,8.32016363,1 +23315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.8247555,1 +23316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.466887809,1 +23317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.556565559,1 +23319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.351289678,1 +23320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.792802681,1 +23318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.686415489,1 +23321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.230323767,1 +23324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.347594721,1 +23323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.8638524,1 +23322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.95022829,1 +23325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.032041382,1 +23326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.58626768,1 +23327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.585692168,1 +23328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.226321795,1 +23329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.575715874,1 +23331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.898692669,1 +23332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.335706697,1 +23333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.733352822,1 +23334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.44282381,1 +23336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.655775043,1 +23335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.946175044,1 +23330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.472314474,1 +23337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.912288503,1 +23338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.707374906,1 +23339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.480237886,1 +23340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.35393063,1 +23341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.033004758,1 +23343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.215696904,1 +23342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.243335417,1 +23344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.218825567,1 +23345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.222801542,1 +23347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.845578808,1 +23346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.368171102,1 +23348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.921726253,1 +23349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.300291681,1 +23350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.188655061,1 +23351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.645836869,1 +23353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.294108552,1 +23354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.0936597,1 +23355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.296264067,1 +23352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.791891821,1 +23356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.511156286,1 +23357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.411096063,1 +23358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.008035666,1 +23361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.430140983,1 +23360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.322496375,1 +23359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.409959415,1 +23362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.152530471,1 +23364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.251066003,1 +23363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.051526692,1 +23365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.107761607,1 +23366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.289141943,1 +23368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.547918994,1 +23367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.926601146,1 +23370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.750162916,1 +23371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.724365022,1 +23372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.396596376,1 +23369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.484059464,1 +23373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.285292885,1 +23374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.316891525,1 +23375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,8.22428304,1 +23376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.46422864,1 +23377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.977178688,1 +23378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.71034288,1 +23379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.77364676,1 +23380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.446188641,1 +23381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.615294814,1 +23382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.324351765,1 +23383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.206590556,1 +23384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.066428936,1 +23385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.168652932,1 +23386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.455669012,1 +23387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.921521733,1 +23389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.635814309,1 +23388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.194944579,1 +23390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.929123099,1 +23391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.016980844,1 +23392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.233228746,1 +23393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.70605252,1 +23394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,8.206183914,1 +23396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.341047205,1 +23395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.63096279,1 +23397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.590787473,1 +23398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.019411226,1 +23400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.652376779,1 +23399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.261590996,1 +23401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.200866026,1 +23402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.594296049,1 +23404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.722055635,1 +23405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.294260765,1 +23406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.428384886,1 +23403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.509626085,1 +23407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.490297876,1 +23408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.738841572,1 +23409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.225610222,1 +23411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.246650719,1 +23412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.087807391,1 +23413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.693442052,1 +23415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.690810723,1 +23416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.241141393,1 +23410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.79798977,1 +23414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,1.936059737,1 +23419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.479296709,1 +23418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.933511077,1 +23417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.471776966,1 +23420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.886945311,1 +23421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.160394317,1 +23422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.083339756,1 +23423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.070883868,1 +23424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.457885159,1 +23426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.632320865,1 +23427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.749862434,1 +23428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,1.803086594,1 +23429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.984652776,1 +23430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.724917754,1 +23425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.543443533,1 +23431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.469485253,1 +23434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.943899744,1 +23432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.338632959,1 +23433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.265433198,1 +23435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.642951314,1 +23436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.185821418,1 +23437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.9653228,1 +23438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.903533628,1 +23440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.309182696,1 +23439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.916282326,1 +23441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.51444911,1 +23442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.494474714,1 +23444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.042823642,1 +23445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.286956069,1 +23443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.282341454,1 +23446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.233178719,1 +23447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.901665801,1 +23449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.828837175,1 +23448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,8.956464828,1 +23450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.929214415,1 +23452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.356682606,1 +23451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.040547325,1 +23453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.365261088,1 +23454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.071075925,1 +23455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.509327521,1 +23458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.056145444,1 +23457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.938482971,1 +23456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.691275127,1 +23459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.623434979,1 +23460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.891962689,1 +23461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.331606224,1 +23462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.502568968,1 +23464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.133609254,1 +23465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.93176813,1 +23463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.144873132,1 +23468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.271669065,1 +23467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.647221844,1 +23469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.695450158,1 +23466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.717735933,1 +23471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.135720554,1 +23470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.927839259,1 +23472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.270751122,1 +23474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.355656028,1 +23475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.910655842,1 +23473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.283093919,1 +23476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.435765926,1 +23478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.229830405,1 +23477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.231276438,1 +23479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.022102144,1 +23480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.039157367,1 +23482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.285530707,1 +23481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.700455292,1 +23484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.958304667,1 +23483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.73110259,1 +23486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.859888709,1 +23485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.283062188,1 +23489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.853428187,1 +23488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.520949669,1 +23490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.149468694,1 +23487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.962056345,1 +23493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.51798898,1 +23492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.06497904,1 +23491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.386789095,1 +23494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.527375244,1 +23495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.605846727,1 +23496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.940937207,1 +23497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.400040793,1 +23498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.975541923,1 +23499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.708226632,1 +23500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.732422601,1 +23501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.711247212,1 +23502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.576108256,1 +23503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.546794009,1 +23505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.074846306,1 +23504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.291819158,1 +23508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.857093735,1 +23507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.010874882,1 +23509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.061081966,1 +23506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.847257983,1 +23510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.450014459,1 +23512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.846446617,1 +23511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.508720591,1 +23514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.342032589,1 +23516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.757205433,1 +23513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.046432194,1 +23515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.124196524,1 +23517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.589135405,1 +23519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.295261166,1 +23518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.80050258,1 +23520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.693075071,1 +23521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.519133574,1 +23523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,1.168960271,1 +23522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.43457248,1 +23524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.164816734,1 +23525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.997178058,1 +23528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.121141471,1 +23526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.337193092,1 +23527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.380864722,1 +23529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.587236883,1 +23530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.470275611,1 +23531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.005783249,1 +23532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.016978621,1 +23533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.328507398,1 +23534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.244212223,1 +23535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,10.02717022,1 +23536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.301404042,1 +23537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.34482787,1 +23538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.774158295,1 +23539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.456490511,1 +23541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.904389636,1 +23542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,0.852154074,1 +23540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.181928637,1 +23543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.73565872,1 +23545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.894694238,1 +23544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.802462414,1 +23546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,1.448762766,1 +23548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.01034247,1 +23549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.314115502,1 +23550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.356051109,1 +23551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.823488553,1 +23547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.115761121,1 +23552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.236264916,1 +23553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.906157996,1 +23556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.168838348,1 +23555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.57644265,1 +23554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.048424744,1 +23559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.264458832,1 +23557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.605292713,1 +23558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.218134064,1 +23560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,8.024456274,1 +23562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,8.15627521,1 +23563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.267497458,1 +23564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.518999156,1 +23566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.526551061,1 +23565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.227050846,1 +23561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.275349203,1 +23567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.390387216,1 +23568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.880944551,1 +23570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.263205261,1 +23569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.036505183,1 +23571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.196998779,1 +23573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.994148646,1 +23572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.313507384,1 +23575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.084933956,1 +23576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.528731024,1 +23577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.372151769,1 +23578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.276133084,1 +23574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.842923657,1 +23580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.615933001,1 +23581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.304909446,1 +23582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.885340615,1 +23583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.530029961,1 +23579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.413954307,1 +23584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.703996075,1 +23585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.112876751,1 +23587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.901751977,1 +23586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.273925187,1 +23588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.503814333,1 +23590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.588803753,1 +23591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.10384807,1 +23589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.143950334,1 +23592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.866210191,1 +23593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.772573513,1 +23594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.876473644,1 +23596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.210964624,1 +23595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.829437053,1 +23598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.853029098,1 +23599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.937394033,1 +23597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,10.10416298,1 +23601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.535997249,1 +23600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.553949274,1 +23603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.205007263,1 +23602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.740233182,1 +23604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.62140509,1 +23605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.775290687,1 +23606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,1.818841684,1 +23608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.46988871,1 +23607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.525782112,1 +23610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.420722576,1 +23611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.1246422,1 +23612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.545872703,1 +23609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.837559898,1 +23615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.351489496,1 +23614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.423961226,1 +23613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.432396093,1 +23616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.315434679,1 +23617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.670488043,1 +23619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.509310162,1 +23618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.771428837,1 +23620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.533091278,1 +23621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.399207804,1 +23622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.339869248,1 +23623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.334115854,1 +23624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.751813403,1 +23626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.874594334,1 +23625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.267985675,1 +23627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.662514015,1 +23630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.723797469,1 +23629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.417446973,1 +23631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.017496648,1 +23628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.484236494,1 +23632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.632465319,1 +23633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.243775279,1 +23635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.222451588,1 +23634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.469915332,1 +23637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.560857852,1 +23636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,8.648881377,1 +23638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,8.07872404,1 +23639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.115912109,1 +23640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.390264493,1 +23641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.498224342,1 +23642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.804080889,1 +23643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.794807887,1 +23644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.62826985,1 +23645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.831053681,1 +23648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.5175137,1 +23647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.579364562,1 +23649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.987962285,1 +23646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.373828512,1 +23650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.557579494,1 +23651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.909574699,1 +23652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.034762975,1 +23653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.130234604,1 +23654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.40661528,1 +23655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,8.248664168,1 +23657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.586018029,1 +23656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.227856842,1 +23658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.560914349,1 +23659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.731682602,1 +23662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.395467132,1 +23661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.831869514,1 +23660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.91171694,1 +23663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.583359662,1 +23665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.704334841,1 +23664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,1.840056085,1 +23666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.817248889,1 +23667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.56073168,1 +23668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.91198436,1 +23669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.69032574,1 +23670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.889743261,1 +23672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.320413505,1 +23671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.903174067,1 +23673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.5148986,1 +23676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.07641579,1 +23675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.291063717,1 +23677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.591199087,1 +23674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.921793277,1 +23678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.333171424,1 +23679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.595955546,1 +23680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.608944428,1 +23681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.34749919,1 +23682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.257450412,1 +23683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.662295762,1 +23684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.953158534,1 +23685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.127699936,1 +23686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.928051005,1 +23687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.032652159,1 +23688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.665191534,1 +23690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.691663395,1 +23691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.690968067,1 +23689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.576678946,1 +23692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.421890331,1 +23693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.78723644,1 +23694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.381632728,1 +23696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.105031977,1 +23695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.86974568,1 +23698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.469686325,1 +23697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.36956783,1 +23699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,0.180277192,1 +23701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.915652421,1 +23702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.405365113,1 +23700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.938171202,1 +23703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.759004742,1 +23704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.33285851,1 +23705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.513056033,1 +23707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.110309954,1 +23706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.734672714,1 +23708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.290371916,1 +23709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.426993415,1 +23710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.879999843,1 +23711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.599275073,1 +23712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.039493203,1 +23713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.135562236,1 +23714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.170017092,1 +23716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.309300697,1 +23718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.226848276,1 +23717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.14460253,1 +23715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.751707108,1 +23719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.666424232,1 +23720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.787795984,1 +23721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.004067723,1 +23723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,1.920578572,1 +23722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.629612224,1 +23725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.743668628,1 +23724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.168760658,1 +23727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.712642963,1 +23726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.27390965,1 +23728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.641358825,1 +23729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.551203178,1 +23731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.705163791,1 +23730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.276698243,1 +23732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.414237858,1 +23733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.398995426,1 +23734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.87200677,1 +23736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.936400678,1 +23737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.357199144,1 +23738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.889177015,1 +23739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.408505478,1 +23740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.232679411,1 +23735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.789769315,1 +23741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.583074057,1 +23744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,9.418169633,1 +23743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.31399829,1 +23742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.045651425,1 +23746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.048075446,1 +23747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.070070597,1 +23745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.640010924,1 +23748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.538872346,1 +23750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.879108565,1 +23751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.612275869,1 +23749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.224160632,1 +23753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.894558599,1 +23752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.092240647,1 +23754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.142834476,1 +23755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.256040817,1 +23758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.143563736,1 +23756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.040940524,1 +23757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.53086852,1 +23760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.666456443,1 +23759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.109286545,1 +23761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.07980398,1 +23763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.312877385,1 +23765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.867313869,1 +23762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.85098532,1 +23764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.531498614,1 +23766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.598037771,1 +23767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.058069408,1 +23768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.858011923,1 +23769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.181871468,1 +23770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.763590152,1 +23771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.616729709,1 +23772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.698856962,1 +23773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.703948267,1 +23774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.335272826,1 +23775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.757040893,1 +23776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.908020044,1 +23777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.01180131,1 +23778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.040546425,1 +23779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.539724051,1 +23782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.581305355,1 +23780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.305765069,1 +23783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.652421411,1 +23784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.72489027,1 +23781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.505601376,1 +23785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.398768938,1 +23788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,1.529275357,1 +23786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.025434805,1 +23789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,9.545372812,1 +23787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.479267961,1 +23790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.530052369,1 +23791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.341036769,1 +23793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.332901482,1 +23792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.050687686,1 +23794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.372981025,1 +23795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.773026447,1 +23796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.939919954,1 +23797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.00388558,1 +23799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.151489185,1 +23800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.594931593,1 +23801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.474037794,1 +23798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.616202648,1 +23803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.726155137,1 +23802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.826059576,1 +23805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.711231521,1 +23804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.27419987,1 +23806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.660076622,1 +23808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.436055801,1 +23807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.212679212,1 +23809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.022921299,1 +23810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.400664273,1 +23811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.239789749,1 +23812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.986550378,1 +23813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.834284871,1 +23814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.065082639,1 +23816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.703468984,1 +23815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,8.352189037,1 +23817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.709740274,1 +23819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.220129759,1 +23818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.113826623,1 +23820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.011567898,1 +23822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.748854144,1 +23823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.56006791,1 +23824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.090219774,1 +23821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.462530346,1 +23825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.710036144,1 +23826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.277213991,1 +23827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.676783199,1 +23828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.357656435,1 +23829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.410825371,1 +23830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.571791652,1 +23832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.799009249,1 +23831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.727876181,1 +23833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.973761654,1 +23834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.514056522,1 +23836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.901595303,1 +23835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.022366892,1 +23837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.819714378,1 +23838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.369854967,1 +23839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.264142669,1 +23841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.174305352,1 +23842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.922282637,1 +23843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.904819863,1 +23840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,8.695198663,1 +23844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,8.387363567,1 +23845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.588432847,1 +23847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,8.111834717,1 +23846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.955013581,1 +23849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.882171202,1 +23848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.102943773,1 +23851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.118028751,1 +23850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.462842271,1 +23852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.995326015,1 +23853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.921946407,1 +23854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,1.869291412,1 +23855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.500518041,1 +23856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.34039388,1 +23857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.830296993,1 +23858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.735661818,1 +23860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.020639836,1 +23861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.242397194,1 +23859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.262155995,1 +23862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.249131597,1 +23863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.602489271,1 +23864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.773629086,1 +23866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.717245544,1 +23865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.11636162,1 +23867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.079622515,1 +23868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.64831179,1 +23869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.757500461,1 +23870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.729293226,1 +23871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,1.428300203,1 +23873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.398634164,1 +23872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,1.67306871,1 +23875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.310182986,1 +23876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,8.370010727,1 +23877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.968011072,1 +23880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.485716884,1 +23874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.322160869,1 +23878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.505067281,1 +23879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.836119699,1 +23881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.925307025,1 +23882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.494309874,1 +23883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,1.570705303,1 +23884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.204552855,1 +23885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.925267801,1 +23887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.63873903,1 +23886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.99394638,1 +23888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.108176204,1 +23889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.196117771,1 +23890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.215474911,1 +23891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.187512725,1 +23893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.834721989,1 +23895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.881352455,1 +23894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.313430657,1 +23892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.529067813,1 +23896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.020728748,1 +23897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.17939688,1 +23898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.517903175,1 +23899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.108769541,1 +23900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.637343764,1 +23902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,11.27225106,1 +23903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.209963876,1 +23904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.422911939,1 +23905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,9.658088097,1 +23901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.346681194,1 +23906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.679086271,1 +23907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.968138076,1 +23909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.59638877,1 +23908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.53073015,1 +23912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.86467021,1 +23913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.83473587,1 +23910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.289140642,1 +23911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.864183723,1 +23914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.674707185,1 +23917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.825879439,1 +23915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.278628557,1 +23916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.338047663,1 +23920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.528375083,1 +23919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.872456732,1 +23921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.747673565,1 +23923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.0375154,1 +23918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.092006145,1 +23924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.517678886,1 +23922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.525268623,1 +23925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.746285203,1 +23926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.235613311,1 +23928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.221154086,1 +23927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.397907903,1 +23929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.135490509,1 +23930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.118027879,1 +23931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,8.936952729,1 +23932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,1.937984089,1 +23933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.661755274,1 +23934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.718571947,1 +23935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,8.387504549,1 +23936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,1.813167741,1 +23937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.779647149,1 +23939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,1.754676473,1 +23940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.294728707,1 +23938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.236462484,1 +23941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,1.770343624,1 +23943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.638291933,1 +23942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.826942927,1 +23944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.523075957,1 +23945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.566066761,1 +23946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,8.470980786,1 +23947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.40356555,1 +23948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.978229212,1 +23950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.579001832,1 +23949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.050655267,1 +23951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.278927715,1 +23954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.856451796,1 +23952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.451398482,1 +23955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.040930418,1 +23953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.546547602,1 +23956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.368722039,1 +23957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.355501031,1 +23959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.403553274,1 +23960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.944693119,1 +23961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.725292364,1 +23958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.982114556,1 +23962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.840258391,1 +23963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.871276688,1 +23964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,8.492958771,1 +23966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.426714485,1 +23967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.649826483,1 +23965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.033116993,1 +23968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.022176255,1 +23971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.9625013,1 +23973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.210788751,1 +23969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.06749134,1 +23970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.050175265,1 +23975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.073806219,1 +23976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,8.375548605,1 +23972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.531141234,1 +23978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.812797064,1 +23979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.299943749,1 +23977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.646145429,1 +23974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.212319873,1 +23980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.572096275,1 +23981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.295690119,1 +23982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.554594781,1 +23983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,1.937877686,1 +23986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.508988157,1 +23985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.325621334,1 +23984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.00013566,1 +23987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.163238225,1 +23990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,4.0932406,1 +23988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.974752595,1 +23989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.150070707,1 +23991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.806500064,1 +23993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.175759278,1 +23992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,5.72097412,1 +23994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,7.978212332,1 +23996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,2.855258491,1 +23997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.334306746,1 +23995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.101353801,1 +23998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,6.179763614,1 +23999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,1.419538054,1 +24000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,4,1,3.309488942,1 +33001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.355046073,1 +33003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.989921339,1 +33004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.903482237,1 +33005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.687418523,1 +33006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.083163517,1 +33002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,0.634103223,1 +33007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.170094325,1 +33008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.363538862,1 +33009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.676101747,1 +33010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.060877635,1 +33011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.190155133,1 +33012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.20196714,1 +33013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.586572106,1 +33014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.904719116,1 +33015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.288450934,1 +33016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.98766333,1 +33018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.988355601,1 +33017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.762747047,1 +33019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.706773622,1 +33020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.801380117,1 +33022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.031923472,1 +33023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.935523105,1 +33024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.502033109,1 +33025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.191635902,1 +33021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.13903433,1 +33029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.30400852,1 +33026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.233187485,1 +33027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.172033806,1 +33028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.588555977,1 +33031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.757805951,1 +33030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.365091491,1 +33032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.459260333,1 +33033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.181810777,1 +33034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.325115485,1 +33035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.396832871,1 +33036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.796816794,1 +33037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.718085298,1 +33038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.831402278,1 +33041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.077861033,1 +33040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.555685112,1 +33042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.16281615,1 +33039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.508206815,1 +33044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.621707399,1 +33043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.973342672,1 +33045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.056408428,1 +33046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.973177014,1 +33047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.882630979,1 +33048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.715391627,1 +33049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.933357474,1 +33051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.635398151,1 +33050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.771407687,1 +33052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.142560463,1 +33053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.720050435,1 +33054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.239624156,1 +33056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.154679921,1 +33055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.611812263,1 +33057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.977430599,1 +33059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.107473073,1 +33061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.926983508,1 +33060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.850269289,1 +33058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.008572367,1 +33062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.127578156,1 +33063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.321721795,1 +33064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.158313817,1 +33066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.184192473,1 +33067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.901611518,1 +33065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.055446961,1 +33068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.413074275,1 +33069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.198128323,1 +33070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.69384189,1 +33071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.394476851,1 +33073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.715864808,1 +33074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.380450946,1 +33072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.670825287,1 +33075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.942589433,1 +33076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.449545945,1 +33078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.419762858,1 +33077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.845817189,1 +33080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.100081344,1 +33079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.938353466,1 +33082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.369960327,1 +33081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.397406859,1 +33083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.426029332,1 +33085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.919244622,1 +33086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.532677325,1 +33084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.689043644,1 +33087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.110779048,1 +33090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.500981937,1 +33088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.358289786,1 +33089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.515894597,1 +33091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.58710953,1 +33092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.035126963,1 +33093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.906533522,1 +33094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.78299035,1 +33095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.136079128,1 +33096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.016439499,1 +33097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.893866767,1 +33099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,8.24539279,1 +33098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.676811641,1 +33101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.794745241,1 +33100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.002762979,1 +33102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.347175998,1 +33103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.092377343,1 +33104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.163025118,1 +33105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.384792905,1 +33106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.796444331,1 +33108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.130025439,1 +33109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.132561102,1 +33110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.296807818,1 +33107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.702533225,1 +33111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.816608049,1 +33112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.052136599,1 +33113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.174583902,1 +33115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.037944966,1 +33114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.898653782,1 +33117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.483029912,1 +33118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.951601775,1 +33119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.472011594,1 +33116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.682647166,1 +33120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.638275379,1 +33122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.964072847,1 +33123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.18188517,1 +33121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.24946697,1 +33124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.743996115,1 +33126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.623669717,1 +33127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.492680028,1 +33128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.071945994,1 +33129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.443169115,1 +33130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.639662732,1 +33125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.4407018,1 +33131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.740771218,1 +33133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.988718061,1 +33132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.559249119,1 +33134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.921959293,1 +33135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,8.401616708,1 +33136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.385668344,1 +33137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.325079781,1 +33138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.916956942,1 +33139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.051633532,1 +33140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.607384858,1 +33141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.018496291,1 +33142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.9817986,1 +33143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.269694058,1 +33144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.363218343,1 +33145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.388209272,1 +33147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.303469002,1 +33148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.194347464,1 +33146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.456099878,1 +33149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.181364901,1 +33151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.386120879,1 +33150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.647655596,1 +33153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.879717271,1 +33152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.870637792,1 +33155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.796720619,1 +33154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.652028617,1 +33157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.730074017,1 +33156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.853501917,1 +33158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.137668485,1 +33160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.858678083,1 +33159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.062918493,1 +33161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.264460736,1 +33162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.475341139,1 +33164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.442383495,1 +33165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.957539143,1 +33167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.366716435,1 +33163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.216331486,1 +33166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.526696244,1 +33168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.150294598,1 +33172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.44599423,1 +33171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.787074734,1 +33170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,9.411473635,1 +33169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.185086698,1 +33173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.363804628,1 +33174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.959218381,1 +33175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,8.26603079,1 +33178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.523428673,1 +33177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.771719115,1 +33176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.686427719,1 +33179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.051291298,1 +33182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.841127894,1 +33181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.152965753,1 +33180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.070294358,1 +33184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.646953774,1 +33183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.710948348,1 +33185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.075828574,1 +33186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.253162497,1 +33188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.674438686,1 +33189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.890024497,1 +33190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.420750323,1 +33191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.75535363,1 +33192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.491138593,1 +33193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.750619641,1 +33187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.600543939,1 +33197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.102881351,1 +33196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.21591504,1 +33194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.292884503,1 +33195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.789713109,1 +33198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.090635955,1 +33199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.218980175,1 +33201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.171677711,1 +33200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.192382587,1 +33202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.956931822,1 +33203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.321884101,1 +33204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.426812564,1 +33205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.738633396,1 +33207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.910954884,1 +33208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.76800014,1 +33206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.890484641,1 +33209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,8.075998599,1 +33210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.514867472,1 +33212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.585579944,1 +33211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.98113813,1 +33214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.498661452,1 +33215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.141814529,1 +33216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.44927955,1 +33217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.481779085,1 +33213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.49199682,1 +33218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.136841411,1 +33220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.247193056,1 +33219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.31850754,1 +33221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.69912074,1 +33224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.491803122,1 +33223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.629255614,1 +33225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.440147807,1 +33222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.457906911,1 +33228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.262021212,1 +33229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.749105757,1 +33226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.1849694,1 +33227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.163791613,1 +33231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.097113842,1 +33233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.045717791,1 +33232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.024109636,1 +33234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.444549409,1 +33235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.857699475,1 +33236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.756607237,1 +33230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.338658994,1 +33237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.567496087,1 +33238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.573141277,1 +33239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.401432519,1 +33240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.308930214,1 +33242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.8088804,1 +33244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.721675031,1 +33241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.517995356,1 +33243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.026188069,1 +33247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.311937774,1 +33246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.383517128,1 +33245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.904559068,1 +33248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.710919279,1 +33249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.010776634,1 +33252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.943855581,1 +33251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.192588254,1 +33253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.877188128,1 +33254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.985395117,1 +33255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.97269392,1 +33250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.057904181,1 +33256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.400596801,1 +33259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.818991209,1 +33257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.926300121,1 +33258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.94953818,1 +33260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.480100693,1 +33262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.926971963,1 +33261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.708397015,1 +33264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.960111598,1 +33265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.433634412,1 +33266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.857832464,1 +33263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.724174046,1 +33267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.305665101,1 +33268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.276848989,1 +33270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.476870171,1 +33272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.256105048,1 +33273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.262627987,1 +33271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.871371336,1 +33269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.472434261,1 +33276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.836748889,1 +33277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.266003861,1 +33274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.996396806,1 +33275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,9.152066619,1 +33278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.750890954,1 +33279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.722334721,1 +33280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.27799789,1 +33282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.391665081,1 +33281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.527775147,1 +33284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.403570018,1 +33285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.316837755,1 +33287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.726532282,1 +33286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.309831934,1 +33283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.146302191,1 +33289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.779687224,1 +33290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.498774148,1 +33291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.569043725,1 +33288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.716848771,1 +33292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.307627175,1 +33293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.052290762,1 +33295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.115061926,1 +33296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.510002524,1 +33297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.256129915,1 +33298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.091072027,1 +33299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.035838285,1 +33294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.308587528,1 +33301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.955726489,1 +33302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.554428476,1 +33303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.915672678,1 +33306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.068260892,1 +33300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.981883105,1 +33304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,9.012671759,1 +33305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.93790233,1 +33307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.429063478,1 +33308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.850243081,1 +33310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.827270249,1 +33309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.073485685,1 +33312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.383324097,1 +33313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.488813523,1 +33314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.25363915,1 +33315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.190638287,1 +33316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.391243665,1 +33317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.83107616,1 +33311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,8.043403319,1 +33321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.536177874,1 +33318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.985585693,1 +33320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.329781609,1 +33319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.243873527,1 +33322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.395969837,1 +33323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.39176752,1 +33324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.843501992,1 +33325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.321608484,1 +33326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.25659754,1 +33328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.358169049,1 +33327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.48060144,1 +33329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.463227086,1 +33331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.695984388,1 +33333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.597104881,1 +33330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.705521207,1 +33332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.104311226,1 +33336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.773679028,1 +33334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.701096366,1 +33335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.673679665,1 +33337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.436958094,1 +33338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.646981301,1 +33339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.184738176,1 +33340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,8.681991094,1 +33342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.047596073,1 +33341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.124478033,1 +33343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.0258665,1 +33344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.585141783,1 +33346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.148529482,1 +33347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.870514215,1 +33348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.811667461,1 +33345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.287740765,1 +33349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.597604706,1 +33350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.96444335,1 +33352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.973721515,1 +33351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.045758667,1 +33353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.323729284,1 +33355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.539336408,1 +33354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.293560762,1 +33356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.801869198,1 +33358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.786396523,1 +33359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.100637514,1 +33357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.98849327,1 +33360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.178144093,1 +33361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.333999371,1 +33363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.164924905,1 +33364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.583558064,1 +33362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.012028261,1 +33365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.805675473,1 +33368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.245340922,1 +33366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.211428014,1 +33369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.646648438,1 +33370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.503351209,1 +33367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.043974438,1 +33372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.402778903,1 +33371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.565463921,1 +33373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.985709856,1 +33375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.692586587,1 +33376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.919183768,1 +33377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,8.090920532,1 +33374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.734171271,1 +33378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.589410807,1 +33379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.569761846,1 +33381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.101594166,1 +33380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.688785045,1 +33383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.459070288,1 +33384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.963124366,1 +33386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.394950355,1 +33385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.748792735,1 +33382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.899442759,1 +33388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.081317998,1 +33389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.800608231,1 +33387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.268620065,1 +33390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.273456631,1 +33391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.871801137,1 +33392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.912924751,1 +33394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.537378451,1 +33393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.208320876,1 +33397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.152837631,1 +33396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.268028755,1 +33395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.981143129,1 +33398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.994526269,1 +33401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.160796182,1 +33400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.800132462,1 +33402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.730942556,1 +33403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.405588573,1 +33404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.738026131,1 +33405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.627788627,1 +33399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.945678448,1 +33406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.675154283,1 +33407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,8.865345315,1 +33409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.70135965,1 +33408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.530644283,1 +33412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.469515107,1 +33410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.872722022,1 +33413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.131508352,1 +33411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.582325361,1 +33414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.623062934,1 +33415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.19187434,1 +33416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.395685104,1 +33417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.466932357,1 +33419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.163021728,1 +33421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.255411387,1 +33420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.642522431,1 +33422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.150251768,1 +33418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.999139378,1 +33423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.921681017,1 +33426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.054797728,1 +33424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.084082174,1 +33427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.560887553,1 +33425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.452938107,1 +33428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.736175274,1 +33429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.118994628,1 +33431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.65729509,1 +33430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.798192793,1 +33432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.713585847,1 +33433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.878110859,1 +33434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.833993257,1 +33435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.279505338,1 +33438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.961544258,1 +33437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.935796641,1 +33439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.503314816,1 +33436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.878704856,1 +33440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.806120977,1 +33442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.695498164,1 +33443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.731246338,1 +33441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.367117391,1 +33445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.070674915,1 +33444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.82427013,1 +33447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.421358721,1 +33446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.215361994,1 +33448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.625231977,1 +33449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.762568168,1 +33450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.609953175,1 +33452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.563675624,1 +33451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.99018306,1 +33453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.629313539,1 +33454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.970357427,1 +33455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.62203279,1 +33457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.582493002,1 +33456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.51857203,1 +33460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.045815971,1 +33458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.606672031,1 +33459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.756345342,1 +33461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.579909593,1 +33462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.798146687,1 +33463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.213546684,1 +33464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.527298398,1 +33465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.098730921,1 +33466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.779925254,1 +33468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.597801658,1 +33467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.847587742,1 +33470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.07453256,1 +33472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.261207954,1 +33471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.525251852,1 +33469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.326872282,1 +33474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.797663754,1 +33473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.731118747,1 +33475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.650354806,1 +33476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.655160366,1 +33477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.873006283,1 +33478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.979646059,1 +33479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.328201306,1 +33481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.516852992,1 +33480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.628656816,1 +33482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.960686894,1 +33483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,8.850339378,1 +33486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.343843106,1 +33484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.443141129,1 +33485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.082262876,1 +33487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.724116077,1 +33488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.486017438,1 +33489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.256408872,1 +33490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.457013168,1 +33491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.913773581,1 +33492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.518615465,1 +33493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.991912447,1 +33494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.767689324,1 +33495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.678040649,1 +33496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.606059048,1 +33497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.991905026,1 +33498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.682295033,1 +33499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.067963022,1 +33500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.080307452,1 +33501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.257310021,1 +33503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.19023833,1 +33502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.332496273,1 +33504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.370212139,1 +33505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.861915761,1 +33506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.80602711,1 +33508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.207293309,1 +33510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.059227266,1 +33509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.734751739,1 +33507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.595073161,1 +33511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.534690601,1 +33512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.811152283,1 +33513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,9.020432263,1 +33515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.54711686,1 +33516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.18575035,1 +33517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.155620051,1 +33514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.504742245,1 +33519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.370807673,1 +33521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.028739228,1 +33518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.538402994,1 +33520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.201273108,1 +33522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.777708984,1 +33523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.048434086,1 +33524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.908836262,1 +33525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.729280821,1 +33526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.056421792,1 +33528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.194872655,1 +33529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.825189065,1 +33530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,8.781554708,1 +33527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.876910335,1 +33531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.006900593,1 +33532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.602302694,1 +33535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.275144218,1 +33536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.944830324,1 +33534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.438041726,1 +33533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.99645881,1 +33539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.247649412,1 +33537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.773288287,1 +33540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.762226217,1 +33538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.275964083,1 +33541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.342245479,1 +33542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.922483547,1 +33543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.896430847,1 +33544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.664623739,1 +33546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.434074086,1 +33547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.475318913,1 +33548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.976819883,1 +33549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.565596664,1 +33545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.263348509,1 +33550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.982083791,1 +33551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.095130432,1 +33552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.65775194,1 +33553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.890379851,1 +33554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.806960906,1 +33555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.392648354,1 +33556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.861307149,1 +33557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.698998624,1 +33558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.111133196,1 +33559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.407300319,1 +33560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.524816152,1 +33561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.535766642,1 +33563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.284346163,1 +33564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.769302784,1 +33562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.501796727,1 +33568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.265533221,1 +33565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.052576758,1 +33567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.160460217,1 +33566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.572428233,1 +33569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.244827046,1 +33572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.150675076,1 +33570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.585384658,1 +33571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.984638173,1 +33573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.572277921,1 +33574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.073618383,1 +33575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.011831043,1 +33576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.875105089,1 +33578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.608715266,1 +33577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.212127942,1 +33580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.358076595,1 +33579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.273339888,1 +33582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.920944492,1 +33581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.852890084,1 +33583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.706289196,1 +33584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.830184012,1 +33585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.478869626,1 +33586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.858242108,1 +33587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.388404741,1 +33588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.572747724,1 +33589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.187484013,1 +33590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.287700684,1 +33591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.390338828,1 +33592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.779423422,1 +33593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.676527359,1 +33594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.612958934,1 +33595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.60212902,1 +33597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.918427536,1 +33596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.760516629,1 +33598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.902073619,1 +33599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.133534068,1 +33600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.344007523,1 +33601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.533446295,1 +33602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.901202862,1 +33603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.927979788,1 +33606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.333203646,1 +33604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.190672203,1 +33605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.413463292,1 +33607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.276032081,1 +33608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.070514278,1 +33611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.463494283,1 +33610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.293585441,1 +33609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.069029153,1 +33614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.885668785,1 +33612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.267392485,1 +33613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.002319718,1 +33616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.695589327,1 +33617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.586722184,1 +33618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.071765265,1 +33619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,8.556368831,1 +33615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.663601952,1 +33620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,8.992202488,1 +33621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.37741624,1 +33622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.329501964,1 +33624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.750420642,1 +33625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.592402326,1 +33626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.449052698,1 +33623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.765197494,1 +33630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.485702774,1 +33628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.531387404,1 +33627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.665415737,1 +33629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.633943509,1 +33632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.483504545,1 +33633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.854060987,1 +33631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.737726545,1 +33634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.693021249,1 +33635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.199003851,1 +33636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.238060274,1 +33638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.826977693,1 +33639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.831290675,1 +33640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.687832103,1 +33641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.970841031,1 +33637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.535339998,1 +33642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.884887257,1 +33645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.358300745,1 +33643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.824496529,1 +33644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.750318812,1 +33646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.829243461,1 +33648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.686398433,1 +33647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.074397631,1 +33649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.983628975,1 +33650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.59182667,1 +33654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.521168333,1 +33651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.054015768,1 +33652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.113653611,1 +33653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.303428053,1 +33655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.660506084,1 +33656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.96986043,1 +33658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.463259523,1 +33660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.465354745,1 +33657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.652079414,1 +33661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.908337587,1 +33659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.37312368,1 +33662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.938524094,1 +33664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.7236786,1 +33665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.507608781,1 +33666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.088910706,1 +33663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.123638446,1 +33667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.482815734,1 +33668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.498772906,1 +33669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.491935926,1 +33670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.16259038,1 +33672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.52442125,1 +33671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.76537392,1 +33673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.708654222,1 +33674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.563168456,1 +33676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.379304643,1 +33675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.469279013,1 +33677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.506841041,1 +33678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.762813872,1 +33679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.992708471,1 +33680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.66733301,1 +33681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.918079188,1 +33683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.841162438,1 +33682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.315345285,1 +33684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.854118774,1 +33685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.374581221,1 +33686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.329056889,1 +33688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.717304742,1 +33689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.568478177,1 +33687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.869062961,1 +33690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.236722322,1 +33691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.084384102,1 +33692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.687842755,1 +33694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.4177681,1 +33695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.400721025,1 +33693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.277265701,1 +33696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.069131618,1 +33697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.205355121,1 +33698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.889497445,1 +33700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.660468772,1 +33701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.408032642,1 +33702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.790964824,1 +33699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.212884737,1 +33704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.894639211,1 +33703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.66312955,1 +33706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.536378364,1 +33705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.54706814,1 +33707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.447200201,1 +33708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.485318346,1 +33710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.186454851,1 +33709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.140878448,1 +33711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.463102367,1 +33712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.106221067,1 +33713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.589290761,1 +33715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.004757815,1 +33716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.588580882,1 +33717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.441102483,1 +33718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,8.077727852,1 +33714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.90443048,1 +33719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.094715927,1 +33720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.82422945,1 +33722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.003174788,1 +33721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.099382418,1 +33723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.433512562,1 +33724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.131546896,1 +33726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.890812855,1 +33727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.690120264,1 +33725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.136456051,1 +33730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.712511518,1 +33728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.216454363,1 +33729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.183454635,1 +33731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.772161687,1 +33732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.52439567,1 +33733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.175689999,1 +33734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.780727075,1 +33737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.556414433,1 +33735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.790957689,1 +33736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.1115765,1 +33738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.545152936,1 +33739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.680644513,1 +33742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.48880419,1 +33740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.778969294,1 +33741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.635857082,1 +33743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.23549517,1 +33746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.083549685,1 +33744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.190999693,1 +33745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.768677247,1 +33747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.288580164,1 +33748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.719540163,1 +33749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.895409332,1 +33750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.335116861,1 +33751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.202902417,1 +33754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.608638085,1 +33752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.038775035,1 +33755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.072406997,1 +33753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.720520384,1 +33756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.456960236,1 +33757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.671372117,1 +33758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.333127555,1 +33760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.391471447,1 +33761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.726214797,1 +33759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.503359917,1 +33762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.230413642,1 +33763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.554872486,1 +33764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.357666546,1 +33766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.892352144,1 +33765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.988998361,1 +33768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.906758764,1 +33769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.305829106,1 +33770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.762745672,1 +33767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.936643335,1 +33771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.794697042,1 +33773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.816151625,1 +33774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.612326022,1 +33775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.287437153,1 +33776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,8.452016341,1 +33772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.10532807,1 +33777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.279550465,1 +33778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.873282635,1 +33779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.84484112,1 +33780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.101107926,1 +33781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.999889553,1 +33784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.419939896,1 +33782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.377630801,1 +33783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.889594251,1 +33785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.017534026,1 +33786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.583849744,1 +33787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.484570947,1 +33788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.398959977,1 +33790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.155938883,1 +33789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.93382835,1 +33791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.743235571,1 +33792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.886483768,1 +33795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.49552344,1 +33794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.197781759,1 +33796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.156177565,1 +33793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.570390355,1 +33799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.056756258,1 +33797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.099447119,1 +33798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.842830236,1 +33800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.340626861,1 +33802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.17186027,1 +33801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,9.487677836,1 +33803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.320641392,1 +33804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.072226429,1 +33806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.532090058,1 +33805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.789504573,1 +33807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.057469761,1 +33808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.286485769,1 +33809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.464021358,1 +33810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.550326924,1 +33811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.08184129,1 +33813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.984939474,1 +33814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.018601176,1 +33812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.535273822,1 +33815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,8.000402407,1 +33816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.345604215,1 +33817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.636649299,1 +33818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.973473669,1 +33820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.264692549,1 +33819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.73962451,1 +33821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.32448652,1 +33822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.532140133,1 +33825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.511860012,1 +33824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.321898869,1 +33823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.126478288,1 +33826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.24360137,1 +33829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.13699089,1 +33827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.391680518,1 +33828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.815244712,1 +33831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.250690226,1 +33830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.526796893,1 +33832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.813826531,1 +33834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.581861441,1 +33833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.427157796,1 +33835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.172292803,1 +33836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.334451339,1 +33837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.666290757,1 +33839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.160079778,1 +33840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.123872651,1 +33838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.895456272,1 +33841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.376039763,1 +33842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.005383719,1 +33844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.233264391,1 +33843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.391343767,1 +33846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.253308471,1 +33845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.747270138,1 +33847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.874401824,1 +33848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.878269541,1 +33850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.420374995,1 +33849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.781976679,1 +33852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.528671781,1 +33854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.745542559,1 +33853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.598883366,1 +33855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.344663736,1 +33856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.741863454,1 +33851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.225798113,1 +33857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.351645414,1 +33860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.832291148,1 +33858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.03921253,1 +33859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.071264716,1 +33862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.264739132,1 +33861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.073971179,1 +33863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.574719544,1 +33864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.32456893,1 +33865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.872458223,1 +33866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.504299786,1 +33867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.263258395,1 +33868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.294066707,1 +33870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.675646063,1 +33871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.860408902,1 +33872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.072830575,1 +33873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.087963342,1 +33869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.384276482,1 +33877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.368336936,1 +33875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.73709733,1 +33876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.075253631,1 +33874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.639036891,1 +33879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,0.606127488,1 +33880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.622997883,1 +33881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.756771908,1 +33878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.365208965,1 +33882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.429526265,1 +33883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.181086461,1 +33885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.852874753,1 +33884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.266984866,1 +33886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.048326522,1 +33887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.064878662,1 +33888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.684003069,1 +33890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.357242411,1 +33892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.071117495,1 +33889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.39330729,1 +33891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.960039159,1 +33893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.977796932,1 +33894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.637793939,1 +33896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.458808852,1 +33895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.889859346,1 +33897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.238703456,1 +33898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.939444054,1 +33899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.994587538,1 +33900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.430061657,1 +33901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.213485067,1 +33902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.284923096,1 +33903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.347089651,1 +33904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.455124174,1 +33906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.889548424,1 +33905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.345008682,1 +33908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.100017575,1 +33907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,9.361354019,1 +33909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.331635122,1 +33911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.145796872,1 +33912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,8.234174419,1 +33910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.093303791,1 +33913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.768470715,1 +33915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.095171246,1 +33914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.909940855,1 +33916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.429829748,1 +33917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.893529503,1 +33918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.167641708,1 +33919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.768333344,1 +33920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.869284829,1 +33921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.298901591,1 +33922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.621708837,1 +33925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.185530057,1 +33926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.375086166,1 +33923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.535183965,1 +33924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.257372613,1 +33927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.61021321,1 +33928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.990135792,1 +33932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.994156781,1 +33930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.601993993,1 +33931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.862085317,1 +33929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.978678097,1 +33933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.281252533,1 +33934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.243239918,1 +33936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.470220122,1 +33935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.683365567,1 +33939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.167595103,1 +33938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.754044912,1 +33937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.776541708,1 +33940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.549170947,1 +33941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.927106303,1 +33943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.378094682,1 +33944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.283916364,1 +33947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.043999296,1 +33946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.769515215,1 +33945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.007296511,1 +33942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,8.316017308,1 +33949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.550517714,1 +33948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.932263765,1 +33950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.947386581,1 +33954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.609891198,1 +33951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.467268717,1 +33953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.385573888,1 +33952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.595167708,1 +33955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.120514114,1 +33956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.66750479,1 +33957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.614677609,1 +33958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.66268694,1 +33961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.151236274,1 +33962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.435676749,1 +33959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.970566734,1 +33960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.643058586,1 +33963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.277461768,1 +33964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.957040676,1 +33965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.394096791,1 +33966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.329635971,1 +33969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.327598568,1 +33968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.821005919,1 +33967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.421425731,1 +33970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,5.166180655,1 +33971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.905113449,1 +33972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.085748796,1 +33973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.609781905,1 +33974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.974756537,1 +33976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.552053148,1 +33977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.029747484,1 +33979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,7.039350975,1 +33975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.777143733,1 +33980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.720805606,1 +33981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.17099793,1 +33982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.285215745,1 +33978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.499389236,1 +33983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.16875951,1 +33985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.464457574,1 +33986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,1.765727324,1 +33984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,9.621558697,1 +33987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.782559324,1 +33988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.939746263,1 +33989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.642135698,1 +33990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.556181376,1 +33991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.618606241,1 +33992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.486987425,1 +33994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.866684053,1 +33993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.405779737,1 +33995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,2.425832722,1 +33997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.195270757,1 +33999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.123615531,1 +33996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,3.131621511,1 +33998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,6.527037708,1 +34000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,4,1,4.55407677,1 +43002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.017096093,1 +43003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.938876901,1 +43001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.077297425,1 +43004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.353720446,1 +43005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.406716266,1 +43007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.27291818,1 +43006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.025828725,1 +43009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.064284573,1 +43010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.196707029,1 +43011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.750794758,1 +43012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.327081493,1 +43008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.740854199,1 +43013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.308645335,1 +43014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.667758708,1 +43015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.310910413,1 +43017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.201142772,1 +43018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.841394974,1 +43016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.749451133,1 +43021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.875691965,1 +43019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.423501893,1 +43022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.00583914,1 +43020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.544842709,1 +43023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,7.707482857,1 +43024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.538274978,1 +43026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.150067972,1 +43027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.869925101,1 +43028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.167309354,1 +43025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.688146588,1 +43029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.380416988,1 +43030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.421739263,1 +43031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.335988016,1 +43033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,8.150028227,1 +43034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.452855025,1 +43035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.180530495,1 +43032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.888688839,1 +43037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.453684341,1 +43036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.169091447,1 +43038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.724027248,1 +43040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.019863828,1 +43041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.793290801,1 +43039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.65221074,1 +43042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.381388723,1 +43043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.453582738,1 +43046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,7.464650199,1 +43045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.249895823,1 +43044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.673638761,1 +43047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.488625053,1 +43050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.40308998,1 +43048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.445609999,1 +43049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.603811175,1 +43051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.169996206,1 +43052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.707236927,1 +43053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.64390112,1 +43054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.779361258,1 +43055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.388360583,1 +43057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.33698875,1 +43056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,1.637079715,1 +43059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.453455877,1 +43060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.935940159,1 +43058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.875815133,1 +43062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.668812988,1 +43063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.26701484,1 +43061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.913709176,1 +43064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.532405524,1 +43065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.145619909,1 +43067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.105904169,1 +43066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.077374585,1 +43068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.783260541,1 +43069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.025951429,1 +43071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.27614814,1 +43072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.422486921,1 +43073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,1.970672942,1 +43074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.927711302,1 +43070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.218564769,1 +43076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.369854475,1 +43075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.381290458,1 +43077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.483589883,1 +43079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.400050049,1 +43080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.091481342,1 +43078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.808314709,1 +43081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.984719802,1 +43084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,7.537574932,1 +43083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.533917537,1 +43085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,1.917912997,1 +43082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.948179234,1 +43086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.480357865,1 +43087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.145575614,1 +43088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.941026775,1 +43089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.05305261,1 +43090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.121757384,1 +43091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.194768181,1 +43092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.289472947,1 +43093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.103977389,1 +43094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.292098461,1 +43097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.509451923,1 +43096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.071576455,1 +43095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.556865615,1 +43098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.128568048,1 +43100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.484672209,1 +43099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.28669357,1 +43101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.989745231,1 +43103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.013067991,1 +43102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.182151432,1 +43104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.674102209,1 +43105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.286746953,1 +43106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.343279821,1 +43107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.098349412,1 +43108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.485836731,1 +43109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.378149248,1 +43111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.987152443,1 +43110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.611359111,1 +43112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.473528113,1 +43114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.068840756,1 +43113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.411716258,1 +43115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.705897033,1 +43117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.035918724,1 +43118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,8.975061019,1 +43119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.057700397,1 +43116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.451565602,1 +43120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.022350449,1 +43121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.144347191,1 +43122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.337450734,1 +43123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.790042046,1 +43124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.137775487,1 +43125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,8.949819928,1 +43127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.221693849,1 +43126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.989078264,1 +43128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.222428873,1 +43129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.63586346,1 +43130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.279126842,1 +43131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.96956878,1 +43132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.088292595,1 +43133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.655120356,1 +43135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.966259797,1 +43136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.105823777,1 +43137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.180332462,1 +43138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.385670289,1 +43139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.278434343,1 +43134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.421878415,1 +43140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.041316463,1 +43141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.721846683,1 +43142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.855592706,1 +43144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.386249803,1 +43143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.675825392,1 +43145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.272396764,1 +43147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.321295641,1 +43146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.613997996,1 +43148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.396375323,1 +43149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.934441345,1 +43151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.450332586,1 +43150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.990278525,1 +43152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.382380443,1 +43153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.353596968,1 +43154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.156263664,1 +43155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.094249117,1 +43157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.669402321,1 +43158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.148729727,1 +43159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.692444447,1 +43156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,8.825099945,1 +43162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.759297974,1 +43160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.871216656,1 +43161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.858272818,1 +43163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.124345948,1 +43164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,7.61630067,1 +43165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.401634824,1 +43166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.856387619,1 +43167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.196403607,1 +43168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.153764204,1 +43170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.943275197,1 +43169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.600802136,1 +43172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.694955628,1 +43171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.825804411,1 +43174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.17811694,1 +43173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.663810648,1 +43175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.199128318,1 +43178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.616202287,1 +43176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.055623737,1 +43177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.788082202,1 +43180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.149663549,1 +43179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.819336143,1 +43181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.948701361,1 +43182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.498465579,1 +43184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.70419586,1 +43183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.546264855,1 +43186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.16854532,1 +43185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.472869984,1 +43187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.894911989,1 +43188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.166281953,1 +43189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.933770559,1 +43190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.672961467,1 +43192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.246758869,1 +43191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.007095108,1 +43193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.461780734,1 +43194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.173285669,1 +43196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.109553387,1 +43195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.448917452,1 +43197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.459271045,1 +43198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.806725913,1 +43199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.462810313,1 +43200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.451361657,1 +43201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.795860543,1 +43202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.874451741,1 +43203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.132751096,1 +43205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.435075575,1 +43204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.29281471,1 +43209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.43169175,1 +43206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,7.65739526,1 +43208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,7.178976626,1 +43207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.042718727,1 +43210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.333415839,1 +43211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.852911984,1 +43212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.119921837,1 +43213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.911564624,1 +43214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,8.064578768,1 +43215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.51987172,1 +43216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.859788494,1 +43217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.34889482,1 +43218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.035861943,1 +43220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.927244427,1 +43219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.361724558,1 +43221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.144177314,1 +43222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.189042505,1 +43223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.020058444,1 +43225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.651787896,1 +43227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.69253209,1 +43228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.742432398,1 +43226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.538686106,1 +43224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.100124591,1 +43230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.273569373,1 +43229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.912520884,1 +43231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.404552088,1 +43233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.119643553,1 +43234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.113035058,1 +43235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.34363472,1 +43232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.308647029,1 +43238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.100541166,1 +43239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.838412339,1 +43237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.604374095,1 +43236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.088581477,1 +43240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.045779153,1 +43241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.288341607,1 +43242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.642393728,1 +43243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.049194717,1 +43244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.291153397,1 +43246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.691937609,1 +43247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.154929473,1 +43248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.578695982,1 +43249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.100261499,1 +43245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.534836192,1 +43250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.387110203,1 +43251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.342926593,1 +43252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.943976254,1 +43253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.382242341,1 +43254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,8.618324909,1 +43255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.720338223,1 +43256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.511144802,1 +43257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.775968306,1 +43258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.934130097,1 +43259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.421123397,1 +43260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.080733314,1 +43262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.725291121,1 +43261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.710978838,1 +43263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,8.066929109,1 +43264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.350024624,1 +43265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.886191423,1 +43267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.187219204,1 +43268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.818179879,1 +43269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.42607895,1 +43270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.84986709,1 +43266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.786611581,1 +43271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.379612414,1 +43272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.107982721,1 +43273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.284392059,1 +43274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,1.810041631,1 +43275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.692505404,1 +43276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.169169799,1 +43277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.138952393,1 +43279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.085504978,1 +43278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,7.351292936,1 +43280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.690319426,1 +43282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,7.06408582,1 +43281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.773923291,1 +43283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.073602964,1 +43286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.378276489,1 +43284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.619734873,1 +43285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.989991699,1 +43287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.074257822,1 +43288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.524491714,1 +43289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.01408655,1 +43290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.582294725,1 +43291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.370517139,1 +43292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.797204538,1 +43293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.832945733,1 +43294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.303169002,1 +43296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.524860286,1 +43295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.178193094,1 +43297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.36544143,1 +43298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.764352233,1 +43299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,7.927081378,1 +43300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.171040253,1 +43301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.766709407,1 +43302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.209224773,1 +43303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.149364207,1 +43305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.28165759,1 +43306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.383331563,1 +43304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.723855693,1 +43307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.704805895,1 +43308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.330063242,1 +43309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.23192998,1 +43310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.399067463,1 +43311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.270138625,1 +43312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.752218541,1 +43313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,1.168586417,1 +43314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.376734682,1 +43315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.250501836,1 +43316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.941995415,1 +43317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.085324926,1 +43319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.090033346,1 +43320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.930177663,1 +43321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.548942941,1 +43322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.395112486,1 +43323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.927457844,1 +43324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.286519593,1 +43318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.891801353,1 +43325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.493000592,1 +43326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.233412167,1 +43327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.35178014,1 +43329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.581200926,1 +43330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.544092884,1 +43328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.970246874,1 +43331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.106960991,1 +43332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.96069261,1 +43334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.353733644,1 +43333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.216119968,1 +43335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.083105806,1 +43336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.468239008,1 +43338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.664178784,1 +43339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.92340641,1 +43340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.512558062,1 +43341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.191980041,1 +43337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.478684139,1 +43342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.786910205,1 +43343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.668896933,1 +43344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.125903831,1 +43346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.393166721,1 +43345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.622261713,1 +43347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.146152367,1 +43349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.504180184,1 +43348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.719379566,1 +43350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.556857554,1 +43351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,7.290204145,1 +43352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.597905741,1 +43353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,7.646810257,1 +43355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.10319978,1 +43354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.591432263,1 +43356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.484301568,1 +43357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.034111696,1 +43358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.190101697,1 +43359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.018091643,1 +43360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.09560822,1 +43361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.272447115,1 +43362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.560482391,1 +43363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.865787917,1 +43364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.351411886,1 +43365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.979420375,1 +43366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.561228426,1 +43368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.677014822,1 +43369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.061893012,1 +43370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.378163895,1 +43371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.611113633,1 +43367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,1.788243216,1 +43373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,1.869615242,1 +43374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.259538501,1 +43375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.74341681,1 +43372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.973311926,1 +43378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.724576989,1 +43377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,7.54730772,1 +43376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.645894766,1 +43379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.787911013,1 +43381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.753658957,1 +43380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.952074249,1 +43382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.707090882,1 +43383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.144377345,1 +43384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.879061435,1 +43386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.358437768,1 +43385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.649867597,1 +43388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.231791437,1 +43387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.67983643,1 +43389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.276266761,1 +43390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.77796684,1 +43393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.791493075,1 +43391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.555411589,1 +43394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.586719346,1 +43395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.962488371,1 +43396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.309555961,1 +43392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,1.436528493,1 +43397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.234529484,1 +43398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.915808868,1 +43399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.348935952,1 +43400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.444031965,1 +43401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.831744706,1 +43402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.443269452,1 +43403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.090195324,1 +43404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.664952879,1 +43406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.19200518,1 +43408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.273772768,1 +43405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.589762839,1 +43407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.104850258,1 +43411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.529302322,1 +43410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.305970992,1 +43409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.05201153,1 +43412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.214794141,1 +43413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.271385794,1 +43414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.676184127,1 +43416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.855913678,1 +43418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.422453677,1 +43417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.323226416,1 +43415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.562580163,1 +43419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.4489457,1 +43422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,1.806184359,1 +43421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.140287424,1 +43420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.977177043,1 +43423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.530101739,1 +43425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.520357603,1 +43426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.412018312,1 +43427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.940949201,1 +43424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.440135743,1 +43428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.183762214,1 +43429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.545807607,1 +43430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.946985832,1 +43431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.931891421,1 +43432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,8.126260406,1 +43433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.720670016,1 +43434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.721636461,1 +43435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.674578511,1 +43438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.090291213,1 +43437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.052498005,1 +43436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.292669423,1 +43439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.864563867,1 +43441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.998480041,1 +43442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.696952738,1 +43440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.02658431,1 +43444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.982063322,1 +43445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.499647844,1 +43446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.920273881,1 +43447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.705580592,1 +43449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.088139353,1 +43448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.471987729,1 +43443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,9.205024059,1 +43453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.70480278,1 +43452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.337185227,1 +43450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.727417141,1 +43451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.413331951,1 +43455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.252948259,1 +43454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.318337448,1 +43456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.322620151,1 +43457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.062617931,1 +43458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,7.184842749,1 +43459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.616865219,1 +43460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.002259314,1 +43461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.316759445,1 +43463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,7.634735331,1 +43464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.555484111,1 +43465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.173120685,1 +43466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.387259778,1 +43467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.926888712,1 +43462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.327712248,1 +43468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.381466898,1 +43469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.078373139,1 +43471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.728183822,1 +43470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.608516436,1 +43472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.65437985,1 +43473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.127152301,1 +43475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.105236331,1 +43474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.246767291,1 +43476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,7.602216754,1 +43477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.340996624,1 +43478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.606500964,1 +43480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.204561447,1 +43481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.685722822,1 +43482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.089580621,1 +43483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.44816819,1 +43479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.547622363,1 +43484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.097544502,1 +43485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.217089589,1 +43486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.438897574,1 +43487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.086804874,1 +43488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.938109355,1 +43489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.603550311,1 +43490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.672806834,1 +43491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.579853085,1 +43493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.280553061,1 +43492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.819890872,1 +43494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.796570315,1 +43497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,7.348980404,1 +43496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.374274933,1 +43495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.531174482,1 +43499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.056052223,1 +43498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.900941947,1 +43500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,7.350990313,1 +43501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.461940593,1 +43502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.533034056,1 +43504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.511239803,1 +43505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.526952705,1 +43503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.952058508,1 +43506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.845080123,1 +43507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,8.023739029,1 +43508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,1.744551406,1 +43509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.229574784,1 +43510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.631388312,1 +43511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.156340838,1 +43512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.615670979,1 +43513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.82906341,1 +43514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.269519233,1 +43517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.847702993,1 +43515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.052256756,1 +43516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.35314166,1 +43518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.010520626,1 +43520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.097230705,1 +43521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.279793405,1 +43522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.915911509,1 +43523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.422674485,1 +43519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.413049154,1 +43525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.973904665,1 +43524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.592063269,1 +43526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.868977611,1 +43528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.744730216,1 +43527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.352017851,1 +43529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.560700155,1 +43530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.884112878,1 +43532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.49607849,1 +43531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.329518566,1 +43533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.00441435,1 +43534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.282768148,1 +43535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.136592044,1 +43536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.033052896,1 +43537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.313813275,1 +43538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.29164263,1 +43540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.611509333,1 +43541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.327370033,1 +43542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.670785644,1 +43539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.752732886,1 +43543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.705436076,1 +43544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.150097614,1 +43546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.091209445,1 +43545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.166923843,1 +43547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.168605308,1 +43549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.116067798,1 +43548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.709787173,1 +43550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.871586561,1 +43551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.405842066,1 +43552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.77876365,1 +43554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.41279067,1 +43553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.245619752,1 +43555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,1.717629103,1 +43557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.382957598,1 +43558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,7.456205541,1 +43556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.46660139,1 +43559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.447527984,1 +43560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.365792194,1 +43561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.57204475,1 +43562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.7923571,1 +43563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.763918176,1 +43564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.0809267,1 +43566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,8.003720998,1 +43567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.915724806,1 +43565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.700836174,1 +43568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.676061247,1 +43569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.912922196,1 +43570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.375373275,1 +43571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.121380431,1 +43572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.162054696,1 +43574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.460669638,1 +43575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.587075803,1 +43573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,7.477328365,1 +43576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.17840368,1 +43577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.456002749,1 +43579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.789099329,1 +43578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.237413665,1 +43580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.440515117,1 +43581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.389695525,1 +43582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.878250442,1 +43583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.020477464,1 +43584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.912181302,1 +43585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.58379769,1 +43586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.885556966,1 +43587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.552674586,1 +43588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.112831274,1 +43589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.813702632,1 +43590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.940105285,1 +43591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.197912785,1 +43592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.950482546,1 +43593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.018553244,1 +43594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.165463177,1 +43596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.439745736,1 +43597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.714785976,1 +43598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.431402408,1 +43599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.81914821,1 +43600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.205865589,1 +43595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.647886866,1 +43601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.758794898,1 +43602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.996536593,1 +43603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,8.765825517,1 +43605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.639915909,1 +43606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.871625408,1 +43604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.672687517,1 +43607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.869566072,1 +43610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.562207822,1 +43608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.88721548,1 +43609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.974315929,1 +43611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.474949207,1 +43613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.226874184,1 +43614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,1.855009465,1 +43612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,7.098634371,1 +43615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.759735507,1 +43616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.405461271,1 +43617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.479348889,1 +43619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.760884921,1 +43620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.803159242,1 +43621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.274551436,1 +43622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,9.428272065,1 +43618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.568789803,1 +43623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.543577279,1 +43624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.287833812,1 +43625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.95671861,1 +43626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.997216739,1 +43627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.414258825,1 +43628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.134258566,1 +43629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.605260968,1 +43631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.462877124,1 +43630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.621638558,1 +43632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.23931473,1 +43633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.707830122,1 +43634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.757263265,1 +43635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.782786465,1 +43636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.036399503,1 +43637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.953681136,1 +43638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.495090374,1 +43640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.812453761,1 +43641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.82136405,1 +43639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.682762801,1 +43642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.608564449,1 +43643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.89208448,1 +43644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.127662645,1 +43645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.279359069,1 +43646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.393907976,1 +43647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.018058397,1 +43648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.291159855,1 +43649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.879432748,1 +43650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.169258457,1 +43651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.102616239,1 +43652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.821322703,1 +43653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.995999025,1 +43655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.758763326,1 +43654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.992864379,1 +43656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.535159983,1 +43657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.312359569,1 +43658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,7.033065028,1 +43660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.288249548,1 +43659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.258454448,1 +43661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.791146208,1 +43662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.028651329,1 +43665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.030233693,1 +43664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.126893151,1 +43663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.807076974,1 +43667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.078390523,1 +43666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.70798577,1 +43669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.236789702,1 +43668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.126904206,1 +43670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.16493316,1 +43671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.34060135,1 +43672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.323785626,1 +43674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.576311018,1 +43676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.321348073,1 +43675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,7.156198374,1 +43677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.026555662,1 +43679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.601167572,1 +43678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.652118166,1 +43673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.978103329,1 +43680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.798149272,1 +43681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.570867795,1 +43682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.263282826,1 +43683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.805684646,1 +43684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.484313412,1 +43685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.232855183,1 +43686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.891222491,1 +43687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.18866329,1 +43688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.54929333,1 +43689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,1.2952374,1 +43690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.464611925,1 +43691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.50830928,1 +43692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.654759314,1 +43693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.388430946,1 +43694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.204094225,1 +43696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.866117221,1 +43697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.971308709,1 +43698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.947285401,1 +43695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,7.34079016,1 +43699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.532423475,1 +43701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.317346457,1 +43702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.561963154,1 +43700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.843816042,1 +43703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.488826637,1 +43704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.722346729,1 +43705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.896147034,1 +43706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.968079842,1 +43707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.584682573,1 +43708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.597705508,1 +43710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.309306871,1 +43711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.124712006,1 +43709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.343510973,1 +43712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.229734394,1 +43713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.831631602,1 +43715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,7.74710459,1 +43716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.977451961,1 +43714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.182444407,1 +43717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.305071203,1 +43718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.78405012,1 +43719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.705888555,1 +43720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.745163965,1 +43721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.698657523,1 +43722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.924978006,1 +43723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,8.298784374,1 +43725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.319484256,1 +43724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.580033873,1 +43726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.774318295,1 +43728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.69604997,1 +43727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.478271859,1 +43729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.892796786,1 +43730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.053411861,1 +43732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.544748866,1 +43731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.859393253,1 +43734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.589043967,1 +43733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.790839261,1 +43735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,7.426661713,1 +43736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.287825942,1 +43737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.829353788,1 +43739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.028580708,1 +43738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.976799914,1 +43740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.29253398,1 +43741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,7.535324875,1 +43742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.440253695,1 +43743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.880104919,1 +43744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.002797461,1 +43745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.990488763,1 +43746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.84256237,1 +43747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.740601927,1 +43748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.137933077,1 +43749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.528436599,1 +43750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.901560956,1 +43752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.696346955,1 +43753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.368221023,1 +43754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.942592456,1 +43755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.564635546,1 +43756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.539351224,1 +43757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.479249787,1 +43758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.161613888,1 +43759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.069905714,1 +43760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.409775312,1 +43751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.808304048,1 +43761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,8.214008462,1 +43762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.359595085,1 +43763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.365196822,1 +43764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.063110171,1 +43766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.740364797,1 +43765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.346288327,1 +43767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.466660762,1 +43768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.453243494,1 +43769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,1.667549312,1 +43770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.25822225,1 +43771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.12890942,1 +43772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.089443914,1 +43773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.87418863,1 +43775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.1318835,1 +43774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.313872677,1 +43777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.787058891,1 +43779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.588090135,1 +43778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.043071701,1 +43776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.287767719,1 +43780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.128808934,1 +43781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.859748514,1 +43782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.018070586,1 +43783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.968480388,1 +43785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.224256837,1 +43784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,1.96386691,1 +43786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.17489639,1 +43787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.636970756,1 +43788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,8.11819883,1 +43790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.932150231,1 +43789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.055594621,1 +43792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.202942287,1 +43791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.691551349,1 +43794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.451951291,1 +43793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.728264585,1 +43795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.020774021,1 +43797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.403760645,1 +43796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.434775378,1 +43798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.324942788,1 +43799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.483568105,1 +43800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.097666096,1 +43802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.914846241,1 +43801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,1.802371399,1 +43803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.487515777,1 +43804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.757430582,1 +43805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.024006862,1 +43806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.334658861,1 +43807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.619147498,1 +43808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.773405873,1 +43809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.402110626,1 +43810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.478668996,1 +43811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.267254915,1 +43812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.306680831,1 +43813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.428582064,1 +43814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.36876991,1 +43816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.729647624,1 +43815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.990343723,1 +43817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.64675278,1 +43818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.222085049,1 +43819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.560807161,1 +43820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.403753565,1 +43821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.225379638,1 +43822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.641085555,1 +43823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.404746529,1 +43825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.319813375,1 +43824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.748860864,1 +43827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.74992488,1 +43826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.73896219,1 +43828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.490166052,1 +43829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.712301816,1 +43830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.475843651,1 +43831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.804628084,1 +43832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.366909531,1 +43834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.008334231,1 +43835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.779089585,1 +43836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.409947997,1 +43833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.111238833,1 +43837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.594771219,1 +43839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.823275973,1 +43838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.821423496,1 +43840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.092170221,1 +43841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.864633619,1 +43843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.171592159,1 +43844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.8991321,1 +43842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.431135631,1 +43845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.083108466,1 +43848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.595086796,1 +43846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.053663498,1 +43849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,1.994261192,1 +43850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.536327849,1 +43851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.775111809,1 +43847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.67036688,1 +43852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.370025533,1 +43853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.986865672,1 +43855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.38709918,1 +43854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.673489462,1 +43856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,1.519257246,1 +43858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.493523671,1 +43857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.907943171,1 +43859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.891924147,1 +43860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,1.336544909,1 +43861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.909297103,1 +43862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.833672604,1 +43863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.588277828,1 +43864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.237557758,1 +43866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.279580767,1 +43865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.290429956,1 +43867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.730048813,1 +43868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.340403543,1 +43869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,7.293043433,1 +43871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.943373369,1 +43870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.787772881,1 +43872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.659491632,1 +43873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.074769788,1 +43875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.073612274,1 +43876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.700065302,1 +43874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.585439231,1 +43877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.684204171,1 +43878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.963203623,1 +43880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.71080288,1 +43879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.908708627,1 +43881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.219620166,1 +43882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.21558174,1 +43884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.351900054,1 +43885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.135824392,1 +43883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.129762442,1 +43887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.436355986,1 +43886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.672078237,1 +43889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.924643944,1 +43888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.794709138,1 +43890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.753847379,1 +43891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.377271271,1 +43892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.106765868,1 +43893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.264739353,1 +43895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.95786889,1 +43894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.357202217,1 +43896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.33361284,1 +43897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.13656776,1 +43899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.835940218,1 +43898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.311547558,1 +43901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.814949374,1 +43900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.888949493,1 +43903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.33842261,1 +43902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.339082376,1 +43904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.423738103,1 +43905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.238106414,1 +43908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.244696073,1 +43907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.829676747,1 +43906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.207078463,1 +43909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,7.500394698,1 +43910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.521655067,1 +43911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.300521746,1 +43914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.268876227,1 +43915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.873333433,1 +43912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.692511885,1 +43913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.391060448,1 +43918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.671400842,1 +43917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.763828102,1 +43919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.413874813,1 +43916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.893284278,1 +43920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.127284154,1 +43921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.504329034,1 +43923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.823937045,1 +43925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.375453449,1 +43926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.740654513,1 +43922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.209685282,1 +43927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.248357926,1 +43924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.229954281,1 +43928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.636266278,1 +43929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.483094144,1 +43932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.089849823,1 +43931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.201134912,1 +43930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.804726079,1 +43933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.191295344,1 +43934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.838072154,1 +43935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.309045741,1 +43936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.150616632,1 +43937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.669345209,1 +43938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.492111628,1 +43939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.726326068,1 +43941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.011742681,1 +43943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.633541126,1 +43944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.272645192,1 +43940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.847017353,1 +43945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.955990248,1 +43942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.780900936,1 +43946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.260108195,1 +43947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.17887765,1 +43949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.848669593,1 +43951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.057568573,1 +43948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.428367227,1 +43950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,7.763782517,1 +43952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.172304628,1 +43953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.400480558,1 +43954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.56252093,1 +43955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.609057836,1 +43956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.70393524,1 +43958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.807191669,1 +43959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.035973625,1 +43960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.43268783,1 +43961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.822123365,1 +43957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.503450989,1 +43962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,9.738892711,1 +43963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.022029878,1 +43965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.324083562,1 +43964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.315230489,1 +43966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.820907918,1 +43967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.562707705,1 +43968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.86863844,1 +43969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.385896908,1 +43970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.548550868,1 +43971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.078098359,1 +43972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.164270502,1 +43975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.672037576,1 +43974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,2.717660178,1 +43973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.849313754,1 +43978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.842239307,1 +43979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.326723519,1 +43977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.259822601,1 +43976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.134976574,1 +43982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.353777425,1 +43981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.928683635,1 +43980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,6.08803705,1 +43983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.645214934,1 +43985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.328837175,1 +43984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.249501242,1 +43986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.329574802,1 +43987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.823283611,1 +43988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.720097713,1 +43989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.655976816,1 +43990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.220183148,1 +43991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.335734939,1 +43992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.965381446,1 +43994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.302163801,1 +43993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,5.620640615,1 +43995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.817880169,1 +43997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.846401927,1 +43996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.884753114,1 +43998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,4.383615782,1 +43999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.010838192,1 +44000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,4,1,3.974106715,1 +53001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.532914286,1 +53002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,7.047946549,1 +53003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.461447142,1 +53004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.154048351,1 +53005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.493143232,1 +53007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.654372407,1 +53006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.274310789,1 +53008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.37620541,1 +53009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.679758301,1 +53011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.884710906,1 +53010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,1.532384573,1 +53012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.720029987,1 +53015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.720492173,1 +53014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.387789418,1 +53013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.22990605,1 +53016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.983056638,1 +53017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,1.310674602,1 +53018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.966583885,1 +53019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.672344209,1 +53020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.271659199,1 +53021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.94816416,1 +53022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.254688996,1 +53024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.465711184,1 +53023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.380141499,1 +53025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.92319968,1 +53026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.656507732,1 +53027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.8311382,1 +53028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.082393234,1 +53031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.500288581,1 +53030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.259656566,1 +53029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.02829141,1 +53033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.542312924,1 +53035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.855613844,1 +53034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.432440558,1 +53032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.927446523,1 +53037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,7.241513487,1 +53036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.651976756,1 +53038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.435649091,1 +53040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.070112226,1 +53042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.6801821,1 +53041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.52038338,1 +53039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.831086596,1 +53046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.078798184,1 +53043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.770916831,1 +53044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.695896344,1 +53045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.115262775,1 +53048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.40380568,1 +53049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.369325769,1 +53047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.858880921,1 +53050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.975375198,1 +53052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.280853826,1 +53051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.456331254,1 +53054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.976393992,1 +53055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.016630855,1 +53056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.575037377,1 +53053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.552346058,1 +53057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.855650261,1 +53058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.371874792,1 +53059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.08905336,1 +53060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.444191036,1 +53061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.188236448,1 +53062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.457009894,1 +53063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.048997682,1 +53065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.045381625,1 +53064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.718743967,1 +53066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.333695165,1 +53068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.164535653,1 +53067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,7.763198372,1 +53070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.612155194,1 +53072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.361319237,1 +53071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,1.308774011,1 +53073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.3738572,1 +53069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.962178464,1 +53074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.493285578,1 +53075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.490339654,1 +53077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.590357692,1 +53076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.890750947,1 +53078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.671806561,1 +53079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.437165123,1 +53081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.038161933,1 +53080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.540750219,1 +53082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,9.928034508,1 +53084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.448209956,1 +53083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.265846826,1 +53085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,8.020236722,1 +53086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.975032838,1 +53088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.031543115,1 +53087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.439815902,1 +53089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.804357856,1 +53090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.808846003,1 +53091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.233514381,1 +53092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.103421493,1 +53093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.235827305,1 +53094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.320121135,1 +53095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.283576598,1 +53096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.622746141,1 +53098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.849724266,1 +53097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.66778574,1 +53099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.682523659,1 +53100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.850154871,1 +53102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.214636737,1 +53101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,1.745812128,1 +53103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.693751959,1 +53104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.232576686,1 +53105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.244277619,1 +53107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.966556317,1 +53106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.57303718,1 +53108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.773791135,1 +53112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,8.163330821,1 +53110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.396194828,1 +53111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.214524119,1 +53109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.562528634,1 +53114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.179771361,1 +53113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.893739411,1 +53115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.659869731,1 +53116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.601345301,1 +53117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.547103854,1 +53118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.040083417,1 +53119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.684605843,1 +53120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.635323013,1 +53121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.004325083,1 +53122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.789858336,1 +53123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.794270059,1 +53125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.953292658,1 +53126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.668479859,1 +53127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.013471061,1 +53124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.427747004,1 +53128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.7971015,1 +53129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.093588981,1 +53130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.166743821,1 +53132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.728055517,1 +53131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.970735227,1 +53133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.53533808,1 +53134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.093704642,1 +53135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.764222664,1 +53137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.351471198,1 +53136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.682323696,1 +53139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.522069754,1 +53138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.301160159,1 +53140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.523514901,1 +53141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.187147412,1 +53142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.626025042,1 +53143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,7.153579962,1 +53144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.864719957,1 +53146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.972043159,1 +53147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.357973247,1 +53148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.31207231,1 +53149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.016965352,1 +53150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.994093379,1 +53145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.678400701,1 +53151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.298823737,1 +53154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,7.270065256,1 +53152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.575301379,1 +53153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.392679601,1 +53155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.289095327,1 +53156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.769551918,1 +53158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.761655135,1 +53157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.855077682,1 +53159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.905547575,1 +53161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.39007302,1 +53162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.032317602,1 +53160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.054490077,1 +53163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.314216746,1 +53164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.390881386,1 +53165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.250670486,1 +53167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,9.046101799,1 +53168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.110995776,1 +53166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.604643286,1 +53169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.029772248,1 +53170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.913727639,1 +53171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,7.558948435,1 +53172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.10423122,1 +53173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.994420025,1 +53174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.548781637,1 +53175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.794604444,1 +53177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.087146045,1 +53178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.952362123,1 +53176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.128560618,1 +53179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.397627846,1 +53180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.479135695,1 +53181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.325189154,1 +53183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.95566746,1 +53182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.850908424,1 +53186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.377551412,1 +53184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.176272481,1 +53187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.908260124,1 +53188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.241163636,1 +53185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.295626943,1 +53190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.080886425,1 +53191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.807897903,1 +53193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.86562547,1 +53194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.291281313,1 +53189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.395454875,1 +53192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.355302417,1 +53197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.091005276,1 +53198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.622124614,1 +53199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.171312821,1 +53196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.377738442,1 +53195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.896693836,1 +53200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.473047645,1 +53201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.199982427,1 +53202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.20124075,1 +53204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.861408124,1 +53203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.258499104,1 +53206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.312210693,1 +53208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.561688684,1 +53207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.051959379,1 +53209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.889267705,1 +53205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,7.96689417,1 +53210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.957681248,1 +53211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.458923412,1 +53213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.475380681,1 +53215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.686327769,1 +53212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.112303613,1 +53214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.757735277,1 +53216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.014323899,1 +53217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.374801445,1 +53218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.917530911,1 +53219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.648057024,1 +53220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.707599005,1 +53222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.717106522,1 +53223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.370633022,1 +53221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.340594529,1 +53225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.144915156,1 +53226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.766588497,1 +53227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.069000674,1 +53224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.42299851,1 +53230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.695505203,1 +53231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.541103012,1 +53228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,7.842530692,1 +53229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.530345878,1 +53232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.75560598,1 +53233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.782030816,1 +53234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.910955868,1 +53235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.50189023,1 +53237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.761545666,1 +53238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,7.071123985,1 +53239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.906090011,1 +53241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.762216999,1 +53236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.351382489,1 +53242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.484875086,1 +53240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.478054594,1 +53244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.965937342,1 +53243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.144858987,1 +53245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.826407391,1 +53246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.134418317,1 +53247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.634495856,1 +53248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.163238805,1 +53250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.127116752,1 +53249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.646592009,1 +53251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.908190568,1 +53252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.925796234,1 +53253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.628712837,1 +53254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.65220749,1 +53256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.432631056,1 +53257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.871653555,1 +53255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.539962716,1 +53258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.029995446,1 +53261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.739005421,1 +53259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.088211846,1 +53260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.577049907,1 +53263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.494124392,1 +53264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.229741809,1 +53265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.981805472,1 +53262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.502304365,1 +53266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.278221359,1 +53267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.523262137,1 +53268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.708302439,1 +53269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.465608724,1 +53271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.059042678,1 +53272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.879796218,1 +53270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.135720423,1 +53273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.949853722,1 +53274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.273142014,1 +53276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.201482148,1 +53277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.675076044,1 +53275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.381655371,1 +53279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.084084607,1 +53278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,7.191663447,1 +53281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.284214085,1 +53282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.534319085,1 +53283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.782333042,1 +53284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.014985106,1 +53285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.158573141,1 +53286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.639121076,1 +53287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.286875401,1 +53280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.817427765,1 +53288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.152423888,1 +53289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.460148442,1 +53292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.564207958,1 +53290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.834899898,1 +53293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.341915796,1 +53291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.524231058,1 +53294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.488429848,1 +53295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.509551278,1 +53296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.542772234,1 +53297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,1.964807471,1 +53298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.489587669,1 +53299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.516834315,1 +53300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.634617393,1 +53301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.519439829,1 +53304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.343307487,1 +53305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.309432175,1 +53303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.883256456,1 +53306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.510973075,1 +53302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.59108956,1 +53307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.743589382,1 +53308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.146057956,1 +53309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.200312606,1 +53310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,1.736749317,1 +53311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.482667662,1 +53312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.242512972,1 +53313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.24982377,1 +53314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.624822015,1 +53315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.691432177,1 +53316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.249386206,1 +53317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.292488141,1 +53318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.476654795,1 +53319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.904974491,1 +53321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.892895164,1 +53320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.363613774,1 +53322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.65979483,1 +53323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.953405516,1 +53324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.952922104,1 +53325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.415198685,1 +53327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.561608554,1 +53328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.279005235,1 +53326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.143886935,1 +53329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.394124043,1 +53330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.705825409,1 +53331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.742762162,1 +53332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,7.528823688,1 +53333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.897903504,1 +53334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.500170618,1 +53335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.836664642,1 +53336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.085744271,1 +53337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.057611857,1 +53338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.432572905,1 +53339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.70824761,1 +53341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.330052975,1 +53342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.538684997,1 +53340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.32015166,1 +53343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.055902431,1 +53344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.246393249,1 +53345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.087710075,1 +53347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.655833664,1 +53346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.767463365,1 +53348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.275331523,1 +53349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.016761655,1 +53350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.404478411,1 +53352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.103490859,1 +53353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.70452993,1 +53354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.858748831,1 +53351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.01137985,1 +53355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.577983453,1 +53356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.419989148,1 +53357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.024502759,1 +53358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.314900148,1 +53359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.681218806,1 +53360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.246491225,1 +53361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.106909034,1 +53362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.956612385,1 +53364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.52083289,1 +53363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.58183096,1 +53365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.558310325,1 +53366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.281706513,1 +53368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.163556242,1 +53367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.405578836,1 +53369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.138951023,1 +53371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.736884395,1 +53373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.835362296,1 +53372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.235367211,1 +53374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.692863202,1 +53375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.599250856,1 +53370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.503562346,1 +53376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.355104588,1 +53377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.094144337,1 +53378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.131725393,1 +53380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.246151481,1 +53379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.902102246,1 +53381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,7.349942134,1 +53382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.866884503,1 +53384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.852599014,1 +53383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.787487517,1 +53385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,7.500379252,1 +53386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.80437048,1 +53387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.71299107,1 +53388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.285503435,1 +53389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.978245226,1 +53390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.62752962,1 +53392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.778509428,1 +53393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.995044871,1 +53394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.433250803,1 +53395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.331754552,1 +53396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.834638813,1 +53391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.075189381,1 +53400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.783134202,1 +53397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.737454585,1 +53398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.819097286,1 +53399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.99495671,1 +53401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.960609153,1 +53402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.964871601,1 +53403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.504701354,1 +53404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,7.152641768,1 +53407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.003171617,1 +53406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.977264057,1 +53405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.881173057,1 +53408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.209808626,1 +53409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.973692437,1 +53410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.484338108,1 +53412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.385504634,1 +53414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.823367275,1 +53413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.015989121,1 +53415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.728404082,1 +53411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.833718976,1 +53416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.960806056,1 +53417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.760000837,1 +53418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.280024733,1 +53419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.508737852,1 +53420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.854238683,1 +53421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.363602622,1 +53422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.842538614,1 +53423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.691506753,1 +53424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.582624544,1 +53425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.038948166,1 +53426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.737973152,1 +53427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.247658617,1 +53429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.792164825,1 +53428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.573713398,1 +53430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,7.689836179,1 +53431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.556152353,1 +53432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.452323563,1 +53433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.565162875,1 +53434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.125972025,1 +53436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.697329342,1 +53435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.688510999,1 +53437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.979475022,1 +53438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.391333045,1 +53439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.572365568,1 +53440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.835532728,1 +53441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,7.201174972,1 +53442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.696163345,1 +53443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.600084279,1 +53444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.021839826,1 +53446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.29834283,1 +53445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.689216162,1 +53447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.464823175,1 +53449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.876692836,1 +53450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.11072158,1 +53451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.84111642,1 +53452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.608596914,1 +53453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.436488884,1 +53454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.412752342,1 +53448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.027523376,1 +53455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.13740574,1 +53456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.265150728,1 +53457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.332178524,1 +53458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,1.762475354,1 +53462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.859194434,1 +53459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.805220269,1 +53461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.855295768,1 +53460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.634055468,1 +53465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.140017118,1 +53464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.61011089,1 +53466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.741794367,1 +53467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.458751767,1 +53468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.154391787,1 +53469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.674098435,1 +53463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.665848149,1 +53470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.495565155,1 +53471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.89341987,1 +53472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.457779714,1 +53475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.140570222,1 +53473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.157608058,1 +53476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.891112076,1 +53474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.757008085,1 +53478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,8.120814959,1 +53477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.210605292,1 +53479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.127975243,1 +53480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.104706505,1 +53481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.108083316,1 +53482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.45081518,1 +53483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.395242486,1 +53484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.639167403,1 +53487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.846069641,1 +53486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,7.216784785,1 +53488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.401474504,1 +53490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.723256276,1 +53489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.957227407,1 +53485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,7.231847341,1 +53491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.97584464,1 +53494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.497485938,1 +53492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.126233639,1 +53493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.145018504,1 +53495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.939133122,1 +53497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.790601541,1 +53496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.097782322,1 +53498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.682836983,1 +53499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.1906831,1 +53500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.429193183,1 +53501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.400774476,1 +53502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.398826362,1 +53503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.250831396,1 +53504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.933242525,1 +53506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.968606548,1 +53507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.900657024,1 +53508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.719198572,1 +53505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.086741026,1 +53509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.40397263,1 +53511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.200193906,1 +53510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.012131604,1 +53513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.151627441,1 +53512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.742220103,1 +53514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.87390169,1 +53515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.146509135,1 +53516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.375566515,1 +53517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.288832495,1 +53518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.656112638,1 +53519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.084866463,1 +53520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.493290958,1 +53521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.359483256,1 +53522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.411270997,1 +53524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.659248047,1 +53526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.035989123,1 +53523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.567462154,1 +53527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,1.991288785,1 +53525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.223030539,1 +53528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,7.067415691,1 +53530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.130388001,1 +53531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.911029644,1 +53529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.712537409,1 +53532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.575061013,1 +53533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.168945852,1 +53534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.361390374,1 +53535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.439096939,1 +53537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.54051495,1 +53536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.194734159,1 +53538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.968995414,1 +53539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.809637001,1 +53540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.725725473,1 +53541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.106958014,1 +53542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.614492824,1 +53544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.25824744,1 +53545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.512374179,1 +53546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.431775915,1 +53547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.523171117,1 +53548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.059137102,1 +53543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.449982357,1 +53549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.390374496,1 +53552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.084560232,1 +53551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.385041012,1 +53550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.231588441,1 +53554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.324027106,1 +53553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.40713392,1 +53555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.187620709,1 +53556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.588806535,1 +53557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.222678871,1 +53558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.528278097,1 +53559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.562737574,1 +53560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.696236045,1 +53561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.185360306,1 +53563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.540929212,1 +53562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.855690676,1 +53564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.017106247,1 +53566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.008788041,1 +53567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.944072329,1 +53565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.117113957,1 +53568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.346711501,1 +53569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.289575459,1 +53571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.783757621,1 +53572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.754446571,1 +53573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.269789278,1 +53574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.069109849,1 +53570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.654144883,1 +53575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.898328037,1 +53576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.048192326,1 +53577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.022145451,1 +53579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.954348947,1 +53578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.163386786,1 +53580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.165906533,1 +53583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.631042236,1 +53581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.823827221,1 +53582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.930721312,1 +53584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.808362151,1 +53585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.893721842,1 +53586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.285961958,1 +53587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.035649036,1 +53588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.539067781,1 +53590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.027126681,1 +53591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,10.91671387,1 +53592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.850775883,1 +53593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.952684965,1 +53594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.306851094,1 +53595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.979951014,1 +53589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.774333034,1 +53599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.613604034,1 +53598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.659050695,1 +53597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.273609799,1 +53596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.770565794,1 +53600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.76579087,1 +53601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.097692006,1 +53603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.040664298,1 +53602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.106164555,1 +53604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.683368844,1 +53605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.553705789,1 +53606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.406117697,1 +53607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.068798543,1 +53609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.566564566,1 +53610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.669946166,1 +53611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.817768716,1 +53612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.665042215,1 +53614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.929011037,1 +53608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.524420032,1 +53613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.659362545,1 +53615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.677189939,1 +53617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.000005575,1 +53616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.711578795,1 +53619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.212329601,1 +53618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.635919288,1 +53621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,7.97738548,1 +53622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.674839661,1 +53623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.967829208,1 +53620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.628435498,1 +53624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.611475072,1 +53625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.908048401,1 +53626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.230318049,1 +53628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.696349918,1 +53630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.293573081,1 +53629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.759747597,1 +53627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.377757125,1 +53631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.883093241,1 +53634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.048205057,1 +53632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,1.864050195,1 +53633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,8.745901039,1 +53635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.192587589,1 +53636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.071481642,1 +53637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.610689147,1 +53638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.686765604,1 +53639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.364686098,1 +53641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.113663571,1 +53640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.920874411,1 +53643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.750323245,1 +53642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.594918706,1 +53644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.762265277,1 +53645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.830103138,1 +53647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.750745408,1 +53646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.927168139,1 +53648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.485547353,1 +53649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.266359721,1 +53650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.090423596,1 +53651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.629611714,1 +53652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,7.087403862,1 +53653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.678236974,1 +53654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.541507491,1 +53655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.457558483,1 +53656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.326686644,1 +53658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.698685359,1 +53657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.126384903,1 +53659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.490744976,1 +53660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.174502434,1 +53661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,7.596438346,1 +53662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.365557361,1 +53664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.578734754,1 +53665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.915943208,1 +53666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.156299797,1 +53663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.766390238,1 +53667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.964434973,1 +53668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.104099553,1 +53669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.595943004,1 +53671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.198738099,1 +53672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.608123075,1 +53670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.435217897,1 +53673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.120640398,1 +53676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.930073835,1 +53674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,9.002329066,1 +53675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.810545648,1 +53678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.464657248,1 +53677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.399046172,1 +53679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.496715129,1 +53680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.546939966,1 +53683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.811927853,1 +53682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.078534135,1 +53684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.711420623,1 +53681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.862983936,1 +53685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.375756084,1 +53687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.661186065,1 +53686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.692469438,1 +53688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.793020883,1 +53689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.220009559,1 +53692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.958054068,1 +53691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.653689181,1 +53690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.601539763,1 +53693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.988507852,1 +53694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.101193468,1 +53696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.439487534,1 +53695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.70695672,1 +53697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.629724022,1 +53698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.039865466,1 +53699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,1.998646961,1 +53700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.017150663,1 +53701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.296258768,1 +53703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.889742814,1 +53704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.101114722,1 +53705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.555652517,1 +53702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,1.867857735,1 +53707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.882001747,1 +53706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,1.98473821,1 +53709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.19496951,1 +53708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,8.03417444,1 +53710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.651841079,1 +53711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.741893862,1 +53712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.964787004,1 +53713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.161690219,1 +53714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.963673323,1 +53715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.269295554,1 +53716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.205099172,1 +53717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.621806476,1 +53719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.679772865,1 +53718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.384144981,1 +53721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.856576345,1 +53720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.388263406,1 +53722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.672254776,1 +53724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.896407471,1 +53726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.983507098,1 +53725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.730995063,1 +53727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.959146421,1 +53728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.341545983,1 +53729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.756983608,1 +53723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.342507159,1 +53730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.172625182,1 +53731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.397241218,1 +53732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.838939028,1 +53734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.83468884,1 +53733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.959028076,1 +53735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.128805965,1 +53736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.588873514,1 +53738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.860480302,1 +53737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.640592073,1 +53740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.276967063,1 +53739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.641470975,1 +53742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.291160606,1 +53741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.970659481,1 +53743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.428229896,1 +53744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.387018588,1 +53745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.856212396,1 +53746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.686970211,1 +53747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.612377455,1 +53749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.165336654,1 +53751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.720663313,1 +53748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.957899158,1 +53750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.935027338,1 +53754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.483963765,1 +53752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.074974764,1 +53753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.420747608,1 +53755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.189244622,1 +53757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.044586861,1 +53758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.890801294,1 +53756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.780859489,1 +53759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.514025127,1 +53760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.778587197,1 +53761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.540499533,1 +53763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.327220054,1 +53764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.975445246,1 +53762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.828086468,1 +53765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.061451377,1 +53766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,7.735713732,1 +53768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.625137723,1 +53767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.32536618,1 +53769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.683495741,1 +53770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.269200637,1 +53772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.204806501,1 +53771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.571679429,1 +53773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.271249129,1 +53775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,7.286347942,1 +53774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.420877814,1 +53776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.321637117,1 +53777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.235596951,1 +53778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.072896567,1 +53779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.130135362,1 +53781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.462668739,1 +53780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.122087928,1 +53783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.633300743,1 +53782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.051437276,1 +53784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.440511332,1 +53785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.890001,1 +53787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.894279737,1 +53786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.06395511,1 +53788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.973562329,1 +53789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.526268126,1 +53790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.067562415,1 +53791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.113280658,1 +53792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.670448454,1 +53793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.313656365,1 +53794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.694119444,1 +53795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.232312826,1 +53796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.009089408,1 +53798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.64220995,1 +53799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.112229911,1 +53797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.225059928,1 +53800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.446095336,1 +53802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.720784507,1 +53801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.663579622,1 +53803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.925302799,1 +53804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.307800283,1 +53805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.526771748,1 +53806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.312326882,1 +53808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.382859822,1 +53807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.969114568,1 +53809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.098973861,1 +53810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.757862889,1 +53812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.190106845,1 +53811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.779116393,1 +53813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.542407311,1 +53814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.767067262,1 +53816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.778802327,1 +53815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.100341233,1 +53817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.157773896,1 +53818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,7.384660188,1 +53820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,1.713401905,1 +53821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.022815121,1 +53822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.828350946,1 +53823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.874561009,1 +53819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.714474471,1 +53824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.724482223,1 +53825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.780683161,1 +53827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.305352143,1 +53826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.458593326,1 +53829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.788168144,1 +53828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.749296991,1 +53830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.088264933,1 +53833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.319499772,1 +53832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.530414755,1 +53831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.354936179,1 +53836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.261981537,1 +53835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.768076272,1 +53834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,1.907238776,1 +53838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.833937601,1 +53839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.790133841,1 +53837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.647393165,1 +53840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.932082462,1 +53841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.992879895,1 +53844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.527381589,1 +53842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.978936409,1 +53843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.588489704,1 +53845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.909817832,1 +53847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.372543968,1 +53846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.958575693,1 +53850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.984854725,1 +53849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.884649422,1 +53848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.079193901,1 +53852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.939696544,1 +53853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.215071608,1 +53851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.628280716,1 +53856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.617994712,1 +53855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.511375006,1 +53854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.925372185,1 +53857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.208399056,1 +53860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.42376216,1 +53859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.086110879,1 +53861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.544322935,1 +53858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.982946952,1 +53862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.049138724,1 +53863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.74657202,1 +53864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.28003323,1 +53865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.789156558,1 +53866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.343275664,1 +53869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.190550154,1 +53870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.494027808,1 +53867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.802289041,1 +53871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.480384025,1 +53868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.689627159,1 +53873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.62605999,1 +53875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.532930919,1 +53872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.012653243,1 +53874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.098400164,1 +53876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.460277031,1 +53878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.188995716,1 +53877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.110043784,1 +53879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.34566849,1 +53880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.603697037,1 +53881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.694263172,1 +53882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.135309877,1 +53883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.810750058,1 +53885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.716350824,1 +53886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.99422064,1 +53887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.821117782,1 +53884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.043534788,1 +53888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.542891681,1 +53891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.353349924,1 +53890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.692379939,1 +53889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.948955687,1 +53892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.174909973,1 +53893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.498730974,1 +53894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.281906339,1 +53895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.534457151,1 +53896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.983258307,1 +53897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.369023135,1 +53898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,1.717227747,1 +53899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.726637124,1 +53900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.026599866,1 +53902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.267374766,1 +53903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.077255107,1 +53904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.316835361,1 +53901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.972022022,1 +53905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.704882822,1 +53906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.152498544,1 +53907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.216096023,1 +53908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.085280251,1 +53909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.388243268,1 +53910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.418192533,1 +53912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.314736863,1 +53911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.69082377,1 +53913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.012774724,1 +53914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.320421577,1 +53916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.691546006,1 +53915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.469803951,1 +53917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.125269653,1 +53918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.305649508,1 +53919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.745370383,1 +53921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.71542189,1 +53920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.140680003,1 +53923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,8.056419117,1 +53922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.506513511,1 +53924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.922984696,1 +53926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.457806047,1 +53927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.206217334,1 +53925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.897861238,1 +53928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.075800867,1 +53929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,1.951058058,1 +53930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.737828665,1 +53931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.627385667,1 +53932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,7.413563445,1 +53933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.559954425,1 +53934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.923532593,1 +53935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.880483759,1 +53936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.482730219,1 +53937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.882685195,1 +53938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,7.467498712,1 +53940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.48123046,1 +53939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.224427097,1 +53941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.615516291,1 +53942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.031025678,1 +53943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.612417274,1 +53945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.900630298,1 +53944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,7.321046252,1 +53946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.83508349,1 +53947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.076076581,1 +53948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.762524077,1 +53949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.284586856,1 +53950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.309409276,1 +53952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.743510789,1 +53951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.203849685,1 +53953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.04585911,1 +53954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.394009075,1 +53955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.94030302,1 +53956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.606693422,1 +53958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.077037331,1 +53959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.431308686,1 +53960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.387020611,1 +53961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.996182753,1 +53962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.226604929,1 +53963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.895057514,1 +53957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.779600959,1 +53964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.468771719,1 +53965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.782768284,1 +53966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.361455878,1 +53967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.160631373,1 +53968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.601411823,1 +53969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.258056394,1 +53971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.332737769,1 +53970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.608034038,1 +53972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.406992983,1 +53973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.316010258,1 +53974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.955600457,1 +53975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.412739719,1 +53977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.678399827,1 +53976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.546834947,1 +53979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.023389705,1 +53980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.685473729,1 +53981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.942768826,1 +53982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.135092002,1 +53978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.944499715,1 +53983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,7.123352385,1 +53984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.877152114,1 +53985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.28036342,1 +53986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,2.388476513,1 +53988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.701316956,1 +53987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.204074258,1 +53989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,7.238602126,1 +53990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.018224464,1 +53991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.359112047,1 +53992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.849787005,1 +53993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.563799206,1 +53995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.98583168,1 +53996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.530203163,1 +53997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,3.321583942,1 +53994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,5.271439989,1 +54000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.262774415,1 +53999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,6.414829339,1 +53998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,4,1,4.86065992,1 +63002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.825414073,1 +63001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,7.173242155,1 +63003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.907408332,1 +63004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.833361477,1 +63005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.010672204,1 +63006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.852578635,1 +63008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,7.256997445,1 +63007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.954378779,1 +63009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.388527696,1 +63011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.842073036,1 +63012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.066889078,1 +63013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.014316354,1 +63014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.269654798,1 +63015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.219458506,1 +63010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.517264345,1 +63016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.408878107,1 +63017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.110187974,1 +63018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,8.173558901,1 +63019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.559063925,1 +63020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.286754491,1 +63021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.517965347,1 +63022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.389148828,1 +63023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.871240265,1 +63024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.63160959,1 +63025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.970140085,1 +63026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.799001059,1 +63027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.848046772,1 +63028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.318685133,1 +63029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.879286173,1 +63030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.2315692,1 +63032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.680817048,1 +63033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.674112694,1 +63031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.126935809,1 +63034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.895686716,1 +63035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.442635683,1 +63036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.052948747,1 +63038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.550735943,1 +63039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.497479278,1 +63040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.057204507,1 +63037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.316489507,1 +63041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.036710491,1 +63042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.480854262,1 +63043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.018524534,1 +63044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.50236695,1 +63045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.825559179,1 +63046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.177307112,1 +63047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.360923019,1 +63048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.435849531,1 +63049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.544207858,1 +63050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.799324593,1 +63051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.297124934,1 +63053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.810791811,1 +63054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.194074653,1 +63052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.801856981,1 +63055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.757797168,1 +63056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.7839958,1 +63057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.153893148,1 +63058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.150231063,1 +63059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.978403555,1 +63060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.304730647,1 +63061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.664226969,1 +63063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.000642762,1 +63062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.970518612,1 +63064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.64062472,1 +63065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.736460249,1 +63066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.820931566,1 +63067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.451399853,1 +63068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.698120811,1 +63069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.166127213,1 +63070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.926855743,1 +63071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.741569354,1 +63072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.625191315,1 +63073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.444296008,1 +63074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.310013017,1 +63075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.37364517,1 +63076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.804518791,1 +63077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.045942936,1 +63078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.61689425,1 +63079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.09188861,1 +63080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.017614707,1 +63082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.744214148,1 +63081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.662942553,1 +63083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.203474114,1 +63084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.358634703,1 +63085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.902738499,1 +63087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.440113692,1 +63088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.201684122,1 +63089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.587204831,1 +63086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.792264963,1 +63090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.81421207,1 +63092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.02305343,1 +63091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.907274415,1 +63093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.924217228,1 +63094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.778375573,1 +63095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.66845258,1 +63097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.611959575,1 +63096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.669994011,1 +63098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.177650674,1 +63099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.943493562,1 +63101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.37915,1 +63100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.096961576,1 +63103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.141169646,1 +63102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.147550404,1 +63104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.199386507,1 +63107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.70254202,1 +63106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.341322419,1 +63108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.107461087,1 +63110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.821134003,1 +63105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.502918296,1 +63109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.920658482,1 +63111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.196836829,1 +63112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.218553671,1 +63114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.371643828,1 +63113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.978651497,1 +63115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.158947876,1 +63116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.608576132,1 +63117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.520774214,1 +63118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.038150768,1 +63119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.90000823,1 +63120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,1.942898278,1 +63122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.152834382,1 +63121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,7.317339197,1 +63123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.297964859,1 +63124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.916954481,1 +63126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.445386837,1 +63127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.434301368,1 +63128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,1.758520118,1 +63125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.432113914,1 +63130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.25061775,1 +63129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.218000606,1 +63131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.710740843,1 +63132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.426960941,1 +63134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.288840491,1 +63133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.533812801,1 +63135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.825896012,1 +63136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.418007132,1 +63137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.412734672,1 +63138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.807990747,1 +63139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.201077429,1 +63141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.202218983,1 +63140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.148175512,1 +63142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.382296984,1 +63143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.112517574,1 +63144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.762970322,1 +63145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.645191121,1 +63146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.014721722,1 +63147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.682695909,1 +63148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.714443249,1 +63150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.797166069,1 +63149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.94266161,1 +63151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.944395295,1 +63152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.859444822,1 +63153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.76184321,1 +63154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.128800748,1 +63155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.435451717,1 +63159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.170462294,1 +63157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.014769733,1 +63156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.266134988,1 +63158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.97631096,1 +63161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.376913275,1 +63160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.87073482,1 +63164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,7.29771626,1 +63163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.45204102,1 +63165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.064590235,1 +63162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.49116236,1 +63166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.667787216,1 +63167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.514075008,1 +63168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.819227915,1 +63169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.228072574,1 +63171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.406603527,1 +63172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.874287377,1 +63170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.766175368,1 +63173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.496499152,1 +63175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.874643281,1 +63176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,7.483525268,1 +63174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.197242892,1 +63179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.973922929,1 +63178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.705128175,1 +63180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.953460455,1 +63177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.132425505,1 +63182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.520496119,1 +63181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.942458865,1 +63183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.340242439,1 +63186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.504547636,1 +63187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.357303258,1 +63185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.127349376,1 +63190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.994715245,1 +63184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.866870128,1 +63188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.964857429,1 +63189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.751792047,1 +63192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.239872332,1 +63194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.913744308,1 +63193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.932815675,1 +63191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.915934874,1 +63195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.672486965,1 +63196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.691364477,1 +63197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.300666818,1 +63201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.731761189,1 +63200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.524405775,1 +63198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.00332577,1 +63204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.188645603,1 +63199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.54374699,1 +63202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.790937601,1 +63203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.05433761,1 +63205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.366936016,1 +63206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.086437805,1 +63207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.667086147,1 +63209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.272500198,1 +63208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.323031319,1 +63210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.705866641,1 +63211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.427073851,1 +63213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.307355222,1 +63214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.641350433,1 +63215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.236765716,1 +63216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.718853289,1 +63212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.310537435,1 +63218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.64872271,1 +63217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.17083867,1 +63219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.839450381,1 +63220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.472079504,1 +63221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.628652493,1 +63222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,7.381448564,1 +63223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.011212284,1 +63224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.018269072,1 +63225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,7.043661707,1 +63227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.867455239,1 +63228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.537191795,1 +63226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.699469537,1 +63229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.943451022,1 +63230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.679325036,1 +63232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.706012555,1 +63231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.489617981,1 +63233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,1.986493729,1 +63234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.198160576,1 +63236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.07914025,1 +63235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.977134842,1 +63237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.300415742,1 +63238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.979716855,1 +63239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.99869797,1 +63241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,7.67962232,1 +63240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.921693321,1 +63242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.172266457,1 +63243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.350279735,1 +63244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.844893147,1 +63245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.388845469,1 +63246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.545529869,1 +63248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.812887279,1 +63247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.055981453,1 +63249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.460770403,1 +63251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.41136047,1 +63250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.065758215,1 +63252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,7.252470753,1 +63254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.804820754,1 +63253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,7.638272001,1 +63256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.499544719,1 +63255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.548060835,1 +63257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.362594711,1 +63259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,7.543638843,1 +63258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.987176287,1 +63260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.685378757,1 +63262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.656474459,1 +63263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.725085994,1 +63261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.829351719,1 +63264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.450890842,1 +63265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,7.525723082,1 +63266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.104945234,1 +63267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.360353608,1 +63269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.242041618,1 +63271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.344028688,1 +63270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.785828867,1 +63272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.111301879,1 +63268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.631366813,1 +63273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.014010742,1 +63274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.023938833,1 +63276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.266749924,1 +63278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.800646853,1 +63275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.07232697,1 +63277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.426758236,1 +63279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.745587376,1 +63281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.767003049,1 +63282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.070169183,1 +63280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.737846004,1 +63283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.675682973,1 +63284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.897265031,1 +63285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.512919442,1 +63286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.048008578,1 +63288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.909828091,1 +63289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.207613947,1 +63290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.474041103,1 +63287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.749945871,1 +63292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.323131448,1 +63291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.4298407,1 +63293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.965255057,1 +63294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.175786347,1 +63296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.357469697,1 +63298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.467659535,1 +63295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.207395716,1 +63297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.076821946,1 +63299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.053802837,1 +63301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.854885656,1 +63300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.437148446,1 +63302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.569964506,1 +63303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.329533964,1 +63304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.982064197,1 +63305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.047355506,1 +63306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,1.246721729,1 +63307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,7.979959273,1 +63308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.008988738,1 +63309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.124241058,1 +63310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.424653738,1 +63311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,1.568885748,1 +63312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.891819109,1 +63313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.576931907,1 +63314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.931947238,1 +63315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.605661166,1 +63316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.55446081,1 +63317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.734956909,1 +63318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.057607406,1 +63319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.841137389,1 +63320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.347333697,1 +63321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.919466701,1 +63323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.863771596,1 +63324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,0.984741275,1 +63322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.768263885,1 +63325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.904596134,1 +63327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,7.524758058,1 +63326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.715152864,1 +63331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.12609921,1 +63330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.713674887,1 +63329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.330396005,1 +63333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.26082062,1 +63332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.474314813,1 +63334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.703497117,1 +63328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.391644718,1 +63335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.755926061,1 +63337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.426620382,1 +63336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.392721748,1 +63338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.247371619,1 +63339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.318311184,1 +63340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.742529331,1 +63341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.927495162,1 +63342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.417212828,1 +63343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.356193775,1 +63344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.826249061,1 +63345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.672304476,1 +63346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.31071891,1 +63347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.132323649,1 +63348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.093978424,1 +63349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.141759329,1 +63351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.515113271,1 +63352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.102739129,1 +63353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.038875101,1 +63350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.091157128,1 +63354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.46487651,1 +63355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.633800661,1 +63356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.05894433,1 +63357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.732281518,1 +63358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.990624643,1 +63360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.059604116,1 +63359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.825934713,1 +63361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.786297417,1 +63364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.380513536,1 +63362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.990623391,1 +63363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.022116573,1 +63365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.087077781,1 +63367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.597433587,1 +63366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.544440677,1 +63368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.562413008,1 +63370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.913233659,1 +63371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.50694573,1 +63372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.661935301,1 +63369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.908490749,1 +63373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.424110538,1 +63374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.193736661,1 +63375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.966445421,1 +63376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.00305783,1 +63377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.909592558,1 +63378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.032892198,1 +63379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.395349701,1 +63381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.592866197,1 +63382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.112868507,1 +63383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.300188289,1 +63380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.537258606,1 +63385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.119876127,1 +63384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.360758017,1 +63386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.689533472,1 +63387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.831233695,1 +63390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.407456017,1 +63389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.311193854,1 +63388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.034646351,1 +63391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.551547397,1 +63392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.424599833,1 +63393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.992799964,1 +63394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.241021527,1 +63396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.728295597,1 +63397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.508036334,1 +63395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.912703947,1 +63398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.649403112,1 +63399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.720629434,1 +63400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.625973153,1 +63401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.84340759,1 +63402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.809556788,1 +63403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.790988403,1 +63404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,1.816738782,1 +63406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.539207292,1 +63405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.454513196,1 +63407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.265070118,1 +63410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.333227934,1 +63409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.477222696,1 +63408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.059201627,1 +63411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.504262411,1 +63412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.87917654,1 +63413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.822606202,1 +63414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,1.954164655,1 +63416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.855061086,1 +63417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.114453744,1 +63415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.409953363,1 +63418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.654140433,1 +63419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.509977624,1 +63421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.591755143,1 +63420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.284313287,1 +63423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.163640715,1 +63424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.029540805,1 +63425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.010770617,1 +63426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.892869083,1 +63427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.449036356,1 +63422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.121004403,1 +63428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.574241729,1 +63429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.312343702,1 +63432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.518395632,1 +63430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,7.131889275,1 +63431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.092465961,1 +63433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.8112452,1 +63435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.158059822,1 +63436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.602487025,1 +63434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.750452853,1 +63437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.649947595,1 +63438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.280011348,1 +63440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.131837447,1 +63441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.056125475,1 +63442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.402308493,1 +63443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.410802029,1 +63444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.78025933,1 +63439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.760155873,1 +63446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.998362806,1 +63445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.993248545,1 +63447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.969713582,1 +63448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.45354257,1 +63450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.340146011,1 +63449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.792688228,1 +63451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.743461233,1 +63452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.162816067,1 +63453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.268484933,1 +63454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.976998443,1 +63455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.778402975,1 +63456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.106972597,1 +63457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.853154664,1 +63458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,1.416514543,1 +63459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.200500044,1 +63461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.202281374,1 +63462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.411340098,1 +63460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.006927856,1 +63466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.334217397,1 +63463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.690298948,1 +63465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,7.267596454,1 +63464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.476738402,1 +63467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.29894854,1 +63468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.07108524,1 +63469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.746454774,1 +63470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.431100223,1 +63471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.254553106,1 +63472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.147902912,1 +63473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.027448488,1 +63474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.516420523,1 +63475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.429660729,1 +63477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.903039669,1 +63478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.69398311,1 +63476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.86568168,1 +63479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.04383951,1 +63480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.536544545,1 +63481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.00833722,1 +63483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.688778277,1 +63482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.503885673,1 +63484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.034232951,1 +63485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.831919258,1 +63486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,7.36501838,1 +63488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.572588219,1 +63489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,7.871516063,1 +63487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.818573015,1 +63490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.622135727,1 +63491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.308700669,1 +63492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.806629926,1 +63493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.359931465,1 +63494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.663868597,1 +63495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.988466694,1 +63496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.372714743,1 +63497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.755485856,1 +63498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.97969662,1 +63499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.719279717,1 +63500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.799708891,1 +63502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.786511414,1 +63503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.165306982,1 +63504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.202618344,1 +63505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.551846064,1 +63506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.174796897,1 +63501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.896274733,1 +63507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.824913547,1 +63508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,7.307097702,1 +63509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.497961806,1 +63511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.022286529,1 +63510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.669631821,1 +63513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.206447527,1 +63514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.271470074,1 +63512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.308538129,1 +63515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.730388643,1 +63516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.751474033,1 +63517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.603354692,1 +63518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,1.977921843,1 +63519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.219966163,1 +63520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.987215152,1 +63522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.480625699,1 +63524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.093001472,1 +63523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.158519387,1 +63525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.734644309,1 +63521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.633054558,1 +63527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.586575355,1 +63526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.951396541,1 +63529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.652939504,1 +63528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.651251399,1 +63530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.24719628,1 +63531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.347709344,1 +63533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.470833419,1 +63534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.706592927,1 +63532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.2927993,1 +63535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.792563936,1 +63536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.195871937,1 +63537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.831914219,1 +63539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.542145002,1 +63540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.668455833,1 +63538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.313773091,1 +63541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.32544745,1 +63542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.145142084,1 +63543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.102497496,1 +63544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.822115433,1 +63545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.569963733,1 +63547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.355441686,1 +63546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.433226625,1 +63548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.059878208,1 +63549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.377761966,1 +63551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.645085752,1 +63550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.680753492,1 +63552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.655806232,1 +63553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.319916063,1 +63554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.220860338,1 +63555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,7.539213996,1 +63556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.668892672,1 +63557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.511786923,1 +63558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,7.676979919,1 +63559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.04403659,1 +63560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.219641458,1 +63561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.90366824,1 +63562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.135642169,1 +63563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.463648031,1 +63564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.788297947,1 +63565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.634266194,1 +63567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.520598312,1 +63566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.577007136,1 +63570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.338156995,1 +63569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.538525716,1 +63571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.4992885,1 +63568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.44412626,1 +63572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.928309174,1 +63573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.439309004,1 +63574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.962584741,1 +63576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,7.462453808,1 +63577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.374325767,1 +63578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.564409509,1 +63575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.365871874,1 +63579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.454113494,1 +63580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.899372493,1 +63581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.888689481,1 +63583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,7.371631363,1 +63584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.43635647,1 +63585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.023856016,1 +63582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.800924388,1 +63586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.679135705,1 +63587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.015853892,1 +63588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.167660062,1 +63589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.49773313,1 +63590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.378004161,1 +63591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.400726242,1 +63592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.893035109,1 +63593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.38169688,1 +63594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.240700323,1 +63595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.520826728,1 +63596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.959570367,1 +63598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.817975537,1 +63599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.794814806,1 +63600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.392716684,1 +63601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.382835929,1 +63597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.709921827,1 +63602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.08160227,1 +63603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.954520431,1 +63604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.364760356,1 +63605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.877777122,1 +63606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.206992465,1 +63607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.020817127,1 +63609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.546441908,1 +63608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.829231913,1 +63610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.464801327,1 +63611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.656058472,1 +63613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.140084591,1 +63614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,7.471798631,1 +63615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.851301161,1 +63616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.701017796,1 +63617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.402645931,1 +63612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.258621258,1 +63618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.238195843,1 +63620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.228479793,1 +63619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.668118968,1 +63621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.56111776,1 +63622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.633203154,1 +63623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.787020739,1 +63624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.640355847,1 +63625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.07263524,1 +63626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.060186452,1 +63627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.182596889,1 +63628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.114790029,1 +63630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.579166515,1 +63629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.995547944,1 +63632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.360000352,1 +63631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.797910746,1 +63633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.868410197,1 +63636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.985078323,1 +63634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.534927556,1 +63635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.710581701,1 +63637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.42107156,1 +63638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.926316203,1 +63640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.19754856,1 +63639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.986926499,1 +63641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.006414763,1 +63642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.701207705,1 +63643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.246639394,1 +63645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.385677943,1 +63644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.53456845,1 +63646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.767454033,1 +63647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.816117988,1 +63650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.505184054,1 +63649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.072338375,1 +63648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.730731543,1 +63651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.575628614,1 +63652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.631571129,1 +63654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.396479315,1 +63655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.186334322,1 +63656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.169856642,1 +63657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.515177695,1 +63658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.329992528,1 +63653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.177934612,1 +63659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.81916461,1 +63660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.567344454,1 +63661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.283769474,1 +63662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.312263092,1 +63664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.733157228,1 +63663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.672145919,1 +63665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.865314206,1 +63666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.030606812,1 +63667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.037535869,1 +63668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.277750202,1 +63669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.675133007,1 +63671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.415857023,1 +63670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.378548216,1 +63673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.151793389,1 +63672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.032892256,1 +63674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.610857253,1 +63676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.594957362,1 +63677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.744065633,1 +63678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.938834803,1 +63675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.422620552,1 +63679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.09869936,1 +63680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.807111699,1 +63681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.446078797,1 +63682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.644972085,1 +63683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.958498654,1 +63684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.945222364,1 +63685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,7.568803665,1 +63687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.803462168,1 +63686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.567993753,1 +63688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.378469474,1 +63689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.547378251,1 +63690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.655367608,1 +63692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.227865724,1 +63691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.968989041,1 +63694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.369807625,1 +63693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.535604468,1 +63695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.287628178,1 +63698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.692164065,1 +63697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.824550944,1 +63696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.379101392,1 +63699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.664432864,1 +63700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.205356452,1 +63701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.903458343,1 +63702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.847196602,1 +63703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.437586885,1 +63704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.978538444,1 +63705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.96532839,1 +63706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.391818341,1 +63707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.980766522,1 +63708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.410078643,1 +63709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.285130598,1 +63711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.298104599,1 +63712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,7.132726789,1 +63710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.171052974,1 +63713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.975083888,1 +63714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.774438541,1 +63715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.831558373,1 +63716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.198790838,1 +63717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.550205485,1 +63718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.441646353,1 +63719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.574143816,1 +63720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.095700937,1 +63721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.73079351,1 +63722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.191407461,1 +63724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.259900972,1 +63726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.036686654,1 +63723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.46652557,1 +63725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.056413134,1 +63729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.786172786,1 +63727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.132614069,1 +63728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.94563956,1 +63730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.340374824,1 +63732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.21846542,1 +63731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.203640972,1 +63733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.278197535,1 +63734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.365120127,1 +63735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.312610388,1 +63737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.932168563,1 +63736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.678706047,1 +63738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.871842221,1 +63739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.100506023,1 +63740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.66803374,1 +63741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.173829837,1 +63742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.28284563,1 +63743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.081264586,1 +63744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.487300536,1 +63746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.184404369,1 +63747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.723204765,1 +63748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.599954541,1 +63745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.340125277,1 +63749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.461715059,1 +63750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.246341243,1 +63751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,7.5190349,1 +63753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.698412075,1 +63754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.828161124,1 +63755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.631984227,1 +63752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.927537903,1 +63756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.816883708,1 +63758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.4086648,1 +63757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.955216809,1 +63759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.662191875,1 +63760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.835117944,1 +63762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.623714285,1 +63761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.554293938,1 +63763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.884230731,1 +63764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,1.815641858,1 +63765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.205559901,1 +63766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.298570776,1 +63768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.021290378,1 +63769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.484680777,1 +63770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.287874199,1 +63772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.635999641,1 +63767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.660771018,1 +63771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.130042775,1 +63773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.061468119,1 +63775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.623601394,1 +63774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.226745741,1 +63776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.276651337,1 +63777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.960703283,1 +63778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.572816252,1 +63779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,1.82252756,1 +63780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.391612191,1 +63781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,9.11841678,1 +63783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.970790222,1 +63782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.744045957,1 +63784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.644190052,1 +63785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.130653806,1 +63786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.534343808,1 +63789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.194717498,1 +63787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.082063271,1 +63788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.881486583,1 +63790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.950096731,1 +63791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.090727553,1 +63793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.502778614,1 +63792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.133740545,1 +63794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.567379668,1 +63795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.766597911,1 +63796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.978467299,1 +63797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.77577787,1 +63798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.568104228,1 +63799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.87215216,1 +63800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.042216412,1 +63801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.629148549,1 +63802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.435807284,1 +63804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,7.560029272,1 +63803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.551152594,1 +63805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.422078952,1 +63806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,7.183944196,1 +63807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.377986803,1 +63808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.094171905,1 +63809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.106492779,1 +63810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.863653291,1 +63811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.37171078,1 +63812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.833760101,1 +63813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.298726317,1 +63815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.106069138,1 +63814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.387216217,1 +63817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.01821371,1 +63816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.190830461,1 +63821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.029740847,1 +63818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.971809986,1 +63820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.156557951,1 +63819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.276833819,1 +63822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.40755359,1 +63823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.535805999,1 +63824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.997600985,1 +63825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.905589682,1 +63826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.122930978,1 +63827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.767870011,1 +63828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,7.777635806,1 +63829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.897992552,1 +63830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.808019145,1 +63831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.684416957,1 +63832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.639318225,1 +63835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.709469971,1 +63833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.185853661,1 +63834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.533833677,1 +63838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,1.779943565,1 +63839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.338219765,1 +63836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.613756207,1 +63840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.759248673,1 +63841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.997735269,1 +63837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.758050661,1 +63842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.301029922,1 +63843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.759991485,1 +63844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.905169662,1 +63845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.981495431,1 +63847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.591856049,1 +63848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.922338555,1 +63846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.747609223,1 +63849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.828568015,1 +63852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.652411477,1 +63853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.95571202,1 +63850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.478617246,1 +63851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.140856256,1 +63856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.131017559,1 +63857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.464050054,1 +63858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.670256379,1 +63855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,7.245205425,1 +63859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.619153428,1 +63860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.117991837,1 +63854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.585671342,1 +63861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.151225961,1 +63862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.752516262,1 +63865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.016469458,1 +63864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.838753506,1 +63863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,7.604671489,1 +63866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.147896414,1 +63867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,1.867696351,1 +63868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.345461717,1 +63869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.866789225,1 +63870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.893384518,1 +63872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.097163874,1 +63873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,7.6399761,1 +63871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.850082707,1 +63874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.858231349,1 +63876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.548526305,1 +63878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.726133955,1 +63877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.366558649,1 +63875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.301450518,1 +63881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.415630875,1 +63879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.435223485,1 +63880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.270604435,1 +63882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.668977398,1 +63883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,7.227097567,1 +63884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.049992968,1 +63885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.214436054,1 +63887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.017847444,1 +63888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.994193481,1 +63886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.453361235,1 +63889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.789009051,1 +63891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,1.675721151,1 +63892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.38209473,1 +63893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.612909765,1 +63894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.559111835,1 +63890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.464595957,1 +63896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.835406427,1 +63895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.928065093,1 +63898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,9.054604178,1 +63899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.288819765,1 +63897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.145206715,1 +63900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.157846454,1 +63902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.054732552,1 +63901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.478111089,1 +63903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.943849949,1 +63904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.337492725,1 +63905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.740369064,1 +63906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.113635166,1 +63907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.823753336,1 +63909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.485621835,1 +63911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.534287722,1 +63908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.53461252,1 +63910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.294633062,1 +63912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.535468041,1 +63914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.304486012,1 +63913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.545254407,1 +63915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,1.392520332,1 +63916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.028919172,1 +63917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.661969589,1 +63918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.961005575,1 +63920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.438027433,1 +63919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.422875249,1 +63921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.681733887,1 +63922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.337276573,1 +63923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.711632861,1 +63924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.009388675,1 +63926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.872473743,1 +63928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.467673279,1 +63927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.436927795,1 +63925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.491058518,1 +63929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.923247757,1 +63931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,7.028738872,1 +63932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.230473646,1 +63933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.102886596,1 +63930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.222888509,1 +63934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.431888838,1 +63935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,1.6586586,1 +63937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.438880096,1 +63936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.246962084,1 +63938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.050949381,1 +63939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.99937305,1 +63940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.974376813,1 +63941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.37068012,1 +63942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.543921182,1 +63944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.814340111,1 +63946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.654165975,1 +63947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.753655455,1 +63948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.729748081,1 +63949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.642681568,1 +63943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.902708695,1 +63945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.781276279,1 +63950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.168654622,1 +63951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.5801648,1 +63953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.752713845,1 +63952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.258534876,1 +63956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.741446505,1 +63957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.058614564,1 +63954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.891883475,1 +63955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.339088667,1 +63958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.017295715,1 +63959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.275882047,1 +63960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.603657965,1 +63961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.529264415,1 +63964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.305708122,1 +63963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.335721356,1 +63965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.831905177,1 +63962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.000478241,1 +63966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.770248159,1 +63967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.732747778,1 +63968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.616472206,1 +63971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.502679596,1 +63969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.543870797,1 +63970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.949435782,1 +63973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.741339753,1 +63972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.41635485,1 +63974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.094157547,1 +63975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.469619557,1 +63977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.070841173,1 +63979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.648346315,1 +63978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.184941477,1 +63980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.493809989,1 +63976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.147749159,1 +63981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.573358501,1 +63983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.274962936,1 +63984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.821917923,1 +63982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.478767122,1 +63985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.052358937,1 +63987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.058087851,1 +63986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.374041959,1 +63988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.677898617,1 +63990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.390393279,1 +63989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.419769455,1 +63991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.733568216,1 +63992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.966795817,1 +63994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,4.568996749,1 +63995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.611151233,1 +63993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,5.447980818,1 +63997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.646586237,1 +63998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.236967682,1 +64000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,2.540080775,1 +63999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,6.170748353,1 +63996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,4,1,3.200956625,1 +73001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.751871049,1 +73002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.104984131,1 +73003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.485441149,1 +73004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.978273205,1 +73006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.030993145,1 +73005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,7.598646205,1 +73007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.243727798,1 +73008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.586837474,1 +73009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.164150116,1 +73011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.00198507,1 +73010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.304284255,1 +73012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.333545619,1 +73014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.812107658,1 +73016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.617244273,1 +73015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.347708673,1 +73017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.64008843,1 +73013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.785582445,1 +73018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.752589129,1 +73019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.598821688,1 +73020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.443312702,1 +73021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.963694579,1 +73022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.29755799,1 +73024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.941597262,1 +73025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,7.197826173,1 +73023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.090665364,1 +73026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.432354827,1 +73027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.487276236,1 +73028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.204126029,1 +73029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.58351989,1 +73031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.057740888,1 +73030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.27438712,1 +73032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.953528799,1 +73033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.568850753,1 +73035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.010778581,1 +73034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.248579727,1 +73036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.546156775,1 +73038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.387443078,1 +73039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,8.616871374,1 +73040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.49950694,1 +73037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.395295533,1 +73041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,7.572456075,1 +73042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.115410603,1 +73043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.202648132,1 +73045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.764641814,1 +73046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.259564223,1 +73044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.055184742,1 +73047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.432570262,1 +73049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.615297786,1 +73048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.784893704,1 +73050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.546906547,1 +73051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.38968057,1 +73053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.29996627,1 +73052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.103349588,1 +73054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,7.138035815,1 +73055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.912930675,1 +73056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.21515683,1 +73057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.210374351,1 +73059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.741906948,1 +73060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.804864297,1 +73058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.929275088,1 +73061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.668806098,1 +73062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.388468172,1 +73063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.214759305,1 +73065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.578307276,1 +73064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.600229111,1 +73066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.367926963,1 +73067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.940695129,1 +73068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.644994708,1 +73070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.149980865,1 +73069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.639769726,1 +73071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.078376437,1 +73072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.94488358,1 +73073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.484866283,1 +73075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.991327717,1 +73074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.722810156,1 +73076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.803744628,1 +73077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.641578763,1 +73078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.588939683,1 +73080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.193982816,1 +73081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,7.030733063,1 +73079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.970609405,1 +73082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.140918887,1 +73083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.552458936,1 +73084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.269793916,1 +73086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.347748272,1 +73085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.00004112,1 +73087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.005964546,1 +73088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.960562626,1 +73089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.550351945,1 +73090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.421959375,1 +73091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.22241861,1 +73092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.394349539,1 +73093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.711728722,1 +73094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.388854235,1 +73095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,7.601737191,1 +73096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.321979459,1 +73097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.199847874,1 +73099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.066631783,1 +73098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.144199217,1 +73100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.39578808,1 +73101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.416711828,1 +73102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.99163371,1 +73103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.143659031,1 +73104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.210643729,1 +73105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.176693764,1 +73106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.403325111,1 +73107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.42778314,1 +73108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.459975565,1 +73109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.565707763,1 +73110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.863357096,1 +73112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.750452465,1 +73113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.487189532,1 +73111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.784939926,1 +73115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.835016729,1 +73116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.159384271,1 +73117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.218276486,1 +73118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.575566289,1 +73114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.476484022,1 +73119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.024706829,1 +73120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.111834934,1 +73121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.717531363,1 +73123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.862048847,1 +73122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.969458723,1 +73124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.399470478,1 +73125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.953437399,1 +73126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.250831575,1 +73127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,7.534118745,1 +73129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.233464015,1 +73128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.559578511,1 +73131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.44878215,1 +73130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.964837078,1 +73132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.644405498,1 +73133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.339021998,1 +73135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.613445728,1 +73136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.250837738,1 +73134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.713721286,1 +73137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.335180405,1 +73138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.999951047,1 +73139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.777842353,1 +73141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.205681608,1 +73140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.871826343,1 +73142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.152022953,1 +73143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.80520297,1 +73145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.680681434,1 +73146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.583315915,1 +73144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.728271378,1 +73147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.320336347,1 +73149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.788320664,1 +73148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.431069782,1 +73151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.422962814,1 +73150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.642089859,1 +73152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.538472705,1 +73154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.2979514,1 +73155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.59631012,1 +73153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.180691082,1 +73157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.760175251,1 +73156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.41405972,1 +73159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.373195417,1 +73160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.747912046,1 +73161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.722959414,1 +73158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.572033178,1 +73162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.414964189,1 +73163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.725923182,1 +73164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.712269809,1 +73166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.563426491,1 +73167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.187697364,1 +73168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.213114085,1 +73165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.689360379,1 +73171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.343512626,1 +73169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.881434244,1 +73172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.753773562,1 +73170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,7.782054816,1 +73173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.115331574,1 +73174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.195577086,1 +73176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.503178342,1 +73175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.692400378,1 +73178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.591100512,1 +73177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,1.946944118,1 +73179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.705818767,1 +73181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.420960093,1 +73183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.969517489,1 +73182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.510680215,1 +73180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.902321387,1 +73185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.323753244,1 +73184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.938303104,1 +73186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.663885566,1 +73187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.699757161,1 +73188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.888393829,1 +73190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.932508542,1 +73189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.443964211,1 +73191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,7.781974002,1 +73192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.809260855,1 +73193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.967242087,1 +73194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.090813127,1 +73195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.440498378,1 +73196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.627993077,1 +73197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.910999257,1 +73198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.513676539,1 +73200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.499018664,1 +73202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.45182764,1 +73201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.53411512,1 +73199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.366337073,1 +73204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,7.602680135,1 +73203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.37758854,1 +73205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.831412824,1 +73206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.881964058,1 +73207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.465471688,1 +73208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.417809468,1 +73209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.261249916,1 +73210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.039169525,1 +73212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.483473272,1 +73211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.48166055,1 +73213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.483118874,1 +73215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.432536677,1 +73216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.767248953,1 +73214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,7.481006438,1 +73217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.081361437,1 +73219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.007675718,1 +73218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.819989856,1 +73221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.380649364,1 +73220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.93917469,1 +73224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.747989629,1 +73222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.136949904,1 +73223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.84191502,1 +73225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.453067376,1 +73226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.324917582,1 +73227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.217291492,1 +73228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,7.527117457,1 +73229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.39522314,1 +73230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.324231207,1 +73231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.440851661,1 +73232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.603617615,1 +73235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.275982853,1 +73234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.605834144,1 +73233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.989344458,1 +73237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.791033772,1 +73238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.240909654,1 +73236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.926421051,1 +73239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.724658981,1 +73240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.426548095,1 +73241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.66142103,1 +73243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.81327167,1 +73242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.415601455,1 +73244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.605728854,1 +73245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.724666614,1 +73246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.177462578,1 +73247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.458008862,1 +73248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.660265336,1 +73249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.637060167,1 +73251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.669792027,1 +73250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.762726877,1 +73252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.585104749,1 +73253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.696802942,1 +73254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.352922771,1 +73255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.69545011,1 +73256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.889139478,1 +73257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.896249055,1 +73259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.939270021,1 +73258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.537790226,1 +73260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.384347238,1 +73262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.73068987,1 +73261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.522970266,1 +73266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.292789697,1 +73263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.639604218,1 +73264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.25953587,1 +73265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.070133404,1 +73267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.42486851,1 +73268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.724207298,1 +73269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.588553197,1 +73270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.683428377,1 +73271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.660941032,1 +73272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.899115965,1 +73273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.130751735,1 +73274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.867178984,1 +73277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.8679039,1 +73276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.287037442,1 +73278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.831745158,1 +73275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,7.128035036,1 +73280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.366675775,1 +73281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.970979873,1 +73279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.083355428,1 +73282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.703298325,1 +73283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.547071281,1 +73285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,0.964588619,1 +73284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.047367884,1 +73286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.975641334,1 +73288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.580998296,1 +73287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.188055399,1 +73289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,7.231930051,1 +73290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.613336861,1 +73291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.955008094,1 +73293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.754092804,1 +73292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.314445909,1 +73294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.368005326,1 +73295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.236947541,1 +73296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.396801242,1 +73297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.263559806,1 +73298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.768912416,1 +73300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.993341699,1 +73299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.354643856,1 +73302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.034028411,1 +73303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.843024454,1 +73301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.028196721,1 +73304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.360104107,1 +73305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.03179463,1 +73306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.636512309,1 +73308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.127330932,1 +73307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.459617909,1 +73309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.090456711,1 +73310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.918604661,1 +73311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.027050109,1 +73312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.084858877,1 +73313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.428865848,1 +73314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.172368698,1 +73315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.549947215,1 +73317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,7.766249693,1 +73318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.178718911,1 +73319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.107275346,1 +73320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.186369833,1 +73316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.823513584,1 +73321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.277260358,1 +73322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.716257223,1 +73323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.75594155,1 +73325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,8.242350375,1 +73326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.858314827,1 +73324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.21418317,1 +73327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,7.75214221,1 +73329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.812722265,1 +73328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.52315528,1 +73330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.353258973,1 +73331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.307348817,1 +73333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.343603368,1 +73335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.751746978,1 +73334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.874774206,1 +73332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.650337579,1 +73336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,7.853328688,1 +73338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.680342851,1 +73337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.119737843,1 +73340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.688053014,1 +73341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.254312457,1 +73339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.377740508,1 +73342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.934321457,1 +73345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.012905527,1 +73343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.750687017,1 +73344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.695134947,1 +73346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.024571469,1 +73347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.530927018,1 +73348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.335577316,1 +73349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.845486464,1 +73350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.258827253,1 +73352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.404447429,1 +73353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.178360844,1 +73351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.650819891,1 +73354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.77870357,1 +73355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.330194817,1 +73356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.575780736,1 +73358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.620868337,1 +73357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.473530335,1 +73359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.805564856,1 +73360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.656587003,1 +73361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.765853477,1 +73363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,1.98013737,1 +73362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.94619643,1 +73364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.725385705,1 +73365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.175787308,1 +73366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,7.249490831,1 +73367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.567268678,1 +73368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.388107443,1 +73369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.193796548,1 +73370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.113402778,1 +73371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.311314079,1 +73372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.159403979,1 +73373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.509410846,1 +73374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.883271228,1 +73375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.599425075,1 +73376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.738417197,1 +73377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.136987091,1 +73378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.942623135,1 +73380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.097246253,1 +73379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.32353083,1 +73381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.624509763,1 +73382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.806283109,1 +73383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.194908759,1 +73384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.60617706,1 +73385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.656826145,1 +73386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.864642415,1 +73387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.49920765,1 +73389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.392145946,1 +73390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.492833628,1 +73391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.569021694,1 +73392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.440774523,1 +73393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.809517838,1 +73388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.664429906,1 +73394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.378092429,1 +73395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.222070199,1 +73396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.674039786,1 +73397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.228659826,1 +73398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.488355496,1 +73399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.562208094,1 +73400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.010219268,1 +73401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,7.496801792,1 +73402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.045893197,1 +73403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.714137306,1 +73404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.405542552,1 +73405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.047639797,1 +73406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.760403724,1 +73407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.361925734,1 +73411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.16027438,1 +73410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.973610271,1 +73408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.679037301,1 +73413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,7.050605168,1 +73412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.003443164,1 +73414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.546729371,1 +73409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.620600599,1 +73416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.884781639,1 +73415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.013608562,1 +73417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.11728458,1 +73421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.50321044,1 +73420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.452434896,1 +73418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.813229179,1 +73419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.535784565,1 +73423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.037972627,1 +73424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.73180393,1 +73425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.080079874,1 +73426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.295754303,1 +73427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.675448833,1 +73428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.660950943,1 +73422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.449419536,1 +73429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.603595251,1 +73431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.604980033,1 +73432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.963485954,1 +73434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.613077086,1 +73430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.643029287,1 +73435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.40894707,1 +73433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.43816696,1 +73436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.235207043,1 +73437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.709667797,1 +73438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.721579021,1 +73440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.665645135,1 +73439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.78754497,1 +73441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.835006969,1 +73443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.886225947,1 +73444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.613626191,1 +73445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.412368177,1 +73447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.618763103,1 +73442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.225319263,1 +73446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.106020498,1 +73449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.249359836,1 +73450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.012293946,1 +73451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.801425206,1 +73448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.235241656,1 +73453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.244265411,1 +73454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.460944264,1 +73452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.778166299,1 +73455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.005675826,1 +73456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.41419034,1 +73457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.019845559,1 +73458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.663435698,1 +73459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.511474117,1 +73461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.528924819,1 +73462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,7.190382499,1 +73460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.441860316,1 +73463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.28185342,1 +73465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.781719294,1 +73466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.417007243,1 +73464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.910115945,1 +73467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.968233944,1 +73468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.706664968,1 +73469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.424688947,1 +73470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.561357202,1 +73471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.991418813,1 +73473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.37546698,1 +73472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.687731932,1 +73474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.736732049,1 +73475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.210624805,1 +73477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.758815788,1 +73478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.363969947,1 +73479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.13901503,1 +73476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.485550883,1 +73480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.500384222,1 +73483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.630329405,1 +73481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.753854838,1 +73482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,7.000461037,1 +73486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.695754109,1 +73485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.24724035,1 +73484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.819520845,1 +73487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.679541915,1 +73488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.199550898,1 +73489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.478119809,1 +73491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.411968325,1 +73492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.85249375,1 +73490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.177159607,1 +73494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.01601755,1 +73493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.228572442,1 +73496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.874790093,1 +73495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.399520858,1 +73498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.38357373,1 +73499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.921149564,1 +73500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,7.455461482,1 +73497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.938796936,1 +73501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.394793283,1 +73502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.8771384,1 +73503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.7805604,1 +73504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.590801662,1 +73505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.406019162,1 +73506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.720638643,1 +73508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.905043827,1 +73509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.264296317,1 +73510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.682773706,1 +73511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.17194548,1 +73507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.643238864,1 +73512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.302990346,1 +73513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.113829464,1 +73514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.010307612,1 +73517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.112262434,1 +73516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.58682064,1 +73515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,1.93249536,1 +73518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.592236073,1 +73519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.340750949,1 +73521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.110348542,1 +73520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.452033092,1 +73522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.027274585,1 +73523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.469502803,1 +73526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.396267708,1 +73525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.144991062,1 +73524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.39343327,1 +73527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.371078219,1 +73530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.187011192,1 +73528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.758990683,1 +73529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.556209696,1 +73531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.215414131,1 +73532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.733032707,1 +73533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.332992337,1 +73534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.194590712,1 +73535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.179541897,1 +73536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.188185447,1 +73537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.406065353,1 +73539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.033273578,1 +73538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.006431259,1 +73541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.766559246,1 +73543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.288190084,1 +73540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.095536157,1 +73542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.163865055,1 +73544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.467740859,1 +73546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.815564847,1 +73547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.527794999,1 +73548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.587940789,1 +73549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.109748117,1 +73550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.126006851,1 +73545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.740536006,1 +73551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.11363479,1 +73552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.083768815,1 +73553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.482982079,1 +73555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.325349459,1 +73554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.772635116,1 +73557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.825548915,1 +73556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.543041411,1 +73558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.33520073,1 +73559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.850959301,1 +73560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.520773069,1 +73561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.495053615,1 +73563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.793033276,1 +73562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.384295672,1 +73564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.89377388,1 +73565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.800666569,1 +73567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.865214531,1 +73568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.416693218,1 +73569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.008424599,1 +73566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.240732069,1 +73570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.420788534,1 +73571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,1.590175217,1 +73572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.847426978,1 +73574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.811823279,1 +73575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.911731444,1 +73573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.013739263,1 +73576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.172621671,1 +73577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.338411135,1 +73578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.885975522,1 +73579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.882966033,1 +73580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.148810058,1 +73581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.696093127,1 +73582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.237854448,1 +73585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.838227349,1 +73584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.824017362,1 +73586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.335661686,1 +73583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.138402014,1 +73587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.815885529,1 +73588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.738619787,1 +73589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.134200814,1 +73590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.662566593,1 +73592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.625955369,1 +73591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.748663398,1 +73593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.045362904,1 +73594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.674809501,1 +73596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.446146343,1 +73595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.619807466,1 +73597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.505110817,1 +73598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.798677255,1 +73599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.273329967,1 +73600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.491885094,1 +73601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.149746953,1 +73603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.476220048,1 +73604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.38846614,1 +73602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.48357988,1 +73605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.475980459,1 +73606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.809357881,1 +73607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.035367758,1 +73608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.202657754,1 +73609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.531872649,1 +73610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.623973943,1 +73611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.724129033,1 +73612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.505981866,1 +73613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.162515644,1 +73614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.4839588,1 +73615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.879986669,1 +73616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.610964394,1 +73617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.882576406,1 +73618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.510698169,1 +73621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.599976855,1 +73620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.048659265,1 +73622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.693631472,1 +73619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.914122839,1 +73624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.855807395,1 +73625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.82363536,1 +73626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.690530702,1 +73623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.311788625,1 +73627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.676971297,1 +73628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.588138833,1 +73629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.28597122,1 +73631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.024528818,1 +73630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.453577987,1 +73632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.090577635,1 +73633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.418797604,1 +73634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.834019895,1 +73635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.705355435,1 +73636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.545592498,1 +73637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.200955182,1 +73639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.16149084,1 +73638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.46028029,1 +73640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.052867249,1 +73641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,7.272977446,1 +73643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.076115415,1 +73644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.369011073,1 +73645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.045205915,1 +73646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.403996816,1 +73642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.252633074,1 +73648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,1.380676244,1 +73649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.918625802,1 +73650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.1580898,1 +73647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.665727323,1 +73651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.987693405,1 +73653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.251300591,1 +73652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.633694437,1 +73654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.786753019,1 +73656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.946304175,1 +73655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.052809255,1 +73657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.514567738,1 +73658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.073193765,1 +73659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.998854945,1 +73660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.750180838,1 +73661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.511637722,1 +73662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.160414461,1 +73664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.557411498,1 +73665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,1.916168596,1 +73663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.963516965,1 +73667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.270065142,1 +73668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.015785996,1 +73669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,1.786786869,1 +73670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.137163191,1 +73666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.621089793,1 +73671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.09575385,1 +73672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.890234276,1 +73673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.054623029,1 +73675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.683732531,1 +73676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.238350335,1 +73674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,7.645992696,1 +73677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.824987,1 +73678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.035213201,1 +73680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.88532378,1 +73679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.880859687,1 +73682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.422465286,1 +73681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.296644325,1 +73684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.659500033,1 +73685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.635604797,1 +73686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.347680759,1 +73683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.967762083,1 +73687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.793570966,1 +73688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.630061156,1 +73689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.685336781,1 +73691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.180896817,1 +73692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.47691094,1 +73693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,8.222727375,1 +73694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.397612157,1 +73690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.705692001,1 +73696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.580684615,1 +73695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.834345931,1 +73697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.694858895,1 +73698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.404344331,1 +73699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.92721032,1 +73700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.500634371,1 +73701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.833885476,1 +73702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.545832643,1 +73703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.099970654,1 +73704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.271337125,1 +73705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.705716944,1 +73706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.474659228,1 +73707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.971393026,1 +73708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.28623342,1 +73709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.283451421,1 +73712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.137168923,1 +73710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.451824341,1 +73711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.996291073,1 +73713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.859867517,1 +73714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.565044106,1 +73716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.942609827,1 +73717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.80827681,1 +73715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.207706387,1 +73719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.204920898,1 +73718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.406858322,1 +73721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.37217669,1 +73720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.282722316,1 +73722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.948198812,1 +73723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.256925314,1 +73725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.669801966,1 +73724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.685720906,1 +73727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.163261466,1 +73726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,7.03411406,1 +73728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.288008684,1 +73729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.615351542,1 +73730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.537749838,1 +73731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.400045398,1 +73732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.41459052,1 +73733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.074620369,1 +73735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.9109886,1 +73734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.089698573,1 +73736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.491653074,1 +73737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.902330782,1 +73738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.811596206,1 +73739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.616465425,1 +73740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.048232201,1 +73743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.634576894,1 +73742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,8.844847736,1 +73744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.852380648,1 +73741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.139196113,1 +73745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.642468049,1 +73746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.376322672,1 +73747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.995519358,1 +73748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.967807603,1 +73751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.92399814,1 +73749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.384460934,1 +73750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.931378838,1 +73752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.144527807,1 +73753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.96611994,1 +73755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.774430783,1 +73754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.101056349,1 +73756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.8139202,1 +73757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.802379925,1 +73758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.189996853,1 +73759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.852050408,1 +73761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.016756049,1 +73762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.422836305,1 +73760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.3075464,1 +73764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.177995326,1 +73765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.400534731,1 +73763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.257946165,1 +73766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.402444127,1 +73767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.167253057,1 +73768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,7.414899507,1 +73769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.092350971,1 +73770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,7.826347867,1 +73771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.694379877,1 +73773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.692044504,1 +73772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,7.154860364,1 +73774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.622019,1 +73775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.52335286,1 +73776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.476592463,1 +73777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.431645041,1 +73779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.514173234,1 +73778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.347575387,1 +73781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.705287604,1 +73782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.555370867,1 +73783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.81872806,1 +73784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.879146114,1 +73780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.754809512,1 +73785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.049482971,1 +73786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.378814672,1 +73788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.765618775,1 +73787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.355205543,1 +73790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.530793555,1 +73789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.327944789,1 +73791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.088561894,1 +73792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.915431398,1 +73794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.429373613,1 +73795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.053978955,1 +73796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.416723953,1 +73793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.639377514,1 +73797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.989733669,1 +73799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.82847003,1 +73800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.044409065,1 +73801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.828446897,1 +73798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.095029781,1 +73803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.360290125,1 +73802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.904111171,1 +73805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.279654816,1 +73804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.591079567,1 +73806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.183145532,1 +73807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.624955089,1 +73808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.763385351,1 +73809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.192844637,1 +73811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.505061789,1 +73812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.763349021,1 +73813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.412285594,1 +73810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.288643312,1 +73814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.616199225,1 +73816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.173135054,1 +73817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.141798367,1 +73815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.516049566,1 +73818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.707650882,1 +73819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.379195721,1 +73820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.970802547,1 +73821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.403988834,1 +73822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.649821334,1 +73823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.818914516,1 +73825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.734123264,1 +73824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.74958419,1 +73827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.978738154,1 +73826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.819515028,1 +73828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.873031159,1 +73830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.033783822,1 +73831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.039390235,1 +73829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.306105268,1 +73833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.705422136,1 +73834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.5208597,1 +73832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.387733589,1 +73835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.437391207,1 +73837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.743634664,1 +73838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.778283256,1 +73836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.12240196,1 +73839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.950933937,1 +73840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.023370987,1 +73841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.997438781,1 +73842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.900634326,1 +73844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.350208476,1 +73843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.746205992,1 +73845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.219868429,1 +73846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.623227201,1 +73847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.398863382,1 +73850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.154919585,1 +73848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.026756466,1 +73849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.712112832,1 +73851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.776511477,1 +73852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.669898199,1 +73853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.259806904,1 +73854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.277509329,1 +73855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,7.004251405,1 +73856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.364092697,1 +73858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.84039289,1 +73859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.64809979,1 +73860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.387046508,1 +73857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.727593127,1 +73861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.037156779,1 +73862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.77047433,1 +73863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.175103887,1 +73864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.891143662,1 +73865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.928348486,1 +73866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.401574435,1 +73867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.858417485,1 +73868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.14713603,1 +73869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.287411763,1 +73871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.714654294,1 +73870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.879289492,1 +73874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.280956088,1 +73873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.53868453,1 +73875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.423374664,1 +73872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,1.918223245,1 +73876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.848832832,1 +73877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.107939423,1 +73878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.091285865,1 +73879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.400345287,1 +73880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.559033416,1 +73882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.185163965,1 +73881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.469536835,1 +73884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.379443561,1 +73886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.207659838,1 +73885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.08048093,1 +73883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.54682508,1 +73887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.467104238,1 +73888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.685232648,1 +73890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.469682885,1 +73889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.440674082,1 +73891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.511874177,1 +73892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.596228016,1 +73893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.342722274,1 +73896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.847699105,1 +73894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.064591098,1 +73895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.042724843,1 +73897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.901893494,1 +73899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.389235422,1 +73900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.133047798,1 +73898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.838524189,1 +73903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.342738849,1 +73902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.201285144,1 +73904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.732260773,1 +73905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.822210771,1 +73906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.109710635,1 +73907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.070961184,1 +73908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.445725797,1 +73909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.716901539,1 +73901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.658997809,1 +73910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.792629505,1 +73912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.646375644,1 +73911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.822479636,1 +73913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.850130483,1 +73914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.586640503,1 +73916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.04717501,1 +73917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.11137244,1 +73918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.879824958,1 +73919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.77492468,1 +73915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.875201625,1 +73921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.00675632,1 +73922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.538835834,1 +73923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.208762337,1 +73924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.930883908,1 +73920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.401837274,1 +73926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.916279529,1 +73925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.666757371,1 +73928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.353612117,1 +73929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.748590147,1 +73927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.99871974,1 +73930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.862652701,1 +73931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.965910046,1 +73933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.594263697,1 +73934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.469679922,1 +73935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.684432757,1 +73936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.163969079,1 +73932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.708473044,1 +73937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.494845255,1 +73939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.471132009,1 +73940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.31396036,1 +73943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.34451548,1 +73938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.552901928,1 +73941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.604474162,1 +73942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.268516432,1 +73944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.037271239,1 +73945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.133661445,1 +73946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.231707303,1 +73947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.885355093,1 +73948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.54368861,1 +73949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.519801831,1 +73950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.086381327,1 +73951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.283838602,1 +73953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.098574197,1 +73954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.17192605,1 +73955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.881869417,1 +73952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.818595514,1 +73957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.216687207,1 +73959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.966148004,1 +73958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.734586809,1 +73956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.239265964,1 +73960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.119833193,1 +73961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.624610422,1 +73962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.397390905,1 +73963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.648974655,1 +73964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.212572048,1 +73965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.26921569,1 +73966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.331268017,1 +73967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.533459143,1 +73968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.824623532,1 +73970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.982305885,1 +73971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.231965254,1 +73969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.248152115,1 +73972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.767502912,1 +73973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.855656657,1 +73974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.909526846,1 +73976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.57443861,1 +73975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.433098149,1 +73977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.235279224,1 +73978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.398482494,1 +73979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.745950929,1 +73980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.896186725,1 +73981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.608782632,1 +73983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.30058059,1 +73984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.827287623,1 +73982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.91405803,1 +73985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.006115479,1 +73986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.909426374,1 +73987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.738987055,1 +73989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.731881992,1 +73988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.98563863,1 +73990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.565542727,1 +73991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.617457814,1 +73992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.092214677,1 +73993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,2.497390288,1 +73994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.424108275,1 +73995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.270167271,1 +73996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.991646997,1 +73998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,5.270783458,1 +73997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,6.035636612,1 +74000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,4.669896528,1 +73999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,4,1,3.172240128,1 +83002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.171539477,1 +83001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.606479862,1 +83003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.080541409,1 +83004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.589122869,1 +83005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.414837327,1 +83007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.773177675,1 +83009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.086950654,1 +83006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.676762958,1 +83008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.180284611,1 +83010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.422721212,1 +83011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.897135144,1 +83012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.767936669,1 +83013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.260198688,1 +83014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.174117307,1 +83015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,9.109572627,1 +83017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.80201858,1 +83016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.751872614,1 +83018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.576282625,1 +83019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.310685656,1 +83020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.581387396,1 +83021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.432896037,1 +83023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.226809569,1 +83022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.228560654,1 +83024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.390022542,1 +83025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.778436015,1 +83026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,7.066556349,1 +83028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.679599469,1 +83027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.45357633,1 +83030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.49231874,1 +83029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.0650794,1 +83031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.217609061,1 +83032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.885453832,1 +83033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.624296703,1 +83034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.108359058,1 +83036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,7.61881331,1 +83035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.931953756,1 +83037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.292523233,1 +83038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,7.350567728,1 +83039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.32737994,1 +83040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.88067785,1 +83041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.652040974,1 +83043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.389020714,1 +83044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.068870105,1 +83042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.590720638,1 +83045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.726342358,1 +83047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.739585624,1 +83046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.881553063,1 +83048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.751708505,1 +83049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.212266378,1 +83050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.149572049,1 +83051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.222900993,1 +83052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.304958843,1 +83053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.404706825,1 +83054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.561931718,1 +83055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.047616814,1 +83056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.359830787,1 +83058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.102781846,1 +83057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.431739596,1 +83059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.134085799,1 +83060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.634275293,1 +83062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.289554732,1 +83061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.830366802,1 +83063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.159326236,1 +83064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.561066258,1 +83065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.62491524,1 +83066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.659649019,1 +83067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.496590379,1 +83068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.763060276,1 +83069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.179408059,1 +83070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,7.338089889,1 +83071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.493222775,1 +83073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.089989047,1 +83075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,7.009549018,1 +83074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,7.354684703,1 +83076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.794479016,1 +83077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,8.383897232,1 +83072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.542721853,1 +83078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.652282808,1 +83079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.458390152,1 +83080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.890365294,1 +83082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.854841036,1 +83083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.871812725,1 +83081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.5386707,1 +83084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.056207821,1 +83085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.909486985,1 +83087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.069135437,1 +83086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.782500142,1 +83088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.490204775,1 +83089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.356409783,1 +83091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.199534813,1 +83090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.749992738,1 +83093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.753371737,1 +83092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.897387366,1 +83094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.482461432,1 +83096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.429967561,1 +83098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.901733248,1 +83097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.129251855,1 +83095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.565088793,1 +83100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.987687979,1 +83101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.727208836,1 +83099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.986532106,1 +83102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.353641723,1 +83104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.648134764,1 +83105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.804008888,1 +83103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.269439069,1 +83106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.23330431,1 +83108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.064874979,1 +83107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.737941767,1 +83109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.47590499,1 +83110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.315452871,1 +83111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.768085884,1 +83113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.249897846,1 +83112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.124739215,1 +83115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.458483003,1 +83116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.791667918,1 +83117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.871560221,1 +83114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.290145927,1 +83120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.160792176,1 +83118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.334285255,1 +83119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.651059363,1 +83121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.336328114,1 +83122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.962494167,1 +83123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.93138314,1 +83124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.740864282,1 +83125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.12594412,1 +83126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.071962393,1 +83127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.621262564,1 +83128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.094314554,1 +83129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.808209186,1 +83130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.157883855,1 +83131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.991751272,1 +83132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.628904873,1 +83135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.640194987,1 +83134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.456161039,1 +83136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.761895296,1 +83133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.295792878,1 +83137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.401221692,1 +83138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.139643188,1 +83139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.482601632,1 +83140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.002498971,1 +83141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.156280839,1 +83142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.207106167,1 +83143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.15222749,1 +83144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.260238826,1 +83145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.62539626,1 +83146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.078858315,1 +83147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.539082478,1 +83149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.571195704,1 +83148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.415208587,1 +83150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.513293864,1 +83151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.849840666,1 +83152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.442968652,1 +83154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.736063536,1 +83153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.10129542,1 +83155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.45725675,1 +83156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.037396077,1 +83157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,1.629765245,1 +83158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.767982709,1 +83159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.580654339,1 +83160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.405435779,1 +83161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.035015382,1 +83162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.697508762,1 +83163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.472326716,1 +83165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.5434888,1 +83164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.385451881,1 +83167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.942068171,1 +83168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.632890638,1 +83166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.899608821,1 +83169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.806172145,1 +83171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.797636233,1 +83172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.64096905,1 +83173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.089723946,1 +83170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.691504925,1 +83174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.10541526,1 +83175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.762941774,1 +83176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.848924284,1 +83177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.697604932,1 +83179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.949815247,1 +83180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.703291344,1 +83181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.043735668,1 +83178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.465405766,1 +83183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.575918945,1 +83185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.728171807,1 +83182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.157764833,1 +83186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.635821427,1 +83187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.269890283,1 +83184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.560798722,1 +83188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,7.338752892,1 +83190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.548600314,1 +83189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.566250466,1 +83191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.286340418,1 +83192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.804915277,1 +83194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.604349269,1 +83193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.890516919,1 +83195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,7.658758727,1 +83197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.699535587,1 +83199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.091305035,1 +83198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.209182059,1 +83196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.08915813,1 +83200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.258607508,1 +83201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.377518058,1 +83202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.18325722,1 +83204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.636050783,1 +83206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.889752128,1 +83203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.588121486,1 +83208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.058193999,1 +83209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.866019571,1 +83205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.910730671,1 +83207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.781440375,1 +83211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.972461774,1 +83212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.087590263,1 +83210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.188194791,1 +83213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.255335544,1 +83215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.998306146,1 +83217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.704637661,1 +83216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.346388554,1 +83218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.579014328,1 +83220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.007510051,1 +83219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.969037054,1 +83214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.523226626,1 +83222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.277861286,1 +83223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.960015133,1 +83224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.950655139,1 +83221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.347114463,1 +83225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.438939273,1 +83227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.678074465,1 +83226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.336579406,1 +83228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.574375407,1 +83229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.814656116,1 +83231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.525595565,1 +83230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.035686337,1 +83232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.460446723,1 +83233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.430307346,1 +83234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.07825403,1 +83236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.297050277,1 +83237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.245469136,1 +83238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.482439606,1 +83239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.129926836,1 +83235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.243141163,1 +83240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.438152558,1 +83242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.986814964,1 +83241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.09241738,1 +83243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.610869088,1 +83246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.20447614,1 +83245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.330968221,1 +83244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.656571278,1 +83247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.030128216,1 +83248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.427410625,1 +83249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.144780302,1 +83250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.794402256,1 +83254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.152007947,1 +83252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.886547219,1 +83253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.648504513,1 +83251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,8.308331897,1 +83255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.86983539,1 +83257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.94242602,1 +83256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.885650638,1 +83258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.803358037,1 +83259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.049471562,1 +83260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.752911493,1 +83261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.965020561,1 +83262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.922356949,1 +83264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.203898715,1 +83265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.764444903,1 +83263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.38098749,1 +83266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.928148798,1 +83268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.395679666,1 +83269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.748209985,1 +83267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.659595841,1 +83270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.207135521,1 +83271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.148505304,1 +83273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.314123182,1 +83272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.60520843,1 +83275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,7.878871125,1 +83276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.9527443,1 +83277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.6304483,1 +83274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.670448694,1 +83278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.600414362,1 +83279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.190913782,1 +83280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.071788131,1 +83281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.4889131,1 +83282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.89279324,1 +83284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.600994719,1 +83283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.045659566,1 +83287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.632405641,1 +83285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.510799901,1 +83286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.214149706,1 +83288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.738455451,1 +83289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.814546741,1 +83290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.546029571,1 +83291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.03618557,1 +83292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.518244974,1 +83293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.981257009,1 +83294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.272287679,1 +83295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.432761007,1 +83296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.566943337,1 +83297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.764829818,1 +83298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.449101652,1 +83299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.845250316,1 +83300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.83905816,1 +83301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.950941362,1 +83303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.361697126,1 +83302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.359649445,1 +83304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.497979956,1 +83305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.621348255,1 +83306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.164833541,1 +83307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.861180428,1 +83308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.439613886,1 +83309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.547980371,1 +83311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.485531456,1 +83310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.415028452,1 +83312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.528008295,1 +83314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.180673255,1 +83315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.949904296,1 +83313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.640675569,1 +83316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,8.147089413,1 +83317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.349758598,1 +83318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.486124086,1 +83320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.519394348,1 +83321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.66667428,1 +83319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.705858045,1 +83322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.318773167,1 +83323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.355496759,1 +83324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.094445839,1 +83326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.591501531,1 +83325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.341352875,1 +83327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.165772524,1 +83328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.40063294,1 +83329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.425122395,1 +83331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.831184579,1 +83332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.943119681,1 +83330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.766823365,1 +83333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,7.065077078,1 +83334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.626761578,1 +83336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.957617694,1 +83335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.07772081,1 +83337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,7.239274916,1 +83338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.183254823,1 +83340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.232294804,1 +83341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.81573701,1 +83342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.690992147,1 +83339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.87492846,1 +83343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.761433875,1 +83344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.637607536,1 +83345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.726582889,1 +83347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.67241938,1 +83346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.922784594,1 +83348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.625598995,1 +83349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.539936275,1 +83351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.569339429,1 +83350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.785720484,1 +83352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.198303585,1 +83353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.481252783,1 +83354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.780074122,1 +83355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.824367691,1 +83356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.997648703,1 +83357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.489964715,1 +83359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.051502353,1 +83361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.852640524,1 +83360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.590126511,1 +83362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.070773831,1 +83358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.131630969,1 +83364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.183667722,1 +83366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.553076837,1 +83363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.341321176,1 +83365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.103515544,1 +83367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.81024959,1 +83368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.850411448,1 +83369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.225497326,1 +83370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.344591416,1 +83371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.638437621,1 +83373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.671811134,1 +83374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.110841293,1 +83372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.318701595,1 +83377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.720916174,1 +83375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.331261626,1 +83376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.901874669,1 +83378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.117817556,1 +83381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.536372781,1 +83380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.610917603,1 +83379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.156560121,1 +83382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.809040546,1 +83383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.271790567,1 +83384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.374718146,1 +83385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.966275025,1 +83386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.717007024,1 +83388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.378932833,1 +83387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.25404488,1 +83389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.491241849,1 +83390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.64556982,1 +83393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.48570809,1 +83391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.089379196,1 +83392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.838866874,1 +83394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.024387151,1 +83395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.602071664,1 +83396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,7.282340566,1 +83397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.106323936,1 +83400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.240442183,1 +83399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.200676496,1 +83398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.358432121,1 +83401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.511537568,1 +83402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.631235893,1 +83403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.66797397,1 +83404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.336837406,1 +83405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.602288075,1 +83407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.379617724,1 +83406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.676774576,1 +83409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.907725554,1 +83408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.748641471,1 +83410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.091522228,1 +83411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.12412037,1 +83412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.029147259,1 +83413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.3304625,1 +83414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.404842997,1 +83415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.375156262,1 +83416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.9020619,1 +83417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.480311088,1 +83418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.497646161,1 +83419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.755545422,1 +83420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.743934732,1 +83421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.322789485,1 +83422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.665625184,1 +83423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.771250268,1 +83424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.109533737,1 +83425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.551424114,1 +83426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.455073096,1 +83427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.356166357,1 +83428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.734661274,1 +83430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.018932782,1 +83429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.364069589,1 +83431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.780702085,1 +83432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.950376781,1 +83433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.881084281,1 +83434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.264951979,1 +83435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.568389309,1 +83436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.309603602,1 +83437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.587022031,1 +83438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.707174832,1 +83439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.514609077,1 +83441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.446589062,1 +83440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.617709791,1 +83443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.042613598,1 +83442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.754338528,1 +83445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.86772495,1 +83444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.946140451,1 +83446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.130125126,1 +83447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.848143956,1 +83451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.708147637,1 +83449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.156080773,1 +83450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.908704273,1 +83448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.492057858,1 +83452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.642887842,1 +83453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.507575574,1 +83454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.222418952,1 +83455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.788123401,1 +83457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.669400105,1 +83458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.390053479,1 +83456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.242206413,1 +83459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.853036804,1 +83460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.887730692,1 +83462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.087729609,1 +83461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.783650988,1 +83463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.563680429,1 +83464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.10192236,1 +83465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,7.172941618,1 +83467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.140394691,1 +83468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.10641737,1 +83469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.28092205,1 +83470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.151701701,1 +83466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.013323399,1 +83472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.639298575,1 +83473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.666728266,1 +83471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.118654138,1 +83474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.50316242,1 +83475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.626544062,1 +83477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.851172322,1 +83478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.39381885,1 +83476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.725485509,1 +83479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.45612474,1 +83480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.603016919,1 +83481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.856798087,1 +83483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.310253466,1 +83482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.264079486,1 +83484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.479374369,1 +83487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.038703278,1 +83488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.566686584,1 +83486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.365666276,1 +83485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.973390857,1 +83489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.215276419,1 +83490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.918887484,1 +83491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.751758431,1 +83492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.390708283,1 +83494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.200376731,1 +83495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.653060099,1 +83496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.076667988,1 +83497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.074952168,1 +83493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.190314956,1 +83498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.756068918,1 +83500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.099497061,1 +83501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.326702049,1 +83502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.15931973,1 +83499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.467603456,1 +83504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.516310295,1 +83503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.710245726,1 +83505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.009082853,1 +83506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.191171941,1 +83507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.974724007,1 +83508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.987871385,1 +83509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.651231957,1 +83511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.21747929,1 +83510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.956075815,1 +83513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.687005331,1 +83512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.946991311,1 +83516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.535559855,1 +83515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.728885551,1 +83517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.319314232,1 +83514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.19854539,1 +83519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.858136692,1 +83518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.330201872,1 +83520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.980255054,1 +83521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.306543435,1 +83522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.199334822,1 +83523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.150723038,1 +83524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.607234689,1 +83525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.292074943,1 +83527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.011892557,1 +83526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.12686941,1 +83528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.092080502,1 +83529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.027047294,1 +83530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.365521582,1 +83532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.810702209,1 +83534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.727630064,1 +83531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.583803984,1 +83533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.219432247,1 +83536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.086488049,1 +83537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.922477106,1 +83535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.899290957,1 +83538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.188462741,1 +83539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.741412792,1 +83541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.975088386,1 +83540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.335687102,1 +83543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.92151625,1 +83542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.206876423,1 +83544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.6047944,1 +83545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.682586687,1 +83547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.099145454,1 +83548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.233656744,1 +83546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.810319339,1 +83550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.377783586,1 +83552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.258403489,1 +83549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.607507175,1 +83551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.787247164,1 +83556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.153683476,1 +83553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.890666705,1 +83555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.528643908,1 +83554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.152361025,1 +83557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.093621433,1 +83559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.597479905,1 +83558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.836927941,1 +83560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.483658618,1 +83561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.390682836,1 +83562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.387902064,1 +83563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.706483759,1 +83564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.214242947,1 +83565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.62688234,1 +83567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.757981905,1 +83568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.177486665,1 +83566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.974852988,1 +83569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.311963036,1 +83570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.573990739,1 +83572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.494481779,1 +83571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.393162422,1 +83573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.163936545,1 +83574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.894463374,1 +83575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.559963941,1 +83576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.286158317,1 +83577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.58061601,1 +83578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.28117,1 +83579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,7.485171726,1 +83580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.372057811,1 +83581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.120833975,1 +83583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,7.410881641,1 +83582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.701532683,1 +83585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.232130093,1 +83586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.948070339,1 +83587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.067818669,1 +83584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.970197402,1 +83588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.125917088,1 +83589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.158409891,1 +83590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.692353652,1 +83592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,7.919247802,1 +83593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.564759951,1 +83594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.779814,1 +83591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.255159863,1 +83595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.093273364,1 +83596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.877640067,1 +83597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.045291773,1 +83598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.973693554,1 +83599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.010596265,1 +83600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.477446477,1 +83601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.791117976,1 +83602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.648925713,1 +83603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.385490872,1 +83605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.501348664,1 +83604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.920653469,1 +83607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.338438377,1 +83609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.339854288,1 +83608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.612504195,1 +83606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.585208822,1 +83612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.260330859,1 +83610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.061428986,1 +83611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.958016415,1 +83613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.970552089,1 +83614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.14691011,1 +83615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.925128184,1 +83616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.161115817,1 +83617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.453960966,1 +83618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.259229681,1 +83619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.691754838,1 +83620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.508336609,1 +83622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.871402976,1 +83623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.023749586,1 +83624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.329760273,1 +83625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.103277465,1 +83621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.016192339,1 +83626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.817487347,1 +83628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.41275601,1 +83629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.926060178,1 +83627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.553952006,1 +83630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.848660293,1 +83631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.542936682,1 +83632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.902399428,1 +83633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.717737095,1 +83634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,7.725402445,1 +83635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.673411847,1 +83636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.610393644,1 +83637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.307647909,1 +83638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.528196156,1 +83639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.103341101,1 +83641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,7.106961101,1 +83640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.336724504,1 +83642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.690237072,1 +83643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.410488891,1 +83644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.98484522,1 +83646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.28582604,1 +83645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.830463595,1 +83647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.188946107,1 +83648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.312283434,1 +83649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.558400674,1 +83650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.064236644,1 +83651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.445263987,1 +83652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.269449111,1 +83653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.530482574,1 +83655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.859201879,1 +83654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.691602273,1 +83656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.033233879,1 +83657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.022551515,1 +83658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.297157944,1 +83659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.273910954,1 +83660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.686313733,1 +83661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.416200011,1 +83662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,8.808362226,1 +83663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.245466465,1 +83665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.147992714,1 +83664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.190379053,1 +83667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.816385445,1 +83666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.158407512,1 +83668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.430833283,1 +83670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.415896935,1 +83669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.928959189,1 +83671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.62272017,1 +83672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.333145304,1 +83674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.490720087,1 +83673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.405908893,1 +83676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.07952226,1 +83678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.881216866,1 +83675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.298656792,1 +83679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.434715107,1 +83677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.154222938,1 +83680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.12855336,1 +83681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.989484546,1 +83682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.566664458,1 +83684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.960062787,1 +83685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.715231065,1 +83683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.634365049,1 +83688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.133766475,1 +83689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.05114217,1 +83687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.53722199,1 +83686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.233152176,1 +83693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.003782788,1 +83692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.154137624,1 +83690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.966790511,1 +83695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.952505062,1 +83694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.959821486,1 +83696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.929225225,1 +83691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.437550596,1 +83698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.831681228,1 +83697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.523833053,1 +83699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.62880041,1 +83701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.391143103,1 +83703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.665000654,1 +83700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.183105112,1 +83702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.826005704,1 +83705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.816420406,1 +83706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.913253666,1 +83704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.34202686,1 +83707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.022265802,1 +83708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.141570769,1 +83709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.399520358,1 +83710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.998548326,1 +83711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.107942262,1 +83712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.622549704,1 +83715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.849369048,1 +83714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.66268752,1 +83716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.312385257,1 +83718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.474049601,1 +83719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.621107122,1 +83713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.53778412,1 +83717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.990743055,1 +83720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.815839012,1 +83722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.826815023,1 +83723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.436355659,1 +83721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.899994677,1 +83724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.33078093,1 +83726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.222596003,1 +83725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.810166192,1 +83727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.486607619,1 +83728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.733487605,1 +83729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.081040767,1 +83730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.206245404,1 +83731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.063744817,1 +83732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.716083985,1 +83735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.975721276,1 +83733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.068356847,1 +83734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.555287164,1 +83736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.191501294,1 +83737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.81558511,1 +83738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.857649819,1 +83739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.190145114,1 +83740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.764365923,1 +83742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.506634009,1 +83741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.942035288,1 +83743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.66205738,1 +83744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.646015971,1 +83746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.700763584,1 +83745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.688923931,1 +83748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.792462334,1 +83747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.782932562,1 +83749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.128292461,1 +83750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.42396341,1 +83751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.927461536,1 +83752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.433851223,1 +83753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.902227357,1 +83754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.791859409,1 +83755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.997677425,1 +83756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.026052511,1 +83757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.737209132,1 +83759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.829941483,1 +83758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.883061125,1 +83761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.067881377,1 +83763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.430802875,1 +83762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.953322564,1 +83760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.285234935,1 +83764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.015712762,1 +83765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.654129152,1 +83766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.098172874,1 +83767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.446902761,1 +83768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.113042236,1 +83769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.641311682,1 +83770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.173096241,1 +83771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,7.441856107,1 +83774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.086278417,1 +83773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.578335617,1 +83772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.841885914,1 +83776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.724330339,1 +83778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.020646911,1 +83775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.691762086,1 +83777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,1.150401854,1 +83780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.047988839,1 +83779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.765340371,1 +83781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.038086327,1 +83782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.647878282,1 +83784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.281593992,1 +83785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.62743454,1 +83783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.294583398,1 +83786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.304020532,1 +83787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.608900694,1 +83788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.939642779,1 +83791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.53106547,1 +83790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.086816229,1 +83789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.667975184,1 +83792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.389815548,1 +83793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.586089404,1 +83794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.885253886,1 +83795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.840075229,1 +83796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.311856655,1 +83797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.97160145,1 +83799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.024755303,1 +83798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.241945169,1 +83800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.146719415,1 +83801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.113952295,1 +83803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.85520877,1 +83805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.409956203,1 +83806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.534123438,1 +83804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.782361696,1 +83802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.832701318,1 +83807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.2282499,1 +83808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.568536641,1 +83809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.709610173,1 +83810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.187502252,1 +83811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.573512399,1 +83813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.649628499,1 +83812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.183407197,1 +83814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.190613115,1 +83815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.988989141,1 +83817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.714549419,1 +83818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.562694633,1 +83819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.207878505,1 +83816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.601702954,1 +83820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.21121288,1 +83821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.281107148,1 +83822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.05242434,1 +83824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.711040756,1 +83823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.364601807,1 +83825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.576009798,1 +83828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.172938261,1 +83827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.545029258,1 +83826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.240599585,1 +83829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.429096824,1 +83830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.113477644,1 +83832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.664507355,1 +83831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.61875401,1 +83833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.579517099,1 +83835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.79200666,1 +83836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.70009136,1 +83834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.827519631,1 +83838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.549119606,1 +83839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.177454142,1 +83840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.889065384,1 +83837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.916738682,1 +83842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.508878327,1 +83841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.335831198,1 +83844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.624413621,1 +83843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.08398708,1 +83845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.060333451,1 +83846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.128629884,1 +83847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.449333078,1 +83848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.712675024,1 +83850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.904401786,1 +83849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.089374744,1 +83851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.294909994,1 +83853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.736301294,1 +83854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.724032036,1 +83852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.964271675,1 +83855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.354402307,1 +83857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.252094566,1 +83858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.502681512,1 +83856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.582168601,1 +83859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.233472685,1 +83861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,7.301876896,1 +83860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.911160715,1 +83862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.455926081,1 +83863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.565821969,1 +83865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.902931367,1 +83864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.041286467,1 +83867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.650047023,1 +83866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.12419315,1 +83869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.547130143,1 +83870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.151982875,1 +83871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.966396514,1 +83868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.180548665,1 +83873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.725249984,1 +83874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.212159157,1 +83872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.136595964,1 +83875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.769695347,1 +83876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.959408231,1 +83878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.984307871,1 +83877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.920275041,1 +83880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.141008096,1 +83879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.054665392,1 +83881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,7.096776187,1 +83882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.638884229,1 +83883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,8.188222234,1 +83885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.441422205,1 +83884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.197090751,1 +83886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.023430883,1 +83889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.316895265,1 +83888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.476527129,1 +83887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.882615057,1 +83890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.656142089,1 +83891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.177161127,1 +83892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.895810497,1 +83894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.80944191,1 +83893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.443798316,1 +83895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.267933576,1 +83896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.779909944,1 +83897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.258112873,1 +83898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.350392582,1 +83899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.180257754,1 +83900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.519260893,1 +83901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.218292146,1 +83902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.204300355,1 +83903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.43429216,1 +83904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.301344988,1 +83905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.459952167,1 +83906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.377398341,1 +83907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.218253218,1 +83908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.076920727,1 +83909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.577732985,1 +83910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.720970943,1 +83912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.065962068,1 +83913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.906422003,1 +83914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.656300728,1 +83911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.723452803,1 +83915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.060854252,1 +83916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.420919847,1 +83917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.362553494,1 +83918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.750563984,1 +83921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.199349756,1 +83920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.289937682,1 +83919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.765074951,1 +83924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.377485219,1 +83923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,7.460208002,1 +83925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.407501804,1 +83922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.28486066,1 +83927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.684921932,1 +83926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.182792208,1 +83928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.827598805,1 +83930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.932981122,1 +83931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.553687448,1 +83932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.553272377,1 +83929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.570595612,1 +83934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.326721968,1 +83935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.071208575,1 +83933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.503136465,1 +83936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.698010332,1 +83937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.48761767,1 +83938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.537848498,1 +83939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.560249298,1 +83940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.433073235,1 +83941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.740842425,1 +83942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.914399479,1 +83943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.024803489,1 +83945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.64762275,1 +83946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.473833898,1 +83947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.104915291,1 +83948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.303961024,1 +83944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.979207453,1 +83950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,1.714206323,1 +83949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.126508335,1 +83952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.855234535,1 +83951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.895270794,1 +83953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.507844665,1 +83954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.135736654,1 +83956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.774393307,1 +83955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.877573174,1 +83957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.020949596,1 +83958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.249088672,1 +83959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.575968243,1 +83960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.895471301,1 +83961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.406243527,1 +83962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.257992135,1 +83963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.816324364,1 +83965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.294626167,1 +83964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.490345954,1 +83966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.923326774,1 +83967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.066128625,1 +83968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.949739945,1 +83969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.36946978,1 +83971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.499295271,1 +83970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.13627533,1 +83972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.975353924,1 +83975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.825312889,1 +83974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.937675121,1 +83973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.446722552,1 +83976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.199977817,1 +83978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.799690498,1 +83979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.389277301,1 +83977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.760741441,1 +83980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.4556734,1 +83983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.770408894,1 +83982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.250809883,1 +83981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.327025418,1 +83984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.581438751,1 +83985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.153839592,1 +83987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.654470194,1 +83986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,6.037349211,1 +83988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.091688065,1 +83989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.650271316,1 +83990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.081463382,1 +83992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.698144976,1 +83991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.060176689,1 +83993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,3.461658453,1 +83994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.260941249,1 +83995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.545789721,1 +83996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.63782851,1 +83997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,2.853842827,1 +83999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.073905726,1 +83998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,4.424238272,1 +84000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,4,1,5.344992789,1 +93003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.615534235,1 +93002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.67578511,1 +93001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.443761594,1 +93004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.262699898,1 +93006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.943521001,1 +93007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.487791203,1 +93008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.622008331,1 +93005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.163006155,1 +93009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.30352306,1 +93010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.818840615,1 +93011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.794312658,1 +93014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.691979538,1 +93012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.001314549,1 +93015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.189209859,1 +93013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.601741638,1 +93017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.883580776,1 +93016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.123752174,1 +93018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.663205517,1 +93019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.245215102,1 +93020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.798607013,1 +93021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.197762054,1 +93022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.327574075,1 +93023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.229013995,1 +93025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.012046613,1 +93026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.446221044,1 +93024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.602319775,1 +93027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.757170602,1 +93028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.346574452,1 +93030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.297450878,1 +93029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.218864461,1 +93031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.724426612,1 +93033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.897354772,1 +93032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.161086606,1 +93034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.739826907,1 +93035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.985284757,1 +93037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.138782932,1 +93036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.846466181,1 +93038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.102430974,1 +93039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.06788248,1 +93040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.827003053,1 +93041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.760225817,1 +93042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.381099728,1 +93044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.037479466,1 +93043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.474929413,1 +93045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,1.629237911,1 +93046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.42771173,1 +93047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.704590556,1 +93048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.473803853,1 +93049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.175413043,1 +93050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.747987078,1 +93051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.990908387,1 +93052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.86955877,1 +93053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.50422387,1 +93054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.4846352,1 +93055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.505532648,1 +93056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.031650549,1 +93057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.259208687,1 +93058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.49454596,1 +93059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.68558677,1 +93060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.078317852,1 +93061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.099302458,1 +93063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.058627477,1 +93062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,8.47293086,1 +93064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.058125373,1 +93065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.080842006,1 +93066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.589834559,1 +93067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.518828988,1 +93069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.323868626,1 +93068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.171849583,1 +93070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.083106259,1 +93071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.999874736,1 +93072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.424902768,1 +93075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.817547478,1 +93074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.687945184,1 +93073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.937672581,1 +93077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.957332819,1 +93076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.105692612,1 +93078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.742508432,1 +93080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.579574413,1 +93081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.247182852,1 +93082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.522876383,1 +93079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.832500272,1 +93083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.060271737,1 +93084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.512977574,1 +93085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.573179449,1 +93087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.174534059,1 +93088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.631072037,1 +93089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.055239681,1 +93086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.090440514,1 +93091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.203394657,1 +93090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.242551142,1 +93092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.30251068,1 +93093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.842584049,1 +93094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.760824633,1 +93095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.62562336,1 +93096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.077715817,1 +93097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.769871829,1 +93098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.316255365,1 +93099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.971225562,1 +93100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.534770222,1 +93102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.739731273,1 +93103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.115336542,1 +93104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.836482519,1 +93105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.045802575,1 +93101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.50251506,1 +93107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.200146757,1 +93106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.04216106,1 +93109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.149479719,1 +93108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.119113518,1 +93111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.491988294,1 +93110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.163671311,1 +93113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.563648091,1 +93112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.80609048,1 +93115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.091562356,1 +93114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.372981274,1 +93116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.170777955,1 +93117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.108251783,1 +93118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.749035126,1 +93119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.692948424,1 +93120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.394305265,1 +93122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.176750612,1 +93123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.410473004,1 +93124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.224791892,1 +93121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.732828584,1 +93125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.168967031,1 +93126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.127525914,1 +93127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.337848565,1 +93128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.513510301,1 +93130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.21844829,1 +93129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.829070696,1 +93131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.698615014,1 +93132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.688120554,1 +93133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.78361591,1 +93134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.823219687,1 +93135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.642615989,1 +93137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.735700718,1 +93136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.798978948,1 +93138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.315514718,1 +93139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.760315691,1 +93141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.584118867,1 +93140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.567426066,1 +93142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.366294949,1 +93143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.578484645,1 +93144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.77619135,1 +93145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.743958886,1 +93146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.852540853,1 +93147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.294934193,1 +93148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.104005552,1 +93149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.177200059,1 +93150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.90022497,1 +93151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.897742998,1 +93152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.379266422,1 +93153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.572736443,1 +93155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.387139452,1 +93154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.294080888,1 +93156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.937278713,1 +93157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.015316896,1 +93158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.930047437,1 +93159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,8.119761066,1 +93160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.247313084,1 +93161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.043690686,1 +93162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.301179029,1 +93163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.137203437,1 +93164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.003197404,1 +93167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.100151601,1 +93168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.64300084,1 +93166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.313705416,1 +93165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.722602269,1 +93170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.049320697,1 +93171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.690161719,1 +93169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.632753474,1 +93174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.40135545,1 +93173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.694134978,1 +93172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.980832697,1 +93175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.946875631,1 +93177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.147169398,1 +93176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.261951511,1 +93179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.376329429,1 +93181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.612299946,1 +93180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.721560585,1 +93182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.763148927,1 +93178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.766508071,1 +93183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.18126986,1 +93185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.326087573,1 +93184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.24956358,1 +93186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.505950627,1 +93188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.883289991,1 +93187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.459747884,1 +93189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.084593048,1 +93190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.878721807,1 +93191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.654290259,1 +93192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.634079968,1 +93193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.335600362,1 +93195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.750241726,1 +93196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.102064289,1 +93197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.230628082,1 +93194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.773518398,1 +93198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.314867924,1 +93199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.519371811,1 +93200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.595473374,1 +93201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.338341843,1 +93202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.323685435,1 +93204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.699947865,1 +93203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.738647139,1 +93205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.849007371,1 +93206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.642494868,1 +93208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.704835042,1 +93207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.00027793,1 +93210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.874153273,1 +93211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.430638615,1 +93212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.597084879,1 +93214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.721635962,1 +93209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.3869855,1 +93213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.36397699,1 +93215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.392244258,1 +93216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.132735135,1 +93218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.005386692,1 +93217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.02248982,1 +93219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.88549906,1 +93221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.082966134,1 +93220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.110109793,1 +93222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.56277848,1 +93223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.226256651,1 +93224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.726458679,1 +93225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.919828939,1 +93226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.489000637,1 +93227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.000814077,1 +93229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.248126401,1 +93228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.65481526,1 +93231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.415731158,1 +93230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.771896849,1 +93232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.036187694,1 +93233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,8.729331639,1 +93234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.287341811,1 +93236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.167860246,1 +93235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.776219742,1 +93237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.011753114,1 +93238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.11194779,1 +93239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.603537142,1 +93241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.95939202,1 +93240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.45791424,1 +93243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.74549418,1 +93242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.084455628,1 +93244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.720848459,1 +93245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.123823919,1 +93247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.02334753,1 +93246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.064967416,1 +93248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.582765543,1 +93250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.129831235,1 +93251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.719593801,1 +93252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.28213779,1 +93253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.744109585,1 +93254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.263715939,1 +93249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.912425335,1 +93255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.743717218,1 +93256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.005799673,1 +93257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.062911367,1 +93259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.139597164,1 +93258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.883452787,1 +93260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.69445418,1 +93261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.506990533,1 +93263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.771870151,1 +93262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.619162047,1 +93264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.382520668,1 +93265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.241023925,1 +93267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.860419016,1 +93268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.59562239,1 +93269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.595230797,1 +93270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.361960504,1 +93266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.550334102,1 +93271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.398135347,1 +93272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.44500485,1 +93273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.802634553,1 +93274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.969389897,1 +93275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.503805158,1 +93278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.883924438,1 +93277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.4637473,1 +93276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.333006718,1 +93279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.594565277,1 +93281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.932334451,1 +93282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.027722392,1 +93280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.580127323,1 +93283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.035795312,1 +93284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.931793678,1 +93285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.143904121,1 +93287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.741403639,1 +93289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.865451692,1 +93288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.058458556,1 +93286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.827653788,1 +93291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.893746477,1 +93290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.416878407,1 +93292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.125812352,1 +93293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.063755,1 +93295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.621885318,1 +93294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.574226213,1 +93296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.093723127,1 +93298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.785301545,1 +93297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.317180866,1 +93300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.243897513,1 +93299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.127238898,1 +93301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.929690435,1 +93302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.522348521,1 +93303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.944355968,1 +93304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.594691882,1 +93305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.707222104,1 +93307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.432157708,1 +93308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.594005026,1 +93309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.800398963,1 +93306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.685853203,1 +93310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.876426136,1 +93311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.191257533,1 +93312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.207086806,1 +93313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.189249435,1 +93315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.808286561,1 +93314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.638506092,1 +93316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.721080834,1 +93319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.249433756,1 +93318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.42008964,1 +93317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.354235052,1 +93322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.696127097,1 +93323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.338333671,1 +93320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.547468896,1 +93324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.120925186,1 +93321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.791639112,1 +93325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.121379467,1 +93326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.517536929,1 +93327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.930710984,1 +93328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.721180861,1 +93330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.778202124,1 +93329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.726862976,1 +93332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.264282986,1 +93331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.703764604,1 +93333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.395616972,1 +93334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.207569779,1 +93335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.457843004,1 +93336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.58664764,1 +93337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.308882606,1 +93338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.607553797,1 +93340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.811545453,1 +93339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.150066937,1 +93341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.510974303,1 +93342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.596534658,1 +93343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.841618284,1 +93344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.290115969,1 +93345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.785508303,1 +93347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.516328417,1 +93348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.468252634,1 +93349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.155124326,1 +93350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.354369799,1 +93351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.244813824,1 +93346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.398570895,1 +93352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.625136038,1 +93355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.96621808,1 +93353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.033598738,1 +93354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.158449345,1 +93356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.071713947,1 +93357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.657565532,1 +93358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.569017362,1 +93359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.120136699,1 +93360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.954313204,1 +93362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.985878417,1 +93363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.884096113,1 +93364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.226997253,1 +93365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.588546564,1 +93366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.372184988,1 +93367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.283421956,1 +93361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.458022932,1 +93371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.285959327,1 +93368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.895055427,1 +93369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.156397604,1 +93372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.683296876,1 +93370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.077464365,1 +93373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.117437698,1 +93374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.495117044,1 +93375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.495833791,1 +93376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.18514058,1 +93377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.8960993,1 +93378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.899688082,1 +93380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.439092686,1 +93381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.049075107,1 +93382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.673174125,1 +93383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,1.971997632,1 +93379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.41347315,1 +93384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.145170323,1 +93387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.93984355,1 +93385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.813193009,1 +93386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.116230168,1 +93388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.174932156,1 +93389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.181535536,1 +93391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.727178679,1 +93390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.327188605,1 +93392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.99068661,1 +93394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.304173863,1 +93395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.136865721,1 +93393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.438512694,1 +93396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.527208115,1 +93397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.207510906,1 +93398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.954621528,1 +93401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.420529765,1 +93399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.64785769,1 +93402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.128144635,1 +93400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.880142459,1 +93404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.869396338,1 +93403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.098675825,1 +93405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.602444503,1 +93406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.913607926,1 +93407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.066646589,1 +93409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.028520131,1 +93408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.786885248,1 +93410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.514153118,1 +93411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.080612505,1 +93412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.498377369,1 +93414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.711379376,1 +93415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.924482465,1 +93413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.39310568,1 +93417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.243046556,1 +93416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.070318141,1 +93418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.216893783,1 +93419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.359603397,1 +93420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.233213013,1 +93421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.450993637,1 +93422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.864865205,1 +93424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.404229252,1 +93423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.764029215,1 +93426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.884684876,1 +93425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.084851216,1 +93427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.472962524,1 +93430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.227134768,1 +93428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.839511833,1 +93429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.709458327,1 +93431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.925355671,1 +93432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.271599186,1 +93434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.45820727,1 +93433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.025870609,1 +93435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.597682305,1 +93437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.626678033,1 +93436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.250961454,1 +93439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.868536799,1 +93440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.725626751,1 +93438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.522117885,1 +93442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.161381216,1 +93443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.838179653,1 +93441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.014137063,1 +93444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.171106805,1 +93447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.652283745,1 +93448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.52532542,1 +93446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.772751376,1 +93445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.893990112,1 +93452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.058684695,1 +93451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.321816337,1 +93449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.607797883,1 +93450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.662423369,1 +93453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.244725219,1 +93454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.101539082,1 +93455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.389501465,1 +93458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.310031704,1 +93457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.626005439,1 +93459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.484310977,1 +93456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.495604674,1 +93462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.318570604,1 +93461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.113132019,1 +93460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.427428923,1 +93463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.634652768,1 +93466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.799802021,1 +93465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.977103852,1 +93467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.386540181,1 +93468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.138601203,1 +93464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.731236232,1 +93469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.310551074,1 +93471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.408150637,1 +93473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.064051183,1 +93472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.536783475,1 +93470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.015452536,1 +93475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.458923692,1 +93476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.514862735,1 +93474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.350552105,1 +93479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.42949632,1 +93477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.264054866,1 +93478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.62741394,1 +93480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.079444824,1 +93481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.513162044,1 +93482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.334336066,1 +93483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.467797038,1 +93484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.832191276,1 +93486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.029419126,1 +93487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.566379238,1 +93488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.96693728,1 +93490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.856842317,1 +93485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.754326893,1 +93491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.194126706,1 +93489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.682488927,1 +93493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.534020809,1 +93494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.942006103,1 +93492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.095524263,1 +93496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.083685058,1 +93495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.227588819,1 +93497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.108997464,1 +93498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.894192114,1 +93499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.351225482,1 +93501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.510718349,1 +93500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.205845066,1 +93502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.382285881,1 +93504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.905650109,1 +93505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.341898322,1 +93506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.303227018,1 +93503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.458034851,1 +93507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.212807591,1 +93509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.761302114,1 +93510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.055003661,1 +93508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.094698675,1 +93511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.188501976,1 +93512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.491933616,1 +93513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.910629969,1 +93514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.337266337,1 +93515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.459931066,1 +93516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.673612571,1 +93517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.091986528,1 +93519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.827760837,1 +93518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.385714166,1 +93520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.200681429,1 +93523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.556035012,1 +93521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.246529311,1 +93522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.972556622,1 +93524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.018684167,1 +93526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.754915384,1 +93527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.231219348,1 +93528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.485769522,1 +93525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.785251584,1 +93529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.618628526,1 +93530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.73568694,1 +93531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.124848538,1 +93533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.094805708,1 +93535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.698235006,1 +93534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.511306361,1 +93532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.730850828,1 +93537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.941520256,1 +93536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.69824305,1 +93538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.463124809,1 +93539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.284569787,1 +93541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.80120336,1 +93542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.040112253,1 +93540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.642130883,1 +93544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.56700288,1 +93543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.485408131,1 +93546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.969860886,1 +93545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.062113105,1 +93548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.343046535,1 +93550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.373514206,1 +93549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.073658546,1 +93551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.448087458,1 +93547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.587271748,1 +93553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.774679659,1 +93552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,8.209410269,1 +93555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.323066141,1 +93554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.558026195,1 +93556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.946586359,1 +93557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.202170354,1 +93560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.309196357,1 +93558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.83237156,1 +93559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.389348048,1 +93561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.904614172,1 +93562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.525344283,1 +93564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.998158237,1 +93563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.559000141,1 +93565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.566425939,1 +93566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.785816299,1 +93567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.724052967,1 +93569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.564647394,1 +93568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.541475828,1 +93570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.788555382,1 +93571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.788724318,1 +93572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.359801338,1 +93573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.280669533,1 +93574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.158138449,1 +93576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.357007398,1 +93575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.706117814,1 +93578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.561085244,1 +93577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.35612101,1 +93579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.326349876,1 +93580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.275850534,1 +93581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.201034255,1 +93582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.362603079,1 +93583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.801262747,1 +93584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.79114048,1 +93586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.295166753,1 +93585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.114434753,1 +93587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.78242897,1 +93588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,1.472710808,1 +93591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.737529097,1 +93590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.238825559,1 +93589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.821888355,1 +93594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.940003911,1 +93592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.292379912,1 +93593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.929305946,1 +93595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.220895253,1 +93597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.930026093,1 +93596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.630116284,1 +93598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.191207987,1 +93599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.005083563,1 +93600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,8.391314267,1 +93601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.686655963,1 +93602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.849025043,1 +93603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.701546288,1 +93604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.305618799,1 +93605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.677310921,1 +93606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.400426663,1 +93607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.640798089,1 +93608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.596055017,1 +93610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.925270675,1 +93609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.504190285,1 +93612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.205373108,1 +93611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.266192404,1 +93613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.629064354,1 +93614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.167325544,1 +93615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.022549969,1 +93617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.141878441,1 +93618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.737751762,1 +93616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.217857475,1 +93619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.093537401,1 +93620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.439189709,1 +93621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.055721015,1 +93622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.61428017,1 +93623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.96123209,1 +93624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.190590953,1 +93625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.371784607,1 +93626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.086851532,1 +93627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.598151712,1 +93628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.430907138,1 +93629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.271031385,1 +93630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.139354707,1 +93631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.717151394,1 +93633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.355559622,1 +93632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.852339061,1 +93634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.218859766,1 +93635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.652087458,1 +93636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.929157067,1 +93637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.039152799,1 +93640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.048621157,1 +93639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.506022756,1 +93641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.436864333,1 +93638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.649781299,1 +93642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.70620693,1 +93643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.157585057,1 +93644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,1.806582926,1 +93646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.568383662,1 +93645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.028414345,1 +93647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.759602481,1 +93648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.410372093,1 +93649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.484705148,1 +93650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.33252523,1 +93651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.235247162,1 +93652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.222530879,1 +93653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.532123167,1 +93655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.845417416,1 +93656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.174966184,1 +93657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.810939737,1 +93658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.059563079,1 +93659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.48520504,1 +93654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.581548455,1 +93660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.74174575,1 +93662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.863044188,1 +93663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.323395159,1 +93661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.583466413,1 +93664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.032514981,1 +93665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.670065318,1 +93666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.025967288,1 +93667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.301491083,1 +93668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.229077929,1 +93669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.626261231,1 +93672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.375791298,1 +93670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.92564532,1 +93671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.185797354,1 +93673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.1217129,1 +93675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,8.086992266,1 +93674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.346506093,1 +93676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.747237827,1 +93677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.9038433,1 +93678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.357989803,1 +93679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.83561513,1 +93680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.4292983,1 +93681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.616672396,1 +93682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.771715103,1 +93683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.601086695,1 +93684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.495624011,1 +93685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.72759449,1 +93686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.407242775,1 +93687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.607352367,1 +93688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.878475855,1 +93689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.5461073,1 +93690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.94573504,1 +93692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.484667771,1 +93694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.502496615,1 +93691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.069724508,1 +93693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.184516414,1 +93695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.156718185,1 +93696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.607387529,1 +93697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.983431732,1 +93698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.97357838,1 +93699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.556217814,1 +93700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.665380284,1 +93702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.315886694,1 +93701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.148713159,1 +93703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.258315937,1 +93704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.99763952,1 +93706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.72394534,1 +93707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.157560605,1 +93705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.128289615,1 +93708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.765129667,1 +93709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.189619355,1 +93710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.139359685,1 +93711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.847322966,1 +93712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.250661446,1 +93713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.586812626,1 +93714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.879816993,1 +93715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.110095759,1 +93716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.65885828,1 +93718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.970647079,1 +93719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.177960125,1 +93722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.55624913,1 +93720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.002537329,1 +93717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.425574642,1 +93721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.224749891,1 +93724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.120054132,1 +93725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.135046537,1 +93726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.49906058,1 +93723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.145299741,1 +93728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.501772278,1 +93729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.281434524,1 +93730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,1.773835663,1 +93727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.989906701,1 +93732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.974248775,1 +93731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.059201966,1 +93733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.008400328,1 +93734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.207061128,1 +93736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.034814217,1 +93737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.549787035,1 +93735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,8.389639904,1 +93738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.414721481,1 +93739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.778462048,1 +93740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.668929949,1 +93741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.898117046,1 +93742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.869225114,1 +93743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.693448343,1 +93745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.195358947,1 +93746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.495334949,1 +93744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.549156237,1 +93747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.919221291,1 +93748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.557858382,1 +93749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.58596395,1 +93750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.274938568,1 +93752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.255781706,1 +93751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.62821102,1 +93754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.394143159,1 +93753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.050096509,1 +93756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.734246258,1 +93755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.877033828,1 +93758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.271196253,1 +93759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.964128223,1 +93760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.559005416,1 +93761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.782909649,1 +93762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.190486324,1 +93757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.434077178,1 +93763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.676714115,1 +93764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.308053394,1 +93765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.256329082,1 +93767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.230835266,1 +93766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.606213342,1 +93770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.724387567,1 +93768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.18499541,1 +93769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.41859546,1 +93771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.81915414,1 +93772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.868004592,1 +93773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.802235171,1 +93774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.386181711,1 +93776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.92789983,1 +93777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.259389307,1 +93778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,8.125656485,1 +93775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.192742785,1 +93779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.074977044,1 +93780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,8.053011057,1 +93781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.958144903,1 +93782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.755591984,1 +93784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.44882332,1 +93783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.595073018,1 +93785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.507551464,1 +93787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.10481637,1 +93786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.498820882,1 +93789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.786040393,1 +93788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.968584278,1 +93790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.248893401,1 +93791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.546763206,1 +93792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.302377531,1 +93793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.446386729,1 +93794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.654359096,1 +93796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.155847844,1 +93797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.571185285,1 +93799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.244360141,1 +93798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.925249172,1 +93795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.049289103,1 +93800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.816390301,1 +93802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.191970003,1 +93803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.363529803,1 +93801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.409866211,1 +93804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.113313637,1 +93805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.300151925,1 +93807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.347726389,1 +93806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.409817335,1 +93808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.512593638,1 +93809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.719521406,1 +93810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.700454343,1 +93812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.182717271,1 +93814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.371162261,1 +93811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.956839132,1 +93813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.219299908,1 +93815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.70365293,1 +93816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.353161416,1 +93817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.08752876,1 +93818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.134406332,1 +93819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.761423706,1 +93820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.330488291,1 +93821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.741895286,1 +93822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.113232983,1 +93823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.629542051,1 +93824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.271311943,1 +93826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.547314189,1 +93827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.131569692,1 +93825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.2364007,1 +93828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.95130176,1 +93832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.067528438,1 +93829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.248680034,1 +93831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.731392153,1 +93830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.037302737,1 +93833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.570687854,1 +93834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.663107608,1 +93836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.771570631,1 +93835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.128661058,1 +93837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.017892236,1 +93838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.332814806,1 +93839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.893974248,1 +93841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.429148564,1 +93840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.522199521,1 +93842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,8.883753565,1 +93843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.609318923,1 +93844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,8.18782381,1 +93845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.088176731,1 +93846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.85040396,1 +93847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.14023397,1 +93848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.256321642,1 +93850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.323745019,1 +93851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.968073144,1 +93852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.748274756,1 +93849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.531190892,1 +93853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.0540569,1 +93855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.23367553,1 +93854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.215293191,1 +93858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.607245166,1 +93857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.733788543,1 +93859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.264789011,1 +93856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.212767267,1 +93860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.268926857,1 +93862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.674851331,1 +93861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.112453905,1 +93863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.839066057,1 +93864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.343572904,1 +93866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.442532149,1 +93865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.702908446,1 +93867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.639859232,1 +93868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.485247219,1 +93869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.956948288,1 +93870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.504478087,1 +93872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.01393593,1 +93873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.034101674,1 +93874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.809189586,1 +93875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.3145862,1 +93871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.134479959,1 +93876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.653062968,1 +93877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.963898828,1 +93879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.695150683,1 +93878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.057599265,1 +93881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.863061025,1 +93880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.316891611,1 +93883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.38404245,1 +93882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.219262872,1 +93885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.743642052,1 +93884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.526445945,1 +93886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.698642953,1 +93889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.85125099,1 +93888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,8.006350615,1 +93890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.306473296,1 +93891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.963599732,1 +93887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.400677183,1 +93892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.774986051,1 +93893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.723549741,1 +93895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.314376278,1 +93894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.846058029,1 +93896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.975006805,1 +93897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.934476564,1 +93899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.960054653,1 +93898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.963069192,1 +93900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.589976114,1 +93901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.777504371,1 +93902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.29740196,1 +93903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.503712687,1 +93904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.614511317,1 +93905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.041831017,1 +93906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.209561681,1 +93907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.472304783,1 +93908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.661756361,1 +93909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.434282166,1 +93912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.201312257,1 +93911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.059795352,1 +93913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.305493544,1 +93910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.799199274,1 +93914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,8.618995488,1 +93915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.030769652,1 +93916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.525896105,1 +93918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.4932291,1 +93920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.93828048,1 +93919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.601724711,1 +93917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.032949371,1 +93921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.464593675,1 +93922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.752899647,1 +93924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.098146427,1 +93923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.348731482,1 +93925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.777116025,1 +93926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.17995561,1 +93927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.432699217,1 +93928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.570689122,1 +93929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.70048967,1 +93930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.018590447,1 +93932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.14187466,1 +93933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.431551954,1 +93934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.651534877,1 +93931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.974536068,1 +93935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.588125045,1 +93936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.377292543,1 +93938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.145618726,1 +93937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.714480349,1 +93939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.360092438,1 +93941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.774265682,1 +93940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.014140635,1 +93942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.287856703,1 +93944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.220161207,1 +93943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.0810035,1 +93946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.622681515,1 +93945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.310360661,1 +93949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.124413036,1 +93948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.78259796,1 +93950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.818115205,1 +93947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.34430512,1 +93952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.948173816,1 +93954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.470344254,1 +93953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.223273702,1 +93951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.262302502,1 +93955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.510644593,1 +93956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.614479522,1 +93957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.076060103,1 +93958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.681052799,1 +93960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.61199985,1 +93959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.925254463,1 +93961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.448745514,1 +93962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.288145689,1 +93964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.562948666,1 +93966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.238907056,1 +93965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.90645894,1 +93963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.727983217,1 +93970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.06289109,1 +93968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.825761322,1 +93967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.357802508,1 +93969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.555628873,1 +93972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.613400563,1 +93971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.381617197,1 +93973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.855897021,1 +93974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.810874476,1 +93975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.882667998,1 +93976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.794494388,1 +93977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.861875653,1 +93978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.709845109,1 +93979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.03873737,1 +93982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.372860065,1 +93981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.680307102,1 +93980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.186727768,1 +93983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,2.776637954,1 +93986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.677601611,1 +93984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.101336099,1 +93985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.669799218,1 +93987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.70200441,1 +93988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.301764378,1 +93989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.802784864,1 +93990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.382688826,1 +93991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,7.015136482,1 +93992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.13146003,1 +93993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.931607759,1 +93995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.32885776,1 +93994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,1.901702653,1 +93997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,6.142962616,1 +93996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,3.37581943,1 +93999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.713891807,1 +93998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,4.330997833,1 +94000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,4,1,5.00879535,1 +103001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.027713141,1 +103002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.433175376,1 +103003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.227828031,1 +103004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.684592145,1 +103005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.658815401,1 +103006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,7.329920891,1 +103007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.225937887,1 +103008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.112635569,1 +103009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.848200992,1 +103010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.328435527,1 +103012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.048334383,1 +103011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.515695382,1 +103013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.152612544,1 +103014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.518329815,1 +103015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.278963929,1 +103016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,8.264397798,1 +103018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.840874294,1 +103019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.901996039,1 +103017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.980199609,1 +103020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.462481616,1 +103021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.012071992,1 +103022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.705427622,1 +103023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.252062493,1 +103024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.577968624,1 +103026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.588588602,1 +103025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.704152306,1 +103027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.277285534,1 +103029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.051500786,1 +103028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.42622861,1 +103030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.302794497,1 +103032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.531858707,1 +103031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.620353499,1 +103033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.865270099,1 +103034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.929465785,1 +103035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.62478437,1 +103037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,7.001291606,1 +103038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.348885804,1 +103036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.771840682,1 +103039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.140262823,1 +103041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.858491142,1 +103040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.676040919,1 +103042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.241587213,1 +103043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.053519971,1 +103044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.871735685,1 +103045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.671822818,1 +103046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,7.160837227,1 +103047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.804420484,1 +103049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.537947829,1 +103048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.124033311,1 +103051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.977465392,1 +103052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.330275716,1 +103053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.201563464,1 +103054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.095071029,1 +103055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.51241212,1 +103050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.895036915,1 +103056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.892157625,1 +103057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.360453772,1 +103058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.741459405,1 +103060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.732674907,1 +103061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.667911718,1 +103062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,8.497171588,1 +103059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.56044805,1 +103063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.270166398,1 +103064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.923478331,1 +103066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.458280498,1 +103065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.933170643,1 +103067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.934562287,1 +103068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.968432581,1 +103069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.316431195,1 +103070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.513695352,1 +103071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.382668007,1 +103072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.373131137,1 +103073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.366666119,1 +103074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.395132979,1 +103075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.078645133,1 +103076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.052048931,1 +103078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.658277942,1 +103079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.195447273,1 +103080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.541069878,1 +103081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.901122911,1 +103082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.933131145,1 +103077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.365829107,1 +103084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.701567882,1 +103083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.125846461,1 +103085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.82537358,1 +103086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,7.206739443,1 +103088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.118058029,1 +103087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.64275542,1 +103089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.846731361,1 +103090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.425573268,1 +103092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.486413532,1 +103093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.608905038,1 +103091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.518303445,1 +103094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.456767449,1 +103095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.656619819,1 +103096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.805112455,1 +103097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.570432883,1 +103099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.31586503,1 +103100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.562480491,1 +103101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.251443797,1 +103103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.060991715,1 +103104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.945966259,1 +103098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.398012446,1 +103102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.645878873,1 +103106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.782960187,1 +103105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.76250143,1 +103107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.602185177,1 +103109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.058970691,1 +103110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.47006184,1 +103108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.741832692,1 +103111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.423395577,1 +103112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.661890268,1 +103114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.08122082,1 +103113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.922957188,1 +103115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.46197457,1 +103118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.081728887,1 +103116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.732618373,1 +103117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.808980096,1 +103119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.007238472,1 +103122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.435356869,1 +103121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,1.831653574,1 +103123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.856765294,1 +103120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.026849012,1 +103125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.846952366,1 +103124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.917822861,1 +103126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.409504337,1 +103127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.460660662,1 +103128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.712823,1 +103129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.896809765,1 +103131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.407454097,1 +103130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.427587382,1 +103132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.697201024,1 +103133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.42016702,1 +103134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.522567654,1 +103136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.971917124,1 +103137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.90942635,1 +103135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.481129799,1 +103139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.902265083,1 +103138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.473834021,1 +103141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.481126404,1 +103140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.037285574,1 +103143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.665410981,1 +103142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.547733116,1 +103144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.521389775,1 +103145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.629695288,1 +103146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.917023381,1 +103147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.787648018,1 +103148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.58858512,1 +103150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.75798106,1 +103151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.937133082,1 +103149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.496365637,1 +103152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.109304077,1 +103153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.675500165,1 +103154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.454913391,1 +103156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.298484615,1 +103158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.859204315,1 +103155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.693079926,1 +103157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.58271043,1 +103159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.566251125,1 +103161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.93872316,1 +103160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.666090254,1 +103162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.367573734,1 +103163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.983649945,1 +103165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.70062012,1 +103166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.731118605,1 +103167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.514568821,1 +103164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.290130632,1 +103168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.355676636,1 +103169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.904285171,1 +103171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.115479405,1 +103170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.134533954,1 +103173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.360552495,1 +103172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.868027377,1 +103174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.78344607,1 +103177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.4024058,1 +103175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.858138527,1 +103178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.352140336,1 +103176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.866213214,1 +103180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.225227902,1 +103179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.839290274,1 +103181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.81100068,1 +103182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.723509961,1 +103184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.233682876,1 +103186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.341792174,1 +103185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.112479989,1 +103183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,7.570614701,1 +103187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.671607851,1 +103189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.149644104,1 +103190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.675281421,1 +103188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.390576025,1 +103191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.999641002,1 +103194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.499599326,1 +103193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.559806803,1 +103195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.894415017,1 +103192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.236298759,1 +103197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.253605938,1 +103196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.408087299,1 +103199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,9.062097818,1 +103198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.112003984,1 +103201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.612554374,1 +103200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,7.277492819,1 +103202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.155530853,1 +103203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.769540914,1 +103204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,8.267700357,1 +103206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.032127513,1 +103205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.064782786,1 +103207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.281054772,1 +103209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.354370703,1 +103208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.956523721,1 +103210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.960886628,1 +103211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.668840427,1 +103213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.347817709,1 +103212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.33715389,1 +103215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.273218864,1 +103214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.221642968,1 +103216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.723402843,1 +103217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.923261365,1 +103218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.768484957,1 +103219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.419506523,1 +103220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.248300493,1 +103221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.699481138,1 +103222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.010490087,1 +103223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.633501338,1 +103224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.099535889,1 +103225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.300954856,1 +103226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.977522858,1 +103227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.158807928,1 +103228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.957075079,1 +103229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.109620385,1 +103230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.262724683,1 +103232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.349968549,1 +103233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.416668551,1 +103231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.069955123,1 +103234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.360293778,1 +103235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.01595518,1 +103237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,7.364898906,1 +103236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.689752688,1 +103238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.466478741,1 +103239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.637296508,1 +103241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.981998949,1 +103240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.411465335,1 +103242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.764424692,1 +103243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.42369044,1 +103245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.545316804,1 +103244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.922737576,1 +103246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.87344537,1 +103247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.171839663,1 +103250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.849978952,1 +103249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.323857385,1 +103251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.239376287,1 +103248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.458727044,1 +103253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.465154997,1 +103252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.414280215,1 +103254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.956726061,1 +103255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,8.163956097,1 +103256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.65121617,1 +103257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.908384726,1 +103258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.776304199,1 +103259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.473824678,1 +103260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,1.732918657,1 +103261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.820502603,1 +103262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.560900266,1 +103263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.627090493,1 +103264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.663555702,1 +103265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.460436078,1 +103266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.613056293,1 +103269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.661727567,1 +103268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.326004069,1 +103270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.03607017,1 +103267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.592496115,1 +103271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.31176981,1 +103272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.101706024,1 +103273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.57578974,1 +103274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.017604921,1 +103275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.698121662,1 +103276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,7.828970133,1 +103277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.836178446,1 +103279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.115856755,1 +103278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.470091729,1 +103280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.963716778,1 +103281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.663536859,1 +103283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.095429919,1 +103282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.023636629,1 +103284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.897691463,1 +103285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.596071709,1 +103288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.047957228,1 +103286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.13291821,1 +103287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.580281875,1 +103289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.251977416,1 +103290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.084764143,1 +103291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.369327345,1 +103292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.279213869,1 +103293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.950668478,1 +103294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.567250346,1 +103295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.567275836,1 +103296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.601650453,1 +103297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.299974178,1 +103298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.9972026,1 +103299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.776087525,1 +103300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.813158751,1 +103302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.959631198,1 +103301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.163718881,1 +103303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.832815395,1 +103304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.658626872,1 +103305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,8.012650627,1 +103307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.04972631,1 +103306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.405335143,1 +103308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.501889515,1 +103309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.513571018,1 +103310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.918354248,1 +103311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.278065005,1 +103312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.293473014,1 +103313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.834466858,1 +103314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.76931979,1 +103315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.559824056,1 +103316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.630566289,1 +103317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,8.048188711,1 +103318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.227696811,1 +103319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.777311267,1 +103320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.522805989,1 +103322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.385636505,1 +103321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.863666044,1 +103323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,8.080925401,1 +103326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.234684154,1 +103324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.053056938,1 +103325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.346050662,1 +103327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,1.274872202,1 +103328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.901911037,1 +103331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.588241195,1 +103329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.39344647,1 +103330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.938043855,1 +103332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.354753582,1 +103333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.32770328,1 +103334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.594753083,1 +103335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.608113327,1 +103338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.102731847,1 +103336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.631066396,1 +103337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.730453854,1 +103339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.999912268,1 +103340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.531787655,1 +103342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.81702472,1 +103341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.823900583,1 +103343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.863551958,1 +103344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.246316087,1 +103345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.117771382,1 +103346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.385391816,1 +103347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.813434494,1 +103348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.504448621,1 +103349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.284945856,1 +103350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.958883241,1 +103352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.759110916,1 +103351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.464764368,1 +103353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.166559254,1 +103354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.741222446,1 +103355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.876735979,1 +103356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.033066333,1 +103357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.282617533,1 +103358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.671267366,1 +103359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.342119168,1 +103362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.502960883,1 +103360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.760554156,1 +103361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.748752162,1 +103363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.601681777,1 +103364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.354352484,1 +103365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.092980946,1 +103366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.391722827,1 +103367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.941113129,1 +103368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.504585288,1 +103370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.997626337,1 +103369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.730859001,1 +103371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.611185988,1 +103372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.076447828,1 +103373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.659188447,1 +103374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.619429868,1 +103377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.833631669,1 +103375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.358417779,1 +103376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.68091989,1 +103378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.205871763,1 +103380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.614609919,1 +103381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.822600894,1 +103379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.996794468,1 +103382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.302837534,1 +103383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.808360779,1 +103384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.533194792,1 +103385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.411438288,1 +103386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.538282291,1 +103387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.738356501,1 +103388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.282679653,1 +103389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.019811151,1 +103391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.129282003,1 +103392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.745912463,1 +103390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.221406692,1 +103393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.789233621,1 +103396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.250256714,1 +103397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.444901074,1 +103395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.253200676,1 +103394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.213496149,1 +103398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.4634807,1 +103399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.709950333,1 +103400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.428645753,1 +103401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.569027584,1 +103403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.299622491,1 +103404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,7.083704414,1 +103402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.410559435,1 +103405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.482689342,1 +103406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.668467254,1 +103407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.330418205,1 +103409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.700888147,1 +103408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,7.165034933,1 +103410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.884866103,1 +103411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.563090483,1 +103412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.065159082,1 +103413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.763186665,1 +103414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.912756049,1 +103415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.741687898,1 +103416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.338082339,1 +103418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.364609111,1 +103419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.058416823,1 +103420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.543894776,1 +103421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.18218574,1 +103422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.158379026,1 +103423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.113005471,1 +103424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.543992313,1 +103417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.358703915,1 +103425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.644572181,1 +103426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.094221522,1 +103429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.136683922,1 +103427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.497148777,1 +103428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.771141782,1 +103430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.222472002,1 +103433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.204370761,1 +103432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.29034422,1 +103431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.318157197,1 +103436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.592089479,1 +103434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.31219868,1 +103437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.822569718,1 +103435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,7.457906059,1 +103438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,7.899906856,1 +103439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.523803964,1 +103440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.816049034,1 +103441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.435887136,1 +103443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.386042964,1 +103444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.246486887,1 +103442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.346829024,1 +103446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.73362657,1 +103447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.36249923,1 +103448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.287072156,1 +103449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.440035795,1 +103445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.432709245,1 +103451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.976737195,1 +103453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.685645869,1 +103450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.399281011,1 +103452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.74080593,1 +103454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.182806949,1 +103456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.080134013,1 +103455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.207464697,1 +103458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.943789417,1 +103457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.364560118,1 +103459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.874172976,1 +103460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.859072569,1 +103461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.027392921,1 +103462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.025181297,1 +103463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.907899078,1 +103465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.556320236,1 +103466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.989502211,1 +103467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.569663637,1 +103469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.002227426,1 +103470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.133914197,1 +103464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.69871779,1 +103468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.131131132,1 +103472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.887569485,1 +103471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.420066691,1 +103473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.450409594,1 +103474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.245464213,1 +103475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.258605764,1 +103476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.658556897,1 +103477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.522844609,1 +103478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.598934634,1 +103479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.524999583,1 +103480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.858372137,1 +103481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.243372011,1 +103482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,7.277950375,1 +103483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.315548453,1 +103484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.190500486,1 +103486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,8.762326078,1 +103485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.219834482,1 +103487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.576789789,1 +103488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.966049378,1 +103490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.688769261,1 +103491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.116140786,1 +103489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.700874613,1 +103492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.817157638,1 +103493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.111963121,1 +103494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.382446815,1 +103495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.087932703,1 +103496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.317151322,1 +103497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.682848909,1 +103499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.641476832,1 +103498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.335094391,1 +103500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.226747365,1 +103502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.094227265,1 +103503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.581280426,1 +103504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.501821251,1 +103501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,7.006599848,1 +103508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.936647627,1 +103506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.960477654,1 +103507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.23015177,1 +103505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.364389881,1 +103509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.700521841,1 +103510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.539845135,1 +103511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.858968781,1 +103512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.79474714,1 +103513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.05109589,1 +103514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.904227487,1 +103515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.855750816,1 +103516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.046868954,1 +103517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.011544645,1 +103519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.984613175,1 +103518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.988546062,1 +103520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.533965394,1 +103524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.820723731,1 +103521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.555276313,1 +103523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.450976746,1 +103522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.349788312,1 +103526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.438048277,1 +103527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.253581879,1 +103525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.264176187,1 +103528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.952848562,1 +103529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.498060483,1 +103531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.352972762,1 +103532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.009967572,1 +103530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.306867741,1 +103533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.732333219,1 +103534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.260121337,1 +103535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.269795053,1 +103537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.655831507,1 +103536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.757171834,1 +103538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.143858869,1 +103539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.246592907,1 +103542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.297582836,1 +103541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.839802993,1 +103540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.759432659,1 +103543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.180263677,1 +103546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.936586818,1 +103545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.880317933,1 +103544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.973258739,1 +103547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.51125345,1 +103548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,8.880880041,1 +103549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.06192435,1 +103551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.650222098,1 +103550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.859460405,1 +103552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.576172293,1 +103555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.190232154,1 +103554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.044407056,1 +103553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.922010143,1 +103556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.871849785,1 +103557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.312212455,1 +103558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.291034646,1 +103559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.157603326,1 +103560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.088531971,1 +103561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.299683278,1 +103564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.185787147,1 +103562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.85886903,1 +103563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.14805622,1 +103565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.360813177,1 +103566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.379871019,1 +103567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.247051418,1 +103568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.06459977,1 +103570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.15144192,1 +103569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.603921112,1 +103571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.383939635,1 +103572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.133431915,1 +103573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.331744973,1 +103574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,9.963344731,1 +103575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.900274884,1 +103578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.699008693,1 +103576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.20294703,1 +103579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.678217624,1 +103577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.749280849,1 +103581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.906737036,1 +103582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.117988502,1 +103580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.069572014,1 +103583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.540397089,1 +103584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.340668649,1 +103585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.29060577,1 +103586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.279084405,1 +103587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.868016837,1 +103588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.800508588,1 +103590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.051476078,1 +103589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.480565349,1 +103591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.941754261,1 +103593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,7.465537032,1 +103595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,7.92288903,1 +103594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.466056936,1 +103592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.149618274,1 +103596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.354283975,1 +103598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.492950051,1 +103599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.62279569,1 +103597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.25147723,1 +103601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.228010085,1 +103603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.038759717,1 +103602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.805647757,1 +103600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.415294684,1 +103604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.559204548,1 +103605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.003396098,1 +103607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.716053799,1 +103606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.857614564,1 +103608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.703412427,1 +103609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.329714506,1 +103610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.741647815,1 +103611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.654617658,1 +103612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.227269567,1 +103613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.629051686,1 +103614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.618597121,1 +103616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.764247913,1 +103617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.903668095,1 +103615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.303038235,1 +103618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.105608254,1 +103619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.946730967,1 +103620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.024461844,1 +103622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.962149077,1 +103623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.935155028,1 +103621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.237374181,1 +103624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.076009176,1 +103625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.96391947,1 +103626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.305219959,1 +103627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.007646343,1 +103628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.86453122,1 +103629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.698245348,1 +103630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.926737419,1 +103631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,7.067906472,1 +103633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.680532699,1 +103632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,7.71292537,1 +103634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.474025684,1 +103636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.382725589,1 +103635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.491891417,1 +103637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.21230634,1 +103638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.384368118,1 +103639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.846294055,1 +103641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.590955609,1 +103642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.3618027,1 +103640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.379958115,1 +103643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.893648687,1 +103644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.206442853,1 +103645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.236571199,1 +103646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.348738735,1 +103648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.878864475,1 +103647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.379849466,1 +103649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.412903564,1 +103650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.720924246,1 +103652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.200486693,1 +103653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.840792657,1 +103651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.19272933,1 +103654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.742176002,1 +103657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.441948882,1 +103655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.643400496,1 +103656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.007347199,1 +103658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.698377976,1 +103659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.749032258,1 +103660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.894749469,1 +103662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.409352993,1 +103661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.345407198,1 +103663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.94311367,1 +103664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.479989343,1 +103665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.764253538,1 +103666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.665365027,1 +103667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.096416261,1 +103668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.43113034,1 +103670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.668085911,1 +103672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.608712691,1 +103669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.743401212,1 +103671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.320733338,1 +103674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.53199504,1 +103675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.267492955,1 +103673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.322937614,1 +103676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.672356254,1 +103678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.288471393,1 +103677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.587935443,1 +103679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.648031396,1 +103680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.223759574,1 +103682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.367626038,1 +103681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.396422865,1 +103683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.323744526,1 +103684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.744004523,1 +103685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.286951482,1 +103686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.344263355,1 +103688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.924229157,1 +103687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.360475078,1 +103689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.091829913,1 +103690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.121955076,1 +103691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.914405755,1 +103693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.307729684,1 +103692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.946650269,1 +103694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.1857604,1 +103696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.111381678,1 +103695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.720770915,1 +103697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.922288205,1 +103698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.501424469,1 +103699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.044443136,1 +103700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.108425144,1 +103701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.067056815,1 +103702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.436320772,1 +103703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.581014201,1 +103704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.287466046,1 +103705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.58998852,1 +103707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,8.88255372,1 +103706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.773475647,1 +103708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.6510048,1 +103709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.952238593,1 +103710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.07342827,1 +103711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.339395824,1 +103712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,7.83417333,1 +103713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.864399745,1 +103715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.091943278,1 +103714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.559965232,1 +103716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.986423103,1 +103719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.732093553,1 +103718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.160034609,1 +103720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.207425865,1 +103717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.591775556,1 +103721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.152315481,1 +103722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.24902051,1 +103723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.199497576,1 +103724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.75787676,1 +103728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.690672359,1 +103725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.406373214,1 +103726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.836281989,1 +103727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.556823894,1 +103730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.749750298,1 +103731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,7.423650495,1 +103729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.950941344,1 +103732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,7.021919922,1 +103733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.443283322,1 +103734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.815127234,1 +103736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.086734843,1 +103737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,9.752937268,1 +103735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.948281376,1 +103738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.8947304,1 +103739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,8.268651519,1 +103740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.259468321,1 +103742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.362811508,1 +103741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.051667588,1 +103743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.852068365,1 +103746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.329609954,1 +103744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.404701258,1 +103745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.676695123,1 +103747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.283420568,1 +103748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.976749324,1 +103749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.84636033,1 +103751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.347510932,1 +103750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.603106287,1 +103753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.631936684,1 +103752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.831952169,1 +103755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.359520754,1 +103754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.880531416,1 +103756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.722353125,1 +103757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.825893285,1 +103758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.733728633,1 +103759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.976173138,1 +103761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.140745781,1 +103763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,8.174521952,1 +103760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.594934701,1 +103762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.373292715,1 +103764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.249607736,1 +103767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.718268217,1 +103766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.718708071,1 +103765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.627376445,1 +103769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.109303544,1 +103770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,7.457440293,1 +103768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.224355973,1 +103771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.683187432,1 +103773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.470026497,1 +103772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.048062234,1 +103774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,7.819436949,1 +103775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.930995341,1 +103776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.615551942,1 +103777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.97076907,1 +103778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.854467458,1 +103779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,7.181516342,1 +103780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.435952177,1 +103781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.3386027,1 +103783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.445777,1 +103782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.15066299,1 +103784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,7.961649435,1 +103785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.742340926,1 +103786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.887533872,1 +103789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.860473438,1 +103788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.289729178,1 +103787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.096500259,1 +103790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.248111177,1 +103791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.754022674,1 +103792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.297754097,1 +103793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.1755272,1 +103794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.855909446,1 +103795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,7.830669144,1 +103796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.136310852,1 +103797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.393277259,1 +103798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.416121876,1 +103800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.670413819,1 +103799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.525193591,1 +103802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.444840552,1 +103801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.39128641,1 +103803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.503707595,1 +103804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,8.458832576,1 +103805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.821397438,1 +103806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.259660024,1 +103807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.079870212,1 +103809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.124320058,1 +103810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.086356657,1 +103811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.957701908,1 +103808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.542321097,1 +103812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.232609542,1 +103813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.692961559,1 +103815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.23364452,1 +103816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.920403751,1 +103814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.705121442,1 +103818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.461279806,1 +103819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.366897127,1 +103817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.115787796,1 +103820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.99952595,1 +103821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.209641711,1 +103823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.147744918,1 +103822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.193189452,1 +103824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.50275759,1 +103825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.083139066,1 +103826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.746168074,1 +103827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.550506151,1 +103828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.268629462,1 +103829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.620845606,1 +103831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.744362895,1 +103832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.841882532,1 +103830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.267266623,1 +103833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.020793724,1 +103834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.766855636,1 +103837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.53715438,1 +103835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,7.176499039,1 +103836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.644823651,1 +103838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.96517441,1 +103839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.890978621,1 +103840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.375363536,1 +103842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.396100303,1 +103841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.093729885,1 +103843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.644618424,1 +103845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.914642532,1 +103844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.509800824,1 +103846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.404630044,1 +103847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.158310682,1 +103848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.467973921,1 +103849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.679064277,1 +103850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.514183534,1 +103851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.908074259,1 +103853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.413063684,1 +103852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.717963511,1 +103854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.992277038,1 +103855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.953973641,1 +103856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.139440796,1 +103858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.568517006,1 +103857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.120390268,1 +103859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.202370822,1 +103860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.300270996,1 +103861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.227231093,1 +103863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.295092271,1 +103862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.571645164,1 +103864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,8.02651597,1 +103865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.930513941,1 +103866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.747125563,1 +103867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.265385589,1 +103868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,7.130511284,1 +103869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.234669766,1 +103870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.835147749,1 +103871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.059795832,1 +103872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.274529495,1 +103873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.86344979,1 +103875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.15104129,1 +103874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.935875799,1 +103876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.803690563,1 +103877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.032438858,1 +103878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.395589892,1 +103879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.999198787,1 +103880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.221223241,1 +103881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.743103,1 +103882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.999233574,1 +103883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.711256924,1 +103884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.415406373,1 +103885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.805861239,1 +103887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,7.171619345,1 +103888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.253357854,1 +103886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.977333161,1 +103889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.655069228,1 +103890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.999706648,1 +103891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.09658781,1 +103893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.279422988,1 +103894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.962244963,1 +103892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,7.309165795,1 +103895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.256772758,1 +103896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.027092869,1 +103897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,9.607718315,1 +103898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.184283575,1 +103899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.668629302,1 +103900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.274967936,1 +103901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.273428234,1 +103902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,7.774550445,1 +103903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.329609285,1 +103905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.505382311,1 +103904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.837008732,1 +103906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.506207272,1 +103908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.059376541,1 +103907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.570386374,1 +103909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.142215542,1 +103910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,7.743052776,1 +103911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.906646877,1 +103912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.120089999,1 +103913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.995570922,1 +103914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.495073684,1 +103915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.925966707,1 +103916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.864882929,1 +103917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.252627428,1 +103919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.954003238,1 +103918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.3203653,1 +103921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.653534875,1 +103920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.168425026,1 +103924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.376776438,1 +103923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.67513156,1 +103922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.217533153,1 +103925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.029652893,1 +103927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.326788826,1 +103926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.228621333,1 +103929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.937440927,1 +103928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.036430248,1 +103931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.219963031,1 +103930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.482754895,1 +103932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.754175635,1 +103933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.051764782,1 +103934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.480178147,1 +103935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.804541143,1 +103936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.031338872,1 +103937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.927131536,1 +103938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.925875466,1 +103940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.116377499,1 +103939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.74114661,1 +103941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,1.887915564,1 +103942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.404649725,1 +103944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.121108918,1 +103945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.856966283,1 +103943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.549921302,1 +103947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.086578052,1 +103948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.723448717,1 +103949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.171275751,1 +103946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.74967425,1 +103950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.279950716,1 +103952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.682935967,1 +103951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.03890446,1 +103953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.631838452,1 +103954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.818092971,1 +103956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.169447113,1 +103955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.464688732,1 +103957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.838212461,1 +103958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.833662063,1 +103959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.857043678,1 +103960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.885583363,1 +103961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.226199936,1 +103962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.488312869,1 +103963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.166570037,1 +103964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.995294456,1 +103966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,7.928275768,1 +103965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.195103492,1 +103967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.091972352,1 +103968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,7.275585142,1 +103970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.562479486,1 +103969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.763703506,1 +103971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.582526312,1 +103972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.420639112,1 +103974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.695881594,1 +103973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.031778963,1 +103975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.960872705,1 +103976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.157867311,1 +103977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.06349131,1 +103979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.589470419,1 +103978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.28115123,1 +103980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.027495713,1 +103983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.502473604,1 +103982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.050568651,1 +103981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.24292434,1 +103984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.949243048,1 +103986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.742537125,1 +103987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.492414154,1 +103988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.865541906,1 +103985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,2.079318324,1 +103989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.498471748,1 +103990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.937003039,1 +103991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.69027306,1 +103993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.85764548,1 +103992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.48386975,1 +103994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.344657736,1 +103995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.53266784,1 +103996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,7.047923237,1 +103997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,6.786744439,1 +103998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,3.019819518,1 +103999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,4.087007415,1 +104000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,4,1,5.700780941,1 +113001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.83275901,1 +113002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.363206264,1 +113003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.289211633,1 +113004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.666854065,1 +113005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.75077005,1 +113006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.709101404,1 +113007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.346487161,1 +113008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.786521022,1 +113009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.666686779,1 +113011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.324032901,1 +113010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.15451856,1 +113012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.963608781,1 +113013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.903902337,1 +113014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.736762897,1 +113015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.373168943,1 +113016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.967953453,1 +113017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.588591606,1 +113018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.602489237,1 +113019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.147645389,1 +113020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.015544718,1 +113022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.834948268,1 +113023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.932072697,1 +113021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.555401716,1 +113024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.221635343,1 +113025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.961797602,1 +113028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.99378737,1 +113026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.012897591,1 +113027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.050013959,1 +113029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.060557842,1 +113031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.051360443,1 +113032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.285677698,1 +113030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.76461112,1 +113033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.919465868,1 +113034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.143828197,1 +113035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.93351195,1 +113036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.85980996,1 +113037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.857806402,1 +113038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.276752784,1 +113040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.475393872,1 +113039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.311957325,1 +113041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.746331026,1 +113042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.725697379,1 +113043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.133373707,1 +113044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.830689935,1 +113045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.509036512,1 +113046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.036667617,1 +113047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.549411726,1 +113048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.065633022,1 +113049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.383292923,1 +113051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.842764385,1 +113050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.769510477,1 +113053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.685092454,1 +113052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.039150422,1 +113054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.430564235,1 +113055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.218762399,1 +113058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.133578581,1 +113056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.236259598,1 +113059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.028503168,1 +113057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.483463339,1 +113060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.103993044,1 +113061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,7.059232929,1 +113062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,7.078171731,1 +113064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.944349516,1 +113065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.039145263,1 +113066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.089405051,1 +113067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.381399744,1 +113063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.398480008,1 +113069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.787952211,1 +113068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.702111888,1 +113070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.794875617,1 +113073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.543018894,1 +113072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.993231939,1 +113071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.578910852,1 +113076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.458045731,1 +113075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.530576827,1 +113074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.024355735,1 +113077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.876627729,1 +113078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.849722667,1 +113079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.728323951,1 +113080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.798945637,1 +113081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.016388541,1 +113082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.672823923,1 +113083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.026526599,1 +113084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.618794693,1 +113086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.08324653,1 +113087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.869506206,1 +113088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.473103437,1 +113089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.014044208,1 +113090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,7.059258929,1 +113085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.405565365,1 +113091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.498543155,1 +113092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.150964464,1 +113093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.844213994,1 +113094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.468541725,1 +113095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.609354303,1 +113096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.23706062,1 +113098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.852628106,1 +113097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.19957171,1 +113099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.797440401,1 +113100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.403027104,1 +113102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.409430075,1 +113101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.426699773,1 +113103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.866673671,1 +113107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.016481846,1 +113104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.074917945,1 +113106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.785450545,1 +113105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.008906961,1 +113108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.127432565,1 +113109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.438635552,1 +113110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.707717081,1 +113112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.999735639,1 +113111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.703815303,1 +113113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,8.747469109,1 +113114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.663838688,1 +113115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.279033463,1 +113116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.839330055,1 +113117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.696356206,1 +113118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.361163345,1 +113119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,8.398696602,1 +113120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.215119978,1 +113121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.093268827,1 +113122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.024122582,1 +113123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.807958927,1 +113124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.392980276,1 +113125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.466033625,1 +113126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.500886342,1 +113127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.121463357,1 +113129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.153991112,1 +113128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.164353639,1 +113130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.03135973,1 +113131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.762989863,1 +113132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.548896011,1 +113133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.651149982,1 +113134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.103883799,1 +113135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.800078869,1 +113136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.391033363,1 +113137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.16354769,1 +113138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.813159309,1 +113140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.579271272,1 +113142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.644706218,1 +113141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.457331677,1 +113139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.301316678,1 +113143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.120390879,1 +113144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.620977293,1 +113145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.811297557,1 +113146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.547257161,1 +113147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.798251218,1 +113148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.163044339,1 +113149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.790908922,1 +113150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,7.990319915,1 +113151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.029762563,1 +113152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.334834794,1 +113154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,7.441494185,1 +113153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.063194924,1 +113155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.040813051,1 +113156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.43812129,1 +113158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.557712517,1 +113159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.629259341,1 +113160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.050861336,1 +113157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.879340366,1 +113161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.331651055,1 +113162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.912812208,1 +113163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.675670555,1 +113164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.03208559,1 +113165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.361283849,1 +113166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.802018298,1 +113167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.989502395,1 +113168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.178598448,1 +113170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.538598566,1 +113169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.933685888,1 +113171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.446596132,1 +113173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.211851645,1 +113172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.126650938,1 +113174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.663092692,1 +113175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.969371103,1 +113176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.897273213,1 +113179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.869636477,1 +113178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.812284469,1 +113180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.923543911,1 +113177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,7.811152789,1 +113182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.643864213,1 +113181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.752659081,1 +113183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.191926458,1 +113185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.808219725,1 +113184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.966813488,1 +113186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.092660783,1 +113187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,7.100007578,1 +113188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.560440338,1 +113190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.116145692,1 +113189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.585936321,1 +113191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.775466433,1 +113192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.840761891,1 +113194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,1.637397575,1 +113193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.714343523,1 +113195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,1.199848577,1 +113196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.093815389,1 +113198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.827206326,1 +113197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.010615054,1 +113200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.226370054,1 +113199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.008014115,1 +113201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.668707366,1 +113202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.183544068,1 +113203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.660038876,1 +113204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.785493738,1 +113205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.358608903,1 +113206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.077457127,1 +113207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.996508699,1 +113208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.482744784,1 +113209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.067579057,1 +113210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.958288067,1 +113211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.271920256,1 +113212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.252782718,1 +113213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.509861061,1 +113215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.311616939,1 +113214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.107108664,1 +113216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.539423274,1 +113217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.294579462,1 +113218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.376354794,1 +113219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.451836645,1 +113220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.27521406,1 +113221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.353598416,1 +113222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.917436515,1 +113223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.070762186,1 +113224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,7.178686436,1 +113225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.386761662,1 +113226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.427512809,1 +113227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.143469983,1 +113229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.993462427,1 +113228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.705078721,1 +113230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.800411441,1 +113232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.826382471,1 +113233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.502841463,1 +113234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.434398474,1 +113235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.924746535,1 +113236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.937731622,1 +113231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.891135912,1 +113237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.692641029,1 +113238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,7.196345295,1 +113239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.51306805,1 +113241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,8.301400512,1 +113240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.133394636,1 +113242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.606264542,1 +113245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.561398001,1 +113243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.880066909,1 +113244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.921016891,1 +113246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.182295845,1 +113248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.225106674,1 +113249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.610352714,1 +113250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.309415319,1 +113251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.690240918,1 +113252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.479995454,1 +113253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.57351629,1 +113247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.33374212,1 +113254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.801240515,1 +113255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.225604854,1 +113256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.62029867,1 +113257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.663066205,1 +113259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.85639967,1 +113258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.091792559,1 +113260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.858399963,1 +113261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.144100882,1 +113262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.778011514,1 +113263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.704785223,1 +113264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.057060392,1 +113265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.499323661,1 +113266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.791850598,1 +113267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.01318595,1 +113268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.847688013,1 +113270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.88674177,1 +113271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.053607906,1 +113272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.759944518,1 +113269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.797659228,1 +113274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.496450763,1 +113273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.292135093,1 +113275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.763566048,1 +113277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.223346325,1 +113278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.508937819,1 +113276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.600041111,1 +113279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,1.871557753,1 +113280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.424965879,1 +113281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.115082611,1 +113282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.550466625,1 +113283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,7.723795402,1 +113285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.845264322,1 +113284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.984608193,1 +113287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.281592212,1 +113286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.188857972,1 +113288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,7.828907779,1 +113289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.779283042,1 +113290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.042733905,1 +113292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.43271052,1 +113291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.258277701,1 +113294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,7.829515377,1 +113295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.778854866,1 +113293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,7.361667914,1 +113296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.469735996,1 +113297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.736595328,1 +113298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.083230094,1 +113300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.641797569,1 +113301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.359720069,1 +113299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.46420584,1 +113302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,7.418846972,1 +113303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.35671353,1 +113304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.55546994,1 +113305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.500965282,1 +113306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.731470551,1 +113308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.342915061,1 +113309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.532441787,1 +113307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.781445067,1 +113310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.204967287,1 +113311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.153369205,1 +113313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,7.060604672,1 +113314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.852871805,1 +113315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.949394415,1 +113312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.422460058,1 +113316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.069888515,1 +113317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.559580043,1 +113318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.063697063,1 +113319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.932651802,1 +113321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.987221976,1 +113320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.152298687,1 +113322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.932081557,1 +113323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.72888731,1 +113324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.371026098,1 +113325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.570745332,1 +113326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.949147756,1 +113328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.786965163,1 +113327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.788544052,1 +113330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.209781123,1 +113329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.369936107,1 +113331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,7.408170118,1 +113333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.54947855,1 +113334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.249008038,1 +113332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.210317778,1 +113335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.341392165,1 +113338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.630567472,1 +113337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.851134602,1 +113336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.324558559,1 +113339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.879898681,1 +113340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.293533564,1 +113342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.044241843,1 +113341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.658932624,1 +113343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.811351906,1 +113344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.351073214,1 +113345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.843469167,1 +113347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.021163747,1 +113346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,7.018443589,1 +113349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.062527125,1 +113350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.370356137,1 +113351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.081964514,1 +113348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.678975613,1 +113355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.484968785,1 +113353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.390074514,1 +113352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.64755227,1 +113356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.111743105,1 +113357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.651251674,1 +113358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.335491369,1 +113354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.929831078,1 +113359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.933532281,1 +113360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.201376265,1 +113361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.537968739,1 +113364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.257492954,1 +113363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.845622274,1 +113365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.855973539,1 +113362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.031060136,1 +113367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.020154211,1 +113366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.80803602,1 +113369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.348654702,1 +113368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.46846064,1 +113370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.500031184,1 +113371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.855164587,1 +113373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.071264786,1 +113374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.779488942,1 +113375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.98798271,1 +113376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.208065556,1 +113372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.823709822,1 +113377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.387610283,1 +113378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,7.476394727,1 +113379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.627150389,1 +113380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.793317851,1 +113382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.325008062,1 +113381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.007072426,1 +113384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.193591543,1 +113383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.272864245,1 +113385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.572328416,1 +113388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.085937841,1 +113386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.404220877,1 +113387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.477506413,1 +113389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.328931776,1 +113391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.735375376,1 +113393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.383233195,1 +113390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.848106904,1 +113394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.17923342,1 +113396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.190047201,1 +113395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.027625173,1 +113392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.926992876,1 +113398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,7.506926821,1 +113400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.233873235,1 +113399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.624588757,1 +113397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.319621606,1 +113401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,7.712976672,1 +113402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.948834981,1 +113403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.187985901,1 +113404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.050292643,1 +113405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.889703639,1 +113406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.457011657,1 +113407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.742575756,1 +113408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.744501766,1 +113409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.610200774,1 +113412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.464374873,1 +113411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.180464736,1 +113410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.84442822,1 +113414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.229408216,1 +113413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.24554927,1 +113415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.979960787,1 +113416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.032650481,1 +113417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.752309966,1 +113418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.024769449,1 +113419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.2187605,1 +113420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.970228913,1 +113421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.971372192,1 +113422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.357518284,1 +113423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.431655721,1 +113425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.411061379,1 +113424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.459996611,1 +113427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,8.655595063,1 +113426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.533408288,1 +113431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.466478779,1 +113428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.028557838,1 +113429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.622499037,1 +113430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.671442719,1 +113432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.776386058,1 +113433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.54060137,1 +113435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.501363527,1 +113437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.749572652,1 +113436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.980257916,1 +113434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.75829642,1 +113438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.643734366,1 +113439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.929043938,1 +113441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.985294627,1 +113440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.916546666,1 +113442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.680304665,1 +113445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.82282214,1 +113444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.24142969,1 +113446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.109568294,1 +113443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.604263875,1 +113447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.266049068,1 +113449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.395636885,1 +113448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.066282496,1 +113450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.165924249,1 +113452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.597111336,1 +113454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.081028978,1 +113451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.56697224,1 +113453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.026837259,1 +113455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.466267464,1 +113456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.411917344,1 +113457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.540681731,1 +113458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.205063261,1 +113461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.870008252,1 +113459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.277415605,1 +113460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.037763604,1 +113464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.327799071,1 +113465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.395114505,1 +113462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.065421403,1 +113466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.632065685,1 +113467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.187678129,1 +113468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.135883029,1 +113463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.31427157,1 +113469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.307273419,1 +113470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.199463062,1 +113471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.862728929,1 +113472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.195661045,1 +113475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.005521811,1 +113473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.225973948,1 +113476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.365840065,1 +113474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.683997747,1 +113478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.489081348,1 +113479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.793755917,1 +113480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.345204059,1 +113477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.562133044,1 +113481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.362080359,1 +113483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.917501246,1 +113485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.973356944,1 +113484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.669696432,1 +113486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.878437804,1 +113482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.264007587,1 +113487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,7.479400101,1 +113488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.69680394,1 +113490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.147774749,1 +113489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.256860595,1 +113492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.904188202,1 +113493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.583667145,1 +113491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.109481852,1 +113494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.439118593,1 +113496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.433350539,1 +113497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.163198686,1 +113498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,7.523251254,1 +113500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.857836915,1 +113495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.072671588,1 +113501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.689066929,1 +113502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.124621315,1 +113499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.330334813,1 +113503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.354778472,1 +113504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.615636808,1 +113507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.409279741,1 +113506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.759967978,1 +113508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.881310709,1 +113505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.646854948,1 +113510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.35333165,1 +113509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.309986623,1 +113512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.853834862,1 +113511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.768702508,1 +113513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.75699238,1 +113515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.123196669,1 +113516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.09197359,1 +113514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.557432732,1 +113518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.520662365,1 +113519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.497292194,1 +113517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.348216947,1 +113520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.186599028,1 +113523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.36841645,1 +113521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.311647331,1 +113524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.084658594,1 +113522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.402339008,1 +113526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.958213686,1 +113525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.314751018,1 +113527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.604340846,1 +113528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.179649341,1 +113529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.811068772,1 +113530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.328170924,1 +113532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.489995399,1 +113533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.730109523,1 +113531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.738004182,1 +113535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.100967437,1 +113534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,7.830674112,1 +113537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.797557192,1 +113536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.782431155,1 +113539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.496094947,1 +113538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.941260622,1 +113541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.465407806,1 +113542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,7.323805516,1 +113540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.743079028,1 +113543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,8.047929322,1 +113545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.978808813,1 +113544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.53757837,1 +113547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.108568479,1 +113546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.729527709,1 +113549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.350071905,1 +113548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.257925554,1 +113550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.618055535,1 +113552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.657721375,1 +113553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.667458259,1 +113554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.339359711,1 +113551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.649259727,1 +113555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.43132114,1 +113556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.644951776,1 +113557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.098171716,1 +113558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.805876925,1 +113559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.843272306,1 +113560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.356621852,1 +113561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.575105113,1 +113562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.823407547,1 +113564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.748060479,1 +113563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.465082455,1 +113565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.354753283,1 +113568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.085056696,1 +113567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.906518992,1 +113566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.257271852,1 +113569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.332547282,1 +113570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.875094942,1 +113571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.969998113,1 +113572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.87981482,1 +113573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.538379381,1 +113574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.631951519,1 +113575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.772204979,1 +113577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.085330532,1 +113576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.564826151,1 +113578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.75545544,1 +113579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,7.032508189,1 +113580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.483271888,1 +113581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.607337986,1 +113582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.864235848,1 +113583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.13632917,1 +113584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.235755203,1 +113586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.317048409,1 +113585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.971852008,1 +113588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.319360235,1 +113587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.668726785,1 +113589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.592219258,1 +113590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.319252367,1 +113591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.392549116,1 +113592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.170403617,1 +113593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.142616835,1 +113594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.594099679,1 +113595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.236919382,1 +113596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.820923375,1 +113597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.358147262,1 +113598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.956000565,1 +113599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,7.109861592,1 +113600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.463158185,1 +113601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.230494214,1 +113602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.244015301,1 +113603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.664445188,1 +113605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.768662844,1 +113604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.295613986,1 +113606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.20396505,1 +113607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.834749297,1 +113609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.83875472,1 +113608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.725227048,1 +113610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.192056928,1 +113611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.634720635,1 +113612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.652352625,1 +113613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.076624566,1 +113614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.421561455,1 +113615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.429985921,1 +113616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.618668126,1 +113617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.732338983,1 +113618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,7.225713261,1 +113619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.099982823,1 +113620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,7.191397551,1 +113621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.764033518,1 +113623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.572081913,1 +113622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.6194103,1 +113625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.038308625,1 +113624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.917662458,1 +113626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.853320327,1 +113629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.643640009,1 +113627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.88898253,1 +113628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.245465038,1 +113631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.560063679,1 +113632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.575506989,1 +113633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.140393417,1 +113630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.804986018,1 +113634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.853825415,1 +113635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.020830105,1 +113636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.786297302,1 +113638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.94145432,1 +113639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.64405999,1 +113637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.717226111,1 +113640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.997207531,1 +113641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.239550749,1 +113643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.173516099,1 +113642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.024255959,1 +113645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.001086886,1 +113646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.463551201,1 +113644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.123999384,1 +113647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.674750771,1 +113648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.036937957,1 +113650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.133861764,1 +113651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.385309028,1 +113652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.688306232,1 +113653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.03290255,1 +113649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.510503875,1 +113655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.199364787,1 +113654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.107964761,1 +113656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.456660404,1 +113657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.140465934,1 +113658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.146110128,1 +113659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.435192087,1 +113661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.320741698,1 +113662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.461788748,1 +113660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.103389469,1 +113663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.615486149,1 +113664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.319827853,1 +113665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.450931671,1 +113667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.212177017,1 +113666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.887789125,1 +113669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.397262542,1 +113671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.741657128,1 +113670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.03265226,1 +113668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.113940912,1 +113673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.059965424,1 +113672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.816553514,1 +113675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,8.08849582,1 +113676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.603556289,1 +113677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.526751168,1 +113674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.537011759,1 +113678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.553587937,1 +113680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.801617534,1 +113681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.514929051,1 +113682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.034762644,1 +113683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.288758466,1 +113684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.795990011,1 +113679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.386496413,1 +113687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.355461932,1 +113688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.13477709,1 +113685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.441857324,1 +113686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.871011806,1 +113690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.411514669,1 +113691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.364523549,1 +113689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.573663634,1 +113692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.949716743,1 +113694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.425571965,1 +113693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.048760656,1 +113696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.074337157,1 +113695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.237663882,1 +113697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.872985016,1 +113699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.513563077,1 +113700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.54172992,1 +113698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.8835975,1 +113702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.87280012,1 +113701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.134337254,1 +113703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.972900344,1 +113704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.117176346,1 +113706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.276836114,1 +113707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.710053708,1 +113705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.388232588,1 +113708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.524075562,1 +113709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.291984212,1 +113710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.973882946,1 +113711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.124228314,1 +113712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.76430411,1 +113713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.801591672,1 +113714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.834249785,1 +113715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.34455712,1 +113718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.644862362,1 +113716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.056709706,1 +113719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.123705146,1 +113717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.284240168,1 +113721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.381691394,1 +113720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.319763181,1 +113723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,1.340802865,1 +113722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.518217273,1 +113724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,7.03632401,1 +113725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.536226435,1 +113726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.790012629,1 +113727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.094923136,1 +113728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.425944438,1 +113729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.997060053,1 +113730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.021632794,1 +113733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.318431308,1 +113731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.318628996,1 +113732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.419223835,1 +113736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.585791268,1 +113734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.057965905,1 +113735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.288201009,1 +113737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,7.546241336,1 +113739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.644891386,1 +113738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.986397639,1 +113740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.09812551,1 +113741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.349342921,1 +113742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.900777205,1 +113744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.786407011,1 +113743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.709128642,1 +113745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.129807083,1 +113746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.545315162,1 +113748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.478426714,1 +113750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.301564754,1 +113747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.795457725,1 +113749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.028773937,1 +113751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.915215602,1 +113753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.11653134,1 +113752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.97972181,1 +113754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.540150801,1 +113756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.093238042,1 +113757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,7.261383852,1 +113758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.35610924,1 +113759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.063109002,1 +113760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.296904777,1 +113755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.954133323,1 +113761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.47085681,1 +113762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.144377134,1 +113763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.150784583,1 +113765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.044041779,1 +113764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.802831466,1 +113766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.874813647,1 +113769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.319941729,1 +113767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.520914466,1 +113768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.331458073,1 +113770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.985969263,1 +113771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.910187012,1 +113772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.629266939,1 +113773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.37375544,1 +113774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.323980521,1 +113776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.985866697,1 +113777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.357194225,1 +113778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,8.503184621,1 +113779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.832591851,1 +113780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.449595477,1 +113775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,7.170060448,1 +113781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.479937621,1 +113782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.67484745,1 +113784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.650891405,1 +113783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.685807247,1 +113785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.973693106,1 +113786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.442614632,1 +113787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,8.731960411,1 +113788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.779694389,1 +113789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.612407112,1 +113790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.127781468,1 +113791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.384552112,1 +113792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.112023988,1 +113793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.027955175,1 +113794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.786668819,1 +113796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.489095851,1 +113795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.13205317,1 +113797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.83344269,1 +113798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.799405624,1 +113799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.421288185,1 +113800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.641604982,1 +113801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.819005374,1 +113802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.02912128,1 +113803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,7.979775668,1 +113804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.760767074,1 +113807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.29370166,1 +113806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.611929882,1 +113805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,7.231683764,1 +113808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.552035916,1 +113810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.29695565,1 +113809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.074126878,1 +113811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.933793174,1 +113812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.100992862,1 +113813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.722504094,1 +113814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.323786869,1 +113816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.395641128,1 +113817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.607930669,1 +113818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.209569069,1 +113819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.883816967,1 +113820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.985767825,1 +113821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.145359704,1 +113815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.823510644,1 +113822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.295436149,1 +113824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,7.493082435,1 +113823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.399470972,1 +113825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.493458942,1 +113826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.359006823,1 +113827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.780518652,1 +113828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.169704694,1 +113829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.8690517,1 +113830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.322341197,1 +113831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.66643959,1 +113832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.545622179,1 +113834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.32379877,1 +113833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.441742044,1 +113835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.299672994,1 +113836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.1076759,1 +113837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.432857016,1 +113839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.90172882,1 +113841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.661246204,1 +113840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.35695544,1 +113838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.66829376,1 +113843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.881638854,1 +113842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.358024857,1 +113844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.649358235,1 +113845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.384460688,1 +113846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.320315597,1 +113847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.788409158,1 +113848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.096851159,1 +113849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.380896293,1 +113850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.670272482,1 +113851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.427067265,1 +113852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.617963739,1 +113854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.647940675,1 +113855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.741283481,1 +113856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.133221119,1 +113853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.103134913,1 +113857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.27862463,1 +113859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.699390177,1 +113858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.906469269,1 +113861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.640946364,1 +113860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.549898072,1 +113862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.677676423,1 +113863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.766307956,1 +113864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,7.810321955,1 +113865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.082018503,1 +113866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.314743473,1 +113868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.040818769,1 +113867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.862303068,1 +113869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.887357197,1 +113872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.298003583,1 +113870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.725428583,1 +113871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.292014151,1 +113873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.370642676,1 +113875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.45930045,1 +113874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.395031948,1 +113876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.132015835,1 +113878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.727819505,1 +113879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.941523514,1 +113877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.914573262,1 +113880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.475481855,1 +113881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.235889237,1 +113882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.422691338,1 +113884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.952280301,1 +113883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.688815057,1 +113885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.844183621,1 +113886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.331822624,1 +113887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.806853565,1 +113888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.055961847,1 +113889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.60085111,1 +113890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.530914314,1 +113891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.080122541,1 +113893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.626569079,1 +113894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.573964042,1 +113895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.558767808,1 +113892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.672094084,1 +113896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.777979036,1 +113897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.66888381,1 +113898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.708149142,1 +113900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.305059205,1 +113901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.672550958,1 +113902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.833543704,1 +113899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.77929773,1 +113903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.43583403,1 +113904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.860856406,1 +113905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.024244318,1 +113906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.620915673,1 +113908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.049436871,1 +113909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.439536864,1 +113907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.85051078,1 +113911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.805369995,1 +113910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.67811882,1 +113912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.012166343,1 +113913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.406867955,1 +113914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.443227913,1 +113916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.529403206,1 +113917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.789295857,1 +113918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.516606197,1 +113920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.756453228,1 +113915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.501488598,1 +113919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.978713181,1 +113921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.555343244,1 +113923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.689476798,1 +113922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,7.521186648,1 +113924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.534610122,1 +113925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.926125332,1 +113926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.778067553,1 +113927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.238439727,1 +113928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.905298924,1 +113929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.319447963,1 +113930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.696332318,1 +113931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.73853057,1 +113932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.644860423,1 +113933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.09775813,1 +113935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.954745487,1 +113936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.663520852,1 +113937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.565778258,1 +113934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.894794135,1 +113938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.606285426,1 +113939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.361039763,1 +113940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.08195805,1 +113941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.115101246,1 +113942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.497858881,1 +113943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.360843785,1 +113944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.573124004,1 +113945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.352889555,1 +113946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.621670755,1 +113947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.146913088,1 +113948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.6591878,1 +113950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.029754164,1 +113949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.530624125,1 +113951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.933619273,1 +113952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.761881635,1 +113953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.715165367,1 +113955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.47155811,1 +113956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.048567192,1 +113954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,8.0844983,1 +113957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.1111973,1 +113958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.466802642,1 +113959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.944391945,1 +113961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.302944953,1 +113962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.361086254,1 +113960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.263191265,1 +113963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.30839863,1 +113964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.785018739,1 +113965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.278607149,1 +113966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.149200241,1 +113969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.505553548,1 +113967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.994889155,1 +113968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.427663705,1 +113971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.247452443,1 +113972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.608865141,1 +113973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.143929106,1 +113974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.397986686,1 +113970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.55684967,1 +113975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.70263724,1 +113976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.619235726,1 +113977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.932597583,1 +113979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.583737841,1 +113980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.18115796,1 +113978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.185526388,1 +113983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.868848719,1 +113982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,7.628325244,1 +113981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.367283095,1 +113984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.067827999,1 +113987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.218235688,1 +113986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.288727305,1 +113985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.60027907,1 +113988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.208720231,1 +113990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.140599172,1 +113989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.358640864,1 +113991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.860762616,1 +113993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.762160303,1 +113994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.897079127,1 +113995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.495458709,1 +113992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,3.411473651,1 +113996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,5.669402339,1 +113997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,6.257234386,1 +113998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.420840513,1 +113999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,2.904199664,1 +114000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,4,1,4.727994535,1 +123002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.430131546,1 +123003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.781206427,1 +123001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.757970692,1 +123004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.122498942,1 +123006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.432931585,1 +123005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.191139606,1 +123008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.470388733,1 +123007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.406546092,1 +123009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.524875041,1 +123010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,1.916093859,1 +123011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.795651728,1 +123012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.104854401,1 +123013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.118444178,1 +123014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.694203736,1 +123015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.217501402,1 +123016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.308461035,1 +123018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.271088037,1 +123017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.383536087,1 +123019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.430331254,1 +123021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.771458784,1 +123022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.00656882,1 +123020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.411921979,1 +123023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.668570623,1 +123024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.603247252,1 +123025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.123671759,1 +123026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.533926587,1 +123027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.439952278,1 +123028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.290588318,1 +123029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,7.099504508,1 +123030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.314284883,1 +123032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.963627823,1 +123033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.523451274,1 +123031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.574446068,1 +123035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.540397966,1 +123036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.106610909,1 +123038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,8.062948738,1 +123037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.492841833,1 +123039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.866369607,1 +123034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.137033478,1 +123040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.312768891,1 +123042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.860521701,1 +123043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.21046953,1 +123041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.335746452,1 +123046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.645168567,1 +123045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.633848972,1 +123044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.416044229,1 +123047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.929043823,1 +123048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.253301174,1 +123049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.631335513,1 +123050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.341630878,1 +123051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,7.225246209,1 +123053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.674252075,1 +123055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.125530635,1 +123054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.013025596,1 +123056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.39366381,1 +123057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.980065533,1 +123052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.146041654,1 +123058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.598014152,1 +123060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.732082993,1 +123061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.403714288,1 +123062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.545992786,1 +123059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.926605586,1 +123065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.555858603,1 +123063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,1.801964873,1 +123064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.752612851,1 +123066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.828624723,1 +123068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.512764628,1 +123070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.621440155,1 +123069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.524601191,1 +123071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.091677798,1 +123067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.369552949,1 +123072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.033919949,1 +123074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.857928447,1 +123075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.52612972,1 +123073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.412738546,1 +123078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.83503104,1 +123076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.955802249,1 +123077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.350361834,1 +123079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.470642082,1 +123080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.561779974,1 +123081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.589465195,1 +123083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.296395417,1 +123082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.422152498,1 +123085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.85734139,1 +123086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.801153993,1 +123087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.726126842,1 +123084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.601306145,1 +123088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,7.213001068,1 +123090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.694089309,1 +123091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.277658076,1 +123094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.064552379,1 +123092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.38591812,1 +123093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.005638479,1 +123089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.600024098,1 +123095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.293591568,1 +123096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.438429047,1 +123097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.224533788,1 +123098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.729944699,1 +123099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.66649654,1 +123100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.345249048,1 +123101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.844476978,1 +123102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.733962843,1 +123104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.027859531,1 +123105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.784766479,1 +123103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.904358868,1 +123108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.343085868,1 +123107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.818660244,1 +123106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.151603114,1 +123109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.416974625,1 +123110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.162509489,1 +123111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.738518471,1 +123112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.357227661,1 +123113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.070757332,1 +123114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.839113877,1 +123115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.626200195,1 +123117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.041884173,1 +123116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,7.368436577,1 +123118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.856589134,1 +123119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.342204244,1 +123121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.411829058,1 +123122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.966040135,1 +123120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.657680429,1 +123123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.913808146,1 +123126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.751732306,1 +123124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.427008198,1 +123125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.394334418,1 +123127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.404305366,1 +123128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.669419179,1 +123130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.000610861,1 +123129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.429603492,1 +123131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.576709261,1 +123132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.152296238,1 +123133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.976427374,1 +123135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.598091178,1 +123134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.961707024,1 +123137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.079008196,1 +123138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.462932207,1 +123136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.715759422,1 +123140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.278619781,1 +123141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.392442361,1 +123142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.427267704,1 +123139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.189411271,1 +123143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.575113039,1 +123144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.29375641,1 +123145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.02881659,1 +123146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.292058327,1 +123148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.03566988,1 +123147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.019633047,1 +123149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.816256067,1 +123150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.12517012,1 +123152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.749774862,1 +123151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.105710034,1 +123153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.723543587,1 +123154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.272021149,1 +123156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.202468367,1 +123155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.761888451,1 +123157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.542670255,1 +123159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.658192861,1 +123160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.348984458,1 +123161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.515673968,1 +123162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.200728509,1 +123158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.281811665,1 +123163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.523295636,1 +123164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.281157779,1 +123165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.548153166,1 +123167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.786441997,1 +123166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.303164756,1 +123168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.861972665,1 +123171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.332520505,1 +123169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.474054858,1 +123170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.552722395,1 +123172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.308647274,1 +123173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.4168818,1 +123174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.257987221,1 +123175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.274051726,1 +123176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.718919563,1 +123178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.832599408,1 +123179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.422256912,1 +123180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.347556166,1 +123181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.839171766,1 +123182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.725910133,1 +123183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.035993462,1 +123177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.127586725,1 +123184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.541221405,1 +123185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.988013894,1 +123187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.234501106,1 +123186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.784587302,1 +123189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.932128351,1 +123188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.539662632,1 +123191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.298134765,1 +123190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.652335222,1 +123194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.932475272,1 +123192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.95298946,1 +123193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.730554546,1 +123195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.523181665,1 +123196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.045544523,1 +123197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.097153419,1 +123198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.546315643,1 +123201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.442217607,1 +123200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,1.251165162,1 +123199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.182754787,1 +123202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,7.055527779,1 +123204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.331990551,1 +123203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.030770958,1 +123206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.831777033,1 +123205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.92576597,1 +123207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.300884143,1 +123208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.513504004,1 +123209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.152244544,1 +123210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.388540658,1 +123211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.959128833,1 +123212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.381900519,1 +123213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.798926616,1 +123214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,7.192611043,1 +123216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.250886496,1 +123215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.766063611,1 +123217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.091735985,1 +123219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.670097006,1 +123220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.915698,1 +123218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.982852963,1 +123221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.474191498,1 +123222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.630933471,1 +123225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.882243068,1 +123223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,7.486554763,1 +123224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.544542137,1 +123226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,1.970875511,1 +123227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.674794463,1 +123228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.789748605,1 +123229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.330845651,1 +123232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.837175239,1 +123231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.182227925,1 +123230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.829115581,1 +123234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.038085402,1 +123235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.247387328,1 +123236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,8.566750319,1 +123233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.429314438,1 +123238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.478114949,1 +123237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.563867372,1 +123239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.172037899,1 +123240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.51353966,1 +123241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.352157849,1 +123243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,7.110211772,1 +123242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.575856119,1 +123244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.593882065,1 +123247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.849791633,1 +123245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.634156093,1 +123246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.559896278,1 +123248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.003608854,1 +123249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.833563573,1 +123250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.353680796,1 +123251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.979343478,1 +123253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.78371321,1 +123254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.665947274,1 +123255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.395595722,1 +123252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.041463433,1 +123256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.710288703,1 +123257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.027880929,1 +123258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.415439742,1 +123260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.888353599,1 +123259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.598419515,1 +123261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.732385587,1 +123262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.035134803,1 +123263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.5880229,1 +123264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.568775219,1 +123265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.627709564,1 +123266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.615521828,1 +123267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.182314924,1 +123268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.396004538,1 +123269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.745809615,1 +123270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.755530431,1 +123271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.638212433,1 +123274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.777665022,1 +123273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.254502546,1 +123275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.074096106,1 +123276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.738981028,1 +123277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.101060559,1 +123272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.747164417,1 +123278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.609926803,1 +123279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.995390483,1 +123280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.421324251,1 +123281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.751172447,1 +123282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.178651477,1 +123283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.507346374,1 +123285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.738538924,1 +123284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.755245722,1 +123286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.427948919,1 +123287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.80242769,1 +123288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.084190654,1 +123289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.103233168,1 +123291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.368336375,1 +123293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.799910882,1 +123290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.185195597,1 +123294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.921742964,1 +123292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.953185395,1 +123295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.353428359,1 +123297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.310667721,1 +123298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.030338162,1 +123296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.270309412,1 +123299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.071681358,1 +123300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.676829386,1 +123301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.293418767,1 +123302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.870773926,1 +123303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.245279706,1 +123304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.340204813,1 +123305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.030441105,1 +123306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.665543255,1 +123308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.05310326,1 +123307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.493469217,1 +123309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,8.475740596,1 +123311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.599901321,1 +123312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.587331581,1 +123313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.712587631,1 +123310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.713168605,1 +123314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.702983357,1 +123315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.462299956,1 +123316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,1.978803011,1 +123318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.825797758,1 +123319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.533897963,1 +123317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.636261978,1 +123320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.742633075,1 +123321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.58654073,1 +123323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.621246987,1 +123324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.629121993,1 +123322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.899550174,1 +123325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.584504862,1 +123326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.386917557,1 +123327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.818499926,1 +123328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.099023942,1 +123329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.234835541,1 +123330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.943611702,1 +123332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.988038246,1 +123333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.069206072,1 +123334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.70772778,1 +123335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.646741673,1 +123331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.511036711,1 +123336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.19135763,1 +123337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.706469219,1 +123339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.307212088,1 +123338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.677681946,1 +123340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.368741576,1 +123341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.871252529,1 +123343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.884315954,1 +123342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.214290897,1 +123344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.458500246,1 +123346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.641154652,1 +123345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.497955671,1 +123348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.572194542,1 +123349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.425809505,1 +123350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.059112132,1 +123351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.724052967,1 +123352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.467431604,1 +123347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.547360467,1 +123353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.089738998,1 +123354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.843213089,1 +123356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.057789179,1 +123357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.303615737,1 +123355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.738303504,1 +123358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.676603727,1 +123359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.462916113,1 +123360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.558656443,1 +123361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.9349891,1 +123362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.061159945,1 +123363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.578672252,1 +123365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.140278446,1 +123364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.16756321,1 +123366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.781656922,1 +123369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.041701141,1 +123368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.16927304,1 +123370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.776066072,1 +123367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.930363091,1 +123372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.293663534,1 +123373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.717583964,1 +123374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.463732159,1 +123375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.570470907,1 +123376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.061300595,1 +123371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.615996333,1 +123377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.599962211,1 +123378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.567334707,1 +123379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.143884766,1 +123380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.283921616,1 +123383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.847425682,1 +123382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.688482698,1 +123381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.427724541,1 +123384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.816678383,1 +123388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.801114465,1 +123386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.152826772,1 +123387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.369928819,1 +123385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.244262652,1 +123390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.817886183,1 +123392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.808817173,1 +123391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.438616985,1 +123393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.724950202,1 +123394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.921434157,1 +123395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.593807888,1 +123389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.838392987,1 +123396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.574474278,1 +123397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.852973836,1 +123399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.584340992,1 +123401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.08190633,1 +123400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.735125345,1 +123398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.207281646,1 +123402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.254751027,1 +123403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.129928018,1 +123404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.776869872,1 +123405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.749775275,1 +123406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.132415297,1 +123408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.070720038,1 +123407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.311573095,1 +123409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.718525396,1 +123411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.716830636,1 +123412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.332161302,1 +123410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.661152836,1 +123413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.67911849,1 +123416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.699123704,1 +123415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.732123958,1 +123414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.399965732,1 +123419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.589021155,1 +123418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.126578368,1 +123420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.826281285,1 +123417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,7.28135804,1 +123422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.252516481,1 +123421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.307496105,1 +123423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.10432184,1 +123426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.48371243,1 +123424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.854720736,1 +123427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.087296806,1 +123425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.111737009,1 +123428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.857741638,1 +123429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.122897865,1 +123431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.762504891,1 +123432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.101372621,1 +123430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.266222152,1 +123433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.265220691,1 +123434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.941307914,1 +123435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.92780832,1 +123436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.622615892,1 +123438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.412389076,1 +123439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,7.369045676,1 +123440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.081241252,1 +123437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.804304152,1 +123443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.679261999,1 +123442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.590360043,1 +123441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.408754857,1 +123444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.482832213,1 +123445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,1.955924212,1 +123446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.32494322,1 +123447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.059023364,1 +123448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.803391377,1 +123449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.000295223,1 +123450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.941463924,1 +123451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.484253002,1 +123453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.925377817,1 +123454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.646845592,1 +123455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.771531664,1 +123452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.823660606,1 +123456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.700034943,1 +123457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.747772939,1 +123458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.701900124,1 +123459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.920588469,1 +123460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.468295353,1 +123461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,1.826102924,1 +123462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.229132244,1 +123463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.173802936,1 +123464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.182339883,1 +123465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.444321644,1 +123466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.611281631,1 +123467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.462328542,1 +123469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.857870007,1 +123470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.235025877,1 +123468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.626709724,1 +123471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.839054991,1 +123472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.19030726,1 +123473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.681519934,1 +123474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.473398309,1 +123475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.035603341,1 +123476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.91659791,1 +123477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.407461642,1 +123478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.771365772,1 +123479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.657514861,1 +123480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.644679173,1 +123481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.997980106,1 +123483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.072482087,1 +123484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.307382168,1 +123482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.614116207,1 +123485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.543085677,1 +123486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.704706067,1 +123487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.993993542,1 +123489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.955690818,1 +123488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.874650971,1 +123490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.959238803,1 +123491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.221829475,1 +123492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.865286377,1 +123493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.496000264,1 +123494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.582489031,1 +123495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.539849967,1 +123496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.576181305,1 +123498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,7.256205964,1 +123499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.367492687,1 +123497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.345112896,1 +123500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.398589058,1 +123501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.280210267,1 +123502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.603519318,1 +123503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.082866731,1 +123505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.702544391,1 +123504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.581498345,1 +123506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.809297162,1 +123507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.902094769,1 +123508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.651347789,1 +123509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.561403566,1 +123510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.399523603,1 +123512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.544292801,1 +123511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.718258306,1 +123513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.749315887,1 +123514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.121346976,1 +123515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.111749352,1 +123516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.471396402,1 +123518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.551069567,1 +123517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,7.406477138,1 +123520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.142374385,1 +123519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.229215295,1 +123522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.114374485,1 +123521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,7.182097847,1 +123524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.126823466,1 +123525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,7.767307093,1 +123526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.04922227,1 +123527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.650358756,1 +123528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.621796573,1 +123529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.861829524,1 +123523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.25150298,1 +123530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.424429643,1 +123532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.06021288,1 +123531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.898676633,1 +123533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.514137942,1 +123534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.916196789,1 +123535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.264521122,1 +123537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.532992819,1 +123536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.715980447,1 +123538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.103109983,1 +123539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.999334143,1 +123541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.724964178,1 +123542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.669549957,1 +123543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.152842035,1 +123544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.118739036,1 +123545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.719541072,1 +123540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.864250148,1 +123546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.209205153,1 +123547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.388582315,1 +123549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.077557404,1 +123548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.508597995,1 +123550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.821624583,1 +123551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.625926057,1 +123552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.588951512,1 +123553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.82765111,1 +123554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.731286603,1 +123555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.214298266,1 +123556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.076265681,1 +123557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.21901193,1 +123558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.284965315,1 +123559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,7.420935854,1 +123561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.335661767,1 +123562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.750840584,1 +123563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.459923384,1 +123560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.559194488,1 +123564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.015567656,1 +123565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.002003342,1 +123567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,1.331738878,1 +123566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.164782396,1 +123568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.650803543,1 +123569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.889244622,1 +123571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.434494558,1 +123572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.676096072,1 +123570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.227519153,1 +123573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.926955344,1 +123574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.691502319,1 +123575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.305502266,1 +123577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.111101749,1 +123578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.437135922,1 +123576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.534043248,1 +123579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.544114973,1 +123580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.4766432,1 +123581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.671720016,1 +123583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.779859154,1 +123582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.258253693,1 +123584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.194836961,1 +123585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.518570349,1 +123586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.560165338,1 +123588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.339750623,1 +123589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.976705362,1 +123587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.65282991,1 +123590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.180600469,1 +123591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.894860789,1 +123592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.348059554,1 +123593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.342652825,1 +123594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,7.300267283,1 +123595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.567143419,1 +123596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.946704648,1 +123598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.104156447,1 +123597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.050628716,1 +123599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.263714002,1 +123600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.719830324,1 +123601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.247897456,1 +123603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.133915257,1 +123602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.74873931,1 +123604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.889940565,1 +123605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.512714254,1 +123606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.280145459,1 +123607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.766605872,1 +123608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,7.385688564,1 +123610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.516745187,1 +123609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.817127783,1 +123611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.732751458,1 +123612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.957147476,1 +123614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,1.968578403,1 +123613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.023991632,1 +123616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.208116164,1 +123617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.857141273,1 +123618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.104546197,1 +123615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.230540201,1 +123619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.678929482,1 +123620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.763698956,1 +123621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.702378231,1 +123622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.408658491,1 +123624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.47315467,1 +123623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.131536813,1 +123625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.658254376,1 +123626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.239071918,1 +123628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.441501617,1 +123630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.012554396,1 +123627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.217944046,1 +123629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.663913315,1 +123631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.644324775,1 +123633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.963848956,1 +123634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.635544705,1 +123635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.133395798,1 +123636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.390448309,1 +123637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.847711444,1 +123632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.452248341,1 +123638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.027735775,1 +123639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.139190478,1 +123641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.115549249,1 +123640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.2764522,1 +123642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.309514106,1 +123643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.112644155,1 +123644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.361299557,1 +123646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.333819889,1 +123645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,7.657453635,1 +123647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.465127441,1 +123648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.509405255,1 +123649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.82529503,1 +123650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.561587824,1 +123651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.705565703,1 +123653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.800808993,1 +123655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.426409268,1 +123654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.105182259,1 +123652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.381717822,1 +123658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.836517763,1 +123656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.123371738,1 +123657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.465104855,1 +123660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.362982004,1 +123659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.335309072,1 +123661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.41997818,1 +123662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.326560324,1 +123664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.580431367,1 +123665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.322779722,1 +123666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.434170479,1 +123663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.098884829,1 +123667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.964041875,1 +123668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.970431456,1 +123669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.701545769,1 +123670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.991875437,1 +123674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.07564848,1 +123672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.717268123,1 +123671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.856794803,1 +123673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.582775575,1 +123675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.02102052,1 +123676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.940372055,1 +123678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.991390678,1 +123677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.534595482,1 +123681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.384469855,1 +123680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.709295472,1 +123682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.262094942,1 +123679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.746989144,1 +123683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.662605242,1 +123684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.045285534,1 +123686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.331563332,1 +123685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.2224696,1 +123688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.823609793,1 +123689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.563803094,1 +123687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.126678912,1 +123690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.562957625,1 +123691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.393602232,1 +123692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,7.20607099,1 +123693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.742571224,1 +123694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,7.149711169,1 +123696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.784072299,1 +123697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.196226275,1 +123698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.644076674,1 +123699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.021038974,1 +123695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.175373394,1 +123700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.700845693,1 +123702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.16451542,1 +123703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.465693785,1 +123704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.829700543,1 +123705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.863005021,1 +123706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.214861034,1 +123701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.776127731,1 +123707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.884464051,1 +123708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.916620586,1 +123709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.571332222,1 +123710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.583025421,1 +123711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.1963305,1 +123712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.569644698,1 +123713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.285373095,1 +123715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.919061378,1 +123714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.941582057,1 +123716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.616158236,1 +123718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.401282201,1 +123717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.644447419,1 +123719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.408989865,1 +123720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.572686297,1 +123722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.585258189,1 +123723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.409356938,1 +123724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.484803141,1 +123725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.725910581,1 +123726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.878030697,1 +123721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.87385112,1 +123727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,7.903408989,1 +123729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.333491648,1 +123728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.641749216,1 +123731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.415321971,1 +123730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.730742886,1 +123733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.553825901,1 +123735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.041146793,1 +123734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.178999663,1 +123732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.116666262,1 +123736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.136297715,1 +123737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.054262729,1 +123738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.587000436,1 +123739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.577201185,1 +123740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.642721557,1 +123743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.973400493,1 +123742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.439204892,1 +123744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.660102189,1 +123746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.001054628,1 +123745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.487519421,1 +123741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.973877025,1 +123747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.280853033,1 +123750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.939682901,1 +123748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.596159889,1 +123749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.123340332,1 +123752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.887276353,1 +123751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.627681378,1 +123753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,7.39550194,1 +123754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.649415262,1 +123756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.502525021,1 +123757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.002253439,1 +123758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.554305676,1 +123759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.697000366,1 +123760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.314315626,1 +123761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.091585509,1 +123755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.565748083,1 +123762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.394536663,1 +123765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.931197446,1 +123764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.673504599,1 +123763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.734697015,1 +123766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.456143701,1 +123767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.54710901,1 +123768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.621130549,1 +123770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.681233276,1 +123769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.097246385,1 +123772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.215989539,1 +123771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.636844099,1 +123773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.226197576,1 +123774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.161429761,1 +123775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,8.242847136,1 +123777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.988499339,1 +123778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,7.109911493,1 +123776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.607839923,1 +123779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.40992973,1 +123780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.847676705,1 +123781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.325861802,1 +123782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.57112146,1 +123783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.058444411,1 +123784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.502282432,1 +123785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.67617469,1 +123786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.553704155,1 +123787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.568692658,1 +123788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.848422238,1 +123789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.73813973,1 +123791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.859713927,1 +123790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.362502435,1 +123792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.233440049,1 +123793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.642035726,1 +123795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.943654299,1 +123794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.726303746,1 +123796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,1.861518049,1 +123797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.615248132,1 +123799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.665252238,1 +123801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.481391269,1 +123798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.313464563,1 +123800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.426919613,1 +123802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.414761031,1 +123803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.023053418,1 +123805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.975530697,1 +123804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.460575153,1 +123806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.670539289,1 +123808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.039903405,1 +123807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.590478773,1 +123810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.796899355,1 +123809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.414065285,1 +123811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.040941207,1 +123812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.897403018,1 +123813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.991396936,1 +123815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.278571885,1 +123816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.39976121,1 +123817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.787917387,1 +123818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.647932583,1 +123819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.14227141,1 +123814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.00382408,1 +123820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.17779654,1 +123821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.042464302,1 +123822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.2645536,1 +123823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.745285128,1 +123825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.732320456,1 +123824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.385374512,1 +123826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.406100998,1 +123828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.512722688,1 +123827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.672363159,1 +123829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.880861201,1 +123830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.527108531,1 +123831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.999780298,1 +123833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.175576067,1 +123834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.727962068,1 +123835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.095464154,1 +123836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.471421312,1 +123837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.846725554,1 +123832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.732948491,1 +123838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.622008633,1 +123839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.638784473,1 +123840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.335999851,1 +123842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.496680227,1 +123841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.566679867,1 +123843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.269575438,1 +123844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.269059741,1 +123845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.031997178,1 +123847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.863049932,1 +123846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.475636897,1 +123848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.580789059,1 +123849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.381952494,1 +123851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.696793286,1 +123850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.307936361,1 +123852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.498683228,1 +123853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.595026396,1 +123854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.209467502,1 +123856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.27095332,1 +123858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.366965018,1 +123857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.435197571,1 +123855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.278209745,1 +123859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.301451161,1 +123860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,7.039927954,1 +123861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.189952096,1 +123862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.671685277,1 +123864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.399699965,1 +123865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.393376592,1 +123863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.006710398,1 +123866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.172035479,1 +123867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.562423689,1 +123868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,7.176644676,1 +123869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.257218634,1 +123870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.005877547,1 +123871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,1.991566375,1 +123872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.667616096,1 +123873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.45484062,1 +123874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.849337583,1 +123875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.090597591,1 +123876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.124496235,1 +123878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.106818292,1 +123879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.360907573,1 +123880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.299938825,1 +123877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.050049941,1 +123881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.171021149,1 +123882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.34622232,1 +123883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.050578768,1 +123884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.316144702,1 +123885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.212199718,1 +123888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.251768652,1 +123886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.877571517,1 +123889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.384983947,1 +123887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.383012087,1 +123890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.178948775,1 +123891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.557490452,1 +123893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.509342816,1 +123892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.389417398,1 +123895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.622604737,1 +123896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.128936464,1 +123897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.623486779,1 +123898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.719377527,1 +123894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.754271545,1 +123899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.236808975,1 +123901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.310762539,1 +123900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.800243726,1 +123902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.633156082,1 +123903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.852872006,1 +123904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.470470396,1 +123905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.797573077,1 +123906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.719236643,1 +123907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.030917527,1 +123908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.240413967,1 +123909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.032292316,1 +123911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.357302063,1 +123912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.12702468,1 +123913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.48849525,1 +123910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.927544336,1 +123914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.362355418,1 +123915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.057208079,1 +123917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.759279954,1 +123918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.021188951,1 +123916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.27180332,1 +123919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.013943851,1 +123920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.121634018,1 +123921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.235492613,1 +123923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.737900392,1 +123922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.176309944,1 +123924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.210051455,1 +123925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,7.031942906,1 +123926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.857287028,1 +123927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.611107038,1 +123929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.554509209,1 +123930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.19232446,1 +123928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.302059135,1 +123931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.584159749,1 +123934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.900346066,1 +123932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.958498982,1 +123935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.196616198,1 +123936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.436925658,1 +123933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,2.13962227,1 +123937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.031326421,1 +123938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,7.287829583,1 +123940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.024063707,1 +123939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.915248747,1 +123941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.092716626,1 +123943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.270931759,1 +123944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.819956284,1 +123942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.09514684,1 +123945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.887966738,1 +123947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.40082055,1 +123948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.03600543,1 +123946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.533344628,1 +123950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.82649982,1 +123949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.137796424,1 +123951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.278358194,1 +123952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.508996133,1 +123953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.124205117,1 +123954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,8.392623305,1 +123956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.498993099,1 +123957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.614838036,1 +123958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.567778001,1 +123955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.052309202,1 +123959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.14679831,1 +123960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.556863653,1 +123961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.269862098,1 +123962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,7.459223881,1 +123965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.055942748,1 +123964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.15171922,1 +123963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.147682686,1 +123967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.357144182,1 +123968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.705723889,1 +123969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.390247984,1 +123966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.106360826,1 +123970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.778850229,1 +123971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.395304136,1 +123972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.767472174,1 +123973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.673774037,1 +123975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.041546066,1 +123976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.76828519,1 +123974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.74690625,1 +123977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.86737296,1 +123978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.307838588,1 +123979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.731165947,1 +123980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.948185052,1 +123981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.531307244,1 +123982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.229379421,1 +123983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.644895824,1 +123985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.229358355,1 +123984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.799881482,1 +123986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.200121051,1 +123987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.499473485,1 +123988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.341243977,1 +123990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.85839406,1 +123991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.75609167,1 +123992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.163839033,1 +123989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.648081202,1 +123995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.157415259,1 +123993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.701012777,1 +123994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,4.180171742,1 +123996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.981243172,1 +123997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,3.40535939,1 +123998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.096053698,1 +123999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,5.127733852,1 +124000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,4,1,6.208228708,1 +133003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.639935717,1 +133001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.790355609,1 +133002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.339968011,1 +133005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.359118814,1 +133004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.882978201,1 +133007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.935672408,1 +133006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.03604082,1 +133008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.364444047,1 +133009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.843474296,1 +133010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.427495301,1 +133011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.163832461,1 +133012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.756861413,1 +133014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.635790074,1 +133015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.214461433,1 +133013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.545195969,1 +133017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.412694549,1 +133018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.144196763,1 +133016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.878117823,1 +133021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.556753152,1 +133019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.682415529,1 +133020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.977927328,1 +133022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.116597669,1 +133023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.305131736,1 +133024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.774970151,1 +133025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.300707627,1 +133026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.571658126,1 +133027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.938349086,1 +133028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,7.360578328,1 +133029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.083433488,1 +133030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.483836856,1 +133031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.722982406,1 +133034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.841068942,1 +133032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.11051141,1 +133035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.698505116,1 +133036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.2660752,1 +133033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.949417423,1 +133037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.71554038,1 +133038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.065243794,1 +133039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.000444972,1 +133041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.206391372,1 +133040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.547159161,1 +133042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,8.067120877,1 +133043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.872460714,1 +133044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.09371343,1 +133045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.949173328,1 +133046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,8.429545839,1 +133047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.329356911,1 +133049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.302442273,1 +133048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.020563377,1 +133050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.642533874,1 +133051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.407579443,1 +133053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.950536761,1 +133052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.739483487,1 +133054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.089439566,1 +133055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.065138617,1 +133056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.323382454,1 +133058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.423474269,1 +133059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.350912578,1 +133057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.803417105,1 +133061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.440134978,1 +133062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.402818151,1 +133063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.976206303,1 +133060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.503691097,1 +133065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.395427884,1 +133066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.284527828,1 +133064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.85887071,1 +133067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.152083339,1 +133068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.063865435,1 +133069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.084775167,1 +133070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.598879095,1 +133071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.571406142,1 +133072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.612989254,1 +133074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.41650088,1 +133075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.652918752,1 +133073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.188802754,1 +133076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.934922764,1 +133077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.670373201,1 +133079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.450454271,1 +133078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.561439214,1 +133080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.630095736,1 +133081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.937250118,1 +133082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.64847137,1 +133083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.552409805,1 +133084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.460981214,1 +133086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.423792645,1 +133085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.142534387,1 +133088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.114942716,1 +133087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.15224174,1 +133090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.05016782,1 +133092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.036537128,1 +133091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.260703418,1 +133089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.812952632,1 +133093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,8.482417305,1 +133095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.984111076,1 +133096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.008410049,1 +133097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.224657508,1 +133098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.359824257,1 +133094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.617055449,1 +133099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.879133142,1 +133100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.001092202,1 +133101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.100904043,1 +133103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.101221826,1 +133104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.426952566,1 +133102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.089505417,1 +133105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.997452773,1 +133106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.543870774,1 +133107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.49399407,1 +133108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.328988751,1 +133109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.373932498,1 +133110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.257350955,1 +133111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.926867114,1 +133114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.128815777,1 +133113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.129554612,1 +133115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.405330589,1 +133112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.571135497,1 +133116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.958825395,1 +133117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.462119009,1 +133118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.262745391,1 +133121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.524188773,1 +133120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.555390101,1 +133119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.642621952,1 +133122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.085187697,1 +133124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.868487861,1 +133123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.674112074,1 +133125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.287873691,1 +133126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.522657004,1 +133127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.847122142,1 +133128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.93502071,1 +133129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.479855677,1 +133130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.433495953,1 +133131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.81123703,1 +133132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.32380054,1 +133134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.905216968,1 +133135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.99380118,1 +133136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.27520566,1 +133133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.718057406,1 +133138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.715380853,1 +133137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.239504151,1 +133140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.039195321,1 +133139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,7.049981735,1 +133141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.850396364,1 +133142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.457534756,1 +133143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.847328529,1 +133144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.800332317,1 +133145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.763534392,1 +133146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.67418883,1 +133147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.365546698,1 +133148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.945047329,1 +133149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.882386534,1 +133150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.956451558,1 +133152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.571961116,1 +133151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.893298128,1 +133153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.866681685,1 +133154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.668207108,1 +133155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.461313778,1 +133157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.814320189,1 +133156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.167053511,1 +133158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.129558939,1 +133160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.647766916,1 +133159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.72998451,1 +133161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.32451175,1 +133162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.564715158,1 +133163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.684848403,1 +133164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.736642119,1 +133165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.565803568,1 +133166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.29388901,1 +133167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.950339433,1 +133168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.838130217,1 +133170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.477731816,1 +133172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,8.185040807,1 +133169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.367172969,1 +133171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.71276605,1 +133173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.919778519,1 +133174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.318172417,1 +133175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.769966911,1 +133176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.889550193,1 +133178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.509128367,1 +133177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.478511013,1 +133179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.254876771,1 +133180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.318597435,1 +133181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.516696877,1 +133182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.847920915,1 +133184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.574028244,1 +133183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.291499087,1 +133185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.487474124,1 +133186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.767220076,1 +133187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.394769698,1 +133188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.628981804,1 +133189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.824319684,1 +133190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.71679464,1 +133191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.953278989,1 +133193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.639817684,1 +133194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.73777599,1 +133192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.757598233,1 +133195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.420398422,1 +133196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.248820705,1 +133197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.509307344,1 +133198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.580698211,1 +133199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.584661005,1 +133201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.785553504,1 +133203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.027239853,1 +133200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.025571545,1 +133202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.546462736,1 +133204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,7.667238898,1 +133206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.564116656,1 +133205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.71834677,1 +133208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.407047426,1 +133210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.204578631,1 +133207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.158425556,1 +133209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.240276393,1 +133212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.37107521,1 +133211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,7.506387101,1 +133214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.503854113,1 +133213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.04162935,1 +133215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.839347842,1 +133216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.986783906,1 +133218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.084522902,1 +133220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.685245421,1 +133219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.24982186,1 +133217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.16041641,1 +133222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.248204877,1 +133223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.562906221,1 +133224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,7.290068642,1 +133221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.574854446,1 +133225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.067739428,1 +133226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.197057513,1 +133227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.822846727,1 +133231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.324711806,1 +133230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.020378014,1 +133228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.277763352,1 +133229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.670037874,1 +133232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.194860743,1 +133234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,7.419994873,1 +133233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.121333019,1 +133235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.046498774,1 +133238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.639540289,1 +133237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.265547674,1 +133239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.508207241,1 +133236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.355586427,1 +133240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.872736169,1 +133242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.539735211,1 +133243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.873516166,1 +133244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,7.088637509,1 +133245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.622388327,1 +133241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.228941106,1 +133246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.516509686,1 +133250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.134179745,1 +133249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.528375193,1 +133248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.731169757,1 +133247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.73083697,1 +133252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.080177127,1 +133253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.856804937,1 +133254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.16217364,1 +133251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.019311837,1 +133255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.211777222,1 +133256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.318967207,1 +133257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.732848708,1 +133258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.586075753,1 +133260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,7.972064402,1 +133261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.992538556,1 +133262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.040144413,1 +133259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.873146073,1 +133263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.375303807,1 +133264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.145631987,1 +133266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.166525446,1 +133265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.748479669,1 +133267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.625462362,1 +133270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.846539279,1 +133269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.755519896,1 +133271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.264761474,1 +133268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.442826198,1 +133272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.767588995,1 +133273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.484959157,1 +133274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.598549006,1 +133275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.836353279,1 +133276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.612188288,1 +133278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.094778754,1 +133279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.849496473,1 +133277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.833632956,1 +133280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.698063308,1 +133281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.9740232,1 +133282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.037120311,1 +133283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.336646366,1 +133285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.580295654,1 +133284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.590067444,1 +133286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.713524553,1 +133287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.293517056,1 +133288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.378467659,1 +133289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.782515882,1 +133292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.60779658,1 +133293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.126897091,1 +133290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.669984088,1 +133291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.88821632,1 +133294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.599314294,1 +133295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.881758369,1 +133296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.854663735,1 +133297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.196171212,1 +133299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.285620134,1 +133298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.096352087,1 +133301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.781565578,1 +133300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.715241542,1 +133303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.324982039,1 +133302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.199866082,1 +133304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,8.100811073,1 +133305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.510476318,1 +133307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.320395692,1 +133306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.737102883,1 +133308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.116915849,1 +133309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.538652029,1 +133311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.521801213,1 +133310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.635559171,1 +133312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.255181056,1 +133313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.117416856,1 +133314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.772237564,1 +133316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.885640102,1 +133315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,7.390834613,1 +133317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.355818681,1 +133318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.75875732,1 +133319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.862027203,1 +133321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.436386671,1 +133320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.176493326,1 +133322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.097518356,1 +133323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.814093851,1 +133325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.636540153,1 +133324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.936279705,1 +133326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.190196242,1 +133327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.669360264,1 +133330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.790874039,1 +133329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.304470039,1 +133331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.895107744,1 +133328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,1.79614915,1 +133332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.407676286,1 +133333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.765812117,1 +133334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.823670021,1 +133335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.223444083,1 +133337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.391552931,1 +133336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.607989817,1 +133338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.033585186,1 +133339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.099027563,1 +133341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.31925753,1 +133342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.91947109,1 +133343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.992774475,1 +133340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.285407363,1 +133344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.179465718,1 +133345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.126318636,1 +133348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.33957758,1 +133346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.390859116,1 +133347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.377588768,1 +133349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.334930865,1 +133352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.019447572,1 +133350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.085890689,1 +133351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.831313564,1 +133355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.967984871,1 +133353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.064520745,1 +133354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.506212815,1 +133357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.716755919,1 +133356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.493623069,1 +133358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.819745477,1 +133359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.702373026,1 +133360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.976809639,1 +133361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.632652623,1 +133362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.627378777,1 +133363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.169440434,1 +133364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.820485526,1 +133365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.919061222,1 +133366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.6483301,1 +133367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.242487864,1 +133368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.720197269,1 +133370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,1.602901425,1 +133369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.469992969,1 +133372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.405130135,1 +133373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.808557538,1 +133374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.27574607,1 +133371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.737041166,1 +133375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.094469152,1 +133376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.369219421,1 +133377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.820870701,1 +133378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.484480916,1 +133379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.564149224,1 +133380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.611386687,1 +133381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.148228288,1 +133382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.100892932,1 +133384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.668792364,1 +133386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.967716261,1 +133383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.728935262,1 +133385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.264803347,1 +133387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.398238755,1 +133390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.478634236,1 +133389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.577489878,1 +133391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.887174601,1 +133392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.131796199,1 +133393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.879415513,1 +133388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.188990785,1 +133394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.934017289,1 +133395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.332652862,1 +133396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.97518091,1 +133399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.760097501,1 +133400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.555135389,1 +133397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.430210815,1 +133398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.182334991,1 +133402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.593998275,1 +133403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.653625641,1 +133404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.41328739,1 +133401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.910946839,1 +133405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.411081197,1 +133407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.18076893,1 +133408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.882987036,1 +133409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.914564106,1 +133410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.527653624,1 +133411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.071618091,1 +133406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.51597103,1 +133412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.439805536,1 +133414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.759962872,1 +133415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.429425088,1 +133413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.680069922,1 +133417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.281090476,1 +133416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.499746927,1 +133418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.720245459,1 +133419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.34764677,1 +133420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.924083508,1 +133421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.051308789,1 +133423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.016792411,1 +133422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.059230334,1 +133424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.375491319,1 +133425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.434152987,1 +133426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.890243487,1 +133429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.825997084,1 +133428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.769028402,1 +133430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.402435334,1 +133427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.407558516,1 +133432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.940577342,1 +133434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.509742905,1 +133431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.558358771,1 +133433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.802900918,1 +133435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.349286303,1 +133437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.269539826,1 +133436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.515746058,1 +133438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.632877092,1 +133439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.535794947,1 +133441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.097219384,1 +133440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.752827661,1 +133442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.297836122,1 +133443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.748603393,1 +133445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.972005983,1 +133444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.690677862,1 +133446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.641148596,1 +133447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.71527152,1 +133448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.400755236,1 +133449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.067808826,1 +133450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.534751635,1 +133451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.723713918,1 +133452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.503386796,1 +133453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.466793496,1 +133455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.621981537,1 +133456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.490973513,1 +133454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.182541845,1 +133457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.370058582,1 +133458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.565218681,1 +133459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.552200378,1 +133460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.508285066,1 +133461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.504341628,1 +133462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.541500985,1 +133463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.963103772,1 +133464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.833510576,1 +133467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.383360264,1 +133466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.645908966,1 +133465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.503444286,1 +133469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.68142631,1 +133468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.247640092,1 +133470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.309340752,1 +133471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,1.764073154,1 +133472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.559255387,1 +133473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.766020577,1 +133476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.150531044,1 +133477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.949628783,1 +133474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.994694044,1 +133475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.46857764,1 +133478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.348723673,1 +133480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.286741503,1 +133481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.771115954,1 +133479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.87741109,1 +133483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.314294939,1 +133484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.003991674,1 +133485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.106929002,1 +133487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.175235779,1 +133486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.295994815,1 +133488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.214465183,1 +133482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.260274521,1 +133490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.768463375,1 +133491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.541056779,1 +133489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.293466593,1 +133492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.621758528,1 +133495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.73108874,1 +133493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.331713584,1 +133496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.950252429,1 +133497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.371679607,1 +133494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.016433095,1 +133499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.072315007,1 +133498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,8.737706939,1 +133500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.051041463,1 +133501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.141304439,1 +133503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.857638578,1 +133504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.872169577,1 +133505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.122468408,1 +133502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.878087938,1 +133506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.132540994,1 +133508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.543007552,1 +133509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.809572131,1 +133507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.725641641,1 +133510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.792414546,1 +133511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.905204946,1 +133512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.056748557,1 +133513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,8.040552963,1 +133516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.111645289,1 +133517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.581283008,1 +133514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.849303501,1 +133519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.156547636,1 +133515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.035330481,1 +133520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.382112114,1 +133518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.652320213,1 +133522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.866272709,1 +133523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.030323576,1 +133521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.441052645,1 +133524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.433834763,1 +133525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.930408158,1 +133527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.014652679,1 +133526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.371081431,1 +133528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.080434139,1 +133529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.785998107,1 +133530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.733434965,1 +133531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.394701403,1 +133532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.738633228,1 +133534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.349703669,1 +133535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.946110617,1 +133533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.005260353,1 +133537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.126281799,1 +133536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.927323862,1 +133539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.928651741,1 +133538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.352002783,1 +133540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.030599349,1 +133542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.355314871,1 +133541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.281227563,1 +133543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.456055721,1 +133544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.628844598,1 +133546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.342825826,1 +133545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.385041432,1 +133547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.854549326,1 +133548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.580644927,1 +133549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.695554342,1 +133551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.298379429,1 +133552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.442992671,1 +133550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.358348691,1 +133553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.280693935,1 +133556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.474709771,1 +133554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.049971286,1 +133555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.649854807,1 +133557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.083236832,1 +133558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.02225823,1 +133559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.147266821,1 +133560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.514573922,1 +133561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.66496319,1 +133562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.398635866,1 +133564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.859919381,1 +133563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.667222086,1 +133565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.186312825,1 +133567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.971279634,1 +133568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.721999181,1 +133566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.605873896,1 +133569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.093730022,1 +133571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.775786317,1 +133572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.512364525,1 +133573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.560168063,1 +133574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.117391429,1 +133570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.927955521,1 +133575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,7.001428501,1 +133576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.567213225,1 +133577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.552459847,1 +133579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.772604537,1 +133580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.985833199,1 +133578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.018858653,1 +133582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.335929309,1 +133583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.815851192,1 +133581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.488725978,1 +133584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.008714606,1 +133585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.392544864,1 +133586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.919536565,1 +133587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.522515878,1 +133588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.436019918,1 +133589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.261882907,1 +133590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.216103777,1 +133591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.329557593,1 +133593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.887729478,1 +133594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.793650338,1 +133595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.713507854,1 +133596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.041620583,1 +133592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.423030943,1 +133598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.547967598,1 +133597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.215746967,1 +133599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.608269382,1 +133601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.167407413,1 +133600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.581843178,1 +133602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.138621745,1 +133603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.417494243,1 +133604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.44446198,1 +133605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.777406216,1 +133607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.818376768,1 +133606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.44345147,1 +133608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.50739679,1 +133610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.805482946,1 +133611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.204692456,1 +133612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,7.482157045,1 +133609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.551101823,1 +133613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.816829991,1 +133614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.231960295,1 +133615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.040465462,1 +133616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.538116133,1 +133617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.542692547,1 +133618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.12493697,1 +133619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.603466239,1 +133620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.00787714,1 +133621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.385015631,1 +133622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.65840797,1 +133623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.043843701,1 +133624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.539050215,1 +133625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.89042497,1 +133626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.546530661,1 +133628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.944378761,1 +133630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.056326126,1 +133629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.881621083,1 +133631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.047623234,1 +133633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.945894122,1 +133627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.465898499,1 +133632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.558018717,1 +133634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,7.252737765,1 +133636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.091013592,1 +133637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.179352213,1 +133635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.783611809,1 +133638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.647390041,1 +133639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.113225862,1 +133641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.302909342,1 +133640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.719642331,1 +133642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.354224018,1 +133643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.735458104,1 +133645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.400761522,1 +133644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.219698753,1 +133647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.939870196,1 +133648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.692391703,1 +133646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.492093895,1 +133649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.65055397,1 +133651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.933007444,1 +133650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.512548906,1 +133652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.742035661,1 +133653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.026636878,1 +133654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,1.862997411,1 +133655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.169710037,1 +133656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.814191008,1 +133657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.414442398,1 +133660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.305206285,1 +133659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.730588071,1 +133661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.254351269,1 +133658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.64228211,1 +133662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.345736201,1 +133663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.664068412,1 +133664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.848291772,1 +133665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,1.866447632,1 +133666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.91930059,1 +133667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.180160671,1 +133668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.315453903,1 +133669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.823359031,1 +133670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.258396076,1 +133671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.946655014,1 +133672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.26892008,1 +133674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.239049441,1 +133675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.652564543,1 +133676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.336836626,1 +133673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.307952494,1 +133677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.080391092,1 +133678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.635467958,1 +133680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.457406873,1 +133679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.434076663,1 +133682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.845692225,1 +133681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.017655905,1 +133683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.024846567,1 +133684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.587010798,1 +133685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.840193266,1 +133686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.947005449,1 +133687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.379138321,1 +133688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.257067793,1 +133689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.983369534,1 +133690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.29208117,1 +133691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,8.531689646,1 +133692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.806292039,1 +133694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.07546821,1 +133693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.928741093,1 +133697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.798920091,1 +133698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.815840858,1 +133696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.411388345,1 +133700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.873361804,1 +133699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.318090748,1 +133695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.42914682,1 +133703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.038143835,1 +133702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.043510933,1 +133704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.29723138,1 +133706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.8034066,1 +133701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.005929305,1 +133705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.957601569,1 +133707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.242766135,1 +133709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.441587871,1 +133708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,1.631832993,1 +133710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.323626398,1 +133713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.279285623,1 +133714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.497329759,1 +133712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.979561896,1 +133711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.576813093,1 +133715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.807436765,1 +133716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.088444526,1 +133718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.456950615,1 +133719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.939325139,1 +133720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.662033359,1 +133717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.563334029,1 +133721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.73121319,1 +133724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.508907967,1 +133722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.950785311,1 +133725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.595141414,1 +133723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.78345453,1 +133726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.206688175,1 +133727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.87892342,1 +133729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.158578129,1 +133730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.802697603,1 +133732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.156416462,1 +133728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.120263804,1 +133733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.102759435,1 +133731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.767454193,1 +133734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.200213864,1 +133737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.821397771,1 +133735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.028780245,1 +133736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.386499657,1 +133740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,1.682620273,1 +133739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.550241436,1 +133738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.204470082,1 +133741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.869840178,1 +133743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.587614089,1 +133742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.931873112,1 +133744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.757556663,1 +133745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.123870696,1 +133748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.7967036,1 +133749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.016384425,1 +133746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.418818535,1 +133750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.937560443,1 +133747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.485025535,1 +133752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.329105584,1 +133754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.472569081,1 +133751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.122334663,1 +133753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.697061353,1 +133755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.853413831,1 +133756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.621038231,1 +133757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.572371735,1 +133758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.932574893,1 +133759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.292541642,1 +133760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.980563297,1 +133761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.898802656,1 +133762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.943697291,1 +133764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.665808127,1 +133765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.249202831,1 +133766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.462769018,1 +133763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.186157693,1 +133768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.769572083,1 +133767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.146151539,1 +133770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.421610628,1 +133769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.084246871,1 +133771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.470898624,1 +133772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.657664921,1 +133774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.614364225,1 +133775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.712581451,1 +133773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.059874125,1 +133776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.795222588,1 +133777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.200029852,1 +133778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.376359487,1 +133779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.608925199,1 +133780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.761092783,1 +133781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.898494373,1 +133782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.195919364,1 +133784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.178933462,1 +133786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.047047598,1 +133783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.780503849,1 +133785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.674234327,1 +133787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.756540438,1 +133788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.003534183,1 +133789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.071685651,1 +133790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.082821228,1 +133791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.567081217,1 +133792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.873275825,1 +133793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.110292188,1 +133795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.461302141,1 +133794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.253024031,1 +133796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.374286589,1 +133799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.945934798,1 +133798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,9.450479531,1 +133800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.231503166,1 +133797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.282991872,1 +133801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.37753174,1 +133802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.09085037,1 +133803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.294846771,1 +133805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.603529603,1 +133804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.214649659,1 +133806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.223536757,1 +133807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.856979424,1 +133808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.347447466,1 +133810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.974636633,1 +133811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.379881243,1 +133809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.908979259,1 +133812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.351682951,1 +133813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.157087147,1 +133815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.106834951,1 +133816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.854059497,1 +133814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.36581794,1 +133817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.127256854,1 +133820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.647435667,1 +133819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.636850862,1 +133821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.036733845,1 +133822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.459998587,1 +133823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.478077495,1 +133818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.47430977,1 +133824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.166764374,1 +133825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.655509471,1 +133826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.24881195,1 +133828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.171186579,1 +133830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.696279058,1 +133827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.032889552,1 +133829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.698895741,1 +133831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.650843986,1 +133833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.217733137,1 +133832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.023155028,1 +133834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.568746662,1 +133835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.760003209,1 +133836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.776414514,1 +133838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,1.769742493,1 +133837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.886980669,1 +133839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.419899948,1 +133842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.801325934,1 +133841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.898681358,1 +133843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.869132122,1 +133840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.79222479,1 +133844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.832117747,1 +133845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.632169316,1 +133846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.478791532,1 +133849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.621228269,1 +133847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.258259887,1 +133848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.606090079,1 +133850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.177515914,1 +133852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,1.5497189,1 +133851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.089233156,1 +133853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,7.813178683,1 +133854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.934617316,1 +133855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.323185909,1 +133856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.588793207,1 +133857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.290469913,1 +133859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.482639944,1 +133860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.114381597,1 +133861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.647279524,1 +133858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.236673721,1 +133862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.255148553,1 +133865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.967818425,1 +133864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.480123648,1 +133863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.092256875,1 +133866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.738950265,1 +133867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.596182526,1 +133868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.270584182,1 +133869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.82527883,1 +133870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.141342148,1 +133872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.142713808,1 +133871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.809057053,1 +133873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.516953581,1 +133874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.424951217,1 +133875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.235484434,1 +133878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.773922792,1 +133877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.868261038,1 +133876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.004824348,1 +133879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.921239894,1 +133881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.716010155,1 +133880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.211186333,1 +133884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.105408186,1 +133882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.114994306,1 +133885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.5175323,1 +133883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.304165551,1 +133886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.387058221,1 +133887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.827739303,1 +133888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.419006489,1 +133889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.186801379,1 +133890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.898520189,1 +133892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.841806899,1 +133891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.525256397,1 +133893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.550004274,1 +133896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.887328268,1 +133895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.566774449,1 +133894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.011695055,1 +133898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.907028527,1 +133899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.24660696,1 +133900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.441945235,1 +133897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.483886105,1 +133901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.326420789,1 +133902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.576906921,1 +133903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.177703146,1 +133904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.109808876,1 +133905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.114788151,1 +133906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,7.674372113,1 +133907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.417827822,1 +133908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.102946314,1 +133909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.167357644,1 +133910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.905325175,1 +133912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.08915313,1 +133911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.067790871,1 +133913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.090009335,1 +133914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.036922804,1 +133915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.599899535,1 +133916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.484133702,1 +133917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.480272734,1 +133918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.431780686,1 +133920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.822095499,1 +133919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.733371843,1 +133921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.039951535,1 +133922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.84387076,1 +133923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.709767983,1 +133924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.262617488,1 +133925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.445930922,1 +133926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.180502618,1 +133927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,7.059445144,1 +133929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.649054996,1 +133930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.895604611,1 +133928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.625605631,1 +133931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.841040604,1 +133932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.972736319,1 +133933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.782458955,1 +133935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.976354777,1 +133936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.196208233,1 +133937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.543719904,1 +133934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.794738943,1 +133938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.479892597,1 +133939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.973108538,1 +133941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.611346424,1 +133940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.823403464,1 +133943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.574632682,1 +133942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.520015082,1 +133944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.600207537,1 +133945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.160405974,1 +133946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.270306342,1 +133947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.059690415,1 +133949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.394667552,1 +133950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.763293487,1 +133951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.286049385,1 +133952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.804371685,1 +133953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.671497374,1 +133948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,2.528638665,1 +133954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.412162202,1 +133955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.920280519,1 +133957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.92420886,1 +133956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.495836907,1 +133958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.316418464,1 +133959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.151895896,1 +133960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,7.641145787,1 +133962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.538952826,1 +133961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.218108378,1 +133963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.100388325,1 +133964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.90682689,1 +133966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.894409696,1 +133967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.157094791,1 +133969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.32461038,1 +133968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.277829444,1 +133965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.247202121,1 +133970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.89724827,1 +133971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.554029249,1 +133973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.241791262,1 +133972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.86915038,1 +133974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.378731916,1 +133975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.804254762,1 +133976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.36550846,1 +133977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.299038121,1 +133978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.901926931,1 +133979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.264457474,1 +133980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.946290932,1 +133981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.039269916,1 +133983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.837589196,1 +133982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.217737763,1 +133985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.119371958,1 +133986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.753724348,1 +133987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.568792179,1 +133984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.539327655,1 +133988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.126192172,1 +133989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,1.944336992,1 +133990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.653922646,1 +133991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.945757077,1 +133992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.029457343,1 +133994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.128617347,1 +133993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,6.187750749,1 +133995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.982664242,1 +133996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.829846959,1 +133998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,3.875035196,1 +133997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.820678891,1 +134000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,4.512192878,1 +133999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,4,1,5.765457043,1 +143001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.838222791,1 +143002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.372968996,1 +143004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.737941317,1 +143005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.446778702,1 +143006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.774152318,1 +143003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.885294081,1 +143007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.471741085,1 +143008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.054845416,1 +143009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.815309594,1 +143010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.504818812,1 +143011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.117572698,1 +143014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.973018941,1 +143013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.543906238,1 +143015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,1.176787366,1 +143012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.623843447,1 +143017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.677339351,1 +143018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.654539202,1 +143019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.165762351,1 +143016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.676160856,1 +143020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.943765739,1 +143021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.506036649,1 +143022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.827014749,1 +143024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.084478012,1 +143023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.829350651,1 +143025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.643860435,1 +143026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.262525586,1 +143028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.468562944,1 +143027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.887462422,1 +143029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.972257024,1 +143030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.367657582,1 +143032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.021404078,1 +143031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.455656271,1 +143033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.71193986,1 +143034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.888050764,1 +143035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.913558947,1 +143037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.426337762,1 +143039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.232242511,1 +143038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.541409813,1 +143040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.172589096,1 +143036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.027404182,1 +143042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.584240811,1 +143044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.264900201,1 +143041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.248293623,1 +143043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.847544584,1 +143046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.674239624,1 +143047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.33364844,1 +143048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.752507484,1 +143045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.924006347,1 +143049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.61789948,1 +143050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.689449455,1 +143051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.389800195,1 +143052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.636081898,1 +143054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.933943685,1 +143055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.942959685,1 +143053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,7.606936306,1 +143056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.479771494,1 +143059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.890405255,1 +143057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.650266476,1 +143058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.903449544,1 +143061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.725818503,1 +143062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.580213288,1 +143063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.406017981,1 +143060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.285286195,1 +143064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.250612727,1 +143065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.754106268,1 +143066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.944302104,1 +143069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,7.085511665,1 +143067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.428372151,1 +143070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.462961477,1 +143068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.374258261,1 +143072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.770762426,1 +143071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.628284393,1 +143074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.097390291,1 +143073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.517340363,1 +143076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,8.263630499,1 +143077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.684626991,1 +143075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.57085802,1 +143078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.111591639,1 +143079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.203437313,1 +143080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.820021389,1 +143082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.568119408,1 +143083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.629573502,1 +143084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.866896125,1 +143085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.027379855,1 +143081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.860527478,1 +143087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.444099621,1 +143089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.82988971,1 +143086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.608155481,1 +143088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.314324903,1 +143090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.88769064,1 +143091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.411949788,1 +143092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.468632674,1 +143093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.301822007,1 +143094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.918592692,1 +143095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.903730094,1 +143098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.139416107,1 +143097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.69299822,1 +143096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.147573631,1 +143101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.755907845,1 +143102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.586983662,1 +143099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.256450706,1 +143100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.314797801,1 +143105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.055402863,1 +143104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.101043914,1 +143103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.222710691,1 +143106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.185551028,1 +143107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.370171041,1 +143108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.079388077,1 +143109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.298179341,1 +143110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.396758288,1 +143112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,7.1314195,1 +143111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.841292955,1 +143113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.356138489,1 +143114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.187565941,1 +143115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.989346008,1 +143117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.494613758,1 +143118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.60928208,1 +143116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.637638407,1 +143120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.499912083,1 +143119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.890143711,1 +143121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.682619214,1 +143122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.597882314,1 +143123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.196821407,1 +143124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.96042072,1 +143125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.538436538,1 +143128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.721525076,1 +143127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.345687629,1 +143126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.745409881,1 +143129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.16369982,1 +143130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.116165364,1 +143131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.561726447,1 +143133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.771895151,1 +143135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.538301156,1 +143134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.706341808,1 +143132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.505080795,1 +143138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.320737252,1 +143139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.189625771,1 +143136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.875747591,1 +143137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.809311988,1 +143140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.125077199,1 +143142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.864409674,1 +143141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.914148419,1 +143143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.301642836,1 +143145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.631740357,1 +143144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.475683988,1 +143147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.291481322,1 +143146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.316210586,1 +143149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.708567881,1 +143148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.744491799,1 +143150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.908294249,1 +143151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.944564997,1 +143153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.447088233,1 +143152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.32316539,1 +143154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.074799517,1 +143155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.453769158,1 +143156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.679004407,1 +143157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.478935258,1 +143158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.835268931,1 +143160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.268987587,1 +143161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.562009717,1 +143159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.367453482,1 +143162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.7099191,1 +143163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.39162882,1 +143165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.595611441,1 +143164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.60655181,1 +143166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.667609893,1 +143167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.311706598,1 +143168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,7.422127476,1 +143169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.195337187,1 +143170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.68471899,1 +143171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.861087235,1 +143173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.809015845,1 +143174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.097446982,1 +143175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.098231094,1 +143172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.563667406,1 +143176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.653988241,1 +143177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.710954254,1 +143178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.663976948,1 +143179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.673021116,1 +143181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.286988821,1 +143182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.26952846,1 +143180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.902271173,1 +143184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.010028784,1 +143185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,7.851172853,1 +143186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.678523378,1 +143183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.875615205,1 +143188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.073157324,1 +143187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.022660303,1 +143189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.643411403,1 +143191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.770114275,1 +143192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.535943124,1 +143193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,7.303206015,1 +143190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.16074939,1 +143194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.504332703,1 +143196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.039051737,1 +143195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.753935388,1 +143197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.928639652,1 +143198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.531484079,1 +143200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.524536981,1 +143201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.067298125,1 +143202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.478297395,1 +143203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.647617817,1 +143199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.111455516,1 +143205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.932262799,1 +143206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.737600877,1 +143207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.462573372,1 +143208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.16405203,1 +143204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.850547255,1 +143209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.210336623,1 +143210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.348404225,1 +143211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.127655803,1 +143212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.169542399,1 +143214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,1.969454544,1 +143213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.774290793,1 +143215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.992646047,1 +143216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.135197559,1 +143218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.089342873,1 +143219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.940520024,1 +143217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.230993812,1 +143220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.877858821,1 +143221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.461064197,1 +143222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.250064395,1 +143225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.861285728,1 +143223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.450219044,1 +143226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.202684179,1 +143224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.776719853,1 +143228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.998283378,1 +143227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.497591274,1 +143229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.816918862,1 +143231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,1.792950009,1 +143230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.096187454,1 +143232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.280090306,1 +143233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.977828924,1 +143237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.533230657,1 +143235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.138226563,1 +143236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.58530245,1 +143234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.10190873,1 +143238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.792492727,1 +143239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.976694744,1 +143240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.939521182,1 +143241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,7.527140272,1 +143244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.486601371,1 +143242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.52297243,1 +143245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.205751195,1 +143243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.604635983,1 +143246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.04717135,1 +143247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.392034797,1 +143248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,1.979537532,1 +143249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.585434018,1 +143250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.486776961,1 +143251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.95636698,1 +143253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.443400085,1 +143254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.672234391,1 +143255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.837853649,1 +143252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.871963466,1 +143257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,7.24335645,1 +143258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.273400463,1 +143259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.657376402,1 +143256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.209962542,1 +143260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.146927359,1 +143262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.085741791,1 +143263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.353697669,1 +143261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.657829659,1 +143264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,7.277943831,1 +143265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,1.774281292,1 +143267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.089557287,1 +143266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.818087414,1 +143268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.196256817,1 +143270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.389672422,1 +143269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,7.407479612,1 +143271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,7.881211656,1 +143272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.399402332,1 +143273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.27316145,1 +143274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.13614825,1 +143276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,1.774164791,1 +143277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.422042036,1 +143278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.044207287,1 +143279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.625913125,1 +143280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.105959171,1 +143275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.525739177,1 +143281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.985441316,1 +143283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.137959289,1 +143282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.540087094,1 +143285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,7.909650295,1 +143284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.413060808,1 +143287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.58314653,1 +143286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.123137938,1 +143288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.621284588,1 +143290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,8.64856572,1 +143289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.568940952,1 +143291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.67033502,1 +143292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.550296135,1 +143293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.836951244,1 +143294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.533575315,1 +143296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.689150368,1 +143295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.413125004,1 +143297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.077491691,1 +143299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.788259068,1 +143300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.490145443,1 +143301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.528065357,1 +143298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.892205036,1 +143303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.556898098,1 +143302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.481579341,1 +143305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.036826205,1 +143304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.755960075,1 +143306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.317400805,1 +143307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.954677925,1 +143308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.938884862,1 +143309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.572792305,1 +143310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.054765812,1 +143311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.381276934,1 +143312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.587485156,1 +143313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.28206199,1 +143314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.880059292,1 +143315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.534693434,1 +143318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.503225864,1 +143317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.926004184,1 +143319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.924782089,1 +143316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.001567258,1 +143320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.288975396,1 +143321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,7.025732694,1 +143322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.936435957,1 +143324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.823053197,1 +143325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.717813735,1 +143323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.960126337,1 +143326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.013035661,1 +143327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.069308312,1 +143328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.316071019,1 +143329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.755149774,1 +143330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,8.342911723,1 +143331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.062941839,1 +143332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.78165182,1 +143333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.903657518,1 +143335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.448059837,1 +143334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.626032917,1 +143336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,7.139349865,1 +143337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.588472085,1 +143339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.391874958,1 +143338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.587322423,1 +143340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.709582885,1 +143343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.381176599,1 +143342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.897266521,1 +143341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.133748046,1 +143344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.571489699,1 +143345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.17823505,1 +143346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.073569976,1 +143347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.444498856,1 +143348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.527353988,1 +143349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.925891305,1 +143350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.813574656,1 +143352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.040297945,1 +143353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.876167436,1 +143354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.798499666,1 +143355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.336877395,1 +143356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.50957331,1 +143357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.324989828,1 +143351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.253015438,1 +143358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.901730806,1 +143359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.898398864,1 +143360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.369659531,1 +143362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.511221316,1 +143361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.722003965,1 +143363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.966634745,1 +143364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.321487983,1 +143365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.604030572,1 +143366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.356628098,1 +143367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.023977394,1 +143368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.672382907,1 +143369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.059919593,1 +143371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.675477886,1 +143370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.438231523,1 +143372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.130046232,1 +143373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.714970728,1 +143374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.228047809,1 +143376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.896275032,1 +143377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.177958286,1 +143375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.119899318,1 +143378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.582771664,1 +143379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.106031544,1 +143381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.84614286,1 +143380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.511225918,1 +143382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.686844934,1 +143383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.582070426,1 +143386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.05706035,1 +143385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.81330563,1 +143387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.104295279,1 +143384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.072380091,1 +143389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.000070731,1 +143388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.597038527,1 +143390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.528626258,1 +143392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.275879712,1 +143393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.159776555,1 +143391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.41620289,1 +143394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.897641976,1 +143396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.185222776,1 +143395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.121860917,1 +143397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.507691993,1 +143398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.453783293,1 +143399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.040337656,1 +143400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.042261509,1 +143402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.553387059,1 +143401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.443495942,1 +143403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.858996415,1 +143404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.290505654,1 +143405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.15457745,1 +143407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.729117238,1 +143406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.162042935,1 +143409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.528537993,1 +143408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.79975971,1 +143410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.162584881,1 +143412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,7.812826867,1 +143413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.427438377,1 +143411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.365591526,1 +143414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.061362703,1 +143416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.585836081,1 +143415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.058783294,1 +143417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.699857331,1 +143418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.27106559,1 +143420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,7.01768731,1 +143419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.302081252,1 +143422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.39071772,1 +143423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.036481296,1 +143424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.686702519,1 +143421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.911918002,1 +143425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.246961936,1 +143428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.748178904,1 +143427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.17356156,1 +143426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.367524509,1 +143429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.70866897,1 +143431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.472020219,1 +143432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.445302164,1 +143433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.651580035,1 +143434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.17028041,1 +143435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.093481091,1 +143436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.441246525,1 +143430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.860014396,1 +143438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.610420193,1 +143437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.482302625,1 +143439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.191991882,1 +143440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.194480072,1 +143441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.124039972,1 +143442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.189948491,1 +143444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,7.136084647,1 +143443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,7.322580526,1 +143445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.466307204,1 +143446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.549705982,1 +143447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.870783214,1 +143448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.908129234,1 +143449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.548056538,1 +143450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.576142488,1 +143452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.924280907,1 +143453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.533127969,1 +143454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.265604727,1 +143451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.80051358,1 +143455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.199867562,1 +143456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.285926238,1 +143458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.60266723,1 +143457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.638943213,1 +143459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.484822214,1 +143460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.812468481,1 +143461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,7.336224231,1 +143462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.36464761,1 +143463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.356920433,1 +143464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.700851007,1 +143466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.334299473,1 +143467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.371858995,1 +143468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,7.747289682,1 +143469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.821411539,1 +143470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.515747087,1 +143465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.091113152,1 +143472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.780885553,1 +143471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.027727853,1 +143474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.440505795,1 +143473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.460906997,1 +143475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,7.141718196,1 +143476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.455309258,1 +143477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.890669708,1 +143478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.310628137,1 +143479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.37722943,1 +143480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.139778586,1 +143481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.379887131,1 +143482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.468338848,1 +143483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,7.042724209,1 +143485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.062029287,1 +143486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.358729775,1 +143487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.58502911,1 +143488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.181265048,1 +143484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.580148844,1 +143489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.397990797,1 +143490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.335016206,1 +143491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.236909543,1 +143493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.621652793,1 +143492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,7.265634641,1 +143494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.703593531,1 +143495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.96106314,1 +143496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.8724672,1 +143497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.635977412,1 +143498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.852420967,1 +143499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.326796984,1 +143500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.418243097,1 +143502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.942266568,1 +143501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.59046892,1 +143503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.59711449,1 +143504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.526829679,1 +143506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.287695585,1 +143505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.359938931,1 +143507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.31701342,1 +143508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.141546523,1 +143510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.760675484,1 +143509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.605839816,1 +143511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.097173082,1 +143512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.446656009,1 +143514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.674194352,1 +143513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.126286869,1 +143515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.417843995,1 +143516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.426345901,1 +143518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.620542352,1 +143517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.131226548,1 +143519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.9236251,1 +143520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.805180956,1 +143522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.213415924,1 +143521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.063400297,1 +143524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,7.305836576,1 +143525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.350492311,1 +143526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.780205964,1 +143527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.67313138,1 +143523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.290593375,1 +143528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.613768004,1 +143529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.767181631,1 +143530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.527317879,1 +143532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.783662535,1 +143531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.473996335,1 +143533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.24167877,1 +143534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.276553726,1 +143536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.92380463,1 +143535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.292543051,1 +143537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.113627621,1 +143539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.382343306,1 +143538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.441430798,1 +143540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.443511935,1 +143543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.83335788,1 +143541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.646123853,1 +143544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.369967657,1 +143545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.661265937,1 +143546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.738499499,1 +143547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.826258647,1 +143542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,8.037677391,1 +143548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.602491368,1 +143549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.53415095,1 +143551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.816223935,1 +143550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.917991035,1 +143552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.069441882,1 +143554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.150790472,1 +143553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.55558338,1 +143555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.019468998,1 +143556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.324464738,1 +143559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.424525929,1 +143557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.597601402,1 +143558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.545514668,1 +143560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.197688373,1 +143561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.510527905,1 +143563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,7.872319279,1 +143564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.181107322,1 +143562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.326113427,1 +143565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.595197153,1 +143566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.479926902,1 +143567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.901675564,1 +143568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.374980899,1 +143569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.63924926,1 +143570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.579548073,1 +143571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,1.980516422,1 +143572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.485933866,1 +143573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.128947694,1 +143574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.320529429,1 +143575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.417283349,1 +143576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.501228436,1 +143577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.743785535,1 +143579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.251891794,1 +143578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.603038114,1 +143581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,1.437979139,1 +143580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.871359071,1 +143582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.466690658,1 +143584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.618041822,1 +143585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.6370139,1 +143586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.014152293,1 +143587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.130730839,1 +143583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.568614651,1 +143588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.002376103,1 +143589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.153059249,1 +143590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.270344855,1 +143592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.00955969,1 +143593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.465675291,1 +143591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.062517443,1 +143595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.322330424,1 +143594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.013635744,1 +143597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,7.19418915,1 +143596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.099055518,1 +143599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.659335442,1 +143598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.727037834,1 +143601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.740799264,1 +143600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.750315797,1 +143602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.559283012,1 +143603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.071933637,1 +143604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,7.249025264,1 +143606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.82489652,1 +143607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.205251218,1 +143608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.316874459,1 +143605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.069234585,1 +143609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.597674949,1 +143610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.096594131,1 +143611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.609797701,1 +143612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,8.984377758,1 +143613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.102348911,1 +143614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.157041831,1 +143615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.156468251,1 +143616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.445103027,1 +143617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.511008339,1 +143618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.697587001,1 +143619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.31050777,1 +143620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.951890969,1 +143621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.101195223,1 +143622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.344388716,1 +143623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.256784973,1 +143625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.023470594,1 +143626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.312622931,1 +143627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.517969023,1 +143624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.927028828,1 +143628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,7.390237019,1 +143629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.565459952,1 +143630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.988100123,1 +143631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.884539505,1 +143632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.86228492,1 +143633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.123964876,1 +143634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.696029885,1 +143635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.357802319,1 +143636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.837918765,1 +143638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.797594183,1 +143637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.0388465,1 +143640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.073963731,1 +143639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.265707715,1 +143641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.175138143,1 +143642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.457177319,1 +143643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.831977789,1 +143645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.923818069,1 +143646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.457969361,1 +143644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.177650781,1 +143647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.65421875,1 +143648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.768822073,1 +143650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.275594633,1 +143649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.508351341,1 +143651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.172219316,1 +143652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.705321262,1 +143653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.049835715,1 +143654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.629362721,1 +143656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.671830549,1 +143655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,7.039586945,1 +143657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.860044196,1 +143658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.755297883,1 +143659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.978681611,1 +143660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,1.930233603,1 +143663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.298172475,1 +143664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.627336462,1 +143662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.474291566,1 +143661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.779881038,1 +143666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.07407449,1 +143665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.522277277,1 +143667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,1.983186846,1 +143669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.798367115,1 +143670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.717276823,1 +143671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.382120139,1 +143668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.349094127,1 +143672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.399083455,1 +143673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.913083008,1 +143675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.35497332,1 +143674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.347021322,1 +143676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.791804987,1 +143677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.069109143,1 +143678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.053954001,1 +143679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.787117971,1 +143680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.370379351,1 +143681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.777711907,1 +143683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.321020516,1 +143684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.311330048,1 +143685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.563448069,1 +143682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.231500537,1 +143686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.026287676,1 +143687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.729121374,1 +143689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.587910481,1 +143688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.310539999,1 +143690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.669895977,1 +143692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.608396877,1 +143691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.934405927,1 +143693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.947219382,1 +143694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.260535727,1 +143695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.603859681,1 +143696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.671973342,1 +143697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.575161341,1 +143698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.679533785,1 +143700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.570087957,1 +143701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.751007409,1 +143702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.510285784,1 +143699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.264460664,1 +143703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.695351579,1 +143706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.627932811,1 +143704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.720039265,1 +143705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.443743108,1 +143707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.710868178,1 +143708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.498213629,1 +143709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.386705356,1 +143711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.398686516,1 +143712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.2620884,1 +143713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.648024784,1 +143710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.591692879,1 +143714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.592255348,1 +143716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.481245641,1 +143717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.761066897,1 +143718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.73710551,1 +143715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.187904499,1 +143720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.048831364,1 +143719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.391747805,1 +143721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.426951673,1 +143722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.639752719,1 +143724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.816066588,1 +143726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.107645301,1 +143725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.332155097,1 +143727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.65888402,1 +143728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.628820014,1 +143729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,7.266198371,1 +143730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.074227933,1 +143723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.144850058,1 +143732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.598445087,1 +143731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.261425186,1 +143734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.100275979,1 +143735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.069202862,1 +143733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.993749662,1 +143736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.311368123,1 +143737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.967542282,1 +143738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.572871228,1 +143740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.667623455,1 +143739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.478246966,1 +143741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.962386592,1 +143742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.546159759,1 +143743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.285072728,1 +143744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.516583562,1 +143745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,7.375827666,1 +143747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.172971506,1 +143749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.082774536,1 +143746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.775558155,1 +143750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,8.756879426,1 +143748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.425928964,1 +143751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,1.961814431,1 +143752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.757772323,1 +143753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.452981496,1 +143755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.987099786,1 +143754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.50909687,1 +143756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.456428979,1 +143757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.686412506,1 +143758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.041111792,1 +143759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.030215315,1 +143760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.696233646,1 +143762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.253931818,1 +143763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.509761616,1 +143764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.385244897,1 +143761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.131105329,1 +143765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.001462336,1 +143766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.468992021,1 +143767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.516856885,1 +143768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.514915142,1 +143769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.218663407,1 +143770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.654162245,1 +143771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.849846263,1 +143774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.753718559,1 +143775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.729738488,1 +143773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.122642153,1 +143772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.545936778,1 +143776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,7.061796276,1 +143777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.504944138,1 +143778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.745185378,1 +143779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.146283513,1 +143780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.307750261,1 +143782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.06645068,1 +143781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.215615062,1 +143783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.810013117,1 +143784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.628330471,1 +143788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.939676845,1 +143785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.974645157,1 +143786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.816919035,1 +143787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.376077731,1 +143790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.813554826,1 +143789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.957043342,1 +143791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.647498332,1 +143792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.245335041,1 +143793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.413422478,1 +143794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.907408731,1 +143795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.419661954,1 +143797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.647834977,1 +143798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.830561085,1 +143796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.627532601,1 +143799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.397056127,1 +143800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.028896591,1 +143801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.842698942,1 +143803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.177746697,1 +143804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.869629155,1 +143805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.634881146,1 +143802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.78522462,1 +143806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.144772067,1 +143807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.185609689,1 +143808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.243160775,1 +143810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.73310177,1 +143811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.507348682,1 +143809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.641928688,1 +143815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,8.697603896,1 +143813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.627567932,1 +143814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.360638856,1 +143812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.765971943,1 +143817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,1.246009158,1 +143818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.877481194,1 +143819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.31701833,1 +143820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.710449798,1 +143821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.273650106,1 +143816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.947887482,1 +143822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.245455029,1 +143824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.705623626,1 +143823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.968084585,1 +143826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.271735377,1 +143825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.90105048,1 +143827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.251583586,1 +143829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.881301615,1 +143828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.867626741,1 +143830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.997480383,1 +143832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.310323528,1 +143831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.844923386,1 +143833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.200588007,1 +143834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.257139355,1 +143835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.705316311,1 +143836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.935572655,1 +143837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.385350837,1 +143839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.895098953,1 +143840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.807208678,1 +143841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.372391319,1 +143838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.834642648,1 +143843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.038164355,1 +143844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.563682648,1 +143842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.500961636,1 +143845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.243511511,1 +143847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.377953173,1 +143846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.673957814,1 +143848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.322609045,1 +143849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.209712234,1 +143850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.792373524,1 +143851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.998387723,1 +143852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.034467132,1 +143853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.952944309,1 +143854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.606189086,1 +143855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.520458807,1 +143856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.246748957,1 +143858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.663395212,1 +143860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.363205218,1 +143857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.224651874,1 +143859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.789238205,1 +143861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.718745856,1 +143862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.899360591,1 +143864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.528508708,1 +143863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.970905123,1 +143865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.065921518,1 +143866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.252528583,1 +143867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.643856264,1 +143868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.01435931,1 +143869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,1.759407388,1 +143870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.447785085,1 +143871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.727459556,1 +143872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.271881846,1 +143874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.522687247,1 +143873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.460398681,1 +143875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.650703082,1 +143876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.005763383,1 +143877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.251558326,1 +143878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.45306778,1 +143879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.636522957,1 +143880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.737626924,1 +143882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.069438206,1 +143881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.027131631,1 +143883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.418578845,1 +143884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.241220047,1 +143887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.832586288,1 +143885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.310222139,1 +143886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.182558637,1 +143891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.446761882,1 +143889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.034846934,1 +143890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.873267519,1 +143892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.174457506,1 +143894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.50548709,1 +143893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.642497517,1 +143888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.84506725,1 +143895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.127294166,1 +143896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.482809636,1 +143897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.443025358,1 +143899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.978535065,1 +143900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.594652299,1 +143901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.901983122,1 +143898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.340835682,1 +143902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.141061059,1 +143903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.27424066,1 +143905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.4567309,1 +143904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.876094659,1 +143906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.568255535,1 +143907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,8.27644949,1 +143910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.94748764,1 +143908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.513131371,1 +143909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.53945961,1 +143911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.377001927,1 +143912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.707557683,1 +143914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.388519011,1 +143915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.912408676,1 +143916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.87810461,1 +143917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.646184931,1 +143918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.127293185,1 +143913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.400828823,1 +143920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.19617932,1 +143922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.52563257,1 +143919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.967627974,1 +143921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,1.853315637,1 +143923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.827748791,1 +143924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.972418689,1 +143925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.130363647,1 +143926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.71105816,1 +143927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.932423855,1 +143929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.891090792,1 +143930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.417420383,1 +143931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.564811737,1 +143932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.706083378,1 +143933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.93164768,1 +143928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.882131132,1 +143934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.553115259,1 +143937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.21858136,1 +143935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.819993461,1 +143936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.113778777,1 +143938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.315146048,1 +143940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.444812781,1 +143941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.667083129,1 +143939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.093510796,1 +143942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.737629106,1 +143944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.632520026,1 +143943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.257581359,1 +143945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.083839171,1 +143946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.87921033,1 +143947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.718270897,1 +143948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.426990742,1 +143950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.914528392,1 +143949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.574549108,1 +143952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.566592863,1 +143951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.878355676,1 +143953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.997766525,1 +143954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.851050631,1 +143956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.531695005,1 +143955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.837486367,1 +143957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.728957585,1 +143958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.687886497,1 +143959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.135691483,1 +143960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.987276015,1 +143961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.601814615,1 +143962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.339007263,1 +143963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.891969577,1 +143964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.635170077,1 +143966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.578492873,1 +143965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.82732229,1 +143968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,7.383838676,1 +143967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.549291829,1 +143969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.436493508,1 +143971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.92663424,1 +143970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.833206588,1 +143972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.369616789,1 +143973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.104184292,1 +143975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.789452597,1 +143974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.845014006,1 +143976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.145021,1 +143977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.249710616,1 +143978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.13261937,1 +143979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.871122322,1 +143980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.582093035,1 +143981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.045101427,1 +143984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.773019772,1 +143982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.755157586,1 +143983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.510147848,1 +143985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.227062343,1 +143986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,5.394628144,1 +143987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.18521549,1 +143989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.636466192,1 +143990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.580542188,1 +143991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.994273287,1 +143988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,2.975366723,1 +143992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.561769155,1 +143993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,3.004623008,1 +143994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.035595672,1 +143995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.252475968,1 +143996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.117445152,1 +143997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,7.96158186,1 +143999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.63086185,1 +143998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,6.257071956,1 +144000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,4,1,4.157517962,1 +153001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.146583723,1 +153002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.732895635,1 +153003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.839367142,1 +153005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.53661978,1 +153004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.140919679,1 +153006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.241240834,1 +153007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.791305249,1 +153008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.145170548,1 +153010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.483266675,1 +153011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.884148222,1 +153009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.659018452,1 +153012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.200287297,1 +153013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.069710629,1 +153014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.081277034,1 +153016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.351570724,1 +153015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.090276649,1 +153017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.298359294,1 +153018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.74402126,1 +153019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.728949835,1 +153020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.621471977,1 +153021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.286275172,1 +153022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.436913639,1 +153023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.881153821,1 +153024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.109101756,1 +153026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.423855937,1 +153025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.574314455,1 +153027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.330694065,1 +153028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.28283067,1 +153029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.979760154,1 +153030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.479119129,1 +153031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.89507887,1 +153032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.883242823,1 +153034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.099367742,1 +153033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.780399158,1 +153035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.596794687,1 +153036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.403921708,1 +153037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.075171665,1 +153038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,1.928785714,1 +153039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.243633536,1 +153041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.068633328,1 +153043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.936869156,1 +153042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.739555106,1 +153044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.389849501,1 +153045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.769864478,1 +153040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.710742837,1 +153047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.170493878,1 +153046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.361142925,1 +153048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.501614972,1 +153050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.370908931,1 +153049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.409926951,1 +153052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.952952467,1 +153051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.460652782,1 +153056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.520034889,1 +153054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,7.636257773,1 +153053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.12456313,1 +153055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.647894538,1 +153059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.852680061,1 +153058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.227262981,1 +153057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.45440077,1 +153060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.12911865,1 +153061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.361374179,1 +153064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.540251846,1 +153063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.630676221,1 +153065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.113678097,1 +153062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.894009304,1 +153066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.8103416,1 +153067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.152601963,1 +153068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.205853524,1 +153071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.526105819,1 +153069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.264982747,1 +153072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.416817168,1 +153073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.736104927,1 +153070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.32188798,1 +153075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.889594505,1 +153074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.176454127,1 +153077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.06359732,1 +153078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.784018542,1 +153079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.349990848,1 +153080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.109108924,1 +153076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.944056361,1 +153081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.418160232,1 +153083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.796862971,1 +153084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.478282688,1 +153082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.804896358,1 +153085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.391220006,1 +153087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.988869721,1 +153086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.783250951,1 +153088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.322090405,1 +153089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.765925017,1 +153090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.292083266,1 +153091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.666557821,1 +153092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.936740749,1 +153093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.861799474,1 +153095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.968130205,1 +153096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.999681902,1 +153097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.931319603,1 +153098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.406429525,1 +153094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.690122795,1 +153101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.110039474,1 +153102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.882757425,1 +153099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.523106275,1 +153100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.213072664,1 +153104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.452318648,1 +153105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.854197356,1 +153103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.105091376,1 +153106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.109643019,1 +153107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.339777766,1 +153108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.535280302,1 +153109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.998918334,1 +153110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.426356089,1 +153112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.372200361,1 +153113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,7.981460391,1 +153114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.657652626,1 +153111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.001264857,1 +153116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.326090441,1 +153115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.169336767,1 +153118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.778151857,1 +153117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.436425513,1 +153119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.885506047,1 +153120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.517403431,1 +153122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.615958358,1 +153121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.805036036,1 +153124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.467384668,1 +153125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.043624986,1 +153126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.419458636,1 +153123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.945192756,1 +153129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,1.979043471,1 +153128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.900122231,1 +153127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.020213899,1 +153131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.161457589,1 +153130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.138372028,1 +153133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.730277393,1 +153132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,8.57240924,1 +153135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.802101259,1 +153134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.301156382,1 +153136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.269151244,1 +153137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.817206141,1 +153139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.875205852,1 +153140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.790500718,1 +153138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.773013907,1 +153141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.724167592,1 +153142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.270423547,1 +153143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.907664131,1 +153145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.02687776,1 +153146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.872381778,1 +153144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.686116924,1 +153148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.151865131,1 +153147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.109962584,1 +153150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.490626518,1 +153149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.898220497,1 +153151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.038760211,1 +153153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.901704105,1 +153154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.466802445,1 +153155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.323820562,1 +153152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.643061698,1 +153157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.750199267,1 +153156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.119479422,1 +153158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.320741299,1 +153159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.275571193,1 +153160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,1.845171772,1 +153161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.669950389,1 +153162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.911863723,1 +153163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.085554702,1 +153164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.162202144,1 +153165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.553903823,1 +153166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.997959242,1 +153169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.267590467,1 +153168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.915192503,1 +153167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.930423744,1 +153170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.525579652,1 +153171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.513122002,1 +153172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.142026923,1 +153173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.131815263,1 +153174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.401555962,1 +153176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.716161321,1 +153177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.562561574,1 +153175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.934745338,1 +153178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.589965574,1 +153180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.723504372,1 +153179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.150679558,1 +153181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.079327394,1 +153182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,7.706866039,1 +153184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.794323387,1 +153183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.333678954,1 +153185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.156594898,1 +153186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.504813381,1 +153187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.947555186,1 +153188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.689820395,1 +153190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,1.851079619,1 +153189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.56523442,1 +153191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.322312624,1 +153192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.426711827,1 +153194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.603995427,1 +153193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.757512181,1 +153195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.082806328,1 +153197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.719655141,1 +153198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.938401061,1 +153199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.823753089,1 +153196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.776041033,1 +153200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.563394117,1 +153201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.829967917,1 +153202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.563965138,1 +153204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.114414825,1 +153205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.028982938,1 +153206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.137515228,1 +153203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.780569171,1 +153208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.369067945,1 +153210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.309385416,1 +153207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.793928923,1 +153209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.466205555,1 +153211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.115168848,1 +153212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.769868369,1 +153214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.398195416,1 +153213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.672430528,1 +153215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.392803585,1 +153218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.897177823,1 +153217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.103629202,1 +153219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.950641067,1 +153220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.526688658,1 +153221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.89653585,1 +153222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,7.28010793,1 +153216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.545465002,1 +153223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.223708802,1 +153224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.33595175,1 +153226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.205826461,1 +153225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.582781324,1 +153227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.951221998,1 +153228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.68461251,1 +153229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.300173876,1 +153230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.478608015,1 +153231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.144833462,1 +153232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.937933632,1 +153234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.79128466,1 +153235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.037281976,1 +153236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.743430092,1 +153237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,8.537890151,1 +153238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.661887256,1 +153233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.120993329,1 +153239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.701339129,1 +153242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.108386998,1 +153241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.438268144,1 +153240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.298337037,1 +153243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.019835573,1 +153244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.015687732,1 +153245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.451179268,1 +153246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.565719986,1 +153247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.623922522,1 +153249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.289705616,1 +153250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.172313456,1 +153248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.6217634,1 +153251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.192504649,1 +153252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.529607208,1 +153253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,8.247751281,1 +153254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.850315958,1 +153255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.193812437,1 +153256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.285943537,1 +153257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.200015537,1 +153258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.449764982,1 +153259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.217162471,1 +153261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.185912202,1 +153260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.375804615,1 +153263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.639043376,1 +153262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.232326428,1 +153265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.338619692,1 +153264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.488069434,1 +153266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.820853033,1 +153267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.202654798,1 +153269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,7.561884617,1 +153268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.633671961,1 +153270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.17791237,1 +153271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.809324327,1 +153273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.958971093,1 +153272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.487155253,1 +153274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.648118482,1 +153276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.399071103,1 +153277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.512984503,1 +153275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.031394619,1 +153278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.183071154,1 +153279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.281841559,1 +153280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.983147723,1 +153282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.499819569,1 +153281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.757572578,1 +153283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.745842864,1 +153284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.944906299,1 +153286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.955363736,1 +153285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.452891857,1 +153288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.399291984,1 +153287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.627920553,1 +153290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.832226829,1 +153291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.275875181,1 +153292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.18810594,1 +153293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.266933668,1 +153294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.142076392,1 +153295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.369524416,1 +153289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.719732339,1 +153296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.921370566,1 +153297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.501355975,1 +153298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.664078168,1 +153299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.623374924,1 +153301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.556016869,1 +153300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.265544838,1 +153302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.97951333,1 +153303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.969481519,1 +153304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.867627429,1 +153305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.426603696,1 +153306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.813281608,1 +153308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.522648237,1 +153309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.549129316,1 +153310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.976449637,1 +153311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.824556015,1 +153312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.224793985,1 +153307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.048942195,1 +153313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.802480919,1 +153314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.10380094,1 +153315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.589627525,1 +153316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.173021603,1 +153318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.803038586,1 +153317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.194163413,1 +153319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.387071773,1 +153320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.138182852,1 +153321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.435092205,1 +153322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.319030972,1 +153323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.210901005,1 +153325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.230947608,1 +153326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.949944541,1 +153324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.442033876,1 +153327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,7.039189128,1 +153328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.016222304,1 +153329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.655071765,1 +153330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.470475238,1 +153331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.548360906,1 +153332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.902776316,1 +153333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.443416372,1 +153335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.678691378,1 +153334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.512388824,1 +153336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.049438112,1 +153337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.357227325,1 +153338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.896799856,1 +153339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.98032251,1 +153340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.631314224,1 +153341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.34360404,1 +153342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.381275807,1 +153343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.406554977,1 +153344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.868956159,1 +153345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.490652681,1 +153346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.311483165,1 +153347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.915733534,1 +153348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.668204398,1 +153349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.096928835,1 +153350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.588430554,1 +153351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.297889741,1 +153352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.423802035,1 +153353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.904414454,1 +153354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.431934669,1 +153355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.98940228,1 +153356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.56632841,1 +153357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.192466137,1 +153358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.99557283,1 +153359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.992375192,1 +153360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.375550232,1 +153361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.214870606,1 +153362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.97987315,1 +153364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.193862444,1 +153363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.860834558,1 +153365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.952561231,1 +153366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.788415921,1 +153367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.990234131,1 +153368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.691070865,1 +153369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.483428938,1 +153370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.160864752,1 +153371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.95736483,1 +153372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.005040302,1 +153373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.446127022,1 +153374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.20503655,1 +153375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.382330696,1 +153376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.888179981,1 +153377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.836016208,1 +153378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.96525256,1 +153379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.847297132,1 +153380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.492935214,1 +153382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.224159139,1 +153383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.529760007,1 +153384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.148857885,1 +153385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.998212502,1 +153386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.12640222,1 +153387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.059672866,1 +153381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.211444081,1 +153388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.854285446,1 +153389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.31937422,1 +153390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.306917569,1 +153392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.077890334,1 +153393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.121339217,1 +153391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.691317024,1 +153394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,7.397177162,1 +153395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.759528026,1 +153396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.534151363,1 +153397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.454627957,1 +153398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.518634205,1 +153400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.393311982,1 +153399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.028874653,1 +153401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.85204691,1 +153402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.861858109,1 +153403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.329365707,1 +153404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.324925585,1 +153406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.986757009,1 +153407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.306751722,1 +153408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.242597217,1 +153405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.983603528,1 +153409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.742723227,1 +153410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.507615793,1 +153412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.24588658,1 +153411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.848331412,1 +153413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.148425506,1 +153414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.053677068,1 +153416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.800753061,1 +153417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,7.193633219,1 +153415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.197479497,1 +153418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.792728447,1 +153419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.698602465,1 +153420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.526999719,1 +153421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.086822802,1 +153423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.563932576,1 +153422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.970385632,1 +153424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.257074869,1 +153425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.451777,1 +153427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.694349118,1 +153426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.827590513,1 +153428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.347593869,1 +153430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.995465578,1 +153431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.905013764,1 +153429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.642964553,1 +153434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.082394635,1 +153432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.345633013,1 +153433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.351100918,1 +153435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,9.803202027,1 +153436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.299942412,1 +153437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.235884606,1 +153438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.881647857,1 +153439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.529174363,1 +153440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.029243941,1 +153442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.28865825,1 +153441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.551061547,1 +153444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.733483222,1 +153445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.974821461,1 +153446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.587586337,1 +153443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.460372944,1 +153447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.090069161,1 +153448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.838778259,1 +153449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.05090336,1 +153450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.775469835,1 +153452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.355635542,1 +153451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.836972895,1 +153453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,8.01828284,1 +153454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.522167849,1 +153455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.864224149,1 +153457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.355926916,1 +153456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.205035427,1 +153459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.929689291,1 +153460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.051800329,1 +153461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.137019268,1 +153462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.637662151,1 +153463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.706637715,1 +153458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.08536869,1 +153464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.98920998,1 +153465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.327975669,1 +153466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.525746727,1 +153468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.252175406,1 +153470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.300578187,1 +153467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.579479893,1 +153469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.282181285,1 +153473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.512129085,1 +153471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.672081854,1 +153474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.882869754,1 +153472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.875231817,1 +153475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.931178953,1 +153476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.014838885,1 +153478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.328254352,1 +153477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.606461683,1 +153480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.291863808,1 +153481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.218773943,1 +153482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.042779115,1 +153483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.853594355,1 +153484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.076280281,1 +153479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.537982388,1 +153485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.54183539,1 +153486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.762688887,1 +153488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.528358931,1 +153487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.711318021,1 +153489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.867731041,1 +153490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.403580557,1 +153491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.633170355,1 +153492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.361303973,1 +153493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.383974591,1 +153494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.064902979,1 +153496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.116250335,1 +153495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.560076582,1 +153497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.220479142,1 +153498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.741115413,1 +153499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.376859241,1 +153500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.079059233,1 +153501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.674493112,1 +153502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.565586886,1 +153503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.001489426,1 +153504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.470942066,1 +153505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.312329886,1 +153507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.258265258,1 +153506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.870146182,1 +153508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.238424695,1 +153509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.4709396,1 +153510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.974152684,1 +153511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,1.942865894,1 +153513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.128941763,1 +153514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.382728551,1 +153515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.092890708,1 +153512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.315634144,1 +153517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.692352317,1 +153516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.32586198,1 +153518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.303978085,1 +153519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.208941782,1 +153520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.353975207,1 +153521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.107812499,1 +153522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.28538666,1 +153523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.102426808,1 +153524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.151338493,1 +153525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.581074779,1 +153526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.83245354,1 +153528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.815113287,1 +153527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.755453118,1 +153529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.700023356,1 +153530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,1.795593197,1 +153531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.700540982,1 +153532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.554282474,1 +153533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.93008254,1 +153534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.001434664,1 +153535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.300870123,1 +153537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.300838883,1 +153536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.944039547,1 +153538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.1838912,1 +153539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.143511244,1 +153540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.154582336,1 +153542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.866639768,1 +153543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.673316003,1 +153541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.463729132,1 +153544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.019685944,1 +153546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.861650713,1 +153545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.076035455,1 +153547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.000875102,1 +153548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.826040623,1 +153551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.869644773,1 +153549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.627716871,1 +153550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,7.960475229,1 +153552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.582847232,1 +153554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.121664219,1 +153553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.118976207,1 +153556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.414314882,1 +153557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.852333812,1 +153555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,7.810111158,1 +153558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.829053441,1 +153559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,7.011064434,1 +153560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.683955076,1 +153562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.427928333,1 +153561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,8.164832397,1 +153563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.452330068,1 +153564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.259762551,1 +153565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.828254163,1 +153567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.180340035,1 +153568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.114631837,1 +153569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.918585021,1 +153570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.827473463,1 +153571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.637949734,1 +153566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.041666347,1 +153572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,7.249459719,1 +153573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.677955493,1 +153574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.44447862,1 +153576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.406193001,1 +153575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.938676156,1 +153580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.277427545,1 +153578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.699497788,1 +153577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.931018225,1 +153579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.533302871,1 +153581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.103138814,1 +153582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.135927227,1 +153583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.152992572,1 +153584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.257649382,1 +153587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.092088541,1 +153586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.224069756,1 +153588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,7.334282796,1 +153589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.460955479,1 +153590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,1.95660949,1 +153591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.915585592,1 +153585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.557693929,1 +153592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.125737184,1 +153594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.357773826,1 +153593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.154682318,1 +153595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.393119507,1 +153596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.528380008,1 +153597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.887455148,1 +153598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.532184379,1 +153599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.159111389,1 +153600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.408976204,1 +153602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.450421391,1 +153601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.753181694,1 +153603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.85909237,1 +153604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.124501895,1 +153605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.970749585,1 +153606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.174343147,1 +153609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.788899186,1 +153607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.676539451,1 +153608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,1.316538538,1 +153610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.520263088,1 +153611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.099578119,1 +153612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.249832105,1 +153613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.567875669,1 +153614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.749376363,1 +153615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.88565677,1 +153618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.681247786,1 +153616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.868543575,1 +153617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,0.35000038,1 +153619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.488905481,1 +153621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.317109256,1 +153622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.970585075,1 +153620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.657878574,1 +153623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.871810158,1 +153626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.692737724,1 +153625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,7.989913889,1 +153627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.010477822,1 +153624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.744978685,1 +153628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.404385519,1 +153629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.36930226,1 +153630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.186058671,1 +153631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.658515121,1 +153632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.736508904,1 +153633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.406208781,1 +153634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.826190907,1 +153635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.104536346,1 +153636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.884887045,1 +153637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.439947156,1 +153638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.042572727,1 +153639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.150966879,1 +153641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.648981894,1 +153642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.736217801,1 +153644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.164162572,1 +153640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.132218205,1 +153645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.659115022,1 +153647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.50662062,1 +153646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.959666665,1 +153643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.501565024,1 +153648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.163678519,1 +153649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.670374255,1 +153650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,8.285658421,1 +153652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.619550008,1 +153654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.207853778,1 +153653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.905877986,1 +153651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.429513573,1 +153655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.938406279,1 +153657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.006584777,1 +153658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.040685927,1 +153656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.435476709,1 +153659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.513288968,1 +153660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,7.562918038,1 +153662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.034006799,1 +153661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.522068357,1 +153663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.274524399,1 +153664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,7.104950064,1 +153665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.471361077,1 +153667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.89611362,1 +153668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.486299053,1 +153669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.489152104,1 +153666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.134684006,1 +153670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.668121875,1 +153673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.213742028,1 +153671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.37361159,1 +153672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.891638067,1 +153674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.233778527,1 +153676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.566816548,1 +153677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.247225876,1 +153675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.792308967,1 +153678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.936263421,1 +153680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,7.195300808,1 +153679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.628254328,1 +153682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.276151954,1 +153681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.332879139,1 +153683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.852640432,1 +153684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.749630391,1 +153685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.323154468,1 +153688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.52848312,1 +153686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.412131567,1 +153687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.650827368,1 +153689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.579731049,1 +153690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.887330942,1 +153692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.605165584,1 +153693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.793550055,1 +153694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,7.362031438,1 +153695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.485386178,1 +153691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.31442358,1 +153696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.657834396,1 +153698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.827498028,1 +153697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.722325199,1 +153699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.417048829,1 +153700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,8.533855381,1 +153702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.159695558,1 +153703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.544054928,1 +153701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.287221894,1 +153704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.11323469,1 +153705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.637007973,1 +153707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.195944375,1 +153708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.067020701,1 +153706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,7.901692201,1 +153710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.471747362,1 +153709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.270275558,1 +153712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.458110653,1 +153711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.309672879,1 +153713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.097591222,1 +153714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.378365763,1 +153715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.053537056,1 +153716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,0.753466823,1 +153717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.757598884,1 +153718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.384699164,1 +153719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.368010227,1 +153720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.951365116,1 +153722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.639686797,1 +153721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.236055766,1 +153723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.311414894,1 +153724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.162024745,1 +153725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.866666073,1 +153726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,7.076277301,1 +153728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.6339813,1 +153727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.02819986,1 +153729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.355185494,1 +153730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,7.547344355,1 +153732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,7.1943156,1 +153731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,7.194846162,1 +153734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.146489893,1 +153733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.298366335,1 +153736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.083951438,1 +153735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.782802914,1 +153737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.165709672,1 +153738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.665161149,1 +153739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.824453488,1 +153740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.168766039,1 +153741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.850677586,1 +153742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.189354186,1 +153743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.677213006,1 +153745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.874900836,1 +153744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.382371607,1 +153746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.411832929,1 +153748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.003135171,1 +153747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.277532228,1 +153750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.383537794,1 +153751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.733451562,1 +153752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.102915229,1 +153753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.616423437,1 +153749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.404484817,1 +153754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.378605897,1 +153755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.56229781,1 +153756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.350587101,1 +153758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.132928381,1 +153759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.288551364,1 +153760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.836250452,1 +153757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.652295788,1 +153762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.526185819,1 +153761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.768243955,1 +153764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.520350896,1 +153763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.281731729,1 +153766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.801533307,1 +153765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.55099424,1 +153767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.701506952,1 +153768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.008585825,1 +153769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.939419895,1 +153770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.387612741,1 +153772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.850432106,1 +153773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.667898209,1 +153774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.430647838,1 +153775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.540718217,1 +153776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.908657751,1 +153777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.073403681,1 +153771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.684198016,1 +153778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.709942194,1 +153781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.857924855,1 +153779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.197979466,1 +153780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.47737628,1 +153782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.346432349,1 +153784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.697408931,1 +153783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.327198058,1 +153785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.004713453,1 +153786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.670834755,1 +153787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.502213674,1 +153788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.296077389,1 +153789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.195274115,1 +153790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.655288796,1 +153791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.340183722,1 +153793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.254016366,1 +153792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.418893168,1 +153794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.111133185,1 +153795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.36655421,1 +153796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.330522758,1 +153797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.718536964,1 +153799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.408426919,1 +153800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.413027846,1 +153798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.20128359,1 +153801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.648989711,1 +153803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.292505649,1 +153802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.893650307,1 +153804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,7.094467592,1 +153806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.542837857,1 +153807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.53644476,1 +153808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.646820707,1 +153805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.883876937,1 +153809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.513926926,1 +153812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.205671221,1 +153811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.499233256,1 +153810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.530940963,1 +153813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.691452566,1 +153814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.987109442,1 +153815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.559677127,1 +153816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.8393632,1 +153817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,1.986243378,1 +153818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.446623457,1 +153820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.511376569,1 +153819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.323377593,1 +153821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.638469126,1 +153822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.184671669,1 +153823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.883997525,1 +153824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.418975675,1 +153825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.440171787,1 +153827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.058047164,1 +153828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.992321424,1 +153826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.355159396,1 +153829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.150550594,1 +153831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.024138589,1 +153830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.091725833,1 +153833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.549116435,1 +153832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.954628875,1 +153834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.74434664,1 +153835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.668518054,1 +153836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.029924688,1 +153837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,8.217815666,1 +153839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.150701837,1 +153838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.067738594,1 +153840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.916679183,1 +153842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.761950194,1 +153843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.84125284,1 +153844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.458213506,1 +153841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.093269881,1 +153845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,7.721141406,1 +153846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.189332277,1 +153847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.138859782,1 +153849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,7.335232487,1 +153850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.777065309,1 +153848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.350066479,1 +153851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.715666439,1 +153852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.835388584,1 +153853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.77742527,1 +153855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.9707454,1 +153854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.975269014,1 +153856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.267489166,1 +153858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.082760773,1 +153857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,8.063151753,1 +153859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.951832745,1 +153860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.233480563,1 +153861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.872305572,1 +153862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.036532711,1 +153864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.054322423,1 +153865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.438543062,1 +153866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.91942599,1 +153863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.755593733,1 +153867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.597734726,1 +153868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.228535145,1 +153869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,1.911837434,1 +153871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.78259072,1 +153870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.714681608,1 +153873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.870526805,1 +153874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.650287395,1 +153875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.28350862,1 +153876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.218866519,1 +153877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.377222692,1 +153878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.095420303,1 +153872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.546178645,1 +153879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.005173695,1 +153880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.220574869,1 +153882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.989651301,1 +153883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.480322704,1 +153881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.271833477,1 +153885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.378559236,1 +153884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.341323802,1 +153888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.043373843,1 +153886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.010158347,1 +153887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,7.396274532,1 +153889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.219452295,1 +153891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.154923981,1 +153892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.0515112,1 +153893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.05315794,1 +153894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.168764482,1 +153890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.557175934,1 +153896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.420248855,1 +153895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.638920852,1 +153897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.416283923,1 +153898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.245605427,1 +153899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.628348899,1 +153900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.362207273,1 +153902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.725306989,1 +153903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.883744478,1 +153901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.828532653,1 +153904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.597815335,1 +153905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.541805952,1 +153906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.163300524,1 +153907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.346055543,1 +153908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.589815198,1 +153910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.320980706,1 +153911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.518867956,1 +153909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,1.620241136,1 +153913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.507722956,1 +153912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.338232464,1 +153914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.298918802,1 +153915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.317189706,1 +153917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.179178552,1 +153918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.140842838,1 +153916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.911613516,1 +153919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.831404517,1 +153921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.472424997,1 +153922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.588868276,1 +153920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.765738817,1 +153923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.74345832,1 +153924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.751481662,1 +153925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.347715457,1 +153926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.056969281,1 +153928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.557330932,1 +153929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.559258609,1 +153927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.55240868,1 +153930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,1.772295922,1 +153931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.413942587,1 +153934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.532268947,1 +153933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.813156336,1 +153932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.292797245,1 +153937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.544626859,1 +153935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.134504535,1 +153938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.213709025,1 +153939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.776351211,1 +153936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.854231089,1 +153940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,7.517199069,1 +153941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.945427343,1 +153942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.810451751,1 +153943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.524070822,1 +153944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.443374894,1 +153945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.416664355,1 +153948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.05258224,1 +153947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.65079303,1 +153949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.758247247,1 +153946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.015196494,1 +153951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.132504628,1 +153950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.166672356,1 +153952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.455919249,1 +153953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.094201623,1 +153955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.981179313,1 +153954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.728031541,1 +153956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.296615858,1 +153957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.399262103,1 +153958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.315643541,1 +153959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.86001865,1 +153960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.541595957,1 +153961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,7.083071446,1 +153962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.524238683,1 +153963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.951891112,1 +153964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.876974827,1 +153965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.56906624,1 +153966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.720250596,1 +153968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.28009624,1 +153969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.19743128,1 +153970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.644969362,1 +153967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.539464594,1 +153971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.343225221,1 +153972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,6.139693896,1 +153973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.334353344,1 +153976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.690301642,1 +153975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.794798509,1 +153977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.79981921,1 +153974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.842952248,1 +153978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.335300332,1 +153979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.758493939,1 +153980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.451229531,1 +153981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.520232821,1 +153982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.382201328,1 +153983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.845487165,1 +153985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,1.292200254,1 +153984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,2.332565811,1 +153986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.908387033,1 +153987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,3.719096832,1 +153990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.364250196,1 +153989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.637115337,1 +153991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.73436315,1 +153993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.719593499,1 +153988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.526031355,1 +153992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.097105853,1 +153994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.859823915,1 +153995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,1.344198704,1 +153996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.446386108,1 +153997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.556855362,1 +153998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.962092136,1 +153999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,4.199481991,1 +154000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,4,1,5.533011665,1 +163002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,7.488861659,1 +163003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.328246288,1 +163004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.133951592,1 +163005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.612871813,1 +163006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.276451303,1 +163001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.615573918,1 +163007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.313372551,1 +163009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.683789133,1 +163008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.502308462,1 +163010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.399365613,1 +163011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.838103348,1 +163012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.213812428,1 +163013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.434389478,1 +163014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.213284017,1 +163015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.451758607,1 +163016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,7.075245244,1 +163017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.143953173,1 +163018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.512897964,1 +163019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.665987955,1 +163020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.73170449,1 +163021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.184397936,1 +163023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.596670561,1 +163022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.601025215,1 +163025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.934611672,1 +163024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.844403149,1 +163026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.239903239,1 +163028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,8.109018521,1 +163027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.120917054,1 +163029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.574236112,1 +163030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.479094013,1 +163031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.101756666,1 +163033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.870306823,1 +163032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.928473168,1 +163034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.795692865,1 +163035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,1.959960611,1 +163036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,0.900709416,1 +163037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.726922976,1 +163038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.192676254,1 +163039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.419750461,1 +163040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.748185497,1 +163041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.946880537,1 +163042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.349579497,1 +163043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.331239654,1 +163044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.084108286,1 +163046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.705740298,1 +163045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.181973169,1 +163048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.137182377,1 +163047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.060581438,1 +163049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.819322856,1 +163052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.295099487,1 +163051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.539461858,1 +163050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.208836683,1 +163053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.803386004,1 +163054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.868398992,1 +163055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.793629368,1 +163057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,7.373251345,1 +163058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.976023405,1 +163059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.361457951,1 +163056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,7.579477855,1 +163060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.857990623,1 +163061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.512252519,1 +163062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.793176146,1 +163063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.566197742,1 +163065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.921907405,1 +163064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.434774818,1 +163066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.353349969,1 +163069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.453667004,1 +163067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.77921912,1 +163068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.729324235,1 +163070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.367653272,1 +163072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.502063008,1 +163071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.426961915,1 +163073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,1.655085296,1 +163076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.1041661,1 +163075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.700069722,1 +163077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.995937121,1 +163074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.329159005,1 +163078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.01647169,1 +163080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.643510171,1 +163079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.628935525,1 +163081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.829481503,1 +163082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.358003147,1 +163084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.248865534,1 +163083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.116854206,1 +163085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.833429324,1 +163086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.008029981,1 +163087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.503024886,1 +163089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,9.220161017,1 +163088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.053733692,1 +163090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.944158666,1 +163093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.112530495,1 +163092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.161038817,1 +163094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.769002982,1 +163095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.785785566,1 +163091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.25957257,1 +163097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.840735777,1 +163096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.595066924,1 +163101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.221918266,1 +163099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,7.206846874,1 +163098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.647621887,1 +163100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,1.511900304,1 +163102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.810059349,1 +163104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.112022706,1 +163103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.372597216,1 +163105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.432714983,1 +163106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.742028349,1 +163108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.56681146,1 +163109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.053162959,1 +163110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.323886753,1 +163107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.416296293,1 +163111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.856547952,1 +163112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.574187552,1 +163116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.177167659,1 +163113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,1.447056552,1 +163114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.33184356,1 +163115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.840814674,1 +163117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.407559733,1 +163118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.059527661,1 +163119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.877769454,1 +163120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.897548824,1 +163121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.533594375,1 +163124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.893436079,1 +163122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.533840969,1 +163123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.316407004,1 +163126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.850842306,1 +163127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.216113215,1 +163128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.779707684,1 +163130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.104707995,1 +163125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.425480235,1 +163129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.645272547,1 +163131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.371379433,1 +163133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.852196728,1 +163132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.239888396,1 +163134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.683679501,1 +163136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.227480655,1 +163135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.845389747,1 +163138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.271896856,1 +163137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.232645359,1 +163139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.261202979,1 +163140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.812027858,1 +163141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,9.256614236,1 +163142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.405670521,1 +163143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.680073211,1 +163146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.241813319,1 +163145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.201900458,1 +163144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.990373436,1 +163147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.200014045,1 +163148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.742164047,1 +163149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.602626004,1 +163150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.523015731,1 +163151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.234797725,1 +163152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.462823454,1 +163153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.478785855,1 +163154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.849007568,1 +163155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.339787075,1 +163156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.041889044,1 +163157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.279215295,1 +163160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.745038752,1 +163159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.997596801,1 +163158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,7.779699098,1 +163161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.656487208,1 +163162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.504834955,1 +163163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.534178837,1 +163164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,1.404119945,1 +163165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.604688563,1 +163167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.791672002,1 +163166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,7.460944118,1 +163168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.585783965,1 +163169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.685066592,1 +163170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.33944848,1 +163171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.2218057,1 +163173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.338120084,1 +163175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.671311018,1 +163172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.205278342,1 +163174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.347378966,1 +163176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.122199604,1 +163179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.244839506,1 +163178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.678100996,1 +163180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.738051386,1 +163181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.397721316,1 +163177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.594496983,1 +163182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.805128593,1 +163183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.252175929,1 +163184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.480524086,1 +163186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.205131376,1 +163187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.802216172,1 +163188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.613075477,1 +163185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.646318519,1 +163192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.214211476,1 +163190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.128230207,1 +163191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,1.607189861,1 +163189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.277285897,1 +163193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.20535993,1 +163194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.14770088,1 +163195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.213058817,1 +163196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.8620939,1 +163198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.219936638,1 +163199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,7.317425755,1 +163200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.609956076,1 +163197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,7.46054365,1 +163201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.100558467,1 +163202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.834978765,1 +163205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.899711537,1 +163203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.801760274,1 +163204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.785831834,1 +163208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.220083945,1 +163209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.662737125,1 +163206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.783797402,1 +163207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.030142398,1 +163211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.897759071,1 +163210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.199419054,1 +163213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.423791208,1 +163212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.741163125,1 +163217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.870679861,1 +163216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.936965459,1 +163215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.352279098,1 +163214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.693093754,1 +163219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.538661767,1 +163218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.007926701,1 +163220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.793120366,1 +163221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.649906537,1 +163223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.062206971,1 +163222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.225382102,1 +163224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.270383668,1 +163225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.165177532,1 +163226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.456635683,1 +163227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,1.250930637,1 +163228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.926136231,1 +163229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.106549318,1 +163230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.484606375,1 +163232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.039857153,1 +163231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,1.933314682,1 +163233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.57748082,1 +163234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.47526516,1 +163236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.161572056,1 +163237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.345952174,1 +163238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.972328958,1 +163235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.634846074,1 +163240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.738272128,1 +163239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.163959278,1 +163242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.476321927,1 +163241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.028358999,1 +163243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,7.13099546,1 +163244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,1.525721015,1 +163245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.856829999,1 +163247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.698452129,1 +163246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.92610478,1 +163248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.636474622,1 +163249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.021562614,1 +163250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.519021776,1 +163251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.940022107,1 +163252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.973729726,1 +163255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.481261188,1 +163254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.900157165,1 +163253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.089001847,1 +163258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.857914203,1 +163259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.222106407,1 +163256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.713738772,1 +163260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.258543246,1 +163261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.724701893,1 +163262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.079978287,1 +163257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.457657652,1 +163264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.445246483,1 +163263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.884526907,1 +163265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.911488767,1 +163266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.928133743,1 +163267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.936434525,1 +163268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.433026301,1 +163270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.969974063,1 +163269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.047959563,1 +163271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.00854563,1 +163272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.949483733,1 +163273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.249212256,1 +163275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,1.774682482,1 +163276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.386913118,1 +163278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.060024691,1 +163274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.689267771,1 +163279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.656295796,1 +163281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.376441954,1 +163277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.943772213,1 +163280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,8.077943017,1 +163282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.982673985,1 +163283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.258701615,1 +163284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,8.121569206,1 +163285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.810563431,1 +163286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.592921114,1 +163288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,7.93322908,1 +163289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.591657338,1 +163290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.546450046,1 +163291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.219280711,1 +163287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.921750258,1 +163292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.361625347,1 +163293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.648539228,1 +163295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.858907818,1 +163296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.963329738,1 +163297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,7.085946022,1 +163294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.554513334,1 +163301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.864014492,1 +163299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.016416345,1 +163298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.092406922,1 +163300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.151869376,1 +163302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.329534636,1 +163303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.007238824,1 +163304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.548549958,1 +163305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.753818397,1 +163307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.818797205,1 +163306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.200628747,1 +163309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.788332615,1 +163310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.534053021,1 +163308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.557198008,1 +163312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.463206769,1 +163311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.607752599,1 +163313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.732698457,1 +163316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.766363586,1 +163314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.015599056,1 +163315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.738098803,1 +163317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.151218492,1 +163318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.692614693,1 +163320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.165243261,1 +163319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.353579503,1 +163321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.659928607,1 +163322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,7.979723838,1 +163323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.775068547,1 +163325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.150519971,1 +163324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.627936399,1 +163327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.654773666,1 +163326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.663105627,1 +163328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.818607179,1 +163329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.390742247,1 +163330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.551852842,1 +163331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.26701697,1 +163332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.846726916,1 +163333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.6131191,1 +163334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.405435044,1 +163335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.607145305,1 +163336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.688833386,1 +163337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.261164959,1 +163338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.889618526,1 +163339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.836726162,1 +163340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.564617541,1 +163342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.958938178,1 +163343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.983366533,1 +163341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.187876972,1 +163344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.711053464,1 +163345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.648996579,1 +163347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.599234579,1 +163346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.960275262,1 +163348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.730734383,1 +163351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.134833304,1 +163349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.846463687,1 +163350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.197245566,1 +163352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.053766272,1 +163353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.310465416,1 +163354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.327983518,1 +163356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.696776124,1 +163355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.812125774,1 +163357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.821751951,1 +163358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.824033592,1 +163359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.801116252,1 +163361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.740044937,1 +163360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.656058513,1 +163362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.00632036,1 +163363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.200804642,1 +163364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.876446683,1 +163365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.717031558,1 +163366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.605696849,1 +163367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.045681873,1 +163370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.123820509,1 +163369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.666872845,1 +163368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.734096066,1 +163371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.507028781,1 +163372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.918461391,1 +163373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,8.306839387,1 +163374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.671821939,1 +163377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,7.009678079,1 +163375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.950860874,1 +163376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.182921142,1 +163378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.768228213,1 +163380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.919023487,1 +163379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.600308325,1 +163381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,8.368318886,1 +163382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.76394814,1 +163383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.665888803,1 +163384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.394222823,1 +163385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.428661781,1 +163386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.013725134,1 +163387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.447244108,1 +163389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.2370731,1 +163388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.548744837,1 +163390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.428225221,1 +163393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.067869191,1 +163391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.436232498,1 +163392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.493051342,1 +163396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.39877936,1 +163397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.301658264,1 +163394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.254055912,1 +163398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.332917705,1 +163395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.382077308,1 +163399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.471042298,1 +163400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.585363294,1 +163401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.605145596,1 +163403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.458289569,1 +163404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.795006536,1 +163402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.932999557,1 +163405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.733612228,1 +163406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.785662131,1 +163408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.413661315,1 +163409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.039661358,1 +163407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.847159027,1 +163410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.5556316,1 +163411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,8.611111566,1 +163412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.954613216,1 +163413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.556070803,1 +163414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.498066354,1 +163416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.593275546,1 +163417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.51726758,1 +163418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.688447406,1 +163415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.896411486,1 +163419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.82407076,1 +163420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.82797666,1 +163422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.89630853,1 +163421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.428551945,1 +163423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.094201368,1 +163425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.576719231,1 +163424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.250072037,1 +163427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.14536183,1 +163428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.210689988,1 +163426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.544067238,1 +163429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.89906931,1 +163430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.159801478,1 +163432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.651357662,1 +163433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.829213162,1 +163434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.053989358,1 +163435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.822099299,1 +163431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.729299546,1 +163436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.463040064,1 +163438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.925544309,1 +163439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.287733248,1 +163437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.342246911,1 +163440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.294238282,1 +163441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.531049167,1 +163442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,7.043759399,1 +163443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.763972968,1 +163444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.747867902,1 +163445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.319581587,1 +163446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.395928718,1 +163447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.889789706,1 +163448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.400198886,1 +163449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.111956247,1 +163451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.835451969,1 +163450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.234487332,1 +163453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.73577063,1 +163452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.887564415,1 +163454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.760602709,1 +163455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.104834071,1 +163456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.178347173,1 +163457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.373076798,1 +163459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.605335453,1 +163458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.388791092,1 +163460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.642963312,1 +163461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.640466732,1 +163463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.498616973,1 +163462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.942705501,1 +163464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.272897653,1 +163465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.592467058,1 +163466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.899271704,1 +163468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,7.142372731,1 +163467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.532274358,1 +163470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.2634557,1 +163471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.559435344,1 +163472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.239664853,1 +163473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.999449427,1 +163474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.806228052,1 +163475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.991214361,1 +163476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.202700265,1 +163469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.162998612,1 +163477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.740767438,1 +163478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.183624487,1 +163479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,7.81988256,1 +163481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.483850385,1 +163480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.811341088,1 +163482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,9.68732238,1 +163485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.077044049,1 +163483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.49302045,1 +163484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.124023266,1 +163487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.976971133,1 +163486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.744580354,1 +163488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.47682264,1 +163489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.433430673,1 +163491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.050526352,1 +163492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,7.303555602,1 +163493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.296269528,1 +163494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.546335768,1 +163495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.520310045,1 +163496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.59047571,1 +163490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.502800885,1 +163497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.447584771,1 +163498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.922315753,1 +163499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.890231797,1 +163500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.867895575,1 +163501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.535411695,1 +163502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.574382368,1 +163503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.064893079,1 +163504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.84906397,1 +163505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.170160841,1 +163506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.855080217,1 +163507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.019780981,1 +163508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.961893003,1 +163510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,1.851655626,1 +163509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.474829051,1 +163511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.921513429,1 +163513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.974022078,1 +163514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.388844993,1 +163515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.950452656,1 +163517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.95760961,1 +163516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.505481671,1 +163512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.110650655,1 +163518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.946245171,1 +163520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.077484744,1 +163519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.345970453,1 +163521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.222107291,1 +163522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.842159685,1 +163523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.275857979,1 +163524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.512656557,1 +163526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.757702977,1 +163525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.607067119,1 +163527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.712993717,1 +163528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.517127711,1 +163529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.15218927,1 +163530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.793061828,1 +163531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.861751723,1 +163532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,7.761723593,1 +163534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.429642639,1 +163536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.162618908,1 +163535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.083675856,1 +163533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.499278286,1 +163539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.332081501,1 +163540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.828630861,1 +163538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.044115772,1 +163537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.321722503,1 +163541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,1.527143277,1 +163542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.740783885,1 +163543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.157577906,1 +163544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.578138622,1 +163545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.439756125,1 +163547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.308098673,1 +163546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.72106691,1 +163549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.671597506,1 +163550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.608790778,1 +163551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,8.571810444,1 +163548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.363475185,1 +163552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.856629949,1 +163553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.655551603,1 +163554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,7.598036526,1 +163556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.201927083,1 +163557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,7.721052627,1 +163558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,8.0918524,1 +163555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.42328294,1 +163560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.31941056,1 +163559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.379127843,1 +163562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.997352413,1 +163563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.788970648,1 +163561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.972536438,1 +163564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.641335288,1 +163565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.713998604,1 +163566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.684981312,1 +163568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.854528489,1 +163567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.571733002,1 +163571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.312931875,1 +163570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.264312147,1 +163572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.882589795,1 +163573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.2330735,1 +163574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.889079364,1 +163569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.889540762,1 +163575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.867572877,1 +163578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,10.47950185,1 +163579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.929149927,1 +163576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.061326218,1 +163577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.335412529,1 +163582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.118070629,1 +163581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.374773033,1 +163580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.566363695,1 +163583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.477837605,1 +163585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.836096481,1 +163584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.437971542,1 +163587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.076866878,1 +163588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.007427128,1 +163589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.358354746,1 +163586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.387820361,1 +163590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.432833513,1 +163591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.719890411,1 +163594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.2665094,1 +163593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.230926343,1 +163592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.641768467,1 +163595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.621300387,1 +163596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.489510025,1 +163598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.104440535,1 +163597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.831333684,1 +163599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.908268699,1 +163601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,9.330879936,1 +163600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.566763661,1 +163602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.361213311,1 +163603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,7.413998169,1 +163605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.110996083,1 +163604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.283783152,1 +163607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.180708603,1 +163606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.960192341,1 +163609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.320239559,1 +163608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.137116113,1 +163610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.775263471,1 +163611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.227007406,1 +163613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.47212524,1 +163612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.171934748,1 +163614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.825263172,1 +163615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.751075739,1 +163617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.850650917,1 +163616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.302027464,1 +163618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,1.58155004,1 +163619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.076655756,1 +163620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.293343718,1 +163621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.62417955,1 +163622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.803736456,1 +163625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.757355442,1 +163624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.384401741,1 +163623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.565247331,1 +163626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.213829647,1 +163628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.460906546,1 +163629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.904911196,1 +163630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.952526457,1 +163631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.723831108,1 +163632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.995543562,1 +163633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.072444806,1 +163627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.804349709,1 +163634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.645003344,1 +163636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.665391358,1 +163635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.930030208,1 +163637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,8.185147349,1 +163638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.738607172,1 +163641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.634392366,1 +163639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.552524479,1 +163642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.111289602,1 +163640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.647347663,1 +163643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.467897621,1 +163644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.058705887,1 +163645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.204980178,1 +163646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.835672747,1 +163648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.138341183,1 +163649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.77328545,1 +163650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.472316657,1 +163651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.239999778,1 +163652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.000751195,1 +163647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,1.916543858,1 +163653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.533599462,1 +163654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.313441416,1 +163656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.959648486,1 +163655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.683926886,1 +163658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.056780102,1 +163659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.510408118,1 +163657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.859812645,1 +163660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.210189614,1 +163661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.251019399,1 +163662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,7.820785454,1 +163664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.87938337,1 +163663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.274581925,1 +163667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.534745473,1 +163665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.825361739,1 +163668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.117105478,1 +163666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.348697739,1 +163669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.302075473,1 +163670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.374599303,1 +163672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.496565374,1 +163673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.596395416,1 +163671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.601576924,1 +163674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.779904059,1 +163675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.014641054,1 +163676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.380405029,1 +163677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.537332052,1 +163678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.86235449,1 +163679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.095773074,1 +163680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.632570214,1 +163681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.630660941,1 +163682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.803788404,1 +163684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.807749664,1 +163683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.036729402,1 +163685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.098711311,1 +163686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.107820871,1 +163687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.021611516,1 +163688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.218775704,1 +163690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.486407813,1 +163691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.659302932,1 +163692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.661172169,1 +163693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.306165815,1 +163694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,7.956206546,1 +163695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.918771071,1 +163696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.467309019,1 +163697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.879304584,1 +163689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.278299142,1 +163698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.106808744,1 +163699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.82579408,1 +163701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.665047486,1 +163700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.748131476,1 +163702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.616067653,1 +163704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.456649876,1 +163703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.089708891,1 +163705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.342308358,1 +163706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.394737775,1 +163708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.266065863,1 +163707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.229834658,1 +163709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.826481962,1 +163710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.787299043,1 +163712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.079075563,1 +163713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.131664341,1 +163714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.229125861,1 +163715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.372725817,1 +163716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.272387717,1 +163711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.138731434,1 +163717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.049928939,1 +163718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.003685445,1 +163719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.824951109,1 +163720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.307326512,1 +163721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.479577859,1 +163722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.897851064,1 +163724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.309830947,1 +163723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.92327526,1 +163725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.1719271,1 +163726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.097550347,1 +163727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,8.526027612,1 +163729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.839211633,1 +163728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.999300041,1 +163731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.166440999,1 +163730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.363135509,1 +163732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,9.200136771,1 +163733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.802788292,1 +163735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.027526739,1 +163734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.076174733,1 +163736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.813662642,1 +163738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.826819747,1 +163737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.287921807,1 +163739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.715022991,1 +163740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.816014602,1 +163741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.133917183,1 +163743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.678115487,1 +163744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.301692383,1 +163742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.814003751,1 +163747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.91125128,1 +163745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.148657504,1 +163746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.661847528,1 +163748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.449125007,1 +163750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.483013895,1 +163749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.573302335,1 +163751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.860726371,1 +163752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.551348579,1 +163753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.658164756,1 +163754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.689390589,1 +163755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.835861329,1 +163756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.107377615,1 +163757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.259811223,1 +163758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.75597601,1 +163759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.105657584,1 +163760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.918499053,1 +163762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.956118376,1 +163761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.133528907,1 +163766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.966163873,1 +163765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,7.459780919,1 +163764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.430185719,1 +163767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.152436573,1 +163768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.471677922,1 +163763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.377994543,1 +163769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.031676911,1 +163770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.945113493,1 +163771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.566827898,1 +163773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.123154812,1 +163772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.965530222,1 +163774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.62483372,1 +163775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.896827399,1 +163777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,7.623085559,1 +163776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.798760619,1 +163778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.839860165,1 +163779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.265649067,1 +163780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.663725398,1 +163782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.723351363,1 +163783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.941239772,1 +163781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.137890813,1 +163784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.375652312,1 +163785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,7.315357659,1 +163786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.259758315,1 +163787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.49833706,1 +163789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.181173092,1 +163790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.374698186,1 +163791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.507655765,1 +163788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.21209279,1 +163792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.860016781,1 +163793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.826366119,1 +163795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.157274364,1 +163794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.829856555,1 +163796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.444974946,1 +163797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.500670114,1 +163798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.241262314,1 +163799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.921844995,1 +163800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.081480634,1 +163801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.574681851,1 +163802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.323034382,1 +163804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.194457853,1 +163803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.539869433,1 +163805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.460756032,1 +163808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.314144504,1 +163807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.330763243,1 +163806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.612792093,1 +163809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.702573361,1 +163811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.568078757,1 +163813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.778512649,1 +163812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.913931733,1 +163814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.772301392,1 +163815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.948595595,1 +163816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.936677983,1 +163810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.612166563,1 +163817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.233062445,1 +163818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.311540107,1 +163819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.623219955,1 +163820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.908725871,1 +163821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.357281228,1 +163822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.375873583,1 +163823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.483140397,1 +163824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.883292048,1 +163826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.822035833,1 +163825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,7.538490248,1 +163827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.773737743,1 +163828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.898073219,1 +163830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.593191544,1 +163829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.16222028,1 +163831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.235148218,1 +163833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.197737474,1 +163834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.021244881,1 +163835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,8.004752226,1 +163836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.567529444,1 +163837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.383388617,1 +163832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.745689042,1 +163838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.995304673,1 +163839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.580178198,1 +163841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,1.366502399,1 +163840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.749447299,1 +163842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.313821888,1 +163843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.946380252,1 +163844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.040756598,1 +163845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,7.864919289,1 +163846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.387155218,1 +163847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.180224105,1 +163849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.995213835,1 +163848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.152007333,1 +163850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.646811629,1 +163851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,7.265049895,1 +163852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.299036596,1 +163854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.997835187,1 +163855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.427061813,1 +163856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.103964634,1 +163853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.587360115,1 +163858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.807329431,1 +163859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.700987594,1 +163857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.848208752,1 +163860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.309219517,1 +163861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,1.996290146,1 +163863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.566820921,1 +163862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.384008769,1 +163864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,1.647951099,1 +163865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.823039791,1 +163866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.836105083,1 +163867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.818075842,1 +163868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.458148458,1 +163869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.884821152,1 +163870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.768911636,1 +163872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.243322959,1 +163873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.698342142,1 +163871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.901463344,1 +163874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.011899461,1 +163876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.783823582,1 +163878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.30239274,1 +163875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.975763596,1 +163877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.176621193,1 +163879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.094586735,1 +163880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,7.497929972,1 +163881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.067964436,1 +163882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.106831586,1 +163884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.96447777,1 +163883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,0.660081581,1 +163885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.393282898,1 +163886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.625312509,1 +163888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.138914464,1 +163887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,1.763100075,1 +163889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.35399351,1 +163890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.734937558,1 +163891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.696247243,1 +163892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.014047741,1 +163894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.341970768,1 +163895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.249217634,1 +163896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.970649507,1 +163893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.310636547,1 +163900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.639714175,1 +163898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.205805624,1 +163897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.330099039,1 +163899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.364155051,1 +163901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.890167265,1 +163903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.338201763,1 +163902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.783362621,1 +163904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.253218014,1 +163905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.124695899,1 +163908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.148820532,1 +163907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.805358818,1 +163906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.817681059,1 +163910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.137365167,1 +163911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.844655179,1 +163912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.532739213,1 +163913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.663914125,1 +163909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.90513434,1 +163914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.019414984,1 +163915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.537376869,1 +163917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.866722818,1 +163916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.950202297,1 +163918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.581589271,1 +163919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.986775433,1 +163920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.039966428,1 +163921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.421719113,1 +163922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.93097099,1 +163923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.373144366,1 +163925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,8.066200686,1 +163926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.83675929,1 +163927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.928442455,1 +163924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.701080014,1 +163928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,7.229612248,1 +163931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.876439334,1 +163929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.566604244,1 +163930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.418395419,1 +163933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,7.927877783,1 +163932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.3867421,1 +163934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.749963775,1 +163935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.937924826,1 +163938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.64011957,1 +163937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.854673169,1 +163939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.6538293,1 +163940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.671801492,1 +163941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.549486161,1 +163942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.008648707,1 +163936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.925185312,1 +163944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.138928858,1 +163946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.392260421,1 +163945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.221651392,1 +163948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.316968338,1 +163943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.410745513,1 +163947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.557409167,1 +163949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.999684408,1 +163951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.316856954,1 +163950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.996158922,1 +163952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.79713575,1 +163953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.310561494,1 +163954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.364057763,1 +163955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.127454001,1 +163956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.351253124,1 +163957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.671798262,1 +163958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.097602732,1 +163959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.971702678,1 +163960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.94561349,1 +163961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.777214372,1 +163963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,1.318472902,1 +163962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.591925814,1 +163964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.52238774,1 +163965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,2.700782438,1 +163966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.634005643,1 +163967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.149960919,1 +163968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.083383677,1 +163969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.258933675,1 +163970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.687911492,1 +163971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.056317057,1 +163972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.861921209,1 +163973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.302768768,1 +163974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.471767928,1 +163976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.901182233,1 +163977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.623139567,1 +163975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.039814972,1 +163979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.35399408,1 +163980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.574691371,1 +163978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.184018121,1 +163981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.250415037,1 +163982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.143899903,1 +163983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.460470558,1 +163984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.617323109,1 +163985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.432167059,1 +163986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.451093972,1 +163987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.04190722,1 +163989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,5.101271773,1 +163988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.249943932,1 +163991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.059810058,1 +163990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.811467038,1 +163993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.830940124,1 +163994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,6.05400763,1 +163995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.05779009,1 +163992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.042051851,1 +163998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.029701361,1 +163997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.161774553,1 +163999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,4.67498383,1 +164000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.652301603,1 +163996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,4,1,3.98738284,1 +173001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.713367709,1 +173002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.427943044,1 +173003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.007984485,1 +173004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.05501957,1 +173005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.847285402,1 +173006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.438963472,1 +173007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.552233371,1 +173008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.171131447,1 +173009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,8.671740332,1 +173010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.740735906,1 +173011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.758631686,1 +173012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.318996113,1 +173013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.327451551,1 +173014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.024047222,1 +173015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.616070588,1 +173016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.996758494,1 +173018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.051358843,1 +173019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.376436398,1 +173017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.563897695,1 +173020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.035691051,1 +173021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,8.187310408,1 +173023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.777472323,1 +173024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.126484767,1 +173022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.856171348,1 +173025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.216272811,1 +173027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.892900538,1 +173028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.034942557,1 +173026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.822228575,1 +173029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.039877704,1 +173031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.740513708,1 +173030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.490507779,1 +173032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.708748041,1 +173034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.044556907,1 +173033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.003840189,1 +173035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.190098877,1 +173038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,8.457987672,1 +173039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.525378855,1 +173037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,9.00502046,1 +173040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.320780844,1 +173041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.060073106,1 +173042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.935758164,1 +173036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.827713556,1 +173043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.233695845,1 +173044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.5316174,1 +173045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.396841818,1 +173046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.83058457,1 +173048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.486841312,1 +173049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.048184038,1 +173047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.065344635,1 +173051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.75151964,1 +173052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.08820356,1 +173053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.51717272,1 +173050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.265943985,1 +173054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.592399582,1 +173055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.640849339,1 +173056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.462498624,1 +173057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.263572776,1 +173058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.851122158,1 +173059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.787354748,1 +173061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.683093516,1 +173062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.484132377,1 +173063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.247232208,1 +173060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.553057378,1 +173064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.163551922,1 +173065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.475148709,1 +173067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.558759906,1 +173066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.207077093,1 +173068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.139931436,1 +173069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.240893641,1 +173071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.91915717,1 +173072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.808005449,1 +173070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.159539257,1 +173073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.151959205,1 +173074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.116242362,1 +173075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.476067691,1 +173077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.747635545,1 +173076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.716158798,1 +173078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.802576846,1 +173079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.508007674,1 +173080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.780751636,1 +173084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.545320643,1 +173083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.771251098,1 +173081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.115532416,1 +173082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.716737435,1 +173085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.805821889,1 +173086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.18316768,1 +173088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.511619639,1 +173087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.567886431,1 +173089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.209415313,1 +173090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.060557094,1 +173091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.611086307,1 +173092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,8.229214225,1 +173094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.974440532,1 +173095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.294775136,1 +173096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,1.960812279,1 +173093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.675536599,1 +173097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.74550641,1 +173100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.141344287,1 +173098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.849716592,1 +173099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.881220724,1 +173101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,1.973911516,1 +173102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.746769653,1 +173103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.975792847,1 +173104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.177013635,1 +173105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.424113214,1 +173106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.143208248,1 +173107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.991324495,1 +173109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.23342004,1 +173108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.52936043,1 +173111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.32845553,1 +173110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.477915179,1 +173112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.379643891,1 +173113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.874445826,1 +173114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.028685322,1 +173115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.834438377,1 +173116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.636225732,1 +173117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.081217718,1 +173119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.955924266,1 +173118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.482815432,1 +173120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,1.204684457,1 +173121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.497042322,1 +173122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.375854097,1 +173123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.726521749,1 +173124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.16603969,1 +173127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.208237437,1 +173125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.637668592,1 +173128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.878579639,1 +173126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.086832037,1 +173129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.088350293,1 +173130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.601625974,1 +173131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.365288308,1 +173133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.055281092,1 +173134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.708589127,1 +173135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.455727155,1 +173136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.660654277,1 +173132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.111895828,1 +173137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.683711384,1 +173138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.169976672,1 +173139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.185318191,1 +173141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.918768528,1 +173140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.77588221,1 +173143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.479729676,1 +173142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.931868602,1 +173145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.468547405,1 +173144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.355019355,1 +173147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.815079819,1 +173146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.961890909,1 +173148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.147780159,1 +173149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.819528568,1 +173151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.366824782,1 +173150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.92290591,1 +173153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.947803091,1 +173154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.929040228,1 +173155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.270789055,1 +173152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,1.635851593,1 +173156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.394425645,1 +173159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.556152796,1 +173157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.984487834,1 +173158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,9.474188165,1 +173160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,1.851598208,1 +173161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.36084435,1 +173162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.876875815,1 +173163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.826642913,1 +173164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.546220523,1 +173165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.797614908,1 +173167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.528057329,1 +173166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.790181009,1 +173168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.535018611,1 +173171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.329213334,1 +173170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.428662728,1 +173169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.331622802,1 +173172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.875327621,1 +173173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.194979614,1 +173174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.344007684,1 +173175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.196531703,1 +173176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.431716732,1 +173177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.078281997,1 +173178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.104498851,1 +173179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.265643892,1 +173180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.637701336,1 +173181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.721888639,1 +173183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.016034915,1 +173182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.781349645,1 +173185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.487619482,1 +173187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.347280046,1 +173184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.908295607,1 +173186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.680956165,1 +173190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.522699268,1 +173189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.663151876,1 +173188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.224808168,1 +173191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.230613492,1 +173193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.920918208,1 +173194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.414117507,1 +173195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.51131748,1 +173192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.551696298,1 +173196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.245942836,1 +173197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.802663674,1 +173198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.683381814,1 +173200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.388835485,1 +173201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.719670978,1 +173199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.038119529,1 +173202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.306750861,1 +173203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.709404298,1 +173205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.457010719,1 +173204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.991315977,1 +173206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.279116574,1 +173207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.409917509,1 +173209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,11.24840007,1 +173208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.941739062,1 +173210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.841993747,1 +173211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.755853381,1 +173212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.081848194,1 +173213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.883630648,1 +173214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.956833004,1 +173215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.446966386,1 +173217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.390713982,1 +173216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.084365513,1 +173219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.896780049,1 +173218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.055258356,1 +173221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.519215942,1 +173220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.22152112,1 +173223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.653761398,1 +173222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.566394422,1 +173224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.07201114,1 +173225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.960215785,1 +173226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.60845621,1 +173227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.624123006,1 +173229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.031642266,1 +173230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.843857421,1 +173231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.047311143,1 +173232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.522837104,1 +173233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.81183128,1 +173228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.326254522,1 +173234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.935934688,1 +173237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.921053934,1 +173235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.267834275,1 +173236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.625418416,1 +173238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.854899085,1 +173240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.401049918,1 +173241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.276785211,1 +173242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.350625972,1 +173239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.217788996,1 +173243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.689054736,1 +173244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.061251418,1 +173245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.196716512,1 +173246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.63496003,1 +173247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.677003972,1 +173248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.740411355,1 +173249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.016724344,1 +173251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.10800719,1 +173250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.22395745,1 +173252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.356390064,1 +173253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.130291621,1 +173254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.475710518,1 +173256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.941437567,1 +173255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,1.614875814,1 +173257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.770526863,1 +173258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.229528759,1 +173259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.822374334,1 +173260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.886270005,1 +173261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.826490688,1 +173262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.028635042,1 +173263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.153482516,1 +173264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.074734912,1 +173266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,1.92271986,1 +173265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.473096392,1 +173267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.024684755,1 +173269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.178994514,1 +173270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.303195541,1 +173268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.555874836,1 +173271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.110750205,1 +173272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.93831923,1 +173273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.725403548,1 +173274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,1.522250447,1 +173275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.124969005,1 +173276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.626131428,1 +173277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.43762402,1 +173278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.735501732,1 +173279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.375616168,1 +173281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.199592873,1 +173280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.848589512,1 +173282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.923209195,1 +173283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,1.846175061,1 +173284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.077423807,1 +173285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.145639582,1 +173287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.337551714,1 +173288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.935373855,1 +173289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.775991346,1 +173286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.358701522,1 +173290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.001705923,1 +173291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,1.901101459,1 +173292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.277502976,1 +173294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.372164942,1 +173295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.977364146,1 +173293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.268491162,1 +173296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.759486758,1 +173299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.427863249,1 +173300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.667774028,1 +173298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.410902547,1 +173297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.623537062,1 +173301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.897267335,1 +173302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.339778814,1 +173304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.228494458,1 +173303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.36798035,1 +173306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.406862774,1 +173307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.149953776,1 +173308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.156575249,1 +173305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.870422779,1 +173310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.311169936,1 +173311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.476127397,1 +173309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.013602184,1 +173312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.500320047,1 +173313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.250983288,1 +173314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,1.844976809,1 +173315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.621437487,1 +173316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.637556415,1 +173317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.785595575,1 +173318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.679850463,1 +173319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.916259073,1 +173321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.694000084,1 +173322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.553076756,1 +173323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.661423113,1 +173325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.710264147,1 +173324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.773484644,1 +173326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.661208669,1 +173320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.188259742,1 +173327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.112595542,1 +173328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.00296486,1 +173330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.323774662,1 +173329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.735216526,1 +173331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.922078273,1 +173332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.747933596,1 +173334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.63109284,1 +173333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.168814035,1 +173335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.815536573,1 +173336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.8995059,1 +173337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.761720855,1 +173338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.229391847,1 +173339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.852819432,1 +173340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.24738913,1 +173341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.941727636,1 +173342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.472260201,1 +173343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.970828347,1 +173344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.353172401,1 +173345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.040123194,1 +173346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.3742737,1 +173347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.80904231,1 +173348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.137850462,1 +173349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.942757648,1 +173351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.325340573,1 +173352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.221706166,1 +173353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.206307465,1 +173350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.451936624,1 +173354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.947493726,1 +173355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.118920576,1 +173356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.123251974,1 +173357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.335617459,1 +173358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.093678154,1 +173359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.836702822,1 +173360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.907372442,1 +173361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.986602098,1 +173362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.265537516,1 +173363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.009820536,1 +173364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.155098987,1 +173365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.108547598,1 +173366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.787536689,1 +173367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.852052658,1 +173368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.348731207,1 +173369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.695539368,1 +173370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.157372997,1 +173371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.144583305,1 +173372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.347166481,1 +173374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.393194825,1 +173375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.219325042,1 +173376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.114798021,1 +173377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,8.811021478,1 +173378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.618736492,1 +173373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.082184332,1 +173380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.711524866,1 +173379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.044680175,1 +173381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.406365821,1 +173382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.974143073,1 +173383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.465834629,1 +173385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.842215131,1 +173384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.653887987,1 +173386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.083717211,1 +173389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.434792449,1 +173387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.464424365,1 +173388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,9.454325681,1 +173390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.722668199,1 +173393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.251884604,1 +173392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.891188498,1 +173391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.16813276,1 +173395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,10.82604999,1 +173396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.879763101,1 +173394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.297883267,1 +173399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.868368875,1 +173398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.216092178,1 +173397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.363931682,1 +173400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.995977959,1 +173401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.177999922,1 +173403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,8.979930062,1 +173402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.656111201,1 +173404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.940171247,1 +173406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.237918432,1 +173407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.315062258,1 +173405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.971739944,1 +173408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.191643241,1 +173410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.877353311,1 +173411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.346380609,1 +173409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.434322413,1 +173413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.751118258,1 +173414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.900224498,1 +173415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.829166701,1 +173412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.26447958,1 +173417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.916500457,1 +173418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.637027293,1 +173416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.719328574,1 +173419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.80688775,1 +173421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.01945765,1 +173420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.293043067,1 +173423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.274748078,1 +173422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.55391507,1 +173425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.845277771,1 +173426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.53929906,1 +173427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.48256141,1 +173424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.037194242,1 +173428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.945525399,1 +173430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.220076456,1 +173431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.641847485,1 +173432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.67690417,1 +173434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.398994676,1 +173433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.468810354,1 +173429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.833416448,1 +173435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.077599895,1 +173436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.948642508,1 +173438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.074542966,1 +173437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,8.606785922,1 +173439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.150440677,1 +173440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.411546216,1 +173442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.541159725,1 +173441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.64602004,1 +173443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.224018626,1 +173445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.554027335,1 +173446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.212887806,1 +173447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.834667994,1 +173444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.078075119,1 +173448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.554089528,1 +173449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.386659818,1 +173451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.746596386,1 +173450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.243430469,1 +173452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.073684642,1 +173454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,1.86387963,1 +173453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.808379726,1 +173455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.642144497,1 +173456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.461726125,1 +173459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.50289777,1 +173457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.501743211,1 +173458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.04752909,1 +173460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.577256316,1 +173461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.524690992,1 +173463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.259424424,1 +173465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.195461365,1 +173464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.871505391,1 +173462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.978865033,1 +173467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.721148445,1 +173466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.741492874,1 +173469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.099009503,1 +173468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.55762454,1 +173471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.086547501,1 +173470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.92014664,1 +173472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.575916888,1 +173473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.17696808,1 +173475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.244289422,1 +173474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.493898748,1 +173477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.515924766,1 +173476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.387366061,1 +173478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.997650016,1 +173479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.558401818,1 +173480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.224802316,1 +173481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.492257711,1 +173482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.4070199,1 +173483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.465158885,1 +173484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.078018169,1 +173485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.211323992,1 +173486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.81868262,1 +173487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.386553714,1 +173488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.867202191,1 +173490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,1.830479353,1 +173489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.363393504,1 +173491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.603657796,1 +173492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.277596957,1 +173493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.569086975,1 +173494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.388189885,1 +173496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.235800132,1 +173495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.995154251,1 +173497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.938345436,1 +173499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.781923853,1 +173498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.253784989,1 +173500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.248298883,1 +173501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.914393954,1 +173502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.024192389,1 +173505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.945641427,1 +173503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.653121881,1 +173506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.230407055,1 +173504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.447122086,1 +173507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.750695335,1 +173508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.165577211,1 +173509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.058724452,1 +173512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.633780375,1 +173510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.362953061,1 +173511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.653044631,1 +173513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.203367911,1 +173515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,8.593336186,1 +173516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.819803282,1 +173514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.859221469,1 +173517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.431982324,1 +173519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.937426822,1 +173520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.316706104,1 +173521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.71695704,1 +173522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.628067917,1 +173518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.847065834,1 +173523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,1.50396981,1 +173524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.189145135,1 +173525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.615061721,1 +173527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.162974616,1 +173526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.978525549,1 +173530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.883856272,1 +173528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.211164662,1 +173531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.034881376,1 +173529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.783273336,1 +173533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.363687195,1 +173535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.695040533,1 +173536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.616956415,1 +173532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.374936856,1 +173537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.669437325,1 +173534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.199851961,1 +173538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.179480238,1 +173539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.471905709,1 +173540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.172453589,1 +173543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.623295603,1 +173541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.650069004,1 +173545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.200991127,1 +173542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.012349128,1 +173546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.129985016,1 +173544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.97616164,1 +173548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.306019284,1 +173550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.866948682,1 +173549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.943065193,1 +173551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.511555312,1 +173552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.595563175,1 +173547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.453452763,1 +173554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.670951894,1 +173555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.135050738,1 +173556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.013097188,1 +173553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.771353206,1 +173559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.456104204,1 +173557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.877974252,1 +173558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.222725071,1 +173560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.238854493,1 +173561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.261839707,1 +173563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.60395836,1 +173562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.481270997,1 +173564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.909284517,1 +173567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.741867114,1 +173566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.304936188,1 +173568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.300792675,1 +173569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.768732643,1 +173565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.92305236,1 +173570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.807754055,1 +173573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.513262972,1 +173571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.967195698,1 +173572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.680363977,1 +173574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.080204328,1 +173575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.878648525,1 +173576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.932371965,1 +173577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.248511492,1 +173578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.483012652,1 +173579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.78738014,1 +173581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.675444078,1 +173580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.726564095,1 +173582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,1.446704839,1 +173584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.503535839,1 +173585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.526545458,1 +173586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.948260316,1 +173583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.820488131,1 +173587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.794264119,1 +173589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,1.509042169,1 +173590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.358878682,1 +173588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.379810364,1 +173591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.754548241,1 +173592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.740037718,1 +173593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.104724021,1 +173594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.728990631,1 +173595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.19106278,1 +173596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.003032404,1 +173597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.225147627,1 +173599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.786925274,1 +173598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.728005316,1 +173600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.649366477,1 +173601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.89972822,1 +173602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.953626453,1 +173603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,1.764477283,1 +173604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,8.006902093,1 +173605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.23708335,1 +173606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.99722213,1 +173608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.874519087,1 +173609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.825955968,1 +173610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.10375572,1 +173607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.920057599,1 +173611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.659233063,1 +173612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.249858577,1 +173613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.157968973,1 +173615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.955818106,1 +173616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.587966563,1 +173617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.670114032,1 +173614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.459251665,1 +173618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.587263803,1 +173619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.797914549,1 +173621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.251919871,1 +173620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.616727947,1 +173623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.170774071,1 +173622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.924472169,1 +173624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.736384069,1 +173625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.426336324,1 +173626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.609168442,1 +173627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.834351844,1 +173629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.273481175,1 +173630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.479117426,1 +173631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.723630124,1 +173628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,1.835319688,1 +173632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.074106979,1 +173635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.621720402,1 +173633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.229067594,1 +173634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.467509358,1 +173636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.979892448,1 +173637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.460519887,1 +173639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.001091226,1 +173638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.648123708,1 +173640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.152564915,1 +173641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.531267764,1 +173642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.735837593,1 +173643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.482654556,1 +173644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.928525365,1 +173646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.998865719,1 +173647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.346916763,1 +173648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.904632675,1 +173649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.696222509,1 +173645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.833984479,1 +173650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.256886936,1 +173651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.923853229,1 +173653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.261858531,1 +173652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.253392581,1 +173654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.761681565,1 +173655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.883329577,1 +173656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.462551588,1 +173657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.338381785,1 +173658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.436388036,1 +173659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.260003125,1 +173661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.271629387,1 +173662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.33885275,1 +173660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.150927744,1 +173663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.125548011,1 +173664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.51953424,1 +173667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.676440098,1 +173665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.858895173,1 +173666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.010722342,1 +173668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.254110641,1 +173669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.182018397,1 +173670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.893185777,1 +173671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.249110621,1 +173672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.032065152,1 +173674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.849943547,1 +173673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.112992155,1 +173676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,8.548656886,1 +173677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.904575317,1 +173675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.791822734,1 +173678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.000406691,1 +173679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.008623143,1 +173680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.528946716,1 +173681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.57290788,1 +173682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.059462256,1 +173684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.648446459,1 +173685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,1.814697813,1 +173686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.794598526,1 +173687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.123690728,1 +173683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.188010093,1 +173689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.906453998,1 +173690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.780976997,1 +173688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.149377207,1 +173692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.716487169,1 +173691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.082743853,1 +173694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.51744705,1 +173693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,1.741422175,1 +173696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.397427575,1 +173695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.17849457,1 +173697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.082787562,1 +173698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.156937913,1 +173699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.966039873,1 +173700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.806256587,1 +173702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.749896027,1 +173701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.21050857,1 +173704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.261422681,1 +173703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.233289475,1 +173705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.66886719,1 +173706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.033078341,1 +173707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.295131637,1 +173709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.502966828,1 +173708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.935250193,1 +173710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.27391273,1 +173711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.089176376,1 +173713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.28876048,1 +173714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.222305961,1 +173712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.50917384,1 +173715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.626810821,1 +173716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.235682067,1 +173718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.154517404,1 +173717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.125638065,1 +173719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.685476587,1 +173720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.463517741,1 +173721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.195020958,1 +173723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.863296007,1 +173724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.853068565,1 +173722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.164946157,1 +173725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.520784961,1 +173727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.761242584,1 +173728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.617035328,1 +173726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.389029376,1 +173730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.129016045,1 +173729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.499886325,1 +173732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.963054975,1 +173731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.630494549,1 +173734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.025660042,1 +173733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.492867325,1 +173735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.247653247,1 +173737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.221948641,1 +173738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.653530851,1 +173736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.857884273,1 +173739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,1.984960996,1 +173740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.142604439,1 +173741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.877942879,1 +173743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.993533776,1 +173744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.905890043,1 +173742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.228958963,1 +173745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.606557853,1 +173746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.542888344,1 +173748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.503759316,1 +173747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.241641125,1 +173749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.735456096,1 +173750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.798895403,1 +173752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.83829658,1 +173753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.223612208,1 +173754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.670491687,1 +173751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.373464877,1 +173755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.461623676,1 +173757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.914140583,1 +173756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.667012342,1 +173758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.663448382,1 +173759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.348786117,1 +173761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.358138053,1 +173760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.090377913,1 +173762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.31417008,1 +173763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.432802119,1 +173764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.408442137,1 +173765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.494431881,1 +173766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.101895795,1 +173767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.26706255,1 +173768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.479382848,1 +173769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.254157824,1 +173771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.958265945,1 +173772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.41826032,1 +173773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.154693227,1 +173775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.607868157,1 +173770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.969296179,1 +173774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.81750725,1 +173776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.393238997,1 +173778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.565144133,1 +173777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.333279572,1 +173779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.78171866,1 +173780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.037644001,1 +173782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.530566788,1 +173783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.769256315,1 +173784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.498434044,1 +173781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.025174666,1 +173785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.491085652,1 +173786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.010481595,1 +173787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.389619392,1 +173788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.354339096,1 +173789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.651295091,1 +173791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.683966886,1 +173790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.304070708,1 +173792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.224298582,1 +173793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.935481492,1 +173794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.635350254,1 +173795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.382700805,1 +173796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.70827459,1 +173797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.646288494,1 +173798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.919284955,1 +173799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.118014896,1 +173800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.173915196,1 +173802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.803027948,1 +173803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.160433089,1 +173804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.131872811,1 +173801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.657222805,1 +173806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.789687077,1 +173805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.484293614,1 +173807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.646346467,1 +173808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.248774333,1 +173809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.780169096,1 +173810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.81522079,1 +173811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.99118093,1 +173812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.79438869,1 +173813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.902436954,1 +173814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.953973432,1 +173815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.996408106,1 +173816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.95369274,1 +173817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.584765256,1 +173818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.775469544,1 +173819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.180220237,1 +173821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.510258093,1 +173822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.003246901,1 +173823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.361511672,1 +173824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,8.535925979,1 +173825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.997300886,1 +173820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,8.058007815,1 +173826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.917060258,1 +173827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.85840933,1 +173829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.431149407,1 +173830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.868579515,1 +173828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.349576906,1 +173831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.094902114,1 +173834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.690459623,1 +173833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.921578583,1 +173832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.38212511,1 +173835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.295980733,1 +173838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.206796076,1 +173836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.016360577,1 +173837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.40938019,1 +173839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.709328121,1 +173842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.164996131,1 +173841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.118441819,1 +173843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.299846139,1 +173844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.852867199,1 +173845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.95619544,1 +173846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.672179549,1 +173847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.32836829,1 +173848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,0.884022261,1 +173840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.815327352,1 +173849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.224641082,1 +173852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.104816849,1 +173851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.779326289,1 +173850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.996369406,1 +173854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.447347216,1 +173853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.089627739,1 +173856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.611801287,1 +173855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.867276206,1 +173857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.363709754,1 +173858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.281592112,1 +173859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.959903674,1 +173860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.161099884,1 +173862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.383362101,1 +173863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.419537032,1 +173864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.89082767,1 +173861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.346681201,1 +173865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.579258809,1 +173866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.259454623,1 +173867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.729099427,1 +173868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.897735097,1 +173869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.61732762,1 +173870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.85200402,1 +173871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.728217257,1 +173872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.530054763,1 +173873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.437355675,1 +173874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.994095306,1 +173875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.899224011,1 +173876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.060012766,1 +173877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.29366231,1 +173878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.382792792,1 +173879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.16684647,1 +173881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.872006804,1 +173883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.5794203,1 +173882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.731030704,1 +173880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.689933777,1 +173884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.513014685,1 +173885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.052283656,1 +173886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.672783689,1 +173887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.344068265,1 +173888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.604985523,1 +173889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.663342104,1 +173890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.618636146,1 +173891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,1.359020204,1 +173892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.134437671,1 +173893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.354822354,1 +173894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.691216741,1 +173896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.355479428,1 +173895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.125277124,1 +173898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.145987052,1 +173897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.797171239,1 +173899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.605152268,1 +173900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.045098959,1 +173902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.442127304,1 +173901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.676370092,1 +173903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.371555513,1 +173904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.288931132,1 +173905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.415743742,1 +173906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.216115656,1 +173907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.511375634,1 +173908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.956574721,1 +173909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.980362167,1 +173910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.791402253,1 +173911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.962299215,1 +173914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.112171974,1 +173912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.986984957,1 +173913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.947585088,1 +173915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.204728357,1 +173916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.834794756,1 +173918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.403282224,1 +173917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.875351187,1 +173919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.076888488,1 +173921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.80291388,1 +173920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.665376133,1 +173923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.202882563,1 +173922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.63735876,1 +173925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.750610582,1 +173924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.663531294,1 +173926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.74351883,1 +173927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.741818575,1 +173928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.203312283,1 +173929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.81400359,1 +173930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.902697756,1 +173933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.699190902,1 +173932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.708085905,1 +173934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.309162079,1 +173931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.18363933,1 +173935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.585187219,1 +173936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.260458172,1 +173937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.195304394,1 +173938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.576552982,1 +173939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.66584532,1 +173940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.36263228,1 +173941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.07092615,1 +173942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.432029732,1 +173943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.390203448,1 +173944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.886251491,1 +173945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.736888965,1 +173946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.404536901,1 +173947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.081524788,1 +173948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.320749687,1 +173949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.457375335,1 +173951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.062091294,1 +173952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.756486328,1 +173953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.9008255,1 +173954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.720242777,1 +173955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.931367311,1 +173950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.843879246,1 +173956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.685968083,1 +173958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.173217065,1 +173957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.083492677,1 +173959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.476000643,1 +173960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.377404684,1 +173963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.454060138,1 +173961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.125443703,1 +173962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.822543854,1 +173964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.780949626,1 +173965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.125421529,1 +173966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.350302139,1 +173967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.850312602,1 +173968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.51655136,1 +173970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.269327398,1 +173971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.40747237,1 +173972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.224461377,1 +173973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.603002504,1 +173974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.505242116,1 +173969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.514272,1 +173975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.912456112,1 +173978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.990740309,1 +173976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.052648579,1 +173977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.264769569,1 +173979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.067619843,1 +173980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.072824431,1 +173981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.196018373,1 +173982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.588407818,1 +173983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.273522859,1 +173984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.390874438,1 +173985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.381660771,1 +173986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.478831443,1 +173987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,2.873407065,1 +173989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,7.00574473,1 +173990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,6.412813129,1 +173991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.670300117,1 +173988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.521248608,1 +173992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.572222534,1 +173993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.901919893,1 +173994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,5.040389635,1 +173995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.801915717,1 +173996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.073710152,1 +173997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.752046254,1 +173998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,4.344400139,1 +173999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.333946633,1 +174000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,4,1,3.116187935,1 +183001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.203469793,1 +183002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.103772172,1 +183003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.198688751,1 +183004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,1.771939288,1 +183005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.031596439,1 +183007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.445253943,1 +183008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.762234759,1 +183006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.688421894,1 +183009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.538560351,1 +183012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.299427342,1 +183010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.819122326,1 +183011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.191384443,1 +183013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.92789489,1 +183016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.795446628,1 +183015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.208447644,1 +183017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.606217064,1 +183018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.147274778,1 +183019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.779749112,1 +183014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.903398392,1 +183020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.402386279,1 +183021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.075108356,1 +183022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,1.54491205,1 +183023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.407732512,1 +183027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.763385842,1 +183024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.75444943,1 +183025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.591150503,1 +183026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.148617001,1 +183028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.298296682,1 +183029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.157958722,1 +183030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.396637509,1 +183031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.63302752,1 +183033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.079556013,1 +183034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.536790459,1 +183035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.74087218,1 +183036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.953852176,1 +183032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.180484123,1 +183037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.964272618,1 +183038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.901495562,1 +183040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.236812137,1 +183039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.889951709,1 +183042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.696410511,1 +183041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.526082893,1 +183044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.311337605,1 +183043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.426203767,1 +183045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.300243128,1 +183046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,8.773474384,1 +183047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.440974711,1 +183049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.181670183,1 +183050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.44225289,1 +183048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.288822314,1 +183051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.540013966,1 +183053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.667262236,1 +183052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.903129744,1 +183056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.156732466,1 +183054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.640448374,1 +183055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.021571146,1 +183057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,1.119141529,1 +183058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.216652696,1 +183060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.58064584,1 +183061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.405528359,1 +183059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.198610501,1 +183062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.535109113,1 +183063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.295452924,1 +183064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.481891139,1 +183065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.420417949,1 +183066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.51477163,1 +183067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,8.056919174,1 +183068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.767264476,1 +183069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.563381251,1 +183070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.306057853,1 +183071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.643450602,1 +183072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.034641819,1 +183073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.502591833,1 +183074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.29909126,1 +183075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.317866351,1 +183076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.372892554,1 +183077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.117531656,1 +183079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,8.345608799,1 +183078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.358913012,1 +183080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.111115846,1 +183081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.639287767,1 +183082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,1.459018816,1 +183083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.948830071,1 +183084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.614492914,1 +183086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.296072476,1 +183085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.424448819,1 +183087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.850386814,1 +183088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.126048736,1 +183089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.436824755,1 +183090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.602051486,1 +183091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.202803625,1 +183092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.459978232,1 +183093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.853290557,1 +183094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.60113469,1 +183095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.293407054,1 +183096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,8.451397022,1 +183097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.778911364,1 +183099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.195818177,1 +183100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.503677086,1 +183098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.68800378,1 +183101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.970313127,1 +183102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.739933842,1 +183103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.942029868,1 +183105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.242835519,1 +183106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.518153548,1 +183107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.214571941,1 +183104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.459282084,1 +183108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.335536493,1 +183109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.704832376,1 +183110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.161073145,1 +183112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.348581195,1 +183114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.239750235,1 +183113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.712480906,1 +183111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.061372464,1 +183115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.856074173,1 +183118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.423972708,1 +183119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.560044386,1 +183117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.072157892,1 +183116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.913973798,1 +183121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.147526106,1 +183122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.32054448,1 +183123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.14244511,1 +183120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.817299383,1 +183125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.416213544,1 +183124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.776291412,1 +183126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.151257906,1 +183128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.505066888,1 +183129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,1.536930634,1 +183127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,8.957737604,1 +183130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.158871766,1 +183133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.623036385,1 +183132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.932787192,1 +183134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.618102832,1 +183131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.20630226,1 +183136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.487625621,1 +183137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.316831535,1 +183135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.011161298,1 +183138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.374768975,1 +183139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.218954174,1 +183140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.853015701,1 +183141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.951851319,1 +183142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.818501156,1 +183143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.269188779,1 +183145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.551205019,1 +183146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,9.043697437,1 +183144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.040076026,1 +183148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.913664584,1 +183149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.518888997,1 +183147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.631922676,1 +183150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.242298379,1 +183151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.312118978,1 +183153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.082425727,1 +183152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.577420901,1 +183154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.498646053,1 +183155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.772586973,1 +183156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.466306355,1 +183157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.676019531,1 +183160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.033894068,1 +183159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,8.20940297,1 +183161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,8.159187459,1 +183158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,1.94729025,1 +183162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.18695165,1 +183163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.861857576,1 +183164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.501339642,1 +183165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.732623431,1 +183166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.761632099,1 +183167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.724154415,1 +183168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.486864355,1 +183169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.660118845,1 +183170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.965884722,1 +183171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.505937635,1 +183172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.591858587,1 +183174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.61473146,1 +183173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.081366357,1 +183175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.506610895,1 +183176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.593766529,1 +183180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.793773539,1 +183179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.200141535,1 +183177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.028434794,1 +183178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.747675224,1 +183182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.677991822,1 +183181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.556153692,1 +183183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.646180681,1 +183184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.350727222,1 +183186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.752034781,1 +183185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.582042663,1 +183187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.960773814,1 +183189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.20659353,1 +183188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.055273965,1 +183190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.164666687,1 +183191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.628858861,1 +183193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.218369388,1 +183194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.191553035,1 +183192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.233206794,1 +183195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.129830811,1 +183197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.01554636,1 +183196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.321055231,1 +183198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,8.561149479,1 +183199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.696188313,1 +183200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.088974117,1 +183202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.037326817,1 +183203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.730637914,1 +183201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.366227173,1 +183204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,1.933200143,1 +183205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.027859611,1 +183206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,8.941995208,1 +183207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.345275216,1 +183208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.311888339,1 +183210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.980853998,1 +183209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.813935876,1 +183212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.208708684,1 +183213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.410279719,1 +183214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.70775867,1 +183211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.48707836,1 +183215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,8.381294902,1 +183217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.454059021,1 +183216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.229200958,1 +183219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.307911063,1 +183220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.295339351,1 +183218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.749374314,1 +183221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.695893992,1 +183224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.915519326,1 +183223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.270890183,1 +183222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.524287785,1 +183225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.292466825,1 +183226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.478971712,1 +183227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,8.422031592,1 +183228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.412057782,1 +183229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.802146089,1 +183231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.518972302,1 +183232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.168639827,1 +183233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.92563783,1 +183234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.087769294,1 +183235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.108528267,1 +183236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.181491846,1 +183230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.80654339,1 +183238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.299008834,1 +183237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.829450402,1 +183240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.296019757,1 +183239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.743779043,1 +183243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.085826526,1 +183241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.825870062,1 +183242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.860402268,1 +183244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.309965324,1 +183246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.62136832,1 +183245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,0.890017194,1 +183247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.322140858,1 +183248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.115023227,1 +183249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.492643552,1 +183251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.020777908,1 +183252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.064525357,1 +183253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.779650345,1 +183254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.61437205,1 +183250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.355115708,1 +183255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.361024888,1 +183256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,1.854645957,1 +183257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.757173644,1 +183258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.653335529,1 +183259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.956449536,1 +183260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.290364801,1 +183261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.841099173,1 +183263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.638907302,1 +183262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.672193716,1 +183264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.970098109,1 +183265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.883378082,1 +183266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.1585656,1 +183268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.573780973,1 +183267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.750664368,1 +183269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.156236333,1 +183271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.725767755,1 +183270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.784603693,1 +183272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.367430371,1 +183273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.37321821,1 +183274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.594942164,1 +183275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.346704221,1 +183276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.480033777,1 +183277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.563635073,1 +183278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.386129142,1 +183279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.30365742,1 +183281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.875811004,1 +183280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.247010775,1 +183282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.701192813,1 +183283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.221793416,1 +183284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.518029896,1 +183286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.162501746,1 +183287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.218846101,1 +183285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.491181777,1 +183288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.544516172,1 +183289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.252583267,1 +183291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,9.980550025,1 +183290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.82776966,1 +183292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.398327718,1 +183293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.132610223,1 +183294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.119144635,1 +183295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.535814285,1 +183296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.912471617,1 +183297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.495838632,1 +183299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.61812802,1 +183300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.201699198,1 +183298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.698844173,1 +183301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,8.590641715,1 +183302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.709471152,1 +183303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.207553601,1 +183305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.37398889,1 +183304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.189251557,1 +183306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.728758178,1 +183307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.015314154,1 +183308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.598594294,1 +183310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.395392914,1 +183312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.548551929,1 +183311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.540782875,1 +183309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.371735445,1 +183314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.920615195,1 +183313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.744226993,1 +183315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.822965176,1 +183316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.27423364,1 +183317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.914818536,1 +183319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.521242752,1 +183318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.054380508,1 +183320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.258958164,1 +183321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.252348753,1 +183322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.41399651,1 +183323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.810726679,1 +183325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.263604973,1 +183326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.096329132,1 +183327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.144441579,1 +183328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.73128727,1 +183324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.756916802,1 +183330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.800609733,1 +183329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.518270293,1 +183332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.74496881,1 +183331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.218102769,1 +183334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,9.799245929,1 +183333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,9.701003841,1 +183336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.880789962,1 +183335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.720032837,1 +183337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.863178325,1 +183338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.563589811,1 +183339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.144802638,1 +183341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.512779759,1 +183342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.785035327,1 +183343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.987768117,1 +183344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.62866491,1 +183340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.455468454,1 +183345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.137383574,1 +183348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.481004591,1 +183346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,8.009999785,1 +183347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.300143457,1 +183349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.117279169,1 +183351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.829029525,1 +183352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.808637592,1 +183350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.946414945,1 +183353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.446604644,1 +183355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.300077171,1 +183354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,9.128690431,1 +183357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.274777559,1 +183356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.144066328,1 +183358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.881044219,1 +183359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.471031665,1 +183360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.035654428,1 +183361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.777801902,1 +183362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.497715175,1 +183363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.209260568,1 +183364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.657467339,1 +183365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.924787181,1 +183367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.73854121,1 +183366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.811677182,1 +183368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.903792021,1 +183369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.113540096,1 +183371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.332562204,1 +183370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.980526912,1 +183372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.376949569,1 +183373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.250181485,1 +183374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.209691145,1 +183376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.138489357,1 +183375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.331711366,1 +183379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.865951378,1 +183378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.649465535,1 +183380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.902440456,1 +183377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.169907496,1 +183382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.641568134,1 +183383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.569523636,1 +183381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.917381273,1 +183384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.028518174,1 +183385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.828096377,1 +183386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.473185377,1 +183387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,8.749455241,1 +183388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.012386095,1 +183391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.0430542,1 +183389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.449000376,1 +183390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.982494763,1 +183394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.165815739,1 +183392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.546864325,1 +183393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.49098074,1 +183395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.169702909,1 +183396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.048531445,1 +183398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.870749643,1 +183397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.177760917,1 +183399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.443548281,1 +183400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.865337435,1 +183401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.744673122,1 +183402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.385997033,1 +183403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.459679019,1 +183404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.625016915,1 +183406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.766218009,1 +183407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.200612181,1 +183405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.986571896,1 +183408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.275295956,1 +183410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.251059894,1 +183411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.5480362,1 +183412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.082315313,1 +183413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.103380651,1 +183414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.172266204,1 +183415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.585893404,1 +183409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.071552253,1 +183416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.241438566,1 +183417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.706316487,1 +183418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.630972463,1 +183420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.156934184,1 +183421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.965376165,1 +183422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.218239572,1 +183419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.945388229,1 +183425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.142037395,1 +183423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.813654731,1 +183426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.783861394,1 +183424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.952242042,1 +183428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,9.953291477,1 +183427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.911626995,1 +183429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.639346624,1 +183430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.31839482,1 +183431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.4435798,1 +183432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.615055617,1 +183434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.823672125,1 +183436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.012423067,1 +183435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.954833292,1 +183437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.001404325,1 +183433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.369090049,1 +183438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.646788325,1 +183441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.584553743,1 +183439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.385898767,1 +183440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,8.118960245,1 +183442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.304659671,1 +183444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.248663652,1 +183443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.787258463,1 +183445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,1.913602573,1 +183446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.139507873,1 +183447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.021748478,1 +183448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.029685115,1 +183449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.237349164,1 +183450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.530050353,1 +183451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.334691904,1 +183452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.716198832,1 +183454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.118056691,1 +183453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.080494253,1 +183455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.218516061,1 +183456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.740839489,1 +183457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.269490755,1 +183458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.849593254,1 +183459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.52451938,1 +183460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.07064907,1 +183461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.314640773,1 +183462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.105897808,1 +183463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.067051757,1 +183464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.029314717,1 +183465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.612560277,1 +183466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.076008237,1 +183467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.108825109,1 +183468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.263981453,1 +183469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.301316496,1 +183470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.09459418,1 +183471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.213669428,1 +183472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.211292573,1 +183473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.298132328,1 +183474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.816180866,1 +183475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.780794705,1 +183476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.618174287,1 +183477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.627707718,1 +183478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.476725861,1 +183479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.722268757,1 +183480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.120019232,1 +183482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.155515937,1 +183481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.406012804,1 +183483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.29619343,1 +183485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.034821287,1 +183484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.703300516,1 +183486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.991048536,1 +183487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.441091681,1 +183488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.058976231,1 +183489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,1.57119486,1 +183491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.551589415,1 +183490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.063052204,1 +183492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.158934428,1 +183493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.733462118,1 +183494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.138366523,1 +183496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.47890336,1 +183495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.266910986,1 +183497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.435682695,1 +183498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.815607988,1 +183499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.387953978,1 +183500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,1.880184245,1 +183501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.544770178,1 +183502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.566633762,1 +183503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.880637108,1 +183505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.671816771,1 +183506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.954674651,1 +183507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.665543376,1 +183508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.894417952,1 +183509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.851319343,1 +183504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,1.962606556,1 +183510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.211349341,1 +183511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.552874152,1 +183512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.893966252,1 +183513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.460306266,1 +183514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.381338974,1 +183515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.453930441,1 +183516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.808975591,1 +183517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.879467973,1 +183518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.695901016,1 +183520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.620322534,1 +183519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.140558123,1 +183522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.561558612,1 +183523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.720170842,1 +183524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.068934259,1 +183525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,1.500489441,1 +183521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.686413269,1 +183526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.075872259,1 +183527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.737731914,1 +183528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.688324162,1 +183529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.387934204,1 +183530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.536385727,1 +183531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.434718733,1 +183532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.930752725,1 +183534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.631566095,1 +183533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.344726565,1 +183535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.263922143,1 +183536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.518714892,1 +183537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.261363342,1 +183538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.162579576,1 +183539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,8.496542802,1 +183540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,1.478564284,1 +183541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,1.735629969,1 +183543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.612521378,1 +183544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.560083065,1 +183542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.928900827,1 +183545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.393621566,1 +183546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.447161725,1 +183547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.144544808,1 +183548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.694085767,1 +183549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.909407755,1 +183550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.284755117,1 +183551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.48713855,1 +183552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.870708475,1 +183553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.826198393,1 +183554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.770932461,1 +183555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.702597762,1 +183556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.016718897,1 +183557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,1.51224021,1 +183559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.401494425,1 +183558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.79382704,1 +183563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.713144197,1 +183560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.182679718,1 +183562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.880005332,1 +183561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,9.4408608,1 +183564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.523250102,1 +183565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.573793325,1 +183566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.077723101,1 +183567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.617151578,1 +183570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.677674138,1 +183569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.239053943,1 +183568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.418045342,1 +183571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.79753987,1 +183574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.242743347,1 +183573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.044287733,1 +183572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.088248155,1 +183577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.197045101,1 +183576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.48488691,1 +183575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.81650791,1 +183578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.573798057,1 +183579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.199967866,1 +183580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.368700296,1 +183582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.454434746,1 +183581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.904974033,1 +183583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.727556871,1 +183584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.130110681,1 +183585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.749330874,1 +183586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.711111434,1 +183587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,1.299877935,1 +183589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.883377886,1 +183588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.717669481,1 +183590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.513759356,1 +183591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.196753132,1 +183593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.371298691,1 +183592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.276842291,1 +183595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.868290657,1 +183596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,8.546951736,1 +183597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.486432887,1 +183598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.064209514,1 +183599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,8.027610548,1 +183600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.456053156,1 +183594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,1.318059027,1 +183602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.619163261,1 +183603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.867049409,1 +183601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.023146728,1 +183604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.45761495,1 +183606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.983173643,1 +183605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.320579965,1 +183607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.81705067,1 +183608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.549109784,1 +183609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.946564399,1 +183610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.632444371,1 +183611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.262715346,1 +183613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.224899492,1 +183614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.579725313,1 +183615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.855668498,1 +183616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.344994135,1 +183612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.033404149,1 +183617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.314003793,1 +183618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,9.638613062,1 +183619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.961581201,1 +183620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.711537014,1 +183621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.190266413,1 +183622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.117477582,1 +183623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.155161068,1 +183625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.367764415,1 +183624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.336345868,1 +183627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.054795809,1 +183626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.90740771,1 +183628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.63721851,1 +183630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,8.412954147,1 +183629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.678486634,1 +183631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.077526344,1 +183632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.490086747,1 +183635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,11.17570637,1 +183633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.297697883,1 +183634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.780692274,1 +183638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.298171437,1 +183637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.087132906,1 +183636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.648459471,1 +183639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.500666993,1 +183640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.287332922,1 +183641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.619190512,1 +183642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.403738298,1 +183644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.6306165,1 +183645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.039358165,1 +183643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.958117268,1 +183646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.962404665,1 +183647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.909375654,1 +183648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.850868276,1 +183650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.975803431,1 +183649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.916676877,1 +183652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,0.108609569,1 +183651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.807901613,1 +183653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.055847265,1 +183654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.240813798,1 +183656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.259715767,1 +183657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.629967385,1 +183655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.062354232,1 +183659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.428940546,1 +183660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.71831601,1 +183661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.254250765,1 +183658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.513858843,1 +183662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.179738029,1 +183664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.56214762,1 +183663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.461986216,1 +183665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.717602735,1 +183667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.029345861,1 +183668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.069600242,1 +183666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.925615032,1 +183669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.987203744,1 +183671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.713526968,1 +183670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.864894114,1 +183672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.58316148,1 +183675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.675656665,1 +183674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.88093436,1 +183673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,8.289189639,1 +183676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.659356561,1 +183677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.968230264,1 +183678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.138670638,1 +183680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.425971526,1 +183679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.156329737,1 +183681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.213867182,1 +183682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.530525272,1 +183683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.072731453,1 +183684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.203051268,1 +183686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.187549354,1 +183685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.337491986,1 +183687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.922096388,1 +183689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.156058656,1 +183690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.814276541,1 +183691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.77422535,1 +183688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.063324299,1 +183692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.888877286,1 +183694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.937862075,1 +183693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.29782153,1 +183696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.819845324,1 +183698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.637583426,1 +183697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.97489588,1 +183695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.2290558,1 +183701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.026945963,1 +183700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.319888949,1 +183702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.718520199,1 +183699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.568917877,1 +183703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.031415844,1 +183704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.366175961,1 +183706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.183072246,1 +183708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.871500011,1 +183707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,10.60389085,1 +183709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.474221081,1 +183705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.813590089,1 +183711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,11.39226992,1 +183710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.384705305,1 +183712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.624209821,1 +183713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.490808684,1 +183715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.251161258,1 +183714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.82585242,1 +183716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.294470431,1 +183717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.069838698,1 +183718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.875664291,1 +183719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.10352463,1 +183720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.130198616,1 +183721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.368474828,1 +183722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.590096161,1 +183723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.06134336,1 +183724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.448090537,1 +183726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.624892152,1 +183727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.303226162,1 +183728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,9.101172449,1 +183725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.828992809,1 +183729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.719024776,1 +183731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.778759163,1 +183732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.998528579,1 +183730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.662134932,1 +183733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.489916658,1 +183736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.1841175,1 +183734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.08395857,1 +183735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.126007729,1 +183738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.932978925,1 +183737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.060486031,1 +183739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.436739366,1 +183740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.018851761,1 +183742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.836617851,1 +183741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.445523664,1 +183743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.462719301,1 +183744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,10.41604126,1 +183745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.174095973,1 +183747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.90477913,1 +183746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.203780994,1 +183748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.575435538,1 +183749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.594339403,1 +183750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.604338098,1 +183751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.330852772,1 +183752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.885173602,1 +183753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.258532003,1 +183754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.732232228,1 +183755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.681532835,1 +183756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.793061755,1 +183758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.297747141,1 +183759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.061137928,1 +183757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.778233077,1 +183760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.964918283,1 +183761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.662369777,1 +183762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.816616365,1 +183763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.284139725,1 +183764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.596815351,1 +183765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.6769762,1 +183766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.427229904,1 +183767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.449560294,1 +183769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.106738935,1 +183770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.849135316,1 +183771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.815760284,1 +183768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.390773898,1 +183772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.499248314,1 +183773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.883505492,1 +183775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,1.951692872,1 +183774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.958627358,1 +183776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.849348626,1 +183777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.147016075,1 +183778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.045913524,1 +183779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.444915293,1 +183780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,1.924181475,1 +183781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.356066005,1 +183783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.74940412,1 +183782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.878616597,1 +183784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.081015784,1 +183785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.024197621,1 +183786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.788786319,1 +183787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.676998457,1 +183788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.236957222,1 +183789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.026919293,1 +183790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.483997597,1 +183791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.016272099,1 +183792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.911216549,1 +183793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.080779884,1 +183795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.997284244,1 +183794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.52184853,1 +183796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.747080972,1 +183797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,9.680143032,1 +183798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.94182595,1 +183799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.739206156,1 +183800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.582138848,1 +183801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.402176005,1 +183803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.114825839,1 +183802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.947456592,1 +183804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.634613093,1 +183805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.550639459,1 +183806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.536638232,1 +183808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.427888709,1 +183809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.777773312,1 +183810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.043927362,1 +183811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.778293814,1 +183812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,1.927489685,1 +183807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.738798186,1 +183813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.818425648,1 +183814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.605284748,1 +183815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.204342526,1 +183817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.641935178,1 +183818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.710917771,1 +183816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.685311985,1 +183819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.550115972,1 +183820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.835489466,1 +183821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.756015977,1 +183823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.123454413,1 +183824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.2805065,1 +183822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.078416666,1 +183825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.450204444,1 +183826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.086074352,1 +183827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.848277871,1 +183828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.938553762,1 +183830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.547175375,1 +183829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.599071147,1 +183831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.19715236,1 +183833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.175827788,1 +183834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.720206176,1 +183835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.96305615,1 +183832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.901392145,1 +183837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.77804831,1 +183836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.667149686,1 +183838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.824813868,1 +183839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.041245251,1 +183841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.86018132,1 +183840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.191755571,1 +183842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.939021393,1 +183843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.095647888,1 +183844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.914250241,1 +183846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.356559105,1 +183845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.305713554,1 +183848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.876781503,1 +183847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.998353031,1 +183850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.477131517,1 +183849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.432085489,1 +183851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.142004526,1 +183853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.605769224,1 +183854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.726709439,1 +183852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.237224348,1 +183855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.150130021,1 +183857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.650247465,1 +183856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.543827241,1 +183858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.616461514,1 +183859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.581437651,1 +183860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.047093257,1 +183861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.328282514,1 +183862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.375809421,1 +183863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.9553895,1 +183865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.119226616,1 +183864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.955442841,1 +183868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.762327337,1 +183867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.658946706,1 +183866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.635658553,1 +183869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.2996364,1 +183870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.457529402,1 +183872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.619994892,1 +183871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.930215919,1 +183873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.851916641,1 +183874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.390887589,1 +183875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.051375245,1 +183876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.057793723,1 +183877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.325760418,1 +183878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.94924903,1 +183879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.766778465,1 +183880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.533824473,1 +183881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.906124723,1 +183882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.272219362,1 +183884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.627248728,1 +183885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.213938546,1 +183883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.697908301,1 +183886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.991205848,1 +183888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.641310249,1 +183887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.189379322,1 +183890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.434739747,1 +183889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.858585436,1 +183891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.064872568,1 +183892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.240341405,1 +183893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.421693916,1 +183895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.050341663,1 +183894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.722002358,1 +183897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.719990093,1 +183896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.261638742,1 +183899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.190179072,1 +183898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.438929916,1 +183900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.295091829,1 +183901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.881423698,1 +183903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.674589214,1 +183904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.151253812,1 +183902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.30844526,1 +183906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,1.265127472,1 +183907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.936914095,1 +183905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.840361165,1 +183908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,8.170352518,1 +183911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.564400949,1 +183910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.659315013,1 +183909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.692369941,1 +183912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.043239282,1 +183914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.771704926,1 +183913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.151385395,1 +183915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.230694947,1 +183916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.497246597,1 +183917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.732864099,1 +183919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.126503793,1 +183918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.194680309,1 +183920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.138707681,1 +183921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.723894998,1 +183922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.106940894,1 +183923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.320431306,1 +183926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.428016136,1 +183927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.590654935,1 +183924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.004339607,1 +183925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.692672356,1 +183930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.157995138,1 +183928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.298009892,1 +183931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,1.423923136,1 +183929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.194649235,1 +183932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.6828914,1 +183933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.466551065,1 +183934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.080121755,1 +183935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.958822356,1 +183936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.425748457,1 +183937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.561035165,1 +183938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.583385368,1 +183939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.967466609,1 +183941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.765010195,1 +183942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.476940542,1 +183940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.927070114,1 +183945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.652338583,1 +183944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.10492609,1 +183946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.996954207,1 +183947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.025316234,1 +183948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.622657022,1 +183943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,8.078790629,1 +183949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.734915594,1 +183950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.727986797,1 +183951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.49296685,1 +183953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.870976963,1 +183954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.343105522,1 +183955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.702195019,1 +183952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.41803351,1 +183956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.697587239,1 +183959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.097807872,1 +183957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.062903008,1 +183958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,8.484484362,1 +183960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.266443738,1 +183961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.243775923,1 +183962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.415877055,1 +183963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.481004314,1 +183964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.356308619,1 +183966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.140280507,1 +183968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.36967426,1 +183967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.752138742,1 +183969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.580516222,1 +183971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.767414552,1 +183965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.806956298,1 +183970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.385709713,1 +183974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.49012859,1 +183973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.7691138,1 +183975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.836704551,1 +183972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.794062201,1 +183976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.027443078,1 +183977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.499790757,1 +183978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.158555443,1 +183979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,1.876747729,1 +183982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.986032445,1 +183980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.925015915,1 +183981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.474250906,1 +183983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.699080362,1 +183984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.793549094,1 +183987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.041014432,1 +183986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,8.710413539,1 +183985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.439632778,1 +183988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.004341556,1 +183990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.78937318,1 +183989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,6.148877908,1 +183991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.456385783,1 +183992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.077018262,1 +183993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,7.966717234,1 +183994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.752414569,1 +183996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,2.112827295,1 +183995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.47616348,1 +183997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.625620914,1 +183998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,4.789110003,1 +183999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,3.786599118,1 +184000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,4,1,5.638821741,1 +193001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.626371969,1 +193002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.807645844,1 +193003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.760883777,1 +193004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.672691496,1 +193006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.519352891,1 +193005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.126983682,1 +193009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.835847509,1 +193008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.080136201,1 +193010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.782377335,1 +193007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.320762912,1 +193012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.079585588,1 +193011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.560035642,1 +193013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.674043168,1 +193015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.87857315,1 +193014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.384297057,1 +193016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.581966147,1 +193017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.888883344,1 +193018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.640871571,1 +193019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.244425468,1 +193020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.655171104,1 +193021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.754559288,1 +193022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.800999661,1 +193025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.123642998,1 +193023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.170903083,1 +193024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.360699353,1 +193026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.479619075,1 +193027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.777049305,1 +193029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.139614434,1 +193030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.389065463,1 +193028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.570717125,1 +193031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.308144195,1 +193033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.220798982,1 +193034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.31656276,1 +193035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,8.522075053,1 +193032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.858231181,1 +193036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.736573188,1 +193037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.003384867,1 +193038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.753981038,1 +193040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.616532175,1 +193039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.219857454,1 +193041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.839386321,1 +193044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.458031171,1 +193042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.898721456,1 +193043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.935154312,1 +193045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.347642992,1 +193047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.445302706,1 +193046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.869572032,1 +193048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.183052536,1 +193049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.863791146,1 +193050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.437421957,1 +193052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.107617953,1 +193053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.155482654,1 +193054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.727177301,1 +193055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.388766853,1 +193051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.151846438,1 +193057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.335209299,1 +193056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.235621669,1 +193059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.713731087,1 +193058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.539100458,1 +193060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,8.169745841,1 +193062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.627357958,1 +193061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.07424769,1 +193063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.780176805,1 +193064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.156288667,1 +193066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.884721629,1 +193065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.246225814,1 +193067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.157806739,1 +193068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.684488837,1 +193069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.45271894,1 +193071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.893579656,1 +193072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.64119104,1 +193070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.170268026,1 +193074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.649493298,1 +193073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.528775871,1 +193075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.181752628,1 +193076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.178753743,1 +193077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.39759998,1 +193079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.563050757,1 +193078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.145234353,1 +193080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.730295789,1 +193081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.542244476,1 +193082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.387272463,1 +193083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.245939988,1 +193084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.449271241,1 +193085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.189146965,1 +193086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.976483484,1 +193087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.507725018,1 +193089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.645510482,1 +193088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.881891193,1 +193090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.809273335,1 +193092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,8.224292857,1 +193094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.605708586,1 +193093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.425854117,1 +193096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.062958261,1 +193095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.356274369,1 +193097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,9.234056939,1 +193091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.060694829,1 +193099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.692050827,1 +193098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.425263804,1 +193100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.399868493,1 +193102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.759109814,1 +193103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.967740668,1 +193101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.110459576,1 +193104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.595359735,1 +193105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,8.103504131,1 +193107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.882730994,1 +193106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.990357288,1 +193108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.219209817,1 +193109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.464617949,1 +193111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.85044765,1 +193112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.087306819,1 +193113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.265512972,1 +193114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.821407999,1 +193115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,8.174613609,1 +193110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.697343837,1 +193116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.317117856,1 +193117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.756629301,1 +193118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.649576553,1 +193120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.346812815,1 +193119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.516920418,1 +193121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.991052844,1 +193122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.811573054,1 +193124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,9.060893194,1 +193123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.208817979,1 +193125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.438931113,1 +193126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.865581056,1 +193128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,10.23593425,1 +193127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.818111655,1 +193129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.362725339,1 +193130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.704925649,1 +193131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.526758674,1 +193133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,9.144287214,1 +193132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.929191146,1 +193135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.637596335,1 +193134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.627437955,1 +193136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.847650217,1 +193137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.617989451,1 +193138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.952566815,1 +193139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.459340009,1 +193140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.240816888,1 +193141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,0.84901261,1 +193142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.781713752,1 +193143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.245726891,1 +193144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.991251443,1 +193145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.549073754,1 +193146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.633126881,1 +193147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.080171224,1 +193148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.40460147,1 +193149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.05676491,1 +193152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.703162761,1 +193150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.03828963,1 +193151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.847132796,1 +193153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.985013371,1 +193154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.822428784,1 +193155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.195725523,1 +193156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.487904111,1 +193157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.867507459,1 +193158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.021824675,1 +193160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,8.558214451,1 +193159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.404466864,1 +193162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.60121575,1 +193161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.968925073,1 +193163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.618614958,1 +193164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.925342298,1 +193165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.058479425,1 +193166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.101401162,1 +193167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.213765971,1 +193168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.765903477,1 +193169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.138753323,1 +193171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.066007733,1 +193172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.289689883,1 +193170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.845505802,1 +193173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.80517655,1 +193174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.550848799,1 +193175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.00675754,1 +193176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.496084802,1 +193177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.585640577,1 +193178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.713073428,1 +193179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.271074572,1 +193180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,0.893164983,1 +193181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.948576819,1 +193182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.32107356,1 +193183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.89205484,1 +193184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.824928713,1 +193185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.769760916,1 +193186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.288226921,1 +193187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.827627142,1 +193188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.272466935,1 +193189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.10908347,1 +193190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.373206173,1 +193191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.614937394,1 +193192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.354212421,1 +193193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.48747667,1 +193194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.290794426,1 +193195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.629830287,1 +193196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.619066197,1 +193197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.754979614,1 +193198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.153302313,1 +193199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.56477607,1 +193201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.12942288,1 +193202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.998370645,1 +193203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.835064537,1 +193204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.098985412,1 +193205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,8.650636465,1 +193200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.925542162,1 +193206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.386771153,1 +193207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.267569828,1 +193208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.759182681,1 +193210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.777594898,1 +193211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.710490295,1 +193209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,9.354530248,1 +193212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.297665663,1 +193213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.141929529,1 +193214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.80653029,1 +193215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.971467536,1 +193217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.609432714,1 +193216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.26497189,1 +193218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.145250191,1 +193219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.20857122,1 +193220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.653943504,1 +193221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,8.105994249,1 +193222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.200594223,1 +193224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.928276591,1 +193225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.642787024,1 +193226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.799957955,1 +193223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.794829841,1 +193227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.155420257,1 +193228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.943536951,1 +193229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.332578764,1 +193230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.319281573,1 +193231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.678716994,1 +193233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.660147669,1 +193232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.457272516,1 +193234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.318029553,1 +193235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.197859836,1 +193236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.585092917,1 +193237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.505602339,1 +193239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.850789994,1 +193240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.182550939,1 +193241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.49213587,1 +193238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.155346799,1 +193244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.21527458,1 +193242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.564593149,1 +193243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,9.437809663,1 +193245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.029072177,1 +193248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.939067266,1 +193247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.250752483,1 +193246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.558762655,1 +193249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.783438033,1 +193251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.805991213,1 +193250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.643167578,1 +193252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.915440801,1 +193253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.633250754,1 +193254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.517747491,1 +193255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.868799388,1 +193256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.140015349,1 +193258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.202293351,1 +193259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.241937252,1 +193257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.774777593,1 +193260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.15493264,1 +193261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.284171876,1 +193262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.922234439,1 +193263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.394946231,1 +193264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.089273549,1 +193265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.752154884,1 +193266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.989116973,1 +193267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.710094948,1 +193268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.394442018,1 +193269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.450830593,1 +193270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.032581756,1 +193272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.024099522,1 +193273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.977089656,1 +193271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.695065403,1 +193275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.745588594,1 +193274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,9.343220935,1 +193276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.007591614,1 +193277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.092252288,1 +193278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.751929894,1 +193279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.563749661,1 +193280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.630409443,1 +193281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.155353424,1 +193282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.293580627,1 +193283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.230753146,1 +193284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.914718141,1 +193287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.563958893,1 +193286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.039946972,1 +193288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.415121902,1 +193285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.071651516,1 +193289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.276981042,1 +193290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.347719487,1 +193292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.423325281,1 +193291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.536123115,1 +193293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,8.327510708,1 +193294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.110759539,1 +193295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.803771373,1 +193296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.253868606,1 +193297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.357645892,1 +193298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.815929406,1 +193300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.498054793,1 +193301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.002177813,1 +193302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,8.14527432,1 +193299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.478720614,1 +193304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.909479307,1 +193303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.15959708,1 +193305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.722550043,1 +193306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.081420217,1 +193308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,0.88323204,1 +193309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.763816089,1 +193307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.35877243,1 +193310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.532731173,1 +193311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.270004088,1 +193312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.415501816,1 +193315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.310608937,1 +193316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.592626136,1 +193314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.790315302,1 +193313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,9.228236556,1 +193319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.841463474,1 +193320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.852265364,1 +193317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.122129784,1 +193318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.758102681,1 +193322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.730154433,1 +193323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.793417182,1 +193324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.314134204,1 +193321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.865639075,1 +193326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.260780085,1 +193327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.189401563,1 +193328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.67360037,1 +193329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.332954233,1 +193330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.584921367,1 +193325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.873839153,1 +193331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.272429258,1 +193332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.488417843,1 +193333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.801432141,1 +193335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.956679599,1 +193334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.356369024,1 +193337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.852812489,1 +193336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.532301494,1 +193339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.008350689,1 +193341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.905702441,1 +193340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.52461263,1 +193342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.724661674,1 +193343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.211362781,1 +193344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.988188723,1 +193338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.262219409,1 +193346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.183410055,1 +193347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.364706586,1 +193348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,8.964682965,1 +193345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.643457235,1 +193349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.256986654,1 +193350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.487510384,1 +193351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.26872408,1 +193352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.407244962,1 +193353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.686047479,1 +193356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.128903779,1 +193355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.165244018,1 +193354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.214568921,1 +193357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.682027782,1 +193358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.106269853,1 +193360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.145127447,1 +193361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.863799196,1 +193362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.52586404,1 +193359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.423994627,1 +193363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.517298591,1 +193364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.453313015,1 +193365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,8.433554728,1 +193367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.877366397,1 +193366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.945117544,1 +193368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.830217213,1 +193369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.643544072,1 +193370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.756331748,1 +193372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.983174335,1 +193373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.40537627,1 +193371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.861260112,1 +193374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.384489017,1 +193375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.934606522,1 +193377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.679505929,1 +193379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.486021278,1 +193378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.735438199,1 +193376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.459733355,1 +193382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.658855433,1 +193383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.988362869,1 +193381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.81569296,1 +193380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.801563384,1 +193386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.802933756,1 +193385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.642796847,1 +193384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.634841064,1 +193388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.049107299,1 +193389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.587104689,1 +193387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,8.587681386,1 +193390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.117839523,1 +193391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.448517976,1 +193394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.028187694,1 +193393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.981959147,1 +193392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.989367302,1 +193395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.382738814,1 +193397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,8.416416002,1 +193396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.885080504,1 +193398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.27269366,1 +193399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.623207736,1 +193401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.247653813,1 +193402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.111942714,1 +193400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.80304671,1 +193403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.611810118,1 +193404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.958590669,1 +193405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.187008353,1 +193406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.550365956,1 +193407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.221823117,1 +193408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.698957408,1 +193409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.140295637,1 +193410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.676776872,1 +193411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.488641107,1 +193412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.250512236,1 +193413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.814614635,1 +193414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.588398056,1 +193415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.191391613,1 +193416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.63939385,1 +193417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.825872901,1 +193418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.779987173,1 +193419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.432752808,1 +193420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.357678627,1 +193421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.476287062,1 +193422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.365504157,1 +193423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.25774757,1 +193424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.891977812,1 +193425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.887680215,1 +193427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.672719887,1 +193426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.014317142,1 +193428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.952770987,1 +193430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,8.283558444,1 +193431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.633893342,1 +193432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.31264521,1 +193429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.998695506,1 +193433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.177789912,1 +193434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.413160486,1 +193435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.60672622,1 +193436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.680757381,1 +193437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.443809397,1 +193438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.53410888,1 +193439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.116321435,1 +193440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.780475467,1 +193441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.27129169,1 +193442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.523523226,1 +193445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.269823308,1 +193443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.976951205,1 +193446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.328438303,1 +193444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.156967986,1 +193447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.655273483,1 +193449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.896869807,1 +193450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.808515751,1 +193451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.980529051,1 +193448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.224237317,1 +193452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.212619643,1 +193453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.886521584,1 +193454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.60717042,1 +193455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.268079714,1 +193456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.660540805,1 +193458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.443997737,1 +193457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.390790998,1 +193459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.635864657,1 +193460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.41794842,1 +193461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.234422612,1 +193462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.039614048,1 +193464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.135345452,1 +193465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.028628085,1 +193463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.672705561,1 +193466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.927946342,1 +193467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.095184846,1 +193468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.172036552,1 +193469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.300663289,1 +193470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.028987563,1 +193471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.065785461,1 +193472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,0.996971515,1 +193473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.744304833,1 +193474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.137581648,1 +193475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.47776999,1 +193476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.096619231,1 +193477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.360079249,1 +193478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.69882235,1 +193479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.620124222,1 +193480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.044535872,1 +193482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.732507479,1 +193483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.4381104,1 +193484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.160246959,1 +193481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.797230526,1 +193486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.99738937,1 +193485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.482373862,1 +193487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.334976461,1 +193488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.898364959,1 +193490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.086440314,1 +193491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.911369728,1 +193489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.257217693,1 +193492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.840977817,1 +193493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.298206433,1 +193494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.261016977,1 +193495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.414884692,1 +193496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.953126498,1 +193497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.135294955,1 +193498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.03579895,1 +193499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.466096304,1 +193501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.503859146,1 +193500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.589931509,1 +193503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.337722744,1 +193502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.406610221,1 +193505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.865537646,1 +193504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.548803026,1 +193507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.467642169,1 +193508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.116939996,1 +193509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.958438234,1 +193510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.336946398,1 +193506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.247738657,1 +193511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,10.02506573,1 +193512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.614629674,1 +193513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.204390257,1 +193515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.818146144,1 +193516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.999838262,1 +193517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.401526905,1 +193514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.520941384,1 +193518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.602609684,1 +193519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.52121628,1 +193521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.108315332,1 +193520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.87839768,1 +193522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.880695677,1 +193523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.308956909,1 +193525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.274946411,1 +193526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,8.130135182,1 +193524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.701809112,1 +193527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.965799535,1 +193528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.661696258,1 +193529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.608495348,1 +193531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.050889373,1 +193532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.934674187,1 +193530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.255239507,1 +193533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.852293072,1 +193534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.884586991,1 +193535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.838864479,1 +193536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.546239345,1 +193537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.119107948,1 +193538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.340162382,1 +193539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.857479689,1 +193540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.096378434,1 +193542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.87421927,1 +193541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.785458116,1 +193543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.008306164,1 +193545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.563363358,1 +193546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,9.512482245,1 +193547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.556398645,1 +193544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.77686101,1 +193549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.762467542,1 +193548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.362752435,1 +193550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.030180934,1 +193551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.787232068,1 +193552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.580042813,1 +193553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.396906353,1 +193554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.063932417,1 +193556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.938337076,1 +193557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.802731704,1 +193555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.96327506,1 +193558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.451644814,1 +193560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.704717437,1 +193559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.07904286,1 +193561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.786982927,1 +193562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.866662115,1 +193563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.601784713,1 +193565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.643145064,1 +193564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.120119897,1 +193566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.020268753,1 +193567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.944369198,1 +193569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.735667338,1 +193570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.977601325,1 +193568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.688012789,1 +193571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.902404841,1 +193572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.688784133,1 +193573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.137357164,1 +193574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.470128331,1 +193575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.893616294,1 +193576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.881337134,1 +193578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.528725621,1 +193577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.024103433,1 +193579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.074817639,1 +193580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.565585391,1 +193581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.256256041,1 +193583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.34602469,1 +193584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.99335542,1 +193585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.525912139,1 +193586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.702604091,1 +193587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.013363948,1 +193582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.179125356,1 +193589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.991865823,1 +193588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.010860064,1 +193590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.000966248,1 +193593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.304310465,1 +193591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.3837942,1 +193592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.776220926,1 +193594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.169270531,1 +193596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.412179876,1 +193597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.319346198,1 +193598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.91819648,1 +193595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.85262268,1 +193599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.081431128,1 +193600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.949363605,1 +193601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.886785587,1 +193602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.368212288,1 +193604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.482515251,1 +193605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.611414537,1 +193606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.00821852,1 +193607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.799602343,1 +193603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.630413754,1 +193608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.373820606,1 +193611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.435620128,1 +193612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,8.057694772,1 +193610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.568965183,1 +193609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.550820056,1 +193613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.727713501,1 +193614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.849359517,1 +193615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.595355948,1 +193616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.199667,1 +193617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.278237063,1 +193619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.10324421,1 +193620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.077309869,1 +193618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.522690189,1 +193622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.915052451,1 +193623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.700087882,1 +193621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.632173211,1 +193624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.102340556,1 +193627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.788171351,1 +193625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,8.853496919,1 +193626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.516625952,1 +193629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.985186068,1 +193628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.052545079,1 +193630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.005703071,1 +193631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.660847241,1 +193632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.108960839,1 +193634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.80036334,1 +193635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.286158746,1 +193633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.130550063,1 +193637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.19254377,1 +193638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.962574749,1 +193639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.555908661,1 +193636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.070148945,1 +193640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.536708296,1 +193642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.258349448,1 +193641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.02124364,1 +193643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.837603966,1 +193644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.1120917,1 +193646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.657153228,1 +193647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.609133824,1 +193648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.225175902,1 +193645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,11.28224127,1 +193649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.348928596,1 +193650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.468464807,1 +193651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.231895634,1 +193653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.898355602,1 +193652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.379348251,1 +193654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.062872597,1 +193655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.183576357,1 +193657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.981156306,1 +193656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.5648675,1 +193658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.904936804,1 +193659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.352981779,1 +193660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.261507106,1 +193661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.837625016,1 +193662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.43346848,1 +193663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.130753262,1 +193666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,9.980734926,1 +193667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.704762344,1 +193665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.104786556,1 +193664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.62706295,1 +193670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.634204396,1 +193671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.039365226,1 +193668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.385196393,1 +193669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.719879819,1 +193673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.806178537,1 +193674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.425932451,1 +193672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.467094502,1 +193675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.081374499,1 +193676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.599026702,1 +193677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.953024093,1 +193679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.288078764,1 +193678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.054597561,1 +193681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.27944749,1 +193682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.832874956,1 +193683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.308693323,1 +193680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.264117477,1 +193684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.16256048,1 +193685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.492984033,1 +193687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.124698179,1 +193686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.573039691,1 +193688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.087124812,1 +193689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.526172345,1 +193690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.593277561,1 +193691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.582228799,1 +193692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.91454973,1 +193693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.202913307,1 +193694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.914409891,1 +193696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.919386907,1 +193695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.878237343,1 +193697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.122252789,1 +193698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.002119762,1 +193700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.722432304,1 +193699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.83422169,1 +193701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.168625889,1 +193702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.09625711,1 +193703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.703253649,1 +193704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.018418604,1 +193705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.320384857,1 +193706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.261215788,1 +193708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.769993786,1 +193707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.090237321,1 +193709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.435738954,1 +193710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.913481941,1 +193711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,0.652877421,1 +193713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.304138963,1 +193712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.03446564,1 +193714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.654872718,1 +193715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.276609345,1 +193716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.802460958,1 +193718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.29389659,1 +193719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.301737581,1 +193720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.141069077,1 +193717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.909513926,1 +193721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.743766161,1 +193722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.54304945,1 +193723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.109476686,1 +193725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.992524805,1 +193726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.376250538,1 +193727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.299401545,1 +193724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.724645258,1 +193730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.087236215,1 +193728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.218505219,1 +193729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.569152047,1 +193731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.333404285,1 +193732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.127397279,1 +193733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.93715473,1 +193735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,8.259261723,1 +193734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,9.568920419,1 +193736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.807699607,1 +193737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.919984867,1 +193739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.113424118,1 +193741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.355509791,1 +193740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.540321454,1 +193742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.856262076,1 +193738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.157406527,1 +193744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.266393457,1 +193743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.525605184,1 +193745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.313941812,1 +193746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.263161446,1 +193748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.101285545,1 +193747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.757398559,1 +193749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.682738146,1 +193750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.579272037,1 +193751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.229118356,1 +193752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,8.231406984,1 +193753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.693694341,1 +193754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.120187953,1 +193755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.93147841,1 +193756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.952094003,1 +193757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.455742259,1 +193760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.621395408,1 +193759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.371560637,1 +193761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.43114217,1 +193758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.213641767,1 +193763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.992974257,1 +193762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.570619931,1 +193764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.151933195,1 +193765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.839253344,1 +193766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.928182696,1 +193768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.674320591,1 +193767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.669403381,1 +193769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.290698232,1 +193770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.126276193,1 +193771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.832810271,1 +193772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.679285154,1 +193773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.308279223,1 +193775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.436121481,1 +193776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.474718694,1 +193774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.389568996,1 +193777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.801106037,1 +193779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.56124382,1 +193778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.563407146,1 +193780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.859041302,1 +193781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.080824802,1 +193782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.253914023,1 +193783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.85925222,1 +193784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.532859924,1 +193785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.479004691,1 +193786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.021056021,1 +193787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.948866711,1 +193788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,8.105839063,1 +193789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.618302363,1 +193791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.128957328,1 +193792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.469630328,1 +193790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.168379799,1 +193793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.458505181,1 +193796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.914912779,1 +193794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,8.654026074,1 +193797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.250030496,1 +193795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.746262504,1 +193798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.515569948,1 +193799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.890513481,1 +193800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.888148934,1 +193801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.439496305,1 +193803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.801369332,1 +193802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.0548479,1 +193804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.0919633,1 +193805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.197860913,1 +193807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.174164725,1 +193806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.24452907,1 +193808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.512015342,1 +193809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.096135432,1 +193812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.378465273,1 +193811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.167806915,1 +193810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.589490855,1 +193813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.262957126,1 +193814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.70839408,1 +193815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.055532145,1 +193816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.140076876,1 +193819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.654785297,1 +193818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.038274553,1 +193817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.110758839,1 +193820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.204635277,1 +193822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.787156484,1 +193821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.018569587,1 +193824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.032839962,1 +193823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.53448024,1 +193825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.707990312,1 +193826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.026823967,1 +193828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.115571877,1 +193829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.282129703,1 +193830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.557728267,1 +193831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.929576264,1 +193832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.658626718,1 +193833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.208007792,1 +193827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.882406809,1 +193834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.133815079,1 +193835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.079083153,1 +193837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,8.068754903,1 +193836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.393079283,1 +193839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.771805214,1 +193840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.369571249,1 +193841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.273419367,1 +193838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.75158927,1 +193844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.098163045,1 +193843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.308125724,1 +193842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.894482225,1 +193845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.264345367,1 +193848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.451330112,1 +193846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.19285332,1 +193849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.587345443,1 +193850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.001805511,1 +193851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.967306466,1 +193847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.92776058,1 +193852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.992265156,1 +193855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.987903777,1 +193853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.659364114,1 +193857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.60558282,1 +193854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.311936545,1 +193856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.44898884,1 +193858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.940130582,1 +193860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.541371278,1 +193859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.194684365,1 +193861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.987256711,1 +193862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,8.368298585,1 +193863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.548271069,1 +193865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.835936165,1 +193866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.455288709,1 +193867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.217528367,1 +193864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.06895781,1 +193869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.237956207,1 +193868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,8.202669237,1 +193870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.531432919,1 +193871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.497569308,1 +193872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.597141671,1 +193875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.227142835,1 +193873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.768232124,1 +193874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.898003825,1 +193877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.852398844,1 +193876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.682384327,1 +193879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.689610213,1 +193878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.779228644,1 +193881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.51821198,1 +193882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.017362305,1 +193883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.508670552,1 +193880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.579937801,1 +193884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.798814803,1 +193887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.448490524,1 +193885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.073734702,1 +193888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.222006161,1 +193889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.413635025,1 +193890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.644283179,1 +193886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.403111615,1 +193891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.799114874,1 +193893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.251729351,1 +193892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.512454911,1 +193894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.082159408,1 +193895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.484424204,1 +193896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.753586953,1 +193898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.154975483,1 +193897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.805152272,1 +193900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.970272764,1 +193899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.098006781,1 +193901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.087600537,1 +193902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.335683608,1 +193904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.372430321,1 +193903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.76367589,1 +193906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.243517789,1 +193907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.372506519,1 +193908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.45354385,1 +193909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.219382237,1 +193910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.922052908,1 +193911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.802404982,1 +193905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.061627446,1 +193913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.877008589,1 +193912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.274039342,1 +193915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.592770196,1 +193914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.721487665,1 +193916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.675849372,1 +193918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.97108844,1 +193917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.489265066,1 +193919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.252083191,1 +193920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.930050737,1 +193921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.071852496,1 +193922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,8.26977484,1 +193924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,9.923800024,1 +193923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.22299047,1 +193926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.278908584,1 +193927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.722201321,1 +193928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.302615668,1 +193929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.082612254,1 +193925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.307001854,1 +193933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.560147662,1 +193931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.687642761,1 +193930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.835902886,1 +193934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.988725448,1 +193932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,8.061501486,1 +193935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.482294382,1 +193936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.331115297,1 +193937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.209902034,1 +193939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.847578774,1 +193938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.088213247,1 +193940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.968191937,1 +193941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.299769425,1 +193942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.005420679,1 +193944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.810462848,1 +193945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.446526729,1 +193943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.351036689,1 +193946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.956651091,1 +193949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.240733091,1 +193947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,8.804134592,1 +193948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.853416271,1 +193950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.751139102,1 +193951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.774369325,1 +193953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.412538989,1 +193952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.063982436,1 +193954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.709603359,1 +193955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.902240726,1 +193956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.3373276,1 +193957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.619562857,1 +193958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.480318915,1 +193959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,1.862265041,1 +193960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.802395897,1 +193962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.652789447,1 +193963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.520531581,1 +193964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.534569583,1 +193961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.837688006,1 +193965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.31232401,1 +193966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.414632641,1 +193967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.042432567,1 +193968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.21740182,1 +193969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.436646665,1 +193970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.107762289,1 +193971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,9.042413408,1 +193972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.677640339,1 +193973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.563793664,1 +193974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.541656729,1 +193975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.914552306,1 +193977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.152873295,1 +193978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.684182707,1 +193979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.038727609,1 +193976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.405047125,1 +193980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.149664965,1 +193981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.734523053,1 +193983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.03327771,1 +193982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.348548777,1 +193984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.676496155,1 +193985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.71370026,1 +193986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.082378843,1 +193987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.536103569,1 +193988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,2.81655177,1 +193989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.881498173,1 +193990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.036805302,1 +193991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.635466513,1 +193992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,3.075322552,1 +193993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.909260246,1 +193996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.540908897,1 +193994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,7.171561267,1 +193997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,4.212980242,1 +193998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,8.218592778,1 +193995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.457024914,1 +193999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,6.099840237,1 +194000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,4,1,5.711498073,1 +203001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.850597658,0.998 +203002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,10.35472486,0.998 +203004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.858091551,0.998 +203005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.889634878,0.998 +203003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.717261125,0.998 +203007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.837792159,0.998 +203006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.711539549,0.998 +203008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.66271348,0.998 +203009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.907613657,0.998 +203010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.457181946,0.998 +203012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.912647116,0.998 +203011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.067144188,0.998 +203013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.24513094,0.998 +203014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.503365059,0.998 +203015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.807232263,0.998 +203016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.209762442,0.998 +203017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.530151061,0.998 +203018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.442808644,0.998 +203019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.705990063,0.998 +203020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.790009373,0.998 +203022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.828705504,0.998 +203021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.740916252,0.998 +203023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.918386882,0.998 +203024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.775982463,0.998 +203025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.337949487,0.998 +203026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.377469075,0.998 +203027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,8.001700845,0.998 +203028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,8.132182257,0.998 +203029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.629794192,0.998 +203030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.943777186,0.998 +203031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.973820779,0.998 +203032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.925655724,0.998 +203033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.185657066,0.998 +203034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.484418463,0.998 +203035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.121942303,0.998 +203037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.103085795,0.998 +203036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.850782811,0.998 +203039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.961669553,0.998 +203038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,10.06067047,0.998 +203040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.113959786,0.998 +203041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.074148963,0.998 +203042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.159121624,0.998 +203043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.569010644,0.998 +203044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.217274716,0.998 +203046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.862103446,0.998 +203047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.034379624,0.998 +203048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.884826386,0.998 +203049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.38512132,0.998 +203050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.393430795,0.998 +203045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.469560778,0.998 +203051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.516908398,0.998 +203052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.533313011,0.998 +203054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.09126939,0.998 +203053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,8.159366098,0.998 +203055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.099237729,0.998 +203057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.991464357,0.998 +203056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.564944112,0.998 +203058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.847800101,0.998 +203059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.886138336,0.998 +203060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.162858321,0.998 +203061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.275616831,0.998 +203062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.222460174,0.998 +203064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,8.174834961,0.998 +203065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.377066573,0.998 +203066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.594828618,0.998 +203063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.774557578,0.998 +203067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.788297816,0.998 +203068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.325618182,0.998 +203070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.330925159,0.998 +203069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.802813049,0.998 +203071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.21952898,0.998 +203072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.954499174,0.998 +203073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.374989069,0.998 +203074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.343290186,0.998 +203075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.129110603,0.998 +203076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.240178448,0.998 +203078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.806376509,0.998 +203079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.899427676,0.998 +203080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.933518569,0.998 +203081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.738794524,0.998 +203082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.163626248,0.998 +203077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.088911064,0.998 +203083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.708348636,0.998 +203084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.548725814,0.998 +203086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.776700933,0.998 +203085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.49331753,0.998 +203087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.780476311,0.998 +203088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.613139387,0.998 +203089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.378086811,0.998 +203090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.608186919,0.998 +203091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.721888684,0.998 +203092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.758474123,0.998 +203094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.002018983,0.998 +203093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.14946335,0.998 +203095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.954820049,0.998 +203096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.481615326,0.998 +203097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.75085991,0.998 +203099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.336786316,0.998 +203100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.132948731,0.998 +203098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.029857372,0.998 +203101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.142951729,0.998 +203102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.390993221,0.998 +203103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.284517733,0.998 +203104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.293195896,0.998 +203105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.591496122,0.998 +203106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,8.137052366,0.998 +203107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.140829418,0.998 +203108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.674579605,0.998 +203109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.753096891,0.998 +203110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.135367,0.998 +203112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.724247563,0.998 +203113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.44746529,0.998 +203114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,9.904839512,0.998 +203111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.830828126,0.998 +203115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.334657415,0.998 +203116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.867432436,0.998 +203117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.24273857,0.998 +203119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.753647401,0.998 +203120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.456827013,0.998 +203118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.772351207,0.998 +203121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.350323491,0.998 +203122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.86845863,0.998 +203123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.429839265,0.998 +203124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.974046489,0.998 +203127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,11.30625448,0.998 +203126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.637320686,0.998 +203125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.31837924,0.998 +203129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.907802867,0.998 +203128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.925442773,0.998 +203130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.697319586,0.998 +203131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.275108965,0.998 +203132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.796127661,0.998 +203133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.007174343,0.998 +203134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.995304491,0.998 +203135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.324988911,0.998 +203136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.028634599,0.998 +203137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.821831644,0.998 +203138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.757592246,0.998 +203140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,10.13996138,0.998 +203139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.472284572,0.998 +203142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.865920499,0.998 +203144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.35927548,0.998 +203141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.897936246,0.998 +203143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.379924885,0.998 +203145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.542298122,0.998 +203147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.566742745,0.998 +203146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.844376876,0.998 +203148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.720005972,0.998 +203149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.934948385,0.998 +203150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.19384431,0.998 +203151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.31824793,0.998 +203152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,9.0561068,0.998 +203153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,9.419852899,0.998 +203154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,9.476420013,0.998 +203156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.678317352,0.998 +203155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.484465348,0.998 +203157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.3335558,0.998 +203159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.690232147,0.998 +203160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.481972081,0.998 +203158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.115398069,0.998 +203161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.554698437,0.998 +203163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.244419716,0.998 +203162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.524278672,0.998 +203164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.678454907,0.998 +203165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.967513839,0.998 +203167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.74547939,0.998 +203168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.786618257,0.998 +203166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.383689917,0.998 +203169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.826995106,0.998 +203170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.251023993,0.998 +203172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.37052695,0.998 +203171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.94552278,0.998 +203173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.68484865,0.998 +203174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.151000937,0.998 +203176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.591300094,0.998 +203175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.588169404,0.998 +203177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.021931317,0.998 +203178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.274065395,0.998 +203180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.470375088,0.998 +203181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.662475739,0.998 +203179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.345017833,0.998 +203182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.400800149,0.998 +203183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.011882891,0.998 +203184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.514180953,0.998 +203186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.473221472,0.998 +203187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.1617331,0.998 +203188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.653416941,0.998 +203185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.744891937,0.998 +203189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.170078874,0.998 +203192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.371722984,0.998 +203190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.756513573,0.998 +203191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,8.302995337,0.998 +203194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.621351845,0.998 +203193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.291598319,0.998 +203195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.415600881,0.998 +203196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.156011356,0.998 +203199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.366369711,0.998 +203200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.092772842,0.998 +203198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.835111426,0.998 +203197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.14525867,0.998 +203201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.698658326,0.998 +203202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.797183556,0.998 +203203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.564252177,0.998 +203204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.234225267,0.998 +203205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.410785486,0.998 +203208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.251971639,0.998 +203207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,8.228873122,0.998 +203206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.653040627,0.998 +203209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,8.04612335,0.998 +203210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.655073456,0.998 +203212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.00680095,0.998 +203213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.379940178,0.998 +203214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.516744009,0.998 +203215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.135703729,0.998 +203211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.752081029,0.998 +203216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,10.503015,0.998 +203218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.643798367,0.998 +203219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.647450958,0.998 +203217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.376771269,0.998 +203220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.457747867,0.998 +203222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.842977859,0.998 +203221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.533898183,0.998 +203223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.681916586,0.998 +203225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.518364883,0.998 +203224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.144571031,0.998 +203226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.079116533,0.998 +203227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.9204797,0.998 +203229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.330402551,0.998 +203230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.368375829,0.998 +203231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.342942011,0.998 +203232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.156950305,0.998 +203233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.104419226,0.998 +203235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.113534189,0.998 +203236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.47069873,0.998 +203228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.538144168,0.998 +203234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.0204666,0.998 +203239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.586548063,0.998 +203237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.599783749,0.998 +203240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,0.957050397,0.998 +203238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.061707114,0.998 +203241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.420245996,0.998 +203242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.961133313,0.998 +203243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.895821971,0.998 +203244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.793882891,0.998 +203245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.25831817,0.998 +203246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.040247732,0.998 +203247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.167398272,0.998 +203248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.876234349,0.998 +203251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.995840679,0.998 +203250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.023928649,0.998 +203252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.706593669,0.998 +203249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.972032378,0.998 +203254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.922633339,0.998 +203253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.453107192,0.998 +203255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.081352996,0.998 +203256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.012474912,0.998 +203258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.935346812,0.998 +203257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.878605497,0.998 +203259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.719976552,0.998 +203260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,8.812507532,0.998 +203261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.708939259,0.998 +203262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.105393247,0.998 +203263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.695797151,0.998 +203264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,8.607099717,0.998 +203265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.077602908,0.998 +203266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.416772144,0.998 +203267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.599369663,0.998 +203268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.913598739,0.998 +203269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.841808815,0.998 +203271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,8.462268688,0.998 +203270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.862256642,0.998 +203273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.385809279,0.998 +203272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.064307706,0.998 +203274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.009380229,0.998 +203275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.599141593,0.998 +203276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.831790058,0.998 +203278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.044083511,0.998 +203279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.073368699,0.998 +203277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.80216966,0.998 +203281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.676691473,0.998 +203280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.633854924,0.998 +203282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,8.576539054,0.998 +203283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.11275861,0.998 +203284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.236647328,0.998 +203285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.092294037,0.998 +203287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.155197174,0.998 +203286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.322323497,0.998 +203288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.011215066,0.998 +203289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.520978955,0.998 +203291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.797089809,0.998 +203290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.642982239,0.998 +203292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.438714251,0.998 +203293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.5258382,0.998 +203294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.183886972,0.998 +203296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.33526007,0.998 +203295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.529375558,0.998 +203297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.315340415,0.998 +203298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.161029499,0.998 +203299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.918130627,0.998 +203300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.610415723,0.998 +203301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.340309095,0.998 +203303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.66369578,0.998 +203305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,9.569753288,0.998 +203304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.412216488,0.998 +203306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.994236301,0.998 +203302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,8.393847371,0.998 +203307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.975742906,0.998 +203309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.501202457,0.998 +203308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.723434542,0.998 +203311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.911963339,0.998 +203310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.747684251,0.998 +203312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.285233313,0.998 +203313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.163269283,0.998 +203315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.138761691,0.998 +203314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,0.792304557,0.998 +203316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.019466199,0.998 +203317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.48389085,0.998 +203318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.608648639,0.998 +203319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.251782134,0.998 +203320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.304868349,0.998 +203323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.714338025,0.998 +203321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.58047404,0.998 +203324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.60974967,0.998 +203325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.836303251,0.998 +203326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.661518727,0.998 +203327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.739256564,0.998 +203322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.637428849,0.998 +203328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.515712485,0.998 +203329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.979995036,0.998 +203331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.380393488,0.998 +203330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.06003234,0.998 +203332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.858376926,0.998 +203333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.671503218,0.998 +203335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,0.386575373,0.998 +203334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.906709592,0.998 +203336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.973549719,0.998 +203338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.309712147,0.998 +203337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.470714857,0.998 +203339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.542570928,0.998 +203340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.006201425,0.998 +203341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.350504429,0.998 +203342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.390186864,0.998 +203343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.685314686,0.998 +203345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.27220423,0.998 +203344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.689735371,0.998 +203346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.455021986,0.998 +203347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,10.14762207,0.998 +203348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.686822974,0.998 +203349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.136575132,0.998 +203350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.304289868,0.998 +203353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.381953469,0.998 +203351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.180192425,0.998 +203352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.696834377,0.998 +203354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.449758694,0.998 +203355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.62247072,0.998 +203356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.004845513,0.998 +203357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.530101178,0.998 +203358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.673571521,0.998 +203359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.595767226,0.998 +203360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.952278923,0.998 +203361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.174686282,0.998 +203362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.340872055,0.998 +203363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.613891273,0.998 +203364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.214497937,0.998 +203365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.275149137,0.998 +203367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.764511704,0.998 +203366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.240272044,0.998 +203368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.636650931,0.998 +203369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.599864355,0.998 +203370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.301549362,0.998 +203371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.284374448,0.998 +203372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,8.07873168,0.998 +203373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.557135704,0.998 +203374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.369937116,0.998 +203375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.145784544,0.998 +203376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.274297858,0.998 +203377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,8.019086705,0.998 +203378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.669098344,0.998 +203380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.008918427,0.998 +203381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.961314612,0.998 +203382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.763354235,0.998 +203383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.140669115,0.998 +203384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.09720683,0.998 +203379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.835855459,0.998 +203385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.808667468,0.998 +203386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.13198404,0.998 +203387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.257527335,0.998 +203389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.777984223,0.998 +203388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.396953819,0.998 +203390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.174907633,0.998 +203391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.025714547,0.998 +203393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,8.608841049,0.998 +203392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.573151283,0.998 +203395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,9.10897411,0.998 +203394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.533955878,0.998 +203397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.205114321,0.998 +203396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.215878091,0.998 +203398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.628116918,0.998 +203399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.04066559,0.998 +203400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.655627127,0.998 +203402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.954439794,0.998 +203403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,8.359908207,0.998 +203404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.907595765,0.998 +203405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.285179998,0.998 +203401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.224469435,0.998 +203406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.241764102,0.998 +203407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.372518467,0.998 +203409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.891955283,0.998 +203408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.312041109,0.998 +203410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.929967211,0.998 +203411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.366174719,0.998 +203413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.944527751,0.998 +203412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.099570987,0.998 +203414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.457689962,0.998 +203415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.07709147,0.998 +203416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.598347717,0.998 +203419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.923572024,0.998 +203418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.574831291,0.998 +203420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.435129518,0.998 +203417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.616326087,0.998 +203422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.178850267,0.998 +203421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.549059382,0.998 +203425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.97157059,0.998 +203423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.557382183,0.998 +203424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.328235714,0.998 +203426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.009173941,0.998 +203428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.256272314,0.998 +203427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.302779879,0.998 +203429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.951828388,0.998 +203430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,-0.321974659,0.998 +203431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.729166837,0.998 +203432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.428256029,0.998 +203433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.722614766,0.998 +203434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.125118142,0.998 +203435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.952669111,0.998 +203436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.720945816,0.998 +203438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.184547066,0.998 +203440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.862599304,0.998 +203437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.36554472,0.998 +203439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.209428198,0.998 +203441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.39344108,0.998 +203442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,11.17353447,0.998 +203443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.344123321,0.998 +203444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,8.441590741,0.998 +203445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.52676134,0.998 +203446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.388290331,0.998 +203448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.748739645,0.998 +203447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.955814866,0.998 +203450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.900200125,0.998 +203449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.881074323,0.998 +203452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.764560038,0.998 +203451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.532618068,0.998 +203453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.770526783,0.998 +203454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.667649437,0.998 +203456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.877025438,0.998 +203455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.569870506,0.998 +203457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.460868641,0.998 +203458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.96091001,0.998 +203460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.620100775,0.998 +203459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.583860414,0.998 +203461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.130373528,0.998 +203462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.627132552,0.998 +203463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.423673111,0.998 +203464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.39618466,0.998 +203465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.144480678,0.998 +203466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.367510197,0.998 +203467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.550095632,0.998 +203469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.962954956,0.998 +203468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,8.157128058,0.998 +203471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.613870505,0.998 +203472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.624889965,0.998 +203473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.268502042,0.998 +203474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.374247461,0.998 +203470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,9.539354801,0.998 +203475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.073973565,0.998 +203476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.746246838,0.998 +203477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.524694452,0.998 +203479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.032456271,0.998 +203478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.411466754,0.998 +203480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.694019966,0.998 +203481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.561621203,0.998 +203482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.068875208,0.998 +203483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.11511089,0.998 +203484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,0.933771224,0.998 +203485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.251022651,0.998 +203486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.6757878,0.998 +203487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.803702354,0.998 +203488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.0848807,0.998 +203489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.60821659,0.998 +203490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.537108404,0.998 +203492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.215013392,0.998 +203493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.826157412,0.998 +203494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.404918617,0.998 +203491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.219737527,0.998 +203496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.71760542,0.998 +203497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.87555044,0.998 +203495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.760886879,0.998 +203498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.954019977,0.998 +203500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.105017556,0.998 +203499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,9.059061679,0.998 +203502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.48778733,0.998 +203501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.954931298,0.998 +203503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.552939949,0.998 +203504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.751632582,0.998 +203505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.024447089,0.998 +203506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.104788842,0.998 +203507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.352537733,0.998 +203508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.09714597,0.998 +203511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.08595732,0.998 +203512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.931838971,0.998 +203510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.834334102,0.998 +203509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.843882539,0.998 +203513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.516210267,0.998 +203515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.971843452,0.998 +203514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.5142048,0.998 +203516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.007893936,0.998 +203517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.539721507,0.998 +203520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.428000753,0.998 +203518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.92502255,0.998 +203519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.440955298,0.998 +203521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.107711895,0.998 +203522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.5345405,0.998 +203524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.116008468,0.998 +203523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.112798668,0.998 +203525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.084900113,0.998 +203527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.166936735,0.998 +203526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.792458019,0.998 +203528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.674194585,0.998 +203529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.153931616,0.998 +203530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.559235178,0.998 +203531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.419840591,0.998 +203533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.383543205,0.998 +203534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.771340914,0.998 +203535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.690529267,0.998 +203532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.671017186,0.998 +203536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.495607504,0.998 +203537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.862235151,0.998 +203538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.410063229,0.998 +203540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.924612996,0.998 +203541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.756799398,0.998 +203539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.960632156,0.998 +203542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.98213072,0.998 +203545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.678900525,0.998 +203544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.827355619,0.998 +203543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.180119914,0.998 +203547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.202905896,0.998 +203546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.525882342,0.998 +203548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.045505113,0.998 +203549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.175828474,0.998 +203551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.183246867,0.998 +203552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.101538441,0.998 +203553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.559755599,0.998 +203554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,10.60635339,0.998 +203555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.812372905,0.998 +203556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.06158374,0.998 +203550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.805789421,0.998 +203557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.104779543,0.998 +203558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.617539018,0.998 +203559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,9.741824502,0.998 +203560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.974009903,0.998 +203563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.981612783,0.998 +203562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.023429207,0.998 +203561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.689919185,0.998 +203564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.591452829,0.998 +203565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.145768705,0.998 +203566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.783854698,0.998 +203567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,9.708392421,0.998 +203569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.654446345,0.998 +203570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,0.357446084,0.998 +203571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.454714778,0.998 +203572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.068592703,0.998 +203574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.745710977,0.998 +203573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.683767375,0.998 +203568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.038594266,0.998 +203575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.376209908,0.998 +203578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.839942018,0.998 +203576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.667773264,0.998 +203577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.123031924,0.998 +203582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.476766306,0.998 +203581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.00200791,0.998 +203580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.64171594,0.998 +203579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.789947041,0.998 +203584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.523984415,0.998 +203583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.791356468,0.998 +203585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.160279724,0.998 +203586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.427012438,0.998 +203587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.995458088,0.998 +203588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.54157648,0.998 +203590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.540446437,0.998 +203589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.837801556,0.998 +203591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.996436013,0.998 +203592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.504561583,0.998 +203593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.009244612,0.998 +203594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,8.882198684,0.998 +203597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.716803584,0.998 +203595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.872867598,0.998 +203596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,8.014129283,0.998 +203599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.720681617,0.998 +203600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.118876489,0.998 +203601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.218304606,0.998 +203598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,11.83380362,0.998 +203602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,8.636588315,0.998 +203603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.775298102,0.998 +203604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.204475575,0.998 +203605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.197017176,0.998 +203607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.501748285,0.998 +203606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,8.313562343,0.998 +203608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.047039915,0.998 +203609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.597076026,0.998 +203610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.777619812,0.998 +203611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.994844803,0.998 +203612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.563455152,0.998 +203614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.60915822,0.998 +203613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.519287936,0.998 +203615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.558027361,0.998 +203616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.390611022,0.998 +203617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.150111225,0.998 +203618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.458411596,0.998 +203620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.350192004,0.998 +203619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,8.122021154,0.998 +203621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.425617351,0.998 +203623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.23791411,0.998 +203624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.02622363,0.998 +203626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.274487635,0.998 +203625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.337569354,0.998 +203627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.064571259,0.998 +203628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.3980037,0.998 +203629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.3660496,0.998 +203622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.645789083,0.998 +203630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.021335218,0.998 +203631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.773272541,0.998 +203632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.029161053,0.998 +203634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.17868679,0.998 +203633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.32031562,0.998 +203635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.087961066,0.998 +203638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.739132396,0.998 +203636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.647513093,0.998 +203637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,8.312449624,0.998 +203640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.32781679,0.998 +203639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.974607026,0.998 +203641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.414575524,0.998 +203642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.725343644,0.998 +203644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.498583978,0.998 +203645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,8.625223751,0.998 +203646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.581130764,0.998 +203647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.694090645,0.998 +203648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.439387081,0.998 +203649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.144386691,0.998 +203643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.96984418,0.998 +203650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.328984347,0.998 +203651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.977944971,0.998 +203652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.248950638,0.998 +203653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.1204537,0.998 +203654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.512292369,0.998 +203657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.412026909,0.998 +203655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.975758698,0.998 +203656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.958359656,0.998 +203658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.871887099,0.998 +203660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,8.47017631,0.998 +203659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.470756748,0.998 +203661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,9.996411106,0.998 +203663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.870178785,0.998 +203662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.745318249,0.998 +203665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.375159117,0.998 +203666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.832121115,0.998 +203667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.230356445,0.998 +203664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.276451086,0.998 +203668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.073512082,0.998 +203670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.937412094,0.998 +203669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.74149144,0.998 +203671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.006988445,0.998 +203672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.691963056,0.998 +203673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.899197827,0.998 +203674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.305321142,0.998 +203676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.828689141,0.998 +203675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.496568671,0.998 +203677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.395529756,0.998 +203678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.248333346,0.998 +203679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.096596114,0.998 +203681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.660822474,0.998 +203682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.377134136,0.998 +203683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.114889035,0.998 +203680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.692662809,0.998 +203685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.755204435,0.998 +203686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.447910197,0.998 +203687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.824586188,0.998 +203688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.42039671,0.998 +203689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.571429196,0.998 +203684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.900499937,0.998 +203690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.810698465,0.998 +203691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.160540963,0.998 +203692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,8.510149779,0.998 +203693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.218622524,0.998 +203694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.764207609,0.998 +203695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.628809104,0.998 +203696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.30383728,0.998 +203697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.376946176,0.998 +203699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.382439401,0.998 +203698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.050375776,0.998 +203700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,11.19273322,0.998 +203701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.820962465,0.998 +203702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.160114733,0.998 +203704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.496970644,0.998 +203703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.610979461,0.998 +203706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.192900459,0.998 +203707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.4056585,0.998 +203705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.64463266,0.998 +203708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.674921842,0.998 +203709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.435305449,0.998 +203710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.088791162,0.998 +203713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.989765447,0.998 +203712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.373261562,0.998 +203711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,8.140496962,0.998 +203717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.434698836,0.998 +203714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.10316219,0.998 +203715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.542925592,0.998 +203718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.875107278,0.998 +203719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.630095727,0.998 +203720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.737079405,0.998 +203716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.057433877,0.998 +203721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.660596973,0.998 +203722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.930596894,0.998 +203723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.438391739,0.998 +203726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.609725393,0.998 +203724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.493752833,0.998 +203727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.368575691,0.998 +203725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.992616858,0.998 +203729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.310445414,0.998 +203730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.390072188,0.998 +203728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.362846147,0.998 +203731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.507855578,0.998 +203732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.532625456,0.998 +203733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.712318034,0.998 +203734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.812957454,0.998 +203735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.480487598,0.998 +203737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.5489208,0.998 +203738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.394580662,0.998 +203739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.962693619,0.998 +203740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.137611438,0.998 +203741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.202334003,0.998 +203736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.31145315,0.998 +203742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.942341513,0.998 +203745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.542881559,0.998 +203743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.303409234,0.998 +203744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.684867577,0.998 +203746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.186660027,0.998 +203748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.795144412,0.998 +203747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.555930243,0.998 +203749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.707790599,0.998 +203750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.296069818,0.998 +203751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.273789998,0.998 +203752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.078093094,0.998 +203753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.713641869,0.998 +203754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.686236314,0.998 +203755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.931685563,0.998 +203757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.912293832,0.998 +203758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.073062569,0.998 +203759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.865339438,0.998 +203756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.649301409,0.998 +203760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.471588997,0.998 +203761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.848235883,0.998 +203763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,9.481350282,0.998 +203762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.179219539,0.998 +203764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.152180599,0.998 +203765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.49700206,0.998 +203766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.674943961,0.998 +203767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.551439624,0.998 +203769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.376207504,0.998 +203768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.516537237,0.998 +203771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.432852179,0.998 +203770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.789345179,0.998 +203772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.523185868,0.998 +203773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.143928659,0.998 +203774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.750975389,0.998 +203776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.51619923,0.998 +203775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.212949388,0.998 +203778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.070066216,0.998 +203777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.016531382,0.998 +203779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.390207266,0.998 +203781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.142069104,0.998 +203780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.206758491,0.998 +203782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.744573281,0.998 +203783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.067850069,0.998 +203784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.838136196,0.998 +203786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.288613324,0.998 +203785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.939061716,0.998 +203787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.711908654,0.998 +203789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.918939536,0.998 +203790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.832276744,0.998 +203788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.775187356,0.998 +203791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.499220017,0.998 +203792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.925783773,0.998 +203793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.996078415,0.998 +203794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.310757297,0.998 +203795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.919934885,0.998 +203796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.023248353,0.998 +203798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.004518091,0.998 +203797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.649076436,0.998 +203799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.475226086,0.998 +203800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.468281567,0.998 +203801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.307949953,0.998 +203803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.937092926,0.998 +203802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.711412847,0.998 +203804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.564622977,0.998 +203805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.623548027,0.998 +203807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.51637981,0.998 +203809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.454212402,0.998 +203806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.320995584,0.998 +203808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.943676067,0.998 +203811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.425056175,0.998 +203812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.306628111,0.998 +203810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.735677107,0.998 +203813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.33494394,0.998 +203814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.616400621,0.998 +203815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.215058929,0.998 +203817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.724638971,0.998 +203818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.765129739,0.998 +203816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.833269256,0.998 +203819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.138525258,0.998 +203820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,8.450720637,0.998 +203822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.471781201,0.998 +203823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,8.365564532,0.998 +203824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,9.013811681,0.998 +203821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.112548023,0.998 +203825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.112505575,0.998 +203828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.787325936,0.998 +203826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.393238484,0.998 +203829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.311664232,0.998 +203830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,8.469464999,0.998 +203831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,11.70872378,0.998 +203827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.067183697,0.998 +203832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.403031559,0.998 +203833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.718340704,0.998 +203834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.071285907,0.998 +203835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.824121491,0.998 +203836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.959208109,0.998 +203838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.064943456,0.998 +203837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.570971155,0.998 +203839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.174460055,0.998 +203842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.796343812,0.998 +203841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.82720535,0.998 +203843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.424438854,0.998 +203844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.136035451,0.998 +203845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.057796334,0.998 +203840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.537298485,0.998 +203847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.771003848,0.998 +203848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.588312659,0.998 +203846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.624444477,0.998 +203849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.358690183,0.998 +203851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.272843345,0.998 +203850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.784350704,0.998 +203852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.973267824,0.998 +203853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.69168132,0.998 +203855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.923152562,0.998 +203856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.440590096,0.998 +203854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.885400789,0.998 +203858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.487597259,0.998 +203859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.457855532,0.998 +203860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.304913381,0.998 +203857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.425634783,0.998 +203861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.555742278,0.998 +203863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.475404628,0.998 +203864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.916817146,0.998 +203862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,0.543724987,0.998 +203866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.770946702,0.998 +203865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.225820232,0.998 +203867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.674498056,0.998 +203868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.136906204,0.998 +203869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.897744857,0.998 +203870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.498273396,0.998 +203872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.637267433,0.998 +203871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.465942492,0.998 +203874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.812233087,0.998 +203875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.91499262,0.998 +203873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,9.257259685,0.998 +203877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.709281067,0.998 +203878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.36590172,0.998 +203879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.043879549,0.998 +203876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.504706067,0.998 +203880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.147065609,0.998 +203882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.145507518,0.998 +203883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.364148462,0.998 +203881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.600308586,0.998 +203885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.687608811,0.998 +203884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.117011308,0.998 +203886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.186082057,0.998 +203887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.997936543,0.998 +203889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.323365228,0.998 +203891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.215894724,0.998 +203890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.152573717,0.998 +203888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.888575893,0.998 +203892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.021073456,0.998 +203893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,-0.131097096,0.998 +203895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,9.997101046,0.998 +203896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.498670778,0.998 +203894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.527030577,0.998 +203898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.792011044,0.998 +203897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.461930358,0.998 +203900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.133589515,0.998 +203899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.783359523,0.998 +203901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,11.16876408,0.998 +203902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.076529564,0.998 +203903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.504925473,0.998 +203904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.583420753,0.998 +203906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.074786188,0.998 +203908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,10.03015179,0.998 +203907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.780356693,0.998 +203905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.0955219,0.998 +203909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.536727966,0.998 +203910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.918941795,0.998 +203912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.59136564,0.998 +203913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.521216025,0.998 +203911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.030000319,0.998 +203915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.88092609,0.998 +203914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,8.54728922,0.998 +203916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,8.174004058,0.998 +203917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.261110543,0.998 +203918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.787420329,0.998 +203919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.53331252,0.998 +203920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.391556419,0.998 +203921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.59683036,0.998 +203922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.577786035,0.998 +203924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.471319063,0.998 +203926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.802727189,0.998 +203923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.351599908,0.998 +203925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.53020231,0.998 +203929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.66834088,0.998 +203927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.223737901,0.998 +203928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.572912974,0.998 +203930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.199860186,0.998 +203931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.166575433,0.998 +203932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.920367713,0.998 +203933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.763648306,0.998 +203934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.858886433,0.998 +203936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.317328799,0.998 +203935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.337117901,0.998 +203937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.374138724,0.998 +203939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.64900453,0.998 +203940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.726313223,0.998 +203941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.596822895,0.998 +203938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,8.069005245,0.998 +203942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.111477933,0.998 +203944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.243444953,0.998 +203943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.299623972,0.998 +203945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.25934323,0.998 +203947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.613992142,0.998 +203946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.504868168,0.998 +203948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.212020417,0.998 +203949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.256067552,0.998 +203951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.602142369,0.998 +203950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.02449704,0.998 +203952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.87694793,0.998 +203954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.134740286,0.998 +203955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,11.91222067,0.998 +203953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.080443154,0.998 +203956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,0.926679893,0.998 +203958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.02336294,0.998 +203957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.490848365,0.998 +203959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.719924492,0.998 +203960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.153369381,0.998 +203961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,7.417222857,0.998 +203962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.696049842,0.998 +203964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,9.20311182,0.998 +203965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.37636406,0.998 +203966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.410842628,0.998 +203967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.838234129,0.998 +203968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.694737708,0.998 +203969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,1.22834343,0.998 +203970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,0.857251482,0.998 +203963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.487394177,0.998 +203971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.070820664,0.998 +203972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.651339402,0.998 +203974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.249961403,0.998 +203973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.263704816,0.998 +203975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.303160597,0.998 +203976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.479624395,0.998 +203977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.33342435,0.998 +203978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.362499461,0.998 +203979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.793556899,0.998 +203980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.558377582,0.998 +203982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.584429099,0.998 +203983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.897437517,0.998 +203984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.30373085,0.998 +203985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.152394074,0.998 +203986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.943092325,0.998 +203987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.315433481,0.998 +203981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.829468469,0.998 +203988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.689205025,0.998 +203989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.224577546,0.998 +203991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.013615402,0.998 +203990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.879908631,0.998 +203992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.662592818,0.998 +203993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.550408056,0.998 +203995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.655633096,0.998 +203994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,3.720375646,0.998 +203996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,5.126288394,0.998 +203997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,4.195351828,0.998 +203998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,10.10594667,0.998 +203999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,6.51216805,0.998 +204000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,4,1,2.501481136,0.998 +4001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.549318847,0.998 +4002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.283975346,0.998 +4003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.648914097,0.998 +4004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.201980091,0.998 +4005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,8.621141738,0.998 +4006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.835818331,0.998 +4007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.735621659,0.998 +4008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.750210471,0.998 +4009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.267426748,0.998 +4010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.728983647,0.998 +4011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.546048597,0.998 +4012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.539612887,0.998 +4013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.295911718,0.998 +4015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.999885499,0.998 +4016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.348058583,0.998 +4017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.591509416,0.998 +4014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.484455715,0.998 +4018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.882269948,0.998 +4019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.938154884,0.998 +4020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.799744687,0.998 +4022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.637611284,0.998 +4023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.676202929,0.998 +4024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,8.271896612,0.998 +4021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,8.396536388,0.998 +4026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.382027819,0.998 +4025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.117376602,0.998 +4028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.254511527,0.998 +4027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.383664219,0.998 +4029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.425815179,0.998 +4030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.179117975,0.998 +4031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.497315591,0.998 +4032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.917275725,0.998 +4033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,0.808339863,0.998 +4034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.039932816,0.998 +4036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,9.446707637,0.998 +4037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.075968924,0.998 +4038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.213056799,0.998 +4039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.678862266,0.998 +4040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.557416821,0.998 +4041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.909343549,0.998 +4035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.185157204,0.998 +4045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.862820156,0.998 +4042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,10.72311517,0.998 +4043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.034698637,0.998 +4044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.46840102,0.998 +4046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.550879871,0.998 +4047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.663256398,0.998 +4049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.410289389,0.998 +4048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.402238926,0.998 +4052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.666861762,0.998 +4051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.833127644,0.998 +4053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.211415129,0.998 +4050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.118421272,0.998 +4055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,8.224146337,0.998 +4054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.198184212,0.998 +4056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.410046454,0.998 +4059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,8.170110762,0.998 +4058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.026972278,0.998 +4060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.350758951,0.998 +4057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,8.747142952,0.998 +4063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.610100084,0.998 +4061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.807760646,0.998 +4062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.990583449,0.998 +4064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.228903469,0.998 +4065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,0.575549602,0.998 +4066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.748831117,0.998 +4067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.704768106,0.998 +4068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,10.38636881,0.998 +4069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.797149074,0.998 +4070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.121688074,0.998 +4071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.260581893,0.998 +4074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.274489703,0.998 +4073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.808167496,0.998 +4072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.596271566,0.998 +4075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.801092513,0.998 +4077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.353465856,0.998 +4076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.335067571,0.998 +4078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.674188502,0.998 +4079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.370594062,0.998 +4080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.642139462,0.998 +4081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.270416732,0.998 +4082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.600957407,0.998 +4083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.444202694,0.998 +4084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.08653814,0.998 +4085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,9.37089049,0.998 +4087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.929296234,0.998 +4086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.43096711,0.998 +4089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.040196208,0.998 +4088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.19347235,0.998 +4090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.50213814,0.998 +4092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.723505989,0.998 +4093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.638579212,0.998 +4094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.475055663,0.998 +4095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.481991851,0.998 +4096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.348904215,0.998 +4091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.531569222,0.998 +4097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.67994978,0.998 +4098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,8.441799252,0.998 +4099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.881784586,0.998 +4101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.176441561,0.998 +4100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,9.969711596,0.998 +4103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.758903879,0.998 +4104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,8.31270528,0.998 +4102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.89350134,0.998 +4105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.934304211,0.998 +4106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.317871489,0.998 +4107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.770754971,0.998 +4108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,0.918521871,0.998 +4111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.796216968,0.998 +4110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.560533308,0.998 +4112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.443439995,0.998 +4113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.33786179,0.998 +4109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.840865925,0.998 +4114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.935031082,0.998 +4115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.003416634,0.998 +4116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.7676998,0.998 +4118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.093462417,0.998 +4119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.417455855,0.998 +4117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.951409987,0.998 +4120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.070189297,0.998 +4121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.799045431,0.998 +4122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.00481978,0.998 +4123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,10.05086225,0.998 +4124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.552258066,0.998 +4125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.931626053,0.998 +4126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.201424093,0.998 +4127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.28814431,0.998 +4128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.955848256,0.998 +4129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.631236339,0.998 +4130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.347579435,0.998 +4132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.956682854,0.998 +4133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.195120069,0.998 +4134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.53955111,0.998 +4131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,8.457552399,0.998 +4135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.784177889,0.998 +4136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.121973887,0.998 +4137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.284974936,0.998 +4138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.951116588,0.998 +4139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.577184048,0.998 +4140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.006376592,0.998 +4141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.959499698,0.998 +4143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.996520496,0.998 +4144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,9.186133155,0.998 +4145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.529526539,0.998 +4142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.09978794,0.998 +4146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.230095999,0.998 +4147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.02632373,0.998 +4148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.037597638,0.998 +4149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,15.19087,0.998 +4150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.714055216,0.998 +4152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.779773154,0.998 +4153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.376861175,0.998 +4151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.600241389,0.998 +4154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.163989465,0.998 +4155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.707474537,0.998 +4158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.12003897,0.998 +4159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.162252262,0.998 +4157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.454776824,0.998 +4156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.321357118,0.998 +4160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.974911506,0.998 +4161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,10.54879987,0.998 +4163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.850411246,0.998 +4162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.836748633,0.998 +4164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.715830347,0.998 +4165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.476629447,0.998 +4167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.30338165,0.998 +4166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.241733327,0.998 +4168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.457311127,0.998 +4169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.928877495,0.998 +4171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.575438408,0.998 +4172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.28043896,0.998 +4173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.306005851,0.998 +4170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.575675515,0.998 +4174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.092168649,0.998 +4175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,9.061471509,0.998 +4176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.470368061,0.998 +4177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.024612734,0.998 +4179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.527408259,0.998 +4178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.463556575,0.998 +4180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.880255699,0.998 +4181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.943802874,0.998 +4182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.842719841,0.998 +4184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.632623396,0.998 +4185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.675126355,0.998 +4183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.911263625,0.998 +4186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.166082042,0.998 +4187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.273098403,0.998 +4188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.233118697,0.998 +4189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.960297654,0.998 +4190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.650104491,0.998 +4191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.70886543,0.998 +4193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.11253723,0.998 +4194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.161041056,0.998 +4195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.24304241,0.998 +4192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,8.381396739,0.998 +4196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.419194559,0.998 +4198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.927148403,0.998 +4199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.212950323,0.998 +4197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.991505524,0.998 +4202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.588496888,0.998 +4201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.183926509,0.998 +4200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.393868211,0.998 +4203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.681514091,0.998 +4205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.852391784,0.998 +4204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.85997434,0.998 +4206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.837160584,0.998 +4207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.889565544,0.998 +4210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.023540234,0.998 +4211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.775342617,0.998 +4208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.032947891,0.998 +4209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.684407343,0.998 +4214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.155129255,0.998 +4213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.410984595,0.998 +4215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,10.09417103,0.998 +4217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.880309169,0.998 +4216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.795236249,0.998 +4218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.79941702,0.998 +4220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.388502393,0.998 +4219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,9.175587965,0.998 +4212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.133496086,0.998 +4221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.271537893,0.998 +4222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.165313654,0.998 +4223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.176160328,0.998 +4224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,8.93801908,0.998 +4225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,0.367275409,0.998 +4227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.30870276,0.998 +4226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.320960586,0.998 +4228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.995712089,0.998 +4229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.974588167,0.998 +4231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.917251,0.998 +4230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,9.291567173,0.998 +4232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.733189012,0.998 +4234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,8.421948361,0.998 +4233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.985252248,0.998 +4235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.510813871,0.998 +4237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,0.489802645,0.998 +4238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.64627086,0.998 +4239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,8.280603031,0.998 +4236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.151266788,0.998 +4242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.918470218,0.998 +4241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.066433942,0.998 +4240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.083140469,0.998 +4243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.412101585,0.998 +4244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.484219493,0.998 +4245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.658211613,0.998 +4246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.058860798,0.998 +4247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.161642397,0.998 +4248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.205788548,0.998 +4249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.151313794,0.998 +4250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.315818933,0.998 +4251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.314787168,0.998 +4252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.133439847,0.998 +4253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.702751076,0.998 +4255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.505564695,0.998 +4256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.654057444,0.998 +4254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.006058381,0.998 +4259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,9.188914023,0.998 +4257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.616844104,0.998 +4258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.090067909,0.998 +4260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,11.42231221,0.998 +4262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,10.3780047,0.998 +4263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.846880845,0.998 +4265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,8.305086285,0.998 +4264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.424113574,0.998 +4266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.781003558,0.998 +4261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.278635851,0.998 +4267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.912123883,0.998 +4269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.78932824,0.998 +4270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.59884085,0.998 +4268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.212034022,0.998 +4273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.869740637,0.998 +4272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.766531636,0.998 +4271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.839515075,0.998 +4274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.032014488,0.998 +4275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.635979008,0.998 +4277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.668627829,0.998 +4276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.401622479,0.998 +4280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.467411862,0.998 +4281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.660954604,0.998 +4278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.161584785,0.998 +4282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.701960595,0.998 +4283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.738104719,0.998 +4284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.874822732,0.998 +4279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.194902211,0.998 +4285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.387721204,0.998 +4288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.984276531,0.998 +4286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.646084791,0.998 +4287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.312417828,0.998 +4289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.601856402,0.998 +4290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.642899901,0.998 +4291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.294520446,0.998 +4292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.450472877,0.998 +4293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.163367027,0.998 +4294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.442825841,0.998 +4295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.041811365,0.998 +4297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,9.970040412,0.998 +4296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,-0.309673313,0.998 +4299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.777112899,0.998 +4300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.7646358,0.998 +4301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.903730544,0.998 +4298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.70885025,0.998 +4302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,9.189259123,0.998 +4305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.157586659,0.998 +4304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.533389098,0.998 +4303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.924407402,0.998 +4306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.804209642,0.998 +4307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.043381111,0.998 +4308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.787183202,0.998 +4310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.499666661,0.998 +4309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.746275322,0.998 +4311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.236622812,0.998 +4313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.016323429,0.998 +4312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.258000063,0.998 +4314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.054469901,0.998 +4316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.405713279,0.998 +4317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.895847205,0.998 +4315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.685698244,0.998 +4318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.190275259,0.998 +4320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.53130309,0.998 +4319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.643457808,0.998 +4321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.90501339,0.998 +4322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,0.818217496,0.998 +4323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.578154948,0.998 +4324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.213835925,0.998 +4325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.384799013,0.998 +4326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.409794056,0.998 +4328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.327283542,0.998 +4327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,0.566443236,0.998 +4330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.299765072,0.998 +4329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.75899176,0.998 +4332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.221643995,0.998 +4334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.809956571,0.998 +4331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.132542277,0.998 +4333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.830887479,0.998 +4335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.684276839,0.998 +4336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.581817742,0.998 +4337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.738413613,0.998 +4338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.435649211,0.998 +4339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.25034691,0.998 +4340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.595032692,0.998 +4341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.111054388,0.998 +4342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.465965308,0.998 +4344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.483202198,0.998 +4345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.457567924,0.998 +4343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.776463704,0.998 +4346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.222859229,0.998 +4347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.016945423,0.998 +4348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.778457096,0.998 +4349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.399413883,0.998 +4350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.22628579,0.998 +4351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.908024906,0.998 +4352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.566516611,0.998 +4353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,10.41875103,0.998 +4354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.660929867,0.998 +4355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.735516039,0.998 +4356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.985141763,0.998 +4358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.040219605,0.998 +4359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.589558528,0.998 +4357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.053354881,0.998 +4360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.879613574,0.998 +4361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.736264774,0.998 +4362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.748747836,0.998 +4363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.974640239,0.998 +4364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.354589759,0.998 +4365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.516594145,0.998 +4366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.131144338,0.998 +4368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.41105257,0.998 +4367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.18854779,0.998 +4369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.489419653,0.998 +4370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.751084219,0.998 +4371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.932842484,0.998 +4373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.798747405,0.998 +4374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,9.584781052,0.998 +4375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,8.754455438,0.998 +4376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.137333297,0.998 +4377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.833281995,0.998 +4372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.127233616,0.998 +4378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.945807124,0.998 +4381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.351399667,0.998 +4380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.571513779,0.998 +4379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.318451693,0.998 +4382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.665421495,0.998 +4385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.590711961,0.998 +4384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.539755733,0.998 +4386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.755375154,0.998 +4388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.271988411,0.998 +4387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.335187956,0.998 +4389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.389341136,0.998 +4383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.626000746,0.998 +4390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.799873219,0.998 +4391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,10.58373434,0.998 +4392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.160415027,0.998 +4393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.755103663,0.998 +4394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.887368409,0.998 +4396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.877291147,0.998 +4395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.418682386,0.998 +4397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.242842526,0.998 +4398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.033092577,0.998 +4400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.819618216,0.998 +4399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.726754012,0.998 +4402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.333854502,0.998 +4403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.680232806,0.998 +4404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.476468726,0.998 +4405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.077572093,0.998 +4406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.104947491,0.998 +4401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.486942691,0.998 +4407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.571210007,0.998 +4408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.307048248,0.998 +4410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.927534908,0.998 +4409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.195267367,0.998 +4411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.408559854,0.998 +4414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.112016473,0.998 +4412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.599147888,0.998 +4413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.279496135,0.998 +4415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.415233982,0.998 +4416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,9.086185759,0.998 +4417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.020531502,0.998 +4418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.972654122,0.998 +4419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.963077988,0.998 +4420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.908596062,0.998 +4421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,0.854500951,0.998 +4423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.060615661,0.998 +4422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.459604285,0.998 +4425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.949796534,0.998 +4424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,12.32221043,0.998 +4426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.796160397,0.998 +4428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.863692754,0.998 +4427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.103929919,0.998 +4429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.781094898,0.998 +4430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.413859926,0.998 +4431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.366521476,0.998 +4432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.290790863,0.998 +4433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.202104658,0.998 +4434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.593053237,0.998 +4435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.867147939,0.998 +4437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.016604847,0.998 +4438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.481772495,0.998 +4436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.397907794,0.998 +4439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.04305608,0.998 +4440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.901686269,0.998 +4441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.308121713,0.998 +4442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.577846344,0.998 +4443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.234206669,0.998 +4444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.102992708,0.998 +4445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.279459515,0.998 +4446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,0.743588711,0.998 +4447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.090148307,0.998 +4448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.931183624,0.998 +4449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.982268264,0.998 +4450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.689615077,0.998 +4451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.839793885,0.998 +4452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,9.096015327,0.998 +4453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.659586964,0.998 +4455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.506395985,0.998 +4454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.049273283,0.998 +4456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.487099538,0.998 +4457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.736812466,0.998 +4460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.992161967,0.998 +4459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.179916908,0.998 +4458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.161724105,0.998 +4461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,10.79612785,0.998 +4462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.583640595,0.998 +4463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.49038191,0.998 +4465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.164439509,0.998 +4464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.942782445,0.998 +4466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,9.91256176,0.998 +4469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.677740141,0.998 +4468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.473527441,0.998 +4467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.713841252,0.998 +4470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,9.180698679,0.998 +4472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.791723011,0.998 +4471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.056315861,0.998 +4474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.003970768,0.998 +4473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.406577706,0.998 +4475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,8.157755063,0.998 +4476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.373963,0.998 +4478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,0.078029371,0.998 +4477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.124587009,0.998 +4479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.495937412,0.998 +4480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.320949896,0.998 +4481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.143292149,0.998 +4482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.663513391,0.998 +4483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.543157225,0.998 +4484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.829364439,0.998 +4486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.691132103,0.998 +4485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.873762902,0.998 +4488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,8.115242374,0.998 +4487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.594724737,0.998 +4490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,11.48119823,0.998 +4489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.36733435,0.998 +4491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.264231506,0.998 +4492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.718308578,0.998 +4493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.573710156,0.998 +4494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.218590378,0.998 +4496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.515878018,0.998 +4495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.731322156,0.998 +4497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.933878413,0.998 +4499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.591413178,0.998 +4500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.955380258,0.998 +4498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.800773992,0.998 +4501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.901823959,0.998 +4503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.549228433,0.998 +4502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,0.870068764,0.998 +4505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.630546527,0.998 +4507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.776895378,0.998 +4506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.079918365,0.998 +4504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.871116436,0.998 +4508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.001624355,0.998 +4509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.331842994,0.998 +4510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.343198446,0.998 +4513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,9.415336163,0.998 +4512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.740837527,0.998 +4514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.282932465,0.998 +4511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,8.221037962,0.998 +4515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,0.69547069,0.998 +4516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.055331106,0.998 +4517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.998449469,0.998 +4518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.786928472,0.998 +4519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.668335021,0.998 +4520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.403544736,0.998 +4521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.51128819,0.998 +4523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.791749385,0.998 +4522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.820399119,0.998 +4524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.479292243,0.998 +4525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.95942783,0.998 +4526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.566465413,0.998 +4529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.03260328,0.998 +4528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.235261658,0.998 +4530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.975126134,0.998 +4532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.800058161,0.998 +4527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.194910242,0.998 +4531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.017574718,0.998 +4535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.47310464,0.998 +4533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.328304598,0.998 +4534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.538002656,0.998 +4536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.66995891,0.998 +4538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.998561409,0.998 +4537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.278326102,0.998 +4539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.792721809,0.998 +4540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.039962854,0.998 +4541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.543674712,0.998 +4542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.960661077,0.998 +4543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.596481029,0.998 +4544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.597920463,0.998 +4545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.538080724,0.998 +4547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.232649994,0.998 +4548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.685055209,0.998 +4549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.033807273,0.998 +4551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.454860117,0.998 +4546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.054278123,0.998 +4550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.726826066,0.998 +4552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.527884748,0.998 +4555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.026051986,0.998 +4553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.469634338,0.998 +4554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.341182287,0.998 +4556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.117839866,0.998 +4557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.995233832,0.998 +4558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.297008709,0.998 +4559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.158829598,0.998 +4561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.875786222,0.998 +4560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.084475783,0.998 +4562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.325794595,0.998 +4563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,11.27343599,0.998 +4566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,9.486363809,0.998 +4565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,9.958015487,0.998 +4564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.789241245,0.998 +4569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.646827778,0.998 +4567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.254908937,0.998 +4568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.322986993,0.998 +4570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.277944901,0.998 +4571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.945028935,0.998 +4572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.495358624,0.998 +4573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.700957562,0.998 +4574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.325317751,0.998 +4575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.919995487,0.998 +4578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.402271143,0.998 +4576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.995878434,0.998 +4577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.08342197,0.998 +4582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.782976256,0.998 +4579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.891145636,0.998 +4580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.663622953,0.998 +4581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,8.203412238,0.998 +4583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.208411776,0.998 +4584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.720947854,0.998 +4585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.691819021,0.998 +4586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.469165796,0.998 +4588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,8.152914965,0.998 +4587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.380820825,0.998 +4589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.38578372,0.998 +4590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.88273204,0.998 +4591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.849561515,0.998 +4592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,0.329137146,0.998 +4593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.087177014,0.998 +4594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.746697176,0.998 +4596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.12678206,0.998 +4597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.659048432,0.998 +4595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,8.718130943,0.998 +4600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.377696078,0.998 +4599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.727467269,0.998 +4601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,0.874518588,0.998 +4602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.959160413,0.998 +4603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.782876115,0.998 +4604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.600415628,0.998 +4598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.326012541,0.998 +4605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.181706589,0.998 +4606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.295415424,0.998 +4607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.791396291,0.998 +4608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.835112532,0.998 +4610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.025376332,0.998 +4611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.789410241,0.998 +4609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.435503581,0.998 +4612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.972896241,0.998 +4613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.12989129,0.998 +4614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.568961459,0.998 +4615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.944708446,0.998 +4616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.423289702,0.998 +4617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.021395842,0.998 +4618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.21420711,0.998 +4619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.525689166,0.998 +4620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,0.585425804,0.998 +4621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.815488914,0.998 +4622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.884881123,0.998 +4626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.446028609,0.998 +4623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.749409522,0.998 +4625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.983827065,0.998 +4624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.355063967,0.998 +4628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.104724294,0.998 +4629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.457524541,0.998 +4627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.016819122,0.998 +4630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.894451251,0.998 +4631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.817158041,0.998 +4633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.268522174,0.998 +4634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,10.73113478,0.998 +4632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.981293091,0.998 +4635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.473940271,0.998 +4636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.782068962,0.998 +4637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.024904786,0.998 +4639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.440555553,0.998 +4640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,8.565080337,0.998 +4638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.492970111,0.998 +4641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.200276327,0.998 +4642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,8.091889913,0.998 +4644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.446502316,0.998 +4643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,8.021977352,0.998 +4645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.727781859,0.998 +4646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.886020909,0.998 +4648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.63337479,0.998 +4649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.206914213,0.998 +4647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.434715081,0.998 +4650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,10.15969228,0.998 +4651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.284038389,0.998 +4652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.613484766,0.998 +4653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.406672681,0.998 +4654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.318087654,0.998 +4655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.84629959,0.998 +4656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.363507443,0.998 +4657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.752949948,0.998 +4658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.84554679,0.998 +4659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.977437358,0.998 +4660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.599593532,0.998 +4663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.058005615,0.998 +4662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.955103621,0.998 +4661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.232317805,0.998 +4664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.27969651,0.998 +4665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.480106633,0.998 +4666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.816218769,0.998 +4667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.705925763,0.998 +4668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.717310351,0.998 +4669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,8.955182035,0.998 +4670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,8.082884859,0.998 +4671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.907165641,0.998 +4672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.141939534,0.998 +4673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.899741247,0.998 +4675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.489633931,0.998 +4677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.540975783,0.998 +4676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.248319614,0.998 +4674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.91162767,0.998 +4679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,12.38050855,0.998 +4680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.695182119,0.998 +4678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.417361254,0.998 +4682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.413640954,0.998 +4683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.614860937,0.998 +4681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.178757302,0.998 +4684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.345753568,0.998 +4687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.178198215,0.998 +4685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,8.166401852,0.998 +4686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.565746102,0.998 +4689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.770995793,0.998 +4690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.112448462,0.998 +4688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.650412781,0.998 +4691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.385328385,0.998 +4694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.160671895,0.998 +4693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.615613083,0.998 +4695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.665872202,0.998 +4692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.651094539,0.998 +4696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.129058533,0.998 +4697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.190456428,0.998 +4698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.52321537,0.998 +4701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.534090616,0.998 +4699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.519073021,0.998 +4700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.079036344,0.998 +4702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.749853758,0.998 +4704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.650361684,0.998 +4703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.196713581,0.998 +4705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.681978212,0.998 +4707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,8.24458975,0.998 +4706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.109945563,0.998 +4709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.455918149,0.998 +4708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.919479947,0.998 +4710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.242505314,0.998 +4711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.096724624,0.998 +4712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.062641727,0.998 +4713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.572037594,0.998 +4715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.971268882,0.998 +4717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.823177763,0.998 +4714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.153805063,0.998 +4716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.231796136,0.998 +4718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.190128042,0.998 +4720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.155627209,0.998 +4721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.764761454,0.998 +4719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.334940623,0.998 +4722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.851191393,0.998 +4724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,0.736241223,0.998 +4723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.047887709,0.998 +4725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.593786818,0.998 +4726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,9.163511412,0.998 +4727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.700137156,0.998 +4728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.724918481,0.998 +4730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.715948228,0.998 +4731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.222075554,0.998 +4729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.235494333,0.998 +4733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.130860703,0.998 +4732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.045715071,0.998 +4735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.335792341,0.998 +4734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.987295931,0.998 +4736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.134991893,0.998 +4737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.66572836,0.998 +4739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.141604066,0.998 +4738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.267321716,0.998 +4740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.038587268,0.998 +4741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.842484175,0.998 +4742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.804670164,0.998 +4745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.899114697,0.998 +4743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.333805139,0.998 +4744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.595303345,0.998 +4746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.572325692,0.998 +4748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.866414753,0.998 +4747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.001582871,0.998 +4749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.265111176,0.998 +4750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.9898359,0.998 +4751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.933631028,0.998 +4752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.814397233,0.998 +4753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.62873755,0.998 +4754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.412713798,0.998 +4757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.901488193,0.998 +4756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.344092922,0.998 +4755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.909192381,0.998 +4758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.060249028,0.998 +4759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,0.356303122,0.998 +4760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.799911556,0.998 +4761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.742777288,0.998 +4762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.722643883,0.998 +4763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.616214078,0.998 +4764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.850348038,0.998 +4766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.103188677,0.998 +4765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.106861394,0.998 +4767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.421390441,0.998 +4768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.652216455,0.998 +4769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.527229247,0.998 +4771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.4087215,0.998 +4772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.468535118,0.998 +4773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.622998713,0.998 +4774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.294116219,0.998 +4770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.34203738,0.998 +4775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.075677972,0.998 +4776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.206529856,0.998 +4778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.668700628,0.998 +4777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.122954664,0.998 +4779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.19643068,0.998 +4780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.139574488,0.998 +4782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.074632367,0.998 +4783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.344696391,0.998 +4781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.581883476,0.998 +4784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.950763738,0.998 +4785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.804870025,0.998 +4786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.771976409,0.998 +4788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.117269535,0.998 +4789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.319717521,0.998 +4790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,8.06228083,0.998 +4787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.59516415,0.998 +4791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.999038657,0.998 +4792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,9.970040104,0.998 +4793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.203509565,0.998 +4794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.021131063,0.998 +4796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.0128574,0.998 +4795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.073870384,0.998 +4797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.307833661,0.998 +4798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,8.437470549,0.998 +4799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.727871502,0.998 +4800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.964183812,0.998 +4801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,9.167946876,0.998 +4803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.281741308,0.998 +4804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.965556141,0.998 +4805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.000331373,0.998 +4806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.051794976,0.998 +4802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,-0.071774929,0.998 +4807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.579405844,0.998 +4808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.679877018,0.998 +4810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,9.31190813,0.998 +4809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,9.074767337,0.998 +4811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.333284986,0.998 +4812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.143018954,0.998 +4814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.31402193,0.998 +4813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.613055739,0.998 +4815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.854852332,0.998 +4816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,0.548297268,0.998 +4817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.311194231,0.998 +4819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.928728466,0.998 +4818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.359734155,0.998 +4820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.064699474,0.998 +4821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.887179566,0.998 +4822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.330839495,0.998 +4824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.398257943,0.998 +4823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.474143082,0.998 +4825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.475530735,0.998 +4826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.300765346,0.998 +4827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.782214377,0.998 +4829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.144081584,0.998 +4828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.720633257,0.998 +4830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.884997833,0.998 +4831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.536629256,0.998 +4832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.441911621,0.998 +4833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.583849346,0.998 +4834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.341824305,0.998 +4835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.11641273,0.998 +4836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.25699891,0.998 +4838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.564860734,0.998 +4837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.17909634,0.998 +4839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.331275856,0.998 +4841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.266107167,0.998 +4840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.450038365,0.998 +4842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.671879565,0.998 +4843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.06502272,0.998 +4844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.072530584,0.998 +4845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.758546247,0.998 +4846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.892008847,0.998 +4847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.166888992,0.998 +4848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.85262826,0.998 +4849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.614110244,0.998 +4850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,9.359953501,0.998 +4851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.59032214,0.998 +4852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,8.096733032,0.998 +4853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.330269287,0.998 +4855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.948422499,0.998 +4856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.97726013,0.998 +4854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.903320518,0.998 +4857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.431187487,0.998 +4858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.096811823,0.998 +4861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.425198516,0.998 +4859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.524712177,0.998 +4860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.688007182,0.998 +4862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.901709909,0.998 +4863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,9.266948537,0.998 +4864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.572789114,0.998 +4865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.480100866,0.998 +4866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.674386616,0.998 +4867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.325177567,0.998 +4868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,11.17987114,0.998 +4870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.843076675,0.998 +4869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.224106728,0.998 +4872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.375262981,0.998 +4871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.244825756,0.998 +4873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.161091227,0.998 +4875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.463834346,0.998 +4876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.262991061,0.998 +4874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.175308323,0.998 +4877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.721963336,0.998 +4879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.183944156,0.998 +4878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.372869751,0.998 +4881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.461666521,0.998 +4882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.790520331,0.998 +4883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,9.484298941,0.998 +4880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.674872599,0.998 +4884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,13.61579748,0.998 +4886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.568832495,0.998 +4885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.633425237,0.998 +4887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.525934945,0.998 +4888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.67697848,0.998 +4890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.376857773,0.998 +4889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.495867497,0.998 +4891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.486374011,0.998 +4892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.287086576,0.998 +4893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.088502115,0.998 +4894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.893484446,0.998 +4896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.137013881,0.998 +4897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.381940448,0.998 +4898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.207272734,0.998 +4895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.935405701,0.998 +4899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.29535351,0.998 +4900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.345114353,0.998 +4901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.19470191,0.998 +4902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.125983568,0.998 +4903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.168218464,0.998 +4904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.739807301,0.998 +4905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.945127087,0.998 +4907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.191665841,0.998 +4908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.403519582,0.998 +4909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,8.344354376,0.998 +4906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.726771901,0.998 +4910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.082780381,0.998 +4911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.235090349,0.998 +4912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.824743572,0.998 +4913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.984963853,0.998 +4914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.671772613,0.998 +4915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,10.51608773,0.998 +4916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.438574233,0.998 +4919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,0.244469148,0.998 +4920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.58778172,0.998 +4918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.009485174,0.998 +4917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,8.705355527,0.998 +4921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.851787811,0.998 +4922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.692817004,0.998 +4923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.835019758,0.998 +4924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.393628993,0.998 +4925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.222841656,0.998 +4927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.542585955,0.998 +4926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,0.346061418,0.998 +4928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.397539593,0.998 +4929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.051264538,0.998 +4930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.063087069,0.998 +4931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.847200383,0.998 +4933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,10.28445887,0.998 +4935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.582191447,0.998 +4932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,8.493558537,0.998 +4934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,7.43694172,0.998 +4936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,8.567830516,0.998 +4937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.680762409,0.998 +4938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.545671878,0.998 +4939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.111470863,0.998 +4940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.826005968,0.998 +4941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.483033185,0.998 +4942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.527332374,0.998 +4943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.877077093,0.998 +4945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.836022779,0.998 +4944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.070794591,0.998 +4947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.187598979,0.998 +4948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.507784979,0.998 +4949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.309726178,0.998 +4946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.660425163,0.998 +4950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,8.41081593,0.998 +4951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.757890695,0.998 +4952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,9.008611697,0.998 +4953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.099265444,0.998 +4954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.1891992,0.998 +4955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.437663183,0.998 +4956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.219495727,0.998 +4957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.0293079,0.998 +4958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.229929798,0.998 +4959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.887128527,0.998 +4960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.147809042,0.998 +4962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.673199633,0.998 +4961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.408355131,0.998 +4964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.921267831,0.998 +4963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.758725208,0.998 +4965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.359997128,0.998 +4966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,9.824203566,0.998 +4967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.354360509,0.998 +4968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.202139785,0.998 +4969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.636792477,0.998 +4971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.431416673,0.998 +4972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,8.692970597,0.998 +4973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.025897523,0.998 +4974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.639955071,0.998 +4970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.922232689,0.998 +4975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,6.853417445,0.998 +4976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.959223556,0.998 +4977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.457874713,0.998 +4978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.188515983,0.998 +4979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.574302493,0.998 +4982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.052860125,0.998 +4980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.373672426,0.998 +4981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.984246004,0.998 +4983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.537134117,0.998 +4985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.102684204,0.998 +4986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.587632968,0.998 +4987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.89952364,0.998 +4988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,4.166017184,0.998 +4989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.523040418,0.998 +4990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.910019694,0.998 +4984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.808117424,0.998 +4991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.432667862,0.998 +4992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.712557883,0.998 +4993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.504368744,0.998 +4994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.002587492,0.998 +4996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,2.534801254,0.998 +4995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.881854876,0.998 +4997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,1.258191195,0.998 +4998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.633820888,0.998 +5000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,3.868710007,0.998 +4999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,5,1,5.360808999,0.998 +14001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.654326899,0.997 +14002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.500898402,0.997 +14003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.63098593,0.997 +14004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.921255347,0.997 +14005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,0.022715947,0.997 +14009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.444456057,0.997 +14006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.140606002,0.997 +14007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.491164964,0.997 +14008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,11.05530198,0.997 +14010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.99963829,0.997 +14011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,8.895195013,0.997 +14012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.352138703,0.997 +14013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,8.753428847,0.997 +14015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.394946554,0.997 +14016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.967331096,0.997 +14014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.905551876,0.997 +14017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,10.22508109,0.997 +14018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.139705079,0.997 +14019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.354579739,0.997 +14021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.134275388,0.997 +14020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.552022573,0.997 +14022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.584439578,0.997 +14023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.76430038,0.997 +14025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.654878903,0.997 +14026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.001495504,0.997 +14024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.152456011,0.997 +14027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,8.469376454,0.997 +14028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.329779826,0.997 +14029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.855264252,0.997 +14031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.182454176,0.997 +14032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.186539383,0.997 +14030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.606071357,0.997 +14033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.757674318,0.997 +14034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.605227561,0.997 +14036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.784513053,0.997 +14038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,10.60293884,0.997 +14037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.916157196,0.997 +14035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.00944113,0.997 +14039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,0.726529332,0.997 +14041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.48316455,0.997 +14042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.228187902,0.997 +14040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.080709033,0.997 +14043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.373746228,0.997 +14045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.944968728,0.997 +14046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.961315079,0.997 +14044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.097016981,0.997 +14048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.751256902,0.997 +14049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.480076536,0.997 +14050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.690113241,0.997 +14047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.442606505,0.997 +14052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.3116261,0.997 +14053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.616354509,0.997 +14054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.206105469,0.997 +14051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.011127479,0.997 +14055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.534829567,0.997 +14056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.294679098,0.997 +14058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.728350432,0.997 +14059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.648730069,0.997 +14057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.533707691,0.997 +14060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.906772811,0.997 +14061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.900271711,0.997 +14062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.584967953,0.997 +14065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.770848137,0.997 +14064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,9.122886532,0.997 +14066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.341396355,0.997 +14063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.919007101,0.997 +14068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.430556753,0.997 +14067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.38938958,0.997 +14070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.60510789,0.997 +14069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,-0.017550466,0.997 +14072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.431840945,0.997 +14071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.831077361,0.997 +14073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.792633951,0.997 +14074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.49723347,0.997 +14075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.652202159,0.997 +14076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.838951329,0.997 +14078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.006212772,0.997 +14079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.370960789,0.997 +14080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,11.19509411,0.997 +14081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.286658681,0.997 +14077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.032118129,0.997 +14082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,8.5381104,0.997 +14083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.028527001,0.997 +14084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.302139267,0.997 +14085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.335748498,0.997 +14086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.013841468,0.997 +14087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.186737116,0.997 +14089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.08801709,0.997 +14088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.463898198,0.997 +14090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.640593828,0.997 +14091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.333409412,0.997 +14093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.792728654,0.997 +14092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.61575451,0.997 +14094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.678439479,0.997 +14095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.747486693,0.997 +14096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.977578908,0.997 +14098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.101988165,0.997 +14099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.252407668,0.997 +14097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.632416318,0.997 +14100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,8.957596785,0.997 +14101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.92106099,0.997 +14102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.097870444,0.997 +14103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.016973249,0.997 +14104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.319764772,0.997 +14105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.432976321,0.997 +14106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.210832424,0.997 +14107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.67819155,0.997 +14108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.508402942,0.997 +14109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.132605727,0.997 +14110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.924933235,0.997 +14111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.439175,0.997 +14112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.64753664,0.997 +14113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.092791133,0.997 +14114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.369368318,0.997 +14117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.975306034,0.997 +14115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.643508839,0.997 +14116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.047706226,0.997 +14118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.871807964,0.997 +14119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.579925608,0.997 +14120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.891511106,0.997 +14121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.355374096,0.997 +14122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.190349744,0.997 +14123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.932951045,0.997 +14124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.100014497,0.997 +14125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.149939593,0.997 +14126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.53052394,0.997 +14127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.537547141,0.997 +14129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.991786918,0.997 +14128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.326589582,0.997 +14130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.630466541,0.997 +14132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.678806087,0.997 +14131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.201528479,0.997 +14134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.188034179,0.997 +14133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.68273969,0.997 +14135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.809167642,0.997 +14136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,0.027569999,0.997 +14137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.635403047,0.997 +14138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.467605484,0.997 +14139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.400684338,0.997 +14140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,8.579108554,0.997 +14141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,8.594440969,0.997 +14143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.829399238,0.997 +14142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.121107072,0.997 +14144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.651408786,0.997 +14145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.527209358,0.997 +14146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.904733527,0.997 +14147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.769117048,0.997 +14148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.745294935,0.997 +14149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.304988205,0.997 +14151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.135476185,0.997 +14150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,0.35968679,0.997 +14152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.742079139,0.997 +14153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.557587647,0.997 +14154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.985439654,0.997 +14155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.338864898,0.997 +14156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.994416943,0.997 +14157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.25195725,0.997 +14158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.604264007,0.997 +14160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.918457797,0.997 +14159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.07188598,0.997 +14161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.102906324,0.997 +14162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.83914094,0.997 +14164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.913646696,0.997 +14163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,8.558019054,0.997 +14165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.637593338,0.997 +14168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.756307053,0.997 +14166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.029203408,0.997 +14169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.359471384,0.997 +14170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.098120343,0.997 +14167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.543342353,0.997 +14172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.30958725,0.997 +14171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.752513637,0.997 +14173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.121408181,0.997 +14175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.728205576,0.997 +14176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.019553466,0.997 +14174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.399744776,0.997 +14177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.298940458,0.997 +14179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.717027351,0.997 +14180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.730343002,0.997 +14178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.458608622,0.997 +14181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.448680174,0.997 +14183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.508169556,0.997 +14182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.065877941,0.997 +14184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,0.771027511,0.997 +14185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,-0.533489211,0.997 +14187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.827110843,0.997 +14188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.207834222,0.997 +14189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.214245044,0.997 +14191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,9.02936583,0.997 +14186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.881295183,0.997 +14192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.992283721,0.997 +14190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.300468545,0.997 +14193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.228040241,0.997 +14194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.35885282,0.997 +14196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.760827864,0.997 +14195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.4353968,0.997 +14197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.349093052,0.997 +14198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.151014011,0.997 +14200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.999150863,0.997 +14199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.096175115,0.997 +14201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.948644685,0.997 +14203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.579284323,0.997 +14202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.213773333,0.997 +14204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.229729738,0.997 +14205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.602959949,0.997 +14206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.261861672,0.997 +14209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.812031866,0.997 +14208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.616924998,0.997 +14207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.414512058,0.997 +14210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.9356692,0.997 +14212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.339126355,0.997 +14213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.711321448,0.997 +14211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.620737942,0.997 +14214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.644593746,0.997 +14215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.552519449,0.997 +14216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,0.938373081,0.997 +14217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.591322059,0.997 +14218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.076713721,0.997 +14220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.7613684,0.997 +14221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.094567306,0.997 +14219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.385067744,0.997 +14222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.764721404,0.997 +14223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.470559696,0.997 +14225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.309613425,0.997 +14224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.329942655,0.997 +14226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.229566156,0.997 +14227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.963849193,0.997 +14228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.768078043,0.997 +14229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.210137956,0.997 +14230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.719912674,0.997 +14231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.497744413,0.997 +14232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.704967837,0.997 +14233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.424807033,0.997 +14234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.946549126,0.997 +14235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.904452116,0.997 +14237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,0.086897523,0.997 +14238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.186965407,0.997 +14236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.458956967,0.997 +14239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.256984611,0.997 +14241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.280694191,0.997 +14240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.881422937,0.997 +14243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.152890788,0.997 +14244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,8.120144162,0.997 +14245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.321327863,0.997 +14246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.661050814,0.997 +14242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.814488744,0.997 +14247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.989183078,0.997 +14248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.250281142,0.997 +14249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.17434651,0.997 +14251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.578093071,0.997 +14252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.497069958,0.997 +14253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.172210776,0.997 +14250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.226621801,0.997 +14254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,10.17172504,0.997 +14255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.48148442,0.997 +14256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.896864888,0.997 +14257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.180208135,0.997 +14259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.533206732,0.997 +14260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.475959145,0.997 +14258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.431843945,0.997 +14261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.845878668,0.997 +14262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.73501229,0.997 +14264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.899518137,0.997 +14263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.365381159,0.997 +14267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.680026628,0.997 +14266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.790858176,0.997 +14268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.181783727,0.997 +14269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.931895276,0.997 +14270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.042846873,0.997 +14271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.008260399,0.997 +14265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.920990336,0.997 +14272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.117527882,0.997 +14273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.43012966,0.997 +14275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.279180954,0.997 +14274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.583120953,0.997 +14276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.05145055,0.997 +14277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.274288168,0.997 +14279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.40032181,0.997 +14278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.977637672,0.997 +14280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.674405537,0.997 +14281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.919338612,0.997 +14282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.430335182,0.997 +14283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.515918409,0.997 +14284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.419157972,0.997 +14285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.953026861,0.997 +14286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.378876196,0.997 +14287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.47396542,0.997 +14288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.389019598,0.997 +14289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.035178638,0.997 +14290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.49367541,0.997 +14292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.270707466,0.997 +14293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.446118912,0.997 +14291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,8.271157981,0.997 +14294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.558761528,0.997 +14295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.458474737,0.997 +14296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.367752555,0.997 +14297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.127480254,0.997 +14298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.781085316,0.997 +14300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.937238921,0.997 +14299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.312019779,0.997 +14301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.661816818,0.997 +14302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.548497379,0.997 +14304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.285951381,0.997 +14303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.7540608,0.997 +14306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.472002655,0.997 +14307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.756230841,0.997 +14305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.00465179,0.997 +14308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.770615739,0.997 +14309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.32149163,0.997 +14310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.659510479,0.997 +14312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.713014457,0.997 +14313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.323247001,0.997 +14311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.535209196,0.997 +14314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.765885674,0.997 +14315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,9.440628434,0.997 +14316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.930046857,0.997 +14317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.008830855,0.997 +14318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.135596335,0.997 +14320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.930065626,0.997 +14319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.988082436,0.997 +14321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.863639994,0.997 +14322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.312874484,0.997 +14323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.832226638,0.997 +14324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.989706199,0.997 +14326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.798838987,0.997 +14328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.196158007,0.997 +14327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.972880413,0.997 +14329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.494979188,0.997 +14325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.931183043,0.997 +14331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.08102352,0.997 +14330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.711496373,0.997 +14332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.304983821,0.997 +14333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.930375805,0.997 +14334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.822563637,0.997 +14335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.549367412,0.997 +14337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.006711701,0.997 +14338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.631634696,0.997 +14336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.173641902,0.997 +14339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.769209682,0.997 +14341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.643666548,0.997 +14342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.368315338,0.997 +14340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.290926658,0.997 +14343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.77148108,0.997 +14345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.82887559,0.997 +14344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.135215105,0.997 +14347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.453483783,0.997 +14348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.867221079,0.997 +14346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.41390278,0.997 +14349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.088075353,0.997 +14352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.17485256,0.997 +14350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.460214477,0.997 +14351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.617069433,0.997 +14353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.159530215,0.997 +14355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.56419095,0.997 +14356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.919729898,0.997 +14357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.183341415,0.997 +14354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.067731621,0.997 +14358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.721742134,0.997 +14359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.998354772,0.997 +14360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.97276622,0.997 +14362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.483363302,0.997 +14361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.174083511,0.997 +14363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.297902796,0.997 +14364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.101774275,0.997 +14365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.845280847,0.997 +14366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.225466062,0.997 +14367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.667513247,0.997 +14368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.114831202,0.997 +14369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.974779703,0.997 +14371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.215712466,0.997 +14370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.508071331,0.997 +14372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.914441481,0.997 +14373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.033226215,0.997 +14374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.786409411,0.997 +14375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.374079351,0.997 +14376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,10.02547349,0.997 +14378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.491401265,0.997 +14377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.206741778,0.997 +14379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,8.740076106,0.997 +14380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.175280489,0.997 +14381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.985790095,0.997 +14382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.72125512,0.997 +14383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.785241173,0.997 +14386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.220561691,0.997 +14384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.742338885,0.997 +14385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.49139877,0.997 +14387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.752210217,0.997 +14388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.188698045,0.997 +14389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.727488404,0.997 +14390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.417908077,0.997 +14391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.841296469,0.997 +14392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.987834019,0.997 +14393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.271965316,0.997 +14394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.621114521,0.997 +14396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.456419738,0.997 +14398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.743364273,0.997 +14397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.515900086,0.997 +14395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.705833596,0.997 +14400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.391103942,0.997 +14399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.647203248,0.997 +14401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.275786908,0.997 +14402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.848709769,0.997 +14403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,8.087939031,0.997 +14405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.387786443,0.997 +14404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.12673427,0.997 +14406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.833160111,0.997 +14407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.219815275,0.997 +14408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.574573818,0.997 +14409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.345270534,0.997 +14412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.504984749,0.997 +14411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.588942743,0.997 +14410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.134222429,0.997 +14415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.020813723,0.997 +14414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.394381724,0.997 +14416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.381002051,0.997 +14413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.674853773,0.997 +14417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.792032286,0.997 +14418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.417586212,0.997 +14419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.074377005,0.997 +14420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.993243549,0.997 +14421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.443122655,0.997 +14422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.441898943,0.997 +14423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.5193182,0.997 +14424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.742301788,0.997 +14426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.517309659,0.997 +14428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.490018454,0.997 +14425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.56231626,0.997 +14429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.472829721,0.997 +14427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.186216721,0.997 +14431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.13613512,0.997 +14433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.795567695,0.997 +14432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.48976177,0.997 +14430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,0.565223563,0.997 +14434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.876414266,0.997 +14435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.988790016,0.997 +14436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.525938108,0.997 +14438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.841783674,0.997 +14440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,0.985995711,0.997 +14437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.552384651,0.997 +14439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.220858069,0.997 +14442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.807127184,0.997 +14443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.884092894,0.997 +14441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.839172565,0.997 +14446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.820405421,0.997 +14444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.300045762,0.997 +14447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.841765991,0.997 +14449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.22143544,0.997 +14450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.720869563,0.997 +14445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.866670789,0.997 +14451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.530326636,0.997 +14452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.804654694,0.997 +14454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.202250834,0.997 +14453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.123557696,0.997 +14448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.651247892,0.997 +14457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.575619909,0.997 +14458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.082608749,0.997 +14455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.933202365,0.997 +14456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.05050883,0.997 +14459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.201777877,0.997 +14460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.921576261,0.997 +14462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.046431635,0.997 +14464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.663775702,0.997 +14461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.086714348,0.997 +14463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.471285849,0.997 +14465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.301476082,0.997 +14468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.016026296,0.997 +14469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.373111983,0.997 +14467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.421573158,0.997 +14466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,9.514878975,0.997 +14470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.269626457,0.997 +14472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.493499558,0.997 +14471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.443478328,0.997 +14473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.69048786,0.997 +14474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.146597508,0.997 +14476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.795403902,0.997 +14477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.847399092,0.997 +14478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.659097886,0.997 +14480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.399683709,0.997 +14481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,9.522927906,0.997 +14475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.860333915,0.997 +14482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.163534883,0.997 +14483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.165865288,0.997 +14479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.00696532,0.997 +14484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.6085048,0.997 +14486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.772589662,0.997 +14485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.972213845,0.997 +14487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.776044185,0.997 +14488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.39704852,0.997 +14489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.582415125,0.997 +14490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.710177445,0.997 +14491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.305937953,0.997 +14492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,13.16044536,0.997 +14493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.995996077,0.997 +14494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.114786422,0.997 +14495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.458906175,0.997 +14497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.145737612,0.997 +14498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.673529837,0.997 +14496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.4473984,0.997 +14500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.014822194,0.997 +14499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.008886057,0.997 +14502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.334653602,0.997 +14501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,10.42529751,0.997 +14503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.848966465,0.997 +14504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.407801102,0.997 +14505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.116642203,0.997 +14506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.108856009,0.997 +14507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.182843815,0.997 +14508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.731909894,0.997 +14509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.791033103,0.997 +14511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.609500331,0.997 +14510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.504601978,0.997 +14512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.068447346,0.997 +14514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,11.75353974,0.997 +14515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.544930395,0.997 +14513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.636669021,0.997 +14517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.061428665,0.997 +14516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.401162841,0.997 +14519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.813423014,0.997 +14520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.76111864,0.997 +14518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.707501612,0.997 +14521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.718313673,0.997 +14525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.855337427,0.997 +14523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.470132362,0.997 +14522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.276621998,0.997 +14524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.091967471,0.997 +14526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.439609967,0.997 +14527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.599147966,0.997 +14529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.936600366,0.997 +14528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.996123358,0.997 +14532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.936227559,0.997 +14530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.915042632,0.997 +14531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.663771977,0.997 +14536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.267382091,0.997 +14535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.384661441,0.997 +14533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.718029922,0.997 +14534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,9.885034356,0.997 +14537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.878173346,0.997 +14538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.337313551,0.997 +14539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.778817779,0.997 +14540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.083252597,0.997 +14541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.132419708,0.997 +14542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,9.497225335,0.997 +14544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.147782776,0.997 +14543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.081160015,0.997 +14545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.633621237,0.997 +14546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.077452382,0.997 +14547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.490029892,0.997 +14548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.164607673,0.997 +14549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.713771306,0.997 +14550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.231841518,0.997 +14552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.174492848,0.997 +14551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.942319123,0.997 +14553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.241873509,0.997 +14554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.266496554,0.997 +14555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.060934975,0.997 +14556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.39878636,0.997 +14558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.287625945,0.997 +14557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.510612064,0.997 +14559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.166632304,0.997 +14560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.670151085,0.997 +14561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.385762034,0.997 +14562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.482227089,0.997 +14564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.227715911,0.997 +14563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.898703547,0.997 +14565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.805891495,0.997 +14566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.60043402,0.997 +14569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.579809904,0.997 +14568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.115829162,0.997 +14570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.771677704,0.997 +14567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.15107395,0.997 +14571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.005912147,0.997 +14573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.152674081,0.997 +14572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.831133471,0.997 +14575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,8.904148372,0.997 +14576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.644755347,0.997 +14577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.237192151,0.997 +14574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.989266754,0.997 +14579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,0.85378668,0.997 +14581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.182348032,0.997 +14578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.200835684,0.997 +14580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.478531414,0.997 +14582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.414294707,0.997 +14584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.614430753,0.997 +14583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.254350073,0.997 +14585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.157708056,0.997 +14586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.552677543,0.997 +14587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.614443798,0.997 +14589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,9.778420464,0.997 +14590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.819251454,0.997 +14591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.153447158,0.997 +14588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,0.43302758,0.997 +14592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.786707574,0.997 +14595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.256351585,0.997 +14593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.716188282,0.997 +14594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.208669454,0.997 +14596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.764942574,0.997 +14597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.656291583,0.997 +14598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.461275623,0.997 +14599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.681848273,0.997 +14600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.451422795,0.997 +14601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.675382913,0.997 +14602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.342286825,0.997 +14603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.834728883,0.997 +14604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.145914283,0.997 +14606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.184603351,0.997 +14607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,9.403340885,0.997 +14608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.405795045,0.997 +14605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,0.455839254,0.997 +14609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.26632131,0.997 +14612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.703744084,0.997 +14610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.368251624,0.997 +14613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.067608271,0.997 +14611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.905404146,0.997 +14614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.499587407,0.997 +14615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.148432747,0.997 +14616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,8.893296531,0.997 +14617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.498257783,0.997 +14618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.843983142,0.997 +14619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.325295159,0.997 +14620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.838667006,0.997 +14623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.613842256,0.997 +14624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.400112403,0.997 +14621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,0.934671793,0.997 +14622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.046950994,0.997 +14626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.217767726,0.997 +14628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.808567834,0.997 +14625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.030654819,0.997 +14629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.735641808,0.997 +14630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.665245708,0.997 +14631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.797035593,0.997 +14627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.529618292,0.997 +14632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.438809045,0.997 +14633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.664577737,0.997 +14634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.224840011,0.997 +14636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.046573915,0.997 +14637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.02173877,0.997 +14638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.780480484,0.997 +14635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.89795153,0.997 +14642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.5505054,0.997 +14639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.173335861,0.997 +14640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.32043226,0.997 +14641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.125187995,0.997 +14644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,0.998859884,0.997 +14643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.924506504,0.997 +14645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.018626513,0.997 +14646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.637723362,0.997 +14647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.466491019,0.997 +14649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.132563598,0.997 +14650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.401401995,0.997 +14651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.288897725,0.997 +14652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.149753992,0.997 +14653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.647908931,0.997 +14648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.36384222,0.997 +14654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.822982826,0.997 +14657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.464687772,0.997 +14655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.906413888,0.997 +14658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.250122291,0.997 +14656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.753011765,0.997 +14660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.805336437,0.997 +14659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.519917123,0.997 +14662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.044698851,0.997 +14661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.842117571,0.997 +14663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.915954152,0.997 +14664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.497933647,0.997 +14665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.024010405,0.997 +14666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.064323751,0.997 +14667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.142642747,0.997 +14668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.044245783,0.997 +14670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.155947909,0.997 +14669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.431102959,0.997 +14671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.094183541,0.997 +14674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.124633413,0.997 +14672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.440101201,0.997 +14673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.413352795,0.997 +14676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.755298524,0.997 +14675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.802355134,0.997 +14677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.429127223,0.997 +14678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,0.933768857,0.997 +14679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.727105406,0.997 +14680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.349163355,0.997 +14681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.464154281,0.997 +14684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.341164376,0.997 +14682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.994201043,0.997 +14683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.398369108,0.997 +14685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.116540985,0.997 +14688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.33095314,0.997 +14687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.01506611,0.997 +14689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.042053003,0.997 +14686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.988553995,0.997 +14690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.643652329,0.997 +14691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.30439757,0.997 +14692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.219036059,0.997 +14693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.736148968,0.997 +14694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.678371718,0.997 +14695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.500040198,0.997 +14696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.297986145,0.997 +14697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.352500025,0.997 +14698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.727064851,0.997 +14699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.381800274,0.997 +14700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.409035431,0.997 +14701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.058609727,0.997 +14702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.272678941,0.997 +14703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.35561631,0.997 +14704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,8.568385118,0.997 +14705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,11.18671565,0.997 +14706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.892387587,0.997 +14707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.629481626,0.997 +14708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.082747646,0.997 +14710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.479800462,0.997 +14709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.675612866,0.997 +14711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.902174098,0.997 +14712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.664954154,0.997 +14713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.706108596,0.997 +14714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,0.63930237,0.997 +14715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.189923486,0.997 +14716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.291562975,0.997 +14718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.753926707,0.997 +14719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.229644541,0.997 +14720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.432599995,0.997 +14717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.888880358,0.997 +14721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,8.488558257,0.997 +14722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.585256006,0.997 +14724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.445712685,0.997 +14723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.242151671,0.997 +14725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.28175039,0.997 +14726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.11929962,0.997 +14728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.394460624,0.997 +14727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.499876107,0.997 +14730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.006829099,0.997 +14731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.269195425,0.997 +14732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.671671234,0.997 +14729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.219152517,0.997 +14734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,9.823805378,0.997 +14733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.520253033,0.997 +14735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.789439889,0.997 +14737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.961758139,0.997 +14738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.68637254,0.997 +14739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.255525796,0.997 +14736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.858031821,0.997 +14740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,8.181455706,0.997 +14741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.076597857,0.997 +14742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.686432273,0.997 +14744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.184278907,0.997 +14745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.620665597,0.997 +14743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.110171248,0.997 +14746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.489263133,0.997 +14747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.021336861,0.997 +14750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.600142714,0.997 +14749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.369154612,0.997 +14748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.874302913,0.997 +14751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.109589496,0.997 +14752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.362027511,0.997 +14753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.406597118,0.997 +14754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.244476608,0.997 +14755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.344519639,0.997 +14756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.724806571,0.997 +14758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.995557784,0.997 +14759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.889329149,0.997 +14760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.591653064,0.997 +14761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.389677289,0.997 +14757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.044103493,0.997 +14764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.395427289,0.997 +14762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.169686531,0.997 +14763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.444020184,0.997 +14765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.540081765,0.997 +14767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.754415714,0.997 +14768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.260676827,0.997 +14766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.644780905,0.997 +14769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.6773778,0.997 +14770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.867312583,0.997 +14771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,9.8140888,0.997 +14772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.806900774,0.997 +14774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.766742838,0.997 +14775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.237171437,0.997 +14776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.178559342,0.997 +14773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.252816172,0.997 +14777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.424342217,0.997 +14779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.826985085,0.997 +14778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,8.614984436,0.997 +14780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.793180735,0.997 +14782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.805878549,0.997 +14781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.66201265,0.997 +14783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.014447604,0.997 +14784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.337458178,0.997 +14787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.476201489,0.997 +14785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.626670417,0.997 +14786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.846314198,0.997 +14789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.33546741,0.997 +14790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,8.246396892,0.997 +14791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.350812369,0.997 +14788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.850860527,0.997 +14792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.571558029,0.997 +14794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.013639623,0.997 +14793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.79469394,0.997 +14796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.322356721,0.997 +14797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.769402761,0.997 +14795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.580783831,0.997 +14800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.371898546,0.997 +14799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,0.949258289,0.997 +14798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,9.501013053,0.997 +14801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.345094456,0.997 +14802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.707682337,0.997 +14803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.395872378,0.997 +14804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.196409863,0.997 +14806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.471616886,0.997 +14805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.426065568,0.997 +14807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.763208531,0.997 +14808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.046827243,0.997 +14809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.727258993,0.997 +14812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.065990051,0.997 +14810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,0.524495738,0.997 +14811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.439635117,0.997 +14813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.964449913,0.997 +14814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.262160277,0.997 +14815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.173214973,0.997 +14816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.352132419,0.997 +14817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.973441887,0.997 +14818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.668702219,0.997 +14819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.826481827,0.997 +14820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.748545289,0.997 +14821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.274011067,0.997 +14822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.986900151,0.997 +14824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.125205282,0.997 +14823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,8.141785714,0.997 +14825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.533876923,0.997 +14826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.876804525,0.997 +14827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.804046241,0.997 +14830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.006045566,0.997 +14829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.3140901,0.997 +14831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.080471426,0.997 +14832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.518151976,0.997 +14833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.193575324,0.997 +14834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,8.669535382,0.997 +14828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.215703438,0.997 +14835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.213788462,0.997 +14836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,8.672112069,0.997 +14837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.331021631,0.997 +14838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,8.32113791,0.997 +14839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.051106079,0.997 +14840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,10.38127716,0.997 +14842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,9.39283956,0.997 +14841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,9.325957509,0.997 +14844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.17278374,0.997 +14843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.745574125,0.997 +14845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.443352312,0.997 +14846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.512706686,0.997 +14847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.245186924,0.997 +14849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.65200576,0.997 +14848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.283815036,0.997 +14852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.431845181,0.997 +14851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.740055032,0.997 +14853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.077584325,0.997 +14855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.651253692,0.997 +14850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.136849988,0.997 +14854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.938021322,0.997 +14856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.255564536,0.997 +14858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.785359816,0.997 +14857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.709476906,0.997 +14859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.424371115,0.997 +14860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.264875362,0.997 +14862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.209095532,0.997 +14863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.960935258,0.997 +14861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.233639669,0.997 +14864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.20696301,0.997 +14865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.636669038,0.997 +14866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.753109669,0.997 +14868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.890761336,0.997 +14867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,8.908151764,0.997 +14869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.452393959,0.997 +14870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.457348271,0.997 +14871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.325362459,0.997 +14872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.072025806,0.997 +14873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.756372735,0.997 +14874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.815714208,0.997 +14875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.82399456,0.997 +14877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.571630903,0.997 +14878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.230920885,0.997 +14876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.423466884,0.997 +14879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.139747092,0.997 +14880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,11.4421646,0.997 +14881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,9.002836192,0.997 +14883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.744281511,0.997 +14882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.338137969,0.997 +14884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.521419588,0.997 +14885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.180891044,0.997 +14886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.228250745,0.997 +14887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.175901292,0.997 +14888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.03991611,0.997 +14889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.515983395,0.997 +14890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.95257238,0.997 +14893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.107336782,0.997 +14892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.249670451,0.997 +14891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,8.89657042,0.997 +14894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.667175476,0.997 +14895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.874259373,0.997 +14896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.9960732,0.997 +14897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.361790294,0.997 +14898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.86109031,0.997 +14899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.880344288,0.997 +14900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.830902795,0.997 +14901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.510465116,0.997 +14903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.983835921,0.997 +14902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.669804599,0.997 +14904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.173529999,0.997 +14906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.185621362,0.997 +14907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.850803358,0.997 +14908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.578332306,0.997 +14905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.786335936,0.997 +14909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.311481196,0.997 +14910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.605351886,0.997 +14911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.487186557,0.997 +14913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.474359647,0.997 +14912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.246912863,0.997 +14914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.996975007,0.997 +14915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,0.753406186,0.997 +14917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.290280423,0.997 +14918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.234763271,0.997 +14916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.733497637,0.997 +14919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.010206496,0.997 +14920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.273890977,0.997 +14922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.692332121,0.997 +14921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.977237121,0.997 +14923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.564936192,0.997 +14925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.289471011,0.997 +14926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.002809515,0.997 +14927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.961778614,0.997 +14928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.171687621,0.997 +14929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.834219699,0.997 +14930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.05040746,0.997 +14924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.496734,0.997 +14931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.251280685,0.997 +14932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.915299493,0.997 +14933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.365124586,0.997 +14934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.391037663,0.997 +14935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.242347506,0.997 +14936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.911340751,0.997 +14937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.908298682,0.997 +14938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.676876174,0.997 +14939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.995355324,0.997 +14940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.903987747,0.997 +14941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.554616336,0.997 +14943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.627573043,0.997 +14944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.185110395,0.997 +14945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.918280102,0.997 +14942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.898341876,0.997 +14947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.241801849,0.997 +14946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.860056924,0.997 +14949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.622747126,0.997 +14948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,9.848432064,0.997 +14950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,13.85935263,0.997 +14951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.652185643,0.997 +14953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.413976144,0.997 +14954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.318706359,0.997 +14952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.86265461,0.997 +14955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.53551582,0.997 +14956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.448763061,0.997 +14957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.641521785,0.997 +14958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.214865804,0.997 +14959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.63677504,0.997 +14960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.245637634,0.997 +14963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.64370091,0.997 +14962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.219827505,0.997 +14964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.240672651,0.997 +14965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.465983704,0.997 +14961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.657526308,0.997 +14966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.778140702,0.997 +14967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.581824775,0.997 +14968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.703518958,0.997 +14969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.258135156,0.997 +14970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.405195783,0.997 +14971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.115095851,0.997 +14973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.206845153,0.997 +14972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.952685759,0.997 +14974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.790568591,0.997 +14975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.015632748,0.997 +14976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.274196866,0.997 +14978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.370651586,0.997 +14977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,-0.04475774,0.997 +14979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.540989442,0.997 +14980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.131531699,0.997 +14981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.04786375,0.997 +14982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.475635434,0.997 +14983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.006306576,0.997 +14984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,10.10108669,0.997 +14985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,8.023848098,0.997 +14986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.596792907,0.997 +14987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.929192246,0.997 +14989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,4.920533932,0.997 +14988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.373027534,0.997 +14990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.964879006,0.997 +14991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,8.598337967,0.997 +14992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.975120382,0.997 +14993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,7.816478433,0.997 +14995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,2.930436606,0.997 +14996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,6.674575454,0.997 +14994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.929998497,0.997 +14997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.009321411,0.997 +14999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,3.878714555,0.997 +14998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,5.033584057,0.997 +15000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,5,1,1.277713051,0.997 +24002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.824120456,1 +24001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.228928607,1 +24006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.270537431,1 +24005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.120605198,1 +24004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,9.093935529,1 +24003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.275432568,1 +24007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.376145155,1 +24008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,8.264557821,1 +24009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.851813862,1 +24010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.180650625,1 +24011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.837738799,1 +24013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.398682216,1 +24012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.839725846,1 +24014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,8.302561827,1 +24016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.256119917,1 +24017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.430317013,1 +24018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.178933993,1 +24015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.367773302,1 +24019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.463764448,1 +24021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.640874776,1 +24020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.90762113,1 +24022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.003991434,1 +24023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.218463686,1 +24024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.59303425,1 +24025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.713162117,1 +24026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.911405372,1 +24027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.142123478,1 +24028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.720703611,1 +24030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.02264835,1 +24031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.567659615,1 +24029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.020345933,1 +24032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.628143242,1 +24033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.170350871,1 +24034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.371367978,1 +24035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.525726522,1 +24037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.348359529,1 +24038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.172789051,1 +24039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.818853431,1 +24036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.531102526,1 +24040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,8.318317153,1 +24041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.063026021,1 +24042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.099439511,1 +24044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.862319148,1 +24045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.48030388,1 +24046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.394876573,1 +24043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.026446954,1 +24047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.958116618,1 +24048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.22782369,1 +24049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.036927015,1 +24050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.117171882,1 +24051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.974877947,1 +24053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.586005067,1 +24052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.160294022,1 +24054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.118471421,1 +24055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.167209632,1 +24056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.561533362,1 +24057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.217970246,1 +24059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.199007672,1 +24060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.841817031,1 +24061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.279752135,1 +24058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.883161401,1 +24062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.341309719,1 +24064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.724384698,1 +24063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.54598636,1 +24065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.173083645,1 +24066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.45644121,1 +24068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.899531374,1 +24067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.294975293,1 +24069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.01490681,1 +24070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.246778284,1 +24071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,9.94010169,1 +24072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.435025263,1 +24074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.370094406,1 +24075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.360430222,1 +24076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.319004825,1 +24073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.803446395,1 +24078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.099845679,1 +24079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.102799036,1 +24080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.586031293,1 +24077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.687205182,1 +24082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.715086967,1 +24081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.643719288,1 +24084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.627643333,1 +24083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.141652593,1 +24085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.982195534,1 +24086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.661115831,1 +24087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.160890884,1 +24088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.195400232,1 +24089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.55404723,1 +24090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.398894538,1 +24091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.344610397,1 +24094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.838846728,1 +24093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.040505261,1 +24092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.143546274,1 +24095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.64181213,1 +24096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.351962764,1 +24097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.698118521,1 +24098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.493380659,1 +24099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.007226891,1 +24100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.404063521,1 +24101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.132048384,1 +24102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.43917665,1 +24103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.46839733,1 +24104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,8.299169709,1 +24105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,11.22934963,1 +24107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.82303853,1 +24106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.080723903,1 +24108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.55495929,1 +24109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.332433467,1 +24110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.266584426,1 +24111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.574983422,1 +24112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.124078816,1 +24113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.847539954,1 +24114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.850215143,1 +24116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.757657383,1 +24117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.246538173,1 +24115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.725338218,1 +24118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.925942241,1 +24119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.888350911,1 +24120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.919389036,1 +24121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.467696348,1 +24122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.114144276,1 +24123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.832391604,1 +24125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.399674232,1 +24124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.536148146,1 +24126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.995346054,1 +24127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.225686786,1 +24129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.622189825,1 +24128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.704663035,1 +24130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.397870639,1 +24131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.20944145,1 +24134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.054569835,1 +24132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.341790804,1 +24133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.61654946,1 +24137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.114380418,1 +24135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.009274577,1 +24136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.377293524,1 +24138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.94804532,1 +24141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.052480476,1 +24139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.464698116,1 +24140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.898323032,1 +24142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.128294512,1 +24143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.677881195,1 +24144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.77302552,1 +24145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.70420809,1 +24147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.332039397,1 +24146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.126051094,1 +24148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.442515178,1 +24149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,8.213132159,1 +24150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.254778542,1 +24151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.254954502,1 +24152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.502926211,1 +24153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.961829425,1 +24155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.659452949,1 +24154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.376906226,1 +24156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.570005764,1 +24157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.139860419,1 +24159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.416898444,1 +24161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.200091012,1 +24158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.388610892,1 +24160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.823346315,1 +24162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.056079009,1 +24164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.087877717,1 +24163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.386361271,1 +24165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.54160063,1 +24166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.532381179,1 +24167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.536182478,1 +24169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,8.659443645,1 +24168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,8.274029294,1 +24171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.078312365,1 +24170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.954533911,1 +24172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,0.717959151,1 +24173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.930844356,1 +24174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.388818061,1 +24176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.411060718,1 +24175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.088047587,1 +24177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.400415642,1 +24178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.881808024,1 +24179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.713894484,1 +24180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.614872911,1 +24181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.875310169,1 +24182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.43442647,1 +24183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.685312339,1 +24184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.143513886,1 +24185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,8.125873497,1 +24186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.709615057,1 +24188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.285134372,1 +24187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.947821028,1 +24191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.887538163,1 +24192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.387414838,1 +24190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.355173067,1 +24189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.206495199,1 +24195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.016863596,1 +24194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.854229214,1 +24193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.119253246,1 +24198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.925643296,1 +24197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,8.378901058,1 +24199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.759459566,1 +24196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.217233053,1 +24201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.546183692,1 +24200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.497993452,1 +24203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.536902727,1 +24202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.915713612,1 +24204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.328139862,1 +24205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.555832444,1 +24207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.746429092,1 +24208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.102279706,1 +24209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.804450019,1 +24210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.685659364,1 +24211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.624444602,1 +24206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.884815227,1 +24212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.748505264,1 +24213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.073638334,1 +24214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.557073777,1 +24216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.406549411,1 +24215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,0.884280202,1 +24218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.480531927,1 +24217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.539201001,1 +24219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,0.806853946,1 +24220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.794366304,1 +24221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.391839588,1 +24222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.858509992,1 +24223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.064382042,1 +24224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.42086144,1 +24225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.833567418,1 +24226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.226695476,1 +24227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.459017322,1 +24229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.855255078,1 +24230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.276298584,1 +24231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.087000209,1 +24228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.77627698,1 +24232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.56452689,1 +24233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.194486235,1 +24235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,9.40091885,1 +24234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.191542055,1 +24236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.446544812,1 +24237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,8.245797472,1 +24238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.420447219,1 +24239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.345763123,1 +24240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.014396328,1 +24241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.423840087,1 +24242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.620590063,1 +24243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.8768626,1 +24244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.489015876,1 +24245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.690981167,1 +24247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.732743198,1 +24246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.735690688,1 +24249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.394967117,1 +24248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.945114054,1 +24250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.377920005,1 +24251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.768512771,1 +24252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.064277125,1 +24253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.228943305,1 +24254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.91075278,1 +24255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.736585444,1 +24256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.571511844,1 +24257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.798881533,1 +24258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.360157266,1 +24259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.455940785,1 +24260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.818812125,1 +24261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.635824307,1 +24262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.445687722,1 +24264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.640892111,1 +24265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.440401004,1 +24263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.275691612,1 +24266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.750915764,1 +24267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.955884935,1 +24268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.963643395,1 +24269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.936345811,1 +24270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.620609131,1 +24271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.173009017,1 +24272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,8.763244598,1 +24273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.021298955,1 +24274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.212558693,1 +24275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.953706067,1 +24276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.709881608,1 +24278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.344311168,1 +24277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.958881223,1 +24279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.151083172,1 +24280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.742238912,1 +24281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.461098919,1 +24282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.997069078,1 +24283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.121427572,1 +24284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.420948787,1 +24285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.717735611,1 +24286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.546895004,1 +24287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.680356746,1 +24288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.836178442,1 +24289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.829325936,1 +24290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.041677891,1 +24291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.160827921,1 +24293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.647483267,1 +24292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.326506346,1 +24295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.441747414,1 +24294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.147880567,1 +24298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.455673683,1 +24296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.434705354,1 +24299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.547446204,1 +24300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.510071652,1 +24297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.579973311,1 +24301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.695464357,1 +24302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.763478888,1 +24303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,8.956288776,1 +24304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.751116093,1 +24305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.987981373,1 +24306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.709560941,1 +24309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.672342628,1 +24308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.814811818,1 +24307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.193682412,1 +24310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.464466608,1 +24312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.679620269,1 +24313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.941421985,1 +24311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.805247582,1 +24314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.015861785,1 +24315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.261677979,1 +24316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.935673262,1 +24317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.741747122,1 +24318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.878169998,1 +24320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.633528921,1 +24321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.294116083,1 +24322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,10.0912065,1 +24323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.380654133,1 +24319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.345459379,1 +24324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.322230291,1 +24327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.82724565,1 +24325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.890705404,1 +24328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.56637002,1 +24326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.11285573,1 +24329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.86832887,1 +24330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.515926327,1 +24332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.941480881,1 +24333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.971291492,1 +24334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.799864978,1 +24335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,8.136148742,1 +24331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.310770096,1 +24338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.580522032,1 +24337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.324225785,1 +24339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.240965699,1 +24336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.829095002,1 +24342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.635196048,1 +24340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.754519759,1 +24343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.138798623,1 +24341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.16769979,1 +24344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.133962026,1 +24345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.772787221,1 +24347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.509895671,1 +24346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.344503645,1 +24349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.321520589,1 +24351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.772803552,1 +24350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.360573435,1 +24348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.600288493,1 +24352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,8.210222947,1 +24354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.666408174,1 +24355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.121116733,1 +24353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.320303421,1 +24356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.889711856,1 +24358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.618056881,1 +24359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.730116407,1 +24357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.103637105,1 +24361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.142229135,1 +24360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.322269352,1 +24362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.367324859,1 +24363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.331260587,1 +24365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.295745755,1 +24366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.509522992,1 +24367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.447749037,1 +24368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.383541418,1 +24364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.660448842,1 +24369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.657035601,1 +24372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.269090848,1 +24371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.29234601,1 +24370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.381161052,1 +24373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.705406436,1 +24374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.889915214,1 +24376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.802808022,1 +24375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.485924802,1 +24377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.838908071,1 +24378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.00201621,1 +24379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.102301646,1 +24380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.226203979,1 +24381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.13257929,1 +24384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.39426815,1 +24383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.822223842,1 +24385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.20977724,1 +24382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.0775397,1 +24386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.637131694,1 +24387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.571301909,1 +24388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.491163168,1 +24389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.664312976,1 +24390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.34217553,1 +24391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.342369118,1 +24392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.072175368,1 +24393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.996268865,1 +24394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.116132357,1 +24396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.907867296,1 +24397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.97961942,1 +24395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.754915081,1 +24398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.629373749,1 +24399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.229685246,1 +24402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.609969951,1 +24400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.301949959,1 +24403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.201974346,1 +24401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.800859765,1 +24404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.626379938,1 +24406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.174507784,1 +24405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.563057268,1 +24409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.358601832,1 +24408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.155127102,1 +24410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.152906566,1 +24407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.407826755,1 +24411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.094102216,1 +24412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.702247398,1 +24413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.284314087,1 +24414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.9859487,1 +24416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.026230364,1 +24417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.445455504,1 +24415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.304869558,1 +24418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.519397506,1 +24420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.588869976,1 +24419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.332914374,1 +24421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,8.873007266,1 +24423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.865613536,1 +24422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.17286076,1 +24424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.703715999,1 +24425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.41548496,1 +24426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.504239578,1 +24428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.888680955,1 +24429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.736483544,1 +24427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.775110705,1 +24432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.603667299,1 +24431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.116589168,1 +24430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.374288315,1 +24433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.023265413,1 +24434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.985569691,1 +24435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.328310362,1 +24436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.380908826,1 +24437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.251047237,1 +24438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.065601465,1 +24439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.327620998,1 +24440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.669626847,1 +24442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.97243968,1 +24443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.32440734,1 +24441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.295789545,1 +24444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.405545665,1 +24446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.819752393,1 +24445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.692018211,1 +24449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.197920115,1 +24450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.084536885,1 +24448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.731419624,1 +24447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.678078243,1 +24452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.279755902,1 +24451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.551046847,1 +24453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.440573458,1 +24454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.18890795,1 +24455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.280593497,1 +24457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.357663819,1 +24456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,9.938344038,1 +24458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.919393454,1 +24459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,11.13488738,1 +24461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.071098723,1 +24460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.538411996,1 +24462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.902153635,1 +24465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.462195459,1 +24463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.697322478,1 +24464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.825132594,1 +24466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.751984296,1 +24467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.736924209,1 +24469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.532308921,1 +24468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.118363015,1 +24470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.969044602,1 +24471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.827841127,1 +24472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.244360232,1 +24473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,8.786490704,1 +24475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.825262875,1 +24474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.216662334,1 +24477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.780839743,1 +24476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.745072605,1 +24478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.235617549,1 +24480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.55896811,1 +24481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.776875948,1 +24479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.523186318,1 +24482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.122765079,1 +24484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.417113588,1 +24483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.98876547,1 +24486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,8.293157772,1 +24487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,8.339354426,1 +24488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.904527532,1 +24485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.167075561,1 +24490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.094072007,1 +24491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.157623718,1 +24489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.759188637,1 +24492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.045707512,1 +24493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.571773424,1 +24494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.021545357,1 +24495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.323522334,1 +24496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.112909804,1 +24498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.361926267,1 +24497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.941217424,1 +24499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,0.859556112,1 +24501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.031602663,1 +24503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.833246325,1 +24502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.40117563,1 +24504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.626250665,1 +24506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.681045542,1 +24505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.797806078,1 +24500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.225391597,1 +24508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.877316139,1 +24507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.465249016,1 +24509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.079260322,1 +24510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.525004859,1 +24512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.521240767,1 +24511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.649461425,1 +24513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,8.643478022,1 +24514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.594114388,1 +24515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.58387781,1 +24516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.225520055,1 +24517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.832323713,1 +24519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.702138229,1 +24520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.811467023,1 +24521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.892202316,1 +24523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.541964888,1 +24524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.830533716,1 +24518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.815650244,1 +24522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.670855987,1 +24525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.356831346,1 +24527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,8.067435343,1 +24528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.878991642,1 +24526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.089744781,1 +24529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.932680857,1 +24530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.206474569,1 +24532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.73642209,1 +24531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.584124922,1 +24533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.95240953,1 +24534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.284710014,1 +24535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.752731922,1 +24536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.097583761,1 +24537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.492152939,1 +24538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.700682174,1 +24540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.664800179,1 +24542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.655040765,1 +24541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.709496357,1 +24539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.917965781,1 +24543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.452860436,1 +24545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.918861313,1 +24544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.06754089,1 +24546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.200140691,1 +24548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.695524426,1 +24547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.368120335,1 +24549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.218706299,1 +24550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.969709461,1 +24551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.044153447,1 +24552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.465779886,1 +24553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.067867087,1 +24554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.914546664,1 +24556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.645611886,1 +24555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.035211987,1 +24557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.042953416,1 +24558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.682743566,1 +24559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.543074098,1 +24560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.141337249,1 +24561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.965509782,1 +24562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.088830885,1 +24564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.88909016,1 +24563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,8.311539392,1 +24565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.98688937,1 +24566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.150382392,1 +24567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,8.894089333,1 +24568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.914179644,1 +24569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.627814822,1 +24571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.152160093,1 +24570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.387307775,1 +24572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.338582396,1 +24574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.740637228,1 +24576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.76653881,1 +24575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.20139579,1 +24577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.43382904,1 +24573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.6681834,1 +24578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.130938583,1 +24579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.804090434,1 +24580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.41087195,1 +24582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.934045753,1 +24581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.880713995,1 +24583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.713478521,1 +24585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.69731875,1 +24586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.42938672,1 +24584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.689347056,1 +24587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.745779281,1 +24588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.717801636,1 +24589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.108703006,1 +24590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.723967642,1 +24591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.575465636,1 +24592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.274451739,1 +24594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,9.353833466,1 +24595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.61376259,1 +24596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,9.211447822,1 +24593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.994698706,1 +24597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.684514433,1 +24598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.523742147,1 +24600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.748813455,1 +24599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.936936209,1 +24601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.95465506,1 +24603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.855647181,1 +24604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.376738793,1 +24602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.802142975,1 +24605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.512126242,1 +24606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.464715544,1 +24607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.854260358,1 +24608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.092085154,1 +24609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.932450917,1 +24611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.213975398,1 +24612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.192181947,1 +24613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.454867502,1 +24610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.930896405,1 +24614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.885112444,1 +24616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.434752064,1 +24617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.17311608,1 +24618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,9.046617049,1 +24615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.241464239,1 +24619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.80911928,1 +24620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.594496741,1 +24621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.793561233,1 +24623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.29015171,1 +24622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.142894044,1 +24624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.747862533,1 +24625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.009161409,1 +24626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.155025666,1 +24627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.631881046,1 +24629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.594892686,1 +24628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.588986082,1 +24631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.106845695,1 +24630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.507276536,1 +24633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.387769332,1 +24632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.768662427,1 +24635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,8.662734982,1 +24636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,8.289377556,1 +24637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.733506128,1 +24634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.739696875,1 +24638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.201730219,1 +24639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.581691184,1 +24640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.114844327,1 +24641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.327992175,1 +24642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.655391682,1 +24644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.172926917,1 +24643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.79852122,1 +24645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.266301773,1 +24646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.02174243,1 +24648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.051024301,1 +24647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.428085775,1 +24649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,0.744406596,1 +24650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.349593476,1 +24651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.151491681,1 +24652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.410986481,1 +24654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.428928899,1 +24656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.255788269,1 +24655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.911763716,1 +24653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,9.082266263,1 +24657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.858458411,1 +24658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.407572174,1 +24659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.505671361,1 +24661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.948893043,1 +24660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.848570475,1 +24663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.070049006,1 +24662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.342942421,1 +24665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.76308683,1 +24664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.279243066,1 +24666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.353441212,1 +24667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.290010496,1 +24669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.632653523,1 +24670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,0.688110676,1 +24671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.219360888,1 +24672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.196474509,1 +24668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.497619625,1 +24673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.317056514,1 +24674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.185546449,1 +24675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.443019214,1 +24677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.000130995,1 +24676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.644073972,1 +24678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.130426034,1 +24679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.141419072,1 +24680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.251293625,1 +24682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.040115406,1 +24681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.026230813,1 +24683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.308221418,1 +24685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.514081416,1 +24686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.887398827,1 +24684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.668316565,1 +24687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.853264166,1 +24689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.580956168,1 +24691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,0.574928393,1 +24688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.018212705,1 +24690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.088848107,1 +24692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.947598103,1 +24693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.690760684,1 +24694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.442365701,1 +24695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.416229924,1 +24697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.709240839,1 +24696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.282914719,1 +24698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.468075585,1 +24699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.343868423,1 +24700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.287680668,1 +24701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.492588677,1 +24702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.829297668,1 +24703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.581535561,1 +24704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.992194915,1 +24706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.582218901,1 +24705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.581666791,1 +24708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.822307851,1 +24709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.627220469,1 +24707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.475624388,1 +24710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.315454275,1 +24711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.072405162,1 +24712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.740006801,1 +24713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.128688428,1 +24714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.771499401,1 +24716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.028271645,1 +24715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.191428291,1 +24717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.636499426,1 +24718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.917211822,1 +24719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,8.364523897,1 +24720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.633151873,1 +24722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.370108044,1 +24724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.777373273,1 +24721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.836117809,1 +24723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.684643616,1 +24727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.93093801,1 +24725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.326382231,1 +24728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.113539359,1 +24726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.666134095,1 +24730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,0.973776387,1 +24731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,8.734899714,1 +24732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.623745647,1 +24729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.122771711,1 +24734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.208167129,1 +24735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.246919922,1 +24733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.912727216,1 +24736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.82325331,1 +24738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.987147584,1 +24739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.139784265,1 +24740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.640695897,1 +24737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.154306251,1 +24741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.156083399,1 +24742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.741040867,1 +24744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.93274082,1 +24745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.57414001,1 +24746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,8.888318202,1 +24747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.344620504,1 +24748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.458681943,1 +24743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.175137237,1 +24750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,0.873463321,1 +24749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.015025785,1 +24751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.815268777,1 +24754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.558448533,1 +24752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.544262679,1 +24753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.329204378,1 +24756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.499448048,1 +24755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.213943055,1 +24757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.005543846,1 +24758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,9.72006551,1 +24759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.96123092,1 +24760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.814016508,1 +24762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.432255084,1 +24763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.209251171,1 +24764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.360828,1 +24765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.446727548,1 +24767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.324544798,1 +24766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.942963214,1 +24761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.003683678,1 +24769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.923572487,1 +24768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.436106278,1 +24771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.76087524,1 +24770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.989821535,1 +24772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.431778471,1 +24773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.157266015,1 +24774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.907596285,1 +24775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.107927005,1 +24776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.210781263,1 +24777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.206053274,1 +24779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.889188429,1 +24780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.949061941,1 +24781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.199931594,1 +24783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.811212207,1 +24782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.656569853,1 +24778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.009014855,1 +24786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.376026718,1 +24787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.490413148,1 +24784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.93768727,1 +24785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.072500295,1 +24788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.767929905,1 +24789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.195951055,1 +24790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.859219036,1 +24791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.082039845,1 +24792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.052879355,1 +24794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.951181308,1 +24795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.576237496,1 +24796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.774790738,1 +24793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.225448572,1 +24797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.497085318,1 +24798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.688281499,1 +24799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.603824057,1 +24800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.513127237,1 +24801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.326927256,1 +24803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.101372755,1 +24802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.815531022,1 +24804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.798099347,1 +24805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.004265556,1 +24806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.966491175,1 +24807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.296910518,1 +24809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.064599377,1 +24810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.984875427,1 +24811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.919202518,1 +24808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.795181893,1 +24812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.829663919,1 +24813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.565099208,1 +24814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.332882775,1 +24815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.07942037,1 +24816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.601433126,1 +24817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.422277601,1 +24819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,10.36734023,1 +24820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.915118487,1 +24821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.548623025,1 +24818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.22610527,1 +24823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.398708644,1 +24824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.021463283,1 +24822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.024984391,1 +24826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.471481848,1 +24827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.965783719,1 +24825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.159823811,1 +24828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.661282119,1 +24829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.854665304,1 +24830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.552545017,1 +24831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.331651587,1 +24832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.286867799,1 +24834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.231255143,1 +24833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.23614732,1 +24835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.120686592,1 +24836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.067242502,1 +24837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.203562802,1 +24838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.191175464,1 +24840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.010268026,1 +24841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.536262103,1 +24842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.252611582,1 +24839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.144417735,1 +24843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.34452059,1 +24846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.532801916,1 +24844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.476659873,1 +24845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,9.636751968,1 +24847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.427648965,1 +24848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.854273957,1 +24849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.530547031,1 +24850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.738406165,1 +24852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.287860506,1 +24851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.395695856,1 +24853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.09359646,1 +24854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.469565681,1 +24857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.002114669,1 +24856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.878522856,1 +24858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.11694707,1 +24855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.590680875,1 +24860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.326109068,1 +24861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.988267316,1 +24862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.924781002,1 +24859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.236896299,1 +24863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.497212384,1 +24864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.232972394,1 +24865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.992062374,1 +24866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.279199795,1 +24867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.964458928,1 +24868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.31493546,1 +24869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.855785358,1 +24870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.048805161,1 +24871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.151958324,1 +24872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.318971766,1 +24874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.645765013,1 +24876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.127866594,1 +24875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.753545446,1 +24873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.651630504,1 +24877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.937117954,1 +24878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.937885381,1 +24880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.800022956,1 +24879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.430133443,1 +24881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.836792239,1 +24882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.112770273,1 +24883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.485689129,1 +24885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.501998675,1 +24886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.175573241,1 +24884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.709952471,1 +24887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.409482746,1 +24888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.40129439,1 +24889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.215738548,1 +24891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.757243698,1 +24892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.209640083,1 +24890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.845625897,1 +24893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.9588961,1 +24894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.361264001,1 +24895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.352095644,1 +24897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,0.217120357,1 +24896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.073444402,1 +24899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.979715565,1 +24898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.70289546,1 +24900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.158393529,1 +24902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.009048855,1 +24903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.754290498,1 +24904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.908438635,1 +24906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.860866095,1 +24901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.016708751,1 +24905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.878284779,1 +24908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.50928055,1 +24907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.207013972,1 +24910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,8.740180035,1 +24909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.760573266,1 +24911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.950746648,1 +24912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.718695772,1 +24913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.462963693,1 +24914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.435626564,1 +24916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.147376588,1 +24917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.046768228,1 +24918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,8.318399243,1 +24919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.490424078,1 +24920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.378138362,1 +24921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.552630291,1 +24915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.836254963,1 +24923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.868829533,1 +24922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.512405219,1 +24925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.341050855,1 +24924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.777829249,1 +24926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.626446977,1 +24929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.353039441,1 +24927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.44998725,1 +24928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.864714731,1 +24930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.334287497,1 +24931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.48010842,1 +24932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.350338789,1 +24933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.342020587,1 +24934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.532847825,1 +24935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.775952218,1 +24936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.219038023,1 +24938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.14451084,1 +24940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.801618259,1 +24939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.308743765,1 +24937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.981788536,1 +24941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.396854931,1 +24943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.868383357,1 +24942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.33886088,1 +24944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.937835985,1 +24945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.076491953,1 +24947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.61102832,1 +24946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.090916503,1 +24948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.369987317,1 +24949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.988682043,1 +24950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.619161043,1 +24951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.916216812,1 +24952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.625319654,1 +24955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.134302589,1 +24953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,1.416639654,1 +24954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.676295868,1 +24956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.930340063,1 +24958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.399907075,1 +24959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.336560072,1 +24957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.058376855,1 +24960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.668749231,1 +24962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.771097475,1 +24963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.16427029,1 +24961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.822464347,1 +24964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.968769996,1 +24965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.077194905,1 +24967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.209713305,1 +24966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.627705713,1 +24968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.133747053,1 +24969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.92424635,1 +24970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.538791754,1 +24972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.208857506,1 +24973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.220695326,1 +24974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.893853462,1 +24971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.238887162,1 +24975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.11510116,1 +24976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.874441395,1 +24977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.068253452,1 +24980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,8.922988923,1 +24979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.575695479,1 +24981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.583649727,1 +24978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.141856012,1 +24983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,8.908634182,1 +24982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.437819066,1 +24985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.522929849,1 +24984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.085677356,1 +24988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.121942356,1 +24987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,10.64456327,1 +24986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.002287657,1 +24990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,2.681805996,1 +24989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.432223725,1 +24991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.158921485,1 +24992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,7.539417985,1 +24994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,5.029864473,1 +24995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.071684516,1 +24996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.760363306,1 +24997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.258811229,1 +24993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.327690102,1 +24998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,6.040075668,1 +24999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,3.42244004,1 +25000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,5,1,4.121961595,1 +34001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.546648078,0.998 +34002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,9.582994386,0.998 +34004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.828454103,0.998 +34005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.694153208,0.998 +34003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,8.490603696,0.998 +34006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.657678245,0.998 +34007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.977562197,0.998 +34008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.892411419,0.998 +34009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.064036321,0.998 +34010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.430509883,0.998 +34014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.783862145,0.998 +34013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.954394988,0.998 +34011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.910022835,0.998 +34012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.627237519,0.998 +34017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.48840174,0.998 +34015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.910436078,0.998 +34018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.633421242,0.998 +34019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.523411966,0.998 +34020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.795024679,0.998 +34021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.997727789,0.998 +34022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.440840828,0.998 +34016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.663541772,0.998 +34023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.444440171,0.998 +34024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.362273368,0.998 +34027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.853215349,0.998 +34028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.581086931,0.998 +34026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.926370166,0.998 +34025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.155760103,0.998 +34032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.157108175,0.998 +34031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.797316686,0.998 +34029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.030386991,0.998 +34030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.753430128,0.998 +34033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.416651022,0.998 +34034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.003238504,0.998 +34037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.297999631,0.998 +34035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.169300143,0.998 +34036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.773264411,0.998 +34038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.186109536,0.998 +34039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.332190038,0.998 +34040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.718597487,0.998 +34042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.242198667,0.998 +34043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.329792378,0.998 +34041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.740930268,0.998 +34044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,8.485915629,0.998 +34047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.31170334,0.998 +34046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.057652442,0.998 +34048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.397536842,0.998 +34045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.514820546,0.998 +34052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.15427057,0.998 +34051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.97986874,0.998 +34050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.016501411,0.998 +34049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.80102369,0.998 +34053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.751222045,0.998 +34054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.99509272,0.998 +34055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.916050828,0.998 +34057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.139329475,0.998 +34059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.824060847,0.998 +34056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.234175694,0.998 +34060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.776889763,0.998 +34058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.266049666,0.998 +34061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.363036727,0.998 +34063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.244202429,0.998 +34062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.795058087,0.998 +34064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.201825175,0.998 +34065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.920088265,0.998 +34066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.691628017,0.998 +34067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.789031632,0.998 +34069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.684565586,0.998 +34068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.834160517,0.998 +34070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.041125015,0.998 +34071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.62170814,0.998 +34073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.835813215,0.998 +34072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.018079752,0.998 +34074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.884052605,0.998 +34077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.395252553,0.998 +34076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.191394963,0.998 +34075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.504518369,0.998 +34078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.856215979,0.998 +34079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.053264729,0.998 +34080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.340432514,0.998 +34081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.068939997,0.998 +34082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.550658375,0.998 +34083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.45410619,0.998 +34084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.042490257,0.998 +34085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.42247969,0.998 +34087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.324288165,0.998 +34086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.130530175,0.998 +34088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.028410281,0.998 +34089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.652197811,0.998 +34090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.823935701,0.998 +34091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.713243604,0.998 +34092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.257168029,0.998 +34093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.705709939,0.998 +34094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.482627176,0.998 +34095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.509987858,0.998 +34096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.37338455,0.998 +34097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.425336269,0.998 +34098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.334766102,0.998 +34099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.898871146,0.998 +34100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.011482972,0.998 +34102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.860033809,0.998 +34101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.387643158,0.998 +34103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.022453982,0.998 +34104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.785251248,0.998 +34105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.789475387,0.998 +34107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.057371338,0.998 +34108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.360913198,0.998 +34109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.163291889,0.998 +34106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.196260161,0.998 +34110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.279319198,0.998 +34111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.064813041,0.998 +34112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.405097876,0.998 +34114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.684312621,0.998 +34115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.279022083,0.998 +34113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.724190589,0.998 +34116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.983319117,0.998 +34117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.357843007,0.998 +34118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.403779577,0.998 +34120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.988292767,0.998 +34119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.730449768,0.998 +34121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.206476128,0.998 +34122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.669297132,0.998 +34123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.997736542,0.998 +34124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.794870894,0.998 +34126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.878552396,0.998 +34125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.478528145,0.998 +34127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.311811204,0.998 +34129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.241132825,0.998 +34130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.776332286,0.998 +34131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.023558093,0.998 +34128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.981302551,0.998 +34132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.771938739,0.998 +34133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.752784926,0.998 +34134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.731254733,0.998 +34136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.471900856,0.998 +34135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.390738388,0.998 +34137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.091110078,0.998 +34138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.356787323,0.998 +34139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.397306861,0.998 +34141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.994627824,0.998 +34140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.606785517,0.998 +34142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.60521451,0.998 +34144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.139279714,0.998 +34143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.438816366,0.998 +34145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.359129337,0.998 +34146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.34164389,0.998 +34149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.072868348,0.998 +34147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.282370812,0.998 +34150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.640487574,0.998 +34151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.433948123,0.998 +34152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,-0.241120959,0.998 +34148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.295492712,0.998 +34153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.271652876,0.998 +34154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.340647857,0.998 +34155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.505609231,0.998 +34156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.329302017,0.998 +34159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.365302114,0.998 +34158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.949444804,0.998 +34157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.798427373,0.998 +34160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.691331857,0.998 +34162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.377930893,0.998 +34161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.314523195,0.998 +34163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.726959729,0.998 +34167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.253233126,0.998 +34164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.570911344,0.998 +34166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.314193133,0.998 +34165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.783032487,0.998 +34170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,11.1549667,0.998 +34171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.009172205,0.998 +34168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.081688435,0.998 +34169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.22295293,0.998 +34172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.471557255,0.998 +34173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.766038967,0.998 +34174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.184306935,0.998 +34175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.965949959,0.998 +34177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.72113431,0.998 +34176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.745103927,0.998 +34178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.330896187,0.998 +34181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.287945341,0.998 +34179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.244931962,0.998 +34182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.541650078,0.998 +34180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.390638169,0.998 +34184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.456210281,0.998 +34183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.284376103,0.998 +34186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,8.352268205,0.998 +34185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.143492609,0.998 +34187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.341338974,0.998 +34188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.830151574,0.998 +34189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.304616219,0.998 +34192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.989982701,0.998 +34191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.999592045,0.998 +34193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.374732362,0.998 +34190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.982509826,0.998 +34194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.095530545,0.998 +34196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.485821829,0.998 +34195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.153576561,0.998 +34197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.698850948,0.998 +34198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,9.721461008,0.998 +34199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.753802245,0.998 +34201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.970113788,0.998 +34200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.259354605,0.998 +34202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,9.591091664,0.998 +34203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.837878155,0.998 +34205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.742467016,0.998 +34206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.654331225,0.998 +34207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.618264936,0.998 +34204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.750125993,0.998 +34209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.417245931,0.998 +34210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.97101028,0.998 +34208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.095308538,0.998 +34211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.3100658,0.998 +34212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.186640489,0.998 +34214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.059820698,0.998 +34215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.331565396,0.998 +34213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.357095556,0.998 +34216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.004566365,0.998 +34218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.644409594,0.998 +34217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.346557585,0.998 +34219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.023155227,0.998 +34220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.867556913,0.998 +34221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.230442414,0.998 +34223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.227579395,0.998 +34222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.010713773,0.998 +34224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.572810382,0.998 +34226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.683402771,0.998 +34227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.956895026,0.998 +34225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.681219768,0.998 +34228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.217985555,0.998 +34229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.549896206,0.998 +34232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.023515114,0.998 +34231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.590287703,0.998 +34233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.880016024,0.998 +34234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.594900432,0.998 +34235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.452777828,0.998 +34230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.640614605,0.998 +34236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.438799742,0.998 +34237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.926564609,0.998 +34238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,9.268674459,0.998 +34240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.800750627,0.998 +34241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.555232874,0.998 +34239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.960273426,0.998 +34242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.312764631,0.998 +34245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.183257884,0.998 +34243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.819298831,0.998 +34246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.920672647,0.998 +34244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.667183835,0.998 +34247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.960565651,0.998 +34248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.288361941,0.998 +34249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.549912866,0.998 +34250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,8.940832989,0.998 +34252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.728993464,0.998 +34253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.087726983,0.998 +34254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.082086209,0.998 +34255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.26495913,0.998 +34256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.955976352,0.998 +34257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.863329696,0.998 +34251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.855355428,0.998 +34258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.844515417,0.998 +34261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.41553714,0.998 +34259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.773070173,0.998 +34260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.833795367,0.998 +34263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.010956513,0.998 +34262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.313813112,0.998 +34264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.59008386,0.998 +34265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.425729242,0.998 +34266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.159944985,0.998 +34267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.932235438,0.998 +34268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.046432531,0.998 +34269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.924212469,0.998 +34271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.210246196,0.998 +34273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,8.662564052,0.998 +34272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.574048265,0.998 +34270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.412943045,0.998 +34274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.462471157,0.998 +34275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.423111485,0.998 +34276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.321014115,0.998 +34278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.582539557,0.998 +34277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.451214261,0.998 +34279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.421480083,0.998 +34280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.122408835,0.998 +34281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,8.667264374,0.998 +34282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.454292847,0.998 +34283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.558994468,0.998 +34284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.584513883,0.998 +34285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.208913368,0.998 +34286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.542876232,0.998 +34288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.590209618,0.998 +34287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.918026626,0.998 +34289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.797779052,0.998 +34292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.695807047,0.998 +34291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.038771631,0.998 +34290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.924192434,0.998 +34293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.471487954,0.998 +34294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.747889958,0.998 +34295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.722002087,0.998 +34296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.088786564,0.998 +34297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.212568782,0.998 +34299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.168993655,0.998 +34298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.859199646,0.998 +34300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.698301646,0.998 +34301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.224839941,0.998 +34303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.909795067,0.998 +34302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.857689443,0.998 +34305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.264485422,0.998 +34304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.576436826,0.998 +34307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.063788697,0.998 +34306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.802776402,0.998 +34308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.940719025,0.998 +34310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.489712541,0.998 +34311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.025788712,0.998 +34312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.137363862,0.998 +34309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.07427174,0.998 +34313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.423879298,0.998 +34314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.955322152,0.998 +34315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.98981699,0.998 +34317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.429841818,0.998 +34318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.059631713,0.998 +34316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.861483169,0.998 +34319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.329909794,0.998 +34321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.357553328,0.998 +34320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.157008987,0.998 +34322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.049670932,0.998 +34323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.084527999,0.998 +34324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.641562351,0.998 +34325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.947971934,0.998 +34326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.322867287,0.998 +34327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,0.866461082,0.998 +34328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.578505593,0.998 +34329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.333422649,0.998 +34331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.963910004,0.998 +34333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.654857037,0.998 +34332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.92292167,0.998 +34334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.133352587,0.998 +34335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.754597474,0.998 +34336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.496419284,0.998 +34330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.284584959,0.998 +34339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,0.685173318,0.998 +34337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.933621897,0.998 +34338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.73381319,0.998 +34340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,8.318865249,0.998 +34342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.507348752,0.998 +34341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.306075645,0.998 +34343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.168580332,0.998 +34344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.495001238,0.998 +34345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.957532151,0.998 +34346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.656726016,0.998 +34347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.650373207,0.998 +34349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.445961826,0.998 +34350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.467498456,0.998 +34351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.852831022,0.998 +34348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.132749387,0.998 +34352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.897878954,0.998 +34353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.596278427,0.998 +34354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.927944315,0.998 +34355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.795804056,0.998 +34356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.520992615,0.998 +34358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.009836934,0.998 +34357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.020273998,0.998 +34359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.911199313,0.998 +34360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.159939392,0.998 +34361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.482414819,0.998 +34362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.024398913,0.998 +34364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.861254687,0.998 +34365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.475159546,0.998 +34366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.812709637,0.998 +34363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.071590109,0.998 +34367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.302008506,0.998 +34369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.417608462,0.998 +34368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.629579582,0.998 +34370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.092474133,0.998 +34371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,8.565438907,0.998 +34372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.953709599,0.998 +34373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.499451795,0.998 +34374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.781834116,0.998 +34376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.689474613,0.998 +34377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.322511462,0.998 +34375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.200344979,0.998 +34378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.339482575,0.998 +34380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.873920614,0.998 +34379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.228827025,0.998 +34381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.515330243,0.998 +34383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.064666782,0.998 +34382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.558342565,0.998 +34384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.484504367,0.998 +34385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.208077004,0.998 +34387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.737422028,0.998 +34386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.265583672,0.998 +34388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.132765072,0.998 +34390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.349148491,0.998 +34391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.906647024,0.998 +34392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.366291035,0.998 +34393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,8.199641096,0.998 +34394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.401684673,0.998 +34395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.732558344,0.998 +34389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.067918291,0.998 +34398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.823963626,0.998 +34396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.566412656,0.998 +34397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.640860805,0.998 +34399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.595005108,0.998 +34400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.287284856,0.998 +34401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.018377039,0.998 +34402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,8.011917532,0.998 +34403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.222758591,0.998 +34404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.185007182,0.998 +34405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.621069539,0.998 +34406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.155400543,0.998 +34409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.389994924,0.998 +34408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.744895986,0.998 +34410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.69301554,0.998 +34411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.938027515,0.998 +34407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.216197106,0.998 +34413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.705564129,0.998 +34412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.250555972,0.998 +34414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.104986368,0.998 +34415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.178011148,0.998 +34416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.454950275,0.998 +34417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.323986733,0.998 +34418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.220107048,0.998 +34419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.032033987,0.998 +34420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.034782045,0.998 +34421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.701800204,0.998 +34422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.416524297,0.998 +34423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.353264054,0.998 +34424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,8.321672323,0.998 +34425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.199158391,0.998 +34428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.522434803,0.998 +34427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.258748349,0.998 +34429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.616028079,0.998 +34426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,8.300525389,0.998 +34431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,9.645861555,0.998 +34430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.203568017,0.998 +34432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.55493209,0.998 +34434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.681438766,0.998 +34433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.713278719,0.998 +34435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.824870207,0.998 +34436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.848208218,0.998 +34437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.437449994,0.998 +34438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.026802342,0.998 +34439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.191690093,0.998 +34440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.129171003,0.998 +34441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.571375353,0.998 +34443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.221017536,0.998 +34442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.764500522,0.998 +34444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.592248843,0.998 +34446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.618234604,0.998 +34445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.759608188,0.998 +34448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.987545065,0.998 +34447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.290090878,0.998 +34449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.282113689,0.998 +34450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.245588578,0.998 +34451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.835512179,0.998 +34452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.748566288,0.998 +34453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.660560196,0.998 +34454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.135048034,0.998 +34455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.617457204,0.998 +34457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,9.568953168,0.998 +34458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.470793462,0.998 +34456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.210804287,0.998 +34459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.089604542,0.998 +34460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.010272996,0.998 +34461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.119275869,0.998 +34462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.583607378,0.998 +34463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.676771958,0.998 +34464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.629042252,0.998 +34465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.321553905,0.998 +34467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.144333937,0.998 +34466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.63384434,0.998 +34468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.448372979,0.998 +34469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.711080703,0.998 +34470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.627319487,0.998 +34472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.196748214,0.998 +34471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.244239006,0.998 +34473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.997887116,0.998 +34474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.797088991,0.998 +34475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.888223596,0.998 +34477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.164423819,0.998 +34479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.671063559,0.998 +34478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.871208473,0.998 +34480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.19998013,0.998 +34476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.356444059,0.998 +34482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.429942351,0.998 +34481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.19255944,0.998 +34483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.696404665,0.998 +34485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.490028215,0.998 +34486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.696215442,0.998 +34487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.908286094,0.998 +34484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.507958564,0.998 +34491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.42810162,0.998 +34488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.007045963,0.998 +34490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.128252825,0.998 +34489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.103412487,0.998 +34493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.734560367,0.998 +34492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.296011608,0.998 +34495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.187269988,0.998 +34494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.641546468,0.998 +34496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.80053473,0.998 +34498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.255335032,0.998 +34499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.199537266,0.998 +34497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.340155849,0.998 +34500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.179070447,0.998 +34502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.032667596,0.998 +34501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.11914809,0.998 +34506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.863923328,0.998 +34504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.48149798,0.998 +34505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.037600136,0.998 +34503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.959606979,0.998 +34508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.062813054,0.998 +34509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.635675805,0.998 +34507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.693844264,0.998 +34510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.809980399,0.998 +34511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.394473886,0.998 +34512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.368236889,0.998 +34513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.953691487,0.998 +34515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.303702504,0.998 +34514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.586757132,0.998 +34517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.759955556,0.998 +34516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.526671582,0.998 +34518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.253834119,0.998 +34520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.982244662,0.998 +34521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,11.79893173,0.998 +34519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.070999682,0.998 +34522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.877383959,0.998 +34523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.650143157,0.998 +34524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.300270705,0.998 +34525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.526512883,0.998 +34526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.047968235,0.998 +34527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.103990579,0.998 +34528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.329179723,0.998 +34531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.312542304,0.998 +34530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.221817344,0.998 +34532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.107669105,0.998 +34529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.068614542,0.998 +34534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,8.322306216,0.998 +34533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.309245791,0.998 +34535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.287278287,0.998 +34537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.445372819,0.998 +34538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.019637531,0.998 +34536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.437769411,0.998 +34539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.948425833,0.998 +34540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.420000384,0.998 +34542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.852874576,0.998 +34541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.740871518,0.998 +34543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,8.191059919,0.998 +34544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.960585068,0.998 +34546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.439888157,0.998 +34547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.147210309,0.998 +34545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.647808651,0.998 +34548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.981847244,0.998 +34549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.73551896,0.998 +34551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.903815402,0.998 +34550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.177963148,0.998 +34553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.054320325,0.998 +34554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.950639202,0.998 +34552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.209750973,0.998 +34555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.443693621,0.998 +34556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.166715591,0.998 +34558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.749744902,0.998 +34559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.255983378,0.998 +34557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.479429487,0.998 +34561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.944773971,0.998 +34560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.020855945,0.998 +34562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.291279809,0.998 +34563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.432865904,0.998 +34564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.606778823,0.998 +34565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.32942954,0.998 +34567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.166975116,0.998 +34566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.711440227,0.998 +34568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.962979811,0.998 +34571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.513617669,0.998 +34569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.683763981,0.998 +34572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.898262051,0.998 +34570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.328980759,0.998 +34573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.203360513,0.998 +34575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.737043575,0.998 +34574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.333422178,0.998 +34576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.315128743,0.998 +34577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.573692016,0.998 +34578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.268113554,0.998 +34580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.196104038,0.998 +34579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.048073521,0.998 +34581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,8.438551521,0.998 +34582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.060726343,0.998 +34584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.687711416,0.998 +34583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.495407388,0.998 +34585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.41054293,0.998 +34586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.106201898,0.998 +34588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.203381451,0.998 +34589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.19310855,0.998 +34590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.172154343,0.998 +34587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.270099468,0.998 +34591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.745895385,0.998 +34592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.564435944,0.998 +34593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.71214697,0.998 +34595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.171652058,0.998 +34594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.53802797,0.998 +34596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.303014299,0.998 +34597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.774636413,0.998 +34599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.148706791,0.998 +34598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.372316133,0.998 +34600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.797861198,0.998 +34601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.86151749,0.998 +34602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,0.861430181,0.998 +34604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.728056554,0.998 +34603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.685052493,0.998 +34606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.00730146,0.998 +34605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.414948725,0.998 +34607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.219672348,0.998 +34608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.269124152,0.998 +34609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.404918997,0.998 +34611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.969998531,0.998 +34612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.664231475,0.998 +34610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.178766379,0.998 +34613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.484352902,0.998 +34616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.483913242,0.998 +34614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.045868749,0.998 +34615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.585895039,0.998 +34617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.203874692,0.998 +34618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.914565118,0.998 +34619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.194783875,0.998 +34620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.565947395,0.998 +34621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.541822659,0.998 +34622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.63676278,0.998 +34623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.668606044,0.998 +34624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.32906698,0.998 +34625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.685440693,0.998 +34627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.366997541,0.998 +34628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.392490802,0.998 +34626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.971812777,0.998 +34629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.276252855,0.998 +34630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.076905213,0.998 +34631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.491706538,0.998 +34632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.078480814,0.998 +34633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.077511273,0.998 +34634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.754776747,0.998 +34635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.090773338,0.998 +34636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.564608879,0.998 +34637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.060602082,0.998 +34638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.045556807,0.998 +34640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.944164148,0.998 +34639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.018663282,0.998 +34641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.046203547,0.998 +34642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.491526535,0.998 +34643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.668744163,0.998 +34645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.377160554,0.998 +34646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.419053494,0.998 +34647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.089648738,0.998 +34648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.128583473,0.998 +34644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.935750239,0.998 +34649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.787802344,0.998 +34650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.374515206,0.998 +34651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.728758751,0.998 +34653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.592354321,0.998 +34654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.501063278,0.998 +34655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.793904995,0.998 +34656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.951530352,0.998 +34652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,8.190778624,0.998 +34657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.061551674,0.998 +34660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.796831701,0.998 +34659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.735185648,0.998 +34658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.145439568,0.998 +34661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.079591053,0.998 +34662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.51885691,0.998 +34663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.855287452,0.998 +34664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.725720774,0.998 +34665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.188413758,0.998 +34667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.930263482,0.998 +34668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.180732771,0.998 +34669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.548192787,0.998 +34670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.336825567,0.998 +34671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.957238491,0.998 +34666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.055039639,0.998 +34672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.903701974,0.998 +34674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.16994277,0.998 +34675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.435539269,0.998 +34673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.079863989,0.998 +34676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.662177869,0.998 +34677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.001701054,0.998 +34679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.823755938,0.998 +34678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.555771184,0.998 +34680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.887574729,0.998 +34682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.576727268,0.998 +34681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.807106532,0.998 +34684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.438017295,0.998 +34685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.529483044,0.998 +34686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.920240016,0.998 +34687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.347419838,0.998 +34683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.221752229,0.998 +34689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.065005412,0.998 +34688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.033939202,0.998 +34690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.187618542,0.998 +34691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.602089915,0.998 +34692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.144526468,0.998 +34693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.306041683,0.998 +34694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.883660531,0.998 +34695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.380230648,0.998 +34696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.150368727,0.998 +34698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.796504355,0.998 +34697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.214667679,0.998 +34699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.118660176,0.998 +34700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.259012682,0.998 +34701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.511973817,0.998 +34702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.543815878,0.998 +34704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.520802428,0.998 +34703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.253045236,0.998 +34705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.165440555,0.998 +34706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.370345784,0.998 +34708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.855373831,0.998 +34707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.39806915,0.998 +34709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.0146881,0.998 +34710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.496836989,0.998 +34711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.407040037,0.998 +34712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.687740291,0.998 +34713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.609576228,0.998 +34714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.141873783,0.998 +34715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.138275746,0.998 +34717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.935386145,0.998 +34716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.635223037,0.998 +34718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.883590778,0.998 +34720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.273974185,0.998 +34719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.392094636,0.998 +34722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.70102037,0.998 +34721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.681068331,0.998 +34723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.309891556,0.998 +34724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.12160221,0.998 +34726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.09996455,0.998 +34725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.601015685,0.998 +34727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.515608593,0.998 +34729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.509330844,0.998 +34730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.716863796,0.998 +34728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.454909396,0.998 +34731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.124115022,0.998 +34732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.174661835,0.998 +34733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.767745767,0.998 +34734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.297786042,0.998 +34735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.612338717,0.998 +34737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.734441823,0.998 +34736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.207078167,0.998 +34739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.030129353,0.998 +34740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.764496641,0.998 +34738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.910856013,0.998 +34741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.577064294,0.998 +34742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.274194717,0.998 +34745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.858639069,0.998 +34744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.600183786,0.998 +34743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.250512915,0.998 +34746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,9.639020283,0.998 +34747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.447064214,0.998 +34748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.838715342,0.998 +34749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.938766286,0.998 +34750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.86115526,0.998 +34751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.083166866,0.998 +34752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.753661402,0.998 +34753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.731682684,0.998 +34754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.127377832,0.998 +34755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.175780668,0.998 +34756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.02135667,0.998 +34757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.345262192,0.998 +34759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.350876401,0.998 +34760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.613000007,0.998 +34761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.164566732,0.998 +34762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.158776046,0.998 +34763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.767199281,0.998 +34758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.544825172,0.998 +34764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.140661417,0.998 +34765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.350963975,0.998 +34766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.252479329,0.998 +34767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.298841461,0.998 +34768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,10.50703079,0.998 +34769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.342113007,0.998 +34770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.913337494,0.998 +34772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,-0.068942522,0.998 +34771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.799397607,0.998 +34773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.371914154,0.998 +34774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.603071441,0.998 +34775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.462578873,0.998 +34777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.233752487,0.998 +34778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.402312032,0.998 +34779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.452361981,0.998 +34776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.56837286,0.998 +34780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.184254918,0.998 +34781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.964793006,0.998 +34783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.577639833,0.998 +34782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.570475986,0.998 +34784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.446369594,0.998 +34785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.880615992,0.998 +34786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.350982626,0.998 +34787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.734573138,0.998 +34788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.298531495,0.998 +34789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.304176932,0.998 +34790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.37118003,0.998 +34791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.019099268,0.998 +34792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.79847685,0.998 +34793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.798839422,0.998 +34795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.587467522,0.998 +34796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.334384029,0.998 +34797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.358373097,0.998 +34798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.360817696,0.998 +34794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.734383905,0.998 +34799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.899996186,0.998 +34800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.160426309,0.998 +34801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.837516209,0.998 +34802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.004061324,0.998 +34803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.138472053,0.998 +34804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.050927173,0.998 +34806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.65063601,0.998 +34805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.069451212,0.998 +34807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,8.567854969,0.998 +34808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.473102318,0.998 +34809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.474527974,0.998 +34810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.745212843,0.998 +34811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.742117961,0.998 +34812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.782003328,0.998 +34813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.393629733,0.998 +34814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.025279363,0.998 +34816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.30203624,0.998 +34817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.480960701,0.998 +34815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.649842353,0.998 +34818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.207243617,0.998 +34819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.45723225,0.998 +34820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.048422232,0.998 +34822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.586925206,0.998 +34821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.482365927,0.998 +34823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.829472152,0.998 +34824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.983352558,0.998 +34826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.897732941,0.998 +34827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.714021545,0.998 +34828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,8.850895157,0.998 +34825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.069121841,0.998 +34829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.799828374,0.998 +34830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.404607571,0.998 +34831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.071661247,0.998 +34832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.196936316,0.998 +34834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.329041649,0.998 +34835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.902072589,0.998 +34836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,9.628790362,0.998 +34833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.916850783,0.998 +34837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.657101147,0.998 +34838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.52945791,0.998 +34839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.817685252,0.998 +34840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.750438276,0.998 +34841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.135958509,0.998 +34842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.324611124,0.998 +34844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.730646284,0.998 +34845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.820919953,0.998 +34843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.394929141,0.998 +34846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.026613507,0.998 +34847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.933758735,0.998 +34848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.139492101,0.998 +34849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.558872448,0.998 +34850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.463949351,0.998 +34852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.141409061,0.998 +34853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.708067481,0.998 +34854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.499534638,0.998 +34855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.124463934,0.998 +34851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.645645751,0.998 +34856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.09351548,0.998 +34857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.75984016,0.998 +34859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.368151792,0.998 +34858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.778093165,0.998 +34860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.892742611,0.998 +34861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.002165667,0.998 +34862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.241895908,0.998 +34863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.528653906,0.998 +34864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.566908672,0.998 +34865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.47340215,0.998 +34866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.452336132,0.998 +34867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.760850909,0.998 +34869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.133646449,0.998 +34868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.454084507,0.998 +34871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.796994991,0.998 +34872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.64213813,0.998 +34870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.081777793,0.998 +34873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.539299722,0.998 +34874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.249103125,0.998 +34876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.191692313,0.998 +34875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.792689723,0.998 +34877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.418838824,0.998 +34878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.562536837,0.998 +34879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.047905883,0.998 +34881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.441937287,0.998 +34882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.597182196,0.998 +34883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.50145245,0.998 +34880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.594073916,0.998 +34885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.921847962,0.998 +34884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,9.110236051,0.998 +34886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.085844418,0.998 +34887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.503109942,0.998 +34891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,8.776964807,0.998 +34889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.253929467,0.998 +34890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.179807891,0.998 +34888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.135204788,0.998 +34893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.300133337,0.998 +34894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,8.410191011,0.998 +34895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.292246521,0.998 +34896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.901097821,0.998 +34897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.719679872,0.998 +34898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.901921265,0.998 +34899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.174702469,0.998 +34892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.714925702,0.998 +34901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.768480468,0.998 +34900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.270462845,0.998 +34903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.570925316,0.998 +34902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.673137058,0.998 +34904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.100604012,0.998 +34905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.864594566,0.998 +34906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.784204885,0.998 +34908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.954112951,0.998 +34907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.618159013,0.998 +34909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.44911684,0.998 +34910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.425583981,0.998 +34911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.294032554,0.998 +34912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.931293705,0.998 +34913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.256157115,0.998 +34915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.716524909,0.998 +34916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.150051999,0.998 +34918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.782483254,0.998 +34914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.202165321,0.998 +34917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.077245612,0.998 +34920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.904139152,0.998 +34919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.352355374,0.998 +34921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.8019489,0.998 +34922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.325285489,0.998 +34923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.536624487,0.998 +34924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.206488045,0.998 +34925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.860296224,0.998 +34926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.551765087,0.998 +34927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.870910979,0.998 +34928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.601368917,0.998 +34929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.020685883,0.998 +34930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.246175216,0.998 +34933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.896469488,0.998 +34932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.916255596,0.998 +34934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,10.02214593,0.998 +34931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.29789138,0.998 +34936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.695017413,0.998 +34935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.694666306,0.998 +34937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,8.963455304,0.998 +34938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,10.80740645,0.998 +34939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.020051785,0.998 +34940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.804847084,0.998 +34941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.746705808,0.998 +34942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.018944048,0.998 +34944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.252052153,0.998 +34943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.758547463,0.998 +34945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.568345557,0.998 +34947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.51386938,0.998 +34948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,7.104685163,0.998 +34949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.086354175,0.998 +34946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.666242039,0.998 +34950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.324356389,0.998 +34951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.209823731,0.998 +34952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.702314457,0.998 +34953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.648186076,0.998 +34954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.165719461,0.998 +34956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.50136837,0.998 +34955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.64971877,0.998 +34957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.107828076,0.998 +34958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.032480972,0.998 +34959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.935149336,0.998 +34960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.756533905,0.998 +34962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.391314121,0.998 +34963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.515748001,0.998 +34961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.500027083,0.998 +34964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.902878924,0.998 +34965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.874119049,0.998 +34966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,8.241153423,0.998 +34967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.792724869,0.998 +34969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.806662363,0.998 +34970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.709892312,0.998 +34971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.143974343,0.998 +34968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.933672763,0.998 +34972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.877905078,0.998 +34973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.618717769,0.998 +34974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.486815156,0.998 +34976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.248318652,0.998 +34977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.694764815,0.998 +34975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.293404699,0.998 +34978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.877674557,0.998 +34980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.903200411,0.998 +34979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.170636144,0.998 +34981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.254720477,0.998 +34984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.83161484,0.998 +34983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.380140161,0.998 +34985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.008259586,0.998 +34982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.232225027,0.998 +34986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.291805338,0.998 +34987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.311377424,0.998 +34989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.045831318,0.998 +34990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.9665507,0.998 +34991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,6.191546384,0.998 +34993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,5.130384824,0.998 +34992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.334256502,0.998 +34994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,1.986563001,0.998 +34988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.841438637,0.998 +34998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.995620619,0.998 +34996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.700877527,0.998 +34997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,4.038481136,0.998 +34995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.981923674,0.998 +34999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,3.509944504,0.998 +35000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,5,1,2.687906108,0.998 +44002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.904260485,1 +44001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.520713922,1 +44003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.669340424,1 +44004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.394092396,1 +44005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.898172967,1 +44006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.789917312,1 +44007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.462136988,1 +44008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.994644672,1 +44009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.022769462,1 +44010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.678113719,1 +44011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.549940441,1 +44013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.412964605,1 +44012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.018877048,1 +44015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.741535451,1 +44014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.617862801,1 +44016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.488264034,1 +44018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.751362438,1 +44020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.494440793,1 +44017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.775608017,1 +44019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.839766732,1 +44021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.94235509,1 +44022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.2572924,1 +44024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.103291385,1 +44023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.360882552,1 +44025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.686502108,1 +44027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.860840453,1 +44028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.962167028,1 +44026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.514081235,1 +44029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.950383214,1 +44032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.516854913,1 +44030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.845208885,1 +44033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.257333331,1 +44031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.736728713,1 +44034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.365154589,1 +44035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.530137106,1 +44036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.55299197,1 +44038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.986373833,1 +44037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.291571198,1 +44039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,1.486050525,1 +44040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.513639528,1 +44042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,1.207684626,1 +44041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.689319506,1 +44044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.159071705,1 +44043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.36724062,1 +44045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.233694258,1 +44046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.185210102,1 +44047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.462778211,1 +44048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.980464936,1 +44050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.016832783,1 +44051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.706377117,1 +44049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.410780232,1 +44052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.885370132,1 +44053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.190702467,1 +44054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.462043215,1 +44056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.103559216,1 +44055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.061199686,1 +44057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.971790216,1 +44060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.982227608,1 +44058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.478874404,1 +44059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.49940686,1 +44061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.813237922,1 +44062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.002824011,1 +44063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.608895568,1 +44064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.389474843,1 +44065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.219355827,1 +44067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,1.890318157,1 +44068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.988509262,1 +44069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.703615213,1 +44066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.121411444,1 +44070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.793900319,1 +44073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.28455305,1 +44071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.197430361,1 +44072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.209935645,1 +44074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.390416405,1 +44075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,1.883187775,1 +44076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.426653554,1 +44077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.557627695,1 +44078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.275273716,1 +44079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.839873141,1 +44080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.32439349,1 +44081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.236002232,1 +44082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.188259818,1 +44084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.625774407,1 +44085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.871919936,1 +44086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.234023125,1 +44083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.041331335,1 +44088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.989433314,1 +44089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.284133345,1 +44090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,1.709608114,1 +44091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.101906023,1 +44092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.085249137,1 +44093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.114867024,1 +44087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.85610734,1 +44094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.575457316,1 +44095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.95111392,1 +44096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.27564968,1 +44098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.777175881,1 +44099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.936562187,1 +44100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.661783613,1 +44097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.293159362,1 +44101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.078958633,1 +44103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.776127602,1 +44104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.339551558,1 +44102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.019045868,1 +44105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.846335588,1 +44106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.91292193,1 +44108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.226603392,1 +44107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,8.174044406,1 +44109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.786559272,1 +44111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.031541303,1 +44110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.486684527,1 +44113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.508541982,1 +44115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.038772982,1 +44114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,1.809892777,1 +44116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.469454581,1 +44112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.751804446,1 +44117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.331272045,1 +44118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.105419747,1 +44119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.558555529,1 +44120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.638026749,1 +44121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.644897187,1 +44122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,8.540740453,1 +44123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.150659647,1 +44124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.350987949,1 +44125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.974134094,1 +44126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.304863979,1 +44127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.731171737,1 +44129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.704206009,1 +44131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.695575422,1 +44130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.895544825,1 +44128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.209920144,1 +44133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.692732923,1 +44134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.288147225,1 +44132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.141406691,1 +44135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.06250333,1 +44136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.839140993,1 +44137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.934368814,1 +44138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.282612634,1 +44139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.260495106,1 +44140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.866317385,1 +44141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.120871256,1 +44142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.097440006,1 +44143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,9.846511248,1 +44144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.036582327,1 +44145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.726648094,1 +44146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.552853439,1 +44149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.984039767,1 +44147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.781624599,1 +44148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.735437477,1 +44150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.956372216,1 +44151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.475137599,1 +44152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.63247126,1 +44153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.827369158,1 +44154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.501236897,1 +44155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.922219739,1 +44156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.451328999,1 +44157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.601699145,1 +44158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.755448435,1 +44159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.116701689,1 +44161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.43724742,1 +44162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.62606746,1 +44160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.276386443,1 +44163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.75957184,1 +44165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.927455244,1 +44164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.281202013,1 +44166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,1.857944863,1 +44167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.137615256,1 +44168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.404496507,1 +44169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.496965466,1 +44170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.148269741,1 +44171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.580082503,1 +44173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.646678516,1 +44172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.400025886,1 +44175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.588930005,1 +44176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.518146707,1 +44174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.35806694,1 +44177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.348564936,1 +44178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.182189659,1 +44180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.406869266,1 +44179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.607178859,1 +44181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.34918699,1 +44182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.244027123,1 +44184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.697304814,1 +44185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.306966973,1 +44186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.676655991,1 +44187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.567337389,1 +44188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.402132577,1 +44189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.020908257,1 +44183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.684546121,1 +44190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.98373604,1 +44191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.232171095,1 +44192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.851840839,1 +44194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.503186971,1 +44195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.0156217,1 +44193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.953150779,1 +44196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.341590174,1 +44197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,9.403055026,1 +44198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.50725749,1 +44199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.077708894,1 +44200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.501176394,1 +44201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.598901911,1 +44202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.651175703,1 +44204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.326434253,1 +44205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.183508246,1 +44206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.411827093,1 +44207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.721559947,1 +44208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.451458862,1 +44203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.664494035,1 +44210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.197581058,1 +44209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.369951088,1 +44211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.650339146,1 +44212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.317655423,1 +44213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.200917488,1 +44214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.644128157,1 +44215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.540798405,1 +44216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.860587996,1 +44218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.717479006,1 +44217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,8.436296411,1 +44219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.565534161,1 +44220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.905345655,1 +44221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.506932911,1 +44222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.252562249,1 +44223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.237787765,1 +44225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.411102294,1 +44226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.840973711,1 +44227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.226217058,1 +44224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.75928569,1 +44228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.010654442,1 +44229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.437405675,1 +44230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.660353998,1 +44231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.021435112,1 +44233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.837414619,1 +44232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.992003752,1 +44234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.081445529,1 +44235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.810986296,1 +44236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.753079434,1 +44237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.2580406,1 +44239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.738319429,1 +44238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.232262826,1 +44240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.494447594,1 +44241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.448332666,1 +44242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.763308459,1 +44245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.0537033,1 +44244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,1.962816055,1 +44243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.492046357,1 +44246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.119090816,1 +44247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.886888837,1 +44248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.371928171,1 +44250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.018217731,1 +44251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.878803131,1 +44249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.987106334,1 +44252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.605330066,1 +44254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.07657922,1 +44253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.350182239,1 +44256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.540619034,1 +44255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.102587254,1 +44260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.834553064,1 +44257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.53385688,1 +44258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.65594258,1 +44259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,9.120233135,1 +44261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.067765653,1 +44262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.95359,1 +44264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.689280999,1 +44263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.197014389,1 +44266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.558196764,1 +44267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.510315159,1 +44265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.439006736,1 +44268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.696418387,1 +44269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.363412038,1 +44270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.18859817,1 +44272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.527559864,1 +44271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.107371733,1 +44273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.980161081,1 +44274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.906342721,1 +44276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.195681805,1 +44277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.385703147,1 +44278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.35262598,1 +44279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.984664316,1 +44275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.434469867,1 +44280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.870992163,1 +44281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.507306232,1 +44284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.335946968,1 +44285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.352307018,1 +44283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.880350778,1 +44282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.181848059,1 +44286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.528447924,1 +44288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.596504817,1 +44287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,1.518495226,1 +44289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.243260936,1 +44290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.188139182,1 +44293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.783930831,1 +44292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.557420764,1 +44294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.421737716,1 +44295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.30759341,1 +44296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.862553306,1 +44291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.266497386,1 +44297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.760511402,1 +44299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.082982377,1 +44300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.933850779,1 +44298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.609185647,1 +44301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.547475654,1 +44303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.844909907,1 +44302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.077806653,1 +44304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.181038979,1 +44305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.540538728,1 +44306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.248004792,1 +44308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.999375896,1 +44307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.771481628,1 +44309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.856646278,1 +44311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.164377944,1 +44310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.170180751,1 +44312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.016011386,1 +44315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,1.74359763,1 +44316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.36980157,1 +44313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,10.57311427,1 +44314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.588264503,1 +44317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.821366719,1 +44319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.717461323,1 +44320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.239829059,1 +44318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.451353932,1 +44321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.526824388,1 +44323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.084975316,1 +44324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.677318313,1 +44322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.47450104,1 +44325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.743102595,1 +44326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.43089674,1 +44327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.093177657,1 +44328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.410054033,1 +44329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.532965537,1 +44330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.672173223,1 +44331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.602299865,1 +44333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.893227318,1 +44332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.067749304,1 +44335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.49355349,1 +44334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.863582679,1 +44336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.902658623,1 +44337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.724304177,1 +44338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.292531582,1 +44339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.271177082,1 +44340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.273677488,1 +44343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.509145783,1 +44342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.368538891,1 +44341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.762768886,1 +44344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.219062894,1 +44345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.89861542,1 +44346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.050895888,1 +44347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.384086582,1 +44348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.585396144,1 +44349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.330593444,1 +44350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,1.926225678,1 +44351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.935072571,1 +44352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.794593318,1 +44353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.515280513,1 +44354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.220559086,1 +44355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.15443349,1 +44356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.725140571,1 +44357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.204061234,1 +44358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.432454926,1 +44359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.377691293,1 +44360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.115879593,1 +44361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.303590518,1 +44362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.293221304,1 +44364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.137238517,1 +44365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.444583185,1 +44363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.607474195,1 +44366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.489980336,1 +44367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.933458549,1 +44368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.500560166,1 +44369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.17962932,1 +44370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,1.283200687,1 +44371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.477815251,1 +44372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.48188832,1 +44373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.262520453,1 +44374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.915102398,1 +44375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.686426788,1 +44376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.726483307,1 +44377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.720975421,1 +44378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.114628733,1 +44379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.499202757,1 +44380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.112773996,1 +44381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,1.786349041,1 +44384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.055637953,1 +44382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.856888062,1 +44383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.43251883,1 +44385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.397629285,1 +44386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.317570566,1 +44387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.038163736,1 +44391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.076434827,1 +44388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.078420367,1 +44389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.922688286,1 +44390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.51912312,1 +44392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.850229357,1 +44394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.663211478,1 +44393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.732793502,1 +44395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.555571353,1 +44397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,9.682357078,1 +44398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.359357435,1 +44399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.666401909,1 +44396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.286245101,1 +44400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.901393143,1 +44401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.279504292,1 +44402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.878248692,1 +44403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,8.917833098,1 +44404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.420206072,1 +44405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.694287639,1 +44406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.689618026,1 +44407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.098279878,1 +44409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.494695332,1 +44410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.130631046,1 +44408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.107626403,1 +44412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.266124236,1 +44413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.996820997,1 +44414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.002672104,1 +44411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.94442968,1 +44415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.316522674,1 +44417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.210397501,1 +44418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.912756895,1 +44420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.834333807,1 +44416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.02642173,1 +44419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.451683566,1 +44421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.059554105,1 +44423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.709342995,1 +44422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.541922912,1 +44424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.421092417,1 +44426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.021450312,1 +44425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.269067797,1 +44427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,8.950918484,1 +44428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.369625277,1 +44429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.727359946,1 +44431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.96055829,1 +44430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.798641277,1 +44432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.239695002,1 +44435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.011766713,1 +44436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.708265018,1 +44433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.455308096,1 +44434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.657827654,1 +44437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.59769082,1 +44438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.007440875,1 +44440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.105719178,1 +44439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.429750911,1 +44443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.116581783,1 +44444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.06690392,1 +44442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.895132922,1 +44445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.459147425,1 +44441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,8.52312002,1 +44446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.259249437,1 +44447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.59011626,1 +44451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.69217494,1 +44449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.31386958,1 +44448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.473183682,1 +44452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.195538885,1 +44450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,1.974287123,1 +44453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.056456791,1 +44454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.352568111,1 +44456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.061078068,1 +44457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.65789835,1 +44455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.913001862,1 +44458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.07166446,1 +44459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.548405209,1 +44461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,1.820653618,1 +44462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.759753591,1 +44463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.232549494,1 +44460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.838130644,1 +44464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.83269182,1 +44465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.741613997,1 +44467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.037478966,1 +44468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.250300968,1 +44466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.799413586,1 +44469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.831656365,1 +44470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.740170609,1 +44471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.960745543,1 +44472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.879203679,1 +44473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.806603438,1 +44474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.432713207,1 +44475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.358527306,1 +44477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.325341784,1 +44476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.189699561,1 +44479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.922205193,1 +44481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.624478928,1 +44478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.04387734,1 +44482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.541801379,1 +44480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.493497436,1 +44484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.118151506,1 +44485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.142421751,1 +44486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.910951139,1 +44483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.194973522,1 +44487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.673811089,1 +44489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.793967098,1 +44490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,1.990208815,1 +44488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.061633402,1 +44491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.641192174,1 +44492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.763188623,1 +44493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.883174987,1 +44494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.50314765,1 +44497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.565994719,1 +44498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.709822542,1 +44496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.462665736,1 +44495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.870494034,1 +44500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.996372348,1 +44499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.702570824,1 +44502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.740352564,1 +44501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.288596606,1 +44504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.483105217,1 +44503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.419788434,1 +44506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.751099702,1 +44505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.668930244,1 +44508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.884595744,1 +44507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.960301981,1 +44509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.825130939,1 +44510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.894056962,1 +44512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.029271838,1 +44511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.643759063,1 +44515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.183525551,1 +44516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,1.713634759,1 +44513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.53666485,1 +44514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.300037502,1 +44519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.314646413,1 +44518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.950827891,1 +44520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.784272504,1 +44521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,0.423649597,1 +44517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.238040207,1 +44522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.073214288,1 +44523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.008905893,1 +44524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.855836556,1 +44525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.744972423,1 +44526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,0.980734866,1 +44527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.59377598,1 +44528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.156775847,1 +44529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.574050695,1 +44530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.486265556,1 +44533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.518295405,1 +44531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.098993731,1 +44532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.410652678,1 +44534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.779470955,1 +44535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.964390005,1 +44536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,9.928965341,1 +44538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.131408678,1 +44537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.649412626,1 +44539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.08396839,1 +44540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.88393489,1 +44541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.036125241,1 +44542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.109587377,1 +44543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.888936517,1 +44544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.19696365,1 +44545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.100409134,1 +44546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.625875575,1 +44547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.548473844,1 +44549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.992879237,1 +44551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.619865575,1 +44550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.92546563,1 +44548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.514911663,1 +44552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.234489823,1 +44553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.844466325,1 +44554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.137926995,1 +44556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.390850879,1 +44555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.749830067,1 +44557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.811639484,1 +44558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.326517418,1 +44559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.629838223,1 +44560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.883154836,1 +44561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.510162358,1 +44563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.641647357,1 +44564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.299050327,1 +44562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,8.54636448,1 +44565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.132150645,1 +44566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.53420302,1 +44568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.120684454,1 +44569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.913643952,1 +44570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,1.038921463,1 +44571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.887032302,1 +44567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.791020969,1 +44572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.802285537,1 +44573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.376681034,1 +44574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.129917456,1 +44576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.375348908,1 +44577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.435319304,1 +44578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.252742856,1 +44575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.828822737,1 +44580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.639020144,1 +44582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.005538605,1 +44579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.676223466,1 +44581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.10108869,1 +44583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.240501781,1 +44585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.017959065,1 +44584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.884854031,1 +44586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.129873515,1 +44587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.500271123,1 +44588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.050442767,1 +44590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.849939763,1 +44591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.716482425,1 +44592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.350021242,1 +44593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,1.905488516,1 +44589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.506004446,1 +44594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.862385049,1 +44595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.411718127,1 +44597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.840123731,1 +44596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.91718164,1 +44598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.844730768,1 +44599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.1872735,1 +44600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.447904414,1 +44602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.216540588,1 +44601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,1.86483328,1 +44603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.923448259,1 +44605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.294335581,1 +44606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.141617885,1 +44607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.739675872,1 +44609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.438309755,1 +44604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.627757662,1 +44608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.218057301,1 +44610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.297279027,1 +44612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.623472229,1 +44611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.77892893,1 +44613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.071269212,1 +44614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.330894968,1 +44615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.613599014,1 +44616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,1.7551226,1 +44617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.860367082,1 +44618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.977839326,1 +44619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.953223956,1 +44620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.9652019,1 +44621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.282793156,1 +44622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.429446277,1 +44624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.773545466,1 +44625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.146923899,1 +44626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.398854723,1 +44623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.716678162,1 +44628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.473054995,1 +44627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.700305568,1 +44630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.322000507,1 +44629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.381989331,1 +44631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.445619136,1 +44632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.390698041,1 +44633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.937127087,1 +44634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.954839362,1 +44635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.196171301,1 +44636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.289384588,1 +44637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.763696991,1 +44638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.31586174,1 +44639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.676480593,1 +44640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.842116779,1 +44642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.508863731,1 +44643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.013592183,1 +44644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.653847761,1 +44641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.706711388,1 +44645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,1.959993098,1 +44646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.284803038,1 +44647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.940406553,1 +44648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.601678055,1 +44649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.760732117,1 +44650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.841790589,1 +44653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.885593067,1 +44651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.232996705,1 +44652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.512419502,1 +44654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.064840523,1 +44655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.001501581,1 +44656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,1.476257875,1 +44657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.144926643,1 +44658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.652270731,1 +44659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,1.262354754,1 +44660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.499004584,1 +44661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.15678402,1 +44662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.906495363,1 +44663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.291920929,1 +44665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.256543035,1 +44664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.050133743,1 +44666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.683227882,1 +44667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.254855261,1 +44668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.696726727,1 +44670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.436963601,1 +44669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,1.585711719,1 +44671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.651681113,1 +44672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.616967284,1 +44673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.18531978,1 +44674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.92383828,1 +44675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.741646419,1 +44677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.109103243,1 +44679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.016397182,1 +44676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,8.317542131,1 +44678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.433905785,1 +44680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.170510487,1 +44681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.35820063,1 +44682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.623194719,1 +44684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.202549531,1 +44683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.322583128,1 +44686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.257735246,1 +44685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.780175094,1 +44689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.826080354,1 +44688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.679792647,1 +44687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.047106232,1 +44690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.810165091,1 +44691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.435757499,1 +44693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.740912528,1 +44694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.766804977,1 +44692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.080883601,1 +44695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.720214547,1 +44696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.038099144,1 +44697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.491183977,1 +44699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.676842731,1 +44700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.429305593,1 +44698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.577071534,1 +44701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,1.294221215,1 +44702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.904148075,1 +44705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.195024038,1 +44704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.05388712,1 +44703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.000144685,1 +44707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.471219871,1 +44708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.32070299,1 +44706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.017758443,1 +44709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.111004795,1 +44710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.359982096,1 +44712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.08747581,1 +44713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.194219687,1 +44714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.351656783,1 +44711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.663257857,1 +44715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.155933997,1 +44716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.361301235,1 +44719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.848889321,1 +44720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.022355946,1 +44717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.438379273,1 +44718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.907900709,1 +44721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.894346281,1 +44724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.052488538,1 +44723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.420131496,1 +44722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.111410134,1 +44726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.888660758,1 +44728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.08139412,1 +44727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.588021241,1 +44725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.090396658,1 +44731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.222008456,1 +44730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.784930354,1 +44732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.921687259,1 +44733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.008144835,1 +44734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.692636252,1 +44729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.861238253,1 +44735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.053883586,1 +44738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.651592762,1 +44739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.755011468,1 +44737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.01284335,1 +44736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.073591943,1 +44740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.778419403,1 +44742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.116336735,1 +44743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.736976883,1 +44744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.653824407,1 +44745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.773092556,1 +44746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.017884501,1 +44741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.151583323,1 +44748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.396216103,1 +44749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.008406767,1 +44747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.911382704,1 +44750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.830523852,1 +44751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.516541768,1 +44752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.545831574,1 +44754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.07307828,1 +44753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,8.797068422,1 +44755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.831559061,1 +44756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,8.362228692,1 +44757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.233250318,1 +44758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.067478013,1 +44759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.464041144,1 +44760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.241741625,1 +44763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.309077639,1 +44762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.640159989,1 +44764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.83310518,1 +44761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.041432505,1 +44765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.732292352,1 +44768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.1435924,1 +44767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.436066335,1 +44766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.036000319,1 +44770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.332302343,1 +44769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.709554728,1 +44771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.449042173,1 +44774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.462420233,1 +44773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.804948679,1 +44772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.115213144,1 +44775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.846778772,1 +44776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.618665842,1 +44777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.429019257,1 +44778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.249193864,1 +44779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.320467521,1 +44783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.409256909,1 +44781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.065690635,1 +44782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.781782449,1 +44780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,1.74909404,1 +44784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.470797445,1 +44785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.236184998,1 +44786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.784492209,1 +44787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.315749071,1 +44788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.731431538,1 +44789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.280290187,1 +44790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.441042077,1 +44792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.163356879,1 +44791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.20837363,1 +44793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.048274736,1 +44794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.069879525,1 +44795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.915139464,1 +44796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.915960357,1 +44797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.34459664,1 +44798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.938957136,1 +44800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.292183299,1 +44801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.702587475,1 +44799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.433530794,1 +44803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.840848426,1 +44804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.62294036,1 +44805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.723816727,1 +44802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.74275377,1 +44806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.394808906,1 +44807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.129562796,1 +44808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.432924344,1 +44809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.857225394,1 +44810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.402320589,1 +44811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.414449556,1 +44812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.366574679,1 +44813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.711805232,1 +44814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.434104941,1 +44816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.787259695,1 +44815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.45948239,1 +44818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.576640546,1 +44820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.298915311,1 +44819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.134160098,1 +44821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,1.820334619,1 +44823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.731150844,1 +44822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.467607399,1 +44817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.293033823,1 +44824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.905664955,1 +44825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.659137297,1 +44826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.515360605,1 +44827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.753296439,1 +44829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.808034549,1 +44828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.309726003,1 +44830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.629157114,1 +44831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.10565435,1 +44832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.089391407,1 +44833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.400424653,1 +44834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.315490399,1 +44835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.412872273,1 +44836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.279028059,1 +44837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.147876268,1 +44838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.740277963,1 +44840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.015166564,1 +44841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.211802774,1 +44842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.772984925,1 +44839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.804160432,1 +44844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.749421093,1 +44845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.119981008,1 +44843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.994566238,1 +44846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.911911727,1 +44847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.984244788,1 +44849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.122042284,1 +44848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.181923875,1 +44850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.354748958,1 +44851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.607583361,1 +44852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.845818416,1 +44853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.182976095,1 +44854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.429733173,1 +44855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.72636445,1 +44856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.88470761,1 +44857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.504730747,1 +44861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.60834062,1 +44859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.30556241,1 +44860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.555527866,1 +44858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.214088374,1 +44862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.790769713,1 +44863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,1.954907756,1 +44864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.501551269,1 +44865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.679020657,1 +44867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.833834913,1 +44866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.227543306,1 +44868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.025687394,1 +44871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.696512982,1 +44870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.80690821,1 +44872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,1.951708159,1 +44869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.322480404,1 +44873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.002906159,1 +44874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.249813163,1 +44875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.572044566,1 +44876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.928370787,1 +44877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.092513682,1 +44878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.564135905,1 +44879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.92337222,1 +44880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,1.567155185,1 +44881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.236588274,1 +44882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.612021646,1 +44883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.242998776,1 +44884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.389709096,1 +44885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.682234154,1 +44886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.500378881,1 +44887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.76989303,1 +44888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.732376336,1 +44890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.146120248,1 +44889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.46034712,1 +44891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.475235528,1 +44894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.70201226,1 +44893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.187771863,1 +44895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.00114057,1 +44896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.98592113,1 +44892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.392572131,1 +44897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.174443981,1 +44898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.008203891,1 +44899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.170921165,1 +44900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.149389234,1 +44901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.146500617,1 +44902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,1.736079508,1 +44903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,1.563208228,1 +44904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.952638175,1 +44905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.149535528,1 +44907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.328313938,1 +44908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.490694477,1 +44906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.196323789,1 +44910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.026991156,1 +44912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.134980502,1 +44909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.730916733,1 +44913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.635979988,1 +44914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.260116894,1 +44915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.015414762,1 +44911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.880380733,1 +44916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.631468083,1 +44917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.704202754,1 +44918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.829774186,1 +44919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.511513181,1 +44922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.951044695,1 +44920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.369426432,1 +44921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.801661006,1 +44923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.314677014,1 +44925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.480981929,1 +44926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,1.826011487,1 +44927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.970305209,1 +44924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,1.998452259,1 +44928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.628786739,1 +44929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.799867971,1 +44931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.767105586,1 +44932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,10.82092691,1 +44933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.038680364,1 +44934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.779580242,1 +44930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.188440988,1 +44937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.222460488,1 +44936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.642929932,1 +44938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.734010744,1 +44935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.243834691,1 +44939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.704660682,1 +44940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.144726598,1 +44942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.469068199,1 +44941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.887829632,1 +44944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.424283794,1 +44946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.785163692,1 +44945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.251729536,1 +44943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.119827911,1 +44947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.256178897,1 +44948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.38689948,1 +44950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.640187137,1 +44953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.780183566,1 +44949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.676213083,1 +44951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.932522671,1 +44952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.579426722,1 +44954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.857180547,1 +44956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.31682745,1 +44955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.150670169,1 +44957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.658573375,1 +44959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.63895852,1 +44960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.24356753,1 +44961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.648965086,1 +44962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.907386178,1 +44964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.733663494,1 +44958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.024222705,1 +44966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.208399784,1 +44967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.274086955,1 +44963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.762566919,1 +44965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.066895515,1 +44969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.672600439,1 +44968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.750628075,1 +44970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.268463579,1 +44971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.537520914,1 +44972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.897197173,1 +44973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.326365303,1 +44974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.975221849,1 +44975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.605333373,1 +44977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.153917274,1 +44978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.9997049,1 +44979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.121470653,1 +44982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.794114523,1 +44976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.834854978,1 +44980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.276052147,1 +44983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.611873287,1 +44981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.560218282,1 +44984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.259849243,1 +44986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,8.067689043,1 +44985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.286121758,1 +44987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,2.880694476,1 +44988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.293426938,1 +44989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.215578129,1 +44990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.362635045,1 +44991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.3968361,1 +44992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.868646531,1 +44994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.073478117,1 +44995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.537407478,1 +44993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,5.226835621,1 +44996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,7.253885918,1 +44998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,6.674055441,1 +44997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.343521961,1 +44999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,4.50277705,1 +45000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,5,1,3.625560158,1 +54001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.940901078,1 +54003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.198199403,1 +54002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.36561825,1 +54004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.571361821,1 +54007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.780323697,1 +54005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.649778939,1 +54006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.126495335,1 +54008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.196311759,1 +54009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.743834115,1 +54011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.806251265,1 +54010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.230631552,1 +54012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.81147308,1 +54013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.545110801,1 +54016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.748164147,1 +54014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.911091463,1 +54015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,1.999779269,1 +54017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.999359606,1 +54018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.669817249,1 +54019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.891870266,1 +54020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.920465332,1 +54021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.998530679,1 +54022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.991806196,1 +54023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.146020187,1 +54024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.236140228,1 +54025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,9.307361001,1 +54026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.632986446,1 +54027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.963218498,1 +54028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.300955204,1 +54030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.197815443,1 +54029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.225196158,1 +54032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,1.6091431,1 +54033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.017144535,1 +54034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.754207828,1 +54031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.324190553,1 +54035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.62655096,1 +54037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.502575169,1 +54036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.293689922,1 +54039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.550997647,1 +54038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.032536022,1 +54040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.464112624,1 +54041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.12227479,1 +54042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.979514601,1 +54043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.429641792,1 +54045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.231801014,1 +54044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.903708716,1 +54047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.442248667,1 +54046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.948969693,1 +54048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,7.776636046,1 +54049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.967831416,1 +54051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.735262794,1 +54053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.618823181,1 +54052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.731897435,1 +54050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.707589378,1 +54054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.735401286,1 +54055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.277010772,1 +54056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.774153285,1 +54057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.010176584,1 +54060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.529547587,1 +54059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.227756252,1 +54061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.88843853,1 +54058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.686610577,1 +54062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.794194417,1 +54063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.953630407,1 +54064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.602853299,1 +54065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.182958083,1 +54066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.440319608,1 +54067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.253092932,1 +54069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.778743107,1 +54070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.76999043,1 +54071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.445067478,1 +54068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.92004565,1 +54072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.006494213,1 +54075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.560634075,1 +54074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.131918228,1 +54073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.058495319,1 +54077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.220117501,1 +54076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.080982285,1 +54078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.80890698,1 +54079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.382247303,1 +54080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.976992184,1 +54082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.784972197,1 +54081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.387154712,1 +54083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.903042126,1 +54085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.940937584,1 +54086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.284401468,1 +54087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,7.84009988,1 +54084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.386431214,1 +54088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.726940758,1 +54089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.904061282,1 +54091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.837073319,1 +54090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.059505913,1 +54094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.68007954,1 +54092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.82509804,1 +54095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.997617118,1 +54097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.791773335,1 +54096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.800558974,1 +54093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.448362924,1 +54098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.787174332,1 +54099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.192537529,1 +54100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.537350451,1 +54101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,1.650483456,1 +54103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.482662778,1 +54102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.854696817,1 +54105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.417443803,1 +54106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.90334788,1 +54104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.072562534,1 +54107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.933092171,1 +54108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.96406233,1 +54109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,1.340152159,1 +54110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.626480435,1 +54111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.080880707,1 +54113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.841365976,1 +54114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.561420423,1 +54115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.736870983,1 +54116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.727403576,1 +54112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.519763517,1 +54117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,1.684908518,1 +54118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.077288471,1 +54119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.02228973,1 +54121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.860368009,1 +54120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.441706879,1 +54122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.857725737,1 +54123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.949157915,1 +54125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.975769926,1 +54124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.358767358,1 +54126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.449840981,1 +54127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.521579162,1 +54128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.622535667,1 +54129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.532876719,1 +54130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.831625041,1 +54131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.393840381,1 +54132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.871686567,1 +54134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.084098702,1 +54135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.686694467,1 +54133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.99898305,1 +54138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.865996375,1 +54136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.284788689,1 +54137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.826454461,1 +54139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.483184913,1 +54140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.241525544,1 +54141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.530240717,1 +54143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.437243233,1 +54144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.037276613,1 +54145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.413117911,1 +54142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.96255396,1 +54148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.246153507,1 +54149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.956291132,1 +54147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,0.859238272,1 +54146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.545411079,1 +54151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.290468827,1 +54153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.091870607,1 +54152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,7.261809141,1 +54154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.063963182,1 +54150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,7.276326778,1 +54156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.905272271,1 +54155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.779803759,1 +54158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.865141632,1 +54159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.352695463,1 +54161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.269467417,1 +54160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.172974852,1 +54157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.844157258,1 +54163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.963211203,1 +54164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.322821186,1 +54165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.270470773,1 +54166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.360681709,1 +54162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.105100968,1 +54168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.200159176,1 +54167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.556586445,1 +54170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.632108891,1 +54169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.788531712,1 +54171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.394532677,1 +54172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.514476414,1 +54173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.585767732,1 +54174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.477488783,1 +54177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.99922826,1 +54176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.523984348,1 +54178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.865563036,1 +54179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.333060344,1 +54175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.553560356,1 +54181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.273128008,1 +54180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.639353045,1 +54183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.811141465,1 +54185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.488399235,1 +54182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.980868153,1 +54184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.067877442,1 +54186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.814711138,1 +54187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.40195817,1 +54188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.5447203,1 +54189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,8.035648348,1 +54190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.198157333,1 +54193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.934953784,1 +54192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.374602468,1 +54191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.013792318,1 +54195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.456103801,1 +54196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.201842095,1 +54194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.381178044,1 +54197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.227707498,1 +54199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.919405891,1 +54198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.84257972,1 +54200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.83136508,1 +54201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.519655379,1 +54203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.254057778,1 +54202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.169634425,1 +54204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,7.659252867,1 +54205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.508261315,1 +54207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.731433931,1 +54206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.683083105,1 +54208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.543688129,1 +54210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.943302486,1 +54211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.470073712,1 +54209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.610952965,1 +54214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,7.517210213,1 +54212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.306637841,1 +54213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.530631647,1 +54215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.151140857,1 +54216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.150792056,1 +54217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.798903847,1 +54218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.200405833,1 +54219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.563824935,1 +54220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.840397956,1 +54221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.235342129,1 +54222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.543848774,1 +54225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.196191738,1 +54224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.963062763,1 +54223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.497930901,1 +54226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.820365666,1 +54227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.631294151,1 +54229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.736210829,1 +54228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.229510066,1 +54230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.879087151,1 +54231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.140126388,1 +54233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.530173024,1 +54234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.702505537,1 +54235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.684724096,1 +54236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.273451195,1 +54237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.15689971,1 +54238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.726687954,1 +54239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.01886356,1 +54232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.488027057,1 +54240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.767770672,1 +54241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.285727012,1 +54242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.804689821,1 +54243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.82546171,1 +54244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.665441498,1 +54245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.313239359,1 +54247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.689388024,1 +54246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.700327323,1 +54248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.89576902,1 +54249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.054423592,1 +54251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.933274771,1 +54250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.130829895,1 +54252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.973062307,1 +54253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.390998549,1 +54254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,1.57438898,1 +54255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.883581174,1 +54258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.879135629,1 +54256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,7.020764697,1 +54257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.733094287,1 +54259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.592557394,1 +54261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.501163018,1 +54262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.295998884,1 +54260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.096209468,1 +54263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.012463519,1 +54264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.666365868,1 +54265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.43092303,1 +54266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.260192377,1 +54267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.17856545,1 +54268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.712394077,1 +54269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.185155204,1 +54270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.595578455,1 +54273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.72012549,1 +54274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.673532403,1 +54271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.29423346,1 +54272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.647313218,1 +54276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.366090146,1 +54277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.074456245,1 +54275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.301353475,1 +54278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.403368772,1 +54279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.957725118,1 +54280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.897934806,1 +54281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.942803086,1 +54282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.916665866,1 +54283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.821692042,1 +54284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.698207559,1 +54285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.415591806,1 +54286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.191423983,1 +54287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.153781527,1 +54288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.240586862,1 +54289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.900767018,1 +54291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.719428018,1 +54290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.291606892,1 +54292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.499855257,1 +54293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.740530433,1 +54294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.151984515,1 +54295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.876441279,1 +54296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.00683408,1 +54297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.437866954,1 +54298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.964394972,1 +54299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.622880159,1 +54300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.358638404,1 +54302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.822262867,1 +54301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.723891261,1 +54304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.962993415,1 +54303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.510794621,1 +54306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.047410537,1 +54305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.57140471,1 +54307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.484190694,1 +54308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.673524621,1 +54310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.728573685,1 +54311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.485135215,1 +54312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.497809115,1 +54313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.669971022,1 +54309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.149412207,1 +54314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.522523274,1 +54316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.345262966,1 +54315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.643609673,1 +54318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,1.041837177,1 +54317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.369392438,1 +54319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.418712604,1 +54320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.513910705,1 +54321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.733858976,1 +54322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.438661102,1 +54323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.816911187,1 +54324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.48046467,1 +54325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.027443908,1 +54326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.781355673,1 +54327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,7.00367771,1 +54329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.194240598,1 +54331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,8.322177561,1 +54328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.150561592,1 +54332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.698023794,1 +54333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.730140264,1 +54330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.257931635,1 +54334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.136762007,1 +54337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.828860049,1 +54335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.80394527,1 +54336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.464422313,1 +54338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.598157645,1 +54339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.063499565,1 +54340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.78203763,1 +54342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.878968866,1 +54341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.249541354,1 +54343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.999087781,1 +54344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.447297519,1 +54346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.016760358,1 +54345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.864405698,1 +54348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.602034167,1 +54349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.462450367,1 +54347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.105192144,1 +54350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.748798489,1 +54351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.25393057,1 +54353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.40050719,1 +54352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.167933122,1 +54355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.705017912,1 +54356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.113888831,1 +54357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.318845324,1 +54358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.984158658,1 +54359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.823947354,1 +54354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.577867261,1 +54360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.333927517,1 +54361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.267189791,1 +54362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.037996432,1 +54364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.403460292,1 +54363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.41159093,1 +54367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,8.581396992,1 +54365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.706099032,1 +54366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.30626844,1 +54368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.865088709,1 +54369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.571822837,1 +54370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.680358825,1 +54371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.740347368,1 +54372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.334204979,1 +54374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.081577341,1 +54375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,1.377288386,1 +54376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.673954831,1 +54373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.915756768,1 +54377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.776671959,1 +54378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.77731634,1 +54379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.363039482,1 +54380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.63814549,1 +54382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.899291009,1 +54381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.04923838,1 +54384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.375415888,1 +54385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.001123307,1 +54383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.427524667,1 +54386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.805073769,1 +54387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.151952545,1 +54389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.466688089,1 +54388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.377129253,1 +54390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.856889339,1 +54392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.826878337,1 +54393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.386547992,1 +54394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.803002662,1 +54391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.364492534,1 +54397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,1.464266521,1 +54395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.994602773,1 +54396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.391016402,1 +54398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.106128152,1 +54399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.751258574,1 +54400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.16667107,1 +54401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.909084065,1 +54403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.654105382,1 +54402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.953970213,1 +54404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,7.041358758,1 +54405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.184442549,1 +54406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.673989655,1 +54407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.436633419,1 +54408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.675446099,1 +54409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.605367148,1 +54410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.201776648,1 +54412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,7.174857979,1 +54414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,1.743052338,1 +54415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,1.69931796,1 +54413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.464545735,1 +54411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.90079676,1 +54416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,7.320207784,1 +54417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.910549595,1 +54418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.935572561,1 +54419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.462382595,1 +54420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.868255953,1 +54421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.358611231,1 +54422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.621573079,1 +54423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.337340364,1 +54424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.311392913,1 +54426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.110417426,1 +54425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.660543472,1 +54427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.120010081,1 +54428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.991682523,1 +54430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.831314556,1 +54429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.389770288,1 +54433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.280487071,1 +54432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.326481614,1 +54431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.013455333,1 +54434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.455148068,1 +54436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.412882556,1 +54435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.965698819,1 +54437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.430210482,1 +54438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.016345749,1 +54439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.897604578,1 +54440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.789867322,1 +54441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.048888733,1 +54442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.829040568,1 +54443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.542574921,1 +54446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,7.684267274,1 +54444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.796841062,1 +54447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.362034321,1 +54448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.972425346,1 +54445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.076101956,1 +54449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,7.840004443,1 +54450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.538337662,1 +54451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.598953976,1 +54452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.218065982,1 +54453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.024325178,1 +54454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,1.893154322,1 +54455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.663399917,1 +54456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.358962655,1 +54458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.719642822,1 +54457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.666049906,1 +54461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.883903441,1 +54459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.411550162,1 +54460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.675348226,1 +54462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.251248839,1 +54464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.317755217,1 +54463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.652751237,1 +54465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.69836784,1 +54467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.91163297,1 +54468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.030712214,1 +54469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.055871478,1 +54470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.1006702,1 +54471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.162374577,1 +54472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.223405821,1 +54466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.425187607,1 +54473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.564257366,1 +54474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.206664531,1 +54476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.164651365,1 +54475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.592750445,1 +54477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.236036513,1 +54478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.186124404,1 +54480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.810782834,1 +54479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.585948572,1 +54482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.570920104,1 +54481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.96160232,1 +54483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.577148503,1 +54484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.459391913,1 +54485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.658899786,1 +54486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.677352594,1 +54487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.326612557,1 +54490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.738464023,1 +54488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.919066716,1 +54491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.241963344,1 +54489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.542955433,1 +54492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.982792485,1 +54494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.700282286,1 +54493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.583872054,1 +54495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.07953262,1 +54496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.532107627,1 +54497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.135204204,1 +54499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.66901221,1 +54498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.055534549,1 +54500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.488165754,1 +54501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.780301354,1 +54502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.892885765,1 +54504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.749006571,1 +54503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.693268671,1 +54505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.554111239,1 +54506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.807823621,1 +54507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.00925432,1 +54508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.825660704,1 +54510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.056187665,1 +54509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.561426716,1 +54511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.941418317,1 +54512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.232994361,1 +54513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,1.588253779,1 +54514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,8.016158032,1 +54515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.517929991,1 +54518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.915040565,1 +54517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.573799644,1 +54516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.13728932,1 +54521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.155851633,1 +54519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.084192404,1 +54522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.05418007,1 +54520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,7.113013054,1 +54524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.987795226,1 +54523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.178313434,1 +54525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.755876394,1 +54526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.299087181,1 +54527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.157958073,1 +54528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.984704378,1 +54531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.558789327,1 +54530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.599524274,1 +54532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.774479543,1 +54529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.115582264,1 +54534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.430934382,1 +54533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.798929033,1 +54535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.198793423,1 +54536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.020331293,1 +54539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.368262088,1 +54537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.290465093,1 +54538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.946145083,1 +54540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.187053094,1 +54541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.287822237,1 +54543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,1.765588574,1 +54542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.712789805,1 +54546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.338584083,1 +54545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.794562184,1 +54547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.395896785,1 +54544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.86261577,1 +54548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.815794288,1 +54549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.651336568,1 +54550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.46043852,1 +54551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.164825235,1 +54553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.037204272,1 +54552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.089964973,1 +54554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,7.74085305,1 +54556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.521417012,1 +54558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.625643044,1 +54557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.626491558,1 +54555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.294970017,1 +54559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.530259162,1 +54560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.297209209,1 +54561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.468869796,1 +54562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.574704598,1 +54563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.008533295,1 +54564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.98809886,1 +54565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.386922108,1 +54567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.473560615,1 +54569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.396592674,1 +54568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.243311161,1 +54566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.756613184,1 +54570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.853915709,1 +54571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.225290497,1 +54572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.641515743,1 +54574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.275902881,1 +54573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,8.493416584,1 +54575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.846702026,1 +54576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.256520095,1 +54577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.174173,1 +54578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.652285779,1 +54580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.273075514,1 +54579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.539667536,1 +54582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.861526064,1 +54581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,0.957908845,1 +54583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,8.662198613,1 +54585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.161971174,1 +54584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.191419188,1 +54586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.261484299,1 +54587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.957826398,1 +54588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.289212474,1 +54589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.407921056,1 +54590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.911249761,1 +54592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.539246594,1 +54591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,8.714195592,1 +54593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,7.571533802,1 +54594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.37159311,1 +54596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.171481029,1 +54597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.591375952,1 +54598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.907414462,1 +54595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.113869625,1 +54599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.635442124,1 +54601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.24289333,1 +54602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.823480242,1 +54600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.839470542,1 +54603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.854885039,1 +54605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.820408596,1 +54604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.331037565,1 +54607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.473205571,1 +54608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.811077736,1 +54609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.168557049,1 +54606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.459278929,1 +54610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.945815403,1 +54611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.96640935,1 +54612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.791406654,1 +54613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.212824089,1 +54614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.25326802,1 +54616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.769303963,1 +54615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.506225461,1 +54617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.080683715,1 +54618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.699045207,1 +54620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.085975582,1 +54619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.034193343,1 +54623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.574979655,1 +54622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.696295582,1 +54624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,1.533215467,1 +54621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.988992325,1 +54626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,7.308848682,1 +54625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.74293822,1 +54627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.102890531,1 +54628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.060141096,1 +54630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.466292782,1 +54631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.219074355,1 +54629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.087796238,1 +54632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.670880273,1 +54635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.037281705,1 +54633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.580389559,1 +54634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.790013118,1 +54636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.151270989,1 +54639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,1.633159115,1 +54638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.915988507,1 +54637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.185710122,1 +54641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.891218264,1 +54642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.084199193,1 +54643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.40419885,1 +54640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.837463895,1 +54646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.609431614,1 +54645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.204255136,1 +54647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,1.93833188,1 +54644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.513010252,1 +54649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,1.082112574,1 +54648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.377483385,1 +54651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.620559743,1 +54650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.755872703,1 +54652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.717571874,1 +54653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.4365256,1 +54654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.324998242,1 +54656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.288844391,1 +54657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.60374096,1 +54658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.517406957,1 +54655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.452988006,1 +54659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.693046375,1 +54660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.409444393,1 +54661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.587645148,1 +54662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.729738535,1 +54663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.329595815,1 +54664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,7.70564261,1 +54665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.986132318,1 +54666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.742760125,1 +54668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,1.521781282,1 +54667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.773179347,1 +54669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.117236142,1 +54670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.625414346,1 +54672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.043809932,1 +54671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.376070683,1 +54673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.637941751,1 +54675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.336477122,1 +54674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.624635959,1 +54677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.719339239,1 +54676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.175136176,1 +54678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.217561098,1 +54681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.101981173,1 +54680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.246057885,1 +54679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.08353537,1 +54682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.28663568,1 +54683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.846046034,1 +54684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.574414774,1 +54685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.623231847,1 +54686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.87095236,1 +54687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,1.754114479,1 +54688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.174895276,1 +54689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.910926123,1 +54690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.95510454,1 +54692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.859362278,1 +54691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.753142616,1 +54696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.06776853,1 +54695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.315945502,1 +54694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.483078896,1 +54693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.891070273,1 +54699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.717187194,1 +54697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.728257669,1 +54698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.576521023,1 +54702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.63569932,1 +54703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.882207684,1 +54701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.225900034,1 +54700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.526784833,1 +54704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,1.949754036,1 +54706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.795206118,1 +54707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.518050702,1 +54705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.857722418,1 +54708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.938474606,1 +54709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.103569772,1 +54711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.843320089,1 +54710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.970730744,1 +54712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.899021049,1 +54713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.497317993,1 +54714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.291547178,1 +54716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.927639073,1 +54718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,1.390654708,1 +54717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.651762955,1 +54719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.609224621,1 +54715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.344193794,1 +54720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.719968469,1 +54721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.459240386,1 +54722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.086651028,1 +54723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.011384116,1 +54724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.908024353,1 +54725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.539426321,1 +54726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.687589151,1 +54727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,7.471125364,1 +54728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.331717314,1 +54729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.795230558,1 +54730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.190241913,1 +54732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.194940145,1 +54731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.78303418,1 +54733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.569793251,1 +54735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.809169136,1 +54734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,7.378392116,1 +54737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.002868889,1 +54736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.400588273,1 +54739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.859043492,1 +54738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.680372417,1 +54740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.586612323,1 +54741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.347865916,1 +54742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.2767717,1 +54743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.889374018,1 +54744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.843263812,1 +54745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.585916355,1 +54746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.916109332,1 +54747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.63981826,1 +54748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.425425367,1 +54749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.8743808,1 +54750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.822225665,1 +54751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.493147047,1 +54752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.545607359,1 +54754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.395156676,1 +54755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.93572942,1 +54753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.473789284,1 +54758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.722214579,1 +54759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,1.172677967,1 +54757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.718143409,1 +54756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.648105006,1 +54760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.411797213,1 +54761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.889710347,1 +54764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.88938766,1 +54763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.50988213,1 +54762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.290166547,1 +54765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.255646307,1 +54767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.262562409,1 +54768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.26755915,1 +54766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.21002687,1 +54770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.402191176,1 +54769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.08342655,1 +54771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.804474511,1 +54772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.082741147,1 +54773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.998845116,1 +54774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.080861408,1 +54776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.862861629,1 +54775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.532918712,1 +54778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.83366027,1 +54779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.988653797,1 +54777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.489852317,1 +54780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.023332108,1 +54781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.291899096,1 +54784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.008715393,1 +54783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.210088063,1 +54782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.150412263,1 +54785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.682262043,1 +54787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.869907272,1 +54786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.972903055,1 +54788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.286070125,1 +54789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.94972884,1 +54792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.276384306,1 +54790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.154416051,1 +54793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.532882876,1 +54794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.126335979,1 +54791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.435599681,1 +54795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.411475272,1 +54796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.964377748,1 +54798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.844023982,1 +54799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.292552773,1 +54797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.394921908,1 +54801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.297078618,1 +54802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.877095182,1 +54800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.313382975,1 +54804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.428279648,1 +54803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.900336448,1 +54806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.429760506,1 +54808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.268258207,1 +54805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.270677135,1 +54807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.866516878,1 +54809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.605974148,1 +54810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.396305158,1 +54812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.21477981,1 +54811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.95125648,1 +54815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.176466746,1 +54814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.527371923,1 +54813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.680794329,1 +54816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.404193061,1 +54818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.029597699,1 +54817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.733850246,1 +54819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.835107179,1 +54820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.906113954,1 +54821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.125321494,1 +54823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,8.012107109,1 +54825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.905155367,1 +54822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.459534472,1 +54824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.155441265,1 +54826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.714956232,1 +54829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.530186398,1 +54828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.803228002,1 +54827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.791339198,1 +54831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.576693894,1 +54830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.750861138,1 +54833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.283972516,1 +54832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.405421036,1 +54834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.951566642,1 +54835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.194011515,1 +54836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,1.698630174,1 +54837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,1.787617161,1 +54839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.570548871,1 +54840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.190128025,1 +54842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.32345203,1 +54841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.38503222,1 +54838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.597224446,1 +54843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.648322187,1 +54846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.887505735,1 +54847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.013493191,1 +54845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.704546503,1 +54848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.339186353,1 +54844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.209008124,1 +54849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.688744424,1 +54850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.989054401,1 +54851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.468525339,1 +54853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.086898808,1 +54854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.123747362,1 +54852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.965716107,1 +54856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.768591089,1 +54858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.044832273,1 +54857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,1.854230248,1 +54855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.665859657,1 +54859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.583784278,1 +54860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.212646124,1 +54861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.786860971,1 +54862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.921297852,1 +54865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.343243537,1 +54863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.54878644,1 +54866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.71615197,1 +54867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.204140204,1 +54868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.633673,1 +54864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.566372102,1 +54869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.325681303,1 +54870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.068709807,1 +54871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,7.555721413,1 +54872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.300608485,1 +54873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.085737699,1 +54875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.693918859,1 +54876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.652912385,1 +54874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.458289753,1 +54877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,7.099659053,1 +54878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.478585087,1 +54879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.201702562,1 +54881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.326937734,1 +54880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.25584535,1 +54882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.07002077,1 +54884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.89264076,1 +54885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.126859885,1 +54886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.38900684,1 +54883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.465434427,1 +54887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.687650852,1 +54888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.176819081,1 +54890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.138733408,1 +54889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.684047669,1 +54891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.290739343,1 +54892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.201483669,1 +54893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.728685348,1 +54894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.950905941,1 +54895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.765151424,1 +54896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.292637129,1 +54897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.375640268,1 +54899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,1.933842805,1 +54898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.308964703,1 +54900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.202737934,1 +54902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.20431344,1 +54903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.858479999,1 +54904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.112754133,1 +54901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.715076676,1 +54907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.223547248,1 +54906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.674868001,1 +54905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.519990398,1 +54908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.02501198,1 +54910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.686999396,1 +54911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.485346478,1 +54909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.752301868,1 +54912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.584500931,1 +54913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.904335558,1 +54914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.741128795,1 +54915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.407038953,1 +54916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.472071644,1 +54917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.225413485,1 +54918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.704422239,1 +54919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.685051594,1 +54922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.769571313,1 +54921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.857586888,1 +54923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,7.584809815,1 +54920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.104099428,1 +54925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.750644135,1 +54924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.270464651,1 +54926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.320019026,1 +54927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.466796413,1 +54928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.85379661,1 +54929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.475433712,1 +54930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.617374644,1 +54931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.983264115,1 +54932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.655059899,1 +54933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.319929164,1 +54934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.420320741,1 +54935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.176177641,1 +54937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.195109036,1 +54936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.59067116,1 +54938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.896452092,1 +54940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,8.593178225,1 +54939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.71907238,1 +54941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.578439348,1 +54942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.031256131,1 +54943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.170899267,1 +54944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.552494683,1 +54945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.710786324,1 +54947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.20938,1 +54946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.56870474,1 +54948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.770790612,1 +54949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.269661735,1 +54950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.266324723,1 +54951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.810181215,1 +54954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.131779021,1 +54953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.212312998,1 +54955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,1.973606185,1 +54952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.467054718,1 +54956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.085737239,1 +54957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.39491629,1 +54958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.97920879,1 +54959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.789584754,1 +54961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.678518906,1 +54962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.900840869,1 +54960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.017320965,1 +54963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.638133822,1 +54965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.310096319,1 +54964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,7.566430116,1 +54966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.220750263,1 +54967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.868177255,1 +54970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.039912151,1 +54969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.883628698,1 +54968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.906250331,1 +54972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.308385441,1 +54973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.445303538,1 +54974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.12094796,1 +54976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.443470733,1 +54975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.256036448,1 +54977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.66631435,1 +54971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.247557933,1 +54978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,6.005726549,1 +54980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.444850402,1 +54979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.017856202,1 +54981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.750854289,1 +54983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.627461455,1 +54982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.764188259,1 +54984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.414006136,1 +54985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.92461093,1 +54986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.52849867,1 +54987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.93432206,1 +54988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.881644253,1 +54989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.661664198,1 +54990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.715687049,1 +54991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.632421778,1 +54992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.827526072,1 +54994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,5.308414554,1 +54995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.687529681,1 +54996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.967817571,1 +54993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.003186669,1 +54997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,3.500419594,1 +54998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.125682663,1 +55000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,2.883364066,1 +54999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,5,1,4.362934637,1 +64003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.481098201,1 +64001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.757672743,1 +64002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.798143409,1 +64004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.292254957,1 +64005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.174391939,1 +64006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.057223505,1 +64007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.002256325,1 +64009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.195927248,1 +64008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,7.903251697,1 +64011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.611127732,1 +64010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.835077966,1 +64013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.120815172,1 +64014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.690691796,1 +64015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.283592587,1 +64012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.161017593,1 +64016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,1.36607485,1 +64019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.350796487,1 +64018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.03542055,1 +64017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.978741057,1 +64021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.536824259,1 +64020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.015945356,1 +64023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.28717933,1 +64022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.320013384,1 +64024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.24888922,1 +64025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.378313735,1 +64026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.24044036,1 +64027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.315076386,1 +64029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.50006802,1 +64030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.407012975,1 +64031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.661225694,1 +64028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.959058547,1 +64032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.875240965,1 +64034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.35226723,1 +64033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.208517086,1 +64035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.675104802,1 +64037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.480187393,1 +64036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.196278995,1 +64038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.992555458,1 +64039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,1.846169497,1 +64040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.154191554,1 +64041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.63679348,1 +64042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.917495222,1 +64043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.068105932,1 +64044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.247712649,1 +64046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.497910127,1 +64045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.912134599,1 +64048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.078754962,1 +64049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.489313461,1 +64047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.451790081,1 +64051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.50073196,1 +64052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.431587463,1 +64050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.446451838,1 +64053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.795776842,1 +64054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.814030505,1 +64055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.781986276,1 +64057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,7.665873975,1 +64058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.945092459,1 +64059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.553468402,1 +64056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.842259064,1 +64060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.234982217,1 +64061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.192179599,1 +64062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.470618838,1 +64063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.493404302,1 +64067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.945148211,1 +64064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.015775358,1 +64065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.414225095,1 +64066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.098819966,1 +64069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.08492102,1 +64068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.601365492,1 +64070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.774118851,1 +64071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.601660774,1 +64072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.205878658,1 +64074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.828263277,1 +64076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.120369475,1 +64075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,7.040490729,1 +64077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.792734489,1 +64073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.678102134,1 +64079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.43204051,1 +64078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.217708653,1 +64080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.475676735,1 +64081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.218969635,1 +64082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.147190836,1 +64083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.503715857,1 +64084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.754670301,1 +64085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.098452574,1 +64086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.778156782,1 +64087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.590881986,1 +64088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.162842974,1 +64090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.335421881,1 +64091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.412103448,1 +64092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.00490984,1 +64093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.46192636,1 +64089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.505369925,1 +64097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.074286719,1 +64094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.571559088,1 +64095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.025891466,1 +64096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.091573488,1 +64098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.374364522,1 +64099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.593228698,1 +64100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.362158274,1 +64101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,1.984522927,1 +64102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.785174089,1 +64104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.7968846,1 +64103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.984211623,1 +64105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.296795645,1 +64107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.422954733,1 +64109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.068739924,1 +64108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.826551306,1 +64112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.933115498,1 +64110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.004634771,1 +64106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.143758564,1 +64111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.583025395,1 +64113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.161693743,1 +64114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.23584556,1 +64115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.252909497,1 +64116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.27600868,1 +64117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.146860475,1 +64120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.412556524,1 +64118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.640356504,1 +64119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.017461812,1 +64122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.325351655,1 +64121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.696812299,1 +64123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.885625006,1 +64124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.110707943,1 +64126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.428429425,1 +64125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.330637448,1 +64129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.301524217,1 +64130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.684248011,1 +64127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.824917733,1 +64131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.06128359,1 +64132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.959821846,1 +64128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.104528476,1 +64134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.792373085,1 +64135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.322108267,1 +64136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,7.391462861,1 +64137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.027999482,1 +64133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.269256504,1 +64138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.132025315,1 +64139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.140232449,1 +64141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.69341024,1 +64143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.570673095,1 +64142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.568533069,1 +64140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.187539237,1 +64144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.741624568,1 +64147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.250740936,1 +64146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.435957118,1 +64150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.743381347,1 +64149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.976760834,1 +64148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.798356244,1 +64145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.024425044,1 +64151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.625137338,1 +64152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.947512221,1 +64154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.563756474,1 +64153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.017438609,1 +64158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.380290906,1 +64157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.733219835,1 +64156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.341969719,1 +64155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.518034894,1 +64159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.935010777,1 +64160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.175447824,1 +64161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.639209336,1 +64163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.631561172,1 +64162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.64132243,1 +64165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.067699679,1 +64167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.870995106,1 +64164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.316688758,1 +64168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.700589773,1 +64169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.434360038,1 +64166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.241620153,1 +64170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.56856311,1 +64171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.866997932,1 +64173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.260424023,1 +64174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.140037425,1 +64175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.209422868,1 +64176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.247648965,1 +64172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.523043955,1 +64177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,7.042815113,1 +64178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.067409761,1 +64179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.025567986,1 +64180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.164916921,1 +64182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.476404487,1 +64181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.509656912,1 +64184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.112132886,1 +64183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.538172319,1 +64185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.772874801,1 +64186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.373897937,1 +64187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.772656557,1 +64188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.682294878,1 +64189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.759612986,1 +64190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.68415384,1 +64192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.206675473,1 +64193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.835623516,1 +64195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.577493212,1 +64191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.002197505,1 +64196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.461596352,1 +64194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.173592765,1 +64198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.872793949,1 +64199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.72563548,1 +64200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.516505828,1 +64201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.999230505,1 +64197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.510058978,1 +64203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.799894745,1 +64204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.765472673,1 +64202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.335476923,1 +64205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.931726383,1 +64207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.695271486,1 +64209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.144683988,1 +64208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.00080474,1 +64206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.58070788,1 +64212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.835568929,1 +64211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.349394976,1 +64213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.409182728,1 +64215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.133976042,1 +64214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.519051303,1 +64210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.304072452,1 +64219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.622358049,1 +64216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.756461046,1 +64218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.738059419,1 +64220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.665470028,1 +64217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.614792489,1 +64222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.571692108,1 +64221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.246813469,1 +64223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.959166195,1 +64224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,1.573514927,1 +64225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,7.312192524,1 +64226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.926492513,1 +64228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.365873948,1 +64229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.971843705,1 +64231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,7.64197832,1 +64227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,7.523578907,1 +64230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.69430502,1 +64232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.75348588,1 +64234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.190137253,1 +64233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.742694106,1 +64237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.440068666,1 +64236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.356281334,1 +64235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.163702001,1 +64238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,7.015382885,1 +64240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,1.589661517,1 +64239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.493028884,1 +64241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.968414947,1 +64242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.472073358,1 +64243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.891229652,1 +64246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.50756667,1 +64245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.962649766,1 +64244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.972671852,1 +64247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.888297005,1 +64250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.927978704,1 +64248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,7.147263489,1 +64251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.041029147,1 +64252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.578851625,1 +64249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.587710535,1 +64253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.98954108,1 +64254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.139126455,1 +64257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.312198143,1 +64255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.036203585,1 +64256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.029021685,1 +64260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.357450117,1 +64258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.978375415,1 +64259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.17815745,1 +64261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.702277939,1 +64264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.696382295,1 +64262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.894728912,1 +64263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.65627669,1 +64265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.978307927,1 +64266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.076954435,1 +64267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.619902097,1 +64268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.911528351,1 +64270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.301084893,1 +64272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.664314591,1 +64271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.25402674,1 +64273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.040136652,1 +64274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.725078359,1 +64275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.706153114,1 +64269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.55623255,1 +64277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.195236298,1 +64278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.093238278,1 +64276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.20662225,1 +64279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.93253729,1 +64280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.572923833,1 +64281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.008338506,1 +64282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.921076617,1 +64283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.001849565,1 +64284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.404456327,1 +64285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.248184539,1 +64286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.601819724,1 +64287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.838246361,1 +64288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.016747902,1 +64289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.00722281,1 +64290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.059079395,1 +64293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.945098255,1 +64294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.713041716,1 +64292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.200527702,1 +64291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.277385327,1 +64296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.066623678,1 +64295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.678761019,1 +64297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.009159802,1 +64298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.594539447,1 +64299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.31696104,1 +64300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.479361368,1 +64301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.754727428,1 +64302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.918892925,1 +64303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.130709999,1 +64304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.701546451,1 +64305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.283472624,1 +64306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.710797939,1 +64308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.019591391,1 +64307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.835599276,1 +64309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.873641194,1 +64310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.220648235,1 +64311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.683036388,1 +64312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.856683812,1 +64313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.137456305,1 +64314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.759382625,1 +64315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.909995054,1 +64316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.777821851,1 +64317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.140465311,1 +64319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.766375636,1 +64320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.412947683,1 +64321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.647614593,1 +64318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.547331536,1 +64322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,1.42914243,1 +64325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.118753307,1 +64323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.472562728,1 +64324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.079258656,1 +64326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.571457012,1 +64327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.882601716,1 +64329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.471704173,1 +64328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.017335065,1 +64330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.574043803,1 +64332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.003684302,1 +64333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,1.944741248,1 +64331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.26115903,1 +64334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.247220587,1 +64335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.500581756,1 +64336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,7.969501861,1 +64338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.523775522,1 +64337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.129907084,1 +64340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.233424323,1 +64339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.150987431,1 +64341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.786730387,1 +64344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.579356455,1 +64345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.491405079,1 +64346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.815360931,1 +64343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.356023531,1 +64347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.837773084,1 +64348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.708417503,1 +64349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.108155788,1 +64342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.757269053,1 +64350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.881968874,1 +64351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.74663008,1 +64352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.907454165,1 +64353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.744920995,1 +64354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.344470891,1 +64355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.740876352,1 +64356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,7.32149604,1 +64357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.241392779,1 +64359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.847190348,1 +64360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.437723275,1 +64362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.658595683,1 +64358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.520656143,1 +64363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.975822904,1 +64364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,7.035238825,1 +64365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.624947999,1 +64366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.695763451,1 +64368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.880571035,1 +64370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.0005836,1 +64361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.574921784,1 +64367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.94980869,1 +64369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.20598957,1 +64373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.499192826,1 +64372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.032371988,1 +64374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.802174697,1 +64371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.903636602,1 +64375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.153220597,1 +64376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.263520785,1 +64377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.102631596,1 +64378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.276509534,1 +64379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.536552744,1 +64381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.404706829,1 +64380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.764963786,1 +64382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.115142761,1 +64383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.006554897,1 +64385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.053812012,1 +64384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.202714364,1 +64387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.902818679,1 +64388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.999954495,1 +64389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.166416394,1 +64386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.269636176,1 +64390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.06132097,1 +64392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.368519245,1 +64391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.444319959,1 +64393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.210789192,1 +64394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.293058174,1 +64395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.337332248,1 +64398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.134816949,1 +64396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.874045473,1 +64397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.152354812,1 +64399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.449149112,1 +64401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.948255571,1 +64402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.314836772,1 +64400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.001563082,1 +64403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.582699315,1 +64404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.360507354,1 +64405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.874772402,1 +64406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.044435926,1 +64407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.247430555,1 +64408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.040701426,1 +64409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.522514421,1 +64411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.691592262,1 +64410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.115586427,1 +64414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.634267304,1 +64412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.816655776,1 +64415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.970694885,1 +64413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.242977024,1 +64417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.223999946,1 +64416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.109867234,1 +64418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.731235058,1 +64419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.053334134,1 +64421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.001660503,1 +64420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.14982898,1 +64423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.89355366,1 +64422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.124497361,1 +64425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.170390859,1 +64424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.435121,1 +64426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.04955991,1 +64427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.634330742,1 +64429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.989790216,1 +64428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.405976143,1 +64431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.558229886,1 +64430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.532671152,1 +64432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.670695727,1 +64433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.487386466,1 +64434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.788111467,1 +64435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.756966578,1 +64436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.557057915,1 +64437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.618192726,1 +64438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.751897937,1 +64440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.226649327,1 +64439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.722608423,1 +64442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.01640054,1 +64443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.055858074,1 +64444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.198821249,1 +64441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.897847064,1 +64446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.975748583,1 +64448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.630862464,1 +64445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.434144599,1 +64449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.377775912,1 +64447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.796783065,1 +64450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.177374715,1 +64451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.891767131,1 +64452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.899992944,1 +64453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.976966323,1 +64455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.302123001,1 +64454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.911641823,1 +64456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,1.673009016,1 +64457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.249547459,1 +64458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.534964822,1 +64461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.403356534,1 +64462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.178265986,1 +64459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.771417894,1 +64460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.400301252,1 +64463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.72826274,1 +64466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.341873863,1 +64465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.292121669,1 +64464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.988205114,1 +64467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.894964852,1 +64468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.409010075,1 +64469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.839238409,1 +64470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.616768304,1 +64471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.787178066,1 +64472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.574047682,1 +64473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.006994505,1 +64474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.475781771,1 +64475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.406804731,1 +64478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.222580342,1 +64476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,7.956647634,1 +64479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.050074226,1 +64477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.495446534,1 +64481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.68804498,1 +64480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.081244322,1 +64482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.247761069,1 +64484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.952193683,1 +64485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.337370152,1 +64483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.51999735,1 +64486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.373367707,1 +64487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.632272078,1 +64488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.233190472,1 +64489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.117427267,1 +64490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.364074211,1 +64492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.199740502,1 +64491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.202712659,1 +64494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.832224742,1 +64495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.712645766,1 +64496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.896573413,1 +64497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.49605206,1 +64498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.698348271,1 +64493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.464783784,1 +64499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.458680319,1 +64500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.378086361,1 +64501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.871791506,1 +64502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.679707481,1 +64504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.501154502,1 +64505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.752057108,1 +64503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.236307331,1 +64506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.593113981,1 +64509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.140034729,1 +64507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.086907749,1 +64508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,1.884302221,1 +64510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.712253592,1 +64511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.585963891,1 +64512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.21085871,1 +64513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.883246161,1 +64514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.006770335,1 +64515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.235272566,1 +64517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.442427616,1 +64518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.903214928,1 +64519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.282740058,1 +64520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,7.017250967,1 +64521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.50032622,1 +64522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,1.668467846,1 +64516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,8.255757796,1 +64523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.072763763,1 +64526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.858878164,1 +64525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.654299665,1 +64524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.102268656,1 +64528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.909649461,1 +64527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.607972374,1 +64529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.757013042,1 +64530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.760181641,1 +64532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.727678304,1 +64531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.873919278,1 +64533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.893791609,1 +64534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.587674314,1 +64535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.449262642,1 +64537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.32902992,1 +64538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.642019479,1 +64536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.541281245,1 +64541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.371827537,1 +64539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.163221202,1 +64540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.738975036,1 +64542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.943908875,1 +64543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.882027468,1 +64544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.302392661,1 +64545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.246776519,1 +64546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.281544901,1 +64547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.611401789,1 +64548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.748579136,1 +64549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.042179135,1 +64551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.23165486,1 +64552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.24375636,1 +64553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.594032825,1 +64554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.367251394,1 +64550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.233452263,1 +64555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.301194255,1 +64556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.771209333,1 +64557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.851404508,1 +64559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.535444495,1 +64558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.912458373,1 +64560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,7.801472708,1 +64561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.119423673,1 +64562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.692939791,1 +64563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.364842148,1 +64564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.21132078,1 +64565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.123627322,1 +64566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.535628316,1 +64568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.090209257,1 +64567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.135297765,1 +64570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.307455646,1 +64569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.427359875,1 +64571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.686992715,1 +64574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.41637408,1 +64573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.79657827,1 +64575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.583994885,1 +64576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.427923792,1 +64577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.92764241,1 +64572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.469332558,1 +64578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.80872889,1 +64579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.47881521,1 +64580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.994416392,1 +64581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.647958899,1 +64582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.602238932,1 +64585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,1.617177095,1 +64584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.056276847,1 +64583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,1.946820396,1 +64586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.868054115,1 +64587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.099434431,1 +64588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.436098898,1 +64589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.973181487,1 +64590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.874065958,1 +64591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.132514342,1 +64592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.561439732,1 +64594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.831667433,1 +64595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.627187408,1 +64596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.422131293,1 +64593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.612593623,1 +64597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.280670617,1 +64598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.426121534,1 +64599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.194640148,1 +64600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.806943218,1 +64601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.634759579,1 +64603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.696131984,1 +64602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.189846253,1 +64605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,1.771237456,1 +64604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.482893577,1 +64606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.545109721,1 +64607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.454593616,1 +64608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.758134381,1 +64609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.359060413,1 +64610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.657521307,1 +64611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.471234683,1 +64612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.514376147,1 +64615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.841252432,1 +64614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.047200062,1 +64616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.626525482,1 +64613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.047221795,1 +64617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.175032481,1 +64618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.215390996,1 +64619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.03252773,1 +64620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.09743775,1 +64621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.020017604,1 +64622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.355863341,1 +64623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.414515942,1 +64625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.489644947,1 +64624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.101480453,1 +64626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.50016265,1 +64627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.936332218,1 +64628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.589490024,1 +64629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.762178454,1 +64630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.096738907,1 +64632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.060840445,1 +64631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.609211219,1 +64634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.230395605,1 +64635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.984427931,1 +64633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,7.961956746,1 +64636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.719536261,1 +64637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.983484788,1 +64638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.547040911,1 +64640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.887036395,1 +64639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.806845366,1 +64642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.364504967,1 +64641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.413605849,1 +64643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.737952402,1 +64644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,7.460676018,1 +64646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.662718523,1 +64645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.377970748,1 +64647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.374248545,1 +64649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.966919475,1 +64650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.63980832,1 +64651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.236353551,1 +64648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.461618376,1 +64653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.298112775,1 +64652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.334025696,1 +64654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.116446111,1 +64655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.428961199,1 +64656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.672071134,1 +64657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.2248042,1 +64658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.305470141,1 +64659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.406794951,1 +64661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.057917063,1 +64660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.214160819,1 +64662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.5068642,1 +64663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.461452804,1 +64664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.148892375,1 +64665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.847654108,1 +64666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.481325662,1 +64668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.826912564,1 +64669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.744137763,1 +64670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.5584233,1 +64671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.468247695,1 +64667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.336689097,1 +64672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.800912513,1 +64673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.111417981,1 +64674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.9891239,1 +64675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.7212701,1 +64676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.490131583,1 +64677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.249863432,1 +64678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.52714555,1 +64679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.051507835,1 +64681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.358729227,1 +64680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.766328764,1 +64682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.17160118,1 +64683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.597262512,1 +64685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.245355982,1 +64684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.578834982,1 +64686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.948934206,1 +64688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.076151661,1 +64690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.478137177,1 +64689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.642965171,1 +64691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.17584124,1 +64687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.09925879,1 +64693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.527561296,1 +64692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.299847914,1 +64695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.823409644,1 +64696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.879383844,1 +64694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.553021049,1 +64697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.21474963,1 +64699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.246574446,1 +64700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.11870471,1 +64701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.762855794,1 +64698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.537209467,1 +64702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.660354987,1 +64703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.455992065,1 +64704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.780124722,1 +64705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.901267373,1 +64707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.212185611,1 +64706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.614459284,1 +64708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.205268741,1 +64709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.875710231,1 +64711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.990681048,1 +64712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,7.117255555,1 +64710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.056067268,1 +64714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.569617756,1 +64715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.219926606,1 +64713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.183070137,1 +64717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.969039872,1 +64718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.541638163,1 +64719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.013317557,1 +64716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.923438102,1 +64720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.278054542,1 +64723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,8.49840642,1 +64722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.4277846,1 +64721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.509013064,1 +64724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.475310171,1 +64725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.767399132,1 +64727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.086890429,1 +64728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.79404816,1 +64730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,7.636542087,1 +64726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.900278696,1 +64731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.28443688,1 +64732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.875391088,1 +64729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.416386465,1 +64733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.70677713,1 +64737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.297841589,1 +64736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.839983415,1 +64734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.038547986,1 +64735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.122895105,1 +64739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.600967202,1 +64738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.446732243,1 +64740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.291194854,1 +64742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.282959886,1 +64741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.229419479,1 +64743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.925293171,1 +64744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.378213491,1 +64746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.257950536,1 +64747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,1.072894321,1 +64748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,7.129146483,1 +64745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.395324601,1 +64749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.621565493,1 +64750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.948677953,1 +64752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.014461197,1 +64753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.205842207,1 +64751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,8.074823045,1 +64755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,7.411071313,1 +64754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.971540113,1 +64756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.617111398,1 +64758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,7.629894292,1 +64757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.808303143,1 +64759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.642743443,1 +64760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.693711305,1 +64761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.974276916,1 +64762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.222458679,1 +64763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.564845184,1 +64764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.354306287,1 +64765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.414245604,1 +64766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.977435166,1 +64768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.929195319,1 +64767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.184943345,1 +64769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.08887678,1 +64771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.623795155,1 +64772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.176351831,1 +64773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.348949977,1 +64770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.775644165,1 +64774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.898716929,1 +64776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.072611589,1 +64775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.634876449,1 +64777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.705584376,1 +64778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.179218336,1 +64779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.169035101,1 +64780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.351044516,1 +64781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.917977615,1 +64784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.728124696,1 +64783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,7.02206475,1 +64782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.712357476,1 +64785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.683229063,1 +64786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.265871917,1 +64787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.727405028,1 +64788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.674135573,1 +64790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,1.914714835,1 +64791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.715642381,1 +64792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.502426869,1 +64789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.244125535,1 +64793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.711778698,1 +64794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.35983231,1 +64795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.781167968,1 +64796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.568714087,1 +64798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.223798079,1 +64797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.680428529,1 +64799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.340452106,1 +64800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.228873152,1 +64801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.787409805,1 +64802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.310721042,1 +64803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.145516491,1 +64804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.341337815,1 +64805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.983796619,1 +64806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.503503063,1 +64807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.734533746,1 +64809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.980010386,1 +64810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.598425152,1 +64811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.762739285,1 +64813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.54536242,1 +64812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.16742984,1 +64808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.528076105,1 +64814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.707249899,1 +64817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.694242622,1 +64816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.69784671,1 +64815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.247669688,1 +64818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.207077683,1 +64819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.897709662,1 +64820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.739468485,1 +64821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.974920769,1 +64822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.116943948,1 +64824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.048410407,1 +64823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.869726958,1 +64825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.663879573,1 +64826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.811670893,1 +64827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.371866933,1 +64829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.785619538,1 +64830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.596633466,1 +64828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.2094602,1 +64831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.35787345,1 +64833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.878748935,1 +64834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.16972566,1 +64832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.969709137,1 +64835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.318439177,1 +64836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.01249143,1 +64839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.889235367,1 +64837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.293272587,1 +64840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.841314375,1 +64838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.752048296,1 +64841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.520051953,1 +64842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.311770178,1 +64844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.746752519,1 +64843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,1.845819295,1 +64845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.171302138,1 +64847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.317445993,1 +64846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.418127265,1 +64848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.825683283,1 +64849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.464105204,1 +64852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.853127598,1 +64850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.984079745,1 +64853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.634837216,1 +64851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.421534113,1 +64854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,7.629159141,1 +64856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.507442938,1 +64857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.830275771,1 +64855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.766846249,1 +64858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.819208001,1 +64861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.753616494,1 +64860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.458212903,1 +64859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.202194301,1 +64862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.671774906,1 +64863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.821576397,1 +64865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.610520423,1 +64866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.226308962,1 +64864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.999201382,1 +64868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.500111869,1 +64869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.613866349,1 +64870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.78259322,1 +64871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.46650386,1 +64867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.999264004,1 +64872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.682392245,1 +64873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.994823608,1 +64875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.733976819,1 +64876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.118692661,1 +64874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.449619613,1 +64878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.766928201,1 +64879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.551393624,1 +64880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.40947259,1 +64881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.019910566,1 +64877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,7.109124988,1 +64882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.969112056,1 +64883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.369644203,1 +64886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.618235366,1 +64887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.030598166,1 +64885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.813092663,1 +64884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.29882174,1 +64890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.553183236,1 +64889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.000395521,1 +64888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.553728293,1 +64891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.555806332,1 +64892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.405287943,1 +64893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.589588013,1 +64894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.205421342,1 +64895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.083346092,1 +64897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.422404677,1 +64898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.666816589,1 +64899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.69504938,1 +64900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.300561339,1 +64901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.745825135,1 +64896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.300201627,1 +64904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.284352972,1 +64905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.812842669,1 +64902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.505304478,1 +64903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.060572779,1 +64907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.244775945,1 +64908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.239500754,1 +64909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.787050067,1 +64906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.776157945,1 +64911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.291669653,1 +64913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.474731929,1 +64912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.138309624,1 +64914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.819792937,1 +64915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.616066614,1 +64916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.12919999,1 +64910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.415501213,1 +64917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.135380157,1 +64918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.381264504,1 +64920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.689436729,1 +64919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.926380767,1 +64921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,1.187879565,1 +64922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.808246997,1 +64923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.864339129,1 +64924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.873379054,1 +64925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.526831108,1 +64926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.405222562,1 +64927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.64350249,1 +64928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.587463204,1 +64929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.786900495,1 +64930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,1.27425254,1 +64934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.389047235,1 +64933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.142716334,1 +64932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.130826125,1 +64931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.829521193,1 +64936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.102289907,1 +64935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.980266701,1 +64937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.967186781,1 +64938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.121729222,1 +64939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.561432365,1 +64940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.54831595,1 +64941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.831701949,1 +64942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.775971168,1 +64943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.468755371,1 +64944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.345243025,1 +64945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.766189065,1 +64947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.228544898,1 +64946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.637986339,1 +64949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.170608186,1 +64948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.559161536,1 +64952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.003595822,1 +64953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.805584511,1 +64950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.447176799,1 +64951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.650603102,1 +64954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.42816736,1 +64955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.807564653,1 +64956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.212692506,1 +64957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.766614175,1 +64958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.499724233,1 +64959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.062731531,1 +64960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.896109088,1 +64961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.772750196,1 +64962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.798953607,1 +64963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.130723951,1 +64964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.951790642,1 +64966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.377691842,1 +64965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.371619042,1 +64967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.472698793,1 +64968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.467403777,1 +64969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.439100126,1 +64972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.394299892,1 +64971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.007810249,1 +64973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.163801334,1 +64974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.151381844,1 +64975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.519153172,1 +64970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.536819077,1 +64976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.600220928,1 +64977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.40342937,1 +64978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,6.838475975,1 +64979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,1.9308191,1 +64982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.817668058,1 +64981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.050260825,1 +64980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.328380782,1 +64983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.975406856,1 +64984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,1.728299225,1 +64985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.214804449,1 +64986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,7.427122823,1 +64988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.465343447,1 +64989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.945790682,1 +64990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.003671891,1 +64992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.817226857,1 +64987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,1.880187683,1 +64991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.262246126,1 +64993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.214370734,1 +64997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.914103527,1 +64995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.78572338,1 +64996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.408552102,1 +64994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,4.313338305,1 +64999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,3.68627959,1 +64998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,2.822087539,1 +65000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,5,1,5.289020863,1 +74001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.068164964,1 +74002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.005357455,1 +74004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.003855323,1 +74003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.374133146,1 +74005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.29995897,1 +74006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.394078071,1 +74007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.285945256,1 +74008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.76018583,1 +74009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.852159021,1 +74012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.240039874,1 +74011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.782005485,1 +74013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.049494983,1 +74014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.753910707,1 +74015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.898601133,1 +74010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.116583655,1 +74016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.395825452,1 +74018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.204687345,1 +74019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.565697141,1 +74017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.555330262,1 +74020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.374634955,1 +74021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.497258406,1 +74023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.937508958,1 +74024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.409743741,1 +74022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.948754038,1 +74025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.719168227,1 +74026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.805942852,1 +74027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.751312136,1 +74029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.644579114,1 +74031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.992081976,1 +74030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.887976661,1 +74028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.235786963,1 +74032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.624336872,1 +74035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,1.98339648,1 +74034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.709139888,1 +74033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.624546959,1 +74036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.352176096,1 +74038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.819870036,1 +74037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.847673341,1 +74039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.879853411,1 +74040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.575001262,1 +74041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.117815276,1 +74043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.248272119,1 +74044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.737243421,1 +74045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.954910245,1 +74046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.451971234,1 +74042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.566869558,1 +74047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.802521871,1 +74049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.044310324,1 +74048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.842962117,1 +74050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.974388385,1 +74051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.837028229,1 +74052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.752988414,1 +74053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.929331642,1 +74055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.351617662,1 +74054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.679185968,1 +74056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.684797949,1 +74057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.762650615,1 +74058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.628709016,1 +74060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.050742526,1 +74059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.28703143,1 +74061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.258239789,1 +74062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.900597862,1 +74063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.169276547,1 +74065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.603176345,1 +74064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.90290422,1 +74066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.331091667,1 +74067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.710098023,1 +74068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.441362822,1 +74070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.91669694,1 +74071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.183383543,1 +74069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.931540761,1 +74072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.911220012,1 +74073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.706007294,1 +74074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.315294372,1 +74075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.247018444,1 +74078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.525545249,1 +74076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.564886917,1 +74077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.071875591,1 +74079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.675544226,1 +74081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.531894673,1 +74082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.079719064,1 +74080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.130958325,1 +74083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.508721452,1 +74085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.549865848,1 +74084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.250179981,1 +74086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.906899586,1 +74087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.949240767,1 +74088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.619603047,1 +74089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.33439826,1 +74090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.026588173,1 +74091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.5987468,1 +74092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.895798097,1 +74093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.149142632,1 +74094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,8.764504229,1 +74095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.345612556,1 +74097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.960115722,1 +74096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.463160243,1 +74098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.593698023,1 +74099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.61906737,1 +74101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.001791376,1 +74100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.101247383,1 +74102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.599806588,1 +74103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.054625775,1 +74104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.493534558,1 +74105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.591726434,1 +74106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.646428578,1 +74108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.06010199,1 +74109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.376924153,1 +74107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.066199544,1 +74110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.828788096,1 +74111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.761937888,1 +74112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.068986503,1 +74114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.324847115,1 +74113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.930338989,1 +74115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.919553728,1 +74116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.21985059,1 +74117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.016706624,1 +74118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.685622569,1 +74119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.713968539,1 +74120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.698869158,1 +74121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.126958499,1 +74124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.826328962,1 +74122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.54156551,1 +74123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.291698237,1 +74125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.695050411,1 +74126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,7.040975536,1 +74128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,7.130789051,1 +74127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.513180165,1 +74129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.556391891,1 +74131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.061064137,1 +74130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.808133579,1 +74133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.994509976,1 +74134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.546178651,1 +74135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.229933748,1 +74136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.453772256,1 +74132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.021891939,1 +74137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.40585854,1 +74138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.046207065,1 +74139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.385492249,1 +74140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.298102966,1 +74141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.841322148,1 +74142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.539082246,1 +74144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.707844901,1 +74143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.7633287,1 +74145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.757974938,1 +74146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.436388674,1 +74148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.201307382,1 +74149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.339936742,1 +74150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.132924469,1 +74151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.138798964,1 +74147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.683786466,1 +74152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.278545631,1 +74153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.311030053,1 +74154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.78938176,1 +74155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.329385578,1 +74156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.315301789,1 +74157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.835848224,1 +74159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.052342159,1 +74158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.116794972,1 +74160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.578697332,1 +74161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.151673377,1 +74163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.758313746,1 +74162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.180413037,1 +74164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.125702651,1 +74165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.330739346,1 +74166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.828186237,1 +74168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.565565325,1 +74169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.66211142,1 +74170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.486298328,1 +74171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,7.972036383,1 +74167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.393898176,1 +74172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.515674841,1 +74173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.836764574,1 +74174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.966406098,1 +74175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.598532012,1 +74176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.368026871,1 +74178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.660763655,1 +74177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.13521536,1 +74179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.244208929,1 +74180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.580186178,1 +74181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.512293055,1 +74182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.283663288,1 +74183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.801421738,1 +74184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.197236498,1 +74186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.799028999,1 +74185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,7.418117828,1 +74188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.373514358,1 +74189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.080045264,1 +74190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.612668084,1 +74187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.406786229,1 +74191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.201907476,1 +74192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.982376184,1 +74194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.722474011,1 +74193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.983374878,1 +74195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.451866442,1 +74196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.747324608,1 +74198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.480061803,1 +74197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.413572254,1 +74199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.703095549,1 +74201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.035708172,1 +74200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.112301602,1 +74202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.421072921,1 +74203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.989075071,1 +74204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.813333026,1 +74205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.683773953,1 +74206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,1.896602997,1 +74207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.694323383,1 +74209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.707937026,1 +74208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.772972129,1 +74211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.808436666,1 +74213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.265248228,1 +74210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.510834604,1 +74212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.837359103,1 +74214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.986029416,1 +74216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.921045918,1 +74215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.48711947,1 +74217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.072521756,1 +74218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.550402082,1 +74220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.66815393,1 +74219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.179301121,1 +74221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.536098058,1 +74222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.036761441,1 +74223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.013613769,1 +74225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.477320229,1 +74224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.508884575,1 +74226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.099897473,1 +74227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.430375686,1 +74228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.102509073,1 +74229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.598628354,1 +74230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.4221095,1 +74231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.91046804,1 +74232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.558458792,1 +74233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.743569978,1 +74234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.055498541,1 +74236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.601912911,1 +74235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.530798471,1 +74238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.786046039,1 +74240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.711334943,1 +74239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.775407423,1 +74237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.705845343,1 +74242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.950409221,1 +74241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.703902531,1 +74244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.857879903,1 +74246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,8.034850021,1 +74245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.965650877,1 +74243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.653842561,1 +74247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,1.400126951,1 +74249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.697131104,1 +74248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.587044387,1 +74250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.332813753,1 +74251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.848869177,1 +74253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.78777793,1 +74252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.088532987,1 +74254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.352708441,1 +74256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.290525977,1 +74257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.482802858,1 +74255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.531014413,1 +74259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.886355561,1 +74260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.031460797,1 +74258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.318661144,1 +74261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.750129674,1 +74262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.947170678,1 +74263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.217940098,1 +74264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.305536337,1 +74265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.288126868,1 +74266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.674064695,1 +74267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.100500588,1 +74268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.515850722,1 +74270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,7.432611826,1 +74271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.9860596,1 +74272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.902829564,1 +74269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.02621304,1 +74273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.846964309,1 +74274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,7.065174176,1 +74277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.610602223,1 +74276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.981796924,1 +74278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.992857737,1 +74275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.954684563,1 +74280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.0586075,1 +74282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.041760025,1 +74279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.352767141,1 +74281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.599138174,1 +74284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.461973781,1 +74285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.415007821,1 +74283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.66322717,1 +74286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.482310085,1 +74287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.386352026,1 +74288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.236727101,1 +74290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.528985798,1 +74292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.31947933,1 +74293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.29924456,1 +74289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,1.688503091,1 +74291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.003800567,1 +74296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.557315902,1 +74295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.805281005,1 +74294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.310732738,1 +74297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.821001965,1 +74298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.672110762,1 +74300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.551675806,1 +74299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.263862661,1 +74301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.318248073,1 +74302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.588992547,1 +74303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.227668495,1 +74304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.277619186,1 +74305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.243421981,1 +74308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,8.710397922,1 +74309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.817825647,1 +74307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.360335611,1 +74306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.207727411,1 +74310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.110259484,1 +74313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.090949417,1 +74312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.404667571,1 +74311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.512725489,1 +74314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.416709766,1 +74316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.804055817,1 +74317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.707455036,1 +74315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.852745473,1 +74318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.96864168,1 +74319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.606057737,1 +74320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.611356637,1 +74321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.753022445,1 +74323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.670232893,1 +74322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.746893842,1 +74324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.085616198,1 +74326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.425074753,1 +74325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.066567757,1 +74327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.060246644,1 +74328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,1.728828,1 +74329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.93776566,1 +74330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.651483631,1 +74331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.809717447,1 +74332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.909850687,1 +74334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.320359662,1 +74333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.782689925,1 +74335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.157873518,1 +74336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.904152963,1 +74337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.253604035,1 +74338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.484506301,1 +74339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.0906346,1 +74340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.692231323,1 +74341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,7.595409225,1 +74343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.313444862,1 +74344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.318803924,1 +74342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.48358085,1 +74345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.934310148,1 +74346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.274876667,1 +74347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.667009612,1 +74348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.824873444,1 +74349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.125456723,1 +74350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.285014602,1 +74351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.877770673,1 +74352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.604071133,1 +74353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.469446764,1 +74354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.270132615,1 +74355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.209172414,1 +74356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,8.124211775,1 +74357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.194162638,1 +74358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.537489239,1 +74359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.579417931,1 +74361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.349339717,1 +74360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.117216513,1 +74363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.586343573,1 +74362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.495609707,1 +74364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.594998488,1 +74365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.710348584,1 +74367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.209922914,1 +74366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.002723964,1 +74368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.004328585,1 +74369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.795217076,1 +74370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.310927104,1 +74371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.555628692,1 +74372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.087693711,1 +74375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.472291562,1 +74374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.840808268,1 +74376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.17700011,1 +74377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.818708032,1 +74378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.095596698,1 +74373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.60392097,1 +74379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.635579627,1 +74380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.193399966,1 +74381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.388862733,1 +74383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.687684702,1 +74384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.056322358,1 +74382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.011891186,1 +74385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.250982967,1 +74386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.112936347,1 +74387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.840789367,1 +74390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.630237359,1 +74388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.963634871,1 +74389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.527842555,1 +74391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.659275963,1 +74392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.680600171,1 +74394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.188244455,1 +74393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.460809635,1 +74395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.298877097,1 +74396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.700269005,1 +74397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.211074778,1 +74399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.195421513,1 +74401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.586336195,1 +74400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.890424477,1 +74398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.834622723,1 +74402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.801895117,1 +74403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.339840978,1 +74404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.629792467,1 +74405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.632615367,1 +74407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.312978203,1 +74406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.056230916,1 +74408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.842337638,1 +74409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.234221449,1 +74410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.25281548,1 +74412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.017229888,1 +74413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.8801245,1 +74411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.645418954,1 +74414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.488625801,1 +74415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.728895665,1 +74417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.618902801,1 +74418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.328186978,1 +74420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.136304978,1 +74419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.829049532,1 +74416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.922158396,1 +74421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.706564231,1 +74423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.609361917,1 +74424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.124570072,1 +74425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.2398641,1 +74422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.299939462,1 +74426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.703876706,1 +74427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.824145852,1 +74428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.453181376,1 +74430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.256091248,1 +74429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.650323446,1 +74432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.446019216,1 +74431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.81076325,1 +74434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.21355856,1 +74433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.178606636,1 +74435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.332040289,1 +74437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.003240124,1 +74436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.094120521,1 +74438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.582920216,1 +74439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.662504525,1 +74440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.46384133,1 +74441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.035501196,1 +74442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.230969574,1 +74443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.11314181,1 +74446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.060205844,1 +74445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.323032797,1 +74444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.965204296,1 +74448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.875908582,1 +74447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.146599418,1 +74450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.857193283,1 +74451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.463998085,1 +74452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.52091071,1 +74449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.256341606,1 +74453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.399310833,1 +74455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.091636632,1 +74454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.180579606,1 +74456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.434359883,1 +74457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.151378366,1 +74459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.584376791,1 +74458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.969862546,1 +74460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.435922442,1 +74462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.392746932,1 +74463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.680615779,1 +74464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.050873635,1 +74461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.016099908,1 +74465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.7652215,1 +74466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.052407987,1 +74467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.466486294,1 +74468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.170593475,1 +74469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.574079148,1 +74470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.630126204,1 +74471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.535531351,1 +74472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.103301532,1 +74474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.386891513,1 +74473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.60538259,1 +74475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.112234276,1 +74476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.990677304,1 +74477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.819219889,1 +74478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.179188867,1 +74479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.720478569,1 +74480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.68132948,1 +74481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.972079009,1 +74482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.359704065,1 +74484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.419569972,1 +74485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.199960419,1 +74486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.470308423,1 +74483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.28887072,1 +74487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.148372913,1 +74488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.087585782,1 +74489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,7.084690781,1 +74490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.38628144,1 +74492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.562283815,1 +74491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.121026708,1 +74493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.293630563,1 +74496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.953092141,1 +74495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.781068133,1 +74497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.345828884,1 +74494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.606156572,1 +74500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.698829995,1 +74498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.102821161,1 +74499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.144411827,1 +74501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.714451023,1 +74504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.406475189,1 +74502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.13326001,1 +74505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.203852012,1 +74506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.856400376,1 +74507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.450093664,1 +74508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.951360437,1 +74503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.57407467,1 +74510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.645152982,1 +74511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.321332535,1 +74509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.563306737,1 +74512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.263927462,1 +74513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.636673314,1 +74515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.524124423,1 +74514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.241669717,1 +74516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.762572894,1 +74517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.042980804,1 +74519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,7.401018301,1 +74518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.729503,1 +74520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.051667924,1 +74521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.501289449,1 +74522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.79697644,1 +74523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.191744961,1 +74524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.247293848,1 +74527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.580208367,1 +74526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.192809444,1 +74528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.233805368,1 +74529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.063510699,1 +74525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.825221789,1 +74530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.885103966,1 +74531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.883373258,1 +74532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.87135357,1 +74533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.132239666,1 +74534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.268339453,1 +74535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.049251538,1 +74536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.356871007,1 +74537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.230618138,1 +74538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.06865103,1 +74539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.224517149,1 +74540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.590561547,1 +74542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.271734826,1 +74543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.980253827,1 +74544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.022456729,1 +74541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.35844441,1 +74545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.660195544,1 +74546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.631943253,1 +74548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.81792775,1 +74547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.439084448,1 +74549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.356281166,1 +74550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.872645585,1 +74552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.376069518,1 +74551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.683943771,1 +74553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.054953508,1 +74554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.967670068,1 +74556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.584959607,1 +74555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.465575226,1 +74557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.246011153,1 +74558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.450738832,1 +74559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.709230301,1 +74562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.77976524,1 +74561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.853780819,1 +74560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.646351963,1 +74563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.119574382,1 +74565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.773237877,1 +74564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.20769602,1 +74567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.412707037,1 +74566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.251813425,1 +74568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.04561005,1 +74569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.141623612,1 +74570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.259971356,1 +74571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.518179418,1 +74572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.274627573,1 +74573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.820650107,1 +74575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,7.441303609,1 +74576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.017493289,1 +74574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.424620427,1 +74577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.956803672,1 +74578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.046038534,1 +74579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.522418116,1 +74580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.593503889,1 +74581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.701630828,1 +74583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.156248719,1 +74584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.635769198,1 +74585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.174975306,1 +74582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.434968399,1 +74586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.929908522,1 +74588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.98835679,1 +74587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.900412091,1 +74589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.690644301,1 +74590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.327923537,1 +74591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.820938221,1 +74592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,7.756720722,1 +74593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.317581088,1 +74594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.154186414,1 +74595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.994286909,1 +74596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.37334016,1 +74597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.146038797,1 +74598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.072605465,1 +74599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,7.117615295,1 +74600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.725811896,1 +74602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.245815046,1 +74603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,1.656337614,1 +74601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.113122072,1 +74604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.669773952,1 +74605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.119053107,1 +74606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.16660466,1 +74607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.84243744,1 +74608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.323952295,1 +74609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.49449785,1 +74610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.26021681,1 +74611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.870937821,1 +74613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.229546754,1 +74614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.019618807,1 +74612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.443324087,1 +74615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.808251688,1 +74616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.500605089,1 +74618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.60861729,1 +74617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.349732557,1 +74620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.623336013,1 +74619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.657530442,1 +74621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.988387272,1 +74622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.98326676,1 +74624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.952183997,1 +74623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.9499168,1 +74625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.948072049,1 +74626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.178483699,1 +74628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.905455394,1 +74627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.2901518,1 +74630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.217955028,1 +74629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.914589181,1 +74631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.385537722,1 +74632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.981401244,1 +74634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.306981905,1 +74633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.348434395,1 +74636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,8.227480104,1 +74635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.568161659,1 +74638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.944960899,1 +74639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,7.492319057,1 +74640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.647204285,1 +74641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.13846523,1 +74642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.91061017,1 +74643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.790590432,1 +74637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.075090592,1 +74644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.671484594,1 +74645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.066018534,1 +74646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.094637234,1 +74647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,7.067191104,1 +74648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.806151148,1 +74650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.205469171,1 +74649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.522888934,1 +74651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.507827989,1 +74653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.388525063,1 +74652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.773465727,1 +74654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.673323506,1 +74656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.244070602,1 +74657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.195360973,1 +74658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.495257385,1 +74659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.485079109,1 +74660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.14026862,1 +74661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.014988382,1 +74655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.135271071,1 +74663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.695916402,1 +74662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.730210369,1 +74665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.494976113,1 +74664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.122206857,1 +74666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.64916026,1 +74667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.233797308,1 +74668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.084814816,1 +74669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.332891226,1 +74670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.606332163,1 +74671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.966813394,1 +74672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.437017873,1 +74673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.069525725,1 +74674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.725065313,1 +74675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.42173302,1 +74677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.114715046,1 +74679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.370185366,1 +74678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.378201989,1 +74676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.403861363,1 +74680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.266154354,1 +74682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.43736041,1 +74683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.423052352,1 +74681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,7.232400319,1 +74684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.191913829,1 +74685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.576639171,1 +74686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.021384945,1 +74687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.158949923,1 +74688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.718679428,1 +74689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.633189966,1 +74691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.978557187,1 +74690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.411831909,1 +74692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.796790899,1 +74693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.29159114,1 +74694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,7.568958759,1 +74696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.742420761,1 +74695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.718337085,1 +74697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.095178067,1 +74698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.278838204,1 +74700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.879099671,1 +74701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.150778887,1 +74702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.4456873,1 +74704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.927976043,1 +74699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.679747052,1 +74703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.633100778,1 +74705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,7.802237857,1 +74706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.751593598,1 +74709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.831715769,1 +74708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.789352009,1 +74707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.529966239,1 +74713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.651726083,1 +74710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.614717573,1 +74711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.869606828,1 +74712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.595279635,1 +74714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,7.044035018,1 +74715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.732846931,1 +74716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.77792469,1 +74717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.574394197,1 +74719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.349820433,1 +74720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.701118583,1 +74721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.82322637,1 +74722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.088918658,1 +74718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.134443142,1 +74723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.012110321,1 +74724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.448698146,1 +74726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.216457168,1 +74725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.866871018,1 +74727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.84205143,1 +74729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.029915333,1 +74728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.230050548,1 +74730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.383983528,1 +74731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.503554402,1 +74732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.141733095,1 +74733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.823762628,1 +74734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.83344861,1 +74735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.108195395,1 +74737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.466082102,1 +74738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.826709203,1 +74739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.665290213,1 +74736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.031369804,1 +74740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.162958279,1 +74741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.667500931,1 +74743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.921596195,1 +74742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.703475197,1 +74745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.779767766,1 +74746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.982288797,1 +74747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.570145079,1 +74748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.450254285,1 +74749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.68505666,1 +74750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.439050581,1 +74744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.586787215,1 +74751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.020745836,1 +74753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.813677868,1 +74752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.686984543,1 +74754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.740552073,1 +74755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.710398097,1 +74757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.967136709,1 +74756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.463876161,1 +74758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.640491763,1 +74759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.854053038,1 +74760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,8.003168036,1 +74761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.777176629,1 +74763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.937259589,1 +74764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,7.597049997,1 +74765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.459801041,1 +74766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.501566524,1 +74767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.185343133,1 +74762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.837681344,1 +74768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.606886053,1 +74769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.385284167,1 +74771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.59582906,1 +74770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.226031243,1 +74772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.089459786,1 +74774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.250085053,1 +74775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.613608534,1 +74773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.62171853,1 +74776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.072945809,1 +74778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.950227048,1 +74779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.339429186,1 +74777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.099614678,1 +74780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.419777168,1 +74781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.072293651,1 +74782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.38239028,1 +74784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.743445626,1 +74783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.621812761,1 +74786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.277753019,1 +74785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.232875422,1 +74788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.651048692,1 +74787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.521326386,1 +74790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.784904028,1 +74789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.834915271,1 +74791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.910055723,1 +74792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.061296098,1 +74793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.978726503,1 +74794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.156128332,1 +74795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.474491557,1 +74797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.150806439,1 +74796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.071667188,1 +74798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.970526606,1 +74801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.042163179,1 +74802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.458562647,1 +74799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.158696664,1 +74800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.273880113,1 +74805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.705056864,1 +74803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.717812457,1 +74804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.868030735,1 +74806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.50950528,1 +74808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.558354933,1 +74809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.30343928,1 +74810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,7.044445838,1 +74807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.073930184,1 +74811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.458112844,1 +74812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.080725129,1 +74813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.347721949,1 +74815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.304609358,1 +74816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,7.183343387,1 +74814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.950975387,1 +74817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.364213438,1 +74819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.792023542,1 +74820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.060736818,1 +74818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.818005437,1 +74821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.58751312,1 +74822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.733187889,1 +74825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.628404065,1 +74824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.502043465,1 +74823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.129533356,1 +74826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.872433031,1 +74827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.776299524,1 +74828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.402392866,1 +74829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.746574064,1 +74830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.342241984,1 +74831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.069853433,1 +74832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,7.235022854,1 +74833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.430768648,1 +74835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.117127542,1 +74834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.263706065,1 +74837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.375218361,1 +74838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.986379773,1 +74839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.40450582,1 +74836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.947353263,1 +74840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.89576322,1 +74841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.857700572,1 +74842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.904093967,1 +74843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.798919878,1 +74844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.236355854,1 +74845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.3969177,1 +74846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.502557776,1 +74847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.76421599,1 +74848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.220715174,1 +74849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.490197337,1 +74850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.529137307,1 +74851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.856895468,1 +74853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.485334817,1 +74852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.495275984,1 +74854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.126493069,1 +74855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.391796654,1 +74856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.383537789,1 +74857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.847350973,1 +74858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,1.929771612,1 +74860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.95462449,1 +74862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.729668674,1 +74861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.984935009,1 +74859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.910642164,1 +74863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.766603367,1 +74866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.699072982,1 +74864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.282724668,1 +74865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.624275103,1 +74867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.650763877,1 +74868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.05798993,1 +74869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.675902832,1 +74870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.93308752,1 +74871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.004098666,1 +74873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.067620507,1 +74874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.913554177,1 +74875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.839049824,1 +74872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.148431131,1 +74876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.123130716,1 +74877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.462342423,1 +74879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.390136263,1 +74878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.646059536,1 +74880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.693429428,1 +74882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.611438581,1 +74883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.870026415,1 +74881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.534371288,1 +74884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.607354865,1 +74885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.334677769,1 +74886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.980304505,1 +74887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.533390916,1 +74888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.49884841,1 +74889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.057185535,1 +74890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.086671778,1 +74891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.835357285,1 +74892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.475732523,1 +74894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.668974371,1 +74896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.773934924,1 +74895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.683438754,1 +74893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.850026044,1 +74898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.877625509,1 +74897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.107923057,1 +74899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.738857071,1 +74900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.675928316,1 +74901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.295769623,1 +74902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,7.067479914,1 +74903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.022888571,1 +74904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.674627704,1 +74905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.699896306,1 +74906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.311576628,1 +74908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.398568308,1 +74907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.386307099,1 +74909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.737127964,1 +74910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.053529366,1 +74911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.551184952,1 +74912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.562195203,1 +74913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.4565232,1 +74914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.372876689,1 +74915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.479255831,1 +74916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.038818369,1 +74917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.033373207,1 +74918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.365861769,1 +74919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.815441751,1 +74921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.488612293,1 +74920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.25103576,1 +74922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.956606677,1 +74923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.424889001,1 +74924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.126918504,1 +74925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.435748074,1 +74926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.81090182,1 +74929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.924247399,1 +74928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.74810083,1 +74927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.326857718,1 +74932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.92871734,1 +74931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.342951829,1 +74933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.958735421,1 +74934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.319886504,1 +74930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.505825799,1 +74935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.179084007,1 +74936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.839266339,1 +74937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.290464955,1 +74939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.414944991,1 +74938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.414550589,1 +74940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.540669647,1 +74943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.118722944,1 +74941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.903920452,1 +74944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.062193526,1 +74942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.371484756,1 +74945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.195273751,1 +74946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.653316104,1 +74947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.867284563,1 +74948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.567339216,1 +74950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.254997565,1 +74951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.25643857,1 +74952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.989804884,1 +74949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.426084236,1 +74953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.556301537,1 +74954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.648429857,1 +74956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.071534221,1 +74957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,7.521428263,1 +74955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.829260483,1 +74958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.63533385,1 +74959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.76688531,1 +74960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.665630544,1 +74961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.575210647,1 +74963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.835774758,1 +74964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.428429374,1 +74962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.885845112,1 +74965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.946637505,1 +74967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.694398173,1 +74968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.253772639,1 +74969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.235272208,1 +74971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.184934195,1 +74966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.306169109,1 +74970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.031043449,1 +74974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.638881637,1 +74973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.645831014,1 +74972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.386990879,1 +74975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.357298799,1 +74977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.935605098,1 +74976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.112693713,1 +74978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.448840061,1 +74979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.238157651,1 +74980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.287460461,1 +74981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.556467678,1 +74982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.794356559,1 +74983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.371277125,1 +74984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.09501106,1 +74987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.155144514,1 +74986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.58127091,1 +74985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.558219352,1 +74988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.295315879,1 +74990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.504829729,1 +74989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.739992291,1 +74991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.677155231,1 +74992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.763197768,1 +74994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,6.462729842,1 +74995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.773255362,1 +74993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,3.870351583,1 +74996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.044038044,1 +74997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,2.433751989,1 +74998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.339804273,1 +74999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,4.3729278,1 +75000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,5,1,5.053016295,1 +84002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.288116518,1 +84003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.364696019,1 +84001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.914925206,1 +84004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.343108649,1 +84005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.38882379,1 +84007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.434679706,1 +84006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.460678708,1 +84008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.375329771,1 +84009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.711849906,1 +84010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.292689815,1 +84011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,7.448933197,1 +84012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.842167366,1 +84014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.836461034,1 +84013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.589031689,1 +84015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.776700966,1 +84018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.03224065,1 +84017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.035302257,1 +84019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.188314746,1 +84020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.353826736,1 +84021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.836369984,1 +84022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.723905101,1 +84023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.153757325,1 +84024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.957089344,1 +84016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.149717184,1 +84025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.35775707,1 +84026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.882923749,1 +84028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.203339781,1 +84027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.994453117,1 +84029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.296230188,1 +84030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.260207907,1 +84031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.724324507,1 +84032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.863507388,1 +84034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.145202607,1 +84033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.943734323,1 +84035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.079714379,1 +84036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.584787294,1 +84037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.856618993,1 +84039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.419908701,1 +84040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.036273188,1 +84041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.739141904,1 +84038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.609327704,1 +84043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.632150496,1 +84042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.780479662,1 +84046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.293102459,1 +84044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.792912073,1 +84045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.264047195,1 +84047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.01566788,1 +84049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.952581999,1 +84050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.877235259,1 +84048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.273485015,1 +84051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.697155707,1 +84052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.019467158,1 +84053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.420148611,1 +84055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.73688233,1 +84056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.481759433,1 +84054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.919989494,1 +84060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.463770196,1 +84059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.141614544,1 +84058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.652370347,1 +84057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.001307599,1 +84061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.098500496,1 +84062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.812047077,1 +84063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.761030648,1 +84064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.503525276,1 +84066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.292814471,1 +84067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.451356852,1 +84065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.662797831,1 +84068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.069456003,1 +84069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.457124774,1 +84070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.768393141,1 +84071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.45415298,1 +84073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,7.213969302,1 +84072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.823966734,1 +84075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.794675562,1 +84074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.516332158,1 +84076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.341139481,1 +84077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.075257918,1 +84078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.706174854,1 +84079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.164338031,1 +84080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.305890587,1 +84081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.579691943,1 +84083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.748425387,1 +84084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.434107924,1 +84082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.64750891,1 +84085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.125516953,1 +84086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.757843716,1 +84088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.242036599,1 +84087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.667391714,1 +84090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.151190213,1 +84089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.103296104,1 +84091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.467685629,1 +84092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.598948144,1 +84093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.311889724,1 +84095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.177705064,1 +84094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.477262654,1 +84096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.930145742,1 +84097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.371749541,1 +84098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.079852862,1 +84099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.416763694,1 +84100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.139834849,1 +84101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.381288552,1 +84103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.902442031,1 +84102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.981081967,1 +84104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.034326797,1 +84105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.457160417,1 +84107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.404872456,1 +84106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.401645126,1 +84108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.207112475,1 +84109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.890923877,1 +84110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.083289498,1 +84111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.335795721,1 +84112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.163595184,1 +84113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.15516681,1 +84114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.032011346,1 +84115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.835859806,1 +84116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.209055669,1 +84117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.797889913,1 +84119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.015903363,1 +84118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.114676269,1 +84121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.642478991,1 +84120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.31370931,1 +84123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.403059841,1 +84122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.104995272,1 +84124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.763281977,1 +84125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.13155968,1 +84126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.894840514,1 +84127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.829268165,1 +84128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.021854201,1 +84129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.132265633,1 +84130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.792305882,1 +84131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.647430811,1 +84132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.775537659,1 +84133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.216448411,1 +84136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.037668223,1 +84134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.541834904,1 +84137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.924811502,1 +84135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.002144068,1 +84138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.738540804,1 +84139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.970734505,1 +84140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.491044085,1 +84141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.129417435,1 +84142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.741675611,1 +84143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.52198649,1 +84144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.93949317,1 +84145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.561486663,1 +84146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.695593368,1 +84148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.727577365,1 +84147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.898541865,1 +84149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.983544486,1 +84150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.896699224,1 +84151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.373776957,1 +84152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.179163113,1 +84155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.674832975,1 +84156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.765430666,1 +84154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.224907916,1 +84153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.077898031,1 +84157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.813348698,1 +84158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.936610963,1 +84159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.791388913,1 +84163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.531765343,1 +84161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.510278161,1 +84162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.21995621,1 +84160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.874218213,1 +84165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.443795662,1 +84164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.083633209,1 +84166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.997436188,1 +84167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.06208381,1 +84168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.821462965,1 +84169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.617997762,1 +84170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.483608373,1 +84171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.272153034,1 +84172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.981337699,1 +84173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.605140522,1 +84174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.522372507,1 +84176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.724528198,1 +84177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.961355774,1 +84178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.475243787,1 +84180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.138116806,1 +84175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.405779913,1 +84181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.721657254,1 +84179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.180440288,1 +84183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.156889729,1 +84182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.752871346,1 +84185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.715106721,1 +84184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.382127966,1 +84187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.416540995,1 +84186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.809334457,1 +84188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.277027579,1 +84189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.112247265,1 +84190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.951653293,1 +84192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.287902099,1 +84193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.926489364,1 +84194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.159474963,1 +84195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.395233898,1 +84191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.065258299,1 +84196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.541565515,1 +84197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.922453531,1 +84199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.768316168,1 +84198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.030372723,1 +84200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.106398258,1 +84201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.322529875,1 +84203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,1.890807451,1 +84202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.693822947,1 +84204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.904456377,1 +84205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.272004459,1 +84207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.036515061,1 +84206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.220780536,1 +84208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.160007312,1 +84209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.790291252,1 +84212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.124672422,1 +84211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.773389659,1 +84210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.378171599,1 +84213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.463227604,1 +84214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.954491766,1 +84215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.72087661,1 +84217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.448099375,1 +84216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.418433362,1 +84218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.20576854,1 +84219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.875562681,1 +84220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.489760648,1 +84221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.786468426,1 +84222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.441841291,1 +84223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.3813028,1 +84224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.502216433,1 +84225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.52482972,1 +84226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.70319975,1 +84227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.363453545,1 +84228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.820641342,1 +84230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.377597577,1 +84231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.36491306,1 +84229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.441079817,1 +84232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.29346332,1 +84233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.779659982,1 +84234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.696235826,1 +84235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.525181205,1 +84236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.109192549,1 +84237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.591743173,1 +84238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.101254784,1 +84239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.011807656,1 +84240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.513929807,1 +84241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.912297964,1 +84242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.574384462,1 +84244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.605283246,1 +84246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.879597294,1 +84245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.033128455,1 +84247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.838530431,1 +84249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.349882912,1 +84248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.805998846,1 +84243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.170942338,1 +84250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.151115636,1 +84252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.263715927,1 +84251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.296456322,1 +84254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.705251594,1 +84255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.269677334,1 +84253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.722284953,1 +84256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.2561262,1 +84257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.954228527,1 +84259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.866538824,1 +84260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.233411328,1 +84258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.167434543,1 +84261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.999957604,1 +84262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.248391757,1 +84263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.053862546,1 +84264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.942293192,1 +84265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.574627925,1 +84267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.562287582,1 +84268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.237749743,1 +84269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.804944564,1 +84270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.522547992,1 +84271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,7.400622382,1 +84266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.050384246,1 +84272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.02154476,1 +84275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.307595675,1 +84274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.830226858,1 +84273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.361514393,1 +84276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.330816984,1 +84277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.254515741,1 +84278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.207109986,1 +84279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.614407546,1 +84280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.171823119,1 +84282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.308235983,1 +84283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.895452312,1 +84281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.793670311,1 +84284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.056015149,1 +84285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.482463842,1 +84286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.386500544,1 +84287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.827334093,1 +84288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.825514765,1 +84289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.973245636,1 +84291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.642057882,1 +84290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,1.898362016,1 +84292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.538355561,1 +84293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.691754191,1 +84294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.381433693,1 +84295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.659331154,1 +84296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.4660297,1 +84297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.992866643,1 +84299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.35043237,1 +84300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.350390222,1 +84298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.370310749,1 +84301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.522535945,1 +84302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.062157047,1 +84304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.726236796,1 +84305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.966929121,1 +84303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.701241177,1 +84306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.29299747,1 +84307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.989885995,1 +84309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.102516439,1 +84308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.683455357,1 +84310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.07038183,1 +84312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.980548822,1 +84313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.596194999,1 +84311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.302662872,1 +84314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.702422339,1 +84315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.207549453,1 +84316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.312411606,1 +84318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.136875891,1 +84317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.36142397,1 +84320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.451560596,1 +84319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.995450021,1 +84321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.656802679,1 +84323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,7.329399914,1 +84324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.076324939,1 +84325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.705257538,1 +84322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.387137276,1 +84326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.662329462,1 +84327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.958913288,1 +84328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.39433479,1 +84329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.759978812,1 +84330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.619215121,1 +84332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.492309339,1 +84331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.251934948,1 +84333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.4543539,1 +84334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.234071572,1 +84335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.95859148,1 +84336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.391304752,1 +84337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.32407435,1 +84339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.186154674,1 +84340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.868925671,1 +84342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.262870202,1 +84343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.529861135,1 +84338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.523779563,1 +84341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.375609381,1 +84344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.030851095,1 +84345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.996224649,1 +84346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.302488557,1 +84348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.295198322,1 +84347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.999691123,1 +84350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,8.481206462,1 +84349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.5358464,1 +84353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.288671954,1 +84352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.804778722,1 +84354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.76149552,1 +84351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.288581341,1 +84357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.369406822,1 +84358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.953347478,1 +84356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.094513495,1 +84355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.66789375,1 +84359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.514691882,1 +84360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.387991493,1 +84362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.098393102,1 +84364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.04597792,1 +84363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.041566938,1 +84361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.306022343,1 +84365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.532137919,1 +84366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.171403251,1 +84369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.864756169,1 +84368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.903918733,1 +84367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.408978926,1 +84370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.102662319,1 +84373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.152077974,1 +84372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.664811213,1 +84374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.404070448,1 +84375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.97121599,1 +84371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.298143392,1 +84376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.248031582,1 +84377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.905076928,1 +84378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.720179621,1 +84379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.840845625,1 +84380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.110234181,1 +84381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.404067619,1 +84382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.734431025,1 +84383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.822432773,1 +84384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.556001064,1 +84385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.218313967,1 +84386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.155117017,1 +84387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.426152303,1 +84389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.141895538,1 +84388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.118102312,1 +84390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.249534905,1 +84392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.366685884,1 +84394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.544865547,1 +84393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.835527172,1 +84391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.639030382,1 +84395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.946911831,1 +84396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.037665935,1 +84399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.454064891,1 +84398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.216118633,1 +84397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.558061856,1 +84400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.638893138,1 +84402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.05146308,1 +84401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.370490991,1 +84403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.471523093,1 +84404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.441910409,1 +84406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.150719568,1 +84405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.735718389,1 +84408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.084874712,1 +84407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.921822319,1 +84409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.054375704,1 +84410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.31801896,1 +84412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.724473819,1 +84411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.527719614,1 +84414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.36150788,1 +84413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.115372075,1 +84415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.442614174,1 +84418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.191001606,1 +84417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.826112121,1 +84416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.478301932,1 +84420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.179051179,1 +84421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.279587956,1 +84422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.450257431,1 +84419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.995543851,1 +84425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.916812973,1 +84424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.681021323,1 +84423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.841902493,1 +84426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.850709915,1 +84429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.448208349,1 +84428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.234394988,1 +84427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.385323899,1 +84431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.745125767,1 +84433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.293276111,1 +84432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,7.048426301,1 +84430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.484354687,1 +84434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.009843622,1 +84436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.985492402,1 +84435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.142382727,1 +84438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.220529577,1 +84439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.991013162,1 +84440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.246347338,1 +84437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.266771622,1 +84444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.191045994,1 +84442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.996251823,1 +84441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.654073188,1 +84443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.393827562,1 +84445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.068416855,1 +84446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.85730196,1 +84447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.542537079,1 +84448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.159018735,1 +84450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.587099155,1 +84451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.577323642,1 +84452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.004381099,1 +84449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.437593732,1 +84453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.632737565,1 +84454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.649624189,1 +84455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.892551467,1 +84456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.985387053,1 +84458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.308363809,1 +84457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.523064763,1 +84460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.78738211,1 +84459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.391551983,1 +84461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.252914929,1 +84463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.617461461,1 +84462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.52217355,1 +84466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.532091656,1 +84465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.303751833,1 +84464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.287049946,1 +84468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.824976915,1 +84469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.564856075,1 +84470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,7.084515556,1 +84467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.634690762,1 +84473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.860081451,1 +84471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.685678987,1 +84474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.859368534,1 +84472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.941690943,1 +84475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.548383316,1 +84476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.570596083,1 +84478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.918762802,1 +84477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.422550834,1 +84480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.379947688,1 +84481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.735107908,1 +84483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.447951572,1 +84482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,7.535239573,1 +84479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.392436164,1 +84484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.681078378,1 +84485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.567770481,1 +84487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.503717167,1 +84486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.642930382,1 +84490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.517509909,1 +84488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.253482333,1 +84489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.207504887,1 +84492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.357449238,1 +84491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.706711239,1 +84493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.737309161,1 +84494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.35241917,1 +84496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.120293375,1 +84497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.755880472,1 +84498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,1.626144134,1 +84499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.118157419,1 +84500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.139353426,1 +84495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.490087847,1 +84501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.6211436,1 +84504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.595690124,1 +84502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.481475565,1 +84503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.777578506,1 +84506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.430177359,1 +84505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.255837624,1 +84507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.757072352,1 +84510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.642388306,1 +84508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.607283667,1 +84509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.799817054,1 +84511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,1.690526454,1 +84512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.611173158,1 +84513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.97002946,1 +84516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.067114787,1 +84515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.304299782,1 +84517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.005849605,1 +84514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.030004318,1 +84520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,7.487478867,1 +84519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.849791437,1 +84518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.908614001,1 +84521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.684146035,1 +84522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.76634494,1 +84523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.257097945,1 +84525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.883447814,1 +84524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.466470664,1 +84526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.771670062,1 +84527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,7.057477493,1 +84529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.107747937,1 +84528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.62380445,1 +84532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.894206678,1 +84531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.957121193,1 +84530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.574890704,1 +84536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.177494249,1 +84533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.274657,1 +84534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.863653945,1 +84535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.442834308,1 +84537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.322936474,1 +84538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.70913106,1 +84539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.231363503,1 +84540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.55816441,1 +84541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.804908409,1 +84543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.690323642,1 +84542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.184984784,1 +84544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.178422025,1 +84546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.064716024,1 +84547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.567127315,1 +84548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.235124644,1 +84549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.620263716,1 +84545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.495784902,1 +84551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.434479692,1 +84550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.78701622,1 +84553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.570587884,1 +84552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.244138229,1 +84554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.865371488,1 +84555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.00869495,1 +84557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.734986377,1 +84556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.702148627,1 +84558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.710217884,1 +84559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.1285868,1 +84560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.854428188,1 +84561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,7.998580433,1 +84562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.003881398,1 +84563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.290381929,1 +84564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.570782225,1 +84565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.640570238,1 +84566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.538048021,1 +84568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.631984219,1 +84569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.724319712,1 +84570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.358531629,1 +84571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.146774621,1 +84572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.231640428,1 +84567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.416528907,1 +84573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.119480688,1 +84574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.771622491,1 +84575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.215914983,1 +84577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.253133356,1 +84578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.447103045,1 +84576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.446179717,1 +84579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.171974395,1 +84580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.626262607,1 +84582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.502354675,1 +84581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.268570965,1 +84583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,7.097047396,1 +84584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.431047533,1 +84585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.458196885,1 +84586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.528092132,1 +84587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.215944595,1 +84588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.676324062,1 +84591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.039565563,1 +84590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.58095271,1 +84592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.441675377,1 +84594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.660461505,1 +84593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.797467147,1 +84589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.215549672,1 +84595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.142915345,1 +84596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.376483915,1 +84597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.326071057,1 +84598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.957771119,1 +84599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,7.382015765,1 +84600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.029147156,1 +84601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.140805366,1 +84602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.988007906,1 +84603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.140459071,1 +84604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.148947761,1 +84605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.45470388,1 +84607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.842836329,1 +84608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.623853818,1 +84609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.055899721,1 +84610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.739465443,1 +84606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.452781296,1 +84611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.92159115,1 +84613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.459366981,1 +84614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.508152235,1 +84612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.520362859,1 +84615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.118108769,1 +84616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.552163676,1 +84617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.139957727,1 +84619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.021645728,1 +84618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.665878767,1 +84620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.229697439,1 +84621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.353668302,1 +84622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.590380408,1 +84623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.416054369,1 +84624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.468188068,1 +84627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.274635661,1 +84625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.08458524,1 +84626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,8.090355684,1 +84628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.292773492,1 +84629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.399076674,1 +84631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.623183445,1 +84630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.292518962,1 +84632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.985216164,1 +84633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.036956905,1 +84634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.832781065,1 +84635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.013149942,1 +84636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.685301622,1 +84637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.14139245,1 +84638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,7.83767032,1 +84640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.783823595,1 +84639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.444994007,1 +84641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.102901194,1 +84642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.077460488,1 +84644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.228101606,1 +84643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.842516898,1 +84645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.626441182,1 +84646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.345332648,1 +84648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.466488603,1 +84647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.720038551,1 +84649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.78193421,1 +84650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.363524655,1 +84651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.737347758,1 +84653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.139329939,1 +84652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.483484582,1 +84654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.817910642,1 +84655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.690950683,1 +84656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.593546293,1 +84657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,7.673622863,1 +84658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.205112854,1 +84660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.470696776,1 +84659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,7.351737068,1 +84662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.535445488,1 +84661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.342257017,1 +84663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.56072969,1 +84664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.543435969,1 +84665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.592929349,1 +84666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.389069747,1 +84667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.744454804,1 +84668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.365858479,1 +84669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.444044664,1 +84670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.859402406,1 +84672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.852787265,1 +84671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.72940295,1 +84673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.92828096,1 +84675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.011338527,1 +84676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.04784889,1 +84677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.688256885,1 +84678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.169711676,1 +84680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.865444455,1 +84679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.23906877,1 +84674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.989961276,1 +84681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.968290414,1 +84682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.48234023,1 +84683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.878095882,1 +84684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.378353555,1 +84686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.90732169,1 +84685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.315377647,1 +84687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.334712362,1 +84688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.157866209,1 +84690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.092486334,1 +84689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.375727325,1 +84691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.591505367,1 +84692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.935959975,1 +84693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.441675512,1 +84695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.538827893,1 +84694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.742694961,1 +84697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.698396947,1 +84699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.6048017,1 +84698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.466207529,1 +84701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.027659552,1 +84700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.857590758,1 +84696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.288583317,1 +84702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.799371878,1 +84703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.58279112,1 +84705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.11021864,1 +84704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.767097616,1 +84706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.299730779,1 +84709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.557565812,1 +84707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.291521064,1 +84708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.29230779,1 +84710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.069861762,1 +84711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.428734614,1 +84712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.458388441,1 +84714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.203706585,1 +84715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.778607454,1 +84716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.373558342,1 +84717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.877560788,1 +84713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.346123923,1 +84719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.585310506,1 +84721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.702532535,1 +84718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.581838143,1 +84720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.19877097,1 +84723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.062125686,1 +84724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.565057962,1 +84722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.147872078,1 +84725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.71122949,1 +84726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.902223827,1 +84727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.137038378,1 +84728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.5481391,1 +84729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.680949799,1 +84730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.052545278,1 +84731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.936538109,1 +84733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.237686648,1 +84732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.636387944,1 +84735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.929138019,1 +84734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.761543477,1 +84736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.748546755,1 +84737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.461846941,1 +84738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.424867728,1 +84739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.187186877,1 +84740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.685436863,1 +84741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.688331076,1 +84742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.684734881,1 +84743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.980956081,1 +84744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.169935332,1 +84745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.072649423,1 +84746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.489027403,1 +84747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.174246336,1 +84748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.281581755,1 +84750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.811535913,1 +84749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.059397238,1 +84752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.20307453,1 +84751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.055004784,1 +84753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,1.487198969,1 +84754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.57702765,1 +84755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.456397134,1 +84756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.332209141,1 +84757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.141571512,1 +84758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.606511499,1 +84760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,1.976759077,1 +84761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.732132589,1 +84759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.596780547,1 +84762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.153770892,1 +84765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.426175198,1 +84766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.641104287,1 +84763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.46264346,1 +84764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.417020179,1 +84767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.410016183,1 +84769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.094482853,1 +84770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.145659483,1 +84771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.083357119,1 +84772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.722875556,1 +84773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.253636435,1 +84768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.790342379,1 +84774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.444871343,1 +84775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.970121906,1 +84776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.049560455,1 +84777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.808669772,1 +84779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.509844763,1 +84781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.559791158,1 +84780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.498655563,1 +84778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.64892238,1 +84782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.871090183,1 +84783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.38667861,1 +84784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.110100988,1 +84785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.863196672,1 +84786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.275042775,1 +84787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.246296987,1 +84790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.810088987,1 +84789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.490589812,1 +84791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.963681201,1 +84788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.057743557,1 +84793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.316438654,1 +84792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.512236811,1 +84795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.9524447,1 +84794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.837634308,1 +84797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.25588382,1 +84798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.2326007,1 +84796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.635010001,1 +84800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.240293454,1 +84799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.761704193,1 +84801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.588168164,1 +84802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.648669099,1 +84804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.314809447,1 +84803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.246533309,1 +84806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.445992572,1 +84807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.524915497,1 +84808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.963241189,1 +84805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.214270369,1 +84809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.200071566,1 +84812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.792648009,1 +84810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,7.036928343,1 +84811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.718788183,1 +84814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.933762906,1 +84815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.094104665,1 +84816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.44185244,1 +84813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.758376512,1 +84817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.71877951,1 +84818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.65423961,1 +84819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.958576095,1 +84822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.537617031,1 +84820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.02244376,1 +84823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.240979696,1 +84821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.869746123,1 +84825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.86200697,1 +84827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.359588661,1 +84826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.169983524,1 +84824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.951215901,1 +84828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.615061519,1 +84829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.239497232,1 +84831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.950425491,1 +84830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.060488432,1 +84833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.378278184,1 +84834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.913568707,1 +84835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.149392401,1 +84837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.021835648,1 +84832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.559193546,1 +84838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.735550278,1 +84836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.944879788,1 +84839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.794230149,1 +84840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.575080474,1 +84841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.062468468,1 +84842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.54682906,1 +84844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.249625722,1 +84843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,8.363047346,1 +84845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.097211016,1 +84846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.111302486,1 +84848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.116387483,1 +84847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.770922193,1 +84849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.318426401,1 +84850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.112739748,1 +84851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,7.303560973,1 +84853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.204416507,1 +84855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,7.010988367,1 +84854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.535175615,1 +84852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.807064923,1 +84857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.471405009,1 +84856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.551497872,1 +84858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.730728586,1 +84859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.798751659,1 +84860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.933240126,1 +84861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.656017904,1 +84862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.930713015,1 +84863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.909696632,1 +84864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.203371045,1 +84865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.12871705,1 +84866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.700806795,1 +84867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.933071719,1 +84868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.193567981,1 +84869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.514985869,1 +84870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.149615696,1 +84873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,1.410421349,1 +84872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.732031936,1 +84871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.930169878,1 +84876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.864102008,1 +84874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,9.244093101,1 +84875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.642592553,1 +84877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.834972833,1 +84878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.115838954,1 +84879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.240266449,1 +84880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.464364123,1 +84881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.004461464,1 +84883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.619648809,1 +84882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.907253601,1 +84884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.288581044,1 +84886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.681005261,1 +84885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.929352278,1 +84888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.38500745,1 +84887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.314128627,1 +84890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.97794675,1 +84889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.63316316,1 +84891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.163919775,1 +84892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.132595845,1 +84893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,7.123452033,1 +84895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.50865126,1 +84894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.184072126,1 +84896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.692998705,1 +84898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.683620109,1 +84899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.575595273,1 +84897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.785595332,1 +84900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.429363578,1 +84901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.320181386,1 +84902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.935866083,1 +84904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.312120163,1 +84903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.085901351,1 +84905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.074695203,1 +84906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.335282294,1 +84907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.067568108,1 +84909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.946997497,1 +84910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.651464098,1 +84911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.513938931,1 +84908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.226338944,1 +84912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.488557987,1 +84913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.926115209,1 +84915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.948600587,1 +84914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.994343171,1 +84916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.74754621,1 +84917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.519688805,1 +84918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.415290474,1 +84920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.121243819,1 +84919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.603171837,1 +84921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.280453084,1 +84924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.071181281,1 +84923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.121165885,1 +84925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.107384016,1 +84926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.578096753,1 +84927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.957337687,1 +84928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.260573008,1 +84922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.300038686,1 +84929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.850268838,1 +84930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.966154092,1 +84931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.720227091,1 +84932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.722180143,1 +84933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.698051882,1 +84934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.439832582,1 +84935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.281463804,1 +84936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.561884595,1 +84937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.955079679,1 +84938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.835856269,1 +84939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.954834095,1 +84941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.860904723,1 +84940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.084747447,1 +84942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.204706903,1 +84943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.108874268,1 +84944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.242859352,1 +84946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.406290539,1 +84947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.912238535,1 +84948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.180342443,1 +84945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.617598116,1 +84949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.992933804,1 +84950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.673401028,1 +84951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.238349341,1 +84952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.328731408,1 +84953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.826307253,1 +84955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.878198725,1 +84954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.518487645,1 +84956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.847100159,1 +84957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.973853013,1 +84958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.013879534,1 +84959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.417392538,1 +84961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.601632799,1 +84962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.364409756,1 +84963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.40838649,1 +84960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.880410503,1 +84964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.53180793,1 +84966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.290514789,1 +84965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.249690481,1 +84967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.752112244,1 +84968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.916092527,1 +84970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.189921955,1 +84969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.468158753,1 +84971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.046344871,1 +84972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.909993158,1 +84974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.641580758,1 +84975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.73256882,1 +84973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,6.270743256,1 +84976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.223620936,1 +84977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.710602437,1 +84979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.255623425,1 +84980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.176994635,1 +84981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.634103752,1 +84978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.153277347,1 +84983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.110856446,1 +84984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.687438926,1 +84982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.92214699,1 +84985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.667226377,1 +84986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.751859655,1 +84987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.969736442,1 +84988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.524689002,1 +84989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,5.057293443,1 +84990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,2.887433489,1 +84991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.027370414,1 +84993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.476591776,1 +84992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.820821097,1 +84994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.740410957,1 +84995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.104438955,1 +84997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.811770529,1 +84996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.219586962,1 +84998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.53999811,1 +84999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,4.905798067,1 +85000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,5,1,3.096657403,1 +94001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.381686399,1 +94003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.420749487,1 +94004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.393883201,1 +94005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.195344937,1 +94006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,7.528479971,1 +94007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.858527553,1 +94002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.303101901,1 +94008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.520496523,1 +94009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.479477967,1 +94010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.973502053,1 +94012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.419330872,1 +94011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.783865673,1 +94013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.082164851,1 +94014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.740036489,1 +94015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.859301872,1 +94016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.530347288,1 +94017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.856045527,1 +94018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.049090318,1 +94019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.90655835,1 +94020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,0.879983832,1 +94021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.474538458,1 +94022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.991737174,1 +94024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.631783041,1 +94025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.856928012,1 +94026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.326216041,1 +94027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.012506065,1 +94023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.867818287,1 +94029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.141332998,1 +94028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.489255743,1 +94031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.515376772,1 +94030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.614136489,1 +94033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.615916558,1 +94032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.235652383,1 +94034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.710802021,1 +94036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.448535643,1 +94035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.41828116,1 +94037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.316338796,1 +94039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.821880093,1 +94040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.695270954,1 +94041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.011219245,1 +94038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.515287951,1 +94043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.911628649,1 +94044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.246222784,1 +94042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.076249414,1 +94045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.75703646,1 +94046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.748588191,1 +94047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.934927172,1 +94048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.370958034,1 +94050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.591749934,1 +94049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.152387433,1 +94051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.196428485,1 +94052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.877055088,1 +94053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.62513357,1 +94055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.218855142,1 +94054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.636842007,1 +94056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,7.689234089,1 +94057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.163163523,1 +94059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.478336992,1 +94060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.721214237,1 +94058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.284100272,1 +94062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.143870042,1 +94061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.932676683,1 +94064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.384257147,1 +94065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.93498494,1 +94066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.340733791,1 +94063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.22797511,1 +94067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.444378748,1 +94069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.878662406,1 +94068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.805601913,1 +94071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.166287726,1 +94073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.078032308,1 +94072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.584818742,1 +94070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.166277358,1 +94077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.339967226,1 +94075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.555166613,1 +94076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.54226601,1 +94074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.931258042,1 +94078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.135027944,1 +94080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.372633431,1 +94079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.848759535,1 +94081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.442456271,1 +94082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.321679773,1 +94084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.820083402,1 +94083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,7.143619679,1 +94085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.135837648,1 +94087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.432235512,1 +94088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.959452337,1 +94089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.404063174,1 +94086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.186715342,1 +94091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.505162695,1 +94090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.253976978,1 +94093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.798308647,1 +94094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.457243419,1 +94092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.737838878,1 +94095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.571863894,1 +94096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,8.24564392,1 +94097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.332262822,1 +94098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.064838158,1 +94099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.441529228,1 +94100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.643001788,1 +94101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.900973076,1 +94102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.153023571,1 +94103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.321276041,1 +94104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.918595857,1 +94107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.395762828,1 +94105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.800847781,1 +94106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.502148014,1 +94108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.42148526,1 +94109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.993393668,1 +94110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.277246938,1 +94111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.181979572,1 +94112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.04554764,1 +94113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.173470884,1 +94114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.966807377,1 +94115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.731513343,1 +94116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.400801949,1 +94117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.277371327,1 +94118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.281918696,1 +94119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.768880329,1 +94120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.333961028,1 +94121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.427150821,1 +94122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.419710133,1 +94124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.872707172,1 +94123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.433383399,1 +94125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.870183614,1 +94126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.017708747,1 +94127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.065069971,1 +94129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.233886115,1 +94130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.212340929,1 +94128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.269668333,1 +94131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.947640728,1 +94132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.814628889,1 +94133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.079887404,1 +94135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,8.012626574,1 +94134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.218362327,1 +94136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.757328915,1 +94137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.014475584,1 +94138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.490491454,1 +94139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.160132489,1 +94140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.001178109,1 +94141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.474877758,1 +94142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.866782485,1 +94144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.845143557,1 +94146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.298598033,1 +94145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.366993253,1 +94147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.679115961,1 +94143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.968231859,1 +94149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.622937824,1 +94148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.540519139,1 +94151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.060840259,1 +94152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.404372867,1 +94153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.904024645,1 +94154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.879009343,1 +94150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.045853649,1 +94155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.576349403,1 +94156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.165045594,1 +94158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.26664999,1 +94159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.925390666,1 +94157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.799919214,1 +94160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.214957885,1 +94161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.120333065,1 +94162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.596747787,1 +94164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.35242755,1 +94165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.07107405,1 +94166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.07122964,1 +94167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.027284855,1 +94163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.128448882,1 +94169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.29514211,1 +94168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.969868259,1 +94170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.473733951,1 +94171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.829394247,1 +94173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.766673331,1 +94172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,7.598084514,1 +94174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.608604611,1 +94176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.503885415,1 +94177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.917698015,1 +94175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.064712064,1 +94178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.579710405,1 +94179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.924230578,1 +94180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.482682471,1 +94181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.588983521,1 +94182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.578070575,1 +94183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.952169459,1 +94184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.216268957,1 +94186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.234502232,1 +94185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.324073466,1 +94187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.192086826,1 +94188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.682082115,1 +94189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.53339113,1 +94191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.763646967,1 +94190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.008824691,1 +94192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.071938151,1 +94193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.053610732,1 +94194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.888188643,1 +94195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.66443245,1 +94199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.225503193,1 +94196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.628354658,1 +94198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.548780459,1 +94197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.203344703,1 +94201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.828785353,1 +94200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.453067446,1 +94202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.686446262,1 +94203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.879557309,1 +94204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.086211357,1 +94206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.390763291,1 +94205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.283271405,1 +94207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.821896332,1 +94208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.469470867,1 +94209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.902850981,1 +94210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.713923405,1 +94212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.133223467,1 +94211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.268693837,1 +94213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.475098986,1 +94215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.739163842,1 +94216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.949205917,1 +94217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.953398165,1 +94214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.555293466,1 +94218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.067280993,1 +94220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.780316386,1 +94219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.209345743,1 +94222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.664962282,1 +94223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.500414015,1 +94224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.621878772,1 +94221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.166867979,1 +94225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.760681263,1 +94227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.516780392,1 +94226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.98074047,1 +94228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.179013103,1 +94231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.817843595,1 +94229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.306024363,1 +94230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.727635271,1 +94232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.093977158,1 +94233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.188042654,1 +94234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.719661938,1 +94235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.853139782,1 +94236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.406561074,1 +94238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.053811719,1 +94239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.102867802,1 +94240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.108849424,1 +94241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.925165379,1 +94237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.343785812,1 +94242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.642177578,1 +94243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.390521151,1 +94245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.703749266,1 +94244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.521481928,1 +94246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.454246936,1 +94247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.98410017,1 +94248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.812096713,1 +94249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.437176165,1 +94250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.382156881,1 +94251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.549095834,1 +94252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.926397415,1 +94254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.925359117,1 +94255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.610346901,1 +94253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.040352932,1 +94259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.399504835,1 +94257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.611319485,1 +94258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.102929463,1 +94256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.230022513,1 +94260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.94700008,1 +94261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.317682301,1 +94262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.206060247,1 +94263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.534411672,1 +94264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.265067292,1 +94265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.606765324,1 +94266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.672087637,1 +94267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.129564276,1 +94268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.805583448,1 +94269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.95020013,1 +94270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.519357653,1 +94272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.098370822,1 +94273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.624706657,1 +94274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.917732882,1 +94271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.514680484,1 +94276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.336158341,1 +94275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.927249839,1 +94277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.468730544,1 +94280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.650863648,1 +94278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.696166403,1 +94279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.668894982,1 +94281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,7.13600333,1 +94282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.38675319,1 +94284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.565769883,1 +94283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.634529235,1 +94285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.566527042,1 +94286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.124943504,1 +94288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.528726575,1 +94287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,7.784849268,1 +94289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.983733546,1 +94290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.011204294,1 +94291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.469256663,1 +94292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.411666652,1 +94293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.746638047,1 +94294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.677909151,1 +94295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.349399934,1 +94296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.910213744,1 +94297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.789580133,1 +94298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.824688604,1 +94299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.672497872,1 +94300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.341244676,1 +94301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.73443121,1 +94302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.32550545,1 +94303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.341464406,1 +94305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.007335333,1 +94306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.53660304,1 +94304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,1.653576272,1 +94307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.29308741,1 +94308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,7.237111858,1 +94309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.27816324,1 +94311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.115195259,1 +94312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.571343325,1 +94313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.612182287,1 +94314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.59596246,1 +94310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.725451316,1 +94315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.211164122,1 +94316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.645009896,1 +94317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.08670806,1 +94319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.664800716,1 +94318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.549961449,1 +94320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.716648491,1 +94321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.275890001,1 +94322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.082314566,1 +94323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.683831317,1 +94324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.942805803,1 +94325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.647770233,1 +94326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.184962067,1 +94327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.072545716,1 +94328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.990477428,1 +94329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.590706046,1 +94330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.920961955,1 +94332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.310604757,1 +94334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.794016141,1 +94333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.032553752,1 +94331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.790890414,1 +94335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.320955326,1 +94338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,7.105876937,1 +94337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.604359443,1 +94336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.659458239,1 +94339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.501453876,1 +94341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.418104601,1 +94342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.301850582,1 +94340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.885311699,1 +94343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.508571926,1 +94344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.990589173,1 +94345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.818759432,1 +94347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.941658403,1 +94348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.919245505,1 +94349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.23100787,1 +94350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.397188654,1 +94346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,7.558756965,1 +94351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.351835013,1 +94352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.971767968,1 +94354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.56773308,1 +94353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.297442211,1 +94356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.782718939,1 +94355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.565405144,1 +94358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.317030826,1 +94357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.968496323,1 +94360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.940223649,1 +94359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.99956707,1 +94361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.898811732,1 +94362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.075489336,1 +94363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.713276065,1 +94364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.316805937,1 +94365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.558623397,1 +94366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.633283985,1 +94368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.553652016,1 +94367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.012422766,1 +94369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.55762923,1 +94371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.022949296,1 +94372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.611386963,1 +94373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.434609383,1 +94370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.806742843,1 +94374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.423808094,1 +94375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.513990128,1 +94377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.665250872,1 +94376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.302839285,1 +94378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.071001977,1 +94379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.899408036,1 +94380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.277172071,1 +94381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.200648565,1 +94382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.760328845,1 +94383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.77480769,1 +94384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.165921023,1 +94385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.310398439,1 +94386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.199280244,1 +94387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.15140419,1 +94388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.872774386,1 +94390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.217533344,1 +94389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.974372824,1 +94391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.377129469,1 +94392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.2838494,1 +94393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.527233915,1 +94395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.170758765,1 +94394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.984714705,1 +94396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.727570259,1 +94397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.462283774,1 +94398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.020484128,1 +94400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.439919074,1 +94401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.795184159,1 +94402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.976374804,1 +94399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.571530536,1 +94403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.619875722,1 +94404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.40951929,1 +94405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.748285225,1 +94406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.93677702,1 +94407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.591431584,1 +94409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.114608243,1 +94408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.432990795,1 +94410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.585334637,1 +94411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.595273213,1 +94412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.525346744,1 +94413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.347867326,1 +94415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.621311659,1 +94414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.71770648,1 +94416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.745407671,1 +94417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.871920994,1 +94418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.826013536,1 +94420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.156741051,1 +94421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.781083044,1 +94422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.262595276,1 +94419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.294039867,1 +94423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,1.421147065,1 +94424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.530046504,1 +94425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.877594898,1 +94427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.66893971,1 +94426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.370956373,1 +94429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.451682781,1 +94428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,7.256197344,1 +94430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.312114598,1 +94431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.474945287,1 +94432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.211125812,1 +94433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.411850403,1 +94434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.298264314,1 +94435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.265422404,1 +94437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.9411795,1 +94436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.714837087,1 +94438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.252162512,1 +94440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.494940565,1 +94441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.855971517,1 +94439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.390209022,1 +94445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.671190443,1 +94442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.738452563,1 +94443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.738740544,1 +94444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.937843718,1 +94446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.102746689,1 +94447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.409940924,1 +94448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.380114553,1 +94449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.174420567,1 +94450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.177566725,1 +94451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.781160721,1 +94452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.885762022,1 +94453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.958506626,1 +94455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.814546165,1 +94456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.252155236,1 +94457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.662436153,1 +94459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.710459179,1 +94454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.332146,1 +94458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.043945542,1 +94460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.654037666,1 +94461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.506835514,1 +94462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.953984469,1 +94463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,7.907761799,1 +94464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.941165888,1 +94465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.068334586,1 +94467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.581398109,1 +94466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.737605186,1 +94468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.140020613,1 +94469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.161669304,1 +94470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.831982724,1 +94471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,7.232676735,1 +94472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.135354888,1 +94473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.115451656,1 +94474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.155475377,1 +94476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.488781532,1 +94475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.250909541,1 +94478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.164621271,1 +94479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.120996222,1 +94477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.310188139,1 +94480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.502333906,1 +94481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.302932921,1 +94482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.521313583,1 +94484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.923528678,1 +94485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.847744836,1 +94483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.91221905,1 +94486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.370390666,1 +94487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.359551825,1 +94489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.543806668,1 +94488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.227170051,1 +94490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.708169158,1 +94492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.890467877,1 +94493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.600768502,1 +94491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.102628045,1 +94494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.001136546,1 +94496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.931551105,1 +94497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,7.259542222,1 +94498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.057882032,1 +94495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.206975261,1 +94499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.04184825,1 +94500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.853753104,1 +94501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.361557809,1 +94502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,7.399690279,1 +94504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,7.980980572,1 +94503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.017982247,1 +94506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.221152914,1 +94505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.325529428,1 +94508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.413071857,1 +94509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.487925778,1 +94507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.288554863,1 +94510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.61380654,1 +94511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.027184752,1 +94514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.653960835,1 +94513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.502320577,1 +94512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.698723088,1 +94515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.168853097,1 +94516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.381653878,1 +94517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.290298958,1 +94518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.104814721,1 +94519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.675668082,1 +94521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.344977955,1 +94520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.116128598,1 +94522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.156718884,1 +94523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.86604233,1 +94525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.974997467,1 +94524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.570030884,1 +94526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.139638896,1 +94527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.977131732,1 +94528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.923338142,1 +94529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.847962033,1 +94530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.415714806,1 +94531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.509799903,1 +94532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.005561604,1 +94533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.559316147,1 +94534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.702207121,1 +94535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.462049717,1 +94536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.29031416,1 +94538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.505577926,1 +94540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.206115835,1 +94539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.390810572,1 +94537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.872256702,1 +94541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.168893568,1 +94542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.713771871,1 +94543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.528917235,1 +94545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.648903976,1 +94546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.161928201,1 +94547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.683153643,1 +94544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.97393136,1 +94548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.928120016,1 +94551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.009976593,1 +94550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.631756566,1 +94549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.228353809,1 +94552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.886657266,1 +94553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.120424724,1 +94554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.642277875,1 +94555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.991897984,1 +94556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.142661051,1 +94558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.508354675,1 +94559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.295326723,1 +94560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.807587229,1 +94561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.101357306,1 +94562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.710370241,1 +94563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.002007854,1 +94557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.595859484,1 +94564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.820787574,1 +94565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.426565213,1 +94567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.108452075,1 +94566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.669549188,1 +94568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.569186721,1 +94569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.526694487,1 +94570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.988362396,1 +94571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.202574198,1 +94572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.100384659,1 +94573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.421151874,1 +94575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.322732069,1 +94576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.359180918,1 +94577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,7.169902741,1 +94578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.283791362,1 +94574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.738275075,1 +94580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.032095356,1 +94579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.685424429,1 +94582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.750034388,1 +94581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.143874027,1 +94583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,7.919224913,1 +94584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.933373135,1 +94585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.981213857,1 +94586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.491866669,1 +94587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.85556616,1 +94588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.658099142,1 +94589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.54376399,1 +94590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.412052878,1 +94591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.693496536,1 +94592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.735674619,1 +94594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.186848094,1 +94595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.933619857,1 +94593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.78233948,1 +94596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.871886466,1 +94599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.088983821,1 +94598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,8.366119378,1 +94597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.609148017,1 +94600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.892395315,1 +94602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.720972053,1 +94601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.509093976,1 +94603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.946286515,1 +94604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.458540591,1 +94605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,8.420133169,1 +94607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.516722567,1 +94608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.021214241,1 +94609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.958743455,1 +94610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.520221881,1 +94606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.593716748,1 +94611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.258217171,1 +94613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.838749141,1 +94612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.979536685,1 +94614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,1.8271288,1 +94615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,7.067236234,1 +94616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.455663432,1 +94617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.933733208,1 +94618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.921156643,1 +94619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.017684979,1 +94620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.839676928,1 +94621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.954380473,1 +94623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.509783418,1 +94622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.299411742,1 +94625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.773890429,1 +94624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,1.676178442,1 +94627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.318457517,1 +94626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.866709185,1 +94628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.383370049,1 +94629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.499409807,1 +94631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.027103948,1 +94632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.207846212,1 +94633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.200552353,1 +94630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.402711266,1 +94634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.199175409,1 +94635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.994711082,1 +94636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.517556996,1 +94637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,7.031969292,1 +94638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.411909007,1 +94639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.051287716,1 +94640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.939526636,1 +94641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,7.515605161,1 +94642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.294220497,1 +94643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.271287717,1 +94644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.194351905,1 +94646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.331888061,1 +94647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.326215994,1 +94645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.629359294,1 +94648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.996053633,1 +94649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.38328997,1 +94650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.195801416,1 +94652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.619396136,1 +94653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.039052576,1 +94651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.58114327,1 +94654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.433202684,1 +94655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.845164465,1 +94656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.198176232,1 +94657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.28022736,1 +94659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.973544202,1 +94658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.700741654,1 +94660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.085348094,1 +94662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.791543428,1 +94663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.618131791,1 +94664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.245300308,1 +94665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.081786962,1 +94661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.988521371,1 +94666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.948820295,1 +94667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.937204065,1 +94668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.215677648,1 +94670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.306173907,1 +94669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.859122205,1 +94671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.052626124,1 +94673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.407900636,1 +94672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.025161273,1 +94675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.245543557,1 +94674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.886331104,1 +94677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.723015633,1 +94676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.1330294,1 +94678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.043035973,1 +94679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.564226911,1 +94680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.689363489,1 +94681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.428852764,1 +94682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.739651528,1 +94684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.828854011,1 +94685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.854457842,1 +94683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.642200262,1 +94686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.146086346,1 +94688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.526729703,1 +94687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.044136085,1 +94689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.401230324,1 +94690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.417710501,1 +94692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.923993502,1 +94691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.233632942,1 +94693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.64579925,1 +94694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.343313393,1 +94695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.782566456,1 +94696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.61914989,1 +94697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.460556939,1 +94698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.149061938,1 +94700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.409985111,1 +94699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,7.56411378,1 +94702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.826241179,1 +94703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.25779733,1 +94704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.005732226,1 +94701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.807832711,1 +94705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.900337098,1 +94706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.493903308,1 +94707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.418852887,1 +94708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.211062928,1 +94709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.59832044,1 +94710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.251003964,1 +94711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.82304261,1 +94712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.546740282,1 +94713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.757576943,1 +94714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.257684494,1 +94715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.432941633,1 +94716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.448972914,1 +94718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.469109342,1 +94717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.065722559,1 +94719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.785191773,1 +94722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.089292224,1 +94721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.160257781,1 +94720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.613576998,1 +94723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.170518763,1 +94725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.213003542,1 +94726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.699282845,1 +94724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.352088678,1 +94728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.027327385,1 +94727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.229878683,1 +94729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.235724321,1 +94730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.303277408,1 +94731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.421432749,1 +94732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.285399607,1 +94734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.471728218,1 +94735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.635731884,1 +94733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.334877547,1 +94738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.186189994,1 +94737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.212567407,1 +94736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.757776815,1 +94740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.076900677,1 +94741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.492880887,1 +94742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.032412168,1 +94739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.047905382,1 +94744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.907938471,1 +94743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.740874945,1 +94745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.763637558,1 +94749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.257301052,1 +94746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.910557315,1 +94747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,1.460002227,1 +94748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.340507825,1 +94751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.342425442,1 +94752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.322683528,1 +94753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.065210997,1 +94750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.034936729,1 +94755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.89869351,1 +94756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.362587175,1 +94757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.375181049,1 +94758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.471638731,1 +94754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.981114942,1 +94759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.642284814,1 +94760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.918437922,1 +94761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.575407095,1 +94764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.093499356,1 +94762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.920335879,1 +94766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.96444883,1 +94763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.955898947,1 +94765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.333329079,1 +94767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.160146251,1 +94769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.826715247,1 +94770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.36997339,1 +94771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.676365986,1 +94772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.856093189,1 +94768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.904062016,1 +94773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.30016077,1 +94775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.790725821,1 +94776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.51975645,1 +94777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.714173692,1 +94774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.427870458,1 +94779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.258651303,1 +94778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.231390233,1 +94781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.442409641,1 +94780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.655559307,1 +94782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.238651644,1 +94783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.320925411,1 +94784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.755645667,1 +94785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.184588438,1 +94787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.467129611,1 +94789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.341128529,1 +94788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.181970305,1 +94790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.24071012,1 +94786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.704121335,1 +94791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.49871006,1 +94793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.978655712,1 +94794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.911054738,1 +94792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.665681312,1 +94795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.245408501,1 +94797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.431778437,1 +94796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.318540607,1 +94798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.101527861,1 +94799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.08835369,1 +94800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.310030597,1 +94801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.2186069,1 +94803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.295240472,1 +94802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.752371178,1 +94805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.690520121,1 +94806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.735841033,1 +94804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.554033963,1 +94808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.353820346,1 +94807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.937797765,1 +94809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.301775151,1 +94810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.884469177,1 +94812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.636893989,1 +94811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.274696051,1 +94813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.366881637,1 +94814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.693663536,1 +94816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.570546285,1 +94815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.163970151,1 +94817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.831602034,1 +94818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.209281818,1 +94819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.239224427,1 +94821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.661785486,1 +94820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.029948568,1 +94823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.024719897,1 +94822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.262312891,1 +94824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.282325771,1 +94825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.856037692,1 +94826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,7.433326616,1 +94827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.663544718,1 +94828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.560332263,1 +94829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.273980993,1 +94830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.986138601,1 +94831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.964769573,1 +94832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.321351695,1 +94834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.140590742,1 +94833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.753321119,1 +94835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.812949836,1 +94836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.558209677,1 +94837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.016141201,1 +94838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.90588706,1 +94841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.571631417,1 +94839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.416526783,1 +94840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.981111329,1 +94842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.398346498,1 +94843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.712698085,1 +94844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.19688292,1 +94845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.081114365,1 +94846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.363935731,1 +94848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.181426298,1 +94847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.352137104,1 +94849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.224612712,1 +94852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.163511401,1 +94850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,7.350866481,1 +94851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.713089902,1 +94853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.601853336,1 +94855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.30195103,1 +94854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.591914359,1 +94857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.139870236,1 +94856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.398843074,1 +94859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.842312303,1 +94861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.249588927,1 +94860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.75144826,1 +94862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.141796625,1 +94863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,7.6276028,1 +94864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.24578511,1 +94865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.956121871,1 +94858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.383283091,1 +94866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.423190239,1 +94867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.0559527,1 +94869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.240378108,1 +94868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.140066551,1 +94871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.831631367,1 +94870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.316156349,1 +94872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.69693252,1 +94873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.010289963,1 +94874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.757378081,1 +94875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.244795047,1 +94877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.324312996,1 +94878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.983327165,1 +94879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.63605681,1 +94880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.266591485,1 +94881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.289990224,1 +94882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.612094361,1 +94883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.15085539,1 +94876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.133157198,1 +94884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.127289519,1 +94885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.40931211,1 +94886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.57481398,1 +94887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.295923225,1 +94888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.606805616,1 +94889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.950695052,1 +94890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.800020477,1 +94891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.156358679,1 +94893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.648940936,1 +94892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.778264646,1 +94894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.439508361,1 +94895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.84586827,1 +94896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.41802426,1 +94897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.021074248,1 +94898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.619065252,1 +94901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.058124837,1 +94900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.595929633,1 +94902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.488938826,1 +94899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.315139886,1 +94903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.898188431,1 +94905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.693946193,1 +94904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.8053739,1 +94906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.57848312,1 +94907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.569925477,1 +94909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.39799032,1 +94908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.467527968,1 +94910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.428597147,1 +94911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.619066406,1 +94912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.192871779,1 +94913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,7.249855254,1 +94915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.838349592,1 +94914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.101010773,1 +94917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,7.305380571,1 +94916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.485973578,1 +94918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.122833652,1 +94921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.331380813,1 +94920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.824957448,1 +94919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,8.438348056,1 +94922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.832262036,1 +94924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,7.904887357,1 +94923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.295302905,1 +94925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.905857755,1 +94926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.314327121,1 +94927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.225263376,1 +94928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.713821961,1 +94929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.772834845,1 +94930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.578493232,1 +94931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.585229107,1 +94932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.784271154,1 +94934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.830889942,1 +94935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.835233704,1 +94936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,7.269837184,1 +94937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.884324922,1 +94933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.707464182,1 +94938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.177162209,1 +94939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.472878521,1 +94940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.670522499,1 +94942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.025591376,1 +94943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.182245254,1 +94944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.309244953,1 +94941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.357358711,1 +94945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.334702875,1 +94946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.168662617,1 +94949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.174673195,1 +94948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.035968572,1 +94947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.117632231,1 +94950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.679425764,1 +94951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.275047035,1 +94952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.348991115,1 +94953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.466590699,1 +94954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.021968077,1 +94955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.242954515,1 +94957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.809166389,1 +94958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.64208585,1 +94960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.23522122,1 +94956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.695154094,1 +94959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.660204823,1 +94963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.725907695,1 +94961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.370934825,1 +94964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.817118457,1 +94962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.896256291,1 +94967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.902229985,1 +94966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.535433586,1 +94965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.928309004,1 +94968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.543772363,1 +94969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.977839409,1 +94970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.955102302,1 +94971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.80866191,1 +94972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.823778878,1 +94973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.417968002,1 +94974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.209578153,1 +94976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.925642085,1 +94977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.233853787,1 +94975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.180687631,1 +94979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.860474137,1 +94978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.871372421,1 +94983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.759785449,1 +94980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.894352797,1 +94981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.866919048,1 +94982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.771662799,1 +94984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.803449294,1 +94985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.181069923,1 +94987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.518517618,1 +94986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.903044911,1 +94989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,2.966465005,1 +94988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,6.103048707,1 +94990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.119709149,1 +94991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.155955693,1 +94992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.942997398,1 +94994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.654778762,1 +94993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.538039893,1 +94995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.690638619,1 +94996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.557619456,1 +94998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,3.608334385,1 +94997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,4.047943329,1 +95000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,8.31773622,1 +94999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,5,1,5.578311795,1 +104002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.376580335,1 +104001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.88918869,1 +104003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,7.755294248,1 +104004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.283323584,1 +104006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.065539842,1 +104007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.956224011,1 +104008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.647398452,1 +104009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.929207818,1 +104010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.561329873,1 +104011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.791626126,1 +104012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.08673023,1 +104005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.433233649,1 +104013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.305039561,1 +104015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.493135331,1 +104014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.724763545,1 +104016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.444908672,1 +104019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.113813673,1 +104017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.513260221,1 +104018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.19160114,1 +104020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.615236105,1 +104021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.936026749,1 +104022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.857618259,1 +104023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.767484915,1 +104025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.778463684,1 +104024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.971695938,1 +104026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.769332751,1 +104027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.761364097,1 +104028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.336062077,1 +104030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.789736099,1 +104031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.634462831,1 +104029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.575031994,1 +104033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.209852172,1 +104034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.40491158,1 +104032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.525129289,1 +104035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.832390209,1 +104036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.979839747,1 +104038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.831372946,1 +104039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.410526686,1 +104037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,7.843466083,1 +104040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.06460226,1 +104041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.278171617,1 +104042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.516202208,1 +104043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.94176743,1 +104044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.481642695,1 +104045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.290435384,1 +104047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.312788481,1 +104048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.87379172,1 +104049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.740441649,1 +104050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.957333504,1 +104051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.710463704,1 +104046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.39055479,1 +104053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.213476062,1 +104054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.477490971,1 +104055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.615401888,1 +104052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.318153646,1 +104056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.892945066,1 +104057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.198310949,1 +104058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.394005682,1 +104059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.449804268,1 +104061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.861221143,1 +104060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.716349228,1 +104062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.484681433,1 +104063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.445780932,1 +104064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.77350183,1 +104065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.436086398,1 +104067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.431244162,1 +104069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.764333848,1 +104070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.484462301,1 +104066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.559491637,1 +104068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.344947941,1 +104073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.710956255,1 +104074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.390637691,1 +104072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.006073937,1 +104071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.120307465,1 +104076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.837011337,1 +104075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.323198089,1 +104077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.179317268,1 +104079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.319875749,1 +104078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,7.414480576,1 +104080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.047103365,1 +104081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.294880947,1 +104082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.904309543,1 +104083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.516965039,1 +104085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.204726775,1 +104087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.922870111,1 +104086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.460853341,1 +104084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.989199543,1 +104089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.510699578,1 +104090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,8.708938023,1 +104088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.901528072,1 +104091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.928227267,1 +104093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.760919198,1 +104094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.399874233,1 +104095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.518506767,1 +104092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.447633097,1 +104096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,7.027109167,1 +104097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.356817582,1 +104098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.93368472,1 +104099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.573578906,1 +104100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,7.077591124,1 +104101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.46452703,1 +104103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.894167727,1 +104102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.439172263,1 +104105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.396285708,1 +104106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.407774365,1 +104104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.366692748,1 +104109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.039366874,1 +104108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.351511636,1 +104107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.860978928,1 +104110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.55244068,1 +104112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.187851466,1 +104113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.066583201,1 +104114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.219194987,1 +104111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.14859833,1 +104115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.517804141,1 +104116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.812870669,1 +104117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.286594638,1 +104118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.112544662,1 +104119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.89808079,1 +104122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.003905526,1 +104123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.85418108,1 +104120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.462510076,1 +104124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.279290065,1 +104121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.771089166,1 +104125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.910928881,1 +104127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.974368686,1 +104128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.677703678,1 +104126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.737942543,1 +104129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.695212425,1 +104130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.114352293,1 +104131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.407279955,1 +104132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.157366286,1 +104133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.404315026,1 +104134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.212698594,1 +104136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.864337924,1 +104137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.1860987,1 +104138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.870824209,1 +104135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.281698179,1 +104141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.451684535,1 +104142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.712706893,1 +104143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.911516601,1 +104139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.965871244,1 +104140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.136042887,1 +104146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.657880431,1 +104147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.222620895,1 +104144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.261565553,1 +104148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.495628479,1 +104145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.8531962,1 +104149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.549282471,1 +104150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.789933266,1 +104152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.098961455,1 +104151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.01608596,1 +104153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.361138307,1 +104154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,7.69636975,1 +104156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.632278075,1 +104155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.817031314,1 +104157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.584879225,1 +104158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.152016873,1 +104160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.92782854,1 +104159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.190933696,1 +104162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.085426938,1 +104163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.989762138,1 +104161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.457698846,1 +104164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.951961244,1 +104167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.443064179,1 +104166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.19795746,1 +104168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.680478035,1 +104165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.15301649,1 +104169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.306699565,1 +104170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.03587955,1 +104171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.585169742,1 +104173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.762929964,1 +104172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.902679748,1 +104175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.775543994,1 +104174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.795257926,1 +104177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.297122504,1 +104176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.10686742,1 +104179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.717598005,1 +104180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.886451173,1 +104182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.822422478,1 +104178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.41103505,1 +104181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.329304452,1 +104185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.783767667,1 +104183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.478136352,1 +104186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.860447147,1 +104184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.211129139,1 +104187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.823268783,1 +104189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,7.788660169,1 +104188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.370093825,1 +104190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.851436202,1 +104191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.042738605,1 +104192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.872513583,1 +104193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.711397098,1 +104194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.661384659,1 +104195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,7.301508827,1 +104196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.127154412,1 +104197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.108996796,1 +104198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.968451002,1 +104199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.167300982,1 +104202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.044489781,1 +104200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.703163477,1 +104203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.530920249,1 +104205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.813054815,1 +104201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.542783882,1 +104204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.03379929,1 +104206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.910845287,1 +104207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.893452276,1 +104208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,8.121600563,1 +104209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.514086317,1 +104210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.743783762,1 +104211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.073068163,1 +104212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.806046208,1 +104213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.401663905,1 +104214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.909566953,1 +104215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.136274191,1 +104216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.433631331,1 +104217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.377436002,1 +104218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,7.226707442,1 +104221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.24948942,1 +104219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.074249549,1 +104220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.542909513,1 +104222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.447535288,1 +104223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.406580336,1 +104224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.509865795,1 +104225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.072335735,1 +104226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.606865966,1 +104227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.465502574,1 +104228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.98509076,1 +104229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.921924011,1 +104230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.723759401,1 +104231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.727629443,1 +104232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.504539442,1 +104234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.11776752,1 +104233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.805403986,1 +104235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.79781026,1 +104236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.363362071,1 +104237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.285969751,1 +104239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.473336798,1 +104238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.688709159,1 +104240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.070145217,1 +104241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.866377821,1 +104243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.383360389,1 +104242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,7.759498226,1 +104244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,8.169251109,1 +104245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.935881977,1 +104246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.682456902,1 +104247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.588114364,1 +104248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.01162949,1 +104249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.333570893,1 +104250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.919963102,1 +104251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.55303544,1 +104252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.313047166,1 +104254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.139486649,1 +104253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.821516134,1 +104255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.574287775,1 +104256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.256816122,1 +104258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.213137583,1 +104259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.80374147,1 +104257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.239998533,1 +104260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.233026754,1 +104263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.771117913,1 +104262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.977516901,1 +104261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.142348369,1 +104264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.744459296,1 +104265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.844141404,1 +104266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.154014438,1 +104267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.855277184,1 +104268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.715199638,1 +104269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.542441213,1 +104271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.708097106,1 +104272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,7.099315984,1 +104270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.540949634,1 +104274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.119928545,1 +104275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.960452044,1 +104273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.777953627,1 +104276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.15169536,1 +104278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.271108276,1 +104277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.377356954,1 +104279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.929061315,1 +104280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.068005992,1 +104281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.050019768,1 +104282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.834316944,1 +104283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.904896987,1 +104284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.589392797,1 +104285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.81182761,1 +104286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.187289431,1 +104287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,7.79830394,1 +104289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.692874209,1 +104290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.347682902,1 +104291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.693608491,1 +104288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.686571642,1 +104292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.091248332,1 +104293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.805431368,1 +104295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.668237274,1 +104294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.295104467,1 +104296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.94912657,1 +104297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.115218781,1 +104298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.387667086,1 +104299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.009880529,1 +104300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.624669736,1 +104301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.716630331,1 +104302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.752361516,1 +104304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.620459778,1 +104306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.205384671,1 +104305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.520393589,1 +104303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.986356443,1 +104307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.422797119,1 +104309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.193830161,1 +104310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.326280366,1 +104311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.555598217,1 +104308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.505345969,1 +104312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.50294257,1 +104313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,7.074707794,1 +104314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.356432771,1 +104315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.306177515,1 +104318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.933389473,1 +104316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.792443123,1 +104319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.153120943,1 +104317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.075603179,1 +104320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.619119473,1 +104322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.747263914,1 +104323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.436264105,1 +104321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.618222617,1 +104324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,7.480825435,1 +104325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.533440256,1 +104326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.921166025,1 +104327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.602042595,1 +104328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,7.093784345,1 +104329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.830373637,1 +104330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.036366516,1 +104331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.637357156,1 +104333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.659791492,1 +104332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.187532304,1 +104334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.500621673,1 +104335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.650563777,1 +104337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.136801763,1 +104336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.724231994,1 +104338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.362109506,1 +104339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.676799473,1 +104340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.027784133,1 +104341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.268083329,1 +104342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.550367182,1 +104343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.747779453,1 +104344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.979126964,1 +104345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.710230225,1 +104346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.128358617,1 +104347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.172590059,1 +104350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.396760493,1 +104348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.295333556,1 +104349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.480663073,1 +104351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.863396772,1 +104352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.458236749,1 +104354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.741786616,1 +104353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.715787474,1 +104356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.158682234,1 +104355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.179864425,1 +104358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,8.312406144,1 +104357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.282592752,1 +104359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.115208923,1 +104360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.05369574,1 +104361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.421656361,1 +104362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.435490815,1 +104363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.206060206,1 +104364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.481680997,1 +104366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.74145487,1 +104365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.762254468,1 +104367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.175939445,1 +104369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.965484948,1 +104370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.212198821,1 +104368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.435966606,1 +104371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.848525563,1 +104372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.346986494,1 +104373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.001701453,1 +104374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.167202736,1 +104375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.823120699,1 +104376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.607486769,1 +104377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.487452025,1 +104378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.992771576,1 +104379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.465358485,1 +104380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.691907863,1 +104381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.185018175,1 +104382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.965861196,1 +104383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.741291718,1 +104385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.223351665,1 +104384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.61688688,1 +104387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.361990192,1 +104386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.675781238,1 +104388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.701588139,1 +104389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.497945863,1 +104390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.44271208,1 +104391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.061806701,1 +104392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.280746474,1 +104393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.071727902,1 +104394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.38579418,1 +104395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.081308171,1 +104396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.798038169,1 +104397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.078579048,1 +104398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.815865179,1 +104399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.193396826,1 +104400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.646340195,1 +104401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.681741988,1 +104403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.264149195,1 +104402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.485904954,1 +104405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.85055207,1 +104404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.65444458,1 +104407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.002683573,1 +104406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.426140135,1 +104408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,7.491713969,1 +104409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.629137945,1 +104410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.345790252,1 +104411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.346362667,1 +104412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.617807354,1 +104413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.362882573,1 +104414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.745942181,1 +104415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.499655079,1 +104416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.248954926,1 +104417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.048944524,1 +104419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.203974607,1 +104418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.840765665,1 +104420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.039776898,1 +104423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.927396771,1 +104421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.063337912,1 +104424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.074316934,1 +104425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.222515244,1 +104422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.384902559,1 +104426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.714224084,1 +104427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.37394791,1 +104428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.185627582,1 +104429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.61927433,1 +104430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.496522938,1 +104431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.879236828,1 +104432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.561192221,1 +104434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.95049171,1 +104435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.489212083,1 +104433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.053196061,1 +104437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.339960873,1 +104439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.139504363,1 +104436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.538847699,1 +104438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.293763064,1 +104441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.402903855,1 +104440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.479242899,1 +104442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.529167067,1 +104443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.104769684,1 +104445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.445408751,1 +104444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.234960568,1 +104446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.277273098,1 +104447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.831932658,1 +104448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.217659764,1 +104450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.586868432,1 +104449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.615094875,1 +104451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,8.307744589,1 +104452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.141617885,1 +104453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.545258522,1 +104455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.717242587,1 +104456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.789674036,1 +104454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.999725119,1 +104457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.345695518,1 +104460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.499936854,1 +104459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.803778733,1 +104458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.541984031,1 +104461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.094411767,1 +104462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.839921704,1 +104464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.713066548,1 +104463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.069697729,1 +104465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.841237958,1 +104468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.325918698,1 +104466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.256093954,1 +104467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.622686655,1 +104469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.331612624,1 +104470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.700941787,1 +104471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.805396996,1 +104472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.417347289,1 +104473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.890971771,1 +104476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.199833942,1 +104475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.031580981,1 +104474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.57090154,1 +104477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.190135171,1 +104479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.357057865,1 +104480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.517892724,1 +104481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.78615363,1 +104478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.242059456,1 +104482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.650991245,1 +104483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.604256809,1 +104484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,7.269330738,1 +104486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.147212169,1 +104485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.605409417,1 +104487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.868087802,1 +104488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.644027491,1 +104489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.910458468,1 +104490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.747748976,1 +104491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.369232594,1 +104494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.453172173,1 +104492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.819050705,1 +104495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.465097313,1 +104493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.120581771,1 +104498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.500146903,1 +104497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.426820509,1 +104499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.880596112,1 +104500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.643190924,1 +104496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.252192843,1 +104501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.303921617,1 +104502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,7.465794713,1 +104503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.148415129,1 +104505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.240831886,1 +104504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.854731533,1 +104507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.38305251,1 +104506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.611296645,1 +104508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.87344127,1 +104509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.881308486,1 +104510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.821319096,1 +104512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.534840973,1 +104511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.273745033,1 +104513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.878063975,1 +104514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.710836265,1 +104515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.972403368,1 +104516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.191873899,1 +104518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.877356698,1 +104517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.476054944,1 +104519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.360389858,1 +104520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.875514437,1 +104521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.015205906,1 +104523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.251048208,1 +104522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.73517831,1 +104524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.460275257,1 +104525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.908452766,1 +104526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.862184386,1 +104527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.052367849,1 +104528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.816334537,1 +104529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.753639817,1 +104531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.238486316,1 +104530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.009539019,1 +104532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.637130322,1 +104533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.905730889,1 +104535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,1.974211768,1 +104534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.9296883,1 +104536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.271475819,1 +104537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.951213963,1 +104538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.151970682,1 +104539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.542049029,1 +104540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.080017772,1 +104541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.290655112,1 +104542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.19695974,1 +104543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.85605639,1 +104544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.21977559,1 +104546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.415916798,1 +104545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.34901786,1 +104547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.063551823,1 +104548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.2114877,1 +104550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.306018339,1 +104549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.192552946,1 +104552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.511372639,1 +104551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.94244261,1 +104553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.776017706,1 +104554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.846155406,1 +104555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.754454883,1 +104556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.306862028,1 +104557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.660040793,1 +104558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.984500491,1 +104559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.942256998,1 +104560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.445095155,1 +104562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.534108873,1 +104563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.428372465,1 +104561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.91671749,1 +104564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.567904391,1 +104567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.069426851,1 +104566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,7.861604849,1 +104565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.51827451,1 +104568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.82780395,1 +104569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.211160067,1 +104570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.293575724,1 +104571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.73866376,1 +104572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.67440969,1 +104574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.914128631,1 +104573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.392540804,1 +104575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.306449997,1 +104576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.000035884,1 +104577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.304640971,1 +104578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.193497133,1 +104579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.793035895,1 +104580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.453621865,1 +104581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.542264358,1 +104582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.508017972,1 +104583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.551003096,1 +104587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.371420516,1 +104584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.946714463,1 +104585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.700184084,1 +104586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.779197032,1 +104588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.811288207,1 +104589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.211476988,1 +104590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.00395574,1 +104591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.608302617,1 +104593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.907157993,1 +104592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.386055686,1 +104594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.797668004,1 +104597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.790456125,1 +104596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.07153374,1 +104598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.215708479,1 +104595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.483565361,1 +104599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.581318069,1 +104600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.266701324,1 +104602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.405117292,1 +104601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.5842111,1 +104605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.961375352,1 +104603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.593803507,1 +104606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.497994151,1 +104604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.746354345,1 +104608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.403433647,1 +104609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.83921859,1 +104610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.400541389,1 +104611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.635348983,1 +104612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.09740166,1 +104613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.606764024,1 +104607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.000954835,1 +104614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.714873646,1 +104615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.356206872,1 +104616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.84389299,1 +104618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.023343177,1 +104617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.811538362,1 +104619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.848859713,1 +104620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.018070062,1 +104622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.93560512,1 +104624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.422727023,1 +104623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.015537687,1 +104625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.07932632,1 +104621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.607201363,1 +104626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.533119454,1 +104627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.444855596,1 +104629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,7.385564943,1 +104630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.277975997,1 +104631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.060352595,1 +104632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.403627005,1 +104634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.822499143,1 +104633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.021777412,1 +104628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.528387721,1 +104635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.04278124,1 +104639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.878446818,1 +104638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,1.858151648,1 +104636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.397155297,1 +104637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.142501797,1 +104642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.130856418,1 +104641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.581250026,1 +104644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.00834977,1 +104643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.167891908,1 +104640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.384911188,1 +104645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.720257759,1 +104646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.029191684,1 +104648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.099689759,1 +104647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.968550898,1 +104649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.132970287,1 +104650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.558440223,1 +104651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.272354985,1 +104652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.95352346,1 +104655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.483042382,1 +104653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.069092021,1 +104656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.620969345,1 +104654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.312611462,1 +104658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.662036018,1 +104657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.544897736,1 +104660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.10871938,1 +104659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.606017404,1 +104661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.033194887,1 +104663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.488965499,1 +104662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.07473163,1 +104664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.471227936,1 +104665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.341450667,1 +104666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.447008904,1 +104667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.568032576,1 +104668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.13674659,1 +104670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.411188533,1 +104671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.560109634,1 +104672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,7.314204195,1 +104669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.935833798,1 +104674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.335115064,1 +104675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.370513577,1 +104676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.096199636,1 +104673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.562440171,1 +104677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.048188553,1 +104679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.901991237,1 +104680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,1.909284641,1 +104678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.236634686,1 +104681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.103190087,1 +104682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.450506815,1 +104683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.443511918,1 +104685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.652847272,1 +104684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.300294538,1 +104686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.392407929,1 +104687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.457247171,1 +104688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.103687648,1 +104689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.642642871,1 +104691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.748781324,1 +104693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.700059304,1 +104692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.829003034,1 +104690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.096726018,1 +104696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.19428052,1 +104694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.355663353,1 +104697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.715326034,1 +104695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.207136961,1 +104699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.834118511,1 +104698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.907606728,1 +104700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.145727453,1 +104701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.47660839,1 +104702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.017345118,1 +104703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.626022347,1 +104704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.751827323,1 +104705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.527005355,1 +104706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.020838518,1 +104707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.231371605,1 +104709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.563837273,1 +104710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.502199187,1 +104711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.66435302,1 +104708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.066043068,1 +104712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.560431063,1 +104715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.360479612,1 +104714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.824175857,1 +104716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.927161139,1 +104713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.920775224,1 +104718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,9.350271318,1 +104717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.581017779,1 +104719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.375056814,1 +104720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.690329999,1 +104721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.381112604,1 +104722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.898307869,1 +104723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.367121674,1 +104724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.456497176,1 +104725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.435171802,1 +104726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.574902927,1 +104727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.773217172,1 +104728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.633125684,1 +104729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.337284123,1 +104731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.760996953,1 +104732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.738272921,1 +104733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.769549826,1 +104730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.991236445,1 +104734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.326744304,1 +104735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,7.413840302,1 +104736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.511132924,1 +104738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.282765721,1 +104739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.709839048,1 +104737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.4464443,1 +104740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.08815088,1 +104742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.376547398,1 +104741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.233747032,1 +104744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.09592171,1 +104743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,7.354159739,1 +104745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.789015092,1 +104746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.984179242,1 +104748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.232941252,1 +104747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.570133371,1 +104750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,7.529390931,1 +104749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.484999643,1 +104752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.186747286,1 +104754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.347642844,1 +104753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.944452827,1 +104751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.571762209,1 +104756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.998141455,1 +104755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.163936036,1 +104757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.716996342,1 +104758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.29061117,1 +104759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.15463769,1 +104760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.335123723,1 +104761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.960789299,1 +104762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.994199141,1 +104764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.765801402,1 +104763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.564000808,1 +104765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.94175044,1 +104766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.346942753,1 +104768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.361033298,1 +104767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.316149624,1 +104769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.756252807,1 +104771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.582173174,1 +104770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.284206224,1 +104772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,7.198348103,1 +104773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.66308282,1 +104774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.751637541,1 +104775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.428260431,1 +104776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.469474152,1 +104777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.321553842,1 +104778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.28717143,1 +104779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.078152164,1 +104780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.095690295,1 +104781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.780889146,1 +104782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.691060179,1 +104783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.222725313,1 +104784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.675164326,1 +104785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.933384669,1 +104786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.412045648,1 +104788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.03344319,1 +104789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,8.402005724,1 +104790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.343812244,1 +104787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,7.439242612,1 +104791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.693641521,1 +104792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.00518156,1 +104793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.905715399,1 +104794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.520725445,1 +104795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.488929384,1 +104796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.549156935,1 +104797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.267306019,1 +104798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.284506703,1 +104799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.489307566,1 +104800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.048615888,1 +104801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.54718453,1 +104804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.994673354,1 +104802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.985186989,1 +104805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.096367097,1 +104803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.720442539,1 +104806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.74675203,1 +104808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.742935762,1 +104809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.650515581,1 +104807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.280880561,1 +104810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,7.664696191,1 +104811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.433224872,1 +104812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.279037634,1 +104813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.090085919,1 +104814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.557343285,1 +104815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.940127082,1 +104816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.324156835,1 +104817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.172874804,1 +104818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.176373347,1 +104820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.40547706,1 +104819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.556012045,1 +104821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,7.316200451,1 +104824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,7.163213731,1 +104822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.237530556,1 +104823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,7.81179052,1 +104825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.7391892,1 +104826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.558510878,1 +104827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.597025566,1 +104828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.290427716,1 +104831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.025174169,1 +104829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.355902786,1 +104830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.106890563,1 +104832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.090916088,1 +104833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.219380269,1 +104835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.708146493,1 +104836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.430363559,1 +104834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.464555899,1 +104838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.337378847,1 +104839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.254359357,1 +104840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.226759003,1 +104837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.425735464,1 +104841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.01677666,1 +104843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.324770261,1 +104842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.83925908,1 +104844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.829768981,1 +104845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.998997037,1 +104846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.318159032,1 +104847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.704038197,1 +104848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.163723416,1 +104849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.908512935,1 +104851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.396771184,1 +104852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.442718549,1 +104850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.195111073,1 +104853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.202757306,1 +104855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.236945341,1 +104854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.740468886,1 +104856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.999096197,1 +104857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.094269842,1 +104858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.022821983,1 +104859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.430525847,1 +104860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.804636066,1 +104862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.926598039,1 +104861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.643772061,1 +104863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.788202184,1 +104864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.435560759,1 +104867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.152412512,1 +104866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,7.885942388,1 +104865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.009915289,1 +104869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.953922384,1 +104870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.906672814,1 +104868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.871431648,1 +104871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.081265693,1 +104872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.581896251,1 +104874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.260723262,1 +104873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.51279167,1 +104875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,7.597543457,1 +104877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.642136651,1 +104878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.037218585,1 +104876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.656779582,1 +104879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.825415191,1 +104881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.839873908,1 +104880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.76779287,1 +104882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.274721216,1 +104883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.28839185,1 +104884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.254633371,1 +104885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.903106344,1 +104887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.53150437,1 +104886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.83776173,1 +104888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.97728264,1 +104889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.713854853,1 +104892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.712864388,1 +104891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.71905359,1 +104890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.807837339,1 +104893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.331657489,1 +104895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.085930366,1 +104896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.736547915,1 +104894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.149979155,1 +104898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.768120766,1 +104897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.332726033,1 +104900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.708698071,1 +104899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.995353402,1 +104901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.886755459,1 +104903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.81190051,1 +104902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.147987001,1 +104904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.776834647,1 +104905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.033574834,1 +104906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.20717165,1 +104907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.777960678,1 +104908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.442086368,1 +104909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.309848951,1 +104910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.188784172,1 +104912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.105023215,1 +104911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.32782896,1 +104913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,7.720009775,1 +104915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,7.612967407,1 +104914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.016390155,1 +104916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,7.230127945,1 +104917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.868465333,1 +104918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.935557068,1 +104919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.801684792,1 +104920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.682987769,1 +104921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.27785683,1 +104922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.116282205,1 +104923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.58393881,1 +104924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.069805569,1 +104926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.818866253,1 +104925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.613774745,1 +104927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.040928719,1 +104928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.476722184,1 +104929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.936459899,1 +104930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.695158087,1 +104931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.486165721,1 +104933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.928225147,1 +104932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.814094613,1 +104934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.148806785,1 +104935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.158398141,1 +104937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.838098626,1 +104936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.828408577,1 +104938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.28443555,1 +104940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.976631098,1 +104941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.79991843,1 +104939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.255338306,1 +104942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,7.062746821,1 +104945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.491654067,1 +104944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.022395581,1 +104943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.949932886,1 +104946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.529346331,1 +104947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.81936254,1 +104948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.284680573,1 +104949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.510260328,1 +104950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.474621693,1 +104951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.368324703,1 +104952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.353016043,1 +104954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.869705942,1 +104955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.184321153,1 +104953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.024142059,1 +104956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.312510166,1 +104957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.467989124,1 +104958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.813388002,1 +104959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.642003033,1 +104960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.932135485,1 +104961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.027025804,1 +104962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.242415668,1 +104964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.984829261,1 +104963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.557538459,1 +104965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.704465795,1 +104966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.610432661,1 +104968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.221467,1 +104967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.915231207,1 +104969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,8.128952277,1 +104971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.700068832,1 +104973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.190345277,1 +104970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.851457982,1 +104972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.222656093,1 +104976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.335400318,1 +104975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,8.519178297,1 +104977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.511490139,1 +104974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.854366447,1 +104979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.957428451,1 +104980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.087619176,1 +104978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.764503636,1 +104981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.840612302,1 +104983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.260562332,1 +104982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.461707523,1 +104984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.683065539,1 +104985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.042656706,1 +104988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.891851645,1 +104986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,7.719555594,1 +104987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,2.9862047,1 +104991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.10223432,1 +104990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.539227217,1 +104992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.522529803,1 +104994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.837810131,1 +104995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.375840281,1 +104993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.065559968,1 +104989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.929129569,1 +104996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.316392895,1 +104998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,6.414484838,1 +104997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,4.880739042,1 +104999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,3.636150559,1 +105000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,5,1,5.655341981,1 +114001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.37198868,1 +114002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.583849976,1 +114003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.848713763,1 +114004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.132544389,1 +114005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.748966373,1 +114006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.272708469,1 +114007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.289923093,1 +114008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.937349162,1 +114009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.600673354,1 +114010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.429172366,1 +114011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.043544527,1 +114012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.00426655,1 +114013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.374314636,1 +114016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.906445468,1 +114014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.878148978,1 +114015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.268493297,1 +114017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,7.685834834,1 +114018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.626993787,1 +114019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.896420024,1 +114020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.769608038,1 +114021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.117973613,1 +114022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.434430376,1 +114023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.824837598,1 +114024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.418977224,1 +114027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.796397681,1 +114028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.610557602,1 +114025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.071018661,1 +114026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.004595709,1 +114029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.060667454,1 +114030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.969236085,1 +114031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.890006262,1 +114032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.796323181,1 +114033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.232126962,1 +114034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.17002543,1 +114035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.472835821,1 +114036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.965772581,1 +114037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.701311358,1 +114038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.393924178,1 +114039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.747345031,1 +114040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.035258987,1 +114041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.609841252,1 +114042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.482573731,1 +114043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.742207734,1 +114044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.945232896,1 +114045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.207205207,1 +114046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.924085017,1 +114048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.528358734,1 +114049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.037581753,1 +114050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.419457619,1 +114047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.968411466,1 +114051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.499850563,1 +114052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.168889348,1 +114053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,7.091444291,1 +114055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.400869153,1 +114056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.663549776,1 +114057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.943699947,1 +114054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.613863824,1 +114060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.336615714,1 +114059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.890158484,1 +114061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.952871577,1 +114058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.783883433,1 +114062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.305325552,1 +114063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.961440247,1 +114065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.733119049,1 +114066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.395806699,1 +114067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.264090652,1 +114064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.584273979,1 +114068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.783526724,1 +114069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.85790519,1 +114070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.791267614,1 +114072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.675390304,1 +114071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.506283673,1 +114074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.319905587,1 +114073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.366374869,1 +114075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.222724223,1 +114076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.311589731,1 +114077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.329095502,1 +114078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.768010476,1 +114079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.409432755,1 +114081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.16425329,1 +114080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,7.196352941,1 +114082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.722740584,1 +114083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.053927533,1 +114084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.540846713,1 +114086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.933287065,1 +114087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.476801764,1 +114085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.910830535,1 +114089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.355990596,1 +114088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.847083871,1 +114091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.11817924,1 +114090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.951473736,1 +114092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.692407678,1 +114093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.801350632,1 +114095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.434713842,1 +114096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.439537268,1 +114094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.866979378,1 +114097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.821347848,1 +114098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.801307901,1 +114099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.039362079,1 +114100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,7.320481845,1 +114101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.088111854,1 +114102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.34866057,1 +114103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.771695564,1 +114105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.834346023,1 +114104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.287893286,1 +114106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.225882127,1 +114107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.337145084,1 +114108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.943764851,1 +114109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.744877683,1 +114110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.656235878,1 +114111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.666289917,1 +114112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.610624231,1 +114114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.303540387,1 +114115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,7.385802751,1 +114113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.560418249,1 +114117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.316469754,1 +114116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.647138757,1 +114118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,7.097835861,1 +114119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.984608641,1 +114120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.086866073,1 +114121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.744041756,1 +114122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.663811017,1 +114123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.022827217,1 +114124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.237311492,1 +114126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.487629032,1 +114125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.149405563,1 +114127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.721213369,1 +114128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.275169103,1 +114129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.353125571,1 +114130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.690441315,1 +114131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,7.06443478,1 +114132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.101281214,1 +114133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.488394038,1 +114134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.353033403,1 +114136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.399946555,1 +114137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.432060327,1 +114138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.76904316,1 +114135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.168436182,1 +114139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.673924103,1 +114140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.814592775,1 +114141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.957456975,1 +114142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.925241664,1 +114143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.32680533,1 +114144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.861078687,1 +114145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.326091216,1 +114146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.645702508,1 +114148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.755554872,1 +114147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.309739355,1 +114149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.91925403,1 +114150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.65268511,1 +114152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.350309374,1 +114151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.685432994,1 +114153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.439845274,1 +114155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.300830403,1 +114156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.741427768,1 +114154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.376232222,1 +114158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.273023386,1 +114159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.803839449,1 +114157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.748857099,1 +114160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.902702035,1 +114162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.919606427,1 +114161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.339563565,1 +114164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.40786477,1 +114163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.168596385,1 +114166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.034976055,1 +114167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.625924593,1 +114165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.613983437,1 +114168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.484378827,1 +114170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.750780391,1 +114169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.888042323,1 +114171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.691111415,1 +114173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.36794497,1 +114174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.555434132,1 +114175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.070199023,1 +114172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.058832928,1 +114176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.424981968,1 +114177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.028697197,1 +114178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.382231468,1 +114182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.373063085,1 +114180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.329409731,1 +114179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.349811554,1 +114181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.193708329,1 +114185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.265578308,1 +114184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.872697082,1 +114183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.797395779,1 +114186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.257748457,1 +114187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.894552519,1 +114188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.569219756,1 +114189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.942273743,1 +114190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.371076231,1 +114192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.53529765,1 +114194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.774840264,1 +114193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.732271792,1 +114195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.209181399,1 +114191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.616848431,1 +114196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.285528614,1 +114197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.268994626,1 +114199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.117192262,1 +114198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.335227323,1 +114200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.463268721,1 +114201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.741289488,1 +114202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,7.975595162,1 +114203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.594190849,1 +114204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.226368664,1 +114205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.533702565,1 +114206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.639645151,1 +114207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.839938131,1 +114208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.32274969,1 +114211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.789532431,1 +114210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.020074169,1 +114209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.33673497,1 +114212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.32692092,1 +114214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.982688721,1 +114213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.826020007,1 +114216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.232923995,1 +114217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.989435099,1 +114218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.692470318,1 +114219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.016064293,1 +114215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.780801669,1 +114220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.470789486,1 +114221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.554592572,1 +114222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.680880664,1 +114224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.020664029,1 +114225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.207357999,1 +114226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.298312399,1 +114223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.037336708,1 +114230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.594321798,1 +114227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.417099069,1 +114228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,8.500937458,1 +114229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.278006333,1 +114231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.543348021,1 +114232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.569598293,1 +114234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.871067578,1 +114233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.966886219,1 +114236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.126124076,1 +114238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.476935513,1 +114237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.007898456,1 +114240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.480616083,1 +114239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.785099732,1 +114241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,7.222598539,1 +114235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.337931253,1 +114245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.554863666,1 +114243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.51787811,1 +114244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.724940489,1 +114242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.678281352,1 +114246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.112609805,1 +114247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.496708601,1 +114248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.963755459,1 +114249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.24486983,1 +114252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.374988438,1 +114251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.173240704,1 +114250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.548997401,1 +114253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.066833925,1 +114254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.967645894,1 +114255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.428221258,1 +114257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.602783406,1 +114258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.812733963,1 +114256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.201612907,1 +114260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.206262316,1 +114261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.462288759,1 +114259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.048726904,1 +114262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.468152779,1 +114264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.161212309,1 +114265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.647363957,1 +114263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.753786433,1 +114266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,8.296201278,1 +114267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.637628053,1 +114268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.471256804,1 +114272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.786946323,1 +114269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.599209482,1 +114271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.388883869,1 +114270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.156622146,1 +114274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.209271227,1 +114276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.816615733,1 +114275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.523830179,1 +114273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.586067089,1 +114277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.716383089,1 +114278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.757056489,1 +114279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.354764199,1 +114280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.26467464,1 +114281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.703757999,1 +114282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.726853081,1 +114283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.873442252,1 +114284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.87785057,1 +114285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.999475317,1 +114286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.679509225,1 +114287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.066952319,1 +114288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.107508064,1 +114292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.31172275,1 +114291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.822789984,1 +114289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.378569792,1 +114290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.394140027,1 +114293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.989101303,1 +114295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.109033251,1 +114296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.455168056,1 +114294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.448024954,1 +114297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.302434819,1 +114298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.115069958,1 +114300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.072698947,1 +114302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.448102789,1 +114299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,8.342809423,1 +114303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.929431303,1 +114301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.541909369,1 +114305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.940532556,1 +114306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.985619695,1 +114304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.101135769,1 +114307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.271836892,1 +114308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,7.838408748,1 +114309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.422147815,1 +114310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.662389217,1 +114311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.824641888,1 +114314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.299763642,1 +114315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.020607062,1 +114313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.948896818,1 +114316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.569084209,1 +114318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.308175417,1 +114312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.105820325,1 +114319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.207694272,1 +114320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.418783821,1 +114317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.91120434,1 +114321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.155598518,1 +114323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.338437377,1 +114322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.408805854,1 +114324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.742635212,1 +114325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.663733709,1 +114327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.303510574,1 +114328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.901676182,1 +114329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.847904923,1 +114330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.657854544,1 +114326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.49084124,1 +114331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.673012725,1 +114333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.090139508,1 +114334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.684168197,1 +114332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.241333,1 +114337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.478023362,1 +114335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.707314669,1 +114338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.823733146,1 +114336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.404647366,1 +114339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.64429405,1 +114340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.014505849,1 +114342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,7.571620246,1 +114341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.055340391,1 +114344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.088853125,1 +114345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.151585784,1 +114347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,7.221127809,1 +114343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.829378866,1 +114348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.656633657,1 +114346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.234083993,1 +114350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.838898287,1 +114349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.46128229,1 +114353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.640013387,1 +114351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.865333837,1 +114352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.023780547,1 +114354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.292344841,1 +114355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.325112968,1 +114357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.747031088,1 +114356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.744815072,1 +114358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.056042635,1 +114359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.08921673,1 +114361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.838173887,1 +114362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.652849173,1 +114360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.574754293,1 +114364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,7.119563163,1 +114365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.841601252,1 +114366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.028685357,1 +114363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.281642964,1 +114367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.989963078,1 +114368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.337112481,1 +114370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.452993193,1 +114369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.394314899,1 +114371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.842475144,1 +114372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.545441004,1 +114373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.08823569,1 +114375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.875174932,1 +114376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.624417265,1 +114377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.517337609,1 +114374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.518589823,1 +114378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.26600568,1 +114379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.368520813,1 +114381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.388044315,1 +114380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.983326253,1 +114382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.158751617,1 +114383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,8.187283523,1 +114384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.672669144,1 +114385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.79290761,1 +114387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.396102145,1 +114386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.523750669,1 +114389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.23998565,1 +114390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.893501261,1 +114388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.208253874,1 +114391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.003844457,1 +114392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.641008093,1 +114394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.137155042,1 +114395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.20386572,1 +114393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.310758728,1 +114397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.03047134,1 +114396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.932668604,1 +114398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.368256109,1 +114399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.276826757,1 +114401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.807286597,1 +114402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.824921022,1 +114400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.3008899,1 +114403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.028675935,1 +114404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.115517227,1 +114405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.715733993,1 +114407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.258572427,1 +114406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.690004518,1 +114408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.704887426,1 +114409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.240473682,1 +114411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.536419031,1 +114410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.850703723,1 +114413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.755415742,1 +114412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.203669885,1 +114414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.498776558,1 +114415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.847972192,1 +114416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.518307769,1 +114417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.072583984,1 +114418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.2054136,1 +114419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.851927976,1 +114420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.9161403,1 +114421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.958947872,1 +114423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.802488076,1 +114422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.938388774,1 +114424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.737845083,1 +114425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.739988453,1 +114426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.974039256,1 +114427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.65663194,1 +114428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.940617679,1 +114429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.320960653,1 +114430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.320432281,1 +114432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.04434276,1 +114433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,7.427110662,1 +114434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.575121884,1 +114431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.249621187,1 +114435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.094958365,1 +114436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.64692373,1 +114437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.663902994,1 +114439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.133244436,1 +114440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.384945372,1 +114438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.521870211,1 +114441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.633429418,1 +114442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.926449172,1 +114444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.758707173,1 +114445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.96788868,1 +114443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.928106787,1 +114446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.259464296,1 +114449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.978859077,1 +114448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.459253307,1 +114450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.550532802,1 +114447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.63402303,1 +114452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.98890634,1 +114451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.167714628,1 +114453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.937299469,1 +114455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.429394135,1 +114456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.158678714,1 +114454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.709674101,1 +114457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.045164272,1 +114459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.409504677,1 +114458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.876307055,1 +114460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.771772877,1 +114461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.800743784,1 +114463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.489864528,1 +114462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.957357675,1 +114464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.44110004,1 +114465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.338087365,1 +114466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.266304003,1 +114467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.237776597,1 +114469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.473532321,1 +114470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.502055198,1 +114471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.545124133,1 +114468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.207871282,1 +114472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.027984575,1 +114474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.920697794,1 +114473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.712918336,1 +114475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,7.36337851,1 +114476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.183122328,1 +114477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.332993963,1 +114478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.289656599,1 +114479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.356632338,1 +114480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,1.532230073,1 +114481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.982226822,1 +114482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.565929373,1 +114483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,7.101127292,1 +114484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.414589992,1 +114485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.561374192,1 +114486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.998728546,1 +114488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.311033228,1 +114489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.686471231,1 +114487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.874265307,1 +114490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.534535291,1 +114491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.281475882,1 +114492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.324979652,1 +114494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.700377829,1 +114495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,1.770965078,1 +114496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.549728526,1 +114493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.175235627,1 +114497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.969861775,1 +114498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.625206873,1 +114499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.084298157,1 +114501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.433595763,1 +114502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.548914958,1 +114500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.720013854,1 +114503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.252953297,1 +114504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.889545354,1 +114506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.792339163,1 +114505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.277406524,1 +114507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.393236439,1 +114508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.14220028,1 +114510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.049477003,1 +114511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.816369753,1 +114512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.34029484,1 +114514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.479925705,1 +114509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.701818798,1 +114513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.042893,1 +114515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.741377206,1 +114516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.002653107,1 +114518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.500821709,1 +114517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.154281572,1 +114519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.91812666,1 +114522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.355926877,1 +114520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.215327163,1 +114523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.536273299,1 +114521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.832302594,1 +114525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.120740458,1 +114526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.397591102,1 +114527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.50819952,1 +114528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.89238748,1 +114529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.315087408,1 +114530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.44268142,1 +114524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.627616275,1 +114531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.977792657,1 +114532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.088360776,1 +114533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.850354113,1 +114534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.558120165,1 +114535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.164299052,1 +114537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.092359237,1 +114539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.313504634,1 +114536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.35345274,1 +114538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,7.048065952,1 +114540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.688841185,1 +114542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.984983694,1 +114541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.358854361,1 +114543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.390607999,1 +114544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.268282081,1 +114546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.209009227,1 +114545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.978082386,1 +114548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.270281162,1 +114549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.509022452,1 +114550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.999573332,1 +114547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.45948417,1 +114551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.887624693,1 +114552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.317061477,1 +114553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.474939491,1 +114554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.906844057,1 +114556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.843273042,1 +114557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,7.44900124,1 +114555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.121287107,1 +114559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.91684038,1 +114558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.672248962,1 +114561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,9.458396528,1 +114560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.292899437,1 +114562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.037745227,1 +114564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.768964763,1 +114565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.60167064,1 +114563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.114514522,1 +114567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.629251954,1 +114569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.782641048,1 +114566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.52849708,1 +114568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.724926587,1 +114570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.262851236,1 +114571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.116551147,1 +114572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,7.03380302,1 +114573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,7.135476563,1 +114574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.530809022,1 +114575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.748934559,1 +114576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.2976197,1 +114577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.974232412,1 +114578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.124595907,1 +114580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.731611105,1 +114579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.451174825,1 +114581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.693286061,1 +114583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.730993945,1 +114584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.750741225,1 +114582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.114539943,1 +114586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.863716101,1 +114587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.636450871,1 +114588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.683662569,1 +114585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.570068399,1 +114589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,8.991766513,1 +114590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.331136884,1 +114591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.082245269,1 +114593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.313609736,1 +114594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.154826244,1 +114595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,1.705963605,1 +114592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.118367097,1 +114598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.084092718,1 +114597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.535225585,1 +114596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.362115497,1 +114599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.919800755,1 +114602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.731825603,1 +114600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.19583169,1 +114601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.485115747,1 +114604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.548625339,1 +114605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.525608117,1 +114603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.551001358,1 +114606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,7.597892587,1 +114607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.684346786,1 +114608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.346625201,1 +114610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.125635134,1 +114612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.250921056,1 +114611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.933125095,1 +114609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.149814226,1 +114613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.80619989,1 +114616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.017421278,1 +114615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.885152187,1 +114614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.369353776,1 +114617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.39183174,1 +114619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.427231371,1 +114618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.368732207,1 +114620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.588957184,1 +114621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.075386899,1 +114622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.344164663,1 +114624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.814230294,1 +114625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.53369897,1 +114626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.485365714,1 +114627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.222080447,1 +114623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.515899985,1 +114631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.514473415,1 +114628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.485428749,1 +114629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.620366564,1 +114630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.940993735,1 +114632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.890280602,1 +114633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.734745271,1 +114634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.308711152,1 +114635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.274870197,1 +114637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.236439906,1 +114638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.691569975,1 +114639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.998921516,1 +114636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.026678231,1 +114640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.073850176,1 +114641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.60216328,1 +114642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.450709163,1 +114645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.440392448,1 +114643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.844501104,1 +114644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.758699821,1 +114646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.776665695,1 +114647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.327875965,1 +114648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.926031728,1 +114649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.01686917,1 +114650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.218639635,1 +114651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,1.386491345,1 +114653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.537715044,1 +114652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.85811242,1 +114654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.393143666,1 +114655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.874283706,1 +114656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.301177231,1 +114658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.542237313,1 +114657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.480063707,1 +114659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.356458744,1 +114660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.109664153,1 +114661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.090435488,1 +114663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.963476526,1 +114665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.935185193,1 +114664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.723535616,1 +114662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.997203214,1 +114666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.856578993,1 +114667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.331922785,1 +114668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.663413449,1 +114669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.752088678,1 +114670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.122342097,1 +114671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.528162726,1 +114672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.575025197,1 +114673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.158044875,1 +114675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.816517601,1 +114674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.406428529,1 +114676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.12806036,1 +114678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.431675959,1 +114679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.67625915,1 +114680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.888285994,1 +114682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.574153573,1 +114681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.743683962,1 +114683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.725845168,1 +114677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.118961028,1 +114684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.400363599,1 +114685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.601044155,1 +114686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.435001679,1 +114687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.643876312,1 +114688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.183339024,1 +114689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.262963676,1 +114690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.242658985,1 +114691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.257171883,1 +114692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.684003114,1 +114693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.251297336,1 +114694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.775066283,1 +114695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.695073953,1 +114696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.460708352,1 +114697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.686889393,1 +114698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.788482241,1 +114700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.564908017,1 +114701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.535954632,1 +114702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.084990999,1 +114703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.917914491,1 +114699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.607983039,1 +114704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.503806873,1 +114705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.289414207,1 +114707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.460182107,1 +114706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.111502198,1 +114708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.628547967,1 +114709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.653680635,1 +114711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,7.098106503,1 +114710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.174183829,1 +114712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.571777833,1 +114713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.979793506,1 +114714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.854038668,1 +114716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.825291004,1 +114717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.20096486,1 +114718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.684851565,1 +114719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.907181877,1 +114715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.491611716,1 +114721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.366873932,1 +114720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.601994694,1 +114723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.073413919,1 +114722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.086609582,1 +114724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.309570407,1 +114725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.008141003,1 +114726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.359405928,1 +114727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.715669862,1 +114728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.259181665,1 +114729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.755441665,1 +114731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.086134652,1 +114732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.072401865,1 +114730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.864331253,1 +114733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.001725192,1 +114734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.313108722,1 +114735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.822796338,1 +114736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.502471582,1 +114737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.661800761,1 +114738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.640141416,1 +114740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.370852494,1 +114741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.917145958,1 +114739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.747244448,1 +114742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.449665356,1 +114745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.471521894,1 +114744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.761324753,1 +114743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.414804437,1 +114746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.866479358,1 +114747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.861102248,1 +114748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.542807911,1 +114749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.171874965,1 +114750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.774533426,1 +114752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.378134001,1 +114751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.546055484,1 +114754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.828503795,1 +114753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.504632125,1 +114755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.467083161,1 +114756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.937374687,1 +114757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.974408024,1 +114758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.047997633,1 +114759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.726615958,1 +114761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.744393584,1 +114760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.172275733,1 +114762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.589402816,1 +114763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.306884614,1 +114764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.704285182,1 +114765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.32476204,1 +114766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.183390842,1 +114768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.133255258,1 +114769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.41543286,1 +114767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.409743122,1 +114771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.818444645,1 +114773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.994427136,1 +114772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.741606904,1 +114774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.693012003,1 +114770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.60382187,1 +114775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.480963795,1 +114776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.794347129,1 +114777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.402332644,1 +114778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.266755606,1 +114780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.944788912,1 +114779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.170405621,1 +114782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,7.280077587,1 +114781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.50381371,1 +114784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.116270108,1 +114786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.527292857,1 +114783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.018529631,1 +114787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.623034319,1 +114788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.305814848,1 +114785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.080291802,1 +114789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.367952946,1 +114790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.485459807,1 +114791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,7.703240379,1 +114793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.912632264,1 +114792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.364061774,1 +114794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.833592805,1 +114796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.457585753,1 +114797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.871483659,1 +114795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.738558559,1 +114799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.961001622,1 +114798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.644297905,1 +114801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,7.526723316,1 +114800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.680947335,1 +114803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.477788781,1 +114804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.251971992,1 +114802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.199509664,1 +114806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.702777802,1 +114807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.189724284,1 +114808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.130450096,1 +114805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.355675378,1 +114809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.880332243,1 +114810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.41155378,1 +114811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,7.187624499,1 +114813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.851325785,1 +114815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.196473858,1 +114812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.945545171,1 +114816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.621710945,1 +114814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.582174142,1 +114819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.491195388,1 +114818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.834105693,1 +114820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,1.66707969,1 +114821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.171920633,1 +114822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.278415451,1 +114823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.044370292,1 +114817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.296160237,1 +114824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.346251889,1 +114826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.241564881,1 +114827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.432957015,1 +114828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.658051787,1 +114830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.301427609,1 +114829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.659291332,1 +114825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.209708358,1 +114831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.23687314,1 +114832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.34940183,1 +114833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.148516965,1 +114834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.98350799,1 +114835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.479502985,1 +114837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.982210181,1 +114838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.832175496,1 +114839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.641092887,1 +114840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.934025737,1 +114836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.843570719,1 +114841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.691855061,1 +114844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.045420524,1 +114843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.781479789,1 +114842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,7.082098596,1 +114845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.288844436,1 +114846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.881313543,1 +114847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.278073189,1 +114848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.798794524,1 +114849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.461188243,1 +114850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.510509671,1 +114851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.997325031,1 +114852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.833830029,1 +114853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.845595792,1 +114855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.237265818,1 +114856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.964693315,1 +114859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.696572789,1 +114854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.774902365,1 +114857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.150980433,1 +114858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.231300969,1 +114861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.460146578,1 +114860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.736569012,1 +114863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.775299613,1 +114862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.79534711,1 +114864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.144726303,1 +114865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.900488537,1 +114866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.642112639,1 +114867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.220635236,1 +114869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.306061755,1 +114868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.277390475,1 +114870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.954027546,1 +114871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.97847431,1 +114874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.881187984,1 +114873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.073080963,1 +114872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.282722491,1 +114875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.772416863,1 +114878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.399238653,1 +114876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.626631003,1 +114877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.095248902,1 +114879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.660705904,1 +114880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.867157588,1 +114881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.74942831,1 +114882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.402011317,1 +114883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.620297431,1 +114884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.703672238,1 +114886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.853528687,1 +114885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.423046264,1 +114887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.854801053,1 +114890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.953356776,1 +114889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.831961689,1 +114888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.655289051,1 +114892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.521240419,1 +114893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.616795546,1 +114894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.270720961,1 +114895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.127715276,1 +114896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.892158125,1 +114897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.685269167,1 +114898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.587658016,1 +114899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.077934743,1 +114891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.647906291,1 +114900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.653270312,1 +114901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.210920298,1 +114902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.442969293,1 +114904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.758760894,1 +114903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.444130917,1 +114906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.589124563,1 +114907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,7.289338417,1 +114905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.738691214,1 +114908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.235924697,1 +114909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,7.181056864,1 +114910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.823469934,1 +114911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.90899186,1 +114913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.990863681,1 +114914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.499557014,1 +114915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.980162482,1 +114916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.112039634,1 +114917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.06133878,1 +114918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.238807338,1 +114912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.378095298,1 +114922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.695113621,1 +114921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.263613802,1 +114919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.741960507,1 +114920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.86749939,1 +114923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.648163961,1 +114925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.61950864,1 +114924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.42305922,1 +114926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.338216803,1 +114928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.861551943,1 +114929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.142210321,1 +114927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.123519929,1 +114930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.878328296,1 +114931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.19818754,1 +114932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.654183473,1 +114934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,7.518900516,1 +114933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.198998241,1 +114935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,7.000714561,1 +114936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.375264296,1 +114937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.496988687,1 +114938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.170565901,1 +114939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.1408396,1 +114940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.658144064,1 +114941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.613965879,1 +114943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.798174782,1 +114944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.799249305,1 +114942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.562169315,1 +114945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.525030844,1 +114946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.278210527,1 +114947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.165253307,1 +114948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.344084769,1 +114949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.909942089,1 +114951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.713760345,1 +114950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.013345356,1 +114953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.472551714,1 +114952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.970241575,1 +114954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.905835234,1 +114955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.087276443,1 +114956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.509260891,1 +114958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.368092356,1 +114957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.862535553,1 +114959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.941745399,1 +114960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.66287909,1 +114961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.041153203,1 +114963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.406716885,1 +114962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.426959555,1 +114964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.426770658,1 +114965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.534721089,1 +114966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.149006872,1 +114967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.641240941,1 +114970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.742197173,1 +114969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.750244469,1 +114971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.634803815,1 +114968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.784234861,1 +114972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.59648694,1 +114975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.412405369,1 +114974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.579111477,1 +114976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.207181085,1 +114973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.592323434,1 +114977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.577243708,1 +114978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,6.330102463,1 +114981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.201152624,1 +114980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.697816088,1 +114979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.749044489,1 +114982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.68461503,1 +114984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.456141874,1 +114985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,3.235113465,1 +114983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.053835458,1 +114986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.299985576,1 +114988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.886596874,1 +114989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.209359505,1 +114991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.570804268,1 +114990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.119829681,1 +114987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,7.321103142,1 +114993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.423717509,1 +114992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.309585803,1 +114994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.280696021,1 +114995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.767542367,1 +114997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.869064449,1 +114998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,2.937916102,1 +114996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.385527625,1 +114999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,4.875945881,1 +115000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,5,1,5.866164773,1 +124001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.919277524,1 +124002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.939759781,1 +124003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.475877665,1 +124005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.671533752,1 +124004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.388766619,1 +124006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.263662271,1 +124007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.97420026,1 +124008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.183937181,1 +124009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.325911963,1 +124011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.137349307,1 +124010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.385462579,1 +124012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.801990325,1 +124013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.95119631,1 +124014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.802229766,1 +124015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.093903103,1 +124016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.949733825,1 +124017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.358044185,1 +124018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.7468663,1 +124020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.09256883,1 +124019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.163546907,1 +124021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.71779078,1 +124022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.440622569,1 +124023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.839024022,1 +124024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.90799689,1 +124025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.072648709,1 +124026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.777789398,1 +124027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.668793482,1 +124028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.989556744,1 +124029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.82511791,1 +124030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.70178395,1 +124031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,8.132430509,1 +124032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.414891025,1 +124033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,7.35859968,1 +124034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.330897213,1 +124035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.830672298,1 +124036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.670580501,1 +124038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.465902302,1 +124037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.062505594,1 +124039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.071747927,1 +124042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.537133203,1 +124041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.323772186,1 +124043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.126668247,1 +124044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.118147011,1 +124040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.100177606,1 +124045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.830640913,1 +124046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.003584967,1 +124047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.212472054,1 +124049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.462911403,1 +124050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.786307749,1 +124048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.267262714,1 +124051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.554883428,1 +124052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.022545938,1 +124053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.626382823,1 +124054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.103543553,1 +124057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.513462969,1 +124055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.101464891,1 +124056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.45038331,1 +124058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.166318074,1 +124060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.274953528,1 +124059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.94277028,1 +124061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.08363202,1 +124063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.976892161,1 +124064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.834742457,1 +124065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.036974064,1 +124066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.613738118,1 +124068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.01567849,1 +124062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.556552953,1 +124067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,7.012781128,1 +124071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.534015045,1 +124072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,7.019199893,1 +124069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.190913642,1 +124070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.12647166,1 +124073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.257514338,1 +124074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.468204501,1 +124075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.859498342,1 +124076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.304039682,1 +124077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.441302426,1 +124078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.308752041,1 +124079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.561041544,1 +124080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.214692404,1 +124084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.905691554,1 +124083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.24757858,1 +124081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.609207818,1 +124082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.128339359,1 +124085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.427798804,1 +124087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.93495504,1 +124086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.945622175,1 +124088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.634916792,1 +124089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.660539409,1 +124090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.06587606,1 +124092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.633122188,1 +124091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.005690595,1 +124093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.135514975,1 +124096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.786817664,1 +124095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.950118918,1 +124097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.687222114,1 +124098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.178478025,1 +124094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.024172241,1 +124099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.937609133,1 +124100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.452081504,1 +124102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.827192992,1 +124101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.018475774,1 +124104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.646710727,1 +124103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.464621001,1 +124105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.420685598,1 +124107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.311562184,1 +124106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.859463293,1 +124108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.497011856,1 +124111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.378036247,1 +124110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.826766647,1 +124112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.722561052,1 +124109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,8.084110587,1 +124113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.097092863,1 +124115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.631873074,1 +124114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,7.462529973,1 +124116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.945099876,1 +124117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.313011145,1 +124118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.126269451,1 +124119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.600858699,1 +124122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.622434999,1 +124121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.391763885,1 +124123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.575409061,1 +124120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.407357478,1 +124125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.934985095,1 +124124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.853866231,1 +124126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.701813702,1 +124127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.310545435,1 +124128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.214543071,1 +124130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.793181418,1 +124129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.077799016,1 +124131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.079917213,1 +124132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.626866836,1 +124134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.246652314,1 +124133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.028617439,1 +124135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.057305103,1 +124136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.206791997,1 +124137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.695174444,1 +124138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.989621967,1 +124139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.223528741,1 +124141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.410801145,1 +124140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.276156376,1 +124142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.174470053,1 +124143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.657842439,1 +124145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.043888895,1 +124146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.078960829,1 +124144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.484682254,1 +124147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.055986696,1 +124148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.958157801,1 +124150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.167706044,1 +124149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.246226543,1 +124152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.646101159,1 +124153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.771059874,1 +124154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.295958745,1 +124151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.57696818,1 +124155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.093618044,1 +124156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.650599392,1 +124157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.069654409,1 +124159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.721112852,1 +124161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.808487455,1 +124160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.673830942,1 +124158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.920406259,1 +124162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.134838822,1 +124163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.53834555,1 +124165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.994577313,1 +124164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,8.627230689,1 +124166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.546167101,1 +124167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.869967443,1 +124168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.06871021,1 +124169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.227333427,1 +124170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.815666661,1 +124171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.255241446,1 +124173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.170960494,1 +124174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.465500422,1 +124175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.925420753,1 +124176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.801078679,1 +124177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.277205242,1 +124172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.594123087,1 +124178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.346502145,1 +124179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.418647061,1 +124181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.284129655,1 +124180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.793171516,1 +124182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.604927877,1 +124183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.342295338,1 +124184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.776307598,1 +124185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.489692523,1 +124186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.226693228,1 +124189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.946102783,1 +124187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,8.933040745,1 +124188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,7.488858129,1 +124190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.367608288,1 +124191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.542875291,1 +124192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.695841227,1 +124194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.978774643,1 +124195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.28481339,1 +124193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.86358039,1 +124196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,7.529842023,1 +124197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.694824779,1 +124198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.328738122,1 +124200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.320104677,1 +124199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.459859866,1 +124201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.45726263,1 +124202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.42818073,1 +124203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.259988728,1 +124204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.851591248,1 +124205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.526724754,1 +124206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.846264997,1 +124207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.353711835,1 +124209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.975999633,1 +124210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.333890377,1 +124208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.410503966,1 +124211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.159542155,1 +124212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.623158595,1 +124214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.305309659,1 +124213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.773712026,1 +124215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.389880018,1 +124217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.604184716,1 +124216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.108408552,1 +124218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.877348549,1 +124219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.530247077,1 +124220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.167427882,1 +124221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.719645221,1 +124222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.028439653,1 +124223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.064895351,1 +124225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.934947038,1 +124224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.334567767,1 +124226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.923011582,1 +124228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.938491399,1 +124229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.659476441,1 +124227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.66357556,1 +124230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.256096135,1 +124231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.052414359,1 +124232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.166839834,1 +124235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.125739041,1 +124234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.768351104,1 +124236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.938459746,1 +124233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.701553069,1 +124237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.860993122,1 +124240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.279686412,1 +124239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.952125874,1 +124238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,1.890738704,1 +124241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.29408131,1 +124242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.760632753,1 +124243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.117661357,1 +124245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.583809034,1 +124244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.838226639,1 +124247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.498448845,1 +124248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.479672385,1 +124249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.288425043,1 +124250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.022098235,1 +124246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.462344974,1 +124251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.333045914,1 +124252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.657636166,1 +124253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.485106569,1 +124254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.762614704,1 +124256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.563848415,1 +124255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.975867325,1 +124257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.11474685,1 +124258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.044458941,1 +124260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.247460639,1 +124259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.222200983,1 +124262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.013495968,1 +124261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.402027565,1 +124263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.666114716,1 +124264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.585406242,1 +124266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.327721494,1 +124267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.241667592,1 +124265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.624105206,1 +124268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.760315138,1 +124269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.727486802,1 +124271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.7133281,1 +124270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.039195162,1 +124273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.409112363,1 +124274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.766777651,1 +124275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.810243505,1 +124272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.272793731,1 +124276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.672620436,1 +124277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.912861034,1 +124278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.210560397,1 +124279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.265868903,1 +124280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.137067928,1 +124282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.839271381,1 +124284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.334774318,1 +124281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.462283136,1 +124285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.342317953,1 +124283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.59437565,1 +124286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.547257638,1 +124288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.215844015,1 +124287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.244356284,1 +124289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.020374959,1 +124290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.799578811,1 +124292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.283334183,1 +124291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.352505241,1 +124294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.168110398,1 +124296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.25173918,1 +124295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.156046314,1 +124293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.340523131,1 +124297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.051620013,1 +124298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.406979877,1 +124300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.10629219,1 +124299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.765238835,1 +124301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.768209364,1 +124302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.104320821,1 +124303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.555887465,1 +124304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.560217155,1 +124305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.982600279,1 +124306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.526361267,1 +124308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.966919671,1 +124309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.893540468,1 +124310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.793283416,1 +124311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.835042833,1 +124313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,7.011838392,1 +124312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.984100599,1 +124307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.184872459,1 +124314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.329304119,1 +124317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.761651568,1 +124315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.255748461,1 +124316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.087251096,1 +124318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.160253708,1 +124321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.369670689,1 +124319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.550647729,1 +124320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.464668295,1 +124322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.451969725,1 +124323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.741175844,1 +124325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.671879,1 +124326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.834064485,1 +124327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.89754008,1 +124328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.424770581,1 +124324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.353668729,1 +124331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.944392799,1 +124329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.837147184,1 +124330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.250795428,1 +124332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.301736522,1 +124333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.656321324,1 +124334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.646470956,1 +124335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.947706541,1 +124336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.317012866,1 +124337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.745557865,1 +124338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.804905125,1 +124340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.382281896,1 +124341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.679782084,1 +124342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.083232708,1 +124339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.904479439,1 +124343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.539370167,1 +124345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.017106044,1 +124346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.104097396,1 +124344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.123027741,1 +124347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.975014362,1 +124348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.218461789,1 +124349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.74921547,1 +124350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.529176743,1 +124351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.868031147,1 +124352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.296491323,1 +124353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.678210725,1 +124354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.9218045,1 +124355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.996557949,1 +124356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.812977933,1 +124358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.56196552,1 +124357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.915226726,1 +124359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.267941274,1 +124360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.427185613,1 +124362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.638893614,1 +124361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.025845845,1 +124363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.121626373,1 +124364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.278769405,1 +124366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.196395092,1 +124365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.870958553,1 +124367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,7.298924462,1 +124368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.679130892,1 +124369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.254092912,1 +124371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.644695913,1 +124372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.049949021,1 +124370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.223542408,1 +124373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.095050545,1 +124375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,8.140882538,1 +124374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.099814886,1 +124376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.421838913,1 +124379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.553319751,1 +124377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.380255818,1 +124378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.19637129,1 +124382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.995359537,1 +124381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.974580023,1 +124383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.597712698,1 +124384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.214620069,1 +124385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.664655659,1 +124380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.968742128,1 +124386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.923992506,1 +124387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.5112717,1 +124388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.110353014,1 +124389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.005004935,1 +124390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.817957839,1 +124391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.194291793,1 +124392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.078175388,1 +124393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.232504268,1 +124394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.641486286,1 +124395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.226588982,1 +124396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,1.685276801,1 +124397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.544206379,1 +124398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.320236473,1 +124399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.226276501,1 +124400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.611947122,1 +124402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.668614592,1 +124403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.364273788,1 +124404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.612849137,1 +124401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.060518062,1 +124405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.214728854,1 +124406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.071739269,1 +124407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.742309766,1 +124409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.53346338,1 +124408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.596921139,1 +124410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.331889828,1 +124411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.069072894,1 +124412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.054228645,1 +124414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.715427191,1 +124413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.437740928,1 +124415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.57591593,1 +124416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.628405541,1 +124417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,7.485769778,1 +124418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.8620918,1 +124419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.718103004,1 +124420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.029391512,1 +124421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.148215333,1 +124422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.194168155,1 +124424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.710841189,1 +124423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.099999054,1 +124425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.628521005,1 +124426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.085561132,1 +124428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.173858889,1 +124427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.833272377,1 +124429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.588888708,1 +124431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.024930906,1 +124430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.033882257,1 +124432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.976584838,1 +124434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.536969479,1 +124433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.384619141,1 +124436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.435707727,1 +124435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.078009639,1 +124439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.140783942,1 +124438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.038583481,1 +124437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.863968391,1 +124440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.315839278,1 +124441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.372078967,1 +124444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.395287233,1 +124443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.40211241,1 +124442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.763783468,1 +124446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.548617679,1 +124447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.38749047,1 +124445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.606525376,1 +124448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.976453324,1 +124450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.510566971,1 +124449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.836294121,1 +124451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.989970552,1 +124452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,1.486593649,1 +124454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.778362326,1 +124453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,7.470845021,1 +124455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.791316797,1 +124456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.883401543,1 +124457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.775699459,1 +124458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.503039477,1 +124460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.092325383,1 +124461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.831523575,1 +124459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.9422169,1 +124462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.135839413,1 +124464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.37914909,1 +124463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,1.391891362,1 +124465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.215978846,1 +124466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.092574457,1 +124468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.061972936,1 +124469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,7.987530598,1 +124467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.799347861,1 +124471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.271870119,1 +124472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.043385836,1 +124473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.875996642,1 +124470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.732770394,1 +124474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.975223259,1 +124476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.001379495,1 +124475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.29059382,1 +124477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.393941297,1 +124478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.787035352,1 +124479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.391069683,1 +124481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,7.339072758,1 +124480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.991560395,1 +124482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.516381489,1 +124483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.557365711,1 +124485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.226684171,1 +124484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.19806501,1 +124486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.790201549,1 +124487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.568835442,1 +124490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.296021605,1 +124489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.652460948,1 +124491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.704918992,1 +124488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.090504271,1 +124492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.18128641,1 +124494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.169496394,1 +124493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.496416587,1 +124496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.501185224,1 +124495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.613682939,1 +124498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.531277218,1 +124500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.802790449,1 +124497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.69916343,1 +124499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.347664319,1 +124501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.693108074,1 +124502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.933628189,1 +124503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.317528952,1 +124504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.543079655,1 +124506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.383452678,1 +124507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.078533416,1 +124508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.606536052,1 +124505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.024009748,1 +124510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.152509562,1 +124511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.741007149,1 +124512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.350736259,1 +124513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.301254807,1 +124509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.355302631,1 +124514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.629116754,1 +124515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.777888704,1 +124517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.906855225,1 +124516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.058771458,1 +124518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.168592052,1 +124519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.365483193,1 +124520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.509362194,1 +124521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.23291766,1 +124522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.740387493,1 +124524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.033413111,1 +124525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.823044444,1 +124526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.76099024,1 +124523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.447456732,1 +124528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.197933642,1 +124527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.579921438,1 +124529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.012874116,1 +124530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.244956534,1 +124532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.676169635,1 +124531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.743207358,1 +124533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.114062013,1 +124534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.237856699,1 +124535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.551224157,1 +124536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.488652934,1 +124537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.910170526,1 +124539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.522233582,1 +124540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.629177418,1 +124541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.128767565,1 +124538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.540400933,1 +124543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.247835271,1 +124542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.681406526,1 +124544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.63238911,1 +124546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.062061545,1 +124545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.279351035,1 +124547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.490890806,1 +124548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.237024908,1 +124551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.675171061,1 +124549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.857969257,1 +124550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.351738888,1 +124552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.038228657,1 +124553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.275629215,1 +124554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.787884325,1 +124555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.762145883,1 +124556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.068774374,1 +124558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.467639611,1 +124557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.677503751,1 +124559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.535557289,1 +124560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.604705177,1 +124561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.290203936,1 +124563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.697582061,1 +124562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.767384489,1 +124565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.349438398,1 +124564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.94964472,1 +124567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.65966567,1 +124566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.911379998,1 +124569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.225608905,1 +124568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.798171512,1 +124570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.659285165,1 +124571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.122663467,1 +124572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.304113948,1 +124573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.622518118,1 +124574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.112234426,1 +124577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.858142131,1 +124576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.136951542,1 +124575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.779049622,1 +124578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.751195197,1 +124579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.305591237,1 +124580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.847200042,1 +124581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.538151941,1 +124582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.376868333,1 +124583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.535801738,1 +124584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,7.129209832,1 +124585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.370646073,1 +124586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.77849783,1 +124587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.940391581,1 +124588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,7.053280028,1 +124589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.561406613,1 +124590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.019482077,1 +124591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.439089837,1 +124592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.31636819,1 +124593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.996049065,1 +124595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.878286274,1 +124594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.385872625,1 +124596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.760767199,1 +124597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.435869077,1 +124599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.498758107,1 +124598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.099132763,1 +124600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.385186571,1 +124601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.781835221,1 +124602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.812819456,1 +124604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,7.432403335,1 +124603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.175758549,1 +124606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.509741885,1 +124605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.669463225,1 +124607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.296411758,1 +124608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.018495672,1 +124609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.551006744,1 +124611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.347809644,1 +124612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.115168892,1 +124610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.428564511,1 +124613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.073238869,1 +124614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.05384996,1 +124615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.550729532,1 +124616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.572758337,1 +124617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.126620745,1 +124618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.8676667,1 +124619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.507299646,1 +124620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.401846181,1 +124621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.488714695,1 +124622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.626539675,1 +124623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.85161262,1 +124625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.690098337,1 +124626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.495594469,1 +124627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.861959303,1 +124628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,7.306356282,1 +124624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.659011754,1 +124629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.737380925,1 +124630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.041036517,1 +124631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.540882594,1 +124632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.655939055,1 +124633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.620379613,1 +124634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.094174844,1 +124635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.237115681,1 +124638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.380532258,1 +124637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.855426563,1 +124636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.986144476,1 +124639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.231050695,1 +124640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.058259839,1 +124641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.809081481,1 +124642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.580311188,1 +124643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.191811461,1 +124644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,7.448113764,1 +124645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.655124608,1 +124647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.136854017,1 +124648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.302957943,1 +124649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.760631068,1 +124646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.07399956,1 +124650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.458677443,1 +124651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.822194604,1 +124652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.82036046,1 +124653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,8.840757573,1 +124654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.489979264,1 +124655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.669758668,1 +124656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.141890186,1 +124657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.290125548,1 +124658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.349665695,1 +124659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.876515449,1 +124660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.692789956,1 +124662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.717448973,1 +124663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.935174252,1 +124664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.504741613,1 +124665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.78606652,1 +124661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.474668371,1 +124666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.740456101,1 +124667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.019601768,1 +124668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.254830618,1 +124669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.929858437,1 +124670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.384234098,1 +124672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.406359092,1 +124671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.681616145,1 +124674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.540595279,1 +124673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.096514749,1 +124675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.465593116,1 +124676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.93121946,1 +124678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.07280467,1 +124677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.174117267,1 +124679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.955468176,1 +124680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,7.099915922,1 +124681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.908200594,1 +124683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.080258126,1 +124682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.565430111,1 +124684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,1.976093585,1 +124685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.139887312,1 +124686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.075704422,1 +124688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.326934033,1 +124687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.901781659,1 +124689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.496317433,1 +124690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.070530989,1 +124691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.159718353,1 +124692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.476491094,1 +124693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.495783102,1 +124695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.492380555,1 +124694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.261652556,1 +124697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.471744112,1 +124698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.654704121,1 +124696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.970511925,1 +124699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.982945519,1 +124700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.170482722,1 +124701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.477581251,1 +124703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,1.706203981,1 +124704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.578190914,1 +124705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.71811602,1 +124706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.275762354,1 +124707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.569026449,1 +124702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.51382748,1 +124708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.887374485,1 +124709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.043911679,1 +124710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.633027761,1 +124711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.426978235,1 +124712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.31006014,1 +124713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.939207667,1 +124715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.358635552,1 +124714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.134814936,1 +124717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.008331838,1 +124716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.354918477,1 +124719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.55628279,1 +124718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.221983866,1 +124720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.850562758,1 +124721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.882852122,1 +124722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.244504882,1 +124723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.485059856,1 +124724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.113566138,1 +124725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.513632145,1 +124727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.937964465,1 +124728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.385285305,1 +124729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.236064534,1 +124726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.200213166,1 +124731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.326917429,1 +124730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.794416517,1 +124732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.38353417,1 +124733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.858913114,1 +124734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.771728076,1 +124735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.270279185,1 +124736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.388234705,1 +124737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.612015649,1 +124739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.038590898,1 +124740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.534884898,1 +124741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.357444215,1 +124738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.032623526,1 +124742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.946197783,1 +124743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.428531682,1 +124744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.088525154,1 +124745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.495275838,1 +124746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.960100603,1 +124747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.876315933,1 +124748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.236993483,1 +124749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.294991945,1 +124750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.438456548,1 +124751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.362765781,1 +124752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.294019942,1 +124753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.640430314,1 +124754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.623103374,1 +124755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.313552528,1 +124756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.363016969,1 +124760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.428707113,1 +124759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.913704525,1 +124758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.033967408,1 +124757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.223792411,1 +124761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.391214698,1 +124762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.211789022,1 +124763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.550615665,1 +124764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.942736007,1 +124765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.236826939,1 +124766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.411359839,1 +124767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.396422858,1 +124768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.97171738,1 +124769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.726125642,1 +124771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.118476833,1 +124770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.453588163,1 +124773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.024717864,1 +124774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.108204777,1 +124775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.697922526,1 +124772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.321892555,1 +124776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.14965226,1 +124778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.1223176,1 +124777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.56404694,1 +124779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.369689455,1 +124780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.018828584,1 +124781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,7.178159055,1 +124782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.434727576,1 +124783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.944697361,1 +124784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.484498458,1 +124786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.958748247,1 +124785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.414093987,1 +124787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.613142607,1 +124789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.989029737,1 +124788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.85460769,1 +124793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.387035192,1 +124790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.009393414,1 +124791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,8.300678634,1 +124792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.954687468,1 +124795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.36687959,1 +124794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.185500954,1 +124796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.632458873,1 +124797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.625301131,1 +124798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.635190677,1 +124799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.235488652,1 +124800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.911644935,1 +124801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.49826126,1 +124802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.892151349,1 +124803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.55249408,1 +124804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.219797883,1 +124807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.441780311,1 +124806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,7.60738398,1 +124805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.154470471,1 +124809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.055183862,1 +124810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.952995527,1 +124811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.724226462,1 +124808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.195763327,1 +124812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.579257337,1 +124813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.603254156,1 +124815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.756068793,1 +124816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.682068426,1 +124817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.681252117,1 +124814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.123789818,1 +124818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.740009446,1 +124820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.208691146,1 +124821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.624993796,1 +124819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.964540593,1 +124822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.0590583,1 +124823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.235005452,1 +124825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.886196408,1 +124824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.633771874,1 +124827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.532572373,1 +124828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.831145195,1 +124826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.089256513,1 +124830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.358663445,1 +124829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.797623953,1 +124831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.10790496,1 +124833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.846553458,1 +124834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,1.965050136,1 +124832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.006856512,1 +124835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.033960332,1 +124837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,7.246681293,1 +124838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.811641785,1 +124836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.111683548,1 +124839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.908908203,1 +124841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.600469621,1 +124842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.659124295,1 +124843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.45461658,1 +124840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.323103152,1 +124845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.199528294,1 +124846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.360417318,1 +124847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.051699256,1 +124844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.846448609,1 +124848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.264970508,1 +124849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.731885214,1 +124850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.634063093,1 +124851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.256110839,1 +124854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.257576399,1 +124852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.669486486,1 +124853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.409368462,1 +124855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.387078782,1 +124857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,7.096553114,1 +124858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.994833794,1 +124856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.47238261,1 +124860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.238203786,1 +124861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.161913716,1 +124859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.128031874,1 +124863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.613357988,1 +124862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.876365125,1 +124864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.868937239,1 +124867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.44651165,1 +124865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.611013023,1 +124866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.364085138,1 +124868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.670782592,1 +124869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.707723276,1 +124870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.650678953,1 +124871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.842583392,1 +124872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.707129472,1 +124873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.894862695,1 +124874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.910063942,1 +124875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.927161411,1 +124876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.926078647,1 +124878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.024935413,1 +124879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.897963101,1 +124880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.644476183,1 +124877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.986033932,1 +124882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.346389857,1 +124881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.691388029,1 +124884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.158802836,1 +124883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.660356014,1 +124885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.326931304,1 +124886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.968538158,1 +124888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.765241191,1 +124887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,1.87842431,1 +124889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.606388248,1 +124891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.203756723,1 +124892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.765719249,1 +124890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.137217616,1 +124893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.476342182,1 +124894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.768407064,1 +124896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.928548544,1 +124898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.490268415,1 +124895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.121752168,1 +124897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,7.632712492,1 +124901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.371994105,1 +124899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.4505738,1 +124900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.757793049,1 +124902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.281454108,1 +124903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.012962353,1 +124904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.293412043,1 +124905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.849075361,1 +124906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.61142536,1 +124909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.337880035,1 +124907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.434068322,1 +124908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,7.338064564,1 +124910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.678372183,1 +124911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.532698614,1 +124912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.975449539,1 +124914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.100007979,1 +124915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.393118594,1 +124913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.884458558,1 +124917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.0934454,1 +124918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.614837082,1 +124916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.325741171,1 +124919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.335811933,1 +124920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.861927775,1 +124921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.892492019,1 +124922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.855859021,1 +124923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.652248324,1 +124924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.239305097,1 +124926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.874107073,1 +124925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.506548942,1 +124927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.645696713,1 +124928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.444460541,1 +124929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.345403081,1 +124930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.013499653,1 +124932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.470272442,1 +124933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.455435794,1 +124934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.133537371,1 +124931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.08896517,1 +124936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.452032683,1 +124935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,7.47381414,1 +124937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.801720609,1 +124939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.363787942,1 +124940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.459124765,1 +124941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.90749612,1 +124938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.597939846,1 +124943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.219384484,1 +124942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.707948258,1 +124944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.81150363,1 +124945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.574663548,1 +124947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.895616109,1 +124948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.88113328,1 +124946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.933370671,1 +124949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.05066112,1 +124950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.962471931,1 +124951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.031690977,1 +124952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.547124294,1 +124954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.588326692,1 +124955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,7.529012597,1 +124956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.070548303,1 +124957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.963803605,1 +124959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.407443751,1 +124953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.975570182,1 +124958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.335577561,1 +124960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.205090002,1 +124962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,7.553723881,1 +124961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.496249595,1 +124963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.333116788,1 +124964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.437868383,1 +124966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.762988105,1 +124965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.87238731,1 +124967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.486125652,1 +124968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.092251789,1 +124969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.609053028,1 +124971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.425565252,1 +124973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.086384964,1 +124972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.887289629,1 +124974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.453045832,1 +124976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.408361021,1 +124970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.608717846,1 +124975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.362371538,1 +124977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.155747265,1 +124978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.46570831,1 +124979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.032762144,1 +124980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.068364206,1 +124981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.661391318,1 +124982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,2.185311855,1 +124983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.11412812,1 +124985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.887429956,1 +124984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.074413871,1 +124986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.279769207,1 +124988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.65817102,1 +124987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.166123973,1 +124989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.051580249,1 +124992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.828375252,1 +124990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.729310575,1 +124991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.177164663,1 +124994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.481992553,1 +124995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.84416545,1 +124996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.136171643,1 +124997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,5.227827745,1 +124993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,6.527209435,1 +124998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.525616866,1 +124999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,4.260530467,1 +125000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,5,1,3.150825241,1 +134002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.22798434,1 +134001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.014447157,1 +134003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.896044897,1 +134004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.46671387,1 +134005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.178243441,1 +134006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.966155741,1 +134007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.697026968,1 +134008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,7.120302956,1 +134010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,8.3474586,1 +134009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.551559407,1 +134011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.753625371,1 +134012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.694488989,1 +134013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.938503862,1 +134014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.636856051,1 +134015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.960162127,1 +134016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.621596852,1 +134017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.240449201,1 +134019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.233831293,1 +134018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.352517575,1 +134020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.603639858,1 +134021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.28691128,1 +134022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.491023119,1 +134023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.811741788,1 +134024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.973064142,1 +134025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.896288538,1 +134026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.897456474,1 +134027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.994964078,1 +134028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.007189463,1 +134029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.800490113,1 +134030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.031762183,1 +134031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.84962183,1 +134032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,7.036037669,1 +134033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.624095039,1 +134034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.89278725,1 +134036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.405142148,1 +134037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.786063533,1 +134038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.636979326,1 +134035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.353525885,1 +134039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.370317071,1 +134040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.740718056,1 +134041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.492619017,1 +134043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.344901372,1 +134044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.399108037,1 +134045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.736551674,1 +134042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.654435062,1 +134046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.581820136,1 +134048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.118346796,1 +134049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.224009755,1 +134047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.964631694,1 +134051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.031252832,1 +134050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.723498562,1 +134052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.962487351,1 +134053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.333752182,1 +134054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.407445752,1 +134055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,7.408111521,1 +134057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.509370567,1 +134058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.083902716,1 +134059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.726362832,1 +134060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.442038118,1 +134056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.490825551,1 +134062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.626022553,1 +134064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.374215255,1 +134061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.842172256,1 +134063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.569031988,1 +134066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.967303836,1 +134067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.542850589,1 +134065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.49966967,1 +134068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.663930148,1 +134069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.329919816,1 +134070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.713079094,1 +134072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.664318418,1 +134073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.272787521,1 +134074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.950916251,1 +134071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.864395699,1 +134075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.145059572,1 +134077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.613341493,1 +134079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.452436757,1 +134078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.71535878,1 +134076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,7.151466529,1 +134080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.937221545,1 +134082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.575245289,1 +134083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.478126105,1 +134081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.093509957,1 +134084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.611778498,1 +134085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.861467039,1 +134086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.776224554,1 +134087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.240783074,1 +134088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.069542623,1 +134090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.124807312,1 +134091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.969863211,1 +134092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.959779691,1 +134089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.079740345,1 +134094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.381411508,1 +134093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.074142196,1 +134095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.333954219,1 +134096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.974897247,1 +134097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.858995733,1 +134098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.844938725,1 +134099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.173274356,1 +134100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.854486736,1 +134101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.03806788,1 +134102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.123900447,1 +134103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,7.981679781,1 +134104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.521972017,1 +134105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.021789215,1 +134106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.597688924,1 +134107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.469396654,1 +134109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.197870773,1 +134110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.862469294,1 +134111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,7.097229851,1 +134112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.961479627,1 +134108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.789564397,1 +134113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.800990098,1 +134114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.477160147,1 +134116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.270878701,1 +134115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.916217668,1 +134118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.06167387,1 +134117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.65191359,1 +134120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.670087922,1 +134119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.17778227,1 +134121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.49832471,1 +134123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.658863288,1 +134122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.408173795,1 +134124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.336273841,1 +134127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.370718794,1 +134125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.857614656,1 +134126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.123047977,1 +134129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,1.845104959,1 +134130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.763348282,1 +134131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.426992186,1 +134128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.310969314,1 +134132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.760771328,1 +134133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.882461058,1 +134134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.631961432,1 +134136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.330151859,1 +134137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.863296313,1 +134138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.721286975,1 +134140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.126586969,1 +134135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.669601073,1 +134141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.832895113,1 +134139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.489017327,1 +134142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.940238571,1 +134143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.846982544,1 +134144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.885707021,1 +134145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.269082062,1 +134146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.297992419,1 +134148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.841754397,1 +134149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.073021048,1 +134150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.236865569,1 +134151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.654953648,1 +134152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.717402078,1 +134147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.432552026,1 +134153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.1712204,1 +134155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.501360627,1 +134154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.202629001,1 +134157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.764750403,1 +134156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.853574767,1 +134159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.449414077,1 +134158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.683704107,1 +134160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.375679015,1 +134162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.759169994,1 +134163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.201151518,1 +134161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.565003058,1 +134164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.243348347,1 +134166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.262758486,1 +134165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.332277903,1 +134167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.076312108,1 +134168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.376683825,1 +134169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.233142953,1 +134170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.496608917,1 +134171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.161523715,1 +134172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.019396511,1 +134173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.06069413,1 +134174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.945828215,1 +134175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.845172178,1 +134176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.617949895,1 +134177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,7.266725483,1 +134178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.245345761,1 +134180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.57807632,1 +134181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.695529901,1 +134182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.509207163,1 +134179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.273324858,1 +134183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.271832759,1 +134184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.667854361,1 +134185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.464932343,1 +134186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.434704092,1 +134187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.011837859,1 +134188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,7.534472205,1 +134189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.096988065,1 +134190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.817797031,1 +134191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.67016823,1 +134192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.487951655,1 +134193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.264803173,1 +134195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.561462688,1 +134196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.822789421,1 +134194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.23034724,1 +134197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.014263758,1 +134198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.363797121,1 +134199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.395605708,1 +134200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.180712041,1 +134201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.609285526,1 +134202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.560515815,1 +134203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.685002245,1 +134205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.172860827,1 +134206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.405331301,1 +134204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.524879716,1 +134207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,1.79305923,1 +134208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.509795963,1 +134209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.719999802,1 +134211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.640708142,1 +134212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.295155891,1 +134213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.855255893,1 +134210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.822400207,1 +134214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.788307166,1 +134215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.12827144,1 +134216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.241773783,1 +134217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.062142212,1 +134219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.492830477,1 +134218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.32318642,1 +134220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.112925094,1 +134222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.735089436,1 +134221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.729315387,1 +134224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,1.828021346,1 +134223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.35508647,1 +134225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.55409473,1 +134227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.530528429,1 +134228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.776760661,1 +134229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.586696932,1 +134230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.048705248,1 +134231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.554897748,1 +134226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.197972625,1 +134233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.440560352,1 +134232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.141649528,1 +134235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.959815835,1 +134234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.785931369,1 +134236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.145772837,1 +134237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.880643805,1 +134239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.839672336,1 +134238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.75035147,1 +134240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.705529104,1 +134241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.928586382,1 +134242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.66242327,1 +134243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.40943372,1 +134244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.678311605,1 +134245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,7.071015037,1 +134246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.433433851,1 +134248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.469351489,1 +134247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.325651967,1 +134249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.272367799,1 +134250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.602415844,1 +134251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.678427125,1 +134252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.094771503,1 +134253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.47042088,1 +134254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.298678281,1 +134255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.523795458,1 +134256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.691895708,1 +134257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.34726657,1 +134259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,7.291414035,1 +134258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.950482359,1 +134260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.013834761,1 +134261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.583728518,1 +134263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.980799146,1 +134262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.883171711,1 +134265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.441003244,1 +134264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.690055448,1 +134267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.603076601,1 +134266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.434411511,1 +134268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.134547907,1 +134269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.625583346,1 +134270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.477854063,1 +134272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.211496089,1 +134274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.935228047,1 +134271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.04719126,1 +134273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.938888511,1 +134275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.730066759,1 +134278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.319979094,1 +134277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.334019339,1 +134276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.437742117,1 +134279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.04732687,1 +134281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.760050195,1 +134283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.395020526,1 +134282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.016798733,1 +134280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.604471458,1 +134285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.112104695,1 +134286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.101647738,1 +134287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.208365654,1 +134284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.736829563,1 +134289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.399580443,1 +134288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.694810875,1 +134290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.338540203,1 +134292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.912253086,1 +134291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.90594137,1 +134293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.83616814,1 +134296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.156615326,1 +134295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.522112952,1 +134294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.97198708,1 +134297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.844430365,1 +134299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.563810326,1 +134298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.137022642,1 +134301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.115650419,1 +134300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.991445601,1 +134302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.551820537,1 +134303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.775726796,1 +134304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.306853671,1 +134305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.692977719,1 +134306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,7.617980367,1 +134307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.38329614,1 +134308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.474471049,1 +134310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.037145556,1 +134311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.198451913,1 +134309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.561731915,1 +134313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.848390594,1 +134315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.376249556,1 +134314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.816708463,1 +134312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.231132569,1 +134316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.794889254,1 +134317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.753907818,1 +134318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.645703348,1 +134320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.26849877,1 +134319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.229260963,1 +134321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.222120912,1 +134322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.16977189,1 +134324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.595486744,1 +134323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.170870871,1 +134326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.777593679,1 +134327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.727228593,1 +134325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.007737296,1 +134328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.437894653,1 +134329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.126614793,1 +134331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.417026045,1 +134332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.394360595,1 +134333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.587652493,1 +134334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,7.689657845,1 +134335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.56955655,1 +134336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.799757688,1 +134330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.992594329,1 +134337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.96584827,1 +134340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,7.671348223,1 +134339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.160979964,1 +134338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,7.056497444,1 +134341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.295531896,1 +134343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.729533611,1 +134342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.620081543,1 +134344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.80633943,1 +134345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.062976245,1 +134346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.14803784,1 +134348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.998048128,1 +134349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.282958358,1 +134350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.340356256,1 +134351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.761111349,1 +134352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.228659524,1 +134347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.467553279,1 +134355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.981976515,1 +134356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.383431178,1 +134354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.716321889,1 +134357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.035978829,1 +134353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.293476056,1 +134358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.518463721,1 +134359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.922086974,1 +134360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.897553601,1 +134362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.24729898,1 +134361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.135384178,1 +134363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.405629014,1 +134365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.180524847,1 +134366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.119225124,1 +134367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.304616792,1 +134368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.698496296,1 +134369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.192849956,1 +134364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.171683997,1 +134370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.859471699,1 +134373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.360911428,1 +134371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.864910301,1 +134372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.531971828,1 +134374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.128299825,1 +134376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.1279775,1 +134377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.87320567,1 +134375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.005085269,1 +134378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.610585771,1 +134379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.642904936,1 +134380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.570824661,1 +134381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.013407073,1 +134382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.63673219,1 +134383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.313332614,1 +134384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.902234421,1 +134386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.39312875,1 +134385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.111504167,1 +134388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,7.15752074,1 +134387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.6648154,1 +134389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.960786945,1 +134390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.110955814,1 +134391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.996846744,1 +134392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.123959365,1 +134393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.476417553,1 +134394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.190937886,1 +134395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.664402493,1 +134396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.988873105,1 +134397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.058826832,1 +134399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.085797898,1 +134400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.543917779,1 +134402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.17443472,1 +134403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.595575324,1 +134398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.194096663,1 +134404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.419183241,1 +134401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.512609826,1 +134405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.219238567,1 +134406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.085420522,1 +134407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.449300245,1 +134408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.321640925,1 +134409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.629256488,1 +134410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.407816371,1 +134411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.531865654,1 +134412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.732273699,1 +134413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.127605324,1 +134414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.568973168,1 +134415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.636146367,1 +134417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.610108543,1 +134416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.903170068,1 +134418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.577877022,1 +134419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.513971149,1 +134421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.809258818,1 +134420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.828707631,1 +134422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.872699477,1 +134423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.20868113,1 +134424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.863902361,1 +134426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.371059034,1 +134428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.820091798,1 +134427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.665442939,1 +134430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.432344007,1 +134431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.025525979,1 +134425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.451855509,1 +134429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.192743532,1 +134434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.421315957,1 +134433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.877445245,1 +134432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.61795288,1 +134435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.29702434,1 +134436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.751829153,1 +134437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.104097744,1 +134438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.214636599,1 +134439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.193267935,1 +134441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.161783946,1 +134442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.237322378,1 +134440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.614043126,1 +134444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.22551604,1 +134443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.861821356,1 +134445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.044975763,1 +134446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.827780383,1 +134448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.737240113,1 +134447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.292023069,1 +134449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.222309566,1 +134450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.436773545,1 +134453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.745007902,1 +134454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.306574542,1 +134452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.895646018,1 +134451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.900491171,1 +134455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.231416978,1 +134457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.267018081,1 +134458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.36892147,1 +134456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.545290431,1 +134459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.943131335,1 +134460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.899939245,1 +134461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.325750323,1 +134462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.989411867,1 +134463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.749532146,1 +134464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.353404578,1 +134466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.276958876,1 +134467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.902308337,1 +134465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.377857357,1 +134468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.498856545,1 +134469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.786366026,1 +134470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.165971147,1 +134472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.241887451,1 +134471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.922306181,1 +134474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,1.994925184,1 +134475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.078234945,1 +134473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.669814736,1 +134476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.817050728,1 +134477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.709454333,1 +134479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.743009485,1 +134478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.595299537,1 +134481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.855256647,1 +134482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.949741486,1 +134483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.67825663,1 +134480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.435261473,1 +134484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.755907377,1 +134485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.024380207,1 +134486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.921426293,1 +134488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.65401755,1 +134490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,7.499038828,1 +134487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.371949253,1 +134489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.650920406,1 +134493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.300032883,1 +134494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.41419412,1 +134491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.535182822,1 +134495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.489573798,1 +134492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.273151774,1 +134496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.861538442,1 +134497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.731043247,1 +134499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.849326381,1 +134500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.613352963,1 +134501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.962270724,1 +134502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.731555087,1 +134503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.726951947,1 +134504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.393239894,1 +134498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.278840721,1 +134505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.878370567,1 +134507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.631359422,1 +134508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.326302025,1 +134506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.32663857,1 +134509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.269975548,1 +134512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.678162849,1 +134511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.905878112,1 +134510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.23194839,1 +134513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.100621351,1 +134514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.451977657,1 +134516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.963704517,1 +134517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.018504309,1 +134515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.011530069,1 +134518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.97739385,1 +134519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.736839256,1 +134520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.072659178,1 +134523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.811430181,1 +134524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.782083378,1 +134522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.180424493,1 +134521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.423023697,1 +134527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.518736009,1 +134528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.677526708,1 +134525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.541706576,1 +134526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.007093578,1 +134529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.553992838,1 +134531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.859437322,1 +134530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.631238597,1 +134532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.864567646,1 +134533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.844691414,1 +134534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.644715432,1 +134535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.145261151,1 +134536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.19136914,1 +134538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.82298366,1 +134537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.590819765,1 +134540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.160238177,1 +134539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.11178945,1 +134541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.198096266,1 +134542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.427112739,1 +134544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.748084108,1 +134545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.284485688,1 +134543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.787116882,1 +134546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.220702456,1 +134547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.129645336,1 +134548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.651702059,1 +134549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.811731296,1 +134550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.751948771,1 +134551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.741416944,1 +134552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.986044293,1 +134554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,7.095609058,1 +134555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.972331502,1 +134553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.692824345,1 +134556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.992590122,1 +134557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.747483745,1 +134559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.716049532,1 +134558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.40155318,1 +134560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.558922975,1 +134561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.758298027,1 +134563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.396613405,1 +134562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.291002679,1 +134564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.832651127,1 +134565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.667676219,1 +134566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.855098969,1 +134567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.761746361,1 +134568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.835441677,1 +134570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.189169072,1 +134569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.549785875,1 +134572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.670116157,1 +134573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.143595701,1 +134571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.895810967,1 +134574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.680358234,1 +134575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.325059787,1 +134577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.17270657,1 +134576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.555781693,1 +134578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.537680729,1 +134579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.24515519,1 +134580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.742132934,1 +134582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.735037947,1 +134581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.907250224,1 +134583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.547806666,1 +134584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.448934071,1 +134586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.053401044,1 +134587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.330633674,1 +134585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.513280806,1 +134588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.818827228,1 +134590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.667419015,1 +134591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.647018145,1 +134592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.367074795,1 +134593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.091065713,1 +134594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.096997775,1 +134589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.948572756,1 +134595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.613926767,1 +134596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.415301837,1 +134597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.504594655,1 +134600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.761492466,1 +134599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.498243235,1 +134598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.82208062,1 +134601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.690840728,1 +134604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.5671042,1 +134602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.311753764,1 +134605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.611588058,1 +134603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.944707435,1 +134606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.894589322,1 +134607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.986405151,1 +134609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.199628239,1 +134608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.379676097,1 +134611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.962297939,1 +134612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.302764908,1 +134613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.416962517,1 +134614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.708352752,1 +134610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.394463036,1 +134616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.098718497,1 +134615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.009332941,1 +134617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.416170436,1 +134618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.109135393,1 +134619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,1.035405105,1 +134620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.066449287,1 +134621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.277311365,1 +134622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.009368529,1 +134623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.568385924,1 +134625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.260918634,1 +134624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.728724171,1 +134626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.405670155,1 +134627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.639735869,1 +134628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.936014726,1 +134629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.368980624,1 +134630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.112596106,1 +134633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.989918529,1 +134631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.999570292,1 +134632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.292275601,1 +134634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.064924585,1 +134635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.497993684,1 +134636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.841746519,1 +134637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.873357174,1 +134638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.128213053,1 +134640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.244984462,1 +134641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.29085774,1 +134639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.231841496,1 +134642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,7.776175844,1 +134643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.306811918,1 +134644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.20303181,1 +134645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.664692293,1 +134646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.546511617,1 +134647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.301691834,1 +134648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.286630326,1 +134649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.482100211,1 +134650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.299391168,1 +134651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.993581944,1 +134652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.628356666,1 +134653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.254030344,1 +134654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.798181675,1 +134655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.799543239,1 +134656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.713577388,1 +134657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.748255137,1 +134658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.350932739,1 +134659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.292878671,1 +134660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.128718728,1 +134661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.496119475,1 +134662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.961438769,1 +134663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.991660794,1 +134665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.097221921,1 +134664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.390972226,1 +134667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.328692461,1 +134666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,1.970270714,1 +134671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.677078364,1 +134670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.877968401,1 +134668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.580086306,1 +134669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.414465536,1 +134672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.1466316,1 +134673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.091512712,1 +134674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.377387087,1 +134675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.508572707,1 +134676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.293255716,1 +134677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.628670417,1 +134678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.29111217,1 +134679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.643891912,1 +134680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.220917364,1 +134683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.092207839,1 +134681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.59601181,1 +134682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.934004454,1 +134684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.055688978,1 +134686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.376993102,1 +134687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.335957396,1 +134688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.351415036,1 +134689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.992484877,1 +134685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.864376319,1 +134690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.253910093,1 +134693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.556429098,1 +134691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.922101836,1 +134692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.204003484,1 +134695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.285713218,1 +134694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.050395371,1 +134696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.250075821,1 +134697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.977986535,1 +134698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.087358505,1 +134699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.463257377,1 +134700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.608040334,1 +134701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.504599717,1 +134703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.485687359,1 +134704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.925787928,1 +134705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.261396695,1 +134706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.236418326,1 +134702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.721189868,1 +134710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.238345366,1 +134708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.411492643,1 +134707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.858628144,1 +134709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.318498625,1 +134711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.903469727,1 +134712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.512896184,1 +134713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.531479117,1 +134714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.251523006,1 +134715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.933094434,1 +134716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.017153713,1 +134717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.484136718,1 +134718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.299060629,1 +134721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.627235384,1 +134720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.182075827,1 +134723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.173549604,1 +134719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.109996837,1 +134724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.216098361,1 +134722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.084494139,1 +134726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.857518633,1 +134725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.99565818,1 +134727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.463506825,1 +134728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.723772772,1 +134729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.359112881,1 +134730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.40733348,1 +134731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.049548321,1 +134732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.036000138,1 +134733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.150448778,1 +134734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.265549271,1 +134735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.815050483,1 +134736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.253905644,1 +134738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.960287461,1 +134737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.832813246,1 +134739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.420888757,1 +134740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.126778091,1 +134741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.205449257,1 +134742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.7891881,1 +134743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,7.557382353,1 +134744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.638239627,1 +134746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.514218984,1 +134745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.804866406,1 +134747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.492289995,1 +134749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.656543025,1 +134748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.853376678,1 +134750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.625798921,1 +134751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.292344012,1 +134752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.088319329,1 +134753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.30656354,1 +134754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.205922116,1 +134755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,7.709504623,1 +134758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.812404071,1 +134757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.998151681,1 +134759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.092060783,1 +134756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.727900316,1 +134760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.781369398,1 +134761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.131764675,1 +134762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.220549938,1 +134763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.002138693,1 +134764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.112596505,1 +134765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.16118062,1 +134766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.188375312,1 +134767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.711600824,1 +134768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.382456966,1 +134769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.454786181,1 +134770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.546251483,1 +134772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.945889151,1 +134773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.855719243,1 +134774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.062115283,1 +134775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.103569748,1 +134776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.883873328,1 +134771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.994216554,1 +134777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.40433335,1 +134778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.7164434,1 +134779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.952009004,1 +134781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.3859041,1 +134782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.856219567,1 +134780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.034815911,1 +134783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.847475337,1 +134784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.869169787,1 +134785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.678948815,1 +134787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.280043299,1 +134786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.006769177,1 +134788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.44579397,1 +134789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.843432731,1 +134791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.905014116,1 +134790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.167560684,1 +134792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.958054882,1 +134793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.896247513,1 +134795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.697395417,1 +134796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.823343344,1 +134797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.924469799,1 +134794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.766309498,1 +134798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.87229535,1 +134799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.458056228,1 +134800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.156870469,1 +134801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.415639433,1 +134802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.523177287,1 +134803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.277364926,1 +134804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.219043709,1 +134805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.521362866,1 +134806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.854389408,1 +134807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.616930917,1 +134808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.059653212,1 +134809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.10568855,1 +134811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.704912659,1 +134810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.526671083,1 +134812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.599198883,1 +134815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.468714137,1 +134814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.847763057,1 +134816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.020395507,1 +134817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.494444757,1 +134813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.091274729,1 +134818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.303492957,1 +134820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.922079998,1 +134819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.398482099,1 +134821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.938861806,1 +134822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.865925852,1 +134824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.161487721,1 +134823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.75657848,1 +134826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.081217137,1 +134827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.630956195,1 +134825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.664509552,1 +134828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.357603595,1 +134830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.809178988,1 +134829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.82957649,1 +134832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.654400887,1 +134831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.913773285,1 +134833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.960613562,1 +134834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.450038579,1 +134836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.757873437,1 +134835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.092509257,1 +134837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.765255865,1 +134838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.371934296,1 +134839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.01818518,1 +134840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.419491291,1 +134842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.814960613,1 +134841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.066307065,1 +134843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.079621558,1 +134844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.784430937,1 +134845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.530659578,1 +134846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.473099144,1 +134848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.621752973,1 +134847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.785210061,1 +134849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.31249224,1 +134850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.877214416,1 +134852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.590992699,1 +134851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.488955208,1 +134853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.503063313,1 +134854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.572545679,1 +134855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.059542629,1 +134856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.735257291,1 +134857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.592764556,1 +134858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.495737464,1 +134860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.486016187,1 +134861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.948198517,1 +134859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.232777627,1 +134862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.897095793,1 +134863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.408592948,1 +134864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.558353151,1 +134866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.895482276,1 +134867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.06726379,1 +134868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.849229897,1 +134869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.804117199,1 +134870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.39553479,1 +134865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.104443605,1 +134871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.991120349,1 +134873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.972022076,1 +134872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.909999009,1 +134877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.087419823,1 +134874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.313172943,1 +134876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.203351423,1 +134875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.048337597,1 +134879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.852097069,1 +134880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.996935141,1 +134878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.229698727,1 +134881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.143287205,1 +134883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.815512292,1 +134884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.921811005,1 +134885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.708670335,1 +134882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.094431756,1 +134886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.399965955,1 +134887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.301051579,1 +134888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.179048356,1 +134891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.343532065,1 +134892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.125414149,1 +134889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.531184163,1 +134890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.796261055,1 +134895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.459748713,1 +134893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.075314916,1 +134894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.918631685,1 +134896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.064538646,1 +134898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.926522089,1 +134897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.631235883,1 +134899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.118741876,1 +134900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.924271152,1 +134903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.077307218,1 +134901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.461632412,1 +134904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.447165311,1 +134905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.595311995,1 +134906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.643739721,1 +134902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.755117795,1 +134907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.366937057,1 +134910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.210762734,1 +134909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.90509541,1 +134908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.979864175,1 +134911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.896419473,1 +134914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.559428728,1 +134912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.417889945,1 +134913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.229251302,1 +134915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.736125936,1 +134916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.728001192,1 +134917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.577206558,1 +134918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.611810327,1 +134919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.244305679,1 +134920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.067763686,1 +134922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.032258286,1 +134923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.549790414,1 +134921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.331740446,1 +134925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.385887076,1 +134924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.189090749,1 +134927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.680913813,1 +134926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.104840291,1 +134928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.852800567,1 +134929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.505077382,1 +134931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.219080238,1 +134930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.956163135,1 +134932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.400561725,1 +134933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.306532703,1 +134934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.097187932,1 +134935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.41284715,1 +134936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.554149039,1 +134937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.087280134,1 +134938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.749854595,1 +134940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.538059033,1 +134939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.178238736,1 +134941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.298956131,1 +134942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.821031682,1 +134943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.925755314,1 +134944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.549352915,1 +134945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.858964469,1 +134946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.055640039,1 +134947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.682803546,1 +134948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.540249987,1 +134949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.849472639,1 +134950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.50953194,1 +134951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.792287503,1 +134952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.410081696,1 +134953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.552309334,1 +134954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.223348789,1 +134955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.128231135,1 +134956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.363482079,1 +134957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.05664751,1 +134958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.001717076,1 +134959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.532059899,1 +134960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.362328528,1 +134961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.949518636,1 +134962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.58792503,1 +134963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.682936722,1 +134964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.021052282,1 +134965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.317997388,1 +134966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.910565664,1 +134967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.270107795,1 +134969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.634647407,1 +134970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.610773096,1 +134971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.54315664,1 +134968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.614963185,1 +134972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,7.650889877,1 +134974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.557836994,1 +134975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.957111533,1 +134973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.519206713,1 +134977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.705387752,1 +134978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,6.061692713,1 +134976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.136527067,1 +134979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.622208273,1 +134980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.939232264,1 +134981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.18632041,1 +134983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.898388748,1 +134984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.131160834,1 +134982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.302183374,1 +134986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.963526672,1 +134985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.547397291,1 +134988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.297809886,1 +134987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.896993883,1 +134990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.563311521,1 +134992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.469762797,1 +134989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.965205309,1 +134993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.83625033,1 +134994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,3.623441843,1 +134991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,8.19516551,1 +134995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,2.745636252,1 +134997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,8.387857843,1 +134999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.377901762,1 +134996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.758728265,1 +134998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,4.000793788,1 +135000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,5,1,5.826607562,1 +144001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.10043771,1 +144003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.954883483,1 +144004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.745706942,1 +144005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,7.60804652,1 +144002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.882467379,1 +144006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.866101648,1 +144007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.830437525,1 +144008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.962382326,1 +144009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.916758718,1 +144010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.046586069,1 +144013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.321341358,1 +144012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.308673466,1 +144011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.431550662,1 +144014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.571380451,1 +144016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.759037024,1 +144015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.535978725,1 +144017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.798492125,1 +144018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.719598587,1 +144020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.376393334,1 +144019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.054328647,1 +144021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.164521992,1 +144022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.655058772,1 +144024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.076171508,1 +144025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.142290694,1 +144023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.664409949,1 +144026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.216068689,1 +144028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.605853584,1 +144027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.217637382,1 +144029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.199511952,1 +144030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.630580511,1 +144032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.69918335,1 +144031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.877691672,1 +144033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.976088676,1 +144034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.691968093,1 +144035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.933213367,1 +144036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.240498253,1 +144037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.983180022,1 +144039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.465740256,1 +144038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.117863592,1 +144040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.744436336,1 +144043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.276827377,1 +144041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.569715892,1 +144042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.719991025,1 +144044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.127651192,1 +144046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.087392928,1 +144047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.828586577,1 +144045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.641621895,1 +144048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.248722307,1 +144049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.011152914,1 +144050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.52519609,1 +144051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.251436064,1 +144052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.363398347,1 +144053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.538972106,1 +144054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.391143216,1 +144056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.065693482,1 +144055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.08134651,1 +144057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.767042824,1 +144058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.243520181,1 +144059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.88602781,1 +144060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.696680847,1 +144061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.375228338,1 +144063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.539940409,1 +144062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.406086657,1 +144064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.937168145,1 +144065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.089403602,1 +144066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.898052987,1 +144067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.292947708,1 +144068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.320651242,1 +144069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.154147842,1 +144070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.46520311,1 +144071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.507618095,1 +144072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.688230062,1 +144074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.108823926,1 +144073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.623439613,1 +144075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.884661936,1 +144077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.1317267,1 +144079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.322057318,1 +144078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.186156782,1 +144080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.157681332,1 +144082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.71269233,1 +144081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.414230467,1 +144076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.808737306,1 +144083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.313874778,1 +144085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.247826923,1 +144084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.85682528,1 +144088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.338204217,1 +144087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.381093161,1 +144089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.362437514,1 +144086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.439358387,1 +144091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.447475566,1 +144092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.282570087,1 +144090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.976757968,1 +144093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.105967748,1 +144094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.732038902,1 +144095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.825149961,1 +144096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.616309218,1 +144097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.858750998,1 +144098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.916994098,1 +144099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.35104339,1 +144101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.406512006,1 +144102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.48318534,1 +144104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,0.874757838,1 +144100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.012843504,1 +144103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.998961503,1 +144105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.294731509,1 +144107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.136656279,1 +144106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.648746251,1 +144108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,7.223130039,1 +144109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.487953195,1 +144111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,10.27980868,1 +144112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.149605357,1 +144110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.169492977,1 +144113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.436056883,1 +144114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.026676575,1 +144115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.253952409,1 +144117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.52809023,1 +144118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.909610655,1 +144116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.474224706,1 +144119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.229198515,1 +144120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,1.702352357,1 +144121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.115628653,1 +144123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.381936711,1 +144122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.480458939,1 +144125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.068949614,1 +144124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.676078273,1 +144126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.068740563,1 +144127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.096714946,1 +144128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.029326408,1 +144129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.384090831,1 +144130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.412759161,1 +144131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.389220897,1 +144132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.717022475,1 +144133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,1.352099157,1 +144134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.739876219,1 +144136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.881684731,1 +144137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.565540067,1 +144135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.417956119,1 +144138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.131274283,1 +144139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.02309442,1 +144141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.237152069,1 +144140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,8.505127918,1 +144142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.476955242,1 +144143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.685700825,1 +144144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.481456023,1 +144145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.138096138,1 +144146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.900603418,1 +144148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.896829427,1 +144147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.840412802,1 +144150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.204019789,1 +144151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.169436977,1 +144152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.437331083,1 +144149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.458217079,1 +144154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.296632389,1 +144153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.825513908,1 +144155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.817821177,1 +144157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.788599394,1 +144159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.199614702,1 +144158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.766185606,1 +144156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.458276332,1 +144162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.709156847,1 +144161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.628828683,1 +144160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.974298641,1 +144165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.673046746,1 +144166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,1.5556882,1 +144163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.066955158,1 +144164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.416411497,1 +144167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.115001847,1 +144168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.320856452,1 +144170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.246406626,1 +144169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.256385955,1 +144171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.029233323,1 +144172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.649967307,1 +144173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.619620095,1 +144175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.073323985,1 +144176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.745557271,1 +144177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.179634404,1 +144178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.428973397,1 +144179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.012689249,1 +144174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.190221219,1 +144180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.812415713,1 +144182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.427001555,1 +144181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.346310643,1 +144183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.201278544,1 +144184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.257211052,1 +144185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.381856902,1 +144186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.492129194,1 +144187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.002102011,1 +144188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.818173454,1 +144189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.867896708,1 +144190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.007395047,1 +144192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.099950054,1 +144194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.31625583,1 +144193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.84487213,1 +144195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.038187809,1 +144191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.468486734,1 +144196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.546848521,1 +144197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.181934079,1 +144199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.561648251,1 +144198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.792605862,1 +144200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.251103221,1 +144201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.6289301,1 +144203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.73015679,1 +144202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.705339977,1 +144204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.166672205,1 +144205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.101901482,1 +144206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.596152878,1 +144207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.859811104,1 +144208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.31421432,1 +144210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,1.985154849,1 +144209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.835669289,1 +144212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.192984342,1 +144211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.477343366,1 +144213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.372798185,1 +144214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.582182812,1 +144215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.50731236,1 +144217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.927262044,1 +144216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.304052796,1 +144218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.339792861,1 +144219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.58522926,1 +144220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.371242052,1 +144221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.776854041,1 +144222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.705428608,1 +144223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.112197515,1 +144224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.307047245,1 +144225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.096370627,1 +144226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.301519384,1 +144227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.03639423,1 +144228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.64052053,1 +144229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.883335743,1 +144230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.645564443,1 +144231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.604490345,1 +144232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.54963172,1 +144234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,1.61976146,1 +144235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.319882821,1 +144236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.506266012,1 +144237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.971296099,1 +144233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.540432726,1 +144238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.081581804,1 +144239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.765496875,1 +144241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,7.382261727,1 +144240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,7.5074232,1 +144242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.801127624,1 +144243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.190342455,1 +144244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.467797988,1 +144245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.930036007,1 +144247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.332001296,1 +144246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.467653896,1 +144249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.033783075,1 +144250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.678720837,1 +144251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.36242522,1 +144252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.84594489,1 +144254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.91184864,1 +144253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.142752392,1 +144248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.024500218,1 +144255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.039841474,1 +144256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.394953689,1 +144257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.985659124,1 +144258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.036200118,1 +144259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.533435724,1 +144261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.419003778,1 +144260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.775196127,1 +144262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.811845607,1 +144263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.580509925,1 +144265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.795014057,1 +144264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.645119881,1 +144267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.552823969,1 +144269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.069529971,1 +144268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.084707022,1 +144270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.994976066,1 +144272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.159108883,1 +144266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.890515129,1 +144271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.869144898,1 +144275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.998663759,1 +144273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.282203759,1 +144276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.293374624,1 +144274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.918209293,1 +144278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.648672949,1 +144277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.208220185,1 +144279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.365224918,1 +144280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.963419434,1 +144281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,1.581677033,1 +144283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.720917072,1 +144282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.725309405,1 +144284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.332676831,1 +144285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,9.4475102,1 +144286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.537591857,1 +144288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.321291206,1 +144287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,1.945801578,1 +144289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.005035183,1 +144290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,1.287871979,1 +144291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.181645142,1 +144293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.561556743,1 +144292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.362532683,1 +144294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.170839771,1 +144295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.491505089,1 +144296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.589645608,1 +144297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.426110574,1 +144298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.346013086,1 +144299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.081152658,1 +144300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.111496206,1 +144301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.291782919,1 +144302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.632720176,1 +144303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.292714785,1 +144304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.425533052,1 +144306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.806719914,1 +144307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.218297145,1 +144305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.915346,1 +144308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.648310443,1 +144309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.891646365,1 +144310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.395157807,1 +144311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.574700102,1 +144312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.502734497,1 +144313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.835234524,1 +144314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.275165281,1 +144315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.621062032,1 +144317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,7.342271641,1 +144316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.036916863,1 +144318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.219064798,1 +144320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.992122693,1 +144321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.593713453,1 +144322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.48249722,1 +144323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.314893992,1 +144319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.987181215,1 +144324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,7.849335494,1 +144325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.944518852,1 +144326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.095168226,1 +144327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.420117941,1 +144329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.144770931,1 +144330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.189436396,1 +144328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.952214795,1 +144331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.218288139,1 +144334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.662041178,1 +144332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.300168542,1 +144335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.156019412,1 +144333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.681646981,1 +144336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.284233323,1 +144337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.08070747,1 +144339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.652746611,1 +144338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.672025613,1 +144341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.195671446,1 +144340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.641386494,1 +144344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.007571511,1 +144345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.466232841,1 +144342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.741480454,1 +144343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.072821052,1 +144347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.22716647,1 +144348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.826153879,1 +144349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.20162498,1 +144346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.431436093,1 +144351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.951960323,1 +144352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.547219026,1 +144350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.045440898,1 +144353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.402946319,1 +144355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.641464876,1 +144356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.714514397,1 +144357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.584341776,1 +144354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.105651158,1 +144359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.561679454,1 +144360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.865491504,1 +144361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.377942206,1 +144362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.467116645,1 +144358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.787848904,1 +144363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.310197382,1 +144364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.523731496,1 +144366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.958086302,1 +144365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.206739435,1 +144368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.370530612,1 +144367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.783432133,1 +144369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.915363267,1 +144370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.053799401,1 +144372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.131646836,1 +144373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.162310848,1 +144374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.298518517,1 +144375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.625989622,1 +144371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.967232419,1 +144377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.501475316,1 +144376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.886487855,1 +144379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.089903777,1 +144378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.904019696,1 +144381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.595859551,1 +144382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.864285898,1 +144380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.953829487,1 +144383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.641062416,1 +144385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.431762992,1 +144384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.571876539,1 +144386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.897977133,1 +144387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.789901617,1 +144389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.436954152,1 +144390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.156975844,1 +144391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.198387065,1 +144388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,1.359578108,1 +144393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.211269039,1 +144392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.54952092,1 +144394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.736425682,1 +144395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.473650349,1 +144398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.792578267,1 +144396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.667308867,1 +144397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.484476051,1 +144399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.004895711,1 +144400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.49957424,1 +144401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.004034135,1 +144402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.861115607,1 +144403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.013512896,1 +144404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.172187486,1 +144405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.664851276,1 +144406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.257818863,1 +144408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.885728883,1 +144409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.967724231,1 +144410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.495445872,1 +144407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.817201768,1 +144411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.646592917,1 +144412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.417074269,1 +144413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.973327841,1 +144415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.289286449,1 +144414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.67890604,1 +144416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.528894915,1 +144417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.999948182,1 +144418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.510971519,1 +144421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.92591831,1 +144420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,1.770120774,1 +144419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.261757779,1 +144422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,7.710040813,1 +144423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.739720069,1 +144424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.292025064,1 +144425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.351640999,1 +144426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.77676372,1 +144427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.867771514,1 +144428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.499960941,1 +144430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.052035663,1 +144431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.021074769,1 +144432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.833315501,1 +144429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.484864357,1 +144434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.410745237,1 +144433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.461982045,1 +144435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.61754522,1 +144436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.9424894,1 +144438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.265010497,1 +144437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.059824604,1 +144440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.112103139,1 +144439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.245511084,1 +144444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.668617319,1 +144443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.325410491,1 +144442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.516552674,1 +144441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.489364647,1 +144447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.423374624,1 +144445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.026129329,1 +144448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.092665102,1 +144446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.986307766,1 +144450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.909135741,1 +144449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.124454061,1 +144451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.409117086,1 +144452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.529333431,1 +144453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.988474932,1 +144454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.943570864,1 +144455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.712634306,1 +144456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.995004315,1 +144458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.041414084,1 +144459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.166062839,1 +144457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.874760571,1 +144461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.288175274,1 +144463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.080572589,1 +144462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.988249117,1 +144464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.74133117,1 +144465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.260028022,1 +144466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.61675764,1 +144460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.702045163,1 +144467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.863003388,1 +144468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.708636308,1 +144469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.121315608,1 +144471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.957968955,1 +144470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.739363087,1 +144472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.401932969,1 +144473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.580701315,1 +144475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.063863672,1 +144474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.871436534,1 +144476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.460302573,1 +144477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.65094954,1 +144479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.755440232,1 +144480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.352528181,1 +144481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.773335076,1 +144482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.466387706,1 +144483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.452035922,1 +144478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.685352688,1 +144484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.846711839,1 +144485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.098166588,1 +144486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.999274426,1 +144488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.747251513,1 +144487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.47240169,1 +144490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.424916308,1 +144489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.528221612,1 +144491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.871688826,1 +144493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.568415888,1 +144494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.085547427,1 +144495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.400323038,1 +144492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.86572894,1 +144497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.443501352,1 +144496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.088487632,1 +144498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.948094356,1 +144499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.215991936,1 +144500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.725193601,1 +144501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.767352692,1 +144502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,7.042960358,1 +144503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.963986212,1 +144505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.84456525,1 +144504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.323731053,1 +144506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.96958162,1 +144508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.531235232,1 +144509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.823425512,1 +144510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.064073488,1 +144507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.086629474,1 +144512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.154231594,1 +144513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.606485963,1 +144514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.451429952,1 +144511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.662743236,1 +144515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.337454405,1 +144517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.686765535,1 +144518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.745160913,1 +144516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.064916121,1 +144519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.414476985,1 +144521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.091316135,1 +144522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.172110663,1 +144520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.132142577,1 +144523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.443863296,1 +144524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.800641925,1 +144525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.488170063,1 +144527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.077082616,1 +144526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.823633178,1 +144528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.174245401,1 +144529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.559218003,1 +144531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.595958528,1 +144530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,7.322792459,1 +144532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.059111213,1 +144533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.492229162,1 +144534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.903360476,1 +144537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.635384256,1 +144536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.461681992,1 +144538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.366099977,1 +144535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.001314583,1 +144540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.405065581,1 +144539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.55824231,1 +144541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.160694172,1 +144543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.599450736,1 +144544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.191812987,1 +144545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.868376901,1 +144546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.280990307,1 +144542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.43701981,1 +144547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,8.155580154,1 +144548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.648562077,1 +144550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.747147185,1 +144549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.615495899,1 +144551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.744884284,1 +144552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.724437136,1 +144554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.239209409,1 +144555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.525280625,1 +144553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.285731991,1 +144556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.67115228,1 +144557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.413805229,1 +144558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.252828143,1 +144560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.627202632,1 +144559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.393543036,1 +144563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.178575439,1 +144561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.997362868,1 +144562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.689833774,1 +144564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.490308684,1 +144566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.44528653,1 +144567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.49571211,1 +144565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.250021212,1 +144568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.229646708,1 +144569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.350790986,1 +144570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,1.860986393,1 +144571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.521600134,1 +144572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.333285734,1 +144573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.293056938,1 +144574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.493974897,1 +144575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.706361776,1 +144577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.887069353,1 +144578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.780184769,1 +144579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.6821577,1 +144576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.284988314,1 +144581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.351121134,1 +144582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.974014155,1 +144580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.520470085,1 +144583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.185958043,1 +144584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.598500812,1 +144585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.642892797,1 +144586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.978747803,1 +144587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.361977767,1 +144589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.675004882,1 +144588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.32913423,1 +144590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.815059833,1 +144593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.349495828,1 +144592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,1.716024158,1 +144591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.936861963,1 +144594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.390019759,1 +144596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.674904961,1 +144595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.595898332,1 +144597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.264999916,1 +144598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.813796123,1 +144599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.711560586,1 +144600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.331372691,1 +144602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.645759532,1 +144603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.892603456,1 +144605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.694616485,1 +144604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.255818026,1 +144606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.733570515,1 +144601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.323124113,1 +144607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.439301319,1 +144608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.168425671,1 +144609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.579665773,1 +144610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.799101469,1 +144612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.013648909,1 +144611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.076860126,1 +144613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.021639312,1 +144614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.930048102,1 +144615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.046735375,1 +144616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.37742738,1 +144617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.541514684,1 +144619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.31335841,1 +144620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.239289298,1 +144621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.74419439,1 +144622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,7.473706019,1 +144623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.364563809,1 +144624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.007978899,1 +144618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,1.676369404,1 +144625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.114818073,1 +144628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.804436278,1 +144627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.353526801,1 +144626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.243080675,1 +144631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.197526597,1 +144630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.496834713,1 +144629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.912338492,1 +144632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.274174071,1 +144635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.619399812,1 +144633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.521091839,1 +144636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.413386725,1 +144637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.270147768,1 +144638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.864516002,1 +144639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.427507181,1 +144634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.694725323,1 +144642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.358883822,1 +144641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.497571525,1 +144640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.905720076,1 +144643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.190843437,1 +144645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.078985442,1 +144644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.378274526,1 +144647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.984686816,1 +144646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.33999283,1 +144648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.425291522,1 +144649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.220860731,1 +144651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.80903584,1 +144650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.530407061,1 +144652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.120016933,1 +144653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.494529143,1 +144654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.265582529,1 +144657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.822151044,1 +144656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.999639559,1 +144655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.818687136,1 +144658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.120689318,1 +144660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.638343546,1 +144659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.341480314,1 +144661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.662726345,1 +144662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.94663895,1 +144663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.677232857,1 +144664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.654014142,1 +144665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.314430436,1 +144666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.147642121,1 +144667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.938900395,1 +144668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.226401891,1 +144670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.347958355,1 +144671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.586269966,1 +144669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,7.895151734,1 +144672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.158605693,1 +144673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.27154898,1 +144674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.066942796,1 +144675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.279065733,1 +144676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,1.6804136,1 +144677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.301082265,1 +144678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.931863301,1 +144679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.977506692,1 +144680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.956287575,1 +144681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.594509343,1 +144682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.393648402,1 +144684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.234853788,1 +144683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.886670571,1 +144685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.644517536,1 +144686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.63282046,1 +144687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.664340472,1 +144689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.664683944,1 +144688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.158524866,1 +144690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.77462476,1 +144691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.513127773,1 +144692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.667576226,1 +144693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.105823792,1 +144694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.288721308,1 +144695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.653436754,1 +144696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.106164088,1 +144698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.607844084,1 +144697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,7.235189224,1 +144699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.598481468,1 +144700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.363518999,1 +144701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.452688172,1 +144702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.395816431,1 +144703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.55146471,1 +144704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.336498763,1 +144705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.930016374,1 +144707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.459385504,1 +144706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.120379082,1 +144708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.753037346,1 +144709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,0.465033854,1 +144710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.954257245,1 +144712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.011720484,1 +144713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.04728768,1 +144714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.473575323,1 +144715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.631394455,1 +144716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.510749266,1 +144711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.757967831,1 +144717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.790133579,1 +144718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.103691425,1 +144720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.65652234,1 +144719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.648504827,1 +144721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.994773669,1 +144722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.42340117,1 +144723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.67080954,1 +144724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.275296225,1 +144726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.2213561,1 +144725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.28099218,1 +144728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.081967602,1 +144729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.648858243,1 +144730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.847715855,1 +144731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.513277825,1 +144727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.873630954,1 +144732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.514686062,1 +144733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.521173707,1 +144735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.182191349,1 +144734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,1.646757596,1 +144736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.746147495,1 +144739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.780296791,1 +144737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.121578537,1 +144738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.068423921,1 +144740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.439254031,1 +144741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.058329159,1 +144742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.165239748,1 +144743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.846379248,1 +144744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.809326849,1 +144745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.536088231,1 +144746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.417862002,1 +144748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.410157946,1 +144750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.093464914,1 +144749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.83930778,1 +144747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.013767987,1 +144752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,7.217192706,1 +144751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.532529816,1 +144753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.928237984,1 +144755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.077024487,1 +144754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.281562066,1 +144756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.710459727,1 +144757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.330549365,1 +144758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.871402048,1 +144759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.537614906,1 +144760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.341958595,1 +144761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.325392985,1 +144764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.966464089,1 +144762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.188886035,1 +144763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.6380242,1 +144765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.503403538,1 +144767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.151086966,1 +144768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.431872218,1 +144766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.235287843,1 +144769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.636586716,1 +144770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.688496538,1 +144772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.456325629,1 +144771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.830317683,1 +144773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.87118387,1 +144774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.219503424,1 +144775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.74302096,1 +144777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.43973673,1 +144776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.758047667,1 +144779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.101598434,1 +144778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.182088113,1 +144780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.869903335,1 +144781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.151521555,1 +144783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,7.046774073,1 +144782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.619421105,1 +144784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.515006341,1 +144785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.224460946,1 +144786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.557832443,1 +144787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.090377375,1 +144788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.431112278,1 +144789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.439309246,1 +144790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.530758962,1 +144791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.744175054,1 +144792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.484158649,1 +144793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,7.296677615,1 +144795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.407975655,1 +144794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.634541071,1 +144796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.558380382,1 +144798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.56500987,1 +144797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.190050615,1 +144799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.502259166,1 +144800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.434998726,1 +144801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.855024177,1 +144802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.077693339,1 +144803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.297577379,1 +144804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.124639401,1 +144805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.154830932,1 +144806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.373753844,1 +144807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.126281613,1 +144808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.085517197,1 +144809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.883521964,1 +144810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.389107955,1 +144811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.177483358,1 +144812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.313327746,1 +144813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.538177068,1 +144815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.244638026,1 +144816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.515862601,1 +144817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.859363343,1 +144818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.279311862,1 +144814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.658011883,1 +144819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.227922783,1 +144820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,8.496741056,1 +144821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.29719509,1 +144822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.744793152,1 +144823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.965697165,1 +144824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.236773853,1 +144825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.084916838,1 +144826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.062240816,1 +144828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.149058378,1 +144829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.02284033,1 +144827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.39872591,1 +144832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.050683855,1 +144831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.442361561,1 +144833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.212734607,1 +144830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.396780803,1 +144834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.499443305,1 +144835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.285606818,1 +144836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.685956786,1 +144838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.659261515,1 +144839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.774929228,1 +144837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.703456941,1 +144840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.786562915,1 +144844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.123192705,1 +144843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.287728198,1 +144841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.830956589,1 +144842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.434689265,1 +144846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.007736118,1 +144847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.126644858,1 +144848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.617907605,1 +144850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.505088538,1 +144845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.009946572,1 +144851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.22239268,1 +144852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.65961044,1 +144853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.913987643,1 +144849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.396423083,1 +144854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.514197885,1 +144856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.21884083,1 +144858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.094428656,1 +144855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.370261764,1 +144859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.111539712,1 +144857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.178968542,1 +144860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.365452112,1 +144861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.630957175,1 +144863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.974453349,1 +144864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.736260074,1 +144865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.669621794,1 +144866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.111956829,1 +144862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.969053029,1 +144867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.29370391,1 +144868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.590911251,1 +144870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.886894872,1 +144871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.929681871,1 +144872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.227715615,1 +144869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.032895773,1 +144873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.206273544,1 +144876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.020228,1 +144875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.071326711,1 +144877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.78564986,1 +144874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.942395868,1 +144879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.788057154,1 +144878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.884735274,1 +144881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.6761497,1 +144882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.133843414,1 +144883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.831593739,1 +144884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.208860123,1 +144880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.235446734,1 +144885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,1.596819533,1 +144888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.687644217,1 +144887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.345962919,1 +144886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.810731848,1 +144889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.644958586,1 +144890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.078820529,1 +144891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.700474192,1 +144892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.677733364,1 +144893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.841553618,1 +144894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.845937611,1 +144895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,7.172569131,1 +144896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.94804054,1 +144897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.669583069,1 +144898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.100263472,1 +144899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.935308128,1 +144900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.90994184,1 +144901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.518710433,1 +144903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,7.764125166,1 +144902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.697408998,1 +144905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.424251971,1 +144904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.263116605,1 +144906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.150516514,1 +144907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.511857919,1 +144908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.206012863,1 +144909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.185598397,1 +144910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.170940408,1 +144911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.309063318,1 +144912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.715113059,1 +144914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.743389823,1 +144913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.705778491,1 +144915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.641705089,1 +144916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.464929938,1 +144917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.642682307,1 +144918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.346676826,1 +144919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.686657815,1 +144920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.05905313,1 +144921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.831413569,1 +144922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.509406616,1 +144923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.956029807,1 +144925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.831790322,1 +144924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.230599497,1 +144926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.2591002,1 +144927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.64989022,1 +144928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.721042826,1 +144929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.735381873,1 +144930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.263256829,1 +144931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.442684508,1 +144932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.257718792,1 +144933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.450828567,1 +144934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.448771226,1 +144935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.120965662,1 +144936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.174371023,1 +144937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.030530447,1 +144938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.065977377,1 +144939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.230003847,1 +144940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,7.162390279,1 +144941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,7.166059454,1 +144943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.512454514,1 +144944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.104037349,1 +144945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.806093474,1 +144942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.560997746,1 +144946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.216304777,1 +144947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.634378935,1 +144948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.13168163,1 +144949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.596374523,1 +144950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.532608392,1 +144951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.953791685,1 +144952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.989511229,1 +144953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.82182585,1 +144954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.041382268,1 +144955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.965575888,1 +144956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.392449467,1 +144957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.291843886,1 +144958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.656332399,1 +144959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.301440936,1 +144960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.24981224,1 +144963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.620893289,1 +144961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.388126104,1 +144962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.655769396,1 +144964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.43920776,1 +144965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.801217884,1 +144967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.964790155,1 +144966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.214711854,1 +144969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.18127208,1 +144970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.962210641,1 +144968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.779594171,1 +144971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.194975318,1 +144972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,7.678005881,1 +144973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.7978343,1 +144975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.326764794,1 +144976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.63424537,1 +144974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.252527986,1 +144977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.837265585,1 +144980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.428524908,1 +144978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.495205706,1 +144979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.449970576,1 +144982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.106882978,1 +144981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.572031152,1 +144984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,1.528000226,1 +144985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.477354187,1 +144986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.702762964,1 +144987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.68446118,1 +144983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.735687901,1 +144989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.738119147,1 +144988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,7.146359514,1 +144990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.005807182,1 +144991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.609550748,1 +144992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.010670067,1 +144993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.218985219,1 +144995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.77826139,1 +144997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.527590369,1 +144994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,2.023677654,1 +144996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,3.821793993,1 +144998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,6.713298419,1 +145000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,5.683604395,1 +144999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,5,1,4.429919478,1 +154001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.529983844,1 +154002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.839053317,1 +154003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.521939673,1 +154005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.369650748,1 +154006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.664627305,1 +154007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.791747167,1 +154004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.719676254,1 +154008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.222802151,1 +154009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.399737599,1 +154010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.106615472,1 +154011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.631673422,1 +154012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.652522074,1 +154013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.683265026,1 +154014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.142748721,1 +154015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.56594081,1 +154016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.294673194,1 +154017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.593982154,1 +154018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.274763627,1 +154020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.297667623,1 +154021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.617774207,1 +154022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.392206602,1 +154019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.78238735,1 +154023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.049014382,1 +154024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.209455169,1 +154025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.323083323,1 +154026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.537096602,1 +154027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.946706159,1 +154028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.180654937,1 +154029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.919963362,1 +154030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.848573894,1 +154031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.267787575,1 +154032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,7.709802692,1 +154033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.019729652,1 +154034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.794126604,1 +154035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.986895818,1 +154036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.306728665,1 +154037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.119146492,1 +154039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.615038819,1 +154038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.709378075,1 +154042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.745052291,1 +154040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.79316891,1 +154041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.411689435,1 +154043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.206759325,1 +154045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.46966393,1 +154044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.17427059,1 +154046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.058958219,1 +154047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.598541032,1 +154048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.271514652,1 +154049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.86203503,1 +154050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,7.073782155,1 +154051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.85813743,1 +154053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.433193383,1 +154052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.720278779,1 +154054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.871708112,1 +154057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.961645977,1 +154058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.536362803,1 +154056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.053452875,1 +154055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.365815984,1 +154059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.482350448,1 +154060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.297613997,1 +154061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.573229383,1 +154062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.37525957,1 +154063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.707324851,1 +154064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.876345047,1 +154065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,1.332164688,1 +154068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.674198386,1 +154066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.915408941,1 +154067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.586586205,1 +154069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.455991116,1 +154071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.540233823,1 +154070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.800813251,1 +154073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.421655277,1 +154072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.743479578,1 +154074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.942172851,1 +154075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.984792358,1 +154077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.591725042,1 +154076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.534542707,1 +154079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.659154499,1 +154080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.453413412,1 +154081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.707089277,1 +154078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.944837739,1 +154082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.174662755,1 +154083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.369253634,1 +154084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.986148265,1 +154085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.084963855,1 +154087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.289573164,1 +154088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.542161888,1 +154086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.960516044,1 +154089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,7.120537393,1 +154091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.221119399,1 +154090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.399905153,1 +154092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.444526018,1 +154094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.860212824,1 +154095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.48479593,1 +154096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.363371441,1 +154093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.978262864,1 +154097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.351777933,1 +154098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.987581117,1 +154099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.913217021,1 +154100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.159102711,1 +154103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.118132932,1 +154102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.452637177,1 +154101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.802047932,1 +154104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.298889323,1 +154106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.547142601,1 +154105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.178144357,1 +154107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.82727196,1 +154109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.221927392,1 +154110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.602187704,1 +154111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.870908407,1 +154108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.740667947,1 +154112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.956602495,1 +154113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.827877363,1 +154114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.058342065,1 +154115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,7.326365331,1 +154116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.445269816,1 +154117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.771031982,1 +154118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.837497496,1 +154119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.787755945,1 +154120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.565360909,1 +154121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.79764281,1 +154123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.001941354,1 +154122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.409309044,1 +154125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.169426085,1 +154126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,7.544236329,1 +154127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.768837823,1 +154128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.234451379,1 +154130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.694006593,1 +154124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.317497549,1 +154129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.639726651,1 +154131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.57402197,1 +154133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.724555522,1 +154132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.152502119,1 +154134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.395508046,1 +154135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.568325216,1 +154137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.171334849,1 +154136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.300998439,1 +154138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.529910792,1 +154139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,7.165592892,1 +154140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.409631318,1 +154141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.369841627,1 +154142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.785342205,1 +154143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.717983477,1 +154144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.957064949,1 +154146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.376736356,1 +154145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,7.404107589,1 +154148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.689208231,1 +154147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.599877334,1 +154149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.380293103,1 +154150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.969260097,1 +154152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.683233755,1 +154151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,7.343435937,1 +154153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.686331289,1 +154155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.194707892,1 +154156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.759137198,1 +154154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.722663346,1 +154157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.396889221,1 +154158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.3046876,1 +154159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.404510258,1 +154160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.213573821,1 +154161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.191860319,1 +154163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.413108774,1 +154162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.293527287,1 +154164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.97019055,1 +154165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.514188792,1 +154167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,7.146632723,1 +154166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.841517195,1 +154168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.006408115,1 +154170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.355018637,1 +154171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.360243748,1 +154169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.428552418,1 +154172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.419366008,1 +154173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.022698115,1 +154174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.231358483,1 +154175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.481319695,1 +154176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.33738795,1 +154177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.538092994,1 +154179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.083299882,1 +154178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.997607873,1 +154180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.53028493,1 +154181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.961231494,1 +154183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.65339111,1 +154184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.092401163,1 +154182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.724876171,1 +154185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.926101548,1 +154186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.934184074,1 +154187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.796229958,1 +154188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.00765071,1 +154189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.538738587,1 +154190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.279658924,1 +154192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.388199761,1 +154193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.978265233,1 +154191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.804936577,1 +154194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.407310405,1 +154195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.612088354,1 +154196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.441244778,1 +154197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.636781216,1 +154198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.616244139,1 +154200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.134521597,1 +154199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.653875288,1 +154201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.458794327,1 +154202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.317364382,1 +154203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.80743058,1 +154204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,7.250730247,1 +154205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.587407527,1 +154206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.122124828,1 +154207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.223143339,1 +154208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.014195027,1 +154209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.978726752,1 +154210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.098592591,1 +154211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.378843992,1 +154213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.887078418,1 +154214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.469821192,1 +154215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,1.998106736,1 +154216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.307681766,1 +154217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.302027647,1 +154218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,8.535260751,1 +154219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.865372175,1 +154212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.11300169,1 +154220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.894604408,1 +154221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.656006212,1 +154222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.093439312,1 +154224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.65091163,1 +154225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.31573003,1 +154226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.224179112,1 +154223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.405882985,1 +154227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.895531438,1 +154228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.073523152,1 +154230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.315519246,1 +154232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.0020892,1 +154231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.049458596,1 +154229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.773838765,1 +154234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.848271009,1 +154235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.874968392,1 +154236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.629797274,1 +154233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.435158128,1 +154239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.478891198,1 +154238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.919980803,1 +154237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.800953508,1 +154240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,8.691160345,1 +154241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.3402133,1 +154243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.645517687,1 +154242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.137723801,1 +154244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,8.847905792,1 +154245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.729940858,1 +154246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.920940724,1 +154247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.608090599,1 +154248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,1.794855124,1 +154250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,8.171234589,1 +154249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,8.292768318,1 +154251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.423041048,1 +154255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.407182345,1 +154253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.974600104,1 +154254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.290152796,1 +154252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.096035461,1 +154256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.175285864,1 +154257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.927472946,1 +154258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.454589272,1 +154259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.073678905,1 +154261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.921836546,1 +154260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.343840194,1 +154262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.400748689,1 +154263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.702021126,1 +154264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.574681972,1 +154265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.200771321,1 +154266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.037966952,1 +154267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.31553353,1 +154268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.108468773,1 +154269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.771391326,1 +154270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.350332015,1 +154272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.170697683,1 +154271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.520688511,1 +154273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.108976187,1 +154274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.393878954,1 +154275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.417907888,1 +154277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.86156133,1 +154276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.823979155,1 +154278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.270036196,1 +154279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,1.862922607,1 +154282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.807795435,1 +154280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.474103875,1 +154281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.891040541,1 +154283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.046604289,1 +154284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.268117561,1 +154286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.172845468,1 +154285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.7949593,1 +154287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.70774562,1 +154288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.106279722,1 +154289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.030269735,1 +154290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.40846697,1 +154291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.612764502,1 +154293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.927414661,1 +154292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.357607243,1 +154294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.045624069,1 +154295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.016062945,1 +154296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.657943043,1 +154297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.549586036,1 +154298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.966872498,1 +154299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.863653359,1 +154301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.588078275,1 +154300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.590128209,1 +154303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.510165377,1 +154304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.529865472,1 +154305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.91186617,1 +154302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.439189058,1 +154306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.25103564,1 +154307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.598158419,1 +154308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,1.982262233,1 +154310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.678290105,1 +154311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.713934425,1 +154312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.574876467,1 +154309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.006586999,1 +154313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.442257456,1 +154314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.826197687,1 +154316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.695597691,1 +154315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.8553677,1 +154318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.798732074,1 +154317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.81225316,1 +154319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.423337473,1 +154321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.07892503,1 +154320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.991326933,1 +154322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.314621756,1 +154326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.939827267,1 +154325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.152690766,1 +154324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.499291736,1 +154327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,1.631173035,1 +154328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.033977117,1 +154329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.240617669,1 +154323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.897971059,1 +154331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.728331458,1 +154330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.472754684,1 +154333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.071536531,1 +154332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.459765167,1 +154334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.677838479,1 +154336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.795969484,1 +154335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.677110441,1 +154337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.895979331,1 +154340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.612050396,1 +154338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.28809704,1 +154341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.338402672,1 +154339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.398537819,1 +154343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.130277715,1 +154342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.755548177,1 +154344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.299882606,1 +154347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.013282131,1 +154345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.598942826,1 +154348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.984795338,1 +154346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,8.663482685,1 +154349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.902478292,1 +154351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.639343244,1 +154350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.810784106,1 +154352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.465431737,1 +154353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.051245972,1 +154354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.328628301,1 +154356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.963110647,1 +154357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,8.447968886,1 +154355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.219808471,1 +154358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.065670092,1 +154359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.193924513,1 +154361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.617482611,1 +154360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.053364699,1 +154362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.189441876,1 +154363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.07521897,1 +154364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.67682417,1 +154365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.098656669,1 +154367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.820985104,1 +154366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.303495044,1 +154369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.271774705,1 +154370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.20395639,1 +154371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.904040208,1 +154368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.111203299,1 +154372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,8.845012956,1 +154373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.122107693,1 +154374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,7.485517467,1 +154375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.040034644,1 +154379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,1.2348664,1 +154377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,7.797679722,1 +154376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.306367718,1 +154378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.191432897,1 +154381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.545223335,1 +154382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.942539109,1 +154383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.641798134,1 +154380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.810558146,1 +154384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.278466188,1 +154385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.855753659,1 +154386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.819429623,1 +154387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.696752522,1 +154388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.484555213,1 +154389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.59791278,1 +154390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.739879077,1 +154391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.345316521,1 +154392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.054127112,1 +154393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,7.002376689,1 +154394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,9.139456406,1 +154397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.428193818,1 +154396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.860499572,1 +154398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.305310315,1 +154395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.610326158,1 +154400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.895253982,1 +154399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.14922342,1 +154401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.613417173,1 +154403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.605639867,1 +154404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.585251212,1 +154402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.135498691,1 +154405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.963340357,1 +154408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.276301552,1 +154407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.703279841,1 +154406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,1.993872192,1 +154409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.231001121,1 +154412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.682865508,1 +154410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.014533902,1 +154411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.811782006,1 +154413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.732717126,1 +154414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.798344933,1 +154416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.157897917,1 +154417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.542777134,1 +154418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.494277838,1 +154419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.236487241,1 +154415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.014269865,1 +154420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.098842297,1 +154421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.675956589,1 +154423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.840606293,1 +154422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.332496321,1 +154424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.534086766,1 +154425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.125582846,1 +154426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.226142351,1 +154427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.95604485,1 +154428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.071801164,1 +154429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.11531663,1 +154430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.489477872,1 +154431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.981048716,1 +154432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.488161821,1 +154433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.252210899,1 +154435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.179912478,1 +154436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.523281262,1 +154438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.653771747,1 +154434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,1.756412983,1 +154437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.478767085,1 +154439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.981598685,1 +154440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.573095304,1 +154441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.951415182,1 +154442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.001178319,1 +154443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.298770943,1 +154444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.764007831,1 +154445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,1.767475138,1 +154446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.608107962,1 +154447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.743050041,1 +154448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.216914711,1 +154449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,7.15762621,1 +154451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.334362468,1 +154450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.776103988,1 +154453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.453901603,1 +154455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.824374625,1 +154452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.485451122,1 +154454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.095253582,1 +154456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.700019636,1 +154457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.554320824,1 +154459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.664533576,1 +154458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.853801503,1 +154460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.183156427,1 +154461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.024080687,1 +154462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,7.093637022,1 +154464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.626366043,1 +154463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.576336237,1 +154465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.941892736,1 +154466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.440427129,1 +154467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.239430127,1 +154468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.770130938,1 +154469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.944417152,1 +154471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.219075975,1 +154470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.918400552,1 +154472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.069585312,1 +154473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.898693222,1 +154474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.099725063,1 +154475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.141632921,1 +154477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.644083028,1 +154476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.72521323,1 +154478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.915266964,1 +154479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.276196669,1 +154480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.21171274,1 +154481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.785807604,1 +154482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.726365235,1 +154483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.818109765,1 +154484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.518859879,1 +154486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.225556643,1 +154487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,7.910585343,1 +154488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.641819948,1 +154489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.611695108,1 +154490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.607583195,1 +154485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.523010754,1 +154491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.133925624,1 +154492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.313099222,1 +154493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.965567182,1 +154494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.142999439,1 +154496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.961496221,1 +154497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.416400613,1 +154495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.446095847,1 +154501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.267521023,1 +154498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.235040543,1 +154499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.110423551,1 +154500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.774453494,1 +154503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.846873951,1 +154502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.712659217,1 +154504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.691589513,1 +154505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.964990032,1 +154507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.898146629,1 +154508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.720703235,1 +154509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.63535927,1 +154510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.720076841,1 +154511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.127627132,1 +154506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,1.772206083,1 +154512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.786981937,1 +154513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.331282471,1 +154515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.702347766,1 +154514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.236674899,1 +154516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,1.993200711,1 +154518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.443981107,1 +154517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.056408906,1 +154519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.145133499,1 +154520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.986970531,1 +154522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.123767646,1 +154521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.585546552,1 +154523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.185492643,1 +154524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.976768998,1 +154525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.454812669,1 +154527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.892211436,1 +154528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,8.021100136,1 +154529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,1.859717133,1 +154526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.461753063,1 +154530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.455149191,1 +154531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.054336069,1 +154532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.189102476,1 +154533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.929419781,1 +154534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.18201376,1 +154536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.927675539,1 +154535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.558206718,1 +154537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.588651794,1 +154538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.388905668,1 +154540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.397572477,1 +154539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.990159411,1 +154541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.719153937,1 +154542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.830664338,1 +154543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.501395222,1 +154544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.372740683,1 +154548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.268096219,1 +154547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.523629606,1 +154546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.187554265,1 +154545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.053855909,1 +154549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.852790619,1 +154550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.803646021,1 +154551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.199481008,1 +154552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.38383049,1 +154553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.460517305,1 +154555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.10170095,1 +154554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.824007067,1 +154556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.919458328,1 +154557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.084802425,1 +154558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.0824411,1 +154559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.559989468,1 +154561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.81059867,1 +154562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,7.361848664,1 +154560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.291037518,1 +154563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.490525186,1 +154564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.677045199,1 +154567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.434493183,1 +154566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.217166481,1 +154565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.154512561,1 +154568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.253019893,1 +154569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.05814502,1 +154570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.084171047,1 +154571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.855474082,1 +154572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.382775343,1 +154573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.160641797,1 +154575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.12594732,1 +154574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.599386076,1 +154576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.290494299,1 +154577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.548636999,1 +154579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.231354418,1 +154580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.666985055,1 +154578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.877534149,1 +154581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.166889279,1 +154582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.386095511,1 +154583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.268229658,1 +154585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.744232301,1 +154584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.028789484,1 +154586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.016089115,1 +154587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.267048385,1 +154588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.332047757,1 +154590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.303329135,1 +154589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.804596032,1 +154591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.980128535,1 +154594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.337303442,1 +154592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.56317408,1 +154593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,7.11472343,1 +154595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.51751313,1 +154597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.641922068,1 +154598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.207864401,1 +154599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.896264947,1 +154600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,1.198021813,1 +154596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.966299602,1 +154601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.332194446,1 +154602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.710346784,1 +154603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.26141598,1 +154604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.94863157,1 +154606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.59326643,1 +154607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.659550569,1 +154608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.764891509,1 +154605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.324596824,1 +154609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.002961665,1 +154610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.977098567,1 +154611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,7.759357156,1 +154612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.96693143,1 +154613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.760430078,1 +154614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.19621387,1 +154616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.801633939,1 +154617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.642591138,1 +154618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.454317722,1 +154615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.932612102,1 +154622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.232417089,1 +154619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.257572778,1 +154620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.487714612,1 +154621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.550669347,1 +154623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.533534073,1 +154625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,1.014919373,1 +154626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.52863607,1 +154627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,7.404803885,1 +154624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.188462855,1 +154628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.57997808,1 +154629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.533950671,1 +154630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.134867909,1 +154632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.1466709,1 +154633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.45652897,1 +154631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.002946559,1 +154636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.270809411,1 +154637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.347189838,1 +154635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.216337626,1 +154638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.366600698,1 +154634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.713523041,1 +154640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.477164288,1 +154642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.310340778,1 +154641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.025165568,1 +154639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.608439701,1 +154643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.577193537,1 +154644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.730521069,1 +154645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.135871147,1 +154647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.831133774,1 +154648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.093822481,1 +154646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.217502288,1 +154649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.349879221,1 +154652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.10832248,1 +154650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.856051421,1 +154653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.38370478,1 +154651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.275156296,1 +154654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.732005577,1 +154655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.462015337,1 +154656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,1.687762163,1 +154657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.341825186,1 +154659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.848995963,1 +154658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.202854132,1 +154660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,1.856124675,1 +154661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.237712564,1 +154662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.957932742,1 +154665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.260821589,1 +154664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.381975594,1 +154663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.56266722,1 +154668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.147983876,1 +154666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.748522813,1 +154667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.730863647,1 +154669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.408111921,1 +154671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.334384731,1 +154672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,8.547876969,1 +154670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.717936008,1 +154673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.471769914,1 +154674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.108109403,1 +154675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.661109829,1 +154676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.884256256,1 +154677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.185595056,1 +154679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.531468176,1 +154678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.678281793,1 +154683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,1.308707313,1 +154680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.930046139,1 +154681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.224405466,1 +154682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.77595335,1 +154685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,1.515942199,1 +154684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.409382882,1 +154687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.722714105,1 +154686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.785778001,1 +154689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.531187615,1 +154688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.52680874,1 +154690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.324638332,1 +154691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.412808212,1 +154692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.656833209,1 +154693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.769819323,1 +154694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.444376277,1 +154695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.427203731,1 +154696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.888388144,1 +154697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.152708155,1 +154698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,8.763500233,1 +154701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.663284737,1 +154700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.912120635,1 +154699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.349121401,1 +154702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.227711121,1 +154703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.991711978,1 +154704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.861435577,1 +154705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,7.320563477,1 +154706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.2940276,1 +154707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.50043666,1 +154708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,1.704250051,1 +154709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.245419827,1 +154710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.921732835,1 +154711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.386649998,1 +154713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.330501837,1 +154715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.722657075,1 +154712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.265522851,1 +154716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.247910446,1 +154717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.542991396,1 +154718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.552444011,1 +154719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.417867704,1 +154714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.957278974,1 +154720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.729528278,1 +154721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.498489383,1 +154722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.437216622,1 +154724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.500586639,1 +154723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.168572644,1 +154725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.665119294,1 +154726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.715775862,1 +154728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.482947435,1 +154727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.641761605,1 +154730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.454185317,1 +154729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.08854439,1 +154731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.490964004,1 +154732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.581611935,1 +154733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.203462633,1 +154734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.259886245,1 +154736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.635426351,1 +154737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.538401114,1 +154735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,7.58215404,1 +154738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.917925714,1 +154739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.899476238,1 +154740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.508771551,1 +154741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.93016502,1 +154742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.652086034,1 +154745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.744545088,1 +154744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.850045566,1 +154743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.955990141,1 +154749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.710679896,1 +154746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.212581335,1 +154748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.925660117,1 +154747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.363347433,1 +154750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.42864616,1 +154751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.652867735,1 +154752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,8.079691168,1 +154753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.2386691,1 +154754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.514556555,1 +154756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.346920113,1 +154755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.667162478,1 +154757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.016809293,1 +154758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.014287694,1 +154761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.778816587,1 +154759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.26573671,1 +154760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.807590499,1 +154762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.093854397,1 +154763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.130909173,1 +154764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.544952472,1 +154765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.036276129,1 +154766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.078439972,1 +154768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.286520602,1 +154770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.735991495,1 +154769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.992138216,1 +154771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.991089437,1 +154767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.985467721,1 +154773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.600067794,1 +154772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.059084976,1 +154775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.652013401,1 +154774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.219959112,1 +154776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.234166061,1 +154777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.850915271,1 +154778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.277477468,1 +154779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.450048859,1 +154780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.559082951,1 +154781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.600864333,1 +154782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.538946285,1 +154783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.327325671,1 +154785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.590723877,1 +154784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.600693533,1 +154787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.103100973,1 +154786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.869762054,1 +154788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.109952957,1 +154789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.424884673,1 +154791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.590445578,1 +154790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.900862223,1 +154792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.388350317,1 +154794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,9.261516441,1 +154795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.119932498,1 +154796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.616465476,1 +154797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,9.677128125,1 +154798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.920153073,1 +154799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.65709325,1 +154793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.706633032,1 +154800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.707702826,1 +154801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.960973466,1 +154802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.451413173,1 +154803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.042277621,1 +154804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.371955265,1 +154805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.237264045,1 +154806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.900993393,1 +154807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.90101706,1 +154809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,7.116807269,1 +154808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.401887495,1 +154810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.448580605,1 +154811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.16719568,1 +154812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.947003666,1 +154813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.707154024,1 +154814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.391714763,1 +154816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.087297451,1 +154817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.975959004,1 +154815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.814291406,1 +154818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.031339934,1 +154820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.572681384,1 +154819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.258369452,1 +154822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.424575211,1 +154821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.512614133,1 +154823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.578532858,1 +154824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.923921559,1 +154825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.697719621,1 +154826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.137756976,1 +154827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.895774991,1 +154828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,0.996492623,1 +154829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.960798216,1 +154831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.139449009,1 +154832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,7.115380502,1 +154833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.189308074,1 +154830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.608545904,1 +154835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.742991,1 +154834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.44560366,1 +154837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,8.469849792,1 +154836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.955979672,1 +154838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.270722991,1 +154839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.519031282,1 +154840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.134014999,1 +154841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.945413597,1 +154842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.338519745,1 +154843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.25357374,1 +154845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.344972693,1 +154844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.225806945,1 +154846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.507382288,1 +154847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.554729847,1 +154848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.017412641,1 +154850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.454649591,1 +154849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.037248842,1 +154852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.070469021,1 +154853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.351457842,1 +154851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.130500577,1 +154854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.916473526,1 +154855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.93968601,1 +154856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.290139543,1 +154857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.916426859,1 +154858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.701181669,1 +154860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.11858529,1 +154859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.582426507,1 +154861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.905013725,1 +154862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.806456297,1 +154863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.228925528,1 +154864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.391045925,1 +154865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,1.706557495,1 +154869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.700847364,1 +154866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.845335845,1 +154867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.571958105,1 +154868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.307010848,1 +154870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.718268377,1 +154871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.823969487,1 +154872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.354052245,1 +154873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.305292915,1 +154874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.488422574,1 +154876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.630787778,1 +154875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.086761372,1 +154877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.518248601,1 +154878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.343306563,1 +154879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.323518431,1 +154881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.609568205,1 +154880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.794390519,1 +154882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.236043155,1 +154883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.579327557,1 +154885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.890733895,1 +154884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.477010369,1 +154886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.947551637,1 +154887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.44006656,1 +154888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.615800406,1 +154890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.023146828,1 +154891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.104582676,1 +154889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.892371613,1 +154892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.181713817,1 +154893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.09134049,1 +154894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.581589757,1 +154896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.119293834,1 +154895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.463261592,1 +154897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.188100761,1 +154898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.443164471,1 +154899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.243394568,1 +154900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.882882951,1 +154901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.029426031,1 +154902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.702397709,1 +154903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.254114595,1 +154905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.7201292,1 +154906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.035832911,1 +154907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.470526013,1 +154904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.364229492,1 +154908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.265103466,1 +154909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.841147881,1 +154910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,7.303438106,1 +154911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.770797979,1 +154913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.177700043,1 +154912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.580587884,1 +154914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.22422489,1 +154915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.893692434,1 +154916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.974869312,1 +154917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.094713104,1 +154918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.836657998,1 +154920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.341376548,1 +154921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.578470618,1 +154919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.604435045,1 +154922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.933441472,1 +154923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.012741101,1 +154924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.370795595,1 +154926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.677974321,1 +154927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.243953299,1 +154925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.010844931,1 +154929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.858887722,1 +154928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.692202768,1 +154930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.046811164,1 +154933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.46715332,1 +154932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.781151257,1 +154931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.913135418,1 +154934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.707914793,1 +154936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.159416293,1 +154935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.122086978,1 +154938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.078371633,1 +154937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.117347762,1 +154939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.312492573,1 +154940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.409867302,1 +154941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.659594097,1 +154942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,7.689015805,1 +154944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.59834613,1 +154943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.972376992,1 +154945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.164319925,1 +154947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.621742744,1 +154946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.692033957,1 +154948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.664490088,1 +154949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.959870015,1 +154952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.090287734,1 +154951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.602062157,1 +154950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.41770606,1 +154953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.129942734,1 +154954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.622712153,1 +154955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.875234831,1 +154956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,7.43126317,1 +154957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.660801397,1 +154960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.968187912,1 +154958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.567105063,1 +154959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.920887624,1 +154962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,1.586592388,1 +154963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.839450186,1 +154961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.198595225,1 +154964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.663358953,1 +154965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.267538346,1 +154966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.887431515,1 +154968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,7.650168194,1 +154969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.480452048,1 +154970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,7.334047408,1 +154967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.770224207,1 +154971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.730704005,1 +154974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.48746211,1 +154972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.855491912,1 +154973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.649033545,1 +154976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.420349282,1 +154977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.427158111,1 +154978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.745061597,1 +154975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.987967433,1 +154979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.156343415,1 +154980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.087272778,1 +154981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.832869546,1 +154982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.835410079,1 +154983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.693496886,1 +154984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.148643297,1 +154986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.416910367,1 +154985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.477090836,1 +154990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,2.242138538,1 +154987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.962114784,1 +154988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.761637713,1 +154989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.165304963,1 +154991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.449984527,1 +154992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.86999437,1 +154993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.544939157,1 +154994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.512325139,1 +154995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.758260123,1 +154996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,4.643129713,1 +154997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.268277295,1 +154998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,6.118245003,1 +155000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,3.699186397,1 +154999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,5,1,5.456381305,1 +164001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.123574551,1 +164002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.486142246,1 +164004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.635329742,1 +164003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.026476269,1 +164005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.193400651,1 +164007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,7.788706742,1 +164009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.115316443,1 +164006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.86376882,1 +164008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.689049782,1 +164011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.994659165,1 +164010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.719354875,1 +164012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.636643404,1 +164013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.122426818,1 +164014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.619114025,1 +164015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.536600436,1 +164016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,7.295851511,1 +164017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,1.938970106,1 +164019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.313811643,1 +164021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.926210012,1 +164020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.583654783,1 +164018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.11240802,1 +164022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.656462714,1 +164025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.99952512,1 +164024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.159532982,1 +164023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.494072737,1 +164026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.51681287,1 +164028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.07309479,1 +164027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.379798462,1 +164029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.857815768,1 +164030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.667324908,1 +164033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.721239388,1 +164032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,8.735815157,1 +164031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,1.7940911,1 +164034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.017705581,1 +164035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.938080358,1 +164036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.629724006,1 +164038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,8.740680922,1 +164037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.913940164,1 +164039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.252796569,1 +164041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.302416812,1 +164042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.664403576,1 +164043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.289268094,1 +164040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.189975575,1 +164044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.090354369,1 +164045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.405634145,1 +164046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.120462013,1 +164048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.722341401,1 +164050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,7.554575089,1 +164049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,1.893085522,1 +164047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,7.079309618,1 +164054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.073222276,1 +164053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.326521697,1 +164051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.505732239,1 +164052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.533881917,1 +164055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.274062792,1 +164057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.309027477,1 +164056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,7.463176061,1 +164058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.124762731,1 +164060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.027622533,1 +164061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.459817901,1 +164062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.583902507,1 +164064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.216540361,1 +164063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.527745761,1 +164065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.441405748,1 +164059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.873229844,1 +164066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.126460781,1 +164069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.26209115,1 +164067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.188779248,1 +164068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.026050073,1 +164070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.128331747,1 +164071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.108178797,1 +164072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.808325908,1 +164073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.266171205,1 +164074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.815489127,1 +164076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.553716441,1 +164077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.335600836,1 +164075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.465739782,1 +164078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.267545996,1 +164079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.723237451,1 +164080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,8.336244795,1 +164083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.423965107,1 +164082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.563074169,1 +164084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.110969735,1 +164081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.186362271,1 +164086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.37481755,1 +164085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.52097033,1 +164087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.561113657,1 +164089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.406676174,1 +164090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.931644507,1 +164088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.568703223,1 +164091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.259507229,1 +164092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.511182736,1 +164093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.583863531,1 +164094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.313467987,1 +164095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.5481348,1 +164096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.138127618,1 +164097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.966360744,1 +164098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.690070656,1 +164099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.09309649,1 +164101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.589294737,1 +164100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.556206677,1 +164103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.940565194,1 +164104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.41521803,1 +164105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.505973464,1 +164102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.928845111,1 +164106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.526553563,1 +164107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.912334582,1 +164108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,1.460921322,1 +164109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.150506072,1 +164110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.556336004,1 +164111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.318222869,1 +164112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.932608175,1 +164113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.724670229,1 +164114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.848513612,1 +164115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,1.709195113,1 +164116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.987511346,1 +164119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.360947407,1 +164118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.243514308,1 +164117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.768435659,1 +164120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.803330266,1 +164121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.320925249,1 +164122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.078268739,1 +164123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.724537611,1 +164124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.732545557,1 +164125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.878171064,1 +164126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.316463176,1 +164127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.422568136,1 +164128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.901617516,1 +164129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.170765471,1 +164130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.472075205,1 +164133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.310360617,1 +164131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.421290286,1 +164134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.697074766,1 +164135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.492060103,1 +164136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.152260445,1 +164137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.544331908,1 +164132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.903001674,1 +164138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.433731724,1 +164139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.212011997,1 +164140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.23338638,1 +164141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.617221463,1 +164142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.264770633,1 +164144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,7.963789076,1 +164143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,10.05309126,1 +164145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.735032687,1 +164146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.255558172,1 +164148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.901151153,1 +164149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.28460326,1 +164150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.738046687,1 +164151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.86896973,1 +164147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.845125991,1 +164153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.647055033,1 +164154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.085382525,1 +164152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.547188084,1 +164155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.519543692,1 +164156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.184891351,1 +164159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.945807841,1 +164158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.922237549,1 +164157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.870049942,1 +164160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.376524865,1 +164161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.590767524,1 +164162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.215258657,1 +164163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.524500093,1 +164164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.924226497,1 +164166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,7.464167139,1 +164167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.607832223,1 +164168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.015713835,1 +164165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.243282218,1 +164170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.022569689,1 +164171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.769034552,1 +164169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.680090794,1 +164173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.37457138,1 +164172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.732675831,1 +164175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,10.26804286,1 +164174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.819292385,1 +164177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.589374352,1 +164176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.229417148,1 +164178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.330318422,1 +164179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.547613955,1 +164180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.905891957,1 +164181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.332615953,1 +164182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.421592354,1 +164183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.168384639,1 +164185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.932052337,1 +164186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.259759676,1 +164187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.521507518,1 +164188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.712634456,1 +164184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.221612518,1 +164190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.20795139,1 +164192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,8.035840807,1 +164189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.923598433,1 +164191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.76455058,1 +164193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.350262912,1 +164194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.231809373,1 +164195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.42225163,1 +164197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.233410914,1 +164196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.454474766,1 +164200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.275463093,1 +164198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.657902086,1 +164199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.618869988,1 +164201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.021787149,1 +164202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.285138642,1 +164204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.035086145,1 +164205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.493151833,1 +164203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.308785441,1 +164208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.211742688,1 +164207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.509708411,1 +164206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.240246831,1 +164209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.731266469,1 +164210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.938232294,1 +164211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.944017428,1 +164212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,8.256258939,1 +164213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.690164934,1 +164215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.784603382,1 +164214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.368634287,1 +164216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.176791375,1 +164218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.4616841,1 +164219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.897216582,1 +164220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.549667685,1 +164217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.104777265,1 +164221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.932394113,1 +164222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.102128998,1 +164223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.205445937,1 +164224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.260735481,1 +164225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,8.516228672,1 +164226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.977574205,1 +164227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,8.551747677,1 +164228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.034973483,1 +164229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.067856965,1 +164230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.816584013,1 +164231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.876352156,1 +164232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.242322963,1 +164233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.604890087,1 +164234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.553056629,1 +164235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.265366729,1 +164237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.223724723,1 +164238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.563622637,1 +164239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.120700017,1 +164236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.427917274,1 +164240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,7.841098927,1 +164241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.478177886,1 +164242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.670848694,1 +164243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.463123353,1 +164244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.009479044,1 +164245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.825777481,1 +164246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.560861243,1 +164247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.828583318,1 +164249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.454601633,1 +164248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.210607245,1 +164250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.453756263,1 +164251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,7.337496014,1 +164252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.103133356,1 +164253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.566926075,1 +164256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.027151638,1 +164257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.486614347,1 +164254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,8.489708533,1 +164255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.832248793,1 +164258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.133326045,1 +164259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.873535343,1 +164261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.156052041,1 +164262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.536865987,1 +164260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.817685817,1 +164263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.924357932,1 +164264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.579371636,1 +164265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.196912442,1 +164266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.852618637,1 +164267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,8.275332023,1 +164269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.246501357,1 +164268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.108394376,1 +164270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.13187422,1 +164271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.267674485,1 +164273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.063023274,1 +164272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.483640862,1 +164275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.852094159,1 +164276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.682873004,1 +164277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,7.060699779,1 +164274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.500490214,1 +164278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.134171037,1 +164279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.429212473,1 +164280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.664011719,1 +164281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,7.92193466,1 +164282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.779556214,1 +164283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.695395793,1 +164285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.168409103,1 +164284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.010149955,1 +164288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.832110917,1 +164286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.510393227,1 +164287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.568564078,1 +164289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.966974467,1 +164290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.278417592,1 +164291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.520120151,1 +164292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.465642606,1 +164293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.941556721,1 +164295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.256474716,1 +164296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.877036416,1 +164297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.260101869,1 +164294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,1.181033637,1 +164298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.64653965,1 +164299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.738523579,1 +164301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,7.521576597,1 +164302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.661601818,1 +164303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.560677582,1 +164300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.440354474,1 +164304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.966042827,1 +164305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.728374158,1 +164306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.641335252,1 +164308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.471287164,1 +164309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.84826308,1 +164307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.003930528,1 +164310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.265197476,1 +164312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.59273752,1 +164313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.10065818,1 +164311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,1.314895622,1 +164314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.81463347,1 +164315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.673552773,1 +164316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.234607399,1 +164317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.671076349,1 +164318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,1.866780626,1 +164319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.937352649,1 +164321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.255534996,1 +164322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.556238266,1 +164323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.679794388,1 +164324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.375848671,1 +164320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.430122684,1 +164325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.45248228,1 +164326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.470945231,1 +164327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.445577164,1 +164328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.987010748,1 +164329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.085401532,1 +164330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,9.043748009,1 +164331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.277925685,1 +164332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.807292895,1 +164333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.287432545,1 +164334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.14614242,1 +164335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.989639118,1 +164337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.144895745,1 +164338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.123702202,1 +164339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.401046151,1 +164340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.466714072,1 +164341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.872873063,1 +164342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,7.35073088,1 +164336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.971849955,1 +164343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.822709004,1 +164344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.103630355,1 +164346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.270208538,1 +164345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,7.810963042,1 +164347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.629179195,1 +164348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,1.391234302,1 +164349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,1.871801181,1 +164350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.434598188,1 +164351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.205251602,1 +164352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.378820422,1 +164354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.255014698,1 +164353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,1.801032117,1 +164355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.182370589,1 +164356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.790242631,1 +164357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.083822278,1 +164358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.537202946,1 +164359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.510620735,1 +164360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.296773764,1 +164361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.267813022,1 +164362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.255045289,1 +164364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.6452763,1 +164363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.161735891,1 +164365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.792464314,1 +164366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.828482565,1 +164368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.422311351,1 +164369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.332769723,1 +164367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.045331528,1 +164371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.288245416,1 +164370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.842319694,1 +164373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.903092152,1 +164372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.620348544,1 +164374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.808163869,1 +164375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.389397379,1 +164376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.660606829,1 +164377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.274704895,1 +164378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.531940924,1 +164379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.603943834,1 +164380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.136633817,1 +164381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.894234233,1 +164382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.498891937,1 +164384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.384257527,1 +164385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.328721488,1 +164383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.197300282,1 +164386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.282341776,1 +164387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.71335716,1 +164388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.123392097,1 +164389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.539890182,1 +164390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.605469145,1 +164392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.729419262,1 +164391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.74346158,1 +164393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,7.662788067,1 +164394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.341448986,1 +164396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.982100828,1 +164395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.053672743,1 +164397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,8.549156165,1 +164398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,8.842205454,1 +164399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.020737629,1 +164400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.750113473,1 +164401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.874109784,1 +164403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.46342415,1 +164402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.488104956,1 +164404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.85990587,1 +164408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.11684539,1 +164406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.671811992,1 +164407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.344453092,1 +164409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.244134033,1 +164410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.91474104,1 +164411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.87335957,1 +164412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.586992377,1 +164413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.573203732,1 +164414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.671760965,1 +164405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.325651955,1 +164415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.884737658,1 +164417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.131193494,1 +164416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.211893236,1 +164418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.066529007,1 +164420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.929985469,1 +164421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.844025931,1 +164419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.044230817,1 +164422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.019024272,1 +164424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.845910299,1 +164425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.742590918,1 +164423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.54476111,1 +164426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.577143921,1 +164428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.506727683,1 +164427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.384323912,1 +164429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.052753958,1 +164431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.888268263,1 +164432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.240733964,1 +164433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.818151678,1 +164434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.774741899,1 +164430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.710202427,1 +164435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.06673106,1 +164436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.588283345,1 +164437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.911097418,1 +164438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.343901933,1 +164439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.296456914,1 +164440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,7.067872923,1 +164441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.776170135,1 +164443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.371068466,1 +164442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.284071817,1 +164444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.307684033,1 +164445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.93747764,1 +164446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.093839722,1 +164447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,0.961097887,1 +164448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.500570248,1 +164449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,8.667412868,1 +164450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.407922838,1 +164452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,0.832237649,1 +164453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.502249053,1 +164454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.368599418,1 +164451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.641426672,1 +164456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.952844415,1 +164455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.969019216,1 +164457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.952364404,1 +164458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.511058651,1 +164459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.375294185,1 +164460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.998285752,1 +164461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.116511099,1 +164462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,7.318494926,1 +164463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.151996531,1 +164464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.145209904,1 +164465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.67761677,1 +164466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.813678186,1 +164468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.578358631,1 +164467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.938952321,1 +164469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.694327541,1 +164471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.020953898,1 +164470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.403773813,1 +164472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.668292498,1 +164473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.499103027,1 +164474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.221502623,1 +164475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.61564088,1 +164476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.343060713,1 +164477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.984770629,1 +164478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.136638003,1 +164480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.374922235,1 +164479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.569457381,1 +164481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.82771493,1 +164482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.343272712,1 +164483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.80039473,1 +164485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.533102381,1 +164486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.02957649,1 +164487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.155125503,1 +164488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,7.057356677,1 +164489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.552481069,1 +164484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.598574421,1 +164490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.706387735,1 +164491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.57574777,1 +164492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.843507388,1 +164493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.22802891,1 +164494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,9.766620485,1 +164496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,1.91665887,1 +164495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.585301612,1 +164497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.623984075,1 +164498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.710693454,1 +164500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.496634604,1 +164499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.699225969,1 +164501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.027142977,1 +164502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.062433001,1 +164503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.972311343,1 +164504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.808540266,1 +164506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.801634309,1 +164508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,1.620906426,1 +164507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.069338671,1 +164505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.799641307,1 +164509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.068719862,1 +164510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.933775458,1 +164511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.585060896,1 +164513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.763897313,1 +164514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.052190139,1 +164512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.730204065,1 +164515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.413684595,1 +164516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.227466953,1 +164517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.336761597,1 +164518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.022837206,1 +164519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.195009605,1 +164520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.062925529,1 +164521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.698759235,1 +164523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.753427028,1 +164524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.624851573,1 +164525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.560534994,1 +164526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.894382761,1 +164527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.980981614,1 +164522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.55918715,1 +164528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.59075212,1 +164529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.963386477,1 +164530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.119654028,1 +164531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.788769454,1 +164532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.068070263,1 +164533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.17006149,1 +164534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.619813394,1 +164535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.529820137,1 +164536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,8.729428576,1 +164537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.445681311,1 +164538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.480407917,1 +164539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.637719788,1 +164540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.415063416,1 +164542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.330713692,1 +164541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.036318979,1 +164544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.727578347,1 +164545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.831286008,1 +164546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.332162171,1 +164543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.825410534,1 +164548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.973729046,1 +164547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.55612703,1 +164549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.985180902,1 +164550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.142324404,1 +164551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,1.790006334,1 +164552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.858790521,1 +164553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.017740178,1 +164555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.783792306,1 +164554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,7.518435306,1 +164556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.562129439,1 +164557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.2076169,1 +164559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.418098682,1 +164558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.996805765,1 +164560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.981183259,1 +164561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,8.26329538,1 +164563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.731682714,1 +164565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.980397207,1 +164564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.819585757,1 +164562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.639167495,1 +164566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.581859784,1 +164568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.434220023,1 +164567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.623736476,1 +164570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.696104796,1 +164571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,7.964526596,1 +164572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.01102665,1 +164569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.670970717,1 +164574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.969451507,1 +164573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.408186176,1 +164575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.866661152,1 +164576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.848353743,1 +164577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.520232858,1 +164578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.369898509,1 +164579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.896305004,1 +164582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,7.412791139,1 +164580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.358847059,1 +164581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.351917767,1 +164583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.166811309,1 +164584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.293443787,1 +164586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.470004583,1 +164587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.693813678,1 +164588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.655529554,1 +164585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.733025245,1 +164590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.112133199,1 +164589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.032632201,1 +164591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.062674559,1 +164594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.877993453,1 +164593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.68372872,1 +164592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.578865124,1 +164595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.921697886,1 +164596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.326348934,1 +164598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.150544456,1 +164597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.185527743,1 +164599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.32245452,1 +164600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.316804134,1 +164602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.001581727,1 +164601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.023540557,1 +164603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.110218716,1 +164604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.082165996,1 +164605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.084957386,1 +164607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,1.615277332,1 +164608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.130202776,1 +164606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.731554456,1 +164610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.6961682,1 +164611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.468306399,1 +164612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.800708334,1 +164613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.60137537,1 +164609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.590375253,1 +164614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.462253988,1 +164615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.042485629,1 +164616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.399484685,1 +164618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.680832681,1 +164617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.917098001,1 +164619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.591528141,1 +164620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.557732999,1 +164621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.592802533,1 +164622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.877601978,1 +164624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.414112021,1 +164626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.392754505,1 +164623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.424361056,1 +164625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.995454727,1 +164627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.567608106,1 +164630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.367928843,1 +164629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.371947328,1 +164631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.208974743,1 +164632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.260583986,1 +164633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.445357499,1 +164628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.856035508,1 +164634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.301792583,1 +164637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.632856531,1 +164636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.235285442,1 +164635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.992000401,1 +164639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.950735184,1 +164638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.678071998,1 +164640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.233667412,1 +164641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.754821927,1 +164642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.749552322,1 +164643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.813022563,1 +164644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.884620416,1 +164645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.703314166,1 +164646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.799825612,1 +164647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.018150248,1 +164648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,1.717986281,1 +164649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.025518353,1 +164651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.224016347,1 +164650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.529243058,1 +164653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.713381097,1 +164652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.255064684,1 +164654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.876163342,1 +164655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.730465929,1 +164656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.536145901,1 +164657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.440142952,1 +164658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,1.982998698,1 +164659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,1.906319303,1 +164660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.431213976,1 +164661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.857583237,1 +164662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.408012145,1 +164663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.102888839,1 +164664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,7.921058805,1 +164665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.945345276,1 +164666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.07695528,1 +164668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.327995221,1 +164670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.534863882,1 +164667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.263902376,1 +164671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.655548979,1 +164672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.857967788,1 +164673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.462332832,1 +164669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.444407422,1 +164674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.618762535,1 +164675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.826871673,1 +164676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.431330891,1 +164677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.511943132,1 +164679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.163662459,1 +164678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.685002268,1 +164680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.031055539,1 +164681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.354761726,1 +164683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.112564526,1 +164682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.177290402,1 +164684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.739558933,1 +164685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.66836501,1 +164686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.836106447,1 +164687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.081229235,1 +164688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.611975419,1 +164690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.130012377,1 +164691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.518936122,1 +164692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.589850356,1 +164694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.655506702,1 +164693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,7.251348356,1 +164695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.598289872,1 +164689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.814562847,1 +164697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.371608349,1 +164699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.63022566,1 +164698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.09943772,1 +164696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.727601911,1 +164700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.298866708,1 +164701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.645417528,1 +164702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.258136446,1 +164703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.803464351,1 +164704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.521963507,1 +164707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.024659452,1 +164705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.25301372,1 +164706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.612108719,1 +164708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.882471567,1 +164710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.97141234,1 +164711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.397578467,1 +164712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.066818715,1 +164709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.645846891,1 +164713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.156615831,1 +164714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.142665733,1 +164715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.366528598,1 +164716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,7.456496081,1 +164717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.495598879,1 +164719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.990251052,1 +164718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.344932891,1 +164720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.897119355,1 +164721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.198944985,1 +164722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.177529353,1 +164723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.91050493,1 +164724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.811267545,1 +164725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.333587212,1 +164727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.304894283,1 +164726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.730329184,1 +164729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.423225705,1 +164728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.043429423,1 +164730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,1.677419791,1 +164731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.723807337,1 +164732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.624346121,1 +164733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.285965057,1 +164734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.121125919,1 +164735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.916407017,1 +164736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.171096178,1 +164738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.450967283,1 +164739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.410519575,1 +164740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.288071973,1 +164737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.920739834,1 +164741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.210169269,1 +164744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.840036322,1 +164743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.960683963,1 +164742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.345459617,1 +164745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.875917867,1 +164746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.731170913,1 +164747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.634984121,1 +164748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,1.477440291,1 +164750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,8.793784935,1 +164749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.180400977,1 +164752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.8935127,1 +164751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.97228725,1 +164754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.708464401,1 +164753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.800176243,1 +164755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,8.852966143,1 +164757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.381182837,1 +164756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.173128627,1 +164758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,0.574979007,1 +164759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.743847361,1 +164760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.489425817,1 +164761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.46831111,1 +164762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.555668312,1 +164763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.497057011,1 +164764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.48560348,1 +164765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.684283483,1 +164767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.233677693,1 +164768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.015402139,1 +164766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.975776742,1 +164770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.722771418,1 +164771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.024444933,1 +164769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.304009313,1 +164773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.388761168,1 +164774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.207497889,1 +164775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.66443978,1 +164772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.029202378,1 +164779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.858968215,1 +164778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.44059169,1 +164776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.618204956,1 +164777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.42531957,1 +164780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.248974969,1 +164781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.226560902,1 +164782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.590956663,1 +164783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.02017524,1 +164786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.864998959,1 +164785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.755485974,1 +164787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.014160478,1 +164788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.173283129,1 +164784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,7.80280974,1 +164790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.474294137,1 +164789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.493816476,1 +164792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.376172817,1 +164791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.325145146,1 +164793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.963775311,1 +164794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.853129842,1 +164795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.234182243,1 +164796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.866303693,1 +164797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.064995835,1 +164798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.71664606,1 +164799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.111663569,1 +164800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.059833026,1 +164801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.038956938,1 +164802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.11939262,1 +164804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.26510372,1 +164805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.745779001,1 +164806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.752749033,1 +164803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.193693606,1 +164807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,7.704107474,1 +164808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.853506348,1 +164810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,7.124351214,1 +164812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.700045586,1 +164811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.293941526,1 +164813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.955266519,1 +164809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.722737115,1 +164814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.084226725,1 +164815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.732551775,1 +164816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.457323599,1 +164819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.07409481,1 +164818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.834912405,1 +164817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.239395037,1 +164820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.441873027,1 +164821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.323026665,1 +164822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.197558246,1 +164824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.652571912,1 +164823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.568542797,1 +164825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.328243891,1 +164826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.962752814,1 +164827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.512571913,1 +164828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.863218807,1 +164829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.220627801,1 +164830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.078479914,1 +164831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,1.390807892,1 +164833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.52835516,1 +164834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.397944327,1 +164832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.389329398,1 +164835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.021327874,1 +164837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.392707074,1 +164836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.810390747,1 +164838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.911817079,1 +164839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.762798901,1 +164840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.005419549,1 +164841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.379846338,1 +164842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.180417084,1 +164843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.559492599,1 +164844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.503324786,1 +164845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.254600031,1 +164847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.836619824,1 +164848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,1.797624525,1 +164849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.785433872,1 +164850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.834042735,1 +164846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.783459496,1 +164851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.296829298,1 +164852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.661934037,1 +164854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.472361426,1 +164853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.371203608,1 +164855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.888355805,1 +164856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.279944463,1 +164857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.435355857,1 +164858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.61605057,1 +164859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.797647731,1 +164860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.670366236,1 +164862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.897886129,1 +164861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.440239588,1 +164863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,7.407327794,1 +164864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.313188607,1 +164865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.75222333,1 +164867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.254392261,1 +164868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,7.737084615,1 +164869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.737168267,1 +164866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.436768455,1 +164871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.822229671,1 +164870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.137371361,1 +164873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.700129578,1 +164872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.410106211,1 +164874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.843711433,1 +164875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,1.643166822,1 +164877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.344167415,1 +164876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.808291875,1 +164879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.60988693,1 +164878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.517618819,1 +164880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.178813913,1 +164883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.925722923,1 +164882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.847114583,1 +164881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.082665147,1 +164884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.569301945,1 +164886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.928351904,1 +164885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.048226133,1 +164887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.490981431,1 +164889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.52711255,1 +164888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.808629647,1 +164890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.914648666,1 +164891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.80832198,1 +164892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.43952578,1 +164893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.296573411,1 +164894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.809017425,1 +164895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.546324606,1 +164896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.326220349,1 +164897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,1.35190261,1 +164898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,7.540410646,1 +164900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,7.328258434,1 +164901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.247862726,1 +164902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.024427777,1 +164903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.979065913,1 +164899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.121638421,1 +164904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.737804495,1 +164905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.227572483,1 +164906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.9291589,1 +164908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.632216801,1 +164909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,8.100828199,1 +164907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.89454287,1 +164910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.420980304,1 +164911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.148847511,1 +164912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.345315087,1 +164913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.42267391,1 +164914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.035278125,1 +164915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.058326836,1 +164916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.848017753,1 +164918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,7.243570358,1 +164919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.926177179,1 +164920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.125602219,1 +164921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.65288243,1 +164922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.611498094,1 +164917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.287619699,1 +164923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.26386251,1 +164924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.338185942,1 +164925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.226249723,1 +164927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.009036599,1 +164926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.885842105,1 +164929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.548666256,1 +164928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.813278912,1 +164930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.907212852,1 +164931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.510854023,1 +164932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.226000392,1 +164933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.315722286,1 +164934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.819511096,1 +164935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.540569889,1 +164936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.072517363,1 +164938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.421364867,1 +164937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.236211684,1 +164941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.665956044,1 +164940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.384360023,1 +164942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.0548213,1 +164939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.719800441,1 +164945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.680461169,1 +164943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.03524964,1 +164944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.078776221,1 +164946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,8.042896531,1 +164948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.300785672,1 +164949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.958491783,1 +164951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.983250903,1 +164950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.0518061,1 +164952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.457727593,1 +164947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.467104006,1 +164953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.0447892,1 +164954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.450461513,1 +164955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.100478716,1 +164956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.76579309,1 +164959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.906082208,1 +164958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.417200136,1 +164957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.141481891,1 +164960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.217883162,1 +164962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.339716084,1 +164963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.758807335,1 +164964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.482432082,1 +164961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,7.054808602,1 +164965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.357582307,1 +164967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.371806502,1 +164968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.42608703,1 +164969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,1.746205805,1 +164970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.944447455,1 +164966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.159559787,1 +164971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.306683182,1 +164972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.684825118,1 +164973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.122034375,1 +164974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,7.630988042,1 +164975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.26417648,1 +164976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.510058477,1 +164978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.66338366,1 +164977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,1.933244708,1 +164980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.937504188,1 +164981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.883392707,1 +164979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.835685772,1 +164982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.533371674,1 +164983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.616567722,1 +164984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.073845569,1 +164985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.949771081,1 +164986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.676120329,1 +164987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.493788014,1 +164989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.394476814,1 +164990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.945733654,1 +164988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,2.90540027,1 +164993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.392438902,1 +164991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.070473492,1 +164992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,4.782030702,1 +164994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.849585851,1 +164995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,5.485923667,1 +164996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.203956801,1 +164997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,7.637675161,1 +164998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.839115853,1 +164999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,6.397675281,1 +165000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,5,1,3.49352648,1 +174001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.336941744,1 +174002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.22479234,1 +174004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.215822553,1 +174005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.772279559,1 +174006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.950007331,1 +174003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.00456968,1 +174007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.043321913,1 +174008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.346332512,1 +174009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.925126387,1 +174010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.109748763,1 +174011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.825223672,1 +174012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.254046291,1 +174013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.905589041,1 +174014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.160798604,1 +174015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.278321901,1 +174016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.074878734,1 +174017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.127294615,1 +174019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.474658229,1 +174020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.096709296,1 +174021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.67518745,1 +174018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.914083142,1 +174022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.5888511,1 +174023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.147234815,1 +174025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.004802735,1 +174026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.772815965,1 +174024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.265367248,1 +174027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.32031467,1 +174028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.096527972,1 +174029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.960690396,1 +174031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.534153753,1 +174030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.215909502,1 +174033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.613890553,1 +174032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.897260527,1 +174034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.8902188,1 +174035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.889724324,1 +174036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.33748265,1 +174037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.376191627,1 +174038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.999662202,1 +174039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.98903766,1 +174040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.191649937,1 +174041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.887264616,1 +174042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.19580296,1 +174044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.530830349,1 +174045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.473865091,1 +174046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.101060545,1 +174047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.84032089,1 +174043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.291401915,1 +174049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.444863611,1 +174048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.93710914,1 +174051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.573674882,1 +174050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.962667889,1 +174052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.012778915,1 +174053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.689974177,1 +174054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.04182242,1 +174055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.871252441,1 +174056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.293957358,1 +174057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.2635679,1 +174058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.221916937,1 +174059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.490962394,1 +174060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.492598785,1 +174063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.434362369,1 +174061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.957714046,1 +174064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.507636134,1 +174062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.228308856,1 +174066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.049745581,1 +174065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.964194447,1 +174068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.627323322,1 +174067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.237636959,1 +174069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.027743993,1 +174070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.170087602,1 +174071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.231381146,1 +174072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.875933322,1 +174074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.538884789,1 +174073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.698732248,1 +174075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.663338198,1 +174076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.209049622,1 +174077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.522993494,1 +174078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.404414571,1 +174080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.475737141,1 +174079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.484487854,1 +174082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.148605678,1 +174081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.50391032,1 +174084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.723305802,1 +174083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.924959614,1 +174085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.075377405,1 +174086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.090037393,1 +174087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.859746239,1 +174088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.368337604,1 +174092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.070702266,1 +174090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.163449007,1 +174091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.095924739,1 +174089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.27849941,1 +174094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.124851435,1 +174095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.162571794,1 +174096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.390560932,1 +174093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.622420983,1 +174097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.034237883,1 +174098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.357276304,1 +174100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.33795896,1 +174101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.257782221,1 +174102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.446354954,1 +174103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.544424258,1 +174104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.987787816,1 +174105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.086546898,1 +174099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.296624217,1 +174106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.337087111,1 +174107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.649928577,1 +174108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.271441276,1 +174109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.942775525,1 +174110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.367007521,1 +174111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.922207684,1 +174113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.513306914,1 +174115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.474395423,1 +174112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.380093345,1 +174114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.647388802,1 +174116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.646338828,1 +174118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.7376972,1 +174117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.894889687,1 +174119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.019877338,1 +174122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.888897974,1 +174121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.63826537,1 +174123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.262791025,1 +174125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.146488056,1 +174126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.661229762,1 +174120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.2130287,1 +174124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.355178842,1 +174129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.262562929,1 +174128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.149486793,1 +174127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.893689243,1 +174130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.376783541,1 +174131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.913073719,1 +174132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.905322206,1 +174133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.868974989,1 +174134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.941210721,1 +174136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,9.003009939,1 +174137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.003203462,1 +174135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.337978432,1 +174138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.091235837,1 +174139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.592141502,1 +174140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.656814887,1 +174142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.361219669,1 +174141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.893772886,1 +174143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.721352895,1 +174144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.504931096,1 +174145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.984750315,1 +174146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.916954849,1 +174147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.12676674,1 +174148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.923497354,1 +174149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.044465256,1 +174150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.160657049,1 +174151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.67788932,1 +174152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.361802572,1 +174153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.224481555,1 +174154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.496046229,1 +174155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.416205743,1 +174156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.851333996,1 +174157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.531115161,1 +174159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.698299465,1 +174160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.645520723,1 +174158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.976146979,1 +174162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.586418067,1 +174161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.418077381,1 +174163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.802758727,1 +174164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.533458545,1 +174165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.849492366,1 +174166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.870163274,1 +174167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.8286188,1 +174169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.707182624,1 +174170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.221365096,1 +174168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.839001787,1 +174171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.852145204,1 +174173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.057471697,1 +174174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.917587832,1 +174172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.375922893,1 +174175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.745771163,1 +174176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.932658769,1 +174177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.568123901,1 +174178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.944685448,1 +174179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.847704047,1 +174180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.343283981,1 +174182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.446024378,1 +174183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.275351869,1 +174181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.869688585,1 +174184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.944927538,1 +174185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.799235443,1 +174186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.379642196,1 +174187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.874227307,1 +174189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.918153293,1 +174188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.823281667,1 +174190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.470540347,1 +174191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.53240698,1 +174192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.845242288,1 +174194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.604333265,1 +174196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.399021987,1 +174195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.907463829,1 +174197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,8.799632002,1 +174193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.149533452,1 +174198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.134595657,1 +174199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.642278637,1 +174200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.551582431,1 +174202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.169480412,1 +174203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.778407425,1 +174201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.307566683,1 +174204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.579318696,1 +174205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.760982965,1 +174207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.839814729,1 +174206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,8.368068264,1 +174208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.391776557,1 +174209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.261122024,1 +174210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.963004907,1 +174212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.174340249,1 +174211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.214420573,1 +174213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.514499498,1 +174215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.748889867,1 +174217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.196961209,1 +174216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.746649961,1 +174214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.490881176,1 +174220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.649923319,1 +174221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.384472169,1 +174218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.507558915,1 +174219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.526328107,1 +174223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.142071812,1 +174222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.51677257,1 +174225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.627016405,1 +174224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.271645649,1 +174226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.32712905,1 +174227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.183264133,1 +174228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.654299449,1 +174229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.697403243,1 +174231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.716917609,1 +174232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.700435996,1 +174233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.533541266,1 +174230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.732208501,1 +174234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.661387379,1 +174236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.313364242,1 +174235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.059276349,1 +174237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,8.266157536,1 +174238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.050130552,1 +174239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.626860822,1 +174240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.761500505,1 +174241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.201019714,1 +174242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,9.10370985,1 +174243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.134762972,1 +174244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.040963029,1 +174245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.080177741,1 +174246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.096179711,1 +174247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.114337667,1 +174248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.857818712,1 +174249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,9.801517334,1 +174252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.142508437,1 +174250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.056247229,1 +174251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.785576409,1 +174254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.050886591,1 +174253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.116826967,1 +174255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.743962879,1 +174257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.212802992,1 +174256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.867315854,1 +174259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.286491627,1 +174258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.886580001,1 +174261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.073078332,1 +174260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.318342945,1 +174262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.955310464,1 +174265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.940814587,1 +174264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.192514963,1 +174263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.095796397,1 +174266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.43411587,1 +174268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.891074962,1 +174267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.098577335,1 +174269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.193721261,1 +174270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.349337008,1 +174271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.055728281,1 +174272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.562283998,1 +174274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.839863878,1 +174275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.13474771,1 +174276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.066897358,1 +174273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.005514374,1 +174277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.37613244,1 +174279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.669978603,1 +174278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.868476909,1 +174280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.459601781,1 +174282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.397812283,1 +174281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.263826206,1 +174283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.044872908,1 +174284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.286542561,1 +174285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.097135692,1 +174286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.063294672,1 +174287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.730306661,1 +174288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.140265102,1 +174289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.761705242,1 +174290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.140780991,1 +174291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.165089549,1 +174293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.343627177,1 +174294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.541171349,1 +174295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.692494795,1 +174292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.545180964,1 +174297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.683067807,1 +174299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.453490349,1 +174296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.522137914,1 +174298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.639214957,1 +174302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.770627161,1 +174301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.155368063,1 +174300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.866887804,1 +174303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.601875131,1 +174304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.068903526,1 +174305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.744079065,1 +174306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.698497379,1 +174307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.976100072,1 +174308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,8.652859688,1 +174310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.756064579,1 +174311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.502408242,1 +174309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.986561585,1 +174312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.75898585,1 +174313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.494745199,1 +174314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.631899809,1 +174315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.572105086,1 +174316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.836442669,1 +174317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.44805237,1 +174318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.566963056,1 +174319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.219602999,1 +174320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.885804672,1 +174322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.902083674,1 +174321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.567516875,1 +174323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.694279554,1 +174324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.953771167,1 +174325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.801558093,1 +174326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,8.315883964,1 +174327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.45283573,1 +174330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.299489037,1 +174328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.689205488,1 +174329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.76533076,1 +174333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.259534274,1 +174332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.355538786,1 +174334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.418407474,1 +174331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.816452928,1 +174335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.425902272,1 +174336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.071498411,1 +174337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.792252748,1 +174338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.923144651,1 +174339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.169329907,1 +174341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.47054462,1 +174340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.043807471,1 +174344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.334209401,1 +174342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.300127619,1 +174345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.344144191,1 +174343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.745544946,1 +174346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.731975361,1 +174348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.613899462,1 +174349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.78477324,1 +174347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.10171384,1 +174350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.423145843,1 +174351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.430101847,1 +174352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.962928137,1 +174353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.807757462,1 +174354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.041079363,1 +174355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.861609404,1 +174356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.649832905,1 +174357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.266360763,1 +174358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.103802593,1 +174359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.344092266,1 +174360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.560428425,1 +174362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.636953912,1 +174361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.784481954,1 +174363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.698887541,1 +174364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.387537904,1 +174365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.265167273,1 +174366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.988556949,1 +174367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.548204904,1 +174368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.626372465,1 +174369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.838351928,1 +174370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.414558249,1 +174371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.862978284,1 +174372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.557599636,1 +174373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.947973054,1 +174376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.20636406,1 +174377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.957005656,1 +174374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.671163761,1 +174375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.953449173,1 +174379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.774315361,1 +174378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.911503131,1 +174380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,8.259501606,1 +174381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.349740764,1 +174382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.316107355,1 +174383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.184413158,1 +174384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.063642721,1 +174386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.038024031,1 +174387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.490136924,1 +174388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.937915692,1 +174385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.807097425,1 +174389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.730489683,1 +174392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.266502027,1 +174390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.990826977,1 +174391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.15089194,1 +174393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.989792019,1 +174395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.267206676,1 +174396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.879773098,1 +174397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.641539631,1 +174398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.859840524,1 +174394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.020068254,1 +174399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.727077128,1 +174400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.199054301,1 +174401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.442426564,1 +174403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.805904461,1 +174402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.623735982,1 +174404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.349823842,1 +174405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.22658644,1 +174407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.598236311,1 +174406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.110851696,1 +174408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.369483075,1 +174409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.242857195,1 +174410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.632525912,1 +174411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.939843383,1 +174412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.999563901,1 +174413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.163670925,1 +174415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.030399252,1 +174416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.785813979,1 +174417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.422653431,1 +174414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.848900977,1 +174418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.869575839,1 +174419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.191846766,1 +174420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.253997373,1 +174421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.556325005,1 +174422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.365022395,1 +174423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.011217417,1 +174424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.434203621,1 +174425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.050922547,1 +174427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.397583259,1 +174426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.848211692,1 +174428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.511289217,1 +174429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.003971593,1 +174430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.224251,1 +174433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,11.50757177,1 +174431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.797729887,1 +174432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.56445247,1 +174434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.454420702,1 +174435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.337380858,1 +174436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.493627294,1 +174437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.198409628,1 +174438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.511920785,1 +174439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.888631109,1 +174441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.163386971,1 +174440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.639888334,1 +174442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.987089908,1 +174444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.587803956,1 +174443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.412368067,1 +174445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.802731625,1 +174446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.482107449,1 +174448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.299259326,1 +174450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.359528429,1 +174449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.672687873,1 +174447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.238721795,1 +174451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.329575435,1 +174452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.644874502,1 +174454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.0224985,1 +174455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.804781151,1 +174456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.215169327,1 +174457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.061009483,1 +174453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.390535202,1 +174458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.724706023,1 +174459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.649546671,1 +174460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.228781006,1 +174462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.066166763,1 +174463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.000937101,1 +174461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,8.531062339,1 +174464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.508130677,1 +174466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.090191963,1 +174465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.369693963,1 +174468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.972257063,1 +174467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.288037511,1 +174469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.932330423,1 +174470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.720479504,1 +174471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.084662848,1 +174473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.582693221,1 +174474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.188984686,1 +174472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.559172417,1 +174475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.424873275,1 +174476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.405835551,1 +174477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.797819073,1 +174479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.868401464,1 +174480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.88993339,1 +174478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.116732155,1 +174481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.179395449,1 +174483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.651596519,1 +174482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.768715899,1 +174484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.26422425,1 +174485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.970862397,1 +174486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.927651495,1 +174487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.209508277,1 +174488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.80294244,1 +174489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.961960983,1 +174490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.395502933,1 +174491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.497357405,1 +174492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.868188591,1 +174493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.075419389,1 +174494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.830310513,1 +174495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.875115337,1 +174497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.422933399,1 +174498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.137462279,1 +174496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.913890269,1 +174499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.932361259,1 +174500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.378377437,1 +174501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.333498562,1 +174502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.292052926,1 +174503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.74822004,1 +174505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,0.494431245,1 +174504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.769017779,1 +174506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.454675548,1 +174507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.087171072,1 +174509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.142688927,1 +174511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.653266301,1 +174508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.104251,1 +174510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.410237142,1 +174512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.307976514,1 +174514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.384819016,1 +174515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.130119701,1 +174513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.794457513,1 +174516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.54658889,1 +174517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.750093064,1 +174519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.977466665,1 +174518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.583383113,1 +174520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.683303899,1 +174521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.143995028,1 +174522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.900647783,1 +174523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.622499231,1 +174524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.950665922,1 +174525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.615444474,1 +174528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.571269091,1 +174526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.703266437,1 +174527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.711362625,1 +174529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.646560159,1 +174530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.067578729,1 +174531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.803662283,1 +174532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.725060633,1 +174533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.03216308,1 +174534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.832399708,1 +174535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.521499023,1 +174536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.511180525,1 +174537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.676713363,1 +174538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.186653163,1 +174539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.261003708,1 +174540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.879376135,1 +174541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.275526659,1 +174542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.778865181,1 +174543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.357716801,1 +174544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.1343168,1 +174545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.004527727,1 +174546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.720227222,1 +174547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.786888044,1 +174549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.929765125,1 +174548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.885229846,1 +174550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.299163243,1 +174551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.893636924,1 +174552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.665460804,1 +174554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.842523249,1 +174553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.297654992,1 +174555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.993983034,1 +174556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.043293333,1 +174557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.40026561,1 +174558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.901934665,1 +174559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.882116116,1 +174561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.330990323,1 +174560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.023924329,1 +174563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.723705236,1 +174564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.97081368,1 +174565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.384115146,1 +174566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.532048231,1 +174567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.543783389,1 +174568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.67828969,1 +174562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.069357518,1 +174569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.696992138,1 +174570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.229238138,1 +174571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.64480421,1 +174572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.352966661,1 +174575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.266780988,1 +174573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.26743539,1 +174574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.562672821,1 +174576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.529071381,1 +174577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.800583508,1 +174579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,8.493070304,1 +174578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.37325828,1 +174580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.539934841,1 +174581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.827137687,1 +174582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.144022562,1 +174583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.064044516,1 +174584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.895337999,1 +174585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.677869714,1 +174586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.913224948,1 +174587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.718220264,1 +174588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.109276557,1 +174589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.331699892,1 +174590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.905673152,1 +174591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.475910249,1 +174592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.325591761,1 +174593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.385581802,1 +174594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.073009023,1 +174596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,8.166655929,1 +174597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.120349527,1 +174595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.875176855,1 +174598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.765394626,1 +174599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.45273716,1 +174600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,8.564652572,1 +174602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.030750101,1 +174603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.31313118,1 +174601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.76924853,1 +174604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.786354798,1 +174605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.760134224,1 +174607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.696804175,1 +174606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.917269434,1 +174608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.585707471,1 +174609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,10.37285384,1 +174611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.64509846,1 +174610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.101376619,1 +174612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.382036351,1 +174613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,10.47559504,1 +174614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.365381842,1 +174615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.861522435,1 +174616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.796544477,1 +174617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.25172853,1 +174618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.392111856,1 +174621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.04669992,1 +174620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.520612052,1 +174619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.184622316,1 +174622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.815673773,1 +174623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.006478202,1 +174624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.988794415,1 +174626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.284008927,1 +174625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.190628574,1 +174628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.827331211,1 +174627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.236831667,1 +174629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.07080363,1 +174630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.006394165,1 +174631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.917134755,1 +174633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.888417907,1 +174632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.950162116,1 +174634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.826712939,1 +174635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.620327737,1 +174636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.088344597,1 +174638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.630706264,1 +174640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.550365064,1 +174639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.822924579,1 +174637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.545205183,1 +174642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.220180048,1 +174641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.614960473,1 +174643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.137679798,1 +174645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.470821729,1 +174647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,0.606059936,1 +174646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.168902517,1 +174644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.59040298,1 +174651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.427373812,1 +174649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.153967535,1 +174648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.641308147,1 +174650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,9.057455499,1 +174652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.461633622,1 +174654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.764173366,1 +174653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.540986834,1 +174656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.103246398,1 +174655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.910986854,1 +174657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.872184643,1 +174658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.064334256,1 +174660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.37253273,1 +174661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.00479106,1 +174662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.381452922,1 +174663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.440553594,1 +174659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.573911628,1 +174665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.592703909,1 +174667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.99943073,1 +174664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.463991439,1 +174666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.261372749,1 +174668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.375101722,1 +174669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.16882351,1 +174670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.434303082,1 +174671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,0.969509048,1 +174672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.558409994,1 +174673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.77462227,1 +174674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.48359525,1 +174675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.819558729,1 +174676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.969090871,1 +174678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.722653376,1 +174679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.425743868,1 +174677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.17240009,1 +174680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.380264036,1 +174681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.18420525,1 +174683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.421426676,1 +174682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.666206164,1 +174684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.465016307,1 +174685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.266211279,1 +174686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,10.09319456,1 +174687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.932813939,1 +174688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.928886211,1 +174689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.602989395,1 +174690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.993322352,1 +174692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.295322171,1 +174693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.464827966,1 +174691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.556683741,1 +174695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.236515528,1 +174694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.857104651,1 +174697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.988709234,1 +174696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.127550016,1 +174698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.056638355,1 +174699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,8.928187018,1 +174701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.701044955,1 +174702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.499686082,1 +174703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.501645501,1 +174700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.473466322,1 +174704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.941798149,1 +174705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.48105827,1 +174706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.552542949,1 +174708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.910593637,1 +174709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.89104781,1 +174707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.138009162,1 +174710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.679894926,1 +174713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.819498085,1 +174711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.113800153,1 +174712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.629593937,1 +174714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.012715447,1 +174716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.069386799,1 +174717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.770612006,1 +174718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.991438889,1 +174719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.466937535,1 +174715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.158260195,1 +174720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.855803877,1 +174721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.515389235,1 +174722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.192242134,1 +174723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.93696409,1 +174724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.895379901,1 +174726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.555352208,1 +174725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.199717308,1 +174727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.206486075,1 +174728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.211297686,1 +174729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.977799265,1 +174730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.421943,1 +174731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.077303278,1 +174732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.904965174,1 +174734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,0.637964205,1 +174733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.004952179,1 +174738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.979608902,1 +174737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,8.018317106,1 +174736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.971377356,1 +174739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,10.91090378,1 +174740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.792764873,1 +174741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.807448367,1 +174735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.56826512,1 +174745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.96852689,1 +174744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.496315937,1 +174742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.963297844,1 +174743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.10116431,1 +174747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.215902053,1 +174748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,8.591830097,1 +174749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.321539222,1 +174746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.715103535,1 +174750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.528672032,1 +174752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.63387511,1 +174751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.808130432,1 +174753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.537340037,1 +174756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.952179729,1 +174754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.330910657,1 +174755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.23486449,1 +174757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.222981829,1 +174759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.266134483,1 +174758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.874786068,1 +174760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.751931468,1 +174761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.255715821,1 +174762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.862551919,1 +174763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.660900503,1 +174764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.796016503,1 +174765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.072794621,1 +174767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.980466469,1 +174766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.891083228,1 +174768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.018303466,1 +174769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.945305,1 +174770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.952534623,1 +174771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.146444137,1 +174772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,8.46942363,1 +174774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.400157961,1 +174775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.513974147,1 +174776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.870226961,1 +174773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.65419455,1 +174777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.951437492,1 +174778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.215156261,1 +174779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.30706914,1 +174780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,8.077019855,1 +174781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.389362043,1 +174782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.4903675,1 +174783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.712325571,1 +174784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.950702332,1 +174785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.681881818,1 +174786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.614495766,1 +174787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.432378853,1 +174788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.447668833,1 +174789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.951851009,1 +174791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.899046729,1 +174790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.56324037,1 +174793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.97545005,1 +174792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,8.445387471,1 +174794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.418614515,1 +174795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.710494636,1 +174796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.629929634,1 +174798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.210639435,1 +174797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.742515893,1 +174799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.200588275,1 +174800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.364482105,1 +174801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.093713691,1 +174802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.295918561,1 +174803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.191547156,1 +174804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.681204146,1 +174805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.07364044,1 +174809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.125465457,1 +174807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.500809047,1 +174808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.301542562,1 +174806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.636960875,1 +174811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.352461664,1 +174810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.429356693,1 +174812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.21384445,1 +174814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.897553716,1 +174815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.301597657,1 +174813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.588481974,1 +174816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.46362874,1 +174818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.982575169,1 +174817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.040516067,1 +174820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.030543153,1 +174819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.909167934,1 +174822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.85001694,1 +174821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.920046461,1 +174824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.662371281,1 +174825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,8.723664642,1 +174823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.894176127,1 +174826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.646395172,1 +174828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.534196811,1 +174829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.05932349,1 +174830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.292295156,1 +174831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.676379704,1 +174827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.987447071,1 +174832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.262952675,1 +174833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,8.764826411,1 +174834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.567671461,1 +174836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,0.874879463,1 +174835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.939163958,1 +174839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.367172799,1 +174837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.291725116,1 +174838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.662945104,1 +174842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.876422307,1 +174840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.237911303,1 +174843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.300516033,1 +174844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.330696962,1 +174846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.88611858,1 +174841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.815656944,1 +174845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.870175823,1 +174847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.793248277,1 +174848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.782367515,1 +174849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.036503233,1 +174850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.350315844,1 +174853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.247079401,1 +174851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.776455921,1 +174852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.768100907,1 +174854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.96472725,1 +174855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.117480475,1 +174856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.875452282,1 +174857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.214475048,1 +174858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,9.153002434,1 +174860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.426721142,1 +174861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.390231218,1 +174862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.373628003,1 +174863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.568358091,1 +174864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.090689392,1 +174859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.09377514,1 +174868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.730010175,1 +174865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.973911686,1 +174866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.540527707,1 +174869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.874600943,1 +174867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.501411572,1 +174870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.096452766,1 +174872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.283968747,1 +174873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.447129079,1 +174871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.589270918,1 +174874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.803556418,1 +174876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.332690436,1 +174877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.600583417,1 +174878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.150518379,1 +174879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.045678005,1 +174880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.468696753,1 +174875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.394763192,1 +174881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.85692216,1 +174884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,8.148650331,1 +174882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.379746901,1 +174883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.383620174,1 +174886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,0.731965986,1 +174885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.789066712,1 +174887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.681655166,1 +174888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.092547757,1 +174889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.506732285,1 +174890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.408845545,1 +174891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.523765665,1 +174892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.519789987,1 +174894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.59399626,1 +174895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.436650776,1 +174893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.449684598,1 +174896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.737093642,1 +174897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.813141794,1 +174898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.200771973,1 +174899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.296102701,1 +174901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.688524596,1 +174902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.00826443,1 +174903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.749366052,1 +174904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.488397361,1 +174905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.426969755,1 +174906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.237756379,1 +174900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.651155244,1 +174907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.559716942,1 +174908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,8.642207572,1 +174909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.58787027,1 +174910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.751953489,1 +174913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.644164773,1 +174912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.176627069,1 +174911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.636786705,1 +174914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.038217087,1 +174916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.039030676,1 +174915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.260071601,1 +174917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.006592566,1 +174918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.381610183,1 +174919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.680952701,1 +174921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.796912441,1 +174922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.238197983,1 +174923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,10.49151233,1 +174924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,8.995293131,1 +174925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.230482758,1 +174920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.119312629,1 +174929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.949580527,1 +174926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.356170772,1 +174927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.184377393,1 +174928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.103620779,1 +174930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.155272674,1 +174931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.432072087,1 +174932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.334683032,1 +174933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.386545324,1 +174935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.436282955,1 +174934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.036186877,1 +174936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.229647007,1 +174937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.09876831,1 +174938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.198191091,1 +174940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.345917965,1 +174941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.991754409,1 +174939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.943123189,1 +174942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.262098318,1 +174943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.271578294,1 +174944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.234185161,1 +174945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.927287768,1 +174946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.033325038,1 +174947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.02795986,1 +174948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.449504229,1 +174950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.697572608,1 +174949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.605662659,1 +174951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.711145712,1 +174952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.418336038,1 +174953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.616319686,1 +174955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.154034265,1 +174956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.205313399,1 +174954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.905694136,1 +174957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.355431392,1 +174958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.786095591,1 +174959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.093149209,1 +174960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.162722737,1 +174961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.104122993,1 +174962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.769093918,1 +174963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.780143462,1 +174965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.884357951,1 +174964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.702188777,1 +174966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.127639342,1 +174967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.008703144,1 +174968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,9.739783629,1 +174969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.728659272,1 +174970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.943410668,1 +174971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.536904572,1 +174972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.617268462,1 +174973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.7482159,1 +174974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.725085912,1 +174976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.367613279,1 +174975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,9.68019947,1 +174978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.912266673,1 +174977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.941866429,1 +174980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.570195363,1 +174979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,5.113037252,1 +174981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.687173884,1 +174982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.426598608,1 +174983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.552451689,1 +174984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.248368289,1 +174985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.535493776,1 +174986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.804399444,1 +174987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.146943251,1 +174988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.197422789,1 +174989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,1.5270138,1 +174991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.711633699,1 +174990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.781825092,1 +174992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.567562616,1 +174994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.905312298,1 +174993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,3.827043912,1 +174995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,4.059427014,1 +174996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,7.313264081,1 +174997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.42056828,1 +174998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,2.324267991,1 +174999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.088084981,1 +175000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,5,1,6.872141517,1 +184002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.29024996,0.999 +184001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.933188017,0.999 +184003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,8.097172187,0.999 +184004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.068886955,0.999 +184006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.655505626,0.999 +184005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.460384223,0.999 +184007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.312573572,0.999 +184009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.42817535,0.999 +184008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.421601132,0.999 +184010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.355952927,0.999 +184011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.415562208,0.999 +184012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.774012012,0.999 +184013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,0.743316434,0.999 +184014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.307093084,0.999 +184015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.308382781,0.999 +184016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.334008268,0.999 +184018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.130743458,0.999 +184019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,9.086999608,0.999 +184017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.225930767,0.999 +184020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.572684647,0.999 +184021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.677835732,0.999 +184022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.746021663,0.999 +184023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.053430176,0.999 +184024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.98259803,0.999 +184025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.987159686,0.999 +184026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.806818151,0.999 +184028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.337560936,0.999 +184029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,0.417890332,0.999 +184027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.055312495,0.999 +184030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.213965355,0.999 +184031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.333977958,0.999 +184032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.485689424,0.999 +184033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.08429145,0.999 +184034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,0.993136084,0.999 +184035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,8.493330607,0.999 +184036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.391324464,0.999 +184038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,8.139202038,0.999 +184039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,0.822299871,0.999 +184040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,10.16546868,0.999 +184037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.169785782,0.999 +184041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.466639705,0.999 +184042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.928739126,0.999 +184043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.019035585,0.999 +184045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.64759634,0.999 +184046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.616992637,0.999 +184047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.431673414,0.999 +184044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.884944959,0.999 +184048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.839349809,0.999 +184049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.427805025,0.999 +184051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.851045065,0.999 +184050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.694423687,0.999 +184052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.157361899,0.999 +184053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,8.439130736,0.999 +184054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.589073592,0.999 +184055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.878766661,0.999 +184056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.823316213,0.999 +184057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.231377491,0.999 +184059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.488834396,0.999 +184060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.323041794,0.999 +184061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.0314795,0.999 +184058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.71830724,0.999 +184062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.046332924,0.999 +184064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.384213179,0.999 +184063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.693832605,0.999 +184065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.204366722,0.999 +184066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.759067782,0.999 +184067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.464798328,0.999 +184068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.849270732,0.999 +184069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.439382955,0.999 +184070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.224778446,0.999 +184071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.182874423,0.999 +184072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.977034836,0.999 +184073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.065847136,0.999 +184074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.796211367,0.999 +184075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.486008817,0.999 +184076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.381180572,0.999 +184078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.680351773,0.999 +184079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.6300319,0.999 +184080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.809075628,0.999 +184077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.680850936,0.999 +184081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.804060163,0.999 +184082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.17184217,0.999 +184083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.718806517,0.999 +184086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.273478515,0.999 +184085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.345150353,0.999 +184084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,8.142742179,0.999 +184087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.571051656,0.999 +184089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,9.402853061,0.999 +184088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.590218444,0.999 +184090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.733079288,0.999 +184091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,9.914949677,0.999 +184092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.960744485,0.999 +184095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.265069522,0.999 +184094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.475561876,0.999 +184093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.432333667,0.999 +184096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.190072303,0.999 +184098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.576264434,0.999 +184097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,0.803492254,0.999 +184099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.980192445,0.999 +184100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,0.467140155,0.999 +184102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.183418921,0.999 +184101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.935120098,0.999 +184103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.459402851,0.999 +184104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.734860587,0.999 +184105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.587347649,0.999 +184106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.700804527,0.999 +184108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.278089174,0.999 +184107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.506627565,0.999 +184109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.638773128,0.999 +184110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.903553569,0.999 +184112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.211768193,0.999 +184111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.359899919,0.999 +184113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.150972346,0.999 +184114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.248376838,0.999 +184115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.625004405,0.999 +184116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.752996081,0.999 +184118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.023993087,0.999 +184119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.497604253,0.999 +184120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.056217928,0.999 +184117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.430535929,0.999 +184121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.882176054,0.999 +184122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.465241204,0.999 +184123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.536585546,0.999 +184124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.748285803,0.999 +184125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.715643052,0.999 +184126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.792613953,0.999 +184128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.086795461,0.999 +184127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.102371162,0.999 +184129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,0.155962118,0.999 +184130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.240166714,0.999 +184133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,8.684770992,0.999 +184132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.409725228,0.999 +184134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.446138633,0.999 +184135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.971241318,0.999 +184136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.145416993,0.999 +184137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.928434645,0.999 +184131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,9.064455074,0.999 +184138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.677167715,0.999 +184139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.452481213,0.999 +184140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.143702684,0.999 +184141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.23263575,0.999 +184142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.531080341,0.999 +184145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.713155579,0.999 +184144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.145124651,0.999 +184143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.23518365,0.999 +184146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.248188094,0.999 +184147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.427730302,0.999 +184148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.685517451,0.999 +184149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.914807162,0.999 +184150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.501530288,0.999 +184152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,9.724458487,0.999 +184153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.483075544,0.999 +184154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.887276517,0.999 +184151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.486993108,0.999 +184155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.694186169,0.999 +184156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.453960768,0.999 +184158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.205640558,0.999 +184157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.217658709,0.999 +184159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.305708866,0.999 +184161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.299110781,0.999 +184160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.599882289,0.999 +184162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.076635192,0.999 +184163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.279371686,0.999 +184164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.394478743,0.999 +184165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.748421215,0.999 +184166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.533367372,0.999 +184167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,8.240790626,0.999 +184170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.894838519,0.999 +184169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.336923136,0.999 +184168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.106251736,0.999 +184171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.408919519,0.999 +184174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.625629235,0.999 +184172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.384565343,0.999 +184173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.650088327,0.999 +184175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.832016567,0.999 +184176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.212364792,0.999 +184177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.220430983,0.999 +184178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.603103479,0.999 +184179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.23967788,0.999 +184180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.08536874,0.999 +184181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.756649512,0.999 +184183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,10.0876427,0.999 +184182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.650154874,0.999 +184185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.897732663,0.999 +184184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.276497962,0.999 +184188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.350625488,0.999 +184186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.391470375,0.999 +184189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.291856669,0.999 +184190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.543456915,0.999 +184191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.341361894,0.999 +184187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.587252746,0.999 +184192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.056899841,0.999 +184193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.355301537,0.999 +184194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.283174907,0.999 +184196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.67045955,0.999 +184197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.150908428,0.999 +184198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.443169243,0.999 +184195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.188146498,0.999 +184200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.157872536,0.999 +184202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.661251219,0.999 +184199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.156303725,0.999 +184201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.038617678,0.999 +184203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.333911811,0.999 +184205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.858471732,0.999 +184204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.464797163,0.999 +184206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.831062626,0.999 +184207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.495139271,0.999 +184208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.164712866,0.999 +184210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.720460464,0.999 +184211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.835885786,0.999 +184212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.066399088,0.999 +184214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.052556906,0.999 +184213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.271724208,0.999 +184209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.606098792,0.999 +184215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.507947534,0.999 +184218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.080861404,0.999 +184217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.518718234,0.999 +184216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.857439194,0.999 +184219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.668224967,0.999 +184221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.935678794,0.999 +184220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,8.087715138,0.999 +184222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.879508018,0.999 +184223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.54962002,0.999 +184224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.511383577,0.999 +184226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.005984477,0.999 +184225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.668668882,0.999 +184227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.585327929,0.999 +184228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.90244739,0.999 +184229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.432253483,0.999 +184230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.431048476,0.999 +184231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.845112439,0.999 +184232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.585866255,0.999 +184233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.587403559,0.999 +184235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.216680204,0.999 +184234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.818738143,0.999 +184236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.855075252,0.999 +184237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.057787259,0.999 +184238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.470825454,0.999 +184239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.747857717,0.999 +184240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.908353322,0.999 +184241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.675633817,0.999 +184242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.624190426,0.999 +184244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.592923553,0.999 +184245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.996575219,0.999 +184243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.796396751,0.999 +184246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.538620968,0.999 +184247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.802484879,0.999 +184248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.427237494,0.999 +184249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.408151324,0.999 +184250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,0.79648119,0.999 +184251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.983243167,0.999 +184252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.157859182,0.999 +184253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.771974783,0.999 +184256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.245148427,0.999 +184254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.624363232,0.999 +184255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.372393092,0.999 +184257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.019659238,0.999 +184259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.377685778,0.999 +184260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,9.085417316,0.999 +184258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.329277642,0.999 +184261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.659956954,0.999 +184262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.14466736,0.999 +184263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.397834611,0.999 +184264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.100836317,0.999 +184266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.814350628,0.999 +184265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.415023789,0.999 +184268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,8.598730737,0.999 +184267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.48314986,0.999 +184269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.100647209,0.999 +184271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.291906139,0.999 +184272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,8.177241413,0.999 +184270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.128583658,0.999 +184273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.760570949,0.999 +184274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.922433757,0.999 +184275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.220967909,0.999 +184276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.994026221,0.999 +184277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.59957021,0.999 +184279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.164757003,0.999 +184278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.994626256,0.999 +184280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.652009039,0.999 +184281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.731638047,0.999 +184283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.241184641,0.999 +184282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.24847813,0.999 +184284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.765920699,0.999 +184285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.149265889,0.999 +184286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.474330882,0.999 +184287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.22170867,0.999 +184289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.364899044,0.999 +184288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.078498967,0.999 +184290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.938798843,0.999 +184291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.602216772,0.999 +184293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.913827924,0.999 +184294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.783120557,0.999 +184292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.469017785,0.999 +184295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.310411302,0.999 +184298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.59513732,0.999 +184297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.189127951,0.999 +184299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.468795118,0.999 +184301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.649946304,0.999 +184300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.408775219,0.999 +184296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.553270685,0.999 +184303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.570642793,0.999 +184304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.529547048,0.999 +184305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.682340695,0.999 +184302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.02085032,0.999 +184306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.278710698,0.999 +184308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.268124779,0.999 +184309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.013349345,0.999 +184307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.257505717,0.999 +184310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.172640182,0.999 +184312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.380298041,0.999 +184313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.160958523,0.999 +184314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.13200589,0.999 +184311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.797516854,0.999 +184316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.064860315,0.999 +184317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,10.21470777,0.999 +184315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.150061357,0.999 +184318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.265523341,0.999 +184320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,8.370506919,0.999 +184319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.480910738,0.999 +184322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.220754272,0.999 +184321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.033353035,0.999 +184324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.625616651,0.999 +184326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,9.309689172,0.999 +184325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.163515524,0.999 +184323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.074329956,0.999 +184327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.462036963,0.999 +184330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.634449075,0.999 +184328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.775894109,0.999 +184331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.370801928,0.999 +184329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.34776501,0.999 +184332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.039710193,0.999 +184334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.977144029,0.999 +184333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.619713687,0.999 +184336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.079634191,0.999 +184338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.273199811,0.999 +184335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.015986344,0.999 +184339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.748763937,0.999 +184340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.947530303,0.999 +184337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.365754418,0.999 +184341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.951524144,0.999 +184342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.588940258,0.999 +184344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.812893299,0.999 +184345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,8.215971008,0.999 +184343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.167482072,0.999 +184346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.612063193,0.999 +184347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.353449577,0.999 +184350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.889884293,0.999 +184349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.615412159,0.999 +184351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.655222409,0.999 +184348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.680154404,0.999 +184353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.534682261,0.999 +184355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.56297025,0.999 +184354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.21680841,0.999 +184356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.478547354,0.999 +184352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.302328642,0.999 +184358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.23846987,0.999 +184360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.890307856,0.999 +184357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.347897279,0.999 +184359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.440515817,0.999 +184361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.813321387,0.999 +184362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.04627884,0.999 +184364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.430048131,0.999 +184365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.423535995,0.999 +184366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.054917791,0.999 +184363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.234498027,0.999 +184367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.083326392,0.999 +184368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.93710916,0.999 +184369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.720821563,0.999 +184370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.469020253,0.999 +184371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.961525042,0.999 +184372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.260268977,0.999 +184373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,10.02222667,0.999 +184374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.286012193,0.999 +184376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.394809129,0.999 +184377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.37947767,0.999 +184378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.368195666,0.999 +184379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.996612431,0.999 +184375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,8.144290976,0.999 +184380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.523415495,0.999 +184383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.807671172,0.999 +184382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.994564314,0.999 +184381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.421857429,0.999 +184385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.159267278,0.999 +184384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.812101221,0.999 +184387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.680786403,0.999 +184386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.423832868,0.999 +184388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.68114907,0.999 +184389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.467460976,0.999 +184391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.463419267,0.999 +184390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.611265012,0.999 +184393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.243928998,0.999 +184394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.880378043,0.999 +184395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.288303777,0.999 +184392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.67664452,0.999 +184396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.093436913,0.999 +184399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,9.928052609,0.999 +184397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.091273915,0.999 +184398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.728166079,0.999 +184400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.763715719,0.999 +184401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.508382958,0.999 +184402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.097736596,0.999 +184404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.958744937,0.999 +184403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.952482181,0.999 +184405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.188420893,0.999 +184406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.880718173,0.999 +184407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.78934378,0.999 +184409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.459965028,0.999 +184408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.476466174,0.999 +184410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.715949349,0.999 +184411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.167794014,0.999 +184413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,14.23187537,0.999 +184412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.10594773,0.999 +184414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.359279145,0.999 +184415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.136208508,0.999 +184417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.455117113,0.999 +184416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.574309106,0.999 +184418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.446674837,0.999 +184419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.482297613,0.999 +184420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.936121925,0.999 +184421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.249576678,0.999 +184422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.080723054,0.999 +184423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.171819973,0.999 +184424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.089208071,0.999 +184425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.349927257,0.999 +184426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.831684378,0.999 +184427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.593522022,0.999 +184429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.516137433,0.999 +184428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.652352032,0.999 +184431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.257447678,0.999 +184430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.303143318,0.999 +184432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.335907598,0.999 +184433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.409037063,0.999 +184434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.891543575,0.999 +184435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.845876759,0.999 +184437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.105058733,0.999 +184438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.708038058,0.999 +184436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.148820469,0.999 +184439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.744523744,0.999 +184440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.507350301,0.999 +184441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.957740801,0.999 +184442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.671104729,0.999 +184443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.967378314,0.999 +184445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.839088792,0.999 +184444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,8.006133659,0.999 +184446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.501029784,0.999 +184448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.712656098,0.999 +184449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.545617591,0.999 +184450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.754605387,0.999 +184451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.524025148,0.999 +184452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.71067934,0.999 +184447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.312021375,0.999 +184453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,9.240769003,0.999 +184454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.547331719,0.999 +184455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.821169804,0.999 +184456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.935612732,0.999 +184457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.530583937,0.999 +184459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.393496744,0.999 +184458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.2360171,0.999 +184460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.430508143,0.999 +184462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.376837701,0.999 +184463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.837258585,0.999 +184464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.719616783,0.999 +184461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.929294388,0.999 +184465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.768510169,0.999 +184466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.784263994,0.999 +184468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.118112525,0.999 +184469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.081755309,0.999 +184470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.677894953,0.999 +184467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.913044015,0.999 +184471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,8.495467914,0.999 +184473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.271745843,0.999 +184472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.902320534,0.999 +184474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.917018228,0.999 +184476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.436789583,0.999 +184477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.836008562,0.999 +184478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.588986266,0.999 +184479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.104417351,0.999 +184480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.320268587,0.999 +184481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.004516775,0.999 +184475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.218222673,0.999 +184483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,10.96982665,0.999 +184482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.362007995,0.999 +184485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.384494912,0.999 +184487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.09520523,0.999 +184486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.429130026,0.999 +184484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.251813118,0.999 +184488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.442735102,0.999 +184490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.538693941,0.999 +184491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.177327482,0.999 +184492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.947922398,0.999 +184489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.47743462,0.999 +184493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.485802802,0.999 +184494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.58968512,0.999 +184497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.452433248,0.999 +184496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.329697298,0.999 +184498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.754886324,0.999 +184499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.970039498,0.999 +184500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.717826648,0.999 +184495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.274092348,0.999 +184503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.113491114,0.999 +184504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.201609376,0.999 +184502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.147949625,0.999 +184501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.898698323,0.999 +184505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.89624956,0.999 +184506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.814599558,0.999 +184508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.972468045,0.999 +184507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.080532714,0.999 +184511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.300940663,0.999 +184509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.261714852,0.999 +184512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,8.65826014,0.999 +184510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.154245908,0.999 +184514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.612289033,0.999 +184513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,9.073080709,0.999 +184515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.76350262,0.999 +184517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.102440772,0.999 +184516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.317944134,0.999 +184518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.99674874,0.999 +184519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.538120391,0.999 +184521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.203618127,0.999 +184520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.569879321,0.999 +184522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.322931971,0.999 +184523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.242974948,0.999 +184524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.329461692,0.999 +184525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.410085362,0.999 +184526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.098447129,0.999 +184527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.875909445,0.999 +184529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.731972896,0.999 +184530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.35559433,0.999 +184531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.201120031,0.999 +184532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.229696757,0.999 +184528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.33227256,0.999 +184533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.822003504,0.999 +184535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.541240689,0.999 +184534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.498199451,0.999 +184536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.957607707,0.999 +184537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.981900059,0.999 +184539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.0189264,0.999 +184538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.836151892,0.999 +184540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.081380283,0.999 +184541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.18557605,0.999 +184542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.640586821,0.999 +184543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.439206981,0.999 +184544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.147234498,0.999 +184545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.018463067,0.999 +184546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.182499217,0.999 +184547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.754027028,0.999 +184549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,10.76151443,0.999 +184551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.101838291,0.999 +184550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.074672224,0.999 +184548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.496621427,0.999 +184553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.074995622,0.999 +184552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.240816667,0.999 +184554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.828099043,0.999 +184555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.224953127,0.999 +184556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.013635529,0.999 +184557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.3273192,0.999 +184558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.131949358,0.999 +184559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.249233202,0.999 +184560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.030575664,0.999 +184562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.6854968,0.999 +184561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.242738116,0.999 +184564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.805503261,0.999 +184566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.475238777,0.999 +184563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.966568722,0.999 +184565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.873949192,0.999 +184567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.300272011,0.999 +184568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.694211743,0.999 +184570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.752437658,0.999 +184569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.582979227,0.999 +184571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.828062249,0.999 +184572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.92761719,0.999 +184573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.687659875,0.999 +184574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.581274646,0.999 +184575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.96418755,0.999 +184576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.909589187,0.999 +184577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.365484067,0.999 +184579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.945140939,0.999 +184580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.467094252,0.999 +184578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.251076655,0.999 +184581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,9.47050026,0.999 +184582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.240137294,0.999 +184583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.823556766,0.999 +184584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.450533161,0.999 +184585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.378778296,0.999 +184586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.011792914,0.999 +184587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.219702628,0.999 +184588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.596447073,0.999 +184589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,0.626921069,0.999 +184590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.630020966,0.999 +184591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.041399141,0.999 +184594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.112445177,0.999 +184592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.523191943,0.999 +184593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.514275016,0.999 +184595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,8.55929052,0.999 +184598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.940013239,0.999 +184596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.809075388,0.999 +184599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.332638478,0.999 +184600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.393819749,0.999 +184601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.884531342,0.999 +184597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.543702203,0.999 +184602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.843430151,0.999 +184603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.668846045,0.999 +184604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.902013205,0.999 +184606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.393898611,0.999 +184608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.659113464,0.999 +184607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.087768517,0.999 +184609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.058225052,0.999 +184605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.85528566,0.999 +184610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.109842107,0.999 +184611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.941924094,0.999 +184612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.143575236,0.999 +184613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.844027002,0.999 +184614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.38123864,0.999 +184616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.491580645,0.999 +184615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.336702034,0.999 +184617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.166109953,0.999 +184618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.616231675,0.999 +184620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.859962299,0.999 +184619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.557652019,0.999 +184622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,8.498184928,0.999 +184624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.771061673,0.999 +184623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.885394222,0.999 +184621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.044402549,0.999 +184625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.740428348,0.999 +184626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.321453016,0.999 +184627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.402784316,0.999 +184628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.010138014,0.999 +184629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.610965921,0.999 +184630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.19960885,0.999 +184631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.390062015,0.999 +184632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.310384028,0.999 +184633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.798239099,0.999 +184634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.71974032,0.999 +184635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.797517148,0.999 +184637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.912666341,0.999 +184638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.365380244,0.999 +184639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.481910173,0.999 +184640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.567615928,0.999 +184636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.075122873,0.999 +184642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.524885027,0.999 +184641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.33285667,0.999 +184644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.100540501,0.999 +184643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.71209032,0.999 +184645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.97125894,0.999 +184646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.717627182,0.999 +184648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.397632412,0.999 +184647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.518623774,0.999 +184649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.290070819,0.999 +184650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.121325661,0.999 +184651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.2557937,0.999 +184652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.875340813,0.999 +184653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.095825339,0.999 +184655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.370609536,0.999 +184654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.69595061,0.999 +184657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.249157342,0.999 +184659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.976999098,0.999 +184658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.2237418,0.999 +184656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.728905533,0.999 +184660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.485672386,0.999 +184662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.267143378,0.999 +184661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.249874485,0.999 +184663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.611452696,0.999 +184664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.741871376,0.999 +184665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.097826986,0.999 +184666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.24858748,0.999 +184668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.000505599,0.999 +184669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.340443956,0.999 +184670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.667388889,0.999 +184667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.156147666,0.999 +184671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.361563855,0.999 +184672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,9.486242677,0.999 +184674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.218507047,0.999 +184673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.565888102,0.999 +184675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.158348405,0.999 +184676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.346212239,0.999 +184678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.639153424,0.999 +184679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.157625186,0.999 +184680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.324569178,0.999 +184681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.514684619,0.999 +184682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.973370556,0.999 +184683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.112412178,0.999 +184684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.59351255,0.999 +184677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.890532769,0.999 +184685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.991920527,0.999 +184686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.255566521,0.999 +184688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.783596219,0.999 +184689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.029944544,0.999 +184690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.062284025,0.999 +184687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.680830305,0.999 +184691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.346686857,0.999 +184692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.655244044,0.999 +184693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.801584064,0.999 +184694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.602909941,0.999 +184696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.785106376,0.999 +184697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.58909995,0.999 +184698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.142312755,0.999 +184699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.122726134,0.999 +184695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.512021399,0.999 +184701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.833906924,0.999 +184700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.403566218,0.999 +184702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.458011601,0.999 +184704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.459108602,0.999 +184703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.294800515,0.999 +184705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.295000678,0.999 +184706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.260102098,0.999 +184707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.20128727,0.999 +184709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,8.50011358,0.999 +184708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.38801817,0.999 +184710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.101197783,0.999 +184711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.940187506,0.999 +184712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,8.296094522,0.999 +184713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.223291679,0.999 +184716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.407206291,0.999 +184717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.323106352,0.999 +184715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.520608458,0.999 +184714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.058023556,0.999 +184718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.400875248,0.999 +184720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.88319978,0.999 +184721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.000871679,0.999 +184719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.215354667,0.999 +184722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,9.815508177,0.999 +184723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.366668698,0.999 +184725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,8.37357592,0.999 +184726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.394088275,0.999 +184724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.828507935,0.999 +184727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.484058071,0.999 +184728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.056227714,0.999 +184729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.581025993,0.999 +184731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.327756897,0.999 +184732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.239890745,0.999 +184730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.079883346,0.999 +184733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.69613529,0.999 +184734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.736686395,0.999 +184736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.308403493,0.999 +184737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.768146438,0.999 +184735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.659193631,0.999 +184738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.185100491,0.999 +184740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.931554106,0.999 +184741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.140894721,0.999 +184742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.070313251,0.999 +184739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.0054159,0.999 +184744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.360749554,0.999 +184743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.743629764,0.999 +184746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.190686536,0.999 +184747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.619244945,0.999 +184745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,10.35762694,0.999 +184748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.475436484,0.999 +184749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.210788578,0.999 +184751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.545216216,0.999 +184752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,8.308460817,0.999 +184750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.05464955,0.999 +184754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.453669118,0.999 +184755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.423234808,0.999 +184753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.63494053,0.999 +184756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.055386302,0.999 +184757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.003281009,0.999 +184758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,8.583212187,0.999 +184759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.033409551,0.999 +184760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.454060377,0.999 +184764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.960398332,0.999 +184761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.199693622,0.999 +184763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.81062242,0.999 +184762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.902085905,0.999 +184766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.409494783,0.999 +184765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.830326721,0.999 +184768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.56100973,0.999 +184769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.466681815,0.999 +184770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.09159745,0.999 +184767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.03900445,0.999 +184771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.645539261,0.999 +184774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.04456288,0.999 +184772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.603351134,0.999 +184773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.245508904,0.999 +184775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.762701777,0.999 +184776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.195306453,0.999 +184778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.35312976,0.999 +184777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.68556162,0.999 +184779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.102391624,0.999 +184781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.037046549,0.999 +184780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.672856821,0.999 +184782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.322639271,0.999 +184783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.669134483,0.999 +184785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.02489759,0.999 +184786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.818693116,0.999 +184784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.352739648,0.999 +184787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.897808887,0.999 +184788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.285204273,0.999 +184789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.088829382,0.999 +184790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.699100571,0.999 +184791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.153540899,0.999 +184792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.432717847,0.999 +184794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.375538211,0.999 +184793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.546727977,0.999 +184798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.981364453,0.999 +184796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.596150772,0.999 +184795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.243035649,0.999 +184799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.288340369,0.999 +184797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.822640539,0.999 +184801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,12.3643851,0.999 +184800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.653120986,0.999 +184802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.75854772,0.999 +184804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.886163195,0.999 +184805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.349198729,0.999 +184803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,10.25906083,0.999 +184807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.8934913,0.999 +184806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.886883398,0.999 +184808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.977310373,0.999 +184809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.476349515,0.999 +184810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.997667614,0.999 +184811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.852020219,0.999 +184812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.13850712,0.999 +184813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.864630586,0.999 +184815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.559121272,0.999 +184814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.215428822,0.999 +184816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.692866399,0.999 +184819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.754920272,0.999 +184818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.052806902,0.999 +184817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.697184894,0.999 +184820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.268738544,0.999 +184821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.024410733,0.999 +184822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.611484734,0.999 +184824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.732320237,0.999 +184823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.832193034,0.999 +184826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.111353448,0.999 +184825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.715468011,0.999 +184828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.926332866,0.999 +184827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.853556806,0.999 +184829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.839828329,0.999 +184830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.276775355,0.999 +184832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.525732423,0.999 +184831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.2331755,0.999 +184833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.054455742,0.999 +184834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.997786436,0.999 +184835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.281542957,0.999 +184837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.945213682,0.999 +184838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.967629974,0.999 +184839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.818869986,0.999 +184836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.775833695,0.999 +184840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,8.598531161,0.999 +184841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.649947754,0.999 +184843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.986032407,0.999 +184842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.635745466,0.999 +184844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.817012661,0.999 +184845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.309220672,0.999 +184847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.036042598,0.999 +184846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.018088958,0.999 +184848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.61622385,0.999 +184850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.09203035,0.999 +184849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.734159625,0.999 +184852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.908821856,0.999 +184851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,0.912037266,0.999 +184853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.377846484,0.999 +184854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.248619625,0.999 +184858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.798180619,0.999 +184855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.795396469,0.999 +184857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.138466685,0.999 +184856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.892380195,0.999 +184859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.740596671,0.999 +184860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.349223269,0.999 +184861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.040747626,0.999 +184862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.776789483,0.999 +184863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,8.111587015,0.999 +184864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.442301029,0.999 +184865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.835695613,0.999 +184867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.521108037,0.999 +184868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.269866582,0.999 +184866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.918040289,0.999 +184869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.555282695,0.999 +184870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.366039099,0.999 +184871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.337885576,0.999 +184873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.841645577,0.999 +184872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.977706843,0.999 +184874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.391053603,0.999 +184875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.845147444,0.999 +184876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.425154502,0.999 +184877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.802010018,0.999 +184879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.447497614,0.999 +184878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.152554795,0.999 +184880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.511067144,0.999 +184883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.739887407,0.999 +184882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.228540626,0.999 +184881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.921273945,0.999 +184884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.090552249,0.999 +184887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.63660476,0.999 +184885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.562111307,0.999 +184886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.065986079,0.999 +184888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.984139077,0.999 +184889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.669874944,0.999 +184890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.480054332,0.999 +184891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.000243818,0.999 +184892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.837897806,0.999 +184894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.813402565,0.999 +184893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.691113085,0.999 +184895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.329335575,0.999 +184896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.528317535,0.999 +184897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,10.3716684,0.999 +184899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.219686352,0.999 +184900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.10800567,0.999 +184898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,11.22697683,0.999 +184901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.653304954,0.999 +184904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.762057787,0.999 +184903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.413155625,0.999 +184902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.744610004,0.999 +184905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.110207423,0.999 +184907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.587544037,0.999 +184909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.344822156,0.999 +184908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.659928001,0.999 +184911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.657301073,0.999 +184910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.225613911,0.999 +184912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.592011789,0.999 +184906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.67932548,0.999 +184913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.786261951,0.999 +184914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.949492261,0.999 +184915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.751280959,0.999 +184919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.322489457,0.999 +184916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.907148012,0.999 +184917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.337981612,0.999 +184918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.041129303,0.999 +184920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.327743447,0.999 +184921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.33808027,0.999 +184923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.039524599,0.999 +184922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.253614847,0.999 +184924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.39465627,0.999 +184925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.092698054,0.999 +184926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.247925356,0.999 +184928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.259846942,0.999 +184930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.756728794,0.999 +184929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.121242553,0.999 +184927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.353491891,0.999 +184931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.583335817,0.999 +184933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.154796338,0.999 +184932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.684004344,0.999 +184934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.78946227,0.999 +184936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.840046022,0.999 +184935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.900714517,0.999 +184937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.596280991,0.999 +184938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.571810327,0.999 +184939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.717815528,0.999 +184940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.516476599,0.999 +184941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.407915337,0.999 +184943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.132627228,0.999 +184942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.860295467,0.999 +184944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.946491003,0.999 +184945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.296726461,0.999 +184946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.57434769,0.999 +184947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.697499606,0.999 +184948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.451588058,0.999 +184949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.211748434,0.999 +184950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.330252013,0.999 +184951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.515383411,0.999 +184952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.275793748,0.999 +184953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.629639162,0.999 +184954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.46972328,0.999 +184955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.04684062,0.999 +184956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,10.2225343,0.999 +184957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,-0.296221126,0.999 +184958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.227501361,0.999 +184960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.256070646,0.999 +184959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.737366415,0.999 +184961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.628911273,0.999 +184962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.768252021,0.999 +184963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.957287647,0.999 +184964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,0.9705719,0.999 +184965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.791012404,0.999 +184966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.468955208,0.999 +184967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.004727752,0.999 +184970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.301229255,0.999 +184968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.852502099,0.999 +184969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.732832536,0.999 +184971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.400306192,0.999 +184972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.430738846,0.999 +184973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.381571951,0.999 +184974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.800950554,0.999 +184975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.750389174,0.999 +184976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.49058911,0.999 +184978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.775329885,0.999 +184977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.422374894,0.999 +184979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.754642511,0.999 +184981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.181749652,0.999 +184982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.757058604,0.999 +184980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.412707207,0.999 +184983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.404222351,0.999 +184984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.489793325,0.999 +184986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.036400228,0.999 +184985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.377230884,0.999 +184987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,6.311628322,0.999 +184988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,8.928561958,0.999 +184989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.192608918,0.999 +184991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,2.14214603,0.999 +184990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.342720756,0.999 +184992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,3.637804862,0.999 +184994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.71426484,0.999 +184993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.223758592,0.999 +184995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,5.137067261,0.999 +184996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.239683996,0.999 +184997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,7.658930331,0.999 +184998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.075492746,0.999 +184999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,1.641062064,0.999 +185000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,5,1,4.36176204,0.999 +194001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.404810456,0.999 +194003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.533915187,0.999 +194004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.06729284,0.999 +194002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.685999849,0.999 +194006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.439181461,0.999 +194005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.368761622,0.999 +194008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.779803123,0.999 +194007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.129285837,0.999 +194010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.237843821,0.999 +194009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.090077932,0.999 +194012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.589657991,0.999 +194011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.109881735,0.999 +194013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.489971912,0.999 +194014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.119088124,0.999 +194015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.577191085,0.999 +194017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.958048001,0.999 +194018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.891369503,0.999 +194019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,8.035494336,0.999 +194016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.140540831,0.999 +194022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,8.403547751,0.999 +194020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.282100884,0.999 +194023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.137619408,0.999 +194021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.745643976,0.999 +194024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.47859508,0.999 +194026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.060325789,0.999 +194025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.519305526,0.999 +194027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.188432523,0.999 +194029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.711365621,0.999 +194028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.493207639,0.999 +194030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.959442727,0.999 +194031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.601562388,0.999 +194033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.016401786,0.999 +194034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.28780429,0.999 +194032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,9.363055026,0.999 +194035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.35993786,0.999 +194036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.138991179,0.999 +194037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.469817756,0.999 +194038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,8.51098899,0.999 +194040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,0.714288273,0.999 +194041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.047775018,0.999 +194042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.01442916,0.999 +194043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,0.790600139,0.999 +194039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.556660624,0.999 +194044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.991222524,0.999 +194045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.901963026,0.999 +194046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.911472793,0.999 +194048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.468236891,0.999 +194047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,8.842684258,0.999 +194050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.626323403,0.999 +194051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.922821576,0.999 +194049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.756966164,0.999 +194052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.981029985,0.999 +194053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.336951878,0.999 +194055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.458212331,0.999 +194056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.310785059,0.999 +194054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.540227776,0.999 +194057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.384633755,0.999 +194058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.178844276,0.999 +194060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.698172045,0.999 +194061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.808147311,0.999 +194062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.86382527,0.999 +194063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,10.06271184,0.999 +194059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.339271951,0.999 +194064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.426214376,0.999 +194065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.021887797,0.999 +194066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.226397786,0.999 +194067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.938118895,0.999 +194068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.489273249,0.999 +194069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.881305096,0.999 +194070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.2596927,0.999 +194071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.832355923,0.999 +194072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.553861985,0.999 +194073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.493363448,0.999 +194074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.060758007,0.999 +194075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.831514148,0.999 +194076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.18435593,0.999 +194077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.364732696,0.999 +194078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.524655018,0.999 +194080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.214219666,0.999 +194081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.78012306,0.999 +194082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.122908525,0.999 +194079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.733028701,0.999 +194083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.616309346,0.999 +194085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.025817797,0.999 +194086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.543863241,0.999 +194084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.161596047,0.999 +194087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.512493984,0.999 +194088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.607606211,0.999 +194089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.762073382,0.999 +194090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.00469576,0.999 +194091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.508132134,0.999 +194092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.587097192,0.999 +194093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.460719249,0.999 +194094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.442919186,0.999 +194095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.77130614,0.999 +194096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.165286268,0.999 +194098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.001105857,0.999 +194100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.10693625,0.999 +194099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.983211495,0.999 +194097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.90489661,0.999 +194101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.640408439,0.999 +194102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.361447363,0.999 +194103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.873084611,0.999 +194105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.25737705,0.999 +194104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.686077604,0.999 +194106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.895278794,0.999 +194107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.575477978,0.999 +194108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.219303818,0.999 +194109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.77711341,0.999 +194111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.985668381,0.999 +194110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,8.162380832,0.999 +194112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.36028778,0.999 +194114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.885492998,0.999 +194113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.395865975,0.999 +194116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.743428671,0.999 +194115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.981106,0.999 +194117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.607792486,0.999 +194119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.140526956,0.999 +194118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.094573743,0.999 +194120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.003470551,0.999 +194121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.069063886,0.999 +194123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.471266602,0.999 +194122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.949333026,0.999 +194124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.249411697,0.999 +194125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.668506213,0.999 +194126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.204555711,0.999 +194127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.222769296,0.999 +194128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.795873876,0.999 +194129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.295546426,0.999 +194131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.475740157,0.999 +194132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.512784057,0.999 +194133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.157306427,0.999 +194130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.648437809,0.999 +194134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,9.704438438,0.999 +194135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.054306526,0.999 +194136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.998093859,0.999 +194138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.242234342,0.999 +194139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.547923011,0.999 +194140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.921010989,0.999 +194137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.185171722,0.999 +194142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,9.073614164,0.999 +194141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.069210427,0.999 +194143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.681949495,0.999 +194144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,8.305227502,0.999 +194145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.792210876,0.999 +194147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.439705803,0.999 +194146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.737775825,0.999 +194148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,8.535187563,0.999 +194149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.797101914,0.999 +194150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.944006968,0.999 +194151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.720101299,0.999 +194153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.403713683,0.999 +194154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.707053419,0.999 +194155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.481299187,0.999 +194156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.712845989,0.999 +194157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.12803085,0.999 +194152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.645566177,0.999 +194158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.437666315,0.999 +194160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.019172948,0.999 +194159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.638308112,0.999 +194161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.937790784,0.999 +194162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.914410254,0.999 +194163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.737699698,0.999 +194164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.704761875,0.999 +194165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.879805789,0.999 +194166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.816753489,0.999 +194167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.71400407,0.999 +194168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.895362727,0.999 +194170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.44409295,0.999 +194169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.280598866,0.999 +194171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.407627289,0.999 +194172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.057095146,0.999 +194173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.228294991,0.999 +194175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.236659221,0.999 +194176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.287659178,0.999 +194174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.597321284,0.999 +194177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.718197224,0.999 +194178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.514481033,0.999 +194179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.22968492,0.999 +194181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.954659852,0.999 +194180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.248811026,0.999 +194182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.166970861,0.999 +194183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.210598784,0.999 +194184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.418503174,0.999 +194186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.016150217,0.999 +194185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.114897882,0.999 +194187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.10364199,0.999 +194188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.511026913,0.999 +194189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.653448553,0.999 +194190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.008807491,0.999 +194191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.228694127,0.999 +194192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.170723463,0.999 +194193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.434447898,0.999 +194194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.919214072,0.999 +194195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,0.878713188,0.999 +194196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.125928171,0.999 +194197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,0.960077683,0.999 +194199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.73173952,0.999 +194198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.621926086,0.999 +194200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.938707336,0.999 +194201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.019816646,0.999 +194202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,11.84181367,0.999 +194203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,9.121297275,0.999 +194204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.935605567,0.999 +194205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,8.461505827,0.999 +194206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.435901488,0.999 +194207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.308714798,0.999 +194208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.031893208,0.999 +194209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.462073386,0.999 +194210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.25272544,0.999 +194211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.881505542,0.999 +194212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.399407881,0.999 +194213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.097216996,0.999 +194214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.880966841,0.999 +194215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.96682478,0.999 +194216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.034701376,0.999 +194218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.700762751,0.999 +194217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.233881928,0.999 +194219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.231882822,0.999 +194220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.083800961,0.999 +194222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.339253701,0.999 +194221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,8.160443305,0.999 +194225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.069886676,0.999 +194224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.146983184,0.999 +194226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.589763405,0.999 +194227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.776523642,0.999 +194228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.003469025,0.999 +194223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.226744122,0.999 +194229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.872494646,0.999 +194230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.776023579,0.999 +194231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.847519561,0.999 +194233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.269367591,0.999 +194234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.966075608,0.999 +194235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.883355404,0.999 +194232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.224009874,0.999 +194236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.064598017,0.999 +194238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.600314139,0.999 +194237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.308223876,0.999 +194239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.412842336,0.999 +194240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.582518194,0.999 +194241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,8.179672703,0.999 +194242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.877405786,0.999 +194244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.609371379,0.999 +194243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.234050417,0.999 +194245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.968301587,0.999 +194246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.674348146,0.999 +194247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.434285695,0.999 +194249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.607451177,0.999 +194250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.800244419,0.999 +194251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.384820824,0.999 +194252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.581826726,0.999 +194248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.221898296,0.999 +194253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.813738455,0.999 +194254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.701909291,0.999 +194257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.10405541,0.999 +194255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.796989464,0.999 +194256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.710418337,0.999 +194258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.764148946,0.999 +194259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.195775048,0.999 +194261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.752304818,0.999 +194260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.643633437,0.999 +194262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.058229964,0.999 +194263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.984844014,0.999 +194264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.136020784,0.999 +194265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.001794603,0.999 +194266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.985626566,0.999 +194267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.288163951,0.999 +194269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.012603425,0.999 +194270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.789953741,0.999 +194271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.51560807,0.999 +194268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.437429433,0.999 +194273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,9.264788474,0.999 +194274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.156079793,0.999 +194275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.860779407,0.999 +194276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.208380628,0.999 +194272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.358343463,0.999 +194277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.734204965,0.999 +194278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.06054584,0.999 +194279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.508381296,0.999 +194280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.18961299,0.999 +194281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.974368535,0.999 +194282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.067347144,0.999 +194284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.698987419,0.999 +194283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.669427656,0.999 +194285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.118030727,0.999 +194287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.602276196,0.999 +194286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.036047778,0.999 +194288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.606728327,0.999 +194289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.659453,0.999 +194291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.254121158,0.999 +194292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.086200868,0.999 +194293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.95229317,0.999 +194290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.78424187,0.999 +194295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.192079559,0.999 +194294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.827765233,0.999 +194296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.286071307,0.999 +194299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.126656771,0.999 +194297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.659052345,0.999 +194298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.741877368,0.999 +194300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.612842711,0.999 +194302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.902992719,0.999 +194303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.150016345,0.999 +194301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.258625518,0.999 +194304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.260902378,0.999 +194305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.089639254,0.999 +194306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.77577573,0.999 +194307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.82420718,0.999 +194308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.83892276,0.999 +194309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.44811245,0.999 +194310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.224636252,0.999 +194311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.685774469,0.999 +194312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.104693559,0.999 +194314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.62569281,0.999 +194315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.050905271,0.999 +194316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.704828252,0.999 +194313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.72773443,0.999 +194317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.870188016,0.999 +194318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.01358761,0.999 +194319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.144885463,0.999 +194320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.933922287,0.999 +194321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.602218153,0.999 +194323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.362790581,0.999 +194322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.205152487,0.999 +194324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.339595536,0.999 +194325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.372711047,0.999 +194327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.460890243,0.999 +194326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.89838368,0.999 +194328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.098410356,0.999 +194330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.361488532,0.999 +194329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.196940708,0.999 +194331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.120496517,0.999 +194333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.367648095,0.999 +194332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.091335726,0.999 +194334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.281503425,0.999 +194335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.130394477,0.999 +194336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.455005829,0.999 +194338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.923653837,0.999 +194337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.69747646,0.999 +194339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.797800118,0.999 +194340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.786418334,0.999 +194342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.274502618,0.999 +194341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.940830926,0.999 +194343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.85673821,0.999 +194344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.669256371,0.999 +194345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.68675598,0.999 +194346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,8.732189323,0.999 +194347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.869873362,0.999 +194348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.956225821,0.999 +194349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.623858512,0.999 +194351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.897956664,0.999 +194352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.977683047,0.999 +194353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.697392027,0.999 +194354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.404604834,0.999 +194356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.404128268,0.999 +194355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.387460762,0.999 +194350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.615163466,0.999 +194357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.270466334,0.999 +194359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.790396185,0.999 +194358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,9.632235663,0.999 +194360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.696867666,0.999 +194361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.584836567,0.999 +194362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.9140395,0.999 +194364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.267714986,0.999 +194363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.032849905,0.999 +194365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.199708046,0.999 +194366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.273254843,0.999 +194369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,9.857318222,0.999 +194368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.217894569,0.999 +194370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.062595206,0.999 +194371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,8.342777671,0.999 +194372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.108858055,0.999 +194373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.828236501,0.999 +194367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.716321002,0.999 +194375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.012477356,0.999 +194374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.973189348,0.999 +194377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.149159992,0.999 +194376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.584113194,0.999 +194378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.497866418,0.999 +194379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,0.751551263,0.999 +194380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.84294041,0.999 +194381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,9.272064909,0.999 +194383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.876108064,0.999 +194382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.627336062,0.999 +194384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.181430222,0.999 +194386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.770956847,0.999 +194385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.951247591,0.999 +194387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.595970522,0.999 +194391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.979480592,0.999 +194389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.912087975,0.999 +194390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.343932637,0.999 +194393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.001997657,0.999 +194392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.323971316,0.999 +194394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.685143551,0.999 +194388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.587864801,0.999 +194395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.164215536,0.999 +194396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.170832901,0.999 +194398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.746728966,0.999 +194397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.007447816,0.999 +194399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.754862711,0.999 +194400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.927101584,0.999 +194401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.545412192,0.999 +194402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.361611639,0.999 +194404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,11.52424033,0.999 +194403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.158436287,0.999 +194406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.701104196,0.999 +194407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.096613484,0.999 +194405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.476398044,0.999 +194408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.383308196,0.999 +194409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.926195393,0.999 +194410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.776226373,0.999 +194412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.699410343,0.999 +194411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.325480153,0.999 +194413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.81537808,0.999 +194414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.122555021,0.999 +194416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.929497913,0.999 +194415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.829725808,0.999 +194417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.546121025,0.999 +194418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.27768261,0.999 +194420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.800181438,0.999 +194421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.364752828,0.999 +194422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.726177319,0.999 +194419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.606194368,0.999 +194423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.079604357,0.999 +194424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.431948179,0.999 +194425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.231382699,0.999 +194426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.890172758,0.999 +194427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.555068532,0.999 +194428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.7213137,0.999 +194429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.341816644,0.999 +194430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,0.737882797,0.999 +194431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.191806869,0.999 +194432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,8.182848294,0.999 +194433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.354865222,0.999 +194434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.986120305,0.999 +194435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.312246696,0.999 +194436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.14119923,0.999 +194437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.435819502,0.999 +194439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.835680519,0.999 +194438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.453777237,0.999 +194440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.095792271,0.999 +194441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.829924269,0.999 +194442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,11.11724208,0.999 +194443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.83041281,0.999 +194444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.351889632,0.999 +194445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.527813854,0.999 +194446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.139032445,0.999 +194447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.901955364,0.999 +194448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.82146875,0.999 +194449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.393147254,0.999 +194450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.406795381,0.999 +194452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.081334739,0.999 +194453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.997623632,0.999 +194454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.707388727,0.999 +194451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.185829147,0.999 +194455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.440364176,0.999 +194456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.624538883,0.999 +194457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.759622346,0.999 +194458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.069927683,0.999 +194459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.971146114,0.999 +194460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.282051176,0.999 +194462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.408142869,0.999 +194461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.656154798,0.999 +194463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.526211865,0.999 +194464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.213112788,0.999 +194465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.75440074,0.999 +194466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.678707907,0.999 +194467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.491638129,0.999 +194470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.079066653,0.999 +194471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.600289147,0.999 +194472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.534966744,0.999 +194473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.208960548,0.999 +194468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.620910866,0.999 +194469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.406698401,0.999 +194474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.750431957,0.999 +194475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.041282512,0.999 +194477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.672553484,0.999 +194476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.66663541,0.999 +194478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.49900715,0.999 +194479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.60005943,0.999 +194480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.804726652,0.999 +194482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.565643198,0.999 +194481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.359314589,0.999 +194484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.234763829,0.999 +194485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.110038691,0.999 +194483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.885055486,0.999 +194487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.97055252,0.999 +194486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.196973046,0.999 +194489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.279652338,0.999 +194488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.877090297,0.999 +194490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.446585205,0.999 +194491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.535254518,0.999 +194492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.86115737,0.999 +194494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.234607607,0.999 +194495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.550477128,0.999 +194496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.946838744,0.999 +194497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.774536218,0.999 +194493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.54269815,0.999 +194499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.692502446,0.999 +194501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.15174465,0.999 +194498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.023845656,0.999 +194500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.442636104,0.999 +194503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.164697479,0.999 +194504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.01790636,0.999 +194505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.645952219,0.999 +194506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.17584717,0.999 +194502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.33477783,0.999 +194507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.071668664,0.999 +194508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.258607928,0.999 +194511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.284338548,0.999 +194512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.50208214,0.999 +194510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.58246254,0.999 +194509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.22567758,0.999 +194514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.418759029,0.999 +194515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.011760986,0.999 +194513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.426829472,0.999 +194516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.75751587,0.999 +194517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.704128199,0.999 +194518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.079963864,0.999 +194519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.125874985,0.999 +194520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.345858482,0.999 +194521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.314301126,0.999 +194523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.093696086,0.999 +194524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.332630371,0.999 +194525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.338111324,0.999 +194526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.144439017,0.999 +194522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.454489973,0.999 +194527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.866337521,0.999 +194530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.188306294,0.999 +194528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,9.40797177,0.999 +194529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.928878232,0.999 +194531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.090350376,0.999 +194533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.83526932,0.999 +194532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.590160736,0.999 +194534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.280262881,0.999 +194535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.591393016,0.999 +194536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.281987518,0.999 +194538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.886384998,0.999 +194539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.568300137,0.999 +194540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,8.275874651,0.999 +194537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.128316513,0.999 +194541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.300208873,0.999 +194542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.074960047,0.999 +194544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.837532935,0.999 +194543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.333988602,0.999 +194545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.802460368,0.999 +194546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.536080451,0.999 +194548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.420172897,0.999 +194547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.266891017,0.999 +194549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.666503295,0.999 +194550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.906203833,0.999 +194551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.192383095,0.999 +194552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.068983079,0.999 +194553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.675626081,0.999 +194555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.624127667,0.999 +194554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,9.227157503,0.999 +194558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.824252718,0.999 +194557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.058075526,0.999 +194559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.892186096,0.999 +194556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.332125117,0.999 +194561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.112232805,0.999 +194560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.670983892,0.999 +194562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.839265698,0.999 +194563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.167834187,0.999 +194564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.479352988,0.999 +194566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.595782198,0.999 +194565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.52082481,0.999 +194567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.96609241,0.999 +194568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.826281777,0.999 +194569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.484661327,0.999 +194570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.956475031,0.999 +194571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.573030426,0.999 +194572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.927655469,0.999 +194573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.297248593,0.999 +194574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.706972373,0.999 +194576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.942381147,0.999 +194575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.294675638,0.999 +194578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.743182377,0.999 +194577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.398814257,0.999 +194579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.965612972,0.999 +194581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.478540997,0.999 +194580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.199596524,0.999 +194582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.03700508,0.999 +194583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.596533315,0.999 +194584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.705885808,0.999 +194585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.061833449,0.999 +194586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.213928528,0.999 +194588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.198550486,0.999 +194587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.518170596,0.999 +194590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,9.839754902,0.999 +194589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.853496458,0.999 +194592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.297350059,0.999 +194591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.531704853,0.999 +194593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.339884202,0.999 +194594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.520446577,0.999 +194596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.46839995,0.999 +194595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.060884887,0.999 +194597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.649252068,0.999 +194598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.735339031,0.999 +194599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.615969576,0.999 +194600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.432553343,0.999 +194601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.27704301,0.999 +194603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.21567764,0.999 +194604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.772934184,0.999 +194602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.905339144,0.999 +194605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,8.249903729,0.999 +194607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.641594498,0.999 +194606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.612433405,0.999 +194609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.07648717,0.999 +194608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.52120405,0.999 +194610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.191005632,0.999 +194611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.606901875,0.999 +194612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.252248611,0.999 +194613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.763496947,0.999 +194614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.293634149,0.999 +194615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.699242588,0.999 +194616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.743071682,0.999 +194617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.892262202,0.999 +194620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.269503718,0.999 +194618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.754766406,0.999 +194619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.935118049,0.999 +194621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.745680055,0.999 +194622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.262297871,0.999 +194624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.467109017,0.999 +194623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.764815248,0.999 +194625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.902599619,0.999 +194626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.685675105,0.999 +194627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.563561059,0.999 +194628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.47784523,0.999 +194629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.114002434,0.999 +194631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.977022586,0.999 +194630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.310462719,0.999 +194634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.618687496,0.999 +194635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.585443643,0.999 +194633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.243519388,0.999 +194632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.520393215,0.999 +194636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.678443777,0.999 +194639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,10.66737938,0.999 +194638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.225669257,0.999 +194637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.99286868,0.999 +194640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.460785228,0.999 +194642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.704946075,0.999 +194643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.10923394,0.999 +194644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.075815062,0.999 +194646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.885441559,0.999 +194641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.800960338,0.999 +194645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.686017365,0.999 +194647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.986614609,0.999 +194648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.590885914,0.999 +194650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.020604429,0.999 +194649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.467462261,0.999 +194651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.868718338,0.999 +194652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.429831306,0.999 +194654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.833157944,0.999 +194655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.369686753,0.999 +194653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.369778457,0.999 +194657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.57473494,0.999 +194656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.482901582,0.999 +194658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.002031555,0.999 +194659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.355366759,0.999 +194661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.233606739,0.999 +194662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.552763597,0.999 +194664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.715354148,0.999 +194663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.002688715,0.999 +194660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,0.933664969,0.999 +194667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.726938616,0.999 +194668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.13496627,0.999 +194666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,9.607922948,0.999 +194665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.737364511,0.999 +194670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.254239652,0.999 +194669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.443195855,0.999 +194671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.141022393,0.999 +194672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.191992635,0.999 +194673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.421945504,0.999 +194676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.279597915,0.999 +194675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.348289507,0.999 +194674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.596528688,0.999 +194677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.682796251,0.999 +194679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.749687307,0.999 +194678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.68903461,0.999 +194680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.03147229,0.999 +194683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.273071733,0.999 +194682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.891004948,0.999 +194684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.995742871,0.999 +194681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.000398276,0.999 +194685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.435346846,0.999 +194686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.924999241,0.999 +194688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.084925238,0.999 +194689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.639333638,0.999 +194690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.09159295,0.999 +194687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.914490094,0.999 +194691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.951062493,0.999 +194692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.700332516,0.999 +194693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,0.607503723,0.999 +194694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.82070179,0.999 +194695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.726371679,0.999 +194696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.742230296,0.999 +194698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.12255218,0.999 +194697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.812245169,0.999 +194699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.345613108,0.999 +194700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.765740253,0.999 +194702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.340234165,0.999 +194703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.078050286,0.999 +194704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.137479561,0.999 +194705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.119019183,0.999 +194707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.344050218,0.999 +194706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.616341863,0.999 +194701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.051586256,0.999 +194708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.551215487,0.999 +194709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.226846483,0.999 +194710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,8.345603156,0.999 +194712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.693139375,0.999 +194711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.081105688,0.999 +194714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.732728862,0.999 +194713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.849491828,0.999 +194715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.995306863,0.999 +194717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.79023179,0.999 +194716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.784368169,0.999 +194718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.720450456,0.999 +194719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.510970057,0.999 +194720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,0.972733479,0.999 +194721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.609525094,0.999 +194722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.188262259,0.999 +194723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,0.89038548,0.999 +194724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.394437851,0.999 +194726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.535733163,0.999 +194727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,8.748079736,0.999 +194725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.385946559,0.999 +194728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.363645971,0.999 +194729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.28053927,0.999 +194730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.614218445,0.999 +194731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,12.53979109,0.999 +194732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.656611203,0.999 +194733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.269463638,0.999 +194734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.71761905,0.999 +194735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,9.712612856,0.999 +194736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.235701386,0.999 +194737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.514675187,0.999 +194738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.114324844,0.999 +194739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.455111828,0.999 +194740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.973932609,0.999 +194741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.985684693,0.999 +194742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.676685271,0.999 +194745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.077756936,0.999 +194744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.779066637,0.999 +194746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,8.493049934,0.999 +194748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.666013539,0.999 +194743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.016283648,0.999 +194747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.603260496,0.999 +194749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.729572143,0.999 +194752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.798121379,0.999 +194751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.46522139,0.999 +194750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.252468879,0.999 +194753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.15878662,0.999 +194754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.252102584,0.999 +194756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.222072327,0.999 +194755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,8.292414042,0.999 +194757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.487781023,0.999 +194758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.471938085,0.999 +194759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.666414364,0.999 +194760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.262823628,0.999 +194761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.65507022,0.999 +194762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.600077084,0.999 +194763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.338887749,0.999 +194764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.704162951,0.999 +194765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.192720288,0.999 +194766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.404835599,0.999 +194767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.198559639,0.999 +194768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.793256965,0.999 +194771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.805435389,0.999 +194769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,0.526417026,0.999 +194770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.342518521,0.999 +194772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.32034746,0.999 +194774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.634375355,0.999 +194775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.984871064,0.999 +194773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.58340084,0.999 +194777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.916873353,0.999 +194776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.162834011,0.999 +194779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,10.38872018,0.999 +194780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.790371567,0.999 +194781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.768080823,0.999 +194782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.194918184,0.999 +194778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.8335948,0.999 +194783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.344773812,0.999 +194784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.157535153,0.999 +194785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.567573189,0.999 +194787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.900711366,0.999 +194786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.747771766,0.999 +194788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,9.349707147,0.999 +194789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.001168895,0.999 +194791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.459733687,0.999 +194790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.330441917,0.999 +194792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.451888524,0.999 +194793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.511297763,0.999 +194794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.429880865,0.999 +194796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.583004031,0.999 +194795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.726431271,0.999 +194797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.873514122,0.999 +194800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.171465541,0.999 +194799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.10523503,0.999 +194801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.063583728,0.999 +194798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.159942997,0.999 +194802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.653400807,0.999 +194805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.180690599,0.999 +194803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.343277452,0.999 +194804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.115309113,0.999 +194806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.557912035,0.999 +194807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,0.388363003,0.999 +194809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.3830656,0.999 +194808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.045593994,0.999 +194810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,8.726711951,0.999 +194811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,-0.442474625,0.999 +194812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.177208834,0.999 +194813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.487337689,0.999 +194814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.212283746,0.999 +194816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.582376523,0.999 +194817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.656811462,0.999 +194818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.680034259,0.999 +194815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.440036832,0.999 +194819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.540359748,0.999 +194820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.689099543,0.999 +194821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.225811503,0.999 +194822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,8.847723425,0.999 +194823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.933411763,0.999 +194824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.603103638,0.999 +194825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.297586913,0.999 +194826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.639842363,0.999 +194827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.216388888,0.999 +194828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.858749024,0.999 +194829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.949074661,0.999 +194830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.970106642,0.999 +194831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.938673896,0.999 +194833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.317826284,0.999 +194832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.018247073,0.999 +194835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.809628036,0.999 +194836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.319183622,0.999 +194834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.404255667,0.999 +194837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.152343083,0.999 +194839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.604482405,0.999 +194838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.763453612,0.999 +194840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.917198958,0.999 +194841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.178523343,0.999 +194842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.199433183,0.999 +194843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,8.127450991,0.999 +194844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.699117653,0.999 +194846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.272844104,0.999 +194847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.386453219,0.999 +194848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.453821205,0.999 +194845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.293837321,0.999 +194849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.258207647,0.999 +194850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.556811642,0.999 +194851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.11285775,0.999 +194852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.471605565,0.999 +194854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.32077016,0.999 +194853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.147957768,0.999 +194855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.1632292,0.999 +194857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.148040169,0.999 +194858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.205842381,0.999 +194859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.760014398,0.999 +194856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.030240435,0.999 +194861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.681906005,0.999 +194860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.92235215,0.999 +194862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.703925521,0.999 +194865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.166842027,0.999 +194864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,8.00677212,0.999 +194863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.088438109,0.999 +194866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.025748956,0.999 +194867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.354650195,0.999 +194868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,0.888765343,0.999 +194870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.450321996,0.999 +194869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.532648554,0.999 +194872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.110380731,0.999 +194871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.105219523,0.999 +194873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.039480373,0.999 +194874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.644999517,0.999 +194875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.185762329,0.999 +194876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.586930749,0.999 +194877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.584109112,0.999 +194879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.769753823,0.999 +194880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.385694093,0.999 +194881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.360759006,0.999 +194878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.472009504,0.999 +194882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.942670775,0.999 +194883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.17022249,0.999 +194885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.787413715,0.999 +194884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.703146959,0.999 +194886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.331358474,0.999 +194887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.418910993,0.999 +194889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.8296062,0.999 +194890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,9.755973927,0.999 +194888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.926397416,0.999 +194891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.490230245,0.999 +194892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,12.29823443,0.999 +194893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.405871353,0.999 +194895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.980911737,0.999 +194896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.885769944,0.999 +194897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.687003997,0.999 +194894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.865343091,0.999 +194898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.506401521,0.999 +194899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.02579585,0.999 +194901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.129739139,0.999 +194900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.341906586,0.999 +194902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.108456077,0.999 +194903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.193751861,0.999 +194905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.515790023,0.999 +194904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,9.28619203,0.999 +194906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.455606129,0.999 +194907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.847927525,0.999 +194908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,8.384812727,0.999 +194909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.686543136,0.999 +194910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.151210817,0.999 +194911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,8.011697448,0.999 +194912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.066740288,0.999 +194914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.817173454,0.999 +194913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.660396353,0.999 +194916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.780572941,0.999 +194915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.310619816,0.999 +194918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,8.769021707,0.999 +194919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.440485971,0.999 +194917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.026806383,0.999 +194920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.489699027,0.999 +194922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.040271822,0.999 +194921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.45346142,0.999 +194923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.971036716,0.999 +194924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.817490972,0.999 +194925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.393671642,0.999 +194927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.640411756,0.999 +194926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.768797452,0.999 +194928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.28771492,0.999 +194930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.711224515,0.999 +194929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.344483136,0.999 +194931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.716786817,0.999 +194933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.974159327,0.999 +194934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.756436991,0.999 +194935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,8.515565266,0.999 +194932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.592392828,0.999 +194936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.020318802,0.999 +194937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.425904741,0.999 +194938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.299187619,0.999 +194940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.587060544,0.999 +194941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.47713508,0.999 +194939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.411477593,0.999 +194942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.285327353,0.999 +194943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.726457714,0.999 +194944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.659331916,0.999 +194945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.820264059,0.999 +194947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.642924731,0.999 +194946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.823915803,0.999 +194949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.904033106,0.999 +194948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.384000453,0.999 +194950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.338123512,0.999 +194951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.199471328,0.999 +194953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.051370777,0.999 +194954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,10.2238504,0.999 +194955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.07550141,0.999 +194956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.798484553,0.999 +194957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.438417997,0.999 +194952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.968411014,0.999 +194958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.413744715,0.999 +194961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.959407824,0.999 +194959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.995860871,0.999 +194960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.208525981,0.999 +194963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.20628498,0.999 +194962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,12.01132542,0.999 +194964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.533900872,0.999 +194965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.812080851,0.999 +194966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,8.902453172,0.999 +194967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.18347692,0.999 +194968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.326473278,0.999 +194969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.473738275,0.999 +194971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.681397572,0.999 +194972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.076619893,0.999 +194973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.587683549,0.999 +194970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.672754614,0.999 +194974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.948202446,0.999 +194975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.36744566,0.999 +194977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.656738794,0.999 +194976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.842036293,0.999 +194978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.137417812,0.999 +194979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.401870617,0.999 +194980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.08683018,0.999 +194981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,1.619579602,0.999 +194983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.031277019,0.999 +194982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.517201258,0.999 +194984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,6.095843447,0.999 +194985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.726433198,0.999 +194986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.970801922,0.999 +194987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.325709538,0.999 +194989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.11361684,0.999 +194990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.857559897,0.999 +194988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.954692531,0.999 +194992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.343642503,0.999 +194993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,4.720770697,0.999 +194994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.352016516,0.999 +194991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.774112189,0.999 +194995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,5.169721632,0.999 +194996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.410687127,0.999 +194997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.735604351,0.999 +194999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,3.144651129,0.999 +194998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,7.383701402,0.999 +195000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,5,1,2.025188653,0.999 +204001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.375404443,0.992 +204002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.653815211,0.992 +204004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.376221984,0.992 +204005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.499474501,0.992 +204006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.651916304,0.992 +204003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.554586039,0.992 +204007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.363494517,0.992 +204008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.780869764,0.992 +204009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.634865899,0.992 +204010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.171154714,0.992 +204011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.571767951,0.992 +204012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.567918117,0.992 +204013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.632089799,0.992 +204014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.477684528,0.992 +204015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.589819991,0.992 +204016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.17984126,0.992 +204017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.463349547,0.992 +204018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.592306123,0.992 +204019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.302868826,0.992 +204020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.543866124,0.992 +204021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.562896343,0.992 +204022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.343994741,0.992 +204023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.546263616,0.992 +204025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.362740673,0.992 +204027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.551480841,0.992 +204024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.121081331,0.992 +204026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.590741922,0.992 +204028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.35333948,0.992 +204031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.784251951,0.992 +204029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.51892788,0.992 +204030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.458512555,0.992 +204032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.5967747,0.992 +204034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.961742156,0.992 +204033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.170781602,0.992 +204035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.57515763,0.992 +204036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.638593051,0.992 +204037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.879686712,0.992 +204039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.073224064,0.992 +204038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.757166504,0.992 +204040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.96019916,0.992 +204041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.298191355,0.992 +204043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.372597589,0.992 +204044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.037465175,0.992 +204045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.062572319,0.992 +204046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.33727671,0.992 +204047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.532749389,0.992 +204042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.933965368,0.992 +204048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.104084097,0.992 +204050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,9.577330741,0.992 +204051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.816871077,0.992 +204052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,9.906058395,0.992 +204049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.334201604,0.992 +204053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.268681184,0.992 +204054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.256832419,0.992 +204055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.672121777,0.992 +204056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.428919055,0.992 +204057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.202658021,0.992 +204058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.77885136,0.992 +204059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.638414723,0.992 +204061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.895460505,0.992 +204060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.771814095,0.992 +204063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.442596997,0.992 +204065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.327631843,0.992 +204062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.789005918,0.992 +204064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.745381415,0.992 +204066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.990061944,0.992 +204068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.498670993,0.992 +204069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.173977553,0.992 +204067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.4832364,0.992 +204071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.711847938,0.992 +204070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.059107049,0.992 +204072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.490270648,0.992 +204073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.196281994,0.992 +204075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.531260697,0.992 +204074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.721079152,0.992 +204076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.236658514,0.992 +204077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.833845289,0.992 +204078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.417988334,0.992 +204080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.725737052,0.992 +204081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.981636692,0.992 +204079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.890720536,0.992 +204082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.100038911,0.992 +204085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.03616528,0.992 +204083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.090164579,0.992 +204086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.260908314,0.992 +204087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.254672643,0.992 +204088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.591991456,0.992 +204084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.966745133,0.992 +204089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.36589393,0.992 +204090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.647260738,0.992 +204091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.346071849,0.992 +204093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.460401482,0.992 +204092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,-0.907625732,0.992 +204095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.549196176,0.992 +204094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.060125348,0.992 +204096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.247134281,0.992 +204097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.694827542,0.992 +204098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,9.213509533,0.992 +204099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.395503955,0.992 +204100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.611059156,0.992 +204101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,12.45951581,0.992 +204103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.867563662,0.992 +204102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.074788501,0.992 +204104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,9.256408054,0.992 +204106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.957338425,0.992 +204107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,10.30536248,0.992 +204108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.880737541,0.992 +204109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.417699606,0.992 +204110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.158951842,0.992 +204105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.083546854,0.992 +204111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.224020046,0.992 +204113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.32020835,0.992 +204112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.305117747,0.992 +204114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.158766,0.992 +204116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.200633601,0.992 +204115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.580702341,0.992 +204117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.986278401,0.992 +204118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.012925141,0.992 +204119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.486682414,0.992 +204120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.213411293,0.992 +204121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.672434446,0.992 +204123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,-0.416528781,0.992 +204124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.702344786,0.992 +204125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.757903248,0.992 +204122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.061831382,0.992 +204127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.691710169,0.992 +204126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.790692388,0.992 +204128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.866992347,0.992 +204129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.490086799,0.992 +204131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.608417171,0.992 +204130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.758038367,0.992 +204132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.395503993,0.992 +204134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.048543207,0.992 +204133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,0.791940921,0.992 +204135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.070240049,0.992 +204136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.470799379,0.992 +204137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.027917176,0.992 +204138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.017986539,0.992 +204139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.088884101,0.992 +204140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.537889005,0.992 +204143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.849967352,0.992 +204141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.240830435,0.992 +204142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.098299721,0.992 +204145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.942875359,0.992 +204146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.104024473,0.992 +204144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.425354903,0.992 +204147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.234125325,0.992 +204148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.931264362,0.992 +204149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.730382199,0.992 +204151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.287922747,0.992 +204152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.194196581,0.992 +204153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.229730447,0.992 +204150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.520586005,0.992 +204155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,0.629672944,0.992 +204154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.248117354,0.992 +204156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.682306914,0.992 +204157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,0.34632953,0.992 +204158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.285711334,0.992 +204161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.074065629,0.992 +204160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.751538287,0.992 +204159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.615224061,0.992 +204163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.780704695,0.992 +204162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.676882685,0.992 +204164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.12923629,0.992 +204165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.85843907,0.992 +204167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.74097426,0.992 +204168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.353501041,0.992 +204170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.261544845,0.992 +204171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.504583022,0.992 +204169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.210069583,0.992 +204166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.352818541,0.992 +204175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.644395888,0.992 +204172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.791720557,0.992 +204173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.858391677,0.992 +204174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.956575519,0.992 +204176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,-0.301568642,0.992 +204177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.116771303,0.992 +204178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.238214962,0.992 +204179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.823252387,0.992 +204181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.515836949,0.992 +204180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.869920572,0.992 +204182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.12035986,0.992 +204183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.15043758,0.992 +204184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.679474937,0.992 +204186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.342003085,0.992 +204185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.231381752,0.992 +204187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.617745474,0.992 +204190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,9.070767894,0.992 +204188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.860494125,0.992 +204189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.444190203,0.992 +204191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.081347064,0.992 +204193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.157126189,0.992 +204192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.132117512,0.992 +204194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.301536286,0.992 +204195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,10.05121149,0.992 +204196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.760367396,0.992 +204197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.529068577,0.992 +204198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.007612331,0.992 +204200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.142800122,0.992 +204202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.71499435,0.992 +204201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,11.91704372,0.992 +204199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.325556594,0.992 +204205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.579233454,0.992 +204206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.382366448,0.992 +204204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.480692534,0.992 +204203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.624229743,0.992 +204207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.819764619,0.992 +204209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.132667426,0.992 +204210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.719207763,0.992 +204211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.970143757,0.992 +204212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.151082897,0.992 +204213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.592576135,0.992 +204215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.398768663,0.992 +204208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.532851963,0.992 +204216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.540453878,0.992 +204214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.982597576,0.992 +204218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.541434641,0.992 +204220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.18405763,0.992 +204217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.455293132,0.992 +204219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.313054027,0.992 +204221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.436058111,0.992 +204222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.620875563,0.992 +204223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.494864353,0.992 +204224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,9.651382697,0.992 +204225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.523599449,0.992 +204226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.689133332,0.992 +204227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.279881871,0.992 +204228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.394672486,0.992 +204230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,9.330501046,0.992 +204231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.781185908,0.992 +204232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.978348127,0.992 +204229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.592491625,0.992 +204233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.855272229,0.992 +204236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.814982772,0.992 +204234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.54248987,0.992 +204235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.896170286,0.992 +204237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.306413166,0.992 +204238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.62282123,0.992 +204239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.419305575,0.992 +204240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.343871425,0.992 +204241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.54210244,0.992 +204243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.907836025,0.992 +204242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.171999497,0.992 +204244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.777093242,0.992 +204245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.607666528,0.992 +204246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.688889762,0.992 +204248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.830039437,0.992 +204247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,9.781844736,0.992 +204250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.870188852,0.992 +204249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.899976131,0.992 +204251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.81956287,0.992 +204252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.816653863,0.992 +204253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.206376034,0.992 +204254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.995589923,0.992 +204255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.724309876,0.992 +204256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.664573541,0.992 +204258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.700076422,0.992 +204257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.49761187,0.992 +204259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.890505621,0.992 +204261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.487483785,0.992 +204262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.326768413,0.992 +204263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.123596412,0.992 +204260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.41975032,0.992 +204264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.036342559,0.992 +204266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,11.064075,0.992 +204265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.802185191,0.992 +204268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.74571291,0.992 +204267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.248490742,0.992 +204269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,9.891208597,0.992 +204270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.909901069,0.992 +204271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.352659654,0.992 +204274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.481264893,0.992 +204273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.141013063,0.992 +204272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.605937913,0.992 +204275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.660147868,0.992 +204276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.111752756,0.992 +204277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.580264774,0.992 +204278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.40356452,0.992 +204279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.780719806,0.992 +204280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.528340179,0.992 +204281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.879004195,0.992 +204283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.417353985,0.992 +204284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.712453383,0.992 +204285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,0.555353817,0.992 +204286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.673663531,0.992 +204287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.191610926,0.992 +204282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.818945398,0.992 +204288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.682397612,0.992 +204289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.590271348,0.992 +204290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.79961248,0.992 +204292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.799126266,0.992 +204291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,0.666694852,0.992 +204293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.246341804,0.992 +204294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.107800697,0.992 +204295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,9.484845664,0.992 +204296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.856481362,0.992 +204297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.436245151,0.992 +204298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.083416764,0.992 +204300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.421350621,0.992 +204299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.344597328,0.992 +204301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.431272901,0.992 +204302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,9.64918747,0.992 +204304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,-0.722992721,0.992 +204305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.002628071,0.992 +204306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,0.071137032,0.992 +204307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.105798837,0.992 +204308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.936724229,0.992 +204303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.209970392,0.992 +204309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.561836508,0.992 +204310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.400370767,0.992 +204311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.53350896,0.992 +204312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.655924106,0.992 +204313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.224435464,0.992 +204314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,-0.067117435,0.992 +204315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.527152645,0.992 +204316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.028225816,0.992 +204317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.581720503,0.992 +204318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,10.60480817,0.992 +204319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,9.462710679,0.992 +204320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.788440253,0.992 +204321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.896910374,0.992 +204323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.013554856,0.992 +204322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,0.875876358,0.992 +204325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.934821181,0.992 +204327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.440423549,0.992 +204326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.592595213,0.992 +204324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.136644355,0.992 +204328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.572324578,0.992 +204330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.004381575,0.992 +204329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,11.63599335,0.992 +204331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.751856091,0.992 +204332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.849829938,0.992 +204333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.865608917,0.992 +204334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.679598212,0.992 +204335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.697790796,0.992 +204336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,0.067196636,0.992 +204337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.768029021,0.992 +204338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.647986201,0.992 +204340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.215619949,0.992 +204341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,10.2651744,0.992 +204342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.180861713,0.992 +204339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.657044196,0.992 +204343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.097600223,0.992 +204345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.646290533,0.992 +204346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,-0.487960421,0.992 +204344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.160079709,0.992 +204347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.300814799,0.992 +204348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.960686814,0.992 +204350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.18126938,0.992 +204349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.759740064,0.992 +204351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.360457291,0.992 +204352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.275972503,0.992 +204353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.073008649,0.992 +204354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.162423305,0.992 +204355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.751011644,0.992 +204356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.196409395,0.992 +204357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.935963858,0.992 +204359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.660838353,0.992 +204358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.598720284,0.992 +204360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.822244832,0.992 +204361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.595328505,0.992 +204364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.868965795,0.992 +204362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.869998918,0.992 +204365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.001888273,0.992 +204363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.937560277,0.992 +204366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.105429131,0.992 +204367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.362622562,0.992 +204368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.942439761,0.992 +204369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.894190262,0.992 +204371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.399971265,0.992 +204370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.127645767,0.992 +204372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.588767352,0.992 +204374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.190333237,0.992 +204375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.374493789,0.992 +204376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.690407753,0.992 +204373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.038099175,0.992 +204377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,11.06090619,0.992 +204378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.697554728,0.992 +204379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,10.46149314,0.992 +204381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,10.51005761,0.992 +204382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.135708731,0.992 +204383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.213131389,0.992 +204380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.550186688,0.992 +204384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.600165504,0.992 +204385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.153384964,0.992 +204386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.618339694,0.992 +204387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.069990492,0.992 +204388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.545433422,0.992 +204389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.175923105,0.992 +204390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.098835033,0.992 +204391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.104389208,0.992 +204392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.618972426,0.992 +204393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,9.472187149,0.992 +204394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.666491795,0.992 +204396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.314585727,0.992 +204397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.446721816,0.992 +204398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.774136642,0.992 +204395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.243691082,0.992 +204399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.122122828,0.992 +204400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.50911626,0.992 +204401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.778374446,0.992 +204402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.544458777,0.992 +204403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.896952585,0.992 +204404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,9.298137981,0.992 +204405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.210207624,0.992 +204406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.756689305,0.992 +204407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.631298625,0.992 +204408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.451904779,0.992 +204409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.324426739,0.992 +204410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.183154358,0.992 +204411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.764405799,0.992 +204412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.536424927,0.992 +204413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.343524033,0.992 +204415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.432248896,0.992 +204416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.284572418,0.992 +204417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.371896578,0.992 +204419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.236875851,0.992 +204414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.008326423,0.992 +204418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,9.287972953,0.992 +204420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.062914135,0.992 +204422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.368805107,0.992 +204421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.492357166,0.992 +204423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.754718525,0.992 +204424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.759968591,0.992 +204425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.421129998,0.992 +204426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.466281748,0.992 +204427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.045263272,0.992 +204428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.252885849,0.992 +204429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.658223595,0.992 +204430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.139292741,0.992 +204431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.74451853,0.992 +204432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.560329381,0.992 +204434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,9.266592422,0.992 +204436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.341286736,0.992 +204435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.221624145,0.992 +204433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.022593867,0.992 +204437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.231339996,0.992 +204438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.643123612,0.992 +204439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.174029982,0.992 +204440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.45514065,0.992 +204442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.500302327,0.992 +204441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.393075168,0.992 +204443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.917447994,0.992 +204445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.454310269,0.992 +204446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.26603239,0.992 +204444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.718799633,0.992 +204447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.843408129,0.992 +204449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.080271772,0.992 +204448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.096862312,0.992 +204451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.870611111,0.992 +204450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.670753267,0.992 +204453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.718559097,0.992 +204452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.065158799,0.992 +204454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.852775619,0.992 +204455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.996887087,0.992 +204456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.356893067,0.992 +204457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.277991737,0.992 +204458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.415355371,0.992 +204460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.874826974,0.992 +204459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.797972172,0.992 +204461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.438015592,0.992 +204462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.956219404,0.992 +204463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.378726383,0.992 +204465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.614881669,0.992 +204464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.786963888,0.992 +204466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.945248223,0.992 +204468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.628497606,0.992 +204467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.19762051,0.992 +204469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.051953832,0.992 +204470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.663697281,0.992 +204471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.5838151,0.992 +204472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.370761673,0.992 +204474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.237375101,0.992 +204475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.487520303,0.992 +204476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.368258524,0.992 +204477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.655330453,0.992 +204473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.737893098,0.992 +204478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.033640033,0.992 +204479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.160972827,0.992 +204481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.156413231,0.992 +204480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.845683086,0.992 +204483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.2450138,0.992 +204482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.80061458,0.992 +204484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.834535388,0.992 +204485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.733839304,0.992 +204486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.892500357,0.992 +204487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.040818298,0.992 +204489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.736072054,0.992 +204490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.250896118,0.992 +204491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.157652721,0.992 +204492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.49032528,0.992 +204493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.064240644,0.992 +204494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.421537017,0.992 +204488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.040663104,0.992 +204495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.183875517,0.992 +204496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.768744253,0.992 +204497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.024163178,0.992 +204498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.149062869,0.992 +204499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.230977385,0.992 +204500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.051988903,0.992 +204501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.134734994,0.992 +204502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.946674819,0.992 +204503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.088941215,0.992 +204504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.391078337,0.992 +204505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,14.18540669,0.992 +204507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.309404934,0.992 +204508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.941923161,0.992 +204509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.11290923,0.992 +204506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.351445045,0.992 +204510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.794164532,0.992 +204511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.352884348,0.992 +204513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.976562473,0.992 +204512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.834111612,0.992 +204514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.972966538,0.992 +204515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.528088256,0.992 +204517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.017378798,0.992 +204516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.537258954,0.992 +204518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.810398625,0.992 +204519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.230222144,0.992 +204520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.124842424,0.992 +204521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.556562005,0.992 +204522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.485953943,0.992 +204523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.550492408,0.992 +204524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,0.420730362,0.992 +204526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.606454836,0.992 +204525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.196646761,0.992 +204528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.879874166,0.992 +204527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.378559681,0.992 +204529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.63991609,0.992 +204532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.831149458,0.992 +204530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.797196409,0.992 +204531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.823150439,0.992 +204533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.559239893,0.992 +204535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.317430703,0.992 +204534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.033324523,0.992 +204536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.291814567,0.992 +204537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.15699734,0.992 +204539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.120622163,0.992 +204538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.23012402,0.992 +204540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.369263732,0.992 +204541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.11188081,0.992 +204542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.130131773,0.992 +204544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.83550432,0.992 +204543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.384199584,0.992 +204545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.253431482,0.992 +204546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.945082141,0.992 +204547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.783774808,0.992 +204548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.059158711,0.992 +204549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.933712704,0.992 +204550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.650575405,0.992 +204551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,0.221127131,0.992 +204553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.050473955,0.992 +204554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.275034955,0.992 +204555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.95332958,0.992 +204552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.775194145,0.992 +204556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,-0.690443827,0.992 +204558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.384623517,0.992 +204559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.064344383,0.992 +204557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.004094292,0.992 +204560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.102422878,0.992 +204561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.299866836,0.992 +204563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.580715354,0.992 +204562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.605088422,0.992 +204564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.699405468,0.992 +204565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.704295764,0.992 +204566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.652137596,0.992 +204567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.378295681,0.992 +204569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.437125815,0.992 +204568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.903981351,0.992 +204570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.999511807,0.992 +204571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.878509966,0.992 +204573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.449443376,0.992 +204572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.883760659,0.992 +204574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.656138298,0.992 +204578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.561861673,0.992 +204577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.302335712,0.992 +204576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.139827848,0.992 +204575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.264742655,0.992 +204579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.885723881,0.992 +204580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.06567257,0.992 +204581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,0.26530629,0.992 +204583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.559543059,0.992 +204585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.795708933,0.992 +204584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.152821657,0.992 +204582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.935153672,0.992 +204587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.649922788,0.992 +204586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.178232869,0.992 +204589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.604350447,0.992 +204588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.074990756,0.992 +204590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.154844839,0.992 +204592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.833181896,0.992 +204591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.351393721,0.992 +204593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.269892984,0.992 +204594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.407995188,0.992 +204596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.771729672,0.992 +204597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.699901166,0.992 +204598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.026658255,0.992 +204595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.419789926,0.992 +204599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.233008111,0.992 +204600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.604146192,0.992 +204602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.925269933,0.992 +204601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,9.496823584,0.992 +204604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,10.43915434,0.992 +204603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.304719844,0.992 +204606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.172783431,0.992 +204605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.789508435,0.992 +204607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.142269043,0.992 +204608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.974309085,0.992 +204610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.867796215,0.992 +204609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.588591952,0.992 +204611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.751215729,0.992 +204612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.24946653,0.992 +204614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.546503363,0.992 +204615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.097260534,0.992 +204616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.591779401,0.992 +204613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.492156897,0.992 +204617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.447592075,0.992 +204619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.086431165,0.992 +204618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.747275584,0.992 +204620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.035786026,0.992 +204622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,10.53081129,0.992 +204621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.283264275,0.992 +204623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.242349865,0.992 +204624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.76267583,0.992 +204625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.209088172,0.992 +204626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.455084521,0.992 +204627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.870358888,0.992 +204629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.802110944,0.992 +204630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.644059227,0.992 +204631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.946596037,0.992 +204628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.407057991,0.992 +204633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.32591679,0.992 +204632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.356061888,0.992 +204634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.003350699,0.992 +204635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.470808328,0.992 +204636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.172319764,0.992 +204637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.57026932,0.992 +204638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.360569945,0.992 +204639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.232687556,0.992 +204640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.169263663,0.992 +204641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.498819938,0.992 +204642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.681636153,0.992 +204644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.958532358,0.992 +204643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.680369174,0.992 +204645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.754310806,0.992 +204646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.637639672,0.992 +204647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.392446132,0.992 +204649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.621652006,0.992 +204650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.577329776,0.992 +204651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.873110817,0.992 +204648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.681272685,0.992 +204652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.579930845,0.992 +204653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.484819888,0.992 +204654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.956847626,0.992 +204655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.94699658,0.992 +204656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.726039595,0.992 +204657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.014020491,0.992 +204658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.698184367,0.992 +204659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.89166477,0.992 +204661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.613695784,0.992 +204662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.368658062,0.992 +204660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.624845827,0.992 +204663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.35085489,0.992 +204664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.60930768,0.992 +204665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.5086128,0.992 +204666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.65532786,0.992 +204668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.32856986,0.992 +204667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.458176495,0.992 +204669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.477311716,0.992 +204670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.590111457,0.992 +204671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.090447015,0.992 +204672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.311888323,0.992 +204673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.055235939,0.992 +204674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.655280205,0.992 +204675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.707010634,0.992 +204676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.356835741,0.992 +204677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.028273912,0.992 +204678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.088993458,0.992 +204679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.293043862,0.992 +204681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.062955449,0.992 +204682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.988080151,0.992 +204680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.715697011,0.992 +204683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.554575953,0.992 +204684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.7553196,0.992 +204685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.053632508,0.992 +204687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.916125455,0.992 +204688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.114153135,0.992 +204689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.118985467,0.992 +204686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.337629269,0.992 +204690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.798711954,0.992 +204691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.123251514,0.992 +204692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.699103829,0.992 +204693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.775431815,0.992 +204694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.281554357,0.992 +204696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.352268906,0.992 +204695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.793136693,0.992 +204697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.194991726,0.992 +204698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,-0.057066953,0.992 +204699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.139929628,0.992 +204700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.086088154,0.992 +204701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.176337367,0.992 +204702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.298858286,0.992 +204703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.467390345,0.992 +204704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.811836035,0.992 +204706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.655893857,0.992 +204707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.186938075,0.992 +204708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.170392162,0.992 +204705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.627510467,0.992 +204710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.434666673,0.992 +204711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.264613401,0.992 +204709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.981934625,0.992 +204712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.39094952,0.992 +204715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.480232253,0.992 +204714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.511292655,0.992 +204713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.052367446,0.992 +204716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.027455518,0.992 +204718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.707765706,0.992 +204717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.958704336,0.992 +204719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.667707288,0.992 +204722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.458944226,0.992 +204721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.926732015,0.992 +204723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,10.68747808,0.992 +204725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.620204011,0.992 +204720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.804195421,0.992 +204724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.7938786,0.992 +204726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.420268459,0.992 +204728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.67538505,0.992 +204727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.129474936,0.992 +204729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.497226129,0.992 +204730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,9.992736287,0.992 +204732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.593697439,0.992 +204731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.80289942,0.992 +204733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.170606491,0.992 +204734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.130605895,0.992 +204737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.449306718,0.992 +204735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.555096455,0.992 +204736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.379168161,0.992 +204738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.945513649,0.992 +204740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.49783571,0.992 +204739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.975354966,0.992 +204741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.851038253,0.992 +204742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.740930469,0.992 +204743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.175164009,0.992 +204744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.193931725,0.992 +204745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.285004138,0.992 +204746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.150846724,0.992 +204747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.597057937,0.992 +204748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.748070497,0.992 +204749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.271697469,0.992 +204750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,10.02580142,0.992 +204751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.810619478,0.992 +204752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.920478769,0.992 +204754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.90796987,0.992 +204753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.954135275,0.992 +204755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,0.620311907,0.992 +204756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.914096182,0.992 +204757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.892102996,0.992 +204759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.987492172,0.992 +204758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.58975992,0.992 +204760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.664785432,0.992 +204761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.92048008,0.992 +204762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.935235812,0.992 +204763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.258297569,0.992 +204764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.464072414,0.992 +204765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.995578473,0.992 +204766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.028493517,0.992 +204767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.932744266,0.992 +204768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.381308877,0.992 +204769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.233513515,0.992 +204770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.123328771,0.992 +204771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.995473822,0.992 +204772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.332945062,0.992 +204774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.378558768,0.992 +204775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.925797552,0.992 +204776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.892223424,0.992 +204777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.050210711,0.992 +204773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.719869457,0.992 +204779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.983770658,0.992 +204780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.347874574,0.992 +204778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.457350703,0.992 +204781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.084494388,0.992 +204782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,10.24675927,0.992 +204783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.800487636,0.992 +204785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.535618499,0.992 +204786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,11.35074957,0.992 +204784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.545781178,0.992 +204788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.097018121,0.992 +204787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.794076154,0.992 +204790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.869798499,0.992 +204789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.057209231,0.992 +204791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.508233025,0.992 +204792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.474419843,0.992 +204794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.020455305,0.992 +204793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.521738863,0.992 +204796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.656511132,0.992 +204795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,9.61991421,0.992 +204797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.190819018,0.992 +204799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.239812855,0.992 +204800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.488117217,0.992 +204803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.952485547,0.992 +204798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.095653905,0.992 +204801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.037553728,0.992 +204802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.975207846,0.992 +204804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.566503382,0.992 +204805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.114273319,0.992 +204806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.998546386,0.992 +204807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.952348951,0.992 +204810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.319345597,0.992 +204811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.351968966,0.992 +204808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.737883641,0.992 +204809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.157992377,0.992 +204812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.776368556,0.992 +204814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.957164218,0.992 +204813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,12.56497961,0.992 +204816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.386141771,0.992 +204818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.329722585,0.992 +204817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,0.69955209,0.992 +204815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.764412291,0.992 +204821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.285894364,0.992 +204822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,0.512326555,0.992 +204820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.93560649,0.992 +204819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.155055006,0.992 +204824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.39871221,0.992 +204825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.827652582,0.992 +204826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.684625915,0.992 +204823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.902996578,0.992 +204828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.885982166,0.992 +204829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.156413713,0.992 +204830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.057733603,0.992 +204831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.690074014,0.992 +204832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.634310646,0.992 +204833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.488576638,0.992 +204827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,10.97730606,0.992 +204836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.487862522,0.992 +204834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.162863247,0.992 +204837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.551075936,0.992 +204835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.066649633,0.992 +204839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.930940182,0.992 +204840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.870719585,0.992 +204841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.518452272,0.992 +204842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.478702114,0.992 +204838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.427511821,0.992 +204843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.260877591,0.992 +204844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.019275342,0.992 +204845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.642313072,0.992 +204848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.045637823,0.992 +204846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.378082405,0.992 +204847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.627355174,0.992 +204851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.899111675,0.992 +204849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.20867783,0.992 +204850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.312238839,0.992 +204852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,11.66382909,0.992 +204853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.720402768,0.992 +204854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.267777469,0.992 +204855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.754502887,0.992 +204856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.100857964,0.992 +204858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.006123664,0.992 +204859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.431035267,0.992 +204860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.713820886,0.992 +204861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.37695338,0.992 +204857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.973554218,0.992 +204862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.775118056,0.992 +204864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.312845022,0.992 +204863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.787972001,0.992 +204865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.423101578,0.992 +204866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.369571901,0.992 +204867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.088521185,0.992 +204868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.588319855,0.992 +204869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.343411485,0.992 +204870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,9.401943499,0.992 +204871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.908205115,0.992 +204872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.823845863,0.992 +204873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.958600068,0.992 +204874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.151231188,0.992 +204876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.239870441,0.992 +204875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.77191079,0.992 +204877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.229942788,0.992 +204879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.93406639,0.992 +204878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.880324888,0.992 +204881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,10.76276109,0.992 +204880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.013677704,0.992 +204882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.651147202,0.992 +204883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.852276198,0.992 +204884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.938656738,0.992 +204885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.749762197,0.992 +204886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.537777361,0.992 +204888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.829440673,0.992 +204889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.517837126,0.992 +204887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.129441902,0.992 +204890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.375959789,0.992 +204891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.850362166,0.992 +204892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.203781623,0.992 +204893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.791305651,0.992 +204894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.718452084,0.992 +204896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,9.109372652,0.992 +204895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.168533648,0.992 +204897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.559813135,0.992 +204898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.685744476,0.992 +204899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.564016098,0.992 +204900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.368940722,0.992 +204901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.890502316,0.992 +204903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.786988475,0.992 +204902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,10.64260439,0.992 +204904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.409708909,0.992 +204905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.612707026,0.992 +204907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.58946679,0.992 +204906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.064445605,0.992 +204908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.099228611,0.992 +204909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.591683793,0.992 +204911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.139418826,0.992 +204912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.537424153,0.992 +204910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,9.166185362,0.992 +204914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.222427442,0.992 +204915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.288114814,0.992 +204916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.834833399,0.992 +204917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.457378563,0.992 +204918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.090820445,0.992 +204913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.850885242,0.992 +204919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.890234462,0.992 +204920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.496021141,0.992 +204921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.873587287,0.992 +204923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.322684493,0.992 +204924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.046453104,0.992 +204922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,9.545975269,0.992 +204928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.633814617,0.992 +204925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.644773044,0.992 +204926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.133034741,0.992 +204927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.469186533,0.992 +204930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.15906077,0.992 +204929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.465047487,0.992 +204931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.832971212,0.992 +204932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.273699289,0.992 +204933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.584304777,0.992 +204936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.483414484,0.992 +204935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.342498543,0.992 +204937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,9.874894872,0.992 +204934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.682766464,0.992 +204938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.260617191,0.992 +204939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.414637691,0.992 +204940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.449400039,0.992 +204942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.310445074,0.992 +204943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,0.789920499,0.992 +204941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.991363278,0.992 +204944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,8.994456546,0.992 +204945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.909728734,0.992 +204946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.058633454,0.992 +204948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.586837263,0.992 +204947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,10.89462408,0.992 +204949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.727083355,0.992 +204950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.759483048,0.992 +204951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.638816867,0.992 +204952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.690915661,0.992 +204953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.553273674,0.992 +204954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.157200391,0.992 +204955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.184105665,0.992 +204958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.308068105,0.992 +204957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.468200474,0.992 +204959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.295624742,0.992 +204956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.349331445,0.992 +204961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.681969172,0.992 +204960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.484765341,0.992 +204962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.080462045,0.992 +204963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,0.503119033,0.992 +204964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.63423071,0.992 +204965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.718150312,0.992 +204966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.576911913,0.992 +204968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.98567168,0.992 +204967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,0.402098275,0.992 +204969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.14221743,0.992 +204970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.164026636,0.992 +204971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.699820112,0.992 +204973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,7.675603475,0.992 +204972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.723770815,0.992 +204974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.430695214,0.992 +204975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.315948736,0.992 +204976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.964176648,0.992 +204977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.444821363,0.992 +204978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.779357199,0.992 +204979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.229134062,0.992 +204980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.53379971,0.992 +204981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.772037195,0.992 +204982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,9.426665715,0.992 +204983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.277404506,0.992 +204984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.174111124,0.992 +204985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,1.696850813,0.992 +204987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.159990089,0.992 +204986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.515297603,0.992 +204988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.383223543,0.992 +204991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.90593481,0.992 +204990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.225578542,0.992 +204992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.607952574,0.992 +204989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.649903984,0.992 +204994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.041271344,0.992 +204993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.865575297,0.992 +204995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,4.778606804,0.992 +204997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.80403182,0.992 +204998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,6.497396807,0.992 +204999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,3.765250956,0.992 +204996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,5.700901043,0.992 +205000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,5,1,2.274788028,0.992 +5001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,12.13652122,0.977 +5005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.002260942,0.977 +5003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.434540495,0.977 +5004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.137746492,0.977 +5006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.370087092,0.977 +5007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.718901077,0.977 +5008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.66737684,0.977 +5002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.342793501,0.977 +5009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.067614671,0.977 +5010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.866181293,0.977 +5012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.335033021,0.977 +5011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.470469001,0.977 +5013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.167906987,0.977 +5014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.251908547,0.977 +5016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.129274313,0.977 +5015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.535577995,0.977 +5017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.562254607,0.977 +5018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.223677369,0.977 +5019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.845095186,0.977 +5020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.70662429,0.977 +5021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.90436884,0.977 +5022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.3902556,0.977 +5023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.892911083,0.977 +5025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.384919575,0.977 +5027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.105024701,0.977 +5026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.378638032,0.977 +5024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,-1.311604233,0.977 +5028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.523288945,0.977 +5029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.803236983,0.977 +5030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.319082142,0.977 +5031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.287945529,0.977 +5032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.686649478,0.977 +5033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.21360363,0.977 +5034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.946756087,0.977 +5035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.84550217,0.977 +5036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.90040969,0.977 +5037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.14433666,0.977 +5038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.576537792,0.977 +5040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.005650207,0.977 +5041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.196342782,0.977 +5039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,9.670133118,0.977 +5042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.149598953,0.977 +5043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,-1.436908972,0.977 +5044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.097656915,0.977 +5045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.514336118,0.977 +5046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.335890412,0.977 +5047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.224326948,0.977 +5048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.41690305,0.977 +5050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.23970701,0.977 +5049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.968968931,0.977 +5051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.455288329,0.977 +5052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.736325698,0.977 +5053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.700985282,0.977 +5054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,9.327957495,0.977 +5055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.140833843,0.977 +5057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.257269813,0.977 +5056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.430250755,0.977 +5059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.090763501,0.977 +5061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.283000244,0.977 +5060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.036984309,0.977 +5062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.449934892,0.977 +5058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.123903098,0.977 +5063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.867691359,0.977 +5065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.550563145,0.977 +5064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.892116878,0.977 +5067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.35270822,0.977 +5066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.67579805,0.977 +5068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.08219166,0.977 +5069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.757230808,0.977 +5071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.235651944,0.977 +5070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.584392014,0.977 +5072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.741261225,0.977 +5073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.221054263,0.977 +5074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.954545316,0.977 +5075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.060550312,0.977 +5076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.000060256,0.977 +5079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.085531473,0.977 +5080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.956089742,0.977 +5077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.408989618,0.977 +5082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.446881767,0.977 +5081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.93891739,0.977 +5083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.665805541,0.977 +5078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.605280676,0.977 +5084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.101039807,0.977 +5087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.823142773,0.977 +5086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,11.04534921,0.977 +5085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.080318713,0.977 +5089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.268214875,0.977 +5090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.984942921,0.977 +5088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.303646683,0.977 +5091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.958792178,0.977 +5094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.980721632,0.977 +5095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,10.60850172,0.977 +5092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.755640806,0.977 +5096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.88185119,0.977 +5097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.428992321,0.977 +5098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.262799327,0.977 +5099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.901086487,0.977 +5093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.223246563,0.977 +5100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.02310908,0.977 +5101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.964037755,0.977 +5103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.315053361,0.977 +5105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.675881789,0.977 +5102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.953529625,0.977 +5104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.555726356,0.977 +5106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.796971674,0.977 +5108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.279364661,0.977 +5109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.833485417,0.977 +5111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.984289591,0.977 +5110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.14767435,0.977 +5107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.695978598,0.977 +5112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,11.81839015,0.977 +5113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.426702165,0.977 +5115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.392671114,0.977 +5116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.009220714,0.977 +5114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.772349202,0.977 +5118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.51061577,0.977 +5117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.555548103,0.977 +5120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.923931766,0.977 +5119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.615825806,0.977 +5121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.609333577,0.977 +5122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.132752044,0.977 +5124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.438088052,0.977 +5123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.974691245,0.977 +5126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.494279413,0.977 +5127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.273248935,0.977 +5128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.785517124,0.977 +5125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,9.357903348,0.977 +5130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.532843787,0.977 +5129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,14.1225171,0.977 +5132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.234634199,0.977 +5131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.112590136,0.977 +5134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.383924878,0.977 +5133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.655406061,0.977 +5135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.358395512,0.977 +5137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.527431259,0.977 +5136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.376717054,0.977 +5138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.054826079,0.977 +5139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.892972457,0.977 +5140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.742808301,0.977 +5141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.339297145,0.977 +5142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.274981285,0.977 +5144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.70755231,0.977 +5146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.322529581,0.977 +5143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.824571694,0.977 +5147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.398599402,0.977 +5145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.704794779,0.977 +5149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.289330301,0.977 +5148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.310950104,0.977 +5151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,-0.639780584,0.977 +5150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.296304597,0.977 +5152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.853140973,0.977 +5153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.98724006,0.977 +5154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.401883839,0.977 +5155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.529888232,0.977 +5156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.322703699,0.977 +5157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,11.14417195,0.977 +5159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.844965195,0.977 +5158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.325307172,0.977 +5161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.466448281,0.977 +5162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.336850088,0.977 +5160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.933177648,0.977 +5163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.411543642,0.977 +5164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.843450255,0.977 +5166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.979782846,0.977 +5165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.046158351,0.977 +5167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.751277757,0.977 +5168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.422824373,0.977 +5169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.670755964,0.977 +5170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.100408848,0.977 +5172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.14188111,0.977 +5171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.772182201,0.977 +5173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.230485466,0.977 +5174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,10.06056483,0.977 +5175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.482764662,0.977 +5176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.231637178,0.977 +5178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.817071541,0.977 +5179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.903959203,0.977 +5177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.952197264,0.977 +5180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.947684977,0.977 +5181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.580253532,0.977 +5183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.485072357,0.977 +5182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,9.331646536,0.977 +5185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.00436461,0.977 +5184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.350041094,0.977 +5186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.581094948,0.977 +5187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.3661619,0.977 +5188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.453462447,0.977 +5189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.200487846,0.977 +5190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.855280923,0.977 +5191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.471831135,0.977 +5192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.915193463,0.977 +5193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.180985734,0.977 +5195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.910254921,0.977 +5194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.22403628,0.977 +5197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.456069846,0.977 +5198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,9.412889478,0.977 +5196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.867899809,0.977 +5201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.509727534,0.977 +5200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.002457727,0.977 +5202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.41051486,0.977 +5199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.098686831,0.977 +5203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.799685116,0.977 +5204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.278404735,0.977 +5205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.177863651,0.977 +5206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.489792835,0.977 +5207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.996261235,0.977 +5209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.179871997,0.977 +5210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.853592648,0.977 +5208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.683956908,0.977 +5211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.911291772,0.977 +5213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.462484623,0.977 +5212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.190916826,0.977 +5214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.393745625,0.977 +5215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.523363518,0.977 +5217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.32419808,0.977 +5219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.866036968,0.977 +5218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.208251271,0.977 +5220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.301701229,0.977 +5221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.73832388,0.977 +5216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.556537099,0.977 +5222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,-5.10E-04,0.977 +5223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.591702233,0.977 +5225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.269246026,0.977 +5227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.765356877,0.977 +5224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,11.92593379,0.977 +5228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.797081189,0.977 +5226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.248899168,0.977 +5229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,-0.405667488,0.977 +5230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,9.222278631,0.977 +5231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.725150848,0.977 +5232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.261335355,0.977 +5233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.637459919,0.977 +5234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.703296008,0.977 +5236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.096120718,0.977 +5237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.407376901,0.977 +5238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.764838207,0.977 +5235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.531526948,0.977 +5239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.024634881,0.977 +5240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.373078944,0.977 +5242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.971929745,0.977 +5243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,-0.295392331,0.977 +5241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.395439666,0.977 +5244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.878165793,0.977 +5245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.557849523,0.977 +5247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.61002516,0.977 +5248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,9.942571555,0.977 +5249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.071340481,0.977 +5246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.533968907,0.977 +5250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.053774688,0.977 +5251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.220256724,0.977 +5253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,13.05466003,0.977 +5254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.561972809,0.977 +5255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.475623367,0.977 +5252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.24920232,0.977 +5256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.065943415,0.977 +5258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.47409935,0.977 +5257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.037120078,0.977 +5259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.412980953,0.977 +5261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.701893318,0.977 +5263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.806394826,0.977 +5262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.405062249,0.977 +5264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.733785817,0.977 +5265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.92406091,0.977 +5266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.24576703,0.977 +5260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.872374858,0.977 +5267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.969845568,0.977 +5269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.739428212,0.977 +5268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.668681848,0.977 +5270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.746541474,0.977 +5271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.448760617,0.977 +5272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.1216481,0.977 +5273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.206966489,0.977 +5274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.768838728,0.977 +5275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.626692933,0.977 +5276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.403436436,0.977 +5277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.030382276,0.977 +5278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.592495415,0.977 +5279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.534736999,0.977 +5280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.323518448,0.977 +5281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.704265562,0.977 +5284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.38633517,0.977 +5283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.703326085,0.977 +5285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.718045242,0.977 +5286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.10578096,0.977 +5282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.075853129,0.977 +5287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.226896677,0.977 +5288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.805912831,0.977 +5291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.393094828,0.977 +5290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.001328903,0.977 +5289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.215682817,0.977 +5292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.719455613,0.977 +5293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,9.274422575,0.977 +5294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.168332519,0.977 +5295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.365224114,0.977 +5296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.981366372,0.977 +5297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.900747782,0.977 +5299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.329558549,0.977 +5300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.339040351,0.977 +5301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.084557449,0.977 +5298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.346980285,0.977 +5302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.368369496,0.977 +5303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.44220923,0.977 +5304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.587493907,0.977 +5305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.248507764,0.977 +5306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.885635538,0.977 +5307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.599898228,0.977 +5308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.935183095,0.977 +5309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.680849107,0.977 +5311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.142973277,0.977 +5310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.021982423,0.977 +5312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.853281083,0.977 +5313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,11.90763462,0.977 +5315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.565424655,0.977 +5316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.9287577,0.977 +5314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,9.338898657,0.977 +5318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.381315478,0.977 +5317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.613629148,0.977 +5320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.662450148,0.977 +5319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.734119839,0.977 +5324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.751457623,0.977 +5321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.881875718,0.977 +5322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.738701322,0.977 +5323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.458829841,0.977 +5325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.313157864,0.977 +5328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.35583824,0.977 +5326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.615091713,0.977 +5327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.770530066,0.977 +5329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.054444582,0.977 +5331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.346940833,0.977 +5330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,14.24945716,0.977 +5332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.659682363,0.977 +5334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,-0.363786883,0.977 +5333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.960456905,0.977 +5335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.276026096,0.977 +5336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.331162325,0.977 +5337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,11.33902489,0.977 +5338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,-1.010628719,0.977 +5339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.922515005,0.977 +5341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.436421031,0.977 +5340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.054904752,0.977 +5342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.537946187,0.977 +5343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.203636356,0.977 +5344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,10.38988098,0.977 +5346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.868040594,0.977 +5345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.140326177,0.977 +5347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.61094987,0.977 +5348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.991185705,0.977 +5349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.610306427,0.977 +5350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.865617053,0.977 +5351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.673291087,0.977 +5352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.672423897,0.977 +5353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.462748538,0.977 +5355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.231025568,0.977 +5354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.773825705,0.977 +5356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.001177728,0.977 +5357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.067942076,0.977 +5358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.791027413,0.977 +5359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.613532257,0.977 +5360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.325587924,0.977 +5361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.737274698,0.977 +5362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.146318895,0.977 +5363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.375625328,0.977 +5364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.707370254,0.977 +5365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.35341183,0.977 +5366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.470375952,0.977 +5368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.484893492,0.977 +5369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.882333511,0.977 +5370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.60393031,0.977 +5371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.008127214,0.977 +5372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.970004514,0.977 +5373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.105264023,0.977 +5367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.497027209,0.977 +5375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.799764797,0.977 +5374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.521887952,0.977 +5376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.581073907,0.977 +5378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.697279283,0.977 +5379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.13591335,0.977 +5377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.826572992,0.977 +5380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.647463221,0.977 +5381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.992751803,0.977 +5382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.515504568,0.977 +5384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.325239178,0.977 +5383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.672668075,0.977 +5385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.890674833,0.977 +5386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.314011782,0.977 +5389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.203158258,0.977 +5387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.519360643,0.977 +5390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,10.61024017,0.977 +5388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.227091944,0.977 +5391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.058078124,0.977 +5392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.398039523,0.977 +5393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.175649525,0.977 +5395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.166808741,0.977 +5394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.045073495,0.977 +5396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.427421533,0.977 +5397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.030136547,0.977 +5398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.575205287,0.977 +5400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.001992383,0.977 +5401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.595247247,0.977 +5399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.39272273,0.977 +5402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.84965121,0.977 +5404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.38053073,0.977 +5403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,10.12030026,0.977 +5405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.261826081,0.977 +5406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.846518365,0.977 +5407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.835256024,0.977 +5408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.203026146,0.977 +5410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.7881341,0.977 +5409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.78880581,0.977 +5411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.095114205,0.977 +5412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,9.162507765,0.977 +5413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.591578808,0.977 +5414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.542093933,0.977 +5415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.988751763,0.977 +5416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.527110934,0.977 +5417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,13.10266933,0.977 +5418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.604263408,0.977 +5419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.581436422,0.977 +5420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.656780127,0.977 +5421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,11.90618076,0.977 +5423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.782201551,0.977 +5422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.13369369,0.977 +5424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.794294791,0.977 +5425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.010171393,0.977 +5426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.927383959,0.977 +5428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.369299296,0.977 +5427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.786454123,0.977 +5429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.346134266,0.977 +5430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.972972608,0.977 +5431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.46181344,0.977 +5432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.259105435,0.977 +5433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.670722812,0.977 +5434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.870563603,0.977 +5435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.178282321,0.977 +5437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.429923071,0.977 +5436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,11.54790862,0.977 +5438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.548859485,0.977 +5439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.393953858,0.977 +5440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.825373824,0.977 +5442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.195817808,0.977 +5443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.956459448,0.977 +5444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.536509764,0.977 +5445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.158321738,0.977 +5441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.585895124,0.977 +5446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.586947404,0.977 +5447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.929600884,0.977 +5448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.0487378,0.977 +5450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.494971898,0.977 +5451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.073394107,0.977 +5449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,9.058311627,0.977 +5452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.402110565,0.977 +5453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.031361773,0.977 +5454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.861009719,0.977 +5457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.573670272,0.977 +5455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.901396158,0.977 +5456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.870265195,0.977 +5458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.131757274,0.977 +5459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.965202418,0.977 +5460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.285375545,0.977 +5461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.852499927,0.977 +5462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.579049018,0.977 +5465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.312449572,0.977 +5463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.035932915,0.977 +5466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.072476757,0.977 +5467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.923111653,0.977 +5464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.212074189,0.977 +5468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.949779242,0.977 +5469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.639728248,0.977 +5471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.306366096,0.977 +5472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.39487103,0.977 +5470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.62662663,0.977 +5473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.944901206,0.977 +5474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,12.8268218,0.977 +5475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.079783322,0.977 +5476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.101509013,0.977 +5477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.979275465,0.977 +5479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,10.42637961,0.977 +5480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.546374053,0.977 +5478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.255572644,0.977 +5481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.664749085,0.977 +5482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.397405521,0.977 +5483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,-0.679519048,0.977 +5485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.1246852,0.977 +5487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.918039527,0.977 +5486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.925042205,0.977 +5484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.575722555,0.977 +5488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.166874881,0.977 +5490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.103152277,0.977 +5489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.848986637,0.977 +5492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,9.187407467,0.977 +5491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.050426605,0.977 +5493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.603497754,0.977 +5494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.492273036,0.977 +5495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.080895809,0.977 +5498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.165551281,0.977 +5496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.439376877,0.977 +5497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.24359794,0.977 +5499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.765659595,0.977 +5500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.01164381,0.977 +5501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.878644832,0.977 +5502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.389360982,0.977 +5503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.839853563,0.977 +5506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.855454149,0.977 +5507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,-0.412461429,0.977 +5505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.274895661,0.977 +5504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.919792377,0.977 +5508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.914409304,0.977 +5509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.537215509,0.977 +5511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,-0.076720935,0.977 +5510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.83718447,0.977 +5514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,10.17757913,0.977 +5512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.206200504,0.977 +5513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.211318443,0.977 +5515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.984741276,0.977 +5516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.173343621,0.977 +5518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.239259902,0.977 +5517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.356646559,0.977 +5519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,9.196904475,0.977 +5520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.617323509,0.977 +5521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.881161721,0.977 +5522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.337126033,0.977 +5525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.111179285,0.977 +5524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.695036908,0.977 +5523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.332364059,0.977 +5526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.621064785,0.977 +5527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,-0.252038494,0.977 +5528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.141561923,0.977 +5529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.502088274,0.977 +5530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.33358666,0.977 +5532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.842480604,0.977 +5531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.138842863,0.977 +5533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.876650357,0.977 +5534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.408240806,0.977 +5535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.564072832,0.977 +5536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.63400419,0.977 +5538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.818598306,0.977 +5537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.685553725,0.977 +5539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.758555001,0.977 +5540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.594881584,0.977 +5541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.431378118,0.977 +5542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.321492304,0.977 +5543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.225724935,0.977 +5544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.117738187,0.977 +5545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,-0.024552495,0.977 +5546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.712653347,0.977 +5547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,-1.091048419,0.977 +5548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.275146872,0.977 +5549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,-0.073145814,0.977 +5551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.360760018,0.977 +5552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.274246391,0.977 +5553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.480915319,0.977 +5554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.588053788,0.977 +5550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.577677781,0.977 +5555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.547327332,0.977 +5556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.526497784,0.977 +5557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.724565651,0.977 +5559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.56046294,0.977 +5560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.406856709,0.977 +5561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.641676941,0.977 +5558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.221776624,0.977 +5562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.508095697,0.977 +5564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.678854353,0.977 +5563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.280865352,0.977 +5565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.193653715,0.977 +5566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.106285333,0.977 +5567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.593097509,0.977 +5568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.754635319,0.977 +5569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.586094421,0.977 +5570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.053551317,0.977 +5571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.967994208,0.977 +5572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.968696699,0.977 +5574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.571607132,0.977 +5575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.804888167,0.977 +5576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.585329517,0.977 +5577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.74002259,0.977 +5573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.16463493,0.977 +5578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.176803059,0.977 +5581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.752776183,0.977 +5579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.501577492,0.977 +5582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.600979116,0.977 +5580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.718225061,0.977 +5584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.244214622,0.977 +5583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.889400048,0.977 +5585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.427587407,0.977 +5586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.60774005,0.977 +5587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.334121578,0.977 +5589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.366920304,0.977 +5590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.328935529,0.977 +5591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.472007594,0.977 +5593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.419876476,0.977 +5588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,-0.875722341,0.977 +5592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.325538496,0.977 +5594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,12.85482398,0.977 +5596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.607498401,0.977 +5595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.962349654,0.977 +5597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.5339289,0.977 +5598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,9.218852572,0.977 +5600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.221906691,0.977 +5599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.511730685,0.977 +5601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.253290999,0.977 +5602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.130801675,0.977 +5603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.618208282,0.977 +5605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.948173907,0.977 +5606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.667586706,0.977 +5607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.725371601,0.977 +5608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.302662886,0.977 +5609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.584315808,0.977 +5604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.204670017,0.977 +5610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.221558279,0.977 +5612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.349712737,0.977 +5611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.505764139,0.977 +5613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.830077296,0.977 +5615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.933846642,0.977 +5616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.842324673,0.977 +5614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.453811351,0.977 +5617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.240427688,0.977 +5618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.809738788,0.977 +5619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.289357619,0.977 +5620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.475670751,0.977 +5622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.141367227,0.977 +5621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.880518929,0.977 +5623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.832313738,0.977 +5624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,-0.236950129,0.977 +5626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.809616864,0.977 +5625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.750305817,0.977 +5627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.72120677,0.977 +5629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.982398469,0.977 +5630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.25436589,0.977 +5631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.420907917,0.977 +5632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.473728754,0.977 +5633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.33786967,0.977 +5634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.220318084,0.977 +5636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.776747371,0.977 +5635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.123871647,0.977 +5637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.403744776,0.977 +5639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.660896268,0.977 +5628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.303202183,0.977 +5638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.319674114,0.977 +5640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.202753508,0.977 +5641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.572643425,0.977 +5642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.882633129,0.977 +5643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.203962634,0.977 +5644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.195546152,0.977 +5646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.98223231,0.977 +5645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.733447418,0.977 +5647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.608583033,0.977 +5648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.626483865,0.977 +5650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.186524307,0.977 +5651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,10.93855525,0.977 +5652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.597192269,0.977 +5653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.961660247,0.977 +5649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.966269421,0.977 +5654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.40353261,0.977 +5655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.862788766,0.977 +5656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.575124481,0.977 +5658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.161049886,0.977 +5657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.130736989,0.977 +5660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.427761052,0.977 +5659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.337844267,0.977 +5661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.003928718,0.977 +5662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.02036543,0.977 +5663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.362324619,0.977 +5665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.146517062,0.977 +5664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.831468336,0.977 +5666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.976828969,0.977 +5667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.947087487,0.977 +5668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.633620407,0.977 +5669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.022624305,0.977 +5670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.788669104,0.977 +5673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.964281043,0.977 +5671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.109237139,0.977 +5672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.613072487,0.977 +5674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.834649186,0.977 +5675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.831162452,0.977 +5676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.4110688,0.977 +5677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.083383882,0.977 +5679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.860912308,0.977 +5678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.77822666,0.977 +5680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.340325523,0.977 +5681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.266811394,0.977 +5683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.137496411,0.977 +5682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.975154557,0.977 +5685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.485857511,0.977 +5684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,10.60144466,0.977 +5687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.560619506,0.977 +5688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.907211661,0.977 +5686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,9.439926097,0.977 +5690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.413981418,0.977 +5689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.496123136,0.977 +5691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.78150872,0.977 +5692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.755428311,0.977 +5693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.857899312,0.977 +5695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.725728525,0.977 +5697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.621716097,0.977 +5696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.325630737,0.977 +5698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.631548885,0.977 +5694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.210626113,0.977 +5700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.482500884,0.977 +5702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.727977705,0.977 +5699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.697001608,0.977 +5701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.754373333,0.977 +5703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.223778919,0.977 +5705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.034539813,0.977 +5704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.599397314,0.977 +5706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.168243784,0.977 +5707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.477728033,0.977 +5708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.739801375,0.977 +5710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.987383527,0.977 +5709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.041760866,0.977 +5711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.821538878,0.977 +5712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.822056202,0.977 +5713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.025627524,0.977 +5715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.688016783,0.977 +5714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.079665646,0.977 +5717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.0980569,0.977 +5716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.620102594,0.977 +5718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.157169516,0.977 +5719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,11.00173266,0.977 +5720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.511724697,0.977 +5721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.426338663,0.977 +5723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.829733125,0.977 +5722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.006851457,0.977 +5724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.824605617,0.977 +5725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.442272018,0.977 +5726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.703490805,0.977 +5727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.268090816,0.977 +5728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.146178303,0.977 +5729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.610368516,0.977 +5731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.488765991,0.977 +5733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.498473006,0.977 +5732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.971764697,0.977 +5730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.431285592,0.977 +5735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,9.409056125,0.977 +5736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.008851143,0.977 +5734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.613213064,0.977 +5737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.552305345,0.977 +5738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,10.20262908,0.977 +5739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.776948444,0.977 +5741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.497989974,0.977 +5740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.244281498,0.977 +5743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.842462531,0.977 +5742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,-0.756621203,0.977 +5744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.959048596,0.977 +5745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.608323222,0.977 +5747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.01141117,0.977 +5746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.97575479,0.977 +5748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.129799273,0.977 +5750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.738340383,0.977 +5752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.171678361,0.977 +5749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.488343811,0.977 +5753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,9.03800702,0.977 +5754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.964908061,0.977 +5751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.86250145,0.977 +5755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.237971069,0.977 +5756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.212450005,0.977 +5757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.516129878,0.977 +5759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,-0.927209906,0.977 +5760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.002399012,0.977 +5758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.624904421,0.977 +5762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.503172369,0.977 +5764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,9.092234607,0.977 +5761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.254403062,0.977 +5763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.39817964,0.977 +5766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.897780123,0.977 +5767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.580349528,0.977 +5768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.074719056,0.977 +5770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.130565174,0.977 +5765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.469284094,0.977 +5771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.724081374,0.977 +5772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.141850638,0.977 +5774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.460656791,0.977 +5773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.768482568,0.977 +5775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.250567684,0.977 +5769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.949259203,0.977 +5779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.831209384,0.977 +5777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.87786453,0.977 +5776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.073503362,0.977 +5778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.327875188,0.977 +5780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.840911408,0.977 +5782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.264436563,0.977 +5781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,-0.967794983,0.977 +5783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.351536335,0.977 +5784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.14909179,0.977 +5785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.44339143,0.977 +5787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.443225131,0.977 +5788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.335238991,0.977 +5789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.830828701,0.977 +5790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.804529058,0.977 +5786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,9.018159759,0.977 +5791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.730694595,0.977 +5795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.080794469,0.977 +5794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.694011617,0.977 +5792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.409266909,0.977 +5793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.04149463,0.977 +5796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.895770571,0.977 +5797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.588722264,0.977 +5798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,9.628419384,0.977 +5799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.009183749,0.977 +5800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.435112819,0.977 +5801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.096250885,0.977 +5802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,11.92927485,0.977 +5803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.73727146,0.977 +5806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.727670896,0.977 +5807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.993752771,0.977 +5805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.121891539,0.977 +5804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.997999526,0.977 +5811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.73127235,0.977 +5810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.862382498,0.977 +5808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.704709338,0.977 +5809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.939833666,0.977 +5812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.527425162,0.977 +5815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.281209686,0.977 +5814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.275197775,0.977 +5813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.074829273,0.977 +5816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.465067313,0.977 +5818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.932890705,0.977 +5817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.035509209,0.977 +5819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,9.307294393,0.977 +5821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.026001873,0.977 +5822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.545982082,0.977 +5820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,-0.204643093,0.977 +5826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.43758443,0.977 +5823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.24844206,0.977 +5825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.297292034,0.977 +5824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.326149642,0.977 +5827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.986339445,0.977 +5829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.419220099,0.977 +5828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.893662041,0.977 +5830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,10.34093504,0.977 +5831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.505418348,0.977 +5832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.685984889,0.977 +5834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,12.79827912,0.977 +5833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.235269698,0.977 +5836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.872124301,0.977 +5837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.288840696,0.977 +5835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.352339165,0.977 +5838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.117849166,0.977 +5841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.440347294,0.977 +5839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.20160631,0.977 +5840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.873680355,0.977 +5843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.643682233,0.977 +5842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.459702377,0.977 +5844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.509981782,0.977 +5845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.11141222,0.977 +5846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,10.01412929,0.977 +5847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.223133441,0.977 +5848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.349538201,0.977 +5849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,-0.691777793,0.977 +5852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.798124165,0.977 +5853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.268392972,0.977 +5851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,-2.651547554,0.977 +5854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,11.96631799,0.977 +5850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.556184286,0.977 +5858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.587281155,0.977 +5855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.142437466,0.977 +5856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.823824265,0.977 +5857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.662688423,0.977 +5860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.576307513,0.977 +5859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.784350233,0.977 +5862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.989024631,0.977 +5861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.09258208,0.977 +5863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.076998735,0.977 +5864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.300165647,0.977 +5865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.470295296,0.977 +5866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.493706914,0.977 +5867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.93619366,0.977 +5869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.693359052,0.977 +5870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.176213444,0.977 +5868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.843064749,0.977 +5871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,9.826648931,0.977 +5872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,10.60279587,0.977 +5873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.09985747,0.977 +5874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.958542998,0.977 +5875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.322633144,0.977 +5877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,9.301683709,0.977 +5878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.371702715,0.977 +5876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.062811162,0.977 +5879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.941970737,0.977 +5880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.819015205,0.977 +5881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.338462937,0.977 +5883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.770495381,0.977 +5882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.570913414,0.977 +5884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.39290914,0.977 +5886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.004225608,0.977 +5887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.141870661,0.977 +5885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.603968052,0.977 +5888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.256780297,0.977 +5889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.379024158,0.977 +5891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.514381192,0.977 +5892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.617594253,0.977 +5893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.47427122,0.977 +5894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.355607798,0.977 +5890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.637766087,0.977 +5895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.055846047,0.977 +5896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.512835505,0.977 +5897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.678655926,0.977 +5899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.557718111,0.977 +5898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.903570762,0.977 +5900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.061194721,0.977 +5901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.393131422,0.977 +5903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.085796849,0.977 +5902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.067335348,0.977 +5904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.274897147,0.977 +5905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.252544799,0.977 +5906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.914297845,0.977 +5907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.787256588,0.977 +5908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.209595251,0.977 +5909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.027098912,0.977 +5911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,10.72708339,0.977 +5912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.862309359,0.977 +5913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.293394711,0.977 +5914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.329763951,0.977 +5910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.80796404,0.977 +5915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.85756244,0.977 +5916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,9.1227875,0.977 +5917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.937693811,0.977 +5918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.214101013,0.977 +5919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,10.59522331,0.977 +5920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.552797032,0.977 +5921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.815218058,0.977 +5923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.214337011,0.977 +5924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.690105464,0.977 +5922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.695178276,0.977 +5925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.312603608,0.977 +5926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.351274134,0.977 +5927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.539427403,0.977 +5928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.830087934,0.977 +5929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.956429174,0.977 +5930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.067557224,0.977 +5934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.3781951,0.977 +5932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.589237857,0.977 +5931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.746724905,0.977 +5933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.866009891,0.977 +5935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.54000791,0.977 +5936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.841807314,0.977 +5937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,11.50892665,0.977 +5938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,9.418024214,0.977 +5939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.622706932,0.977 +5941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,13.41684505,0.977 +5940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.507496238,0.977 +5942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.492588671,0.977 +5943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.269930059,0.977 +5944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.526827598,0.977 +5946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.971516736,0.977 +5945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.636973315,0.977 +5948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,10.53980666,0.977 +5947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.883086794,0.977 +5949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.479603797,0.977 +5950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.870961352,0.977 +5952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.943869526,0.977 +5951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.841029503,0.977 +5953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.287608065,0.977 +5955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.674825049,0.977 +5956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.951288372,0.977 +5954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.282690883,0.977 +5957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.184625549,0.977 +5958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.17548906,0.977 +5959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.258600084,0.977 +5961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.689661446,0.977 +5960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.187148297,0.977 +5962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.787886973,0.977 +5963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.160616299,0.977 +5964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.191433318,0.977 +5965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.291891476,0.977 +5966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.356817769,0.977 +5967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.009433079,0.977 +5968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.86070215,0.977 +5969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.940674664,0.977 +5970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.256654168,0.977 +5971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.455390841,0.977 +5972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.182019136,0.977 +5973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.948104733,0.977 +5974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.821172897,0.977 +5975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.267917858,0.977 +5976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.411154887,0.977 +5977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.250881463,0.977 +5978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.080380746,0.977 +5979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,0.73537243,0.977 +5980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,3.809046284,0.977 +5981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.504615398,0.977 +5982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.468160163,0.977 +5983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.564251135,0.977 +5984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,8.393616902,0.977 +5985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.938000111,0.977 +5988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.058124971,0.977 +5986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,6.49242887,0.977 +5987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,9.674908518,0.977 +5990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.299226216,0.977 +5989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.065746808,0.977 +5991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,2.248733102,0.977 +5992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,4.670340605,0.977 +5993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,7.081473458,0.977 +5995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,9.198890148,0.977 +5996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.906071644,0.977 +5997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,10.20269425,0.977 +5998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,10.58269902,0.977 +5999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,1.491850005,0.977 +6000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.584188994,0.977 +5994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,6,1,5.598163589,0.977 +15001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.029279235,0.992 +15003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.086049502,0.992 +15002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.996786211,0.992 +15004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.795193086,0.992 +15005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.824003461,0.992 +15007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.174873877,0.992 +15006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.109670746,0.992 +15009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,0.506181125,0.992 +15011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.032065159,0.992 +15010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.503511677,0.992 +15012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.05286765,0.992 +15013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.34966935,0.992 +15008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.434043436,0.992 +15014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.82478079,0.992 +15015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.022766394,0.992 +15016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.425471726,0.992 +15018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.861888685,0.992 +15019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.22749398,0.992 +15017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.330775063,0.992 +15020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.873172395,0.992 +15022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.455982842,0.992 +15023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.715591401,0.992 +15024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.272216262,0.992 +15021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.990408468,0.992 +15027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.867465166,0.992 +15025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.370397871,0.992 +15026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.921217739,0.992 +15028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.835507135,0.992 +15030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.962042631,0.992 +15032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.024694717,0.992 +15029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.850567224,0.992 +15033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,0.099040527,0.992 +15031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.006870299,0.992 +15034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.772966082,0.992 +15035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.819092981,0.992 +15036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.993916646,0.992 +15039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.477298777,0.992 +15037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.086850263,0.992 +15038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.036775182,0.992 +15040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.708823745,0.992 +15041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.287186916,0.992 +15042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.0388137,0.992 +15043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.150479686,0.992 +15044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.726719897,0.992 +15046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.607806038,0.992 +15047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.226270544,0.992 +15048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.040452802,0.992 +15045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.974445783,0.992 +15050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.15053306,0.992 +15051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.521702413,0.992 +15052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.460702677,0.992 +15053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.388290894,0.992 +15049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.904059938,0.992 +15055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.982856363,0.992 +15054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.58066239,0.992 +15057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.729935782,0.992 +15056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.769887269,0.992 +15058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.213348529,0.992 +15059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.579354031,0.992 +15060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,0.551754306,0.992 +15061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.972639244,0.992 +15063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,9.007581669,0.992 +15064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.346876548,0.992 +15065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,9.988160545,0.992 +15066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.911324029,0.992 +15062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.643920039,0.992 +15068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.409003833,0.992 +15070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.53564897,0.992 +15067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.312646331,0.992 +15069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.641532031,0.992 +15072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.047276155,0.992 +15071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.786507568,0.992 +15073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.164622212,0.992 +15074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.626405032,0.992 +15075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.098034863,0.992 +15076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.961313591,0.992 +15078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.57186692,0.992 +15077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.616375658,0.992 +15080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.780537297,0.992 +15081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.977698235,0.992 +15083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.686921331,0.992 +15079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.198210439,0.992 +15082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.464770991,0.992 +15084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.988055778,0.992 +15086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.333085628,0.992 +15085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.293297933,0.992 +15088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.030849371,0.992 +15087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.845886387,0.992 +15089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.065981811,0.992 +15090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.438178137,0.992 +15091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.220784554,0.992 +15092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,0.70167262,0.992 +15093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.736815346,0.992 +15094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.697670078,0.992 +15095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.09445032,0.992 +15098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.003949842,0.992 +15096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.753148273,0.992 +15097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.445038535,0.992 +15099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.175925748,0.992 +15100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.222460523,0.992 +15101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.0315695,0.992 +15102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.356260524,0.992 +15103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.697270109,0.992 +15104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.328705063,0.992 +15106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.357377586,0.992 +15105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,9.604059835,0.992 +15107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.372665999,0.992 +15109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,-2.576476279,0.992 +15108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.404063568,0.992 +15111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.292578491,0.992 +15110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.039048089,0.992 +15113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.62074753,0.992 +15114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.999590265,0.992 +15112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.392159325,0.992 +15115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.309392876,0.992 +15117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.964927325,0.992 +15116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.144771228,0.992 +15118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.994001448,0.992 +15119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.917606997,0.992 +15120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.453160662,0.992 +15121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.278510773,0.992 +15122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,0.673467711,0.992 +15123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.714437672,0.992 +15124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.667560967,0.992 +15125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.044742707,0.992 +15126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.966941938,0.992 +15127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.811079848,0.992 +15129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.440343764,0.992 +15128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.788005683,0.992 +15130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.212965997,0.992 +15131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.204290171,0.992 +15133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.713805468,0.992 +15132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.229595846,0.992 +15134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,-0.176142859,0.992 +15135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.214637569,0.992 +15136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.70949902,0.992 +15137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.340254688,0.992 +15138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.845226299,0.992 +15140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.830368266,0.992 +15141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.388965925,0.992 +15139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.467893816,0.992 +15142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.23156019,0.992 +15143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.381119415,0.992 +15144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.654106697,0.992 +15145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.157833932,0.992 +15148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.860342262,0.992 +15146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.106394107,0.992 +15149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.37699093,0.992 +15150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.258682173,0.992 +15151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.938467751,0.992 +15152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.106712634,0.992 +15147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.006906232,0.992 +15153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,0.961576379,0.992 +15154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.970055305,0.992 +15155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.074541154,0.992 +15157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.945577915,0.992 +15156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.924812728,0.992 +15158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.977916028,0.992 +15159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,10.45420512,0.992 +15161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.726516916,0.992 +15160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.584844993,0.992 +15162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,10.7746464,0.992 +15163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.097347988,0.992 +15164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.449724804,0.992 +15165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.383203384,0.992 +15166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.053576333,0.992 +15167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,9.133946681,0.992 +15169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.529098393,0.992 +15170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.513127731,0.992 +15171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.637061034,0.992 +15168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,9.394951999,0.992 +15172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.949717492,0.992 +15173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.748689313,0.992 +15174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.181893372,0.992 +15176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.37768166,0.992 +15178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.904164017,0.992 +15177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,11.38358015,0.992 +15175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.877592544,0.992 +15179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.168907214,0.992 +15180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.614227548,0.992 +15181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.664033054,0.992 +15182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,0.657771068,0.992 +15183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.145737799,0.992 +15184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,11.0131452,0.992 +15185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.594860915,0.992 +15186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.990602367,0.992 +15188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.006531704,0.992 +15190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.005013553,0.992 +15189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.336045721,0.992 +15187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.720494231,0.992 +15191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.071467614,0.992 +15192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.743809479,0.992 +15193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.308928957,0.992 +15195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.445641081,0.992 +15194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.292157039,0.992 +15196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.611609654,0.992 +15197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,9.733948493,0.992 +15198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.434756413,0.992 +15199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.165964202,0.992 +15200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.981823462,0.992 +15201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.332389406,0.992 +15202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.269823458,0.992 +15204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.34088479,0.992 +15203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.05551956,0.992 +15205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.864889786,0.992 +15206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.305265464,0.992 +15207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.33850132,0.992 +15209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.859402087,0.992 +15210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.099706902,0.992 +15208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.99796465,0.992 +15211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.208467235,0.992 +15212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.596100444,0.992 +15213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.886604342,0.992 +15214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,9.873291029,0.992 +15215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.820220428,0.992 +15216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.26023321,0.992 +15217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.259363097,0.992 +15218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.853423336,0.992 +15219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.666167154,0.992 +15220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.642711445,0.992 +15221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.448004717,0.992 +15223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.742369337,0.992 +15224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.409628315,0.992 +15222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.856553455,0.992 +15225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,-0.177300899,0.992 +15226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.673622729,0.992 +15227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.718576309,0.992 +15228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.878334849,0.992 +15229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.197983797,0.992 +15231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.721622599,0.992 +15230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.980255352,0.992 +15232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.850639054,0.992 +15233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.974541416,0.992 +15234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.03999613,0.992 +15235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.295271717,0.992 +15236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.397184305,0.992 +15237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.909579816,0.992 +15239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.800500499,0.992 +15238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.03095957,0.992 +15240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.214398221,0.992 +15241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,0.361103575,0.992 +15242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,9.528530243,0.992 +15243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,9.289581449,0.992 +15244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,0.829120808,0.992 +15245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.387182183,0.992 +15246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.063759228,0.992 +15247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.305707615,0.992 +15248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.768014243,0.992 +15249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.943373445,0.992 +15250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,9.494708571,0.992 +15251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.092241256,0.992 +15252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.827447341,0.992 +15254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.647193462,0.992 +15253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.237774076,0.992 +15255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.337357093,0.992 +15256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.597860931,0.992 +15257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.584481948,0.992 +15258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.180609465,0.992 +15259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.860896704,0.992 +15260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.727420287,0.992 +15261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.752161247,0.992 +15262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.071296314,0.992 +15263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.571560417,0.992 +15265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.40515251,0.992 +15266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.671045898,0.992 +15264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,0.88427388,0.992 +15267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.541055296,0.992 +15268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.305943403,0.992 +15269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.626679224,0.992 +15270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.651851129,0.992 +15272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.531088442,0.992 +15273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.970069928,0.992 +15274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.909884665,0.992 +15275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.252568102,0.992 +15276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.030288047,0.992 +15271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.730517009,0.992 +15277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.038428898,0.992 +15278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,11.60224207,0.992 +15279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.864862109,0.992 +15280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.877218668,0.992 +15282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.829480614,0.992 +15281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,-0.15189762,0.992 +15284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.390861702,0.992 +15283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.436127967,0.992 +15285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.520766917,0.992 +15286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,9.745787874,0.992 +15287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.424485177,0.992 +15288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.396700293,0.992 +15289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.887627528,0.992 +15292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.856884509,0.992 +15290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.067263736,0.992 +15293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.727692236,0.992 +15294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,0.420810498,0.992 +15291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.357483261,0.992 +15296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,0.378962905,0.992 +15295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.319231584,0.992 +15297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.415360842,0.992 +15298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.272774966,0.992 +15300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.524297738,0.992 +15299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,11.12348822,0.992 +15301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.262398226,0.992 +15302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.096517234,0.992 +15304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.568664532,0.992 +15305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.522555583,0.992 +15303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.633996746,0.992 +15306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.203609605,0.992 +15307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.533636643,0.992 +15308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.728074312,0.992 +15309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.606739031,0.992 +15311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.851292934,0.992 +15310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.889628335,0.992 +15312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.896843918,0.992 +15313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.08861899,0.992 +15315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.799637992,0.992 +15317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.700665773,0.992 +15314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.161457185,0.992 +15316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,0.400801936,0.992 +15318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.16529994,0.992 +15320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.63694607,0.992 +15319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.572260381,0.992 +15321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.463280425,0.992 +15322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.917732525,0.992 +15323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.233064443,0.992 +15325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.551286129,0.992 +15324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.35691142,0.992 +15327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.347022706,0.992 +15328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.731053688,0.992 +15326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,9.359251995,0.992 +15329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.592270051,0.992 +15330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.923177133,0.992 +15331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.390173394,0.992 +15332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.469600979,0.992 +15334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.162970855,0.992 +15333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.619570814,0.992 +15335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.471452443,0.992 +15336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.783797274,0.992 +15337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.406488937,0.992 +15338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.630285883,0.992 +15339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.01468391,0.992 +15340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,9.121535617,0.992 +15341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.682196309,0.992 +15342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.625258611,0.992 +15343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.397226891,0.992 +15344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.134244926,0.992 +15345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.114098904,0.992 +15346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.098256853,0.992 +15347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.386046884,0.992 +15348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.433227398,0.992 +15349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.210961066,0.992 +15351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.679037309,0.992 +15350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,11.11785668,0.992 +15352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.375660904,0.992 +15353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.752837932,0.992 +15354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.218395134,0.992 +15355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.24102866,0.992 +15356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.629816539,0.992 +15357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.652727672,0.992 +15358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.786291241,0.992 +15359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,0.891080629,0.992 +15360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.270425694,0.992 +15361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.431056259,0.992 +15362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.336111184,0.992 +15364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.585153186,0.992 +15365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.187926008,0.992 +15366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.109783387,0.992 +15367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.691173207,0.992 +15368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.396431403,0.992 +15363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.072257597,0.992 +15369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.221895386,0.992 +15370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,9.168382444,0.992 +15371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.120987522,0.992 +15372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.532451364,0.992 +15373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.164391962,0.992 +15374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.247143285,0.992 +15375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.994301682,0.992 +15376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.569860324,0.992 +15378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.756888995,0.992 +15377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.160729595,0.992 +15379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.509206765,0.992 +15380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.301454337,0.992 +15381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.172952444,0.992 +15383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.893460591,0.992 +15384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.49353628,0.992 +15385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.609265093,0.992 +15382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.806164691,0.992 +15386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.47909233,0.992 +15388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.70458927,0.992 +15387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.04649231,0.992 +15389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.146041494,0.992 +15392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,0.367892863,0.992 +15390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.815292142,0.992 +15391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.805614288,0.992 +15393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.692606795,0.992 +15395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.389416977,0.992 +15396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.202163219,0.992 +15394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.194985866,0.992 +15397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.163855651,0.992 +15398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.912413985,0.992 +15399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.063395296,0.992 +15400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.398449061,0.992 +15402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.23898712,0.992 +15403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.247088601,0.992 +15404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.484397855,0.992 +15401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.247615866,0.992 +15407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.566228609,0.992 +15405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.176616143,0.992 +15406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.313943966,0.992 +15408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.938035207,0.992 +15409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.635902659,0.992 +15410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.78285447,0.992 +15411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.607263797,0.992 +15412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.224328809,0.992 +15414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.828920009,0.992 +15415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.650965929,0.992 +15417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.304632462,0.992 +15418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,10.07610418,0.992 +15413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.554679463,0.992 +15420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.956288021,0.992 +15421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.517830358,0.992 +15416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.033919841,0.992 +15419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.270919049,0.992 +15423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.113109761,0.992 +15424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.241199483,0.992 +15422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.718940864,0.992 +15425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.477440808,0.992 +15426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.340853787,0.992 +15428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.15731287,0.992 +15427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.319332929,0.992 +15429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,10.35805512,0.992 +15431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.119042122,0.992 +15432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,11.49630365,0.992 +15430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.64362804,0.992 +15433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.539077688,0.992 +15434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.153326163,0.992 +15436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.038527228,0.992 +15438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.48422757,0.992 +15437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.960003645,0.992 +15435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,-0.672645308,0.992 +15439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.725930573,0.992 +15441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.198394392,0.992 +15440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.635116362,0.992 +15442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.242335858,0.992 +15443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.73198632,0.992 +15444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.214390401,0.992 +15445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.050944092,0.992 +15446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.107882308,0.992 +15448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.542810321,0.992 +15449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.034083076,0.992 +15447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.147860781,0.992 +15450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.550389836,0.992 +15453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,0.647078978,0.992 +15452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.811077007,0.992 +15451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.668320238,0.992 +15454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.924464178,0.992 +15455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.323753371,0.992 +15457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.937266412,0.992 +15456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.809882282,0.992 +15459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.955079816,0.992 +15458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.991967704,0.992 +15460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,12.35093131,0.992 +15461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.494387914,0.992 +15464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.2782419,0.992 +15465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.240021862,0.992 +15463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.430498278,0.992 +15462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.176557983,0.992 +15466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.023481985,0.992 +15467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.082041955,0.992 +15469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.744181015,0.992 +15468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,0.50038253,0.992 +15470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.880201988,0.992 +15472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.550167432,0.992 +15471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.238917849,0.992 +15473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.497374409,0.992 +15474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.647445047,0.992 +15475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.799457282,0.992 +15476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.133276668,0.992 +15477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.616185524,0.992 +15478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.607276671,0.992 +15480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.639234926,0.992 +15481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.221409144,0.992 +15482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.412619319,0.992 +15479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.960170398,0.992 +15483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.465314254,0.992 +15486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,9.19897533,0.992 +15485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.445923248,0.992 +15487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.552785916,0.992 +15488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.38515513,0.992 +15489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.430410162,0.992 +15484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.202268748,0.992 +15490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.443456438,0.992 +15491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.580852361,0.992 +15492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.243622311,0.992 +15494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.60890544,0.992 +15493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.396943737,0.992 +15496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.734121813,0.992 +15495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.833806117,0.992 +15497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.891295063,0.992 +15499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.067127494,0.992 +15500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.266152206,0.992 +15498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.970925842,0.992 +15502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.843868788,0.992 +15501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.736260166,0.992 +15503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.857189775,0.992 +15504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,9.67805806,0.992 +15506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.719092057,0.992 +15505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.643415464,0.992 +15507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.83269778,0.992 +15509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.232213014,0.992 +15510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.797823684,0.992 +15508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.396413764,0.992 +15511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.087885901,0.992 +15512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.630373535,0.992 +15513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.879458877,0.992 +15515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.216160845,0.992 +15514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.254357588,0.992 +15516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,9.579812109,0.992 +15517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.155325706,0.992 +15518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.955329888,0.992 +15519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.207880899,0.992 +15520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,9.362799271,0.992 +15522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.888237578,0.992 +15521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.541387808,0.992 +15524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,10.81523399,0.992 +15525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.57907974,0.992 +15526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.700616487,0.992 +15523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.715713255,0.992 +15527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.914769196,0.992 +15529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.463746114,0.992 +15530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.853994904,0.992 +15528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.160244279,0.992 +15532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.300878001,0.992 +15531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.872116636,0.992 +15533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.030617192,0.992 +15534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.73289484,0.992 +15536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.177346424,0.992 +15535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.689811736,0.992 +15537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.896790604,0.992 +15538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.725228356,0.992 +15539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.241487848,0.992 +15540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,11.76816827,0.992 +15542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.830261721,0.992 +15543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.136571547,0.992 +15544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.43150265,0.992 +15541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.324755392,0.992 +15545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.585096835,0.992 +15546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.403693898,0.992 +15547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.457863565,0.992 +15549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.377366256,0.992 +15548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.394376562,0.992 +15550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.863826426,0.992 +15551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.938909244,0.992 +15552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,-0.209107512,0.992 +15553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.699373474,0.992 +15554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.048433293,0.992 +15555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.872108122,0.992 +15556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,0.766640044,0.992 +15558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.742601035,0.992 +15557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.387532379,0.992 +15559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.682359072,0.992 +15560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.522960377,0.992 +15561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.152544611,0.992 +15564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.980985776,0.992 +15565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,9.130039209,0.992 +15563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.183786243,0.992 +15562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.32292034,0.992 +15566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.311073539,0.992 +15568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.188557082,0.992 +15567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.767258794,0.992 +15569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.082868231,0.992 +15570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.843224649,0.992 +15571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.016845144,0.992 +15572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.419481487,0.992 +15573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.96166027,0.992 +15575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.514265853,0.992 +15574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,9.207111131,0.992 +15576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.413402584,0.992 +15578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.149345224,0.992 +15579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.95082778,0.992 +15577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.647712353,0.992 +15580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.241647232,0.992 +15581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.30818257,0.992 +15582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.802228157,0.992 +15584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.35955079,0.992 +15583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.009231181,0.992 +15585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,10.08982495,0.992 +15586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,12.1914831,0.992 +15587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.198052379,0.992 +15589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.241568974,0.992 +15588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.097972903,0.992 +15590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.101831446,0.992 +15591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.246289038,0.992 +15592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.631065693,0.992 +15593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.756335107,0.992 +15594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.800343857,0.992 +15595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.73012988,0.992 +15596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.774914366,0.992 +15598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.699362731,0.992 +15599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.408263503,0.992 +15600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,0.252807073,0.992 +15597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.960299862,0.992 +15601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.794256563,0.992 +15602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,9.204391159,0.992 +15603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.03587358,0.992 +15604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.708411,0.992 +15605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.623874637,0.992 +15606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.921087962,0.992 +15607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,0.843922034,0.992 +15608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.853369397,0.992 +15609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.826054248,0.992 +15610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.473373461,0.992 +15612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.428128873,0.992 +15611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.206678147,0.992 +15613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.904400718,0.992 +15614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.569460226,0.992 +15615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.48837796,0.992 +15617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.596556119,0.992 +15618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.594669361,0.992 +15619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.841657674,0.992 +15616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.357735308,0.992 +15620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.696669138,0.992 +15621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,10.47774878,0.992 +15622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.032691592,0.992 +15623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.41458361,0.992 +15624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.296818356,0.992 +15625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.164158966,0.992 +15626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.776679496,0.992 +15627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.692765612,0.992 +15628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.137467235,0.992 +15629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.017511419,0.992 +15630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,0.494863627,0.992 +15632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.052116759,0.992 +15631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.855725323,0.992 +15633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.635803696,0.992 +15635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.595428064,0.992 +15636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.089485633,0.992 +15634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.351099411,0.992 +15637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,0.159368852,0.992 +15638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,10.04809526,0.992 +15640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.761360637,0.992 +15639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.510470265,0.992 +15641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.260866333,0.992 +15642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.279916728,0.992 +15644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.485356634,0.992 +15645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.815146588,0.992 +15643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.39153043,0.992 +15647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.985073733,0.992 +15646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.831525443,0.992 +15648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.130120021,0.992 +15649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.189606123,0.992 +15651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.293355787,0.992 +15650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.958146471,0.992 +15652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,9.371622752,0.992 +15653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.089861833,0.992 +15654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.199166265,0.992 +15655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.567998069,0.992 +15656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.656153465,0.992 +15658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.046374038,0.992 +15659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.273154956,0.992 +15657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.570882183,0.992 +15660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.559172903,0.992 +15661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.75612883,0.992 +15662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.28807829,0.992 +15663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.849879435,0.992 +15664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.710670653,0.992 +15665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.842305811,0.992 +15666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.220315092,0.992 +15668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,9.405919921,0.992 +15669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.100193782,0.992 +15670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.352093542,0.992 +15672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.809351008,0.992 +15671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.977802701,0.992 +15673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.699756421,0.992 +15674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.462706605,0.992 +15675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.790442709,0.992 +15667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.526977673,0.992 +15676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.108236762,0.992 +15677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.348414794,0.992 +15678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.315168131,0.992 +15681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.546838119,0.992 +15682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.78205795,0.992 +15680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,10.36643413,0.992 +15679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.4990492,0.992 +15684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.259382754,0.992 +15685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.536114898,0.992 +15683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.233017951,0.992 +15686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.558464594,0.992 +15687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.465180307,0.992 +15688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.301114035,0.992 +15689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.558206876,0.992 +15690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.40106889,0.992 +15691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.470936566,0.992 +15693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.474389721,0.992 +15694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.098707409,0.992 +15696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.914778268,0.992 +15692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.761462991,0.992 +15695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.802542393,0.992 +15697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.275053216,0.992 +15699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.614327461,0.992 +15700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.708501048,0.992 +15698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.56762384,0.992 +15701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,11.39446399,0.992 +15702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.542869976,0.992 +15703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.634428917,0.992 +15704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.082460603,0.992 +15705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.36666346,0.992 +15707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,12.12046878,0.992 +15708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.457178122,0.992 +15709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.997558764,0.992 +15706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.833215399,0.992 +15710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,9.443131947,0.992 +15711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,9.873521392,0.992 +15713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.932996855,0.992 +15712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.099161603,0.992 +15714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,13.29347015,0.992 +15715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.208602082,0.992 +15716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.443822765,0.992 +15717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.519795774,0.992 +15718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.091338907,0.992 +15719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,9.052726111,0.992 +15720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.984109675,0.992 +15723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.631133029,0.992 +15722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.882796638,0.992 +15721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.551505379,0.992 +15724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.181282678,0.992 +15726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.113978475,0.992 +15725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.247402711,0.992 +15728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.952138238,0.992 +15727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.794551223,0.992 +15729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,9.437256582,0.992 +15730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.336262724,0.992 +15732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,0.839991563,0.992 +15731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.730673542,0.992 +15733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.0097797,0.992 +15734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.999181097,0.992 +15735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,9.867554096,0.992 +15737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.107606959,0.992 +15738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.463484519,0.992 +15736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.621669178,0.992 +15739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.711208124,0.992 +15741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,9.610451016,0.992 +15740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.359349702,0.992 +15742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.39111577,0.992 +15744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.235276172,0.992 +15745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.120101675,0.992 +15743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.703192056,0.992 +15746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.923958366,0.992 +15747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.208635329,0.992 +15748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.920172526,0.992 +15749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.540115233,0.992 +15751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.240059301,0.992 +15752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.818320662,0.992 +15750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.807468273,0.992 +15754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.293928994,0.992 +15753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.267251485,0.992 +15755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.550192926,0.992 +15758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.80005337,0.992 +15756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,10.20221509,0.992 +15757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.719764064,0.992 +15759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.986407078,0.992 +15761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.300964374,0.992 +15762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.509933028,0.992 +15763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.853656919,0.992 +15764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.500399707,0.992 +15765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.12704297,0.992 +15766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.928312421,0.992 +15760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.933764763,0.992 +15768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.915963632,0.992 +15769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.472527269,0.992 +15767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.230283465,0.992 +15770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.849982335,0.992 +15771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.907366937,0.992 +15774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,0.484204706,0.992 +15773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.675083076,0.992 +15772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.681123767,0.992 +15776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.977190514,0.992 +15777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.710968951,0.992 +15775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.575956532,0.992 +15778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.532298805,0.992 +15780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.278893804,0.992 +15781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.168997736,0.992 +15783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,-1.145288666,0.992 +15782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.358847729,0.992 +15784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.683829571,0.992 +15779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.01577665,0.992 +15786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.325512421,0.992 +15785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.673204389,0.992 +15788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.149169763,0.992 +15787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,9.384609562,0.992 +15790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.071213682,0.992 +15791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.972491974,0.992 +15789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.400056369,0.992 +15792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.485375278,0.992 +15793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.690665266,0.992 +15795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.680099015,0.992 +15794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.95489918,0.992 +15796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.394856043,0.992 +15797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.078451689,0.992 +15798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.204102314,0.992 +15800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.641032989,0.992 +15802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.582850309,0.992 +15799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.104026718,0.992 +15803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.96220876,0.992 +15804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.972907493,0.992 +15801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,0.597157558,0.992 +15805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.339588114,0.992 +15806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.46178786,0.992 +15808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,10.73218032,0.992 +15807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,9.169791693,0.992 +15809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.61872917,0.992 +15811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.244334122,0.992 +15810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.929257602,0.992 +15812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,0.991501987,0.992 +15814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.161593988,0.992 +15815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.923729597,0.992 +15816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.437723213,0.992 +15817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.862007028,0.992 +15813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.039321555,0.992 +15818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.898388139,0.992 +15819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.330975115,0.992 +15821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.352309951,0.992 +15822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.774155745,0.992 +15820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.093430908,0.992 +15823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.09805707,0.992 +15825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.899037637,0.992 +15826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.301259342,0.992 +15824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.007914463,0.992 +15827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.239463425,0.992 +15828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.952623104,0.992 +15829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.726363743,0.992 +15830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.439058404,0.992 +15831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,11.03973475,0.992 +15832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.137806301,0.992 +15833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.540156706,0.992 +15835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.184107236,0.992 +15834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.423944619,0.992 +15836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.8022877,0.992 +15838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.67147681,0.992 +15837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.203865518,0.992 +15839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.180491037,0.992 +15840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.57661361,0.992 +15841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.761928336,0.992 +15842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.836250629,0.992 +15843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.345683479,0.992 +15844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.427013272,0.992 +15845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.482167506,0.992 +15846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.04150926,0.992 +15848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.698535333,0.992 +15847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.791230123,0.992 +15850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.017622913,0.992 +15849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.579270963,0.992 +15851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.967690886,0.992 +15852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.303850954,0.992 +15853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.455048335,0.992 +15854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.307327488,0.992 +15855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.749720549,0.992 +15857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.563763808,0.992 +15858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.836410556,0.992 +15856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.731048482,0.992 +15860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.654840961,0.992 +15859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.927340753,0.992 +15861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,10.02500392,0.992 +15862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.750158595,0.992 +15864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.300903464,0.992 +15863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.499700401,0.992 +15865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.3435173,0.992 +15866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.286530795,0.992 +15869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.034529932,0.992 +15867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.239183181,0.992 +15868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.964215661,0.992 +15871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.993498227,0.992 +15873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,9.234251973,0.992 +15872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.229315379,0.992 +15874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.500592882,0.992 +15876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.140443925,0.992 +15875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.225246071,0.992 +15870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.205587056,0.992 +15877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.020504191,0.992 +15878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.960612886,0.992 +15879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.220561317,0.992 +15880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.357880951,0.992 +15882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.734626906,0.992 +15883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.390357808,0.992 +15881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.015841018,0.992 +15884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.793609758,0.992 +15885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.819548117,0.992 +15886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.392538961,0.992 +15887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.373469888,0.992 +15888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.718872559,0.992 +15889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.602737784,0.992 +15890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.575944758,0.992 +15891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.295971988,0.992 +15893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.584603013,0.992 +15894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.468524726,0.992 +15895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.955226746,0.992 +15892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.96867898,0.992 +15897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.09823119,0.992 +15898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.719077361,0.992 +15896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.853395388,0.992 +15899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.707940767,0.992 +15901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.791690053,0.992 +15902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.971351443,0.992 +15900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.007118462,0.992 +15904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.137525317,0.992 +15905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.49061584,0.992 +15903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.386783875,0.992 +15906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.728479848,0.992 +15907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.986406059,0.992 +15908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.123697438,0.992 +15910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.729580549,0.992 +15909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.181419474,0.992 +15913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.676125578,0.992 +15911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.439125353,0.992 +15912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,11.65887249,0.992 +15916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.862605852,0.992 +15917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.870487191,0.992 +15914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.779825213,0.992 +15915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.671587363,0.992 +15919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.869442228,0.992 +15918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.981464409,0.992 +15920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.102768258,0.992 +15921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.9135142,0.992 +15922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.113686872,0.992 +15923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.700010419,0.992 +15924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.095173284,0.992 +15925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.593375777,0.992 +15929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.034350776,0.992 +15926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.228036902,0.992 +15927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.351935666,0.992 +15928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.1703722,0.992 +15930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.630656007,0.992 +15932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.490290928,0.992 +15931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.189396293,0.992 +15933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,9.788207868,0.992 +15934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.095387257,0.992 +15935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.315085945,0.992 +15936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.390966527,0.992 +15938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.830582973,0.992 +15939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.685082999,0.992 +15940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.801592221,0.992 +15937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.649522586,0.992 +15941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.898986878,0.992 +15944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.767915039,0.992 +15942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.896609769,0.992 +15943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.806669889,0.992 +15946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.477146162,0.992 +15945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.772352269,0.992 +15947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,0.852756171,0.992 +15948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.996772801,0.992 +15950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.749063857,0.992 +15949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.2967012,0.992 +15951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.935697572,0.992 +15952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,10.55995178,0.992 +15953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.333410573,0.992 +15955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,0.616186323,0.992 +15954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.10098446,0.992 +15957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.579185812,0.992 +15956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.998916197,0.992 +15958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.861843127,0.992 +15959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,9.707424038,0.992 +15961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.543164154,0.992 +15960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.09990302,0.992 +15962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.89652605,0.992 +15964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.033355833,0.992 +15965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.608783071,0.992 +15966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.356158074,0.992 +15967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.042059986,0.992 +15968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.92047258,0.992 +15963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.776924499,0.992 +15969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,-0.273831528,0.992 +15971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.462257735,0.992 +15970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.204651647,0.992 +15972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.626187213,0.992 +15973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.323243116,0.992 +15974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.701842057,0.992 +15975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.273958532,0.992 +15976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.806118512,0.992 +15978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.647146386,0.992 +15977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.10553903,0.992 +15979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.586065822,0.992 +15981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.588228715,0.992 +15982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.718074222,0.992 +15983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.978994394,0.992 +15984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.10682942,0.992 +15980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.704839321,0.992 +15985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.090297723,0.992 +15986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,3.433922299,0.992 +15987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.87651747,0.992 +15989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.420573976,0.992 +15988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,6.255581975,0.992 +15990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.233172729,0.992 +15991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.880610521,0.992 +15992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,7.840776548,0.992 +15993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.351038408,0.992 +15994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,8.296194902,0.992 +15995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,9.519294966,0.992 +15996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,2.595590588,0.992 +15997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.582061243,0.992 +15998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,5.121139305,0.992 +16000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,1.441518068,0.992 +15999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,6,1,4.065539761,0.992 +25001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.279816077,1 +25002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.97955234,1 +25004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,8.537280648,1 +25003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.157417448,1 +25005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.15503205,1 +25006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.958887381,1 +25008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.580041455,1 +25007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.449472246,1 +25010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.773995236,1 +25009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.219380387,1 +25011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.051574159,1 +25013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.815741336,1 +25014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.886212716,1 +25012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.584646219,1 +25017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.660536154,1 +25016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.988839467,1 +25015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.154009165,1 +25018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.662064802,1 +25019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.67458685,1 +25020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.55937643,1 +25021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.164785127,1 +25022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.769122601,1 +25023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.681366788,1 +25024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.566762609,1 +25025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.079450415,1 +25026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.236799754,1 +25027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.679144631,1 +25028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.709413456,1 +25029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.083514654,1 +25031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.644275159,1 +25030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.615907316,1 +25032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.353918526,1 +25033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.438680565,1 +25034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.890811441,1 +25035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.206666327,1 +25036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.189982898,1 +25037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.383081586,1 +25038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.080052287,1 +25039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.051180548,1 +25040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.244595528,1 +25041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,10.51737898,1 +25042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,8.858544961,1 +25043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.840195598,1 +25044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.633620133,1 +25045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.617997358,1 +25046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.280180145,1 +25047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.973994973,1 +25048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.864219332,1 +25050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.65813189,1 +25051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.029361733,1 +25052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.611126816,1 +25049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.199527197,1 +25053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.816057139,1 +25054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.815925539,1 +25055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.884597993,1 +25058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.693687666,1 +25057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,11.01367378,1 +25059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.400625306,1 +25056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.770340992,1 +25060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.762242946,1 +25061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.567956935,1 +25062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.716549435,1 +25063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.832593502,1 +25064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.41301002,1 +25065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,0.840936556,1 +25066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.298248865,1 +25067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.800266805,1 +25069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.749547155,1 +25068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.467594005,1 +25070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.883032443,1 +25071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.55535088,1 +25072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.239995987,1 +25073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.12034532,1 +25075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,8.70762803,1 +25076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.029212183,1 +25074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.86034268,1 +25078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.556349722,1 +25077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.225062229,1 +25079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.354777121,1 +25080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,10.53051714,1 +25081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.321800283,1 +25082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.162199087,1 +25083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.301174687,1 +25084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.620390941,1 +25085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.043662723,1 +25086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.505466886,1 +25087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.313133417,1 +25088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.738778699,1 +25089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.92358579,1 +25090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.236464759,1 +25092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.230500673,1 +25091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.16842527,1 +25093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.998248811,1 +25094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.340692273,1 +25095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.652769406,1 +25097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.649931781,1 +25098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.185076765,1 +25096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,8.076131034,1 +25099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.314914488,1 +25100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.62318779,1 +25101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.217800795,1 +25103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.021134032,1 +25102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.9505967,1 +25104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,0.791369825,1 +25105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.384414382,1 +25106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.273811032,1 +25107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.999028096,1 +25108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.157069212,1 +25109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.879194203,1 +25110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.68444201,1 +25111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.045317969,1 +25112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.529969616,1 +25114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.757289708,1 +25113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.024839864,1 +25116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.311316327,1 +25115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,8.095881743,1 +25118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.515876,1 +25117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.828331357,1 +25120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.549825868,1 +25119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.828379481,1 +25121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.903102055,1 +25122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.354931927,1 +25123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.091771438,1 +25125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.67517942,1 +25124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.670501035,1 +25126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.110883418,1 +25130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.906108535,1 +25128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.648735033,1 +25129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.591350231,1 +25131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.105611809,1 +25132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.16560904,1 +25127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.07123459,1 +25133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.420907132,1 +25134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.60985327,1 +25135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.60558869,1 +25137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.827679172,1 +25136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.628506368,1 +25138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.70004468,1 +25139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.313662923,1 +25140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.259194802,1 +25141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.401435974,1 +25142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.631608288,1 +25143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.938215521,1 +25144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.66383351,1 +25146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,8.429289365,1 +25145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.587813395,1 +25147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.244657053,1 +25149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.785330735,1 +25150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.409836081,1 +25151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.084930964,1 +25148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.00397819,1 +25152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.551121606,1 +25153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.8788561,1 +25155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.786913408,1 +25154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.050653453,1 +25157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.035163695,1 +25156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.751352002,1 +25159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.748120135,1 +25158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.110730922,1 +25160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.119496789,1 +25161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.067460192,1 +25162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.771635917,1 +25164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.429272982,1 +25165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.986444027,1 +25163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.931306949,1 +25166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.516674558,1 +25167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.22093166,1 +25168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,8.667959075,1 +25170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.805986595,1 +25171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.811126175,1 +25169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.512520378,1 +25172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.639379551,1 +25173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.771498695,1 +25174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,8.212265145,1 +25175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.732836652,1 +25176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.115635163,1 +25177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.455514094,1 +25178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.143232364,1 +25180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.555411855,1 +25179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.962334739,1 +25181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.315250362,1 +25182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.704433586,1 +25183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.475442267,1 +25185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.731660644,1 +25184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.130703929,1 +25186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.214188312,1 +25187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.667403881,1 +25188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.77942991,1 +25189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.02318212,1 +25190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.681878485,1 +25191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.239271969,1 +25192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.79381347,1 +25193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,8.248436547,1 +25194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.019011884,1 +25195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.679493353,1 +25196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.051586214,1 +25197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.613929245,1 +25198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.801279779,1 +25200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.336306203,1 +25199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.4667754,1 +25201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.819307275,1 +25204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.056625711,1 +25203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.474618708,1 +25202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.149234935,1 +25205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.585825487,1 +25206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.931055197,1 +25207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.122992788,1 +25208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,11.57836332,1 +25209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.784255358,1 +25212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,10.229117,1 +25210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.524173119,1 +25211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.913485337,1 +25214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.656836271,1 +25215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.71547843,1 +25216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.057168053,1 +25213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,8.731593961,1 +25219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.236870114,1 +25218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.050998828,1 +25217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.998467845,1 +25220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.827599938,1 +25221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.527375887,1 +25222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.693943452,1 +25224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.531402163,1 +25226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.267799189,1 +25225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.824503528,1 +25223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,8.911270568,1 +25228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.010073805,1 +25229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.797042067,1 +25227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.400422315,1 +25230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.245251436,1 +25234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.590904075,1 +25232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.445024434,1 +25233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.779769561,1 +25231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,0.864154279,1 +25236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.414777068,1 +25237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.000088144,1 +25238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.548467911,1 +25235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.363034181,1 +25239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,8.159950837,1 +25241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.230187867,1 +25240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.962931142,1 +25243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.415046037,1 +25244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.742393534,1 +25242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.657728891,1 +25245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.15182164,1 +25248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.805157025,1 +25246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,8.885949355,1 +25247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.152766414,1 +25249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.213268095,1 +25250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.944898163,1 +25251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.968546618,1 +25252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,8.637257633,1 +25253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.122914367,1 +25256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.850260048,1 +25255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.698631584,1 +25254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.236591487,1 +25257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.696981097,1 +25258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.403638489,1 +25259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.065545813,1 +25260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.945699537,1 +25261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.958928861,1 +25264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.359986511,1 +25263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,8.31888802,1 +25262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.324435445,1 +25265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.595910891,1 +25266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.385055702,1 +25267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.394834156,1 +25268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.422455507,1 +25269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.9817103,1 +25270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.174652206,1 +25271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.685612201,1 +25272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.59374885,1 +25275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.954346438,1 +25273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.279133176,1 +25276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.768614437,1 +25274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.759711615,1 +25278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.249771733,1 +25279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.217940657,1 +25277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.733212605,1 +25280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.026421187,1 +25283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.315567123,1 +25282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.548311356,1 +25284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.053481765,1 +25285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.165407666,1 +25286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.522267371,1 +25281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.456722133,1 +25287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.118728569,1 +25288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.131850389,1 +25289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.120757227,1 +25290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.493059583,1 +25294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.992811808,1 +25291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.802834671,1 +25292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.351568425,1 +25293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.874349705,1 +25295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.435609154,1 +25296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.316782349,1 +25297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.98851522,1 +25298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.295020165,1 +25300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.930094007,1 +25301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.825076079,1 +25302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.039450852,1 +25303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.645275122,1 +25304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.456374033,1 +25305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.8819386,1 +25306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.527792132,1 +25299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.40326117,1 +25309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.032890116,1 +25308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.73104191,1 +25307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.34204481,1 +25310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.851240459,1 +25311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.816039107,1 +25312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.455428638,1 +25313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.727023374,1 +25314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,9.044918858,1 +25315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.140468305,1 +25316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.905265052,1 +25317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.111501507,1 +25318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.528537426,1 +25319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.179148031,1 +25320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.292152957,1 +25321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.490246266,1 +25324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.737465904,1 +25322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.474067828,1 +25323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.876143655,1 +25325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.11044934,1 +25326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.628834904,1 +25328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.541341707,1 +25329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.786072948,1 +25327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.932401401,1 +25330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.852019896,1 +25332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.926131276,1 +25334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.682755146,1 +25331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.917920596,1 +25333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.079948417,1 +25335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.646487619,1 +25337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.446000936,1 +25336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.487207118,1 +25338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.807555884,1 +25339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.137229422,1 +25340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.935188751,1 +25341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.252822089,1 +25342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.554083333,1 +25343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.91283611,1 +25344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.935986258,1 +25345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.479448379,1 +25346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,0.817058451,1 +25347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.704844179,1 +25348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.621963711,1 +25349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.225250204,1 +25350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.185693851,1 +25351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.444483985,1 +25352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.240458943,1 +25353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.617388282,1 +25355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.990508725,1 +25354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.159655241,1 +25356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.137471059,1 +25357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.130414207,1 +25358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.664831638,1 +25360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.896206004,1 +25361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.093923547,1 +25359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.495100026,1 +25362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.326326194,1 +25363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.950880181,1 +25364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.210067191,1 +25366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.824744784,1 +25367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.320450108,1 +25368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.360570271,1 +25369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.05552764,1 +25365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.654790182,1 +25370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.865693097,1 +25371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.843193922,1 +25373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.575633016,1 +25372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.234779541,1 +25374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.703792457,1 +25375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.445663262,1 +25378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.499413115,1 +25377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.950054153,1 +25379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.009683649,1 +25376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,8.807865135,1 +25380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.846665894,1 +25381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.06072069,1 +25382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.775865417,1 +25384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.799802389,1 +25385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.437467325,1 +25383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.81387219,1 +25386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.668684232,1 +25389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.165563333,1 +25387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.71839324,1 +25390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.781849917,1 +25388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.06557894,1 +25391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.532606151,1 +25392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.239102558,1 +25393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,10.62046287,1 +25394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.489937631,1 +25396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.287894661,1 +25397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,9.80156279,1 +25398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.223534435,1 +25399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.057560323,1 +25400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,0.834347866,1 +25401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.398935254,1 +25395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.775722939,1 +25402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.895182068,1 +25404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.737815953,1 +25405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.835784847,1 +25403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.58002301,1 +25406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.956505471,1 +25409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.118732626,1 +25408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.079766499,1 +25410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.961222572,1 +25407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,8.94689101,1 +25411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.134292923,1 +25413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.587474134,1 +25412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.287739243,1 +25414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,8.876197976,1 +25415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,8.249372728,1 +25417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.150232947,1 +25418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.263700813,1 +25416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.006426328,1 +25419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.190877037,1 +25420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,8.705309046,1 +25422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.04347057,1 +25421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,9.053412444,1 +25423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.71617173,1 +25424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.267523217,1 +25425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.550741469,1 +25426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,11.395211,1 +25427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.894098402,1 +25428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.621503457,1 +25429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.880659458,1 +25430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.060731479,1 +25431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.381559518,1 +25432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.625746846,1 +25433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,9.485268592,1 +25435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.210292226,1 +25436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.900691627,1 +25434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.080134032,1 +25437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.513598396,1 +25439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.59813444,1 +25438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.857022447,1 +25440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.303841963,1 +25442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.748721961,1 +25441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.659014097,1 +25444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.624715763,1 +25443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.046767487,1 +25446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.023172154,1 +25445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.156592716,1 +25448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.059758008,1 +25449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.332866946,1 +25447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,9.856918014,1 +25450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.20914048,1 +25451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.237642942,1 +25453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.946118582,1 +25456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.260470536,1 +25452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.548086812,1 +25455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,0.248798542,1 +25454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.976027815,1 +25458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.993574808,1 +25457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.988610392,1 +25459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.608922575,1 +25461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,9.105660379,1 +25462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.834533705,1 +25460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.112497686,1 +25463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.395268825,1 +25464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.083994804,1 +25467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.260751474,1 +25466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.760174546,1 +25465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.806710678,1 +25468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.753297138,1 +25470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.840209036,1 +25471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.162847314,1 +25469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,10.33708487,1 +25472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.838702964,1 +25474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.219660962,1 +25475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.754135363,1 +25476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.063883163,1 +25473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.875023882,1 +25477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.499033636,1 +25478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.465639867,1 +25479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.384232229,1 +25480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.265299957,1 +25482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,8.308568431,1 +25481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.363986357,1 +25486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.707471011,1 +25484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.149743169,1 +25483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.367197314,1 +25487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.987300989,1 +25485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.437319238,1 +25489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.632266436,1 +25490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.694846025,1 +25491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.315767104,1 +25488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.975195084,1 +25492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.787648372,1 +25494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.968396293,1 +25496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.730335242,1 +25495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.723736528,1 +25493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,8.760842108,1 +25497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.449447018,1 +25498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.274471649,1 +25500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.943455135,1 +25499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.376157842,1 +25503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.547955899,1 +25502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.592929336,1 +25501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.706960234,1 +25504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.555627639,1 +25506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.409294859,1 +25505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.784893137,1 +25509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.479704846,1 +25507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.263669322,1 +25511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.948959087,1 +25510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.456491103,1 +25508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.880933444,1 +25512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.046458453,1 +25514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.97568822,1 +25516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.371428572,1 +25515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.913319894,1 +25513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.849430854,1 +25517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.949327314,1 +25519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.307407614,1 +25520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.937043763,1 +25518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.207269101,1 +25521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.936918149,1 +25522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.443708777,1 +25523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.087585709,1 +25525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.223546472,1 +25524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.120860409,1 +25527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.514491202,1 +25526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.70264349,1 +25529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.145352087,1 +25528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,0.934875319,1 +25531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.834303819,1 +25533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.158365341,1 +25532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,12.55830402,1 +25535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.14866977,1 +25534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.663528512,1 +25536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.197302447,1 +25530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.036356139,1 +25537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.297010259,1 +25540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.040902103,1 +25539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.973834351,1 +25541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.871929733,1 +25542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.490249683,1 +25538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.193301492,1 +25543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.080655407,1 +25544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.599509661,1 +25545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.852123655,1 +25546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.415919823,1 +25547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.49593313,1 +25548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.261980573,1 +25550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,8.880365657,1 +25551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.043350666,1 +25552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.235044136,1 +25549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.007945799,1 +25553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.990074253,1 +25555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.609586362,1 +25556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.186255612,1 +25554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.728791643,1 +25557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.326754965,1 +25558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.512904103,1 +25559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.087297559,1 +25560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.098745435,1 +25561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.423713635,1 +25562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.2743672,1 +25563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.157796974,1 +25564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.860367309,1 +25566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.047579678,1 +25567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.308918767,1 +25565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.669178324,1 +25568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.318095013,1 +25570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.545456392,1 +25571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,9.891709342,1 +25569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.262035646,1 +25572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.745734273,1 +25573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.378794379,1 +25574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.93783297,1 +25575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.433182035,1 +25576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.463024054,1 +25577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.79771372,1 +25579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.293280174,1 +25578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.893125575,1 +25580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.129502639,1 +25581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.594355447,1 +25582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.993198688,1 +25583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.85531528,1 +25584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.029376036,1 +25585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.810074468,1 +25586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.772739397,1 +25588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.979865661,1 +25589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.638630854,1 +25587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.3059028,1 +25590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.580816934,1 +25591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.302759435,1 +25592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.260744624,1 +25594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.022752967,1 +25595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.935283482,1 +25596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,8.430616261,1 +25597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.82387294,1 +25598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.111994914,1 +25599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,0.782514232,1 +25593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.879228553,1 +25600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.884492086,1 +25601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.107636462,1 +25603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.229573022,1 +25602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.693466521,1 +25604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.541383478,1 +25605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.707492553,1 +25606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.977947416,1 +25607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.878209991,1 +25608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.479200147,1 +25609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.117408145,1 +25611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.566537806,1 +25612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.168824639,1 +25613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.915198965,1 +25614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.85983223,1 +25610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.83389814,1 +25615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,8.531106463,1 +25616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.673274305,1 +25618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.283817683,1 +25617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.197012898,1 +25620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.180125915,1 +25619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.670646417,1 +25621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.274514525,1 +25622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.136837443,1 +25623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.622062314,1 +25624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.272033541,1 +25625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.381275757,1 +25626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.75645451,1 +25628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.176516468,1 +25627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,8.818395243,1 +25630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.148986927,1 +25631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.504529685,1 +25632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.602917747,1 +25629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.954467356,1 +25633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.803914073,1 +25634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.839726432,1 +25635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.974406721,1 +25636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.805734116,1 +25637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.072370883,1 +25638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.662875458,1 +25639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.978880249,1 +25640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.823713628,1 +25641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.756438655,1 +25642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.432674802,1 +25643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.654425982,1 +25645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.572175482,1 +25644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.977095047,1 +25646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.06370516,1 +25647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.156161185,1 +25650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.530839027,1 +25648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,8.128699717,1 +25651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.992393107,1 +25649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.193049203,1 +25653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.627273191,1 +25652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.311044903,1 +25654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.766957454,1 +25655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.099075382,1 +25656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.286379021,1 +25657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.234236384,1 +25658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.974835921,1 +25659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,8.714105736,1 +25660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.001239664,1 +25661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.0158416,1 +25662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.034341933,1 +25665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.718767523,1 +25666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.682075621,1 +25663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.426105457,1 +25664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.969595354,1 +25667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.556106806,1 +25669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.814057582,1 +25668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.484887817,1 +25670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.927950267,1 +25671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,0.950559969,1 +25672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,11.42824983,1 +25673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.881798548,1 +25674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.906569306,1 +25675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.693616901,1 +25676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.99390945,1 +25677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.466776928,1 +25678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.889108701,1 +25679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.727068897,1 +25681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.070392893,1 +25680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.650231263,1 +25683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.074273881,1 +25682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.406279939,1 +25684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.501140362,1 +25685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.379711287,1 +25686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.074699422,1 +25688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,0.976871132,1 +25687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.96276278,1 +25689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.910863442,1 +25690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.83160163,1 +25691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.527570815,1 +25692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.577272667,1 +25694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.93916587,1 +25693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.104068939,1 +25696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.960934682,1 +25695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.626813021,1 +25697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.194869855,1 +25698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.455409494,1 +25700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,10.22741597,1 +25701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.404555869,1 +25702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.778431303,1 +25703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.18555933,1 +25699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.586130288,1 +25704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.31247689,1 +25706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.14425772,1 +25705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.930310283,1 +25707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.250327142,1 +25708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.399469042,1 +25711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.890468676,1 +25709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.326798825,1 +25710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.022458011,1 +25712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.260860376,1 +25713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.467103144,1 +25714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.378257908,1 +25715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.628974811,1 +25716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.588300362,1 +25718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.818817755,1 +25719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.023682192,1 +25720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.906862988,1 +25717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.155941901,1 +25721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.612037564,1 +25722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.136392843,1 +25724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.954397396,1 +25723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.236764493,1 +25725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.721653283,1 +25726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.244950234,1 +25727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.110846842,1 +25728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.642749959,1 +25730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.343526923,1 +25729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.035131127,1 +25732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.386929403,1 +25731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.177246983,1 +25734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.062358292,1 +25735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.925575164,1 +25736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.61311249,1 +25733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,0.620597127,1 +25738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.622487062,1 +25737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.709563692,1 +25740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.73650155,1 +25739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.231326189,1 +25742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.164558753,1 +25741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.512198909,1 +25744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.458621691,1 +25746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.171811971,1 +25745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.522552489,1 +25743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.620556213,1 +25747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.921034974,1 +25748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.967925223,1 +25749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.517483028,1 +25751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.390429044,1 +25752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,8.60494266,1 +25750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.990861111,1 +25753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.847967815,1 +25756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.460120972,1 +25755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.227967395,1 +25757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.011626964,1 +25754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.05101788,1 +25758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.474604056,1 +25759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.606359415,1 +25761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.324448557,1 +25760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.594175225,1 +25763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.284735757,1 +25764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.191287715,1 +25765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.102236628,1 +25766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.727098016,1 +25762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.076163795,1 +25767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.372252934,1 +25768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.995398447,1 +25769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,10.73234832,1 +25770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.185289229,1 +25771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.992802105,1 +25772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,0.405428676,1 +25773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.897693389,1 +25775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.665822337,1 +25774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.189170359,1 +25776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.047640035,1 +25777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.633534221,1 +25778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.607498545,1 +25780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.864264571,1 +25779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.006341956,1 +25781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.25708014,1 +25782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.011450697,1 +25783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.523900533,1 +25785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.771537693,1 +25786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.382579207,1 +25784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.223519082,1 +25787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.550034059,1 +25788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.062045152,1 +25789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.152487878,1 +25791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.249790076,1 +25790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.607622084,1 +25792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.201200669,1 +25793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.739302091,1 +25794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.542023754,1 +25795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.626012155,1 +25796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.812646959,1 +25797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.182987514,1 +25798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.709328211,1 +25799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.272479033,1 +25800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.813714696,1 +25801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.398187391,1 +25802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.801113337,1 +25805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.196154629,1 +25804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.154803339,1 +25803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.960751821,1 +25807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.921932745,1 +25808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.37476694,1 +25806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.531740968,1 +25809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,9.168116597,1 +25810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.936848737,1 +25811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.651608913,1 +25813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.789787208,1 +25814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.067115234,1 +25815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,0.70571411,1 +25812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.982667939,1 +25816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.668335697,1 +25817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.586150391,1 +25819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.970259041,1 +25818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.787789549,1 +25822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.5482924,1 +25823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.268158428,1 +25821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,10.23678222,1 +25820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.664198777,1 +25825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.487625351,1 +25826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.944616601,1 +25827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.348592029,1 +25828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.396648458,1 +25829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.332280612,1 +25824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.374074178,1 +25830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.515233901,1 +25831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.513820475,1 +25833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,8.929220796,1 +25832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.614907749,1 +25834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.128780875,1 +25835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.575316347,1 +25836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.745140472,1 +25837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.314782064,1 +25839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.835023412,1 +25838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,8.090892883,1 +25841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.00161793,1 +25840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.74709955,1 +25842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.881041973,1 +25843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.7740311,1 +25844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.736297237,1 +25847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.38302283,1 +25845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.430985377,1 +25846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.085906678,1 +25848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,8.957488216,1 +25849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.950229063,1 +25850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.153854224,1 +25852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.562296604,1 +25851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.952509892,1 +25854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.782403928,1 +25853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.683103107,1 +25855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.373263177,1 +25856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,8.928763376,1 +25857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.157042014,1 +25858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.28854341,1 +25859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.467149332,1 +25860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.434381823,1 +25862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,12.13142494,1 +25863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.355078487,1 +25861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.22131449,1 +25864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.373256067,1 +25865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.288085094,1 +25866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,0.591762247,1 +25868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.533490051,1 +25867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.144860725,1 +25870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.96340925,1 +25872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.592850436,1 +25871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.282417387,1 +25869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.614626872,1 +25873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.870889467,1 +25874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.337469069,1 +25875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.489485324,1 +25877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.833290519,1 +25876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.737752539,1 +25879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.39142402,1 +25878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.628399646,1 +25881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.315219797,1 +25880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,12.17054734,1 +25882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.794920391,1 +25883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.105444488,1 +25885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.177887907,1 +25886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.538307764,1 +25887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.45508455,1 +25888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.228775348,1 +25889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.66926995,1 +25890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.271181665,1 +25891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,8.621975805,1 +25884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.693005211,1 +25892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.244574985,1 +25895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.229385009,1 +25893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.803305119,1 +25894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.894186592,1 +25897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.745213579,1 +25896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.863958301,1 +25898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.762642336,1 +25899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.410695803,1 +25901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.521714473,1 +25903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.171325627,1 +25902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.185106064,1 +25904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.635637412,1 +25905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,10.61446508,1 +25906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.546495539,1 +25900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.081657031,1 +25907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.568689831,1 +25908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.625642658,1 +25909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.960866858,1 +25910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.307043438,1 +25911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.378546879,1 +25912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.81758745,1 +25913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,9.505856118,1 +25915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.580874462,1 +25916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.369372322,1 +25914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.468921627,1 +25917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.74435795,1 +25918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,8.064897389,1 +25919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.723866205,1 +25920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.685953462,1 +25921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.734388102,1 +25922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.021979325,1 +25923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.762990961,1 +25925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.373962844,1 +25924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.921213619,1 +25926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,9.427355048,1 +25927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.201698039,1 +25928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.650135766,1 +25930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,0.298057059,1 +25929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.295220817,1 +25931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.227570553,1 +25932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.692905951,1 +25933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.695756888,1 +25934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.965088287,1 +25935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.730758152,1 +25936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.116498618,1 +25937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.828266809,1 +25938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.958656471,1 +25939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.182030175,1 +25940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.916532942,1 +25943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.181959361,1 +25941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.56830992,1 +25942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.140352253,1 +25944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.334205299,1 +25945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.664453231,1 +25946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.947383649,1 +25947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.56487776,1 +25948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.007225279,1 +25949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.764419208,1 +25950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.841936729,1 +25951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.523519001,1 +25952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.532379632,1 +25953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.9026038,1 +25954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.014447897,1 +25956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.455803368,1 +25957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.876851982,1 +25955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.544703523,1 +25960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.422414272,1 +25959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.428813068,1 +25961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.732784497,1 +25958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.73277111,1 +25962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.117891875,1 +25963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.929430084,1 +25964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.942646265,1 +25967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.273836623,1 +25966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.198700204,1 +25965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.419462243,1 +25968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.329874992,1 +25971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.858538819,1 +25969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.288515729,1 +25970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.622610635,1 +25972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.993778505,1 +25973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.270664569,1 +25974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.804946002,1 +25975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.356748729,1 +25976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.376364819,1 +25978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,9.179477616,1 +25979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.524090083,1 +25977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,8.305578213,1 +25980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.734370309,1 +25981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.442943196,1 +25982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,10.52376036,1 +25984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.536418198,1 +25983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.451423265,1 +25988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.260199756,1 +25985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.566503516,1 +25986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.95598588,1 +25987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,10.65758927,1 +25990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,11.05963811,1 +25989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,7.490879314,1 +25991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.331951004,1 +25992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,4.112834919,1 +25993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,3.255965573,1 +25995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,0.946536305,1 +25996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,0.909960521,1 +25997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,6.635019085,1 +25998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.041681755,1 +25994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,5.50314691,1 +25999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,1.425463373,1 +26000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,6,1,2.413623547,1 +35001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.710052345,0.999 +35002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.13997596,0.999 +35003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.147513989,0.999 +35005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,8.200597506,0.999 +35006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.262441986,0.999 +35004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.787673008,0.999 +35007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.548905565,0.999 +35008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.05916175,0.999 +35009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.044047418,0.999 +35010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.072458144,0.999 +35012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,8.402060988,0.999 +35011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.055338513,0.999 +35014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.959533484,0.999 +35013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.759271931,0.999 +35015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.323905843,0.999 +35016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.688751412,0.999 +35018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.258431761,0.999 +35017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.957123303,0.999 +35019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,0.409625559,0.999 +35020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.43537411,0.999 +35021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.191421788,0.999 +35022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.218101707,0.999 +35023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.863463452,0.999 +35024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.511991977,0.999 +35025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,11.7278747,0.999 +35026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.521357335,0.999 +35029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.788254557,0.999 +35027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.67636548,0.999 +35028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.454082279,0.999 +35031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.397637248,0.999 +35032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.476998375,0.999 +35033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.919677407,0.999 +35034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.401228551,0.999 +35035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.664853909,0.999 +35036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.29017811,0.999 +35030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.738269629,0.999 +35037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.554854824,0.999 +35038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.823144342,0.999 +35039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,8.003115004,0.999 +35040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.017580131,0.999 +35041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.495712564,0.999 +35042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.015481993,0.999 +35043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.231481257,0.999 +35044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.270972206,0.999 +35046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.391083932,0.999 +35045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.581941742,0.999 +35047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.116007018,0.999 +35049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.02182776,0.999 +35050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.520894923,0.999 +35051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.363062036,0.999 +35052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.800185437,0.999 +35053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.27219265,0.999 +35048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.254854902,0.999 +35054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.869086772,0.999 +35056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.012848491,0.999 +35057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.146468193,0.999 +35055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.658673355,0.999 +35058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.341326369,0.999 +35060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.882681712,0.999 +35059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.327344544,0.999 +35061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,9.212520125,0.999 +35062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.318591605,0.999 +35063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.115076058,0.999 +35064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,9.142450268,0.999 +35065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.778556962,0.999 +35066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.878150743,0.999 +35068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.550711062,0.999 +35069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.717737449,0.999 +35070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.895809276,0.999 +35067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.924858046,0.999 +35071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.821840073,0.999 +35072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.222821825,0.999 +35074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.128420942,0.999 +35073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.535861083,0.999 +35075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,8.847982665,0.999 +35076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.594237115,0.999 +35077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.485652255,0.999 +35078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.622583469,0.999 +35079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.27079527,0.999 +35080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.639609429,0.999 +35082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.346994219,0.999 +35081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.951406997,0.999 +35083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.891350924,0.999 +35084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.867954582,0.999 +35085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.24020412,0.999 +35087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.890610187,0.999 +35089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.662121025,0.999 +35088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.710281507,0.999 +35086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.676615539,0.999 +35090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.230079451,0.999 +35092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.447236046,0.999 +35093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.067437514,0.999 +35094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.802586365,0.999 +35095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.618074041,0.999 +35091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.113013783,0.999 +35096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.592558983,0.999 +35097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.276054035,0.999 +35098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.690280211,0.999 +35100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.069239036,0.999 +35099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.663210888,0.999 +35101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.016361996,0.999 +35104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.743046879,0.999 +35102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.335150273,0.999 +35105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.064717265,0.999 +35106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.613835136,0.999 +35103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.83903814,0.999 +35107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.276839658,0.999 +35108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.210233879,0.999 +35110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.09521178,0.999 +35111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.265050028,0.999 +35112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.265260075,0.999 +35109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.95518084,0.999 +35114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.750907218,0.999 +35115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.669495305,0.999 +35113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.577485118,0.999 +35116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.11453899,0.999 +35117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.832173364,0.999 +35119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.28727064,0.999 +35118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.288169556,0.999 +35120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.735231065,0.999 +35121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.64781206,0.999 +35123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.494259257,0.999 +35122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.668844758,0.999 +35124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.260643338,0.999 +35125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.38972387,0.999 +35127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.884561811,0.999 +35128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.388759646,0.999 +35129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.142055092,0.999 +35126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.674792999,0.999 +35130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.270388235,0.999 +35131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.346217842,0.999 +35133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.914690115,0.999 +35132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.346614038,0.999 +35134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.796325688,0.999 +35135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.247477889,0.999 +35136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.772836764,0.999 +35137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,8.168333031,0.999 +35138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.244730698,0.999 +35139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.301186335,0.999 +35140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.4117666,0.999 +35142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.262769968,0.999 +35141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.702865767,0.999 +35145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.941208006,0.999 +35143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.158474535,0.999 +35146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.334294427,0.999 +35144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.07031585,0.999 +35149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.782310685,0.999 +35147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.544884917,0.999 +35150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.326093924,0.999 +35148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.354462072,0.999 +35151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.917627345,0.999 +35152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.387806187,0.999 +35153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.051830714,0.999 +35155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.686469207,0.999 +35156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.884241568,0.999 +35157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.027828017,0.999 +35154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.196013819,0.999 +35158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.007873536,0.999 +35159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.51271391,0.999 +35161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.845428841,0.999 +35160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.650985175,0.999 +35162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.649897289,0.999 +35163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.355123588,0.999 +35165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.67303392,0.999 +35164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.468188464,0.999 +35166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.141967656,0.999 +35167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.121774903,0.999 +35168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.495738559,0.999 +35170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.419995233,0.999 +35171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.462656936,0.999 +35172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.718198883,0.999 +35173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.314462507,0.999 +35174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.721275157,0.999 +35169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.70731978,0.999 +35175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.628550851,0.999 +35176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.450516533,0.999 +35177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.593185167,0.999 +35178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.57401206,0.999 +35179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.682361422,0.999 +35181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.34075957,0.999 +35180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.284081741,0.999 +35182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.191391736,0.999 +35183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.732921906,0.999 +35184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.481938568,0.999 +35185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.725445364,0.999 +35186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,8.333855899,0.999 +35187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.106503719,0.999 +35188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.640777753,0.999 +35189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,0.561910933,0.999 +35192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.396324864,0.999 +35191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.694166492,0.999 +35193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.392198007,0.999 +35190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.712757251,0.999 +35194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.977856882,0.999 +35195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.147225365,0.999 +35196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.048314472,0.999 +35197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.757933727,0.999 +35198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.228842564,0.999 +35199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.902265234,0.999 +35200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.76177919,0.999 +35202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.564039919,0.999 +35203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.680336399,0.999 +35201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.002258457,0.999 +35204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.858090808,0.999 +35205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.986871507,0.999 +35207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.572440486,0.999 +35208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.404586516,0.999 +35206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,9.159526811,0.999 +35209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.646196671,0.999 +35211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.516808448,0.999 +35212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.383423146,0.999 +35210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.144328233,0.999 +35213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.838798074,0.999 +35214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.993206976,0.999 +35215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.776179119,0.999 +35216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.908482351,0.999 +35217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.116133922,0.999 +35218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.489453357,0.999 +35219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.291229292,0.999 +35220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.269035893,0.999 +35221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.352587154,0.999 +35223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.962848139,0.999 +35222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.356201161,0.999 +35225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.288186645,0.999 +35226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.4364389,0.999 +35224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.288514267,0.999 +35227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.032736114,0.999 +35228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.260095318,0.999 +35229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.63378343,0.999 +35230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.10862352,0.999 +35231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.30769779,0.999 +35232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.469769474,0.999 +35233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.175960262,0.999 +35234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.524005695,0.999 +35235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.358856073,0.999 +35236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.859516628,0.999 +35237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.925023914,0.999 +35238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.36114443,0.999 +35239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.937553338,0.999 +35240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.153708877,0.999 +35241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.040605666,0.999 +35242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.107652326,0.999 +35243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.637452504,0.999 +35244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.222641566,0.999 +35245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.327258504,0.999 +35246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,8.042538223,0.999 +35247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.267395139,0.999 +35248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.312872451,0.999 +35249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.914852778,0.999 +35250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.889999391,0.999 +35252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.92361163,0.999 +35251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.905363211,0.999 +35253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.973096356,0.999 +35255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.242933742,0.999 +35256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.999805352,0.999 +35258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.8382808,0.999 +35254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.403533775,0.999 +35257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.409904811,0.999 +35260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.120685368,0.999 +35262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,8.020419084,0.999 +35261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.108139693,0.999 +35259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.422940465,0.999 +35263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.241484174,0.999 +35264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.944681838,0.999 +35265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.348218715,0.999 +35266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.305033882,0.999 +35268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.157906557,0.999 +35269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.935745802,0.999 +35270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.694625341,0.999 +35267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.167023556,0.999 +35274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.389856826,0.999 +35271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.858248067,0.999 +35272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.050085802,0.999 +35275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.876763258,0.999 +35273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.705842023,0.999 +35276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.731375876,0.999 +35277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.530492188,0.999 +35278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.653218135,0.999 +35280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.976758087,0.999 +35279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.384561978,0.999 +35281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.192428853,0.999 +35283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.934803,0.999 +35284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.204107426,0.999 +35285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.565472953,0.999 +35282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.844383798,0.999 +35286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.35037679,0.999 +35287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,8.348227937,0.999 +35289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.178210283,0.999 +35290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.299470626,0.999 +35291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.439781167,0.999 +35292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.284521264,0.999 +35293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.503448625,0.999 +35288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.828635289,0.999 +35295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.801941648,0.999 +35296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.13333956,0.999 +35297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.170413608,0.999 +35298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.190920938,0.999 +35294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.263981725,0.999 +35300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.964577898,0.999 +35299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.328959849,0.999 +35302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.411172967,0.999 +35303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.039631865,0.999 +35301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.073879151,0.999 +35304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.391279268,0.999 +35305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.952360257,0.999 +35307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.673671446,0.999 +35308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.93968323,0.999 +35309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.144184252,0.999 +35310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.183693725,0.999 +35311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.463995214,0.999 +35306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.496592692,0.999 +35313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.112403077,0.999 +35315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.884096518,0.999 +35312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.317667496,0.999 +35314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.832697442,0.999 +35317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.963639966,0.999 +35316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.115698243,0.999 +35318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.740722584,0.999 +35319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.155907763,0.999 +35321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.895928944,0.999 +35322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.743320333,0.999 +35323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.98523854,0.999 +35324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.667968174,0.999 +35325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.076507949,0.999 +35320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.205401693,0.999 +35326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.74383121,0.999 +35327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.856770084,0.999 +35329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.847914402,0.999 +35328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.521552639,0.999 +35330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,8.380667088,0.999 +35331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.199682795,0.999 +35332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.029823918,0.999 +35333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.847819288,0.999 +35334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.640271474,0.999 +35335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.937254705,0.999 +35336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.593678685,0.999 +35337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.867904803,0.999 +35338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.740134072,0.999 +35339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.652178656,0.999 +35341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.801179342,0.999 +35343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.733926636,0.999 +35342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.23945179,0.999 +35344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.204634616,0.999 +35340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.997386747,0.999 +35345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.973966265,0.999 +35346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.449910006,0.999 +35347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.20213358,0.999 +35348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.742700207,0.999 +35349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.591184047,0.999 +35350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.545796545,0.999 +35352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.162349472,0.999 +35351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.815559354,0.999 +35354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.846872848,0.999 +35353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.390542109,0.999 +35355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.91559388,0.999 +35356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.561231572,0.999 +35358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.803983916,0.999 +35357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,0.735330078,0.999 +35361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.126981876,0.999 +35362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.441814827,0.999 +35360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.027929425,0.999 +35359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.883485724,0.999 +35363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.647958063,0.999 +35365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.976004044,0.999 +35366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.991075387,0.999 +35367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.092938368,0.999 +35368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.007002661,0.999 +35369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.700010066,0.999 +35370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.021938079,0.999 +35364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.602442882,0.999 +35371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.340173021,0.999 +35372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.754283137,0.999 +35373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.121418937,0.999 +35374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.623584739,0.999 +35375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.6764586,0.999 +35378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.431482301,0.999 +35377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,8.422768061,0.999 +35376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.162280657,0.999 +35379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.581066621,0.999 +35381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.225103747,0.999 +35380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.208433977,0.999 +35382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.031829158,0.999 +35383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.71285527,0.999 +35384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.6943687,0.999 +35387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.380190495,0.999 +35386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.251437848,0.999 +35388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.869662032,0.999 +35385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.796829185,0.999 +35390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.776045563,0.999 +35391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.312913284,0.999 +35389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.466047932,0.999 +35392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,8.450755483,0.999 +35394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.710604279,0.999 +35393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,0.950497898,0.999 +35396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,8.809397553,0.999 +35395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.632413196,0.999 +35398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.608106524,0.999 +35399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.899017542,0.999 +35400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.195526548,0.999 +35397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.758708782,0.999 +35401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.081233715,0.999 +35404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.719254427,0.999 +35403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.690834432,0.999 +35402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.216000494,0.999 +35406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.048413154,0.999 +35408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.228491008,0.999 +35405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.674601197,0.999 +35407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.061950615,0.999 +35409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.355441483,0.999 +35410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.484154118,0.999 +35411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.282479701,0.999 +35412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.230892445,0.999 +35413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.530865165,0.999 +35414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.828086524,0.999 +35415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.254951456,0.999 +35416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.300216019,0.999 +35417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.26754688,0.999 +35418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.980520487,0.999 +35420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.334314442,0.999 +35419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.418204285,0.999 +35424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.150146533,0.999 +35421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.162845264,0.999 +35422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.024579566,0.999 +35423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.46653164,0.999 +35425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.891610936,0.999 +35426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.225598492,0.999 +35427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.160400134,0.999 +35428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.468526604,0.999 +35430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.094489125,0.999 +35429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.731621282,0.999 +35431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.352052068,0.999 +35432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.217577266,0.999 +35433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.271994154,0.999 +35434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.988963014,0.999 +35435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.475769771,0.999 +35437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.498888932,0.999 +35436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.476195215,0.999 +35438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.844239811,0.999 +35439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.702671909,0.999 +35441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.775313954,0.999 +35440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.426471101,0.999 +35442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.233316437,0.999 +35443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.232863919,0.999 +35444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.6115737,0.999 +35445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.25556734,0.999 +35446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.46225574,0.999 +35447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.208239117,0.999 +35449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,0.844278902,0.999 +35450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,0.671564215,0.999 +35451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.629661791,0.999 +35448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.979258001,0.999 +35452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.105161136,0.999 +35455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.037489711,0.999 +35454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.123462735,0.999 +35453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.339063701,0.999 +35456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.573380891,0.999 +35458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.62825649,0.999 +35459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.341435756,0.999 +35460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.631470449,0.999 +35461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.176866987,0.999 +35462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.516427742,0.999 +35457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.57525073,0.999 +35463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.526207701,0.999 +35464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,8.320645561,0.999 +35465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.464459954,0.999 +35467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.97702352,0.999 +35469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.945075696,0.999 +35466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.333960867,0.999 +35468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.805584198,0.999 +35470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.595547872,0.999 +35471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.195467135,0.999 +35472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.154041278,0.999 +35473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.152833654,0.999 +35474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.475831761,0.999 +35475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.97777631,0.999 +35477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.248801293,0.999 +35478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.936063073,0.999 +35479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.856215193,0.999 +35476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.631539056,0.999 +35480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.802131054,0.999 +35481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.57200221,0.999 +35483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.431901246,0.999 +35482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.474612814,0.999 +35484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.466554604,0.999 +35485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.436951758,0.999 +35486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.318391312,0.999 +35487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.519992723,0.999 +35489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.155121206,0.999 +35488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.90706089,0.999 +35491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.331511153,0.999 +35490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,8.119152035,0.999 +35492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.326182644,0.999 +35494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.43600034,0.999 +35493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.321096102,0.999 +35496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.867563988,0.999 +35497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.873152963,0.999 +35495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.112834588,0.999 +35498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.19576509,0.999 +35499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.041501081,0.999 +35502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.451207842,0.999 +35500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.890226533,0.999 +35501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,0.632730486,0.999 +35504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.691947938,0.999 +35503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.464332927,0.999 +35505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.112631111,0.999 +35506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.717613389,0.999 +35507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.28100056,0.999 +35508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.565914446,0.999 +35509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.514663835,0.999 +35510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.740448901,0.999 +35512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.528046339,0.999 +35513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.586330493,0.999 +35511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.15956906,0.999 +35517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.020068865,0.999 +35515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.386196052,0.999 +35516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.430750486,0.999 +35514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.128754051,0.999 +35518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.608349957,0.999 +35519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.012107027,0.999 +35520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.971357213,0.999 +35521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.489299538,0.999 +35522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.206308473,0.999 +35523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.114636762,0.999 +35524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.670741959,0.999 +35525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.788572851,0.999 +35526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.071681031,0.999 +35527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.989579823,0.999 +35528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.556794358,0.999 +35529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.011957184,0.999 +35531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.630259692,0.999 +35530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.33891462,0.999 +35532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,8.219199563,0.999 +35534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.698168789,0.999 +35533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.914991559,0.999 +35536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.860738471,0.999 +35535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.45759758,0.999 +35537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.507756662,0.999 +35538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.805183278,0.999 +35539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.065317905,0.999 +35540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.285829416,0.999 +35541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.157618594,0.999 +35542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.138388586,0.999 +35544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.535983183,0.999 +35543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.531417735,0.999 +35546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.786348233,0.999 +35545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.770947395,0.999 +35548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.885815813,0.999 +35547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.167729526,0.999 +35550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.873937694,0.999 +35551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.301011432,0.999 +35552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.55339521,0.999 +35553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.006739955,0.999 +35554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,8.238473423,0.999 +35549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.208579051,0.999 +35555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.121371076,0.999 +35556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.24549265,0.999 +35557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.774822582,0.999 +35559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.437742334,0.999 +35560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.230458685,0.999 +35558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,8.149892778,0.999 +35561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.509739354,0.999 +35564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.692741402,0.999 +35562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.698208398,0.999 +35563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.115967996,0.999 +35565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.76387538,0.999 +35567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.626787033,0.999 +35566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.464567393,0.999 +35568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.917884673,0.999 +35569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.119491747,0.999 +35570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.49814863,0.999 +35572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.341263926,0.999 +35573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.281549606,0.999 +35574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.591921112,0.999 +35575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.339041199,0.999 +35571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.346517684,0.999 +35576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.564300469,0.999 +35579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.26178086,0.999 +35578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.407536294,0.999 +35577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.808022035,0.999 +35580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.312754962,0.999 +35581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.173853252,0.999 +35582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.863304795,0.999 +35583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.058020138,0.999 +35584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.211561138,0.999 +35586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.378832984,0.999 +35587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.623280893,0.999 +35588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.892766957,0.999 +35585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.668010444,0.999 +35589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.369911077,0.999 +35590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.388245126,0.999 +35591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.80853496,0.999 +35593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.060948143,0.999 +35594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.204109275,0.999 +35592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.074236754,0.999 +35595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.862452273,0.999 +35596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.802363039,0.999 +35597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.200297166,0.999 +35599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.092796523,0.999 +35598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.426639073,0.999 +35601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.433733945,0.999 +35600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.543957832,0.999 +35602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.650493598,0.999 +35603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.216912363,0.999 +35604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.763170537,0.999 +35605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.468174386,0.999 +35606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.675198723,0.999 +35608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.112051771,0.999 +35607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.055930523,0.999 +35609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.044000718,0.999 +35610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.990886127,0.999 +35611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.193579889,0.999 +35613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.781952318,0.999 +35612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.612718614,0.999 +35614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.588281945,0.999 +35615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.130652067,0.999 +35616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.297062795,0.999 +35617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.308761921,0.999 +35618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.687846814,0.999 +35619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.28298268,0.999 +35620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.05548366,0.999 +35621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.568671884,0.999 +35622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.574788075,0.999 +35623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.214157863,0.999 +35624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.785966134,0.999 +35625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.962561991,0.999 +35626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.118592718,0.999 +35628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.693506911,0.999 +35627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.813862097,0.999 +35629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,0.759091796,0.999 +35630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.065315337,0.999 +35632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.405278339,0.999 +35631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,8.072926637,0.999 +35633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.119895413,0.999 +35634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,9.545746507,0.999 +35635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,8.622699881,0.999 +35636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.712293799,0.999 +35638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.006386444,0.999 +35640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.692521006,0.999 +35639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.989847916,0.999 +35637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.607794868,0.999 +35642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.453625525,0.999 +35641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.857606894,0.999 +35643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.046250729,0.999 +35647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.014234049,0.999 +35645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.214615504,0.999 +35644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.24164243,0.999 +35646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.085107324,0.999 +35648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.951204919,0.999 +35649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.059485986,0.999 +35650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.823072517,0.999 +35651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.455707378,0.999 +35654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.530979004,0.999 +35652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.959986341,0.999 +35653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.525953044,0.999 +35655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.232394803,0.999 +35657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.575928581,0.999 +35658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.510521427,0.999 +35659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.355108788,0.999 +35660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.498086799,0.999 +35661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,0.807442848,0.999 +35656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.875846289,0.999 +35662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.423172086,0.999 +35664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.981962125,0.999 +35663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.822076488,0.999 +35666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.750326568,0.999 +35665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.53898338,0.999 +35668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.612503602,0.999 +35667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,0.764208773,0.999 +35669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.84791709,0.999 +35670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.019923629,0.999 +35671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.612687771,0.999 +35672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.91847923,0.999 +35673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.795865845,0.999 +35674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.826157487,0.999 +35675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.03952586,0.999 +35676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.038540497,0.999 +35677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.202015722,0.999 +35679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.105187039,0.999 +35680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.277219121,0.999 +35681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.232859737,0.999 +35682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.557350602,0.999 +35678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.211619996,0.999 +35683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.889856321,0.999 +35684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.020032199,0.999 +35686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.275731152,0.999 +35685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.779048239,0.999 +35687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.391337828,0.999 +35688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.171459428,0.999 +35690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.090512512,0.999 +35691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.218035219,0.999 +35689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.183552248,0.999 +35692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.774806422,0.999 +35693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.062314439,0.999 +35694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.303489764,0.999 +35697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.634196026,0.999 +35696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.997943446,0.999 +35698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.1529022,0.999 +35695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.254012851,0.999 +35700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,8.720569404,0.999 +35699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.882431079,0.999 +35701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.531227998,0.999 +35702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.467792368,0.999 +35703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.437466106,0.999 +35704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.213634971,0.999 +35705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.455270982,0.999 +35707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.234539863,0.999 +35706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.988734054,0.999 +35708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.100152387,0.999 +35709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.430892978,0.999 +35710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.690873676,0.999 +35711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.183518727,0.999 +35712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.05822649,0.999 +35714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.846057677,0.999 +35713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.08472155,0.999 +35715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.759329118,0.999 +35716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.268993244,0.999 +35717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.056042134,0.999 +35719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.882815678,0.999 +35720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.576661674,0.999 +35718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.170146996,0.999 +35721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.78936655,0.999 +35722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.802727758,0.999 +35723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.834436088,0.999 +35724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.75518037,0.999 +35725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.287891982,0.999 +35726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.886277336,0.999 +35727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.408395324,0.999 +35728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.087220942,0.999 +35729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.587775135,0.999 +35730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.860051329,0.999 +35731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.646053026,0.999 +35733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.951964578,0.999 +35734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.403596695,0.999 +35735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.231000221,0.999 +35732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.965305586,0.999 +35736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.432117132,0.999 +35737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.912767117,0.999 +35738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.544333111,0.999 +35740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.425688953,0.999 +35741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,8.207514985,0.999 +35742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.721113499,0.999 +35739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,8.909495633,0.999 +35743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.711133392,0.999 +35744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.643829448,0.999 +35745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.944906036,0.999 +35748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.055359338,0.999 +35747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.178791657,0.999 +35749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.148982766,0.999 +35746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.875914847,0.999 +35750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.638784838,0.999 +35751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.077321133,0.999 +35752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.460134757,0.999 +35753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.52465193,0.999 +35755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.542904687,0.999 +35756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.056500508,0.999 +35757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.57848726,0.999 +35758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.99926807,0.999 +35759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.809629777,0.999 +35760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.501085793,0.999 +35754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.34620981,0.999 +35762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.798804319,0.999 +35763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.122772013,0.999 +35764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.565175681,0.999 +35761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,0.945958944,0.999 +35765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.912611798,0.999 +35767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.153775145,0.999 +35766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.50235804,0.999 +35768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.191913119,0.999 +35769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.190127089,0.999 +35771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,8.272162353,0.999 +35772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.828613528,0.999 +35773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.327286527,0.999 +35774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.561011089,0.999 +35775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.209631175,0.999 +35770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.827021133,0.999 +35776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.376322854,0.999 +35777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.224200932,0.999 +35778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.542138434,0.999 +35779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.968769109,0.999 +35780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.031636997,0.999 +35781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.29606122,0.999 +35782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.339745033,0.999 +35783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.251219875,0.999 +35784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.211153884,0.999 +35785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.509311697,0.999 +35786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.123139326,0.999 +35787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.374329659,0.999 +35788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.586486997,0.999 +35789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,8.652876906,0.999 +35790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.86156571,0.999 +35793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.658864425,0.999 +35792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.566133714,0.999 +35794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.056023579,0.999 +35791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.082022977,0.999 +35795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.483220442,0.999 +35797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.655744619,0.999 +35796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.131274096,0.999 +35798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.018814218,0.999 +35799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,8.19403287,0.999 +35800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.392062702,0.999 +35801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.130118961,0.999 +35802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.928185053,0.999 +35803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.414729919,0.999 +35804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.096131043,0.999 +35805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.519810655,0.999 +35806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.279172426,0.999 +35807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.21058491,0.999 +35809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.084220595,0.999 +35808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.976184347,0.999 +35810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.592870957,0.999 +35811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.702133728,0.999 +35812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.950670114,0.999 +35815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.745181611,0.999 +35814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.333397224,0.999 +35816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.952547047,0.999 +35813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.572456252,0.999 +35817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.724194702,0.999 +35819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,8.368241473,0.999 +35818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.924936164,0.999 +35820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.54920379,0.999 +35821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.056261255,0.999 +35824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.226448405,0.999 +35822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,9.387620947,0.999 +35823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.236086681,0.999 +35825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.232129689,0.999 +35827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.388545593,0.999 +35828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.930906612,0.999 +35829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.034662312,0.999 +35830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.220329023,0.999 +35826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.953624973,0.999 +35832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.450935933,0.999 +35831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.023197832,0.999 +35833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.566281618,0.999 +35834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.02613205,0.999 +35835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.575990706,0.999 +35836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.928889189,0.999 +35838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.072875102,0.999 +35837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.549685144,0.999 +35839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.802391875,0.999 +35840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.320657716,0.999 +35841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.623785593,0.999 +35842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.833617504,0.999 +35843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,10.54985835,0.999 +35844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,8.731334226,0.999 +35846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.093690268,0.999 +35847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.14732874,0.999 +35848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.069796474,0.999 +35849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.588424362,0.999 +35845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.462787076,0.999 +35850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.241816588,0.999 +35853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.062086563,0.999 +35851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.117255785,0.999 +35852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.177417348,0.999 +35855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.09044357,0.999 +35854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.203076858,0.999 +35856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.924318254,0.999 +35857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.554718335,0.999 +35859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.464030366,0.999 +35858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.099248432,0.999 +35861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.331030695,0.999 +35860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.473339176,0.999 +35862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.281499444,0.999 +35863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.798229915,0.999 +35864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.007748123,0.999 +35865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.285185195,0.999 +35867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.584169211,0.999 +35866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.040416982,0.999 +35868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,8.341112999,0.999 +35869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.611561255,0.999 +35871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.592490446,0.999 +35872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.841282193,0.999 +35873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.113323713,0.999 +35874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.539453021,0.999 +35875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.297579306,0.999 +35876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.060773337,0.999 +35870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.243549878,0.999 +35877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.241814196,0.999 +35878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.413922955,0.999 +35879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.061035518,0.999 +35880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.101676767,0.999 +35882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.72762091,0.999 +35881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,10.86447599,0.999 +35884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.549101557,0.999 +35883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.419666405,0.999 +35886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.256117103,0.999 +35887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.118340619,0.999 +35888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.757403842,0.999 +35885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,0.507769005,0.999 +35890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.101100744,0.999 +35889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.848726879,0.999 +35891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.522050198,0.999 +35892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.93536942,0.999 +35894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.198868887,0.999 +35895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.020707193,0.999 +35896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.16583759,0.999 +35893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.329549967,0.999 +35900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.0546867,0.999 +35897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.897137361,0.999 +35898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.525534705,0.999 +35902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.479024923,0.999 +35899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.43579542,0.999 +35901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.806991141,0.999 +35903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.462219681,0.999 +35904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.093219267,0.999 +35905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.91402805,0.999 +35907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.221143581,0.999 +35906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.35389373,0.999 +35908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.812611085,0.999 +35910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.354319631,0.999 +35909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.597638786,0.999 +35911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.272718146,0.999 +35913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.908036391,0.999 +35912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.771828646,0.999 +35915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.173263081,0.999 +35916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.590225926,0.999 +35917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.113225727,0.999 +35918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.905340298,0.999 +35914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.199270264,0.999 +35919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.462826943,0.999 +35920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.629398297,0.999 +35921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,-0.669730187,0.999 +35922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.706612908,0.999 +35923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.193886074,0.999 +35924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.690526538,0.999 +35926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.735914945,0.999 +35925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.900500444,0.999 +35927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.269038252,0.999 +35928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.363827085,0.999 +35929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.992202944,0.999 +35930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.017378797,0.999 +35931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.907658581,0.999 +35932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.63188053,0.999 +35934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.677731122,0.999 +35935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.126029578,0.999 +35936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.454944627,0.999 +35933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.42686302,0.999 +35937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.689271985,0.999 +35938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.246801604,0.999 +35939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.874714981,0.999 +35940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.898449801,0.999 +35943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.8611793,0.999 +35942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.45129297,0.999 +35941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.730365001,0.999 +35944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.501451469,0.999 +35945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.588265827,0.999 +35946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.820056694,0.999 +35947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.451124225,0.999 +35948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.216086348,0.999 +35949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.424688457,0.999 +35950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.883523666,0.999 +35951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.88500763,0.999 +35953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.810799584,0.999 +35954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.710064733,0.999 +35955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.986853456,0.999 +35952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.492448862,0.999 +35956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.853266533,0.999 +35957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.786316039,0.999 +35958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,8.096162107,0.999 +35959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.928153606,0.999 +35960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.02580875,0.999 +35961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,8.592711882,0.999 +35962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.327383909,0.999 +35963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.293486014,0.999 +35964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.838788047,0.999 +35965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.067228808,0.999 +35966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.333601062,0.999 +35969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.433998606,0.999 +35968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.316311562,0.999 +35970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.481594444,0.999 +35967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.659394766,0.999 +35973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.81317579,0.999 +35972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.598274483,0.999 +35971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.604673046,0.999 +35974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.97645846,0.999 +35975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.322456428,0.999 +35977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,5.018691524,0.999 +35976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.145607293,0.999 +35979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.584248159,0.999 +35980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.953574309,0.999 +35981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.388347906,0.999 +35978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.161512253,0.999 +35982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.316275289,0.999 +35983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.631447973,0.999 +35984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.91185509,0.999 +35985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,7.210288842,0.999 +35986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.261001676,0.999 +35988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.485274922,0.999 +35987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.871985593,0.999 +35990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.433987793,0.999 +35989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.553020412,0.999 +35991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.636637335,0.999 +35992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.525611107,0.999 +35993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.281421482,0.999 +35995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,1.481555209,0.999 +35994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,2.407034139,0.999 +35996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.780307552,0.999 +35997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,4.44792495,0.999 +35998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,6.501927781,0.999 +36000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,9.051415451,0.999 +35999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,6,1,3.684633648,0.999 +45002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.656534704,1 +45001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.378171821,1 +45003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.322237811,1 +45004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.800568457,1 +45005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.299771158,1 +45007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.85455046,1 +45008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.261959136,1 +45006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.094204839,1 +45009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.603161668,1 +45010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.461013025,1 +45012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.784046331,1 +45013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.582540181,1 +45011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.973038249,1 +45014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.027980885,1 +45016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.636712949,1 +45017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.014994962,1 +45018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.377284085,1 +45019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.921800977,1 +45020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,9.512147674,1 +45021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.75194584,1 +45022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.36097039,1 +45015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.800736915,1 +45024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.761962533,1 +45023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.505170496,1 +45025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.335351348,1 +45026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.683323514,1 +45027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.16844124,1 +45028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.185852963,1 +45030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.695311402,1 +45029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.858818516,1 +45031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.652471276,1 +45032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.777554161,1 +45033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.566623879,1 +45035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.873595547,1 +45034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.695384984,1 +45036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.338687709,1 +45038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.063260216,1 +45039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,7.355015278,1 +45040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.018011215,1 +45042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.734938628,1 +45041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.614531735,1 +45037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.92539326,1 +45043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.925614709,1 +45046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,7.993993794,1 +45044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.185293536,1 +45045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,9.051969116,1 +45047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.534305776,1 +45048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,8.575483155,1 +45049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.020129659,1 +45050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.997836912,1 +45051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.37805353,1 +45052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.369039703,1 +45053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.27577956,1 +45054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.535888479,1 +45055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.801882172,1 +45057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,0.956963982,1 +45058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.638504136,1 +45059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.218110255,1 +45056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.986497634,1 +45060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.873077329,1 +45062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.804600618,1 +45061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.17249473,1 +45064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.287779855,1 +45063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.447241289,1 +45065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.014346905,1 +45066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.278056363,1 +45067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.251628363,1 +45068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.518842504,1 +45069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.465717357,1 +45070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.436342575,1 +45071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.753136004,1 +45073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.547872542,1 +45074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.655115449,1 +45072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.804336236,1 +45077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.615921709,1 +45075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.457576055,1 +45076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.367117587,1 +45078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.247624117,1 +45079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.815187488,1 +45081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.937139926,1 +45080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.43283307,1 +45082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.618707727,1 +45083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.766870335,1 +45084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.141147191,1 +45085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.271856636,1 +45086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.605362932,1 +45087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.251439391,1 +45088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.228553779,1 +45089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.695849717,1 +45093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.033864971,1 +45090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.109925567,1 +45092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.051807789,1 +45091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.055237274,1 +45094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.924796314,1 +45096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.130798037,1 +45095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.502005035,1 +45097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.04816191,1 +45099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,8.98785355,1 +45098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.90862977,1 +45101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.540991493,1 +45100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.300804063,1 +45102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.645944441,1 +45103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.879851352,1 +45104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.815982243,1 +45106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.427767628,1 +45105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.776362407,1 +45107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.718144356,1 +45109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.195388025,1 +45111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.380427719,1 +45108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.531198623,1 +45110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.671273012,1 +45112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.103240535,1 +45113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.716828009,1 +45116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.173713226,1 +45114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.513322616,1 +45115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.084105185,1 +45117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.80249256,1 +45119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.101819831,1 +45120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.10127825,1 +45118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.363753506,1 +45121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.652660055,1 +45123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.196031997,1 +45124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.135702274,1 +45125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.61773307,1 +45122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.879671469,1 +45127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.199668603,1 +45128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.955677066,1 +45126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.589727857,1 +45129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.278906673,1 +45130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.089865046,1 +45131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.424230333,1 +45133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.104620811,1 +45134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.221114587,1 +45132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.201981536,1 +45136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.238429474,1 +45135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,8.415078349,1 +45138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.563306634,1 +45137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.367321173,1 +45140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.894055985,1 +45141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,8.714252106,1 +45142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.575469797,1 +45143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.751744699,1 +45144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.81795706,1 +45139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.565942317,1 +45145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.13914843,1 +45146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.228232845,1 +45148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.794097259,1 +45149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.801775038,1 +45150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.211039443,1 +45151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.032238564,1 +45147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.385643175,1 +45152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.962001137,1 +45154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.536106158,1 +45153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.429752385,1 +45155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.296601527,1 +45156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.728581326,1 +45158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.069307209,1 +45159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.919951432,1 +45160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.094297581,1 +45161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.805720314,1 +45162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.114032694,1 +45157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.145684861,1 +45163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.882016668,1 +45164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.418479812,1 +45166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.528164452,1 +45165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.015757423,1 +45167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.46824591,1 +45168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.308706439,1 +45169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.378437647,1 +45170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.885475223,1 +45171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.229243237,1 +45173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.15989438,1 +45172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.47509915,1 +45174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.744407046,1 +45175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.793953442,1 +45176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.597026533,1 +45178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.401880562,1 +45179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.059180069,1 +45180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.871399409,1 +45177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.124940204,1 +45182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.757324681,1 +45181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,7.235135163,1 +45184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.780914403,1 +45183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.484439772,1 +45185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.121643166,1 +45186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.992507455,1 +45187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.738672525,1 +45188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.882305632,1 +45189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.290884139,1 +45190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.810495499,1 +45191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.748255152,1 +45192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.257496472,1 +45193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.500105648,1 +45194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.03194984,1 +45196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.60032753,1 +45197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.482442598,1 +45195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.804378693,1 +45198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.825434998,1 +45199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.344951884,1 +45200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.42483206,1 +45201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.772380952,1 +45202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.43173875,1 +45203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.914243929,1 +45204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.007705615,1 +45206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.096196868,1 +45205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.876805157,1 +45207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.705062407,1 +45209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.255058524,1 +45208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.539892387,1 +45211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.43654556,1 +45213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.689781404,1 +45210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.425172017,1 +45212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.231317665,1 +45214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.765605726,1 +45215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.361988875,1 +45216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.330967236,1 +45217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.133006037,1 +45218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.518784227,1 +45219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.108116445,1 +45220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.489106695,1 +45221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.765607865,1 +45222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.783243408,1 +45223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.381001107,1 +45225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.781552923,1 +45226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.771170985,1 +45224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.049452106,1 +45227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.182070282,1 +45228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.628401247,1 +45230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.681366808,1 +45229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.81841579,1 +45231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.092746491,1 +45232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.446241754,1 +45234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,8.82508015,1 +45236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.182265306,1 +45235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.299039714,1 +45237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.876966385,1 +45238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.862532206,1 +45239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.392669458,1 +45240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.800176478,1 +45233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.79006514,1 +45241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.331824672,1 +45242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.202955984,1 +45244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.939421241,1 +45243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.876762189,1 +45246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.817977414,1 +45247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.72024421,1 +45245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.421385431,1 +45248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.315195857,1 +45249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.774372023,1 +45251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.028592434,1 +45252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.287122315,1 +45253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,7.741593967,1 +45254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.555877613,1 +45250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.977937565,1 +45255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.159594052,1 +45256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.807411939,1 +45257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.362819875,1 +45258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.533096865,1 +45259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.659290203,1 +45260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.666051595,1 +45261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.175132659,1 +45262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.449604815,1 +45263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.909741717,1 +45264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.090900501,1 +45265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.351151158,1 +45266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.472587741,1 +45267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.360630511,1 +45268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.283551871,1 +45269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.801391555,1 +45271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.402151473,1 +45272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.655584203,1 +45273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.485851186,1 +45274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.86212513,1 +45270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.871778028,1 +45275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.268893841,1 +45276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.608418997,1 +45277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.513670952,1 +45278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.713886644,1 +45279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.058624225,1 +45280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.2225362,1 +45282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.039141739,1 +45281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.23431955,1 +45283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.270758095,1 +45284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.880474685,1 +45286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.375632494,1 +45285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.969241267,1 +45287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.199117713,1 +45288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.172503881,1 +45289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.152932426,1 +45291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.357946388,1 +45292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.516199873,1 +45293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.456816647,1 +45290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.705606706,1 +45294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.266657989,1 +45296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,7.591510658,1 +45295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.62504022,1 +45297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.835276943,1 +45298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.377491687,1 +45299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.171343288,1 +45300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,7.584577191,1 +45302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.753108858,1 +45301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.013700556,1 +45303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.327336874,1 +45304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.760488018,1 +45305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.956915516,1 +45306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.431157733,1 +45308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,7.222091736,1 +45310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.606754372,1 +45309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,8.983838914,1 +45307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.704378031,1 +45311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.796729572,1 +45313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.077334108,1 +45314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.754150405,1 +45312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.472865964,1 +45316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.017153693,1 +45317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.056623723,1 +45315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,7.049371912,1 +45318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.608286068,1 +45319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.363248751,1 +45320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.489962484,1 +45321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.957905357,1 +45322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.325277521,1 +45323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.240639736,1 +45324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.472178236,1 +45326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.657923288,1 +45327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.438347234,1 +45328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.234200031,1 +45325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.964977904,1 +45329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.198378318,1 +45330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.260120812,1 +45331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.808853974,1 +45333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.655375625,1 +45334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.291469889,1 +45335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.544929202,1 +45332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.410585279,1 +45337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.998914804,1 +45339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.307617516,1 +45336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,7.191594916,1 +45338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.237195478,1 +45340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.143901511,1 +45341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.259110895,1 +45342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.411981418,1 +45344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.127373015,1 +45343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.379694924,1 +45346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.278677565,1 +45345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.072157998,1 +45347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,7.379807651,1 +45348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.753308422,1 +45349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,7.090004691,1 +45352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.854269054,1 +45350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,8.775865855,1 +45351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.94225466,1 +45355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.834953459,1 +45354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.319138151,1 +45353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.182905703,1 +45356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.373887871,1 +45357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.504924033,1 +45359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.071813641,1 +45361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.435566973,1 +45360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.560759258,1 +45358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.879696937,1 +45362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.80523811,1 +45364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.262916823,1 +45365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.909670106,1 +45366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.917231811,1 +45363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.160679958,1 +45368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.846084275,1 +45367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.053480543,1 +45370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.150559873,1 +45369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.472178002,1 +45371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.530294668,1 +45372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.180979565,1 +45373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.104588627,1 +45374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.465630049,1 +45376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.93739761,1 +45377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.987211673,1 +45375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.271175507,1 +45378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.645892204,1 +45379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.102455663,1 +45380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.159873417,1 +45381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,7.629903646,1 +45382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.286510114,1 +45384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.376849845,1 +45383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.126906574,1 +45385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.336517825,1 +45386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.407081486,1 +45387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.540464013,1 +45388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.607348962,1 +45389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.269274933,1 +45391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.699594292,1 +45390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.219333214,1 +45392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,7.143321159,1 +45393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.386283741,1 +45395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.750710582,1 +45396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.068239371,1 +45397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.671443156,1 +45394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.949631883,1 +45399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.365579878,1 +45398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.188757746,1 +45400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.569114612,1 +45401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,8.567847256,1 +45402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,7.070085161,1 +45403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.586435306,1 +45404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.752634608,1 +45405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.317250246,1 +45406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.481737722,1 +45407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.176114593,1 +45409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.257836325,1 +45410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.475055626,1 +45408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.485423733,1 +45411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.827172257,1 +45412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.886903009,1 +45414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.740234221,1 +45413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.026283064,1 +45415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.126707454,1 +45416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.920054729,1 +45417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.82079281,1 +45418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.639416879,1 +45419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.045517121,1 +45420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.669755482,1 +45421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.827240008,1 +45422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.378392791,1 +45423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.917612054,1 +45424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.41223726,1 +45425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,8.540318104,1 +45426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.520582739,1 +45427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.930057218,1 +45428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.878225251,1 +45430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.308520363,1 +45429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.531569876,1 +45431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.578791325,1 +45432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.623721244,1 +45433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.695114633,1 +45434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.125846595,1 +45436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.092285105,1 +45435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.22887777,1 +45437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.535553623,1 +45440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.306946962,1 +45438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.481284249,1 +45441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.843198907,1 +45439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.127484911,1 +45443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.331489667,1 +45442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.232930327,1 +45445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.435077166,1 +45444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.60055753,1 +45446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,7.19896399,1 +45447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.973196718,1 +45449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.989004416,1 +45450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.516299089,1 +45451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.26638327,1 +45448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.43994651,1 +45452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.091569447,1 +45453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.335485097,1 +45454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.944965084,1 +45455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.135674762,1 +45457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.214756421,1 +45456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,7.413936459,1 +45458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,7.180192818,1 +45459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.720199522,1 +45460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.07440939,1 +45462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.918475583,1 +45463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.373274764,1 +45464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.447967887,1 +45461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.475728076,1 +45465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.735776788,1 +45467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.647597688,1 +45468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.120885357,1 +45469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.093265497,1 +45470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.882507188,1 +45471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.762844549,1 +45472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.121801499,1 +45466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.447181548,1 +45473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.260283857,1 +45474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.27160203,1 +45475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.75990655,1 +45476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.927721337,1 +45478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.552356512,1 +45477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.137201061,1 +45479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.84073557,1 +45480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.244397993,1 +45482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.85855839,1 +45483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.617033257,1 +45484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.247011761,1 +45481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.910419647,1 +45485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.944376565,1 +45486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.43099516,1 +45488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.395973196,1 +45489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.976103839,1 +45487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.985793322,1 +45491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.256069362,1 +45490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.499286374,1 +45493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.14364632,1 +45492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.188807767,1 +45494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.068535424,1 +45495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.619827846,1 +45497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.002903853,1 +45496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.821096803,1 +45499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.741741899,1 +45500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.77337284,1 +45501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.318188139,1 +45498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.943540483,1 +45502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.153925742,1 +45503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.590673315,1 +45505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.432132457,1 +45507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.925695927,1 +45506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.892412708,1 +45504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.844508866,1 +45508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.291183908,1 +45509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.840160954,1 +45510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.242682476,1 +45511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,7.302044252,1 +45513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.698711263,1 +45512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.383158446,1 +45514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.434395932,1 +45515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,8.111868589,1 +45516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.235049885,1 +45518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.785842383,1 +45519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.020948943,1 +45517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.049096419,1 +45520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.661138991,1 +45521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.235510488,1 +45523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.416103346,1 +45524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.690290481,1 +45522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.946863686,1 +45527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.355115657,1 +45526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.860164179,1 +45525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.293069896,1 +45528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.840577269,1 +45529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.28213415,1 +45530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.162980179,1 +45531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.595548444,1 +45532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.992712765,1 +45533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.648929798,1 +45535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.671409638,1 +45534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.847760796,1 +45538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.573321062,1 +45537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.282655679,1 +45536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.228005237,1 +45539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.355315795,1 +45541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.649301288,1 +45540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.132731495,1 +45542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.88924626,1 +45543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.695238763,1 +45545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,8.564137585,1 +45544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,7.092686049,1 +45547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.98452227,1 +45546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.373802586,1 +45548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.682895816,1 +45549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,7.975213334,1 +45551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.389082504,1 +45552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.605979364,1 +45550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.17095759,1 +45553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.960847778,1 +45554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.418046056,1 +45556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.408306503,1 +45555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.60507709,1 +45557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.07136042,1 +45559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.688932314,1 +45558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.809222992,1 +45560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.825797639,1 +45561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.664405722,1 +45562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.125449953,1 +45564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.691568234,1 +45563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.186818848,1 +45565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.516484012,1 +45567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.21876511,1 +45566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.581106602,1 +45568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.389773479,1 +45569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.923586089,1 +45571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.363773198,1 +45572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.476759582,1 +45573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.292131128,1 +45574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.64384384,1 +45570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.277954581,1 +45576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.69006527,1 +45577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.795241692,1 +45575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.203327805,1 +45579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.614929453,1 +45578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.240427374,1 +45581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.233984265,1 +45582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.971950214,1 +45580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,7.013309897,1 +45583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.977647638,1 +45584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.704335095,1 +45585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.669037461,1 +45586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.822990226,1 +45587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.877885506,1 +45588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.942664187,1 +45589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.613528127,1 +45590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.960938115,1 +45593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.31172871,1 +45592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.416983924,1 +45594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.803899106,1 +45591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.386267253,1 +45596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.66263803,1 +45595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.259203696,1 +45598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.734163288,1 +45597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.99048034,1 +45599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,8.022212483,1 +45600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,8.581329235,1 +45601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.979643221,1 +45602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.535100015,1 +45604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.652123566,1 +45605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.330173761,1 +45606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.198862124,1 +45603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.054292862,1 +45607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.072493951,1 +45609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.79388393,1 +45610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.893148995,1 +45611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.374659149,1 +45608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.629406991,1 +45613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.893553277,1 +45612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.01927092,1 +45615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.268745491,1 +45614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.146239185,1 +45617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.769450829,1 +45618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,7.226685097,1 +45619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.159658836,1 +45616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.832722327,1 +45620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.837517959,1 +45621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.228695968,1 +45622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.052350502,1 +45623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.153388176,1 +45624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.130442505,1 +45626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.338067549,1 +45627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.482339575,1 +45625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.749646015,1 +45628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.877243201,1 +45630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.732015581,1 +45631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.931070804,1 +45629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.806161849,1 +45632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.593624854,1 +45633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.355055492,1 +45634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.785241187,1 +45636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.176045698,1 +45637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.140092394,1 +45635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.291643589,1 +45638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.990427202,1 +45640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.556422693,1 +45639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.964467342,1 +45642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.42598845,1 +45641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.964390082,1 +45644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.139358255,1 +45643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.235208278,1 +45646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.635283399,1 +45645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,7.863875195,1 +45647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.861169824,1 +45648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.155962722,1 +45650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.707838838,1 +45651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.407446487,1 +45652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,7.200501308,1 +45649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.606272284,1 +45653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.895853765,1 +45655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.697376878,1 +45654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.276473183,1 +45657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.020380496,1 +45656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.578289898,1 +45658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.638720202,1 +45659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.857467872,1 +45661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.508421701,1 +45660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.451993969,1 +45662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.394548379,1 +45663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.017364201,1 +45664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.132254314,1 +45666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.298311557,1 +45665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.16896637,1 +45667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.69359014,1 +45670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.133549299,1 +45669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.206045189,1 +45671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.052351705,1 +45672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.328061732,1 +45673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.503766819,1 +45668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.059800459,1 +45674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.464422348,1 +45677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.310202668,1 +45675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.05562291,1 +45676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.711110425,1 +45678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.059746961,1 +45680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.674851827,1 +45681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.808230492,1 +45682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.134174007,1 +45679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.027389343,1 +45683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.846896179,1 +45684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.407019732,1 +45685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.049692167,1 +45686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.430710899,1 +45688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.465548118,1 +45687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.756884324,1 +45689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,7.985261572,1 +45690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.657800638,1 +45691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.592939078,1 +45692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.271667724,1 +45693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.660301206,1 +45694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.129873204,1 +45696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.007090657,1 +45697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.117700942,1 +45695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.653436226,1 +45698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.992993476,1 +45699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.969396941,1 +45700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.648860566,1 +45702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.230901665,1 +45701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.129875432,1 +45703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.159405866,1 +45704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.276913263,1 +45706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.681758174,1 +45705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.078531204,1 +45708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.417973934,1 +45707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.380412716,1 +45710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.966972951,1 +45711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.49043594,1 +45712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.186771607,1 +45713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.35164496,1 +45709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.863394219,1 +45714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.892539397,1 +45716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.032634579,1 +45715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.714675123,1 +45718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.114425552,1 +45720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.196558922,1 +45717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.846093482,1 +45719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.260311708,1 +45722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.119630367,1 +45723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.510840261,1 +45721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.891476014,1 +45724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.420877691,1 +45725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.28517908,1 +45727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.901969314,1 +45728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.229129785,1 +45729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.741361942,1 +45730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.365876072,1 +45731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.406707101,1 +45726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.15932914,1 +45732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.751996609,1 +45733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.161336225,1 +45734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,8.33651702,1 +45735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.635894298,1 +45736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.633176848,1 +45737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.49304298,1 +45738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.761219686,1 +45740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.190273629,1 +45739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.04285567,1 +45741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.135236631,1 +45742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,7.709316013,1 +45743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.694997923,1 +45744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.334265178,1 +45745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,7.451691804,1 +45746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.475403726,1 +45747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.360600749,1 +45750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.647231494,1 +45749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.474208473,1 +45748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.275887043,1 +45751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.301000166,1 +45753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.995873375,1 +45752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.549776046,1 +45754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.621750945,1 +45755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.553397362,1 +45756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.347120959,1 +45757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.72559596,1 +45758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.12997112,1 +45759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.139860454,1 +45760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.394770091,1 +45761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.801522037,1 +45762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.00490207,1 +45763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.663848169,1 +45764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.316793655,1 +45765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.244858506,1 +45767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.983945307,1 +45768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.451164787,1 +45769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.521641144,1 +45766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.899600097,1 +45770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.327251784,1 +45772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.011988705,1 +45771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.324284782,1 +45773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.88469837,1 +45775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.458299646,1 +45774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.549515496,1 +45776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.53953352,1 +45777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.828048174,1 +45778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.728809089,1 +45780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.177653632,1 +45779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.579773258,1 +45784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.029939104,1 +45783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.602480771,1 +45782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.47846676,1 +45781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.020582972,1 +45785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.668501197,1 +45786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.116985392,1 +45788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.802994392,1 +45789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.038534598,1 +45787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.327809775,1 +45792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.994235082,1 +45791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.787560634,1 +45793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.662911985,1 +45790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.04070012,1 +45796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.73400931,1 +45795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.005237896,1 +45797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.755617987,1 +45794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.320977026,1 +45798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.748236351,1 +45800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.066234282,1 +45801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.822600629,1 +45799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.044700788,1 +45804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.165023941,1 +45802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.676114755,1 +45805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.205600861,1 +45806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.741294475,1 +45807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.823696334,1 +45803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.555877983,1 +45808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.145726905,1 +45809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.684222661,1 +45810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.228478239,1 +45811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.23703913,1 +45812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.271305846,1 +45814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,8.745996794,1 +45815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,0.880974119,1 +45813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.414909071,1 +45818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.58050742,1 +45819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.500743865,1 +45816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.409477231,1 +45817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.69941762,1 +45821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.838035603,1 +45822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.381758779,1 +45824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.898718969,1 +45820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.01145244,1 +45823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.134116131,1 +45825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.221944644,1 +45828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.027606665,1 +45827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.845670484,1 +45829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.854767451,1 +45826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.23455373,1 +45830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.521804843,1 +45831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.006995605,1 +45833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,7.904762031,1 +45835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.676497759,1 +45836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.084306332,1 +45837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.376814918,1 +45832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.667254683,1 +45834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.826851896,1 +45838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.618349425,1 +45840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.526591164,1 +45841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.582955081,1 +45843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.380856208,1 +45842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.93794746,1 +45844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.036647633,1 +45839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.520517868,1 +45845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.846701549,1 +45847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.940518538,1 +45848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.800617223,1 +45846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.207655878,1 +45850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.757527611,1 +45852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.423476621,1 +45851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.53549674,1 +45849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.710630903,1 +45854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.453615632,1 +45855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.062060658,1 +45856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.797790036,1 +45857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.817324216,1 +45853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.308642119,1 +45858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,7.072090629,1 +45859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.91519717,1 +45861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.619698817,1 +45860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.846698264,1 +45863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.359748191,1 +45862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.89149345,1 +45864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.325943967,1 +45865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.889102926,1 +45866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.953247001,1 +45869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.527218489,1 +45868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.196067532,1 +45870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.49868168,1 +45867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.638287773,1 +45871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.129592211,1 +45874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,7.003247601,1 +45873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.615138446,1 +45872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.571317034,1 +45875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.77655751,1 +45877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.271404871,1 +45876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.064137975,1 +45878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.568099228,1 +45879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.072559811,1 +45880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.513301186,1 +45883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.929939652,1 +45882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.113796948,1 +45881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.07701811,1 +45884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.616814528,1 +45885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.104205285,1 +45886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.405909871,1 +45888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.719924913,1 +45887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.483775714,1 +45890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.798945646,1 +45889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.736210179,1 +45891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.394485828,1 +45892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.976790619,1 +45894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.237532747,1 +45893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.311641972,1 +45895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.584884611,1 +45898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.799342248,1 +45896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.621430357,1 +45897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.081022381,1 +45899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.133527263,1 +45900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.678341912,1 +45902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.391778561,1 +45901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.956097475,1 +45903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.954005065,1 +45904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.439620894,1 +45905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.693476274,1 +45906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.14701874,1 +45907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.346943459,1 +45909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.026311124,1 +45908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.143210456,1 +45910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.205174272,1 +45912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.387180179,1 +45911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.031382541,1 +45913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.555190816,1 +45914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,7.283786285,1 +45915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.303544202,1 +45916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.399617041,1 +45917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.112926231,1 +45919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.54000703,1 +45920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.751585081,1 +45921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.333617935,1 +45918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.01540216,1 +45922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.253016787,1 +45923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,8.02728759,1 +45924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.989019805,1 +45925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.430524303,1 +45927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.039943244,1 +45926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.391020292,1 +45928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.268430664,1 +45929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.510548931,1 +45930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.852306265,1 +45931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.31192738,1 +45932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.06974707,1 +45933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.945748411,1 +45934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.486936236,1 +45935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.540383827,1 +45937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.264187992,1 +45938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.268007856,1 +45939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.082601588,1 +45940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.116107973,1 +45936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.360575429,1 +45941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.452209894,1 +45942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.38271216,1 +45943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.798162973,1 +45945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.677909571,1 +45946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,7.044479924,1 +45944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.298510797,1 +45947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.834993976,1 +45948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,7.187955813,1 +45949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.481675721,1 +45951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.659202234,1 +45950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.588104211,1 +45952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.081003158,1 +45953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.522801501,1 +45955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.698387483,1 +45956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.706467508,1 +45957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.333408907,1 +45954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.439591672,1 +45959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.405851008,1 +45960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.032020374,1 +45961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.113829191,1 +45958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.251251967,1 +45962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.425316748,1 +45963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.568039994,1 +45964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.236155166,1 +45965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.479677457,1 +45966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.92069418,1 +45967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.80739588,1 +45969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.288143764,1 +45968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.395108072,1 +45970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.620479493,1 +45971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.128459698,1 +45972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.001151837,1 +45975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.212952356,1 +45974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.315564664,1 +45973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.598733608,1 +45977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.109256141,1 +45978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.9169585,1 +45976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.848471008,1 +45979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.356084512,1 +45982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.920266174,1 +45980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.220686029,1 +45981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.725426081,1 +45984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.418447817,1 +45985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,6.067715352,1 +45986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.479602522,1 +45983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.296168485,1 +45987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.727399819,1 +45988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,2.115909049,1 +45989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.568318518,1 +45990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.770454869,1 +45991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,7.550223083,1 +45992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.673369157,1 +45993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.484215868,1 +45994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,0.911919805,1 +45996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.419551861,1 +45997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,5.902397234,1 +45998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,4.568165435,1 +45995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,1.63746036,1 +45999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.875119243,1 +46000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,6,1,3.165198621,1 +55001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,8.28723557,1 +55002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.728607901,1 +55004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.729709996,1 +55005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.61614784,1 +55003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.827699381,1 +55006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.758167071,1 +55007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.60847792,1 +55008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.302435322,1 +55010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.606155803,1 +55009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.844712846,1 +55011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.894901205,1 +55013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.833851876,1 +55012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.389578767,1 +55015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.029674587,1 +55014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.725767922,1 +55016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.463290595,1 +55017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.884073506,1 +55018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.764770505,1 +55019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.440666565,1 +55020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.573209044,1 +55021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.47205326,1 +55022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.517842113,1 +55023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.703403319,1 +55024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.557459308,1 +55025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.969340332,1 +55026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.695307173,1 +55028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.517878944,1 +55029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.998050759,1 +55027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.521386558,1 +55030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.455731277,1 +55031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.354369374,1 +55032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.649156761,1 +55033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.724789676,1 +55035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.859383473,1 +55034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.889545109,1 +55036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.786860108,1 +55037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.133909735,1 +55038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.125655568,1 +55039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.888021821,1 +55040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.895029645,1 +55042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,8.524487984,1 +55043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.317869733,1 +55041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.570869227,1 +55044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.14719936,1 +55046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.814617842,1 +55045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.479458077,1 +55047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.160917519,1 +55048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.878021537,1 +55049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.937918996,1 +55051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.584213487,1 +55050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.368708593,1 +55052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.725316441,1 +55053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.249287232,1 +55054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.65794245,1 +55055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.786952207,1 +55056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.995105105,1 +55057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.895558278,1 +55058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.996130193,1 +55059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.722292469,1 +55060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.106833531,1 +55061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.331910968,1 +55062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.930897172,1 +55064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.829146436,1 +55065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.152462912,1 +55066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.910640779,1 +55068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.293240043,1 +55063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.770701753,1 +55067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.227275306,1 +55069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.173713686,1 +55070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.584115645,1 +55072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.117392564,1 +55073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.976160937,1 +55071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,7.47305439,1 +55074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.397664132,1 +55076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.73261563,1 +55077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.554451029,1 +55075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.848955476,1 +55078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.282178007,1 +55081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.165198134,1 +55079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.163689763,1 +55080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.55270858,1 +55082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.192230461,1 +55083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.306590324,1 +55084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.540081602,1 +55086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.934331075,1 +55087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.008936642,1 +55088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.450374806,1 +55085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.599371344,1 +55090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.502516761,1 +55089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.896367841,1 +55091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.830803099,1 +55092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.565829078,1 +55093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.22193769,1 +55095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.823930696,1 +55094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.249878076,1 +55096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.257416373,1 +55097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.731431259,1 +55098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.892509675,1 +55099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.940312197,1 +55101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.164269744,1 +55103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.40737791,1 +55102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.448883614,1 +55100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.785192815,1 +55104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.14054021,1 +55106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.502568005,1 +55105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.043402246,1 +55108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.024232217,1 +55107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.116270137,1 +55109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.712459705,1 +55110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.970469093,1 +55111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.723780797,1 +55113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.115416221,1 +55112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.11209769,1 +55114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.623441824,1 +55115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,0.926479708,1 +55116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.116256001,1 +55117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.472465693,1 +55118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.440788494,1 +55119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.758104316,1 +55120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.647232928,1 +55122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.741007456,1 +55123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.185986461,1 +55121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.953046359,1 +55124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.964045459,1 +55125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.965878753,1 +55126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.52695127,1 +55127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.084328508,1 +55128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.948584079,1 +55129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.180331598,1 +55130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.390251274,1 +55132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.222004032,1 +55131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.346346264,1 +55133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.158935831,1 +55134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.485367241,1 +55136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.662487221,1 +55135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.002744212,1 +55137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.204230851,1 +55138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.077039708,1 +55139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.897914238,1 +55140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.492236235,1 +55141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.232685705,1 +55142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.99637666,1 +55143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.155191029,1 +55144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.073595097,1 +55145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.061638497,1 +55146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.993045523,1 +55147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.618216882,1 +55148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.62790154,1 +55149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.581448584,1 +55150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.342578801,1 +55154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.966982918,1 +55152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.921912868,1 +55153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.672066162,1 +55155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.499991451,1 +55156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.025175925,1 +55157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.76066537,1 +55151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.37650113,1 +55158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.481072338,1 +55159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.049579854,1 +55160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.271845872,1 +55162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.034027976,1 +55163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.403840536,1 +55164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.929948983,1 +55161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.125939621,1 +55166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.016526613,1 +55167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.742340048,1 +55165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.088728879,1 +55168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.605152145,1 +55169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,7.10285229,1 +55170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.700466349,1 +55171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.714997327,1 +55173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.671818689,1 +55172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.859318272,1 +55174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.556093564,1 +55175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.287134199,1 +55176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.228877343,1 +55178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.724753849,1 +55179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.209546095,1 +55180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.238349271,1 +55177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.820305023,1 +55181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.703069033,1 +55182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.426782914,1 +55183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.954622982,1 +55184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.435501006,1 +55185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.178910975,1 +55186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.014674839,1 +55187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.857219687,1 +55188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.760958041,1 +55189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.789543687,1 +55190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.281704587,1 +55191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.623126018,1 +55192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.405473208,1 +55193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.757686099,1 +55194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.597115532,1 +55195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,7.664580317,1 +55197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.056692794,1 +55198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.118563996,1 +55199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.950661574,1 +55200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,8.549707872,1 +55196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.615464483,1 +55201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.482942688,1 +55202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.967902808,1 +55203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.917147757,1 +55204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.189431391,1 +55205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.143238913,1 +55206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.400025247,1 +55207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.014561029,1 +55208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.899299029,1 +55209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.27501546,1 +55210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.491245671,1 +55211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.180706619,1 +55213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.473212518,1 +55214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.971834131,1 +55212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.34960522,1 +55215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.486874257,1 +55217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.662314667,1 +55216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.77158972,1 +55218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.541266757,1 +55219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.733135779,1 +55220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.368388375,1 +55221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.789649769,1 +55223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.683967014,1 +55222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,8.442536997,1 +55224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.232528817,1 +55225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.756209285,1 +55227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.663272274,1 +55226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.394260087,1 +55228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.748983123,1 +55229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.619284423,1 +55230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.920334248,1 +55231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.765052695,1 +55232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.787599364,1 +55233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,7.669442381,1 +55234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.462546922,1 +55235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.776772267,1 +55236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.71984467,1 +55237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.915126831,1 +55238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.965268316,1 +55239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.775386979,1 +55240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.843353737,1 +55241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.828827806,1 +55243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.737363286,1 +55244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.787705268,1 +55242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.838564342,1 +55245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.05935452,1 +55246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.314454594,1 +55247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.389085394,1 +55248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.666740793,1 +55250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.612098446,1 +55251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.29431915,1 +55252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.625006522,1 +55249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.250997856,1 +55253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.953861091,1 +55254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.514821369,1 +55255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.139485743,1 +55256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.394795021,1 +55257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.912900547,1 +55258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.869653726,1 +55260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.437949963,1 +55259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.546116558,1 +55261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.89031866,1 +55262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.231628324,1 +55264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.807648389,1 +55265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.40512433,1 +55266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.162904935,1 +55263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.044166973,1 +55267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.010391131,1 +55268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.395121122,1 +55269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.140233441,1 +55271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.419966598,1 +55270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.960363913,1 +55272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.250560218,1 +55275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.932667437,1 +55273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.984220662,1 +55274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.774707621,1 +55276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,7.001562629,1 +55277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.415837762,1 +55278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.811717137,1 +55279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.307325148,1 +55280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.942054296,1 +55282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.232994667,1 +55283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.388638246,1 +55284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.179424071,1 +55281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.664566138,1 +55285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.826480878,1 +55286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.620974962,1 +55288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.965733523,1 +55287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,7.532073247,1 +55289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,8.606707159,1 +55291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.69509563,1 +55290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,7.608806638,1 +55292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.630439772,1 +55293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.386138693,1 +55294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.522094458,1 +55296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.920978272,1 +55295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.648187557,1 +55297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.433021309,1 +55298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.998341482,1 +55299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.768782963,1 +55301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.442675519,1 +55300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.367012313,1 +55304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.920674534,1 +55305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.122666224,1 +55302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.611232374,1 +55303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.37250471,1 +55308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.649949134,1 +55306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,0.990316927,1 +55309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.480078894,1 +55310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.540452593,1 +55311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.759696924,1 +55312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.449274588,1 +55307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.583644583,1 +55313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.546471884,1 +55314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.333081606,1 +55315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.81347216,1 +55316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.913331812,1 +55318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.529292416,1 +55317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.68895201,1 +55320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.936188843,1 +55319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.73032546,1 +55321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.980584721,1 +55322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.348872038,1 +55324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.041164386,1 +55325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.882048858,1 +55326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.080912469,1 +55327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.597813504,1 +55323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.458842189,1 +55328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.970933436,1 +55329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.875261233,1 +55330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.910196628,1 +55331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.412758555,1 +55334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.447702454,1 +55333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.167455526,1 +55332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.61429218,1 +55335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.288674588,1 +55337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.67159011,1 +55338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.077360074,1 +55336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.425813493,1 +55339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.192074758,1 +55341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.535376288,1 +55340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.83125265,1 +55342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.918491772,1 +55344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.254431478,1 +55345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.659353834,1 +55346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.89164419,1 +55343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.699751697,1 +55349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.879897711,1 +55347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.669081496,1 +55348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.138771287,1 +55350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.544065735,1 +55352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.906325348,1 +55353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.431488532,1 +55351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.474190841,1 +55354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.776675202,1 +55355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.196498056,1 +55356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.886734916,1 +55357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.299846295,1 +55359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.046992591,1 +55358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.435173898,1 +55360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.472448487,1 +55361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.040957136,1 +55365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.918600712,1 +55363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.272175638,1 +55364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.093905721,1 +55362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.570641596,1 +55367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.632739168,1 +55369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.975876514,1 +55368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.94895287,1 +55366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.708011297,1 +55370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.206354612,1 +55371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.852823115,1 +55372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.740722893,1 +55373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.479408208,1 +55374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.762364303,1 +55377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.963537287,1 +55376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.71172458,1 +55375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.834004345,1 +55379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.707268338,1 +55380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.227425129,1 +55378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.333654383,1 +55381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.483034466,1 +55383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.683872149,1 +55384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.601019462,1 +55382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.742403546,1 +55385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.708282357,1 +55386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.771289691,1 +55387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.879723794,1 +55388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.215162714,1 +55391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.239119175,1 +55390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.810853963,1 +55392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.403045478,1 +55389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.225577235,1 +55393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.240074122,1 +55394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.663875203,1 +55395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.796432037,1 +55396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.974242711,1 +55398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.348627581,1 +55397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.962226182,1 +55399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.191946513,1 +55400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.283102018,1 +55401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.510034129,1 +55403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.17292921,1 +55405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.953984627,1 +55404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.104060248,1 +55406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.591560695,1 +55402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.493943479,1 +55407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.921407076,1 +55408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,7.317968292,1 +55409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.808080269,1 +55410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.445034609,1 +55413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.141617487,1 +55411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.926884969,1 +55414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.616953832,1 +55412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.258271217,1 +55416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.251449806,1 +55417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.956705928,1 +55415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.305170654,1 +55418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.778706608,1 +55419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.269375281,1 +55420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.85567575,1 +55423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.089632888,1 +55422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,7.176621012,1 +55424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.971335584,1 +55421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.085865696,1 +55426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.008697367,1 +55428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.999262169,1 +55425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.780745515,1 +55427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.646757731,1 +55429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.527382238,1 +55431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.884938974,1 +55430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.33306,1 +55432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.240378069,1 +55434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.069369442,1 +55436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.055144759,1 +55433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.42309912,1 +55437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.483103583,1 +55438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.35198108,1 +55435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.731332703,1 +55439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.811363016,1 +55442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.61016028,1 +55440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.908634351,1 +55443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.08919862,1 +55441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.205197515,1 +55444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.450871,1 +55445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.863819621,1 +55447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.813000724,1 +55446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.677664401,1 +55448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.329815969,1 +55449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.792413292,1 +55450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.890108586,1 +55451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.865205307,1 +55453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.488882452,1 +55454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.935686144,1 +55452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.766378433,1 +55455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.063295064,1 +55456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.94731438,1 +55457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.802003668,1 +55458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.775658657,1 +55459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.969683412,1 +55460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.756832785,1 +55461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.731643245,1 +55462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.156145951,1 +55463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.650580116,1 +55465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.709382472,1 +55464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.491593544,1 +55466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.911432763,1 +55467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.797223352,1 +55468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.071553151,1 +55469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.778738786,1 +55471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.808147854,1 +55470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.165884888,1 +55473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.657135115,1 +55472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,7.455202675,1 +55475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.73171362,1 +55477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.903650762,1 +55476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.049429985,1 +55474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.168013648,1 +55478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.425161108,1 +55479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.68132578,1 +55481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.316159405,1 +55480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.764721255,1 +55482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.868128012,1 +55483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.660890909,1 +55484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,7.234828845,1 +55485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.098852751,1 +55486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.135870663,1 +55489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.868318654,1 +55487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.080859955,1 +55488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.250219901,1 +55490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.12591478,1 +55491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.607554395,1 +55492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.948266805,1 +55493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,7.635178714,1 +55494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.473870091,1 +55495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.713408632,1 +55496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.160051217,1 +55497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.452387743,1 +55498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.298638591,1 +55499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.233524579,1 +55500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.437308295,1 +55501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.411787089,1 +55502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.726948726,1 +55503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.624595815,1 +55504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.897125854,1 +55506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.658137937,1 +55507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.941787367,1 +55508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.497899446,1 +55505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.620093414,1 +55509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.282343619,1 +55510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.63232073,1 +55511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.935300928,1 +55513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.664469171,1 +55514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.758955244,1 +55512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.503759447,1 +55515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.76015813,1 +55516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.582598619,1 +55518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.067889702,1 +55517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.712590503,1 +55520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.109572018,1 +55519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.222885961,1 +55522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.314719545,1 +55521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.157537528,1 +55523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.9301079,1 +55524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.698082715,1 +55525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.073938922,1 +55527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.530506137,1 +55528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.541544754,1 +55529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.114270966,1 +55526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.634418546,1 +55530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.838103105,1 +55533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.550068169,1 +55531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.669219749,1 +55532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.955851046,1 +55534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.217712673,1 +55535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.853312498,1 +55536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.973508459,1 +55538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.407465622,1 +55537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.17411001,1 +55539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.647616042,1 +55542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.166886312,1 +55540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.005070214,1 +55541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.904782485,1 +55543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.708829314,1 +55544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.123065302,1 +55546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.935522219,1 +55545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.815412607,1 +55547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.410556638,1 +55548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.749386557,1 +55549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.732514733,1 +55550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.006397632,1 +55551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.404466811,1 +55552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.131214074,1 +55553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.58439501,1 +55554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.07895612,1 +55555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.938064232,1 +55556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.934128215,1 +55557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.945968434,1 +55559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.75746143,1 +55560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.056079987,1 +55558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.911508256,1 +55561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.391604213,1 +55564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.636312395,1 +55565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.379322022,1 +55563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.65271029,1 +55562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.445183054,1 +55567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.776799005,1 +55568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.7433808,1 +55569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.542000657,1 +55570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.902547149,1 +55571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.867359332,1 +55566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.083638133,1 +55572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.836543788,1 +55573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.056320456,1 +55574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.657527415,1 +55576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.173231252,1 +55575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.804702084,1 +55580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,8.008588029,1 +55577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.504422982,1 +55578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.07364479,1 +55579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.559888786,1 +55581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.003379982,1 +55582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.353669,1 +55583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.24362605,1 +55584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.577873363,1 +55586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.363695497,1 +55587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.769028734,1 +55588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.546460078,1 +55585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.284625678,1 +55589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.715161961,1 +55590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.962306101,1 +55591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.304336357,1 +55592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.79410555,1 +55596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.33892528,1 +55593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.338662619,1 +55595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.255962705,1 +55594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.301098887,1 +55598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.693538013,1 +55600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,7.572106301,1 +55597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.6100206,1 +55599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.57012868,1 +55601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.363351759,1 +55604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.531632825,1 +55602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,7.108659685,1 +55605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.245822057,1 +55606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.850993967,1 +55603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.41269145,1 +55607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.341058299,1 +55608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.757831205,1 +55609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.391922143,1 +55611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.205381911,1 +55610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.648198155,1 +55612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.856672586,1 +55613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.268621313,1 +55614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.485126028,1 +55615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.71676238,1 +55616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.109928864,1 +55617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.083862024,1 +55618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.85590268,1 +55620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.522721911,1 +55621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.140342687,1 +55622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.442189125,1 +55619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.579267377,1 +55623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.616807146,1 +55624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.612453538,1 +55625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.15659436,1 +55626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.534999199,1 +55627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.181497768,1 +55628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.343142035,1 +55629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.363112834,1 +55631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.53275469,1 +55632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.135186263,1 +55630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.750965175,1 +55633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.510338452,1 +55634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.296061104,1 +55635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.551117689,1 +55636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.98065743,1 +55637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,7.766503377,1 +55638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.096186813,1 +55639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.8812973,1 +55640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.969868444,1 +55641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.438202034,1 +55642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.240536199,1 +55643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.331526547,1 +55645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.97794532,1 +55646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.853445793,1 +55647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.423022313,1 +55648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.377833261,1 +55649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.432122126,1 +55644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.680031784,1 +55650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.475797205,1 +55651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.163890552,1 +55652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.125667962,1 +55654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.505409306,1 +55653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.882915934,1 +55655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.412748843,1 +55656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.520276533,1 +55657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.851209429,1 +55658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.593425818,1 +55660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.590016415,1 +55659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.688692015,1 +55661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,7.661417324,1 +55662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.341229777,1 +55664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.621483588,1 +55663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.322057648,1 +55665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.728264589,1 +55668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.668357668,1 +55667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.897174223,1 +55669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.489911343,1 +55666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.5774494,1 +55670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.419468042,1 +55671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.589953626,1 +55673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.547907133,1 +55672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.044234618,1 +55674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.904121933,1 +55675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.106860765,1 +55676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.416872048,1 +55677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.009821506,1 +55678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.908560191,1 +55679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.874150513,1 +55681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.204825134,1 +55680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.0459412,1 +55682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.518406262,1 +55683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.286624782,1 +55684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.517999855,1 +55685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.88630524,1 +55688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.443481672,1 +55687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.4701591,1 +55686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.919365678,1 +55689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.714293555,1 +55691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.864666074,1 +55692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.695342029,1 +55690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.190044251,1 +55693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.453244869,1 +55694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.401359463,1 +55695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,8.683579077,1 +55696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,7.387046325,1 +55697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.977272933,1 +55698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.265897521,1 +55699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.844141584,1 +55701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.572961409,1 +55700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.947877929,1 +55702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.679194082,1 +55703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.285069908,1 +55704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.367841067,1 +55705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.967645224,1 +55707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.109093524,1 +55706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.861001452,1 +55708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.433694097,1 +55710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.818133019,1 +55709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.51459786,1 +55711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.027729683,1 +55712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.330296856,1 +55713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.775343905,1 +55715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.117688974,1 +55714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.775362015,1 +55716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.230562639,1 +55717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.754918517,1 +55718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,8.388997587,1 +55720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.713403085,1 +55721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.64066957,1 +55719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.070053276,1 +55722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.521959085,1 +55723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.641917479,1 +55724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.438153233,1 +55725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.455558071,1 +55726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.693384507,1 +55727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.577790553,1 +55728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.395426919,1 +55730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.430169858,1 +55729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.157982168,1 +55731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.474353322,1 +55732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.053776431,1 +55733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.132880828,1 +55735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.443829232,1 +55736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.914483011,1 +55737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.78507474,1 +55734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.932311583,1 +55738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.50491046,1 +55739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.961147303,1 +55740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.882023008,1 +55741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.583695836,1 +55742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.475162789,1 +55744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.131379947,1 +55743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.676037007,1 +55745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,8.010488149,1 +55746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.187676579,1 +55747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.386343177,1 +55749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.865078843,1 +55748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.580551879,1 +55750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.737319553,1 +55751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.856405237,1 +55753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.786460694,1 +55754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.308019837,1 +55755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.556084191,1 +55756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.13633272,1 +55752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.144777917,1 +55757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.643687723,1 +55758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.792982572,1 +55759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.747289442,1 +55761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.718819398,1 +55760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.160242969,1 +55762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.882412414,1 +55763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.598362353,1 +55765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.599661724,1 +55766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.819669809,1 +55764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,7.234768046,1 +55767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.235723015,1 +55768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.003394208,1 +55770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.284777511,1 +55769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.57401979,1 +55771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.407020874,1 +55773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.867421538,1 +55774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.456686592,1 +55775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.356821433,1 +55776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.165883958,1 +55772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.513534944,1 +55778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.053029247,1 +55777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.113797701,1 +55779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.599899043,1 +55780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.902098814,1 +55782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.539354305,1 +55781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.209503782,1 +55783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.289457367,1 +55784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.424304162,1 +55785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.618572338,1 +55786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.539730041,1 +55787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.709093613,1 +55789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.57154947,1 +55790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.526630644,1 +55791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.678576379,1 +55788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.166868569,1 +55793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.939188043,1 +55792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.92475073,1 +55795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.969930472,1 +55794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.478226686,1 +55796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.495381102,1 +55797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.470103512,1 +55799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.211980757,1 +55798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.888072738,1 +55800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.025238642,1 +55801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.75376918,1 +55802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,10.76133087,1 +55804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.878142243,1 +55805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.577282279,1 +55803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.103056301,1 +55806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.558942548,1 +55808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.026001973,1 +55807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.484971222,1 +55810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.30204366,1 +55809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.97976757,1 +55812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.518862554,1 +55811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.428777494,1 +55813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.080763808,1 +55814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.736967655,1 +55815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.973359092,1 +55816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,8.051593343,1 +55817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.164168926,1 +55819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.770380399,1 +55818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.082086189,1 +55820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.324079726,1 +55821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.361741512,1 +55823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.107311066,1 +55824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.746100008,1 +55822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.754811176,1 +55825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.93311123,1 +55828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.286652113,1 +55827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.125513839,1 +55829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.620872179,1 +55831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.51029506,1 +55826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,7.694718761,1 +55830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.233992747,1 +55832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.906236415,1 +55833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.783886879,1 +55835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.814454881,1 +55836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.100851121,1 +55834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.949687105,1 +55837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.489991767,1 +55839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.861648233,1 +55840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.365133449,1 +55838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.358795935,1 +55841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.552076485,1 +55842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.005670498,1 +55844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.749662311,1 +55843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.812577013,1 +55846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.989863779,1 +55845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.213907282,1 +55847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.296857201,1 +55850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.376067502,1 +55849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.854111764,1 +55851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.961156174,1 +55853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.789225197,1 +55848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.100302575,1 +55852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.761358848,1 +55856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.800495068,1 +55854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.082845166,1 +55857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.422288128,1 +55855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.918918312,1 +55859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.624890795,1 +55860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.058597785,1 +55858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.802584419,1 +55861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.835503725,1 +55863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.593865362,1 +55862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.353017324,1 +55865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.437278942,1 +55866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.346833539,1 +55867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.989420049,1 +55868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.466513569,1 +55864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.87051846,1 +55870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.880191459,1 +55869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.289320394,1 +55871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.802384323,1 +55872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.624932019,1 +55874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.328398837,1 +55875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.30937043,1 +55873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.040201853,1 +55876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.135346962,1 +55877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.222673632,1 +55878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.892916202,1 +55879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.806614982,1 +55880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.285517507,1 +55882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.542517621,1 +55881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.616291853,1 +55883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.633162933,1 +55886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.102517677,1 +55887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.025074413,1 +55885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.504232118,1 +55884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.417311963,1 +55889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.07103191,1 +55888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.51359746,1 +55890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.800331052,1 +55891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.579434957,1 +55894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.45941768,1 +55893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,8.820179958,1 +55892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.294324498,1 +55895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.80259293,1 +55896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.431392056,1 +55897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.098397472,1 +55898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.899503385,1 +55899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.553619557,1 +55901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.658695745,1 +55902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.093193094,1 +55900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.353398406,1 +55903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.19271186,1 +55904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.210174942,1 +55905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.363226483,1 +55906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.074045769,1 +55909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.254668718,1 +55907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.014105532,1 +55908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.715056566,1 +55910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.791205576,1 +55911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.515576628,1 +55913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.864669205,1 +55912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.698594174,1 +55914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.846753104,1 +55918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.654274114,1 +55915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.687605247,1 +55916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,7.323521761,1 +55920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.125937038,1 +55919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.066724478,1 +55921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.752816214,1 +55922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.345020035,1 +55923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.869845662,1 +55917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.440423206,1 +55924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.258319809,1 +55925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.088543629,1 +55926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.061497707,1 +55928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.565485729,1 +55927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.0595796,1 +55930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.463098333,1 +55931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.170007084,1 +55929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.616316965,1 +55932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.652350303,1 +55933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.405662603,1 +55934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.438173966,1 +55935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.332502863,1 +55936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.905243368,1 +55937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.744419727,1 +55938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.655984615,1 +55939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.459157012,1 +55941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.292598155,1 +55942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.761222879,1 +55943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.117160411,1 +55940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.591199379,1 +55945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.273393936,1 +55944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.283429556,1 +55946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.062519086,1 +55947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.505784808,1 +55949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.022113067,1 +55948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.811099592,1 +55950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.995615813,1 +55953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.958470063,1 +55952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.62063415,1 +55951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.39197268,1 +55954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.868747423,1 +55955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.346459011,1 +55956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.359091163,1 +55958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.709720549,1 +55960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.039318878,1 +55959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.032940297,1 +55957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.690274246,1 +55961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.419478188,1 +55964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.63589929,1 +55962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.164724019,1 +55963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.491578237,1 +55965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.089141545,1 +55966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.685303458,1 +55967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.598879545,1 +55968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.678542365,1 +55971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.715128255,1 +55969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,7.299014476,1 +55970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,6.986251264,1 +55972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.699759865,1 +55973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.858511352,1 +55974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.01342829,1 +55976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.102776218,1 +55975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,7.447859937,1 +55977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.387956443,1 +55979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.274106596,1 +55981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.522805085,1 +55980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.845621174,1 +55978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.610577227,1 +55982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.612135755,1 +55983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.28725494,1 +55984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.372897054,1 +55986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.613985602,1 +55985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.337173926,1 +55987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.334428998,1 +55988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,1.942730366,1 +55989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.162550672,1 +55990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.422183663,1 +55991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.104180714,1 +55992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.493405591,1 +55993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,3.849692308,1 +55994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.202972929,1 +55995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.221082386,1 +55996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.359130747,1 +55997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.875953191,1 +55998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,5.422430537,1 +55999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,4.182884754,1 +56000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,6,1,2.661335019,1 +65001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.283051296,1 +65002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.488653575,1 +65003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.751898691,1 +65004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.547253671,1 +65005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.796101406,1 +65006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.192846039,1 +65008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.579082553,1 +65009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.585916918,1 +65007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.039558785,1 +65010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.771665493,1 +65011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.148322769,1 +65013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.020437094,1 +65012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.536021384,1 +65014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.428891784,1 +65015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.876405403,1 +65017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.645406248,1 +65016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.994161186,1 +65018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.899615914,1 +65019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.856257146,1 +65020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.192875268,1 +65021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.416456164,1 +65022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,1.397947639,1 +65023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.299632546,1 +65024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.018660704,1 +65027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.542789178,1 +65025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.140787515,1 +65028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.516683082,1 +65026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.969332226,1 +65030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.316243364,1 +65029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.626469864,1 +65031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,7.313291641,1 +65032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.643082354,1 +65033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.758804356,1 +65034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.584717915,1 +65035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.050004715,1 +65036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.762293354,1 +65038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.645579644,1 +65037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.832923974,1 +65039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.434504914,1 +65040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.712004046,1 +65041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,1.873182908,1 +65043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.465994983,1 +65042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.721274219,1 +65044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.455143971,1 +65045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.500972466,1 +65046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.404177888,1 +65047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.222462098,1 +65048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.885841061,1 +65049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.859802921,1 +65050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.625691363,1 +65052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.24089922,1 +65051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,1.95784511,1 +65053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.231623366,1 +65054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.38356613,1 +65055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.607145061,1 +65056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.873576682,1 +65057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.931092628,1 +65058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.469370682,1 +65061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.868677188,1 +65059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.093672286,1 +65062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.624135565,1 +65063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.578449516,1 +65064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.006090957,1 +65060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.392856787,1 +65065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.040298475,1 +65066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.715175101,1 +65067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.720703884,1 +65068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,7.426532672,1 +65069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.726635614,1 +65071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.721280758,1 +65070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.247911668,1 +65072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.765160861,1 +65073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.868910229,1 +65074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.961293005,1 +65075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.421418875,1 +65076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.16621673,1 +65077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.392185631,1 +65078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.905044234,1 +65079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.746494606,1 +65081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.56085162,1 +65082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.514923804,1 +65083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.756206772,1 +65080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.031449333,1 +65084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.072120585,1 +65085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.826470575,1 +65086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.649688282,1 +65088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.17179548,1 +65089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.992912253,1 +65087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.025165665,1 +65090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.89793202,1 +65091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.135930509,1 +65092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.844361995,1 +65094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.714405227,1 +65095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.884849442,1 +65093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.769981253,1 +65096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.923062293,1 +65097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.064058702,1 +65098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,1.926731558,1 +65099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.216674845,1 +65100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.368611306,1 +65101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.146452943,1 +65104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.676141086,1 +65103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.351108638,1 +65102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.398647828,1 +65105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.362088431,1 +65106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.381250146,1 +65108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.130827832,1 +65107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.935873152,1 +65109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.013390158,1 +65110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.815297785,1 +65111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.208207391,1 +65112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.950051414,1 +65113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.142260565,1 +65114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.578121482,1 +65115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.191378123,1 +65116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.887434032,1 +65117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.127519548,1 +65119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.027132654,1 +65118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.113876195,1 +65121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.53925348,1 +65123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.991585537,1 +65120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.250168328,1 +65122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.05895281,1 +65124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.382272786,1 +65125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.89421176,1 +65127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.8122686,1 +65128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.124200848,1 +65126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.900078546,1 +65129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.986664067,1 +65130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.534585676,1 +65131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.328630659,1 +65132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.762615532,1 +65133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.013339641,1 +65135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.656525915,1 +65134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.715903166,1 +65137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.915136324,1 +65138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.584054631,1 +65139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.33392365,1 +65136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,7.574760242,1 +65140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.140763407,1 +65142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.766847791,1 +65141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.068964578,1 +65144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.920029099,1 +65145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.565822668,1 +65146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.52730554,1 +65143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.18917367,1 +65147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.126332567,1 +65149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.593034168,1 +65148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.116953298,1 +65151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,1.583553422,1 +65150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.306456861,1 +65152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.815980194,1 +65153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.801929193,1 +65154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.238430549,1 +65156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.922276427,1 +65155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.793284787,1 +65158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.763548033,1 +65157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.165379196,1 +65159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.208431415,1 +65161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.81534129,1 +65162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.800681632,1 +65163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.723344432,1 +65160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.812197227,1 +65165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.704320711,1 +65166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.830882511,1 +65164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.795536569,1 +65167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.48869416,1 +65168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.103895106,1 +65169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.400366853,1 +65170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.574788216,1 +65172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.170998388,1 +65173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.716174124,1 +65174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.004960913,1 +65171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.187233757,1 +65175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.833699616,1 +65177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.554299774,1 +65176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,7.672809761,1 +65178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.058435987,1 +65179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.598016648,1 +65180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.854723911,1 +65182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.610446741,1 +65181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.214296394,1 +65184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.878346794,1 +65183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.081771823,1 +65186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.455943983,1 +65185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.90079729,1 +65187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.903390116,1 +65188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.531368522,1 +65189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.197877006,1 +65191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.451747163,1 +65192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.787655325,1 +65190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.309092727,1 +65193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.4422722,1 +65195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.885566938,1 +65194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.822865244,1 +65196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.557492561,1 +65197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.025067976,1 +65198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.744316002,1 +65199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.705404154,1 +65201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.354370096,1 +65200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.635865583,1 +65202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.295325158,1 +65203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.511715529,1 +65204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.272911584,1 +65206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.353466297,1 +65205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.795711761,1 +65208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.421717773,1 +65207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.514675316,1 +65209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.864542992,1 +65210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.31904003,1 +65212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.368340294,1 +65211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.203864647,1 +65213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.348352085,1 +65215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.112122934,1 +65216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.159698359,1 +65217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.332056068,1 +65218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.092285634,1 +65214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.882564377,1 +65219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.909344377,1 +65220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.626895421,1 +65221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.938212878,1 +65223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.807479888,1 +65224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.833479186,1 +65222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.173210523,1 +65225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,1.491042025,1 +65228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.695463761,1 +65227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.818987429,1 +65226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.898515997,1 +65229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.638467326,1 +65232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.232472693,1 +65231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.29886152,1 +65233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.756894885,1 +65235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.700611624,1 +65234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.101517462,1 +65230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.36677643,1 +65236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.456479235,1 +65237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.981608296,1 +65238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.499927614,1 +65239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.293870598,1 +65241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.579292823,1 +65240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.944679581,1 +65242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.227411859,1 +65243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.146457347,1 +65244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.12639974,1 +65245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.014753744,1 +65246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.062005953,1 +65247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.802270056,1 +65248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.92274402,1 +65250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.09055632,1 +65249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.461311643,1 +65251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.307344497,1 +65252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.635146936,1 +65253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.56241642,1 +65255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.294536103,1 +65256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.479915592,1 +65254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.872731007,1 +65257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.016436474,1 +65258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.406978257,1 +65259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.095372348,1 +65260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.384384578,1 +65262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.957231709,1 +65261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.698989331,1 +65263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.254884378,1 +65265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.930852533,1 +65266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.669328926,1 +65267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.449395618,1 +65264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.958077818,1 +65268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.559073344,1 +65269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.900655472,1 +65271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.094514257,1 +65270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.417972758,1 +65272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.233682369,1 +65273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.47505463,1 +65275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.074153049,1 +65274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.673099429,1 +65277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.238572301,1 +65276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.301937062,1 +65278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.243647114,1 +65280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.710521364,1 +65279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.926606299,1 +65281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.189853934,1 +65282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.80510119,1 +65284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.312264916,1 +65285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.751718657,1 +65283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.756457983,1 +65286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.831135896,1 +65287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.11882658,1 +65288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.415436801,1 +65290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.024304448,1 +65291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.318250918,1 +65292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.979322004,1 +65293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.998169601,1 +65294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.085308807,1 +65295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.344160726,1 +65289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.442948033,1 +65296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.580312105,1 +65297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.64434934,1 +65298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.405421626,1 +65302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.194225059,1 +65300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.586306503,1 +65299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.782819999,1 +65301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.077365836,1 +65304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,1.678765488,1 +65305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.526751901,1 +65303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.081227137,1 +65306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.912049928,1 +65309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.198221395,1 +65308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.123005446,1 +65310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.362548263,1 +65307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.775739573,1 +65311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.958657872,1 +65312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.761067998,1 +65313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.569818736,1 +65315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.621635885,1 +65316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.144639869,1 +65317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.904779385,1 +65314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.486150065,1 +65318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.683586146,1 +65319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.203354451,1 +65320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.468125574,1 +65322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.00934044,1 +65321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.562154123,1 +65323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.389081977,1 +65325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.399256532,1 +65324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.154265271,1 +65327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.876991982,1 +65326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.065559003,1 +65329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.782900017,1 +65328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.310681614,1 +65332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.46255074,1 +65331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.392052498,1 +65330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.288719107,1 +65333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,1.831346955,1 +65334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.088138931,1 +65336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.76464313,1 +65335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.843674739,1 +65337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.718627875,1 +65338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.198867091,1 +65339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.237610911,1 +65340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.358714289,1 +65341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.050452927,1 +65342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.56379077,1 +65343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.33812392,1 +65344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.271481883,1 +65346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,8.518589845,1 +65347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.105088037,1 +65345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.332604192,1 +65348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.645918861,1 +65349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.01107565,1 +65351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.953473993,1 +65350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.121158684,1 +65353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.580189798,1 +65354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.01802947,1 +65355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.142002825,1 +65352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.082897444,1 +65356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.11157542,1 +65357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.558924897,1 +65358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.407773605,1 +65359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.310095637,1 +65360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.307112125,1 +65361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.488623391,1 +65362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.237831973,1 +65363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,7.699885747,1 +65364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.121430361,1 +65366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.464531665,1 +65365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.000464963,1 +65368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.578308459,1 +65369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,7.043928257,1 +65370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.401575461,1 +65371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.480582532,1 +65372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.136141814,1 +65373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.465411386,1 +65367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.900133929,1 +65374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.213382055,1 +65375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.616366995,1 +65376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.15390557,1 +65377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.232719222,1 +65379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.991797285,1 +65378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.229423135,1 +65380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.059251371,1 +65381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.267118743,1 +65383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.432363014,1 +65384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.45521994,1 +65382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.931907936,1 +65385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.2342885,1 +65386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,1.694705933,1 +65387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.833788064,1 +65388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.803803158,1 +65390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.02667835,1 +65391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.74357794,1 +65392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.864341141,1 +65389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.665084141,1 +65393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.56086959,1 +65395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.435492952,1 +65396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.647514903,1 +65394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.176274136,1 +65398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.157093282,1 +65397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.686252434,1 +65400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.521358917,1 +65399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.52105096,1 +65401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.738191302,1 +65402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.253487071,1 +65403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.902748457,1 +65405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.55274897,1 +65406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.960062532,1 +65407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.433676842,1 +65408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.883082101,1 +65404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.444049541,1 +65409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.399588289,1 +65410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.265674878,1 +65411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.739294068,1 +65412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.229149558,1 +65413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.376261922,1 +65414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.970664425,1 +65415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.550967652,1 +65417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.104324086,1 +65416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.030460741,1 +65418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.102924629,1 +65419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.512937424,1 +65420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.946030709,1 +65421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.082419764,1 +65422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.79370415,1 +65423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.540805812,1 +65424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.025160205,1 +65427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.870381096,1 +65425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.659205276,1 +65426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.128451719,1 +65428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.776343237,1 +65430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.378651786,1 +65429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,7.128399564,1 +65431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.714963721,1 +65432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.100675381,1 +65433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.966705002,1 +65434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.004196752,1 +65435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,1.981421311,1 +65436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.917860073,1 +65437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.162129243,1 +65439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.379279806,1 +65438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.02510191,1 +65440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.710051151,1 +65441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.03660513,1 +65442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.840022427,1 +65444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.476370623,1 +65445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.944972912,1 +65446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.331826447,1 +65443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.727253381,1 +65448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.755064466,1 +65447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.707058137,1 +65449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.072938318,1 +65452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.245946051,1 +65451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.766060205,1 +65450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.347186766,1 +65453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.452410931,1 +65454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.460836947,1 +65455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.958770539,1 +65456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.698172785,1 +65457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.330893516,1 +65459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.963777587,1 +65458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.693521779,1 +65460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.148367946,1 +65461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.471710011,1 +65462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.104287366,1 +65463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.540534229,1 +65466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.812398813,1 +65467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.023979245,1 +65465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.662423813,1 +65469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.655026826,1 +65470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.427114652,1 +65468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.06114649,1 +65464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.665514217,1 +65472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.179654769,1 +65474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.647095734,1 +65473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.531016244,1 +65471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.239870541,1 +65475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.68736315,1 +65478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.218691556,1 +65476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.230341865,1 +65477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.232703854,1 +65479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.828167783,1 +65480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,7.097729325,1 +65482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.715379946,1 +65481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.251308112,1 +65483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,1.48141763,1 +65484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.058770761,1 +65485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.68522582,1 +65486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.565648438,1 +65487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.485019433,1 +65488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.078590661,1 +65489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.941295614,1 +65490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.160416301,1 +65492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.73913889,1 +65491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.580195232,1 +65493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.971528815,1 +65494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.715080538,1 +65495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.836418055,1 +65496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.029711961,1 +65497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.491766052,1 +65498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.026434039,1 +65499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.602625345,1 +65500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.946012262,1 +65501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,7.418231713,1 +65503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.060145651,1 +65505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.945991919,1 +65502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.858631963,1 +65506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.029245941,1 +65507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.009892928,1 +65504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.525313078,1 +65508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.139348156,1 +65509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.50863138,1 +65510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.461550766,1 +65511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.025950758,1 +65512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.644356817,1 +65513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.874875652,1 +65514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.200493747,1 +65516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.093190534,1 +65515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.100351025,1 +65518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.360315155,1 +65517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.680403705,1 +65520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.765553513,1 +65519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.555514003,1 +65521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.77658007,1 +65522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.885460145,1 +65523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.401292087,1 +65525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.922158933,1 +65524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.837440067,1 +65526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.714970026,1 +65528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.122256762,1 +65529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.435117904,1 +65530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.052016229,1 +65527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.648867263,1 +65531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.346248085,1 +65532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.228942269,1 +65534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.597609981,1 +65533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.308662694,1 +65535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.598777929,1 +65536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.240080275,1 +65537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.246775721,1 +65538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.001153918,1 +65539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.913207978,1 +65540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.374341488,1 +65542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.636212149,1 +65543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.158858602,1 +65544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.175785882,1 +65545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.219211792,1 +65541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.769965509,1 +65546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.889522413,1 +65549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.436559256,1 +65547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.579242647,1 +65548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.116736972,1 +65550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.468255012,1 +65551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.468574772,1 +65553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.242287589,1 +65552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.707892053,1 +65554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.163460336,1 +65555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.187155139,1 +65556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.711432013,1 +65557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.318651975,1 +65558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.641830976,1 +65560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.281838162,1 +65561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.658837366,1 +65562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.411475436,1 +65559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.885698586,1 +65563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.686697953,1 +65565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.969447227,1 +65566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.525171436,1 +65564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,8.433408517,1 +65567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.596639726,1 +65568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.079787976,1 +65569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.605453885,1 +65570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.352192766,1 +65571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.984683013,1 +65572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.988558659,1 +65573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.727300688,1 +65574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.467839606,1 +65575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.847499979,1 +65576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.676912034,1 +65577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.518359633,1 +65579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.666977427,1 +65578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.540667503,1 +65580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.00068436,1 +65581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.307608307,1 +65582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.902018268,1 +65584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.782814055,1 +65585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.026825862,1 +65586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.018495164,1 +65587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,7.536875382,1 +65583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.795340867,1 +65588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.835503161,1 +65589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.26012686,1 +65590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.911294388,1 +65592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.45101308,1 +65593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.273557396,1 +65591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.330823027,1 +65594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.639759584,1 +65595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.092629998,1 +65597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.018743884,1 +65596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.398497062,1 +65598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.563034332,1 +65599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.801278941,1 +65601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.477599406,1 +65602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.71858319,1 +65603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.776597654,1 +65604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.586805416,1 +65600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.917863071,1 +65605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.319684331,1 +65607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.99351331,1 +65606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.585623614,1 +65609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.88294801,1 +65608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.779139902,1 +65611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.733055762,1 +65610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.327306716,1 +65612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.113821315,1 +65613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.829597997,1 +65614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.46737508,1 +65615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.554042062,1 +65616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.702274652,1 +65617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.468110591,1 +65618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.643510941,1 +65619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.247282801,1 +65620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.728755234,1 +65622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.382395716,1 +65623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.099604169,1 +65624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.230221222,1 +65621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.977974704,1 +65625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.654078054,1 +65626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.64712544,1 +65627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.840610647,1 +65628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.687243296,1 +65629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.130545285,1 +65630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.468267037,1 +65631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.919963368,1 +65633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.934561939,1 +65632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.495354527,1 +65634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.784542927,1 +65635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,9.671510535,1 +65636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.678576808,1 +65638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.533969928,1 +65639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.783567668,1 +65637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.893524007,1 +65640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.132841797,1 +65641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.667699571,1 +65642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.890310759,1 +65644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.484653484,1 +65643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.325752756,1 +65645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.946974519,1 +65646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.848164295,1 +65649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.222800994,1 +65647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.789141419,1 +65648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.066846516,1 +65650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,7.102041316,1 +65651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,1.377640277,1 +65652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.444133581,1 +65654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.4375605,1 +65653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.726401522,1 +65655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.71446857,1 +65656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.418700652,1 +65657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.556859984,1 +65659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.451468407,1 +65660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,1.760405701,1 +65661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.618300722,1 +65662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.099523988,1 +65658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.077812453,1 +65663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.909176156,1 +65664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.82793929,1 +65665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.854629188,1 +65667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.329767654,1 +65668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.473205505,1 +65669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.498359533,1 +65666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.292544144,1 +65671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.943955121,1 +65670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.618135418,1 +65673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.200264991,1 +65672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.495206073,1 +65674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.398077781,1 +65675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.727512639,1 +65678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.320867106,1 +65677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.622414757,1 +65679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.922728755,1 +65681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.042429073,1 +65680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.156394681,1 +65676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.10941916,1 +65682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.804299272,1 +65683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.495172904,1 +65685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.109825722,1 +65684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.256119746,1 +65686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.037745831,1 +65689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.472938,1 +65688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.801550677,1 +65687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.760574152,1 +65690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.108811052,1 +65691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.990687869,1 +65693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.627820555,1 +65692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.651226058,1 +65694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.096507692,1 +65695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.653973293,1 +65696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.842031545,1 +65698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.610946022,1 +65699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.341361824,1 +65700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.549796048,1 +65697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.531089296,1 +65701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.742223238,1 +65702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.254603445,1 +65703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.609367926,1 +65704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.143683939,1 +65705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.314969223,1 +65706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.501597442,1 +65707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.946092053,1 +65708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.54218591,1 +65710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.670858622,1 +65709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.517588981,1 +65711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.893315861,1 +65712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.422097627,1 +65714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.819750991,1 +65713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.684988312,1 +65715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.086849022,1 +65717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.791749898,1 +65718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.186744788,1 +65716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,8.010909568,1 +65719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.765327742,1 +65721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.098599507,1 +65720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.83736411,1 +65722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.569368213,1 +65723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.911983648,1 +65724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.115827438,1 +65725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.263117781,1 +65726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.406473779,1 +65728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.077121101,1 +65727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.544230758,1 +65729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.549230814,1 +65732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.447617637,1 +65730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.57726842,1 +65733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.897769798,1 +65731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.710579761,1 +65734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.248483539,1 +65736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,1.827393954,1 +65735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.814726364,1 +65737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.443716188,1 +65738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.268565065,1 +65739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.692177309,1 +65740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.826778547,1 +65741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,7.631601287,1 +65742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.70506168,1 +65743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.035637268,1 +65745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.554560361,1 +65744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.165285708,1 +65746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.994007025,1 +65747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.851472025,1 +65748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.651416913,1 +65750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.402562774,1 +65752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.081156056,1 +65751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.753567654,1 +65753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.197018102,1 +65754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.636861496,1 +65749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.97698178,1 +65755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.098259569,1 +65756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.858054744,1 +65757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.729069749,1 +65759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.574388914,1 +65758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.907157893,1 +65760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.835800064,1 +65761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.752219723,1 +65762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.169194216,1 +65763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.601221439,1 +65765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.249221629,1 +65764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.472565983,1 +65766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.496397434,1 +65769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.303727197,1 +65768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.390814652,1 +65770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.743647236,1 +65771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.365076421,1 +65772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.750684175,1 +65773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.921049197,1 +65774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.158269783,1 +65767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.964811377,1 +65775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.158457146,1 +65777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.947307466,1 +65776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.844284386,1 +65779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.07447111,1 +65778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.336093702,1 +65780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.343782002,1 +65781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.291549678,1 +65782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.328612204,1 +65783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.489759106,1 +65784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.845960998,1 +65785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.493374954,1 +65786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.52109154,1 +65787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.549772065,1 +65789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.329710615,1 +65790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.886994109,1 +65788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.126217571,1 +65793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.586268138,1 +65791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.031271871,1 +65792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.810907935,1 +65794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.673161471,1 +65795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.82647017,1 +65797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.1106993,1 +65798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.860376621,1 +65796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.979730088,1 +65799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.921098964,1 +65801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.170180409,1 +65800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.062845943,1 +65803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.475328474,1 +65802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.160223048,1 +65805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.107031559,1 +65804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.676385411,1 +65807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.610890886,1 +65808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.708628748,1 +65806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.168639753,1 +65809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.684650793,1 +65810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.203112795,1 +65811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.558260747,1 +65812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.039226745,1 +65813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.303517301,1 +65814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.099047902,1 +65815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.461864322,1 +65816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.744085195,1 +65817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.052803344,1 +65818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.148732962,1 +65820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.515582692,1 +65819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,1.1996533,1 +65821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.10804869,1 +65822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.701875947,1 +65824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.307478642,1 +65823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.347677822,1 +65825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.253116675,1 +65827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.336772845,1 +65828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.76723388,1 +65829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.850547257,1 +65826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.603382283,1 +65830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.395350753,1 +65831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.179790051,1 +65832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.010415855,1 +65834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.815162891,1 +65835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.878772449,1 +65833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.350084957,1 +65836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.555403763,1 +65837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.28287922,1 +65839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.183334748,1 +65838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.254208504,1 +65840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.080361474,1 +65841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.154430492,1 +65844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.964469565,1 +65842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.868018305,1 +65843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.806104523,1 +65845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.068110649,1 +65846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.971927624,1 +65848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.863583801,1 +65849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.064297517,1 +65850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.190711468,1 +65851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.05939839,1 +65847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.385440909,1 +65852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.767192676,1 +65853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.883364242,1 +65855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.721186974,1 +65854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,8.192243537,1 +65856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.591097661,1 +65857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.987014603,1 +65858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.298824304,1 +65859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.291677346,1 +65860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.694113329,1 +65861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.675629966,1 +65864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.506958973,1 +65863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.245525328,1 +65862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.406741986,1 +65865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.201759827,1 +65867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.14258942,1 +65866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.218841486,1 +65870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.422862663,1 +65868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,7.004568668,1 +65869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.542283105,1 +65871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.976312466,1 +65872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.09322831,1 +65874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.116792654,1 +65873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.287427697,1 +65875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.473394119,1 +65876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.094652409,1 +65877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.900228025,1 +65879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.258570535,1 +65878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.663730055,1 +65880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.353725795,1 +65881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.632527157,1 +65882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.507373386,1 +65883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.068532308,1 +65885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.773462692,1 +65884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.727883413,1 +65887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.527296594,1 +65886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.315982362,1 +65888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.543118599,1 +65889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.509595901,1 +65890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.970543936,1 +65891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.804832251,1 +65892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.959091896,1 +65893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.134868941,1 +65894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.961786799,1 +65896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.378137106,1 +65895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.187506567,1 +65898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.690038499,1 +65897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.711139905,1 +65899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,1.523146249,1 +65902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.512166709,1 +65901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.969246693,1 +65903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.50443368,1 +65904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.811192281,1 +65905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.557526518,1 +65900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.631109295,1 +65906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.215279207,1 +65907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.657976009,1 +65908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.382315418,1 +65910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.933241474,1 +65911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.623356019,1 +65912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.162545809,1 +65909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.655918265,1 +65913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.029232694,1 +65915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.452364488,1 +65916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.440667824,1 +65914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.514683558,1 +65917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.533888265,1 +65918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.322249739,1 +65920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.648735228,1 +65919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.186876224,1 +65921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.726941232,1 +65922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.200184861,1 +65923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.752911049,1 +65925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.665841995,1 +65926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.354349324,1 +65927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.403622313,1 +65928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.745713609,1 +65924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.717040158,1 +65929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.145748282,1 +65930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.214284078,1 +65931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.61607814,1 +65932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.545635812,1 +65933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.912518897,1 +65935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.041868427,1 +65934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.577631014,1 +65936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.189475163,1 +65937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.525378278,1 +65938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.290187962,1 +65939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.507889487,1 +65940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.62378819,1 +65941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.074339177,1 +65942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.890176575,1 +65943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.244818882,1 +65945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.812008418,1 +65944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.278466645,1 +65946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.162220781,1 +65947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.20428338,1 +65948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.187277986,1 +65951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.489828674,1 +65950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.797581805,1 +65949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.98712277,1 +65952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.446018606,1 +65954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.309200185,1 +65953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.034117053,1 +65955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.077657818,1 +65956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.214787583,1 +65957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.349384437,1 +65958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.441672377,1 +65959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.551463921,1 +65960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.41792479,1 +65961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.611932029,1 +65962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.310164012,1 +65964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.009573205,1 +65963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.022847103,1 +65965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.247676115,1 +65966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.767200907,1 +65967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.510713772,1 +65969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.487376619,1 +65970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.494715087,1 +65968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.429959363,1 +65971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.341111245,1 +65972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.788015165,1 +65973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.32244744,1 +65974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,8.788871309,1 +65975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.641309622,1 +65977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.73703864,1 +65976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.00621167,1 +65979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.528180681,1 +65980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.304096562,1 +65978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.827430426,1 +65981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.843140802,1 +65982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.125123097,1 +65983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.081825348,1 +65985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.486037031,1 +65986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.254526613,1 +65987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.91888925,1 +65984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,1.766865175,1 +65988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.544976172,1 +65989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.903140234,1 +65990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.745768858,1 +65991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.820600859,1 +65995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.172453435,1 +65992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.074886037,1 +65993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.500218904,1 +65994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,4.154764729,1 +65996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.894912515,1 +65998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,6.098637804,1 +65999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,5.81648213,1 +66000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,2.504661084,1 +65997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,6,1,3.149769901,1 +75002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.192993003,1 +75001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.014040805,1 +75003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.368336042,1 +75004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.199592253,1 +75005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.429806625,1 +75006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.270999658,1 +75007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.085079709,1 +75009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.419768142,1 +75008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.298108785,1 +75010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.370484151,1 +75011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.19075454,1 +75012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.019982691,1 +75013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.798650968,1 +75014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.78314605,1 +75016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.0833828,1 +75017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.066704227,1 +75015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.470141604,1 +75018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.273982819,1 +75020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.234543366,1 +75019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.764216601,1 +75021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.744832194,1 +75022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.273105133,1 +75023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.255751189,1 +75024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.28264428,1 +75025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.536209043,1 +75026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.360191933,1 +75027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.78273448,1 +75028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.064605378,1 +75029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.89451735,1 +75031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.419677917,1 +75030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.086140144,1 +75032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.086570586,1 +75033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.770587182,1 +75034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.390955171,1 +75036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.003599216,1 +75035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.808191348,1 +75038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.280431337,1 +75037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.688309084,1 +75039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.587860865,1 +75040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.116489612,1 +75041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.521142161,1 +75042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.855503167,1 +75044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.850165634,1 +75045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.073993439,1 +75046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.963800491,1 +75043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.865549589,1 +75047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.72998471,1 +75049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.391072769,1 +75048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.984951486,1 +75050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.02843586,1 +75052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.006506004,1 +75051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.006081534,1 +75053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.121347241,1 +75054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.826290881,1 +75055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.009718803,1 +75056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.757489487,1 +75057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.103203198,1 +75059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,1.704733379,1 +75060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.110647767,1 +75061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.705895271,1 +75062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.658424808,1 +75058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.971699395,1 +75063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.293103705,1 +75064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.861484104,1 +75066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.649929592,1 +75067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.931928754,1 +75065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.352412271,1 +75068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.594974483,1 +75069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.579945355,1 +75071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.809344065,1 +75072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.747965108,1 +75070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.38985068,1 +75073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.61793247,1 +75075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.626796902,1 +75076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.356108466,1 +75074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.226748733,1 +75079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.718163185,1 +75080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.405393364,1 +75078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.023557153,1 +75077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.14733531,1 +75081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.531571934,1 +75082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.762051448,1 +75083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.44278498,1 +75084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.456114382,1 +75085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.017268964,1 +75086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.545951203,1 +75087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.88578925,1 +75088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.901033177,1 +75089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.09381078,1 +75090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.165240456,1 +75091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.751798637,1 +75093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.039859492,1 +75094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.688127907,1 +75092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.276636732,1 +75095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.270260721,1 +75096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.005953904,1 +75097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,1.725319723,1 +75098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.987216175,1 +75099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.495990263,1 +75100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.853475768,1 +75101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.707113762,1 +75102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.257474523,1 +75103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.981288205,1 +75104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.95083586,1 +75105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.974100336,1 +75106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.860660217,1 +75107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,7.387701875,1 +75108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.625681412,1 +75109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.832370867,1 +75111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.393896806,1 +75112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.886219388,1 +75110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.708222158,1 +75113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.847104874,1 +75114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.144503018,1 +75115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.429104962,1 +75116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.69335134,1 +75117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.446997053,1 +75119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.015065827,1 +75118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.834517973,1 +75120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.324012462,1 +75121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.229622317,1 +75122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.685708595,1 +75123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.694207606,1 +75125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.261426715,1 +75127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.044977287,1 +75124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.564585625,1 +75126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.94194437,1 +75128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.914710773,1 +75129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.696591184,1 +75130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.881188455,1 +75132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.077762816,1 +75131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.001322569,1 +75133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.566262619,1 +75134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.380750535,1 +75135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.856157151,1 +75137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.757435903,1 +75136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.821989799,1 +75138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.485615823,1 +75139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.216984439,1 +75141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.589713121,1 +75140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.440280869,1 +75143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.94563376,1 +75144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.662840211,1 +75145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.603706872,1 +75146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.642133457,1 +75142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.327476796,1 +75148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.910112439,1 +75149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.674022932,1 +75150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.034352364,1 +75151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.040303829,1 +75147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.905184035,1 +75153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.180142228,1 +75152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.938750957,1 +75155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.642255408,1 +75156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.012466913,1 +75154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.792470157,1 +75157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.860610301,1 +75158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.918229909,1 +75160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.882941975,1 +75161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.408291916,1 +75162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.388932909,1 +75163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.164351274,1 +75159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.946450162,1 +75164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.86496612,1 +75166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.444484542,1 +75167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.69440873,1 +75168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.281659041,1 +75165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.977332187,1 +75170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.90033867,1 +75172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.169216622,1 +75169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.219948135,1 +75171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.632801888,1 +75173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.255217493,1 +75174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.487143094,1 +75175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.48190167,1 +75176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.094945467,1 +75178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.682158524,1 +75179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.390304827,1 +75180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,1.952597974,1 +75177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.495422766,1 +75182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.407895168,1 +75183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.670077387,1 +75181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.467742357,1 +75185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.560646297,1 +75184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.126057646,1 +75187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.855888162,1 +75186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.422741965,1 +75189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.116542967,1 +75188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,7.245324975,1 +75190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.796364641,1 +75191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.701106531,1 +75192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.844745523,1 +75193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.605957879,1 +75194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.879673956,1 +75195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.015338513,1 +75197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.215461505,1 +75199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.514546645,1 +75200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.633385623,1 +75198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.730480948,1 +75196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.507137823,1 +75201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.73964747,1 +75203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.758580041,1 +75204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.447910795,1 +75202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.203884261,1 +75206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.093792352,1 +75205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,7.670222013,1 +75207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.769257031,1 +75208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.926253502,1 +75209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.664772146,1 +75212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.41381252,1 +75210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.474791884,1 +75213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.557280913,1 +75215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.913143495,1 +75214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.228097005,1 +75211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.164021731,1 +75216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.178499108,1 +75217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.617896838,1 +75219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.804290914,1 +75218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.766444914,1 +75221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.493160799,1 +75220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.273557194,1 +75222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.405589907,1 +75223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.145770866,1 +75224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.584489615,1 +75225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.990221804,1 +75227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.967967977,1 +75226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.763520616,1 +75229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.561270184,1 +75228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.781368607,1 +75230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.895076517,1 +75231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.406824601,1 +75232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.352996846,1 +75233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.070807443,1 +75234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.885967289,1 +75235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.676379149,1 +75236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.236619508,1 +75237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.809881294,1 +75238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.345227918,1 +75240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.582760362,1 +75239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.622929802,1 +75241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.467812235,1 +75242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.852686249,1 +75243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.377857065,1 +75244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.821363724,1 +75245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.841493166,1 +75246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.03275297,1 +75247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.12026462,1 +75249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.728334711,1 +75248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.618478015,1 +75250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.911624828,1 +75251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.131288577,1 +75252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.946135716,1 +75254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.392956345,1 +75255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.127455474,1 +75253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.840503812,1 +75256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.599093886,1 +75257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.585860497,1 +75258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.846708053,1 +75259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.048081256,1 +75260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.194185312,1 +75261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.52245341,1 +75264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.448985763,1 +75263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.340002642,1 +75262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.728754449,1 +75265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.164893347,1 +75266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.702944189,1 +75268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.418247924,1 +75269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.457256989,1 +75267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.857197981,1 +75270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.71997339,1 +75271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.374968129,1 +75272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.791370422,1 +75273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.009495668,1 +75274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.842899833,1 +75276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.321198551,1 +75275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.988425179,1 +75277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.656962482,1 +75278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.089906318,1 +75279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.604709629,1 +75281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.856164583,1 +75280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.075684003,1 +75282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.036954281,1 +75283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.407688974,1 +75284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.181454887,1 +75285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.612546827,1 +75288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.596533049,1 +75286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.462485266,1 +75287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.333530186,1 +75289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.648074148,1 +75290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.688726206,1 +75291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.002174248,1 +75292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.673381765,1 +75293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.608377215,1 +75294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.806501589,1 +75295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.693253966,1 +75296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.517810309,1 +75298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.425648223,1 +75297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.314018787,1 +75299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.536748901,1 +75301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.901230441,1 +75302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.671383722,1 +75303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.401623393,1 +75304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.133018815,1 +75306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.867287869,1 +75300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.179534516,1 +75305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.346672912,1 +75309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.626316503,1 +75308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.983894259,1 +75310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.985188771,1 +75307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.409667188,1 +75311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.724839964,1 +75312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.640884515,1 +75313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.565298706,1 +75314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.08182991,1 +75315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.586120422,1 +75316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.740779594,1 +75317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.702121848,1 +75318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,7.246142676,1 +75320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.644517527,1 +75322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.583515681,1 +75321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.89546037,1 +75319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.37145717,1 +75324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.649876031,1 +75323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.975761216,1 +75325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.291088111,1 +75326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.3810669,1 +75328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,7.257828491,1 +75327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.510667707,1 +75329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.555586858,1 +75330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.960197197,1 +75331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.411054479,1 +75332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.834750594,1 +75334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.399314917,1 +75333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.183340706,1 +75335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,8.039064187,1 +75336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.858594747,1 +75338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.86744927,1 +75337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.109123136,1 +75339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.311319447,1 +75340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.067852601,1 +75341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.068094986,1 +75342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.446919763,1 +75343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.783907255,1 +75344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.42176061,1 +75345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.546617665,1 +75346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.047467718,1 +75347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.325832764,1 +75348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.938174774,1 +75349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.231659515,1 +75351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.658070016,1 +75350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.591521611,1 +75352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.635142843,1 +75353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.675933653,1 +75354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.464852067,1 +75356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.737981898,1 +75355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.577201478,1 +75357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.54105498,1 +75358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.000158813,1 +75359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.881549753,1 +75360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.735153941,1 +75361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.299409149,1 +75362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.011141142,1 +75363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.362954974,1 +75364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.549727567,1 +75365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.94175946,1 +75366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.091630903,1 +75367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.866662378,1 +75368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.647331853,1 +75369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.274228852,1 +75371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.962667573,1 +75370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.424756086,1 +75372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.340371135,1 +75373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.644884337,1 +75374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.760500794,1 +75376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.028256479,1 +75375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.579028259,1 +75377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.230538346,1 +75378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.29531381,1 +75380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.516408156,1 +75379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.057620356,1 +75382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.717429171,1 +75381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.229985613,1 +75384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.029518436,1 +75383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.805744652,1 +75385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.423491447,1 +75387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.657824483,1 +75388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.025518587,1 +75389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.18538728,1 +75390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.783528112,1 +75386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.283384042,1 +75392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.375920454,1 +75391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.80645972,1 +75393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.773490858,1 +75395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.968119345,1 +75394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.924533383,1 +75396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.907066756,1 +75397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.799910272,1 +75398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.396969254,1 +75400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.396705495,1 +75401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.289229763,1 +75399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.669549473,1 +75403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.463732395,1 +75402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.672731392,1 +75404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.829751323,1 +75405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.554214072,1 +75406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.461054845,1 +75407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.744506834,1 +75408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.176807776,1 +75410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.400914705,1 +75411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.295136922,1 +75412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.413944109,1 +75413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.923726037,1 +75414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.798850975,1 +75409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,1.838191922,1 +75416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.057617476,1 +75415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.3249688,1 +75418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.916665708,1 +75417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.865861031,1 +75419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.498020287,1 +75420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.138505378,1 +75421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.645967914,1 +75422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.834376781,1 +75423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,7.163876474,1 +75424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.942146686,1 +75425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.254486851,1 +75426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.777517324,1 +75427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.068123391,1 +75428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.292397069,1 +75430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.156310155,1 +75431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.599078077,1 +75429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.746754385,1 +75432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.703298997,1 +75433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.619377327,1 +75434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.170571104,1 +75435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.941859391,1 +75437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.478292083,1 +75436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.559850214,1 +75438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.137634949,1 +75439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.544202395,1 +75440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.433066338,1 +75441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.99616854,1 +75442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.191001918,1 +75444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.113788832,1 +75445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.469419745,1 +75443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.972285152,1 +75446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.541252252,1 +75447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.048008398,1 +75448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.383862291,1 +75449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.681503842,1 +75450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.71061386,1 +75451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.370228258,1 +75452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.282717472,1 +75454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.062217606,1 +75456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.512492927,1 +75455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.765662707,1 +75453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.491457789,1 +75458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.955157584,1 +75457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.187706623,1 +75459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.24480245,1 +75460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.98073184,1 +75461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.034215356,1 +75463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.98468572,1 +75462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,1.495962608,1 +75464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.026584122,1 +75465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.762538665,1 +75467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.50158765,1 +75466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.308507455,1 +75469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.672997408,1 +75471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.047672843,1 +75470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.828827185,1 +75472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.046070886,1 +75474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.894158537,1 +75473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,7.324722475,1 +75468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.85288669,1 +75475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.305700738,1 +75476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.288303976,1 +75477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.328582862,1 +75478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.9516395,1 +75480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.678669761,1 +75479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.435468367,1 +75481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.666319382,1 +75482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.526572042,1 +75484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.419418106,1 +75485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.327079253,1 +75486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.98020895,1 +75487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.695097691,1 +75488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.667898397,1 +75483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.353238837,1 +75490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.032715886,1 +75491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.991357652,1 +75492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.762429697,1 +75489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.593276789,1 +75495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.086295025,1 +75493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.000310764,1 +75497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.087649723,1 +75496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.039028207,1 +75494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.799978646,1 +75498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.830471671,1 +75501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.147308405,1 +75500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.924320515,1 +75502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.969580901,1 +75503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.352745595,1 +75505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.721521473,1 +75499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.835055049,1 +75506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.848439145,1 +75504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.065225836,1 +75507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.976705481,1 +75508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.720551535,1 +75512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,7.298882292,1 +75509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.325298068,1 +75511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.36115924,1 +75510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.093539146,1 +75513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.535058017,1 +75514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.408645784,1 +75515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.133957538,1 +75516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.054910715,1 +75518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.380394753,1 +75519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.381665801,1 +75520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.451644732,1 +75517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.398609225,1 +75521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.002840548,1 +75522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.331871804,1 +75524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.385153243,1 +75523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.260861958,1 +75525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.144862284,1 +75526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.572877265,1 +75527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.647121273,1 +75528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.400114031,1 +75529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.531155369,1 +75530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.32064044,1 +75531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.035331868,1 +75532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.355750826,1 +75533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.361468118,1 +75534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.686798587,1 +75536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.314311751,1 +75537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.537308616,1 +75538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.873896117,1 +75535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.416431411,1 +75540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.749414916,1 +75542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.659519063,1 +75541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.169793548,1 +75539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,7.956125994,1 +75544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.35737032,1 +75545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.599404152,1 +75543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.976070953,1 +75546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.559483023,1 +75548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.956542393,1 +75547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.916281029,1 +75549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.298019612,1 +75550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.328091561,1 +75551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.184076506,1 +75553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.546142883,1 +75554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.663236829,1 +75552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.954057071,1 +75556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.169455999,1 +75555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.213217708,1 +75558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.568601045,1 +75557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.509008647,1 +75559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.846414447,1 +75560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.732650334,1 +75561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.214504925,1 +75562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.38192635,1 +75563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.582125484,1 +75565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.001284153,1 +75564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.557671646,1 +75566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.773504392,1 +75567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.771454544,1 +75568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.96564033,1 +75569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.830165112,1 +75571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.206663124,1 +75570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.760415561,1 +75573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.131580536,1 +75575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.663298325,1 +75572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.775904333,1 +75576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.40160108,1 +75574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.424852594,1 +75577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.555159879,1 +75578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,7.246695665,1 +75580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.145498513,1 +75579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.949044465,1 +75583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.695129502,1 +75582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.93483208,1 +75584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.912668616,1 +75581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.753701137,1 +75585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.726125131,1 +75587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.65979905,1 +75586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.853380255,1 +75588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.74102602,1 +75590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.329579768,1 +75589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.947143015,1 +75591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,1.634374354,1 +75592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.443501318,1 +75594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.708123983,1 +75593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.153967849,1 +75595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.60809805,1 +75597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.083656175,1 +75598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.265402091,1 +75596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.333651507,1 +75599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.44374295,1 +75601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.396546668,1 +75600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.872580246,1 +75602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.868570064,1 +75603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.476802333,1 +75604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.678561464,1 +75605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.038247784,1 +75606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.196284077,1 +75607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.2836255,1 +75608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.659793695,1 +75609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.482179704,1 +75611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.953225268,1 +75612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.870361547,1 +75613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.149728937,1 +75614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.671833963,1 +75610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.571259968,1 +75615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.031192537,1 +75616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.631329981,1 +75618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.626918767,1 +75617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.059637323,1 +75619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.216961657,1 +75620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.324457332,1 +75622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.492727529,1 +75624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.317099443,1 +75623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.567991133,1 +75621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.467223274,1 +75625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.90946917,1 +75626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.732727145,1 +75627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.600891833,1 +75629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.76200821,1 +75631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.016718679,1 +75630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.959701695,1 +75628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.915428704,1 +75632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.124126677,1 +75633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.180847526,1 +75635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.30529777,1 +75634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.401499341,1 +75637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.317555931,1 +75639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.34744485,1 +75638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.443265302,1 +75636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.065953072,1 +75640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,7.012791984,1 +75641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.458604408,1 +75643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.806065814,1 +75644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.229609862,1 +75642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.611076238,1 +75645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.187859856,1 +75646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.485490863,1 +75647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.171900526,1 +75648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.661387109,1 +75650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.912888279,1 +75651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.514786958,1 +75649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.095290832,1 +75654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.48481545,1 +75652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.928344164,1 +75655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.307062903,1 +75656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.747550026,1 +75658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.03512137,1 +75657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.933978106,1 +75653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.199184063,1 +75660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.418666076,1 +75662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.754542208,1 +75659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.916900514,1 +75661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.044543413,1 +75664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.652867729,1 +75665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.708351977,1 +75663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.118241335,1 +75666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.00945474,1 +75668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.303547482,1 +75667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.097456416,1 +75669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.865631244,1 +75670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.082861031,1 +75671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.258110708,1 +75673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.926286998,1 +75675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.707472018,1 +75672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.86604785,1 +75674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.302692457,1 +75676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.242697581,1 +75678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.555517,1 +75677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.777876673,1 +75680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.545003658,1 +75679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.367914788,1 +75681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,1.699725388,1 +75682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.653535374,1 +75683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.821041522,1 +75684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.525884455,1 +75685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.942954124,1 +75686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.548629684,1 +75687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.741732316,1 +75688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.085962055,1 +75690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.045673988,1 +75691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.92254944,1 +75689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.015565439,1 +75692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.62650973,1 +75695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.207671499,1 +75694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.279279574,1 +75693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.000939652,1 +75696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.150219011,1 +75697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.933509159,1 +75698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.070789727,1 +75699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.399997053,1 +75700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.813760942,1 +75701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.583308198,1 +75702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.422343045,1 +75703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.827429269,1 +75704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.371413749,1 +75706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.720505927,1 +75707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.440803488,1 +75705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.353431106,1 +75709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.980117687,1 +75710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.769171577,1 +75708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.660798508,1 +75711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.916173239,1 +75712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.672983825,1 +75713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.362157174,1 +75714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.112319194,1 +75715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.817103044,1 +75716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.818266842,1 +75717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.239268388,1 +75718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.357462046,1 +75719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.169066066,1 +75720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.392264096,1 +75721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.801801576,1 +75722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.154095898,1 +75724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.33620317,1 +75725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.481685828,1 +75723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.585329979,1 +75727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.761365119,1 +75728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.25743443,1 +75729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,7.961767052,1 +75726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.898390216,1 +75730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.849463716,1 +75731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.792286482,1 +75733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.805214112,1 +75732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.670287073,1 +75734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.708895314,1 +75736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.634445097,1 +75735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.516283244,1 +75737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.33476896,1 +75740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,7.315529686,1 +75738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.802815632,1 +75741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.544047755,1 +75742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,8.73559735,1 +75743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.957583864,1 +75739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.834705416,1 +75744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.71258524,1 +75745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.460670364,1 +75746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.430858036,1 +75748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.719497044,1 +75747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.854160822,1 +75749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.755576139,1 +75750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.115393897,1 +75751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.432442058,1 +75752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.03605198,1 +75753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.098367434,1 +75754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,9.424751126,1 +75756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,1.708627827,1 +75755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.424485575,1 +75757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.098101206,1 +75758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.847154373,1 +75760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.863039008,1 +75761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.1912339,1 +75762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.300885012,1 +75763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.448320573,1 +75759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.082320418,1 +75764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.893539512,1 +75766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.075388373,1 +75765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.69749609,1 +75767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.369747126,1 +75770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.323740229,1 +75768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.022257478,1 +75771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.028827295,1 +75769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.12256018,1 +75773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.159322367,1 +75775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.392522465,1 +75772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.375075966,1 +75774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.229097077,1 +75776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.277884459,1 +75777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.840621063,1 +75780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.319181517,1 +75778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.975396421,1 +75781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.334175744,1 +75779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.45337172,1 +75783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.218747418,1 +75782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.294678773,1 +75784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.744257229,1 +75785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.369876984,1 +75786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.493094841,1 +75788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.130204138,1 +75789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.160791452,1 +75787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.477288571,1 +75791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.736052444,1 +75793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.908435319,1 +75794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.992942464,1 +75792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.202521937,1 +75790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.063897868,1 +75795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.910687916,1 +75796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.120866959,1 +75797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.005934799,1 +75798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.564665169,1 +75801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.095041506,1 +75799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.529394638,1 +75803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.174118624,1 +75800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.071884513,1 +75802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.208902742,1 +75804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.186439696,1 +75805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.52520661,1 +75806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.097341551,1 +75807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.471461631,1 +75810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.790845612,1 +75808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.260576583,1 +75811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.223335575,1 +75812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.854704912,1 +75814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.904610524,1 +75809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.377605107,1 +75813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.696179908,1 +75817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.314174404,1 +75815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.545255164,1 +75818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.553308167,1 +75816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.143202428,1 +75819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.56831046,1 +75820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.825904347,1 +75821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.118500193,1 +75822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.608275071,1 +75823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.129296013,1 +75824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.986657409,1 +75826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.215998815,1 +75825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.336581947,1 +75828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.064930625,1 +75829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.033094389,1 +75830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.072048365,1 +75827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.124886859,1 +75831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.442995196,1 +75834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.729037777,1 +75832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.147962435,1 +75833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.336752298,1 +75835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.881330408,1 +75836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.516170565,1 +75837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.018246068,1 +75838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.981940259,1 +75839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.65346814,1 +75840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.431368354,1 +75841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.504602129,1 +75842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.719884114,1 +75843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.386737908,1 +75845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.006291406,1 +75844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.226996718,1 +75846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.641845981,1 +75847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.898303122,1 +75849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.300221298,1 +75848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.520036749,1 +75851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.203494332,1 +75850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.847315818,1 +75852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.426395976,1 +75853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,7.22732165,1 +75854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.944761116,1 +75856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,1.858488184,1 +75857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.992439068,1 +75855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.190468807,1 +75858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.612801793,1 +75860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.83181723,1 +75861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.017785159,1 +75859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.095967893,1 +75863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.626656427,1 +75862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,1.372222227,1 +75864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.162939723,1 +75865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,7.127560226,1 +75866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.198269076,1 +75867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.253706373,1 +75869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.07013102,1 +75868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.040551588,1 +75870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.909081214,1 +75871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.447287989,1 +75872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.270251589,1 +75874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.168627165,1 +75873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.296971947,1 +75875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.67685809,1 +75876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.569018889,1 +75878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.978998652,1 +75877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.911141536,1 +75879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.015697244,1 +75880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.421423472,1 +75881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.273185695,1 +75882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.56372976,1 +75883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.026294692,1 +75884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.524158592,1 +75885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.142264147,1 +75887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.037938863,1 +75886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.67250817,1 +75888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.230455873,1 +75891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,7.354594801,1 +75889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.44989602,1 +75890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.87041597,1 +75892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.937527003,1 +75894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.537473142,1 +75895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.747341951,1 +75893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.249628911,1 +75896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.366353241,1 +75898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.964248704,1 +75897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.770287407,1 +75900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.747004122,1 +75901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.859746385,1 +75902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.87950003,1 +75899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.420348941,1 +75903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.995306693,1 +75905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.737815046,1 +75904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.212899143,1 +75907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.507264113,1 +75906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.912046943,1 +75909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.801012315,1 +75908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.018209239,1 +75910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.430547687,1 +75911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.427015528,1 +75912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.789312551,1 +75914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.202325249,1 +75913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.441526108,1 +75916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.290668047,1 +75918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.491190482,1 +75915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.979934547,1 +75917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.483158874,1 +75919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.546647757,1 +75920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.38959881,1 +75922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.596626903,1 +75921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.229141363,1 +75923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.140923018,1 +75924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.788231176,1 +75925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.387264751,1 +75926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.427928392,1 +75928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.235547006,1 +75927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.795035358,1 +75929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.830833365,1 +75930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.764851564,1 +75932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.402391368,1 +75931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.06733214,1 +75933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.271564062,1 +75935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.965951113,1 +75936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.250035204,1 +75937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.639068778,1 +75934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.427315587,1 +75938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.7584472,1 +75940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.330051821,1 +75939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.194823035,1 +75941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.063710833,1 +75942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.621004652,1 +75943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.510070083,1 +75944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.349828482,1 +75946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.045327958,1 +75945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.45592223,1 +75947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.387986718,1 +75948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.928625434,1 +75949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.143588966,1 +75950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.823921168,1 +75951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.872763223,1 +75952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.343695674,1 +75953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.683950859,1 +75955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.269466877,1 +75954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.698821983,1 +75956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.395868796,1 +75957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.091201029,1 +75958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.85208323,1 +75959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.408735924,1 +75961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.219452352,1 +75960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.099047644,1 +75962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.545521642,1 +75963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.815149796,1 +75965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.990726451,1 +75964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.07964905,1 +75966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.013181997,1 +75969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.606564636,1 +75967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.7093371,1 +75968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.43850519,1 +75970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.385898369,1 +75972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.707622545,1 +75971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.874410296,1 +75974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.012032339,1 +75976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.754239866,1 +75975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.519549263,1 +75977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.200113864,1 +75973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.289698941,1 +75978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.236338071,1 +75980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.282847943,1 +75979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.834228759,1 +75982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.537552324,1 +75983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.936933124,1 +75981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.726301031,1 +75984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.996201373,1 +75987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.737434627,1 +75986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.904981931,1 +75985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.669850737,1 +75988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.813824507,1 +75989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.87322719,1 +75990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.374524116,1 +75991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.928459759,1 +75992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.923622183,1 +75994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,5.065087156,1 +75995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,2.879540151,1 +75997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.619666461,1 +75993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,3.519180352,1 +75996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.735389594,1 +75998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,6.714154599,1 +76000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.139871334,1 +75999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,6,1,4.185246692,1 +85001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.608374009,1 +85002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.86212716,1 +85003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.492273998,1 +85005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.504459609,1 +85004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.906176427,1 +85006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.975877303,1 +85007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.930212791,1 +85009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.686794032,1 +85008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.896333657,1 +85011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.99044951,1 +85010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.863074076,1 +85013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.311895376,1 +85012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.719191275,1 +85014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.437525931,1 +85015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.420562905,1 +85016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.752539213,1 +85017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.094979801,1 +85019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.102251384,1 +85020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.651013259,1 +85021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.915030397,1 +85022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.800882204,1 +85018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.907510659,1 +85023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.579076387,1 +85026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,7.067772028,1 +85025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.85485554,1 +85024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.143833301,1 +85027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.67891246,1 +85028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.086754957,1 +85029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.175758269,1 +85030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.773637912,1 +85031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.963988613,1 +85032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.583617861,1 +85033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.489938251,1 +85034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.534096591,1 +85035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.881514087,1 +85037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.437496893,1 +85036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.410399247,1 +85039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.561602026,1 +85038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.703737277,1 +85041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.689450764,1 +85043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.735647619,1 +85040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.096557825,1 +85044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.889563725,1 +85042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.614549129,1 +85046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.359589917,1 +85045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.496927757,1 +85047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.444582588,1 +85048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.850691942,1 +85049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.149840115,1 +85051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.426419277,1 +85050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.260501024,1 +85052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.055458522,1 +85053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.49609529,1 +85055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.775755105,1 +85056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.43931188,1 +85054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.936809345,1 +85057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.816318539,1 +85058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.070345506,1 +85059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.253903448,1 +85060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.013529469,1 +85063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.228121711,1 +85061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.854211684,1 +85064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.829243125,1 +85062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.290899669,1 +85065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.735997649,1 +85066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.052987696,1 +85067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.677909442,1 +85068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,8.813322355,1 +85069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.945905618,1 +85070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.886881243,1 +85072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.801995591,1 +85073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.60877091,1 +85071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.957289417,1 +85074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.555372005,1 +85078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.964576342,1 +85077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.524102921,1 +85076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.69506776,1 +85075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.441601634,1 +85080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.828564409,1 +85081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.61756582,1 +85079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.230899878,1 +85082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.67645497,1 +85083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.893820198,1 +85084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.100913251,1 +85085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.255956292,1 +85086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.849553556,1 +85087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.356948734,1 +85089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.945493924,1 +85088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.521628992,1 +85091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.369721803,1 +85092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.332250591,1 +85093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.397935904,1 +85094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.146910421,1 +85095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.384954621,1 +85096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.64243518,1 +85097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.778660861,1 +85090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.787964889,1 +85098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.129554195,1 +85099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.533860572,1 +85100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.019814982,1 +85102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.522414677,1 +85103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.015589361,1 +85101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.657973771,1 +85104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.465869423,1 +85105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.451282969,1 +85107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.177698608,1 +85106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.782834998,1 +85108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.586700427,1 +85110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.770610422,1 +85111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.945761578,1 +85112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.47090852,1 +85113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.128120178,1 +85114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.486095035,1 +85109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.823959597,1 +85115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.017315278,1 +85118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.01626135,1 +85117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.333497214,1 +85116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.122831078,1 +85119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.139821931,1 +85120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.765814218,1 +85121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.238625818,1 +85122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.753213728,1 +85123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.002167559,1 +85124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.760650924,1 +85125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.109051495,1 +85126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.842444287,1 +85127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.075645472,1 +85129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.348298574,1 +85130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.029782917,1 +85131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.046756086,1 +85133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.108579382,1 +85132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.380753165,1 +85128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.777837965,1 +85134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.98965359,1 +85135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.792055115,1 +85136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,7.397537041,1 +85138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.100796326,1 +85137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.168985931,1 +85139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.841756456,1 +85140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.668415853,1 +85141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.705078011,1 +85142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.056855215,1 +85143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.688657966,1 +85144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.79769137,1 +85145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.316549149,1 +85147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.50606777,1 +85146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.984994588,1 +85148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.984933855,1 +85149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.591288486,1 +85150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.348055289,1 +85151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.257866501,1 +85152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.956393612,1 +85153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.641721702,1 +85154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.54691529,1 +85155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.580890912,1 +85156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.416764167,1 +85157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.158606314,1 +85158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.968049058,1 +85159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.345202386,1 +85160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.435353975,1 +85161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.250911399,1 +85164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,7.11944146,1 +85162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.215262268,1 +85165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.833988561,1 +85163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.354935991,1 +85167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.205082504,1 +85166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.941575893,1 +85168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.498027626,1 +85169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.559980929,1 +85170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.496983751,1 +85171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.908140832,1 +85172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.122207312,1 +85173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.718838008,1 +85175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.900540275,1 +85174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.453154535,1 +85176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.563024671,1 +85177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.038948401,1 +85179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.005548285,1 +85178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.46957702,1 +85180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.227850362,1 +85182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.390764451,1 +85181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.569095405,1 +85183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.436405067,1 +85184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.359403248,1 +85185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.432994623,1 +85187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.579746797,1 +85186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.792839291,1 +85188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.617057899,1 +85189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.171565767,1 +85190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.134628624,1 +85191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.712300576,1 +85192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.215668662,1 +85193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,7.033189384,1 +85194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.435346183,1 +85196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.395820074,1 +85195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.712520644,1 +85197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.973627756,1 +85198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.17469741,1 +85199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.214996985,1 +85201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.306529594,1 +85200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.273523799,1 +85202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.431053223,1 +85203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.041505496,1 +85204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.387458884,1 +85206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.510960786,1 +85207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.474685859,1 +85205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.972096313,1 +85208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.987985229,1 +85209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.359427435,1 +85211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.609649044,1 +85210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.874847546,1 +85212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.454736454,1 +85213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,1.945989953,1 +85215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.719453496,1 +85216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.935979805,1 +85217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.133256181,1 +85214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.90297428,1 +85218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.070474215,1 +85219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.57722062,1 +85220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.51515685,1 +85222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.840696428,1 +85223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.052695505,1 +85224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.811781939,1 +85221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.240950433,1 +85225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.546619307,1 +85226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.746525252,1 +85228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.053829053,1 +85227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.95007211,1 +85229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.822470023,1 +85230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.046871715,1 +85232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,7.684140019,1 +85233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.178427696,1 +85234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.252674461,1 +85231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.502961748,1 +85235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.570078383,1 +85236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.716189255,1 +85237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.022021517,1 +85238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.059021216,1 +85240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.896136039,1 +85239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.128381457,1 +85241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.958417416,1 +85242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.327916101,1 +85243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.385510616,1 +85244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.388940543,1 +85245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.157577919,1 +85246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.679924465,1 +85247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.89512226,1 +85248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.474366798,1 +85249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.820259902,1 +85250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.903115572,1 +85253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.612095097,1 +85252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.404490446,1 +85251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.055137031,1 +85254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.721985909,1 +85255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.12230746,1 +85256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.957076007,1 +85257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.643868039,1 +85258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.316951125,1 +85260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.247582641,1 +85259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.969273118,1 +85261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.835981931,1 +85262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.692317391,1 +85263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.164784585,1 +85264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.45896151,1 +85266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.561707482,1 +85265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.938850849,1 +85267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.597136877,1 +85268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.302981266,1 +85269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.42018875,1 +85271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.797725795,1 +85270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.009699864,1 +85272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.377507369,1 +85273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,8.05655127,1 +85274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.671515776,1 +85275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.553108183,1 +85276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.125792355,1 +85277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.50608964,1 +85278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.366198515,1 +85280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.545807452,1 +85279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.059094147,1 +85281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.016502518,1 +85282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.022180133,1 +85284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.123622389,1 +85283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.161634828,1 +85285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.801761415,1 +85286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.907917677,1 +85289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.509130337,1 +85290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.184131649,1 +85287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,7.048736044,1 +85288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.751347322,1 +85292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.066472777,1 +85291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.025765934,1 +85293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.451992323,1 +85295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.334077259,1 +85296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.580913882,1 +85294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.663743828,1 +85297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.957062055,1 +85299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.476268927,1 +85298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.607340913,1 +85301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.735710335,1 +85300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.479628458,1 +85305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.737912101,1 +85302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.993789748,1 +85303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.484950234,1 +85307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.553380467,1 +85308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.572071424,1 +85304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.956746443,1 +85306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.215707785,1 +85309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.957774703,1 +85310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.091452175,1 +85311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.140537608,1 +85313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.838938548,1 +85314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.888744164,1 +85312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.362700837,1 +85315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,1.874636971,1 +85318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.116966995,1 +85319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.918462825,1 +85317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.586593723,1 +85316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.254883891,1 +85320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.597755895,1 +85322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.33152309,1 +85323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.703400788,1 +85325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.926378051,1 +85326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.134560145,1 +85321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.919382628,1 +85327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.593056218,1 +85324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.47103058,1 +85328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,1.896740235,1 +85329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.700064346,1 +85331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.022632126,1 +85333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.813440527,1 +85330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.193222454,1 +85332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.253806822,1 +85334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.610654364,1 +85335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.514561406,1 +85336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.519368377,1 +85337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.77541663,1 +85338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.631468398,1 +85340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.623292313,1 +85341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.851450515,1 +85342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.780549414,1 +85339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.51342395,1 +85343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.836525378,1 +85344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.149840788,1 +85346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.430167327,1 +85345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.639442718,1 +85347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.056732803,1 +85349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.88964214,1 +85348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.954478854,1 +85350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.666218178,1 +85352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.651403371,1 +85353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.523994214,1 +85351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.053917806,1 +85354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.543832978,1 +85357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.905173086,1 +85356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.287088177,1 +85358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.453877534,1 +85359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.196043674,1 +85360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.393078946,1 +85355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.635408271,1 +85361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.690477293,1 +85363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.937380894,1 +85364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.705482857,1 +85362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.619750102,1 +85365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.609975379,1 +85367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.65313231,1 +85366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.61447761,1 +85368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.957711677,1 +85369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.167124343,1 +85371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.602749031,1 +85370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.71189581,1 +85372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.458732204,1 +85373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.922533234,1 +85374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.404577744,1 +85376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.818535327,1 +85375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.022350096,1 +85378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.563072301,1 +85377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.999467394,1 +85379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.883543166,1 +85382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.050951983,1 +85380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.364228332,1 +85381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.677124073,1 +85383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.188149673,1 +85384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.064803233,1 +85385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.56645136,1 +85386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.63712335,1 +85387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.581670314,1 +85388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.106677628,1 +85390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.125789185,1 +85391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.089387926,1 +85389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.946082889,1 +85392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.761629744,1 +85393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.487259894,1 +85394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.742913514,1 +85396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.069126251,1 +85395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.11112396,1 +85397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.710377147,1 +85398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.108685415,1 +85399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.887284076,1 +85400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.384891774,1 +85401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.751003413,1 +85402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.212276937,1 +85403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.333439713,1 +85404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.984781093,1 +85405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.008502295,1 +85406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.080426509,1 +85407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.368512245,1 +85408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.863369436,1 +85409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.313953088,1 +85411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.88280877,1 +85412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.860608909,1 +85413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.795467329,1 +85410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.246316969,1 +85414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.071758207,1 +85415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.651507306,1 +85416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.223019142,1 +85418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.661142386,1 +85417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.445557608,1 +85420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.514205571,1 +85419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.409033181,1 +85422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.555828307,1 +85421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.742491447,1 +85424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.270467997,1 +85425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.5421537,1 +85423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.887052954,1 +85426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.304828508,1 +85427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.817209041,1 +85428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.186498408,1 +85429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.83994515,1 +85430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.086233755,1 +85433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.177769985,1 +85431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,7.130119663,1 +85434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.035047979,1 +85435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.104845437,1 +85432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.855291721,1 +85437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.723854763,1 +85436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,1.941097231,1 +85439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.31454877,1 +85438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.439152555,1 +85441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.618997127,1 +85440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.142818239,1 +85442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.892074673,1 +85443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.004319673,1 +85445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.954504895,1 +85444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.670543306,1 +85446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.125565249,1 +85447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.150424989,1 +85448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.721439727,1 +85449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.355413606,1 +85451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.13763378,1 +85452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.27472419,1 +85453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.570521178,1 +85450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.833250994,1 +85454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.053916154,1 +85457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.821436814,1 +85455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.661476489,1 +85458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.530396143,1 +85456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.853467429,1 +85459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.401175223,1 +85460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.367926016,1 +85461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.278121933,1 +85462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.501511329,1 +85463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.549057868,1 +85464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.851437612,1 +85465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.843780497,1 +85466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.925479694,1 +85468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.379456618,1 +85469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.897223961,1 +85467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.826493479,1 +85471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.041299017,1 +85470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.000458952,1 +85472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.585639429,1 +85473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.944432943,1 +85474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.778538127,1 +85475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.948000875,1 +85476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.403615081,1 +85477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.093122534,1 +85478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,7.768636209,1 +85480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.021680022,1 +85479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.614174372,1 +85481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.742403613,1 +85482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.463887307,1 +85484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.813430919,1 +85485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.769589508,1 +85483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.546082932,1 +85486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.961371065,1 +85488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.777816894,1 +85489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.591076216,1 +85491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.119403008,1 +85490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.523436167,1 +85492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.055738186,1 +85487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.646901654,1 +85493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.16689358,1 +85494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.861530919,1 +85495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.199472309,1 +85496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.4435225,1 +85497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.127069758,1 +85498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.292990464,1 +85499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.575536681,1 +85501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.634876446,1 +85503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.549319763,1 +85502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.120126566,1 +85500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.492804147,1 +85504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.182470686,1 +85506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.442111866,1 +85505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.591761406,1 +85507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.529931389,1 +85509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.868282317,1 +85508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.200585915,1 +85510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.253440775,1 +85513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.012447919,1 +85512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.99166931,1 +85514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.840751377,1 +85511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.128771081,1 +85515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.325470452,1 +85517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.411278904,1 +85516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.063608107,1 +85518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.239768113,1 +85519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.399782954,1 +85520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.374520391,1 +85521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.439541893,1 +85522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.304282642,1 +85523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.02040774,1 +85524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.011950356,1 +85525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.73984883,1 +85526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.707035085,1 +85527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.259229237,1 +85528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.336002254,1 +85529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.120993379,1 +85531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,8.129717066,1 +85532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.10461004,1 +85533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.070148283,1 +85530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.78923998,1 +85534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.248117379,1 +85535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.498994524,1 +85536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.051736973,1 +85537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.986279032,1 +85538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.4263058,1 +85539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.089761213,1 +85540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.718639683,1 +85541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.108092696,1 +85542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.414474024,1 +85543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.0356642,1 +85544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.189225549,1 +85546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.725446413,1 +85547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.205314823,1 +85545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.122084699,1 +85548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.73173223,1 +85549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.896570374,1 +85550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.773811964,1 +85552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.115566507,1 +85551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.882436133,1 +85553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.397808146,1 +85555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.389806792,1 +85554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.664600962,1 +85556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.212779674,1 +85557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.727783608,1 +85558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.318659233,1 +85560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.093324148,1 +85561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.786047198,1 +85559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.408456359,1 +85562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.180077506,1 +85564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,7.862041387,1 +85563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.412232207,1 +85566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.852878636,1 +85567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.55571544,1 +85565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.270425772,1 +85569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,7.00442615,1 +85570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.266087344,1 +85571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.973566391,1 +85568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.728756882,1 +85572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.891806063,1 +85573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.563156525,1 +85574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.572107315,1 +85575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.796897539,1 +85578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.23654212,1 +85576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.055476437,1 +85577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.110508545,1 +85579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.578580829,1 +85581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.233842633,1 +85582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.690716398,1 +85580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.922603035,1 +85584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.186364838,1 +85585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.902566863,1 +85586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.810268801,1 +85587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.953439237,1 +85588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.623631677,1 +85583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.035954406,1 +85589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.834947174,1 +85593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.470225787,1 +85590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.283368646,1 +85591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.279651268,1 +85592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.264837475,1 +85594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.902883454,1 +85595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.849235323,1 +85596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.122059964,1 +85597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.889607124,1 +85599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.134421877,1 +85600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.936902021,1 +85601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.551203817,1 +85602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.307291478,1 +85603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.231775227,1 +85598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.061963419,1 +85606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.953212165,1 +85607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.040655342,1 +85605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,7.332301848,1 +85604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.407529699,1 +85609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.337099989,1 +85610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.663774033,1 +85608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.398455564,1 +85611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.926859028,1 +85612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.394749286,1 +85613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.528001404,1 +85614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.291271367,1 +85615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.552255643,1 +85617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.262256171,1 +85618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.069472516,1 +85619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.05640681,1 +85616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.46805486,1 +85621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.431899698,1 +85620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.790443919,1 +85622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.991947538,1 +85623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.774268311,1 +85624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.339557642,1 +85626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.231624455,1 +85625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.835804465,1 +85627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.92159165,1 +85630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.746403669,1 +85629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.460568986,1 +85631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.739287009,1 +85628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.596712943,1 +85632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.945827418,1 +85633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.382728862,1 +85635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.311772496,1 +85637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.979476092,1 +85636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.374623519,1 +85634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.437095186,1 +85639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.42277038,1 +85638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.578215333,1 +85641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.704997597,1 +85640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.617895061,1 +85642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.599746998,1 +85644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.416227585,1 +85645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.41469385,1 +85643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.654647528,1 +85646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.702731794,1 +85647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.416808575,1 +85648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.60540467,1 +85649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.057450871,1 +85650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.342041544,1 +85651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.19584798,1 +85652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.494698108,1 +85654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.555501173,1 +85653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.646269404,1 +85655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.891417491,1 +85656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.549977055,1 +85658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.912134485,1 +85659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.776424958,1 +85660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.298345506,1 +85657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.93819371,1 +85661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.474988222,1 +85663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.951725883,1 +85662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.463213352,1 +85664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.354046317,1 +85665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.21108993,1 +85667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.55466351,1 +85668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.504413069,1 +85666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.533626087,1 +85669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.836480109,1 +85671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.678138305,1 +85670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.371887535,1 +85672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.355728554,1 +85673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.078287206,1 +85675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.416076258,1 +85674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.948895261,1 +85676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.159968712,1 +85677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.272273711,1 +85678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.851252463,1 +85680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.415199071,1 +85679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.983605224,1 +85681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.628008755,1 +85682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.485852976,1 +85683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.913806647,1 +85684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.54621989,1 +85685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.055666726,1 +85686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.629190871,1 +85689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.080975357,1 +85688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.244813779,1 +85690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.794378588,1 +85691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.401663233,1 +85692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.212176112,1 +85687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.148632263,1 +85693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.306462454,1 +85695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.057852287,1 +85694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.416000309,1 +85697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.193405752,1 +85696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.757340513,1 +85698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.027189571,1 +85699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.525722811,1 +85700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.54770105,1 +85701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.604434787,1 +85702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.582522289,1 +85704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.299758156,1 +85703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.991424503,1 +85706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.296759371,1 +85708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.041778736,1 +85707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.0364103,1 +85705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.418438307,1 +85709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.725082754,1 +85710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.562988953,1 +85711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.806534799,1 +85715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.928676162,1 +85712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.524133243,1 +85713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.009713019,1 +85714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.147631586,1 +85717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.482366918,1 +85718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.476954979,1 +85716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.266443382,1 +85719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.490584424,1 +85720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.54067965,1 +85722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.765087271,1 +85721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.381197722,1 +85723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.670957958,1 +85725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.068922562,1 +85727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.979286453,1 +85726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,7.55367298,1 +85728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.299162034,1 +85729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.151711186,1 +85724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.575744209,1 +85730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.473735222,1 +85733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.527066279,1 +85731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.043708004,1 +85732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.258752977,1 +85734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.160401579,1 +85735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.600659429,1 +85736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.358542325,1 +85737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.780253045,1 +85738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.49120759,1 +85739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.830997307,1 +85740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.787693172,1 +85741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.7798655,1 +85742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.07545571,1 +85744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.918377241,1 +85745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.708875591,1 +85746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.129162957,1 +85743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.869452277,1 +85747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.742555631,1 +85748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.808222307,1 +85749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.135981964,1 +85750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.347921389,1 +85752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.936850771,1 +85751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.95713191,1 +85753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.17602388,1 +85754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.050391121,1 +85756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.316954892,1 +85755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.538195507,1 +85757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.270296493,1 +85759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.668625668,1 +85760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.434439029,1 +85758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.931930211,1 +85761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.557820348,1 +85762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.133448984,1 +85763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.93907269,1 +85764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.587331229,1 +85765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.540021285,1 +85766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.522656125,1 +85767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.297035397,1 +85768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.477198629,1 +85769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.02761788,1 +85770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.266188795,1 +85771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.383503503,1 +85773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.22225938,1 +85774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.786251878,1 +85772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.946297996,1 +85775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.398252657,1 +85776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.546859054,1 +85779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.477553345,1 +85777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.07117106,1 +85778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.249589771,1 +85780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.543384387,1 +85781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.710892027,1 +85782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.041385231,1 +85783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.970609089,1 +85785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.444157191,1 +85784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.792395815,1 +85786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.392413392,1 +85789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.276362536,1 +85787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.498263315,1 +85788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.634405246,1 +85790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.819094181,1 +85791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.842726552,1 +85793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.362815799,1 +85794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.528367005,1 +85795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.576410507,1 +85796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.211813948,1 +85797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.787058431,1 +85792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.22673658,1 +85798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.977610457,1 +85799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.210725353,1 +85802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.292622223,1 +85803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.146185799,1 +85801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.324958512,1 +85800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.307796773,1 +85804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.818024535,1 +85806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.867211496,1 +85805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.40287709,1 +85807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.981263529,1 +85809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,7.724299249,1 +85808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.38671922,1 +85810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.404097278,1 +85813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.470093824,1 +85811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.436160389,1 +85814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.541441927,1 +85815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.019227076,1 +85816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.081854561,1 +85817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.845466042,1 +85812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.746067818,1 +85818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.436492337,1 +85819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.26377974,1 +85821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.470928892,1 +85820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.789148899,1 +85823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.025249385,1 +85822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.221240607,1 +85824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.605735631,1 +85825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.337992555,1 +85827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.554386466,1 +85826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.451385713,1 +85828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.012574234,1 +85829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.071200637,1 +85830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.306532794,1 +85831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.656338641,1 +85833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.812982885,1 +85834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.352264255,1 +85835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.263201671,1 +85836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.265658111,1 +85832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.697067184,1 +85838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.366445201,1 +85837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.342183818,1 +85840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.536656901,1 +85839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.101190619,1 +85842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.388873018,1 +85843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.540022322,1 +85841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.733634953,1 +85844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,1.012710808,1 +85845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.379501903,1 +85846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.79920885,1 +85848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,1.658985333,1 +85847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.901788138,1 +85849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.989595335,1 +85851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,7.073909786,1 +85852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.935757154,1 +85853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.514668736,1 +85850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.691561169,1 +85854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.818836208,1 +85855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.976870384,1 +85856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.28538179,1 +85857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.33413785,1 +85858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.531367328,1 +85859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.642445813,1 +85860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.609511113,1 +85862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.754123341,1 +85861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.637971261,1 +85864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.981613651,1 +85865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.782722462,1 +85863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.076252807,1 +85866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.239420831,1 +85867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.672560163,1 +85869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.127427113,1 +85868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.831000887,1 +85871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.469720402,1 +85872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.455013484,1 +85873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.010337142,1 +85870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.959877648,1 +85874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.034165625,1 +85876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.45200028,1 +85878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.137523292,1 +85877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.488239424,1 +85875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.817624343,1 +85879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.495906618,1 +85881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.279691302,1 +85882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.135274526,1 +85884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.572783587,1 +85880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.084042724,1 +85883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.400863424,1 +85885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.330885875,1 +85887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.582803335,1 +85888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.603734422,1 +85889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.989473589,1 +85890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.44468156,1 +85891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.316446512,1 +85886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.638535403,1 +85892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.852311464,1 +85894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.984678471,1 +85893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.150674759,1 +85895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.921207692,1 +85896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.485281708,1 +85898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.328526606,1 +85899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.751247504,1 +85900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.464632172,1 +85897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.020305792,1 +85901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.285777096,1 +85903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.449973264,1 +85904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,8.315481361,1 +85905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.294476369,1 +85907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.928052718,1 +85906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.098586105,1 +85902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.741303874,1 +85908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.979679694,1 +85909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.71478322,1 +85912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.179445522,1 +85911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.227902615,1 +85910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.278640021,1 +85913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.185690197,1 +85915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.911672373,1 +85914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.679797,1 +85917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.383411194,1 +85916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.009943799,1 +85920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.981981806,1 +85919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.703577364,1 +85921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.770232449,1 +85918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.31862385,1 +85922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.413637396,1 +85924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.403170554,1 +85923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.970094934,1 +85928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.399808552,1 +85927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.590331488,1 +85925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.880848616,1 +85926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.058167549,1 +85930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.717844137,1 +85929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.173097361,1 +85931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.525169365,1 +85932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.40954592,1 +85933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.000847316,1 +85934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.277446814,1 +85936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.813062777,1 +85935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.803952439,1 +85937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.390862841,1 +85938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.435354746,1 +85939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,1.504980817,1 +85940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.325467829,1 +85942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.768221499,1 +85941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,1.950594577,1 +85943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.210114336,1 +85945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.568163269,1 +85946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.972157815,1 +85944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.132899691,1 +85947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.122807115,1 +85949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.413098979,1 +85948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.049045426,1 +85951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.653319105,1 +85950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.565870207,1 +85952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.411662747,1 +85953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.234671279,1 +85954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.706317069,1 +85955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.201599586,1 +85958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.823592526,1 +85957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.70823225,1 +85956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.403742545,1 +85959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.451587382,1 +85960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.927386421,1 +85961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.409281521,1 +85962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.705269436,1 +85963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.472225808,1 +85964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.781976152,1 +85965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,7.510694667,1 +85966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.922500909,1 +85967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.259056205,1 +85969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.143647162,1 +85968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.70192732,1 +85970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.003881413,1 +85973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.493924905,1 +85971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.445265687,1 +85974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.783859388,1 +85972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.934372052,1 +85975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.630618736,1 +85978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.202249268,1 +85976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.975066438,1 +85977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.832313476,1 +85979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.134281835,1 +85980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.547618045,1 +85981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.816214826,1 +85982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.660776563,1 +85983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.191315836,1 +85984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.067660107,1 +85986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.406989494,1 +85987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.796109647,1 +85985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.196495876,1 +85988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.219530023,1 +85989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,6.500280335,1 +85990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,1.981754649,1 +85991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,5.863829546,1 +85992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.129521036,1 +85993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.739658324,1 +85994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.500837337,1 +85996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.836412843,1 +85997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.924175703,1 +85998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.946863954,1 +85995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,3.584711123,1 +86000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,2.476672784,1 +85999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,6,1,4.577698611,1 +95001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.081552154,1 +95002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.782112132,1 +95003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.582057481,1 +95004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.485627958,1 +95005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.733347018,1 +95006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.936373056,1 +95007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.467539843,1 +95008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.749159117,1 +95009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.446334423,1 +95012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.732193127,1 +95011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.543179001,1 +95013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.931884294,1 +95014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.288939516,1 +95010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,7.239817698,1 +95015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.497914584,1 +95016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.630133044,1 +95017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.603574713,1 +95019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.964159249,1 +95020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.897439779,1 +95021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.905906488,1 +95018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.427786128,1 +95022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.24202716,1 +95023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.724372405,1 +95024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.970296912,1 +95025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.214559354,1 +95026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.959097793,1 +95027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.010495326,1 +95028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.43813144,1 +95029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.248284672,1 +95030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.389792893,1 +95032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.508784318,1 +95031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.101779221,1 +95034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.19051035,1 +95035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.38652802,1 +95036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.009083901,1 +95033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.032094358,1 +95039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.746246521,1 +95037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.267317254,1 +95038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.441190197,1 +95040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.991804506,1 +95042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.360055338,1 +95041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.428507399,1 +95043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.926098534,1 +95044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,8.37965877,1 +95045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.380012094,1 +95046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.918538795,1 +95047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,7.521791947,1 +95048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.289422173,1 +95049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.998139252,1 +95050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.14578917,1 +95051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.688639672,1 +95054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.398925053,1 +95052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.627464074,1 +95055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,7.286033375,1 +95053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.642272093,1 +95056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.898005949,1 +95057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.793359373,1 +95058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.855655588,1 +95059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.264621455,1 +95060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.750527655,1 +95061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.344392713,1 +95062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.874763591,1 +95063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.470491422,1 +95064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.274730149,1 +95065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.624177752,1 +95066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.363139763,1 +95069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,1.891658627,1 +95068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.88417303,1 +95067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.822931385,1 +95070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.984939123,1 +95072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.630351867,1 +95071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.225417903,1 +95073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.06459122,1 +95074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.023977878,1 +95075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.516534258,1 +95076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.573338709,1 +95079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.43813995,1 +95077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.642831541,1 +95080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.594112463,1 +95078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,7.894630746,1 +95083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.817725432,1 +95081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.027909238,1 +95084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.850515674,1 +95082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.965322522,1 +95086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.133197076,1 +95087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.187082408,1 +95085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.066927944,1 +95088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.065057888,1 +95089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.422640685,1 +95090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.704173043,1 +95091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.364950593,1 +95093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.079792509,1 +95092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.152457771,1 +95094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.589373503,1 +95095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.561011001,1 +95096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.101876762,1 +95098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.303088783,1 +95099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.730696415,1 +95097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.027345521,1 +95100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.949232769,1 +95102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.241451054,1 +95101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.623819807,1 +95103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.345460973,1 +95104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.287083883,1 +95105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.935519007,1 +95106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.714133829,1 +95108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.840224231,1 +95109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.082737871,1 +95110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.747031681,1 +95111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.888874502,1 +95107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.476152727,1 +95112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.995809916,1 +95113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.188056299,1 +95115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.698208388,1 +95114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.480637207,1 +95117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.411645753,1 +95116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.937473356,1 +95119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.96392632,1 +95118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.270801286,1 +95120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.226243729,1 +95121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.730652401,1 +95122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.432106694,1 +95124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.677046371,1 +95125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.988138072,1 +95126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.384403901,1 +95128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.475177846,1 +95127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.299463215,1 +95129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.526034479,1 +95123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.82194616,1 +95131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.995843714,1 +95130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.63792772,1 +95132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.806611939,1 +95133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.225312719,1 +95134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.060957864,1 +95136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.22652065,1 +95135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.245607094,1 +95137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.230927821,1 +95138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.497467516,1 +95139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.277656138,1 +95140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.417237626,1 +95141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.499105257,1 +95142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.26094111,1 +95143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.875808749,1 +95144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.72808883,1 +95145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.675952436,1 +95148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.949393821,1 +95147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.254186518,1 +95146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.389798004,1 +95151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.037312816,1 +95150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.81513884,1 +95149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.83758166,1 +95152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,7.836773588,1 +95154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,8.47184392,1 +95153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.468057691,1 +95155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.944273951,1 +95156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.303727052,1 +95157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.938810271,1 +95158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,1.986716153,1 +95160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.21683917,1 +95159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.597289092,1 +95162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.95096409,1 +95161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.850420249,1 +95163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.84877267,1 +95164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.538270606,1 +95165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.079140305,1 +95166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.477661837,1 +95167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.729948367,1 +95168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.046930001,1 +95169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.736009139,1 +95170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.261249812,1 +95171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.82853669,1 +95172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.640650575,1 +95173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.628811168,1 +95174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.804481815,1 +95175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.073724977,1 +95176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.619570661,1 +95177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.608138352,1 +95179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.101375798,1 +95178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.955016985,1 +95181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,7.885366059,1 +95182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.619803364,1 +95183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.680855371,1 +95180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.728815611,1 +95184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.75022075,1 +95185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.032344884,1 +95186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,7.631670234,1 +95188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.10255747,1 +95189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.508302035,1 +95190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.74640779,1 +95191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.340198491,1 +95187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.415281053,1 +95192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.476059953,1 +95193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.597494002,1 +95195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.526903684,1 +95194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.3137832,1 +95196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.787969651,1 +95197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.961848456,1 +95199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.315265099,1 +95200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.677451547,1 +95198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.016147719,1 +95201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.657049106,1 +95203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.36368147,1 +95202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.01812614,1 +95205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.450259106,1 +95207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.792912738,1 +95206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.576973929,1 +95204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.500871063,1 +95208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.873011224,1 +95210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.593847482,1 +95209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.262803163,1 +95211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.661774327,1 +95212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,7.441014394,1 +95213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,7.00510553,1 +95214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.495204749,1 +95215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.190768544,1 +95216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.856265956,1 +95217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,8.071053067,1 +95218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.377242832,1 +95221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.911520934,1 +95220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.56066254,1 +95222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.354265779,1 +95219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.779585235,1 +95224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.97985958,1 +95223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.609913472,1 +95226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.289426014,1 +95225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.587816649,1 +95227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.871582525,1 +95228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.117155595,1 +95230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.788561738,1 +95229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.038530408,1 +95231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.291542069,1 +95232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.435087436,1 +95233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.425566997,1 +95234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.799826115,1 +95236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.430985665,1 +95235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.983474284,1 +95237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.124564611,1 +95240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.40992227,1 +95239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.917180011,1 +95238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.583502142,1 +95241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.721024523,1 +95243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.851815913,1 +95242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.587065291,1 +95245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.786175679,1 +95244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.629748242,1 +95246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,1.849832712,1 +95247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.903716326,1 +95248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,7.998130672,1 +95250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.019915827,1 +95249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.78405823,1 +95251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.219107076,1 +95252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.13932516,1 +95255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.42187458,1 +95254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.822120331,1 +95256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.720158352,1 +95253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.204481039,1 +95257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.113268223,1 +95260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.87134325,1 +95258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.935385829,1 +95259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.425850715,1 +95261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.914909295,1 +95262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.570347263,1 +95264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.639295912,1 +95263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.682552868,1 +95265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.159822119,1 +95267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.529855437,1 +95266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.892709869,1 +95268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.675038271,1 +95269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.239463749,1 +95270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.757023893,1 +95271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.945574927,1 +95273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.030771955,1 +95274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.61437009,1 +95275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.875823737,1 +95272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.230134292,1 +95277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.904105389,1 +95276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.566842146,1 +95278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.466366637,1 +95281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.581442584,1 +95280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.792328898,1 +95282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.926386177,1 +95279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.747496405,1 +95284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.858541435,1 +95286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.328539871,1 +95285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.913737796,1 +95283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.168658444,1 +95287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.983936832,1 +95290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.82566834,1 +95289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.772574557,1 +95288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.15279355,1 +95291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,7.101523732,1 +95293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.858040204,1 +95292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.100252524,1 +95295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.158736081,1 +95297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.535586971,1 +95296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.454584752,1 +95298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.585674614,1 +95294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.405947123,1 +95299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.694203789,1 +95300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.5226364,1 +95302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.88933746,1 +95301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.474782157,1 +95303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.225817784,1 +95304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.23928106,1 +95306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.014175731,1 +95305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.512293566,1 +95307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,8.601702142,1 +95308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.832199262,1 +95309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.151788627,1 +95310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.750607059,1 +95311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.718027445,1 +95312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.398033995,1 +95313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.94701863,1 +95315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.600591714,1 +95314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.057307825,1 +95316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.50738081,1 +95317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.31992452,1 +95318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.890419016,1 +95320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.298754361,1 +95319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.087776488,1 +95321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.214755432,1 +95322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.860620423,1 +95323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.900630539,1 +95324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.054617929,1 +95325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.127244574,1 +95326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.851837435,1 +95327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.275389073,1 +95329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.222613323,1 +95328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.518012143,1 +95330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,7.535814669,1 +95331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.525723201,1 +95332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.023619737,1 +95333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,7.065218463,1 +95334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.937619761,1 +95335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.284856139,1 +95336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.608326641,1 +95337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.881067568,1 +95338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.523826641,1 +95339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.78600926,1 +95341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.20392084,1 +95340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.577911877,1 +95342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.030616792,1 +95343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.68717978,1 +95346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.128173003,1 +95344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,1.807950591,1 +95347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.834863814,1 +95345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.894170578,1 +95348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.29200361,1 +95349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.736994435,1 +95352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.994859196,1 +95350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.804296602,1 +95351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.979974396,1 +95353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.135864904,1 +95354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.000519768,1 +95355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.262055212,1 +95357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.044918312,1 +95356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.874602535,1 +95358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.457460753,1 +95359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.3697476,1 +95360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.89771028,1 +95361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.476947855,1 +95362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.562458441,1 +95364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.644068094,1 +95363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.910774023,1 +95366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.332576322,1 +95368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.838858211,1 +95367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.316269007,1 +95369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.128154873,1 +95370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.486469574,1 +95371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.854355301,1 +95365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.711462882,1 +95372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.108463174,1 +95374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.908867368,1 +95373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.58875138,1 +95375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.965128245,1 +95376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.371715313,1 +95378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.909645587,1 +95377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.292707851,1 +95379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.698664131,1 +95380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.793588398,1 +95381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.428882935,1 +95382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.503173306,1 +95383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.636304128,1 +95384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.909022491,1 +95385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.816250501,1 +95386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.07624412,1 +95388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.667999639,1 +95389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.807486768,1 +95390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.511292433,1 +95387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.937176665,1 +95391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.73071077,1 +95392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.107185254,1 +95393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.962297695,1 +95394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.507532774,1 +95395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.944958509,1 +95396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.747043243,1 +95397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.05680507,1 +95399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.714024351,1 +95400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.415374691,1 +95398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.350510947,1 +95401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.555066828,1 +95402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.099454412,1 +95403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.41169205,1 +95405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,7.076754299,1 +95407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.152924558,1 +95404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.327882176,1 +95406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.715801085,1 +95410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.090365306,1 +95411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.570425835,1 +95408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.078833841,1 +95409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.402913561,1 +95414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.602197992,1 +95413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.667368882,1 +95415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.295519835,1 +95412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,7.300331854,1 +95416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.108006087,1 +95417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.16784374,1 +95418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.707391874,1 +95419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,1.55863197,1 +95420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.38521901,1 +95421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.115108152,1 +95422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,7.0281414,1 +95424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.007772717,1 +95423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.717243513,1 +95425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.095941007,1 +95426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.15172213,1 +95427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.934674474,1 +95428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.049912604,1 +95429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.534518824,1 +95431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.87881124,1 +95430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.644296049,1 +95433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.533072926,1 +95432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.390019052,1 +95434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.279821872,1 +95435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.482804843,1 +95436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.000273695,1 +95437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.555848367,1 +95439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.883963617,1 +95438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.802304249,1 +95440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.536602174,1 +95442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.902735578,1 +95443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.353547834,1 +95444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.501611678,1 +95445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.209090676,1 +95441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.649330594,1 +95446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.286876675,1 +95447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.075414297,1 +95448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.748726424,1 +95450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.771158571,1 +95451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.548404726,1 +95453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.44779022,1 +95449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.470166862,1 +95452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.907840546,1 +95454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.910581859,1 +95455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.549377947,1 +95456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.633312474,1 +95457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.868369697,1 +95458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.177188907,1 +95459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.851144592,1 +95461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.803223398,1 +95460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.05368204,1 +95462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.394480956,1 +95463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.421881267,1 +95464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.173359408,1 +95466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.828781106,1 +95468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.527333865,1 +95467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.172102671,1 +95465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.797626584,1 +95469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.580260314,1 +95471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.189185935,1 +95472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,7.781197884,1 +95470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.162831024,1 +95473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.730229206,1 +95474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.811851303,1 +95475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.359188549,1 +95476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.730015714,1 +95477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.805518789,1 +95478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.11857232,1 +95480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.028446714,1 +95481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.058406413,1 +95483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.81821518,1 +95479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.47464992,1 +95482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.138229877,1 +95484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.642227621,1 +95485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.663074202,1 +95487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.336187097,1 +95486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.233471585,1 +95488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.524686405,1 +95489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.054092872,1 +95490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.750890104,1 +95491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.521060107,1 +95492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.957945304,1 +95493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.195078661,1 +95495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.862608821,1 +95496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.748133466,1 +95497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.984618575,1 +95494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.093001092,1 +95501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.905180801,1 +95498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.523983016,1 +95499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.878640904,1 +95500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.957451129,1 +95504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.412877046,1 +95503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.538558865,1 +95505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.620444362,1 +95502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.318576822,1 +95506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.636270066,1 +95508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.252985381,1 +95507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.310230262,1 +95510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.437739564,1 +95511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,7.346052481,1 +95509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.682496003,1 +95512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.785660078,1 +95513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.800728754,1 +95514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.065123421,1 +95515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.956183966,1 +95516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.868686106,1 +95517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.160147907,1 +95518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.906926073,1 +95519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.791846745,1 +95520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.970160839,1 +95521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.744504631,1 +95522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.879850958,1 +95525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.521739431,1 +95526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.419654647,1 +95524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.744333222,1 +95527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.010897979,1 +95523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.055984869,1 +95528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.031753473,1 +95529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.534997629,1 +95531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.219602943,1 +95533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.707696666,1 +95532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.285586568,1 +95530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.310152743,1 +95534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.900675187,1 +95536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.938066441,1 +95535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.89459155,1 +95537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.465776217,1 +95538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.556975311,1 +95539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.685230885,1 +95541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.286286814,1 +95540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.39420817,1 +95543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.308795759,1 +95544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.772216208,1 +95545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.441493534,1 +95542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.407062753,1 +95548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.129116777,1 +95547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.677792474,1 +95546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.175875983,1 +95549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.367176227,1 +95551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.781506462,1 +95552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,8.018111251,1 +95553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.112635197,1 +95550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.496181844,1 +95554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.33614512,1 +95555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.910337187,1 +95556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.142468354,1 +95557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.448417671,1 +95558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.714410548,1 +95559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.383411977,1 +95561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.634588652,1 +95562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.905241753,1 +95560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.983177834,1 +95563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.044618941,1 +95565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.295003686,1 +95566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.056440485,1 +95567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.665509086,1 +95564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.704574696,1 +95568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.359534786,1 +95569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.610376131,1 +95570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.263277536,1 +95571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.175996604,1 +95572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.308544938,1 +95573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,1.699117779,1 +95574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.610828893,1 +95575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.446806351,1 +95576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.865254046,1 +95577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.958986573,1 +95578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.933104397,1 +95580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.341037641,1 +95581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.482334087,1 +95582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.599661655,1 +95583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.07645104,1 +95584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.007494075,1 +95585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.554509222,1 +95579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.725931857,1 +95586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.677186796,1 +95587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.689450132,1 +95588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.350387247,1 +95589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.659559175,1 +95591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.560113892,1 +95590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.47742807,1 +95592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,8.483810966,1 +95594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.335577427,1 +95593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.247681321,1 +95596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.858832306,1 +95595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.994868861,1 +95597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.069578625,1 +95599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.415319662,1 +95601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.609840319,1 +95600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,7.954841545,1 +95598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.349036156,1 +95602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.341691579,1 +95604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.535206637,1 +95603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.34983364,1 +95606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.391375918,1 +95605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.242603119,1 +95607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.466291739,1 +95608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.373480835,1 +95609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.941413878,1 +95610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.084221789,1 +95611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.784295967,1 +95612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.160061511,1 +95613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.994970754,1 +95615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.374896466,1 +95614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.517693742,1 +95616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.34944879,1 +95618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.915840724,1 +95617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.960639928,1 +95619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.085986322,1 +95620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.987439537,1 +95621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.504509296,1 +95622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.532902053,1 +95623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.705756178,1 +95624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.974056698,1 +95625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.756045438,1 +95626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.51611892,1 +95627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.563167199,1 +95628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.914878625,1 +95630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.584532576,1 +95629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.832237993,1 +95631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.187589134,1 +95632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.892295683,1 +95633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.949772329,1 +95634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.619319654,1 +95637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.172184778,1 +95635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.457917177,1 +95636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.111890468,1 +95638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.331569095,1 +95639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.04068886,1 +95641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.402552503,1 +95642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.09695618,1 +95640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.031515964,1 +95643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.525940748,1 +95644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.687043188,1 +95645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.025855409,1 +95647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.187662562,1 +95648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.102537075,1 +95646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.835595995,1 +95649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.306644573,1 +95650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.260174342,1 +95651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.118264162,1 +95652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.894607456,1 +95653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.994624229,1 +95655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.972341728,1 +95654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.312794741,1 +95657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.957468114,1 +95659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.728977464,1 +95658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.939811361,1 +95660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.954219765,1 +95662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.335860119,1 +95661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.37905371,1 +95656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.050359264,1 +95663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.024277564,1 +95665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.738679437,1 +95664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.177941923,1 +95666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.18643654,1 +95667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.990662214,1 +95668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.577140046,1 +95669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.154166578,1 +95670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.065842396,1 +95671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.283634426,1 +95672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.692945864,1 +95673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.862443082,1 +95674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.136586309,1 +95675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.048846417,1 +95676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.934486859,1 +95677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.639202047,1 +95679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.600448088,1 +95680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.401643057,1 +95681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.036242793,1 +95678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.151014179,1 +95682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.915527585,1 +95683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.688038707,1 +95684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.818258364,1 +95685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.28105601,1 +95687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.33639907,1 +95686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.654967086,1 +95688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.090524063,1 +95689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.229132871,1 +95690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.51266978,1 +95691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.761006811,1 +95692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.199095325,1 +95693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.104097083,1 +95694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.483723969,1 +95695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.218194253,1 +95696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.34780748,1 +95697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.518120657,1 +95698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.116526804,1 +95699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.936267837,1 +95700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.070879564,1 +95701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.811448747,1 +95702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.171240449,1 +95703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.977828435,1 +95704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.855493526,1 +95706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.089879141,1 +95707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.279526078,1 +95708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.017631631,1 +95705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.399146448,1 +95710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.644658714,1 +95709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.601509326,1 +95711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.324290599,1 +95714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.512782032,1 +95712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.361480625,1 +95713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.370884181,1 +95715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.610969007,1 +95716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.111643568,1 +95717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.887126628,1 +95718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.170681714,1 +95719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.087719515,1 +95720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,7.295696105,1 +95722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,7.043287784,1 +95721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.844564439,1 +95723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.106154827,1 +95724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.108166427,1 +95725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.341991767,1 +95726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.872974327,1 +95727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.656615032,1 +95728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.921672476,1 +95729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.713903575,1 +95730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.979810517,1 +95731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.757042925,1 +95732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.346403214,1 +95733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.907009362,1 +95735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.708336645,1 +95736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.892909562,1 +95737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.648480793,1 +95734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.027135231,1 +95738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.759526014,1 +95739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.292045874,1 +95740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.107746424,1 +95741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.448897635,1 +95742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.68387298,1 +95743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.03295248,1 +95745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.703635746,1 +95744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,7.060837492,1 +95746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.147757088,1 +95747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.655851088,1 +95749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.148594934,1 +95750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.101811302,1 +95751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.394536048,1 +95748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.432834783,1 +95752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.817374756,1 +95753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.955274611,1 +95754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.202663029,1 +95756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.38254515,1 +95757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.758136466,1 +95755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.143957524,1 +95758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.612406478,1 +95759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.576683397,1 +95760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.910044136,1 +95762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.042828344,1 +95761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.269217729,1 +95763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.505071537,1 +95765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.629405674,1 +95764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.450536929,1 +95766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.482090155,1 +95767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.274236011,1 +95768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.073549107,1 +95769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.686512961,1 +95771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.343907059,1 +95772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.399093799,1 +95773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.511849884,1 +95774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.394047454,1 +95770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.945355875,1 +95775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.748581665,1 +95776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.626572531,1 +95778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.37149079,1 +95777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.103948967,1 +95779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.389342753,1 +95780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.251522697,1 +95782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.499559325,1 +95781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.453116007,1 +95783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.707296417,1 +95784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.399800071,1 +95785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.950287765,1 +95787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.330473421,1 +95788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.630641376,1 +95789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.734876313,1 +95786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.587140374,1 +95790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.243909608,1 +95793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.306812761,1 +95792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.654140592,1 +95791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.269895531,1 +95794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.882899238,1 +95796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.390621843,1 +95795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.629527421,1 +95797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.58053388,1 +95798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.420877075,1 +95801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,7.921058617,1 +95799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.108521094,1 +95800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.419527071,1 +95802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.1429349,1 +95803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.865414477,1 +95805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.2590419,1 +95807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.407871847,1 +95804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,1.531504647,1 +95806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.817657753,1 +95808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.58483628,1 +95809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.622267178,1 +95811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.512470805,1 +95810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.167156962,1 +95812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.367034185,1 +95814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.325231229,1 +95813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,7.635315404,1 +95816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.601201124,1 +95815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.173183649,1 +95817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.985121883,1 +95819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.446041273,1 +95818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,7.023536077,1 +95820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.221983418,1 +95822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.585017439,1 +95823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.834094834,1 +95821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.067398046,1 +95824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,7.109457245,1 +95826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.656975107,1 +95825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.427952454,1 +95827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.649628583,1 +95829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.866779321,1 +95830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.745304543,1 +95828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.402754455,1 +95831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.442558102,1 +95833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.190873062,1 +95832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,7.458638566,1 +95835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.998133205,1 +95834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.970821996,1 +95836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.105763832,1 +95837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.160630117,1 +95838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.832577077,1 +95839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.936799615,1 +95842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.943917198,1 +95840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.045163633,1 +95841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.619451301,1 +95843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.636104858,1 +95844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.384641615,1 +95845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,8.855317975,1 +95846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.096140324,1 +95850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.515618942,1 +95849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.074797682,1 +95848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.55706597,1 +95847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.707328844,1 +95853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.096194362,1 +95854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.000266507,1 +95851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.874975477,1 +95852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.967394484,1 +95855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.370385809,1 +95857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.648522271,1 +95858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.852011353,1 +95859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.651417641,1 +95860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.275172577,1 +95861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.607917788,1 +95862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.722316551,1 +95863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.945958023,1 +95856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.322790921,1 +95864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.353880143,1 +95865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.18520896,1 +95867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.90474124,1 +95866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.066830282,1 +95868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.690663951,1 +95869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.985486156,1 +95870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.792658628,1 +95871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.463037515,1 +95873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.348574968,1 +95872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.675948774,1 +95874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.076338919,1 +95875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.540522214,1 +95877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.567451692,1 +95876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.195365435,1 +95879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.759856867,1 +95880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.484149928,1 +95878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.763722014,1 +95881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.275594527,1 +95882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.624433793,1 +95883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.205752981,1 +95884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.091211473,1 +95885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.801305226,1 +95887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.586509823,1 +95886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.907784203,1 +95888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.406833733,1 +95889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.815235962,1 +95891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.885488775,1 +95890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,7.912711764,1 +95893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.677554485,1 +95894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.334422343,1 +95895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.86185043,1 +95892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.85424719,1 +95896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.248031129,1 +95899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.876886168,1 +95900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.968218202,1 +95898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.417950195,1 +95897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.42971969,1 +95901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.684214798,1 +95903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.517432095,1 +95904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.629732134,1 +95902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.481445901,1 +95905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.028141864,1 +95906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.894588841,1 +95908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.847262152,1 +95907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.204843091,1 +95910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.16628071,1 +95912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.891616508,1 +95911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.30924722,1 +95909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.141227483,1 +95914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.558398272,1 +95915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,7.301247561,1 +95913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.706224492,1 +95916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.912918598,1 +95918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.27521603,1 +95917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.059286658,1 +95919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.385299668,1 +95920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.483429215,1 +95921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.692383941,1 +95922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.206537001,1 +95923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.451972183,1 +95925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.988216688,1 +95924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.441348319,1 +95926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.594468629,1 +95927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.512138095,1 +95930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.96257741,1 +95928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.15123876,1 +95929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.430455904,1 +95931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.338401289,1 +95932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.807998162,1 +95933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.176805223,1 +95934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.089857448,1 +95935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.283397342,1 +95936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.426885171,1 +95937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.8692768,1 +95939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.647596702,1 +95938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.983876546,1 +95940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.748461301,1 +95941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.368990752,1 +95942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.621786672,1 +95943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.935564803,1 +95944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.398136463,1 +95945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.786416097,1 +95946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.370511416,1 +95948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,7.375195673,1 +95949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.939403259,1 +95950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.556718976,1 +95952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.339368449,1 +95951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.08807683,1 +95947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.193125686,1 +95953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.414326675,1 +95954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.095044675,1 +95955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.358912314,1 +95957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.781790524,1 +95956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.016481048,1 +95959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.564240062,1 +95958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.756827685,1 +95961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.814333125,1 +95960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.157115003,1 +95962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.542279225,1 +95963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.375074955,1 +95965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.576885551,1 +95964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.035461441,1 +95966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.950473068,1 +95967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.848335068,1 +95968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.216629675,1 +95969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.564855449,1 +95970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.666876028,1 +95971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.942013111,1 +95972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.696363212,1 +95973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.837318397,1 +95974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.165916858,1 +95975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.059635617,1 +95976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.778724317,1 +95978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.499716598,1 +95977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.596551829,1 +95979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.619490678,1 +95980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.915101306,1 +95981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.919744046,1 +95982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.772623482,1 +95983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.37424641,1 +95984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.619719983,1 +95985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.75033851,1 +95987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.61402601,1 +95988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.332873673,1 +95986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.819628713,1 +95989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.551058004,1 +95991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.852117998,1 +95990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,2.338138905,1 +95992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.659475508,1 +95993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.870709126,1 +95995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,5.496886719,1 +95994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.954205144,1 +95996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,6.615619277,1 +95997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.071544695,1 +95999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.10740978,1 +95998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,4.7303353,1 +96000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,6,1,3.685834803,1 +105001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.212032788,1 +105002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.733083932,1 +105003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.008588498,1 +105004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.269736295,1 +105007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.672270885,1 +105005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.218847843,1 +105006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.305257071,1 +105009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.059724154,1 +105008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.70971853,1 +105011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.899993732,1 +105010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.786875724,1 +105013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.519946377,1 +105014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.320387311,1 +105015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.218844052,1 +105016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.243263487,1 +105017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.37891456,1 +105018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.364877351,1 +105019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.543130244,1 +105012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.991370108,1 +105020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.955656897,1 +105021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.151183529,1 +105023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,8.847148376,1 +105025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.747531642,1 +105022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.684920416,1 +105024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.45240722,1 +105026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.541371016,1 +105027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.657885407,1 +105028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.547901741,1 +105029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.822139657,1 +105030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.168205158,1 +105031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.884632891,1 +105032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.33125617,1 +105033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.608541361,1 +105035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.874582956,1 +105036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.608121973,1 +105037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.151827014,1 +105038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.897314263,1 +105039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.913863468,1 +105034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.754847289,1 +105040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.469769411,1 +105041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.458942981,1 +105043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.886358306,1 +105045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.50518957,1 +105042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.271107441,1 +105044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.623993077,1 +105046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.817466619,1 +105047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.71658455,1 +105048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.213287344,1 +105050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.670172631,1 +105049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.911345385,1 +105051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.621344157,1 +105052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.38439921,1 +105054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.559604029,1 +105055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.631038029,1 +105056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.787788331,1 +105057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.213984906,1 +105059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.641127256,1 +105053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.238600078,1 +105058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.229028513,1 +105062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.212024452,1 +105060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.191242391,1 +105061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.055768928,1 +105063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.474106299,1 +105065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.78288837,1 +105064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.949873767,1 +105066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.16036291,1 +105067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.143154307,1 +105068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.255892886,1 +105069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.49157172,1 +105070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.170330302,1 +105071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.41884009,1 +105072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.287158029,1 +105074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.225292939,1 +105073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.843695471,1 +105076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.944247719,1 +105077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.658720204,1 +105075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.430933164,1 +105079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.6174793,1 +105081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.680893284,1 +105078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.692042992,1 +105082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.165439583,1 +105080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.324252646,1 +105083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,8.028701891,1 +105084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.890562409,1 +105085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.258205168,1 +105087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.576084714,1 +105086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,8.56481206,1 +105088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.943757044,1 +105089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.916940848,1 +105090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.458814897,1 +105091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.917158179,1 +105092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.948954589,1 +105094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.401438902,1 +105095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.443636493,1 +105096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.478747875,1 +105093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.484607805,1 +105097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.855881431,1 +105098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.682561224,1 +105099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.856832341,1 +105100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.401195702,1 +105101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.233560364,1 +105105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.695831829,1 +105103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.138752236,1 +105102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.921113728,1 +105104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.046813542,1 +105107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.098345194,1 +105106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.139042596,1 +105108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.291834772,1 +105109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.32970093,1 +105110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.892622904,1 +105112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.733929725,1 +105113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.564200684,1 +105111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.070127923,1 +105115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.158068869,1 +105118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.51788205,1 +105114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.212700563,1 +105116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.723000292,1 +105117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.635127447,1 +105119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.691436425,1 +105120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.103956898,1 +105121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.135717303,1 +105122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.543035556,1 +105123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.410070263,1 +105124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.558423359,1 +105125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.691798086,1 +105126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.890884478,1 +105127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.345998951,1 +105128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.04962967,1 +105129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.25063191,1 +105130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.840525127,1 +105132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.81055706,1 +105134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.443116695,1 +105131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.527175446,1 +105133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.224996291,1 +105135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.768874587,1 +105137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.707149847,1 +105136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.063382274,1 +105138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.563932407,1 +105139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.774481539,1 +105140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.885205187,1 +105141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.145816429,1 +105143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.819270706,1 +105142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.349053094,1 +105144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.580075415,1 +105145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.883309253,1 +105146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.685306635,1 +105147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.913605282,1 +105148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.888566059,1 +105149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.394711912,1 +105150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.321964363,1 +105153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.668027721,1 +105152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.418335135,1 +105151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.786363852,1 +105156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.902625068,1 +105154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.614003762,1 +105157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.326052437,1 +105155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.842374524,1 +105158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.36330703,1 +105159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.165216666,1 +105160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.660519344,1 +105161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.348476911,1 +105162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.654086862,1 +105163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.352144802,1 +105164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.238435588,1 +105165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.809000002,1 +105166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.065212742,1 +105168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.864296014,1 +105167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.241845422,1 +105169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.059477157,1 +105170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.888499667,1 +105173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.958618617,1 +105172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.621560874,1 +105171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.739203793,1 +105174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.314471448,1 +105175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.777227614,1 +105176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.517077033,1 +105178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.580694452,1 +105177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.696433813,1 +105179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.322756854,1 +105180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,9.189213636,1 +105182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.267004259,1 +105183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.65968557,1 +105181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.612387134,1 +105184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.611850019,1 +105186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.709150027,1 +105185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.567369072,1 +105187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.004450153,1 +105188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.281226806,1 +105189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.736798675,1 +105192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.825551243,1 +105191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.306484137,1 +105190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.469121219,1 +105193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.470104443,1 +105195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.250177758,1 +105194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.77681612,1 +105196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.543257304,1 +105197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.723029113,1 +105198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.42540501,1 +105199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.132189298,1 +105201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.430726404,1 +105202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.427358146,1 +105203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.738177566,1 +105205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.058838537,1 +105204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.376419216,1 +105206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.338659596,1 +105200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.787879931,1 +105210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.963974088,1 +105208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.837741889,1 +105207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.114615445,1 +105209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.571459375,1 +105212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.313860533,1 +105213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.227913596,1 +105214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.333342922,1 +105211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.1155178,1 +105215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.586947578,1 +105216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.026937217,1 +105217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.736038027,1 +105220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.658318931,1 +105219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.758203228,1 +105221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.120317074,1 +105222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.035096838,1 +105218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.442544743,1 +105223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.003009817,1 +105224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.297057777,1 +105226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.899360965,1 +105225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.106889233,1 +105228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.876482412,1 +105227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.603095557,1 +105229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.918905312,1 +105230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.752647597,1 +105231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.03415212,1 +105234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.726366742,1 +105232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.296823634,1 +105233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.701062473,1 +105235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.89517609,1 +105236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.601573017,1 +105237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.511463157,1 +105239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.436842183,1 +105241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.414864824,1 +105242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.946433845,1 +105238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.100443254,1 +105240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.035324798,1 +105243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.104770337,1 +105245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.657642943,1 +105244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.455888395,1 +105246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.246723427,1 +105247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.572135047,1 +105249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.337663547,1 +105248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.560023998,1 +105250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.517772482,1 +105251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.765170455,1 +105253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.143934405,1 +105252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.884399578,1 +105254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.4163145,1 +105255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.68947544,1 +105256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.736789806,1 +105258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.295573401,1 +105259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.745027811,1 +105257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.53298531,1 +105260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.412363689,1 +105261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.558628078,1 +105262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.181403946,1 +105263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.661224678,1 +105265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.275493815,1 +105267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.491205807,1 +105264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.818739368,1 +105268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.371258304,1 +105266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.714242869,1 +105271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.674819402,1 +105270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.78315061,1 +105269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.311060404,1 +105272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.304401792,1 +105273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.254889837,1 +105274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.785830963,1 +105275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.554014446,1 +105276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.84761751,1 +105277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.83149951,1 +105278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.459632185,1 +105279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.355865117,1 +105282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.66728021,1 +105281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.216929474,1 +105280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.970724987,1 +105284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.490285587,1 +105283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.445823185,1 +105285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.725240217,1 +105286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.348872191,1 +105288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.156855656,1 +105287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.893108674,1 +105289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.912280068,1 +105290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.556597794,1 +105291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.281353063,1 +105292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.064023971,1 +105293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.495300602,1 +105295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.965949361,1 +105294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.992817909,1 +105297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.860457348,1 +105296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.277612476,1 +105298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.590950207,1 +105299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.391029889,1 +105301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.317074088,1 +105304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.515666862,1 +105303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.907017162,1 +105302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.367209062,1 +105300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.049179598,1 +105305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.970871741,1 +105306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.638827875,1 +105307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.650139917,1 +105308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.825140441,1 +105309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.855937412,1 +105311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.561984508,1 +105312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.960191381,1 +105310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.703708338,1 +105314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.226354927,1 +105315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.635531789,1 +105313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.398048051,1 +105318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.888641963,1 +105316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.358319844,1 +105317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.070918664,1 +105319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.54087214,1 +105322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.066999877,1 +105323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.451087735,1 +105321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.687898844,1 +105320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.527070639,1 +105324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.466379453,1 +105326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.897718359,1 +105327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.862626319,1 +105325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.331903022,1 +105328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.721765033,1 +105329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.936751927,1 +105330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.846302612,1 +105331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.595067799,1 +105334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.272369599,1 +105333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.586996444,1 +105332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.529815017,1 +105336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.311233617,1 +105335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.601508755,1 +105338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.463686893,1 +105337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.741397102,1 +105340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.178990644,1 +105341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,8.265604545,1 +105342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.796771756,1 +105339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.097977409,1 +105343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.822619226,1 +105344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.604811522,1 +105345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.120586102,1 +105346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.962960871,1 +105348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.527846697,1 +105347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.167372357,1 +105349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.784543542,1 +105350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.887019583,1 +105352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.187511142,1 +105354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.725617336,1 +105351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.181812352,1 +105356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.238103007,1 +105353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.48481437,1 +105357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.11206619,1 +105359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.339155141,1 +105360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.847930143,1 +105358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.519915354,1 +105355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.528036816,1 +105361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.964518298,1 +105362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,8.147430399,1 +105363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.22063448,1 +105364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.978965804,1 +105365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.526492407,1 +105367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.879195328,1 +105366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.116471966,1 +105368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.7691375,1 +105370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.747194155,1 +105369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.167967838,1 +105372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.806316626,1 +105373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.515381805,1 +105371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.12572791,1 +105374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.107184245,1 +105377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.8746973,1 +105378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.435247177,1 +105376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.312324634,1 +105375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.51419895,1 +105381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.426873305,1 +105379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.930328171,1 +105380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.171830972,1 +105382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.63909631,1 +105383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.780317063,1 +105384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.574932266,1 +105385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.131470532,1 +105387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.354339172,1 +105386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.251527955,1 +105388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.111953925,1 +105389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.431281739,1 +105391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.27125411,1 +105392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.611981908,1 +105390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.667945367,1 +105393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.530908699,1 +105395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.390474701,1 +105394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.913886873,1 +105397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.247081005,1 +105396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.436456638,1 +105398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.484498025,1 +105399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.479906588,1 +105400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.921494722,1 +105401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.819700905,1 +105403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.286945251,1 +105405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.11953166,1 +105404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.002831341,1 +105402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.745532884,1 +105407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.43068675,1 +105406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.446726977,1 +105409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.453810307,1 +105408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.655305294,1 +105411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.946264219,1 +105413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.33678395,1 +105410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.625093678,1 +105412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.916848187,1 +105414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.732522931,1 +105415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.524545745,1 +105416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.702020555,1 +105417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.582162965,1 +105418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.797317303,1 +105419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.537189398,1 +105420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.12531181,1 +105422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.285872696,1 +105423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.170466254,1 +105421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.382182503,1 +105424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.156235332,1 +105427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.007903758,1 +105425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.57405451,1 +105426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.131192963,1 +105429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.830814184,1 +105428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.50761286,1 +105430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.145397444,1 +105431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.51327969,1 +105433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.560229126,1 +105434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.183574506,1 +105435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.459764947,1 +105432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.197939384,1 +105436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.872563006,1 +105438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.779794756,1 +105437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.35073406,1 +105439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.352407671,1 +105440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.487139652,1 +105441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.262692222,1 +105442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.210917916,1 +105443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.711774782,1 +105444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.341881996,1 +105446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.238824579,1 +105445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.660794322,1 +105447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.929715233,1 +105449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.292813373,1 +105450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.054544992,1 +105448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.214337711,1 +105451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.400998786,1 +105452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.291391714,1 +105453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.249637588,1 +105454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.873647976,1 +105455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.694166237,1 +105457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.300147313,1 +105456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.036709414,1 +105458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.644307817,1 +105459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.738422283,1 +105460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.831169561,1 +105461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.826738148,1 +105462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.136190479,1 +105463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.734845811,1 +105466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.526382738,1 +105465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.519937256,1 +105469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.588353742,1 +105468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.474436148,1 +105464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.08019847,1 +105467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.713225263,1 +105470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.681024607,1 +105471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.896184608,1 +105472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.423500045,1 +105473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.366822232,1 +105474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.553322599,1 +105475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.280748019,1 +105476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.864245093,1 +105477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.423294138,1 +105479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.28878377,1 +105480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.341367136,1 +105481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.870896063,1 +105478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.884038995,1 +105482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.88839183,1 +105484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.602554834,1 +105485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.827299263,1 +105483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.927727952,1 +105486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.320285537,1 +105488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.805888457,1 +105489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.548989884,1 +105487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.904588349,1 +105490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.900257044,1 +105491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.840316042,1 +105492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.256256793,1 +105493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.03024519,1 +105494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.250745356,1 +105495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.029714348,1 +105496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.321900208,1 +105498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.706687332,1 +105497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.843354155,1 +105500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.32163832,1 +105502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.015268547,1 +105499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.486359369,1 +105501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.160504895,1 +105505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.077194756,1 +105503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.654534948,1 +105504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.008513888,1 +105506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.467169303,1 +105507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.454276615,1 +105508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.227258618,1 +105509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.843833069,1 +105510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.31107525,1 +105511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.819347248,1 +105512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.020436143,1 +105513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.145846885,1 +105514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.3587943,1 +105515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.49651278,1 +105516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.119523825,1 +105518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.717966784,1 +105517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.465873374,1 +105520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.989028643,1 +105519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.865650337,1 +105521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.381403843,1 +105522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.045402829,1 +105524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.659106435,1 +105523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.403115338,1 +105525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.522923759,1 +105528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.021286273,1 +105527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.73474329,1 +105526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.811400428,1 +105529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.025792645,1 +105530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.701767862,1 +105531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.731770827,1 +105533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.869161455,1 +105532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.178740799,1 +105534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.639336403,1 +105536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.964268572,1 +105535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.630562191,1 +105537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.688012362,1 +105538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.669241571,1 +105540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.22758417,1 +105542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.384766458,1 +105541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.099985039,1 +105539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.354818769,1 +105543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.865931675,1 +105544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.121392959,1 +105545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.148708069,1 +105546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.296764656,1 +105547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.645042447,1 +105548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.876923328,1 +105550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.49061849,1 +105551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.652638807,1 +105549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.791417223,1 +105553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.744312564,1 +105552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.689016459,1 +105555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.710425119,1 +105554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.725404073,1 +105557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.547554205,1 +105558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.840986537,1 +105559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.904145038,1 +105560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.526286919,1 +105556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.327624283,1 +105561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.194881289,1 +105563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.060941337,1 +105564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.672838516,1 +105562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.315070912,1 +105565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.867248856,1 +105566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.713121574,1 +105567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.343438965,1 +105568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.827748609,1 +105569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.946416137,1 +105570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.570351476,1 +105571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.193280437,1 +105572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.901900836,1 +105575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.129335444,1 +105573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.715020602,1 +105574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.097313119,1 +105576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.344875122,1 +105577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.126975146,1 +105579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.448247104,1 +105578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.688630187,1 +105580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.920639368,1 +105581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.810551826,1 +105582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,9.348161573,1 +105584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.107455088,1 +105583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.404474587,1 +105585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.374419833,1 +105586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.157617491,1 +105587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.045320808,1 +105588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.24599668,1 +105589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.836768112,1 +105590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.950453101,1 +105593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.171651167,1 +105592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.023730466,1 +105591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.054962536,1 +105596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.305302349,1 +105594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.94559869,1 +105597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.552039476,1 +105595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.770396737,1 +105599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.744229583,1 +105600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.714578889,1 +105601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.368980398,1 +105598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.918598018,1 +105602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.938477688,1 +105603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.489369248,1 +105604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.558651439,1 +105606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.755767439,1 +105607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.716516901,1 +105608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.579809327,1 +105605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.870134096,1 +105610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.994679206,1 +105609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.813766258,1 +105612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.313615064,1 +105611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.023803006,1 +105614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.377364808,1 +105615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,8.070455643,1 +105613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.461222463,1 +105616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.928628033,1 +105617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.292261198,1 +105619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.727387511,1 +105620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.484762203,1 +105621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.007025071,1 +105622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.028929731,1 +105623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.183738889,1 +105624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.945331872,1 +105618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.39613042,1 +105625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.100459381,1 +105626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.103428899,1 +105627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.272797347,1 +105628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.749798716,1 +105629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.260161463,1 +105631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.639338352,1 +105633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.459223206,1 +105632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.824471394,1 +105630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.201106866,1 +105634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.777635659,1 +105635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.92304607,1 +105636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.865399153,1 +105637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.8951257,1 +105638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.250396867,1 +105639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.029372305,1 +105641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.787099984,1 +105642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.022324112,1 +105640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.423461232,1 +105644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.337813193,1 +105643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.682515287,1 +105646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.794923255,1 +105647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.536397422,1 +105645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.685296879,1 +105648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.874726234,1 +105651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.894953646,1 +105650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.887925597,1 +105652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.086259135,1 +105654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.276114574,1 +105653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.988039439,1 +105649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.404781324,1 +105655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.386848479,1 +105656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.12349423,1 +105657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.721391453,1 +105658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,1.983615724,1 +105659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.665824156,1 +105661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.920910811,1 +105662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.784444343,1 +105660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.480238026,1 +105663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.18996398,1 +105665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.007433912,1 +105666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.705163925,1 +105664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.04947496,1 +105668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.477227489,1 +105667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.034126779,1 +105669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,1.786309005,1 +105670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.495565832,1 +105672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.953196288,1 +105673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.765001358,1 +105671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.482661457,1 +105674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.06178079,1 +105675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.197922478,1 +105676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.643381129,1 +105677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.857425847,1 +105678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.256266994,1 +105681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.673041073,1 +105680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.921647537,1 +105682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.87687768,1 +105679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.624842792,1 +105683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.272370335,1 +105684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.796720392,1 +105686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.226941958,1 +105688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.576988362,1 +105687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.862953252,1 +105689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.310609448,1 +105685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.485454264,1 +105690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.546752227,1 +105691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.850801268,1 +105693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.701214967,1 +105694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.604527178,1 +105695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.185429563,1 +105692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.577338758,1 +105696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.485608845,1 +105698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.087737322,1 +105699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.143009946,1 +105700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.18855089,1 +105701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.099255396,1 +105697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.795688989,1 +105705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.262237868,1 +105704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.765816395,1 +105702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.65848197,1 +105706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.449122476,1 +105703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.473775578,1 +105708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.481850024,1 +105707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.145018788,1 +105709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.586364099,1 +105710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.554284674,1 +105711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.346516399,1 +105713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.92236999,1 +105712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.342284564,1 +105714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.023961875,1 +105717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.966887337,1 +105715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.391391229,1 +105718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.440715271,1 +105719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.286505952,1 +105721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.0116898,1 +105716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.047482634,1 +105720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.249355479,1 +105724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,1.829652846,1 +105723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.860179429,1 +105722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.827339999,1 +105726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.722481573,1 +105727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.921980116,1 +105725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.038410689,1 +105728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.899779856,1 +105729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.214201842,1 +105730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.243408531,1 +105731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.109007652,1 +105732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.945130271,1 +105733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.345295049,1 +105734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.170934439,1 +105735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.750420322,1 +105736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.246053073,1 +105738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.120407868,1 +105740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.587930315,1 +105739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.386607954,1 +105737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.475587655,1 +105744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.705198241,1 +105741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.92064187,1 +105743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.075844392,1 +105742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.697885591,1 +105745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.878698803,1 +105746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.96755321,1 +105748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.907834002,1 +105747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.056304682,1 +105749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.598227569,1 +105750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.684005423,1 +105751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.764064058,1 +105752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.924845159,1 +105753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.506307692,1 +105754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.582543564,1 +105755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.899887138,1 +105756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.493782511,1 +105758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.174737408,1 +105757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.095090656,1 +105761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.814033564,1 +105760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.861913225,1 +105762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.818396934,1 +105759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.815424197,1 +105763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.332168684,1 +105764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.086637122,1 +105765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.604044187,1 +105766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.334954754,1 +105767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.280005169,1 +105768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.113837013,1 +105769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.59362659,1 +105770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.214522717,1 +105771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.412390131,1 +105772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.114121157,1 +105773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.767369408,1 +105774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.445690667,1 +105776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.154704077,1 +105778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.455450928,1 +105775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.599853898,1 +105777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.147038532,1 +105779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.414671768,1 +105782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.577301806,1 +105781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.47327512,1 +105780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.447675201,1 +105783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.22828952,1 +105784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.025209301,1 +105786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.502452288,1 +105785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.296788798,1 +105787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.468521371,1 +105789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.586264808,1 +105788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.716982146,1 +105791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.136898229,1 +105790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.710014625,1 +105792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.244825138,1 +105794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.571905148,1 +105793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.910781295,1 +105796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.358378959,1 +105798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.634610212,1 +105795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.583791131,1 +105797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.054603367,1 +105800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.742166023,1 +105801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.079411543,1 +105802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.587969695,1 +105799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.789784026,1 +105803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.41988833,1 +105804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.864412932,1 +105805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.464750008,1 +105807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.160098931,1 +105806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.832449679,1 +105808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.09176196,1 +105809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.376860995,1 +105811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.447777266,1 +105810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.305497819,1 +105814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.475664097,1 +105813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.301049327,1 +105815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.333971123,1 +105812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,1.791957975,1 +105817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.579406059,1 +105818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.543912012,1 +105816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.659700208,1 +105819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.066486482,1 +105820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.707440642,1 +105821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.844214189,1 +105822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.015504846,1 +105823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.403088566,1 +105824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.571423552,1 +105825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.574524779,1 +105826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.398368105,1 +105829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.443478588,1 +105827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.035218229,1 +105828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.041201783,1 +105831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.046653988,1 +105832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.379914842,1 +105830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.79052601,1 +105833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.50965258,1 +105834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.989651149,1 +105836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.477171362,1 +105837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.267842362,1 +105835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.082572432,1 +105838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.940455087,1 +105839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.092488159,1 +105840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.662375199,1 +105842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.066815445,1 +105841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.110416997,1 +105843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.63977975,1 +105844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,8.109197322,1 +105845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.944513046,1 +105846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.521407964,1 +105847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.308095101,1 +105848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.931140543,1 +105849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.659971886,1 +105850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.584242076,1 +105853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.595589086,1 +105851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.510634824,1 +105854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.136608026,1 +105852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.377541729,1 +105855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.660459192,1 +105856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.664134755,1 +105858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.148287418,1 +105857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.87932154,1 +105860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.114652117,1 +105859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.652549529,1 +105861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.512307241,1 +105862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.09700579,1 +105863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.654304918,1 +105864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.433426807,1 +105865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.050748414,1 +105867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.29603954,1 +105868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.55872219,1 +105866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.102063622,1 +105869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.601701016,1 +105872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.112259552,1 +105871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.215870499,1 +105870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.963799952,1 +105873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.916113816,1 +105874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.834325324,1 +105875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.163240175,1 +105876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.355463157,1 +105877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.666429355,1 +105878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.738761527,1 +105879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.346028387,1 +105880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.013936342,1 +105881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.610147623,1 +105883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.795829762,1 +105882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.149120108,1 +105884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.84211169,1 +105885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.41290821,1 +105886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.000479768,1 +105887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.442348284,1 +105889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.500604144,1 +105888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.084399544,1 +105890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.821629958,1 +105892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.05376461,1 +105891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.414522481,1 +105893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.357880871,1 +105894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.42491696,1 +105895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.406944817,1 +105897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.84119452,1 +105896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.227020008,1 +105898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.398978105,1 +105899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.415472564,1 +105900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.483829761,1 +105901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.266101667,1 +105902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.80434774,1 +105903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.987510502,1 +105904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.841522751,1 +105905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.463519139,1 +105907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.76631741,1 +105906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.417587459,1 +105908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.569421265,1 +105909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.547751687,1 +105910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.093355628,1 +105911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.600079591,1 +105912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.201879504,1 +105914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.845445779,1 +105913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.027562629,1 +105915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.642213356,1 +105916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.096935681,1 +105917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.040536901,1 +105918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.579492147,1 +105919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.78512965,1 +105920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.10117073,1 +105921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.633886568,1 +105923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.046777068,1 +105922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.834926355,1 +105924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.10298281,1 +105926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.514817444,1 +105927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.074319782,1 +105925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.478817577,1 +105930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.530565823,1 +105928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.432335108,1 +105931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.023368748,1 +105929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.873394034,1 +105932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.37121829,1 +105933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.662645318,1 +105934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.070141011,1 +105935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.939546045,1 +105936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.317003214,1 +105937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.368840013,1 +105938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.064427948,1 +105941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.831507155,1 +105939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.899800452,1 +105942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.700307731,1 +105944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.08819279,1 +105940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.699048247,1 +105943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.579294924,1 +105948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.644420896,1 +105947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.75146998,1 +105945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.271885453,1 +105946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,7.37062624,1 +105949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.994561239,1 +105950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.536362132,1 +105951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.502464893,1 +105952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.534734111,1 +105953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.319893476,1 +105954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.092734371,1 +105955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.173354457,1 +105956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.553333841,1 +105957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.885002996,1 +105958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.582322621,1 +105959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.166499878,1 +105960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.628092858,1 +105961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.768610032,1 +105963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.283704579,1 +105962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.929503437,1 +105964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.656103548,1 +105965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.582341227,1 +105966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.876177502,1 +105967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,8.101800375,1 +105968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.410738231,1 +105969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.231952932,1 +105970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.479966655,1 +105971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.56494805,1 +105972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.56769485,1 +105973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.214362567,1 +105974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.324237598,1 +105975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.559310989,1 +105977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.088230411,1 +105978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,6.67088706,1 +105979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.847329707,1 +105976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.765726282,1 +105981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.459729369,1 +105980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.747884445,1 +105982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.655141581,1 +105983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.595097815,1 +105984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.342861412,1 +105986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.877811485,1 +105987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.235258167,1 +105985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.514143807,1 +105988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.6784121,1 +105989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.92269769,1 +105990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.184086343,1 +105991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.451719811,1 +105992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.868873536,1 +105993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.01434142,1 +105995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.947435223,1 +105994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.661022653,1 +105996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,4.630552107,1 +105997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.58107582,1 +105999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,3.454500955,1 +106000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,2.780090745,1 +105998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,6,1,5.906040846,1 +115002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.196864916,1 +115003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.479626982,1 +115001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.484479942,1 +115004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.62743336,1 +115006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.296096724,1 +115007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.299343408,1 +115008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.056640899,1 +115005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.343687939,1 +115009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.058221589,1 +115010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.047653102,1 +115012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.25925964,1 +115011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.63005216,1 +115014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.780721045,1 +115013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.743105594,1 +115015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.284712347,1 +115016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.439781984,1 +115018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.00659134,1 +115019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.017014134,1 +115020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.604323291,1 +115021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.240405363,1 +115017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.208125455,1 +115023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.38556241,1 +115022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.347211643,1 +115024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.769869149,1 +115025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.295284137,1 +115027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.247171062,1 +115026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.626780297,1 +115029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.94119298,1 +115028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.981216208,1 +115030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.317947705,1 +115031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.88056033,1 +115032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.320042151,1 +115034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.333386257,1 +115035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.705383712,1 +115033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.027757203,1 +115038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.479064525,1 +115036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.874138959,1 +115039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.953011061,1 +115037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.784438136,1 +115041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.92615105,1 +115043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.01457398,1 +115040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.186434423,1 +115044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.902305735,1 +115045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.136148298,1 +115046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.452962861,1 +115047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.42251718,1 +115042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.961378239,1 +115048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.47464204,1 +115049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.011582419,1 +115051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.242196711,1 +115052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.776584101,1 +115053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.671534146,1 +115050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.716950313,1 +115057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.334931355,1 +115054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.832672627,1 +115055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.333505948,1 +115056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.247960132,1 +115058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.574450181,1 +115059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.577951401,1 +115060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.953660662,1 +115061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.702082236,1 +115062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.977067008,1 +115064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.706095873,1 +115065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,8.010578854,1 +115063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.626733097,1 +115067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.26713251,1 +115068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.991004247,1 +115066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.24945197,1 +115069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.470771876,1 +115072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,1.733260521,1 +115071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.347802423,1 +115070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.662348468,1 +115073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.683006139,1 +115074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.742103255,1 +115075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.796653082,1 +115076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.878385785,1 +115077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.39582455,1 +115078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.399983622,1 +115079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.040076183,1 +115080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.328912402,1 +115081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,1.673611443,1 +115082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.089098823,1 +115083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.415119336,1 +115086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.066638456,1 +115085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.033175687,1 +115087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.429413356,1 +115084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.765969749,1 +115089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.631053985,1 +115090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.832876113,1 +115088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.63418986,1 +115091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.16920222,1 +115092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.908226115,1 +115093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.849847634,1 +115094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.005582187,1 +115095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.679292472,1 +115097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.956228863,1 +115098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.40866383,1 +115099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.567997767,1 +115096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.325284264,1 +115101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.25326261,1 +115100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.042671909,1 +115102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.648853239,1 +115103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.410643395,1 +115104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.705778853,1 +115105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.792571087,1 +115106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.320884622,1 +115107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.820085537,1 +115108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.010437507,1 +115109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.596244988,1 +115110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.565506451,1 +115111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.995423132,1 +115113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.156366261,1 +115112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.068297702,1 +115114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.175524512,1 +115115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.843802912,1 +115116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.057008471,1 +115118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.40688693,1 +115119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.454855965,1 +115117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.292589254,1 +115120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.363626569,1 +115122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.827406601,1 +115121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.243333672,1 +115123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.374827017,1 +115124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.475891379,1 +115125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.922717115,1 +115126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.375746142,1 +115128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.527395077,1 +115129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.502002099,1 +115130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.57106114,1 +115127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.703462869,1 +115131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.397393461,1 +115132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.146052329,1 +115133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.884879267,1 +115135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.627277357,1 +115136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.419558143,1 +115134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.486245461,1 +115137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.418425288,1 +115138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.636622277,1 +115139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.051853981,1 +115141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.008127042,1 +115142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.938716216,1 +115143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.655384137,1 +115144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.201801353,1 +115145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.323373145,1 +115140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.508537575,1 +115146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,8.013140706,1 +115149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.039787704,1 +115147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.585463923,1 +115148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.698613687,1 +115150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.687480094,1 +115151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.914721733,1 +115152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.489504189,1 +115154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.202011872,1 +115153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.096663808,1 +115156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,7.574000503,1 +115157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.638256808,1 +115158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.080132798,1 +115159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.486444258,1 +115160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.980108688,1 +115161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,7.390030329,1 +115155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.558272951,1 +115164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.717143618,1 +115165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.76663803,1 +115162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.358067585,1 +115163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.459611006,1 +115166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.075783607,1 +115167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.919655085,1 +115168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.048690842,1 +115169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.802221509,1 +115170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.51069984,1 +115172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.323404382,1 +115173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.639326193,1 +115174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.964747711,1 +115175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.138567308,1 +115176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.428032784,1 +115171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.682610858,1 +115177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.02756804,1 +115180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.817281749,1 +115178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.13759831,1 +115179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.219261062,1 +115182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.468361486,1 +115181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,7.409644037,1 +115183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.142935256,1 +115184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.629483622,1 +115185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.355445814,1 +115186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.882888008,1 +115187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.239935756,1 +115188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.744461294,1 +115189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.191319266,1 +115191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.709634798,1 +115192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.240202191,1 +115193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.436189594,1 +115190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.389226341,1 +115194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.210624051,1 +115195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.143188313,1 +115196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.882107283,1 +115197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.569047067,1 +115198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.071659355,1 +115199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.098934576,1 +115200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.451850554,1 +115201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.095393239,1 +115202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.545732919,1 +115203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.263545073,1 +115204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.386601117,1 +115205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.029389731,1 +115206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.303433675,1 +115207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.836320008,1 +115209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.71125503,1 +115208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.361054867,1 +115211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.48234938,1 +115210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.22422428,1 +115212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.426078798,1 +115214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.797301832,1 +115215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.796809511,1 +115213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.617176963,1 +115216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.990014414,1 +115217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.961122819,1 +115218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.624372423,1 +115219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.564152016,1 +115220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.664435234,1 +115221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.663888943,1 +115222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.472918837,1 +115224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.219084548,1 +115223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.377858647,1 +115225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.144123764,1 +115226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.340479917,1 +115228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.143363603,1 +115227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.216061879,1 +115229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.613151884,1 +115232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.610543465,1 +115231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.219168325,1 +115230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.520905457,1 +115233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.640307561,1 +115234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.819737759,1 +115236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.116694327,1 +115235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.589962224,1 +115237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.579207476,1 +115238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.791172947,1 +115239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.99331463,1 +115241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.012706317,1 +115240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.127899651,1 +115242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.976535055,1 +115245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.189822131,1 +115244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.759675884,1 +115246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.26119123,1 +115243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.692651891,1 +115249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.930712008,1 +115248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.101643339,1 +115247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.2853781,1 +115251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.34004332,1 +115252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.192727157,1 +115253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.200945951,1 +115250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.917906104,1 +115254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.792208661,1 +115255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.566567893,1 +115257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.055270102,1 +115256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,1.690685874,1 +115258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.986355897,1 +115259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.965002883,1 +115260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.241048404,1 +115262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.468045493,1 +115261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.937286543,1 +115263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.999884581,1 +115265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.576960162,1 +115266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.327889293,1 +115267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.725096697,1 +115264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.040942978,1 +115269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.926566925,1 +115268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.277058327,1 +115270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.029026253,1 +115271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.6295683,1 +115272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.820280478,1 +115273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.649968355,1 +115275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.038348478,1 +115274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.0262493,1 +115277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.385052776,1 +115276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.358505729,1 +115278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.974334725,1 +115279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.823070496,1 +115280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.315883641,1 +115281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.579295815,1 +115283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.166949562,1 +115284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.937683674,1 +115285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.448981452,1 +115282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.18170896,1 +115287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.76114671,1 +115289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.866946432,1 +115288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.735468716,1 +115286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.262114693,1 +115290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.275407412,1 +115292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.606626669,1 +115291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.81237122,1 +115293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.424923205,1 +115294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.840564604,1 +115296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.264872389,1 +115297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.961324687,1 +115295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.091263142,1 +115298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,1.670084635,1 +115300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.065174677,1 +115301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.075431644,1 +115299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.193420561,1 +115302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.392723027,1 +115303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.486399594,1 +115305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.433966352,1 +115306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.315675514,1 +115304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.93139151,1 +115307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.498540235,1 +115308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.573531491,1 +115309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,7.339520465,1 +115311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.373618165,1 +115312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.884184818,1 +115313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.610070492,1 +115310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.410816522,1 +115314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.559733953,1 +115315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.932190725,1 +115317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.504507368,1 +115316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.148169695,1 +115318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.99560952,1 +115319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.691639245,1 +115321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.05035908,1 +115322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.420781486,1 +115320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.271022217,1 +115323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.401377938,1 +115324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.047198189,1 +115325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.131051554,1 +115327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.40896677,1 +115328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.176337442,1 +115329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.307349706,1 +115326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.871192493,1 +115330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.276818778,1 +115333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.003323085,1 +115332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.795501591,1 +115331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.864880811,1 +115334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.981830083,1 +115335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.193866385,1 +115336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.22958829,1 +115337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.688894974,1 +115338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.979112459,1 +115340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.637032877,1 +115341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.067938205,1 +115342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.186451355,1 +115343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.887224268,1 +115344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.646850761,1 +115339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.265661897,1 +115347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.134996678,1 +115345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.830531975,1 +115346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,9.133903469,1 +115348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.612261325,1 +115350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.511218276,1 +115351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.893877835,1 +115352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.921483792,1 +115349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.872507431,1 +115353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.381053176,1 +115354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.978672862,1 +115356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.893144699,1 +115355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.45040145,1 +115357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.272466298,1 +115358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.736626301,1 +115359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.423146126,1 +115363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.148230273,1 +115360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.607194717,1 +115362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.45289063,1 +115361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.925755497,1 +115366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.977853418,1 +115367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,7.838484547,1 +115365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.845362448,1 +115364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.159589738,1 +115368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.672449579,1 +115369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.514973913,1 +115370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.728726134,1 +115371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.135203735,1 +115373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.377150085,1 +115372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.913475601,1 +115374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.82894542,1 +115375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.949396526,1 +115376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.812577078,1 +115377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.876551265,1 +115379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.455025684,1 +115381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.095099224,1 +115378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.891640831,1 +115380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.620106405,1 +115382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.222604898,1 +115383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.230544207,1 +115384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.675618446,1 +115385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,7.230570104,1 +115386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.056707631,1 +115387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.25317243,1 +115388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.242471144,1 +115389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.521545939,1 +115390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.025302788,1 +115391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.142802149,1 +115392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.257298125,1 +115393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.406093902,1 +115394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.666321475,1 +115396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.275523528,1 +115397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.799152534,1 +115395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.842513519,1 +115398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.197930224,1 +115399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.00976859,1 +115400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.078420431,1 +115402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.876596841,1 +115403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.797364,1 +115401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.706902926,1 +115404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.848810207,1 +115405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.428447476,1 +115406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.837187713,1 +115408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.878696237,1 +115407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.417961686,1 +115409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.979250932,1 +115411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.781385961,1 +115410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.08506862,1 +115413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.75831532,1 +115415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.658236946,1 +115414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.731834312,1 +115412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.512914216,1 +115416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.543665617,1 +115417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.414907816,1 +115418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.955996958,1 +115420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.929039215,1 +115419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.119460991,1 +115421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.881314746,1 +115422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.689551694,1 +115425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.309962875,1 +115423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,1.970183654,1 +115424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.534971953,1 +115426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.708506293,1 +115428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.459339871,1 +115427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.527557036,1 +115430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.204803805,1 +115429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.143937104,1 +115431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.169906658,1 +115432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.970709449,1 +115433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.97994412,1 +115436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.666927131,1 +115435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.86312955,1 +115437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.71612686,1 +115434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.708922947,1 +115438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,8.322058452,1 +115439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.926869078,1 +115441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.857767051,1 +115440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.542679556,1 +115442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.073430652,1 +115443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.185492511,1 +115445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.597011693,1 +115444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.928685116,1 +115446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.498662335,1 +115447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.345445252,1 +115448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.784051201,1 +115449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.416615763,1 +115451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.073811946,1 +115450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.862374769,1 +115452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.573031917,1 +115454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,7.052195065,1 +115455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.723238686,1 +115453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.827427462,1 +115456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.000528346,1 +115459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.333915007,1 +115458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.101419053,1 +115460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.56067677,1 +115457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.549315861,1 +115461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.985353653,1 +115462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.165244108,1 +115463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.436918602,1 +115465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.914489352,1 +115466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.927292856,1 +115467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.181015598,1 +115464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.899469879,1 +115468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.291753252,1 +115470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.021973668,1 +115471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.522307409,1 +115469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.15456516,1 +115473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.420905772,1 +115474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.583798512,1 +115472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.944934998,1 +115475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.240121314,1 +115476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.797395106,1 +115478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.383037749,1 +115477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.172815577,1 +115479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.000348707,1 +115480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.489774967,1 +115481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.422869854,1 +115483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.388331493,1 +115482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.55148722,1 +115485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.423536323,1 +115484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.77754101,1 +115487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.602575162,1 +115486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.74572759,1 +115489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.5322318,1 +115488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.454561003,1 +115490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.330677707,1 +115491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.256438886,1 +115492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,8.534579089,1 +115493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.542163033,1 +115497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.796600173,1 +115496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.17566234,1 +115495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.316155164,1 +115494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.017013508,1 +115498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.516362366,1 +115500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.680008038,1 +115501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.583753727,1 +115499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.860060145,1 +115504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.129275292,1 +115502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.10645162,1 +115505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.686183618,1 +115503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.798286262,1 +115507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.61961114,1 +115506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.997271116,1 +115508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.740560337,1 +115509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.06951847,1 +115510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.380079526,1 +115512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.501272495,1 +115513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,1.841258206,1 +115514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.735044556,1 +115515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.557522694,1 +115511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.446609547,1 +115516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.418532825,1 +115518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.694733477,1 +115517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.689759737,1 +115519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.897242211,1 +115520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.065060625,1 +115522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.876180037,1 +115521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.343085804,1 +115523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.355509339,1 +115524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.185916314,1 +115525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.582657154,1 +115526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.559298291,1 +115527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.401657402,1 +115529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.746277861,1 +115528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.098353811,1 +115530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.943459019,1 +115531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.382947374,1 +115532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.568249218,1 +115535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,7.095503104,1 +115533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.992210015,1 +115534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.641225958,1 +115536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.518042666,1 +115537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.02360186,1 +115538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.951996211,1 +115539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.478847316,1 +115540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.798566876,1 +115541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.846876844,1 +115542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.513379671,1 +115543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.760649158,1 +115544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.785462517,1 +115545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.55048533,1 +115546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.427859481,1 +115547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.177271502,1 +115548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.953864388,1 +115549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.158476835,1 +115550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.48780029,1 +115551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.266000158,1 +115552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.167296622,1 +115553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.845551552,1 +115554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.096588984,1 +115555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.144240028,1 +115556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.72701714,1 +115557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.959038007,1 +115558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.195940391,1 +115559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.124871978,1 +115560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.450255747,1 +115561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.969692383,1 +115563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.925324787,1 +115564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.181917694,1 +115565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.757591058,1 +115566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.723693658,1 +115567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.998127076,1 +115568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.43494655,1 +115562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.463758699,1 +115569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.669450906,1 +115570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.477805809,1 +115571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.289510397,1 +115573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.937610119,1 +115574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.764166497,1 +115572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.802050324,1 +115575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.795735815,1 +115576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.039409231,1 +115577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.178787668,1 +115580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.145665435,1 +115578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.147278566,1 +115581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.311762318,1 +115579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.490024537,1 +115582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.711192737,1 +115584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.765333999,1 +115583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.260788954,1 +115585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.563182189,1 +115587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.950338597,1 +115586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.374991349,1 +115589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.473338776,1 +115590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.767568052,1 +115591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.214668409,1 +115588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.956469164,1 +115592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.640010819,1 +115595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.342505226,1 +115596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.363096851,1 +115593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.363971931,1 +115594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.239747342,1 +115597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.953650768,1 +115599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.076436186,1 +115600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.965533276,1 +115598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.716947226,1 +115601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.259306522,1 +115602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.69874264,1 +115603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.295298646,1 +115604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.693381369,1 +115606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.53170499,1 +115607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.964858884,1 +115608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.077139143,1 +115611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.916635354,1 +115605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.907625045,1 +115610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.446894256,1 +115609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.993924863,1 +115612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.385760426,1 +115614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.097096687,1 +115613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.408937101,1 +115615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.618671774,1 +115616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.352019827,1 +115617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.324599127,1 +115618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.008866331,1 +115619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.077235605,1 +115620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.359843573,1 +115621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.365538637,1 +115623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.271627981,1 +115622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.368409148,1 +115624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.010497477,1 +115626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.438273918,1 +115625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.004155402,1 +115627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.82446751,1 +115628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.699137259,1 +115629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.671192464,1 +115630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.755245479,1 +115631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.325751613,1 +115632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.677028172,1 +115633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.578180504,1 +115634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.289619165,1 +115635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.281522989,1 +115637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.522807778,1 +115636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.149877792,1 +115638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.266573656,1 +115639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.547619669,1 +115640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.043026659,1 +115641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.967696967,1 +115642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.792128704,1 +115644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.462251442,1 +115645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.642392973,1 +115646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.836036955,1 +115643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.891485183,1 +115647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.555982899,1 +115648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.029433818,1 +115649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,8.298089103,1 +115650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.842077898,1 +115651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.900567056,1 +115652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.920319429,1 +115653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.675291261,1 +115654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.026968971,1 +115655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.646897946,1 +115656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.508364459,1 +115657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.440558144,1 +115659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.311333694,1 +115660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.872618309,1 +115661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,7.506749732,1 +115658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.276009506,1 +115662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.196971197,1 +115663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.874836723,1 +115664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.250376705,1 +115666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.315896034,1 +115668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.831540937,1 +115667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.66134847,1 +115665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.540980813,1 +115669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.439516297,1 +115670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.008597592,1 +115672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.507999859,1 +115671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.574744266,1 +115673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.341350618,1 +115674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.696577347,1 +115676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.217425294,1 +115675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.570298024,1 +115677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.589573271,1 +115678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.332506176,1 +115679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.071486247,1 +115681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.696675504,1 +115682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.60704273,1 +115683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.959883223,1 +115684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.535323291,1 +115680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.126343294,1 +115685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.792726855,1 +115686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.901891431,1 +115688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.032321564,1 +115687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.912381315,1 +115689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.096097051,1 +115690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.25799441,1 +115692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.016047379,1 +115691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.929236081,1 +115693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.580570526,1 +115694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.576328565,1 +115695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.229988947,1 +115696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.418304675,1 +115697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.764123233,1 +115698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.392129214,1 +115699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.111449204,1 +115701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.824145806,1 +115702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.822923625,1 +115700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.40932845,1 +115703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.09946154,1 +115705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.438137293,1 +115704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.71172104,1 +115707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.283762519,1 +115706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.980368871,1 +115708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.069032312,1 +115709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.437318482,1 +115710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.207464,1 +115711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.866375443,1 +115712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.818250343,1 +115713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.77293488,1 +115714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.969776945,1 +115715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.821318934,1 +115717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.15611452,1 +115716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.324125564,1 +115718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.019614642,1 +115721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.71041031,1 +115719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.175814355,1 +115720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.079895951,1 +115722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.187434768,1 +115723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.866817822,1 +115724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.096960789,1 +115725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.838322619,1 +115726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.982820274,1 +115727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.821464898,1 +115729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.561596229,1 +115730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.064549528,1 +115728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.93774176,1 +115731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.692246152,1 +115732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.050736606,1 +115734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.752667497,1 +115733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.231351963,1 +115735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.318873147,1 +115736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.035691335,1 +115737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.177194365,1 +115738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.065187089,1 +115739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.315262533,1 +115740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.581225201,1 +115742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.442773101,1 +115741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.556338128,1 +115743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.57784807,1 +115744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.428664106,1 +115745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.126498358,1 +115747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.069863396,1 +115746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.185464021,1 +115748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.877198348,1 +115749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.711198791,1 +115750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.590972049,1 +115753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.176344437,1 +115752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.566679818,1 +115754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.664868731,1 +115755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.51294917,1 +115751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.317584227,1 +115756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.989456073,1 +115757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.334094159,1 +115758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.132840188,1 +115760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.51496935,1 +115761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.933467478,1 +115762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.155202207,1 +115759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.465865562,1 +115764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.788500288,1 +115763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.519727023,1 +115765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.400275142,1 +115766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.425933932,1 +115767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,7.29699447,1 +115768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.404577742,1 +115769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.47669232,1 +115770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.013215659,1 +115771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.981652905,1 +115772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.93710411,1 +115774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.0696363,1 +115775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.832823681,1 +115776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.182655748,1 +115777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.38834746,1 +115778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.995547097,1 +115773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.573173679,1 +115780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.980596225,1 +115779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.456270277,1 +115782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.68090417,1 +115783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.344201159,1 +115784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.544375386,1 +115781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.91895605,1 +115785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.754895652,1 +115786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.825053782,1 +115787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,7.05032384,1 +115788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.752291922,1 +115789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,1.977082434,1 +115790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.979650742,1 +115791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.821192034,1 +115792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.719589891,1 +115795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.275558013,1 +115794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.525932717,1 +115793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.126640529,1 +115796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.706595172,1 +115797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.934720356,1 +115798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.199671885,1 +115799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.449965282,1 +115800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.854070328,1 +115802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.476004941,1 +115801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.202904981,1 +115803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.444009563,1 +115804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.214764419,1 +115805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.599313243,1 +115806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.582185858,1 +115807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.148237855,1 +115809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.935539737,1 +115810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.504133483,1 +115808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.749684066,1 +115811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.114298525,1 +115812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.751347257,1 +115813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.259580478,1 +115815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.690725784,1 +115814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.87598684,1 +115816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,8.217630303,1 +115817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,7.31921191,1 +115818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.405287995,1 +115820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.224231649,1 +115819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.364512397,1 +115821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.63118879,1 +115822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.262385005,1 +115823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.372593632,1 +115825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.639796001,1 +115824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.706908971,1 +115826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,7.020434416,1 +115827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.491885107,1 +115828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.537624661,1 +115829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.228066092,1 +115830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,7.707036569,1 +115831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.890827979,1 +115832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.937339228,1 +115833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.485141467,1 +115834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.20121496,1 +115836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.849304868,1 +115835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.143579598,1 +115838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.932747594,1 +115837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.054958596,1 +115839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.031304159,1 +115840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.509120843,1 +115842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.649102949,1 +115843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.600782023,1 +115841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.151969117,1 +115844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.34623796,1 +115845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.359422825,1 +115846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.484910773,1 +115847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.48647479,1 +115848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.108055766,1 +115850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.016792859,1 +115851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,1.478207993,1 +115849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.890354828,1 +115852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.026407502,1 +115854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.589285379,1 +115853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.465594146,1 +115855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.381340426,1 +115856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.33836265,1 +115857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.323126008,1 +115858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.058051598,1 +115860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,1.299584515,1 +115859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.144195174,1 +115861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.566785084,1 +115862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.762499158,1 +115863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.60539185,1 +115865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.671311972,1 +115866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.210782649,1 +115867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.954412695,1 +115864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.13793141,1 +115868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.023473831,1 +115869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.575145787,1 +115871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.638833392,1 +115872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.961023051,1 +115870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.041934593,1 +115873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.477321719,1 +115874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.587189057,1 +115876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.651902514,1 +115875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.352683437,1 +115877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,8.056506256,1 +115879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.261672692,1 +115880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.96115778,1 +115881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.100948754,1 +115882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.494478556,1 +115883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.604828152,1 +115878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.434037241,1 +115884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.573485976,1 +115886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.797336112,1 +115887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.505576861,1 +115888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.337358024,1 +115885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.378239123,1 +115889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.673876734,1 +115891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.513586627,1 +115892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.610023157,1 +115890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.462018643,1 +115893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.284805976,1 +115894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.058175332,1 +115895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.184592567,1 +115897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.862509488,1 +115898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.269559954,1 +115899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.512329996,1 +115896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.338276122,1 +115900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,7.128520076,1 +115903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.635590671,1 +115901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.62626001,1 +115902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.266369981,1 +115904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.399437749,1 +115906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.622842263,1 +115907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.277676616,1 +115905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.966289424,1 +115908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.004827771,1 +115909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.383113984,1 +115910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.859885914,1 +115911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,8.396480143,1 +115912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.152107203,1 +115913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.272000388,1 +115914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.188435679,1 +115915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.48181823,1 +115916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.584887261,1 +115917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.920977821,1 +115918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.971489593,1 +115919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.962627118,1 +115920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.973550703,1 +115921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.606528753,1 +115922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.451107979,1 +115923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.760703912,1 +115924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.286640468,1 +115925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.864090468,1 +115926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.294926868,1 +115927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.178492415,1 +115928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.951021795,1 +115929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.130035522,1 +115930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.624664532,1 +115932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.874146213,1 +115933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.762509111,1 +115931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.479181257,1 +115934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.242871816,1 +115935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.865065626,1 +115936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.411951376,1 +115937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.63654863,1 +115938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.416208815,1 +115939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.027273474,1 +115940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.236871981,1 +115941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.225933994,1 +115942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.112383042,1 +115943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.187106872,1 +115944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.817712607,1 +115946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.621801314,1 +115947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.56249857,1 +115945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.368632409,1 +115948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.322377881,1 +115949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.91998901,1 +115950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.268665183,1 +115951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.793544018,1 +115952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.661077578,1 +115953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.503332126,1 +115954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.831816825,1 +115955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.109521432,1 +115956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.712604706,1 +115957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.108143717,1 +115958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.501570501,1 +115960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.809374146,1 +115961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.567933227,1 +115959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.449652209,1 +115962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.326418945,1 +115964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.097274808,1 +115963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.350027015,1 +115965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.078121065,1 +115966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.375204655,1 +115967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.211004059,1 +115970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.347862881,1 +115968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.734362521,1 +115969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.177754434,1 +115971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.685083294,1 +115972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,8.360150886,1 +115973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.908655806,1 +115975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.870861679,1 +115974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.487037352,1 +115976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.486402696,1 +115977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.395937454,1 +115978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.830135437,1 +115979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,7.012163067,1 +115980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.865316184,1 +115981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.20008841,1 +115982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.40196979,1 +115984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.209130332,1 +115985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,2.564278929,1 +115986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.345898316,1 +115987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.199077438,1 +115988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.338158855,1 +115983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.635988563,1 +115989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.367210111,1 +115990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.991373318,1 +115991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.668817844,1 +115993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.012706646,1 +115992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.052572659,1 +115997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.075960083,1 +115994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.773395902,1 +115995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,6.318224969,1 +115996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.672207403,1 +115999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,3.935639747,1 +115998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,5.247977453,1 +116000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,6,1,4.422582826,1 +125002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.230231524,1 +125003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.232453709,1 +125001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.909279283,1 +125004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.895130324,1 +125007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.531212334,1 +125005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.58403303,1 +125006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.167688733,1 +125008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.793622223,1 +125010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.597741101,1 +125011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.945918474,1 +125012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.697748514,1 +125013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.690136549,1 +125009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.154545303,1 +125014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.264941953,1 +125015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.802775052,1 +125016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.706541004,1 +125018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.980840979,1 +125019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.373130518,1 +125020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.093941046,1 +125017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.856733332,1 +125024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.244337502,1 +125021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.016365456,1 +125022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.008593252,1 +125023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.267307655,1 +125025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.566008233,1 +125026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.082266314,1 +125027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.664568725,1 +125028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.00008983,1 +125030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.792830133,1 +125031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.567278481,1 +125032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.320324357,1 +125033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.009555891,1 +125034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.701945331,1 +125035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.724693852,1 +125029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.703626418,1 +125039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.543837975,1 +125036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.657181216,1 +125038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.651847758,1 +125037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.77377573,1 +125040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.17991338,1 +125041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.202776984,1 +125042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.600525338,1 +125043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.680365268,1 +125044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.335652986,1 +125045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.638741358,1 +125046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.601650507,1 +125047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.95530898,1 +125049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.755645074,1 +125050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.599313189,1 +125051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.007798537,1 +125048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.37962332,1 +125052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.903522034,1 +125053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.428616217,1 +125054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.995770575,1 +125056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.401852423,1 +125055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.49441468,1 +125057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.41309335,1 +125058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.138866475,1 +125059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.464006277,1 +125061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.290419225,1 +125060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.786788877,1 +125062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.747741931,1 +125063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.374388522,1 +125064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.499302334,1 +125065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.708796692,1 +125066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.269361649,1 +125068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.761225511,1 +125067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,7.127373162,1 +125070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,0.946135579,1 +125071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.654927335,1 +125072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.1463271,1 +125074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.337450589,1 +125073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.616564326,1 +125075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.512569851,1 +125069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.001277785,1 +125076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.159109182,1 +125078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.36642207,1 +125079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.330772937,1 +125077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.087081509,1 +125082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.946453226,1 +125083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.556252758,1 +125080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.541258417,1 +125084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.035326303,1 +125081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.707007815,1 +125086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.445477787,1 +125088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.900809098,1 +125085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,7.223626218,1 +125089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.5274872,1 +125090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,1.886008518,1 +125087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.515554031,1 +125091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.497381582,1 +125092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.73972938,1 +125093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.857132111,1 +125095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.762772869,1 +125094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.06942634,1 +125098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.439263408,1 +125096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.304567308,1 +125097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,1.726087863,1 +125099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.897396601,1 +125101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.097158603,1 +125102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.275880744,1 +125103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.04922481,1 +125104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.465393608,1 +125105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.284566979,1 +125100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.617194698,1 +125107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.863528241,1 +125108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.486112114,1 +125109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.266081553,1 +125110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.360207584,1 +125106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.277574112,1 +125112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.804436652,1 +125111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.575011641,1 +125115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.796482213,1 +125114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.418800909,1 +125113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,8.096010597,1 +125116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.614574748,1 +125117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.707602296,1 +125119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.433978429,1 +125118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.082198861,1 +125120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.296627569,1 +125122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.479662341,1 +125124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.176614128,1 +125121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.387742857,1 +125125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.581487234,1 +125123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.782444568,1 +125127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.034207284,1 +125129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.567301022,1 +125126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.03687841,1 +125130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.663048203,1 +125128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.025353903,1 +125132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.677566352,1 +125133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.518536437,1 +125134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.505856263,1 +125131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.376573137,1 +125135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.627397153,1 +125137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.546048903,1 +125138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.894190038,1 +125140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.015877405,1 +125139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.806939383,1 +125136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.01430148,1 +125142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.942516228,1 +125144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,1.725608073,1 +125141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.992042111,1 +125143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.270523247,1 +125145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.998141409,1 +125146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.918917474,1 +125148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.969228872,1 +125147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.008377076,1 +125149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.006440198,1 +125150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.254615905,1 +125151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.620765345,1 +125152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.503178164,1 +125153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.137978857,1 +125155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.237499004,1 +125156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.509005644,1 +125154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.741706275,1 +125157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.980012592,1 +125158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.743421364,1 +125159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.815056482,1 +125160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.947880698,1 +125161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.035120834,1 +125162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.320884861,1 +125164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.590455378,1 +125163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.157093061,1 +125165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.246207411,1 +125166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.152318986,1 +125167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.984666334,1 +125169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.717614059,1 +125168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.219135634,1 +125170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.723134775,1 +125172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.468629678,1 +125173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.181198229,1 +125171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,7.043744211,1 +125174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.210122303,1 +125177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.360693723,1 +125175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.790563308,1 +125176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.627483217,1 +125178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.620932551,1 +125180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.808445901,1 +125179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.334137184,1 +125182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.493143621,1 +125183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.420106525,1 +125184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.541313645,1 +125181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.726265624,1 +125185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.803481904,1 +125187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.239483846,1 +125188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.118671444,1 +125186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.403923853,1 +125189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.49619671,1 +125190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.671056749,1 +125192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.590677754,1 +125193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.492717669,1 +125191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.563267321,1 +125194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.680645643,1 +125195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.737282584,1 +125196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.378631067,1 +125198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.998342243,1 +125199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.023863399,1 +125200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.845946943,1 +125201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.933858862,1 +125197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.043968605,1 +125202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.668552874,1 +125204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.856410014,1 +125205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.92712971,1 +125203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.046119479,1 +125206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.047532443,1 +125207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.301628175,1 +125209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.301487733,1 +125208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.555129339,1 +125210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.135615471,1 +125211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.431626278,1 +125212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.244237486,1 +125214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.678725897,1 +125215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.94091216,1 +125216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,7.192312962,1 +125217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.382152427,1 +125218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.038883391,1 +125213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.680387894,1 +125219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,1.65867939,1 +125220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.644661879,1 +125222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.628535566,1 +125221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.333600651,1 +125223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.491275313,1 +125224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.62163336,1 +125225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.315160547,1 +125226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.051345775,1 +125227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.406467022,1 +125228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.473242109,1 +125229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.81027712,1 +125230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.42223088,1 +125231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.693647105,1 +125232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.053626393,1 +125235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.738259704,1 +125233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.046604996,1 +125234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.670721856,1 +125236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.358366516,1 +125237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.661798879,1 +125238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.508745441,1 +125240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.202820385,1 +125239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.632005003,1 +125241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.73130642,1 +125243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.492579954,1 +125244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.068714362,1 +125242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.177965362,1 +125246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.939115371,1 +125245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.118646412,1 +125247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.801113127,1 +125251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.834717714,1 +125249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.750699576,1 +125248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.486349046,1 +125250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.506591351,1 +125252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.639567169,1 +125253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.40034338,1 +125254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.601635667,1 +125255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.466887415,1 +125256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.36874298,1 +125257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.246723127,1 +125258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.745041898,1 +125259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.977398719,1 +125260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.977469523,1 +125261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.425334467,1 +125263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.459871405,1 +125264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.626226339,1 +125262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.232979163,1 +125265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.472600442,1 +125266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.576484133,1 +125267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.215480225,1 +125268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.056439005,1 +125269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.285345767,1 +125270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.502014851,1 +125271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.716627793,1 +125272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.79191716,1 +125273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.73442923,1 +125275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.227198205,1 +125274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.049096052,1 +125277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.820935523,1 +125278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.456862057,1 +125276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.261206852,1 +125279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.700401821,1 +125280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.923513667,1 +125283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.938597421,1 +125281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.370682077,1 +125282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.746234778,1 +125284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.928043248,1 +125285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.770311238,1 +125286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.456745426,1 +125288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.865908652,1 +125289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.820450107,1 +125290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,1.951585698,1 +125291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.115929903,1 +125292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.984892024,1 +125293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.63096819,1 +125287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.169542274,1 +125297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.142624944,1 +125295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.386425648,1 +125294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.344442283,1 +125296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.942199814,1 +125298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.951268918,1 +125300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.261812849,1 +125299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.37673757,1 +125301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.737970192,1 +125303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.091638943,1 +125304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.505668464,1 +125305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.592849267,1 +125306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.896330679,1 +125307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.372610547,1 +125308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.580771481,1 +125302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.392725303,1 +125310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.124537785,1 +125309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.319523104,1 +125312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.744681352,1 +125311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.887300102,1 +125313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.416803628,1 +125314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.612570404,1 +125315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.469621268,1 +125316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.165821593,1 +125317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.464159904,1 +125318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.435759508,1 +125320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.920886573,1 +125319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.055573641,1 +125322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.232181236,1 +125321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.455254649,1 +125323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.721645363,1 +125325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.808464169,1 +125326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.122465198,1 +125324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.996136122,1 +125327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,7.149888488,1 +125328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.621750925,1 +125329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.37867335,1 +125331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.129751146,1 +125330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.651578512,1 +125332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.479614244,1 +125333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.209681627,1 +125334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.96892912,1 +125336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.310508724,1 +125337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.027759406,1 +125335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.225788421,1 +125338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.999435878,1 +125340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.701408789,1 +125339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.463388269,1 +125342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.160896054,1 +125341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.974499264,1 +125343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.440797301,1 +125344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.152496326,1 +125345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.62417433,1 +125346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.367958826,1 +125347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.470233167,1 +125348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.787592918,1 +125351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.94512385,1 +125349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.696526123,1 +125352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.285253326,1 +125350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.688555959,1 +125354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.474511613,1 +125356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.175617808,1 +125355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.523382576,1 +125353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,1.703290268,1 +125357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.295582405,1 +125359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.428299836,1 +125358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.26865356,1 +125360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.623853993,1 +125361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.405464963,1 +125362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.420171271,1 +125364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.833197864,1 +125365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.147026844,1 +125366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.638850269,1 +125367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.854589675,1 +125363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.066780732,1 +125368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.697718588,1 +125369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.663834118,1 +125370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.900932235,1 +125371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.670387114,1 +125372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.718247797,1 +125373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.920810868,1 +125374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.902601814,1 +125375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.86076272,1 +125376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.459422376,1 +125377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.229998881,1 +125378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.643775728,1 +125380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.6423795,1 +125381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.551886038,1 +125382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.407961005,1 +125379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.876405123,1 +125383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.196361803,1 +125384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.065241,1 +125385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.801850248,1 +125387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.032675924,1 +125386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.562759455,1 +125389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.934815349,1 +125388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.412119463,1 +125390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.656822637,1 +125391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.468054409,1 +125392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.513066207,1 +125393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.470699474,1 +125395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.417878146,1 +125394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.584640589,1 +125397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.331934841,1 +125396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.919063949,1 +125398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.51452808,1 +125400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.910497251,1 +125402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.992900574,1 +125401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.459718445,1 +125399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.918612509,1 +125403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.501686584,1 +125405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.141899901,1 +125404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.834464846,1 +125407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.733044994,1 +125408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.867285748,1 +125406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.828399103,1 +125409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.794731418,1 +125411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.406502356,1 +125410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.399049854,1 +125413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.136756994,1 +125412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.204288252,1 +125414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.323560089,1 +125416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.663053109,1 +125415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.285529706,1 +125417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.260408274,1 +125418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.737395181,1 +125420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.517108263,1 +125419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.598691176,1 +125421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.285869503,1 +125423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.726663794,1 +125424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.622153514,1 +125422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.801636705,1 +125428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.371955414,1 +125426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.63475484,1 +125427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.571801225,1 +125425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.225323419,1 +125429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.906534986,1 +125431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.8251254,1 +125432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.616312931,1 +125430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.209331757,1 +125433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.692000705,1 +125436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.756323245,1 +125434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.308738731,1 +125437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,7.207190207,1 +125438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.406446488,1 +125439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.437404358,1 +125435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.884154239,1 +125440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.665217959,1 +125441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.20799312,1 +125442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.787906915,1 +125444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.979483145,1 +125443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.45295195,1 +125446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.775363302,1 +125445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.203157835,1 +125448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.369608524,1 +125447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.188654871,1 +125449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.21586261,1 +125450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.852092946,1 +125451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.744094283,1 +125452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.535902499,1 +125453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.238806699,1 +125454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.003358522,1 +125456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.34677623,1 +125457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.203785443,1 +125458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.811240109,1 +125459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.505312896,1 +125460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.912134928,1 +125461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.562968331,1 +125455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.804800933,1 +125462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.5248571,1 +125463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.936591688,1 +125464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.417198538,1 +125465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.342924499,1 +125466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.304101535,1 +125467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.261118037,1 +125468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.941363252,1 +125469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.357890234,1 +125470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.335984981,1 +125472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.018992079,1 +125471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.315390044,1 +125474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.922713406,1 +125475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.964538334,1 +125476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.124154659,1 +125473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.323829418,1 +125478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.656381543,1 +125480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.455421612,1 +125477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.729377317,1 +125479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,7.313401484,1 +125481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.833402218,1 +125483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.484236068,1 +125482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.624668792,1 +125484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.895084952,1 +125485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.278480979,1 +125486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,7.146787719,1 +125487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.887016453,1 +125488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.242411534,1 +125489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.175232173,1 +125490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.269651573,1 +125492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.328138821,1 +125493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.489444731,1 +125491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.996980441,1 +125494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.879949345,1 +125495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.053356264,1 +125496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.32088567,1 +125497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.285391058,1 +125498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.583450285,1 +125499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.111816647,1 +125500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.471824836,1 +125501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.395975306,1 +125502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.003095261,1 +125503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.105928543,1 +125504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.470340928,1 +125505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.098481327,1 +125507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.544617815,1 +125506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.315954335,1 +125508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.198043822,1 +125511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.638759096,1 +125510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.878113182,1 +125509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.826089346,1 +125512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.54358451,1 +125513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.740858566,1 +125514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.384638982,1 +125515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.992786168,1 +125516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.627127428,1 +125517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.572662718,1 +125518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.847777827,1 +125519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.63024418,1 +125520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.827998157,1 +125521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.321177267,1 +125522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.691112354,1 +125523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.973304498,1 +125525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.105441399,1 +125526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.221698227,1 +125524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.345079473,1 +125527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.154256484,1 +125528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.714956693,1 +125529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.069783963,1 +125530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.797295435,1 +125532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.426577342,1 +125533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.500442423,1 +125531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.460813789,1 +125534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.073407586,1 +125535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.276425243,1 +125536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.026273666,1 +125537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.394495196,1 +125538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.685791347,1 +125539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.615845654,1 +125541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.250110046,1 +125540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.073423405,1 +125542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.223763141,1 +125544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.766159879,1 +125543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.214956089,1 +125546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.293289622,1 +125547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.21246194,1 +125548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.316787531,1 +125549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.24967013,1 +125545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.829237753,1 +125550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.718472624,1 +125551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.721766333,1 +125552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.38950423,1 +125554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.409238626,1 +125553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.755963664,1 +125555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.063473592,1 +125558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.250391344,1 +125556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.557627385,1 +125557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.442865693,1 +125559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.529652366,1 +125561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.18029479,1 +125562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.77227276,1 +125563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.920675664,1 +125564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.862662502,1 +125565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.408337744,1 +125560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.480173844,1 +125566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.094811763,1 +125567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.662434735,1 +125568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.218332431,1 +125569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.948902646,1 +125570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.646521479,1 +125571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.085491559,1 +125573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.80707791,1 +125572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.597011856,1 +125574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.871487283,1 +125575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.993233854,1 +125576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.074642378,1 +125577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.116069124,1 +125578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,7.032168521,1 +125579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.890391662,1 +125581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.769504236,1 +125582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.090172649,1 +125583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.838449518,1 +125584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.43340769,1 +125580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.092280081,1 +125585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.486907699,1 +125588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.311807282,1 +125586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.984346892,1 +125587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.977097521,1 +125589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.771409087,1 +125590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.333091607,1 +125591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.582630135,1 +125592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.252297732,1 +125593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.713951402,1 +125597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.431761423,1 +125595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.706012805,1 +125596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.256585851,1 +125600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.219566511,1 +125599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.899746307,1 +125598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.998297604,1 +125594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.143984316,1 +125604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.997488347,1 +125601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.177788192,1 +125602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.002155059,1 +125603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.789563751,1 +125606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.138129767,1 +125607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.914531565,1 +125605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.648022709,1 +125608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.313326363,1 +125609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.822017788,1 +125611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.013156159,1 +125610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.831408462,1 +125612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.208591568,1 +125613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.809046479,1 +125616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.419782123,1 +125615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.071118316,1 +125617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.155892471,1 +125614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.519235067,1 +125618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.031487589,1 +125620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.351552376,1 +125619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.563331042,1 +125622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.630795945,1 +125621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.148520951,1 +125624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.074400758,1 +125623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.598382698,1 +125625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.790697162,1 +125627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.856249839,1 +125628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.662147006,1 +125626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.509656198,1 +125629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.847406682,1 +125630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.699741708,1 +125631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.367431665,1 +125632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.932853925,1 +125633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.761362462,1 +125634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.241188446,1 +125635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.346279045,1 +125636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.93444603,1 +125638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.118733432,1 +125637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.571168622,1 +125639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.139084632,1 +125640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.230835147,1 +125641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.487302293,1 +125642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.364500375,1 +125643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,1.51289831,1 +125644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.503490965,1 +125645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.796263521,1 +125647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,7.952877041,1 +125646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.81686858,1 +125649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.0659499,1 +125650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,7.15627952,1 +125651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.377235205,1 +125653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.274938812,1 +125652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,7.59301758,1 +125648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.603398088,1 +125654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.149659277,1 +125656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.680671094,1 +125655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.600057812,1 +125658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.633731869,1 +125657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.22218523,1 +125659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.442722528,1 +125660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.184046124,1 +125661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.453310949,1 +125662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.595163419,1 +125663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.210288842,1 +125665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.864139491,1 +125664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.869898604,1 +125667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.696605511,1 +125668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.970616231,1 +125669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.988134762,1 +125666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.72063934,1 +125670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.695117286,1 +125672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.464118206,1 +125671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.246720214,1 +125674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.808337075,1 +125676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,7.128021213,1 +125675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.452870548,1 +125673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.9249872,1 +125678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.518394519,1 +125677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.426995406,1 +125680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.783475154,1 +125679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.893182439,1 +125682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.511603143,1 +125681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.728302578,1 +125684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.013175853,1 +125683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.781651129,1 +125685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.58975187,1 +125686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.663930589,1 +125687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.914815104,1 +125690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.448193669,1 +125689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.517513883,1 +125691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.553912531,1 +125688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.721148399,1 +125692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.035412394,1 +125693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.60071365,1 +125694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.384711894,1 +125695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.446993831,1 +125696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.514792186,1 +125697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.916167931,1 +125698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.220013743,1 +125699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,7.186819598,1 +125700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.762167157,1 +125701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.905130849,1 +125702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.522796437,1 +125704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.731533435,1 +125703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.947002268,1 +125705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.422315822,1 +125706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.393792341,1 +125707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.769157588,1 +125709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.694378069,1 +125710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.586223164,1 +125708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.299677469,1 +125711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.569399853,1 +125712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.605558042,1 +125713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.611477353,1 +125714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.970091073,1 +125715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.088043789,1 +125716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.219159005,1 +125717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.683483143,1 +125719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.973885328,1 +125718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.994022843,1 +125720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.739547598,1 +125721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.233592585,1 +125723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.84894239,1 +125725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.436874689,1 +125724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.420905446,1 +125722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.082543803,1 +125727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.699741829,1 +125726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.689338108,1 +125729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.289221251,1 +125728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.170188566,1 +125730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.123167236,1 +125732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.0361903,1 +125733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.926707951,1 +125731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.393922594,1 +125734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.678055878,1 +125735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.836489313,1 +125736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.399942416,1 +125737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.572422785,1 +125739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.468841847,1 +125738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.121155312,1 +125740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.860086661,1 +125742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.428695528,1 +125743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.450120022,1 +125744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.662871825,1 +125745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.529550638,1 +125741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.643023312,1 +125746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.43894965,1 +125747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.458626912,1 +125748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.806892129,1 +125750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.979704164,1 +125751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.949774524,1 +125749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.79356943,1 +125752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.403354595,1 +125753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.768130985,1 +125754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,7.399258477,1 +125755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.860192994,1 +125756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.709798048,1 +125758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.010587972,1 +125757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.379514877,1 +125759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.068606164,1 +125760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.568574269,1 +125761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.01218454,1 +125762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.358722667,1 +125764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.024185788,1 +125765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.611611298,1 +125766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.646966143,1 +125767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.974226446,1 +125769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.830864482,1 +125763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.912765283,1 +125768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.905497323,1 +125771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.755628698,1 +125772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.657875784,1 +125770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.119759268,1 +125773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.939708205,1 +125774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.72634671,1 +125775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.169910875,1 +125776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.569458357,1 +125777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.034226803,1 +125779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.66877915,1 +125780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.120676558,1 +125778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.114474275,1 +125781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.487365959,1 +125782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.088887337,1 +125783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.807763552,1 +125784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.3873358,1 +125786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.96433234,1 +125787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.03733857,1 +125785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.231335639,1 +125789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.332251662,1 +125788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.202104377,1 +125790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.89924894,1 +125791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.882281889,1 +125792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.583442783,1 +125793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.442297774,1 +125794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.700336474,1 +125796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.321802326,1 +125795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.267083648,1 +125797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.891910529,1 +125798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.445276869,1 +125800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.015784821,1 +125799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.416953232,1 +125801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.564773264,1 +125802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.689283715,1 +125804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.106007982,1 +125803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.286208891,1 +125805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.883749969,1 +125806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.829819004,1 +125807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.913043848,1 +125809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.882065261,1 +125808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.336262947,1 +125810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.658854322,1 +125811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.708235669,1 +125812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.943866686,1 +125814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.019602057,1 +125813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.07341152,1 +125815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.264905391,1 +125816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.765803044,1 +125817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.196561489,1 +125818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,1.754460968,1 +125821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.494536493,1 +125820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.916972403,1 +125819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.802655389,1 +125825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.986379172,1 +125823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.888146551,1 +125824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.439686267,1 +125827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.182101891,1 +125826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.519964614,1 +125828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.319306747,1 +125822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.534029006,1 +125830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.383381723,1 +125832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.42910822,1 +125829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.957369983,1 +125831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.815227289,1 +125833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.656510472,1 +125834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.551983669,1 +125835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.216478408,1 +125836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.387618029,1 +125837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.642863149,1 +125839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.039072666,1 +125840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.149260279,1 +125841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.059452231,1 +125842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.616983942,1 +125843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.390756764,1 +125844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.730364961,1 +125838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.337455179,1 +125845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.385063273,1 +125846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.026054117,1 +125848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.203301719,1 +125847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.855972011,1 +125849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.788638625,1 +125850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.244727958,1 +125851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.307451197,1 +125852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.075630649,1 +125853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.69235856,1 +125856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.801138737,1 +125854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.01944732,1 +125857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.511384537,1 +125858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.484530695,1 +125859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.179384932,1 +125860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.95385827,1 +125855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.975756428,1 +125861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.385106261,1 +125863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.426011372,1 +125862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.698518076,1 +125864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.202751642,1 +125865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.034202658,1 +125866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.886671002,1 +125867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.239576831,1 +125868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.437649958,1 +125869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.931280762,1 +125870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,1.882760156,1 +125871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.298021425,1 +125872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.962095445,1 +125873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.713555573,1 +125874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.798913902,1 +125875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.180043497,1 +125877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.400471601,1 +125876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.01204174,1 +125879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.03527436,1 +125878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.044374085,1 +125880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.261755292,1 +125881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.732112615,1 +125883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.485482756,1 +125882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.205488213,1 +125884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.517718939,1 +125886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.370568769,1 +125885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.239737031,1 +125887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.011793855,1 +125888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.20261276,1 +125889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.197710142,1 +125890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.996370377,1 +125891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.863121271,1 +125892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.123078031,1 +125893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.435114359,1 +125895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.180628298,1 +125894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.916446345,1 +125896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.157940565,1 +125898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.723445469,1 +125897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.147620856,1 +125899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.671087732,1 +125900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.225116161,1 +125902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.020287515,1 +125901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.399930871,1 +125904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.49305235,1 +125903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.980104613,1 +125906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,7.218389996,1 +125905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.469247089,1 +125908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.303420435,1 +125907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.325704247,1 +125910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.896533321,1 +125909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.50031551,1 +125912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.239860798,1 +125913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.965616201,1 +125914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.137064234,1 +125915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.408287524,1 +125917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.484823908,1 +125916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.567397854,1 +125911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.135904801,1 +125918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.498463435,1 +125920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.282884428,1 +125919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.737336775,1 +125922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.654884887,1 +125921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.870499857,1 +125924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.939608064,1 +125923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.426613531,1 +125925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.471537408,1 +125926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.215346633,1 +125927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.962675465,1 +125928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.618841997,1 +125929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.828457957,1 +125930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.846986677,1 +125931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.566127253,1 +125932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.25924907,1 +125933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.037902026,1 +125935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.554692562,1 +125937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.005800121,1 +125936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.997444928,1 +125939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.919252368,1 +125940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,7.159194661,1 +125934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.037674769,1 +125938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.421611126,1 +125941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.581068268,1 +125943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.942498253,1 +125942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.233994075,1 +125944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.426327067,1 +125945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.902537352,1 +125946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.763015779,1 +125947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.338810199,1 +125949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.665274232,1 +125948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.419371306,1 +125950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.990266202,1 +125951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.417591391,1 +125953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.674602491,1 +125952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.466309719,1 +125955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.230483882,1 +125956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.855233977,1 +125957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.142506363,1 +125954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.452362008,1 +125958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.520153908,1 +125960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.521271884,1 +125959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.846674892,1 +125961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.615416696,1 +125962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.207652535,1 +125964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.015778409,1 +125963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.0812818,1 +125966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.326594839,1 +125965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.357601816,1 +125967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,1.967707706,1 +125969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.445349856,1 +125968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.765038521,1 +125970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.417910142,1 +125971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.60471476,1 +125972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.000973417,1 +125973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.60928802,1 +125975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.361668793,1 +125976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.441397098,1 +125977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.009217771,1 +125978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.473820424,1 +125979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.908808362,1 +125980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.86726561,1 +125974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.322335696,1 +125981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.032113193,1 +125982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.851047428,1 +125983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.643136779,1 +125984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.414506329,1 +125985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.303227386,1 +125986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.679164031,1 +125987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.773614831,1 +125988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.358692558,1 +125990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.740830726,1 +125989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.959057255,1 +125991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.318436411,1 +125993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.864908868,1 +125994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.289209103,1 +125995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.553044347,1 +125992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.262595463,1 +125997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,3.56968691,1 +125998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,4.545273835,1 +125996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,2.883554984,1 +125999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,5.785220786,1 +126000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,6,1,6.545879238,1 +135001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,1.436524698,1 +135003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.029784428,1 +135002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.849894537,1 +135005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.677493788,1 +135007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.311227982,1 +135006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.698275318,1 +135004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.77614873,1 +135010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,1.940506722,1 +135009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.086121928,1 +135011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.98911036,1 +135008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.675065679,1 +135012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.298168616,1 +135013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.119138314,1 +135014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.288876645,1 +135015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.936678352,1 +135018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.202918917,1 +135016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.014205313,1 +135017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.69389033,1 +135019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.456237614,1 +135021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.372789675,1 +135022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.366459294,1 +135023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.611638021,1 +135024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.90589955,1 +135020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.127841604,1 +135025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.820435993,1 +135026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.735697491,1 +135027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.031126112,1 +135029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.4725072,1 +135028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.32923582,1 +135032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.270878712,1 +135030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.809912839,1 +135033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.332919208,1 +135031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.502651704,1 +135034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.711707269,1 +135036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.562774795,1 +135037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.60392606,1 +135035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.267916032,1 +135038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.446023996,1 +135039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.464633732,1 +135040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.444890994,1 +135041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.505417562,1 +135042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.758940327,1 +135043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.775405026,1 +135044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.561538155,1 +135045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.273583178,1 +135047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.772515483,1 +135046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.305301604,1 +135049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.242987388,1 +135048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.927332439,1 +135050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.342503408,1 +135051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.539795391,1 +135052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.244297181,1 +135055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.312474807,1 +135054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.354805896,1 +135053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.252734497,1 +135056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.363152129,1 +135057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.760414363,1 +135058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.548628758,1 +135059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.386620432,1 +135061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.279905188,1 +135063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.758197649,1 +135062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.822778616,1 +135060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.549625399,1 +135064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.505446223,1 +135065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.580621083,1 +135067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.001630023,1 +135066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.364542158,1 +135068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.73954968,1 +135069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.629779077,1 +135070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.030341879,1 +135073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.433536358,1 +135072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.913804031,1 +135071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.140569543,1 +135074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.63404891,1 +135075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.104800274,1 +135076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.072335027,1 +135077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.572287102,1 +135078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.853047924,1 +135079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.565660249,1 +135080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.869640612,1 +135081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.55236307,1 +135082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.813504738,1 +135083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.963379608,1 +135084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.26995088,1 +135086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.226129897,1 +135087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.7678359,1 +135085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.111352765,1 +135088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.844097183,1 +135089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.218316956,1 +135090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.374968858,1 +135092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.243131442,1 +135091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.202062246,1 +135093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.613342295,1 +135095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,7.063399342,1 +135094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.387343841,1 +135096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,1.087896488,1 +135097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.655401837,1 +135099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.147667477,1 +135098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.279676307,1 +135100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.039079692,1 +135101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.054192845,1 +135102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.423174269,1 +135104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.206189673,1 +135105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.156892031,1 +135107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.559769369,1 +135106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.068173724,1 +135103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.950879471,1 +135108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.992054999,1 +135110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.896849837,1 +135111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.103765804,1 +135109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.890361437,1 +135112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.372494331,1 +135113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.664557395,1 +135114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.804985488,1 +135115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.120065731,1 +135116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.283320923,1 +135117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.855993571,1 +135119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.994185462,1 +135120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.113550889,1 +135121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.919124406,1 +135118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.586067985,1 +135122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.28379286,1 +135123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.551211103,1 +135126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.409983952,1 +135125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.867387223,1 +135124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.651328298,1 +135127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.523257388,1 +135130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.277803375,1 +135129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.252745116,1 +135128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.084028515,1 +135131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.077439504,1 +135132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.977376029,1 +135134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.949549751,1 +135135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.218245356,1 +135133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.530944993,1 +135136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.709484705,1 +135137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.572438567,1 +135138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.895960025,1 +135139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.660360456,1 +135140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.000076368,1 +135142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.901503509,1 +135141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.048132954,1 +135143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.463350063,1 +135144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.751000206,1 +135145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.246710561,1 +135146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.06569711,1 +135148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.107959476,1 +135149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.916064207,1 +135150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.765894485,1 +135147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.210980988,1 +135151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.726622102,1 +135152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.056864761,1 +135153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.079267097,1 +135154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.912878522,1 +135156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.170380195,1 +135155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.08365216,1 +135157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.957292893,1 +135158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.272636827,1 +135159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.514039889,1 +135161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.258653682,1 +135160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.597203422,1 +135163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.039016948,1 +135164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.522621415,1 +135162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.041964182,1 +135165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.186024759,1 +135166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.522668179,1 +135167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.161462239,1 +135169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.625485149,1 +135168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.108620376,1 +135170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.330779826,1 +135171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.951682718,1 +135173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.674176218,1 +135172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.044667553,1 +135174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.605379644,1 +135175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.004292516,1 +135176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.012082244,1 +135178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.186399833,1 +135179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.096913803,1 +135177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.876889437,1 +135180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.239455531,1 +135181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.158613065,1 +135182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.222827057,1 +135184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.742768528,1 +135183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.602516295,1 +135185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.369286526,1 +135188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.76492451,1 +135186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.770427815,1 +135187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.663580933,1 +135189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.28272289,1 +135190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.078293437,1 +135191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.452382579,1 +135193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.890997247,1 +135192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.865381511,1 +135195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.675249443,1 +135196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.820442304,1 +135197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.84371182,1 +135198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.418929434,1 +135194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.103095957,1 +135199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.586631388,1 +135202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.976328264,1 +135201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.265597172,1 +135203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.790302297,1 +135200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.339862312,1 +135204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.250719311,1 +135205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.800639284,1 +135206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.123758053,1 +135207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.691850954,1 +135208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.073788864,1 +135209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.911548238,1 +135210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.259670667,1 +135211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.343744901,1 +135213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.734635062,1 +135214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.588962508,1 +135215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.140466904,1 +135212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.54911863,1 +135216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.163333057,1 +135219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,1.635857368,1 +135217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.554815906,1 +135220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.07839355,1 +135221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.919410549,1 +135218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.74334251,1 +135222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.864820514,1 +135223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.401800885,1 +135224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.23263415,1 +135226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.524381432,1 +135227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.258164361,1 +135225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.631106525,1 +135229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.740760364,1 +135228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.488299695,1 +135230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.83723189,1 +135231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.065935238,1 +135233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.863899802,1 +135232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.146102205,1 +135235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,1.846614509,1 +135234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.917607684,1 +135236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.038231623,1 +135237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.758189541,1 +135239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.937170833,1 +135240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.954721767,1 +135241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.325632691,1 +135242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,7.831745938,1 +135238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.904013936,1 +135243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.092976675,1 +135244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.374450833,1 +135245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.710625264,1 +135246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.808316759,1 +135248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.147805724,1 +135247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.225531114,1 +135250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.455539083,1 +135249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.215414798,1 +135251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.973436964,1 +135252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.234447076,1 +135253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.871416508,1 +135254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.373152942,1 +135255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.153028297,1 +135256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,8.413031753,1 +135258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.975893406,1 +135259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.417728581,1 +135260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.225799752,1 +135261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.381877801,1 +135262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.298690711,1 +135257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.659438722,1 +135263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.222486246,1 +135264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.482468464,1 +135266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.189631388,1 +135265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.171886936,1 +135267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.110691872,1 +135268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.913281636,1 +135270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.114367651,1 +135269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.962874535,1 +135271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.786268432,1 +135272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.78559349,1 +135273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.822426008,1 +135274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.269906178,1 +135275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.873627154,1 +135276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.607304571,1 +135277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.328713247,1 +135279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.931999987,1 +135278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.543946534,1 +135280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.033508666,1 +135281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.468629272,1 +135282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.565846867,1 +135284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.850434418,1 +135283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.078259934,1 +135285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.608442065,1 +135287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.947430993,1 +135286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.23190937,1 +135289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.544884241,1 +135288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.597199763,1 +135290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.219515856,1 +135291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.161079321,1 +135292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.287772535,1 +135293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.327494231,1 +135295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.989402023,1 +135294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.587704825,1 +135296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.799512048,1 +135297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.154869894,1 +135298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.773507424,1 +135299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.897543049,1 +135300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.154506823,1 +135301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.13861572,1 +135302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.227497512,1 +135303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.524223611,1 +135304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.928007415,1 +135306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.068195361,1 +135307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.748116451,1 +135305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.731609184,1 +135308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.387729469,1 +135310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.401778672,1 +135309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.626983991,1 +135312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.329894629,1 +135313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.015290692,1 +135314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.399279786,1 +135311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.137613701,1 +135315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.76419868,1 +135316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.804379201,1 +135317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.264094543,1 +135319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.432334659,1 +135320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.858781753,1 +135321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.757912187,1 +135322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.732547836,1 +135318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.909981016,1 +135324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.518329238,1 +135323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.897839487,1 +135326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.120245334,1 +135325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.114048659,1 +135327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.121751119,1 +135329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,7.13278957,1 +135328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.78532896,1 +135330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.200294005,1 +135331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.912503982,1 +135333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.854822916,1 +135334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.658528662,1 +135335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.654341071,1 +135336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.059823342,1 +135337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.419934849,1 +135338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.737778225,1 +135332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.79846933,1 +135339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.769845693,1 +135340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.053760598,1 +135342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.147388961,1 +135341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.381364889,1 +135343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.127071963,1 +135344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.218997557,1 +135345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.908850487,1 +135346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.455566137,1 +135347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.407239364,1 +135348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.313678596,1 +135350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.599510936,1 +135351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.963947279,1 +135352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.136716893,1 +135353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.177805145,1 +135349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,1.873982786,1 +135354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.924300692,1 +135356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.322949578,1 +135355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.747454421,1 +135357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.600189776,1 +135358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.406932224,1 +135359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,1.715040746,1 +135361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.704415523,1 +135360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.667816868,1 +135362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.446394713,1 +135363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.585284753,1 +135365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.51896843,1 +135364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.55342143,1 +135366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.407027562,1 +135367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.448759663,1 +135368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.590758401,1 +135371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.266449024,1 +135370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.957852275,1 +135369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.885044422,1 +135372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.320680983,1 +135373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.491056375,1 +135374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.606572539,1 +135375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.181745687,1 +135376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.677386825,1 +135377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.985835685,1 +135378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.226177434,1 +135379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.694521519,1 +135380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.624920641,1 +135381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.481909664,1 +135382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.806385152,1 +135383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.743899181,1 +135384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.719910018,1 +135385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.280221614,1 +135387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.597291286,1 +135388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.543135919,1 +135386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.999254988,1 +135389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.487209216,1 +135390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.257985424,1 +135391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.446633655,1 +135392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.804168739,1 +135393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.812518653,1 +135395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.855665122,1 +135394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.693566041,1 +135396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.468694412,1 +135397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.468876976,1 +135398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.602937201,1 +135399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.03991734,1 +135401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.55261522,1 +135402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.718363561,1 +135400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.863401739,1 +135404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.595627817,1 +135405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.908234087,1 +135406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.277552758,1 +135403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.847785709,1 +135407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.864661783,1 +135408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.866154559,1 +135409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.050039037,1 +135411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.127522179,1 +135410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.838275781,1 +135412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.361936196,1 +135413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.819326129,1 +135414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.929654421,1 +135415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.858284891,1 +135416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.861400044,1 +135418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.17496604,1 +135417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.946969112,1 +135419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.747657275,1 +135420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.501668407,1 +135421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.139722724,1 +135422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.150626092,1 +135423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.54292499,1 +135424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.937508495,1 +135425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.398598919,1 +135426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.748131294,1 +135428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.303560614,1 +135429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.476003021,1 +135430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,8.358993025,1 +135427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.020613785,1 +135431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.433359781,1 +135432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.130395026,1 +135434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.698657411,1 +135433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.961640618,1 +135435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.446949059,1 +135436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.867578644,1 +135437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.1473206,1 +135438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.668631506,1 +135441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.5849483,1 +135439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.926081701,1 +135440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.075875783,1 +135442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.847011323,1 +135444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.006268825,1 +135445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.882846737,1 +135446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.703919349,1 +135443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.88174141,1 +135447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.119746346,1 +135448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.385742187,1 +135450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.473055712,1 +135449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.283460944,1 +135451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.002670496,1 +135452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.191447365,1 +135453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.783254343,1 +135454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.103566225,1 +135455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.124951866,1 +135456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.331638829,1 +135457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.438940384,1 +135459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.747888963,1 +135458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.328854698,1 +135460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.893813885,1 +135462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.131549996,1 +135464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.552999582,1 +135461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.812302583,1 +135463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.05448556,1 +135465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.413451786,1 +135466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.801592723,1 +135467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.21097773,1 +135469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.923530565,1 +135470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.899164114,1 +135471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.82294156,1 +135468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.397407246,1 +135472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.94940588,1 +135473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.55790869,1 +135474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.455233849,1 +135476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.069818304,1 +135475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.054632106,1 +135477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.370468004,1 +135479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.559115276,1 +135478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.738386613,1 +135480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.017385563,1 +135481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.300813826,1 +135482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.858597624,1 +135483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.241719091,1 +135485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.449734875,1 +135486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.173360608,1 +135487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.031029978,1 +135484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.546107723,1 +135488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.197898655,1 +135490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.509405536,1 +135489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.097461205,1 +135492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.146479994,1 +135491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.364725366,1 +135493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.717257526,1 +135494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,1.934546024,1 +135497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.444792215,1 +135495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.006922015,1 +135496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.632936961,1 +135498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.768339773,1 +135499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.244490199,1 +135500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.49547994,1 +135501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.618967738,1 +135502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.235558468,1 +135503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.151994898,1 +135504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.703464849,1 +135506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.938226204,1 +135507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.052103106,1 +135508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.334676563,1 +135505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.045840412,1 +135509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,1.955058968,1 +135510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.945986147,1 +135511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.35571695,1 +135512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.864670269,1 +135513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.658262492,1 +135514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.235786382,1 +135515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.747703534,1 +135517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.688110716,1 +135516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.096400638,1 +135518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.246798321,1 +135519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.664466292,1 +135520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.677330437,1 +135521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.721597493,1 +135523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.512838907,1 +135522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.189340431,1 +135526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.697891668,1 +135527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.387094507,1 +135525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.606940072,1 +135524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.58259767,1 +135528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.228267891,1 +135529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.785895159,1 +135530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.401291801,1 +135531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.500706102,1 +135532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.402473834,1 +135533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.436261892,1 +135534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.241678574,1 +135535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.36626115,1 +135536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.62158097,1 +135539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.403607654,1 +135538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.113417373,1 +135537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.517125249,1 +135540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.699282233,1 +135541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.714243486,1 +135542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.639218493,1 +135543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.407229101,1 +135544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.97126902,1 +135545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.972136888,1 +135547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.023040266,1 +135546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.676881282,1 +135548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,1.757778149,1 +135549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.233417815,1 +135550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.169044402,1 +135551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.63193974,1 +135552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.943681455,1 +135553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.756992468,1 +135554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.18436176,1 +135556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.200466904,1 +135555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.552619238,1 +135557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.313115981,1 +135558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.782261202,1 +135559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.971068479,1 +135561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.390341176,1 +135562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.341976865,1 +135560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.897841025,1 +135563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.35023017,1 +135564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.592889268,1 +135565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.048723287,1 +135567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.95441605,1 +135568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.135212183,1 +135566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.082509434,1 +135569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.854592523,1 +135570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.437864778,1 +135572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.282692225,1 +135573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.772100657,1 +135571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.470432519,1 +135574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.813113659,1 +135576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.888596166,1 +135577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.635613482,1 +135578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.624895912,1 +135579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.843238108,1 +135581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.844223767,1 +135580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.695422134,1 +135575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.633070156,1 +135582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.303003801,1 +135584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.374180287,1 +135585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.964278525,1 +135583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.976544709,1 +135586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.979262168,1 +135587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.124195052,1 +135588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.552579574,1 +135589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.338544857,1 +135590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,7.486298313,1 +135591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.75806436,1 +135593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.663597912,1 +135594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.675619893,1 +135595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.036955312,1 +135592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.702959432,1 +135596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.411327491,1 +135597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.827455266,1 +135599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.787677776,1 +135598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,1.615686893,1 +135600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.944276208,1 +135601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.423430369,1 +135602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.049737119,1 +135603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.492591114,1 +135604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.392857623,1 +135606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.771237821,1 +135605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.033146968,1 +135608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.396646442,1 +135607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.437580186,1 +135609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.421755778,1 +135610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.786769551,1 +135611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.280382912,1 +135612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.786110152,1 +135614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.623432047,1 +135613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,1.997010819,1 +135615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.461695716,1 +135618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.915690435,1 +135617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.637173143,1 +135616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.847604426,1 +135619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.485581998,1 +135621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.601695705,1 +135620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.148219669,1 +135623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.192790343,1 +135622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.215726008,1 +135624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.67493608,1 +135625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.504222411,1 +135626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.80186211,1 +135627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.256298465,1 +135628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.883910015,1 +135629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.76845466,1 +135630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.969658051,1 +135631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.129862819,1 +135632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.550036234,1 +135633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.187395526,1 +135634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.71896908,1 +135635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.935082903,1 +135636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.394582985,1 +135637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.737706568,1 +135638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.560380044,1 +135641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.720271582,1 +135640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.383475336,1 +135639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.718185354,1 +135642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.466116202,1 +135643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.279760913,1 +135644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.346081684,1 +135645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.891541263,1 +135646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.486525497,1 +135647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.487910565,1 +135648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.630283314,1 +135650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.377419001,1 +135651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.054969093,1 +135652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.067907128,1 +135653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.121194915,1 +135654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.004156523,1 +135649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.674550847,1 +135655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.342440239,1 +135656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.353910205,1 +135657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.860577336,1 +135658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.264213256,1 +135659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.916216107,1 +135660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.775995336,1 +135661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.850236965,1 +135662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.532275599,1 +135663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.21396692,1 +135664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.682502876,1 +135665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.063430546,1 +135666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.289357658,1 +135667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.570250395,1 +135668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.274021358,1 +135669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.025664089,1 +135672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.100978662,1 +135671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.721433217,1 +135673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.856464187,1 +135674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.888195641,1 +135675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.208515141,1 +135670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.863307033,1 +135676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.523047159,1 +135677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.176724298,1 +135678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.285942618,1 +135679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.279075229,1 +135680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.570865668,1 +135681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.098313313,1 +135682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.786081964,1 +135683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.055103311,1 +135684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.876293214,1 +135685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.684141675,1 +135686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.755310662,1 +135687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.817219826,1 +135688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.764123199,1 +135689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.24355065,1 +135690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.881515029,1 +135692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.81112327,1 +135694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.202835979,1 +135693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.719801884,1 +135691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.66455388,1 +135696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.544730087,1 +135695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,1.588732669,1 +135697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.936862597,1 +135699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.041048428,1 +135700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.081019927,1 +135698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.453339671,1 +135701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.198083287,1 +135702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.488455929,1 +135703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.142481348,1 +135704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.379260488,1 +135705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,7.688795406,1 +135707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.031739688,1 +135706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.204268736,1 +135709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.099794622,1 +135708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.045597731,1 +135711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.781092831,1 +135710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,1.804331419,1 +135712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.515585453,1 +135713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.089901267,1 +135715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.293259409,1 +135714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.241910633,1 +135716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.131691045,1 +135717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.702389089,1 +135719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.048851658,1 +135718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.195752367,1 +135720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.438973443,1 +135723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.044906626,1 +135722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.169561171,1 +135721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.619378311,1 +135724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.087872845,1 +135726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.906138985,1 +135725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.94015169,1 +135728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.466099756,1 +135727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.639346575,1 +135729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.178340412,1 +135731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.688231652,1 +135730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.401273294,1 +135732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.946607161,1 +135734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.08832338,1 +135733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.903955249,1 +135735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.253601863,1 +135737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.830748981,1 +135736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.075296953,1 +135738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.962427878,1 +135739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.32668018,1 +135740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.066668961,1 +135741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.782790103,1 +135742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.859568297,1 +135744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.433635959,1 +135746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.556412486,1 +135743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.349517265,1 +135747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.259631722,1 +135745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.724461997,1 +135748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.066939347,1 +135749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.299612056,1 +135750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.376587818,1 +135752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.24409813,1 +135753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.323247758,1 +135751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.238498497,1 +135756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.000535878,1 +135754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.275977704,1 +135757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.390906333,1 +135755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.617968613,1 +135759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.248277333,1 +135761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.390463464,1 +135758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.944388081,1 +135762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.276618875,1 +135763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.334521366,1 +135764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.830575296,1 +135760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.367404336,1 +135765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.308902387,1 +135766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.671259177,1 +135767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.211313966,1 +135768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.241740508,1 +135770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.184669488,1 +135771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.887689581,1 +135769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.816966989,1 +135772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.436895582,1 +135773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.085739171,1 +135774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.532377729,1 +135776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.397897905,1 +135777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.235107332,1 +135778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.807339798,1 +135775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.844551549,1 +135780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.068013596,1 +135781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.857712473,1 +135782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.477597438,1 +135779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.593064969,1 +135785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.56716788,1 +135783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.984440807,1 +135786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.36874728,1 +135784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.908958857,1 +135787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.000662841,1 +135788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.528332983,1 +135789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.531121655,1 +135790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.122807564,1 +135792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.631911283,1 +135794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.836772503,1 +135791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.169132265,1 +135793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.712114987,1 +135795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.332299649,1 +135796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.203578248,1 +135797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.032383201,1 +135798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.81270003,1 +135799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.724284701,1 +135801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.295366131,1 +135800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.1736181,1 +135803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.618401904,1 +135802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.577270163,1 +135804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,1.874277811,1 +135805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.443774995,1 +135806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.735048718,1 +135807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.025121294,1 +135809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.436676496,1 +135808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.708593955,1 +135810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.4664275,1 +135812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.098897016,1 +135811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.089725065,1 +135814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.367087344,1 +135813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.483650466,1 +135816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.22595079,1 +135815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.209694767,1 +135818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.319583699,1 +135817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.905653013,1 +135819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.135551471,1 +135820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.341134387,1 +135821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.62961714,1 +135822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.332748649,1 +135823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,1.64421934,1 +135824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.139134779,1 +135826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.210391156,1 +135827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.542284481,1 +135828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.43167059,1 +135829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.804827234,1 +135825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.763177645,1 +135831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.988385408,1 +135830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.31450854,1 +135832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.609814206,1 +135833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.487315186,1 +135834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.794421386,1 +135837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.118160613,1 +135836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.958369957,1 +135835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.780940054,1 +135838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.920753944,1 +135839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.913801096,1 +135840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.847801572,1 +135841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.782098726,1 +135842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.624039234,1 +135844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.337805311,1 +135845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,7.622260368,1 +135843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.183313229,1 +135846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.181534952,1 +135847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.438664415,1 +135848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.799757597,1 +135849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.778185799,1 +135851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.032858048,1 +135850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.115976982,1 +135853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.368995064,1 +135852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.64846724,1 +135854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.384950001,1 +135855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.165516075,1 +135856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.076704704,1 +135857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.154735189,1 +135858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,1.910716274,1 +135859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.650116915,1 +135860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.05620581,1 +135863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.226582025,1 +135862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.150694767,1 +135861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.89361561,1 +135864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.455704352,1 +135865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.243935139,1 +135866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.314715039,1 +135868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.953180207,1 +135867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.91684448,1 +135870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.278532259,1 +135869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.455166348,1 +135872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.947132368,1 +135871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.32792993,1 +135873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.237040401,1 +135874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.424503513,1 +135876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.281858219,1 +135878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.654234778,1 +135877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.515594626,1 +135875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.045422459,1 +135879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.963784517,1 +135880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.372422925,1 +135881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.518731314,1 +135882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.3066217,1 +135883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.944448682,1 +135885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.132980325,1 +135884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.266054885,1 +135886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.248076333,1 +135887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.347420896,1 +135889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.155665716,1 +135888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.531664863,1 +135891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.853892885,1 +135893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.363993376,1 +135890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.53826795,1 +135892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.680074629,1 +135895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.84614968,1 +135894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.376943338,1 +135896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.93518461,1 +135897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.656678524,1 +135899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.854927383,1 +135898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.150264088,1 +135900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.493202065,1 +135901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.665549637,1 +135902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.340210754,1 +135903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.205263847,1 +135905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.139763802,1 +135904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.303113212,1 +135906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.598655937,1 +135907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.814132423,1 +135908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,8.665527964,1 +135909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.641469129,1 +135910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.97902714,1 +135911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.093572769,1 +135912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.147549258,1 +135913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,1.662592674,1 +135914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,1.727620172,1 +135915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.156798546,1 +135916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.091434151,1 +135917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.072892909,1 +135918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.356113727,1 +135919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.949025778,1 +135920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.529480794,1 +135921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.870593452,1 +135922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.432105878,1 +135923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.90781838,1 +135924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.692649287,1 +135925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.205947377,1 +135926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,7.501645504,1 +135928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.03269882,1 +135927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.975763377,1 +135929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.320775734,1 +135931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.135706465,1 +135932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.082108654,1 +135930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.171133043,1 +135934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.587766239,1 +135933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.246458793,1 +135935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.741542383,1 +135936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.678590284,1 +135938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.9667385,1 +135939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.548680447,1 +135937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.149248783,1 +135940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.874627655,1 +135941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.156718309,1 +135943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.036918258,1 +135942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.319658793,1 +135944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.769543852,1 +135945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.214379592,1 +135946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.606610097,1 +135947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.479509842,1 +135948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.540701187,1 +135950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.13277706,1 +135949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.818033492,1 +135951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.657933724,1 +135953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.997038149,1 +135955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.206367582,1 +135952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.881937418,1 +135954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.828437749,1 +135958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.879989644,1 +135956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.000981469,1 +135960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.608628545,1 +135957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.988256909,1 +135961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.63428719,1 +135959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.390180584,1 +135963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.8089412,1 +135964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.53263953,1 +135965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.010705463,1 +135966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.844216604,1 +135967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.159746792,1 +135962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.857813394,1 +135968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.339971931,1 +135969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.001799776,1 +135971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.809304426,1 +135970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.888424251,1 +135973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.480550396,1 +135975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.911248172,1 +135974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,1.9165231,1 +135972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.114544479,1 +135977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.271778901,1 +135978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.057454821,1 +135976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.287339687,1 +135979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.530197252,1 +135980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,7.313277575,1 +135983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.317638217,1 +135982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.547092653,1 +135981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.445599126,1 +135985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.80297111,1 +135986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.360231728,1 +135984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.685993842,1 +135987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.617116743,1 +135988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.94284823,1 +135990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,2.334835605,1 +135991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.098869512,1 +135993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.30488142,1 +135994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.866169984,1 +135989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.039678742,1 +135995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,5.240326561,1 +135992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,3.990259269,1 +135997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.455977062,1 +135998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.495688572,1 +135999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.692369758,1 +135996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,4.489548448,1 +136000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,6,1,6.139319739,1 +145001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.0736001,1 +145003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.953467212,1 +145004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.56676791,1 +145005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.22943138,1 +145006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.242209071,1 +145007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.226434934,1 +145002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.726431822,1 +145008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.462665602,1 +145010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.774530759,1 +145011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.209130094,1 +145009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.731724581,1 +145013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.531770421,1 +145012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,1.932007144,1 +145014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.418818969,1 +145015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.295678215,1 +145017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.937064217,1 +145018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.56109334,1 +145019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.680570846,1 +145016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.477832965,1 +145020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.734215903,1 +145022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.609050034,1 +145023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.230434531,1 +145024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.26561488,1 +145021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.228903244,1 +145026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.736417035,1 +145025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.036519403,1 +145027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.231661947,1 +145029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.140108649,1 +145028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.213834068,1 +145030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.864086613,1 +145031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.195588236,1 +145033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.653516951,1 +145034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.731776319,1 +145035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.146565841,1 +145032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.533618036,1 +145037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.402118229,1 +145038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.834022962,1 +145039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.270835926,1 +145036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.639878637,1 +145042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.06329434,1 +145040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.569218397,1 +145041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.761166095,1 +145043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.111066191,1 +145044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.191823725,1 +145046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.728830873,1 +145045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.971052276,1 +145047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.068019601,1 +145050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.270628288,1 +145049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.903694318,1 +145051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.031821143,1 +145052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.353822923,1 +145053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.421085989,1 +145048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.16340078,1 +145057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.430887858,1 +145055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.292681271,1 +145056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.331640903,1 +145054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.561982335,1 +145058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.06564022,1 +145059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,7.90532346,1 +145060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.975830217,1 +145061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.284162615,1 +145062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.793413108,1 +145063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,7.285658068,1 +145064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.525812974,1 +145065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.04814719,1 +145066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.485277492,1 +145067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.043032721,1 +145068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,1.651982226,1 +145069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.051200382,1 +145071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.005847914,1 +145072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,1.771919865,1 +145070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.552907486,1 +145074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.288278693,1 +145075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.329446674,1 +145073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.996602766,1 +145076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.466447041,1 +145077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,1.956543613,1 +145078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.036122618,1 +145079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.878275055,1 +145080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.421408968,1 +145081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.720417896,1 +145082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.38350313,1 +145084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.916778784,1 +145083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.915428992,1 +145085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.264458327,1 +145086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.201071512,1 +145088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.221197067,1 +145089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.966602579,1 +145090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.119278709,1 +145087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,1.808051222,1 +145091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.629867202,1 +145092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.888681207,1 +145093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.051671308,1 +145094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.314749382,1 +145096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.125293177,1 +145095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.154278103,1 +145097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.759746882,1 +145098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.311950496,1 +145099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.147550733,1 +145100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.487851846,1 +145102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.954828679,1 +145101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.985244221,1 +145103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.967072641,1 +145104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.014308103,1 +145105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.664291999,1 +145106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.843150773,1 +145107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.025781959,1 +145108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.14719663,1 +145109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.802943573,1 +145110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.678756082,1 +145111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.35931285,1 +145112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.122784245,1 +145113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.370411072,1 +145114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.217079066,1 +145115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.235192141,1 +145116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.678609944,1 +145117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.385353229,1 +145118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.051256099,1 +145119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,1.018059994,1 +145120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.102678013,1 +145121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.684225985,1 +145122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.253066089,1 +145123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.116589212,1 +145125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.078066735,1 +145124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.42308494,1 +145126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.161653534,1 +145127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.078784903,1 +145128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.500645784,1 +145129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.424711863,1 +145131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.570777171,1 +145130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.814576318,1 +145132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.688382561,1 +145133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.446028015,1 +145135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.134749072,1 +145134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.993722711,1 +145136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.857711305,1 +145137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.084185204,1 +145138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.345109741,1 +145139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,1.669947762,1 +145140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.006227385,1 +145141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.686846017,1 +145142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.602481395,1 +145143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.510886632,1 +145144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.846020447,1 +145146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.286156052,1 +145145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,7.255715907,1 +145147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.868167752,1 +145148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.834364891,1 +145149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.922817517,1 +145151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.660924357,1 +145152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.977682416,1 +145154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.870957583,1 +145153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.870220767,1 +145150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.611263237,1 +145155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.55123187,1 +145156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.534535418,1 +145157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.081922234,1 +145159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.004047854,1 +145161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.956925428,1 +145160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.982162811,1 +145158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.730705808,1 +145163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.249022821,1 +145165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.484926539,1 +145162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.068507531,1 +145164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.429725582,1 +145166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.843079753,1 +145167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.68933454,1 +145168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.593217047,1 +145169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.411662081,1 +145170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.546940327,1 +145172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.398522227,1 +145173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.751764327,1 +145174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.062719847,1 +145175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.040940625,1 +145176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.399879845,1 +145171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.899515241,1 +145178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.362658236,1 +145177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.16393142,1 +145179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.816258018,1 +145180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.343247316,1 +145181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.490788526,1 +145182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.016110477,1 +145183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.389079041,1 +145185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.60497095,1 +145184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.784760766,1 +145186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.120044245,1 +145187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.674746969,1 +145188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.019146775,1 +145190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.312880109,1 +145189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.314081343,1 +145191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.71770975,1 +145192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.177347008,1 +145193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.724997059,1 +145194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.879449428,1 +145195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.044627999,1 +145196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.474073116,1 +145197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.569089369,1 +145199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.120456131,1 +145201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.924951359,1 +145198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,7.178745198,1 +145200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.262236855,1 +145205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.418106735,1 +145203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.176429216,1 +145202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.85600871,1 +145204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.880926382,1 +145206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.286688952,1 +145207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.900636327,1 +145208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.309429465,1 +145209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.795161047,1 +145212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.001819549,1 +145210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.748288888,1 +145211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.761147581,1 +145213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.357258796,1 +145214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.338378206,1 +145215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.980497297,1 +145216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.211612938,1 +145218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,8.376536622,1 +145217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.381068824,1 +145219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.54250888,1 +145220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.545233773,1 +145222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.087728249,1 +145223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.524569397,1 +145221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.630485742,1 +145224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.756488826,1 +145225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.522775537,1 +145227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.262396963,1 +145226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.493654028,1 +145228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.505223165,1 +145229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.200045151,1 +145231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.146927814,1 +145232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.939923044,1 +145233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.375898172,1 +145234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.580312312,1 +145230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.175369044,1 +145235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.339787578,1 +145236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.859969611,1 +145237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.814402203,1 +145239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.544051521,1 +145238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.804475693,1 +145240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.786073708,1 +145243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.878455396,1 +145241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.183455399,1 +145242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.948247397,1 +145244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.320130893,1 +145246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.731661334,1 +145247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.527548575,1 +145248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.948820416,1 +145250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.361517937,1 +145249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.473830347,1 +145245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.266856193,1 +145251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.488338446,1 +145253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.762469434,1 +145252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.037470122,1 +145254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.379225327,1 +145255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.980773256,1 +145256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,7.499097236,1 +145257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.484867158,1 +145258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.752152392,1 +145259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.991110121,1 +145260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.204150371,1 +145261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.088753863,1 +145262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.559181956,1 +145263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.776626468,1 +145264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.081908171,1 +145265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.621537064,1 +145267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.926105234,1 +145268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.046319861,1 +145269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.823481107,1 +145266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.183829675,1 +145273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.530350352,1 +145272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.081991542,1 +145270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.516924637,1 +145271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.745410468,1 +145274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,1.953288396,1 +145276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.698370988,1 +145275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,9.252843497,1 +145277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.043023477,1 +145278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.876845467,1 +145279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.172090855,1 +145280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.423106272,1 +145281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.892172048,1 +145283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.41233253,1 +145284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.346915319,1 +145285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.575114813,1 +145282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.167618756,1 +145286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.002381119,1 +145289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.680023699,1 +145288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.973450298,1 +145287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.765408837,1 +145290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.546105364,1 +145292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.304426856,1 +145291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.845793851,1 +145293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.57420726,1 +145295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.624933484,1 +145294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.862729842,1 +145296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.128662239,1 +145297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.217315488,1 +145298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.117214452,1 +145299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.859480156,1 +145301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.999585633,1 +145303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.034552227,1 +145302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.873363507,1 +145300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.428197475,1 +145304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.875413175,1 +145306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.816257877,1 +145305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.308727367,1 +145307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.225901098,1 +145308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.802435703,1 +145309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.36337802,1 +145310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.898274801,1 +145312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.011543256,1 +145313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.169379509,1 +145311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.156584523,1 +145314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.778327793,1 +145315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.979363927,1 +145316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.447008398,1 +145317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.732026974,1 +145318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.24164975,1 +145319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.845523941,1 +145321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.676662172,1 +145320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.397871982,1 +145322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,8.097720349,1 +145323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,1.774203033,1 +145324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.254627965,1 +145325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.140578541,1 +145326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.45414435,1 +145327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,7.326840508,1 +145328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.622171376,1 +145329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.242701616,1 +145330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.145736012,1 +145332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.639351203,1 +145333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.760976607,1 +145331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.122743172,1 +145334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.021122868,1 +145337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.045071067,1 +145336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.505637167,1 +145338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.332524943,1 +145335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.133030839,1 +145339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.360873994,1 +145340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.251883233,1 +145341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.274282588,1 +145342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.748532886,1 +145343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.398465264,1 +145344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.957401475,1 +145345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.101615041,1 +145347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.599453605,1 +145346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.062453733,1 +145348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.424925118,1 +145349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.251193815,1 +145350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.567857346,1 +145352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,7.248180157,1 +145353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.90814225,1 +145354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.120252427,1 +145351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.907724132,1 +145355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.402886584,1 +145356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.574425404,1 +145357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,1.897661484,1 +145359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.444425432,1 +145358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.663930545,1 +145360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.951633422,1 +145361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.504394301,1 +145362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.478723408,1 +145363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.901128449,1 +145365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.688646448,1 +145364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.316418875,1 +145367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.157525014,1 +145366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.279771996,1 +145368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,7.01109078,1 +145369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.341726047,1 +145371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.070142027,1 +145373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.737742508,1 +145372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.205355197,1 +145370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.492363657,1 +145374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.248478356,1 +145375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.734369133,1 +145376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.701860539,1 +145377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.93149538,1 +145378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.197952335,1 +145381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.553830454,1 +145379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.272216594,1 +145380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.556010704,1 +145383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.698269926,1 +145384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.333571692,1 +145382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.831345716,1 +145385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.75609003,1 +145388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.332936821,1 +145387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.579445657,1 +145389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,1.733859826,1 +145390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.560628899,1 +145391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.097068076,1 +145392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.004306117,1 +145386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.026700956,1 +145394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.301193791,1 +145396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.161246083,1 +145393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.179612116,1 +145395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.785873039,1 +145397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.765796888,1 +145399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.33072596,1 +145400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.445304274,1 +145398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.739632781,1 +145401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.826677246,1 +145402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.900444678,1 +145403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.598767101,1 +145404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.491019188,1 +145405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.283585464,1 +145406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.7789692,1 +145407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.714751369,1 +145409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.973714638,1 +145408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.173318349,1 +145410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.031829049,1 +145411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.573325251,1 +145412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.129608495,1 +145413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.396027071,1 +145414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.168236773,1 +145415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.847231958,1 +145416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.941194149,1 +145417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.347539827,1 +145418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.7230421,1 +145419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.131787295,1 +145420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.818862722,1 +145421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.656780228,1 +145422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.124676813,1 +145423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.321408421,1 +145424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.913311424,1 +145426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.44867092,1 +145427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.132685129,1 +145425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.485061164,1 +145430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.74734903,1 +145429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.360439444,1 +145428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.366615213,1 +145431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.766635364,1 +145432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.86206146,1 +145433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.786023093,1 +145435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.026101676,1 +145437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.922242934,1 +145436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.551435348,1 +145434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.837384348,1 +145438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.931908626,1 +145441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.629436858,1 +145440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.118558528,1 +145439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.001413112,1 +145443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.427811224,1 +145444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.759272223,1 +145442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.835525707,1 +145445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.2835593,1 +145446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,7.127076745,1 +145447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.165780476,1 +145449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.354338908,1 +145448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.060502849,1 +145450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,8.170329491,1 +145451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.837836439,1 +145452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.238543575,1 +145453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.87195549,1 +145456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.398147173,1 +145454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.122860039,1 +145455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.081333035,1 +145459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.071376575,1 +145458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.181810247,1 +145457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.782369635,1 +145460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.654002023,1 +145461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.522469404,1 +145463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,7.233923129,1 +145462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.878536777,1 +145466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.392390829,1 +145464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.332071983,1 +145465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.455225351,1 +145467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.128399696,1 +145469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.192032254,1 +145468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.225186536,1 +145471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.45934179,1 +145470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.641507936,1 +145472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.463089574,1 +145473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.135928388,1 +145475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.507351748,1 +145474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.782038483,1 +145476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.29609987,1 +145477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,1.773571451,1 +145478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.921618696,1 +145479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.513416936,1 +145480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.805114376,1 +145481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.488181234,1 +145482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.950639249,1 +145485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.238508657,1 +145484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.349547214,1 +145483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.478254119,1 +145486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.516142164,1 +145488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.06558856,1 +145487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.918478143,1 +145489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.764371198,1 +145490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.500541916,1 +145491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,7.339600978,1 +145493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.227633218,1 +145492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.066928585,1 +145494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.543880225,1 +145495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.352595562,1 +145497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.985216963,1 +145498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.741466593,1 +145496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.674414606,1 +145499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.011748248,1 +145500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.543999028,1 +145502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.013907789,1 +145503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.285333134,1 +145504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.957231922,1 +145501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.657604677,1 +145507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.068733276,1 +145506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,1.602051823,1 +145508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.311728298,1 +145505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.596409062,1 +145509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.941810813,1 +145510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.692329245,1 +145511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.976633424,1 +145514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.205575161,1 +145513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.782113163,1 +145515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,7.492967749,1 +145512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.810373243,1 +145519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.360803522,1 +145516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.176054288,1 +145517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.554641168,1 +145518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.569629969,1 +145521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.095704174,1 +145520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.202440927,1 +145522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.315726596,1 +145524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.480227818,1 +145523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.3058842,1 +145526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.837843874,1 +145527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.36353508,1 +145528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.53539248,1 +145525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.325098777,1 +145529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.533738268,1 +145531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.672823394,1 +145532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.995475386,1 +145530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,7.508372233,1 +145533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.034778777,1 +145534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.059272995,1 +145535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.453953636,1 +145536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.780711273,1 +145537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.636651511,1 +145539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.469786454,1 +145540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.588062644,1 +145541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.44872916,1 +145538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.784339461,1 +145543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.259451694,1 +145544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.133319808,1 +145545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.440427379,1 +145542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.503870101,1 +145546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.833287451,1 +145547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.54845442,1 +145548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.770396652,1 +145549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.18409482,1 +145552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.286671961,1 +145550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.282267369,1 +145551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.007127854,1 +145553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.329276027,1 +145555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.685498528,1 +145556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.019085655,1 +145558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.997485243,1 +145557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.446836621,1 +145559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.205337051,1 +145554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.323784166,1 +145560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.845452421,1 +145563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.895591164,1 +145561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.083883176,1 +145562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.158024129,1 +145565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.971769062,1 +145564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.139463966,1 +145566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.686045046,1 +145567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.750254102,1 +145568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.099079771,1 +145569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.197446122,1 +145570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.327055619,1 +145572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.446718039,1 +145573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.336984548,1 +145574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.01477544,1 +145575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.965009396,1 +145571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.373008991,1 +145576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.988283915,1 +145578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.638153697,1 +145579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.96918202,1 +145582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.48082785,1 +145577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.431043377,1 +145580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.829794616,1 +145581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.416280818,1 +145584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.881264241,1 +145585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.865021222,1 +145583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.694151768,1 +145586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.003954894,1 +145587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.298407985,1 +145588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.782312465,1 +145590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.111565402,1 +145589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.636002675,1 +145592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.330828186,1 +145593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.204347693,1 +145594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.696892995,1 +145591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.11187823,1 +145595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,1.731554441,1 +145597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.0664624,1 +145596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.925392452,1 +145598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.510574622,1 +145599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,1.840845731,1 +145601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.745237696,1 +145602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,1.824306989,1 +145600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.0068586,1 +145603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.168674361,1 +145604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.98558227,1 +145605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.435793592,1 +145606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.424431586,1 +145607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.984046193,1 +145608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.500013452,1 +145610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.261834841,1 +145609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.033807573,1 +145612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.497442124,1 +145611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.934983084,1 +145614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.327656678,1 +145615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.559567576,1 +145616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.110633365,1 +145617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.838422971,1 +145618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.30882799,1 +145619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.378218637,1 +145613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.520406057,1 +145620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.041163553,1 +145621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.754440426,1 +145622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.477264207,1 +145623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.999414136,1 +145624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.452108373,1 +145625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.634114193,1 +145627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.903930352,1 +145626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.411370859,1 +145628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,1.062411666,1 +145629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.90027616,1 +145631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.476582982,1 +145632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.601480777,1 +145633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.021538077,1 +145634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.243160105,1 +145635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.261038756,1 +145636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.67954262,1 +145630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.903968639,1 +145637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.761429957,1 +145638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.765256417,1 +145639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.502856642,1 +145640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.11164104,1 +145641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.660752085,1 +145642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.478444965,1 +145643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.609504667,1 +145644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.014336886,1 +145646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.304595442,1 +145647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.213427517,1 +145645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.987610911,1 +145649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.032574715,1 +145650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.008602475,1 +145651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.60876313,1 +145648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,1.927440404,1 +145653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,7.068664398,1 +145652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.409830038,1 +145654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,7.22449265,1 +145655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.68770612,1 +145657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.940481857,1 +145658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.972842884,1 +145656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,7.124737047,1 +145660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.371663787,1 +145661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.091213125,1 +145659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.899438661,1 +145662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.598911369,1 +145663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.577838899,1 +145664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.401189003,1 +145666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.452836614,1 +145665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.875604356,1 +145667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.184098781,1 +145668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.221598452,1 +145669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.37625032,1 +145670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.280014504,1 +145671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.000933648,1 +145672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.299900877,1 +145674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.362491417,1 +145673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.822685755,1 +145675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.154207348,1 +145678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.727794844,1 +145676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.090506611,1 +145677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.162559612,1 +145679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.102239468,1 +145681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.628016749,1 +145680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.131123875,1 +145682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.985291119,1 +145683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.47906814,1 +145684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.093012568,1 +145685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.635227988,1 +145687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.673406848,1 +145688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.471832543,1 +145686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.746385112,1 +145689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.323801391,1 +145690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.418058587,1 +145691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.601151131,1 +145693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.989136174,1 +145692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.630923089,1 +145695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.382434958,1 +145694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.232753188,1 +145696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.807716126,1 +145697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.10407921,1 +145698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.760781406,1 +145699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.445741876,1 +145700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.530111116,1 +145703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.238643158,1 +145702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.86367338,1 +145701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.610544352,1 +145704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.806761054,1 +145705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.233266036,1 +145706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.861136279,1 +145707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.952244415,1 +145708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.982333524,1 +145709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.212131088,1 +145710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.000412284,1 +145711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.238588722,1 +145713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.34888517,1 +145712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.92634021,1 +145714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.691874197,1 +145715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.624804692,1 +145716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.344828249,1 +145717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,1.994991547,1 +145718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.141841297,1 +145720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.5842011,1 +145721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.43530964,1 +145719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.679579807,1 +145722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.15160842,1 +145723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.304654856,1 +145724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.656058946,1 +145725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.563780057,1 +145726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.850901276,1 +145727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.066935713,1 +145728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.514686928,1 +145729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.555039401,1 +145730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.188449847,1 +145731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.195853757,1 +145732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.28538197,1 +145735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.749547786,1 +145734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.728330095,1 +145733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.26988527,1 +145738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.006165465,1 +145737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.508242141,1 +145736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.496582999,1 +145739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,1.918008745,1 +145740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.789595012,1 +145741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.200680777,1 +145742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.934626069,1 +145744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.409295627,1 +145745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.342862953,1 +145743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.312928218,1 +145746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.428917169,1 +145747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.595958233,1 +145749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.949264781,1 +145748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.299805921,1 +145750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.14592948,1 +145751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.108548633,1 +145753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.692699753,1 +145755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.144135165,1 +145754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.678320482,1 +145756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.489594804,1 +145752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.895619466,1 +145757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.273880296,1 +145758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,8.1921123,1 +145759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.195199896,1 +145762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.074651155,1 +145761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.720527666,1 +145760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.772305182,1 +145764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,8.857090143,1 +145763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.779282858,1 +145765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.015256992,1 +145766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.75324999,1 +145768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.549508815,1 +145769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.157023424,1 +145770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.128497799,1 +145771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.19954088,1 +145772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.504023202,1 +145767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.356074044,1 +145774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.664626894,1 +145775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.014202811,1 +145776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.224909647,1 +145773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.027467861,1 +145779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.759394061,1 +145777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.174883329,1 +145780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,1.3069939,1 +145778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.459231373,1 +145781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.979350058,1 +145782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.059183628,1 +145783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,7.437293748,1 +145784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.537576101,1 +145786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.221708882,1 +145787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.432602981,1 +145788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.726078398,1 +145789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.418987057,1 +145785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,8.461045057,1 +145791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.16526437,1 +145792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.039026637,1 +145793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.165051337,1 +145790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.19100951,1 +145795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.126245244,1 +145796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.441288373,1 +145794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.521652008,1 +145797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.600069641,1 +145798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.249333282,1 +145799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.501094351,1 +145800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.404363724,1 +145801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.242554479,1 +145802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.457168407,1 +145804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.356213856,1 +145806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.856217851,1 +145805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,8.24637621,1 +145803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.578274256,1 +145807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.210911802,1 +145810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.510451586,1 +145811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.385694351,1 +145809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.733075285,1 +145808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.933844773,1 +145812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.407576046,1 +145814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.771339068,1 +145815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.183519405,1 +145816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.07412995,1 +145813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.403486406,1 +145818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.539469149,1 +145820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.901695962,1 +145819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.419064073,1 +145817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.576069785,1 +145821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.181509504,1 +145822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.452093609,1 +145823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.90773892,1 +145824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.348594135,1 +145826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.759055069,1 +145825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.365140947,1 +145827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.041466846,1 +145828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.220216333,1 +145829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.241949857,1 +145830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.518278102,1 +145832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.568130824,1 +145833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.990130266,1 +145831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.714941325,1 +145834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.062135016,1 +145835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.709296928,1 +145836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.566996288,1 +145837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.152516566,1 +145838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.788855004,1 +145840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.883018665,1 +145839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.606675699,1 +145841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.495591847,1 +145842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.043439689,1 +145844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.054139847,1 +145843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.49516597,1 +145846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.451920448,1 +145845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.137338001,1 +145847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.680788876,1 +145848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.99256783,1 +145849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.276216332,1 +145850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,1.330832478,1 +145851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.131677707,1 +145852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.539911027,1 +145853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.403905513,1 +145854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.782006247,1 +145856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.747354584,1 +145855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.732700663,1 +145857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.990304294,1 +145859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.00569094,1 +145860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.753458867,1 +145861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.558388132,1 +145858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.404097877,1 +145862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.553993768,1 +145863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.783770254,1 +145864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.860800677,1 +145865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.523772953,1 +145866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.050498485,1 +145867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.015382061,1 +145868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.904339726,1 +145869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.683193558,1 +145870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.445561579,1 +145871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.98685166,1 +145872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.426701766,1 +145873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.933639861,1 +145875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.44338486,1 +145874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.500309458,1 +145876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.482607739,1 +145877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.373226797,1 +145880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.45477255,1 +145879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.559225209,1 +145878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.634054313,1 +145881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.651097371,1 +145883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.960524175,1 +145882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.720561712,1 +145884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.712636312,1 +145885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.431850619,1 +145886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.969205135,1 +145887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.230110875,1 +145890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.292479342,1 +145888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.034452586,1 +145891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.45466774,1 +145889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,7.481220997,1 +145892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.460944364,1 +145894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.96867609,1 +145893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.361214981,1 +145895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.319181788,1 +145896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.271356513,1 +145897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.725570915,1 +145899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.497201404,1 +145898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.233893621,1 +145903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.381377635,1 +145901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.001200912,1 +145900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.997624691,1 +145904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.000903882,1 +145905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.453456306,1 +145906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.76853083,1 +145902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.739447297,1 +145908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.549911695,1 +145909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.630282252,1 +145910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.133778039,1 +145911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.016789387,1 +145912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.582500472,1 +145907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.14615995,1 +145913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.931707168,1 +145916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.047339075,1 +145914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.087670986,1 +145915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.90396839,1 +145917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.933436927,1 +145918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,1.901824854,1 +145919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.507717606,1 +145920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.177088691,1 +145922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.543356984,1 +145923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.206325249,1 +145924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.73375843,1 +145926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.563646391,1 +145921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.31280716,1 +145927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.951413086,1 +145925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,7.261063567,1 +145929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.930749373,1 +145931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.240028179,1 +145928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.908499449,1 +145930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.249841296,1 +145932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.543278461,1 +145933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.348267444,1 +145934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.727241336,1 +145935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.549657283,1 +145936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.398924433,1 +145937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.255348561,1 +145938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.37356122,1 +145939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.707280356,1 +145943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.503178349,1 +145942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.338286984,1 +145944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.822556927,1 +145945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.9846727,1 +145940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.049358376,1 +145941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.944225395,1 +145948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.355622848,1 +145949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.24730858,1 +145946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.170914543,1 +145947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.692960872,1 +145950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.06117686,1 +145951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.705301614,1 +145953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.40803914,1 +145952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,1.839915906,1 +145955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.350311004,1 +145957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.151299742,1 +145956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.494961379,1 +145959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.78977156,1 +145960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.316195304,1 +145954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.004343882,1 +145958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.200206715,1 +145963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.015056626,1 +145962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.099158837,1 +145961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.32427084,1 +145964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.723063202,1 +145966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.991930908,1 +145965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.078099431,1 +145967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.877484827,1 +145968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.41327439,1 +145969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.853846323,1 +145970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.090852267,1 +145971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.812657687,1 +145972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.37012851,1 +145973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.293681183,1 +145975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.388135744,1 +145976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.322575145,1 +145977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.757997274,1 +145974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.662693346,1 +145978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.731031614,1 +145979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.128168503,1 +145981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.23096313,1 +145980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.064183979,1 +145982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.102053805,1 +145983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.377905035,1 +145984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.364776057,1 +145985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.314576133,1 +145986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.815164594,1 +145987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.583126395,1 +145989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.569774965,1 +145990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,2.570278962,1 +145991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.274005594,1 +145988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.479635459,1 +145992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.64832662,1 +145993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.951399199,1 +145994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.567001213,1 +145995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,5.145612161,1 +145996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.58207628,1 +145997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.338798352,1 +145998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,6.095141209,1 +145999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,4.35723878,1 +146000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,6,1,3.919343998,1 +155001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.963173929,1 +155002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.940729633,1 +155004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.310850444,1 +155005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.458475225,1 +155003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.896465339,1 +155006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.009326835,1 +155007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.19570461,1 +155008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.977319681,1 +155009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.599455578,1 +155010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.799772342,1 +155011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.762021375,1 +155012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.228905337,1 +155013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.794599203,1 +155015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.70532451,1 +155017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.569120879,1 +155014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.697326331,1 +155016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.217579573,1 +155018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.8558732,1 +155020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.995157035,1 +155019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.797415134,1 +155021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.70168117,1 +155022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.677009058,1 +155024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.481291771,1 +155023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.988469859,1 +155025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.729826096,1 +155027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.98577435,1 +155026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,7.33046952,1 +155029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.684824514,1 +155028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.933779714,1 +155030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.923964972,1 +155031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.282149632,1 +155033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.682813704,1 +155032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.779077648,1 +155035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.567734126,1 +155034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.819453462,1 +155036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.275631321,1 +155037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.188737236,1 +155038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.302728964,1 +155039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.078351832,1 +155040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.391542054,1 +155041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.642567192,1 +155042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.372650302,1 +155043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.246651304,1 +155045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.584684689,1 +155044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,7.252447762,1 +155046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.965586419,1 +155047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.300321135,1 +155049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.253018542,1 +155048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.13938808,1 +155050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.075000834,1 +155051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.058122929,1 +155053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.036761898,1 +155054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.911868648,1 +155055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.573341172,1 +155052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.992997322,1 +155056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.326010098,1 +155057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.014687154,1 +155058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.257041749,1 +155059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.867273523,1 +155060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.818432063,1 +155061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.742820453,1 +155062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.689043835,1 +155063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.429400731,1 +155065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.851073828,1 +155064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.946846493,1 +155066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.654483779,1 +155068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.296969838,1 +155069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.471420487,1 +155070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.835359349,1 +155067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.481311309,1 +155071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.046315857,1 +155072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.876233342,1 +155073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.505190943,1 +155075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.428012619,1 +155076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.584265712,1 +155077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.266156899,1 +155074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.848090764,1 +155079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.98644673,1 +155081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.507384656,1 +155078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.195735078,1 +155080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.606162303,1 +155082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.733360232,1 +155084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.631082525,1 +155083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.958741716,1 +155085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.154196402,1 +155086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.321607861,1 +155087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.524217984,1 +155090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.855501495,1 +155089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.397599878,1 +155088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.255699697,1 +155091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.250500611,1 +155093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.671564783,1 +155094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.60916731,1 +155092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.651820674,1 +155096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.533406268,1 +155095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.636224795,1 +155097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.592666732,1 +155098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.634136814,1 +155099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.02520998,1 +155100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.809502896,1 +155102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.373066793,1 +155101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.456895533,1 +155103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.726593846,1 +155104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.124743421,1 +155105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.842702365,1 +155107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.126358026,1 +155108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.016596151,1 +155109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.785378644,1 +155106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.198333791,1 +155112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,8.555367936,1 +155111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.493864794,1 +155110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,8.870897882,1 +155113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.495879488,1 +155114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.693489369,1 +155115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.16077407,1 +155116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.198464623,1 +155117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.987334474,1 +155118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,8.126295565,1 +155120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.607499996,1 +155119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.655406901,1 +155121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.729669092,1 +155123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.372969857,1 +155124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.683593306,1 +155122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.482392288,1 +155125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.039743401,1 +155127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.514544194,1 +155126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.797461681,1 +155128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.206055811,1 +155130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.288854273,1 +155129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.535677106,1 +155131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.171426897,1 +155132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.311877844,1 +155135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.525996215,1 +155136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.579640577,1 +155134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.783551621,1 +155133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.763925647,1 +155138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.444783957,1 +155137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.195813872,1 +155140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.183447829,1 +155139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.583363116,1 +155141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.599558679,1 +155143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.374964954,1 +155142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.498190031,1 +155144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,7.333277836,1 +155145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.971977583,1 +155146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.822093167,1 +155147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.313503292,1 +155148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.839693644,1 +155149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.602052638,1 +155150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.6036257,1 +155151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.040015195,1 +155153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.530277363,1 +155154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.479748735,1 +155152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.906153042,1 +155155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.177961431,1 +155157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.896069159,1 +155159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.938496441,1 +155156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.590082043,1 +155158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.608246822,1 +155160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.289857853,1 +155162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.890532601,1 +155161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.021839304,1 +155164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.948452031,1 +155165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.181473986,1 +155166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.638764168,1 +155163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.076519407,1 +155167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.188124315,1 +155168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.61846006,1 +155169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.761919301,1 +155171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.414534486,1 +155170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.159103929,1 +155172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.571241419,1 +155173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.250215119,1 +155174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.355095386,1 +155175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.984700622,1 +155176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.505262079,1 +155177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.132543582,1 +155178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.017262066,1 +155180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.419901287,1 +155181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.321740139,1 +155182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.476055018,1 +155179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.550721368,1 +155183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.463566176,1 +155184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.6298267,1 +155185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.188801828,1 +155186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.062069982,1 +155189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.792630176,1 +155187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.36329485,1 +155188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.200600909,1 +155190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.198240691,1 +155191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.567994237,1 +155192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.258399856,1 +155193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.646458056,1 +155194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.380865206,1 +155195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.409699241,1 +155196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.21941028,1 +155197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.757781505,1 +155200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.286563703,1 +155201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.381764262,1 +155199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.312933849,1 +155198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.859522113,1 +155204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,7.416070108,1 +155203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,7.729101196,1 +155202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.704554067,1 +155205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.695170341,1 +155206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.691761916,1 +155208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.181744061,1 +155207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.720066452,1 +155209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.408460284,1 +155210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,7.387302785,1 +155211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.031424725,1 +155212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.255044548,1 +155213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.822135478,1 +155214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.283699409,1 +155215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.371567491,1 +155216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.683683918,1 +155218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.964513372,1 +155220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.4552594,1 +155217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.107312004,1 +155219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.579511808,1 +155221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.867867698,1 +155222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.539832398,1 +155223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.638383235,1 +155224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.459040799,1 +155225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.480200799,1 +155226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.831857876,1 +155228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.649485331,1 +155229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.554989109,1 +155227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.226565513,1 +155230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.665763781,1 +155231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.66350202,1 +155233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.198481369,1 +155232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.213921809,1 +155235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.439549839,1 +155234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.775105485,1 +155236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.888616615,1 +155238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,8.43607218,1 +155237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.903281329,1 +155239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.580445981,1 +155240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.826872165,1 +155241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.190777029,1 +155243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.004220207,1 +155242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.247725389,1 +155244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.900871566,1 +155245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.078866118,1 +155246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.001425617,1 +155247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.804444392,1 +155248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.274981425,1 +155249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.65492862,1 +155251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.182214689,1 +155250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.074224787,1 +155252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.034123815,1 +155254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.610326028,1 +155253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.891824487,1 +155255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.856523331,1 +155256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.640425802,1 +155257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,7.207650253,1 +155259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.89730341,1 +155258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.486959344,1 +155260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.639716499,1 +155261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.44947717,1 +155262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.196400511,1 +155263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.10366419,1 +155264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.892174158,1 +155265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.100013604,1 +155266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.742343319,1 +155268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.666916432,1 +155267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.517114511,1 +155269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.12828851,1 +155270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.641925684,1 +155271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.034229375,1 +155272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.393783399,1 +155273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.533696863,1 +155274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.086669222,1 +155275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.213769988,1 +155277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.92672749,1 +155276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.214266444,1 +155278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.078540407,1 +155279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.494734504,1 +155281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.924384226,1 +155280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.564304407,1 +155283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.00702819,1 +155282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.753122119,1 +155285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.674866265,1 +155286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.661958863,1 +155287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,7.495017418,1 +155288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.984389818,1 +155284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.715666551,1 +155289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.224202242,1 +155290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.076416817,1 +155291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.473297346,1 +155293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.396171729,1 +155294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,7.883803339,1 +155292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.340629355,1 +155296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.401975623,1 +155297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.543857003,1 +155295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.860694884,1 +155298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.193388566,1 +155299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.421639264,1 +155301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.239392176,1 +155300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.783865995,1 +155302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.379764364,1 +155303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.587364505,1 +155304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.201436533,1 +155305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.525125198,1 +155307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.828418362,1 +155308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.811104032,1 +155309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.73555966,1 +155306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.206119489,1 +155311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.326551656,1 +155312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.391080632,1 +155313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.61746399,1 +155310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.805973363,1 +155315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.749239268,1 +155314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.627719001,1 +155316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.275600941,1 +155317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.526811724,1 +155319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.315877696,1 +155318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.375504759,1 +155320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.994414341,1 +155321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,7.086104263,1 +155322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.426381102,1 +155323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.672607775,1 +155325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.655421923,1 +155326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.785168476,1 +155324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.471793017,1 +155327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,7.425504901,1 +155328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.339855871,1 +155329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.680670438,1 +155331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.808234936,1 +155330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.442062946,1 +155332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.647479747,1 +155334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.309945737,1 +155333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.209273573,1 +155336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.68641743,1 +155337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.974918855,1 +155338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.245213951,1 +155335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.48394504,1 +155339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.373205313,1 +155342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.444132371,1 +155340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.97435893,1 +155341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.499516776,1 +155343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.087422277,1 +155345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,8.599990807,1 +155346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.320851998,1 +155347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.253297188,1 +155348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.518752935,1 +155349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.137062035,1 +155350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.041890922,1 +155351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.419304475,1 +155344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.204211514,1 +155353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.278575711,1 +155352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.864092533,1 +155355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.368823316,1 +155356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.866237915,1 +155357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.331024947,1 +155354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.612958277,1 +155358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.143938546,1 +155359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.46071908,1 +155361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.6113812,1 +155360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.987400414,1 +155363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.415065973,1 +155364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.385847111,1 +155365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.73925322,1 +155366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.398192419,1 +155367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.412516739,1 +155368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.21661692,1 +155362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.056103962,1 +155369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.450578649,1 +155372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.812381022,1 +155371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,0.995929352,1 +155370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.43938615,1 +155373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.615644637,1 +155374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.672706229,1 +155375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.809801226,1 +155376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.990282805,1 +155377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.062956993,1 +155378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.20792853,1 +155379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.999568912,1 +155381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.413393658,1 +155380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.50795252,1 +155383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.342198095,1 +155385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.801923774,1 +155384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.692983318,1 +155382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.647082355,1 +155388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.54010575,1 +155387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.894607606,1 +155386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.797347648,1 +155389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.572117899,1 +155391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.843725971,1 +155390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.803595648,1 +155392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.067716896,1 +155393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.253911904,1 +155394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.400031798,1 +155395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.686162914,1 +155396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.677938228,1 +155398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.247773281,1 +155399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.133873302,1 +155400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.219696334,1 +155397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.302757296,1 +155401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,7.223270939,1 +155402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,7.027047351,1 +155403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.512136634,1 +155404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.7847147,1 +155405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.834236459,1 +155407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,8.102078337,1 +155406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.199762569,1 +155408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.600697994,1 +155410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.381658062,1 +155409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.158544543,1 +155411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.385948434,1 +155412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.351767288,1 +155414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.644961615,1 +155413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.260008756,1 +155415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.766105353,1 +155417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.690444292,1 +155418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.774091573,1 +155416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.301728486,1 +155419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.843478813,1 +155420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.614140688,1 +155421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.311163872,1 +155423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.96616062,1 +155422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.922470419,1 +155424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.258353066,1 +155425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.02568092,1 +155426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.057274115,1 +155427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.677581148,1 +155428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.630495562,1 +155429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.42258264,1 +155430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.235711668,1 +155431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.580063235,1 +155432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.191576598,1 +155433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.581242329,1 +155434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.330854852,1 +155435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.833249461,1 +155436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.622388262,1 +155437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.985958177,1 +155438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.55293282,1 +155439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.639996163,1 +155440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.869537739,1 +155441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.145539544,1 +155442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.977914521,1 +155443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.580595782,1 +155444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.346880384,1 +155445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.795527091,1 +155446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.867469515,1 +155448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.982034033,1 +155450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.786399518,1 +155447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.794131087,1 +155449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.597780061,1 +155451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.292177914,1 +155452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.44871164,1 +155454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.989479625,1 +155453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.959397537,1 +155455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.215989582,1 +155456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,7.276555662,1 +155457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.46781273,1 +155458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.872519906,1 +155459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.04853698,1 +155460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.828815725,1 +155461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.026600732,1 +155462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.009931182,1 +155463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.046167711,1 +155464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.368365922,1 +155465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.939271642,1 +155467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.585399563,1 +155468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.863989886,1 +155469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.37228598,1 +155466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.960030671,1 +155470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.379809502,1 +155471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.22809073,1 +155472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.078805943,1 +155475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.216106991,1 +155474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.290236468,1 +155476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.236641618,1 +155473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.973969627,1 +155478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.625373687,1 +155477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.970921144,1 +155479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.508880929,1 +155480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.088441208,1 +155482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.982036806,1 +155481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.533534722,1 +155483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.51200667,1 +155484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.134622513,1 +155485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.354525696,1 +155486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.967069294,1 +155487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.393874314,1 +155489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.276646664,1 +155490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.525293041,1 +155491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.878961191,1 +155492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.431129549,1 +155493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.068189253,1 +155488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.55334244,1 +155495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.897100962,1 +155494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.872005093,1 +155496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.60047444,1 +155497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.272274538,1 +155500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,8.520363875,1 +155498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.659561541,1 +155499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.762477421,1 +155501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.891850737,1 +155502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.165781557,1 +155503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.547779931,1 +155504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.491272861,1 +155505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.29168199,1 +155506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.235387887,1 +155507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.318815224,1 +155508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.50309336,1 +155509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.097103076,1 +155510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.773713539,1 +155512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.119647924,1 +155511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.93801048,1 +155513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.894783215,1 +155514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.151980659,1 +155516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.988723809,1 +155515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.312376994,1 +155519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.34100013,1 +155518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.420509935,1 +155517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.319564523,1 +155520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,9.931949106,1 +155522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.850016807,1 +155521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.500694718,1 +155524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.693914169,1 +155523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.098157092,1 +155525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.120693643,1 +155526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.466658983,1 +155527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.671038633,1 +155528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.937000656,1 +155529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.124924257,1 +155530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.175559561,1 +155531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.320878896,1 +155532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.074096374,1 +155534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.960699016,1 +155533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.107574298,1 +155535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.777945663,1 +155538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.006862528,1 +155537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,7.163645731,1 +155536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,8.229343179,1 +155539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.509308934,1 +155540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.767465324,1 +155541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.098240846,1 +155543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.464016907,1 +155542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.688029967,1 +155544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.774802695,1 +155546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.883361439,1 +155545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.514010941,1 +155547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.771375207,1 +155548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.5170081,1 +155550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.459865268,1 +155549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.413608286,1 +155551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.091813529,1 +155552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,7.162486256,1 +155553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,7.020091526,1 +155554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.052938891,1 +155555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.310335961,1 +155556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.693305438,1 +155558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.877638989,1 +155557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.071509574,1 +155560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.514230216,1 +155561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,7.062539566,1 +155562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.013054956,1 +155559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.312153319,1 +155564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.877410811,1 +155563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.497336944,1 +155565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.884234332,1 +155567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.364939274,1 +155568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.666059799,1 +155569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.767676399,1 +155566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.307316698,1 +155570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.457160462,1 +155572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.298346251,1 +155573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.365563425,1 +155571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.368143776,1 +155574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.443616267,1 +155575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.084171558,1 +155576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.536155431,1 +155577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.77855901,1 +155578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.676991833,1 +155579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.48023021,1 +155581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.32859533,1 +155582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.767149259,1 +155583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.399366385,1 +155584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.658354212,1 +155580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.505007661,1 +155587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.147028496,1 +155586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.521023032,1 +155585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.044477533,1 +155588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.496772445,1 +155589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.163320155,1 +155590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.130332459,1 +155591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.017151631,1 +155592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.508715876,1 +155593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.715833506,1 +155594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.3513796,1 +155595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.216562167,1 +155596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.938542719,1 +155597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.575425013,1 +155599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.767893463,1 +155598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.490861569,1 +155601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.872874001,1 +155602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,7.241551645,1 +155603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.737811456,1 +155600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.572572039,1 +155604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.042968513,1 +155605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.244069828,1 +155606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.658356734,1 +155608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.998329608,1 +155607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,7.032093016,1 +155609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,7.411416677,1 +155610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,7.831212026,1 +155612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.921344454,1 +155611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.800779339,1 +155613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.308697038,1 +155614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.169987584,1 +155616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.67907649,1 +155617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.582660229,1 +155618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.662146098,1 +155615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.731622415,1 +155619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.667040657,1 +155620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.286408718,1 +155621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.593960851,1 +155622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.399900946,1 +155623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,7.328654005,1 +155624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.086953174,1 +155625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.35898952,1 +155627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.021420622,1 +155628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.241665348,1 +155626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.730464721,1 +155629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.047101586,1 +155630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.460035777,1 +155632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.916496678,1 +155631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.165276591,1 +155633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.783212097,1 +155634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.174872905,1 +155636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.989752399,1 +155637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.794831379,1 +155638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.779399141,1 +155635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.586999138,1 +155639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,0.69533463,1 +155640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.011566396,1 +155641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.316571062,1 +155643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.687575569,1 +155644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.975400543,1 +155645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.822077473,1 +155642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,7.338852203,1 +155646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.515486627,1 +155647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.366241285,1 +155649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.018312161,1 +155648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.024355569,1 +155651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.707501535,1 +155652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.61153328,1 +155650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.004233174,1 +155653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.569442648,1 +155654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.648931189,1 +155656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.381852841,1 +155657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.849630621,1 +155658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.307613872,1 +155659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.509509189,1 +155655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.34332308,1 +155660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.086881386,1 +155663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.732684021,1 +155662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.55060858,1 +155661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.620391847,1 +155664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.292976866,1 +155666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.531909007,1 +155665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.989993505,1 +155667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.409879576,1 +155668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.721784347,1 +155669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.537390172,1 +155671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.787687013,1 +155670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.786396878,1 +155672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.706997578,1 +155673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.46573024,1 +155674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.349451857,1 +155676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.606434759,1 +155678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.003570672,1 +155677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.306128372,1 +155675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.416467568,1 +155679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.724919555,1 +155681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.508645613,1 +155682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.968490091,1 +155680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.180547618,1 +155683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.570014547,1 +155684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.647879869,1 +155687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.562693731,1 +155686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,7.039673479,1 +155685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.204921113,1 +155688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.087546525,1 +155690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.371214844,1 +155689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.090051272,1 +155691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.862614817,1 +155692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.542199619,1 +155693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.114608529,1 +155694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.514207927,1 +155697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.530223385,1 +155695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.258128284,1 +155696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.189921052,1 +155698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.960700862,1 +155699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.359225805,1 +155700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.309010222,1 +155701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.913191159,1 +155702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.414287109,1 +155703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.200807299,1 +155705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.899739231,1 +155706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.227452371,1 +155704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.577204922,1 +155707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.32691051,1 +155708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.432487916,1 +155709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.816374796,1 +155710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.373491146,1 +155711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.308147062,1 +155712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.435897004,1 +155713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.156159789,1 +155714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.322966561,1 +155716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.563037709,1 +155715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.187340409,1 +155717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.965199319,1 +155718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.469028941,1 +155720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.478680852,1 +155719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.965009253,1 +155721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.654004812,1 +155722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.50875758,1 +155723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.884372538,1 +155724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.980195281,1 +155725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.629952305,1 +155726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.830584308,1 +155728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.913859187,1 +155727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.749257001,1 +155729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.894490203,1 +155730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.624701236,1 +155731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.771568769,1 +155732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.745481279,1 +155733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.389049304,1 +155735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.366439746,1 +155734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.025843178,1 +155736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.957722842,1 +155737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.920786449,1 +155740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.709242622,1 +155739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.074798855,1 +155738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.211537669,1 +155741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.164660432,1 +155742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.746634105,1 +155744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.698107242,1 +155745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.084576617,1 +155746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.493860181,1 +155747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.984369449,1 +155748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.906266544,1 +155749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.69123844,1 +155743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.848757543,1 +155750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.711025212,1 +155751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.638629357,1 +155752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,7.401113662,1 +155755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.457462076,1 +155753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.132326773,1 +155754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.028890524,1 +155756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.761629513,1 +155758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.868236425,1 +155759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.030189903,1 +155760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.022955849,1 +155757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.163075124,1 +155761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.183178815,1 +155762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,8.017699384,1 +155764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.133888092,1 +155765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.247513024,1 +155766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.818111944,1 +155767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.165635778,1 +155768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.410968782,1 +155763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.604020285,1 +155770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.247809414,1 +155769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.236128577,1 +155772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.28191842,1 +155771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.057038675,1 +155773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.049441527,1 +155774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.307494095,1 +155775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.309740279,1 +155777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.809946209,1 +155778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.288427464,1 +155779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.651049711,1 +155780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.763201643,1 +155781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.159080695,1 +155776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.169937759,1 +155783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.955528182,1 +155785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.016917088,1 +155784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.521646497,1 +155782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.546150271,1 +155787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.88509209,1 +155788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.831585962,1 +155789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.190159263,1 +155786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.876517048,1 +155790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.953309479,1 +155791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.861428581,1 +155793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.097336067,1 +155792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.457778071,1 +155795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.015325217,1 +155796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.585351321,1 +155794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.718394102,1 +155797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.720563874,1 +155799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.330989646,1 +155798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.550271556,1 +155800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.152632202,1 +155803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.016080462,1 +155801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.502573681,1 +155804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.595195647,1 +155802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.543614548,1 +155805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.927991793,1 +155808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.513299097,1 +155807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.267036462,1 +155806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.424499427,1 +155809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.084424241,1 +155810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.706791412,1 +155812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.167817953,1 +155813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.606471853,1 +155814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.721105431,1 +155811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.053678211,1 +155815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.790897631,1 +155817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.707148714,1 +155816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.464392675,1 +155819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.978095358,1 +155820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.30120595,1 +155818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.955010174,1 +155821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.129798857,1 +155822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.192392729,1 +155823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.135645681,1 +155824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.111752872,1 +155825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.44469607,1 +155826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.644749594,1 +155828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.574645497,1 +155829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.976377993,1 +155830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.776340321,1 +155827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.439809561,1 +155831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.752825451,1 +155834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.268443939,1 +155832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.654243439,1 +155833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.041859212,1 +155836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.150625551,1 +155835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.431934727,1 +155838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.478235553,1 +155840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.005171868,1 +155837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.678131844,1 +155839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.479311508,1 +155841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.21956505,1 +155843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.286345621,1 +155842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.86782954,1 +155844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.532011373,1 +155845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.216612967,1 +155847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.747182058,1 +155846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.900890498,1 +155848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.88483872,1 +155849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.697946483,1 +155851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.787516656,1 +155850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.609031245,1 +155852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.851827349,1 +155853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.753274975,1 +155854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.112371299,1 +155855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.810750849,1 +155856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.881789564,1 +155857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.07409933,1 +155858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.029930584,1 +155859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.992340164,1 +155861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.057465149,1 +155860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.029335022,1 +155863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.892156145,1 +155865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.617553269,1 +155862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.868064644,1 +155864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.60892204,1 +155867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.730050827,1 +155866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.744360366,1 +155868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.529337161,1 +155869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.70130509,1 +155870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.220432955,1 +155871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.930511518,1 +155872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.013576926,1 +155873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.238130961,1 +155874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.254516482,1 +155876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.047510199,1 +155877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.544449931,1 +155875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.1461917,1 +155878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.690875139,1 +155879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.88163833,1 +155880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.342782857,1 +155882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.438560915,1 +155881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.469156041,1 +155883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.127659203,1 +155884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.905740783,1 +155885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.50033006,1 +155888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.639646773,1 +155887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.711177416,1 +155889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.671671025,1 +155886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.094127906,1 +155890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.668505478,1 +155891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.703449753,1 +155893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.504822171,1 +155892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.882463052,1 +155896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.188168633,1 +155894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.816830304,1 +155895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.217445176,1 +155897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.216172779,1 +155898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,7.138150016,1 +155899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.2619158,1 +155900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.069616999,1 +155901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.264449909,1 +155903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.808458476,1 +155904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.27483535,1 +155905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.102740684,1 +155902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.503504504,1 +155906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.856807385,1 +155907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.54596029,1 +155909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.836618862,1 +155910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.521662021,1 +155908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.706378986,1 +155912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,8.135402219,1 +155911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.057643733,1 +155913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.546082095,1 +155914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.688482499,1 +155915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.259948573,1 +155916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.71768317,1 +155917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.646310353,1 +155918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.519804242,1 +155920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.824839654,1 +155922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.490058268,1 +155921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,7.400790994,1 +155919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.538636093,1 +155923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,9.605464375,1 +155925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.930504948,1 +155924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.628873379,1 +155926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.85192688,1 +155927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.763750588,1 +155928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.433128669,1 +155929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.427100795,1 +155930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.552891132,1 +155931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.91140525,1 +155932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.796266917,1 +155933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.231497396,1 +155934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.039944564,1 +155936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.237180198,1 +155937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,8.154438103,1 +155935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.209579402,1 +155938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.386356152,1 +155939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.08224538,1 +155941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.86890538,1 +155940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.120447726,1 +155942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.766133604,1 +155943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.421662557,1 +155944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.125382021,1 +155945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.274824771,1 +155946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.427711315,1 +155947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.641681961,1 +155949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.861847811,1 +155948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.871489325,1 +155950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.656765079,1 +155952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.745753115,1 +155951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.901467452,1 +155953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.070469377,1 +155956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.583011811,1 +155955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.381428953,1 +155954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.089267192,1 +155959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.121490137,1 +155960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.398671113,1 +155958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.610571922,1 +155957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.480055414,1 +155962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.021946668,1 +155961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.454065874,1 +155963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.696480592,1 +155966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.113591424,1 +155965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.599498549,1 +155967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.783908709,1 +155964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.956889513,1 +155968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,7.845898641,1 +155969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.88503141,1 +155971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.681997301,1 +155970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.980947471,1 +155972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.639449788,1 +155973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.811982092,1 +155974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.309963823,1 +155975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.094122143,1 +155976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,7.922596896,1 +155977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.075520844,1 +155979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.413950729,1 +155980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.526182612,1 +155981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.764358786,1 +155978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.971652749,1 +155982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.257333209,1 +155983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.80814531,1 +155984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.812160389,1 +155985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,5.079201148,1 +155986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.073002136,1 +155988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,1.943255858,1 +155987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.9967962,1 +155989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.136106695,1 +155990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.703791353,1 +155991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,7.501462268,1 +155992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.797652983,1 +155993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.138900427,1 +155994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,2.796233537,1 +155995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.296288895,1 +155996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.710079251,1 +156000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.807096149,1 +155999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,6.653206335,1 +155998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,4.881259238,1 +155997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,6,1,3.052992326,1 +165002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.986336218,1 +165001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.874802301,1 +165003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.464979811,1 +165004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.010682177,1 +165006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.483379929,1 +165007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.821842637,1 +165005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.399881365,1 +165008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.531108563,1 +165010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,8.429344571,1 +165011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.564844603,1 +165012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.642966188,1 +165009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.196579208,1 +165014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.065370999,1 +165013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.456486113,1 +165015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.615457306,1 +165016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.573141451,1 +165017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.697188394,1 +165018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.934595868,1 +165019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.735580093,1 +165020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.679423753,1 +165022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.223016549,1 +165023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.17491067,1 +165021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.707245181,1 +165026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.670019741,1 +165025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.1441032,1 +165027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.387322652,1 +165028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.303364683,1 +165029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.671640678,1 +165024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.026595618,1 +165030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.970045321,1 +165032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.100853982,1 +165031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.411608009,1 +165034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,7.476082561,1 +165033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.08301728,1 +165035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.005617744,1 +165036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.658213966,1 +165037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.545524497,1 +165039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.433556695,1 +165038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.379413291,1 +165040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.9166794,1 +165041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.017309396,1 +165042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.004809563,1 +165043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.477881435,1 +165044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.672818548,1 +165045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.125047555,1 +165046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.201333698,1 +165048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.530672858,1 +165049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.12465013,1 +165050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,7.033772324,1 +165047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.584830527,1 +165052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.006463756,1 +165051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,7.270610437,1 +165054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.807759354,1 +165053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.198554988,1 +165056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.798782929,1 +165055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.506263648,1 +165057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,7.069218048,1 +165058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.442956715,1 +165059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.3431109,1 +165060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.354633985,1 +165062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.736471024,1 +165061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.056231177,1 +165063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.684707173,1 +165064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.272564785,1 +165065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.639293429,1 +165068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.47263283,1 +165067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.773139853,1 +165069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.955787855,1 +165066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.263897972,1 +165070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.138314767,1 +165071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.968056135,1 +165072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.622765118,1 +165074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.681075379,1 +165075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,8.811722351,1 +165073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.592498282,1 +165076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.142031107,1 +165077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.542813682,1 +165078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.516443417,1 +165079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.652475784,1 +165080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.424458541,1 +165081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.647651353,1 +165082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.739232943,1 +165084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.661386143,1 +165085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.050762236,1 +165086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,0.917459322,1 +165083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.510263651,1 +165087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.745281709,1 +165088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.931223957,1 +165089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.069710542,1 +165091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.487242794,1 +165092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.382845121,1 +165093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.94535859,1 +165090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.98426168,1 +165094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.392885968,1 +165095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.913281305,1 +165096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.044755971,1 +165100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.92051397,1 +165097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.234545678,1 +165099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.943622152,1 +165098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.510345085,1 +165101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.899021181,1 +165102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.564663933,1 +165103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.113480081,1 +165104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.384149579,1 +165105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.881166678,1 +165107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,8.163549975,1 +165108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.106657744,1 +165109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.14777441,1 +165110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.827544485,1 +165106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.750707527,1 +165111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.784294312,1 +165114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,9.101400604,1 +165113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.643359502,1 +165112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.908808568,1 +165115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.139279502,1 +165116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.979231516,1 +165117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.442961555,1 +165118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.429555912,1 +165119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.942990931,1 +165120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.717646051,1 +165121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.552943211,1 +165122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.704547705,1 +165123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.437658703,1 +165125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.40789015,1 +165126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.259675189,1 +165127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.775985116,1 +165130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.486489159,1 +165129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.393402292,1 +165124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.137474594,1 +165128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.571535291,1 +165132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.754122405,1 +165131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.039328877,1 +165133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.595015168,1 +165134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.477012811,1 +165136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.037380891,1 +165135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.751484809,1 +165138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.793772214,1 +165137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.672514198,1 +165140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.870585143,1 +165141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.163801915,1 +165142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.109975372,1 +165139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.70256042,1 +165146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.394050163,1 +165143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.871685613,1 +165144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.112852424,1 +165145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.92700057,1 +165147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.08041417,1 +165148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,8.108109247,1 +165149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.329570611,1 +165150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.556782422,1 +165151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.904772593,1 +165153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.555369825,1 +165152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.289930026,1 +165154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.151458746,1 +165155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.310746873,1 +165156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.218057888,1 +165157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.803450641,1 +165159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.50304694,1 +165158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.238843297,1 +165160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.158240581,1 +165161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.274203208,1 +165164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.904186008,1 +165163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.889844437,1 +165162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.869335796,1 +165165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.693637442,1 +165166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.648287128,1 +165167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.133747063,1 +165168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.532888718,1 +165169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.046123,1 +165170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.272251355,1 +165171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.216612316,1 +165172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.984642144,1 +165173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.79698469,1 +165176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.300066323,1 +165174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.858296697,1 +165175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.507555408,1 +165177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.425055684,1 +165179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.768269603,1 +165178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,7.811546503,1 +165180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.164016213,1 +165181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.468873479,1 +165182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.922882407,1 +165183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.012275797,1 +165185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,11.33823219,1 +165184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.447050433,1 +165186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.13777864,1 +165187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.136510943,1 +165188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.502983818,1 +165189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.84210004,1 +165190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.943046155,1 +165192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.101009603,1 +165191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.427737784,1 +165194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.686881097,1 +165195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.714241805,1 +165193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.881548419,1 +165196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.457912493,1 +165197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.990842298,1 +165198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.631143783,1 +165199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.961363967,1 +165201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.971959418,1 +165200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.836820633,1 +165202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.240869293,1 +165203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.995516957,1 +165204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.223343044,1 +165205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,7.543489202,1 +165206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.648711888,1 +165207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.875157219,1 +165208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.320680669,1 +165210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.662825004,1 +165209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.080756667,1 +165212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.030767725,1 +165213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.884708749,1 +165211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,7.348169231,1 +165215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.726887494,1 +165216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.750812569,1 +165214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.307415338,1 +165218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.573525029,1 +165217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.547779329,1 +165220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.835150515,1 +165219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.2825277,1 +165222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.048975245,1 +165223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.644689229,1 +165221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.990663891,1 +165224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,8.753734956,1 +165226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,7.81287519,1 +165227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.543711149,1 +165228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.290762266,1 +165225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.830651137,1 +165230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.727965654,1 +165231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.536605135,1 +165233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.89787026,1 +165232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.092366437,1 +165234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.312811521,1 +165229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.711670119,1 +165238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.035039333,1 +165237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.981745552,1 +165235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.963378893,1 +165236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.544570129,1 +165239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.183419294,1 +165240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.01091543,1 +165241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.11998368,1 +165242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.942835245,1 +165243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.813360794,1 +165246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.498564891,1 +165244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.47731318,1 +165245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.559591307,1 +165250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.698979155,1 +165248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.677431014,1 +165247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,7.174469381,1 +165249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.249472345,1 +165251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.983685157,1 +165253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.805191705,1 +165252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.207821233,1 +165254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.176983169,1 +165256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.474506355,1 +165255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.372739155,1 +165257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.624191742,1 +165258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.472460872,1 +165259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.601062197,1 +165260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.131481829,1 +165261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.651019851,1 +165262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.924728631,1 +165264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.104088216,1 +165265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.372904191,1 +165263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.491501407,1 +165267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.586006952,1 +165266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.038219728,1 +165269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.492312455,1 +165268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.763570424,1 +165271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.275276682,1 +165270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,7.166949961,1 +165272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.501974505,1 +165273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.72270825,1 +165274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.50118584,1 +165275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.913078903,1 +165276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,7.16663519,1 +165277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.93132719,1 +165279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.675053195,1 +165280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.359781849,1 +165281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.385367301,1 +165282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.093217298,1 +165283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.100801749,1 +165278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.431119227,1 +165284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.324382101,1 +165285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.490974977,1 +165286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.016075148,1 +165287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.453662348,1 +165288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.633997135,1 +165289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.632040069,1 +165290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.768417274,1 +165291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.967760561,1 +165293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.825067317,1 +165292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.887897832,1 +165294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.330286472,1 +165296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.540401237,1 +165295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.853729966,1 +165297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.19597168,1 +165298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.498553685,1 +165301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.696890886,1 +165299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.013110279,1 +165300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.894136158,1 +165302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.50998213,1 +165303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.541413667,1 +165304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.098504879,1 +165305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.005396192,1 +165306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.006005561,1 +165308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,10.23998066,1 +165307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.216305143,1 +165309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.258031207,1 +165310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.452177254,1 +165311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.431062161,1 +165312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.078700901,1 +165313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.692157524,1 +165315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.108087242,1 +165314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.989251042,1 +165316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.542939872,1 +165317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.267648253,1 +165319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.582146617,1 +165320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.421054258,1 +165321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.295505196,1 +165322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.647419245,1 +165318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.302278226,1 +165323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.148826157,1 +165325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.280764605,1 +165324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.335666791,1 +165326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.673177475,1 +165327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.911313489,1 +165330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.281472452,1 +165331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.05029681,1 +165328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.334074806,1 +165329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.394998294,1 +165334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.728926396,1 +165333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.336186131,1 +165336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.730228225,1 +165332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.087965447,1 +165337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.936905326,1 +165335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.402056646,1 +165338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,10.1305423,1 +165340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.923795792,1 +165339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.636583668,1 +165342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.615133055,1 +165341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.409638523,1 +165344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.711703606,1 +165343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.231021495,1 +165345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.833025472,1 +165346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.354007349,1 +165347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,7.974816445,1 +165348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.792916603,1 +165351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.934859761,1 +165349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.730986556,1 +165352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.727699994,1 +165353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.756391049,1 +165350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.298273553,1 +165355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.424005582,1 +165354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.858456787,1 +165356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.422226013,1 +165357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.715659824,1 +165358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.0777589,1 +165359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.560431448,1 +165361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.21153226,1 +165360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.814375228,1 +165362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.879762072,1 +165363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.4910266,1 +165364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.851477383,1 +165365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.64323594,1 +165367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.16719122,1 +165369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.802547289,1 +165366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.031427175,1 +165370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.270259269,1 +165371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.402075818,1 +165372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.262504093,1 +165373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.441233727,1 +165368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.129047564,1 +165375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.158404811,1 +165377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.839381161,1 +165374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.173941666,1 +165376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.024140245,1 +165379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.966258429,1 +165378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.218512665,1 +165380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.365641687,1 +165381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.401623135,1 +165382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.494496052,1 +165384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.632430289,1 +165385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,7.877801605,1 +165386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.579533913,1 +165387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.260925563,1 +165383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.294732419,1 +165388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.831298589,1 +165390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.370632977,1 +165391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.495947957,1 +165389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.409148124,1 +165392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.875623364,1 +165394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.74191578,1 +165393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.540444689,1 +165395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.685238334,1 +165396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.963381808,1 +165397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,8.985005546,1 +165398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.988182937,1 +165399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.051534524,1 +165400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.212590078,1 +165402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.422270696,1 +165403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.395191438,1 +165404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.234260216,1 +165401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.48321987,1 +165405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.852143558,1 +165406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.191810986,1 +165409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.455519093,1 +165408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.518068747,1 +165407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.347990783,1 +165410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.427172915,1 +165411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.017121401,1 +165412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.303146821,1 +165413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.727253786,1 +165414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.930167843,1 +165415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.608084322,1 +165416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,9.390120264,1 +165417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.374378867,1 +165418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.904424733,1 +165419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.08676824,1 +165421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.602732089,1 +165422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.992542909,1 +165420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.898191405,1 +165424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.412916891,1 +165423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.420748673,1 +165425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.493841385,1 +165426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.970786121,1 +165427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.873733686,1 +165428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.789770863,1 +165429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.716598735,1 +165430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.559872236,1 +165432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.481713655,1 +165431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.823462405,1 +165433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.281112515,1 +165434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.799493947,1 +165435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.225048795,1 +165436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.806561426,1 +165437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.970683304,1 +165439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.78082015,1 +165438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.297672659,1 +165441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.2096202,1 +165440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.504972417,1 +165442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.923742369,1 +165443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.578579762,1 +165444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.427572532,1 +165446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.232003925,1 +165447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.49735997,1 +165448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.938728134,1 +165445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.812912738,1 +165449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.176223569,1 +165451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.60272695,1 +165452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.574371019,1 +165450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.744508185,1 +165453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.353066358,1 +165455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.866199906,1 +165454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.714238833,1 +165457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.164040423,1 +165459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.81372646,1 +165456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.415496742,1 +165460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.776185943,1 +165461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.514746898,1 +165458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.768151471,1 +165463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.889637291,1 +165462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.934882266,1 +165464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.220062861,1 +165466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,7.878306431,1 +165467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.788177774,1 +165465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.725050667,1 +165471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.567665813,1 +165469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.383961374,1 +165468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.939555326,1 +165470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.869473395,1 +165473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.703553761,1 +165472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.524108596,1 +165474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,7.713436823,1 +165477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.572616216,1 +165476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.729286371,1 +165478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.664433439,1 +165475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.66268547,1 +165480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.235200422,1 +165481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.368880065,1 +165482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.786398951,1 +165479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.424449216,1 +165484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.616833249,1 +165483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.540108535,1 +165485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,8.40829805,1 +165486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.276227883,1 +165487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.891689681,1 +165488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.266249378,1 +165489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.092377791,1 +165490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.508620405,1 +165491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.364196413,1 +165492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.305067063,1 +165494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.528187791,1 +165495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.171536733,1 +165496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.135485212,1 +165493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.75184476,1 +165499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.865679495,1 +165500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.880039863,1 +165497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.189088646,1 +165498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.191951847,1 +165501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.659428949,1 +165503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,7.646464558,1 +165504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.825033117,1 +165502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.885392761,1 +165505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.210077363,1 +165506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.056981122,1 +165508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.576954759,1 +165509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.573831454,1 +165510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.346413843,1 +165511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.090693512,1 +165507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.195876661,1 +165512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.008333314,1 +165513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.998934645,1 +165515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,9.161350232,1 +165514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.857895143,1 +165516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.953156002,1 +165517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.799683927,1 +165519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.734048276,1 +165520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.851321875,1 +165518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,7.129476897,1 +165521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.842615514,1 +165522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.163464882,1 +165523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.447718727,1 +165524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.346548006,1 +165525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,8.222568991,1 +165526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,9.20491106,1 +165527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.823208094,1 +165528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.373938093,1 +165529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.600431584,1 +165530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.691646196,1 +165531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.484932596,1 +165532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.539509523,1 +165533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.190006229,1 +165534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.182217204,1 +165535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.636285051,1 +165537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.37398097,1 +165536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.616129367,1 +165538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.800951987,1 +165539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.055135478,1 +165540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.742317673,1 +165541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.419119412,1 +165542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.11175274,1 +165543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.859721789,1 +165546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.107822607,1 +165544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.814644888,1 +165547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.913503374,1 +165545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.066615345,1 +165548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,0.572614654,1 +165549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.647605166,1 +165550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.228030399,1 +165551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.355192989,1 +165552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.174691521,1 +165554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.489680438,1 +165553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.717219827,1 +165555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.493947798,1 +165556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.354430466,1 +165558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.110639131,1 +165557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.207022801,1 +165559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.228291374,1 +165560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,9.785093097,1 +165562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.895523219,1 +165561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.389146136,1 +165563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.391850705,1 +165564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,8.791240617,1 +165565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.451782644,1 +165567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.752894148,1 +165566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.919205126,1 +165568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.1008699,1 +165569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.211877834,1 +165571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.486415575,1 +165572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.951597307,1 +165570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.945386456,1 +165573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,8.138266433,1 +165574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,8.619186056,1 +165575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.082876087,1 +165577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.913073499,1 +165578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.061561153,1 +165579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.32731777,1 +165580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.751800326,1 +165576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.743914438,1 +165581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.106962562,1 +165582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.657255793,1 +165583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.055793845,1 +165585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.769585263,1 +165586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.46487422,1 +165587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.906580078,1 +165588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.601776361,1 +165589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.869463039,1 +165584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,7.902154176,1 +165590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.142805076,1 +165591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.399676385,1 +165593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.416226105,1 +165594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.302924268,1 +165592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.58700064,1 +165595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.460803787,1 +165596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.824095991,1 +165598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.337144384,1 +165597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.166368773,1 +165600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.128756798,1 +165599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.27632249,1 +165601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.368735536,1 +165604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,7.863333175,1 +165603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.403043957,1 +165605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.554172887,1 +165602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.213092652,1 +165606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.266081581,1 +165609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.376611328,1 +165607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.468508965,1 +165608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.556303143,1 +165610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.863821803,1 +165611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.313370406,1 +165612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.922276563,1 +165613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.636782409,1 +165614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.52170621,1 +165615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.660240988,1 +165616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.1914603,1 +165617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.93262242,1 +165618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.497752069,1 +165619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,7.296403186,1 +165621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,9.900941464,1 +165622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.817431316,1 +165624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.270093803,1 +165620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,8.211758131,1 +165623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.376522084,1 +165625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.543706522,1 +165628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.392266667,1 +165627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.756632829,1 +165626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.717266133,1 +165629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.309010382,1 +165630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.751260296,1 +165631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.914693142,1 +165632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.031111249,1 +165633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,7.11838828,1 +165634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.669979827,1 +165636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,7.227390679,1 +165635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,7.398240479,1 +165637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.668214053,1 +165639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.341328705,1 +165638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.319941797,1 +165640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.634877009,1 +165641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.469641226,1 +165642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.560258476,1 +165643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.435656829,1 +165644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.559515456,1 +165645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,7.838998857,1 +165646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.858795617,1 +165647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,8.453899016,1 +165648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.365473681,1 +165649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.291550052,1 +165650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.897712233,1 +165651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.933871274,1 +165652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.716686306,1 +165653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.544887487,1 +165654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.686104101,1 +165655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.835750281,1 +165657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.099773925,1 +165658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.526682803,1 +165656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.806160976,1 +165660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.802227381,1 +165661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.456804904,1 +165659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.408523883,1 +165662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.400145897,1 +165663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.26912778,1 +165664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.607989855,1 +165666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.350043828,1 +165665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.345530794,1 +165667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.125646375,1 +165668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.907690886,1 +165670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.477510715,1 +165669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.532673944,1 +165671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.89976964,1 +165672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.018024542,1 +165675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.225019472,1 +165674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.905508295,1 +165676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.947523286,1 +165677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.540202068,1 +165673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.047279037,1 +165678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.318235509,1 +165679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.668463492,1 +165680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.889204409,1 +165681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.819488811,1 +165682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.031731616,1 +165683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.561405684,1 +165684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.301090084,1 +165685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.251828006,1 +165686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.449966964,1 +165687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.927123441,1 +165688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.941424462,1 +165689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.409663504,1 +165690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.476331474,1 +165691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.458249314,1 +165692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.940213333,1 +165696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.35125317,1 +165694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.817251809,1 +165695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.031075905,1 +165693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.478133577,1 +165698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.085299231,1 +165699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.106659611,1 +165700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.528568768,1 +165697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.149479798,1 +165702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.747914505,1 +165703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.591091361,1 +165701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.578230752,1 +165704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.01995756,1 +165706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,8.956260913,1 +165705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.575732916,1 +165707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.240506168,1 +165708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.361285227,1 +165710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.38810712,1 +165711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.261389643,1 +165712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.879650665,1 +165713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.387887388,1 +165709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.788091464,1 +165714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,7.11634631,1 +165715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.822748066,1 +165717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.009229961,1 +165716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.052992898,1 +165719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.873084921,1 +165718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.391535822,1 +165720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.75331527,1 +165721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.072080968,1 +165722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,7.343067582,1 +165723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.140240239,1 +165724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.485537745,1 +165725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.711478883,1 +165726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.523634866,1 +165727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.516976091,1 +165729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.843984103,1 +165728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.962462727,1 +165730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.339329208,1 +165732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.583999541,1 +165733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.035001045,1 +165734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.839424401,1 +165735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.657399037,1 +165731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.911225984,1 +165736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.205634106,1 +165737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.333562831,1 +165738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.850356982,1 +165740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.420169396,1 +165741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.166431713,1 +165739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.321299358,1 +165742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.056245919,1 +165743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.748882637,1 +165745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.746140424,1 +165744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.254411221,1 +165746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.37188995,1 +165747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.565998226,1 +165750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.542190005,1 +165748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.310953913,1 +165749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.213479366,1 +165751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.613390891,1 +165752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.233997588,1 +165754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,9.804531085,1 +165755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.281882854,1 +165756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.994712882,1 +165757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.172718377,1 +165753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.332486559,1 +165758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.226956939,1 +165759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.966407149,1 +165760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.547768759,1 +165761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.109545724,1 +165762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.53257309,1 +165763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.645572837,1 +165764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.953251281,1 +165765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,8.157226398,1 +165766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.528828312,1 +165767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.572909734,1 +165769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.993346905,1 +165768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.518999972,1 +165770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.971529191,1 +165771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.00521085,1 +165773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.856983662,1 +165774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.613225271,1 +165772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.757057392,1 +165776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.308802033,1 +165775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.005146488,1 +165778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.01667715,1 +165777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.551405911,1 +165779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.196059488,1 +165780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.964569905,1 +165781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.67332541,1 +165782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.595491067,1 +165783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.821981105,1 +165787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.536938289,1 +165786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.002979468,1 +165784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.190021029,1 +165785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,8.409343669,1 +165788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.540764351,1 +165789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.20576503,1 +165790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.201753814,1 +165791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.803486958,1 +165794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.893877393,1 +165792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.985742774,1 +165793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.70202226,1 +165795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.367448421,1 +165796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,7.399925381,1 +165797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.3932553,1 +165798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.97614458,1 +165800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.413247657,1 +165799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.811992584,1 +165801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.355414645,1 +165802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.300838134,1 +165803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,7.510301962,1 +165804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.996490883,1 +165805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.677448724,1 +165806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.099337194,1 +165807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.374166083,1 +165810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.782475485,1 +165808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,8.120808999,1 +165811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.79687181,1 +165809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.989229274,1 +165814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.713704888,1 +165813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.148618266,1 +165815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.640796376,1 +165812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.304501522,1 +165816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.150205442,1 +165817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.062770289,1 +165818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.396759024,1 +165819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.344019675,1 +165821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.963809014,1 +165822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.283452055,1 +165820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.578392926,1 +165823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.965888292,1 +165826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.380550141,1 +165825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.904035254,1 +165828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,7.243866317,1 +165824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.42472154,1 +165827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.408642451,1 +165830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.680944366,1 +165829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.207304556,1 +165831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.608584894,1 +165832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.061746276,1 +165833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.723758026,1 +165835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.468832631,1 +165836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.994390147,1 +165834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.065171272,1 +165839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.808852006,1 +165838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.341041543,1 +165840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.365636275,1 +165837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.192620457,1 +165843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.823300993,1 +165842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.030362107,1 +165844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.625313889,1 +165841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.501169866,1 +165847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.747776207,1 +165846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.82013506,1 +165848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.156135041,1 +165849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.72630611,1 +165850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.636472173,1 +165851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.314394658,1 +165845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.670873219,1 +165854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.615312437,1 +165852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.639857621,1 +165855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.556757125,1 +165853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.205095324,1 +165857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.658424872,1 +165856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.796433417,1 +165858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.469477382,1 +165859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.629105503,1 +165862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.791161576,1 +165860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.46901913,1 +165863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.668116075,1 +165861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,0.962688914,1 +165865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.01014059,1 +165866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.31588219,1 +165867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.883255822,1 +165864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.327833124,1 +165868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.834094354,1 +165870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.08239732,1 +165869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,7.358657951,1 +165871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.687297878,1 +165872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.17982241,1 +165873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.529766348,1 +165875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.302089622,1 +165874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.885781828,1 +165876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.365579564,1 +165878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.321514485,1 +165879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.6585287,1 +165880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.758006725,1 +165877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.985914246,1 +165882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.012300176,1 +165881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.338111946,1 +165883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.343886353,1 +165884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,7.194344076,1 +165885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.823246324,1 +165886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.214290552,1 +165887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.2910308,1 +165888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.970291559,1 +165889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.312782787,1 +165890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.413161421,1 +165891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.800261889,1 +165892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.332910903,1 +165893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.420546497,1 +165894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.582832062,1 +165895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.277438353,1 +165897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.503977592,1 +165898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.76756855,1 +165896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.800096867,1 +165899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.89502885,1 +165902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.220948093,1 +165900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.772743491,1 +165901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.861113364,1 +165903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.63206231,1 +165904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.505953625,1 +165906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.400819098,1 +165905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.66393218,1 +165907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.584896584,1 +165908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.012319666,1 +165909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.887581719,1 +165910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.434338063,1 +165911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.79396366,1 +165913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.739848865,1 +165915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.552087288,1 +165912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,9.674463726,1 +165917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.750380726,1 +165916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.490449652,1 +165918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,7.484678315,1 +165914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.646186173,1 +165919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.544436721,1 +165920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.24397094,1 +165921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.3338398,1 +165922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.272667729,1 +165923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.985024928,1 +165924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.625025393,1 +165925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.033375394,1 +165927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.201023053,1 +165928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.790084507,1 +165926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.315298637,1 +165929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.846565455,1 +165931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.152935212,1 +165932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.092819049,1 +165933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.975038169,1 +165930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,0.676564735,1 +165934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.942468415,1 +165936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.091243619,1 +165937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.12470946,1 +165938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.096778845,1 +165939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.969322251,1 +165940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.901893287,1 +165935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.08976589,1 +165941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.34779197,1 +165943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.568283424,1 +165942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.929004067,1 +165944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.754176632,1 +165945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.739662922,1 +165946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.472772547,1 +165947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.867983911,1 +165948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.19648142,1 +165949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.323451675,1 +165950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.11726564,1 +165951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,11.28957949,1 +165953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.666130403,1 +165954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.979488598,1 +165952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.667837182,1 +165955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.418465405,1 +165956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.492152005,1 +165957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.838615447,1 +165959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.067623251,1 +165958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.40416079,1 +165960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.223073881,1 +165962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.030743406,1 +165961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,7.416060187,1 +165963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.565088212,1 +165964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.805677722,1 +165965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.756530001,1 +165966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.335326549,1 +165968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.104366085,1 +165969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.804831068,1 +165970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.887747333,1 +165967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,1.256385915,1 +165971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.032588393,1 +165972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.961406526,1 +165973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.566536175,1 +165974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.600890662,1 +165975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.902287735,1 +165977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.354576422,1 +165976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.229849781,1 +165978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.501247686,1 +165979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.199841031,1 +165980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,8.823264682,1 +165981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.672193803,1 +165984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.429765187,1 +165983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.436705932,1 +165985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.16089349,1 +165982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.284359338,1 +165987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.454180903,1 +165986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.908700314,1 +165988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.160116335,1 +165989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.19255803,1 +165991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,6.686143429,1 +165990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.457938808,1 +165993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.386465032,1 +165992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,2.30118046,1 +165994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.677815158,1 +165995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.652439046,1 +165996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.384607546,1 +165997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.609307,1 +165998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,3.144874874,1 +165999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,5.435011345,1 +166000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,6,1,4.020783774,1 +175002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,10.84527409,0.999 +175001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.482989386,0.999 +175003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.015053626,0.999 +175004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.936421253,0.999 +175006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.935193465,0.999 +175005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.888247179,0.999 +175007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.816836021,0.999 +175008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.704488444,0.999 +175009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.602042123,0.999 +175010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.735999759,0.999 +175011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.468797046,0.999 +175013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.283949758,0.999 +175012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.49104249,0.999 +175014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.710447691,0.999 +175015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.623407885,0.999 +175016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.531446626,0.999 +175017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.211162838,0.999 +175018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.579387391,0.999 +175019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.008449118,0.999 +175021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.241117498,0.999 +175022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.333036223,0.999 +175020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.781443864,0.999 +175023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.616680704,0.999 +175024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.764073476,0.999 +175025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.440387311,0.999 +175026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.439881511,0.999 +175027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.58418005,0.999 +175028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.526334463,0.999 +175029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.037182344,0.999 +175030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.898718009,0.999 +175031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.940374444,0.999 +175032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.042946923,0.999 +175033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.07331481,0.999 +175034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.229724081,0.999 +175036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.865590635,0.999 +175038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.721563437,0.999 +175040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.18485812,0.999 +175039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.264306152,0.999 +175037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.454526487,0.999 +175035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.553399154,0.999 +175041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.426829413,0.999 +175042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.618670126,0.999 +175043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.710149307,0.999 +175044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,8.946522487,0.999 +175045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.443934613,0.999 +175046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.149462812,0.999 +175047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.53765344,0.999 +175048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.875023382,0.999 +175051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,7.402785604,0.999 +175049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.351223512,0.999 +175050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.855474535,0.999 +175052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.682524192,0.999 +175055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.715266482,0.999 +175054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.308217349,0.999 +175053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.616399426,0.999 +175058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,11.3190149,0.999 +175057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.31278468,0.999 +175059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.693538777,0.999 +175056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.232191818,0.999 +175060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.140023587,0.999 +175061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.971031504,0.999 +175062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.805244316,0.999 +175066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.99568492,0.999 +175063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.635427163,0.999 +175067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.866760365,0.999 +175065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.509185018,0.999 +175064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.068690362,0.999 +175068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.549891259,0.999 +175070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.636593325,0.999 +175071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.405231638,0.999 +175072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.850493484,0.999 +175073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.02223815,0.999 +175069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.188512853,0.999 +175074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.255491197,0.999 +175077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.266019781,0.999 +175076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.306857948,0.999 +175078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.250852985,0.999 +175079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.124607895,0.999 +175075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.733985706,0.999 +175082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.717644809,0.999 +175080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.565780445,0.999 +175081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.203729668,0.999 +175083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.198388918,0.999 +175085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.332171302,0.999 +175086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,7.380275238,0.999 +175087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.052320436,0.999 +175088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.598086782,0.999 +175089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.251839297,0.999 +175084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.050129699,0.999 +175091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.203322165,0.999 +175092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.153585765,0.999 +175093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.53557708,0.999 +175094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,7.872577572,0.999 +175090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.588949523,0.999 +175095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.787703423,0.999 +175096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.413369801,0.999 +175099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.003676645,0.999 +175100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.10833985,0.999 +175098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.964037058,0.999 +175097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,7.917653626,0.999 +175102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.548398171,0.999 +175103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.337516437,0.999 +175104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.429081727,0.999 +175105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.504672519,0.999 +175101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.477182738,0.999 +175106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,11.22050101,0.999 +175107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.461305,0.999 +175108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.047609898,0.999 +175109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.79533442,0.999 +175111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.358006726,0.999 +175110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.061589054,0.999 +175113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.36255367,0.999 +175112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.553522592,0.999 +175115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.647696276,0.999 +175114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.06487348,0.999 +175116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.071161979,0.999 +175117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.668109072,0.999 +175118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.610582351,0.999 +175119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.736134394,0.999 +175121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.343091582,0.999 +175120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.159434835,0.999 +175123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.371610571,0.999 +175122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.989749821,0.999 +175124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.336473121,0.999 +175126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.510690593,0.999 +175125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.870305111,0.999 +175128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.423892753,0.999 +175130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.17571717,0.999 +175127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,7.130240331,0.999 +175129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.54957735,0.999 +175131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.17278022,0.999 +175132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.566764801,0.999 +175134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.262166215,0.999 +175133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.653940581,0.999 +175135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.978517072,0.999 +175136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.234982413,0.999 +175137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.451576869,0.999 +175138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.079721772,0.999 +175139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.646526853,0.999 +175141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.282770202,0.999 +175142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.008463594,0.999 +175140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.314802943,0.999 +175143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.883797182,0.999 +175144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.794725791,0.999 +175145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.952688408,0.999 +175146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.829685622,0.999 +175147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.43686546,0.999 +175148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,7.480512483,0.999 +175149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.116249943,0.999 +175150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.704906639,0.999 +175151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.404763206,0.999 +175152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.788168505,0.999 +175153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,0.667836511,0.999 +175154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.970459095,0.999 +175156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.977112098,0.999 +175155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.281478887,0.999 +175160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.409554277,0.999 +175157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.010049266,0.999 +175159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.964881548,0.999 +175158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.251797306,0.999 +175163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.009267822,0.999 +175162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.478838988,0.999 +175164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.20301948,0.999 +175161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.553247984,0.999 +175166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.090618155,0.999 +175165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.621518295,0.999 +175167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.331047479,0.999 +175170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,0.477808092,0.999 +175169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.152040735,0.999 +175171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.398363417,0.999 +175168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.454826303,0.999 +175172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.378371045,0.999 +175173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.517955698,0.999 +175174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.119460568,0.999 +175175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.754231005,0.999 +175176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.104157089,0.999 +175177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.418785788,0.999 +175178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,8.368445097,0.999 +175180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.315235802,0.999 +175182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.144097287,0.999 +175181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.217848954,0.999 +175179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.063042172,0.999 +175184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.83401468,0.999 +175183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,7.163083901,0.999 +175185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.347766217,0.999 +175189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.688942478,0.999 +175186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.616432226,0.999 +175187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.191786782,0.999 +175188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.614884957,0.999 +175190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.730836063,0.999 +175192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.864308971,0.999 +175191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,7.042603056,0.999 +175193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.276758829,0.999 +175194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.059045794,0.999 +175195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.848603128,0.999 +175196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.06047173,0.999 +175197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.794656282,0.999 +175198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.677683866,0.999 +175199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.903403747,0.999 +175201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.576937733,0.999 +175202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.611500981,0.999 +175204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.551138801,0.999 +175203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.831915545,0.999 +175200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.57468045,0.999 +175205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,8.637096564,0.999 +175206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.382160124,0.999 +175208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,9.632882738,0.999 +175207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.969554831,0.999 +175209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,7.288560944,0.999 +175210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.09882045,0.999 +175211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,10.4361955,0.999 +175212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.627454121,0.999 +175213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.391906936,0.999 +175214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.353565779,0.999 +175215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.337850415,0.999 +175218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.108928812,0.999 +175217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.437329517,0.999 +175216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.812659083,0.999 +175219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.036299773,0.999 +175220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.24455509,0.999 +175221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.715287005,0.999 +175223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.667358711,0.999 +175222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.930356794,0.999 +175224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.005610534,0.999 +175225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.399973809,0.999 +175226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.950218242,0.999 +175227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.866015828,0.999 +175228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.158399368,0.999 +175230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.047480953,0.999 +175229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.351714192,0.999 +175231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.760033347,0.999 +175232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.11574974,0.999 +175234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.196477092,0.999 +175233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,8.314873912,0.999 +175236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.219338764,0.999 +175235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,7.965714577,0.999 +175237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.480773581,0.999 +175238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.825935431,0.999 +175239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.173827078,0.999 +175240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.204616341,0.999 +175241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.666467103,0.999 +175242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.207562763,0.999 +175243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.559077986,0.999 +175244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.712708908,0.999 +175245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.651748621,0.999 +175246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.604044932,0.999 +175247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.588296777,0.999 +175249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.433269377,0.999 +175250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.196221736,0.999 +175253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,8.317748674,0.999 +175252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.634491481,0.999 +175254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.115254698,0.999 +175255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.550009918,0.999 +175248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.965459532,0.999 +175257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.082201653,0.999 +175256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.294102518,0.999 +175251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.739829091,0.999 +175258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.914873333,0.999 +175259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.452290074,0.999 +175260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.167161634,0.999 +175261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.997729717,0.999 +175262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.424587971,0.999 +175265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.496580606,0.999 +175266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.546278868,0.999 +175263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.954544419,0.999 +175264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.953817414,0.999 +175267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.596590128,0.999 +175270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.581310624,0.999 +175269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.023654909,0.999 +175268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.63909308,0.999 +175272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,7.962224782,0.999 +175273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.712772409,0.999 +175271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.438122183,0.999 +175276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.895113421,0.999 +175275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.16511766,0.999 +175274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.457176973,0.999 +175280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.234758206,0.999 +175277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.04329135,0.999 +175278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.429659953,0.999 +175279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.033918651,0.999 +175281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.750682426,0.999 +175282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.266120122,0.999 +175284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.463122042,0.999 +175286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.673171417,0.999 +175283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.683555758,0.999 +175287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.490688372,0.999 +175289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.5753228,0.999 +175285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.453564877,0.999 +175290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.957863278,0.999 +175288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.482225751,0.999 +175291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.590490559,0.999 +175292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.820082847,0.999 +175294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,0.872765831,0.999 +175296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,10.12240879,0.999 +175297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.39848943,0.999 +175295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.768974034,0.999 +175293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.684900589,0.999 +175298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.8708186,0.999 +175300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.36279661,0.999 +175299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.158717765,0.999 +175301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.130245556,0.999 +175303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.443368135,0.999 +175304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.612073259,0.999 +175305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.496510273,0.999 +175306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.793633826,0.999 +175308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.398457822,0.999 +175307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.675520017,0.999 +175302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.512546833,0.999 +175312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.725061943,0.999 +175311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.365910739,0.999 +175310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.79558845,0.999 +175309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.232045647,0.999 +175313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.19663483,0.999 +175314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.989255087,0.999 +175315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.117459118,0.999 +175316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.678603547,0.999 +175317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.750829457,0.999 +175318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.223331628,0.999 +175320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.876769305,0.999 +175319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.118785708,0.999 +175323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.247954667,0.999 +175324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.10310011,0.999 +175321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.216722899,0.999 +175322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.82162817,0.999 +175326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.071961811,0.999 +175325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.079142724,0.999 +175327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.77249048,0.999 +175328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.465234517,0.999 +175329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.026923551,0.999 +175330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,8.239352703,0.999 +175332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.83664102,0.999 +175331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.389720088,0.999 +175333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.890633006,0.999 +175334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.181836662,0.999 +175335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.727435035,0.999 +175337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,9.513352372,0.999 +175338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,10.67014161,0.999 +175340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.019155494,0.999 +175336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.57593605,0.999 +175339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.993368767,0.999 +175341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.568217141,0.999 +175343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.459274171,0.999 +175344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.919165567,0.999 +175342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.634167247,0.999 +175345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.938435167,0.999 +175346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.855077036,0.999 +175347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.533486206,0.999 +175349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.415212399,0.999 +175348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.625065989,0.999 +175350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.505600868,0.999 +175351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.692178807,0.999 +175352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.85974028,0.999 +175353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.115903545,0.999 +175356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.952282904,0.999 +175357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.537804141,0.999 +175355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.640579016,0.999 +175354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.548465508,0.999 +175358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.763786455,0.999 +175359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.573385897,0.999 +175360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.358825756,0.999 +175361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.204370841,0.999 +175362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.209522765,0.999 +175363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.527814995,0.999 +175364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.781767577,0.999 +175366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.758822003,0.999 +175365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.076415759,0.999 +175367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.130724372,0.999 +175368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.278311531,0.999 +175370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.371647628,0.999 +175369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.014983881,0.999 +175371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.8997032,0.999 +175372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.159580705,0.999 +175374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.066208885,0.999 +175373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.067039727,0.999 +175375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.83993689,0.999 +175376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.254986417,0.999 +175377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.509307749,0.999 +175378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.350312871,0.999 +175379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.763275665,0.999 +175380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.182647185,0.999 +175381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.893622101,0.999 +175382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.064765669,0.999 +175383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.485062863,0.999 +175384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.920056953,0.999 +175385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.972583332,0.999 +175387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.280270215,0.999 +175388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.87896956,0.999 +175389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.370389445,0.999 +175386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.072815257,0.999 +175390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.553282242,0.999 +175391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.458270748,0.999 +175392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.269694108,0.999 +175394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.189444557,0.999 +175395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.791317565,0.999 +175396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.242067446,0.999 +175393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.233685298,0.999 +175398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.611105664,0.999 +175397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.963052223,0.999 +175399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,7.654780629,0.999 +175401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.142462109,0.999 +175402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.602199349,0.999 +175403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.508492394,0.999 +175400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.420033519,0.999 +175406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.055883207,0.999 +175404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.406581976,0.999 +175405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.398903564,0.999 +175407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.122357811,0.999 +175408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.220402126,0.999 +175409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.494305505,0.999 +175410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.63014339,0.999 +175413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.96063901,0.999 +175412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.401630187,0.999 +175414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.420525796,0.999 +175415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.328059446,0.999 +175417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.887228417,0.999 +175411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.606919811,0.999 +175416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.945599596,0.999 +175420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.476075194,0.999 +175418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.063445814,0.999 +175419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.162367364,0.999 +175421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.308616783,0.999 +175423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.243151099,0.999 +175422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.969522098,0.999 +175424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.714776247,0.999 +175425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.32259236,0.999 +175426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.729222675,0.999 +175428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.011676835,0.999 +175429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.678032948,0.999 +175427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.023273235,0.999 +175431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.418123083,0.999 +175430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.486321731,0.999 +175432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.396348475,0.999 +175433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.434966032,0.999 +175435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.237370397,0.999 +175436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.639341462,0.999 +175434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.545451015,0.999 +175437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.09993078,0.999 +175438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.313076855,0.999 +175439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.371723286,0.999 +175440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.850178404,0.999 +175442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.862541934,0.999 +175441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.190722869,0.999 +175443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,7.422175776,0.999 +175444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.94154116,0.999 +175445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,8.280618761,0.999 +175448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.119832468,0.999 +175446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.221786732,0.999 +175447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.738800502,0.999 +175449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.110194402,0.999 +175450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.121958946,0.999 +175452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.213939884,0.999 +175451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.833314445,0.999 +175453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,10.26675493,0.999 +175454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.579584094,0.999 +175455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.642998055,0.999 +175456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.782454348,0.999 +175458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.299909674,0.999 +175457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.416756865,0.999 +175459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.75809925,0.999 +175460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.670777674,0.999 +175461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.194396691,0.999 +175462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.674416183,0.999 +175463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.485899928,0.999 +175465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.079169608,0.999 +175467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.064181837,0.999 +175468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.977916499,0.999 +175469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.866157893,0.999 +175464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.569320227,0.999 +175466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.767246259,0.999 +175470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.487593275,0.999 +175471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.209616333,0.999 +175473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.591665639,0.999 +175474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.961196995,0.999 +175475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,8.577989428,0.999 +175472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.89510853,0.999 +175476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.410854824,0.999 +175479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.591296605,0.999 +175480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,7.898317572,0.999 +175477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.764657888,0.999 +175478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.33309733,0.999 +175482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.367747097,0.999 +175481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.091828816,0.999 +175483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.051330253,0.999 +175484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.863853933,0.999 +175487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.149271841,0.999 +175485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.164788256,0.999 +175488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.993396489,0.999 +175489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.978274061,0.999 +175486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.445939742,0.999 +175490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.992295238,0.999 +175492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,7.709266869,0.999 +175491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.320750372,0.999 +175493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.769045836,0.999 +175494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.712880895,0.999 +175495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.378848588,0.999 +175496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.728531998,0.999 +175497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.814456587,0.999 +175499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.610132993,0.999 +175498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.956866505,0.999 +175500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.886763413,0.999 +175501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.238692901,0.999 +175502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.456030439,0.999 +175504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.330948835,0.999 +175505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.143586612,0.999 +175506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.630607019,0.999 +175503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.829036107,0.999 +175510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.052128188,0.999 +175507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.171353613,0.999 +175508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.027614682,0.999 +175509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.644823139,0.999 +175511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.598276551,0.999 +175512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.546892657,0.999 +175513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.723100145,0.999 +175514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.872883556,0.999 +175516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.753583309,0.999 +175515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.75680759,0.999 +175517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.253096567,0.999 +175518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.677231342,0.999 +175519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.461831251,0.999 +175522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.62375618,0.999 +175521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.233298216,0.999 +175520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,7.092597563,0.999 +175523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.381706377,0.999 +175524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.617068667,0.999 +175526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.109600147,0.999 +175527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.709015661,0.999 +175525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.347619441,0.999 +175528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.418588535,0.999 +175530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.34116507,0.999 +175529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,8.212527467,0.999 +175531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.469925699,0.999 +175532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.400524065,0.999 +175533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.452287584,0.999 +175534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.840696209,0.999 +175535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,7.507438488,0.999 +175536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.039386792,0.999 +175537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.149557382,0.999 +175539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.369285234,0.999 +175540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.189067533,0.999 +175538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.174140855,0.999 +175541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.101451921,0.999 +175542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.947734326,0.999 +175544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.28414115,0.999 +175543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.959656628,0.999 +175545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.503278687,0.999 +175546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.98239704,0.999 +175547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.607594676,0.999 +175548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.629494861,0.999 +175549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.956673978,0.999 +175550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.512359724,0.999 +175551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.291168249,0.999 +175552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.935134139,0.999 +175554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.97297522,0.999 +175553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.627206584,0.999 +175556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.714313361,0.999 +175557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.411078232,0.999 +175558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.850499176,0.999 +175555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.34395377,0.999 +175559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.107782982,0.999 +175560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.505895309,0.999 +175561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.169291952,0.999 +175562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.442965081,0.999 +175563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.397809802,0.999 +175565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.723131714,0.999 +175564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,7.902663118,0.999 +175566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.958955193,0.999 +175568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.924354851,0.999 +175567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.801796662,0.999 +175569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.992267984,0.999 +175570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.942963517,0.999 +175571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.843385064,0.999 +175574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.060919622,0.999 +175575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.099875277,0.999 +175576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.48571591,0.999 +175572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.925189263,0.999 +175577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.02643189,0.999 +175573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.863022921,0.999 +175580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.592285049,0.999 +175581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.937812469,0.999 +175578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.721482363,0.999 +175579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,-0.217661715,0.999 +175583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.544163196,0.999 +175582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.282444521,0.999 +175585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.923867463,0.999 +175586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,0.370990211,0.999 +175584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.593130411,0.999 +175587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.229178682,0.999 +175588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.760194041,0.999 +175591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.33529435,0.999 +175590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.790976746,0.999 +175593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.727897185,0.999 +175589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.616964975,0.999 +175592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.061327928,0.999 +175594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.598400639,0.999 +175595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.215819276,0.999 +175596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.794728719,0.999 +175597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.919402477,0.999 +175598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.077759217,0.999 +175600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.624112034,0.999 +175601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.142164752,0.999 +175599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.943554986,0.999 +175602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.618951988,0.999 +175603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.48598282,0.999 +175604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.99668144,0.999 +175605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,7.281223336,0.999 +175609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.176900872,0.999 +175606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.296077744,0.999 +175607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,7.140813608,0.999 +175610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,7.182066882,0.999 +175608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.901625224,0.999 +175611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.059600078,0.999 +175612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.141431104,0.999 +175614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.818370992,0.999 +175616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.597442281,0.999 +175613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.192639606,0.999 +175615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.071077499,0.999 +175617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,8.44950755,0.999 +175618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.238511101,0.999 +175619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.801094706,0.999 +175620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.217105009,0.999 +175621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.571443487,0.999 +175623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.350374011,0.999 +175624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.626669939,0.999 +175625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.416995765,0.999 +175622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.253858304,0.999 +175626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.170338594,0.999 +175627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.036910284,0.999 +175628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.842092679,0.999 +175632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.263573752,0.999 +175631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.260566614,0.999 +175629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.903948885,0.999 +175633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.294366776,0.999 +175630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.34159824,0.999 +175634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,8.406103863,0.999 +175635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.850882449,0.999 +175636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,0.447901808,0.999 +175637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.860852986,0.999 +175639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.085556956,0.999 +175638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.646611401,0.999 +175641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.627870673,0.999 +175642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.484845301,0.999 +175643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.862010475,0.999 +175644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.000135485,0.999 +175640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.329540366,0.999 +175648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.587211352,0.999 +175646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.42987222,0.999 +175645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.763274659,0.999 +175647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.38608912,0.999 +175649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.769653826,0.999 +175651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.834276805,0.999 +175650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.576788087,0.999 +175652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.504523477,0.999 +175653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.332585361,0.999 +175654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,9.824401116,0.999 +175655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.307117287,0.999 +175656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.985012111,0.999 +175658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.451784989,0.999 +175659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.361410324,0.999 +175660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,9.37062938,0.999 +175657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.883960469,0.999 +175661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.06786811,0.999 +175663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.392878854,0.999 +175664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.61982387,0.999 +175662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.38533473,0.999 +175665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.234407207,0.999 +175666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.871030453,0.999 +175667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.777269225,0.999 +175668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.608775516,0.999 +175669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.066224399,0.999 +175671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.628874508,0.999 +175670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.798477146,0.999 +175673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.812925621,0.999 +175672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.6677027,0.999 +175674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,8.493963494,0.999 +175675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.647526802,0.999 +175677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.203853809,0.999 +175676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.54422677,0.999 +175678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.413646252,0.999 +175679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.716089269,0.999 +175681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.722817402,0.999 +175680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.608809835,0.999 +175682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.508094505,0.999 +175683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.682268571,0.999 +175684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.001769873,0.999 +175686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.441963413,0.999 +175685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.790091949,0.999 +175688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.917934084,0.999 +175687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.406366187,0.999 +175689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.487138693,0.999 +175690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.340099811,0.999 +175691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.680563634,0.999 +175692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.33659614,0.999 +175694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.814998617,0.999 +175693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.456848541,0.999 +175695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.74998487,0.999 +175697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.022404623,0.999 +175696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.99912143,0.999 +175698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.509099091,0.999 +175699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.93616458,0.999 +175701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.546603412,0.999 +175702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.86460506,0.999 +175700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.120910534,0.999 +175703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.437823133,0.999 +175705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.304414021,0.999 +175704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.811819317,0.999 +175706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.052571033,0.999 +175707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.686151609,0.999 +175708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.035402965,0.999 +175709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.631497926,0.999 +175710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.573024101,0.999 +175711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.593157285,0.999 +175712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.49575224,0.999 +175713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.826859331,0.999 +175715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.975959769,0.999 +175717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.767006477,0.999 +175716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,11.81213068,0.999 +175714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.292862752,0.999 +175718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.417135244,0.999 +175720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.054832236,0.999 +175719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.368311056,0.999 +175721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.348350455,0.999 +175722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.523956782,0.999 +175725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.665226231,0.999 +175724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.249093804,0.999 +175723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.510945717,0.999 +175726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.904377737,0.999 +175727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.870790021,0.999 +175729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.107475872,0.999 +175730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.232824951,0.999 +175731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,7.941405463,0.999 +175732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.816198536,0.999 +175733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,8.057172874,0.999 +175728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.010557319,0.999 +175734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.335319425,0.999 +175735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.827173892,0.999 +175737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.755152473,0.999 +175736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.15873989,0.999 +175740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.541052056,0.999 +175738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.751964568,0.999 +175739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.515249839,0.999 +175741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.705077661,0.999 +175744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.619907287,0.999 +175743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.769792398,0.999 +175742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.455190348,0.999 +175745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.108814177,0.999 +175746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.643279785,0.999 +175747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.974158485,0.999 +175749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.243211417,0.999 +175750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.690131,0.999 +175751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.632958029,0.999 +175748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.579969219,0.999 +175752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.641134213,0.999 +175755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,7.142276908,0.999 +175754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.201224798,0.999 +175753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.189870303,0.999 +175756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.597699035,0.999 +175758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.060222532,0.999 +175759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.802109825,0.999 +175757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.057263475,0.999 +175760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.6946077,0.999 +175761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.653700617,0.999 +175762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.390350582,0.999 +175764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.817921514,0.999 +175765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.947401787,0.999 +175766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.218958429,0.999 +175763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.817216638,0.999 +175767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.122757358,0.999 +175770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.395839171,0.999 +175768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.521502433,0.999 +175769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.181780924,0.999 +175771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.587460645,0.999 +175772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.730925291,0.999 +175773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.551415689,0.999 +175774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.216057012,0.999 +175775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.453791699,0.999 +175777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.653777469,0.999 +175776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.23946331,0.999 +175778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.957156832,0.999 +175779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.514834773,0.999 +175780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.696115005,0.999 +175782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.184841827,0.999 +175783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.573055776,0.999 +175781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.589270242,0.999 +175784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.783830782,0.999 +175785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.370978438,0.999 +175786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.413499645,0.999 +175787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.215457821,0.999 +175789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.055458844,0.999 +175788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.069841325,0.999 +175790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.760015524,0.999 +175791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.27687445,0.999 +175793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.418779033,0.999 +175792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.778981705,0.999 +175794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.668189651,0.999 +175797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.069986862,0.999 +175796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.388381085,0.999 +175798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.388884558,0.999 +175795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.334110763,0.999 +175799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.418430397,0.999 +175800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.057627733,0.999 +175801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.555951275,0.999 +175803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.587368971,0.999 +175804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.638147018,0.999 +175802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.216289949,0.999 +175806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.504026287,0.999 +175805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.74190046,0.999 +175807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.831371252,0.999 +175808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.54555671,0.999 +175810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.561118823,0.999 +175809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.062001009,0.999 +175811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.140546179,0.999 +175812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.86722932,0.999 +175813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.925529402,0.999 +175814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.338526433,0.999 +175815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,0.619154378,0.999 +175816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.13029633,0.999 +175817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.795488585,0.999 +175818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.511982598,0.999 +175819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.176232296,0.999 +175820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.901397638,0.999 +175821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.739842232,0.999 +175822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.028214666,0.999 +175823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.682388371,0.999 +175824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.915638062,0.999 +175825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.20025039,0.999 +175826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.668426195,0.999 +175827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.959452943,0.999 +175828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.775208775,0.999 +175829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.456052039,0.999 +175830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.233104406,0.999 +175831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.200757253,0.999 +175832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.622167806,0.999 +175833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.599537041,0.999 +175834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,8.251215427,0.999 +175835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.755065582,0.999 +175836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.934460195,0.999 +175837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.560601617,0.999 +175839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.056304393,0.999 +175838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.999204702,0.999 +175841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.361466193,0.999 +175840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.975243933,0.999 +175842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.162800855,0.999 +175843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.437149439,0.999 +175845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.428205481,0.999 +175844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.722666783,0.999 +175846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.068934519,0.999 +175847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.012985145,0.999 +175849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.435390954,0.999 +175850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.871505627,0.999 +175851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.743857664,0.999 +175852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.137579642,0.999 +175853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.986266239,0.999 +175854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,7.608968656,0.999 +175848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.664023738,0.999 +175855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.444921011,0.999 +175857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.308612701,0.999 +175856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,8.058062456,0.999 +175858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.171198257,0.999 +175861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.630098789,0.999 +175859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.932305925,0.999 +175860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.653723249,0.999 +175862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.122868039,0.999 +175863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.014988882,0.999 +175864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.272020433,0.999 +175865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.70810008,0.999 +175866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.291047492,0.999 +175867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.703742398,0.999 +175868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.781205551,0.999 +175869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,8.379691975,0.999 +175872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.037223119,0.999 +175871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.28623753,0.999 +175873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.666491731,0.999 +175870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,8.738333498,0.999 +175875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.039537815,0.999 +175876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.300523628,0.999 +175874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.674142695,0.999 +175877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.526696881,0.999 +175879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.968540488,0.999 +175878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.003262299,0.999 +175880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.214377008,0.999 +175882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.67708359,0.999 +175881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.629915328,0.999 +175883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.43065264,0.999 +175884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.558024655,0.999 +175885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.630575387,0.999 +175887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.777582566,0.999 +175888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.959301352,0.999 +175886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.65818615,0.999 +175890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.57028444,0.999 +175889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.026348322,0.999 +175891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.60031664,0.999 +175892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.720025968,0.999 +175894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.471836143,0.999 +175893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.6585079,0.999 +175895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.371181758,0.999 +175896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.877462256,0.999 +175897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.205853388,0.999 +175898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.810360145,0.999 +175899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.47739413,0.999 +175902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.010661813,0.999 +175901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.739272186,0.999 +175900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.520864113,0.999 +175903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.225255347,0.999 +175905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.659705967,0.999 +175904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.816427563,0.999 +175906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.496126964,0.999 +175907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.454670013,0.999 +175908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.40348434,0.999 +175909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.473114985,0.999 +175911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.547363814,0.999 +175910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.32484018,0.999 +175912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.182082269,0.999 +175913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.937543361,0.999 +175914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.370654607,0.999 +175915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.426388325,0.999 +175916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.504343488,0.999 +175918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.560292064,0.999 +175917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.110024571,0.999 +175919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.51964541,0.999 +175921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.87130001,0.999 +175922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.993236988,0.999 +175920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.689801392,0.999 +175924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.819217165,0.999 +175925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.379393886,0.999 +175923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,8.274987686,0.999 +175926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.576120334,0.999 +175927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.208267436,0.999 +175928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.268244519,0.999 +175930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.246122997,0.999 +175929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.878298446,0.999 +175931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.522117355,0.999 +175932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.820971325,0.999 +175933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.33960818,0.999 +175934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.374594175,0.999 +175935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.127627457,0.999 +175936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,9.384734337,0.999 +175937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.555403187,0.999 +175938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.707497345,0.999 +175939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.415495784,0.999 +175940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.074542796,0.999 +175941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.570225451,0.999 +175943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,7.005609489,0.999 +175944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.800582596,0.999 +175945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.825827647,0.999 +175946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.298296546,0.999 +175942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.081268714,0.999 +175947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.876619517,0.999 +175948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.461465609,0.999 +175949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,7.297365811,0.999 +175950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.019401084,0.999 +175953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.539163367,0.999 +175951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.09558239,0.999 +175952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.921120562,0.999 +175954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.733266108,0.999 +175955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.977960479,0.999 +175956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.637157824,0.999 +175957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.956857183,0.999 +175959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.938551509,0.999 +175960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.158725595,0.999 +175961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.160532952,0.999 +175962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.471342124,0.999 +175958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.168581292,0.999 +175963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,7.379330058,0.999 +175964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.832628218,0.999 +175966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.804609297,0.999 +175965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.241302646,0.999 +175967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,0.464490911,0.999 +175968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.908770409,0.999 +175969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.272657554,0.999 +175970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.256094733,0.999 +175972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.189494497,0.999 +175971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,8.09771359,0.999 +175974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.438766522,0.999 +175973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.709522291,0.999 +175975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.547570239,0.999 +175976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.438145542,0.999 +175977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.119495572,0.999 +175979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.680984886,0.999 +175980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.418720632,0.999 +175978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.555078074,0.999 +175983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.874787115,0.999 +175982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.977830454,0.999 +175981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.966967002,0.999 +175984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.319840706,0.999 +175986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.870151853,0.999 +175987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.975710445,0.999 +175985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.233820327,0.999 +175988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,4.905379847,0.999 +175989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,5.538749924,0.999 +175990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.471317056,0.999 +175991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.722416273,0.999 +175992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.752237578,0.999 +175993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,1.507164392,0.999 +175994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.179210728,0.999 +175995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.327415358,0.999 +175997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.522729119,0.999 +175996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.751189717,0.999 +175999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,2.846861322,0.999 +175998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,3.266558194,0.999 +176000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,6,1,6.125046297,0.999 +185002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,10.27256031,0.997 +185001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,11.98807743,0.997 +185004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.74936825,0.997 +185003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.286065252,0.997 +185005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.047186194,0.997 +185006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.487344957,0.997 +185007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.815785258,0.997 +185008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.523188053,0.997 +185010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.452665499,0.997 +185009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.533453327,0.997 +185011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.322132333,0.997 +185013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,11.73084543,0.997 +185012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.059853951,0.997 +185014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.73041304,0.997 +185015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.650696407,0.997 +185016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.276218519,0.997 +185018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.329075719,0.997 +185019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.329486076,0.997 +185017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.440755566,0.997 +185020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.739570857,0.997 +185022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.345538938,0.997 +185021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.745332975,0.997 +185023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.695729705,0.997 +185024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,8.369399126,0.997 +185026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.123579551,0.997 +185025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.749795445,0.997 +185028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.555862576,0.997 +185029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.939649045,0.997 +185030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.308121453,0.997 +185031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.066946849,0.997 +185032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.445863089,0.997 +185033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.010802312,0.997 +185027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.928759243,0.997 +185035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.42407878,0.997 +185036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.180509667,0.997 +185037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.542526619,0.997 +185034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.2313772,0.997 +185038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.270999104,0.997 +185041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.823030603,0.997 +185039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.445275755,0.997 +185040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.404372496,0.997 +185044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.22455622,0.997 +185042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.168935069,0.997 +185045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.616330759,0.997 +185047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.002797505,0.997 +185046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.916007788,0.997 +185043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.347407296,0.997 +185049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.305963878,0.997 +185050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.528279368,0.997 +185051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.524168277,0.997 +185048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.908591285,0.997 +185052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.869552462,0.997 +185054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.673751508,0.997 +185053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.943317402,0.997 +185055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.219338191,0.997 +185057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.290067159,0.997 +185058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.962095011,0.997 +185056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.469647412,0.997 +185059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.80025463,0.997 +185061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.646095615,0.997 +185062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.068187863,0.997 +185060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.870672875,0.997 +185063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.970087098,0.997 +185064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.953201742,0.997 +185065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.814350562,0.997 +185066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.452924532,0.997 +185069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.210786787,0.997 +185067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.46771577,0.997 +185070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.580808476,0.997 +185068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.912998702,0.997 +185071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.656764857,0.997 +185073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.960332393,0.997 +185072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.668809558,0.997 +185074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.300330267,0.997 +185075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.516164088,0.997 +185077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.696950401,0.997 +185078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.95324661,0.997 +185079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.357242793,0.997 +185076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.585729624,0.997 +185081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.871564604,0.997 +185082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.509653432,0.997 +185083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.795444167,0.997 +185084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.856113567,0.997 +185080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.35760705,0.997 +185086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.232171172,0.997 +185085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.464187355,0.997 +185087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.689738051,0.997 +185088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.893788397,0.997 +185089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.815618123,0.997 +185090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.701633967,0.997 +185091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.543123864,0.997 +185092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.588719185,0.997 +185094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.565322969,0.997 +185095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.209165174,0.997 +185093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.444380047,0.997 +185096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.789605241,0.997 +185097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.230778166,0.997 +185098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.623563553,0.997 +185100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.831101654,0.997 +185099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.251748431,0.997 +185101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.812262216,0.997 +185104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,8.647159238,0.997 +185103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.501878531,0.997 +185102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,8.385161686,0.997 +185105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.530535602,0.997 +185106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.958055469,0.997 +185107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.623008576,0.997 +185108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,0.892314005,0.997 +185109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.398334954,0.997 +185112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.566336826,0.997 +185111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.887482906,0.997 +185113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.093674812,0.997 +185114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.154401224,0.997 +185116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.649972345,0.997 +185110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.734776502,0.997 +185115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.517224608,0.997 +185118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.676630455,0.997 +185119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.531942973,0.997 +185117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.740101536,0.997 +185120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.656064881,0.997 +185121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.057469156,0.997 +185122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.441080368,0.997 +185123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.334425627,0.997 +185125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.269404297,0.997 +185124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.045031876,0.997 +185126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.05437467,0.997 +185127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.976646257,0.997 +185128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.836555013,0.997 +185131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.538461768,0.997 +185129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,8.549442725,0.997 +185130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.485074334,0.997 +185132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.523508314,0.997 +185133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,8.65377265,0.997 +185134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.331659125,0.997 +185135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.233076022,0.997 +185136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.140957208,0.997 +185137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.527341052,0.997 +185138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.338963173,0.997 +185139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.715421556,0.997 +185140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.831271952,0.997 +185141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.689893899,0.997 +185142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.505797584,0.997 +185143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.094571767,0.997 +185144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.317262318,0.997 +185145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.714769466,0.997 +185148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.299128924,0.997 +185146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.516219672,0.997 +185149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.508635621,0.997 +185147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,0.909631212,0.997 +185150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.264346,0.997 +185152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.608252723,0.997 +185153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.557152655,0.997 +185154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,8.544289095,0.997 +185155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.713724368,0.997 +185156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.720454319,0.997 +185157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,0.763466571,0.997 +185158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.99139563,0.997 +185159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.168250772,0.997 +185151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.002825625,0.997 +185160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,0.536118024,0.997 +185163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.719470905,0.997 +185161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.45169787,0.997 +185162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.304392265,0.997 +185164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.731684274,0.997 +185165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.765847588,0.997 +185166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.13197731,0.997 +185167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.098862215,0.997 +185168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.171687875,0.997 +185170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.973140127,0.997 +185171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.944660274,0.997 +185172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.118221172,0.997 +185173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.493062839,0.997 +185174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.60438976,0.997 +185169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.041597854,0.997 +185175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.836986987,0.997 +185177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.411921728,0.997 +185178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.042541913,0.997 +185176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.250718655,0.997 +185179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,8.431345607,0.997 +185180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.135544915,0.997 +185181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.135378878,0.997 +185182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.455652494,0.997 +185183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.838483981,0.997 +185184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.579298098,0.997 +185185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.289655271,0.997 +185186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.499815532,0.997 +185187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.485130537,0.997 +185188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.26389467,0.997 +185190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.290423733,0.997 +185191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.802892544,0.997 +185192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.783134599,0.997 +185189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.958023164,0.997 +185194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,0.928481515,0.997 +185193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,8.301803863,0.997 +185195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.524875081,0.997 +185196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.510322211,0.997 +185197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.009004078,0.997 +185198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.414206282,0.997 +185199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.769278773,0.997 +185200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.293706207,0.997 +185201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.940922559,0.997 +185202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.925717858,0.997 +185203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.370801953,0.997 +185204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.872511317,0.997 +185205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.374009678,0.997 +185206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.559437262,0.997 +185207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.676683449,0.997 +185210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.768986629,0.997 +185209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.606006162,0.997 +185208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.940933902,0.997 +185211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.980352805,0.997 +185212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,0.744399897,0.997 +185213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.058640686,0.997 +185215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.335701671,0.997 +185214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.354982568,0.997 +185217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.72375502,0.997 +185216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.50120454,0.997 +185218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.410941586,0.997 +185219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.117055821,0.997 +185220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.397833811,0.997 +185221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.235910529,0.997 +185222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.450470042,0.997 +185223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.006241987,0.997 +185224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.357752949,0.997 +185225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.904588141,0.997 +185227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.60109236,0.997 +185226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.584044772,0.997 +185228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.971616121,0.997 +185229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.177251195,0.997 +185231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.217471951,0.997 +185232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.998521072,0.997 +185230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.693763053,0.997 +185233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.403108813,0.997 +185234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.220917807,0.997 +185235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.487590909,0.997 +185236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.552256307,0.997 +185237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.615958949,0.997 +185238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.229165776,0.997 +185239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.931513437,0.997 +185241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.95933002,0.997 +185242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.195321229,0.997 +185243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.49524952,0.997 +185244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.540449729,0.997 +185245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.163786772,0.997 +185246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.574719691,0.997 +185240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.230707483,0.997 +185247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.878718495,0.997 +185248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.592665328,0.997 +185249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.391401698,0.997 +185250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.979241982,0.997 +185251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.351386121,0.997 +185252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.572977103,0.997 +185253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.422716472,0.997 +185254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.420048749,0.997 +185255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.940724712,0.997 +185256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.144853363,0.997 +185257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.031229363,0.997 +185259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,10.7667856,0.997 +185260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.000143385,0.997 +185258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.407006966,0.997 +185261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.13666152,0.997 +185263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.536095746,0.997 +185262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,9.592724202,0.997 +185265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.356595233,0.997 +185266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.154747119,0.997 +185267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.026270333,0.997 +185264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.723289726,0.997 +185268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.539099253,0.997 +185269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,8.798052424,0.997 +185271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.909864413,0.997 +185270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.503134108,0.997 +185272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.936181422,0.997 +185273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.393285242,0.997 +185275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.844344789,0.997 +185276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.730570085,0.997 +185274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.378017951,0.997 +185277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.795845714,0.997 +185278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.764862579,0.997 +185279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.309810732,0.997 +185281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.423318451,0.997 +185282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.972268144,0.997 +185283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.020251261,0.997 +185284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.355980205,0.997 +185280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.844194438,0.997 +185287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.861785286,0.997 +185285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.841060715,0.997 +185286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.697919384,0.997 +185288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.608680679,0.997 +185290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.259321446,0.997 +185289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.913068954,0.997 +185291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.551171287,0.997 +185292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.403528181,0.997 +185294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,10.5494357,0.997 +185293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.594322586,0.997 +185295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.889743394,0.997 +185297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.33150911,0.997 +185298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,0.685491247,0.997 +185296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.807509563,0.997 +185299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.720285544,0.997 +185301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.068638678,0.997 +185303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.105770662,0.997 +185300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.852488417,0.997 +185302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.30691423,0.997 +185304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.928407812,0.997 +185306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,9.139132302,0.997 +185307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.846562955,0.997 +185305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.447553334,0.997 +185308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.116265635,0.997 +185309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.533660859,0.997 +185310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.687000576,0.997 +185311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.6419696,0.997 +185313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.191045299,0.997 +185312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.641836381,0.997 +185315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.91073615,0.997 +185314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.615145923,0.997 +185318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.959162485,0.997 +185316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.005578783,0.997 +185319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.383971357,0.997 +185317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.09273883,0.997 +185320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,8.67455814,0.997 +185321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.390122065,0.997 +185322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.487825903,0.997 +185323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.275131142,0.997 +185324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.454352721,0.997 +185325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.754866845,0.997 +185327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,9.069488172,0.997 +185326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.178485376,0.997 +185328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.895665277,0.997 +185329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.548053467,0.997 +185330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.567299182,0.997 +185331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.196130776,0.997 +185332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.928819755,0.997 +185333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.755594816,0.997 +185334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.868403337,0.997 +185336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.733387197,0.997 +185337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.099435112,0.997 +185338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.960054678,0.997 +185339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.531545467,0.997 +185335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.950949871,0.997 +185340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.488230906,0.997 +185341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.411119274,0.997 +185342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.871313578,0.997 +185344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.989867506,0.997 +185345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.336305572,0.997 +185343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.695070205,0.997 +185346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.838067403,0.997 +185347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.666353597,0.997 +185349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.847890999,0.997 +185348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.87251834,0.997 +185350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.780196838,0.997 +185351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,-0.226796144,0.997 +185352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.741602298,0.997 +185353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.276912723,0.997 +185354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.093332706,0.997 +185355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.046918293,0.997 +185357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.825037532,0.997 +185358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.105271181,0.997 +185359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.203953959,0.997 +185356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.378792358,0.997 +185360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,8.261640795,0.997 +185361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.440776631,0.997 +185362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.994295019,0.997 +185363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.093812788,0.997 +185364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.394410664,0.997 +185365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.958025307,0.997 +185366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.606001375,0.997 +185367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.895859574,0.997 +185368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.497282694,0.997 +185369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.851399885,0.997 +185370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.616362369,0.997 +185372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,8.744856904,0.997 +185373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,10.29347153,0.997 +185374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.325938104,0.997 +185375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.640465904,0.997 +185371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,8.94796159,0.997 +185377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,8.02685733,0.997 +185376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,10.61918629,0.997 +185379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.320302195,0.997 +185378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.66577526,0.997 +185380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.878462733,0.997 +185381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.346164323,0.997 +185382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.046772071,0.997 +185383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.334409313,0.997 +185384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.787820986,0.997 +185385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.959319771,0.997 +185386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,8.076038783,0.997 +185388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.374261961,0.997 +185387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.788647302,0.997 +185389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.519290384,0.997 +185391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.325047544,0.997 +185392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.520907859,0.997 +185390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.951962002,0.997 +185393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.282273165,0.997 +185395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.552050607,0.997 +185394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.582696944,0.997 +185396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.528914436,0.997 +185397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.01635368,0.997 +185399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.873681863,0.997 +185398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.288956252,0.997 +185400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.065195682,0.997 +185401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.872962649,0.997 +185403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.522151071,0.997 +185402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.183223777,0.997 +185405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.590368111,0.997 +185404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.802444806,0.997 +185406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.896903868,0.997 +185407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,8.656539439,0.997 +185408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.458590488,0.997 +185411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.678861985,0.997 +185410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.686991114,0.997 +185409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.739746012,0.997 +185412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.325975565,0.997 +185413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,11.25804278,0.997 +185414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.472308952,0.997 +185415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.470104395,0.997 +185416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.619550532,0.997 +185418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.325604976,0.997 +185417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,0.580568494,0.997 +185419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.886180437,0.997 +185422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.800985935,0.997 +185420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.798448774,0.997 +185421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.266742927,0.997 +185426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.102816766,0.997 +185425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.260956184,0.997 +185424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.449737487,0.997 +185423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.455141316,0.997 +185427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.461587523,0.997 +185428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.472407306,0.997 +185429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.887085029,0.997 +185430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.052170468,0.997 +185432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.912984013,0.997 +185431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.590439889,0.997 +185433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.117347738,0.997 +185434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.625292293,0.997 +185435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.975873705,0.997 +185436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,8.513639368,0.997 +185437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.742623428,0.997 +185439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.521826905,0.997 +185440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.92806048,0.997 +185441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.422492823,0.997 +185442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,0.907671638,0.997 +185443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.648613996,0.997 +185438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.931765974,0.997 +185444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.831492382,0.997 +185445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.688998645,0.997 +185446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.650733515,0.997 +185448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.210707688,0.997 +185450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.079279656,0.997 +185447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.712587295,0.997 +185449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.82451438,0.997 +185451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.9942252,0.997 +185452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.5355528,0.997 +185453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.64484175,0.997 +185454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.498953684,0.997 +185455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.394469399,0.997 +185456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.394941262,0.997 +185457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.402017231,0.997 +185458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.29312644,0.997 +185459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.298097797,0.997 +185460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.009158193,0.997 +185462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.69619481,0.997 +185463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.083155583,0.997 +185464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.675049725,0.997 +185465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,9.787488494,0.997 +185461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.606468925,0.997 +185466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,9.854554987,0.997 +185467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.220885304,0.997 +185469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.837026721,0.997 +185468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.479196868,0.997 +185471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.149710468,0.997 +185470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.705038389,0.997 +185472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.170920807,0.997 +185473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.89729002,0.997 +185474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,9.418066188,0.997 +185475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.401403116,0.997 +185476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.422142223,0.997 +185477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,0.901308455,0.997 +185478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.955967464,0.997 +185479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,8.160127917,0.997 +185481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.879549047,0.997 +185483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.838899124,0.997 +185482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.736920651,0.997 +185480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.429358405,0.997 +185485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.724118222,0.997 +185484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.915479029,0.997 +185487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.847682901,0.997 +185486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.776569659,0.997 +185489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.764157442,0.997 +185488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.521115495,0.997 +185491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.820965275,0.997 +185490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.570775529,0.997 +185492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,9.908363927,0.997 +185493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.20439859,0.997 +185494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.179657894,0.997 +185495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,9.203095785,0.997 +185496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.875639392,0.997 +185497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.377504458,0.997 +185498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.437447814,0.997 +185499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.15792449,0.997 +185501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.82621004,0.997 +185500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.755070526,0.997 +185502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.423416423,0.997 +185503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.285403503,0.997 +185504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.498516072,0.997 +185505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.448136449,0.997 +185506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.158448375,0.997 +185507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.741548373,0.997 +185509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.621739918,0.997 +185510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.861009328,0.997 +185508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.055651412,0.997 +185511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.640672389,0.997 +185512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.76900333,0.997 +185513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.929988069,0.997 +185514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.166533687,0.997 +185516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.720857993,0.997 +185515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.335926706,0.997 +185518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.467273125,0.997 +185519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.926793291,0.997 +185520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.92079066,0.997 +185517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.059638,0.997 +185521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.234415832,0.997 +185522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.109301426,0.997 +185523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.937989584,0.997 +185524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.979877754,0.997 +185525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.062079185,0.997 +185526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.055363245,0.997 +185527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.858929287,0.997 +185528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.122668063,0.997 +185529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.328830388,0.997 +185530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.451418115,0.997 +185531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.029857989,0.997 +185533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.408030513,0.997 +185532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.286526795,0.997 +185534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,8.209823632,0.997 +185535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.015395025,0.997 +185536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.567795746,0.997 +185537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.814608533,0.997 +185538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.345322915,0.997 +185539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.359756411,0.997 +185540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.247096293,0.997 +185542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.164674304,0.997 +185541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.322463028,0.997 +185543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.181255067,0.997 +185546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.809422507,0.997 +185544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.276325826,0.997 +185547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.683744963,0.997 +185545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.431243339,0.997 +185548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.445324763,0.997 +185549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,8.913868507,0.997 +185550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.954127775,0.997 +185551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.932928711,0.997 +185553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.673590193,0.997 +185554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,0.756665943,0.997 +185552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.187027391,0.997 +185555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.215035228,0.997 +185557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.399054547,0.997 +185556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.241499152,0.997 +185558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.753547065,0.997 +185559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.370114781,0.997 +185561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.140743883,0.997 +185562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.042084971,0.997 +185563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.471584835,0.997 +185560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.754450731,0.997 +185564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.957206098,0.997 +185567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.7561403,0.997 +185566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.151004516,0.997 +185565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.719089201,0.997 +185568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.800092342,0.997 +185569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.798369882,0.997 +185570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.035322969,0.997 +185572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.778316366,0.997 +185573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.353426173,0.997 +185574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,9.993326758,0.997 +185571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.779381026,0.997 +185575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.855406654,0.997 +185577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.288324243,0.997 +185576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.035196122,0.997 +185578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.56831932,0.997 +185579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.462066242,0.997 +185580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,10.43061341,0.997 +185581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.150673345,0.997 +185583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.431966562,0.997 +185584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.773639934,0.997 +185585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.8378413,0.997 +185582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.72990401,0.997 +185586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.6014757,0.997 +185587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.227180894,0.997 +185588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.110470896,0.997 +185589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.218230781,0.997 +185591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,8.290226374,0.997 +185590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.818854375,0.997 +185592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.365534142,0.997 +185595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.138010766,0.997 +185593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.106575048,0.997 +185594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.325178547,0.997 +185596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.868921217,0.997 +185597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.363785114,0.997 +185598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.925200367,0.997 +185599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.859685242,0.997 +185600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.819693709,0.997 +185601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.010532565,0.997 +185603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.089857335,0.997 +185604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.067164219,0.997 +185602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.271494404,0.997 +185605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.589300175,0.997 +185606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.493281703,0.997 +185607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.576181995,0.997 +185608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.860836684,0.997 +185609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,0.566737094,0.997 +185610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.139145616,0.997 +185611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,9.32115188,0.997 +185613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.113312867,0.997 +185614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.508491168,0.997 +185612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.508000136,0.997 +185615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,8.257058705,0.997 +185616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.556827399,0.997 +185617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.858427143,0.997 +185619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.737749831,0.997 +185618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,8.051134955,0.997 +185621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.960133316,0.997 +185620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.850632716,0.997 +185622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.917515487,0.997 +185623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.694131726,0.997 +185624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.145344876,0.997 +185625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.262325863,0.997 +185626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.179897045,0.997 +185628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.329557888,0.997 +185629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.836119268,0.997 +185627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,0.120851661,0.997 +185630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.897808311,0.997 +185632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.506749883,0.997 +185631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.307211319,0.997 +185633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.094162852,0.997 +185634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.178008548,0.997 +185636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.662031416,0.997 +185635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.087708559,0.997 +185638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.547500469,0.997 +185639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,10.26638597,0.997 +185640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.264139129,0.997 +185637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.52331894,0.997 +185641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,0.936633098,0.997 +185642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.385517802,0.997 +185643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.326633264,0.997 +185644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.98311339,0.997 +185645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.311695477,0.997 +185646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.566428358,0.997 +185647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.858919894,0.997 +185649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.84422021,0.997 +185648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,8.392122132,0.997 +185650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.885051377,0.997 +185651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.67192567,0.997 +185653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.313821821,0.997 +185655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.10782985,0.997 +185652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.3300124,0.997 +185654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.33929951,0.997 +185658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.361007676,0.997 +185659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.039636187,0.997 +185657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,10.76357235,0.997 +185660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.952343088,0.997 +185661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.719763845,0.997 +185656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.244633478,0.997 +185662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.122031472,0.997 +185663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.062042482,0.997 +185665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.471748486,0.997 +185664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,-0.731067582,0.997 +185666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.491730295,0.997 +185668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.76945558,0.997 +185667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.550051898,0.997 +185669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.226439983,0.997 +185670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.52904496,0.997 +185671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,-0.319113269,0.997 +185673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,9.922508481,0.997 +185672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,10.45025703,0.997 +185674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.447754627,0.997 +185677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.400097224,0.997 +185676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.013872776,0.997 +185678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.549016875,0.997 +185679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.224503564,0.997 +185680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.444521243,0.997 +185675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.019742526,0.997 +185682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.641453905,0.997 +185681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.324300827,0.997 +185684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.780781834,0.997 +185683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,0.947600013,0.997 +185685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.371328047,0.997 +185687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.347000287,0.997 +185686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.480599809,0.997 +185688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.5623635,0.997 +185689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.63784267,0.997 +185691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.974852119,0.997 +185690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,8.508257268,0.997 +185692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.884889114,0.997 +185693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.177920677,0.997 +185694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.072852401,0.997 +185696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.502228069,0.997 +185697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.038873174,0.997 +185695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.043725966,0.997 +185698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.383210453,0.997 +185701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.377955098,0.997 +185700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.95031059,0.997 +185699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.079394669,0.997 +185702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.624344107,0.997 +185705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,0.773350345,0.997 +185703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.066161369,0.997 +185704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.748429711,0.997 +185706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.638289636,0.997 +185707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.23694879,0.997 +185708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.018566334,0.997 +185709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.892227266,0.997 +185711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.45362686,0.997 +185710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.059778257,0.997 +185713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.638281719,0.997 +185712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.080306583,0.997 +185715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.8910862,0.997 +185714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.594673454,0.997 +185716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.540872346,0.997 +185718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.532743252,0.997 +185717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.184928512,0.997 +185719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.931337078,0.997 +185720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.055798027,0.997 +185721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.298736526,0.997 +185723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.234814463,0.997 +185724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.143654448,0.997 +185722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.437063257,0.997 +185725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.539287693,0.997 +185727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.513434729,0.997 +185726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.995950479,0.997 +185728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.117650161,0.997 +185729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.257621551,0.997 +185730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.947731353,0.997 +185731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.067110306,0.997 +185733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.84671657,0.997 +185732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.515883011,0.997 +185734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.939913943,0.997 +185735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.421747362,0.997 +185736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.036077542,0.997 +185737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,10.7531851,0.997 +185738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.929500703,0.997 +185739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.985992841,0.997 +185740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.502503132,0.997 +185742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.569582194,0.997 +185741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.97958068,0.997 +185743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.824757375,0.997 +185744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.109362998,0.997 +185746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.200466916,0.997 +185745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,11.46584506,0.997 +185747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.545659167,0.997 +185750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.963606585,0.997 +185748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.292683355,0.997 +185751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,8.339974043,0.997 +185752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.780970031,0.997 +185753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.573375772,0.997 +185749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.964943947,0.997 +185754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,0.023874653,0.997 +185756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.533598981,0.997 +185755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.118248009,0.997 +185758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.047416014,0.997 +185757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.62152795,0.997 +185759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.12765203,0.997 +185760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.36291137,0.997 +185762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.372833333,0.997 +185761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.992977119,0.997 +185764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.567376236,0.997 +185763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.321277272,0.997 +185766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.979124002,0.997 +185767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.736876229,0.997 +185768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.359960451,0.997 +185769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,8.094888301,0.997 +185770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.929468089,0.997 +185765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.511579893,0.997 +185771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.674054197,0.997 +185772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.399265472,0.997 +185773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.639452203,0.997 +185775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.313303684,0.997 +185774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,0.095737987,0.997 +185776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,8.145677739,0.997 +185777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.876373086,0.997 +185779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.532972609,0.997 +185778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,8.797351785,0.997 +185780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.363920209,0.997 +185781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.35679367,0.997 +185782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.32480758,0.997 +185783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.982813886,0.997 +185784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.255610333,0.997 +185785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.434115461,0.997 +185787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.010942438,0.997 +185788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.993461751,0.997 +185789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.938737149,0.997 +185790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,8.118371773,0.997 +185786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.072524006,0.997 +185791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.354226435,0.997 +185794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.400523283,0.997 +185792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.15951555,0.997 +185793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.880688113,0.997 +185795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.116522833,0.997 +185796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.878880474,0.997 +185797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.548981388,0.997 +185798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.131234318,0.997 +185799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.244829012,0.997 +185800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.405582924,0.997 +185801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.289455697,0.997 +185802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.003368389,0.997 +185803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.37882995,0.997 +185806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.626722484,0.997 +185805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.787529683,0.997 +185807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.22356317,0.997 +185804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.640857378,0.997 +185809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.847383215,0.997 +185808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.237576964,0.997 +185810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.029309563,0.997 +185811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.596145362,0.997 +185812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.396755247,0.997 +185813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.827908955,0.997 +185814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.321278539,0.997 +185816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,8.470880202,0.997 +185818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.256301135,0.997 +185815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,8.455266581,0.997 +185817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.01127218,0.997 +185819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.460079676,0.997 +185822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.50515707,0.997 +185821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.004128437,0.997 +185820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.244799689,0.997 +185823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.272170398,0.997 +185824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.691281963,0.997 +185825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.471015433,0.997 +185826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,0.880896271,0.997 +185828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.842563703,0.997 +185827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.199433647,0.997 +185829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.874832245,0.997 +185830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.034099557,0.997 +185831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.809415317,0.997 +185832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.45582871,0.997 +185834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.725191942,0.997 +185833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.764962859,0.997 +185836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.167363053,0.997 +185835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.745165123,0.997 +185837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.423668975,0.997 +185838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.62844131,0.997 +185840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.242192953,0.997 +185839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.203420937,0.997 +185841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.147162643,0.997 +185843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.852551519,0.997 +185844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.078440784,0.997 +185845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.765966237,0.997 +185846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.132330427,0.997 +185847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.591788676,0.997 +185848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.968897715,0.997 +185842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.166096705,0.997 +185849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.917669791,0.997 +185850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.737256912,0.997 +185851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.921276297,0.997 +185852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.439260086,0.997 +185854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.268969272,0.997 +185853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.404981224,0.997 +185855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.011462808,0.997 +185856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.141877902,0.997 +185857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.628882721,0.997 +185858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.204068502,0.997 +185859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.232003142,0.997 +185861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,8.655094652,0.997 +185863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.474475663,0.997 +185862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.88731228,0.997 +185860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.996046368,0.997 +185864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.740079381,0.997 +185865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.807787896,0.997 +185866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.88328579,0.997 +185867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.650248861,0.997 +185868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.356540173,0.997 +185870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,8.348125369,0.997 +185869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.242675433,0.997 +185871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.671531876,0.997 +185872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.359972999,0.997 +185873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.138871071,0.997 +185874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.957133262,0.997 +185875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.442120457,0.997 +185876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.295973855,0.997 +185877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.453355767,0.997 +185878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.43889922,0.997 +185880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.343320975,0.997 +185881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.223910492,0.997 +185882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.114466195,0.997 +185879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.312573861,0.997 +185883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.340754995,0.997 +185884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.54297012,0.997 +185885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.806321415,0.997 +185887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.914586641,0.997 +185886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.64710309,0.997 +185888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.274826264,0.997 +185889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.087391999,0.997 +185890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.279137755,0.997 +185891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.812932539,0.997 +185892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.130969169,0.997 +185893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.765936593,0.997 +185894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.707805611,0.997 +185895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.119739591,0.997 +185897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.399196259,0.997 +185896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.294788248,0.997 +185898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.473620275,0.997 +185900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.993485727,0.997 +185902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.687220727,0.997 +185901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.78135166,0.997 +185899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.872502857,0.997 +185903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.291032065,0.997 +185904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.313397654,0.997 +185905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.455551785,0.997 +185906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.269328479,0.997 +185907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.860624093,0.997 +185908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.629586666,0.997 +185909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.0239114,0.997 +185910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.35036712,0.997 +185911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.811905284,0.997 +185912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.917454613,0.997 +185913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.473561004,0.997 +185915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.386294007,0.997 +185914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.609963233,0.997 +185916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.715265172,0.997 +185917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.746105243,0.997 +185918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.272776591,0.997 +185919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.44444834,0.997 +185920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.587118111,0.997 +185922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,8.472372999,0.997 +185921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.86363214,0.997 +185923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.938312962,0.997 +185924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.403642386,0.997 +185925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.654676891,0.997 +185926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.034632371,0.997 +185927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.216927388,0.997 +185928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.286278979,0.997 +185930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,10.68913751,0.997 +185929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.194262156,0.997 +185933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.075951159,0.997 +185931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.202438347,0.997 +185932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.618570958,0.997 +185934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.975788339,0.997 +185935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,0.587818657,0.997 +185937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.547879853,0.997 +185936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.979920108,0.997 +185938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.959791165,0.997 +185940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.184220868,0.997 +185939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.472352957,0.997 +185941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.404830674,0.997 +185942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.390991327,0.997 +185943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.632966149,0.997 +185944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.509800639,0.997 +185945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.045956174,0.997 +185946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.245266012,0.997 +185947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.712107076,0.997 +185950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.989538329,0.997 +185951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.568381874,0.997 +185948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.919082306,0.997 +185949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.893267126,0.997 +185952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.450733756,0.997 +185953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,10.22833745,0.997 +185956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.225347883,0.997 +185955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.098593057,0.997 +185957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.862230853,0.997 +185954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.250165264,0.997 +185959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.924421057,0.997 +185961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.938584711,0.997 +185960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.405191828,0.997 +185958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.860608185,0.997 +185963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.550339535,0.997 +185964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.453172125,0.997 +185965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.610360528,0.997 +185962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.015493326,0.997 +185966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.011409018,0.997 +185967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.390066423,0.997 +185968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.344506827,0.997 +185969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.83576752,0.997 +185971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.207772358,0.997 +185972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.131391717,0.997 +185973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,0.669132871,0.997 +185970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.844221032,0.997 +185974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,11.71826486,0.997 +185977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.775869683,0.997 +185975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.297926064,0.997 +185976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.53726992,0.997 +185979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.381062616,0.997 +185978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.802185248,0.997 +185980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,0.251298002,0.997 +185983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,5.125651484,0.997 +185984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.512253561,0.997 +185982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,3.802686032,0.997 +185981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.745290043,0.997 +185985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.232897439,0.997 +185986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.57709605,0.997 +185987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.359718662,0.997 +185988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.057208126,0.997 +185991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,4.747052116,0.997 +185990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,6.064612294,0.997 +185989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.75757178,0.997 +185993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.57707708,0.997 +185992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,7.814670166,0.997 +185994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,8.709355337,0.997 +185995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.451272827,0.997 +185997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,1.688569509,0.997 +185998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,12.04584494,0.997 +185999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.559766561,0.997 +185996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.278345241,0.997 +186000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,6,1,2.56733383,0.997 +195001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.42663125,0.993 +195002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.829790953,0.993 +195004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.740066122,0.993 +195003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.339889334,0.993 +195005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.282713368,0.993 +195006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.687717384,0.993 +195007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.425197393,0.993 +195009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.311915561,0.993 +195008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.430838143,0.993 +195010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.72307914,0.993 +195011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.585264049,0.993 +195012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.73435146,0.993 +195015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.797790037,0.993 +195014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.212072646,0.993 +195016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.025050927,0.993 +195013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.11703931,0.993 +195018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.361216448,0.993 +195017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.102767733,0.993 +195019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.762453358,0.993 +195020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.215136304,0.993 +195022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.272649378,0.993 +195021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.284668569,0.993 +195023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.673838551,0.993 +195024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.823652458,0.993 +195026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.019695901,0.993 +195025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.953868075,0.993 +195027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.470448317,0.993 +195028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.758328653,0.993 +195029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.878356254,0.993 +195030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.987040203,0.993 +195031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.909463387,0.993 +195033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,9.965118882,0.993 +195034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.527395511,0.993 +195035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.605521001,0.993 +195032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.729797932,0.993 +195037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.555001241,0.993 +195036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.990978907,0.993 +195038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.591822295,0.993 +195039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,9.129022645,0.993 +195040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.271640078,0.993 +195041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.598479875,0.993 +195042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.988312687,0.993 +195043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.225256266,0.993 +195044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.410827866,0.993 +195045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.785358195,0.993 +195046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.867991091,0.993 +195047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.843280611,0.993 +195048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.081680231,0.993 +195049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.313507374,0.993 +195050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.40801836,0.993 +195052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.313484043,0.993 +195053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.268834012,0.993 +195054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.822731741,0.993 +195051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.45806108,0.993 +195056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.125850345,0.993 +195055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.627398168,0.993 +195057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.905830529,0.993 +195058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.522663229,0.993 +195059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.645045981,0.993 +195060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.33177091,0.993 +195061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.25871605,0.993 +195062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.712076066,0.993 +195063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.618315536,0.993 +195064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.639995273,0.993 +195065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.474967416,0.993 +195067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.234467068,0.993 +195066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.021174746,0.993 +195068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.010056254,0.993 +195069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.119273746,0.993 +195070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.004633271,0.993 +195071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.326387412,0.993 +195072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.017241823,0.993 +195073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.474366767,0.993 +195074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.782603928,0.993 +195076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.528664458,0.993 +195075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.194794425,0.993 +195077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.386672235,0.993 +195078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.276538302,0.993 +195079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.178102868,0.993 +195081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.787445092,0.993 +195080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.515275527,0.993 +195082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.586758567,0.993 +195083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.134883377,0.993 +195084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.156002795,0.993 +195086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.523698956,0.993 +195085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.287673734,0.993 +195087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.44269471,0.993 +195088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.342057754,0.993 +195089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.255941334,0.993 +195090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.50076186,0.993 +195091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.54857497,0.993 +195092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.730417176,0.993 +195093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.12676756,0.993 +195095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,13.18354561,0.993 +195096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.443842115,0.993 +195094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.011114795,0.993 +195097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.206450059,0.993 +195098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.37695859,0.993 +195099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.462498883,0.993 +195100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.716169614,0.993 +195102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.841815001,0.993 +195101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.230543618,0.993 +195103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.636090515,0.993 +195104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.868904599,0.993 +195105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.275439098,0.993 +195106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.754086002,0.993 +195107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.843501882,0.993 +195109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.763905738,0.993 +195108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.581475454,0.993 +195110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.938897611,0.993 +195111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.025560692,0.993 +195114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,0.815197832,0.993 +195112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.71833072,0.993 +195115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.433925911,0.993 +195116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.449031536,0.993 +195117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.223465812,0.993 +195118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.903661879,0.993 +195113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.428536525,0.993 +195120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.973578281,0.993 +195119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.120651628,0.993 +195121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.695648036,0.993 +195124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.400855563,0.993 +195123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.486907365,0.993 +195125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.010762574,0.993 +195122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.308912409,0.993 +195127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.759684679,0.993 +195128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,0.750220974,0.993 +195126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.943208798,0.993 +195129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.103742193,0.993 +195130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.934672845,0.993 +195131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.460525767,0.993 +195132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.713323761,0.993 +195133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.26970006,0.993 +195134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.782784095,0.993 +195135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.278893748,0.993 +195136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.344509486,0.993 +195138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.516291226,0.993 +195139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.877124919,0.993 +195140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.778233971,0.993 +195137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.340326503,0.993 +195141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.479918963,0.993 +195143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.907361923,0.993 +195142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.277393893,0.993 +195144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.707232039,0.993 +195145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.887522148,0.993 +195147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.728200816,0.993 +195146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.533159546,0.993 +195148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.658447603,0.993 +195149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.729707488,0.993 +195150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.203144796,0.993 +195151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.626942822,0.993 +195152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.601424342,0.993 +195153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.242082896,0.993 +195155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.000548542,0.993 +195154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.727772817,0.993 +195157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.890608907,0.993 +195158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.393766891,0.993 +195159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.918643407,0.993 +195156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.176815623,0.993 +195160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.304660305,0.993 +195161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.938799762,0.993 +195162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.293642294,0.993 +195163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.733446777,0.993 +195164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.519881627,0.993 +195165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,0.976590434,0.993 +195166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,9.82003985,0.993 +195168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.849291373,0.993 +195169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.609198501,0.993 +195167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.034267402,0.993 +195170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.691460418,0.993 +195171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.703849619,0.993 +195174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.615392467,0.993 +195172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.720721418,0.993 +195173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.771020981,0.993 +195177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.001072535,0.993 +195175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.686034377,0.993 +195176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.321477212,0.993 +195178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.326871494,0.993 +195180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.091231151,0.993 +195179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.21485251,0.993 +195181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.735695601,0.993 +195182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.766642483,0.993 +195183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,0.765112578,0.993 +195184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.918251475,0.993 +195185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.193048593,0.993 +195187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.578091274,0.993 +195186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.304237632,0.993 +195188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.298644533,0.993 +195189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.150763641,0.993 +195192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.150408292,0.993 +195190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.579018061,0.993 +195191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.475430301,0.993 +195195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.660472472,0.993 +195196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.046643176,0.993 +195194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.157998297,0.993 +195193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.751696357,0.993 +195197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.315201086,0.993 +195199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.951552426,0.993 +195198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.310179539,0.993 +195201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.867085722,0.993 +195202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,9.871091753,0.993 +195200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.807628226,0.993 +195203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.679873712,0.993 +195204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.461305048,0.993 +195205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.690298073,0.993 +195206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,0.897865867,0.993 +195208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.592201108,0.993 +195207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.73296674,0.993 +195210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.813650821,0.993 +195211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.06850531,0.993 +195212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.948270765,0.993 +195209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.189497651,0.993 +195214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.207214908,0.993 +195215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.868957394,0.993 +195216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.528186781,0.993 +195213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,12.19365645,0.993 +195218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.209611504,0.993 +195217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.078928589,0.993 +195219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.054233097,0.993 +195220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,0.369411784,0.993 +195221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.169573589,0.993 +195223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,0.799898386,0.993 +195222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,0.935164376,0.993 +195224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.499068873,0.993 +195225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,9.9060118,0.993 +195226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.721935486,0.993 +195228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.992258337,0.993 +195229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.084598002,0.993 +195227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,9.611267046,0.993 +195231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.471060249,0.993 +195232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.726134182,0.993 +195233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.498414168,0.993 +195230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.103380761,0.993 +195236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.982816476,0.993 +195237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.231989179,0.993 +195234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.896554183,0.993 +195238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.017868064,0.993 +195235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.72300258,0.993 +195239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.360980547,0.993 +195242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.768469042,0.993 +195243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.779461388,0.993 +195240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.653695101,0.993 +195241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.574056802,0.993 +195244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,9.097886021,0.993 +195245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.367498568,0.993 +195246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.652765044,0.993 +195248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,10.90807893,0.993 +195247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.221603406,0.993 +195251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.87060043,0.993 +195249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.419031586,0.993 +195252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.669802094,0.993 +195250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.111437722,0.993 +195253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.623076321,0.993 +195255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.789950424,0.993 +195256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.631120991,0.993 +195257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.299821037,0.993 +195258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.195755247,0.993 +195259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.01134087,0.993 +195254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.494960947,0.993 +195261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.47829947,0.993 +195262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.968146072,0.993 +195263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.983025736,0.993 +195260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.335972905,0.993 +195264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.404621489,0.993 +195266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.53691386,0.993 +195265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.731783262,0.993 +195267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.935997159,0.993 +195268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.771370167,0.993 +195269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.244719869,0.993 +195271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.716810405,0.993 +195270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.40023682,0.993 +195272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.349640401,0.993 +195274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.231127813,0.993 +195275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.500561077,0.993 +195276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.977075676,0.993 +195273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.44596972,0.993 +195278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.864564126,0.993 +195277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.273182853,0.993 +195279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.658713534,0.993 +195280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.338989766,0.993 +195281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.633246736,0.993 +195282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,10.95712364,0.993 +195283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.893848757,0.993 +195284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.443320076,0.993 +195286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.985504758,0.993 +195285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.742663454,0.993 +195287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.870382427,0.993 +195288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.029884234,0.993 +195289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.893288301,0.993 +195290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.89881688,0.993 +195291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.023028835,0.993 +195292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.809755363,0.993 +195294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.556704051,0.993 +195293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.606073345,0.993 +195295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.345021373,0.993 +195296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.116725735,0.993 +195298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.761387105,0.993 +195297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.736153994,0.993 +195299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,9.537283657,0.993 +195300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.309786929,0.993 +195301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.410087993,0.993 +195302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.435208481,0.993 +195303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.769337853,0.993 +195304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.586238361,0.993 +195306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,9.968645299,0.993 +195305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,11.16055311,0.993 +195308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.964772022,0.993 +195309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.384861772,0.993 +195310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.08000919,0.993 +195307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,9.066193184,0.993 +195313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.133198067,0.993 +195311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.500568616,0.993 +195312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.70090455,0.993 +195314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.519813301,0.993 +195315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.124216814,0.993 +195317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.193740698,0.993 +195316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.004165832,0.993 +195319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.764914341,0.993 +195318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.773550635,0.993 +195320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.890434043,0.993 +195321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.083490166,0.993 +195322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.243375309,0.993 +195323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.163567712,0.993 +195324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.333048316,0.993 +195325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.735757751,0.993 +195326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.845378682,0.993 +195329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.856366056,0.993 +195328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.473629122,0.993 +195330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.239783664,0.993 +195327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.722391182,0.993 +195331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.609554603,0.993 +195332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.409938255,0.993 +195333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,0.539747446,0.993 +195334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.909958373,0.993 +195335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.004447031,0.993 +195336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.334013014,0.993 +195337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.870873886,0.993 +195338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.685645133,0.993 +195339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.375126478,0.993 +195340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.486288894,0.993 +195341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.514148681,0.993 +195342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.409003181,0.993 +195344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.00548783,0.993 +195345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.548231614,0.993 +195343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.710534057,0.993 +195346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.536620675,0.993 +195347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.228954184,0.993 +195349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.24970749,0.993 +195348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.455214592,0.993 +195350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.584988558,0.993 +195351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.282920578,0.993 +195352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.995658704,0.993 +195353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.196854665,0.993 +195354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.850243035,0.993 +195355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.991640199,0.993 +195357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.959542323,0.993 +195356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.050263011,0.993 +195360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.587056722,0.993 +195359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.001100545,0.993 +195361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.721202968,0.993 +195362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.688888842,0.993 +195363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.675359498,0.993 +195358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.016946269,0.993 +195364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.420573609,0.993 +195365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.856467795,0.993 +195366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.060757042,0.993 +195367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.107480272,0.993 +195369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.082898117,0.993 +195368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.764923682,0.993 +195370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.690651106,0.993 +195371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.142252382,0.993 +195373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.618480978,0.993 +195374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.863889401,0.993 +195372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.863984371,0.993 +195375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.314971616,0.993 +195377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.451574342,0.993 +195376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.564594823,0.993 +195378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.541581955,0.993 +195380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.375391994,0.993 +195381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.88131184,0.993 +195382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.831440454,0.993 +195383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.187562352,0.993 +195379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.544606661,0.993 +195385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.56332703,0.993 +195384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.084707741,0.993 +195387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.036990894,0.993 +195386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.19833374,0.993 +195389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.040102025,0.993 +195388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.41376235,0.993 +195390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.216470541,0.993 +195391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.406677112,0.993 +195393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.613388769,0.993 +195392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.668505296,0.993 +195394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.155707504,0.993 +195395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.713376368,0.993 +195396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,0.923110472,0.993 +195397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.743210899,0.993 +195399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.632337228,0.993 +195400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.045230046,0.993 +195401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.265084965,0.993 +195402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.206100593,0.993 +195403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.6618527,0.993 +195404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.532096308,0.993 +195398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.789113297,0.993 +195405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.079609934,0.993 +195407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.693435212,0.993 +195406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,9.641137225,0.993 +195408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.969835062,0.993 +195409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.30540552,0.993 +195411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.526336456,0.993 +195412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.93371348,0.993 +195413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.910688676,0.993 +195414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.754698847,0.993 +195410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.0782384,0.993 +195415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.31835211,0.993 +195416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.353484616,0.993 +195417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.816486179,0.993 +195418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.810501344,0.993 +195420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.458484716,0.993 +195419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.21409359,0.993 +195421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.254203972,0.993 +195422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.40140165,0.993 +195423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.579316102,0.993 +195425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.417137785,0.993 +195426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,11.91723625,0.993 +195424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.119461711,0.993 +195427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.012266918,0.993 +195428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.073550784,0.993 +195430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,9.238246418,0.993 +195431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.362475284,0.993 +195429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.470800539,0.993 +195432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.467344765,0.993 +195435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.1178429,0.993 +195433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.25411886,0.993 +195434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.3726521,0.993 +195436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.854516883,0.993 +195437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.045093932,0.993 +195438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,0.396255759,0.993 +195439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,12.1764101,0.993 +195440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.921239178,0.993 +195442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.327089388,0.993 +195441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,9.33297867,0.993 +195444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.028231662,0.993 +195443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.729456532,0.993 +195445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.079949409,0.993 +195446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.373176668,0.993 +195447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.24071693,0.993 +195448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.554770529,0.993 +195450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.909538365,0.993 +195452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.679256396,0.993 +195451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.937371834,0.993 +195449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.977663307,0.993 +195453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.520554221,0.993 +195454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.349799026,0.993 +195455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.348359832,0.993 +195456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.356573313,0.993 +195458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.104277413,0.993 +195457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.721740725,0.993 +195459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.94724131,0.993 +195460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.446537508,0.993 +195461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.578806736,0.993 +195462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,9.711662934,0.993 +195464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.559656909,0.993 +195463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.424818301,0.993 +195466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.975398334,0.993 +195465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.678979695,0.993 +195468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.415724728,0.993 +195467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.817448544,0.993 +195470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.854226218,0.993 +195471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.58685784,0.993 +195469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.120985404,0.993 +195472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.285833645,0.993 +195473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.871823475,0.993 +195474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.066965048,0.993 +195475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.51388827,0.993 +195477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.534013785,0.993 +195476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.521542667,0.993 +195478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.862308476,0.993 +195479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.932910334,0.993 +195481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.594245867,0.993 +195482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.474478507,0.993 +195480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.164131255,0.993 +195483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.717206037,0.993 +195484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.256398143,0.993 +195486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.432269985,0.993 +195488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.753193102,0.993 +195487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.594415125,0.993 +195489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.232916329,0.993 +195485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.055168417,0.993 +195491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.44919427,0.993 +195490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.539270468,0.993 +195492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.195657714,0.993 +195493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.207181118,0.993 +195494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.783902791,0.993 +195495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.786299011,0.993 +195496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.438808077,0.993 +195497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.006317343,0.993 +195499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.407205871,0.993 +195498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.397547989,0.993 +195500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.855360532,0.993 +195501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.959487805,0.993 +195502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.610889584,0.993 +195503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.283294556,0.993 +195504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.895851476,0.993 +195506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.404509886,0.993 +195508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.990463641,0.993 +195507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.179821945,0.993 +195505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.250296442,0.993 +195509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.033783935,0.993 +195511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.022346978,0.993 +195512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.613527984,0.993 +195510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.385123102,0.993 +195513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.108435814,0.993 +195515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.3698383,0.993 +195514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.02045849,0.993 +195516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.170223208,0.993 +195517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.670366559,0.993 +195518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.881900195,0.993 +195519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.249900824,0.993 +195520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.436476316,0.993 +195521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.724204864,0.993 +195524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.105755786,0.993 +195523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.135995376,0.993 +195522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.333802659,0.993 +195525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.938634671,0.993 +195526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.01692249,0.993 +195528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.492562468,0.993 +195529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.975775576,0.993 +195530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.784845665,0.993 +195527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.399131818,0.993 +195531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.944993538,0.993 +195532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.002331902,0.993 +195533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.803937221,0.993 +195535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.924671028,0.993 +195536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.770271021,0.993 +195537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.786019709,0.993 +195534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,-0.421826778,0.993 +195538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.488731834,0.993 +195539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.694543081,0.993 +195540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.254214535,0.993 +195543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.621178411,0.993 +195541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.678854811,0.993 +195542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.037251584,0.993 +195544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.176319032,0.993 +195546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.946540266,0.993 +195545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.566766943,0.993 +195548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.051290015,0.993 +195547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,9.094814226,0.993 +195550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.404905328,0.993 +195551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.741489593,0.993 +195552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.704999776,0.993 +195553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.02324327,0.993 +195549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.188607342,0.993 +195554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.293958253,0.993 +195555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.699570531,0.993 +195556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.28292285,0.993 +195557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.988300715,0.993 +195559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.640724882,0.993 +195558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.614747847,0.993 +195560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.266983514,0.993 +195561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.288988081,0.993 +195562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.652248919,0.993 +195563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.927205636,0.993 +195564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.084959236,0.993 +195566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.384053452,0.993 +195565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,-2.239978719,0.993 +195567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.722505419,0.993 +195568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.138720554,0.993 +195569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.647696958,0.993 +195571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.336976605,0.993 +195572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.461534648,0.993 +195573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.269491022,0.993 +195574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.289737452,0.993 +195575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,0.123672414,0.993 +195570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.781830252,0.993 +195576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.420823938,0.993 +195577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.28322551,0.993 +195578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.015057921,0.993 +195579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.025756322,0.993 +195580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.275657049,0.993 +195581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.746466233,0.993 +195582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.160026155,0.993 +195583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.051340032,0.993 +195584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.691510423,0.993 +195585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.998156886,0.993 +195586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.321287816,0.993 +195588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.935817208,0.993 +195589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.483729501,0.993 +195587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.371573269,0.993 +195590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.771006709,0.993 +195592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.757976702,0.993 +195591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.88767439,0.993 +195594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.832008383,0.993 +195593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.56493953,0.993 +195595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.435146042,0.993 +195596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.023237907,0.993 +195597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.969068531,0.993 +195600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,10.10476899,0.993 +195599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.631614553,0.993 +195601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.684989518,0.993 +195598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.634064906,0.993 +195602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.103076673,0.993 +195603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.554794813,0.993 +195604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.096390101,0.993 +195605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.299391375,0.993 +195606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.152690192,0.993 +195607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.377784192,0.993 +195608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.590724901,0.993 +195610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.326868082,0.993 +195611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.255218513,0.993 +195612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.039596149,0.993 +195609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,-0.088262243,0.993 +195613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.718195212,0.993 +195614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.068786361,0.993 +195615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.924148465,0.993 +195617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.023357953,0.993 +195616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.927920363,0.993 +195618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.753222586,0.993 +195619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,0.883312892,0.993 +195621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.255153713,0.993 +195620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.971048213,0.993 +195622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.201269959,0.993 +195623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.488158183,0.993 +195624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,9.248568642,0.993 +195625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.501136976,0.993 +195626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.418651323,0.993 +195627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.232467403,0.993 +195629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.178553659,0.993 +195630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.317497408,0.993 +195631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.837736628,0.993 +195632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.72730024,0.993 +195628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.582742304,0.993 +195635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,10.90718081,0.993 +195634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.669379113,0.993 +195633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.817156725,0.993 +195636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.013484244,0.993 +195638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.191825079,0.993 +195637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.55219086,0.993 +195639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.278000428,0.993 +195640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.257273504,0.993 +195641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.31135759,0.993 +195642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.517879479,0.993 +195643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.301660332,0.993 +195645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.147629223,0.993 +195646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.680968796,0.993 +195647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.465215438,0.993 +195648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,0.54844944,0.993 +195644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.782891221,0.993 +195649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.70756066,0.993 +195650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.612183902,0.993 +195652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,10.39693687,0.993 +195651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.544714384,0.993 +195653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.233754993,0.993 +195654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.80316687,0.993 +195655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.857185507,0.993 +195656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.569961675,0.993 +195657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.806062398,0.993 +195658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.669512221,0.993 +195659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,0.557897235,0.993 +195660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.69911813,0.993 +195661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.487936975,0.993 +195662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.042388165,0.993 +195665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.992366008,0.993 +195664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.640336782,0.993 +195663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.960225214,0.993 +195667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.714150519,0.993 +195668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.39563356,0.993 +195666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,-1.06863499,0.993 +195669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.904734456,0.993 +195671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.541786987,0.993 +195670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.700110579,0.993 +195673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.432291903,0.993 +195674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.336761678,0.993 +195675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.710139389,0.993 +195672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.499769107,0.993 +195676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.484780457,0.993 +195677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.654487276,0.993 +195679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.323823125,0.993 +195678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.145868608,0.993 +195681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.956842162,0.993 +195682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.304106609,0.993 +195683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.899485597,0.993 +195680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.215492276,0.993 +195684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.216428701,0.993 +195686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,0.014976732,0.993 +195687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.872338036,0.993 +195688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.151896073,0.993 +195685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.550384068,0.993 +195689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.735940132,0.993 +195690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.91394567,0.993 +195691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.392815762,0.993 +195692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.516311083,0.993 +195694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.189266529,0.993 +195693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.034769871,0.993 +195696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.666151507,0.993 +195695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.43942102,0.993 +195697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.238792062,0.993 +195698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,-0.342321949,0.993 +195699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.844893596,0.993 +195700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.628064078,0.993 +195702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.036069875,0.993 +195701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.854281079,0.993 +195704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.457270502,0.993 +195705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,-0.224789955,0.993 +195706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.009528459,0.993 +195707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.835754138,0.993 +195703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.114841799,0.993 +195711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.84900387,0.993 +195710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.434598713,0.993 +195708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.982126547,0.993 +195709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.633433875,0.993 +195712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.709061698,0.993 +195714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.991710854,0.993 +195713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.678734629,0.993 +195715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.373685068,0.993 +195716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.037170755,0.993 +195717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,9.192527855,0.993 +195718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.424025714,0.993 +195719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.640956082,0.993 +195720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.970220664,0.993 +195721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.579899593,0.993 +195722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.009497478,0.993 +195723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.84810227,0.993 +195725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.096027281,0.993 +195726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.718846671,0.993 +195724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.533938198,0.993 +195727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.714678063,0.993 +195728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.261250286,0.993 +195729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.62043888,0.993 +195730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.080130534,0.993 +195731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.744138307,0.993 +195732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.980136074,0.993 +195733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.510559797,0.993 +195734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,0.066821522,0.993 +195735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.562430913,0.993 +195736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.785112068,0.993 +195737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.788502038,0.993 +195738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.676113798,0.993 +195739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.476434509,0.993 +195740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.993510217,0.993 +195741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,10.66963032,0.993 +195742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.390093839,0.993 +195744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.287011176,0.993 +195745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.008434103,0.993 +195746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.163862029,0.993 +195747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.199452546,0.993 +195748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.248656511,0.993 +195743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.024758775,0.993 +195749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.698920727,0.993 +195750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.330704529,0.993 +195751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.987684307,0.993 +195753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.650326386,0.993 +195754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.431097398,0.993 +195755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.190332572,0.993 +195752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.306675915,0.993 +195757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.071782213,0.993 +195759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,10.31185128,0.993 +195756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.072731233,0.993 +195758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.738046626,0.993 +195762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.878019705,0.993 +195761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.238119236,0.993 +195760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.611736857,0.993 +195763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.747555703,0.993 +195764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,9.102447941,0.993 +195766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.078333487,0.993 +195767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,0.724913393,0.993 +195768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.674385481,0.993 +195769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.291283861,0.993 +195770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.508904733,0.993 +195765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.866675383,0.993 +195772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.039141294,0.993 +195771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.708689784,0.993 +195773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.129594725,0.993 +195774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,0.873457303,0.993 +195776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.791198596,0.993 +195775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,0.925321142,0.993 +195777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.322416554,0.993 +195778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.045057428,0.993 +195781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.455288514,0.993 +195779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.239271519,0.993 +195780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.123130842,0.993 +195782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.184919182,0.993 +195783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.642856301,0.993 +195784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.034451624,0.993 +195785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.225088674,0.993 +195787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.992678854,0.993 +195789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.616219492,0.993 +195788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.701327335,0.993 +195786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,0.987866597,0.993 +195790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.820614558,0.993 +195792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.55479033,0.993 +195794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.608304158,0.993 +195793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,0.988065105,0.993 +195795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.997938552,0.993 +195796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.325151143,0.993 +195797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.768753595,0.993 +195798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.216558788,0.993 +195791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.25621251,0.993 +195799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.649461482,0.993 +195800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.593044276,0.993 +195801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.437362956,0.993 +195802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.449798516,0.993 +195804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.941563786,0.993 +195803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.625776226,0.993 +195806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.332362638,0.993 +195805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.298833858,0.993 +195807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.290914942,0.993 +195808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.656562962,0.993 +195809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.634709967,0.993 +195810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.783366751,0.993 +195812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.818300752,0.993 +195811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.07960478,0.993 +195814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.962420259,0.993 +195815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.315159809,0.993 +195813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.256639998,0.993 +195818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.147066567,0.993 +195816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.570238579,0.993 +195817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.283051894,0.993 +195819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.814972275,0.993 +195820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.901996064,0.993 +195821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.335434679,0.993 +195822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.299794147,0.993 +195823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.313088739,0.993 +195824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,11.24271194,0.993 +195825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.645454544,0.993 +195826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.903737239,0.993 +195827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.947544596,0.993 +195828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.940077749,0.993 +195830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.458844552,0.993 +195829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.183999594,0.993 +195833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.789982785,0.993 +195832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.851597156,0.993 +195831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.180765125,0.993 +195834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.80558025,0.993 +195835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.991466798,0.993 +195836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.818242082,0.993 +195837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.752972384,0.993 +195838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.104040891,0.993 +195840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.270148947,0.993 +195839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.947888165,0.993 +195841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.706523793,0.993 +195844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.270841069,0.993 +195843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.806921573,0.993 +195842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.324838968,0.993 +195845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.286307274,0.993 +195847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.076767448,0.993 +195846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.391349273,0.993 +195848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.580907742,0.993 +195849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.804257798,0.993 +195851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,11.08937606,0.993 +195850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.543341889,0.993 +195853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.482091929,0.993 +195854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,10.50405128,0.993 +195855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.46798776,0.993 +195852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,15.8174173,0.993 +195856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.878069477,0.993 +195857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.680668616,0.993 +195858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.740860186,0.993 +195860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.603956763,0.993 +195859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.800150829,0.993 +195861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.387096377,0.993 +195862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.907207512,0.993 +195863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.594661027,0.993 +195864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.696589594,0.993 +195865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.22837111,0.993 +195866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.44907086,0.993 +195867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.212097751,0.993 +195868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.492565898,0.993 +195869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.647690662,0.993 +195870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.647717549,0.993 +195871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.334405934,0.993 +195873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,0.576298875,0.993 +195874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.206551965,0.993 +195875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.039323385,0.993 +195876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.384713548,0.993 +195877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.387929099,0.993 +195872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.27515642,0.993 +195878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.892592031,0.993 +195881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.559216896,0.993 +195879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.906723883,0.993 +195880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.068008035,0.993 +195882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.295619265,0.993 +195883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.514138823,0.993 +195884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.594816149,0.993 +195885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.494979328,0.993 +195886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.044415635,0.993 +195887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.768566175,0.993 +195888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.676110658,0.993 +195889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.003411861,0.993 +195890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.139350529,0.993 +195892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.739362117,0.993 +195893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.312528699,0.993 +195891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,0.291223698,0.993 +195894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.600626568,0.993 +195895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.413670892,0.993 +195896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.568157158,0.993 +195897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.302041615,0.993 +195898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.33745305,0.993 +195899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.05142086,0.993 +195900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.050597527,0.993 +195901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.099215655,0.993 +195902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.415613982,0.993 +195903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.788207039,0.993 +195904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.95269161,0.993 +195905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.601107471,0.993 +195906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.114485275,0.993 +195907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.207455158,0.993 +195908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.341645826,0.993 +195910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.622910939,0.993 +195911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,9.08087835,0.993 +195909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.150958526,0.993 +195913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.80279073,0.993 +195914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.171965529,0.993 +195912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.195447464,0.993 +195915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.778332279,0.993 +195916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.750426048,0.993 +195917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.7292471,0.993 +195919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.828965386,0.993 +195920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.723628005,0.993 +195921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.254327416,0.993 +195918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.373987048,0.993 +195922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.885665085,0.993 +195923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.574316748,0.993 +195925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.812677666,0.993 +195924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,0.987457481,0.993 +195928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.611026162,0.993 +195927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.981505636,0.993 +195926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.966725029,0.993 +195929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.288087079,0.993 +195931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.107849373,0.993 +195930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.453169891,0.993 +195932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.420564704,0.993 +195933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.584792609,0.993 +195934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,10.09525181,0.993 +195936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.469641439,0.993 +195937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.55380727,0.993 +195938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.198448198,0.993 +195935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.11880336,0.993 +195940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.891898508,0.993 +195941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.484502004,0.993 +195942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.004409583,0.993 +195939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.567061436,0.993 +195943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,9.52704238,0.993 +195944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.585065146,0.993 +195945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,9.044817495,0.993 +195946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.005522163,0.993 +195947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.866399561,0.993 +195948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.547001482,0.993 +195949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.608309677,0.993 +195950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.911803488,0.993 +195951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.321243735,0.993 +195953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.736334016,0.993 +195954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.742470637,0.993 +195955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.440553093,0.993 +195956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.864282682,0.993 +195952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.710838352,0.993 +195958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.360230196,0.993 +195957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.481328042,0.993 +195959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.115175715,0.993 +195960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.040533385,0.993 +195961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.508316172,0.993 +195962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.030967009,0.993 +195963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.012953968,0.993 +195964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.190178067,0.993 +195965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.546099884,0.993 +195967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.402763627,0.993 +195966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.788999841,0.993 +195968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.136841194,0.993 +195969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.30220728,0.993 +195970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.615635909,0.993 +195971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.807594667,0.993 +195973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.048090276,0.993 +195972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.073671419,0.993 +195974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.322196391,0.993 +195976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.643991304,0.993 +195977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.447171297,0.993 +195978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.673893663,0.993 +195979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,11.26445631,0.993 +195975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.562370508,0.993 +195980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,0.968299547,0.993 +195981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.142663817,0.993 +195982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,6.226069375,0.993 +195984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.644527665,0.993 +195983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,0.524325356,0.993 +195985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.047795816,0.993 +195987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.395023732,0.993 +195988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,8.390843211,0.993 +195986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,-1.519023094,0.993 +195989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.506002943,0.993 +195990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.621981611,0.993 +195992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,0.863379343,0.993 +195991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,5.93791113,0.993 +195993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,4.194520319,0.993 +195994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,2.523328404,0.993 +195995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.06125533,0.993 +195997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,14.08999834,0.993 +195998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,7.877242082,0.993 +195999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.918765059,0.993 +195996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,1.569149347,0.993 +196000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,6,1,3.432160378,0.993 +205002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.47303583,0.982 +205001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.823546557,0.982 +205003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.953831057,0.982 +205004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.124997032,0.982 +205005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.384515855,0.982 +205006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.017358676,0.982 +205007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,12.41457175,0.982 +205008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.007395153,0.982 +205009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.258983752,0.982 +205011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.657243544,0.982 +205012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.197824213,0.982 +205013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.887655799,0.982 +205010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.262417685,0.982 +205015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.360855653,0.982 +205016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.457616985,0.982 +205014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.205806587,0.982 +205018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.059192509,0.982 +205017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.199028922,0.982 +205019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.120196849,0.982 +205020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.280643716,0.982 +205023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.707349304,0.982 +205022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.199890836,0.982 +205024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,9.696500759,0.982 +205021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.96220155,0.982 +205025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.548095672,0.982 +205027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.968903164,0.982 +205028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.400983304,0.982 +205029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.809032786,0.982 +205026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.500427752,0.982 +205030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.598730331,0.982 +205031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.194257082,0.982 +205032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,-0.257541957,0.982 +205033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.892011271,0.982 +205035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.15013746,0.982 +205034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.764763825,0.982 +205036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.962988723,0.982 +205037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.258093291,0.982 +205039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.987931045,0.982 +205040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.628447224,0.982 +205042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.640326921,0.982 +205041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.489204516,0.982 +205038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.914810798,0.982 +205043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.679846989,0.982 +205044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.399129904,0.982 +205046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.49746343,0.982 +205045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.881368384,0.982 +205047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.437129556,0.982 +205049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.436388985,0.982 +205048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.250854756,0.982 +205050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.150437816,0.982 +205052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.031887542,0.982 +205051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.097314538,0.982 +205053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.094903232,0.982 +205054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.961951122,0.982 +205056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.649597195,0.982 +205057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,0.848348805,0.982 +205055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,-0.508761048,0.982 +205059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.207045201,0.982 +205058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.909434947,0.982 +205060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.21564835,0.982 +205062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.807009789,0.982 +205061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.908787104,0.982 +205063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.201254562,0.982 +205065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.342118099,0.982 +205064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.939374968,0.982 +205066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.41388422,0.982 +205068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.893690534,0.982 +205067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.099625662,0.982 +205069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,9.310684931,0.982 +205070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.095081269,0.982 +205071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.217717613,0.982 +205072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.621633942,0.982 +205073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.768361295,0.982 +205075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.181030568,0.982 +205074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.840944561,0.982 +205077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.678437992,0.982 +205079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.7835524,0.982 +205076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.169866612,0.982 +205080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.553236938,0.982 +205081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,-2.002707355,0.982 +205078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.156970749,0.982 +205082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.574542986,0.982 +205083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.788179295,0.982 +205084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.496603771,0.982 +205085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.164106491,0.982 +205086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.041744204,0.982 +205088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.980400369,0.982 +205087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,0.42085029,0.982 +205089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.950512522,0.982 +205090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.44965338,0.982 +205093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.381524157,0.982 +205092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.917741127,0.982 +205094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.790403837,0.982 +205096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.882282691,0.982 +205091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.837162995,0.982 +205095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.912703184,0.982 +205098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.091190587,0.982 +205099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.732363734,0.982 +205100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,0.34022768,0.982 +205097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.783411036,0.982 +205102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.182844122,0.982 +205101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.977212311,0.982 +205103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.739163038,0.982 +205104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.322658132,0.982 +205105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.475657076,0.982 +205106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.807391379,0.982 +205107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.105750502,0.982 +205108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.806394893,0.982 +205110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.33461501,0.982 +205111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.053586347,0.982 +205109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.242031148,0.982 +205113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.537472194,0.982 +205114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.171322488,0.982 +205115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,0.252955879,0.982 +205112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.375303395,0.982 +205116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.193458398,0.982 +205117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.051279684,0.982 +205118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.474654276,0.982 +205120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.919363411,0.982 +205121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.763429827,0.982 +205119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.913174418,0.982 +205122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.328323922,0.982 +205124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.443475237,0.982 +205123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.546026052,0.982 +205126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.802623333,0.982 +205125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.860428513,0.982 +205127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.098034802,0.982 +205128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.836170484,0.982 +205129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.367579133,0.982 +205130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.12375134,0.982 +205132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.048907636,0.982 +205131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.38790637,0.982 +205133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,11.27630535,0.982 +205135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.497171857,0.982 +205136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.962320959,0.982 +205137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.840190228,0.982 +205139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.821641785,0.982 +205134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,0.978926736,0.982 +205138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.821521257,0.982 +205140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.013204123,0.982 +205141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,9.400681785,0.982 +205142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.399362774,0.982 +205143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.394273833,0.982 +205144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.59971797,0.982 +205145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.392393566,0.982 +205146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.655149986,0.982 +205147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,9.625145463,0.982 +205148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,10.32872141,0.982 +205149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.322496409,0.982 +205151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.182382392,0.982 +205150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.341825919,0.982 +205152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.760725364,0.982 +205153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.372076711,0.982 +205156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,10.38690048,0.982 +205154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.592702753,0.982 +205155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.563639468,0.982 +205157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.383734434,0.982 +205158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.341598565,0.982 +205159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.369197039,0.982 +205160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.60311972,0.982 +205161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.119764203,0.982 +205162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.982026478,0.982 +205163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.974363885,0.982 +205164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.252422752,0.982 +205165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.817180319,0.982 +205166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.823609526,0.982 +205167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.533736,0.982 +205169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.261178427,0.982 +205168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,9.747674825,0.982 +205170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.008068327,0.982 +205171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.099031054,0.982 +205172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.789524679,0.982 +205173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.093158753,0.982 +205174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.442181953,0.982 +205175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.185704595,0.982 +205176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,9.69552852,0.982 +205177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.298011493,0.982 +205178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.360568552,0.982 +205179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,-0.389840977,0.982 +205180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,-0.232384538,0.982 +205182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.174646061,0.982 +205183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.532908032,0.982 +205184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.325095644,0.982 +205181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.253440501,0.982 +205185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.438982915,0.982 +205186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.425912893,0.982 +205187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.925670562,0.982 +205188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,0.165978494,0.982 +205189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.472334905,0.982 +205190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.702720113,0.982 +205191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.986660164,0.982 +205192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.481220168,0.982 +205193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.026226285,0.982 +205194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.788484993,0.982 +205195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.191427556,0.982 +205196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.6567044,0.982 +205197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.96580968,0.982 +205199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.829135884,0.982 +205198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.190508106,0.982 +205200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.971075302,0.982 +205201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.330436808,0.982 +205202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.442224091,0.982 +205203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.54607814,0.982 +205204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.070867426,0.982 +205206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,14.29133016,0.982 +205205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.931195206,0.982 +205207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.346380237,0.982 +205209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.030325011,0.982 +205210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.992799482,0.982 +205211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.368994032,0.982 +205208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.952557659,0.982 +205214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.130658463,0.982 +205213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,9.800902763,0.982 +205212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.749020639,0.982 +205215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.048636275,0.982 +205216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.268810205,0.982 +205217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.133934096,0.982 +205218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.12833362,0.982 +205222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.655134682,0.982 +205220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,9.748743511,0.982 +205221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.446522189,0.982 +205219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.953256078,0.982 +205223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.021434764,0.982 +205225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.5301496,0.982 +205224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.550740741,0.982 +205228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.056536935,0.982 +205229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.029197386,0.982 +205227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.02347178,0.982 +205226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.865056207,0.982 +205231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,0.928075175,0.982 +205230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.806642471,0.982 +205232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,12.11084472,0.982 +205233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.320827701,0.982 +205234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,10.66494448,0.982 +205235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,9.803245113,0.982 +205236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.263269042,0.982 +205237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.731635616,0.982 +205239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.761877714,0.982 +205238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.824709922,0.982 +205240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.949917054,0.982 +205242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,0.973772778,0.982 +205243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.330364351,0.982 +205245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.006201374,0.982 +205246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.796452736,0.982 +205241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.908924471,0.982 +205244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.166298138,0.982 +205250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.093070033,0.982 +205247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,10.47012475,0.982 +205249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,10.37009157,0.982 +205248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,9.848143181,0.982 +205252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.830885251,0.982 +205251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,9.38023272,0.982 +205253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.293339196,0.982 +205254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.949478614,0.982 +205255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.005662215,0.982 +205256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.375746104,0.982 +205258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.11252604,0.982 +205257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.400341406,0.982 +205259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.307157253,0.982 +205260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.336730458,0.982 +205261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.630682332,0.982 +205264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.505593966,0.982 +205262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.699261934,0.982 +205263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,9.096612693,0.982 +205265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.219396086,0.982 +205267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,10.39727731,0.982 +205266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.926466484,0.982 +205268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.861876419,0.982 +205269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,-0.905319546,0.982 +205271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.711438333,0.982 +205270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.392285709,0.982 +205272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.412023184,0.982 +205273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.877476784,0.982 +205274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,0.054692018,0.982 +205275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,15.65821319,0.982 +205276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.388506821,0.982 +205277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.859470097,0.982 +205278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.003853431,0.982 +205280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.791929845,0.982 +205279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.052770376,0.982 +205281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.452517008,0.982 +205282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.647748063,0.982 +205283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.110296083,0.982 +205284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.28925078,0.982 +205285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.625376372,0.982 +205286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.817254362,0.982 +205287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.715146542,0.982 +205288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.479335102,0.982 +205289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,11.34058223,0.982 +205290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,9.256079626,0.982 +205291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.423346903,0.982 +205294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.329455773,0.982 +205293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.830438031,0.982 +205292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.237209794,0.982 +205295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.389568319,0.982 +205296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,9.106393291,0.982 +205297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,-0.13508026,0.982 +205298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.999956599,0.982 +205299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.26896819,0.982 +205300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.254088711,0.982 +205301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.845332319,0.982 +205303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.80137295,0.982 +205302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.478334508,0.982 +205304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.908154857,0.982 +205305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.144722521,0.982 +205306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.959116515,0.982 +205308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.531743294,0.982 +205309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.197325249,0.982 +205307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.680189504,0.982 +205310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.110477655,0.982 +205311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.578742417,0.982 +205312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.264984086,0.982 +205313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.900953423,0.982 +205314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.472497579,0.982 +205315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.817634488,0.982 +205316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.02928222,0.982 +205318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,11.94799141,0.982 +205319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.794063418,0.982 +205317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.176592979,0.982 +205320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.041548776,0.982 +205321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,9.669289884,0.982 +205322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.89574491,0.982 +205324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,0.035845749,0.982 +205323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.06055026,0.982 +205325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.053483612,0.982 +205326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.1727353,0.982 +205327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.216466039,0.982 +205328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.462824134,0.982 +205329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,10.8957881,0.982 +205330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.256289994,0.982 +205331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.517566508,0.982 +205333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.786167031,0.982 +205334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,0.622628793,0.982 +205335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.0495837,0.982 +205332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.013761518,0.982 +205336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.980565963,0.982 +205337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.692119055,0.982 +205338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.861232575,0.982 +205339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.601935112,0.982 +205340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,-0.245392998,0.982 +205342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.227582694,0.982 +205343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.588398306,0.982 +205341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.732469428,0.982 +205344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.92020462,0.982 +205345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.781178012,0.982 +205347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.769121718,0.982 +205348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.876373778,0.982 +205346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,9.102092416,0.982 +205349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.764848945,0.982 +205350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.67251913,0.982 +205351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,-0.165219566,0.982 +205353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.473609961,0.982 +205354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.983835493,0.982 +205352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.085276678,0.982 +205355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.62581568,0.982 +205356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.428169242,0.982 +205357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,0.323423392,0.982 +205358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.283638361,0.982 +205359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.645387007,0.982 +205360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.696397995,0.982 +205361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.316165749,0.982 +205363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.931027641,0.982 +205364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.214555917,0.982 +205362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.509655377,0.982 +205365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.170085583,0.982 +205367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.686909568,0.982 +205366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.059361102,0.982 +205369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.288893499,0.982 +205370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.483322848,0.982 +205368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.129497709,0.982 +205371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.648554368,0.982 +205372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.838844107,0.982 +205374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.432506546,0.982 +205373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,9.199022259,0.982 +205375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.304066089,0.982 +205376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.715500363,0.982 +205378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.438366635,0.982 +205379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.186080921,0.982 +205377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.00448493,0.982 +205380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.756243755,0.982 +205381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.232441399,0.982 +205382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,9.911995113,0.982 +205383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.955133275,0.982 +205384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.257790736,0.982 +205385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.677882034,0.982 +205386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.109065896,0.982 +205389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.09380334,0.982 +205388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.701809353,0.982 +205390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.648741713,0.982 +205391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.379913954,0.982 +205387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.077085958,0.982 +205393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.950926303,0.982 +205392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,0.758680027,0.982 +205394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.414658998,0.982 +205395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.704170778,0.982 +205396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.410828087,0.982 +205397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.118888687,0.982 +205398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.148041141,0.982 +205400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.231862865,0.982 +205399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.465730745,0.982 +205401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.830981013,0.982 +205404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.881864485,0.982 +205402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.570813429,0.982 +205403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,0.467933799,0.982 +205405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.291533734,0.982 +205407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.687370032,0.982 +205408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.690120852,0.982 +205406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,9.910996826,0.982 +205409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.013507317,0.982 +205410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.683226122,0.982 +205411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.824751651,0.982 +205413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.648075518,0.982 +205414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.23818473,0.982 +205415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.642212591,0.982 +205412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.578700996,0.982 +205416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.822879459,0.982 +205419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.495690509,0.982 +205417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.56664911,0.982 +205420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.259062077,0.982 +205418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.008402982,0.982 +205422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,-0.492377999,0.982 +205421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.135008195,0.982 +205424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.654566187,0.982 +205425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.57411307,0.982 +205427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.263740091,0.982 +205423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.237367491,0.982 +205428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.625407349,0.982 +205430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.008951154,0.982 +205429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.489473097,0.982 +205426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.082997174,0.982 +205432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.656944528,0.982 +205435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.676565459,0.982 +205431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.186689344,0.982 +205433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.344043432,0.982 +205434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.697898095,0.982 +205437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.614513932,0.982 +205438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.743295708,0.982 +205439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.661105031,0.982 +205440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.058272779,0.982 +205441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.079275453,0.982 +205436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.705962637,0.982 +205442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.330317677,0.982 +205443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,10.5707259,0.982 +205444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.693683625,0.982 +205445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.332756838,0.982 +205447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.533299494,0.982 +205449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.246187064,0.982 +205448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.802097151,0.982 +205446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,0.75471467,0.982 +205450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.952282083,0.982 +205451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.672211015,0.982 +205452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.747422599,0.982 +205454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,0.09501594,0.982 +205453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.18300112,0.982 +205456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.32544864,0.982 +205455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.58914096,0.982 +205457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.830859332,0.982 +205458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.351791165,0.982 +205459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.426004998,0.982 +205461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.703393275,0.982 +205460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,0.806702252,0.982 +205463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.544599452,0.982 +205462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.232331525,0.982 +205465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.724078665,0.982 +205464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.815393518,0.982 +205466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.777802035,0.982 +205467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.562282627,0.982 +205468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.853514072,0.982 +205469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.018472175,0.982 +205470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.648224609,0.982 +205471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,9.505931253,0.982 +205473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.547514388,0.982 +205474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.204473047,0.982 +205476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.548578156,0.982 +205475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.065124762,0.982 +205472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.034545251,0.982 +205477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.533317736,0.982 +205480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.733119766,0.982 +205479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.24724932,0.982 +205478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.348980776,0.982 +205481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.962131778,0.982 +205483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.414267192,0.982 +205482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.555390095,0.982 +205484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.017801162,0.982 +205485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.803400309,0.982 +205486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.646562982,0.982 +205487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,11.2165781,0.982 +205488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.774516802,0.982 +205489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.273852998,0.982 +205490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.730972375,0.982 +205491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.695918534,0.982 +205492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.703728097,0.982 +205494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.468401388,0.982 +205493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,0.293604075,0.982 +205496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,0.534118694,0.982 +205495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.25818281,0.982 +205498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.330740262,0.982 +205497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.340739565,0.982 +205499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.848142566,0.982 +205500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.207407539,0.982 +205502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,-0.309681788,0.982 +205501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.551757092,0.982 +205504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.227020448,0.982 +205505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.37832678,0.982 +205506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.850704158,0.982 +205503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.40829121,0.982 +205508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.88219423,0.982 +205507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.538453675,0.982 +205509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.706753981,0.982 +205510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.073321917,0.982 +205511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.641297526,0.982 +205513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.12466213,0.982 +205514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.864411589,0.982 +205515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.569181097,0.982 +205512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.904284248,0.982 +205516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.527559954,0.982 +205517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.979503769,0.982 +205518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.849474343,0.982 +205520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.794371761,0.982 +205521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.45779397,0.982 +205522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.716888984,0.982 +205519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.912628974,0.982 +205523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,10.51149601,0.982 +205526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,12.2839823,0.982 +205525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.18694142,0.982 +205524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.168490907,0.982 +205527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.391139098,0.982 +205528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.271745559,0.982 +205529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.472918502,0.982 +205530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,13.39708222,0.982 +205531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.553594937,0.982 +205533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.165668699,0.982 +205534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.087285882,0.982 +205535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,11.25376904,0.982 +205536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.896209895,0.982 +205532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.208304099,0.982 +205537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.256514209,0.982 +205538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.890527422,0.982 +205540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.999753331,0.982 +205539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,0.821225088,0.982 +205541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.435898759,0.982 +205542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.873938223,0.982 +205543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.0281918,0.982 +205544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.200455319,0.982 +205546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.763677727,0.982 +205547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.613467023,0.982 +205548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.512128038,0.982 +205545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.275346021,0.982 +205550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.09437607,0.982 +205551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.800571865,0.982 +205552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.420586533,0.982 +205553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.958162004,0.982 +205549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.01093432,0.982 +205555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,-0.101309775,0.982 +205557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.008392048,0.982 +205554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.085072914,0.982 +205558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.790043283,0.982 +205556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.796092707,0.982 +205559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.749203455,0.982 +205560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.776803289,0.982 +205562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.813534335,0.982 +205564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.546589894,0.982 +205563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.976986819,0.982 +205561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.416848449,0.982 +205565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.868856082,0.982 +205566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.846310447,0.982 +205568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.387928014,0.982 +205569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.818433614,0.982 +205567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.204960458,0.982 +205571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.854741009,0.982 +205570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,9.00309212,0.982 +205573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.756035068,0.982 +205572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.126009166,0.982 +205574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.194115446,0.982 +205575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.496291048,0.982 +205576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.808275707,0.982 +205577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,9.678765988,0.982 +205578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.24662214,0.982 +205579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.412701555,0.982 +205581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.348245894,0.982 +205580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.445176375,0.982 +205582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.536561494,0.982 +205583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.977299869,0.982 +205584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.764213891,0.982 +205585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.172962279,0.982 +205587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.782484826,0.982 +205586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.372214334,0.982 +205588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,9.451762918,0.982 +205590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.512277324,0.982 +205589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.796890647,0.982 +205591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.812950233,0.982 +205592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.39911107,0.982 +205593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.484470665,0.982 +205594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.931454763,0.982 +205595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.054751557,0.982 +205596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,-0.526731875,0.982 +205597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,0.932731173,0.982 +205598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.959232347,0.982 +205600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.288680453,0.982 +205599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.748975933,0.982 +205601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,15.07583858,0.982 +205602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.558986229,0.982 +205603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,9.823955114,0.982 +205606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,13.26624282,0.982 +205605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.442217465,0.982 +205607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.599968642,0.982 +205604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.244906702,0.982 +205608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.700065349,0.982 +205609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.491121055,0.982 +205610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.925056174,0.982 +205613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.556073488,0.982 +205612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.879755036,0.982 +205611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.599948491,0.982 +205614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.512626046,0.982 +205616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.998233471,0.982 +205615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.073279941,0.982 +205617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.799996628,0.982 +205619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.456124921,0.982 +205618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.691505383,0.982 +205620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.075430691,0.982 +205622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,9.300188522,0.982 +205623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.687917039,0.982 +205624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.761839054,0.982 +205625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.62411103,0.982 +205621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.011777566,0.982 +205626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.419478158,0.982 +205627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.310559406,0.982 +205628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.394232011,0.982 +205630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.424912119,0.982 +205631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.61943509,0.982 +205629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.409646024,0.982 +205632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.076276963,0.982 +205635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.377766424,0.982 +205634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.64741531,0.982 +205633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.788137168,0.982 +205636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.677518871,0.982 +205637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.635998503,0.982 +205638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,11.72829154,0.982 +205639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.312380849,0.982 +205640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,10.39750998,0.982 +205642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,12.34976369,0.982 +205644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.841815238,0.982 +205643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.211305071,0.982 +205641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.61530808,0.982 +205645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.017262032,0.982 +205647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.521375061,0.982 +205648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,0.656004772,0.982 +205646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.416064745,0.982 +205650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.675258705,0.982 +205649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.813191012,0.982 +205651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.061270686,0.982 +205652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.766463582,0.982 +205653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.38763475,0.982 +205654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.65595342,0.982 +205656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.286984429,0.982 +205658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.810849287,0.982 +205657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.818033375,0.982 +205655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,9.520955901,0.982 +205659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.507903264,0.982 +205660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.336302553,0.982 +205661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,0.46783795,0.982 +205662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.67565081,0.982 +205664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.355225781,0.982 +205665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.755013374,0.982 +205663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.140516283,0.982 +205666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.290369136,0.982 +205667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.666821619,0.982 +205669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.934442817,0.982 +205668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.109260846,0.982 +205670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,12.21494845,0.982 +205671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.038654449,0.982 +205672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.294911257,0.982 +205673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.183688295,0.982 +205674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.499982868,0.982 +205675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.751846265,0.982 +205676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.376579304,0.982 +205677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.713216393,0.982 +205678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.450196292,0.982 +205680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.326046659,0.982 +205679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.845176021,0.982 +205681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.124889613,0.982 +205682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.306523367,0.982 +205683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.722418713,0.982 +205684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.651231249,0.982 +205685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.435291351,0.982 +205687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.207537876,0.982 +205686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.442521118,0.982 +205688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.20273242,0.982 +205689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.360024276,0.982 +205690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.251202749,0.982 +205692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.954958262,0.982 +205691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.551467153,0.982 +205693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.782596227,0.982 +205694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.036939906,0.982 +205695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.231101191,0.982 +205696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.138234512,0.982 +205698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.737038668,0.982 +205699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.72061238,0.982 +205700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.060972516,0.982 +205697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.929201096,0.982 +205701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.853368175,0.982 +205702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.296719555,0.982 +205703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.71427192,0.982 +205705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,0.64891969,0.982 +205706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.218004425,0.982 +205704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.907950173,0.982 +205707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.034584685,0.982 +205708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.266699727,0.982 +205710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.924101721,0.982 +205709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.630404146,0.982 +205712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.318497692,0.982 +205711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.098594219,0.982 +205713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.616644882,0.982 +205714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.594515702,0.982 +205715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,11.33322012,0.982 +205716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.020108412,0.982 +205718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.52771337,0.982 +205719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,9.954489137,0.982 +205720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.259773253,0.982 +205717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.027943109,0.982 +205721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.134871735,0.982 +205722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.047260454,0.982 +205723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.357161816,0.982 +205724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.771217638,0.982 +205728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.737025443,0.982 +205725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.360145701,0.982 +205726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.941532972,0.982 +205727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.84577397,0.982 +205729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.198154146,0.982 +205730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.167191991,0.982 +205731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.737357593,0.982 +205732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.170403358,0.982 +205734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.064023869,0.982 +205735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,11.11626541,0.982 +205736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.243161453,0.982 +205737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.561530211,0.982 +205738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.930896528,0.982 +205733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.274713082,0.982 +205739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.634175465,0.982 +205740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.636889935,0.982 +205742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.490867747,0.982 +205741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.048749033,0.982 +205744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.680155747,0.982 +205743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,9.013494203,0.982 +205745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.894898166,0.982 +205746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.571857942,0.982 +205747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,10.83883643,0.982 +205750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.422146232,0.982 +205748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.710992072,0.982 +205749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.628294686,0.982 +205751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,0.271231437,0.982 +205752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.799505083,0.982 +205754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.267015316,0.982 +205753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.913741971,0.982 +205756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.638007708,0.982 +205755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.951514284,0.982 +205758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,-0.367394651,0.982 +205759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.08368748,0.982 +205760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.035876233,0.982 +205761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.095575059,0.982 +205757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.122781738,0.982 +205762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.633143444,0.982 +205763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.926278133,0.982 +205764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.860575338,0.982 +205765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.172134491,0.982 +205766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.751712663,0.982 +205767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.817254039,0.982 +205768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.877956551,0.982 +205769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.704467843,0.982 +205770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.884104608,0.982 +205771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,-0.38262097,0.982 +205773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,10.28729621,0.982 +205774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,10.01100702,0.982 +205772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.88251488,0.982 +205775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.052895535,0.982 +205778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.765930332,0.982 +205777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.653307254,0.982 +205779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.020555942,0.982 +205781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,14.51856859,0.982 +205780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.367821885,0.982 +205782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.269031709,0.982 +205776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.786032512,0.982 +205783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.528942261,0.982 +205784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.261616204,0.982 +205786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.063667681,0.982 +205785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.324898951,0.982 +205788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.034425009,0.982 +205787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.925828966,0.982 +205789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.952230205,0.982 +205790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.085133607,0.982 +205792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.992061101,0.982 +205791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.871080338,0.982 +205793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.173121662,0.982 +205794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.982275034,0.982 +205795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.367660582,0.982 +205796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.250825868,0.982 +205798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.780138534,0.982 +205799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.373654593,0.982 +205800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.94517302,0.982 +205797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.899747226,0.982 +205801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.204664244,0.982 +205803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.82635218,0.982 +205802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.930017082,0.982 +205804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.804295276,0.982 +205805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.909125048,0.982 +205806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.866559016,0.982 +205807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.905610269,0.982 +205808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.44158546,0.982 +205809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,9.403109096,0.982 +205810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.949145813,0.982 +205811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.126992234,0.982 +205812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.96670395,0.982 +205813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.218566494,0.982 +205814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.725529733,0.982 +205815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.290559834,0.982 +205818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.909449955,0.982 +205819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.353638369,0.982 +205817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.585676369,0.982 +205816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.923206285,0.982 +205820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.496755249,0.982 +205821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.999511719,0.982 +205822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.840238881,0.982 +205823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.690430225,0.982 +205826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.204034658,0.982 +205824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.999510136,0.982 +205825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.126027173,0.982 +205828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.534982813,0.982 +205827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.990584017,0.982 +205829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.552882768,0.982 +205830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.069021706,0.982 +205832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.610501158,0.982 +205831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.152695969,0.982 +205833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.524525504,0.982 +205834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.776206215,0.982 +205836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.072021099,0.982 +205835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.029880164,0.982 +205837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.936860748,0.982 +205838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.607196368,0.982 +205839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.09843694,0.982 +205841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.520365895,0.982 +205840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.686151521,0.982 +205842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.502006321,0.982 +205843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.946400497,0.982 +205844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.278133186,0.982 +205845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.514574891,0.982 +205846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.662283576,0.982 +205847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.466543406,0.982 +205848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.472513646,0.982 +205850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,9.251922942,0.982 +205851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.57692589,0.982 +205853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.186370782,0.982 +205852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,-0.838420618,0.982 +205854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,-0.020255732,0.982 +205849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,10.26524157,0.982 +205856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.242864018,0.982 +205855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.212063256,0.982 +205857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.626247739,0.982 +205860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.636171519,0.982 +205859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.096296827,0.982 +205858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.811492456,0.982 +205861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.50665282,0.982 +205863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,0.395658437,0.982 +205862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.862688297,0.982 +205864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.834666305,0.982 +205865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.182372696,0.982 +205866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.532040929,0.982 +205867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,10.85288946,0.982 +205869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.79054388,0.982 +205868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.42858245,0.982 +205870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.655062897,0.982 +205871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.941212076,0.982 +205872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.204397554,0.982 +205874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.449112677,0.982 +205875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,10.41358242,0.982 +205876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.549254822,0.982 +205878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.13523276,0.982 +205873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.701389472,0.982 +205877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.993822535,0.982 +205879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,-1.84168461,0.982 +205881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.207359959,0.982 +205880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.394996539,0.982 +205882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.701804167,0.982 +205883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.160308133,0.982 +205885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.668306837,0.982 +205886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.560637548,0.982 +205887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.641296995,0.982 +205884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.833813242,0.982 +205888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.357433907,0.982 +205890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.897700388,0.982 +205889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.739019486,0.982 +205892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.751175219,0.982 +205891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.177046126,0.982 +205893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.480375704,0.982 +205894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.621134069,0.982 +205895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.202680282,0.982 +205896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.312628039,0.982 +205897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.806195549,0.982 +205898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.451383567,0.982 +205899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.575508883,0.982 +205901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.0210174,0.982 +205900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.772039479,0.982 +205902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.563695964,0.982 +205903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.436786097,0.982 +205904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.333536364,0.982 +205905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.667061155,0.982 +205906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.192820711,0.982 +205907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.729739772,0.982 +205910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.365799221,0.982 +205909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.008742149,0.982 +205911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.193101225,0.982 +205908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.725085,0.982 +205912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.231902071,0.982 +205914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.001403749,0.982 +205915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.269377923,0.982 +205913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.080572937,0.982 +205916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.993231664,0.982 +205917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.660957401,0.982 +205919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,0.310840986,0.982 +205918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.167412786,0.982 +205920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,10.11460829,0.982 +205921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.690528343,0.982 +205922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.259763817,0.982 +205923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.13636839,0.982 +205925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.179271322,0.982 +205924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.675098995,0.982 +205926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.550688305,0.982 +205927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.812424273,0.982 +205928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.222436749,0.982 +205929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.782289897,0.982 +205930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.338217108,0.982 +205932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.885190575,0.982 +205933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.744701759,0.982 +205931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.73477225,0.982 +205934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.537078725,0.982 +205936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.183055331,0.982 +205935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.553231432,0.982 +205938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.310696739,0.982 +205937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.614832786,0.982 +205939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.624138634,0.982 +205942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.685717306,0.982 +205940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.240381586,0.982 +205941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.798576461,0.982 +205943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.434277997,0.982 +205945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.399827809,0.982 +205944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,0.769597973,0.982 +205946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.96143193,0.982 +205947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.4093945,0.982 +205948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.831164052,0.982 +205949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.529867102,0.982 +205950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.290719748,0.982 +205951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.211546208,0.982 +205952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.057284084,0.982 +205953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.326409846,0.982 +205954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.852585575,0.982 +205955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.561346013,0.982 +205958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,10.69391528,0.982 +205959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.692170992,0.982 +205956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.82424542,0.982 +205957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.109121687,0.982 +205960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.478117267,0.982 +205961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.911460887,0.982 +205962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.407425505,0.982 +205963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.096491607,0.982 +205964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.867597142,0.982 +205965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.683842613,0.982 +205967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.402586568,0.982 +205968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.741732653,0.982 +205966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.889384891,0.982 +205969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.374665346,0.982 +205970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,9.561576957,0.982 +205972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.730015032,0.982 +205973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.460609084,0.982 +205971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,8.059955877,0.982 +205976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,12.92876192,0.982 +205974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.297893763,0.982 +205977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,13.04620532,0.982 +205975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.379264796,0.982 +205978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.955832255,0.982 +205979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,0.484357184,0.982 +205980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.725222268,0.982 +205982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.275827578,0.982 +205981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.392443665,0.982 +205984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.777626952,0.982 +205983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.423448557,0.982 +205986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.959183141,0.982 +205988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.41113882,0.982 +205985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.63860591,0.982 +205987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,0.942329222,0.982 +205989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.820739348,0.982 +205991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.313125387,0.982 +205992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,5.48049586,0.982 +205990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,7.329695091,0.982 +205994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,6.067169976,0.982 +205995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.009532966,0.982 +205993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.514742788,0.982 +205997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,4.621691288,0.982 +205998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,1.837223248,0.982 +205996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,3.463278327,0.982 +205999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,11.14434665,0.982 +206000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,6,1,2.83905161,0.982 +6001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.016361231,0.959 +6002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,13.35380408,0.959 +6003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.414614556,0.959 +6004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.434879296,0.959 +6005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.228156898,0.959 +6006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.226730661,0.959 +6007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.281511766,0.959 +6008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.5075076,0.959 +6009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.676064529,0.959 +6010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,9.92702654,0.959 +6012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,12.55860618,0.959 +6011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.573044578,0.959 +6013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,10.90654441,0.959 +6014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.481271,0.959 +6015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.802905456,0.959 +6016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.857880952,0.959 +6017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,9.51085783,0.959 +6018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.133891256,0.959 +6019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.763143324,0.959 +6020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.449554598,0.959 +6022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.867646169,0.959 +6023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.018873992,0.959 +6024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.498217282,0.959 +6021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.350526157,0.959 +6025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.367915063,0.959 +6027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.471941974,0.959 +6028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.720017213,0.959 +6026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.74952803,0.959 +6029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.096323245,0.959 +6030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.507175853,0.959 +6032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.847059645,0.959 +6031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.672240293,0.959 +6033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.549364308,0.959 +6034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.638009206,0.959 +6035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.470474895,0.959 +6036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-1.938592499,0.959 +6037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.366658718,0.959 +6038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.965976676,0.959 +6039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.835488628,0.959 +6042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,10.63619473,0.959 +6040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.701363529,0.959 +6043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.382305518,0.959 +6041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.783747577,0.959 +6044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.469120997,0.959 +6046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.294685734,0.959 +6045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.614931527,0.959 +6047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.781623324,0.959 +6048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.263460964,0.959 +6049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.079650631,0.959 +6051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.661780341,0.959 +6050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.555307606,0.959 +6053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.833019672,0.959 +6052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.94873488,0.959 +6055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.560357865,0.959 +6054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.136092011,0.959 +6057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.529256297,0.959 +6056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.669845229,0.959 +6058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.642045642,0.959 +6059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,10.10969123,0.959 +6060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-0.616161478,0.959 +6062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.621355194,0.959 +6061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.077004584,0.959 +6063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.325187111,0.959 +6064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.977536436,0.959 +6065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.21907332,0.959 +6066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,10.84143706,0.959 +6067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.559595231,0.959 +6068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.283574035,0.959 +6070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.09263905,0.959 +6069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.849815992,0.959 +6072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.939602788,0.959 +6071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.382881475,0.959 +6074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.807218882,0.959 +6073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-0.917118118,0.959 +6075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.550138875,0.959 +6077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.506329533,0.959 +6078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.732110046,0.959 +6076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.139020584,0.959 +6079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.850581712,0.959 +6080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.265842984,0.959 +6081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.616962767,0.959 +6083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.728953613,0.959 +6082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.156950609,0.959 +6084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.815022649,0.959 +6085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-1.272145354,0.959 +6086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.511733232,0.959 +6087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,10.13471793,0.959 +6088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.95484451,0.959 +6089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.821570798,0.959 +6090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.24430777,0.959 +6092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.688638335,0.959 +6093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.366535335,0.959 +6094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.505969827,0.959 +6095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.583657118,0.959 +6091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.314940954,0.959 +6096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.653097434,0.959 +6097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.794695429,0.959 +6098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.514360638,0.959 +6100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.771400366,0.959 +6101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.276460569,0.959 +6099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.022439376,0.959 +6104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.774126125,0.959 +6103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.765780806,0.959 +6102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.760570405,0.959 +6105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.874028332,0.959 +6106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,11.81087044,0.959 +6108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.044419042,0.959 +6107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-1.129447144,0.959 +6110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.197242608,0.959 +6111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.293116545,0.959 +6112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.713489126,0.959 +6113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.917612943,0.959 +6109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.798018058,0.959 +6114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.414379022,0.959 +6115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.428084561,0.959 +6118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.290720248,0.959 +6116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.328176347,0.959 +6117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.9154544,0.959 +6119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.063361965,0.959 +6120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.306335093,0.959 +6121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.144962652,0.959 +6122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.675323191,0.959 +6123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.512251984,0.959 +6124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.30610941,0.959 +6125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.327218866,0.959 +6126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.322401396,0.959 +6127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.638573679,0.959 +6129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.016134124,0.959 +6128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.454583395,0.959 +6131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.22345604,0.959 +6132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.244759447,0.959 +6133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.05556648,0.959 +6130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.753299711,0.959 +6134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.771409923,0.959 +6135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,12.20630923,0.959 +6136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.561544343,0.959 +6137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.114058052,0.959 +6138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.559490744,0.959 +6139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.387874588,0.959 +6140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.533656484,0.959 +6141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.176335587,0.959 +6142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.836845967,0.959 +6143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.608878426,0.959 +6144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.005863733,0.959 +6145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.567239328,0.959 +6146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.309892108,0.959 +6147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.581668926,0.959 +6148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.886506746,0.959 +6149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.653410564,0.959 +6150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-0.488874362,0.959 +6151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.665998653,0.959 +6152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.008234463,0.959 +6153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,10.84720613,0.959 +6154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.555395463,0.959 +6155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.301247412,0.959 +6156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-1.739774864,0.959 +6157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.258736917,0.959 +6159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.913290686,0.959 +6161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.766053402,0.959 +6160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.622898721,0.959 +6158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.955770416,0.959 +6162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.833108421,0.959 +6163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.399213986,0.959 +6164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.467275182,0.959 +6165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.77677919,0.959 +6166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.845769541,0.959 +6167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-3.192487021,0.959 +6168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.335724352,0.959 +6170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-0.536009065,0.959 +6169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.588622899,0.959 +6171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.406218961,0.959 +6172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.681024513,0.959 +6173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.8278446,0.959 +6174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.822809792,0.959 +6175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.881051909,0.959 +6176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.14348052,0.959 +6177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.039941185,0.959 +6178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.834143777,0.959 +6179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.310029721,0.959 +6181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.575480725,0.959 +6180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.610398,0.959 +6183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-1.139143302,0.959 +6182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,10.38690875,0.959 +6185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.027189099,0.959 +6186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.007353578,0.959 +6184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.624730628,0.959 +6187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-0.998071658,0.959 +6188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.205428778,0.959 +6190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.175025399,0.959 +6191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-0.384978082,0.959 +6189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,11.23943812,0.959 +6192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.245057683,0.959 +6193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.544234415,0.959 +6194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.620148039,0.959 +6195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.433036768,0.959 +6196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.351615836,0.959 +6199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.931663808,0.959 +6197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.318719011,0.959 +6198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.954990069,0.959 +6200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,11.86645984,0.959 +6203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.222382567,0.959 +6201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.833348353,0.959 +6202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.461379877,0.959 +6204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-0.323491625,0.959 +6205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.219636254,0.959 +6206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.616928295,0.959 +6207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,13.42115989,0.959 +6208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.112362291,0.959 +6209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.955506054,0.959 +6210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.420608837,0.959 +6211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.649477584,0.959 +6212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.772211565,0.959 +6213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.544816683,0.959 +6214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.007660006,0.959 +6215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.663896632,0.959 +6216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.043948235,0.959 +6217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.149275258,0.959 +6218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.877714473,0.959 +6219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.836851495,0.959 +6220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.7256197,0.959 +6221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.771622379,0.959 +6222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.737141026,0.959 +6223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.916150871,0.959 +6224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.450417834,0.959 +6225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.811785099,0.959 +6226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.694504721,0.959 +6228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.47576598,0.959 +6227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.567471112,0.959 +6229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.962046366,0.959 +6230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.049895639,0.959 +6231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.385956621,0.959 +6232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.45639199,0.959 +6234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.08316168,0.959 +6233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.089466714,0.959 +6235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.449670358,0.959 +6236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.012640389,0.959 +6237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.970889112,0.959 +6239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.811349681,0.959 +6238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.224473856,0.959 +6241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.264273906,0.959 +6242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.571308971,0.959 +6240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.908349663,0.959 +6244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.715678156,0.959 +6245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.877995089,0.959 +6243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.303130468,0.959 +6247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,12.08303482,0.959 +6248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.484114237,0.959 +6246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.515039155,0.959 +6249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-0.365718025,0.959 +6250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,13.27733781,0.959 +6251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.011635927,0.959 +6253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.07939753,0.959 +6254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.104128875,0.959 +6252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,9.328490019,0.959 +6256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.224669209,0.959 +6255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.764809193,0.959 +6258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.067748173,0.959 +6259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.447657742,0.959 +6257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.689378645,0.959 +6260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.368571097,0.959 +6263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.303990888,0.959 +6264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.116248757,0.959 +6261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,9.123955907,0.959 +6262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.676579119,0.959 +6265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.283555786,0.959 +6266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.846576747,0.959 +6268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,12.73168929,0.959 +6267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.953899223,0.959 +6271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-0.090505282,0.959 +6270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.510895054,0.959 +6272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,9.072845042,0.959 +6269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.200937892,0.959 +6273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.098624074,0.959 +6274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.094316896,0.959 +6275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.342311318,0.959 +6276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.295624285,0.959 +6278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.867867275,0.959 +6277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.680227131,0.959 +6280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.954901223,0.959 +6281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.007638018,0.959 +6282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.615308143,0.959 +6283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.182338895,0.959 +6284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.042859492,0.959 +6279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.922272922,0.959 +6285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.644614379,0.959 +6289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.741923152,0.959 +6286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.995428036,0.959 +6288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.559093085,0.959 +6287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.189696849,0.959 +6291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.065965251,0.959 +6292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.889351873,0.959 +6293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,12.23502086,0.959 +6290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.187077868,0.959 +6294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.958913937,0.959 +6295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.863550173,0.959 +6296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.941234529,0.959 +6297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.691253904,0.959 +6298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.547530025,0.959 +6300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.155134732,0.959 +6301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.916903818,0.959 +6302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.543015011,0.959 +6299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.149252771,0.959 +6304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.539275821,0.959 +6305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.067782676,0.959 +6303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.014409818,0.959 +6306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.250237143,0.959 +6309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.96743683,0.959 +6307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.568190158,0.959 +6308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.033995177,0.959 +6310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.115620571,0.959 +6311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.192727816,0.959 +6313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.96430138,0.959 +6315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.08192794,0.959 +6316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.2309151,0.959 +6312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.654362239,0.959 +6319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.907294567,0.959 +6318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,10.20952711,0.959 +6317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,10.05339931,0.959 +6314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.591631306,0.959 +6320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.99147872,0.959 +6322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.889232915,0.959 +6321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.800640905,0.959 +6323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.366206127,0.959 +6324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.947944215,0.959 +6325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.132414338,0.959 +6326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.361895271,0.959 +6327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.235785216,0.959 +6329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.263510658,0.959 +6330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.601411346,0.959 +6328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.304644799,0.959 +6331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.742016695,0.959 +6334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.998413427,0.959 +6332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,9.14979214,0.959 +6333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.990371037,0.959 +6335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.374796548,0.959 +6336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.810759282,0.959 +6337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.147253713,0.959 +6338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.216382272,0.959 +6339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.092812025,0.959 +6340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.574761836,0.959 +6341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.499306265,0.959 +6342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.421770997,0.959 +6343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.400820662,0.959 +6345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.488351897,0.959 +6346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,9.418388138,0.959 +6344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.072898281,0.959 +6350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-2.097915388,0.959 +6349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.165466646,0.959 +6348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.524152839,0.959 +6347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,11.75926925,0.959 +6352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.906193119,0.959 +6351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,9.311760188,0.959 +6353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.762457253,0.959 +6354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.822354174,0.959 +6355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.534432075,0.959 +6356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,11.88595274,0.959 +6357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,11.14897391,0.959 +6358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.427019493,0.959 +6359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.402067032,0.959 +6361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-1.631911158,0.959 +6360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.75226503,0.959 +6362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.978506276,0.959 +6363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,12.09694495,0.959 +6365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.529313996,0.959 +6364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.924511381,0.959 +6367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.492209153,0.959 +6366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.174187573,0.959 +6368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.136735808,0.959 +6369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.354864364,0.959 +6370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.474564771,0.959 +6372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.110613189,0.959 +6371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.851722394,0.959 +6373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.970502321,0.959 +6374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.558506413,0.959 +6376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.505855685,0.959 +6377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.082991884,0.959 +6375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.665902556,0.959 +6378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.366252979,0.959 +6380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.08225939,0.959 +6379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.424476515,0.959 +6381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.746358637,0.959 +6382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.03424967,0.959 +6383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.883716861,0.959 +6384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.777820282,0.959 +6385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.877789695,0.959 +6386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.392960742,0.959 +6387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.96833212,0.959 +6389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.809879091,0.959 +6388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.558481551,0.959 +6390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.838132564,0.959 +6392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.086842456,0.959 +6391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.668874214,0.959 +6393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.274403964,0.959 +6394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.194335007,0.959 +6396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-1.033536022,0.959 +6397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.369000094,0.959 +6395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.126979314,0.959 +6398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.462847931,0.959 +6399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.579227951,0.959 +6400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.142296201,0.959 +6401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.448785991,0.959 +6403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.537495145,0.959 +6402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.343032156,0.959 +6404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.151507806,0.959 +6406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.551303806,0.959 +6407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.84677368,0.959 +6405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-0.771185395,0.959 +6408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.40718918,0.959 +6409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.093629242,0.959 +6410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.896078926,0.959 +6411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.289716772,0.959 +6412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.060379982,0.959 +6413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.714682307,0.959 +6414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.717104151,0.959 +6416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.000788094,0.959 +6417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,9.344462793,0.959 +6418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,13.80479425,0.959 +6419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.086581354,0.959 +6415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.916134884,0.959 +6420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.847957047,0.959 +6421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,9.80340552,0.959 +6422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.480032268,0.959 +6424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.380634136,0.959 +6425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.275241213,0.959 +6423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.022812931,0.959 +6426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.088205305,0.959 +6428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.358843794,0.959 +6429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,9.722458807,0.959 +6427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.928979981,0.959 +6430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.857530914,0.959 +6431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.311387656,0.959 +6432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.720458531,0.959 +6433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.141248469,0.959 +6434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.451055182,0.959 +6435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.391128676,0.959 +6437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.244134437,0.959 +6438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.169329252,0.959 +6439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.270460813,0.959 +6440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.878450443,0.959 +6436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.691814529,0.959 +6441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.340023339,0.959 +6442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.282182288,0.959 +6443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.08846742,0.959 +6444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.538501404,0.959 +6445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.244527287,0.959 +6446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.442651112,0.959 +6447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.179237829,0.959 +6448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.151867628,0.959 +6449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.295293546,0.959 +6450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.86942991,0.959 +6451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.057943586,0.959 +6453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.794315695,0.959 +6454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.648050974,0.959 +6452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.157939683,0.959 +6455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.049884491,0.959 +6457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.990311949,0.959 +6456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.781545816,0.959 +6458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.999570108,0.959 +6461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.352424442,0.959 +6459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,9.849502018,0.959 +6460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.185657176,0.959 +6462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.572396042,0.959 +6463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.691625323,0.959 +6465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.997864982,0.959 +6464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.906786684,0.959 +6466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.948362898,0.959 +6469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.102101968,0.959 +6468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.437139388,0.959 +6467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.349491497,0.959 +6470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.157652989,0.959 +6471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.76302931,0.959 +6472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.362093536,0.959 +6473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.18586623,0.959 +6474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.767513049,0.959 +6476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,9.692345565,0.959 +6475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.052590602,0.959 +6477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.892843636,0.959 +6478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.957743903,0.959 +6479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.1594436,0.959 +6482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.331043055,0.959 +6481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.832934073,0.959 +6483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.097018884,0.959 +6480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-0.474523243,0.959 +6484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.032056175,0.959 +6486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.213305852,0.959 +6487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.123563335,0.959 +6485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.53313694,0.959 +6488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,10.00250855,0.959 +6490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.862128111,0.959 +6491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.950086876,0.959 +6489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.877616506,0.959 +6492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.116688746,0.959 +6494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.290572997,0.959 +6495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.625441866,0.959 +6496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.205561295,0.959 +6497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.689767284,0.959 +6498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.260817192,0.959 +6493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.7054371,0.959 +6499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.559665179,0.959 +6501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.494249938,0.959 +6502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.834854537,0.959 +6500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.279548668,0.959 +6503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.182667479,0.959 +6505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.282134907,0.959 +6506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-0.014857856,0.959 +6504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.628427136,0.959 +6507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-1.591956826,0.959 +6508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.977940622,0.959 +6510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.262315572,0.959 +6509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.027102162,0.959 +6511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.65145252,0.959 +6512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.741082529,0.959 +6513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.115440702,0.959 +6514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.338317465,0.959 +6515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.541375128,0.959 +6517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.332930528,0.959 +6516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.566144483,0.959 +6518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.222979386,0.959 +6519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.573718851,0.959 +6520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,12.05531297,0.959 +6521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.072542766,0.959 +6523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.734561783,0.959 +6522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,10.23232778,0.959 +6524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.73666933,0.959 +6525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,12.60325999,0.959 +6526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.258205046,0.959 +6527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.812940317,0.959 +6528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.568812473,0.959 +6530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.469544239,0.959 +6529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.216337812,0.959 +6532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.453408318,0.959 +6531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.395055093,0.959 +6533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.632799921,0.959 +6534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.888307028,0.959 +6535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-0.992602981,0.959 +6536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.6970105,0.959 +6537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.944769534,0.959 +6538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.513160773,0.959 +6539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.822618677,0.959 +6541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.919690003,0.959 +6540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.774724249,0.959 +6542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.473193407,0.959 +6544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.131260332,0.959 +6543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.486743237,0.959 +6546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.93168141,0.959 +6545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.308574564,0.959 +6548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.293206459,0.959 +6547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.224529041,0.959 +6549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.31282679,0.959 +6551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.0238921,0.959 +6550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,13.9675705,0.959 +6552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.523578219,0.959 +6554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,11.10005861,0.959 +6553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.242819962,0.959 +6555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.122392654,0.959 +6556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.325133584,0.959 +6557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.419230501,0.959 +6558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.816458657,0.959 +6560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.772747627,0.959 +6561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,13.70509259,0.959 +6559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.113257059,0.959 +6562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.816969303,0.959 +6563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.421346044,0.959 +6565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.508166757,0.959 +6564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.438393144,0.959 +6566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.096257329,0.959 +6567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.986334356,0.959 +6568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.148540901,0.959 +6569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.793178089,0.959 +6570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-0.235189644,0.959 +6571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.786394075,0.959 +6572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-2.416242307,0.959 +6574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.379239733,0.959 +6575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.42819284,0.959 +6573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.278466981,0.959 +6576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,11.80038234,0.959 +6577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.606126129,0.959 +6578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.050402681,0.959 +6579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.680518019,0.959 +6580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.665814546,0.959 +6581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.148273222,0.959 +6582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.708381936,0.959 +6584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.282938068,0.959 +6585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.851081666,0.959 +6586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.249146849,0.959 +6587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.997559783,0.959 +6588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,11.62069075,0.959 +6583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.736317849,0.959 +6590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.809009444,0.959 +6589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.242880019,0.959 +6591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.543342394,0.959 +6593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.824279074,0.959 +6594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.890446589,0.959 +6592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.154993974,0.959 +6595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.874771377,0.959 +6597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.520696059,0.959 +6598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.989399757,0.959 +6596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,13.73768202,0.959 +6599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.262126306,0.959 +6600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.302855048,0.959 +6601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.996996073,0.959 +6603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-0.241561356,0.959 +6602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.198317635,0.959 +6604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.726771597,0.959 +6607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.518575174,0.959 +6606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.877224181,0.959 +6609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.393810189,0.959 +6610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.524110786,0.959 +6605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.789019695,0.959 +6608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.253564243,0.959 +6613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.003046429,0.959 +6611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.481889026,0.959 +6614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.791085148,0.959 +6612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,10.26988002,0.959 +6616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.36549086,0.959 +6615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.257873602,0.959 +6617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.347473045,0.959 +6618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-2.328127645,0.959 +6619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.917686573,0.959 +6621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.772416922,0.959 +6622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.060482014,0.959 +6623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.14197943,0.959 +6625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.357126585,0.959 +6624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.611872939,0.959 +6620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.266071891,0.959 +6629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.97163057,0.959 +6626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.14618817,0.959 +6627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.230222939,0.959 +6628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.687665929,0.959 +6631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.946861833,0.959 +6630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.447662901,0.959 +6632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,11.0356012,0.959 +6633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.400389187,0.959 +6634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.604141972,0.959 +6635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.901614083,0.959 +6636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.066579248,0.959 +6637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.961848702,0.959 +6638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.519822634,0.959 +6640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.373014726,0.959 +6641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.660445145,0.959 +6639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.74498624,0.959 +6642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.181809992,0.959 +6643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.022257538,0.959 +6644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.062201287,0.959 +6645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.501726282,0.959 +6646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.848859686,0.959 +6647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.86220754,0.959 +6648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,12.53309968,0.959 +6650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.835137705,0.959 +6649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.111711826,0.959 +6651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.941349948,0.959 +6653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.03419807,0.959 +6652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.418914689,0.959 +6654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.565207086,0.959 +6655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.424529033,0.959 +6656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.242788516,0.959 +6658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.041435681,0.959 +6659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.578311294,0.959 +6657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.837811436,0.959 +6660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.294212622,0.959 +6662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.900884704,0.959 +6663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.530696107,0.959 +6664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.471480501,0.959 +6665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,10.01587895,0.959 +6661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.40986513,0.959 +6666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.845288989,0.959 +6667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.225477239,0.959 +6668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,9.167292012,0.959 +6670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.762556678,0.959 +6669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.128253263,0.959 +6671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.111921306,0.959 +6672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.936576761,0.959 +6674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,10.61363267,0.959 +6673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.742573055,0.959 +6675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.412235381,0.959 +6676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,9.126611142,0.959 +6677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.430453157,0.959 +6679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.2837139,0.959 +6680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.007883629,0.959 +6678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.801557692,0.959 +6682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.880740291,0.959 +6683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.927876342,0.959 +6684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.347016558,0.959 +6685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.067805915,0.959 +6681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.887362592,0.959 +6687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.375276278,0.959 +6686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.510746679,0.959 +6689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.815934127,0.959 +6688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,12.57125444,0.959 +6690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.56608715,0.959 +6691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.927497904,0.959 +6692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.087732444,0.959 +6693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.800837833,0.959 +6694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.254522438,0.959 +6695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.837047512,0.959 +6696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.034890228,0.959 +6697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.970557258,0.959 +6699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.497470454,0.959 +6701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.166037162,0.959 +6698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-1.883217282,0.959 +6702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.539323953,0.959 +6700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.320296499,0.959 +6703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.508807626,0.959 +6704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.063327837,0.959 +6705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.570930044,0.959 +6706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.079706003,0.959 +6707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.985526443,0.959 +6708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.428385116,0.959 +6710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.926897399,0.959 +6709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-0.070727335,0.959 +6711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.415664598,0.959 +6713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-0.342762086,0.959 +6714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-0.673133418,0.959 +6712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.576058511,0.959 +6715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.63749284,0.959 +6717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.881094665,0.959 +6718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.904987504,0.959 +6716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.342637198,0.959 +6719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.666805544,0.959 +6720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.284657819,0.959 +6721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.835498822,0.959 +6723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.219405006,0.959 +6722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.854576984,0.959 +6724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,10.42684614,0.959 +6725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.186403057,0.959 +6726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.27209636,0.959 +6727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.454844363,0.959 +6728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.904327358,0.959 +6730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.769624763,0.959 +6731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,9.731904912,0.959 +6729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.751450276,0.959 +6732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.235862902,0.959 +6734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.161799984,0.959 +6733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.8288828,0.959 +6735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.717472756,0.959 +6737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-2.145405251,0.959 +6738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.477480911,0.959 +6736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.375537818,0.959 +6739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.176664876,0.959 +6741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.485790772,0.959 +6742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.409675755,0.959 +6743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.801902137,0.959 +6744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.767196552,0.959 +6740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.468310269,0.959 +6745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.949275744,0.959 +6746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.328574739,0.959 +6747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.068519793,0.959 +6748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.947173906,0.959 +6749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.915573318,0.959 +6751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.079858732,0.959 +6752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.623087732,0.959 +6750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.412845038,0.959 +6753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,9.118777913,0.959 +6756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.178063494,0.959 +6755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.647954896,0.959 +6754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.861618974,0.959 +6757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.082180472,0.959 +6758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.794926591,0.959 +6759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,9.069125678,0.959 +6760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.116385114,0.959 +6761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.858575707,0.959 +6762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.718585977,0.959 +6763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.392584453,0.959 +6764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.400095048,0.959 +6765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.563409303,0.959 +6767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.604510639,0.959 +6766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-1.781578316,0.959 +6768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,12.07442173,0.959 +6769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.60028343,0.959 +6771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.91894201,0.959 +6772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.009554269,0.959 +6770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.25143689,0.959 +6773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.065895292,0.959 +6775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.600589331,0.959 +6774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.352983012,0.959 +6777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.189796897,0.959 +6778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.948629776,0.959 +6779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.086099162,0.959 +6776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.707014776,0.959 +6780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.620311429,0.959 +6782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,9.816830595,0.959 +6781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.350638249,0.959 +6783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,12.00385303,0.959 +6784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.004324125,0.959 +6785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.394454399,0.959 +6786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.728738237,0.959 +6787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.031991401,0.959 +6788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,12.41451823,0.959 +6790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.082506511,0.959 +6789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.494394346,0.959 +6791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.518363409,0.959 +6792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.965835337,0.959 +6794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.597421278,0.959 +6793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,10.63445814,0.959 +6796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.909121873,0.959 +6795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.408411492,0.959 +6798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.787805665,0.959 +6797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.62106213,0.959 +6799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,9.252110691,0.959 +6800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.422350587,0.959 +6802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.407696077,0.959 +6801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.637459294,0.959 +6803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.665633095,0.959 +6804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.858151067,0.959 +6805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.79682195,0.959 +6806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.807389524,0.959 +6807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.346162735,0.959 +6808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,13.41942159,0.959 +6809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.914132822,0.959 +6810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,11.99547952,0.959 +6811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,9.233587835,0.959 +6814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.325157029,0.959 +6812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.929304634,0.959 +6813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.353944714,0.959 +6815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.643483758,0.959 +6818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.526751155,0.959 +6817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.812784094,0.959 +6816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.542210977,0.959 +6819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.768580865,0.959 +6821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.415680812,0.959 +6820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.459494682,0.959 +6822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-0.966094952,0.959 +6823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.695865297,0.959 +6825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.7835475,0.959 +6824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.560673969,0.959 +6827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.716763112,0.959 +6826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.544735502,0.959 +6828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.801625205,0.959 +6829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.867037046,0.959 +6830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.739835771,0.959 +6831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.103903756,0.959 +6832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.439444942,0.959 +6833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.835950674,0.959 +6834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-0.979116169,0.959 +6835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.520425144,0.959 +6836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.364089915,0.959 +6837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.18264697,0.959 +6838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.350832961,0.959 +6839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.265464331,0.959 +6840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.517696736,0.959 +6841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.745883102,0.959 +6842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.0613883,0.959 +6843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.559437728,0.959 +6845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.971635225,0.959 +6844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.951911391,0.959 +6846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.42459717,0.959 +6847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.078636326,0.959 +6849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.468348323,0.959 +6848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,10.84253393,0.959 +6850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.545787279,0.959 +6852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.867335134,0.959 +6853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.206004931,0.959 +6851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.647252974,0.959 +6854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.523862559,0.959 +6855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.378455645,0.959 +6856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.349895074,0.959 +6857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.024199412,0.959 +6858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.150524984,0.959 +6859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-1.657060579,0.959 +6861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.724507445,0.959 +6862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.368525008,0.959 +6860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.775656532,0.959 +6863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-0.235690195,0.959 +6864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.85294044,0.959 +6865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,9.213027715,0.959 +6867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.770976061,0.959 +6869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-0.873185123,0.959 +6868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.526923016,0.959 +6866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-0.856960189,0.959 +6870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.963506374,0.959 +6871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.681458702,0.959 +6872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.976950423,0.959 +6873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.980040879,0.959 +6874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.99347201,0.959 +6877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.168360294,0.959 +6875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-0.274314901,0.959 +6876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.765079122,0.959 +6878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.218852346,0.959 +6880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,11.6297508,0.959 +6881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.195771122,0.959 +6883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.69715822,0.959 +6882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.581542791,0.959 +6879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.749058437,0.959 +6886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.527510554,0.959 +6885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.817447595,0.959 +6884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.672721771,0.959 +6887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.430539335,0.959 +6891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.498067972,0.959 +6890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.548288375,0.959 +6888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.690732935,0.959 +6889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.613532057,0.959 +6892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.705362867,0.959 +6893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.834371186,0.959 +6895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.79336951,0.959 +6894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.423684899,0.959 +6896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.626196799,0.959 +6898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.415950982,0.959 +6899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.660549208,0.959 +6897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.231434752,0.959 +6901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.539955339,0.959 +6902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.2950118,0.959 +6903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.381340139,0.959 +6900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.445711202,0.959 +6907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.904280361,0.959 +6905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.447472775,0.959 +6904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.44173651,0.959 +6906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.495244901,0.959 +6908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.531441907,0.959 +6909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.173989124,0.959 +6910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.674379789,0.959 +6911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.128475078,0.959 +6913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.720356749,0.959 +6912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.806947563,0.959 +6914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.805226141,0.959 +6916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,10.69628499,0.959 +6915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.339134363,0.959 +6918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.244955484,0.959 +6919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.527211065,0.959 +6917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.229470008,0.959 +6920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.519716989,0.959 +6921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,11.64147942,0.959 +6922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.983127548,0.959 +6923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,12.62746384,0.959 +6924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.612389539,0.959 +6925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.652912618,0.959 +6927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,9.008228328,0.959 +6926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.619827416,0.959 +6929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.999617339,0.959 +6930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.618737539,0.959 +6928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.936423173,0.959 +6931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.137013095,0.959 +6932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.279938969,0.959 +6935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.70888873,0.959 +6934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,14.5247488,0.959 +6933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.824712375,0.959 +6936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.795300677,0.959 +6937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.234665003,0.959 +6938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.034757232,0.959 +6939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.337640591,0.959 +6940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,9.453503899,0.959 +6941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,9.60341149,0.959 +6942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,-1.419078503,0.959 +6943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.271935371,0.959 +6944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.24475785,0.959 +6945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.834707903,0.959 +6947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.766274781,0.959 +6948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.010801726,0.959 +6946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.648081264,0.959 +6949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.600484734,0.959 +6951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.43702428,0.959 +6950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.280765389,0.959 +6953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.526657478,0.959 +6954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.052360573,0.959 +6956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.075390212,0.959 +6955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.161482744,0.959 +6952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.179564946,0.959 +6957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.183990979,0.959 +6958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.248736439,0.959 +6959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.450976491,0.959 +6961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.305363299,0.959 +6962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.300066222,0.959 +6963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.220940414,0.959 +6960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.851349266,0.959 +6967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.552838807,0.959 +6965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.464264056,0.959 +6964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.819667659,0.959 +6966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,8.578473287,0.959 +6969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.174914662,0.959 +6968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.859952931,0.959 +6970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.942389877,0.959 +6971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.293113216,0.959 +6972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.610123819,0.959 +6974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.793135013,0.959 +6975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.002855291,0.959 +6976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.043966535,0.959 +6977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,9.647531004,0.959 +6978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.545444789,0.959 +6973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.457013555,0.959 +6979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.304569628,0.959 +6981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.676228029,0.959 +6982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.073718817,0.959 +6980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,0.575889444,0.959 +6984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.019587661,0.959 +6983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.343384142,0.959 +6985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.431319146,0.959 +6986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.811200546,0.959 +6987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.41096032,0.959 +6988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,2.482064896,0.959 +6990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,7.726733252,0.959 +6989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.181974071,0.959 +6991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,1.729980432,0.959 +6992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.570970016,0.959 +6993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,4.233201312,0.959 +6995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.093068736,0.959 +6996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.045770065,0.959 +6994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.631816793,0.959 +6997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,6.889540895,0.959 +6999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,3.286376312,0.959 +6998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,9.245315531,0.959 +7000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,7,1,5.019101707,0.959 +16001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.11154992,0.98 +16002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.096333485,0.98 +16003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.457455211,0.98 +16004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.282574161,0.98 +16005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.550946517,0.98 +16006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.953732445,0.98 +16007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.481462673,0.98 +16008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.330938663,0.98 +16009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.495743238,0.98 +16010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.463459723,0.98 +16011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.662207762,0.98 +16012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.602105529,0.98 +16013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.465724346,0.98 +16014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.673643202,0.98 +16016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.256167141,0.98 +16017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.338721674,0.98 +16015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.897360606,0.98 +16020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.114416145,0.98 +16018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.191206555,0.98 +16019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.994779442,0.98 +16023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.457031647,0.98 +16022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.960301206,0.98 +16024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.970565907,0.98 +16021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.033883243,0.98 +16025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.93047066,0.98 +16026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.238819867,0.98 +16027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,9.777676933,0.98 +16028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.60641278,0.98 +16030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.219365225,0.98 +16029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.888448436,0.98 +16032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.025924809,0.98 +16031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,9.916748504,0.98 +16033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.081139179,0.98 +16034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.752735306,0.98 +16035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.776147113,0.98 +16036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.699685073,0.98 +16037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,10.92131059,0.98 +16038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.22668276,0.98 +16039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.433256542,0.98 +16040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.05613558,0.98 +16041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.229709965,0.98 +16043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.160149575,0.98 +16042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.846674948,0.98 +16045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,12.03362513,0.98 +16046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.009804119,0.98 +16044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.576544051,0.98 +16047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,9.278341119,0.98 +16049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.290070073,0.98 +16050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.119920094,0.98 +16048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.128204372,0.98 +16051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.242124837,0.98 +16054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.223468805,0.98 +16052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.456889197,0.98 +16053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.864445737,0.98 +16055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.453062136,0.98 +16056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.448598197,0.98 +16057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.490175956,0.98 +16058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.089703739,0.98 +16059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.308803003,0.98 +16060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.525879972,0.98 +16061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.940371503,0.98 +16062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.949545489,0.98 +16063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.644736715,0.98 +16064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.9853107,0.98 +16065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.286071804,0.98 +16066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.089263137,0.98 +16067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.100122994,0.98 +16069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.490948563,0.98 +16068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.225523015,0.98 +16071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.15092452,0.98 +16072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.271332875,0.98 +16073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.135706843,0.98 +16070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.70876112,0.98 +16075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,10.33354497,0.98 +16076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.411071683,0.98 +16074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.408434818,0.98 +16078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.058366699,0.98 +16077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.059229627,0.98 +16079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.602445822,0.98 +16080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.912349901,0.98 +16082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.949882104,0.98 +16083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,-0.214751168,0.98 +16081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.40209667,0.98 +16084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.634375226,0.98 +16085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.257162578,0.98 +16087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.060275192,0.98 +16086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.010835025,0.98 +16088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.273174627,0.98 +16091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.56730529,0.98 +16090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.841995163,0.98 +16092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.416658001,0.98 +16094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.024398691,0.98 +16093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.359641587,0.98 +16089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.427108293,0.98 +16095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.877438421,0.98 +16098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.685811453,0.98 +16097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.312543584,0.98 +16096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.051476251,0.98 +16099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.390826449,0.98 +16100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.092657958,0.98 +16101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.930955897,0.98 +16102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.717789009,0.98 +16103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.002049142,0.98 +16104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,10.58322002,0.98 +16106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.243883238,0.98 +16105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.116087349,0.98 +16107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.493863923,0.98 +16110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.897962844,0.98 +16109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.179167616,0.98 +16111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.286113348,0.98 +16108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.742659636,0.98 +16112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.784229916,0.98 +16113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.644373434,0.98 +16115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.740645833,0.98 +16114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,10.14884259,0.98 +16116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.899558123,0.98 +16117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.822722072,0.98 +16118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.900868289,0.98 +16119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,-0.063229794,0.98 +16120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.32627247,0.98 +16121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.378906014,0.98 +16122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.113186127,0.98 +16123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.886763983,0.98 +16124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.185072441,0.98 +16125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.086762666,0.98 +16126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.883161771,0.98 +16127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.255041242,0.98 +16129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.273168957,0.98 +16128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.196521081,0.98 +16130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,9.187869388,0.98 +16131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.100129775,0.98 +16132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.984641985,0.98 +16134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.322642007,0.98 +16133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.052459628,0.98 +16135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,9.30378166,0.98 +16136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.778812191,0.98 +16137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,9.982362374,0.98 +16138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.85759572,0.98 +16140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.698161001,0.98 +16142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,-0.209868749,0.98 +16139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.963136588,0.98 +16141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.774515441,0.98 +16143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.667273655,0.98 +16144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.471225124,0.98 +16145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.866001305,0.98 +16146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.512654196,0.98 +16147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.300558029,0.98 +16148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.730074163,0.98 +16149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.432652191,0.98 +16150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.858870565,0.98 +16151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.52132608,0.98 +16152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.227045412,0.98 +16154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.027975648,0.98 +16155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.588854758,0.98 +16153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.575035681,0.98 +16156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.882149452,0.98 +16157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,10.52424387,0.98 +16159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.48714636,0.98 +16158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.376681347,0.98 +16160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.813392953,0.98 +16161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.151183693,0.98 +16163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.013315371,0.98 +16162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.105548669,0.98 +16164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.247642616,0.98 +16165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.950097419,0.98 +16166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.798825652,0.98 +16167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.140532143,0.98 +16168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.815915499,0.98 +16169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.770367023,0.98 +16170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.147437459,0.98 +16171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.019955391,0.98 +16172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.070553282,0.98 +16173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.142724654,0.98 +16174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.319322475,0.98 +16176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,10.39447656,0.98 +16175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.164259783,0.98 +16177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.422394134,0.98 +16178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.884365354,0.98 +16179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.871214793,0.98 +16181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.077751453,0.98 +16182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.7720032,0.98 +16183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.692071144,0.98 +16184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.678588637,0.98 +16185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.54223774,0.98 +16186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.272335445,0.98 +16180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.961070935,0.98 +16188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.78071848,0.98 +16190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.841162499,0.98 +16187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.879506728,0.98 +16189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.588399854,0.98 +16191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.215471626,0.98 +16193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.013745279,0.98 +16192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.95865953,0.98 +16194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,12.26983791,0.98 +16195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.130187695,0.98 +16196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.009548858,0.98 +16198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.465153646,0.98 +16199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.495600732,0.98 +16200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.826789793,0.98 +16201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.285531855,0.98 +16197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.794473512,0.98 +16202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.222462622,0.98 +16205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.614943032,0.98 +16203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.239298066,0.98 +16206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.460688111,0.98 +16204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.22144488,0.98 +16207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.742202274,0.98 +16209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.762944901,0.98 +16208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,9.903859737,0.98 +16210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.901504528,0.98 +16211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.643316894,0.98 +16213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.773972652,0.98 +16212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.133657694,0.98 +16214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,-0.095240275,0.98 +16217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.403889029,0.98 +16218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.088866156,0.98 +16215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.392994316,0.98 +16219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.542652477,0.98 +16216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.124428689,0.98 +16221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.547081207,0.98 +16220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.248781623,0.98 +16223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.586189794,0.98 +16222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.803593797,0.98 +16225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,14.76305187,0.98 +16224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.138930518,0.98 +16226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,10.61107772,0.98 +16227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.308363444,0.98 +16228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.648224057,0.98 +16229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,10.88248699,0.98 +16230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.916495068,0.98 +16231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.102292811,0.98 +16232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.778201957,0.98 +16234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.202846816,0.98 +16235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,9.362126526,0.98 +16236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.584980087,0.98 +16233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.054751694,0.98 +16237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.272807991,0.98 +16238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.906442491,0.98 +16239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.046145332,0.98 +16241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.910103164,0.98 +16240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.935801962,0.98 +16243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.76532348,0.98 +16242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,-0.018896297,0.98 +16244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.864343369,0.98 +16245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.121085258,0.98 +16247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,-0.273757464,0.98 +16246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.199884102,0.98 +16248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.77821162,0.98 +16249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.069998973,0.98 +16250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,9.208320045,0.98 +16251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,9.190877398,0.98 +16252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.918978927,0.98 +16254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.068660393,0.98 +16255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.875178936,0.98 +16253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.749998945,0.98 +16256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.880992467,0.98 +16257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.186474953,0.98 +16258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.253492811,0.98 +16259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.983871957,0.98 +16261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.294530849,0.98 +16260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.40983833,0.98 +16262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.808262787,0.98 +16264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.973064958,0.98 +16265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.357282133,0.98 +16263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.634997694,0.98 +16269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.753189421,0.98 +16266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.976101615,0.98 +16268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.880363595,0.98 +16267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.195099865,0.98 +16271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,-0.683204667,0.98 +16272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.140020336,0.98 +16270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.559246885,0.98 +16273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.495657891,0.98 +16275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,11.03276817,0.98 +16274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.538356696,0.98 +16277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.84401408,0.98 +16276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.063232574,0.98 +16278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.538949583,0.98 +16279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.908845045,0.98 +16281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.39068425,0.98 +16280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.005008181,0.98 +16282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.877155525,0.98 +16284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.632160625,0.98 +16283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.329299951,0.98 +16285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.431939115,0.98 +16286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.73675684,0.98 +16287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.88322262,0.98 +16288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.826655681,0.98 +16289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.869309739,0.98 +16290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.78142492,0.98 +16291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.97957019,0.98 +16292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.331149997,0.98 +16294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.92058083,0.98 +16293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,12.51290959,0.98 +16296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.768084913,0.98 +16295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.764093504,0.98 +16297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.489607826,0.98 +16298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.70396782,0.98 +16300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.589145297,0.98 +16301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,12.03339286,0.98 +16303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.963405616,0.98 +16299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.146952155,0.98 +16302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.81510296,0.98 +16304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.762655922,0.98 +16305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.875774336,0.98 +16306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,11.63782054,0.98 +16308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.819372786,0.98 +16309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.692020589,0.98 +16307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.073533423,0.98 +16310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.385429271,0.98 +16311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.409495423,0.98 +16312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.19506626,0.98 +16313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.132097379,0.98 +16314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,10.11036015,0.98 +16316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.164673464,0.98 +16315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.741908486,0.98 +16320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.722639309,0.98 +16319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.312886281,0.98 +16317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.413866233,0.98 +16318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.140826,0.98 +16322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.178545164,0.98 +16321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.213433076,0.98 +16323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.12817934,0.98 +16324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.812943341,0.98 +16326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.825201684,0.98 +16325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.219094517,0.98 +16327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.554406622,0.98 +16328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.728341186,0.98 +16329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.392187074,0.98 +16330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.923651521,0.98 +16332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.708517999,0.98 +16333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.075680425,0.98 +16334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.992204693,0.98 +16335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.264282611,0.98 +16331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.131724734,0.98 +16336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.180927378,0.98 +16337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.185930183,0.98 +16339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.402901974,0.98 +16338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.968650753,0.98 +16340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.938700053,0.98 +16341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.852871808,0.98 +16342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.323531465,0.98 +16343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.766265772,0.98 +16344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.820436081,0.98 +16345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.731332939,0.98 +16346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.092372249,0.98 +16347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.683285812,0.98 +16348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.444531102,0.98 +16349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.46634699,0.98 +16351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.976397575,0.98 +16352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.694559011,0.98 +16353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.644581656,0.98 +16350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.56199235,0.98 +16355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.268786384,0.98 +16354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.166938072,0.98 +16357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.470753105,0.98 +16356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.84873774,0.98 +16359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.076792944,0.98 +16360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.039003529,0.98 +16361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.780672377,0.98 +16358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.750857852,0.98 +16362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.966619857,0.98 +16364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.200656103,0.98 +16365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.461533832,0.98 +16366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.643413583,0.98 +16368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.217487525,0.98 +16367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,9.50965685,0.98 +16363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.332169155,0.98 +16371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,11.46524992,0.98 +16370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.823891572,0.98 +16372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.667118152,0.98 +16369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.803810728,0.98 +16373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,9.114718302,0.98 +16374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.865479103,0.98 +16376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.781001617,0.98 +16375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.950729286,0.98 +16378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.664179597,0.98 +16377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.187028971,0.98 +16379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.260191388,0.98 +16380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,10.41083459,0.98 +16382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.37840863,0.98 +16383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.349166315,0.98 +16385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.80735349,0.98 +16384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.760861679,0.98 +16386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.806202131,0.98 +16381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.19152469,0.98 +16388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.125218821,0.98 +16387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.675410004,0.98 +16390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.716505704,0.98 +16389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.078844958,0.98 +16391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.727175928,0.98 +16392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.336551698,0.98 +16393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.367253405,0.98 +16395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.479880227,0.98 +16394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.084593741,0.98 +16396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.111387007,0.98 +16397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.429287913,0.98 +16398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,9.957384573,0.98 +16399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.996694668,0.98 +16400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.699909047,0.98 +16403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.537347545,0.98 +16402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,9.466102559,0.98 +16406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.502454634,0.98 +16404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.966396977,0.98 +16401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.196655536,0.98 +16405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.790436178,0.98 +16407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.135444191,0.98 +16408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.180872414,0.98 +16409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.593826035,0.98 +16410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.554294406,0.98 +16412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.517768974,0.98 +16411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.803137612,0.98 +16414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.510340033,0.98 +16413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.461497837,0.98 +16416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.11389251,0.98 +16415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.912810162,0.98 +16417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.453985008,0.98 +16418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.727247603,0.98 +16420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.343643262,0.98 +16419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.748761013,0.98 +16421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.230514524,0.98 +16422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.390169362,0.98 +16423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,-1.107441893,0.98 +16424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.748983931,0.98 +16425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.676945864,0.98 +16426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.906830631,0.98 +16427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.032081281,0.98 +16428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.160332653,0.98 +16429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.611347513,0.98 +16431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.03189889,0.98 +16432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.205877285,0.98 +16433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.167050325,0.98 +16430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,-0.793356427,0.98 +16434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.867721648,0.98 +16435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.111706278,0.98 +16436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,12.06653769,0.98 +16437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.184644836,0.98 +16438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.884531943,0.98 +16439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.210499107,0.98 +16440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.735400138,0.98 +16441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,-0.232099277,0.98 +16442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.543820128,0.98 +16443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.409815059,0.98 +16444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.794171496,0.98 +16446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.607754264,0.98 +16447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.434119899,0.98 +16445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.020221231,0.98 +16448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.138854424,0.98 +16451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.375126148,0.98 +16450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.981450514,0.98 +16449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.358140611,0.98 +16452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.203686495,0.98 +16453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.216003135,0.98 +16455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,10.64309769,0.98 +16454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.2752594,0.98 +16456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.881549904,0.98 +16458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.759512204,0.98 +16459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.24092368,0.98 +16457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.480408136,0.98 +16460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.08161886,0.98 +16461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.181332421,0.98 +16462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.42573331,0.98 +16463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.095094709,0.98 +16464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.036308873,0.98 +16465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.090244499,0.98 +16466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,9.945524389,0.98 +16470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.603970173,0.98 +16469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.595427403,0.98 +16467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.718406891,0.98 +16468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.174190129,0.98 +16471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.044420818,0.98 +16472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.961431286,0.98 +16474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.947386731,0.98 +16475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.59774568,0.98 +16476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.958346742,0.98 +16473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.78667374,0.98 +16477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,13.61072059,0.98 +16478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.533732163,0.98 +16481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.456132928,0.98 +16480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.13233433,0.98 +16479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.554127475,0.98 +16483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,9.731533341,0.98 +16484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.733544135,0.98 +16485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.377696009,0.98 +16486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,11.03403448,0.98 +16488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.068285846,0.98 +16482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.214220724,0.98 +16489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.457071095,0.98 +16490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.353090994,0.98 +16487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.576580013,0.98 +16492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.797090414,0.98 +16491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.581055559,0.98 +16493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.44998126,0.98 +16494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.379052154,0.98 +16496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.710812497,0.98 +16495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.118710948,0.98 +16498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.482198715,0.98 +16499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.88911787,0.98 +16497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.569907069,0.98 +16500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.436324346,0.98 +16501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,10.32276737,0.98 +16503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.396796665,0.98 +16504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.933489574,0.98 +16502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.332639796,0.98 +16506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.497689431,0.98 +16507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.170262708,0.98 +16508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.379495495,0.98 +16509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.746627309,0.98 +16505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.06608508,0.98 +16511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.808345131,0.98 +16510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.733684463,0.98 +16512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.120626606,0.98 +16514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.097693985,0.98 +16513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.335290554,0.98 +16515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,10.09797146,0.98 +16516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.823038367,0.98 +16518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.896027266,0.98 +16519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.97176898,0.98 +16520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.46067796,0.98 +16517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.315930147,0.98 +16522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.725571435,0.98 +16523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.760312726,0.98 +16524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.898577765,0.98 +16521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.705399069,0.98 +16527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.327860451,0.98 +16525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.84883616,0.98 +16526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.171246041,0.98 +16528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.516590749,0.98 +16529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.828759123,0.98 +16531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.622452622,0.98 +16530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.197952444,0.98 +16532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.390503525,0.98 +16535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,9.062133291,0.98 +16534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.15105434,0.98 +16536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.684141675,0.98 +16537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.980553231,0.98 +16533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.215048571,0.98 +16538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.23846271,0.98 +16540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.762012988,0.98 +16541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,9.16069096,0.98 +16542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.456287898,0.98 +16539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.140061406,0.98 +16544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.186747394,0.98 +16543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.07183742,0.98 +16545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.914554959,0.98 +16546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.574622813,0.98 +16547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.832165021,0.98 +16548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.516229972,0.98 +16549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.101249414,0.98 +16550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.595926582,0.98 +16551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.261720217,0.98 +16552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.186424658,0.98 +16553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.426612386,0.98 +16554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.191570443,0.98 +16556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.785379738,0.98 +16557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.443885195,0.98 +16555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.398103239,0.98 +16558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.264391649,0.98 +16560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.487024124,0.98 +16559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.513565633,0.98 +16561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.178771545,0.98 +16562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.029708729,0.98 +16563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.484106197,0.98 +16564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.770745768,0.98 +16565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.080055623,0.98 +16566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.404447352,0.98 +16568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.145017897,0.98 +16567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.312436765,0.98 +16569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.971642143,0.98 +16571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.227412731,0.98 +16570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.885886591,0.98 +16572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.899247838,0.98 +16573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.699206931,0.98 +16574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.547935871,0.98 +16575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.75541787,0.98 +16576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.888585582,0.98 +16577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.443130737,0.98 +16578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.306144526,0.98 +16579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.836748987,0.98 +16580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.945060136,0.98 +16581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.857766261,0.98 +16582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.721945266,0.98 +16584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.241149958,0.98 +16583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,9.508621679,0.98 +16585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.406729748,0.98 +16586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.108387897,0.98 +16587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,12.38870983,0.98 +16589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.725944804,0.98 +16590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.467705613,0.98 +16591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.491131801,0.98 +16592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.810587348,0.98 +16593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.972748998,0.98 +16588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.971789287,0.98 +16594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.049845705,0.98 +16595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.136990784,0.98 +16596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.279585152,0.98 +16597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.189786068,0.98 +16600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.218636251,0.98 +16599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.061189502,0.98 +16598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.706796916,0.98 +16601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.650289125,0.98 +16603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.731668905,0.98 +16602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.230251761,0.98 +16604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.555641027,0.98 +16605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.079506184,0.98 +16606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.213650801,0.98 +16607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.256012944,0.98 +16608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.967459821,0.98 +16611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.348351976,0.98 +16610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.699691739,0.98 +16612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.141975185,0.98 +16614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.010465824,0.98 +16613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.682761879,0.98 +16615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.83875338,0.98 +16609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.211913676,0.98 +16617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.606694843,0.98 +16619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.379095917,0.98 +16618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.734937089,0.98 +16616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.201947207,0.98 +16620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.275577433,0.98 +16621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.197207773,0.98 +16622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.826422523,0.98 +16623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.504609838,0.98 +16624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,11.40468617,0.98 +16626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.75530334,0.98 +16627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.826059413,0.98 +16628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.666292307,0.98 +16629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.396224594,0.98 +16630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.2647434,0.98 +16625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.306427133,0.98 +16631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,-0.159685196,0.98 +16632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.18154166,0.98 +16633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.052036963,0.98 +16634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.000537538,0.98 +16635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.98231446,0.98 +16637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.093262907,0.98 +16636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.734142381,0.98 +16638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.189556163,0.98 +16639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.543861667,0.98 +16640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.998372692,0.98 +16641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.205754724,0.98 +16643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.708250197,0.98 +16642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.951344692,0.98 +16644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.306331431,0.98 +16645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.207784923,0.98 +16646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.031590996,0.98 +16647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.678779335,0.98 +16649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.421927938,0.98 +16648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.107317298,0.98 +16650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.357936125,0.98 +16651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.285255785,0.98 +16652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.200426946,0.98 +16653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,-0.118917045,0.98 +16654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.708385707,0.98 +16655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.301452422,0.98 +16656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.744970461,0.98 +16658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.303996908,0.98 +16657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.86598392,0.98 +16660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.159677023,0.98 +16661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,9.099654925,0.98 +16662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.792798141,0.98 +16659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.542658282,0.98 +16663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.504468495,0.98 +16665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.470410971,0.98 +16664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.749521337,0.98 +16667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.690130612,0.98 +16669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.994580831,0.98 +16668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.707955124,0.98 +16666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.913376521,0.98 +16670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.381903124,0.98 +16672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.74935665,0.98 +16671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.336161138,0.98 +16674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.060994184,0.98 +16673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.76589495,0.98 +16676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.420547254,0.98 +16675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.75304212,0.98 +16677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.185205972,0.98 +16678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.036837639,0.98 +16680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.26074436,0.98 +16679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.602047196,0.98 +16681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.786727873,0.98 +16682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.155062328,0.98 +16683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.20133447,0.98 +16684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.936700129,0.98 +16685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.620522173,0.98 +16687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.574618107,0.98 +16688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.854668377,0.98 +16689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.540742509,0.98 +16690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.127537832,0.98 +16686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.670826684,0.98 +16691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.103541577,0.98 +16692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.683066907,0.98 +16693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.111121112,0.98 +16695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.199316797,0.98 +16694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.023828234,0.98 +16696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.039177818,0.98 +16697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.980150468,0.98 +16698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.615033584,0.98 +16700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.70743638,0.98 +16699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.465374588,0.98 +16701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,-0.186476523,0.98 +16702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.87777772,0.98 +16703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.918045885,0.98 +16705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.96661844,0.98 +16704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,11.09439411,0.98 +16706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.985761681,0.98 +16707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.605562212,0.98 +16708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.165484398,0.98 +16710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,12.4811044,0.98 +16711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,9.106210428,0.98 +16712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.882635591,0.98 +16709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.116394944,0.98 +16713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.427309715,0.98 +16714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.857352032,0.98 +16715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.062505767,0.98 +16716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.315488249,0.98 +16717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.147189563,0.98 +16718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.251479816,0.98 +16719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.343174424,0.98 +16720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,9.267831869,0.98 +16721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.683028681,0.98 +16722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,-0.262305105,0.98 +16723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.86135986,0.98 +16725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,-0.342655848,0.98 +16724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,-1.433669377,0.98 +16727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.191564939,0.98 +16726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.355546627,0.98 +16728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.814239284,0.98 +16729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,14.79398355,0.98 +16731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.204709952,0.98 +16730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.638734562,0.98 +16732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.204420099,0.98 +16733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.820800818,0.98 +16734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.267379928,0.98 +16735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.49466981,0.98 +16736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,9.662294374,0.98 +16737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.054375021,0.98 +16738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.856310043,0.98 +16739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.82666178,0.98 +16740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.820721519,0.98 +16742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.633006848,0.98 +16743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.91861149,0.98 +16744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.563150491,0.98 +16741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,11.81486398,0.98 +16745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.619521046,0.98 +16746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,-0.051091231,0.98 +16747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.654910636,0.98 +16748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.162825148,0.98 +16750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.585576781,0.98 +16751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.603005778,0.98 +16749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.562661747,0.98 +16752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.499145244,0.98 +16753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.118358967,0.98 +16754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.179541,0.98 +16755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.729616095,0.98 +16758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.81582883,0.98 +16756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.492688887,0.98 +16757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.868202025,0.98 +16759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.240008288,0.98 +16761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.491085924,0.98 +16760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.44821823,0.98 +16762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.112897715,0.98 +16765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.756200297,0.98 +16764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.464450098,0.98 +16766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.172289146,0.98 +16768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.559561114,0.98 +16767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.117025478,0.98 +16769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.277595855,0.98 +16763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.845960909,0.98 +16773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.154019174,0.98 +16772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.695341899,0.98 +16770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.875011144,0.98 +16771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,10.28704155,0.98 +16774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.560959502,0.98 +16775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.405298597,0.98 +16776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.179810602,0.98 +16777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.435869382,0.98 +16779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,9.162979438,0.98 +16780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.698635769,0.98 +16778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.241699789,0.98 +16781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.39096352,0.98 +16782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.829757751,0.98 +16783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.844630474,0.98 +16785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.361180383,0.98 +16786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.620129919,0.98 +16784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.680522008,0.98 +16788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.485352431,0.98 +16787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.54168809,0.98 +16789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.080397024,0.98 +16791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.306902097,0.98 +16790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.397024982,0.98 +16792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.776135594,0.98 +16793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,15.58010432,0.98 +16796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.652512841,0.98 +16794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.447188959,0.98 +16795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.08011055,0.98 +16797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.798182451,0.98 +16799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.162126734,0.98 +16798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.2479742,0.98 +16801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.090818999,0.98 +16800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,9.228087875,0.98 +16802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.796544117,0.98 +16803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.703826669,0.98 +16806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.56396302,0.98 +16804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,9.759961718,0.98 +16805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.750759423,0.98 +16807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.242766481,0.98 +16808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,11.15482649,0.98 +16809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.473374527,0.98 +16811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.29058551,0.98 +16810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.589480832,0.98 +16812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.116382278,0.98 +16813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.248243849,0.98 +16814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.485465659,0.98 +16815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.214964525,0.98 +16817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.405285017,0.98 +16818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.805078763,0.98 +16816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.634205996,0.98 +16819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.221948089,0.98 +16820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.03027508,0.98 +16822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.953079085,0.98 +16821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.384978636,0.98 +16823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.965116173,0.98 +16824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.838158152,0.98 +16826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.610008149,0.98 +16825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.03859376,0.98 +16827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.673007084,0.98 +16828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.583855863,0.98 +16829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,9.157857615,0.98 +16830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.651908792,0.98 +16832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.798587152,0.98 +16831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.14223097,0.98 +16833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.837988268,0.98 +16834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.802705359,0.98 +16835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.249222835,0.98 +16837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.37955232,0.98 +16838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.7051685,0.98 +16839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.667720199,0.98 +16840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.853022822,0.98 +16841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.811589395,0.98 +16836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.68342825,0.98 +16842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.388041073,0.98 +16843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.153737713,0.98 +16844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.310049415,0.98 +16846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.662047325,0.98 +16845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.913339742,0.98 +16850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.474511489,0.98 +16847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.125499292,0.98 +16848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.583181741,0.98 +16849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.370664493,0.98 +16851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.008802104,0.98 +16852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,9.71710959,0.98 +16854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.759476348,0.98 +16853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.61655811,0.98 +16857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.441309606,0.98 +16856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.616132478,0.98 +16858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.786156526,0.98 +16859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.368618447,0.98 +16860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.459099095,0.98 +16855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.341467093,0.98 +16861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.527120942,0.98 +16864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.020421996,0.98 +16863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.295648082,0.98 +16862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,9.029590125,0.98 +16865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.110215926,0.98 +16866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,9.878364653,0.98 +16867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.142650114,0.98 +16868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.551962756,0.98 +16869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.735104593,0.98 +16871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.246113649,0.98 +16873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.610174725,0.98 +16872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.503854099,0.98 +16874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.080974439,0.98 +16875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.829436709,0.98 +16870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.217694156,0.98 +16876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.227635007,0.98 +16877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.942309303,0.98 +16880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.442525512,0.98 +16879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.323083532,0.98 +16878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.225910025,0.98 +16881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.277097706,0.98 +16882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.743978838,0.98 +16883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.359257764,0.98 +16884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.907708392,0.98 +16885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.674802775,0.98 +16888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.733889614,0.98 +16886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.959382414,0.98 +16887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.310112147,0.98 +16890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.284167334,0.98 +16889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.48187419,0.98 +16891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.400429622,0.98 +16892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.35575668,0.98 +16893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.234716726,0.98 +16895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,11.34097244,0.98 +16894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,9.682941965,0.98 +16896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.188510734,0.98 +16897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.964431521,0.98 +16898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.861376875,0.98 +16899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.715987844,0.98 +16900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.463590176,0.98 +16901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.249992277,0.98 +16902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.968940734,0.98 +16903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.93659308,0.98 +16904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.165850624,0.98 +16905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.580593031,0.98 +16906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.141047726,0.98 +16907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,-0.857171106,0.98 +16911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.484017408,0.98 +16910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.986388351,0.98 +16909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.17013505,0.98 +16908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.747009793,0.98 +16912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.406358986,0.98 +16913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.607913224,0.98 +16914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.682071086,0.98 +16915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.189381741,0.98 +16916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.81765118,0.98 +16917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.677164015,0.98 +16918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.651721759,0.98 +16919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.274096597,0.98 +16920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.619220381,0.98 +16922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.336598845,0.98 +16921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.935558829,0.98 +16924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.150988735,0.98 +16925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.195663255,0.98 +16923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.621885204,0.98 +16926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.014409974,0.98 +16927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.316821233,0.98 +16928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.224462489,0.98 +16930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.828285999,0.98 +16929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.340228062,0.98 +16931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.358891422,0.98 +16932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.294194614,0.98 +16933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,9.244848207,0.98 +16936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.988092901,0.98 +16934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,10.45320967,0.98 +16935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.527240936,0.98 +16937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.880362148,0.98 +16939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.415226041,0.98 +16938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.370338353,0.98 +16940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.539356339,0.98 +16941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.904784266,0.98 +16943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.397925301,0.98 +16944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.69926315,0.98 +16945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.863475897,0.98 +16942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.511607977,0.98 +16946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.496495723,0.98 +16947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.42623435,0.98 +16948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.284102632,0.98 +16950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.531021632,0.98 +16949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,-0.228888056,0.98 +16951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.836429065,0.98 +16952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.776333603,0.98 +16953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.454062789,0.98 +16955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.755745892,0.98 +16956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.357086375,0.98 +16954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.532600712,0.98 +16957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.639153268,0.98 +16958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.023163146,0.98 +16959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.12122534,0.98 +16960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,9.41304493,0.98 +16961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.500373249,0.98 +16962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.326213447,0.98 +16963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.009526183,0.98 +16965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.98843667,0.98 +16966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.364115174,0.98 +16967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.812025536,0.98 +16968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.28373263,0.98 +16964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.257952886,0.98 +16970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.951295446,0.98 +16969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.865302681,0.98 +16972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.894456243,0.98 +16971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.953692631,0.98 +16973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.879427512,0.98 +16974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.233232917,0.98 +16975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,7.938012513,0.98 +16976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.096668014,0.98 +16977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.063409914,0.98 +16978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.189902925,0.98 +16979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.566104257,0.98 +16980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.037726376,0.98 +16981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.791392723,0.98 +16982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,2.217330386,0.98 +16984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,14.11028665,0.98 +16985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,-0.032019237,0.98 +16986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.932597731,0.98 +16983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.159881431,0.98 +16987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.329319496,0.98 +16988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.74905921,0.98 +16989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,1.942107064,0.98 +16991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.543466701,0.98 +16990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,0.480717254,0.98 +16992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,5.092434571,0.98 +16993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.949623282,0.98 +16994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,8.03678679,0.98 +16995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.851517647,0.98 +16996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.154315199,0.98 +16997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.434564994,0.98 +16998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,4.064861846,0.98 +16999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,3.044677701,0.98 +17000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,7,1,6.304958742,0.98 +26002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,8.366690832,0.992 +26001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.426283654,0.992 +26003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.341540949,0.992 +26006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.059198534,0.992 +26005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,8.066683723,0.992 +26004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.844125343,0.992 +26007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.981607683,0.992 +26008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.111421527,0.992 +26009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.049228625,0.992 +26010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,8.211865644,0.992 +26011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.52344362,0.992 +26012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.721072972,0.992 +26013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.964931597,0.992 +26014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.779389634,0.992 +26016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.798284674,0.992 +26017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.546670028,0.992 +26015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.70727626,0.992 +26019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.648418959,0.992 +26020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.249486875,0.992 +26021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.360227919,0.992 +26018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.646052084,0.992 +26022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.412782798,0.992 +26023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.004449236,0.992 +26024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.203147781,0.992 +26027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.168644451,0.992 +26026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.189204504,0.992 +26028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.18306125,0.992 +26025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.948147786,0.992 +26030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.454615679,0.992 +26029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.428487674,0.992 +26032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.209742333,0.992 +26031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.548214937,0.992 +26033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.351091401,0.992 +26034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.035768788,0.992 +26036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.057816986,0.992 +26037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.744476685,0.992 +26035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.721208505,0.992 +26038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.713589357,0.992 +26039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.908922852,0.992 +26040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.953786144,0.992 +26042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.080335619,0.992 +26043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.117810314,0.992 +26044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.80664349,0.992 +26041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.28072521,0.992 +26045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,8.056844306,0.992 +26047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.093649982,0.992 +26048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.498534797,0.992 +26046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.061416382,0.992 +26049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.872307467,0.992 +26050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.09751593,0.992 +26052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.163550751,0.992 +26051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.875355329,0.992 +26053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.366783346,0.992 +26055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.344855419,0.992 +26054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.403397787,0.992 +26057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.446546898,0.992 +26058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.16331126,0.992 +26059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.830235083,0.992 +26056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.351342717,0.992 +26060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.534154095,0.992 +26062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,9.399858795,0.992 +26063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.33996601,0.992 +26061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.814549153,0.992 +26064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,8.526506601,0.992 +26065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.824978621,0.992 +26067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.155844363,0.992 +26066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.765523486,0.992 +26068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.962802709,0.992 +26069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,9.450721,0.992 +26070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.663174375,0.992 +26071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.604270273,0.992 +26072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,-0.037093113,0.992 +26073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.182919839,0.992 +26074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.936676184,0.992 +26075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.241807009,0.992 +26077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.162594825,0.992 +26076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.865647897,0.992 +26079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.245070103,0.992 +26078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,9.427113986,0.992 +26081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.808257942,0.992 +26080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.201539335,0.992 +26082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.476139376,0.992 +26083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.434101753,0.992 +26084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.752758095,0.992 +26085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.062340156,0.992 +26086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.176607934,0.992 +26087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.995759924,0.992 +26088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.125047794,0.992 +26089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.434814265,0.992 +26091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.523363109,0.992 +26092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.707759292,0.992 +26090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.77501629,0.992 +26093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.245969575,0.992 +26094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.311436465,0.992 +26095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.746873856,0.992 +26096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.22734473,0.992 +26097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,-0.245934666,0.992 +26098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.199738363,0.992 +26099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.798704266,0.992 +26100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,10.00075802,0.992 +26101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.755009506,0.992 +26102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.220755555,0.992 +26103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.247479369,0.992 +26105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.469467105,0.992 +26106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.068297038,0.992 +26104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.476444025,0.992 +26107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.508742601,0.992 +26109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.254910003,0.992 +26108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.12082348,0.992 +26110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.475951462,0.992 +26111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.188215046,0.992 +26113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.076664474,0.992 +26112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.618609876,0.992 +26114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.009412209,0.992 +26115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.620538998,0.992 +26116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,9.170555842,0.992 +26117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.785995898,0.992 +26118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.674029027,0.992 +26119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.054655746,0.992 +26120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.525438019,0.992 +26121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.80642605,0.992 +26123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.740586822,0.992 +26125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.881295025,0.992 +26124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.082459881,0.992 +26122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.426439102,0.992 +26126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.590254144,0.992 +26127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.228044424,0.992 +26128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.07451943,0.992 +26129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.877758555,0.992 +26130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.374545955,0.992 +26132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.82186689,0.992 +26131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,9.276200453,0.992 +26133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.610038837,0.992 +26134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.997710973,0.992 +26135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.518567093,0.992 +26136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.812752135,0.992 +26138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,8.346103336,0.992 +26139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.986377208,0.992 +26140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.061937669,0.992 +26142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.658626131,0.992 +26141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.376293176,0.992 +26137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.045220878,0.992 +26143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.670126102,0.992 +26145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.069716505,0.992 +26144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,8.669137692,0.992 +26147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.718487145,0.992 +26148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.254471316,0.992 +26149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.828033438,0.992 +26146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.677770793,0.992 +26150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,8.93412946,0.992 +26152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.752386202,0.992 +26151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.103615767,0.992 +26153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.164037982,0.992 +26154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.709146108,0.992 +26155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.478033362,0.992 +26158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.739166327,0.992 +26156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.316445599,0.992 +26157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.026636796,0.992 +26159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.478583676,0.992 +26160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.624129813,0.992 +26161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.143231517,0.992 +26163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.502358717,0.992 +26164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.90183123,0.992 +26165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.407777563,0.992 +26166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.738515819,0.992 +26167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.445644009,0.992 +26162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,8.890456811,0.992 +26168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.119517649,0.992 +26169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.732637446,0.992 +26170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.590491242,0.992 +26171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.651704203,0.992 +26172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.887000144,0.992 +26173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.885414326,0.992 +26174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.697620358,0.992 +26176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.130798021,0.992 +26175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.491009735,0.992 +26177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.657579982,0.992 +26178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.039356857,0.992 +26179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.421850295,0.992 +26180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.072546583,0.992 +26181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,9.914885284,0.992 +26183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.660243546,0.992 +26184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.165019417,0.992 +26185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.242109923,0.992 +26182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.044394351,0.992 +26186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.631272038,0.992 +26187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.06410776,0.992 +26188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.102377385,0.992 +26189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,8.519115974,0.992 +26190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.179538929,0.992 +26191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.14317784,0.992 +26192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.054299455,0.992 +26194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.012242339,0.992 +26193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.973217045,0.992 +26195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.110108842,0.992 +26196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.714077907,0.992 +26197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.935736278,0.992 +26198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.014307781,0.992 +26199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.281256704,0.992 +26200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.236055312,0.992 +26201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.341675539,0.992 +26202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.600194261,0.992 +26204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,8.579853352,0.992 +26205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.509572635,0.992 +26206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,8.451626484,0.992 +26207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,9.502844456,0.992 +26208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.220194303,0.992 +26209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.035377186,0.992 +26210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.306951126,0.992 +26211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,8.519353795,0.992 +26203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.958208995,0.992 +26214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.529469092,0.992 +26213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.474549857,0.992 +26215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.147607611,0.992 +26212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,10.03494408,0.992 +26216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.694559464,0.992 +26217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.035767871,0.992 +26218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,8.358140226,0.992 +26219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.965099561,0.992 +26221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.411527962,0.992 +26220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.86958644,0.992 +26222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.660404129,0.992 +26224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.412710534,0.992 +26225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,10.59168756,0.992 +26223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.38837519,0.992 +26228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.642316044,0.992 +26227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.007316422,0.992 +26229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.34256996,0.992 +26226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.076237198,0.992 +26230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.873499148,0.992 +26233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.821942153,0.992 +26232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.932922009,0.992 +26234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.802205416,0.992 +26235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.029682164,0.992 +26231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.27321919,0.992 +26236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.977269764,0.992 +26238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.16029499,0.992 +26237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.672130093,0.992 +26240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.027666871,0.992 +26242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.798645465,0.992 +26239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.460292721,0.992 +26243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,9.163392243,0.992 +26241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.835186732,0.992 +26245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.483854446,0.992 +26244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.406283683,0.992 +26247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.65252095,0.992 +26246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.970784995,0.992 +26248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.038803788,0.992 +26249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,8.216550146,0.992 +26250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.99964988,0.992 +26251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.855033623,0.992 +26253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.413983184,0.992 +26254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.765902809,0.992 +26255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.477418725,0.992 +26252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.126663292,0.992 +26256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.608556453,0.992 +26258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.882686697,0.992 +26257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.697995203,0.992 +26259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.060370699,0.992 +26260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.505389402,0.992 +26261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.640595109,0.992 +26262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.894330564,0.992 +26264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.510149733,0.992 +26263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.196748458,0.992 +26265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.02638509,0.992 +26266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.166799914,0.992 +26267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.753387846,0.992 +26268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.048815356,0.992 +26269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.533591581,0.992 +26270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.587926078,0.992 +26271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.420129347,0.992 +26273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.123628832,0.992 +26274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.636656035,0.992 +26272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.826173616,0.992 +26275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.259192335,0.992 +26276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,12.17699966,0.992 +26277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.938764255,0.992 +26279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.504105479,0.992 +26278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.533506467,0.992 +26280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.783271252,0.992 +26281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.343756027,0.992 +26282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.288979234,0.992 +26283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.732005384,0.992 +26284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.34165509,0.992 +26285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.26237218,0.992 +26286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.934665025,0.992 +26288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.007213693,0.992 +26287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.109389333,0.992 +26289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.336221651,0.992 +26290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.147868546,0.992 +26291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.038415931,0.992 +26292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.233310138,0.992 +26293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.252673462,0.992 +26294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.647615227,0.992 +26296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,12.07719696,0.992 +26295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.814653001,0.992 +26297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.46639438,0.992 +26298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.889159019,0.992 +26299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.726030543,0.992 +26300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.324847001,0.992 +26301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.266139018,0.992 +26302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.253270495,0.992 +26304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.511446391,0.992 +26306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.742252393,0.992 +26303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.048357669,0.992 +26307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.2785812,0.992 +26305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.17260835,0.992 +26308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.978369748,0.992 +26309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.534888565,0.992 +26310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.337283817,0.992 +26311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.895471139,0.992 +26312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.181318373,0.992 +26314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.14325362,0.992 +26315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.570092723,0.992 +26313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.591233889,0.992 +26317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.782355399,0.992 +26316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.682392333,0.992 +26318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.552631622,0.992 +26319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.772603139,0.992 +26320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.787617157,0.992 +26321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,8.656453857,0.992 +26322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.907343451,0.992 +26324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.688990407,0.992 +26323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.040803977,0.992 +26325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.494531106,0.992 +26327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.643836248,0.992 +26326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.287491607,0.992 +26328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.997933963,0.992 +26329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.282512209,0.992 +26330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.972249057,0.992 +26331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.319102047,0.992 +26332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.141555393,0.992 +26333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.883533194,0.992 +26334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.900543317,0.992 +26335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.959198776,0.992 +26336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.087415585,0.992 +26337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.176357868,0.992 +26338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.838958687,0.992 +26339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.770859428,0.992 +26340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.203175597,0.992 +26341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.294674012,0.992 +26342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.209211387,0.992 +26345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.396754022,0.992 +26344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.394536593,0.992 +26346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.789819615,0.992 +26347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.015627105,0.992 +26343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.97100509,0.992 +26349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.025530922,0.992 +26348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.997060116,0.992 +26351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.455575934,0.992 +26350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.931439393,0.992 +26352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,8.442642094,0.992 +26353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.206673768,0.992 +26354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.1175045,0.992 +26355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.99361027,0.992 +26356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.660728472,0.992 +26357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.385334364,0.992 +26358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.212010926,0.992 +26359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.050653246,0.992 +26360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.532308783,0.992 +26363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.504830313,0.992 +26364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.101324022,0.992 +26361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.649008447,0.992 +26365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.410150744,0.992 +26362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,8.324870521,0.992 +26366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.213102851,0.992 +26367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.276006815,0.992 +26369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.629506885,0.992 +26368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.059503415,0.992 +26371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,8.517749158,0.992 +26370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.9401824,0.992 +26372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.683386047,0.992 +26373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.220891203,0.992 +26374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.898918171,0.992 +26375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.018276132,0.992 +26376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.616870084,0.992 +26377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,9.465199438,0.992 +26379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.116347171,0.992 +26378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.114861112,0.992 +26381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.647610165,0.992 +26383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.957182344,0.992 +26382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.983507992,0.992 +26380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.9093182,0.992 +26384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.408941759,0.992 +26386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.848694346,0.992 +26385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.098676025,0.992 +26387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.757154768,0.992 +26388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.227742624,0.992 +26389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.072398749,0.992 +26391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.310182343,0.992 +26390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.532889546,0.992 +26392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.298708923,0.992 +26393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.022613754,0.992 +26394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.467199457,0.992 +26395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.357877974,0.992 +26396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.94501195,0.992 +26397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.124346435,0.992 +26398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.784129958,0.992 +26400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.617349276,0.992 +26401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.725548984,0.992 +26403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.850561808,0.992 +26402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.897230196,0.992 +26404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.393870449,0.992 +26399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.35501264,0.992 +26406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.930119376,0.992 +26405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.729478982,0.992 +26407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.019581986,0.992 +26410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,8.570907455,0.992 +26409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.349893493,0.992 +26411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.372477873,0.992 +26408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.885919274,0.992 +26415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.033106952,0.992 +26413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.736334527,0.992 +26412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.95988926,0.992 +26414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.056582175,0.992 +26417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.456363678,0.992 +26416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.234872062,0.992 +26418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.186197304,0.992 +26419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,10.22856952,0.992 +26420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.15474362,0.992 +26422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.020812518,0.992 +26423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.878564822,0.992 +26424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.039493116,0.992 +26425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.311978735,0.992 +26426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.676039844,0.992 +26421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.86807876,0.992 +26427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.141711358,0.992 +26430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.656844188,0.992 +26429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,9.233916752,0.992 +26428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.212106707,0.992 +26431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.145222361,0.992 +26433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.326506735,0.992 +26434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,9.495652343,0.992 +26432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.283036969,0.992 +26435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.737123796,0.992 +26436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.545450033,0.992 +26437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.873359621,0.992 +26438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.492116702,0.992 +26439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.124177535,0.992 +26440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.126360062,0.992 +26441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.615576972,0.992 +26443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.523583185,0.992 +26444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.416718568,0.992 +26445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.495578923,0.992 +26446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.533680895,0.992 +26442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.062741487,0.992 +26447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.554068681,0.992 +26448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.66524138,0.992 +26449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.920243944,0.992 +26451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.180191136,0.992 +26450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.543596825,0.992 +26452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.658580505,0.992 +26454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.448584822,0.992 +26453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.657858398,0.992 +26455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.145802891,0.992 +26456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.748437511,0.992 +26460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.019230884,0.992 +26458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.630749232,0.992 +26457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.320810861,0.992 +26459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.462806147,0.992 +26461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.01031952,0.992 +26462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.467928215,0.992 +26463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.712489476,0.992 +26464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.352168684,0.992 +26465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.618075194,0.992 +26466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.277904637,0.992 +26467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.077132937,0.992 +26468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.040811445,0.992 +26469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.985444342,0.992 +26470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.728729929,0.992 +26471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.074822492,0.992 +26472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.115472871,0.992 +26473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.637144138,0.992 +26474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.341459196,0.992 +26475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.711577179,0.992 +26477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.15775227,0.992 +26476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.933899157,0.992 +26478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.433086126,0.992 +26479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,8.92080836,0.992 +26480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.132614312,0.992 +26481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.953398758,0.992 +26482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.934683561,0.992 +26483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.965225786,0.992 +26484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.401062979,0.992 +26486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.610955329,0.992 +26485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.747027692,0.992 +26487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,8.546751631,0.992 +26489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.472255034,0.992 +26491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.835738554,0.992 +26488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.885360676,0.992 +26492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.438351176,0.992 +26490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.336511929,0.992 +26494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.210843057,0.992 +26493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.689431815,0.992 +26495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.330674359,0.992 +26497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.615692805,0.992 +26498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.522186516,0.992 +26496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.490058195,0.992 +26499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.754256091,0.992 +26500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.005598769,0.992 +26501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.851651257,0.992 +26502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.640560671,0.992 +26503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.894446056,0.992 +26504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.77427416,0.992 +26505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.727479017,0.992 +26507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.080114634,0.992 +26506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.526380764,0.992 +26508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.558296774,0.992 +26509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.303799546,0.992 +26510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.46999801,0.992 +26512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.186499013,0.992 +26513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.718769047,0.992 +26514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.850155116,0.992 +26515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.803776148,0.992 +26511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.992358951,0.992 +26516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.613975816,0.992 +26520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.416444485,0.992 +26517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.640050962,0.992 +26519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.774986861,0.992 +26518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,8.99909047,0.992 +26523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.362183577,0.992 +26521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.987508714,0.992 +26522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.064387846,0.992 +26524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.472450218,0.992 +26525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.244322707,0.992 +26527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.404142518,0.992 +26526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.474307104,0.992 +26528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.879699327,0.992 +26530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.635163681,0.992 +26531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.371443018,0.992 +26532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.216843562,0.992 +26529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.159238133,0.992 +26533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.74206771,0.992 +26534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,8.855015099,0.992 +26535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.057710563,0.992 +26536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,8.173698232,0.992 +26537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.008688663,0.992 +26538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.693450368,0.992 +26539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.055666041,0.992 +26540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.839015669,0.992 +26541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.639773886,0.992 +26542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.548393313,0.992 +26543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.570026872,0.992 +26544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.981204715,0.992 +26545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.335922062,0.992 +26546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.626004438,0.992 +26547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.595686148,0.992 +26549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.40182202,0.992 +26550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.788856208,0.992 +26548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.215700585,0.992 +26551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.836529981,0.992 +26553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.929978668,0.992 +26552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.665055796,0.992 +26554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.359684562,0.992 +26555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.458973198,0.992 +26556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.030695995,0.992 +26557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.843681504,0.992 +26559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.140050493,0.992 +26558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.63418728,0.992 +26560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.674739876,0.992 +26561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.655567254,0.992 +26562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.640981856,0.992 +26565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.215709022,0.992 +26564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.389512168,0.992 +26563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.087586691,0.992 +26566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.053072373,0.992 +26567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.213445795,0.992 +26568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.47791701,0.992 +26569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.885507188,0.992 +26570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.605348742,0.992 +26571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.58299439,0.992 +26572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.268329949,0.992 +26573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,9.684360044,0.992 +26574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,9.747978131,0.992 +26575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.479196216,0.992 +26576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.046518507,0.992 +26577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.5727564,0.992 +26578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.909822698,0.992 +26579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.365819791,0.992 +26580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,9.112295111,0.992 +26582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.702391712,0.992 +26583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.375454679,0.992 +26581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.072313014,0.992 +26585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.200882734,0.992 +26586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.415280004,0.992 +26587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.339543698,0.992 +26589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.168846668,0.992 +26588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.66123393,0.992 +26584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,11.32383538,0.992 +26590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.639242995,0.992 +26591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.865522364,0.992 +26592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,8.596455914,0.992 +26594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.423735541,0.992 +26593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.772909488,0.992 +26596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.460337051,0.992 +26595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.120300812,0.992 +26598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.09150348,0.992 +26599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.132814882,0.992 +26597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.223421451,0.992 +26600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.263798638,0.992 +26601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.768733944,0.992 +26602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.678223577,0.992 +26603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,8.002267483,0.992 +26604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.030014472,0.992 +26606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.34595388,0.992 +26607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.176134424,0.992 +26608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.579638035,0.992 +26609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.093548143,0.992 +26611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.007439634,0.992 +26605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.3960091,0.992 +26610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.244747127,0.992 +26614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.299948601,0.992 +26615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.495728171,0.992 +26612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.650205355,0.992 +26613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.643854613,0.992 +26616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.194362732,0.992 +26618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.793762359,0.992 +26619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.758330072,0.992 +26617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.007435282,0.992 +26620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.982496867,0.992 +26621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.490362942,0.992 +26622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,-0.852595803,0.992 +26623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.386373293,0.992 +26625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.228951971,0.992 +26626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.739045105,0.992 +26624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.160861176,0.992 +26627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.582457605,0.992 +26629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.040156456,0.992 +26630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.698010369,0.992 +26628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.862827302,0.992 +26631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.913687094,0.992 +26632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.057677395,0.992 +26633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.097957124,0.992 +26634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.03913509,0.992 +26635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.661974925,0.992 +26636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.667754167,0.992 +26637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.614499492,0.992 +26638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.150665741,0.992 +26640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.622149675,0.992 +26642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.328638223,0.992 +26639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.514311837,0.992 +26641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.126385469,0.992 +26643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.506708992,0.992 +26645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,11.78282283,0.992 +26644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.980917676,0.992 +26646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.28384905,0.992 +26647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.619815973,0.992 +26648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.701605121,0.992 +26649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.403867167,0.992 +26650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.08275384,0.992 +26651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.633161827,0.992 +26653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.893476606,0.992 +26654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.807863082,0.992 +26652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.97876,0.992 +26655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.496006499,0.992 +26656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.68741752,0.992 +26658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,9.463131907,0.992 +26657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.266961881,0.992 +26659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.420117778,0.992 +26662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.316980865,0.992 +26663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.719442566,0.992 +26661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.855064612,0.992 +26660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.81477579,0.992 +26664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.685091489,0.992 +26665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.923762232,0.992 +26667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.910668946,0.992 +26668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.953958321,0.992 +26669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.861711297,0.992 +26666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.750850376,0.992 +26670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.349891828,0.992 +26673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.935291658,0.992 +26674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.217734707,0.992 +26671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.43177153,0.992 +26672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.364375935,0.992 +26675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.659915984,0.992 +26677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.644617513,0.992 +26678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.549364865,0.992 +26676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.243376911,0.992 +26680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.724324357,0.992 +26681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.085595255,0.992 +26682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.096258632,0.992 +26683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.002578306,0.992 +26679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.67848788,0.992 +26684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,11.529453,0.992 +26686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.689869215,0.992 +26687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.5820255,0.992 +26685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.152615065,0.992 +26688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.456288253,0.992 +26690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.936332435,0.992 +26691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.423257653,0.992 +26689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.956381983,0.992 +26692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,8.349044448,0.992 +26695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,9.158606391,0.992 +26694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.017051422,0.992 +26696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,11.98017508,0.992 +26698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.349524322,0.992 +26693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.846193364,0.992 +26699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.939290001,0.992 +26697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.702378583,0.992 +26700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.617918239,0.992 +26701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.977615938,0.992 +26703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.413263983,0.992 +26702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.649804728,0.992 +26705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.751062247,0.992 +26706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.556667729,0.992 +26704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.524178469,0.992 +26707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.053454615,0.992 +26708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.705168778,0.992 +26710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.822420868,0.992 +26709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,10.40887629,0.992 +26711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.70903047,0.992 +26713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.808924221,0.992 +26715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.181937821,0.992 +26714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.585602748,0.992 +26717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.295868941,0.992 +26716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.424502528,0.992 +26718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.031891489,0.992 +26712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.238005388,0.992 +26721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.424934886,0.992 +26719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.407311078,0.992 +26722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,-0.684049803,0.992 +26720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.023798952,0.992 +26723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.364910297,0.992 +26724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.501718051,0.992 +26725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.902466437,0.992 +26726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.470438129,0.992 +26728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,10.40955571,0.992 +26729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.539149088,0.992 +26730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.384845176,0.992 +26731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.972609713,0.992 +26727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.653476629,0.992 +26733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.230268231,0.992 +26732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.682377621,0.992 +26735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.390822936,0.992 +26736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,8.60378145,0.992 +26734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.009545998,0.992 +26737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,-0.670075612,0.992 +26738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.055824521,0.992 +26740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.824851582,0.992 +26739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.222873821,0.992 +26744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,11.41050535,0.992 +26742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.886239022,0.992 +26743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.318251068,0.992 +26741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.015606638,0.992 +26746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.04783888,0.992 +26747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.59160797,0.992 +26745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.482028776,0.992 +26748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.539206851,0.992 +26749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.798056398,0.992 +26750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.023079257,0.992 +26753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.0913261,0.992 +26751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.111747986,0.992 +26752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.884033928,0.992 +26754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.689084736,0.992 +26756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,8.833066761,0.992 +26755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,-0.271790383,0.992 +26758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.286965583,0.992 +26759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.976208938,0.992 +26757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,8.065631343,0.992 +26760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.275918743,0.992 +26761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.742444742,0.992 +26763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.173568161,0.992 +26764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.876780943,0.992 +26765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,10.12374632,0.992 +26762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.927702305,0.992 +26766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.631637972,0.992 +26767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.816693292,0.992 +26769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.275435829,0.992 +26768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.033603652,0.992 +26771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.53736153,0.992 +26772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.286942508,0.992 +26773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.659354755,0.992 +26770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,8.772646707,0.992 +26774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.158322621,0.992 +26775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.843688223,0.992 +26776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.324799085,0.992 +26777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.295648757,0.992 +26778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.806954547,0.992 +26780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.119013375,0.992 +26781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.565487959,0.992 +26779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.81965683,0.992 +26782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.66160318,0.992 +26783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.940277243,0.992 +26785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.874242401,0.992 +26786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.055477644,0.992 +26784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.055652016,0.992 +26787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.940988014,0.992 +26788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.006457619,0.992 +26789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.729076785,0.992 +26790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.443058119,0.992 +26791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.91908396,0.992 +26792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.213166401,0.992 +26793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.555364338,0.992 +26794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.915859128,0.992 +26795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.255573279,0.992 +26796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.772535627,0.992 +26797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.270313742,0.992 +26798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.981495599,0.992 +26799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.208521396,0.992 +26800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.21571987,0.992 +26801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,12.3886675,0.992 +26803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.477085776,0.992 +26802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.252229322,0.992 +26805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.543502455,0.992 +26804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.386190194,0.992 +26806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.554229,0.992 +26807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.085166638,0.992 +26808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.304267881,0.992 +26809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.372978444,0.992 +26811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.937427226,0.992 +26810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.38627846,0.992 +26813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.236869191,0.992 +26812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.765287074,0.992 +26815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.290324537,0.992 +26816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.147734055,0.992 +26817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.413666089,0.992 +26818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.255271248,0.992 +26814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.574459692,0.992 +26819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.969599683,0.992 +26820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.666562466,0.992 +26821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.125996394,0.992 +26823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.867480873,0.992 +26824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.697706667,0.992 +26822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,8.635677924,0.992 +26825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.27506761,0.992 +26826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.20245445,0.992 +26827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.019093897,0.992 +26828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.664614247,0.992 +26829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.72866463,0.992 +26830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.006853928,0.992 +26831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.402057653,0.992 +26832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.176798414,0.992 +26833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,8.417821762,0.992 +26834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.99348119,0.992 +26835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.523131012,0.992 +26837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.158026971,0.992 +26839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.294909536,0.992 +26838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.509547939,0.992 +26840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,8.039662696,0.992 +26836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.66039845,0.992 +26842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.549120145,0.992 +26843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.415146248,0.992 +26841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.13718536,0.992 +26844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.987205321,0.992 +26845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.529471955,0.992 +26846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.389202745,0.992 +26848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.685311699,0.992 +26847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.815323022,0.992 +26850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.934204258,0.992 +26849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.035359907,0.992 +26852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.60931951,0.992 +26851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.134956681,0.992 +26853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.972993429,0.992 +26854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.464438115,0.992 +26856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.042521671,0.992 +26858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.357675377,0.992 +26859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.523017881,0.992 +26857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.352417745,0.992 +26855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.723543503,0.992 +26860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.14447067,0.992 +26862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.780479285,0.992 +26861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.144546177,0.992 +26863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.085537972,0.992 +26864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.453850884,0.992 +26866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.845354506,0.992 +26865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,11.1511,0.992 +26867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.634631588,0.992 +26870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.042027479,0.992 +26869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.240829524,0.992 +26868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.463907722,0.992 +26871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.514818672,0.992 +26873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.237522077,0.992 +26872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.612750442,0.992 +26874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.52646969,0.992 +26875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.532759795,0.992 +26876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.674125751,0.992 +26877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.587672782,0.992 +26878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.211408289,0.992 +26879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.984698172,0.992 +26880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.021680413,0.992 +26881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.717348474,0.992 +26882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.992927139,0.992 +26885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.720130998,0.992 +26883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.052046745,0.992 +26884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.675458927,0.992 +26886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.722628317,0.992 +26887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.063490147,0.992 +26889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.468612163,0.992 +26888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.809504787,0.992 +26890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.9052418,0.992 +26891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.775283701,0.992 +26893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.552967544,0.992 +26892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.130736905,0.992 +26895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,9.230219472,0.992 +26896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.302243513,0.992 +26898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.55582066,0.992 +26897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.100484258,0.992 +26899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.829651518,0.992 +26894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.061394112,0.992 +26900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.033367012,0.992 +26901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.516212391,0.992 +26902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.244803998,0.992 +26904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.782278477,0.992 +26903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.009022762,0.992 +26906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,12.19580607,0.992 +26905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.744698512,0.992 +26907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.216147794,0.992 +26908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.194690158,0.992 +26909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.731889264,0.992 +26912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.047278366,0.992 +26911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.042268932,0.992 +26910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.751503614,0.992 +26913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.476595735,0.992 +26914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.107643139,0.992 +26916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.595043895,0.992 +26917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.242136455,0.992 +26915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.621355423,0.992 +26919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.548037311,0.992 +26918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.008183984,0.992 +26921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.200651305,0.992 +26920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.727252069,0.992 +26922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.178769014,0.992 +26923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.782128376,0.992 +26924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.91643475,0.992 +26925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.286305321,0.992 +26927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.555186163,0.992 +26928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.497856675,0.992 +26926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.498964085,0.992 +26929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.048716471,0.992 +26930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.807818859,0.992 +26933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.382969656,0.992 +26932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.036994998,0.992 +26931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.855198218,0.992 +26934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,11.51002234,0.992 +26936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.346040309,0.992 +26935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.207232542,0.992 +26937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.178776165,0.992 +26938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,8.113689502,0.992 +26940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.594905453,0.992 +26941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.485584847,0.992 +26942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.803986389,0.992 +26943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.226835408,0.992 +26944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.044047663,0.992 +26939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.667466466,0.992 +26945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.553109077,0.992 +26946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.122371709,0.992 +26949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.094032576,0.992 +26948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.418253508,0.992 +26947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.13449835,0.992 +26950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.482321341,0.992 +26951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.169779499,0.992 +26952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.810912229,0.992 +26953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.76260059,0.992 +26954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.542331918,0.992 +26955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.658366199,0.992 +26957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.305094682,0.992 +26958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.305720144,0.992 +26959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.47738203,0.992 +26960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.832215582,0.992 +26956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.71179175,0.992 +26961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.746830651,0.992 +26962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.375496868,0.992 +26964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.610914593,0.992 +26963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.350421507,0.992 +26965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.156256559,0.992 +26968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.293975499,0.992 +26966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.82005261,0.992 +26967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.471729774,0.992 +26969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.745366601,0.992 +26970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.268385868,0.992 +26971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.217186419,0.992 +26972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.971858944,0.992 +26973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.203614589,0.992 +26974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,8.260091527,0.992 +26975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,0.964711958,0.992 +26976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.593477572,0.992 +26980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.523311183,0.992 +26979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.791936249,0.992 +26977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,-0.020504093,0.992 +26978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.424359352,0.992 +26984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.993985049,0.992 +26982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,5.397696713,0.992 +26981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.83744873,0.992 +26983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.599091859,0.992 +26985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,8.426157726,0.992 +26987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,1.561008336,0.992 +26986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.647450663,0.992 +26990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.285297864,0.992 +26988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,10.17979908,0.992 +26989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,7.83303915,0.992 +26991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.56762631,0.992 +26994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.915679228,0.992 +26995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.693238393,0.992 +26993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.443042421,0.992 +26992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,2.89267113,0.992 +26999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,-1.225110118,0.992 +26997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,6.400971932,0.992 +26996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.369701184,0.992 +26998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,3.193659702,0.992 +27000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,7,1,4.105512372,0.992 +36001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.048807096,0.999 +36003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.640807804,0.999 +36005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,0.734098234,0.999 +36002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.159405641,0.999 +36004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.861226731,0.999 +36006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,0.861603649,0.999 +36007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.665490497,0.999 +36008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.179346312,0.999 +36009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.588446008,0.999 +36010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.583364624,0.999 +36012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.211196412,0.999 +36013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.569298153,0.999 +36011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,8.839721884,0.999 +36014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.589228611,0.999 +36015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.915329007,0.999 +36016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.78955663,0.999 +36017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.958744679,0.999 +36018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.113243807,0.999 +36019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.778917344,0.999 +36020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.905200347,0.999 +36022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.70552697,0.999 +36023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.16921838,0.999 +36024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.101773438,0.999 +36025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.02588155,0.999 +36026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.400892175,0.999 +36027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.872598266,0.999 +36028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.799809635,0.999 +36021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.911552637,0.999 +36029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.0932484,0.999 +36030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.769043791,0.999 +36031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.584278893,0.999 +36032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.01347581,0.999 +36033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.913715522,0.999 +36034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.918628819,0.999 +36036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.347631331,0.999 +36035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.648025694,0.999 +36037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.588849679,0.999 +36038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.984187908,0.999 +36039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,9.020883983,0.999 +36040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.864391698,0.999 +36041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,9.272473372,0.999 +36042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.317806363,0.999 +36044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.923457398,0.999 +36046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.730126447,0.999 +36045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.281887287,0.999 +36043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.31482514,0.999 +36047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.175473268,0.999 +36048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.872460221,0.999 +36050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.021197174,0.999 +36049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.453940684,0.999 +36051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.266078111,0.999 +36052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.97992979,0.999 +36054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.129982988,0.999 +36053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.42043976,0.999 +36055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.016205539,0.999 +36056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.6881305,0.999 +36057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.82773339,0.999 +36058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.286490584,0.999 +36059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.112585227,0.999 +36060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.264792515,0.999 +36061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.069032535,0.999 +36063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,0.655260981,0.999 +36064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.480357065,0.999 +36062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.029209638,0.999 +36065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.704196471,0.999 +36066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.229378798,0.999 +36067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.476022285,0.999 +36069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.987591925,0.999 +36068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.706866776,0.999 +36070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.16221177,0.999 +36071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.441965845,0.999 +36072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.735083667,0.999 +36073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.312794458,0.999 +36074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.076721467,0.999 +36075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.659579775,0.999 +36077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,8.59445124,0.999 +36078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.521909381,0.999 +36076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.826752687,0.999 +36079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.477024849,0.999 +36080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.029342987,0.999 +36081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.73681145,0.999 +36083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.447149759,0.999 +36082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.235752727,0.999 +36085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.433037498,0.999 +36086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.222541609,0.999 +36087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.425807353,0.999 +36088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.996817415,0.999 +36089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.33436135,0.999 +36090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.065091112,0.999 +36091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.769706662,0.999 +36084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.342421933,0.999 +36092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.021729869,0.999 +36095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.68548991,0.999 +36094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,0.759553879,0.999 +36096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,0.95057995,0.999 +36093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.311882234,0.999 +36097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,8.058163728,0.999 +36099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.950047321,0.999 +36098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.99092736,0.999 +36100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.364261476,0.999 +36102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.532721826,0.999 +36101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.705237275,0.999 +36103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.589580286,0.999 +36104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.477093839,0.999 +36105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.604693474,0.999 +36107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.80199404,0.999 +36108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.170265384,0.999 +36106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.986549227,0.999 +36110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.623806146,0.999 +36112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.840944478,0.999 +36109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.074220282,0.999 +36113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.536224707,0.999 +36114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.315383528,0.999 +36111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.773407394,0.999 +36115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.825692451,0.999 +36116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.207519738,0.999 +36117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.650228454,0.999 +36119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.969955677,0.999 +36118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.371316861,0.999 +36120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.209884234,0.999 +36122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.201666318,0.999 +36123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.434187173,0.999 +36121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.490676458,0.999 +36124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.552176008,0.999 +36126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.354695871,0.999 +36127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.290982324,0.999 +36125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.987809419,0.999 +36128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.767260677,0.999 +36130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.570168645,0.999 +36131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.224076298,0.999 +36132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.821199963,0.999 +36133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.492590441,0.999 +36129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.413574086,0.999 +36134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.998913952,0.999 +36135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.94844786,0.999 +36138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.860724502,0.999 +36137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.286330907,0.999 +36139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.512886132,0.999 +36136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.252808511,0.999 +36141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.014466359,0.999 +36143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.496735786,0.999 +36140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.974129331,0.999 +36142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.465118808,0.999 +36144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.037293026,0.999 +36146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.080963396,0.999 +36145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.475713472,0.999 +36147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,10.80899376,0.999 +36150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.114710468,0.999 +36149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.729561763,0.999 +36151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.653999527,0.999 +36153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.588820203,0.999 +36154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.372759094,0.999 +36148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,10.95714197,0.999 +36152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,8.345478236,0.999 +36155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.428408245,0.999 +36157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,12.41553368,0.999 +36156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.54482371,0.999 +36158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.297396601,0.999 +36159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.742353806,0.999 +36162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.079322985,0.999 +36161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,10.74269034,0.999 +36160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.801689938,0.999 +36163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.211814235,0.999 +36165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.563758435,0.999 +36164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.569895833,0.999 +36166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.293521081,0.999 +36167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.465675087,0.999 +36169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.062971771,0.999 +36168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.572543603,0.999 +36170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,9.632093251,0.999 +36171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.077262302,0.999 +36173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.214165295,0.999 +36172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.782897383,0.999 +36177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.629308778,0.999 +36176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.93395802,0.999 +36175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.164790731,0.999 +36174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.98584838,0.999 +36178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.122358733,0.999 +36179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.103593688,0.999 +36180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.703408468,0.999 +36181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.125210615,0.999 +36182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.674580336,0.999 +36183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.540150046,0.999 +36184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.155701398,0.999 +36187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.088610181,0.999 +36188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.515894476,0.999 +36186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.877605341,0.999 +36185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.500803807,0.999 +36189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.234153678,0.999 +36190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.636491053,0.999 +36192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.60341595,0.999 +36191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.803775119,0.999 +36194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.352303555,0.999 +36193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.857405651,0.999 +36195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.094910905,0.999 +36196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.856298733,0.999 +36198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.558394634,0.999 +36197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.869359944,0.999 +36199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.697022529,0.999 +36200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.749494924,0.999 +36202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.292648715,0.999 +36201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.419892696,0.999 +36204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.807785117,0.999 +36203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.490223534,0.999 +36205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.681937446,0.999 +36206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.328829816,0.999 +36207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.315141923,0.999 +36208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.99619075,0.999 +36209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.380121456,0.999 +36210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,9.255011569,0.999 +36211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.890778591,0.999 +36212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.301085352,0.999 +36213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.266518043,0.999 +36214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.529105631,0.999 +36216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.990793409,0.999 +36217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.969728432,0.999 +36215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.356803581,0.999 +36218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.192446558,0.999 +36219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.258875115,0.999 +36220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.661400862,0.999 +36221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.934816616,0.999 +36222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,8.433324945,0.999 +36224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,8.041320592,0.999 +36223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.112597051,0.999 +36225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.224917296,0.999 +36226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.282209865,0.999 +36228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.539006909,0.999 +36227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.394626747,0.999 +36229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.014443073,0.999 +36230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.697103954,0.999 +36231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.443480026,0.999 +36232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,8.193102595,0.999 +36234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.593665363,0.999 +36235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.866163333,0.999 +36236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.928563106,0.999 +36233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.354721975,0.999 +36237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.846289628,0.999 +36239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.725415172,0.999 +36238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.216365934,0.999 +36240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.048922824,0.999 +36241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.157159651,0.999 +36242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.978793108,0.999 +36244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.139491111,0.999 +36243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.598667429,0.999 +36245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.788439417,0.999 +36247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.454036953,0.999 +36246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.356355212,0.999 +36248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.448246207,0.999 +36249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.163044547,0.999 +36252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,10.72633186,0.999 +36251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.241374754,0.999 +36253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,0.910406997,0.999 +36250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.589894066,0.999 +36255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.763045612,0.999 +36256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.093095395,0.999 +36257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.401172112,0.999 +36258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.93687933,0.999 +36259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.065539097,0.999 +36254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,0.335875207,0.999 +36260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,8.013169611,0.999 +36261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.513726316,0.999 +36263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.046690104,0.999 +36262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.381696825,0.999 +36264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.647829957,0.999 +36265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.856733294,0.999 +36266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.483162936,0.999 +36267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.924751954,0.999 +36269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,0.629522107,0.999 +36270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,0.701799269,0.999 +36268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,0.902831297,0.999 +36271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.217233052,0.999 +36272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.939632063,0.999 +36275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,0.802246631,0.999 +36274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.078220034,0.999 +36273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.028942675,0.999 +36278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.637247164,0.999 +36276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,8.567152138,0.999 +36279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.834902235,0.999 +36277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.710401053,0.999 +36281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.837033896,0.999 +36282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.712874379,0.999 +36283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.271159826,0.999 +36280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.761390208,0.999 +36284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.966878273,0.999 +36285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.271982269,0.999 +36286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.303434222,0.999 +36288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.82407168,0.999 +36290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.087480185,0.999 +36287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.801710159,0.999 +36289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.752627543,0.999 +36293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.764459491,0.999 +36291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.780657954,0.999 +36294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.250742243,0.999 +36292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.142692355,0.999 +36295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.941361718,0.999 +36297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,11.51615937,0.999 +36298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,0.628922851,0.999 +36296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.603866852,0.999 +36300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.807714956,0.999 +36301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.341491922,0.999 +36302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.549582146,0.999 +36304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.695573179,0.999 +36299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.79953401,0.999 +36305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.91722895,0.999 +36303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,9.775728422,0.999 +36307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.485820943,0.999 +36306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.836729575,0.999 +36308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,0.424723175,0.999 +36309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.97176827,0.999 +36310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.966316949,0.999 +36311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.043288613,0.999 +36312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.816363429,0.999 +36313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.011946941,0.999 +36314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.971336025,0.999 +36315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.912662169,0.999 +36316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.825982138,0.999 +36317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.178977631,0.999 +36319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.35398759,0.999 +36320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.25708431,0.999 +36318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.599645794,0.999 +36321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.879670126,0.999 +36322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.259015451,0.999 +36324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.935866282,0.999 +36323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.787677322,0.999 +36325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.761211234,0.999 +36326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.441685727,0.999 +36328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.503867048,0.999 +36329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.619423886,0.999 +36327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.350531185,0.999 +36330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.108156045,0.999 +36331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.383832924,0.999 +36332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.046245014,0.999 +36333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.127671567,0.999 +36334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.200326321,0.999 +36335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.44465063,0.999 +36338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.097482835,0.999 +36336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.801721238,0.999 +36339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.15314833,0.999 +36337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.194962081,0.999 +36341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.588378348,0.999 +36340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,9.068496719,0.999 +36342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.66059722,0.999 +36344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.384910599,0.999 +36345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.000745399,0.999 +36343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.014218346,0.999 +36346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.868849097,0.999 +36347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.623674483,0.999 +36348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.496346817,0.999 +36349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,12.35700983,0.999 +36350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.313440378,0.999 +36351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.567392472,0.999 +36352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.385857673,0.999 +36354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,0.797242609,0.999 +36353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.427127495,0.999 +36356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,0.862371906,0.999 +36355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.527397621,0.999 +36357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.781518675,0.999 +36358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.95899957,0.999 +36359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.584891014,0.999 +36360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.568338008,0.999 +36361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.222950089,0.999 +36362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.003582367,0.999 +36363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.674909123,0.999 +36364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.405879212,0.999 +36365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.487785499,0.999 +36367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.301153282,0.999 +36366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.449559451,0.999 +36368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.878862189,0.999 +36369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.808755225,0.999 +36370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.078268121,0.999 +36371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.984009838,0.999 +36372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.049383516,0.999 +36373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.365121689,0.999 +36374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.474973205,0.999 +36375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.81825046,0.999 +36376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.718726859,0.999 +36377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.821404159,0.999 +36378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.469945402,0.999 +36379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.533560025,0.999 +36381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.39350291,0.999 +36382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.19633048,0.999 +36380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.959870589,0.999 +36384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.771129319,0.999 +36385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.351486216,0.999 +36387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.604933777,0.999 +36388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.16281719,0.999 +36386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.520099286,0.999 +36383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.43416942,0.999 +36390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.137314136,0.999 +36389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.753904838,0.999 +36392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.915604327,0.999 +36393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.166072515,0.999 +36394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.117566117,0.999 +36391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.690625874,0.999 +36395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.34914706,0.999 +36398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.07127429,0.999 +36396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.709102171,0.999 +36397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.988008186,0.999 +36399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.64878385,0.999 +36400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,8.174211106,0.999 +36401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,0.074033084,0.999 +36402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.887791876,0.999 +36405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.164636555,0.999 +36406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.581446094,0.999 +36407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.120440051,0.999 +36404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,8.399253771,0.999 +36408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,8.520482504,0.999 +36403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.467581917,0.999 +36409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,11.8782312,0.999 +36411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.583487757,0.999 +36412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.558365817,0.999 +36410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.264669544,0.999 +36416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.044399151,0.999 +36415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,0.190273502,0.999 +36413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,0.707535307,0.999 +36414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.313373615,0.999 +36417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.112069204,0.999 +36418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.322710566,0.999 +36419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.095579387,0.999 +36420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.126870296,0.999 +36422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.71012217,0.999 +36423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.352903248,0.999 +36421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.680123723,0.999 +36425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.668609616,0.999 +36424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.556526667,0.999 +36426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.621290277,0.999 +36427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,8.25914732,0.999 +36429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.649061052,0.999 +36431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.147575607,0.999 +36428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.70229789,0.999 +36432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.147696757,0.999 +36430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.663635339,0.999 +36433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.68373024,0.999 +36436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,8.244518023,0.999 +36434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.715480965,0.999 +36435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.792916878,0.999 +36439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.310165494,0.999 +36438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.5418757,0.999 +36437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.505552563,0.999 +36441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.359846529,0.999 +36442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.332769025,0.999 +36443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.165988294,0.999 +36440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.717781781,0.999 +36446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.613101988,0.999 +36447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.508653351,0.999 +36444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.362403767,0.999 +36445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.544658584,0.999 +36448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.031339974,0.999 +36450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.017929569,0.999 +36449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.542379383,0.999 +36451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.117734771,0.999 +36453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.720301078,0.999 +36452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.536443034,0.999 +36455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.469014696,0.999 +36456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.352702732,0.999 +36457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.294530513,0.999 +36458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.608480807,0.999 +36454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,0.7883113,0.999 +36460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,0.914437742,0.999 +36462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.792748841,0.999 +36459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.481736683,0.999 +36463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.066320578,0.999 +36461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.886628915,0.999 +36465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.499953216,0.999 +36464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.575319022,0.999 +36466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,8.59528648,0.999 +36467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.995947972,0.999 +36468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.211616014,0.999 +36469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.692389053,0.999 +36471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.76133201,0.999 +36472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.713515064,0.999 +36474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.156248194,0.999 +36470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.193550587,0.999 +36477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.020787661,0.999 +36476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.830380229,0.999 +36473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.570043678,0.999 +36475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.067932867,0.999 +36478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.544127052,0.999 +36479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,9.310189522,0.999 +36481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.174340633,0.999 +36480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.80813907,0.999 +36483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.291004465,0.999 +36484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.426513181,0.999 +36482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.988757422,0.999 +36485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.513976459,0.999 +36486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.50430783,0.999 +36487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.665829119,0.999 +36488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.163050129,0.999 +36491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.088139247,0.999 +36489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.747892678,0.999 +36492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.1270907,0.999 +36490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.908643433,0.999 +36493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.879530682,0.999 +36494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.827049074,0.999 +36495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.227747735,0.999 +36496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.768965076,0.999 +36497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.030199517,0.999 +36498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.760956721,0.999 +36499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.777436358,0.999 +36500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.727361657,0.999 +36501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.676471228,0.999 +36502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.080654712,0.999 +36504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.504253447,0.999 +36505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.882561157,0.999 +36503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.323976358,0.999 +36507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.380724787,0.999 +36506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.966739197,0.999 +36509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.425890181,0.999 +36508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.875215413,0.999 +36510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.706872104,0.999 +36512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,9.656664192,0.999 +36511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.14458288,0.999 +36513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.360008819,0.999 +36514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.664672607,0.999 +36515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.595297151,0.999 +36516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.14250491,0.999 +36517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.424958052,0.999 +36518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.757295143,0.999 +36519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.943004494,0.999 +36520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.430403016,0.999 +36521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,8.430706396,0.999 +36522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.821393425,0.999 +36523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.045910351,0.999 +36525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.30774307,0.999 +36526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.505293414,0.999 +36527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.086700915,0.999 +36528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.506089217,0.999 +36530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.409754868,0.999 +36524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.448470334,0.999 +36529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.73676962,0.999 +36531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.805284196,0.999 +36534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.056703951,0.999 +36532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.562333571,0.999 +36533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.254405584,0.999 +36538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.201372138,0.999 +36537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.555862749,0.999 +36535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.310472107,0.999 +36536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.191649931,0.999 +36540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,0.868163792,0.999 +36542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.667053031,0.999 +36541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,-0.387384542,0.999 +36539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.983397755,0.999 +36543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.575699425,0.999 +36544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.38075625,0.999 +36545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.247455012,0.999 +36547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.004565932,0.999 +36548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.172920875,0.999 +36549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.89452194,0.999 +36546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.230831843,0.999 +36550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,10.38871676,0.999 +36552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.432759508,0.999 +36551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,8.200033894,0.999 +36553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.705216048,0.999 +36554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.866091329,0.999 +36555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.568978442,0.999 +36556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.159762681,0.999 +36557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.075918744,0.999 +36558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.572908888,0.999 +36559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.161867923,0.999 +36560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,8.880846854,0.999 +36562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.09487302,0.999 +36563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,11.81195669,0.999 +36564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.035231167,0.999 +36561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.763247667,0.999 +36565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.923075611,0.999 +36566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.198496133,0.999 +36567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.453344281,0.999 +36568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.779638204,0.999 +36569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.301441022,0.999 +36570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.944769911,0.999 +36571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,0.568371406,0.999 +36573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.875685564,0.999 +36572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,9.111214575,0.999 +36574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.746832382,0.999 +36575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,11.1226909,0.999 +36576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.407019444,0.999 +36577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.953152776,0.999 +36578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.138461644,0.999 +36579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.591744096,0.999 +36580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.622291476,0.999 +36581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.193626147,0.999 +36582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.099667354,0.999 +36583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.279622748,0.999 +36584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.991333899,0.999 +36585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,8.772605629,0.999 +36586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.867516225,0.999 +36588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.749643229,0.999 +36587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.513102411,0.999 +36589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.138588662,0.999 +36591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.396201477,0.999 +36590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.633540266,0.999 +36592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.778108036,0.999 +36593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.560095129,0.999 +36594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,0.930916533,0.999 +36596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.284311327,0.999 +36595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,8.223566807,0.999 +36599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.022656176,0.999 +36597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.711737071,0.999 +36598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.033781136,0.999 +36600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.356640794,0.999 +36601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.428276376,0.999 +36602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.389517552,0.999 +36603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.568518568,0.999 +36604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,8.294098515,0.999 +36606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.511255826,0.999 +36605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.141712218,0.999 +36607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.493868809,0.999 +36609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.962688518,0.999 +36610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.022403096,0.999 +36608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.456970348,0.999 +36611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,10.07543308,0.999 +36613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.487134273,0.999 +36612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.665779818,0.999 +36614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.897112897,0.999 +36615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.890911699,0.999 +36616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.918222012,0.999 +36617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.586063011,0.999 +36619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.704407251,0.999 +36618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.843926611,0.999 +36620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.277026241,0.999 +36621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.423560138,0.999 +36623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.631373378,0.999 +36622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.583576189,0.999 +36624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.500903755,0.999 +36625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.154349961,0.999 +36626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.563071293,0.999 +36627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.452396183,0.999 +36628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.540378011,0.999 +36629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.796433094,0.999 +36632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.791281372,0.999 +36633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.730848569,0.999 +36630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.352745349,0.999 +36634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.950573811,0.999 +36635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.37309736,0.999 +36631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.730359324,0.999 +36636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.347461921,0.999 +36637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.888565383,0.999 +36638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.193169909,0.999 +36640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.805358023,0.999 +36641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.405288439,0.999 +36639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.21627568,0.999 +36643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.31197566,0.999 +36642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.398492612,0.999 +36645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.175026573,0.999 +36646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.908485415,0.999 +36644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.791531961,0.999 +36647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.896769661,0.999 +36648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.994606818,0.999 +36650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.967655233,0.999 +36651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.974309548,0.999 +36649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.63606357,0.999 +36653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.06464308,0.999 +36654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,10.51562143,0.999 +36655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.125556255,0.999 +36656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.133208209,0.999 +36652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.344823471,0.999 +36660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.571710343,0.999 +36657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.646364131,0.999 +36658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.122537112,0.999 +36659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.854219952,0.999 +36661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.695890368,0.999 +36662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.639928548,0.999 +36663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.11820005,0.999 +36664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.940968356,0.999 +36665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.425605596,0.999 +36666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.954246731,0.999 +36668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.987441919,0.999 +36670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,8.946742808,0.999 +36667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.551634308,0.999 +36671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.103435312,0.999 +36669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.255291363,0.999 +36673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.669240755,0.999 +36672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.536213425,0.999 +36675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.058578634,0.999 +36676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.649151721,0.999 +36674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.02516735,0.999 +36678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.043244712,0.999 +36677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.163704589,0.999 +36680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.780716443,0.999 +36679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.711024175,0.999 +36681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.135259654,0.999 +36682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.254844639,0.999 +36683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.252978076,0.999 +36685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.540585517,0.999 +36684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.659698937,0.999 +36687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.497778054,0.999 +36686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.763848534,0.999 +36689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.220629416,0.999 +36688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.979505161,0.999 +36691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.848228393,0.999 +36690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.914815654,0.999 +36693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.453894187,0.999 +36694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,8.035851509,0.999 +36695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.337180781,0.999 +36692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.836532406,0.999 +36696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,0.582217454,0.999 +36698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.20811688,0.999 +36697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.65617159,0.999 +36702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.883331858,0.999 +36701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.24515445,0.999 +36700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.056995934,0.999 +36699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.714360205,0.999 +36705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.990236223,0.999 +36704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.70584416,0.999 +36703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.879315829,0.999 +36706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.151332788,0.999 +36707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.528223579,0.999 +36709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,10.28184326,0.999 +36708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.632060611,0.999 +36711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.038153294,0.999 +36710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.149864904,0.999 +36713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.046282936,0.999 +36712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.840719008,0.999 +36714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.423006741,0.999 +36716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.341106559,0.999 +36717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.329984627,0.999 +36718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.64252181,0.999 +36715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.677112171,0.999 +36720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.623961523,0.999 +36719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.645823406,0.999 +36721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.254187365,0.999 +36722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.138080735,0.999 +36724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.341594775,0.999 +36723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.092473199,0.999 +36725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.863003281,0.999 +36726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.487904964,0.999 +36727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.550966834,0.999 +36728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.164252658,0.999 +36729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.688488229,0.999 +36730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.895825508,0.999 +36731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.129250197,0.999 +36732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,0.753577611,0.999 +36733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.482348041,0.999 +36736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.340017895,0.999 +36735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.359086036,0.999 +36734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.64721152,0.999 +36737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.63003521,0.999 +36738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.854228388,0.999 +36739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.674144529,0.999 +36740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.410636257,0.999 +36741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.024820786,0.999 +36742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.127815505,0.999 +36743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.920704142,0.999 +36745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.578927232,0.999 +36744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.059882397,0.999 +36746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.201951511,0.999 +36747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.062711291,0.999 +36748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.40175478,0.999 +36749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.12812318,0.999 +36750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.909486896,0.999 +36751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.751041099,0.999 +36752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.78877372,0.999 +36754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.483037355,0.999 +36753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.606951626,0.999 +36755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.782018402,0.999 +36756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.180432413,0.999 +36758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.247138762,0.999 +36757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.145017733,0.999 +36759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.181124397,0.999 +36760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.799804456,0.999 +36762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.34527875,0.999 +36761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,9.007200115,0.999 +36763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.7712406,0.999 +36764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.146841163,0.999 +36765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.84322284,0.999 +36766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.468725378,0.999 +36767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.028207906,0.999 +36768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.995841197,0.999 +36770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.107045299,0.999 +36771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.406284278,0.999 +36772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.301449881,0.999 +36774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.465613891,0.999 +36775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.073385133,0.999 +36773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.678850051,0.999 +36776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.390388722,0.999 +36769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.725026775,0.999 +36777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.108915596,0.999 +36778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.313486553,0.999 +36779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.689378672,0.999 +36780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,8.471849872,0.999 +36781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.359249794,0.999 +36782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.625739645,0.999 +36784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.104734421,0.999 +36783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.671853817,0.999 +36785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.536940293,0.999 +36787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.61194911,0.999 +36788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.617554279,0.999 +36786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.82728794,0.999 +36789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.937540371,0.999 +36792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.17713439,0.999 +36791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.083065728,0.999 +36793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.596096112,0.999 +36790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.201497651,0.999 +36794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.886901846,0.999 +36795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,8.432803342,0.999 +36797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.125816566,0.999 +36796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.153862933,0.999 +36798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.904539557,0.999 +36800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.789663025,0.999 +36799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.863328988,0.999 +36801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.698907576,0.999 +36802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.253751485,0.999 +36803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.574186163,0.999 +36804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.946360763,0.999 +36805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.05288394,0.999 +36806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.093098558,0.999 +36808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.346632582,0.999 +36809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.702202179,0.999 +36810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.271339474,0.999 +36807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.110357029,0.999 +36811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.702813563,0.999 +36812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.50439733,0.999 +36814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.030722104,0.999 +36813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.68621258,0.999 +36816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.08928574,0.999 +36818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.35769459,0.999 +36817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.750857776,0.999 +36819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.950254752,0.999 +36821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.854151722,0.999 +36820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.983777858,0.999 +36815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.33024108,0.999 +36822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.507206264,0.999 +36824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.587013642,0.999 +36823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.26682433,0.999 +36826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.466402971,0.999 +36825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.619608365,0.999 +36828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.154618867,0.999 +36830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.411334958,0.999 +36827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.512887732,0.999 +36831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.534935847,0.999 +36829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.734706459,0.999 +36833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.095171866,0.999 +36834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.901938874,0.999 +36835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.337796166,0.999 +36836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.863749464,0.999 +36837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.334565476,0.999 +36838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.623634367,0.999 +36832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.318432217,0.999 +36839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.657389793,0.999 +36841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.612818115,0.999 +36843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.808151442,0.999 +36842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.394875272,0.999 +36840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,0.507855123,0.999 +36846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.216687894,0.999 +36847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.005784623,0.999 +36844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.729731408,0.999 +36845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.876057364,0.999 +36848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.612586726,0.999 +36849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.074837452,0.999 +36851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.933922295,0.999 +36850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,9.500882584,0.999 +36853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.228038412,0.999 +36855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.520263649,0.999 +36854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.955003638,0.999 +36852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.196811715,0.999 +36857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.901256845,0.999 +36858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.435909457,0.999 +36859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.94066497,0.999 +36860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.083640408,0.999 +36856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.920536326,0.999 +36861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.948238658,0.999 +36862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.51303225,0.999 +36863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.901157914,0.999 +36864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.531054229,0.999 +36865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.184494995,0.999 +36867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.679280407,0.999 +36866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.022652113,0.999 +36868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.977581603,0.999 +36869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,0.772280529,0.999 +36870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.811710074,0.999 +36872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.02360898,0.999 +36873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.075853689,0.999 +36871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.942010739,0.999 +36876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.464105914,0.999 +36874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.205859088,0.999 +36875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.527570732,0.999 +36877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.282115368,0.999 +36878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.223024567,0.999 +36879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,0.925872574,0.999 +36880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.783769598,0.999 +36882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.066590547,0.999 +36883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.249058938,0.999 +36884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.699458276,0.999 +36881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.143732068,0.999 +36885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.669605788,0.999 +36886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,8.237729601,0.999 +36887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.259037861,0.999 +36888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.542176508,0.999 +36889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.248157471,0.999 +36890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.679650991,0.999 +36891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.065198706,0.999 +36892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.134492553,0.999 +36893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.951755903,0.999 +36894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.922748995,0.999 +36895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.222177463,0.999 +36896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.514320371,0.999 +36898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.588849704,0.999 +36897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.237238866,0.999 +36899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.577305577,0.999 +36900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.531020108,0.999 +36901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.9448413,0.999 +36902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.939825275,0.999 +36903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.145278515,0.999 +36906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.408391032,0.999 +36904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.637534507,0.999 +36905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.008042187,0.999 +36907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.569422485,0.999 +36908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.743945838,0.999 +36909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.362537535,0.999 +36911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.662867399,0.999 +36912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.377464334,0.999 +36913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.029830402,0.999 +36910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.112285947,0.999 +36914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.557585695,0.999 +36915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.502491872,0.999 +36917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.669251171,0.999 +36916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.473868721,0.999 +36918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.754330613,0.999 +36919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.381318404,0.999 +36920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,12.8452274,0.999 +36922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.788458475,0.999 +36921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.099390371,0.999 +36925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.460909242,0.999 +36926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.532234607,0.999 +36923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.189795342,0.999 +36924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.081824027,0.999 +36927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.536555761,0.999 +36929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.342278476,0.999 +36928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.108690499,0.999 +36930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.342918011,0.999 +36931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.451853811,0.999 +36933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.500789133,0.999 +36932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.989780491,0.999 +36934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.159672222,0.999 +36935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.32578601,0.999 +36937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.5405726,0.999 +36936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.760820168,0.999 +36940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.805559064,0.999 +36939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.141538698,0.999 +36938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.021036081,0.999 +36941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.028679241,0.999 +36942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.677096665,0.999 +36943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.372699288,0.999 +36947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.679571417,0.999 +36946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.332466895,0.999 +36944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.113885587,0.999 +36945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.201391108,0.999 +36950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.004785644,0.999 +36951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,8.788308326,0.999 +36949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,8.798014172,0.999 +36948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.797076304,0.999 +36952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.734056858,0.999 +36953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.947779157,0.999 +36954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.94172002,0.999 +36955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.969487837,0.999 +36957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.982298001,0.999 +36958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.68217909,0.999 +36956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.924658446,0.999 +36959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,0.96713885,0.999 +36960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.760286609,0.999 +36961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.772553706,0.999 +36963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.620418826,0.999 +36962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.909909572,0.999 +36966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.303362801,0.999 +36964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.880004307,0.999 +36967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.5510413,0.999 +36965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.672792018,0.999 +36968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.350049193,0.999 +36969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.011404135,0.999 +36970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.313519943,0.999 +36971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.249436613,0.999 +36973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.545441947,0.999 +36975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.73422394,0.999 +36972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.352198877,0.999 +36974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.735504576,0.999 +36976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.011217008,0.999 +36977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.038614363,0.999 +36978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.119028438,0.999 +36981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.385992557,0.999 +36982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.974694937,0.999 +36979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.940676452,0.999 +36980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.528596225,0.999 +36984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.638532045,0.999 +36985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.522265283,0.999 +36983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.420029928,0.999 +36986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.552877958,0.999 +36988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.590854294,0.999 +36989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,1.993110972,0.999 +36990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.446286444,0.999 +36987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.470964293,0.999 +36992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.263812306,0.999 +36993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,7.513550964,0.999 +36991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,4.143738019,0.999 +36994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,2.554630628,0.999 +36998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.711683396,0.999 +36997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,3.614589306,0.999 +36996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.567926789,0.999 +36995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,0.862806296,0.999 +36999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,5.247887667,0.999 +37000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,7,1,6.710330007,0.999 +46002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.609000273,1 +46003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.731100916,1 +46004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.870264384,1 +46005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.760917639,1 +46006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.494812954,1 +46007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.035143426,1 +46001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.744553149,1 +46008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.858171592,1 +46010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.530784758,1 +46011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.948982827,1 +46009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.867457125,1 +46014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.44662071,1 +46012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.713006982,1 +46013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.106358737,1 +46015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.827042467,1 +46017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.897884348,1 +46016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.980987112,1 +46018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.679234128,1 +46019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.991427263,1 +46021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.693236666,1 +46022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.345187463,1 +46020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,7.365913542,1 +46023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.328744267,1 +46024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.867278997,1 +46025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.025351817,1 +46027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.016644951,1 +46026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.501697141,1 +46029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.746508949,1 +46028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,10.23800304,1 +46031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,0.741008879,1 +46032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.66800273,1 +46033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.484471819,1 +46034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,7.788747102,1 +46030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.055123626,1 +46035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.362980576,1 +46036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.232819463,1 +46039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.494787048,1 +46040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.93550712,1 +46038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.809823304,1 +46037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.77096529,1 +46043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.662412596,1 +46042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.920285229,1 +46041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,7.454672539,1 +46044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.758650954,1 +46045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.03604753,1 +46046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.448165818,1 +46047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.851879315,1 +46050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.071275071,1 +46048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.685403348,1 +46051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.939175085,1 +46052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.951941206,1 +46053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.428727424,1 +46054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.596314009,1 +46049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.807824913,1 +46057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.356235901,1 +46058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.989109211,1 +46056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.463543464,1 +46055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.851888538,1 +46059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,7.296738959,1 +46060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.443799491,1 +46061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.179897454,1 +46062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.895920161,1 +46063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.708699378,1 +46064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.47182646,1 +46066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.77534447,1 +46068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.289756289,1 +46065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.922027903,1 +46069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.074390508,1 +46070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.335044823,1 +46067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.598626667,1 +46071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.948252302,1 +46072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.337081873,1 +46074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.392283042,1 +46073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.175447667,1 +46076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.647693689,1 +46077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.109871994,1 +46075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.998362155,1 +46078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.548102775,1 +46080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.859254303,1 +46079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.431611938,1 +46082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.386369938,1 +46081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.336078076,1 +46085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,9.512856766,1 +46084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.449242029,1 +46086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,9.143310667,1 +46087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.158118378,1 +46083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.892644133,1 +46088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.827818497,1 +46089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.069930993,1 +46090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.977049365,1 +46091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.295025921,1 +46092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.547031094,1 +46093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.580434763,1 +46094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.132540729,1 +46095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.244362251,1 +46096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,7.575685288,1 +46098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.183808957,1 +46097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.990502213,1 +46099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.555963653,1 +46100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.594128849,1 +46102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.594569618,1 +46101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.148297378,1 +46103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,11.07305573,1 +46104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.59428578,1 +46106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.853648253,1 +46105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.114850653,1 +46107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.235744436,1 +46108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.473734233,1 +46109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.416110897,1 +46110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.646956474,1 +46111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.876900903,1 +46112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.43027939,1 +46113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.564127393,1 +46114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.173253604,1 +46115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.036343604,1 +46116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.716020935,1 +46117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.302288555,1 +46118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.936243029,1 +46119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.504201994,1 +46120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.784457615,1 +46121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.940690685,1 +46122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.175821864,1 +46124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.823722147,1 +46125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.583267988,1 +46123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.445784886,1 +46126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.039751167,1 +46128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.773497519,1 +46129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.243062757,1 +46127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.492451191,1 +46130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.571203949,1 +46131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.815546741,1 +46132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.772297025,1 +46133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,9.486958653,1 +46134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,11.08877543,1 +46135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.715379034,1 +46136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.681116824,1 +46137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.046181375,1 +46139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.565674817,1 +46141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.642879133,1 +46140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.218657099,1 +46143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.737801532,1 +46142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.930171395,1 +46144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.852300139,1 +46138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.287543337,1 +46145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.040632522,1 +46146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.018219561,1 +46147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.926197463,1 +46148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.140114442,1 +46149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.595341765,1 +46151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.364454701,1 +46150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.750572065,1 +46152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.41339908,1 +46153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.233202724,1 +46154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.745274459,1 +46155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.950378636,1 +46156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.54470713,1 +46157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.655194448,1 +46159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.454450998,1 +46160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.995723585,1 +46161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,0.633562102,1 +46162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.620892341,1 +46163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.894110873,1 +46158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.274912117,1 +46164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.049052558,1 +46165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.006964858,1 +46166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.365602962,1 +46167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.01226313,1 +46168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.210276872,1 +46169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.521755892,1 +46170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,8.587000062,1 +46171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.705606007,1 +46172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.902180251,1 +46173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.829579388,1 +46174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.832228422,1 +46176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.633947645,1 +46175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.539152701,1 +46178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.642422649,1 +46177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.942245147,1 +46179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.111927178,1 +46182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.733988452,1 +46180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.878798301,1 +46181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.926086082,1 +46183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.551609321,1 +46184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.213631503,1 +46185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.362660368,1 +46186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.939736556,1 +46187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.992729741,1 +46188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.905262417,1 +46189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.018055144,1 +46190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.967218375,1 +46191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.073360405,1 +46192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.099856105,1 +46194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.816119945,1 +46195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.338741479,1 +46193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.884309347,1 +46196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,7.887313877,1 +46197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.717785315,1 +46199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.071811449,1 +46200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.684908933,1 +46198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.851734616,1 +46201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.791306468,1 +46203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.733081491,1 +46202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.701437828,1 +46204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.598314255,1 +46206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.098670399,1 +46205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.968953431,1 +46208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.267167197,1 +46207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.117023186,1 +46209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,10.95247342,1 +46210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.904776764,1 +46211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.811510829,1 +46212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.073964312,1 +46214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.216185063,1 +46215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.745148365,1 +46213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.102544429,1 +46216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.34871722,1 +46217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.89590143,1 +46219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.688216003,1 +46218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.840955924,1 +46221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.254891048,1 +46220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.63994822,1 +46222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.261084024,1 +46223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.334967043,1 +46225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.712774701,1 +46224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.57833656,1 +46227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.381029721,1 +46226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.038198706,1 +46229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.567710055,1 +46230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.969849569,1 +46231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.781667053,1 +46232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.758504282,1 +46233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.724984428,1 +46228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.664738207,1 +46234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.92107303,1 +46235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.437371549,1 +46236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.647673731,1 +46238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.329554406,1 +46239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.378657346,1 +46237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.755631532,1 +46240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.875926019,1 +46242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.316890226,1 +46243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.918226074,1 +46244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.158572145,1 +46241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.401580661,1 +46245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.113106158,1 +46247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.698861713,1 +46248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.158438152,1 +46246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.209308945,1 +46249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.375724272,1 +46251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.752646647,1 +46250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.720897896,1 +46253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.225845206,1 +46254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.576934345,1 +46255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.621092257,1 +46252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.350968088,1 +46256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.43193377,1 +46258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.854801081,1 +46259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,9.084171716,1 +46257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.603312264,1 +46261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.119221346,1 +46260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.438071633,1 +46263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.968493811,1 +46262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.593248405,1 +46264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.838181299,1 +46265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.530942033,1 +46266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,10.37202734,1 +46268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.052614056,1 +46269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.532820268,1 +46270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.879543217,1 +46267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.145469494,1 +46272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.394911322,1 +46271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.522951883,1 +46274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.967701658,1 +46273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.983137369,1 +46275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.114560586,1 +46276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.963432,1 +46277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.45234049,1 +46278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.100598021,1 +46279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.406803394,1 +46280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.647725369,1 +46281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.509763471,1 +46282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.705544135,1 +46283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.520541876,1 +46284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.317394387,1 +46286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.96195672,1 +46287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.896627831,1 +46288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.444227237,1 +46285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.783492314,1 +46290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.04981602,1 +46289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.345967151,1 +46293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.553626283,1 +46294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.051457839,1 +46291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.959581221,1 +46292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.867786963,1 +46296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.628390283,1 +46297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.299246787,1 +46295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.763693165,1 +46298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.427698049,1 +46300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.325775416,1 +46299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.612185378,1 +46302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.051030432,1 +46301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.676667989,1 +46303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.521925839,1 +46304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.615257744,1 +46307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.809094648,1 +46306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.939140497,1 +46305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.084787375,1 +46308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.482845052,1 +46309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.187791382,1 +46311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.971172548,1 +46310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.195633359,1 +46312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.93569254,1 +46313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.772294759,1 +46315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.077128239,1 +46314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.147054435,1 +46316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.386422729,1 +46318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.943179621,1 +46317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.698284881,1 +46320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.28624738,1 +46319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.619517616,1 +46322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.297095819,1 +46321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.066293141,1 +46323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.956898985,1 +46325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.878897115,1 +46324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.88231043,1 +46326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.796378999,1 +46327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.789619685,1 +46329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.521769568,1 +46328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.568786134,1 +46330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.818890926,1 +46331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.390679577,1 +46332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.492091465,1 +46333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.163228664,1 +46334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.539311544,1 +46336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.523835037,1 +46338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.325353262,1 +46337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.279319776,1 +46335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.545140928,1 +46339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.098179952,1 +46340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.438398841,1 +46341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.704195051,1 +46343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.709917216,1 +46342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.234078141,1 +46344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.042557575,1 +46345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.247478708,1 +46346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.60324363,1 +46348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.896967185,1 +46347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.293234019,1 +46349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.593209172,1 +46350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.218131392,1 +46352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.529326732,1 +46351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.517744715,1 +46353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.727352056,1 +46354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.51723008,1 +46356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.410582051,1 +46355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.603172741,1 +46358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.230823583,1 +46357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.31883647,1 +46359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.109637191,1 +46361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.398947478,1 +46360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.622385278,1 +46362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.33651758,1 +46363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,8.2662863,1 +46365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.364689243,1 +46364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,7.087005525,1 +46366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.000532776,1 +46367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.788351813,1 +46368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.647302732,1 +46369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.816211314,1 +46371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.62994889,1 +46370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.115420823,1 +46372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.327979288,1 +46373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.222792911,1 +46374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.260870962,1 +46375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.078779366,1 +46376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.213681252,1 +46377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.880656581,1 +46380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.012623439,1 +46378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.888694579,1 +46379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.837788857,1 +46381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.612610293,1 +46382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.445203385,1 +46383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.56875705,1 +46384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.971815365,1 +46385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.278298841,1 +46386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.333136797,1 +46387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.329739239,1 +46388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.436921456,1 +46389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.539451969,1 +46391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.965971154,1 +46392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.26778487,1 +46393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.540794517,1 +46390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.181902242,1 +46395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.842684581,1 +46394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.833748201,1 +46397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.18472426,1 +46396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.896244028,1 +46398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.222217969,1 +46399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,9.107323538,1 +46400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,7.076792296,1 +46401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.905500694,1 +46402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,7.963175103,1 +46403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.37019517,1 +46404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.649869805,1 +46405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,7.771969541,1 +46406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.110385874,1 +46407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.702865799,1 +46409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.983600869,1 +46410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.840920793,1 +46408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.220197167,1 +46411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.278983596,1 +46412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.055676766,1 +46413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.011556392,1 +46414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.365932032,1 +46416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.853407678,1 +46417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.750908767,1 +46418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.40325101,1 +46419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,9.64102676,1 +46420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.672645232,1 +46421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.85493668,1 +46422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.567584689,1 +46415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.857174896,1 +46423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.223687685,1 +46424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.258390144,1 +46425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.317429591,1 +46426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.414961857,1 +46427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.105734692,1 +46428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.054018303,1 +46430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.739465766,1 +46429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.577640033,1 +46431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.273469948,1 +46432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.194328247,1 +46434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.180941489,1 +46435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.860200527,1 +46436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.415729003,1 +46437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.716730964,1 +46438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.375428806,1 +46439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.835899596,1 +46440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.898521229,1 +46433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.340091518,1 +46444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.218509395,1 +46441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.534309283,1 +46442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.723003144,1 +46443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.009782156,1 +46445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.494894585,1 +46446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.558925185,1 +46447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.835899352,1 +46448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.494397246,1 +46449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.170422246,1 +46451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.863766959,1 +46452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.738076654,1 +46453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,7.642696034,1 +46454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.984153798,1 +46455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.591737011,1 +46450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.518700655,1 +46456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.609031287,1 +46458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.90019165,1 +46457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,7.985117796,1 +46459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.473615291,1 +46460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.892627502,1 +46461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.841364071,1 +46462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.045674811,1 +46463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.798254163,1 +46464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.413925541,1 +46465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,9.123612435,1 +46466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.408457135,1 +46467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.634034242,1 +46468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.565477408,1 +46469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.716696165,1 +46470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.068694875,1 +46472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.222764239,1 +46471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.142725994,1 +46473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,8.006174132,1 +46474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.896649736,1 +46475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,7.141414229,1 +46477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.164281477,1 +46476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.039232098,1 +46478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.896061891,1 +46479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.263679068,1 +46480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.81205402,1 +46481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.18471136,1 +46482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.834030312,1 +46483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.71798704,1 +46484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.341050368,1 +46486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.853600474,1 +46487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.435745737,1 +46485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.336940836,1 +46488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.764075031,1 +46489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.317074943,1 +46490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.568350554,1 +46491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.534731522,1 +46492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,7.212646935,1 +46493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,7.228193335,1 +46494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.629988438,1 +46495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.852639525,1 +46496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.871987859,1 +46497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.209730411,1 +46498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.369086263,1 +46499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.437470643,1 +46501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.950382027,1 +46500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.20336514,1 +46502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.29930705,1 +46503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.127002315,1 +46506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.381354458,1 +46505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.504739596,1 +46504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.315664455,1 +46507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.528735246,1 +46509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.284893429,1 +46508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.402301713,1 +46510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.357055709,1 +46511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.394286012,1 +46512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.307660068,1 +46513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.738097631,1 +46514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.912581478,1 +46516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.867912226,1 +46515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.033202534,1 +46517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.089097791,1 +46518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,0.682108532,1 +46519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,0.986009246,1 +46521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.374825852,1 +46522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.468772227,1 +46520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.692928172,1 +46523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.696258098,1 +46524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.820042046,1 +46525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.56246198,1 +46527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.869415814,1 +46528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.390249073,1 +46529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.142414264,1 +46530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.571898423,1 +46531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.039185326,1 +46526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.769652277,1 +46532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.30368884,1 +46535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.064448072,1 +46534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.475321088,1 +46533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.644927523,1 +46536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.060281436,1 +46537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,7.868943379,1 +46538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.625806886,1 +46539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.404196238,1 +46540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.649289104,1 +46542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.624959153,1 +46543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.640172137,1 +46544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.669619607,1 +46545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.348277921,1 +46546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.02203764,1 +46547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.859645567,1 +46541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.34891369,1 +46548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,8.071013454,1 +46549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.46961699,1 +46550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.897708466,1 +46551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.582681092,1 +46552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.408044789,1 +46553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.877164824,1 +46554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.530995505,1 +46555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,0.965666227,1 +46556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,8.028390583,1 +46557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.17511109,1 +46558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.394126243,1 +46560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.365449433,1 +46561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.385549882,1 +46562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.189798521,1 +46563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.575053817,1 +46559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.715452698,1 +46565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.042215004,1 +46564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.692259296,1 +46567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,7.071706707,1 +46566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.44590161,1 +46568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.387853305,1 +46569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.059521153,1 +46570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.67523188,1 +46571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,7.250543128,1 +46572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.261910573,1 +46575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.988240731,1 +46574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.835549197,1 +46573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.238528909,1 +46576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.301310075,1 +46577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.10641851,1 +46579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.752114766,1 +46582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.347307045,1 +46580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.102500497,1 +46581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.886019229,1 +46578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.94682595,1 +46583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.589778893,1 +46584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.103603279,1 +46585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.46800325,1 +46586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.121469086,1 +46587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.418659975,1 +46588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.684027638,1 +46589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.840538356,1 +46590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.7691109,1 +46591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.418869736,1 +46593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.566488952,1 +46592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.727041485,1 +46594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.557062824,1 +46595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.219973677,1 +46596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.301008336,1 +46597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.42554998,1 +46598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.282510664,1 +46600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.398186734,1 +46601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.473360863,1 +46602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.754309939,1 +46599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.442964006,1 +46603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.978190039,1 +46604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.785261301,1 +46605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.035480716,1 +46607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.644865491,1 +46606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,10.8784428,1 +46608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.74632095,1 +46610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.480016603,1 +46611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,0.386523432,1 +46612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.599409619,1 +46609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.460334977,1 +46613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.276896408,1 +46615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.945907997,1 +46616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.696439688,1 +46617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.883712456,1 +46614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.512049232,1 +46618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.958033558,1 +46620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.967792688,1 +46619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.977458196,1 +46622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.582405262,1 +46621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.527231714,1 +46623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.78838659,1 +46624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.388437514,1 +46626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.263384973,1 +46625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.156215972,1 +46627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.62046503,1 +46628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.69492331,1 +46629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.478343608,1 +46630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.311965926,1 +46632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.204664181,1 +46631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.402035497,1 +46634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.707417377,1 +46633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.436041093,1 +46635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.263464974,1 +46636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.929789706,1 +46637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,7.019316732,1 +46639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.310717932,1 +46640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.634923034,1 +46638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.256945295,1 +46641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.862845984,1 +46644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.289039962,1 +46642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.018783467,1 +46643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.434596284,1 +46645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.827497822,1 +46647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.761378472,1 +46646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.371426095,1 +46648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.352813736,1 +46649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.691196183,1 +46650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.799780389,1 +46652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.775112949,1 +46653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.163922936,1 +46651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.852187414,1 +46655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,7.529541279,1 +46654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.3417117,1 +46656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.169310187,1 +46657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.698745614,1 +46659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.966822225,1 +46658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.677795202,1 +46660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.186836726,1 +46661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.724084151,1 +46663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.204966807,1 +46662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.372455517,1 +46665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.475050316,1 +46664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.969313009,1 +46667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.649319871,1 +46668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.187090979,1 +46666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.951454159,1 +46669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.288555824,1 +46670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.036248222,1 +46671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.472821906,1 +46673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.267147249,1 +46674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.761111297,1 +46675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.748207184,1 +46672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.013810106,1 +46676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.209425001,1 +46677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.412213297,1 +46678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.383044497,1 +46681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.702191163,1 +46680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.226142971,1 +46682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.429815793,1 +46683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.58138247,1 +46684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.751029519,1 +46679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.43639326,1 +46686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.660889773,1 +46685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.172135163,1 +46688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.602234813,1 +46687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.489005,1 +46689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.999748466,1 +46690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.21255869,1 +46691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.190718638,1 +46692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.814706396,1 +46694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.760329956,1 +46693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.144513474,1 +46696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.757241252,1 +46697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.851228507,1 +46698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.45139081,1 +46699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.176693609,1 +46695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.570876846,1 +46701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.21401299,1 +46700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.104774218,1 +46702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,7.321026038,1 +46703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.93859393,1 +46704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.243560444,1 +46705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.223492706,1 +46706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.855139542,1 +46707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.291448448,1 +46708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.281759909,1 +46709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.792765332,1 +46710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.279081975,1 +46712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,0.981643027,1 +46713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.452231545,1 +46714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.174100643,1 +46715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.700624605,1 +46711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.871690024,1 +46716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.59922357,1 +46717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.429525091,1 +46718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.60286856,1 +46719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.033006109,1 +46720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.038843234,1 +46721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.364521062,1 +46722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.990064558,1 +46723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.708024161,1 +46724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.011976883,1 +46725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.92916809,1 +46726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.691259761,1 +46728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.294048378,1 +46727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.956477095,1 +46729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.888747443,1 +46730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.617587487,1 +46731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.719764226,1 +46734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.47635527,1 +46732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.510130371,1 +46733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.673963782,1 +46735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,8.190223082,1 +46736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.685008745,1 +46737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.184149282,1 +46738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.791354286,1 +46739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.761449388,1 +46740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.952125345,1 +46741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.926985236,1 +46743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.161803993,1 +46742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.76535358,1 +46744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.313843761,1 +46746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.2258583,1 +46747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.025487207,1 +46748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.175292586,1 +46745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.70628905,1 +46749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.503906552,1 +46750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.669735872,1 +46752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,7.35024496,1 +46751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.8691308,1 +46753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.319314842,1 +46755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.479182826,1 +46756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.642109542,1 +46754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.594210487,1 +46757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.683093359,1 +46758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.135498497,1 +46759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.884877677,1 +46761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.545074892,1 +46763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.638168171,1 +46760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.023727564,1 +46762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.104441152,1 +46764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.502240828,1 +46765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.031920509,1 +46766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.651283429,1 +46767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.389440295,1 +46768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.021035086,1 +46770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,7.946898767,1 +46771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.785293146,1 +46772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.920050892,1 +46769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.104814327,1 +46774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.080414734,1 +46775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.620430661,1 +46773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.946367182,1 +46776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.146320655,1 +46777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.340329462,1 +46780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.693202167,1 +46778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.152729856,1 +46779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.021271826,1 +46781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.522875351,1 +46782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.911993576,1 +46783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.594622316,1 +46785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.055584079,1 +46784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.704797783,1 +46786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.405248877,1 +46787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.414617957,1 +46788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.273462493,1 +46789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.304288123,1 +46791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.822928665,1 +46792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.973028904,1 +46790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.109042106,1 +46793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.934797306,1 +46796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.967956926,1 +46794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.716823263,1 +46797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.609673892,1 +46795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.810702117,1 +46799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.079852627,1 +46798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.361653899,1 +46801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.957384881,1 +46800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.134199785,1 +46802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.720806965,1 +46803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.542469406,1 +46804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.131046709,1 +46805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,7.02365494,1 +46806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.59218516,1 +46808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.84459107,1 +46810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.828825601,1 +46807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.268999014,1 +46811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.467076596,1 +46809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.066717176,1 +46812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.808696902,1 +46813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.705477659,1 +46814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.292158446,1 +46816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.55545997,1 +46815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.343724065,1 +46817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,10.26252563,1 +46818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.912370431,1 +46819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.360411182,1 +46820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.723146448,1 +46821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.718573783,1 +46822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.109245397,1 +46823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.534616118,1 +46824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.405449615,1 +46825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,7.301919434,1 +46826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.352956724,1 +46827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.683086007,1 +46829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.599883792,1 +46830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.336227374,1 +46831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,11.01418162,1 +46832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.132579333,1 +46833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.131351826,1 +46834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,8.057430673,1 +46828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.539503482,1 +46835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.600206174,1 +46836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.984158371,1 +46837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.873130923,1 +46838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.048682936,1 +46839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.345470274,1 +46841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.67289362,1 +46840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.245401596,1 +46842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.943390192,1 +46843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.430613681,1 +46845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.008252499,1 +46844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.616933214,1 +46846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.353111819,1 +46847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.642184265,1 +46848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.504514077,1 +46849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.448152722,1 +46851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,10.42581539,1 +46852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.732313795,1 +46853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.877717883,1 +46850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.775728253,1 +46854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.612991689,1 +46855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.07259602,1 +46856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.763515159,1 +46858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.001515356,1 +46857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.94442777,1 +46859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.407838284,1 +46860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.202010965,1 +46862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.624030286,1 +46861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.758983398,1 +46863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.432117183,1 +46864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.322015621,1 +46865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.483285394,1 +46866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,7.200209003,1 +46867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.076959931,1 +46868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.640376871,1 +46869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.370249822,1 +46871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.235620662,1 +46872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.230529452,1 +46870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.365934558,1 +46873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.094308953,1 +46874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.173551152,1 +46875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.216071606,1 +46878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.537814158,1 +46877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.463420428,1 +46876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.662597686,1 +46879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.326018526,1 +46880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.191299163,1 +46881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.112034519,1 +46882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.814668605,1 +46883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.897027207,1 +46885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.573872826,1 +46884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.864977407,1 +46886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.104403818,1 +46887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.487533186,1 +46889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.046282406,1 +46888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.489750576,1 +46891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.07867805,1 +46892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.795169357,1 +46890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.320849919,1 +46893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.282900813,1 +46894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.682322348,1 +46895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.627735181,1 +46897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.151708231,1 +46896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,7.323300435,1 +46898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.842016885,1 +46899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.434691562,1 +46900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.98349984,1 +46901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,10.28508285,1 +46902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.066059911,1 +46903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.959075035,1 +46906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.096357509,1 +46907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.549608571,1 +46905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.122801442,1 +46908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.670782556,1 +46909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.213926245,1 +46910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.842784236,1 +46904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.576854867,1 +46912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.611981079,1 +46911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.18727235,1 +46913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,7.500443103,1 +46914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.817444755,1 +46916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.519606303,1 +46915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.724155178,1 +46918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,7.549475116,1 +46919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.914993289,1 +46917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.610468347,1 +46920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.303411767,1 +46921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.088332645,1 +46924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.805823782,1 +46923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.916155291,1 +46922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.051936492,1 +46926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.844459742,1 +46927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.618188758,1 +46928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.137071599,1 +46925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,7.185038234,1 +46930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.61168394,1 +46929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,9.871579554,1 +46932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.772125634,1 +46931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.118566385,1 +46934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.108784132,1 +46936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.273563773,1 +46935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.442199325,1 +46933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.611198559,1 +46937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,7.665947083,1 +46938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.634155806,1 +46939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.414940611,1 +46940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.326368434,1 +46941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.444937824,1 +46942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.587291778,1 +46944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.23327913,1 +46945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.08373029,1 +46943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,7.480247062,1 +46947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.42604365,1 +46946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.47870894,1 +46949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.87239357,1 +46948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.252636125,1 +46950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.48049467,1 +46951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.947069346,1 +46952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.207195823,1 +46953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.032918464,1 +46954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.248778952,1 +46955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.742126629,1 +46956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.944026968,1 +46957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.681469269,1 +46960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.288068347,1 +46961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.271684871,1 +46958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.47290942,1 +46959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.401712905,1 +46962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.996690772,1 +46963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.040251145,1 +46964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,11.02135651,1 +46965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,7.588731755,1 +46966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.070940302,1 +46967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.14129641,1 +46969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.357562458,1 +46968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.795506463,1 +46970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.982898193,1 +46971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.61745904,1 +46972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,7.439201854,1 +46974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.464244567,1 +46973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.335813696,1 +46975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.300126581,1 +46978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.765680624,1 +46976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.716178386,1 +46977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.118079613,1 +46979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.476548911,1 +46980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.839915457,1 +46981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.780101503,1 +46982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.117722054,1 +46983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.122869744,1 +46985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.312413097,1 +46986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.63084234,1 +46987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.227794252,1 +46984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.15064564,1 +46988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.084962738,1 +46989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.739654533,1 +46990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.338946552,1 +46991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.458594473,1 +46993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,2.55625821,1 +46992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.194048017,1 +46994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.002372334,1 +46997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,4.064377346,1 +46996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,3.467926314,1 +46995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,7.253236769,1 +46998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,5.002536589,1 +46999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,6.603879361,1 +47000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,7,1,1.561360984,1 +56001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.524173891,1 +56003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.718191849,1 +56004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.965789888,1 +56005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.088859835,1 +56002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.855717415,1 +56006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.06844405,1 +56007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,7.051415267,1 +56009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.607455263,1 +56008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.681891708,1 +56010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.844125379,1 +56011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.772188426,1 +56012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.325148342,1 +56013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.908639982,1 +56014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.756867072,1 +56015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.866882586,1 +56016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.878849508,1 +56017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.94132641,1 +56018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.147707994,1 +56019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.176476061,1 +56021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.85908803,1 +56022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.992463422,1 +56020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.855597991,1 +56023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.330352622,1 +56024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.383185902,1 +56026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.616901199,1 +56025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.685818685,1 +56027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.306790871,1 +56028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.045887346,1 +56030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.758907763,1 +56029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.246040386,1 +56031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.770409518,1 +56032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.951894907,1 +56033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.290108523,1 +56034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.301111254,1 +56035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.146793318,1 +56036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.946372702,1 +56038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.298250938,1 +56037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.518292747,1 +56039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.088729997,1 +56040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.447808167,1 +56041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.453512793,1 +56042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.739314762,1 +56043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.419765597,1 +56044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.727886655,1 +56045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.304950774,1 +56046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.553826029,1 +56048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.386375143,1 +56047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.500817651,1 +56049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.292239182,1 +56050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.363222157,1 +56051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.168103811,1 +56052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,8.249275816,1 +56053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.058342461,1 +56055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.946399019,1 +56054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.590076944,1 +56056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.986050615,1 +56057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.426353513,1 +56058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.744543114,1 +56059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,0.973289186,1 +56061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.597410745,1 +56062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.870121318,1 +56063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.224074292,1 +56060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.231038272,1 +56064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.463687269,1 +56065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.594836016,1 +56066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.315474708,1 +56067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.509214201,1 +56068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.035728472,1 +56069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.010005404,1 +56070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.487026959,1 +56071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.718348012,1 +56073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.164363574,1 +56072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.176959184,1 +56074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.289363495,1 +56076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,9.702185208,1 +56077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.720258824,1 +56075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.824715069,1 +56078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.531665213,1 +56079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.765332304,1 +56080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.268017433,1 +56082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.88005972,1 +56081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.153958329,1 +56084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.79594292,1 +56085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.819698634,1 +56083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.05652595,1 +56086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.007065375,1 +56087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.112145497,1 +56089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.978346908,1 +56088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.837310775,1 +56090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.849323013,1 +56091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.602553814,1 +56092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.958449091,1 +56093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.656399257,1 +56096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.397232694,1 +56095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,7.686113351,1 +56097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.540236394,1 +56099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.908986107,1 +56094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.950492692,1 +56098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.360816927,1 +56100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.863221112,1 +56102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.255868701,1 +56101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.166431619,1 +56104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.375230567,1 +56103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.018550942,1 +56105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.879085383,1 +56106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.572289639,1 +56107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.287518843,1 +56108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.965964462,1 +56109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.11731466,1 +56110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.788812088,1 +56112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.206151171,1 +56111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.336650768,1 +56114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.468907228,1 +56115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.272868775,1 +56116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.614176476,1 +56113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.686238738,1 +56117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.706960601,1 +56118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.620522267,1 +56119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.447015539,1 +56120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.108991955,1 +56121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.553936668,1 +56122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.817175265,1 +56123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.787577697,1 +56125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.167907304,1 +56124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.606899265,1 +56126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.996727791,1 +56127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.758058745,1 +56128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.576563706,1 +56130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.316734038,1 +56129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.862678447,1 +56131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.447611167,1 +56132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.337072608,1 +56133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.329418288,1 +56135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.595803968,1 +56134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.85384745,1 +56136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.770084741,1 +56137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.558236667,1 +56138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.554893013,1 +56140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.786683912,1 +56139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.006493666,1 +56141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.112264988,1 +56143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.118839496,1 +56142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.354527241,1 +56144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.632574554,1 +56145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.112218413,1 +56146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.852959403,1 +56147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.459985685,1 +56150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.006059847,1 +56149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.94457096,1 +56151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.645794878,1 +56152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.852970319,1 +56153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.527415152,1 +56154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.294380109,1 +56148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.740765262,1 +56155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.735055353,1 +56157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.704460959,1 +56156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.846225703,1 +56159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,7.636238586,1 +56160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.616275633,1 +56158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.033440163,1 +56161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.226674735,1 +56162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.877999218,1 +56163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.657753603,1 +56164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.680938551,1 +56165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.326687319,1 +56166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.193522023,1 +56167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.45521552,1 +56169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.344196735,1 +56170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.62755242,1 +56171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.383641853,1 +56172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.440416061,1 +56173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.436934765,1 +56174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.014449828,1 +56168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.805717572,1 +56175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.131830417,1 +56176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,8.056815869,1 +56177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.716532991,1 +56178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.857380338,1 +56179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.415465068,1 +56180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.712761685,1 +56181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.235578278,1 +56182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.131721897,1 +56184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.032443591,1 +56183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.599929011,1 +56185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.020464767,1 +56186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.872726009,1 +56188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.244566266,1 +56187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.575692773,1 +56189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.746294604,1 +56191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.313563453,1 +56192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.751767788,1 +56190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.705344201,1 +56193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.818651423,1 +56194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.013722187,1 +56195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.061693666,1 +56197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.788635867,1 +56196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.632611405,1 +56198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.70453885,1 +56199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.025184198,1 +56200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.069286618,1 +56201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.822010949,1 +56203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.854612148,1 +56202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.135687329,1 +56204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.415924254,1 +56205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.735073489,1 +56206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.676772743,1 +56207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.805248131,1 +56208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.151351604,1 +56209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.960495333,1 +56210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.874304308,1 +56211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.972835278,1 +56212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.855030409,1 +56213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.140576881,1 +56215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.949834132,1 +56214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.060690524,1 +56216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.918742598,1 +56217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,7.010795744,1 +56219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.780398948,1 +56220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.169153159,1 +56218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.43257105,1 +56221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.896870039,1 +56222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.460890687,1 +56223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.446387334,1 +56225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.858415836,1 +56224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.889868294,1 +56226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.755686294,1 +56227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.954013507,1 +56228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.527386249,1 +56230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.02486978,1 +56231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.788011667,1 +56232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.828406613,1 +56229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.490432825,1 +56233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.64434362,1 +56234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.561939155,1 +56235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.143499283,1 +56236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.675623981,1 +56238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.680277614,1 +56237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.390987748,1 +56239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.359022967,1 +56240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.832132302,1 +56241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.980986755,1 +56242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.909333791,1 +56243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.824653913,1 +56245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.501426676,1 +56246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,7.863907877,1 +56247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.66175153,1 +56244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.618652036,1 +56248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.574330817,1 +56249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.060329489,1 +56250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.431470591,1 +56251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.838495728,1 +56254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.557357361,1 +56253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.502723455,1 +56252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.864705383,1 +56255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.148116591,1 +56256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,0.944278639,1 +56258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.936943046,1 +56257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.939879896,1 +56259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.211714845,1 +56260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.716655288,1 +56261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.6628015,1 +56262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.021934569,1 +56264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.447877631,1 +56265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.120704251,1 +56266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.975566058,1 +56263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.822321382,1 +56268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.967888389,1 +56267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.194274599,1 +56270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.746320815,1 +56269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.02565133,1 +56273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.693489011,1 +56271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.030198667,1 +56272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.174325709,1 +56274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.708968013,1 +56276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.33949139,1 +56275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.408169173,1 +56277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.605185337,1 +56278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.688680395,1 +56279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.725599842,1 +56280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.790007809,1 +56282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.891968723,1 +56283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.195608663,1 +56284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.387584721,1 +56281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.830665508,1 +56285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.469016421,1 +56286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.864378063,1 +56287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.380167884,1 +56288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.542865361,1 +56289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.172891071,1 +56290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.761182772,1 +56291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.177357209,1 +56293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.432616543,1 +56292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.471692332,1 +56294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.750664243,1 +56295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.481070979,1 +56296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.142560811,1 +56298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.871873487,1 +56297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.911026301,1 +56299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.226902671,1 +56300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,8.179929391,1 +56301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.842881384,1 +56302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.20587709,1 +56303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.591985831,1 +56304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.182154148,1 +56305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.415077237,1 +56306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.81673275,1 +56307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.434993654,1 +56308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.841816733,1 +56309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.608087645,1 +56310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.741912746,1 +56311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.518924037,1 +56312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.020376233,1 +56313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.412644005,1 +56316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.429932537,1 +56317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.270791166,1 +56315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.482217639,1 +56314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.574941457,1 +56319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.081906721,1 +56318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.753608373,1 +56320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.303017205,1 +56321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.042194277,1 +56322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.971626878,1 +56323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.128949422,1 +56324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.012315088,1 +56326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.396291061,1 +56327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.77295249,1 +56325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.381839292,1 +56328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.26095431,1 +56330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.157598879,1 +56332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.523316677,1 +56329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.275398087,1 +56331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.746631282,1 +56333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.582214924,1 +56335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,10.25928183,1 +56334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.219679434,1 +56337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.64683967,1 +56338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.563782584,1 +56339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.072893363,1 +56336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.416494513,1 +56340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.511023044,1 +56341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.024541594,1 +56342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.961590221,1 +56344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.65896779,1 +56343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,8.182804559,1 +56346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.158205292,1 +56345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.669199989,1 +56347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.954407597,1 +56350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.086925459,1 +56349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.977047757,1 +56348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.971095025,1 +56352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.134783938,1 +56351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.543190785,1 +56353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.324450742,1 +56355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.706976864,1 +56356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.731967432,1 +56357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.509606823,1 +56354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.260079655,1 +56358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.423855068,1 +56360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.246980165,1 +56359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.919037307,1 +56361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.270796974,1 +56362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.214554575,1 +56363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,8.097532879,1 +56364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.613821017,1 +56365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.270914484,1 +56366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.665058607,1 +56368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.781601773,1 +56367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.23794317,1 +56369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.576924164,1 +56370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.862444524,1 +56371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.721002871,1 +56372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.07000219,1 +56374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.852069517,1 +56376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.433396033,1 +56375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.973626552,1 +56373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.534966448,1 +56377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.425987588,1 +56378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.617588904,1 +56379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.088157222,1 +56380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.858963112,1 +56381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.274244763,1 +56382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.315257762,1 +56383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.169257966,1 +56385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.284428868,1 +56386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.237470359,1 +56387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.307733034,1 +56384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.859018851,1 +56388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.044273195,1 +56389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.697791135,1 +56390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.005480025,1 +56392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.74768315,1 +56393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.79047727,1 +56394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.607497175,1 +56395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.080930913,1 +56391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.761676625,1 +56396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.340173664,1 +56397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.319658175,1 +56398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.662559596,1 +56400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.987158432,1 +56401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.663504945,1 +56402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.857472389,1 +56404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,7.598260042,1 +56403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.657891785,1 +56399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.776451442,1 +56408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.003248097,1 +56405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.271867471,1 +56406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.013988131,1 +56407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.369919968,1 +56409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.459097098,1 +56410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.210716452,1 +56411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.599945228,1 +56412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.130230445,1 +56415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.176426236,1 +56414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.032253369,1 +56416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,8.067953571,1 +56417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.750475459,1 +56418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.399596493,1 +56413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.703151086,1 +56419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.557109549,1 +56421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.221402662,1 +56420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.934499881,1 +56423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.186363676,1 +56422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.62590203,1 +56424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.652662428,1 +56426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.457612226,1 +56425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.575716363,1 +56427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.721213762,1 +56428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.728171525,1 +56429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.577252478,1 +56430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.076634382,1 +56432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.47833255,1 +56433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.475512808,1 +56434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.70992308,1 +56435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.517536344,1 +56431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.994907016,1 +56436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.722901653,1 +56437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.871914882,1 +56438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.339654612,1 +56439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.598768975,1 +56440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.003278334,1 +56441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.038478643,1 +56442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.027533019,1 +56443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.183326941,1 +56444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.816785315,1 +56445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.251709289,1 +56446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.150644738,1 +56447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.827816898,1 +56448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.147715751,1 +56449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.88024723,1 +56450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.860275911,1 +56452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,9.123059427,1 +56451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.908523486,1 +56454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.359850212,1 +56453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.985224278,1 +56455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.819258612,1 +56458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.084768852,1 +56456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.538560511,1 +56457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.389189299,1 +56459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.111170651,1 +56460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.878624292,1 +56461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.757099607,1 +56462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.999528202,1 +56463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.626659799,1 +56464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.912918304,1 +56465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.401433634,1 +56466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.083057004,1 +56468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.22325931,1 +56469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,0.63940102,1 +56467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.92343665,1 +56470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.377662351,1 +56471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.987096156,1 +56473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.183025484,1 +56472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.525100785,1 +56474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.059874714,1 +56475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.084266443,1 +56476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.464704067,1 +56478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.971108994,1 +56477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.253072429,1 +56479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.485141076,1 +56480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.364074555,1 +56481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.361577066,1 +56483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.803989786,1 +56482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.700524628,1 +56485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.181132178,1 +56486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.58874275,1 +56488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.150127997,1 +56489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.134788623,1 +56484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.111142181,1 +56490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,7.356911935,1 +56491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.275999663,1 +56492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.397310688,1 +56487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.148082913,1 +56493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.977179691,1 +56495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.982261479,1 +56496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.316513514,1 +56498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.717906359,1 +56494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.52636497,1 +56497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.273485043,1 +56499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.274414921,1 +56501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.396376138,1 +56502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.447248068,1 +56500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.319257501,1 +56504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.631964305,1 +56505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.75894855,1 +56506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.101301338,1 +56507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.71538389,1 +56508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.252499982,1 +56503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.1421358,1 +56509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.21404373,1 +56510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.250860906,1 +56513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.706740019,1 +56512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.684266071,1 +56511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.267518073,1 +56514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.847055913,1 +56516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.380445111,1 +56517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.119865886,1 +56515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.34368675,1 +56518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.654245844,1 +56519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.489206759,1 +56520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.115050401,1 +56522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.006283292,1 +56521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.917814713,1 +56524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.240884159,1 +56525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.585292377,1 +56526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.089063466,1 +56523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.666057842,1 +56529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.840692887,1 +56527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.320963945,1 +56530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.504707251,1 +56528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.095097733,1 +56532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.796603449,1 +56533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.226032165,1 +56534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.462865071,1 +56531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.174302587,1 +56535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.604711756,1 +56537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.134113624,1 +56536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.727371827,1 +56539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.605380275,1 +56540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.210827996,1 +56538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.874849659,1 +56544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.898678211,1 +56542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.35401844,1 +56541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.377867169,1 +56543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.321423435,1 +56545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,8.599810152,1 +56546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.223951547,1 +56548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.046876004,1 +56547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.925806572,1 +56549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.174609164,1 +56550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.211093012,1 +56551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.480520032,1 +56552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.950144792,1 +56554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.543079692,1 +56555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.4655518,1 +56553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.184179069,1 +56556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.886297274,1 +56559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.092451763,1 +56557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.289884216,1 +56558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.858258622,1 +56561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.012662927,1 +56560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.279013031,1 +56562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.862482105,1 +56563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.770139781,1 +56564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.298135136,1 +56565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.267431728,1 +56566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.590714789,1 +56567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.835263433,1 +56569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.605910415,1 +56570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.568040321,1 +56571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.094003705,1 +56568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.801541826,1 +56572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.617583948,1 +56573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.97419291,1 +56574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.505446391,1 +56575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.839804241,1 +56577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.656958372,1 +56576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.875893236,1 +56579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.918729328,1 +56578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.146566945,1 +56580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.700812886,1 +56581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.605793104,1 +56582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.554307039,1 +56583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.533961007,1 +56584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.905853492,1 +56587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.77875731,1 +56586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.4690518,1 +56585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.293886592,1 +56589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.615718709,1 +56588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.602500487,1 +56591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.544379194,1 +56590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.553227712,1 +56592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.624774528,1 +56593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.97420077,1 +56594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.353307734,1 +56595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.527523804,1 +56596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.82215527,1 +56597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.999330869,1 +56598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.032188146,1 +56599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.000800932,1 +56600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.841445505,1 +56601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.364717055,1 +56602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.025264748,1 +56603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.784279258,1 +56605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.158480577,1 +56604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.452583011,1 +56606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.0972817,1 +56608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.963747886,1 +56609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.601127523,1 +56610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,8.333101614,1 +56611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.511843342,1 +56612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.746395253,1 +56607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.155480985,1 +56613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.549820498,1 +56614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.930532446,1 +56615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.42577036,1 +56617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.11298975,1 +56616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.395155155,1 +56619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.648926917,1 +56618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.38731718,1 +56621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.029555536,1 +56620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.54015468,1 +56623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.695194338,1 +56622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.381427493,1 +56625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.560505783,1 +56624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.92524123,1 +56626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.810764197,1 +56627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.520028844,1 +56628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.057541582,1 +56630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,9.76638633,1 +56631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.861495363,1 +56629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.014752945,1 +56634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.107759388,1 +56632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.373871845,1 +56635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.748904639,1 +56633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.487220053,1 +56637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.647003849,1 +56638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.078409078,1 +56639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.969847143,1 +56636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.740261433,1 +56640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.452958537,1 +56641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.225962841,1 +56642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.718583791,1 +56643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.445033499,1 +56644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.304864496,1 +56645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.799153073,1 +56647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.590675019,1 +56648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.609662871,1 +56646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.474544689,1 +56649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.129246908,1 +56650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.313213165,1 +56651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.355789903,1 +56653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.630991727,1 +56652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.603712388,1 +56654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.015455387,1 +56656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.974906546,1 +56655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.878006928,1 +56657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.851495641,1 +56658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.339721759,1 +56659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,8.020481625,1 +56660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.209282716,1 +56662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.931253313,1 +56661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.572968003,1 +56665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.325176175,1 +56663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.763496324,1 +56666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.65077692,1 +56664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.792217429,1 +56667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.143398536,1 +56670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.878937584,1 +56669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.570556091,1 +56668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,7.134948592,1 +56671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.221897152,1 +56672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.132490836,1 +56674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.073125982,1 +56673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.077697922,1 +56675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.436140918,1 +56676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.562598864,1 +56677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.257631766,1 +56678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.012787022,1 +56679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.171448875,1 +56682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.971245013,1 +56680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.660106621,1 +56681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.502912008,1 +56683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.549426983,1 +56684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.028780444,1 +56685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.447814294,1 +56686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.069544904,1 +56687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.621952971,1 +56688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.065122061,1 +56689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.4568084,1 +56690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.52991854,1 +56691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.123770506,1 +56693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.186413412,1 +56694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.530566529,1 +56692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.439388951,1 +56696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,0.717371836,1 +56697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.010158729,1 +56698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.924039683,1 +56695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.573679712,1 +56700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.151151899,1 +56699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.826463954,1 +56701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.431775008,1 +56702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.864725349,1 +56703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.571700154,1 +56704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.744207498,1 +56705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.457392677,1 +56708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.846676422,1 +56707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.217019149,1 +56706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.155639191,1 +56709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.255274516,1 +56711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.103219986,1 +56712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.800031042,1 +56710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.857078338,1 +56713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,0.678533163,1 +56715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.753425155,1 +56716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.430217208,1 +56714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.931089667,1 +56717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.284050543,1 +56718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.849182267,1 +56719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.919826075,1 +56720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.069573737,1 +56721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.266321373,1 +56723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.877756397,1 +56724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.775401034,1 +56722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.756774799,1 +56725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.49620095,1 +56726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.61496134,1 +56727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.311753192,1 +56728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.69345156,1 +56729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.190494823,1 +56730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.245584483,1 +56731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.867170947,1 +56733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.608083942,1 +56734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.829383564,1 +56735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.869747349,1 +56737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.530668519,1 +56736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.999353538,1 +56732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.461498476,1 +56738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.540133532,1 +56740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.665428539,1 +56739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.970377292,1 +56742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,0.505900429,1 +56741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.66632184,1 +56743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.346619824,1 +56744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.449608278,1 +56746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.010408121,1 +56745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.393634114,1 +56747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.597411378,1 +56748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.613289678,1 +56750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.174810747,1 +56749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.527156083,1 +56752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.628331075,1 +56751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,8.738786816,1 +56753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,7.417936507,1 +56755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,10.1922239,1 +56756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.196787184,1 +56757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.44555567,1 +56754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.474288041,1 +56759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.46240439,1 +56758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.578765392,1 +56760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.729627143,1 +56761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.751167568,1 +56762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,0.670482768,1 +56763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.876638566,1 +56764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.430318563,1 +56765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.923698185,1 +56766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.681991788,1 +56767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.879972707,1 +56768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,8.013557855,1 +56770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.726111634,1 +56771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.39817483,1 +56772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.883642341,1 +56769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.769773894,1 +56773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.368278374,1 +56775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.392261968,1 +56774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.933012394,1 +56777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.671694273,1 +56776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.760907099,1 +56778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.247610372,1 +56779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.652420719,1 +56780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.050241802,1 +56781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,7.138358588,1 +56782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.913033239,1 +56783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.132497687,1 +56784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.513332891,1 +56785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.042588532,1 +56787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.895356179,1 +56786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.609010156,1 +56788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.794751816,1 +56791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.609283414,1 +56790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.090740896,1 +56789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.646826112,1 +56792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.895541907,1 +56793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.805422599,1 +56795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.724556346,1 +56794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.050479458,1 +56796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.918453256,1 +56797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.555672661,1 +56799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.613012597,1 +56800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,8.015428957,1 +56798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.205375895,1 +56801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.890744744,1 +56802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.598295328,1 +56803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.830683853,1 +56804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.780260207,1 +56806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.098796921,1 +56808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.703982889,1 +56807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.22787342,1 +56805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.154727713,1 +56809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.356324591,1 +56811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.951247767,1 +56810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.667376597,1 +56812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.103602838,1 +56813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.683795629,1 +56815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.683089862,1 +56816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.473158325,1 +56817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.610836024,1 +56814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.663255056,1 +56818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.958548836,1 +56819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.630043466,1 +56821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.96327184,1 +56820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.866208013,1 +56822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.315852963,1 +56825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.930080036,1 +56826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.077148923,1 +56823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.076111,1 +56824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.34175286,1 +56827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.530033171,1 +56828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.301092168,1 +56829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.759259591,1 +56831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.311380571,1 +56830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.611281541,1 +56832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.229734801,1 +56833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.834779024,1 +56835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.061488335,1 +56837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.431787643,1 +56834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.084134589,1 +56836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.178292876,1 +56838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.312680998,1 +56840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.811799565,1 +56841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.704504248,1 +56839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.544496983,1 +56843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.514050696,1 +56844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.89940435,1 +56845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.428043343,1 +56846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.606907578,1 +56842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.367967327,1 +56847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.460425639,1 +56848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.517393089,1 +56849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.725429536,1 +56850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.785713486,1 +56852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.905470666,1 +56851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.100935057,1 +56853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.838194948,1 +56854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.115048848,1 +56856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.930987866,1 +56857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.599987109,1 +56855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.897279357,1 +56858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.357793727,1 +56859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.20108798,1 +56860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.765629267,1 +56861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.54442362,1 +56863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.928640443,1 +56864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.677080649,1 +56865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.396306727,1 +56862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.130470517,1 +56868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.776005175,1 +56866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.302547111,1 +56867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.139516635,1 +56869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.523723808,1 +56870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.487722692,1 +56871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.299336496,1 +56873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,9.434238968,1 +56872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.724809137,1 +56875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.852277776,1 +56876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.773103888,1 +56877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.043432867,1 +56878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.04515939,1 +56880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.084124712,1 +56874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.775449468,1 +56881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.180761553,1 +56879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.213907376,1 +56883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.550129843,1 +56882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.866548528,1 +56884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.568586019,1 +56886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.249315259,1 +56887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.27386539,1 +56885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.131338259,1 +56888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.218231024,1 +56889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.545902853,1 +56890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.893887704,1 +56891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.394120122,1 +56893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.208392729,1 +56892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.487091098,1 +56894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.803384473,1 +56895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.460315298,1 +56897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.244787372,1 +56896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.959523467,1 +56898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.394662857,1 +56901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.585714691,1 +56900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.018320198,1 +56902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.038739776,1 +56899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.480876548,1 +56903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.1955593,1 +56904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.43274804,1 +56905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.007143697,1 +56906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.598483382,1 +56907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.708954216,1 +56908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.027356291,1 +56910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.384057266,1 +56911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.016643937,1 +56912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.103601978,1 +56909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.361463734,1 +56913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,8.397255815,1 +56914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.113697539,1 +56915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.38716882,1 +56916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,7.146762134,1 +56917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,8.004584011,1 +56918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.026452448,1 +56919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.743326784,1 +56920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.230333583,1 +56922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.156661164,1 +56921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.664388571,1 +56923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.777021922,1 +56924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.384613731,1 +56925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.024967462,1 +56927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,8.98596978,1 +56926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.730708531,1 +56928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.357651496,1 +56929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.383358554,1 +56930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.815557589,1 +56932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.746275473,1 +56933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.72367916,1 +56934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.771388699,1 +56935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.594733774,1 +56936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.207758546,1 +56931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.055283529,1 +56937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.288255288,1 +56939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.619933811,1 +56938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.341825875,1 +56941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.498687956,1 +56940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.584077059,1 +56942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.248843432,1 +56944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.957335726,1 +56943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.66981826,1 +56945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.307048151,1 +56946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.360633803,1 +56947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.233304626,1 +56948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.226477377,1 +56949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.660120251,1 +56950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.616149835,1 +56951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.980401558,1 +56952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,7.944895057,1 +56954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.001762679,1 +56955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.540502769,1 +56956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.6234282,1 +56953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.822828232,1 +56957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.552245212,1 +56958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.008782673,1 +56959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.052664018,1 +56960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.56963371,1 +56961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.08204601,1 +56962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.829902746,1 +56963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.919249781,1 +56965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.989182605,1 +56964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.417834778,1 +56966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.481858899,1 +56967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.125787834,1 +56969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.454893124,1 +56968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.231257197,1 +56970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.645665489,1 +56971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.046751887,1 +56973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.646508885,1 +56974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.874609123,1 +56972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.735027023,1 +56975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.477230694,1 +56976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.45609283,1 +56977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.875537488,1 +56978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.834911255,1 +56980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.452935316,1 +56979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.375258761,1 +56981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.254847793,1 +56982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,1.845474303,1 +56983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.156778339,1 +56984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.035279282,1 +56985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.44168126,1 +56987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.403989104,1 +56988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.588541175,1 +56986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.618489749,1 +56989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.828993192,1 +56991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.200789027,1 +56990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,5.455539079,1 +56992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.851277398,1 +56994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.49916728,1 +56995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.868714058,1 +56993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.237988468,1 +56996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.602408705,1 +56998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,6.431492206,1 +56997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,4.803059685,1 +56999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,3.552425809,1 +57000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,7,1,2.794745833,1 +66001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.559302135,1 +66002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.868691184,1 +66003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.580713261,1 +66004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.354234376,1 +66005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.370976885,1 +66007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.084255264,1 +66009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.198487881,1 +66006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.359034692,1 +66008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.981704275,1 +66010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.840639362,1 +66011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.27940515,1 +66013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.948867765,1 +66012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.213865259,1 +66014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.780793391,1 +66015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.590276596,1 +66016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.888113699,1 +66017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.283255256,1 +66018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.833791888,1 +66019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.29434426,1 +66020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.052141654,1 +66022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.225222569,1 +66021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.76983722,1 +66023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.065874532,1 +66024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.907549162,1 +66025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.783986135,1 +66026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.099940636,1 +66027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.371588722,1 +66028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.375669935,1 +66029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.543435804,1 +66030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.892323431,1 +66031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.178088179,1 +66032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.958654792,1 +66033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.991004539,1 +66034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.003244763,1 +66035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,7.079666368,1 +66036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.3745098,1 +66037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.649192348,1 +66038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.582157989,1 +66039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.269733801,1 +66041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.425244854,1 +66040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.535286736,1 +66042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.788865705,1 +66043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.310843948,1 +66044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.695088013,1 +66045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.889958474,1 +66046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.411161575,1 +66047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.533575837,1 +66048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.478339712,1 +66049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.76054771,1 +66051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.076778214,1 +66053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.86672531,1 +66052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.630586285,1 +66050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.194923453,1 +66054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.611531166,1 +66055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.524528815,1 +66056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.446557602,1 +66057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,8.20401935,1 +66058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.039858713,1 +66059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.960256668,1 +66060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.310564999,1 +66061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.547008987,1 +66062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.498228391,1 +66063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.232932551,1 +66064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.603514403,1 +66067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.416667015,1 +66066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.097305834,1 +66065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.661472425,1 +66068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.091947132,1 +66069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.104434403,1 +66070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.316615074,1 +66072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.778183681,1 +66074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.953554134,1 +66073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.402841004,1 +66075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.662255071,1 +66076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.452968485,1 +66071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.824043543,1 +66077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.678946106,1 +66078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.304517816,1 +66079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.51000594,1 +66081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.463767893,1 +66082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.484550387,1 +66080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.520248736,1 +66085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.933269289,1 +66084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.042661369,1 +66083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.345683045,1 +66086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.533367362,1 +66087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.279501783,1 +66088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.126994687,1 +66089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.165266358,1 +66090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.377179408,1 +66091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.404194754,1 +66092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.197556155,1 +66093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.67730146,1 +66095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.756737283,1 +66096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.49581017,1 +66097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.922584845,1 +66099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.837305968,1 +66094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.155183016,1 +66100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.152807893,1 +66098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.535750941,1 +66101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.591190771,1 +66102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.186935953,1 +66104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.308984024,1 +66103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.141348758,1 +66105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.047591037,1 +66106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.832679812,1 +66107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.497731234,1 +66108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.680779341,1 +66110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.130640395,1 +66112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.228292668,1 +66109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.477823256,1 +66111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.65876703,1 +66113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.376260571,1 +66116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.933565381,1 +66114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.524950586,1 +66115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.445007488,1 +66117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.494379274,1 +66118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.553413761,1 +66119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,9.241113706,1 +66121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.439591403,1 +66120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.531970321,1 +66122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.783401332,1 +66123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.361786077,1 +66126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.952252311,1 +66124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.072237017,1 +66127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.719339993,1 +66125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.479032266,1 +66129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.129044742,1 +66128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.513750785,1 +66131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.562433458,1 +66130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.1453101,1 +66132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.488880334,1 +66133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.715192195,1 +66135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.467644666,1 +66134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.552095093,1 +66136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.097005824,1 +66137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.983390392,1 +66138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.784856868,1 +66140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.635145065,1 +66139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.137724945,1 +66141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.525940561,1 +66142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.285577174,1 +66143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.582076867,1 +66144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.896096759,1 +66145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.066144004,1 +66147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.104621531,1 +66146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.5089802,1 +66149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.052977172,1 +66150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.732875829,1 +66151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.546162293,1 +66148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.956853496,1 +66153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.646839414,1 +66152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.32131764,1 +66154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.550834821,1 +66156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.747424151,1 +66157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.281928124,1 +66158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.311981386,1 +66155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.230159731,1 +66159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.741872675,1 +66160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.863886549,1 +66161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.343841634,1 +66162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.219975334,1 +66163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.030481758,1 +66165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.413269272,1 +66167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.933759094,1 +66164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.813075917,1 +66168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.95774068,1 +66169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.684824971,1 +66170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.828712622,1 +66166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.683356993,1 +66171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.556358259,1 +66172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.757796802,1 +66173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.405678252,1 +66174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.108350413,1 +66177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.433460095,1 +66175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.521498959,1 +66178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.781681763,1 +66176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.427270581,1 +66180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.757449659,1 +66182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.451115226,1 +66181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.924759622,1 +66183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.51863514,1 +66179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.335630116,1 +66184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.236406021,1 +66186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.42699369,1 +66187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.126496092,1 +66188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.987350099,1 +66185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.838283025,1 +66190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.657436001,1 +66192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.452943137,1 +66189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.368854595,1 +66193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.529534677,1 +66191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.372651273,1 +66194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.161870223,1 +66195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.614900708,1 +66197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.800268991,1 +66198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.768707547,1 +66199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.899805444,1 +66200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.050484022,1 +66196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.574256271,1 +66202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.292231338,1 +66203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.12012386,1 +66204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.508639675,1 +66207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.701255099,1 +66201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,7.88560214,1 +66206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.427046568,1 +66208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.614191047,1 +66205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.778216577,1 +66210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.055345069,1 +66212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.888746818,1 +66209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.271049513,1 +66213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.157053915,1 +66211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.600374146,1 +66214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.63258863,1 +66215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.890120172,1 +66216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.213647974,1 +66218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.053405356,1 +66217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.532715123,1 +66219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.543326594,1 +66220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.104268484,1 +66222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.916515675,1 +66221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.084078129,1 +66223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.834492292,1 +66224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.879760948,1 +66225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.433758428,1 +66226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.405270407,1 +66228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,7.87301147,1 +66227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,7.15098241,1 +66230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.935787078,1 +66231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.645164598,1 +66229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.779223235,1 +66232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.653376411,1 +66233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.886766211,1 +66235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.593600733,1 +66237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.093655074,1 +66234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.262778598,1 +66236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.986747397,1 +66238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.290354407,1 +66239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.024579562,1 +66240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.15076491,1 +66241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.109113535,1 +66242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.269849223,1 +66244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.132781413,1 +66243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.789462613,1 +66245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.862910398,1 +66247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.565012957,1 +66248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.145481252,1 +66249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.463156083,1 +66250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.729003798,1 +66246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.515504492,1 +66251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.661670638,1 +66253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.61283691,1 +66254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.37722824,1 +66255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.107478944,1 +66256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.633008961,1 +66257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,8.005954208,1 +66252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.224691107,1 +66258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.511304954,1 +66259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.244930794,1 +66260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.936953498,1 +66262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.600376274,1 +66263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.038130328,1 +66261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.41465353,1 +66264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.691529986,1 +66265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,9.308228825,1 +66267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.155108631,1 +66266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.65153913,1 +66269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.66863095,1 +66268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.257056333,1 +66270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.628123523,1 +66271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.283799827,1 +66272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.913474861,1 +66273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.452390665,1 +66275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.074000508,1 +66276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.606303185,1 +66277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.636089548,1 +66278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.097337976,1 +66280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.361339344,1 +66274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.855968337,1 +66279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.245072706,1 +66283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.87762698,1 +66281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.136643414,1 +66284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.772828218,1 +66282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.934724914,1 +66285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.376874024,1 +66286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.576921125,1 +66287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.697136717,1 +66288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.366655654,1 +66289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.930068275,1 +66291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.919095855,1 +66290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.896160681,1 +66292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.406852067,1 +66295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.835833123,1 +66296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.956952927,1 +66294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.392216624,1 +66293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,7.029721189,1 +66298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.18758028,1 +66297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.29821305,1 +66299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.241848205,1 +66300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.888878723,1 +66301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.028160191,1 +66302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.903068621,1 +66303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.645611922,1 +66304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.401304781,1 +66305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.261404825,1 +66306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.724917999,1 +66307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.863110712,1 +66310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.416114633,1 +66309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,9.118031857,1 +66308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.929139877,1 +66311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.524552981,1 +66312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.349820846,1 +66313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.21047159,1 +66315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.769121867,1 +66314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.39409728,1 +66316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.669289847,1 +66317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.103727825,1 +66318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.564279946,1 +66319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.745485264,1 +66320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.381763621,1 +66321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.642565548,1 +66322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.382092795,1 +66323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.81056991,1 +66324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.145982667,1 +66325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.59763731,1 +66326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.468562597,1 +66329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.630702036,1 +66328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.201933589,1 +66327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.323457572,1 +66332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.644449435,1 +66331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.735990129,1 +66330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.31197558,1 +66333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.036547394,1 +66335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.400747304,1 +66334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.895372683,1 +66336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.124305566,1 +66337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.809422436,1 +66338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.19441375,1 +66339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.65848476,1 +66340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.190890177,1 +66341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.160841541,1 +66342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.312917043,1 +66343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.088934312,1 +66344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.3851092,1 +66345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.31788205,1 +66346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.021444283,1 +66348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.495255709,1 +66347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.215661243,1 +66350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.868417186,1 +66349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.976515093,1 +66352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.446361517,1 +66351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.321522625,1 +66353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.295261685,1 +66354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.695770066,1 +66356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.56097933,1 +66355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.50715597,1 +66357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.785039253,1 +66359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.046100103,1 +66360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.908033693,1 +66358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.243581967,1 +66361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.197057469,1 +66362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.279423134,1 +66366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.240196773,1 +66365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.692020366,1 +66364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.75155455,1 +66367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.370056474,1 +66363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.924211165,1 +66368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.621815097,1 +66369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.69241996,1 +66370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.105629854,1 +66371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.53365944,1 +66373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.971205855,1 +66372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.352904579,1 +66375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.26917189,1 +66374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.996032201,1 +66377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.041214832,1 +66378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.737614909,1 +66379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.256527048,1 +66376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.858732113,1 +66380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.889519937,1 +66382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.297773522,1 +66384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.031747405,1 +66381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.993010054,1 +66383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.241425785,1 +66385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.043780939,1 +66386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.534126967,1 +66387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.295040066,1 +66391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.778581157,1 +66388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.293645289,1 +66389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.778628381,1 +66390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.805544058,1 +66392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.580034594,1 +66394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.548474929,1 +66393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.145428628,1 +66395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.276099717,1 +66397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.57013349,1 +66399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.70574027,1 +66396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.833800501,1 +66400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.646423873,1 +66401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.127708413,1 +66402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.822543443,1 +66398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.564588897,1 +66405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.211535088,1 +66404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.113558767,1 +66406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.603590083,1 +66403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.505192924,1 +66407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.636264238,1 +66409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.733371692,1 +66408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.72055745,1 +66410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.296820857,1 +66412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.768759192,1 +66413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.040400044,1 +66414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.981562754,1 +66411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.384248261,1 +66415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.967826463,1 +66417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.92642945,1 +66418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.76602437,1 +66416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.667535042,1 +66421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.347650263,1 +66420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.934592751,1 +66419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.598622307,1 +66422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.126457602,1 +66423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.218528733,1 +66424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.910753657,1 +66425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.842025507,1 +66426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.342436027,1 +66428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.634916003,1 +66429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.790183511,1 +66430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.362575206,1 +66427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.651843826,1 +66432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.168095313,1 +66431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.27123296,1 +66434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.597295375,1 +66433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.533893689,1 +66437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.859051489,1 +66435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.524009044,1 +66436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.596372875,1 +66438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,8.000728296,1 +66439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.402625523,1 +66440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.201636925,1 +66441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.863984053,1 +66442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.788646202,1 +66444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.015964949,1 +66445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.063233823,1 +66443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.423789729,1 +66448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.287523108,1 +66447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.80167787,1 +66446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.214475804,1 +66449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.340438392,1 +66451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.115130282,1 +66452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.885431568,1 +66450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.57225994,1 +66453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.137449033,1 +66454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.146893844,1 +66456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.129356996,1 +66455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.308899264,1 +66457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.794003205,1 +66458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.626872588,1 +66459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.792591795,1 +66461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.839986571,1 +66460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.535454523,1 +66462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.613383566,1 +66463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.642404749,1 +66466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.417634908,1 +66464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.562202282,1 +66467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.52486566,1 +66465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.775457833,1 +66468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.422002362,1 +66469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.447276223,1 +66470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.846361124,1 +66471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.320724579,1 +66472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.66025307,1 +66473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.751979229,1 +66474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.286555932,1 +66476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.429288674,1 +66475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.56964106,1 +66477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.870585231,1 +66478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.571215374,1 +66480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.746502047,1 +66479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.59677389,1 +66482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.442465338,1 +66481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.330749907,1 +66483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.128613319,1 +66484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.556178691,1 +66486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.107787301,1 +66485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.927565256,1 +66487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,7.955340635,1 +66488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.090239684,1 +66489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.303577474,1 +66490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.88293391,1 +66491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.532328702,1 +66492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.837437098,1 +66494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.002251769,1 +66493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.574205623,1 +66496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.836478378,1 +66495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.225181509,1 +66497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.548125365,1 +66498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.483192796,1 +66499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.58159177,1 +66502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.47528178,1 +66501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.01761415,1 +66503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.334488261,1 +66504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.712810363,1 +66505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.258950306,1 +66506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.743513218,1 +66507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.540892292,1 +66500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,7.356726182,1 +66508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.209380879,1 +66512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.158587948,1 +66510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.78743329,1 +66511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.439281692,1 +66509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.567598585,1 +66513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.811162694,1 +66514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.144815656,1 +66516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.411517215,1 +66515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.474904814,1 +66517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.447543574,1 +66518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.75647684,1 +66519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.597687941,1 +66521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.991942751,1 +66522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.607199539,1 +66523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.113195111,1 +66520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.173889402,1 +66524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.176122124,1 +66525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,7.352341215,1 +66527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.182682798,1 +66526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.102361465,1 +66528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.913048936,1 +66529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.710329463,1 +66531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.166358435,1 +66530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.806745505,1 +66533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.756207,1 +66532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.307341274,1 +66534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.001090605,1 +66535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.184235285,1 +66536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.592297433,1 +66537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,7.717699751,1 +66538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.920122479,1 +66540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.605410025,1 +66539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.068475857,1 +66542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.970939665,1 +66543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.126571717,1 +66541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.804799707,1 +66544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.738035913,1 +66546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.669541857,1 +66545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.299476936,1 +66547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.899272599,1 +66548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.712927606,1 +66549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.531750992,1 +66550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.176894766,1 +66551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.268974977,1 +66552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.785611263,1 +66553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.653756537,1 +66554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.248004775,1 +66555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.417472603,1 +66559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.59954791,1 +66556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.308500162,1 +66558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.706189489,1 +66557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.683105529,1 +66561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.666957429,1 +66560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.774403792,1 +66563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,7.790921837,1 +66562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.79078351,1 +66565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.750310752,1 +66566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.780217843,1 +66567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.849995019,1 +66564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.862633481,1 +66568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.541073437,1 +66569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.870398085,1 +66570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.157658127,1 +66571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.747766364,1 +66574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.073784389,1 +66572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.595689912,1 +66573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.141722075,1 +66575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.060381651,1 +66578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.044981715,1 +66576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.84457975,1 +66577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.271953991,1 +66579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.223728033,1 +66581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.568276921,1 +66580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.259322307,1 +66582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.965888952,1 +66586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.649774645,1 +66585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.520616033,1 +66584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.790846806,1 +66583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.628594611,1 +66587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.745818065,1 +66590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.056914316,1 +66588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.431772992,1 +66589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.294541478,1 +66591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.122989334,1 +66593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.297141591,1 +66594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.529827257,1 +66595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.881765818,1 +66596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.033240485,1 +66597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.124081825,1 +66598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.562524939,1 +66592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.672657824,1 +66599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.566557998,1 +66600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.662541256,1 +66601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.607099522,1 +66602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.547414615,1 +66603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.14338447,1 +66604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.28469913,1 +66605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.580044076,1 +66606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.279959504,1 +66607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.030653206,1 +66608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.395149144,1 +66609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.076137193,1 +66611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.338295957,1 +66612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.243942808,1 +66613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.320014566,1 +66614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.791125371,1 +66615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.211159109,1 +66610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.24440419,1 +66616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.495528902,1 +66617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,7.343066293,1 +66619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.063730315,1 +66618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.652855125,1 +66620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.240351232,1 +66621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.623874669,1 +66623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.552817236,1 +66622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.828361554,1 +66624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.063622717,1 +66625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.406313057,1 +66626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.815157276,1 +66629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.046340854,1 +66628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.42351321,1 +66627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.979412998,1 +66630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.978547269,1 +66632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.307043317,1 +66631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.670326511,1 +66633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.56627222,1 +66634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.043272564,1 +66636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.821819609,1 +66635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.835356166,1 +66637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.488845581,1 +66638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.71298331,1 +66639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.401348749,1 +66640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.330471418,1 +66642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.470083927,1 +66641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.531489305,1 +66643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.310771202,1 +66644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.24255509,1 +66645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.346112342,1 +66647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.679210934,1 +66648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.730916013,1 +66646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.679374902,1 +66649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.146764741,1 +66650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.637783657,1 +66652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.289322167,1 +66651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,7.295688552,1 +66653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.030566878,1 +66654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.138309205,1 +66655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.271623798,1 +66656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.538267704,1 +66657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.343586721,1 +66658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.097838163,1 +66660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.921170198,1 +66659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.965539041,1 +66661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.775950195,1 +66662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.726397292,1 +66663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.127412858,1 +66665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.518824915,1 +66664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.902568897,1 +66666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.778607945,1 +66667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.913192357,1 +66668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.308990666,1 +66669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.816403655,1 +66670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.967357977,1 +66672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.68139886,1 +66671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.570889208,1 +66674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.931632441,1 +66673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.910222264,1 +66675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.594857155,1 +66676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.607293767,1 +66677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.682936815,1 +66678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.289094563,1 +66679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.600555657,1 +66680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.096232266,1 +66681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.738182968,1 +66684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.102417796,1 +66683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.170580544,1 +66685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.932513481,1 +66686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.5688555,1 +66687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.662121141,1 +66682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.823714419,1 +66688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.585291857,1 +66689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.505538539,1 +66690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.764794726,1 +66692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.550251527,1 +66693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.184611596,1 +66694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.240649732,1 +66691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.010242618,1 +66695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.935995182,1 +66698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.276624247,1 +66696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.483195143,1 +66697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.948973201,1 +66699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.694403577,1 +66701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.658351357,1 +66700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.394357742,1 +66702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.608561866,1 +66703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.450524131,1 +66704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.481755262,1 +66705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.004996352,1 +66706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.57735207,1 +66707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.398066658,1 +66709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.182151236,1 +66710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.625424332,1 +66708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.371467905,1 +66711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.776915506,1 +66713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.513463894,1 +66712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.91451852,1 +66714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.022239228,1 +66715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.719120673,1 +66717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,7.50552728,1 +66716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.76071181,1 +66718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.528388035,1 +66720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.465377847,1 +66722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.466095377,1 +66719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.991347379,1 +66723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.901707171,1 +66721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.077512154,1 +66725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.870412113,1 +66724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.915572537,1 +66728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.837519588,1 +66727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.074243209,1 +66726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.907421428,1 +66729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.565899171,1 +66730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.389232593,1 +66733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.135358517,1 +66732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.466415173,1 +66731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.051456257,1 +66736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.72091768,1 +66735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.427545865,1 +66737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.597056721,1 +66734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.292964756,1 +66738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.798368745,1 +66739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.986631039,1 +66740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.182173948,1 +66741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.261501439,1 +66743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.218450605,1 +66742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.357476449,1 +66745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.274698989,1 +66744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.700082995,1 +66746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.161796725,1 +66747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.217101947,1 +66748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.135518326,1 +66749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.940221739,1 +66750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.760969497,1 +66751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.646134762,1 +66753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.882863816,1 +66755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.977122513,1 +66754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.862991818,1 +66752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.092225894,1 +66759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.610538505,1 +66758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.805235029,1 +66756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.000852799,1 +66757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.298034393,1 +66761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.984468639,1 +66760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.49713474,1 +66763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.947780216,1 +66762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.458942588,1 +66764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.900569991,1 +66765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.174178203,1 +66766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.201544781,1 +66767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.534846621,1 +66768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.979583296,1 +66770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.55923294,1 +66771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.857833624,1 +66773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.213466775,1 +66769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.174298109,1 +66772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.953185238,1 +66775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.535596479,1 +66774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.129117368,1 +66776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,7.123057994,1 +66777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.420082642,1 +66778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.21514148,1 +66780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.981105306,1 +66779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.341676757,1 +66781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.616722293,1 +66782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.051048775,1 +66783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.479622238,1 +66784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.943149041,1 +66785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.569968015,1 +66786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.170368204,1 +66787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.718859982,1 +66788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.282081044,1 +66789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.167659418,1 +66791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.230731917,1 +66790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.346349423,1 +66793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.511705239,1 +66794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.676927054,1 +66795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.146817015,1 +66792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.032917725,1 +66797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.867780863,1 +66796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.527893789,1 +66798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.503408956,1 +66801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.628148194,1 +66800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.068240148,1 +66802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,7.17942753,1 +66799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,7.444260867,1 +66803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.210022321,1 +66804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.644539762,1 +66805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.908210774,1 +66806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.627123497,1 +66807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,0.891096481,1 +66808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.895349167,1 +66809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.257925029,1 +66810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,9.722975382,1 +66811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.000187592,1 +66812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.663708106,1 +66813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.7701886,1 +66815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.035992294,1 +66816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.340225713,1 +66817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.264526983,1 +66814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.277703845,1 +66818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.877486785,1 +66820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.338204524,1 +66819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.523686926,1 +66822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.8622003,1 +66821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.894109552,1 +66823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.813619115,1 +66824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.772028568,1 +66825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.326296992,1 +66826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.699867459,1 +66827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.924581928,1 +66828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.457601395,1 +66829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.299252602,1 +66831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.95574447,1 +66830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.332578547,1 +66832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.683193526,1 +66833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.986623008,1 +66834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.951852835,1 +66835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.393706778,1 +66836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.663784739,1 +66837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.897747348,1 +66838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.171411842,1 +66840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.266962493,1 +66839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.172711889,1 +66841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.997178982,1 +66842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.631665221,1 +66843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.985469199,1 +66845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.087357823,1 +66844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.449521683,1 +66846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.420469694,1 +66847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.532102031,1 +66848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.501574278,1 +66850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,7.11603233,1 +66849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.917541119,1 +66851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,0.459414284,1 +66852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.508546754,1 +66853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.953384176,1 +66855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.929918919,1 +66856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.172128004,1 +66854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.07977405,1 +66857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.335139563,1 +66858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.359547576,1 +66859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.628196756,1 +66861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.426971607,1 +66860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.144456155,1 +66862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.911643696,1 +66864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.743792495,1 +66865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.366109854,1 +66863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.89677645,1 +66866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.015443155,1 +66868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.477573558,1 +66867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.273045853,1 +66869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.443719051,1 +66870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.134364637,1 +66872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.122029133,1 +66871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.500957777,1 +66874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.912588423,1 +66873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.814677897,1 +66875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.978135775,1 +66876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.118275138,1 +66877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.251712086,1 +66878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.086068637,1 +66879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.100349585,1 +66880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.121710451,1 +66881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.440946326,1 +66883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.467048174,1 +66882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.074456752,1 +66885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.758086844,1 +66886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.783575904,1 +66887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.18611627,1 +66884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.608394795,1 +66888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.943934251,1 +66889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.720768202,1 +66890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.071336061,1 +66891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.165325324,1 +66892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.013648048,1 +66893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.176216655,1 +66894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.241687312,1 +66895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.992419154,1 +66896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.904020063,1 +66897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.600757554,1 +66898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.346624048,1 +66900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.267001236,1 +66899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.694842321,1 +66901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.862983879,1 +66902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.320760225,1 +66903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.797611658,1 +66905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.387689456,1 +66906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.29489112,1 +66907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.352458781,1 +66904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.475232903,1 +66908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.524547406,1 +66909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.948587387,1 +66910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.84766044,1 +66913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.203943173,1 +66912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.729045253,1 +66911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.230812436,1 +66914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.218330797,1 +66916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.250708014,1 +66915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.800304756,1 +66918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.505626129,1 +66917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.802122076,1 +66919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.539833649,1 +66920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.70732991,1 +66921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.726187937,1 +66923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.438547241,1 +66925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.98595292,1 +66924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.829963837,1 +66922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.623374202,1 +66926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.441214132,1 +66927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.603167685,1 +66928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.007786432,1 +66930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.483308944,1 +66929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.019602786,1 +66932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,1.321805483,1 +66931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.164732014,1 +66933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.990364907,1 +66934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.728225051,1 +66935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.045743153,1 +66936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.319248057,1 +66937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.672570254,1 +66939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.892390532,1 +66940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.28875968,1 +66938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.679021945,1 +66941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.77618993,1 +66942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.021357419,1 +66944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.627222707,1 +66943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.10641359,1 +66945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.218284032,1 +66946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.288552245,1 +66948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.522849806,1 +66949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.690360074,1 +66947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.549600119,1 +66950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.700962457,1 +66952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.385677054,1 +66951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.243136098,1 +66953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.683721958,1 +66954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.187225824,1 +66955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.202802193,1 +66956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.886167373,1 +66957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.302146027,1 +66958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.584807031,1 +66959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.701203965,1 +66960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.012667297,1 +66962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.966501482,1 +66963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.103826307,1 +66964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.627159574,1 +66961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.529231496,1 +66965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.384355157,1 +66966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.304403059,1 +66967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.562779605,1 +66969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.861615193,1 +66970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.332310409,1 +66971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.69096705,1 +66968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.347104699,1 +66972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.531305046,1 +66973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.58345557,1 +66975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.966547406,1 +66974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.300214454,1 +66976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.917956214,1 +66977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.771793338,1 +66978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,7.497197205,1 +66980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.146467733,1 +66979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.320551226,1 +66981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.557538482,1 +66984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.804424105,1 +66983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.01355731,1 +66985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.610668121,1 +66982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.965415341,1 +66986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.297341982,1 +66987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.729649958,1 +66989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.419566866,1 +66988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.720274551,1 +66991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,7.306301858,1 +66990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.659480174,1 +66992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,4.412672883,1 +66993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.78318188,1 +66994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.725822407,1 +66995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,6.40097807,1 +66997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.534820844,1 +66999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.406993681,1 +66998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,3.630894187,1 +66996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,2.509582303,1 +67000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,7,1,5.725213523,1 +76001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.56091601,1 +76002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.946613579,1 +76004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.098124874,1 +76005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.113436763,1 +76006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.673902532,1 +76007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.674973238,1 +76008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.737194998,1 +76009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.520828731,1 +76003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.858757596,1 +76010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.373389103,1 +76011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.072393661,1 +76012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.177699786,1 +76013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.871720868,1 +76014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.060302094,1 +76015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.151084503,1 +76017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.089591609,1 +76016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.249611307,1 +76018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.727808932,1 +76019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.041241144,1 +76020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.556501659,1 +76021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.116495885,1 +76022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.466956801,1 +76023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.538731537,1 +76025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.417387964,1 +76026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.224047242,1 +76027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.820515937,1 +76028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.978709271,1 +76030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.687069565,1 +76024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.102478451,1 +76029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.343983552,1 +76033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.351652605,1 +76031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.973892991,1 +76032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.081457345,1 +76034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.258014243,1 +76035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.047680214,1 +76036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,1.028248143,1 +76037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.868449472,1 +76038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.893277031,1 +76040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.108086576,1 +76041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.201988872,1 +76042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.250933781,1 +76039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.43014756,1 +76043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.835323944,1 +76044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.552825477,1 +76047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.416376079,1 +76045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.222904696,1 +76046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.615682797,1 +76048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.876052457,1 +76050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.275346795,1 +76051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.035370724,1 +76049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.418825333,1 +76052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.157938155,1 +76054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.137004986,1 +76053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.714517647,1 +76055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.064435226,1 +76056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.302508732,1 +76058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.393101303,1 +76057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.590042698,1 +76059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.982779808,1 +76060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.924878662,1 +76063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.208952332,1 +76061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.820514924,1 +76064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.45590914,1 +76062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.987760127,1 +76065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.116538025,1 +76066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.069180666,1 +76067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.748714006,1 +76069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.505704905,1 +76070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.303848165,1 +76068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.69302079,1 +76071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.865202756,1 +76073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.224594206,1 +76072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.548012879,1 +76074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.490396461,1 +76075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.432996185,1 +76076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.148153757,1 +76077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.515285782,1 +76078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.039493625,1 +76079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.503780034,1 +76081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.883986719,1 +76080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.752910547,1 +76082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.669493552,1 +76083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.547946398,1 +76084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.902905713,1 +76085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.176549821,1 +76086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.794327727,1 +76087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.019559034,1 +76088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.83987283,1 +76089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.503514384,1 +76090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.801223621,1 +76091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.290968377,1 +76093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.842960516,1 +76092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.168038447,1 +76095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.685340594,1 +76094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.763615928,1 +76096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.411047154,1 +76097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.628606962,1 +76098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.389355475,1 +76100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.280892958,1 +76099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.014391875,1 +76102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.499823047,1 +76103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.949763763,1 +76104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.529718507,1 +76101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.838191516,1 +76105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.803733587,1 +76106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.709881863,1 +76107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.931973931,1 +76108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.63439835,1 +76109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.633973074,1 +76110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.807494334,1 +76112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.749690389,1 +76111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.46552081,1 +76113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.184415262,1 +76114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.89490133,1 +76116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.900182836,1 +76117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.471558861,1 +76118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.224479969,1 +76115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.895725456,1 +76120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.015089612,1 +76119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,7.564055343,1 +76121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.673327658,1 +76122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.821082215,1 +76123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.295339117,1 +76124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.587279049,1 +76125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.576339051,1 +76126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.490268958,1 +76127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.538608551,1 +76128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.593155518,1 +76129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.472042821,1 +76130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.689421948,1 +76131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.572187073,1 +76132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.750814786,1 +76133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.101599121,1 +76135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.005706416,1 +76134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.245550241,1 +76137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.258703633,1 +76136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.41600788,1 +76138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.408016095,1 +76139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.212536624,1 +76140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.81357146,1 +76141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.06247232,1 +76143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.20200457,1 +76142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.530409436,1 +76144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.018373563,1 +76145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.460856484,1 +76146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.555340667,1 +76147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.426195423,1 +76148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.44291192,1 +76149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.856649496,1 +76151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.381963093,1 +76150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.632496544,1 +76152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.831441753,1 +76153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.38039854,1 +76154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.490585784,1 +76155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.434456828,1 +76158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.288289527,1 +76156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.865681597,1 +76157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.08955295,1 +76159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.704812647,1 +76160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.790417375,1 +76161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.130989328,1 +76162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.851377721,1 +76163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.62082554,1 +76164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.080581683,1 +76165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.426290706,1 +76167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.943612495,1 +76166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.485022161,1 +76168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.94749226,1 +76169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.242225784,1 +76171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.471380482,1 +76170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.868407329,1 +76172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.537336767,1 +76173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.95939638,1 +76174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.599841642,1 +76175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.744244097,1 +76176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.193610649,1 +76177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.094413697,1 +76180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.489641864,1 +76179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.790515735,1 +76178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.826380524,1 +76181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.448294725,1 +76182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.798440394,1 +76184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,8.425979283,1 +76185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.768489829,1 +76183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.220233668,1 +76186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.907675315,1 +76187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.730670338,1 +76189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.69176482,1 +76188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.250284951,1 +76190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.051908411,1 +76193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.862817335,1 +76192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.351549752,1 +76191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.01297836,1 +76194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.68398704,1 +76195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.528203001,1 +76196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.483373025,1 +76197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.947754573,1 +76198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.993501016,1 +76199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.425646728,1 +76200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.923483763,1 +76201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.495822233,1 +76202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.775660847,1 +76203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.118777944,1 +76204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.309157676,1 +76206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.800085509,1 +76207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.004050215,1 +76208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.50324176,1 +76205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.145830972,1 +76209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.87347759,1 +76210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.397025065,1 +76211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.283011186,1 +76212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.917677207,1 +76213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.937357477,1 +76215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.099974437,1 +76214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.640296173,1 +76216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.351185875,1 +76217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.1770152,1 +76219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.547961016,1 +76220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.307886387,1 +76218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.809700537,1 +76222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.208468857,1 +76221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.286128156,1 +76223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.172817824,1 +76224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.967579241,1 +76225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.372717533,1 +76226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.173289599,1 +76227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.65400501,1 +76228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.207881359,1 +76230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.212380679,1 +76229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.800419599,1 +76232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.574664361,1 +76231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.882533965,1 +76233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.850405961,1 +76234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.664555536,1 +76235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.284837639,1 +76237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.960951936,1 +76236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,7.168487457,1 +76238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.763382402,1 +76239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.451642682,1 +76240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.745356407,1 +76242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.774981192,1 +76241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.761325488,1 +76243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.186205564,1 +76244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.384534449,1 +76245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.653222678,1 +76247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.24206428,1 +76246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.948390494,1 +76249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.094411952,1 +76248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,7.054388443,1 +76250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.155519096,1 +76251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.979476612,1 +76252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.047277641,1 +76253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.831434242,1 +76254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.571040562,1 +76256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.161303765,1 +76257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.381310998,1 +76258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.89297992,1 +76259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.100666368,1 +76255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.556495544,1 +76260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.654879078,1 +76261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.136741748,1 +76262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.189831505,1 +76264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.873926206,1 +76263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.466639846,1 +76265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.1101257,1 +76266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.392174901,1 +76267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.48392404,1 +76268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.935446473,1 +76269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.252963643,1 +76270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.668689491,1 +76271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.553102072,1 +76273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,7.789235555,1 +76274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.624668559,1 +76275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.99868711,1 +76276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.233367932,1 +76278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.564374375,1 +76272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.706818475,1 +76277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.728820312,1 +76279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,1.572239935,1 +76281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.57207591,1 +76280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.722938713,1 +76282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,1.669406628,1 +76284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.323327277,1 +76283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.608479785,1 +76285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.056431527,1 +76286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.92824875,1 +76288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.528687317,1 +76287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.582272515,1 +76289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.035534088,1 +76290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.284111077,1 +76291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.320097505,1 +76293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.904211929,1 +76294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.167874366,1 +76292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.390477493,1 +76295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.954976587,1 +76296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.270978974,1 +76297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.212372959,1 +76298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.915160221,1 +76299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.141548978,1 +76300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.338012355,1 +76301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.741259217,1 +76302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.379746016,1 +76303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.512873054,1 +76304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.023690177,1 +76305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.872057124,1 +76306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.077343145,1 +76307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.06413319,1 +76308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.354353483,1 +76309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.789643558,1 +76312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.115187766,1 +76310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.197728847,1 +76313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.574880899,1 +76311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.761098252,1 +76314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.694139651,1 +76315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.529918878,1 +76316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.676815229,1 +76317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.380012326,1 +76318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,7.430336505,1 +76320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.993018271,1 +76321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.198690721,1 +76319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.081728773,1 +76322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.356986629,1 +76324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.145197166,1 +76323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.622666164,1 +76325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.004927169,1 +76326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.228946701,1 +76327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.73336433,1 +76328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.356815792,1 +76329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.045566196,1 +76330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.524776463,1 +76331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,7.47386783,1 +76332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.809768409,1 +76334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.201788798,1 +76335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.070594795,1 +76333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.712785158,1 +76336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.867300539,1 +76337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.410647994,1 +76338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.200608678,1 +76339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.638905823,1 +76340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.115732602,1 +76341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.653038202,1 +76342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.921606486,1 +76343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,1.948841996,1 +76344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.771624098,1 +76345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.316030192,1 +76346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.604114813,1 +76347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.167175099,1 +76348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.841205348,1 +76349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.310884903,1 +76350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.459100173,1 +76352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.900727483,1 +76351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.69286653,1 +76353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.831277587,1 +76354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.096291803,1 +76356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.81973444,1 +76357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.988631628,1 +76355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.881560047,1 +76358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,1.370157394,1 +76359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.229895512,1 +76360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.836732942,1 +76361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.485317081,1 +76362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.09914095,1 +76364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.958173954,1 +76365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.716800023,1 +76366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.305883432,1 +76363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.954199964,1 +76367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.716292675,1 +76368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.31032368,1 +76369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.820190968,1 +76371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.709675028,1 +76370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.732570848,1 +76372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.400707929,1 +76373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.901227923,1 +76374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.402690204,1 +76376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.794517172,1 +76377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.446337901,1 +76375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.422942662,1 +76378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.441906649,1 +76379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.30699405,1 +76380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.182153554,1 +76382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.858700175,1 +76381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.68970977,1 +76383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.66806743,1 +76384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.013993847,1 +76385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.086533986,1 +76386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.296256352,1 +76387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.339264806,1 +76388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.545322866,1 +76389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.527867287,1 +76390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.21528081,1 +76391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.22072505,1 +76392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.39747091,1 +76394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.918810822,1 +76395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.533897277,1 +76396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.514905829,1 +76393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.228365833,1 +76397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.675117598,1 +76398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.090522978,1 +76399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,1.868857537,1 +76401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.976927473,1 +76400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.058730461,1 +76403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.915759303,1 +76402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.927736368,1 +76404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.191759102,1 +76405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.753379254,1 +76406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.592690421,1 +76407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.565819254,1 +76408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.219163531,1 +76409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.446791924,1 +76410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.999736648,1 +76411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.33442566,1 +76412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.14053803,1 +76414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.13691552,1 +76415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.043850409,1 +76416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.906499512,1 +76413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.475747106,1 +76417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.717561612,1 +76418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.423944062,1 +76420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.851363705,1 +76419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.34697665,1 +76421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.252688243,1 +76422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.156444576,1 +76423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,1.364062985,1 +76424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.000337281,1 +76425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.275195537,1 +76426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.878035649,1 +76427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.104839713,1 +76428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.599104121,1 +76429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.62294273,1 +76430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.321068562,1 +76432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.191194961,1 +76433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.537330719,1 +76434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.73872269,1 +76435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.425926125,1 +76436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.009786404,1 +76431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.982368938,1 +76437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.81961631,1 +76438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.844339683,1 +76439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.430541817,1 +76440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.277414766,1 +76441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,7.251481541,1 +76442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.275292769,1 +76443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.328224851,1 +76444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.903357503,1 +76446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.181949247,1 +76445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.37719679,1 +76450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.36050083,1 +76448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.561761789,1 +76447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.315821545,1 +76449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.403910913,1 +76453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.448106972,1 +76451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.48255361,1 +76452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.86905239,1 +76454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.695566884,1 +76455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.094548065,1 +76456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.688070374,1 +76458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.393412636,1 +76457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.34657512,1 +76459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.536465179,1 +76460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,1.640011866,1 +76462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.18542224,1 +76461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.031183373,1 +76463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.282233512,1 +76464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.059327545,1 +76465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.309779224,1 +76468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.911312891,1 +76467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.794662832,1 +76469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.971508883,1 +76470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.395980982,1 +76471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.210839239,1 +76472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.115915747,1 +76466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.277794289,1 +76473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.245987657,1 +76474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.624964204,1 +76475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.601485351,1 +76476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.920705445,1 +76477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.153360628,1 +76478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.497126951,1 +76479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.329386448,1 +76480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.37989759,1 +76481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.046155637,1 +76482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.012996826,1 +76483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.702588852,1 +76484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.803401533,1 +76485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.362251198,1 +76486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.222066464,1 +76487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.404932122,1 +76489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.912068768,1 +76490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.465940508,1 +76491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.620452506,1 +76488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.315157371,1 +76492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.613214739,1 +76493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.058500813,1 +76494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.582674887,1 +76495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.09277506,1 +76496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.278420032,1 +76498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.77911845,1 +76497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.190823831,1 +76499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.498117914,1 +76500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,1.873882954,1 +76502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.951565732,1 +76501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.024719672,1 +76503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.485822825,1 +76504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.07286652,1 +76505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.194491988,1 +76506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.262227575,1 +76508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.989080083,1 +76510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.249481934,1 +76509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.534160096,1 +76507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.072094761,1 +76511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.052710952,1 +76512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.46572119,1 +76513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.212763895,1 +76515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.849045389,1 +76514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.813817207,1 +76516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.292193667,1 +76517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.732002844,1 +76518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.776873806,1 +76520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.356472986,1 +76521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.208410625,1 +76519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.79475372,1 +76522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.301347904,1 +76523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.868627184,1 +76524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.485086312,1 +76525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.712858798,1 +76527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.323707544,1 +76528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.036358289,1 +76526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.388432661,1 +76529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.145127668,1 +76530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.71308249,1 +76531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.50789626,1 +76532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.482427439,1 +76534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.1117481,1 +76533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.064303396,1 +76535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.135019818,1 +76536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.589146986,1 +76537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.391656077,1 +76538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.107759416,1 +76539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.016483678,1 +76540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.188299028,1 +76543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,1.135346468,1 +76541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.540053292,1 +76544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.341279624,1 +76542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.619852387,1 +76545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.556379662,1 +76546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.715743409,1 +76547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.510410256,1 +76549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.205079625,1 +76548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.896916106,1 +76550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.312858558,1 +76551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.393459775,1 +76552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.719803739,1 +76554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.321456194,1 +76553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.127886395,1 +76555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,1.316909983,1 +76556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.862259384,1 +76557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.323619274,1 +76558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.544097606,1 +76559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.953706165,1 +76560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.460472555,1 +76561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.47564699,1 +76563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.522709878,1 +76564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.742042616,1 +76565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.586654118,1 +76566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.217690499,1 +76562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.548742592,1 +76567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.701420568,1 +76568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,7.534026154,1 +76569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.839105581,1 +76572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.876202475,1 +76570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.721992504,1 +76571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.294430984,1 +76573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.961632229,1 +76575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.445585373,1 +76574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.853410895,1 +76576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.927503874,1 +76577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.368166232,1 +76579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.696297437,1 +76580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.373030269,1 +76581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.031565804,1 +76582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.424459965,1 +76578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.609072408,1 +76583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.671539229,1 +76584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.856404203,1 +76587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.899391243,1 +76585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.339302743,1 +76586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.155230372,1 +76588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.37606699,1 +76589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.371645391,1 +76590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.605725669,1 +76591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.670988598,1 +76594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.279663186,1 +76592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.344586262,1 +76593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.393883234,1 +76595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.633682593,1 +76596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.5335168,1 +76597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.68361928,1 +76598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.755551566,1 +76602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.882917278,1 +76600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.342634551,1 +76601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.553521124,1 +76599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,8.259534154,1 +76604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.650947833,1 +76603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.243001555,1 +76605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.393154842,1 +76606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.085793072,1 +76607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.771220692,1 +76608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.187275544,1 +76609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.755746934,1 +76610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.964812694,1 +76611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.179616128,1 +76612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.686901262,1 +76613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.999735117,1 +76614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.845506761,1 +76615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.125149386,1 +76616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.222341107,1 +76617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.66998359,1 +76619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.746268057,1 +76621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.045794006,1 +76620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.083666623,1 +76618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.041031917,1 +76622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.097383978,1 +76623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.638793638,1 +76624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.140607454,1 +76625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.219842563,1 +76626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.309814623,1 +76627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.206277962,1 +76628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.371237916,1 +76630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,1.86419665,1 +76629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.702492437,1 +76631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.372896757,1 +76632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.700782186,1 +76634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.163733574,1 +76635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.982137984,1 +76636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.89974221,1 +76633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.555171338,1 +76637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.546850275,1 +76638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.078108333,1 +76639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.960534008,1 +76640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.473215182,1 +76641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.583138492,1 +76642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.998782172,1 +76643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.523109245,1 +76644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.724477193,1 +76647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.501406961,1 +76648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.742336992,1 +76646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.251526808,1 +76645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.981051647,1 +76649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.992993056,1 +76651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.693622517,1 +76650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.270413293,1 +76652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.055657405,1 +76653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.082605119,1 +76655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.997718668,1 +76656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.050675101,1 +76654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.197753712,1 +76657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.792947648,1 +76658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.896372556,1 +76660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.323606411,1 +76659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.930333715,1 +76661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.601353838,1 +76662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.347499421,1 +76663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.252383688,1 +76664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.962738712,1 +76665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.44653935,1 +76666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.751616941,1 +76667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.108724014,1 +76668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.617854949,1 +76669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.434012918,1 +76670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.552548477,1 +76671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.605469354,1 +76672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.0632574,1 +76673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.439847328,1 +76674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,1.7276469,1 +76675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.444561314,1 +76677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.322813367,1 +76676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.041157586,1 +76678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.346311028,1 +76679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.004783766,1 +76681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.102331424,1 +76680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.228553482,1 +76683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.353257802,1 +76682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.707378652,1 +76685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.649663254,1 +76686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.979016204,1 +76687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.063944489,1 +76688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.274886814,1 +76689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.711303012,1 +76690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.643918289,1 +76684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.186491286,1 +76691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.789553379,1 +76692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.959562315,1 +76693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.095225314,1 +76694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.127797472,1 +76697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.419845655,1 +76695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.429114774,1 +76696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.561325869,1 +76698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.619641882,1 +76699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.926134651,1 +76700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.794246145,1 +76701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.614733852,1 +76703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.404633274,1 +76705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.572524153,1 +76704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.097539882,1 +76706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.597768881,1 +76707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.927722076,1 +76708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,7.320032406,1 +76702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.524605663,1 +76709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.709599003,1 +76710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,1.474573631,1 +76712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.667544597,1 +76711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.574985884,1 +76714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.00772055,1 +76713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.056819447,1 +76716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.479396637,1 +76715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.938794415,1 +76717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.996640481,1 +76718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.865721526,1 +76720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.634815015,1 +76719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.298197672,1 +76722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.387879745,1 +76721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.538531487,1 +76724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.272831174,1 +76725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.562377679,1 +76726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.87481573,1 +76723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.531435992,1 +76728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.12697502,1 +76727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.224295358,1 +76729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.595120283,1 +76730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.793040414,1 +76731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.43983653,1 +76732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.394311072,1 +76733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,1.529073778,1 +76734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.791059349,1 +76735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.352140253,1 +76737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.387456916,1 +76736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.907741689,1 +76739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.209182003,1 +76741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.796931729,1 +76740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.344049666,1 +76742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.815957409,1 +76738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.120297581,1 +76744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.431136013,1 +76743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.177033246,1 +76746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.247043095,1 +76745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.867962588,1 +76747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.872048825,1 +76748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.260063797,1 +76749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.264015964,1 +76752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.540566932,1 +76751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.923583081,1 +76750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.934905451,1 +76753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.708976638,1 +76755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.798395017,1 +76754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.19512408,1 +76756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.137192173,1 +76759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.471857869,1 +76758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.788041672,1 +76757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.972667392,1 +76760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.990431323,1 +76761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.892011137,1 +76762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.911261853,1 +76763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.059903864,1 +76764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.115682924,1 +76765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.372422228,1 +76766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.088721583,1 +76767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,1.78494274,1 +76768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.492221604,1 +76769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.168871826,1 +76770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.318384835,1 +76771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.183564766,1 +76772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.888299094,1 +76773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.820096571,1 +76774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,8.408646956,1 +76775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.828172659,1 +76777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.166465615,1 +76778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.512099628,1 +76779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.73878353,1 +76780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.346100657,1 +76781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.822556733,1 +76776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.355313991,1 +76783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.892906585,1 +76784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.387596898,1 +76782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.705963395,1 +76785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.793611411,1 +76789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.021951906,1 +76788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.204144942,1 +76786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.333505845,1 +76787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.995332611,1 +76790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.777354426,1 +76792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.018892024,1 +76793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.924853399,1 +76795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,7.48781074,1 +76796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.550714766,1 +76791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.246046663,1 +76794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.667302588,1 +76797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.736511669,1 +76798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.629951166,1 +76800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.388685859,1 +76799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.556186031,1 +76802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.134079678,1 +76804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.588432797,1 +76803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.126782689,1 +76801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.689863637,1 +76805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.480169098,1 +76806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.913664794,1 +76808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.207342087,1 +76809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.849270577,1 +76811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.322242938,1 +76807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.077289891,1 +76812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.502454651,1 +76813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.716673034,1 +76810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.312166211,1 +76814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.026056979,1 +76816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.480705267,1 +76817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.60213119,1 +76815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.860652338,1 +76818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.006513272,1 +76820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.258350312,1 +76821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.28795547,1 +76822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.112974937,1 +76819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.816366405,1 +76823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.27389832,1 +76824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.345981325,1 +76826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.296695942,1 +76827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.239160791,1 +76828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.75280143,1 +76829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,1.829701982,1 +76825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.000958439,1 +76831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.118886,1 +76832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.85415124,1 +76833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.575285039,1 +76830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.109425289,1 +76836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.995554591,1 +76837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.947286197,1 +76835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.913356722,1 +76834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,1.868016043,1 +76839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.622832598,1 +76838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.689285958,1 +76840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.159147966,1 +76841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.74897422,1 +76842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.270164362,1 +76844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.570419564,1 +76845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.535400079,1 +76847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.439946697,1 +76843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.162687057,1 +76848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.46782227,1 +76849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.864685327,1 +76850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.981056558,1 +76846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.497225784,1 +76851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.654190071,1 +76854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.219941027,1 +76853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.212151628,1 +76852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,11.52948019,1 +76855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.78160454,1 +76856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.442133665,1 +76857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.612382222,1 +76858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.928009521,1 +76859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.287845196,1 +76860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.421782509,1 +76862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.991170148,1 +76863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.943134343,1 +76864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.097225988,1 +76861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.455014953,1 +76866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.974604977,1 +76865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.889505048,1 +76867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.761776223,1 +76869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.825410232,1 +76870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.689433243,1 +76868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.555625781,1 +76871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.110651264,1 +76872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.809386974,1 +76873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.787247303,1 +76874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.125375668,1 +76875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.925689581,1 +76876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.934335746,1 +76877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,7.670346944,1 +76879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.045047424,1 +76880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.242458144,1 +76878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.697990087,1 +76881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.503002411,1 +76883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.316936032,1 +76884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.342072763,1 +76882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.194022821,1 +76885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.526585975,1 +76886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.587352041,1 +76888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.824707381,1 +76887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.598773854,1 +76889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.784246736,1 +76890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.063111105,1 +76891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.012427993,1 +76892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.619213813,1 +76893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.465287007,1 +76894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.581484301,1 +76896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.852028275,1 +76897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.932789514,1 +76895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.46055725,1 +76898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.980111259,1 +76900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.982471377,1 +76899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.054826203,1 +76901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.04163462,1 +76902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.276808797,1 +76903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.127347289,1 +76904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.326830192,1 +76905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,7.143946196,1 +76906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.664735577,1 +76907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.644309304,1 +76908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.503637749,1 +76909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,7.903508776,1 +76910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.773500648,1 +76912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.893758,1 +76911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.06793943,1 +76914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.658539909,1 +76915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.870502274,1 +76916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.277326445,1 +76913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.780898884,1 +76917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.310813949,1 +76918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.813675188,1 +76919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.919083461,1 +76920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.19575327,1 +76921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.744767827,1 +76922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,1.665515258,1 +76923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.965327025,1 +76924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.977175911,1 +76926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.183552299,1 +76927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.896180104,1 +76925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.062235839,1 +76929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.688035137,1 +76930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.876216268,1 +76931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.193120537,1 +76928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,7.132722737,1 +76932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.821257694,1 +76934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.125091304,1 +76933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.000534332,1 +76936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.722888765,1 +76935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.399887068,1 +76937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.822467033,1 +76938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.752740674,1 +76941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.956759817,1 +76939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.796026134,1 +76940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.114285591,1 +76942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.324178952,1 +76944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.989293009,1 +76943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.842352246,1 +76945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.874758397,1 +76946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.843110434,1 +76947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.952874698,1 +76948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.520977985,1 +76950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.295576923,1 +76951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.089750746,1 +76952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.034694897,1 +76953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.062070671,1 +76954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.306805676,1 +76949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.376128266,1 +76955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.559751699,1 +76956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.780869086,1 +76958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.00561324,1 +76959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.428617415,1 +76957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.197726324,1 +76961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.180258347,1 +76960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.358136614,1 +76962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,8.02855302,1 +76963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,1.887867512,1 +76965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.481379253,1 +76966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.661885311,1 +76964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.814458878,1 +76967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.768537489,1 +76968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.79801922,1 +76969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.973940956,1 +76971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.508557818,1 +76972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.194625079,1 +76970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.737499199,1 +76973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.980697603,1 +76974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.206055811,1 +76975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.308644502,1 +76976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.503611007,1 +76977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.333318605,1 +76978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.921665289,1 +76979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.351978216,1 +76981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.451915871,1 +76982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.328333762,1 +76983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.900555021,1 +76980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.54024505,1 +76984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,1.614269033,1 +76985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.61873425,1 +76986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.254913555,1 +76987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.981164882,1 +76989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.026212721,1 +76990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.154081694,1 +76988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.665726393,1 +76991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,3.403277676,1 +76992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.893531075,1 +76993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.415895883,1 +76994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.116723729,1 +76996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.00995964,1 +76997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.297334578,1 +76995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,4.709627168,1 +76998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,5.031470217,1 +76999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,6.776090464,1 +77000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,7,1,2.900957144,1 +86001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.617023573,1 +86004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.96069093,1 +86005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.424718458,1 +86003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.553476542,1 +86002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.108247086,1 +86006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.64815455,1 +86008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.72082153,1 +86009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.986483536,1 +86007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.912977135,1 +86011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.407734404,1 +86010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.941549228,1 +86013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.241545018,1 +86014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.830784196,1 +86015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.785053004,1 +86012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.729461011,1 +86016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.028622429,1 +86018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.586484227,1 +86017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.598333148,1 +86020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.697649392,1 +86019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.077315797,1 +86022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.71998259,1 +86021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.004828414,1 +86024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.263965388,1 +86023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.944464866,1 +86025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.485032468,1 +86026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.772980471,1 +86028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.026104828,1 +86027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.743520762,1 +86029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.01922867,1 +86030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.091768249,1 +86031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.432290218,1 +86033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.624302575,1 +86034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.708051235,1 +86035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.131060711,1 +86032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.327353606,1 +86037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.919291639,1 +86036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.159064989,1 +86038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.641987171,1 +86039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.539290913,1 +86041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.088711656,1 +86040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.70044381,1 +86042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.457113882,1 +86043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.286802253,1 +86044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.076157346,1 +86045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.603663784,1 +86046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.670056477,1 +86047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.671414078,1 +86048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,7.115739852,1 +86050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,7.90543238,1 +86049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.724388764,1 +86051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.585228243,1 +86054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.017630513,1 +86052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.453350411,1 +86053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.547339088,1 +86055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.666012139,1 +86057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.772204361,1 +86056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.312129513,1 +86058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.389424158,1 +86060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.853957517,1 +86061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.244259758,1 +86059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.532090628,1 +86062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.605355056,1 +86063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.433347363,1 +86066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.391915682,1 +86064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.749160564,1 +86067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.63326531,1 +86065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.290544292,1 +86069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.032102278,1 +86068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.165602223,1 +86070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.39063014,1 +86071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.034269468,1 +86072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.522713868,1 +86073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.08397591,1 +86074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.849614944,1 +86075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.405025435,1 +86076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.790706799,1 +86078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.926525979,1 +86077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.876988773,1 +86079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.143344197,1 +86080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,7.021630756,1 +86081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.20263615,1 +86082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.193552006,1 +86083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.526765414,1 +86084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.496195905,1 +86085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.944771644,1 +86086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.13440583,1 +86088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.743975662,1 +86087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.046732786,1 +86089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.162378193,1 +86090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.272243625,1 +86091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.937046545,1 +86093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.458655162,1 +86092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.992779116,1 +86094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.513973859,1 +86095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.365819127,1 +86097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.511061391,1 +86096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.31542617,1 +86099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.966196211,1 +86101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.842137816,1 +86098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.541959854,1 +86102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.247579467,1 +86103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.600175469,1 +86104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.452045524,1 +86100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.959682551,1 +86105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.688728421,1 +86106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.615295974,1 +86107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.368663594,1 +86109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.869059787,1 +86108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.912247047,1 +86110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.461948323,1 +86111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.866033768,1 +86113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.716872844,1 +86115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.310025555,1 +86112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.064554609,1 +86114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.957628402,1 +86118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.260986137,1 +86116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.022714404,1 +86119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.770667322,1 +86120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.206986309,1 +86122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.549935658,1 +86117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.239112096,1 +86123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.673919505,1 +86124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.603770801,1 +86121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.682466305,1 +86125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.305595707,1 +86128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.915061368,1 +86129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.335148196,1 +86126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.083482013,1 +86127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.180680743,1 +86130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.994195031,1 +86131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.967379517,1 +86133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.348877066,1 +86132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.622321437,1 +86134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.320992719,1 +86136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.270627662,1 +86137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.737009215,1 +86139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,1.763580822,1 +86135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.922342854,1 +86140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.551990101,1 +86142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.009714119,1 +86141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.148200349,1 +86144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.578568223,1 +86143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.114911695,1 +86138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.825125136,1 +86145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.180673927,1 +86146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.435343226,1 +86147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.242176188,1 +86148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.598304401,1 +86149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.075099407,1 +86151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.518480379,1 +86152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.922167743,1 +86153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.623781968,1 +86154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.819690928,1 +86156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.167253377,1 +86150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.34113163,1 +86155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.729650979,1 +86158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.637657004,1 +86157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.813359249,1 +86160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.997924288,1 +86159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.586229783,1 +86161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.640391955,1 +86162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.718570301,1 +86163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.955441648,1 +86164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.396033014,1 +86165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.377157265,1 +86166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.049724623,1 +86167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.945631831,1 +86168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.186628877,1 +86170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.024658276,1 +86172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.595253651,1 +86169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.292769235,1 +86171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.688179545,1 +86175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.755054633,1 +86173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.294893716,1 +86174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.999383829,1 +86176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,1.989487825,1 +86177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.146748226,1 +86178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.265697583,1 +86179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,7.347150694,1 +86180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.653920081,1 +86181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.45500463,1 +86182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.38834183,1 +86183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.167133017,1 +86187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.134180394,1 +86185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.735387959,1 +86184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.72253029,1 +86186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.213540706,1 +86189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.169057516,1 +86191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.090402124,1 +86190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.559284861,1 +86188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.096664461,1 +86192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.954731004,1 +86195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.6046743,1 +86193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.113450267,1 +86194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.214181081,1 +86196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.738516048,1 +86198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.526936163,1 +86197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.246561841,1 +86199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.567095267,1 +86200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.266236254,1 +86202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.335329083,1 +86201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.289541246,1 +86204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.819771492,1 +86205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.373158535,1 +86203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.456177159,1 +86206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.597271344,1 +86207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.36190457,1 +86208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.18369262,1 +86209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.671294402,1 +86210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.575103819,1 +86211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.406791118,1 +86212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.464664671,1 +86213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,7.978865541,1 +86214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.584033234,1 +86215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.144146491,1 +86216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.694646307,1 +86218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.042493207,1 +86219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.416390194,1 +86220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.022070068,1 +86217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.504392689,1 +86221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.228118373,1 +86223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.737754059,1 +86222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.361454269,1 +86224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.090342601,1 +86225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.944878691,1 +86226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.287148409,1 +86227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.026185274,1 +86228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.762568987,1 +86230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.041445422,1 +86229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.232184467,1 +86231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.077027298,1 +86232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.512562902,1 +86233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.181415416,1 +86234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.144333573,1 +86235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.638547892,1 +86237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.205127189,1 +86238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.212512137,1 +86239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.945146108,1 +86240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.427031162,1 +86241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.504436523,1 +86242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.463537666,1 +86236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.404836951,1 +86243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.232886933,1 +86245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.512206287,1 +86244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.230897373,1 +86246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.760830444,1 +86247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,1.863757067,1 +86249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.051282691,1 +86250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.957288742,1 +86248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.730085802,1 +86251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.222735178,1 +86252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.159317888,1 +86253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.183482148,1 +86254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.252878859,1 +86255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.169872956,1 +86256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.252641134,1 +86258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.213473734,1 +86259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.848923207,1 +86260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.091770377,1 +86261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.521586631,1 +86262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.219898307,1 +86257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.009819493,1 +86263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.249491139,1 +86266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.785997844,1 +86264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.182521323,1 +86265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.547637209,1 +86268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.579912485,1 +86267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.327140666,1 +86269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.129250118,1 +86270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.968903004,1 +86272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.649158841,1 +86273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.432114687,1 +86274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.119360538,1 +86275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.250086059,1 +86277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.2892366,1 +86276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.391660455,1 +86271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.199345809,1 +86278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.721456243,1 +86280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.239871343,1 +86281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.547246453,1 +86279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.130896612,1 +86282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.776538682,1 +86283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.717718829,1 +86284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.14908549,1 +86285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.685297341,1 +86286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.414422963,1 +86287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.072342927,1 +86288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.853500317,1 +86289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.646341288,1 +86290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.098226093,1 +86291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.901577157,1 +86293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.153460192,1 +86295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,8.139986564,1 +86294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.54968097,1 +86296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.735469356,1 +86292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.963582827,1 +86298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.915120676,1 +86297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.425673147,1 +86299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.880003943,1 +86300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.002807543,1 +86302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.791018623,1 +86301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.252752122,1 +86303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.314267864,1 +86304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.455364959,1 +86306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.195313264,1 +86305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,7.461515046,1 +86307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.968256386,1 +86309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.770189845,1 +86310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.781819938,1 +86308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.047560416,1 +86311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.424836353,1 +86312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.398644688,1 +86313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.80682247,1 +86314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.970815273,1 +86315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.99354289,1 +86316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.241919658,1 +86317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.610692589,1 +86318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.351332091,1 +86319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.61752313,1 +86320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.021742306,1 +86321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.111285934,1 +86323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.795640721,1 +86324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.146244125,1 +86322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.911403234,1 +86325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.339855228,1 +86326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.565442876,1 +86327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.036279374,1 +86328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.960334887,1 +86329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.189869892,1 +86330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.760095928,1 +86331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.12231194,1 +86333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.222039741,1 +86334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.779582219,1 +86335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.388734223,1 +86332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.577382968,1 +86336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.798526808,1 +86337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.827676761,1 +86338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.276109101,1 +86341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.903868766,1 +86340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.878227502,1 +86339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.875712201,1 +86342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.658284379,1 +86343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.082878082,1 +86344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.510715823,1 +86345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.263367454,1 +86346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.52642828,1 +86347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.162102335,1 +86348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.439463401,1 +86351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.113312431,1 +86350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.689519844,1 +86352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.667200823,1 +86353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.451992399,1 +86354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.397681945,1 +86349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.722944918,1 +86355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.330022668,1 +86357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.370194388,1 +86356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.312206788,1 +86358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.369753337,1 +86360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.828045868,1 +86359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.033322088,1 +86361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.275691184,1 +86362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.71037398,1 +86363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.689713106,1 +86364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.774811493,1 +86365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.737011198,1 +86367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.054030895,1 +86368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.123501095,1 +86369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.066046389,1 +86371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.716402433,1 +86370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.072603279,1 +86366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.534557128,1 +86372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.464828775,1 +86373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.08529469,1 +86374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.670043113,1 +86375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.510262243,1 +86376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.440167659,1 +86377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.82478786,1 +86378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.061529599,1 +86379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.617283594,1 +86380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.30353326,1 +86381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.006186417,1 +86382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.316961585,1 +86383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.727619634,1 +86384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.448122774,1 +86386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.793449444,1 +86385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.079919462,1 +86388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.707876062,1 +86389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.841782583,1 +86387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.109145863,1 +86390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.828405916,1 +86391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.95156463,1 +86392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.187296094,1 +86393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.697237164,1 +86394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.171608894,1 +86395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.361409304,1 +86396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.544084038,1 +86397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.471128126,1 +86398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.241122175,1 +86399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.163708846,1 +86400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.810127523,1 +86401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.005987978,1 +86403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.381822421,1 +86402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.216385591,1 +86404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.842156852,1 +86406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.619967791,1 +86407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.977783228,1 +86408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.377445034,1 +86410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.950170059,1 +86409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.605032001,1 +86405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.198351686,1 +86411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.822626632,1 +86413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.05462548,1 +86412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.131631183,1 +86415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.748866769,1 +86416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.147899488,1 +86417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.357287384,1 +86414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.748581451,1 +86421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.897849799,1 +86418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.82691868,1 +86420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.462704414,1 +86419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.497689264,1 +86424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.886520432,1 +86422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.699564196,1 +86423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.558206245,1 +86425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.889027109,1 +86426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.386775083,1 +86429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.804802047,1 +86428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.155687715,1 +86431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.084810587,1 +86430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.107498107,1 +86432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.362467477,1 +86427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.828433761,1 +86434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.048270844,1 +86435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.061868403,1 +86436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.525971934,1 +86433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.052294403,1 +86437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.749422127,1 +86438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.574623386,1 +86440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.721834571,1 +86439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.33473764,1 +86441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.422424666,1 +86442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.434565068,1 +86443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.685392533,1 +86444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.325377358,1 +86446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.620595308,1 +86447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.276444473,1 +86445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.781422446,1 +86449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.056575394,1 +86451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.265354433,1 +86450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.259036461,1 +86448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.101891373,1 +86452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.822683731,1 +86453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.617840775,1 +86454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.760147108,1 +86455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.605018744,1 +86456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.873741942,1 +86458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.129400924,1 +86457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.497198038,1 +86459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.357379041,1 +86460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.298975891,1 +86462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.507579156,1 +86461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.969239926,1 +86464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.007741146,1 +86466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.497149373,1 +86465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.756601219,1 +86463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.762988155,1 +86467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.929350261,1 +86468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.435759954,1 +86469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.048505819,1 +86470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.775146109,1 +86471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.121550935,1 +86472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.388520582,1 +86473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.449958148,1 +86474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.318189414,1 +86475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.515707257,1 +86476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.514342618,1 +86477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.48438519,1 +86478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.352989525,1 +86480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.401537488,1 +86479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.053138119,1 +86482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.988644849,1 +86481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.359445758,1 +86483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.247458813,1 +86484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.7341193,1 +86486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.557310297,1 +86485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.539451513,1 +86487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.685854683,1 +86488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.621637896,1 +86489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.599539184,1 +86490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.913069431,1 +86491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.677892703,1 +86492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.386211614,1 +86495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.73321494,1 +86493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.739230969,1 +86496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.30351403,1 +86497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.150210771,1 +86498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.13078503,1 +86499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.925026899,1 +86494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.639044422,1 +86500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.619529938,1 +86501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.18222687,1 +86502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.478649436,1 +86504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.163291902,1 +86505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.315839813,1 +86503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.145430357,1 +86506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.321207799,1 +86508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.677290954,1 +86507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.823226624,1 +86510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.681516887,1 +86509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.794042848,1 +86511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.195219515,1 +86512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.718690879,1 +86513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.165244786,1 +86514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.373868042,1 +86515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.656180445,1 +86516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.035004852,1 +86517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.544603303,1 +86519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,7.325053478,1 +86521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.711891375,1 +86520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.734478731,1 +86522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.743098691,1 +86518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.631534484,1 +86524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.234216584,1 +86523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.213165173,1 +86525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.589993821,1 +86528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.779182476,1 +86527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.774439323,1 +86526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.690935193,1 +86529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.477867391,1 +86530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.339227436,1 +86531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.583131987,1 +86532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.649068935,1 +86533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.328564692,1 +86534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.384153526,1 +86535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.184540708,1 +86536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.920218752,1 +86538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.870111402,1 +86537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.675820513,1 +86539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.677791817,1 +86542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.890582901,1 +86541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.544601713,1 +86540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.651057119,1 +86543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.955371822,1 +86544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.645750051,1 +86545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.611505233,1 +86547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.285433897,1 +86546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.180807466,1 +86548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.589870414,1 +86549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.422244163,1 +86550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.001821363,1 +86551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.990180429,1 +86552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.101276615,1 +86553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.00836827,1 +86554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.652984593,1 +86556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.221671841,1 +86557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.54378842,1 +86558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.438560859,1 +86555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.751917746,1 +86559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.147925135,1 +86560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.635901478,1 +86561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.777853404,1 +86563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,7.631515042,1 +86562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.656766023,1 +86565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.323119251,1 +86564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.977798974,1 +86566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.128736889,1 +86567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.379405754,1 +86568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.609450417,1 +86569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.088606852,1 +86571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.227960501,1 +86570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.256130225,1 +86572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.086204668,1 +86573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.442087764,1 +86576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.470365888,1 +86575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.303784962,1 +86577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.470385974,1 +86574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.906769485,1 +86579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.825892748,1 +86578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.60931012,1 +86580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.146540606,1 +86582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.627022395,1 +86583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.964377854,1 +86584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.710953218,1 +86581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.349122177,1 +86585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.118779559,1 +86586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.246630001,1 +86587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.122556937,1 +86588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.917740035,1 +86589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.382876062,1 +86591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.914547423,1 +86590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.942445725,1 +86592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.364877146,1 +86593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.899231241,1 +86595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.533182726,1 +86594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.138588298,1 +86597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.556940796,1 +86598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.019624467,1 +86599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.296992692,1 +86596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.647583079,1 +86600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.428006865,1 +86601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.975096167,1 +86602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.007065081,1 +86603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.92421611,1 +86604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.001077323,1 +86605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.341121005,1 +86606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.674547502,1 +86608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.52980501,1 +86607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.201696766,1 +86609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.298495516,1 +86610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.791054884,1 +86611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.778214023,1 +86612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.335906968,1 +86614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.210853305,1 +86613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.601986183,1 +86615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.813669423,1 +86617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.921753475,1 +86619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.925748501,1 +86616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.002747521,1 +86620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.115364781,1 +86621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.184139644,1 +86622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.254033819,1 +86618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.309767518,1 +86623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.464897953,1 +86624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.707474544,1 +86625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.535480705,1 +86627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.381542032,1 +86628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.043126508,1 +86626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.938114205,1 +86629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.222818618,1 +86632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,1.972776664,1 +86630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.907147876,1 +86631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.638548019,1 +86633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.543502974,1 +86634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.555233476,1 +86635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.758206756,1 +86636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.326754252,1 +86637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.84692806,1 +86639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.755064131,1 +86640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.799212515,1 +86638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.526944933,1 +86641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.56142134,1 +86642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.078763966,1 +86643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.964799893,1 +86644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.306720948,1 +86646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.540773765,1 +86647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.896944372,1 +86648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.489866209,1 +86645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.837086236,1 +86649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.161216916,1 +86650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.290295355,1 +86651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.118338592,1 +86653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.595529059,1 +86652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.523840275,1 +86654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.215836462,1 +86656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,8.031325853,1 +86657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.785710539,1 +86658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.354317782,1 +86655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.82138563,1 +86660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.441259625,1 +86662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,7.738024831,1 +86661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.207476119,1 +86659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.030168855,1 +86664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.337541036,1 +86666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.870104316,1 +86663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.159807913,1 +86665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.613767634,1 +86668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.611933806,1 +86667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.046994893,1 +86670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.651840755,1 +86669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.817024426,1 +86671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.609649575,1 +86672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.636618723,1 +86673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.712082776,1 +86674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.64831877,1 +86675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.605979006,1 +86677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.562878447,1 +86676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.783146566,1 +86679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.540166219,1 +86680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,7.152183999,1 +86678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.13819728,1 +86681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.711281823,1 +86682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.790782006,1 +86683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.357177438,1 +86685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.373100953,1 +86686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.418981944,1 +86687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.061205464,1 +86684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.51236701,1 +86688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.617997693,1 +86689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.636959747,1 +86690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.460850728,1 +86691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.419348658,1 +86693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.929451614,1 +86692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.388296059,1 +86694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.220243098,1 +86695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.312967788,1 +86696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.130144228,1 +86697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.342042999,1 +86698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.452351138,1 +86700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.870800995,1 +86701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.4224455,1 +86702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.642317265,1 +86699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.501838831,1 +86703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.097389821,1 +86704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.186261239,1 +86705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.362617048,1 +86706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.655422749,1 +86707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.066002909,1 +86708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.107447828,1 +86709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.390473074,1 +86710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.935059542,1 +86711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.83437234,1 +86712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.254774053,1 +86713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,1.529031803,1 +86714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.236264466,1 +86715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.596168971,1 +86716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.454771372,1 +86717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.612157065,1 +86719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.820302614,1 +86720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.64393523,1 +86721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.505813259,1 +86718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.110787933,1 +86723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.809662084,1 +86725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.439235031,1 +86722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.855064981,1 +86724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.029154951,1 +86726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.951929982,1 +86728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.643538781,1 +86727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.808889516,1 +86729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.151555757,1 +86730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.692706246,1 +86731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.048357559,1 +86733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.870801468,1 +86732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.173234447,1 +86735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.034490202,1 +86736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.520267079,1 +86734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.801014086,1 +86737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.858363893,1 +86740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.682117708,1 +86738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.644409773,1 +86739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.859122971,1 +86741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.8540399,1 +86742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.177646972,1 +86744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.785002434,1 +86743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.880018766,1 +86745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.29644718,1 +86747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.333427624,1 +86746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.254669278,1 +86748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.176787754,1 +86749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.080213597,1 +86750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.754108314,1 +86752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.398706738,1 +86751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.055184112,1 +86755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.839692141,1 +86754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.092169863,1 +86756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.169650883,1 +86753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.10817061,1 +86757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.707251042,1 +86758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.355251764,1 +86759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.182699639,1 +86760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.855594217,1 +86761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.292237099,1 +86762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.398145197,1 +86763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.509356967,1 +86764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.433747045,1 +86766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.056392808,1 +86765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.146232343,1 +86767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.394681975,1 +86769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.468306763,1 +86770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.761743394,1 +86768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.705253241,1 +86771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.383044399,1 +86773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.488106285,1 +86774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.910129539,1 +86772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.235150054,1 +86775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.380826762,1 +86776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.310293364,1 +86777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.986290341,1 +86779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.444076523,1 +86778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.785886919,1 +86780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.312753606,1 +86781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.950607348,1 +86783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.014278488,1 +86784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.130242626,1 +86782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.879973046,1 +86786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.09854526,1 +86785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.037437623,1 +86787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.821661599,1 +86788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.988233977,1 +86789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.375446492,1 +86791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.416618271,1 +86790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.395545116,1 +86792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.776435869,1 +86793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,1.548686653,1 +86794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.159495914,1 +86795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.706490941,1 +86796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.203778462,1 +86797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.174458067,1 +86798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.081165059,1 +86799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.259010963,1 +86800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.943475721,1 +86801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.65285094,1 +86802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.9640649,1 +86804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.992227004,1 +86805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.918683376,1 +86806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.027781463,1 +86803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.762568876,1 +86807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.211662766,1 +86808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.244529737,1 +86809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.758205019,1 +86811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.500959278,1 +86812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.127811952,1 +86813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.01802118,1 +86810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.703375334,1 +86814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.49550059,1 +86815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.442458433,1 +86817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.63210827,1 +86816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.516730231,1 +86818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.821958781,1 +86819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.600479084,1 +86821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.735326664,1 +86822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.93138569,1 +86823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.497408246,1 +86824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.178162207,1 +86820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,1.780000221,1 +86825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.416650374,1 +86826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.419280943,1 +86827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.954809298,1 +86829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.725079764,1 +86828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.096338759,1 +86830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.13532913,1 +86831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.32339935,1 +86832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.773746813,1 +86834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.923437124,1 +86833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.072767244,1 +86835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.567892285,1 +86836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.685640334,1 +86838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.07075724,1 +86837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.730649667,1 +86839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.312525219,1 +86840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.858666135,1 +86841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,8.174483467,1 +86843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.871003504,1 +86845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.579307009,1 +86844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.124282108,1 +86842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,7.532934556,1 +86846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.075636137,1 +86848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.478080415,1 +86849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.425480215,1 +86847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.272635752,1 +86850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.834300867,1 +86851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.9480317,1 +86852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.001750176,1 +86854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.653766759,1 +86853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.484256993,1 +86855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.660084171,1 +86856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.03998,1 +86857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.610811548,1 +86858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.114750695,1 +86859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.09407199,1 +86862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.469448081,1 +86863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.337470852,1 +86860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.86786122,1 +86861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.073299499,1 +86865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.849324603,1 +86867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.49405726,1 +86866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.402632811,1 +86864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.784428537,1 +86868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.474755087,1 +86869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.492796283,1 +86870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.739144679,1 +86871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.342152311,1 +86873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.718860441,1 +86872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.495170341,1 +86874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.401779034,1 +86875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.149943586,1 +86877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.399244129,1 +86876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.227612546,1 +86878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.340284688,1 +86879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.148133782,1 +86880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.101742919,1 +86881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.027428039,1 +86882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.01887332,1 +86884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.394124661,1 +86885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.145969324,1 +86886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.485629065,1 +86887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.250374732,1 +86883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.973852373,1 +86888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.029615119,1 +86889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.485445297,1 +86891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.695578765,1 +86890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.313893838,1 +86892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.407944306,1 +86893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.477833158,1 +86894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.966840609,1 +86895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.494687623,1 +86896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.791596812,1 +86897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.813879688,1 +86898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.37665387,1 +86899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.330267905,1 +86900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.498068739,1 +86901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.906566336,1 +86903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.602775197,1 +86904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.067869405,1 +86902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.30734548,1 +86908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.974756055,1 +86907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.459171333,1 +86905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.475855511,1 +86906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.29571031,1 +86909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.083794352,1 +86911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.838178416,1 +86910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.33245931,1 +86912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.360857734,1 +86913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.267617248,1 +86915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,7.132383301,1 +86916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.158643831,1 +86914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.089307342,1 +86917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.709632575,1 +86918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.200057387,1 +86919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.418565899,1 +86920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.393101189,1 +86921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.007607833,1 +86923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.562771897,1 +86922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.741209938,1 +86925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.685955528,1 +86926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.256655881,1 +86927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.18060796,1 +86928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.024998733,1 +86929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.687666542,1 +86930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.843770162,1 +86924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.416268504,1 +86931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.652081222,1 +86932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.684781285,1 +86933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.357532555,1 +86934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.574043215,1 +86937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.617515292,1 +86935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.542958872,1 +86936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.240633363,1 +86938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.090320079,1 +86939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.188389997,1 +86940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.362615437,1 +86942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.954483554,1 +86941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.743581667,1 +86943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.901905176,1 +86944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.086638381,1 +86946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.003500432,1 +86947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.442378694,1 +86948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.505377628,1 +86949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.111606328,1 +86950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.847631009,1 +86945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.965516425,1 +86954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.686434947,1 +86951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.487597873,1 +86952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.168973735,1 +86953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.416264691,1 +86956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.019427518,1 +86955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.461050076,1 +86957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.128850999,1 +86958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.955670981,1 +86959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.479842513,1 +86960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.963873283,1 +86962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.640887879,1 +86961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.664891533,1 +86963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.553453846,1 +86965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.648161343,1 +86966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.551223696,1 +86964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.795108752,1 +86967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.25674126,1 +86969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.565833385,1 +86968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.969737861,1 +86971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.362009617,1 +86972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.531127499,1 +86970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.524196546,1 +86973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,0.647587648,1 +86974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.994540604,1 +86975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.677617947,1 +86977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,2.435415127,1 +86976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.061828734,1 +86978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.068252921,1 +86979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.66169015,1 +86980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.985678757,1 +86982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.415408346,1 +86984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,7.054665715,1 +86983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.173045816,1 +86981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.289461505,1 +86985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.978463255,1 +86986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,1.893593867,1 +86987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.67409866,1 +86988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.35859642,1 +86989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.642302745,1 +86991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.764113915,1 +86990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.945387951,1 +86992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,3.511406609,1 +86993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.980979127,1 +86994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.623467922,1 +86995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.363336958,1 +86996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.356631197,1 +86998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,4.500538536,1 +87000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,1.778786096,1 +86999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,6.132844725,1 +86997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,7,1,5.342626523,1 +96001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.161521113,1 +96002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,7.071578492,1 +96003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.025407952,1 +96004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.568942053,1 +96005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.477823819,1 +96008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.725892963,1 +96007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.335923833,1 +96006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.113243582,1 +96009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.516445707,1 +96010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.067086522,1 +96011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.71807067,1 +96013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.365662929,1 +96014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.237695311,1 +96015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,7.804424605,1 +96012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.660757772,1 +96016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.83475954,1 +96017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.646693403,1 +96018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.964613641,1 +96019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.106650961,1 +96020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.461211923,1 +96021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.724473682,1 +96023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.832750872,1 +96022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.509150342,1 +96024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.029488357,1 +96025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.117958351,1 +96027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.698191521,1 +96028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.963418561,1 +96029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.227503651,1 +96030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.049738459,1 +96031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.608881177,1 +96032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.379175796,1 +96026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.430564331,1 +96033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.827599654,1 +96034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.521236518,1 +96036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.609220875,1 +96037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.263325186,1 +96035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.052488126,1 +96038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.931143765,1 +96039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.970467597,1 +96041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.772172106,1 +96040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.580924229,1 +96042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.373512535,1 +96044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.757820595,1 +96045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.978422777,1 +96046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.021402214,1 +96047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.598890631,1 +96049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.273403906,1 +96048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.951375977,1 +96043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.753498023,1 +96050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.503348835,1 +96052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.642345636,1 +96053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.424726065,1 +96051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.86153113,1 +96054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.187933556,1 +96055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.066426751,1 +96057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.642028621,1 +96056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.211652763,1 +96058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.19744544,1 +96059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.631007567,1 +96060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.843747448,1 +96061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.740639885,1 +96062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.841157357,1 +96064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.097304297,1 +96063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.898598508,1 +96066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,7.864114277,1 +96065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.00858891,1 +96068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.879692153,1 +96067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.970312307,1 +96069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.591489453,1 +96071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.001688855,1 +96070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.044243383,1 +96073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.218094033,1 +96072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.814931361,1 +96074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.384692242,1 +96076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.31164618,1 +96075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.180208884,1 +96077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.455612887,1 +96078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,7.130462491,1 +96081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.097501407,1 +96079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.263413469,1 +96082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.030386989,1 +96080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.549677393,1 +96083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.853810821,1 +96084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.465791395,1 +96085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.061053656,1 +96086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.927583112,1 +96087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.882143371,1 +96088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.134298872,1 +96089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.64243353,1 +96092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.036594404,1 +96091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.593772035,1 +96090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.829389924,1 +96093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.019075025,1 +96095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,8.690592207,1 +96094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.86178125,1 +96096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.891600363,1 +96097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.341242565,1 +96098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.416852448,1 +96100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.644117968,1 +96099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.750862122,1 +96101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.062353561,1 +96102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.109168531,1 +96104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.491786012,1 +96103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.423807707,1 +96105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.643871398,1 +96106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.865045792,1 +96107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.248113418,1 +96108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.791475716,1 +96110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.851907576,1 +96111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.249507699,1 +96109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.335056644,1 +96112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,7.186359455,1 +96113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.048551617,1 +96115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.18276253,1 +96114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.104049535,1 +96117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.869488181,1 +96118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.144267675,1 +96119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.97529301,1 +96120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.394256083,1 +96116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.130328084,1 +96121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.379116117,1 +96122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.127809636,1 +96123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.802285142,1 +96126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.895648361,1 +96125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.794623578,1 +96124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.079081613,1 +96127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.258770141,1 +96129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.531147153,1 +96130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.994803422,1 +96128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.74987508,1 +96131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.015426464,1 +96132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.186535513,1 +96134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,7.593301063,1 +96135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.217888619,1 +96136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.725195383,1 +96137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.235523897,1 +96138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.945000968,1 +96139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.752932788,1 +96133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.241882924,1 +96140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.305524063,1 +96143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.802991149,1 +96141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.860118986,1 +96142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.545603153,1 +96144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.852858172,1 +96145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.589368508,1 +96146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.843088718,1 +96147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,7.210309339,1 +96148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.755131546,1 +96149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.533342281,1 +96150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.135023401,1 +96151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.428082225,1 +96152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.322298399,1 +96154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.907996754,1 +96155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.827420216,1 +96156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.147934427,1 +96153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.146176536,1 +96157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.291610678,1 +96158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.338974209,1 +96160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.096110907,1 +96159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.102792856,1 +96161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.1285287,1 +96163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.359399119,1 +96162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.036673615,1 +96164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.694922347,1 +96165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.770233513,1 +96167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.234449862,1 +96166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.053355192,1 +96168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.778148627,1 +96169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.056879234,1 +96171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.396483947,1 +96170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.561698269,1 +96173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,7.016542677,1 +96172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.819828859,1 +96174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.585464095,1 +96175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.083193653,1 +96178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.107180182,1 +96176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.181780809,1 +96177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.012676316,1 +96179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.405334136,1 +96181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.385703517,1 +96180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.46515535,1 +96182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.625934325,1 +96183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.338068979,1 +96185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.499278041,1 +96184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.784854421,1 +96186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.778747173,1 +96187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.957365074,1 +96188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.413627355,1 +96189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,7.419823576,1 +96191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.919828602,1 +96190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.854515321,1 +96192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.831570185,1 +96193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.610581381,1 +96194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.600304092,1 +96195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.702307038,1 +96196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.1782437,1 +96197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.363848544,1 +96198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,7.605629254,1 +96200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.159432431,1 +96199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.29089158,1 +96201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.56217632,1 +96202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.202783963,1 +96203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.64034539,1 +96204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.353910285,1 +96206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.264644076,1 +96205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.4129298,1 +96207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.785819303,1 +96209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.93041427,1 +96210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.128900295,1 +96211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.268600095,1 +96212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.313392203,1 +96213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.743314397,1 +96208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.757426426,1 +96214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.145254749,1 +96215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.921877506,1 +96216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.071327734,1 +96218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.34147998,1 +96217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.902571387,1 +96220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.873377279,1 +96219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.305493156,1 +96223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.887988176,1 +96222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.996475835,1 +96221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.293474673,1 +96224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.474034769,1 +96225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.76068405,1 +96227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.505102387,1 +96228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.140385196,1 +96229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.850397645,1 +96230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.058184694,1 +96226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.218577002,1 +96231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.040665446,1 +96234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.577314449,1 +96235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.942037802,1 +96232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.893807026,1 +96233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.297315015,1 +96238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.468861718,1 +96236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.247905667,1 +96237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.330537956,1 +96239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.495224641,1 +96240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.986315847,1 +96241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.236070132,1 +96242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.545552649,1 +96243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.378200282,1 +96244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.575838494,1 +96246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.407734181,1 +96247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.278279447,1 +96245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,7.705475301,1 +96249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.612474075,1 +96250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.809929586,1 +96248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.869627249,1 +96251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.083660115,1 +96254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.588948769,1 +96252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.557277813,1 +96253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.675571969,1 +96255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.715466373,1 +96256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.131878033,1 +96257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.787114893,1 +96258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.25295745,1 +96259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.536212699,1 +96260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.80204557,1 +96262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.033799327,1 +96261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.56138273,1 +96266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.917207294,1 +96264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.022152828,1 +96265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.62576819,1 +96263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.828846859,1 +96268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.057675739,1 +96267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.945986364,1 +96270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.805126954,1 +96269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.678453544,1 +96272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.313938699,1 +96271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.69352141,1 +96274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.940529732,1 +96273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.887060919,1 +96275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.568251312,1 +96276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.504672859,1 +96277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.82409111,1 +96279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.07393286,1 +96278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.735265901,1 +96281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.711939774,1 +96280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.435168994,1 +96282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.166570479,1 +96283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.022580058,1 +96285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.990269357,1 +96284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.601014079,1 +96286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.190690118,1 +96287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.845235568,1 +96288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.437773238,1 +96289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.923902567,1 +96290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,7.184554986,1 +96292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.782109453,1 +96291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.51759406,1 +96293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.33497245,1 +96294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.121876026,1 +96297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.549619809,1 +96296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.178454824,1 +96295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.808627473,1 +96298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.319514593,1 +96300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.865140083,1 +96301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.194086157,1 +96299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.753571932,1 +96302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.880077582,1 +96304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.119136656,1 +96303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.27782438,1 +96305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.870262033,1 +96306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.725594336,1 +96307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.252716355,1 +96308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.637833782,1 +96309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.232602446,1 +96310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.188756228,1 +96312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.381200472,1 +96313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.367461597,1 +96311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.238830328,1 +96314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.53284648,1 +96317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.05592714,1 +96316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.779090826,1 +96315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.060176554,1 +96318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.507456973,1 +96320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,7.795705675,1 +96321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.867212166,1 +96319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.516238837,1 +96322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.833546665,1 +96325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.82873927,1 +96323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,7.517985464,1 +96326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.604083427,1 +96324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.742119196,1 +96327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.202277351,1 +96328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.520645288,1 +96329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.063797541,1 +96330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.722727225,1 +96331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.642912869,1 +96332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.647095407,1 +96333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.146971274,1 +96334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.285776787,1 +96336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.805809407,1 +96335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.161587199,1 +96337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.78725323,1 +96338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.646600365,1 +96339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.13530624,1 +96340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.847659821,1 +96341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.953684162,1 +96344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.289036441,1 +96342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.161227167,1 +96343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.607306281,1 +96345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.52330974,1 +96349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.707326763,1 +96346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.994825746,1 +96348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.917912874,1 +96350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.686666007,1 +96351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,7.912140404,1 +96352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.859748812,1 +96347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.405463334,1 +96354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.147928452,1 +96353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.671907637,1 +96355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.801144285,1 +96356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.479235055,1 +96357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.210085437,1 +96358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.735681599,1 +96359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.510197892,1 +96360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.114227997,1 +96361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.138429048,1 +96362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.677368257,1 +96363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.78040515,1 +96364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.647398527,1 +96365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.453653396,1 +96366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.547788118,1 +96367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.619337056,1 +96368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.769777441,1 +96369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.048702365,1 +96370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.816147437,1 +96371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.720002808,1 +96372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.025971525,1 +96373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.191033181,1 +96374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.375608893,1 +96375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.55220455,1 +96376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.802821874,1 +96377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.657793805,1 +96378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.994999758,1 +96379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.807196858,1 +96380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.349717173,1 +96381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.759818101,1 +96382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.089449656,1 +96384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.79612305,1 +96383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.998710933,1 +96385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.27217609,1 +96386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.318389766,1 +96388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.251072336,1 +96387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.520792126,1 +96389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.392459045,1 +96390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.589331723,1 +96391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.643276127,1 +96393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,7.305767536,1 +96394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.951628913,1 +96392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.520217629,1 +96395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.282261193,1 +96396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.348852792,1 +96397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.236133756,1 +96398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.823176642,1 +96400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.823518924,1 +96402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.984220944,1 +96399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.764099935,1 +96401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.602761335,1 +96403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.734154105,1 +96406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.908593602,1 +96404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.937353218,1 +96405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.512603374,1 +96407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.669056949,1 +96408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.221152749,1 +96409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.216776939,1 +96410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.677212976,1 +96411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.820568262,1 +96412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.677877343,1 +96413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.971580228,1 +96415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.664301378,1 +96416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.608874334,1 +96414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.397527291,1 +96417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.306195669,1 +96421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.191987652,1 +96420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.787552578,1 +96419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.442378858,1 +96418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.31881094,1 +96422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.122361837,1 +96423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,1.625414485,1 +96425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.18431108,1 +96424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.832936524,1 +96426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.002168483,1 +96428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.456248649,1 +96427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.292126364,1 +96429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.41476591,1 +96430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.691210534,1 +96431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.580689073,1 +96432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.917461893,1 +96434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.384540184,1 +96436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.868178674,1 +96433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.647885436,1 +96435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.770368559,1 +96438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.505163237,1 +96439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.546115261,1 +96440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.601143037,1 +96441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.608611104,1 +96442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.991109604,1 +96443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.605021635,1 +96437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.112896731,1 +96444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.782785628,1 +96445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.151715617,1 +96446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.408595584,1 +96447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.259298479,1 +96448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.714225029,1 +96450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.653465592,1 +96449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.966288702,1 +96451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.503763012,1 +96452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.579552025,1 +96453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.493353973,1 +96454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.004175917,1 +96455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.300597168,1 +96456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.249109421,1 +96457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.844164471,1 +96458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.576452945,1 +96460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.617656172,1 +96461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.923324225,1 +96462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.029983488,1 +96463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.893447907,1 +96459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.76367553,1 +96467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.324661366,1 +96464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.72256749,1 +96465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.593691881,1 +96466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.233840408,1 +96469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.249206427,1 +96470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.838996789,1 +96468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.442824434,1 +96471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.86565517,1 +96472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.511326778,1 +96473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.124303453,1 +96474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.147921543,1 +96475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.144287331,1 +96477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.481520798,1 +96476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.065443907,1 +96479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.968625461,1 +96480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.459335336,1 +96481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.953398665,1 +96482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.011563846,1 +96478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.091396718,1 +96484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.395517266,1 +96483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,7.945725258,1 +96485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,7.922436887,1 +96486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.438989183,1 +96488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.63393115,1 +96487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.299023314,1 +96489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.735826825,1 +96490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.101673782,1 +96491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.376358223,1 +96493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.062974462,1 +96492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.35570592,1 +96495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.246589831,1 +96497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.989333041,1 +96496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.51005624,1 +96494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.501954522,1 +96498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.624931611,1 +96499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.361557807,1 +96500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.179371751,1 +96501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.180143537,1 +96502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.731268899,1 +96503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.527850034,1 +96504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.385140462,1 +96506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.988911081,1 +96505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.043253553,1 +96507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.746367426,1 +96508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.677746594,1 +96510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.551341832,1 +96511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.943580702,1 +96509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.535517666,1 +96512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.816215766,1 +96513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.519305272,1 +96514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.681598559,1 +96515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.705862691,1 +96516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.623252439,1 +96517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.493003971,1 +96518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.0671272,1 +96519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.585070859,1 +96520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.734185964,1 +96521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.465060082,1 +96522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.88683797,1 +96523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.918445079,1 +96524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.956028455,1 +96526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.404689596,1 +96527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.184191738,1 +96528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.29533481,1 +96525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.559230843,1 +96529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.573849501,1 +96530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.211375816,1 +96531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.569757663,1 +96533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.76236175,1 +96535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.606273626,1 +96534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.915536292,1 +96532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.706734394,1 +96536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.985857243,1 +96537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.217073851,1 +96538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.856555531,1 +96540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.224801727,1 +96539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.905684113,1 +96541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.489985318,1 +96542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.723624465,1 +96543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.702148501,1 +96544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.311921315,1 +96545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.98804881,1 +96546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.710314546,1 +96547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.437025385,1 +96549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.572445811,1 +96551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.461042746,1 +96550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.856305408,1 +96548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.295732634,1 +96552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,7.459981417,1 +96554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.505687552,1 +96553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.79920137,1 +96555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.291113017,1 +96556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,8.275859745,1 +96558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.658462226,1 +96557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.484861759,1 +96559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.523120045,1 +96560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.729923982,1 +96561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.838081356,1 +96562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.617126841,1 +96563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.920011827,1 +96565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.82398344,1 +96564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.685255308,1 +96566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.587292113,1 +96568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.075746619,1 +96569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.635819033,1 +96570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.479663923,1 +96567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.544468344,1 +96572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.83653927,1 +96573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.589080092,1 +96571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.856952575,1 +96574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.863953577,1 +96576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.423771092,1 +96575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.668847445,1 +96577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.337584943,1 +96578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.776974399,1 +96580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.837189681,1 +96579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.974825248,1 +96581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.791357391,1 +96583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.184156605,1 +96584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.064027385,1 +96585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.171542121,1 +96582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.269318996,1 +96586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.018849457,1 +96588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.324325295,1 +96587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.492845925,1 +96589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.026484406,1 +96590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.386247814,1 +96591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.509308764,1 +96592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.350869377,1 +96593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.707531566,1 +96594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.044709479,1 +96595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.41051509,1 +96596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.439391938,1 +96598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.228007805,1 +96597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.266296518,1 +96600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.944695271,1 +96599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.739304463,1 +96601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.509167325,1 +96604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.183633666,1 +96603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.242943273,1 +96602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.266887037,1 +96605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.703069336,1 +96606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.149436767,1 +96608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.953382347,1 +96609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.316607792,1 +96607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.970074343,1 +96610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.482621017,1 +96611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.902122573,1 +96612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.323479339,1 +96614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.683852761,1 +96613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.92637283,1 +96615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.899855831,1 +96616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.79726697,1 +96618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.557505206,1 +96617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.674095527,1 +96619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.969002271,1 +96620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.548124775,1 +96622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.937347058,1 +96623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.177809819,1 +96624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.079798639,1 +96625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.618947776,1 +96626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.482725647,1 +96621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.727323402,1 +96627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.731542632,1 +96629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.327654554,1 +96628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.923119728,1 +96630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.445506566,1 +96631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.078933078,1 +96632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.285055539,1 +96633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.188598529,1 +96634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.597573712,1 +96635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.149075783,1 +96636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.506989839,1 +96637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.910181824,1 +96639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.688734545,1 +96640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.651108251,1 +96641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.997977625,1 +96642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.671445503,1 +96644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.30682319,1 +96643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.516708795,1 +96638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.605991088,1 +96645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.917023335,1 +96646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.700093153,1 +96647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.530886831,1 +96648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.531086306,1 +96651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.510847146,1 +96649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.35543827,1 +96650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.155304542,1 +96652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.078508287,1 +96653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.939928303,1 +96654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.588635054,1 +96655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.851318823,1 +96657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.04154722,1 +96656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.125529577,1 +96658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.73859116,1 +96659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.853938461,1 +96660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.250189827,1 +96662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.231686807,1 +96663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.822726062,1 +96661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.661673601,1 +96666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.557814657,1 +96665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.046324227,1 +96664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.370275021,1 +96667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.916753459,1 +96668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.663922053,1 +96669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.08597089,1 +96670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.14270284,1 +96671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,7.922171139,1 +96672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.411235269,1 +96673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.450659183,1 +96674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.787601542,1 +96676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,8.141740086,1 +96677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.832558414,1 +96678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.636230617,1 +96675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.094644921,1 +96679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.523443045,1 +96680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.396768457,1 +96681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.3524495,1 +96682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.20956455,1 +96683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.949896552,1 +96684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.559214141,1 +96685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.888595552,1 +96688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.342364805,1 +96686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.796566442,1 +96687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.581419279,1 +96689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.4935569,1 +96690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.466491692,1 +96691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.202877526,1 +96692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,7.215858641,1 +96693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.434641619,1 +96694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.610198029,1 +96696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.66585545,1 +96697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.306004774,1 +96698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.521939595,1 +96695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.709652966,1 +96699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.433817894,1 +96700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.441855765,1 +96701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.767821589,1 +96703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.604793512,1 +96704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.498192734,1 +96702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.20937814,1 +96705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,7.687230298,1 +96706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,8.178231846,1 +96707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.358281566,1 +96709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.467477944,1 +96708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.60060122,1 +96711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.53708439,1 +96710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.102341237,1 +96712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.996797977,1 +96713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.895323402,1 +96715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.604163562,1 +96714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.874543811,1 +96716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.825206147,1 +96718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.392690557,1 +96719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,7.677133199,1 +96720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.232160191,1 +96721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.345121369,1 +96722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.582294678,1 +96717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.064879729,1 +96723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.73770129,1 +96724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.631826491,1 +96725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.105665028,1 +96726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.410734472,1 +96727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.699999645,1 +96728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.804845035,1 +96729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.643855069,1 +96730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.686811635,1 +96731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.239648055,1 +96732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.200346874,1 +96733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,7.262007117,1 +96735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,7.498250499,1 +96734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.917200393,1 +96736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.886468159,1 +96737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.815549732,1 +96738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.273213911,1 +96740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.413109563,1 +96741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.199991422,1 +96739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.221824946,1 +96742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.851317299,1 +96743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.135611965,1 +96744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.277573809,1 +96745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.155156343,1 +96746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.971366995,1 +96747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.346034387,1 +96748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.639484375,1 +96750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.735219402,1 +96752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.612819731,1 +96751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.142753177,1 +96749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.804835204,1 +96753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.281839602,1 +96755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.189537704,1 +96756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.967110805,1 +96754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.889857719,1 +96757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.295893689,1 +96760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.195503357,1 +96758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.642425488,1 +96759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.13411263,1 +96761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.439371897,1 +96763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.507703616,1 +96762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.239162082,1 +96764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.388876378,1 +96765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.54326837,1 +96766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.011957948,1 +96767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.022389309,1 +96770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.358078746,1 +96769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.760077445,1 +96768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.140802256,1 +96771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.693076465,1 +96773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.548744891,1 +96772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.381594982,1 +96775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.65784019,1 +96776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.559059642,1 +96777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.433604583,1 +96774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.913187031,1 +96778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.116703269,1 +96780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.009996395,1 +96779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.260782468,1 +96781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.680991179,1 +96782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.026226057,1 +96783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.400489296,1 +96784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.61702539,1 +96785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.968828057,1 +96787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.896652514,1 +96786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.014955111,1 +96789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,7.353683067,1 +96788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,7.10303082,1 +96790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.979106103,1 +96791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.464202888,1 +96793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.68247169,1 +96794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.205123337,1 +96795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.510756584,1 +96796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.277777187,1 +96797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.23159667,1 +96798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,7.480213506,1 +96792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.098659576,1 +96799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.258578424,1 +96800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.493616844,1 +96801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.04840426,1 +96802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.115905134,1 +96804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.943067383,1 +96803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.69235357,1 +96805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.768469041,1 +96806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.934749298,1 +96807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.402010716,1 +96808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.16050266,1 +96809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.424825296,1 +96810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.679421856,1 +96811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.602033183,1 +96813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.432379282,1 +96812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.85750844,1 +96815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.607787001,1 +96817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.222440501,1 +96816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.758811345,1 +96814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.858682408,1 +96819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.571806352,1 +96818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,8.191806823,1 +96821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.202577648,1 +96820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.092414817,1 +96822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.762814487,1 +96823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.640008356,1 +96824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.602682489,1 +96825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.76872804,1 +96826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.569408576,1 +96827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.093824088,1 +96828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.942513113,1 +96829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.12033382,1 +96831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.519878538,1 +96832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.579939861,1 +96830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.183336043,1 +96834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.384607899,1 +96833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.870777379,1 +96836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.376732348,1 +96835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.244760807,1 +96837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.817383135,1 +96840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.179792681,1 +96839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.232077075,1 +96838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.979335775,1 +96841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.769985651,1 +96842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.740074509,1 +96843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.632771489,1 +96844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.603058359,1 +96845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.180997169,1 +96846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.009667926,1 +96848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.938407721,1 +96847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.670205086,1 +96849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.636552585,1 +96850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.594459803,1 +96852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.649829102,1 +96851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.86056856,1 +96853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.360665915,1 +96855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.647318528,1 +96854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.707109669,1 +96856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.769804371,1 +96857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.87274727,1 +96858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.886968849,1 +96859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,7.702731837,1 +96860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.801713111,1 +96861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.57578555,1 +96862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.11093194,1 +96863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.210597624,1 +96864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.856244221,1 +96865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.139450912,1 +96866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.035590906,1 +96867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.756624007,1 +96870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.94432424,1 +96869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.84513164,1 +96871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.398402831,1 +96868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.840476886,1 +96872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.115223182,1 +96873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.822356094,1 +96874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.294602529,1 +96875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.641918819,1 +96876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.933623465,1 +96877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.293408532,1 +96878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.271197497,1 +96879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.108357803,1 +96880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.504686627,1 +96881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.044460044,1 +96882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.199332052,1 +96884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.218900103,1 +96885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.199635815,1 +96886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.861026409,1 +96887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.772705654,1 +96888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,7.716055494,1 +96883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.841411027,1 +96889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.515012265,1 +96890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.178543099,1 +96891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.394915967,1 +96892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.222373383,1 +96893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.451028837,1 +96894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.985772072,1 +96896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,7.552577191,1 +96895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.851083689,1 +96897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.051972316,1 +96900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.601901735,1 +96898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,8.014945789,1 +96901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.876666584,1 +96902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.918922978,1 +96903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.15410209,1 +96904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.676685596,1 +96899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.109579566,1 +96905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.495334313,1 +96906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.23113068,1 +96907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.954884466,1 +96909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.317818832,1 +96908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.795568909,1 +96910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.586995362,1 +96912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.566373805,1 +96911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.993600242,1 +96913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.380010099,1 +96914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.919556859,1 +96915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.565433332,1 +96916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.781339134,1 +96917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.977058492,1 +96918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.850498204,1 +96919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.626660671,1 +96920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.314249284,1 +96922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.271417597,1 +96924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.186206878,1 +96923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.404771303,1 +96925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.444676509,1 +96921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.371885025,1 +96927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.092829397,1 +96929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.096227284,1 +96926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.686232852,1 +96928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.383066709,1 +96930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.195618159,1 +96931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.627005121,1 +96932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.701847384,1 +96933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.431723023,1 +96934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.719096003,1 +96936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.837532046,1 +96937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.43400395,1 +96935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.822077222,1 +96938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.431158448,1 +96939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.496554286,1 +96940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.932043256,1 +96941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.294580937,1 +96942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.523773112,1 +96943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.794861471,1 +96944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.458553219,1 +96945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.947089498,1 +96946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.359274309,1 +96947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.3742182,1 +96948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.48557229,1 +96950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.345981978,1 +96952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.119925621,1 +96951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.304841423,1 +96949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.556730836,1 +96954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.242427157,1 +96953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.927893962,1 +96955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.645300052,1 +96956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.559251706,1 +96957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.297565564,1 +96958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.434896046,1 +96959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.550826327,1 +96960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.554288424,1 +96961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.390040618,1 +96963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.738784407,1 +96962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.716548245,1 +96964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.814823144,1 +96965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.650804871,1 +96966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.652964321,1 +96967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.362075892,1 +96968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.166453926,1 +96969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.858986888,1 +96970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.966432442,1 +96971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.058328253,1 +96973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.610033304,1 +96974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,7.495570862,1 +96975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.215982571,1 +96976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.694995074,1 +96972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,2.419433533,1 +96978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.104231752,1 +96977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,0.68958813,1 +96982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.677464751,1 +96981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.339621392,1 +96980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.346920893,1 +96979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.936643402,1 +96983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.10173008,1 +96984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.113983814,1 +96985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.41439397,1 +96986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.118505746,1 +96989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.779201392,1 +96988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.034846171,1 +96987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.554232689,1 +96991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.792279327,1 +96990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.756366727,1 +96992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.908607244,1 +96993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,6.433860483,1 +96994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.500388979,1 +96996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,3.774068877,1 +96997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.805735816,1 +96998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.551520533,1 +96999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.837297669,1 +97000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,5.301612511,1 +96995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,7,1,4.864877369,1 +106001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.915669999,1 +106003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.079082406,1 +106004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.903785856,1 +106002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.238605822,1 +106005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.229904789,1 +106007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.851092323,1 +106006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.83760884,1 +106009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.380701497,1 +106008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,1.874302549,1 +106010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.478220678,1 +106012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.386628585,1 +106011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.451289303,1 +106013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.275102592,1 +106014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.365345168,1 +106016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.488065001,1 +106017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,8.099215578,1 +106015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.114806479,1 +106018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.812933744,1 +106019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.976029766,1 +106020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.852584247,1 +106021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.595068095,1 +106022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.599047864,1 +106023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.821042805,1 +106025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.152315422,1 +106026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.094095705,1 +106024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.348942908,1 +106027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.054725292,1 +106028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.899505077,1 +106030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.326882803,1 +106029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.815220431,1 +106031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.147439422,1 +106032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.337603935,1 +106034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.70638316,1 +106033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.383015381,1 +106035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.091079469,1 +106036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.318202159,1 +106037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.857736805,1 +106039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.592455505,1 +106040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.695025956,1 +106038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.047815501,1 +106041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.387721994,1 +106042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.907872361,1 +106043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.584327602,1 +106044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.626468718,1 +106045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.859969095,1 +106046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.932547225,1 +106047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.420252342,1 +106048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.316203379,1 +106050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.99283924,1 +106049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.195347442,1 +106051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.846855128,1 +106052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.351942506,1 +106054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.475407821,1 +106055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.53833187,1 +106053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.187117323,1 +106057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.302503392,1 +106059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.807369411,1 +106056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.673039094,1 +106058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.421643592,1 +106060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.454442591,1 +106061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.262624387,1 +106063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.339281981,1 +106062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.74832418,1 +106064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.542830047,1 +106065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.525018594,1 +106067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.878796357,1 +106066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.727424891,1 +106068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.521600115,1 +106069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.777886125,1 +106071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.679900093,1 +106070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.217751425,1 +106072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.551509347,1 +106073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.120078875,1 +106074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.976758285,1 +106075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.837123349,1 +106076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.402967694,1 +106077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.180353076,1 +106078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.826183844,1 +106079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.951479338,1 +106080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.624673384,1 +106081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.911806834,1 +106082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.32550134,1 +106083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.733742803,1 +106084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.289877222,1 +106085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.745511418,1 +106086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.463091528,1 +106087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.779206329,1 +106090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,1.561410284,1 +106089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.470361676,1 +106088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.775976277,1 +106093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.319301993,1 +106091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.054664814,1 +106094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.199124204,1 +106092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.021006049,1 +106095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.98492725,1 +106096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.726991624,1 +106097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.233142505,1 +106098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.014295542,1 +106099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.185682643,1 +106100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.109279013,1 +106101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.563944631,1 +106102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.869488407,1 +106103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.648385836,1 +106104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.660236289,1 +106105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,8.632390904,1 +106106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.160903719,1 +106108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.802788528,1 +106107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.221055302,1 +106109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.327028621,1 +106110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.952442065,1 +106111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.308637462,1 +106113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.761171865,1 +106112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.014901958,1 +106114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.069964717,1 +106115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.514689884,1 +106116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.962236294,1 +106117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.875386596,1 +106118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.162934372,1 +106119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.297757469,1 +106120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.669015827,1 +106121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.368641903,1 +106123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.081464634,1 +106125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.818338291,1 +106124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.753856787,1 +106122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.614905844,1 +106126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.538743307,1 +106128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.429228202,1 +106129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.038106554,1 +106127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.763077915,1 +106131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.42940665,1 +106130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.269893812,1 +106132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.073570005,1 +106133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.410256886,1 +106135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.370024954,1 +106134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.751420489,1 +106138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.100501139,1 +106137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.833596479,1 +106139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.817244231,1 +106136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.624550233,1 +106141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.703026727,1 +106140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.214355749,1 +106143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.762128193,1 +106142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.194587529,1 +106146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.655383094,1 +106144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.436733203,1 +106145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.127324637,1 +106147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.217477077,1 +106148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.558888109,1 +106149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.645111017,1 +106150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.211045891,1 +106151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.940424733,1 +106152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.702703069,1 +106153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.682239894,1 +106154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.82214433,1 +106156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.859373444,1 +106155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.568414237,1 +106157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.932415201,1 +106158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.838368794,1 +106160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.240159514,1 +106159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.257139292,1 +106162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.705784858,1 +106161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.585453317,1 +106164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.965443841,1 +106163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.023344775,1 +106166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.867320926,1 +106165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.110278712,1 +106167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.273978233,1 +106168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.150147367,1 +106169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.735557662,1 +106171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.277764447,1 +106172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.190078396,1 +106170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.013045592,1 +106173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.987763938,1 +106174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.551847969,1 +106175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.990793454,1 +106176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.866452039,1 +106177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.504766741,1 +106178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.810551567,1 +106180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.45812122,1 +106179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.093772325,1 +106181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.710080611,1 +106184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.181149615,1 +106182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.378812429,1 +106183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.40753029,1 +106185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.09995728,1 +106186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.992890179,1 +106187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.435731421,1 +106188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.673231585,1 +106189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.446231503,1 +106190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.347705533,1 +106191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.336681019,1 +106192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.416071782,1 +106193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.557430541,1 +106194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.899600281,1 +106195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.827615127,1 +106197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.812646937,1 +106196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.180813749,1 +106199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.988868113,1 +106201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.805268816,1 +106198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.859934398,1 +106200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.803982066,1 +106205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.274640453,1 +106204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.645228929,1 +106202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.844224072,1 +106203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.721087476,1 +106208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.430796289,1 +106207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.058050795,1 +106206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.609335011,1 +106211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,8.8381434,1 +106212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.104443296,1 +106210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.273575455,1 +106209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.058196057,1 +106215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.326355339,1 +106216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.66719119,1 +106213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.888039908,1 +106214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.240161315,1 +106218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.526396556,1 +106217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.992037019,1 +106219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.743620205,1 +106220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.840613548,1 +106222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.857801414,1 +106223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.587401786,1 +106224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.361326705,1 +106225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.51602891,1 +106221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.70078572,1 +106226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.201658912,1 +106227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.587824586,1 +106228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.975575017,1 +106229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.369859571,1 +106230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.817591748,1 +106231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.688762041,1 +106232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.169205578,1 +106233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.36541727,1 +106234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.925891207,1 +106235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.078107425,1 +106238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.528201421,1 +106236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.575310289,1 +106237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.870223528,1 +106239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.388071359,1 +106240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.255768137,1 +106241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.538706541,1 +106242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.756854478,1 +106245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.237985501,1 +106243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.101581071,1 +106244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.034110646,1 +106247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.287010629,1 +106246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.260906329,1 +106248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.083360521,1 +106249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.056962207,1 +106252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.220894308,1 +106251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.688065777,1 +106250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.758190833,1 +106253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.18625468,1 +106255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.600150546,1 +106256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.828579738,1 +106257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.051096147,1 +106254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.499371159,1 +106258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.81302652,1 +106260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.113329417,1 +106259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.759895641,1 +106261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.119341071,1 +106262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.985381331,1 +106263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.153251967,1 +106264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.717630241,1 +106265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.927174845,1 +106266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.368927352,1 +106268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.406717467,1 +106267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.568221962,1 +106269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.638450491,1 +106270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.298608338,1 +106273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.646087379,1 +106271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.512283977,1 +106274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.098697778,1 +106272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.723223112,1 +106275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.930934995,1 +106277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.228737358,1 +106276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.428920325,1 +106278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.624093232,1 +106280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.623982834,1 +106279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.155721527,1 +106282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.971497735,1 +106281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.704162824,1 +106283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.492933122,1 +106284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.474763365,1 +106286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.786389381,1 +106285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.370795258,1 +106288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.362326754,1 +106287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.726938371,1 +106290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.905695103,1 +106289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.102819354,1 +106291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.041694038,1 +106292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.911419544,1 +106294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.486989778,1 +106293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.817257812,1 +106296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.750724212,1 +106295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.464076115,1 +106297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.823683619,1 +106298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.708763901,1 +106300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.818186835,1 +106299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.661154462,1 +106301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.20017274,1 +106303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.158610871,1 +106304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.442257,1 +106302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.306485262,1 +106305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.155683556,1 +106306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.216652687,1 +106308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.038996306,1 +106307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.884745289,1 +106309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.078692727,1 +106310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.318678234,1 +106312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.511374516,1 +106313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.194266252,1 +106311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.392527316,1 +106315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.082324834,1 +106314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.531330196,1 +106316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.583470378,1 +106317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.48758192,1 +106319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.331988399,1 +106318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.713605737,1 +106320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.983219162,1 +106321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.654927867,1 +106322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.96269718,1 +106324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.574931754,1 +106323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.034783941,1 +106326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.309249628,1 +106325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.945817439,1 +106328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.101589002,1 +106327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.979707507,1 +106329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.045901279,1 +106330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.971889755,1 +106331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.744791058,1 +106332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.827021547,1 +106333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.016009678,1 +106335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.872140026,1 +106336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.671646023,1 +106334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.951928823,1 +106337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.632990611,1 +106338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.842724298,1 +106339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.06784474,1 +106340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.567186745,1 +106341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.671655916,1 +106343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.879035119,1 +106342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.931445324,1 +106344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.813000472,1 +106345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.990099632,1 +106347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.527121328,1 +106346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.577527672,1 +106348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.738346276,1 +106350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.047094753,1 +106349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.249868873,1 +106351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.847284176,1 +106352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.381053245,1 +106353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.663224757,1 +106355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.760534237,1 +106354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.136738523,1 +106357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.5614993,1 +106356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.541710842,1 +106358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.438294088,1 +106359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,8.369025074,1 +106361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.82717192,1 +106363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.073064051,1 +106362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.437787365,1 +106364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.127598343,1 +106360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.671820521,1 +106366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.090278623,1 +106365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.043461596,1 +106368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.881511649,1 +106367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.373360036,1 +106369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.591712958,1 +106370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.110515262,1 +106371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.79164957,1 +106372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.191271158,1 +106373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.3093669,1 +106374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.089528533,1 +106375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.485053771,1 +106376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.94333607,1 +106377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.503477014,1 +106378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.130452607,1 +106379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.545051154,1 +106382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.045460117,1 +106380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.432015643,1 +106381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.664173873,1 +106384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.569960725,1 +106386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.786506572,1 +106383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.926396214,1 +106385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.608801414,1 +106387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.256539081,1 +106388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.141588328,1 +106389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.753214162,1 +106390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.619162633,1 +106393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.108948506,1 +106391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.590100511,1 +106392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.009347443,1 +106394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.99425351,1 +106396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.598194087,1 +106395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.26638901,1 +106397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.087018474,1 +106398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.446115591,1 +106400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.510024337,1 +106399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.504514494,1 +106401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.217271095,1 +106402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.474442313,1 +106403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.734289877,1 +106404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.923466393,1 +106405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.00875818,1 +106407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.078094956,1 +106408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.407653957,1 +106406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.191206243,1 +106409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.798163917,1 +106410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.152876679,1 +106411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.957938702,1 +106413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.876394607,1 +106412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.129464601,1 +106414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.685095629,1 +106415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.689162548,1 +106416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.427648312,1 +106417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.281009755,1 +106418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.592796686,1 +106421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.742136749,1 +106420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.357736769,1 +106419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.318981627,1 +106422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.885928516,1 +106424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.090418724,1 +106423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.644039461,1 +106425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.668630361,1 +106426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.153300933,1 +106427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.265023118,1 +106428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.673022337,1 +106430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.371214472,1 +106429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.459291919,1 +106431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.76570136,1 +106432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.019429042,1 +106433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.009050958,1 +106434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.060347738,1 +106435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.65744382,1 +106436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.174400545,1 +106437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.587439803,1 +106439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.706042014,1 +106438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.253815469,1 +106441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.966416196,1 +106442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.370280569,1 +106440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.033451954,1 +106443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.187878207,1 +106444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.250386602,1 +106446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.031704407,1 +106445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.063399052,1 +106447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.698083656,1 +106448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.983241733,1 +106449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.315952543,1 +106450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.562194762,1 +106451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.989770964,1 +106452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.777508471,1 +106454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.701848463,1 +106455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.901985772,1 +106453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.17174473,1 +106456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.948148789,1 +106458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.376101434,1 +106459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.400816539,1 +106460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.92717005,1 +106457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.031446565,1 +106461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.368968487,1 +106463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.19092312,1 +106462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,1.81236745,1 +106464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.549046084,1 +106465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.168087618,1 +106466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.453226283,1 +106467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.243993714,1 +106468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.312515021,1 +106469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.321440307,1 +106470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.697901934,1 +106471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.872799739,1 +106472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.695760679,1 +106473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.830885959,1 +106475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.081756505,1 +106477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.250960492,1 +106474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.422249626,1 +106476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.877352168,1 +106478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.307291889,1 +106479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.037204154,1 +106480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.547110305,1 +106481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.744287027,1 +106482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.75344599,1 +106483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.558115151,1 +106484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.838044629,1 +106485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.451137586,1 +106486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.24130629,1 +106487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.937817228,1 +106488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.457940974,1 +106489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.03214188,1 +106490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.674961842,1 +106492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.640351392,1 +106493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.06833076,1 +106494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.769100671,1 +106491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.288110123,1 +106495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.15390846,1 +106497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.588562771,1 +106498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.483995778,1 +106496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.010009188,1 +106499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.706907375,1 +106500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.640261047,1 +106501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.7238783,1 +106502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.437000814,1 +106503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.789738895,1 +106504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.31472601,1 +106505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.971931928,1 +106506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.32105986,1 +106507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.596194014,1 +106509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.625968237,1 +106510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.864303074,1 +106508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.920131805,1 +106512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,8.56911388,1 +106511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.680503214,1 +106514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.727074219,1 +106513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.415493637,1 +106515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.151328334,1 +106516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.513430176,1 +106517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.503792733,1 +106518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.512262924,1 +106519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.363978183,1 +106521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.595057598,1 +106520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.587044157,1 +106522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.619611864,1 +106523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.671367943,1 +106525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.593178081,1 +106524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.132654252,1 +106528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.304012487,1 +106526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.824113455,1 +106527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.121578301,1 +106529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.869879549,1 +106531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.887864862,1 +106532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.388205881,1 +106533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.675611621,1 +106530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.983340887,1 +106534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.035906828,1 +106535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.527542818,1 +106536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.512986001,1 +106537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.965067586,1 +106539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.601354609,1 +106540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.350223949,1 +106541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.836863992,1 +106538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.422167125,1 +106542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.540568846,1 +106543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.375863434,1 +106544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.93503399,1 +106545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.125903279,1 +106548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.516282738,1 +106549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.738908073,1 +106546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.520752355,1 +106547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.64219069,1 +106550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.811474262,1 +106553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.497386059,1 +106552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.841872595,1 +106551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.072135105,1 +106554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.30412283,1 +106555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.858133583,1 +106556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.61732011,1 +106557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,1.205495799,1 +106558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.23799989,1 +106559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.941226335,1 +106560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.268169791,1 +106563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.547904367,1 +106561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.499070966,1 +106562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.805316066,1 +106564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.598301165,1 +106565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.526350404,1 +106566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.789579252,1 +106568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.198713154,1 +106567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.628847907,1 +106570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.362548468,1 +106572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.106238565,1 +106571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.915958708,1 +106569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.273745503,1 +106573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.072041837,1 +106574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.854143759,1 +106575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.775660563,1 +106576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.397869411,1 +106577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.012902365,1 +106578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.452718697,1 +106580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.374075174,1 +106579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.216796973,1 +106581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.5614222,1 +106582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.549195168,1 +106583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.126548939,1 +106584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.200168237,1 +106585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.644978525,1 +106586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.085755176,1 +106588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.170685673,1 +106587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.636606184,1 +106589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.782197836,1 +106590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.911887734,1 +106591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.978217169,1 +106592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.107472391,1 +106593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.998767363,1 +106594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.732147941,1 +106595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.248340443,1 +106596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.423451193,1 +106597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.621331518,1 +106598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,1.674886207,1 +106599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.119765871,1 +106600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.781938555,1 +106601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.410741202,1 +106602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.751699871,1 +106604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.599361226,1 +106605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.348355813,1 +106606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.014105527,1 +106603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.529841093,1 +106607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.666289381,1 +106609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.314489109,1 +106608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.732572389,1 +106610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.393702252,1 +106612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.874912422,1 +106611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.94793922,1 +106614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.58275642,1 +106613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.525995487,1 +106615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.987404876,1 +106616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.483866133,1 +106617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.538197902,1 +106618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.992121408,1 +106620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.596285219,1 +106619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.398844627,1 +106622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.473507506,1 +106623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.917704574,1 +106621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.848966398,1 +106624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.065898657,1 +106625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.256070582,1 +106628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.067873143,1 +106626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.002207947,1 +106627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.29657296,1 +106630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.711798,1 +106629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.568077359,1 +106631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.76612572,1 +106632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.73741261,1 +106633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.435393094,1 +106634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.987482161,1 +106635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.981032269,1 +106636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.1520172,1 +106638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.115893464,1 +106640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.727792426,1 +106639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.326669056,1 +106637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.306004696,1 +106641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.326476234,1 +106642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.670696613,1 +106643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.045611403,1 +106644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.504587606,1 +106645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.526787904,1 +106646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.282786823,1 +106647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.122617231,1 +106649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.265281427,1 +106648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.232930701,1 +106651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.156546156,1 +106650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.977582692,1 +106653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.016769375,1 +106652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.254811881,1 +106654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.078010049,1 +106656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.497483526,1 +106657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.792953018,1 +106655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.884363408,1 +106659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.711577463,1 +106658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.06629914,1 +106660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.463737992,1 +106661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.209015445,1 +106662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.280041352,1 +106663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.020159462,1 +106664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.602261995,1 +106665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.883079738,1 +106667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.074991423,1 +106666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.353199486,1 +106668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.892425711,1 +106671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.83776136,1 +106670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.582147483,1 +106672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.590392594,1 +106669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.001643605,1 +106676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.873688163,1 +106673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.348193472,1 +106675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.40184476,1 +106674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.285227074,1 +106678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.649570535,1 +106677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.19095456,1 +106679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.181437534,1 +106681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.331729986,1 +106680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.310238241,1 +106682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.630145443,1 +106683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.541860702,1 +106684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.30950587,1 +106685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.646869912,1 +106687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.731861576,1 +106686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.78941113,1 +106688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.336796212,1 +106689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.222146864,1 +106690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.34669829,1 +106691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.475371843,1 +106693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.890211114,1 +106692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.230046679,1 +106696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.000035403,1 +106694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.755644323,1 +106695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.301252257,1 +106698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.366004005,1 +106697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.249704522,1 +106699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.836154655,1 +106700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.305387344,1 +106701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.289915075,1 +106702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.814094841,1 +106703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.752761096,1 +106704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.977200049,1 +106705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.496657223,1 +106706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.698242813,1 +106707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.794417438,1 +106708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.883414732,1 +106709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.351806077,1 +106710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.78202378,1 +106711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.772762204,1 +106712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.973060718,1 +106714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.860517247,1 +106713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.142178387,1 +106715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.44629535,1 +106717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.19867841,1 +106716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.6537992,1 +106718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.514603997,1 +106720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.020996892,1 +106719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.793827836,1 +106722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.328876251,1 +106721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.359763936,1 +106723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.556879362,1 +106724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.014261866,1 +106726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.211547152,1 +106725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.018366763,1 +106728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.205031194,1 +106727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.591299771,1 +106730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.917245768,1 +106732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.950795859,1 +106729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.766197955,1 +106731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.207041542,1 +106733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.114859248,1 +106734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.356377679,1 +106737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.739796883,1 +106738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.623555666,1 +106735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.571322019,1 +106736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.802037477,1 +106739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.081694481,1 +106740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.795830572,1 +106742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.538931191,1 +106741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.633106719,1 +106746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.514033817,1 +106745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.286965014,1 +106744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.299876513,1 +106747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.335344352,1 +106743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.041662765,1 +106748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.909227842,1 +106749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.042479564,1 +106751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.445088522,1 +106752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.722051545,1 +106750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.508901807,1 +106754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.344429115,1 +106753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.30315321,1 +106755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.569212011,1 +106756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.166198525,1 +106757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.434397545,1 +106758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.956194749,1 +106759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.832684308,1 +106761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.448197462,1 +106760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.624314588,1 +106762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.366025363,1 +106763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.207172822,1 +106765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.81526759,1 +106767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.29839028,1 +106764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.980762845,1 +106766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.587115976,1 +106770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.090718588,1 +106769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.567451951,1 +106768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.423298614,1 +106771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.389338891,1 +106773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.213052986,1 +106772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.703386574,1 +106774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.432341616,1 +106775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.106815014,1 +106776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.811757051,1 +106777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.642244193,1 +106778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.65792209,1 +106779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.673083539,1 +106780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.243643813,1 +106781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.013928409,1 +106782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.518742855,1 +106783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.526919675,1 +106784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.514173153,1 +106785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.196025173,1 +106787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.284606808,1 +106786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.527255023,1 +106788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.251190492,1 +106789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.49098548,1 +106790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.284152166,1 +106792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.908852389,1 +106791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.643721055,1 +106793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.366995625,1 +106794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.393101762,1 +106795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.516859619,1 +106796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.389113275,1 +106797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.956016812,1 +106798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.948826906,1 +106799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.543863611,1 +106800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.326482903,1 +106801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.365844123,1 +106803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.72768832,1 +106805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.989744238,1 +106804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,1.823918363,1 +106802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.517096892,1 +106806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.980218825,1 +106807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.480936021,1 +106808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.434398438,1 +106810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.142755927,1 +106809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.132119008,1 +106811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.125892424,1 +106812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.062881592,1 +106813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.714916252,1 +106814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.325667092,1 +106815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.382534328,1 +106816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.803215018,1 +106817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.688388201,1 +106818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.031246665,1 +106820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.26390511,1 +106822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.62803751,1 +106819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.124693083,1 +106821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.917017699,1 +106823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.38057001,1 +106825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.549652975,1 +106824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.708920871,1 +106826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.934726748,1 +106827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.52968363,1 +106828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.67780436,1 +106830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.875692573,1 +106829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.996420536,1 +106832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.83889915,1 +106831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.719150171,1 +106834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.772337194,1 +106833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.847115168,1 +106835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.046007053,1 +106838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.065856148,1 +106836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.575541165,1 +106837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.377094971,1 +106841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.124670506,1 +106842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.888518862,1 +106839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.842448952,1 +106840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.872054805,1 +106843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.428898172,1 +106844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.880787921,1 +106846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.095925339,1 +106845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.958273863,1 +106849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.410931177,1 +106847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.900084097,1 +106848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.416868023,1 +106850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.065738208,1 +106851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.903695293,1 +106853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.671452771,1 +106854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.369628078,1 +106852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.486105732,1 +106856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.4384852,1 +106858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.004041321,1 +106855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.011045801,1 +106857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.500396426,1 +106860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.490422703,1 +106862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.851328505,1 +106861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.296658633,1 +106859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.535065022,1 +106865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.010555458,1 +106864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.122321545,1 +106866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.050177033,1 +106863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.459676022,1 +106867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.569135855,1 +106868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.86800157,1 +106870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.629851385,1 +106869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.963720319,1 +106871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.16084951,1 +106872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.950416853,1 +106873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.682766328,1 +106874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.821973594,1 +106875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.010557489,1 +106876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.808433613,1 +106877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.513165371,1 +106878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.530319489,1 +106879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.376316113,1 +106880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.031690922,1 +106881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.766370162,1 +106883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.437596797,1 +106882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.673097651,1 +106884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.311921314,1 +106885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.968935114,1 +106886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.292853251,1 +106887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.899110376,1 +106888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.584295751,1 +106889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.771131128,1 +106890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.155785126,1 +106891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.569814605,1 +106893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.268266913,1 +106892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.323411456,1 +106894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.939401807,1 +106897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.943564887,1 +106895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.668091601,1 +106896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.826808418,1 +106898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.790413838,1 +106901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.387372977,1 +106899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.536456299,1 +106900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.456703022,1 +106902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.102403384,1 +106903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.618979951,1 +106904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.056212568,1 +106905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.586850003,1 +106906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.076390862,1 +106908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.307363513,1 +106907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.504368509,1 +106909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.812931676,1 +106912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.628077921,1 +106910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.540202564,1 +106911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.826009461,1 +106915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.692655455,1 +106913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.888672927,1 +106916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,8.001959854,1 +106914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.296437251,1 +106917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.982790788,1 +106918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.435994787,1 +106919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.946264726,1 +106920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.625312765,1 +106921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.382530157,1 +106922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.939089609,1 +106923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.323816194,1 +106924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.181653961,1 +106925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.436314582,1 +106926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.080226236,1 +106928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.813640684,1 +106927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.356524031,1 +106929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,1.264087641,1 +106932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.79617947,1 +106931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.215801761,1 +106930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.554762559,1 +106933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.837867077,1 +106934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.74914043,1 +106935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.623117195,1 +106936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.905788871,1 +106937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.340503569,1 +106938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.626712702,1 +106940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.41409929,1 +106939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.611526987,1 +106941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.046796506,1 +106942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.937860989,1 +106943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.945900389,1 +106944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.868410962,1 +106945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.576271938,1 +106946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.854605174,1 +106947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.26870014,1 +106948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.037156684,1 +106949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.962113617,1 +106950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.867008118,1 +106951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.795732083,1 +106953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.385401349,1 +106952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.349418577,1 +106954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.006194058,1 +106955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.060912835,1 +106956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.165343929,1 +106958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.786123656,1 +106957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.230531065,1 +106959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.181911385,1 +106960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.742749673,1 +106961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.273662593,1 +106963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.866142673,1 +106962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.393198857,1 +106964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.137052993,1 +106966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.532903326,1 +106965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.634265971,1 +106967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.819299787,1 +106968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.390971648,1 +106970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.114449899,1 +106971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.971755599,1 +106969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.328573355,1 +106972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.75530537,1 +106973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.197442136,1 +106977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.360016478,1 +106976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.261174222,1 +106975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.614903669,1 +106974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.005690278,1 +106978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.65172205,1 +106979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.800344398,1 +106980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.275724959,1 +106981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.489747137,1 +106983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.852170565,1 +106984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.100707062,1 +106982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.261366147,1 +106985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.893998618,1 +106987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.288316143,1 +106986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.98388799,1 +106988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.007521479,1 +106989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.966292539,1 +106990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.941397229,1 +106991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.859150622,1 +106992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,3.412956927,1 +106994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,2.508696087,1 +106995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.131368032,1 +106996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,7.320880302,1 +106993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.333930174,1 +106997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.708960028,1 +106998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,4.421337588,1 +106999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,5.62010705,1 +107000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,7,1,6.561190732,1 +116001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.983101642,1 +116002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,7.045784416,1 +116004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.005277404,1 +116005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.832514238,1 +116006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.966495659,1 +116007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.80001365,1 +116008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.549769911,1 +116003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.582347077,1 +116009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.570327079,1 +116012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.183739905,1 +116010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.925149862,1 +116011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.863902329,1 +116013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.191876702,1 +116014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.184468108,1 +116015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.803524606,1 +116016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.784070821,1 +116017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.802684188,1 +116019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,8.462933425,1 +116020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.752030998,1 +116018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.633049076,1 +116021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.407809213,1 +116022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.354991149,1 +116023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.583041942,1 +116025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.622093888,1 +116026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,7.230281172,1 +116024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.107361523,1 +116027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.516961102,1 +116028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.492121911,1 +116029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.90239969,1 +116031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.2697547,1 +116030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.794873709,1 +116032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.142210957,1 +116033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.345461055,1 +116034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.656062701,1 +116036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.46334997,1 +116035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.579967229,1 +116037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.14372943,1 +116038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.603830953,1 +116039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.429830182,1 +116040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.547311568,1 +116041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.625728287,1 +116042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.967641997,1 +116044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.193284172,1 +116043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.825911978,1 +116045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.564162487,1 +116046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.044403255,1 +116047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.212007484,1 +116048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.50537899,1 +116050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.304541155,1 +116049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.287312493,1 +116051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.80804623,1 +116052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.424165798,1 +116054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.649884195,1 +116053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.561219424,1 +116056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.667652083,1 +116057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.903230892,1 +116058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.644523428,1 +116055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.229701899,1 +116061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.652140954,1 +116060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.286318286,1 +116062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.865689498,1 +116063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.263323068,1 +116064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.616375538,1 +116059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.364752664,1 +116065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.622549016,1 +116066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.15235979,1 +116067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.86691,1 +116069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.416467213,1 +116068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.502501532,1 +116071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.523688284,1 +116073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.71982851,1 +116070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.908425798,1 +116072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.71839578,1 +116074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.822866503,1 +116075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.033083598,1 +116076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,7.416662384,1 +116078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.959046722,1 +116077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.212915117,1 +116080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.313825743,1 +116081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.455938647,1 +116082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.725505853,1 +116083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.344854474,1 +116079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.824516798,1 +116085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.168834073,1 +116084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.830743706,1 +116087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.587151119,1 +116086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.782060918,1 +116090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.482302359,1 +116089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.172168266,1 +116088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.681984666,1 +116091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.135116095,1 +116092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.910250127,1 +116094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.064405991,1 +116093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.74955349,1 +116095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.726525276,1 +116098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.697439511,1 +116097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.107966105,1 +116099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.055936679,1 +116096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.712253202,1 +116101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.619640223,1 +116100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.208695708,1 +116102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.465462868,1 +116103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.334350967,1 +116104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.25792234,1 +116105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.118258376,1 +116106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.823472796,1 +116107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.969619199,1 +116109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.502510777,1 +116108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.009102455,1 +116110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.097194966,1 +116111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.668001995,1 +116112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.837185183,1 +116114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.09340271,1 +116113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.666987155,1 +116115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.152654761,1 +116116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.200990139,1 +116117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.190721972,1 +116118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.362883481,1 +116119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.039561074,1 +116120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.797938941,1 +116121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.186943669,1 +116123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.537875694,1 +116122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.416361807,1 +116124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.208163321,1 +116125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.34612867,1 +116126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.327890458,1 +116128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.002966777,1 +116127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.240959709,1 +116129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.665139796,1 +116130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.350098406,1 +116131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.57599392,1 +116132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.711598473,1 +116133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,1.643226353,1 +116134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.587856379,1 +116135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.666116639,1 +116137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.921994321,1 +116138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.907651837,1 +116139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.228085037,1 +116136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.824807674,1 +116140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.634866709,1 +116141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.049422282,1 +116142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.189727032,1 +116144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.520891284,1 +116145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.639770137,1 +116146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.877458303,1 +116143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.189461538,1 +116147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.844812214,1 +116149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.392289038,1 +116148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.947396009,1 +116150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.775602412,1 +116151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.087701072,1 +116153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.261865464,1 +116152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.73071617,1 +116155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.605002597,1 +116157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.51116632,1 +116156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.837537729,1 +116158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.446296409,1 +116159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.379999349,1 +116154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.50893539,1 +116160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.572462557,1 +116164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.698517698,1 +116161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.93108904,1 +116163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.404203513,1 +116162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.746921126,1 +116165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.625381003,1 +116167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.398551388,1 +116166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.159662339,1 +116168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.865380041,1 +116170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.104911371,1 +116171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.567131154,1 +116169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.878452408,1 +116172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.232043054,1 +116174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.914195809,1 +116173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.969937868,1 +116176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.914020844,1 +116175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.630766389,1 +116178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,7.430537153,1 +116177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.025804269,1 +116179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.644024911,1 +116181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.279755368,1 +116180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.170759108,1 +116182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.531620263,1 +116183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.986779343,1 +116184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.897448359,1 +116185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.767507659,1 +116186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.509737029,1 +116187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.64290982,1 +116188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.441849747,1 +116189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.980584722,1 +116190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.643566371,1 +116191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.142894582,1 +116192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.866358434,1 +116194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.045121821,1 +116195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.739225631,1 +116193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.167474289,1 +116196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.639006586,1 +116197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.604864376,1 +116198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.661162795,1 +116200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.827803834,1 +116199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.397263102,1 +116201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.609845817,1 +116203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.496023873,1 +116202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.960288284,1 +116204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.307957345,1 +116205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.310552774,1 +116206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.727542636,1 +116207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.307715496,1 +116208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.775809607,1 +116209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.177049991,1 +116211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.656658052,1 +116212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.066635894,1 +116210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.080220889,1 +116213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.886347455,1 +116214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.566440351,1 +116216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.985032427,1 +116215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.95442902,1 +116217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.752476733,1 +116219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.376713865,1 +116218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.674006414,1 +116220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.498783299,1 +116221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.91992261,1 +116222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.094596563,1 +116223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.960466606,1 +116224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.151905511,1 +116226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.992297928,1 +116225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.987424172,1 +116227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.234502576,1 +116228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.164029708,1 +116230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.009209368,1 +116229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.616468496,1 +116231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.155028492,1 +116233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.859831103,1 +116234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.145588876,1 +116235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.116179377,1 +116232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.236153669,1 +116236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.629625595,1 +116237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.632937577,1 +116238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,1.781475888,1 +116239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.375485651,1 +116240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.812198788,1 +116242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.874012756,1 +116241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.430634822,1 +116244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.018352953,1 +116243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.894826022,1 +116245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.153058989,1 +116246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.444123389,1 +116248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.205358488,1 +116249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.913564333,1 +116250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.793921192,1 +116251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.656881582,1 +116252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.500157186,1 +116247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.441505363,1 +116253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.675629972,1 +116256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.562391339,1 +116257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,7.611875943,1 +116254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.513159356,1 +116255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.258506574,1 +116258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.18465476,1 +116259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.760194151,1 +116261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.450468871,1 +116260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.439102083,1 +116264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.684953724,1 +116263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.594290453,1 +116265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.497809767,1 +116267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.421363067,1 +116266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.498534318,1 +116268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.136271098,1 +116262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.802129416,1 +116269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.32146324,1 +116271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.435597913,1 +116272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.263254191,1 +116270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.693503394,1 +116273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.903949742,1 +116274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.738766002,1 +116276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.986625717,1 +116277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.447730846,1 +116275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.988996647,1 +116278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.572909182,1 +116279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.356277161,1 +116280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.433638612,1 +116281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.968030986,1 +116282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.235791453,1 +116283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.406216017,1 +116284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.736645626,1 +116287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.014523665,1 +116286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,7.96102773,1 +116285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.350411679,1 +116288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.793030716,1 +116291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.038734528,1 +116290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.557232387,1 +116292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.203818432,1 +116293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.796604224,1 +116295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.611192384,1 +116289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.641096437,1 +116294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.392260155,1 +116296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.030411841,1 +116297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.24663844,1 +116298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.89338183,1 +116299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.762071228,1 +116302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.032945979,1 +116300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,7.664962011,1 +116301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.534447669,1 +116303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.202660451,1 +116304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.794243272,1 +116305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.309719383,1 +116306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.476181025,1 +116307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,7.289134376,1 +116309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.152077083,1 +116310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.576382554,1 +116311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.913682756,1 +116308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.827824246,1 +116313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.43373323,1 +116312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.914914125,1 +116315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.284972399,1 +116314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.157589702,1 +116318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.000349988,1 +116316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.37580269,1 +116320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.720359808,1 +116321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.075274997,1 +116319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.452288826,1 +116317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.576213301,1 +116323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.703924776,1 +116324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.076347885,1 +116325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.7207565,1 +116326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.859012537,1 +116322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.385691782,1 +116327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.489052457,1 +116328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.75021214,1 +116330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.350469415,1 +116332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.828414081,1 +116329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.761852872,1 +116333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.173661492,1 +116331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,7.484922651,1 +116335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.381011012,1 +116336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.792730879,1 +116337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.071464475,1 +116334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.89709709,1 +116338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.78234335,1 +116339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.011949913,1 +116340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.361083864,1 +116341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.314376671,1 +116342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.271304275,1 +116344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.595253496,1 +116345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.228657077,1 +116343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.145314366,1 +116346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.053918371,1 +116349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.766432013,1 +116348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.012355995,1 +116347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.285050612,1 +116350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.342562831,1 +116351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.822262987,1 +116353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.136457648,1 +116354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.876410279,1 +116352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.581410636,1 +116355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.764266182,1 +116356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.458106148,1 +116357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.104113512,1 +116358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.535098133,1 +116359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.801869499,1 +116362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.913168844,1 +116361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.387777607,1 +116360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.985718424,1 +116363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.507796234,1 +116364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.993602799,1 +116365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.205575449,1 +116367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.823213432,1 +116366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.409239739,1 +116368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.545403568,1 +116369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.631405297,1 +116370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.270679294,1 +116371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.464422066,1 +116373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.921509716,1 +116375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,7.180498827,1 +116372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.312688309,1 +116374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.242440672,1 +116376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.144119728,1 +116378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.752835662,1 +116379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.167387688,1 +116380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.479712522,1 +116381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.735095779,1 +116382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.43390858,1 +116383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.890636825,1 +116377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.870607306,1 +116384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.487183479,1 +116385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.154913627,1 +116386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.544847003,1 +116387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.774436801,1 +116389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.523127689,1 +116388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.348700699,1 +116391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.714323235,1 +116390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.264829459,1 +116392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,7.305560835,1 +116393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.813184234,1 +116394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.07243487,1 +116395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.959206745,1 +116397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.304090874,1 +116396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.999917742,1 +116399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.369365571,1 +116400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.287689501,1 +116401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.265058115,1 +116402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.93968288,1 +116403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.594374997,1 +116398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.522134601,1 +116404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.056783478,1 +116405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.095627707,1 +116407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.898496459,1 +116408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.04960792,1 +116406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.509514328,1 +116409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.568493876,1 +116410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.090110056,1 +116411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.515865111,1 +116412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.746701451,1 +116413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.275644595,1 +116414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,7.044061705,1 +116415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.579184745,1 +116416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.506646916,1 +116417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.026873794,1 +116420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.90708911,1 +116418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.470075465,1 +116421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.739751153,1 +116419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.018436078,1 +116422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.737452159,1 +116425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.50524636,1 +116423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,7.283513243,1 +116424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.744163215,1 +116426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.204012561,1 +116427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.519501836,1 +116428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.21752703,1 +116429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.519340558,1 +116430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.965727676,1 +116431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.052336363,1 +116433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.602516078,1 +116432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.648463348,1 +116434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.757013121,1 +116436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.000957357,1 +116435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.060602783,1 +116438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.020080772,1 +116437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,7.046511706,1 +116440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.121026301,1 +116439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.914260195,1 +116441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.005212938,1 +116442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.430668319,1 +116443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.861164591,1 +116444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.664554753,1 +116445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.716892055,1 +116446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.939260508,1 +116447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.096384266,1 +116448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.519828514,1 +116449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.199724724,1 +116452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.027929656,1 +116451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.802876986,1 +116453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.611356744,1 +116450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.618303854,1 +116454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.765488734,1 +116455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.156654162,1 +116457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.16627743,1 +116456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.184537508,1 +116458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.083967747,1 +116459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.258475016,1 +116460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.581150101,1 +116461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.859962609,1 +116462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.363740992,1 +116463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.821989149,1 +116464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.509197539,1 +116466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.356154151,1 +116465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.18175727,1 +116467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.050890909,1 +116468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.368067084,1 +116469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.877702108,1 +116471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.806570391,1 +116473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.763304109,1 +116472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.431225429,1 +116474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.260945273,1 +116470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.509524569,1 +116475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.236073517,1 +116476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.955974129,1 +116477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.867443708,1 +116479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.204624886,1 +116480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.217112937,1 +116478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.92554202,1 +116483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.901080387,1 +116481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.87289535,1 +116484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.379815221,1 +116482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.988641408,1 +116486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.027394503,1 +116488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.802006584,1 +116487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.773792941,1 +116485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.633229876,1 +116489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.947666818,1 +116490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.229540077,1 +116492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.555326343,1 +116493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.711028932,1 +116494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.772749693,1 +116491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.148797461,1 +116495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.964194575,1 +116497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.1845986,1 +116496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.659673729,1 +116498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.899231611,1 +116499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.978689981,1 +116500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.040215367,1 +116501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.550970919,1 +116502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.702054471,1 +116504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.731274625,1 +116505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.8535032,1 +116503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,7.184247696,1 +116506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.656133135,1 +116507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,7.120082756,1 +116508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.407692875,1 +116509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.374212717,1 +116512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.232369071,1 +116511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.287721321,1 +116513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.412093081,1 +116510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.216319184,1 +116516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,7.02737068,1 +116514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.144221905,1 +116515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.895700183,1 +116517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.442204708,1 +116519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.94015238,1 +116520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.319797684,1 +116521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.512322983,1 +116522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.435944122,1 +116523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.510975644,1 +116518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.527399357,1 +116525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.323625946,1 +116526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.156018859,1 +116527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.623645056,1 +116524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.160384635,1 +116530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.64294459,1 +116528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.999378899,1 +116529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.444278606,1 +116531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.062030086,1 +116532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.985026226,1 +116533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,7.717302871,1 +116534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.843092757,1 +116535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.07759312,1 +116538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.68895457,1 +116537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.163191582,1 +116536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.775675074,1 +116539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.182313578,1 +116540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.530614443,1 +116541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.475259565,1 +116542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.833274215,1 +116545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.566125174,1 +116544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.561264223,1 +116543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.86746745,1 +116546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.581096977,1 +116547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,7.684552177,1 +116548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.520871408,1 +116549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.625870024,1 +116550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,7.429538999,1 +116551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.333209649,1 +116552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.900514662,1 +116553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.01430571,1 +116556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.468414006,1 +116555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.592734857,1 +116557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.56026644,1 +116554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.244608792,1 +116559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.421513432,1 +116558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.392001219,1 +116561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.519007454,1 +116560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.768310991,1 +116562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.689252598,1 +116563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.643176954,1 +116564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.025125342,1 +116565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.334220491,1 +116566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.523480521,1 +116567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.362952166,1 +116568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.393935083,1 +116569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.391232829,1 +116570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.960978023,1 +116571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.368115644,1 +116573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.222198802,1 +116572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.143061366,1 +116575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.792594411,1 +116574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.99905353,1 +116577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.676538193,1 +116576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.368087122,1 +116579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.664558003,1 +116578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.563249634,1 +116580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.699058776,1 +116581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,1.693943449,1 +116582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.716777388,1 +116583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.149681198,1 +116584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.362101615,1 +116586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.209054991,1 +116585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.287211077,1 +116587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.017687566,1 +116588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.958923914,1 +116589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.359908387,1 +116591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.505355882,1 +116590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.732391893,1 +116592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,8.22100438,1 +116593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.627824677,1 +116594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.039154729,1 +116595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.763228105,1 +116596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.848059033,1 +116597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.898585825,1 +116598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.071457621,1 +116599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.678384952,1 +116600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.16042414,1 +116601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.181582739,1 +116602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.957779726,1 +116603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.360118596,1 +116604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.740510102,1 +116605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.531534842,1 +116606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.266912096,1 +116607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.986616701,1 +116608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.980216437,1 +116609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.230488923,1 +116610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.366583466,1 +116611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.946908646,1 +116612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.640015596,1 +116613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.863419013,1 +116614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.881954647,1 +116615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.88462584,1 +116616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.974712542,1 +116617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.139585462,1 +116618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.071010889,1 +116619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.829785318,1 +116620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.31054162,1 +116621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.63126684,1 +116622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.640204162,1 +116624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.754532775,1 +116625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.546472115,1 +116623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.813593839,1 +116626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.021411373,1 +116627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.754780949,1 +116628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.090296499,1 +116630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.627681934,1 +116631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.036873381,1 +116632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.395941745,1 +116633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.412733836,1 +116629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.52785296,1 +116634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.332532833,1 +116635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.653096123,1 +116636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.360604149,1 +116637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.179147901,1 +116638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.367931332,1 +116639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.182892629,1 +116640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.409045204,1 +116642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.994902218,1 +116643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.094778606,1 +116644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.262311753,1 +116641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.871528305,1 +116645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.124184147,1 +116646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.754532342,1 +116647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.133633199,1 +116649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.809948485,1 +116650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.59586748,1 +116648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.707052686,1 +116651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,8.183577157,1 +116652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.845930697,1 +116653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.030415245,1 +116654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.006663605,1 +116655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.116586214,1 +116656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.464998462,1 +116657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.669419884,1 +116658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.103571256,1 +116659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.13021699,1 +116660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.747797835,1 +116661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.847851506,1 +116663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.598728532,1 +116664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.888453836,1 +116665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.682674259,1 +116662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.708119359,1 +116666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.424455267,1 +116667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.223591048,1 +116668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.108436347,1 +116669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.898329726,1 +116670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.068587585,1 +116671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.124307337,1 +116672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.136001429,1 +116673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.46602901,1 +116674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.686917962,1 +116675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,8.495731242,1 +116676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.096246349,1 +116678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.637152373,1 +116677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.280415828,1 +116679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,1.996769283,1 +116681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.264901324,1 +116680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.514300447,1 +116683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.405218511,1 +116682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.225534514,1 +116685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.855997726,1 +116684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.320877999,1 +116686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.278370246,1 +116688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.345749136,1 +116689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.115266503,1 +116687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.983986262,1 +116690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.582632288,1 +116691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.879673325,1 +116692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.336760669,1 +116694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.220415734,1 +116693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.791595857,1 +116695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.694296021,1 +116696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.894112502,1 +116697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.825121585,1 +116698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.530067625,1 +116700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.481632916,1 +116699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.69094487,1 +116701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.850485253,1 +116703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.930853819,1 +116704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.448149548,1 +116705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.23745495,1 +116702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.52631262,1 +116707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.29228169,1 +116706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.787296664,1 +116708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,7.078178743,1 +116711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.5864501,1 +116710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.522712514,1 +116709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.008940535,1 +116712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,7.51427482,1 +116714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.601881241,1 +116713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.504518382,1 +116715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.984601076,1 +116716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.683239882,1 +116718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.47981933,1 +116717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.123667728,1 +116720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.217541308,1 +116721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.595415385,1 +116722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.936474761,1 +116723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.483337099,1 +116719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.900662173,1 +116725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.988171588,1 +116724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.016067699,1 +116726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.271819418,1 +116727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.933793968,1 +116729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.401664273,1 +116728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.824710857,1 +116730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.6303163,1 +116731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.148744177,1 +116733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.760762567,1 +116734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.363912072,1 +116732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.40175195,1 +116738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.449131804,1 +116736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.553117942,1 +116737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.758145595,1 +116735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.102650155,1 +116741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.298768397,1 +116739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.646444054,1 +116740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.370185083,1 +116742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.700085765,1 +116743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.833072191,1 +116745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.797162353,1 +116744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.688973523,1 +116746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.742782453,1 +116747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.421303791,1 +116748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.360784113,1 +116749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.392000612,1 +116751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.689700562,1 +116750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.940182889,1 +116752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.18555136,1 +116753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.260640676,1 +116754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,7.060017631,1 +116755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.073480838,1 +116756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.263197813,1 +116757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.703884295,1 +116758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.393663453,1 +116760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.265307447,1 +116761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.370120503,1 +116759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.818405174,1 +116762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.699424157,1 +116763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.020957911,1 +116764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.44612846,1 +116765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,1.963216566,1 +116766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.15199043,1 +116767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.860824744,1 +116768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.88437694,1 +116769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.744170719,1 +116771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.549946781,1 +116770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.886555159,1 +116772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.74757169,1 +116773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.741820927,1 +116774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.480437916,1 +116775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.20537519,1 +116776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.848045119,1 +116778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.778114964,1 +116777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.086264803,1 +116779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.804911514,1 +116780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.841425967,1 +116781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.915340121,1 +116782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.068208201,1 +116783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.254045539,1 +116784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.053356812,1 +116785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.95238553,1 +116786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.369931407,1 +116787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.025415588,1 +116788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.092859156,1 +116789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.93904839,1 +116791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.115889561,1 +116790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.448484786,1 +116792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.913063656,1 +116793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.519432957,1 +116794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.413616114,1 +116796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.559297917,1 +116797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.266404731,1 +116795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.141650387,1 +116798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,8.25332806,1 +116799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.196001078,1 +116800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.881755664,1 +116802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.864102531,1 +116803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.627279331,1 +116801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.630910646,1 +116804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.093615422,1 +116805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.020336232,1 +116807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.250158312,1 +116806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.797919164,1 +116808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.378998703,1 +116811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.392142279,1 +116810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.426151399,1 +116812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.473753458,1 +116809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.747680099,1 +116813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.498758205,1 +116814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.221016762,1 +116815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.202181476,1 +116817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.523139369,1 +116818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.772363557,1 +116819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.100283491,1 +116816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.187463516,1 +116821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.145578431,1 +116824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.663875986,1 +116823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.28399792,1 +116822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,7.780312888,1 +116820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.991889644,1 +116826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.292314085,1 +116827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.667647927,1 +116828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.838661661,1 +116830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.754100411,1 +116825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.227392919,1 +116831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.661243194,1 +116832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.210745058,1 +116834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.041119945,1 +116833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.919829996,1 +116829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.243581767,1 +116837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.981963899,1 +116838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.825264385,1 +116835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.636861283,1 +116839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.561023286,1 +116836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.047019511,1 +116840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.391013396,1 +116841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.000362843,1 +116843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.082400987,1 +116845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.370896447,1 +116844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.747306032,1 +116846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.88109864,1 +116842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,1.580547935,1 +116847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.800595257,1 +116849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.080001364,1 +116850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.344334751,1 +116851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.399767484,1 +116853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.965433067,1 +116848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.980506475,1 +116852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.870606106,1 +116854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.033139761,1 +116855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.419726055,1 +116856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.880392974,1 +116857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.620557351,1 +116858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.48809276,1 +116861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.145271292,1 +116860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.638553562,1 +116862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.49731904,1 +116863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.385000382,1 +116859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.471246264,1 +116864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.918916752,1 +116865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.365724878,1 +116867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.852700703,1 +116866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.785110059,1 +116870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.884591967,1 +116869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.789839009,1 +116868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.268700259,1 +116871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.205105321,1 +116872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.622504749,1 +116873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.67210073,1 +116875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.492191061,1 +116877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.257835434,1 +116874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.99356087,1 +116876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.172461873,1 +116878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.502958053,1 +116880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.863223111,1 +116879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.547175538,1 +116881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.724307372,1 +116882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.289494201,1 +116883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.822458522,1 +116884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.906572784,1 +116885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.151835323,1 +116886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.417090072,1 +116888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,0.961571194,1 +116889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.293062726,1 +116890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.413227337,1 +116887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.690051917,1 +116891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.023274211,1 +116893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.41807349,1 +116895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.705215025,1 +116894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.762277676,1 +116892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.209821041,1 +116898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.725045548,1 +116896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.557513437,1 +116899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.69937704,1 +116897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.713277482,1 +116901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.185034395,1 +116902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.133885837,1 +116903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.17913233,1 +116904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.665958461,1 +116905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.63003754,1 +116900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.360692133,1 +116906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.634992937,1 +116908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.709430418,1 +116907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.882449076,1 +116910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.950322009,1 +116909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.461971433,1 +116912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.03161533,1 +116913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.430335812,1 +116914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.691607222,1 +116911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.026610864,1 +116915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.717763182,1 +116917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.527889832,1 +116916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.129133526,1 +116918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.493829937,1 +116919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.448608755,1 +116921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.822860372,1 +116920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.236229691,1 +116923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.016886104,1 +116924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,1.756331504,1 +116925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.400744228,1 +116926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.726567209,1 +116927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.203049183,1 +116928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.397707426,1 +116922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.861140979,1 +116930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.564280502,1 +116929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.637634364,1 +116931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.387568248,1 +116932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,7.997713066,1 +116933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.85010722,1 +116934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.296444173,1 +116935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.628300308,1 +116936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.255222593,1 +116938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.403711579,1 +116939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.302860814,1 +116937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.963203858,1 +116941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.953346165,1 +116942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.453658541,1 +116940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.504532473,1 +116943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.403082158,1 +116944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,7.117637355,1 +116945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.251235934,1 +116946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.894163621,1 +116947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.997995997,1 +116948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.420104178,1 +116949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.42547047,1 +116950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.74383787,1 +116951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.224769172,1 +116952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.456310469,1 +116953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.447633499,1 +116954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,8.141704535,1 +116955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.82987022,1 +116956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.148030397,1 +116959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,1.738740166,1 +116957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.181141278,1 +116958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.993477293,1 +116960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.637708454,1 +116961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.622840913,1 +116962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.630766756,1 +116963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.574260546,1 +116965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.403418117,1 +116964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.117002935,1 +116966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.975252218,1 +116969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.415424135,1 +116967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.886393699,1 +116968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,7.048205246,1 +116970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.809869245,1 +116971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.725173636,1 +116973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,2.866098354,1 +116974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.141809374,1 +116972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.532080809,1 +116975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.449428456,1 +116976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.189450028,1 +116977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.317323724,1 +116980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,6.542870202,1 +116979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.621575882,1 +116978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.053722391,1 +116983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.881803134,1 +116981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.685535367,1 +116982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.679896303,1 +116984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.693381731,1 +116985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.171535719,1 +116986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.504072675,1 +116987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.354521271,1 +116988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.107108054,1 +116989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.290706552,1 +116991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.582573097,1 +116990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,7.75531965,1 +116993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.879319856,1 +116994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.304847495,1 +116995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.251188395,1 +116992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.732333318,1 +116996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.893292491,1 +116997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,3.250238604,1 +116998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.389233977,1 +117000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,4.641581071,1 +116999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,7,1,5.487192425,1 +126001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.367862895,1 +126002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.580770908,1 +126005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.284454819,1 +126004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.713939148,1 +126006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.138170514,1 +126003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.32190917,1 +126007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.832046496,1 +126008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.618238573,1 +126009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.405559652,1 +126010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.579231364,1 +126011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.898951615,1 +126012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.378798626,1 +126013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.64933884,1 +126016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.540820205,1 +126014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.629163522,1 +126015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.857621638,1 +126017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.438682807,1 +126020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.843688672,1 +126019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.992351453,1 +126018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.324733289,1 +126021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.70355298,1 +126022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.626088115,1 +126024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,7.350904721,1 +126023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.040825692,1 +126025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.782563818,1 +126026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.588272686,1 +126027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.09472331,1 +126028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.746068103,1 +126029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.69966526,1 +126031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.694029219,1 +126030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.619168045,1 +126033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.322649198,1 +126032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.399486019,1 +126035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.29910738,1 +126034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.231332386,1 +126036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.301076495,1 +126037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.776536609,1 +126038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.990870494,1 +126039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.209904169,1 +126040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.305744774,1 +126041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.219452027,1 +126042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.268403775,1 +126043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.34140343,1 +126044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.861935349,1 +126045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.044361735,1 +126047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,7.663189799,1 +126046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.177869034,1 +126048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.045396359,1 +126051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.039538478,1 +126049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.617721745,1 +126050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.107716497,1 +126052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.604500135,1 +126053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.383979687,1 +126054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.653956612,1 +126055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.858278292,1 +126056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.597896758,1 +126057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.793892295,1 +126058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.032305096,1 +126059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,7.503000713,1 +126060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.968197817,1 +126061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.337982901,1 +126062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.6900531,1 +126064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.292346413,1 +126065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.496165789,1 +126066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.35124397,1 +126063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.485241722,1 +126067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.762624446,1 +126068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.306334491,1 +126069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.672254611,1 +126071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.630374424,1 +126070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.049640705,1 +126072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.183900956,1 +126073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.04888862,1 +126074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.689603725,1 +126076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.302433492,1 +126075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.989531214,1 +126077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.428470456,1 +126078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.207212743,1 +126080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.345742045,1 +126079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.664265185,1 +126082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,1.257339883,1 +126083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.267374947,1 +126081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.273067129,1 +126084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.619814562,1 +126085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.118810322,1 +126087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.822277097,1 +126088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.558169808,1 +126089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.194693085,1 +126091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.456770112,1 +126086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.163356872,1 +126090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.337300478,1 +126092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.489395941,1 +126094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.360526156,1 +126093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.48611293,1 +126095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.015515388,1 +126096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.768036452,1 +126097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.013297422,1 +126098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.668539899,1 +126099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.646757453,1 +126100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.384392702,1 +126101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.161071297,1 +126102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.298688756,1 +126104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.393268819,1 +126106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.38703679,1 +126103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.55658307,1 +126105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.099767515,1 +126108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.625042921,1 +126107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.59446208,1 +126109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.214684394,1 +126110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.160868237,1 +126111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.377824205,1 +126112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.720260443,1 +126113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.134050621,1 +126114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.149213077,1 +126116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.616364529,1 +126118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.857201338,1 +126115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.059969966,1 +126117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.738026242,1 +126121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.055813962,1 +126119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.774245826,1 +126120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.365848502,1 +126123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.636768547,1 +126122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.521599422,1 +126124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.783526664,1 +126125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.962547295,1 +126126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.339068848,1 +126127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.768483688,1 +126128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.050387459,1 +126129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.983158761,1 +126132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.242601324,1 +126133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.245747088,1 +126131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.666179996,1 +126130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.199985111,1 +126135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.396547008,1 +126136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.288698662,1 +126137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.94951937,1 +126134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.22116916,1 +126138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.053273851,1 +126140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,7.972965436,1 +126139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.197716492,1 +126141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.295347601,1 +126142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.452220234,1 +126143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.365721527,1 +126144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.705471047,1 +126145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,1.895456906,1 +126147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.384044523,1 +126146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.63218864,1 +126149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.793222267,1 +126148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.88397362,1 +126152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.147899875,1 +126151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.276055771,1 +126153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.781484921,1 +126150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.264814513,1 +126155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.036385813,1 +126154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.056220594,1 +126156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.766986742,1 +126157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.050439668,1 +126159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.251284234,1 +126158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.301692881,1 +126160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.576689758,1 +126161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.029490423,1 +126162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.785815209,1 +126163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.292766054,1 +126165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.981266304,1 +126166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.311054694,1 +126164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.360845098,1 +126167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.208328868,1 +126170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.53143896,1 +126168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,1.76280187,1 +126169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.657170073,1 +126171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.046606343,1 +126172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.588533713,1 +126173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.090155695,1 +126174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.738301472,1 +126175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.811659742,1 +126176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.052818584,1 +126177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.909121951,1 +126178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.327930419,1 +126179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.163784528,1 +126181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.267021322,1 +126182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.272371104,1 +126180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.689726696,1 +126184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.146016742,1 +126185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.385173446,1 +126186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.682178929,1 +126187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.177551142,1 +126188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.375475478,1 +126189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.556928789,1 +126183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.652161098,1 +126190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.297530358,1 +126191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.34284234,1 +126192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.946714398,1 +126194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.426300828,1 +126195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,7.379603282,1 +126196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.111981721,1 +126193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.294854294,1 +126198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.958569136,1 +126200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.466408991,1 +126197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,1.630844692,1 +126201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.815580465,1 +126199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.364740703,1 +126202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.910786894,1 +126204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.248494761,1 +126203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.66582772,1 +126205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.517690853,1 +126207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.309788234,1 +126208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.931720209,1 +126209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.937345039,1 +126210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.865406704,1 +126212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.997982523,1 +126211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.095797198,1 +126206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.522825379,1 +126216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.974193928,1 +126213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.544922922,1 +126214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.405061074,1 +126215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.886117819,1 +126217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.049824517,1 +126219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.116023642,1 +126218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.343408386,1 +126220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.215341887,1 +126222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.685838935,1 +126223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.512361371,1 +126221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.443918726,1 +126226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.45280025,1 +126225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.954684662,1 +126224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.655044856,1 +126230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.971767946,1 +126227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.676390611,1 +126229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.532888549,1 +126228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.049112902,1 +126231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.774086692,1 +126232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.867177507,1 +126233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.813399693,1 +126234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.28051444,1 +126235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.576964991,1 +126236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.088505163,1 +126238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.414411514,1 +126237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.890735134,1 +126239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.116349167,1 +126241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.980073426,1 +126242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,7.409714371,1 +126243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.318842759,1 +126240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.959239484,1 +126244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.032498016,1 +126246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.227879365,1 +126245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.463325694,1 +126247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.1116235,1 +126248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.602132503,1 +126249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.323257711,1 +126250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.939199813,1 +126251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.351068128,1 +126252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.389178319,1 +126253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.987791317,1 +126254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.799039662,1 +126257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.999889856,1 +126256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.779661509,1 +126255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.267516382,1 +126258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.379689499,1 +126260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.145912361,1 +126259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.274206273,1 +126261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.683374451,1 +126262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,7.112585314,1 +126263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.641813675,1 +126264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.341011542,1 +126266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.169415196,1 +126265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.247158665,1 +126267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.44329196,1 +126268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.094797915,1 +126269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.351379914,1 +126270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.300888035,1 +126271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.409545695,1 +126272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.506563358,1 +126273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.354538101,1 +126274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.675343115,1 +126275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.904984863,1 +126277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.673281552,1 +126276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.835526047,1 +126279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.389166351,1 +126280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.704826021,1 +126281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.817910706,1 +126278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.483917677,1 +126283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.620971228,1 +126282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.207022738,1 +126284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.089211133,1 +126286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.638799036,1 +126285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.171141964,1 +126287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.19405921,1 +126288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.280546745,1 +126290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.726859249,1 +126289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,7.671760311,1 +126291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.732712676,1 +126292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.368460221,1 +126293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.817152629,1 +126294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.979624415,1 +126295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.389313595,1 +126296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.365711808,1 +126298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.03571283,1 +126299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.899632096,1 +126300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.75123089,1 +126301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.154772603,1 +126297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.232562499,1 +126302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.969891496,1 +126303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.859169412,1 +126304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.625330786,1 +126305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.386424517,1 +126306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.655073108,1 +126307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.363295591,1 +126308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.831015283,1 +126309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.47806466,1 +126310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.521016524,1 +126311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.256930031,1 +126312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.983688554,1 +126313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.77456165,1 +126314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.255008738,1 +126315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.842854125,1 +126316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.347490078,1 +126318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.791060679,1 +126319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.412560915,1 +126320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.595052852,1 +126317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.097450967,1 +126321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.352017476,1 +126323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.275675958,1 +126322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.796599586,1 +126324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.918557434,1 +126325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.738101193,1 +126327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.393742808,1 +126326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.026110581,1 +126328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.028456153,1 +126330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.613089834,1 +126329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.270092634,1 +126331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.115998823,1 +126333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.294350834,1 +126334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.152193737,1 +126332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.77893915,1 +126335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.553491002,1 +126336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.230032595,1 +126337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.963659979,1 +126339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.716906847,1 +126338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.702540336,1 +126341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.086407081,1 +126340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.761602061,1 +126342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.383655302,1 +126343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.757810366,1 +126344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.984031808,1 +126345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.63882785,1 +126346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.63993161,1 +126348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.043677421,1 +126347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.755789503,1 +126349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.871347115,1 +126350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.844949222,1 +126353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.589485423,1 +126351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.164421885,1 +126352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.253193258,1 +126354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.939562856,1 +126356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.091986008,1 +126355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.537117401,1 +126358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.035640887,1 +126357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.963882352,1 +126359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.434018994,1 +126360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.881066801,1 +126361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.344944341,1 +126363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.267922677,1 +126364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.716706496,1 +126362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.025982123,1 +126365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.2309998,1 +126367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.213313054,1 +126368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.443553446,1 +126366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.457122769,1 +126370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.693569345,1 +126369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.938274508,1 +126372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.813414546,1 +126373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.960606101,1 +126374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.449231894,1 +126375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.43377282,1 +126376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.57791451,1 +126377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.599890908,1 +126378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.599197048,1 +126371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.20598879,1 +126379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.864344651,1 +126380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.010679123,1 +126381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.588775358,1 +126382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.103348724,1 +126385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.552677187,1 +126384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.255943239,1 +126383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.849876153,1 +126386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.432884134,1 +126388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.96569503,1 +126387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,1.989150866,1 +126389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.346021974,1 +126392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.351897441,1 +126391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.266338969,1 +126393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,1.999816702,1 +126395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.379154651,1 +126394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.378801257,1 +126396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.361035953,1 +126390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.632368808,1 +126400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.844090789,1 +126397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.918051327,1 +126398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.645581091,1 +126399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.940203956,1 +126401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.129316623,1 +126403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.564012112,1 +126402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.104591104,1 +126404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.207777249,1 +126407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.525394561,1 +126405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.159917697,1 +126406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.342206847,1 +126408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.930746938,1 +126409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.726545949,1 +126411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.763180498,1 +126412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.115273901,1 +126415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.925022318,1 +126410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.706942072,1 +126414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.683648756,1 +126413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.462487068,1 +126416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.945722,1 +126417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.640432045,1 +126418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.224710344,1 +126419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.427282231,1 +126420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.181908509,1 +126422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,7.448446072,1 +126421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.740602442,1 +126424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.813523971,1 +126423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.437254572,1 +126425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.749461285,1 +126428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.247790174,1 +126426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.815620149,1 +126429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.190190784,1 +126427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.166408164,1 +126430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.378959469,1 +126431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.307809879,1 +126432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.87835308,1 +126433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.225260552,1 +126435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,1.883685801,1 +126434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.015528513,1 +126436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.265596525,1 +126437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.893300452,1 +126438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.770972161,1 +126439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.43261226,1 +126440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.093645527,1 +126441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.247587572,1 +126442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.226852617,1 +126443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.377282771,1 +126444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.564966553,1 +126445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.28645254,1 +126447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.393987557,1 +126446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.313964509,1 +126449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.328905703,1 +126448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.937108527,1 +126450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.084446075,1 +126452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.776729677,1 +126453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.920400371,1 +126451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.600909298,1 +126454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.562972209,1 +126455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.065489479,1 +126456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.018775834,1 +126457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.727640486,1 +126459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.438974494,1 +126460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.500941641,1 +126458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.295876267,1 +126461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.701677315,1 +126462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.787624289,1 +126463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.607677522,1 +126465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.57528238,1 +126464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.489798728,1 +126466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.315976368,1 +126467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.020769379,1 +126470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.068373863,1 +126469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.911113398,1 +126471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.826144923,1 +126468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.63432076,1 +126473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.64164891,1 +126472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.921504989,1 +126475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.577493559,1 +126474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.177362126,1 +126476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.892720835,1 +126477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,1.240954453,1 +126479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.750592073,1 +126480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.145147742,1 +126478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.893237544,1 +126481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.474438503,1 +126482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.586433204,1 +126483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.913953024,1 +126484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.977253105,1 +126486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.670644104,1 +126487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.986368061,1 +126488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,1.911286295,1 +126485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.105731001,1 +126490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.325002689,1 +126492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.227240146,1 +126489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.376247398,1 +126493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.395517833,1 +126494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,7.195952607,1 +126495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.453469784,1 +126491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.72489097,1 +126496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.598878501,1 +126497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.284589425,1 +126498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,1.915035426,1 +126499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.153493791,1 +126502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.212105903,1 +126501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.885754717,1 +126500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.868761632,1 +126503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.01641916,1 +126505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.335661735,1 +126506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.669861517,1 +126507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,1.805689727,1 +126504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.636284717,1 +126508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.463699193,1 +126509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.862557608,1 +126511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.280340871,1 +126512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.354552003,1 +126513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.08526123,1 +126514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.966088742,1 +126510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.363973775,1 +126515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.775511356,1 +126516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.94410047,1 +126517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.209017527,1 +126518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.893183138,1 +126520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.578037244,1 +126519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.006957545,1 +126521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.690239628,1 +126522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.385085367,1 +126523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.55011741,1 +126524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,1.614309917,1 +126525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.666972996,1 +126526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.416808236,1 +126528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.733828046,1 +126527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.430225489,1 +126529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.706665274,1 +126531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.508287479,1 +126532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.561138991,1 +126533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.590980141,1 +126530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.99406176,1 +126535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.20973151,1 +126537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.856396525,1 +126534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.148315771,1 +126536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.089092422,1 +126538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.339024726,1 +126539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.684982534,1 +126540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.311534678,1 +126542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.380267685,1 +126541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.030808262,1 +126544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.099751739,1 +126543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.670267665,1 +126546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.172210723,1 +126545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.975565962,1 +126549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.529369099,1 +126547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.458159076,1 +126548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.243473319,1 +126550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.630663686,1 +126552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.856537213,1 +126551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.849244448,1 +126554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.286076837,1 +126553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.288305562,1 +126555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.292523189,1 +126556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.259711417,1 +126557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.209059129,1 +126558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.298565504,1 +126559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.060924211,1 +126560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.231806644,1 +126561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.536698175,1 +126564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.38422643,1 +126562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.163467861,1 +126565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.257284672,1 +126566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.363537998,1 +126563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.271770841,1 +126568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.53978552,1 +126570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.233307862,1 +126567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.007950468,1 +126571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.831254221,1 +126569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.234865205,1 +126572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.767698295,1 +126573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.256703608,1 +126574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.566257821,1 +126575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.155308453,1 +126576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.035203866,1 +126577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.188975264,1 +126579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.173626604,1 +126580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.722290351,1 +126582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.294821399,1 +126578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.669771912,1 +126585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.296179154,1 +126583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.071465365,1 +126581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.089071989,1 +126584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.093789733,1 +126586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.321577542,1 +126587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,7.132277239,1 +126588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.143416157,1 +126589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.995807768,1 +126591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.470005233,1 +126590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.283004433,1 +126592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.976606549,1 +126593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.038406765,1 +126594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.683163853,1 +126596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.499812304,1 +126595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.138387892,1 +126597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.470173193,1 +126598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.107101759,1 +126600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.447599258,1 +126599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.026557668,1 +126601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.912026394,1 +126602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.042784916,1 +126603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.716950536,1 +126605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.825142052,1 +126604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.368223558,1 +126606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,7.102320022,1 +126607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.465247271,1 +126608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.765215045,1 +126609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.161301949,1 +126610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.923660163,1 +126611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.948230871,1 +126612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,7.388467914,1 +126613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.484438287,1 +126615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.3528243,1 +126614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.213941305,1 +126616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.747794758,1 +126617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.363041387,1 +126618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.681257203,1 +126619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.911839265,1 +126620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.401642253,1 +126621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.11827598,1 +126622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.876057413,1 +126623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.01375326,1 +126624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.460361011,1 +126626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.563647254,1 +126625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.272472695,1 +126627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.471933192,1 +126628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.061551903,1 +126629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.606329181,1 +126630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.232653509,1 +126631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.917876114,1 +126632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.46878519,1 +126633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.944188219,1 +126634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.962237527,1 +126635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.786486367,1 +126637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.693962272,1 +126636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.592738792,1 +126638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.958312933,1 +126640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.471211865,1 +126639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.709457037,1 +126641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.743850342,1 +126642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.561564129,1 +126644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.435619664,1 +126645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.229328078,1 +126643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.518033718,1 +126648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.492298871,1 +126649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.6354257,1 +126650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.986998978,1 +126651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.342155139,1 +126646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.804154015,1 +126653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.353050048,1 +126652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.95028053,1 +126647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.159796476,1 +126654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.432774011,1 +126657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.99915373,1 +126658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.472191406,1 +126656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.44140828,1 +126655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.130799114,1 +126659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.07998118,1 +126660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.376708453,1 +126661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.947488027,1 +126662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.936293035,1 +126663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.528493917,1 +126665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.283496159,1 +126666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.733540466,1 +126664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.540478957,1 +126668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.347714858,1 +126669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.712739992,1 +126670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.590687028,1 +126667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.620998885,1 +126671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.14547699,1 +126673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.949375514,1 +126674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.456543417,1 +126672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.094045198,1 +126675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.799695289,1 +126677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.172819589,1 +126678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.776923147,1 +126679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.217773278,1 +126680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.282580898,1 +126681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.833507238,1 +126676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.197373067,1 +126682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.308490376,1 +126684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.40706399,1 +126685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.493983768,1 +126683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,7.049539549,1 +126689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.920743492,1 +126688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.520013399,1 +126686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.267721641,1 +126687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.651556135,1 +126691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.218373079,1 +126690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.133285918,1 +126692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.129248582,1 +126693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.475887695,1 +126694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.228082079,1 +126696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.196916867,1 +126697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.203226163,1 +126699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.181988558,1 +126700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.592001858,1 +126701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.647280561,1 +126695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.771391886,1 +126698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.986221213,1 +126702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.123496022,1 +126704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.4083897,1 +126705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.270087767,1 +126707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.180622888,1 +126708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.743405406,1 +126703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.951215966,1 +126706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.119983774,1 +126709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.780388734,1 +126711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.342612232,1 +126710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.680738964,1 +126712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.344654031,1 +126716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.430965292,1 +126713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.188615002,1 +126715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.65117255,1 +126717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.174935575,1 +126718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.902123552,1 +126719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.748493064,1 +126714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,7.479846181,1 +126722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.232133079,1 +126720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.928791256,1 +126723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.453767355,1 +126721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.818131925,1 +126724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.391247757,1 +126725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.619622871,1 +126726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.361917584,1 +126727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.728095941,1 +126729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.183924083,1 +126730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.128824738,1 +126731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.907919367,1 +126728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.496447276,1 +126732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.103053948,1 +126734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.790001056,1 +126735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.037416113,1 +126733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.319201716,1 +126736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.800182864,1 +126737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.399439685,1 +126738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,7.381521041,1 +126740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.679668615,1 +126739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.34663946,1 +126742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.047509293,1 +126741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.806046531,1 +126743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,1.916308517,1 +126746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.694887513,1 +126744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.395968265,1 +126747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.258955802,1 +126748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.644837624,1 +126745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.614458021,1 +126750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.280086796,1 +126752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.09481171,1 +126749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.033547517,1 +126753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.011601236,1 +126751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.350649099,1 +126754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.489315637,1 +126755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.862261369,1 +126757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.071223104,1 +126756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,7.134819612,1 +126758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.114211435,1 +126761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.826213115,1 +126759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.627225873,1 +126760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.042404448,1 +126762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.353243256,1 +126765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.993541762,1 +126764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.573387854,1 +126763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.243396537,1 +126767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.085683531,1 +126766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.590385047,1 +126769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,1.746403116,1 +126768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.459870366,1 +126770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.915522334,1 +126771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.336828422,1 +126772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.465444593,1 +126774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.00860689,1 +126775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.966179399,1 +126776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.214062601,1 +126773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.705798156,1 +126777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.630028007,1 +126778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.150668827,1 +126779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.127970421,1 +126780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.497985946,1 +126782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.8366211,1 +126783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.04732798,1 +126784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.35997712,1 +126781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.258953674,1 +126785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.503778854,1 +126787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.92748929,1 +126788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.181682502,1 +126786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.599846369,1 +126789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.05346453,1 +126790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.148484074,1 +126791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.319216757,1 +126792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.31880417,1 +126793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.70271051,1 +126794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.608340679,1 +126797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.22070186,1 +126795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.653506698,1 +126796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.580482791,1 +126799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.65238035,1 +126798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.62845644,1 +126800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.759827747,1 +126801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.953222554,1 +126802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.211335577,1 +126805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.351729017,1 +126804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.238517412,1 +126803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,1.566474762,1 +126806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.319504982,1 +126807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.115392898,1 +126809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,7.378092721,1 +126812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.705425968,1 +126808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.946465599,1 +126810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.664142671,1 +126811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.675887146,1 +126814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.420933732,1 +126815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.00436621,1 +126816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.271889236,1 +126813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.843859342,1 +126817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.260035113,1 +126818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.117600538,1 +126819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.985764979,1 +126821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.540971685,1 +126822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.272480954,1 +126820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.884856287,1 +126823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.807675,1 +126826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.352199793,1 +126824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.500427633,1 +126825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.83646561,1 +126828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.351730492,1 +126827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,7.112838226,1 +126830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.304265482,1 +126829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.066482253,1 +126832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.324482906,1 +126833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.467845828,1 +126834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.372424464,1 +126831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.057656967,1 +126835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.919729889,1 +126836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.168030542,1 +126839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.351745532,1 +126838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.355250146,1 +126837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.107151301,1 +126842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.481015993,1 +126840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.605328695,1 +126844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.272606994,1 +126843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.635376811,1 +126841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.41814511,1 +126845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.648530018,1 +126846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.779927719,1 +126848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.693860531,1 +126847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.693440841,1 +126849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.663698688,1 +126851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.836378426,1 +126852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.350778801,1 +126853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.525462709,1 +126854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.171762619,1 +126850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.38558148,1 +126858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.804837765,1 +126856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.694129153,1 +126855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.279151773,1 +126860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.298253459,1 +126859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.204182974,1 +126857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.938329184,1 +126861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.774801693,1 +126862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.604730381,1 +126863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.267047116,1 +126864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.567269052,1 +126865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.275420441,1 +126866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.738392494,1 +126868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.033320204,1 +126869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.94843689,1 +126871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.347669653,1 +126867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.543700986,1 +126870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.254156719,1 +126874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.855738235,1 +126872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.305786923,1 +126873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.259927846,1 +126875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.88578976,1 +126876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,1.668413657,1 +126877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,7.94280104,1 +126878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.015167995,1 +126879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.845897674,1 +126880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.97286564,1 +126881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.971770499,1 +126882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.800535602,1 +126883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.83543508,1 +126886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.156865476,1 +126885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.268006765,1 +126887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.855161464,1 +126884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.077544605,1 +126891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.987460422,1 +126888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.692983053,1 +126889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.913900723,1 +126890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.951538503,1 +126892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.16649512,1 +126893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.861549738,1 +126895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.31799557,1 +126896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.844032865,1 +126897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.563301218,1 +126894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.548506178,1 +126898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.069541852,1 +126900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.209098385,1 +126901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.611086916,1 +126902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.367515157,1 +126899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.37565804,1 +126906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.352996293,1 +126903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.887782783,1 +126904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.387318929,1 +126905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.789900327,1 +126907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.416700565,1 +126908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.172851536,1 +126910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.546266516,1 +126909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.310492359,1 +126911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.35117105,1 +126912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.666779303,1 +126913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.623472666,1 +126914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.247883038,1 +126916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.006022514,1 +126917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.721141477,1 +126915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.112320653,1 +126918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.360602927,1 +126919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.007253494,1 +126920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.87491827,1 +126921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.66576853,1 +126922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.726970367,1 +126924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.897845772,1 +126923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.362229688,1 +126925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.343189193,1 +126926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.16674715,1 +126927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.145005548,1 +126929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,1.294312839,1 +126928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.342168746,1 +126931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.44370457,1 +126930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.755312848,1 +126933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.044934082,1 +126935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.26284169,1 +126932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.92890509,1 +126936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.598426201,1 +126934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.84763545,1 +126937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.236340128,1 +126938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.221719517,1 +126939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.310051144,1 +126940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.395747897,1 +126941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.487676846,1 +126942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.826918041,1 +126944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.363998676,1 +126943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.958180525,1 +126945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.000773444,1 +126946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.26727229,1 +126948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.798638646,1 +126947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.064814996,1 +126950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.826271043,1 +126952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.400614081,1 +126951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.349410665,1 +126953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.384453476,1 +126954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.008343854,1 +126955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.527294318,1 +126949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.815219506,1 +126957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.904564085,1 +126956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.897508549,1 +126958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.174623677,1 +126960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.690848339,1 +126961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.145631568,1 +126959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.46985307,1 +126962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.693831135,1 +126966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.882615091,1 +126965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.849787192,1 +126963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.503368919,1 +126964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.247490984,1 +126967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.455688367,1 +126968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.984000907,1 +126969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.980750667,1 +126970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.798863316,1 +126971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.831861168,1 +126974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.589888988,1 +126973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.683158659,1 +126975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.259484564,1 +126972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.009119927,1 +126977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,6.09225878,1 +126976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.644985979,1 +126978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.599631077,1 +126980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.342936527,1 +126979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.547209573,1 +126981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.057754507,1 +126982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.003299019,1 +126983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.909927465,1 +126985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.549687422,1 +126984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.291865417,1 +126986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.342683939,1 +126987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,1.953585568,1 +126988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.241922129,1 +126990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.613854383,1 +126989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.176109922,1 +126991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,5.289753,1 +126992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.454660095,1 +126993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.802485722,1 +126995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.997283259,1 +126994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.701559076,1 +126996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.495680512,1 +126998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.564623433,1 +126997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,2.90639887,1 +127000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,3.534034066,1 +126999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,7,1,4.020349079,1 +136002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.853682789,1 +136003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.496602823,1 +136004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,1.969230644,1 +136001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.389192741,1 +136005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.890029444,1 +136006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.154068003,1 +136007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.532724316,1 +136009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.258540272,1 +136011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.961852326,1 +136010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.474065462,1 +136013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.785731385,1 +136008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.718552317,1 +136014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.901673456,1 +136012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.715454084,1 +136016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.902168001,1 +136017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.647708804,1 +136018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.854736359,1 +136015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.171305513,1 +136019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.336577398,1 +136021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.244106628,1 +136022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.760823637,1 +136023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.567801014,1 +136024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.854636077,1 +136025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.404856727,1 +136020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.730869983,1 +136028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.919265195,1 +136026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.766756977,1 +136029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.853382982,1 +136027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.474042969,1 +136031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.15959938,1 +136030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.572570142,1 +136032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.636205773,1 +136033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.727988123,1 +136035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.150913842,1 +136034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.952012997,1 +136036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.173009463,1 +136037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.263645195,1 +136038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.73324288,1 +136039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.252026851,1 +136041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.241291445,1 +136042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.51060037,1 +136044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.633678003,1 +136040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.545387735,1 +136045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.471703655,1 +136043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.185123835,1 +136047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.242959599,1 +136049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.983636465,1 +136048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.546332134,1 +136046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.742487417,1 +136050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.62629591,1 +136051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.818067988,1 +136052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.746488603,1 +136053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.553134345,1 +136054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.339635908,1 +136055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.01000408,1 +136056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.61173522,1 +136057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.723422877,1 +136060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.648935187,1 +136058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.655897757,1 +136061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.118726354,1 +136059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.879161558,1 +136063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.696127936,1 +136062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.595394476,1 +136064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,1.263495432,1 +136065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.46978427,1 +136068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.554026103,1 +136069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.816469595,1 +136067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.539703272,1 +136066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.168958995,1 +136070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.280610357,1 +136071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.444354648,1 +136072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.664523116,1 +136074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.692765689,1 +136073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.717149888,1 +136076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.893820855,1 +136075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.465611138,1 +136079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,7.660893824,1 +136077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.860835529,1 +136078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.685305485,1 +136080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.268615693,1 +136082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.303729077,1 +136081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.673380463,1 +136084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.445969996,1 +136083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.910731759,1 +136086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.064999673,1 +136085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.412136325,1 +136087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.408224872,1 +136088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.223647475,1 +136089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.661890222,1 +136090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.682452648,1 +136091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.123725484,1 +136092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.703116612,1 +136094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.357543882,1 +136093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.179900292,1 +136095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.104519616,1 +136097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.710469441,1 +136098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.794437893,1 +136099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.408200726,1 +136096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.274783909,1 +136100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.844780768,1 +136101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.316019749,1 +136102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.717401869,1 +136104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.39107223,1 +136103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,1.939081221,1 +136105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.856649094,1 +136108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.096121939,1 +136106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.673320668,1 +136109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.179850865,1 +136107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.332875077,1 +136112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.704798155,1 +136111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.667165002,1 +136113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.604664151,1 +136110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,7.217480614,1 +136115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.505727895,1 +136114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.604035365,1 +136117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.79336776,1 +136116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.435051264,1 +136119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.181454205,1 +136118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.008889756,1 +136120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.767133645,1 +136121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.924894722,1 +136122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.889887842,1 +136123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.823413997,1 +136125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.59197369,1 +136124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.14909088,1 +136127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.992176466,1 +136126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.130707503,1 +136128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.37444577,1 +136129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.837523592,1 +136130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.274077919,1 +136131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.618806274,1 +136132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.462425373,1 +136133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.711478944,1 +136134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.396269828,1 +136135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.687394705,1 +136136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.771425305,1 +136137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.139953948,1 +136138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.977412881,1 +136139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.702428055,1 +136140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.414474482,1 +136142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.173833577,1 +136144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.086826613,1 +136143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.977118289,1 +136145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.95595809,1 +136141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.78966753,1 +136147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.310903538,1 +136146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.959261809,1 +136148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.238890237,1 +136151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.720015167,1 +136150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.1483242,1 +136149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.079839995,1 +136152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.117386401,1 +136153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.202547772,1 +136154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.929430767,1 +136155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.190494341,1 +136156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.064321639,1 +136157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.165171588,1 +136158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.308814017,1 +136159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.52257612,1 +136160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.019793102,1 +136161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.943593141,1 +136162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.627376757,1 +136164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.965982313,1 +136166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.315725738,1 +136165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.063372769,1 +136163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.615930134,1 +136168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,8.30166084,1 +136167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.723946633,1 +136169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.212819584,1 +136170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.322002594,1 +136172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.116253749,1 +136173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.209767201,1 +136171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.631669805,1 +136174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.184692368,1 +136176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,7.136543726,1 +136175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.055299079,1 +136177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.466868731,1 +136179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.574143951,1 +136180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.016501585,1 +136181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.592141497,1 +136182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.505766458,1 +136178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.786804245,1 +136184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.682138968,1 +136183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.857547119,1 +136186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.32893133,1 +136188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.286602086,1 +136187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.779078504,1 +136185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.327283336,1 +136189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.542317253,1 +136190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.888957476,1 +136192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.678633191,1 +136191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.015424742,1 +136193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.20766829,1 +136194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.567187601,1 +136195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.852646344,1 +136196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.187902141,1 +136199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.064916318,1 +136200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.090631895,1 +136198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.039616108,1 +136197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.605908669,1 +136201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.104994639,1 +136202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.116422203,1 +136203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.426362912,1 +136204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.872126314,1 +136205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.646743534,1 +136206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.837420201,1 +136207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.926505294,1 +136208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.739148196,1 +136210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.768915133,1 +136209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.961949444,1 +136211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.162391221,1 +136212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.60033258,1 +136213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.571129453,1 +136214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.554216929,1 +136215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.183695264,1 +136217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.08286069,1 +136218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.223840967,1 +136219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.578380185,1 +136216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.455056889,1 +136220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.176051142,1 +136222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.218107172,1 +136221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,1.99385136,1 +136223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.296271807,1 +136225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.197221302,1 +136224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.180534241,1 +136226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.449211276,1 +136227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.582593683,1 +136229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.551317895,1 +136230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.980545709,1 +136228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.287109969,1 +136231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.793332799,1 +136234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.118276172,1 +136233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.240615595,1 +136232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.205061947,1 +136235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.969936171,1 +136237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.418109095,1 +136236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,1.705747115,1 +136238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.602336579,1 +136239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.085778323,1 +136240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.393223507,1 +136241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.571141479,1 +136242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.104168064,1 +136243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.289606992,1 +136244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.718345839,1 +136246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.449347264,1 +136245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.157116984,1 +136248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.144119003,1 +136249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.900669857,1 +136247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.503637417,1 +136250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.63546181,1 +136251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.555529804,1 +136252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.94764171,1 +136253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.556013718,1 +136254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.103642658,1 +136255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.050438909,1 +136256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.460088022,1 +136257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.086001075,1 +136258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.358386423,1 +136260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.974335544,1 +136259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.528891373,1 +136261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,1.91888979,1 +136262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.341465983,1 +136264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.901894554,1 +136263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.053261388,1 +136266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.807618896,1 +136267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.306410703,1 +136268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.42494637,1 +136269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.027126082,1 +136270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.901771371,1 +136271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.580895149,1 +136265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.84444507,1 +136272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.391176191,1 +136273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,7.202439338,1 +136274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.804018371,1 +136276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.556262471,1 +136275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.992470617,1 +136277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.508507004,1 +136278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.924348083,1 +136279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.132964665,1 +136280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.276166062,1 +136281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.943037128,1 +136282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.451458053,1 +136283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,8.028914129,1 +136285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.322022181,1 +136286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.137685315,1 +136287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.895904183,1 +136288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.265840239,1 +136284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.699579423,1 +136289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.770250958,1 +136290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.308901971,1 +136292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.125342363,1 +136291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.649327427,1 +136293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.236181004,1 +136294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.941538389,1 +136296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.953517633,1 +136295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.555356302,1 +136297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.660169556,1 +136298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.680221025,1 +136299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.005151426,1 +136301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.17306069,1 +136300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.085921756,1 +136302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.017488243,1 +136303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.300609296,1 +136304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.315060203,1 +136305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.39487592,1 +136306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.369442448,1 +136308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.460076779,1 +136307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.966808098,1 +136309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.059771907,1 +136310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.859029184,1 +136311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.372792168,1 +136312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.833185826,1 +136313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.950152929,1 +136314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.791328113,1 +136315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.690870494,1 +136316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.704347701,1 +136318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.108454937,1 +136317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.056514939,1 +136319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.307732263,1 +136320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.288805341,1 +136321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.618795703,1 +136323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.278207566,1 +136324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.922675053,1 +136325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.007971875,1 +136322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.445500969,1 +136327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.129156481,1 +136326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.000465877,1 +136328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.285097821,1 +136329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.592501229,1 +136330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.21995959,1 +136332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.766145426,1 +136331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.595344012,1 +136334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.902577348,1 +136333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.043043781,1 +136335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.205616244,1 +136336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.65243424,1 +136339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.003544808,1 +136340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.803352523,1 +136338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.856036897,1 +136337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.457096968,1 +136342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.179310455,1 +136341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.844891844,1 +136343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.620841473,1 +136344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.305137758,1 +136345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.898837106,1 +136346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.907782907,1 +136347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.330959398,1 +136348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.30688665,1 +136349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.605706977,1 +136350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.125181903,1 +136351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.030832427,1 +136352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.33082806,1 +136353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.75478109,1 +136354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.383278816,1 +136356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.79159784,1 +136358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.443334087,1 +136357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.383249102,1 +136355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.954869226,1 +136359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.017046898,1 +136361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.748836543,1 +136362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.641132882,1 +136360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.119288312,1 +136363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.487510638,1 +136364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.290494484,1 +136365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.736435418,1 +136366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.606680631,1 +136367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.062045924,1 +136368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.658933252,1 +136369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.281533045,1 +136371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.561974825,1 +136372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.518120956,1 +136373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.38419314,1 +136374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.993617108,1 +136375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.092815356,1 +136376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.672012268,1 +136377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.505745197,1 +136370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.70483691,1 +136378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.941167449,1 +136379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.170597861,1 +136380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.81599384,1 +136382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,1.637013425,1 +136383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.946692695,1 +136381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.930797787,1 +136385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.664685527,1 +136386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.724091223,1 +136384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.78715143,1 +136387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.237674953,1 +136388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.763857508,1 +136389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.496007306,1 +136390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.284349466,1 +136391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.558373511,1 +136392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.975144375,1 +136393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.175028306,1 +136394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.078374364,1 +136396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.152910597,1 +136397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.978200661,1 +136398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.330797533,1 +136395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.293455946,1 +136401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.551490048,1 +136399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.99906512,1 +136400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.402166597,1 +136402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.726389821,1 +136403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.650005271,1 +136404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.671447181,1 +136405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.447742889,1 +136407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.264566108,1 +136408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.121965249,1 +136406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.364196787,1 +136409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.028634652,1 +136410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.072872291,1 +136411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.019444289,1 +136413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.806983916,1 +136412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,1.979652111,1 +136414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.216893978,1 +136415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.576563255,1 +136417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.146442592,1 +136416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.205516779,1 +136418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.987359828,1 +136419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.979472833,1 +136422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.918487751,1 +136423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.304544085,1 +136421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.436346205,1 +136420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.736722348,1 +136426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.864231035,1 +136425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.13620622,1 +136424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.793868688,1 +136427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.645890732,1 +136428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.745535774,1 +136430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.888840087,1 +136429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.836082477,1 +136431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.023552331,1 +136432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.45168322,1 +136433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.638035327,1 +136434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.941710987,1 +136437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.10035216,1 +136436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,8.298460002,1 +136438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.230807492,1 +136435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.960242016,1 +136440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.711733558,1 +136439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.377224768,1 +136441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.389308591,1 +136442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.538253579,1 +136443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.722599601,1 +136444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.821022512,1 +136445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.004794962,1 +136446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,7.192370349,1 +136448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.501230856,1 +136447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.343429555,1 +136449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.660931183,1 +136451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.200603374,1 +136452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.413299836,1 +136450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.446041516,1 +136453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.336378231,1 +136454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.03472796,1 +136455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.474592402,1 +136457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.098081104,1 +136456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.258889987,1 +136458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.453251993,1 +136459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.846908655,1 +136461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.670254142,1 +136460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.012109742,1 +136462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.464555896,1 +136463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.417947106,1 +136464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.94486773,1 +136465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.747188408,1 +136466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.603261267,1 +136468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.380611992,1 +136469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.36118707,1 +136467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.189255396,1 +136470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.306469959,1 +136472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.480673907,1 +136473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,1.943768492,1 +136471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.315362968,1 +136474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.362646987,1 +136476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.042571434,1 +136477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.247843264,1 +136475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.588694174,1 +136478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.088186632,1 +136481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.132589558,1 +136482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.489093246,1 +136483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.943667525,1 +136479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.178595168,1 +136484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.187115103,1 +136480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.149540845,1 +136485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.58386395,1 +136486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,7.135650427,1 +136487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.828697871,1 +136489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.614915458,1 +136488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.137952083,1 +136490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.969810612,1 +136492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.486162327,1 +136491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.569519619,1 +136493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.725410786,1 +136494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.287376987,1 +136495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.271799323,1 +136496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.708195329,1 +136498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.174493213,1 +136500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.00700145,1 +136501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.651840631,1 +136502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.35300717,1 +136497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.920168023,1 +136499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.427637153,1 +136503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.445202192,1 +136505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.32353064,1 +136506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.844057864,1 +136504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.521806711,1 +136508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.238737946,1 +136507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.974220936,1 +136510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.726892118,1 +136509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.948462393,1 +136512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.251063377,1 +136513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.67953963,1 +136514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.242716913,1 +136515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.065973483,1 +136511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,8.041699673,1 +136517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.850988183,1 +136518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.788093433,1 +136516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.761841452,1 +136519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.901978931,1 +136520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.708432079,1 +136523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.467317512,1 +136522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.731047734,1 +136526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.021671068,1 +136521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.940994083,1 +136524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,1.876529113,1 +136525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.413068083,1 +136527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.972447868,1 +136528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.93947842,1 +136529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.151480168,1 +136532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.067716487,1 +136533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.339984333,1 +136530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.266877603,1 +136534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.123799632,1 +136531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.573460346,1 +136535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.087014017,1 +136536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.934048059,1 +136538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.600692357,1 +136537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.795195682,1 +136539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.579919424,1 +136541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.793651687,1 +136540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.726269905,1 +136542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.013140235,1 +136543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.370750223,1 +136544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.914641648,1 +136545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.783632713,1 +136546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.606149225,1 +136547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.29400597,1 +136549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.595991339,1 +136550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.10102749,1 +136551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.06203065,1 +136548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.826611751,1 +136553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.948527181,1 +136555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.906062589,1 +136552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.869840691,1 +136554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.114564428,1 +136556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.313655417,1 +136557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.868385408,1 +136559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.988921239,1 +136558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.567609588,1 +136560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.737998504,1 +136561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.160791545,1 +136562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.076123975,1 +136563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.167560635,1 +136564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.200363043,1 +136566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.248521132,1 +136567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.303481224,1 +136568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.455597977,1 +136565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.74374402,1 +136569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.697794437,1 +136570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.155174879,1 +136571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.306348874,1 +136572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,1.736645547,1 +136573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.933856576,1 +136574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.609553085,1 +136576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.256913667,1 +136575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.07027423,1 +136577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.628192163,1 +136578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,7.350099529,1 +136579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.374710665,1 +136580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.679391299,1 +136581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.259171613,1 +136582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.79292174,1 +136583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.688756119,1 +136585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.918286229,1 +136584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.542099793,1 +136587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.87936888,1 +136586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.51567446,1 +136588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.757253298,1 +136589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.676116253,1 +136590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.300284738,1 +136591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.2704394,1 +136592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.478521952,1 +136594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.618385646,1 +136593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.997557877,1 +136595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.839033079,1 +136596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.285380977,1 +136599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.158450378,1 +136600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.293877471,1 +136597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.473273585,1 +136598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.494742561,1 +136602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.654870141,1 +136603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,1.947683098,1 +136601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.181186992,1 +136604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,7.022066117,1 +136605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.732825915,1 +136606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.808050467,1 +136607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.848164379,1 +136609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.500800925,1 +136610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.447269577,1 +136608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.753211188,1 +136611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.026875579,1 +136612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.351836239,1 +136613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.617980912,1 +136614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.620347109,1 +136615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.757611961,1 +136616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.606471397,1 +136617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.49509848,1 +136618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.502089731,1 +136620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.369673085,1 +136621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.999573283,1 +136622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.212854823,1 +136619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.776165755,1 +136623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.03946847,1 +136624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.898882083,1 +136627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.918789704,1 +136625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.456416027,1 +136626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.676500731,1 +136628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.485478886,1 +136630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.676418329,1 +136629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.400028067,1 +136631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.495578374,1 +136632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.983054512,1 +136633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.563644188,1 +136634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.98910066,1 +136635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.984275398,1 +136636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.220792059,1 +136637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.155467793,1 +136640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.777627924,1 +136641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.327325076,1 +136639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,7.029326139,1 +136638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.334375147,1 +136642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.002455478,1 +136643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.810849492,1 +136644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.293718234,1 +136645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.097566704,1 +136648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.093502229,1 +136647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.685472515,1 +136649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.511348547,1 +136646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.142868255,1 +136651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.749500414,1 +136650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.983248691,1 +136652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.347597097,1 +136653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.869169679,1 +136654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.572177332,1 +136655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.505109123,1 +136657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.01611398,1 +136658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.193024135,1 +136659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.299983279,1 +136660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.970778427,1 +136656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.700765448,1 +136664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.327926505,1 +136661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.158369682,1 +136663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.134870787,1 +136662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.836794608,1 +136665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.237297865,1 +136666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.421607132,1 +136667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.759075198,1 +136668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.224592213,1 +136669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.449615589,1 +136670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.006867569,1 +136671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.408675434,1 +136672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.3104045,1 +136674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.830092613,1 +136675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.772580284,1 +136673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.658800538,1 +136676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.18172765,1 +136679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.657270154,1 +136677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.485499592,1 +136678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.12045261,1 +136680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.78535038,1 +136681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.31203058,1 +136682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,7.002712674,1 +136683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.512333713,1 +136684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.611036241,1 +136685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.311269018,1 +136686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.325026352,1 +136687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.342905455,1 +136688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.477051344,1 +136690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.799244094,1 +136691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.885981964,1 +136689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.183226131,1 +136694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.83194343,1 +136693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.879402952,1 +136695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.646223531,1 +136697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.212117571,1 +136696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.321635769,1 +136698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.459601969,1 +136692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.710494585,1 +136699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.687232705,1 +136700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.506602551,1 +136701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.204481772,1 +136704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.272015819,1 +136703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,1.89068135,1 +136702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.074652588,1 +136705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.74492178,1 +136706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.529408481,1 +136708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.625519229,1 +136707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.347946133,1 +136710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,7.214123115,1 +136709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.20402695,1 +136711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.036680849,1 +136712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.791386437,1 +136714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.979928744,1 +136713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.16009182,1 +136716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.911118216,1 +136717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.271290835,1 +136718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.775033245,1 +136719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.698100396,1 +136720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.966699757,1 +136721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.606634713,1 +136715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.037394785,1 +136722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.025405336,1 +136725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.89985958,1 +136723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,1.085605668,1 +136724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.096568865,1 +136726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.705790972,1 +136727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.004366229,1 +136728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,1.937059439,1 +136729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.741318494,1 +136730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.383557265,1 +136732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.997935823,1 +136731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.969573085,1 +136733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.755708852,1 +136734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.579304425,1 +136735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.869558323,1 +136737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.575779608,1 +136738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.254449514,1 +136736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.13827485,1 +136740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.136453313,1 +136739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.182847893,1 +136741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.691885876,1 +136743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.29093655,1 +136742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.434794288,1 +136744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.445882111,1 +136745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.011690787,1 +136746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.192583943,1 +136748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.241269712,1 +136749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.177942381,1 +136747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.600607423,1 +136750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.260188927,1 +136751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.136576527,1 +136752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.026902166,1 +136754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.900720161,1 +136753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.02752852,1 +136755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.036031268,1 +136757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.087589759,1 +136758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.537427021,1 +136759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.258448221,1 +136756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.237893541,1 +136760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.052595635,1 +136762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.187793539,1 +136761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.769915115,1 +136764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.370352426,1 +136763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.949397833,1 +136765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.317719268,1 +136766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.575562405,1 +136768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.652190645,1 +136767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.428943436,1 +136771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.049404227,1 +136769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.856132336,1 +136770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.354363633,1 +136772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.329522102,1 +136776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.802796745,1 +136775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.059213128,1 +136774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.463733382,1 +136777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.998105652,1 +136778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.342549088,1 +136773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.768107539,1 +136779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.026095775,1 +136780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.595234803,1 +136781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.850076807,1 +136783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.880744264,1 +136782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.303429167,1 +136784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.365718206,1 +136787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.241923514,1 +136785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.489352088,1 +136786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,1.955572052,1 +136788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.473849091,1 +136789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.698828613,1 +136790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.364844472,1 +136791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.429654675,1 +136792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.702194533,1 +136794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.182259998,1 +136795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.499039786,1 +136796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.416386958,1 +136793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.176464423,1 +136797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.085537417,1 +136798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.313496703,1 +136800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.134172318,1 +136801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.714841265,1 +136799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.776370468,1 +136802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.39983647,1 +136803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.584207267,1 +136805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.469841435,1 +136804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.269761651,1 +136807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.38549745,1 +136806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.972260556,1 +136808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.742400016,1 +136809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.551438583,1 +136811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.987599068,1 +136812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.594259195,1 +136813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.868965913,1 +136810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.29189525,1 +136817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.401789945,1 +136815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.529223153,1 +136814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.883441622,1 +136816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,7.694872434,1 +136818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.515422369,1 +136819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.072328651,1 +136820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.137572357,1 +136821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.520898422,1 +136822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.912545768,1 +136823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.359423195,1 +136824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.435375579,1 +136825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.017738652,1 +136826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,1.446367392,1 +136827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.309915113,1 +136829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.669180096,1 +136828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.606570266,1 +136830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.794170206,1 +136831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.451520275,1 +136832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.958024372,1 +136833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.859013427,1 +136835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.87770594,1 +136834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.400196559,1 +136836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.029481659,1 +136837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.906817036,1 +136838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.612757473,1 +136839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.170926713,1 +136840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.104855321,1 +136843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.438547384,1 +136841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.40106512,1 +136842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.000301346,1 +136844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.502070219,1 +136847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.92971888,1 +136845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.392601029,1 +136848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.875023144,1 +136846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.904944788,1 +136849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.594951915,1 +136850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.747051486,1 +136851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.28536305,1 +136852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.283613132,1 +136853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.867860166,1 +136855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.965396404,1 +136854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.96150332,1 +136856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.555641638,1 +136857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.478441766,1 +136858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.863864607,1 +136860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.006754212,1 +136859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.683891846,1 +136861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.43395369,1 +136862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.670360862,1 +136863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.296686206,1 +136865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.776174874,1 +136866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,7.399967599,1 +136867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.7043121,1 +136864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.175299529,1 +136868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.732102758,1 +136869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.349656149,1 +136870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.311043131,1 +136872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.294654298,1 +136874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.999958753,1 +136873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,1.828154302,1 +136871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.441419693,1 +136876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.835653797,1 +136877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.421875252,1 +136875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.57036965,1 +136878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.628827064,1 +136879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.333827317,1 +136881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.101165626,1 +136880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.639473782,1 +136882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.947017767,1 +136883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.634014091,1 +136884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.302139182,1 +136885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.899242369,1 +136887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.315146847,1 +136888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.561091405,1 +136889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,7.309549761,1 +136891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.837889693,1 +136890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.787667123,1 +136886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.767979639,1 +136892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.192814394,1 +136894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.166042327,1 +136895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.576578843,1 +136893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.867190589,1 +136896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.534913121,1 +136897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.082266444,1 +136898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.99488372,1 +136899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.324554413,1 +136900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,1.939710387,1 +136901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.0903369,1 +136903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,1.600328132,1 +136904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.455504485,1 +136905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.998468963,1 +136906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.867222993,1 +136902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.597795027,1 +136907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.948927149,1 +136909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.627450755,1 +136910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.879098673,1 +136908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.8374198,1 +136911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.126907636,1 +136912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.537958823,1 +136914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,1.674664952,1 +136913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.021949893,1 +136915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.510285779,1 +136916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.806629775,1 +136917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.756516103,1 +136918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.756371166,1 +136920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.284435532,1 +136919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.75435463,1 +136921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.009271172,1 +136923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.792875019,1 +136922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.268904294,1 +136924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.071192461,1 +136925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.968596859,1 +136926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.005459792,1 +136927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.531452103,1 +136928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.738746259,1 +136929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.736088345,1 +136930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.533150995,1 +136932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.757247904,1 +136933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.282944019,1 +136934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.289640933,1 +136931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.036396104,1 +136935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.569473544,1 +136936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.274659415,1 +136937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.615972404,1 +136938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.652848389,1 +136939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.20440498,1 +136941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.59443456,1 +136940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.155696443,1 +136942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.377584792,1 +136943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.905763346,1 +136944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.174340226,1 +136945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.597094927,1 +136948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.94963491,1 +136947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.516629499,1 +136946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.72066992,1 +136949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.764272068,1 +136951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.384386466,1 +136952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.466621208,1 +136953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,6.26954877,1 +136950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.596201651,1 +136954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.200995219,1 +136956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.372282232,1 +136957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.12817024,1 +136955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.410663347,1 +136958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.426130027,1 +136959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.049394401,1 +136960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.472735854,1 +136961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.362137742,1 +136962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.587404604,1 +136963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.424604419,1 +136964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.033243456,1 +136965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.99554005,1 +136966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.592335081,1 +136967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.37168537,1 +136968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.396448428,1 +136971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.804389954,1 +136970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.96332169,1 +136969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.417781551,1 +136972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.718549659,1 +136974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.621862257,1 +136975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.521288601,1 +136977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.030884217,1 +136976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,7.223811144,1 +136978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.306840209,1 +136973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.307117299,1 +136979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.725756386,1 +136981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.269822405,1 +136980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,1.928027149,1 +136982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.61377114,1 +136983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.747484838,1 +136984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.380854191,1 +136985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.722483623,1 +136986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.171516476,1 +136987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.458346028,1 +136988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.180436051,1 +136989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.378622748,1 +136990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.237975629,1 +136991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.62138048,1 +136992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,2.269916967,1 +136993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.221379378,1 +136995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.276655093,1 +136996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.877595623,1 +136997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.398487541,1 +136994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,4.02616779,1 +137000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,5.605242353,1 +136998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.164370826,1 +136999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,7,1,3.100500022,1 +146001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,9.724126454,1 +146002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.727665834,1 +146005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.757738448,1 +146004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.947249269,1 +146006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.144387909,1 +146003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.398464787,1 +146008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.814703896,1 +146007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.629668391,1 +146009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.488520685,1 +146011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.284249017,1 +146012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.760931516,1 +146013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.496562879,1 +146010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.148286214,1 +146014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,0.839907269,1 +146015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.699656845,1 +146017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.967045531,1 +146018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.065590285,1 +146019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.455618738,1 +146016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.037193601,1 +146021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.038497092,1 +146020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.052733568,1 +146023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.290402655,1 +146022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.931634412,1 +146024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.316557344,1 +146025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.089859312,1 +146027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.67473751,1 +146028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.952999777,1 +146026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.490783954,1 +146030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.532721144,1 +146031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.313440559,1 +146029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.815357786,1 +146032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.109183243,1 +146033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.750157816,1 +146034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.654070358,1 +146036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.128227338,1 +146035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.054755147,1 +146037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.119967003,1 +146039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.214300329,1 +146038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.074102536,1 +146040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.496588787,1 +146042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.617626123,1 +146043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.702290324,1 +146041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.114669124,1 +146046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.365873286,1 +146047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.495214454,1 +146045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.90570055,1 +146044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.676174109,1 +146049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.998577417,1 +146048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,7.947436189,1 +146050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.217070876,1 +146052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.537536077,1 +146051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.712507855,1 +146054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.490493677,1 +146053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.776165508,1 +146056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.577538929,1 +146055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.390465723,1 +146057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.444343306,1 +146058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.920477522,1 +146059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.821783461,1 +146060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.841125091,1 +146062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.902003846,1 +146063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.351331619,1 +146061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.781712747,1 +146065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.797686846,1 +146066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.916682964,1 +146067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.902845708,1 +146064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.012227517,1 +146068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.648457345,1 +146070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.196964093,1 +146071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.604745516,1 +146069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.217267198,1 +146072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,7.670075794,1 +146073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.145874529,1 +146075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.63655878,1 +146076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.915113816,1 +146074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.049537277,1 +146078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,1.99140112,1 +146077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.980165801,1 +146079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.118037607,1 +146080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.366319222,1 +146081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.699742923,1 +146083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.753338805,1 +146082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.268661009,1 +146085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.519142817,1 +146086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.140646398,1 +146087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.946288301,1 +146084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.880350408,1 +146088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.629502105,1 +146090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.808842085,1 +146089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.190708301,1 +146091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.155822847,1 +146092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.119849581,1 +146093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.52056744,1 +146094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.039218047,1 +146095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.166652295,1 +146096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.724733274,1 +146098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.940228175,1 +146099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.040631955,1 +146100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.761092579,1 +146097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.82895091,1 +146101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.855552564,1 +146104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.51193557,1 +146103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.52213352,1 +146105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.312751051,1 +146106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.917199116,1 +146107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.97826815,1 +146108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.652749061,1 +146102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.749439894,1 +146109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.275928296,1 +146110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.544671552,1 +146111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.107111323,1 +146112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.153739582,1 +146113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.726905731,1 +146115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.087360316,1 +146114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.665686945,1 +146116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.738922287,1 +146118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.717671269,1 +146117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.73999148,1 +146119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.66563205,1 +146122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,7.327239509,1 +146120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.08055613,1 +146121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.604942297,1 +146123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.974028715,1 +146124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.367492673,1 +146126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.352221583,1 +146127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.149788023,1 +146125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.677694698,1 +146128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.114999095,1 +146129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.361948999,1 +146130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.452624824,1 +146132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.639684909,1 +146131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.235924244,1 +146133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.545895756,1 +146134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.918739318,1 +146135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.126186455,1 +146136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.919178342,1 +146137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.133291829,1 +146138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.108680043,1 +146139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.411885475,1 +146141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.017876179,1 +146142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.599365206,1 +146140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.974567639,1 +146143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.780404177,1 +146144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.641344225,1 +146147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,8.157763367,1 +146146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.486707735,1 +146145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.4097012,1 +146148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,8.044314853,1 +146149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.411000338,1 +146150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.994171102,1 +146151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.532954623,1 +146152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,1.914617358,1 +146153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.294080146,1 +146154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.494305235,1 +146155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.30264029,1 +146156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.026852189,1 +146157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.787113645,1 +146159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.148993615,1 +146158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.594022168,1 +146160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.567180544,1 +146162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.177642087,1 +146161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.356782568,1 +146163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.448159815,1 +146164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.839796094,1 +146165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,7.134504709,1 +146166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.913866989,1 +146167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.942049294,1 +146168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.446723362,1 +146170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.656270295,1 +146169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.319708741,1 +146171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.862533253,1 +146172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.64044837,1 +146173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.229425031,1 +146174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.912942906,1 +146176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.006880836,1 +146177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.113641562,1 +146175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.000167113,1 +146178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.622394566,1 +146179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.713441428,1 +146180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.078378569,1 +146182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.142085721,1 +146181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.395395068,1 +146183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.775314996,1 +146185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.947956518,1 +146186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.347469712,1 +146184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.589566124,1 +146187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.835654057,1 +146188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.883876138,1 +146189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.964028198,1 +146190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.871669846,1 +146191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.638900868,1 +146192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.117191583,1 +146194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.189240212,1 +146193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.365495448,1 +146195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.083756756,1 +146197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.049805842,1 +146196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.581063174,1 +146199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.206465751,1 +146198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.852522864,1 +146200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.657774287,1 +146201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.497874309,1 +146202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.110648187,1 +146203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.477978777,1 +146204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.798797556,1 +146205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.7660431,1 +146206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.958872332,1 +146209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.006399874,1 +146207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.002560428,1 +146208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.013904559,1 +146210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.687221714,1 +146211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.355429605,1 +146213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.082946586,1 +146212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.367439692,1 +146214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.660376452,1 +146215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.801103252,1 +146216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.191767421,1 +146217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.667095256,1 +146218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.997582634,1 +146219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.721533842,1 +146220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.367619117,1 +146221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.703656287,1 +146223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.227207735,1 +146222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.513811073,1 +146224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.453857053,1 +146226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.958016252,1 +146227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.085191338,1 +146225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.415972546,1 +146228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.661375486,1 +146230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.544683807,1 +146229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.721299665,1 +146232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.210250024,1 +146231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,9.062980317,1 +146233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.160934104,1 +146234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.702291304,1 +146235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.738122432,1 +146237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,1.529628459,1 +146236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.097216709,1 +146239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.864198732,1 +146238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.064013515,1 +146241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.861815413,1 +146243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.763606822,1 +146240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.911738604,1 +146242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.765284127,1 +146247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.449274407,1 +146245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.49459277,1 +146246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.955786005,1 +146249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.843620952,1 +146248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.203495828,1 +146250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.358686294,1 +146244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.832208145,1 +146253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.786349116,1 +146251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.31765985,1 +146252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.606708309,1 +146254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.28307662,1 +146255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.494839952,1 +146256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.763460256,1 +146257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.442443719,1 +146258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.20245997,1 +146260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.176621022,1 +146259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.369577604,1 +146261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.749198285,1 +146263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.818093115,1 +146264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.109633071,1 +146265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.293620202,1 +146266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.523056207,1 +146267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.389524431,1 +146262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.849710615,1 +146268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.054319592,1 +146270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.676998533,1 +146269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.844230836,1 +146271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.128396407,1 +146272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.132202099,1 +146273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.606493762,1 +146275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,1.226422012,1 +146274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.096653631,1 +146276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.84669134,1 +146279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.682222601,1 +146277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,7.56731319,1 +146278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.911637961,1 +146280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.227738928,1 +146281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.494251946,1 +146283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.441855681,1 +146284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.213065481,1 +146282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,1.328804813,1 +146286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.497939604,1 +146285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.00640355,1 +146287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.917407891,1 +146288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.825348483,1 +146289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.420805741,1 +146290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.892830139,1 +146291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,1.959237748,1 +146292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.95435117,1 +146293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.00144371,1 +146294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.790126406,1 +146295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.38540768,1 +146296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.351932864,1 +146297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.604878822,1 +146298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.363041008,1 +146299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.02470879,1 +146300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.433923877,1 +146301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.667758781,1 +146303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.792352501,1 +146302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.911974933,1 +146305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.264654791,1 +146304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.478329607,1 +146307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.949070207,1 +146306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.538897447,1 +146308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.140703207,1 +146310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.451247172,1 +146309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.82097752,1 +146311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.108751658,1 +146312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.69009357,1 +146313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.505149247,1 +146315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.637790321,1 +146314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.353508726,1 +146316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.529758132,1 +146317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.643557601,1 +146319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.845393291,1 +146320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.985193086,1 +146321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,7.042293719,1 +146322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,1.799825393,1 +146323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.257438827,1 +146324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.108843934,1 +146318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.132831538,1 +146327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.222799088,1 +146326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.364805778,1 +146325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.281245222,1 +146328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.622162286,1 +146329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.509052352,1 +146330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.699473413,1 +146332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.787131084,1 +146331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.04264624,1 +146333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.764588184,1 +146335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.157387889,1 +146334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.431416999,1 +146337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.022653419,1 +146336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.288097569,1 +146339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.402598748,1 +146340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.332698739,1 +146342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.559351266,1 +146341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.1947656,1 +146338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.256551771,1 +146343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.765720709,1 +146346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.625423277,1 +146345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.991817968,1 +146347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.946190118,1 +146344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.066063305,1 +146348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.701186962,1 +146350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.855329077,1 +146351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.680802126,1 +146352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.144351109,1 +146349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.074480772,1 +146353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.663762102,1 +146354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.556180189,1 +146357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.941379376,1 +146358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.922746526,1 +146356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.744472218,1 +146355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.63205094,1 +146361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.405204217,1 +146359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.191482579,1 +146362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.278147622,1 +146360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.133719303,1 +146363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.745391753,1 +146364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.130802732,1 +146365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.811684572,1 +146366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.712493575,1 +146369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.318202142,1 +146368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.07629811,1 +146370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.595498782,1 +146372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.286768616,1 +146371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.874089915,1 +146373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.788881688,1 +146367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.578019356,1 +146376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.299708663,1 +146377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.896254798,1 +146374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.785027747,1 +146375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.789491399,1 +146380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.316912281,1 +146379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.925909258,1 +146378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.196216824,1 +146381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.323800985,1 +146382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.408035801,1 +146383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.146469592,1 +146384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,1.510525121,1 +146385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.560973657,1 +146386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.717338538,1 +146388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.001941576,1 +146391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.398015495,1 +146389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.05772129,1 +146390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.459850557,1 +146387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.125425721,1 +146392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.435781934,1 +146394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.777411556,1 +146393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.354163077,1 +146395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.29930314,1 +146396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.478234233,1 +146397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.200740123,1 +146398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,1.762753174,1 +146399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.546311103,1 +146400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.107954772,1 +146402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.494761496,1 +146403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.307549633,1 +146404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.765659971,1 +146405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.545249048,1 +146406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.88248702,1 +146401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.418260184,1 +146410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.678666569,1 +146407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.767358675,1 +146408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.76656542,1 +146409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.094595035,1 +146412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.30627443,1 +146411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.889985459,1 +146413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.37924409,1 +146414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.140992578,1 +146415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.52238027,1 +146416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.743696387,1 +146417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.736784976,1 +146418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.996465197,1 +146419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.894103865,1 +146421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.458437166,1 +146422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.335218903,1 +146420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.775870811,1 +146423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.972425987,1 +146426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.310356194,1 +146424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.421363769,1 +146425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.340869924,1 +146427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.425112059,1 +146428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.033882023,1 +146429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.509513328,1 +146430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.204736584,1 +146431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.339566105,1 +146433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.259444875,1 +146432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.598013229,1 +146434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.798569013,1 +146435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.312316467,1 +146436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.81797505,1 +146438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.542703564,1 +146437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.848664184,1 +146439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.353995161,1 +146440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.874707535,1 +146441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.276242415,1 +146442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.214814373,1 +146443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.04107948,1 +146444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.450579905,1 +146445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.390627465,1 +146447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.895619458,1 +146446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.332913419,1 +146448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.536311641,1 +146449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.181823882,1 +146451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.01777091,1 +146452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.56069857,1 +146453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.215198842,1 +146450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.015633258,1 +146454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.603008144,1 +146455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.812330936,1 +146457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.80901948,1 +146456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.031706413,1 +146459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.557726902,1 +146460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.073760929,1 +146461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.974920262,1 +146458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.934427162,1 +146464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.892006385,1 +146463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.414938297,1 +146462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.567329628,1 +146465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.118824131,1 +146466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.910729817,1 +146468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.236100971,1 +146467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.618974154,1 +146469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.508699042,1 +146471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.061185632,1 +146472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.251247207,1 +146470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.085646097,1 +146474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.373347738,1 +146476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.343198991,1 +146475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.299975515,1 +146477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.001801722,1 +146478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.866272935,1 +146479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.689252514,1 +146473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.170147868,1 +146480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.848738798,1 +146482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.867048379,1 +146481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.20114035,1 +146483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.180284412,1 +146485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.820361999,1 +146484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.228666772,1 +146487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.936632915,1 +146486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.90263309,1 +146489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.037948907,1 +146488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.141708987,1 +146491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.566708272,1 +146493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.588597388,1 +146492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,7.718058453,1 +146494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.373890021,1 +146495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.253171306,1 +146496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.985235221,1 +146490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.521338455,1 +146497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.463365321,1 +146498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.257948427,1 +146500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.908958883,1 +146499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.010607862,1 +146501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.28977581,1 +146502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,8.104372245,1 +146504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,1.830227191,1 +146503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.293008626,1 +146505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.258900297,1 +146506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.972552913,1 +146508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.002755927,1 +146507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.940691049,1 +146509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.933459983,1 +146510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.900444725,1 +146512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.01396888,1 +146513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.003496036,1 +146514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.42542076,1 +146511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.015830198,1 +146515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.022901119,1 +146516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.154016438,1 +146517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.650287061,1 +146518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.578714804,1 +146519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.605711473,1 +146520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.236986222,1 +146521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.834768342,1 +146522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.077439951,1 +146523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.347572569,1 +146524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,1.228710251,1 +146525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.747265169,1 +146527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.301813843,1 +146528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.980881086,1 +146526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.605276385,1 +146530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.407001888,1 +146529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.504709815,1 +146531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.155319731,1 +146532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.304026934,1 +146533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.854377441,1 +146535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.696386285,1 +146534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.992974222,1 +146537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.167792506,1 +146536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.432224661,1 +146538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.238269706,1 +146539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.854493521,1 +146540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.082241678,1 +146541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.191797262,1 +146542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.455960158,1 +146543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.32021089,1 +146544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.753620533,1 +146546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.427694303,1 +146547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.191412584,1 +146545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.395021458,1 +146548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.395317905,1 +146549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.2296482,1 +146550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.687146654,1 +146552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.323566245,1 +146551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.30657489,1 +146554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.980590567,1 +146553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.12978367,1 +146555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.898466812,1 +146556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.45683496,1 +146557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.454295876,1 +146558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.76146919,1 +146559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.185779536,1 +146560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.640057421,1 +146561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.725971607,1 +146562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.463884354,1 +146563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.108848196,1 +146565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.100839385,1 +146566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.747660241,1 +146567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.987888031,1 +146564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,7.239747229,1 +146568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.694346883,1 +146569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.974714544,1 +146570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.046880534,1 +146571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.571066819,1 +146572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.871133188,1 +146573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,7.014205956,1 +146574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.578167716,1 +146575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.823062506,1 +146577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.227470572,1 +146576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.385293836,1 +146578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,1.98653143,1 +146581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.478171735,1 +146580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,1.998106322,1 +146582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.155780081,1 +146579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.548494048,1 +146583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.910195459,1 +146584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.132908286,1 +146585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.639849058,1 +146586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.613097312,1 +146588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.662413249,1 +146587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.759693148,1 +146589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.458062863,1 +146590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.942525835,1 +146593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.277939616,1 +146591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.070710677,1 +146592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,1.972154116,1 +146594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.32870507,1 +146595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.821970614,1 +146596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.943633346,1 +146597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.148434205,1 +146599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.866997268,1 +146600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.330428514,1 +146601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.366560967,1 +146598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.551044159,1 +146602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.580381287,1 +146603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.096601271,1 +146604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.619154488,1 +146605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.218701386,1 +146608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.544952461,1 +146607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,8.20056821,1 +146606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.699307743,1 +146609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.476153743,1 +146610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.43036483,1 +146611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.840217895,1 +146612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.660120355,1 +146613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.672884348,1 +146614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.464602894,1 +146615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.509541019,1 +146616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.720974127,1 +146619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.701131503,1 +146618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.872097995,1 +146620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.387936651,1 +146617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.901673439,1 +146621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.933784767,1 +146623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,7.058301921,1 +146622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.058870585,1 +146624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.74676153,1 +146625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.857023806,1 +146626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.845276812,1 +146627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.277500906,1 +146628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.562022539,1 +146629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.282190634,1 +146630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.74692911,1 +146631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.224189367,1 +146633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.427984837,1 +146634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.497132008,1 +146635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.19527033,1 +146632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.617374042,1 +146637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.967556594,1 +146636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,7.416519483,1 +146638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.310332709,1 +146639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.801722798,1 +146640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.247496081,1 +146641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.755550817,1 +146642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.806905812,1 +146644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.760703283,1 +146643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.915046267,1 +146645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.051568653,1 +146646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.856508613,1 +146647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.565510139,1 +146648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.643540923,1 +146649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.193275844,1 +146650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.755452066,1 +146651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.314653551,1 +146653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.555934198,1 +146654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.247542877,1 +146652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.510808399,1 +146655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.624073712,1 +146656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.816666484,1 +146657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.277303609,1 +146658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,8.021223139,1 +146659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.427262832,1 +146660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.618297694,1 +146661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.780494417,1 +146663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.816119831,1 +146662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.058363739,1 +146664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,7.43561983,1 +146665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.70994365,1 +146666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.108811518,1 +146668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.928257006,1 +146667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.229665053,1 +146669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.46094641,1 +146670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.318608541,1 +146671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.995533783,1 +146673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.676357169,1 +146672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.331979935,1 +146674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.062778546,1 +146675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.656350291,1 +146676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.045641462,1 +146678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.619090945,1 +146677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.974667648,1 +146679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.414619101,1 +146681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.844041339,1 +146680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.042699072,1 +146683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.329580502,1 +146682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.808276045,1 +146685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.628426394,1 +146684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.85791259,1 +146686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.501965904,1 +146688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.778119203,1 +146689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.199792053,1 +146690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.604096768,1 +146691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.054941909,1 +146692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.212684941,1 +146687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.739035644,1 +146693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.478165576,1 +146695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.591834037,1 +146694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.469773933,1 +146696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.157435795,1 +146698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.198100624,1 +146699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.05070502,1 +146697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,1.97822309,1 +146700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.425912751,1 +146701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.237447952,1 +146702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.069620965,1 +146703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.124375431,1 +146704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.814985761,1 +146705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.96990953,1 +146706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,1.156673952,1 +146707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.554073489,1 +146709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.84538926,1 +146710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.602634517,1 +146711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.610899483,1 +146708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.786551621,1 +146712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.833413767,1 +146714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.940075632,1 +146713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.467803723,1 +146715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.013937406,1 +146716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.408966116,1 +146717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.311363269,1 +146718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.027888785,1 +146719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.244925515,1 +146720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.596627286,1 +146721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.872902109,1 +146722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.783180202,1 +146724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.513763723,1 +146725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.689063801,1 +146726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.420012813,1 +146723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.420724352,1 +146727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.422865337,1 +146728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.34100493,1 +146729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.765973026,1 +146730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.212605586,1 +146731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.014192764,1 +146732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.3612639,1 +146733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.496081875,1 +146734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.262434958,1 +146735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.154611009,1 +146736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.405893303,1 +146737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.654873568,1 +146738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.608160112,1 +146739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.538774035,1 +146741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.246858985,1 +146740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.29695937,1 +146743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.027779209,1 +146744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.043755681,1 +146742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.575592511,1 +146746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.114210272,1 +146745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.328225519,1 +146747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.461029487,1 +146748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.606773429,1 +146749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.523439887,1 +146751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.236359107,1 +146750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.498741436,1 +146753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.710579446,1 +146752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.233414616,1 +146754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.408396624,1 +146756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.527178451,1 +146757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.957764862,1 +146755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.42177515,1 +146761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.834729967,1 +146759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.508179311,1 +146758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.829644183,1 +146760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.713396826,1 +146763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.720999287,1 +146764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.328326705,1 +146765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.42308186,1 +146766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.087858033,1 +146767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.112893912,1 +146762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.056468191,1 +146768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.539851212,1 +146769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.988725447,1 +146770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.885520109,1 +146771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.62589702,1 +146775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.634009675,1 +146773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.89086351,1 +146772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.892121735,1 +146774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.194372752,1 +146776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.943910797,1 +146777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.635032996,1 +146778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,1.777733636,1 +146779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.647283354,1 +146780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.061902265,1 +146781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.051450993,1 +146783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.707681756,1 +146782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.024817556,1 +146784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.820422254,1 +146785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.879186938,1 +146786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.036460231,1 +146787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.7360436,1 +146788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.336379807,1 +146791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.563137256,1 +146789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.217582232,1 +146790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.450095482,1 +146792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.369855884,1 +146793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.321524671,1 +146795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.084843422,1 +146794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.941726959,1 +146796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.877908427,1 +146797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.921983263,1 +146799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.428093654,1 +146798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.818457713,1 +146801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.68168268,1 +146800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.515467145,1 +146802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,7.022016535,1 +146803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.275373715,1 +146804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.438208982,1 +146805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.759056007,1 +146806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.606918309,1 +146807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.812590842,1 +146808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.380654089,1 +146809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.535372332,1 +146810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.687680413,1 +146811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.861124895,1 +146812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.668896053,1 +146815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.80368531,1 +146814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.695969219,1 +146813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.627789497,1 +146816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.577233792,1 +146817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.387726687,1 +146820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.378698132,1 +146818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.222637451,1 +146821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.726437212,1 +146819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.508918173,1 +146822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.482528778,1 +146824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.305919635,1 +146825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.360965611,1 +146826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,7.232306659,1 +146823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.29037199,1 +146827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,7.484504668,1 +146828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.573559603,1 +146829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.018674369,1 +146831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.82008911,1 +146832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.991306923,1 +146830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.653411835,1 +146836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.229406521,1 +146834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.895940165,1 +146833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.398602861,1 +146835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.953985384,1 +146837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.575111363,1 +146838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.217540953,1 +146839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.036602853,1 +146840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.121869521,1 +146842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.131406562,1 +146843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.456541242,1 +146844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.484028355,1 +146845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.890913971,1 +146841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.029827719,1 +146846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.704448511,1 +146847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.739782117,1 +146849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.966769111,1 +146848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.430114581,1 +146850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.648432951,1 +146851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.578521239,1 +146852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.991408252,1 +146853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.741171992,1 +146854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.630003783,1 +146855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,1.356791094,1 +146856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.300550925,1 +146857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.931558652,1 +146858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.507349201,1 +146859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.990599254,1 +146861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.592847882,1 +146862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.816297526,1 +146863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.308987938,1 +146860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.112766255,1 +146864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.710746419,1 +146865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.251409803,1 +146866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.529366391,1 +146867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,7.434597215,1 +146868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.001353893,1 +146870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,1.361190152,1 +146869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.741578653,1 +146871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.361591682,1 +146872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,9.092632409,1 +146874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,7.652998487,1 +146873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.985436626,1 +146875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.932623003,1 +146876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.06426054,1 +146878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,1.8851245,1 +146877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.22264064,1 +146881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.905580961,1 +146880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.755938488,1 +146882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.771223892,1 +146879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.384280453,1 +146883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.212423893,1 +146884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.003243581,1 +146885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.816529694,1 +146886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.489545682,1 +146887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.656227991,1 +146888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.753931089,1 +146889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.466598037,1 +146890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.982386642,1 +146891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.241793447,1 +146892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.624291353,1 +146893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.290930467,1 +146894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.143989052,1 +146895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.245575486,1 +146896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.036129235,1 +146899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,7.350741532,1 +146898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.204397685,1 +146897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.626466923,1 +146900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.759065321,1 +146901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.649262723,1 +146902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.51804589,1 +146904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,1.861954855,1 +146903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.439007975,1 +146905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,1.768654332,1 +146906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.497475669,1 +146907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.540780877,1 +146908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.067812516,1 +146910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.643690116,1 +146909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.314766265,1 +146911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.582942854,1 +146914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.619531652,1 +146913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.640766765,1 +146912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.103918197,1 +146915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.7413111,1 +146916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.402004698,1 +146917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.079349521,1 +146918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.661859471,1 +146919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.060295345,1 +146920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.750802849,1 +146921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.644772987,1 +146923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.847118495,1 +146922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.040464178,1 +146924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.635523389,1 +146925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.369956202,1 +146927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.242552927,1 +146929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.937924485,1 +146926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.580406309,1 +146928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.973765305,1 +146932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.055928689,1 +146931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,1.874762761,1 +146933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.421027837,1 +146934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.020325378,1 +146935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,8.005049601,1 +146930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.914087047,1 +146936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.02654164,1 +146937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.784819691,1 +146938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.968783367,1 +146940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.964874781,1 +146941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.578963716,1 +146939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.813534675,1 +146942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.776805846,1 +146943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.763745893,1 +146945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.63513575,1 +146944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.754886116,1 +146946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.190918162,1 +146947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,7.504242941,1 +146949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.194515466,1 +146950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,1.797067371,1 +146951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,7.054661074,1 +146952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.13223051,1 +146953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.19727314,1 +146948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.759846442,1 +146954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.792947595,1 +146955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.52127528,1 +146956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,1.996400011,1 +146957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.155652361,1 +146958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.591896579,1 +146959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.493272953,1 +146961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.499210309,1 +146960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.340014969,1 +146962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.544817063,1 +146963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.254374199,1 +146965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.569439774,1 +146964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.098543945,1 +146967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.345043757,1 +146966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.464747037,1 +146968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.174004995,1 +146970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.185574783,1 +146971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.21524575,1 +146972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.058459625,1 +146969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.119165526,1 +146973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.868113619,1 +146974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,1.640718942,1 +146977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.199832059,1 +146976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.717894716,1 +146975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.259707182,1 +146978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.271745592,1 +146980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.904477225,1 +146979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,5.17833236,1 +146981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.044507881,1 +146982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.008188588,1 +146983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.294449732,1 +146984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.063234025,1 +146985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.857578224,1 +146986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.273227064,1 +146989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.540190493,1 +146988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.625633187,1 +146987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.28544695,1 +146990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.709039805,1 +146991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.63813149,1 +146992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,6.359651231,1 +146993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.207328909,1 +146994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.077844315,1 +146995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.619566818,1 +146997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.009866027,1 +146996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.69744565,1 +146998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,3.129001444,1 +146999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,4.490690275,1 +147000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,7,1,2.892183166,1 +156003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.398094399,1 +156001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.641274097,1 +156002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.267727387,1 +156004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.271258154,1 +156005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.762091415,1 +156006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.136479428,1 +156007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.53368607,1 +156008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.529861664,1 +156009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.700230445,1 +156010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.315985079,1 +156011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.228425054,1 +156012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.261626111,1 +156014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.099867949,1 +156015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.202709786,1 +156013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.404170317,1 +156017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.827513728,1 +156019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.997846822,1 +156016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.06698435,1 +156018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.103595177,1 +156020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.281776405,1 +156021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,7.045868808,1 +156022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.071140353,1 +156023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.206682881,1 +156024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.360052468,1 +156025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.625127359,1 +156026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.325637467,1 +156027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.939336741,1 +156028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.65059476,1 +156031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.713921668,1 +156030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.494398863,1 +156029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.161525022,1 +156032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.591604035,1 +156034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.881027174,1 +156033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.507395123,1 +156035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.311847854,1 +156036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.865692717,1 +156037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.582133878,1 +156038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.440777076,1 +156039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.138586704,1 +156040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.961706952,1 +156042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.190666044,1 +156043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.495781956,1 +156044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.767810613,1 +156041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.245396948,1 +156045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.83949217,1 +156046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.518138678,1 +156048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.363216075,1 +156047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.984901552,1 +156049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.387603501,1 +156050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.567193101,1 +156052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.226133488,1 +156051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.687095335,1 +156053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.733854051,1 +156054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.080676113,1 +156055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.725212482,1 +156057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,8.746094099,1 +156058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.353624437,1 +156056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.135361143,1 +156059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.532672734,1 +156060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.935783793,1 +156061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.14064688,1 +156063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.403105605,1 +156062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.283799495,1 +156064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.932429996,1 +156065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.314673581,1 +156066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,0.701325067,1 +156068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.570725177,1 +156070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.41456274,1 +156069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,8.794851651,1 +156071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.566942663,1 +156073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.945421251,1 +156072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.647922719,1 +156067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.762175362,1 +156074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.261126967,1 +156076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.872875173,1 +156075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.48444551,1 +156077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.227451112,1 +156079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,7.50567678,1 +156078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,7.279744342,1 +156080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.714097368,1 +156082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.082321421,1 +156083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.656194529,1 +156084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.471780459,1 +156085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.931599742,1 +156086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.54915449,1 +156081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.401871368,1 +156087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,9.019581266,1 +156088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.497650741,1 +156089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,8.532865463,1 +156091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.062017086,1 +156092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.371276655,1 +156090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.508586297,1 +156094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.67778517,1 +156093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.750120974,1 +156095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.85859285,1 +156096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.068969585,1 +156097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.001043283,1 +156098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.128267509,1 +156099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.528205502,1 +156101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.087686811,1 +156102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.824272493,1 +156100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.038817961,1 +156103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.769638895,1 +156105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,8.467870531,1 +156104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.655758895,1 +156106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.656592588,1 +156109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.631962011,1 +156107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.684000981,1 +156108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.033305146,1 +156110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.251117876,1 +156111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.354611783,1 +156112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.079595493,1 +156113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.224568283,1 +156115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.073478558,1 +156114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.184248078,1 +156116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.672520449,1 +156117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.98323143,1 +156119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.717015682,1 +156120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.725679072,1 +156121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.335680187,1 +156118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.932095591,1 +156124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.38116007,1 +156122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.93224942,1 +156123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.567756009,1 +156125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.839670491,1 +156127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.313456936,1 +156128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.232718267,1 +156129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.45178593,1 +156126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.785948968,1 +156130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.952446565,1 +156131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.930606635,1 +156132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.623396112,1 +156133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.864960553,1 +156134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.295143855,1 +156135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.507167627,1 +156137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.923982994,1 +156136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.305122566,1 +156139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.445309851,1 +156138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.123043928,1 +156141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.518173291,1 +156140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.446580914,1 +156143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.264944975,1 +156142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.326596322,1 +156144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.850288315,1 +156145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.302340881,1 +156146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.713666108,1 +156147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.819625807,1 +156148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.447665419,1 +156149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.275086465,1 +156150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.501299309,1 +156151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.648824767,1 +156152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.903722287,1 +156153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.913702127,1 +156155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.415443665,1 +156154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.160770372,1 +156156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.788365663,1 +156158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.23573401,1 +156159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.836798372,1 +156157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.180200737,1 +156160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.972592824,1 +156161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.403903222,1 +156162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.765719965,1 +156164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.325883363,1 +156163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.460328886,1 +156165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.146604008,1 +156166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.130803884,1 +156167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.434128853,1 +156168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.075360985,1 +156169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.273474554,1 +156170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.082269363,1 +156171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.479265523,1 +156172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.82924174,1 +156173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.088122225,1 +156174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.553767547,1 +156175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.765307694,1 +156177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.170403231,1 +156178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.078702677,1 +156179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.972522466,1 +156180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.423012373,1 +156181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.413004132,1 +156176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.614175714,1 +156182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.321854056,1 +156183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.676395247,1 +156185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.201713729,1 +156184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.957652125,1 +156186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.771875783,1 +156187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.542725561,1 +156188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.929919462,1 +156189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.953562429,1 +156191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.135113312,1 +156190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.076874954,1 +156193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.223502769,1 +156194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.208721054,1 +156195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.604197378,1 +156196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.276851789,1 +156197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.18452265,1 +156198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.705500712,1 +156192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.7935976,1 +156199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.541365087,1 +156202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.272516426,1 +156200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.342629679,1 +156201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.833885092,1 +156203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,7.187372075,1 +156204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.845199619,1 +156206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.560796089,1 +156205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.599199787,1 +156207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.835211414,1 +156208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.245280321,1 +156209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.290404045,1 +156210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.781543617,1 +156213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.398766743,1 +156212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.119731011,1 +156214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.959882161,1 +156211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.92141454,1 +156216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.724533106,1 +156215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.644957354,1 +156217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.524973562,1 +156220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.576828306,1 +156218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.51373896,1 +156221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.486965971,1 +156219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.92981242,1 +156222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.772118009,1 +156224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.183571346,1 +156225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.222374824,1 +156223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.961175451,1 +156226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.533740321,1 +156227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.262868232,1 +156228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.000267884,1 +156229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.330810441,1 +156230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.810865826,1 +156231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.896435914,1 +156232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.871804099,1 +156233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.950143682,1 +156234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.148554746,1 +156236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.094257931,1 +156235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.789212151,1 +156237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.423301414,1 +156238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.478851294,1 +156239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.944285186,1 +156240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.375047135,1 +156241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.376840409,1 +156242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.482813184,1 +156243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.388496572,1 +156244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.511987194,1 +156245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.400602346,1 +156247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.932691353,1 +156246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.735317851,1 +156250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.54663766,1 +156251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.679562808,1 +156249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.141050332,1 +156252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.680104212,1 +156248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.276769153,1 +156253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.221173833,1 +156254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.613548667,1 +156255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.419512078,1 +156257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.608740856,1 +156258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.338573374,1 +156256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.601086003,1 +156261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.444316308,1 +156262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.678690459,1 +156259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.170034462,1 +156260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.377159026,1 +156263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.810920979,1 +156264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.128908287,1 +156265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.807145719,1 +156266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.75067473,1 +156267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.824603247,1 +156269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.045062175,1 +156270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.556226896,1 +156268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.486126452,1 +156272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.771561707,1 +156273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.47137517,1 +156271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.998011932,1 +156274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.429335871,1 +156275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.425456577,1 +156277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.911143919,1 +156276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.530926768,1 +156278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.367566267,1 +156279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.04337633,1 +156281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.993230764,1 +156280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.630032,1 +156282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.107709484,1 +156283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.08780326,1 +156286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,7.893150506,1 +156285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.334374436,1 +156287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.675177584,1 +156284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.580649988,1 +156288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.916133175,1 +156289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.75371143,1 +156291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.121578961,1 +156290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.323230295,1 +156292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.967052014,1 +156294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.77437916,1 +156293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.147804955,1 +156295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.005967815,1 +156296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.665782071,1 +156297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.340876935,1 +156298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.349114659,1 +156299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.475132261,1 +156301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.970557019,1 +156300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.889142113,1 +156302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.813432397,1 +156303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.953677537,1 +156305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.027155803,1 +156306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.339745942,1 +156304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.825440155,1 +156307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.993129828,1 +156308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.288607572,1 +156310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.564468032,1 +156309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.201483447,1 +156312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,7.09657236,1 +156311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.047827618,1 +156313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.55662136,1 +156315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.601614752,1 +156316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.830588759,1 +156314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.319594977,1 +156317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.836107611,1 +156318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.606104197,1 +156319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.693330294,1 +156320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.183293678,1 +156323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.496701232,1 +156322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.972951051,1 +156321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.100884914,1 +156325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.181297993,1 +156326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.575456021,1 +156327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.533405893,1 +156328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.908631633,1 +156324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.472541207,1 +156329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.952843161,1 +156330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.151718676,1 +156331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.846142407,1 +156333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.951000738,1 +156334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.498694303,1 +156335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.498860516,1 +156332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.779140149,1 +156337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,9.212687223,1 +156339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.617861539,1 +156336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.765258314,1 +156340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.756847734,1 +156341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.598189913,1 +156338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.909809496,1 +156342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.882823446,1 +156343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.073478933,1 +156345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.378726805,1 +156346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.513695967,1 +156347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.689389539,1 +156348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.33575951,1 +156349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.900926889,1 +156344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.264523228,1 +156352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.343948269,1 +156350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.588247774,1 +156351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.575972638,1 +156353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.500950857,1 +156354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.510504423,1 +156355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.471703529,1 +156356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.865111762,1 +156357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.06702383,1 +156359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.367141522,1 +156358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.68958953,1 +156360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.631932684,1 +156362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.87887162,1 +156363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.789468463,1 +156364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.09106881,1 +156361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.737333707,1 +156365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.095910738,1 +156366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.461757159,1 +156367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.790210202,1 +156368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,7.414595037,1 +156369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.914177763,1 +156370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.471433732,1 +156371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.853817577,1 +156373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.686919383,1 +156374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.054638552,1 +156372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.339135513,1 +156375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.343697525,1 +156377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.668954401,1 +156376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.348639446,1 +156378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.570771005,1 +156379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.064530391,1 +156383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.238462593,1 +156380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.813787745,1 +156381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.042482281,1 +156382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.858902467,1 +156385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.643594527,1 +156386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.362279768,1 +156384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.528271515,1 +156387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.904203422,1 +156388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.247948604,1 +156389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.132265302,1 +156390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.4361916,1 +156391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.558018211,1 +156392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.131190614,1 +156393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.513206219,1 +156394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.98082143,1 +156395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.326823338,1 +156398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.659988467,1 +156396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.985909891,1 +156397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.926965266,1 +156399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.919459485,1 +156401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.921968285,1 +156400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.332895363,1 +156402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.966301518,1 +156404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.912563459,1 +156403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.084148535,1 +156405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.473474649,1 +156406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.957102542,1 +156407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.253624586,1 +156409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.013553451,1 +156408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.256065532,1 +156410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.296272866,1 +156413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.31657892,1 +156411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.636443222,1 +156414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.301475204,1 +156415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.201992724,1 +156412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.514002352,1 +156416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.556189808,1 +156417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.027131246,1 +156418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.640840544,1 +156419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.503759489,1 +156420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.275501791,1 +156421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.453221001,1 +156422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.300705129,1 +156423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.054461102,1 +156424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.443586694,1 +156425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.144836224,1 +156426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.455808579,1 +156427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.35934137,1 +156428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.938152839,1 +156429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.222562781,1 +156430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.059323701,1 +156432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.340641093,1 +156433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.615830317,1 +156434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.342926493,1 +156431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.219692189,1 +156435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.129907598,1 +156436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.910023845,1 +156437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.774050866,1 +156439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.207888267,1 +156440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.691221973,1 +156441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.441834672,1 +156438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.48649167,1 +156444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.78600068,1 +156443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.976513695,1 +156442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,0.471010568,1 +156445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.724413057,1 +156446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.55758048,1 +156447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.942005608,1 +156448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.809781395,1 +156449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.846948882,1 +156450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.593250217,1 +156451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.951080044,1 +156452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.80607296,1 +156454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,7.061122044,1 +156455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.740326463,1 +156456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.529652477,1 +156457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.98474298,1 +156453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.704580213,1 +156458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.493193494,1 +156459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.31948088,1 +156461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.563107779,1 +156460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.777654578,1 +156462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.63579542,1 +156464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,7.209368132,1 +156463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.749421509,1 +156465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.16427327,1 +156466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.273215466,1 +156468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.690643199,1 +156469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.870664017,1 +156467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.583905017,1 +156470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.201660991,1 +156471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.75897944,1 +156472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.278728546,1 +156473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.093931078,1 +156474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.262536152,1 +156475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.251314155,1 +156476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.856503366,1 +156477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,7.938917815,1 +156478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.596011429,1 +156479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.167520103,1 +156480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.902836402,1 +156482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.871776276,1 +156483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.728070354,1 +156481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.455958217,1 +156484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.387417417,1 +156485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.047212171,1 +156486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.711507442,1 +156487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.013989499,1 +156488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.799728101,1 +156489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.646713829,1 +156490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.86828896,1 +156492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.305315912,1 +156493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.318942678,1 +156491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.511315231,1 +156494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.795667512,1 +156495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.763747779,1 +156496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.348108633,1 +156497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.847914003,1 +156498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.381420572,1 +156499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.502854165,1 +156500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.544296921,1 +156501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.264412249,1 +156502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.363026614,1 +156503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.728637658,1 +156504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.824010614,1 +156506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.803665314,1 +156505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.30341947,1 +156507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.695019344,1 +156508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.312329588,1 +156509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.882064156,1 +156510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.743372211,1 +156511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.063302542,1 +156512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.047017036,1 +156513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.358736425,1 +156514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.56358887,1 +156516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.413824175,1 +156515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.30616982,1 +156517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.776544483,1 +156518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.201008338,1 +156520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.694089644,1 +156519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.405648866,1 +156521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.261310393,1 +156523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.779168517,1 +156525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.165547772,1 +156524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.816764808,1 +156526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.1628873,1 +156527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.940579268,1 +156522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,7.949412439,1 +156528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.943069841,1 +156529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.595049823,1 +156530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.841160516,1 +156532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.106623118,1 +156531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.881622775,1 +156534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.394869517,1 +156533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.711415199,1 +156536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.733481746,1 +156535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.509337607,1 +156537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.917474018,1 +156538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.064669158,1 +156539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.885016943,1 +156540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.519804324,1 +156542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.858939148,1 +156541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.969872924,1 +156544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.221871846,1 +156545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.930052165,1 +156546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.442511801,1 +156547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.275498929,1 +156548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.539871051,1 +156549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.691643627,1 +156543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.633675509,1 +156552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.985905267,1 +156550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.132030033,1 +156551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.829640297,1 +156553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,7.56849364,1 +156554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.850601533,1 +156555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.787519084,1 +156556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.399438376,1 +156557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.420114628,1 +156558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.883392527,1 +156560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.936160904,1 +156559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.086043459,1 +156562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.966390877,1 +156564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.971864479,1 +156561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.679311029,1 +156563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.942530009,1 +156565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.891371604,1 +156566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.041256236,1 +156567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.803036312,1 +156568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.886113141,1 +156570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,7.370184479,1 +156569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.484266972,1 +156571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.50220057,1 +156572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.769231325,1 +156573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,0.531631751,1 +156574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.407453378,1 +156575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.416049576,1 +156576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.943997766,1 +156577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.718794454,1 +156578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.348268436,1 +156580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.221181681,1 +156579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.53596715,1 +156582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.202598248,1 +156581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.496586445,1 +156583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.465785333,1 +156585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.590201767,1 +156584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.164484584,1 +156586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.253617467,1 +156587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.003626295,1 +156588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.582388461,1 +156589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.021254907,1 +156591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.594236973,1 +156590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.890345061,1 +156592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.276604998,1 +156595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.737872494,1 +156594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.653969344,1 +156593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.832804642,1 +156597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.06471874,1 +156596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.70083972,1 +156599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.766004797,1 +156598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.241487468,1 +156600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.591309431,1 +156603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.741781508,1 +156602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.136905936,1 +156601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.55752429,1 +156604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.797573265,1 +156605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.579391616,1 +156607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.46924553,1 +156608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.965508309,1 +156606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.945229068,1 +156609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.537819652,1 +156610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.134074625,1 +156611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.024880842,1 +156612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,8.722333784,1 +156613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.555582198,1 +156614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.911454404,1 +156615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.738989855,1 +156617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.175711448,1 +156616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,7.557613002,1 +156619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,7.577981391,1 +156618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,7.640418303,1 +156620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.404276979,1 +156622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.255854894,1 +156621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.787154642,1 +156623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.318943652,1 +156624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.958937408,1 +156625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.776819995,1 +156626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.475037304,1 +156627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.350045907,1 +156630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.137780034,1 +156628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,8.301408353,1 +156629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.631137222,1 +156631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.258259012,1 +156633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.573331758,1 +156634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.008631644,1 +156632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.91258256,1 +156635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.70739751,1 +156636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.952181688,1 +156637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.650351235,1 +156638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.375668195,1 +156639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.60011878,1 +156640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.841358723,1 +156641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.410189124,1 +156642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.414881856,1 +156643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.846378895,1 +156644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.959661776,1 +156645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,8.032602506,1 +156646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.288718725,1 +156647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.174868739,1 +156648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.963229744,1 +156649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.31039593,1 +156651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.020221374,1 +156652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.09103646,1 +156653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.391813088,1 +156650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.004820791,1 +156654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.064595921,1 +156655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.794930852,1 +156656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.515030152,1 +156657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.049830652,1 +156658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.918826934,1 +156659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.578607647,1 +156660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.038911644,1 +156662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.449788066,1 +156663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.547882538,1 +156661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.504056222,1 +156664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.001265498,1 +156665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.786232422,1 +156666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.076197687,1 +156668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.03339741,1 +156669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.638138497,1 +156667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.929501733,1 +156670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.435826218,1 +156671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.588594311,1 +156672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.178673398,1 +156673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.53429504,1 +156674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.772023184,1 +156675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.670867295,1 +156676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.023179063,1 +156677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.944301687,1 +156678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.820457418,1 +156679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.586773146,1 +156680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.885949509,1 +156681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.029099666,1 +156683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.253635861,1 +156684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,8.18304023,1 +156685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.763868463,1 +156682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.895784076,1 +156688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.33208004,1 +156686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.556222932,1 +156689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.44111848,1 +156690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.66935007,1 +156691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,8.087156675,1 +156687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.034819815,1 +156692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.079588664,1 +156693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.469053156,1 +156694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.600530375,1 +156695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,7.184296694,1 +156696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.145208875,1 +156697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.182086869,1 +156698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.356688597,1 +156699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.318809725,1 +156701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.915626269,1 +156703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.953827291,1 +156702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.158037694,1 +156700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.895128922,1 +156704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.592261082,1 +156705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.047332949,1 +156706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.002549716,1 +156707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.163220339,1 +156708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.573527874,1 +156709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.649108761,1 +156710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.375980698,1 +156711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.9959081,1 +156712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.881180367,1 +156713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.445898177,1 +156714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.734822209,1 +156715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.806264514,1 +156716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.914765952,1 +156717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.672457711,1 +156718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.091960582,1 +156720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.455074429,1 +156721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.823808206,1 +156719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.24577556,1 +156722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.191165293,1 +156723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.133443229,1 +156724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.720797171,1 +156725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.336407787,1 +156726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,7.368627322,1 +156727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.257200573,1 +156728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.791545774,1 +156730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.008169805,1 +156729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.699744235,1 +156731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.604870906,1 +156732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.195516879,1 +156734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.886589724,1 +156735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.597503288,1 +156733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.962395004,1 +156736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.719068654,1 +156738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.535536535,1 +156739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.30925036,1 +156737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.447063807,1 +156740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.715496216,1 +156741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.259446494,1 +156742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.221691159,1 +156744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.886944213,1 +156743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.984636556,1 +156745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.640906699,1 +156746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,0.884905892,1 +156747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.623700334,1 +156748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.722884245,1 +156749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.611513221,1 +156750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,7.809943027,1 +156751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.751242754,1 +156753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.762382078,1 +156754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.089716305,1 +156752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.115204505,1 +156755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.187321957,1 +156756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.770909908,1 +156757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.874086319,1 +156759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.66003534,1 +156760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.040012313,1 +156761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,8.482563881,1 +156758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.866908618,1 +156762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.837309668,1 +156763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.747404016,1 +156764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.432024951,1 +156766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.880332049,1 +156765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.342448182,1 +156767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.182821775,1 +156769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.210567367,1 +156768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.825207883,1 +156770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.551427582,1 +156771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.955107241,1 +156772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.129217255,1 +156773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.842497189,1 +156775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.421081621,1 +156776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.093141383,1 +156777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.764038091,1 +156778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.939521208,1 +156774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.447405033,1 +156780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.117835446,1 +156779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.394054261,1 +156781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.238703171,1 +156784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.518691913,1 +156782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.883758831,1 +156783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.14604601,1 +156785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.926541836,1 +156788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.297913408,1 +156786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.943822853,1 +156787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.214458473,1 +156789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.13917905,1 +156790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.019579114,1 +156791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.689986147,1 +156792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.931142362,1 +156793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.901894595,1 +156794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.84798692,1 +156795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.877424468,1 +156797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.835454609,1 +156796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.222463783,1 +156799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,8.510710667,1 +156798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.237272937,1 +156800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,8.209090717,1 +156801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.210373611,1 +156803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.371409302,1 +156802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.881276469,1 +156804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.26327866,1 +156805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.881131886,1 +156807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.499242667,1 +156806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.824502548,1 +156808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.69435604,1 +156809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.364449107,1 +156812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.007808774,1 +156810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.098141727,1 +156811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.897121163,1 +156815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.772603699,1 +156814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.464236954,1 +156813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.799557962,1 +156816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.0614721,1 +156818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.196443105,1 +156817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.542861158,1 +156819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.303974546,1 +156820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.020974214,1 +156821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.96087368,1 +156822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.989420307,1 +156823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.037467064,1 +156824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.330342144,1 +156825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.55254932,1 +156826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.370787613,1 +156828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.223459462,1 +156829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.057146588,1 +156830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.51175302,1 +156831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.216885965,1 +156827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.646310196,1 +156832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.879041059,1 +156833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,7.058450827,1 +156834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.39776642,1 +156836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.122851443,1 +156837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.836032154,1 +156838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.213752318,1 +156835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.539427946,1 +156839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.627396313,1 +156840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.438459645,1 +156841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.75128427,1 +156842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.213932712,1 +156844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.000627384,1 +156843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.60653312,1 +156845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.655066468,1 +156846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.570293551,1 +156847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.527449032,1 +156848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.355864031,1 +156849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.086051914,1 +156853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.003170439,1 +156851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.943443717,1 +156852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.876744844,1 +156855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.96798868,1 +156854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.083380636,1 +156850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.929004079,1 +156856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.996210063,1 +156859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.032005328,1 +156857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.877827633,1 +156858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.346891946,1 +156860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,9.604063909,1 +156861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.8098234,1 +156862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.838977473,1 +156863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.954365054,1 +156864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.591232633,1 +156866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.06980267,1 +156867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.831744153,1 +156868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.549768629,1 +156865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.14595379,1 +156869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.891885024,1 +156870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.291226638,1 +156871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.700364857,1 +156872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.197286972,1 +156873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.71436464,1 +156875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.011347812,1 +156874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.017374364,1 +156876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.184967211,1 +156877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.526473548,1 +156878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.773483184,1 +156879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.740008462,1 +156881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.961913642,1 +156880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.678304932,1 +156882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.707579162,1 +156883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.031500438,1 +156884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.990261684,1 +156886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.383141844,1 +156887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.228889837,1 +156885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.800443258,1 +156888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.648737308,1 +156891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.035667797,1 +156889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.545369393,1 +156890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.42976108,1 +156892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.412757166,1 +156894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.113284342,1 +156895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.417296462,1 +156893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.738062507,1 +156897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.616932326,1 +156898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.613819323,1 +156896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.676985163,1 +156899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.707499027,1 +156900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,7.28356612,1 +156902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.012701802,1 +156901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.653280645,1 +156904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.61187319,1 +156906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.843241833,1 +156903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.51734131,1 +156905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.659820526,1 +156907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.362935642,1 +156908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.055593009,1 +156910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.686306766,1 +156909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.917955138,1 +156911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,7.765396612,1 +156912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.223489683,1 +156913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.345675351,1 +156914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.580137453,1 +156915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.714217053,1 +156916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.510246334,1 +156917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.953923206,1 +156918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.884672004,1 +156919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.064279822,1 +156921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.192825572,1 +156920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.148625452,1 +156922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.303060325,1 +156923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.547853536,1 +156924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.586530914,1 +156925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.035176925,1 +156926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.650139282,1 +156927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,7.30310857,1 +156928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.126578613,1 +156929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.704395135,1 +156930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.690118473,1 +156931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.69429177,1 +156932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.464457692,1 +156933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.105696161,1 +156935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.217851089,1 +156936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.805411955,1 +156934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.79943435,1 +156937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.761820548,1 +156938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.085012519,1 +156939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.349024045,1 +156941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.170648791,1 +156940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,6.720842516,1 +156942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.185147517,1 +156943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.072180754,1 +156944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.392763868,1 +156945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.635327796,1 +156946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.859401944,1 +156947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,7.393182904,1 +156948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.458868827,1 +156950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.669252457,1 +156949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.955133342,1 +156952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.047451836,1 +156951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.54767998,1 +156953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.765930474,1 +156955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,8.946275981,1 +156956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.805629899,1 +156957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.042265081,1 +156958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.26093116,1 +156959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.534075074,1 +156954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.496114317,1 +156960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.371818168,1 +156962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.375019112,1 +156961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.82021563,1 +156963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.533455885,1 +156964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.035569319,1 +156966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.445549079,1 +156965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.765764442,1 +156967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.34687822,1 +156968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.134587218,1 +156969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.869230828,1 +156970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.801587957,1 +156971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.615204052,1 +156973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.070740161,1 +156972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.351862637,1 +156974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.777049774,1 +156976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.599175565,1 +156977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.660896762,1 +156978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.583047396,1 +156975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.795543665,1 +156979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.739166379,1 +156981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.234731296,1 +156980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.514860402,1 +156982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.639829024,1 +156983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,5.383925987,1 +156984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.999732479,1 +156985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.660493244,1 +156986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.666128634,1 +156987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.478540489,1 +156988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.54332688,1 +156989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,1.878554431,1 +156990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.131759015,1 +156991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.918804184,1 +156992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.43259141,1 +156993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.030302824,1 +156994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,4.013633473,1 +156995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,2.939912366,1 +156996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,7.405960428,1 +156997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.786351746,1 +156998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.675666777,1 +156999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.122409354,1 +157000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,7,1,3.976304674,1 +166001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.309532083,1 +166002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.312419505,1 +166003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.41372126,1 +166004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.778828113,1 +166006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.997412806,1 +166005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.9418093,1 +166007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,9.169840372,1 +166008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.883651042,1 +166010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.513760657,1 +166011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.53744494,1 +166012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.653190391,1 +166013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.686173683,1 +166014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.121093546,1 +166015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.255041898,1 +166009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.885988958,1 +166016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.468254775,1 +166017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.624550012,1 +166018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.804098274,1 +166020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.185278136,1 +166019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.102333741,1 +166021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.225529167,1 +166022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.422118465,1 +166025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.05396446,1 +166024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.522731045,1 +166023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.196084296,1 +166026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.680130511,1 +166027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.159435821,1 +166028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.252688357,1 +166029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.445893526,1 +166030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.553594418,1 +166031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.00449603,1 +166033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.637824675,1 +166034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,0.016259273,1 +166036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.867718656,1 +166032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.745245068,1 +166035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.539918873,1 +166037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.273045793,1 +166039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.674415705,1 +166038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.66166082,1 +166040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.508620664,1 +166041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.877210756,1 +166043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.768130753,1 +166044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.076986315,1 +166042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.158401692,1 +166045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.224751616,1 +166046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.976920044,1 +166047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.405143799,1 +166049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.792081896,1 +166050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.214329799,1 +166051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.515174827,1 +166048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.320360408,1 +166052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.75234006,1 +166054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.593857611,1 +166053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.455707971,1 +166055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.738520757,1 +166056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.81734778,1 +166058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.905239855,1 +166059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.715100093,1 +166057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.823882597,1 +166060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.600029082,1 +166061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.393740382,1 +166062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.397904992,1 +166063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.025806381,1 +166064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.523596467,1 +166065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.178306504,1 +166066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.553246119,1 +166068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.712636085,1 +166070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.264764464,1 +166067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.285164328,1 +166069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.943510677,1 +166071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.862650728,1 +166072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.755475575,1 +166073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.275517263,1 +166074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.232601713,1 +166076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.859756127,1 +166075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.734897048,1 +166078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.078022859,1 +166077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.867070765,1 +166081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.768124215,1 +166079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.756131158,1 +166080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.682062138,1 +166082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.144270386,1 +166083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.041010519,1 +166084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.936221809,1 +166085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.252873129,1 +166086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.112441428,1 +166087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.736622073,1 +166088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.598268403,1 +166089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.666464791,1 +166090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.762182941,1 +166091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.081662956,1 +166092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.383884658,1 +166093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.350328664,1 +166094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.132185506,1 +166095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.141987957,1 +166096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.355260053,1 +166097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.251639978,1 +166099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.048333444,1 +166100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.726806588,1 +166098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.619331213,1 +166101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.723163535,1 +166102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.880247094,1 +166103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.230572977,1 +166104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.068644766,1 +166105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.297435439,1 +166107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.22635487,1 +166106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.383900568,1 +166108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.115480543,1 +166109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.767951184,1 +166110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.835111533,1 +166111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.617018406,1 +166112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.087850963,1 +166113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.450619054,1 +166114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.044591897,1 +166115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.081782215,1 +166117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.577853377,1 +166116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.660771619,1 +166118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.268330744,1 +166120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.482554124,1 +166119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.859478832,1 +166121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.565580763,1 +166122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.363019502,1 +166124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.40125261,1 +166123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.263052015,1 +166125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.689650162,1 +166126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.025097079,1 +166127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.437100724,1 +166128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.25609819,1 +166130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.899604294,1 +166131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.355798713,1 +166132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.109403437,1 +166133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.048939568,1 +166135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.089065356,1 +166134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.809998172,1 +166129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,9.453527849,1 +166136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.323477577,1 +166137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.323798637,1 +166138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.293841393,1 +166140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.082567432,1 +166139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.735514831,1 +166141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.287664798,1 +166142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.483802996,1 +166143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.239835548,1 +166146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.263576719,1 +166144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.951155976,1 +166145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.231251421,1 +166148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,0.993241624,1 +166147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.199571628,1 +166149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.072357961,1 +166150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.829815064,1 +166151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.094941024,1 +166152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.92759508,1 +166154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.126300121,1 +166155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.431458568,1 +166156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.97493481,1 +166157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.330500574,1 +166153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.418989839,1 +166158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.026295697,1 +166161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.547928316,1 +166159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.57281056,1 +166160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.315234319,1 +166162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.390989817,1 +166163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.08660955,1 +166164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.072786119,1 +166165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.497921708,1 +166166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.750637948,1 +166168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.221450323,1 +166169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.365597523,1 +166167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.9913297,1 +166170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.309365979,1 +166171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.286917754,1 +166172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.871336018,1 +166173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.141751966,1 +166175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.325522104,1 +166174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.869214311,1 +166176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.725123259,1 +166177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.745667711,1 +166178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.520174775,1 +166179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.544077248,1 +166180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.049938164,1 +166181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.1591207,1 +166182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.174649882,1 +166183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.895053869,1 +166184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.113081379,1 +166186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.870831927,1 +166187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.662907164,1 +166188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.340077469,1 +166185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.960480284,1 +166189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.024749177,1 +166192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.968335849,1 +166190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.574216201,1 +166191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.336887958,1 +166193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.821874485,1 +166195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.538309348,1 +166196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.991465439,1 +166197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.988755556,1 +166194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.793891728,1 +166198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.040839996,1 +166199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.580452691,1 +166200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.770398511,1 +166201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.494144603,1 +166202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.723571931,1 +166204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.863743676,1 +166203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.606090702,1 +166205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.078190779,1 +166208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.8559229,1 +166207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.45404345,1 +166206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.497839051,1 +166211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.481907851,1 +166210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.664027241,1 +166212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,8.314992542,1 +166209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.153773656,1 +166214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.844585286,1 +166213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.5510059,1 +166215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.743342968,1 +166216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.928272594,1 +166217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.910364126,1 +166218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.129491807,1 +166219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.321560469,1 +166220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.71867349,1 +166223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.517164644,1 +166221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.980284387,1 +166222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.410053949,1 +166224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.50510199,1 +166225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.219540122,1 +166227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.280284965,1 +166226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.863956598,1 +166230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.701763195,1 +166229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.311117936,1 +166228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,8.023889239,1 +166231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.664388762,1 +166232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.802125559,1 +166233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.386761986,1 +166235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.719475029,1 +166234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.307253311,1 +166237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.506074669,1 +166236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.070450699,1 +166240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.166224852,1 +166238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.552959319,1 +166241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.986010644,1 +166244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.154151068,1 +166242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.534916614,1 +166243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.059641245,1 +166239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.217061123,1 +166247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.650593424,1 +166246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.856316088,1 +166245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.836062544,1 +166249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.424113817,1 +166250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.765656783,1 +166248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.222811999,1 +166251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.315342118,1 +166254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.879178483,1 +166253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.500258484,1 +166255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.638843925,1 +166252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.075531864,1 +166256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,0.846853983,1 +166257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.759729907,1 +166258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.638554988,1 +166261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.122453466,1 +166259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.367378642,1 +166262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.252711024,1 +166263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.967563078,1 +166264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.679600005,1 +166260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.306892766,1 +166265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.551221842,1 +166267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.07107542,1 +166268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.021693316,1 +166266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.536227786,1 +166269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.106755119,1 +166270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.797571954,1 +166272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.014010526,1 +166273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.308473409,1 +166271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.98315758,1 +166275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.17703443,1 +166276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.151077432,1 +166277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.425467104,1 +166278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.799379022,1 +166279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.542315999,1 +166274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.716913499,1 +166281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.046572996,1 +166283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.175761927,1 +166280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.016305707,1 +166282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.877632246,1 +166284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.102791403,1 +166285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.870021611,1 +166287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.227134206,1 +166286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.205855868,1 +166288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.723692406,1 +166289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.363019716,1 +166290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.420304084,1 +166292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.406258305,1 +166291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.696328787,1 +166294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.513628607,1 +166296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.333028628,1 +166293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.114871844,1 +166295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.22211794,1 +166297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.609981015,1 +166299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.376281582,1 +166300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.487098977,1 +166298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,9.383803781,1 +166301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.12813971,1 +166303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.864289199,1 +166302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.281114191,1 +166304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.84375849,1 +166305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.368703296,1 +166307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.576744934,1 +166306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.272278378,1 +166308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.336769423,1 +166309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.701712997,1 +166311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.712671408,1 +166312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.463216349,1 +166313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.597771356,1 +166310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.196922758,1 +166314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.592449505,1 +166317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.968842801,1 +166316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.922062788,1 +166315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,10.68938781,1 +166318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.108990807,1 +166319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.894712032,1 +166320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.783950801,1 +166322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.547707111,1 +166321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.176494069,1 +166323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.101197733,1 +166324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.760207818,1 +166325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,0.661869589,1 +166326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.148820091,1 +166327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.731406196,1 +166330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.481015013,1 +166329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.944932031,1 +166328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.74012791,1 +166331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.660433637,1 +166333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,8.295385763,1 +166334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.377842596,1 +166335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.778449844,1 +166336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.119695861,1 +166332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.149811783,1 +166337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.475574549,1 +166338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.21074822,1 +166339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.419332077,1 +166341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.454321443,1 +166340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.893426072,1 +166342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.09290318,1 +166343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.319565811,1 +166345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.131935743,1 +166346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.738976533,1 +166344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.41589229,1 +166347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.927054756,1 +166348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.738231533,1 +166349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.022411997,1 +166351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.149953788,1 +166350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.901537379,1 +166353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.585263641,1 +166354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.811069514,1 +166355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.506777477,1 +166352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.830646743,1 +166358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.994502125,1 +166359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.691706926,1 +166356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.050322963,1 +166357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.965987506,1 +166361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.103078575,1 +166360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.258495875,1 +166363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.853239822,1 +166362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.729648926,1 +166364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.512760613,1 +166365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.247451605,1 +166367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.079018177,1 +166366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,8.005374378,1 +166371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.218797021,1 +166369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.420747319,1 +166370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.172594282,1 +166368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,8.070157793,1 +166374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.981694101,1 +166375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.633994063,1 +166372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.314408664,1 +166377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.677862254,1 +166376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,0.916422637,1 +166373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.33719489,1 +166378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.789366249,1 +166379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.74348756,1 +166380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.493381493,1 +166382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.905269166,1 +166381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.589905747,1 +166383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.728597675,1 +166384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.236037877,1 +166385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,9.163555445,1 +166388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.455523046,1 +166386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.810906732,1 +166387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.274548857,1 +166389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.327784835,1 +166391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.915055524,1 +166392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.86536256,1 +166390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.516089861,1 +166393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.052719894,1 +166395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.789608276,1 +166396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.829694514,1 +166397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.256562645,1 +166394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.465096526,1 +166398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.976623395,1 +166399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.607880508,1 +166400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.168712812,1 +166403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.808914927,1 +166401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.392894105,1 +166402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.465416618,1 +166404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.613976334,1 +166406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.736832218,1 +166405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.146619465,1 +166407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.935546694,1 +166408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,8.064993068,1 +166409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.250990585,1 +166412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.062379317,1 +166411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.65300517,1 +166410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.308821778,1 +166414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.125971685,1 +166415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.718693592,1 +166416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.666160728,1 +166417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.30319663,1 +166419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.297955486,1 +166413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.214022572,1 +166418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.765597864,1 +166423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.343847938,1 +166422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.992555824,1 +166420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.875620378,1 +166421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.722377633,1 +166426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.504824458,1 +166425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.512537001,1 +166427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.941288229,1 +166424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.662191423,1 +166428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.167206684,1 +166430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.120611628,1 +166429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.066037226,1 +166431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.408736665,1 +166433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.797840572,1 +166432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.234723032,1 +166435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.267122852,1 +166434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.176400769,1 +166436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.605549352,1 +166437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.231268927,1 +166438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.015474016,1 +166439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.602283433,1 +166440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.785508313,1 +166441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,8.713452728,1 +166442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.148907928,1 +166443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.138377254,1 +166444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.437763562,1 +166445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.894629195,1 +166446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.468839701,1 +166448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.620781921,1 +166449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.947817025,1 +166447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.870853353,1 +166450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.898243972,1 +166451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.265817218,1 +166452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.701988658,1 +166454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.601965808,1 +166455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.023125645,1 +166456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.172916559,1 +166453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.314948421,1 +166457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.897139891,1 +166459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.302806683,1 +166458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.097142553,1 +166461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.224271987,1 +166462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.883637283,1 +166464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.748936649,1 +166463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.620622481,1 +166460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.525815712,1 +166466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.221687413,1 +166465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.356914464,1 +166467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.224609196,1 +166468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.795394084,1 +166469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.962275056,1 +166470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.910896729,1 +166471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.956502853,1 +166473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.912645911,1 +166472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.200293939,1 +166474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.141104031,1 +166475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.282328315,1 +166476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.201233073,1 +166478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.528135677,1 +166479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.847762821,1 +166477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.800681221,1 +166480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.77082203,1 +166481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.020704167,1 +166483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.956674627,1 +166482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,8.516395479,1 +166484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.375970956,1 +166485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.354166924,1 +166486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.372389102,1 +166487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.684491821,1 +166488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.127218813,1 +166489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.656113124,1 +166490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.795263807,1 +166491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.042927654,1 +166492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.026510483,1 +166493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.12051979,1 +166495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.802887854,1 +166496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.186744915,1 +166497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.469678792,1 +166494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.29459612,1 +166499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.982084436,1 +166500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.806789746,1 +166501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.935442657,1 +166502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.216664219,1 +166498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.041318152,1 +166503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.510312662,1 +166505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.080657268,1 +166504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.539918193,1 +166506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.670882032,1 +166507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,8.338296817,1 +166508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.927108055,1 +166509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.819389941,1 +166510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.598602941,1 +166511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.482633774,1 +166513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.742307817,1 +166512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.813768123,1 +166514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.585950491,1 +166515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.881707502,1 +166518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.286908725,1 +166517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.790876666,1 +166519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.352038922,1 +166516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.829956279,1 +166521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.76500104,1 +166522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,9.507321438,1 +166523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.158171451,1 +166520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.0302091,1 +166524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.323432038,1 +166525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.732494521,1 +166527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.400241562,1 +166526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.773274228,1 +166528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.407011113,1 +166529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.657709336,1 +166530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.007797289,1 +166531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.235496278,1 +166532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.057917513,1 +166533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,0.218916462,1 +166534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.453441927,1 +166536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.114209899,1 +166537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.619779121,1 +166535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.945443369,1 +166538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.418360127,1 +166539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.445162679,1 +166540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.018485884,1 +166541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.076919273,1 +166542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.917418013,1 +166543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.866407913,1 +166545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.257123362,1 +166544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.303395785,1 +166546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.887684624,1 +166547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.528838703,1 +166549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.83914385,1 +166550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.965128828,1 +166548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.069786446,1 +166551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.143280433,1 +166552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.097758552,1 +166554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.485667636,1 +166553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.354137366,1 +166555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.639369534,1 +166556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.638696522,1 +166557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.83559984,1 +166558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.367750357,1 +166560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.451889279,1 +166559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.044343874,1 +166562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.097873818,1 +166561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.59407993,1 +166563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.561023646,1 +166564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.167590392,1 +166565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.790241464,1 +166566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.967328295,1 +166568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.592411823,1 +166569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.083625773,1 +166567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.977433213,1 +166570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.87074568,1 +166571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.069163175,1 +166573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.411954957,1 +166574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.606822486,1 +166572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.822421425,1 +166576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.306194791,1 +166577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.100213402,1 +166578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.03629328,1 +166575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.960646194,1 +166579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.605957061,1 +166581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.49057332,1 +166582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.960384356,1 +166580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.634839099,1 +166584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.228835978,1 +166585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.095067003,1 +166586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.454188438,1 +166583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.503613717,1 +166589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.844130624,1 +166587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.718217487,1 +166590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.801121641,1 +166591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.478595426,1 +166593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.722146429,1 +166592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.016360613,1 +166588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.579355867,1 +166594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.990782382,1 +166595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.349966737,1 +166596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.390151542,1 +166597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.33749792,1 +166599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.070437274,1 +166600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.882598338,1 +166598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.651464869,1 +166601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.157539462,1 +166603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.688824844,1 +166602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.936432651,1 +166605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.270616816,1 +166604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.52554568,1 +166606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.519744563,1 +166607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.277819092,1 +166608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.114842371,1 +166610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.297370768,1 +166611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.707997331,1 +166612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.594423439,1 +166609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.055345104,1 +166614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.286294273,1 +166615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.883048928,1 +166616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.282288056,1 +166613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.778735622,1 +166619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.762248511,1 +166617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,10.46614483,1 +166620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.766690553,1 +166623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.959865571,1 +166618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.559875814,1 +166621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,8.320273488,1 +166622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.376144952,1 +166624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.501495651,1 +166625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,8.075532865,1 +166627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.164616074,1 +166628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.309047954,1 +166629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.481901408,1 +166630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.834871529,1 +166626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.781014422,1 +166632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.676475763,1 +166633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.475348826,1 +166634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.547334761,1 +166631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.916377602,1 +166637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.01740558,1 +166635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.783624886,1 +166636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.92504045,1 +166638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.541904314,1 +166639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.679776431,1 +166640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.839247552,1 +166641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.466265082,1 +166642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.478409873,1 +166644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.937907625,1 +166645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.124000658,1 +166646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.016617385,1 +166647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.053281348,1 +166648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.573687431,1 +166643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.689248512,1 +166649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.531129743,1 +166652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.229560913,1 +166650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.14558992,1 +166653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.464836233,1 +166651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,8.509933245,1 +166654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.046393398,1 +166655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.664449567,1 +166656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.162081076,1 +166657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.648710587,1 +166658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.545465637,1 +166659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.423520847,1 +166660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.597911694,1 +166661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.401749949,1 +166663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.645311914,1 +166664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.86752639,1 +166662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.12108737,1 +166665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.466987599,1 +166667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.814784866,1 +166666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.393950229,1 +166668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.31454051,1 +166669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.110500571,1 +166670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.048051006,1 +166671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.67893093,1 +166673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.820124669,1 +166672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,0.229442629,1 +166674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.270176295,1 +166675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.808369971,1 +166676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.249915263,1 +166679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.600169185,1 +166678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.999205584,1 +166677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.404374455,1 +166680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.230495119,1 +166681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.182707698,1 +166682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.172644684,1 +166683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.563788016,1 +166684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,8.168671302,1 +166685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.754546293,1 +166686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.958755833,1 +166687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.927452507,1 +166688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.824222505,1 +166689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.238983908,1 +166690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.290020859,1 +166692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.324096282,1 +166691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.654666379,1 +166693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.723562161,1 +166694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.988006698,1 +166696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.807286407,1 +166697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,0.604004952,1 +166695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.966083207,1 +166698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.203628845,1 +166700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.172818672,1 +166699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.871221634,1 +166701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.290820876,1 +166702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.36366057,1 +166703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.76585337,1 +166705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.285172294,1 +166706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.031243668,1 +166704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.282436521,1 +166707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.517577854,1 +166708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.397652784,1 +166709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.819048355,1 +166710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.625653971,1 +166712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.507048276,1 +166711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.878055066,1 +166714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.583754353,1 +166713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.56066078,1 +166716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.366499782,1 +166715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.346065412,1 +166718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.076388362,1 +166720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.40116409,1 +166719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.031384002,1 +166721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.992066135,1 +166722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.069449121,1 +166717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.987725618,1 +166723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.290782465,1 +166724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.708266811,1 +166726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.303396666,1 +166725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.166204336,1 +166727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.094091326,1 +166728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.330462978,1 +166730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.250704661,1 +166732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.1876338,1 +166731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.708185359,1 +166733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.440017274,1 +166734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,0.922586826,1 +166735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.558679646,1 +166729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.999071581,1 +166736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.926182906,1 +166738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.702693098,1 +166737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.532521272,1 +166740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.185229637,1 +166739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,8.631489917,1 +166741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.423604771,1 +166742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.989872138,1 +166744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.887073541,1 +166743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.159478073,1 +166746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.758572147,1 +166745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.484982774,1 +166747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.264097225,1 +166748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.640739224,1 +166749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.534595455,1 +166750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.466863654,1 +166752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.476387456,1 +166753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.347710845,1 +166754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.766981762,1 +166755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.797662899,1 +166751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.103886764,1 +166757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.62948004,1 +166756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.312869237,1 +166758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.011037853,1 +166759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.182417961,1 +166760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.421874818,1 +166762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.121918427,1 +166761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.892521226,1 +166763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.141327352,1 +166764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.596107392,1 +166765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.30000806,1 +166766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.072073536,1 +166767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.569640259,1 +166768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.899500435,1 +166769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.18218125,1 +166770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,10.89659918,1 +166772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.931163727,1 +166774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.371882868,1 +166771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.091053045,1 +166773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.537379553,1 +166775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.547743552,1 +166777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.849394312,1 +166776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.197969306,1 +166778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.103098985,1 +166779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.637678578,1 +166780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.826099562,1 +166781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.654190901,1 +166782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.052862348,1 +166785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.326771766,1 +166783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.387893741,1 +166786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,8.586626955,1 +166784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.915813391,1 +166787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.397317882,1 +166788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.616440899,1 +166789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.920204821,1 +166790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.751521352,1 +166791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.643429334,1 +166792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.239220063,1 +166793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.408729454,1 +166795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.083747623,1 +166794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.215762351,1 +166797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.33198693,1 +166796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.128897453,1 +166798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.730710523,1 +166800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.428254113,1 +166799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.11382829,1 +166801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.692233881,1 +166803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.759280135,1 +166805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.358171613,1 +166802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.838074418,1 +166806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.519884789,1 +166807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.939067839,1 +166808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.553571654,1 +166804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.600950378,1 +166809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.137795808,1 +166810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.567142022,1 +166811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.549674602,1 +166814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.971739712,1 +166813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.62367201,1 +166815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.078769701,1 +166812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.314787982,1 +166816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.792793027,1 +166819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.821625744,1 +166817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.163614782,1 +166818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.242504545,1 +166820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,8.827586392,1 +166821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.575871467,1 +166822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.979692954,1 +166823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.193849195,1 +166824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.106453643,1 +166826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.52523176,1 +166827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.286662283,1 +166828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.846894485,1 +166825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.498076664,1 +166830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.393761265,1 +166829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.880895688,1 +166831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.588513921,1 +166832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.645104208,1 +166833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.606969388,1 +166834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.952759456,1 +166835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.38581146,1 +166836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.773302698,1 +166837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.344644576,1 +166838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.553065523,1 +166839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.442870612,1 +166840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.749530532,1 +166841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.966784419,1 +166842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.372900344,1 +166843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.427136703,1 +166845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.002064205,1 +166846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.777474198,1 +166847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,8.274919564,1 +166848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.928846585,1 +166844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.25956639,1 +166849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.688951038,1 +166851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.967241343,1 +166850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.801286009,1 +166852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.460915228,1 +166853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.162334854,1 +166854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.647432677,1 +166855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.112453783,1 +166856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.143100695,1 +166857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.746962547,1 +166858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.629540652,1 +166859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.819340718,1 +166861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.945525602,1 +166862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.719376034,1 +166863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.630848512,1 +166860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.429415717,1 +166864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.710870954,1 +166865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.808609795,1 +166866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.883332342,1 +166867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.967393294,1 +166868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.01400465,1 +166870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.754084212,1 +166869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.552910691,1 +166871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.467003488,1 +166872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.513628256,1 +166873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.846709203,1 +166874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.903013481,1 +166875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.825695159,1 +166877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.20464399,1 +166876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.863525587,1 +166878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.361027652,1 +166880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.839219526,1 +166882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.915993346,1 +166879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.57465392,1 +166881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.005217024,1 +166883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.348540871,1 +166884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.678208898,1 +166885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.022375157,1 +166887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.632118769,1 +166886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.350898342,1 +166888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.300831497,1 +166889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,9.400881077,1 +166890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.87598683,1 +166892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.391567928,1 +166891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.148835579,1 +166893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.046122963,1 +166894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.225953166,1 +166896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.458610295,1 +166895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.654795602,1 +166897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,8.077478542,1 +166898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.324573221,1 +166900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.804335728,1 +166901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.562462205,1 +166902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.256506432,1 +166903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.264986878,1 +166899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.202498304,1 +166905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.717123563,1 +166904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.694701588,1 +166906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.130807012,1 +166907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.898909594,1 +166908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.836372633,1 +166911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.402591721,1 +166910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.06079382,1 +166909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.379857104,1 +166912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.661214864,1 +166913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.582935102,1 +166914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.715399316,1 +166915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.884337002,1 +166916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.900943481,1 +166917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.255864781,1 +166918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.814412385,1 +166920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.186304375,1 +166919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.962799563,1 +166922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.984785817,1 +166923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.787983089,1 +166924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,10.43764472,1 +166921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.695041832,1 +166925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.107958303,1 +166928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.620154705,1 +166926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.511677111,1 +166929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.641647523,1 +166930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.023737441,1 +166931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.893886232,1 +166927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.287159707,1 +166934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.754547708,1 +166933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.799169423,1 +166932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,9.174967317,1 +166936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.850145703,1 +166938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.609877477,1 +166935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.582647622,1 +166937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.48907674,1 +166939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.188340073,1 +166941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.153004976,1 +166940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.357988821,1 +166943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.575368788,1 +166942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.662278862,1 +166945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.936938689,1 +166944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.923016184,1 +166946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.138732016,1 +166947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.959455445,1 +166948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.586241377,1 +166950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.828435964,1 +166951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.649035678,1 +166952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.325234507,1 +166949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.036778794,1 +166953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.760616985,1 +166954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.77566342,1 +166956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.859566594,1 +166957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.987203022,1 +166955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.436684302,1 +166958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.296168187,1 +166960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.227765251,1 +166962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.389485535,1 +166961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,10.07491297,1 +166959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.160036147,1 +166963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.350006605,1 +166965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.414153491,1 +166964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.969411949,1 +166966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.039769997,1 +166968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,8.132420411,1 +166969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.425803112,1 +166967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.292138001,1 +166970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.86558541,1 +166971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.140301865,1 +166972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.049122589,1 +166973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.458794046,1 +166974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.360572357,1 +166976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.957476466,1 +166975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.144143245,1 +166977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.036794315,1 +166980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.229943765,1 +166979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.576421604,1 +166978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.775363739,1 +166981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.084680295,1 +166983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,9.276098944,1 +166985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.360609771,1 +166982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.743649166,1 +166984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.819545991,1 +166988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.892265918,1 +166986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.009150871,1 +166987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.926553712,1 +166989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.275534181,1 +166990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,8.36939404,1 +166991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.25351007,1 +166992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,6.66407094,1 +166993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.275180196,1 +166994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.743109016,1 +166995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,7.653009217,1 +166996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,2.114877749,1 +166997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,5.125214822,1 +166999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,3.873439126,1 +167000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,4.222023339,1 +166998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,7,1,1.671528732,1 +176001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.739013896,0.996 +176003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.831374708,0.996 +176002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.164826908,0.996 +176004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.396956172,0.996 +176005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.555341632,0.996 +176007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.413821246,0.996 +176006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.462611029,0.996 +176010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.908406115,0.996 +176009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.305626615,0.996 +176011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.252420155,0.996 +176008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,0.965654272,0.996 +176012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.973042065,0.996 +176014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.629913928,0.996 +176013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.073472442,0.996 +176015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.009901003,0.996 +176016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.449925567,0.996 +176017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.653609172,0.996 +176018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.015329009,0.996 +176019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.720249286,0.996 +176021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,8.778028369,0.996 +176020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.371816971,0.996 +176022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.821970026,0.996 +176024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,0.604169562,0.996 +176025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.546946609,0.996 +176023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.877337088,0.996 +176026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.837312639,0.996 +176027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.541474013,0.996 +176028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.001187664,0.996 +176029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.884550696,0.996 +176032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,9.202864028,0.996 +176031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,0.734373306,0.996 +176030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.029277854,0.996 +176033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.099019431,0.996 +176034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.353436643,0.996 +176035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.550158307,0.996 +176037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.112249637,0.996 +176036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.772217418,0.996 +176038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.375042954,0.996 +176039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,9.660499326,0.996 +176040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.821719725,0.996 +176042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.431978381,0.996 +176043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.845545612,0.996 +176041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.738401707,0.996 +176045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,-0.447799342,0.996 +176046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.900096893,0.996 +176047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.478196256,0.996 +176044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.930380868,0.996 +176049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.433585876,0.996 +176050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.003788769,0.996 +176048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.581846753,0.996 +176051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.542731435,0.996 +176052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.631849328,0.996 +176054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,8.093918535,0.996 +176055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.872276253,0.996 +176056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.062707939,0.996 +176057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.581071377,0.996 +176053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.270409091,0.996 +176058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.681446957,0.996 +176061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.345421862,0.996 +176059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.196623213,0.996 +176060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.23548567,0.996 +176062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.765590955,0.996 +176063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.036011263,0.996 +176064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.735220078,0.996 +176065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.275698316,0.996 +176066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.945958864,0.996 +176067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.018730592,0.996 +176068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.21778035,0.996 +176069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.926146719,0.996 +176070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.81121311,0.996 +176072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.344549077,0.996 +176073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.712952272,0.996 +176071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.535052689,0.996 +176074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.021808409,0.996 +176075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,0.684476059,0.996 +176077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.485100307,0.996 +176076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.235089154,0.996 +176079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.156311505,0.996 +176080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.074318617,0.996 +176081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.240007408,0.996 +176078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.338775091,0.996 +176082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.020047218,0.996 +176083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.162182715,0.996 +176084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.463932756,0.996 +176086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.171499543,0.996 +176088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.281986185,0.996 +176085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.669425765,0.996 +176087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.710628776,0.996 +176089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.886155753,0.996 +176091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,8.281514461,0.996 +176090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.574097066,0.996 +176092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.997954095,0.996 +176093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.13817049,0.996 +176095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.535448192,0.996 +176096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.604492889,0.996 +176097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.827518397,0.996 +176098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.372804696,0.996 +176099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.562099382,0.996 +176100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.764344789,0.996 +176094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.292223722,0.996 +176101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.402656466,0.996 +176102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.632546304,0.996 +176104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.0117391,0.996 +176103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.815228278,0.996 +176105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.929634521,0.996 +176106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.426119027,0.996 +176107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.10871328,0.996 +176108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.384382743,0.996 +176109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.403531892,0.996 +176110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.049021105,0.996 +176112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.271754543,0.996 +176113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.738897329,0.996 +176114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.722146547,0.996 +176111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.592891746,0.996 +176115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,8.240596701,0.996 +176116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.208365384,0.996 +176117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.661941554,0.996 +176119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.368401049,0.996 +176118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.524161231,0.996 +176120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.778076154,0.996 +176122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.001818964,0.996 +176121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.156053133,0.996 +176124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.038889542,0.996 +176123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.44043845,0.996 +176125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.574939726,0.996 +176126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.710906568,0.996 +176127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.609165099,0.996 +176130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.675616618,0.996 +176128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.223704874,0.996 +176129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.722897576,0.996 +176131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.017937534,0.996 +176132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.044292074,0.996 +176134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.97192872,0.996 +176133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.886840248,0.996 +176135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.306394892,0.996 +176138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.931741802,0.996 +176136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.127089715,0.996 +176137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.649783633,0.996 +176141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.852812091,0.996 +176139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.645855398,0.996 +176142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.470886029,0.996 +176140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.005783189,0.996 +176143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.626609949,0.996 +176144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.683165359,0.996 +176145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,10.41628293,0.996 +176146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.960487276,0.996 +176147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.655852792,0.996 +176148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.485987319,0.996 +176149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,8.935068747,0.996 +176150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,8.005577987,0.996 +176151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.607518948,0.996 +176153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.16864177,0.996 +176154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,0.609045772,0.996 +176155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.835278839,0.996 +176156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.212331483,0.996 +176152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.41718874,0.996 +176157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.952338515,0.996 +176158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.28656622,0.996 +176159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.072290941,0.996 +176161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.161410027,0.996 +176162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.052441284,0.996 +176163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.494919695,0.996 +176160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.857734656,0.996 +176167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.795932628,0.996 +176164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.25487543,0.996 +176166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,0.850791853,0.996 +176165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,0.186484766,0.996 +176168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.259496548,0.996 +176169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.932863984,0.996 +176170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.476732127,0.996 +176171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.700110332,0.996 +176173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.234563161,0.996 +176174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.152251612,0.996 +176175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.501951266,0.996 +176172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,10.22694544,0.996 +176176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.499681572,0.996 +176177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.333772702,0.996 +176178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.20429166,0.996 +176179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.683923556,0.996 +176182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.830548327,0.996 +176181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.317737979,0.996 +176183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.407809038,0.996 +176180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.388869002,0.996 +176184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.80527959,0.996 +176185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.248880828,0.996 +176186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.85319554,0.996 +176187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.505974494,0.996 +176189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.921505857,0.996 +176188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,9.491703275,0.996 +176191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.885880762,0.996 +176192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.925468318,0.996 +176193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.855530864,0.996 +176194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.321947777,0.996 +176190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.469892956,0.996 +176195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.104230908,0.996 +176196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,9.785597757,0.996 +176198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,0.937543563,0.996 +176197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.529622406,0.996 +176199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.338590043,0.996 +176200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.051780699,0.996 +176201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.161238873,0.996 +176202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.196880981,0.996 +176203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.28244822,0.996 +176204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.755219587,0.996 +176205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,8.156120618,0.996 +176206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.171194646,0.996 +176208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,0.557389927,0.996 +176207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.85671145,0.996 +176209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.540861891,0.996 +176211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.610664992,0.996 +176210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.294700653,0.996 +176212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.843227199,0.996 +176213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.619073806,0.996 +176214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,8.181411532,0.996 +176215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.266470799,0.996 +176216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.734501584,0.996 +176217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.507319145,0.996 +176218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.049683459,0.996 +176219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.714493532,0.996 +176220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.433674195,0.996 +176221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.318616702,0.996 +176222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.483785029,0.996 +176223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.147300008,0.996 +176224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.440898493,0.996 +176226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.240744463,0.996 +176225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.166582231,0.996 +176227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.261256546,0.996 +176228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.728825918,0.996 +176230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.18696857,0.996 +176229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.711268175,0.996 +176232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.934350658,0.996 +176233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.470022296,0.996 +176234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.136452261,0.996 +176235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.393001293,0.996 +176236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.967682104,0.996 +176237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.897419864,0.996 +176231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.968242032,0.996 +176238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.519266503,0.996 +176239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.47826735,0.996 +176240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.689863013,0.996 +176241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.999128096,0.996 +176244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.424417776,0.996 +176242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.160640333,0.996 +176243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.266409046,0.996 +176245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.738948945,0.996 +176247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.924314238,0.996 +176246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.743629405,0.996 +176248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.924113423,0.996 +176251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.824700408,0.996 +176250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.468472701,0.996 +176252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.21350074,0.996 +176253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.339815876,0.996 +176254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.602352383,0.996 +176255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.171005989,0.996 +176249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,0.596180534,0.996 +176256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,-0.382329789,0.996 +176257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.139892826,0.996 +176259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.083845137,0.996 +176258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.277979054,0.996 +176260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,13.02465128,0.996 +176261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,9.344951043,0.996 +176262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.084245025,0.996 +176263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.429774148,0.996 +176264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.712290221,0.996 +176265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.776275224,0.996 +176268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.56030421,0.996 +176267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.602798272,0.996 +176269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.52730495,0.996 +176270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.494975622,0.996 +176271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.754158091,0.996 +176266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.723904002,0.996 +176273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.387434696,0.996 +176272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.657163759,0.996 +176275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.819061657,0.996 +176274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.986886161,0.996 +176276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.855283532,0.996 +176277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.927231302,0.996 +176279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.45041,0.996 +176278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.401722188,0.996 +176280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.785558438,0.996 +176281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.573560007,0.996 +176282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.008959113,0.996 +176283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.060022381,0.996 +176284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.732999756,0.996 +176285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.39108354,0.996 +176286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.619856906,0.996 +176289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.965223841,0.996 +176288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.37848955,0.996 +176287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.977082696,0.996 +176290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.989462795,0.996 +176292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,8.582810021,0.996 +176291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.521694503,0.996 +176293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,8.224950445,0.996 +176294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.424273326,0.996 +176295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,10.41462351,0.996 +176296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.916709366,0.996 +176298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.953384645,0.996 +176297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.254380345,0.996 +176299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.795712781,0.996 +176300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,10.20965496,0.996 +176301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.282266416,0.996 +176302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.35579751,0.996 +176303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.240878061,0.996 +176304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.295494624,0.996 +176305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.436278298,0.996 +176306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.968056905,0.996 +176307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.155099102,0.996 +176308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.592639244,0.996 +176309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.678718232,0.996 +176310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.096423183,0.996 +176311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.567817639,0.996 +176312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.817215743,0.996 +176313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.035883143,0.996 +176315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.530762815,0.996 +176314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.46742696,0.996 +176316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,8.314384978,0.996 +176317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.442191435,0.996 +176319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.13971533,0.996 +176318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.87550071,0.996 +176321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,8.204248498,0.996 +176320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.139610627,0.996 +176322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.450157882,0.996 +176323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.849491414,0.996 +176324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.917586505,0.996 +176325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.049375733,0.996 +176327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.776206674,0.996 +176329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.033724785,0.996 +176326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.031117345,0.996 +176328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.697959624,0.996 +176330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.377537014,0.996 +176331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.883614731,0.996 +176333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.188674374,0.996 +176332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,0.941255607,0.996 +176336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.612737879,0.996 +176334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.586368867,0.996 +176335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.55971234,0.996 +176338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.437764128,0.996 +176340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.67311769,0.996 +176339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.68085458,0.996 +176341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,8.593329121,0.996 +176342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.984138049,0.996 +176343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.279471013,0.996 +176337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.696834992,0.996 +176344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.457287057,0.996 +176345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.764173014,0.996 +176346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.402985414,0.996 +176347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.154551728,0.996 +176350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.864826123,0.996 +176349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.598018709,0.996 +176348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.818402383,0.996 +176351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.056786668,0.996 +176352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.245341086,0.996 +176353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.749186392,0.996 +176354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.264908734,0.996 +176356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.449165213,0.996 +176355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.043211025,0.996 +176357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.640396233,0.996 +176358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.024360547,0.996 +176359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.095303211,0.996 +176361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,9.277603362,0.996 +176362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.775892782,0.996 +176365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.235315176,0.996 +176360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.007077911,0.996 +176363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.574288247,0.996 +176366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.602500501,0.996 +176364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.737877119,0.996 +176368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.531846015,0.996 +176367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.841823034,0.996 +176370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.300501202,0.996 +176369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.646738832,0.996 +176371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.252238641,0.996 +176372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.406140046,0.996 +176373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.110732475,0.996 +176375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.852718631,0.996 +176376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.929995218,0.996 +176377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.462550713,0.996 +176374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.780278984,0.996 +176378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.458478366,0.996 +176379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.350291421,0.996 +176380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.113882357,0.996 +176382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.88273808,0.996 +176381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.292984621,0.996 +176383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.86623612,0.996 +176384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.475194491,0.996 +176385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.536552813,0.996 +176386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.642171938,0.996 +176387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.066987776,0.996 +176388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.271902394,0.996 +176389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.790956994,0.996 +176390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.250986748,0.996 +176391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.191232535,0.996 +176392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.027157849,0.996 +176393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.545879911,0.996 +176395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.954188388,0.996 +176396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.229086664,0.996 +176394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.758694479,0.996 +176397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.828628797,0.996 +176399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.252686742,0.996 +176398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.103699741,0.996 +176401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.796880194,0.996 +176400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.180168949,0.996 +176402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.16032997,0.996 +176403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,11.40643907,0.996 +176404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.45942211,0.996 +176406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.212536448,0.996 +176407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.060938614,0.996 +176405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.842958645,0.996 +176408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.613846842,0.996 +176411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.940492583,0.996 +176409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.792923586,0.996 +176410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.215736163,0.996 +176412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.235970085,0.996 +176413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.873368178,0.996 +176414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.565517467,0.996 +176415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.790390184,0.996 +176416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.318583373,0.996 +176417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.976639972,0.996 +176419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.687569619,0.996 +176418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.461753695,0.996 +176420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.43829911,0.996 +176422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.337996061,0.996 +176423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.124155676,0.996 +176421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,0.873554363,0.996 +176424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.929024652,0.996 +176425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.665369532,0.996 +176426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.3710813,0.996 +176428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.516733276,0.996 +176427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.158009614,0.996 +176429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.029060782,0.996 +176430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.187692238,0.996 +176431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.586810832,0.996 +176432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.329720131,0.996 +176433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.924827744,0.996 +176434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.09466757,0.996 +176435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.414687492,0.996 +176436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.661135422,0.996 +176437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.085053176,0.996 +176438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.139691722,0.996 +176439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.131066514,0.996 +176440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.541802588,0.996 +176441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.206557246,0.996 +176442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.022038666,0.996 +176443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,8.440931617,0.996 +176445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.732842363,0.996 +176444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.5515539,0.996 +176446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.572287777,0.996 +176447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,8.127025588,0.996 +176448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.70575574,0.996 +176450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.698679975,0.996 +176451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.072571525,0.996 +176452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.932843713,0.996 +176449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.006313537,0.996 +176453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.732682205,0.996 +176454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.103302204,0.996 +176455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.545283138,0.996 +176456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.161270778,0.996 +176457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.64314576,0.996 +176459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.591983898,0.996 +176458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.187421724,0.996 +176460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.725348455,0.996 +176461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.8594628,0.996 +176462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.598280768,0.996 +176463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.82327961,0.996 +176465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.308421685,0.996 +176466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.374261413,0.996 +176467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.589915348,0.996 +176468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.939528105,0.996 +176470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.660326857,0.996 +176469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.308117917,0.996 +176464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.421200663,0.996 +176471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.224773476,0.996 +176474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.855466015,0.996 +176473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.50085416,0.996 +176472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.926829182,0.996 +176476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.817115328,0.996 +176475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.458171086,0.996 +176477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.938353914,0.996 +176478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.272403046,0.996 +176480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.783670539,0.996 +176481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,8.185787186,0.996 +176482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.29795146,0.996 +176483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.70691858,0.996 +176485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.124810556,0.996 +176479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.931103339,0.996 +176484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.569308614,0.996 +176486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.802750997,0.996 +176489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.648593445,0.996 +176487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.621030434,0.996 +176488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.266268276,0.996 +176490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,0.761721812,0.996 +176491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.463174736,0.996 +176492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.921139104,0.996 +176494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.883755582,0.996 +176495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.076801866,0.996 +176496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.369113897,0.996 +176497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.20954956,0.996 +176493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.008360065,0.996 +176498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.819888083,0.996 +176499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.979240254,0.996 +176501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,9.065932894,0.996 +176502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.829982646,0.996 +176500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.81828613,0.996 +176503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.979701268,0.996 +176504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,8.712233859,0.996 +176505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.264878191,0.996 +176506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.005031173,0.996 +176507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.119668444,0.996 +176508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.447400513,0.996 +176509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.388871446,0.996 +176510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.698784307,0.996 +176511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,-0.003130162,0.996 +176514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.512985582,0.996 +176513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.711189955,0.996 +176512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.404208067,0.996 +176515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.040321353,0.996 +176517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.433659501,0.996 +176519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.357984567,0.996 +176518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.085744142,0.996 +176516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.95235928,0.996 +176520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.968979564,0.996 +176521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.741734154,0.996 +176522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.237486608,0.996 +176523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.448497816,0.996 +176525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.040215231,0.996 +176524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.935287498,0.996 +176526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.654802773,0.996 +176527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.200945514,0.996 +176530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.063123649,0.996 +176529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.999282016,0.996 +176531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.811656272,0.996 +176528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.103616554,0.996 +176533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,10.2146758,0.996 +176535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.375704602,0.996 +176534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.879131361,0.996 +176532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.561886834,0.996 +176536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.73032394,0.996 +176537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.754862948,0.996 +176538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.11461377,0.996 +176539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.557857224,0.996 +176540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.188223607,0.996 +176542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.665687157,0.996 +176541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.329758629,0.996 +176543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.984816771,0.996 +176544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.853265833,0.996 +176545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.8570629,0.996 +176547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.352421901,0.996 +176546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.545891999,0.996 +176548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.362089694,0.996 +176549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.947306875,0.996 +176550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.27592822,0.996 +176551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,10.2517194,0.996 +176552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.238148267,0.996 +176553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.212547708,0.996 +176554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.919735121,0.996 +176555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.932658704,0.996 +176556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.785153866,0.996 +176557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.561139653,0.996 +176559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.999316056,0.996 +176558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.866835548,0.996 +176560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.87254169,0.996 +176561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.527117573,0.996 +176562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.331852856,0.996 +176563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.544569993,0.996 +176564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,8.049069953,0.996 +176565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.962422964,0.996 +176566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.902523823,0.996 +176567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.321572884,0.996 +176569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.957997957,0.996 +176570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.119441236,0.996 +176571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.126925101,0.996 +176568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.875754079,0.996 +176572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.438439277,0.996 +176573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.281864275,0.996 +176574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.407657617,0.996 +176576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.740561537,0.996 +176577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.273201132,0.996 +176578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.904352873,0.996 +176575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.874436787,0.996 +176582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.513182809,0.996 +176579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.511764555,0.996 +176580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.777236286,0.996 +176581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.086281848,0.996 +176584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.391117812,0.996 +176585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.58852157,0.996 +176586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.065877932,0.996 +176588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.878222456,0.996 +176587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.777748656,0.996 +176583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,11.02006649,0.996 +176589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.297696895,0.996 +176591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.68769582,0.996 +176590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.733816984,0.996 +176593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.641071706,0.996 +176592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.531229032,0.996 +176595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.865562801,0.996 +176597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.329519326,0.996 +176594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.067774523,0.996 +176598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.719370157,0.996 +176596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.62913788,0.996 +176600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.858940141,0.996 +176599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.935512763,0.996 +176601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.038809355,0.996 +176602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.431638876,0.996 +176603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.156240735,0.996 +176605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.680159261,0.996 +176606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.348640617,0.996 +176607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.241863195,0.996 +176604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.432452925,0.996 +176610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.737695823,0.996 +176609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.372737675,0.996 +176608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.190459633,0.996 +176611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.487723626,0.996 +176613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.007597383,0.996 +176612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.114600729,0.996 +176614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.072307455,0.996 +176617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.973021322,0.996 +176616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.006677373,0.996 +176615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.287871579,0.996 +176618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.913596266,0.996 +176619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.875853537,0.996 +176620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.591898027,0.996 +176622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.550108476,0.996 +176621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.648365443,0.996 +176623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.87861423,0.996 +176624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.5404004,0.996 +176626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.631847758,0.996 +176627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.617516949,0.996 +176625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.199243062,0.996 +176628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.786448855,0.996 +176629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.599369949,0.996 +176630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.926353296,0.996 +176632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.791679058,0.996 +176631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.769717764,0.996 +176633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.796956451,0.996 +176634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.010372991,0.996 +176635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.162697878,0.996 +176637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.424565886,0.996 +176636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.786882819,0.996 +176638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.404830559,0.996 +176639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.787969028,0.996 +176640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.534131745,0.996 +176641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.155887782,0.996 +176642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.022180269,0.996 +176644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.015499068,0.996 +176643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.002720183,0.996 +176645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.480729643,0.996 +176646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.88291622,0.996 +176647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.087596121,0.996 +176648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.434876813,0.996 +176649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.549400537,0.996 +176650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.817868977,0.996 +176651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.024273463,0.996 +176652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.170411179,0.996 +176654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.813127662,0.996 +176653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.66268218,0.996 +176656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.08256457,0.996 +176655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.134071105,0.996 +176658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.074649924,0.996 +176657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,0.591274153,0.996 +176659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.917324893,0.996 +176660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.928985794,0.996 +176661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.343627683,0.996 +176662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.134492368,0.996 +176663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.80347283,0.996 +176664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.524107199,0.996 +176666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.534509572,0.996 +176667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.057729464,0.996 +176665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.726218503,0.996 +176668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.033839338,0.996 +176669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.907787999,0.996 +176670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.106284386,0.996 +176672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.541568892,0.996 +176671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.724944137,0.996 +176674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.148230146,0.996 +176673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.925114984,0.996 +176675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.691993054,0.996 +176678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.167718863,0.996 +176677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.285915294,0.996 +176679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.318360566,0.996 +176676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.358132403,0.996 +176680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.780263768,0.996 +176681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.80228503,0.996 +176682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.399787433,0.996 +176685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.347283301,0.996 +176684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.310743915,0.996 +176686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.602365084,0.996 +176683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.885071472,0.996 +176687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.323278476,0.996 +176688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.693931639,0.996 +176689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.823550508,0.996 +176690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.373022673,0.996 +176691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.386557946,0.996 +176692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.89786457,0.996 +176693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.188121748,0.996 +176694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.106096797,0.996 +176695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,-0.234367888,0.996 +176696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.001049097,0.996 +176697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.10650393,0.996 +176699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.532671128,0.996 +176700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.736806977,0.996 +176701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.488711851,0.996 +176702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.077639583,0.996 +176698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.657170036,0.996 +176703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.404221198,0.996 +176706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.774480713,0.996 +176704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.9961631,0.996 +176705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,0.641382634,0.996 +176707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.529036707,0.996 +176709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.962202526,0.996 +176710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.079720089,0.996 +176708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.817905012,0.996 +176711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,0.722059164,0.996 +176713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.013606793,0.996 +176712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.97357396,0.996 +176714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.810674338,0.996 +176715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.603227304,0.996 +176717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.958623153,0.996 +176719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.800556084,0.996 +176716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.668314641,0.996 +176718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.728546329,0.996 +176720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,8.33165704,0.996 +176721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.167206733,0.996 +176722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.006758795,0.996 +176723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.599615618,0.996 +176724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.263126522,0.996 +176725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.157011961,0.996 +176726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,8.815389668,0.996 +176729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.218257456,0.996 +176728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.437161479,0.996 +176727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.659511718,0.996 +176730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.877482755,0.996 +176731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.596081437,0.996 +176732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.138178943,0.996 +176734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,9.02271693,0.996 +176733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.791400924,0.996 +176738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.099190171,0.996 +176736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.668478894,0.996 +176735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,10.28331936,0.996 +176737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.464971829,0.996 +176741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.994213878,0.996 +176740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.563694089,0.996 +176739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.750174163,0.996 +176742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.470330593,0.996 +176743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.54980978,0.996 +176744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.528362799,0.996 +176745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.530090244,0.996 +176746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.365920589,0.996 +176747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.799069914,0.996 +176748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.227261902,0.996 +176750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,9.711416645,0.996 +176749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.342267794,0.996 +176751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.611245566,0.996 +176752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.259193025,0.996 +176753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.727757411,0.996 +176754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.511447647,0.996 +176755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,0.743164084,0.996 +176758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.017642999,0.996 +176759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.621799758,0.996 +176757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.882528223,0.996 +176756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.945852254,0.996 +176760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.786570786,0.996 +176761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.565814821,0.996 +176762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,0.719424786,0.996 +176763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.480979362,0.996 +176765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.100189873,0.996 +176764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.889665735,0.996 +176767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.268812642,0.996 +176766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,9.352069899,0.996 +176768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.005185614,0.996 +176769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.44958731,0.996 +176770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.558709319,0.996 +176771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.396665186,0.996 +176772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.681720569,0.996 +176773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.86418915,0.996 +176774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.431899788,0.996 +176775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.455719081,0.996 +176776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.773950336,0.996 +176778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.295777606,0.996 +176777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.719090342,0.996 +176779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.758164307,0.996 +176780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.393655934,0.996 +176782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,8.962643596,0.996 +176781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.756006463,0.996 +176783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.632372125,0.996 +176784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.081582265,0.996 +176785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.930913843,0.996 +176786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.06868207,0.996 +176787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.627378764,0.996 +176789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.605121238,0.996 +176791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.008909848,0.996 +176790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.788832378,0.996 +176788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.272007453,0.996 +176794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.688327466,0.996 +176795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.419720626,0.996 +176792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.633183868,0.996 +176793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.899200961,0.996 +176797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.6012318,0.996 +176798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.939007951,0.996 +176799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,8.678362866,0.996 +176796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.359306016,0.996 +176800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.869025551,0.996 +176801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.584568355,0.996 +176802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.760073614,0.996 +176803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.794543127,0.996 +176804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.50963709,0.996 +176806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,9.710841067,0.996 +176805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.417468054,0.996 +176807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.902518848,0.996 +176808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.389677095,0.996 +176810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.922737856,0.996 +176811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.625666033,0.996 +176812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.776545661,0.996 +176809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.830285684,0.996 +176813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.838567751,0.996 +176814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.157108705,0.996 +176815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.255205828,0.996 +176816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.664033913,0.996 +176817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.766770401,0.996 +176818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.131152245,0.996 +176819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.84945418,0.996 +176820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,8.503366784,0.996 +176821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.791435416,0.996 +176823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.491680032,0.996 +176824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.629344669,0.996 +176822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.382636001,0.996 +176825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,10.57177166,0.996 +176826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,0.527929097,0.996 +176828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.958715764,0.996 +176829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.254956664,0.996 +176827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.516293203,0.996 +176830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.493479165,0.996 +176831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.499385802,0.996 +176833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,0.837720301,0.996 +176832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.902730744,0.996 +176834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.101700076,0.996 +176836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.92618242,0.996 +176837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.657317891,0.996 +176835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.327947831,0.996 +176838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.297854074,0.996 +176840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.407640328,0.996 +176839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.76052971,0.996 +176841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,8.703509296,0.996 +176842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.227333523,0.996 +176843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.16471596,0.996 +176844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.325243891,0.996 +176846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.364875428,0.996 +176847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.448363778,0.996 +176845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.372680083,0.996 +176848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.721471034,0.996 +176849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.70918996,0.996 +176850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.219064791,0.996 +176852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.563774272,0.996 +176853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.959851162,0.996 +176854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.164873498,0.996 +176855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.630768321,0.996 +176856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.390124948,0.996 +176851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.323960167,0.996 +176859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.28130043,0.996 +176858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,9.595446757,0.996 +176857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.878442449,0.996 +176860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.38563238,0.996 +176861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.913178373,0.996 +176862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.084616034,0.996 +176863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,9.872141785,0.996 +176865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.575546391,0.996 +176867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.178286328,0.996 +176866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.303302881,0.996 +176868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.557719616,0.996 +176869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.36555083,0.996 +176870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.351401682,0.996 +176864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.584110904,0.996 +176872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.103623739,0.996 +176874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.496197277,0.996 +176871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,0.964142061,0.996 +176873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.036972875,0.996 +176875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.68580696,0.996 +176876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.628244555,0.996 +176878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.133410909,0.996 +176877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.434295472,0.996 +176879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.537208251,0.996 +176881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,8.18885635,0.996 +176880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.450039281,0.996 +176882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.521354669,0.996 +176883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.220606056,0.996 +176885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.868659271,0.996 +176886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.585318067,0.996 +176887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.043008916,0.996 +176884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.119641114,0.996 +176888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.512312986,0.996 +176889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.061295498,0.996 +176890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.310949686,0.996 +176891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.365458879,0.996 +176892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.905409703,0.996 +176893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,0.090247488,0.996 +176894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.25925119,0.996 +176896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,9.347449388,0.996 +176895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.007096108,0.996 +176897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,0.600231175,0.996 +176898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.334071218,0.996 +176899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.273120926,0.996 +176901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.544362644,0.996 +176902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.35630071,0.996 +176900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.330558979,0.996 +176903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.93578812,0.996 +176905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.328479221,0.996 +176904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.593040806,0.996 +176906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.876643582,0.996 +176908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.43970079,0.996 +176907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.070912625,0.996 +176910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.996644544,0.996 +176912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.172073208,0.996 +176911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.598583985,0.996 +176909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.996123002,0.996 +176915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.329128666,0.996 +176913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.908712956,0.996 +176914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.491652199,0.996 +176916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.445129091,0.996 +176917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.903476803,0.996 +176918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.027244661,0.996 +176919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,0.629712743,0.996 +176920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.075921579,0.996 +176923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.117922819,0.996 +176921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.338586802,0.996 +176922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.356737539,0.996 +176925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.915726888,0.996 +176926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.575591792,0.996 +176927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.614060976,0.996 +176924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.604930904,0.996 +176928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.290377071,0.996 +176929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.959961835,0.996 +176931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.576224943,0.996 +176930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.997602876,0.996 +176932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,8.714642728,0.996 +176933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.404713241,0.996 +176934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.201420198,0.996 +176935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.464248576,0.996 +176936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.770467372,0.996 +176937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.721538413,0.996 +176938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.508079246,0.996 +176939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.453549601,0.996 +176940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.562838099,0.996 +176941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.566228093,0.996 +176942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.670843519,0.996 +176943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.534419196,0.996 +176944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.923069951,0.996 +176945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.417588688,0.996 +176946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.408691382,0.996 +176948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.521109626,0.996 +176947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,0.759230621,0.996 +176949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,0.911718092,0.996 +176950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.182789529,0.996 +176951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.145099136,0.996 +176953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.375248065,0.996 +176952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.553948513,0.996 +176954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.109290563,0.996 +176955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.470331323,0.996 +176956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,0.550018708,0.996 +176958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.243305591,0.996 +176957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.53881103,0.996 +176959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.512532435,0.996 +176960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.660589568,0.996 +176962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.283867538,0.996 +176961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.051007585,0.996 +176964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.818656648,0.996 +176963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.309144307,0.996 +176965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.789379296,0.996 +176966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.028376477,0.996 +176967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.683169846,0.996 +176968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.428801472,0.996 +176969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.524773916,0.996 +176971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.504353449,0.996 +176970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.382319594,0.996 +176972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.150377144,0.996 +176973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.807414174,0.996 +176974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.761815525,0.996 +176975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,9.388348031,0.996 +176976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.477962148,0.996 +176977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.210490337,0.996 +176979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,8.973915281,0.996 +176978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.047340402,0.996 +176980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.166818424,0.996 +176981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.749436469,0.996 +176982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.859037894,0.996 +176983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,7.662632349,0.996 +176984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.647399044,0.996 +176985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.540237951,0.996 +176986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.598375043,0.996 +176987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,6.164790456,0.996 +176988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.828483562,0.996 +176989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.597164497,0.996 +176990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.399843727,0.996 +176991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,8.356438273,0.996 +176992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.685957258,0.996 +176994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,5.754360194,0.996 +176995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,8.718721556,0.996 +176996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,4.345721544,0.996 +176997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,2.861064489,0.996 +176998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,0.944056565,0.996 +176999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,3.680348495,0.996 +177000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,8.473940934,0.996 +176993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,7,1,1.210236658,0.996 +186001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.927748994,0.992 +186002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.368513199,0.992 +186003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.431727812,0.992 +186004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.517967432,0.992 +186006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.838428872,0.992 +186007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.528224824,0.992 +186005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.444350874,0.992 +186008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.464642834,0.992 +186009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.231732775,0.992 +186011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.601805161,0.992 +186010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.025631969,0.992 +186012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.985939401,0.992 +186014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.390291033,0.992 +186013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.90790203,0.992 +186016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.772355737,0.992 +186017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.233470483,0.992 +186018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,-0.044359561,0.992 +186015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.941673821,0.992 +186021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.099179125,0.992 +186019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.253212929,0.992 +186020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.035621394,0.992 +186024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.020100779,0.992 +186023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,-0.864820752,0.992 +186022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,8.887272996,0.992 +186025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.582669229,0.992 +186026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.669935398,0.992 +186028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.337886998,0.992 +186029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.545899074,0.992 +186030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.404571459,0.992 +186027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.401029575,0.992 +186032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.859508676,0.992 +186031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.045661371,0.992 +186033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.300339444,0.992 +186034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.416927942,0.992 +186035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.125320967,0.992 +186036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.855293319,0.992 +186037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.425225992,0.992 +186038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.856442301,0.992 +186039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.60797351,0.992 +186040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.933817107,0.992 +186042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.222184,0.992 +186041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.708668153,0.992 +186043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.455653282,0.992 +186046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.515712106,0.992 +186045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.544457532,0.992 +186044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.60070688,0.992 +186047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.002600743,0.992 +186048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.894963821,0.992 +186050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.151061424,0.992 +186051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.442731986,0.992 +186049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,10.15715698,0.992 +186052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.94598013,0.992 +186053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.417330395,0.992 +186055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.21156793,0.992 +186054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.816160855,0.992 +186056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.883747167,0.992 +186057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.528524634,0.992 +186058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.149954268,0.992 +186059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.490301167,0.992 +186060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.871680462,0.992 +186061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.921617632,0.992 +186062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.632304282,0.992 +186063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.813715029,0.992 +186064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.927701879,0.992 +186065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.493963031,0.992 +186067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.882768108,0.992 +186066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.511674776,0.992 +186068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.119837486,0.992 +186069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.655386449,0.992 +186070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.261875339,0.992 +186071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.739796982,0.992 +186072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,11.68155131,0.992 +186074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.538100343,0.992 +186073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.743146602,0.992 +186075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.102379666,0.992 +186076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.177899861,0.992 +186077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.36762278,0.992 +186078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,9.479786658,0.992 +186079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.313422664,0.992 +186080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.255741914,0.992 +186081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.599963935,0.992 +186082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.029628821,0.992 +186083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.546809407,0.992 +186084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,9.033271729,0.992 +186085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.426785722,0.992 +186086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,8.565493179,0.992 +186087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.699258531,0.992 +186088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.543549503,0.992 +186089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.701985775,0.992 +186091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.862480798,0.992 +186092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.506554299,0.992 +186093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.168732601,0.992 +186090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.579241716,0.992 +186094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.033848138,0.992 +186095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.239660744,0.992 +186096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.025273256,0.992 +186097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.172209697,0.992 +186099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.411807431,0.992 +186098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.767994848,0.992 +186100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.152892619,0.992 +186102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.202037914,0.992 +186103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.06134832,0.992 +186104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.215303462,0.992 +186105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.447979048,0.992 +186106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.089128956,0.992 +186107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.321232406,0.992 +186101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.778289154,0.992 +186108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.882789835,0.992 +186111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.179173882,0.992 +186110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.592339958,0.992 +186109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.177204009,0.992 +186113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.797170193,0.992 +186112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.939470509,0.992 +186115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.843136639,0.992 +186114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.111804724,0.992 +186117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.595035027,0.992 +186118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.946713974,0.992 +186119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.214348897,0.992 +186120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.39903707,0.992 +186121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.38235309,0.992 +186122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.689452843,0.992 +186116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.384722237,0.992 +186124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.744337206,0.992 +186123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.33224201,0.992 +186125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.579135928,0.992 +186126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.288860801,0.992 +186127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.628505526,0.992 +186128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.619745651,0.992 +186130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.065676678,0.992 +186129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.504207566,0.992 +186131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.992242196,0.992 +186132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.262422344,0.992 +186134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.504585793,0.992 +186133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.881019998,0.992 +186135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.807662369,0.992 +186136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.367693665,0.992 +186137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.196520795,0.992 +186139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.754713956,0.992 +186140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.312633709,0.992 +186141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.396208579,0.992 +186138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.050065433,0.992 +186142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.065464095,0.992 +186144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.132790699,0.992 +186145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.882501761,0.992 +186143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.865636164,0.992 +186146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.26022305,0.992 +186147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.903723449,0.992 +186149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.160809043,0.992 +186150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.509813777,0.992 +186148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.379552501,0.992 +186151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,9.157981682,0.992 +186152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.956148908,0.992 +186154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.253188437,0.992 +186155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.659803461,0.992 +186156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.092779205,0.992 +186153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.290186464,0.992 +186158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,9.71892686,0.992 +186159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.38529197,0.992 +186160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.679197967,0.992 +186157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.567599345,0.992 +186161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.714256556,0.992 +186162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.147339271,0.992 +186164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.829579345,0.992 +186163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.39642299,0.992 +186165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.909026425,0.992 +186166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.679056125,0.992 +186167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.477262297,0.992 +186168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,8.993756133,0.992 +186169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.632784512,0.992 +186170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.990404312,0.992 +186171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.378628705,0.992 +186173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,11.67407074,0.992 +186172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.67209994,0.992 +186175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.698736989,0.992 +186174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.435252177,0.992 +186176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.310535767,0.992 +186178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.089654214,0.992 +186179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.215534655,0.992 +186177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.525092615,0.992 +186180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.326051763,0.992 +186181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.797141129,0.992 +186182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,9.775892132,0.992 +186183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.566742962,0.992 +186184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.390534609,0.992 +186186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.281352525,0.992 +186185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.07252526,0.992 +186187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.147416987,0.992 +186188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.944145039,0.992 +186189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.116073836,0.992 +186190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.101207489,0.992 +186191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.74261755,0.992 +186192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.834859883,0.992 +186193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.021011397,0.992 +186194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.777757978,0.992 +186195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.118419877,0.992 +186197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.083169753,0.992 +186196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.449665456,0.992 +186198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.586809408,0.992 +186199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.158654209,0.992 +186200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.846533894,0.992 +186201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.675680714,0.992 +186202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,9.200720416,0.992 +186204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.239084399,0.992 +186203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.24459507,0.992 +186205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.269614342,0.992 +186206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.672832764,0.992 +186207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,10.48067908,0.992 +186209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.519562119,0.992 +186208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.718747753,0.992 +186210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.981678787,0.992 +186211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.348615615,0.992 +186212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.727622421,0.992 +186213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,8.918966785,0.992 +186214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,12.2063586,0.992 +186215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.19221716,0.992 +186216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.879635163,0.992 +186218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.960952333,0.992 +186217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.346660717,0.992 +186219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.357527576,0.992 +186220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.807279942,0.992 +186221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.977600203,0.992 +186223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.247006283,0.992 +186224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.836478582,0.992 +186222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.807275293,0.992 +186225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.605969779,0.992 +186226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.543922732,0.992 +186227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.35941365,0.992 +186229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.009232316,0.992 +186230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.498511767,0.992 +186228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.298544956,0.992 +186231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.637203405,0.992 +186234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.344698755,0.992 +186232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.326020457,0.992 +186233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.055935421,0.992 +186235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.30394877,0.992 +186236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.092896768,0.992 +186237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.999170515,0.992 +186238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.130126178,0.992 +186239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.163257017,0.992 +186241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.640154803,0.992 +186242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.599597919,0.992 +186243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,11.0578121,0.992 +186244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.543064477,0.992 +186245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,-2.116019621,0.992 +186240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.182201111,0.992 +186246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,9.192470037,0.992 +186247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,-0.929104621,0.992 +186248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.787687195,0.992 +186249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.486242165,0.992 +186250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.615876238,0.992 +186251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.830152489,0.992 +186252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.32269897,0.992 +186253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.783997788,0.992 +186254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.860140271,0.992 +186255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.363457506,0.992 +186256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,8.766512762,0.992 +186258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.524458499,0.992 +186259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.168872714,0.992 +186260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.757314369,0.992 +186261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.441226922,0.992 +186262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.013205662,0.992 +186257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.470511931,0.992 +186263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.982270763,0.992 +186264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.2868713,0.992 +186265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.936745703,0.992 +186266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.425872305,0.992 +186267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.770443059,0.992 +186268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.475959731,0.992 +186271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.925826325,0.992 +186269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,10.68290684,0.992 +186270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.735061548,0.992 +186272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.399367287,0.992 +186274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.91181159,0.992 +186273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.69907817,0.992 +186277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,12.53033903,0.992 +186276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.961545213,0.992 +186278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.861502719,0.992 +186275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.35960147,0.992 +186281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.466424361,0.992 +186280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.92129824,0.992 +186279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.304804605,0.992 +186282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.892980351,0.992 +186283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.27975806,0.992 +186284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.227253413,0.992 +186285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.027034791,0.992 +186286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.266799034,0.992 +186287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.044661079,0.992 +186288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.799281936,0.992 +186289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.512551099,0.992 +186290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.005491218,0.992 +186291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.277508285,0.992 +186293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.024870689,0.992 +186292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.167222781,0.992 +186295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.632911462,0.992 +186294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.22766039,0.992 +186297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.430514182,0.992 +186296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.960003676,0.992 +186298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.652740428,0.992 +186300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.473210935,0.992 +186299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.715896857,0.992 +186301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.987020284,0.992 +186302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.533286493,0.992 +186303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.670244402,0.992 +186304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.23677695,0.992 +186305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.316163365,0.992 +186306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.841294117,0.992 +186309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,9.977343371,0.992 +186308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.322739577,0.992 +186307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.800153951,0.992 +186310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.070219478,0.992 +186311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.634342023,0.992 +186313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.970366539,0.992 +186312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.788774798,0.992 +186315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,-0.36613313,0.992 +186314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.451250778,0.992 +186316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.086614902,0.992 +186317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.472822173,0.992 +186318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.235945359,0.992 +186320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.145048735,0.992 +186319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.899286265,0.992 +186321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.245069395,0.992 +186322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.178353166,0.992 +186324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.777190373,0.992 +186323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.809588035,0.992 +186327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,8.885911999,0.992 +186326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.098917159,0.992 +186328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.50472643,0.992 +186330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.72439692,0.992 +186325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.601219528,0.992 +186329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.740651804,0.992 +186331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.35550024,0.992 +186332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,8.445117426,0.992 +186334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.261862301,0.992 +186335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.353406121,0.992 +186333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.240131423,0.992 +186336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,8.477149933,0.992 +186337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.722040887,0.992 +186338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.428746745,0.992 +186339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.274678997,0.992 +186340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.407224441,0.992 +186342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.91069357,0.992 +186341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.4614772,0.992 +186346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.699300484,0.992 +186344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.311922813,0.992 +186345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.014109941,0.992 +186343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.920517726,0.992 +186347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.309178622,0.992 +186348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.576494314,0.992 +186349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.023017861,0.992 +186351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,10.05829175,0.992 +186352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.978431182,0.992 +186353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.017859189,0.992 +186350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.655570885,0.992 +186357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.561247881,0.992 +186354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.468583203,0.992 +186356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.301367797,0.992 +186355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.165128844,0.992 +186359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.657622958,0.992 +186358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.869988929,0.992 +186360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.827083204,0.992 +186361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.5405078,0.992 +186362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.399160897,0.992 +186363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.694532368,0.992 +186364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.791962545,0.992 +186365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,8.55849772,0.992 +186366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.399829032,0.992 +186368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.598457968,0.992 +186369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.010557772,0.992 +186367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.243436733,0.992 +186370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.184039626,0.992 +186373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.506273861,0.992 +186374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.67130442,0.992 +186372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.728924035,0.992 +186371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.446776942,0.992 +186375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.371417185,0.992 +186376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.362216759,0.992 +186378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.261627759,0.992 +186377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.318599985,0.992 +186379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.266615495,0.992 +186380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,12.217602,0.992 +186381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.324066316,0.992 +186382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.878237232,0.992 +186384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.910730465,0.992 +186385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.21786929,0.992 +186383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.246811721,0.992 +186386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.633005099,0.992 +186387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.722249306,0.992 +186390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.101561833,0.992 +186389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.373594585,0.992 +186388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.336815384,0.992 +186391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,8.968657781,0.992 +186392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.964153861,0.992 +186393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.629483771,0.992 +186394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.347900008,0.992 +186395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,9.98353927,0.992 +186398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,9.098800633,0.992 +186397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.658488947,0.992 +186396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,9.188713082,0.992 +186400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.923272182,0.992 +186399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.011643844,0.992 +186401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.733073959,0.992 +186404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.804718459,0.992 +186402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.886909294,0.992 +186403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.680590571,0.992 +186405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.946417862,0.992 +186406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.771288878,0.992 +186407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.149893526,0.992 +186408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.688641058,0.992 +186409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.790808745,0.992 +186410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.915876801,0.992 +186412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.28838088,0.992 +186413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,10.28994644,0.992 +186411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.185300573,0.992 +186415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.402876641,0.992 +186414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.164506783,0.992 +186416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.523388349,0.992 +186417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.730226775,0.992 +186420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.158989828,0.992 +186418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.796616384,0.992 +186419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.631378436,0.992 +186421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.259024017,0.992 +186422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.424329689,0.992 +186423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.569930243,0.992 +186424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.908764796,0.992 +186426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.424262418,0.992 +186425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.191342029,0.992 +186428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.692762887,0.992 +186427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,9.597079661,0.992 +186430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.1148159,0.992 +186431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,8.284547041,0.992 +186429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.100096501,0.992 +186432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.254758478,0.992 +186433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.482631289,0.992 +186434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,9.455414139,0.992 +186435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,8.522330755,0.992 +186436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.794586793,0.992 +186438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.822105737,0.992 +186437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.769142445,0.992 +186439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.270003102,0.992 +186440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.15662947,0.992 +186441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.716784607,0.992 +186443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.399177398,0.992 +186442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.346456427,0.992 +186444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.346011847,0.992 +186445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.920796478,0.992 +186446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.937229484,0.992 +186447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.711134887,0.992 +186448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.226267606,0.992 +186449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.752461119,0.992 +186450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.86101784,0.992 +186451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.812588598,0.992 +186452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.502514437,0.992 +186453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.199937949,0.992 +186454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.996890735,0.992 +186455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.423936496,0.992 +186456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.308432802,0.992 +186458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,9.434566355,0.992 +186457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.156237495,0.992 +186459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.269026491,0.992 +186460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.946236559,0.992 +186462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.731458605,0.992 +186461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.792068993,0.992 +186464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.560314881,0.992 +186465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.756673996,0.992 +186466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.540990281,0.992 +186467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.358653675,0.992 +186468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,8.171604753,0.992 +186469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.496207321,0.992 +186463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.907347071,0.992 +186470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.172156652,0.992 +186472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.134425037,0.992 +186471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.234090252,0.992 +186473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.051059331,0.992 +186474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.342804336,0.992 +186475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.219051484,0.992 +186476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.121521926,0.992 +186477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.746568479,0.992 +186478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.944672192,0.992 +186479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.48513403,0.992 +186481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.684550796,0.992 +186480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.676364707,0.992 +186482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.853147371,0.992 +186483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.104514974,0.992 +186485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.431189943,0.992 +186486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.822244823,0.992 +186487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.752743853,0.992 +186488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.710066315,0.992 +186489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.991403442,0.992 +186490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.122382248,0.992 +186491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.811896324,0.992 +186484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.002637266,0.992 +186492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.865931974,0.992 +186495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.653831765,0.992 +186494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.730594115,0.992 +186493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.240993978,0.992 +186496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.378078491,0.992 +186497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.272427871,0.992 +186498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.403874818,0.992 +186499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.127593422,0.992 +186500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.589548811,0.992 +186501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.333631389,0.992 +186502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.472596996,0.992 +186503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,10.65843068,0.992 +186504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.34850811,0.992 +186506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.632259693,0.992 +186507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.866613628,0.992 +186505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.440440849,0.992 +186508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.830814898,0.992 +186510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,9.017121646,0.992 +186509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.144746873,0.992 +186512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.79653031,0.992 +186511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.64819947,0.992 +186513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.268649228,0.992 +186514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.681912133,0.992 +186515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.616301154,0.992 +186516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.058899265,0.992 +186517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.785678142,0.992 +186519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.748839391,0.992 +186518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,-0.488462532,0.992 +186521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.566951324,0.992 +186522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.011765653,0.992 +186520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.846718249,0.992 +186523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.620505542,0.992 +186524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.868403598,0.992 +186527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.980883773,0.992 +186525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.712825675,0.992 +186526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.963841606,0.992 +186529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.231529872,0.992 +186528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,13.29042349,0.992 +186530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.988957358,0.992 +186533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.911581464,0.992 +186532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.991219289,0.992 +186531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,9.728509293,0.992 +186534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.206677451,0.992 +186535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.518146749,0.992 +186537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.141337975,0.992 +186536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.373049079,0.992 +186538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.411219789,0.992 +186539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.753467817,0.992 +186540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.992952786,0.992 +186541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.717804571,0.992 +186542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.025340738,0.992 +186543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.078295309,0.992 +186544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.678911571,0.992 +186546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.557608274,0.992 +186547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.816090078,0.992 +186545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.348143805,0.992 +186548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.323898284,0.992 +186549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.444131744,0.992 +186550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.66836229,0.992 +186551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.935034139,0.992 +186552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.333624117,0.992 +186553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.757856695,0.992 +186555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.047566934,0.992 +186554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,11.75240715,0.992 +186557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,9.462907736,0.992 +186556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.738577609,0.992 +186558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.201857851,0.992 +186559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.055157224,0.992 +186560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.546021163,0.992 +186561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.722025171,0.992 +186563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.660136922,0.992 +186562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.569259442,0.992 +186564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.881142599,0.992 +186566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.186943323,0.992 +186565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.866627794,0.992 +186567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.198258694,0.992 +186568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,11.94083406,0.992 +186570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,9.815614938,0.992 +186569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.579356108,0.992 +186571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.510002901,0.992 +186573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.789893404,0.992 +186572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.792947296,0.992 +186574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.52078373,0.992 +186577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.316793441,0.992 +186576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.808631038,0.992 +186578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.994968499,0.992 +186575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.609729949,0.992 +186580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.743355472,0.992 +186579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.560173644,0.992 +186581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.579869753,0.992 +186584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.386570764,0.992 +186583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.10654287,0.992 +186585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.284024638,0.992 +186582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.112245669,0.992 +186588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.32561357,0.992 +186586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,8.173655562,0.992 +186587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.408471703,0.992 +186589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.49466446,0.992 +186590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,-0.006132336,0.992 +186591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.554382833,0.992 +186593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.357389331,0.992 +186592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.84848907,0.992 +186594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.91415487,0.992 +186595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.48582837,0.992 +186596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.510137441,0.992 +186597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.686545525,0.992 +186598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.00214016,0.992 +186600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.74305638,0.992 +186599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.021825049,0.992 +186602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,9.01011412,0.992 +186601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.650972451,0.992 +186604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,9.006928981,0.992 +186603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.000909261,0.992 +186605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.658970315,0.992 +186606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.229915341,0.992 +186607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,13.10035756,0.992 +186608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.762524296,0.992 +186609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.746757159,0.992 +186610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.742804604,0.992 +186612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,8.335995899,0.992 +186611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.133691911,0.992 +186614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.18822766,0.992 +186613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.123633898,0.992 +186615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.477335126,0.992 +186617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.35962015,0.992 +186616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,9.753095978,0.992 +186619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.561563918,0.992 +186618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.98019265,0.992 +186620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.492165148,0.992 +186621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.30156116,0.992 +186623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,9.127511453,0.992 +186622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.099758779,0.992 +186624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.812997,0.992 +186626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,13.01888582,0.992 +186625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.63874994,0.992 +186627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.6773013,0.992 +186628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.986374536,0.992 +186630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.425941298,0.992 +186629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.449082217,0.992 +186631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.062250065,0.992 +186634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,8.881902213,0.992 +186632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.214592568,0.992 +186633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.300489918,0.992 +186635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.383928148,0.992 +186636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.695932486,0.992 +186637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,8.442760897,0.992 +186638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.485837897,0.992 +186639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.37669713,0.992 +186641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.190807051,0.992 +186640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.526456263,0.992 +186642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.89762879,0.992 +186644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.247242531,0.992 +186645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.287261889,0.992 +186643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,9.286782197,0.992 +186646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.946453436,0.992 +186648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.783860544,0.992 +186649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.118747435,0.992 +186647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.908166389,0.992 +186650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.708544585,0.992 +186651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.121803886,0.992 +186653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.59808078,0.992 +186654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.579991794,0.992 +186652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,8.089650339,0.992 +186655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.045844261,0.992 +186656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.241255413,0.992 +186657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.652258823,0.992 +186658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.284220111,0.992 +186659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.496388763,0.992 +186660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.663415378,0.992 +186661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.799604124,0.992 +186662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.589248573,0.992 +186664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.238378559,0.992 +186663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.559321482,0.992 +186665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.943264865,0.992 +186666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.078590295,0.992 +186667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.276533389,0.992 +186668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,8.074871323,0.992 +186669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.534155898,0.992 +186670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.716731987,0.992 +186672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.729300283,0.992 +186671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.689587438,0.992 +186673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.937592615,0.992 +186674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.909716753,0.992 +186675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.392226171,0.992 +186676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.677288574,0.992 +186677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.673837179,0.992 +186678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.515304563,0.992 +186679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.410472133,0.992 +186681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.991406051,0.992 +186680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.15100482,0.992 +186682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.464016109,0.992 +186683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.635830554,0.992 +186684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.240834661,0.992 +186685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.250990694,0.992 +186686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.141663997,0.992 +186688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.55239959,0.992 +186687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.640948182,0.992 +186689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.915869988,0.992 +186690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.650419432,0.992 +186691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.655402913,0.992 +186692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.382969221,0.992 +186693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.649858178,0.992 +186694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.422930933,0.992 +186695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.528441682,0.992 +186696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.432804802,0.992 +186698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.772622059,0.992 +186699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.137601871,0.992 +186700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.056273861,0.992 +186701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.824936691,0.992 +186702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.955727657,0.992 +186697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.829420144,0.992 +186703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.15223517,0.992 +186704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,9.584054139,0.992 +186705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.692003049,0.992 +186707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.399827101,0.992 +186706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.008756319,0.992 +186709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,10.58184343,0.992 +186708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.593972596,0.992 +186710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.506302736,0.992 +186711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.328289665,0.992 +186712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.868703719,0.992 +186713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.348599424,0.992 +186714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.654655383,0.992 +186716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.886822977,0.992 +186717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.231769649,0.992 +186718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.690896227,0.992 +186715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.857143687,0.992 +186719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.501333956,0.992 +186721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.863214818,0.992 +186720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.871921133,0.992 +186722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,8.228170163,0.992 +186723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.065324262,0.992 +186725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.226532298,0.992 +186724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.307809326,0.992 +186726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.888901818,0.992 +186727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.675954631,0.992 +186729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.605984646,0.992 +186728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.370978465,0.992 +186730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.507463323,0.992 +186731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.478854982,0.992 +186732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.201486895,0.992 +186733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,-0.213991817,0.992 +186736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.149947092,0.992 +186735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.79791948,0.992 +186737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.968374731,0.992 +186734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.660715967,0.992 +186738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.266629328,0.992 +186741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.989297666,0.992 +186740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.093578514,0.992 +186739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,8.421692236,0.992 +186742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.749375232,0.992 +186744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.013999051,0.992 +186745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.997341163,0.992 +186743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.11793766,0.992 +186746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.103384335,0.992 +186747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.864584832,0.992 +186748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.084978643,0.992 +186751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.689038917,0.992 +186750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.258814578,0.992 +186749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.572608762,0.992 +186752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.095475398,0.992 +186754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.40962125,0.992 +186753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.065473309,0.992 +186755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.448094229,0.992 +186757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.970570804,0.992 +186756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.667321959,0.992 +186758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.900300363,0.992 +186759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.781025356,0.992 +186760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.320792473,0.992 +186761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.782435258,0.992 +186762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.85308307,0.992 +186764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.051123746,0.992 +186763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.922245476,0.992 +186765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.363658378,0.992 +186766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.210356907,0.992 +186767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.121000257,0.992 +186769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.673676892,0.992 +186768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.270087325,0.992 +186770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.616815074,0.992 +186771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.171647917,0.992 +186772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.272464248,0.992 +186774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.866471095,0.992 +186773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.758886673,0.992 +186775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.156643859,0.992 +186776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.379682818,0.992 +186777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,8.151733846,0.992 +186778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.365365514,0.992 +186779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.612025353,0.992 +186780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.404942855,0.992 +186781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.611848474,0.992 +186783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.225994594,0.992 +186782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.139048271,0.992 +186784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.948360729,0.992 +186785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.733013756,0.992 +186786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.300245515,0.992 +186787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.460365062,0.992 +186788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.223027805,0.992 +186789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.763428615,0.992 +186790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.647874096,0.992 +186792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.204241372,0.992 +186793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.851265525,0.992 +186791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.144940468,0.992 +186794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.020557739,0.992 +186796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.452446161,0.992 +186795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.633499344,0.992 +186797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.086800896,0.992 +186798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.336431811,0.992 +186799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.749134895,0.992 +186800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.515394594,0.992 +186801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.626847057,0.992 +186802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,11.58768432,0.992 +186803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.523981248,0.992 +186804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.464216937,0.992 +186806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.524256019,0.992 +186807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,11.47733054,0.992 +186808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.625631904,0.992 +186805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.739410791,0.992 +186809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.662004855,0.992 +186810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.48437329,0.992 +186811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.160759912,0.992 +186813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.058339171,0.992 +186812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.690810052,0.992 +186814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.1542851,0.992 +186817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.207179746,0.992 +186815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.796268681,0.992 +186816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.114958476,0.992 +186818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.67848125,0.992 +186820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.112311718,0.992 +186821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.462383942,0.992 +186823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.07876701,0.992 +186822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.903905041,0.992 +186824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,9.087393893,0.992 +186819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.751154713,0.992 +186825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.04281856,0.992 +186826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.120519798,0.992 +186827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.633280695,0.992 +186829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.137559218,0.992 +186828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.030343321,0.992 +186831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.574759052,0.992 +186830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.572104776,0.992 +186832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,8.87600083,0.992 +186833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.860983636,0.992 +186835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.839322963,0.992 +186834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.380616947,0.992 +186836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.140155236,0.992 +186837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.944825053,0.992 +186838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.778520859,0.992 +186839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.268251761,0.992 +186840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.105533105,0.992 +186842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.871049588,0.992 +186843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.318113394,0.992 +186844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,8.793014217,0.992 +186841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.386354425,0.992 +186845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.753419165,0.992 +186846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.501091413,0.992 +186847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.170342102,0.992 +186848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.946004057,0.992 +186850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.041034244,0.992 +186849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,11.57490304,0.992 +186851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.891502613,0.992 +186853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.518719159,0.992 +186852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.182683341,0.992 +186854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.43336573,0.992 +186855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.414676123,0.992 +186856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.801306167,0.992 +186858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.04844975,0.992 +186857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.128910471,0.992 +186859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.361179916,0.992 +186861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.000257636,0.992 +186860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.881948801,0.992 +186862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.191224325,0.992 +186863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.101864498,0.992 +186865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.597881594,0.992 +186864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.428662328,0.992 +186867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.728117023,0.992 +186866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.742214628,0.992 +186868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.945616492,0.992 +186869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.244094129,0.992 +186870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.938031982,0.992 +186871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.344848146,0.992 +186872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.34881913,0.992 +186873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.244221447,0.992 +186874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.246447568,0.992 +186875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.265073789,0.992 +186877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,11.51476789,0.992 +186876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.364632073,0.992 +186878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.691057701,0.992 +186880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.691707766,0.992 +186881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.610991754,0.992 +186882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,10.3056969,0.992 +186879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.240251337,0.992 +186883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.371257657,0.992 +186885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.541217303,0.992 +186884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.203581908,0.992 +186886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,10.36279807,0.992 +186887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.111117857,0.992 +186889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.075302191,0.992 +186888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.335814568,0.992 +186890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.416524022,0.992 +186891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.311913337,0.992 +186892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.750586271,0.992 +186893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.869217137,0.992 +186895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.110539156,0.992 +186896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.599257666,0.992 +186894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.291249144,0.992 +186897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.025794579,0.992 +186898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.526027112,0.992 +186899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.66930957,0.992 +186900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.429256036,0.992 +186901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.594621401,0.992 +186902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.840637574,0.992 +186903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.140187885,0.992 +186904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.629125627,0.992 +186905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.517741258,0.992 +186908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.846991929,0.992 +186906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,8.018434262,0.992 +186907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.240111545,0.992 +186909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.161864827,0.992 +186912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.459071865,0.992 +186911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.871190387,0.992 +186913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.663795583,0.992 +186915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.494920117,0.992 +186914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.933158435,0.992 +186916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.380692559,0.992 +186910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.851335299,0.992 +186917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.587265199,0.992 +186918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.673302886,0.992 +186919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.466565377,0.992 +186920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.805030299,0.992 +186922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.056199528,0.992 +186921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.946465982,0.992 +186923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.969625943,0.992 +186924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.428607897,0.992 +186925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.75176596,0.992 +186926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.690625573,0.992 +186927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.09327709,0.992 +186929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.847480844,0.992 +186928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.343131524,0.992 +186930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,10.30125836,0.992 +186931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.672648994,0.992 +186932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.732275385,0.992 +186934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,8.376058132,0.992 +186935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.3170751,0.992 +186933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.668072319,0.992 +186937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.080998367,0.992 +186936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.286862531,0.992 +186939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.282260288,0.992 +186938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.917406184,0.992 +186940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.751883125,0.992 +186941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.310560448,0.992 +186942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.180637627,0.992 +186943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.116671996,0.992 +186944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.263254679,0.992 +186945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.206367864,0.992 +186946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.816924256,0.992 +186947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.142471442,0.992 +186948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.913030931,0.992 +186949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.57714384,0.992 +186951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.263568098,0.992 +186952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.38360758,0.992 +186953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,9.023408681,0.992 +186950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,0.415352444,0.992 +186954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,8.646618434,0.992 +186955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,9.054310759,0.992 +186956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.244518769,0.992 +186957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,8.342722206,0.992 +186958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,8.962934918,0.992 +186959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.753648333,0.992 +186960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.216295041,0.992 +186962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.55128126,0.992 +186961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.132021741,0.992 +186963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.19185382,0.992 +186964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.516355739,0.992 +186965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.34416086,0.992 +186967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.93493887,0.992 +186968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.734754155,0.992 +186966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.152203923,0.992 +186971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.46863117,0.992 +186972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.145597369,0.992 +186970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.964117445,0.992 +186969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.602055966,0.992 +186973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.751917298,0.992 +186974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.245409383,0.992 +186975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.042459319,0.992 +186976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.968955642,0.992 +186977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.382714281,0.992 +186979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.343305002,0.992 +186980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.064053701,0.992 +186978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.402693936,0.992 +186982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.281286463,0.992 +186983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.966006298,0.992 +186981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.02961151,0.992 +186984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.439711751,0.992 +186985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.024960659,0.992 +186986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.419386068,0.992 +186987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.92230642,0.992 +186988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.588327423,0.992 +186989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.405831385,0.992 +186990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,3.478209843,0.992 +186991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,1.141461615,0.992 +186993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,5.172610632,0.992 +186992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.192735093,0.992 +186994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.03765011,0.992 +186995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,7.444074125,0.992 +186996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,6.00047795,0.992 +186997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.769989846,0.992 +186998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.483405989,0.992 +186999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,4.703879307,0.992 +187000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,7,1,2.407455286,0.992 +196002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,6.638735715,0.978 +196001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,0.82830469,0.978 +196004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.438641397,0.978 +196003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,6.221759686,0.978 +196005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,3.323593053,0.978 +196006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,3.141818354,0.978 +196007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,6.064137425,0.978 +196008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.08461531,0.978 +196009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,8.194571795,0.978 +196010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,0.059126222,0.978 +196011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,7.499528473,0.978 +196013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,0.016728772,0.978 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+196286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.160161238,0.978 +196287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.442411838,0.978 +196288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,3.610638995,0.978 +196289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,5.670710557,0.978 +196292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,0.96222394,0.978 +196291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,3.173325915,0.978 +196290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.121094156,0.978 +196294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.454539853,0.978 +196293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,7.968201128,0.978 +196295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,8.322825157,0.978 +196296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.55660662,0.978 +196298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.677954173,0.978 +196297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.629659205,0.978 +196299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.379377962,0.978 +196300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,3.089262079,0.978 +196301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,3.73993971,0.978 +196302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,8.652538785,0.978 +196303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.659761834,0.978 +196304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,3.481970015,0.978 +196306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.04218318,0.978 +196305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,7.670442518,0.978 +196307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,12.76639846,0.978 +196308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,0.455485303,0.978 +196309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.412279041,0.978 +196310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.738012055,0.978 +196312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,6.206342703,0.978 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+196378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,0.328084465,0.978 +196377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,3.592058422,0.978 +196379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,3.827772562,0.978 +196380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,9.782703886,0.978 +196381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.429956108,0.978 +196382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.095503472,0.978 +196385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.653116297,0.978 +196386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.296847742,0.978 +196384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.373691035,0.978 +196388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,7.376551471,0.978 +196387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.268913647,0.978 +196383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.521112173,0.978 +196389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,11.01086152,0.978 +196390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,7.401486315,0.978 +196391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,5.369699846,0.978 +196392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,-1.630228408,0.978 +196393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.618922296,0.978 +196394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,6.445683088,0.978 +196395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,0.17275933,0.978 +196396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.514921285,0.978 +196397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,0.600302978,0.978 +196399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.961048583,0.978 +196398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,5.827750376,0.978 +196400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.653828394,0.978 +196401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.331084952,0.978 +196403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.902527893,0.978 +196402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.780120198,0.978 +196405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,0.84933803,0.978 +196404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,3.090978532,0.978 +196406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,6.074265892,0.978 +196407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.050358312,0.978 +196408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.556744914,0.978 +196410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.195301064,0.978 +196409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,3.178362041,0.978 +196411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.749291412,0.978 +196412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.37063265,0.978 +196413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.101000631,0.978 +196414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,3.422643098,0.978 +196415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,-1.672142664,0.978 +196418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,9.015060494,0.978 +196417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.804784329,0.978 +196416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.561344377,0.978 +196419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.929159325,0.978 +196420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.895673789,0.978 +196422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,3.887551122,0.978 +196421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.699677483,0.978 +196423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,0.287983876,0.978 +196424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.286826446,0.978 +196426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,9.509888852,0.978 +196425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.959995398,0.978 +196428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,0.946176321,0.978 +196427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,3.592584822,0.978 +196429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.497100845,0.978 +196430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,3.025959473,0.978 +196431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,0.546202507,0.978 +196434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.982793376,0.978 +196433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.24895505,0.978 +196432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,3.554023612,0.978 +196435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.187252131,0.978 +196436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.039707952,0.978 +196437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,3.390410056,0.978 +196438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,3.01457708,0.978 +196439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,7.230746012,0.978 +196440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.048438725,0.978 +196441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,6.534008539,0.978 +196442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,7.313966538,0.978 +196444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,8.598739258,0.978 +196443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,5.343207535,0.978 +196445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,5.387490343,0.978 +196446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,8.989217319,0.978 +196447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.837876514,0.978 +196448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,0.846867225,0.978 +196449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,11.73297512,0.978 +196452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,-0.49293062,0.978 +196451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,3.618127816,0.978 +196453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.851773033,0.978 +196450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,8.101553125,0.978 +196454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,0.388165454,0.978 +196455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.79325281,0.978 +196456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,5.816439216,0.978 +196458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,5.169035726,0.978 +196459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,7.412970992,0.978 +196460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.793855329,0.978 +196457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.120627996,0.978 +196463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,5.512331527,0.978 +196462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,3.878908123,0.978 +196461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,7.289426307,0.978 +196464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,5.810552072,0.978 +196467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,0.01614138,0.978 +196465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,8.548275065,0.978 +196466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.684171762,0.978 +196468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.37269009,0.978 +196469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.941600167,0.978 +196470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,8.738230741,0.978 +196471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.535670881,0.978 +196473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,8.503029733,0.978 +196474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,5.106208139,0.978 +196475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.617547325,0.978 +196472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,6.45492052,0.978 +196476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.912510997,0.978 +196477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,0.759116537,0.978 +196478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,0.869032159,0.978 +196479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,7.727130379,0.978 +196481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,5.599119663,0.978 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+196571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.364221234,0.978 +196573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,3.312577603,0.978 +196576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.452782321,0.978 +196574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,0.692882466,0.978 +196575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,6.967848587,0.978 +196577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.181100787,0.978 +196578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,7.017845482,0.978 +196579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.198673117,0.978 +196580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.156240366,0.978 +196581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,3.444888773,0.978 +196582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,7.028871311,0.978 +196583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.010390019,0.978 +196584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,0.958998547,0.978 +196586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.959436726,0.978 +196587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.546415173,0.978 +196585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,5.865423491,0.978 +196588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,7.189291598,0.978 +196589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.709621221,0.978 +196590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,0.451315692,0.978 +196592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,0.087221657,0.978 +196591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.948508282,0.978 +196593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,0.596979676,0.978 +196595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,6.135950092,0.978 +196594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.367374867,0.978 +196596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,8.170434036,0.978 +196597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.844425835,0.978 +196598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,6.45059026,0.978 +196600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,8.626560382,0.978 +196601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.29328909,0.978 +196599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.700276085,0.978 +196602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,7.216874864,0.978 +196604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.365556946,0.978 +196603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,6.592787973,0.978 +196605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,3.522934393,0.978 +196606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,7.133437707,0.978 +196607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.887682055,0.978 +196609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.789208147,0.978 +196610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.077529661,0.978 +196608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,7.374264717,0.978 +196611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,13.67757679,0.978 +196612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,5.453598478,0.978 +196613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,3.170997199,0.978 +196615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.712859057,0.978 +196614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.629472931,0.978 +196617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,11.6246793,0.978 +196619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.556287265,0.978 +196618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,6.456720261,0.978 +196616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,7.019174628,0.978 +196620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,5.260739604,0.978 +196622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,5.059382193,0.978 +196623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.032971259,0.978 +196625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,10.04370773,0.978 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+196872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.935712401,0.978 +196873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.160022819,0.978 +196870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.723123273,0.978 +196875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,7.176008739,0.978 +196874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.506029664,0.978 +196876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,5.912558993,0.978 +196877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,3.107733196,0.978 +196878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.456238864,0.978 +196881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.024917442,0.978 +196879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.72587097,0.978 +196880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,3.345047783,0.978 +196882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,3.854410619,0.978 +196884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.881957346,0.978 +196885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,0.806583133,0.978 +196886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,-0.002162878,0.978 +196883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,8.393562559,0.978 +196887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,10.03843647,0.978 +196888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,6.82834843,0.978 +196889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,10.10185126,0.978 +196891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.382376207,0.978 +196890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.797076461,0.978 +196892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.543200344,0.978 +196893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.126339956,0.978 +196895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,10.94703181,0.978 +196894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,7.330966959,0.978 +196897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.548412412,0.978 +196896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,5.674492379,0.978 +196898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.320329228,0.978 +196899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.395891219,0.978 +196900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.680150585,0.978 +196901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,3.221647366,0.978 +196903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,5.197384272,0.978 +196904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.19925011,0.978 +196905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.865912214,0.978 +196902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,-0.728490286,0.978 +196906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,6.50180769,0.978 +196908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,9.97390632,0.978 +196909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.884145794,0.978 +196907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,3.418768652,0.978 +196910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,5.588736363,0.978 +196911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,0.668644607,0.978 +196912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.956917935,0.978 +196913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,6.863432288,0.978 +196914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.675183167,0.978 +196916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.819388205,0.978 +196917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,3.292095159,0.978 +196915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.166026655,0.978 +196918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,9.569185313,0.978 +196920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.85236497,0.978 +196921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.706986483,0.978 +196919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,16.43317674,0.978 +196923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,5.601141647,0.978 +196924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.988946643,0.978 +196922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,3.545515143,0.978 +196925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.936663688,0.978 +196927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.937080283,0.978 +196926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.905051533,0.978 +196928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,9.861207847,0.978 +196929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,3.938106656,0.978 +196931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.976403378,0.978 +196933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,7.249569107,0.978 +196932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.986331117,0.978 +196934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,6.904592652,0.978 +196930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.671825835,0.978 +196936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,3.073268037,0.978 +196938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.580416875,0.978 +196935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.219290895,0.978 +196937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.882051657,0.978 +196939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.660737177,0.978 +196940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,0.575948339,0.978 +196941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.022777472,0.978 +196942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,7.622435977,0.978 +196943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.004750698,0.978 +196946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,6.124505267,0.978 +196944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,6.881270003,0.978 +196945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.997158959,0.978 +196948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,6.455232687,0.978 +196947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,3.047429477,0.978 +196950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.163186225,0.978 +196951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.396872457,0.978 +196952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,0.870981213,0.978 +196949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.964405566,0.978 +196953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,6.105981484,0.978 +196956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.320506325,0.978 +196954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.516569302,0.978 +196955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,5.152176114,0.978 +196957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,8.607808856,0.978 +196958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.5296336,0.978 +196959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,6.156459803,0.978 +196961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,4.826042363,0.978 +196960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.634793038,0.978 +196962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,8.318889526,0.978 +196963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.610195796,0.978 +196965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.525148612,0.978 +196964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,0.925060964,0.978 +196967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.31833067,0.978 +196966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,7.522559462,0.978 +196969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,0.741893692,0.978 +196968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,6.31512315,0.978 +196971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,7.187484553,0.978 +196970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.137224831,0.978 +196973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,7.430740929,0.978 +196972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.515216461,0.978 +196974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,-0.590319509,0.978 +196975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.357661847,0.978 +196977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,0.016063813,0.978 +196976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,0.717875926,0.978 +196978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,7.50314091,0.978 +196979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,6.074721559,0.978 +196980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,14.39620656,0.978 +196981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,13.29732059,0.978 +196982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.126716598,0.978 +196983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,8.822864543,0.978 +196984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,7.703623905,0.978 +196985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,5.457912549,0.978 +196986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.413686178,0.978 +196987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,3.066845358,0.978 +196988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.684727947,0.978 +196990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,8.396704739,0.978 +196991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,5.535022626,0.978 +196992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,5.010619017,0.978 +196993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,-0.496099768,0.978 +196994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,6.499175174,0.978 +196995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,2.604298365,0.978 +196989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,3.757390221,0.978 +196996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.392976563,0.978 +196997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.878072157,0.978 +196998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,1.283451607,0.978 +196999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,6.422591301,0.978 +197000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,7,1,8.15984733,0.978 +206002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.957397331,0.931 +206001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.020216215,0.931 +206003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.633473587,0.931 +206004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.788103376,0.931 +206006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.021253566,0.931 +206007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.17584648,0.931 +206008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.961649195,0.931 +206009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.790441464,0.931 +206010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.68836368,0.931 +206005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.135930753,0.931 +206011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.318314122,0.931 +206012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.089409761,0.931 +206014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.577028598,0.931 +206015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.555605122,0.931 +206017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.543271999,0.931 +206013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.317127492,0.931 +206016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.577090534,0.931 +206018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.6212154,0.931 +206020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.11537841,0.931 +206019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.209758661,0.931 +206021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.326008478,0.931 +206022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.963445979,0.931 +206023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.523175409,0.931 +206025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.896422895,0.931 +206026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.348174494,0.931 +206027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.890297932,0.931 +206028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.830232111,0.931 +206029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.705202498,0.931 +206024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.430540345,0.931 +206033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.948286266,0.931 +206030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.572242826,0.931 +206031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.900635328,0.931 +206032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.648499902,0.931 +206035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.996131844,0.931 +206034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.553897703,0.931 +206037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.930561855,0.931 +206036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.731606667,0.931 +206038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.039445832,0.931 +206040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.040451963,0.931 +206039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.885861592,0.931 +206041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.540628928,0.931 +206042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.651127585,0.931 +206044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.901466127,0.931 +206045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.540828564,0.931 +206046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.772049188,0.931 +206048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.877725096,0.931 +206043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.708845573,0.931 +206047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.39270335,0.931 +206049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.282487463,0.931 +206051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.551665872,0.931 +206050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.894328219,0.931 +206052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.003323618,0.931 +206054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.150188825,0.931 +206056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.291191034,0.931 +206053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.545649648,0.931 +206055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.56519486,0.931 +206058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.280446979,0.931 +206059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.778870647,0.931 +206057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.379817885,0.931 +206060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.845964795,0.931 +206063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.462669216,0.931 +206061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.233282455,0.931 +206062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.704464899,0.931 +206064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.479886267,0.931 +206065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.05600306,0.931 +206066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-2.293512359,0.931 +206067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.646417122,0.931 +206068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.138591643,0.931 +206069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.076826734,0.931 +206070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.166392642,0.931 +206071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.976276156,0.931 +206072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.727753907,0.931 +206073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.292987923,0.931 +206074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.613577541,0.931 +206075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.776549495,0.931 +206077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.329093573,0.931 +206076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.349021268,0.931 +206078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.151339039,0.931 +206079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.037997581,0.931 +206080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.889830105,0.931 +206081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.765853031,0.931 +206082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,9.461948146,0.931 +206083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-1.484938495,0.931 +206084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.414271652,0.931 +206085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.215594979,0.931 +206086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,9.631746962,0.931 +206087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.967353009,0.931 +206088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.957840996,0.931 +206090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.662669077,0.931 +206091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.312037858,0.931 +206089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.669855842,0.931 +206092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.949199936,0.931 +206093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.832633891,0.931 +206095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.951612771,0.931 +206094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.510453905,0.931 +206096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.986431262,0.931 +206097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.188715201,0.931 +206098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.965737035,0.931 +206099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.90019448,0.931 +206100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,9.789647057,0.931 +206101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.832509339,0.931 +206102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.944432233,0.931 +206103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,9.99704687,0.931 +206104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.823106692,0.931 +206105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.162325098,0.931 +206107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.94132908,0.931 +206106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.273117787,0.931 +206108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.865728193,0.931 +206109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,9.900605706,0.931 +206110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.999619719,0.931 +206112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.218800934,0.931 +206113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.334276668,0.931 +206111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.338969598,0.931 +206114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.810665942,0.931 +206115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.198963046,0.931 +206116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.376482331,0.931 +206119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.220974435,0.931 +206117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.920919998,0.931 +206120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,11.2750432,0.931 +206118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.832108121,0.931 +206122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.767414692,0.931 +206124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.948422468,0.931 +206121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.735517998,0.931 +206123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.008950135,0.931 +206125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.192187999,0.931 +206127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,9.645308771,0.931 +206128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-1.159088597,0.931 +206126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.956584869,0.931 +206129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.855753781,0.931 +206130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.051208898,0.931 +206131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.247043779,0.931 +206135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.000095823,0.931 +206134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.797070183,0.931 +206133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.35893358,0.931 +206132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,9.33503471,0.931 +206137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.023758057,0.931 +206138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.029794119,0.931 +206136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.697524203,0.931 +206139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.62307679,0.931 +206140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.571110622,0.931 +206142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.175733548,0.931 +206143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.536514744,0.931 +206144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.786520723,0.931 +206145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.752762909,0.931 +206141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.425428822,0.931 +206147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.905202528,0.931 +206148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.653996436,0.931 +206146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.442874345,0.931 +206150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.267417571,0.931 +206149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.593120464,0.931 +206152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,9.216025418,0.931 +206154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.951496968,0.931 +206151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.218787948,0.931 +206153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.438100185,0.931 +206155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.93542953,0.931 +206156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.204612955,0.931 +206158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,12.32823953,0.931 +206157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.890018024,0.931 +206159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.812386676,0.931 +206161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.832552054,0.931 +206162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.176231809,0.931 +206164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,12.92005392,0.931 +206165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,11.90225179,0.931 +206163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,9.225189029,0.931 +206160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.462972599,0.931 +206167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.184465172,0.931 +206169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.728008915,0.931 +206168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.20132978,0.931 +206166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.113132933,0.931 +206171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.290812929,0.931 +206172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.860906301,0.931 +206170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.717607704,0.931 +206173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.256078918,0.931 +206174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.404351216,0.931 +206175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.533958427,0.931 +206176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.984763189,0.931 +206177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.610355159,0.931 +206179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.943404208,0.931 +206180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.405627851,0.931 +206181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.489768467,0.931 +206178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.958633116,0.931 +206183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.959987807,0.931 +206182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.396418897,0.931 +206185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.267163972,0.931 +206184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.393319102,0.931 +206186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.293154623,0.931 +206187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.64859848,0.931 +206188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.235990418,0.931 +206189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.048431883,0.931 +206190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.143107416,0.931 +206191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-2.034738901,0.931 +206193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.349775717,0.931 +206194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-1.214111123,0.931 +206195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,9.888294305,0.931 +206196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.239308931,0.931 +206192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.77116038,0.931 +206197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.003655422,0.931 +206198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.289089687,0.931 +206199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.482484438,0.931 +206200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.440007986,0.931 +206201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.637085266,0.931 +206203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.018715053,0.931 +206202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.167336645,0.931 +206204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.216066777,0.931 +206205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.768456437,0.931 +206206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.93220923,0.931 +206207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.496811112,0.931 +206208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.642184262,0.931 +206209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.927500262,0.931 +206210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,11.11901278,0.931 +206211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.276417681,0.931 +206213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,11.30574318,0.931 +206214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.419005509,0.931 +206216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.234333252,0.931 +206212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.6930691,0.931 +206215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.950880807,0.931 +206217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.779694503,0.931 +206218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.4897721,0.931 +206219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.751787611,0.931 +206220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.250061555,0.931 +206221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.687315393,0.931 +206222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.902458579,0.931 +206223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.04267488,0.931 +206224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.313564401,0.931 +206225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.885598665,0.931 +206226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.494712968,0.931 +206227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.004541917,0.931 +206228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.855717325,0.931 +206229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.023688621,0.931 +206230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.614736299,0.931 +206231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.094251281,0.931 +206233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.402353387,0.931 +206232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.708112846,0.931 +206234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.59357221,0.931 +206235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,9.939246326,0.931 +206237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.288897002,0.931 +206236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.91916894,0.931 +206238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.268242901,0.931 +206240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.601686543,0.931 +206241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.280648326,0.931 +206242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.48266083,0.931 +206239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.342136896,0.931 +206243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.047924987,0.931 +206244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.389582636,0.931 +206245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.363619238,0.931 +206246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-1.453836077,0.931 +206247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.608386288,0.931 +206249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,12.95722681,0.931 +206250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.764048088,0.931 +206251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.666446806,0.931 +206248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.017872624,0.931 +206252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.633523411,0.931 +206253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.672567976,0.931 +206254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,11.98270449,0.931 +206256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-2.515684957,0.931 +206255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.53324764,0.931 +206258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.747928303,0.931 +206257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,14.46309179,0.931 +206260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.26594248,0.931 +206259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.279006642,0.931 +206261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.177073694,0.931 +206262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.534585849,0.931 +206263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.643744687,0.931 +206264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.394567783,0.931 +206265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.105088013,0.931 +206266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.775121725,0.931 +206268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.39660161,0.931 +206269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.456747393,0.931 +206270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.131206178,0.931 +206271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.013802684,0.931 +206272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.588639662,0.931 +206267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.75167386,0.931 +206273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,9.263618534,0.931 +206276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-1.181511927,0.931 +206274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.154843271,0.931 +206275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.622847744,0.931 +206277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.115468477,0.931 +206278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.038452882,0.931 +206279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.419769673,0.931 +206280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.825853448,0.931 +206282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.672190122,0.931 +206281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.282379761,0.931 +206283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.849518011,0.931 +206284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.57273336,0.931 +206285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.963909695,0.931 +206287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,10.02796879,0.931 +206288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.618840257,0.931 +206286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.517690284,0.931 +206291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,10.13566639,0.931 +206289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.956728099,0.931 +206290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.287919387,0.931 +206292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-1.187769891,0.931 +206293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.801732599,0.931 +206294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.816782105,0.931 +206295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.38318144,0.931 +206296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,9.205028457,0.931 +206299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.685662906,0.931 +206297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.057100483,0.931 +206298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.405717677,0.931 +206300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.680299058,0.931 +206301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.053030155,0.931 +206302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.376049207,0.931 +206303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.792229246,0.931 +206304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.012808783,0.931 +206305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.787416323,0.931 +206306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.147326157,0.931 +206307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.408542725,0.931 +206308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.769277703,0.931 +206309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.871363572,0.931 +206310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.533861058,0.931 +206311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.05315827,0.931 +206312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.415779885,0.931 +206313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.354392723,0.931 +206315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.450244314,0.931 +206314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.680328361,0.931 +206316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.714143479,0.931 +206317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.771583969,0.931 +206319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.682496446,0.931 +206318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.675021649,0.931 +206321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.069413541,0.931 +206322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.401803356,0.931 +206320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,10.94350832,0.931 +206323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.96374681,0.931 +206324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.926631449,0.931 +206325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.839385086,0.931 +206327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.309799134,0.931 +206328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.013148553,0.931 +206329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.330786776,0.931 +206330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.613963816,0.931 +206326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.233558202,0.931 +206331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.031009974,0.931 +206332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.978814075,0.931 +206333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.688728061,0.931 +206334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.448718648,0.931 +206336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.850737933,0.931 +206337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.532535184,0.931 +206335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.068704796,0.931 +206338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.262683047,0.931 +206339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.058951072,0.931 +206340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,9.245671893,0.931 +206341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.749576506,0.931 +206343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,10.55102351,0.931 +206344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.49167679,0.931 +206345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.774552968,0.931 +206346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.80519064,0.931 +206347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.916876102,0.931 +206348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.68654736,0.931 +206342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.586323098,0.931 +206349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.569673764,0.931 +206350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.375546279,0.931 +206352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.939151797,0.931 +206351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.345968804,0.931 +206354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.684585146,0.931 +206353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.81187682,0.931 +206355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-1.007884067,0.931 +206356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.118213506,0.931 +206357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,11.19635087,0.931 +206358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.904758271,0.931 +206359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.38373128,0.931 +206360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.147925829,0.931 +206361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.648914211,0.931 +206362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.570933684,0.931 +206364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.191961339,0.931 +206367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.801796478,0.931 +206366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.722238988,0.931 +206365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.388328089,0.931 +206363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.285914951,0.931 +206369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.241472276,0.931 +206370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.732142822,0.931 +206368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.516386991,0.931 +206372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.364924869,0.931 +206373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.170069481,0.931 +206371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.817712099,0.931 +206374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.201741667,0.931 +206375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.407745831,0.931 +206376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.440426599,0.931 +206378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.332513919,0.931 +206377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.782275326,0.931 +206381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.795676295,0.931 +206379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.412640982,0.931 +206380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.581351078,0.931 +206383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,11.31707246,0.931 +206382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.286678402,0.931 +206385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.124734758,0.931 +206384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.367602546,0.931 +206388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.799701277,0.931 +206386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,9.041675062,0.931 +206387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.46282026,0.931 +206389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.138451453,0.931 +206390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.553765223,0.931 +206391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.55315306,0.931 +206393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.495472435,0.931 +206392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.142634282,0.931 +206394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.226597119,0.931 +206395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.490093694,0.931 +206396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.696182245,0.931 +206397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.737732469,0.931 +206398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.662041344,0.931 +206400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.026643766,0.931 +206399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.409072708,0.931 +206402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.148025993,0.931 +206403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.664191317,0.931 +206404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.884678355,0.931 +206405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.481222417,0.931 +206406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.031980268,0.931 +206401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.136101857,0.931 +206407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.028543641,0.931 +206408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.37469946,0.931 +206409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.968762528,0.931 +206411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.194451151,0.931 +206410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.411447433,0.931 +206412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.646723827,0.931 +206413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.102568731,0.931 +206415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.523011069,0.931 +206414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.097031424,0.931 +206416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.496591687,0.931 +206417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,11.19688241,0.931 +206418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.332090872,0.931 +206419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.665808708,0.931 +206420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.386274029,0.931 +206421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.437198996,0.931 +206424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.115361932,0.931 +206423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.287812518,0.931 +206425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.416502393,0.931 +206427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.336375291,0.931 +206422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.204557433,0.931 +206426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.59790819,0.931 +206428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.73733462,0.931 +206430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,9.310208375,0.931 +206429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.013135093,0.931 +206431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.030911129,0.931 +206432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.326390793,0.931 +206433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,12.56307141,0.931 +206434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.31018497,0.931 +206435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.499806228,0.931 +206436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.581572701,0.931 +206438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.79923567,0.931 +206439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.673269073,0.931 +206440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,10.43163579,0.931 +206441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.4238001,0.931 +206437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.921387082,0.931 +206442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,9.282457426,0.931 +206443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.138305966,0.931 +206444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.866734892,0.931 +206445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,9.613204449,0.931 +206446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.777691768,0.931 +206447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.777922025,0.931 +206448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.785247494,0.931 +206449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,9.819819268,0.931 +206450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.132154474,0.931 +206451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,13.82693319,0.931 +206452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.534680658,0.931 +206453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.546038354,0.931 +206454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.724017388,0.931 +206455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.664005812,0.931 +206456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.430079518,0.931 +206458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.740941612,0.931 +206459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.070716737,0.931 +206460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.149173164,0.931 +206457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.977568129,0.931 +206461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.162461592,0.931 +206463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.744611216,0.931 +206462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.051326949,0.931 +206464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.624392738,0.931 +206465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.057189339,0.931 +206467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.554564046,0.931 +206466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.863161605,0.931 +206468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.212075258,0.931 +206469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.048418594,0.931 +206470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.564557193,0.931 +206471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.020275957,0.931 +206473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.70600066,0.931 +206472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.832664932,0.931 +206474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.792627049,0.931 +206475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.107471814,0.931 +206476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.484589642,0.931 +206477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.885994997,0.931 +206478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.315063447,0.931 +206479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.080281474,0.931 +206480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.609842571,0.931 +206481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.362833559,0.931 +206482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.527458632,0.931 +206483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.696643973,0.931 +206484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.082139231,0.931 +206486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,12.70522883,0.931 +206485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.699094603,0.931 +206487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.872336191,0.931 +206488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.33315138,0.931 +206489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.832912165,0.931 +206491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.319670717,0.931 +206492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.164345374,0.931 +206493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,13.45642469,0.931 +206490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.37170376,0.931 +206494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.252420596,0.931 +206495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.48059255,0.931 +206496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.889970768,0.931 +206497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.732252224,0.931 +206498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.420767178,0.931 +206499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,10.97128511,0.931 +206500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.235003473,0.931 +206501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.469368517,0.931 +206503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.23523208,0.931 +206502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.045707025,0.931 +206504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.426961439,0.931 +206505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.147099685,0.931 +206506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-1.511265718,0.931 +206508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.295478043,0.931 +206510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.40991052,0.931 +206507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.137202439,0.931 +206511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.576271705,0.931 +206512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.6145634,0.931 +206513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.002657616,0.931 +206509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-1.1660059,0.931 +206514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.941417728,0.931 +206515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.582560184,0.931 +206516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.48390008,0.931 +206518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,9.204757968,0.931 +206517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.524563321,0.931 +206520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.02042066,0.931 +206519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.961174056,0.931 +206522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.935519168,0.931 +206521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,11.89755621,0.931 +206524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.173594676,0.931 +206525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.475084853,0.931 +206526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.814737682,0.931 +206523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.637953735,0.931 +206527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,11.37148302,0.931 +206529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.43625915,0.931 +206531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.254542463,0.931 +206530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.869129169,0.931 +206528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.799592414,0.931 +206532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.480768307,0.931 +206534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.681558877,0.931 +206535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.34867153,0.931 +206537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.410037085,0.931 +206533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.469289188,0.931 +206536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.68453648,0.931 +206538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.386543475,0.931 +206539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.63259202,0.931 +206540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.039871796,0.931 +206541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.797091778,0.931 +206542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.194730393,0.931 +206544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.743339668,0.931 +206545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.172973174,0.931 +206547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.792718744,0.931 +206543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.346131766,0.931 +206548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.010789172,0.931 +206549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.908825355,0.931 +206546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.444607123,0.931 +206550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.435951703,0.931 +206551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.800832392,0.931 +206554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.155896593,0.931 +206552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.416399361,0.931 +206553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.045355085,0.931 +206555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.994854866,0.931 +206556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,13.92122166,0.931 +206557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.67692409,0.931 +206558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.823891203,0.931 +206560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.854873111,0.931 +206561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.767214236,0.931 +206562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.034573446,0.931 +206563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.513906158,0.931 +206564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.688303331,0.931 +206559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.767235683,0.931 +206568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.777794519,0.931 +206567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.460056156,0.931 +206566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.434538903,0.931 +206565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.00347232,0.931 +206569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.45845917,0.931 +206570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.476269282,0.931 +206571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.147151655,0.931 +206572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.479094524,0.931 +206573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.097814003,0.931 +206574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.210451279,0.931 +206575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.186417057,0.931 +206576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.118296279,0.931 +206578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-2.247286538,0.931 +206579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.632150612,0.931 +206580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.497361932,0.931 +206577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.136464602,0.931 +206581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.779390256,0.931 +206582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.867476977,0.931 +206584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.444522736,0.931 +206583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.090934564,0.931 +206586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.35267965,0.931 +206585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,10.29163177,0.931 +206587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.763138608,0.931 +206588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.10938153,0.931 +206589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.865591234,0.931 +206590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.33802038,0.931 +206591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.805857319,0.931 +206593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.963722788,0.931 +206594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.472231233,0.931 +206592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-1.08956948,0.931 +206596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.632566966,0.931 +206595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,10.83889254,0.931 +206597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.851948959,0.931 +206599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.403071033,0.931 +206600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.345386653,0.931 +206601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.069383073,0.931 +206598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.9507953,0.931 +206602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.280515866,0.931 +206603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.026170885,0.931 +206604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.127335241,0.931 +206606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.712440611,0.931 +206607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.710619505,0.931 +206605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.695158884,0.931 +206608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.012767983,0.931 +206609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.608083735,0.931 +206610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.371757592,0.931 +206611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.749194947,0.931 +206612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.767526573,0.931 +206613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.171532545,0.931 +206614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.475926325,0.931 +206615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.952639346,0.931 +206617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.516840444,0.931 +206616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.69654809,0.931 +206618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.413051954,0.931 +206619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.453448004,0.931 +206620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.802697762,0.931 +206622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.823223686,0.931 +206623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.218241569,0.931 +206621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.764738383,0.931 +206625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.656781838,0.931 +206624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.153400789,0.931 +206627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.23880982,0.931 +206626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.454138128,0.931 +206628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.201049231,0.931 +206629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.661059227,0.931 +206630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,9.536671262,0.931 +206631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.088772377,0.931 +206632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.104389886,0.931 +206633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.599296677,0.931 +206634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-1.698554255,0.931 +206636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.719572306,0.931 +206635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.668382726,0.931 +206637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.007841758,0.931 +206640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.719247126,0.931 +206641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,10.70562892,0.931 +206639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.915744643,0.931 +206638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,14.43655909,0.931 +206644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.877984198,0.931 +206642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.509183844,0.931 +206643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.11210097,0.931 +206645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.785540141,0.931 +206646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,9.39647191,0.931 +206647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.900809256,0.931 +206648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.813091677,0.931 +206650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.667043029,0.931 +206649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.599485659,0.931 +206651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.243722099,0.931 +206652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.448415214,0.931 +206654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.815981367,0.931 +206655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.123616455,0.931 +206656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.765013559,0.931 +206653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.846301754,0.931 +206658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.617182239,0.931 +206659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.95387799,0.931 +206660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.908989714,0.931 +206657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.874223864,0.931 +206661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,9.222317254,0.931 +206662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.686278621,0.931 +206663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.112632471,0.931 +206664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.306136772,0.931 +206665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.304510836,0.931 +206667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.262129532,0.931 +206666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.142435861,0.931 +206668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.557659412,0.931 +206669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.930060363,0.931 +206670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,9.190767896,0.931 +206671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.98853401,0.931 +206673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.054708785,0.931 +206672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.700336807,0.931 +206674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.890687605,0.931 +206675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.335714526,0.931 +206676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.873618754,0.931 +206677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.460439029,0.931 +206678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.874434226,0.931 +206679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.42322197,0.931 +206680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.615374907,0.931 +206682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.136504368,0.931 +206681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.717100529,0.931 +206683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.014995926,0.931 +206684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.165802545,0.931 +206685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.460879213,0.931 +206687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.800202328,0.931 +206686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.187599167,0.931 +206688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.142621584,0.931 +206690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.156671015,0.931 +206692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.156336111,0.931 +206691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.974064712,0.931 +206689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.388691417,0.931 +206693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,10.87858612,0.931 +206694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.327600813,0.931 +206695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.523255145,0.931 +206696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.171221517,0.931 +206698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,11.04109701,0.931 +206697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.250917553,0.931 +206700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.973247006,0.931 +206699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.384442298,0.931 +206702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.533185238,0.931 +206701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.81915295,0.931 +206703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.466218803,0.931 +206704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.321656105,0.931 +206705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.494485268,0.931 +206706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.795976763,0.931 +206707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.291375107,0.931 +206708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.830611026,0.931 +206710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.671391313,0.931 +206709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.593528506,0.931 +206711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.400354635,0.931 +206714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.745466904,0.931 +206713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-1.512037899,0.931 +206712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.125600415,0.931 +206715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.204933733,0.931 +206716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.267670829,0.931 +206717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.654953506,0.931 +206719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.7768422,0.931 +206718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.935755792,0.931 +206720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.320167955,0.931 +206721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.612609826,0.931 +206722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.834483288,0.931 +206723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.415200396,0.931 +206724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.550290691,0.931 +206725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.20524892,0.931 +206726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.251153796,0.931 +206728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.962052323,0.931 +206729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.475579266,0.931 +206730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.217781105,0.931 +206727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,9.903557221,0.931 +206731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.026052612,0.931 +206732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.003554242,0.931 +206733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.131498311,0.931 +206734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.190057519,0.931 +206735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.646859654,0.931 +206736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.054740016,0.931 +206738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.136113946,0.931 +206737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.159169356,0.931 +206739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.536869524,0.931 +206740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.374336878,0.931 +206742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.893330387,0.931 +206743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.301519499,0.931 +206744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.427215815,0.931 +206745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,12.99660283,0.931 +206746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.900779544,0.931 +206741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,12.53546687,0.931 +206748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.97397692,0.931 +206747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.296050393,0.931 +206750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.354301086,0.931 +206749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.926759242,0.931 +206751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.248368708,0.931 +206752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.554950219,0.931 +206753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.823127849,0.931 +206754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.659859267,0.931 +206756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.721385983,0.931 +206755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.93218129,0.931 +206757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.676685029,0.931 +206758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.541503665,0.931 +206760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.291726287,0.931 +206759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.714201193,0.931 +206762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.046803489,0.931 +206763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.021241708,0.931 +206764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.934241542,0.931 +206761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.646535146,0.931 +206765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.802166206,0.931 +206766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.334308586,0.931 +206768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.800319575,0.931 +206767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.3710759,0.931 +206769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.018472016,0.931 +206770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.391275279,0.931 +206772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.528370345,0.931 +206771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.041726039,0.931 +206773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.928767167,0.931 +206774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.332781492,0.931 +206775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-1.085559832,0.931 +206776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.584644521,0.931 +206777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.939686787,0.931 +206779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.089905232,0.931 +206778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.204928435,0.931 +206780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.703694108,0.931 +206781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.192360098,0.931 +206782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.528618703,0.931 +206783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.513646541,0.931 +206784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.820052828,0.931 +206785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.084353681,0.931 +206786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.338300403,0.931 +206787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.402554958,0.931 +206789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.739816348,0.931 +206788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,9.589005638,0.931 +206790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.028674496,0.931 +206791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.026544806,0.931 +206793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,9.573172876,0.931 +206792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.396228869,0.931 +206794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.146733492,0.931 +206797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.619116671,0.931 +206796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.177611903,0.931 +206795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.726860485,0.931 +206798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,14.81220046,0.931 +206799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.494637598,0.931 +206800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.162373995,0.931 +206801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-1.803972526,0.931 +206803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.893231023,0.931 +206802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.333225062,0.931 +206804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.682261309,0.931 +206805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.522874476,0.931 +206806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.90511604,0.931 +206807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.731768122,0.931 +206808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.438505763,0.931 +206809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.283818189,0.931 +206810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.479521702,0.931 +206811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,9.785478884,0.931 +206812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.621384936,0.931 +206815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.128668397,0.931 +206813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,11.50683894,0.931 +206814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.914910536,0.931 +206816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.551942374,0.931 +206817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.729720104,0.931 +206820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.00984505,0.931 +206818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.300568552,0.931 +206819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.884980232,0.931 +206821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.72667072,0.931 +206822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.832278073,0.931 +206823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,13.04300601,0.931 +206824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,13.97338676,0.931 +206825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.997188824,0.931 +206826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.062591659,0.931 +206827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.557378476,0.931 +206828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.077706228,0.931 +206829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.92607508,0.931 +206830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.407002271,0.931 +206831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.470931424,0.931 +206833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,12.72336321,0.931 +206835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.4440345,0.931 +206834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.931167843,0.931 +206836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.391176566,0.931 +206832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.428290345,0.931 +206837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.528978012,0.931 +206838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.948293156,0.931 +206839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,10.69210906,0.931 +206842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.839354819,0.931 +206841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.052779272,0.931 +206843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.430471935,0.931 +206840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.275965841,0.931 +206844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-1.012196487,0.931 +206846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.625730719,0.931 +206845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.501218219,0.931 +206847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.355880067,0.931 +206848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.287438476,0.931 +206849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.252018937,0.931 +206851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.258449853,0.931 +206852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.093700229,0.931 +206853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.671725953,0.931 +206854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.155527809,0.931 +206855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.212972931,0.931 +206857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.538729687,0.931 +206850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.630189742,0.931 +206856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.868830401,0.931 +206860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,11.17738211,0.931 +206859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.57133244,0.931 +206858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,9.123076716,0.931 +206861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.794206596,0.931 +206862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.564232477,0.931 +206863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.759727255,0.931 +206864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.221061317,0.931 +206865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.289584979,0.931 +206866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.811637444,0.931 +206867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-1.210720156,0.931 +206868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.303462553,0.931 +206869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.979968644,0.931 +206871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.527763646,0.931 +206872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.517612753,0.931 +206873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.816317456,0.931 +206870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.293698012,0.931 +206874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-1.105996939,0.931 +206875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.728456071,0.931 +206876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,9.824305215,0.931 +206878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.846730984,0.931 +206879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.988234974,0.931 +206877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.974065951,0.931 +206880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.931079197,0.931 +206881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.123889841,0.931 +206882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.800545901,0.931 +206884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.043976482,0.931 +206883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.513096866,0.931 +206885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.272284588,0.931 +206886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.817424586,0.931 +206887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.377390225,0.931 +206888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.290255505,0.931 +206889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.81957379,0.931 +206890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.506813482,0.931 +206891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.064369062,0.931 +206892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.523059759,0.931 +206893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.429876261,0.931 +206894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.991722555,0.931 +206895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.593369339,0.931 +206896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.174044127,0.931 +206897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.322253323,0.931 +206898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.212370041,0.931 +206899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.25804394,0.931 +206900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.249350781,0.931 +206902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.473747371,0.931 +206901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.199546647,0.931 +206903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,12.07077631,0.931 +206906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.276646837,0.931 +206904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.094726324,0.931 +206905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.712156336,0.931 +206907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.710632399,0.931 +206910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.534636655,0.931 +206909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.229946452,0.931 +206911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,14.29305526,0.931 +206908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.130312768,0.931 +206913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,9.260650734,0.931 +206912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.274608071,0.931 +206914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.107030501,0.931 +206915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.035850256,0.931 +206916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.742247398,0.931 +206917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,11.95412383,0.931 +206918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.953744372,0.931 +206919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.54023557,0.931 +206923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-1.990612152,0.931 +206921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.985484824,0.931 +206922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.809114237,0.931 +206920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.751302927,0.931 +206925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,11.90163646,0.931 +206926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.385063957,0.931 +206927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.480957764,0.931 +206928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.203793778,0.931 +206929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.607328698,0.931 +206930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.51906879,0.931 +206924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.441777779,0.931 +206931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.289306721,0.931 +206932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.8645508,0.931 +206934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.542892679,0.931 +206933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.067007974,0.931 +206937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.812326384,0.931 +206936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.879592921,0.931 +206935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.606837419,0.931 +206939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.40618169,0.931 +206940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.335693443,0.931 +206941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.681001228,0.931 +206943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.444431525,0.931 +206942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.472731144,0.931 +206938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.304633977,0.931 +206944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.486989306,0.931 +206945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.868713797,0.931 +206948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.931626345,0.931 +206947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.905050965,0.931 +206946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.814947754,0.931 +206951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.039181886,0.931 +206949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.447900644,0.931 +206952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.140396226,0.931 +206950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.363307396,0.931 +206953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.675699808,0.931 +206954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.065654267,0.931 +206955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.668316611,0.931 +206956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,11.67714194,0.931 +206958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.09378876,0.931 +206959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.738617361,0.931 +206960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.043277618,0.931 +206961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.476995026,0.931 +206962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.190445696,0.931 +206963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.147215798,0.931 +206957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.638101039,0.931 +206966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.060707782,0.931 +206965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.239169614,0.931 +206967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.177239434,0.931 +206964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.799581318,0.931 +206968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.975264544,0.931 +206970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.697690695,0.931 +206969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,-0.022709798,0.931 +206972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.893714125,0.931 +206973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.695508661,0.931 +206971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.732732261,0.931 +206975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.786740802,0.931 +206976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,9.272346292,0.931 +206977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.440252852,0.931 +206978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.983593583,0.931 +206974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.981156767,0.931 +206980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.097956055,0.931 +206981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.029831788,0.931 +206982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.773179786,0.931 +206979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.383692308,0.931 +206983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.037136673,0.931 +206986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,7.246783954,0.931 +206984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.801629384,0.931 +206985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.435121474,0.931 +206988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.549063442,0.931 +206989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,8.689748186,0.931 +206990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.028435127,0.931 +206987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,5.361070631,0.931 +206991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.202082691,0.931 +206992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.695498871,0.931 +206994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,6.61192046,0.931 +206993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,4.792909864,0.931 +206997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,3.0625627,0.931 +206995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,2.531515688,0.931 +206996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,1.760139718,0.931 +206999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,9.031776596,0.931 +206998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,12.02644745,0.931 +207000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,7,1,0.717097332,0.931 +7001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.149510615,0.915 +7003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.49327942,0.915 +7002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.629451561,0.915 +7004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.534864835,0.915 +7005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.632440479,0.915 +7006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.106193849,0.915 +7007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-2.507718803,0.915 +7008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.056990615,0.915 +7010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.916443347,0.915 +7009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.420828436,0.915 +7012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,14.07336931,0.915 +7011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.747471584,0.915 +7013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.81746682,0.915 +7014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.987169094,0.915 +7015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.193196501,0.915 +7016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-1.076786391,0.915 +7017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.127537386,0.915 +7019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.876504076,0.915 +7018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.456006478,0.915 +7020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-1.54348278,0.915 +7021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,10.23092118,0.915 +7024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.970626917,0.915 +7022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.974613391,0.915 +7023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.754242854,0.915 +7025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.573463028,0.915 +7027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,10.79869168,0.915 +7026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.495456522,0.915 +7028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.790282666,0.915 +7030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.604315467,0.915 +7029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.643824379,0.915 +7031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.520701798,0.915 +7032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.778065759,0.915 +7034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.078330457,0.915 +7033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.416047846,0.915 +7035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.897413764,0.915 +7037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.527076185,0.915 +7036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,9.4644336,0.915 +7038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,10.98356978,0.915 +7039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.932938327,0.915 +7040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.185484293,0.915 +7042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.073203718,0.915 +7043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.319527414,0.915 +7041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.751939086,0.915 +7044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.695558592,0.915 +7046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.096278987,0.915 +7045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.86376239,0.915 +7048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.287304851,0.915 +7049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.564939246,0.915 +7050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.403751954,0.915 +7051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.443437392,0.915 +7052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,13.85400438,0.915 +7053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.615428309,0.915 +7054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.84162663,0.915 +7047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.093238944,0.915 +7056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.666800305,0.915 +7055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.168464847,0.915 +7057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.659417408,0.915 +7058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.291094332,0.915 +7060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,9.992540659,0.915 +7062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,11.83022247,0.915 +7061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.577651399,0.915 +7059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.655976628,0.915 +7063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.283169963,0.915 +7065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.289122285,0.915 +7066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.275105868,0.915 +7067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.608276816,0.915 +7068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.673483285,0.915 +7069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.84632423,0.915 +7070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.99137124,0.915 +7064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,9.46396069,0.915 +7072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.275221133,0.915 +7074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.272269847,0.915 +7073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-1.657694904,0.915 +7071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,11.91255369,0.915 +7075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.692850539,0.915 +7077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-1.060677487,0.915 +7076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.169540787,0.915 +7078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.141754321,0.915 +7079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-1.661951398,0.915 +7080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,9.254665001,0.915 +7082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-2.366844504,0.915 +7083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.758832209,0.915 +7084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.730204488,0.915 +7085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.293794522,0.915 +7086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-2.889901037,0.915 +7081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.325861079,0.915 +7087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.95470974,0.915 +7090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.390672469,0.915 +7089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.834270557,0.915 +7088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.03751652,0.915 +7091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.837985559,0.915 +7094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.500186641,0.915 +7093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.741393287,0.915 +7092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.736693197,0.915 +7095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.475692071,0.915 +7096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.944450126,0.915 +7097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.138908278,0.915 +7098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.662172358,0.915 +7099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.379853311,0.915 +7101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.329957078,0.915 +7100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.340382365,0.915 +7102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.536851709,0.915 +7103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.833333476,0.915 +7105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.146081066,0.915 +7104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.080925926,0.915 +7107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.056020501,0.915 +7108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.566750658,0.915 +7106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-3.1643603,0.915 +7109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.190907641,0.915 +7110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.862137858,0.915 +7111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.694443979,0.915 +7113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.664914993,0.915 +7112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.944373332,0.915 +7114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,9.649925226,0.915 +7115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.815530704,0.915 +7116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.954351375,0.915 +7117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.343501991,0.915 +7118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.884876132,0.915 +7119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.316911661,0.915 +7120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.895311693,0.915 +7121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.536131647,0.915 +7123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.414914794,0.915 +7122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.853408168,0.915 +7124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.808009978,0.915 +7125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.438091938,0.915 +7126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.283714386,0.915 +7127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.763672051,0.915 +7128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,10.47309762,0.915 +7129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,9.532444227,0.915 +7130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.244579822,0.915 +7131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.832969365,0.915 +7132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,9.137505151,0.915 +7134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,10.87551808,0.915 +7133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,10.40421691,0.915 +7135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.191781142,0.915 +7136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.199906255,0.915 +7138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-1.741481139,0.915 +7137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.118767185,0.915 +7139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.232628298,0.915 +7140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.32869328,0.915 +7142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.035451768,0.915 +7141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.167991624,0.915 +7143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.283596772,0.915 +7144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.087222882,0.915 +7145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.507874406,0.915 +7146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.377774805,0.915 +7147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.479840605,0.915 +7148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.375238857,0.915 +7149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.763450558,0.915 +7150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.036998646,0.915 +7151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.311723317,0.915 +7152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.266435277,0.915 +7153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.412158717,0.915 +7155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.915352673,0.915 +7154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.277675391,0.915 +7156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.291191663,0.915 +7157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.449547003,0.915 +7158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.935386141,0.915 +7160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.618915974,0.915 +7161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.864080056,0.915 +7159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.146973412,0.915 +7162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.220066103,0.915 +7163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.967771621,0.915 +7164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.646574542,0.915 +7165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-2.8379542,0.915 +7166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,9.972660552,0.915 +7167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,9.245195424,0.915 +7168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,9.513772699,0.915 +7169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.612316845,0.915 +7170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.180218009,0.915 +7171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-2.383074975,0.915 +7172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.520381689,0.915 +7173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.844833703,0.915 +7174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,9.737864966,0.915 +7175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.4449549,0.915 +7176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.353617043,0.915 +7178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.615811988,0.915 +7179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.141969436,0.915 +7180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.412822635,0.915 +7177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.519057153,0.915 +7181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,11.32261967,0.915 +7182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,11.30701907,0.915 +7183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.775651588,0.915 +7184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.17103656,0.915 +7185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.10324218,0.915 +7186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.933597923,0.915 +7187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.612343635,0.915 +7189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.9375895,0.915 +7190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-1.130966174,0.915 +7191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.120563538,0.915 +7188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.849342252,0.915 +7192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.595010765,0.915 +7193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.415242964,0.915 +7195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-3.474544913,0.915 +7194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.182596164,0.915 +7196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.427839078,0.915 +7197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.531558008,0.915 +7198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.224040604,0.915 +7200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,10.03004795,0.915 +7199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.155459273,0.915 +7201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.319804551,0.915 +7203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.989565652,0.915 +7204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.41699149,0.915 +7205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.908652909,0.915 +7202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.945849545,0.915 +7206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.098186205,0.915 +7207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.824701794,0.915 +7208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.828590755,0.915 +7209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.269852841,0.915 +7211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.411297131,0.915 +7212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.567001397,0.915 +7210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.426538689,0.915 +7213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.528804278,0.915 +7214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.775915458,0.915 +7216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.926882899,0.915 +7215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.647155704,0.915 +7217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.033268046,0.915 +7219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.750559052,0.915 +7220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.044341234,0.915 +7218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.665508003,0.915 +7222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.214098129,0.915 +7223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.21021304,0.915 +7221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-1.580032871,0.915 +7224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.572199677,0.915 +7225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.275959474,0.915 +7226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,11.96098309,0.915 +7228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.571079145,0.915 +7227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.13737231,0.915 +7231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.050249912,0.915 +7229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.431888393,0.915 +7230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.888826183,0.915 +7232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.430726729,0.915 +7234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.632365299,0.915 +7235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.902227844,0.915 +7237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.473479131,0.915 +7233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.821291577,0.915 +7238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.223693136,0.915 +7236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.180472882,0.915 +7239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.05965536,0.915 +7240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.150840768,0.915 +7242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.799689,0.915 +7244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.263272409,0.915 +7241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.381627469,0.915 +7243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.453743445,0.915 +7246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.080784356,0.915 +7245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.27358513,0.915 +7247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.367214543,0.915 +7248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.1429134,0.915 +7249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,14.98360938,0.915 +7250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.134973389,0.915 +7251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.133416058,0.915 +7252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.454653076,0.915 +7254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.825024277,0.915 +7256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.040765113,0.915 +7257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.685897985,0.915 +7253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.193039444,0.915 +7255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.226210908,0.915 +7260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.336741874,0.915 +7258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.244198095,0.915 +7259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.094447579,0.915 +7261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.286309757,0.915 +7262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.382195846,0.915 +7263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.800346308,0.915 +7264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.288989011,0.915 +7265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.141314251,0.915 +7266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.948147762,0.915 +7267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.853403439,0.915 +7268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.734116521,0.915 +7269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.710247455,0.915 +7271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,11.21628464,0.915 +7272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.310581779,0.915 +7270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.114835828,0.915 +7274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.003679937,0.915 +7275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.689524389,0.915 +7273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.597185305,0.915 +7276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.774200533,0.915 +7277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-1.032479138,0.915 +7278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.246667466,0.915 +7280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,9.707763287,0.915 +7279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.336792479,0.915 +7281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.40462745,0.915 +7282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,10.91031422,0.915 +7283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.241478017,0.915 +7284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.372719173,0.915 +7285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.302273085,0.915 +7286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.326138194,0.915 +7288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.266737067,0.915 +7287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.260265678,0.915 +7289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.907654047,0.915 +7290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.923550532,0.915 +7291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.975121302,0.915 +7292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.41103104,0.915 +7293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.423745553,0.915 +7295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.464814233,0.915 +7294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.085007668,0.915 +7296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-1.26946487,0.915 +7297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,13.27003405,0.915 +7300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.535865003,0.915 +7299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.20230057,0.915 +7298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,10.93441312,0.915 +7301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.914790502,0.915 +7303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,12.05119172,0.915 +7304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.376054897,0.915 +7305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.210927665,0.915 +7302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.011168945,0.915 +7308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.124093556,0.915 +7307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.74018059,0.915 +7309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,11.83416022,0.915 +7306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-3.900035842,0.915 +7310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.365617643,0.915 +7311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.725878972,0.915 +7312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.683874575,0.915 +7313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.014398698,0.915 +7314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.646960624,0.915 +7316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.867948824,0.915 +7315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,10.99533112,0.915 +7317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.500433708,0.915 +7318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.756119506,0.915 +7319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.848840627,0.915 +7321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.959734791,0.915 +7320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.843121747,0.915 +7322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.069879204,0.915 +7323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.136997989,0.915 +7326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.137221097,0.915 +7325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.608603912,0.915 +7327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.908337503,0.915 +7328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.407722465,0.915 +7324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.864971958,0.915 +7329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.470929965,0.915 +7330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.368237429,0.915 +7331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.290635823,0.915 +7333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-1.070835623,0.915 +7332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.275347338,0.915 +7334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.001750322,0.915 +7337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.080265572,0.915 +7336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.642788461,0.915 +7335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.555037694,0.915 +7338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-1.63890323,0.915 +7339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.663674002,0.915 +7340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.530487183,0.915 +7341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.888588474,0.915 +7342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.045112332,0.915 +7344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.126263602,0.915 +7345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,9.459952593,0.915 +7346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.098492508,0.915 +7343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.768739974,0.915 +7348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.882850101,0.915 +7347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.415466705,0.915 +7349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.177685748,0.915 +7350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.975335214,0.915 +7351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.613225068,0.915 +7353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.328065489,0.915 +7352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.868602775,0.915 +7354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,9.804171083,0.915 +7355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.712293689,0.915 +7356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.665902378,0.915 +7357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.374844309,0.915 +7358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.26676256,0.915 +7359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.666492969,0.915 +7360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.320494197,0.915 +7361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-1.523520452,0.915 +7363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,9.297265308,0.915 +7364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.431658696,0.915 +7362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.633541106,0.915 +7365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.777698706,0.915 +7367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.547208029,0.915 +7366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,10.98762947,0.915 +7368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.180910365,0.915 +7370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.51198219,0.915 +7371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.096758832,0.915 +7372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.599928792,0.915 +7373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.342579254,0.915 +7374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.246419126,0.915 +7375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,13.49037347,0.915 +7369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.392285319,0.915 +7376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,12.01566172,0.915 +7377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.513962894,0.915 +7378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.29830905,0.915 +7379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-4.083981821,0.915 +7381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.584433191,0.915 +7380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.991767562,0.915 +7382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.627661576,0.915 +7383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.341961836,0.915 +7385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.888709519,0.915 +7384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.828779606,0.915 +7386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-1.17869476,0.915 +7389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.353065235,0.915 +7388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.504126243,0.915 +7390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.604595988,0.915 +7387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,9.522722675,0.915 +7391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.141550687,0.915 +7393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.945236481,0.915 +7392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.078903985,0.915 +7394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-3.454774704,0.915 +7395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,11.43767267,0.915 +7397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.769357572,0.915 +7396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.715647436,0.915 +7400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,9.96965887,0.915 +7399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,9.779768954,0.915 +7398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.596926902,0.915 +7401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.627804587,0.915 +7403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.831220774,0.915 +7402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.866019738,0.915 +7404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.938124398,0.915 +7406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.562905936,0.915 +7405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.560272696,0.915 +7407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.900533171,0.915 +7409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,9.060728747,0.915 +7410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.596631565,0.915 +7411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.396183265,0.915 +7408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.717399492,0.915 +7415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.728570475,0.915 +7412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.329130213,0.915 +7414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.495804203,0.915 +7413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.011174151,0.915 +7417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,10.97358838,0.915 +7416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.379651344,0.915 +7418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.825254467,0.915 +7419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.800767126,0.915 +7420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.115051376,0.915 +7422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.280150037,0.915 +7421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.857469228,0.915 +7423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.067280958,0.915 +7425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.606851944,0.915 +7424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,13.79785716,0.915 +7427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.6861213,0.915 +7429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-1.751245409,0.915 +7430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.823501003,0.915 +7428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.174242721,0.915 +7426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.75188073,0.915 +7432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.16535716,0.915 +7431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,10.09169494,0.915 +7433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.824931734,0.915 +7434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.590982036,0.915 +7435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.753793121,0.915 +7436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,9.441306689,0.915 +7437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,11.70027827,0.915 +7438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.706376608,0.915 +7439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.14079339,0.915 +7440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.282347253,0.915 +7441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.124079397,0.915 +7442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-1.199566261,0.915 +7443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.455291105,0.915 +7444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.347743549,0.915 +7445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.788421887,0.915 +7446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.245728354,0.915 +7447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.323438002,0.915 +7448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.977671273,0.915 +7450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,19.36250849,0.915 +7449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.20522925,0.915 +7451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.253198885,0.915 +7452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,9.368776277,0.915 +7453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.490119848,0.915 +7454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.159239222,0.915 +7456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,11.71789735,0.915 +7455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.513444053,0.915 +7458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.093559594,0.915 +7457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.387198619,0.915 +7459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.842959778,0.915 +7460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,9.123482937,0.915 +7463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.44549862,0.915 +7462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.100395906,0.915 +7464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.062389771,0.915 +7465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.329515297,0.915 +7466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.427727346,0.915 +7461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.515781483,0.915 +7467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.269329821,0.915 +7468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.29630871,0.915 +7469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.349009912,0.915 +7471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.380341086,0.915 +7470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.33838745,0.915 +7475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.498279611,0.915 +7472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.955465203,0.915 +7473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.64293738,0.915 +7474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.504111719,0.915 +7476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.978377504,0.915 +7477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.412377041,0.915 +7478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.676192889,0.915 +7480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.845482888,0.915 +7479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.659306732,0.915 +7481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.163826934,0.915 +7482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.127404147,0.915 +7484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.497173136,0.915 +7485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.24670665,0.915 +7486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.291535547,0.915 +7487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.919550364,0.915 +7483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,9.509675943,0.915 +7488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.544743418,0.915 +7489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.74068914,0.915 +7491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.052741619,0.915 +7490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,12.19607155,0.915 +7492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-3.280915616,0.915 +7493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.245089901,0.915 +7494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.836249084,0.915 +7496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.395294369,0.915 +7495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.917511907,0.915 +7497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.484437024,0.915 +7498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.437877576,0.915 +7499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.920498809,0.915 +7500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.162033124,0.915 +7501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.368410588,0.915 +7503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.94857991,0.915 +7502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.896447576,0.915 +7504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.177353619,0.915 +7505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-1.613843115,0.915 +7507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.385689351,0.915 +7506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,9.213501355,0.915 +7509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.802078556,0.915 +7508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.556727203,0.915 +7510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,9.940386428,0.915 +7511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.976611793,0.915 +7512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,12.04328074,0.915 +7513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.683819603,0.915 +7514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.461427075,0.915 +7515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.044056729,0.915 +7516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.059823738,0.915 +7517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.459629379,0.915 +7519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.988198927,0.915 +7520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.991101249,0.915 +7518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.543946604,0.915 +7521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.665872397,0.915 +7522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.040663428,0.915 +7523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.658820199,0.915 +7524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.974371217,0.915 +7525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.914560589,0.915 +7526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.197519688,0.915 +7527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.087523316,0.915 +7528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.122016835,0.915 +7529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.303698986,0.915 +7530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.199175227,0.915 +7532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.292412954,0.915 +7531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,10.06169568,0.915 +7535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.971871766,0.915 +7533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-1.56887712,0.915 +7536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.201256694,0.915 +7534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.200507442,0.915 +7537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.118307716,0.915 +7538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.491557991,0.915 +7539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.435304411,0.915 +7540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.700746095,0.915 +7541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.482271627,0.915 +7544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.107321263,0.915 +7542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.605400486,0.915 +7543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.281141786,0.915 +7545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.411592687,0.915 +7546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.171481648,0.915 +7547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.79877817,0.915 +7548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.021851333,0.915 +7549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-1.805791676,0.915 +7551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.81524678,0.915 +7550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.87194764,0.915 +7552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.615579231,0.915 +7553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.53520479,0.915 +7554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.445753311,0.915 +7555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.153979349,0.915 +7556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.216026618,0.915 +7557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.759612968,0.915 +7558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.965001423,0.915 +7559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.278936177,0.915 +7561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.064104352,0.915 +7560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,14.81821662,0.915 +7562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.391526078,0.915 +7563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.426279976,0.915 +7564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.668832047,0.915 +7565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.506251503,0.915 +7566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.989871723,0.915 +7568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,10.54701377,0.915 +7569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.148122127,0.915 +7570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.509412377,0.915 +7571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.082759689,0.915 +7573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.076904778,0.915 +7572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,12.98714446,0.915 +7567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.510138201,0.915 +7574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.893222365,0.915 +7575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.366590026,0.915 +7576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.938909678,0.915 +7577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.055581042,0.915 +7579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.980282588,0.915 +7581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.134709309,0.915 +7578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,13.89576138,0.915 +7583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.789512932,0.915 +7580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.838551725,0.915 +7582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.526409188,0.915 +7584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.388489387,0.915 +7586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.568547615,0.915 +7587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.764705706,0.915 +7588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,13.51311094,0.915 +7590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.148807781,0.915 +7585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.923830048,0.915 +7589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.8268069,0.915 +7591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.838076407,0.915 +7594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.176954921,0.915 +7593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.978908113,0.915 +7592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.488617819,0.915 +7595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.826756022,0.915 +7597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.002305349,0.915 +7599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.130532144,0.915 +7598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,15.30558632,0.915 +7596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.43780613,0.915 +7600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,12.37149197,0.915 +7601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.618209601,0.915 +7602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.38588042,0.915 +7603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,9.674066944,0.915 +7605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.513949992,0.915 +7606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.077005114,0.915 +7604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.921439977,0.915 +7607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,12.16121198,0.915 +7609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.876733846,0.915 +7610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.694200106,0.915 +7608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.015470874,0.915 +7611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.317843188,0.915 +7613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,9.122394046,0.915 +7614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.03915212,0.915 +7612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.35204527,0.915 +7616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.704630619,0.915 +7615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.167412807,0.915 +7617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.421745988,0.915 +7618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.195250295,0.915 +7619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.771526737,0.915 +7620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,9.358493041,0.915 +7621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.246286083,0.915 +7622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.165906452,0.915 +7625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.148514214,0.915 +7624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.710970077,0.915 +7626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,11.11369172,0.915 +7623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.873859759,0.915 +7627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.745399109,0.915 +7628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.148146754,0.915 +7629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.287808161,0.915 +7630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.565604156,0.915 +7631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,9.331523327,0.915 +7632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.883766375,0.915 +7633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.242080792,0.915 +7634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,10.41617641,0.915 +7635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.225961971,0.915 +7636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.840518882,0.915 +7637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.355796363,0.915 +7638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.523800935,0.915 +7639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,11.31473053,0.915 +7640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-1.679456547,0.915 +7641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.179644607,0.915 +7643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.935249127,0.915 +7642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.354665656,0.915 +7644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.645945067,0.915 +7647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,11.29625051,0.915 +7646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.832893664,0.915 +7645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.413005332,0.915 +7648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.624411653,0.915 +7649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.583509406,0.915 +7650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,11.51089246,0.915 +7652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.056647005,0.915 +7651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.086395167,0.915 +7653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.161394545,0.915 +7654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.718308252,0.915 +7655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.625312348,0.915 +7656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.474224511,0.915 +7657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.766383672,0.915 +7658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.737352014,0.915 +7659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.464509619,0.915 +7660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,13.0207168,0.915 +7661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.723293684,0.915 +7662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.270324063,0.915 +7663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.456621783,0.915 +7664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.506534317,0.915 +7665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.162812307,0.915 +7666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.560024671,0.915 +7667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.828821626,0.915 +7668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.459191465,0.915 +7669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.830820848,0.915 +7670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,13.13621838,0.915 +7671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.700528453,0.915 +7673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,13.39533985,0.915 +7674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,10.65639822,0.915 +7675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.527063246,0.915 +7672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.834829622,0.915 +7676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.383570637,0.915 +7677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.706100002,0.915 +7678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.784796526,0.915 +7680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.166471202,0.915 +7681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.410568968,0.915 +7682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.517838829,0.915 +7683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.255068422,0.915 +7684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.787806142,0.915 +7679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.100622028,0.915 +7685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.722870021,0.915 +7686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.03199977,0.915 +7687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.952224465,0.915 +7688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.984874524,0.915 +7689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.778742525,0.915 +7691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.521971841,0.915 +7690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-3.279300477,0.915 +7692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.38876225,0.915 +7693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.459893755,0.915 +7694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.402855125,0.915 +7695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.06599035,0.915 +7697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.670665746,0.915 +7698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.077901336,0.915 +7699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.615790008,0.915 +7700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.362466927,0.915 +7696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-3.72416618,0.915 +7701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.07839844,0.915 +7702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.192608841,0.915 +7703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-5.15E-04,0.915 +7705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,11.96050164,0.915 +7704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.150023369,0.915 +7706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.854233777,0.915 +7707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.757735493,0.915 +7708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.662043542,0.915 +7709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.025641184,0.915 +7710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-2.385441058,0.915 +7712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.568097961,0.915 +7711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.465746595,0.915 +7714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.601018393,0.915 +7715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.753255937,0.915 +7713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.361871526,0.915 +7716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,9.442772749,0.915 +7717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.730578176,0.915 +7718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.969921441,0.915 +7719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.658774459,0.915 +7720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,11.99489959,0.915 +7721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.826909081,0.915 +7722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.958286208,0.915 +7723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.554330744,0.915 +7724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.870515759,0.915 +7725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.872621569,0.915 +7726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.921269202,0.915 +7728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,11.75061431,0.915 +7729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.354521005,0.915 +7727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.65881204,0.915 +7730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.652266406,0.915 +7732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.040279172,0.915 +7731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.473919666,0.915 +7734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.84338312,0.915 +7733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.97958173,0.915 +7735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.09080274,0.915 +7736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.209731595,0.915 +7737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,10.55219041,0.915 +7739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,9.043470884,0.915 +7740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.005768453,0.915 +7738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.352168966,0.915 +7743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.193180408,0.915 +7741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.203134076,0.915 +7742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.816226155,0.915 +7744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.710472311,0.915 +7745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.028456859,0.915 +7747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.663677786,0.915 +7746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.322564353,0.915 +7748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.95474497,0.915 +7751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.692919068,0.915 +7749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,13.57203031,0.915 +7750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.227520773,0.915 +7752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.979211709,0.915 +7753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.270074782,0.915 +7754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.829243359,0.915 +7755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.624873744,0.915 +7757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.398401047,0.915 +7756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.8414079,0.915 +7758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-3.003240322,0.915 +7759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.023630694,0.915 +7760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.168089931,0.915 +7761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.947121886,0.915 +7762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.949574968,0.915 +7763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.597150326,0.915 +7764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.154396754,0.915 +7765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,12.79342043,0.915 +7766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,12.25104602,0.915 +7767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,12.4978907,0.915 +7768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.821698772,0.915 +7771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.958152688,0.915 +7770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.954934964,0.915 +7772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,15.80023891,0.915 +7773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.660123295,0.915 +7774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.653107205,0.915 +7775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.661550375,0.915 +7769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.173614864,0.915 +7776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.97804909,0.915 +7777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.719106913,0.915 +7779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.200176765,0.915 +7780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.705637137,0.915 +7778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.296305283,0.915 +7781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.398193565,0.915 +7782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.141010494,0.915 +7784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.57175899,0.915 +7783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.22031164,0.915 +7785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.415790008,0.915 +7787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.961383227,0.915 +7788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.517654275,0.915 +7789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.638912289,0.915 +7790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.505730154,0.915 +7786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-1.135763725,0.915 +7791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.973470758,0.915 +7792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.400284644,0.915 +7794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.266959317,0.915 +7793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.946509872,0.915 +7795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-1.702979328,0.915 +7796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.328677542,0.915 +7797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.531671348,0.915 +7798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.74259877,0.915 +7799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.690345659,0.915 +7800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,13.80727419,0.915 +7802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,13.29696791,0.915 +7801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.091872281,0.915 +7803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.569655235,0.915 +7804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.757483562,0.915 +7805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.725450524,0.915 +7807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.151999586,0.915 +7808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.801748564,0.915 +7809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.39099647,0.915 +7806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.346250332,0.915 +7810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,15.79526075,0.915 +7811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.892864999,0.915 +7812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.702194609,0.915 +7814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.923742532,0.915 +7813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.152065097,0.915 +7815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,10.59234964,0.915 +7816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.555038025,0.915 +7817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.768062986,0.915 +7818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.046905206,0.915 +7819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.623010857,0.915 +7820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,9.805105441,0.915 +7821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,9.580579021,0.915 +7822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.807418511,0.915 +7823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.098856669,0.915 +7824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,13.41507274,0.915 +7825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.373411377,0.915 +7827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.16605282,0.915 +7828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.465822427,0.915 +7826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.164883359,0.915 +7829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.349708127,0.915 +7830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.325468482,0.915 +7831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.415439412,0.915 +7833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.173986267,0.915 +7832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,9.013016584,0.915 +7834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.171704915,0.915 +7835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.323674239,0.915 +7836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.873620483,0.915 +7838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.660432771,0.915 +7837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.149685585,0.915 +7839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.605931209,0.915 +7840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.199862833,0.915 +7841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.538179724,0.915 +7842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.913846909,0.915 +7843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.222945386,0.915 +7844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.773822343,0.915 +7845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.380381292,0.915 +7846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.64224446,0.915 +7847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.520547945,0.915 +7848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.368993727,0.915 +7849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.152148996,0.915 +7851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.272802484,0.915 +7852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.211381632,0.915 +7850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,10.66532073,0.915 +7853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.518412269,0.915 +7854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.495016859,0.915 +7855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.783159972,0.915 +7856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.194833913,0.915 +7858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,13.4951784,0.915 +7859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-2.726347001,0.915 +7860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.929115204,0.915 +7862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.608698959,0.915 +7861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.251257513,0.915 +7857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.589762688,0.915 +7863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.851576489,0.915 +7864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.251753788,0.915 +7865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.883425985,0.915 +7866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.215536542,0.915 +7868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,9.342359006,0.915 +7869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.267159641,0.915 +7867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.092510489,0.915 +7870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.787743597,0.915 +7871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.296294759,0.915 +7872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.960699153,0.915 +7873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-1.034439985,0.915 +7874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.902791337,0.915 +7875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.775383731,0.915 +7876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.142525557,0.915 +7877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-2.197251321,0.915 +7878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.196063257,0.915 +7879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.001714083,0.915 +7880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-2.379117452,0.915 +7883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.536411732,0.915 +7884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.853361529,0.915 +7882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.402366601,0.915 +7881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.418414881,0.915 +7887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.112701544,0.915 +7888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.61979055,0.915 +7886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.449139563,0.915 +7885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.138579347,0.915 +7889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.01326048,0.915 +7890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.273467657,0.915 +7891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.602465145,0.915 +7892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.366158301,0.915 +7893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.38621795,0.915 +7895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,13.22658381,0.915 +7896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.085554568,0.915 +7894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.017340982,0.915 +7898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.405662972,0.915 +7899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.494552168,0.915 +7900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.173981303,0.915 +7897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.13734943,0.915 +7902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.642380837,0.915 +7904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.011603531,0.915 +7901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.013414974,0.915 +7903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.228514834,0.915 +7905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,13.95208245,0.915 +7906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-3.306165023,0.915 +7907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.575327398,0.915 +7909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.86977262,0.915 +7910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.65740319,0.915 +7908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.176377637,0.915 +7911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.054614308,0.915 +7912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.36258415,0.915 +7913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.06530346,0.915 +7915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.657737087,0.915 +7914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.859349858,0.915 +7917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.002658767,0.915 +7916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.62254681,0.915 +7918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.024368739,0.915 +7919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.61039645,0.915 +7920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.529273526,0.915 +7921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,11.8084489,0.915 +7922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,9.770051028,0.915 +7923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.121097708,0.915 +7925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.787298898,0.915 +7924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.390618495,0.915 +7926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.898698665,0.915 +7927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.534393418,0.915 +7928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.310382751,0.915 +7930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.831711982,0.915 +7929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.532230281,0.915 +7932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.923019422,0.915 +7931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,11.83852389,0.915 +7933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.955505732,0.915 +7934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.071978762,0.915 +7935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.603311936,0.915 +7936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.40345575,0.915 +7937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.025790191,0.915 +7939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,10.50082792,0.915 +7940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.983809207,0.915 +7938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.59531407,0.915 +7941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.196910217,0.915 +7942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.272509325,0.915 +7943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.849112201,0.915 +7944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,9.317502149,0.915 +7945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.18783459,0.915 +7946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.133460549,0.915 +7947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.57801557,0.915 +7949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.835480278,0.915 +7950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.03811714,0.915 +7948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.868745678,0.915 +7951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.439856024,0.915 +7952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,10.79532047,0.915 +7953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-3.808153832,0.915 +7955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.099166853,0.915 +7956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.248107105,0.915 +7954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,0.406348462,0.915 +7957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.944837294,0.915 +7958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.749170872,0.915 +7959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.249881664,0.915 +7960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.46879232,0.915 +7961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.694876143,0.915 +7962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.183833965,0.915 +7963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.209869585,0.915 +7964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.185456875,0.915 +7965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.17393058,0.915 +7966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.66922693,0.915 +7967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,17.71881651,0.915 +7969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.199874794,0.915 +7971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.128420933,0.915 +7970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-0.887701725,0.915 +7972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,6.661970071,0.915 +7968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.058178733,0.915 +7974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.456332471,0.915 +7973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.222401934,0.915 +7975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.337219728,0.915 +7976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,12.09257376,0.915 +7977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.189351531,0.915 +7978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.486825594,0.915 +7980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.844508274,0.915 +7979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.245676467,0.915 +7981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.354446813,0.915 +7982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.025654665,0.915 +7984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.322264739,0.915 +7983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.060616437,0.915 +7985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.937469654,0.915 +7986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.135256775,0.915 +7987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,8.204198218,0.915 +7989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.266199872,0.915 +7990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.839861032,0.915 +7991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.434310227,0.915 +7988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.76977035,0.915 +7992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,7.597408701,0.915 +7993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,2.490889216,0.915 +7994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,-1.903144071,0.915 +7995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,5.995261984,0.915 +7996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,11.50594131,0.915 +7997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,4.984086035,0.915 +7998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,10.01004382,0.915 +7999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,1.333901434,0.915 +8000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,8,1,3.922268203,0.915 +17001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.372218364,0.933 +17002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.402471715,0.933 +17004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.54210102,0.933 +17005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.571014716,0.933 +17003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.39721879,0.933 +17006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.70709195,0.933 +17007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.148798904,0.933 +17008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.49084591,0.933 +17009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.129578098,0.933 +17010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,10.19164855,0.933 +17011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.607064499,0.933 +17012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.28924334,0.933 +17013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.396711084,0.933 +17014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,11.80558884,0.933 +17015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.561525472,0.933 +17016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.333411916,0.933 +17017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.598104809,0.933 +17018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.362650368,0.933 +17019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.015526836,0.933 +17020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.441618922,0.933 +17021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.409292291,0.933 +17022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,10.9582559,0.933 +17023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.784223161,0.933 +17024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.293756043,0.933 +17026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.964933099,0.933 +17027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.339345213,0.933 +17028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.301200275,0.933 +17029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.271809615,0.933 +17030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.877951066,0.933 +17025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.395103647,0.933 +17034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.126446163,0.933 +17033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.002134332,0.933 +17031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.601638258,0.933 +17032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.262130805,0.933 +17036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.546613567,0.933 +17035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.055133837,0.933 +17037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.106062108,0.933 +17038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.102832907,0.933 +17039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.382244065,0.933 +17041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.946689605,0.933 +17042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.059652759,0.933 +17043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.331363582,0.933 +17044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.520622875,0.933 +17045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.557265323,0.933 +17040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.604395488,0.933 +17047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.890709128,0.933 +17046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-1.930518551,0.933 +17049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.445019693,0.933 +17048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.904325201,0.933 +17051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.372601827,0.933 +17050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.012236375,0.933 +17053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.286063223,0.933 +17052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-1.318625145,0.933 +17054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.604721232,0.933 +17055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.085655473,0.933 +17056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.774740175,0.933 +17057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.804898003,0.933 +17058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.47198013,0.933 +17059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.932472928,0.933 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+17073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.052186244,0.933 +17074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.041175523,0.933 +17075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.679290997,0.933 +17077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.029964241,0.933 +17078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.96627863,0.933 +17079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.508306791,0.933 +17076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,10.83086033,0.933 +17082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.240414252,0.933 +17080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-1.052320104,0.933 +17081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.189881026,0.933 +17083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.241496915,0.933 +17084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.155928781,0.933 +17085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.825079494,0.933 +17086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.812609333,0.933 +17087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.272423079,0.933 +17090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.314458484,0.933 +17088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.450059342,0.933 +17089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.231736127,0.933 +17092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,9.918659918,0.933 +17091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.270544294,0.933 +17093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.991046973,0.933 +17094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.126518955,0.933 +17095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.067543541,0.933 +17096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.8697146,0.933 +17098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.992454848,0.933 +17097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,9.051437404,0.933 +17099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-1.717625256,0.933 +17102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.320773843,0.933 +17101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.693453268,0.933 +17100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.035012939,0.933 +17103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,10.98748098,0.933 +17105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.632174377,0.933 +17104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.254277575,0.933 +17106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.317371153,0.933 +17107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.313029608,0.933 +17108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.172438156,0.933 +17109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.001280015,0.933 +17110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.374963427,0.933 +17111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.303474738,0.933 +17112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.572544236,0.933 +17113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.435552978,0.933 +17115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.35047248,0.933 +17116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.034628617,0.933 +17117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.47771873,0.933 +17118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.063357238,0.933 +17119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.984549099,0.933 +17120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.374550567,0.933 +17114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.971941479,0.933 +17121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.063934149,0.933 +17122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.904002206,0.933 +17123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.659454663,0.933 +17124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,9.645040601,0.933 +17125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.587936985,0.933 +17126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.080605175,0.933 +17128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.658702189,0.933 +17127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.651671341,0.933 +17129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.706347031,0.933 +17130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,11.68801882,0.933 +17132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.696774612,0.933 +17133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.173213441,0.933 +17134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.240251641,0.933 +17135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.179160079,0.933 +17136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.314641607,0.933 +17137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,10.59308464,0.933 +17131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.796880149,0.933 +17138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.463024261,0.933 +17139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,11.04677479,0.933 +17141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.604552405,0.933 +17140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.267118815,0.933 +17142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.668741963,0.933 +17143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.092913319,0.933 +17144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.893628079,0.933 +17146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.521753098,0.933 +17145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.050683764,0.933 +17147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.223253301,0.933 +17148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.178552907,0.933 +17149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.217304998,0.933 +17150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.272389466,0.933 +17151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.14578239,0.933 +17153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.555415066,0.933 +17154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.973782452,0.933 +17155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.50413703,0.933 +17157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.391778377,0.933 +17152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.403496151,0.933 +17156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.770630506,0.933 +17158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.341957626,0.933 +17159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.82545035,0.933 +17161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.90815405,0.933 +17162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.304950104,0.933 +17160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.03730122,0.933 +17163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,9.912336477,0.933 +17164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.168934448,0.933 +17165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.105550912,0.933 +17166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.755725614,0.933 +17167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.567823203,0.933 +17168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.648177458,0.933 +17169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.265173454,0.933 +17170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.886964383,0.933 +17171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.846993105,0.933 +17172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.521616812,0.933 +17173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.671255198,0.933 +17174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.298778618,0.933 +17175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.542205773,0.933 +17177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.840086932,0.933 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+17190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.30516351,0.933 +17191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,9.420818074,0.933 +17192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.127729218,0.933 +17193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.06925461,0.933 +17195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.54747243,0.933 +17194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.991426205,0.933 +17196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.961720834,0.933 +17197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.299610181,0.933 +17198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.449962412,0.933 +17199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.686103128,0.933 +17200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.688052098,0.933 +17201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.515334404,0.933 +17202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.531124879,0.933 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+17230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.616862826,0.933 +17231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.777775455,0.933 +17229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.470345065,0.933 +17232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.14745003,0.933 +17234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.727028607,0.933 +17235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.217428267,0.933 +17233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.686197342,0.933 +17236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.928193588,0.933 +17237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.00719328,0.933 +17239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.337613903,0.933 +17240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.550886248,0.933 +17241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.4671521,0.933 +17238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.881847951,0.933 +17242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.32735265,0.933 +17243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.941339866,0.933 +17244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.556101903,0.933 +17246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.961001674,0.933 +17245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.296010257,0.933 +17247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.246289664,0.933 +17250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.067695715,0.933 +17248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.177764445,0.933 +17249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.369696055,0.933 +17251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.777633017,0.933 +17252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,9.033618154,0.933 +17253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.356823152,0.933 +17254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,9.870243205,0.933 +17255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.290433233,0.933 +17257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.377008985,0.933 +17258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.171775471,0.933 +17259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,9.472636929,0.933 +17260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.746496133,0.933 +17256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.548292041,0.933 +17261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.165428451,0.933 +17264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,10.89526181,0.933 +17262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.444300082,0.933 +17263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.579621325,0.933 +17265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.186622308,0.933 +17266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.746648233,0.933 +17267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.481499272,0.933 +17268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.410889577,0.933 +17270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.538280193,0.933 +17269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.708105891,0.933 +17271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.39266457,0.933 +17272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.944757817,0.933 +17273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.179648086,0.933 +17275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.506054622,0.933 +17274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,10.51833944,0.933 +17276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.238329369,0.933 +17279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.132391598,0.933 +17278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.579456536,0.933 +17277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.022402211,0.933 +17280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-1.269969649,0.933 +17281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.812511227,0.933 +17282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.946979689,0.933 +17283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.550841039,0.933 +17284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.610708748,0.933 +17285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.254822712,0.933 +17286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.130374646,0.933 +17287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.028322063,0.933 +17288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.115491296,0.933 +17290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.691789434,0.933 +17291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-1.598327143,0.933 +17292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.888763794,0.933 +17289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.416332584,0.933 +17293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.361898662,0.933 +17295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.090583906,0.933 +17294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.760241479,0.933 +17297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,9.236978487,0.933 +17298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,9.116963943,0.933 +17299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.599694485,0.933 +17296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.063935222,0.933 +17300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.969687077,0.933 +17302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.098890495,0.933 +17301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.284286956,0.933 +17304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.043597015,0.933 +17306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.487354557,0.933 +17305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-1.730642696,0.933 +17303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.473756028,0.933 +17307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.43317622,0.933 +17309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.534503883,0.933 +17310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.162058072,0.933 +17308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,11.29682553,0.933 +17311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.505164648,0.933 +17312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.756487476,0.933 +17314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.550335394,0.933 +17313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.612075066,0.933 +17315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.365833334,0.933 +17316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.894797869,0.933 +17317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.837229247,0.933 +17319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.277310923,0.933 +17320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.204681392,0.933 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+17333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.390675442,0.933 +17334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-2.186563475,0.933 +17336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.560264733,0.933 +17335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.78747332,0.933 +17337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.725445057,0.933 +17339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.467364,0.933 +17340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.315759609,0.933 +17341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,9.603002656,0.933 +17338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.889042821,0.933 +17343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.72834204,0.933 +17342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.77600551,0.933 +17344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.975155329,0.933 +17345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.793376223,0.933 +17346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.206496503,0.933 +17347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.874386562,0.933 +17348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.694184135,0.933 +17349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.992787316,0.933 +17350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.031130807,0.933 +17351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.108215889,0.933 +17352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.072078981,0.933 +17353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.589732291,0.933 +17355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.360103641,0.933 +17354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.969813273,0.933 +17356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.814777834,0.933 +17357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.745293282,0.933 +17358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.514215959,0.933 +17359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.209609147,0.933 +17360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.887502898,0.933 +17361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.340141823,0.933 +17362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.920385232,0.933 +17364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.312924255,0.933 +17363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.386368044,0.933 +17365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.825251335,0.933 +17368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.114772293,0.933 +17366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.606676828,0.933 +17367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.549272626,0.933 +17371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.590091639,0.933 +17370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.797427475,0.933 +17372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.209711663,0.933 +17369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.22114197,0.933 +17374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.621535577,0.933 +17375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.109052877,0.933 +17376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.041811396,0.933 +17373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.616505029,0.933 +17378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.445871035,0.933 +17377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.404200847,0.933 +17379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,9.834306676,0.933 +17382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.172730155,0.933 +17381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.025541569,0.933 +17380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.269466134,0.933 +17383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.285921534,0.933 +17384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.716683457,0.933 +17385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.149439963,0.933 +17386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.371667723,0.933 +17388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.23535971,0.933 +17389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.229074914,0.933 +17387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.025978168,0.933 +17390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.36548639,0.933 +17391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.189505926,0.933 +17392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.446875069,0.933 +17393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.714765821,0.933 +17395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.41075761,0.933 +17396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,9.357891123,0.933 +17394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,9.601053402,0.933 +17397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.21528656,0.933 +17400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.583185256,0.933 +17398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.558851971,0.933 +17399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.120799505,0.933 +17401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.018220206,0.933 +17402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.573459313,0.933 +17403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.616643785,0.933 +17404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.788831794,0.933 +17405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.412949396,0.933 +17406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,11.73395077,0.933 +17407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.061969107,0.933 +17408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.341595816,0.933 +17409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.133416687,0.933 +17411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.952583573,0.933 +17412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.405118798,0.933 +17410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.505270015,0.933 +17414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.493989405,0.933 +17413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.204380989,0.933 +17416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.952799065,0.933 +17415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.834566042,0.933 +17418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.151972686,0.933 +17417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.345305416,0.933 +17419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.759661665,0.933 +17420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.22575449,0.933 +17422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.423631117,0.933 +17421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.779726351,0.933 +17424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,9.085792361,0.933 +17423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.643263742,0.933 +17425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.884990681,0.933 +17426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.097527371,0.933 +17427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.650212884,0.933 +17429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.578249713,0.933 +17428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.654614148,0.933 +17431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.909501653,0.933 +17430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.218387002,0.933 +17433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.343134608,0.933 +17432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.984282004,0.933 +17434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.958365104,0.933 +17436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.7567895,0.933 +17437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.946604695,0.933 +17435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.489801891,0.933 +17438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,9.202893499,0.933 +17440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.89149625,0.933 +17439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.235960438,0.933 +17441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.30020854,0.933 +17442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.265120551,0.933 +17443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.13032041,0.933 +17445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.695580936,0.933 +17444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.111692306,0.933 +17447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.225811242,0.933 +17446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.821340984,0.933 +17449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.617132598,0.933 +17448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.094564724,0.933 +17450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.245027557,0.933 +17451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.13787228,0.933 +17452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,12.39668539,0.933 +17453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.02584588,0.933 +17455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.036820162,0.933 +17454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.187159458,0.933 +17456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.688762054,0.933 +17457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.254721051,0.933 +17458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.600820114,0.933 +17459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.028298352,0.933 +17460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.108960802,0.933 +17461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.844951982,0.933 +17463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.146680772,0.933 +17462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.643629517,0.933 +17464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.802051123,0.933 +17466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.557218989,0.933 +17467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.256396876,0.933 +17468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.261291209,0.933 +17469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.630004183,0.933 +17470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.688542288,0.933 +17465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-1.433211716,0.933 +17471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.683176768,0.933 +17473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.287536481,0.933 +17472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.827307301,0.933 +17475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.612016018,0.933 +17474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.36883494,0.933 +17476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.772820124,0.933 +17477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.668314211,0.933 +17479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.402947767,0.933 +17478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.968734861,0.933 +17480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.756448287,0.933 +17483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.614367833,0.933 +17481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,9.60115139,0.933 +17484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.021405877,0.933 +17485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.849687974,0.933 +17486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.328257862,0.933 +17487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.601494429,0.933 +17488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.790379642,0.933 +17489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.254865537,0.933 +17482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.1189363,0.933 +17493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.02893525,0.933 +17490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.60232013,0.933 +17491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.593592147,0.933 +17492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.488756569,0.933 +17494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.032246746,0.933 +17495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.158105838,0.933 +17496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.29419243,0.933 +17497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.137900826,0.933 +17498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,11.99442069,0.933 +17499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.479727491,0.933 +17500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.32180747,0.933 +17501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.748281899,0.933 +17503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.533244786,0.933 +17504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.154648544,0.933 +17505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.580579443,0.933 +17502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.405286728,0.933 +17506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.120241589,0.933 +17508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.217343344,0.933 +17509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.575096842,0.933 +17507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.127885319,0.933 +17510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.670170408,0.933 +17511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.276371518,0.933 +17513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.20584088,0.933 +17512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.401748513,0.933 +17514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.882609902,0.933 +17515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.489385835,0.933 +17516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.193834783,0.933 +17517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.743753636,0.933 +17518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.851589481,0.933 +17519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,9.141396023,0.933 +17520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.895969485,0.933 +17523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.745295148,0.933 +17522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.389902289,0.933 +17521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.315643826,0.933 +17524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.366858117,0.933 +17525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.468831507,0.933 +17526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.232864961,0.933 +17528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.363663035,0.933 +17527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.759259154,0.933 +17529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.964595285,0.933 +17531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.907441331,0.933 +17532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.225331204,0.933 +17530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.505399405,0.933 +17533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.795419659,0.933 +17535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.437290806,0.933 +17534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.531979151,0.933 +17537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.852730291,0.933 +17536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.564779572,0.933 +17538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.7747668,0.933 +17539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,9.568085761,0.933 +17540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.776319659,0.933 +17541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.002129148,0.933 +17542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.093471432,0.933 +17543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.49834636,0.933 +17544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.723640427,0.933 +17546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.386336769,0.933 +17547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.716449062,0.933 +17548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,11.90105076,0.933 +17545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.267531279,0.933 +17549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.849055132,0.933 +17551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.484470349,0.933 +17552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.138278431,0.933 +17550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.04711069,0.933 +17553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.30993122,0.933 +17554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.657710934,0.933 +17556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.512628487,0.933 +17555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.011140003,0.933 +17557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.61604239,0.933 +17559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.602944495,0.933 +17558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.815769451,0.933 +17560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.870742514,0.933 +17561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.435391208,0.933 +17562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.509079085,0.933 +17563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.819231347,0.933 +17564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.632027811,0.933 +17565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-2.357774336,0.933 +17567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.58389289,0.933 +17566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.715626823,0.933 +17569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.003308897,0.933 +17568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.485890001,0.933 +17570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.495424872,0.933 +17571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.498841927,0.933 +17572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.042592503,0.933 +17574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.1129105,0.933 +17575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.764336826,0.933 +17573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.474593528,0.933 +17576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.103312187,0.933 +17577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.635975704,0.933 +17578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.879602386,0.933 +17580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.680262095,0.933 +17579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.056980682,0.933 +17581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.714534349,0.933 +17582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.827888209,0.933 +17584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.913616651,0.933 +17583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.501562444,0.933 +17585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.991036319,0.933 +17586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.258264369,0.933 +17588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.530952902,0.933 +17589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.238012177,0.933 +17590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.196173561,0.933 +17591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.587792798,0.933 +17587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.109489836,0.933 +17592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.42349519,0.933 +17593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.552004142,0.933 +17594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.744283156,0.933 +17597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.105633572,0.933 +17596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.49119663,0.933 +17595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,10.08164746,0.933 +17598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.250660291,0.933 +17599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.549699148,0.933 +17601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.085819376,0.933 +17600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.689184123,0.933 +17602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.488545574,0.933 +17603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.542554703,0.933 +17604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.611469603,0.933 +17606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.507112093,0.933 +17605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.457590987,0.933 +17607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.775505483,0.933 +17610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.928422409,0.933 +17609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.521389829,0.933 +17611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.474324572,0.933 +17613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.634601539,0.933 +17612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.471946782,0.933 +17608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.287607772,0.933 +17614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.637516871,0.933 +17615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.30397284,0.933 +17616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.07612664,0.933 +17617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.818007546,0.933 +17618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.885733143,0.933 +17620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.811884828,0.933 +17619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.632803561,0.933 +17621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.070360407,0.933 +17622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.115976137,0.933 +17623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.71331332,0.933 +17624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.57978765,0.933 +17626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.964650184,0.933 +17627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.101230218,0.933 +17628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.872047426,0.933 +17625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.026001021,0.933 +17629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.498511189,0.933 +17631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.003096566,0.933 +17630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.65755165,0.933 +17633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.530950026,0.933 +17632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.11754319,0.933 +17636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,15.23933003,0.933 +17635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.04161338,0.933 +17634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-1.81127678,0.933 +17637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.77481815,0.933 +17639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.64514528,0.933 +17638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.855125361,0.933 +17640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.697612321,0.933 +17641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.978947046,0.933 +17643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.939344658,0.933 +17644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,10.14572458,0.933 +17642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.336555581,0.933 +17646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.68516552,0.933 +17647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.708360693,0.933 +17645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,10.35258671,0.933 +17648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.72421153,0.933 +17649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.091322696,0.933 +17650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.833431954,0.933 +17652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.750998616,0.933 +17651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.158327876,0.933 +17653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.545411834,0.933 +17654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.375243051,0.933 +17655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.556667394,0.933 +17656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.05013203,0.933 +17657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.548527814,0.933 +17658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.386518395,0.933 +17659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.565632268,0.933 +17660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.204216892,0.933 +17661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,13.14775467,0.933 +17662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.12303715,0.933 +17663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.485199755,0.933 +17665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.536867097,0.933 +17666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.73612431,0.933 +17664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,11.69364412,0.933 +17667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.480735684,0.933 +17668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.238509666,0.933 +17669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.492012195,0.933 +17670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.397484546,0.933 +17671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.278904623,0.933 +17672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.608038205,0.933 +17673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.20152705,0.933 +17674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.921294047,0.933 +17675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.419082583,0.933 +17677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.397205522,0.933 +17676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.533167561,0.933 +17679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.955462665,0.933 +17680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.382714201,0.933 +17681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.464338899,0.933 +17678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.648250175,0.933 +17682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.788364198,0.933 +17683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.715694972,0.933 +17684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.119465627,0.933 +17686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.662568145,0.933 +17687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.277536702,0.933 +17688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.975481922,0.933 +17685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.138708942,0.933 +17690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.820577389,0.933 +17689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.370466077,0.933 +17692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.42541153,0.933 +17691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.665133073,0.933 +17693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.569925858,0.933 +17694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.951711072,0.933 +17695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.002657442,0.933 +17696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.373747988,0.933 +17697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,9.529067309,0.933 +17698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.419796694,0.933 +17700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.039442461,0.933 +17701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.262178931,0.933 +17702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.172253632,0.933 +17703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.303904927,0.933 +17705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.59489463,0.933 +17699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,9.849561823,0.933 +17704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.439488987,0.933 +17706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.225303073,0.933 +17707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.186324894,0.933 +17709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.532098422,0.933 +17708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.735424787,0.933 +17710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.50962571,0.933 +17711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.739887198,0.933 +17712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.656145723,0.933 +17713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.767674929,0.933 +17714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.505849033,0.933 +17715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.357772106,0.933 +17716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.541602319,0.933 +17717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,10.51588478,0.933 +17718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.417641242,0.933 +17720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.718911644,0.933 +17719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.944388729,0.933 +17722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.950276277,0.933 +17721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.632156377,0.933 +17723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.385008533,0.933 +17724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.362070009,0.933 +17725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.621805927,0.933 +17727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.897413346,0.933 +17726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.735354795,0.933 +17728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.604088327,0.933 +17729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.686232226,0.933 +17730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.5266784,0.933 +17732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.261138958,0.933 +17731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.330571263,0.933 +17733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,12.78208861,0.933 +17734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.446724715,0.933 +17735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.331042233,0.933 +17737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.33146612,0.933 +17736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,9.645450814,0.933 +17738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.335478919,0.933 +17739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.32463004,0.933 +17740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.917075375,0.933 +17741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.673114867,0.933 +17742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.850763673,0.933 +17743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.087742388,0.933 +17744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.643588308,0.933 +17746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.521478169,0.933 +17747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.468621661,0.933 +17745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.197389889,0.933 +17748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.958147279,0.933 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+17763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.544205858,0.933 +17764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.114761716,0.933 +17765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.331209624,0.933 +17762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.213904336,0.933 +17766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.210461377,0.933 +17768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.181899973,0.933 +17769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.339423128,0.933 +17767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.122433702,0.933 +17770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.08642508,0.933 +17771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.118430311,0.933 +17772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.620200506,0.933 +17774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.866722636,0.933 +17775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.809705394,0.933 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+17787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.800802425,0.933 +17789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.945319206,0.933 +17790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.430472128,0.933 +17791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.739568495,0.933 +17792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.991115736,0.933 +17794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.490637182,0.933 +17795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.131529544,0.933 +17793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,10.01382248,0.933 +17796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.621383241,0.933 +17797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.314981518,0.933 +17798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.930910098,0.933 +17800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.748634186,0.933 +17801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.808694434,0.933 +17799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.758374932,0.933 +17802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.996579556,0.933 +17803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.772836905,0.933 +17804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.926842616,0.933 +17805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.296145665,0.933 +17806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.671697154,0.933 +17807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,11.19535383,0.933 +17808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.451737218,0.933 +17809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.663172163,0.933 +17810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.543527191,0.933 +17811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.423233891,0.933 +17812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.913383208,0.933 +17814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.542805395,0.933 +17815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.819062075,0.933 +17813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.568508503,0.933 +17816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.696980454,0.933 +17818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.238378127,0.933 +17817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.079088078,0.933 +17820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.544879097,0.933 +17819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.13963668,0.933 +17821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.798745383,0.933 +17822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.052316198,0.933 +17823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.546705235,0.933 +17824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-1.149143533,0.933 +17825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.69378276,0.933 +17826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-1.181765622,0.933 +17827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.246380286,0.933 +17829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.52517244,0.933 +17830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.68178821,0.933 +17828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.929528924,0.933 +17831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,9.307659484,0.933 +17833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.708148493,0.933 +17832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.526315934,0.933 +17834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,11.35550092,0.933 +17835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.120680807,0.933 +17837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.04899679,0.933 +17836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.262754705,0.933 +17838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.742052884,0.933 +17839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.395391033,0.933 +17840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.72382085,0.933 +17841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.109903623,0.933 +17842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.095029479,0.933 +17843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.744843354,0.933 +17845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.666012743,0.933 +17844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.396041976,0.933 +17846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.495672131,0.933 +17847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.364381016,0.933 +17848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.002633642,0.933 +17849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.365134379,0.933 +17850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.295902826,0.933 +17851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.366876652,0.933 +17852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,9.891300417,0.933 +17853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.537493117,0.933 +17854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.587317237,0.933 +17855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.313006859,0.933 +17856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.673262479,0.933 +17857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.315255782,0.933 +17859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.238036294,0.933 +17858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.028557837,0.933 +17860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.167142902,0.933 +17861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.31428007,0.933 +17864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.526137275,0.933 +17863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.809701538,0.933 +17866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.862570935,0.933 +17862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.559361454,0.933 +17867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.878857772,0.933 +17865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.42029867,0.933 +17868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.313034789,0.933 +17869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.99121437,0.933 +17870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.464401923,0.933 +17873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.34368463,0.933 +17871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.947617524,0.933 +17872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.405819178,0.933 +17874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.424705703,0.933 +17875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.509994978,0.933 +17876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,10.85964134,0.933 +17877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.318931844,0.933 +17878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.567166454,0.933 +17880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.278074225,0.933 +17881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.789413736,0.933 +17882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.301184921,0.933 +17884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.892462205,0.933 +17879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.060071722,0.933 +17883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.88244371,0.933 +17887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.776794035,0.933 +17886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.210422676,0.933 +17885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.06015519,0.933 +17888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.45787035,0.933 +17889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.594471411,0.933 +17890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.70448125,0.933 +17891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.328393121,0.933 +17892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.314165665,0.933 +17893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.610483466,0.933 +17894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.594698208,0.933 +17895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.309265093,0.933 +17896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.394061347,0.933 +17897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.685960466,0.933 +17898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.641551871,0.933 +17899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.232058657,0.933 +17902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.588366167,0.933 +17901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.210191265,0.933 +17903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-1.164548662,0.933 +17900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.923631881,0.933 +17905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.905005995,0.933 +17904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.877921251,0.933 +17907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-1.044653201,0.933 +17906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.649811698,0.933 +17909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.752856844,0.933 +17908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.474815056,0.933 +17910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.65631216,0.933 +17911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.852070903,0.933 +17912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.067836205,0.933 +17914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.111104261,0.933 +17913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.349894678,0.933 +17915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.180802308,0.933 +17916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.210055381,0.933 +17918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,9.921026205,0.933 +17919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.013706439,0.933 +17920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.104020225,0.933 +17917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.259691384,0.933 +17921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.670596534,0.933 +17922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.195177186,0.933 +17923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.847213903,0.933 +17925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.898878435,0.933 +17924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.929361103,0.933 +17926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.552443661,0.933 +17927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.82688618,0.933 +17928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.80534555,0.933 +17929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.338683732,0.933 +17930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.594844596,0.933 +17931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.915219364,0.933 +17933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-2.09611208,0.933 +17934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.488120933,0.933 +17932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.852206018,0.933 +17935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,18.11735051,0.933 +17936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.219383707,0.933 +17937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.85455173,0.933 +17939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.401135343,0.933 +17938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.29995115,0.933 +17940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-1.056323892,0.933 +17943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.015870286,0.933 +17942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.099769851,0.933 +17944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.512072688,0.933 +17941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.724226589,0.933 +17945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.3782256,0.933 +17946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.501547652,0.933 +17947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.7800584,0.933 +17948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.061925569,0.933 +17950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,9.388772457,0.933 +17951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.112012461,0.933 +17949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,9.822577757,0.933 +17953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.670417029,0.933 +17954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-0.552036651,0.933 +17955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.99714798,0.933 +17956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.016332077,0.933 +17957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.532647501,0.933 +17958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.469749146,0.933 +17959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.117326786,0.933 +17952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.451838292,0.933 +17961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.780744901,0.933 +17960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.545606769,0.933 +17962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.712038025,0.933 +17965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.808227441,0.933 +17963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.522247064,0.933 +17964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.099266893,0.933 +17966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.603207404,0.933 +17968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.761074844,0.933 +17969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.176275274,0.933 +17967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.081012022,0.933 +17970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.977336909,0.933 +17972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.544215496,0.933 +17971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.076263284,0.933 +17973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.931879557,0.933 +17974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.66381724,0.933 +17975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,8.25618279,0.933 +17977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,13.11347511,0.933 +17978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.713963118,0.933 +17976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.070249496,0.933 +17980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,10.16549235,0.933 +17979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,7.165022038,0.933 +17981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.374858324,0.933 +17982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.861348736,0.933 +17984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.12581915,0.933 +17983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.355625618,0.933 +17985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.899855012,0.933 +17987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.920734468,0.933 +17986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,4.349619485,0.933 +17988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.078964699,0.933 +17989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,0.763045325,0.933 +17990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.678733371,0.933 +17991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,11.8099293,0.933 +17992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.554027005,0.933 +17993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.823686627,0.933 +17996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,5.114135706,0.933 +17994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.535040514,0.933 +17995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,1.447879243,0.933 +17999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,-2.743011183,0.933 +17997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,3.858247287,0.933 +17998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,2.697644397,0.933 +18000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,8,1,6.280954054,0.933 +27001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.117860172,0.988 +27002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.061061546,0.988 +27003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.158547382,0.988 +27005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.219221241,0.988 +27004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,-0.081243834,0.988 +27006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.954519823,0.988 +27007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.100306666,0.988 +27008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.588720639,0.988 +27009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.050087978,0.988 +27010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.664196567,0.988 +27011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.397329535,0.988 +27012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.8224195,0.988 +27013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.647108303,0.988 +27014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,12.39608358,0.988 +27015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.618478772,0.988 +27016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.781866208,0.988 +27017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.794936555,0.988 +27018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.415084525,0.988 +27019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.648235446,0.988 +27020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.721017672,0.988 +27024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,10.91608338,0.988 +27022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.524204493,0.988 +27023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,10.02644583,0.988 +27021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.673500771,0.988 +27028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.107579222,0.988 +27026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.828538767,0.988 +27025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.803726434,0.988 +27027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.523013513,0.988 +27029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.614718593,0.988 +27030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.156395313,0.988 +27031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.967441108,0.988 +27032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,9.179015378,0.988 +27033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.170169468,0.988 +27035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,-0.30334838,0.988 +27034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.34488415,0.988 +27036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.576197581,0.988 +27038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.071534288,0.988 +27039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,-2.0751083,0.988 +27040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.11617114,0.988 +27037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.614078402,0.988 +27044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.289193154,0.988 +27041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.593090561,0.988 +27042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.386694013,0.988 +27043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.920600812,0.988 +27046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.49331396,0.988 +27045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.353435359,0.988 +27047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.222047246,0.988 +27048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,-0.404735183,0.988 +27049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,11.17753668,0.988 +27050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.158349708,0.988 +27051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.828966077,0.988 +27052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.750056229,0.988 +27053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.933560288,0.988 +27056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.300662623,0.988 +27055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.840543131,0.988 +27054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,11.75125367,0.988 +27057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.101032493,0.988 +27060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.906104179,0.988 +27058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.287455657,0.988 +27061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.925817415,0.988 +27059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.09898579,0.988 +27062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.316728378,0.988 +27063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.558870785,0.988 +27064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.023897137,0.988 +27066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.695293411,0.988 +27067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.679936338,0.988 +27068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.388691973,0.988 +27070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.703519274,0.988 +27065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.458851278,0.988 +27069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.255154686,0.988 +27071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.735029211,0.988 +27073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.08273933,0.988 +27072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.266848077,0.988 +27074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.184760371,0.988 +27075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.515853057,0.988 +27076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.735292256,0.988 +27077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.494792161,0.988 +27078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.705450033,0.988 +27079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.082704798,0.988 +27081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.915509243,0.988 +27082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.610343246,0.988 +27083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.878189123,0.988 +27085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.243145731,0.988 +27080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.771105425,0.988 +27084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.512710522,0.988 +27086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.580557011,0.988 +27088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.912133677,0.988 +27087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.281602559,0.988 +27089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.337798566,0.988 +27090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.507141331,0.988 +27091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.790226812,0.988 +27092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.834528377,0.988 +27093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.733638233,0.988 +27094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.143808427,0.988 +27097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,10.33791332,0.988 +27096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.901684201,0.988 +27098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.797335357,0.988 +27100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.500941392,0.988 +27099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.600593305,0.988 +27101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.669179801,0.988 +27095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.539127282,0.988 +27102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.623310374,0.988 +27104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.381611481,0.988 +27105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.841961306,0.988 +27103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.844615246,0.988 +27106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.794636863,0.988 +27109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.711921051,0.988 +27107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.558944203,0.988 +27108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.336093316,0.988 +27112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.384664319,0.988 +27110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.591934443,0.988 +27111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,10.8011371,0.988 +27113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.951347903,0.988 +27114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.740589637,0.988 +27115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.784329475,0.988 +27116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.689396907,0.988 +27119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.366995865,0.988 +27118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.445567439,0.988 +27120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.876034047,0.988 +27117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.015429666,0.988 +27122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.506091291,0.988 +27123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.734329457,0.988 +27124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.445673675,0.988 +27121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.471054152,0.988 +27125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.449753982,0.988 +27126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.942414024,0.988 +27127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.687630726,0.988 +27129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.262951975,0.988 +27128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.276931674,0.988 +27130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.395740501,0.988 +27131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.748811957,0.988 +27133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.421862119,0.988 +27132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.189423323,0.988 +27134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.341651042,0.988 +27136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.352991104,0.988 +27135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.948032948,0.988 +27137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.596410138,0.988 +27138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,-0.607723051,0.988 +27140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.326508633,0.988 +27141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.054575447,0.988 +27142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.016291481,0.988 +27139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.995943795,0.988 +27143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.942622389,0.988 +27144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.085644941,0.988 +27145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.604315383,0.988 +27146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.552722659,0.988 +27150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.800235054,0.988 +27149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.621191713,0.988 +27148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.137344953,0.988 +27147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.511859386,0.988 +27151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.36106109,0.988 +27152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.194574175,0.988 +27153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.262877994,0.988 +27154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.288545875,0.988 +27156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.541435043,0.988 +27157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.244876056,0.988 +27158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.214049104,0.988 +27159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,9.395411568,0.988 +27155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.144934398,0.988 +27160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.076172237,0.988 +27161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.648926901,0.988 +27162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.89131829,0.988 +27163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.708584699,0.988 +27165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.016367878,0.988 +27167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.443913012,0.988 +27166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.131995941,0.988 +27164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.075174465,0.988 +27169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.975522599,0.988 +27168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.9231197,0.988 +27170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.062673443,0.988 +27171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.655480593,0.988 +27172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.63963686,0.988 +27173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.139069441,0.988 +27174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.588239921,0.988 +27175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.204192339,0.988 +27178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.084464867,0.988 +27176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.194565432,0.988 +27179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.189614243,0.988 +27177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.101233448,0.988 +27180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.934285383,0.988 +27181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.885055059,0.988 +27183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.631496916,0.988 +27184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.33899175,0.988 +27182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.949498789,0.988 +27185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.333980272,0.988 +27186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.559138631,0.988 +27187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.951951258,0.988 +27189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.710176597,0.988 +27190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.052021157,0.988 +27188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.856451422,0.988 +27191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,9.934707442,0.988 +27192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.60122402,0.988 +27194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,11.31123408,0.988 +27195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.945833502,0.988 +27193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.78958392,0.988 +27197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.572108164,0.988 +27196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.436483164,0.988 +27198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.119614558,0.988 +27199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.046942959,0.988 +27201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.612651278,0.988 +27202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,9.362568643,0.988 +27203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.880969824,0.988 +27200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,11.60888758,0.988 +27205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.100748943,0.988 +27204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.101274489,0.988 +27206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.090158767,0.988 +27207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.567502021,0.988 +27208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.361077235,0.988 +27209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,9.027430777,0.988 +27210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.685844032,0.988 +27211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.501308799,0.988 +27212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.133105927,0.988 +27213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.378525969,0.988 +27215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.174922227,0.988 +27214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.761898492,0.988 +27216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,11.48443551,0.988 +27218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.822083215,0.988 +27217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.377770876,0.988 +27220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.799593174,0.988 +27221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.282711253,0.988 +27219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.440287018,0.988 +27222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.396116201,0.988 +27223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.091324943,0.988 +27225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,-0.204980883,0.988 +27224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.299734758,0.988 +27227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.239652851,0.988 +27226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.781540776,0.988 +27228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,9.077806318,0.988 +27229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.258447411,0.988 +27230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.731730601,0.988 +27231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.203642302,0.988 +27232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.595934674,0.988 +27234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.358844461,0.988 +27233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.160561823,0.988 +27235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.677068114,0.988 +27237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.307195538,0.988 +27238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,10.50188442,0.988 +27236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.572936701,0.988 +27239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.086932908,0.988 +27240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.304348037,0.988 +27242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.032285422,0.988 +27241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.722139857,0.988 +27244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.808640111,0.988 +27245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.959993662,0.988 +27246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,9.978131175,0.988 +27247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.842358142,0.988 +27248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.081494919,0.988 +27249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.254305863,0.988 +27243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.752552532,0.988 +27250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.119875613,0.988 +27251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.639816469,0.988 +27252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.486725669,0.988 +27253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.392473345,0.988 +27255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.369787215,0.988 +27254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.137741869,0.988 +27256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.670991481,0.988 +27257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.745296664,0.988 +27258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.53540552,0.988 +27259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.441378332,0.988 +27260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.029755235,0.988 +27262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.223750111,0.988 +27263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.332030533,0.988 +27264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.591596689,0.988 +27266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.941724937,0.988 +27265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.938080987,0.988 +27261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.262075755,0.988 +27267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.134279642,0.988 +27268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.927148817,0.988 +27270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.425908643,0.988 +27269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.163842173,0.988 +27271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.067071794,0.988 +27274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.26606291,0.988 +27273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.045421705,0.988 +27272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.386866396,0.988 +27275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.750702848,0.988 +27276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,11.70604488,0.988 +27278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.294986824,0.988 +27277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.151535431,0.988 +27279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.078007259,0.988 +27280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.796596277,0.988 +27281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.27700985,0.988 +27283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.507990877,0.988 +27284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.849826365,0.988 +27282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.717367054,0.988 +27285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.270823952,0.988 +27286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.414371619,0.988 +27287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.551806107,0.988 +27288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.523037626,0.988 +27289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.847075801,0.988 +27290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.046373253,0.988 +27291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.627986264,0.988 +27292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,9.250750456,0.988 +27293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.788463316,0.988 +27294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.82912965,0.988 +27295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.02114373,0.988 +27297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.323084592,0.988 +27296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.801698467,0.988 +27298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.753356976,0.988 +27300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,9.7233374,0.988 +27299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.4210939,0.988 +27302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.163437215,0.988 +27301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.913819667,0.988 +27303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.532274968,0.988 +27304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.604373501,0.988 +27305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.866443586,0.988 +27306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.764875896,0.988 +27308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.069895198,0.988 +27307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.428834997,0.988 +27309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.814690036,0.988 +27310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.182247728,0.988 +27311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.693165915,0.988 +27312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.017900655,0.988 +27313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.443446747,0.988 +27315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.495252186,0.988 +27314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.598525497,0.988 +27316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.539486068,0.988 +27317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.292456729,0.988 +27318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.497879463,0.988 +27320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.797579977,0.988 +27319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.488574782,0.988 +27321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.362366808,0.988 +27322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.036600166,0.988 +27323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.405081892,0.988 +27325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.96260222,0.988 +27324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.402807437,0.988 +27326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.158592751,0.988 +27327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.090768783,0.988 +27328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.938495114,0.988 +27330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.637316211,0.988 +27329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.490977865,0.988 +27331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.993814271,0.988 +27332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,9.464135377,0.988 +27333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.970628807,0.988 +27335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,9.920721093,0.988 +27337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.096555976,0.988 +27336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.732377167,0.988 +27338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.155334313,0.988 +27334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.122474241,0.988 +27339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.6815789,0.988 +27340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.33501005,0.988 +27341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.932801222,0.988 +27343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.346757568,0.988 +27344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.75731072,0.988 +27342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.88504878,0.988 +27345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.023044639,0.988 +27346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.298466421,0.988 +27347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.293570361,0.988 +27348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.584537163,0.988 +27349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.276895352,0.988 +27350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.589630077,0.988 +27351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.497208474,0.988 +27353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.923080091,0.988 +27354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.074966864,0.988 +27352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.551363868,0.988 +27355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.603730584,0.988 +27357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.537218201,0.988 +27356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.260999652,0.988 +27359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.637856968,0.988 +27360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.782528984,0.988 +27361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.681493724,0.988 +27358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.31689332,0.988 +27362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.613066401,0.988 +27364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.791299712,0.988 +27363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.020056733,0.988 +27365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.397573785,0.988 +27367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.615706703,0.988 +27366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.365350145,0.988 +27368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,11.62006259,0.988 +27369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.181120666,0.988 +27371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.193611928,0.988 +27370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.646002331,0.988 +27372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.988124976,0.988 +27373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.935672394,0.988 +27374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.617616824,0.988 +27375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.608321338,0.988 +27376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.558476446,0.988 +27377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.001396223,0.988 +27379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.068537058,0.988 +27380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.200165991,0.988 +27378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.425011485,0.988 +27382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.921534473,0.988 +27384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.1138099,0.988 +27381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.998108766,0.988 +27383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,11.13586679,0.988 +27386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.372593229,0.988 +27385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.973297525,0.988 +27388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.30410566,0.988 +27387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.583737074,0.988 +27389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.62149449,0.988 +27390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.381367191,0.988 +27392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.718876593,0.988 +27391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,-0.464027026,0.988 +27393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.231992743,0.988 +27395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.530996499,0.988 +27396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.113582728,0.988 +27394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.521909301,0.988 +27397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.274417312,0.988 +27400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.812222642,0.988 +27398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.205437728,0.988 +27399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.283739657,0.988 +27401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.533625042,0.988 +27402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.301167463,0.988 +27403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.258648947,0.988 +27404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.393856686,0.988 +27405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.139104239,0.988 +27406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.758189497,0.988 +27407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.774919256,0.988 +27408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.047185757,0.988 +27410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.67015647,0.988 +27409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.900084062,0.988 +27411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.31822648,0.988 +27412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.463236562,0.988 +27414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.416213462,0.988 +27413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.645454736,0.988 +27415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.357527056,0.988 +27416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.25207637,0.988 +27418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.232382528,0.988 +27417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.131720766,0.988 +27419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.120283889,0.988 +27420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.304893938,0.988 +27422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.058866239,0.988 +27421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.294846743,0.988 +27423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.353696715,0.988 +27424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.213977729,0.988 +27425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.084917433,0.988 +27426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.166411184,0.988 +27428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.746828988,0.988 +27429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.343930599,0.988 +27430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.190436562,0.988 +27427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.705604409,0.988 +27432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.145018211,0.988 +27433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.578753513,0.988 +27431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.10204284,0.988 +27434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.731930118,0.988 +27435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.901073691,0.988 +27436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.982284659,0.988 +27438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.35569487,0.988 +27440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.33493616,0.988 +27437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.740129698,0.988 +27441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.860534683,0.988 +27439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.717077234,0.988 +27443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.797568559,0.988 +27442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.406825091,0.988 +27445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.473624718,0.988 +27444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.433495303,0.988 +27446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.594224387,0.988 +27448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.157956793,0.988 +27447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.527383982,0.988 +27449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.390234279,0.988 +27450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.480179936,0.988 +27451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.885462028,0.988 +27453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.503290247,0.988 +27454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.666155267,0.988 +27455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.196013443,0.988 +27452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.539680057,0.988 +27456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.744029497,0.988 +27457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,9.410491888,0.988 +27459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.470038476,0.988 +27460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.750711102,0.988 +27458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.997722724,0.988 +27461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.910355021,0.988 +27462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.833528683,0.988 +27464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.908218409,0.988 +27465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.652445452,0.988 +27467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,13.26603891,0.988 +27463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.999935849,0.988 +27468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.199565537,0.988 +27469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.768705611,0.988 +27470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.91189796,0.988 +27466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.894457926,0.988 +27473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.90316921,0.988 +27472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.454700113,0.988 +27471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.594468432,0.988 +27474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.967705875,0.988 +27475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.231323391,0.988 +27476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.999377778,0.988 +27477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.727391195,0.988 +27478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.539063182,0.988 +27480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.604315444,0.988 +27481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.672626534,0.988 +27479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.157229889,0.988 +27483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.206543326,0.988 +27484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.639232432,0.988 +27485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.918637843,0.988 +27482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.882671113,0.988 +27488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.193703086,0.988 +27486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.16601495,0.988 +27487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.773570725,0.988 +27489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.746749135,0.988 +27490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.520990417,0.988 +27491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.539243397,0.988 +27492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.457411348,0.988 +27493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.078714538,0.988 +27495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.252745951,0.988 +27496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.079511654,0.988 +27498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.640603111,0.988 +27497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.471022768,0.988 +27494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.161535524,0.988 +27499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.148477892,0.988 +27502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.09742685,0.988 +27500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.637743788,0.988 +27501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.493704839,0.988 +27503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.414420063,0.988 +27504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.558491511,0.988 +27505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.236440688,0.988 +27506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.945398783,0.988 +27507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.858555216,0.988 +27508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.99774145,0.988 +27509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.75922644,0.988 +27511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.326998798,0.988 +27510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.422419221,0.988 +27513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.304808032,0.988 +27512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.830148515,0.988 +27514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.420886491,0.988 +27515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.450354797,0.988 +27516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.140846067,0.988 +27517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.056878596,0.988 +27518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.999074587,0.988 +27519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.597455072,0.988 +27521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.73070915,0.988 +27520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.526648078,0.988 +27522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.713212712,0.988 +27523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.730509198,0.988 +27524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,-0.09869787,0.988 +27525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.657885832,0.988 +27526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.383485064,0.988 +27527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.957961589,0.988 +27529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.135648567,0.988 +27530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.774793931,0.988 +27528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.033920794,0.988 +27532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.869906312,0.988 +27531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.854376609,0.988 +27533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.81755014,0.988 +27534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.409038743,0.988 +27535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.79936718,0.988 +27537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.153121108,0.988 +27536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.71173073,0.988 +27538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,9.798601271,0.988 +27539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.368746521,0.988 +27540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.239786932,0.988 +27541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.265488589,0.988 +27542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.938718702,0.988 +27543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.798029415,0.988 +27544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.594787872,0.988 +27545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.747315982,0.988 +27546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.642537358,0.988 +27547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.120644165,0.988 +27549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,9.607835391,0.988 +27548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.676256098,0.988 +27551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.872385989,0.988 +27552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.327915105,0.988 +27553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.745734162,0.988 +27550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.192038937,0.988 +27554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.859472909,0.988 +27555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,10.77853638,0.988 +27556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.849009229,0.988 +27558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.548231355,0.988 +27559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.22042294,0.988 +27557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.299886475,0.988 +27560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.830497474,0.988 +27561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.155978423,0.988 +27563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.857725166,0.988 +27562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.235331284,0.988 +27565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.669721723,0.988 +27564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.17101869,0.988 +27567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.358341347,0.988 +27566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.25930967,0.988 +27568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.564625652,0.988 +27569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.666539436,0.988 +27570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.130115636,0.988 +27572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.522241185,0.988 +27573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,13.87772617,0.988 +27574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.778190053,0.988 +27576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.435091376,0.988 +27575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.371297251,0.988 +27571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.945426308,0.988 +27577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.990875336,0.988 +27578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.752551595,0.988 +27580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.951560307,0.988 +27579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.693568727,0.988 +27581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,11.61708991,0.988 +27582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.611084837,0.988 +27584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.231403834,0.988 +27583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.825868963,0.988 +27585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.379891946,0.988 +27586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.697650341,0.988 +27587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.729232539,0.988 +27588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.344852335,0.988 +27589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.765555779,0.988 +27590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.469191972,0.988 +27591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.94595507,0.988 +27593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.681701289,0.988 +27594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.863605674,0.988 +27592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.624017826,0.988 +27595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.858797619,0.988 +27596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.993609374,0.988 +27597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.242455892,0.988 +27598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.292459097,0.988 +27599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,10.51012195,0.988 +27600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.672776215,0.988 +27601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.822812013,0.988 +27602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.311437716,0.988 +27603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.165247701,0.988 +27604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.325166549,0.988 +27605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.813397899,0.988 +27607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.120267503,0.988 +27608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.333168324,0.988 +27606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.83863097,0.988 +27609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.000244188,0.988 +27610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.231672398,0.988 +27611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,9.466513406,0.988 +27612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.358762422,0.988 +27613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.697078371,0.988 +27614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.658368336,0.988 +27615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.577513995,0.988 +27616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.498771752,0.988 +27617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.923691099,0.988 +27619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.257483482,0.988 +27618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.007528547,0.988 +27621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.08752945,0.988 +27620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.644106771,0.988 +27622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.066838535,0.988 +27623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.518544293,0.988 +27624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.894932932,0.988 +27625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.124229692,0.988 +27626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.138060179,0.988 +27627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.518571731,0.988 +27628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.130172241,0.988 +27630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.745417997,0.988 +27631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.25400757,0.988 +27629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.207184828,0.988 +27632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.98954443,0.988 +27633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.249173617,0.988 +27634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.989340112,0.988 +27635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.16622488,0.988 +27636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.15798328,0.988 +27637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.839951982,0.988 +27638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,10.08153087,0.988 +27639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.058211117,0.988 +27640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.946287746,0.988 +27641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.832746301,0.988 +27642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.825708597,0.988 +27644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.538474601,0.988 +27646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.534327842,0.988 +27645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.532044047,0.988 +27643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,10.041013,0.988 +27647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.01587599,0.988 +27648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.070889361,0.988 +27649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.392701879,0.988 +27650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.891492443,0.988 +27651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.793398408,0.988 +27652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.099375747,0.988 +27653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.802319519,0.988 +27654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.001999031,0.988 +27655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.681529221,0.988 +27656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.121911125,0.988 +27657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.795352321,0.988 +27659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.860289084,0.988 +27660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.659110978,0.988 +27661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.994326372,0.988 +27658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.835267471,0.988 +27662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.660135627,0.988 +27663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.899824517,0.988 +27664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.903501881,0.988 +27665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.913829189,0.988 +27666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.294936046,0.988 +27668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.738270355,0.988 +27667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.366011919,0.988 +27670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.057899376,0.988 +27669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.347289354,0.988 +27671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.799724412,0.988 +27672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,-0.218732287,0.988 +27674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.915214016,0.988 +27673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,14.12063145,0.988 +27675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.96136089,0.988 +27676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.842154983,0.988 +27678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.652088099,0.988 +27679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.982976891,0.988 +27680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.116535928,0.988 +27681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.510421891,0.988 +27682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.426600742,0.988 +27683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.484416778,0.988 +27677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.045035222,0.988 +27684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.67687895,0.988 +27685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.96745469,0.988 +27686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.954493241,0.988 +27687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.635955835,0.988 +27688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,12.67638417,0.988 +27689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.324271973,0.988 +27690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.503699909,0.988 +27691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.342117449,0.988 +27692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,9.462836615,0.988 +27693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.75275276,0.988 +27694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.788493959,0.988 +27696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.685889921,0.988 +27695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.533494112,0.988 +27697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,10.18422078,0.988 +27698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.025432573,0.988 +27699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.28661749,0.988 +27701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.130825405,0.988 +27702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.271243122,0.988 +27703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.003235826,0.988 +27700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.271724823,0.988 +27704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.602820177,0.988 +27705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.861385145,0.988 +27706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.153507085,0.988 +27707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.084593367,0.988 +27708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.714444371,0.988 +27709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.001658969,0.988 +27712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.912628437,0.988 +27710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.590169891,0.988 +27711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.496095784,0.988 +27713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.869204705,0.988 +27714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.221085985,0.988 +27715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.869088485,0.988 +27717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.353389688,0.988 +27716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.042090124,0.988 +27718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.489616716,0.988 +27719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.890611749,0.988 +27720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.880340567,0.988 +27722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.973332513,0.988 +27721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.197675381,0.988 +27723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.91282084,0.988 +27725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.142223943,0.988 +27724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.063105422,0.988 +27726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.401126182,0.988 +27727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,11.32706512,0.988 +27729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.919732479,0.988 +27728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.810733865,0.988 +27731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.665729758,0.988 +27730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.607985169,0.988 +27733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.402200302,0.988 +27734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.157329271,0.988 +27732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.828844741,0.988 +27736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.536053128,0.988 +27737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.17964526,0.988 +27735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.792250234,0.988 +27739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.714220593,0.988 +27738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.128190834,0.988 +27740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.48071922,0.988 +27742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.155405103,0.988 +27743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.150950626,0.988 +27741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.488234258,0.988 +27744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.403096106,0.988 +27746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.171824893,0.988 +27745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.486115804,0.988 +27748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.351724094,0.988 +27747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.423304003,0.988 +27750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.664796629,0.988 +27751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.330045585,0.988 +27749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.204161138,0.988 +27753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.861423827,0.988 +27754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.147942953,0.988 +27755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.936179943,0.988 +27752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.120744417,0.988 +27756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.582600082,0.988 +27757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.568993585,0.988 +27758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.10869418,0.988 +27760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.176706399,0.988 +27759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.486432828,0.988 +27762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.887683553,0.988 +27761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.230391527,0.988 +27765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.185937528,0.988 +27764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.385327808,0.988 +27763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.67477187,0.988 +27766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.966439285,0.988 +27768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.766560663,0.988 +27769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.799443143,0.988 +27770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.703038876,0.988 +27767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.089064388,0.988 +27772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.132355938,0.988 +27773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.888495678,0.988 +27774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.876836136,0.988 +27775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.120119214,0.988 +27771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.026821728,0.988 +27777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.185777625,0.988 +27776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.347565227,0.988 +27779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.216292219,0.988 +27778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.54434345,0.988 +27780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.715691283,0.988 +27781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.427034506,0.988 +27783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.429875469,0.988 +27782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.077014352,0.988 +27786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.181290622,0.988 +27787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.914817818,0.988 +27784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.099062163,0.988 +27785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.619005798,0.988 +27788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.279974151,0.988 +27789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.393416186,0.988 +27790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.644623683,0.988 +27794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.025029477,0.988 +27793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.244735902,0.988 +27792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.886533198,0.988 +27791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.528723646,0.988 +27795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.875227756,0.988 +27796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.639182684,0.988 +27797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.242000554,0.988 +27798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.787091356,0.988 +27800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.899715088,0.988 +27801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.912240854,0.988 +27799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.079160012,0.988 +27802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.376188125,0.988 +27803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.103978074,0.988 +27804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.556797081,0.988 +27805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.355746189,0.988 +27807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.567920903,0.988 +27808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.61019616,0.988 +27806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.002138252,0.988 +27809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.306981219,0.988 +27810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.865414779,0.988 +27811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.907163898,0.988 +27813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.127316672,0.988 +27812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.340672432,0.988 +27814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.067138861,0.988 +27815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.268970649,0.988 +27818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.482576408,0.988 +27817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.39890577,0.988 +27819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.220794045,0.988 +27816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.377411706,0.988 +27821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.615741338,0.988 +27820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.296985298,0.988 +27822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.03602539,0.988 +27823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.234573858,0.988 +27824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.604287868,0.988 +27825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.235688399,0.988 +27826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.482268232,0.988 +27827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.47974894,0.988 +27828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.714771923,0.988 +27829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.3624491,0.988 +27831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.985615335,0.988 +27830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,9.071601954,0.988 +27833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.425900546,0.988 +27834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.714888428,0.988 +27832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.172347755,0.988 +27835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.696617365,0.988 +27837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.963691984,0.988 +27838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.043231653,0.988 +27836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,10.10302695,0.988 +27839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.680462515,0.988 +27840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.517794058,0.988 +27842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,18.80700535,0.988 +27843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.171982965,0.988 +27844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.428523643,0.988 +27845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.846899695,0.988 +27846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.093868634,0.988 +27847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.684467082,0.988 +27841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.883836711,0.988 +27848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,10.47963258,0.988 +27849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.014979531,0.988 +27850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.651976227,0.988 +27851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.413130224,0.988 +27852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.452938446,0.988 +27855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.726402078,0.988 +27853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.40747395,0.988 +27854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.114465505,0.988 +27858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.729815524,0.988 +27857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.921606575,0.988 +27859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.086031038,0.988 +27856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.97390821,0.988 +27860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,9.901778456,0.988 +27861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.482118309,0.988 +27862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.129896716,0.988 +27865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.722984914,0.988 +27864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.687067892,0.988 +27866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.792898411,0.988 +27863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.867546815,0.988 +27867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.964374275,0.988 +27869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.607677674,0.988 +27870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.185664806,0.988 +27868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.336688254,0.988 +27871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.462987595,0.988 +27872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.09209209,0.988 +27874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.109142818,0.988 +27873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.548688208,0.988 +27875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.965566452,0.988 +27877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.873841411,0.988 +27876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.046713698,0.988 +27879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.260956014,0.988 +27881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.57211738,0.988 +27880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.094325803,0.988 +27882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.936592124,0.988 +27878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.522266569,0.988 +27886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.583442321,0.988 +27883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.079036497,0.988 +27884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.245781025,0.988 +27885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.471209817,0.988 +27888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.968756778,0.988 +27889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.033049086,0.988 +27887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.8272323,0.988 +27890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.620572866,0.988 +27892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.610529433,0.988 +27891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.181019075,0.988 +27893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.501897927,0.988 +27894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.032968596,0.988 +27895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.639550401,0.988 +27896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,11.43434826,0.988 +27898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.237737239,0.988 +27897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.004568275,0.988 +27899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.402608709,0.988 +27900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.032881051,0.988 +27903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.021414754,0.988 +27904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.271421928,0.988 +27902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.770513731,0.988 +27906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.691070127,0.988 +27905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.028436027,0.988 +27901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.870932204,0.988 +27909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,-0.264113084,0.988 +27907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.211287068,0.988 +27910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.026267209,0.988 +27911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.870028221,0.988 +27908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.4570133,0.988 +27913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.323215944,0.988 +27915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.417217786,0.988 +27912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.8531301,0.988 +27916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.597610889,0.988 +27914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.22218162,0.988 +27920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.159875049,0.988 +27918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.143563414,0.988 +27919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.270458948,0.988 +27917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.092100203,0.988 +27921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.969062945,0.988 +27922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,11.18908767,0.988 +27924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.315986313,0.988 +27925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.84736827,0.988 +27926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.704530527,0.988 +27923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.949632253,0.988 +27927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.383096689,0.988 +27930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.174184916,0.988 +27931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.05593018,0.988 +27929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.091902675,0.988 +27928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,9.602541675,0.988 +27932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.488294225,0.988 +27935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.853483074,0.988 +27934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.130414955,0.988 +27936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,-0.359666789,0.988 +27933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.38381705,0.988 +27937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.200027491,0.988 +27938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.637532536,0.988 +27941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.444001297,0.988 +27940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.138268458,0.988 +27942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.980225501,0.988 +27939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.475385673,0.988 +27944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.451633871,0.988 +27946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.87150352,0.988 +27943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.598111567,0.988 +27945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.74282964,0.988 +27947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.214676195,0.988 +27948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.297499144,0.988 +27949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.217372765,0.988 +27950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.980628382,0.988 +27952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.436184372,0.988 +27953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.547443498,0.988 +27954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.752471795,0.988 +27951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,-1.0704977,0.988 +27956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.83869137,0.988 +27957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.66956535,0.988 +27958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.461081624,0.988 +27955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.262689506,0.988 +27959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.338983989,0.988 +27961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.942123647,0.988 +27962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.619672977,0.988 +27960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.319653178,0.988 +27963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.239629673,0.988 +27964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.612728152,0.988 +27965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.60825197,0.988 +27966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.832969853,0.988 +27967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.685193773,0.988 +27969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.70646292,0.988 +27971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.242905954,0.988 +27970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.841341761,0.988 +27968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.131994071,0.988 +27974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.247242874,0.988 +27975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.014841029,0.988 +27973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.631284224,0.988 +27972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.599048712,0.988 +27977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.331105883,0.988 +27976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,7.067267367,0.988 +27978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,10.20544244,0.988 +27979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.666006845,0.988 +27980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,6.368582929,0.988 +27981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.242890682,0.988 +27982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.005019432,0.988 +27983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.015757817,0.988 +27984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.788195208,0.988 +27986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.374717932,0.988 +27987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.727970095,0.988 +27985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.59355201,0.988 +27991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,8.97205132,0.988 +27988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.338099706,0.988 +27990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,5.984760698,0.988 +27989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,4.811769454,0.988 +27993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.363144846,0.988 +27995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.702262817,0.988 +27994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.521245463,0.988 +27992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,1.053266483,0.988 +27996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,0.617229676,0.988 +27998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.639274711,0.988 +27997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.393437696,0.988 +28000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,3.400183463,0.988 +27999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,8,1,2.248290422,0.988 +37001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.554964211,0.996 +37002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.072346246,0.996 +37004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.23641657,0.996 +37005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.287019352,0.996 +37003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.203836912,0.996 +37007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.457349783,0.996 +37008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.472708183,0.996 +37006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.087343361,0.996 +37009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.03604242,0.996 +37011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.764472559,0.996 +37010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.464103599,0.996 +37013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.084874144,0.996 +37012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.188096229,0.996 +37016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.948664706,0.996 +37015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.315030053,0.996 +37014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.146141789,0.996 +37017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,0.644734751,0.996 +37019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.828253595,0.996 +37020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.400544061,0.996 +37021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.939113722,0.996 +37022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.08194849,0.996 +37023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.539205988,0.996 +37018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.941483333,0.996 +37026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.845090368,0.996 +37025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.828116387,0.996 +37027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.446999075,0.996 +37024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,11.34000805,0.996 +37030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.360457568,0.996 +37028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.52664122,0.996 +37029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.487593545,0.996 +37031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.957518363,0.996 +37032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.474956172,0.996 +37034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.052797224,0.996 +37033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.281414907,0.996 +37035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,11.66984839,0.996 +37038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.845587515,0.996 +37037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.837325485,0.996 +37036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,8.474821471,0.996 +37039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.824935553,0.996 +37041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.259963558,0.996 +37040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.645759738,0.996 +37042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.443126567,0.996 +37044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.287526033,0.996 +37046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.007371612,0.996 +37045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.264783723,0.996 +37043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.620748641,0.996 +37047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.850164009,0.996 +37048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,9.419338454,0.996 +37049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.88725656,0.996 +37052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.948663004,0.996 +37050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.361620499,0.996 +37051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.970159215,0.996 +37053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.789605902,0.996 +37056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.585115398,0.996 +37055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.716368956,0.996 +37057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.329469974,0.996 +37058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.99998385,0.996 +37054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,11.58030026,0.996 +37060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.218778502,0.996 +37062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.849658543,0.996 +37061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.230177791,0.996 +37063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.81221834,0.996 +37064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.227538009,0.996 +37065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.24806855,0.996 +37059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.341593916,0.996 +37066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.635317632,0.996 +37067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.77533288,0.996 +37068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,10.22758046,0.996 +37069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.930524448,0.996 +37070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.191849496,0.996 +37073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.733619401,0.996 +37072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.333432912,0.996 +37071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.925234199,0.996 +37074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.905785503,0.996 +37075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.632994934,0.996 +37076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.54841169,0.996 +37078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.602770403,0.996 +37077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.389696195,0.996 +37080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,8.916436174,0.996 +37081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.909227644,0.996 +37082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,0.73552147,0.996 +37083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.992189906,0.996 +37084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.764289631,0.996 +37085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.991109718,0.996 +37079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.416675026,0.996 +37086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.079745583,0.996 +37087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.785953898,0.996 +37089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.330194047,0.996 +37088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.018285165,0.996 +37090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.690610207,0.996 +37091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.312105167,0.996 +37092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.241692402,0.996 +37093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,9.726118671,0.996 +37094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.86335395,0.996 +37096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.012882467,0.996 +37095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.393735197,0.996 +37098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.393537942,0.996 +37097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.861891147,0.996 +37100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.783218869,0.996 +37102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.766869929,0.996 +37101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.403049479,0.996 +37099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.039072693,0.996 +37103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,8.835556385,0.996 +37104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.601246083,0.996 +37105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.947870315,0.996 +37106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.491192713,0.996 +37107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.965676551,0.996 +37108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.016354678,0.996 +37109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.451192808,0.996 +37110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.121482972,0.996 +37112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.404871791,0.996 +37111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.365824189,0.996 +37113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.663705478,0.996 +37114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.130883296,0.996 +37115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.098788204,0.996 +37116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.616179126,0.996 +37117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.457461797,0.996 +37119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.56968871,0.996 +37120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.514611448,0.996 +37121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.319653714,0.996 +37118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.550239035,0.996 +37123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.693854391,0.996 +37122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.24232633,0.996 +37124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.554642304,0.996 +37126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.273459264,0.996 +37127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.820471825,0.996 +37125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.094515958,0.996 +37128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.687829917,0.996 +37130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.450013661,0.996 +37129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,9.754364683,0.996 +37131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.97208025,0.996 +37132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.632118012,0.996 +37133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.010237814,0.996 +37134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.909417956,0.996 +37135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.759866899,0.996 +37136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.266999901,0.996 +37137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,0.649999174,0.996 +37138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.129045265,0.996 +37139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.452230837,0.996 +37140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,0.941517395,0.996 +37141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.185551415,0.996 +37142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.204395964,0.996 +37144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.7425971,0.996 +37143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.303595898,0.996 +37145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.172280458,0.996 +37146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.011835202,0.996 +37147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,8.349065157,0.996 +37149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.635337916,0.996 +37148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.504249542,0.996 +37150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.005113601,0.996 +37151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.299455102,0.996 +37153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.924505602,0.996 +37152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.428352569,0.996 +37154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.972203708,0.996 +37155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.287437226,0.996 +37157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.532895798,0.996 +37156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.785056384,0.996 +37158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,8.030894517,0.996 +37159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.548824496,0.996 +37160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.634711771,0.996 +37161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.836904464,0.996 +37162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.139357873,0.996 +37163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.860146647,0.996 +37164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.774613204,0.996 +37165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,0.527150155,0.996 +37167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.839190692,0.996 +37166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.665676342,0.996 +37168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.281911202,0.996 +37170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.942206309,0.996 +37171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.598362163,0.996 +37172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.182759287,0.996 +37173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.227857557,0.996 +37169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.167700599,0.996 +37174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.064534787,0.996 +37175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.187324557,0.996 +37176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.118714235,0.996 +37178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.058979652,0.996 +37179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.521693983,0.996 +37177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.521638788,0.996 +37180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.915461276,0.996 +37181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.191995027,0.996 +37183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.944932515,0.996 +37182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,8.130983023,0.996 +37184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.877634113,0.996 +37185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.991133121,0.996 +37186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.311984548,0.996 +37187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,9.866035,0.996 +37188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.480435839,0.996 +37189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.413437721,0.996 +37191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.083415284,0.996 +37192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.966030305,0.996 +37193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.334430455,0.996 +37194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.736633861,0.996 +37190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.669625399,0.996 +37195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.606182802,0.996 +37196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.767428001,0.996 +37197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.087090439,0.996 +37198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.568017497,0.996 +37199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.195682264,0.996 +37200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.285982689,0.996 +37201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.607057833,0.996 +37202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.31166055,0.996 +37203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.405341987,0.996 +37204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,9.816141474,0.996 +37206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.465125743,0.996 +37207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.252731612,0.996 +37208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.907003786,0.996 +37209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.530083829,0.996 +37210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.939224377,0.996 +37205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.475260688,0.996 +37212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.442645358,0.996 +37211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.761839609,0.996 +37213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.233012208,0.996 +37214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.604039605,0.996 +37216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.008404997,0.996 +37215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.676966915,0.996 +37217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,0.842518295,0.996 +37218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.831499341,0.996 +37219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.52799683,0.996 +37220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.705236379,0.996 +37221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.75227905,0.996 +37222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,0.65731592,0.996 +37223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.560176946,0.996 +37224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.263959262,0.996 +37225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.957202871,0.996 +37227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,10.02246033,0.996 +37228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,10.01320141,0.996 +37229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.315023468,0.996 +37230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,9.745514949,0.996 +37226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.835848833,0.996 +37232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.285185198,0.996 +37233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.735143086,0.996 +37231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.58276511,0.996 +37234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.938838175,0.996 +37235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.54869403,0.996 +37236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.769343216,0.996 +37237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.907755034,0.996 +37238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,0.789471216,0.996 +37239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.946928615,0.996 +37240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,10.21510659,0.996 +37241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,8.046914736,0.996 +37242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.521950746,0.996 +37244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.175502796,0.996 +37245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.804743161,0.996 +37243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.536076778,0.996 +37247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.286032254,0.996 +37248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.676074985,0.996 +37249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,9.79842223,0.996 +37246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.74447045,0.996 +37251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.930207085,0.996 +37252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,0.966445839,0.996 +37250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.355862865,0.996 +37253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.047797336,0.996 +37254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.959454644,0.996 +37255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.422421405,0.996 +37256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.778727494,0.996 +37257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.836513324,0.996 +37259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.668879329,0.996 +37260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.886481237,0.996 +37258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.582201864,0.996 +37263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.667871561,0.996 +37262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.270790317,0.996 +37264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.147065743,0.996 +37261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.295442051,0.996 +37266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,9.843311619,0.996 +37265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.273904136,0.996 +37267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,10.81666529,0.996 +37268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.524655067,0.996 +37269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.061286394,0.996 +37270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.614305983,0.996 +37271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.58463823,0.996 +37274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.821634598,0.996 +37273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.341845165,0.996 +37272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.504894024,0.996 +37275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,-0.027798388,0.996 +37276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.204388932,0.996 +37277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.483091137,0.996 +37278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.072055208,0.996 +37279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.995426109,0.996 +37280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.32412535,0.996 +37281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.745300793,0.996 +37283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.130057233,0.996 +37284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,0.96423587,0.996 +37285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,0.97357076,0.996 +37286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.72477915,0.996 +37282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,10.38792024,0.996 +37287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,8.116941438,0.996 +37288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.939025605,0.996 +37289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,14.37876981,0.996 +37290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.118934041,0.996 +37291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.039946026,0.996 +37292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.620160693,0.996 +37293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.138923755,0.996 +37295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.650314073,0.996 +37294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.161442502,0.996 +37297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.246153931,0.996 +37296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.204325039,0.996 +37298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.308754181,0.996 +37299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.783759295,0.996 +37300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.253205996,0.996 +37301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.823686455,0.996 +37302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.232955681,0.996 +37305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.887170901,0.996 +37304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.871163597,0.996 +37303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.123400757,0.996 +37306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.087987672,0.996 +37307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.633041964,0.996 +37308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,9.693833194,0.996 +37309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.690093528,0.996 +37310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.754594983,0.996 +37311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.959501655,0.996 +37312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.020741248,0.996 +37313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.452258547,0.996 +37314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,9.909013043,0.996 +37315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.763364181,0.996 +37316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.510044064,0.996 +37318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.370558492,0.996 +37317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.910228718,0.996 +37319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.942239797,0.996 +37320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.997617195,0.996 +37321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.58349634,0.996 +37323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.944017073,0.996 +37322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.355161489,0.996 +37325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.04864477,0.996 +37324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.017223636,0.996 +37326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,8.168727311,0.996 +37327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.641867652,0.996 +37328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,9.042990935,0.996 +37329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.401636911,0.996 +37330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.534559335,0.996 +37333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.890213956,0.996 +37332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,9.91195939,0.996 +37331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,10.93977062,0.996 +37335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.39199593,0.996 +37334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.319270144,0.996 +37336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.565229333,0.996 +37338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.224340446,0.996 +37337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.580482155,0.996 +37339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.535561939,0.996 +37340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.829071465,0.996 +37341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.765780831,0.996 +37342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.23493608,0.996 +37343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,0.701978448,0.996 +37344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.99342175,0.996 +37345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,9.409401551,0.996 +37346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,9.587693412,0.996 +37348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.972518605,0.996 +37347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.956778398,0.996 +37349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.251479651,0.996 +37351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.849776171,0.996 +37350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.574740313,0.996 +37353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.890778318,0.996 +37352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,-0.661914019,0.996 +37354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.06583971,0.996 +37355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.556517708,0.996 +37356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.463017652,0.996 +37358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,9.115309006,0.996 +37357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,0.981921135,0.996 +37359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.727061065,0.996 +37360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.793848491,0.996 +37361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.422602136,0.996 +37363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,8.631015307,0.996 +37362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,0.588467111,0.996 +37364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.469027702,0.996 +37367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.342806627,0.996 +37365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,9.025909389,0.996 +37366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.635749577,0.996 +37368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.248426262,0.996 +37370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.466528396,0.996 +37371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.316087212,0.996 +37372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.06615278,0.996 +37369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.321126917,0.996 +37373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.232228674,0.996 +37375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.995282527,0.996 +37374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.136215581,0.996 +37377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.814565411,0.996 +37376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.232390326,0.996 +37379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.880111185,0.996 +37381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.450621483,0.996 +37378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.01877678,0.996 +37380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.867952384,0.996 +37383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.207100163,0.996 +37382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.647340124,0.996 +37384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.15785552,0.996 +37385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.256459147,0.996 +37388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.553078731,0.996 +37386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.310196283,0.996 +37387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.326309354,0.996 +37389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.135892938,0.996 +37390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.837489854,0.996 +37392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.905763895,0.996 +37393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.479454453,0.996 +37394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.405851454,0.996 +37391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.748533133,0.996 +37396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.669701889,0.996 +37395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.308176971,0.996 +37397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.562984699,0.996 +37398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.178923815,0.996 +37399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,0.958075544,0.996 +37401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.34518511,0.996 +37400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.209759779,0.996 +37402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.715233408,0.996 +37403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.918033402,0.996 +37404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.094796861,0.996 +37405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.582712045,0.996 +37406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.345535932,0.996 +37407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.777531917,0.996 +37408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,12.6733619,0.996 +37409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.919428109,0.996 +37411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,0.51929154,0.996 +37412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.467276,0.996 +37410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.425704475,0.996 +37413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.373645821,0.996 +37414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.190761249,0.996 +37415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.614357463,0.996 +37416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.483188629,0.996 +37417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.210684297,0.996 +37418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.927452952,0.996 +37419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.997641435,0.996 +37420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.329444783,0.996 +37422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.618357731,0.996 +37421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.414461946,0.996 +37423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.574926888,0.996 +37424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,10.71062268,0.996 +37425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.771532496,0.996 +37426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.120849862,0.996 +37428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.545521228,0.996 +37427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.623500619,0.996 +37430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.167428695,0.996 +37432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.66159662,0.996 +37431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.573920724,0.996 +37433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.359501401,0.996 +37429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.871416057,0.996 +37434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.682844669,0.996 +37435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.596892605,0.996 +37436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.507481902,0.996 +37438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.498206445,0.996 +37439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.46218676,0.996 +37437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.641887471,0.996 +37443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.478566425,0.996 +37440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.330886246,0.996 +37441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.10103556,0.996 +37442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,8.4619798,0.996 +37444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.959035342,0.996 +37445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.937807115,0.996 +37446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.715244199,0.996 +37447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.881148811,0.996 +37450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.895557036,0.996 +37449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.960946925,0.996 +37451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,0.933669379,0.996 +37448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.462838334,0.996 +37452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.215524422,0.996 +37453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.822919264,0.996 +37454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,9.130404785,0.996 +37456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.436723891,0.996 +37457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.558546126,0.996 +37455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.298226661,0.996 +37458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.705100373,0.996 +37460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.793520714,0.996 +37459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.746533945,0.996 +37461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.442589695,0.996 +37462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.098868336,0.996 +37463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.563468523,0.996 +37464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.09214581,0.996 +37466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.805990044,0.996 +37467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,9.277840139,0.996 +37468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.746626452,0.996 +37465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.309190265,0.996 +37469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.999231867,0.996 +37471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.172103935,0.996 +37470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.026838032,0.996 +37472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.383714406,0.996 +37474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.086617109,0.996 +37473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.680910406,0.996 +37475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.177707958,0.996 +37476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,8.171521771,0.996 +37477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.302733809,0.996 +37478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.087063068,0.996 +37479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,0.159233373,0.996 +37480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.426950152,0.996 +37481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.817407887,0.996 +37482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.059301885,0.996 +37483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.094072864,0.996 +37485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.306990264,0.996 +37486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.98935846,0.996 +37487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.336985356,0.996 +37484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,10.22706496,0.996 +37489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.574129391,0.996 +37488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.007399247,0.996 +37490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.804160979,0.996 +37491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.885890893,0.996 +37492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.205315266,0.996 +37493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,0.31566375,0.996 +37494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.784456432,0.996 +37495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.202989429,0.996 +37496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.032003905,0.996 +37497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.542854046,0.996 +37498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.084697057,0.996 +37500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.710557091,0.996 +37499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.02360768,0.996 +37502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.625358041,0.996 +37501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.186120914,0.996 +37503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.125724956,0.996 +37504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.465939413,0.996 +37505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.987342483,0.996 +37506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.661091514,0.996 +37507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.083742474,0.996 +37508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.905775274,0.996 +37510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.002406025,0.996 +37511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.428634448,0.996 +37509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.972278188,0.996 +37513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.923254096,0.996 +37514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.91992552,0.996 +37512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.447731619,0.996 +37515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.312051451,0.996 +37516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.813246005,0.996 +37518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.386941179,0.996 +37517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.338507219,0.996 +37520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.544376685,0.996 +37519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,10.01369226,0.996 +37521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.327462438,0.996 +37522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.307171709,0.996 +37523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,8.361250682,0.996 +37524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.317260285,0.996 +37525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.772920431,0.996 +37526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.557358272,0.996 +37527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.790964948,0.996 +37529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.867783377,0.996 +37530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.46797216,0.996 +37531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.411956911,0.996 +37532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.533574177,0.996 +37528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.455066335,0.996 +37533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.771574603,0.996 +37534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.892032103,0.996 +37536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.23051638,0.996 +37535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.221880228,0.996 +37537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.420874689,0.996 +37539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,12.62600574,0.996 +37538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.647667218,0.996 +37542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.956768463,0.996 +37541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.325365677,0.996 +37540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.712915019,0.996 +37543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.721422312,0.996 +37545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,9.096712548,0.996 +37546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.414421847,0.996 +37547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.148925136,0.996 +37548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.424566078,0.996 +37544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.401723957,0.996 +37549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.626141062,0.996 +37550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.854004836,0.996 +37551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.94255811,0.996 +37552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.167881683,0.996 +37553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,10.85418645,0.996 +37554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,11.27772605,0.996 +37555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.826026264,0.996 +37556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.118211127,0.996 +37558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.688794835,0.996 +37557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.427558366,0.996 +37559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.606809418,0.996 +37560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.627962397,0.996 +37561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.813865058,0.996 +37562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.558527074,0.996 +37563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.258097854,0.996 +37565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.476400955,0.996 +37564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.018221765,0.996 +37567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.532593508,0.996 +37568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.262297364,0.996 +37569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.655360944,0.996 +37570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.142339064,0.996 +37566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.303014657,0.996 +37571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.106255954,0.996 +37572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.485409246,0.996 +37573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.903432214,0.996 +37575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.809571313,0.996 +37576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.977367814,0.996 +37577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.437136387,0.996 +37574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.096073929,0.996 +37578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.968363107,0.996 +37579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.761141404,0.996 +37581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.053197316,0.996 +37580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.003414739,0.996 +37582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.336601986,0.996 +37583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.890515429,0.996 +37585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.536985052,0.996 +37586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.92064014,0.996 +37587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.164816966,0.996 +37589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.30325957,0.996 +37588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.585735396,0.996 +37584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.165739598,0.996 +37590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.42066894,0.996 +37592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.408576046,0.996 +37591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.676501001,0.996 +37593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,8.832910398,0.996 +37594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.369736418,0.996 +37596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.02032485,0.996 +37597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.540989928,0.996 +37595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.536075257,0.996 +37598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.864367642,0.996 +37601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.710741342,0.996 +37600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.700441662,0.996 +37602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.475952176,0.996 +37599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.780165455,0.996 +37603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.921086482,0.996 +37604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.258633861,0.996 +37605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.528797002,0.996 +37606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,0.839347735,0.996 +37607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.515471439,0.996 +37608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.73384765,0.996 +37609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.501508612,0.996 +37610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,8.635700947,0.996 +37612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.177617278,0.996 +37611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.716986514,0.996 +37613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.467576427,0.996 +37614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.686071509,0.996 +37615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.127543177,0.996 +37616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.318948484,0.996 +37617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.301887194,0.996 +37618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,9.036947783,0.996 +37621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,8.168702738,0.996 +37619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.573409875,0.996 +37620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.638975516,0.996 +37622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.656184183,0.996 +37623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.338104865,0.996 +37625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,0.79580053,0.996 +37626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,0.948761861,0.996 +37624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.178439168,0.996 +37627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.383479932,0.996 +37628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.182651932,0.996 +37629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,10.17333178,0.996 +37632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.055720294,0.996 +37631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.813043658,0.996 +37630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.503647062,0.996 +37633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.934808699,0.996 +37635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.28506369,0.996 +37634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.963267332,0.996 +37636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.913981753,0.996 +37637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.463169675,0.996 +37638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.768912699,0.996 +37639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.142144417,0.996 +37640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,9.958535074,0.996 +37642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.972907492,0.996 +37643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.588807469,0.996 +37644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,9.525871396,0.996 +37645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,0.003346563,0.996 +37641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.912405796,0.996 +37646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.252877667,0.996 +37648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.370112167,0.996 +37647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.660190324,0.996 +37649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.858309282,0.996 +37650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,9.352891879,0.996 +37651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.42711838,0.996 +37653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.179458291,0.996 +37654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.960395586,0.996 +37652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,8.116732698,0.996 +37655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.760403724,0.996 +37656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.597640031,0.996 +37658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.10458502,0.996 +37659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.287223939,0.996 +37660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.050970285,0.996 +37657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.490382024,0.996 +37662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.781161595,0.996 +37664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.287536007,0.996 +37661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.317030272,0.996 +37663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.88340961,0.996 +37665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.527854557,0.996 +37666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.87101498,0.996 +37668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,8.095930974,0.996 +37669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.858833807,0.996 +37667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.460218573,0.996 +37670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.928585184,0.996 +37671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.953494242,0.996 +37673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.969835636,0.996 +37672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.896289739,0.996 +37675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.355231219,0.996 +37676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.973516303,0.996 +37674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.959266709,0.996 +37677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.985948342,0.996 +37678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.566305736,0.996 +37680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.108775685,0.996 +37681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.520022795,0.996 +37679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.452017596,0.996 +37683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.768234505,0.996 +37682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.560807142,0.996 +37684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,8.424442529,0.996 +37687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.848501879,0.996 +37685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.788583842,0.996 +37688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.264843928,0.996 +37686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.495577286,0.996 +37689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.291118415,0.996 +37690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.764188527,0.996 +37691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.938477268,0.996 +37692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.596326622,0.996 +37694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,0.957911089,0.996 +37695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.011994149,0.996 +37696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.281134868,0.996 +37697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.999098607,0.996 +37693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.653025955,0.996 +37698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.4343218,0.996 +37699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.583178974,0.996 +37701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.052566129,0.996 +37704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,-1.183831112,0.996 +37700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.271858456,0.996 +37702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.589078266,0.996 +37703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,0.805281408,0.996 +37705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.319779547,0.996 +37706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.699615617,0.996 +37707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.357885793,0.996 +37708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.556908609,0.996 +37710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.096661894,0.996 +37711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.669837914,0.996 +37712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.419622389,0.996 +37709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.016363679,0.996 +37713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.588943359,0.996 +37714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.511984567,0.996 +37716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.559781563,0.996 +37715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.524113904,0.996 +37718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.291034188,0.996 +37719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.947168966,0.996 +37717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.170947226,0.996 +37720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.49395577,0.996 +37721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.370608118,0.996 +37722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,0.884320965,0.996 +37723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.927010811,0.996 +37725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.577794639,0.996 +37724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.909298674,0.996 +37727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.86945316,0.996 +37728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.391542239,0.996 +37729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.060278146,0.996 +37726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.339845545,0.996 +37730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.576733127,0.996 +37731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.701350618,0.996 +37732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.513978148,0.996 +37733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,8.28655186,0.996 +37735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.905844916,0.996 +37734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.830646364,0.996 +37737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.958826187,0.996 +37736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.466101167,0.996 +37738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.931542124,0.996 +37740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.667603251,0.996 +37739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,10.41613612,0.996 +37741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.151264873,0.996 +37742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.962942813,0.996 +37744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.185516768,0.996 +37745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.836123331,0.996 +37746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.28705639,0.996 +37743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.0066855,0.996 +37747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.692688582,0.996 +37748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.898012025,0.996 +37749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.715449022,0.996 +37750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.356783506,0.996 +37751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.348943579,0.996 +37753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.923339869,0.996 +37754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.6267908,0.996 +37755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.325422737,0.996 +37752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.031774136,0.996 +37756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.27820549,0.996 +37757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.202258786,0.996 +37758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.608320706,0.996 +37759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.987768983,0.996 +37760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.69364999,0.996 +37762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.477292393,0.996 +37763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.040800849,0.996 +37761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.67251675,0.996 +37764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.109335246,0.996 +37765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.253502138,0.996 +37767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.66618845,0.996 +37769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.972457258,0.996 +37768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.316113232,0.996 +37766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.113607685,0.996 +37770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.792709666,0.996 +37771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.758294476,0.996 +37772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.154811795,0.996 +37774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.391902918,0.996 +37775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.71802397,0.996 +37776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.162273304,0.996 +37773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.546751961,0.996 +37780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.916608367,0.996 +37777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.517295383,0.996 +37779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.130817288,0.996 +37778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.859968532,0.996 +37781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.32968076,0.996 +37782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.476801619,0.996 +37784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.619395197,0.996 +37783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.338938022,0.996 +37786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.364608762,0.996 +37787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.951043511,0.996 +37785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,8.310319233,0.996 +37788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.769575844,0.996 +37789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.076944486,0.996 +37790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.182778573,0.996 +37792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,8.520235042,0.996 +37791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.95572937,0.996 +37793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,8.353503214,0.996 +37795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.338168972,0.996 +37794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.747058447,0.996 +37796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.646901777,0.996 +37797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,8.112610823,0.996 +37798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.912998837,0.996 +37799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.991928432,0.996 +37800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.500734448,0.996 +37801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.898242063,0.996 +37802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.22116965,0.996 +37803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.738191753,0.996 +37806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.90063337,0.996 +37805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.999472133,0.996 +37807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.123315483,0.996 +37808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.613234323,0.996 +37809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.323934717,0.996 +37804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.719936524,0.996 +37810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.575717599,0.996 +37813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,10.34104245,0.996 +37814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.094326571,0.996 +37811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,8.830341143,0.996 +37812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.382871553,0.996 +37815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.45158816,0.996 +37817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,8.326201494,0.996 +37816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.286457447,0.996 +37818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.428415826,0.996 +37819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.848858811,0.996 +37820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.869458476,0.996 +37822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.272507147,0.996 +37821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,10.23613159,0.996 +37824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.176228694,0.996 +37825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.172858212,0.996 +37826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.939307266,0.996 +37823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.064231946,0.996 +37827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.477553127,0.996 +37828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.237126358,0.996 +37829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.426083027,0.996 +37831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.334202413,0.996 +37830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.455141304,0.996 +37832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.820996475,0.996 +37833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.010329908,0.996 +37834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.166468025,0.996 +37835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.175055594,0.996 +37836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.55732305,0.996 +37837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.253325813,0.996 +37838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.341530395,0.996 +37839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,0.848862976,0.996 +37841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.285310602,0.996 +37840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,9.349673163,0.996 +37842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.439830692,0.996 +37844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.629288273,0.996 +37843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.080233069,0.996 +37845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,0.852478869,0.996 +37846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.33382636,0.996 +37847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.129362089,0.996 +37848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.345849083,0.996 +37849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.470129594,0.996 +37850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.649434858,0.996 +37851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.809257057,0.996 +37852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.901808298,0.996 +37853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,0.459465144,0.996 +37854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.195816052,0.996 +37855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.450475109,0.996 +37856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.040503192,0.996 +37857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.003743324,0.996 +37858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.973966531,0.996 +37859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.327867831,0.996 +37860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.991607964,0.996 +37862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.924874827,0.996 +37863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.091441118,0.996 +37864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.771582566,0.996 +37865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.620759671,0.996 +37861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.097588448,0.996 +37866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.102232128,0.996 +37867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.002296002,0.996 +37868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.543721134,0.996 +37870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.886250158,0.996 +37871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.069392434,0.996 +37869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.435113536,0.996 +37872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.693491541,0.996 +37873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.515335119,0.996 +37874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,8.472064825,0.996 +37875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.195737574,0.996 +37876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.629050965,0.996 +37877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.025052048,0.996 +37878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.167310043,0.996 +37880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.02847926,0.996 +37881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,8.480718055,0.996 +37882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.640506546,0.996 +37879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.017164238,0.996 +37883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.161335735,0.996 +37884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.601803896,0.996 +37885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.805034493,0.996 +37886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,0.884462907,0.996 +37888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.598444221,0.996 +37887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.149477236,0.996 +37889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.315065148,0.996 +37890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.170621007,0.996 +37892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.571766822,0.996 +37891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.328289557,0.996 +37893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.938923002,0.996 +37894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.836195941,0.996 +37895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.643974288,0.996 +37896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.853632955,0.996 +37897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.406802451,0.996 +37898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.295179169,0.996 +37899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.852203114,0.996 +37900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.67431837,0.996 +37901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.277787567,0.996 +37903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.684428335,0.996 +37904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.867842974,0.996 +37902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.396519397,0.996 +37906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.56275989,0.996 +37907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.317358244,0.996 +37908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.605259158,0.996 +37905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.834211346,0.996 +37909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,0.6171016,0.996 +37910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.027005753,0.996 +37912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.673304878,0.996 +37913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.548230972,0.996 +37914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.886638141,0.996 +37911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.676673841,0.996 +37915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.035204468,0.996 +37916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.609229195,0.996 +37917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.944363791,0.996 +37919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.887974625,0.996 +37918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.764719363,0.996 +37920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.500595416,0.996 +37921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.948940292,0.996 +37923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.343611558,0.996 +37924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.258063749,0.996 +37925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,9.677947082,0.996 +37922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.153173932,0.996 +37927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.233888692,0.996 +37926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.496430254,0.996 +37928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.868530314,0.996 +37930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.941806987,0.996 +37931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.333241416,0.996 +37929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.844824949,0.996 +37932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.256330016,0.996 +37934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.750341561,0.996 +37935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,0.743370341,0.996 +37933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.466075031,0.996 +37936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.022944308,0.996 +37937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.666240097,0.996 +37938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.140136918,0.996 +37939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.394281322,0.996 +37940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.575935845,0.996 +37941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,0.853513347,0.996 +37943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.709014782,0.996 +37942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.943556325,0.996 +37946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.034169366,0.996 +37945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.517688872,0.996 +37944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.090080595,0.996 +37947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.11876961,0.996 +37950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.723674816,0.996 +37948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.405077795,0.996 +37949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.844137756,0.996 +37951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.314898211,0.996 +37952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.565703046,0.996 +37953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.831420965,0.996 +37954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.334282155,0.996 +37955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,10.5280877,0.996 +37957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.608235303,0.996 +37956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.751014272,0.996 +37958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.357868073,0.996 +37959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.080956773,0.996 +37960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.498779031,0.996 +37962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.284701549,0.996 +37963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,-0.002617963,0.996 +37961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,10.81218587,0.996 +37964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,8.176687283,0.996 +37967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.581939428,0.996 +37966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.086051575,0.996 +37965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.144675323,0.996 +37968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.138643626,0.996 +37969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.249959562,0.996 +37971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.41741362,0.996 +37970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.720927156,0.996 +37972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,10.24730186,0.996 +37973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,7.036964921,0.996 +37974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.897656198,0.996 +37975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.98592527,0.996 +37976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,5.046436851,0.996 +37978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.465391868,0.996 +37979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.613933951,0.996 +37980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.566549176,0.996 +37977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,1.787856901,0.996 +37982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.873525416,0.996 +37983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.088130886,0.996 +37981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,0.122839193,0.996 +37984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.696300908,0.996 +37985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.673916857,0.996 +37986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.476427744,0.996 +37987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.625638416,0.996 +37988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,6.237026514,0.996 +37989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.6105126,0.996 +37990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.371001351,0.996 +37991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.259693397,0.996 +37992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,9.358732617,0.996 +37993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.940281649,0.996 +37994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,4.498637012,0.996 +37996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.976064449,0.996 +37997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.59976777,0.996 +37995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.218122509,0.996 +37998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,2.679263357,0.996 +37999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.315894091,0.996 +38000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,8,1,3.566479047,0.996 +47002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.904837353,1 +47004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.400797379,1 +47003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.450642183,1 +47005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.530181246,1 +47001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.693476218,1 +47006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.635551262,1 +47008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.298090816,1 +47007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.098093771,1 +47009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.562023829,1 +47010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.965409319,1 +47011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.533504674,1 +47012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.968711896,1 +47013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.138593027,1 +47014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.605286728,1 +47016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.852472729,1 +47017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.082402443,1 +47018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.37825161,1 +47019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.237485904,1 +47015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.306269538,1 +47020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.18511191,1 +47021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.806734643,1 +47023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.611927275,1 +47022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.814686473,1 +47024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.904791509,1 +47026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.161450053,1 +47025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.233869824,1 +47027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.880866658,1 +47028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.232817603,1 +47029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.57376172,1 +47030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,7.490744209,1 +47032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.200772069,1 +47031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,9.576787239,1 +47034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.637141794,1 +47035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.419676939,1 +47036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.411102834,1 +47033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.740167653,1 +47037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.093137367,1 +47039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.491102156,1 +47038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.616346312,1 +47040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.574292413,1 +47041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.671351955,1 +47042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.811386308,1 +47043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.793574277,1 +47044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.081096977,1 +47045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.826421522,1 +47046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.77953031,1 +47047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.547143943,1 +47049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.83128193,1 +47050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,0.637662424,1 +47051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.173491499,1 +47048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,7.609766695,1 +47052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.198635534,1 +47054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.973344332,1 +47053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.023675272,1 +47055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.817551763,1 +47056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.232009604,1 +47058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.679880185,1 +47057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.406004627,1 +47059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.500983411,1 +47060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.687289064,1 +47061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.367388802,1 +47062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.988937234,1 +47064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.583221061,1 +47063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.846478838,1 +47066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.351671761,1 +47065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.119381362,1 +47067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.519620029,1 +47069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.206993203,1 +47070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.231271199,1 +47071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.877203345,1 +47068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.214912777,1 +47073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.552066642,1 +47074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.470617986,1 +47075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.510443932,1 +47076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.118145526,1 +47077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.619161046,1 +47072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.772173267,1 +47078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.710633996,1 +47079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,0.917560999,1 +47080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.286992207,1 +47082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.859448996,1 +47081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.964696782,1 +47083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,0.994248063,1 +47086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.815057042,1 +47084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.141702832,1 +47085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.111814552,1 +47087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.84316675,1 +47088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.289113747,1 +47089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.537713954,1 +47091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.358807317,1 +47090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.185703229,1 +47093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.486387555,1 +47094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.793799449,1 +47092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.869780979,1 +47095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.828152333,1 +47096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.730130993,1 +47098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.183968328,1 +47097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,8.219827924,1 +47100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.360868558,1 +47101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.37146001,1 +47099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.595285166,1 +47102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,9.149049461,1 +47103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.231623536,1 +47104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.106196634,1 +47105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.279677308,1 +47106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.620313277,1 +47107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.92573209,1 +47109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.891731082,1 +47111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.498353608,1 +47110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.258846812,1 +47108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.022090602,1 +47112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.181134693,1 +47114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,8.834356919,1 +47115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.478168065,1 +47113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.604244599,1 +47117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.79783806,1 +47116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.462464455,1 +47118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.509037229,1 +47119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.277992865,1 +47120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.548024804,1 +47122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.32049435,1 +47121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.843198102,1 +47123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.341816448,1 +47125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.411516762,1 +47126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.510676412,1 +47127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.21123393,1 +47124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.438366361,1 +47128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.026891704,1 +47129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.66764025,1 +47131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.886956723,1 +47130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.446875884,1 +47132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.825716879,1 +47134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.810546692,1 +47133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.974854826,1 +47135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.424011899,1 +47136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.050361753,1 +47137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.919219125,1 +47138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.609446934,1 +47139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.99868612,1 +47140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.371159486,1 +47141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.228809922,1 +47143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.825793412,1 +47142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.549285871,1 +47144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.007543503,1 +47145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,0.962981657,1 +47146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.812722057,1 +47147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.26384947,1 +47148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.662489252,1 +47149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.860974867,1 +47152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.49000917,1 +47150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.820989172,1 +47151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.67674646,1 +47153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.673071755,1 +47154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,7.779472782,1 +47156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.810172578,1 +47155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.583478579,1 +47157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.441595667,1 +47158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.952945839,1 +47160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.463871772,1 +47159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.792038462,1 +47162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.925957451,1 +47161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.371234393,1 +47163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,9.688287468,1 +47165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.826503948,1 +47166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.701699782,1 +47167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.901962835,1 +47168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.836621933,1 +47164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.42453463,1 +47169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.077599161,1 +47170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.954276848,1 +47171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.085270925,1 +47173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.970189426,1 +47174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.768865822,1 +47177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.336304466,1 +47172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.838426445,1 +47175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.271737234,1 +47176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.649543556,1 +47180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.342949055,1 +47181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,0.599107764,1 +47179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.516446903,1 +47178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.468521127,1 +47182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.431722698,1 +47183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.49089006,1 +47185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.023253312,1 +47184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.278241787,1 +47186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.938606894,1 +47187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.49071478,1 +47189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.635369916,1 +47190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.285030701,1 +47192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,10.39310735,1 +47188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.883484572,1 +47191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.568631138,1 +47193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.175203733,1 +47196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,9.114514267,1 +47195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.577991639,1 +47194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.372023701,1 +47197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.597057218,1 +47198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.363091232,1 +47199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.667627404,1 +47200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.831830202,1 +47201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.165720499,1 +47202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.6660894,1 +47204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,7.268684173,1 +47205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.134209084,1 +47203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,0.660502352,1 +47206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.296124606,1 +47207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.416326458,1 +47209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.389052665,1 +47208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.863769386,1 +47210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.675390754,1 +47211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.088049884,1 +47212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.790039536,1 +47213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,7.641162833,1 +47214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.305703969,1 +47215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.560136953,1 +47217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.789084808,1 +47218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.900461477,1 +47216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.634153419,1 +47219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.521944437,1 +47220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.395195972,1 +47221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.537165402,1 +47223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.291286565,1 +47222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.790936572,1 +47224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.726925646,1 +47225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.912332146,1 +47226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.848728385,1 +47227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.467632717,1 +47228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.598551689,1 +47229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.097305773,1 +47230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.702397372,1 +47232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.341338222,1 +47231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.854166974,1 +47233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.109058136,1 +47234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.235219335,1 +47235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.87801323,1 +47236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.057120618,1 +47238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.39011987,1 +47237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.656843856,1 +47239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,8.759028347,1 +47240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.209822165,1 +47242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.768643051,1 +47241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.278235178,1 +47243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.284582081,1 +47245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.05570322,1 +47244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.691571085,1 +47246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.195189055,1 +47247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.475087572,1 +47248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.127867711,1 +47250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.883278248,1 +47249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.946795061,1 +47251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.591994187,1 +47252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.169524103,1 +47253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.990897849,1 +47255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.812189236,1 +47254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.680591565,1 +47256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.744905403,1 +47258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.632974165,1 +47260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.635566174,1 +47259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.916886074,1 +47261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.293102502,1 +47257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.668272034,1 +47262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,7.742482015,1 +47264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.306714762,1 +47265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.057675486,1 +47266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.319603131,1 +47263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,8.86495216,1 +47268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.852072215,1 +47267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.44378139,1 +47270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.292141936,1 +47269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,7.030664419,1 +47271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.274937991,1 +47272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.886759773,1 +47274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.432626789,1 +47276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,0.586279301,1 +47273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.469069718,1 +47277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.700059514,1 +47275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.712532935,1 +47278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.764351983,1 +47280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.74802459,1 +47282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.513769667,1 +47281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.114424727,1 +47279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.754552485,1 +47284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.90286217,1 +47286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.251063173,1 +47283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.400738773,1 +47285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.032519176,1 +47287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.517272834,1 +47289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,7.90694499,1 +47288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.304882291,1 +47290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.59664243,1 +47292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.814321583,1 +47294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.870842181,1 +47291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.610551451,1 +47295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.471798895,1 +47296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,10.53816361,1 +47297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.268412287,1 +47293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.441032261,1 +47298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.673142409,1 +47300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.698349518,1 +47299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.085135527,1 +47301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.965945684,1 +47302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.561220355,1 +47303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.654564597,1 +47304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.099383806,1 +47305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.667004857,1 +47306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.811142324,1 +47308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.59925729,1 +47309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.452107619,1 +47310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.434497383,1 +47307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.764695539,1 +47311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.236139732,1 +47312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,8.357523346,1 +47314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,11.06836044,1 +47313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.668987126,1 +47315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.436977198,1 +47316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,8.207654691,1 +47317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.618789396,1 +47318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.311017504,1 +47319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.913838715,1 +47321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.691333476,1 +47320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.46009222,1 +47322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,0.849601303,1 +47323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.970619086,1 +47325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.606797494,1 +47326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.545583466,1 +47327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.186614956,1 +47324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.87696586,1 +47331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.845079514,1 +47329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.82703213,1 +47328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.515854624,1 +47330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.87944668,1 +47332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.601347683,1 +47333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.863087636,1 +47335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.852191964,1 +47334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.622375938,1 +47336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.104721515,1 +47337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.130370715,1 +47339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.874562114,1 +47338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.631513604,1 +47340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.666649733,1 +47342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.689642027,1 +47341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.61588353,1 +47343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.574651702,1 +47345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.773696727,1 +47346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,7.773614194,1 +47344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.307170863,1 +47347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.932723452,1 +47348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.731448892,1 +47350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.486440211,1 +47349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.400106227,1 +47351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.360873004,1 +47352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.351484009,1 +47354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.252440814,1 +47353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.193227446,1 +47355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.938972374,1 +47358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.412330631,1 +47356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.461998885,1 +47357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.200745931,1 +47361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.520636699,1 +47359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.984319424,1 +47362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.601070141,1 +47360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,8.374534249,1 +47364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.397152535,1 +47363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.641118545,1 +47366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.872251739,1 +47365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.737438731,1 +47367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.65809124,1 +47368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.226133332,1 +47369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.260291709,1 +47370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.190354049,1 +47371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.82850531,1 +47372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,8.123269111,1 +47373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.170979571,1 +47374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.458018325,1 +47376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.744393593,1 +47375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.360467678,1 +47378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.850324921,1 +47377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.101199521,1 +47380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.069409848,1 +47381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.232653923,1 +47382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.927091953,1 +47384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.983877272,1 +47385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,7.238109667,1 +47379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,8.185109677,1 +47383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.092914383,1 +47386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.241201898,1 +47387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,7.27515031,1 +47388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.584205732,1 +47389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.799285655,1 +47390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.806865696,1 +47391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.828456686,1 +47392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.229023907,1 +47393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.200915109,1 +47394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.942833558,1 +47396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,8.084928147,1 +47395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.723016281,1 +47398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.926869439,1 +47397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.766426054,1 +47400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.475409199,1 +47401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.469555683,1 +47402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.608401005,1 +47399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.22654689,1 +47403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.904938778,1 +47404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.578132671,1 +47405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.136690403,1 +47406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.784603887,1 +47407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.752676613,1 +47408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.582510278,1 +47410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.250740041,1 +47409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.805031976,1 +47411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.79452804,1 +47412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.001458898,1 +47413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.753804456,1 +47415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.48100487,1 +47416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.841397928,1 +47414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.347742682,1 +47418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.894347558,1 +47419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,7.265466836,1 +47420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,8.000401857,1 +47417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.099007608,1 +47421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,0.822082156,1 +47423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,0.278145656,1 +47424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.859452184,1 +47422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.332602205,1 +47425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.896689938,1 +47427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.322816926,1 +47428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.49537607,1 +47426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.49810307,1 +47429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.667667991,1 +47431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.307090659,1 +47430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.289398903,1 +47433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.717457295,1 +47434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.379059648,1 +47435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.592214438,1 +47432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,7.28301527,1 +47436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.27518711,1 +47438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.271792679,1 +47437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.066052212,1 +47439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.168706292,1 +47440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.218695508,1 +47442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.96927185,1 +47443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.225610322,1 +47446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.23937567,1 +47444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.621612053,1 +47445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.002864021,1 +47441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.630172453,1 +47447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.635524602,1 +47449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.949100226,1 +47448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.963904693,1 +47450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,7.262915931,1 +47453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.047560389,1 +47451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.679028602,1 +47454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.640187917,1 +47452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.948146424,1 +47455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.120434531,1 +47456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.587244562,1 +47457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.338647361,1 +47458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.511708737,1 +47459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.5445257,1 +47460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.9793647,1 +47462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.977470282,1 +47463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.555453825,1 +47464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.258616953,1 +47465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.937604801,1 +47461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.530213768,1 +47466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.5766023,1 +47468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.040943859,1 +47467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.275851969,1 +47469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.616338264,1 +47470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.447944998,1 +47471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.580642378,1 +47472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.646362622,1 +47474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.329677114,1 +47473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.047576423,1 +47475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,8.170514772,1 +47476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,7.147605021,1 +47478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.067449488,1 +47477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.707239602,1 +47479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.446232929,1 +47480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.283291979,1 +47481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.406217747,1 +47483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.873396629,1 +47484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.238748043,1 +47482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.17741105,1 +47485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.170325804,1 +47487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.72785163,1 +47486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.834724441,1 +47488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.871350556,1 +47489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.884328268,1 +47491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.928513377,1 +47490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.006395059,1 +47493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.159070111,1 +47494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.129641775,1 +47495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.787115279,1 +47492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.632992021,1 +47496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.200060293,1 +47498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.054106867,1 +47497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.088072303,1 +47499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.974956607,1 +47502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.718751592,1 +47500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.424211834,1 +47501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,10.95603402,1 +47503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.710030998,1 +47504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.518563046,1 +47505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.064997946,1 +47506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.568609773,1 +47507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.477611985,1 +47508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.000127584,1 +47509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.250236017,1 +47510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.29254099,1 +47511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.982538795,1 +47513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.113287466,1 +47512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.528276859,1 +47514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.864424771,1 +47515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.923238364,1 +47517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.251854644,1 +47516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.521653145,1 +47518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.499190434,1 +47519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.296350577,1 +47521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.12163115,1 +47520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.639458048,1 +47522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.06572761,1 +47523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,7.689783765,1 +47525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.061264516,1 +47524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.038582729,1 +47526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.782705487,1 +47528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.303845149,1 +47527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.846614994,1 +47530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.604070928,1 +47529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.198702999,1 +47531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,0.691701817,1 +47533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.447064457,1 +47534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.061452882,1 +47535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,7.71066442,1 +47536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.686188159,1 +47537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.385858215,1 +47532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.710544986,1 +47538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.678777349,1 +47539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.154173224,1 +47540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.112745734,1 +47542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.743424722,1 +47543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.97889902,1 +47541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.631949723,1 +47544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.533070268,1 +47545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.29196913,1 +47546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.851262958,1 +47548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,7.692901443,1 +47547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.137933553,1 +47550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.598283894,1 +47549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,7.064815553,1 +47551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.992211588,1 +47554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.767049094,1 +47553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.018143848,1 +47552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.464180616,1 +47555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.245409684,1 +47556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.557646587,1 +47557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.373203283,1 +47559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.183722939,1 +47560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.069551689,1 +47558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.167543272,1 +47561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.440906918,1 +47562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.124948481,1 +47563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.10701171,1 +47564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.636992898,1 +47565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.285843109,1 +47566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.779431454,1 +47567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,0.8201453,1 +47569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.445040574,1 +47568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.683811273,1 +47570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.256575763,1 +47572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.452760297,1 +47571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.437104503,1 +47574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.517179401,1 +47573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.72259233,1 +47576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.078481134,1 +47575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.211187932,1 +47577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.479117289,1 +47578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.865084116,1 +47579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.243735653,1 +47580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.684512394,1 +47581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.179724805,1 +47584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.850687879,1 +47582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.462857268,1 +47583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.705534407,1 +47585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.789538299,1 +47586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.725637487,1 +47588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,7.728243005,1 +47587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.325451722,1 +47589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.113554364,1 +47590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.333020925,1 +47591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.726848617,1 +47592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,9.737975946,1 +47593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.698186391,1 +47594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.243992869,1 +47595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.649639253,1 +47597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.338772303,1 +47596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.005416222,1 +47598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.131700448,1 +47599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.430615597,1 +47600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.948958736,1 +47603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.970678695,1 +47602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.545351461,1 +47604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.988297526,1 +47601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.331813893,1 +47605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.895520131,1 +47606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.909559566,1 +47608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.695880192,1 +47610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.105575833,1 +47607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.065360738,1 +47609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.675375354,1 +47611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.178388791,1 +47612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.783957901,1 +47613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.467462802,1 +47614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.5560139,1 +47616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.249475948,1 +47617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,7.370814842,1 +47618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.951140691,1 +47615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.009408967,1 +47619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.338847862,1 +47620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.204613307,1 +47621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.376527632,1 +47624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.521482972,1 +47622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.630585536,1 +47623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,7.471016348,1 +47625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.644331552,1 +47627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.014490504,1 +47626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.936713422,1 +47628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.044716689,1 +47629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.819486662,1 +47630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,9.631176156,1 +47631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.36148514,1 +47632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.44584489,1 +47633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.059724219,1 +47635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.519289855,1 +47636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.065458074,1 +47637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.759603978,1 +47634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.498356336,1 +47638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.164875954,1 +47639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.197533497,1 +47640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.731088769,1 +47641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.359657432,1 +47643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.55752648,1 +47642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.20873068,1 +47644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.493346299,1 +47645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.802237623,1 +47646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.850394311,1 +47647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,7.579487162,1 +47648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.207258773,1 +47649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.769309439,1 +47650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.862583357,1 +47651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.412436723,1 +47652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.138995249,1 +47655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.587641942,1 +47654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.676945536,1 +47656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.153514428,1 +47653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.128059223,1 +47658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.508318443,1 +47657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.757810117,1 +47659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.359713926,1 +47660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.42863391,1 +47661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.27287783,1 +47662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.006345001,1 +47663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.023254243,1 +47665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.194368268,1 +47666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.072573934,1 +47667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.80477913,1 +47664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,7.528495776,1 +47669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,7.358972387,1 +47668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.410316803,1 +47671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.163681719,1 +47670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,8.828847515,1 +47673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.157886709,1 +47672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.456582798,1 +47674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.895437476,1 +47675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.26906635,1 +47676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.143797339,1 +47677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.1856041,1 +47679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.528192905,1 +47680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.194576626,1 +47681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.581497946,1 +47678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,0.895039266,1 +47682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.132974579,1 +47684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.05284419,1 +47685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.45975492,1 +47683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,8.378786777,1 +47687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.899423016,1 +47686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.66699166,1 +47688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.636046232,1 +47689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.006556372,1 +47690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.770533417,1 +47691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.311484566,1 +47693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.953208076,1 +47694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.375456455,1 +47692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,7.49221633,1 +47695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.588004942,1 +47696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,0.731494099,1 +47697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.567484631,1 +47698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.357731318,1 +47699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.740677682,1 +47700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.953225571,1 +47703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.417833323,1 +47701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.239209918,1 +47704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.773730765,1 +47706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.110706941,1 +47705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.589706384,1 +47702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.897628885,1 +47707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.820335744,1 +47708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.475210166,1 +47709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.515028449,1 +47711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.998134282,1 +47713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.212419077,1 +47712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.605142583,1 +47710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.409108749,1 +47714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.52559989,1 +47716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.982337064,1 +47715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,0.759730858,1 +47717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,8.008694478,1 +47719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.969726077,1 +47720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.535350951,1 +47718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.237966012,1 +47721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.410912606,1 +47722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.089100502,1 +47723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.692473825,1 +47725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.656430481,1 +47726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.52178983,1 +47727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.389787578,1 +47728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,7.502994117,1 +47724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.838277054,1 +47729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.436707336,1 +47730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.391335718,1 +47731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.555672465,1 +47732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.814026326,1 +47733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,7.348548759,1 +47734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.976530713,1 +47736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.669051987,1 +47737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.195617271,1 +47738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.993889608,1 +47739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.367147188,1 +47735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.327900889,1 +47740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.244088987,1 +47741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.325299081,1 +47744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.343822413,1 +47743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,7.741563427,1 +47745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.491567863,1 +47742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.49742424,1 +47747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.145091105,1 +47746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.401081764,1 +47749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.239068241,1 +47748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.21243354,1 +47750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.943488413,1 +47751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.681038749,1 +47752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.169991551,1 +47754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.238899449,1 +47755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.58511685,1 +47756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.123828443,1 +47757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,7.697412895,1 +47758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,7.432544596,1 +47753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.9639066,1 +47760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.25025551,1 +47762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.686177951,1 +47764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.13305186,1 +47759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.267181542,1 +47761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.548332184,1 +47763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.020373377,1 +47765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.750501139,1 +47766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.379853745,1 +47767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.699380761,1 +47768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.090177069,1 +47770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.388358788,1 +47771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.878581325,1 +47772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.022851644,1 +47769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.439204879,1 +47773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.184564893,1 +47774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.59918994,1 +47775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.166250831,1 +47776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.368150822,1 +47779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.077649281,1 +47777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.609552612,1 +47778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.625567398,1 +47780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.252463048,1 +47781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.324438072,1 +47782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.157198437,1 +47783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.413453107,1 +47784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.438862793,1 +47786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.045869042,1 +47785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,10.52717332,1 +47787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.147713852,1 +47790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.12734845,1 +47791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.448433106,1 +47789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.303773429,1 +47788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.46779839,1 +47793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.756759826,1 +47792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,7.353239488,1 +47795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.641891414,1 +47794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.117581993,1 +47796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.481198657,1 +47798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.989294963,1 +47797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.574666871,1 +47799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.185591404,1 +47800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,7.041747422,1 +47802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.707931014,1 +47801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,8.076492694,1 +47804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,9.94223025,1 +47803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.858120128,1 +47805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.850343366,1 +47807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.863036764,1 +47806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.819579797,1 +47809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.280013876,1 +47808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.284981443,1 +47811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.603448804,1 +47810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.386005775,1 +47813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.958007848,1 +47812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.968355979,1 +47814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.191189922,1 +47815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.882502514,1 +47816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,9.087473964,1 +47817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,8.547546745,1 +47818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.930274174,1 +47819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.825418607,1 +47820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.830538974,1 +47821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.606000013,1 +47822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.338077914,1 +47823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.879783839,1 +47825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.259397337,1 +47824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.894908086,1 +47826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.618357468,1 +47827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,9.4448118,1 +47829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.578959303,1 +47830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.342637698,1 +47831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.044392709,1 +47833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,7.024015825,1 +47834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.028189699,1 +47832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.619526293,1 +47828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.936466828,1 +47835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,8.555616969,1 +47836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.970323251,1 +47837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.862545574,1 +47838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.746639221,1 +47839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.697852429,1 +47840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.152505192,1 +47842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.032321935,1 +47841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.288579552,1 +47843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.887152971,1 +47844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.934033526,1 +47845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.691790463,1 +47846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.463701643,1 +47847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.338031159,1 +47848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.257987087,1 +47850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.322910714,1 +47851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.758418566,1 +47852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.638083982,1 +47849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.115308842,1 +47853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.272233736,1 +47856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.166006035,1 +47854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.257933273,1 +47855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.666412534,1 +47858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.94917219,1 +47857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.063531517,1 +47859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.523989376,1 +47860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.467950007,1 +47861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.359169623,1 +47862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.712529489,1 +47863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.3738873,1 +47864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.56824992,1 +47866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.033116182,1 +47867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,8.400031434,1 +47868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.529112838,1 +47865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.134929902,1 +47869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.585031625,1 +47872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.355324987,1 +47870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.607974678,1 +47871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.939598732,1 +47873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.090478224,1 +47874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.272905499,1 +47875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.904296984,1 +47876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.230254292,1 +47877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,7.233417359,1 +47878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.308834836,1 +47879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.642234831,1 +47880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,9.170840403,1 +47881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.191982566,1 +47883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.69513183,1 +47884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.603362373,1 +47882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.252112528,1 +47887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.764184804,1 +47885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.21916395,1 +47886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.016345481,1 +47888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.473397284,1 +47891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.715636598,1 +47892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.817862541,1 +47889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.238539585,1 +47890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.015380999,1 +47894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.806513296,1 +47893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.630891569,1 +47895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.594284881,1 +47897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.616925207,1 +47898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.587785374,1 +47899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.949808081,1 +47896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.299894469,1 +47901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.80329125,1 +47902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.801968223,1 +47900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.441151054,1 +47903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.3790659,1 +47904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.735888806,1 +47905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.623302565,1 +47906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.641593822,1 +47908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.21136812,1 +47909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.443939551,1 +47910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.431576186,1 +47911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.683082511,1 +47907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.248322064,1 +47912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.487453437,1 +47913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.538279278,1 +47914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,10.53281042,1 +47915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.845140023,1 +47918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.199262454,1 +47916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.639561906,1 +47917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.464310856,1 +47919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.774930433,1 +47920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.953498697,1 +47921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.969153405,1 +47922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.357127377,1 +47923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.35575188,1 +47924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.93816727,1 +47926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.710103309,1 +47925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.997571709,1 +47928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.404438298,1 +47929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.009810113,1 +47930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.694566146,1 +47927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.665604495,1 +47932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.209614399,1 +47933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.779113371,1 +47934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.890429208,1 +47931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.433790536,1 +47935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.773608179,1 +47937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.248222125,1 +47938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,9.004075168,1 +47936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.818518884,1 +47939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,0.561235048,1 +47940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.239579064,1 +47941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.375133448,1 +47942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.805377969,1 +47943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.470469589,1 +47944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.917441226,1 +47945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.77374096,1 +47947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.053560195,1 +47948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.494402792,1 +47949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.787620226,1 +47946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.681470076,1 +47950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.508226647,1 +47951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.594530625,1 +47952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.420735917,1 +47954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.97571816,1 +47953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.548018497,1 +47955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.416639003,1 +47956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.592093593,1 +47957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.072529244,1 +47958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.970744112,1 +47959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.86021172,1 +47960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.936775627,1 +47961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.607605052,1 +47962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.32179093,1 +47963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.704082233,1 +47965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.868259032,1 +47966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.95976962,1 +47967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.673647383,1 +47968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,9.149239153,1 +47964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.06552459,1 +47969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,7.472118668,1 +47970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.95496839,1 +47971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.50950947,1 +47973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.823798024,1 +47974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.297572374,1 +47975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.947561703,1 +47972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.747778723,1 +47979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.220585405,1 +47977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.274445442,1 +47978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.360002273,1 +47976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.784146987,1 +47980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.96820954,1 +47981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.295409511,1 +47982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.340631851,1 +47983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.370426973,1 +47985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.544278964,1 +47984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.246014531,1 +47986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,6.734464447,1 +47987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.468075884,1 +47988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.822630412,1 +47990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.650391691,1 +47991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.405744303,1 +47989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,5.912005789,1 +47993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.476738546,1 +47992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.153752204,1 +47995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,3.369936368,1 +47994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.237228958,1 +47996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.549237808,1 +47998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.914465921,1 +47997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,4.365594212,1 +47999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,1.409740782,1 +48000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,8,1,2.663043441,1 +57001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.690747501,1 +57002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.914669533,1 +57003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.444497951,1 +57006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.915809724,1 +57004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.486141017,1 +57005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.074806413,1 +57008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,7.180910119,1 +57009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.897639047,1 +57010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.615973525,1 +57011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.525968121,1 +57007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.32350952,1 +57012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.520782169,1 +57013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.526218563,1 +57014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.945258102,1 +57016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.770578957,1 +57017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.711530148,1 +57015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.794525004,1 +57018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.942897931,1 +57020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.902983981,1 +57021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.792021188,1 +57019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.196488908,1 +57022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.346181343,1 +57023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.414674752,1 +57024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.220805167,1 +57025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.331355757,1 +57026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.475856396,1 +57027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.590065335,1 +57029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.655294463,1 +57030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.68294949,1 +57031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.890949321,1 +57028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.858318135,1 +57032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.345648189,1 +57033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.613920072,1 +57034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.044914151,1 +57035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.028266295,1 +57036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.161497947,1 +57037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.83295513,1 +57038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.112463824,1 +57039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.199562026,1 +57042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.317921233,1 +57040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.184144144,1 +57041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.6394792,1 +57043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.604307666,1 +57045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.08328945,1 +57044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.89626447,1 +57046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.013798013,1 +57049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.414718144,1 +57050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.728191882,1 +57047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.93969493,1 +57048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.721338754,1 +57051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.775724767,1 +57053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,9.317615464,1 +57052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,7.244282323,1 +57054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.978716547,1 +57056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.671770843,1 +57055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.997432594,1 +57057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.054253995,1 +57058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.531067569,1 +57060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.110502734,1 +57059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.599957868,1 +57061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.126830497,1 +57062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.688724879,1 +57064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.302202116,1 +57063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.215091121,1 +57066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.655219266,1 +57065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.560723305,1 +57067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.479710248,1 +57068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.334876649,1 +57069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.306373332,1 +57070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,7.537109701,1 +57071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.007861323,1 +57072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.208094185,1 +57073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.437733825,1 +57075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.347059377,1 +57076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.541375994,1 +57074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.968214813,1 +57077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.273166238,1 +57078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.331865422,1 +57080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.161070297,1 +57079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.229667234,1 +57081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.102036158,1 +57083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.138286433,1 +57082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.968357529,1 +57084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.6025764,1 +57085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.536859457,1 +57086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.301211178,1 +57087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.170230322,1 +57089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.06516136,1 +57088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.826898684,1 +57091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.346695315,1 +57090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.298882541,1 +57093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.901480712,1 +57092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.578529515,1 +57094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.738374735,1 +57095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.053022558,1 +57097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.362400306,1 +57096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.823061591,1 +57098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.693085954,1 +57100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.089678489,1 +57101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.795971647,1 +57102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,7.138934433,1 +57103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.390853468,1 +57099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.499310874,1 +57104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.963968078,1 +57105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.706044688,1 +57107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.118242414,1 +57106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.694939885,1 +57109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,7.849854761,1 +57111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.248450868,1 +57110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.747181382,1 +57108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.479596211,1 +57112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.903884266,1 +57113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.38322856,1 +57114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.794596032,1 +57115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.941397729,1 +57116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.54967182,1 +57117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.065820637,1 +57119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.799581058,1 +57120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.536214646,1 +57118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.970741589,1 +57121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.17434851,1 +57122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.103199381,1 +57123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.528710323,1 +57125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.032150908,1 +57126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.431936266,1 +57124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.689396151,1 +57127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.87736872,1 +57129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.402658527,1 +57130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.157337228,1 +57128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.550460702,1 +57131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.930815692,1 +57132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.118572832,1 +57133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.818251733,1 +57134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.524505251,1 +57135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.312343784,1 +57138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.560537023,1 +57136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.826802603,1 +57139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.658728919,1 +57140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.197878739,1 +57141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.735755204,1 +57137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.318699828,1 +57142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.653921068,1 +57145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.008415325,1 +57143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.847544419,1 +57144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.888710648,1 +57146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.65201796,1 +57147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.786262982,1 +57148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.962971663,1 +57149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.326589128,1 +57150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.405141223,1 +57152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.073895415,1 +57151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,9.157863125,1 +57153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.798362523,1 +57155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.612279289,1 +57154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.10206923,1 +57157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.385348397,1 +57156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,7.579429617,1 +57159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.504785733,1 +57158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.764825688,1 +57160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.621275923,1 +57161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.757115879,1 +57163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.641328292,1 +57164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.995092146,1 +57165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.172018872,1 +57166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.966161536,1 +57167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.206157439,1 +57162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.111842653,1 +57168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.500004222,1 +57169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.217465378,1 +57170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.395865379,1 +57171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.34644275,1 +57174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.922501704,1 +57173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.923687753,1 +57172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.64913305,1 +57175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.232638016,1 +57176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.166990309,1 +57177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.315511417,1 +57178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.530086722,1 +57180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.62495212,1 +57181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.077815758,1 +57179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.787662058,1 +57182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.998842117,1 +57183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.339221851,1 +57184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.047733365,1 +57185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.311528977,1 +57186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.285301033,1 +57189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.74244575,1 +57187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.114518288,1 +57188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.681875821,1 +57191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.222211105,1 +57192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.002421453,1 +57190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.85346643,1 +57193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.674579088,1 +57194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.122333883,1 +57195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.371974796,1 +57196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.62179787,1 +57197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.836549663,1 +57199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.084995154,1 +57200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.369097451,1 +57201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.703388033,1 +57198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.686977864,1 +57202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.171402029,1 +57205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.047915839,1 +57203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.667641931,1 +57204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.063756453,1 +57206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.115018265,1 +57207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.037337241,1 +57209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.389261455,1 +57208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.619652799,1 +57210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.883337064,1 +57211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.978900052,1 +57212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.667121146,1 +57213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.959803705,1 +57214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.447149171,1 +57216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.266211302,1 +57218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.32309702,1 +57217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.28935378,1 +57215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.077765634,1 +57220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.175148075,1 +57219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.875688965,1 +57222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.456273103,1 +57223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.644237808,1 +57224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.836880587,1 +57225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.998958172,1 +57221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.999089879,1 +57226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.320021827,1 +57227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.215178738,1 +57228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.281317192,1 +57229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.289014006,1 +57230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.724979603,1 +57231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.887330207,1 +57232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.434148793,1 +57233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.292952915,1 +57234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.393853883,1 +57235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.320755586,1 +57237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.735058653,1 +57236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.540322433,1 +57238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.462013356,1 +57239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.098519338,1 +57241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.793278573,1 +57242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,7.937130263,1 +57243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.441783457,1 +57244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.803758709,1 +57245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.271755763,1 +57240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.030805739,1 +57246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.737498615,1 +57247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.984028829,1 +57249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.173975191,1 +57248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.520427115,1 +57250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.010037951,1 +57251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.854616727,1 +57252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.408187233,1 +57253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.464896729,1 +57254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.62317661,1 +57255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.038715078,1 +57256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,7.827745442,1 +57257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.782002079,1 +57258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.22563442,1 +57259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.160039505,1 +57261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.941403812,1 +57262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.572454344,1 +57263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.727741386,1 +57260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.59320114,1 +57264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.970765098,1 +57265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.528249113,1 +57266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.87030782,1 +57267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.964994155,1 +57268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.537237966,1 +57269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.707901494,1 +57270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.266077839,1 +57271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.176334041,1 +57272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.938029341,1 +57273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.288355029,1 +57274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.809157793,1 +57275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.796406579,1 +57276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.843393198,1 +57277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.524406328,1 +57278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.090908988,1 +57281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.538848135,1 +57280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.048070392,1 +57282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.844006936,1 +57279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.629412847,1 +57283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.644070522,1 +57284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.119191004,1 +57285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.146699861,1 +57288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.506371968,1 +57287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.723602153,1 +57289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.1712363,1 +57286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.333269627,1 +57290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.626546544,1 +57291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.901067378,1 +57292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.970228328,1 +57295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.330831235,1 +57294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.562350088,1 +57296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.756998819,1 +57293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.10802102,1 +57299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.247154332,1 +57297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,7.030500375,1 +57300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.287804537,1 +57301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.63088622,1 +57298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.086267823,1 +57302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.856571589,1 +57303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.090582111,1 +57304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.070265793,1 +57306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,7.086590793,1 +57307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.501486831,1 +57308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.451800221,1 +57305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.930991035,1 +57309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.523362752,1 +57310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.702777296,1 +57312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.612721899,1 +57314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.202878064,1 +57311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.938445702,1 +57313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.658576821,1 +57315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.435033398,1 +57317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.450465369,1 +57316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.841217209,1 +57318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.964560776,1 +57322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.69461616,1 +57321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.338438185,1 +57320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.401892304,1 +57319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.883903282,1 +57323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.966565224,1 +57325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.190144016,1 +57324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.291419578,1 +57326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.936379484,1 +57329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,0.662144637,1 +57328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.017497168,1 +57327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.398680511,1 +57330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.483125451,1 +57332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.764791359,1 +57331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.613243836,1 +57333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.968491593,1 +57337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.608884153,1 +57335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,7.083754838,1 +57336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.823626858,1 +57334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,0.908287104,1 +57338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.197677456,1 +57339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.509959773,1 +57340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.900641787,1 +57341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.266742178,1 +57342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.087078464,1 +57344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.706600418,1 +57345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.720769066,1 +57343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.781528494,1 +57348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.426673087,1 +57349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.363008549,1 +57347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.368805171,1 +57346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.98962326,1 +57350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.22330008,1 +57353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.435237745,1 +57351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.537182826,1 +57352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.706653871,1 +57354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.910286844,1 +57355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.312107488,1 +57357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.70239882,1 +57356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.914942807,1 +57358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.235042156,1 +57361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.578826151,1 +57359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.118753396,1 +57360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.825798156,1 +57362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.990332273,1 +57364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.074987469,1 +57365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.458802899,1 +57363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.695183858,1 +57366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.892531657,1 +57367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.106772729,1 +57368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.674527139,1 +57370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.602551609,1 +57369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.144595043,1 +57371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.56942341,1 +57372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.154070131,1 +57374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.48932716,1 +57373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.791527868,1 +57375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.273538144,1 +57376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.109724887,1 +57377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.919647729,1 +57379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.600449497,1 +57378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.36813267,1 +57380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.580356014,1 +57383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.985390479,1 +57382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.181625112,1 +57384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.327980313,1 +57381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.182647823,1 +57385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.310339538,1 +57387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.767462493,1 +57386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.417879335,1 +57388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.24848694,1 +57390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,8.703026055,1 +57389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.479579886,1 +57392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.516694557,1 +57394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.777915922,1 +57393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.832810317,1 +57391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.470432722,1 +57397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.663065797,1 +57396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.382145383,1 +57395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.798823705,1 +57398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.576233326,1 +57399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.057218194,1 +57400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.81897357,1 +57401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.5418999,1 +57402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.08039174,1 +57403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.546997081,1 +57404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.428780302,1 +57406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.745849876,1 +57405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,0.71564015,1 +57407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.051813683,1 +57408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.791986475,1 +57409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.548751487,1 +57411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.602049175,1 +57412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.613573575,1 +57413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.746287453,1 +57410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,7.113298354,1 +57414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.164778809,1 +57415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.802970821,1 +57417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.872107872,1 +57416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.661732402,1 +57418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.358701282,1 +57419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.931441863,1 +57420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.900963886,1 +57421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.548125371,1 +57422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.112737053,1 +57423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.19249624,1 +57426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.016568474,1 +57425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.277822579,1 +57427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.94265439,1 +57428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,8.524928893,1 +57429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.40794571,1 +57430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.483299167,1 +57424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.850518213,1 +57431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.845014601,1 +57433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.91610264,1 +57434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.928464727,1 +57432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.889082024,1 +57436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.201711395,1 +57435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.398077177,1 +57437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.500942099,1 +57438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.011101335,1 +57439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,7.739919238,1 +57440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.038596821,1 +57441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.973221595,1 +57443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.279875795,1 +57444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.83032595,1 +57442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.496114673,1 +57446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.703548487,1 +57447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.76622038,1 +57445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.1844813,1 +57448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.405453766,1 +57451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.741173527,1 +57450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.722083638,1 +57452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.045742694,1 +57449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.024690879,1 +57453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.591919822,1 +57454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.675761914,1 +57455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.006896748,1 +57456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.815474295,1 +57459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.302947037,1 +57460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.138903179,1 +57457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.135123099,1 +57461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.620990278,1 +57458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.476679722,1 +57462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.952792632,1 +57463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.064773692,1 +57465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.037100291,1 +57466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,7.888769121,1 +57467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.698108466,1 +57464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.991132809,1 +57468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.213985165,1 +57469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.231355599,1 +57470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.722015122,1 +57471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.347150103,1 +57472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.8344427,1 +57473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.193496808,1 +57475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.934058587,1 +57474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.860796323,1 +57477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.722897717,1 +57478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.544716904,1 +57476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.733291159,1 +57479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.616916378,1 +57480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.133632323,1 +57481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.941408888,1 +57483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.933234959,1 +57482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.062683502,1 +57484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.285335608,1 +57485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.362148986,1 +57487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.558134029,1 +57486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.938213051,1 +57488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.699172702,1 +57489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.030566509,1 +57491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.81993575,1 +57492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.43426819,1 +57493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.687580083,1 +57490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.261439571,1 +57494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,8.898476717,1 +57497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.539175956,1 +57496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.189495305,1 +57495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.839813336,1 +57499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.294538627,1 +57498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.912232584,1 +57500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.417570188,1 +57501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,8.063615179,1 +57502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.254591638,1 +57504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.222106703,1 +57503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.11731257,1 +57505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.362123466,1 +57506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.251992777,1 +57507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.925661667,1 +57508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.470418519,1 +57509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,9.057512816,1 +57511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.449861156,1 +57513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.942814569,1 +57510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.289016074,1 +57512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.361566404,1 +57514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.333662644,1 +57516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,0.90879767,1 +57515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.054911826,1 +57517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.333810309,1 +57518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.36149677,1 +57519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.077566607,1 +57520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.184026606,1 +57522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,8.027593376,1 +57521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.532791949,1 +57523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.027876725,1 +57524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.938977032,1 +57525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.238994386,1 +57528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.453269821,1 +57526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.147722277,1 +57527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.330820276,1 +57530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.456649493,1 +57531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,7.583409083,1 +57532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.349800653,1 +57533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.348190247,1 +57529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.419176067,1 +57534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.334544224,1 +57535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.511672273,1 +57536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.452651316,1 +57538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.930080491,1 +57539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.042100207,1 +57537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.298148588,1 +57540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.645367668,1 +57541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.675741384,1 +57543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.07286171,1 +57542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.50241197,1 +57544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.144122524,1 +57545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.893558752,1 +57546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.575332745,1 +57547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.201103613,1 +57548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.020244603,1 +57549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.738921249,1 +57551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.624886359,1 +57552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.661597715,1 +57553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.251157464,1 +57555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.556891703,1 +57550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.260801765,1 +57554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.411131853,1 +57556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,7.204851883,1 +57558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,0.930235228,1 +57559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.364835439,1 +57557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.249441035,1 +57560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.872514304,1 +57561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.954390435,1 +57563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.649858657,1 +57562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.659077507,1 +57564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.980235272,1 +57566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.063655443,1 +57567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.782298045,1 +57568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.228790076,1 +57569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.741012439,1 +57570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.554375133,1 +57571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.822251638,1 +57565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.73249567,1 +57573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,7.470738882,1 +57575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.771586565,1 +57572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.376944794,1 +57574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,7.197658948,1 +57576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.059468867,1 +57578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.275274192,1 +57577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.86289447,1 +57579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.636909017,1 +57580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.345940368,1 +57581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.900673622,1 +57582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.633349916,1 +57583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.525157082,1 +57584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.63252377,1 +57585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.335331811,1 +57587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.097399294,1 +57586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.40026625,1 +57589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.292431691,1 +57588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.428680348,1 +57590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.391468817,1 +57591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.441861184,1 +57592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.428623318,1 +57593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.607394981,1 +57594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.609812004,1 +57595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.485037278,1 +57596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.808490376,1 +57597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.963262376,1 +57598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.698407856,1 +57599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.580633408,1 +57600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.811257719,1 +57601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.211366768,1 +57602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.291669735,1 +57604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.357238047,1 +57603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,7.079927094,1 +57605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.136208493,1 +57606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.727221065,1 +57607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.912242857,1 +57609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.321877127,1 +57608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.345039465,1 +57610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.446036723,1 +57611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.394254058,1 +57612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.040625392,1 +57614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.063648107,1 +57613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,7.883115732,1 +57615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.579529956,1 +57616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.255499604,1 +57617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.192699729,1 +57618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.958011214,1 +57620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.157897335,1 +57619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.430210064,1 +57621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.147089045,1 +57622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,12.35417831,1 +57623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.712652833,1 +57624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.691364264,1 +57625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.244206614,1 +57626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.313467871,1 +57627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.028201396,1 +57628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.036182686,1 +57629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.350228084,1 +57631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.126383462,1 +57632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.932061596,1 +57630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.263194988,1 +57633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.148816698,1 +57634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.494299241,1 +57635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.624182228,1 +57637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.762979438,1 +57638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.475216071,1 +57639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.185072392,1 +57636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.974322321,1 +57640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.303641147,1 +57641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.964574016,1 +57642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.991014659,1 +57644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.131262464,1 +57643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.350089611,1 +57645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.57574765,1 +57646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.054141102,1 +57647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.65077857,1 +57650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.116487877,1 +57648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.222238608,1 +57649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.922619791,1 +57651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.079509909,1 +57652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.094481798,1 +57653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.01843884,1 +57655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.941555813,1 +57654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.683553669,1 +57657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.371548324,1 +57658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.229018077,1 +57659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,7.634494395,1 +57660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,7.418953345,1 +57661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.590389885,1 +57662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.456157703,1 +57656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.173011377,1 +57663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.818007915,1 +57665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.077285058,1 +57664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.14063112,1 +57666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.931736419,1 +57667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.372598031,1 +57668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.19597777,1 +57669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,0.931249837,1 +57670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.622136023,1 +57671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.647942102,1 +57672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.0599404,1 +57673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.327162926,1 +57674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.305528501,1 +57675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.698862175,1 +57676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.042403063,1 +57677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.001291213,1 +57679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.514481666,1 +57681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.587283661,1 +57680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.155376047,1 +57678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.37721586,1 +57682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.612318736,1 +57683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,7.620185628,1 +57684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.067403052,1 +57685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.686817742,1 +57686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.610941981,1 +57687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.001235926,1 +57688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.988048196,1 +57689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.784247551,1 +57690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.257388259,1 +57691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.807614751,1 +57692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.407905487,1 +57694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.688791491,1 +57696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,10.34078811,1 +57695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.669736475,1 +57693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.881750459,1 +57698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.281461111,1 +57697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.010686036,1 +57699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.340102275,1 +57702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.459773839,1 +57701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.639232502,1 +57700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.46392493,1 +57703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.606695757,1 +57704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.176234582,1 +57705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.286608545,1 +57707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.076176002,1 +57706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.603349266,1 +57708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.220655367,1 +57711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.656001469,1 +57709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.338132164,1 +57710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.978315984,1 +57712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.6172868,1 +57713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.341728396,1 +57714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.499200476,1 +57715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.481455223,1 +57716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.110634688,1 +57717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.797821065,1 +57718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.712102172,1 +57719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.235610819,1 +57720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,8.616301116,1 +57721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.718384676,1 +57723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.600291724,1 +57722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.853694181,1 +57724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.795635221,1 +57725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.550113517,1 +57727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.328821517,1 +57726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.009707476,1 +57728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.900206215,1 +57730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.545079833,1 +57729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.902494776,1 +57731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.066920493,1 +57732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.830186809,1 +57736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.288874208,1 +57735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.850486936,1 +57734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.250127188,1 +57733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.119839703,1 +57737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.178272309,1 +57738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.758129464,1 +57739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.678804386,1 +57740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.47973379,1 +57743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.949100889,1 +57741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.499958113,1 +57742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.006086653,1 +57745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.227415271,1 +57746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.327988758,1 +57747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.126956147,1 +57744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.310956416,1 +57748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.695500662,1 +57749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.350827011,1 +57750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,8.681152684,1 +57754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.863620187,1 +57753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.432211091,1 +57752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,7.847828996,1 +57751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.033478444,1 +57756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.15593745,1 +57755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.245112683,1 +57757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.239667766,1 +57758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.13743696,1 +57759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.126877914,1 +57761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.727447037,1 +57760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.74044912,1 +57763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.785565899,1 +57762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.70810715,1 +57764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.003727234,1 +57765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.209011688,1 +57766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.137787837,1 +57767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.261814696,1 +57769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.965199733,1 +57770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.958896101,1 +57771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.590628052,1 +57772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.622843291,1 +57768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.632121856,1 +57775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.37681762,1 +57773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.187359961,1 +57776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.506125464,1 +57774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.271807098,1 +57777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.482983395,1 +57779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.445438031,1 +57778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.669868329,1 +57780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.849998061,1 +57781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.38826175,1 +57782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.43192593,1 +57783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.774745757,1 +57784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,9.234600107,1 +57785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.587939697,1 +57786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.39683667,1 +57788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.828999449,1 +57789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.210610623,1 +57787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.263777749,1 +57790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.835879049,1 +57791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.458541151,1 +57792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.100591173,1 +57794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.475526805,1 +57795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.663991215,1 +57793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.054470126,1 +57796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.971208732,1 +57797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.293061574,1 +57798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.307574611,1 +57799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,7.161448505,1 +57800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.239927267,1 +57801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.899304375,1 +57802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.918978327,1 +57805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.837916274,1 +57804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.706806326,1 +57806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.42592264,1 +57807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.797107242,1 +57803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.720057744,1 +57808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.557350507,1 +57809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.220083424,1 +57810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.829546376,1 +57812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.65903367,1 +57813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.262852187,1 +57811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.205992461,1 +57814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.268452702,1 +57815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.774180474,1 +57816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.77054055,1 +57818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.444560846,1 +57817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.338266136,1 +57819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.087216348,1 +57820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.254147674,1 +57821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.310880585,1 +57822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.653598379,1 +57823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.476599952,1 +57824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.413891379,1 +57826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.272704864,1 +57827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.166793387,1 +57828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.687862395,1 +57829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.990711877,1 +57831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.206109039,1 +57830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.734348116,1 +57825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.960539213,1 +57832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.809819126,1 +57835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.559577289,1 +57834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,8.89212319,1 +57833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.694126232,1 +57836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.955914722,1 +57838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.264330168,1 +57837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.348432253,1 +57839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.680093007,1 +57840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,7.396045679,1 +57841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.685107162,1 +57843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.562434,1 +57844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.401694461,1 +57842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.046931612,1 +57845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.432772087,1 +57846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.00779308,1 +57847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.517693581,1 +57849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.503385665,1 +57848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.906301063,1 +57851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.972633167,1 +57850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.256981894,1 +57852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.13586375,1 +57855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.338088576,1 +57854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.132414691,1 +57853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.915223875,1 +57856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.091367975,1 +57857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.825648566,1 +57858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.702969996,1 +57859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.776116212,1 +57860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.62538214,1 +57862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.425143464,1 +57861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.40512329,1 +57863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.796713677,1 +57865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.05301179,1 +57864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.753465585,1 +57866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.17604265,1 +57868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.852835957,1 +57867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.933279916,1 +57869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.588876506,1 +57870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.721034024,1 +57871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.213047058,1 +57873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.308139573,1 +57872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.55037192,1 +57874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.880940796,1 +57876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.924059512,1 +57875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.381182031,1 +57877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.781827005,1 +57878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.940765101,1 +57882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,7.910537459,1 +57880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.310520404,1 +57879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.892002787,1 +57881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.038696642,1 +57883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.362022679,1 +57884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.386242932,1 +57885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.370029927,1 +57886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.584890757,1 +57887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.294375795,1 +57888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.804766473,1 +57890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.186064059,1 +57889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.840557996,1 +57891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.361332772,1 +57892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,9.441194686,1 +57893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.181641805,1 +57894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.167973475,1 +57895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.454536692,1 +57896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,7.580490454,1 +57898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.261223966,1 +57899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.8642792,1 +57900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.756116949,1 +57897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.078684336,1 +57901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.996579673,1 +57902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.059991756,1 +57903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.157780339,1 +57905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.211202425,1 +57906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.143747662,1 +57907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.847886747,1 +57904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.380523783,1 +57908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.289261972,1 +57909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.207905494,1 +57911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.757311967,1 +57912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.671836894,1 +57910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.424982435,1 +57913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.626147523,1 +57914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.565357313,1 +57916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.53819361,1 +57915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.855255246,1 +57917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.701781419,1 +57920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.139829599,1 +57919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.48483609,1 +57921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.375640594,1 +57922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.602639014,1 +57923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,8.671706815,1 +57918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.247967127,1 +57924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.070916041,1 +57926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,7.182220337,1 +57925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.02902841,1 +57927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.809087327,1 +57928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.824015684,1 +57929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.067397185,1 +57930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.68313811,1 +57931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.329915473,1 +57932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.321276279,1 +57934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.169886851,1 +57933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.374907027,1 +57936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,8.827041885,1 +57937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.250222234,1 +57938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.943580675,1 +57939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.764829427,1 +57935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.819468288,1 +57940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.630915835,1 +57941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.580132101,1 +57942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.94566588,1 +57943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.430350739,1 +57945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.095412005,1 +57944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.665571093,1 +57946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.104079123,1 +57947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.220756301,1 +57948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.242696242,1 +57949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.374554706,1 +57950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.229981964,1 +57951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.200891285,1 +57952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.021803431,1 +57953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.189047907,1 +57954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.98867532,1 +57957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.927171316,1 +57955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.399079603,1 +57956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.365167211,1 +57958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.153294796,1 +57959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.38678804,1 +57960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,1.499823445,1 +57962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.439974966,1 +57961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.570158943,1 +57963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.578690285,1 +57964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.957236466,1 +57965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.51439064,1 +57966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.714752171,1 +57967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.19142407,1 +57969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,7.210251106,1 +57970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.472604542,1 +57968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.197061628,1 +57973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.314950698,1 +57971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.666785216,1 +57972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.513027941,1 +57974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.352285996,1 +57975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.056359177,1 +57977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,9.040811106,1 +57976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.255471973,1 +57980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.503228929,1 +57979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,8.884844461,1 +57981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.791210694,1 +57978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.07734979,1 +57984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.952672562,1 +57983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.381091603,1 +57982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.16966144,1 +57985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,4.98037337,1 +57987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.594869006,1 +57989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,6.598519265,1 +57986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,5.985470727,1 +57988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.069926085,1 +57990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.739634215,1 +57992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.044141191,1 +57993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.019085435,1 +57994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.50605296,1 +57995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.827649496,1 +57996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.95556134,1 +57991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.666199021,1 +57997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.057856111,1 +57998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.467604006,1 +57999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,2.197990632,1 +58000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,8,1,3.115768329,1 +67001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.604733674,1 +67002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.284289644,1 +67004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.732490697,1 +67006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.958915626,1 +67003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.279389459,1 +67005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.238174274,1 +67007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,7.707482698,1 +67008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.325917076,1 +67010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.311982915,1 +67009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.037696947,1 +67011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.043530238,1 +67012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.845218679,1 +67013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.480839082,1 +67014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.748157186,1 +67015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.265106184,1 +67016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.527506877,1 +67017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.389559026,1 +67018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.347967188,1 +67019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.797733368,1 +67020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.680030166,1 +67021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.224716788,1 +67023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.497714955,1 +67024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.638892705,1 +67025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.888938546,1 +67022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.779960668,1 +67026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.203442449,1 +67027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.699496749,1 +67028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.841055251,1 +67030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.366185245,1 +67029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.198439376,1 +67031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.782154971,1 +67033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.517011587,1 +67034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.049120057,1 +67032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.772382919,1 +67035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.646677421,1 +67036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.087957167,1 +67038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.826546189,1 +67037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.739449116,1 +67039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.979496034,1 +67040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.642322962,1 +67041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.648094183,1 +67043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.945452368,1 +67044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.658106039,1 +67045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.082656057,1 +67042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.941715388,1 +67046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.19518492,1 +67047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.428324922,1 +67048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.552073529,1 +67049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.053689843,1 +67052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.141439536,1 +67051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.674715789,1 +67050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.767843116,1 +67053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.410687302,1 +67056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.886680678,1 +67054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.138307464,1 +67055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.256176134,1 +67058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.684504981,1 +67059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.374837669,1 +67060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.94718828,1 +67057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.541499567,1 +67062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.133635609,1 +67061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.622814655,1 +67063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.858318578,1 +67064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.769617832,1 +67065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.345413032,1 +67067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.92339116,1 +67066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.477539452,1 +67068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.670777783,1 +67069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.561071042,1 +67070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.910728893,1 +67071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.027229217,1 +67072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.483318271,1 +67073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.622505722,1 +67074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.062101936,1 +67075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.576524402,1 +67078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.18940662,1 +67077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.087974272,1 +67079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.083308866,1 +67081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.947151477,1 +67082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.849274454,1 +67076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.900479472,1 +67080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,7.04192558,1 +67083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.894828744,1 +67084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.386206632,1 +67085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.781877831,1 +67086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.988768296,1 +67087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.85404212,1 +67089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.058085942,1 +67088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.537661464,1 +67090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.581477712,1 +67091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.266319641,1 +67093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.321222771,1 +67094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.622426559,1 +67096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.131195129,1 +67092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.699998008,1 +67095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.603024332,1 +67097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.993475756,1 +67100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.57172759,1 +67099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.683074722,1 +67098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.067971571,1 +67101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.172790629,1 +67102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.69226312,1 +67103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.414724122,1 +67104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.27099219,1 +67105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.769307686,1 +67106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.060327571,1 +67108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.068499604,1 +67107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.494097715,1 +67109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.036253652,1 +67111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.869074009,1 +67110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.535058657,1 +67113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.59271606,1 +67112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.643829613,1 +67114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.425071243,1 +67115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.674013499,1 +67116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.786793428,1 +67117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.003684179,1 +67118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.605844317,1 +67119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.003284813,1 +67120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.475239266,1 +67121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.128524762,1 +67122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.503413919,1 +67123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.358434021,1 +67124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.517444788,1 +67126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.435480578,1 +67125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.906729833,1 +67127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.256477441,1 +67128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.169791807,1 +67130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.276229182,1 +67129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.765435916,1 +67131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.990502068,1 +67132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.630551519,1 +67133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.888267545,1 +67134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.763050258,1 +67135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.066468903,1 +67136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.62130865,1 +67137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.475099398,1 +67138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.655339015,1 +67139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.004664479,1 +67140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.322469613,1 +67142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.213937352,1 +67141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.185899096,1 +67144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.892169208,1 +67143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.239252706,1 +67145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.251621637,1 +67147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.753585178,1 +67148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.247062552,1 +67146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.393935221,1 +67149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.032528271,1 +67150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.186757103,1 +67151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.269884097,1 +67153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.821020893,1 +67154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.518029505,1 +67155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.377460108,1 +67152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.65312896,1 +67156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.646241402,1 +67157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.587503147,1 +67158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.317083273,1 +67159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,7.048318987,1 +67161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.456508554,1 +67160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.137370745,1 +67162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.834234468,1 +67164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.26338237,1 +67163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.92895304,1 +67165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.505081806,1 +67166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.894680529,1 +67167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.200488325,1 +67169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.304363382,1 +67170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.400478887,1 +67171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.422402336,1 +67168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.171960808,1 +67172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.055338651,1 +67173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.348911561,1 +67174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.396900425,1 +67175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.365237828,1 +67177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.264571571,1 +67176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.045900576,1 +67180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.22207226,1 +67178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.86001696,1 +67179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.303796953,1 +67181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.553790355,1 +67183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.966991374,1 +67182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.689636974,1 +67185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.245122126,1 +67186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,0.771503482,1 +67187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.749539506,1 +67188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.978635715,1 +67184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.135561639,1 +67189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.643833682,1 +67190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.466174121,1 +67192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.169685832,1 +67191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.346659369,1 +67193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.628868159,1 +67194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.250997858,1 +67196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.2281609,1 +67195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.684785416,1 +67197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.58014601,1 +67199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.883025106,1 +67198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.410867004,1 +67200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.303427152,1 +67201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.200463564,1 +67202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.444824026,1 +67203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.974880756,1 +67207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.541019729,1 +67205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.078490304,1 +67206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.77766213,1 +67204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.42639477,1 +67209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.483865058,1 +67208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.919594836,1 +67211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.498437914,1 +67210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.680223094,1 +67213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.280729944,1 +67212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.930229869,1 +67214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.647124034,1 +67215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.284172357,1 +67216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.545514711,1 +67217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.760279093,1 +67218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.167805142,1 +67220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.553979999,1 +67221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.39051262,1 +67219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.516541148,1 +67222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,0.855487693,1 +67223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.633662815,1 +67224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.34897347,1 +67226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.404292411,1 +67225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.762456863,1 +67227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.37562181,1 +67228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.295016558,1 +67229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.01929301,1 +67230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.948699497,1 +67231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.43818239,1 +67232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.06335001,1 +67233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.621156895,1 +67234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.142461584,1 +67236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.907368886,1 +67235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.572450714,1 +67237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.600842474,1 +67239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.106926222,1 +67240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.354583207,1 +67241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,7.854240049,1 +67238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.399866815,1 +67242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.247275455,1 +67243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.2946077,1 +67244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.249073614,1 +67245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.731386927,1 +67246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.114020095,1 +67247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.253478092,1 +67248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.95835141,1 +67250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.255191143,1 +67249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.919032081,1 +67251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.96729704,1 +67252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.673954181,1 +67253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.646426012,1 +67254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.099760596,1 +67256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.371561721,1 +67257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.233820977,1 +67255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.18553059,1 +67259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.939020716,1 +67260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.011613734,1 +67261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.574204,1 +67258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.212860018,1 +67262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.481145856,1 +67263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.929839641,1 +67264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.977709659,1 +67265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.067058682,1 +67268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.438449842,1 +67266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.863269284,1 +67267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.548774023,1 +67269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.060768864,1 +67271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.47701264,1 +67272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.420243075,1 +67270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.831231783,1 +67273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.035395397,1 +67274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.150533169,1 +67275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.95974252,1 +67276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.116104893,1 +67278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.581666814,1 +67279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.258741443,1 +67280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.349442211,1 +67277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.973540405,1 +67282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,7.413085656,1 +67283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.560382247,1 +67281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.15729282,1 +67284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.082908161,1 +67285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.89708117,1 +67287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.000755853,1 +67288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.624968399,1 +67289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.578941904,1 +67290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.379373122,1 +67286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.31795904,1 +67291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.721978213,1 +67292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.020984253,1 +67293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.217813897,1 +67294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.611937124,1 +67296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.622498659,1 +67297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.459341246,1 +67298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.67237368,1 +67301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.243435258,1 +67300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.426370503,1 +67299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.187058714,1 +67295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.174947279,1 +67303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.490573942,1 +67304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.102617341,1 +67305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.537788979,1 +67306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.679752748,1 +67302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.879241615,1 +67307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.881074239,1 +67308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.861553472,1 +67309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.290296121,1 +67311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.458203417,1 +67310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.49120042,1 +67315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.145891201,1 +67313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.963455918,1 +67314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.307085804,1 +67312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.22500235,1 +67316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.922588015,1 +67317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.897059337,1 +67319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.664432016,1 +67318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.335785796,1 +67321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.677702452,1 +67322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.078577784,1 +67323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.693831419,1 +67320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.145503024,1 +67324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.05795407,1 +67325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.370719317,1 +67326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.748797526,1 +67327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.787304116,1 +67328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.36043544,1 +67329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.978884754,1 +67330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.485013351,1 +67331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.729105521,1 +67332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.964529437,1 +67333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.932754946,1 +67334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.373490007,1 +67335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.253507552,1 +67336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.847274009,1 +67337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.754981521,1 +67338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.47682395,1 +67340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.681821468,1 +67341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,7.949297875,1 +67339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.600917433,1 +67344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.476748737,1 +67343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.759613729,1 +67345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.029614203,1 +67346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.144036971,1 +67347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.047638788,1 +67348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.99236356,1 +67342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.305934689,1 +67350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.311561745,1 +67351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.374894753,1 +67349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.609020542,1 +67352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.920590182,1 +67355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.096975265,1 +67353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.214033785,1 +67354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.722174057,1 +67356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.683288109,1 +67357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.688877471,1 +67359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.940484063,1 +67360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.729999866,1 +67358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.851309004,1 +67361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.206229718,1 +67362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.557635385,1 +67364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.179046697,1 +67365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.314782748,1 +67366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.8414996,1 +67367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.284880029,1 +67368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.947638228,1 +67369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.441149389,1 +67363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.809014667,1 +67370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.276460504,1 +67371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.64830888,1 +67372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.056542293,1 +67374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.985626564,1 +67373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.794633145,1 +67375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.079832143,1 +67376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.806154873,1 +67378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.149436104,1 +67377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.145738763,1 +67379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.801727879,1 +67380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.604802023,1 +67382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.088353174,1 +67381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.682481463,1 +67383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.624782523,1 +67384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.796796351,1 +67386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.491881307,1 +67387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.654774145,1 +67388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.737065899,1 +67385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.797006677,1 +67389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.208000719,1 +67390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.293579567,1 +67391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.461613227,1 +67392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.198443682,1 +67394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.760345388,1 +67393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.1559145,1 +67395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.336207725,1 +67396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.768481897,1 +67397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.014058856,1 +67398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,7.64902413,1 +67399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.486669649,1 +67401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.492492206,1 +67400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.376161572,1 +67402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.018127125,1 +67403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.888232107,1 +67404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.028254177,1 +67407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.336309976,1 +67405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.918758638,1 +67406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.695120169,1 +67408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.209369225,1 +67409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.139219882,1 +67410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.07138931,1 +67412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.969445078,1 +67411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.721121636,1 +67413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.082638077,1 +67415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.710855906,1 +67414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.806309234,1 +67417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.265537001,1 +67416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.643693541,1 +67418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.233894712,1 +67419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.377171208,1 +67421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.400324694,1 +67420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.78299309,1 +67422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.909803299,1 +67423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.231750544,1 +67424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.127347765,1 +67425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.597460277,1 +67426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.622288821,1 +67428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.211927266,1 +67430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.070284477,1 +67427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.279046629,1 +67431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.721019547,1 +67432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.740059638,1 +67433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.421231207,1 +67429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.883012823,1 +67435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.220346958,1 +67434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.656033574,1 +67437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.867980764,1 +67436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.411680076,1 +67438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.136392883,1 +67439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.713250508,1 +67440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.221223998,1 +67441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.597015414,1 +67442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.61389063,1 +67443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.366368413,1 +67444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.233175651,1 +67447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.521207804,1 +67446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,7.228423756,1 +67445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.510836368,1 +67451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.333738409,1 +67448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.495962883,1 +67450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.438929298,1 +67449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.142539347,1 +67453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.792263838,1 +67452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.6491697,1 +67454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.95667768,1 +67455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.533477556,1 +67456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.754707403,1 +67458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.012783721,1 +67457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.380368524,1 +67459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.662009043,1 +67460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.402836642,1 +67461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.412910773,1 +67462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.501385324,1 +67463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.733004859,1 +67465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.935702051,1 +67466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,9.333939807,1 +67467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.770926678,1 +67464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.785839675,1 +67468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.851239127,1 +67469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.342973988,1 +67471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.19196866,1 +67472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.744642689,1 +67473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,0.981842299,1 +67474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.429863309,1 +67475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.726750221,1 +67476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.427370096,1 +67470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.44797728,1 +67477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,7.650095468,1 +67478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.088585015,1 +67479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.88285958,1 +67480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.560993961,1 +67481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.813497388,1 +67482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.62598447,1 +67484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.520761211,1 +67483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.64250287,1 +67485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.999351106,1 +67486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.103263801,1 +67488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.873670189,1 +67487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.762365331,1 +67489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.81372091,1 +67490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.089017235,1 +67491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.223398014,1 +67492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.567754187,1 +67493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.746116224,1 +67494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.176465138,1 +67495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.78275474,1 +67496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.415913048,1 +67497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.630220232,1 +67499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.989788349,1 +67498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.202199358,1 +67500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.64098486,1 +67501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.733522625,1 +67502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.76864308,1 +67503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.637454329,1 +67504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.905083312,1 +67505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.095419195,1 +67506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,7.504285684,1 +67507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.382819921,1 +67508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.861346332,1 +67509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.254990753,1 +67511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.012324708,1 +67513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.632632868,1 +67510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.5283358,1 +67512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.124037847,1 +67514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.87175083,1 +67515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.992496262,1 +67516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.504181127,1 +67517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.152504603,1 +67518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.632477791,1 +67519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.422115255,1 +67520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.426223265,1 +67522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.127465501,1 +67521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.847618675,1 +67523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.318561007,1 +67526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.864389788,1 +67524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.732365053,1 +67525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.049360173,1 +67527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.140963994,1 +67528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.853712223,1 +67529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.589204403,1 +67530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.80135437,1 +67531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.995017789,1 +67532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.98912576,1 +67533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.113499127,1 +67534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.788599978,1 +67536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.557099709,1 +67538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.511001435,1 +67537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.386476514,1 +67535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.519975195,1 +67539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.103231534,1 +67542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.933218065,1 +67540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.582602062,1 +67541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.082921781,1 +67546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.183235164,1 +67545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.904332693,1 +67547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.203236514,1 +67548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.06976928,1 +67543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.588219971,1 +67544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.644927129,1 +67549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.142044567,1 +67552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.845196604,1 +67550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.954360396,1 +67553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.060029969,1 +67551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.801805998,1 +67554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.48263821,1 +67555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.089421088,1 +67557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.553122469,1 +67558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.97133595,1 +67556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.711973981,1 +67559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.455243583,1 +67560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.681125826,1 +67561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.551520322,1 +67562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,8.160151114,1 +67564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.705053151,1 +67563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.380954825,1 +67566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.160615432,1 +67568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.467755199,1 +67569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.711559544,1 +67565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.228306977,1 +67570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.720192546,1 +67572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.694567971,1 +67567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.25937022,1 +67571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.180977963,1 +67574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.830921311,1 +67575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.315742552,1 +67576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.253072996,1 +67573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.778163246,1 +67577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.065652015,1 +67578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.764056232,1 +67579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.31991838,1 +67580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.780743597,1 +67582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.248497278,1 +67583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.472723914,1 +67584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.265730766,1 +67586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.278260228,1 +67581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.731696855,1 +67587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.771834458,1 +67585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.164936576,1 +67589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.658225628,1 +67591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.071462931,1 +67588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.141395155,1 +67590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,7.194825859,1 +67592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.524844882,1 +67593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.686306453,1 +67594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.79892221,1 +67596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.401226258,1 +67595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.11186063,1 +67597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.927179912,1 +67598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.004075406,1 +67600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.220164223,1 +67601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.698420548,1 +67599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.085387052,1 +67603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.843447504,1 +67602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.806111276,1 +67605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.994534075,1 +67604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.641364383,1 +67607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.649815441,1 +67606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.549880612,1 +67609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.121781611,1 +67608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.891704296,1 +67610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.693983589,1 +67611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.312052073,1 +67612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.502304082,1 +67613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.16071462,1 +67614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.835720352,1 +67615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.641943791,1 +67616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.168979349,1 +67619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.628281528,1 +67620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.452015957,1 +67618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.862685188,1 +67617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.419012442,1 +67621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.28855065,1 +67623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.332039444,1 +67622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.5489702,1 +67624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.324400354,1 +67625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.644241632,1 +67626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.052778151,1 +67627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.598974021,1 +67628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.617639313,1 +67629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.274663564,1 +67630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.205871894,1 +67631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.142449287,1 +67632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.852694977,1 +67635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.533162887,1 +67633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.317694789,1 +67634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.901003665,1 +67636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.442509966,1 +67637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,7.44250244,1 +67639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.783225011,1 +67640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.005176569,1 +67641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.010509942,1 +67638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.205298138,1 +67642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.057096866,1 +67643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.450663701,1 +67644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.207826807,1 +67646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,9.423160283,1 +67647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.526691284,1 +67648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.090222219,1 +67645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.086393505,1 +67650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.005188408,1 +67649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.79883452,1 +67651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.393391941,1 +67652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.296723004,1 +67654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.405351417,1 +67653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.234854211,1 +67655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.87917183,1 +67656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.257066267,1 +67657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.103837432,1 +67658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.254851813,1 +67660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.594384106,1 +67661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.250704596,1 +67662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.190259489,1 +67663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.624819265,1 +67659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.129732451,1 +67665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.891610682,1 +67664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.031602585,1 +67666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.176349945,1 +67667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.310208804,1 +67668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.799553171,1 +67669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.046340048,1 +67671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.605110815,1 +67670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.650124768,1 +67672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.479270896,1 +67673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.150708415,1 +67675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.474504459,1 +67676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.392106054,1 +67674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.64265228,1 +67677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,7.504310103,1 +67678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.23824297,1 +67679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.189753312,1 +67681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.260772432,1 +67682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.994245954,1 +67680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,7.894875618,1 +67683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.6464067,1 +67684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.452946985,1 +67685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.914529229,1 +67686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.855425055,1 +67687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.159425581,1 +67688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.89220929,1 +67689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.149078321,1 +67690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.776771259,1 +67691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.100335948,1 +67692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.193900586,1 +67693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.033798394,1 +67694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.355741244,1 +67695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.298955836,1 +67696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.995962094,1 +67697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.962359976,1 +67698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.454361293,1 +67701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.050032345,1 +67703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.762123874,1 +67702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.46407436,1 +67699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.826170329,1 +67700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.259450419,1 +67704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.223649228,1 +67705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.352973747,1 +67707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.860948345,1 +67708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.572784433,1 +67706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.457868477,1 +67709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.680332617,1 +67710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.306431806,1 +67712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,7.050216605,1 +67714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.834929875,1 +67711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.890815001,1 +67715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.560733545,1 +67713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.779356251,1 +67717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.988458067,1 +67719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.626051859,1 +67718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.812260006,1 +67720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.844220325,1 +67716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.816590039,1 +67721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.007867312,1 +67722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.345391007,1 +67723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.353657514,1 +67725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.743823084,1 +67724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.146555928,1 +67726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.166623994,1 +67727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.958685269,1 +67729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.993765567,1 +67730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.699696473,1 +67731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.702654486,1 +67728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.379014196,1 +67732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.794593938,1 +67733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.995432121,1 +67734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.266946607,1 +67735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.954998033,1 +67736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.137944031,1 +67738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.278962154,1 +67739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.90340001,1 +67740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.112854476,1 +67737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.115064017,1 +67741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.8233667,1 +67743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.623870061,1 +67744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.893754597,1 +67742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.877958857,1 +67745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.108426989,1 +67746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.161237108,1 +67747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.624757987,1 +67748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.428940339,1 +67749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.792857664,1 +67750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.512269287,1 +67751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.892786619,1 +67752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.767869357,1 +67753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.620107232,1 +67757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.400013992,1 +67756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.379082721,1 +67754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.194913605,1 +67755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.677257769,1 +67760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.095216469,1 +67761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.709043615,1 +67758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.437944065,1 +67759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.088288211,1 +67762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.024373716,1 +67764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.614885078,1 +67763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,8.600462739,1 +67765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.238490296,1 +67766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.769678759,1 +67767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.794283268,1 +67768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.131229584,1 +67769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.861843027,1 +67771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.642491197,1 +67773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.011241641,1 +67772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.851549646,1 +67770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.712942881,1 +67775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.189703639,1 +67774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.483586093,1 +67776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.300072713,1 +67777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.076572793,1 +67778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.282714352,1 +67780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.029448843,1 +67779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.282429973,1 +67781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.819434076,1 +67782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.288222458,1 +67783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,7.733041677,1 +67785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.143106083,1 +67784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.564383936,1 +67786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.50921973,1 +67789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.55347067,1 +67790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.437435391,1 +67787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.134456948,1 +67788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.923094583,1 +67794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.097988322,1 +67793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.701019711,1 +67792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.559393097,1 +67796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.180565726,1 +67797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.76921594,1 +67795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.726110683,1 +67791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.647431833,1 +67798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.989500938,1 +67799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.91996356,1 +67800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.43382388,1 +67803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.544535017,1 +67801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.309520308,1 +67802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.542359144,1 +67804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.530187711,1 +67806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.167488597,1 +67805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.197347389,1 +67807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.47592405,1 +67808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.445854206,1 +67809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.486931326,1 +67810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.472485288,1 +67811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.489729945,1 +67812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.958817334,1 +67813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.164045764,1 +67814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.149801367,1 +67816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.96833609,1 +67818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.314025532,1 +67817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.444342812,1 +67815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.157258754,1 +67819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.396327724,1 +67821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.844880106,1 +67822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.037990325,1 +67820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.754380318,1 +67823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.475829823,1 +67826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.062566464,1 +67824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.367222062,1 +67825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.42105571,1 +67827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.487429117,1 +67829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.097398042,1 +67828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.555485715,1 +67831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.752315313,1 +67830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.494028887,1 +67832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.875647023,1 +67834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.120875575,1 +67833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.126716918,1 +67835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.53640172,1 +67836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.626414791,1 +67837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,7.655204879,1 +67839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.388233801,1 +67840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.325278164,1 +67838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.877402922,1 +67841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.880592696,1 +67843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.375202175,1 +67842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.611854004,1 +67845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.178917781,1 +67844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.829354538,1 +67846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.225242376,1 +67848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.825543377,1 +67847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.102959819,1 +67849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.89347951,1 +67851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.64470426,1 +67853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.961903164,1 +67850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.828160853,1 +67852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.722536931,1 +67854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.83062259,1 +67855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.988692716,1 +67856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.441994853,1 +67857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.926396327,1 +67858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.298500201,1 +67860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.209181408,1 +67861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.414363729,1 +67862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.106526412,1 +67863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.567848652,1 +67859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.490118435,1 +67864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.525511774,1 +67867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.961150732,1 +67866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.097348574,1 +67868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.792873978,1 +67865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.549373954,1 +67869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,7.146909056,1 +67870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.521267608,1 +67872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.227255314,1 +67871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.260895603,1 +67873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.976756154,1 +67874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.385072953,1 +67875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.190603587,1 +67876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.741013231,1 +67878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.362718806,1 +67879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.580876178,1 +67877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.029583035,1 +67880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.294171964,1 +67883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.234420533,1 +67881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.992594074,1 +67882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.552289648,1 +67885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.850928768,1 +67884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.696433771,1 +67886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.657972593,1 +67887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.360266396,1 +67890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.467182644,1 +67889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.502852215,1 +67888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.100052567,1 +67891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.719996029,1 +67892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.368846018,1 +67894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.940672549,1 +67895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.348042902,1 +67893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.023031583,1 +67896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.745763051,1 +67898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.820673906,1 +67897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.398664356,1 +67899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,9.412586462,1 +67900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.548186715,1 +67901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.071333373,1 +67903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.089986821,1 +67902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.664639496,1 +67904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.806907038,1 +67905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.243509457,1 +67906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.154291108,1 +67907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.596106258,1 +67908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.503146397,1 +67909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.137659877,1 +67911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.684280795,1 +67913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.734691428,1 +67910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.091035507,1 +67912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.251278634,1 +67915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.255368604,1 +67914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.390088449,1 +67916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.417568456,1 +67917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.409637389,1 +67918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.957457852,1 +67919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.293429278,1 +67920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.308272217,1 +67921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.444628812,1 +67922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.012492308,1 +67924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.721168615,1 +67923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,7.073245628,1 +67925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.26484626,1 +67926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.67429526,1 +67927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.440342161,1 +67929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.648986267,1 +67930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.034920693,1 +67931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.165101327,1 +67928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.465051481,1 +67932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.317651874,1 +67933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.533577651,1 +67934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.571012543,1 +67936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.23430752,1 +67935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.584043533,1 +67937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.17243296,1 +67938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.441122061,1 +67939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.890792462,1 +67940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.596782749,1 +67941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.852943532,1 +67942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.669107393,1 +67944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.945447565,1 +67943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.633464663,1 +67945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.655879376,1 +67946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.433470321,1 +67948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.064878017,1 +67950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.043179902,1 +67949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.159270481,1 +67951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.739658166,1 +67953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.905704164,1 +67952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.239684661,1 +67954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.690744647,1 +67947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.343779918,1 +67956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.391326285,1 +67955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.012217024,1 +67957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.623959261,1 +67958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.424903626,1 +67960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.261379406,1 +67959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.546214582,1 +67961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.43628486,1 +67964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.784254698,1 +67962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.72986005,1 +67963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.817256062,1 +67965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.111832782,1 +67966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.749160448,1 +67968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.615309113,1 +67969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.860022383,1 +67970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.464550231,1 +67971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.722076614,1 +67967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.571136393,1 +67972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.394455619,1 +67973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.233323327,1 +67975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.206742152,1 +67974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.566491179,1 +67976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.991533855,1 +67977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.082873051,1 +67979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.948369562,1 +67978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.450808105,1 +67980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.165794652,1 +67981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.921275741,1 +67983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.46571681,1 +67982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,6.668063048,1 +67984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.395727868,1 +67985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.424621039,1 +67987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.142206214,1 +67988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.386916202,1 +67989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,5.507420545,1 +67986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.90304648,1 +67990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.545314566,1 +67991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.882540746,1 +67992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.634309189,1 +67993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,1.701861502,1 +67994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.124553677,1 +67995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,3.05772132,1 +67996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.430611016,1 +67997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.244972182,1 +67998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,4.202972085,1 +67999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,7.668910549,1 +68000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,8,1,2.269145688,1 +77002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.702696923,1 +77001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.844886262,1 +77003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.058926358,1 +77004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.31146541,1 +77005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.133543402,1 +77006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.635696935,1 +77007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.768405633,1 +77008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.026956862,1 +77009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.35388978,1 +77010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.906672738,1 +77012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.7703563,1 +77011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.752588705,1 +77013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.18407402,1 +77014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.693866691,1 +77015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.406342886,1 +77016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.545677277,1 +77017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.632523321,1 +77020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.488579313,1 +77018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.583100674,1 +77021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.759996547,1 +77019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.197987152,1 +77023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.286639307,1 +77024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.636615411,1 +77025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.089529915,1 +77027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.839914177,1 +77028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.903460744,1 +77026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.607207724,1 +77022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.698374074,1 +77030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.640274545,1 +77029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.403245795,1 +77031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.823569997,1 +77032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.086847377,1 +77034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.365798695,1 +77033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.823037621,1 +77035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.670838114,1 +77036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.491409007,1 +77038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.660862144,1 +77037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.547977565,1 +77040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.228286197,1 +77039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.349087237,1 +77041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.518906799,1 +77042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.39711679,1 +77044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.603159964,1 +77045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.692061645,1 +77046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,1.547996744,1 +77047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.113187091,1 +77043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.230620459,1 +77051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.891765306,1 +77048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.40885822,1 +77049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.909641393,1 +77050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.194901394,1 +77052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,1.900133665,1 +77053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,1.967099372,1 +77054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.328402468,1 +77055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.452398521,1 +77056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.883040712,1 +77057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.701138653,1 +77058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.854959737,1 +77059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.909650938,1 +77060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.133576348,1 +77062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.400996347,1 +77061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.391670541,1 +77063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.732835957,1 +77065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.715220483,1 +77064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.288285232,1 +77066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.286779968,1 +77067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.041603388,1 +77068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.39701053,1 +77070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.921865845,1 +77069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.352653054,1 +77071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.14551223,1 +77073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.158371299,1 +77074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.119334578,1 +77072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.286290907,1 +77075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.725332872,1 +77077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.418268539,1 +77078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.436851648,1 +77076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.017557501,1 +77081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.333226282,1 +77079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.354159126,1 +77080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.925758889,1 +77082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.837155012,1 +77084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.588536336,1 +77083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.127053045,1 +77085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.978609551,1 +77086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.55611314,1 +77087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.289261721,1 +77089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.534715132,1 +77088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.231063206,1 +77090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.243587376,1 +77092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,7.352727859,1 +77091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.309420819,1 +77093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.646045807,1 +77094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.440186428,1 +77095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.820076523,1 +77096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.612903158,1 +77098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.234779993,1 +77099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.221459725,1 +77100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.085162861,1 +77101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.864816087,1 +77102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.738443091,1 +77097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.81289205,1 +77103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.065385177,1 +77104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.168747211,1 +77105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.983784081,1 +77107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.613715527,1 +77108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.139850523,1 +77109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.579730494,1 +77106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.31072478,1 +77110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.455816017,1 +77113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.665280156,1 +77111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.833601815,1 +77112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.307119865,1 +77114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.810917128,1 +77117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.736792069,1 +77116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.345779422,1 +77115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.849585043,1 +77118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.798993924,1 +77119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.724573612,1 +77120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.529386812,1 +77123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.051356854,1 +77122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.618780742,1 +77124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.649707842,1 +77121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.460010129,1 +77126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.94288281,1 +77128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.507741046,1 +77127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,8.316455729,1 +77125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.639313682,1 +77129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.04578598,1 +77131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.462156844,1 +77132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,7.793640987,1 +77130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.274196407,1 +77133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.035271146,1 +77135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.025832463,1 +77134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.608294353,1 +77137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.891722373,1 +77138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.55016177,1 +77139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.000886017,1 +77140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.901460266,1 +77136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.65713253,1 +77142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.876159277,1 +77144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.679527572,1 +77141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.310058698,1 +77143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.668738924,1 +77145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.456400193,1 +77147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.519824504,1 +77148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.3604588,1 +77146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.160132739,1 +77149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.329412856,1 +77150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.179084354,1 +77151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.549626761,1 +77153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.356236984,1 +77152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.644911593,1 +77154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.877090121,1 +77155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.144778475,1 +77156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.482541279,1 +77157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.707791751,1 +77158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.024374691,1 +77159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.992886892,1 +77160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.149622129,1 +77163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.24408049,1 +77162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.930019793,1 +77161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.94763498,1 +77164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.433759423,1 +77165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.750786101,1 +77166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.069727853,1 +77167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.0324975,1 +77168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.778126841,1 +77169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.840842878,1 +77170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.734100051,1 +77171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.200340881,1 +77173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.466034977,1 +77174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.150780756,1 +77172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.182877665,1 +77175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.831586384,1 +77176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.748243509,1 +77177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.862000756,1 +77179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.526320239,1 +77180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.953604667,1 +77181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.804137169,1 +77178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,1.966352194,1 +77182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.183493698,1 +77183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.813938901,1 +77184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.021915744,1 +77185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.295771705,1 +77186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.887973288,1 +77187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.288039202,1 +77188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.948579458,1 +77189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.809930518,1 +77190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.313963261,1 +77191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.482715818,1 +77192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.672022608,1 +77193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.56188167,1 +77195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.120009668,1 +77194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.228715247,1 +77196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.138876142,1 +77197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.42454692,1 +77198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.223552887,1 +77199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.1537689,1 +77201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.152691305,1 +77202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.278169115,1 +77200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.6465981,1 +77203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.613460871,1 +77204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.59590203,1 +77205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.259437139,1 +77206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.785852816,1 +77207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.635706423,1 +77208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.279922424,1 +77209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.84590385,1 +77211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.274626051,1 +77210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.807929143,1 +77212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.193215437,1 +77213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.86031638,1 +77214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.485429299,1 +77215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.909826126,1 +77216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.476018469,1 +77218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.704777757,1 +77219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.394073837,1 +77220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.243585595,1 +77217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.7595214,1 +77221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.524431967,1 +77222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.493745173,1 +77223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.130383924,1 +77224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.70205232,1 +77225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,7.111067413,1 +77227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.399824811,1 +77226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.710822149,1 +77228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.759232058,1 +77229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.7611745,1 +77230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.107740099,1 +77231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.788808488,1 +77232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.824719052,1 +77233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.686914023,1 +77235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.817595711,1 +77234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.72481176,1 +77237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.877287094,1 +77238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.20652947,1 +77239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.528750255,1 +77240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.02370349,1 +77236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.391014288,1 +77241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.245092822,1 +77242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.180893803,1 +77243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.746491977,1 +77245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.367111873,1 +77244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.239204123,1 +77246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.385811583,1 +77247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.447989785,1 +77249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.88974212,1 +77248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.897800143,1 +77250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.945397175,1 +77251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.662624836,1 +77253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.0607619,1 +77254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.148805165,1 +77255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.305255468,1 +77256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.410282285,1 +77252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.150638565,1 +77257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.860407854,1 +77258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.647531123,1 +77259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.038732862,1 +77261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.36294631,1 +77262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.125252567,1 +77260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.852668407,1 +77263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.424122709,1 +77264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.852014606,1 +77266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.866878684,1 +77265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.329195451,1 +77267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.885794801,1 +77268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.043655831,1 +77270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.159656635,1 +77269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.899283251,1 +77271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.514579317,1 +77272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.857126447,1 +77273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.238354936,1 +77275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.400090808,1 +77277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,8.395759227,1 +77276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.641503202,1 +77274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.582345242,1 +77278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.714731981,1 +77280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.142755912,1 +77279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.884743952,1 +77281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.352484355,1 +77282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.836514396,1 +77283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.015156691,1 +77284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.137573998,1 +77286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.772808684,1 +77285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.014113063,1 +77287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.633187447,1 +77288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.877506738,1 +77289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.870127468,1 +77290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.36227582,1 +77291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.071508128,1 +77292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.299493786,1 +77293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.206168738,1 +77296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.394316014,1 +77295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.25562929,1 +77294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.319080564,1 +77297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.44098594,1 +77298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.926973539,1 +77299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.913967697,1 +77300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.503380129,1 +77301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.368605933,1 +77302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.745858829,1 +77303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.11988365,1 +77304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.567198761,1 +77305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.435672811,1 +77306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.952448826,1 +77307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.045369461,1 +77309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.443125072,1 +77310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.94343043,1 +77308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.685488496,1 +77311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.81640188,1 +77313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.184737284,1 +77315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.66526348,1 +77314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.15358248,1 +77316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.950046237,1 +77317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.042782923,1 +77318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.28434564,1 +77312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.760991329,1 +77319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.322067742,1 +77320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.166608476,1 +77321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.703253572,1 +77322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,1.928389788,1 +77324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.456831274,1 +77323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.754283805,1 +77325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.889121714,1 +77326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.687083428,1 +77327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.076412699,1 +77328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.131065394,1 +77330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.448863631,1 +77329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.501176596,1 +77332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.682387158,1 +77333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.746743631,1 +77331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.014664027,1 +77335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.180526396,1 +77336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.310717093,1 +77337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.595525702,1 +77334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.195870321,1 +77340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.389831462,1 +77338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.221358945,1 +77339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.56868794,1 +77341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.73059264,1 +77342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.39784956,1 +77343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.296328952,1 +77344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.535858172,1 +77345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.653096122,1 +77346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.621086605,1 +77348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.478187061,1 +77347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.205223818,1 +77351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.493355311,1 +77350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.002038077,1 +77352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.873241644,1 +77349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.896433514,1 +77354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.627960283,1 +77355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.792402464,1 +77356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.637391259,1 +77357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.231615414,1 +77353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.401842362,1 +77358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.884893944,1 +77360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.214320235,1 +77359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.366922652,1 +77361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.782429048,1 +77362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.31178102,1 +77365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.366578872,1 +77363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.552803739,1 +77366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.799580667,1 +77364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.629524855,1 +77367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.541895335,1 +77370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.085555747,1 +77368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.032349993,1 +77371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.564749054,1 +77369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.751289377,1 +77373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.139004711,1 +77372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.87637549,1 +77375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.767642433,1 +77376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.459172055,1 +77377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.954313876,1 +77378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.999096549,1 +77374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.054503545,1 +77381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.195783513,1 +77379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.507243769,1 +77382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.988594204,1 +77384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.114187183,1 +77380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.897215197,1 +77385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.850557909,1 +77383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.71232287,1 +77386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.268023043,1 +77387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.285781627,1 +77388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.47219064,1 +77390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.186079298,1 +77389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.160750697,1 +77391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.693560259,1 +77393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.610932046,1 +77394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.091445892,1 +77392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.975741968,1 +77395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.853974358,1 +77397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.169055582,1 +77398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.899092874,1 +77396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.400618188,1 +77400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.494257942,1 +77401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.655528223,1 +77399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.834825541,1 +77402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.446053622,1 +77404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.645686974,1 +77403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.575202803,1 +77405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.21486869,1 +77406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.74307349,1 +77408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.4691946,1 +77410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.382833547,1 +77409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.362152107,1 +77407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.253665643,1 +77411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.709840994,1 +77413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.547491485,1 +77414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,8.381556983,1 +77415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.506433002,1 +77412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.300549698,1 +77417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.14801189,1 +77419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.921877185,1 +77416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.76444807,1 +77418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.81424128,1 +77420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.999544968,1 +77422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.672299246,1 +77421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.92838034,1 +77423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.654000152,1 +77426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.292487771,1 +77425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.932597355,1 +77427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.004609527,1 +77424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.711661703,1 +77429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.268572055,1 +77430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.236168356,1 +77431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.876331492,1 +77428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.779352732,1 +77432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.069062184,1 +77433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.107436064,1 +77434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.08504224,1 +77435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.283351154,1 +77437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.759013485,1 +77438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.092325988,1 +77436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.093846772,1 +77439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,1.91697814,1 +77440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,9.387753363,1 +77443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.980063542,1 +77442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.679516407,1 +77444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.020250456,1 +77441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.586629375,1 +77445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.194138958,1 +77446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.60135494,1 +77448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.033500774,1 +77447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.760626644,1 +77449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.879917545,1 +77450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.27013362,1 +77452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.804875425,1 +77451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.788410804,1 +77453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.55895346,1 +77455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.966819525,1 +77457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.423135579,1 +77456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.422075663,1 +77454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.203531333,1 +77458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.199541742,1 +77459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.97151486,1 +77461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.141888592,1 +77460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.629987315,1 +77462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.470853921,1 +77463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.17677693,1 +77465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.986369582,1 +77466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.414202293,1 +77467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.819893989,1 +77468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.027595177,1 +77469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.675612945,1 +77464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.358149166,1 +77470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.74929588,1 +77471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.495338909,1 +77472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.834814688,1 +77474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,1.698112459,1 +77475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.318802696,1 +77473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.178991608,1 +77477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,7.948367784,1 +77479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.403865747,1 +77476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.816836837,1 +77478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.401413611,1 +77480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.338459964,1 +77481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.572432464,1 +77482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.876055981,1 +77483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.676772316,1 +77484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.469255789,1 +77486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.673217076,1 +77487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.932322362,1 +77488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.972173126,1 +77489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.041199221,1 +77490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,7.366098596,1 +77485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.513947146,1 +77491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.844837911,1 +77492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.802417301,1 +77493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.521501091,1 +77494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.52359603,1 +77495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.969183957,1 +77496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.499152026,1 +77497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.651176376,1 +77499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.588693454,1 +77500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.589271582,1 +77498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.267280421,1 +77501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.847123929,1 +77502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.791618128,1 +77504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.010377091,1 +77505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.832915003,1 +77503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.296732002,1 +77506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.952806477,1 +77509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.697963192,1 +77507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.357270601,1 +77508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.022963429,1 +77510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.655095018,1 +77511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.669045424,1 +77513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.563376717,1 +77512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.716151881,1 +77514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.182713193,1 +77515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.437769946,1 +77516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.046953417,1 +77517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,1.894682279,1 +77518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.494788889,1 +77519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.32889611,1 +77520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.426406975,1 +77523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.620289968,1 +77521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.321006236,1 +77522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.864929491,1 +77524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,7.452995457,1 +77526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.825370099,1 +77525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.59147091,1 +77528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.468412314,1 +77527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.029572956,1 +77530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.643002544,1 +77529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.045805297,1 +77531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.052279018,1 +77534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.558108462,1 +77533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.567197433,1 +77532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.373083167,1 +77535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.102226754,1 +77536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.000445381,1 +77537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.6646763,1 +77538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.315663455,1 +77539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.89040482,1 +77540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.173264906,1 +77541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.555931205,1 +77542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.737715168,1 +77543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.765434972,1 +77544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.534088805,1 +77545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.304012515,1 +77546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.552763751,1 +77549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.850760154,1 +77547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.470377294,1 +77548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.865597917,1 +77550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.881735951,1 +77553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.611303826,1 +77551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.966917412,1 +77552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.191795807,1 +77554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.019250361,1 +77557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,1.893486457,1 +77556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.02851318,1 +77555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.931331996,1 +77558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.081145194,1 +77560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.493354582,1 +77561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.222968447,1 +77559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.798742311,1 +77564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.266189605,1 +77565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.950452847,1 +77562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.397538029,1 +77563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.108109908,1 +77566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.882229185,1 +77567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.827842483,1 +77568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.856869097,1 +77569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.251065385,1 +77570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.860134955,1 +77571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.739458379,1 +77573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.84188669,1 +77574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.632546609,1 +77575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.23934025,1 +77572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.581841885,1 +77576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.313166722,1 +77577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.508600305,1 +77578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,1.815096374,1 +77580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.444754718,1 +77581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.041781734,1 +77582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.439959135,1 +77579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.813772923,1 +77583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.183140057,1 +77584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.011912071,1 +77585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.338124126,1 +77586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.801210473,1 +77587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.75316959,1 +77588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.05582019,1 +77589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.697124333,1 +77590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.722552216,1 +77592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.274828891,1 +77591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.077425132,1 +77593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.682805155,1 +77595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.36661075,1 +77597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.28380528,1 +77596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.552584385,1 +77598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.87508725,1 +77600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.036502972,1 +77599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.739173666,1 +77594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.601451642,1 +77601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.652551569,1 +77603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.662090876,1 +77602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.646598566,1 +77604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.072895511,1 +77607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.898812612,1 +77606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.430109078,1 +77605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.748396816,1 +77608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.954451719,1 +77609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.620865461,1 +77611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.923039873,1 +77610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.485154314,1 +77613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.28770849,1 +77614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.429704429,1 +77615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.985325692,1 +77612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.879640911,1 +77617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.447648353,1 +77616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.123499391,1 +77618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.385923461,1 +77619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.93315372,1 +77620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.944759495,1 +77621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.410266397,1 +77622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.96076497,1 +77623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.289557205,1 +77625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.834133616,1 +77624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.007625393,1 +77626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.942628653,1 +77628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.502201554,1 +77627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,7.218507808,1 +77629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.789665656,1 +77630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.649418008,1 +77631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.31508728,1 +77632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.982519202,1 +77634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.281373728,1 +77633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.182874801,1 +77635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.273303381,1 +77638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.920758124,1 +77637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.472350722,1 +77636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.290223836,1 +77639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.038869436,1 +77640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.473920554,1 +77641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.440209068,1 +77642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.297293815,1 +77643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.769904674,1 +77645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.831174697,1 +77644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.317420046,1 +77647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.729589902,1 +77648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.840092446,1 +77649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.197298507,1 +77646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.161154838,1 +77650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.713959606,1 +77651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.118570376,1 +77654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.057489448,1 +77655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,7.521506557,1 +77652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.335193222,1 +77653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.196383546,1 +77656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.510443118,1 +77657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.273227465,1 +77658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.75979218,1 +77659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.075779989,1 +77662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.975854186,1 +77663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.168992132,1 +77661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.818318563,1 +77660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.405333924,1 +77667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.240064426,1 +77666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.47795262,1 +77664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.926196933,1 +77668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.824651934,1 +77669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.427742575,1 +77670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,1.445691424,1 +77665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.818979604,1 +77671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.057119725,1 +77672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.381178264,1 +77673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.380565753,1 +77675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.644897817,1 +77674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.464624855,1 +77677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.15521334,1 +77676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.545040094,1 +77679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.125303722,1 +77678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.604047949,1 +77681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.139157755,1 +77680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.584901251,1 +77682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.074784584,1 +77683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.005416903,1 +77684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.039502619,1 +77685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.481089723,1 +77687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,8.136639682,1 +77688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.315374741,1 +77689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.532244252,1 +77690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.138469794,1 +77686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.817595489,1 +77692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.977933245,1 +77691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.598915739,1 +77694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.075533148,1 +77693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.756047862,1 +77695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.145447572,1 +77696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.321897731,1 +77697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.80176176,1 +77698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.410469564,1 +77700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.889301886,1 +77702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.103588571,1 +77701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.157899078,1 +77703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.071404891,1 +77699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.203642535,1 +77704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.381693685,1 +77707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.328670029,1 +77705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.868915748,1 +77709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.588953713,1 +77708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,8.025468638,1 +77706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.657223578,1 +77711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.898289041,1 +77712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.68611097,1 +77710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.675908267,1 +77713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.292373434,1 +77715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.413093778,1 +77716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.730686044,1 +77717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.83234594,1 +77714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.373298783,1 +77718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.115555753,1 +77719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.292838755,1 +77720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.50844408,1 +77721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.464311368,1 +77724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.86072952,1 +77722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.795801835,1 +77725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.968748479,1 +77723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.044351353,1 +77726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.026782003,1 +77728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.615604338,1 +77727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.04587237,1 +77729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.697911907,1 +77730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.968262616,1 +77732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.199815862,1 +77731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.699794071,1 +77733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.10047955,1 +77734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.337781393,1 +77735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.403325904,1 +77736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.479310597,1 +77737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.672505942,1 +77739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.820666269,1 +77741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.691812652,1 +77738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.584642824,1 +77740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.322519642,1 +77742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.301734642,1 +77743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.1607165,1 +77744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.727070542,1 +77745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.882806469,1 +77746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.612065362,1 +77747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.851429175,1 +77748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.015742467,1 +77749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.310970997,1 +77750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.034794306,1 +77752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.034559574,1 +77751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.74204711,1 +77754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.186772947,1 +77755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,1.637276078,1 +77753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,7.847102368,1 +77756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.311292414,1 +77757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.334007419,1 +77758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.76140789,1 +77759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.606320269,1 +77760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.869046601,1 +77761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.923542241,1 +77762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.562194915,1 +77764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.751242726,1 +77763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.205836505,1 +77765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.326269256,1 +77766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.644489911,1 +77768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.86787337,1 +77769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.486298416,1 +77767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.161326976,1 +77770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.965072945,1 +77771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.402609202,1 +77772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.384895015,1 +77773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.67747967,1 +77774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.346363844,1 +77775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.368154298,1 +77776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.434285652,1 +77777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.66487241,1 +77778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.712482975,1 +77779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.966778499,1 +77780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.25670277,1 +77781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.28063636,1 +77782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.855528957,1 +77783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.257553962,1 +77784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.28256253,1 +77785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.243714801,1 +77786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.860483806,1 +77787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.078129511,1 +77788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.402822835,1 +77789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.829640035,1 +77790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.022754868,1 +77791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.426489755,1 +77792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.521663954,1 +77793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.439131162,1 +77794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.267401936,1 +77795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.442526204,1 +77796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.257474172,1 +77797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.556435421,1 +77798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.882265096,1 +77801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.58894789,1 +77799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.612633065,1 +77800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.645724504,1 +77802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.022413903,1 +77803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.020171921,1 +77805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.204121055,1 +77806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.685123374,1 +77807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,1.920335759,1 +77804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,7.946469908,1 +77808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.261362131,1 +77809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.601748459,1 +77810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.609326763,1 +77812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.232940248,1 +77813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.207140701,1 +77811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.432007215,1 +77814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.443783518,1 +77816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.076216537,1 +77815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.759937646,1 +77817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.056863018,1 +77818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.328452585,1 +77819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.999002706,1 +77820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.475885899,1 +77822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.444401847,1 +77823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.367639605,1 +77824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.06037741,1 +77825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.093932187,1 +77821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.835261668,1 +77826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.030494841,1 +77827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,7.034602209,1 +77828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.260964004,1 +77829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.187819677,1 +77831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,8.655833365,1 +77830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.561030413,1 +77833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.719166329,1 +77832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.125689301,1 +77834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.795774521,1 +77835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.160311935,1 +77837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.540908037,1 +77838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.49498045,1 +77836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.908266007,1 +77839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.038472043,1 +77840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.702642253,1 +77841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,1.846451617,1 +77843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.156247573,1 +77844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.109936239,1 +77845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.309112632,1 +77846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.166875393,1 +77842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.482385289,1 +77847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.200022261,1 +77848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.776622328,1 +77850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.07338465,1 +77849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.193951397,1 +77851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.924240041,1 +77852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.287174927,1 +77854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.976792446,1 +77853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.73367887,1 +77855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.3271135,1 +77856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.055009739,1 +77857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.610357466,1 +77859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.741769613,1 +77858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.166224652,1 +77860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.154142266,1 +77861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.966961517,1 +77863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.679583175,1 +77862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.107461335,1 +77864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.302812358,1 +77867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.190562401,1 +77868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.36288794,1 +77866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.666763832,1 +77869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.891532729,1 +77865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.088456825,1 +77870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.080692496,1 +77871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.651964489,1 +77872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.304354414,1 +77874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.986724876,1 +77873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.519995797,1 +77876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.271217119,1 +77877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.220041731,1 +77878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.021038633,1 +77875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.857227712,1 +77879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.017586812,1 +77880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.551284343,1 +77881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.839959805,1 +77882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.77356632,1 +77883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.644904727,1 +77884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.435515081,1 +77887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.581606456,1 +77886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.285028477,1 +77888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.99010178,1 +77890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.365464537,1 +77885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,9.501481233,1 +77889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.119143924,1 +77891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.510863083,1 +77893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.495516531,1 +77894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.972624926,1 +77892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.120439927,1 +77895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.740925466,1 +77896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.286801915,1 +77897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,8.263489264,1 +77898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.934265557,1 +77899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.296357085,1 +77900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.964575117,1 +77901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.394284459,1 +77902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.493139558,1 +77903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.593395014,1 +77905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.445620475,1 +77904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.280335418,1 +77906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.558394635,1 +77908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,1.841964455,1 +77907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.768482935,1 +77909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.933314211,1 +77910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.202227422,1 +77912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.949935449,1 +77911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.402770803,1 +77913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.374299139,1 +77914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.016064975,1 +77915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,1.799145033,1 +77916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.52402807,1 +77917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.677769819,1 +77918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.998763599,1 +77919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.408860303,1 +77921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,7.314449802,1 +77920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.418849656,1 +77924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.8833903,1 +77923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.068550591,1 +77922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.701572107,1 +77925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.874896768,1 +77927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.776652001,1 +77926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.795418175,1 +77928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.751225309,1 +77929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.298320844,1 +77930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.654698264,1 +77931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.169964249,1 +77932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.475997945,1 +77933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.326912023,1 +77934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.186809615,1 +77935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.449219712,1 +77936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.747373131,1 +77937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.08771955,1 +77938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.809571453,1 +77939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.534431796,1 +77940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.978018552,1 +77942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.78054181,1 +77943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.238908866,1 +77941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.256401021,1 +77944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,1.910616726,1 +77946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.413014531,1 +77945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.104853523,1 +77947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.948590146,1 +77948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.266218578,1 +77949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.75801041,1 +77950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.583334312,1 +77951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.323938753,1 +77952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.836159966,1 +77953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.843252503,1 +77955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.563611353,1 +77954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.71200087,1 +77957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.319202636,1 +77958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.644901108,1 +77959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.724171183,1 +77956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.988747374,1 +77960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.727159336,1 +77961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.552785277,1 +77962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.810425703,1 +77964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.951986594,1 +77963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.614846216,1 +77965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.64273707,1 +77966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,1.41073997,1 +77967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.868798359,1 +77968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.353805405,1 +77969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.350374244,1 +77970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.303657061,1 +77971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.778725756,1 +77972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.618864007,1 +77973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.712906555,1 +77974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.951041188,1 +77975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.997835949,1 +77979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,6.003115989,1 +77977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.351676414,1 +77978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,1.971157436,1 +77981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.249619253,1 +77980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.93857601,1 +77976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.966218291,1 +77982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.77400012,1 +77986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.810924069,1 +77983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.880972475,1 +77985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.529308104,1 +77984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.907657792,1 +77987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.870466189,1 +77988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.782771476,1 +77989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.314354448,1 +77990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.877987113,1 +77991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,5.058408255,1 +77992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.721114224,1 +77994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.640011842,1 +77995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.3931709,1 +77996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.906817209,1 +77993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.424312751,1 +77997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.77719286,1 +77999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,3.640600576,1 +77998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,4.632968042,1 +78000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,8,1,2.432250798,1 +87001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.806319803,1 +87002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.654143036,1 +87004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.713845135,1 +87003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.004504002,1 +87005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.487083618,1 +87007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.52753661,1 +87006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.04052615,1 +87008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.264752377,1 +87009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.913889991,1 +87013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.16574591,1 +87010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.966161482,1 +87012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.923499044,1 +87011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.363691439,1 +87016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.039914208,1 +87015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.276808735,1 +87014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.83918809,1 +87019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.709787301,1 +87018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.036686448,1 +87020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.853768315,1 +87017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.692506867,1 +87021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.886095854,1 +87023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.555452954,1 +87022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.584142446,1 +87025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.039298199,1 +87024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.225579407,1 +87026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.71051854,1 +87027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.667722217,1 +87029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.140470175,1 +87028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.019285768,1 +87030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.674732289,1 +87031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.099605439,1 +87033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.850759742,1 +87032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.710740995,1 +87035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.244623454,1 +87034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,7.69376221,1 +87036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.007340495,1 +87038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.429531468,1 +87040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.149268835,1 +87039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.035906232,1 +87041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.602786374,1 +87037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.711005966,1 +87042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.368374126,1 +87043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.768619947,1 +87045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.668484459,1 +87044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.577972848,1 +87046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.982116373,1 +87047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.097028295,1 +87049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.884176938,1 +87048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.388733878,1 +87050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.656979226,1 +87052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.619330169,1 +87051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.685702232,1 +87054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.025696067,1 +87055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.518275205,1 +87056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,1.9539948,1 +87057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.70760465,1 +87053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,8.651822563,1 +87058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.961143527,1 +87059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.270456339,1 +87061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.163665263,1 +87060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.381368947,1 +87062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.648532032,1 +87063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.721016191,1 +87065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.418968681,1 +87064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.69967561,1 +87066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.72446094,1 +87068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.477200297,1 +87067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.473688584,1 +87070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.420464459,1 +87071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.223985038,1 +87072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,1.577161931,1 +87069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.486584841,1 +87075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.084193233,1 +87073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.323480248,1 +87076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.496918692,1 +87074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.184954137,1 +87077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.84296985,1 +87078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.586089646,1 +87079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.356817302,1 +87080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.445578025,1 +87082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.085021836,1 +87083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,7.281984003,1 +87084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.092156879,1 +87085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.120345276,1 +87081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.305385125,1 +87087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.893030673,1 +87089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.099470452,1 +87088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.147801468,1 +87090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.830027097,1 +87086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.143539627,1 +87091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.878797154,1 +87092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.806056554,1 +87093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.040683694,1 +87094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.978370613,1 +87095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.163046348,1 +87096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.473088415,1 +87097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.298868722,1 +87099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.485608162,1 +87098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.726516155,1 +87100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.850498943,1 +87101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.29900802,1 +87103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.137162105,1 +87105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.714707278,1 +87104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.182223913,1 +87102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,7.805314106,1 +87106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.431077004,1 +87107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.916058493,1 +87109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.684189792,1 +87108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.576901815,1 +87110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.867151668,1 +87112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.77365363,1 +87111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.85748686,1 +87113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.93910722,1 +87115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.038793524,1 +87116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.796566436,1 +87114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.0758752,1 +87117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.390909086,1 +87119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.577291684,1 +87121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.206939678,1 +87120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.142269781,1 +87118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.921341539,1 +87122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.244339746,1 +87123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.412895446,1 +87124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.986488992,1 +87125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.285637446,1 +87126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.366948316,1 +87127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.639559361,1 +87129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.417210199,1 +87130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.451779596,1 +87131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.135115044,1 +87128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.652155806,1 +87134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.068252953,1 +87132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.915363498,1 +87133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.285356531,1 +87135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.685650067,1 +87137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.770699694,1 +87136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.927801884,1 +87138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.78385635,1 +87139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.990634299,1 +87140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.322946595,1 +87141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.194542001,1 +87142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.387379501,1 +87144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.467632361,1 +87145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.696104134,1 +87146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.043620188,1 +87147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.460236627,1 +87148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.078833226,1 +87149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.247517347,1 +87143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.023682679,1 +87150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,1.708851469,1 +87153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.233865167,1 +87151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.586711161,1 +87152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.478458002,1 +87154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.639695043,1 +87155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.759722548,1 +87156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.478570777,1 +87157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.01237619,1 +87158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.917590488,1 +87161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.715706637,1 +87160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.793231631,1 +87159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.499007377,1 +87162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.16699975,1 +87163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.641897302,1 +87164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.39257315,1 +87165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.13734247,1 +87168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.278432188,1 +87167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.619821204,1 +87166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.196901307,1 +87170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.105938531,1 +87169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.66773367,1 +87172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.040890296,1 +87171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.511127509,1 +87173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.292170044,1 +87174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.651212235,1 +87175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.487610723,1 +87176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.40717019,1 +87177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.937650276,1 +87179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.770944059,1 +87178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.883071207,1 +87180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.783462997,1 +87181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.755942899,1 +87182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.637571032,1 +87184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.444801458,1 +87183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.578095766,1 +87185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.325109128,1 +87186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.482588602,1 +87187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.468678148,1 +87188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.465797517,1 +87190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.295803898,1 +87189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.72650561,1 +87191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.349254893,1 +87192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.553970466,1 +87193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.608625416,1 +87194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.976941567,1 +87195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.368839599,1 +87196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.364880739,1 +87198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.476906368,1 +87197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.783466006,1 +87199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.539879015,1 +87201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.631166962,1 +87202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,7.236524964,1 +87203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.368767225,1 +87200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.884564925,1 +87204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.401905953,1 +87205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.908898336,1 +87207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.403523281,1 +87208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.98147642,1 +87206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.675538167,1 +87209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.255925035,1 +87210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.13661486,1 +87212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.900978149,1 +87211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.352376277,1 +87213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.904358633,1 +87215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.92549226,1 +87214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.35551761,1 +87216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.882112336,1 +87217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.253012607,1 +87220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.818250701,1 +87221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.963311423,1 +87218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.949731623,1 +87219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.044529902,1 +87222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.49324162,1 +87223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.953937051,1 +87224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.353503605,1 +87225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,7.979872826,1 +87228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.438852742,1 +87226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.16810128,1 +87227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.870810959,1 +87230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.351403623,1 +87229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.971924091,1 +87231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.743723426,1 +87232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.097206342,1 +87235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.264526501,1 +87236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.038342439,1 +87233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.464126009,1 +87234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.864203383,1 +87237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.944730377,1 +87238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.450225668,1 +87239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.511212819,1 +87241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.632496457,1 +87243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.871701362,1 +87240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.951213375,1 +87242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.32511937,1 +87245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.112719733,1 +87244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.480624524,1 +87246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.1774324,1 +87247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.676457779,1 +87249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.776013544,1 +87250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.155915502,1 +87251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.256977036,1 +87252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.407106796,1 +87248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.400640685,1 +87254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.193682541,1 +87255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,7.302516939,1 +87256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.484662469,1 +87257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.881293134,1 +87253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.290882636,1 +87259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.87052525,1 +87258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.896375854,1 +87260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.752811322,1 +87261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.801055065,1 +87263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.647063255,1 +87262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.176777127,1 +87264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.44407334,1 +87265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.844900271,1 +87268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.652835005,1 +87266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.688287261,1 +87270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.22586526,1 +87271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.741148778,1 +87267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.755354398,1 +87269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.324332837,1 +87274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.025012921,1 +87273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.23782549,1 +87272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.336065628,1 +87275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.282133191,1 +87276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.586878771,1 +87277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.63354561,1 +87279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.479088717,1 +87278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.217913407,1 +87280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.15479189,1 +87281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.455091143,1 +87283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.702117495,1 +87282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.035314404,1 +87285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.919892389,1 +87286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.623758113,1 +87284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.437131892,1 +87287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.52130157,1 +87288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.612499626,1 +87290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.102237221,1 +87289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.052785752,1 +87292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.705768691,1 +87293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.208581836,1 +87291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.386742659,1 +87294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.415076265,1 +87295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,1.715921356,1 +87296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.871056698,1 +87297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.368650545,1 +87298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.57821237,1 +87299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.179259358,1 +87302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.335484503,1 +87301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.056965127,1 +87303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.10287978,1 +87300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.973382561,1 +87305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.525063301,1 +87304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.01176897,1 +87307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.141574158,1 +87306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.490577782,1 +87308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.435919551,1 +87309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.848308367,1 +87310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.832187795,1 +87311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.353073436,1 +87313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.060020133,1 +87312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.520852209,1 +87314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.203625294,1 +87315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.343323024,1 +87318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.531316218,1 +87316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.658680665,1 +87317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.087399801,1 +87319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.22695273,1 +87322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.871803063,1 +87320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.197889278,1 +87323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.299050659,1 +87321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.676355862,1 +87325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.693622998,1 +87324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.124367724,1 +87326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.616735713,1 +87327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.371775813,1 +87328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,7.431584123,1 +87330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.907642888,1 +87329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.656325488,1 +87331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.216650903,1 +87332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.208532245,1 +87333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.089959785,1 +87334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.763798606,1 +87335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.57558167,1 +87337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.651369972,1 +87338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.407436891,1 +87339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.11424529,1 +87336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.356946199,1 +87340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.982243417,1 +87343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.62364568,1 +87342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.40879561,1 +87341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.572744205,1 +87344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.729425478,1 +87345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.122378576,1 +87346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.991058833,1 +87347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.299829551,1 +87348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.607676118,1 +87351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.144176533,1 +87349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.677670255,1 +87353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.964539044,1 +87350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.654910326,1 +87352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.410856092,1 +87354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.562309602,1 +87355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.819805163,1 +87356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.37012802,1 +87357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.108690314,1 +87360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.545605512,1 +87359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.09461545,1 +87361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.144078103,1 +87358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.413381871,1 +87362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.160745935,1 +87363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.409826869,1 +87364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.914658458,1 +87367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.917455951,1 +87366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.114647874,1 +87365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.251833027,1 +87368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.833584327,1 +87369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.587072641,1 +87370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.452711573,1 +87371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.925374163,1 +87372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.512560767,1 +87373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.510535413,1 +87374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.910336974,1 +87376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.961131891,1 +87377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.20822777,1 +87378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.53627166,1 +87379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.324523561,1 +87375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.128341099,1 +87380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.102837695,1 +87381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.042963817,1 +87383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.509762763,1 +87382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.938731351,1 +87384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.217222079,1 +87385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.021924287,1 +87387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.13898626,1 +87386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.172216126,1 +87388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.978348542,1 +87389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.413194394,1 +87390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.219075936,1 +87391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.179510292,1 +87392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.335139553,1 +87393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.724028384,1 +87394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.85641655,1 +87396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.259360056,1 +87397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.073636889,1 +87395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.714505828,1 +87398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.959497717,1 +87399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.322338523,1 +87400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.709399634,1 +87401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.126320667,1 +87402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.791893261,1 +87403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.597432365,1 +87404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.208598564,1 +87406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.580279689,1 +87405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.282474365,1 +87407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.951496459,1 +87408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.489896906,1 +87409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.911630592,1 +87410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.104939362,1 +87411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.840774217,1 +87412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.741548509,1 +87413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.357375565,1 +87415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.28662812,1 +87416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.861785866,1 +87414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.780566427,1 +87417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.226765802,1 +87418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.817504168,1 +87419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.973708627,1 +87420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.71346667,1 +87421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.608064281,1 +87422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.793845017,1 +87423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.482958445,1 +87424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.231109415,1 +87425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.447756111,1 +87426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.430086468,1 +87427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.055420271,1 +87429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.7178309,1 +87430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.083650905,1 +87431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.264221216,1 +87428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.926964517,1 +87432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.182840727,1 +87433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.114803715,1 +87434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.287228859,1 +87437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.989998099,1 +87436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.491745876,1 +87438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.547259772,1 +87439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.861848711,1 +87440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.614994306,1 +87435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.07816605,1 +87441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.929600179,1 +87444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.428981234,1 +87443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.274604017,1 +87442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.008644241,1 +87445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.456007089,1 +87447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.801950082,1 +87446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.002193435,1 +87448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.008799282,1 +87449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.501225764,1 +87450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.748622433,1 +87452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.12993083,1 +87453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.875614924,1 +87454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,7.879150589,1 +87455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.076868423,1 +87456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.719396278,1 +87451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.553674292,1 +87457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.809986951,1 +87458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.606801948,1 +87459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.58232345,1 +87460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,7.349808259,1 +87461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.537338508,1 +87462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,7.36565786,1 +87463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.61182386,1 +87464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.995299967,1 +87466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.511428645,1 +87465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.306434107,1 +87467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.163986175,1 +87469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.834540412,1 +87470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.540611847,1 +87471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.497875032,1 +87468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.793754637,1 +87472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.0530755,1 +87474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.347133012,1 +87473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.480138589,1 +87475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.12722261,1 +87476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.35899636,1 +87477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.103805044,1 +87478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.489841932,1 +87479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.226177265,1 +87480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.937515711,1 +87481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.379937376,1 +87482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.946906267,1 +87483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.085385877,1 +87484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.684605139,1 +87486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.054236537,1 +87485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.114593795,1 +87488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.352691353,1 +87487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.879057854,1 +87490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.058392587,1 +87489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.640170957,1 +87491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.488599462,1 +87492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,7.120661728,1 +87493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.596421428,1 +87494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.115690352,1 +87495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.273209975,1 +87497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.32439606,1 +87496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.939682844,1 +87498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.875842589,1 +87499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.084465375,1 +87500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.79316605,1 +87502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.869843208,1 +87503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.830908559,1 +87504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.022701612,1 +87501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.218902025,1 +87505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.455550738,1 +87506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.367640689,1 +87507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.373682569,1 +87509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.879721274,1 +87508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.444776072,1 +87510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.338820567,1 +87511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.191867188,1 +87512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.487314597,1 +87513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.60046491,1 +87514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.328569054,1 +87515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.855132785,1 +87516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.700099565,1 +87517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.360882065,1 +87519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.504621957,1 +87518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.416593485,1 +87520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.151938747,1 +87522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.265162617,1 +87523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.906084422,1 +87524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.162103365,1 +87525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.037077607,1 +87526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.582967577,1 +87521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.858856684,1 +87527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.471518058,1 +87528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.817615535,1 +87529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.058080679,1 +87530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.289671531,1 +87531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.479806887,1 +87532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.055018643,1 +87534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.914852654,1 +87533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.418484738,1 +87535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,1.499065503,1 +87536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.340071125,1 +87538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.245053255,1 +87539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.165242132,1 +87537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.14269018,1 +87540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.016745772,1 +87541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.717968236,1 +87542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.424417787,1 +87544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.351566211,1 +87545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.552628643,1 +87546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.672118645,1 +87547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.95215049,1 +87543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.350869653,1 +87549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.310965726,1 +87548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.500056788,1 +87551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.980689883,1 +87550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.868272256,1 +87552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.241451964,1 +87553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.745468635,1 +87555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.956286693,1 +87556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.313165441,1 +87557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.46425137,1 +87554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.583773697,1 +87559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.077930092,1 +87558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.696291214,1 +87560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.04549155,1 +87561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.639316248,1 +87563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.190038259,1 +87562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.002777053,1 +87564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.809626723,1 +87566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.635512954,1 +87565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.897668314,1 +87567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.08050927,1 +87568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.907148105,1 +87569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.539805511,1 +87571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.721950201,1 +87570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.704551705,1 +87572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,7.72575093,1 +87573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,7.199802055,1 +87574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.459882899,1 +87575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.426347872,1 +87576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.714275874,1 +87580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.095361501,1 +87577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.38256126,1 +87579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.691590143,1 +87578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.371831344,1 +87582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.680924609,1 +87581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,7.369529542,1 +87583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.652655346,1 +87585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.79321872,1 +87584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.606900632,1 +87586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.950835228,1 +87587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.654850579,1 +87588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.254520136,1 +87589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.151784253,1 +87590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,1.272568698,1 +87591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.836399304,1 +87594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.685266508,1 +87592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.33870062,1 +87593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.368821627,1 +87595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.202677887,1 +87597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,7.530752485,1 +87596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.685668132,1 +87599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.083399493,1 +87600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.034557542,1 +87601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.219519719,1 +87598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.729187611,1 +87602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.751392729,1 +87603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.42050571,1 +87604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.409174394,1 +87606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.04708691,1 +87608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.850323316,1 +87605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.479616822,1 +87607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.600348408,1 +87609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.045535013,1 +87611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.204942542,1 +87612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.757641279,1 +87610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.857434701,1 +87613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.688299535,1 +87614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.507995521,1 +87615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.287187012,1 +87616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.975973047,1 +87617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.380470508,1 +87619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.440177909,1 +87620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.235434804,1 +87621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.613588272,1 +87622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.522252455,1 +87623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.951068688,1 +87618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.564893244,1 +87624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.25258832,1 +87625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.948748003,1 +87627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.868387723,1 +87626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.613286763,1 +87628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.479411901,1 +87629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.320539105,1 +87631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.894791046,1 +87630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.856993272,1 +87632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.499692162,1 +87633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.156277728,1 +87634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.845100618,1 +87637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.948386279,1 +87636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.271503781,1 +87638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.647234126,1 +87635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.675291057,1 +87639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.131636979,1 +87640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.720616219,1 +87641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.140204086,1 +87642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.675919854,1 +87643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.700717737,1 +87644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.84591949,1 +87645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.900089441,1 +87646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.858793935,1 +87647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.314403497,1 +87649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.592045975,1 +87648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.670852717,1 +87651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.87161579,1 +87652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.447668696,1 +87650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.151318944,1 +87653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.529804472,1 +87655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.561652007,1 +87654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.831741242,1 +87656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.758510115,1 +87657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.09333593,1 +87658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.494218246,1 +87659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.960161014,1 +87660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.978431018,1 +87662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.049878595,1 +87661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.149715312,1 +87663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.048272733,1 +87666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.283345698,1 +87665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.316066922,1 +87664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.310607583,1 +87667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.838399365,1 +87669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.37743332,1 +87668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.305146089,1 +87670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.964377349,1 +87673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.687230665,1 +87671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.028156418,1 +87672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.326023907,1 +87674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.614587889,1 +87676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.050139712,1 +87675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.982649067,1 +87677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.303835761,1 +87679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.102060204,1 +87681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.914064078,1 +87680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.083647303,1 +87678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.145650446,1 +87682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.691474361,1 +87684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.527870204,1 +87683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.561328285,1 +87685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.022250783,1 +87688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.061827333,1 +87687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.373270818,1 +87689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.161073536,1 +87686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.969071758,1 +87691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.652029763,1 +87690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.556637189,1 +87692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.889648541,1 +87693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.825554684,1 +87694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.06198427,1 +87695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.600063537,1 +87697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.146703826,1 +87696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.017095843,1 +87698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.138094304,1 +87699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.130524826,1 +87700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.959612943,1 +87701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.686215141,1 +87703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.016253442,1 +87702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.296464544,1 +87704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.722661752,1 +87705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.406850805,1 +87707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.751694773,1 +87706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,1.47334675,1 +87708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.001487053,1 +87710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,1.640627382,1 +87711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.29453651,1 +87712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.442144231,1 +87709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.99622671,1 +87714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.253160191,1 +87713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.179826746,1 +87715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.79987573,1 +87716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.190828016,1 +87718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.037520876,1 +87717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.529758254,1 +87719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.413229108,1 +87721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.913581583,1 +87722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.6789583,1 +87723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.401431377,1 +87720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.267417493,1 +87724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.002670174,1 +87725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.523717291,1 +87726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.30979451,1 +87728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.256362723,1 +87729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.400745215,1 +87727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.624237368,1 +87730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.071040268,1 +87732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.230109452,1 +87731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.598796969,1 +87733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.577082731,1 +87734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.42239304,1 +87736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.498239873,1 +87735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.97452322,1 +87737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,8.960221462,1 +87738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.398440764,1 +87739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.30619697,1 +87740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.68089242,1 +87743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.388498828,1 +87742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.997368423,1 +87744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.952591992,1 +87745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,7.281251355,1 +87741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.871155345,1 +87747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.16551179,1 +87746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.239980294,1 +87748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.054077975,1 +87749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.498681695,1 +87750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.899568976,1 +87751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,1.911647991,1 +87752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.501354106,1 +87753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.551095002,1 +87754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.838056618,1 +87755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.675122749,1 +87756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.317204436,1 +87757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.038496705,1 +87759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.079610986,1 +87758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.125931415,1 +87760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.846342483,1 +87762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.306882753,1 +87761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.268100825,1 +87763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.278965289,1 +87765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.629338733,1 +87764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.012780519,1 +87766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.06714222,1 +87767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.223238141,1 +87769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.138041616,1 +87768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.913676257,1 +87770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.304858085,1 +87771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.764713066,1 +87772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.81746136,1 +87773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.230382404,1 +87777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.309311784,1 +87776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.579077885,1 +87775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.927346875,1 +87774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.208493967,1 +87780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.635705186,1 +87781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,7.173026319,1 +87779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.803846492,1 +87778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.867780235,1 +87782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.322966408,1 +87785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.504782671,1 +87783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.659839595,1 +87784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.157206167,1 +87786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.47750356,1 +87787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.204627706,1 +87789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.745323279,1 +87788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.177966576,1 +87790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.215750973,1 +87791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.055655053,1 +87792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.269447963,1 +87793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.199789965,1 +87794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.846474692,1 +87795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.961615194,1 +87796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.723748808,1 +87797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.734000088,1 +87798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.324740128,1 +87799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.728043401,1 +87800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.480341564,1 +87802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.87724923,1 +87804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.275459314,1 +87803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.574208219,1 +87801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.280318629,1 +87805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.904904867,1 +87807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.665748186,1 +87806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.00016142,1 +87808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.686441841,1 +87809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.15342217,1 +87811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.005228714,1 +87812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.088750469,1 +87810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.033766227,1 +87813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.990447527,1 +87814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.140976048,1 +87816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.90659204,1 +87815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.811110245,1 +87817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.924673837,1 +87818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.604352642,1 +87819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.782665756,1 +87820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.76505727,1 +87821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.093605873,1 +87823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.921561034,1 +87822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.965840482,1 +87824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.559942376,1 +87825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.00066394,1 +87826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.060364536,1 +87827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.679370296,1 +87830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.255140377,1 +87829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,7.746023888,1 +87831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.850990449,1 +87832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.287229579,1 +87833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.864085758,1 +87828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.582127972,1 +87834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.201415017,1 +87835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.947614165,1 +87836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.317328548,1 +87838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.339917009,1 +87837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.997607654,1 +87840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.684963948,1 +87839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.061918325,1 +87842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.358171594,1 +87841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.46291629,1 +87843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.117373772,1 +87844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.388485031,1 +87846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,1.972000708,1 +87847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.771282381,1 +87848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.647628963,1 +87849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.198269317,1 +87851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.076328805,1 +87850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.531372836,1 +87845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.993633811,1 +87852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.129832696,1 +87854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.181548308,1 +87853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.89789583,1 +87855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.79102275,1 +87856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.665834623,1 +87858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.855029553,1 +87857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.50369383,1 +87860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.09898038,1 +87859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.856975271,1 +87862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.777498246,1 +87861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.367963875,1 +87863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.627012367,1 +87865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.923908326,1 +87866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.034889091,1 +87867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.360667811,1 +87864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.560785629,1 +87868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.324414745,1 +87870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.20982939,1 +87871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.706328426,1 +87869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.517763452,1 +87872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.107783067,1 +87873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.005196836,1 +87875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.883882334,1 +87874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.447332735,1 +87876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.47088108,1 +87877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.312007465,1 +87878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.708596508,1 +87879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.907195109,1 +87880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.325637441,1 +87881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.006242545,1 +87882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.608294107,1 +87884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.258168979,1 +87885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.492190096,1 +87886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.89619984,1 +87883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.541481636,1 +87887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.815930658,1 +87888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.389894486,1 +87889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.724031143,1 +87890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.855114036,1 +87891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.024722847,1 +87892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.75095029,1 +87893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.113148725,1 +87894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.6200654,1 +87895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.843933571,1 +87896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.913270611,1 +87897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.510092331,1 +87899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.290497295,1 +87900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.523685061,1 +87898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.79209307,1 +87901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.520048865,1 +87902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.202722002,1 +87903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.061336175,1 +87904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.029088012,1 +87905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.827146509,1 +87906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.562684482,1 +87907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.661514235,1 +87908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.235156348,1 +87909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.853215438,1 +87910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.939890177,1 +87911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.402426821,1 +87913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.298219077,1 +87914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.582825318,1 +87912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.013948118,1 +87916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.062462754,1 +87915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.410176135,1 +87917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.775139261,1 +87918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.854872622,1 +87919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,7.589813799,1 +87920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.829669662,1 +87921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.664489368,1 +87922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.542635912,1 +87923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.624710379,1 +87924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.816774131,1 +87925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,7.227465743,1 +87927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.718027993,1 +87928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.327199157,1 +87926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.412178354,1 +87930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.022506318,1 +87929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.729019201,1 +87931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.119318344,1 +87932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.756049163,1 +87934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.370604731,1 +87933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.699759806,1 +87935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.965237974,1 +87937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.345210588,1 +87938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.547446036,1 +87939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.28484439,1 +87936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.263534936,1 +87940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.452360713,1 +87941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.964061434,1 +87942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.044775049,1 +87945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.28208108,1 +87944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.83462076,1 +87943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.758671236,1 +87946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.529203374,1 +87949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.671966358,1 +87948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.69491034,1 +87947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.982442454,1 +87950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.904826816,1 +87953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.095630243,1 +87952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.574487019,1 +87954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.094339494,1 +87955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.397075155,1 +87956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.522661221,1 +87951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.13007797,1 +87957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.458473396,1 +87958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.814858444,1 +87959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.338900427,1 +87961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.853609408,1 +87960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.459216627,1 +87963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.82203218,1 +87964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.32491914,1 +87962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.141494038,1 +87965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.832380821,1 +87966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.279554143,1 +87967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.672468541,1 +87968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,7.758528678,1 +87970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.366618199,1 +87971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.422644714,1 +87969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.432753096,1 +87972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.546719675,1 +87973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.452487619,1 +87975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.55453613,1 +87974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.067257958,1 +87978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.859331249,1 +87977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.798701831,1 +87979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.015366951,1 +87976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.683129642,1 +87982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.433973881,1 +87983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.224807419,1 +87980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.240641853,1 +87981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.305328822,1 +87985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.891687353,1 +87984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.510038666,1 +87987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.822416195,1 +87988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,2.900345192,1 +87989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.880126575,1 +87986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.732625912,1 +87990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.696328508,1 +87993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.186805341,1 +87992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.248508768,1 +87991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.913654664,1 +87995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,5.442925293,1 +87996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.486656669,1 +87994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,6.286520021,1 +87997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.062558986,1 +87998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,4.025946186,1 +87999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.308046574,1 +88000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,8,1,3.367300272,1 +97002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.616924343,1 +97004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.241201336,1 +97003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.654444702,1 +97001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.043388044,1 +97005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.631242853,1 +97007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.115902803,1 +97008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.580129629,1 +97006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.245477755,1 +97009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.30317585,1 +97010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.980529038,1 +97011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,8.31724816,1 +97012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.920097246,1 +97013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.613193031,1 +97014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.871243195,1 +97015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.319134438,1 +97017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.866377459,1 +97019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.07191417,1 +97018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.690382714,1 +97016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.551277549,1 +97020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.253733523,1 +97021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.407808176,1 +97022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.448488899,1 +97023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.667059834,1 +97025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.180846751,1 +97024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.428980221,1 +97026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.404129825,1 +97027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,7.708452848,1 +97028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.547156508,1 +97029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.261080745,1 +97030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.776107304,1 +97032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.208445365,1 +97031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.069242527,1 +97034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.745870374,1 +97033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.837738147,1 +97035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.754683461,1 +97037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.959346227,1 +97038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.719480142,1 +97036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.344002661,1 +97039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.990855414,1 +97040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.262139333,1 +97041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.990827884,1 +97042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.097237681,1 +97043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.334344388,1 +97044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.224256152,1 +97045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.00714393,1 +97046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.447426326,1 +97047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.040262513,1 +97048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.647531024,1 +97049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.741379132,1 +97050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.929567025,1 +97051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.059627593,1 +97052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.055462363,1 +97053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.94977981,1 +97054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.532719653,1 +97055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.654260899,1 +97056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.786684104,1 +97057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.01524135,1 +97058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.556234786,1 +97059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.528527464,1 +97060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.565840524,1 +97061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.251273284,1 +97063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.218791301,1 +97062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.9349485,1 +97065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.131674433,1 +97064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.820353281,1 +97066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.491331462,1 +97068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.577953147,1 +97067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.757304299,1 +97069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.835050068,1 +97070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.635755404,1 +97071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.090374989,1 +97074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.810658135,1 +97073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.341707833,1 +97072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,1.836468139,1 +97075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.730680686,1 +97076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.18409501,1 +97077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.490337099,1 +97078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.561045388,1 +97079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.585805018,1 +97081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.590494361,1 +97080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.548332881,1 +97082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.02021841,1 +97083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.719859825,1 +97085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.905696926,1 +97084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.379932737,1 +97087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.331600692,1 +97086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.113779745,1 +97088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.779536171,1 +97089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.864297178,1 +97090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.887814641,1 +97091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.791783358,1 +97092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.983330114,1 +97093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.862073121,1 +97094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.489059899,1 +97097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.882856906,1 +97096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.682474452,1 +97098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.000384677,1 +97100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.440677374,1 +97099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.285071049,1 +97095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.005501143,1 +97101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.668861412,1 +97102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.401061301,1 +97103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.462901717,1 +97106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.125768605,1 +97105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.287795953,1 +97107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.060441618,1 +97104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.508879371,1 +97109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.253276008,1 +97110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.390816387,1 +97108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.026996163,1 +97111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.04747402,1 +97112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.46900983,1 +97113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.882534829,1 +97114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.540789398,1 +97115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.634128423,1 +97116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.555997766,1 +97118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.669354244,1 +97117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.515473035,1 +97120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.803236095,1 +97121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.209268666,1 +97122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.604352047,1 +97119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.702127651,1 +97125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.697481461,1 +97123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.467712166,1 +97124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.84062804,1 +97126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.203164312,1 +97127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.66451473,1 +97128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.586038506,1 +97129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.27496381,1 +97130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.053772356,1 +97131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.035904227,1 +97132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.488292089,1 +97133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.422605157,1 +97135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.618559162,1 +97136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.527333167,1 +97137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.92414004,1 +97138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.428226787,1 +97139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.854823232,1 +97140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.367274125,1 +97134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.275344115,1 +97141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.3854554,1 +97144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.576706145,1 +97143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.193131808,1 +97142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.052825106,1 +97145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.53880438,1 +97146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.690449414,1 +97147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.433484362,1 +97149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.447774019,1 +97148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.108549375,1 +97151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.729787479,1 +97150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.843985609,1 +97153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.237288844,1 +97152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.907258738,1 +97154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.21746224,1 +97156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.862673693,1 +97155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.2047715,1 +97157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.999263239,1 +97158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.31837744,1 +97160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,7.642786272,1 +97161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.809824428,1 +97162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.097562281,1 +97164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.245244226,1 +97163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.469047008,1 +97165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.372497394,1 +97159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.367328159,1 +97166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.883069923,1 +97167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.160818437,1 +97168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.837599129,1 +97169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.102052785,1 +97170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,1.968513341,1 +97172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.169684039,1 +97171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.540959578,1 +97173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.194457723,1 +97174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.029134551,1 +97175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.60398212,1 +97178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.137420216,1 +97177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.559685572,1 +97176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.430782841,1 +97179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.617815092,1 +97180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.156999973,1 +97181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.245292961,1 +97183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.909902084,1 +97185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.077481867,1 +97182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.664788654,1 +97184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.9024146,1 +97186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.790404085,1 +97189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.756071338,1 +97188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.655459207,1 +97187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.688765068,1 +97190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.053722168,1 +97192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.092504573,1 +97193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.536391513,1 +97191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.565028798,1 +97194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.073808364,1 +97195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.056866082,1 +97196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.17711065,1 +97197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.074207394,1 +97198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.459720858,1 +97202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.220889587,1 +97200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.041496534,1 +97199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.422215863,1 +97201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.138951837,1 +97205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.963382799,1 +97203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.065357538,1 +97204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.050070853,1 +97206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.394763031,1 +97207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.728703578,1 +97208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.0722277,1 +97209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.553504639,1 +97210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.52615743,1 +97211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.274983528,1 +97212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.912509721,1 +97213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.646097094,1 +97214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.397862678,1 +97216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.07133063,1 +97218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.243339584,1 +97215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.711862047,1 +97219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.079478979,1 +97217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.2574686,1 +97220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.460626407,1 +97221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.898728211,1 +97222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.28507645,1 +97224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.594478741,1 +97225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.35209782,1 +97226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.897315346,1 +97223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.341266836,1 +97228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.707090324,1 +97227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.790897885,1 +97229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.697476943,1 +97230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.176086359,1 +97231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.906197192,1 +97233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.02537822,1 +97232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.519856684,1 +97234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.108656237,1 +97235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.810616992,1 +97236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.160645127,1 +97237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.235305822,1 +97239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.280057415,1 +97241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.053454434,1 +97240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.878418223,1 +97238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.866469655,1 +97242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.620576207,1 +97243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.19807059,1 +97244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.10999895,1 +97247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.948285753,1 +97248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.127440636,1 +97246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.542781256,1 +97245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.735538338,1 +97250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.013704168,1 +97249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.206724318,1 +97251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.917549146,1 +97252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.150963042,1 +97254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.003213796,1 +97253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.817860915,1 +97255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.655395437,1 +97256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.093890569,1 +97258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.611385257,1 +97257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.433112427,1 +97259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.375316959,1 +97262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.95312921,1 +97261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.382663477,1 +97260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.541654196,1 +97263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.756330701,1 +97265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.446432714,1 +97264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.689326968,1 +97267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.344355085,1 +97266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.99108272,1 +97269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.239027774,1 +97268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.429079434,1 +97270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,1.540410539,1 +97271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.910815936,1 +97272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.615344203,1 +97274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.612636331,1 +97273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.897509298,1 +97275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,7.559745878,1 +97276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.526302126,1 +97277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.56900156,1 +97278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,7.156014598,1 +97279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.588586103,1 +97281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.930141847,1 +97280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.435362898,1 +97282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.818575686,1 +97284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.51964084,1 +97283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.245361347,1 +97285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.345915605,1 +97286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.734835691,1 +97287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.278221654,1 +97289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.072093394,1 +97288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.17049418,1 +97290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.540932015,1 +97291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.71268935,1 +97292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.598814259,1 +97293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.303704625,1 +97294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.308272678,1 +97296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.050491139,1 +97295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.991542762,1 +97297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.993403558,1 +97298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.813278806,1 +97299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.736298,1 +97300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.835466071,1 +97301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.719351159,1 +97302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.843428619,1 +97303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.832712467,1 +97304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.506713728,1 +97305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.060769446,1 +97307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.465034005,1 +97306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.738461545,1 +97308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.240400422,1 +97309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.375706458,1 +97311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.433196564,1 +97310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.812880179,1 +97312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.381663739,1 +97315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.582469256,1 +97314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.211012804,1 +97313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.407636755,1 +97316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.766414065,1 +97317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.607673543,1 +97318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.921692016,1 +97319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.328651551,1 +97320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.777516029,1 +97321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.107332447,1 +97322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.752541456,1 +97323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.015093778,1 +97324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.534970487,1 +97325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.827893931,1 +97326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.243947396,1 +97328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.148007281,1 +97329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.331050908,1 +97330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.199583737,1 +97331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.407891692,1 +97327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.547138084,1 +97332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.437648053,1 +97333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.570509088,1 +97334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.062332768,1 +97336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.055574344,1 +97337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.588617174,1 +97335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.274577377,1 +97338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.489956025,1 +97339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.231718361,1 +97340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.624728375,1 +97342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.002561805,1 +97341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.007527144,1 +97343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.947183848,1 +97344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.696763104,1 +97345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.358519023,1 +97347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.177209668,1 +97348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.854701127,1 +97349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.669452885,1 +97350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.201102576,1 +97351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.851093505,1 +97352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.159591598,1 +97353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.444080414,1 +97346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.744261237,1 +97354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.385728416,1 +97357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.389586803,1 +97355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.267465924,1 +97356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.706395463,1 +97358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.369251784,1 +97360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.443105201,1 +97361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.510709816,1 +97359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.302794961,1 +97362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.166839258,1 +97363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.758728659,1 +97364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.842912387,1 +97365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.240362209,1 +97366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.06322518,1 +97367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.603346922,1 +97368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.432451341,1 +97370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.565182739,1 +97372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.878712599,1 +97371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.885654659,1 +97369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.536740741,1 +97373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.970212305,1 +97374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.986519977,1 +97375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.845355877,1 +97377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.381307036,1 +97376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.934741674,1 +97378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.189732856,1 +97379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.903110626,1 +97380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.970354855,1 +97381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.051301293,1 +97382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.842960879,1 +97383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.196413525,1 +97384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.960853261,1 +97385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.778726721,1 +97386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.688719532,1 +97387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.111872793,1 +97388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.800228771,1 +97390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.717627238,1 +97391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.60202762,1 +97389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.039380407,1 +97392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.317633122,1 +97394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.874791879,1 +97393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.211259367,1 +97395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.16769859,1 +97396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.301538018,1 +97397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,7.490754601,1 +97399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.71434219,1 +97398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.382085027,1 +97400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.996830382,1 +97401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.770341992,1 +97404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.962077864,1 +97402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.355130041,1 +97405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.075414279,1 +97406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.846845124,1 +97403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.955971992,1 +97407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.677308603,1 +97408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.709673012,1 +97409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.091135136,1 +97411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.922830155,1 +97410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.198191033,1 +97412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.457223953,1 +97413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.762331305,1 +97414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.636651872,1 +97415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.687974496,1 +97416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.229024036,1 +97417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.237425021,1 +97419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.793144226,1 +97418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.809863441,1 +97420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.541909563,1 +97421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.173400339,1 +97423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.483115469,1 +97424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.69397195,1 +97425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.094716428,1 +97422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,1.971698371,1 +97426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.492627889,1 +97427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.157307846,1 +97428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.719639711,1 +97430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.334729343,1 +97429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.060815067,1 +97431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.992078966,1 +97432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.532285189,1 +97434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.954934123,1 +97433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.54273933,1 +97436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.341782608,1 +97435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.86919727,1 +97437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.510897988,1 +97438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.285615528,1 +97439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.243847366,1 +97440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.234489821,1 +97442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.339393873,1 +97443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.763969093,1 +97444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.555070622,1 +97441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.705694352,1 +97445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.086322394,1 +97447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.124605666,1 +97446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.049853517,1 +97448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.126234685,1 +97449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.096733284,1 +97450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.881659011,1 +97451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.785768878,1 +97452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.291756011,1 +97453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.086396854,1 +97454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.362410969,1 +97455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.097607946,1 +97456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.620468844,1 +97458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.357761906,1 +97457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.92642324,1 +97459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.790995206,1 +97460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.774958769,1 +97461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.333550563,1 +97463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,7.896662406,1 +97462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.672812345,1 +97464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.935932016,1 +97465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.739502112,1 +97466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.571867846,1 +97467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.450869352,1 +97468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.260117705,1 +97469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.735008319,1 +97470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.411825208,1 +97472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.163579553,1 +97471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.283013299,1 +97473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.366284236,1 +97474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.165453809,1 +97475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.441359055,1 +97477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.105540699,1 +97476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.662658228,1 +97478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.81324145,1 +97479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.360514274,1 +97480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.24293092,1 +97481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.477834189,1 +97482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.031847163,1 +97483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.920724334,1 +97484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.854435656,1 +97486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.623876553,1 +97487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.382472048,1 +97485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.954377326,1 +97488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.883088864,1 +97489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.953309056,1 +97490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.935493417,1 +97492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.693354327,1 +97493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.012018381,1 +97491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.403869836,1 +97494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.587030108,1 +97495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.201861538,1 +97497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.758793424,1 +97496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.549562407,1 +97498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.444008163,1 +97499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.893243304,1 +97501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.964471989,1 +97502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.327851506,1 +97503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.876242027,1 +97504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.037906665,1 +97500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.439364966,1 +97505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.598052537,1 +97506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.428991855,1 +97508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.396674286,1 +97507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.649940253,1 +97509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.862810536,1 +97511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.519998366,1 +97510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.262445963,1 +97512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.197207159,1 +97513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.934781472,1 +97514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,7.394785702,1 +97515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.438640432,1 +97517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.920836697,1 +97516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.551776489,1 +97519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.987695024,1 +97521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.247109029,1 +97520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.42882596,1 +97522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.562511472,1 +97518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.892740012,1 +97523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.315064924,1 +97524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.616391697,1 +97525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.263112897,1 +97526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.827374811,1 +97527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.424166059,1 +97528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.385447054,1 +97529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.036804831,1 +97531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.232684948,1 +97530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.773337654,1 +97532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.486296269,1 +97533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.501945033,1 +97534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.762651568,1 +97536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.400421477,1 +97535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.940589483,1 +97537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.21166782,1 +97539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.435241239,1 +97538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.123061301,1 +97541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.468493189,1 +97540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.747311194,1 +97543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.602650431,1 +97544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.75595241,1 +97542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.835860233,1 +97545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.475939874,1 +97546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.291777445,1 +97548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.25280871,1 +97547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.022389181,1 +97549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.842947887,1 +97550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.868592099,1 +97551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.378732949,1 +97552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.63610246,1 +97553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.385396413,1 +97555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.426056747,1 +97554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.471565995,1 +97556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.143601646,1 +97557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,7.302113908,1 +97558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.392106213,1 +97559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.558448474,1 +97560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.959531839,1 +97561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.536791337,1 +97562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.738465997,1 +97563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.091680679,1 +97564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.325061059,1 +97565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.390738348,1 +97566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.419555513,1 +97567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.565444158,1 +97568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.711406856,1 +97569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.911084703,1 +97571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.42385114,1 +97570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.375897869,1 +97572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.577254091,1 +97573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.750054076,1 +97575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.381672045,1 +97574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.292983256,1 +97577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.799765139,1 +97576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.343842525,1 +97578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.449157632,1 +97579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.763429283,1 +97580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.275274535,1 +97581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.739117281,1 +97582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.292554432,1 +97584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.665563506,1 +97583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.909816886,1 +97585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.944325172,1 +97586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.772584411,1 +97587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.935121747,1 +97588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.472868444,1 +97589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.117335815,1 +97591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.418610881,1 +97590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.348867872,1 +97593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,7.938072716,1 +97594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.785667918,1 +97595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.953311569,1 +97596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.717484398,1 +97592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.087357127,1 +97597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.478044899,1 +97599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.224301571,1 +97598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.006931967,1 +97600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.998056472,1 +97601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.410510865,1 +97602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.787084156,1 +97604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.592392187,1 +97603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.899693094,1 +97605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.993300302,1 +97606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.716532229,1 +97607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.096990662,1 +97608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.772959675,1 +97609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.31266079,1 +97610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.545369161,1 +97613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.689745704,1 +97612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.741510001,1 +97614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.718687546,1 +97615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.313680705,1 +97616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.575237758,1 +97611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.309513767,1 +97617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.543786017,1 +97620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.029288006,1 +97619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.319824109,1 +97618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.541068605,1 +97621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.110752976,1 +97622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.799350147,1 +97623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.827859262,1 +97625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.07282107,1 +97627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.17311138,1 +97626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.894943417,1 +97628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.564545728,1 +97624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.844323633,1 +97629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.531486005,1 +97632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.384389142,1 +97630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.753913014,1 +97631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.005014354,1 +97633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.976483346,1 +97634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.369095577,1 +97635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.35679996,1 +97636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.759960918,1 +97637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.285500042,1 +97639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,7.554676769,1 +97640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.889700399,1 +97641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.790890136,1 +97642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.319760808,1 +97638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,7.65025118,1 +97644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.223100938,1 +97643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.921735311,1 +97645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.045713318,1 +97646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.499166994,1 +97648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.077097616,1 +97647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.850784424,1 +97649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.172744564,1 +97650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,1.960149744,1 +97651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.355541109,1 +97653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.139499488,1 +97652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.786377052,1 +97655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.331613305,1 +97656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.623573609,1 +97657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.510683316,1 +97658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.298879304,1 +97654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.547154864,1 +97660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.648596198,1 +97659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.244945987,1 +97662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.549814438,1 +97661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.803454908,1 +97664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.95791929,1 +97663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.370407917,1 +97665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.512541842,1 +97666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.872169108,1 +97667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.994126388,1 +97668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.185179203,1 +97669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.570866079,1 +97670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.465026832,1 +97671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.136476487,1 +97672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.27565649,1 +97674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.049485781,1 +97676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.058783137,1 +97673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.845663186,1 +97675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.594503919,1 +97677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.35615137,1 +97679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.006442197,1 +97678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.676085163,1 +97680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.924851027,1 +97681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.352547963,1 +97682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.094551936,1 +97683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.554534534,1 +97684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.137951258,1 +97685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.021068708,1 +97686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.345232646,1 +97687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.831785853,1 +97688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.776535387,1 +97689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.692879897,1 +97691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.105021936,1 +97690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.848275589,1 +97693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.695426312,1 +97692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.415878175,1 +97694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.240399789,1 +97695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.357989532,1 +97696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.500064563,1 +97698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.409266237,1 +97697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.999082814,1 +97699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.31187269,1 +97700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.679594772,1 +97701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.638382111,1 +97702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.861782062,1 +97703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.415736065,1 +97704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.959687969,1 +97705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.269162595,1 +97706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.007352342,1 +97710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.280937202,1 +97708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.768600461,1 +97709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.986643398,1 +97707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.85071206,1 +97712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.215291869,1 +97711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.970281718,1 +97713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.924290545,1 +97715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.939370261,1 +97714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.399866554,1 +97716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.042837568,1 +97717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.900872228,1 +97718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.081293535,1 +97720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.837588215,1 +97719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.102348662,1 +97721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.162453004,1 +97723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.987320055,1 +97725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.502815012,1 +97722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.930274407,1 +97724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.249935653,1 +97726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.345783079,1 +97727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.655915134,1 +97728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.930237056,1 +97730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.419811524,1 +97731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.312502101,1 +97729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.736586184,1 +97732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.83985276,1 +97733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.009316637,1 +97734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.872837651,1 +97735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.417462706,1 +97736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.518067189,1 +97737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.510287781,1 +97738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.404458737,1 +97739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.522241751,1 +97740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.820719378,1 +97741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.064381435,1 +97742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.366922727,1 +97745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.005901088,1 +97744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.41669091,1 +97746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.80926189,1 +97747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.156216405,1 +97749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.671267284,1 +97743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.678485034,1 +97750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.356194315,1 +97748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.311839475,1 +97751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.050913566,1 +97752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.415984521,1 +97754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.013553762,1 +97756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.336083301,1 +97753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.176354853,1 +97757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.611452063,1 +97755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.388405399,1 +97759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.667450102,1 +97761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.123363707,1 +97762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.737442563,1 +97758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.941109325,1 +97760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.102648541,1 +97763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.881284318,1 +97764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.728774443,1 +97765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.875232721,1 +97767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,7.369013388,1 +97766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.299927162,1 +97769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.413233497,1 +97771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.107728969,1 +97768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.827487107,1 +97770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.155342992,1 +97772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.823761515,1 +97773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.722829722,1 +97774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.063772579,1 +97775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,7.786285944,1 +97778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.069601935,1 +97776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.795767704,1 +97779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.805860721,1 +97780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.313690113,1 +97777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,7.318857665,1 +97781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.241005283,1 +97782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.163270312,1 +97783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.73457554,1 +97784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.666860203,1 +97785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.481559048,1 +97786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.084141649,1 +97788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.922453485,1 +97789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.873547731,1 +97787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.172887112,1 +97790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.187407121,1 +97791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.737972169,1 +97793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.122037711,1 +97794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.68152965,1 +97792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.660717151,1 +97796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.995945458,1 +97797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.663422617,1 +97795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.935247118,1 +97799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.385750503,1 +97798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.472395736,1 +97801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.69001626,1 +97800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.252688408,1 +97803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.553330602,1 +97802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.464768504,1 +97804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.83038971,1 +97805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.193416937,1 +97806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.699287269,1 +97807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.050957678,1 +97808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.767363884,1 +97809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.347841276,1 +97811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.218747811,1 +97812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.944240573,1 +97813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.081694185,1 +97814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.552815107,1 +97810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,8.048901541,1 +97818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.640835957,1 +97816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.903149126,1 +97815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.462115606,1 +97817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.850405465,1 +97819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.866616829,1 +97820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.905002746,1 +97821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.941582164,1 +97822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.102122224,1 +97824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.921286204,1 +97823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.041563107,1 +97825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.662640158,1 +97826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.679536903,1 +97827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.94700274,1 +97829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.54820284,1 +97830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.393317237,1 +97831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.840745728,1 +97828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.152507527,1 +97832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.370560262,1 +97833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.069512078,1 +97834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,7.369750909,1 +97835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,8.615503744,1 +97836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.385933361,1 +97837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.002302346,1 +97838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.765282472,1 +97839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.919122604,1 +97840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.272574284,1 +97841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.339455015,1 +97842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.656397323,1 +97843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.758858264,1 +97844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.790131386,1 +97845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.599445568,1 +97846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.168848262,1 +97848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.568933865,1 +97847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.541439448,1 +97849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.643665479,1 +97850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.730649268,1 +97851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.259229914,1 +97852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.496437307,1 +97853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.318058216,1 +97854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.130591491,1 +97855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.506417314,1 +97857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.640714394,1 +97856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.803040428,1 +97858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.625962118,1 +97859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.40108034,1 +97860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.503536104,1 +97861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.553116687,1 +97862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.273614191,1 +97863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.102661143,1 +97864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.325544754,1 +97865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.878795676,1 +97866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.156116187,1 +97867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.491460303,1 +97868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.692840256,1 +97869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.159455579,1 +97870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.27517935,1 +97871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.703139697,1 +97872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.679319627,1 +97873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.668514044,1 +97875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.398438402,1 +97874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.531033011,1 +97876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.618067928,1 +97877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.228852407,1 +97878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.609565271,1 +97879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.691960585,1 +97880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.470893894,1 +97881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.884861654,1 +97882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.201273912,1 +97884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.06835797,1 +97885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.246202792,1 +97883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.172859858,1 +97886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.23039415,1 +97887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.322866595,1 +97888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.688354992,1 +97889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.540780806,1 +97890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.00354732,1 +97891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.179501603,1 +97892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.154359595,1 +97893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.803869175,1 +97894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.225779854,1 +97895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.831361964,1 +97896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.106019118,1 +97897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.687346163,1 +97898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.260195015,1 +97899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.124372673,1 +97900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.391406172,1 +97901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.192385196,1 +97902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.041336213,1 +97903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.199524509,1 +97904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.109715779,1 +97905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.978059146,1 +97906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.446737507,1 +97907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.409731879,1 +97908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.598122872,1 +97910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.915942912,1 +97911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.960451201,1 +97909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.137810066,1 +97913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.44744257,1 +97914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.223122029,1 +97916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.566682185,1 +97912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.733069745,1 +97917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.934566699,1 +97915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.82185466,1 +97918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.32237609,1 +97920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.806910863,1 +97919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.549749563,1 +97922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.734517987,1 +97921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.20122398,1 +97924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.964232,1 +97923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.224509635,1 +97927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.59475784,1 +97925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.244357978,1 +97926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.935731018,1 +97928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.052574248,1 +97931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.694656414,1 +97929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.485216726,1 +97932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.759814239,1 +97930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.990888791,1 +97933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.35950308,1 +97934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.363543411,1 +97935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.09314687,1 +97937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.561211159,1 +97936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,7.724886365,1 +97938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.531538859,1 +97939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.593826201,1 +97940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.432830903,1 +97941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.360274262,1 +97942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.0370079,1 +97943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.885364158,1 +97944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.402308693,1 +97945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.262552931,1 +97946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.365336698,1 +97947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.777969529,1 +97949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.461323224,1 +97950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.725143928,1 +97951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.27024511,1 +97952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.22962434,1 +97948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.694067033,1 +97953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.569272268,1 +97954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.245805353,1 +97957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.034266205,1 +97955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.751518209,1 +97956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.52795734,1 +97958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.742379225,1 +97960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.389110509,1 +97959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.438595122,1 +97961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.671627724,1 +97962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,7.443462828,1 +97963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.427329945,1 +97966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.803901679,1 +97964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.69309411,1 +97967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.550403556,1 +97968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.005371776,1 +97965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.099272815,1 +97969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.438051082,1 +97970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.24130007,1 +97973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.01801812,1 +97971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.876561361,1 +97972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.559909469,1 +97974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.62521194,1 +97975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.019077581,1 +97976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.590115435,1 +97977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.471347752,1 +97978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.075078949,1 +97980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.861003829,1 +97981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.766723151,1 +97982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,1.851179854,1 +97979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.692103682,1 +97983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.711822542,1 +97984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.45722376,1 +97986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.370771587,1 +97985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.90303441,1 +97987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,7.450924927,1 +97988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.449445434,1 +97989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,6.080176363,1 +97990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.952658429,1 +97991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.585927332,1 +97993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.075595564,1 +97994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.754555199,1 +97995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.006524603,1 +97992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,5.093677351,1 +97997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,3.642106203,1 +97999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.727027466,1 +97996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,2.390204906,1 +97998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,4.948640331,1 +98000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,8,1,1.669790548,1 +107002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.237424813,1 +107001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.591242007,1 +107004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.990936241,1 +107003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.944282375,1 +107006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.654147524,1 +107007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.647751734,1 +107005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.728757414,1 +107008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.664880972,1 +107009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.034444113,1 +107010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.612007275,1 +107011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.616745257,1 +107012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.284171143,1 +107013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.35292882,1 +107014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.515429633,1 +107015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.1697859,1 +107016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.792640019,1 +107017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.828061713,1 +107018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.703225282,1 +107020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.048167393,1 +107019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.593609874,1 +107024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.498530593,1 +107021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.314263043,1 +107023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.228096011,1 +107022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.819032249,1 +107025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.432620114,1 +107026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.056859409,1 +107027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.281424804,1 +107028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.816735537,1 +107030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.236905059,1 +107029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.574288231,1 +107031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.894406182,1 +107032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.471718177,1 +107033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.220920546,1 +107035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.532398082,1 +107036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.123587509,1 +107037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.280021356,1 +107038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.454555164,1 +107034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,1.900462791,1 +107042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.66013869,1 +107039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.484219334,1 +107041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.010121649,1 +107040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.471134046,1 +107043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.883388848,1 +107044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.229902125,1 +107046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.35714504,1 +107045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.93234874,1 +107047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.551018985,1 +107048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.568819556,1 +107049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.748665982,1 +107050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.380010305,1 +107051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.991022806,1 +107053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.469894788,1 +107054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.870171905,1 +107055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.079852097,1 +107052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.308683907,1 +107058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.319096343,1 +107059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.417981275,1 +107056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.246486046,1 +107057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.156104647,1 +107062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.365316553,1 +107060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.590776114,1 +107063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.210501849,1 +107061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.079756538,1 +107064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.959107373,1 +107065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.649241622,1 +107066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.965915071,1 +107068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.746858494,1 +107069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.903218662,1 +107067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.641023712,1 +107070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.157832894,1 +107071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.025556823,1 +107074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.045427892,1 +107072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.887778668,1 +107073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.762467081,1 +107077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.488252479,1 +107078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.336331359,1 +107075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.183902069,1 +107076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.672622832,1 +107079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.538895383,1 +107081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.875948167,1 +107080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.822535092,1 +107082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,8.145316853,1 +107083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.543318902,1 +107084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.324298956,1 +107086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.871712502,1 +107085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.151027123,1 +107087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.967469814,1 +107088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.003720136,1 +107089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.722599792,1 +107090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.516243095,1 +107091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.916008554,1 +107092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,1.608608517,1 +107093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.352592489,1 +107094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.745757169,1 +107098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.895600818,1 +107096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.400364735,1 +107095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.608974626,1 +107097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.036468541,1 +107099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.252555748,1 +107101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.33106942,1 +107102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,1.97159574,1 +107100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.725131707,1 +107103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.175568449,1 +107105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.281584694,1 +107104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.214954856,1 +107106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.121869374,1 +107107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.603507805,1 +107108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.44743315,1 +107109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.611074729,1 +107110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.457559625,1 +107113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,8.711679619,1 +107111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.921452622,1 +107114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.90282405,1 +107112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.508954182,1 +107116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.304924965,1 +107115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.054378803,1 +107118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.694034432,1 +107117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,1.695386683,1 +107119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.61000731,1 +107121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.626501903,1 +107120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.716548387,1 +107122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.294557077,1 +107123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.452688936,1 +107124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.809054625,1 +107125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.019354028,1 +107127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.218004539,1 +107128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.508233476,1 +107129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.453174041,1 +107126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.766896606,1 +107132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.085001472,1 +107130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.457653842,1 +107131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.024456472,1 +107133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.295562427,1 +107135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.36382513,1 +107134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.986880159,1 +107136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.825081948,1 +107137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.092903692,1 +107138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.124279427,1 +107139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.865356992,1 +107140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.903378598,1 +107141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.880746696,1 +107142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.093428052,1 +107143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.85505229,1 +107144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.769271983,1 +107146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.051102125,1 +107145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.469667158,1 +107147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.180464053,1 +107148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,8.147957438,1 +107150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.695611927,1 +107149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.723217822,1 +107151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.646200143,1 +107152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.959698902,1 +107153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.340010802,1 +107154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.929445951,1 +107155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.08796916,1 +107156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.37232225,1 +107158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.881530837,1 +107159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,9.275513481,1 +107157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.05500744,1 +107160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.933941904,1 +107161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.745975406,1 +107162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.606164894,1 +107164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.157667118,1 +107163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.931073906,1 +107165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.969429211,1 +107166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.108215567,1 +107168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.662291127,1 +107167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.725651424,1 +107169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.442257833,1 +107171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.818882875,1 +107170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.270296013,1 +107172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.567056872,1 +107173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.926788632,1 +107176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.646604467,1 +107175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.613423655,1 +107174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.359139451,1 +107177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.203695647,1 +107178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.99782998,1 +107179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.725017016,1 +107180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.709016828,1 +107181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.999753081,1 +107182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.5492792,1 +107183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.90330645,1 +107184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.997122264,1 +107187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.783381572,1 +107185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.08596057,1 +107186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.190757031,1 +107188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.753636702,1 +107190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.851206383,1 +107189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.997927902,1 +107191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.483614772,1 +107193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.475731074,1 +107194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.677188565,1 +107192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.142326067,1 +107195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.404380499,1 +107196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.643721712,1 +107197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.746658881,1 +107198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.488714845,1 +107199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,9.090810539,1 +107200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.764168902,1 +107203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.520746559,1 +107202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.371417482,1 +107204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.742409782,1 +107201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.338804639,1 +107206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.172269126,1 +107209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.943275755,1 +107208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.042445861,1 +107205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.63759679,1 +107207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.562537268,1 +107211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.557647024,1 +107212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.636768733,1 +107213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.059265284,1 +107214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.698734008,1 +107215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.26422049,1 +107210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.887471228,1 +107216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.484671146,1 +107217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.594849738,1 +107218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,1.557404647,1 +107220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.833087799,1 +107219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.099139698,1 +107222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.328600619,1 +107221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.488222819,1 +107224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.788610953,1 +107226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.465035518,1 +107225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.882269659,1 +107227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.716845851,1 +107223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.324904947,1 +107228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.199746076,1 +107229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.36583628,1 +107230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.470652859,1 +107231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.760902147,1 +107232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,8.277559514,1 +107233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.863465551,1 +107235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.926408611,1 +107236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.146512805,1 +107237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.759183491,1 +107238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.150752112,1 +107234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.559003348,1 +107240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.321530161,1 +107239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.845761908,1 +107242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.792878822,1 +107243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.428987864,1 +107245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.66638456,1 +107241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.914439158,1 +107244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.796086687,1 +107246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.13082222,1 +107247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.908539419,1 +107248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.193270945,1 +107249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.47971687,1 +107250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.155121719,1 +107251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.503030577,1 +107252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.262744512,1 +107253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.553681994,1 +107254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.004000072,1 +107257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.466467747,1 +107255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.739995871,1 +107256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.507928925,1 +107260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.519151825,1 +107258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.774950751,1 +107261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.688594573,1 +107259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.967008402,1 +107263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.568751198,1 +107262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.338658015,1 +107264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.168429289,1 +107265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.208380494,1 +107268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.293205944,1 +107266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.440238075,1 +107267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.1320757,1 +107269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.744921154,1 +107271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.130754726,1 +107272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.196476269,1 +107273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.339273467,1 +107270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.599298317,1 +107274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.853687141,1 +107275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.002330163,1 +107277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.961178592,1 +107276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.756975719,1 +107280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.905930901,1 +107278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.433570171,1 +107279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.574076521,1 +107281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.207383132,1 +107282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.930132487,1 +107283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.191458639,1 +107285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.485938955,1 +107284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.502051044,1 +107286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.623948864,1 +107287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.542939713,1 +107288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.059819125,1 +107289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.187844063,1 +107290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.440490881,1 +107291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.774174251,1 +107292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.073065704,1 +107293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.782198821,1 +107294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.469764965,1 +107297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.390167223,1 +107295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.261187179,1 +107296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.787754054,1 +107298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.407513319,1 +107300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.527958714,1 +107301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.276743918,1 +107299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.878268723,1 +107302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.994603857,1 +107304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.686787931,1 +107303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.540322448,1 +107306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.784113718,1 +107307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.188890808,1 +107305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.826093459,1 +107308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.115497768,1 +107309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.108587148,1 +107312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.479000619,1 +107311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.139429855,1 +107310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.071657897,1 +107315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.596738742,1 +107313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.775087484,1 +107314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.751553837,1 +107316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.658141753,1 +107318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.837136755,1 +107317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.830591745,1 +107319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.669697477,1 +107320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.697975666,1 +107321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.407580431,1 +107323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.650459597,1 +107322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.022374824,1 +107324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.508775144,1 +107325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.531246109,1 +107326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.567453537,1 +107329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.727737756,1 +107327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.291206042,1 +107328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.488868443,1 +107330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.696619145,1 +107332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.954215334,1 +107334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.212863115,1 +107333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.689480874,1 +107331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.837104219,1 +107335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.142141826,1 +107336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.167324143,1 +107337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.108635519,1 +107338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.315263533,1 +107340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,8.042059596,1 +107339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.664446417,1 +107341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.791590523,1 +107342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.254888534,1 +107343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.416197973,1 +107344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.476932234,1 +107345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.566495639,1 +107346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.059164444,1 +107347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.672104121,1 +107348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.276836514,1 +107350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.517353027,1 +107349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.345987672,1 +107351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.120528134,1 +107352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.75822099,1 +107353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.113732763,1 +107354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.768790883,1 +107355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.507202469,1 +107357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.948136979,1 +107359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.26746962,1 +107356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.812091682,1 +107358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.194353117,1 +107360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.454354872,1 +107363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.035749047,1 +107362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.271062894,1 +107361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.462008792,1 +107364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.993205722,1 +107365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.382364568,1 +107366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.669185609,1 +107367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.153234247,1 +107370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.795661389,1 +107371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.027067178,1 +107368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.918629803,1 +107369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.498085349,1 +107372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.107749455,1 +107373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.612288024,1 +107374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.348862907,1 +107375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.358882106,1 +107376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.380366068,1 +107378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.06231292,1 +107377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.499226515,1 +107379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.365557392,1 +107380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.642286324,1 +107381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.982283185,1 +107382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.99282428,1 +107383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.614942183,1 +107385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.522888529,1 +107387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.269836009,1 +107384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.600840588,1 +107386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.255702783,1 +107390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.540799468,1 +107388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.729143213,1 +107389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.001704189,1 +107391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.772997144,1 +107392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.173486783,1 +107393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.346741488,1 +107394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.148390411,1 +107395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.830895263,1 +107396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.943236289,1 +107397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.979499072,1 +107398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.265528957,1 +107399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.11024724,1 +107400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.533020309,1 +107401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.308841718,1 +107402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.066996438,1 +107403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.870230146,1 +107404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.762220113,1 +107406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.159827319,1 +107405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.16427916,1 +107407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.438027814,1 +107408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.895629401,1 +107410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.904128372,1 +107409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.281100567,1 +107412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.231871465,1 +107411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.986716229,1 +107413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.798496038,1 +107414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.86895693,1 +107415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.233431902,1 +107417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.256441214,1 +107418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.869296221,1 +107416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.412229494,1 +107419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.527919341,1 +107420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.254101668,1 +107421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.560693207,1 +107422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.157485898,1 +107424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.527955919,1 +107425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.504874708,1 +107423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.9240485,1 +107426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.642645077,1 +107427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.867491977,1 +107428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.738504294,1 +107429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.576122359,1 +107430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.203878059,1 +107431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.457019591,1 +107432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.475428568,1 +107433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.702491279,1 +107434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.059089388,1 +107435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.250210686,1 +107436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.961476578,1 +107437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.5396334,1 +107438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.148395409,1 +107440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.908237044,1 +107441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.924839199,1 +107439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.088615544,1 +107445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.855536604,1 +107444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.149229187,1 +107442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.237557158,1 +107446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.044482896,1 +107443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.400515988,1 +107447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.428256918,1 +107449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.603003491,1 +107450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.080928036,1 +107451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.083652897,1 +107448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.649269151,1 +107452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.553588775,1 +107453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.870120179,1 +107454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.52712949,1 +107458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.712067099,1 +107457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.914804133,1 +107456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.187191499,1 +107455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.107604291,1 +107460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.934118582,1 +107462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.411273052,1 +107459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.170934276,1 +107461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.852434851,1 +107464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.754798433,1 +107465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.35600434,1 +107466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.53005026,1 +107463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.834437552,1 +107468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.845673951,1 +107470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.516503646,1 +107469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.363462402,1 +107467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.998673391,1 +107471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.674212965,1 +107473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.979150141,1 +107472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.229493699,1 +107477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.484186596,1 +107474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.948867324,1 +107476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.435908237,1 +107475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.675678726,1 +107478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.843917264,1 +107479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.069554,1 +107480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.903433648,1 +107481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.677631003,1 +107484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.822585202,1 +107482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.482936508,1 +107485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.036628899,1 +107483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.807295804,1 +107486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.674281529,1 +107487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.7644409,1 +107488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,1.446855362,1 +107489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.372383758,1 +107490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.261939886,1 +107492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.66141789,1 +107493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.790777656,1 +107494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.00139737,1 +107496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.269714724,1 +107491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.438120781,1 +107495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.61259538,1 +107497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.407315121,1 +107499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.912170956,1 +107498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.450461082,1 +107500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.790713738,1 +107501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.912756915,1 +107502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.96057658,1 +107503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.554671817,1 +107504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.395013279,1 +107505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.277134634,1 +107506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.724883163,1 +107507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.771072432,1 +107508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.274227032,1 +107509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.134884774,1 +107511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.249916235,1 +107512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.348273147,1 +107514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.309105803,1 +107510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.552437915,1 +107513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.295765701,1 +107515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.058081627,1 +107517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.468449801,1 +107518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.625644172,1 +107516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.044980612,1 +107519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.271570459,1 +107520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.622753695,1 +107521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.397573479,1 +107522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.138070564,1 +107523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.107187592,1 +107525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.893153371,1 +107524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.181968912,1 +107526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.763974226,1 +107527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.040995873,1 +107528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.027090459,1 +107530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.265177095,1 +107531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.321963934,1 +107529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.207367225,1 +107533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.222149996,1 +107532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.581058504,1 +107535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.463977744,1 +107537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.675822084,1 +107534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.580951385,1 +107538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.431390635,1 +107536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.37841042,1 +107539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.601087739,1 +107540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.070346665,1 +107542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.21351451,1 +107543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.495382127,1 +107541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.322180997,1 +107544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.737851067,1 +107545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.074623954,1 +107546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.890371666,1 +107547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.551552095,1 +107548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.979726395,1 +107549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.94066282,1 +107551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.676115702,1 +107550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.915335939,1 +107553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.087513611,1 +107552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.452242819,1 +107555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.821212231,1 +107557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.274547224,1 +107554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.461383078,1 +107556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.969877394,1 +107558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.745802671,1 +107559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.248021614,1 +107560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.618723327,1 +107561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.345645928,1 +107563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.041168769,1 +107562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.223952742,1 +107565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.739923364,1 +107564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.099896486,1 +107566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.107518983,1 +107568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.633427019,1 +107567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.077825238,1 +107570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.257277184,1 +107569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.172449134,1 +107572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.240559496,1 +107571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.151468328,1 +107573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.756741449,1 +107575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.160148237,1 +107574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.882532331,1 +107576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.676047197,1 +107577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.213089346,1 +107578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.066091615,1 +107579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.49911439,1 +107580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.036782895,1 +107581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.481074096,1 +107582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.304846896,1 +107583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.794494288,1 +107584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.867902827,1 +107585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.233673418,1 +107587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.786640867,1 +107586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.814672294,1 +107588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.363353044,1 +107590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.43302023,1 +107591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.676543105,1 +107589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.794190974,1 +107592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.011742062,1 +107593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.037777854,1 +107594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.645215775,1 +107596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.014181694,1 +107595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.926921793,1 +107597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.690280491,1 +107598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.122900744,1 +107599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.586938034,1 +107601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.435763535,1 +107602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.077560518,1 +107603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.05150988,1 +107604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.173788501,1 +107600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.398003581,1 +107606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.366748761,1 +107605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.052240597,1 +107608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.444288573,1 +107607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.285125619,1 +107609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.126785763,1 +107611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.804672998,1 +107610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.642615962,1 +107612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.046205093,1 +107613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.347226306,1 +107615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.6012565,1 +107616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.67122015,1 +107617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.395791554,1 +107618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.361201357,1 +107619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.383257886,1 +107620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.050429463,1 +107621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.599417442,1 +107614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.211461754,1 +107622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.190025153,1 +107625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.295670389,1 +107623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.411560615,1 +107624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.138432562,1 +107627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.801088645,1 +107628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.729845034,1 +107629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.578179378,1 +107626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.374746236,1 +107630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.573997751,1 +107631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.556013114,1 +107632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.625259752,1 +107633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.028723149,1 +107635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.90161689,1 +107636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.736901361,1 +107637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.079783396,1 +107638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.691020776,1 +107639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.704275042,1 +107640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.741136619,1 +107634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.313426035,1 +107643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.995382691,1 +107644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.932857485,1 +107641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.033615652,1 +107642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.698630224,1 +107646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.868364615,1 +107647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.736312118,1 +107648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.894915017,1 +107649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.028501253,1 +107650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.458180284,1 +107645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.195638702,1 +107651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.102626203,1 +107653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.62045687,1 +107654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.414479844,1 +107655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.401103067,1 +107656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.04179255,1 +107657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.023608564,1 +107652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.587123363,1 +107660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.833418487,1 +107661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.471176395,1 +107659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.717230022,1 +107658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.141411386,1 +107662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.045494268,1 +107663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.033937136,1 +107664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.338849306,1 +107665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.336773086,1 +107667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.884510717,1 +107668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.090372512,1 +107666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.959952224,1 +107669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.151255161,1 +107672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.462392742,1 +107673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.483680799,1 +107671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.023319692,1 +107674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.783192584,1 +107676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.288039359,1 +107675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.57024314,1 +107670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.917783984,1 +107677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.827816939,1 +107681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.727589176,1 +107680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.098863376,1 +107679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.28906285,1 +107678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.89246196,1 +107684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.320055831,1 +107683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.848581421,1 +107685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.280697965,1 +107686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.08403936,1 +107687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.691557008,1 +107688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.529250381,1 +107682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.670774042,1 +107689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.124522345,1 +107690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.309975858,1 +107691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.017784716,1 +107692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.819019252,1 +107693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.965919893,1 +107695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.663812069,1 +107696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.927590677,1 +107694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.502711779,1 +107699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.379443591,1 +107697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.144916057,1 +107700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.051543395,1 +107698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.226025551,1 +107702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.676075025,1 +107701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.93060924,1 +107703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.962704838,1 +107704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.309871004,1 +107705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.75009877,1 +107706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.218310321,1 +107708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.177582606,1 +107707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.663208578,1 +107710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,8.049552169,1 +107709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.141468259,1 +107711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.185544898,1 +107713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.286489714,1 +107714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.728463232,1 +107715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.889022544,1 +107712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.906705495,1 +107716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.404758517,1 +107718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.914086872,1 +107717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.294559782,1 +107719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.896202327,1 +107721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.268554031,1 +107722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.717160929,1 +107720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.492875062,1 +107723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.569559511,1 +107724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.49229648,1 +107725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.803977845,1 +107726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.948741021,1 +107727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.809361286,1 +107728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.01902906,1 +107729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.391554875,1 +107730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.914907326,1 +107733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.372999144,1 +107731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.751052614,1 +107734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.975340111,1 +107732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.889613091,1 +107737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.388866088,1 +107735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.812486528,1 +107738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.392464469,1 +107740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.940033715,1 +107741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.981402013,1 +107736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.225021807,1 +107739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.589648138,1 +107743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.885283898,1 +107742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.798899668,1 +107744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.602798571,1 +107745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.266693365,1 +107747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.378670001,1 +107746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.998072545,1 +107749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.364193363,1 +107748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.209871705,1 +107752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.356091592,1 +107751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.300919305,1 +107753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.392830438,1 +107750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.586231721,1 +107754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.007544144,1 +107756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.808254231,1 +107757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.849453864,1 +107755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.67723074,1 +107760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.197349117,1 +107759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.991117367,1 +107758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.26007816,1 +107761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.94808601,1 +107762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.722828949,1 +107763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.399011217,1 +107764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.570770878,1 +107765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.176131149,1 +107766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.30894227,1 +107767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.799942129,1 +107768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.761364038,1 +107769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.343468344,1 +107772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.925287416,1 +107771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.951625915,1 +107770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.904754063,1 +107773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.009483016,1 +107775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.186714687,1 +107776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.352239974,1 +107774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.421511282,1 +107777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.743768529,1 +107778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.374444327,1 +107779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.109022078,1 +107781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.383788349,1 +107780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,1.874145324,1 +107782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.756952177,1 +107783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.717685525,1 +107784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.00782733,1 +107786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.799346936,1 +107785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.3945454,1 +107787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.882937189,1 +107788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.384966669,1 +107790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.082846886,1 +107789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.118619864,1 +107791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.357359371,1 +107792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.962161688,1 +107794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.970166131,1 +107793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.709474205,1 +107795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.13729246,1 +107796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.623534167,1 +107797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.4341892,1 +107798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.207083242,1 +107800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.726592044,1 +107799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.179550872,1 +107801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.747770416,1 +107803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.791854096,1 +107804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.170711887,1 +107802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.671470446,1 +107805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.510872831,1 +107806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.869767806,1 +107808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.18185243,1 +107807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.231263538,1 +107810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.732424248,1 +107811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.687455555,1 +107809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.500456272,1 +107812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.941405446,1 +107813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.89789017,1 +107814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.499141428,1 +107815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.826567726,1 +107816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.606680877,1 +107817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.426697703,1 +107819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.692161396,1 +107820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.79808027,1 +107818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.485876388,1 +107822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.109417534,1 +107821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.84878103,1 +107824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.885911565,1 +107823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.042813658,1 +107825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.603506283,1 +107826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.266313691,1 +107827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.973181376,1 +107828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.04170022,1 +107830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.877829691,1 +107832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.67784553,1 +107829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.912678523,1 +107831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,8.924337889,1 +107833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.546456324,1 +107835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.985800946,1 +107837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.729684959,1 +107834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.562805702,1 +107836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.866154167,1 +107839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.945115007,1 +107838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.480612857,1 +107840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.648817066,1 +107841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.251482426,1 +107843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.100585388,1 +107844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.593005402,1 +107845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.124409638,1 +107842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.330553517,1 +107847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.74410722,1 +107849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.46230554,1 +107846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.812304001,1 +107848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.644713818,1 +107850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.683905417,1 +107851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.619953289,1 +107852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.208497317,1 +107853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.052383435,1 +107854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.761638266,1 +107855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.731942925,1 +107856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.810912166,1 +107857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.176845186,1 +107858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.965495995,1 +107860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.516938338,1 +107859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.874067234,1 +107863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.763578516,1 +107862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.675090021,1 +107864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.063189599,1 +107861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.597576635,1 +107866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.142191873,1 +107865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.260022463,1 +107867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.089440983,1 +107869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.63218316,1 +107870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.911396405,1 +107871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.690457533,1 +107868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.544376495,1 +107872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.234886675,1 +107873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.63403981,1 +107874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.038191426,1 +107876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.279761538,1 +107877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.802828217,1 +107878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.053329064,1 +107875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.031882736,1 +107880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.913995019,1 +107879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.159683729,1 +107882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.743215189,1 +107884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.736945461,1 +107881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.897594492,1 +107883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.202713811,1 +107885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.512860494,1 +107886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.979301236,1 +107887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.590643746,1 +107888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.001430262,1 +107890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.512723411,1 +107892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.732923806,1 +107891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.661859407,1 +107893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.507658354,1 +107889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.813089793,1 +107894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.388475163,1 +107895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.443593941,1 +107898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.526570138,1 +107899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.551773288,1 +107897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.003386102,1 +107896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.348112245,1 +107902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.363099949,1 +107900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.304179009,1 +107903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.152100407,1 +107904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.108894139,1 +107901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.064599513,1 +107905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.560472113,1 +107906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.718587686,1 +107907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.383978786,1 +107908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.841816768,1 +107909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.9250823,1 +107910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.274874369,1 +107912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.128987028,1 +107913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.491607816,1 +107914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.060377117,1 +107915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.451101598,1 +107916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.398129239,1 +107911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.878146916,1 +107918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.370494828,1 +107920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.826567609,1 +107919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.477252295,1 +107917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.990290906,1 +107922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.059444286,1 +107923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.938030975,1 +107924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.978309484,1 +107921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.70674729,1 +107927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.295747555,1 +107925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.599098921,1 +107926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.000962571,1 +107928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.314888596,1 +107929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.741058616,1 +107931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.443623363,1 +107930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.482105044,1 +107932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.656286644,1 +107933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.467058766,1 +107936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.449324582,1 +107935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.327596851,1 +107934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.441153387,1 +107938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.677783069,1 +107940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.163213298,1 +107937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.826357661,1 +107939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.69706076,1 +107942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.857286172,1 +107941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.095144902,1 +107943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.6726011,1 +107944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.762368497,1 +107945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.462346265,1 +107946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.628916582,1 +107947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.999759584,1 +107948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.598720858,1 +107949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.711884389,1 +107950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.710986587,1 +107951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.497278734,1 +107955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.003027417,1 +107954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.071110743,1 +107952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.144147118,1 +107953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.645826882,1 +107956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.466981975,1 +107959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.135066472,1 +107957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.689553394,1 +107958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,8.106970531,1 +107961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.405491814,1 +107962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.354911893,1 +107960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.53122263,1 +107963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.109940896,1 +107964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.035645438,1 +107965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.402975608,1 +107966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.29654443,1 +107967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.89692346,1 +107968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.176114507,1 +107969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.843515742,1 +107970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.955603549,1 +107972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.535197145,1 +107973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.45498951,1 +107971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.693698904,1 +107975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.762482886,1 +107977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.05082845,1 +107974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.224600076,1 +107976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.145476047,1 +107978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.785026387,1 +107979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.923310701,1 +107980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.919303523,1 +107981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.92981993,1 +107982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.126845377,1 +107983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.701271022,1 +107984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.377616668,1 +107985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.020349817,1 +107986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,7.952506434,1 +107988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.421175518,1 +107989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.183160772,1 +107990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.444253186,1 +107992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.738577378,1 +107987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.327625267,1 +107991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.04631604,1 +107993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.172525276,1 +107996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.14225392,1 +107995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,3.964419631,1 +107994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,2.409792746,1 +107997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,5.560865398,1 +107998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.540574498,1 +107999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,4.424365344,1 +108000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,8,1,6.281109314,1 +117001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.119875257,1 +117002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.497110419,1 +117003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.297179674,1 +117004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.096446287,1 +117006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.298858438,1 +117005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.477279876,1 +117007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.854607549,1 +117009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.725652578,1 +117010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.289375402,1 +117008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.342788797,1 +117011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.587700129,1 +117012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.190161072,1 +117013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.193534738,1 +117016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.367509299,1 +117015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.304506104,1 +117017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.403850984,1 +117014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.122707851,1 +117019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.030640365,1 +117018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.000160459,1 +117020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.879694591,1 +117021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.445533196,1 +117022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.172008899,1 +117023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.06721975,1 +117024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.917667489,1 +117025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.131952625,1 +117026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.863667141,1 +117027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.218618189,1 +117028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.435653165,1 +117030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.95772709,1 +117029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.187134848,1 +117031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.480941532,1 +117032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.13362413,1 +117035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.692110511,1 +117033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.238232638,1 +117034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.839619549,1 +117038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.131217316,1 +117037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.223367117,1 +117036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.652307767,1 +117039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.430286626,1 +117040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.994560376,1 +117041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.570238427,1 +117042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.815348707,1 +117044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.606436563,1 +117043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.332948892,1 +117045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.063962979,1 +117046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.512658861,1 +117049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.916258075,1 +117050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.033233658,1 +117048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.005422324,1 +117047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.912137795,1 +117053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.161200764,1 +117051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.358277237,1 +117052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.020149867,1 +117054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.424468858,1 +117055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.620326996,1 +117057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.496475659,1 +117056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.860262253,1 +117058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.143912377,1 +117060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.315989601,1 +117061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.926933211,1 +117059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.397756046,1 +117062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.686749492,1 +117063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.643169241,1 +117065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.809450855,1 +117064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.533502958,1 +117066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.428017949,1 +117067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.535435276,1 +117069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.490030565,1 +117068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.883944695,1 +117070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.355324296,1 +117072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.150618497,1 +117071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.666974327,1 +117073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.316451993,1 +117075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.232153388,1 +117074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.223377719,1 +117076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.667326523,1 +117077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.974388449,1 +117079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.132436209,1 +117080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.556978319,1 +117081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.835482943,1 +117078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.658004721,1 +117084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.0137158,1 +117083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.015861684,1 +117082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.626712453,1 +117085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.711944453,1 +117087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.643892587,1 +117086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.764563307,1 +117088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.180885857,1 +117089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.067592595,1 +117090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.609109585,1 +117091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.469770785,1 +117092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.839283039,1 +117093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.260566692,1 +117094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.767819083,1 +117095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.877683328,1 +117096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.769372833,1 +117097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.127791999,1 +117098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.547215731,1 +117099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.518448238,1 +117101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.839299211,1 +117102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.608707973,1 +117103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.20491931,1 +117104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.602255949,1 +117105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.516139658,1 +117100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.28122168,1 +117107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.245684274,1 +117108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.679115782,1 +117109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,7.790184515,1 +117106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.603707687,1 +117110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.9165441,1 +117112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.814658006,1 +117113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.327678714,1 +117111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.208151527,1 +117115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.925512951,1 +117114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.568713322,1 +117117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.828013308,1 +117119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.930330823,1 +117116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.181904102,1 +117120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.431835855,1 +117121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.185236962,1 +117118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.966748601,1 +117122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.874259967,1 +117123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.364693955,1 +117124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.934238351,1 +117126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.911791135,1 +117125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.328193902,1 +117129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.049025435,1 +117127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.396559224,1 +117128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.828240002,1 +117130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.210761182,1 +117131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.405952493,1 +117132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.344604584,1 +117133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,7.762950763,1 +117136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.302212764,1 +117137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.764531627,1 +117135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.265553558,1 +117138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.001397596,1 +117134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.364287949,1 +117139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.815538375,1 +117140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.390957565,1 +117141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.319934001,1 +117142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.669005354,1 +117145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.682930475,1 +117143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.914050023,1 +117146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.866153229,1 +117144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.604628395,1 +117147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.644483406,1 +117148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.618691752,1 +117150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.818297575,1 +117149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.196741893,1 +117152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.894754322,1 +117153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.83222272,1 +117154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.479610175,1 +117155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.544619862,1 +117151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.333736352,1 +117156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.778635479,1 +117159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.526598193,1 +117158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.386061325,1 +117157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.804846727,1 +117160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.715896341,1 +117161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.623351614,1 +117162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.316538295,1 +117163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.887196293,1 +117164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.560000987,1 +117165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.482773012,1 +117166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.579997673,1 +117167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.951309954,1 +117168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.236444918,1 +117170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.728468045,1 +117172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.130183388,1 +117169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.997267465,1 +117175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.360091619,1 +117171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.75807824,1 +117173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.064296331,1 +117174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.446276467,1 +117176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.084265784,1 +117178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.518226738,1 +117179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.549629948,1 +117177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.440987202,1 +117180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.41412789,1 +117181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.284895928,1 +117182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.909734467,1 +117183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.900696273,1 +117185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.695895313,1 +117187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.31366695,1 +117186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.02479585,1 +117184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.294191772,1 +117188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.218086085,1 +117190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.595459258,1 +117191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.464363832,1 +117189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.810767414,1 +117192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.805453092,1 +117193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.71079088,1 +117194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.282849208,1 +117195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.197541282,1 +117196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.534585532,1 +117197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.573651209,1 +117198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.986608033,1 +117199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.525616312,1 +117201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.674441991,1 +117200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.123748519,1 +117203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,1.424982377,1 +117202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.887365929,1 +117204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.371733077,1 +117205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.519083479,1 +117207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.080832708,1 +117206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.175167603,1 +117208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.745987772,1 +117209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.796348343,1 +117210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.124654814,1 +117212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.406847111,1 +117211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.64416631,1 +117213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.740147139,1 +117214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.777783393,1 +117215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.351780251,1 +117216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.917105932,1 +117217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.062807566,1 +117218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.596185358,1 +117219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.709720517,1 +117221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,7.413462872,1 +117220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.805884643,1 +117222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.405867277,1 +117223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.906973931,1 +117224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.219743667,1 +117225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.255715025,1 +117226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.440705846,1 +117228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.83919656,1 +117227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.197863895,1 +117229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.196678728,1 +117230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.739560934,1 +117232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.553642718,1 +117231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,7.295297095,1 +117233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.967239768,1 +117234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.190745012,1 +117235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.655663404,1 +117236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.229178122,1 +117237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.0325189,1 +117238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.641141657,1 +117239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.100191153,1 +117240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.311819311,1 +117241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,1.924501108,1 +117242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.907918132,1 +117244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.526143934,1 +117243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.349816508,1 +117245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.184479921,1 +117246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.26179767,1 +117247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.909726569,1 +117248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.573798153,1 +117249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.91063927,1 +117250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.765258193,1 +117252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.137411475,1 +117251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.678224711,1 +117254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.805955663,1 +117255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.117699456,1 +117256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.2143636,1 +117253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.383865504,1 +117258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.670955764,1 +117257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.165898376,1 +117259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.843390307,1 +117261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.862358118,1 +117262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,7.200369298,1 +117260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.869579802,1 +117263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.264220471,1 +117265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.455401107,1 +117264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.951775967,1 +117266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.096196636,1 +117268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.778397776,1 +117269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.519058237,1 +117267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.70948811,1 +117271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.809369654,1 +117272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.226640086,1 +117273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.778622797,1 +117270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.814410106,1 +117274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.663191082,1 +117276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.156888342,1 +117275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.391151384,1 +117279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.427776445,1 +117277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.349681187,1 +117281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.143810623,1 +117282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.917795769,1 +117278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.036358905,1 +117280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.852402787,1 +117285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.402759363,1 +117286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.807665043,1 +117283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.274679772,1 +117284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.275414451,1 +117288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.793067513,1 +117287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.822672431,1 +117289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.492382304,1 +117291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.032559812,1 +117292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.709312153,1 +117290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.108359263,1 +117293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.199059389,1 +117294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.644574636,1 +117295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.923207441,1 +117297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.988144857,1 +117296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.638366575,1 +117298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.543327433,1 +117299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.194739676,1 +117300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.76107799,1 +117301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.340215398,1 +117302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.713356056,1 +117303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.420172486,1 +117304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.566448997,1 +117305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.984585872,1 +117306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.715428782,1 +117307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.083730391,1 +117308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.228825399,1 +117310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.700494326,1 +117311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.883124421,1 +117312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.57533191,1 +117309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.503566987,1 +117313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.092227055,1 +117314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.488758637,1 +117315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.30764943,1 +117317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.665041364,1 +117318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.735142206,1 +117316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.594581369,1 +117319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.038962802,1 +117320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.434883078,1 +117321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.779513177,1 +117322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,7.438055715,1 +117323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.808276942,1 +117324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.047774716,1 +117325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.926616585,1 +117326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.684235445,1 +117327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.41080567,1 +117328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.318139587,1 +117329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.371392502,1 +117331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.431787971,1 +117332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.99068748,1 +117330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.25828882,1 +117333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.553789601,1 +117334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.745792373,1 +117335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.155605852,1 +117337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.425809555,1 +117336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.356081207,1 +117338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.858757233,1 +117339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.467207506,1 +117340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.492099765,1 +117341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.696071276,1 +117342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.274299836,1 +117343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.585123325,1 +117344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.971111274,1 +117346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.775583297,1 +117347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.131929525,1 +117345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.161894497,1 +117348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.187966247,1 +117349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,7.278748029,1 +117350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.070363177,1 +117352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.517166309,1 +117353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.070253967,1 +117351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.81746553,1 +117354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.789474033,1 +117355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.711691119,1 +117358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.302637881,1 +117356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.673386352,1 +117357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.813647943,1 +117359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.726560961,1 +117360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.700457672,1 +117361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.422086156,1 +117363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.784727644,1 +117362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.248079267,1 +117364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.413062201,1 +117365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.502825473,1 +117366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,7.007023252,1 +117368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.15983336,1 +117369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.892852998,1 +117370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.826900843,1 +117367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.557455836,1 +117371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.597964977,1 +117372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.331109903,1 +117373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.960397031,1 +117375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.574002486,1 +117374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.466485698,1 +117376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.752774671,1 +117377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.944276078,1 +117379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.746094537,1 +117378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.356677408,1 +117380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.163909415,1 +117381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.172417786,1 +117383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.703346284,1 +117384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.977555965,1 +117382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.188140586,1 +117385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.402341689,1 +117386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.55599752,1 +117387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.348965816,1 +117389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.358641934,1 +117388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.004316245,1 +117390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.468022084,1 +117391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.695601669,1 +117392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.936633096,1 +117393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.394739523,1 +117394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.754071927,1 +117395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.396689222,1 +117396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.489440387,1 +117398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.092660297,1 +117399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.57124411,1 +117397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.859349435,1 +117400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.129490216,1 +117401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.95806062,1 +117402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.988799675,1 +117403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.472339188,1 +117404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.241875622,1 +117406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.681785398,1 +117405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.43159182,1 +117407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.526236869,1 +117408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.99006745,1 +117409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.095633717,1 +117410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.499154778,1 +117412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.648863585,1 +117413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.142781935,1 +117414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.072194865,1 +117411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.317795538,1 +117415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.699528262,1 +117416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.152190936,1 +117417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.066733042,1 +117418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.443309627,1 +117420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.845771319,1 +117419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.017315326,1 +117421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.769968684,1 +117422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.070616038,1 +117424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,1.99692918,1 +117425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.979057795,1 +117423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.919156009,1 +117426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.363190208,1 +117427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.680181231,1 +117428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.221060567,1 +117429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.119620701,1 +117430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.54093788,1 +117431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.818233652,1 +117432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.712418471,1 +117433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.59498836,1 +117437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.373286281,1 +117435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.67339434,1 +117436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.491271612,1 +117434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.104048038,1 +117438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.487863144,1 +117439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.586787518,1 +117440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.366219144,1 +117442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.84051251,1 +117444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.260923137,1 +117443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.301866345,1 +117441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.620914549,1 +117445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.360886603,1 +117447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.325294014,1 +117446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.587593096,1 +117449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.772782431,1 +117450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.060860003,1 +117448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.007094075,1 +117451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.438441131,1 +117452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.845543175,1 +117453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.87985224,1 +117454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.447088868,1 +117455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.963773004,1 +117456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.266267781,1 +117457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.320327017,1 +117459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.406522706,1 +117460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.569343173,1 +117461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.31709936,1 +117458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.631534606,1 +117462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.656500138,1 +117465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,7.220516455,1 +117463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.74059054,1 +117464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.032683597,1 +117466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.03190565,1 +117467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.005149937,1 +117468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.979173259,1 +117469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.03222558,1 +117470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.703331369,1 +117471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.856062639,1 +117472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.934364971,1 +117473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.153790675,1 +117474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.343498855,1 +117476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.575694321,1 +117477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.971935105,1 +117478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.157931725,1 +117479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.810715504,1 +117481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.514225506,1 +117480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.744990925,1 +117475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.023737449,1 +117482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.785675399,1 +117483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.388105607,1 +117484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.064983444,1 +117485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.56281521,1 +117486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.079730932,1 +117487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.509112017,1 +117488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.628774715,1 +117489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.563996921,1 +117490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.225680591,1 +117491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.731314755,1 +117492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.425646003,1 +117493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.18805496,1 +117495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.921272232,1 +117494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.442999724,1 +117496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.018029614,1 +117499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.187049672,1 +117497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.934409766,1 +117498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.362802138,1 +117500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.244720767,1 +117501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.636480919,1 +117502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.564624957,1 +117503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.901972298,1 +117504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.15443048,1 +117505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.238920535,1 +117507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.2777335,1 +117506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.849530641,1 +117508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.419175137,1 +117510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.942866369,1 +117509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.396952963,1 +117512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.517593146,1 +117511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.108021697,1 +117513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.34048242,1 +117514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.770480964,1 +117515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.288775292,1 +117516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.088933584,1 +117518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.706876333,1 +117517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.351772384,1 +117519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.490476988,1 +117520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.799428842,1 +117521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.901181524,1 +117522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.473500847,1 +117523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.245747601,1 +117524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.985794302,1 +117526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.941949944,1 +117525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.750844808,1 +117527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.124914663,1 +117529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.101946068,1 +117530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.757180519,1 +117531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.333725571,1 +117528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.324702161,1 +117532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.209787536,1 +117533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.149153443,1 +117534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.203273322,1 +117536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.478322912,1 +117535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.219090815,1 +117537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.169959669,1 +117538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.546484893,1 +117539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.832656518,1 +117541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.0581432,1 +117542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.557177796,1 +117540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.23856824,1 +117543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.212468223,1 +117544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.935283359,1 +117545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.656849079,1 +117546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.897726884,1 +117547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.394461909,1 +117548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.037405182,1 +117549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.844038952,1 +117551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.86636345,1 +117552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.03527538,1 +117553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.834925055,1 +117554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.668264637,1 +117550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.040534923,1 +117555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.093323103,1 +117556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.475736848,1 +117558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.509439729,1 +117559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.692865325,1 +117557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.774056696,1 +117560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.266120588,1 +117561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.431575189,1 +117562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,7.331720293,1 +117563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.801699461,1 +117564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.604786941,1 +117566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.746759255,1 +117567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.598700209,1 +117565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.07936444,1 +117568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.366328215,1 +117570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.973358614,1 +117569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.126983733,1 +117573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.835493767,1 +117572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.317847738,1 +117571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.846199257,1 +117574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.502536056,1 +117575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.904373797,1 +117576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.189612883,1 +117578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.711139635,1 +117577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.32439063,1 +117579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.327863679,1 +117580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.384317278,1 +117581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.031995969,1 +117582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.039364383,1 +117584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.160053102,1 +117583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.237345529,1 +117585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.160455963,1 +117587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.759398768,1 +117586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.70088941,1 +117588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.827425975,1 +117589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.467892767,1 +117590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.834619613,1 +117592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.649629519,1 +117593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.206782763,1 +117591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.646137335,1 +117594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.460181448,1 +117595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.181842288,1 +117596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.668495672,1 +117598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.912482622,1 +117597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.248549,1 +117599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.782550243,1 +117600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.781176618,1 +117601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.498191101,1 +117602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.745625375,1 +117603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.423351409,1 +117604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.253271042,1 +117605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.520373397,1 +117606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.930454431,1 +117607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.934836977,1 +117608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.24892087,1 +117609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.351668015,1 +117611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.165836483,1 +117610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.855665841,1 +117612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.306246006,1 +117613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.051957871,1 +117614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.284554348,1 +117615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.523187381,1 +117616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.201627589,1 +117617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,7.968807368,1 +117618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.452267586,1 +117621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.105539829,1 +117620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.340303435,1 +117622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.983651459,1 +117623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.993860775,1 +117624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.230309226,1 +117619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.019750021,1 +117625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.047511838,1 +117626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.456830022,1 +117627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.060441534,1 +117629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.5944445,1 +117630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.226930092,1 +117631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.252417582,1 +117628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.706416964,1 +117633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.475041042,1 +117632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.487898113,1 +117635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,7.759723032,1 +117634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.020358026,1 +117636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.383060419,1 +117637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.080415596,1 +117639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.065210435,1 +117638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.639584774,1 +117640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.925469671,1 +117641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.25326055,1 +117642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.050705938,1 +117644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.926830747,1 +117645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.638318738,1 +117646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.464284499,1 +117643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.148642747,1 +117647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.715054998,1 +117648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.711110416,1 +117649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.794154193,1 +117650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.75281096,1 +117651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.94806577,1 +117652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.898383515,1 +117653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.452887074,1 +117655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,7.148720939,1 +117654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.824312928,1 +117656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.430228789,1 +117657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.545490965,1 +117658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.433211018,1 +117660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.79997379,1 +117661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.189124927,1 +117662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.668339096,1 +117663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.369165793,1 +117659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.313201093,1 +117664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.468302232,1 +117666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.679819104,1 +117665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.482242342,1 +117667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.098427088,1 +117668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.110008139,1 +117669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.61927107,1 +117670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.626689688,1 +117672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.957610161,1 +117671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.708026341,1 +117673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.402698541,1 +117674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.823955412,1 +117675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.538581971,1 +117676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,7.706696395,1 +117678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.060965696,1 +117677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.302895016,1 +117679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.099912138,1 +117681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.267964595,1 +117680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.073824359,1 +117682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.191116528,1 +117683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.500150712,1 +117685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.808950983,1 +117684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.661312483,1 +117686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.212751114,1 +117687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.747513706,1 +117688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.179340148,1 +117689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.563788094,1 +117690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.357719516,1 +117691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.597517225,1 +117692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.464519163,1 +117693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.831721356,1 +117695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.857368772,1 +117694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.911873948,1 +117696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.674390132,1 +117698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.598519132,1 +117699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.654252279,1 +117700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.463028573,1 +117697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,7.236791835,1 +117701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.561765892,1 +117702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.52311073,1 +117703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.505984164,1 +117705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.173456242,1 +117706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.186581643,1 +117704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.665357513,1 +117707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.785104624,1 +117709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.639084858,1 +117708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.617495446,1 +117711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.20661907,1 +117710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.564893152,1 +117713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.929617922,1 +117712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.171010019,1 +117714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.455436204,1 +117715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.53453209,1 +117717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.197191862,1 +117716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.918604649,1 +117718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.965785474,1 +117720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.054551693,1 +117721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.29751786,1 +117722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.469713086,1 +117724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.344915978,1 +117719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.57051403,1 +117723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.726603584,1 +117727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.272264912,1 +117725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.355370226,1 +117728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.556741543,1 +117726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.685940863,1 +117729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,7.126862365,1 +117730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.619011142,1 +117732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.391501371,1 +117731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.021283122,1 +117733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.346088266,1 +117734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.422794121,1 +117735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.243297148,1 +117736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.852908403,1 +117737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,8.562475491,1 +117739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.259251064,1 +117740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.380727605,1 +117741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.463198235,1 +117738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.77846236,1 +117742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.181775116,1 +117743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.766596441,1 +117744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.431217384,1 +117745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,7.470314095,1 +117747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.078492232,1 +117746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.043768271,1 +117748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.368500218,1 +117750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.706562174,1 +117749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.755630703,1 +117751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.492791082,1 +117752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,7.318336721,1 +117753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.415076399,1 +117755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.532426225,1 +117754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.928595439,1 +117756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.88763743,1 +117757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.862639708,1 +117758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.799646601,1 +117759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.093353501,1 +117761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.238144514,1 +117762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.424572243,1 +117760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.982485309,1 +117763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.293678211,1 +117764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.509180592,1 +117765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,7.260133214,1 +117768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.220447072,1 +117766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.410097933,1 +117767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.617520895,1 +117769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.229476371,1 +117773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.361503737,1 +117770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.850927817,1 +117771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.745095554,1 +117772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.889624715,1 +117774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.303257612,1 +117775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.805609962,1 +117776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.895315664,1 +117777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.391790188,1 +117779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.879074329,1 +117778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.0674399,1 +117781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.375701476,1 +117783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.973146495,1 +117782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.76978238,1 +117780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.043572826,1 +117784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,7.296954393,1 +117785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.735095059,1 +117786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.396560023,1 +117787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.437760449,1 +117789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.878620767,1 +117788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.706252221,1 +117790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.895373128,1 +117791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.455710021,1 +117792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.738826999,1 +117793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.783951068,1 +117794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.956150795,1 +117795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.367804536,1 +117796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.762654903,1 +117798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.45969311,1 +117797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.241757306,1 +117800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.956430757,1 +117799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.059619414,1 +117801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.229368549,1 +117803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.80881087,1 +117804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.589242561,1 +117802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.768814214,1 +117805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.317494992,1 +117806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.646932209,1 +117807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.84120099,1 +117809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.036730644,1 +117811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.493946793,1 +117810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.147062904,1 +117812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.032636316,1 +117814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.848128701,1 +117808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.366287005,1 +117813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.042779613,1 +117817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.662783354,1 +117818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.682044441,1 +117815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.499791668,1 +117816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.492074942,1 +117819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.93424524,1 +117820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.800263038,1 +117822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.329789909,1 +117821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.509679199,1 +117824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.926313134,1 +117825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.822740905,1 +117826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.752773401,1 +117823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.858006529,1 +117828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.451178954,1 +117829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.937435517,1 +117827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.861141948,1 +117830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.410951982,1 +117833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.609728343,1 +117832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.133538333,1 +117834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.786163766,1 +117831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.415248564,1 +117835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.654460716,1 +117836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.389661786,1 +117838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.125101505,1 +117839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.235095495,1 +117840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.116744693,1 +117841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.880051742,1 +117837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.674937071,1 +117842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.596116305,1 +117843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.83428574,1 +117844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.409387016,1 +117845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,8.624849852,1 +117847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.339617133,1 +117846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.226827321,1 +117848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.358525425,1 +117849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.088586625,1 +117850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.633323488,1 +117851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.452160461,1 +117852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.183538336,1 +117853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.000863764,1 +117854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.497176398,1 +117855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.789717063,1 +117856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.522364513,1 +117859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.329174135,1 +117858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.467196708,1 +117860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.645241904,1 +117857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.424705409,1 +117862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.402440012,1 +117864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.921826278,1 +117861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.953171829,1 +117866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.420050719,1 +117863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.948661859,1 +117865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.207146489,1 +117867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.133350369,1 +117869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.780181972,1 +117870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.379601918,1 +117868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.320646572,1 +117872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.449758545,1 +117871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.417826132,1 +117873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.707853571,1 +117874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.549410657,1 +117875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.348715479,1 +117876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.528427642,1 +117877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.002826129,1 +117879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.913751183,1 +117878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.109499175,1 +117880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.132406262,1 +117881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.229020078,1 +117882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.73650946,1 +117883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,7.974928378,1 +117884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.364543664,1 +117885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.89485438,1 +117886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.424553121,1 +117887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.213894912,1 +117888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.030357306,1 +117890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.2669442,1 +117889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.546678174,1 +117891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.075555419,1 +117892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.649928486,1 +117893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.580504851,1 +117894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,7.760635073,1 +117895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.741582334,1 +117896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.98342385,1 +117897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.559219182,1 +117898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.591994223,1 +117899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.855632243,1 +117900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.904073769,1 +117901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.077122818,1 +117902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.891658298,1 +117903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.928148484,1 +117904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.247525885,1 +117905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,1.726467867,1 +117907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.719251951,1 +117908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.039479257,1 +117906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.686718779,1 +117909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.082901231,1 +117911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.897961813,1 +117910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.72698099,1 +117913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.913073894,1 +117914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.303396617,1 +117915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.805561556,1 +117912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.829424877,1 +117916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.743643602,1 +117917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.975687821,1 +117918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.842734479,1 +117920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.945918405,1 +117921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.963426723,1 +117922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,8.466032474,1 +117919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.560526087,1 +117923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.506366555,1 +117925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.27108777,1 +117926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.927866764,1 +117927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.237551698,1 +117924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.649561871,1 +117928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,9.871132336,1 +117930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.229918499,1 +117929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.822677615,1 +117931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.915491459,1 +117932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.542742319,1 +117933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.051342701,1 +117935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.245398974,1 +117937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.74678272,1 +117936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.990824056,1 +117934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.907239491,1 +117938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.584631314,1 +117942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.587662493,1 +117939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.912716033,1 +117940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.448641979,1 +117941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.965476463,1 +117944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.791246153,1 +117945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.371577353,1 +117943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.821101255,1 +117946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.32178432,1 +117947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.107244292,1 +117948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.131131662,1 +117949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.991569325,1 +117950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.976702116,1 +117951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.05994953,1 +117954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.520802849,1 +117952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.157238206,1 +117953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.045306906,1 +117955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.831096087,1 +117956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.117114389,1 +117957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.221035717,1 +117958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,2.701535524,1 +117959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.103341671,1 +117961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.857851489,1 +117960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.873615503,1 +117962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,7.376873953,1 +117964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.779543211,1 +117963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.528548087,1 +117965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.788253789,1 +117967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.583754901,1 +117966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.119159791,1 +117969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.849419086,1 +117968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.301873673,1 +117970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.902382079,1 +117972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.300944603,1 +117973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.015205695,1 +117971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,1.684763886,1 +117974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.420774013,1 +117975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.555951714,1 +117976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.105832494,1 +117977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.75903469,1 +117978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.473832536,1 +117979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.949348216,1 +117980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.626932529,1 +117981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.240564338,1 +117982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.510976816,1 +117983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.66694225,1 +117984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.240739347,1 +117985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.689941813,1 +117986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.590613042,1 +117987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.814522954,1 +117988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.412862553,1 +117991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.053017615,1 +117989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.538386951,1 +117990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.057601231,1 +117992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.10665846,1 +117993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.863033515,1 +117994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.064938555,1 +117995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.038795491,1 +117996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.79902217,1 +117997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,4.83055705,1 +117999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,6.356321628,1 +118000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,3.582472265,1 +117998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,8,1,5.378749398,1 +127001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,8.231435509,1 +127002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.528937435,1 +127005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.268336057,1 +127003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.433653189,1 +127004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.294177586,1 +127006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.908028749,1 +127009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.622984994,1 +127007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.345060713,1 +127008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.36846225,1 +127010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.634330459,1 +127011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.982027663,1 +127013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.537184338,1 +127012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.122666161,1 +127014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.763527641,1 +127015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.04887775,1 +127016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.758433602,1 +127017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.805571072,1 +127018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.291376291,1 +127019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.49593349,1 +127020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.51788013,1 +127021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.207128805,1 +127022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.205909717,1 +127023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.999151477,1 +127025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.928200573,1 +127024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.509088232,1 +127026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.353245307,1 +127029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.432566783,1 +127028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.12944805,1 +127027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.546164438,1 +127031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.126844931,1 +127032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.001139157,1 +127030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.862183098,1 +127033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.507601925,1 +127034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.267551898,1 +127035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.03354931,1 +127037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.516745655,1 +127036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.273022291,1 +127038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.8100993,1 +127039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.988970245,1 +127040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.337726835,1 +127041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.879569897,1 +127042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.448612925,1 +127043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.213167293,1 +127044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.627133469,1 +127046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.267207215,1 +127047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.037118289,1 +127045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.887445989,1 +127049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.544795384,1 +127048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.434962268,1 +127050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.566218487,1 +127052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.922651077,1 +127053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.487527618,1 +127054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.948538026,1 +127051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.599606465,1 +127055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.891837772,1 +127058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.027765482,1 +127057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.032991658,1 +127056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.936249896,1 +127059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.051927736,1 +127060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.011521377,1 +127061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.048458692,1 +127062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.580736983,1 +127063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.098505664,1 +127065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.887001997,1 +127066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.988162326,1 +127067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.533263032,1 +127068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.314073188,1 +127064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.248617747,1 +127069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.692338144,1 +127072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.72588629,1 +127070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.573438005,1 +127071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.635272865,1 +127074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.571339676,1 +127073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.82488429,1 +127075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.649504653,1 +127076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.546593295,1 +127077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.700178047,1 +127078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.937917679,1 +127079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.167445947,1 +127080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.56902732,1 +127082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.39816259,1 +127083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.865865994,1 +127084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,7.714193233,1 +127081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.853229931,1 +127085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.045815336,1 +127088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.787738832,1 +127086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.529797702,1 +127087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.942362972,1 +127089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.484932103,1 +127090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.231462594,1 +127091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.208419729,1 +127092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.41826503,1 +127093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,7.559467321,1 +127094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.016172338,1 +127095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.374591522,1 +127096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.825749587,1 +127097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.08685037,1 +127099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.928855077,1 +127100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.120225472,1 +127101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.837954447,1 +127098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.463836686,1 +127103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.461376884,1 +127102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.814581661,1 +127105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.724093248,1 +127107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.42971793,1 +127106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.776246344,1 +127104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.329345381,1 +127108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.235976732,1 +127110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.444930454,1 +127109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.929322914,1 +127112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.470820807,1 +127113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.162544213,1 +127114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.872219651,1 +127111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.374276406,1 +127116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.670638649,1 +127115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.073552812,1 +127118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.78852121,1 +127117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.11229357,1 +127119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.874972701,1 +127120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.969962722,1 +127121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.738176172,1 +127122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.199313961,1 +127123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.345925764,1 +127124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.131091485,1 +127125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.289211686,1 +127126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.171763877,1 +127127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.40172846,1 +127129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.758909,1 +127130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.193882971,1 +127131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.442898974,1 +127128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.799167141,1 +127132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.716853374,1 +127135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.105954114,1 +127134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.466880192,1 +127133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.836686152,1 +127136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.134382394,1 +127137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.495100901,1 +127139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,7.272307754,1 +127138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.069400434,1 +127140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.348644606,1 +127142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.266361306,1 +127144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.325043529,1 +127143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.36383833,1 +127141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.902494986,1 +127145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.315033298,1 +127146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.090508489,1 +127147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.181962041,1 +127149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.110599828,1 +127148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.39111734,1 +127150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.5303657,1 +127151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.339759121,1 +127152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.409069718,1 +127153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.816588527,1 +127154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.118661967,1 +127155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.642696722,1 +127156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.647732004,1 +127157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.320932662,1 +127159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.094294463,1 +127158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.661669263,1 +127161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.775175045,1 +127162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.334214191,1 +127163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.809762412,1 +127160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.592572186,1 +127164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.253421415,1 +127167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.25400467,1 +127166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.807120945,1 +127165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.179490584,1 +127168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.167055318,1 +127170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.593031187,1 +127169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.539855905,1 +127171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.258491498,1 +127172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.535200564,1 +127173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.523401501,1 +127174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.165744007,1 +127175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.055577108,1 +127176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.735004888,1 +127177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.668854237,1 +127179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.161507811,1 +127180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.303770209,1 +127181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.324035412,1 +127178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.583310744,1 +127182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.649476822,1 +127183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.687835154,1 +127184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.837572637,1 +127185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.302098335,1 +127186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.297841688,1 +127187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.114834017,1 +127188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.309521862,1 +127190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.963300172,1 +127189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.616927073,1 +127191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.362761895,1 +127192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.332751391,1 +127194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.43000209,1 +127193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.040193903,1 +127195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.501543191,1 +127196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.55415718,1 +127198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.768836753,1 +127199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.77692693,1 +127200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.428418301,1 +127197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.718922245,1 +127201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.808772845,1 +127202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.635120631,1 +127203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.702444562,1 +127205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.666295587,1 +127206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.143453598,1 +127207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.109277971,1 +127204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.99886019,1 +127211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.55143186,1 +127208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.705293819,1 +127209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.153843916,1 +127210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.336483864,1 +127212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.498021984,1 +127215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.844273322,1 +127213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.562906341,1 +127214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.570621526,1 +127218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.386952946,1 +127219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.613149297,1 +127217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.420007213,1 +127222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.976341843,1 +127220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.817966422,1 +127221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.549937017,1 +127216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.94643396,1 +127225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.711917516,1 +127223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.644385376,1 +127224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.456606443,1 +127226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.409945721,1 +127227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.748681926,1 +127229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.137538057,1 +127228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.96076291,1 +127230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.493486442,1 +127231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.786675691,1 +127232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.077371109,1 +127233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.921001318,1 +127234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.220578603,1 +127235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.771104011,1 +127236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.690736963,1 +127237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.716996616,1 +127238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.718269101,1 +127239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.92924102,1 +127241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.429614073,1 +127240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.247188987,1 +127243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,7.951010873,1 +127242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.212519971,1 +127244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.277174477,1 +127245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.155921984,1 +127246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.866423018,1 +127248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.797115121,1 +127247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.764102261,1 +127249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.561928478,1 +127251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.025084897,1 +127250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.98835308,1 +127252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.712274433,1 +127253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.793213309,1 +127255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.300423228,1 +127254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.981438847,1 +127257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.396094025,1 +127258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.230906256,1 +127256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.87830966,1 +127259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.734050661,1 +127261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.609919967,1 +127260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.758094532,1 +127262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.414333918,1 +127263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.026999265,1 +127264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.873121345,1 +127265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.126297913,1 +127266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.627334169,1 +127267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.633559505,1 +127268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.622703057,1 +127269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.240707499,1 +127270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,7.246173452,1 +127271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,1.859422434,1 +127272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.01790755,1 +127273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.427072366,1 +127274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.238277529,1 +127276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.982603903,1 +127275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.073443663,1 +127277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.788968357,1 +127280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.231541993,1 +127278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.480493689,1 +127281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.89281908,1 +127279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.892608287,1 +127282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.164778091,1 +127283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.302566207,1 +127284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.565295967,1 +127285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.367286679,1 +127288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.935711506,1 +127287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.546057311,1 +127289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.462901004,1 +127286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.841207946,1 +127290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.676155106,1 +127292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.659101571,1 +127291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.25625775,1 +127293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.16389429,1 +127294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.859701489,1 +127295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.119417493,1 +127297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.663146184,1 +127296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.725558939,1 +127298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.268913069,1 +127299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.453859124,1 +127300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.041417661,1 +127301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.515299709,1 +127302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.737980093,1 +127305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.483682472,1 +127303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.984717704,1 +127304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.35148589,1 +127306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.87746049,1 +127308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.057979922,1 +127307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.797989006,1 +127309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.347670631,1 +127310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.038815754,1 +127311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.177162836,1 +127313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.064089174,1 +127314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.261039615,1 +127315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.754265386,1 +127316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,7.055004077,1 +127312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.014775942,1 +127317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.949271784,1 +127320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.843612386,1 +127319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.408136903,1 +127318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.086778156,1 +127321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.865419903,1 +127322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.817279196,1 +127324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.612743627,1 +127325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.543884511,1 +127326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.274524827,1 +127327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.552213246,1 +127328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.469903098,1 +127329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.111779107,1 +127330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.811400901,1 +127323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.235598315,1 +127334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.80188446,1 +127331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.748220583,1 +127333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.885984767,1 +127332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.728091147,1 +127335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.6158223,1 +127336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.355340923,1 +127337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.419872119,1 +127338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.615001223,1 +127340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.374162236,1 +127341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.875184782,1 +127342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.618082665,1 +127343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.516514616,1 +127344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.067630928,1 +127345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.235758305,1 +127339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.177412215,1 +127347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.411162593,1 +127349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.275146867,1 +127346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.571289909,1 +127348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.13380585,1 +127350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.797590909,1 +127351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.671028181,1 +127353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.669971652,1 +127352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.280339968,1 +127354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.666993259,1 +127357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.074639033,1 +127355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.675825014,1 +127356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.099176618,1 +127358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.235603325,1 +127359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.488160988,1 +127361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.815738723,1 +127362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.412427637,1 +127360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.345742475,1 +127363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.078772108,1 +127364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.256859567,1 +127366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.874774179,1 +127365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.389164272,1 +127368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.418060674,1 +127367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.16747062,1 +127369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.004575389,1 +127370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.214991167,1 +127371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.562076835,1 +127372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.870784812,1 +127373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.768157614,1 +127374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.89975349,1 +127375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.605697959,1 +127376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.05601853,1 +127378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.654045724,1 +127379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.391274763,1 +127380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.006868701,1 +127377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.703015051,1 +127381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.449783202,1 +127382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.387418798,1 +127383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.003053404,1 +127384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.046253576,1 +127385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.802017034,1 +127386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.431286675,1 +127387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.071603259,1 +127389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.866818533,1 +127388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.058515723,1 +127390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.838091345,1 +127391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.194644273,1 +127392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.072146966,1 +127393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.615928125,1 +127395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.865790162,1 +127394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.613947207,1 +127396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.687401199,1 +127398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.753487263,1 +127399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.12971877,1 +127400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.356567068,1 +127397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.588963885,1 +127401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.34666683,1 +127402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.10771369,1 +127403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.384296355,1 +127404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.594644205,1 +127405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.882813369,1 +127407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.748689657,1 +127406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.344441759,1 +127408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.447539822,1 +127409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.514876133,1 +127410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.312026388,1 +127413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.425362609,1 +127414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.615222244,1 +127411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.046694405,1 +127415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.196899671,1 +127416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.553802481,1 +127412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.203328138,1 +127417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.404498322,1 +127418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.276679003,1 +127419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.883447086,1 +127420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.122985968,1 +127421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.269868032,1 +127424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.866188786,1 +127422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.241854022,1 +127423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.84455246,1 +127425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.866948396,1 +127426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.414682951,1 +127428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,1.671820842,1 +127427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.282705763,1 +127431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.816381473,1 +127429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.868679173,1 +127432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.413989238,1 +127430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.722580812,1 +127433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.436581147,1 +127435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.133399253,1 +127434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.081646608,1 +127436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.703316081,1 +127439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.48154239,1 +127438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.718253423,1 +127437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.447455883,1 +127441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.403645201,1 +127440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.007305388,1 +127442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.324936726,1 +127443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.440183208,1 +127446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.095181244,1 +127447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.540766224,1 +127444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,1.928005692,1 +127445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.654804674,1 +127448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.090012925,1 +127449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.577438811,1 +127450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.805713242,1 +127454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.137650721,1 +127451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.570441975,1 +127452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.720475712,1 +127453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.794774863,1 +127455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.829222884,1 +127458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.060324497,1 +127457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.796800238,1 +127459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.36194537,1 +127456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.054631783,1 +127460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.219318891,1 +127461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.40359945,1 +127463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.087554887,1 +127464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.23440221,1 +127465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.767087129,1 +127462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.468296476,1 +127466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.873494677,1 +127469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.738588298,1 +127467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.244786917,1 +127468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.860088428,1 +127471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.654126923,1 +127472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.046317504,1 +127470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.46125749,1 +127473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.228924821,1 +127474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.245947915,1 +127475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.499246349,1 +127477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.424048014,1 +127476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.048436981,1 +127479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.157858835,1 +127480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.867796478,1 +127481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.877993563,1 +127482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.297321999,1 +127478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.496009778,1 +127483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.427363925,1 +127485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.045034342,1 +127486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.966404698,1 +127487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.551432062,1 +127488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.649177214,1 +127484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.635533515,1 +127489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.034423453,1 +127491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.75091793,1 +127490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.493936435,1 +127493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.191969742,1 +127492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.805922164,1 +127494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.051297655,1 +127495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.830707171,1 +127497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.711126808,1 +127499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.531965569,1 +127496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.507045459,1 +127500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.204895442,1 +127498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.084929901,1 +127502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.245053606,1 +127504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.697104306,1 +127503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.667748938,1 +127501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.215175522,1 +127505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.876556782,1 +127506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.082600405,1 +127508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.808659847,1 +127507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.765982508,1 +127509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.852989702,1 +127511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.98433244,1 +127510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.363293939,1 +127512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.489774227,1 +127515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,1.938537319,1 +127513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,7.355534818,1 +127516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.78329436,1 +127514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.414195288,1 +127517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.822732145,1 +127518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.291554435,1 +127520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.10866031,1 +127523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.789153533,1 +127521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.509620059,1 +127522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.661277222,1 +127526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.121014058,1 +127524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.652582007,1 +127525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.729493415,1 +127527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.799941302,1 +127529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.979877137,1 +127519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.137293763,1 +127528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.078954971,1 +127531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.597611852,1 +127530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.465808334,1 +127532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.148304317,1 +127533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.910616487,1 +127534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.753282578,1 +127535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.072515982,1 +127536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.264408065,1 +127537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.65979942,1 +127538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.628815272,1 +127539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.195418601,1 +127540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.865221118,1 +127541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.347266521,1 +127543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.927360038,1 +127545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.395216888,1 +127544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.590396875,1 +127542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.264421668,1 +127546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.683356698,1 +127549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.051327563,1 +127547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.73836716,1 +127548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.844274725,1 +127551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.940403105,1 +127550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.629746083,1 +127552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.178979904,1 +127553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.76273318,1 +127555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.470169029,1 +127554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.200428505,1 +127556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.027115704,1 +127557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.740667041,1 +127558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.371679919,1 +127559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.682524378,1 +127560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.245615567,1 +127561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.051184865,1 +127562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.396881971,1 +127563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.569656525,1 +127564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.724420157,1 +127565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.549217623,1 +127567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.631633812,1 +127566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.345978992,1 +127568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.843566387,1 +127569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.896377591,1 +127570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,1.830412575,1 +127571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.523082597,1 +127573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.611806488,1 +127574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.231111689,1 +127575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.042250935,1 +127572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.861400267,1 +127577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.897009447,1 +127576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.777654457,1 +127578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.522754477,1 +127579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.979715194,1 +127580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.449691682,1 +127581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.704980492,1 +127582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.130682882,1 +127583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.29757384,1 +127584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.531540382,1 +127585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.682649309,1 +127586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.646093495,1 +127587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.599088471,1 +127588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.10129054,1 +127590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.916116052,1 +127589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.2648292,1 +127592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,7.350428196,1 +127591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.973540815,1 +127593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.592020087,1 +127594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.618651138,1 +127595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.849109792,1 +127597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.793471725,1 +127598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.491758435,1 +127596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.816048543,1 +127599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.903397644,1 +127601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.458080967,1 +127600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.829766542,1 +127603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.54315855,1 +127602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.646406136,1 +127604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.825227711,1 +127605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.405865666,1 +127607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.191691081,1 +127608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.67687371,1 +127609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.511405775,1 +127606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.574398924,1 +127611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.894618915,1 +127612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.818237274,1 +127613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.57774337,1 +127614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.092604527,1 +127616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.366310537,1 +127615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.93848744,1 +127610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.874551569,1 +127617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.606209471,1 +127619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.456707826,1 +127618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.440829283,1 +127620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.503331989,1 +127621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.79760625,1 +127622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.712282387,1 +127623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.320895539,1 +127624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.363090472,1 +127625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.115156435,1 +127626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.169975136,1 +127627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.390753171,1 +127628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.179960937,1 +127629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.119723799,1 +127630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.143131182,1 +127631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.372164217,1 +127633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.252182568,1 +127634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.199078356,1 +127635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.542302342,1 +127632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.1863906,1 +127636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.558719449,1 +127637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.469750532,1 +127638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.843057961,1 +127639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.087746473,1 +127640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.417572871,1 +127642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.765411538,1 +127641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.448244444,1 +127643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.45656292,1 +127644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.942466413,1 +127646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.329457786,1 +127645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.148752322,1 +127647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.233185079,1 +127648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.385944445,1 +127650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.437179406,1 +127649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.584311846,1 +127652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.499384488,1 +127653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.632197221,1 +127654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.913671928,1 +127651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.683521084,1 +127655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.412664547,1 +127657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.706530455,1 +127656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.560521247,1 +127658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.570199672,1 +127659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.45701892,1 +127660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,1.538252398,1 +127661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.488147411,1 +127662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.872664876,1 +127663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.386456015,1 +127664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.64388739,1 +127665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.287180549,1 +127666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.660853545,1 +127667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.687256401,1 +127668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.951260538,1 +127669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.684792541,1 +127670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.406507838,1 +127672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.887692411,1 +127673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.761168691,1 +127671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.132570515,1 +127674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.677140895,1 +127675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.656325051,1 +127677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.134497008,1 +127678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.711822231,1 +127679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.973583655,1 +127676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.739940636,1 +127680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.286056099,1 +127682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.952414445,1 +127681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.257125321,1 +127683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.879123031,1 +127686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.248835406,1 +127684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.232019367,1 +127687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.234870759,1 +127685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.930882208,1 +127688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.080903916,1 +127691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.128455257,1 +127689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.467932295,1 +127692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.550703734,1 +127693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.561110414,1 +127690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.2594035,1 +127695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.293819114,1 +127694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.03216996,1 +127696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,1.527846627,1 +127697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.394905595,1 +127699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.613583628,1 +127698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.048334489,1 +127701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.138680479,1 +127700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.28891083,1 +127702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.680469952,1 +127703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.586669627,1 +127704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.504879343,1 +127705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.17896218,1 +127707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.59508981,1 +127706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.584260684,1 +127709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.858219574,1 +127710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.164856007,1 +127711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.074537158,1 +127712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.7682024,1 +127708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.327948651,1 +127714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.822378452,1 +127713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.979783899,1 +127716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.338037248,1 +127715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.121980328,1 +127719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.667559927,1 +127717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.369434313,1 +127718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.19950274,1 +127720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.714515622,1 +127722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.134926056,1 +127723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.221105202,1 +127721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.274235956,1 +127724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.985940871,1 +127726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.198547842,1 +127727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.730050366,1 +127728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.073434318,1 +127725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.5662404,1 +127729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.571110915,1 +127731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.977590873,1 +127732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.319364028,1 +127733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.442802039,1 +127734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.772121644,1 +127730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.430787474,1 +127735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.236513051,1 +127736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.025537204,1 +127737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.72665241,1 +127739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.410865392,1 +127738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.194673385,1 +127740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.766272204,1 +127741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.618657357,1 +127743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.660309707,1 +127744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.23396773,1 +127742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.1853338,1 +127746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.847656847,1 +127745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.309638628,1 +127748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.84918398,1 +127747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.566327686,1 +127750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.552998708,1 +127751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,1.012930223,1 +127752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.447929729,1 +127753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.522126548,1 +127754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.006791665,1 +127755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.161196147,1 +127756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.220406402,1 +127749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.600362047,1 +127757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.36540292,1 +127758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.621825739,1 +127759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.946350978,1 +127760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.917326514,1 +127761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.497294662,1 +127763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.434608383,1 +127762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.816001365,1 +127764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.650767428,1 +127765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.739169583,1 +127766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.376842168,1 +127767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.226266082,1 +127769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.351321963,1 +127768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.984991474,1 +127770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.707754209,1 +127771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.03084483,1 +127772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.122182378,1 +127775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.729270966,1 +127774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.160951623,1 +127773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.249855406,1 +127776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.288799496,1 +127777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.045623135,1 +127778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.060319278,1 +127779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.527431551,1 +127780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.453955225,1 +127781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.799525376,1 +127782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.921967122,1 +127784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.448645078,1 +127785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.851393286,1 +127783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.574370308,1 +127786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.610584253,1 +127787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.7665197,1 +127788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.252554348,1 +127790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.815058193,1 +127789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.847563985,1 +127792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.927457793,1 +127791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.984361884,1 +127793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,1.825141419,1 +127794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.441107423,1 +127795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.868103181,1 +127796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.524188559,1 +127797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.175572382,1 +127798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.552889535,1 +127799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.198065899,1 +127800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.498567405,1 +127801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.157470985,1 +127803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.468057595,1 +127802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.771825824,1 +127804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.538908817,1 +127805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.170021795,1 +127807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.950972335,1 +127806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.919990816,1 +127809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.730183137,1 +127808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.56020667,1 +127810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.509080284,1 +127812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.918528975,1 +127813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.511195907,1 +127814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.602101151,1 +127811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.182273075,1 +127815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.010043668,1 +127816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.260524785,1 +127817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.294272971,1 +127819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.260551938,1 +127820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.189584935,1 +127818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.499904987,1 +127821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.380396615,1 +127824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.591481885,1 +127823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.847980491,1 +127822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.907856775,1 +127825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.351144209,1 +127827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.103764897,1 +127828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.130513938,1 +127829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.831886642,1 +127826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.250964334,1 +127830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.65762792,1 +127831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.141494286,1 +127832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.956866337,1 +127834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.91142667,1 +127835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.584055074,1 +127836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.521489731,1 +127833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.662801298,1 +127837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.885797945,1 +127839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.998180918,1 +127838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.72354307,1 +127840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.114570439,1 +127841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.094447107,1 +127842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.13430451,1 +127844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.081797109,1 +127843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.348781351,1 +127845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.690225424,1 +127846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.693173221,1 +127848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.856479293,1 +127849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.454125306,1 +127850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.125646622,1 +127851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.55551008,1 +127847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.910872828,1 +127852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.930679034,1 +127853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.010014328,1 +127854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.477337411,1 +127855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.549733252,1 +127857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.86208877,1 +127856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.95082277,1 +127858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.511033923,1 +127859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.731059231,1 +127860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.97746652,1 +127861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.19667677,1 +127862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.367512109,1 +127864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.16916797,1 +127865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.765674109,1 +127866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.133346032,1 +127863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.933218547,1 +127868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.078119169,1 +127867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.061187742,1 +127869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.670839241,1 +127870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.918277387,1 +127872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.782961208,1 +127871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.995384549,1 +127873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.25347084,1 +127874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.139552996,1 +127875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.201254364,1 +127876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.648762118,1 +127877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.54823761,1 +127878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.873737901,1 +127880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.528844533,1 +127879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.124888476,1 +127881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.134901644,1 +127883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.791540485,1 +127882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.246585917,1 +127884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.170526043,1 +127885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.52781607,1 +127886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.049669218,1 +127887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.056039882,1 +127888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.494302679,1 +127889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.56984707,1 +127890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.322034784,1 +127892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.744556016,1 +127891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.292607899,1 +127893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.846667848,1 +127894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.146870842,1 +127896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.32189389,1 +127897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.458224365,1 +127895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.079017841,1 +127899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.224733648,1 +127898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.109233975,1 +127900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.793410701,1 +127901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.865222901,1 +127902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.938562792,1 +127903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.184476096,1 +127904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.568101834,1 +127905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.759774449,1 +127906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.689436805,1 +127907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.784546833,1 +127908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.551243088,1 +127909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.941709645,1 +127911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.375344509,1 +127910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.126739455,1 +127912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.197810603,1 +127913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.629912693,1 +127915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.067613125,1 +127914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.763609129,1 +127916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.279741698,1 +127917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.263636358,1 +127918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,7.732955937,1 +127919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.513623743,1 +127920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,7.076288809,1 +127923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.005930021,1 +127922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.620559683,1 +127924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.755463382,1 +127921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.932604832,1 +127926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.170656036,1 +127925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.944628255,1 +127927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.656463218,1 +127928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.650763549,1 +127929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.623816763,1 +127930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.729919585,1 +127931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.749887543,1 +127933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.040801405,1 +127934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.040623534,1 +127935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.801538276,1 +127932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.092587694,1 +127937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.963674068,1 +127936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.99781506,1 +127938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.108352242,1 +127940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.510229378,1 +127941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.829462124,1 +127942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.59552083,1 +127939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.925460695,1 +127943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.576812643,1 +127946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.862014083,1 +127944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.949227298,1 +127945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.58767782,1 +127948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.304887692,1 +127947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.822986542,1 +127949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.46681092,1 +127950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.100316385,1 +127951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.706857264,1 +127953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.402916432,1 +127954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.459158437,1 +127955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.314470562,1 +127956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.83861848,1 +127952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.706343061,1 +127957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.26522112,1 +127958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.183042649,1 +127959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.033290568,1 +127960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.830764946,1 +127961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.174338782,1 +127962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.843943677,1 +127963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.14501273,1 +127964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.165995941,1 +127966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.712028075,1 +127965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.803616681,1 +127967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.715369579,1 +127968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.89431222,1 +127969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.455899447,1 +127971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.829946582,1 +127970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.611858581,1 +127975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.163743681,1 +127972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,7.98206032,1 +127974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.669786161,1 +127973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.081153321,1 +127976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.495343348,1 +127978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.520857494,1 +127979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.718489577,1 +127977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.432210611,1 +127980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.432944393,1 +127981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.380267564,1 +127982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.488469954,1 +127983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.013560532,1 +127984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.838931413,1 +127985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.641759827,1 +127986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.362014871,1 +127987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.4040239,1 +127988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.451519623,1 +127990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.581431701,1 +127989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.186757955,1 +127992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.335778647,1 +127991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.621893662,1 +127993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.889199102,1 +127994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,3.55659154,1 +127995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.824340932,1 +127996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,6.737391266,1 +127998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.384245631,1 +127997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,5.855759312,1 +127999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,2.979332919,1 +128000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,8,1,4.935754323,1 +137001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.922691784,1 +137002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.409295266,1 +137003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.955534233,1 +137005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.988400581,1 +137004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.3656485,1 +137006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.288567884,1 +137007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.829940147,1 +137009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.97624623,1 +137008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.272196844,1 +137011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.826997563,1 +137013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.526795622,1 +137012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.421297071,1 +137010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.660833017,1 +137014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.674870867,1 +137015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,7.508704984,1 +137017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.012692581,1 +137016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.206450261,1 +137018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.543581395,1 +137019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.290302538,1 +137021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.16668164,1 +137020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.645080874,1 +137022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.415653582,1 +137023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,1.110182923,1 +137024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.697782105,1 +137025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.060617833,1 +137026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.346326999,1 +137027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.721380312,1 +137028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.112691225,1 +137030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.732836609,1 +137029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.668144827,1 +137031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.328046014,1 +137032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.300492557,1 +137033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,7.016192554,1 +137035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.974989555,1 +137036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.498696717,1 +137034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.823907362,1 +137037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.715544309,1 +137040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.641551189,1 +137038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.258631127,1 +137039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.203680863,1 +137042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.948856253,1 +137041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.450100071,1 +137043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.092463792,1 +137044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.926634137,1 +137046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.196427625,1 +137045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.095905536,1 +137047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.867580264,1 +137051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.568916816,1 +137048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.564063998,1 +137050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.450063328,1 +137049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,1.90809699,1 +137052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.450106714,1 +137054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.926790841,1 +137053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.839255447,1 +137055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.512948148,1 +137056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.938942929,1 +137057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.569527808,1 +137059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.204155682,1 +137058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.727656386,1 +137061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.731575678,1 +137060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.940041415,1 +137062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.550506586,1 +137064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.038882496,1 +137065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.008011875,1 +137066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.31395131,1 +137063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.215985429,1 +137067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.134450608,1 +137068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.845651481,1 +137069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.109513775,1 +137072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.469557127,1 +137071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.610718897,1 +137073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.118633298,1 +137070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.323306287,1 +137074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.454404041,1 +137076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.790169689,1 +137075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.679584732,1 +137077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.170747477,1 +137078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.510958015,1 +137079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.183380576,1 +137080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.279070603,1 +137082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.59446377,1 +137083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.35971056,1 +137084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.425040147,1 +137081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.495270995,1 +137085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.778713919,1 +137086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.407845106,1 +137087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.686360379,1 +137088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.286368379,1 +137089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.896808099,1 +137091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.877977573,1 +137090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.374543269,1 +137092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.946182856,1 +137093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.045380307,1 +137095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.553217618,1 +137094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.984696709,1 +137097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.175746523,1 +137096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.361634457,1 +137098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.470742202,1 +137099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.42017076,1 +137102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.114802092,1 +137100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.569182861,1 +137103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.314232557,1 +137106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,1.982655351,1 +137105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.384882568,1 +137104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.670682761,1 +137101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,1.773346948,1 +137107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.904046745,1 +137109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.067234368,1 +137108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.820549283,1 +137110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.046792795,1 +137112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.645350371,1 +137111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.261159161,1 +137113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.551800598,1 +137114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.621955096,1 +137116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.773064221,1 +137115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.956419915,1 +137117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.844053834,1 +137119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.733191054,1 +137120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.859551092,1 +137121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.390259189,1 +137118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.579745058,1 +137124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.2445115,1 +137122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.02359385,1 +137123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.397686402,1 +137125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.601801845,1 +137126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.484368773,1 +137127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.613121623,1 +137128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.333165382,1 +137129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.716647483,1 +137131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.663217223,1 +137130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.268205611,1 +137132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.816046042,1 +137133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.158511299,1 +137134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.177438192,1 +137135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.432875763,1 +137136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.918027335,1 +137138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.115824311,1 +137137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.443151917,1 +137139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.329174913,1 +137140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,1.867247155,1 +137141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.036266608,1 +137142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.810032622,1 +137143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.16044093,1 +137144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.318718146,1 +137145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.249328897,1 +137147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.122836328,1 +137148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,1.716220521,1 +137146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.294743147,1 +137149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.888601679,1 +137150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.138457467,1 +137151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.502576037,1 +137152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.155648373,1 +137153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.814403752,1 +137154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.388717123,1 +137157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.863479524,1 +137156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.363924837,1 +137158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.777987414,1 +137155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.332319679,1 +137159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.555650023,1 +137160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.731477395,1 +137161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.546412378,1 +137163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.810888391,1 +137164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.584110683,1 +137165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.934442077,1 +137162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.220155393,1 +137166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.154230568,1 +137169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.95612133,1 +137168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.793359702,1 +137167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.055067491,1 +137170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.883090875,1 +137172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.765949342,1 +137171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.666221613,1 +137173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.232721268,1 +137174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.775437969,1 +137175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.408138652,1 +137178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.449616893,1 +137177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.60223435,1 +137179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.147300539,1 +137180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.463868909,1 +137176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.458025997,1 +137181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.763762344,1 +137184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.911583223,1 +137182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.667291305,1 +137185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.163543824,1 +137183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.873975349,1 +137186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.605229325,1 +137187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,8.711052529,1 +137189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.651688818,1 +137190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.699851483,1 +137188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,1.864654842,1 +137191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.626094664,1 +137192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.962541378,1 +137195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.704214174,1 +137194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.788463274,1 +137196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.332711731,1 +137193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.947753056,1 +137198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.899581495,1 +137200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.48349475,1 +137199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.204370964,1 +137197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.038920402,1 +137201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.615944553,1 +137203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.565019107,1 +137202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.236772119,1 +137204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.761140149,1 +137205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.512113657,1 +137206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.094853379,1 +137207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.505593668,1 +137208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.839039584,1 +137209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.132851085,1 +137210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.174776466,1 +137212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.168120179,1 +137211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.467802116,1 +137214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.871544442,1 +137215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,1.976998545,1 +137216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.242041197,1 +137213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.868799235,1 +137217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.258417439,1 +137218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.972654113,1 +137219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.107130212,1 +137220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.694174851,1 +137222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.315411098,1 +137221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.186244918,1 +137223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.964128851,1 +137224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.325593977,1 +137226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.004854028,1 +137225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.921891657,1 +137228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.360798364,1 +137227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.308306833,1 +137229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.927864807,1 +137230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.526578449,1 +137232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.266604151,1 +137233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.932993628,1 +137234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.985991678,1 +137236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.204623782,1 +137235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.471481833,1 +137231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.925496335,1 +137237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.851166782,1 +137238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.306657584,1 +137239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.782459667,1 +137241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.36210182,1 +137240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.837175953,1 +137242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.79360882,1 +137243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.730619812,1 +137245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.100268902,1 +137246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.307057851,1 +137244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.84017548,1 +137247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.533290936,1 +137250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.477599422,1 +137248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.929807454,1 +137249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.45489363,1 +137251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.9228921,1 +137253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.97900474,1 +137252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.651478493,1 +137255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.940273955,1 +137256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.92231907,1 +137257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.191439941,1 +137258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.231444693,1 +137254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.760700309,1 +137260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.552763972,1 +137261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.034433197,1 +137259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.212998086,1 +137262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.736191603,1 +137263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.899858421,1 +137264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.532081786,1 +137265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.541959571,1 +137266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.721661882,1 +137267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.252395588,1 +137268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.117410963,1 +137269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.425555685,1 +137271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.833344456,1 +137270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.787393755,1 +137273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.136160476,1 +137272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,0.814279476,1 +137274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.915054542,1 +137275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.009856816,1 +137277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.437394625,1 +137278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.124250495,1 +137276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.064243889,1 +137279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.594715225,1 +137280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.537861787,1 +137281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.967843814,1 +137282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.400110134,1 +137283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.374843864,1 +137284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.09511944,1 +137285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.402658984,1 +137286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.144928062,1 +137288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.581197619,1 +137290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.735286642,1 +137287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,7.782278274,1 +137289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.386877245,1 +137291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.458027567,1 +137292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.4788727,1 +137293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.496249927,1 +137294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.239783703,1 +137295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.254221125,1 +137296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.716662644,1 +137298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.634458804,1 +137297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.963917413,1 +137300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.104574866,1 +137299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.569723542,1 +137301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.991889044,1 +137302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.931599345,1 +137303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.088720489,1 +137304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.946707586,1 +137305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.286328625,1 +137307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.379286273,1 +137306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.048226584,1 +137308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.564029448,1 +137309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.0377005,1 +137310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.548917677,1 +137311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.726758875,1 +137312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.958092517,1 +137313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.060937007,1 +137314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.663309733,1 +137315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.006430009,1 +137316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.160257692,1 +137318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.925935869,1 +137317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.73022248,1 +137319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.794702679,1 +137320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.285142594,1 +137322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.625099398,1 +137321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.15469216,1 +137323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.562119556,1 +137325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.503571697,1 +137326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.450593048,1 +137324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.132732178,1 +137327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,1.895342575,1 +137329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,1.825761578,1 +137328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.618586651,1 +137331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.698159749,1 +137330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.660545782,1 +137332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.994776177,1 +137333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.828405686,1 +137334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.929986262,1 +137335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.343611679,1 +137336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.498868503,1 +137337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.536635174,1 +137340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.334853341,1 +137338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.482024382,1 +137339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.27820271,1 +137341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.967707936,1 +137342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.979988577,1 +137343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.024083935,1 +137345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.623938611,1 +137344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.753014582,1 +137346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.045719796,1 +137347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.6178004,1 +137348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.047992448,1 +137349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.906595471,1 +137351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.142275113,1 +137352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.341693911,1 +137350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.982672798,1 +137356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.313151464,1 +137355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.083177489,1 +137354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.008880285,1 +137357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.563339246,1 +137358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.296894036,1 +137359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.640790316,1 +137353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.013935064,1 +137360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.321795177,1 +137361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.864050719,1 +137362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.640550823,1 +137364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.849051524,1 +137365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.211308255,1 +137363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.482330201,1 +137366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.621993265,1 +137368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.471325316,1 +137369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.310957357,1 +137370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.955865254,1 +137367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.127066894,1 +137371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.223661541,1 +137372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.692258685,1 +137373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.623169992,1 +137374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.004408613,1 +137375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.571906725,1 +137378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.674242745,1 +137377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.570437201,1 +137379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.449193741,1 +137380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.468744773,1 +137381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.071294768,1 +137376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.867111899,1 +137382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.065310791,1 +137385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.082186823,1 +137383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.409913065,1 +137384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.264212475,1 +137386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.607858918,1 +137388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.10345641,1 +137389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.135996913,1 +137387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,1.847367876,1 +137390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.594901648,1 +137391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.557608722,1 +137392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.271740507,1 +137393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.66016246,1 +137394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.594306085,1 +137396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.022110457,1 +137395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.39704161,1 +137397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.865978811,1 +137398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.469696121,1 +137399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.711569407,1 +137400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.727182613,1 +137402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.300538448,1 +137401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.801665776,1 +137403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.195021359,1 +137404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.575099636,1 +137406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.78017291,1 +137405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.082775893,1 +137407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.570102346,1 +137408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.872505252,1 +137411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.211928192,1 +137410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,1.782842614,1 +137409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.153955667,1 +137412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.687710814,1 +137413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.343717047,1 +137414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.221504903,1 +137415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.942551441,1 +137416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.815442199,1 +137417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.246984797,1 +137418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.745212566,1 +137419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.999677449,1 +137420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.006611933,1 +137421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.260059453,1 +137422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.84739937,1 +137423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.494925377,1 +137424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.94212031,1 +137425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.667788285,1 +137426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.452121885,1 +137428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.211994828,1 +137427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.530698615,1 +137429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.816380716,1 +137430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.636745412,1 +137431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.767377376,1 +137432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.348980858,1 +137434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.422275549,1 +137433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.43987879,1 +137435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.475563215,1 +137436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.210444366,1 +137437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.590083091,1 +137438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.270888584,1 +137439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.531819717,1 +137440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.413546421,1 +137441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.212218668,1 +137443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.106341668,1 +137442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.738645713,1 +137444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.893126838,1 +137445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.556917101,1 +137446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.96487651,1 +137448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.876151523,1 +137449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.973666785,1 +137450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.586005221,1 +137451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.447351732,1 +137447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.510096137,1 +137452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.428864892,1 +137454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.502235945,1 +137453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.29400972,1 +137456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.036923273,1 +137455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.96761416,1 +137458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.611385327,1 +137459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.282788924,1 +137457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,8.247748809,1 +137460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.774191273,1 +137461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.995698379,1 +137462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.912589598,1 +137463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.133579774,1 +137465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.35431283,1 +137466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.349374479,1 +137467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.207361485,1 +137469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.236009181,1 +137468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,7.346147549,1 +137470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.077927015,1 +137464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.407220481,1 +137473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.581465177,1 +137472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.668110611,1 +137474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.504374297,1 +137471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.467011251,1 +137476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.882691233,1 +137477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,1.931281485,1 +137475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.294300451,1 +137478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.064444833,1 +137479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.204172428,1 +137480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.403091438,1 +137481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.958812134,1 +137482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.982056907,1 +137483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.762773936,1 +137485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.549094009,1 +137486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.940355258,1 +137488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.272753859,1 +137487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.138202851,1 +137489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.444782395,1 +137484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.388087057,1 +137491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.582420005,1 +137490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.840737563,1 +137492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.283179118,1 +137493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.389735849,1 +137494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.331141943,1 +137495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.019043665,1 +137496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.816366376,1 +137497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.460653784,1 +137498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.705352226,1 +137499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.340991147,1 +137500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.249158695,1 +137503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.402568288,1 +137501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.622790109,1 +137502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.936648364,1 +137504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.560781431,1 +137505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.847409991,1 +137507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.322300696,1 +137506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.866748869,1 +137508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,7.726853106,1 +137509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.712895534,1 +137510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.683541933,1 +137512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.586946472,1 +137513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.658695436,1 +137511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.278047164,1 +137514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.201118172,1 +137515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,1.531620322,1 +137516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.076169198,1 +137517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.373763879,1 +137518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.538194635,1 +137520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.656442279,1 +137519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.748339532,1 +137522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.372330796,1 +137523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.809014434,1 +137521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.771871794,1 +137524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.520725144,1 +137525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.87971631,1 +137526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.305756465,1 +137528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.483157474,1 +137529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.175161931,1 +137530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.196448116,1 +137527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.029786774,1 +137531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.326487217,1 +137533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,8.408368715,1 +137532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.088139504,1 +137534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.142697637,1 +137535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.984566812,1 +137536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.658268922,1 +137537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.118636651,1 +137538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.912988646,1 +137539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.497327661,1 +137540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.361473654,1 +137541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.401295028,1 +137543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.655448283,1 +137542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.560399871,1 +137544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.501967791,1 +137545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.720217209,1 +137546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.827213455,1 +137548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.214761146,1 +137547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.550020308,1 +137549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.526236771,1 +137550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.246830867,1 +137552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,7.095265469,1 +137551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.599449087,1 +137553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.84697709,1 +137554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.915688534,1 +137555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.171918768,1 +137556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.730272725,1 +137557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.462469346,1 +137558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.150517816,1 +137560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,1.862565206,1 +137561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.2086951,1 +137562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.811486131,1 +137563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.530063252,1 +137564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.709655365,1 +137559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.98344263,1 +137565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.528792255,1 +137566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.048659984,1 +137568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.614328624,1 +137567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.042446936,1 +137569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.491816975,1 +137570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.351604213,1 +137573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.844459936,1 +137572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.29919792,1 +137571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.532838262,1 +137574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.155472899,1 +137575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.32512596,1 +137576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.98459651,1 +137577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,1.815731584,1 +137578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.549686482,1 +137579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.792181961,1 +137580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.244171979,1 +137581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.601159133,1 +137582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,1.848836116,1 +137583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.779971153,1 +137584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.343508693,1 +137586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.567454066,1 +137587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.747077208,1 +137588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.659332948,1 +137585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.863873009,1 +137589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.349443085,1 +137590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.404063794,1 +137591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.253480397,1 +137592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.704825932,1 +137593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.777278317,1 +137594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.981611615,1 +137595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.47298709,1 +137596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.130537191,1 +137597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.469825441,1 +137598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.253705557,1 +137599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.240308772,1 +137600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.151202014,1 +137601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.411378207,1 +137602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.442565038,1 +137603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.507043003,1 +137604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.958691291,1 +137605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.372048086,1 +137606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.438538765,1 +137607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.748710583,1 +137608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.79704117,1 +137609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.028678542,1 +137610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.078995478,1 +137611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.947006382,1 +137613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.191884117,1 +137614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,1.444442943,1 +137615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.297937378,1 +137616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.516381555,1 +137617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.829697421,1 +137618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.661953852,1 +137612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.510952933,1 +137620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.203581305,1 +137619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.595141342,1 +137621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.827123436,1 +137624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.080293481,1 +137623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.949919123,1 +137622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.6007714,1 +137625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,1.953930755,1 +137626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.553428978,1 +137628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.603503963,1 +137629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,1.028076007,1 +137627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.017677756,1 +137630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.913875077,1 +137631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.681610973,1 +137632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.03772951,1 +137633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.998553879,1 +137634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.422718774,1 +137637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.876011162,1 +137636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.18882077,1 +137638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.007057598,1 +137639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.43319022,1 +137635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.989937707,1 +137640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.241120968,1 +137641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.406778063,1 +137643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,1.794701332,1 +137644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.926151879,1 +137642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.343635717,1 +137645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.368435538,1 +137646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.820036932,1 +137647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.18481379,1 +137648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.468964633,1 +137649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.647286301,1 +137650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.803547497,1 +137652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.877042899,1 +137651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.683301079,1 +137653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.694821444,1 +137655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.798754181,1 +137656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.341200807,1 +137657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.852486621,1 +137658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.799060531,1 +137654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.99549385,1 +137659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.134572891,1 +137660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.958326725,1 +137662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.593648835,1 +137661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.742864982,1 +137663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.672714243,1 +137664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.296781846,1 +137666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.451450057,1 +137665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.772388364,1 +137667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.292509048,1 +137668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,1.749600411,1 +137669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.558041644,1 +137670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,1.412855924,1 +137671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.491317058,1 +137672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.585201292,1 +137673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.192368765,1 +137675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.267141303,1 +137676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.224113748,1 +137674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.204620762,1 +137677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.390170533,1 +137678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.7997754,1 +137679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.779110575,1 +137680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.412073109,1 +137681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.474393113,1 +137682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.416258308,1 +137683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.49583957,1 +137684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.397766491,1 +137685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.664664218,1 +137686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.332040702,1 +137687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.772393143,1 +137689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.348339383,1 +137691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.622610532,1 +137690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.196899327,1 +137688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.852190994,1 +137693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.761701379,1 +137694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.479745633,1 +137695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.359248337,1 +137696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.091270901,1 +137697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.994948069,1 +137692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.667058986,1 +137698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.928702092,1 +137699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.142482938,1 +137700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.129508375,1 +137701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.117332517,1 +137702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.876706105,1 +137703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.75360794,1 +137704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.232656495,1 +137705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.227745948,1 +137707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.164900016,1 +137706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.371099946,1 +137708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.2596502,1 +137709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.913529511,1 +137710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.895838147,1 +137711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.481428998,1 +137712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.95263623,1 +137714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.985712672,1 +137715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,1.785109934,1 +137716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.703629921,1 +137713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.845926687,1 +137717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.757569966,1 +137718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.552964261,1 +137720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.899939886,1 +137719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.69576336,1 +137722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.645219434,1 +137723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.919935425,1 +137721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.016048574,1 +137724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.101841879,1 +137725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.011700367,1 +137726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.038095373,1 +137727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.625911137,1 +137728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.580845656,1 +137730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.989314794,1 +137732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.734893917,1 +137731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.328380243,1 +137733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.902832536,1 +137729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.862200623,1 +137737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.866676204,1 +137735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.970233969,1 +137734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.848997408,1 +137736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.76165758,1 +137738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.601207331,1 +137739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.369168405,1 +137740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.826783583,1 +137741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.312333052,1 +137742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.113306832,1 +137743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.816462555,1 +137744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.672320751,1 +137745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.249506164,1 +137749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.455062009,1 +137748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.351243949,1 +137747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.462276765,1 +137746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.361740093,1 +137752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.714230089,1 +137751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.88146525,1 +137750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.176999574,1 +137753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.367434911,1 +137756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,1.756709617,1 +137754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.009723021,1 +137757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.809901832,1 +137755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.917892781,1 +137758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.164573039,1 +137761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.643445,1 +137760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.221463811,1 +137759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.382958068,1 +137762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.107737695,1 +137763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.779209236,1 +137764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.560951688,1 +137765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.734886529,1 +137766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.821135731,1 +137767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.518912153,1 +137768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.328352697,1 +137770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.483056078,1 +137769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.901238103,1 +137771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.671599982,1 +137772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.903811126,1 +137773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.515563374,1 +137775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.079490173,1 +137776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.848433409,1 +137777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,1.708068209,1 +137778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.139903501,1 +137774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.068514518,1 +137779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.762737613,1 +137782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.313019099,1 +137780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.095121774,1 +137781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.97441456,1 +137783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.612901267,1 +137785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.888723371,1 +137784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.408598189,1 +137787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.764976363,1 +137786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.340891048,1 +137788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.745291035,1 +137791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.494726951,1 +137790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.258414779,1 +137792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.454094484,1 +137793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.136201946,1 +137789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.086865828,1 +137794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.133957479,1 +137795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,1.934987052,1 +137797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.671700177,1 +137798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.843975292,1 +137796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.59443872,1 +137799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.296216481,1 +137800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.085831714,1 +137801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.177260087,1 +137802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.864857425,1 +137803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.441679364,1 +137805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.03564657,1 +137806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.668942763,1 +137807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.70310804,1 +137809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.728687692,1 +137804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.381586165,1 +137808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.520868427,1 +137810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.665658503,1 +137812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.497846805,1 +137811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.480088127,1 +137813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.914600308,1 +137814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.359428941,1 +137815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.626320202,1 +137816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.009205974,1 +137817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.137132717,1 +137818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.910224265,1 +137820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.657191545,1 +137821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.78984791,1 +137822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.966727013,1 +137823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.904098778,1 +137825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.917611367,1 +137819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.295932397,1 +137824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.350436474,1 +137826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.510161388,1 +137828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.435327503,1 +137827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.913973202,1 +137829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.926781814,1 +137830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.582327371,1 +137831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.063891472,1 +137833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.403893996,1 +137832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.808628503,1 +137834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.655434279,1 +137835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.553512572,1 +137836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.329259078,1 +137837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.692935573,1 +137838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.492685478,1 +137841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.626325393,1 +137840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.904550225,1 +137839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.912635172,1 +137842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.575048037,1 +137844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.637644144,1 +137845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.759233146,1 +137843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.629249885,1 +137846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.431142321,1 +137847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.308273553,1 +137849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.379068831,1 +137848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.305981778,1 +137850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.711836703,1 +137851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.120033482,1 +137852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,1.885696014,1 +137854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.948700716,1 +137856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.278618713,1 +137853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.488865124,1 +137855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.043637917,1 +137857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.05038619,1 +137859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.430203257,1 +137860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.453322797,1 +137858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.134186536,1 +137861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.490173805,1 +137863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.077075042,1 +137862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.246406603,1 +137864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.770452164,1 +137865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.257766226,1 +137866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.533526227,1 +137868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.519125716,1 +137869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.857797252,1 +137867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.469919188,1 +137871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.862042825,1 +137870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.915659384,1 +137873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.485818804,1 +137872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.903097528,1 +137874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.498439948,1 +137875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.489935083,1 +137876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.368833334,1 +137878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.986973455,1 +137877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.934923445,1 +137879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.920827941,1 +137882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.546370768,1 +137880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.889679049,1 +137881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.726882224,1 +137883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.636118307,1 +137884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.386292964,1 +137886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.891318997,1 +137885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.883082467,1 +137887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.645535079,1 +137888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.265504432,1 +137889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.428467787,1 +137891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.479096686,1 +137890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.842404515,1 +137892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.853276327,1 +137893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.797635452,1 +137894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.723886484,1 +137896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.691240228,1 +137895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.53172626,1 +137897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.246918482,1 +137898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.861788183,1 +137899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.173333988,1 +137901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.944004129,1 +137900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.50738631,1 +137902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.882007522,1 +137904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.431065538,1 +137903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.792353861,1 +137905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.863723934,1 +137906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.957050209,1 +137907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.551106178,1 +137908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,8.176304041,1 +137909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.281949328,1 +137910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.522154272,1 +137911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.784386119,1 +137912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.99457758,1 +137913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.367624307,1 +137914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.920456992,1 +137915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.30723415,1 +137916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.740458209,1 +137917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.349272626,1 +137918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.974481792,1 +137919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.914090931,1 +137920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.434076754,1 +137921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.96960491,1 +137922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.005544611,1 +137923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.345222168,1 +137924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.551539784,1 +137927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.870121825,1 +137926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.602000187,1 +137925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.275732194,1 +137928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.168928822,1 +137929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.800013006,1 +137932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.512791287,1 +137931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.251109036,1 +137930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.361472011,1 +137933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.998035888,1 +137935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.330861945,1 +137934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.763983874,1 +137937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.224528735,1 +137939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.292635014,1 +137936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.313107428,1 +137938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.840616557,1 +137940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.009306911,1 +137941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.506101803,1 +137943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,7.804704455,1 +137944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,1.635345535,1 +137942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.940823103,1 +137945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.899282925,1 +137946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.166828608,1 +137948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.79745491,1 +137947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.201403388,1 +137949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.355037497,1 +137951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.71871582,1 +137950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.94457267,1 +137952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.311667232,1 +137953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.550098638,1 +137955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.787665795,1 +137956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.136300948,1 +137957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.063880294,1 +137954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.689884394,1 +137959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.284051463,1 +137958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,7.130596677,1 +137960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.9723047,1 +137961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.024394568,1 +137963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.044654964,1 +137962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.057656661,1 +137964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.083871507,1 +137965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.254290571,1 +137966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,7.859248988,1 +137967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.460985404,1 +137968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.728905151,1 +137969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.374560043,1 +137970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.660032196,1 +137972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.290685763,1 +137971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.057483969,1 +137974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.321453155,1 +137975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.393814052,1 +137976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.430270131,1 +137973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.089753837,1 +137977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.826209737,1 +137980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,1.770975815,1 +137978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.124553596,1 +137979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.320270168,1 +137982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,6.735255696,1 +137981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.603332456,1 +137984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.451086848,1 +137983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.665607156,1 +137985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.287569602,1 +137986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.305970924,1 +137988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.659151059,1 +137987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.860949889,1 +137989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.640235337,1 +137991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.966685859,1 +137992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.083981747,1 +137990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.985022817,1 +137994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,2.488429708,1 +137993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.207830515,1 +137995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.213803101,1 +137997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.706991964,1 +137998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,3.900363245,1 +137999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,4.395244133,1 +137996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,1.655990138,1 +138000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,8,1,5.453498744,1 +147001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.209649749,1 +147002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.996663011,1 +147003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.938715296,1 +147004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.644910169,1 +147006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.054050949,1 +147005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.003410547,1 +147007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.940815564,1 +147008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.566459419,1 +147009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.289210871,1 +147010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.17837924,1 +147011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.897042492,1 +147012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.106190037,1 +147013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.785121065,1 +147014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.021921202,1 +147015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.388823989,1 +147016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.059634055,1 +147017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.111792662,1 +147019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.10823872,1 +147018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.147315477,1 +147021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.632477628,1 +147020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.694947981,1 +147022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.737803382,1 +147023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.797080088,1 +147025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.833281073,1 +147024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.587107674,1 +147026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.822795969,1 +147027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.54161629,1 +147028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.401940036,1 +147029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.923922933,1 +147030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.894837051,1 +147032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.950949555,1 +147033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.066969415,1 +147034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.689588275,1 +147031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.672576026,1 +147036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.904450914,1 +147035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.727949413,1 +147037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.737304916,1 +147038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.97253126,1 +147039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.246674677,1 +147040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.265191478,1 +147041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.759554065,1 +147042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.002536882,1 +147043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.772093896,1 +147045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.352835101,1 +147044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.266062801,1 +147046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.686748336,1 +147047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.816505222,1 +147048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.922214755,1 +147049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.001947421,1 +147050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.023514694,1 +147052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.444077162,1 +147051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.391055586,1 +147053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.615279379,1 +147056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.488427002,1 +147057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.130501683,1 +147054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.769664515,1 +147055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.406764907,1 +147058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.511335058,1 +147059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.751325974,1 +147061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.534691389,1 +147060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.779036504,1 +147062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.285532016,1 +147063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.886033443,1 +147064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.048568737,1 +147065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.006730171,1 +147066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.868638071,1 +147067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.629981346,1 +147068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.656341574,1 +147070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.964575388,1 +147071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.641120516,1 +147069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.381616644,1 +147072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.324603792,1 +147073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.052385054,1 +147074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.119070741,1 +147075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.453380966,1 +147077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.744662682,1 +147076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.498512479,1 +147078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.138584952,1 +147079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.769970243,1 +147080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.157660921,1 +147082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.550633427,1 +147081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.265716288,1 +147083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.596512132,1 +147084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.761992506,1 +147085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.711272226,1 +147086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.385434499,1 +147087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.923040584,1 +147088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.414780116,1 +147089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.916869561,1 +147091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,7.286704101,1 +147092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.408781762,1 +147093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.603547026,1 +147094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.549197127,1 +147090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.214021771,1 +147096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.129007993,1 +147095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.289599902,1 +147098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.447443865,1 +147097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.986737011,1 +147100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.032364712,1 +147099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.005596128,1 +147101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.240590888,1 +147102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.247183321,1 +147103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.82723309,1 +147104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.668682252,1 +147106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.496531044,1 +147107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.543177839,1 +147108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.066365873,1 +147109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.58304684,1 +147105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.569617421,1 +147110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.717654493,1 +147111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.884024398,1 +147112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.770172349,1 +147113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.831119362,1 +147115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.179699274,1 +147114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.159359282,1 +147116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.545459906,1 +147117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.68568448,1 +147119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.063469406,1 +147118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.806262445,1 +147120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.249901579,1 +147122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.140981017,1 +147123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.203335491,1 +147121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,7.047523283,1 +147124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.607084769,1 +147125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.387196661,1 +147126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.852217846,1 +147128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.832513173,1 +147127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.807424485,1 +147129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.825852986,1 +147130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.603345874,1 +147131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.337786126,1 +147132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,8.640163284,1 +147133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.24385356,1 +147134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,11.26313709,1 +147135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.519986462,1 +147137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.21247897,1 +147136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.85301638,1 +147138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.511218736,1 +147139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.043382402,1 +147140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.465856249,1 +147141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.05883842,1 +147142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.106387994,1 +147143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.603212042,1 +147144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.792564802,1 +147146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.381038908,1 +147147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,7.528198094,1 +147148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.28595919,1 +147149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.271309817,1 +147150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,7.176805462,1 +147151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.973492587,1 +147145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.255186741,1 +147152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,7.479198449,1 +147153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.764226207,1 +147154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.016977493,1 +147156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.836010573,1 +147155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.525150368,1 +147158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.967147213,1 +147157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.979099058,1 +147160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.863176452,1 +147159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.96012376,1 +147162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.558308833,1 +147161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.184143019,1 +147164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.485389921,1 +147163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.227842371,1 +147166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.83036057,1 +147165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.759765753,1 +147167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.868162982,1 +147169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.856581487,1 +147170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.698254837,1 +147171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.796703098,1 +147168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.347855694,1 +147173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.22095049,1 +147172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.68997651,1 +147174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.81769888,1 +147175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.38452596,1 +147176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.954487361,1 +147177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.516323376,1 +147178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.745848267,1 +147180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.86791874,1 +147181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.175792922,1 +147179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.093354985,1 +147182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.924873047,1 +147183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.946969114,1 +147184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.60121562,1 +147186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.424420537,1 +147187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.02105155,1 +147185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.918880582,1 +147189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.496968738,1 +147188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.046301204,1 +147190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.466391188,1 +147191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.766148764,1 +147192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.611410099,1 +147193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.945843759,1 +147194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.072890012,1 +147196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.042290733,1 +147197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.741339426,1 +147195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.614882042,1 +147198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,7.132305361,1 +147199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.659573438,1 +147200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.454900031,1 +147201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,7.852636022,1 +147202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.088039028,1 +147204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.737472167,1 +147203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.644100035,1 +147205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.680788188,1 +147206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.230104996,1 +147207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.566941609,1 +147208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.251391056,1 +147210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.990587211,1 +147209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.61202262,1 +147211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.065655557,1 +147212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.139172029,1 +147213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.810827186,1 +147214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.401109159,1 +147215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.32774581,1 +147217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.672054882,1 +147216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.345505754,1 +147218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,8.550666357,1 +147219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.657668406,1 +147221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.04724393,1 +147220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.021077434,1 +147223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.025292652,1 +147225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.785133842,1 +147224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.815002697,1 +147222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.217599638,1 +147226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.723843915,1 +147227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.818204813,1 +147228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.190249884,1 +147230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.11672666,1 +147229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.439680985,1 +147231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.203334104,1 +147232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.979134761,1 +147233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.599112214,1 +147235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.71025044,1 +147234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.835168153,1 +147236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.281375802,1 +147237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.479416566,1 +147238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.816227242,1 +147239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.395446151,1 +147240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.48088889,1 +147241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.915078119,1 +147242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.024489883,1 +147244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.955305867,1 +147245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.521616639,1 +147246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.386310173,1 +147247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.976772472,1 +147248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.82037584,1 +147243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.89821961,1 +147249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.404816039,1 +147252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.344847116,1 +147250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.930356478,1 +147251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.293498357,1 +147253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.399095571,1 +147254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.362819353,1 +147255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.982038296,1 +147256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.705122927,1 +147257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.93968641,1 +147259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.761913468,1 +147260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.564032564,1 +147261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.436839717,1 +147258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.65468272,1 +147262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.479288613,1 +147263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.119916491,1 +147264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.477864387,1 +147265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.965766188,1 +147267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.347818655,1 +147266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.875221138,1 +147268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.356482623,1 +147270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.149379016,1 +147269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.752717722,1 +147271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.128191773,1 +147272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.760230418,1 +147273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.36668044,1 +147275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.428020091,1 +147276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.064952845,1 +147274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.897000397,1 +147277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.804006018,1 +147278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.586212826,1 +147279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.684929141,1 +147281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.062860832,1 +147280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.181709427,1 +147282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.940342732,1 +147283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.851878874,1 +147284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.182329495,1 +147285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.874701286,1 +147286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.075745358,1 +147287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.648867505,1 +147289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.459974291,1 +147288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.270042207,1 +147290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.421493162,1 +147291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.909766106,1 +147293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.463439338,1 +147292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.543726865,1 +147294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.808497136,1 +147295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.211264002,1 +147298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.877183858,1 +147296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.041551616,1 +147299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.864817839,1 +147297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.065871353,1 +147301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.860082002,1 +147300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.66545735,1 +147302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.811822124,1 +147303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.112577522,1 +147305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.685768065,1 +147304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.690669234,1 +147306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.259696405,1 +147307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.277521048,1 +147308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.435290336,1 +147309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.166864983,1 +147310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.323443858,1 +147311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.910320044,1 +147312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.442390221,1 +147313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.173775672,1 +147314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.363798408,1 +147315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.256355767,1 +147316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.066758189,1 +147317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.996152844,1 +147318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.891879976,1 +147319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.971976908,1 +147321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.828409209,1 +147320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.987440389,1 +147322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.812585733,1 +147324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.611946991,1 +147323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.899242665,1 +147325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.821639766,1 +147326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.757513243,1 +147327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.204612689,1 +147330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,7.405793543,1 +147329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.174604981,1 +147328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.918627196,1 +147331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.354183003,1 +147332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.268447343,1 +147334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.815869181,1 +147335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.4141839,1 +147336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.180400901,1 +147333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.347209874,1 +147337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.52847884,1 +147338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.062985684,1 +147339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.131701947,1 +147340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.415431097,1 +147341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.337190784,1 +147342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.507201751,1 +147344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.82132296,1 +147343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.839513028,1 +147345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.732847849,1 +147346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.956152828,1 +147348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.560821553,1 +147349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.135281158,1 +147350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.814117383,1 +147347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.815714981,1 +147351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.178003805,1 +147352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.937399699,1 +147353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.432806918,1 +147355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.529629565,1 +147354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.679303437,1 +147357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.004818397,1 +147356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.865177907,1 +147359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.936617245,1 +147358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.54878348,1 +147360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.011881257,1 +147361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.417972093,1 +147362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.142313413,1 +147363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,7.327275489,1 +147365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.97346982,1 +147364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.279669729,1 +147367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.010085674,1 +147368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.681645088,1 +147370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.874871869,1 +147366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.692667451,1 +147369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.985183877,1 +147371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.508933566,1 +147372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.335424799,1 +147374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.794378225,1 +147373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.029921108,1 +147375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.423437724,1 +147376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.547966662,1 +147377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.057399034,1 +147378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.135792929,1 +147379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.498592559,1 +147380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.271220396,1 +147381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.281160664,1 +147382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.729891479,1 +147383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.604711958,1 +147384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.293476443,1 +147387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.95298658,1 +147385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.2625578,1 +147386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.641553164,1 +147388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.150005483,1 +147389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.523000442,1 +147391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.805080243,1 +147390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.167603328,1 +147392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.091028827,1 +147393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.197681468,1 +147394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.299095942,1 +147396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.946796065,1 +147397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.894303148,1 +147398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.742794458,1 +147395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.13599836,1 +147399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.894278072,1 +147401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.82363433,1 +147400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.291211173,1 +147402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.373844196,1 +147403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.176345535,1 +147405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.008202378,1 +147406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.232142969,1 +147404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.831567703,1 +147407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.379878554,1 +147408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.857160904,1 +147410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.974523945,1 +147411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.93209448,1 +147412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.676983971,1 +147413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.531515718,1 +147414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.200777949,1 +147415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.959090764,1 +147416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.998900449,1 +147409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.040850356,1 +147420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.114243333,1 +147417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.784724916,1 +147418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.857828298,1 +147419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.204985599,1 +147421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.698362398,1 +147422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.384898688,1 +147423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.398354206,1 +147424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.450013949,1 +147425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.598511737,1 +147427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.043734998,1 +147426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.378146129,1 +147428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.335966005,1 +147430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.850871547,1 +147431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.838688182,1 +147432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.288247626,1 +147434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.850356273,1 +147429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.4065453,1 +147433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.70837887,1 +147435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.422020576,1 +147436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.779853603,1 +147437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.748200826,1 +147438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.779652959,1 +147439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.48072638,1 +147440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.034654791,1 +147441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.698367712,1 +147442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.104042152,1 +147443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.016036922,1 +147444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.039940166,1 +147445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.464910486,1 +147446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.621375342,1 +147447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.083967443,1 +147448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.961779307,1 +147450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.493936294,1 +147449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.248382375,1 +147451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.974099401,1 +147452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.211595159,1 +147453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.575581177,1 +147454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.644919476,1 +147455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.48206986,1 +147456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.035072495,1 +147457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.227756038,1 +147459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.333894061,1 +147458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.729774072,1 +147461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.349127166,1 +147460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.746110836,1 +147462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.227208098,1 +147465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.279496073,1 +147464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.14993701,1 +147463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.258627141,1 +147468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.717570879,1 +147467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.058460252,1 +147466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.636525279,1 +147469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.600128236,1 +147470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.662818546,1 +147471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.65529143,1 +147472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.369341419,1 +147473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,7.593179434,1 +147474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.732649565,1 +147475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.230702509,1 +147476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.008032892,1 +147477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.919867491,1 +147479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.469527766,1 +147478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.754119136,1 +147480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.136505262,1 +147481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.51235488,1 +147483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.028370635,1 +147482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.526431661,1 +147485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.753895367,1 +147486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.101802946,1 +147484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.619474233,1 +147487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.296095404,1 +147488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.655484701,1 +147489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.257295401,1 +147491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,7.397683563,1 +147493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.098899094,1 +147490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.847280501,1 +147492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.245917833,1 +147494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.392077744,1 +147497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.199001343,1 +147495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.81713934,1 +147499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.8117185,1 +147496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.632572857,1 +147500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.421024903,1 +147498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.580768386,1 +147502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.022729723,1 +147503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.518648801,1 +147504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.581043327,1 +147501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.1490647,1 +147505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.105809476,1 +147506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.593648403,1 +147507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.721143825,1 +147509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,9.665319205,1 +147508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.925585297,1 +147511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.869706035,1 +147510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.698102762,1 +147513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.535128279,1 +147512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.053974478,1 +147515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.802470517,1 +147516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.77324828,1 +147514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.402257748,1 +147517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.206319185,1 +147518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.891246862,1 +147522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.207856182,1 +147520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.981318075,1 +147521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.172295113,1 +147519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.269629525,1 +147524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.346262618,1 +147525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.179764287,1 +147523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.218486855,1 +147526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.416620787,1 +147527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.204873147,1 +147529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.264832853,1 +147530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.509724364,1 +147528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.755005,1 +147531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.711111344,1 +147532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.391172575,1 +147533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.758426609,1 +147534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.138199404,1 +147536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.738223176,1 +147535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.432724415,1 +147538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.139789147,1 +147539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.424574198,1 +147537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.78173095,1 +147540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.879502334,1 +147543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.479109547,1 +147544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.371368185,1 +147541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.713082896,1 +147542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.637174901,1 +147546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.157047934,1 +147545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.433701945,1 +147547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.065944587,1 +147548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.645508702,1 +147550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.406461532,1 +147551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.650166188,1 +147552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.735269909,1 +147549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.452597013,1 +147554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.855373921,1 +147555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.923770838,1 +147553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.45531127,1 +147556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.813400102,1 +147557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.800949686,1 +147558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.276762425,1 +147560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.048009123,1 +147559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.797497351,1 +147561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.322904576,1 +147562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.882796489,1 +147563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.437721301,1 +147564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.331782734,1 +147566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.202722546,1 +147567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.676197751,1 +147565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.387684527,1 +147569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.131157964,1 +147570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.411075851,1 +147568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.400416933,1 +147571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.188275882,1 +147574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.28395925,1 +147575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.568263873,1 +147572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.485760887,1 +147573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.134635379,1 +147576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.341572008,1 +147578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.384250169,1 +147577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.294184837,1 +147579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.881412837,1 +147580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.403459165,1 +147581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.925444417,1 +147583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.000263109,1 +147582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.001377518,1 +147585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.010553449,1 +147586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.434808973,1 +147584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.990956765,1 +147587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.254693467,1 +147588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.240609073,1 +147590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.194226891,1 +147589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,8.593988575,1 +147592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.368971592,1 +147591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.099820135,1 +147593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.834972789,1 +147594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.488721788,1 +147595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.269481411,1 +147597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.532587314,1 +147598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.319226603,1 +147599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.743102867,1 +147596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.493404183,1 +147601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.679371319,1 +147600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.64010694,1 +147603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.160846408,1 +147602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.780616357,1 +147605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.403301884,1 +147604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.102656042,1 +147606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.296100453,1 +147607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.872589282,1 +147608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.627654592,1 +147609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.57235312,1 +147611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.647710544,1 +147612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.246999961,1 +147613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.558447644,1 +147614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,7.578086238,1 +147610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.819949867,1 +147616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.510055403,1 +147617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.54694866,1 +147615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.434992279,1 +147618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.142823336,1 +147619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.888318696,1 +147621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.940793784,1 +147620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.466730856,1 +147622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.716134092,1 +147623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.22518621,1 +147624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.382098941,1 +147625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.951494845,1 +147627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.982183679,1 +147628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.495517249,1 +147629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.09785974,1 +147630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.535299835,1 +147631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.731391318,1 +147632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.793832863,1 +147626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.853104978,1 +147633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.502465534,1 +147635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.616277179,1 +147636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.544670146,1 +147634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.334488747,1 +147637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.509371965,1 +147638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.384927438,1 +147639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.434209955,1 +147640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.851567989,1 +147641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.938252373,1 +147642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.198319496,1 +147643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.621126207,1 +147644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.751837556,1 +147645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.711369213,1 +147647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.431932092,1 +147648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.464762985,1 +147646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,7.753066447,1 +147649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.817324237,1 +147650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.474319231,1 +147651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.091459468,1 +147652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.798511157,1 +147653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.739637111,1 +147654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.897939025,1 +147655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.731126823,1 +147658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.089184962,1 +147656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.716035354,1 +147657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.403224516,1 +147659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.912953078,1 +147660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.91196419,1 +147662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.526711426,1 +147661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.851621799,1 +147663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.140357355,1 +147666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.726182419,1 +147664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.434259432,1 +147665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.111018732,1 +147667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.053980249,1 +147668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.44639419,1 +147670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,7.376900711,1 +147669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.220868814,1 +147671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.531750405,1 +147672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.026315211,1 +147673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.781226833,1 +147674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.619987429,1 +147675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.845424449,1 +147676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.386771448,1 +147677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,7.224900271,1 +147678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.290992789,1 +147679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.809990673,1 +147680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.765872444,1 +147681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.735375386,1 +147682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.497979219,1 +147685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.358921479,1 +147683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.92232336,1 +147684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.489722941,1 +147686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.104528085,1 +147687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.715102281,1 +147688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.47885061,1 +147689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.403477638,1 +147690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.491391201,1 +147693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.15272339,1 +147691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.715842011,1 +147694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.006242164,1 +147692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.868774325,1 +147695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.941490276,1 +147696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.448564442,1 +147697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.838666084,1 +147698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.950975673,1 +147699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.480271899,1 +147701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.098507161,1 +147700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.740381471,1 +147703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.242015391,1 +147704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.259336538,1 +147705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.86503794,1 +147702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.95681331,1 +147707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.726068718,1 +147706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.342987494,1 +147708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.940475135,1 +147710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.647338436,1 +147712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.65756204,1 +147709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.767117499,1 +147711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.907392384,1 +147713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.636719298,1 +147714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.361917379,1 +147716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.445357477,1 +147715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.597752056,1 +147717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.974117775,1 +147719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.012577965,1 +147720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.78443103,1 +147721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,9.057623598,1 +147722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.851989057,1 +147723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.387984273,1 +147725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.195949517,1 +147718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.735563351,1 +147724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.702342471,1 +147728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.9791025,1 +147726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.821086366,1 +147729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.033918954,1 +147727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.586684946,1 +147731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.465810723,1 +147730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.234955069,1 +147732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.952200029,1 +147733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.509683514,1 +147734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.641699012,1 +147736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.252316028,1 +147737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.544050703,1 +147738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.150400949,1 +147739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.381146773,1 +147740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.634917278,1 +147735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.505449408,1 +147741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.757349235,1 +147744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.97383523,1 +147743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.125209757,1 +147742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.05506491,1 +147745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.484178773,1 +147748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.963075177,1 +147746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.887426763,1 +147747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.370891941,1 +147749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.657123008,1 +147750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,7.22934323,1 +147751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.355603267,1 +147752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.11698017,1 +147753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.954719871,1 +147754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.910630372,1 +147756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.99790057,1 +147755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.697295695,1 +147757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.043481807,1 +147759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.373590613,1 +147758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.01107923,1 +147760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.334256277,1 +147762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.729280504,1 +147761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.608592345,1 +147763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.138395662,1 +147764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.025960911,1 +147765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.470533051,1 +147766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.199028626,1 +147767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.768945994,1 +147770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.445407866,1 +147769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.722574695,1 +147771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.071392489,1 +147768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.332816491,1 +147772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.312851603,1 +147773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.623130003,1 +147774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.849827034,1 +147775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.197421201,1 +147776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.641694702,1 +147777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.014423303,1 +147778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.283187316,1 +147780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.515258099,1 +147779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.910999375,1 +147781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.295583682,1 +147782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.416571697,1 +147785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.225332206,1 +147783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.305459276,1 +147786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.16457076,1 +147784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.526090931,1 +147788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.066370781,1 +147787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.705950981,1 +147789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.794999346,1 +147791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.076729495,1 +147792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.14877739,1 +147793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.461681391,1 +147790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.385735959,1 +147795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.133947453,1 +147794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.369066562,1 +147796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.076868879,1 +147798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.057682465,1 +147799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.928790734,1 +147800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.73356173,1 +147797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.638275078,1 +147801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.79609746,1 +147802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.602765214,1 +147804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.344186622,1 +147805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.997083411,1 +147803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.380035928,1 +147806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.187535263,1 +147807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.913125725,1 +147808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.727785453,1 +147809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.968104315,1 +147810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.45442412,1 +147812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.535994331,1 +147813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.22672468,1 +147814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.717299587,1 +147815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.90653186,1 +147811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.410080942,1 +147816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.208325113,1 +147817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.612392126,1 +147819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.302024871,1 +147820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.977727383,1 +147818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.545961311,1 +147821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.464243871,1 +147823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.731131044,1 +147824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.545068833,1 +147822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.550003134,1 +147825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.265274223,1 +147826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.273980063,1 +147827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.095749893,1 +147829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.905578385,1 +147830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.821474326,1 +147831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.340655578,1 +147828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.794620719,1 +147832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.110872825,1 +147835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.735265963,1 +147833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.591852225,1 +147834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.898274528,1 +147836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.2411946,1 +147838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.937033503,1 +147839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.443577517,1 +147840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.978358733,1 +147837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.359122215,1 +147841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.208217552,1 +147842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.675017042,1 +147843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.813411214,1 +147844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.71943334,1 +147845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.990738229,1 +147846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.253006736,1 +147847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.787861301,1 +147849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.540844891,1 +147848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.837204921,1 +147850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.059371622,1 +147851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.718043245,1 +147852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.342441171,1 +147853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.856692193,1 +147855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.098555197,1 +147854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.414188904,1 +147856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.856496665,1 +147857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.309675838,1 +147858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.924877131,1 +147859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.207969382,1 +147860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.182038308,1 +147861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.145668424,1 +147862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.168765419,1 +147863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.325767122,1 +147864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.252110162,1 +147865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.599769576,1 +147866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.147665128,1 +147867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.337160594,1 +147868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.940701185,1 +147869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.968457688,1 +147870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.589915278,1 +147872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.991586283,1 +147871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.884412269,1 +147873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.20691732,1 +147874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.661282213,1 +147875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.35630289,1 +147876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.696109152,1 +147877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.09083751,1 +147880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.693815529,1 +147878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.615714538,1 +147879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.863073144,1 +147881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.242086174,1 +147883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.847363263,1 +147884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.514246597,1 +147885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.911226588,1 +147886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.6094183,1 +147887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.518142783,1 +147882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.603376113,1 +147888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.94952247,1 +147889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.74044099,1 +147890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.16638026,1 +147891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.096658811,1 +147895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.052038509,1 +147894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.441714611,1 +147893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.096491738,1 +147892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.10127051,1 +147896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.58204302,1 +147897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.39076032,1 +147899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.248714745,1 +147898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.398454898,1 +147900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.272806573,1 +147901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.198200244,1 +147902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.007728134,1 +147903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.549751271,1 +147905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.456112036,1 +147906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.524456275,1 +147907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.182388749,1 +147904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.505770809,1 +147908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.344904308,1 +147909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.823186586,1 +147911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,9.633753057,1 +147910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.321308815,1 +147912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.317655265,1 +147914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.252747525,1 +147913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.207077424,1 +147915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.682358993,1 +147916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.989689435,1 +147917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,7.545209238,1 +147918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.140593878,1 +147920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.430872817,1 +147919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.858542913,1 +147922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.526544956,1 +147921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.465444396,1 +147924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.20055917,1 +147923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.724982048,1 +147925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.713868269,1 +147926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.344559685,1 +147927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.049139257,1 +147928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.352651492,1 +147929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.03343819,1 +147930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.216794239,1 +147931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.995686838,1 +147933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.835085869,1 +147934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.743968945,1 +147935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.650253724,1 +147932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.186507281,1 +147936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.576536812,1 +147939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.480700509,1 +147937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.399843367,1 +147938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.331071929,1 +147940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.700729092,1 +147942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.619070989,1 +147943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.169729402,1 +147944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.691385032,1 +147945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.001994243,1 +147946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.622805354,1 +147941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.997216665,1 +147947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.419390282,1 +147948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.562937325,1 +147949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.408794769,1 +147951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.426883428,1 +147952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,8.284018919,1 +147953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.725077059,1 +147950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.360173183,1 +147956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.938835299,1 +147954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.309106091,1 +147955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.125593836,1 +147957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.005870813,1 +147958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.154689128,1 +147961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.321231373,1 +147959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.098543501,1 +147960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.662312673,1 +147963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,1.784762386,1 +147965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.831183339,1 +147964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.761573208,1 +147966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.908653319,1 +147967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.715475256,1 +147962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.273864984,1 +147968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.645848324,1 +147971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.182766835,1 +147972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.369686735,1 +147970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.937169837,1 +147969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.339848254,1 +147973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.548024493,1 +147974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.115538443,1 +147976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.109946998,1 +147975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.466681914,1 +147977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.41092144,1 +147978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.687690641,1 +147979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.445890243,1 +147980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.829873088,1 +147982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.909933623,1 +147983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.153633361,1 +147984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.817718899,1 +147986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.044030523,1 +147981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.807668279,1 +147985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.108879444,1 +147987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.367801483,1 +147988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.004236239,1 +147990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.375021734,1 +147989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,5.385474466,1 +147991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.65523137,1 +147992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.421923291,1 +147993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,6.336391914,1 +147994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.977163719,1 +147995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,3.213917434,1 +147997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.740836494,1 +147996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.720801997,1 +147999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,8.224524632,1 +147998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,2.792759794,1 +148000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,8,1,4.717644734,1 +157001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.287040243,1 +157003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.486674322,1 +157004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.477516324,1 +157005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.904611364,1 +157002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.342167591,1 +157006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.971596717,1 +157007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.825287973,1 +157008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.445306195,1 +157009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.409118491,1 +157010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.269164532,1 +157011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.107482793,1 +157012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.346597064,1 +157013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.177122224,1 +157015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.474167287,1 +157014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.190282803,1 +157016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.616292258,1 +157018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.414392647,1 +157017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.391429303,1 +157019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.08447928,1 +157020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.840843016,1 +157021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.194857005,1 +157022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.854944144,1 +157024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.349762686,1 +157023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.999658179,1 +157025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.92430571,1 +157026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.655230203,1 +157027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.206695054,1 +157028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.689349049,1 +157031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.378168829,1 +157032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,7.756271035,1 +157029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.706869061,1 +157030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.121734814,1 +157033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.136458602,1 +157034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,7.636575628,1 +157035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,8.579284828,1 +157036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.625220417,1 +157037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.069869353,1 +157039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.336637048,1 +157038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.12817072,1 +157040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.349718656,1 +157043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.358419682,1 +157041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.717788522,1 +157044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.86712902,1 +157045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.476558114,1 +157046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,19.22569591,1 +157042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.397877061,1 +157048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.84007181,1 +157049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.132725037,1 +157047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.828555356,1 +157050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.149121718,1 +157051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.431538434,1 +157052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.817055531,1 +157053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.145605601,1 +157054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.545789072,1 +157056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.354787332,1 +157057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.688293984,1 +157055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.774262834,1 +157058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,9.06767839,1 +157059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.964199318,1 +157061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.696373261,1 +157060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.095912756,1 +157063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,0.532171322,1 +157064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.968863247,1 +157065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.769429797,1 +157066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,0.695347176,1 +157067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.23572357,1 +157062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.580042059,1 +157068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.240989092,1 +157071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.089001079,1 +157069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.975056239,1 +157073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.599768183,1 +157070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.469128681,1 +157072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.267892975,1 +157074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.093901637,1 +157075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.782462767,1 +157076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.879594285,1 +157077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.564327441,1 +157078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.216812025,1 +157079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.645944034,1 +157080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.337896241,1 +157081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.70320616,1 +157082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.590293882,1 +157084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.657347072,1 +157085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.528441351,1 +157083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.79708903,1 +157086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.200366666,1 +157087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,9.657288656,1 +157089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.791213887,1 +157088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.959558083,1 +157091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.444233631,1 +157090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.380502317,1 +157092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.526486492,1 +157093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.271696016,1 +157094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.415550204,1 +157096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.603726335,1 +157095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,7.019256419,1 +157097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.090879681,1 +157099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.726039866,1 +157100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.310427615,1 +157101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.991786771,1 +157098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.65485593,1 +157102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.092839539,1 +157103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.085640874,1 +157105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.152268525,1 +157106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.153820281,1 +157107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.818807876,1 +157104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.444311147,1 +157108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.326271596,1 +157110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,8.670569956,1 +157109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.686738481,1 +157112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.544235307,1 +157111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.328933781,1 +157113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.445467658,1 +157114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,7.216294418,1 +157116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.329938647,1 +157117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.769707877,1 +157115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.094019059,1 +157118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.434679761,1 +157119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.900128354,1 +157120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.393361725,1 +157122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.852202437,1 +157121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.89887585,1 +157124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.035431282,1 +157125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.007774775,1 +157126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.366440921,1 +157123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.924796936,1 +157127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.821982781,1 +157129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.578805813,1 +157128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.908962963,1 +157131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.257503281,1 +157133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.456893184,1 +157130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.954838499,1 +157132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.123571836,1 +157134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.91183866,1 +157135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.563998627,1 +157136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.381890516,1 +157137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.708293023,1 +157138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.936086102,1 +157139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.152861263,1 +157142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.95514867,1 +157141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.053594211,1 +157143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.280732795,1 +157145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.612872743,1 +157144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.528645766,1 +157140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.132068073,1 +157146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.017405964,1 +157148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.528857687,1 +157147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.067475947,1 +157149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.27771571,1 +157150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.97899938,1 +157153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.093986999,1 +157152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.902108122,1 +157151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.81839958,1 +157154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.644921931,1 +157155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.447304817,1 +157156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.013543252,1 +157158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.831487941,1 +157157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.171455447,1 +157160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.957269541,1 +157159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.422942827,1 +157162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.09897201,1 +157161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.191620042,1 +157164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.538609782,1 +157163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.680064633,1 +157165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.619434887,1 +157167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.931308138,1 +157166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.807991562,1 +157168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.798705776,1 +157169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.122730801,1 +157172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.936298694,1 +157170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.892695803,1 +157171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.071733578,1 +157173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.828275772,1 +157174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.603300702,1 +157175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.439652955,1 +157176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.493739625,1 +157178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.091903872,1 +157179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.638234618,1 +157180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.491927235,1 +157177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.263841798,1 +157181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.304222047,1 +157182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.929729361,1 +157183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.885115445,1 +157185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.107345478,1 +157184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.763800865,1 +157187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.873771398,1 +157186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.407269013,1 +157188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.600753945,1 +157189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.902116679,1 +157191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.038720198,1 +157190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.111437436,1 +157192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.88877355,1 +157195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.666493402,1 +157193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.271121762,1 +157196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.276545372,1 +157194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.69545527,1 +157197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.598434705,1 +157199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.892565615,1 +157198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.411724968,1 +157201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.543064452,1 +157200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.376914228,1 +157202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.580868804,1 +157204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.978575796,1 +157205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.723739566,1 +157206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.992619557,1 +157203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.356258672,1 +157208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.770515723,1 +157207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.88993718,1 +157210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.873190799,1 +157211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.613409829,1 +157209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.992130929,1 +157212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.548730035,1 +157215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.399329373,1 +157214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.771683405,1 +157216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.530303291,1 +157217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.840326261,1 +157213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.751076855,1 +157218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.832610824,1 +157219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.565782701,1 +157220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.909782013,1 +157222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.910116759,1 +157221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.233712502,1 +157223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.851513885,1 +157225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.203943475,1 +157224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.460891905,1 +157226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.24271068,1 +157227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.862870848,1 +157229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.842231146,1 +157230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.323709948,1 +157231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.655492935,1 +157232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.143200627,1 +157228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.50325251,1 +157234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.146364756,1 +157235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,7.577543377,1 +157236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.762152804,1 +157233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.231167015,1 +157239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.610095061,1 +157238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.002924937,1 +157240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.173223525,1 +157237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.778869011,1 +157241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.419361354,1 +157242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,0.275888419,1 +157243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.639683962,1 +157245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,8.41721002,1 +157246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.187959219,1 +157247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.127485262,1 +157248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.856831755,1 +157244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.414051723,1 +157249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.182626534,1 +157251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.270584473,1 +157252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.496739996,1 +157254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.402581115,1 +157253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.454917363,1 +157250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.999004672,1 +157255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.568650167,1 +157256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.982538887,1 +157257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.398721362,1 +157259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.819217915,1 +157258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.778074805,1 +157260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.369017858,1 +157261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.051507245,1 +157263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.717542447,1 +157264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.10042041,1 +157265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.965309527,1 +157262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.559401075,1 +157268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.287118459,1 +157266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.32879532,1 +157269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.082259221,1 +157267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.773001438,1 +157271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.361327151,1 +157272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.34094002,1 +157270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.196228122,1 +157273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.225661867,1 +157274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.901447917,1 +157275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.752226497,1 +157276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.555449425,1 +157277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.885037477,1 +157280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.412493885,1 +157278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.687267896,1 +157281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.575297646,1 +157279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.386413071,1 +157282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.141679167,1 +157283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.078137733,1 +157285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,8.474890284,1 +157286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.53252281,1 +157284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.712075205,1 +157287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.998757115,1 +157288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.431595929,1 +157289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.098524768,1 +157290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.013123505,1 +157292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.259371805,1 +157291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.732167852,1 +157294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.884997905,1 +157293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.409293434,1 +157298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.066317841,1 +157297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.150949934,1 +157295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.889582993,1 +157296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,7.91824539,1 +157300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.288670989,1 +157299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.228355917,1 +157301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.031717966,1 +157302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.542919256,1 +157304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.435861643,1 +157305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.613468656,1 +157303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,10.44099813,1 +157308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.875038586,1 +157306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.948931035,1 +157307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.824668298,1 +157309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.318590989,1 +157312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.958670314,1 +157311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.079055606,1 +157313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.550356662,1 +157310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.370476466,1 +157314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.980865794,1 +157315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.200781412,1 +157316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.410821475,1 +157317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.157023252,1 +157318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.433492468,1 +157319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.529933189,1 +157320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.545707377,1 +157321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.730481641,1 +157322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.579965581,1 +157324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.6451774,1 +157325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.4478354,1 +157323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.068982997,1 +157326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.967895817,1 +157327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.724843099,1 +157329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.527619698,1 +157328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.337018352,1 +157330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.466400082,1 +157331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,7.174134816,1 +157333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.494774591,1 +157334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.782819459,1 +157335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.547103537,1 +157332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.025332389,1 +157336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.619536033,1 +157337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.205135559,1 +157338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.168261893,1 +157340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.711649626,1 +157339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.643732903,1 +157341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.565114225,1 +157342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.565454131,1 +157343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.578620686,1 +157344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.688026566,1 +157345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.343414272,1 +157346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.273429138,1 +157347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.595654569,1 +157348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.956664814,1 +157349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.899110347,1 +157350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.651716153,1 +157351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.952577458,1 +157353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.70138218,1 +157354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.184586533,1 +157355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.705953514,1 +157356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.70830443,1 +157352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.051621676,1 +157357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.677138891,1 +157358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.91972594,1 +157359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.391497895,1 +157360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.498681677,1 +157362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.701687574,1 +157361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.911442809,1 +157363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.660892564,1 +157364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.952679869,1 +157365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.630550533,1 +157366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.205272869,1 +157367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.106886186,1 +157369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.266281435,1 +157370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.488165295,1 +157371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.554845561,1 +157372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.896077396,1 +157373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.213338765,1 +157368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.72297015,1 +157374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.385455869,1 +157377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.824072695,1 +157375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.222381777,1 +157376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.999890764,1 +157378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.026129979,1 +157379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.119524724,1 +157380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.018118479,1 +157381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.473459259,1 +157382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.283787883,1 +157384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.140535234,1 +157383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.803647107,1 +157385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.973506072,1 +157386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.558439026,1 +157387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.54224677,1 +157389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.902506039,1 +157388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.452520961,1 +157391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.573558462,1 +157392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.200333622,1 +157390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.392007437,1 +157393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.333722433,1 +157395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.122682585,1 +157394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.973665992,1 +157396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.299964737,1 +157397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.649339714,1 +157398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.953818395,1 +157399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.559261049,1 +157400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.314451476,1 +157401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.862301478,1 +157402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.086187255,1 +157403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.491907931,1 +157406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.849999316,1 +157404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,7.556553312,1 +157407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.294164533,1 +157405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.877478243,1 +157408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.244424118,1 +157410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.397891195,1 +157409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.209312064,1 +157411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.825177795,1 +157412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.232577585,1 +157413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,8.109106178,1 +157415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.894409373,1 +157416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.040398185,1 +157414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.469112935,1 +157417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.373859261,1 +157418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.459004822,1 +157419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.976087307,1 +157420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.227281025,1 +157421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.117179072,1 +157423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.600427113,1 +157424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.604876516,1 +157422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.140724793,1 +157426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.614980062,1 +157425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.972915859,1 +157428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.707740951,1 +157427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.352052797,1 +157429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.079762732,1 +157430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.605462992,1 +157431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.233064447,1 +157433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.939475296,1 +157434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.196638758,1 +157432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.905425365,1 +157435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.902151605,1 +157438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.422685144,1 +157436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.404092978,1 +157437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.027627736,1 +157439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.64293291,1 +157440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.303867759,1 +157441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.860158633,1 +157442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.438156634,1 +157444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.396486354,1 +157443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.750036716,1 +157445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.258915404,1 +157446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.420046422,1 +157449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.755090496,1 +157450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.036253289,1 +157448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.198912722,1 +157447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.509991488,1 +157453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,7.665068345,1 +157454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.925218439,1 +157451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.267975256,1 +157452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.03507365,1 +157455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.570948494,1 +157457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.660196076,1 +157456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.357860367,1 +157458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.321353022,1 +157460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.907868888,1 +157461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.712640261,1 +157462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.233582982,1 +157459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.940147776,1 +157463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.505845412,1 +157465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.722551381,1 +157466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.336070157,1 +157464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.575357084,1 +157467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.198244614,1 +157468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.353250869,1 +157470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.370909916,1 +157471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.06991167,1 +157472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.023434811,1 +157473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.069885376,1 +157469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.90908158,1 +157474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.175651679,1 +157475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.078702763,1 +157476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.414795856,1 +157478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.923023792,1 +157479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.188891207,1 +157477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.43882286,1 +157480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.006828635,1 +157481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.179710491,1 +157482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.760214555,1 +157483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.665533279,1 +157484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.99653378,1 +157485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.083473036,1 +157486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,7.128220898,1 +157488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.57422829,1 +157487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.776352201,1 +157489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.456848357,1 +157491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.567927514,1 +157490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.85667013,1 +157493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.728553519,1 +157495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.077261165,1 +157496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.255073741,1 +157494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.740912631,1 +157492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.449477874,1 +157499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.40484567,1 +157498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.658898392,1 +157497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.791038532,1 +157500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.394170679,1 +157501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.522856256,1 +157502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.447357008,1 +157503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.420912371,1 +157504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.751633033,1 +157505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.535174718,1 +157507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.18785007,1 +157506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.643241612,1 +157511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.048343172,1 +157510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.472018978,1 +157509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.824929783,1 +157508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.30941071,1 +157513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.742476463,1 +157514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.705127086,1 +157515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.910417427,1 +157512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.832562354,1 +157517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.16990557,1 +157516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.754480762,1 +157518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.849341169,1 +157519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.117560486,1 +157520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.968579828,1 +157521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.329527771,1 +157522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.888016348,1 +157523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.155601761,1 +157525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.493234432,1 +157527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.532887051,1 +157524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.465151668,1 +157526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.305282377,1 +157528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.162826844,1 +157529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.514989708,1 +157530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.698446573,1 +157532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.333153701,1 +157531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.984852329,1 +157533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.690041443,1 +157534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.0251687,1 +157535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.60442604,1 +157536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.060097708,1 +157538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.762669185,1 +157537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.967309479,1 +157539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,8.266312992,1 +157541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.143181969,1 +157542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.546831806,1 +157540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.347617003,1 +157543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.892354426,1 +157544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.662683895,1 +157546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.666199604,1 +157547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.526507499,1 +157548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.573695839,1 +157545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.231889645,1 +157550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.958447221,1 +157549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.393802613,1 +157551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.038843964,1 +157553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.615467074,1 +157554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.467536483,1 +157555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.692797456,1 +157552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.585055524,1 +157559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.510677041,1 +157558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.821716131,1 +157556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.636157922,1 +157557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.968746116,1 +157560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.415177807,1 +157561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.850493935,1 +157562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.710217514,1 +157563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.5842757,1 +157565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.459853,1 +157566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.115036442,1 +157564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.129771406,1 +157567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.94183255,1 +157568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.771332961,1 +157569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.982022158,1 +157571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.314378344,1 +157570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.866007764,1 +157573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.962977362,1 +157572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.926436698,1 +157575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.931841768,1 +157577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.893851757,1 +157576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.272905902,1 +157574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.694685725,1 +157578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.936174779,1 +157579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.758264982,1 +157580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.708110523,1 +157581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.836810259,1 +157582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.863801576,1 +157583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.197849276,1 +157584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.284282137,1 +157585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.721879196,1 +157588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.157681523,1 +157586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.515608882,1 +157589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.438532833,1 +157587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.708545952,1 +157590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.36648652,1 +157591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.648367362,1 +157592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.865785292,1 +157593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,8.55043006,1 +157594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.872677215,1 +157595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.213278761,1 +157596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.835881944,1 +157597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.788487141,1 +157598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.670982799,1 +157599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.215486318,1 +157601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.324234879,1 +157602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.476555882,1 +157600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.093767078,1 +157603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.84049408,1 +157605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.180955149,1 +157604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.680598813,1 +157606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.335402894,1 +157607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.101226258,1 +157608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,8.031669003,1 +157609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.58268059,1 +157610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.258666693,1 +157611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.255665285,1 +157612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.991306046,1 +157613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.317452075,1 +157615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,9.867172917,1 +157616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.796429847,1 +157614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.239429692,1 +157617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.811156799,1 +157620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.069663346,1 +157619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.24435488,1 +157618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.132207638,1 +157621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.122845021,1 +157624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.205706263,1 +157623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.184800952,1 +157622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.935848813,1 +157625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.272631692,1 +157626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.704691833,1 +157627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.598250597,1 +157629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.922027291,1 +157630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.563527269,1 +157631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.863899473,1 +157628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.47543852,1 +157632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.996036706,1 +157633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.18207818,1 +157635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.6049799,1 +157634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.562952687,1 +157636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.012032806,1 +157637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.97421644,1 +157638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.969628219,1 +157639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.473099654,1 +157640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.99468899,1 +157641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.554751504,1 +157643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,7.515458612,1 +157644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.263654338,1 +157645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.781822289,1 +157646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.765462158,1 +157642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.25642291,1 +157647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.166417645,1 +157648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.485850352,1 +157649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.210478598,1 +157650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.975027978,1 +157651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.836635188,1 +157652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.964080503,1 +157653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.17293469,1 +157655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.691832141,1 +157654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.741029485,1 +157656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.372664903,1 +157657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.743840888,1 +157658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.85491703,1 +157659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.349014852,1 +157660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,8.560536287,1 +157661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.567507969,1 +157662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.43270233,1 +157664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.789186482,1 +157665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.007958389,1 +157666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.29715978,1 +157668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.407731691,1 +157667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.260995786,1 +157663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.842604694,1 +157671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.472249619,1 +157669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.075509053,1 +157670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.474515054,1 +157672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,7.95779765,1 +157673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.056568647,1 +157674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.704511193,1 +157675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.593016801,1 +157676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.575570576,1 +157677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.210235877,1 +157678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.660515558,1 +157679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.112168343,1 +157680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.656229463,1 +157683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.959025612,1 +157682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.905097468,1 +157681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.965317992,1 +157685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.175577395,1 +157684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.951683009,1 +157686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.949663907,1 +157687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.336113383,1 +157688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.267766593,1 +157689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.431974696,1 +157690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.334006432,1 +157691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.842588301,1 +157692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.904881573,1 +157693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.489338037,1 +157694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.481922763,1 +157695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.174658419,1 +157696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.980026519,1 +157698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.343635639,1 +157697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.753675676,1 +157700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.474829853,1 +157699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.735863872,1 +157701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.798026088,1 +157702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.114763008,1 +157703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.32857557,1 +157705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.396146353,1 +157704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.25357554,1 +157706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.933979273,1 +157707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.154643441,1 +157708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.544788529,1 +157710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.967801997,1 +157709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.956354235,1 +157711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.507546562,1 +157712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,7.397819931,1 +157714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.560460922,1 +157715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.216148257,1 +157713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.112154222,1 +157717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.25783055,1 +157716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.152005055,1 +157718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.332558361,1 +157719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.340080518,1 +157720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.327233898,1 +157721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.490506644,1 +157722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.260413503,1 +157723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.958686087,1 +157725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.420721064,1 +157724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,7.841050775,1 +157726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.829961575,1 +157729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.033560014,1 +157727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.248823224,1 +157728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.489643228,1 +157730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.172197435,1 +157731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.160941624,1 +157733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.004505647,1 +157732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.492447613,1 +157734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.739255346,1 +157735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.834600484,1 +157737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.089646675,1 +157736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.408415849,1 +157738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.837968408,1 +157741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.117036236,1 +157740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.665044517,1 +157742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.887799188,1 +157739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.609032482,1 +157743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.071259601,1 +157744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.786878223,1 +157747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.125314151,1 +157745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.977740484,1 +157748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.075659856,1 +157746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.890249637,1 +157750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.290189505,1 +157751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.986147582,1 +157749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.760788964,1 +157752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.375888727,1 +157754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.104324521,1 +157753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.799938034,1 +157755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.057214021,1 +157756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.495717576,1 +157757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.643401504,1 +157758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.642521031,1 +157760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.77457714,1 +157759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.242747205,1 +157761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.334781818,1 +157762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,7.931884797,1 +157763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.595822145,1 +157764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.429646089,1 +157765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.783788764,1 +157766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.389309612,1 +157767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.294250858,1 +157768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.698618398,1 +157769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.935731841,1 +157770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.286093164,1 +157771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.228880084,1 +157772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.536985935,1 +157773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.50689701,1 +157774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.631971071,1 +157776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.707073502,1 +157775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.742081751,1 +157777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.282920563,1 +157778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.050944684,1 +157779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.493550905,1 +157781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.423829252,1 +157782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.410511751,1 +157783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.408227352,1 +157780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.611892135,1 +157784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.650550489,1 +157786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.055087352,1 +157785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.705997632,1 +157787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.191753119,1 +157788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.909105118,1 +157789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.854884599,1 +157791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.294350129,1 +157790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.131655968,1 +157792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.829708582,1 +157793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.455570233,1 +157795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,10.6662034,1 +157796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.425597688,1 +157797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.035139028,1 +157794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.436856641,1 +157798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.934128717,1 +157799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.856902967,1 +157800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.76604682,1 +157801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.197999709,1 +157803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.036543229,1 +157804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.112126047,1 +157802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.924122339,1 +157805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.375661001,1 +157806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.477581407,1 +157807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.18765319,1 +157808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.030158029,1 +157809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.374066818,1 +157811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.314385792,1 +157810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.383517993,1 +157812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.450778672,1 +157814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.568423813,1 +157815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.390582196,1 +157813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.507829344,1 +157816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.029174657,1 +157818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.38838008,1 +157817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.241191595,1 +157819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,8.506710246,1 +157820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,0.972547293,1 +157821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.245426246,1 +157822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.638479595,1 +157823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.0472834,1 +157824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.885139128,1 +157825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.728617713,1 +157826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.631410721,1 +157827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.219122745,1 +157828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.445410672,1 +157830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.086194631,1 +157829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.798566368,1 +157833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.881759729,1 +157831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.3832652,1 +157832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.826509688,1 +157834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.451868134,1 +157835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.721809691,1 +157836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.613843303,1 +157837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.63672016,1 +157838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,7.460247995,1 +157839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.156117846,1 +157840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.259563821,1 +157841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.559400266,1 +157842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.764343627,1 +157843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.983852122,1 +157845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.977871675,1 +157844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.089915145,1 +157846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.961033907,1 +157847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.910281646,1 +157848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.667268989,1 +157849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.094242866,1 +157850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,7.116240398,1 +157852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.073984101,1 +157851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.466822973,1 +157854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.196717942,1 +157856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.263203771,1 +157855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,8.283454622,1 +157857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.070371753,1 +157858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.718869593,1 +157859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.511388668,1 +157860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.693534177,1 +157853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.334669948,1 +157861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.144160915,1 +157862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.577563974,1 +157863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.1522682,1 +157866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.423696226,1 +157864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.118726047,1 +157865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.89448394,1 +157867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.996850857,1 +157868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.088701296,1 +157869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.437493037,1 +157871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.469428329,1 +157870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.163396174,1 +157872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.418701545,1 +157873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.187470384,1 +157874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.620000379,1 +157876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.866240297,1 +157877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.940924074,1 +157878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.097780626,1 +157875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.99841122,1 +157880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,9.720464826,1 +157879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.813991641,1 +157881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.210888439,1 +157882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.678262984,1 +157883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.295819705,1 +157884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.726478352,1 +157885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,0.944543095,1 +157886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.905133267,1 +157887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.31476094,1 +157888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.90114968,1 +157889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.624934671,1 +157890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.53633828,1 +157891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.056840057,1 +157892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.237665342,1 +157893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.215216244,1 +157895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.039317624,1 +157894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.367924917,1 +157897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.507586139,1 +157896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.015142721,1 +157898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.658780958,1 +157899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.825666475,1 +157901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.316693006,1 +157900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.162167668,1 +157902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.890793296,1 +157904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.386071908,1 +157903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.536011238,1 +157905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.221533821,1 +157906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.313902337,1 +157907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.744876437,1 +157909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.469737362,1 +157908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.074977389,1 +157910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.35659604,1 +157911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.835439703,1 +157912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.652924812,1 +157913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.559424751,1 +157914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.329585234,1 +157915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.922526343,1 +157917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.731723775,1 +157918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.988920784,1 +157919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.504232516,1 +157916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.929521162,1 +157921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.212509754,1 +157922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.870830178,1 +157920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.544620262,1 +157923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.200839233,1 +157924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.186915395,1 +157926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.767905941,1 +157925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.28182235,1 +157927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.853148621,1 +157928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.748833468,1 +157929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.476731023,1 +157930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.698783562,1 +157931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.890508247,1 +157932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.614192311,1 +157934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.821782451,1 +157933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.892024781,1 +157936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.534285519,1 +157937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.048755311,1 +157938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.539984309,1 +157935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.437768978,1 +157939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.039191316,1 +157940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.761022517,1 +157941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.859639258,1 +157942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.829087464,1 +157943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.945394496,1 +157946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.629394021,1 +157944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.176074366,1 +157945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.472885927,1 +157947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.282072676,1 +157949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.680740941,1 +157948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.462289097,1 +157950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.681163772,1 +157951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.133529896,1 +157952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.020347213,1 +157954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.35611869,1 +157955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.910946643,1 +157953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.416765289,1 +157956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.351728667,1 +157957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.948923408,1 +157958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.070319364,1 +157959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.386221031,1 +157960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,6.66476244,1 +157962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.796456834,1 +157963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,7.702160754,1 +157961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.331425287,1 +157964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.928341103,1 +157965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.211772327,1 +157966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.048757676,1 +157967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.304814415,1 +157968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.399119823,1 +157969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.085110583,1 +157971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.344536773,1 +157970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.098153955,1 +157972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.122412555,1 +157973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.980979304,1 +157975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.344881048,1 +157976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.460229201,1 +157977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.727200595,1 +157978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.06042351,1 +157979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.380772714,1 +157974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.427277871,1 +157980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,5.330667134,1 +157981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.893839261,1 +157982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.500898772,1 +157983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.889234655,1 +157984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.276136169,1 +157985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.573655235,1 +157986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.419161905,1 +157987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.924210832,1 +157988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.799019077,1 +157989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.547997206,1 +157990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.010107363,1 +157992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.267085071,1 +157993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.633943827,1 +157994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.705517512,1 +157996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.315252698,1 +157995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.017208987,1 +157997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.082876373,1 +157991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,4.17161399,1 +157999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,1.255995929,1 +157998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,3.392577757,1 +158000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,8,1,2.668471574,1 +167002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.621162559,1 +167003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.247268167,1 +167004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.042549722,1 +167001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.552294178,1 +167005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.033608625,1 +167006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.740644541,1 +167007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.28682853,1 +167008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.744574224,1 +167009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.616025857,1 +167010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.850164661,1 +167011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,7.448900326,1 +167012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.194044113,1 +167013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.108468615,1 +167014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.567727875,1 +167016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.228412155,1 +167015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.388635298,1 +167017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.122930092,1 +167018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.762398499,1 +167020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.417430695,1 +167019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.908263196,1 +167021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.674043448,1 +167022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.154237054,1 +167023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.764433987,1 +167025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.370274886,1 +167024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.716688789,1 +167026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.387449497,1 +167027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.582191337,1 +167028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.140207862,1 +167030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.372178267,1 +167029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.799730549,1 +167031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.259362883,1 +167034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.916390553,1 +167033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.074827337,1 +167032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.0373493,1 +167035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.209517684,1 +167038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.56312021,1 +167037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.103803411,1 +167039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.966904321,1 +167040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.54108452,1 +167041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.684569618,1 +167042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.679046169,1 +167036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.709606345,1 +167043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,7.612169936,1 +167044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.699695751,1 +167046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.709383939,1 +167045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.284962725,1 +167047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,7.275994455,1 +167049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.510004449,1 +167050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.244591396,1 +167048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.363315583,1 +167051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.255257033,1 +167053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.756446905,1 +167054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.700342785,1 +167055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.47325156,1 +167052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.762964085,1 +167056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.203430469,1 +167057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.158846796,1 +167058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.230664432,1 +167060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.646386851,1 +167059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.658390799,1 +167061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.833488627,1 +167062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,8.017845753,1 +167064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.972331016,1 +167063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.652524319,1 +167065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.87988934,1 +167066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.867058191,1 +167067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.995839416,1 +167068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.950256345,1 +167070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.53722557,1 +167069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.247075245,1 +167071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.862317748,1 +167072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.227883087,1 +167073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.030666807,1 +167074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.701675978,1 +167076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.404725153,1 +167077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.958561983,1 +167078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,7.352345172,1 +167075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.642346223,1 +167080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.394008012,1 +167079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.335908637,1 +167082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.04714523,1 +167083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.958886439,1 +167084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.815352458,1 +167085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.065942896,1 +167086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.537916481,1 +167087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.256149821,1 +167081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.978043588,1 +167088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.600781133,1 +167089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.566730503,1 +167090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,8.30711328,1 +167091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.240792323,1 +167092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,0.884266994,1 +167093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.111804428,1 +167094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.813908393,1 +167095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.534263229,1 +167096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.911517523,1 +167097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.070456637,1 +167098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.004164159,1 +167099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.21690043,1 +167100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.605795337,1 +167101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.514076416,1 +167102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.904785655,1 +167104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.697108273,1 +167105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.666148054,1 +167106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.231212428,1 +167108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.8400777,1 +167107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.789100821,1 +167103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.848400387,1 +167109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.445861737,1 +167110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,8.392756625,1 +167111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.762518416,1 +167112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.713778192,1 +167113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.991418324,1 +167114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.341808627,1 +167115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.303223551,1 +167116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.796472432,1 +167117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.776329879,1 +167118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.87420006,1 +167119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.354882929,1 +167121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.6757154,1 +167122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.666829961,1 +167123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.059787345,1 +167120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.586296696,1 +167124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.86081445,1 +167125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.575520365,1 +167126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.225364652,1 +167127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,8.19338576,1 +167128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.271005452,1 +167129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.440787634,1 +167130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.701017865,1 +167131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.448389763,1 +167133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.986138334,1 +167132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.118014431,1 +167134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.506604257,1 +167135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.374750587,1 +167137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.368482972,1 +167136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.688028733,1 +167138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.255981028,1 +167141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.066988339,1 +167140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.425974108,1 +167139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.624239256,1 +167142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.250378539,1 +167143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.691718685,1 +167144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.54069068,1 +167145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.502463255,1 +167146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.34523967,1 +167147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.846019125,1 +167148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.131578009,1 +167149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.732918448,1 +167150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.146706021,1 +167152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.221978661,1 +167151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.848004713,1 +167154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.923780629,1 +167155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.556600158,1 +167153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.045555988,1 +167156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.924527029,1 +167157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.978374312,1 +167160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,7.584206919,1 +167158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.553155342,1 +167159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.694433573,1 +167161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.81321383,1 +167162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.559448784,1 +167163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.106974825,1 +167164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.220451489,1 +167165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.296439552,1 +167166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.939863344,1 +167167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.416920465,1 +167168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,7.007612758,1 +167171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.31998908,1 +167170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.928363516,1 +167169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.4245703,1 +167172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.238174995,1 +167173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.088038018,1 +167174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.085641078,1 +167175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.48581391,1 +167177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.902078495,1 +167176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.238450333,1 +167178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.485009355,1 +167179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.962040564,1 +167180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.695025649,1 +167182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.208387064,1 +167181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.005911196,1 +167183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.433051824,1 +167184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.619864347,1 +167187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.182469907,1 +167186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.210625261,1 +167185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.911116641,1 +167188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.326913726,1 +167191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.422082975,1 +167189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.200625458,1 +167190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.048108396,1 +167192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.830756924,1 +167194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.3177526,1 +167193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.891730471,1 +167195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.821628936,1 +167196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.158740512,1 +167197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.954283679,1 +167198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.453313076,1 +167200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,8.787089629,1 +167201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.835848619,1 +167202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.258813308,1 +167199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.548116402,1 +167203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.728869834,1 +167204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.55586182,1 +167206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.80087119,1 +167205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.199466701,1 +167207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.727214025,1 +167208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.023527241,1 +167211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.401502481,1 +167209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.875709982,1 +167212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.736789788,1 +167210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,0.92827608,1 +167214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.484561015,1 +167215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.690314258,1 +167213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.279002235,1 +167216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.951044714,1 +167218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.724692655,1 +167219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.467603131,1 +167217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.771093718,1 +167221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.392618438,1 +167222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.891959055,1 +167220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.990017082,1 +167224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.571743407,1 +167223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.228437157,1 +167225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,0.950041503,1 +167226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.753931434,1 +167228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,0.411036653,1 +167227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.444616969,1 +167229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.950225411,1 +167230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.425896224,1 +167231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.606595299,1 +167232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.110529463,1 +167233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.22884406,1 +167234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.837936175,1 +167236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.583480091,1 +167237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.159677448,1 +167238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.259767958,1 +167239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.479812849,1 +167235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.547395206,1 +167240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,7.037826835,1 +167242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,0.786880968,1 +167243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.289036891,1 +167241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.872393629,1 +167244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.090540145,1 +167246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.310625784,1 +167247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.027088843,1 +167245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.634802519,1 +167248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,8.236483909,1 +167249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.214954656,1 +167250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.038418166,1 +167251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.272811639,1 +167252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.156963758,1 +167255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.695906575,1 +167254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.076074091,1 +167256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.401373594,1 +167257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.692885231,1 +167253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.07750907,1 +167259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.461896478,1 +167258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.446538696,1 +167261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.70389542,1 +167260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.471032535,1 +167263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.314087147,1 +167262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.440213534,1 +167264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.765467216,1 +167265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.436866305,1 +167266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.590590501,1 +167267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.6054791,1 +167269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.947406866,1 +167268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,9.66575789,1 +167270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.72024189,1 +167271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.640919963,1 +167272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.774993696,1 +167275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.31405457,1 +167273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.28036358,1 +167274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.616028886,1 +167276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.664559479,1 +167278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,8.355165832,1 +167277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.239801916,1 +167279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.137141339,1 +167280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.493350071,1 +167282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.556494095,1 +167281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.932264331,1 +167284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.999504205,1 +167283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.430755068,1 +167285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.211771446,1 +167287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.543775707,1 +167288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.98530505,1 +167289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.462130307,1 +167286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.903334247,1 +167291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.450118088,1 +167290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.111773157,1 +167293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.15312579,1 +167292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.735841929,1 +167294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.846087851,1 +167295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.014423099,1 +167297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.340884079,1 +167296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.705497958,1 +167299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.695646143,1 +167298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.083527528,1 +167300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.4237678,1 +167301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.126216468,1 +167302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.871944216,1 +167303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.189064308,1 +167304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,8.988594591,1 +167306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.345948211,1 +167307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,7.034526635,1 +167305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.41117088,1 +167308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.914328591,1 +167309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.84755203,1 +167310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.515785634,1 +167311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.854628679,1 +167312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,7.620064755,1 +167313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.246565114,1 +167314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.89788472,1 +167315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,8.051756692,1 +167316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.854391656,1 +167317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.463583954,1 +167318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.047503969,1 +167320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.936097329,1 +167319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.529808699,1 +167322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.785113165,1 +167321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.560463601,1 +167323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.403403745,1 +167324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,7.857296254,1 +167325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.834878761,1 +167326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.802402235,1 +167327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.814091528,1 +167328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.182815924,1 +167329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.617997891,1 +167330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,7.430484187,1 +167331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.58018765,1 +167332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.415151745,1 +167333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,7.68479502,1 +167334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.396182917,1 +167335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.541685299,1 +167337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.680835384,1 +167338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.550517096,1 +167339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.114346556,1 +167336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.117252884,1 +167340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.912777076,1 +167342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.046186814,1 +167344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.896567571,1 +167341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.27424463,1 +167345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.665097507,1 +167343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.641754922,1 +167347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.649019125,1 +167346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.225768291,1 +167348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.476271607,1 +167350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.528368282,1 +167351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.523548073,1 +167349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.650298503,1 +167353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.492570985,1 +167352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.799881602,1 +167354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.317225463,1 +167355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.284288514,1 +167357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,9.234288868,1 +167359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.726028168,1 +167360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.103515644,1 +167356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.287927523,1 +167361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.942436235,1 +167358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.306603488,1 +167362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.942405816,1 +167363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.801916442,1 +167364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.010523741,1 +167366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.493286499,1 +167367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.202510357,1 +167365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.901322438,1 +167368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.832274388,1 +167370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.261877573,1 +167369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.458564837,1 +167371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.225189429,1 +167372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.011841331,1 +167374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.270884547,1 +167373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.598533379,1 +167375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.489341566,1 +167376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,12.06555437,1 +167377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.208991973,1 +167380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.805917238,1 +167378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.217060947,1 +167381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.4599198,1 +167379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,7.060756673,1 +167383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.758916441,1 +167382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.973674829,1 +167385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.840236067,1 +167386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.066827184,1 +167384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.771434195,1 +167387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.784768583,1 +167388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.16324437,1 +167390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.409544823,1 +167389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.145966166,1 +167391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.937471971,1 +167392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.715481859,1 +167393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.350273458,1 +167395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.890645043,1 +167394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,7.837473932,1 +167397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.463915395,1 +167399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.300987333,1 +167398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.738000718,1 +167396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.688741882,1 +167400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.642568684,1 +167401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.73489622,1 +167402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,7.844767761,1 +167403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.916247413,1 +167404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.625094504,1 +167406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.481560605,1 +167408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.561630258,1 +167407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.406452202,1 +167405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.4662515,1 +167409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.671165174,1 +167410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,7.496407118,1 +167411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.339687082,1 +167412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.338025937,1 +167413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.794994418,1 +167414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.894291508,1 +167416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.972964785,1 +167415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.851414008,1 +167417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.149967677,1 +167418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,7.789610069,1 +167419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.699839492,1 +167420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.448380046,1 +167421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.182182116,1 +167422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.838046568,1 +167424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.604248146,1 +167425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.124630527,1 +167426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.313333355,1 +167423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.128256414,1 +167427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.830470099,1 +167428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.148208879,1 +167430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.278144531,1 +167429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.966215573,1 +167433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.134527183,1 +167431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.433978809,1 +167432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.141559452,1 +167434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.607728522,1 +167435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.52334663,1 +167437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.187135571,1 +167436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.494327594,1 +167438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.344882535,1 +167439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.068633671,1 +167440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.92505252,1 +167442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.04302974,1 +167441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,8.325727688,1 +167444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.796318431,1 +167445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.537501533,1 +167443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.600000108,1 +167446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.382466073,1 +167448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.436010982,1 +167447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.574365381,1 +167449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.966106935,1 +167450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.953046837,1 +167451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.295701215,1 +167452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.161450728,1 +167453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.932641753,1 +167454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.73671964,1 +167455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.448585622,1 +167456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.459877872,1 +167457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.630619825,1 +167458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.383744664,1 +167459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.999612605,1 +167460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,0.764657263,1 +167461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.603627676,1 +167463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.009919254,1 +167465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,8.347438849,1 +167464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.224495012,1 +167467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.779710523,1 +167466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.251697519,1 +167468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.868900282,1 +167462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.92287701,1 +167469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.800383925,1 +167470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.610518886,1 +167471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.395008924,1 +167472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.346458579,1 +167476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.710229851,1 +167474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.040914457,1 +167475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.970000843,1 +167473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.946499749,1 +167477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.092038819,1 +167478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.22631131,1 +167479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.554669396,1 +167480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.373653931,1 +167482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.434809286,1 +167484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.466389472,1 +167483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.164766625,1 +167485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.2231159,1 +167481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.733859744,1 +167486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.952708805,1 +167487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.392267304,1 +167490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.045390644,1 +167488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.305084362,1 +167489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.442815575,1 +167491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.153556978,1 +167492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.379273057,1 +167493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.03695776,1 +167494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.321873082,1 +167495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.781656505,1 +167496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.060788788,1 +167497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.292839235,1 +167498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,0.850161458,1 +167499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.287730505,1 +167501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,0.600790472,1 +167500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.729409323,1 +167503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.467227765,1 +167504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,9.58000446,1 +167505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.778271812,1 +167506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.878643626,1 +167502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.252585051,1 +167507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.052478026,1 +167508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.528085868,1 +167511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.508029399,1 +167512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.961177279,1 +167510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.632487241,1 +167513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.018282567,1 +167514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,7.086244515,1 +167515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.558496878,1 +167516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.685891534,1 +167509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.376419434,1 +167517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,9.46220649,1 +167520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.986156678,1 +167518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.892638659,1 +167519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.121646865,1 +167522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.385748987,1 +167521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.905171519,1 +167523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.152276858,1 +167524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.509243277,1 +167525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.423307862,1 +167526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.387927359,1 +167528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.194313602,1 +167527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,7.404415441,1 +167530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.011140498,1 +167531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.540691264,1 +167529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.511799038,1 +167532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.739360971,1 +167533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.099536595,1 +167535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.402401526,1 +167534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.163601967,1 +167536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.353024452,1 +167538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.54607415,1 +167537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.175219679,1 +167539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.622120137,1 +167540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.35764319,1 +167541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.059605149,1 +167543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.414701325,1 +167542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.401294349,1 +167544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.737349725,1 +167546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.144611771,1 +167547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.285393595,1 +167549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.031285381,1 +167545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.236153196,1 +167548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.408473649,1 +167550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.583819351,1 +167552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.137089221,1 +167551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.675080938,1 +167554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.479422138,1 +167553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.043550015,1 +167556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.2217735,1 +167557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.794526018,1 +167555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.386343991,1 +167558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.235093818,1 +167560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.321327969,1 +167559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.211859672,1 +167562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.337750033,1 +167561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.745313178,1 +167563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,7.132671854,1 +167564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.277031266,1 +167565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.934750364,1 +167566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.723868482,1 +167567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.852433813,1 +167569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.782363573,1 +167568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.187708962,1 +167570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.403046717,1 +167571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.413863303,1 +167573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.295631,1 +167572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.077619405,1 +167574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.172161287,1 +167575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,7.594030233,1 +167576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.043401458,1 +167577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.270584907,1 +167578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.564511421,1 +167579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,7.286824139,1 +167580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,8.169633172,1 +167583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.138315528,1 +167582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.230072606,1 +167584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.42904439,1 +167581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.320416983,1 +167586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.123741049,1 +167585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.102747167,1 +167587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.180403715,1 +167589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.025231092,1 +167590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.736541254,1 +167591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.567337795,1 +167588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.40076859,1 +167592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.746725832,1 +167593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.358352208,1 +167594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.463222098,1 +167595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,9.791148575,1 +167596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.343094129,1 +167597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.390949485,1 +167598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.225067705,1 +167599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,8.428045832,1 +167600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,8.177129504,1 +167602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.315583509,1 +167601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.315519265,1 +167604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.714710875,1 +167605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.485649786,1 +167606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.324698808,1 +167607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,8.513465654,1 +167603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.113085768,1 +167608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.462952326,1 +167609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.487475731,1 +167610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.886266193,1 +167611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.631624236,1 +167612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.946051076,1 +167613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.904331271,1 +167614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.443296874,1 +167615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.797219603,1 +167616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.28417695,1 +167618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.384905287,1 +167617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.31920353,1 +167619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.26084885,1 +167620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.784549804,1 +167623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.102565771,1 +167621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.697893925,1 +167622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.08294415,1 +167627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.986330255,1 +167626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.016789961,1 +167624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.543377595,1 +167625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.851345992,1 +167628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.170023823,1 +167630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.047344881,1 +167631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.293287593,1 +167629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.565070139,1 +167632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.403211701,1 +167635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.836512458,1 +167634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.766977954,1 +167633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.006875692,1 +167636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.49795943,1 +167637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.857011471,1 +167638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.077398125,1 +167639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,8.124280395,1 +167640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.789876234,1 +167642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,8.796843145,1 +167641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.782870144,1 +167643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.545418654,1 +167646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.414399911,1 +167645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,0.953193703,1 +167648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.84113341,1 +167647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.199389982,1 +167644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,7.819905837,1 +167649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.709976011,1 +167650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.453643877,1 +167653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.398363184,1 +167652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.334817336,1 +167651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.611842729,1 +167654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.954095258,1 +167655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.155486227,1 +167656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.291750138,1 +167657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.28703204,1 +167658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.90820035,1 +167659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.985854174,1 +167660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.833673843,1 +167661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.539822213,1 +167662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.802996924,1 +167663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.913012805,1 +167664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.549270441,1 +167665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.11188726,1 +167666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.751123258,1 +167667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,8.638583748,1 +167670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.358250326,1 +167669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.082253545,1 +167671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.80950136,1 +167668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.466561395,1 +167673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.307155522,1 +167672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.998740845,1 +167675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.215384746,1 +167674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,7.054605612,1 +167676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.46447799,1 +167677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.686120535,1 +167679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.912107748,1 +167678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.907211565,1 +167680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.032016701,1 +167682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.141507181,1 +167683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.381526925,1 +167681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.370875326,1 +167684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.660645057,1 +167685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.587371772,1 +167689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.819215626,1 +167687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.53907268,1 +167686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.885890696,1 +167688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.802265384,1 +167690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.004293006,1 +167692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.93893911,1 +167693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.704054928,1 +167695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.849507941,1 +167694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.580059876,1 +167696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.372574439,1 +167691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.708557783,1 +167698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.424597086,1 +167697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.4253447,1 +167699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.321854974,1 +167701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.480312777,1 +167700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.380761905,1 +167702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.000404082,1 +167705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.07330968,1 +167703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.562274478,1 +167704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.559546162,1 +167706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.011023058,1 +167707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.995495307,1 +167708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.954182278,1 +167710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.036863798,1 +167709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.404462605,1 +167712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.596174069,1 +167714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.781531759,1 +167713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.360280065,1 +167715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.020667574,1 +167716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.803596176,1 +167717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.374336055,1 +167718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.328619151,1 +167711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.530690887,1 +167719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.989486464,1 +167721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.80241109,1 +167722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.996268245,1 +167720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,10.30104156,1 +167723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.667809178,1 +167724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.036215549,1 +167726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.83659905,1 +167727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.473337011,1 +167725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.093638574,1 +167728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.914560191,1 +167729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.892446732,1 +167730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.199055849,1 +167733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.174114558,1 +167732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.24962481,1 +167734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.450552084,1 +167731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.017769286,1 +167736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.772126557,1 +167735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.215055799,1 +167737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.129281029,1 +167738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.713385356,1 +167739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.628963599,1 +167740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.10479051,1 +167741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.327116427,1 +167743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.447001674,1 +167742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.972432638,1 +167744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.341626028,1 +167745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.308163138,1 +167746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.537386416,1 +167748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.656041519,1 +167747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.78114145,1 +167749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.331961566,1 +167751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.994420302,1 +167750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.277774773,1 +167752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.5513382,1 +167753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.516923716,1 +167754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.457312687,1 +167755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,7.810280841,1 +167757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.815500675,1 +167756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.196574008,1 +167758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.623893059,1 +167759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.087594147,1 +167761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.847312903,1 +167760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.891386264,1 +167762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,7.999753798,1 +167763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.666077287,1 +167765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.54724253,1 +167764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.565582256,1 +167767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.127411075,1 +167766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.170816157,1 +167769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.335948076,1 +167770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.199241322,1 +167771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,7.034532979,1 +167768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.53420014,1 +167774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.977362917,1 +167772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.545525605,1 +167773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.046780246,1 +167778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.276069435,1 +167776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.357159589,1 +167775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.163840045,1 +167777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.460195769,1 +167779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.332037965,1 +167780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.887886396,1 +167781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.040539852,1 +167782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.000296619,1 +167784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,11.54253718,1 +167783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.547533922,1 +167785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,9.136091668,1 +167786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.551258965,1 +167787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.815049371,1 +167788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.318756757,1 +167791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.472899242,1 +167790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.103037424,1 +167792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,7.471314478,1 +167795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.833598603,1 +167789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.147874351,1 +167794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.289172711,1 +167793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,0.640678653,1 +167797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.328725874,1 +167798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.242261393,1 +167799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.248580357,1 +167796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.371475634,1 +167800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.06841131,1 +167801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.083235454,1 +167802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.883737057,1 +167803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.738419079,1 +167804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.221808999,1 +167805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.188756317,1 +167806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.067674046,1 +167807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.580501334,1 +167809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.615577359,1 +167811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.914040518,1 +167810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.455672876,1 +167808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.716778904,1 +167813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.894361247,1 +167814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.806334779,1 +167812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.526535122,1 +167815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.14705712,1 +167816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,7.132408554,1 +167817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.737395514,1 +167818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.029091571,1 +167820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,8.538481655,1 +167819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.28500317,1 +167821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.240376026,1 +167823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.148332985,1 +167824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.458092033,1 +167822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.904158144,1 +167825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.41760673,1 +167827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.210568401,1 +167826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.039158747,1 +167828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.264050023,1 +167830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.258142032,1 +167829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.716202827,1 +167831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.183207339,1 +167833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.616804599,1 +167834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.755910609,1 +167835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.834654345,1 +167836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.656685626,1 +167837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.51353941,1 +167838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.755537605,1 +167832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.576129223,1 +167840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.16838575,1 +167841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.499537521,1 +167839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.749357432,1 +167842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.622283115,1 +167844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.683771025,1 +167843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.542347034,1 +167845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.493989216,1 +167846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.305402622,1 +167848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.54471918,1 +167847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.826197443,1 +167849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.62618596,1 +167852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.858654697,1 +167851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.559130495,1 +167853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,9.537419638,1 +167850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.117586531,1 +167854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,8.392628719,1 +167855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.963489004,1 +167856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.718508639,1 +167857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.791086082,1 +167858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.098147757,1 +167859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,0.863248194,1 +167860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.466580312,1 +167861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.6675253,1 +167862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,11.48366705,1 +167863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.702040063,1 +167864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.225436508,1 +167865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.303718191,1 +167867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,7.816200968,1 +167866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.701647035,1 +167868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.849416868,1 +167872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.488073938,1 +167870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.320101227,1 +167869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.266138329,1 +167871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,8.236437936,1 +167874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.94930076,1 +167873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.143513654,1 +167876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.753977013,1 +167875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.682234189,1 +167877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,7.679973218,1 +167878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.95396377,1 +167879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.342706565,1 +167880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.52569184,1 +167881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.306016717,1 +167882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.947884624,1 +167883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.366748282,1 +167886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.518600468,1 +167885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.164714536,1 +167887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.803182437,1 +167884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.833914089,1 +167889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.35171285,1 +167888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.663019422,1 +167890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.005238476,1 +167891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.813712901,1 +167892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.654822836,1 +167893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.172232554,1 +167894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.166918312,1 +167895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.233261961,1 +167896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.396679345,1 +167897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.948042514,1 +167898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.665247631,1 +167900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.05491796,1 +167899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.957369976,1 +167901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,7.975032323,1 +167902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.012566412,1 +167903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.528990861,1 +167904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,7.551093376,1 +167905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.041656302,1 +167906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.595326775,1 +167907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.243929824,1 +167908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.719690245,1 +167910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.916873881,1 +167909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.052460013,1 +167911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.412468045,1 +167912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.513108166,1 +167913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.710197058,1 +167915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,9.471828856,1 +167914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.789108586,1 +167916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.910201181,1 +167919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.587034514,1 +167917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.912408031,1 +167918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.596553198,1 +167920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,11.27000894,1 +167923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,7.00386112,1 +167922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.039760945,1 +167924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.388861849,1 +167921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.685694967,1 +167926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.183175819,1 +167925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.811993583,1 +167927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.634773973,1 +167929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.825799598,1 +167930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.943575301,1 +167928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.108566355,1 +167931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.326747832,1 +167934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.16466945,1 +167932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.255075391,1 +167933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.173996398,1 +167935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,7.214285251,1 +167936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.442896845,1 +167937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.972632921,1 +167938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.894622431,1 +167939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.154520932,1 +167941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.055974509,1 +167942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.047207277,1 +167940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.863330264,1 +167943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.7178504,1 +167944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.027803361,1 +167945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.198958724,1 +167946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.52835526,1 +167947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.949930247,1 +167948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.964216155,1 +167949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.95858092,1 +167950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,7.423381767,1 +167951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.470265483,1 +167953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.495590735,1 +167952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.594539625,1 +167954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.586886576,1 +167955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.122184331,1 +167956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.053019141,1 +167957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.044191433,1 +167958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,7.350193105,1 +167960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.91499285,1 +167959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.786539305,1 +167961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.18151465,1 +167962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.367470368,1 +167963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.049258997,1 +167964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.724330201,1 +167965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.106491773,1 +167966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.310846881,1 +167967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.983019539,1 +167969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.119667173,1 +167970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.00102197,1 +167971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,0.582938832,1 +167968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.849184562,1 +167972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.862904414,1 +167973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.396003997,1 +167974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.145982995,1 +167976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.287306798,1 +167975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,9.144953905,1 +167978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.435649221,1 +167977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.861859102,1 +167980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.857093624,1 +167979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.549323745,1 +167981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,6.374505225,1 +167982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.884536093,1 +167985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.504246276,1 +167984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.992261044,1 +167986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.634239244,1 +167983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.164112798,1 +167987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.03408049,1 +167988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,4.040721777,1 +167989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.109077951,1 +167991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.773894267,1 +167992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.339233931,1 +167990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.127894928,1 +167993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.775457951,1 +167995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,2.953252519,1 +167996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.837221128,1 +167994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,5.918822697,1 +167997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,3.775262012,1 +167999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,7.008538557,1 +168000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,1.87584541,1 +167998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,8,1,0.699364693,1 +177001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.27272236,0.996 +177002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.825218296,0.996 +177003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,-0.070965395,0.996 +177004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.282081072,0.996 +177006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.235144154,0.996 +177007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.52460364,0.996 +177005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,0.269417875,0.996 +177008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.364027476,0.996 +177010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.202983342,0.996 +177009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.89492604,0.996 +177011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.07030188,0.996 +177012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,8.217058014,0.996 +177013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.341949906,0.996 +177014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.757999895,0.996 +177015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.870513318,0.996 +177016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.872785864,0.996 +177017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.475653863,0.996 +177018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.588148785,0.996 +177021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.671586778,0.996 +177020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.121731811,0.996 +177022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.468993348,0.996 +177019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.218011894,0.996 +177024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.135783993,0.996 +177025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.109781429,0.996 +177023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,12.49362768,0.996 +177026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.879606495,0.996 +177027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.120204991,0.996 +177028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.469663979,0.996 +177029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.790556457,0.996 +177030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,10.35494919,0.996 +177031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.430270983,0.996 +177032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.391675702,0.996 +177033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.475467959,0.996 +177036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.415544556,0.996 +177035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.31397501,0.996 +177037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.488070271,0.996 +177034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.708816885,0.996 +177038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.704655269,0.996 +177039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.308839818,0.996 +177041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.625127885,0.996 +177042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.432401557,0.996 +177040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.45208274,0.996 +177043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.104984771,0.996 +177044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.045176027,0.996 +177045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.651796352,0.996 +177046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.743164282,0.996 +177047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.025567481,0.996 +177048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.144596409,0.996 +177049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.878633979,0.996 +177050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.880500031,0.996 +177051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.395478888,0.996 +177054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,11.51592494,0.996 +177053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.505826691,0.996 +177055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.293231127,0.996 +177052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.187560337,0.996 +177056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.02968344,0.996 +177057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.241696557,0.996 +177058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.736456131,0.996 +177059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.171739156,0.996 +177060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,9.951607009,0.996 +177061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,0.711409129,0.996 +177062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.542305961,0.996 +177065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.20971474,0.996 +177064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,-0.215265275,0.996 +177063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.663378954,0.996 +177066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.994670684,0.996 +177068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.503671489,0.996 +177067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.146069361,0.996 +177069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.750753456,0.996 +177070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.345554766,0.996 +177071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.128648943,0.996 +177072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.731120939,0.996 +177075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.048315455,0.996 +177073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,0.409838071,0.996 +177074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.363394122,0.996 +177076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.95524102,0.996 +177077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.966135161,0.996 +177078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.231125757,0.996 +177079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.345153969,0.996 +177080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.491837487,0.996 +177081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,8.370335321,0.996 +177082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.720448069,0.996 +177083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.067828339,0.996 +177084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.318708437,0.996 +177085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.713027351,0.996 +177087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.438390442,0.996 +177086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.616623187,0.996 +177089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.257895735,0.996 +177090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.004379835,0.996 +177088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.096677759,0.996 +177092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.463260811,0.996 +177093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.581592275,0.996 +177091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.009924967,0.996 +177094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.467232249,0.996 +177095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.177965724,0.996 +177096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.632776287,0.996 +177098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.095702436,0.996 +177097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.0176241,0.996 +177099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.666066412,0.996 +177101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.797542021,0.996 +177100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.313802579,0.996 +177102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.445630793,0.996 +177103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.564211318,0.996 +177105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.288092492,0.996 +177104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.674202442,0.996 +177107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,10.15853898,0.996 +177108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.749528222,0.996 +177109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.950478393,0.996 +177106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.201509813,0.996 +177110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,8.426112467,0.996 +177111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.702488194,0.996 +177112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.175947715,0.996 +177113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,0.637007708,0.996 +177116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.684284504,0.996 +177115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.344681644,0.996 +177114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.859001309,0.996 +177117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.061949619,0.996 +177118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.591099492,0.996 +177119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.990358737,0.996 +177120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.195734229,0.996 +177121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.270679944,0.996 +177123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.979451488,0.996 +177124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.22837032,0.996 +177125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.208382125,0.996 +177126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.285346622,0.996 +177122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.458798885,0.996 +177127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,10.06142658,0.996 +177128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.360827397,0.996 +177130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.288617249,0.996 +177129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.62638188,0.996 +177131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.380444375,0.996 +177132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.763687996,0.996 +177133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.679618989,0.996 +177134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.90119709,0.996 +177135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,8.162040208,0.996 +177137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.28703777,0.996 +177136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.071691585,0.996 +177138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.38109992,0.996 +177139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.899423583,0.996 +177142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.950112186,0.996 +177140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.638321161,0.996 +177143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.252876834,0.996 +177145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,0.89441154,0.996 +177141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.080710251,0.996 +177144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.861437,0.996 +177147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.494875471,0.996 +177146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.618565013,0.996 +177148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.436146537,0.996 +177149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.29673607,0.996 +177150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,9.879059385,0.996 +177151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.964746561,0.996 +177152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.392175337,0.996 +177153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.386819554,0.996 +177155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,8.028361453,0.996 +177154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.785798079,0.996 +177157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.365662592,0.996 +177158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.853474953,0.996 +177159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.025674567,0.996 +177156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.745266559,0.996 +177162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.200815972,0.996 +177160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.435268107,0.996 +177161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.229809156,0.996 +177163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.792401094,0.996 +177164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.506196138,0.996 +177165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,0.974110324,0.996 +177167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,0.95056391,0.996 +177166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.900105355,0.996 +177169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,0.799816369,0.996 +177170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,0.704703166,0.996 +177171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,8.980804681,0.996 +177172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.364013873,0.996 +177168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.113793764,0.996 +177174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,0.173283475,0.996 +177176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.49249614,0.996 +177175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,8.402312846,0.996 +177173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.075324594,0.996 +177177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.483301251,0.996 +177178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.763446881,0.996 +177179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.440587278,0.996 +177180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.710364933,0.996 +177181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.175812337,0.996 +177182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.927111801,0.996 +177183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.056479926,0.996 +177185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.939310818,0.996 +177184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.662505723,0.996 +177187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.78868713,0.996 +177188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.487202733,0.996 +177186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.595986464,0.996 +177191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.800958847,0.996 +177192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.776689809,0.996 +177190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.107361031,0.996 +177189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.811111872,0.996 +177194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.290232003,0.996 +177193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.276678201,0.996 +177195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.227396876,0.996 +177196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,8.090670414,0.996 +177197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.568073155,0.996 +177198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.011868015,0.996 +177199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.61224289,0.996 +177200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.041048205,0.996 +177201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.548102282,0.996 +177202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.592619409,0.996 +177203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,0.708453676,0.996 +177204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.282584922,0.996 +177206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.793566723,0.996 +177207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.674415813,0.996 +177205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.533882406,0.996 +177209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,0.31561801,0.996 +177208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.385257121,0.996 +177210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.763780306,0.996 +177211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.943295118,0.996 +177212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.816099353,0.996 +177213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.609189215,0.996 +177214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.155535803,0.996 +177215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.338674405,0.996 +177216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.427049369,0.996 +177218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.215090855,0.996 +177217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,0.976138455,0.996 +177219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.766551273,0.996 +177220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.244203837,0.996 +177221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.522629146,0.996 +177223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.861792778,0.996 +177224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.175070508,0.996 +177226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.420768162,0.996 +177225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.370592614,0.996 +177227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.937625783,0.996 +177222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.470466791,0.996 +177229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.235462054,0.996 +177228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.142292376,0.996 +177230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,8.604607724,0.996 +177233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.022220796,0.996 +177232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.451238666,0.996 +177231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.41007981,0.996 +177234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,0.791606489,0.996 +177237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.521212774,0.996 +177235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.046441648,0.996 +177236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.751240605,0.996 +177238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.952615378,0.996 +177239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,8.887760261,0.996 +177240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.940942893,0.996 +177241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.874399665,0.996 +177242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.620302786,0.996 +177244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.89731314,0.996 +177245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.208721665,0.996 +177246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,8.941694741,0.996 +177247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.422634068,0.996 +177248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.432432086,0.996 +177243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.688998147,0.996 +177249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.110837056,0.996 +177253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.926780133,0.996 +177252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.154370394,0.996 +177251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.792920109,0.996 +177250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,8.123874638,0.996 +177255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.670259019,0.996 +177254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.605711175,0.996 +177256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.692753663,0.996 +177257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.930475258,0.996 +177258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.297845784,0.996 +177259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.139872881,0.996 +177260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.593890046,0.996 +177261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.749757292,0.996 +177263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.306413487,0.996 +177264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.076012031,0.996 +177265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.945257357,0.996 +177266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.926273151,0.996 +177262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.953427556,0.996 +177268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.306183649,0.996 +177267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.603292329,0.996 +177269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.160223425,0.996 +177271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.771802209,0.996 +177272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.722522755,0.996 +177270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.431978329,0.996 +177273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,9.818880337,0.996 +177275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.360306859,0.996 +177274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.837270041,0.996 +177276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.404289582,0.996 +177277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.417719946,0.996 +177278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.018149187,0.996 +177279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.260491875,0.996 +177281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.756899651,0.996 +177283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.600675333,0.996 +177280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.369532475,0.996 +177282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.79930557,0.996 +177284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.378175294,0.996 +177285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.125461916,0.996 +177286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.952616687,0.996 +177287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.350996345,0.996 +177288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,9.131365664,0.996 +177289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.663039604,0.996 +177290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.207458232,0.996 +177291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.335411061,0.996 +177292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,11.38157981,0.996 +177293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.012295345,0.996 +177294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.559106211,0.996 +177295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.410687716,0.996 +177296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.732666777,0.996 +177297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.825849983,0.996 +177299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,8.584480184,0.996 +177298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.010781772,0.996 +177300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.494021461,0.996 +177301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.399623824,0.996 +177302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.368301754,0.996 +177304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.578645856,0.996 +177303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.279229202,0.996 +177305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.583115008,0.996 +177306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.379721618,0.996 +177307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.118239366,0.996 +177308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,10.57394526,0.996 +177309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.576950287,0.996 +177310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.597703536,0.996 +177311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,12.21725262,0.996 +177312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.841582571,0.996 +177313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.673447367,0.996 +177314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.578053296,0.996 +177315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.107491363,0.996 +177317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.419511617,0.996 +177316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.590645088,0.996 +177318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.188979872,0.996 +177320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,0.969375109,0.996 +177319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.65246035,0.996 +177321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.897241825,0.996 +177322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.682365625,0.996 +177324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.056479021,0.996 +177323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.886116758,0.996 +177326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.04810559,0.996 +177325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.285346693,0.996 +177327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.793241641,0.996 +177328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.753182005,0.996 +177330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.822998479,0.996 +177329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.263484105,0.996 +177331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.580020091,0.996 +177332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.219479946,0.996 +177334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.933115947,0.996 +177335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.125249761,0.996 +177336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.412877563,0.996 +177333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.479738045,0.996 +177337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.499452686,0.996 +177338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.434553279,0.996 +177339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.367172232,0.996 +177341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.446033043,0.996 +177342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.45990567,0.996 +177340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.724343847,0.996 +177343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.59450248,0.996 +177345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.70786945,0.996 +177344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.542824622,0.996 +177346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.435447797,0.996 +177347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.699825789,0.996 +177349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.280497502,0.996 +177348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.826495912,0.996 +177351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,9.063630908,0.996 +177352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.936283453,0.996 +177353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.824963431,0.996 +177350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.206864084,0.996 +177354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.149667958,0.996 +177355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.992456904,0.996 +177356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,-0.283237701,0.996 +177358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.773896071,0.996 +177360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.282573947,0.996 +177357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.84156024,0.996 +177359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.494934349,0.996 +177361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.373132697,0.996 +177362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.702059852,0.996 +177364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.274959592,0.996 +177363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,11.99216343,0.996 +177365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.006390881,0.996 +177366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.511185919,0.996 +177367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.433930987,0.996 +177368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.566999149,0.996 +177369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.2028461,0.996 +177370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,9.606125306,0.996 +177371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.927851113,0.996 +177374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.750574168,0.996 +177373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.5991654,0.996 +177372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.377624128,0.996 +177375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.295334505,0.996 +177377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.134026891,0.996 +177376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.514527015,0.996 +177378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.931139823,0.996 +177379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.237064571,0.996 +177381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.921353595,0.996 +177380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.062313181,0.996 +177383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.239730614,0.996 +177384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,9.047750388,0.996 +177382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.215641591,0.996 +177385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.90291395,0.996 +177386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.77100853,0.996 +177387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.545575675,0.996 +177389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.819948766,0.996 +177388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.149832396,0.996 +177390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.39998607,0.996 +177391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.590039608,0.996 +177393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,9.666626773,0.996 +177392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.75587699,0.996 +177394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.5790031,0.996 +177395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.624418572,0.996 +177396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.279791882,0.996 +177397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.035100837,0.996 +177398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.945831196,0.996 +177399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.54583442,0.996 +177401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,8.242674892,0.996 +177402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.628679227,0.996 +177400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.080956801,0.996 +177403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.259311576,0.996 +177404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.136923375,0.996 +177405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.053460927,0.996 +177406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,8.007847058,0.996 +177407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.879672904,0.996 +177408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,9.386605792,0.996 +177409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.435563513,0.996 +177411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.995499263,0.996 +177413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,11.08884387,0.996 +177410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.613646036,0.996 +177412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.297110747,0.996 +177414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.692116119,0.996 +177415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.001733488,0.996 +177416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.754637083,0.996 +177417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.882410931,0.996 +177418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.086341003,0.996 +177420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.188643972,0.996 +177421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.633012047,0.996 +177419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,10.54124166,0.996 +177423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.183207544,0.996 +177422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.719179066,0.996 +177425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.779829152,0.996 +177426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.384037072,0.996 +177427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.025183963,0.996 +177428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,0.660816855,0.996 +177424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.009786617,0.996 +177429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.083052173,0.996 +177430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.314478949,0.996 +177431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.538972979,0.996 +177434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.651503811,0.996 +177432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.627883068,0.996 +177433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.241607934,0.996 +177435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.450343479,0.996 +177437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.636165137,0.996 +177436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.747073039,0.996 +177438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,8.045999932,0.996 +177439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.361302137,0.996 +177440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,10.55921758,0.996 +177441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.049708501,0.996 +177442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.502967236,0.996 +177443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.295315822,0.996 +177445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,0.898684894,0.996 +177447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,8.895294802,0.996 +177446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.331048242,0.996 +177448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.590793075,0.996 +177444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.543602216,0.996 +177449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.588621579,0.996 +177450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.244082477,0.996 +177452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.669506476,0.996 +177451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.232070984,0.996 +177453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.703676546,0.996 +177454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.274733358,0.996 +177455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.984511157,0.996 +177456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.60759127,0.996 +177457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.800132359,0.996 +177458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.38831079,0.996 +177459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.03425996,0.996 +177460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.575056107,0.996 +177461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.500803662,0.996 +177462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.07672566,0.996 +177464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.538178302,0.996 +177465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.616829809,0.996 +177463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.924337201,0.996 +177467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.059413585,0.996 +177466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.0914656,0.996 +177469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.212234675,0.996 +177468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.615280712,0.996 +177470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,8.957381256,0.996 +177471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.37511905,0.996 +177472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.621289241,0.996 +177473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,0.917728786,0.996 +177474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.9989958,0.996 +177475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.374421025,0.996 +177476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.637626309,0.996 +177477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.702427272,0.996 +177478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,0.398386189,0.996 +177481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.301372247,0.996 +177479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.489831877,0.996 +177480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.389388589,0.996 +177483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.338897008,0.996 +177482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.84949306,0.996 +177484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.360539843,0.996 +177485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.128850131,0.996 +177487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.052326884,0.996 +177486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.101294567,0.996 +177488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.20250036,0.996 +177489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.744056404,0.996 +177491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.432211852,0.996 +177490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.890870824,0.996 +177492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.392259516,0.996 +177493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.327007345,0.996 +177494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.187518456,0.996 +177495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.511400738,0.996 +177496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.743294694,0.996 +177497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.37320158,0.996 +177498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.623571713,0.996 +177499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.608093542,0.996 +177501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.32024302,0.996 +177502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.367085207,0.996 +177503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.968666734,0.996 +177504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.138927815,0.996 +177505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.18583795,0.996 +177506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.391806249,0.996 +177500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.960968961,0.996 +177507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.139325114,0.996 +177508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.574056524,0.996 +177509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.393013467,0.996 +177511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.264091084,0.996 +177510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.356841115,0.996 +177513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.567751623,0.996 +177512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,8.230543937,0.996 +177515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.439948706,0.996 +177514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.732037598,0.996 +177516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.315881842,0.996 +177517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.964531,0.996 +177519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.303458952,0.996 +177518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,8.077684703,0.996 +177520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.703352384,0.996 +177521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.089511928,0.996 +177523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.532791687,0.996 +177524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.189333454,0.996 +177525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.364626896,0.996 +177522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.063279446,0.996 +177526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.633107172,0.996 +177529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.219941524,0.996 +177528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.194026593,0.996 +177527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.832756624,0.996 +177532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.482477192,0.996 +177531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.256424253,0.996 +177533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.148675961,0.996 +177530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.411804028,0.996 +177534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.411071326,0.996 +177536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.307568391,0.996 +177537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.99324617,0.996 +177538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,9.796854001,0.996 +177539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,10.8193409,0.996 +177535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.435589418,0.996 +177540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.910363396,0.996 +177543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.791514463,0.996 +177542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.50050882,0.996 +177544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.01963286,0.996 +177541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.817189408,0.996 +177545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.650329468,0.996 +177546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,0.703042665,0.996 +177548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.137483415,0.996 +177547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.100775152,0.996 +177550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.156040852,0.996 +177551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.610820338,0.996 +177549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.352378085,0.996 +177553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.022143254,0.996 +177554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.104896141,0.996 +177552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.243734502,0.996 +177557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.242242809,0.996 +177555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.22231873,0.996 +177558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.18558908,0.996 +177556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.119506035,0.996 +177560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.949579187,0.996 +177559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.394672577,0.996 +177561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,0.234996756,0.996 +177562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.831691414,0.996 +177565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.981213842,0.996 +177566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.081535546,0.996 +177564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.890392554,0.996 +177563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.479660908,0.996 +177568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.697714677,0.996 +177569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.362512874,0.996 +177570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,0.949956663,0.996 +177567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.863042218,0.996 +177572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.291293713,0.996 +177571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.336520874,0.996 +177574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.848460894,0.996 +177575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.454728682,0.996 +177576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.482026018,0.996 +177573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.173954535,0.996 +177577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.894246295,0.996 +177579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.509360096,0.996 +177578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.782339794,0.996 +177580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.920146313,0.996 +177582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.740498691,0.996 +177583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.143026162,0.996 +177584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.315565171,0.996 +177585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.757617878,0.996 +177581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.287886997,0.996 +177587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.980121659,0.996 +177586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.446331829,0.996 +177589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.203663707,0.996 +177588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.149914935,0.996 +177592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.199950178,0.996 +177591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.559975787,0.996 +177593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.862563971,0.996 +177594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.329554704,0.996 +177595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.350529266,0.996 +177590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.299575831,0.996 +177596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.313530168,0.996 +177597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.152906955,0.996 +177598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.588503152,0.996 +177600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.449316468,0.996 +177602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,0.79610068,0.996 +177599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.679220132,0.996 +177601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.011591482,0.996 +177603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.209502536,0.996 +177605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.345868507,0.996 +177606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.260472196,0.996 +177604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.256201687,0.996 +177607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.991007366,0.996 +177609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.639389279,0.996 +177610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.906350411,0.996 +177611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.918374814,0.996 +177612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,10.82124133,0.996 +177608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.468004536,0.996 +177613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.561253305,0.996 +177614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.207070156,0.996 +177617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,8.147744762,0.996 +177616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.49978068,0.996 +177615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.748976171,0.996 +177618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.994984151,0.996 +177620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.522147803,0.996 +177621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.60315915,0.996 +177619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.185432783,0.996 +177622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.892938615,0.996 +177623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.377063353,0.996 +177624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.104323048,0.996 +177625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.110261049,0.996 +177626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.829765304,0.996 +177629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.068606297,0.996 +177628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.211856603,0.996 +177630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.685394841,0.996 +177631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.78262325,0.996 +177627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.683749915,0.996 +177634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.60201823,0.996 +177633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.958747128,0.996 +177632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.719856198,0.996 +177635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.182270387,0.996 +177637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.623970078,0.996 +177638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.450856752,0.996 +177636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.610125569,0.996 +177639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.727731214,0.996 +177640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.142838357,0.996 +177641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.586512115,0.996 +177642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.915117793,0.996 +177643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.837957584,0.996 +177644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.600083162,0.996 +177645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.118206567,0.996 +177646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.454555451,0.996 +177648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.618895455,0.996 +177650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,0.611917036,0.996 +177649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,9.372956608,0.996 +177647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.43504444,0.996 +177651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.873774698,0.996 +177653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.345177229,0.996 +177654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.770450103,0.996 +177652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.131891176,0.996 +177655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.388585886,0.996 +177656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.96268953,0.996 +177658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.961956042,0.996 +177657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.004052008,0.996 +177660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.716252016,0.996 +177659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.089780962,0.996 +177661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.287821729,0.996 +177662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.916235832,0.996 +177665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,8.693640498,0.996 +177663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.741209763,0.996 +177664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.660050028,0.996 +177668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.094227959,0.996 +177666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.381131389,0.996 +177667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.922476949,0.996 +177669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.575430148,0.996 +177671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.807870225,0.996 +177673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.607755107,0.996 +177672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.000930628,0.996 +177670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.578639461,0.996 +177674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.94314595,0.996 +177675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.095842157,0.996 +177676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.839818884,0.996 +177677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,0.518622646,0.996 +177678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,0.505779559,0.996 +177679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,9.846330288,0.996 +177680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.313122598,0.996 +177681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,11.61497817,0.996 +177683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.442836738,0.996 +177682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.093789665,0.996 +177684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.626699831,0.996 +177686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,8.885461958,0.996 +177687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.976611988,0.996 +177685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.184876979,0.996 +177688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.559236179,0.996 +177690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.956431236,0.996 +177689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.065666484,0.996 +177691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.926550169,0.996 +177692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.068313383,0.996 +177693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.030655599,0.996 +177694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.909754572,0.996 +177695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.786564826,0.996 +177696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,9.107272223,0.996 +177697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.334088631,0.996 +177698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.202414751,0.996 +177700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.688861846,0.996 +177701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,-0.346274179,0.996 +177699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.37641244,0.996 +177702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.349085411,0.996 +177703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.555752023,0.996 +177704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.488411686,0.996 +177706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.357122012,0.996 +177705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.726004692,0.996 +177707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.936532239,0.996 +177708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.549064974,0.996 +177709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.031592313,0.996 +177710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.000242488,0.996 +177711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.706845333,0.996 +177712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.746220554,0.996 +177714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.41343014,0.996 +177713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,9.720047882,0.996 +177715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.162136846,0.996 +177716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.207085009,0.996 +177717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.270038141,0.996 +177718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.374592146,0.996 +177719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.459835964,0.996 +177720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.795949975,0.996 +177722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.228029299,0.996 +177721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.076148643,0.996 +177723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.415066675,0.996 +177724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,8.74323258,0.996 +177725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.954841801,0.996 +177727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.961668782,0.996 +177726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.878173361,0.996 +177728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,0.834465987,0.996 +177729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.604355666,0.996 +177730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.108570477,0.996 +177732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.303563342,0.996 +177733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.74254368,0.996 +177731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.420043498,0.996 +177734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.754207334,0.996 +177735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,9.543822234,0.996 +177737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.498055639,0.996 +177736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.938916772,0.996 +177738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.574529654,0.996 +177739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.593937695,0.996 +177740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.550619018,0.996 +177741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.876058832,0.996 +177742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.232122099,0.996 +177743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.313551207,0.996 +177744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.861094499,0.996 +177745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.297781154,0.996 +177746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,8.894747694,0.996 +177747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.736200816,0.996 +177748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.81563641,0.996 +177750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.478866748,0.996 +177751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.699008593,0.996 +177752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.752381658,0.996 +177753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.279162554,0.996 +177754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.478333826,0.996 +177749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.676984019,0.996 +177755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.119110806,0.996 +177757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.922550922,0.996 +177756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.083167874,0.996 +177759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.263642139,0.996 +177758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.328320412,0.996 +177760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.580687829,0.996 +177762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,8.271481199,0.996 +177761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.667829074,0.996 +177764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.833511031,0.996 +177763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.521705174,0.996 +177765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.206143115,0.996 +177766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.951220975,0.996 +177767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.736855872,0.996 +177769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.265495273,0.996 +177770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.538833511,0.996 +177771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.123086147,0.996 +177768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.279334019,0.996 +177773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.809420744,0.996 +177772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.305589352,0.996 +177774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.401584422,0.996 +177775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.388770295,0.996 +177777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.271269178,0.996 +177776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.218405016,0.996 +177778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.976553219,0.996 +177779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.922366373,0.996 +177780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.211985221,0.996 +177781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.571982816,0.996 +177782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.806657692,0.996 +177783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.686875563,0.996 +177784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.301820034,0.996 +177785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.667743861,0.996 +177786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.998673619,0.996 +177787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.268464952,0.996 +177789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.341885927,0.996 +177788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.111031568,0.996 +177790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,9.431276837,0.996 +177793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.93933648,0.996 +177794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.525795167,0.996 +177791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.337527731,0.996 +177795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.964207508,0.996 +177796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.790657943,0.996 +177792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.996536377,0.996 +177797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.344287707,0.996 +177798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.620686883,0.996 +177799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.183949323,0.996 +177801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.689649988,0.996 +177800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.699409796,0.996 +177803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.472457395,0.996 +177802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.383183406,0.996 +177805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.589398356,0.996 +177804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.189665623,0.996 +177806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,8.472240224,0.996 +177807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,13.39669833,0.996 +177808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.15014499,0.996 +177809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.711778178,0.996 +177810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.221305576,0.996 +177811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.846975871,0.996 +177814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.499201334,0.996 +177813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.104485749,0.996 +177815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.346046591,0.996 +177812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.651319453,0.996 +177817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.457733794,0.996 +177819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,0.418303714,0.996 +177816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.671022013,0.996 +177818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.703410968,0.996 +177820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.382680491,0.996 +177821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.627482062,0.996 +177822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.306887388,0.996 +177823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,9.526567183,0.996 +177824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.545667064,0.996 +177826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.039264973,0.996 +177825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.018586542,0.996 +177827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,0.851695089,0.996 +177830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.574082651,0.996 +177828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.704814692,0.996 +177831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.275698594,0.996 +177829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.456008485,0.996 +177832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.365315732,0.996 +177834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.423653242,0.996 +177835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.817605216,0.996 +177836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.519664358,0.996 +177833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.30869099,0.996 +177837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.675150277,0.996 +177839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.343270914,0.996 +177838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.298363095,0.996 +177840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.676521389,0.996 +177841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.154470276,0.996 +177842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.573324167,0.996 +177843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.869420781,0.996 +177844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.064130919,0.996 +177845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.148234756,0.996 +177846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.933868626,0.996 +177848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.565116217,0.996 +177847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.155373409,0.996 +177849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.283772742,0.996 +177850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.803344661,0.996 +177851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.968556201,0.996 +177853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.828531442,0.996 +177852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.117565104,0.996 +177854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.541003709,0.996 +177855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.287303877,0.996 +177856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.908296927,0.996 +177857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.625272753,0.996 +177858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.769358912,0.996 +177860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.213744328,0.996 +177861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.10977049,0.996 +177862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.750603565,0.996 +177859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.343626428,0.996 +177866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.184086615,0.996 +177863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.66081536,0.996 +177865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.539994468,0.996 +177864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,8.267091695,0.996 +177868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.192309534,0.996 +177867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.746074884,0.996 +177869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.818169174,0.996 +177870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.941058774,0.996 +177871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.377015673,0.996 +177872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.379810973,0.996 +177873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.762649475,0.996 +177874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.237999316,0.996 +177875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.535390279,0.996 +177876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.064872645,0.996 +177877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.119710579,0.996 +177878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.457510364,0.996 +177880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.835907953,0.996 +177879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,10.15094142,0.996 +177881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.809508558,0.996 +177882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.953474813,0.996 +177883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.258640239,0.996 +177884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.779101506,0.996 +177885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,8.403984385,0.996 +177886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.692021551,0.996 +177888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.634355334,0.996 +177889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.677415003,0.996 +177887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.054282123,0.996 +177890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.026502331,0.996 +177891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.223989298,0.996 +177894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.470513164,0.996 +177892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.1178073,0.996 +177893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.869976658,0.996 +177896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.649078909,0.996 +177895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,0.598540639,0.996 +177898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.676173396,0.996 +177897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.674065271,0.996 +177899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.217191939,0.996 +177900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.527462464,0.996 +177903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.830199908,0.996 +177904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.467739083,0.996 +177902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.330978735,0.996 +177901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.030513201,0.996 +177905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.158014492,0.996 +177906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.611419259,0.996 +177908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,11.12494586,0.996 +177907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,8.075732323,0.996 +177909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.613729363,0.996 +177910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.568089849,0.996 +177911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.348882246,0.996 +177912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.959423117,0.996 +177913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.562536442,0.996 +177914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.151412059,0.996 +177917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.360161235,0.996 +177918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.848854674,0.996 +177916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.046908427,0.996 +177919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.392405995,0.996 +177920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.205560076,0.996 +177921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.604644503,0.996 +177915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.238459749,0.996 +177922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.040814125,0.996 +177924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,11.57133216,0.996 +177923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.570934203,0.996 +177925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.130732398,0.996 +177927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.567825487,0.996 +177928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,0.659904338,0.996 +177926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.135074075,0.996 +177929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,8.474707011,0.996 +177931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.175163004,0.996 +177932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.46585545,0.996 +177930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.7774914,0.996 +177934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.420417796,0.996 +177935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.284578578,0.996 +177936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.59463441,0.996 +177937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.175875193,0.996 +177938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.311304521,0.996 +177933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.341380052,0.996 +177939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.302971186,0.996 +177942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.711390599,0.996 +177943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.484233864,0.996 +177941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.325504611,0.996 +177940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.414332267,0.996 +177945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.735928607,0.996 +177946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,10.7215152,0.996 +177947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.431999175,0.996 +177944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,8.682761924,0.996 +177948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.542990281,0.996 +177949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.366758329,0.996 +177950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,11.64229518,0.996 +177951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.607848744,0.996 +177953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.68453876,0.996 +177954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.067050245,0.996 +177955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.13811379,0.996 +177952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.032085341,0.996 +177956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.301608028,0.996 +177958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.100185419,0.996 +177957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.600496331,0.996 +177959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,8.858612932,0.996 +177960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.475132519,0.996 +177962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.530882046,0.996 +177963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.249826296,0.996 +177964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.302576656,0.996 +177965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.919608673,0.996 +177961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,7.474905843,0.996 +177966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.382664126,0.996 +177967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.788115902,0.996 +177968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.183192191,0.996 +177969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.659603053,0.996 +177971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.4438228,0.996 +177970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.104208058,0.996 +177972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.155403389,0.996 +177973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.408196866,0.996 +177974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.389701428,0.996 +177975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.502141501,0.996 +177977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.414472679,0.996 +177976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.791178112,0.996 +177978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.147007446,0.996 +177980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.408601293,0.996 +177981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.883440642,0.996 +177979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.303216854,0.996 +177982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.629691229,0.996 +177984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,5.376366814,0.996 +177985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.787021434,0.996 +177986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.154518217,0.996 +177983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,10.3518168,0.996 +177987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.105235651,0.996 +177989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,4.093107423,0.996 +177988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.759522361,0.996 +177991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,6.924084078,0.996 +177990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.310090084,0.996 +177992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.096982215,0.996 +177993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.723158053,0.996 +177994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.735485816,0.996 +177995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.276352186,0.996 +177996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.078345912,0.996 +177997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,3.045072314,0.996 +177998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.825782081,0.996 +178000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,2.642458318,0.996 +177999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,8,1,1.706939457,0.996 +187002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.715736243,0.981 +187001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.097038051,0.981 +187003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.236522271,0.981 +187004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.881528788,0.981 +187006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.272262411,0.981 +187005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.605507001,0.981 +187008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.201376129,0.981 +187007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.10806608,0.981 +187009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,8.730937349,0.981 +187011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,10.14617942,0.981 +187010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.720220038,0.981 +187012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.736051268,0.981 +187013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.298400648,0.981 +187016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.427226623,0.981 +187015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.834694388,0.981 +187014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.508050763,0.981 +187017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.396854606,0.981 +187019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.940473845,0.981 +187020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.289985054,0.981 +187021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.807396082,0.981 +187018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,-0.174724581,0.981 +187022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.113177,0.981 +187024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.328493756,0.981 +187023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,10.85532976,0.981 +187028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.560081193,0.981 +187026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.663135345,0.981 +187025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.437432689,0.981 +187027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.251241716,0.981 +187030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.802831635,0.981 +187031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,11.2210686,0.981 +187032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.945183901,0.981 +187029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,9.99041193,0.981 +187034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.018798033,0.981 +187035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.21917588,0.981 +187033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.007047289,0.981 +187036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.538687316,0.981 +187038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,8.015361328,0.981 +187040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.331405423,0.981 +187039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.486582265,0.981 +187037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.761926923,0.981 +187042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.879887775,0.981 +187043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.38156249,0.981 +187044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.167585161,0.981 +187041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.943710304,0.981 +187045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.051812164,0.981 +187046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.42129798,0.981 +187047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.077441021,0.981 +187048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.774417843,0.981 +187049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.079328608,0.981 +187050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.730055041,0.981 +187051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.835745857,0.981 +187052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.371746412,0.981 +187053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.568335508,0.981 +187054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.243220509,0.981 +187056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.489218184,0.981 +187057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.637335875,0.981 +187055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,-0.464518929,0.981 +187058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.878617663,0.981 +187059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.016696399,0.981 +187060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.563700947,0.981 +187061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.065584609,0.981 +187063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.816660377,0.981 +187064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.673843125,0.981 +187065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.506262704,0.981 +187066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.569279552,0.981 +187067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.409645201,0.981 +187068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.777416538,0.981 +187062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.602080769,0.981 +187069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.447765347,0.981 +187070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.874223464,0.981 +187071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.531869097,0.981 +187073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.233341713,0.981 +187072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.130055724,0.981 +187074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.549605217,0.981 +187075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.153385174,0.981 +187078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.165672141,0.981 +187077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.686045714,0.981 +187076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.805813605,0.981 +187079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.917899118,0.981 +187080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.348622221,0.981 +187081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.836003539,0.981 +187082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.593002893,0.981 +187083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.198028681,0.981 +187084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,-0.147052183,0.981 +187086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.676914249,0.981 +187087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.911308937,0.981 +187088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.912462944,0.981 +187085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.203798488,0.981 +187089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.415496219,0.981 +187090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.085699141,0.981 +187091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.294372872,0.981 +187092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.221413782,0.981 +187093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,12.46156385,0.981 +187094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.338629427,0.981 +187095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.122209329,0.981 +187096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.960215288,0.981 +187098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.1402062,0.981 +187097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.463739497,0.981 +187099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.112808179,0.981 +187101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.425629953,0.981 +187100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.695482123,0.981 +187102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.415292656,0.981 +187103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.238429273,0.981 +187106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.882804558,0.981 +187107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.528379769,0.981 +187104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.606489307,0.981 +187105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.3616469,0.981 +187108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.001929406,0.981 +187110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.611788995,0.981 +187109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.978184965,0.981 +187112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,8.473418107,0.981 +187111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.491393896,0.981 +187114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.862171572,0.981 +187113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.112377744,0.981 +187115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.049672632,0.981 +187118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.461949214,0.981 +187116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,8.311604243,0.981 +187119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,8.104441208,0.981 +187117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.661343613,0.981 +187120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.216189546,0.981 +187122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.466977566,0.981 +187123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.167832237,0.981 +187121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.612460933,0.981 +187124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.769775607,0.981 +187126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.937093638,0.981 +187125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.522704717,0.981 +187127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.179705444,0.981 +187128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.443348148,0.981 +187130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.284888073,0.981 +187129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,9.068052447,0.981 +187131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.469369776,0.981 +187132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.103529712,0.981 +187133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.746943618,0.981 +187134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.912630664,0.981 +187135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.72902834,0.981 +187136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.052890504,0.981 +187137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.962896565,0.981 +187138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.405334707,0.981 +187140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.956755452,0.981 +187141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,9.209926215,0.981 +187142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.246331083,0.981 +187143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.5897727,0.981 +187139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.868263933,0.981 +187144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.675846914,0.981 +187145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.527542714,0.981 +187146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.605722698,0.981 +187148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.44139252,0.981 +187149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.926966375,0.981 +187147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.060325378,0.981 +187150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.363100343,0.981 +187151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.482522598,0.981 +187153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.118988224,0.981 +187152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.55697105,0.981 +187154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.739450189,0.981 +187155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.834016868,0.981 +187157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.453164977,0.981 +187156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.669644678,0.981 +187158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.885007683,0.981 +187159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.932100291,0.981 +187160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.183151908,0.981 +187161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.902645839,0.981 +187162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.629117703,0.981 +187163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.304766722,0.981 +187164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.401321695,0.981 +187166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.949154144,0.981 +187165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.758067029,0.981 +187167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.930162616,0.981 +187169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.331759576,0.981 +187168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.501619752,0.981 +187170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.148428164,0.981 +187171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.055900405,0.981 +187172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.571802366,0.981 +187173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.502166907,0.981 +187174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.662856154,0.981 +187176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.213324768,0.981 +187175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.68639842,0.981 +187178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.28249846,0.981 +187180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.561638214,0.981 +187177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.343853757,0.981 +187181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,9.734155007,0.981 +187179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.530670337,0.981 +187182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,8.477501683,0.981 +187183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.015808259,0.981 +187185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.711191174,0.981 +187184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.299491243,0.981 +187186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.319013669,0.981 +187187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.227662901,0.981 +187189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.275758712,0.981 +187188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.513176311,0.981 +187190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.127048525,0.981 +187191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.027097866,0.981 +187192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.653257527,0.981 +187193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,9.18819177,0.981 +187194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.994908042,0.981 +187196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.769601727,0.981 +187197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.37866477,0.981 +187198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.860239794,0.981 +187195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.585989163,0.981 +187199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.640083178,0.981 +187200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.313487312,0.981 +187201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.091619469,0.981 +187202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.668724257,0.981 +187203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.077844729,0.981 +187204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.355061585,0.981 +187205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.423600183,0.981 +187206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.659574216,0.981 +187207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.790179415,0.981 +187209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.583724354,0.981 +187208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.444943803,0.981 +187211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,9.794306565,0.981 +187212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.489064322,0.981 +187210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.184006217,0.981 +187213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,8.408188317,0.981 +187214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.653205409,0.981 +187215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.299464102,0.981 +187217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.328395022,0.981 +187216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.047999322,0.981 +187218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.765237684,0.981 +187219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.874703652,0.981 +187220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.294267082,0.981 +187221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.465945363,0.981 +187222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.778841696,0.981 +187223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.292993249,0.981 +187224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.560509152,0.981 +187225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.179235061,0.981 +187227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.83154975,0.981 +187226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.01350027,0.981 +187228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.53867481,0.981 +187229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,9.757254565,0.981 +187231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.322329543,0.981 +187232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.235191081,0.981 +187230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.909251511,0.981 +187233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.381896761,0.981 +187234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.617740651,0.981 +187236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.808997104,0.981 +187235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.354651877,0.981 +187238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,-0.81919476,0.981 +187237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.848273889,0.981 +187239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.185514112,0.981 +187240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.920486871,0.981 +187241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.345135203,0.981 +187244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.607922371,0.981 +187243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.503184578,0.981 +187242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.309322039,0.981 +187245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.579264457,0.981 +187247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.715500904,0.981 +187246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.18205927,0.981 +187249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.679766083,0.981 +187250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.332178554,0.981 +187251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.684788522,0.981 +187248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.275005143,0.981 +187254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.584718511,0.981 +187252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.359272732,0.981 +187253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.865847012,0.981 +187255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.799824395,0.981 +187256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.091569672,0.981 +187257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.834814587,0.981 +187258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.853347128,0.981 +187259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.978645734,0.981 +187261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,11.72538848,0.981 +187260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.856636954,0.981 +187262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.26891946,0.981 +187264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.886654047,0.981 +187265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.655620545,0.981 +187266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.048972786,0.981 +187263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.00434747,0.981 +187267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.973509445,0.981 +187268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.54820029,0.981 +187269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.500823422,0.981 +187270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.211084976,0.981 +187272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.751607835,0.981 +187273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.619686083,0.981 +187271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.985641898,0.981 +187274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.16793811,0.981 +187276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.315704924,0.981 +187275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.378317585,0.981 +187277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.674335342,0.981 +187278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.737918191,0.981 +187279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.624318226,0.981 +187280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.383803884,0.981 +187281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.713031063,0.981 +187283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.026747366,0.981 +187284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.348626372,0.981 +187285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.470305423,0.981 +187282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.002418822,0.981 +187286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.157180827,0.981 +187287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.007435072,0.981 +187288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.029420042,0.981 +187290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.479900829,0.981 +187291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,8.380195175,0.981 +187289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.236332864,0.981 +187292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.201520183,0.981 +187293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.518183092,0.981 +187294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.300128026,0.981 +187295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.644537426,0.981 +187297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.578257837,0.981 +187296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,8.871198395,0.981 +187298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,8.59873317,0.981 +187299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.515450726,0.981 +187301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.036860239,0.981 +187300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.455622496,0.981 +187302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.262025309,0.981 +187304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.404183602,0.981 +187303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.393165919,0.981 +187305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.003433639,0.981 +187307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.851223656,0.981 +187306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.10261952,0.981 +187308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,8.954159315,0.981 +187309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.581295396,0.981 +187311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.585845684,0.981 +187310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.91644914,0.981 +187313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.613308915,0.981 +187312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.184703322,0.981 +187314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.364668725,0.981 +187315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,8.78078996,0.981 +187316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.11539974,0.981 +187319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.500828969,0.981 +187318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,12.46188388,0.981 +187317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.259056327,0.981 +187320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.592524754,0.981 +187322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.60410569,0.981 +187323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.274117335,0.981 +187324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.190987406,0.981 +187321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.5154983,0.981 +187325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,10.34336785,0.981 +187326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.173626783,0.981 +187327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.655600435,0.981 +187329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.49942189,0.981 +187328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.447970915,0.981 +187330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.766878285,0.981 +187333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.685576111,0.981 +187331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.165527843,0.981 +187332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.629380956,0.981 +187334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.909148601,0.981 +187335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.03027203,0.981 +187336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.786767193,0.981 +187337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.112598741,0.981 +187339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,9.869274414,0.981 +187340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.630948925,0.981 +187341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.745812504,0.981 +187338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,8.617315464,0.981 +187342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.932435179,0.981 +187343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.41805572,0.981 +187344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.359753756,0.981 +187345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.11485689,0.981 +187347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.722412528,0.981 +187346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.465655862,0.981 +187349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.743912129,0.981 +187348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.927771912,0.981 +187350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.701886559,0.981 +187352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.097204596,0.981 +187353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.27364229,0.981 +187354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.641593125,0.981 +187351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,8.025998326,0.981 +187356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.544723115,0.981 +187355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.527561272,0.981 +187357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.797779616,0.981 +187358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.064636243,0.981 +187359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.690793451,0.981 +187362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.678658861,0.981 +187360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.123657355,0.981 +187361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.558598879,0.981 +187365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.479709545,0.981 +187363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.448862889,0.981 +187364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.719956717,0.981 +187366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.028355348,0.981 +187367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.068735297,0.981 +187368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.348138495,0.981 +187370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.959972871,0.981 +187369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.314750019,0.981 +187372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.857525298,0.981 +187373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.883659042,0.981 +187371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.842034639,0.981 +187375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.888481401,0.981 +187374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.950661331,0.981 +187377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.834037816,0.981 +187376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.291472885,0.981 +187378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.264667196,0.981 +187379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.684050009,0.981 +187380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.373407009,0.981 +187381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.141351585,0.981 +187382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.682784766,0.981 +187384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.529967975,0.981 +187385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.646035903,0.981 +187386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.608097875,0.981 +187387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.481812431,0.981 +187388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.068748756,0.981 +187383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.685711214,0.981 +187389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.664438266,0.981 +187391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.793817376,0.981 +187392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.541922964,0.981 +187390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.255470892,0.981 +187393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.645926764,0.981 +187394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,8.711221268,0.981 +187395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.927263662,0.981 +187396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.482181327,0.981 +187397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.905579436,0.981 +187398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,10.51939504,0.981 +187399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.509150573,0.981 +187400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.900325749,0.981 +187401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.443515461,0.981 +187402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.473146311,0.981 +187404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.943174044,0.981 +187405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.440152479,0.981 +187406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.445550642,0.981 +187403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.81798503,0.981 +187408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.345656458,0.981 +187410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.865578313,0.981 +187407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.257471378,0.981 +187409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.195047028,0.981 +187411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.680055043,0.981 +187413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.501564107,0.981 +187414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.582706622,0.981 +187412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.233839717,0.981 +187415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.921557457,0.981 +187416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.909576209,0.981 +187418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.121770795,0.981 +187417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.064580314,0.981 +187419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.956290817,0.981 +187420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,9.127875879,0.981 +187422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.846014948,0.981 +187424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.509092053,0.981 +187423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.151409255,0.981 +187421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.976503332,0.981 +187425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.625607449,0.981 +187426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.268366925,0.981 +187427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.25678184,0.981 +187429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.543795677,0.981 +187428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.076460382,0.981 +187430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.755951238,0.981 +187432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.727432142,0.981 +187431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.608324656,0.981 +187433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.928540623,0.981 +187434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.256252698,0.981 +187435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.13479777,0.981 +187436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,10.34366834,0.981 +187437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.11635003,0.981 +187438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.188249034,0.981 +187440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.921028962,0.981 +187439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,-1.617462391,0.981 +187442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.246001266,0.981 +187441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.583172324,0.981 +187443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.737254357,0.981 +187444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.998131099,0.981 +187445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.255671629,0.981 +187446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,-0.398835976,0.981 +187447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.638239782,0.981 +187448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.453055591,0.981 +187449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.915286065,0.981 +187451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.826717503,0.981 +187452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,9.729467709,0.981 +187450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.143547768,0.981 +187453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,-0.963194468,0.981 +187454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.213143601,0.981 +187455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.186500466,0.981 +187457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.010542409,0.981 +187458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,8.665200058,0.981 +187459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.052318862,0.981 +187456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.081920929,0.981 +187460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.320616212,0.981 +187461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.777018198,0.981 +187462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.949347919,0.981 +187464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.836482887,0.981 +187465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.875271066,0.981 +187466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.305802433,0.981 +187463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.128416612,0.981 +187468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.232443252,0.981 +187467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.478410495,0.981 +187470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.220215637,0.981 +187469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.474308223,0.981 +187472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.799767523,0.981 +187471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.363093295,0.981 +187474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.763964733,0.981 +187473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,11.55647738,0.981 +187475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.274195459,0.981 +187476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.662738391,0.981 +187479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.039378182,0.981 +187477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.368021562,0.981 +187480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.870886299,0.981 +187482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.381653402,0.981 +187478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.545769064,0.981 +187481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,10.55169251,0.981 +187483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.122199722,0.981 +187485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.159758553,0.981 +187486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.089978943,0.981 +187484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.088971808,0.981 +187487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.848218595,0.981 +187488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.917355967,0.981 +187489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,-1.037829486,0.981 +187490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.598796396,0.981 +187491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.569379552,0.981 +187492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.633806024,0.981 +187493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,8.610988499,0.981 +187494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.856802842,0.981 +187495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.057113264,0.981 +187498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.249984515,0.981 +187497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.104746354,0.981 +187496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.291662324,0.981 +187499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.75030825,0.981 +187501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.444749303,0.981 +187502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,8.57415722,0.981 +187500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.363517616,0.981 +187503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.662421815,0.981 +187504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.412434512,0.981 +187505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.342775233,0.981 +187506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.337582927,0.981 +187507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.815146134,0.981 +187508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,8.479505346,0.981 +187509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.657062726,0.981 +187510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,8.283634934,0.981 +187511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.830042733,0.981 +187514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.569404598,0.981 +187512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.42272556,0.981 +187513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,-0.038992817,0.981 +187515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,8.218544518,0.981 +187517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.485220102,0.981 +187516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.421716285,0.981 +187518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.347751188,0.981 +187520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.140818706,0.981 +187519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.938943438,0.981 +187521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.484665043,0.981 +187522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.537100264,0.981 +187524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.323047051,0.981 +187525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.306764033,0.981 +187523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.387163919,0.981 +187526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.487639432,0.981 +187528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.11557529,0.981 +187529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.741801731,0.981 +187527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.220668998,0.981 +187532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.264370983,0.981 +187533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,11.10573297,0.981 +187531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,-1.706347992,0.981 +187530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.949606664,0.981 +187534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.592652171,0.981 +187535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.153693257,0.981 +187536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,10.41783928,0.981 +187537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.043482228,0.981 +187538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.277487946,0.981 +187539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.210467567,0.981 +187540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.9381974,0.981 +187542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.629844335,0.981 +187541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.290093028,0.981 +187543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.734617496,0.981 +187544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.172057761,0.981 +187546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.873914335,0.981 +187545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,8.794463413,0.981 +187547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.979816629,0.981 +187548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.6584186,0.981 +187549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.322001036,0.981 +187550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.0923544,0.981 +187551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.875983458,0.981 +187552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.715563966,0.981 +187553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.452328137,0.981 +187555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.379402183,0.981 +187556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.845802629,0.981 +187554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.825815304,0.981 +187557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.58372556,0.981 +187558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.72997713,0.981 +187559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.00764001,0.981 +187560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.850779307,0.981 +187561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.321793535,0.981 +187562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.712338892,0.981 +187563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.889140374,0.981 +187566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.579104566,0.981 +187565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.231591456,0.981 +187567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.67995994,0.981 +187568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.171797927,0.981 +187569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,-0.08922615,0.981 +187564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.749277313,0.981 +187570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.147556432,0.981 +187571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.923253782,0.981 +187572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.90891705,0.981 +187573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,10.96432612,0.981 +187574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.44349845,0.981 +187575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.520997802,0.981 +187576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.611179214,0.981 +187577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.255151883,0.981 +187578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.146640836,0.981 +187580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.524558492,0.981 +187579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.198034629,0.981 +187581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.157667229,0.981 +187582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.497278883,0.981 +187583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.660739255,0.981 +187584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.917989717,0.981 +187586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.775139875,0.981 +187587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.244746827,0.981 +187588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.205415992,0.981 +187589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.214513167,0.981 +187590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.520200586,0.981 +187585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.019132122,0.981 +187591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,9.72912565,0.981 +187592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.110695333,0.981 +187593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.983404031,0.981 +187595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,9.09999652,0.981 +187594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.947022,0.981 +187596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.470974961,0.981 +187597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.402219246,0.981 +187598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.176598646,0.981 +187599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.681550519,0.981 +187600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.350655279,0.981 +187601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.686473942,0.981 +187602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.902000902,0.981 +187604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.741854106,0.981 +187603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.114796818,0.981 +187605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.465005442,0.981 +187608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.308261362,0.981 +187607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.676080094,0.981 +187609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.719449258,0.981 +187606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.183946244,0.981 +187610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.724385244,0.981 +187611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.88078275,0.981 +187612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.175617327,0.981 +187613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,12.26891022,0.981 +187614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.756326473,0.981 +187615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.262903605,0.981 +187616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.273444161,0.981 +187618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.74730231,0.981 +187617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.921670752,0.981 +187619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.745351832,0.981 +187620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.568908383,0.981 +187621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,8.191245812,0.981 +187622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.555122374,0.981 +187623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.017842997,0.981 +187624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.474836711,0.981 +187627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,8.353040354,0.981 +187625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.285840611,0.981 +187626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.677118952,0.981 +187628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.960644879,0.981 +187629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.937777293,0.981 +187630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.455536077,0.981 +187631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.125039562,0.981 +187632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,9.138169996,0.981 +187633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.611985818,0.981 +187634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.66827597,0.981 +187635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.281387598,0.981 +187637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.58416953,0.981 +187636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.519547919,0.981 +187638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.479164645,0.981 +187641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,10.17626325,0.981 +187640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.706170631,0.981 +187642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,8.344464821,0.981 +187643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.583799907,0.981 +187644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.902483238,0.981 +187645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.384839263,0.981 +187639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.962471212,0.981 +187646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.726777326,0.981 +187647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.597387509,0.981 +187648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,-0.242707198,0.981 +187650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.964575121,0.981 +187651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.06854867,0.981 +187652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.93885347,0.981 +187649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.652170128,0.981 +187655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.834162871,0.981 +187653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.681495285,0.981 +187654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.72217677,0.981 +187656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.214291617,0.981 +187657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.712861229,0.981 +187658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,11.29204718,0.981 +187659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.530881237,0.981 +187660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,10.04965461,0.981 +187661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.031273318,0.981 +187662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.912038654,0.981 +187663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.410426498,0.981 +187665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,11.03238843,0.981 +187666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.022517337,0.981 +187667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.351354908,0.981 +187664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.170148643,0.981 +187668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.44156204,0.981 +187670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.094182895,0.981 +187669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.445453351,0.981 +187671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.3709682,0.981 +187672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.775740769,0.981 +187674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.990093609,0.981 +187673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.237727715,0.981 +187675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.950897277,0.981 +187676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.714802213,0.981 +187677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.487700427,0.981 +187678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.790422662,0.981 +187680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,8.230929822,0.981 +187679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.26289561,0.981 +187681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.024714494,0.981 +187682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.444296092,0.981 +187683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.138371879,0.981 +187684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.015623682,0.981 +187685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.983335052,0.981 +187686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.515981686,0.981 +187687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.677351307,0.981 +187688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.194727428,0.981 +187689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,8.968340168,0.981 +187691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.391633809,0.981 +187690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.829772844,0.981 +187693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.929565874,0.981 +187692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.544839128,0.981 +187694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.815207624,0.981 +187695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.387337502,0.981 +187696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.548676156,0.981 +187697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.290449408,0.981 +187700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.874700583,0.981 +187698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,9.537341838,0.981 +187699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.941258647,0.981 +187701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.980372514,0.981 +187703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.188786211,0.981 +187702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.334816496,0.981 +187704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.395184997,0.981 +187705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.731923612,0.981 +187706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.080793397,0.981 +187707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.723477612,0.981 +187709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.767324292,0.981 +187708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.355315137,0.981 +187710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.305153375,0.981 +187711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.23051942,0.981 +187712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.099278246,0.981 +187713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.081261,0.981 +187715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.335318942,0.981 +187714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.708629691,0.981 +187716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.107431058,0.981 +187718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.337462259,0.981 +187717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.823012669,0.981 +187719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.180792937,0.981 +187720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.79856637,0.981 +187721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.534696062,0.981 +187722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.019106571,0.981 +187723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.891359404,0.981 +187724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.75307416,0.981 +187725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.118935454,0.981 +187727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.578792483,0.981 +187728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,10.09406609,0.981 +187726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.838207272,0.981 +187729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,9.744247633,0.981 +187730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.510620426,0.981 +187732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.660607563,0.981 +187731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.833897326,0.981 +187733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.056483655,0.981 +187734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.293875077,0.981 +187736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,10.8420435,0.981 +187737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,10.42241417,0.981 +187738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.23534956,0.981 +187739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.280170424,0.981 +187735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.500857429,0.981 +187740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.250336073,0.981 +187741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.526381292,0.981 +187742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.628193241,0.981 +187744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.995770042,0.981 +187745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.388954953,0.981 +187743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.636712647,0.981 +187746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.971359768,0.981 +187748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.788376467,0.981 +187749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.67037762,0.981 +187747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,9.481770711,0.981 +187750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,8.983713659,0.981 +187751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.315106723,0.981 +187752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.093290429,0.981 +187753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.08734272,0.981 +187754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.760351828,0.981 +187755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.655946365,0.981 +187757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.051104097,0.981 +187756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.810816942,0.981 +187758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.765862891,0.981 +187760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,-0.130863716,0.981 +187762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.632073793,0.981 +187761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.770835091,0.981 +187759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.506636439,0.981 +187765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,10.08855099,0.981 +187763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.416037539,0.981 +187764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.648133307,0.981 +187766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.858525718,0.981 +187767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.0670688,0.981 +187768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,-0.490691894,0.981 +187770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.809293441,0.981 +187769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.313790954,0.981 +187771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.265049282,0.981 +187773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.125475892,0.981 +187772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.97197495,0.981 +187777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.603533052,0.981 +187775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,12.84855445,0.981 +187774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.65621375,0.981 +187776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.382524229,0.981 +187779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.157129455,0.981 +187780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.787702362,0.981 +187778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.553093836,0.981 +187781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.2034569,0.981 +187782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.020066856,0.981 +187783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.325582758,0.981 +187784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.760866264,0.981 +187785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.165314656,0.981 +187786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,8.650621428,0.981 +187787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,8.280816601,0.981 +187788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.401231669,0.981 +187789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.131202801,0.981 +187792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.34444175,0.981 +187790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,-0.293905373,0.981 +187791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.064869767,0.981 +187794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.498960839,0.981 +187795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.485174912,0.981 +187793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.486909331,0.981 +187796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.175928221,0.981 +187798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.311799294,0.981 +187797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.567198153,0.981 +187799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.908361809,0.981 +187800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.859296644,0.981 +187801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.934631595,0.981 +187802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.784429645,0.981 +187803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.364813096,0.981 +187806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.422270171,0.981 +187807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.169683053,0.981 +187804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.758635061,0.981 +187805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.225792506,0.981 +187809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.009258494,0.981 +187810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.920014617,0.981 +187808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.345165092,0.981 +187811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.853059829,0.981 +187812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,-0.044569876,0.981 +187814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.1779568,0.981 +187813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.187748921,0.981 +187815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.460264523,0.981 +187816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.500581027,0.981 +187817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.300087943,0.981 +187819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.46170173,0.981 +187820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.465370389,0.981 +187818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.286350905,0.981 +187821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.892244855,0.981 +187822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.916682002,0.981 +187823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.791500862,0.981 +187824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.110546371,0.981 +187825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.920106346,0.981 +187826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,8.75528755,0.981 +187827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.261347045,0.981 +187828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.192722429,0.981 +187829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,8.973398939,0.981 +187830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.036228275,0.981 +187831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.877628766,0.981 +187833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.113289747,0.981 +187834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.794119874,0.981 +187832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.796542797,0.981 +187835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.249445834,0.981 +187836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.722792695,0.981 +187837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.625229399,0.981 +187838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,-0.074263353,0.981 +187839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.760718709,0.981 +187840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.325101504,0.981 +187841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.373236338,0.981 +187842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.16813612,0.981 +187843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.243817733,0.981 +187844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.766946076,0.981 +187846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.66190292,0.981 +187847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.33931741,0.981 +187848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,11.07087869,0.981 +187845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.074010463,0.981 +187849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.439951832,0.981 +187850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.542826762,0.981 +187851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.248475532,0.981 +187852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.468053348,0.981 +187853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.157063268,0.981 +187854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.976761606,0.981 +187855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.819242239,0.981 +187856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.681950843,0.981 +187857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,9.739851097,0.981 +187858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.744861535,0.981 +187859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.970367252,0.981 +187861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.372414121,0.981 +187862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.574368675,0.981 +187863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.688306208,0.981 +187864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.151613976,0.981 +187860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.408076049,0.981 +187866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.82394188,0.981 +187865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.239711405,0.981 +187867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.509057175,0.981 +187868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.103532395,0.981 +187869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.287669822,0.981 +187871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.740093768,0.981 +187870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.421316932,0.981 +187872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.111421192,0.981 +187873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.752302998,0.981 +187874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.688164775,0.981 +187875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.516452009,0.981 +187878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.877635044,0.981 +187877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.943596585,0.981 +187879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.804934929,0.981 +187880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.968449259,0.981 +187881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.101181955,0.981 +187882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.838351918,0.981 +187876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.432363164,0.981 +187883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.037703314,0.981 +187886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.351602429,0.981 +187884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.185680777,0.981 +187885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,-1.192967558,0.981 +187887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.835431781,0.981 +187888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.692982816,0.981 +187889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.052868018,0.981 +187890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.105402733,0.981 +187891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.059413701,0.981 +187893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.248997373,0.981 +187894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,-0.705074099,0.981 +187895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.602786528,0.981 +187896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.709911251,0.981 +187892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.743329067,0.981 +187897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.162464545,0.981 +187898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.788323004,0.981 +187901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.764941972,0.981 +187899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.404474729,0.981 +187900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.835271982,0.981 +187903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.427482993,0.981 +187904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.033932291,0.981 +187902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,9.659980331,0.981 +187905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.930513022,0.981 +187906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.89891465,0.981 +187907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.469573107,0.981 +187909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.204975236,0.981 +187908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.926539292,0.981 +187911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.965239486,0.981 +187910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.096324965,0.981 +187913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.050451821,0.981 +187912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.985057361,0.981 +187915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.407762881,0.981 +187914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.47874265,0.981 +187916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.882144525,0.981 +187917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.490236567,0.981 +187918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.275035242,0.981 +187919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.441797534,0.981 +187921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.672826054,0.981 +187922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.084862222,0.981 +187923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.943695644,0.981 +187920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.470424944,0.981 +187924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.932333852,0.981 +187926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,8.853177266,0.981 +187925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.32251507,0.981 +187927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.764068939,0.981 +187928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.327505966,0.981 +187929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.074504167,0.981 +187931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.605091284,0.981 +187930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.677065946,0.981 +187932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.729996737,0.981 +187933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.737161003,0.981 +187934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.570272351,0.981 +187935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.825804932,0.981 +187937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.55528027,0.981 +187936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.944770492,0.981 +187939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.898592546,0.981 +187940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.646791877,0.981 +187938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.296897552,0.981 +187941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.164252596,0.981 +187942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.150298874,0.981 +187944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.972024625,0.981 +187943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.515289635,0.981 +187946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,8.974063317,0.981 +187947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.543787557,0.981 +187948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.016084241,0.981 +187945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.053434996,0.981 +187949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.715372124,0.981 +187951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.720119116,0.981 +187950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.187904874,0.981 +187953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.124150261,0.981 +187952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.755096149,0.981 +187954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.284068964,0.981 +187956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,9.048495532,0.981 +187957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.15527221,0.981 +187955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,5.22991145,0.981 +187960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,8.255292136,0.981 +187961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.450975374,0.981 +187958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.506210506,0.981 +187963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.886666717,0.981 +187959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.012309863,0.981 +187964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.352643487,0.981 +187966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.139327875,0.981 +187965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.19770136,0.981 +187962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.03149664,0.981 +187967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.778679127,0.981 +187968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.289566995,0.981 +187969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.757455672,0.981 +187971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.790253891,0.981 +187972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,8.34983302,0.981 +187970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.065762412,0.981 +187973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.490221068,0.981 +187974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.423263717,0.981 +187976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.853161589,0.981 +187975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.523113478,0.981 +187977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.355222767,0.981 +187979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.924894581,0.981 +187978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,4.5067471,0.981 +187980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,8.95937949,0.981 +187983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.043536613,0.981 +187982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.84192439,0.981 +187981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.2751083,0.981 +187984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,0.540573455,0.981 +187985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.186057111,0.981 +187986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.232415329,0.981 +187988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,9.381746302,0.981 +187987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.941214503,0.981 +187990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.310972457,0.981 +187989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.672642127,0.981 +187991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,8.689883241,0.981 +187992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.006425904,0.981 +187994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.766048836,0.981 +187995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.486973868,0.981 +187996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,2.931366065,0.981 +187993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,6.344965439,0.981 +187997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,9.617485261,0.981 +187998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,1.101650201,0.981 +187999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,7.645653343,0.981 +188000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,8,1,3.037488371,0.981 +197001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.324075535,0.947 +197003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.922471421,0.947 +197002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.472806203,0.947 +197005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.277277733,0.947 +197004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.658722143,0.947 +197007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.780901976,0.947 +197008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.019451355,0.947 +197009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.486951648,0.947 +197010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.840580039,0.947 +197006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.465521895,0.947 +197012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.438466924,0.947 +197011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.922203578,0.947 +197013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.253478013,0.947 +197015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.221096975,0.947 +197014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.361011031,0.947 +197016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.77241439,0.947 +197017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.869549126,0.947 +197018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.066958218,0.947 +197020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.339132287,0.947 +197019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.27322694,0.947 +197021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.073126671,0.947 +197022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.06892357,0.947 +197023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.7698608,0.947 +197024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.70838331,0.947 +197025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.297958362,0.947 +197026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-0.569016858,0.947 +197027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.641722723,0.947 +197029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,12.27447063,0.947 +197030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.494682275,0.947 +197028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.865046567,0.947 +197031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.482178907,0.947 +197033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.652185718,0.947 +197034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.970693077,0.947 +197032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.756162825,0.947 +197035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.548904956,0.947 +197036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.949451634,0.947 +197037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.802796503,0.947 +197038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.469760603,0.947 +197039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.403079182,0.947 +197041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.233103886,0.947 +197040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.089781794,0.947 +197042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.075257904,0.947 +197043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.061942012,0.947 +197044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.295128572,0.947 +197045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.377047616,0.947 +197047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.617025923,0.947 +197046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.302699999,0.947 +197048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.404475409,0.947 +197049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.810644418,0.947 +197050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,9.456256691,0.947 +197051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.065171528,0.947 +197052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.963118754,0.947 +197053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.830267825,0.947 +197054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.444909311,0.947 +197055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.93728185,0.947 +197056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.692853442,0.947 +197057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.627353679,0.947 +197058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,10.86719926,0.947 +197060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.102477989,0.947 +197061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.739941987,0.947 +197059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.821613408,0.947 +197062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.189082494,0.947 +197064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.392963525,0.947 +197063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,9.32627871,0.947 +197065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.062257347,0.947 +197066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-1.250230956,0.947 +197067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.395315663,0.947 +197068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.066684912,0.947 +197069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.848245073,0.947 +197070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.779771798,0.947 +197071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.386288776,0.947 +197072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.068130501,0.947 +197074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.480470218,0.947 +197073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.674795511,0.947 +197075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.164051374,0.947 +197076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.594596769,0.947 +197078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.15463421,0.947 +197077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-0.08264061,0.947 +197080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.520407394,0.947 +197079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,15.2173914,0.947 +197083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.079222245,0.947 +197082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.58379536,0.947 +197084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.726506225,0.947 +197086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.105037795,0.947 +197085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.600053641,0.947 +197087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.620230765,0.947 +197081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.228868721,0.947 +197088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.789069889,0.947 +197089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.583391583,0.947 +197091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.979182282,0.947 +197090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.566737669,0.947 +197092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.929161774,0.947 +197094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.179789332,0.947 +197093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.278179753,0.947 +197095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,9.22229012,0.947 +197096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.581937956,0.947 +197098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.885561966,0.947 +197097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.34035827,0.947 +197099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.26512115,0.947 +197100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.413774206,0.947 +197101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.204755406,0.947 +197103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.896236046,0.947 +197104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.558100649,0.947 +197105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.08987566,0.947 +197106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.007469702,0.947 +197102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.937506037,0.947 +197108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.595151873,0.947 +197107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.436661173,0.947 +197110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.757330757,0.947 +197109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.317321541,0.947 +197112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.548787584,0.947 +197111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.450843965,0.947 +197115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.461660766,0.947 +197116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,11.20427879,0.947 +197114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.465851093,0.947 +197113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.054638902,0.947 +197118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.342058815,0.947 +197119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.092782992,0.947 +197117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.804479561,0.947 +197121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.546930327,0.947 +197122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.319336037,0.947 +197123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.774751579,0.947 +197120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.39609645,0.947 +197124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,9.622994351,0.947 +197126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.226244626,0.947 +197125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.524066432,0.947 +197127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.750935384,0.947 +197128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-0.073417732,0.947 +197129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,9.543023308,0.947 +197130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.050448325,0.947 +197131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.749136847,0.947 +197132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.063388434,0.947 +197133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.640801604,0.947 +197134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.362714846,0.947 +197135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.184232316,0.947 +197137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.746338512,0.947 +197138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.016171814,0.947 +197136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.227770615,0.947 +197141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.569198199,0.947 +197140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.142569282,0.947 +197142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.217465767,0.947 +197139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-0.187926546,0.947 +197143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.73739631,0.947 +197144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.226168898,0.947 +197145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.151424249,0.947 +197147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.938572842,0.947 +197148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.752594222,0.947 +197146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.480389615,0.947 +197149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-0.095808078,0.947 +197150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.070910045,0.947 +197151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.271163433,0.947 +197152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.108758202,0.947 +197153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.325985054,0.947 +197154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.170995136,0.947 +197155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.375657082,0.947 +197157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.533390753,0.947 +197158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.165168582,0.947 +197156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.243897877,0.947 +197159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.196164111,0.947 +197160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.858002993,0.947 +197161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.361590419,0.947 +197163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-2.166349036,0.947 +197162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.163502384,0.947 +197164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.401322767,0.947 +197165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.206663614,0.947 +197166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.654499219,0.947 +197167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.75975127,0.947 +197168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.156003336,0.947 +197171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.81254704,0.947 +197169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.829058703,0.947 +197172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.822073304,0.947 +197170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.584246217,0.947 +197175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.287056133,0.947 +197174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.030440035,0.947 +197176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.00141078,0.947 +197177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.249050572,0.947 +197178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,10.60950978,0.947 +197179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.100871506,0.947 +197173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.015710506,0.947 +197180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.11715105,0.947 +197181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.24806896,0.947 +197182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.981511429,0.947 +197184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-1.378828574,0.947 +197183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,11.04840373,0.947 +197185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.462164781,0.947 +197186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.681838825,0.947 +197188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.449627942,0.947 +197187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.519109283,0.947 +197189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,13.18971924,0.947 +197190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.864269941,0.947 +197191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.365117415,0.947 +197192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.632953031,0.947 +197193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.607934187,0.947 +197194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.319470928,0.947 +197196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.694068648,0.947 +197197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.964234165,0.947 +197198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.895828926,0.947 +197199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.687725117,0.947 +197195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.526383639,0.947 +197201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.375655297,0.947 +197200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.451158073,0.947 +197203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.815701307,0.947 +197202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.115367349,0.947 +197204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.993354578,0.947 +197205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.572229248,0.947 +197207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.290262413,0.947 +197206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.335735675,0.947 +197208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.002696459,0.947 +197209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.795401878,0.947 +197210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.250196391,0.947 +197211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-0.355091281,0.947 +197212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.675595949,0.947 +197213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.167220884,0.947 +197214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.897454787,0.947 +197216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.026249075,0.947 +197217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.476017167,0.947 +197215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.744869221,0.947 +197218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.359701437,0.947 +197219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,14.17540499,0.947 +197220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.406267657,0.947 +197221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,12.86512907,0.947 +197222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.006341201,0.947 +197223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.438450141,0.947 +197224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.133289987,0.947 +197227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.573776731,0.947 +197226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.237305749,0.947 +197225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.64441394,0.947 +197228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.304391028,0.947 +197229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.528607822,0.947 +197230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.675035169,0.947 +197231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.05856807,0.947 +197232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.565045011,0.947 +197234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.432906218,0.947 +197233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.676368732,0.947 +197235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.631352466,0.947 +197236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.986736805,0.947 +197237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.209618148,0.947 +197238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.317168428,0.947 +197240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.625538579,0.947 +197241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.259233681,0.947 +197242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.418119626,0.947 +197239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.079731011,0.947 +197243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.824969319,0.947 +197244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.598946459,0.947 +197245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.999938065,0.947 +197246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.449648054,0.947 +197248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.004481815,0.947 +197247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.018771882,0.947 +197249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,13.94577201,0.947 +197251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.953651095,0.947 +197250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.450964124,0.947 +197252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.667091311,0.947 +197253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.570871935,0.947 +197254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.332321902,0.947 +197256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.992413802,0.947 +197257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.542175283,0.947 +197258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.82193659,0.947 +197255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.8199699,0.947 +197259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.987791223,0.947 +197260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.791650307,0.947 +197263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.953957535,0.947 +197261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.772339779,0.947 +197262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.929963527,0.947 +197264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.86440913,0.947 +197266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.32501656,0.947 +197265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.179055726,0.947 +197268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.25664507,0.947 +197267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.987978702,0.947 +197269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.58248827,0.947 +197271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.441247093,0.947 +197270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.146207839,0.947 +197273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,9.052100485,0.947 +197274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.665508891,0.947 +197275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.891133547,0.947 +197272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.968916502,0.947 +197276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.408785774,0.947 +197278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.248991622,0.947 +197279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.494681103,0.947 +197277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.996852395,0.947 +197280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-1.014302194,0.947 +197281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.70211015,0.947 +197283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,10.07118731,0.947 +197282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-0.052142958,0.947 +197284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.228122526,0.947 +197285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.182336771,0.947 +197286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.804629133,0.947 +197288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.444624885,0.947 +197289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.643591921,0.947 +197290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.407848524,0.947 +197291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.492989158,0.947 +197287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.015272964,0.947 +197292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.832726638,0.947 +197293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.664881793,0.947 +197294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.784914482,0.947 +197296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.884157033,0.947 +197295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.387240117,0.947 +197297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.760631412,0.947 +197298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.390580822,0.947 +197299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.968630183,0.947 +197300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.098023688,0.947 +197301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.793583342,0.947 +197302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.653878082,0.947 +197303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.60806627,0.947 +197304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-1.289571925,0.947 +197305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.236469344,0.947 +197306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.859173959,0.947 +197307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.84729287,0.947 +197309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.265264183,0.947 +197308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.932871278,0.947 +197311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.365941044,0.947 +197310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-0.568603756,0.947 +197312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.407304577,0.947 +197314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,11.8339804,0.947 +197313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.002931323,0.947 +197316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-1.774341125,0.947 +197317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.051527219,0.947 +197315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.211259496,0.947 +197318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.080685685,0.947 +197319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.784152677,0.947 +197321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,9.05285329,0.947 +197320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.611625152,0.947 +197323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-1.032716687,0.947 +197324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.961803677,0.947 +197322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.207452818,0.947 +197326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.417549812,0.947 +197325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.262383653,0.947 +197327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.071342785,0.947 +197329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.000531058,0.947 +197328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.669586527,0.947 +197330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.981126512,0.947 +197332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.704477914,0.947 +197334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.990606836,0.947 +197333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.643239875,0.947 +197335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.557878684,0.947 +197331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.810122039,0.947 +197336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.720273076,0.947 +197337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.746575228,0.947 +197339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-0.558423101,0.947 +197340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.488314476,0.947 +197338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.579160593,0.947 +197341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.633495069,0.947 +197342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.239019008,0.947 +197344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.690117563,0.947 +197343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.556513723,0.947 +197346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.739144876,0.947 +197345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,13.70134092,0.947 +197347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,10.19527305,0.947 +197348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.172523911,0.947 +197350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.228965969,0.947 +197351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.117951007,0.947 +197352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.309378109,0.947 +197349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.041815325,0.947 +197353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.493842721,0.947 +197356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.852985816,0.947 +197355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.358363158,0.947 +197354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.915890443,0.947 +197357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.837398123,0.947 +197358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,9.51003385,0.947 +197359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,13.69048012,0.947 +197360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.865554121,0.947 +197361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.303525612,0.947 +197362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.318989397,0.947 +197363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.730017231,0.947 +197364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.748037186,0.947 +197365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.562712814,0.947 +197367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.353353147,0.947 +197368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.574761446,0.947 +197369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.49768532,0.947 +197366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.584273884,0.947 +197371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.835637929,0.947 +197370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.980016082,0.947 +197372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.244948339,0.947 +197374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.894592641,0.947 +197375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.604925693,0.947 +197376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.482149126,0.947 +197378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.08610625,0.947 +197377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.393886649,0.947 +197373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-0.44381139,0.947 +197379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.420160981,0.947 +197380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.417427012,0.947 +197381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.796843308,0.947 +197382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.411497073,0.947 +197383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,9.096560848,0.947 +197384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.439670769,0.947 +197386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.894911645,0.947 +197385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.14177678,0.947 +197388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.873715386,0.947 +197391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,10.07857087,0.947 +197389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.594407666,0.947 +197390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.104105893,0.947 +197387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.481723428,0.947 +197392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.696906071,0.947 +197393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.576611118,0.947 +197395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.247569675,0.947 +197397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.387991557,0.947 +197394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.853921959,0.947 +197398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.513803777,0.947 +197396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.001194291,0.947 +197399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.832674707,0.947 +197400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.246639592,0.947 +197402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.892826396,0.947 +197404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,9.06124245,0.947 +197401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,9.398043533,0.947 +197405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.779239931,0.947 +197403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.405958072,0.947 +197408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.440767623,0.947 +197406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.253851671,0.947 +197407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.556251467,0.947 +197409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.526297685,0.947 +197410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-1.382184459,0.947 +197411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.427976774,0.947 +197412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.2246264,0.947 +197413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.360590125,0.947 +197415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.410288472,0.947 +197416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.202849311,0.947 +197414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.937121812,0.947 +197417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.116462977,0.947 +197418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-0.114254962,0.947 +197420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.112031912,0.947 +197419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.553394088,0.947 +197422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.84721229,0.947 +197421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.570496842,0.947 +197425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.326132963,0.947 +197424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.497609346,0.947 +197426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.196289821,0.947 +197423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.952394936,0.947 +197427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.007654058,0.947 +197428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.966154621,0.947 +197429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.275713785,0.947 +197431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.202154351,0.947 +197430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.779459059,0.947 +197432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.488967427,0.947 +197433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.199349441,0.947 +197435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.120241378,0.947 +197434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.336814522,0.947 +197437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,9.391222546,0.947 +197438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.576109849,0.947 +197439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.464149156,0.947 +197436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.591237948,0.947 +197440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.945353979,0.947 +197442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.397466556,0.947 +197441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.584892164,0.947 +197444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-2.349838285,0.947 +197443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,11.86689723,0.947 +197445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.887730628,0.947 +197447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.605091263,0.947 +197446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.293342015,0.947 +197448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.473670753,0.947 +197449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.845728622,0.947 +197451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.334441451,0.947 +197452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.082096033,0.947 +197453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.777442682,0.947 +197450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.202860829,0.947 +197454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.77060897,0.947 +197456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-1.609846029,0.947 +197457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.437391046,0.947 +197458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-0.955336534,0.947 +197455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,10.54482195,0.947 +197460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.798643355,0.947 +197459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-0.321162626,0.947 +197462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.218402143,0.947 +197463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.444100224,0.947 +197461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.080723419,0.947 +197464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.781867808,0.947 +197467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.159571725,0.947 +197466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.980767307,0.947 +197465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.6392039,0.947 +197468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.439092104,0.947 +197469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.711114287,0.947 +197471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.211658398,0.947 +197473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.438407737,0.947 +197472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,10.66298409,0.947 +197470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,9.849480061,0.947 +197476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.97038212,0.947 +197477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.885556492,0.947 +197475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.935096251,0.947 +197474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.380573202,0.947 +197479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-0.06924324,0.947 +197480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.335750197,0.947 +197481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.99433509,0.947 +197482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.415885173,0.947 +197478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.081772298,0.947 +197483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.106928373,0.947 +197484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.053513764,0.947 +197487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.698913466,0.947 +197488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.015996794,0.947 +197486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.849132146,0.947 +197485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.344127156,0.947 +197491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,10.25659831,0.947 +197490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.374294325,0.947 +197489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.194331725,0.947 +197492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,11.32839034,0.947 +197493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.977569076,0.947 +197496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.455549236,0.947 +197495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.229640513,0.947 +197494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.355067087,0.947 +197498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.383649276,0.947 +197499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,11.07459583,0.947 +197500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.584869416,0.947 +197497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.36312356,0.947 +197502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.73076736,0.947 +197503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.190035466,0.947 +197504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.482419518,0.947 +197505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-0.647146644,0.947 +197501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.147426911,0.947 +197507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.52301053,0.947 +197506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.452613619,0.947 +197509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.699156563,0.947 +197510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.045963736,0.947 +197508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.824672698,0.947 +197511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.627365223,0.947 +197512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.329641263,0.947 +197514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.371225882,0.947 +197515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.720233237,0.947 +197516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.475740341,0.947 +197513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.542865885,0.947 +197517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.738964382,0.947 +197519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.94247763,0.947 +197518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.987727424,0.947 +197521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.303398936,0.947 +197520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.364863534,0.947 +197525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-0.67130313,0.947 +197523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.263439261,0.947 +197522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.620283792,0.947 +197524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.779344657,0.947 +197526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.720560169,0.947 +197527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.026143958,0.947 +197528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.968780965,0.947 +197529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.791274005,0.947 +197530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.470552113,0.947 +197532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.655607619,0.947 +197533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,10.75172505,0.947 +197531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.415769094,0.947 +197535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.060577741,0.947 +197536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.287960064,0.947 +197537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.310371794,0.947 +197534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.781623262,0.947 +197538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-0.994723153,0.947 +197539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.748896267,0.947 +197541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.113031638,0.947 +197540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.331050156,0.947 +197542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.856394868,0.947 +197543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.201065869,0.947 +197544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.977316465,0.947 +197545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.275982662,0.947 +197546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.575350121,0.947 +197547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.420978124,0.947 +197548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-1.999724456,0.947 +197550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.605661094,0.947 +197549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.875538698,0.947 +197551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.160338362,0.947 +197554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.251550668,0.947 +197555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.587748594,0.947 +197552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-0.554073103,0.947 +197553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,9.362660166,0.947 +197558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.83534947,0.947 +197557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.758921715,0.947 +197559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.814477183,0.947 +197556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.735249106,0.947 +197560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.254762813,0.947 +197562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.765033231,0.947 +197561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.157869956,0.947 +197563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.612049283,0.947 +197564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.721972102,0.947 +197565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.86829653,0.947 +197566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.203773966,0.947 +197567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.459841368,0.947 +197570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.16717431,0.947 +197569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.436187284,0.947 +197568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.501434409,0.947 +197572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.029837236,0.947 +197573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.210480631,0.947 +197574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.258181327,0.947 +197575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.570219395,0.947 +197576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.116977037,0.947 +197571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.959929948,0.947 +197577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.92550032,0.947 +197578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.010853694,0.947 +197579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.632397654,0.947 +197581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,12.44400855,0.947 +197580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.105155102,0.947 +197582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.951966273,0.947 +197583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.808049647,0.947 +197585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.223688263,0.947 +197584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.99675578,0.947 +197586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.485914175,0.947 +197587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.809888293,0.947 +197589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.489197117,0.947 +197590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.863374736,0.947 +197588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.132400048,0.947 +197591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.261222724,0.947 +197592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.629640752,0.947 +197593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.380023877,0.947 +197595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,9.055748408,0.947 +197596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.783203012,0.947 +197597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.813952339,0.947 +197594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-0.259088646,0.947 +197598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.271545641,0.947 +197600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.707160317,0.947 +197601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.863707174,0.947 +197599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.560557205,0.947 +197602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.864466892,0.947 +197603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.467415115,0.947 +197605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.655731345,0.947 +197604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.172042433,0.947 +197606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.601147389,0.947 +197607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.548576986,0.947 +197608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.10518717,0.947 +197610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.843030566,0.947 +197611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.056233417,0.947 +197612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.17325982,0.947 +197609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.392839503,0.947 +197613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.38536615,0.947 +197615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.594756278,0.947 +197614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.028221551,0.947 +197616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.709344352,0.947 +197617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.467907909,0.947 +197618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.175018861,0.947 +197619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.5007408,0.947 +197621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.763292012,0.947 +197620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.821499765,0.947 +197622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.392187692,0.947 +197623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-0.087776271,0.947 +197624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.986906758,0.947 +197625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,9.536166436,0.947 +197626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.857748478,0.947 +197627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.080912315,0.947 +197629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.221793684,0.947 +197628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.192581691,0.947 +197630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.969156692,0.947 +197631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.412456571,0.947 +197632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,9.364267107,0.947 +197634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.74470083,0.947 +197633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.510133922,0.947 +197636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.916236644,0.947 +197637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.620755696,0.947 +197635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.859941239,0.947 +197638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.268427764,0.947 +197639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.47629204,0.947 +197640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.728732016,0.947 +197641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.720148591,0.947 +197644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-0.589342483,0.947 +197643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.709843673,0.947 +197642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.908788946,0.947 +197645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.457747175,0.947 +197646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.932409218,0.947 +197647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.149221109,0.947 +197650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-2.556519294,0.947 +197651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.257499045,0.947 +197649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.823473256,0.947 +197648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.348227999,0.947 +197652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.383280533,0.947 +197653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.129247889,0.947 +197655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.065264881,0.947 +197654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.439315892,0.947 +197658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.074952585,0.947 +197659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.303182399,0.947 +197656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.934754591,0.947 +197657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.745634258,0.947 +197661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.499114842,0.947 +197660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.719940594,0.947 +197662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.811693185,0.947 +197663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.910605751,0.947 +197664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.25642343,0.947 +197665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.726025062,0.947 +197666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.958253426,0.947 +197667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.60403862,0.947 +197670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.5802478,0.947 +197671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.498863732,0.947 +197669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.367385512,0.947 +197674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.506268382,0.947 +197668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.838162825,0.947 +197672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.325892802,0.947 +197673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.87204625,0.947 +197676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-0.134701771,0.947 +197677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-1.267687579,0.947 +197675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.914829272,0.947 +197678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.508228053,0.947 +197679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.182061699,0.947 +197680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.700967222,0.947 +197682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.603190214,0.947 +197681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.22988708,0.947 +197683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.490404578,0.947 +197684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.555187413,0.947 +197685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.443333409,0.947 +197686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.398898076,0.947 +197688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.056776715,0.947 +197689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.305180118,0.947 +197690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.827534837,0.947 +197687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.994380053,0.947 +197692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.760185239,0.947 +197691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.977318291,0.947 +197694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.695173104,0.947 +197695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.038603049,0.947 +197696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.476764331,0.947 +197697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.81062335,0.947 +197698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.762982205,0.947 +197699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.171841846,0.947 +197700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,11.47140481,0.947 +197693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.227592862,0.947 +197701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.180017001,0.947 +197702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,14.60754519,0.947 +197703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.254815679,0.947 +197704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.461620344,0.947 +197705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.165061189,0.947 +197706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-0.752848617,0.947 +197708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.138860367,0.947 +197707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.726458863,0.947 +197709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.356660337,0.947 +197710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-1.090388207,0.947 +197712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.42221938,0.947 +197711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.345239818,0.947 +197713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.530073303,0.947 +197714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.055309654,0.947 +197715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.023720318,0.947 +197716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.333083395,0.947 +197717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.609223529,0.947 +197718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.566829728,0.947 +197719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.24091782,0.947 +197722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-1.50707222,0.947 +197720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.780889396,0.947 +197721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.256339982,0.947 +197723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.189639596,0.947 +197724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-0.322017941,0.947 +197726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.33437384,0.947 +197725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.644218923,0.947 +197727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.385979194,0.947 +197728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.783496979,0.947 +197730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.851100818,0.947 +197729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.226722012,0.947 +197732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.709705063,0.947 +197733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.839398372,0.947 +197734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.514609247,0.947 +197731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.0635911,0.947 +197737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.935965799,0.947 +197736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.736546399,0.947 +197735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,11.70098858,0.947 +197738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.049170786,0.947 +197740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.978441755,0.947 +197739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.568188723,0.947 +197741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.752208164,0.947 +197742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.492618992,0.947 +197744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,10.58689097,0.947 +197743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.795354723,0.947 +197745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.45475801,0.947 +197746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.860640726,0.947 +197747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.970634221,0.947 +197748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.021640987,0.947 +197749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.552645979,0.947 +197751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,9.546136735,0.947 +197752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.148694265,0.947 +197750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.776656843,0.947 +197753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.106227682,0.947 +197754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.613049177,0.947 +197756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,20.41603012,0.947 +197755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,13.73365582,0.947 +197757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.324823613,0.947 +197758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,9.82024239,0.947 +197760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.964844799,0.947 +197759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,9.377690535,0.947 +197761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.341847747,0.947 +197762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.868218303,0.947 +197763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.068527628,0.947 +197764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-0.249948004,0.947 +197765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.354003834,0.947 +197766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.630343559,0.947 +197767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.846822619,0.947 +197769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.06343088,0.947 +197768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.254205733,0.947 +197770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.125519319,0.947 +197771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.121957615,0.947 +197772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.275217034,0.947 +197775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.254580195,0.947 +197773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.049531863,0.947 +197774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-0.074004063,0.947 +197776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-1.042518372,0.947 +197777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.671667544,0.947 +197779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.292127322,0.947 +197778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.088719086,0.947 +197780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.476458354,0.947 +197782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.28795482,0.947 +197781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.064648791,0.947 +197784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.219547665,0.947 +197785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.864589368,0.947 +197787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.949136459,0.947 +197786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.695121275,0.947 +197783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.794554236,0.947 +197788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.817033938,0.947 +197789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.282206647,0.947 +197790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.378166334,0.947 +197792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.505397795,0.947 +197791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.757688162,0.947 +197793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.334444588,0.947 +197794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.625960703,0.947 +197795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.010727289,0.947 +197797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-0.251287164,0.947 +197798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.518851163,0.947 +197796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.672299199,0.947 +197799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,12.67204797,0.947 +197800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-1.275732633,0.947 +197801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.46588985,0.947 +197803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.378323241,0.947 +197802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.503171997,0.947 +197804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-1.156779216,0.947 +197806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.992485785,0.947 +197805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.441888988,0.947 +197808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,10.95783271,0.947 +197810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.998519875,0.947 +197807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.508872077,0.947 +197809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.656302344,0.947 +197811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.125041392,0.947 +197812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.755761029,0.947 +197813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.673521821,0.947 +197814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,9.353997876,0.947 +197815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.26855715,0.947 +197816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.133947572,0.947 +197817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.091259412,0.947 +197818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.335192384,0.947 +197819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.580617821,0.947 +197820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-0.158723049,0.947 +197821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-0.048984233,0.947 +197822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.057706218,0.947 +197823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.848610105,0.947 +197824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.170063735,0.947 +197826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.920183366,0.947 +197827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.639404815,0.947 +197828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.055609682,0.947 +197829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.326392392,0.947 +197825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.082764977,0.947 +197830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.457061823,0.947 +197831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.350192901,0.947 +197832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.800528719,0.947 +197833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.802895646,0.947 +197834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.257705663,0.947 +197835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.195087361,0.947 +197836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.657462759,0.947 +197837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.873930993,0.947 +197838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.568344578,0.947 +197839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.374784768,0.947 +197841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.178996105,0.947 +197840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.344483255,0.947 +197842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,13.14300138,0.947 +197843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.691125167,0.947 +197845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.492639272,0.947 +197846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.059565565,0.947 +197844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.003794245,0.947 +197847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.971845817,0.947 +197848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-0.994860447,0.947 +197849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.664963391,0.947 +197850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.718699656,0.947 +197851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.714213264,0.947 +197852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.24661865,0.947 +197853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,10.77223146,0.947 +197854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.909054594,0.947 +197855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.205975176,0.947 +197856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.758478674,0.947 +197857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.527643796,0.947 +197859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.110481225,0.947 +197858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.47869135,0.947 +197860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,9.778867274,0.947 +197861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.245305286,0.947 +197863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.66527867,0.947 +197864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.42154027,0.947 +197865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.912735871,0.947 +197862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.782143218,0.947 +197868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,10.56184056,0.947 +197866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,11.86269111,0.947 +197867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.774177005,0.947 +197870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.715350132,0.947 +197869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.657521925,0.947 +197871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.789147331,0.947 +197872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.362201347,0.947 +197874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.627242039,0.947 +197876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.424107887,0.947 +197873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.506988842,0.947 +197875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.103384731,0.947 +197878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.523805364,0.947 +197879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,9.114776557,0.947 +197880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.235956216,0.947 +197877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,10.2043406,0.947 +197881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.864193174,0.947 +197882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.589928071,0.947 +197883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.627408232,0.947 +197885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.29668331,0.947 +197886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.934767848,0.947 +197884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.098887149,0.947 +197890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,9.584023722,0.947 +197887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.137098983,0.947 +197888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.441907963,0.947 +197889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.943925188,0.947 +197891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.203970805,0.947 +197893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.495020581,0.947 +197894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.084309641,0.947 +197892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.66098358,0.947 +197895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.317337603,0.947 +197896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.137736369,0.947 +197897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.512592936,0.947 +197898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.339790258,0.947 +197900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.987246756,0.947 +197901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.3385182,0.947 +197902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.465869728,0.947 +197899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.81955733,0.947 +197903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.829024434,0.947 +197904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,9.655636931,0.947 +197906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.550440623,0.947 +197907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.442656206,0.947 +197905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.801580932,0.947 +197908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.40241314,0.947 +197909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.018184181,0.947 +197910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.244554911,0.947 +197911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.634094558,0.947 +197913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.624738699,0.947 +197912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.856024807,0.947 +197914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.674499079,0.947 +197915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.646325869,0.947 +197917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.979432353,0.947 +197916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.230961425,0.947 +197919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.429731727,0.947 +197918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,9.149115609,0.947 +197920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.779638612,0.947 +197921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.986204461,0.947 +197922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.04752882,0.947 +197923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.522908199,0.947 +197925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.186373558,0.947 +197927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.19340886,0.947 +197926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.655395164,0.947 +197928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.917099559,0.947 +197924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.311930808,0.947 +197929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.592310436,0.947 +197930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,9.102395081,0.947 +197932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.181253228,0.947 +197931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.998096404,0.947 +197933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.803138422,0.947 +197934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.654718948,0.947 +197935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.935049068,0.947 +197936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.780502792,0.947 +197937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.621822156,0.947 +197938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.951740065,0.947 +197939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.597010598,0.947 +197940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.662697796,0.947 +197941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.139258581,0.947 +197942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,10.0893313,0.947 +197944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.171228355,0.947 +197945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,11.24277266,0.947 +197946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.0353972,0.947 +197948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.157257698,0.947 +197947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.676736273,0.947 +197949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.067370202,0.947 +197943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.472789342,0.947 +197951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.427816789,0.947 +197950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.934189566,0.947 +197952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.49691288,0.947 +197953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.864156027,0.947 +197954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.676560687,0.947 +197955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.648117322,0.947 +197956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.26495911,0.947 +197958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.385857649,0.947 +197957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.628109833,0.947 +197959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.729759236,0.947 +197960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.718284048,0.947 +197961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-0.130195942,0.947 +197963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,9.269583786,0.947 +197964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,10.14923849,0.947 +197965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-0.174297388,0.947 +197962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,9.120491706,0.947 +197966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.032777728,0.947 +197967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.14822868,0.947 +197969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.586910303,0.947 +197968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.728559562,0.947 +197970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.419142236,0.947 +197971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-0.059906419,0.947 +197972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.978956984,0.947 +197973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,3.145913978,0.947 +197974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.291236628,0.947 +197975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,5.118376028,0.947 +197976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.291789782,0.947 +197977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.164116818,0.947 +197978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.436082345,0.947 +197979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.774233043,0.947 +197980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,0.908667201,0.947 +197982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.206532674,0.947 +197981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.616488389,0.947 +197983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.777234911,0.947 +197984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,7.8302575,0.947 +197985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.372864706,0.947 +197986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.021869575,0.947 +197988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.277003724,0.947 +197989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.004817479,0.947 +197987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.653781213,0.947 +197990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-0.289856782,0.947 +197991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,2.768969021,0.947 +197992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,-2.263173155,0.947 +197994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.201484066,0.947 +197993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.452612407,0.947 +197996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.357934572,0.947 +197998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.97055371,0.947 +197995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,8.030134958,0.947 +197997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,6.505987565,0.947 +197999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,4.532468295,0.947 +198000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,8,1,1.059423435,0.947 +207001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.515905986,0.916 +207002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.87182455,0.916 +207003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.921509621,0.916 +207004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.492174677,0.916 +207005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.479555001,0.916 +207008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.944597036,0.916 +207007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.239776541,0.916 +207009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.751587114,0.916 +207006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.511857003,0.916 +207010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.809167463,0.916 +207012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.548685908,0.916 +207013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.723955667,0.916 +207011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.749147381,0.916 +207015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.55892629,0.916 +207014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.039460269,0.916 +207016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.021844559,0.916 +207017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.621693783,0.916 +207018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.705823071,0.916 +207019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.41311349,0.916 +207020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.902821978,0.916 +207021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.219166747,0.916 +207023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.024022539,0.916 +207022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.659385393,0.916 +207025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.548262251,0.916 +207026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.425675263,0.916 +207027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.284691182,0.916 +207024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.518456348,0.916 +207028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.360843634,0.916 +207031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.004001511,0.916 +207030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.331855663,0.916 +207029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.781768435,0.916 +207033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.68966635,0.916 +207034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.609316016,0.916 +207032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.608473543,0.916 +207035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.505093595,0.916 +207036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.762678307,0.916 +207037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.150631099,0.916 +207039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.783173882,0.916 +207038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.349892219,0.916 +207041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.680621466,0.916 +207042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.384973232,0.916 +207040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.56352132,0.916 +207043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.507219302,0.916 +207045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.963580342,0.916 +207046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,11.81189577,0.916 +207044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.281350714,0.916 +207047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.757114151,0.916 +207048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,17.86960766,0.916 +207049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.290596141,0.916 +207050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-2.836369374,0.916 +207051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.628430939,0.916 +207052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,10.09416879,0.916 +207053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.857139293,0.916 +207054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.799839046,0.916 +207056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-1.892019111,0.916 +207055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,13.03411985,0.916 +207057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.956586187,0.916 +207058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.724341079,0.916 +207059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.462435752,0.916 +207061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.692698967,0.916 +207062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.58992862,0.916 +207063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.379894121,0.916 +207064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.575364077,0.916 +207065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.351747457,0.916 +207060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-2.623211416,0.916 +207066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.673902049,0.916 +207067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.884376228,0.916 +207068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.9518408,0.916 +207070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.474848362,0.916 +207071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.256332963,0.916 +207072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,11.43490556,0.916 +207069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.985505409,0.916 +207073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.076246134,0.916 +207074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.752712647,0.916 +207076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.908499949,0.916 +207075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.965948144,0.916 +207078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,11.10734535,0.916 +207077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.293020673,0.916 +207079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.930786422,0.916 +207080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.632702077,0.916 +207081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.597369742,0.916 +207082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.588125216,0.916 +207084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.741210799,0.916 +207085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.744107354,0.916 +207086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.788016393,0.916 +207087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.358013066,0.916 +207083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.397742218,0.916 +207088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.709656662,0.916 +207089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.109215032,0.916 +207090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.075804086,0.916 +207091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.946283346,0.916 +207092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.620789092,0.916 +207093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.379567731,0.916 +207094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.859153797,0.916 +207095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.810826615,0.916 +207097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.373810334,0.916 +207096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.139560354,0.916 +207098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.472118081,0.916 +207099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.509706911,0.916 +207100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.087105356,0.916 +207101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-4.284827119,0.916 +207102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.598430166,0.916 +207104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.354938186,0.916 +207105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.305920462,0.916 +207106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.210992985,0.916 +207103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.5685335,0.916 +207107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.919354206,0.916 +207108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.671213373,0.916 +207109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.515601873,0.916 +207110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.656230414,0.916 +207111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,13.1216097,0.916 +207112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.811078057,0.916 +207113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.154466059,0.916 +207115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.471812071,0.916 +207114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.038355569,0.916 +207116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.49372946,0.916 +207117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.064805573,0.916 +207118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.795735025,0.916 +207119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.252323937,0.916 +207120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-1.111301313,0.916 +207121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.507859696,0.916 +207122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.277651863,0.916 +207124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.30926163,0.916 +207123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.286695174,0.916 +207125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.10148279,0.916 +207126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.340707477,0.916 +207127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.34935979,0.916 +207128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,11.89121614,0.916 +207129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.700638918,0.916 +207130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.981955488,0.916 +207131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.118157292,0.916 +207132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.511868414,0.916 +207133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,11.32391606,0.916 +207134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.040997274,0.916 +207135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.164758588,0.916 +207137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.196324069,0.916 +207138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.39100206,0.916 +207139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,10.82826317,0.916 +207140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,11.36664305,0.916 +207141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.656637578,0.916 +207136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.347171182,0.916 +207142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.434712508,0.916 +207143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.293491206,0.916 +207144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.938220146,0.916 +207145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.130548838,0.916 +207146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.91523201,0.916 +207147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.16974392,0.916 +207148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,10.3297823,0.916 +207149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.342599171,0.916 +207150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.443843907,0.916 +207152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.129385277,0.916 +207151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.846509176,0.916 +207153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.259863474,0.916 +207154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.598777823,0.916 +207156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.336646931,0.916 +207155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.878301075,0.916 +207158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,10.91728676,0.916 +207159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.340992261,0.916 +207160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.809821783,0.916 +207161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.965689146,0.916 +207162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.871591539,0.916 +207163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.145760333,0.916 +207157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.69488513,0.916 +207164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.458668105,0.916 +207166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.484015296,0.916 +207167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.297197212,0.916 +207165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.283620455,0.916 +207168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-1.038846428,0.916 +207171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.433606548,0.916 +207169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.572055998,0.916 +207170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.731847969,0.916 +207172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.619745695,0.916 +207173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.862695739,0.916 +207175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.515320159,0.916 +207176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.682447303,0.916 +207174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.906392917,0.916 +207177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,11.0248472,0.916 +207179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.568546002,0.916 +207180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.077134314,0.916 +207181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.499072389,0.916 +207178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.228391535,0.916 +207183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,12.59765173,0.916 +207182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.242724397,0.916 +207184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.777689097,0.916 +207185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.772684668,0.916 +207186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.556587316,0.916 +207188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.378836252,0.916 +207187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.866765313,0.916 +207189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.189176413,0.916 +207190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.911190002,0.916 +207191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.107322034,0.916 +207192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.231925054,0.916 +207195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.880789524,0.916 +207194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.031770945,0.916 +207193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.839884305,0.916 +207196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.137990162,0.916 +207198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.255416034,0.916 +207199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.780626599,0.916 +207200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.592363514,0.916 +207197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.518667207,0.916 +207201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,13.98456378,0.916 +207203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.648248438,0.916 +207202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.537679463,0.916 +207204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,11.95809568,0.916 +207205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,11.94656577,0.916 +207206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,10.91005952,0.916 +207208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.694350208,0.916 +207207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.226621775,0.916 +207210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.964868049,0.916 +207209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.287900441,0.916 +207211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.835616422,0.916 +207213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.992674881,0.916 +207212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.13947028,0.916 +207215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.77956108,0.916 +207216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.711112599,0.916 +207217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.883119909,0.916 +207218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.955316055,0.916 +207214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,10.45700405,0.916 +207219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.867207443,0.916 +207220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.442488874,0.916 +207221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,11.05881591,0.916 +207223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.648575013,0.916 +207222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.002335793,0.916 +207224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.527413901,0.916 +207225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.187298705,0.916 +207227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,10.89259778,0.916 +207226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.967245071,0.916 +207228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.673504778,0.916 +207229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.458919718,0.916 +207230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.151018795,0.916 +207231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.826533702,0.916 +207232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.002710045,0.916 +207233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.624053006,0.916 +207234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.943097202,0.916 +207235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.837984066,0.916 +207237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.662773681,0.916 +207236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.248330281,0.916 +207239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.589064607,0.916 +207240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.78281782,0.916 +207241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.316621653,0.916 +207238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.436021341,0.916 +207242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.625248987,0.916 +207245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.546550201,0.916 +207243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.030427734,0.916 +207244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.285630348,0.916 +207246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.314968863,0.916 +207247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.630492362,0.916 +207248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.573429737,0.916 +207249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,11.38017161,0.916 +207250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.608445556,0.916 +207251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.08079778,0.916 +207252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.237999665,0.916 +207253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.468854151,0.916 +207254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.262700806,0.916 +207256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.297830718,0.916 +207257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.236086999,0.916 +207255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.370068491,0.916 +207258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.266537961,0.916 +207259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.870708021,0.916 +207261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-2.173881589,0.916 +207260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.382957601,0.916 +207262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.901003262,0.916 +207264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.863404565,0.916 +207263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.982954432,0.916 +207265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.295529866,0.916 +207266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.638040753,0.916 +207267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.720915824,0.916 +207268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.161228914,0.916 +207269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.996202962,0.916 +207270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.212389512,0.916 +207272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.467907183,0.916 +207273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.590597385,0.916 +207271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.676267773,0.916 +207274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.626061703,0.916 +207275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-1.13709969,0.916 +207278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.977436529,0.916 +207277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.801046728,0.916 +207279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.723608434,0.916 +207280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.631166754,0.916 +207276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,14.02916834,0.916 +207281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.08184023,0.916 +207282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.864874228,0.916 +207285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.997644339,0.916 +207283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.288410131,0.916 +207284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.158367388,0.916 +207286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,10.68645823,0.916 +207287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.327476693,0.916 +207288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,12.84788644,0.916 +207289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.602536787,0.916 +207290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.327982493,0.916 +207291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-1.948584792,0.916 +207292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.349378451,0.916 +207293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.904142775,0.916 +207294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,10.28522171,0.916 +207295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.313729794,0.916 +207296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.918555526,0.916 +207298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.371886675,0.916 +207299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.247636374,0.916 +207300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.26384077,0.916 +207301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.296136694,0.916 +207302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.457453031,0.916 +207297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.993182663,0.916 +207303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.22728209,0.916 +207304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.619599267,0.916 +207307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.976227845,0.916 +207305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.945177293,0.916 +207306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.482337057,0.916 +207308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.658357314,0.916 +207309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.387831255,0.916 +207310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.830922278,0.916 +207311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.814552303,0.916 +207312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.270408412,0.916 +207313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.49840743,0.916 +207314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,13.46706412,0.916 +207316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.552381735,0.916 +207317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.212990858,0.916 +207318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.782443769,0.916 +207315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.913450616,0.916 +207319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,11.05751093,0.916 +207320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.232658391,0.916 +207321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.77087757,0.916 +207322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.855303473,0.916 +207323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.036407259,0.916 +207324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,10.24298265,0.916 +207325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.169378794,0.916 +207326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.621365766,0.916 +207327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-3.834505699,0.916 +207328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-3.074856944,0.916 +207329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.57194224,0.916 +207330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.681628615,0.916 +207331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.843521655,0.916 +207332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.86346437,0.916 +207333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.950485881,0.916 +207335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.566965331,0.916 +207336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.805448283,0.916 +207334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.51812048,0.916 +207337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.415425411,0.916 +207338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.828426788,0.916 +207339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.89827052,0.916 +207340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.305200253,0.916 +207341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.179089448,0.916 +207342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.500601127,0.916 +207343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.722724772,0.916 +207344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.869852459,0.916 +207345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.317053361,0.916 +207346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.337297363,0.916 +207347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.400619265,0.916 +207349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.035903432,0.916 +207350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-1.454828229,0.916 +207351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.247181203,0.916 +207352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,11.54550633,0.916 +207348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.776016696,0.916 +207353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.168250915,0.916 +207354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.48570156,0.916 +207356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.069873768,0.916 +207357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-2.912880356,0.916 +207358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.317570709,0.916 +207355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,10.00544653,0.916 +207359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.715988978,0.916 +207361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.75613142,0.916 +207360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,11.20320836,0.916 +207362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.884220714,0.916 +207364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,11.46978569,0.916 +207363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.179582414,0.916 +207365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.07487813,0.916 +207366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.566479645,0.916 +207367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.682764584,0.916 +207369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,11.2262303,0.916 +207368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.80568371,0.916 +207371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.045636407,0.916 +207372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.034593597,0.916 +207370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.054129925,0.916 +207373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.537307576,0.916 +207374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.267305719,0.916 +207375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.806669476,0.916 +207376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.434580022,0.916 +207379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.647319543,0.916 +207377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.981655996,0.916 +207378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.106042286,0.916 +207380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.228993504,0.916 +207382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.570987163,0.916 +207383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.036604902,0.916 +207381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.095002256,0.916 +207384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.99939964,0.916 +207386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.722044232,0.916 +207387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-1.823737563,0.916 +207388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.156210228,0.916 +207385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.272217546,0.916 +207389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.672536605,0.916 +207390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.396445757,0.916 +207393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.666331898,0.916 +207392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.349457369,0.916 +207394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,10.81454259,0.916 +207391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.353355838,0.916 +207396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.615633605,0.916 +207397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.391122733,0.916 +207395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,11.33400517,0.916 +207398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.187674515,0.916 +207400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.511883362,0.916 +207401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.248709192,0.916 +207402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.463593146,0.916 +207403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.398754095,0.916 +207399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,12.84493687,0.916 +207404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.087147343,0.916 +207405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.107991967,0.916 +207408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,12.23484516,0.916 +207407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,10.11264145,0.916 +207406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.883766635,0.916 +207409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.302717631,0.916 +207411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.920781887,0.916 +207412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.198089128,0.916 +207410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.582189147,0.916 +207413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.738070467,0.916 +207414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.929318513,0.916 +207416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.300532985,0.916 +207415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.355408338,0.916 +207417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.241142664,0.916 +207419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.537663878,0.916 +207420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.220838402,0.916 +207421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.032512947,0.916 +207422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.142491492,0.916 +207418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.886453753,0.916 +207424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.855655583,0.916 +207425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.643803888,0.916 +207423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.042393865,0.916 +207426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.797555419,0.916 +207427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.064178546,0.916 +207428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.708389079,0.916 +207429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-1.429768709,0.916 +207430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.020670363,0.916 +207431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.030579729,0.916 +207432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.145770094,0.916 +207433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.376306686,0.916 +207435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.089288673,0.916 +207436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-1.134914289,0.916 +207437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.292308127,0.916 +207438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.294725958,0.916 +207439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.996392631,0.916 +207434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.242178504,0.916 +207442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.295411248,0.916 +207440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-1.207305704,0.916 +207443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.260277376,0.916 +207441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.421811043,0.916 +207445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.615748325,0.916 +207444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.039664647,0.916 +207447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,11.96112687,0.916 +207446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.52368987,0.916 +207448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.474906919,0.916 +207449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.142041658,0.916 +207450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.295020775,0.916 +207451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.678404415,0.916 +207452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.748548996,0.916 +207454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.008558284,0.916 +207453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,10.99415157,0.916 +207456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.604370911,0.916 +207458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.460404055,0.916 +207455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.142461012,0.916 +207457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.79087992,0.916 +207459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.647099114,0.916 +207461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.637473235,0.916 +207460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-1.440051942,0.916 +207463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.220636135,0.916 +207462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,11.40869263,0.916 +207465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.016718577,0.916 +207466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,11.90319436,0.916 +207467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,10.48412738,0.916 +207464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.493721922,0.916 +207470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.186268261,0.916 +207468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.320123065,0.916 +207471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.180799802,0.916 +207469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,10.98967489,0.916 +207472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.180698543,0.916 +207473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.405662327,0.916 +207474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.318186782,0.916 +207475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.541972203,0.916 +207476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.914898481,0.916 +207477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.602924726,0.916 +207478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-2.056668271,0.916 +207479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.126669554,0.916 +207480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.810703438,0.916 +207481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-1.326326727,0.916 +207482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.834240218,0.916 +207483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.238220921,0.916 +207484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.841746347,0.916 +207485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.481275055,0.916 +207486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.949491912,0.916 +207488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,12.76552836,0.916 +207487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.126234229,0.916 +207489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.813649694,0.916 +207491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.141474224,0.916 +207490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.287689827,0.916 +207493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.372624272,0.916 +207492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.2596803,0.916 +207494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.706252025,0.916 +207496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.23313153,0.916 +207495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.012079014,0.916 +207498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.758710518,0.916 +207497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.99295836,0.916 +207499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.705987239,0.916 +207500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.96200551,0.916 +207502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.366698473,0.916 +207501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-2.602293568,0.916 +207503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.734696204,0.916 +207505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.52006999,0.916 +207504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.194692725,0.916 +207506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.893780208,0.916 +207507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.58081743,0.916 +207510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.402947117,0.916 +207511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.379055782,0.916 +207509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.022177061,0.916 +207508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.78724665,0.916 +207512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.944211634,0.916 +207513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.787576135,0.916 +207515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.198412809,0.916 +207514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-2.710726739,0.916 +207518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-2.433120378,0.916 +207516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.104087824,0.916 +207519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.498344018,0.916 +207517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.634076441,0.916 +207520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.419422454,0.916 +207521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.561786323,0.916 +207523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.789901018,0.916 +207526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.63004959,0.916 +207522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.24288737,0.916 +207525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.526737604,0.916 +207527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.290984167,0.916 +207528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,11.91793856,0.916 +207529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.54695758,0.916 +207524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.537922606,0.916 +207531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.261234963,0.916 +207533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.839668522,0.916 +207530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.111782257,0.916 +207532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.012343188,0.916 +207534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.514700345,0.916 +207535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.409716409,0.916 +207536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.184649826,0.916 +207537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,14.70324448,0.916 +207539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.501143232,0.916 +207540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.955304567,0.916 +207541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.230726656,0.916 +207538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.797656357,0.916 +207543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.944824912,0.916 +207544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.322824914,0.916 +207545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.078375089,0.916 +207542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.39774996,0.916 +207547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.050511526,0.916 +207546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.990623834,0.916 +207548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.394380328,0.916 +207549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.650226393,0.916 +207550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.750576834,0.916 +207551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.4040087,0.916 +207552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.866741338,0.916 +207554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.394518871,0.916 +207553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.488634349,0.916 +207555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.722249372,0.916 +207557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.672084106,0.916 +207558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.920217659,0.916 +207559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.684683711,0.916 +207556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.765842259,0.916 +207560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.9322343,0.916 +207561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.38412467,0.916 +207562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.835989032,0.916 +207563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.867548737,0.916 +207564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.30597773,0.916 +207565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.216888858,0.916 +207566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.750141984,0.916 +207567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,20.37685403,0.916 +207568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,12.87879989,0.916 +207569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-2.321131035,0.916 +207570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.841004744,0.916 +207573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.311702254,0.916 +207572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.660406993,0.916 +207574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.098595144,0.916 +207576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,10.95005168,0.916 +207571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.673867061,0.916 +207577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.467846668,0.916 +207575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.389884255,0.916 +207579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.255536252,0.916 +207578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.073513996,0.916 +207580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.667796072,0.916 +207581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.418193562,0.916 +207582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.522361869,0.916 +207583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.318229155,0.916 +207584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.436772712,0.916 +207585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.762578606,0.916 +207587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.123652883,0.916 +207586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.10820183,0.916 +207588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.685368716,0.916 +207589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.563101441,0.916 +207590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.252851505,0.916 +207592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.816676586,0.916 +207593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.555621775,0.916 +207591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.444578405,0.916 +207594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.169188308,0.916 +207596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.747188,0.916 +207597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.180420923,0.916 +207595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.802268869,0.916 +207598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.566443586,0.916 +207599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.691529279,0.916 +207600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.567381281,0.916 +207601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,12.01144989,0.916 +207602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.510485339,0.916 +207603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.172340795,0.916 +207605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.663023921,0.916 +207604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.323622917,0.916 +207606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.420102958,0.916 +207607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,10.472541,0.916 +207608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.331050287,0.916 +207610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.574597395,0.916 +207609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.119212781,0.916 +207613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.211932678,0.916 +207611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.279424811,0.916 +207612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.927961599,0.916 +207614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.001272071,0.916 +207615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.419314418,0.916 +207616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.297530272,0.916 +207619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.435543291,0.916 +207617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.835629132,0.916 +207618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.676578525,0.916 +207620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.119972605,0.916 +207622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-1.11965417,0.916 +207623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.49757088,0.916 +207624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.332945833,0.916 +207621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.104093852,0.916 +207625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.143097245,0.916 +207628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.893593841,0.916 +207626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-2.758056795,0.916 +207627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.161244877,0.916 +207630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.584068018,0.916 +207632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.781693266,0.916 +207631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.912679419,0.916 +207629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.98970657,0.916 +207633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.846521203,0.916 +207634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.985923984,0.916 +207635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.292791529,0.916 +207636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.26743274,0.916 +207638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.435424365,0.916 +207639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.485942319,0.916 +207637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.857448378,0.916 +207640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.71159611,0.916 +207643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.827037617,0.916 +207641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.1004025,0.916 +207644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.958969067,0.916 +207642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.165313303,0.916 +207645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.467829993,0.916 +207646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.315617128,0.916 +207648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,14.37084937,0.916 +207649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.330977944,0.916 +207650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,10.52615811,0.916 +207647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-2.574271511,0.916 +207651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.930410526,0.916 +207653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.744879625,0.916 +207654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.659825939,0.916 +207652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.672969881,0.916 +207656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.021894788,0.916 +207657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.385499742,0.916 +207655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,10.82170353,0.916 +207658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.872329245,0.916 +207659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.517658254,0.916 +207660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,11.40611612,0.916 +207661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.396002104,0.916 +207662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.789351713,0.916 +207663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.839366814,0.916 +207664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.409956632,0.916 +207665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.630284263,0.916 +207666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.030912449,0.916 +207667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.235309575,0.916 +207669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,11.32069359,0.916 +207668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.982563735,0.916 +207670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.769082418,0.916 +207671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.023216707,0.916 +207672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.147176851,0.916 +207673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,10.58910954,0.916 +207674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.780853393,0.916 +207675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.772900661,0.916 +207676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.683512614,0.916 +207677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.833218,0.916 +207678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.300783984,0.916 +207679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.580470758,0.916 +207680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.126300051,0.916 +207681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.98168581,0.916 +207683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.615567733,0.916 +207682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,11.08601546,0.916 +207684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-2.811818909,0.916 +207687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.010975784,0.916 +207686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-1.672766506,0.916 +207685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.304240995,0.916 +207688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.383320322,0.916 +207689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.075043775,0.916 +207691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.637151289,0.916 +207690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.038416209,0.916 +207694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,12.94928537,0.916 +207692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.159906381,0.916 +207693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.086161549,0.916 +207695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.411564654,0.916 +207697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.63817696,0.916 +207698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.336163325,0.916 +207699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.322443484,0.916 +207696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.880450214,0.916 +207701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.446518735,0.916 +207700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.173996768,0.916 +207703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,14.98609087,0.916 +207702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.124511438,0.916 +207704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.036790233,0.916 +207705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.241365794,0.916 +207707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.260663633,0.916 +207708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.555035383,0.916 +207710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.589027937,0.916 +207709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.458793525,0.916 +207706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.183185688,0.916 +207711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.71689677,0.916 +207712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.005622115,0.916 +207713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.040901228,0.916 +207716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.022647584,0.916 +207714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.136228918,0.916 +207715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-1.035291228,0.916 +207717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.466411066,0.916 +207720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.698022739,0.916 +207719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.235502618,0.916 +207721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.109954266,0.916 +207718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.038484849,0.916 +207722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.125226742,0.916 +207723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.191362224,0.916 +207725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,10.57478491,0.916 +207724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.085436139,0.916 +207726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.077801368,0.916 +207729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.282006968,0.916 +207728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.086323534,0.916 +207730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.094017642,0.916 +207732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.219500497,0.916 +207731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.66903275,0.916 +207727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,10.26383241,0.916 +207733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.937222907,0.916 +207735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.402669457,0.916 +207736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.823510038,0.916 +207734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.717234278,0.916 +207737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.134958674,0.916 +207738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.623815163,0.916 +207740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.038247975,0.916 +207739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-1.881594618,0.916 +207741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.630000963,0.916 +207742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,15.90646625,0.916 +207743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,12.18236328,0.916 +207745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.242589958,0.916 +207744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.933150676,0.916 +207747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.664360938,0.916 +207746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.924992322,0.916 +207748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.964341749,0.916 +207749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.762670917,0.916 +207750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.749431949,0.916 +207751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.521057604,0.916 +207752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.50102944,0.916 +207754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.839292579,0.916 +207755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.234781928,0.916 +207753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.539176127,0.916 +207756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.765073313,0.916 +207757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.748598389,0.916 +207758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.272160581,0.916 +207759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.104359153,0.916 +207760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,10.1099181,0.916 +207761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.467396167,0.916 +207762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.205000873,0.916 +207763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.942983806,0.916 +207764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.270750095,0.916 +207765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-2.055511994,0.916 +207766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.381350176,0.916 +207768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.805138745,0.916 +207769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.086289106,0.916 +207767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.068479344,0.916 +207770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.757122586,0.916 +207771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.412668535,0.916 +207773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.70415287,0.916 +207772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,10.46796002,0.916 +207774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.497885076,0.916 +207775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.534572378,0.916 +207776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.693880891,0.916 +207777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.272156083,0.916 +207778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.110735943,0.916 +207779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.70711741,0.916 +207780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.613259434,0.916 +207782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.445754781,0.916 +207783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.83818491,0.916 +207781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.9358054,0.916 +207785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.754087142,0.916 +207784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.788172976,0.916 +207786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.62732127,0.916 +207788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.850713913,0.916 +207790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,11.06782724,0.916 +207789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.515591465,0.916 +207787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.499187058,0.916 +207792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-1.837814371,0.916 +207791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.099544076,0.916 +207794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.506052009,0.916 +207793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.89823071,0.916 +207795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.140346048,0.916 +207797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.518174486,0.916 +207796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.837425689,0.916 +207798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.05040155,0.916 +207799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.535033538,0.916 +207801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.035695488,0.916 +207802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.655416905,0.916 +207803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-2.068159267,0.916 +207804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.695050763,0.916 +207800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.499776963,0.916 +207805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.527337031,0.916 +207808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.075680199,0.916 +207807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.162074618,0.916 +207806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.134636074,0.916 +207809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.816510732,0.916 +207810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.663576089,0.916 +207811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.265945643,0.916 +207812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-1.435453936,0.916 +207815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.990172128,0.916 +207814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.89605466,0.916 +207816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.086657303,0.916 +207813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.998492826,0.916 +207817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.490412512,0.916 +207818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.785837089,0.916 +207820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.523686136,0.916 +207821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.034900546,0.916 +207819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.943519016,0.916 +207823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.806444599,0.916 +207822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.515863425,0.916 +207825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.306758728,0.916 +207827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.656041481,0.916 +207824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.842374569,0.916 +207828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.629783752,0.916 +207830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.495418206,0.916 +207826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.01134985,0.916 +207829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.617773057,0.916 +207831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.258943299,0.916 +207833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.480948771,0.916 +207832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.766169824,0.916 +207834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.920048017,0.916 +207837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.112866902,0.916 +207835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.949258352,0.916 +207836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.497643333,0.916 +207838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.592075694,0.916 +207840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.986396841,0.916 +207841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.248380032,0.916 +207842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.403224936,0.916 +207839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.762013443,0.916 +207843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.697483898,0.916 +207844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-2.210642342,0.916 +207846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.170066045,0.916 +207847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,11.91273607,0.916 +207848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.15662393,0.916 +207849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.676000883,0.916 +207850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.030641478,0.916 +207845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.484694091,0.916 +207851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.886765804,0.916 +207852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.466524937,0.916 +207854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,15.86585716,0.916 +207853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.417283088,0.916 +207856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.603330187,0.916 +207855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.842387094,0.916 +207857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,10.08915363,0.916 +207858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.868363199,0.916 +207859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.675740252,0.916 +207860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.214440739,0.916 +207861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.965760981,0.916 +207862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.789461936,0.916 +207863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.865008815,0.916 +207864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.200251511,0.916 +207866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.584933694,0.916 +207867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.98107837,0.916 +207868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.740736829,0.916 +207865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.404783161,0.916 +207871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.730580899,0.916 +207870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.859048904,0.916 +207869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.405960657,0.916 +207872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.117401148,0.916 +207873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.608650552,0.916 +207874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.775987385,0.916 +207875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.679302163,0.916 +207876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.129341376,0.916 +207877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.891530632,0.916 +207878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.293242489,0.916 +207879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.435067633,0.916 +207881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-3.968634178,0.916 +207880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.900631184,0.916 +207882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.369720298,0.916 +207883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.390179546,0.916 +207886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.172425062,0.916 +207885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.153708803,0.916 +207884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.622016687,0.916 +207887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.025679151,0.916 +207888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.886585052,0.916 +207889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.0789279,0.916 +207891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,21.46685488,0.916 +207890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.919484196,0.916 +207895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.922621617,0.916 +207892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-2.778005714,0.916 +207893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.549917049,0.916 +207894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.042309802,0.916 +207897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.978198306,0.916 +207896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.44979107,0.916 +207899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.169442629,0.916 +207898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.852626516,0.916 +207901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.432200076,0.916 +207900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,10.49276309,0.916 +207902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,11.30951596,0.916 +207903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.616644604,0.916 +207904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.76099756,0.916 +207905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.572543261,0.916 +207906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,10.12544938,0.916 +207907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.863449704,0.916 +207908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.928682144,0.916 +207909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.560150232,0.916 +207910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.613282621,0.916 +207912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.321221293,0.916 +207913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,11.26908709,0.916 +207911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.950948741,0.916 +207914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.326825569,0.916 +207915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.649678748,0.916 +207917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.818332364,0.916 +207916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.361021838,0.916 +207918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.1862616,0.916 +207919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.313825896,0.916 +207920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.805366372,0.916 +207921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.376015539,0.916 +207922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,10.92933504,0.916 +207923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.28424061,0.916 +207925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.049021683,0.916 +207926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.077154609,0.916 +207924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,10.79694207,0.916 +207927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.901207449,0.916 +207928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.655789867,0.916 +207929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.664159523,0.916 +207930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,17.5080266,0.916 +207931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.243714688,0.916 +207932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.70000705,0.916 +207933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,16.33792485,0.916 +207934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.620842569,0.916 +207935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.272052805,0.916 +207936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.582483979,0.916 +207937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.353344686,0.916 +207939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.807227589,0.916 +207940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.902894625,0.916 +207941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.722294363,0.916 +207938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.56469434,0.916 +207942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.231707193,0.916 +207943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.922052425,0.916 +207944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.998954699,0.916 +207945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.762692878,0.916 +207946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.009132339,0.916 +207948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.126189175,0.916 +207949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,9.708139648,0.916 +207950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.935967798,0.916 +207951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.492437497,0.916 +207947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.513330744,0.916 +207952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.753662438,0.916 +207954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,11.15456676,0.916 +207953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-2.581494254,0.916 +207956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.442580171,0.916 +207957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.611814786,0.916 +207958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.874705219,0.916 +207955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,11.53324221,0.916 +207960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-0.256539368,0.916 +207961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.253985226,0.916 +207962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,10.97011374,0.916 +207959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.226971047,0.916 +207964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.449957225,0.916 +207963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.445134285,0.916 +207965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.413490052,0.916 +207966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.441575256,0.916 +207967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.502977928,0.916 +207968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.921125725,0.916 +207971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.423549365,0.916 +207972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,0.270220762,0.916 +207970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,10.32360127,0.916 +207969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.903775304,0.916 +207974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.19629777,0.916 +207975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.265624035,0.916 +207976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.951915173,0.916 +207973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.925623558,0.916 +207977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.315999126,0.916 +207978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.760612353,0.916 +207979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.839755796,0.916 +207980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.930738543,0.916 +207981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.013808892,0.916 +207983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,7.606256828,0.916 +207982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,8.77112775,0.916 +207984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.622711774,0.916 +207985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.571403802,0.916 +207988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.002404209,0.916 +207987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.358529701,0.916 +207986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.148109128,0.916 +207991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,4.990598348,0.916 +207989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,1.301702811,0.916 +207992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.917326404,0.916 +207990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,3.829945533,0.916 +207993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.02698581,0.916 +207996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.441087636,0.916 +207994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.299339785,0.916 +207995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,-1.802739361,0.916 +207997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.116658605,0.916 +207998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,2.432577088,0.916 +208000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,5.446795836,0.916 +207999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,8,1,6.767937377,0.916 +8001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.193996883,0.852 +8002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.569493802,0.852 +8005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.939124078,0.852 +8004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.81798847,0.852 +8003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.26921451,0.852 +8006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.018821417,0.852 +8008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,10.12696551,0.852 +8007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.27259606,0.852 +8010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-2.842022844,0.852 +8012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.232952866,0.852 +8009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-3.972344423,0.852 +8011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.701762187,0.852 +8013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.852778685,0.852 +8015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.813880909,0.852 +8014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.056077868,0.852 +8016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.175181448,0.852 +8017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.286230286,0.852 +8020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.497840228,0.852 +8019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.159573392,0.852 +8018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.065144223,0.852 +8021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.149694772,0.852 +8022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-4.558400392,0.852 +8023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.156642717,0.852 +8025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.88679227,0.852 +8024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.927874283,0.852 +8026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.626348727,0.852 +8027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.531121595,0.852 +8028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.098788601,0.852 +8029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.030009407,0.852 +8030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.155233925,0.852 +8031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.407225374,0.852 +8032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.595710415,0.852 +8034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.729792029,0.852 +8033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.827671353,0.852 +8035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.683905159,0.852 +8036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.721635602,0.852 +8037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.497144767,0.852 +8038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.844599993,0.852 +8039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.227582619,0.852 +8040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-2.520656754,0.852 +8041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.515571033,0.852 +8043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.146869741,0.852 +8042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.72110316,0.852 +8044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.879589044,0.852 +8045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.084554173,0.852 +8046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.851804482,0.852 +8047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.231357562,0.852 +8048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,11.7709182,0.852 +8049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.471377898,0.852 +8050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.422575833,0.852 +8052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.618418705,0.852 +8051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.984891217,0.852 +8053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.919340239,0.852 +8054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.203934023,0.852 +8055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-2.203138906,0.852 +8057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.784226013,0.852 +8058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.607948477,0.852 +8059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.01348984,0.852 +8060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.044834909,0.852 +8056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.526017457,0.852 +8061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.13427096,0.852 +8062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,10.26441433,0.852 +8063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.852320758,0.852 +8064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.473288339,0.852 +8066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.331526377,0.852 +8067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.042447319,0.852 +8065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.730220006,0.852 +8068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.913551669,0.852 +8069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.089197639,0.852 +8070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.41392675,0.852 +8071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.11700082,0.852 +8072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,16.40670694,0.852 +8073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.973158182,0.852 +8074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.522888664,0.852 +8076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.015176035,0.852 +8075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.419283425,0.852 +8077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.77089964,0.852 +8078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.421251024,0.852 +8079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.034662079,0.852 +8081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.514287578,0.852 +8082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.848133467,0.852 +8084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.484704592,0.852 +8083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,11.71902156,0.852 +8080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.293603009,0.852 +8087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.401000838,0.852 +8085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.36125072,0.852 +8086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.511089209,0.852 +8088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,12.31580981,0.852 +8089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.764653517,0.852 +8090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.122231683,0.852 +8091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,11.12100645,0.852 +8092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.101390369,0.852 +8093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.208299276,0.852 +8094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.852020568,0.852 +8096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.320085901,0.852 +8097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.140076072,0.852 +8098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.412246422,0.852 +8095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.99098871,0.852 +8099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,11.31019001,0.852 +8100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.461887071,0.852 +8101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.110247561,0.852 +8103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.180338018,0.852 +8102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.535971506,0.852 +8104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.078620684,0.852 +8106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.965840011,0.852 +8105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.289250123,0.852 +8107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.829739305,0.852 +8108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.951564093,0.852 +8110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-2.341065839,0.852 +8109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.745663433,0.852 +8112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.771849048,0.852 +8113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,10.57764992,0.852 +8111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-4.096442797,0.852 +8114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,13.16389909,0.852 +8118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,11.56210073,0.852 +8115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.259583316,0.852 +8116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,12.22807423,0.852 +8117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.918351457,0.852 +8120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.142796843,0.852 +8121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.995934744,0.852 +8122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.924038448,0.852 +8123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.350099635,0.852 +8124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.415671592,0.852 +8119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,11.48846648,0.852 +8125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.208443541,0.852 +8126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.858336937,0.852 +8127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,11.52114648,0.852 +8130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.541360296,0.852 +8129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.864056622,0.852 +8131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,12.25283046,0.852 +8128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.336308124,0.852 +8135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,10.83728815,0.852 +8133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.569093034,0.852 +8132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.849045017,0.852 +8134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.917123895,0.852 +8136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.056259259,0.852 +8138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.596672534,0.852 +8139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.220062532,0.852 +8137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.797390318,0.852 +8141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.618666841,0.852 +8142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.565638877,0.852 +8140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.223341552,0.852 +8143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.68204031,0.852 +8144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,11.92834098,0.852 +8145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.155411452,0.852 +8146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.289057321,0.852 +8147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.488797529,0.852 +8149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.471724204,0.852 +8148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.86860774,0.852 +8150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.394569431,0.852 +8151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,11.51330221,0.852 +8152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.231636967,0.852 +8153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.102894408,0.852 +8154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.692092455,0.852 +8156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.542512484,0.852 +8157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.607515535,0.852 +8155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.143052872,0.852 +8159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.884376689,0.852 +8160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.101295482,0.852 +8161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,13.74935121,0.852 +8158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.154669646,0.852 +8165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-2.099872778,0.852 +8164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.335640339,0.852 +8162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.457080048,0.852 +8163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.105630417,0.852 +8166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.940325836,0.852 +8168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,10.32447699,0.852 +8169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.932508408,0.852 +8167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.578511884,0.852 +8170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.000945387,0.852 +8171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,12.68708791,0.852 +8172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.911123757,0.852 +8173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.01911489,0.852 +8175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.935932372,0.852 +8176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.873045744,0.852 +8177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.700828569,0.852 +8174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,11.36667937,0.852 +8178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.202864591,0.852 +8179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.243841883,0.852 +8181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,10.37356438,0.852 +8182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.624648989,0.852 +8183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.405448929,0.852 +8184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.412669102,0.852 +8180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.44344615,0.852 +8185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-3.984805414,0.852 +8186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-6.546046995,0.852 +8187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.542834176,0.852 +8189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.708822113,0.852 +8190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.016067645,0.852 +8191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.475360874,0.852 +8192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.927162498,0.852 +8188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.638997995,0.852 +8193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.645708085,0.852 +8194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.663818071,0.852 +8195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.275604574,0.852 +8196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.45267506,0.852 +8197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.949082423,0.852 +8198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-3.891514301,0.852 +8199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.939045946,0.852 +8200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.832601006,0.852 +8201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.171360654,0.852 +8202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.902177715,0.852 +8203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.87864557,0.852 +8205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.643657203,0.852 +8206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.605248702,0.852 +8207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.604015823,0.852 +8208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.947553694,0.852 +8204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.191723403,0.852 +8209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,13.98582072,0.852 +8210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.335567009,0.852 +8211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.506747406,0.852 +8212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.262374431,0.852 +8213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.906342729,0.852 +8214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.11295122,0.852 +8215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.991912817,0.852 +8216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.18143401,0.852 +8217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.136694936,0.852 +8218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.858188018,0.852 +8219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.937354659,0.852 +8220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.235087976,0.852 +8223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.240685381,0.852 +8221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.057178158,0.852 +8222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.369442309,0.852 +8225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,17.44358323,0.852 +8226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.346242061,0.852 +8227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.344154609,0.852 +8224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.85715795,0.852 +8228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.305099166,0.852 +8229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.517187501,0.852 +8230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.474447628,0.852 +8231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.712949953,0.852 +8232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.073288168,0.852 +8233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.594263844,0.852 +8234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.36759434,0.852 +8235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.374430447,0.852 +8236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.623714879,0.852 +8238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,10.87739539,0.852 +8237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.250011133,0.852 +8242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,10.12386459,0.852 +8241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.754875011,0.852 +8240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.312627545,0.852 +8239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.021653395,0.852 +8243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.585041781,0.852 +8244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.314190399,0.852 +8245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.432114929,0.852 +8246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.305700031,0.852 +8247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.550868236,0.852 +8248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.459875901,0.852 +8250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.429651806,0.852 +8249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.002146379,0.852 +8251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.021464007,0.852 +8252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.617788748,0.852 +8254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.314068487,0.852 +8253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.454741164,0.852 +8255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.589897138,0.852 +8256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.124044524,0.852 +8257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.968405183,0.852 +8258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.832725402,0.852 +8259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.71757037,0.852 +8260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.139378298,0.852 +8261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.97142702,0.852 +8263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.896628955,0.852 +8264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.584923887,0.852 +8262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.462593316,0.852 +8265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-3.847531352,0.852 +8266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.795763563,0.852 +8267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.868014787,0.852 +8269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-2.476223354,0.852 +8270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.040816697,0.852 +8268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.901807788,0.852 +8271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.877244058,0.852 +8273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.517302852,0.852 +8272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.797741525,0.852 +8274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.459650598,0.852 +8275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.086855057,0.852 +8276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.041615796,0.852 +8277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.917694579,0.852 +8279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.564643939,0.852 +8280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.320114997,0.852 +8281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,11.1151456,0.852 +8282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.710556565,0.852 +8278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.250959767,0.852 +8284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.547701987,0.852 +8283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.788776412,0.852 +8286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.878078409,0.852 +8285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.139178352,0.852 +8288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-2.351001009,0.852 +8287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.80988877,0.852 +8289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.808044841,0.852 +8290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.826431284,0.852 +8291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.448623482,0.852 +8292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.58896418,0.852 +8294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.277765486,0.852 +8295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.11463609,0.852 +8296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.196908324,0.852 +8297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-3.230157627,0.852 +8293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.886638907,0.852 +8299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.101630288,0.852 +8301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.457437317,0.852 +8298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.540204775,0.852 +8300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-3.755399406,0.852 +8302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.14310383,0.852 +8304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.026043853,0.852 +8303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.831936879,0.852 +8305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.721157983,0.852 +8306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.189837365,0.852 +8307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.670248774,0.852 +8308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.404096383,0.852 +8309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.428478789,0.852 +8311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.223418526,0.852 +8310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.995087839,0.852 +8313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.797626501,0.852 +8314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.697636798,0.852 +8315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.709588479,0.852 +8312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,10.01505558,0.852 +8318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,10.46650061,0.852 +8317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.446023921,0.852 +8316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.516278596,0.852 +8319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.560265395,0.852 +8320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.654982131,0.852 +8321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.490270816,0.852 +8322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.67249961,0.852 +8323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,10.34975495,0.852 +8324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.734491117,0.852 +8325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,10.34250197,0.852 +8326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.789670021,0.852 +8328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.442588105,0.852 +8327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.763446203,0.852 +8329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.144597585,0.852 +8330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.58003767,0.852 +8333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.934455429,0.852 +8331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.973527753,0.852 +8334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.313547799,0.852 +8332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.089477037,0.852 +8335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.180296564,0.852 +8336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.523082875,0.852 +8337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,11.71343354,0.852 +8338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.55293415,0.852 +8339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.976346736,0.852 +8340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.766806458,0.852 +8341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-5.147806824,0.852 +8342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.753077597,0.852 +8343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.929720898,0.852 +8344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.908501468,0.852 +8345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.160014601,0.852 +8347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.447565983,0.852 +8349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.121797457,0.852 +8348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.800449425,0.852 +8350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,20.346774,0.852 +8352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,14.70110007,0.852 +8351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,12.4216759,0.852 +8346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,13.99047663,0.852 +8353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.78386344,0.852 +8354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.670881514,0.852 +8355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.841413096,0.852 +8357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.599093854,0.852 +8358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.659156482,0.852 +8359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,14.70669194,0.852 +8356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.702636911,0.852 +8360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.047012563,0.852 +8362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,11.43868271,0.852 +8363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.543104597,0.852 +8361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.01991379,0.852 +8364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.620223343,0.852 +8365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.906077604,0.852 +8367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.995719417,0.852 +8368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.930351283,0.852 +8366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.46665796,0.852 +8369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.208658901,0.852 +8370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.550650778,0.852 +8371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.267770147,0.852 +8373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.863260531,0.852 +8374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.049631294,0.852 +8375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.487544735,0.852 +8372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,13.43660201,0.852 +8376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.706431668,0.852 +8377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.432185918,0.852 +8379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.067930624,0.852 +8378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.011725022,0.852 +8380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.783796392,0.852 +8381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.275593609,0.852 +8382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.528914154,0.852 +8383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.175700299,0.852 +8384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.433406408,0.852 +8385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,18.04817044,0.852 +8386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.252536621,0.852 +8387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.295895689,0.852 +8389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.23342748,0.852 +8388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.452256691,0.852 +8391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.733635774,0.852 +8392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-2.540950598,0.852 +8393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.780208599,0.852 +8390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.816133276,0.852 +8395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.928019639,0.852 +8394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.808978744,0.852 +8396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.215449678,0.852 +8399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.74707293,0.852 +8397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.401600437,0.852 +8398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.143505988,0.852 +8400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.144036011,0.852 +8401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,11.77913258,0.852 +8403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.705118857,0.852 +8402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.828493314,0.852 +8404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.817704198,0.852 +8405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.757392244,0.852 +8406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.508817574,0.852 +8407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,10.8068454,0.852 +8408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.47114677,0.852 +8409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.793036509,0.852 +8410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.269017448,0.852 +8412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.506012732,0.852 +8414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,11.35640662,0.852 +8411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.283471002,0.852 +8413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.237003012,0.852 +8416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.21391001,0.852 +8415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.919036425,0.852 +8418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.330867945,0.852 +8417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.572423439,0.852 +8420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,10.82869309,0.852 +8419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.874365395,0.852 +8421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.134856546,0.852 +8422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.559767577,0.852 +8423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.459257936,0.852 +8424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,10.53265816,0.852 +8425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,15.01478691,0.852 +8426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.469034081,0.852 +8427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,14.80155326,0.852 +8428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.795908635,0.852 +8429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.034455217,0.852 +8431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.896848902,0.852 +8432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.089061875,0.852 +8433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.557540336,0.852 +8430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.82027961,0.852 +8434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.557735539,0.852 +8435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,10.21785321,0.852 +8436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.321232642,0.852 +8439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.114658835,0.852 +8437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.013237557,0.852 +8440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.334230036,0.852 +8438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.882709238,0.852 +8441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,11.08354688,0.852 +8443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,12.93643295,0.852 +8444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.939508157,0.852 +8442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.035284556,0.852 +8445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.567185027,0.852 +8447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.358192829,0.852 +8446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,10.90085499,0.852 +8449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.908656337,0.852 +8450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.99908165,0.852 +8451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.259129527,0.852 +8448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.434916567,0.852 +8453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.860619961,0.852 +8452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.132695042,0.852 +8455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,13.76494428,0.852 +8454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.697197768,0.852 +8457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.874115882,0.852 +8456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-2.131755935,0.852 +8460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.350964501,0.852 +8459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.053650447,0.852 +8461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-4.281576148,0.852 +8458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-2.682408526,0.852 +8462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-2.816764757,0.852 +8463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.627980519,0.852 +8464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.639866685,0.852 +8465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,11.77265348,0.852 +8467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.247297257,0.852 +8466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,12.86758221,0.852 +8468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.625687662,0.852 +8471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.498588763,0.852 +8469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.043778032,0.852 +8470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.931402463,0.852 +8472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.958084019,0.852 +8473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.879978525,0.852 +8475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.050438121,0.852 +8474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-2.066532882,0.852 +8476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.420716668,0.852 +8477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.252081756,0.852 +8478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.204687653,0.852 +8479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.252580724,0.852 +8480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.564346012,0.852 +8481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.876521039,0.852 +8482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.753675647,0.852 +8484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.941411572,0.852 +8483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.382581694,0.852 +8485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.241628755,0.852 +8488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.164805043,0.852 +8486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.406389016,0.852 +8487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.271663795,0.852 +8489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.885006649,0.852 +8490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.923237829,0.852 +8491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,10.48483939,0.852 +8492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.007923844,0.852 +8493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.369996465,0.852 +8495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.54740681,0.852 +8496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.817789493,0.852 +8494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.819308244,0.852 +8497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.550743549,0.852 +8499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.66940614,0.852 +8498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.034926408,0.852 +8500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.948138588,0.852 +8501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.361988579,0.852 +8505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-2.998587984,0.852 +8504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.82648119,0.852 +8502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.998666769,0.852 +8503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,16.77472517,0.852 +8508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.005780522,0.852 +8506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.180752552,0.852 +8507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.771006311,0.852 +8511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.168194062,0.852 +8510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.77929718,0.852 +8509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.026323643,0.852 +8512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.790060751,0.852 +8514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.386149504,0.852 +8515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.92135412,0.852 +8513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.992884133,0.852 +8516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.530857884,0.852 +8518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.873890898,0.852 +8519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.029645093,0.852 +8517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.915199111,0.852 +8520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.130387231,0.852 +8522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.860026994,0.852 +8521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.654648238,0.852 +8523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,10.07538761,0.852 +8524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.058167502,0.852 +8525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.096650194,0.852 +8526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.654045019,0.852 +8528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.850026063,0.852 +8530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.53228799,0.852 +8527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.809344569,0.852 +8532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,14.69046746,0.852 +8529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.017275595,0.852 +8533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.749083567,0.852 +8531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-4.388539621,0.852 +8535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.431934915,0.852 +8534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.865217581,0.852 +8537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.410028966,0.852 +8538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,11.19932595,0.852 +8536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.114813464,0.852 +8539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.870365911,0.852 +8540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,11.35258803,0.852 +8541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.726462545,0.852 +8542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.565467264,0.852 +8545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.31842791,0.852 +8544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.748146909,0.852 +8546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.491322479,0.852 +8543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.670332402,0.852 +8550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,14.40881673,0.852 +8549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.251953418,0.852 +8548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.198685097,0.852 +8547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.703893397,0.852 +8551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-2.957981355,0.852 +8554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.853904687,0.852 +8553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.310827496,0.852 +8552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.479270969,0.852 +8556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.985906604,0.852 +8557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,13.7719197,0.852 +8555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.396191768,0.852 +8558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.328693705,0.852 +8559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.066676497,0.852 +8561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.140403996,0.852 +8560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.60093085,0.852 +8562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.292460283,0.852 +8563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,12.01235462,0.852 +8564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.688308845,0.852 +8566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.829074151,0.852 +8565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.976288632,0.852 +8567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.114270171,0.852 +8568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,17.56222407,0.852 +8569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.35921592,0.852 +8570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.656497634,0.852 +8571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.730918421,0.852 +8574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.570659092,0.852 +8575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.853801591,0.852 +8573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.975573845,0.852 +8572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.296979959,0.852 +8578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.437023406,0.852 +8577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.810903561,0.852 +8579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.381984771,0.852 +8576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.848011395,0.852 +8580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-2.336825627,0.852 +8581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.063761248,0.852 +8582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.125734529,0.852 +8583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,14.81285468,0.852 +8584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,16.25081726,0.852 +8585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.51219784,0.852 +8586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.838502709,0.852 +8587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.936264188,0.852 +8589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.323073757,0.852 +8588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.405551169,0.852 +8591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.757506519,0.852 +8590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.708290812,0.852 +8592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.899334182,0.852 +8593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.528938737,0.852 +8594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.153178823,0.852 +8595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.029241749,0.852 +8596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.478675644,0.852 +8597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.662458573,0.852 +8599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.962749348,0.852 +8598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.010029847,0.852 +8600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.641395571,0.852 +8601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.979801881,0.852 +8602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.361798828,0.852 +8603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.025366489,0.852 +8604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.495056435,0.852 +8608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.432213827,0.852 +8605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.27655818,0.852 +8607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.347174379,0.852 +8606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.91924299,0.852 +8609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.275159311,0.852 +8610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.027869593,0.852 +8611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.108139332,0.852 +8612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.273383061,0.852 +8613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.714811048,0.852 +8614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.361753313,0.852 +8615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.427104169,0.852 +8616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.388787295,0.852 +8617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.492197032,0.852 +8618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,20.65796172,0.852 +8620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.590691378,0.852 +8621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.753855933,0.852 +8619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.944012675,0.852 +8623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.751701565,0.852 +8625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.428142949,0.852 +8622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.016251389,0.852 +8624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.395310815,0.852 +8626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.867672857,0.852 +8629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.967912802,0.852 +8627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.503704476,0.852 +8628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.199648644,0.852 +8630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.201305456,0.852 +8631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.022138627,0.852 +8632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,13.50703084,0.852 +8633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.109017236,0.852 +8635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.244337843,0.852 +8634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.724661059,0.852 +8637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.388442784,0.852 +8636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.1231911,0.852 +8638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.45796192,0.852 +8639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.908242351,0.852 +8640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.558303327,0.852 +8642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-2.201342104,0.852 +8643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.864420977,0.852 +8644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.86043179,0.852 +8645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.902437794,0.852 +8646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.756014607,0.852 +8647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-2.928240528,0.852 +8648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-2.076036704,0.852 +8641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,10.64149905,0.852 +8649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.262852572,0.852 +8650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.724752574,0.852 +8653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.099551403,0.852 +8652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.234035245,0.852 +8651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.328037001,0.852 +8654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.22475328,0.852 +8657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.864412713,0.852 +8655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.06637276,0.852 +8656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.293907341,0.852 +8658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.083366586,0.852 +8660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.669508991,0.852 +8659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.22730123,0.852 +8662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.973209251,0.852 +8663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,10.20591726,0.852 +8664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.17393068,0.852 +8661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,10.2894585,0.852 +8665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.938601611,0.852 +8666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.955235549,0.852 +8668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.58261583,0.852 +8667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.661002397,0.852 +8669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.394136475,0.852 +8670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.801213582,0.852 +8672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.504290091,0.852 +8671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.793790698,0.852 +8673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.963879401,0.852 +8674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.049113712,0.852 +8675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.918872776,0.852 +8676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.979298684,0.852 +8677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.836579345,0.852 +8678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.720111338,0.852 +8679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.384374562,0.852 +8681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.563594371,0.852 +8682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-8.817485232,0.852 +8683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.379438629,0.852 +8680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.477709846,0.852 +8684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.890432968,0.852 +8685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.955829051,0.852 +8686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.786222667,0.852 +8687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.372814016,0.852 +8688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-2.397001118,0.852 +8689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.973603216,0.852 +8690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.159054197,0.852 +8691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.40627501,0.852 +8692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.554964351,0.852 +8693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,15.27564938,0.852 +8694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.771510307,0.852 +8696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.944522755,0.852 +8697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.930385897,0.852 +8695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.720506793,0.852 +8698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.849004523,0.852 +8699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.008966605,0.852 +8701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.575020263,0.852 +8700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.781515518,0.852 +8702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.303259566,0.852 +8703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.236472862,0.852 +8704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.3495446,0.852 +8705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.539654111,0.852 +8706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.053275518,0.852 +8707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.742934974,0.852 +8709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.693866913,0.852 +8710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.113959749,0.852 +8708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.82752094,0.852 +8711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.90748453,0.852 +8712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.927422576,0.852 +8713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,16.93072907,0.852 +8715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.344076422,0.852 +8714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.649381461,0.852 +8717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.810046078,0.852 +8716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,11.28642615,0.852 +8718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.746383858,0.852 +8719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.69310616,0.852 +8720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.719020626,0.852 +8722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.755636285,0.852 +8723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.451275815,0.852 +8721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.047955347,0.852 +8724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.454697006,0.852 +8725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.445587562,0.852 +8726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.481776045,0.852 +8727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.807244695,0.852 +8729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.036859979,0.852 +8728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.585988209,0.852 +8730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-3.251221753,0.852 +8731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.230303025,0.852 +8732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,10.6555043,0.852 +8733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.564713345,0.852 +8734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.525896082,0.852 +8736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,19.02646929,0.852 +8737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.189714097,0.852 +8738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.664720283,0.852 +8739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.77757557,0.852 +8740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,10.43821733,0.852 +8735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.439815423,0.852 +8742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.058866606,0.852 +8744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.159897306,0.852 +8743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.265454925,0.852 +8741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.468805993,0.852 +8746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-2.293670621,0.852 +8745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.13080946,0.852 +8747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.199777147,0.852 +8748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.955161181,0.852 +8749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.181900608,0.852 +8750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.617027346,0.852 +8751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,11.45495774,0.852 +8754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.914650745,0.852 +8752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.283878558,0.852 +8755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.53616364,0.852 +8753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.974144901,0.852 +8757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.406447868,0.852 +8759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.609580421,0.852 +8758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.829330523,0.852 +8756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.131601053,0.852 +8761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.577381744,0.852 +8760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.769878398,0.852 +8763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.727437903,0.852 +8762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.359111065,0.852 +8764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.614086321,0.852 +8765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.259017146,0.852 +8766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,12.25857491,0.852 +8767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.495684173,0.852 +8768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.991596946,0.852 +8770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-2.488569892,0.852 +8771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.219234378,0.852 +8769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-2.775241586,0.852 +8774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.11539384,0.852 +8773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,14.45620025,0.852 +8775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,12.45075597,0.852 +8772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.478417333,0.852 +8777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.163248665,0.852 +8776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.734175412,0.852 +8779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.125954042,0.852 +8780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-3.294603404,0.852 +8778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.331415133,0.852 +8781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.604318135,0.852 +8782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.227258104,0.852 +8783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.179306578,0.852 +8786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,10.22591032,0.852 +8785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.015647119,0.852 +8787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.560700551,0.852 +8784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.744609363,0.852 +8789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.25223841,0.852 +8788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,11.11771037,0.852 +8791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.749131668,0.852 +8790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.306340813,0.852 +8792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.086268432,0.852 +8793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.23225394,0.852 +8795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.938639366,0.852 +8794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.530166136,0.852 +8796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.929764278,0.852 +8797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.57864895,0.852 +8798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.69111172,0.852 +8800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.721749125,0.852 +8801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.235940155,0.852 +8802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.762138205,0.852 +8803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.391865891,0.852 +8804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.827945295,0.852 +8799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.542424859,0.852 +8805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,14.01169671,0.852 +8808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.569832636,0.852 +8807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.687649357,0.852 +8806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,11.24265823,0.852 +8809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.103946774,0.852 +8811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.554374644,0.852 +8810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.512811824,0.852 +8812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.802980049,0.852 +8813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.208365055,0.852 +8814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.146013467,0.852 +8816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.510897139,0.852 +8815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.354671341,0.852 +8817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.386408581,0.852 +8819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.866377773,0.852 +8818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.35775424,0.852 +8821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.154681825,0.852 +8823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.905247807,0.852 +8820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,10.8737677,0.852 +8824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.528736091,0.852 +8822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,11.56502439,0.852 +8825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.189386964,0.852 +8826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.87059592,0.852 +8827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.205772381,0.852 +8829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.05156291,0.852 +8828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.825244963,0.852 +8831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.098541796,0.852 +8830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-2.588370346,0.852 +8832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.061968846,0.852 +8833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.838516011,0.852 +8837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.194106442,0.852 +8834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.432349602,0.852 +8836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.56982289,0.852 +8835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.184465258,0.852 +8838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.278392072,0.852 +8840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,15.01831657,0.852 +8839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.530552617,0.852 +8841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.788606004,0.852 +8842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.379569402,0.852 +8843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.124566408,0.852 +8844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.225593121,0.852 +8845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.312800394,0.852 +8847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.248940845,0.852 +8846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.179892892,0.852 +8848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.392501161,0.852 +8851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.177177093,0.852 +8849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.554713406,0.852 +8852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.043498268,0.852 +8850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.964718672,0.852 +8853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-2.83655088,0.852 +8854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.233946045,0.852 +8855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.469885928,0.852 +8856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.256649884,0.852 +8857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.23030338,0.852 +8858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.666683742,0.852 +8859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.072571442,0.852 +8860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.211763461,0.852 +8861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,10.22176044,0.852 +8863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.787866785,0.852 +8864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.059758032,0.852 +8865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-2.782915491,0.852 +8862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.6925636,0.852 +8866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,10.4824943,0.852 +8867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.256640769,0.852 +8868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.284646431,0.852 +8870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.582775007,0.852 +8871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.016173272,0.852 +8872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.873067807,0.852 +8873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,11.0920917,0.852 +8869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.082551338,0.852 +8874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.068029548,0.852 +8875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.781104132,0.852 +8876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.143085591,0.852 +8878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.639040312,0.852 +8879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.220987011,0.852 +8880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.72602059,0.852 +8881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.190413388,0.852 +8877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.477267681,0.852 +8882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.665546219,0.852 +8883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.024191141,0.852 +8884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.476219317,0.852 +8885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.357398514,0.852 +8886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.565860735,0.852 +8887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.945211907,0.852 +8888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.129876556,0.852 +8889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.623064757,0.852 +8890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-2.100706597,0.852 +8892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.928699865,0.852 +8891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.652008749,0.852 +8894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.145326317,0.852 +8895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,10.02454279,0.852 +8896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.801611029,0.852 +8893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.745180924,0.852 +8897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.560209413,0.852 +8899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-2.16302785,0.852 +8898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.576953327,0.852 +8900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.875203477,0.852 +8901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.499146149,0.852 +8902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.376352955,0.852 +8903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,13.6866149,0.852 +8904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.042247073,0.852 +8907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.550576172,0.852 +8905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.582000008,0.852 +8906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.603266663,0.852 +8908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.901095046,0.852 +8909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,11.44204164,0.852 +8910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-6.05866107,0.852 +8911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.801591729,0.852 +8914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.698491401,0.852 +8912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.374186535,0.852 +8915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.649383819,0.852 +8913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.809447809,0.852 +8916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.968315843,0.852 +8917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.858841885,0.852 +8918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.313153563,0.852 +8919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.316153048,0.852 +8920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.874345502,0.852 +8921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.650790895,0.852 +8923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.513597729,0.852 +8922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.030568052,0.852 +8925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.108408651,0.852 +8926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.368967046,0.852 +8927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.033390219,0.852 +8928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.43044331,0.852 +8924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,11.2880042,0.852 +8929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.865755671,0.852 +8930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-3.406627913,0.852 +8931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.637392834,0.852 +8933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.408470563,0.852 +8934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.848684169,0.852 +8932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.432034019,0.852 +8935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.494023129,0.852 +8937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.387499364,0.852 +8936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.62042678,0.852 +8938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.472317746,0.852 +8940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.685899164,0.852 +8939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,10.58134813,0.852 +8941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.623597657,0.852 +8942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.851420383,0.852 +8944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.637074609,0.852 +8943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.994376087,0.852 +8945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.923533011,0.852 +8946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.202950251,0.852 +8947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.551943249,0.852 +8948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.515324521,0.852 +8949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.798567122,0.852 +8950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.418776881,0.852 +8952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.450600244,0.852 +8951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.31399258,0.852 +8953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.336132438,0.852 +8956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.812044853,0.852 +8954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.602246166,0.852 +8955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,10.8194724,0.852 +8957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.551356105,0.852 +8958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.735982915,0.852 +8960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,10.08788476,0.852 +8961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.376840833,0.852 +8962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.545808863,0.852 +8963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.320193288,0.852 +8964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.593892401,0.852 +8965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.225345071,0.852 +8966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.039649546,0.852 +8967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,10.64832225,0.852 +8959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.193725682,0.852 +8969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.598685979,0.852 +8968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,6.001145098,0.852 +8971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.316688885,0.852 +8970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.635756924,0.852 +8972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.357572098,0.852 +8973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.077468302,0.852 +8975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.635245977,0.852 +8974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,15.04025572,0.852 +8976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.942759324,0.852 +8979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.552988494,0.852 +8977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.752739624,0.852 +8980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.166876639,0.852 +8978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-0.288447208,0.852 +8982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.902940063,0.852 +8983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,7.461296287,0.852 +8984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.29446657,0.852 +8981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.81622211,0.852 +8986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.418801122,0.852 +8985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.586457531,0.852 +8987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.264746173,0.852 +8990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.727762157,0.852 +8988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,5.868420598,0.852 +8991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.649745697,0.852 +8989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.410138069,0.852 +8992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,2.171705903,0.852 +8993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,0.408568403,0.852 +8995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.821743314,0.852 +8996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,8.46574267,0.852 +8997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,1.449709624,0.852 +8998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,9.882987474,0.852 +8994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,4.26473638,0.852 +8999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,-1.893120995,0.852 +9000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,9,1,3.85321489,0.852 +18001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.389330158,0.92 +18002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.988519341,0.92 +18004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.333636731,0.92 +18006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.576123987,0.92 +18003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.57941324,0.92 +18005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.506833855,0.92 +18007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.811450123,0.92 +18008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.009552599,0.92 +18009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,14.0039348,0.92 +18010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.50778874,0.92 +18013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.09680829,0.92 +18012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.67755538,0.92 +18011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.488585776,0.92 +18014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,9.3894375,0.92 +18017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,17.07173023,0.92 +18015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.095682385,0.92 +18016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.923784908,0.92 +18018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.407706925,0.92 +18019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.292244407,0.92 +18021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.11796542,0.92 +18022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.325843726,0.92 +18023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.470647188,0.92 +18024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.420282221,0.92 +18020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.634376946,0.92 +18025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.284036741,0.92 +18028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.609168447,0.92 +18027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.087764089,0.92 +18026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.634712274,0.92 +18029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.22605765,0.92 +18030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.084733367,0.92 +18031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.086324934,0.92 +18032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.800860848,0.92 +18033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.039917355,0.92 +18034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.76330175,0.92 +18035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.905297311,0.92 +18036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.601477784,0.92 +18037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.008412711,0.92 +18039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.162811533,0.92 +18040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-1.91536885,0.92 +18038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.843625662,0.92 +18043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.609711719,0.92 +18042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.492360342,0.92 +18041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.045699945,0.92 +18044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.843488633,0.92 +18045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.532778874,0.92 +18046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.477296389,0.92 +18047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.298309286,0.92 +18048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.292888568,0.92 +18049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,12.1832572,0.92 +18050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.984832863,0.92 +18051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.022299435,0.92 +18052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.021876923,0.92 +18053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.684928917,0.92 +18054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.652911258,0.92 +18055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.550348716,0.92 +18058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.73555,0.92 +18057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.222763615,0.92 +18056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.419363711,0.92 +18059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.518000596,0.92 +18060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.866156149,0.92 +18061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.835040911,0.92 +18062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-1.110571868,0.92 +18064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.781476928,0.92 +18065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.302435772,0.92 +18066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.339959371,0.92 +18063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.783164538,0.92 +18067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.080998364,0.92 +18068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.182590254,0.92 +18069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.090194526,0.92 +18071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.631628816,0.92 +18070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.187837799,0.92 +18072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.614560238,0.92 +18073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.371605642,0.92 +18074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.559539735,0.92 +18076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.450596849,0.92 +18077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.897454989,0.92 +18075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.35240182,0.92 +18078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.732920363,0.92 +18079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.951830853,0.92 +18080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.786727153,0.92 +18082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.615887513,0.92 +18084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,10.39186338,0.92 +18081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.034609814,0.92 +18083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.74330085,0.92 +18085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.433079565,0.92 +18086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.753119352,0.92 +18088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.267061269,0.92 +18087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.481650314,0.92 +18090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.965980112,0.92 +18089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.286284874,0.92 +18091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.005053745,0.92 +18092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.048403029,0.92 +18094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,13.22324075,0.92 +18093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.573410832,0.92 +18095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.831205039,0.92 +18097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.579510193,0.92 +18098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,10.02892737,0.92 +18099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.569208262,0.92 +18096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.753342324,0.92 +18100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.780794234,0.92 +18101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.083895709,0.92 +18102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.432657396,0.92 +18103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.066100336,0.92 +18104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,9.241091822,0.92 +18105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.563415728,0.92 +18106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,11.13536156,0.92 +18107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,12.43909213,0.92 +18108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,9.209490066,0.92 +18110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.214815203,0.92 +18109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,9.112436831,0.92 +18111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.657786082,0.92 +18113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.543563938,0.92 +18112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.374501282,0.92 +18114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.087609281,0.92 +18115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.951806222,0.92 +18116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.62045572,0.92 +18117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.245955202,0.92 +18118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.154821238,0.92 +18120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.034383984,0.92 +18119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.867497224,0.92 +18121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,9.859106737,0.92 +18122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.288970757,0.92 +18123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.477753861,0.92 +18124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.271762909,0.92 +18125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.166321359,0.92 +18126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.663612846,0.92 +18127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.065557506,0.92 +18128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.070550699,0.92 +18129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,10.35735237,0.92 +18131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.915078529,0.92 +18130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,14.83101266,0.92 +18132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.572133172,0.92 +18133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,9.883357953,0.92 +18134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.392383236,0.92 +18135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.89746831,0.92 +18137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.268648183,0.92 +18136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.916416779,0.92 +18138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.292066056,0.92 +18140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.546347619,0.92 +18139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.75869732,0.92 +18141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.556425195,0.92 +18142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.464688804,0.92 +18143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.714377105,0.92 +18144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.887641212,0.92 +18145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,10.75328115,0.92 +18146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.659640708,0.92 +18147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.510795968,0.92 +18149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.509136925,0.92 +18148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.358774369,0.92 +18150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.957437906,0.92 +18151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.208963905,0.92 +18153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.455976875,0.92 +18154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.864258546,0.92 +18155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.603398543,0.92 +18157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.298194646,0.92 +18158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.218732893,0.92 +18156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.303513993,0.92 +18152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,13.46888534,0.92 +18159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.22793206,0.92 +18160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.598038135,0.92 +18161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-1.647028733,0.92 +18163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.980844505,0.92 +18162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.522945421,0.92 +18164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.30796127,0.92 +18165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.145411177,0.92 +18166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.884652326,0.92 +18167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.41360837,0.92 +18168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.592959892,0.92 +18171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.725756665,0.92 +18170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.521250469,0.92 +18169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.098587321,0.92 +18172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.045898855,0.92 +18174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.221107635,0.92 +18176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.278252386,0.92 +18175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.230616386,0.92 +18173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.92945795,0.92 +18177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.226019642,0.92 +18178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.657672602,0.92 +18179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.522108399,0.92 +18180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.918180776,0.92 +18181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.222882605,0.92 +18182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.326736066,0.92 +18183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.608833881,0.92 +18184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.725140924,0.92 +18185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.652878454,0.92 +18186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.111360685,0.92 +18188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.985591851,0.92 +18187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.89797472,0.92 +18189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.349550105,0.92 +18190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.407246388,0.92 +18192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.643855602,0.92 +18193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.949035742,0.92 +18194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.807528917,0.92 +18191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.070296734,0.92 +18195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.242640558,0.92 +18197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.566203135,0.92 +18198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,11.06868688,0.92 +18196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.714783269,0.92 +18199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.596810712,0.92 +18200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.623870915,0.92 +18202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.259061009,0.92 +18201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.299362254,0.92 +18203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.535302279,0.92 +18204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.511401918,0.92 +18206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.007865299,0.92 +18205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.094366531,0.92 +18208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.633579715,0.92 +18207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-1.73979685,0.92 +18210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,9.86590539,0.92 +18209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.616497977,0.92 +18211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.648241113,0.92 +18213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.409967486,0.92 +18214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.94770787,0.92 +18215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.113048617,0.92 +18212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-1.674752629,0.92 +18216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,9.311039719,0.92 +18218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.682736949,0.92 +18217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.381630911,0.92 +18219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.566881274,0.92 +18220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.864939297,0.92 +18221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.705187868,0.92 +18223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.152472387,0.92 +18222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,10.24281493,0.92 +18224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.501557518,0.92 +18226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.071798849,0.92 +18225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.900446647,0.92 +18228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.841673894,0.92 +18227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.610654138,0.92 +18229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.577792185,0.92 +18230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.398276147,0.92 +18231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.293804981,0.92 +18234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,14.59769087,0.92 +18232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.254783981,0.92 +18233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.768105988,0.92 +18235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.715490189,0.92 +18236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.037515109,0.92 +18238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.116991195,0.92 +18237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.035899524,0.92 +18239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.977071646,0.92 +18240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.020454588,0.92 +18241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.530517844,0.92 +18243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.705131064,0.92 +18242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.057887143,0.92 +18245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.625540583,0.92 +18246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.405219751,0.92 +18244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.72600913,0.92 +18248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.61260282,0.92 +18249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.038819489,0.92 +18247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.40398708,0.92 +18250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,14.00080553,0.92 +18251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.700045419,0.92 +18252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-1.955264131,0.92 +18254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,9.800724608,0.92 +18255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.237787815,0.92 +18253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.406017153,0.92 +18257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.600026298,0.92 +18256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.919283984,0.92 +18258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.305993685,0.92 +18259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.63241358,0.92 +18261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,10.17545141,0.92 +18262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.188443328,0.92 +18263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.959347261,0.92 +18264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.155588684,0.92 +18260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,14.52767262,0.92 +18265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,9.655916383,0.92 +18267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,9.395396369,0.92 +18268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,16.44633241,0.92 +18269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.320418872,0.92 +18266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.221031348,0.92 +18271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.22885961,0.92 +18270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.433422214,0.92 +18274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.144684127,0.92 +18272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.278950176,0.92 +18273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.560685913,0.92 +18275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.992077663,0.92 +18277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.505092394,0.92 +18278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.781522795,0.92 +18279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.192209092,0.92 +18276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.723530481,0.92 +18280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.327194715,0.92 +18281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.234112087,0.92 +18282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.777651805,0.92 +18284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.776111011,0.92 +18283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.447845292,0.92 +18286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.460791624,0.92 +18288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.861232244,0.92 +18287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,10.65273997,0.92 +18289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.983033236,0.92 +18285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,9.741837732,0.92 +18290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.842631219,0.92 +18291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.946423875,0.92 +18292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.372969256,0.92 +18293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-1.039640816,0.92 +18295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.891434244,0.92 +18296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.215471764,0.92 +18297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.615088456,0.92 +18298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.083604672,0.92 +18299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.95788185,0.92 +18294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.711991793,0.92 +18300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.807065708,0.92 +18303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.352907002,0.92 +18301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.987201325,0.92 +18302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.845227709,0.92 +18304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.621954713,0.92 +18305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.44754274,0.92 +18306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.14977957,0.92 +18307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.524599641,0.92 +18309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.355989119,0.92 +18308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.128933415,0.92 +18310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.290046078,0.92 +18311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.096730109,0.92 +18313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.077339262,0.92 +18314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.783744163,0.92 +18315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.553166172,0.92 +18312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.804945247,0.92 +18316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.167495426,0.92 +18317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.128394865,0.92 +18319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.552339238,0.92 +18318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.079741278,0.92 +18320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.167576673,0.92 +18322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.266222461,0.92 +18321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.112340775,0.92 +18323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.983534646,0.92 +18326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.542819225,0.92 +18325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.996554165,0.92 +18324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.725187721,0.92 +18327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,11.73199072,0.92 +18329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,12.46299964,0.92 +18330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.064227131,0.92 +18331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.120231969,0.92 +18332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.738144257,0.92 +18328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.437956513,0.92 +18334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.340090397,0.92 +18333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.742906993,0.92 +18335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.381813435,0.92 +18336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.345144816,0.92 +18337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-1.256290689,0.92 +18338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.728771177,0.92 +18339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.039094445,0.92 +18340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.73797127,0.92 +18341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.401381818,0.92 +18342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-1.174636942,0.92 +18343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.111734353,0.92 +18344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.79685883,0.92 +18345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.599844936,0.92 +18348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.988571224,0.92 +18346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.221704998,0.92 +18347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.31527144,0.92 +18349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.153188379,0.92 +18350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.211637492,0.92 +18352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.51863175,0.92 +18351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.765228514,0.92 +18353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,9.751037854,0.92 +18354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.683424249,0.92 +18355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.627805375,0.92 +18356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.770210895,0.92 +18357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.069832674,0.92 +18358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.992967902,0.92 +18359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.229858976,0.92 +18361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,9.801184591,0.92 +18360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.746067281,0.92 +18362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.237681991,0.92 +18363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.78221745,0.92 +18364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.6805957,0.92 +18366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.477477572,0.92 +18367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.932919871,0.92 +18365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.186202761,0.92 +18368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.573857509,0.92 +18369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.05053986,0.92 +18370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.978689077,0.92 +18372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.078665391,0.92 +18373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.527954719,0.92 +18371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.940795612,0.92 +18374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.378865073,0.92 +18376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.30183845,0.92 +18375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.389296181,0.92 +18378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.480101659,0.92 +18377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.609482499,0.92 +18379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.954404003,0.92 +18380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.337097897,0.92 +18381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.044303149,0.92 +18382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.036955587,0.92 +18383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.359995352,0.92 +18384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.849823801,0.92 +18385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.877956847,0.92 +18387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-1.60946103,0.92 +18388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,10.88324901,0.92 +18389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.744193806,0.92 +18390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.671231148,0.92 +18386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.579552892,0.92 +18391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.359057231,0.92 +18392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.753515939,0.92 +18394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,11.29008476,0.92 +18393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.501412452,0.92 +18395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.327861452,0.92 +18396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.151751917,0.92 +18397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.878654847,0.92 +18398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.915746312,0.92 +18399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.245955405,0.92 +18400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.975529374,0.92 +18401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.486530464,0.92 +18402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.38364754,0.92 +18403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.953625656,0.92 +18404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.575145083,0.92 +18406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.029752636,0.92 +18407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.812372122,0.92 +18408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,9.343252438,0.92 +18409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.192481542,0.92 +18405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.796941978,0.92 +18410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.654510041,0.92 +18411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.132895472,0.92 +18412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.333384572,0.92 +18413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.780155903,0.92 +18414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,12.250634,0.92 +18415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.468265997,0.92 +18416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.552874668,0.92 +18418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.950625564,0.92 +18417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,13.75920175,0.92 +18419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-2.491459639,0.92 +18420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.118966949,0.92 +18421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.906081669,0.92 +18423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.15652749,0.92 +18424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.560049294,0.92 +18422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.39706942,0.92 +18425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.516692559,0.92 +18426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,12.07224345,0.92 +18427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.841766673,0.92 +18428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.240080782,0.92 +18429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.366449045,0.92 +18430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.688767145,0.92 +18431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.232141045,0.92 +18433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.365255875,0.92 +18434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.555495413,0.92 +18432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.075438358,0.92 +18435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.002003702,0.92 +18436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.204734746,0.92 +18439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.498880514,0.92 +18438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,11.92268432,0.92 +18437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.02799311,0.92 +18440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.131841683,0.92 +18442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.538409189,0.92 +18443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,11.55423845,0.92 +18441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-2.230827607,0.92 +18444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.695183069,0.92 +18446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.820308691,0.92 +18447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.545438718,0.92 +18445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.884983161,0.92 +18448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.616813702,0.92 +18450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.047826273,0.92 +18449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.793075033,0.92 +18451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.831505646,0.92 +18452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.630496602,0.92 +18453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.199356044,0.92 +18454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,9.193131393,0.92 +18455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.48694851,0.92 +18456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.43684886,0.92 +18457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.195152079,0.92 +18460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.256452896,0.92 +18458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.880828273,0.92 +18462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.654151105,0.92 +18461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.378060634,0.92 +18463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.653574619,0.92 +18459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.841761025,0.92 +18464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.698736948,0.92 +18465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,10.26713674,0.92 +18466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.155727824,0.92 +18468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.893818739,0.92 +18469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.683509781,0.92 +18470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.614918186,0.92 +18467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.135012007,0.92 +18472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.771081725,0.92 +18473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.171654839,0.92 +18474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.150749519,0.92 +18471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.489572028,0.92 +18475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.619903492,0.92 +18476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.871811761,0.92 +18478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.914503989,0.92 +18479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.75705897,0.92 +18480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,16.96736929,0.92 +18481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.707402214,0.92 +18477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.967226133,0.92 +18482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.54674283,0.92 +18483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.992056816,0.92 +18484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.574946148,0.92 +18486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.226756542,0.92 +18487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.673545362,0.92 +18485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.224636217,0.92 +18488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.801201267,0.92 +18489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.718903776,0.92 +18490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.319518276,0.92 +18491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.370302646,0.92 +18492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.414435081,0.92 +18493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.852094778,0.92 +18494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.029438486,0.92 +18496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.615601959,0.92 +18497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.315620258,0.92 +18498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.035853336,0.92 +18499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.923722884,0.92 +18500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.67997074,0.92 +18495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.460593557,0.92 +18501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.20911492,0.92 +18502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.190392233,0.92 +18504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.122148376,0.92 +18503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.915400354,0.92 +18505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.97132895,0.92 +18506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.719159578,0.92 +18508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-1.507488568,0.92 +18507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.192159703,0.92 +18509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.818120734,0.92 +18510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.730525709,0.92 +18511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.366316057,0.92 +18513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.024724543,0.92 +18512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,9.701242535,0.92 +18515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.907030519,0.92 +18514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.123920812,0.92 +18516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.251243807,0.92 +18518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.171766758,0.92 +18517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.937111442,0.92 +18519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.956305994,0.92 +18520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.177553553,0.92 +18521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.563711557,0.92 +18524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.129732366,0.92 +18522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.02410119,0.92 +18523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,9.829580271,0.92 +18525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.51960169,0.92 +18528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.669465779,0.92 +18526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.695324955,0.92 +18527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.4535394,0.92 +18529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.492550667,0.92 +18530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.516219597,0.92 +18531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.120240065,0.92 +18533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.226177192,0.92 +18535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.586833514,0.92 +18532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.221881858,0.92 +18534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.751751902,0.92 +18536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.944148915,0.92 +18537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.530938845,0.92 +18540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.775311745,0.92 +18538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.604903709,0.92 +18539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,9.817163756,0.92 +18541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.587694588,0.92 +18542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,9.185130116,0.92 +18544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,12.18252536,0.92 +18545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.116141614,0.92 +18543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.156789765,0.92 +18547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.901975428,0.92 +18549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.920910109,0.92 +18546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.729948263,0.92 +18548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.962938366,0.92 +18550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.780480655,0.92 +18552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.850712982,0.92 +18553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.185422359,0.92 +18554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.213032938,0.92 +18555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.897037645,0.92 +18556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.570770988,0.92 +18557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,10.30707612,0.92 +18558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,10.06155985,0.92 +18551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.797762555,0.92 +18559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.172528756,0.92 +18560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.36535106,0.92 +18562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.015416997,0.92 +18561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.563393037,0.92 +18564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.586375079,0.92 +18563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-2.263878924,0.92 +18565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.632199247,0.92 +18566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.481247444,0.92 +18568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.115636876,0.92 +18569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.98192542,0.92 +18570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.808959107,0.92 +18571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.527700572,0.92 +18567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.148170927,0.92 +18573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.878930246,0.92 +18574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.218933733,0.92 +18575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,10.04100124,0.92 +18576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.664943471,0.92 +18572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.668349578,0.92 +18578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.165807012,0.92 +18577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-1.10185164,0.92 +18580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.325565572,0.92 +18579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.643424597,0.92 +18581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.327697428,0.92 +18582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.539933801,0.92 +18583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.710189373,0.92 +18584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.675152999,0.92 +18586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.970976241,0.92 +18587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,11.98476986,0.92 +18588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,11.16512155,0.92 +18589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.506916494,0.92 +18585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,12.07948635,0.92 +18591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.360405758,0.92 +18593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.762763422,0.92 +18592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.246036666,0.92 +18595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.664713185,0.92 +18590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.812506688,0.92 +18594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.015027903,0.92 +18596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.114179898,0.92 +18597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.564250802,0.92 +18598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.17138212,0.92 +18599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.278381735,0.92 +18600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.461215319,0.92 +18602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.469672248,0.92 +18603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.898885231,0.92 +18604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.707915542,0.92 +18605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.552522737,0.92 +18606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.16686012,0.92 +18607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.783498631,0.92 +18601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.3741123,0.92 +18611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.087984665,0.92 +18609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.447035351,0.92 +18610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.418878082,0.92 +18608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.176710332,0.92 +18612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.918086945,0.92 +18613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.231281926,0.92 +18614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,16.44632715,0.92 +18615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.118682603,0.92 +18616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.153231406,0.92 +18617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.440324592,0.92 +18618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.394546385,0.92 +18619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.251614902,0.92 +18621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.63861541,0.92 +18622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.03994603,0.92 +18620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.148394737,0.92 +18623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.599463597,0.92 +18624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,10.53768132,0.92 +18626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.148206662,0.92 +18627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.064962357,0.92 +18625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.367806248,0.92 +18628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.759242582,0.92 +18629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.617898309,0.92 +18631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.048165092,0.92 +18630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.11407212,0.92 +18632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.114850506,0.92 +18633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.313292313,0.92 +18634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.907822965,0.92 +18635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.411496141,0.92 +18636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.176703595,0.92 +18638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.492017023,0.92 +18637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.027634704,0.92 +18640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.341566603,0.92 +18639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.581417606,0.92 +18641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.701579111,0.92 +18642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.800988965,0.92 +18644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.685208978,0.92 +18643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.861253239,0.92 +18645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.297167828,0.92 +18646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.982500992,0.92 +18649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.701673525,0.92 +18648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,15.14523106,0.92 +18650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.662329747,0.92 +18647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.439946768,0.92 +18651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,14.85336751,0.92 +18652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.240624692,0.92 +18654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,10.05140757,0.92 +18653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.621394413,0.92 +18656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.351472473,0.92 +18655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.651427706,0.92 +18658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-2.333810993,0.92 +18657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-1.742518966,0.92 +18660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.188577708,0.92 +18661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.059546781,0.92 +18662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.042054613,0.92 +18663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,12.93824737,0.92 +18659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,11.29750119,0.92 +18664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.470313608,0.92 +18665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.921670173,0.92 +18666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.454768598,0.92 +18668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,11.33279638,0.92 +18669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.17941337,0.92 +18667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.556360867,0.92 +18670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.106869887,0.92 +18673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.303719202,0.92 +18671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.323714968,0.92 +18674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.391363737,0.92 +18672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.785076375,0.92 +18675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.193426415,0.92 +18676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.349783015,0.92 +18677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.761332823,0.92 +18678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.490027577,0.92 +18680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.817641796,0.92 +18681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.949194348,0.92 +18682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.334151699,0.92 +18679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.242290971,0.92 +18683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,10.69291677,0.92 +18686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.488882538,0.92 +18685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,12.02926815,0.92 +18684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.788638239,0.92 +18688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.883380092,0.92 +18687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.272053655,0.92 +18690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.108007637,0.92 +18689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.326206425,0.92 +18691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.538077745,0.92 +18692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.734521284,0.92 +18693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.731526387,0.92 +18694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,11.77084995,0.92 +18696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.079065555,0.92 +18697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.117875775,0.92 +18695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,11.42621745,0.92 +18699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.226153949,0.92 +18698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.518805319,0.92 +18700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.607197061,0.92 +18701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.565693045,0.92 +18703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,9.184644664,0.92 +18705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.955333488,0.92 +18702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.266464472,0.92 +18704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.393664127,0.92 +18707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.839852209,0.92 +18706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.50159166,0.92 +18708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,10.04492553,0.92 +18709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.040069077,0.92 +18711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.754411613,0.92 +18712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.190197415,0.92 +18713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,9.182447144,0.92 +18710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.929373335,0.92 +18715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.48994965,0.92 +18716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.409094461,0.92 +18714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.711987853,0.92 +18717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,14.89851729,0.92 +18718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.687926927,0.92 +18720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.973729551,0.92 +18719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.562537803,0.92 +18721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.135788245,0.92 +18722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,11.14380742,0.92 +18723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.620914252,0.92 +18724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.092250878,0.92 +18725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.703134565,0.92 +18726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.050438841,0.92 +18728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.43630273,0.92 +18727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.789268113,0.92 +18730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.870651271,0.92 +18731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,14.7936319,0.92 +18729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.521768137,0.92 +18732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.104940045,0.92 +18733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-3.232506334,0.92 +18734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.676307339,0.92 +18735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.063480085,0.92 +18737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.382605459,0.92 +18739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.260175822,0.92 +18738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.190891136,0.92 +18736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.669047004,0.92 +18740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.587595274,0.92 +18742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.214835905,0.92 +18741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.730401791,0.92 +18744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.248706992,0.92 +18746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.837923656,0.92 +18745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.660491111,0.92 +18743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.535973871,0.92 +18750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.084426126,0.92 +18747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.662460434,0.92 +18749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.298325218,0.92 +18748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.285810855,0.92 +18752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.179975856,0.92 +18753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.048140887,0.92 +18754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.488043548,0.92 +18751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.709567605,0.92 +18755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.107987636,0.92 +18756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.415446977,0.92 +18757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.145604808,0.92 +18759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.006053438,0.92 +18758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.194412133,0.92 +18760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.759942815,0.92 +18761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.016970899,0.92 +18763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.868830345,0.92 +18764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.834176719,0.92 +18762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.011105331,0.92 +18765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.277726173,0.92 +18767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.505343084,0.92 +18768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.225471476,0.92 +18769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.836202123,0.92 +18766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.767956501,0.92 +18770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.550006295,0.92 +18771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.13038438,0.92 +18772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.345543112,0.92 +18774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.408989647,0.92 +18775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.836712161,0.92 +18776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.963572611,0.92 +18773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.861342286,0.92 +18778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.600137575,0.92 +18777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.144005612,0.92 +18780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.924951603,0.92 +18779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.112625282,0.92 +18781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.4958841,0.92 +18784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.429085142,0.92 +18782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.778822916,0.92 +18783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.072042201,0.92 +18785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.899556598,0.92 +18786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.40257666,0.92 +18787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.931618176,0.92 +18788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.025379784,0.92 +18789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,11.30795651,0.92 +18791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.468986391,0.92 +18790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.361051948,0.92 +18793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.305743468,0.92 +18794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.28768095,0.92 +18792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,10.6500389,0.92 +18795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.864320562,0.92 +18796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.727943419,0.92 +18797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.772864999,0.92 +18799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.911004613,0.92 +18798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.337286514,0.92 +18800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.310870265,0.92 +18801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.572317432,0.92 +18803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.182595454,0.92 +18802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.343809409,0.92 +18804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.683989156,0.92 +18805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.418121223,0.92 +18806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.073010445,0.92 +18807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-2.283976944,0.92 +18808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.021292546,0.92 +18809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.942846499,0.92 +18811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.788684559,0.92 +18812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.128890389,0.92 +18810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.487094078,0.92 +18813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.931501214,0.92 +18814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.908953004,0.92 +18816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.231961821,0.92 +18815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.500131612,0.92 +18817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,14.39197981,0.92 +18818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.110961366,0.92 +18819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.401214886,0.92 +18820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.425798734,0.92 +18821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.809215253,0.92 +18822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.918204226,0.92 +18824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.201968814,0.92 +18825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.607036663,0.92 +18823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.655406991,0.92 +18826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.084089537,0.92 +18827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.905927477,0.92 +18828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.707165881,0.92 +18830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.742119308,0.92 +18829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-1.240288887,0.92 +18831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.174752869,0.92 +18832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.92346962,0.92 +18833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,11.41016942,0.92 +18834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.481393697,0.92 +18835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.818726236,0.92 +18837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.608471619,0.92 +18836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.455043632,0.92 +18839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-5.054785775,0.92 +18838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-2.75367102,0.92 +18840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.431935481,0.92 +18841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.460250077,0.92 +18843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,11.29130659,0.92 +18842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.718565524,0.92 +18844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-1.204875588,0.92 +18845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.618179049,0.92 +18846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.933639815,0.92 +18847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.004262582,0.92 +18848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-2.411762484,0.92 +18849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.966120345,0.92 +18850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.850653411,0.92 +18851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.38526648,0.92 +18852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.834984453,0.92 +18853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.120430053,0.92 +18855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.83298067,0.92 +18857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.276814067,0.92 +18856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.614277612,0.92 +18854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.067670389,0.92 +18860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,9.774380234,0.92 +18859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.236188119,0.92 +18858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.237146165,0.92 +18862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.420596669,0.92 +18863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-2.716545083,0.92 +18861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.324014421,0.92 +18866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.604963638,0.92 +18865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.24966923,0.92 +18867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.016042965,0.92 +18864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.735062431,0.92 +18868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,10.64089325,0.92 +18869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.905955717,0.92 +18870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-1.073035963,0.92 +18871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.289016155,0.92 +18875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-1.923088899,0.92 +18872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.065837341,0.92 +18873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.707922313,0.92 +18874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.452467294,0.92 +18877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.101447894,0.92 +18878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,16.32935029,0.92 +18879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,10.7094464,0.92 +18880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.845097667,0.92 +18881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.278889973,0.92 +18876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.858790112,0.92 +18883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.279997863,0.92 +18882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.206268752,0.92 +18884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.412253181,0.92 +18885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.355272475,0.92 +18887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.467280193,0.92 +18888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.625135135,0.92 +18886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.831887975,0.92 +18889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-2.553681389,0.92 +18891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.697283289,0.92 +18892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.001914459,0.92 +18893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.185179025,0.92 +18890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-2.51091874,0.92 +18894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.058529906,0.92 +18895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.179408948,0.92 +18898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.214873256,0.92 +18899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.386199542,0.92 +18897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.298779598,0.92 +18896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.792351372,0.92 +18902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.185270828,0.92 +18903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.982720336,0.92 +18901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.270296041,0.92 +18900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.240085679,0.92 +18904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.549898689,0.92 +18905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.719239833,0.92 +18906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.271713793,0.92 +18907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.782585202,0.92 +18908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.249179823,0.92 +18909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,13.08859083,0.92 +18910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.154660984,0.92 +18911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.984359483,0.92 +18914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.289998833,0.92 +18915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.060755279,0.92 +18912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.98613699,0.92 +18913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,10.0922567,0.92 +18916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.413760391,0.92 +18917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.343569157,0.92 +18918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.266139986,0.92 +18919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.432935567,0.92 +18920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.184800801,0.92 +18921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.560013622,0.92 +18922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.147520573,0.92 +18923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.635334897,0.92 +18926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.777442737,0.92 +18924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,8.909439884,0.92 +18925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.961049558,0.92 +18927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.711243255,0.92 +18929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.861250222,0.92 +18930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.266531543,0.92 +18931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.266982692,0.92 +18928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-1.74911574,0.92 +18933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.292452887,0.92 +18932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.211428884,0.92 +18935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,10.88954377,0.92 +18934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.861865195,0.92 +18936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.03451805,0.92 +18937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.165371895,0.92 +18938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.764145968,0.92 +18939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.44270825,0.92 +18940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.336280439,0.92 +18941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.223484707,0.92 +18942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,13.02222991,0.92 +18943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,10.94459797,0.92 +18944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.040474371,0.92 +18945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.221014887,0.92 +18947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.292491111,0.92 +18948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-0.360470509,0.92 +18949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-1.352216915,0.92 +18950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.673582248,0.92 +18946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.940131897,0.92 +18951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.293006777,0.92 +18952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.113329775,0.92 +18953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.895116818,0.92 +18955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.507437523,0.92 +18954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,11.2036647,0.92 +18957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.9704824,0.92 +18956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.250561147,0.92 +18958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,12.00599638,0.92 +18959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.03205407,0.92 +18961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.606880448,0.92 +18962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.703021725,0.92 +18960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,10.00630125,0.92 +18964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.094856402,0.92 +18963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.961846598,0.92 +18965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.462094438,0.92 +18966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.705993581,0.92 +18969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.393760685,0.92 +18967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.470039986,0.92 +18968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,9.133125263,0.92 +18970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.924144677,0.92 +18972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.14582953,0.92 +18971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.015358744,0.92 +18973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.642251224,0.92 +18974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.570547375,0.92 +18977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.880753594,0.92 +18976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,12.07017669,0.92 +18975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,-2.274954353,0.92 +18978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.010801411,0.92 +18979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,10.62821632,0.92 +18980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.466056535,0.92 +18982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,10.51006217,0.92 +18981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.746805172,0.92 +18984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.984724164,0.92 +18985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.744967718,0.92 +18986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.045580266,0.92 +18983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.58050616,0.92 +18987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.849971459,0.92 +18988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,6.948250657,0.92 +18990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.634398964,0.92 +18991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.73020689,0.92 +18992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,9.715738314,0.92 +18989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,10.86340224,0.92 +18993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,11.76128767,0.92 +18994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,3.910896445,0.92 +18995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,2.085757776,0.92 +18997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,0.407127665,0.92 +18996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,1.746481138,0.92 +18998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,4.067747371,0.92 +18999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,5.504429471,0.92 +19000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,9,1,7.334973237,0.92 +28002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.819874513,0.958 +28001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.527385889,0.958 +28003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.063177617,0.958 +28006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.234812044,0.958 +28005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.198367427,0.958 +28004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.031177607,0.958 +28007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.945018185,0.958 +28009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.076444073,0.958 +28010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.89714531,0.958 +28011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-0.386874806,0.958 +28012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.972337618,0.958 +28013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-0.297822628,0.958 +28014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.259065487,0.958 +28008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-1.788753312,0.958 +28016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.411516798,0.958 +28015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.032200236,0.958 +28019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.226452265,0.958 +28020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.326834105,0.958 +28017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.214683985,0.958 +28018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.771580376,0.958 +28023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.192936161,0.958 +28021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.87681624,0.958 +28022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,10.84099264,0.958 +28024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.268244559,0.958 +28026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.41074349,0.958 +28025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.001747144,0.958 +28027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.710142461,0.958 +28028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.244253342,0.958 +28029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.733992868,0.958 +28030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.961455543,0.958 +28031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,10.49606703,0.958 +28033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.602284903,0.958 +28034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.444170683,0.958 +28035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.479230336,0.958 +28032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.892891409,0.958 +28036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.127105598,0.958 +28037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.532361483,0.958 +28038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,9.894740312,0.958 +28039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.300282417,0.958 +28040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.233480701,0.958 +28041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,9.810201702,0.958 +28042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-2.495058712,0.958 +28043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.752328592,0.958 +28044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.747640266,0.958 +28045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.808457993,0.958 +28046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.554498339,0.958 +28048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,10.39458092,0.958 +28049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,10.16437119,0.958 +28050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.346771894,0.958 +28047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.368308369,0.958 +28051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.876785359,0.958 +28052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.909442516,0.958 +28053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.053101383,0.958 +28055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.068248262,0.958 +28054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.762140721,0.958 +28056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-0.088661295,0.958 +28058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.698788746,0.958 +28059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.354650848,0.958 +28060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.133020429,0.958 +28057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.713443841,0.958 +28061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.875485376,0.958 +28062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.587062084,0.958 +28063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.026919755,0.958 +28064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.949643745,0.958 +28065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.426150851,0.958 +28067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.486574604,0.958 +28068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.311105929,0.958 +28066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.858440612,0.958 +28069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.565092649,0.958 +28070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.09909164,0.958 +28072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.164638545,0.958 +28073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,11.80002882,0.958 +28074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.969408482,0.958 +28071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.046876226,0.958 +28076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.064475256,0.958 +28075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.010289032,0.958 +28077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,9.831752789,0.958 +28078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.353008091,0.958 +28080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.525691684,0.958 +28079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.522430147,0.958 +28081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.068234268,0.958 +28082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.446219597,0.958 +28084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.805220128,0.958 +28083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,11.3743091,0.958 +28085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.325995133,0.958 +28086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.990711553,0.958 +28087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.73033152,0.958 +28089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.732314623,0.958 +28088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.924617738,0.958 +28091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.06850059,0.958 +28092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.824199741,0.958 +28093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.92701616,0.958 +28090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.480133304,0.958 +28094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.611736875,0.958 +28097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.592746729,0.958 +28096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.712201518,0.958 +28095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,8.831056793,0.958 +28098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,13.6560698,0.958 +28099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.754423903,0.958 +28101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.76410284,0.958 +28102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,12.75906403,0.958 +28103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.33970356,0.958 +28100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.253358305,0.958 +28104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.220064854,0.958 +28105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,11.60412369,0.958 +28106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.257401746,0.958 +28108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.227078318,0.958 +28109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.113206733,0.958 +28107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.943223574,0.958 +28111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.759786992,0.958 +28113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.365095147,0.958 +28112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.110868796,0.958 +28110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.153474401,0.958 +28114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.979495998,0.958 +28116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.940521895,0.958 +28118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,12.26145386,0.958 +28117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.824688308,0.958 +28119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.718984971,0.958 +28120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.306757763,0.958 +28115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.614830597,0.958 +28121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.698839902,0.958 +28122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.98295387,0.958 +28123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.318088383,0.958 +28125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.557820243,0.958 +28124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.609104174,0.958 +28127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.639575834,0.958 +28126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.323069832,0.958 +28128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.618954519,0.958 +28129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.615379027,0.958 +28130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.849007517,0.958 +28131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.799376518,0.958 +28132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.796795022,0.958 +28133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.979521881,0.958 +28134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.415910711,0.958 +28136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.012031254,0.958 +28135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.293199288,0.958 +28138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.714344095,0.958 +28139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.071301355,0.958 +28137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.548529179,0.958 +28140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.899330638,0.958 +28143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.095165479,0.958 +28141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.45596321,0.958 +28142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,11.13830955,0.958 +28144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.09072814,0.958 +28145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,11.99317758,0.958 +28146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.160781472,0.958 +28147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.55781908,0.958 +28148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,8.83046471,0.958 +28149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.550982141,0.958 +28150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.592810275,0.958 +28151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,9.942784688,0.958 +28152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.888031631,0.958 +28154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.94125192,0.958 +28155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.491278353,0.958 +28156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.932703909,0.958 +28153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.17120266,0.958 +28157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.420480655,0.958 +28158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.895581752,0.958 +28159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.576036551,0.958 +28161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.052796824,0.958 +28162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.581631748,0.958 +28160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.130249737,0.958 +28163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,11.39066548,0.958 +28164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.625659877,0.958 +28165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.41424132,0.958 +28166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.443079423,0.958 +28167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.448011285,0.958 +28168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.344998951,0.958 +28169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.404310329,0.958 +28170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,15.28593126,0.958 +28171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.423289997,0.958 +28173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.668211474,0.958 +28172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.570612366,0.958 +28174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.24792681,0.958 +28176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.949023847,0.958 +28175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-0.126327344,0.958 +28177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.686159842,0.958 +28178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.989392377,0.958 +28179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.426614787,0.958 +28180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.675989468,0.958 +28181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.792487371,0.958 +28182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.854216843,0.958 +28184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.311209968,0.958 +28185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.237479239,0.958 +28183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-0.070289321,0.958 +28186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.173199446,0.958 +28187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.844181704,0.958 +28189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.151271138,0.958 +28188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.816720608,0.958 +28191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.449917428,0.958 +28190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.261895571,0.958 +28192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.272899551,0.958 +28193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.887024244,0.958 +28194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.98198222,0.958 +28196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.797046328,0.958 +28195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.512897132,0.958 +28197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.574039541,0.958 +28198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.027305981,0.958 +28199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.626186327,0.958 +28200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.464706731,0.958 +28201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.622167103,0.958 +28203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.841993717,0.958 +28202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.256039107,0.958 +28204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.561288698,0.958 +28205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.326329379,0.958 +28207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.478160001,0.958 +28206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.064203962,0.958 +28209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.859551063,0.958 +28211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.824564589,0.958 +28210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.139293243,0.958 +28208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.889052204,0.958 +28212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.826768979,0.958 +28213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.786456241,0.958 +28214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.831316632,0.958 +28216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.484471041,0.958 +28217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.592084896,0.958 +28218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.321945071,0.958 +28215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.459089696,0.958 +28219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,9.89541363,0.958 +28220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.109851961,0.958 +28221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,10.8230395,0.958 +28222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.941094578,0.958 +28223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.580847596,0.958 +28224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.148361712,0.958 +28225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.55789211,0.958 +28226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,8.586728966,0.958 +28227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.123244407,0.958 +28228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.778483986,0.958 +28229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.897953752,0.958 +28231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,9.757333416,0.958 +28232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.924317962,0.958 +28233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.594711606,0.958 +28234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.266686581,0.958 +28235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.442753097,0.958 +28230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.79079475,0.958 +28236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,10.07062744,0.958 +28237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.736832062,0.958 +28238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.636303627,0.958 +28239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.640413839,0.958 +28240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.438445746,0.958 +28241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.790249694,0.958 +28242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.741958469,0.958 +28244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,14.18470524,0.958 +28243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.31894166,0.958 +28245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,10.37021416,0.958 +28246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.83027084,0.958 +28247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.542997213,0.958 +28249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.453753891,0.958 +28250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.672408813,0.958 +28248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.234664255,0.958 +28251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.320498895,0.958 +28254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.894705099,0.958 +28253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.967133219,0.958 +28252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.628076023,0.958 +28255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.106623731,0.958 +28256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.119916576,0.958 +28257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.923067293,0.958 +28258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.614962298,0.958 +28259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.720398913,0.958 +28261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.275149499,0.958 +28262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-2.112267693,0.958 +28260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.738558533,0.958 +28263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.667188734,0.958 +28264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.769732117,0.958 +28265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.11288619,0.958 +28266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.64562781,0.958 +28267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,8.749603231,0.958 +28268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.530043171,0.958 +28269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.451605769,0.958 +28271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.624585537,0.958 +28270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.178061536,0.958 +28272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.548666481,0.958 +28273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,8.716735205,0.958 +28274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.964264921,0.958 +28276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.095963648,0.958 +28275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-0.844749307,0.958 +28277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.334247989,0.958 +28278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.211807578,0.958 +28279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.9779373,0.958 +28281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.600335399,0.958 +28280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.715627605,0.958 +28282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.996019111,0.958 +28283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.19950399,0.958 +28286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.755633187,0.958 +28287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.729944686,0.958 +28285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.700669034,0.958 +28288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.223877371,0.958 +28289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.885700089,0.958 +28284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.186037272,0.958 +28290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.140251289,0.958 +28291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.725513307,0.958 +28292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.643574772,0.958 +28293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.711703225,0.958 +28294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.091107181,0.958 +28295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,14.03545236,0.958 +28297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.474074619,0.958 +28298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.078698625,0.958 +28296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,9.365628673,0.958 +28299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.127318848,0.958 +28300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.091269825,0.958 +28301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-0.049596039,0.958 +28302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.45839447,0.958 +28303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,10.56901435,0.958 +28304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.205485137,0.958 +28305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.963494403,0.958 +28308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.736682781,0.958 +28307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.763376003,0.958 +28309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.031798611,0.958 +28310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.293692038,0.958 +28306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.501813111,0.958 +28311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.794736529,0.958 +28312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.042245479,0.958 +28314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.7785479,0.958 +28315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,9.952556803,0.958 +28313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.989134172,0.958 +28316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.021037341,0.958 +28317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.934517084,0.958 +28319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.582836317,0.958 +28320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.954405442,0.958 +28321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.604938251,0.958 +28322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.192874534,0.958 +28323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.846954112,0.958 +28318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.580560688,0.958 +28325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.230865818,0.958 +28324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.40199226,0.958 +28326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.390037445,0.958 +28327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.84759123,0.958 +28329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.732512034,0.958 +28328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,11.03725776,0.958 +28331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.224253194,0.958 +28330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.339349957,0.958 +28332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.968241568,0.958 +28333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,9.520692753,0.958 +28334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.85649873,0.958 +28335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.001426317,0.958 +28336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.332876908,0.958 +28337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.29656894,0.958 +28339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,10.94629784,0.958 +28341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.404189921,0.958 +28342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.3702058,0.958 +28338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.095768054,0.958 +28340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.440605805,0.958 +28343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,8.480895159,0.958 +28344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.945856196,0.958 +28345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.776292457,0.958 +28346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-3.363229862,0.958 +28347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.878973116,0.958 +28348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.651152742,0.958 +28349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,11.11054638,0.958 +28350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-0.173261654,0.958 +28351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.514779998,0.958 +28352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.124895637,0.958 +28353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.015939901,0.958 +28354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.508671609,0.958 +28355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,10.86756428,0.958 +28356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.75282471,0.958 +28358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.600493325,0.958 +28359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.102310163,0.958 +28360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.731593949,0.958 +28357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.029844541,0.958 +28361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.945608758,0.958 +28362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.194117226,0.958 +28363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.533026887,0.958 +28364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.287010739,0.958 +28365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.763302803,0.958 +28366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,8.029684,0.958 +28367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.758085787,0.958 +28368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.796425043,0.958 +28369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,9.615338374,0.958 +28370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,11.29757801,0.958 +28371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.031457752,0.958 +28373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.350302084,0.958 +28372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.469696922,0.958 +28374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.864732237,0.958 +28375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.197306427,0.958 +28376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.907774623,0.958 +28378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.409095119,0.958 +28377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.732017762,0.958 +28379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.201474228,0.958 +28380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.82024853,0.958 +28381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.841767175,0.958 +28382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.761754669,0.958 +28383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.41102023,0.958 +28384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.88155566,0.958 +28385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.201970251,0.958 +28386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.577974346,0.958 +28388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.893229441,0.958 +28387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.577275461,0.958 +28389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.594601737,0.958 +28391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.978373998,0.958 +28392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.377671483,0.958 +28393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.826235653,0.958 +28395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.058025158,0.958 +28394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.188619107,0.958 +28390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.977331977,0.958 +28396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.569018062,0.958 +28397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.399492321,0.958 +28399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.787580046,0.958 +28400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.392570545,0.958 +28401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.437836586,0.958 +28398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.902009651,0.958 +28402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.985427637,0.958 +28404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.390793688,0.958 +28403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.515403082,0.958 +28405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-1.290504171,0.958 +28406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.956967146,0.958 +28407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.011602085,0.958 +28408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.237308099,0.958 +28409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.481187305,0.958 +28411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.984572188,0.958 +28412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.925303316,0.958 +28414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.588130446,0.958 +28410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-0.089687556,0.958 +28415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.95207509,0.958 +28413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.820237254,0.958 +28416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.737889188,0.958 +28417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.970651368,0.958 +28419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.400589255,0.958 +28418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.649030894,0.958 +28421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.795611253,0.958 +28422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.802174166,0.958 +28420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.990925781,0.958 +28423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.897250025,0.958 +28425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,8.30239245,0.958 +28426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,8.224468889,0.958 +28424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.784506637,0.958 +28427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,10.37437018,0.958 +28429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-0.471467569,0.958 +28431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.697917255,0.958 +28432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,8.378681499,0.958 +28428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,8.278443794,0.958 +28430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-0.363567216,0.958 +28436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.445317289,0.958 +28435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.448154425,0.958 +28433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.623245484,0.958 +28434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,9.829853697,0.958 +28438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.094238161,0.958 +28437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.436030486,0.958 +28439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.494747392,0.958 +28440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.776559569,0.958 +28441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.160461742,0.958 +28443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.660308252,0.958 +28444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.409280136,0.958 +28442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.299950782,0.958 +28446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,8.237740458,0.958 +28447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.030641997,0.958 +28448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.017509133,0.958 +28445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.213131677,0.958 +28449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.656755529,0.958 +28450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.267061247,0.958 +28451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.362253876,0.958 +28452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.186277824,0.958 +28453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.713522543,0.958 +28454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.451778859,0.958 +28456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.962734261,0.958 +28455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.13864611,0.958 +28458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.733793701,0.958 +28457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.368715409,0.958 +28459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.34280011,0.958 +28461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.950445234,0.958 +28462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,13.14175636,0.958 +28465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.450424451,0.958 +28464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.858058874,0.958 +28460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.56070943,0.958 +28463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.363286148,0.958 +28466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.690752318,0.958 +28468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.021112353,0.958 +28467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.431480033,0.958 +28469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.977251672,0.958 +28471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.634351396,0.958 +28470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,9.505751007,0.958 +28472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.075853986,0.958 +28473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.174856618,0.958 +28476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.185458375,0.958 +28474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.164472942,0.958 +28475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.112280624,0.958 +28477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.528938692,0.958 +28479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.425372148,0.958 +28480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.785074684,0.958 +28481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.905728725,0.958 +28478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.388790552,0.958 +28483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.144261747,0.958 +28482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.764074801,0.958 +28484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.34551476,0.958 +28485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,11.08990081,0.958 +28486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.788422502,0.958 +28487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.521484028,0.958 +28488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.467040119,0.958 +28490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.875097467,0.958 +28489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.6102378,0.958 +28491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.491861961,0.958 +28492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.381870553,0.958 +28494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.728429357,0.958 +28495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.434490029,0.958 +28496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.34496402,0.958 +28493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,9.244122441,0.958 +28498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.050509182,0.958 +28499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,10.79475222,0.958 +28500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.891849658,0.958 +28501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.335976513,0.958 +28497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.876125306,0.958 +28502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.826137484,0.958 +28503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.123987341,0.958 +28504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.338623032,0.958 +28506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.693736926,0.958 +28505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.359223551,0.958 +28507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,9.131542786,0.958 +28508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.362683927,0.958 +28509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.546602598,0.958 +28510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.661066253,0.958 +28512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.126460968,0.958 +28511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.121308497,0.958 +28513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-0.372249014,0.958 +28514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.689092833,0.958 +28515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.652371346,0.958 +28516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.085872395,0.958 +28517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,10.91942028,0.958 +28518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.250614262,0.958 +28519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.354956602,0.958 +28521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.87469605,0.958 +28520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.46940179,0.958 +28523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.919381729,0.958 +28524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-1.295501776,0.958 +28525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.799410942,0.958 +28522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.208921081,0.958 +28526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.968378826,0.958 +28528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.106074721,0.958 +28527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.178039745,0.958 +28529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.665371628,0.958 +28530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.454320046,0.958 +28532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.448176378,0.958 +28531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.04242687,0.958 +28533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.121487292,0.958 +28534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.295944273,0.958 +28535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.612207883,0.958 +28537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.797156001,0.958 +28536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.6458376,0.958 +28538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.57636347,0.958 +28539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,8.200743641,0.958 +28541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,8.9517929,0.958 +28542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.384295907,0.958 +28543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.406872755,0.958 +28540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.663584472,0.958 +28544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.000431701,0.958 +28545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.06487941,0.958 +28546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.889201392,0.958 +28547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.013291631,0.958 +28549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.174503821,0.958 +28550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.537120523,0.958 +28548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.968741822,0.958 +28551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.572480893,0.958 +28552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-0.855270677,0.958 +28553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.944876327,0.958 +28555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.008921337,0.958 +28554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.714931366,0.958 +28556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,9.668356888,0.958 +28557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.163082036,0.958 +28558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.038438848,0.958 +28559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-0.108983614,0.958 +28560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.001095498,0.958 +28561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.67248251,0.958 +28562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.680271155,0.958 +28564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,8.340122972,0.958 +28565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.325683466,0.958 +28566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,11.27554409,0.958 +28567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.969264008,0.958 +28563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.376995688,0.958 +28568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,8.106508532,0.958 +28569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.381226469,0.958 +28570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,15.75421442,0.958 +28572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-0.024157849,0.958 +28571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.283413854,0.958 +28573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.593348259,0.958 +28574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-1.806334549,0.958 +28575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.199529545,0.958 +28576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.430367748,0.958 +28577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.773711921,0.958 +28578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.162279052,0.958 +28579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.360142928,0.958 +28581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,10.06157088,0.958 +28583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.438725502,0.958 +28582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.5185159,0.958 +28584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.345387552,0.958 +28585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,9.951121213,0.958 +28586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,16.70336438,0.958 +28580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.098560221,0.958 +28589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.420255567,0.958 +28590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.328199273,0.958 +28587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.360282956,0.958 +28588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.883640014,0.958 +28591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.144744318,0.958 +28593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.897203492,0.958 +28592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.049216154,0.958 +28594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,9.140631995,0.958 +28596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,9.210126644,0.958 +28595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.178675607,0.958 +28597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.108563478,0.958 +28598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-0.369883047,0.958 +28599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,10.13945671,0.958 +28600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.609291901,0.958 +28602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.587095674,0.958 +28601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.481263246,0.958 +28603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.184036322,0.958 +28605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.518805866,0.958 +28604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.479620184,0.958 +28606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.605097501,0.958 +28608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.436338273,0.958 +28607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-0.052570761,0.958 +28609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,8.440109253,0.958 +28610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.044700882,0.958 +28611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.204712132,0.958 +28612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.18820912,0.958 +28613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.55402364,0.958 +28614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.920594374,0.958 +28615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.444687853,0.958 +28616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.931779506,0.958 +28617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.576307652,0.958 +28620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.180168083,0.958 +28618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.736286899,0.958 +28619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.510519166,0.958 +28621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.941763923,0.958 +28622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.911513443,0.958 +28623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.513985192,0.958 +28625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.197936532,0.958 +28624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.219636349,0.958 +28626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.537655946,0.958 +28628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.755929749,0.958 +28629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,17.25093958,0.958 +28630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.840945648,0.958 +28627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,8.718678825,0.958 +28632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.237950483,0.958 +28631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.486349474,0.958 +28633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.281670651,0.958 +28634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.318442936,0.958 +28636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.30638422,0.958 +28635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.616643747,0.958 +28637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.823329337,0.958 +28638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,12.25300937,0.958 +28640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.682200573,0.958 +28639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.938740782,0.958 +28643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.511556406,0.958 +28641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.529282336,0.958 +28644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.767113941,0.958 +28642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-1.698643893,0.958 +28645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.770773655,0.958 +28647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.687943757,0.958 +28646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.990095442,0.958 +28648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,9.082705263,0.958 +28651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.61765714,0.958 +28650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.809434342,0.958 +28649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.74210941,0.958 +28652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.561610317,0.958 +28654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.100917979,0.958 +28655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.436650924,0.958 +28657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.822185747,0.958 +28653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.711298161,0.958 +28658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.960013945,0.958 +28659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.157154865,0.958 +28660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.300603821,0.958 +28661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.828661245,0.958 +28656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.472323176,0.958 +28663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.67649313,0.958 +28662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.949945902,0.958 +28665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.031813655,0.958 +28664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.321526408,0.958 +28666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.696432854,0.958 +28667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.709898273,0.958 +28668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.058607856,0.958 +28669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.521436472,0.958 +28671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.01429131,0.958 +28670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,11.10595721,0.958 +28673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.764641683,0.958 +28674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.762701659,0.958 +28676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,9.96576577,0.958 +28672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.592019772,0.958 +28675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.05496163,0.958 +28677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.537416684,0.958 +28678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.689494398,0.958 +28679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.454498029,0.958 +28680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,9.335171212,0.958 +28681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.226498613,0.958 +28683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.429034642,0.958 +28682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.107599078,0.958 +28684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.140835849,0.958 +28686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.268716713,0.958 +28685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.842497503,0.958 +28687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.041029477,0.958 +28688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.608500977,0.958 +28690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.409739139,0.958 +28691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.438752712,0.958 +28692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.513924971,0.958 +28693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.440700703,0.958 +28694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.27469138,0.958 +28695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.562595929,0.958 +28689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.001909888,0.958 +28696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.327876493,0.958 +28698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-1.521605069,0.958 +28697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.85138266,0.958 +28699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.496777805,0.958 +28700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.182439826,0.958 +28701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.532270201,0.958 +28702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,8.391249839,0.958 +28703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.13765983,0.958 +28704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.142234201,0.958 +28706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-1.601954599,0.958 +28705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.240081957,0.958 +28708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.172856208,0.958 +28709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.853016116,0.958 +28707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.853975903,0.958 +28710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.703902134,0.958 +28711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.314304289,0.958 +28713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.068909832,0.958 +28712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.367628178,0.958 +28714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.296665741,0.958 +28715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.734923706,0.958 +28716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.525611955,0.958 +28717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.478251058,0.958 +28718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.814824471,0.958 +28719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,9.331452103,0.958 +28721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.899204875,0.958 +28720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.862378635,0.958 +28723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.260212789,0.958 +28724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.941223666,0.958 +28722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.11792155,0.958 +28725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.259619394,0.958 +28726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.533934034,0.958 +28727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.733535595,0.958 +28728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.192969038,0.958 +28730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.460031625,0.958 +28729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.168061057,0.958 +28731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.431518271,0.958 +28732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,11.10511864,0.958 +28733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.130632536,0.958 +28735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.674127772,0.958 +28734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.792680773,0.958 +28736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.482452438,0.958 +28737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.417010309,0.958 +28739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.801328684,0.958 +28740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.051062836,0.958 +28741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.443965612,0.958 +28738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.061406113,0.958 +28742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,8.66301632,0.958 +28745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.572316672,0.958 +28743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.447770182,0.958 +28744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.747241647,0.958 +28747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.458088286,0.958 +28746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.955654817,0.958 +28749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.172560774,0.958 +28748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.687222564,0.958 +28750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-0.205717717,0.958 +28751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.834834186,0.958 +28752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.881189405,0.958 +28754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.16929423,0.958 +28753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,8.110764845,0.958 +28755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,8.366090577,0.958 +28756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.602810783,0.958 +28758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.250542714,0.958 +28757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.048341263,0.958 +28760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.688693692,0.958 +28759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.666216646,0.958 +28761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.812349291,0.958 +28762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.855250611,0.958 +28763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.362611418,0.958 +28764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.247670161,0.958 +28766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.650078383,0.958 +28767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-0.032288005,0.958 +28768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.202514225,0.958 +28769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.249585367,0.958 +28765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.207139033,0.958 +28770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.506371775,0.958 +28771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-0.216266481,0.958 +28773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.555570368,0.958 +28772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.405906848,0.958 +28774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.464963097,0.958 +28776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.364483558,0.958 +28775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.071258309,0.958 +28778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.341875554,0.958 +28777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.127129208,0.958 +28779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.457226423,0.958 +28780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-0.086307941,0.958 +28781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.396654377,0.958 +28782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.136306736,0.958 +28784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.960169802,0.958 +28785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.077074069,0.958 +28786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.538714015,0.958 +28783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.841065801,0.958 +28787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.206003711,0.958 +28788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.526166733,0.958 +28789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.616462137,0.958 +28790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.904649257,0.958 +28792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.436351296,0.958 +28791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.866088961,0.958 +28793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.78274199,0.958 +28794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.808744062,0.958 +28795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.538246886,0.958 +28796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.126552871,0.958 +28797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.282877541,0.958 +28798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.790592405,0.958 +28799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.765979155,0.958 +28800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,8.316405436,0.958 +28804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.170889487,0.958 +28801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.636733825,0.958 +28803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.672127788,0.958 +28802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.364135313,0.958 +28806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.255792387,0.958 +28805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-0.224492392,0.958 +28807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-0.238238026,0.958 +28808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.185976277,0.958 +28809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.689823707,0.958 +28811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,9.606532183,0.958 +28812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.229381325,0.958 +28813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.87871813,0.958 +28810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,8.954176909,0.958 +28815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,9.467519077,0.958 +28814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.851888123,0.958 +28817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.216051553,0.958 +28816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.002501199,0.958 +28820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.635455592,0.958 +28818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.600367479,0.958 +28819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.312840871,0.958 +28821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,8.658301156,0.958 +28822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.5478474,0.958 +28823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,13.40667309,0.958 +28825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.10577977,0.958 +28824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.464278147,0.958 +28827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.842957308,0.958 +28828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.788582675,0.958 +28829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.16875383,0.958 +28830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.444955734,0.958 +28826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.765069564,0.958 +28832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.48127283,0.958 +28831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.576078407,0.958 +28833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.785435567,0.958 +28834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.903856214,0.958 +28836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.159234024,0.958 +28837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,8.813103997,0.958 +28835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.882831174,0.958 +28838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.033600045,0.958 +28839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.358831572,0.958 +28840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.897248907,0.958 +28841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.297170631,0.958 +28842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.13020668,0.958 +28843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.686164922,0.958 +28844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.073467065,0.958 +28845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.512506041,0.958 +28847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.49989761,0.958 +28848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.700964688,0.958 +28846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.218843063,0.958 +28849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,8.357349158,0.958 +28850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.707751427,0.958 +28852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.02911492,0.958 +28851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.785307606,0.958 +28853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.266517601,0.958 +28854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.875584547,0.958 +28855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.461967304,0.958 +28856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.245132348,0.958 +28859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.757440328,0.958 +28858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,8.14693085,0.958 +28857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.463747952,0.958 +28860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.466899865,0.958 +28862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.656817964,0.958 +28864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,13.43835339,0.958 +28863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,10.11639795,0.958 +28861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.930506351,0.958 +28865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-1.107311297,0.958 +28868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,13.04592274,0.958 +28866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.368277275,0.958 +28869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.295476733,0.958 +28870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.669611531,0.958 +28871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.426828974,0.958 +28872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.348634519,0.958 +28867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.089777925,0.958 +28873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.377206339,0.958 +28874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.457997432,0.958 +28875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.65799051,0.958 +28877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.263534911,0.958 +28878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.886744127,0.958 +28876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.179489326,0.958 +28879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.159402659,0.958 +28882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-0.664455085,0.958 +28880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.21897766,0.958 +28881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.316212409,0.958 +28883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.228948783,0.958 +28884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.480269878,0.958 +28886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.30620591,0.958 +28885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.891701412,0.958 +28887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.122564705,0.958 +28890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.11414802,0.958 +28889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.242739242,0.958 +28891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-0.688468714,0.958 +28892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-1.263547,0.958 +28893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.555502684,0.958 +28888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.315983901,0.958 +28894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.131459485,0.958 +28895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.760882371,0.958 +28897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.866496715,0.958 +28896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.768150401,0.958 +28898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.244637995,0.958 +28899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.096774156,0.958 +28901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.186927282,0.958 +28900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.868130101,0.958 +28903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,12.08963298,0.958 +28902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,10.46306555,0.958 +28904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.416071972,0.958 +28905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.547038638,0.958 +28906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-1.30129306,0.958 +28907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.352970778,0.958 +28908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.17758006,0.958 +28911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.332034658,0.958 +28909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.337386759,0.958 +28912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,8.47052177,0.958 +28910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.369695755,0.958 +28913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.682220427,0.958 +28915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.754577353,0.958 +28916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.700835133,0.958 +28914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.238770649,0.958 +28917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.084333981,0.958 +28919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,9.615491053,0.958 +28918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.241479839,0.958 +28920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.266400206,0.958 +28921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.324799113,0.958 +28922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.707019671,0.958 +28923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,11.18717216,0.958 +28925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.578427604,0.958 +28924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.330783973,0.958 +28926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.694488085,0.958 +28927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.488984019,0.958 +28928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.040751689,0.958 +28929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.525075434,0.958 +28930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.904334314,0.958 +28931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.695195793,0.958 +28932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.227042489,0.958 +28933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.520450979,0.958 +28935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.503054386,0.958 +28934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.267694033,0.958 +28936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.233663839,0.958 +28938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.361645513,0.958 +28937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.992186462,0.958 +28939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,10.14603382,0.958 +28940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.481707711,0.958 +28941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.963324106,0.958 +28943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.01350408,0.958 +28942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.583985089,0.958 +28944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.259212124,0.958 +28945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.636738069,0.958 +28946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.745748186,0.958 +28948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.464832104,0.958 +28947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.302562114,0.958 +28949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.492173865,0.958 +28950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.040243902,0.958 +28951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,9.195656563,0.958 +28952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.542194795,0.958 +28953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.391351038,0.958 +28954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.365172378,0.958 +28955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.318701637,0.958 +28956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.642550206,0.958 +28959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.395090794,0.958 +28957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.981066983,0.958 +28958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.361382183,0.958 +28961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.076808067,0.958 +28960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.18737144,0.958 +28962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-0.040887561,0.958 +28964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,11.21549674,0.958 +28966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.517257466,0.958 +28963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.93978262,0.958 +28965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,10.29833631,0.958 +28967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.667867968,0.958 +28968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.104175644,0.958 +28970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.896633574,0.958 +28969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.503737282,0.958 +28972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.25796191,0.958 +28971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.854361437,0.958 +28974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,6.903756606,0.958 +28975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.731319593,0.958 +28976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.503083756,0.958 +28977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,3.832031475,0.958 +28973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-0.038148627,0.958 +28978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-1.426691686,0.958 +28979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.806171132,0.958 +28981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.3202518,0.958 +28982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.275162233,0.958 +28983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.362939246,0.958 +28984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.338116983,0.958 +28985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.363247513,0.958 +28980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.232583064,0.958 +28986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.921224996,0.958 +28987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,2.277096833,0.958 +28989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.749325098,0.958 +28988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.582039686,0.958 +28990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,4.742493044,0.958 +28992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,0.073837203,0.958 +28993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.163430838,0.958 +28994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,9.638290569,0.958 +28995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,12.18018138,0.958 +28996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,-1.312525482,0.958 +28991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,8.905765527,0.958 +28997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,5.645579387,0.958 +28999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,8.933456377,0.958 +29000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,1.591083752,0.958 +28998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,9,1,7.801662826,0.958 +38002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.709008649,0.987 +38001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.737703074,0.987 +38003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.038336146,0.987 +38004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,8.031194938,0.987 +38005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.921221477,0.987 +38007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.230555533,0.987 +38008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.792946247,0.987 +38006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.32558563,0.987 +38009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.234800191,0.987 +38012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.989655692,0.987 +38010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.033443556,0.987 +38011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,7.30938852,0.987 +38013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.425330784,0.987 +38015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.620487712,0.987 +38016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.437460923,0.987 +38017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.731332445,0.987 +38014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.591203197,0.987 +38018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.153355841,0.987 +38020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.022846483,0.987 +38019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.839700667,0.987 +38022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.269417443,0.987 +38023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.061456264,0.987 +38024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.161997059,0.987 +38021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.200584075,0.987 +38026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.038846173,0.987 +38025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.537262133,0.987 +38028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.289370819,0.987 +38027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.639131816,0.987 +38029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.615986953,0.987 +38030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.726175743,0.987 +38031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.687962645,0.987 +38032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.744989825,0.987 +38033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.097182244,0.987 +38034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,10.4155079,0.987 +38036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.269192575,0.987 +38037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.402646219,0.987 +38038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,9.092787569,0.987 +38039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.675912671,0.987 +38040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.771601258,0.987 +38035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.954173212,0.987 +38041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.296796287,0.987 +38042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,7.002734563,0.987 +38043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.440284136,0.987 +38044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.95215236,0.987 +38045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.144748336,0.987 +38046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.443570344,0.987 +38047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.856257963,0.987 +38048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.684717379,0.987 +38049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.64196591,0.987 +38050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.483804873,0.987 +38051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.548870834,0.987 +38053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.165510151,0.987 +38054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.726553514,0.987 +38055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,9.968149114,0.987 +38052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.892353129,0.987 +38057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.548033048,0.987 +38056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,7.213054148,0.987 +38058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.726904794,0.987 +38059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.564133365,0.987 +38060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,7.090308404,0.987 +38061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.690362319,0.987 +38062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.16215523,0.987 +38063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.368610386,0.987 +38064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.095500232,0.987 +38066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.526876808,0.987 +38065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,9.784074861,0.987 +38067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.357098065,0.987 +38068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.629212593,0.987 +38070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.993402091,0.987 +38069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.1512624,0.987 +38072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.222415161,0.987 +38071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,7.752308943,0.987 +38073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.010006399,0.987 +38074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.428173586,0.987 +38076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.80369206,0.987 +38075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.626372813,0.987 +38078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.018284231,0.987 +38077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.030533752,0.987 +38080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.981902488,0.987 +38079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.426735688,0.987 +38082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.412656507,0.987 +38081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.434985401,0.987 +38083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.791846333,0.987 +38085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.321729174,0.987 +38086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.816623164,0.987 +38084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.974996139,0.987 +38087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.554563009,0.987 +38088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.944824127,0.987 +38090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.528041541,0.987 +38091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.191206127,0.987 +38092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,-0.362849058,0.987 +38089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.922711788,0.987 +38093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.08280628,0.987 +38094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.59093211,0.987 +38095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.428346097,0.987 +38098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.096170911,0.987 +38096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.195912012,0.987 +38099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.993610712,0.987 +38097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.782917699,0.987 +38100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,8.04902592,0.987 +38102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.192839205,0.987 +38101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.891939038,0.987 +38103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,8.465525918,0.987 +38105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.41455879,0.987 +38104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,7.325193838,0.987 +38106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.51437193,0.987 +38107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.098767773,0.987 +38108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.009869558,0.987 +38109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.811269036,0.987 +38112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.896582561,0.987 +38111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.055511531,0.987 +38113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.190657797,0.987 +38110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.315495032,0.987 +38115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.194660458,0.987 +38116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.956727064,0.987 +38114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.323245363,0.987 +38117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.96400447,0.987 +38118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.455076906,0.987 +38119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,7.737098143,0.987 +38120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.582044496,0.987 +38121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.368639479,0.987 +38123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.20877788,0.987 +38124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,11.57747859,0.987 +38122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.732161283,0.987 +38125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.290406795,0.987 +38126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.354350628,0.987 +38127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,8.684592686,0.987 +38128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,12.10210067,0.987 +38130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.75955468,0.987 +38131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.827553456,0.987 +38129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,8.173118484,0.987 +38132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.073191217,0.987 +38135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.53075841,0.987 +38133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.853695546,0.987 +38134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.004742951,0.987 +38136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.904843817,0.987 +38137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.121493728,0.987 +38138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,8.155225285,0.987 +38139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,10.74316656,0.987 +38142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.229278871,0.987 +38141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.840823622,0.987 +38143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,-0.60806023,0.987 +38140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.635396146,0.987 +38144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.957311382,0.987 +38145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.145240095,0.987 +38146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.957515394,0.987 +38148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.233762667,0.987 +38147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,10.61193473,0.987 +38149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.270940433,0.987 +38150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.584836585,0.987 +38151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.056797833,0.987 +38153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.136193565,0.987 +38152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.335413552,0.987 +38154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.425415916,0.987 +38155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,7.683150785,0.987 +38156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.264149004,0.987 +38158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.179542729,0.987 +38159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.098167733,0.987 +38160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.711910606,0.987 +38161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.404808527,0.987 +38157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.380839991,0.987 +38162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.053945435,0.987 +38164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.139932395,0.987 +38163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.452559699,0.987 +38165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.344424617,0.987 +38166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,7.027456791,0.987 +38167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.791157257,0.987 +38168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.34655558,0.987 +38169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,14.46393998,0.987 +38170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.827294155,0.987 +38171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.531856852,0.987 +38172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.330821495,0.987 +38174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.870886575,0.987 +38173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.324487667,0.987 +38175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.878719267,0.987 +38176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,12.85441542,0.987 +38177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.874403309,0.987 +38178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.51132485,0.987 +38179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.087237496,0.987 +38180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.938796987,0.987 +38181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.186117316,0.987 +38182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.392376663,0.987 +38183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.759510729,0.987 +38184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.778079887,0.987 +38185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.045238569,0.987 +38186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.489959008,0.987 +38187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.124182347,0.987 +38188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.246254887,0.987 +38189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.082821224,0.987 +38190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.919530828,0.987 +38191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.128289107,0.987 +38192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.21974699,0.987 +38193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.697986213,0.987 +38195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.661669079,0.987 +38194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,-0.237193618,0.987 +38197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.939164066,0.987 +38196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.358510206,0.987 +38198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,-0.037034113,0.987 +38200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.390324626,0.987 +38199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.159452648,0.987 +38201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.274928783,0.987 +38202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.285547422,0.987 +38203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.250015848,0.987 +38204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.926618066,0.987 +38205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.465065986,0.987 +38206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.180640933,0.987 +38207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.71025687,0.987 +38209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.249276567,0.987 +38211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.320714544,0.987 +38208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.089510529,0.987 +38212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.691091998,0.987 +38210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.887310053,0.987 +38213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.014370865,0.987 +38214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.557192974,0.987 +38215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.430858256,0.987 +38216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.204669427,0.987 +38217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.185652445,0.987 +38219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.991432778,0.987 +38218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.764057145,0.987 +38220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.186110582,0.987 +38221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.490177629,0.987 +38222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.586526862,0.987 +38224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.879392877,0.987 +38223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.916898885,0.987 +38225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.038331684,0.987 +38227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.265374112,0.987 +38226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.273395856,0.987 +38228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.681420252,0.987 +38229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.167547589,0.987 +38230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.761271585,0.987 +38231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.339095452,0.987 +38232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.80108185,0.987 +38233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.587636096,0.987 +38235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.675912681,0.987 +38236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,8.102992893,0.987 +38237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.396582707,0.987 +38234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.925015923,0.987 +38238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.42702204,0.987 +38239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.809078554,0.987 +38240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.196425852,0.987 +38241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.110058012,0.987 +38242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.008497846,0.987 +38243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.874383716,0.987 +38244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.050547558,0.987 +38245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.411914311,0.987 +38246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.157547367,0.987 +38247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.190061452,0.987 +38248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.173937334,0.987 +38250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.250690309,0.987 +38249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.335528473,0.987 +38251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,7.073392203,0.987 +38252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.689319908,0.987 +38255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.698565938,0.987 +38253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.716884688,0.987 +38254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.102590075,0.987 +38256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.47242833,0.987 +38257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.734333182,0.987 +38258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.935828796,0.987 +38259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.545595244,0.987 +38261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.975626431,0.987 +38262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.000124361,0.987 +38264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.850804711,0.987 +38260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.061898009,0.987 +38263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,8.521596457,0.987 +38265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.485340402,0.987 +38266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.648879858,0.987 +38267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.919043548,0.987 +38269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,9.178855538,0.987 +38268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.185422042,0.987 +38271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.846904796,0.987 +38270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.387607687,0.987 +38272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.336720372,0.987 +38274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.385127559,0.987 +38273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.349077088,0.987 +38275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.850458623,0.987 +38276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.550559655,0.987 +38279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.661248026,0.987 +38278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.599080662,0.987 +38280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.868143366,0.987 +38277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.435571422,0.987 +38281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.81292161,0.987 +38283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.744194631,0.987 +38284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.231349794,0.987 +38282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.033899077,0.987 +38285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.322217897,0.987 +38286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,7.423261166,0.987 +38287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.239663345,0.987 +38288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.198578523,0.987 +38291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.114391289,0.987 +38290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.731154605,0.987 +38289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.973419892,0.987 +38292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.675305154,0.987 +38295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.307342414,0.987 +38294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.899323777,0.987 +38293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.175665418,0.987 +38298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.852531452,0.987 +38297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,8.207376855,0.987 +38296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.633786922,0.987 +38299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,8.632831728,0.987 +38300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.126530542,0.987 +38301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.603270722,0.987 +38302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.94315848,0.987 +38303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,8.752913795,0.987 +38306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.204013133,0.987 +38304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,7.522227317,0.987 +38305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.424740358,0.987 +38307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.77418493,0.987 +38309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.561639116,0.987 +38310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.558490783,0.987 +38311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.588686546,0.987 +38312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.606620739,0.987 +38313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.734323213,0.987 +38308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.466525252,0.987 +38315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.175790527,0.987 +38316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.100007351,0.987 +38317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.885051003,0.987 +38314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.494975901,0.987 +38320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.852917521,0.987 +38319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.367192401,0.987 +38318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.782450433,0.987 +38321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.753114187,0.987 +38322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.710876818,0.987 +38323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.383444164,0.987 +38324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.59520674,0.987 +38325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.922949677,0.987 +38327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.250755498,0.987 +38328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.360603329,0.987 +38326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.402760001,0.987 +38329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.282169666,0.987 +38330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.559089543,0.987 +38331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.677885558,0.987 +38332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.919130917,0.987 +38334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.176582158,0.987 +38336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.750496334,0.987 +38335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.732841891,0.987 +38333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.759658755,0.987 +38337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.959158649,0.987 +38338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.372423433,0.987 +38339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.676679074,0.987 +38340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.104239687,0.987 +38341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.691102447,0.987 +38342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,-0.281035609,0.987 +38343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.909049571,0.987 +38344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.552272117,0.987 +38345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.784334709,0.987 +38347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.361489089,0.987 +38349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.635756978,0.987 +38346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,-0.109100391,0.987 +38348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.541850043,0.987 +38350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.88715636,0.987 +38351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.876428676,0.987 +38352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.138700518,0.987 +38353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.60128098,0.987 +38354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.398696017,0.987 +38355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,7.96160375,0.987 +38356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.971634084,0.987 +38357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.154971906,0.987 +38358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.826497479,0.987 +38359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.700158512,0.987 +38360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.342369008,0.987 +38362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.587063619,0.987 +38363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.412803316,0.987 +38365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.503393883,0.987 +38364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.572907282,0.987 +38366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.019960393,0.987 +38367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.165565073,0.987 +38368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.446024912,0.987 +38369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.724376387,0.987 +38370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.593814915,0.987 +38371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.061916311,0.987 +38361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.482000171,0.987 +38372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.565721416,0.987 +38373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.786839111,0.987 +38374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.639226187,0.987 +38376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.08810299,0.987 +38377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.541587152,0.987 +38375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.63183911,0.987 +38378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.828028605,0.987 +38379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.718500414,0.987 +38381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,9.714866068,0.987 +38380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.199592864,0.987 +38383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.378577805,0.987 +38382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.308073509,0.987 +38384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.131348191,0.987 +38385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.030141819,0.987 +38387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.340178549,0.987 +38386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.530678574,0.987 +38389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.077782522,0.987 +38391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.731562635,0.987 +38390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.553153067,0.987 +38392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.810206814,0.987 +38388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.405414064,0.987 +38393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.110165385,0.987 +38394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.506138275,0.987 +38395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.653439455,0.987 +38396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.902242399,0.987 +38397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.945122272,0.987 +38398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.045215583,0.987 +38399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,7.078148115,0.987 +38400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.619927679,0.987 +38401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,10.08785359,0.987 +38402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.046578716,0.987 +38403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.152864893,0.987 +38404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.097475022,0.987 +38405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.518468244,0.987 +38406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.504892466,0.987 +38407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.426982549,0.987 +38409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.126367279,0.987 +38411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.934066717,0.987 +38408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.659443927,0.987 +38410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.324906088,0.987 +38412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.471349607,0.987 +38414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,9.059046583,0.987 +38415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,7.860621521,0.987 +38416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.034282023,0.987 +38413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.144008006,0.987 +38418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.508676586,0.987 +38417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,8.399610497,0.987 +38419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.134361467,0.987 +38421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.519682943,0.987 +38423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.603067387,0.987 +38422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.358787221,0.987 +38420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,9.382520078,0.987 +38425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.326147966,0.987 +38427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.040019926,0.987 +38424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.204492797,0.987 +38426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.84774126,0.987 +38428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.944117226,0.987 +38429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.350311912,0.987 +38430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,9.154029796,0.987 +38432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.863115218,0.987 +38431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.668371635,0.987 +38434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.898448532,0.987 +38435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.291603777,0.987 +38437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.235593903,0.987 +38436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.42584097,0.987 +38438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.088773323,0.987 +38433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.624006766,0.987 +38439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.778556041,0.987 +38440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.631524194,0.987 +38442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.869043038,0.987 +38443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.044226683,0.987 +38441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.930496913,0.987 +38445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.302707557,0.987 +38444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.863333113,0.987 +38446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.582213758,0.987 +38447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.453595538,0.987 +38448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.946828015,0.987 +38449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.973096461,0.987 +38450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.046588385,0.987 +38451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.613349413,0.987 +38454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.258471905,0.987 +38453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.66828181,0.987 +38455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.7633872,0.987 +38452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.343458358,0.987 +38457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.482593983,0.987 +38456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.789256669,0.987 +38458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.216181289,0.987 +38459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.879678207,0.987 +38460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.326379582,0.987 +38461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.255253933,0.987 +38462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.430748838,0.987 +38463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.372644674,0.987 +38465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.642718409,0.987 +38466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.381585054,0.987 +38464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.923772317,0.987 +38467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.871042151,0.987 +38468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.006416488,0.987 +38469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.644184061,0.987 +38470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.052172056,0.987 +38472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.531640054,0.987 +38471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.502942166,0.987 +38473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.207222899,0.987 +38475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.86191722,0.987 +38476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,8.806207896,0.987 +38477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.785349951,0.987 +38474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.399752699,0.987 +38478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.521600698,0.987 +38479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.5720747,0.987 +38480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.791156392,0.987 +38482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.824626253,0.987 +38483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.496237933,0.987 +38484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.020450781,0.987 +38481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.782031686,0.987 +38486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.669982992,0.987 +38485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.542228511,0.987 +38487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.230730381,0.987 +38488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.935311833,0.987 +38489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.546944279,0.987 +38490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,9.283102477,0.987 +38491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.847921121,0.987 +38492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.903144641,0.987 +38494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.936062804,0.987 +38493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.495562751,0.987 +38495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.31071802,0.987 +38497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.852224123,0.987 +38498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,8.943641609,0.987 +38499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.889326398,0.987 +38496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.606652719,0.987 +38500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.01045744,0.987 +38501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.719489727,0.987 +38502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.068876455,0.987 +38503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.533410799,0.987 +38505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.790288788,0.987 +38504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.430396659,0.987 +38506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.809748469,0.987 +38507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.242384054,0.987 +38508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.374717858,0.987 +38509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.631793353,0.987 +38510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.464329163,0.987 +38512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.657237199,0.987 +38511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.23933158,0.987 +38513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.371156467,0.987 +38514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.843749146,0.987 +38515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.809445757,0.987 +38517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.238027125,0.987 +38518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,9.041036743,0.987 +38520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.279311794,0.987 +38516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.959843804,0.987 +38519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.19147263,0.987 +38522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.001765457,0.987 +38521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.701213738,0.987 +38523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.832770962,0.987 +38524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.175959518,0.987 +38525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.878387107,0.987 +38528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.019107605,0.987 +38527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.714481425,0.987 +38526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.521077711,0.987 +38529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.788996138,0.987 +38530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.803009928,0.987 +38531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.97638259,0.987 +38532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.678677663,0.987 +38533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.528974357,0.987 +38536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.650499606,0.987 +38535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.963094896,0.987 +38534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.780250482,0.987 +38537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.44608325,0.987 +38540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.127540463,0.987 +38539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.206288182,0.987 +38541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.235608468,0.987 +38542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.207647617,0.987 +38538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.670963474,0.987 +38543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.712866661,0.987 +38544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.892954074,0.987 +38545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.164044734,0.987 +38547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.254204458,0.987 +38546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.025675544,0.987 +38548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.891569066,0.987 +38549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.066030128,0.987 +38551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.694547204,0.987 +38550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.423792037,0.987 +38552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.488083278,0.987 +38554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.192333852,0.987 +38553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.752208252,0.987 +38555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.370249465,0.987 +38556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.75394553,0.987 +38557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.309325238,0.987 +38558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.983870485,0.987 +38560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,11.74080067,0.987 +38559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.34688638,0.987 +38562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.740697431,0.987 +38563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.770192134,0.987 +38561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,-1.124669495,0.987 +38564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.626930549,0.987 +38566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.661846624,0.987 +38565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.969961126,0.987 +38567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.830355061,0.987 +38569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.758784932,0.987 +38570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.471582643,0.987 +38571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.24498253,0.987 +38568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.071694525,0.987 +38572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.053970201,0.987 +38573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.298421077,0.987 +38574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.573517879,0.987 +38576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.111985895,0.987 +38577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.503075568,0.987 +38575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.692297309,0.987 +38580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.6233618,0.987 +38578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.76355912,0.987 +38581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.277872953,0.987 +38579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.267366166,0.987 +38582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.505682955,0.987 +38584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.62968933,0.987 +38583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,-0.027170367,0.987 +38586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.430892517,0.987 +38585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.430485887,0.987 +38587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.622307576,0.987 +38588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.873373677,0.987 +38589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.266743683,0.987 +38591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.510881506,0.987 +38590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.105946386,0.987 +38592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,7.141719843,0.987 +38593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.530469642,0.987 +38595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.922473744,0.987 +38596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.930404983,0.987 +38594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.227196958,0.987 +38597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.752248597,0.987 +38598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.43882917,0.987 +38600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.513997275,0.987 +38601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.220770491,0.987 +38599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.830285528,0.987 +38603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.446291744,0.987 +38604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.525869271,0.987 +38602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.019287953,0.987 +38606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.523590542,0.987 +38605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.059188996,0.987 +38608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.78524184,0.987 +38607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.144292923,0.987 +38610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.129700802,0.987 +38609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.17153217,0.987 +38612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.912051849,0.987 +38611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.458407265,0.987 +38613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.173825557,0.987 +38614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.197062507,0.987 +38615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.528619971,0.987 +38616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.705215308,0.987 +38618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.752730871,0.987 +38619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.569770213,0.987 +38622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.229630091,0.987 +38621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.643969888,0.987 +38617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,9.510043051,0.987 +38620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.22958482,0.987 +38626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,8.446099814,0.987 +38625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.930355856,0.987 +38624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.801448596,0.987 +38623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.952526885,0.987 +38627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.447332609,0.987 +38628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.194523961,0.987 +38630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.995550414,0.987 +38629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.566098778,0.987 +38631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.782667231,0.987 +38633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.608228649,0.987 +38634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,12.03936175,0.987 +38632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.363703573,0.987 +38636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.846051989,0.987 +38637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.347764631,0.987 +38635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.865516305,0.987 +38639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.313355871,0.987 +38640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.314408515,0.987 +38638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,10.87812604,0.987 +38641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.828051677,0.987 +38645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.545771852,0.987 +38642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.683360176,0.987 +38643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,7.161216586,0.987 +38644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.196119984,0.987 +38647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.311351828,0.987 +38648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.249939313,0.987 +38646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.084565865,0.987 +38649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.75834198,0.987 +38650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.624391292,0.987 +38651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.521198977,0.987 +38652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.825256995,0.987 +38654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.135158671,0.987 +38655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.203782506,0.987 +38653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.656707641,0.987 +38656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.290647362,0.987 +38658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.98705305,0.987 +38657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.305526756,0.987 +38659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.234487033,0.987 +38660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.446609695,0.987 +38661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.574200535,0.987 +38662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.017804253,0.987 +38664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.748001009,0.987 +38665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.967381321,0.987 +38663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.847507764,0.987 +38666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.541967898,0.987 +38668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.90488893,0.987 +38669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.031229383,0.987 +38670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,12.99893817,0.987 +38667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.794709646,0.987 +38671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.867189394,0.987 +38672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.367018331,0.987 +38673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.509892226,0.987 +38674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.553947253,0.987 +38675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.288967545,0.987 +38677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.223170874,0.987 +38676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.717909227,0.987 +38678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,8.32282143,0.987 +38679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.588032627,0.987 +38680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.61548232,0.987 +38683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.328999034,0.987 +38681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.388532664,0.987 +38682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.521438202,0.987 +38684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.65931112,0.987 +38686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.471253117,0.987 +38687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.473934625,0.987 +38685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.35911585,0.987 +38688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.344356837,0.987 +38691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.244108539,0.987 +38690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.250785007,0.987 +38692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.34819376,0.987 +38694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.971979485,0.987 +38693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.867552563,0.987 +38695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.76963475,0.987 +38689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.815502258,0.987 +38697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.383755705,0.987 +38696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.852242871,0.987 +38698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.01436018,0.987 +38699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.047407773,0.987 +38701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.855967185,0.987 +38700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.465983189,0.987 +38702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.793813826,0.987 +38703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.564028666,0.987 +38706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.482472009,0.987 +38705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.528879373,0.987 +38704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.78018442,0.987 +38707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.85185901,0.987 +38708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.922077211,0.987 +38709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,-0.07176313,0.987 +38710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.232747758,0.987 +38713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.250959012,0.987 +38712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,9.162461426,0.987 +38714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.856716213,0.987 +38711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.401539827,0.987 +38717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.109310818,0.987 +38716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.979479077,0.987 +38715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.902506876,0.987 +38718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.395749851,0.987 +38719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.392843804,0.987 +38720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.181933722,0.987 +38721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.890966306,0.987 +38723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.979710116,0.987 +38722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,7.342666964,0.987 +38724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,8.495281265,0.987 +38725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.731699208,0.987 +38726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.525462291,0.987 +38727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.049934939,0.987 +38728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.88719617,0.987 +38729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,7.041140938,0.987 +38730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.770219701,0.987 +38733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.660342738,0.987 +38732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,7.161681583,0.987 +38735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,7.082413878,0.987 +38731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.78770857,0.987 +38734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.827851031,0.987 +38736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.033290401,0.987 +38739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.771718147,0.987 +38737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.4111397,0.987 +38738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.844737747,0.987 +38740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.563579143,0.987 +38741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.872733153,0.987 +38742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.177272604,0.987 +38744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.467142241,0.987 +38743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.62946383,0.987 +38745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.129760745,0.987 +38746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.795549172,0.987 +38747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.007859696,0.987 +38749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.555752964,0.987 +38748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.458829231,0.987 +38751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.629211731,0.987 +38752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.725414116,0.987 +38753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.843898428,0.987 +38750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.937395141,0.987 +38754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.405097016,0.987 +38756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.867765641,0.987 +38755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.773299268,0.987 +38758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.245810457,0.987 +38759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.019951879,0.987 +38760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.962979577,0.987 +38761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,7.806656137,0.987 +38762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,8.294685702,0.987 +38757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.400207357,0.987 +38763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.772698431,0.987 +38764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.510135988,0.987 +38765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.639795424,0.987 +38766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,8.354722287,0.987 +38767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.777964347,0.987 +38768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,10.21194774,0.987 +38769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.062536788,0.987 +38770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,7.00750029,0.987 +38771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.482213624,0.987 +38772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,9.172472575,0.987 +38773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.410358711,0.987 +38775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.900071611,0.987 +38776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.04169009,0.987 +38777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.738503084,0.987 +38779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.258571801,0.987 +38774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.928382873,0.987 +38778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.362050336,0.987 +38780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.256496621,0.987 +38781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.7151431,0.987 +38782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.799860072,0.987 +38784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.259821163,0.987 +38783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.697066739,0.987 +38785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.699766634,0.987 +38786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.869618238,0.987 +38787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.481504612,0.987 +38788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.705949815,0.987 +38789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.501774863,0.987 +38791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,7.461232051,0.987 +38792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.925657456,0.987 +38793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.842055034,0.987 +38790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.662707304,0.987 +38796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.196405738,0.987 +38794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.706393222,0.987 +38797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.871757736,0.987 +38798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.559142944,0.987 +38799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,10.00675054,0.987 +38795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.451618634,0.987 +38800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.663884668,0.987 +38801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,9.83980797,0.987 +38802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.614229952,0.987 +38803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.248390672,0.987 +38805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.897954324,0.987 +38804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.454944147,0.987 +38806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.312924646,0.987 +38809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.726300239,0.987 +38807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.424738277,0.987 +38808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.12809152,0.987 +38810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.966713622,0.987 +38811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.068342359,0.987 +38812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.692404351,0.987 +38813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.66508065,0.987 +38815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.688595801,0.987 +38814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.65510851,0.987 +38816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.550163249,0.987 +38817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.86622318,0.987 +38818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,7.265377164,0.987 +38819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.413114081,0.987 +38822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,7.806873881,0.987 +38823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,7.355400432,0.987 +38820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.734984943,0.987 +38821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.006308946,0.987 +38826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.050779789,0.987 +38825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.016817595,0.987 +38827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.519995343,0.987 +38824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.376808278,0.987 +38828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.805680019,0.987 +38829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,8.328046758,0.987 +38830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.610603996,0.987 +38831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.214260599,0.987 +38833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.570169961,0.987 +38832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.040851582,0.987 +38834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.626367789,0.987 +38835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,8.095784163,0.987 +38837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.045020468,0.987 +38838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.578376887,0.987 +38836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.451998515,0.987 +38840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.772211167,0.987 +38839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.545113003,0.987 +38841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.371521684,0.987 +38842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.222373268,0.987 +38843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.866772807,0.987 +38844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.327496438,0.987 +38845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.900566222,0.987 +38847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.034034786,0.987 +38846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,11.05696703,0.987 +38848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.580523794,0.987 +38849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.951741617,0.987 +38850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.400265846,0.987 +38851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.084033015,0.987 +38852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.689452654,0.987 +38853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.199038567,0.987 +38855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,-0.011615354,0.987 +38854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.048587811,0.987 +38857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.092190441,0.987 +38858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.250837012,0.987 +38859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.074035771,0.987 +38860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.112823003,0.987 +38856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.36092649,0.987 +38861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.046279401,0.987 +38862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.649508851,0.987 +38863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.638128936,0.987 +38864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.040724504,0.987 +38866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.547607383,0.987 +38865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.082293324,0.987 +38867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.260640474,0.987 +38868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.687829698,0.987 +38870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.683479973,0.987 +38871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.616893972,0.987 +38869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.011141299,0.987 +38872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.788407445,0.987 +38873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,8.550777774,0.987 +38875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.089718199,0.987 +38874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.096231272,0.987 +38877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,9.082846254,0.987 +38878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,-0.355038142,0.987 +38879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,9.772499594,0.987 +38880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.11958085,0.987 +38882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.694369696,0.987 +38881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.106450942,0.987 +38876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.85977724,0.987 +38883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.194550008,0.987 +38885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.562410841,0.987 +38886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.838103158,0.987 +38884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.696845316,0.987 +38887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.275097128,0.987 +38890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.832813777,0.987 +38888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.059613498,0.987 +38889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.979277264,0.987 +38891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.332109606,0.987 +38893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.004741719,0.987 +38892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.864503074,0.987 +38895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.178879649,0.987 +38896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.50189914,0.987 +38897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,7.346696343,0.987 +38894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.152331053,0.987 +38898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.728676496,0.987 +38899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.083122186,0.987 +38900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.995137404,0.987 +38901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,9.378907927,0.987 +38902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.259950393,0.987 +38904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.432186121,0.987 +38903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.874991471,0.987 +38906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.619185863,0.987 +38905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.003263402,0.987 +38907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.716791748,0.987 +38908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.385439953,0.987 +38909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.531382631,0.987 +38910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.506156904,0.987 +38912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,7.545555288,0.987 +38911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,-1.108340809,0.987 +38913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.25334083,0.987 +38915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,7.868670425,0.987 +38916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.107849587,0.987 +38914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,7.466563637,0.987 +38917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.118244538,0.987 +38919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.899663021,0.987 +38918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.811069805,0.987 +38920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,7.113391057,0.987 +38922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.803756955,0.987 +38921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.972948845,0.987 +38923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.742545106,0.987 +38924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.357036689,0.987 +38925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,10.59483505,0.987 +38927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.127948079,0.987 +38926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.728938199,0.987 +38928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.438110724,0.987 +38930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.485390053,0.987 +38931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.931742809,0.987 +38929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,7.655507314,0.987 +38932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.257379404,0.987 +38935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.760111303,0.987 +38933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.037115666,0.987 +38934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.723783891,0.987 +38936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.12449059,0.987 +38937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.567755901,0.987 +38938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.540944152,0.987 +38939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.163202278,0.987 +38941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.306738866,0.987 +38940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.898261516,0.987 +38943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.750804756,0.987 +38942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.924151963,0.987 +38945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.847972899,0.987 +38944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.154925713,0.987 +38946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.916386147,0.987 +38947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.299126821,0.987 +38949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.849349998,0.987 +38948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.356232739,0.987 +38952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.938295182,0.987 +38951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,7.316355829,0.987 +38950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.065281387,0.987 +38953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.506615965,0.987 +38955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.355330721,0.987 +38954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.339989101,0.987 +38957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,12.14549659,0.987 +38956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,8.675699256,0.987 +38958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.959004627,0.987 +38959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.506667517,0.987 +38960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.883752118,0.987 +38961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.924203035,0.987 +38962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,9.389977434,0.987 +38965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.811278047,0.987 +38963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.260218411,0.987 +38966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.551423699,0.987 +38964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.539117188,0.987 +38968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.493966549,0.987 +38970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.522796328,0.987 +38969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,0.47662214,0.987 +38971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.364989709,0.987 +38967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.652064378,0.987 +38973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.462979208,0.987 +38972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.35160865,0.987 +38974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,-0.08923079,0.987 +38975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.333603781,0.987 +38976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,10.98327971,0.987 +38977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,9.475071317,0.987 +38978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.078550882,0.987 +38980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.981623229,0.987 +38979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.757355506,0.987 +38981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.516246553,0.987 +38982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.813497935,0.987 +38984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.312474422,0.987 +38986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.007593299,0.987 +38985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.307740393,0.987 +38987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.126604937,0.987 +38983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,11.86544169,0.987 +38988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,5.401309701,0.987 +38989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.877022886,0.987 +38991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,6.815294831,0.987 +38990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,7.379685046,0.987 +38992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.152458544,0.987 +38993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,4.275032127,0.987 +38994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.148637268,0.987 +38996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.844586453,0.987 +38995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.271031548,0.987 +38997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,2.154785519,0.987 +38998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,1.081902122,0.987 +38999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,11.61995212,0.987 +39000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,9,1,3.383051802,0.987 +48001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.662560387,0.999 +48002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.685205943,0.999 +48003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.904782908,0.999 +48004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.319835376,0.999 +48006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.189030812,0.999 +48005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.794762104,0.999 +48007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.268619392,0.999 +48008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.383638675,0.999 +48009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,8.762029554,0.999 +48010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.045170816,0.999 +48012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.834446999,0.999 +48013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.490789463,0.999 +48014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.424572386,0.999 +48011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.208494616,0.999 +48016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.599200935,0.999 +48015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.998447761,0.999 +48017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.650618793,0.999 +48018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.594549811,0.999 +48019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.929136595,0.999 +48020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.841345093,0.999 +48022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.743405108,0.999 +48024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.224341748,0.999 +48023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.481382622,0.999 +48021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.672546799,0.999 +48025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.361352952,0.999 +48026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.433827739,0.999 +48027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,8.697575135,0.999 +48028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.29008867,0.999 +48030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.805376135,0.999 +48031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.137900115,0.999 +48032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.034867495,0.999 +48033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.813219017,0.999 +48034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,8.800267449,0.999 +48035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.088145997,0.999 +48029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.735521252,0.999 +48036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,7.079856261,0.999 +48037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.63951497,0.999 +48038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.167766243,0.999 +48040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.89310402,0.999 +48039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.494365176,0.999 +48042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.286853157,0.999 +48041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.85261673,0.999 +48043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.1688386,0.999 +48044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,0.658456883,0.999 +48045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.398852107,0.999 +48046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.539974623,0.999 +48047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.657471241,0.999 +48049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,0.904794684,0.999 +48050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.200259122,0.999 +48051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.178760235,0.999 +48048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.127330989,0.999 +48052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.202829145,0.999 +48053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.243000542,0.999 +48055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.767246234,0.999 +48057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.358460032,0.999 +48054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.733735788,0.999 +48056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.841930445,0.999 +48058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.737887061,0.999 +48059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.939587903,0.999 +48060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.745799537,0.999 +48061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.563579094,0.999 +48063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.424577202,0.999 +48062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.047981208,0.999 +48064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.071439307,0.999 +48065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.747032137,0.999 +48066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.849501304,0.999 +48068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.617587724,0.999 +48069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,7.088658535,0.999 +48067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.988874223,0.999 +48071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.534040877,0.999 +48072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.65136584,0.999 +48070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.755833278,0.999 +48073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.454532772,0.999 +48074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.105004897,0.999 +48075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.476171439,0.999 +48076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,9.558400115,0.999 +48078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.627151302,0.999 +48077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.531379565,0.999 +48079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.142945959,0.999 +48080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.717302506,0.999 +48081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.091798551,0.999 +48083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.394751623,0.999 +48084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.320738964,0.999 +48082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.336053193,0.999 +48085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.449936772,0.999 +48086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.230803697,0.999 +48087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.556893539,0.999 +48088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.661784076,0.999 +48090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.479814605,0.999 +48089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.185921055,0.999 +48091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.78709123,0.999 +48092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.012680258,0.999 +48094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.943060987,0.999 +48093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.926027097,0.999 +48095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.605033659,0.999 +48096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.577311674,0.999 +48097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.212640582,0.999 +48098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.599745125,0.999 +48099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.93611465,0.999 +48101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.159342378,0.999 +48103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,0.615731243,0.999 +48100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.553039822,0.999 +48105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.207979135,0.999 +48104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.28754163,0.999 +48102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.441531531,0.999 +48106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.589410892,0.999 +48107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.153798849,0.999 +48108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.919589293,0.999 +48109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.768269083,0.999 +48111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.551550639,0.999 +48112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.769850623,0.999 +48113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.682655732,0.999 +48110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,0.851923238,0.999 +48116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.38335669,0.999 +48114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.284456938,0.999 +48115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.879260174,0.999 +48117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.17125265,0.999 +48119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.487514861,0.999 +48120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.459228723,0.999 +48118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.430832063,0.999 +48122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.352853947,0.999 +48123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.030853059,0.999 +48124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,7.062876176,0.999 +48121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.602565147,0.999 +48125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.270740008,0.999 +48126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.557573607,0.999 +48127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.351812997,0.999 +48129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.401907031,0.999 +48131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.928176828,0.999 +48128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.602292253,0.999 +48130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.36507201,0.999 +48132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.865241288,0.999 +48133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.884943912,0.999 +48134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.615416552,0.999 +48135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.256508786,0.999 +48136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,0.837056889,0.999 +48138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.46771404,0.999 +48139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.062550034,0.999 +48140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.649293915,0.999 +48143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.590791145,0.999 +48137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.805352938,0.999 +48142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,0.845723497,0.999 +48141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.933368682,0.999 +48145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.466732846,0.999 +48144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.814947515,0.999 +48146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.012709511,0.999 +48148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.870426421,0.999 +48147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.889425213,0.999 +48149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.309997434,0.999 +48151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,0.767650369,0.999 +48150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.591667069,0.999 +48152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.986603917,0.999 +48153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.144461133,0.999 +48155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.406147163,0.999 +48157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.730525239,0.999 +48156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.238122294,0.999 +48158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.3775093,0.999 +48154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.860785707,0.999 +48159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.679269894,0.999 +48162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.698528553,0.999 +48160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.921233553,0.999 +48163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.591259119,0.999 +48161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.762789286,0.999 +48164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,10.68903665,0.999 +48165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.907194868,0.999 +48166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.984796846,0.999 +48167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.824242766,0.999 +48168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.973789908,0.999 +48169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.818138305,0.999 +48170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.199166451,0.999 +48172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.50622528,0.999 +48171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.641960644,0.999 +48173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.732531643,0.999 +48174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.72339291,0.999 +48176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.333318546,0.999 +48175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,7.785993112,0.999 +48178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.114999327,0.999 +48179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.104560378,0.999 +48177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.322868067,0.999 +48180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.328845576,0.999 +48181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.934385092,0.999 +48182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.649758304,0.999 +48183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.830368963,0.999 +48184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.591728257,0.999 +48185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.657342997,0.999 +48186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.726933737,0.999 +48187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.414782613,0.999 +48188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.087971082,0.999 +48189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.694477204,0.999 +48190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.29829439,0.999 +48191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,7.314498675,0.999 +48193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.214089874,0.999 +48192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.992078717,0.999 +48194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.580713686,0.999 +48195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,0.89252126,0.999 +48196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.220265117,0.999 +48198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.376183543,0.999 +48197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.904524516,0.999 +48199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.481812305,0.999 +48200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,7.679497189,0.999 +48202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.628240127,0.999 +48201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.268159462,0.999 +48203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.676805283,0.999 +48204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.536093468,0.999 +48205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.046631074,0.999 +48206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,0.817644314,0.999 +48208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.106337074,0.999 +48207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.410413278,0.999 +48210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.380847265,0.999 +48209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.182878447,0.999 +48211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.864732719,0.999 +48212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,7.260709031,0.999 +48213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.440801015,0.999 +48215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.80342214,0.999 +48214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.461406795,0.999 +48216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.001640033,0.999 +48217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.505620211,0.999 +48218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.747599115,0.999 +48220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.351307149,0.999 +48221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.840131991,0.999 +48219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.376648085,0.999 +48222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.972506265,0.999 +48225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,8.359486658,0.999 +48223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.37003813,0.999 +48224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.793725529,0.999 +48226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,11.69235358,0.999 +48228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.063511708,0.999 +48230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.408350337,0.999 +48229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.803933129,0.999 +48227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.506530006,0.999 +48231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.575791138,0.999 +48233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.80961825,0.999 +48232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.779889921,0.999 +48234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.174246815,0.999 +48236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.962350033,0.999 +48235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.018658841,0.999 +48238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.954697522,0.999 +48237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.873782665,0.999 +48239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.510390815,0.999 +48240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.195459359,0.999 +48241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.264472093,0.999 +48242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,9.740256648,0.999 +48244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.271573705,0.999 +48246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.298983156,0.999 +48247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,0.648912244,0.999 +48243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.814155978,0.999 +48245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.142947376,0.999 +48248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.944369611,0.999 +48249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,7.484604465,0.999 +48250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.982536927,0.999 +48252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.434374105,0.999 +48251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.692466146,0.999 +48254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.495938082,0.999 +48253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.265231935,0.999 +48255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.137928516,0.999 +48257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.005591148,0.999 +48256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.748113541,0.999 +48258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.442359071,0.999 +48259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.154496016,0.999 +48261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.162383471,0.999 +48262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.038865468,0.999 +48263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.878297073,0.999 +48264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.817827682,0.999 +48260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,7.551710705,0.999 +48267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.115482244,0.999 +48266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.382388975,0.999 +48268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.971655588,0.999 +48265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.350900976,0.999 +48271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.191024686,0.999 +48269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.017529124,0.999 +48270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.254170737,0.999 +48272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.256610602,0.999 +48273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.493224766,0.999 +48274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.044494268,0.999 +48275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,0.743280151,0.999 +48276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.782570779,0.999 +48278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.837507335,0.999 +48279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,9.379016809,0.999 +48280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.218958736,0.999 +48281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.376391786,0.999 +48277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.630955437,0.999 +48282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.796399294,0.999 +48283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.031698948,0.999 +48285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.581827939,0.999 +48284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.734952049,0.999 +48287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.392316808,0.999 +48288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.969856497,0.999 +48286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.206805,0.999 +48289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.177777187,0.999 +48290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.207954814,0.999 +48291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.754763928,0.999 +48293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.480302682,0.999 +48294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.994760409,0.999 +48296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.602998163,0.999 +48292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.37446144,0.999 +48297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.388413368,0.999 +48295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.06235822,0.999 +48299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,8.336320189,0.999 +48298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,9.10427473,0.999 +48301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.987858926,0.999 +48300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.041785996,0.999 +48302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.536014045,0.999 +48303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.074913197,0.999 +48304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.500543727,0.999 +48305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.214817342,0.999 +48307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.441801113,0.999 +48308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.134632389,0.999 +48309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.302514675,0.999 +48310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.333083232,0.999 +48306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,0.454723199,0.999 +48311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.550429973,0.999 +48312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.482642509,0.999 +48314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.73809237,0.999 +48313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.546931715,0.999 +48315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.057922581,0.999 +48316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.422735614,0.999 +48317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.35686961,0.999 +48319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.006222696,0.999 +48318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.241535367,0.999 +48320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.479602161,0.999 +48321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,7.222763064,0.999 +48322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.050874186,0.999 +48323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.740931837,0.999 +48324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.339824397,0.999 +48327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.690620749,0.999 +48326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.25494474,0.999 +48328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,0.867840198,0.999 +48329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.014367228,0.999 +48325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,7.985085794,0.999 +48330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.434227748,0.999 +48331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.562838438,0.999 +48332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.349449552,0.999 +48333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.708187759,0.999 +48334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.03727108,0.999 +48335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.894386306,0.999 +48336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.049570775,0.999 +48337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.23634709,0.999 +48338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.353653133,0.999 +48339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.615450201,0.999 +48340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.340133657,0.999 +48341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.550313123,0.999 +48343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.777571182,0.999 +48344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.09042286,0.999 +48342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.912096769,0.999 +48347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.48826097,0.999 +48345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.753190037,0.999 +48346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.427487247,0.999 +48348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.416571617,0.999 +48352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.833012061,0.999 +48349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,10.1806082,0.999 +48351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.977187943,0.999 +48350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.373772379,0.999 +48353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.018808641,0.999 +48354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.839766937,0.999 +48356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.005536176,0.999 +48355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.286457621,0.999 +48357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.458534342,0.999 +48358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.741845137,0.999 +48360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.688907397,0.999 +48359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.094648853,0.999 +48361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.19523815,0.999 +48363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.582598887,0.999 +48362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.908958404,0.999 +48365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.617138227,0.999 +48364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.604494032,0.999 +48366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.484477577,0.999 +48367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.688243719,0.999 +48368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.843035709,0.999 +48369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.776343907,0.999 +48370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,7.025965346,0.999 +48371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,11.0559137,0.999 +48372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.796813959,0.999 +48374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.844125803,0.999 +48373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.837079036,0.999 +48375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.288723258,0.999 +48376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.783275505,0.999 +48379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.174346393,0.999 +48380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.884120498,0.999 +48377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.947176684,0.999 +48378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.523616294,0.999 +48381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.355414484,0.999 +48382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.495839398,0.999 +48383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.465578693,0.999 +48385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.842905852,0.999 +48386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,8.134848134,0.999 +48387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.069544421,0.999 +48390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,0.702637823,0.999 +48384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,8.067198608,0.999 +48388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.109590538,0.999 +48389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.064935586,0.999 +48391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.468920321,0.999 +48392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.625422958,0.999 +48393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.1542995,0.999 +48394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.4651366,0.999 +48395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.220880939,0.999 +48397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.641166711,0.999 +48398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.875953627,0.999 +48399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.215156676,0.999 +48396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.609801343,0.999 +48401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.42559362,0.999 +48400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.004182729,0.999 +48402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.242132562,0.999 +48404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.310002592,0.999 +48405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.221232572,0.999 +48406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,7.13224967,0.999 +48403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.767959442,0.999 +48408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.268133958,0.999 +48407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.383132226,0.999 +48410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.591299371,0.999 +48409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,0.662434679,0.999 +48411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.5942921,0.999 +48412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.371477912,0.999 +48414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.917353652,0.999 +48413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.78755377,0.999 +48415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.618679642,0.999 +48416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.281455402,0.999 +48417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.712014659,0.999 +48419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.737281089,0.999 +48420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,7.836895596,0.999 +48421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.367322068,0.999 +48418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.880090814,0.999 +48422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.930531889,0.999 +48423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.70973065,0.999 +48424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.915911101,0.999 +48425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.344964801,0.999 +48427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.96248914,0.999 +48426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.818178537,0.999 +48428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.449910076,0.999 +48429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.082883286,0.999 +48430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.347566109,0.999 +48431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,7.862931631,0.999 +48432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.505314927,0.999 +48435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.382904823,0.999 +48434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,8.488904782,0.999 +48433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,8.444074787,0.999 +48436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.94981049,0.999 +48437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.112698358,0.999 +48438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,0.44714888,0.999 +48440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.180924375,0.999 +48439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.435821351,0.999 +48441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.11938782,0.999 +48443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.769022808,0.999 +48442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.894106106,0.999 +48445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.624694821,0.999 +48444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.787621225,0.999 +48446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.809103168,0.999 +48448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.581702885,0.999 +48449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.959692135,0.999 +48450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.070009868,0.999 +48447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.307264144,0.999 +48451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.15438122,0.999 +48452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.680532604,0.999 +48454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.206975302,0.999 +48453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.134232699,0.999 +48455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.538901959,0.999 +48458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.041084255,0.999 +48459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.058700386,0.999 +48456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.090734849,0.999 +48460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.194355787,0.999 +48461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.498326244,0.999 +48457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.805085443,0.999 +48463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.08691751,0.999 +48464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.658429642,0.999 +48465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.719670316,0.999 +48462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.79503675,0.999 +48468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.73298058,0.999 +48466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.371538864,0.999 +48469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.925008162,0.999 +48467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.549525054,0.999 +48470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.411525459,0.999 +48471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.296517667,0.999 +48473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.539466683,0.999 +48474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.859202766,0.999 +48475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.184997698,0.999 +48472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.1195006,0.999 +48476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.209980832,0.999 +48478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.955615055,0.999 +48480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.666472912,0.999 +48479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.99627647,0.999 +48481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.068507091,0.999 +48477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.787703087,0.999 +48482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.845658471,0.999 +48483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.053192867,0.999 +48485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.001132525,0.999 +48484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.169523793,0.999 +48486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.392850107,0.999 +48487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.311461744,0.999 +48488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.564901284,0.999 +48489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.215862388,0.999 +48490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.542016239,0.999 +48492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.143724424,0.999 +48493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.916936464,0.999 +48494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.342002341,0.999 +48491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.631738946,0.999 +48496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,7.329989202,0.999 +48497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.23561195,0.999 +48495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.53773488,0.999 +48498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.620530673,0.999 +48499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,8.115011022,0.999 +48500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.74861532,0.999 +48501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,0.895324489,0.999 +48502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.76616631,0.999 +48503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,0.870943492,0.999 +48504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.806790804,0.999 +48505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.068363477,0.999 +48506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.370073899,0.999 +48507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.097557937,0.999 +48508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,7.286005641,0.999 +48509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,9.055020855,0.999 +48512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.748534927,0.999 +48511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.48380065,0.999 +48510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.474457281,0.999 +48515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.726828856,0.999 +48513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.320015458,0.999 +48514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.715626984,0.999 +48516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.604401989,0.999 +48517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.047247373,0.999 +48518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.093230245,0.999 +48519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.228282455,0.999 +48520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.525227758,0.999 +48521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.048890522,0.999 +48522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.228208037,0.999 +48523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.216634763,0.999 +48524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.87546189,0.999 +48525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.429821969,0.999 +48526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.537958105,0.999 +48527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.760746518,0.999 +48528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.02604189,0.999 +48530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.927627887,0.999 +48529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,0.873127007,0.999 +48531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.90819641,0.999 +48534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.625227797,0.999 +48535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.393287106,0.999 +48533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.012005645,0.999 +48532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.918537572,0.999 +48537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.7290125,0.999 +48538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.881383237,0.999 +48536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,0.924387354,0.999 +48539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.946000953,0.999 +48540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,0.467544603,0.999 +48541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.018655575,0.999 +48542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.668344443,0.999 +48543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.984658071,0.999 +48546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.013544845,0.999 +48544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.075766057,0.999 +48545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.883431697,0.999 +48549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.031720519,0.999 +48548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.762341639,0.999 +48547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.261910187,0.999 +48550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.455059839,0.999 +48551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.624575143,0.999 +48552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,7.911537679,0.999 +48553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.318682129,0.999 +48554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,8.561563322,0.999 +48555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.473821917,0.999 +48556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.572028183,0.999 +48557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.197700272,0.999 +48558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.752457046,0.999 +48559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.199696263,0.999 +48560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.601764277,0.999 +48563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.220282324,0.999 +48564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.852497608,0.999 +48561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.377172788,0.999 +48562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,7.496832696,0.999 +48565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.155162065,0.999 +48566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.464429928,0.999 +48567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.143198421,0.999 +48569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,8.083303757,0.999 +48570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.324260728,0.999 +48568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.178906785,0.999 +48571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.362234092,0.999 +48572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.374008479,0.999 +48573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.952854686,0.999 +48574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.265288355,0.999 +48575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.584353242,0.999 +48576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.66568853,0.999 +48578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.226135449,0.999 +48577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.53010407,0.999 +48580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.197819859,0.999 +48581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.090725883,0.999 +48582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.394866944,0.999 +48579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.106182148,0.999 +48583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.262693423,0.999 +48585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,0.832217406,0.999 +48586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.965305934,0.999 +48587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.25609674,0.999 +48584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.178034848,0.999 +48589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.619699013,0.999 +48588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.203518866,0.999 +48590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.803015734,0.999 +48591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.380064771,0.999 +48592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.917049755,0.999 +48593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.421526385,0.999 +48594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.514459492,0.999 +48595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.419717289,0.999 +48597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.712446243,0.999 +48598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.507700255,0.999 +48599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.223418554,0.999 +48596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.322871228,0.999 +48600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.736924127,0.999 +48601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,10.65963298,0.999 +48603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.556602264,0.999 +48602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.640143632,0.999 +48604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.326304322,0.999 +48606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.454278442,0.999 +48605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.725462024,0.999 +48607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.19462642,0.999 +48608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.946483042,0.999 +48609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.656561174,0.999 +48611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.85774682,0.999 +48612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.906713458,0.999 +48610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.900992793,0.999 +48613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.761291915,0.999 +48614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.939584114,0.999 +48615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.002751729,0.999 +48617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.345564629,0.999 +48616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.595631831,0.999 +48618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.581864903,0.999 +48620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.569712977,0.999 +48619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.174840426,0.999 +48622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,0.665871199,0.999 +48621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.882050863,0.999 +48623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.60069785,0.999 +48624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.867706941,0.999 +48625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.791795038,0.999 +48626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.92299796,0.999 +48627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.597434974,0.999 +48628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.292577444,0.999 +48629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.01721647,0.999 +48631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.187418244,0.999 +48632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.190659105,0.999 +48634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.757881359,0.999 +48635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.368174541,0.999 +48633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.624936509,0.999 +48630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.751255238,0.999 +48636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.895559639,0.999 +48639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.845087853,0.999 +48638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.474190435,0.999 +48637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,7.248161674,0.999 +48640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.843547942,0.999 +48641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.427577781,0.999 +48642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.27881418,0.999 +48643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.306564462,0.999 +48644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.285203529,0.999 +48647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.364850167,0.999 +48645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.331034194,0.999 +48646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.60399074,0.999 +48648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.98327847,0.999 +48649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.543471767,0.999 +48651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.640629749,0.999 +48652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.28233329,0.999 +48650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.339872414,0.999 +48654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,11.21393885,0.999 +48653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.865336059,0.999 +48655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.473003996,0.999 +48656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.542149249,0.999 +48657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.664394485,0.999 +48658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,0.736492427,0.999 +48659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.938303025,0.999 +48660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.233044825,0.999 +48661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.277621412,0.999 +48663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.434154384,0.999 +48662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.535426847,0.999 +48665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.242986669,0.999 +48664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.773757155,0.999 +48667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.457658971,0.999 +48666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.839911832,0.999 +48668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.155446991,0.999 +48671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.604942304,0.999 +48672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,0.924875515,0.999 +48669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.139597726,0.999 +48673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.964764838,0.999 +48670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.905504207,0.999 +48674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.65463818,0.999 +48675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.453614582,0.999 +48676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.591421053,0.999 +48678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.00975284,0.999 +48677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.779576011,0.999 +48679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.771527509,0.999 +48682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.789259253,0.999 +48680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.223717848,0.999 +48681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.288167518,0.999 +48683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.123982458,0.999 +48684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.588845608,0.999 +48685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.335211028,0.999 +48686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.339924289,0.999 +48687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.862227551,0.999 +48689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.864549659,0.999 +48690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.949675912,0.999 +48688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.269758225,0.999 +48691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.742783207,0.999 +48692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.669083555,0.999 +48693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.322312585,0.999 +48694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.632948712,0.999 +48696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.738126446,0.999 +48695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.541759028,0.999 +48697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.467301078,0.999 +48698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.54448076,0.999 +48699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.478949956,0.999 +48700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.316077595,0.999 +48701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.405203482,0.999 +48702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.178208846,0.999 +48703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.709003899,0.999 +48705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,7.251277348,0.999 +48704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.636600757,0.999 +48707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.817117645,0.999 +48708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.839946915,0.999 +48706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.944348692,0.999 +48709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.165016508,0.999 +48712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.899199029,0.999 +48710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.438884205,0.999 +48711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.323723257,0.999 +48714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.518484191,0.999 +48715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.772740993,0.999 +48716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.103173226,0.999 +48713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.96499283,0.999 +48717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.073768846,0.999 +48718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.694121059,0.999 +48719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.137512035,0.999 +48721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.100752602,0.999 +48722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.878327051,0.999 +48723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.510727855,0.999 +48720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.370172909,0.999 +48725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.710899246,0.999 +48726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.243298233,0.999 +48727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.290992825,0.999 +48724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.062865,0.999 +48728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.465614125,0.999 +48729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.695528572,0.999 +48731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.613920772,0.999 +48730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.290591028,0.999 +48732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,7.153478704,0.999 +48733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.123891279,0.999 +48734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,7.442719601,0.999 +48736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.376414631,0.999 +48737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.121622552,0.999 +48738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.730779685,0.999 +48739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.347605681,0.999 +48735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.584641168,0.999 +48740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,7.023858138,0.999 +48741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.987552447,0.999 +48743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.643382726,0.999 +48744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.948476427,0.999 +48745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.144902734,0.999 +48742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.4732005,0.999 +48746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.593571445,0.999 +48747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.630656717,0.999 +48749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,0.886014993,0.999 +48748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.945071039,0.999 +48751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.943442442,0.999 +48752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.310578788,0.999 +48753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.209791047,0.999 +48750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.304722979,0.999 +48755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.144217503,0.999 +48754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.222041881,0.999 +48756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.329298239,0.999 +48757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,15.17679847,0.999 +48759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.457081535,0.999 +48758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.117949636,0.999 +48760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.876269816,0.999 +48761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.335397802,0.999 +48762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.65518036,0.999 +48763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.849043412,0.999 +48764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.684157046,0.999 +48766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,0.528932301,0.999 +48767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.694752645,0.999 +48765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.262728559,0.999 +48768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,0.882004575,0.999 +48769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.462003577,0.999 +48770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.451517737,0.999 +48771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.709659793,0.999 +48773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.470154185,0.999 +48774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.43037473,0.999 +48772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.062750104,0.999 +48776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.973467978,0.999 +48775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.160219024,0.999 +48778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.605024353,0.999 +48777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.131739267,0.999 +48780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,7.383856478,0.999 +48781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.565452625,0.999 +48782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,8.06571959,0.999 +48779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.901197193,0.999 +48785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.09589568,0.999 +48786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,8.360081064,0.999 +48784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.703841147,0.999 +48783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.321928129,0.999 +48788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.819748426,0.999 +48787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.721377883,0.999 +48789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.837507592,0.999 +48791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.290796703,0.999 +48790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.541002579,0.999 +48792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,11.84318743,0.999 +48793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.790331858,0.999 +48794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.578541772,0.999 +48795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.519592266,0.999 +48796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.034392049,0.999 +48797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.594961692,0.999 +48798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.353495509,0.999 +48800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.520342723,0.999 +48801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.83177057,0.999 +48799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.809764231,0.999 +48804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.099191152,0.999 +48802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,7.062725593,0.999 +48803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.749089644,0.999 +48805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,8.077721073,0.999 +48806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.365065899,0.999 +48807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.863255486,0.999 +48808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.602687772,0.999 +48809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.773888949,0.999 +48810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.307232861,0.999 +48811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.857262427,0.999 +48812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.199633241,0.999 +48813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.213653244,0.999 +48814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.887150555,0.999 +48815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,0.687972747,0.999 +48816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.002497736,0.999 +48817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.006446199,0.999 +48819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.086408452,0.999 +48818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.0820996,0.999 +48820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.753553855,0.999 +48822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.091823069,0.999 +48823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.236201856,0.999 +48824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.445904699,0.999 +48825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.174180984,0.999 +48826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,8.297217828,0.999 +48827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.920249864,0.999 +48821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.264097618,0.999 +48828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.254344893,0.999 +48829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.417896559,0.999 +48830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,8.395717142,0.999 +48831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,0.756203671,0.999 +48833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.664916864,0.999 +48832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.811152473,0.999 +48834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.523162099,0.999 +48835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.709430545,0.999 +48836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.034550599,0.999 +48837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.388561246,0.999 +48838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.947068236,0.999 +48840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,7.421123034,0.999 +48841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.842596695,0.999 +48842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.35784398,0.999 +48843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.463574657,0.999 +48844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,7.933659413,0.999 +48839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.022174436,0.999 +48845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.529972439,0.999 +48846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.251715501,0.999 +48847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.415907907,0.999 +48848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.574188662,0.999 +48849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.65405796,0.999 +48850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.334629216,0.999 +48851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,0.582323071,0.999 +48853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.921382769,0.999 +48854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.965748666,0.999 +48852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.935792936,0.999 +48855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.909260663,0.999 +48856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.22182233,0.999 +48857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.207831807,0.999 +48859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,0.602213519,0.999 +48860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.55480057,0.999 +48861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.511965925,0.999 +48858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.195798169,0.999 +48863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.438792793,0.999 +48862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,0.532882499,0.999 +48864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,-0.140072774,0.999 +48865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.86601743,0.999 +48866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.237895807,0.999 +48867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.090303418,0.999 +48868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.570939801,0.999 +48869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.971049341,0.999 +48870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.150656867,0.999 +48871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.406086016,0.999 +48872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,7.180638666,0.999 +48873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.945434808,0.999 +48874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.741927291,0.999 +48875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.715431468,0.999 +48876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.632848132,0.999 +48877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.284499564,0.999 +48879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.548635268,0.999 +48878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.583771485,0.999 +48880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.466528599,0.999 +48881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.015114012,0.999 +48882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,9.535114442,0.999 +48883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.790550737,0.999 +48884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,7.401881583,0.999 +48885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.072911693,0.999 +48886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.510513231,0.999 +48887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.59166333,0.999 +48888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.221621392,0.999 +48890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.035114049,0.999 +48889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.344295649,0.999 +48892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.587167808,0.999 +48891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.295896628,0.999 +48893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.493852043,0.999 +48895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.392401703,0.999 +48894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.72228805,0.999 +48896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.391894373,0.999 +48897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.102259496,0.999 +48898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.254662252,0.999 +48900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.862772852,0.999 +48899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.982876862,0.999 +48902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.211036503,0.999 +48901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.105608053,0.999 +48903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.637747526,0.999 +48904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,0.993288988,0.999 +48905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.926694591,0.999 +48906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.995859588,0.999 +48907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.597776416,0.999 +48908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.303957881,0.999 +48909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.870112714,0.999 +48910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.80512849,0.999 +48911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,12.0023108,0.999 +48913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.092405187,0.999 +48914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.310406935,0.999 +48912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.981515403,0.999 +48915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.196817252,0.999 +48916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.712304862,0.999 +48919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.494341591,0.999 +48917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.616863567,0.999 +48918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.587451577,0.999 +48922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.271020991,0.999 +48920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.151817402,0.999 +48921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.234684478,0.999 +48923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.1962259,0.999 +48924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.890286353,0.999 +48926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.858727083,0.999 +48925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.149760372,0.999 +48928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.16688863,0.999 +48929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,8.237583735,0.999 +48930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.083731864,0.999 +48927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,0.876803932,0.999 +48931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.847044321,0.999 +48932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.901095982,0.999 +48933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.806609263,0.999 +48935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.314170824,0.999 +48936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.881284563,0.999 +48937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.615940256,0.999 +48934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.205397755,0.999 +48938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.587596977,0.999 +48940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.402096451,0.999 +48939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.583349937,0.999 +48941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.86820757,0.999 +48942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.258248192,0.999 +48943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.002703361,0.999 +48944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.480846288,0.999 +48946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.110159553,0.999 +48945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.737330914,0.999 +48948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.136104173,0.999 +48947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.393174818,0.999 +48949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.072464518,0.999 +48951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,9.099918832,0.999 +48952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,9.525210026,0.999 +48954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.382346528,0.999 +48953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.421516693,0.999 +48950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.712959977,0.999 +48955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.925388178,0.999 +48957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.690244753,0.999 +48956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.124075362,0.999 +48958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.820597402,0.999 +48959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.601498259,0.999 +48961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.538328815,0.999 +48962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.362262914,0.999 +48963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.827865199,0.999 +48960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.395109338,0.999 +48964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.140892025,0.999 +48965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,7.738719745,0.999 +48966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,0.334373593,0.999 +48968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.524960575,0.999 +48969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.23225889,0.999 +48970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.888537293,0.999 +48967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.003269626,0.999 +48971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.596815423,0.999 +48974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.139535583,0.999 +48972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.260957865,0.999 +48973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.239802925,0.999 +48975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.512392381,0.999 +48977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.181644941,0.999 +48976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,4.396060461,0.999 +48978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.80598817,0.999 +48979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,0.989162117,0.999 +48980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.315302694,0.999 +48982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,9.115886471,0.999 +48981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.021318457,0.999 +48983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.829941002,0.999 +48985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.627984928,0.999 +48984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.818629185,0.999 +48986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.294715926,0.999 +48987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,6.375643653,0.999 +48989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.121959085,0.999 +48988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.894585506,0.999 +48991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.220256725,0.999 +48990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.014851289,0.999 +48992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,5.144743388,0.999 +48993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.510852922,0.999 +48994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.653524461,0.999 +48995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.467067851,0.999 +48996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,3.872590512,0.999 +48997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.899556966,0.999 +48998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,1.232530995,0.999 +48999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.352720539,0.999 +49000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,9,1,2.724190178,0.999 +58001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.892724094,1 +58003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.355494636,1 +58002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.795152882,1 +58006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.759106041,1 +58004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.20682889,1 +58007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.94069208,1 +58005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.427462737,1 +58008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.414348209,1 +58011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.764031076,1 +58010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.76595216,1 +58009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.256113149,1 +58013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.39848338,1 +58012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.056212358,1 +58014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.169838656,1 +58017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.304191084,1 +58016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.43194484,1 +58018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.505259909,1 +58015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.78115359,1 +58019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.141418981,1 +58020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.24806787,1 +58021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.411202306,1 +58024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.926660829,1 +58023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.412891256,1 +58022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.464022237,1 +58025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.021689864,1 +58026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.294520378,1 +58028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.684819257,1 +58027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.436600665,1 +58029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.222009131,1 +58030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.523731204,1 +58031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.179143368,1 +58033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.794915969,1 +58032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.51786275,1 +58034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.009019187,1 +58035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.516712676,1 +58036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.718551725,1 +58037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.612696985,1 +58038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.580823042,1 +58040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.465589597,1 +58039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.700672632,1 +58042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.923768622,1 +58043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.114357659,1 +58041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.962303644,1 +58044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.072588606,1 +58046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.941214792,1 +58045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.682576292,1 +58047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.255488291,1 +58048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.585810902,1 +58049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.286918745,1 +58050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.544230381,1 +58052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.461072381,1 +58053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.5936097,1 +58051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.05687109,1 +58055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.791255626,1 +58056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.387111384,1 +58054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.788555903,1 +58057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.223667824,1 +58058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.111282873,1 +58059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.112866325,1 +58060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.908903903,1 +58062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.558098195,1 +58061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.22830141,1 +58064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.441474474,1 +58063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.982288926,1 +58065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.746166901,1 +58066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,11.13321904,1 +58068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.344212799,1 +58069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.806149004,1 +58071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.59121013,1 +58067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.050496323,1 +58072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.419317561,1 +58070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.465496479,1 +58073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.415781425,1 +58075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.486352923,1 +58074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.549706757,1 +58077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.174890937,1 +58076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.861328587,1 +58079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.886103149,1 +58081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.453099399,1 +58078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.517722696,1 +58082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.37236073,1 +58080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.105240963,1 +58084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.801726598,1 +58083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.198713663,1 +58085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.184715134,1 +58086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.496386498,1 +58087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.690728072,1 +58090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.690241293,1 +58091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.580840306,1 +58092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.771233867,1 +58088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.288446537,1 +58089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,7.84786675,1 +58096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.934453156,1 +58093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,7.047790127,1 +58095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.152965817,1 +58094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.643416353,1 +58097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.361416663,1 +58098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.255222945,1 +58099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.874691703,1 +58100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.192489389,1 +58101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.782802671,1 +58102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.057611251,1 +58104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.328389326,1 +58106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.218982058,1 +58107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.858071133,1 +58103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.865654701,1 +58105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,7.784922534,1 +58110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.75036838,1 +58108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.810434476,1 +58109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.19329069,1 +58111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.123278793,1 +58112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.194489875,1 +58113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.539071519,1 +58114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.140436533,1 +58115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.088979992,1 +58117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,7.009445853,1 +58116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.108725813,1 +58118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.523934572,1 +58119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.226069249,1 +58120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.449269495,1 +58122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.457013572,1 +58124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.877104981,1 +58121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.893608581,1 +58123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.161048031,1 +58125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.077306781,1 +58127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,0.979391753,1 +58126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.705596201,1 +58128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.847793854,1 +58129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.283666527,1 +58130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.610122183,1 +58132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.012977445,1 +58131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.58449475,1 +58133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.548523932,1 +58135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.756850593,1 +58134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.109817611,1 +58136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.309073943,1 +58137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.582303809,1 +58140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,0.938600976,1 +58141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.049190607,1 +58139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.074511959,1 +58138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.369578027,1 +58142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,7.714758795,1 +58143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.742677992,1 +58145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.564087706,1 +58144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,9.165265473,1 +58146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.895188975,1 +58147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.638914794,1 +58149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.677173719,1 +58148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.905739274,1 +58150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.173095773,1 +58151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.175036446,1 +58152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.857769512,1 +58154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.239520369,1 +58155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.880146988,1 +58153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.196604781,1 +58157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.170875339,1 +58159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.604394482,1 +58158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.53683903,1 +58160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.521692902,1 +58156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.851685369,1 +58161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.341365606,1 +58162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.171743659,1 +58163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.732845202,1 +58164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.213471755,1 +58166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.372638286,1 +58165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.27540045,1 +58167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.907295155,1 +58169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.195801496,1 +58170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.110442767,1 +58171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.916856082,1 +58168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.595668946,1 +58172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.996549177,1 +58174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.443071489,1 +58175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.525671329,1 +58173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.058490784,1 +58176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.859706972,1 +58177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.900619877,1 +58178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.96321077,1 +58179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.468461932,1 +58181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.97678633,1 +58180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,7.866473326,1 +58183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.931821153,1 +58185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.838921527,1 +58182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.925648899,1 +58184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.774368569,1 +58186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.66123386,1 +58187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.9884371,1 +58188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.563480975,1 +58189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,0.808216675,1 +58190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.488938224,1 +58191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.476530208,1 +58192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.387603885,1 +58193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.791369344,1 +58195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.284042841,1 +58194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.786540965,1 +58197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.493601935,1 +58196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.116364493,1 +58200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.420330256,1 +58201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.021992714,1 +58199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.547876739,1 +58198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.213300454,1 +58204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.164719337,1 +58202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.873733804,1 +58203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.979977372,1 +58205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.002630784,1 +58206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.504092567,1 +58207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.971295294,1 +58209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.56512273,1 +58208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.111218918,1 +58211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,7.909943063,1 +58210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.304525178,1 +58212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.280029747,1 +58214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,0.650039706,1 +58213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.828322062,1 +58215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.282805252,1 +58216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.960150835,1 +58217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.965105982,1 +58218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.16128473,1 +58220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,8.976328987,1 +58219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.06277181,1 +58221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.505042822,1 +58223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.032168273,1 +58225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.504301074,1 +58224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.01126491,1 +58222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,7.658452683,1 +58226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.11739636,1 +58227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.489126917,1 +58228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.880645901,1 +58229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.363074689,1 +58230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.601942974,1 +58232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.935172304,1 +58233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.982455331,1 +58231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.673233686,1 +58234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.309792805,1 +58236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.581942866,1 +58237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,11.21885674,1 +58235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.480822377,1 +58238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,7.252527963,1 +58240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.548894986,1 +58239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.771406525,1 +58241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.867499334,1 +58242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.121953358,1 +58244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.594661476,1 +58245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.764624877,1 +58243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.347968653,1 +58246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.365981414,1 +58247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.957785424,1 +58248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.74953768,1 +58249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.311908421,1 +58250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,7.904854084,1 +58251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.398887705,1 +58252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.023688223,1 +58253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.655135679,1 +58254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.161819197,1 +58255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.511173056,1 +58256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.74047203,1 +58258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.804476819,1 +58259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.177023592,1 +58260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.204556135,1 +58257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.920119916,1 +58261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.541598124,1 +58262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.031159819,1 +58263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.969716591,1 +58264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.899698904,1 +58265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.41928043,1 +58266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.693001823,1 +58267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.65993726,1 +58269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.993173777,1 +58268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.30525142,1 +58270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.271174511,1 +58271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.360097197,1 +58272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.702419915,1 +58273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.679273393,1 +58274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.595992429,1 +58275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,0.574084629,1 +58276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.107905503,1 +58277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.868221645,1 +58278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.405450273,1 +58281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.703112261,1 +58279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.420506077,1 +58282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.922089972,1 +58283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.664706719,1 +58284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,7.938064456,1 +58280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.741172568,1 +58285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.328007889,1 +58286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.361845705,1 +58287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.801683448,1 +58289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.016172842,1 +58288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.533060216,1 +58290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.363847166,1 +58291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.573947427,1 +58292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.930244002,1 +58294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.243111045,1 +58295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.98168701,1 +58293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.474476569,1 +58296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.857450315,1 +58297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.346789524,1 +58299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.818102527,1 +58300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.23471146,1 +58301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.331234456,1 +58302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.78427543,1 +58298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.798286329,1 +58303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.807971717,1 +58304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.316104351,1 +58305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.80102442,1 +58306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.071386153,1 +58307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.091828717,1 +58309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.618229493,1 +58308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.440578551,1 +58310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.799587621,1 +58312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.825990499,1 +58311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.994581728,1 +58313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.682762358,1 +58314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.803704336,1 +58316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.144879587,1 +58315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,8.791155357,1 +58317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.090219248,1 +58318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.890711016,1 +58319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.571972099,1 +58320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,8.612827272,1 +58321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.033084457,1 +58324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.489795375,1 +58323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.393484285,1 +58325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.252867516,1 +58322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.630476958,1 +58326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.980705653,1 +58328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.138480131,1 +58327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.384630103,1 +58329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.267051104,1 +58331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.064051783,1 +58330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.862663383,1 +58332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.381101023,1 +58333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,8.790724285,1 +58335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.563169937,1 +58334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.996684264,1 +58336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.698289274,1 +58337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.595109374,1 +58339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,0.745918027,1 +58338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.494511646,1 +58340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.244235683,1 +58341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.337320689,1 +58342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.154552253,1 +58343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.684156088,1 +58344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.560644489,1 +58345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.963532739,1 +58346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.42058544,1 +58347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.39639806,1 +58348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.271009359,1 +58351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.296058562,1 +58350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.492639032,1 +58349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.575464184,1 +58352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.312263189,1 +58353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.173138458,1 +58355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.15378996,1 +58354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.338722616,1 +58356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.016238959,1 +58357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.774507116,1 +58358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.798454284,1 +58360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.063485868,1 +58359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.658289544,1 +58364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.716165492,1 +58363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.083425061,1 +58361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.027702195,1 +58362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.135685571,1 +58365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.738229398,1 +58366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.806691382,1 +58367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,0.832830373,1 +58368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.059499786,1 +58369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.473753134,1 +58370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.227919123,1 +58372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.393671943,1 +58373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.821930781,1 +58374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.463057975,1 +58371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.19047927,1 +58376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.931366217,1 +58377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.105378339,1 +58378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.72751386,1 +58375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,10.95575471,1 +58379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.887893028,1 +58380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.621915168,1 +58381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.353830399,1 +58383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.948733734,1 +58382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.75987015,1 +58385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.145995577,1 +58384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.614451905,1 +58388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.377889787,1 +58386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.225976565,1 +58387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.131797211,1 +58389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.794375778,1 +58391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.748514129,1 +58393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.255480188,1 +58390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.480231613,1 +58394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.472787806,1 +58396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.017949317,1 +58395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.301311168,1 +58392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.260756007,1 +58398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.532341085,1 +58397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.881383194,1 +58399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.383376697,1 +58401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.946609476,1 +58402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.092601343,1 +58400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.745213426,1 +58403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.68974932,1 +58405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.604204264,1 +58406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.75806049,1 +58407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.673328819,1 +58408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.487394969,1 +58409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.063649682,1 +58404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.639849064,1 +58410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.154119896,1 +58411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.743945585,1 +58413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.923591779,1 +58414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,0.859082409,1 +58416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.676727188,1 +58415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.818679046,1 +58412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.094026218,1 +58417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.094633087,1 +58418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.240809724,1 +58419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.968274213,1 +58420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.0538646,1 +58421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.25486172,1 +58423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.503021749,1 +58425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.042500845,1 +58424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.237815501,1 +58422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.183497114,1 +58426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.426351969,1 +58427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.228137605,1 +58428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.396133559,1 +58429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.335412446,1 +58430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.306194826,1 +58431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.34394621,1 +58433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.080622486,1 +58432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.317477973,1 +58436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.669501105,1 +58434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.359752169,1 +58435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.894778426,1 +58437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.370183201,1 +58439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.497463436,1 +58440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.171616457,1 +58438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.264297271,1 +58441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.213193559,1 +58442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.868970073,1 +58443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.628033097,1 +58444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.095355726,1 +58447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.779539248,1 +58445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.527463752,1 +58446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.285143973,1 +58448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.525307908,1 +58449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.620826509,1 +58451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.52210071,1 +58450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.455317025,1 +58452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.963604171,1 +58453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.248313099,1 +58454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.931998008,1 +58455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.863015243,1 +58457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.643002336,1 +58458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.6084028,1 +58459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.719439835,1 +58456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.106630114,1 +58460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.748926868,1 +58461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,0.760089219,1 +58463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.559993361,1 +58462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.884788398,1 +58464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.989504828,1 +58465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.597926133,1 +58466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.376437851,1 +58467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.192303393,1 +58469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.609727197,1 +58468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.04742476,1 +58470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.682284756,1 +58471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.596302496,1 +58472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.624140001,1 +58473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,8.679916572,1 +58474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.837446766,1 +58475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.687103596,1 +58477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.965920605,1 +58476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.189409689,1 +58478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.191433051,1 +58479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.654555538,1 +58480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.07873405,1 +58481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.58934165,1 +58482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.699277586,1 +58483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.217812224,1 +58484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.042818693,1 +58485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.605363147,1 +58486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.226293364,1 +58488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.955634799,1 +58490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.396858178,1 +58489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.874893871,1 +58487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.830970364,1 +58492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.998180276,1 +58491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.942010597,1 +58493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.222496419,1 +58495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.318045404,1 +58496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.168769944,1 +58497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.590340356,1 +58494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.802647436,1 +58499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.975336941,1 +58498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.165912809,1 +58500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.428956993,1 +58502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.072905156,1 +58503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.915867717,1 +58504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.680139213,1 +58501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.560856293,1 +58506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.668709022,1 +58507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.882183508,1 +58505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.966353299,1 +58508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.039618856,1 +58509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,10.70793135,1 +58511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.696483432,1 +58510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.447660349,1 +58512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.581783807,1 +58515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.574859335,1 +58514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.036395642,1 +58513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.127261991,1 +58519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.559684021,1 +58517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.690505153,1 +58518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.191991157,1 +58516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.812013243,1 +58520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.935765075,1 +58523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.001233813,1 +58522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.485981334,1 +58521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.728694436,1 +58524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.566533456,1 +58526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.893316215,1 +58525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.911776776,1 +58527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.076562708,1 +58528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.40626092,1 +58529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.168591191,1 +58531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.791420495,1 +58530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.339929472,1 +58532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.341033725,1 +58533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.873913594,1 +58534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.133006137,1 +58536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.209027865,1 +58535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.321651266,1 +58537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.280197112,1 +58538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.141007098,1 +58539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.112936865,1 +58540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.543803109,1 +58541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.841324294,1 +58542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.973323181,1 +58543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.370219527,1 +58545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.764299276,1 +58544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.414043614,1 +58546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.357687983,1 +58547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.45488324,1 +58548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.499707737,1 +58549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.320191213,1 +58550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.328888473,1 +58551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.420705111,1 +58552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.566250384,1 +58554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.280253116,1 +58555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.036760024,1 +58553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.018143545,1 +58556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.49664299,1 +58557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.881162584,1 +58558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,7.851617969,1 +58559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.012629905,1 +58560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.991030384,1 +58561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,7.371924048,1 +58562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.238017631,1 +58563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.792994379,1 +58564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.964858666,1 +58566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.621324329,1 +58565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.788446531,1 +58567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.834774687,1 +58570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.833829164,1 +58568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.029889638,1 +58569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.742497587,1 +58572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.949179828,1 +58573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.124220485,1 +58571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.531389053,1 +58574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.910163284,1 +58576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.594148915,1 +58575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.588989707,1 +58577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.967549092,1 +58578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.382918239,1 +58579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.144489954,1 +58580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.574973547,1 +58582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.579915789,1 +58581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.94153675,1 +58583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.260114161,1 +58584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.136701983,1 +58585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.351870124,1 +58587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.973397806,1 +58588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.185168199,1 +58589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.365973198,1 +58586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.711677175,1 +58590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.34743006,1 +58591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.751852902,1 +58592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.753746468,1 +58594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.80427286,1 +58595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.345595654,1 +58593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.939498509,1 +58596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.784000784,1 +58599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.280185,1 +58597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.543325493,1 +58598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.723026357,1 +58600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.041197963,1 +58601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,10.16687255,1 +58602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.693317542,1 +58603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.296291924,1 +58604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.606599875,1 +58606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.963590585,1 +58607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.390245522,1 +58608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.130755237,1 +58610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.649639774,1 +58609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.607866258,1 +58611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.789162768,1 +58605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.636810576,1 +58612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.509657451,1 +58613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.33800612,1 +58615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.054138255,1 +58614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.316527919,1 +58616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.561660384,1 +58619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,7.893152614,1 +58617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.05751016,1 +58618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.80711603,1 +58620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.690121322,1 +58622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.162275902,1 +58621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.42363373,1 +58623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.614555837,1 +58624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.000867475,1 +58625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.396348995,1 +58626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.434856886,1 +58628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.938944251,1 +58627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.32843483,1 +58629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.871863092,1 +58630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.644007532,1 +58632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.315581323,1 +58631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.511467184,1 +58634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.830196034,1 +58633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.746385142,1 +58635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.201264551,1 +58636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.531051083,1 +58637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.295057754,1 +58638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.355817979,1 +58639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.404352389,1 +58640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.619646422,1 +58642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.663345009,1 +58644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.25624429,1 +58643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.549989087,1 +58641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.390827067,1 +58645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.823615198,1 +58647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.542995039,1 +58646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.079807488,1 +58649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.053996083,1 +58648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.530686612,1 +58650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.277576366,1 +58651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.817389403,1 +58652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.778808178,1 +58653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.237623561,1 +58654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.588550943,1 +58655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.184251552,1 +58656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.72422714,1 +58659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.242080832,1 +58658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.558547157,1 +58657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.741268176,1 +58660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.780054724,1 +58661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.598574789,1 +58662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.480899484,1 +58663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.060420035,1 +58664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.197672946,1 +58666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.664181109,1 +58665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.781346159,1 +58667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.715331675,1 +58668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,7.130607312,1 +58670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.778267941,1 +58669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.663302045,1 +58671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.136086157,1 +58672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.1820296,1 +58673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,0.769824687,1 +58674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.990797788,1 +58676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.052983721,1 +58675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.831248283,1 +58677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.164281734,1 +58678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.427240215,1 +58679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.54018658,1 +58681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.032721328,1 +58680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.828963473,1 +58682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.415903063,1 +58684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.735355816,1 +58683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.028994288,1 +58685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.167719804,1 +58686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.91915174,1 +58687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.119732356,1 +58688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.692915876,1 +58690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.811612663,1 +58689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.631775175,1 +58692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.344591785,1 +58691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.823759537,1 +58693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.29714955,1 +58696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.629180364,1 +58695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.793315903,1 +58697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.729523172,1 +58694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.638766465,1 +58698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.444238553,1 +58699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.950319758,1 +58700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.135722979,1 +58702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.438046605,1 +58703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.719706163,1 +58701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.960657505,1 +58704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.825147946,1 +58705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.312728779,1 +58706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.918773402,1 +58707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.234187117,1 +58708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.413512519,1 +58709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,8.609131906,1 +58710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.312551115,1 +58711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.192279181,1 +58712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.481120228,1 +58713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,8.602909121,1 +58714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.955733597,1 +58716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.99358059,1 +58717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.94465184,1 +58718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.555350294,1 +58715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,8.357259109,1 +58719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.693108317,1 +58721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.884947013,1 +58722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.035632586,1 +58720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.13298012,1 +58723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.343852082,1 +58724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.671523863,1 +58725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.110984733,1 +58726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.233273553,1 +58727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.109459188,1 +58729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,7.088426377,1 +58730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.18317382,1 +58732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.609044567,1 +58731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.272507199,1 +58733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.841939759,1 +58728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.876703025,1 +58734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.730274366,1 +58735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.349419442,1 +58737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.389975036,1 +58739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.630821821,1 +58736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.311614204,1 +58740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.373373751,1 +58738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.780321733,1 +58742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.359694889,1 +58744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.453836138,1 +58743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.198883729,1 +58745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.798140937,1 +58741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.167680154,1 +58746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.865639471,1 +58748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.839502059,1 +58749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.958870172,1 +58750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.016580496,1 +58747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.33040628,1 +58752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.759398253,1 +58751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.07630707,1 +58754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.657181351,1 +58753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.456683802,1 +58755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.942167668,1 +58756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.039290495,1 +58758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.373655346,1 +58757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.277230977,1 +58760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.586553125,1 +58759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.028273613,1 +58761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.405694564,1 +58762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.534665647,1 +58763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.768477843,1 +58765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.270041169,1 +58764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.564489823,1 +58766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.335605836,1 +58767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.409346995,1 +58769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.94407484,1 +58768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.502569302,1 +58770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.289701012,1 +58772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.697339123,1 +58771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.03123611,1 +58773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.227830166,1 +58774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.487875478,1 +58776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.427499889,1 +58777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,10.21818986,1 +58778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.254253165,1 +58779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.48957233,1 +58775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.384334611,1 +58780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.94668646,1 +58783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.999527981,1 +58782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.111418046,1 +58781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.049775859,1 +58784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.903207304,1 +58786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.322626997,1 +58785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,10.97793364,1 +58788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.797870785,1 +58787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.627225667,1 +58789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.27736289,1 +58790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.807396737,1 +58794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.532172082,1 +58791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.480845068,1 +58792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.530542766,1 +58793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.256054424,1 +58796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.243964976,1 +58797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.341659525,1 +58795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.715657257,1 +58798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.835036885,1 +58799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,7.227711784,1 +58800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.745408725,1 +58801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.533570073,1 +58803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.532590837,1 +58802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.82727612,1 +58806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.006338384,1 +58805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.581625672,1 +58807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.385898176,1 +58804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.181833307,1 +58808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.555562257,1 +58809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.432566016,1 +58810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,8.084615276,1 +58811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.122723762,1 +58812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.481911168,1 +58813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.698000248,1 +58814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.254212585,1 +58816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.658126912,1 +58817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.188792651,1 +58815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.688410112,1 +58818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.583921094,1 +58819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.818386905,1 +58820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.644964632,1 +58822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.287023539,1 +58823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.100269588,1 +58824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.097130854,1 +58821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,7.36684765,1 +58825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.750144642,1 +58826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.206348328,1 +58827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.819549237,1 +58828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.961352172,1 +58829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.53266724,1 +58830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.21533657,1 +58832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.333068712,1 +58831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,0.925501338,1 +58833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.920781105,1 +58834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.976031477,1 +58836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.940578604,1 +58838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.830438255,1 +58837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.522139609,1 +58839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.106186248,1 +58835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.861724919,1 +58841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.836114172,1 +58840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.661772012,1 +58843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.472018776,1 +58844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.519587818,1 +58842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,0.969062235,1 +58845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.182203111,1 +58846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.868564328,1 +58848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.754114428,1 +58847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.877719598,1 +58849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.221402255,1 +58850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.075874043,1 +58851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.084097667,1 +58852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.258411307,1 +58853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.04896703,1 +58855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.061308188,1 +58856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.20721585,1 +58859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.715517303,1 +58857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.741255739,1 +58854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.211661955,1 +58858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.610839501,1 +58861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.886158089,1 +58862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.289616528,1 +58860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.190656155,1 +58863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.474795654,1 +58865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.857501804,1 +58864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.256341058,1 +58866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.061840386,1 +58867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.210539976,1 +58869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.572294779,1 +58870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.631668258,1 +58871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.878882021,1 +58872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.087147437,1 +58868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,7.335244709,1 +58874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.684645846,1 +58873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.621591654,1 +58876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.738896809,1 +58875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.328537604,1 +58878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,9.203791162,1 +58877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.054699819,1 +58879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.073874832,1 +58880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.420181215,1 +58881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.458672713,1 +58882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.934699712,1 +58884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.312341341,1 +58885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.820272093,1 +58886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.563022749,1 +58883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.270003587,1 +58887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.931491924,1 +58889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.810107544,1 +58888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,7.046826686,1 +58890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.269123839,1 +58891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.889391344,1 +58893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.047129705,1 +58892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.033193408,1 +58894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.588848797,1 +58895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.487982415,1 +58896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.345580557,1 +58897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.029091232,1 +58899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.018507549,1 +58900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.586835321,1 +58901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.41387624,1 +58898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.986701224,1 +58902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.182294673,1 +58903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.152185402,1 +58905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.646559522,1 +58904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.635408143,1 +58907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.875640034,1 +58906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.337989325,1 +58909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.372569125,1 +58908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.151006504,1 +58910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.592640314,1 +58911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.839788545,1 +58912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.969302117,1 +58914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.444861794,1 +58915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.140166081,1 +58916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.694316664,1 +58913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.702275453,1 +58917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.242785458,1 +58918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.859706912,1 +58920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.385825328,1 +58919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.902256059,1 +58922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.407891214,1 +58921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.027205589,1 +58924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.673350571,1 +58923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.047433988,1 +58925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.214642953,1 +58926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.173671847,1 +58927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.158250509,1 +58930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.787763337,1 +58929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.696315701,1 +58931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.116590466,1 +58928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.467045274,1 +58933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.382568673,1 +58932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.411976638,1 +58934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.827310209,1 +58935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.088268897,1 +58936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.269194302,1 +58937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.228587413,1 +58938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.737957861,1 +58940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.109066176,1 +58941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.290336541,1 +58942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.007840667,1 +58943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.559291226,1 +58944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.1560974,1 +58945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.290337116,1 +58939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.776625301,1 +58946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.791777961,1 +58947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.234448991,1 +58948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.080944974,1 +58949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.894395328,1 +58950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.28974868,1 +58951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.051701265,1 +58952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.637681823,1 +58953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.126346484,1 +58955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.942991383,1 +58954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.247276504,1 +58956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.370315548,1 +58957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.329970003,1 +58958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.590968688,1 +58960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.711871921,1 +58961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.733804947,1 +58962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.284040141,1 +58963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.571810616,1 +58959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.440726866,1 +58964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.84819171,1 +58965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.17221589,1 +58966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.970509074,1 +58967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.98222886,1 +58968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.791438658,1 +58969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.986421094,1 +58970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,10.59267793,1 +58971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.58472143,1 +58972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.823283222,1 +58973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.127356876,1 +58974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.154734549,1 +58975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.587709719,1 +58976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.788598704,1 +58977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.543821849,1 +58978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.650995081,1 +58980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.003609472,1 +58981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,6.581784429,1 +58982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.765334272,1 +58979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.661984801,1 +58983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.887602092,1 +58984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.700371079,1 +58987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.600158258,1 +58985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.280920908,1 +58986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.108601349,1 +58988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.482032134,1 +58989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.774372959,1 +58990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.62007345,1 +58991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.899916545,1 +58992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.082304182,1 +58994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,1.55631085,1 +58993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.246274012,1 +58996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.861302374,1 +58995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,2.970942292,1 +58997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,4.642457985,1 +58998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,5.336865223,1 +59000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.507618142,1 +58999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,9,1,3.14350809,1 +68001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.659988213,1 +68002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.881725619,1 +68004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.405171662,1 +68003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.797472226,1 +68007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.444504219,1 +68008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.037703164,1 +68006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.420812811,1 +68005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.544891961,1 +68009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.366704544,1 +68010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.700652235,1 +68011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.822029887,1 +68013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.099092443,1 +68014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.791303124,1 +68012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.738595331,1 +68015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.712512884,1 +68017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.87246608,1 +68019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.722945323,1 +68016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.040589473,1 +68018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.775482968,1 +68020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.631743862,1 +68022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.603199815,1 +68024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.85063409,1 +68023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.11267918,1 +68025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.558340254,1 +68021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.908387934,1 +68026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,7.225762504,1 +68028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.631414649,1 +68029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.152817128,1 +68030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.658690188,1 +68027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.356955163,1 +68031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.792941252,1 +68032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.971902237,1 +68036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.024854106,1 +68033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.406965605,1 +68034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.751302004,1 +68035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.998308396,1 +68038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.320670798,1 +68039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.158791342,1 +68040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.97297358,1 +68037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.240943553,1 +68041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.226187285,1 +68043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.377031873,1 +68045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.462937615,1 +68044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.472226247,1 +68046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.274537012,1 +68042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.59998323,1 +68048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.487344432,1 +68047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.565595239,1 +68051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.644132175,1 +68049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.818601583,1 +68050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.225027789,1 +68052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.292131734,1 +68055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.709065981,1 +68053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.403522123,1 +68054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.773209238,1 +68056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.192777825,1 +68057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.310390938,1 +68059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.340606471,1 +68060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.994717061,1 +68062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.156105093,1 +68058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.220474978,1 +68063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.631274514,1 +68061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.248271877,1 +68065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.793839994,1 +68064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.619124066,1 +68066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.496435107,1 +68068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.623542231,1 +68067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.983978434,1 +68069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.322341305,1 +68071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.00871059,1 +68070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.260836973,1 +68072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.165297747,1 +68073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.131939381,1 +68075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.725938227,1 +68077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.580245148,1 +68076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.677444761,1 +68078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.749937983,1 +68074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.159412586,1 +68079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.398431425,1 +68080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.657620902,1 +68082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.75648272,1 +68081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.806733925,1 +68083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.900287913,1 +68085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.712430139,1 +68084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.566343719,1 +68086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.448926309,1 +68087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.155486274,1 +68088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.985700639,1 +68090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.487160688,1 +68089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.055363927,1 +68091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.896880631,1 +68093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.308430214,1 +68094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.814323939,1 +68092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.729133361,1 +68095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.684251094,1 +68096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.601165236,1 +68097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.234109111,1 +68098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.872834153,1 +68099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.510248544,1 +68100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.545298066,1 +68101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.101223385,1 +68102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.302175916,1 +68103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.381897506,1 +68104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.933941963,1 +68105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.887762637,1 +68106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.716444957,1 +68108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.882224999,1 +68107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.997369455,1 +68109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.826762084,1 +68110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,0.974170633,1 +68111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.638192468,1 +68112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.731851455,1 +68113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,7.169469841,1 +68114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.230092744,1 +68115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.996303182,1 +68116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.038170302,1 +68117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.952916642,1 +68118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.496318103,1 +68119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.143550762,1 +68121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.602094767,1 +68122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.435536915,1 +68120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.538575327,1 +68123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.205494187,1 +68125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.098667701,1 +68124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.484355045,1 +68126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.944562505,1 +68127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.614928057,1 +68129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.790863626,1 +68128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.048516409,1 +68131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.108219578,1 +68132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.057249695,1 +68133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.089272907,1 +68130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.517005351,1 +68134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.453116462,1 +68135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.027737331,1 +68136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.364041265,1 +68138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.000091934,1 +68139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.070451169,1 +68137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.811624441,1 +68140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.035289653,1 +68141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.006991371,1 +68143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.790864734,1 +68142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.068343024,1 +68144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.163305468,1 +68145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.776312722,1 +68147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.055186786,1 +68146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.837442349,1 +68148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.713193873,1 +68149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.365099186,1 +68150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.399476198,1 +68152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,9.120592904,1 +68153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.058079645,1 +68155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.607744525,1 +68154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.862336142,1 +68151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.75715216,1 +68156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.322316052,1 +68157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.562656016,1 +68158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.536162916,1 +68159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.396713989,1 +68160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.675497474,1 +68161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.898872756,1 +68162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.811357361,1 +68163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.805541367,1 +68164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.984566217,1 +68165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.034744997,1 +68166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.898941781,1 +68168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.154498332,1 +68169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.459271622,1 +68170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.622617444,1 +68171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.185970094,1 +68167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.358255525,1 +68172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.437081899,1 +68173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.319575017,1 +68175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.297986497,1 +68174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,7.344510278,1 +68177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.605507377,1 +68176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.407631228,1 +68179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.414268879,1 +68178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.002149867,1 +68181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.865323981,1 +68180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.284860698,1 +68182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.978073769,1 +68184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.295019341,1 +68183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.624679926,1 +68185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.787348331,1 +68186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.603333183,1 +68189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.003932117,1 +68187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.267497596,1 +68188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.273483258,1 +68190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.340311321,1 +68192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.922521541,1 +68191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.242398232,1 +68194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.501141617,1 +68193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.445218865,1 +68195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.662224882,1 +68196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.943439366,1 +68197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.700876747,1 +68198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.918294039,1 +68199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.418981596,1 +68200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.89296471,1 +68201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.112475218,1 +68203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.026427463,1 +68204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.492904071,1 +68202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.171567549,1 +68205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.478408896,1 +68206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.218286121,1 +68207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.661156765,1 +68209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.569409564,1 +68210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.005585589,1 +68211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.813000706,1 +68208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.037213459,1 +68212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.235145519,1 +68213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.71206811,1 +68214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.793476585,1 +68216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.192973171,1 +68215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.37462758,1 +68217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.151640158,1 +68218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.081425433,1 +68219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.06604925,1 +68220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.552976153,1 +68222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.212656991,1 +68221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.039164639,1 +68224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.582914608,1 +68226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.093919367,1 +68225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.74516917,1 +68227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.830029507,1 +68229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.805697429,1 +68228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.077592435,1 +68223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.52325685,1 +68230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.887472908,1 +68232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.532969808,1 +68231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.903819903,1 +68233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.372947739,1 +68234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.68777246,1 +68238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.156855695,1 +68237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.858840508,1 +68235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.486840296,1 +68236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.889802273,1 +68239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.532051024,1 +68240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.301783656,1 +68242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,7.430502654,1 +68241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.759510377,1 +68243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.765938138,1 +68245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.121948404,1 +68246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.642655572,1 +68248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.886207671,1 +68249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.426468616,1 +68244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.107200007,1 +68247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.868820119,1 +68252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.233126259,1 +68251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.240387184,1 +68253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.498384275,1 +68250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.454705328,1 +68255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.50385375,1 +68256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.277588983,1 +68257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.013558745,1 +68254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.695626387,1 +68259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.670194601,1 +68258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.502960789,1 +68260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.9693891,1 +68262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.234851939,1 +68264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.443196773,1 +68263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.562036484,1 +68261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.866189481,1 +68266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.997452908,1 +68268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.281760836,1 +68267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.969811417,1 +68265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.224916096,1 +68269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.158147639,1 +68271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.676272639,1 +68270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.1550182,1 +68272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.387728947,1 +68273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.618920814,1 +68274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.05429507,1 +68275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.178400674,1 +68276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.846119727,1 +68277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.001613235,1 +68278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.151479942,1 +68280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.110790637,1 +68279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.248974511,1 +68282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.118066039,1 +68281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.651839606,1 +68284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,7.946129046,1 +68285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.966035062,1 +68286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.750111228,1 +68283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.112479526,1 +68288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.458516444,1 +68287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.880818351,1 +68289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.715142974,1 +68291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.999198617,1 +68290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.595578142,1 +68293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.67283529,1 +68292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.563573231,1 +68294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.11073791,1 +68295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.848218485,1 +68296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.90434981,1 +68298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.673575334,1 +68299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.168812065,1 +68297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.583228734,1 +68300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.485486395,1 +68301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.449312098,1 +68303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.254867751,1 +68304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.477738171,1 +68305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.075705682,1 +68302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.847635426,1 +68307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.302528986,1 +68308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.589587288,1 +68306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.972904973,1 +68309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.689320898,1 +68310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.000807144,1 +68312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.234161737,1 +68311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.97573283,1 +68313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.972395342,1 +68314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.20883714,1 +68316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.933467648,1 +68317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.05715396,1 +68315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.790696158,1 +68318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.575091576,1 +68319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.310372752,1 +68321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.909298272,1 +68322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.356314516,1 +68323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.752234073,1 +68324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.601596312,1 +68320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.852526407,1 +68325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.69018751,1 +68326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.808874868,1 +68328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.8187577,1 +68327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.146890135,1 +68329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.355943114,1 +68331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.792728515,1 +68330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.406133927,1 +68332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.946536918,1 +68333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.656281849,1 +68335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.269474108,1 +68334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.16327029,1 +68337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.970613387,1 +68338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.963954695,1 +68336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.478355809,1 +68339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.52051184,1 +68340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.820727183,1 +68341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.365196541,1 +68343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.133836823,1 +68345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.305080282,1 +68344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.978744047,1 +68342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.23899188,1 +68346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.802808357,1 +68347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.32501439,1 +68348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.617152609,1 +68350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.43115415,1 +68351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.209078628,1 +68352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.442790107,1 +68353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.791177696,1 +68349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.933426311,1 +68354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.418964174,1 +68357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,7.302856931,1 +68356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.975389472,1 +68355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.408235557,1 +68358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.604578544,1 +68361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.251694941,1 +68359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.38796512,1 +68360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,7.197870045,1 +68362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.476902084,1 +68363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.321893261,1 +68366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.759951163,1 +68365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.786548712,1 +68367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.202504091,1 +68369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.468906601,1 +68368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.264471655,1 +68364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.984418115,1 +68371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.566582343,1 +68370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.683181219,1 +68372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.237266469,1 +68373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.449438823,1 +68374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.587637069,1 +68376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.709253101,1 +68375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.17065658,1 +68377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.75354181,1 +68378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,7.332546333,1 +68379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.482554886,1 +68380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,9.491613984,1 +68382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.254081918,1 +68383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.360372805,1 +68384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.001631875,1 +68385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.886733844,1 +68381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.472862415,1 +68386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.67357801,1 +68387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.15600802,1 +68388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.451151648,1 +68389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.234247321,1 +68390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.612000635,1 +68391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.181386145,1 +68392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.467138306,1 +68393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.375552918,1 +68394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.29711835,1 +68395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.297693037,1 +68396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.745748022,1 +68397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.878233064,1 +68398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,8.17338466,1 +68399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.389725203,1 +68400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.758143218,1 +68403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.287020322,1 +68401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.887964272,1 +68404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,9.157046423,1 +68402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.732198073,1 +68405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,9.222294652,1 +68406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.042119612,1 +68407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.286719742,1 +68408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,7.544009371,1 +68410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.001568587,1 +68412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.262162988,1 +68409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.77010165,1 +68411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.819723943,1 +68415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.893259924,1 +68416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.125857832,1 +68413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.141072237,1 +68414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.230264321,1 +68417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.217647317,1 +68418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.402856533,1 +68419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.016647551,1 +68420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.925587047,1 +68422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.150480199,1 +68424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.937501768,1 +68423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,0.731985264,1 +68421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.10664547,1 +68425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.832800614,1 +68426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.982298053,1 +68427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.349435944,1 +68429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.668866988,1 +68430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.028957659,1 +68428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.932763787,1 +68431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.648869451,1 +68432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.577908363,1 +68433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.960108429,1 +68434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.164711862,1 +68435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.783140515,1 +68437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.665016242,1 +68436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.224419707,1 +68438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.723110455,1 +68439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.382658735,1 +68440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.405877295,1 +68441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.824580564,1 +68445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.088557238,1 +68443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.22550003,1 +68444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.510988841,1 +68442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.826530918,1 +68447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.682790277,1 +68449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.425208998,1 +68446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.917677017,1 +68448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.199344206,1 +68450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.076728514,1 +68451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.581583464,1 +68452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.753991364,1 +68453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.242373367,1 +68455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.401366286,1 +68456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.879088637,1 +68457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.248337008,1 +68454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.531554103,1 +68459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.868014966,1 +68460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.765589007,1 +68461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.348822593,1 +68458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.519074402,1 +68462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.222271422,1 +68463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.187184235,1 +68464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.651265615,1 +68465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.825983412,1 +68466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.651723225,1 +68467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.816403731,1 +68468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.223907688,1 +68469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.379725116,1 +68470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.409665351,1 +68471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.269365043,1 +68473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.906854566,1 +68475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.687889222,1 +68472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.563367761,1 +68474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.946000408,1 +68479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.233507277,1 +68478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.271220043,1 +68477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.809151237,1 +68476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.057553056,1 +68480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.498478392,1 +68482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.694781062,1 +68483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.489210906,1 +68484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.855348022,1 +68485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.899770816,1 +68481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.714160479,1 +68486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.234471091,1 +68487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.171967401,1 +68488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.036324086,1 +68490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.827271921,1 +68489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.704461499,1 +68491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.912939884,1 +68492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.651161803,1 +68494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.143012478,1 +68493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.842983262,1 +68495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.243698421,1 +68496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.005158937,1 +68497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.714643025,1 +68498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.039549433,1 +68499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.3771711,1 +68500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.311827932,1 +68502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.196073621,1 +68504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.732124867,1 +68503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.02178235,1 +68501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.485468051,1 +68505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.593301301,1 +68506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.68808145,1 +68507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.908932371,1 +68509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.933131208,1 +68508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.212957546,1 +68510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.407747754,1 +68511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.994408187,1 +68512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.106134169,1 +68513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.018591217,1 +68515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.798132825,1 +68514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.896968121,1 +68516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.099479277,1 +68518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.66292725,1 +68517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.645377401,1 +68519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.546861434,1 +68520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.363576018,1 +68521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.617454486,1 +68523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.631265487,1 +68524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.375937743,1 +68525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.537669861,1 +68522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.162608368,1 +68526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.972575717,1 +68527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.038911646,1 +68529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.883196552,1 +68528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.602172446,1 +68530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.863630191,1 +68531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.271902478,1 +68533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.751021038,1 +68532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.779961556,1 +68534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.552639463,1 +68535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.707324585,1 +68536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.689808256,1 +68538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.358483825,1 +68539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.535760856,1 +68537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.991832499,1 +68540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.756362749,1 +68541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.876701997,1 +68542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.107804107,1 +68544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.655145096,1 +68543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.678134096,1 +68545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.701447396,1 +68546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.904444045,1 +68548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.112380803,1 +68547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.853845165,1 +68549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.987968062,1 +68550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.231213267,1 +68553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.858081955,1 +68552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.645431485,1 +68554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.97109045,1 +68551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.441164702,1 +68556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.679461005,1 +68555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,0.920633379,1 +68559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.846962062,1 +68560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.571445929,1 +68557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.058047248,1 +68561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.888613767,1 +68562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.736357435,1 +68558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.012492997,1 +68563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.415644752,1 +68564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.215223012,1 +68565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.214516172,1 +68567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.255574047,1 +68568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,8.203449103,1 +68566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,8.130581889,1 +68570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.026534832,1 +68569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.538050075,1 +68572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.359428364,1 +68573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.364511595,1 +68571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.825970443,1 +68574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.087526318,1 +68577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.909040932,1 +68578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.458790499,1 +68575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.893643377,1 +68579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.399571761,1 +68576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.239376439,1 +68580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.287187037,1 +68582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.810933828,1 +68581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.917426936,1 +68584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.016049833,1 +68583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.239240057,1 +68586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.508587991,1 +68585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,7.314299182,1 +68587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.658778298,1 +68588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.105617922,1 +68589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.453569057,1 +68590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.931701779,1 +68591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.097717833,1 +68592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.358152746,1 +68594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.529790627,1 +68595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,7.380809703,1 +68593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.911696592,1 +68597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.22401479,1 +68598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.164453104,1 +68599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.530360152,1 +68601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.877229597,1 +68596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.061330288,1 +68600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,8.783706798,1 +68602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.55312379,1 +68604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.100069631,1 +68603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.018775377,1 +68605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.295606303,1 +68606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.169352622,1 +68607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.094137151,1 +68609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.793090071,1 +68608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.545505789,1 +68611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.779521707,1 +68612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.18816232,1 +68613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.448860164,1 +68614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.644915184,1 +68615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.718428314,1 +68616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.333101369,1 +68610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.903396966,1 +68618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.275293918,1 +68620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.065120694,1 +68617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.835840042,1 +68619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.092209557,1 +68621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.700210013,1 +68622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.911687874,1 +68623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.922634142,1 +68624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.241505941,1 +68625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.714943505,1 +68626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.10332648,1 +68627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.115240595,1 +68628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.069762272,1 +68629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.892196705,1 +68631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.763842497,1 +68632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.981755383,1 +68633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.690832048,1 +68634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.483796741,1 +68635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.228596885,1 +68630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.906994108,1 +68636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.4389124,1 +68637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.179158679,1 +68638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.931994016,1 +68639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.477745738,1 +68640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,7.375296059,1 +68641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.784875616,1 +68642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.833768249,1 +68643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.032791724,1 +68644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.726097596,1 +68645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.796775987,1 +68646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.506874779,1 +68648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.773516637,1 +68649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.110620126,1 +68647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.508246109,1 +68652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.699433594,1 +68651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.727251394,1 +68653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.498825561,1 +68650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.676895715,1 +68654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.029123893,1 +68655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.508794451,1 +68656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.488322349,1 +68658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.68854511,1 +68657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.179138273,1 +68659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.456548589,1 +68660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.148321268,1 +68662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.124299576,1 +68663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.102423331,1 +68661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.304133229,1 +68664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.460551365,1 +68665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.94486921,1 +68667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.391342366,1 +68666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.90044247,1 +68668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.943798109,1 +68670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.104288046,1 +68671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.09564965,1 +68672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.007468127,1 +68673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.405675704,1 +68674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.662101286,1 +68669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.223950119,1 +68678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.139855479,1 +68676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.148226468,1 +68675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.010463388,1 +68677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.20483207,1 +68679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.33906229,1 +68680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.48052032,1 +68681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.456344069,1 +68682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.829092738,1 +68683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.782953414,1 +68686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.268989931,1 +68684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.54946575,1 +68685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.781402758,1 +68689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.066668403,1 +68688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.055448448,1 +68690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.402444579,1 +68691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.395599473,1 +68692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.37366345,1 +68687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.100518327,1 +68693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.346033436,1 +68696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.438395313,1 +68694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.053604809,1 +68695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.066088992,1 +68697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.178431367,1 +68698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.703464569,1 +68699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.160304438,1 +68700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.383548245,1 +68701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.87294276,1 +68702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.22785342,1 +68703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.497215531,1 +68704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.669173485,1 +68707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.836553919,1 +68708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.431935888,1 +68705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.947210645,1 +68706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.109786565,1 +68709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.89311303,1 +68710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.799678827,1 +68712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.430428949,1 +68713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.743191942,1 +68714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.551807897,1 +68711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.322321295,1 +68715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.716244347,1 +68716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.849347872,1 +68717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.862346067,1 +68719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.504084389,1 +68720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.630781048,1 +68721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.934583098,1 +68718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.086887568,1 +68723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.230931877,1 +68722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.659699093,1 +68725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.391141903,1 +68724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.708499677,1 +68726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.533923039,1 +68727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.256622204,1 +68728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.995189077,1 +68729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.924159538,1 +68730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.171912661,1 +68731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.39042099,1 +68733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.34269421,1 +68734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.026636537,1 +68736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.027618397,1 +68735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.58674636,1 +68732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.162009392,1 +68738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.69227385,1 +68740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.584346334,1 +68739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.804499958,1 +68737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.892774801,1 +68741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.227692644,1 +68743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.524698358,1 +68744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.862589252,1 +68742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.171597359,1 +68745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.393323714,1 +68746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.745728883,1 +68747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.414919645,1 +68748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.343020615,1 +68749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.689014147,1 +68750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.214653626,1 +68751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.546999964,1 +68754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.252053849,1 +68755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.377975507,1 +68753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.341837887,1 +68756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.217803274,1 +68752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.484534354,1 +68757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.996021244,1 +68758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.071063469,1 +68759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.152591122,1 +68761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.863758852,1 +68760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.206231466,1 +68762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.446889659,1 +68763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.347001276,1 +68764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.667085819,1 +68766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.012581953,1 +68765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.381529761,1 +68767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.876963857,1 +68768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.579956618,1 +68770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.319635496,1 +68769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.005590604,1 +68771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.352925713,1 +68772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.532265943,1 +68773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.979417388,1 +68774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.661104561,1 +68775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.417721025,1 +68776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.06288417,1 +68777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.161985059,1 +68778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.413696014,1 +68779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.14757867,1 +68780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.305298465,1 +68782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.002943438,1 +68781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.236994359,1 +68783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.497108404,1 +68784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.461955103,1 +68787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.998448457,1 +68785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.644554346,1 +68786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.492198301,1 +68789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.938720936,1 +68788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.670082919,1 +68791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.412879978,1 +68790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.237154137,1 +68792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.294470609,1 +68793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.660921547,1 +68794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.473490668,1 +68796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.738503362,1 +68797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.990180896,1 +68795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.162694183,1 +68798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.701106021,1 +68800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.725509808,1 +68799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.233184626,1 +68801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.87608079,1 +68802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.991227419,1 +68804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.461936165,1 +68803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.352609653,1 +68806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.438373664,1 +68807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.939486114,1 +68805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.991087589,1 +68808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.689530067,1 +68809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.697747464,1 +68810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.22151767,1 +68812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.451379952,1 +68811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.230943873,1 +68813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.524513379,1 +68814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.465770525,1 +68815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.764696401,1 +68816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.711404531,1 +68817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.717658184,1 +68818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.28729075,1 +68820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.342356953,1 +68819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.020871719,1 +68821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.676200597,1 +68822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.973184134,1 +68823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.283102983,1 +68825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.978096814,1 +68826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.572096574,1 +68824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.308994707,1 +68828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.611110082,1 +68830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.365656806,1 +68827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.296651827,1 +68829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.731380149,1 +68832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.673202227,1 +68831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.162173595,1 +68833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.016809876,1 +68834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.258784795,1 +68837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.944944452,1 +68836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.46159054,1 +68838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.77562131,1 +68839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.17710482,1 +68840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.690656492,1 +68835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,7.810501954,1 +68841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.982541072,1 +68844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.95314327,1 +68843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.095556046,1 +68845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.441543348,1 +68842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.006350858,1 +68846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,7.642397397,1 +68848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.070021747,1 +68847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.94196846,1 +68849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.63997072,1 +68850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.981586868,1 +68851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,9.946311747,1 +68852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.602855383,1 +68853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.88442514,1 +68854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.871156646,1 +68855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.505193672,1 +68856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.45183504,1 +68858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.700603071,1 +68859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.105979478,1 +68860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.36645055,1 +68857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.197437286,1 +68861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.033343513,1 +68862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.386162058,1 +68864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.295515085,1 +68863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.561169578,1 +68865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,8.209266941,1 +68866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.466486414,1 +68867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.896550943,1 +68868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.00959768,1 +68869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.106169682,1 +68870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.311627487,1 +68871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.917649472,1 +68872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.134442715,1 +68873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.737924937,1 +68874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.796364566,1 +68877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.358713877,1 +68878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.879579644,1 +68876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.927427804,1 +68875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.038644305,1 +68879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.441222541,1 +68880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.374804796,1 +68881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.774954334,1 +68883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.776721098,1 +68882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.802393012,1 +68884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.590181558,1 +68885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.336952355,1 +68886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.803366017,1 +68888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.904773396,1 +68887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.677991363,1 +68889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.527035733,1 +68890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.197992614,1 +68892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.246649243,1 +68891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.487838704,1 +68893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.75077125,1 +68894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,7.019170733,1 +68896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.426196485,1 +68897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.583888286,1 +68898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.873353973,1 +68895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.933494456,1 +68899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.026001049,1 +68900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.397168272,1 +68901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.321336105,1 +68903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.092634054,1 +68904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.475069508,1 +68905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.820089323,1 +68902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.248303922,1 +68907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.323567231,1 +68906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.060981611,1 +68908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.511655113,1 +68909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.612183441,1 +68911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.407682428,1 +68910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.657351972,1 +68912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.893709567,1 +68913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.037656003,1 +68914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.792924285,1 +68915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.929718242,1 +68916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.610129113,1 +68919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.382817472,1 +68918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.285028197,1 +68920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.475134319,1 +68917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.559646788,1 +68922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.168754402,1 +68921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.926497479,1 +68924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.097739568,1 +68923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.873032767,1 +68925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.619215006,1 +68926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.486481955,1 +68927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.563098884,1 +68928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.448730177,1 +68929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.707128806,1 +68930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.767912164,1 +68932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.226005792,1 +68931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.723619466,1 +68933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.028434932,1 +68934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.971574725,1 +68935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.850750397,1 +68937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.009698374,1 +68939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.922418136,1 +68938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.318329838,1 +68936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.308380272,1 +68940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.991411067,1 +68941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.385876285,1 +68942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.669172609,1 +68943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.309682397,1 +68944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.307361177,1 +68946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.29599376,1 +68945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.199078868,1 +68947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.643874984,1 +68948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.505707316,1 +68949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.280284223,1 +68950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.610833257,1 +68951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.428609845,1 +68953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.868822893,1 +68952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.030706801,1 +68954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.211189075,1 +68955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.436666804,1 +68957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.353203099,1 +68958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.306662533,1 +68959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.465812628,1 +68956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.890086602,1 +68961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.060846841,1 +68960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.770915055,1 +68962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.413449184,1 +68964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.885012853,1 +68966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.518622998,1 +68965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,1.670246283,1 +68963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.436545678,1 +68968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.351589106,1 +68969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.990517059,1 +68970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.652463417,1 +68967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.46970649,1 +68971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.964200028,1 +68972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.678149849,1 +68974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.497254217,1 +68973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.150138852,1 +68975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.248384269,1 +68977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.4318011,1 +68976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.295348197,1 +68979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.061543605,1 +68980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.468193137,1 +68978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.926400326,1 +68981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.788228714,1 +68984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.599747154,1 +68983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,7.73529756,1 +68982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.808022743,1 +68985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.109652978,1 +68986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.285640875,1 +68987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,5.584160001,1 +68988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,7.798138718,1 +68989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.028806329,1 +68990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.799591089,1 +68991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.593497403,1 +68992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,2.29730805,1 +68993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,0.700291641,1 +68995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.676894052,1 +68996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.859420828,1 +68994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.298800253,1 +68997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.399432766,1 +68998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,3.180703171,1 +68999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,4.724726603,1 +69000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,9,1,6.274523647,1 +78001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.860699523,1 +78003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.349001562,1 +78002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.679164068,1 +78005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.754462377,1 +78006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.590610964,1 +78004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.506400616,1 +78007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.34277808,1 +78008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.114218057,1 +78009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.74397561,1 +78010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.525819555,1 +78011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.39090684,1 +78012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.336349808,1 +78013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.455258104,1 +78014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.976078204,1 +78015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.619222418,1 +78017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.325592806,1 +78016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.079410105,1 +78019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.227452687,1 +78020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.315976083,1 +78018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.628949262,1 +78021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.806706453,1 +78022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.739301671,1 +78023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.517531907,1 +78025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.575599023,1 +78024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.882692427,1 +78026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.616672099,1 +78027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.11965998,1 +78028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.408686333,1 +78030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.724562328,1 +78029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.814376425,1 +78031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.583113081,1 +78032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.552933736,1 +78033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.104316279,1 +78036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.359876094,1 +78035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.540313969,1 +78034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.46995721,1 +78037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.873693901,1 +78038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.745758304,1 +78039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.179851435,1 +78040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.038852682,1 +78041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.785212253,1 +78042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.57118781,1 +78043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.256691358,1 +78044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.135791056,1 +78045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.379749512,1 +78046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.623096799,1 +78048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.687506576,1 +78047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.752109527,1 +78049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.660665574,1 +78050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.99403145,1 +78051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.574108882,1 +78052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.548835234,1 +78053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.410901698,1 +78054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.588728759,1 +78056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.982740966,1 +78055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.942657866,1 +78057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.664524087,1 +78058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,1.948660793,1 +78059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.98979229,1 +78060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.740416337,1 +78061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.109556041,1 +78062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.106977873,1 +78063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.305950607,1 +78065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.477712793,1 +78066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.461371454,1 +78067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.473609263,1 +78068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.199547321,1 +78069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.119458568,1 +78064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.304374268,1 +78071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.448567143,1 +78070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.496734735,1 +78072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.03433658,1 +78073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.710604067,1 +78075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.650229763,1 +78076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.589027854,1 +78074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.450856355,1 +78077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.817933615,1 +78078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.649858252,1 +78080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.336237405,1 +78079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.22649688,1 +78082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.064506692,1 +78083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.683667406,1 +78084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.472977478,1 +78085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,1.877271394,1 +78086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.010594452,1 +78087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.394278412,1 +78081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.356551468,1 +78088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.883837443,1 +78089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.406934568,1 +78090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.522519372,1 +78092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.625696629,1 +78093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.801122625,1 +78091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.915811996,1 +78094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.202007127,1 +78095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.271473221,1 +78096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.248908764,1 +78097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.092281652,1 +78098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.102374709,1 +78099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.921954048,1 +78100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.185094467,1 +78101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.967445244,1 +78102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.653481866,1 +78103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.915047446,1 +78104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.046125817,1 +78106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.362788988,1 +78108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.480823499,1 +78107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.23378748,1 +78105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.473386011,1 +78109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.681483651,1 +78110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.866769477,1 +78111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.975938941,1 +78112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,1.993983397,1 +78113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,1.330941939,1 +78114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.795851345,1 +78115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.010028686,1 +78117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.667298763,1 +78116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.462107989,1 +78118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.595134068,1 +78119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.033564918,1 +78120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.923548209,1 +78121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.314755905,1 +78122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.240157592,1 +78123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.963101347,1 +78124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.643729495,1 +78127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.541007898,1 +78125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.74435914,1 +78126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,1.32783352,1 +78129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.834728223,1 +78131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.540934111,1 +78130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.250005266,1 +78128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.620461144,1 +78132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.456778217,1 +78133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.870866977,1 +78134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.766421389,1 +78135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.484906684,1 +78136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.1835797,1 +78138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.506904397,1 +78137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.908528159,1 +78139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.530400092,1 +78140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.480072384,1 +78143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.564715938,1 +78142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.578192982,1 +78141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.179404285,1 +78144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.951211593,1 +78146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.678909352,1 +78147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.526820398,1 +78148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.617480395,1 +78149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.992415459,1 +78150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.29492159,1 +78145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.843424638,1 +78151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.328255544,1 +78154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.125120136,1 +78152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.077986279,1 +78153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.423066865,1 +78156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.893447171,1 +78157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.163429598,1 +78155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.717772215,1 +78158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.755099249,1 +78160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.906215079,1 +78159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.414705402,1 +78161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.568742868,1 +78162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.157301365,1 +78163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.809726727,1 +78165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.575816898,1 +78164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.576776342,1 +78168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.623641731,1 +78166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.926103871,1 +78167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.26865221,1 +78169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.062519426,1 +78170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,1.851262439,1 +78171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.221682151,1 +78172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.586036418,1 +78173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,1.461946942,1 +78174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.199970322,1 +78175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.58145277,1 +78176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.879922779,1 +78177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.94957764,1 +78178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.345010918,1 +78180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.09360363,1 +78179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.195159131,1 +78182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.778190328,1 +78181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.498884575,1 +78183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.723225549,1 +78184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.489835209,1 +78185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.162001346,1 +78186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.343321161,1 +78187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.076858235,1 +78189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.203869324,1 +78188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.745451275,1 +78190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.649599786,1 +78192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.259656969,1 +78191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.069772998,1 +78193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.706781325,1 +78194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.551616055,1 +78195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.974627986,1 +78196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.149774929,1 +78198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.912616315,1 +78197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.466618112,1 +78199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.234504377,1 +78200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.645462139,1 +78202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.780499302,1 +78203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.167190093,1 +78204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.931853182,1 +78205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.173386389,1 +78206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.826813574,1 +78201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.067436732,1 +78207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.890446832,1 +78208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.302485915,1 +78209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.354953999,1 +78211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.392455728,1 +78212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.035383954,1 +78210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.770566788,1 +78213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,9.170590042,1 +78214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.778567615,1 +78216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.816552693,1 +78215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.664489188,1 +78217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.440218976,1 +78218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.466667425,1 +78219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.316987893,1 +78220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.556760702,1 +78221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.938091551,1 +78222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.745627852,1 +78224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.031440038,1 +78225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.233517061,1 +78226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.11550114,1 +78227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.475042782,1 +78228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.669421958,1 +78223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.402886456,1 +78229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.709658549,1 +78232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.6372946,1 +78231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,1.991289135,1 +78230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.91198566,1 +78233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.94949364,1 +78234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.594466791,1 +78235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.325144617,1 +78236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.110682968,1 +78237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.525780528,1 +78239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.893047345,1 +78240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.077778106,1 +78238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.436450042,1 +78241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.990106103,1 +78242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.319313086,1 +78243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.809347486,1 +78245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.346580219,1 +78247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.459676473,1 +78246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,1.564854257,1 +78244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.770011358,1 +78248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.958624827,1 +78249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.253291967,1 +78250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.037551917,1 +78251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.422784098,1 +78252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.173525896,1 +78253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.854968811,1 +78254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.427371558,1 +78255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.959445583,1 +78256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.204138785,1 +78257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.542175012,1 +78258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.87409848,1 +78260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.620298721,1 +78261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.482101048,1 +78259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.603531612,1 +78262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.627451397,1 +78263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.92435569,1 +78265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.913364125,1 +78264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.986385432,1 +78266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.591371324,1 +78267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.24001846,1 +78269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.16430451,1 +78268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.603951974,1 +78270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.062409261,1 +78271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.317621578,1 +78272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.225167098,1 +78274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.722927466,1 +78273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.595128021,1 +78276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.23805267,1 +78277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.820842313,1 +78279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.761888489,1 +78280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.829595693,1 +78275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.702189256,1 +78278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.009458437,1 +78281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.4087374,1 +78282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.965916312,1 +78284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.638495549,1 +78285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.727747769,1 +78283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.520040489,1 +78286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.534466551,1 +78287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.071182528,1 +78289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.538987297,1 +78291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.788149079,1 +78290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.630327413,1 +78288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.333833726,1 +78292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.328653184,1 +78294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.140876581,1 +78295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,8.031214971,1 +78296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.533530747,1 +78297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,1.972084533,1 +78298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.080301351,1 +78293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.318580764,1 +78301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.630922374,1 +78300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.848455269,1 +78302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.673089166,1 +78303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.749678195,1 +78299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.78889277,1 +78304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.977026796,1 +78305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.089432086,1 +78306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.308054694,1 +78308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.71215906,1 +78307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.841983194,1 +78310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.672170612,1 +78311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.172727755,1 +78312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.176766906,1 +78313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.469299282,1 +78309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.394231649,1 +78314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.249748434,1 +78315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.194615233,1 +78317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.560847706,1 +78319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.576862586,1 +78316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,1.984826765,1 +78318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.35758039,1 +78320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.623642431,1 +78322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.841964111,1 +78321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.358670326,1 +78323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.852889769,1 +78324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.695000049,1 +78325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.972426377,1 +78326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.503552764,1 +78328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,1.70251881,1 +78329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.603485314,1 +78330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.178952276,1 +78331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.559107996,1 +78327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.469723612,1 +78333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.75604018,1 +78335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.389714391,1 +78332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.691965626,1 +78334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.123646996,1 +78337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,1.774035671,1 +78336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.749140374,1 +78338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.147973144,1 +78339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.952639241,1 +78340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.036550833,1 +78341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.137413133,1 +78342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.901187217,1 +78343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.692975144,1 +78346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.401847208,1 +78345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.713932344,1 +78347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.236395005,1 +78349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.19027968,1 +78350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.191967422,1 +78344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.830411638,1 +78348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.005277121,1 +78353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.819651796,1 +78351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.065371644,1 +78354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,1.885905946,1 +78352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.06472259,1 +78355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.92241939,1 +78356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.693629645,1 +78357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.142577765,1 +78358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.011978828,1 +78359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.980578865,1 +78360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.40394039,1 +78361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.925138794,1 +78362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.545150776,1 +78364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.384477724,1 +78366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.17745346,1 +78365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.370539869,1 +78367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.498512062,1 +78363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.592710237,1 +78368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.442032339,1 +78369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.014907251,1 +78370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.016365736,1 +78371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.281356809,1 +78372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.450887251,1 +78373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.68151546,1 +78374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.013930491,1 +78375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.121386092,1 +78377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.715199527,1 +78376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.38877644,1 +78378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.353626106,1 +78381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.577284415,1 +78380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.183174442,1 +78382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.432775151,1 +78379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.025994726,1 +78384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.886943297,1 +78383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.034483865,1 +78385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.120868249,1 +78386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.11145475,1 +78387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.129782416,1 +78388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.127709489,1 +78389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.796992681,1 +78391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.384413392,1 +78390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.329007214,1 +78392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.516677476,1 +78393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.681917568,1 +78394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.635265024,1 +78396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.302893393,1 +78395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.803969342,1 +78397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.338189486,1 +78398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.431434857,1 +78399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.111356302,1 +78400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.660271538,1 +78401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.801395334,1 +78402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.730785575,1 +78403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.170045789,1 +78404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.162025003,1 +78405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.633881895,1 +78406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.426247387,1 +78407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.482469849,1 +78409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.091064881,1 +78410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.954745355,1 +78408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.085823332,1 +78411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.66863133,1 +78412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.820775782,1 +78413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.616520979,1 +78415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.145063661,1 +78414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.559917452,1 +78416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.97586072,1 +78417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.242578175,1 +78418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.98858155,1 +78420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,1.797317813,1 +78421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.594777961,1 +78422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.842294513,1 +78419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.299405811,1 +78423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,1.655561233,1 +78424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.212213895,1 +78425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.589727606,1 +78427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.190778524,1 +78428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.017208437,1 +78426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.49449532,1 +78429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.984054852,1 +78430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,1.814610047,1 +78431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.430315563,1 +78433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,1.605703839,1 +78432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.806365794,1 +78434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.912887415,1 +78435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.492250263,1 +78436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.30984557,1 +78438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,1.588436271,1 +78439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.70406293,1 +78440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.598040439,1 +78441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.807749829,1 +78442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.776090265,1 +78443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.087876542,1 +78437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.605112073,1 +78444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.682721778,1 +78445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.721493287,1 +78446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.651459432,1 +78447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.506525436,1 +78448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.664239924,1 +78449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.730538054,1 +78450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.002123156,1 +78451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.751380777,1 +78452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.497787536,1 +78453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.714708158,1 +78454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,1.981304776,1 +78456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.555705693,1 +78457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.265302215,1 +78455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.40983706,1 +78458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.610293142,1 +78459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.652178089,1 +78460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.6986827,1 +78461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.095627082,1 +78462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.67698102,1 +78463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.108146915,1 +78464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.152950113,1 +78465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.294571281,1 +78466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.280828549,1 +78467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.615611398,1 +78468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.514283881,1 +78470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.922744718,1 +78471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.37889769,1 +78469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.579173934,1 +78472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.104058247,1 +78473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.59207101,1 +78474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.554715658,1 +78475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.453666243,1 +78477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.096953723,1 +78476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.194593948,1 +78478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.634464797,1 +78479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.697802566,1 +78480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.588225407,1 +78481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.504730271,1 +78482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.422475286,1 +78484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.074597781,1 +78483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.232862941,1 +78485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.09010073,1 +78486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.368930431,1 +78488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.272137793,1 +78489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.692092438,1 +78487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.039452368,1 +78490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.935329574,1 +78491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.768608588,1 +78492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.058478711,1 +78493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.16189731,1 +78494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.852579167,1 +78496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.889205538,1 +78495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.37216985,1 +78497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.001288685,1 +78498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.448779465,1 +78499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.193486763,1 +78501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.131511988,1 +78502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,9.509054987,1 +78500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.689024429,1 +78503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.550176066,1 +78504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.408945464,1 +78505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.258498344,1 +78507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.038286687,1 +78508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.587245071,1 +78509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.946193585,1 +78506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.723305312,1 +78510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.323400922,1 +78511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.928353042,1 +78512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,7.121197832,1 +78514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.733283471,1 +78515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,1.510787083,1 +78516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.648476332,1 +78513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.018084529,1 +78517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.242440555,1 +78519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.882589792,1 +78518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.367734332,1 +78520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.886258925,1 +78523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.500546453,1 +78521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.124523585,1 +78522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.411430058,1 +78524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.157803604,1 +78525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.305433175,1 +78526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.597166096,1 +78527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.513464249,1 +78529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.951702938,1 +78530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.812945862,1 +78531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.15737547,1 +78532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.849571847,1 +78528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.683258767,1 +78533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.304974081,1 +78534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.9428426,1 +78536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.320797949,1 +78535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.035068592,1 +78538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.860077091,1 +78537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.884235426,1 +78540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,1.946722608,1 +78539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,7.117600581,1 +78541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.189170987,1 +78542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.781703294,1 +78543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.916793096,1 +78544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.361607121,1 +78545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.708194198,1 +78546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.356540743,1 +78547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.385068639,1 +78549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.57722582,1 +78550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.955821761,1 +78548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.334582258,1 +78552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.262572375,1 +78551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.148703627,1 +78553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.22574416,1 +78555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.999820354,1 +78554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.83547916,1 +78556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.317806209,1 +78557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.241649693,1 +78558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.280365859,1 +78559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.103342022,1 +78560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.663359156,1 +78561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.153048173,1 +78562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.669593689,1 +78564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,7.587148241,1 +78565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.490868328,1 +78563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.649439853,1 +78566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.691991807,1 +78567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.408511188,1 +78568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,1.901250442,1 +78570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,8.347979919,1 +78571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.114213889,1 +78569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.066376214,1 +78572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,1.82646458,1 +78574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.033762852,1 +78573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.469494973,1 +78575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.477096419,1 +78576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.35503192,1 +78577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.003801343,1 +78578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.032651715,1 +78580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.256627077,1 +78579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.217171823,1 +78582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.679683926,1 +78583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.113274961,1 +78584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.040096037,1 +78585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.174834511,1 +78586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.308444253,1 +78581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.386837411,1 +78587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.320553024,1 +78588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.059678256,1 +78589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.204565839,1 +78590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.746580211,1 +78591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.792615152,1 +78592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.186691606,1 +78593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.568780509,1 +78594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.798890805,1 +78596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.540523453,1 +78597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.939282917,1 +78595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.635030022,1 +78598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.339601518,1 +78599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.976204426,1 +78600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.344116177,1 +78601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.094164654,1 +78602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.966485476,1 +78603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.191234772,1 +78604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.03548239,1 +78605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.144090143,1 +78606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.936000509,1 +78607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.749611783,1 +78608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.955748091,1 +78609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.878425906,1 +78610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.267307819,1 +78611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.221508571,1 +78613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.893231416,1 +78612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.549139516,1 +78614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.670960699,1 +78615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.280576531,1 +78616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.374755096,1 +78618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.808023109,1 +78617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.735905035,1 +78619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.251285139,1 +78620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.294416633,1 +78621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.270202032,1 +78622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.710725491,1 +78623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.204637769,1 +78626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.250554936,1 +78624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.549275304,1 +78627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.739985158,1 +78625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.899770025,1 +78629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.256853309,1 +78628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.389485479,1 +78630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.502412147,1 +78631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.231708327,1 +78632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.533755712,1 +78633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.740155571,1 +78634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.646990004,1 +78635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.921704628,1 +78636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.86992517,1 +78637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.791514799,1 +78639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.530019318,1 +78638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.442063476,1 +78642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.292810211,1 +78643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,1.995443972,1 +78640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.979381248,1 +78644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.018456047,1 +78641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.354041638,1 +78645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.866216623,1 +78646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.477137994,1 +78647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.248459737,1 +78649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.885682983,1 +78650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.886989442,1 +78648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.685508914,1 +78651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.555551265,1 +78652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.995016899,1 +78653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.979442588,1 +78655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.410249071,1 +78656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.01858005,1 +78657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.828597839,1 +78654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.383237109,1 +78660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.38416589,1 +78658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.705726107,1 +78661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.35745751,1 +78659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.268925721,1 +78662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.213074471,1 +78663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.623916303,1 +78665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.401888599,1 +78666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.02387153,1 +78667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.613122922,1 +78668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,1.836837069,1 +78664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.025868485,1 +78670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.55065811,1 +78669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.056079021,1 +78671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.481925624,1 +78672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.317757628,1 +78675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.210879366,1 +78673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.730426287,1 +78676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.060033039,1 +78674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.603465923,1 +78677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.792804862,1 +78678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.869131157,1 +78679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.446696344,1 +78680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.607892454,1 +78681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.942216772,1 +78682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.80807834,1 +78684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.825156747,1 +78685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.175010501,1 +78686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.090934709,1 +78687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.541832231,1 +78683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.518029888,1 +78689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.317259914,1 +78688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.500462795,1 +78690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.857410068,1 +78691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.60708422,1 +78692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.255295025,1 +78693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.577956493,1 +78695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,7.344255928,1 +78694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.461192984,1 +78696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.416187614,1 +78697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.71096758,1 +78698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.118574038,1 +78699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.061201077,1 +78700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.134893143,1 +78701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.205487044,1 +78702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.185249567,1 +78703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.637713813,1 +78704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.975872635,1 +78705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.244691031,1 +78706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.606855474,1 +78707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.596851878,1 +78708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.28871038,1 +78709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.934656812,1 +78710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.11493909,1 +78711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.544667998,1 +78713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.721997037,1 +78712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.047941031,1 +78714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.892226157,1 +78715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.779844711,1 +78717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.742406943,1 +78716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.843664201,1 +78718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.011163905,1 +78722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.508317844,1 +78721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.973249009,1 +78719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.513557112,1 +78720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.465865779,1 +78723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.796433851,1 +78725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.541786262,1 +78724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.750553404,1 +78727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.041397799,1 +78729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,8.317397907,1 +78728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.056398659,1 +78726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.004658186,1 +78730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.741307563,1 +78731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.395109611,1 +78732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.445174296,1 +78733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.339035857,1 +78734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.961689482,1 +78736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.902233658,1 +78737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.994018633,1 +78735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.425122772,1 +78738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.871358125,1 +78741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.516749751,1 +78742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.040475352,1 +78739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.02559447,1 +78740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.184267815,1 +78743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.538447839,1 +78744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.199227372,1 +78745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.112865153,1 +78747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.696265006,1 +78746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.356484107,1 +78748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,7.021415791,1 +78751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.125723996,1 +78749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.76404331,1 +78750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.221160337,1 +78752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.096561356,1 +78753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.588977795,1 +78755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.455106488,1 +78756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.564862771,1 +78754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.384596099,1 +78757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.523637603,1 +78758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.042281282,1 +78759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.108375313,1 +78760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.102802268,1 +78763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.571913281,1 +78764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.077759958,1 +78761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.69392485,1 +78762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.984959008,1 +78767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.019616263,1 +78766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.660075126,1 +78765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.333522261,1 +78769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.74191874,1 +78771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.440012309,1 +78768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.679434195,1 +78770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.440474218,1 +78772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.103917775,1 +78773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.761288902,1 +78775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.426049648,1 +78774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.33956813,1 +78777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.662071805,1 +78778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.429773608,1 +78779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.529379941,1 +78776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.979237705,1 +78782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.032388324,1 +78781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.484654166,1 +78780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.398479132,1 +78784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.561093898,1 +78783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.054112274,1 +78786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.147980435,1 +78787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.59525333,1 +78788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.435002479,1 +78785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.940974497,1 +78789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.444355151,1 +78791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.888486872,1 +78792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.052500554,1 +78793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.987347081,1 +78790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.676374162,1 +78795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.062569675,1 +78796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.716206556,1 +78794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.704041844,1 +78797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.606229743,1 +78798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.702205813,1 +78799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.07977024,1 +78801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.678618458,1 +78800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,1.880475529,1 +78803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.989134717,1 +78804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.087061998,1 +78805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.475682913,1 +78802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.321460696,1 +78806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.933497719,1 +78808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.337412865,1 +78809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.356829463,1 +78807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.536609013,1 +78810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.921231432,1 +78812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.354540918,1 +78811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.183775267,1 +78813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.084656783,1 +78814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.01344571,1 +78815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.851862108,1 +78817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.684020704,1 +78818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.986079041,1 +78816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.121023991,1 +78820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.454110578,1 +78821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.967391216,1 +78822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.687315919,1 +78819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.869803885,1 +78823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.869281807,1 +78825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.28315275,1 +78826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.482408425,1 +78824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.95584186,1 +78827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.635677914,1 +78830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.618368017,1 +78829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.192637818,1 +78828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.071883464,1 +78831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.151291059,1 +78833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.885121831,1 +78832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.534618972,1 +78835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.820500902,1 +78836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.751413453,1 +78837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.628390325,1 +78834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.420941344,1 +78838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.671782739,1 +78840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.44610173,1 +78842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.638461823,1 +78841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.770886717,1 +78839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,1.458803483,1 +78843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.042559198,1 +78844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.956985289,1 +78845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.915787769,1 +78846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.421279583,1 +78847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.432878092,1 +78848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.504596087,1 +78850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.961832868,1 +78851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.230350434,1 +78852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.955868241,1 +78849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.27228088,1 +78853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.195836896,1 +78854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.479805803,1 +78855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.294676999,1 +78857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.084851548,1 +78856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.90531818,1 +78858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.096001097,1 +78860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.192114473,1 +78859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.424981629,1 +78862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.147028173,1 +78861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.364635802,1 +78863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.429797132,1 +78864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.306069697,1 +78865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.40447109,1 +78868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,1.437422676,1 +78867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.387951779,1 +78869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.942374437,1 +78866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.753613593,1 +78870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.114576904,1 +78872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.185336912,1 +78871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.626630046,1 +78873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,7.442402786,1 +78875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.219983164,1 +78876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.271224556,1 +78874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.037639845,1 +78877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.726155983,1 +78879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,1.674195079,1 +78878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.271272341,1 +78880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.691817844,1 +78881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.390560344,1 +78882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.488733968,1 +78883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.020548081,1 +78884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.136924696,1 +78887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.317954082,1 +78885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.239272628,1 +78888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,1.84097815,1 +78886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.434034287,1 +78889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.087350427,1 +78890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.217798295,1 +78891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.223459598,1 +78892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.96037229,1 +78893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.782200434,1 +78894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.988545846,1 +78895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.268373666,1 +78896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.145137083,1 +78897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,1.988906847,1 +78899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.342212249,1 +78900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.836705811,1 +78898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.938078251,1 +78901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.554901638,1 +78902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.000777587,1 +78903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.692840069,1 +78904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.53797491,1 +78905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.484324989,1 +78906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.662114335,1 +78907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.846008378,1 +78908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.843505678,1 +78909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.368518146,1 +78910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.57018041,1 +78911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.806350566,1 +78912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.907386526,1 +78913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.915263575,1 +78914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.266148544,1 +78915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.613455888,1 +78918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.174490857,1 +78916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.359275428,1 +78917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.846515379,1 +78919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.883346673,1 +78920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.229752611,1 +78922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.810419879,1 +78921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.235704222,1 +78923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.770439992,1 +78924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.047955381,1 +78925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,8.590556694,1 +78926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.966562281,1 +78927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.666366775,1 +78928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.275749993,1 +78929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.564683892,1 +78931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.742742408,1 +78932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.112097981,1 +78930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,7.257768459,1 +78933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.885342131,1 +78934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.746045347,1 +78935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.431963924,1 +78938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.281547066,1 +78937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.508985724,1 +78939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.113194339,1 +78936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.991149476,1 +78940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.927788672,1 +78941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.63661611,1 +78942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.166587539,1 +78943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.0796009,1 +78944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.790357368,1 +78945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.929195717,1 +78946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.454367342,1 +78947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.944639164,1 +78948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.880436522,1 +78949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.061318024,1 +78950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.795422832,1 +78951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.909412625,1 +78953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.884680106,1 +78952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.089637477,1 +78954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.493697127,1 +78956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.773467152,1 +78957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.207759216,1 +78958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,1.58096958,1 +78959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.187578441,1 +78960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.831333671,1 +78961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.685059819,1 +78955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,1.391483348,1 +78963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.529701007,1 +78962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.197257445,1 +78965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.042568478,1 +78964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.006299813,1 +78966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.063291642,1 +78967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.216702232,1 +78968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.986471071,1 +78969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.303312754,1 +78970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.88168653,1 +78971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.518390474,1 +78973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.627187318,1 +78972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.257947296,1 +78975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.808970459,1 +78974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,1.097648889,1 +78976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.610208589,1 +78978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.723093799,1 +78979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.173788754,1 +78980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.069816357,1 +78977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.900329638,1 +78981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.790187743,1 +78982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.99001994,1 +78983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,6.356339725,1 +78984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.173523087,1 +78985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,1.428102405,1 +78986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.116983996,1 +78987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.62365124,1 +78988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.541770087,1 +78989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.33332344,1 +78990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.376668261,1 +78991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.315931044,1 +78993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.999325102,1 +78994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.467921207,1 +78992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.739082583,1 +78995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.873491183,1 +78997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.082617057,1 +78999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,2.827653297,1 +78998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,4.267671375,1 +79000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,5.191533626,1 +78996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,9,1,3.571613387,1 +88001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.5143648,1 +88003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.776978001,1 +88004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.808546165,1 +88005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.40269285,1 +88002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.429689861,1 +88006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.178911871,1 +88008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.403451023,1 +88009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.692223799,1 +88007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.533725627,1 +88011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.643022542,1 +88010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.939443528,1 +88012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.18449884,1 +88013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.411929723,1 +88014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.569702756,1 +88015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.118872805,1 +88016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.792897684,1 +88018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.37100651,1 +88017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.640465884,1 +88019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.505834908,1 +88022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.978544647,1 +88020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.805104888,1 +88023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.89752679,1 +88021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.477681214,1 +88025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.6667031,1 +88024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.987982229,1 +88026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.270038163,1 +88027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.765361858,1 +88028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.376355411,1 +88029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.07625023,1 +88030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.930110905,1 +88031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.186069278,1 +88032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.404804224,1 +88033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.093505471,1 +88034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.883464282,1 +88035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.781729538,1 +88037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.323310945,1 +88036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.29216141,1 +88039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.371712286,1 +88038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.449912868,1 +88041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.532492959,1 +88040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.803775452,1 +88042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.42468058,1 +88043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.912691986,1 +88044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.809952391,1 +88045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.571852945,1 +88046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.503828873,1 +88047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.462554686,1 +88048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.469846672,1 +88050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.35233251,1 +88051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.626282102,1 +88049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.585280049,1 +88052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.970649554,1 +88054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.207318533,1 +88053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.31772313,1 +88055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.520929007,1 +88056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.436451604,1 +88057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.595650579,1 +88058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.101886055,1 +88059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.542587222,1 +88060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.833282169,1 +88061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.105363033,1 +88062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.425417163,1 +88063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.484047315,1 +88064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,7.49119442,1 +88065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.871543217,1 +88066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.967625559,1 +88067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.8808611,1 +88068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.453576255,1 +88069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.396836972,1 +88070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.117748768,1 +88071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.620883702,1 +88072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.55335926,1 +88073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.707001028,1 +88074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.937695016,1 +88076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.651934782,1 +88075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.890531533,1 +88077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.943849318,1 +88078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.156439057,1 +88079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.692329705,1 +88081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.738668763,1 +88082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.350827935,1 +88080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.199040494,1 +88083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.931895771,1 +88085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.622260808,1 +88084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.521255167,1 +88086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.479197002,1 +88087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.152095784,1 +88088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.520428545,1 +88089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.452392661,1 +88090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.042021803,1 +88091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.04966747,1 +88092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.719518682,1 +88093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.379930395,1 +88094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.631942685,1 +88095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.529635144,1 +88096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.609450658,1 +88097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.438394667,1 +88098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.263868123,1 +88099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.667261463,1 +88100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.664706781,1 +88101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.674448476,1 +88103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.324385117,1 +88105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.647564998,1 +88104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.791865614,1 +88102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.311522507,1 +88106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.586886835,1 +88107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.82302395,1 +88108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.814025485,1 +88110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.030715445,1 +88111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.959035085,1 +88112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.744782348,1 +88109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.840176524,1 +88116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.999035079,1 +88114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.98046478,1 +88115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.191891382,1 +88113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.960052652,1 +88117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.18839647,1 +88118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.452462182,1 +88120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.96139008,1 +88119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.308857518,1 +88122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.858354207,1 +88123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.02223236,1 +88124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.132146169,1 +88125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.599839723,1 +88121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.819018826,1 +88127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.859146034,1 +88126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.720561221,1 +88128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.203197099,1 +88130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.553872133,1 +88129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.77095572,1 +88131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.375263152,1 +88132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.957212219,1 +88133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.785798452,1 +88134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.604361213,1 +88135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.587483731,1 +88137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.172861577,1 +88136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.608994124,1 +88138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.532167925,1 +88139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.950647382,1 +88140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.629468023,1 +88141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.920305612,1 +88143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.01471162,1 +88144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.676317212,1 +88145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.679973256,1 +88142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.121468464,1 +88146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.535782223,1 +88147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.873614047,1 +88149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.447172492,1 +88148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.330392213,1 +88150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.853457827,1 +88151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.004129905,1 +88152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.032903489,1 +88154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,1.685050111,1 +88153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.678546641,1 +88155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.429746285,1 +88158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.973975784,1 +88156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.605412192,1 +88157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.387794243,1 +88159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.743976732,1 +88160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.817923622,1 +88162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.529354372,1 +88163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.391982456,1 +88161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.985047578,1 +88164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.774943247,1 +88165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.5018123,1 +88166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.045898467,1 +88167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.640340189,1 +88168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.58785429,1 +88169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.308524098,1 +88170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.412697186,1 +88172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.505151302,1 +88171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.440052984,1 +88173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.270926283,1 +88174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.378019147,1 +88175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.038899758,1 +88178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.268077041,1 +88176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.928730518,1 +88177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.924867854,1 +88179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.080178966,1 +88180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.688001717,1 +88182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.642235073,1 +88181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.064982149,1 +88184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.380018859,1 +88183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.975110085,1 +88185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.385963597,1 +88188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.582800048,1 +88186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.014140568,1 +88187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.641617008,1 +88189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.655998034,1 +88191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.294577694,1 +88190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.461717121,1 +88192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.013888077,1 +88194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.646667826,1 +88196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.137818479,1 +88193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.923306815,1 +88197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.022059911,1 +88198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.275436955,1 +88199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.705168246,1 +88200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.028950349,1 +88195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.258132582,1 +88201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.763056175,1 +88202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.783763119,1 +88203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.798030622,1 +88205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.26718207,1 +88206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.835493528,1 +88204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,1.97399349,1 +88207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.965391029,1 +88209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.92623572,1 +88210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.990588209,1 +88208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.632275364,1 +88211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.143720832,1 +88212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.348166451,1 +88213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.620077101,1 +88215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.472109304,1 +88214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.775652778,1 +88216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.225081394,1 +88218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.629972641,1 +88219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.427157587,1 +88220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.54343642,1 +88222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.028874938,1 +88217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,1.656875129,1 +88221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.696438351,1 +88223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.645617648,1 +88225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.364723669,1 +88224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.838103969,1 +88226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.359942885,1 +88227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.574231025,1 +88228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.225581189,1 +88230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.925256766,1 +88229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.442102993,1 +88231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.146230779,1 +88233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,1.747929819,1 +88232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.361371425,1 +88235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.878518249,1 +88234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.125550175,1 +88239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.481495296,1 +88236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.487743818,1 +88237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.502461627,1 +88238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.367874062,1 +88240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.627554459,1 +88241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.35760022,1 +88242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.928720014,1 +88244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.46826467,1 +88243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.420964907,1 +88245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.931763053,1 +88247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.111479912,1 +88246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.319977191,1 +88248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.448342716,1 +88249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.356322426,1 +88250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.008450188,1 +88252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.488612698,1 +88251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.674244797,1 +88253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.68167225,1 +88255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.460343417,1 +88254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.497283278,1 +88256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.593973883,1 +88257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.753728853,1 +88258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.800228594,1 +88259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.63444198,1 +88261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.592533365,1 +88262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.112852797,1 +88260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.846739966,1 +88263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.519798803,1 +88264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,1.652923109,1 +88265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.439057056,1 +88266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,1.869819273,1 +88267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.492430325,1 +88269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.111161762,1 +88268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.230162825,1 +88271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.887115794,1 +88270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.64689223,1 +88273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.553710426,1 +88272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.066677641,1 +88274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.660532306,1 +88275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.917026824,1 +88276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,7.936374304,1 +88277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.564427083,1 +88278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.930295891,1 +88279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.633786336,1 +88280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.50763611,1 +88281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.40736456,1 +88282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.802203686,1 +88283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.389461206,1 +88285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.200425037,1 +88284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.588256083,1 +88286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.149877557,1 +88288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.913705685,1 +88289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.502414892,1 +88287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.173579346,1 +88291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.267137434,1 +88292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.405419491,1 +88290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.675137232,1 +88293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.779878784,1 +88294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.52946715,1 +88295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.21492287,1 +88297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.012950747,1 +88296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.418427981,1 +88298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.850771854,1 +88299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.659789052,1 +88301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.760029327,1 +88300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,8.040831627,1 +88302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.949775742,1 +88303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.174866518,1 +88305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.029187288,1 +88307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.215034278,1 +88306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.958967748,1 +88304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.361601266,1 +88308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.070280054,1 +88309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.90827749,1 +88310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.929347665,1 +88312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.761898432,1 +88311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.485392608,1 +88314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.261608916,1 +88313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.950475986,1 +88316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.573988436,1 +88317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.176444308,1 +88315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.390927523,1 +88318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.635386823,1 +88319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.224295991,1 +88320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.102037564,1 +88321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.672505011,1 +88322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.813712206,1 +88324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.794600872,1 +88325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.702550925,1 +88326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.688472792,1 +88323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.300263982,1 +88327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.946255118,1 +88328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.631364271,1 +88329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.559488903,1 +88330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.619122414,1 +88331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.591004416,1 +88332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.551302771,1 +88333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.19159846,1 +88335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,7.364645311,1 +88334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.67612456,1 +88337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.855853268,1 +88336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.555647333,1 +88338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.954714428,1 +88339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.010599619,1 +88340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.942348604,1 +88341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.572002358,1 +88342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.899481067,1 +88343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.952417258,1 +88344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.948322516,1 +88346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.852529268,1 +88347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.924389108,1 +88348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.218374485,1 +88345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.224074704,1 +88349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.657245183,1 +88350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.05791512,1 +88351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.475766092,1 +88352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.487025781,1 +88353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.866584384,1 +88354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.710270224,1 +88355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.484483869,1 +88357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.485024539,1 +88356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.753280604,1 +88358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.920986917,1 +88359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.788463996,1 +88361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.792301476,1 +88360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.921753766,1 +88362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.053448324,1 +88363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.871443068,1 +88365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.281475085,1 +88366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.286242399,1 +88367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.975046352,1 +88368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.290498666,1 +88364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.026522056,1 +88369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.632388062,1 +88370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.836457967,1 +88371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.464085115,1 +88373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.96657829,1 +88372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.661025202,1 +88374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.581888503,1 +88375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.101223184,1 +88376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.438478007,1 +88378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.674406297,1 +88377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.572275305,1 +88379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.194891988,1 +88380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.059891812,1 +88381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.290992924,1 +88383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.315538659,1 +88384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.366116209,1 +88385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.545132295,1 +88386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.888799811,1 +88382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.560839375,1 +88387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.435764879,1 +88388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.374347611,1 +88389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.407832922,1 +88390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.259914861,1 +88391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.127656887,1 +88392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.908079152,1 +88393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.587451913,1 +88395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.827217004,1 +88394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.35508436,1 +88396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,7.171562522,1 +88397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.915014848,1 +88398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.396376134,1 +88400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.067349856,1 +88401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.658475089,1 +88399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.445327669,1 +88402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,1.865560204,1 +88404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.362117037,1 +88403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.930069674,1 +88406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,1.484803576,1 +88407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.393643209,1 +88405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.273721977,1 +88408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.682218514,1 +88411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.186829492,1 +88409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.63138257,1 +88410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.588364101,1 +88412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.95386032,1 +88413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.415161339,1 +88414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.830185641,1 +88415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.216656475,1 +88416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.136686026,1 +88418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.096428621,1 +88417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.960542626,1 +88419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.245261723,1 +88420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,7.747069071,1 +88422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.175636934,1 +88421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.697147452,1 +88423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.590974951,1 +88425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.016040814,1 +88426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.996223242,1 +88424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.11694712,1 +88427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.836706313,1 +88428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.714932602,1 +88429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.934743323,1 +88431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.904882234,1 +88430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.386864423,1 +88432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.179016493,1 +88433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.674950513,1 +88434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.142419907,1 +88435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.934546299,1 +88437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.451242811,1 +88436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.996040174,1 +88438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.834275666,1 +88439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.084956551,1 +88440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.624748352,1 +88441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.237551747,1 +88442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.333143468,1 +88444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.094254658,1 +88445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.035592501,1 +88446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.367106572,1 +88443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.639058512,1 +88447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.950544477,1 +88448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.1319867,1 +88449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.344358088,1 +88450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.653621374,1 +88451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.66523317,1 +88452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.391560841,1 +88454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.393448544,1 +88453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.144831811,1 +88455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.898415023,1 +88456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.077965303,1 +88458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.090656423,1 +88457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.261821766,1 +88459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.493717445,1 +88460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.817872859,1 +88461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.727101056,1 +88462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.154042071,1 +88464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.374494085,1 +88465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.226454684,1 +88466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.292893722,1 +88467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.17197658,1 +88463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.987401365,1 +88468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.71334828,1 +88469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.553554464,1 +88470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.755339253,1 +88473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.395280828,1 +88471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.679813418,1 +88472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.209993279,1 +88474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.504984076,1 +88477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.3224952,1 +88475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.007533316,1 +88476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.65858649,1 +88478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.750880492,1 +88480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.138191676,1 +88479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.53340794,1 +88481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.214943542,1 +88482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.01225854,1 +88483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.747884325,1 +88485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.76155868,1 +88486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.714223188,1 +88487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.738509989,1 +88484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.359654304,1 +88488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.828929411,1 +88489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.526966866,1 +88490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.088397917,1 +88493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.877110103,1 +88494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.198295688,1 +88491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.116394526,1 +88492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.96001116,1 +88497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.966830381,1 +88498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.360654576,1 +88496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.777097039,1 +88495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.238699986,1 +88499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.026907292,1 +88501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.792974812,1 +88500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.053854953,1 +88502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.699991301,1 +88504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.537749286,1 +88506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.606593558,1 +88503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.389139276,1 +88505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.714810583,1 +88507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.863448096,1 +88508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.368088825,1 +88510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.83546798,1 +88509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.578579315,1 +88511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.739373009,1 +88512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.442099708,1 +88514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.841281133,1 +88513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.793198144,1 +88515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.648514782,1 +88516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.721822082,1 +88517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,1.997284542,1 +88518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.364422194,1 +88519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.196873226,1 +88520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.432347426,1 +88522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.861937607,1 +88523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.409603397,1 +88524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.991549479,1 +88521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.405147067,1 +88525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.024635418,1 +88526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.740697178,1 +88528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.017292391,1 +88527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.528291211,1 +88530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.229987824,1 +88529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.410287674,1 +88531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.30331747,1 +88532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.907470318,1 +88533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.149443985,1 +88534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.982020647,1 +88535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.104869027,1 +88536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.576460342,1 +88537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.194779027,1 +88538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.151442734,1 +88540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.468238509,1 +88541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.119772508,1 +88542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.449821498,1 +88539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.941874991,1 +88543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.577790641,1 +88546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.140724609,1 +88545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.054766748,1 +88544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.471331067,1 +88547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.954745173,1 +88548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.871747529,1 +88549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.145517871,1 +88550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,1.788127667,1 +88551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.038952906,1 +88552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.857281064,1 +88553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.707665811,1 +88554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.557717274,1 +88555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,8.239967159,1 +88556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.686681473,1 +88558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.451701717,1 +88557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.825836993,1 +88559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.317758202,1 +88560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.959444827,1 +88561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.205959947,1 +88563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.361819834,1 +88564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.102322775,1 +88565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.696929818,1 +88566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,7.108648766,1 +88567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.566613514,1 +88562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.485513578,1 +88568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.069000004,1 +88569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.355952679,1 +88570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.557538364,1 +88572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.7321672,1 +88573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.818444223,1 +88571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.765215977,1 +88575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.819438331,1 +88574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.606290471,1 +88577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.930227718,1 +88576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.798065014,1 +88578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.05020448,1 +88579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.584433493,1 +88580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.55956885,1 +88581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.101780622,1 +88582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.508292858,1 +88583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.29387464,1 +88585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.761487807,1 +88586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.83406226,1 +88587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.753318314,1 +88588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.473980673,1 +88584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.741423119,1 +88590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.847712833,1 +88589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.532115178,1 +88591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.910313541,1 +88592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,7.888455969,1 +88594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.324537868,1 +88593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.621721697,1 +88595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.670642108,1 +88596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.716945424,1 +88597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.692556657,1 +88598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.957064779,1 +88599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.699244716,1 +88602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.320959581,1 +88601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.118858358,1 +88603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.46531198,1 +88600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.683578649,1 +88604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.63505022,1 +88605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.081459669,1 +88607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.820785131,1 +88606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.823822899,1 +88608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.422822915,1 +88609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.481766681,1 +88610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.390666146,1 +88611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.059294853,1 +88612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.154139888,1 +88613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.983029912,1 +88614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.912470799,1 +88616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.823696712,1 +88615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.277079924,1 +88617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.035030005,1 +88618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.501383066,1 +88621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.249278971,1 +88619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.6192747,1 +88620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.789116361,1 +88622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.342361328,1 +88624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.316598759,1 +88623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.481344788,1 +88625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.134385799,1 +88626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.299113597,1 +88627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.919149924,1 +88628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.25938561,1 +88630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.703120656,1 +88631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.839916617,1 +88629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.995100496,1 +88632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.03753157,1 +88633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.74573873,1 +88635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.533350161,1 +88634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.234379308,1 +88636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.121078042,1 +88637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.073874344,1 +88640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.661817593,1 +88639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.284804242,1 +88638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.364171082,1 +88641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.077518987,1 +88642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.419639595,1 +88643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.842179897,1 +88645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.645498083,1 +88644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.890696606,1 +88646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.904191404,1 +88647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.731336064,1 +88648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.36742462,1 +88649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.546931284,1 +88650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.473048957,1 +88651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.713541687,1 +88652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.607303529,1 +88654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.439764374,1 +88655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.591815638,1 +88656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.030619114,1 +88657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.096220982,1 +88653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.903027777,1 +88659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.389763564,1 +88658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.254329958,1 +88660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.725864957,1 +88663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.705323374,1 +88662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.199546966,1 +88661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.946067338,1 +88664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.598217635,1 +88665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.252489963,1 +88667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.958789611,1 +88666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.4180389,1 +88668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.018166279,1 +88669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.210925303,1 +88671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.355286554,1 +88672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.828290085,1 +88670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,8.943717222,1 +88673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.215827895,1 +88674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.406667116,1 +88675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.385710742,1 +88677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.528420104,1 +88678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.018359119,1 +88679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.44434229,1 +88676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.262170147,1 +88680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.935083358,1 +88682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.382250557,1 +88681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.080967079,1 +88683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.749288593,1 +88684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.013516922,1 +88685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.127976712,1 +88686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.40526963,1 +88687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.561953734,1 +88688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.205515455,1 +88689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.520388994,1 +88690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.327891146,1 +88692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.816526019,1 +88693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.619925628,1 +88694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.579895098,1 +88691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.977755567,1 +88697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.143530819,1 +88696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.811703084,1 +88695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,7.321834324,1 +88698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.885572339,1 +88699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.149473326,1 +88700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.089623758,1 +88702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.62730093,1 +88704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.954882807,1 +88703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.249814853,1 +88701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.205371836,1 +88705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.760634412,1 +88706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.185831729,1 +88707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.700616334,1 +88708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.082741536,1 +88709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.909774755,1 +88710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.274484023,1 +88711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,1.914538914,1 +88712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.872318126,1 +88714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.152533801,1 +88713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.552130674,1 +88715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.383025567,1 +88717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.540061257,1 +88718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.782802502,1 +88716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.205542841,1 +88719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.294718134,1 +88720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.442622301,1 +88721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.938243213,1 +88722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.663486153,1 +88723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.931645724,1 +88725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.417618133,1 +88727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.575493176,1 +88724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.502197404,1 +88726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.286694458,1 +88729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.341966899,1 +88730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.772992741,1 +88728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.010447649,1 +88731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.477159454,1 +88733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.634103902,1 +88732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.676128998,1 +88734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.966811654,1 +88735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.07858732,1 +88737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.227936035,1 +88736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.181903003,1 +88739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.091363334,1 +88740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.962459029,1 +88738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.199135537,1 +88741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.461393607,1 +88744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.222813983,1 +88742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.457955996,1 +88743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.878260382,1 +88745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.239653,1 +88748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.279446433,1 +88749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.295347029,1 +88747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.417972623,1 +88746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.974718052,1 +88750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.986587647,1 +88751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.607628819,1 +88752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.926713575,1 +88754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.424982557,1 +88753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.788761262,1 +88755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,7.053138759,1 +88756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.669424311,1 +88758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.174275752,1 +88757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.7596648,1 +88761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.472660224,1 +88759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.537283939,1 +88762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,1.364581209,1 +88760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.495547274,1 +88763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.735680441,1 +88764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.353428589,1 +88765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.68259604,1 +88766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.363506862,1 +88768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.36533568,1 +88767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.127737113,1 +88769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.97303917,1 +88771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.958992899,1 +88772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.351076328,1 +88773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.959888183,1 +88774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.229994719,1 +88770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,1.833529034,1 +88775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.365941782,1 +88776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.801323496,1 +88777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,1.970468225,1 +88778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.049355767,1 +88779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.437653013,1 +88780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.436242196,1 +88781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.660249934,1 +88783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.84210944,1 +88782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.117996411,1 +88787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.025680796,1 +88784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.935747706,1 +88786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.577656871,1 +88785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.119129229,1 +88788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.72890606,1 +88790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.337860272,1 +88791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.834700646,1 +88792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.419701552,1 +88789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.456928318,1 +88793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.490218416,1 +88794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.354131494,1 +88795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.593029646,1 +88797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.042569279,1 +88798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.20690835,1 +88799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.99774404,1 +88796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.233437007,1 +88800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.971627094,1 +88803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.596270178,1 +88801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.221794753,1 +88804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.235477824,1 +88802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.953556082,1 +88805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.214589578,1 +88806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.145899686,1 +88807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.732108833,1 +88808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.513986838,1 +88810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.710946658,1 +88811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.929512871,1 +88812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.028526014,1 +88814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.247021671,1 +88813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.132671864,1 +88815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.927171343,1 +88809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.790933889,1 +88817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.372112574,1 +88818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.753718384,1 +88816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.729387362,1 +88819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.498840428,1 +88820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.968295037,1 +88821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.588265918,1 +88823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.534942024,1 +88822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.71394003,1 +88824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.022432743,1 +88825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.246824967,1 +88826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.787769966,1 +88827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.599789798,1 +88828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.674920115,1 +88829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.76781577,1 +88831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.545045608,1 +88832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.597845115,1 +88833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.448987286,1 +88834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.007418728,1 +88830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.02563087,1 +88835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.555935706,1 +88836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.360748058,1 +88837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.60452876,1 +88838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.286891735,1 +88839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.144017317,1 +88840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.104086738,1 +88841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.962780746,1 +88842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.577830064,1 +88843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.164937816,1 +88844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.677496187,1 +88845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.431418745,1 +88846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.016053531,1 +88848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.222573195,1 +88847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.133283807,1 +88849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.054999961,1 +88850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.077052934,1 +88853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.128731802,1 +88852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.879601161,1 +88854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.474383751,1 +88855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.348787491,1 +88856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.642262044,1 +88857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.282731603,1 +88851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.805472454,1 +88858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.258628639,1 +88859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.063565201,1 +88861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.969453352,1 +88860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.971047041,1 +88862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.454976432,1 +88864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.806720478,1 +88865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.913611411,1 +88863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.770718441,1 +88866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.412590187,1 +88867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.102916003,1 +88868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.327861564,1 +88869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.204095509,1 +88870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.788046676,1 +88872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.460370316,1 +88873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.591566232,1 +88874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.911209095,1 +88871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.511955056,1 +88875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.097295692,1 +88876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.411395801,1 +88878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.100853109,1 +88877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.3486626,1 +88879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.389930855,1 +88880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.917297226,1 +88881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.618381549,1 +88882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.743731828,1 +88883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.510517912,1 +88884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.305016455,1 +88885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.5891416,1 +88886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.338874244,1 +88887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.998508918,1 +88888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.213051797,1 +88890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.346625312,1 +88891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.972259863,1 +88889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.286251995,1 +88893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.546152947,1 +88892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.345523008,1 +88894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.47364896,1 +88895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.986950479,1 +88896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.077665086,1 +88897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.228492283,1 +88898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.09098515,1 +88899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.671203992,1 +88900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.444793794,1 +88901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.444295011,1 +88903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.922145926,1 +88902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.994853302,1 +88904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.009220872,1 +88905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.899681584,1 +88907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.109055877,1 +88908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.451819581,1 +88906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.011991403,1 +88909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.929911828,1 +88910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.755843552,1 +88911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.291173206,1 +88912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.473802701,1 +88913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.25855784,1 +88914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.478906417,1 +88915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.724538759,1 +88916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.482976644,1 +88917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.286729228,1 +88918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.817849893,1 +88919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.31141101,1 +88920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.013611011,1 +88922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.299737911,1 +88923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,1.938432593,1 +88925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.535608551,1 +88924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.960249162,1 +88921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.472172504,1 +88926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.485881988,1 +88927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.93083136,1 +88928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.572318202,1 +88930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.990525343,1 +88931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.417062871,1 +88932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.891513191,1 +88929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.022445588,1 +88933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.067041343,1 +88934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.941614035,1 +88935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.812332777,1 +88936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.811437956,1 +88937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.023407758,1 +88939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.744234058,1 +88938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.399134737,1 +88941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.108728076,1 +88940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.567021487,1 +88942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.311075757,1 +88943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.501210789,1 +88944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.571060177,1 +88946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.0248568,1 +88947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.454003249,1 +88948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.144749497,1 +88945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.329864066,1 +88949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.876248137,1 +88950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.138017011,1 +88951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.731938382,1 +88952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.821044995,1 +88954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.341199655,1 +88953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.313227432,1 +88955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.45606236,1 +88957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.461928278,1 +88956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.309107423,1 +88958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.68488373,1 +88959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.843513407,1 +88960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.808188576,1 +88962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.954330699,1 +88961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.757194873,1 +88963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.24853027,1 +88964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.985965632,1 +88965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,1.901336397,1 +88967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.649966275,1 +88966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.82736631,1 +88968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.653882824,1 +88969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.563561718,1 +88970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.111993086,1 +88972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.714491784,1 +88971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.979878315,1 +88973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.53970906,1 +88975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.103123909,1 +88974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.849233072,1 +88977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.868002424,1 +88976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.640244545,1 +88978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,8.729966869,1 +88979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.059273756,1 +88980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.495067934,1 +88981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.703804767,1 +88982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.878001371,1 +88983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.7787748,1 +88984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.643902017,1 +88986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.414731043,1 +88985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.170742203,1 +88987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.256559153,1 +88989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.722703423,1 +88988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.371760378,1 +88991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,2.044150472,1 +88990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.867051269,1 +88993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,5.209604917,1 +88992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.129886123,1 +88994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.043405211,1 +88997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.445992255,1 +88996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.974975449,1 +88995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.202459981,1 +88998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,3.197938061,1 +88999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,6.627987899,1 +89000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,9,1,4.747729764,1 +98001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.613857379,1 +98002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.318369909,1 +98004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.178214799,1 +98003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.417520444,1 +98006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.353300726,1 +98005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.014687508,1 +98007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.92290825,1 +98009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.303016836,1 +98010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.85793426,1 +98008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.177649837,1 +98011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.545528719,1 +98013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.789162531,1 +98015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.838722728,1 +98012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.033471079,1 +98016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.217025304,1 +98014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,7.156928803,1 +98018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.116110377,1 +98020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.298145885,1 +98017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.239616454,1 +98019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.349097947,1 +98021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,1.61320766,1 +98024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.876139039,1 +98023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.981298366,1 +98025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.400590606,1 +98022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.920036338,1 +98026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.176300706,1 +98027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.671618429,1 +98028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.671582858,1 +98030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.579481083,1 +98031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.074694109,1 +98029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.058992005,1 +98034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.293622581,1 +98032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.629512446,1 +98033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.857160485,1 +98035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.366129593,1 +98036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.138405211,1 +98037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.97459857,1 +98038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.131924664,1 +98039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.413019412,1 +98040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.099368381,1 +98041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.727264464,1 +98042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.44842494,1 +98044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.826676163,1 +98046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.782645209,1 +98045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.341058076,1 +98047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.227241176,1 +98043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.534391665,1 +98048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.540551802,1 +98049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.875448526,1 +98050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.751476441,1 +98051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.480520438,1 +98052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.286298799,1 +98054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.810258772,1 +98053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.952330363,1 +98055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,7.1542637,1 +98056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.388839482,1 +98057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.469462039,1 +98058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.449914273,1 +98060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.530022291,1 +98061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.408397725,1 +98062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.712127131,1 +98063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.385407776,1 +98059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,7.235569255,1 +98065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.010453432,1 +98064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.483724526,1 +98066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.419146816,1 +98069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.115151939,1 +98068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.47689866,1 +98067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.048862572,1 +98070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.009540772,1 +98072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.988747916,1 +98071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.338176183,1 +98073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.923189302,1 +98074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.294835115,1 +98075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.0861323,1 +98076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.054421238,1 +98077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.38574845,1 +98079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.72427356,1 +98078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.373628668,1 +98080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.211850226,1 +98082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.294130898,1 +98083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.799057938,1 +98084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.481600149,1 +98085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.254301667,1 +98086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.946186856,1 +98081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.539967414,1 +98087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.022434772,1 +98089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.753541986,1 +98088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.463361189,1 +98091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.558069486,1 +98090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,7.369942604,1 +98092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.288001002,1 +98093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.007722342,1 +98094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.739747787,1 +98095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.79404464,1 +98096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.652945918,1 +98097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.943355422,1 +98098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.396500372,1 +98099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.65068847,1 +98100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.370480835,1 +98102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.070039072,1 +98101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.784307926,1 +98104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.067393787,1 +98105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.857870743,1 +98106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.623449659,1 +98103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.219082684,1 +98107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.052912971,1 +98109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.561376511,1 +98108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.96282345,1 +98110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.092639802,1 +98111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.893665718,1 +98113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.067988971,1 +98112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.082904811,1 +98114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.301446781,1 +98115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.149957021,1 +98116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.663063303,1 +98117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.141716887,1 +98119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.022392198,1 +98120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.464868194,1 +98121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.292995242,1 +98122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.021151337,1 +98118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.352741985,1 +98124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.217257959,1 +98123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,7.442739491,1 +98126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.444939551,1 +98127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.976425608,1 +98125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.05229401,1 +98128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.085421747,1 +98129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.493776745,1 +98130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.670684758,1 +98131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,7.357422261,1 +98132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.669680606,1 +98133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.041444338,1 +98134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,1.967060357,1 +98136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.883242008,1 +98135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.902429248,1 +98138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.767813976,1 +98139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.980263304,1 +98140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.185150201,1 +98142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.773198005,1 +98141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.155856917,1 +98137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.741076722,1 +98143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.297932659,1 +98144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.197054315,1 +98145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.382413811,1 +98146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.775696522,1 +98147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.509786894,1 +98148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.020710219,1 +98149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.908206252,1 +98150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.735488193,1 +98151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.557247706,1 +98152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.615976829,1 +98153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.412634924,1 +98155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.188620554,1 +98156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.765885982,1 +98154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.855252715,1 +98157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.320531195,1 +98159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.154778676,1 +98161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.885166877,1 +98160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.381516568,1 +98162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.633369046,1 +98163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.02097085,1 +98164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.762386412,1 +98158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.948631692,1 +98165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.765620158,1 +98166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.411663794,1 +98167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.811744774,1 +98168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.343207686,1 +98170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.039607526,1 +98169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.544725797,1 +98172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.791186472,1 +98171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.817610146,1 +98173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.714391251,1 +98174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.323787548,1 +98175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.957359866,1 +98176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.592600107,1 +98177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.777400247,1 +98178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.263873376,1 +98180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.83689456,1 +98181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.395357461,1 +98182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.604945451,1 +98179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.619737563,1 +98183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.058685325,1 +98186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.518399266,1 +98185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.203112168,1 +98184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.609876255,1 +98188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.32458839,1 +98187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.965406912,1 +98190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.619767849,1 +98189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.474286043,1 +98191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.138481269,1 +98192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.695588135,1 +98193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.177814528,1 +98194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.004974835,1 +98196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.204199165,1 +98197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.494037932,1 +98198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.108495908,1 +98195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.754279807,1 +98199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.902590209,1 +98201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.068912644,1 +98200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.859378831,1 +98202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.271947686,1 +98203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.463217925,1 +98204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.088059689,1 +98206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.597955861,1 +98205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.058852391,1 +98207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.338568047,1 +98209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.04539129,1 +98210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.099288167,1 +98208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.480257884,1 +98212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.317066222,1 +98211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.118074736,1 +98213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.634200239,1 +98215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.066340269,1 +98214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.73366479,1 +98217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.55219498,1 +98216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.254242236,1 +98219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.765737511,1 +98220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.931531688,1 +98218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.292958885,1 +98221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.288990774,1 +98222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.747602182,1 +98223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.405510879,1 +98224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.155634254,1 +98225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,7.482560883,1 +98226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.662515086,1 +98227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.250874127,1 +98228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.62553226,1 +98229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.397628863,1 +98231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.266752351,1 +98232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.865853914,1 +98230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.450135396,1 +98233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.942465564,1 +98234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.516842097,1 +98236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.663596563,1 +98238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.403059889,1 +98235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.25198837,1 +98239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.455172863,1 +98237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.067981935,1 +98240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.206890587,1 +98241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.12574841,1 +98242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.035886394,1 +98244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.000957779,1 +98245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.959034623,1 +98243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.345707203,1 +98248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.711075934,1 +98246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.004331661,1 +98249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.700062918,1 +98247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.310358412,1 +98251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.330885434,1 +98253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.386041585,1 +98250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.637927566,1 +98254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.922713368,1 +98255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.401300533,1 +98256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.388649092,1 +98252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.770592816,1 +98257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.540883683,1 +98258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.189660021,1 +98259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.452350477,1 +98261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.937112842,1 +98263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.741664362,1 +98260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.958754707,1 +98262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.138706916,1 +98266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.633748977,1 +98264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.687042911,1 +98267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.221070002,1 +98265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.43257372,1 +98269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.605236268,1 +98270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.375359027,1 +98268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.396090805,1 +98272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.566086827,1 +98273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.408646605,1 +98271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.884161717,1 +98275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.741111446,1 +98277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.441809892,1 +98274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.38387265,1 +98276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.548579264,1 +98279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.708695207,1 +98280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.119534688,1 +98281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.803402945,1 +98278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.765454629,1 +98282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.197541171,1 +98284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.727547549,1 +98285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.930860107,1 +98283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.794313307,1 +98287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.919526825,1 +98288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.245523475,1 +98289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.1082998,1 +98290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.944487067,1 +98286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.585256511,1 +98291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.083072687,1 +98294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.247640525,1 +98292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.20089835,1 +98295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.696003633,1 +98293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.22390354,1 +98296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.775552111,1 +98297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.659793406,1 +98298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.030516692,1 +98299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.209338921,1 +98300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.654486103,1 +98301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.922569922,1 +98303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.037548069,1 +98302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.167728853,1 +98305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.081666739,1 +98306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.143412683,1 +98307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.349431179,1 +98304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.582097209,1 +98310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.341741547,1 +98311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.49477521,1 +98309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.947609601,1 +98308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.350591958,1 +98313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.163632852,1 +98312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.363426768,1 +98314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.693095462,1 +98315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.698814616,1 +98316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.4756963,1 +98317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.524431101,1 +98318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.072121899,1 +98319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.451885753,1 +98321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.15192551,1 +98322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.274992312,1 +98323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.799371914,1 +98320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.119040237,1 +98324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.323570304,1 +98327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.968719584,1 +98325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,1.841403744,1 +98328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.574978959,1 +98326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.726674913,1 +98329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.354232584,1 +98330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.925845704,1 +98331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.699474497,1 +98332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.244869862,1 +98333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,1.189909703,1 +98334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.303097796,1 +98335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.532393777,1 +98336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.077421428,1 +98337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.296269283,1 +98339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.800090934,1 +98338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.925304762,1 +98341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.969441074,1 +98342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.780834835,1 +98340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.944046811,1 +98343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.581390722,1 +98344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.099575993,1 +98345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.910427009,1 +98346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.342393071,1 +98347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.191608533,1 +98348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.920495966,1 +98349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.398555419,1 +98351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.732235064,1 +98350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.993111205,1 +98352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.691357339,1 +98353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.393927566,1 +98354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.060835478,1 +98356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.699877699,1 +98358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.093531274,1 +98357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.703680067,1 +98355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,8.378590342,1 +98359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.08379409,1 +98361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.724783681,1 +98360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.445305537,1 +98363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.427926065,1 +98364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.600333168,1 +98365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.043504678,1 +98362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.826345756,1 +98366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.121213103,1 +98367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.548793643,1 +98368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.937158854,1 +98369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.996748529,1 +98370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.303919361,1 +98371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.044307694,1 +98372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.840665461,1 +98373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.271069706,1 +98374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.329472494,1 +98375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.072473866,1 +98376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.146896819,1 +98379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.234919129,1 +98378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.1144041,1 +98380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.466005444,1 +98377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.397100791,1 +98381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.755353572,1 +98382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.838150084,1 +98383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.881447371,1 +98387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.028115803,1 +98386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.814188636,1 +98384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,8.119519907,1 +98385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.904066205,1 +98388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.122216301,1 +98389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.97331111,1 +98391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.059263447,1 +98390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.413565832,1 +98392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.25393686,1 +98393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.888072764,1 +98394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.039740168,1 +98395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.057042606,1 +98396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.071112921,1 +98397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.084270188,1 +98398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.827699095,1 +98400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.060187742,1 +98399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.019686435,1 +98403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.836011604,1 +98401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.332611409,1 +98402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.489073206,1 +98405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.079337699,1 +98406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.271941681,1 +98404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.287159142,1 +98407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.748597015,1 +98409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.480972394,1 +98408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.964604554,1 +98410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.837202552,1 +98411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.254202651,1 +98412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.484609415,1 +98414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.394604082,1 +98415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.170687609,1 +98413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.735832972,1 +98416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.611510645,1 +98418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.922510411,1 +98419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.74701054,1 +98417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.869761414,1 +98421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.707118472,1 +98422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.275892566,1 +98420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.555696097,1 +98423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.988558806,1 +98424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.592754085,1 +98426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.665045555,1 +98425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.211809087,1 +98427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.494521095,1 +98428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.561303431,1 +98429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.910565358,1 +98430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.809810398,1 +98432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.796454387,1 +98433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.546979786,1 +98431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.357799237,1 +98434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.747962862,1 +98435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.256806642,1 +98436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.490376223,1 +98437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.060318298,1 +98438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.396894843,1 +98439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.290569764,1 +98440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.869187488,1 +98442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.945712384,1 +98441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.470727224,1 +98444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.781319642,1 +98443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.199016146,1 +98445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.554927754,1 +98446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.433214334,1 +98448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.157781951,1 +98447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.134345499,1 +98449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.233473559,1 +98450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.49792618,1 +98451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.62129272,1 +98452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.048999198,1 +98453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.234294803,1 +98454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.405205467,1 +98455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.897471702,1 +98456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.787027739,1 +98457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.405978918,1 +98459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.822325613,1 +98458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.082602597,1 +98460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.670723851,1 +98461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.954361199,1 +98462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.247268611,1 +98465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.82196913,1 +98464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,7.179447978,1 +98466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.661678235,1 +98463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.981035039,1 +98467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.321810867,1 +98469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.714906993,1 +98470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.747582657,1 +98471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,7.113732763,1 +98468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.278876607,1 +98472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.433753504,1 +98473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.167101904,1 +98474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.118022296,1 +98476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.078352022,1 +98475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.835057742,1 +98477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.312577321,1 +98478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.235302012,1 +98479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.627563487,1 +98480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.307707267,1 +98482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.851529478,1 +98484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.900746246,1 +98485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.888786762,1 +98481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.206962492,1 +98486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.286295191,1 +98483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.912632648,1 +98488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.519347321,1 +98487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.606203252,1 +98489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.836961243,1 +98491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.519186763,1 +98490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.368033536,1 +98492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.417334118,1 +98493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.135491276,1 +98494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.692308966,1 +98495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.629742236,1 +98496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.548626069,1 +98497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.206113352,1 +98499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.707537375,1 +98500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.721324599,1 +98501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.443968584,1 +98502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.273650519,1 +98498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.504349886,1 +98503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.549759673,1 +98504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.039351653,1 +98506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.438850976,1 +98507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.819306339,1 +98505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.639782919,1 +98508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.035839516,1 +98510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.400446192,1 +98509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.166019508,1 +98511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.771419236,1 +98512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.375171012,1 +98514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.478607187,1 +98515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.872614422,1 +98513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.836300247,1 +98516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.964671333,1 +98518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.38985674,1 +98519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.284063105,1 +98520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.342466847,1 +98522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.88244743,1 +98517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.097058607,1 +98524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.199776403,1 +98523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.108766646,1 +98521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.545534781,1 +98525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.350756689,1 +98527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.676772096,1 +98526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.968878628,1 +98528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.54176356,1 +98529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.064484182,1 +98530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.310985284,1 +98532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.83626406,1 +98531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,1.800864691,1 +98534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.2648307,1 +98535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.778445698,1 +98536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.179992984,1 +98533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.608674093,1 +98538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.604188609,1 +98539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.716322638,1 +98537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.552872982,1 +98540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.40492685,1 +98541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.370626803,1 +98543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.791694286,1 +98542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.848561996,1 +98544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.894128523,1 +98545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.542905076,1 +98546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.936549111,1 +98547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.294102137,1 +98548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.878820099,1 +98549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.074384613,1 +98550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.958846121,1 +98551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.19434946,1 +98554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.075887906,1 +98552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.421439637,1 +98553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.618437076,1 +98555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.798419217,1 +98556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.35257224,1 +98557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.083742206,1 +98558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.833229498,1 +98559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.7610292,1 +98560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.500451125,1 +98562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.531407592,1 +98561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.826722336,1 +98563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.607948668,1 +98564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.771421427,1 +98565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.626225827,1 +98566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.705797549,1 +98567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.632562176,1 +98568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.453350913,1 +98569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.294375629,1 +98570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.561031144,1 +98571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.74374081,1 +98573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.61150612,1 +98572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.490519513,1 +98575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.003582927,1 +98576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.529341286,1 +98574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.681790491,1 +98577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.544126346,1 +98578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.347941092,1 +98579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.455095384,1 +98581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.298211485,1 +98580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.632054856,1 +98583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.913629288,1 +98582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.686210895,1 +98584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.331876304,1 +98585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.657035189,1 +98586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.849413951,1 +98587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.88188548,1 +98590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.314261808,1 +98589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.82907348,1 +98591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.977430102,1 +98588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.195434322,1 +98594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.173478689,1 +98592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.076978059,1 +98593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.016074007,1 +98595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.668934522,1 +98596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.437946468,1 +98597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.111364027,1 +98598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.813399719,1 +98599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,7.023748213,1 +98600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.991669579,1 +98601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.514739358,1 +98603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.449436731,1 +98604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.457589598,1 +98605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.73111842,1 +98602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.591251855,1 +98607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.76784009,1 +98606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.51520319,1 +98608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.9638667,1 +98609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.441010294,1 +98610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.99764133,1 +98612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.995613872,1 +98611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.975666327,1 +98613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.616907064,1 +98616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.326587308,1 +98614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.701145298,1 +98615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.981744018,1 +98617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.729797315,1 +98618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.805312123,1 +98619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.847871442,1 +98620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.069113131,1 +98622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.251927557,1 +98623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.633945546,1 +98624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.162318795,1 +98627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.256250255,1 +98626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.07676093,1 +98621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.977625486,1 +98625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.924129915,1 +98630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.510618932,1 +98628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.858477701,1 +98629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.178176236,1 +98631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.887441631,1 +98633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.829382245,1 +98632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.403997279,1 +98634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.719371761,1 +98635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.750641459,1 +98636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,7.385774637,1 +98638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.1624315,1 +98639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.649694522,1 +98640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.409932671,1 +98641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.090493794,1 +98637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.508493426,1 +98642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.627791103,1 +98643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.915236765,1 +98644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.026428854,1 +98645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.123934078,1 +98646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.989344949,1 +98647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.689580586,1 +98648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.326743243,1 +98649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.578698405,1 +98650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.993360777,1 +98651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.864407175,1 +98652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.899166789,1 +98653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.475319514,1 +98654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.996577008,1 +98655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.440725375,1 +98656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.067247963,1 +98659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.639075755,1 +98660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.81628816,1 +98658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.24333831,1 +98657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.401093459,1 +98661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.796536595,1 +98663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.831819681,1 +98662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.928503576,1 +98664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.199138774,1 +98665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.990773652,1 +98666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.370905046,1 +98667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.925229025,1 +98668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,7.167973649,1 +98669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.043043951,1 +98670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.357789937,1 +98671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.245997572,1 +98673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.719412924,1 +98672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.192886456,1 +98675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.122304052,1 +98674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.676558374,1 +98676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.939941636,1 +98677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.133736918,1 +98679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.047073857,1 +98680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.964972946,1 +98678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.885063359,1 +98681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.360976147,1 +98683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.930712951,1 +98682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.933088609,1 +98684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.823988219,1 +98685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.520450424,1 +98686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.956892521,1 +98688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.791252662,1 +98687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.754390305,1 +98691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.600289262,1 +98689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.372674288,1 +98692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.154315687,1 +98690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.333845022,1 +98693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.784071989,1 +98695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.653111665,1 +98696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.968585199,1 +98694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.10753138,1 +98697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.948684541,1 +98699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.900520714,1 +98698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.92767722,1 +98700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.25336877,1 +98701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.736687879,1 +98702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.583918606,1 +98703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.100284061,1 +98704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.531052679,1 +98705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.862912393,1 +98706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,7.058355696,1 +98709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.945794428,1 +98710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.239251005,1 +98711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.048558566,1 +98707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.335569064,1 +98708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.950075899,1 +98712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.868907765,1 +98713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.56584328,1 +98715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.851581983,1 +98716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.407242434,1 +98714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.172060327,1 +98717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.623844362,1 +98718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.231850384,1 +98719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.44416388,1 +98720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.593504055,1 +98722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.911219211,1 +98721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.714612808,1 +98723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.347553297,1 +98724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.093030334,1 +98726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.837343918,1 +98727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.867136927,1 +98728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.744721574,1 +98729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.650096894,1 +98730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.918281694,1 +98725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,7.445018704,1 +98732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.047202631,1 +98733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.958931039,1 +98734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.931668811,1 +98731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.453717949,1 +98735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.220196692,1 +98736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.332916529,1 +98737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.662303593,1 +98738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.121889873,1 +98740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.696552949,1 +98739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.686613653,1 +98742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.781321356,1 +98741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.654897821,1 +98744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.587001066,1 +98743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.38777817,1 +98745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.26586534,1 +98748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.744679243,1 +98747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.052184339,1 +98746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.314608157,1 +98751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.123398554,1 +98750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.222985412,1 +98749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.799795759,1 +98752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.459428513,1 +98754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.86458556,1 +98753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.823876805,1 +98755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.740462338,1 +98756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.262087985,1 +98757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.125582754,1 +98759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.3246302,1 +98758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.159105136,1 +98761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.292260183,1 +98762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.666640757,1 +98763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.685447682,1 +98764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.551342834,1 +98760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.707668677,1 +98766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.016724468,1 +98765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.340763375,1 +98768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.067292768,1 +98769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.279886044,1 +98770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.258777697,1 +98767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.037533052,1 +98771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.708517736,1 +98772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.276126172,1 +98774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.927106981,1 +98773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.823856406,1 +98775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.682813916,1 +98776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.237191333,1 +98777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.300122108,1 +98778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.697017429,1 +98781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.761392506,1 +98780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.445750354,1 +98782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.21862622,1 +98779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.649803068,1 +98784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.311610548,1 +98783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.501009487,1 +98785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.412515843,1 +98786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.271199943,1 +98787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.886802904,1 +98788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.565965373,1 +98789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.416875257,1 +98792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.699568876,1 +98791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.183313054,1 +98790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.09419774,1 +98793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.923835661,1 +98794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.994529835,1 +98795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.998139332,1 +98797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.118986796,1 +98796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.660756465,1 +98798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.164839334,1 +98799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.270648488,1 +98800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.680324776,1 +98802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.370140834,1 +98803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.431591127,1 +98801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.24692931,1 +98804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.203421863,1 +98805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.910591807,1 +98806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.068202594,1 +98807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.779867026,1 +98808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,1.550004945,1 +98809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.603443784,1 +98810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.221597157,1 +98811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.555737974,1 +98812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.439126159,1 +98813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,7.670656597,1 +98814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.034833712,1 +98816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.205129796,1 +98817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.640620431,1 +98815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.232348361,1 +98818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.828676045,1 +98819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.685407669,1 +98820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.748886201,1 +98822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.409949568,1 +98823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.655203736,1 +98821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.867561319,1 +98824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.354177639,1 +98825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.659257042,1 +98829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.218245446,1 +98827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.042623921,1 +98828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.687551361,1 +98826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.185672233,1 +98831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.188437707,1 +98832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.193880959,1 +98830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.869392316,1 +98833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.585260913,1 +98834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.88500169,1 +98835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.583508346,1 +98837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.091991199,1 +98838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.435144089,1 +98839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.163508999,1 +98840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.795297213,1 +98836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,1.93037857,1 +98842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.141114395,1 +98843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.904737976,1 +98841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.709426379,1 +98844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.180446937,1 +98845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.815779921,1 +98847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.050060034,1 +98846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.26794743,1 +98848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.659245585,1 +98849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.432071133,1 +98851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.433593873,1 +98850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.264573332,1 +98852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.026754733,1 +98853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.267031612,1 +98854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.292923013,1 +98855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.952896754,1 +98857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.526750634,1 +98858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.306832878,1 +98859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.299381325,1 +98860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.753483893,1 +98856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.691957967,1 +98861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.481335256,1 +98862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.45867851,1 +98863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.799643066,1 +98864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.679329675,1 +98865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.911917689,1 +98866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,1.707635189,1 +98867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.21638684,1 +98868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.172076089,1 +98869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.946920437,1 +98870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.96210644,1 +98871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.67611277,1 +98874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.004061533,1 +98873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.753889501,1 +98872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.043022044,1 +98875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.305394171,1 +98877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.659995297,1 +98876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.583194412,1 +98880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.245656186,1 +98879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.384849489,1 +98878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.867611384,1 +98881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.683285051,1 +98882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.946574671,1 +98883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.89907986,1 +98884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.904043704,1 +98885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,7.418765121,1 +98886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.642127776,1 +98887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.388191418,1 +98888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.606144891,1 +98889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.36730283,1 +98890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.87906704,1 +98891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.992003205,1 +98892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.028044884,1 +98894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.252280804,1 +98895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.255716208,1 +98896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.886338501,1 +98897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.491454714,1 +98898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.741468209,1 +98893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.556921802,1 +98899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.594769861,1 +98900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.762760973,1 +98901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.684599946,1 +98902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.893134772,1 +98904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.986967509,1 +98905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.00667881,1 +98903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.655954683,1 +98906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.798814741,1 +98907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.65890126,1 +98908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.05923152,1 +98910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.926006783,1 +98911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.107795606,1 +98912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.195209722,1 +98909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.665607715,1 +98914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.525888574,1 +98915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.397944823,1 +98916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.462661129,1 +98913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.578678647,1 +98917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.876122779,1 +98920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.059692315,1 +98919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.715574614,1 +98918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.874256483,1 +98921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.81454732,1 +98922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.818564952,1 +98924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.075338828,1 +98925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.187383928,1 +98926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.206043073,1 +98923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.224736298,1 +98927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.461821963,1 +98928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.955997244,1 +98931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.199522092,1 +98932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.336749779,1 +98929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.024248307,1 +98930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,7.090132516,1 +98935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,8.259621476,1 +98933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.443295173,1 +98936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.408326827,1 +98934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.475307425,1 +98937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.749532395,1 +98938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.522577195,1 +98939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.23853901,1 +98940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.802709597,1 +98941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,7.241790706,1 +98942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.160348611,1 +98944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.485831144,1 +98945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.054235999,1 +98946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.621055471,1 +98947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.944143223,1 +98943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.580644047,1 +98949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.716048425,1 +98948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.873243853,1 +98951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.442974021,1 +98950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.936511342,1 +98953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.829211346,1 +98952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.956619388,1 +98954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.081539914,1 +98955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.79854724,1 +98956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.932456437,1 +98957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.330121745,1 +98958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,8.865931333,1 +98959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.193678148,1 +98960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.871199194,1 +98961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.721696485,1 +98963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.577140674,1 +98965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.758208183,1 +98962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.884106335,1 +98964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.092920184,1 +98966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.02685633,1 +98968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.91640508,1 +98969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.663457525,1 +98970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.75927208,1 +98967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.879305779,1 +98971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.188565883,1 +98972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.485977621,1 +98973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.522865356,1 +98974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.087900073,1 +98976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.736662243,1 +98977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.076531182,1 +98978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.599788328,1 +98979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.670078191,1 +98975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.19299259,1 +98981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.825644975,1 +98983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.001035556,1 +98980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.00288021,1 +98982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.426313363,1 +98986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,1.845191868,1 +98985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.229987018,1 +98987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.277130375,1 +98984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.519112759,1 +98988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.284217991,1 +98990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.796293493,1 +98989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.315125989,1 +98992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.334807722,1 +98993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.12695492,1 +98991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,2.813375002,1 +98994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.744160437,1 +98995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,6.860230526,1 +98997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.162655964,1 +98996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,3.341716056,1 +98999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.135057185,1 +99000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,4.301297386,1 +98998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,9,1,5.121203154,1 +108001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.066570097,1 +108002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.462376784,1 +108003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.142853814,1 +108004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.582473443,1 +108006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.993758016,1 +108005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.881493011,1 +108008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.391714034,1 +108007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.124705255,1 +108011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.726193317,1 +108009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.777881238,1 +108010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.808773756,1 +108012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.404466118,1 +108016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.950194394,1 +108014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.466398133,1 +108015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.373289612,1 +108013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.778922434,1 +108019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.001095656,1 +108018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.629430885,1 +108017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.439561173,1 +108020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.661626515,1 +108022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.116170802,1 +108021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.588045287,1 +108023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.901354798,1 +108024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.507358604,1 +108026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.851470525,1 +108028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.417583753,1 +108025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.43541485,1 +108027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.111588194,1 +108031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.907461555,1 +108029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.531256638,1 +108032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.499794127,1 +108030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.165261348,1 +108033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.987281546,1 +108034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,1.881277047,1 +108036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.664629665,1 +108035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.822979849,1 +108037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.378177384,1 +108038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.348083475,1 +108039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.411923842,1 +108041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.081934918,1 +108040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.468830817,1 +108042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.027694503,1 +108043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.546424333,1 +108044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.529408102,1 +108047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.347288414,1 +108045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.749791482,1 +108046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.573642617,1 +108048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.806346715,1 +108050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.308375954,1 +108052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.299440306,1 +108049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.479387613,1 +108051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.75973885,1 +108053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.927893122,1 +108056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.196588542,1 +108055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.043511969,1 +108054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.266664561,1 +108059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.08630314,1 +108058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.509337722,1 +108060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.919086586,1 +108057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.080611399,1 +108061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.750155293,1 +108062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.282228954,1 +108064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.635518989,1 +108065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.618293213,1 +108066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.051596334,1 +108063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,1.813855014,1 +108069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,8.299760918,1 +108070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.091495635,1 +108067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.030183907,1 +108068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.124531369,1 +108072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.324991759,1 +108071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.819406393,1 +108073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.185041473,1 +108074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.486905118,1 +108075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.365597296,1 +108076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.756991118,1 +108077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.785093173,1 +108078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.660621445,1 +108079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.506243888,1 +108080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.538088398,1 +108081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.700863566,1 +108082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.628822957,1 +108084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.580477492,1 +108083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.713339133,1 +108085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.722144246,1 +108086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.863985037,1 +108087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.970340257,1 +108088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.758173524,1 +108089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.366669557,1 +108090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.709499938,1 +108092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.296882833,1 +108091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.044416068,1 +108093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.577545693,1 +108095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.322598079,1 +108096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.481275158,1 +108094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.877505574,1 +108099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.60443481,1 +108097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.491690396,1 +108098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.535685191,1 +108100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.664812265,1 +108102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.251068829,1 +108101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,8.901854609,1 +108103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.145401879,1 +108106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.510968819,1 +108105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.357286388,1 +108107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.321956833,1 +108104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.320004856,1 +108108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.236018432,1 +108110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.757447247,1 +108111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.671341178,1 +108109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.94075659,1 +108112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.690283263,1 +108113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.58615273,1 +108114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.270522683,1 +108115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.925655021,1 +108116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.050944083,1 +108117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.329014233,1 +108119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.472010168,1 +108118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.841010104,1 +108122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.631693823,1 +108120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.601827259,1 +108121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.706223318,1 +108123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.163597111,1 +108125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.312321508,1 +108124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.555117016,1 +108126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.183442995,1 +108127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.958980044,1 +108128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.78230208,1 +108129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.288971991,1 +108130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.661583849,1 +108132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.844126063,1 +108131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.482973239,1 +108133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.140320152,1 +108135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.740120565,1 +108134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.865920018,1 +108136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.61414054,1 +108137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.695972768,1 +108139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.492343332,1 +108141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.803687378,1 +108138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.310160979,1 +108140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.696861985,1 +108142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.568261181,1 +108143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.704154433,1 +108144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.545080593,1 +108146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.683552324,1 +108147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.12914498,1 +108145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.397303698,1 +108148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.149310421,1 +108149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.882216401,1 +108150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.528204625,1 +108151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.95579759,1 +108152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.397817396,1 +108153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.381263274,1 +108154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.045558886,1 +108155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.820846737,1 +108156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.033943647,1 +108159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.447286978,1 +108160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.018462564,1 +108157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.275211721,1 +108158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.354046164,1 +108161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,8.324357039,1 +108162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.887729408,1 +108163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.428630774,1 +108164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.807279873,1 +108165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.744326221,1 +108166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.226268922,1 +108167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.00904404,1 +108168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.118595959,1 +108169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.76382276,1 +108170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.731107881,1 +108172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.80327555,1 +108171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.586526869,1 +108176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.130505149,1 +108173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.584575128,1 +108175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.953558484,1 +108174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.133727573,1 +108177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.389293675,1 +108178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.916037206,1 +108179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,8.414083905,1 +108180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.173770593,1 +108181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.009150131,1 +108183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.327350007,1 +108182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.874912025,1 +108184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.511835608,1 +108185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.26468845,1 +108186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.506912377,1 +108187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.653681269,1 +108188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.409932988,1 +108189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.478656806,1 +108190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.192314374,1 +108192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.245153978,1 +108191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.276526544,1 +108194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.756848533,1 +108193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.978607281,1 +108196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.59035218,1 +108195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.787938533,1 +108197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.453727618,1 +108198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.43822719,1 +108200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.02455968,1 +108199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.03984732,1 +108201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.238491469,1 +108202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.425131424,1 +108203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,1.366407905,1 +108204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.156121201,1 +108205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.577989283,1 +108206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.188821004,1 +108207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.657044997,1 +108209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.709654782,1 +108210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.52454667,1 +108208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.919443739,1 +108211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.324364885,1 +108212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.373908937,1 +108214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.351177263,1 +108213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.081194818,1 +108215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.35786002,1 +108216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.26871707,1 +108218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.017991336,1 +108217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.404536858,1 +108219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.236358255,1 +108220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.221936991,1 +108221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.679767383,1 +108223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.699805805,1 +108222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.09852988,1 +108224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.659922897,1 +108225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.709870514,1 +108226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.27453171,1 +108227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.249339186,1 +108228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.724131917,1 +108229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.126423291,1 +108230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.803759451,1 +108231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.013584565,1 +108233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.228261471,1 +108232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.827090221,1 +108234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.802734889,1 +108235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.487421748,1 +108236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.658141654,1 +108237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.443461666,1 +108238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.688458792,1 +108240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.454190175,1 +108241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.349021301,1 +108239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.074664822,1 +108242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.588414926,1 +108243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.950098671,1 +108246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.775342484,1 +108244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.343002227,1 +108245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.672424831,1 +108250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.028570029,1 +108247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.767155949,1 +108248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.881062373,1 +108249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.122240294,1 +108252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.881133206,1 +108251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.122120196,1 +108253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.458490046,1 +108254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.991868377,1 +108255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.537774329,1 +108257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.846435064,1 +108256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.62295587,1 +108258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.621258564,1 +108259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.313353433,1 +108260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.537489979,1 +108262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.252838583,1 +108261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.090079417,1 +108263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.823341216,1 +108266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.722959071,1 +108264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.781801882,1 +108267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.224672918,1 +108265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.483501233,1 +108269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.895144242,1 +108270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.672189798,1 +108271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.469768703,1 +108268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.969525738,1 +108272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.836539012,1 +108274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.549717111,1 +108273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.442451223,1 +108275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.635001999,1 +108276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.943018702,1 +108277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.756336353,1 +108278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.488670261,1 +108280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.133037342,1 +108279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.439274796,1 +108281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.858196406,1 +108284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.121926053,1 +108282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,1.56397013,1 +108283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.51428194,1 +108285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.931433132,1 +108287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.68879019,1 +108286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.5112122,1 +108288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.954901302,1 +108289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.615832525,1 +108290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.307783369,1 +108291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.387919435,1 +108292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.825475478,1 +108293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.395017445,1 +108294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.594278043,1 +108295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.87536153,1 +108296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.816311198,1 +108297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.58735529,1 +108298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.359482356,1 +108299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.028549234,1 +108301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.833298635,1 +108300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.501932321,1 +108302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.312922984,1 +108303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.398286662,1 +108304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.853965421,1 +108305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.671970371,1 +108306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.009656456,1 +108307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,8.686881855,1 +108308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.865407968,1 +108310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.172492329,1 +108309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.607733779,1 +108311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.095238617,1 +108312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.867115413,1 +108313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.020416022,1 +108314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.990277215,1 +108315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.199860738,1 +108316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.901877526,1 +108317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.919078975,1 +108318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.532583188,1 +108319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.573333423,1 +108322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.795795184,1 +108321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.710903242,1 +108320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.95408938,1 +108323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.769717857,1 +108324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.044692005,1 +108326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,0.729196182,1 +108325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.648663174,1 +108327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.880408976,1 +108328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.249195624,1 +108329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.698459394,1 +108330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.413157047,1 +108331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.474557363,1 +108332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.732336778,1 +108333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.117354249,1 +108334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.906909011,1 +108335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.585246213,1 +108337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.896847699,1 +108336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.82441339,1 +108338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.706845404,1 +108339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.442218788,1 +108340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.918162403,1 +108341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.539331244,1 +108343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.545192035,1 +108342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.821264045,1 +108344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.607010862,1 +108345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.111111191,1 +108346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.610263022,1 +108347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.572034325,1 +108348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.876227056,1 +108349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.259974577,1 +108350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.153848048,1 +108352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.720931704,1 +108351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.620349124,1 +108353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.998825945,1 +108354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.637690344,1 +108355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.99604281,1 +108356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.320503253,1 +108357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.630194826,1 +108359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.743850784,1 +108361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.574098933,1 +108358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.080087044,1 +108360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.739528942,1 +108362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.469896517,1 +108363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.928542817,1 +108364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.91196828,1 +108365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.244645308,1 +108366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.136683781,1 +108367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.271916583,1 +108368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.649407727,1 +108369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.843174355,1 +108370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.19866361,1 +108371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.280713137,1 +108372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.667317231,1 +108373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.315535833,1 +108374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.918217366,1 +108375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.457414125,1 +108376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.556027275,1 +108377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.436494907,1 +108378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.01666745,1 +108380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.621569415,1 +108379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.0863694,1 +108381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.331240191,1 +108383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.113547023,1 +108382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.023626189,1 +108384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.759213391,1 +108386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.591671806,1 +108387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.135449037,1 +108388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.942415728,1 +108385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.997094296,1 +108389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.103919878,1 +108392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.594369042,1 +108391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.636775839,1 +108390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.556546177,1 +108393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.936775815,1 +108394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.583805762,1 +108396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.773734912,1 +108395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.485371862,1 +108397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.005845357,1 +108399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.314950798,1 +108398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.322566046,1 +108400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.421220003,1 +108401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.248544738,1 +108402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.81319276,1 +108404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.607162211,1 +108403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.596799739,1 +108405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.947573685,1 +108406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.505229171,1 +108407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.971139988,1 +108408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.257925057,1 +108409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.079618999,1 +108410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.428531465,1 +108412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.400367527,1 +108411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.059830077,1 +108413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.142928263,1 +108414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.174838593,1 +108416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.133151016,1 +108417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.134436598,1 +108418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.51168616,1 +108415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.310124198,1 +108419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.147499602,1 +108420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.509938973,1 +108421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.038234297,1 +108422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.680557288,1 +108423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.47407825,1 +108425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.475467695,1 +108424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.741781401,1 +108426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.003132177,1 +108427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.891088263,1 +108430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.602558568,1 +108429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.88729895,1 +108428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.389895191,1 +108431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.877943401,1 +108433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.998878689,1 +108434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.032273146,1 +108435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.531230829,1 +108432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.284529356,1 +108436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.885018649,1 +108438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.91949922,1 +108437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.736757373,1 +108439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.183835371,1 +108440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.865260122,1 +108441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.522239702,1 +108442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.197020071,1 +108443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,8.51129829,1 +108444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.691060916,1 +108445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,8.572389768,1 +108446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.455118301,1 +108447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.647584966,1 +108448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.987272383,1 +108451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.473553111,1 +108450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.057995455,1 +108452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.101423624,1 +108449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,8.153920549,1 +108454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.658099266,1 +108455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.07954557,1 +108453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.181195477,1 +108456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.409784915,1 +108457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.643339538,1 +108458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.672186872,1 +108459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.927252394,1 +108460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.439707018,1 +108461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.34846702,1 +108462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.669605363,1 +108463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.049792433,1 +108464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.990937076,1 +108467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.997688134,1 +108465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.937500182,1 +108466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.547293089,1 +108468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.521233265,1 +108470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.569561053,1 +108471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.18815255,1 +108472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.798222557,1 +108469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.896840748,1 +108473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.185139949,1 +108474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.431365109,1 +108475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.547124489,1 +108476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.192061931,1 +108477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.442647811,1 +108478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.218167035,1 +108479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.74813786,1 +108480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.651112191,1 +108481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.628321562,1 +108482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.079383117,1 +108483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.501682858,1 +108484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.586607042,1 +108485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.564635804,1 +108486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.776667594,1 +108487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.162992824,1 +108489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.957431574,1 +108488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.885715403,1 +108490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.663328052,1 +108491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.731986905,1 +108492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.037506669,1 +108493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.500938144,1 +108494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.294165324,1 +108495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.983645818,1 +108496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.745600132,1 +108497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.087734081,1 +108498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.865580701,1 +108499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.864238164,1 +108500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.59138561,1 +108502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.753467065,1 +108501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.496982777,1 +108503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.454426812,1 +108504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.351990952,1 +108506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.16108879,1 +108505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.310119443,1 +108507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.522137852,1 +108508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,8.616862602,1 +108509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.140028503,1 +108510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.312955217,1 +108511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.171808704,1 +108512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.107459506,1 +108513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.888593795,1 +108515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.378636892,1 +108516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.063626064,1 +108514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.334597648,1 +108517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.162124192,1 +108518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.569761751,1 +108519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.12363075,1 +108520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.478853375,1 +108522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.324167181,1 +108521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.140170962,1 +108523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.707023493,1 +108524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.168650017,1 +108525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.07498188,1 +108526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.395727744,1 +108527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.852265315,1 +108528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.536793012,1 +108529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.767015299,1 +108530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.999618959,1 +108533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.637865364,1 +108534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.023480903,1 +108531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.931560097,1 +108532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.840094411,1 +108536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.982636703,1 +108535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.900371448,1 +108537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.198021427,1 +108538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.206747404,1 +108539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,8.003307563,1 +108542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.3882515,1 +108540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.021919722,1 +108541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.980826894,1 +108543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.547804839,1 +108544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.851643635,1 +108545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.076574212,1 +108546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.472130541,1 +108547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.916571745,1 +108549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.686936816,1 +108548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.641529376,1 +108550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.479086683,1 +108552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.005674599,1 +108554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.965209757,1 +108551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.916690992,1 +108553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.942096849,1 +108555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.337016729,1 +108556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.754795885,1 +108557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.349919881,1 +108558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.019013862,1 +108559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.382651753,1 +108561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.868929481,1 +108560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.657648215,1 +108562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.221631478,1 +108564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.359031306,1 +108563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.672554474,1 +108565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.572021026,1 +108566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.483429636,1 +108567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,8.072185619,1 +108568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.093022307,1 +108569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.759671051,1 +108570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.601869564,1 +108571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.429474417,1 +108572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.42114462,1 +108573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.028263924,1 +108575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.084403688,1 +108574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.64148392,1 +108576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.544306734,1 +108577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.897860649,1 +108579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.256176691,1 +108581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.17719075,1 +108580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.877751744,1 +108578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.487259313,1 +108582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.432588713,1 +108583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.876941205,1 +108584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.120127619,1 +108585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.61260011,1 +108587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.046799682,1 +108588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.547175446,1 +108589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.300259601,1 +108586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.83524495,1 +108590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.482839482,1 +108592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.553043237,1 +108591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.862905541,1 +108593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.237473894,1 +108595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.76303373,1 +108594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.206456764,1 +108597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.605721923,1 +108596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.907289704,1 +108599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.73148336,1 +108601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.044547311,1 +108598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.602493057,1 +108600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.307159177,1 +108602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.726099955,1 +108603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.384480268,1 +108604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.690883634,1 +108606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.430249139,1 +108607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.89413773,1 +108605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.45568585,1 +108608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.528694231,1 +108610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.35887244,1 +108612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.408735009,1 +108611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.19585701,1 +108609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.046399657,1 +108615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.919344014,1 +108614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.741186674,1 +108613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.561467242,1 +108616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.880504669,1 +108618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.507849031,1 +108620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.939486812,1 +108619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.321208767,1 +108617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.371828956,1 +108621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.068513438,1 +108622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.039549067,1 +108623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,1.914501314,1 +108624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.917011095,1 +108625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.08232182,1 +108626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.831133173,1 +108627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.128702975,1 +108628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.099604101,1 +108629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.273561035,1 +108632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.231171332,1 +108631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.936086812,1 +108630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,1.835112662,1 +108633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.237561504,1 +108635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.970675756,1 +108636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.332179821,1 +108634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.789267401,1 +108637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.538726106,1 +108638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.92338745,1 +108639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.688321322,1 +108640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.719588466,1 +108641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.107862772,1 +108643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.863309929,1 +108642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.007510301,1 +108644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.799715849,1 +108645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.447656626,1 +108646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.884922605,1 +108647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.405175702,1 +108648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.450858879,1 +108649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.459183862,1 +108650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.10868828,1 +108651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.743153635,1 +108653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.137520377,1 +108654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.192701156,1 +108652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.874575266,1 +108655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.648102004,1 +108656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.684537916,1 +108657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.690664807,1 +108658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.88723072,1 +108659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.656060848,1 +108660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.358671483,1 +108661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.655036052,1 +108662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.002446037,1 +108663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.52458711,1 +108664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.990094441,1 +108665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.946333832,1 +108666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.841692788,1 +108667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.969287812,1 +108668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.982178649,1 +108669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.200308321,1 +108672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.097524035,1 +108671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.59188318,1 +108670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.469787069,1 +108674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.283905571,1 +108673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.053971159,1 +108676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.396348046,1 +108675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.790814127,1 +108677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.283475451,1 +108678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.883941819,1 +108679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.16582832,1 +108680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.133922467,1 +108681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.789305258,1 +108682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.370111001,1 +108683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.936401125,1 +108684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,8.418556437,1 +108686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.632488736,1 +108687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.842681748,1 +108685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.497726299,1 +108688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.098579989,1 +108691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.119723476,1 +108689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.675450801,1 +108692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.631790932,1 +108690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.406011383,1 +108693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.593332134,1 +108694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.78579945,1 +108695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.107096185,1 +108696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.253824638,1 +108697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.507178801,1 +108698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.517582856,1 +108700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.950891284,1 +108701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.429629042,1 +108699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.264727518,1 +108702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.188212761,1 +108703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.543827876,1 +108705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.794690137,1 +108704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.534093568,1 +108708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.205895314,1 +108706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.052872122,1 +108707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.963242601,1 +108709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.044334541,1 +108711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.710023078,1 +108710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.050279587,1 +108712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.876530614,1 +108713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.598334188,1 +108714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.790910883,1 +108715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.383002857,1 +108716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.731638023,1 +108717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.844887222,1 +108718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.223822882,1 +108719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.651258448,1 +108720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.429772919,1 +108721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.408168395,1 +108722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.331849764,1 +108723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.144517077,1 +108724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.406578472,1 +108725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.159056385,1 +108726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.48070735,1 +108727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.018769285,1 +108728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.237689705,1 +108729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.685598418,1 +108730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.259823985,1 +108731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.813492014,1 +108733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.737490687,1 +108734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.717836372,1 +108735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.289108628,1 +108732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.925583046,1 +108737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.468029247,1 +108738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.831490041,1 +108736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.823255696,1 +108739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.141710757,1 +108740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.313694542,1 +108742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.886862319,1 +108741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.003820498,1 +108743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.972130566,1 +108747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.517700104,1 +108746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.840158341,1 +108745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.268198147,1 +108744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.722152944,1 +108749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.636158756,1 +108751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.145728465,1 +108750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.549295278,1 +108748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.60609013,1 +108752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.53053436,1 +108753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.027176814,1 +108754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.762081545,1 +108755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.031868971,1 +108756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.070488151,1 +108757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.513489019,1 +108758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.382644386,1 +108759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.396669948,1 +108760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.977958025,1 +108762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.790131015,1 +108761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.690225388,1 +108764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.433711839,1 +108765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.936878451,1 +108767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.452171507,1 +108766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.175897432,1 +108768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.048411688,1 +108769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.737325531,1 +108770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.240478367,1 +108763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.44081531,1 +108772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.200821114,1 +108773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.955179058,1 +108771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.137125587,1 +108777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.267796322,1 +108774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.655296725,1 +108776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.019441894,1 +108775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.290997186,1 +108779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.853355696,1 +108778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.98261654,1 +108781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.795972692,1 +108780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.960275792,1 +108782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.487126411,1 +108783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.049187538,1 +108785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.916845841,1 +108784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.9538179,1 +108787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.785546749,1 +108788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.717909946,1 +108789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.241959285,1 +108790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.87832655,1 +108791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.69069893,1 +108786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.199569934,1 +108792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.347302997,1 +108794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.796083184,1 +108793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.868636204,1 +108796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.589514782,1 +108795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.347770437,1 +108798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.344820747,1 +108799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.169851267,1 +108800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.994426856,1 +108797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.413429623,1 +108801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.810669215,1 +108802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.692222179,1 +108804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.610815531,1 +108803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.666180765,1 +108805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.419713242,1 +108806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.525677416,1 +108807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.944988699,1 +108808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.30815809,1 +108809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.529447782,1 +108810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.957190917,1 +108811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.109133208,1 +108814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.987299354,1 +108815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.01232964,1 +108812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.706008018,1 +108813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.355269415,1 +108816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.951705699,1 +108819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.2886148,1 +108818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.550137946,1 +108817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.155940365,1 +108820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.755549153,1 +108821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.622868742,1 +108823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.019205543,1 +108822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.194345431,1 +108824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.085659829,1 +108825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.081029635,1 +108827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.259692538,1 +108826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.851926212,1 +108828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.813919609,1 +108829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.484524153,1 +108830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.534948275,1 +108834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.170916695,1 +108832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.769713275,1 +108831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.387481614,1 +108833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,1.799245812,1 +108836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.271565935,1 +108837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.853669207,1 +108838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.113815007,1 +108835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.429478758,1 +108839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.831850777,1 +108840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.566607818,1 +108841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.947434419,1 +108842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.509804325,1 +108843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.427812711,1 +108845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.101325414,1 +108846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.420415961,1 +108844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.495333355,1 +108847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.982929917,1 +108849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.235537234,1 +108848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.684271562,1 +108852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.78037067,1 +108850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.105112058,1 +108853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.186633806,1 +108851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.677864202,1 +108855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.71982549,1 +108856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.685335681,1 +108854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.583639965,1 +108857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.956380246,1 +108859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.348212775,1 +108860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.336606889,1 +108858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.505339332,1 +108861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.785259027,1 +108862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.029799517,1 +108863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.319249786,1 +108865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.093773984,1 +108864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.22263667,1 +108866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.29333019,1 +108867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.278161149,1 +108869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.38138864,1 +108870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.198631498,1 +108868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.625976755,1 +108873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,8.532534179,1 +108874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.692112367,1 +108871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.540999632,1 +108872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.997495906,1 +108875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.348286627,1 +108876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,8.460326499,1 +108878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.294670599,1 +108877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,8.537833862,1 +108879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.42667409,1 +108880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.230262876,1 +108881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.522133916,1 +108882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.374518998,1 +108883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.880018123,1 +108884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.927577119,1 +108885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.841358812,1 +108886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.313862803,1 +108888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.158367439,1 +108887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.847438802,1 +108891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.231002815,1 +108892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.988745029,1 +108889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.804067977,1 +108890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.031752733,1 +108893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.38148356,1 +108894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.129557603,1 +108895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.556230546,1 +108896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.208667735,1 +108897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.674730458,1 +108898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,8.287968038,1 +108899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.550669529,1 +108901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.54325951,1 +108902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,2.258411657,1 +108900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.76665935,1 +108903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.115955008,1 +108906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.150314075,1 +108907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.407979248,1 +108904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.121974889,1 +108908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.220677927,1 +108905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.559085094,1 +108910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.804913208,1 +108909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.213087388,1 +108912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.472148801,1 +108913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.538338499,1 +108911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.904957361,1 +108914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.101939757,1 +108915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.55226035,1 +108916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.100477104,1 +108919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,9.545220003,1 +108917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.316787173,1 +108918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.816183551,1 +108920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.714301708,1 +108923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.51335917,1 +108922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.746005849,1 +108921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.502224757,1 +108924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.408675,1 +108925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.503374937,1 +108926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.295591862,1 +108929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.613804784,1 +108927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.60076618,1 +108930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.756210397,1 +108928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.799071275,1 +108931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.011094871,1 +108932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,8.943747965,1 +108933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.807404189,1 +108934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.426841992,1 +108935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.674265285,1 +108936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.760873281,1 +108937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.22311989,1 +108938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.257707234,1 +108939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.14210586,1 +108940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.533051479,1 +108942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.394712686,1 +108941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.074614744,1 +108943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.979555578,1 +108944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.211137511,1 +108946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.357944002,1 +108947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.107763778,1 +108945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.925776391,1 +108948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.840946521,1 +108949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.71462568,1 +108950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.797068535,1 +108951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.538758915,1 +108952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.934256106,1 +108953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.220674474,1 +108954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.435091719,1 +108956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.895889451,1 +108955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.716459186,1 +108957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.380644212,1 +108958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.053243856,1 +108959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.427176608,1 +108960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.326932602,1 +108962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.874728697,1 +108961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.477472452,1 +108963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.378162443,1 +108964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.102970067,1 +108965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.560080819,1 +108966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.521828011,1 +108967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.251522519,1 +108968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.046698395,1 +108969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.01644608,1 +108971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.047420758,1 +108970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.173907973,1 +108973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,7.348865617,1 +108972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.647605709,1 +108974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.904364796,1 +108975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.396117547,1 +108976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.015041544,1 +108977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.718850127,1 +108978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.884294385,1 +108979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.065056258,1 +108981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.143113094,1 +108980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.550235745,1 +108983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.472728298,1 +108982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.063742203,1 +108985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.066465803,1 +108984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.972917498,1 +108986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.219120645,1 +108987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.792038091,1 +108988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.735347744,1 +108989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.368533363,1 +108990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,5.78480396,1 +108991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.798730494,1 +108994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.478168316,1 +108992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.579867113,1 +108993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.747324979,1 +108995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.866883213,1 +108998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.197512767,1 +108999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,4.471674783,1 +108997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.211723356,1 +108996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,3.614811888,1 +109000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,9,1,6.412358082,1 +118001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.214085015,1 +118002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.341921726,1 +118003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.152942148,1 +118005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.20793656,1 +118006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.857329583,1 +118007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.31731136,1 +118004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.09221794,1 +118008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.229014457,1 +118009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.580098666,1 +118010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.39942914,1 +118012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.328425784,1 +118013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.610731208,1 +118014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.337239347,1 +118011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.514384208,1 +118017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.548071201,1 +118018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.58860432,1 +118016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.007402248,1 +118015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.59553492,1 +118019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.4525334,1 +118021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.576676772,1 +118022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.642756918,1 +118023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.721475537,1 +118020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.670524119,1 +118024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.615952709,1 +118025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.967840623,1 +118026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.2763659,1 +118028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.69998596,1 +118029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.478223373,1 +118027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.952203751,1 +118030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.695336455,1 +118032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.855794972,1 +118031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.081992556,1 +118033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.094858888,1 +118034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.118300865,1 +118036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.979849589,1 +118035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.623496793,1 +118037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.699521579,1 +118038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.98061399,1 +118039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.026236734,1 +118040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.116995932,1 +118042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.288896204,1 +118044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.867231016,1 +118043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,7.861236255,1 +118045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.00455124,1 +118041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.570765306,1 +118047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.152306623,1 +118046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.654659773,1 +118049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.295799877,1 +118048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.249974289,1 +118050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.524574963,1 +118052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.063751306,1 +118051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.809068826,1 +118053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.561937576,1 +118054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.345770636,1 +118055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.377379132,1 +118057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.952837682,1 +118056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.881116774,1 +118058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.278061018,1 +118060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.467111358,1 +118061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.846747097,1 +118059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.808320279,1 +118062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.826464944,1 +118064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.891923296,1 +118063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.335666569,1 +118065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.068198834,1 +118066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.845636603,1 +118067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.031225571,1 +118068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.41881972,1 +118069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.296953726,1 +118070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.862082649,1 +118071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,7.138744202,1 +118072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.587851413,1 +118073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.298455032,1 +118074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.823168004,1 +118076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.093997015,1 +118075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.13567219,1 +118078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.517017847,1 +118080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.753203576,1 +118079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.112737639,1 +118077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.787018931,1 +118081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.925094581,1 +118082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.046871344,1 +118083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.10568384,1 +118086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.269776721,1 +118085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.922573025,1 +118084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.390806816,1 +118087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.23820073,1 +118088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.00385547,1 +118089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.09167941,1 +118090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.425730035,1 +118091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.268929361,1 +118092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.894554041,1 +118093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.656009227,1 +118095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.661417321,1 +118094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.299790049,1 +118096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.329750038,1 +118097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.768316247,1 +118098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.048254817,1 +118099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.857747271,1 +118101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.503695618,1 +118102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.512962039,1 +118100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.27903717,1 +118104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.667702486,1 +118103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.002161304,1 +118105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.214010974,1 +118106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.862339829,1 +118107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.307341425,1 +118108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.425077235,1 +118110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.864894563,1 +118109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.825727801,1 +118111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.135155169,1 +118112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.71448324,1 +118113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.698947794,1 +118115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.963926514,1 +118116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.446578912,1 +118117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.547777191,1 +118114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.216910788,1 +118118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.437123029,1 +118119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.702123399,1 +118120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.185800321,1 +118123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.11973081,1 +118121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.004957392,1 +118122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,7.708075969,1 +118124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.372378869,1 +118125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.534711041,1 +118126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.335972302,1 +118127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.766868365,1 +118128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.682506065,1 +118129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.660267553,1 +118130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.130350053,1 +118131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.353574163,1 +118132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.479902436,1 +118134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.725468713,1 +118135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.861519925,1 +118136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.818213082,1 +118138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.632184685,1 +118133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.987467258,1 +118139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.177995764,1 +118137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.077753592,1 +118141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.725466864,1 +118143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.102151135,1 +118140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.939832161,1 +118142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.752485004,1 +118144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.189580301,1 +118145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.022474731,1 +118146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,1.582605431,1 +118147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.134663188,1 +118148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.707355985,1 +118149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.723598468,1 +118151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.763455511,1 +118150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.874568192,1 +118154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.189615032,1 +118155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.893728547,1 +118153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.512313288,1 +118152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.978736017,1 +118157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.338515076,1 +118156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.665283627,1 +118158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.564531778,1 +118159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.387024952,1 +118160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.800503444,1 +118161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.185258149,1 +118162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.667990955,1 +118163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.957769058,1 +118164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.222573596,1 +118165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.079164595,1 +118166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.176067655,1 +118169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.514723112,1 +118168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.371296456,1 +118170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.344437878,1 +118167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.748048816,1 +118171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.202271692,1 +118172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.248468269,1 +118175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.017686367,1 +118173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.39584899,1 +118174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.683450514,1 +118176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.447149764,1 +118177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.480012776,1 +118178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.005107063,1 +118179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.52925477,1 +118180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.972074517,1 +118181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.403613391,1 +118182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.245879492,1 +118184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.837748776,1 +118183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.42771572,1 +118185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.186435071,1 +118187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.148875392,1 +118186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.016551047,1 +118189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.164700226,1 +118190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.00652002,1 +118188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.100943292,1 +118192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.162809588,1 +118193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.586160491,1 +118191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.792587386,1 +118194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.12832171,1 +118195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.56745156,1 +118196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.008964821,1 +118198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.439316857,1 +118197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.829650145,1 +118201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.396560941,1 +118202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.657875231,1 +118199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.20394155,1 +118200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.465870246,1 +118205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.313267082,1 +118206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.2944423,1 +118203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.844970327,1 +118204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.253245988,1 +118208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.538596726,1 +118207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.617941837,1 +118210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.64357481,1 +118211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.175117036,1 +118212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.944438908,1 +118213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.594047373,1 +118209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.998592625,1 +118216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.686155111,1 +118215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.111022463,1 +118217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.631012525,1 +118214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.285092904,1 +118219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.152631194,1 +118220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.071566466,1 +118221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.547933567,1 +118218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.535961087,1 +118222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.619270142,1 +118223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.046576684,1 +118225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.261040846,1 +118227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,7.452629348,1 +118224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.785888356,1 +118226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.612126835,1 +118230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.590000841,1 +118229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.563374377,1 +118228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.567474115,1 +118231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.440858265,1 +118232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.333837967,1 +118233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.905729065,1 +118234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,7.451849029,1 +118235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.645440103,1 +118237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.661292407,1 +118238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.02696075,1 +118236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.466908099,1 +118240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.252320295,1 +118241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.092565095,1 +118242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.168273379,1 +118243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.689758764,1 +118244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.225582061,1 +118245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.461385428,1 +118239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.609130861,1 +118248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.582376399,1 +118246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.130017422,1 +118249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.599650527,1 +118247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.21101541,1 +118250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.215043575,1 +118251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.579754225,1 +118252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.72227725,1 +118253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.764027748,1 +118255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.334907254,1 +118256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.034766551,1 +118257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.591874937,1 +118258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.013721419,1 +118254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.563134839,1 +118259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.563775402,1 +118260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.474365668,1 +118262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.885365423,1 +118261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.744813443,1 +118264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.851240322,1 +118263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.173487927,1 +118265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.005925765,1 +118266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.822391941,1 +118267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.484655079,1 +118268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.645566268,1 +118269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.231716872,1 +118270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.684591558,1 +118271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.150093715,1 +118274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.534857474,1 +118273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.999616918,1 +118276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.939724125,1 +118272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.397797771,1 +118275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.805005718,1 +118277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.306070591,1 +118278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.643170867,1 +118279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.775919138,1 +118280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.596196802,1 +118281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.318247927,1 +118282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.890852412,1 +118283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,7.677268078,1 +118284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.776617062,1 +118286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.805152758,1 +118287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.486515505,1 +118285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.815530063,1 +118288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,7.006258738,1 +118291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.045072354,1 +118290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.967786915,1 +118289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.211308698,1 +118292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.409878188,1 +118295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.717683013,1 +118294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.832792979,1 +118293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.739324983,1 +118296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.420511965,1 +118297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.837759432,1 +118298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.558566518,1 +118300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.649722873,1 +118299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.033867566,1 +118301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.28500918,1 +118303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.82350961,1 +118302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.851296027,1 +118304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.512298936,1 +118305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.340177756,1 +118306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.429625315,1 +118307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.522931032,1 +118308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.092764247,1 +118309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.52585773,1 +118310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.752629063,1 +118311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,7.465994618,1 +118313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.192140739,1 +118312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.684580096,1 +118314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.820490959,1 +118315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.462918562,1 +118316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.661738311,1 +118317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.662621465,1 +118318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.037976436,1 +118319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.853367107,1 +118321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.258291711,1 +118320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.413280935,1 +118322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.174244122,1 +118323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.124645117,1 +118325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.788394516,1 +118327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.686073192,1 +118326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.291192625,1 +118328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.460814907,1 +118330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.823571102,1 +118329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.268827204,1 +118324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.079036272,1 +118331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.289063848,1 +118332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.714894362,1 +118333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.040058089,1 +118335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.244640273,1 +118334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.124490664,1 +118336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.700945199,1 +118337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.769737926,1 +118339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.638148761,1 +118340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.405546343,1 +118338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.240845145,1 +118341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.559057251,1 +118343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.819380517,1 +118344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.659679062,1 +118345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.831110113,1 +118346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.402161325,1 +118347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.254805595,1 +118348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.81991603,1 +118342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,7.303398938,1 +118350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.78441849,1 +118349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.377361916,1 +118351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.363743905,1 +118352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.118994954,1 +118354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.010366115,1 +118353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.376590358,1 +118356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.410425075,1 +118355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.421936956,1 +118357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.084344971,1 +118358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.374272085,1 +118360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.627360976,1 +118359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.914588712,1 +118361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.837804271,1 +118362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.687006,1 +118363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.316047439,1 +118365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.24676727,1 +118366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.978106535,1 +118367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.992630401,1 +118364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.526113354,1 +118368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.660744099,1 +118369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.146058795,1 +118370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,7.609129087,1 +118371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.490712613,1 +118372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.831576943,1 +118373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.511610208,1 +118374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.982086476,1 +118375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.779097702,1 +118376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.829682691,1 +118377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.918081378,1 +118378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.88404703,1 +118380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.923484983,1 +118381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.407660726,1 +118382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.592507753,1 +118379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.496881962,1 +118384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.752291647,1 +118383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.005795826,1 +118385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.14798788,1 +118386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.787067388,1 +118387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.998147059,1 +118388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.715148222,1 +118389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.181523718,1 +118391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.603148542,1 +118392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.100647329,1 +118390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.028883658,1 +118393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.168570088,1 +118394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.520338928,1 +118395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.11933052,1 +118396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.582704924,1 +118397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.818738185,1 +118398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.253339472,1 +118399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.810961284,1 +118401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.345271673,1 +118402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.015773742,1 +118403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.217865731,1 +118400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.462822277,1 +118404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.027726197,1 +118405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.660833113,1 +118406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.956151439,1 +118407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.030651165,1 +118408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.014890629,1 +118409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.999796684,1 +118410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.262312353,1 +118411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.021942426,1 +118412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.814839026,1 +118414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.746869337,1 +118413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.043949785,1 +118415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.182076985,1 +118417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.436915004,1 +118416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.279812468,1 +118418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.432720737,1 +118420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.315141951,1 +118421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.401393954,1 +118422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.527739327,1 +118419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.483927537,1 +118423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.481737311,1 +118425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.183720397,1 +118424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.724199122,1 +118426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.304573147,1 +118428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.093987602,1 +118429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.462979032,1 +118427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,7.098996549,1 +118430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.420626067,1 +118433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.257140753,1 +118431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.964025424,1 +118435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.844266698,1 +118432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.698591339,1 +118436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.205003466,1 +118437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.758169482,1 +118434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.045064812,1 +118438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.618325212,1 +118439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.498811736,1 +118442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.44463898,1 +118443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.199535548,1 +118440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.445154533,1 +118441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.321854354,1 +118444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.694250804,1 +118446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.717916053,1 +118445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,7.099607065,1 +118447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.875246951,1 +118449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.905395024,1 +118450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.35827335,1 +118451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.058529687,1 +118448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.214250549,1 +118452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.108889877,1 +118453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.773047344,1 +118455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.612293419,1 +118456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.08041633,1 +118457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.731701057,1 +118458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.276524408,1 +118454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.109996063,1 +118460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.068386434,1 +118461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.364295966,1 +118459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.902194431,1 +118462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.209296903,1 +118463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,7.313703854,1 +118465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.849539119,1 +118466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.46690494,1 +118467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.108238783,1 +118468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.579423688,1 +118469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.587584267,1 +118470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.091897096,1 +118464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.945702128,1 +118471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.329153925,1 +118474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.117477055,1 +118473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.570411558,1 +118472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.541783483,1 +118475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.428046669,1 +118476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.134363444,1 +118477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.388880493,1 +118478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.344145772,1 +118480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.589470152,1 +118479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.783729546,1 +118481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.608752198,1 +118484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.723451758,1 +118482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.495038189,1 +118485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.245864877,1 +118486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.605759776,1 +118483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.953617441,1 +118488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.85624645,1 +118489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.1384007,1 +118487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.157369393,1 +118490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.851882966,1 +118491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.326755013,1 +118492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.222226839,1 +118494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.899610601,1 +118493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.346349014,1 +118495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.026387707,1 +118496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.229263707,1 +118498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.404633618,1 +118497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.88657452,1 +118499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.100195387,1 +118500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.83476102,1 +118501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.274714568,1 +118503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.781097912,1 +118504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.38300957,1 +118502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.410256242,1 +118505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.866824498,1 +118506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.997215776,1 +118508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.763290179,1 +118507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.832320758,1 +118509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.325449063,1 +118510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.012217598,1 +118512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.163556828,1 +118511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.111276706,1 +118515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.171091975,1 +118514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.858199806,1 +118516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.287011436,1 +118513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.063336106,1 +118520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.920766951,1 +118518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.372532687,1 +118517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.372387561,1 +118519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.137024623,1 +118522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.022391983,1 +118523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.97393434,1 +118521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.346049129,1 +118524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.658823903,1 +118526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.864409792,1 +118525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.390613618,1 +118528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.526546218,1 +118527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.812702948,1 +118529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.554586312,1 +118530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.131133517,1 +118531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.093882507,1 +118533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.118055688,1 +118532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.627020862,1 +118535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.684199861,1 +118534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.241428659,1 +118537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,1.918815196,1 +118538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.654509619,1 +118539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,1.902943703,1 +118536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.276117406,1 +118540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.005419095,1 +118541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.738960467,1 +118542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.016698661,1 +118544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.035715691,1 +118545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.40594715,1 +118546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.462738679,1 +118543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.093518171,1 +118547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.203164635,1 +118549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.701722782,1 +118550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.275415473,1 +118548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.769348815,1 +118551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.987455474,1 +118552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.868795771,1 +118553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.819450175,1 +118554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.868007869,1 +118555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.084469667,1 +118556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.849778671,1 +118558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.832016163,1 +118559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.384657108,1 +118560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.061759302,1 +118561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.160567415,1 +118562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.060658674,1 +118557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.059328334,1 +118563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.31792774,1 +118565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.193407834,1 +118564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.713491669,1 +118567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.243991329,1 +118568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.128858249,1 +118566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.025076352,1 +118569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.911038246,1 +118570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.985467838,1 +118571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.672640137,1 +118573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.281500552,1 +118572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.079523812,1 +118575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.805207016,1 +118574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.933537192,1 +118576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.687047699,1 +118579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.944420895,1 +118578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.104803457,1 +118580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.097215908,1 +118577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.561084051,1 +118581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.335865886,1 +118582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.343014375,1 +118583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.272784046,1 +118584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,7.019697102,1 +118585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.607063713,1 +118586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.535959123,1 +118587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.900674523,1 +118588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,8.709754935,1 +118589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.705427131,1 +118590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.706158881,1 +118591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.790986673,1 +118592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.824614351,1 +118593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.75307547,1 +118594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.036961653,1 +118595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.94688909,1 +118597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.272638699,1 +118596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,7.738281489,1 +118598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.069525956,1 +118599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.666274719,1 +118600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.81525172,1 +118601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.537974723,1 +118602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.444758629,1 +118603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.06386071,1 +118604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.501069569,1 +118606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.208611719,1 +118605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.577172234,1 +118607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.479531106,1 +118608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.437822324,1 +118610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.385073452,1 +118609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.439936543,1 +118611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,7.682449512,1 +118612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.903805124,1 +118614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.367495912,1 +118615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.998032698,1 +118613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.577694332,1 +118616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.018479788,1 +118617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.907517704,1 +118620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.719563142,1 +118619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.074881634,1 +118621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.989998773,1 +118618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.018839597,1 +118622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.273269277,1 +118623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.680890068,1 +118625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.871216446,1 +118624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.817422168,1 +118626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.031699008,1 +118627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,7.653412116,1 +118629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.311193788,1 +118630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.352063298,1 +118628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.613406186,1 +118632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.198833965,1 +118633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.483360285,1 +118634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.185265605,1 +118631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.199728054,1 +118635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.471959101,1 +118636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.243655266,1 +118637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.539901586,1 +118638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,7.022534453,1 +118641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.328881354,1 +118639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.61341557,1 +118643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.614218023,1 +118642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.738792627,1 +118640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.833152253,1 +118644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.311468855,1 +118647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.984271028,1 +118648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.209042894,1 +118645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.20648668,1 +118649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.140540136,1 +118646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.116409663,1 +118650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.261184531,1 +118651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.01466561,1 +118652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.997491362,1 +118655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.117710375,1 +118654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.246322846,1 +118653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.315922702,1 +118657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.330741664,1 +118656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.339477457,1 +118658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.547044057,1 +118659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.811955746,1 +118661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.29001343,1 +118662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.677177145,1 +118663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.128896766,1 +118664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.223076368,1 +118665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.806327154,1 +118660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.449254979,1 +118667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.856463839,1 +118668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.752614523,1 +118669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.05404109,1 +118666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.35177118,1 +118672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.921796517,1 +118670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.739619648,1 +118673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.209608028,1 +118671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.009405015,1 +118674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.966246246,1 +118675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.984292844,1 +118677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.747631754,1 +118676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.515525472,1 +118679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.54503524,1 +118680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.600539313,1 +118681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.70081409,1 +118678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.608938324,1 +118682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.965042054,1 +118683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,7.087086132,1 +118685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.803373961,1 +118686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.438013089,1 +118684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.47712983,1 +118687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.523733368,1 +118688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.964341369,1 +118689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.524441552,1 +118691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.435955739,1 +118690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.575026175,1 +118692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.02611848,1 +118693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.284816564,1 +118694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.02925292,1 +118695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.62357043,1 +118696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.359154873,1 +118697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.735426395,1 +118698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.527625182,1 +118700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,7.191630062,1 +118699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.574876499,1 +118701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.288019413,1 +118702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.435303137,1 +118703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.839919904,1 +118704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.134832557,1 +118705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,1.980945053,1 +118706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.709844941,1 +118707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.144577009,1 +118708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.716819629,1 +118709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.682317287,1 +118710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.82867027,1 +118712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.000941497,1 +118713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.235148571,1 +118714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.098562177,1 +118711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.941285798,1 +118716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.762967763,1 +118717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.064604208,1 +118718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.15153438,1 +118715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.5048477,1 +118719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.536174967,1 +118720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.84140892,1 +118721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.817964064,1 +118723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.129069208,1 +118722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.083776535,1 +118724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.076773864,1 +118725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.168943657,1 +118728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.637126006,1 +118727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.840971678,1 +118729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.011898628,1 +118726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.231993156,1 +118733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.675034661,1 +118730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.220182739,1 +118731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.56139614,1 +118732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.841387476,1 +118735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.222635684,1 +118734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.285622014,1 +118737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.982644388,1 +118738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.291416286,1 +118739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.723722077,1 +118740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.060666041,1 +118736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.181784293,1 +118741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.231442336,1 +118742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.906474749,1 +118743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.672652038,1 +118745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.421825901,1 +118746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.18750245,1 +118744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.766664118,1 +118747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.347004764,1 +118748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.226415523,1 +118749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.422588516,1 +118750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.273080684,1 +118751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.448027484,1 +118752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.284413489,1 +118755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.054159231,1 +118754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.968244058,1 +118756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.29055083,1 +118753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.073337574,1 +118757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.985400757,1 +118758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.994060213,1 +118759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.219777985,1 +118762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.21783415,1 +118760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.995463681,1 +118761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.075347691,1 +118763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.766840766,1 +118764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.655262707,1 +118765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.726478184,1 +118767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.807348722,1 +118768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.830640915,1 +118766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.686737589,1 +118769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.814477168,1 +118770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.900139856,1 +118771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.81877617,1 +118772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.693543444,1 +118774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.924160247,1 +118775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.894347824,1 +118776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,1.871472885,1 +118773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.848163692,1 +118777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.419461371,1 +118778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.324485502,1 +118781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.461492832,1 +118780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.226215987,1 +118782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.362164066,1 +118779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.07259827,1 +118783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.271751646,1 +118784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.668940464,1 +118785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.729415667,1 +118787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.935166523,1 +118786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.296795277,1 +118788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.786277411,1 +118789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.050999465,1 +118790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.366657636,1 +118791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.706270018,1 +118793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.510194054,1 +118792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.930662291,1 +118795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.393603494,1 +118794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.219434202,1 +118796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.803732717,1 +118797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.767943892,1 +118799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.079854033,1 +118800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.676250704,1 +118798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.048104503,1 +118801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.12579411,1 +118802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.942332278,1 +118803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.24406455,1 +118805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,7.868597859,1 +118806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.498804912,1 +118804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.111184285,1 +118807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.350693424,1 +118810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.244997658,1 +118808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.334685833,1 +118809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.184813282,1 +118811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.637619384,1 +118812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.064177043,1 +118813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.408032248,1 +118814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.867211535,1 +118815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.03982202,1 +118818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.910009414,1 +118817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.731797313,1 +118819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.205629415,1 +118816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.935861051,1 +118820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.155927426,1 +118822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.726872772,1 +118821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.172200608,1 +118823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.939885868,1 +118824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.611051072,1 +118826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.54934428,1 +118827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.029577481,1 +118825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,7.000609765,1 +118828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.383686729,1 +118829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.191258868,1 +118830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.728865319,1 +118831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.539420923,1 +118832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.697295221,1 +118833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.487602014,1 +118836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.414708513,1 +118835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.180653579,1 +118834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.810145096,1 +118837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,7.601982701,1 +118838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.08151447,1 +118840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.239206099,1 +118839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.64067433,1 +118841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.368049174,1 +118843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.502587083,1 +118842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,7.691880633,1 +118844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.165027687,1 +118845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.716419541,1 +118846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.962803741,1 +118847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.40314385,1 +118849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.513954321,1 +118848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.291818904,1 +118850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.074390924,1 +118851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.108968714,1 +118852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.361991677,1 +118853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.094460026,1 +118854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.85340464,1 +118855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.604868389,1 +118856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.482997203,1 +118858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.335965672,1 +118859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.514322628,1 +118860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.765719084,1 +118861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.280568912,1 +118862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.488968454,1 +118857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.262368165,1 +118863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.587939207,1 +118864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.270898174,1 +118865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.477655808,1 +118867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.713329489,1 +118866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.092574905,1 +118868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.064197565,1 +118869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.880897381,1 +118870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.993617985,1 +118871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.229961516,1 +118872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.755641554,1 +118874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.174987063,1 +118873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.307615921,1 +118875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.157821273,1 +118876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.413403873,1 +118877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.245896454,1 +118878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.110443063,1 +118880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.872517747,1 +118881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.055124936,1 +118882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.091636176,1 +118879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.303279301,1 +118883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.502082733,1 +118884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.54407677,1 +118886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.750116558,1 +118885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.601019584,1 +118887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.225813493,1 +118888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.83111021,1 +118890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.527704612,1 +118891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.184722654,1 +118889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.161619657,1 +118892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.101363827,1 +118894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.402590185,1 +118893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.685059177,1 +118896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.487886419,1 +118897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.184422126,1 +118898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.992795039,1 +118895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.112271221,1 +118899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.020505857,1 +118900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.519716931,1 +118901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.697091934,1 +118902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.964722803,1 +118903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.582473299,1 +118904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.033504525,1 +118905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.511206825,1 +118906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.945524812,1 +118908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.233636862,1 +118907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.593895101,1 +118909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.539992344,1 +118910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.372159333,1 +118911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.849759863,1 +118912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.003252382,1 +118913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.745895692,1 +118916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.916858039,1 +118915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.743963136,1 +118917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.943337016,1 +118914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.167718268,1 +118918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.324271853,1 +118919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.58044496,1 +118920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.119409642,1 +118922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.416561052,1 +118923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.697257508,1 +118924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.793488715,1 +118921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.949032732,1 +118926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.684052999,1 +118925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.030323394,1 +118927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.747112377,1 +118928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,8.446923865,1 +118929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.731005917,1 +118930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.659290252,1 +118931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.281469831,1 +118932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,8.439722953,1 +118933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.254923782,1 +118934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.201948929,1 +118935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.66234353,1 +118937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.035274414,1 +118938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.917877803,1 +118939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.678026586,1 +118940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.221141273,1 +118941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.938375304,1 +118936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,7.447517607,1 +118942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.294750026,1 +118943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.129381173,1 +118944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.229392639,1 +118945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.710871616,1 +118946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.859856303,1 +118947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.212553401,1 +118948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.075851256,1 +118950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.706445032,1 +118949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.136428457,1 +118951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.207444931,1 +118952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.555287833,1 +118953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.31597424,1 +118954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.050049749,1 +118956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.654710303,1 +118955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.729328592,1 +118957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.522355029,1 +118959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.886630811,1 +118960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.593072552,1 +118961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.437523869,1 +118958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.029548376,1 +118962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.92952432,1 +118963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.201181364,1 +118964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.007887726,1 +118966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.53694717,1 +118965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.791916411,1 +118967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.376178049,1 +118968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.631515255,1 +118969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.725288454,1 +118971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.007369728,1 +118970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.997256421,1 +118972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.988761433,1 +118974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,6.259614654,1 +118973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.417854803,1 +118975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.244075782,1 +118976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.433698728,1 +118977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.490915887,1 +118978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.796266423,1 +118980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.817111229,1 +118979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,7.010321485,1 +118981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.31486068,1 +118982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.037029289,1 +118983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.534907526,1 +118984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,7.100375142,1 +118985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.513433154,1 +118986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.475646794,1 +118987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.533798687,1 +118988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.428394597,1 +118991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.66444591,1 +118989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.879440579,1 +118990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.488609051,1 +118993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,3.154324137,1 +118994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.52965331,1 +118995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.298094939,1 +118992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,5.693972309,1 +118996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,2.020072108,1 +118997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.106646705,1 +118998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.315959634,1 +118999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.222158829,1 +119000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,9,1,4.899524189,1 +128001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.227036832,1 +128002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,7.459032183,1 +128003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.324983639,1 +128004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.229615514,1 +128006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.473111456,1 +128005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.925428209,1 +128007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.924283398,1 +128010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.417462005,1 +128009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.657074356,1 +128011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.986604701,1 +128012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.362654437,1 +128008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.434801857,1 +128013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.701564433,1 +128015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.887065049,1 +128014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.439233494,1 +128016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.353216262,1 +128017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.747486397,1 +128018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.033258305,1 +128020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.381219272,1 +128019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.31409334,1 +128021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.799284901,1 +128024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.819294004,1 +128022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,7.099314088,1 +128023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.223252948,1 +128025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.246087516,1 +128027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.568640186,1 +128029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.044354362,1 +128026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.878383086,1 +128028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.7004029,1 +128030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.39323408,1 +128031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.177813826,1 +128033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.676127598,1 +128034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.624683251,1 +128032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.110148794,1 +128036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.067223715,1 +128035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.899585713,1 +128038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.620745602,1 +128037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.169431201,1 +128040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.771749086,1 +128041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.058753443,1 +128042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.85415961,1 +128039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.516645678,1 +128043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.565144504,1 +128045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.877875201,1 +128044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.177899032,1 +128047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.667928944,1 +128048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.416623932,1 +128046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.476638045,1 +128049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.197066196,1 +128053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.697728319,1 +128050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.263607971,1 +128051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.810825237,1 +128052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.861669571,1 +128054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.474266176,1 +128055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,1.843735143,1 +128056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.804813118,1 +128057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.192106212,1 +128059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.38395805,1 +128060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.384629033,1 +128058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.533236183,1 +128061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.779560352,1 +128062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.668864256,1 +128063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.886195422,1 +128064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.298080934,1 +128065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.752285783,1 +128068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.918362241,1 +128067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.715411476,1 +128066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.596626264,1 +128069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.221364565,1 +128070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.594668534,1 +128071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.841503514,1 +128072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.848688503,1 +128073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,7.234426191,1 +128074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.017470047,1 +128075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.362286188,1 +128076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.807214421,1 +128077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.253908522,1 +128079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.526315159,1 +128080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.451739811,1 +128078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.001531551,1 +128081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.028197064,1 +128082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.651008713,1 +128084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.576754584,1 +128083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.297591459,1 +128085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.298593539,1 +128086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.801373051,1 +128087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.06388241,1 +128088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.374914376,1 +128089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.243095772,1 +128090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.772350836,1 +128091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.374481818,1 +128092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.160588059,1 +128094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.375970834,1 +128096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.986268589,1 +128095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.227629573,1 +128097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.010746635,1 +128099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.052933552,1 +128098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.913901611,1 +128093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.369614058,1 +128100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.520105128,1 +128101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.730524533,1 +128103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.64380397,1 +128102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.740244442,1 +128104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.328849992,1 +128105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.286619247,1 +128107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.898872765,1 +128106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.896224441,1 +128108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.364605949,1 +128110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.258801419,1 +128112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.075105696,1 +128111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.192964761,1 +128109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.219140982,1 +128113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.198792166,1 +128114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.77848057,1 +128115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.783399744,1 +128117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.091685156,1 +128116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.112815867,1 +128118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.371040193,1 +128119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.55689376,1 +128120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.051767814,1 +128121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.872483708,1 +128122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.031787964,1 +128123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.167445533,1 +128124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.416207583,1 +128125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.825538636,1 +128126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.704065167,1 +128128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.778525743,1 +128129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.20556265,1 +128130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.602310909,1 +128131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.650745316,1 +128132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.435195831,1 +128127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.990000292,1 +128133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.34546095,1 +128134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.806853697,1 +128135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.302641437,1 +128137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.029110689,1 +128136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.272507926,1 +128138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.916727438,1 +128139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.273420666,1 +128140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.708927356,1 +128143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.292709971,1 +128141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.494999792,1 +128142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,1.789140527,1 +128144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.802098744,1 +128146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.484878044,1 +128145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.57490177,1 +128147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.107627133,1 +128150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.244089534,1 +128149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,1.857121985,1 +128148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.411675845,1 +128152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.849797688,1 +128153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,7.161370883,1 +128154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.939805799,1 +128151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.978566467,1 +128157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.451726685,1 +128155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.020508527,1 +128156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.358549058,1 +128158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.546015146,1 +128160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.947992284,1 +128159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.276590875,1 +128161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.881009048,1 +128163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.873458337,1 +128162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.314877452,1 +128165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.984182225,1 +128164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.368743403,1 +128166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.703627181,1 +128167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.181490093,1 +128168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.022369566,1 +128169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.327938037,1 +128170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.333177846,1 +128171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.505820064,1 +128172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.115278158,1 +128174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.125592421,1 +128173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.174279622,1 +128176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.767052807,1 +128175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.927010416,1 +128177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.344596377,1 +128178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.41468277,1 +128179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.123303898,1 +128180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.932946181,1 +128181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.847088284,1 +128182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.988974054,1 +128183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.245516899,1 +128184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.936344166,1 +128185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.259666014,1 +128186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.806424229,1 +128187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.300477987,1 +128188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.663718764,1 +128190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.520106743,1 +128189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.065194701,1 +128191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.331003209,1 +128192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.583212325,1 +128193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.834858226,1 +128194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.870476795,1 +128195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.043712889,1 +128196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.331735714,1 +128198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.908066936,1 +128197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,1.881865927,1 +128199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.252688963,1 +128200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.897535957,1 +128201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.112545912,1 +128202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.511614711,1 +128203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.454722694,1 +128204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.250899406,1 +128206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.627272206,1 +128205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.800047105,1 +128208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.783952504,1 +128207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.157398174,1 +128209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.226355573,1 +128210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.058637183,1 +128212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.228276983,1 +128213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.518359017,1 +128214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,8.279071984,1 +128211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.851529851,1 +128215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.926613156,1 +128216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.876990769,1 +128217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.637789162,1 +128218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.842368312,1 +128220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.901862192,1 +128219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.708570616,1 +128221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.812078908,1 +128223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.138247383,1 +128224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.113583469,1 +128225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.387886781,1 +128222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.416517255,1 +128227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.991371029,1 +128226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.685494343,1 +128228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.873736189,1 +128231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,7.000596397,1 +128230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.420847138,1 +128229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.663749713,1 +128232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.107099273,1 +128233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.534242868,1 +128235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.75258388,1 +128234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.292396881,1 +128236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.208103969,1 +128237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.981573718,1 +128238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.549451151,1 +128239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.840512332,1 +128240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.074088044,1 +128241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.233948833,1 +128244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.712319945,1 +128243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.792715196,1 +128245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.674516359,1 +128242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.467859667,1 +128246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.759811961,1 +128247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.022265029,1 +128248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.089957952,1 +128250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.040532637,1 +128249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.775799901,1 +128251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.762465727,1 +128252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.355704139,1 +128253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.960622133,1 +128255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.644103296,1 +128254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.83727306,1 +128256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.91928408,1 +128257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,1.992027645,1 +128258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.249089809,1 +128259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.97632205,1 +128260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.307143966,1 +128261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.668880824,1 +128262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.661058603,1 +128264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.135624429,1 +128265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.929142824,1 +128266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.969107546,1 +128263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.503252739,1 +128268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.17584331,1 +128267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.037575128,1 +128269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.448462458,1 +128270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,1.988769022,1 +128272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.057518136,1 +128271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.83955454,1 +128273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.430526859,1 +128274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.043110963,1 +128276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.456185419,1 +128275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.514168315,1 +128277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.180631192,1 +128280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.410479314,1 +128278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.85058396,1 +128281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.444520524,1 +128279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.75534214,1 +128282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.886787444,1 +128285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.850186936,1 +128283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.958690083,1 +128284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.673807213,1 +128286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,1.993328631,1 +128287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.894023259,1 +128288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.16667189,1 +128289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,1.946964349,1 +128290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.600760674,1 +128291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.107921744,1 +128294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.285226907,1 +128295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.055324029,1 +128292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.310959529,1 +128293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.827274622,1 +128298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.297137513,1 +128296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.404018007,1 +128297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.557830839,1 +128299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.621656706,1 +128301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.497595106,1 +128302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.630145208,1 +128300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.875606162,1 +128305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.101377172,1 +128304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.020892637,1 +128306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.492716828,1 +128307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.729822439,1 +128308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.488560111,1 +128303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.310187829,1 +128309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.831249164,1 +128312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.173645697,1 +128310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.796292745,1 +128311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.24014254,1 +128313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.18045719,1 +128314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.701764596,1 +128315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.989926392,1 +128316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.65888793,1 +128318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.154342096,1 +128317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.616715414,1 +128319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.234724764,1 +128320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.856061747,1 +128323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.09482778,1 +128324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.254531325,1 +128322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.042862614,1 +128321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.241812608,1 +128328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.14053614,1 +128327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.886852774,1 +128325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.096368837,1 +128326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.250602799,1 +128329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.762222022,1 +128331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.010125539,1 +128332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,1.019659353,1 +128333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.66401834,1 +128334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.239143321,1 +128330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.39196935,1 +128335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.055967405,1 +128339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.151106314,1 +128337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.098506909,1 +128336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.047324688,1 +128338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.015532669,1 +128340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.003342482,1 +128342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.110692528,1 +128343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.741053198,1 +128341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.11300234,1 +128344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.738550011,1 +128345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,7.204887351,1 +128346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.774860411,1 +128347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.266205438,1 +128348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.384553411,1 +128349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.150126697,1 +128351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.146363452,1 +128352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.973960415,1 +128350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.022074599,1 +128354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.576769814,1 +128353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.594231,1 +128356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.906978273,1 +128355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.473935822,1 +128358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.20830765,1 +128357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.067444091,1 +128359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.747599083,1 +128360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,8.232494207,1 +128361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.705186071,1 +128362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.035763794,1 +128364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.725906799,1 +128363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.145201763,1 +128365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.152956119,1 +128366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.341543723,1 +128367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.832054107,1 +128370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.535963621,1 +128371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.464547698,1 +128369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.19082449,1 +128368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.500350677,1 +128372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.175768423,1 +128374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.007118381,1 +128373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.930395768,1 +128375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.907795118,1 +128376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.446015115,1 +128377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.079208154,1 +128378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.760689634,1 +128380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.444191009,1 +128379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.193950206,1 +128381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.412930255,1 +128382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.415485459,1 +128383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.025600791,1 +128384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.128049203,1 +128386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.911885412,1 +128387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,1.930396925,1 +128385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.257080218,1 +128390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.445370409,1 +128389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.78284455,1 +128391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.241260063,1 +128388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.244017696,1 +128392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.373076966,1 +128393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.950342123,1 +128394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.221518801,1 +128395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.10059778,1 +128396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.419941364,1 +128397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.194826047,1 +128398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.675140093,1 +128399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.995495093,1 +128400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.989773264,1 +128401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.472099266,1 +128402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.969357068,1 +128404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.237638992,1 +128405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.996379156,1 +128406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.595682599,1 +128403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.612988674,1 +128407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.617881167,1 +128409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.071794157,1 +128408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.743498465,1 +128410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.199239159,1 +128411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.841066807,1 +128412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.417183928,1 +128413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.302794912,1 +128414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.3000313,1 +128415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.468304436,1 +128416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.904909412,1 +128417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.704653399,1 +128418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.072317025,1 +128419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,1.856984501,1 +128420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.781674297,1 +128421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.54849529,1 +128423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.647268667,1 +128424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.948225408,1 +128425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.567038746,1 +128426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.698659789,1 +128427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.791294776,1 +128428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.837449994,1 +128422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.584897824,1 +128429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.928728445,1 +128430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.2960464,1 +128431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.779877794,1 +128433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.236938509,1 +128432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.503693756,1 +128434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.587410711,1 +128435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.432971118,1 +128437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.427611977,1 +128438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,9.163771702,1 +128436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.435159153,1 +128439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.470277799,1 +128441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.282998564,1 +128442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.097244781,1 +128440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.852653961,1 +128443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.2652525,1 +128444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.485610733,1 +128445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.964300771,1 +128447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,7.342382057,1 +128448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.770072871,1 +128449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.809556348,1 +128446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.498256381,1 +128450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.660931668,1 +128452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.057846479,1 +128451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.724016807,1 +128453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.296272745,1 +128454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.744004565,1 +128455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.220086482,1 +128456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.749005743,1 +128457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.523581586,1 +128458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.032811414,1 +128459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.284760772,1 +128460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.960136067,1 +128462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.945762775,1 +128463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.406163008,1 +128461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.309702611,1 +128464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.087920765,1 +128465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.319437199,1 +128468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.346422301,1 +128467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.416342356,1 +128466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.635596764,1 +128469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.109631944,1 +128470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.103570319,1 +128472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.642192509,1 +128471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.642300059,1 +128474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.690824582,1 +128473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.801833214,1 +128475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.926055579,1 +128476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.546528084,1 +128478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.350999404,1 +128479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.22497438,1 +128477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.583161779,1 +128480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,7.129568725,1 +128482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.678593593,1 +128483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.60897567,1 +128481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.234541929,1 +128485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.808457646,1 +128487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.051093467,1 +128484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.992976488,1 +128486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.560763215,1 +128488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.045440662,1 +128489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.44253704,1 +128491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.300012242,1 +128492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.35277514,1 +128493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.015240408,1 +128490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.174344995,1 +128494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.128264621,1 +128495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.942159733,1 +128497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.024728561,1 +128496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.243403529,1 +128498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.705534267,1 +128499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.296999923,1 +128500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.139135328,1 +128501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.516348657,1 +128502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.537512778,1 +128503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.061637276,1 +128505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.349828724,1 +128504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.377658747,1 +128506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.825862059,1 +128507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.307348443,1 +128508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.143913881,1 +128509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.63006113,1 +128510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.462253667,1 +128511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.194591283,1 +128512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.436512145,1 +128514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.430709845,1 +128515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.865587398,1 +128516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.777818739,1 +128513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.206335568,1 +128517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.910736766,1 +128518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.55414033,1 +128519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.608704338,1 +128521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.489332512,1 +128522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.10606142,1 +128523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.553566215,1 +128520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.417287179,1 +128524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.465572125,1 +128527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.823451037,1 +128525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.198973438,1 +128526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.75596332,1 +128528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.002291812,1 +128530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.643448959,1 +128529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.060850808,1 +128531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.377704875,1 +128532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.85202862,1 +128533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.858580477,1 +128535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.298673352,1 +128536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.514337457,1 +128537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.373972729,1 +128534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.651815411,1 +128538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.943456636,1 +128540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.41398074,1 +128539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.475199703,1 +128541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.850013845,1 +128542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.372080103,1 +128543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.871466872,1 +128545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.548474761,1 +128544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.176264713,1 +128546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.412490931,1 +128547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.298328127,1 +128548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.879586344,1 +128549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.639506838,1 +128551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.376764313,1 +128550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.497735879,1 +128552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.203878503,1 +128555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.177455057,1 +128553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.921681008,1 +128554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.731991189,1 +128557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.596259753,1 +128556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.114052019,1 +128559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.693264907,1 +128558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.576127088,1 +128561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.11008685,1 +128560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.378128735,1 +128562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.279366702,1 +128563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.042642302,1 +128565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.125819015,1 +128564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.171755968,1 +128566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.635400082,1 +128567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.605984738,1 +128568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.789587507,1 +128569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.433514311,1 +128570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.407854601,1 +128573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.513167375,1 +128572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.60976546,1 +128574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.977556234,1 +128571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.544240382,1 +128575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.145627521,1 +128576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.777841147,1 +128577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.002824281,1 +128578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.967142578,1 +128579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.756442955,1 +128580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.013239969,1 +128581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.833677851,1 +128582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.005484539,1 +128583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.528359112,1 +128584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.82464687,1 +128585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.613375914,1 +128587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,7.593803648,1 +128588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.718038187,1 +128586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.841490805,1 +128589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.90134984,1 +128590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.859085115,1 +128591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.896946975,1 +128592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.879989709,1 +128593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.563976894,1 +128594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.133101581,1 +128595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.360008061,1 +128596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.551529891,1 +128597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.402764168,1 +128598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.990821735,1 +128599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.903757068,1 +128601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.615021183,1 +128600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.547092186,1 +128602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.598662891,1 +128603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.897984466,1 +128604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.937959858,1 +128607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.944394118,1 +128606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.552597385,1 +128609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,7.556670884,1 +128608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.276888887,1 +128605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.587955391,1 +128610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.073666796,1 +128612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.591401934,1 +128611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.821762355,1 +128614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.342666702,1 +128615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.319924378,1 +128616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.360153902,1 +128613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.052840363,1 +128617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.013625455,1 +128618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.625712333,1 +128619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.679875312,1 +128620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.430043358,1 +128622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.098826569,1 +128623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.217272092,1 +128624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.809740802,1 +128625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.254519118,1 +128621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.706753535,1 +128626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.098007541,1 +128628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.520543282,1 +128629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.618884568,1 +128630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.0053872,1 +128627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.08679954,1 +128631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.074231814,1 +128632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.478041954,1 +128633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.315632791,1 +128634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.73680973,1 +128636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.76875749,1 +128635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.099295475,1 +128637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.760530916,1 +128638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.7579916,1 +128640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.793786165,1 +128641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.004947402,1 +128639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.863962127,1 +128642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.399751082,1 +128643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.241182037,1 +128644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.495595582,1 +128645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.567480792,1 +128647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.830364243,1 +128648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,0.557783897,1 +128646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.187953367,1 +128649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.418180116,1 +128651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.352403587,1 +128650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.525494084,1 +128652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.745091018,1 +128653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.173777336,1 +128654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.676177246,1 +128655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.183502307,1 +128656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.921328038,1 +128657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.181534504,1 +128658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.677028384,1 +128659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.845813778,1 +128660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.502026393,1 +128662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.470072423,1 +128663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.539451482,1 +128661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.045275037,1 +128664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.392515765,1 +128666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.688546588,1 +128665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.382097429,1 +128667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.847010668,1 +128668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.879441662,1 +128669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.382258662,1 +128670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.491590348,1 +128671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.955764505,1 +128673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.907929406,1 +128674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.01203678,1 +128672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.591599848,1 +128675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.467767092,1 +128677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.835089112,1 +128676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,7.094002438,1 +128678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.091540979,1 +128680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.831895914,1 +128681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.99353774,1 +128679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.444077977,1 +128682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.322438547,1 +128683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.781091543,1 +128684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.11453875,1 +128685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.112401056,1 +128687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.526067273,1 +128686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.052124415,1 +128688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.547600878,1 +128689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.298895754,1 +128690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.72420898,1 +128692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.220998669,1 +128693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.997428065,1 +128691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.336608247,1 +128695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.656667794,1 +128694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.136787343,1 +128696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.174525495,1 +128697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.879107067,1 +128698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.130061851,1 +128699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.197269004,1 +128700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.969662656,1 +128702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.085890171,1 +128703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.526576984,1 +128701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.997391085,1 +128704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.251790267,1 +128706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.701816999,1 +128705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.503437995,1 +128707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.814018387,1 +128708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.604371456,1 +128710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.774435004,1 +128709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.737990756,1 +128711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.566626097,1 +128712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.431957892,1 +128713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.851947317,1 +128714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.23955931,1 +128716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.300002922,1 +128717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,1.7422135,1 +128718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.931210943,1 +128719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.776787061,1 +128720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.469183113,1 +128721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.611556277,1 +128715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.436277679,1 +128722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.114163054,1 +128723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.639364921,1 +128724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.445231851,1 +128725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.852305112,1 +128726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.667978853,1 +128727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.609619862,1 +128728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.042307455,1 +128729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.78075117,1 +128730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.290451033,1 +128731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.326005015,1 +128732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.498773073,1 +128734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.064910084,1 +128735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.082995063,1 +128733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.687492168,1 +128736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.262549072,1 +128737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.82936781,1 +128738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.699322249,1 +128740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.736479658,1 +128739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.423442646,1 +128742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.009057197,1 +128741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.807388733,1 +128743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.890258789,1 +128745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.236508407,1 +128746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.214560342,1 +128744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.751637094,1 +128747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.704438596,1 +128748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.117182281,1 +128749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.391423563,1 +128751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.738727099,1 +128750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.901352798,1 +128752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.057386574,1 +128753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.331429311,1 +128754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.679902171,1 +128755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.827993323,1 +128756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.329400831,1 +128757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.317444464,1 +128758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.688514128,1 +128760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.397056699,1 +128762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.568763214,1 +128759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.032851373,1 +128761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.433063634,1 +128763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.614945779,1 +128764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.713558861,1 +128766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.036593219,1 +128765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.784710522,1 +128767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.685107426,1 +128768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.01590141,1 +128769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.281514591,1 +128770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.709436621,1 +128771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.533225235,1 +128772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.123297604,1 +128774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.062039078,1 +128773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.566412508,1 +128775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.006351166,1 +128776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.267880005,1 +128777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.43596008,1 +128779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.017392258,1 +128780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.639116927,1 +128778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.089350697,1 +128781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.681312593,1 +128782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.301894398,1 +128783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.595550944,1 +128785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.9890889,1 +128784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.040131342,1 +128787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.65579548,1 +128786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.334061144,1 +128789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.65490753,1 +128788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.742574654,1 +128790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.28647169,1 +128791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.646543156,1 +128794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.116506486,1 +128793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.293026696,1 +128795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.373264551,1 +128792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.21807674,1 +128796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.870549584,1 +128798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.048006919,1 +128797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.710650868,1 +128799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.704259807,1 +128800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.644425254,1 +128801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.121032776,1 +128802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.360430605,1 +128803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.166904589,1 +128805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.79681181,1 +128804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.184007465,1 +128807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.573715837,1 +128806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.757885728,1 +128808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.869803036,1 +128809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.216296004,1 +128812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.321710328,1 +128811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.808656801,1 +128813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.309647513,1 +128810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.56304606,1 +128815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.81533992,1 +128814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.066447091,1 +128817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.345667584,1 +128816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.341607532,1 +128819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.476904823,1 +128820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.509205158,1 +128821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.719709489,1 +128822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.472726185,1 +128818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.698507394,1 +128823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.837841823,1 +128824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.005648987,1 +128825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.645969272,1 +128828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.406741118,1 +128829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.002145857,1 +128827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.680990292,1 +128826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,1.118798136,1 +128832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.021072142,1 +128831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.342503897,1 +128833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.401541444,1 +128830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.736913598,1 +128835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.57991417,1 +128837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.024797511,1 +128836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.272256088,1 +128834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.888957703,1 +128838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.330541973,1 +128841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.588454899,1 +128839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.772079629,1 +128842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.867636748,1 +128843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.00381328,1 +128844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.197089963,1 +128840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.373463629,1 +128847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.04564922,1 +128848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.232202732,1 +128845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.112043507,1 +128846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.180502144,1 +128849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.724715263,1 +128850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.70030107,1 +128851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.4199211,1 +128852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.409162836,1 +128855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.053289513,1 +128854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,1.820032577,1 +128856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.827323479,1 +128853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.220503846,1 +128858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.101258746,1 +128857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.00950495,1 +128859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.729990972,1 +128861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.379620164,1 +128860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.564882551,1 +128862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.81107,1 +128865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.547659829,1 +128863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.706917708,1 +128864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.561091965,1 +128866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.51354912,1 +128868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.306270585,1 +128867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.542011376,1 +128869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.031307082,1 +128870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.771254114,1 +128871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.339557898,1 +128872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.779781595,1 +128873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.933806186,1 +128874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.029811004,1 +128875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.170016766,1 +128878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.68113849,1 +128877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.377656882,1 +128876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.311597141,1 +128879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.6438557,1 +128880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.006849245,1 +128881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.742886123,1 +128883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.10236868,1 +128882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.693589106,1 +128885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.777183164,1 +128884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.504903809,1 +128886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.805547471,1 +128887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.590947947,1 +128888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.267559309,1 +128890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.326814228,1 +128889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.639534081,1 +128892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.614107338,1 +128894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.958766249,1 +128891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.992265049,1 +128893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.079813612,1 +128895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.315031866,1 +128896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.6421431,1 +128898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.064786015,1 +128897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.243665722,1 +128899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.544301916,1 +128901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.739887505,1 +128900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.416022022,1 +128902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.811759216,1 +128903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.593449929,1 +128904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.893291278,1 +128905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.896303299,1 +128906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.016452291,1 +128907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.459620624,1 +128909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.676429146,1 +128908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.515479586,1 +128912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.117619892,1 +128911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.135163061,1 +128913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.840208019,1 +128910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.213980725,1 +128914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.195017985,1 +128915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.85917048,1 +128916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.616480956,1 +128918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.734478588,1 +128919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.559733938,1 +128917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.541579093,1 +128920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.219130586,1 +128921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.044225517,1 +128923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.146507937,1 +128925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.163487187,1 +128922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.196627128,1 +128924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.755877234,1 +128928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.32164223,1 +128926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.366867476,1 +128929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.297235574,1 +128927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.896622879,1 +128930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.641908332,1 +128932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.595840145,1 +128933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.773183069,1 +128934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.331551194,1 +128936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.877469739,1 +128935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.530607968,1 +128931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.808181771,1 +128937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.36636494,1 +128939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.692923506,1 +128938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.041193339,1 +128940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.991895125,1 +128942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.544898796,1 +128941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.848988288,1 +128943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,7.703332802,1 +128944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.50380489,1 +128946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.955895667,1 +128945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.073391216,1 +128947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.539777164,1 +128948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.006967712,1 +128949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.74898726,1 +128950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.799065349,1 +128951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.837385403,1 +128953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.253606715,1 +128952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.011007724,1 +128955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.505812453,1 +128954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.594752197,1 +128956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.732698278,1 +128959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.814542847,1 +128958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.030367336,1 +128957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.665229298,1 +128960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.437879077,1 +128962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.525718836,1 +128961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.762802847,1 +128963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.921745801,1 +128964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.35293538,1 +128965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.196337409,1 +128966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.417341441,1 +128967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.680028789,1 +128968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.250687289,1 +128969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.825391169,1 +128970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.60598583,1 +128973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.157014619,1 +128972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.691567608,1 +128971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.015750052,1 +128974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.380250306,1 +128975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.698248262,1 +128976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.556880787,1 +128978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.144010722,1 +128977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.137228438,1 +128979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.620025358,1 +128981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.718808608,1 +128980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.317871501,1 +128982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.288787693,1 +128983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.544719616,1 +128984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.439905234,1 +128985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.326022428,1 +128986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.968102314,1 +128987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.713287661,1 +128988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.803337252,1 +128989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.482427008,1 +128992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.413563475,1 +128991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.275605716,1 +128993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.993153698,1 +128990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,4.244478273,1 +128995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.890686138,1 +128994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.375256487,1 +128996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,6.356156688,1 +128997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,3.874797333,1 +128999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.009938058,1 +128998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,5.377510923,1 +129000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,9,1,2.698928208,1 +138001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,6.760702308,1 +138002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.716644125,1 +138004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.12607626,1 +138005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.555679307,1 +138006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,0.836917617,1 +138003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.747974401,1 +138009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.684615007,1 +138007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.692583875,1 +138008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.573597002,1 +138010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.098402783,1 +138012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.061017491,1 +138013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.381720233,1 +138014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.209525603,1 +138011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,7.673246642,1 +138015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.514968339,1 +138018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.696121135,1 +138016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.267684094,1 +138019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,7.119657292,1 +138020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.347330194,1 +138021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.24454424,1 +138017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.692351317,1 +138023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.584098496,1 +138022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.667707352,1 +138025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.471341157,1 +138024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.735134517,1 +138027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.012405595,1 +138026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.007309436,1 +138028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.110265472,1 +138029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.178763859,1 +138030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.613625036,1 +138031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.096992597,1 +138032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.298627594,1 +138033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.07229134,1 +138034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.38656339,1 +138035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.894016324,1 +138037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.564065975,1 +138038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.62090232,1 +138039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.429440209,1 +138036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.636786232,1 +138040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.990092514,1 +138043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,6.052338611,1 +138041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.539629495,1 +138042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.1020794,1 +138044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.307150102,1 +138045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.376619943,1 +138046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.131930201,1 +138047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.853938036,1 +138048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.132543713,1 +138050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,1.817828534,1 +138051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.295900727,1 +138049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.598881764,1 +138052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.523695218,1 +138053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.013180548,1 +138054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.374477704,1 +138055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.069295842,1 +138056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.172283319,1 +138057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.433541161,1 +138058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.849096367,1 +138059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.095477583,1 +138060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.147427192,1 +138062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.871605369,1 +138061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.886765009,1 +138064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,11.59024266,1 +138065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.785073658,1 +138066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.927458901,1 +138063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.15201477,1 +138067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.055944723,1 +138069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,1.726543327,1 +138068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.417789767,1 +138070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.25189921,1 +138071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.404591642,1 +138073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.806820571,1 +138072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.152193378,1 +138074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.135485754,1 +138075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.369704412,1 +138076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.231672501,1 +138077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.980528742,1 +138078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.074127996,1 +138079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.212202763,1 +138080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.469531897,1 +138081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.657316857,1 +138082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.423527609,1 +138084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.724986406,1 +138083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.089223021,1 +138085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.180234397,1 +138088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.383023914,1 +138086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.709710716,1 +138087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.120990684,1 +138089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.146391334,1 +138090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.960586243,1 +138092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.443028313,1 +138091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.41738226,1 +138093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.161241257,1 +138094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.652786018,1 +138095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.20325144,1 +138096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.22145706,1 +138097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.728825439,1 +138098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.325369271,1 +138099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.283066996,1 +138100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.791540377,1 +138101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.035463909,1 +138103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.154740574,1 +138102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.806881231,1 +138105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.965245228,1 +138104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.090735146,1 +138106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.62941549,1 +138107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.368186059,1 +138109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.512029685,1 +138108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.237219117,1 +138110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.914353937,1 +138112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.325557162,1 +138111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.529215612,1 +138113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.642121889,1 +138114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.204701214,1 +138115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,6.048716564,1 +138116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.70646586,1 +138117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.132841402,1 +138118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.46967192,1 +138119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.584895574,1 +138121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.803001159,1 +138120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.96398477,1 +138122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.928039783,1 +138123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.946107023,1 +138126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.191125925,1 +138125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.355251025,1 +138127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.96733606,1 +138124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.954748315,1 +138128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.005429799,1 +138129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.410763623,1 +138130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,1.82166449,1 +138133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.251043965,1 +138134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.766952544,1 +138131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.308287073,1 +138132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.732934193,1 +138136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.816846185,1 +138137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.370413629,1 +138138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.246043034,1 +138135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.095069728,1 +138139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.718097957,1 +138141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.352299484,1 +138142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.908744897,1 +138143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.160455343,1 +138144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.749289345,1 +138140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.080851551,1 +138145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.081302414,1 +138149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.004204563,1 +138148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.456048489,1 +138147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.458957423,1 +138146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.946697727,1 +138150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.628486179,1 +138151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,8.39311721,1 +138152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.348767824,1 +138153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.202589457,1 +138156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,1.802654012,1 +138157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.21438415,1 +138154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.548054661,1 +138158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.696022995,1 +138159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.476315468,1 +138155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,6.226434843,1 +138160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.215727599,1 +138161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,6.305152279,1 +138164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.168059403,1 +138163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.759444269,1 +138162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.312598665,1 +138166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.02001231,1 +138167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.400176405,1 +138165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.018761574,1 +138168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,6.140071216,1 +138171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.917504087,1 +138172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.941330954,1 +138170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.197767386,1 +138173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.999580645,1 +138174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.008035416,1 +138169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.446712199,1 +138176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.354881575,1 +138178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.995216399,1 +138177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.753140064,1 +138175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.22023403,1 +138180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.229401854,1 +138181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.073575394,1 +138179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,1.971403741,1 +138182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.95336419,1 +138183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.282718542,1 +138185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.20723829,1 +138184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.804563609,1 +138186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.483148435,1 +138188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.353991372,1 +138189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.065733255,1 +138190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.251237713,1 +138187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.011021583,1 +138191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.311463269,1 +138192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.736332966,1 +138194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.899237674,1 +138196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.442740581,1 +138195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.891135137,1 +138197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.855606927,1 +138193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.170742521,1 +138198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,6.116546618,1 +138199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.547973123,1 +138200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.623366907,1 +138201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.622019,1 +138202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.33903643,1 +138203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.673564097,1 +138205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.902344861,1 +138206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.965410283,1 +138207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.6241818,1 +138204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.840853898,1 +138208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.686738565,1 +138211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.29281345,1 +138210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.647959745,1 +138209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,6.01137747,1 +138212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.618564745,1 +138214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.636027426,1 +138213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.361411052,1 +138215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.46651838,1 +138216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.01062987,1 +138217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.268553337,1 +138218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,7.222937535,1 +138219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,6.34013288,1 +138220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.582817267,1 +138221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.075266227,1 +138223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.41389602,1 +138222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.050006654,1 +138225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.05927805,1 +138224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.433894372,1 +138227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,6.109650173,1 +138226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.560389098,1 +138228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.787475617,1 +138229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.77845441,1 +138230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.82655063,1 +138231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.488033977,1 +138232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.133964084,1 +138233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.792842955,1 +138234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.580087393,1 +138235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.448858214,1 +138236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.296674267,1 +138239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.097427826,1 +138237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,9.319420642,1 +138240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.836070085,1 +138238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.519353434,1 +138241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.91739825,1 +138244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.779158573,1 +138242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.211446879,1 +138245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.331218168,1 +138246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.201798506,1 +138243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,1.230944918,1 +138248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.730499391,1 +138247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.061843709,1 +138249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,9.532192193,1 +138251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.271334418,1 +138250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.537395379,1 +138252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.238503458,1 +138255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.411810391,1 +138253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,6.290749588,1 +138254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.696165732,1 +138257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.134755264,1 +138256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.767574367,1 +138258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.398706661,1 +138259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.26288777,1 +138262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,6.233815457,1 +138263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.779282666,1 +138260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.842189038,1 +138261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.450313018,1 +138264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.522435868,1 +138265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.466655722,1 +138266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.615323524,1 +138268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.773937886,1 +138267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.733869219,1 +138270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.503365386,1 +138269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.310942576,1 +138272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.538133375,1 +138273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,7.345341243,1 +138271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.791060582,1 +138274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.027077966,1 +138275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.449266997,1 +138277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.607460956,1 +138278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.064704872,1 +138276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.634999576,1 +138280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.349233249,1 +138281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.99750891,1 +138282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.261270019,1 +138283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.952917908,1 +138279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.448878534,1 +138285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.186526156,1 +138284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.68402577,1 +138287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.499174766,1 +138288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.483817959,1 +138286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.1536695,1 +138290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.554386577,1 +138289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.641126255,1 +138292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.870303007,1 +138291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.580822853,1 +138294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.801353111,1 +138295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.32174488,1 +138296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.741020007,1 +138293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,7.622084862,1 +138297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.502447772,1 +138298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.507848928,1 +138299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.326789773,1 +138300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.842501177,1 +138301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.74710139,1 +138303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.181964302,1 +138302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.586630068,1 +138305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.855449698,1 +138304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.446941423,1 +138306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.608198331,1 +138307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.946309806,1 +138308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.987478664,1 +138309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.020839779,1 +138311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.579983455,1 +138312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.078371074,1 +138314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,6.12835099,1 +138310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.271317158,1 +138315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.812415031,1 +138317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,6.398663665,1 +138316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.546741085,1 +138313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.549884408,1 +138319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.256453061,1 +138318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.649512097,1 +138320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.863758604,1 +138321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.898565014,1 +138322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.005978433,1 +138324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.858331406,1 +138323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.67757521,1 +138325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.217592537,1 +138328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.791480713,1 +138327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.452214957,1 +138326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.958942454,1 +138330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.539169548,1 +138331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.124700198,1 +138329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.487037005,1 +138332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.440598597,1 +138333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,1.970193147,1 +138334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.214439616,1 +138335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.81102895,1 +138336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.893284684,1 +138338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.733814804,1 +138337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.516570958,1 +138339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.161588657,1 +138340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.041285123,1 +138341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.298742592,1 +138342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.307622388,1 +138343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.15149394,1 +138344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.345260269,1 +138346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.770841678,1 +138345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.433874871,1 +138348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.49593373,1 +138347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.572703753,1 +138349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.39514329,1 +138350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.482579532,1 +138352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.000974346,1 +138353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.756961193,1 +138351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.115948179,1 +138354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.899970191,1 +138356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.840508302,1 +138355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.061708876,1 +138358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.391880364,1 +138357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.196704773,1 +138359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.405621526,1 +138360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.24828924,1 +138361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.799890781,1 +138362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.375108069,1 +138363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.238298793,1 +138364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,6.956323363,1 +138365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.015291726,1 +138367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.029414742,1 +138366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.735674746,1 +138368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.148079903,1 +138369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.476804874,1 +138370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.070065036,1 +138372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,6.345951223,1 +138371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.960069737,1 +138373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.015079733,1 +138374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.395926337,1 +138375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.959688387,1 +138376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.679892558,1 +138378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.236878547,1 +138377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.500931892,1 +138379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.797958882,1 +138380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,1.822935721,1 +138381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.830415795,1 +138382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.804283667,1 +138383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.412967034,1 +138384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.252657263,1 +138385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.415762048,1 +138386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.126001734,1 +138387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.630196725,1 +138388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,1.694103869,1 +138389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.881894963,1 +138390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.28871615,1 +138391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.909890853,1 +138392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,10.41641875,1 +138395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.94759371,1 +138394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.630847321,1 +138393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.589671157,1 +138397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,6.383924266,1 +138399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,6.11851705,1 +138398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.437682102,1 +138401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,6.380047235,1 +138400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.088768175,1 +138402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.295395166,1 +138396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.706741259,1 +138404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.037964241,1 +138403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.255451759,1 +138405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.78853177,1 +138406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.847202109,1 +138409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.936361004,1 +138408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.828183488,1 +138407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.655360339,1 +138410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.114821671,1 +138411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.116305831,1 +138412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.925169879,1 +138413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.411891306,1 +138414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,7.223050117,1 +138415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.033514521,1 +138416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.571125689,1 +138417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.248982043,1 +138419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.038048137,1 +138420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.949715405,1 +138421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.086642412,1 +138418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.467031896,1 +138424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.33577875,1 +138422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.486352249,1 +138423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.643788822,1 +138425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.482323456,1 +138426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.700860672,1 +138427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.284604901,1 +138428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,1.86578754,1 +138429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.635859505,1 +138430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,6.750831948,1 +138431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.03574978,1 +138432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.350672421,1 +138435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.387419734,1 +138434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.023412679,1 +138436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.534148266,1 +138433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.382462189,1 +138437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.42720765,1 +138438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.317286602,1 +138439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,6.514521504,1 +138441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.998745078,1 +138440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.96196716,1 +138442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.070654059,1 +138443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.789982381,1 +138444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.244722381,1 +138445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.279763289,1 +138446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.236707456,1 +138447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.947729558,1 +138448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.789749191,1 +138449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,6.635480007,1 +138451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.419165261,1 +138450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.348473757,1 +138452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.394948742,1 +138455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.436736136,1 +138454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.584291086,1 +138453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.667684749,1 +138456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.645716418,1 +138458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.122112303,1 +138457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.506697092,1 +138459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.083708811,1 +138460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.564968201,1 +138461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.573992863,1 +138462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.184937189,1 +138464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.076191048,1 +138463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.496837479,1 +138466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.294332693,1 +138465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.511820729,1 +138467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.925827333,1 +138469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.572451196,1 +138470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,1.729548586,1 +138468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.452265047,1 +138471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.431493677,1 +138473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.258342759,1 +138474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.593451028,1 +138475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.840382894,1 +138476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.775982459,1 +138477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.630563037,1 +138478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,6.813652595,1 +138479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.515972985,1 +138472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.064806989,1 +138481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.376636791,1 +138480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.287087457,1 +138483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.885914048,1 +138482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.608869066,1 +138484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.439686246,1 +138486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.834537476,1 +138485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.510540767,1 +138487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.252198109,1 +138488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.544537078,1 +138489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.29699488,1 +138490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.955021004,1 +138491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.668580957,1 +138492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.203211123,1 +138494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.682743384,1 +138495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.168735448,1 +138496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.708842817,1 +138498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.936793492,1 +138497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.116193035,1 +138493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.912870286,1 +138499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,7.764950627,1 +138500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.001329884,1 +138502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.418751271,1 +138501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.282221779,1 +138503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,8.705974793,1 +138505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.678316915,1 +138504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.0183305,1 +138506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.769926972,1 +138507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.188654657,1 +138509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.191691054,1 +138508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.386688118,1 +138510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.768971555,1 +138511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.646923547,1 +138512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.228046757,1 +138515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.232878308,1 +138514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.590844603,1 +138516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.319473434,1 +138513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.516066389,1 +138517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.718077879,1 +138519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.575186825,1 +138518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.858823888,1 +138520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.388766523,1 +138521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.847825684,1 +138522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.929419805,1 +138523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.265918969,1 +138524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.223486315,1 +138525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.729735727,1 +138526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.809759759,1 +138528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.280469315,1 +138527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.66315227,1 +138529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.520380049,1 +138530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.672813457,1 +138531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.238058538,1 +138532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.871742931,1 +138533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,6.004797173,1 +138534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.035230485,1 +138535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.867224657,1 +138536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.853801532,1 +138537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.728342405,1 +138538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.147094221,1 +138539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.065021277,1 +138540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.264752881,1 +138541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.253732304,1 +138542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,1.670464816,1 +138543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.156118388,1 +138544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.658813692,1 +138545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.820072351,1 +138547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.769281448,1 +138546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.824065766,1 +138549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.877354083,1 +138550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.921531143,1 +138551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.902234848,1 +138548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.662701423,1 +138552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.437100841,1 +138554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.676303442,1 +138553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.861748177,1 +138556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.160550748,1 +138557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.573867581,1 +138558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.987366905,1 +138555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.637236103,1 +138560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.423784583,1 +138561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.471443117,1 +138559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.894491992,1 +138562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.898420025,1 +138564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.019001921,1 +138565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.566595155,1 +138563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.708682197,1 +138566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,6.744328213,1 +138567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.754103517,1 +138568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.101387887,1 +138569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.592562522,1 +138571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.668997074,1 +138572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.466952091,1 +138573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.739829981,1 +138570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.31999773,1 +138574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.556139587,1 +138576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.121813628,1 +138575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.432632743,1 +138577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.444440054,1 +138579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.387844692,1 +138578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.661785686,1 +138580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.760630278,1 +138581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.841615426,1 +138582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.873283265,1 +138583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.162193767,1 +138584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.096837258,1 +138586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.125030075,1 +138587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.685522372,1 +138588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.797070081,1 +138585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.730953933,1 +138591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.632788019,1 +138589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.399608758,1 +138590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.812941914,1 +138592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.343517758,1 +138594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.651526553,1 +138595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.353464991,1 +138593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.650638841,1 +138596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.780759206,1 +138598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.460546064,1 +138597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.063578985,1 +138599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.598167828,1 +138601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.250179266,1 +138600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.726797093,1 +138602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,6.359025563,1 +138603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.712953419,1 +138604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.312028032,1 +138606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.129186032,1 +138607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.752589869,1 +138605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.456294876,1 +138608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.851479155,1 +138610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.79866776,1 +138611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.472623017,1 +138609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.494531571,1 +138612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.634446118,1 +138613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.148090783,1 +138615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.158331146,1 +138616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.946395373,1 +138614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.622774936,1 +138617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.935115976,1 +138618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.300796345,1 +138619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.414989031,1 +138620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.444081426,1 +138622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,6.652878774,1 +138621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,1.485960031,1 +138623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.22912904,1 +138625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.912897019,1 +138624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.857886848,1 +138627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.069854237,1 +138626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.717426629,1 +138628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.832540057,1 +138630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.056184481,1 +138629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.042560756,1 +138632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,1.810903317,1 +138631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.167579718,1 +138633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.344464318,1 +138635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.14702987,1 +138636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,1.820969611,1 +138634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.418697092,1 +138639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.664666314,1 +138637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.93394349,1 +138641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.524215474,1 +138638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.174392376,1 +138640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.235786136,1 +138642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.487876109,1 +138644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.965610429,1 +138645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.061796446,1 +138643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.030940398,1 +138646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,6.806785507,1 +138647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.146615516,1 +138649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.053844694,1 +138650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.453254002,1 +138648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.551801212,1 +138651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.414745055,1 +138652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.457593528,1 +138653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.190029976,1 +138654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.956624929,1 +138656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.071333856,1 +138655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.730928535,1 +138657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.472039009,1 +138658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.677284256,1 +138660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.546195081,1 +138661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.152813594,1 +138663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.198480991,1 +138659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,1.762995877,1 +138664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.326259592,1 +138665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,1.718228091,1 +138666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.040506286,1 +138662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.229886075,1 +138669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.933215461,1 +138667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.613991799,1 +138668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,7.20033476,1 +138670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.554764582,1 +138671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.22736783,1 +138672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.016720737,1 +138673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.161811273,1 +138674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.83799407,1 +138676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.005371625,1 +138677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.48917983,1 +138675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.29968375,1 +138678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.227471889,1 +138679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.586688508,1 +138680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.272986881,1 +138681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.137889224,1 +138683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.192596877,1 +138682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.941843277,1 +138685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.029912487,1 +138684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.149834327,1 +138686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.64174151,1 +138687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,6.026497017,1 +138688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.091355705,1 +138689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.500385547,1 +138690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.485238155,1 +138691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.254132648,1 +138693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.308788406,1 +138694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.858539154,1 +138692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.942091147,1 +138696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.542898847,1 +138698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.038811229,1 +138695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.802222906,1 +138700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.10639552,1 +138697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.40621564,1 +138699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.053048353,1 +138701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.212373534,1 +138702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,6.316131496,1 +138703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.748721429,1 +138704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.962391986,1 +138705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.883184234,1 +138707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.274448189,1 +138708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.16666115,1 +138706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.433498322,1 +138709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.968492933,1 +138710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.808664827,1 +138711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.221414872,1 +138712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.771499127,1 +138713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.219066289,1 +138714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.662523593,1 +138716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.841629131,1 +138715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.429033222,1 +138717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.479977634,1 +138718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.980758147,1 +138720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.55674053,1 +138719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.233652187,1 +138722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.925027105,1 +138721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.917816824,1 +138723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.059550848,1 +138726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.667063055,1 +138725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.209064712,1 +138727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.769953767,1 +138724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.028035912,1 +138731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.781274695,1 +138730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.731168282,1 +138728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.5093081,1 +138729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,1.832986595,1 +138732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.845777765,1 +138734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.612751173,1 +138733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.569393148,1 +138735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.608977986,1 +138736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.106579806,1 +138738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.775799708,1 +138737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.355640508,1 +138739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.062519071,1 +138742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.208825802,1 +138741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.583046299,1 +138740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.532376626,1 +138743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.879554596,1 +138744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.633225467,1 +138745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.974165377,1 +138746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.400904068,1 +138748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.09167876,1 +138747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.686473014,1 +138749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.527847197,1 +138750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.478649148,1 +138751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.460414179,1 +138753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.591327341,1 +138754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.890700057,1 +138752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.522661533,1 +138755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.671954511,1 +138757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.091829704,1 +138756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.841633238,1 +138758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.332453558,1 +138759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.775413577,1 +138761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.006558895,1 +138762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.883852418,1 +138760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.400434915,1 +138763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.545969377,1 +138764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.810692936,1 +138766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.872955953,1 +138765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.960634521,1 +138767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.576573003,1 +138768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,7.171428267,1 +138769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.13429958,1 +138770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,8.124140266,1 +138771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.304926352,1 +138772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,1.824923889,1 +138773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.94234117,1 +138774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.218850821,1 +138775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.639016061,1 +138776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.507119749,1 +138777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.555594398,1 +138779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.164783884,1 +138778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.836229891,1 +138780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,6.359991903,1 +138781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.485378431,1 +138782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.524323737,1 +138785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.253900258,1 +138784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.104949174,1 +138786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.178390516,1 +138783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.335281293,1 +138787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.263212244,1 +138788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,7.047764239,1 +138791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.159513526,1 +138790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.102316266,1 +138789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.569672527,1 +138792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.012956762,1 +138794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.780635503,1 +138793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.493162346,1 +138795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.524424256,1 +138796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.57492885,1 +138798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.706368812,1 +138799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.831012292,1 +138800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.261667543,1 +138801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.144511098,1 +138802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.365915414,1 +138803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.211543721,1 +138797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.51520605,1 +138805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.430120447,1 +138804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.385016602,1 +138806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.467223346,1 +138807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,6.04799451,1 +138808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.654747179,1 +138809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.606244821,1 +138810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,1.942738167,1 +138811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.060204161,1 +138812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.758177072,1 +138813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.945830249,1 +138814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.315777526,1 +138816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.9590797,1 +138815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.447483168,1 +138817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.486300461,1 +138818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.952099313,1 +138821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.000093566,1 +138819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.512173334,1 +138822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.681351874,1 +138824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.02018327,1 +138820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.099572452,1 +138823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.318194048,1 +138825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.211556232,1 +138826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.718317879,1 +138827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.469122835,1 +138828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.411409983,1 +138829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.361037506,1 +138830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.59766957,1 +138831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.970151244,1 +138832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,6.268894833,1 +138833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.986772362,1 +138834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.311210324,1 +138836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.085320514,1 +138835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.928492198,1 +138837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.729237476,1 +138838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.845371136,1 +138839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.182277014,1 +138841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.681419381,1 +138840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.8198825,1 +138842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.368016666,1 +138843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.588873419,1 +138844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,1.725868678,1 +138846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.897065143,1 +138845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,6.203009333,1 +138847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.527031782,1 +138848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.375772581,1 +138849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.554266075,1 +138850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.34252474,1 +138851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.205527793,1 +138852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.094817212,1 +138854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.098158508,1 +138855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.90562297,1 +138856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.403938713,1 +138853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,1.919594142,1 +138857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.361233182,1 +138858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.240637928,1 +138859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.287441353,1 +138860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.276444503,1 +138861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.517421915,1 +138862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.790549614,1 +138863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.972125776,1 +138864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.475737668,1 +138866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.757141743,1 +138867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.059462012,1 +138868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.353246943,1 +138865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.426950181,1 +138869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.820357942,1 +138870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.217790933,1 +138871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.344811479,1 +138873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.125612966,1 +138874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.740570627,1 +138875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.970375357,1 +138872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.800659189,1 +138876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.707922091,1 +138877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.557852829,1 +138880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.399283017,1 +138878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.882828313,1 +138881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.173596664,1 +138879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.075392758,1 +138885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.788826079,1 +138882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.93371149,1 +138883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.152400339,1 +138884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.990601911,1 +138887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.821451953,1 +138889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.630589373,1 +138888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.10098685,1 +138890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.981798669,1 +138886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.357859639,1 +138891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.908024828,1 +138892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.12126197,1 +138895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.054016512,1 +138894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.941631416,1 +138893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.383140042,1 +138896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.673419324,1 +138899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.19908179,1 +138898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.979591348,1 +138897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.76297752,1 +138900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.18612351,1 +138901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.757037634,1 +138902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.177888224,1 +138903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,1.482053954,1 +138905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.530380795,1 +138906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.187829504,1 +138907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.99725898,1 +138904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.947344241,1 +138909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.634178864,1 +138910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.58749816,1 +138908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,1.81143983,1 +138911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.92901682,1 +138915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.235665134,1 +138913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.827083814,1 +138912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.896790051,1 +138914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.902715399,1 +138916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.272866452,1 +138917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.123520308,1 +138918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,6.725464132,1 +138919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.397110398,1 +138922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.050270919,1 +138921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.919216194,1 +138920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.74378001,1 +138925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.162838767,1 +138924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.679191445,1 +138923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.815913701,1 +138926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.045533619,1 +138928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.563971789,1 +138930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.732836513,1 +138929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.889894512,1 +138927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.827643795,1 +138931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.696777824,1 +138932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.546562803,1 +138934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.767977358,1 +138933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.113507911,1 +138935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.671122664,1 +138937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.013283095,1 +138936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.774248893,1 +138939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.411311576,1 +138938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,8.323527035,1 +138940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.623980435,1 +138941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.571543109,1 +138942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.612560246,1 +138943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.085707213,1 +138944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.076150391,1 +138945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.636258923,1 +138948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.875803495,1 +138946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.733827356,1 +138947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.11565907,1 +138949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.124729067,1 +138950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.49038969,1 +138951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.855742791,1 +138952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.7487372,1 +138953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.060812008,1 +138955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.914556034,1 +138956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.654183319,1 +138957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.693006991,1 +138954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.477096027,1 +138958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.722252041,1 +138959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.916402932,1 +138961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.35337215,1 +138960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.651282595,1 +138962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.16263792,1 +138963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.898917375,1 +138964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.583844584,1 +138965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.929424976,1 +138966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,1.076142336,1 +138967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.667609446,1 +138968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.14935398,1 +138969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.541088464,1 +138970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.567108314,1 +138971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.804945087,1 +138973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.133980412,1 +138974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.920559963,1 +138972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.066048355,1 +138975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.36562162,1 +138976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.021461498,1 +138977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.408509521,1 +138978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.894836868,1 +138979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.348696548,1 +138980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.870603972,1 +138981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.136655146,1 +138982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,6.151203888,1 +138983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.001482873,1 +138984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,8.302512665,1 +138987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.395119955,1 +138985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.401480491,1 +138986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.148513759,1 +138988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.044350855,1 +138989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.636150701,1 +138991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.907235123,1 +138992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,1.666134368,1 +138990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.37876621,1 +138993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,3.24684649,1 +138995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.907615151,1 +138994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.331190489,1 +138996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,4.190636762,1 +138997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.330767948,1 +138999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,7.139693681,1 +138998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,2.922160725,1 +139000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,9,1,5.43121449,1 +148001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.034875497,1 +148002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.46235586,1 +148003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.032812167,1 +148004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.234646635,1 +148005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.11627324,1 +148006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.206926968,1 +148007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.128612419,1 +148008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.116343565,1 +148009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.013125127,1 +148010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.77406175,1 +148011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.540960571,1 +148012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.780763189,1 +148013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.139698407,1 +148014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,7.13883654,1 +148017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.086852149,1 +148015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.533555516,1 +148016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.280095214,1 +148018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.515404735,1 +148019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.660769187,1 +148020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.458834953,1 +148021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.131940436,1 +148022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.869716604,1 +148024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.437913074,1 +148023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.511232068,1 +148026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.270693642,1 +148025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.922146472,1 +148028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.814915328,1 +148027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.559459777,1 +148029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.870481512,1 +148030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.24030302,1 +148032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.137567767,1 +148031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.90228024,1 +148033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.698270922,1 +148034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.378124317,1 +148036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.286334477,1 +148035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.707058511,1 +148037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.1372119,1 +148038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.986611744,1 +148039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.59403606,1 +148040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.242194596,1 +148041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.923326916,1 +148042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.388067275,1 +148043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.213116781,1 +148044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.228801106,1 +148045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.053164742,1 +148046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.857476008,1 +148048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,7.590508246,1 +148047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.388353462,1 +148050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.31228107,1 +148052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.635854535,1 +148051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.882013376,1 +148049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.61129533,1 +148055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.181988075,1 +148054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.456181351,1 +148053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.844720789,1 +148057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.494764378,1 +148056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.740604819,1 +148058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.071794364,1 +148059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.706584556,1 +148061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.041607847,1 +148060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.221635814,1 +148063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.881199117,1 +148062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.734734431,1 +148064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.480246002,1 +148065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.238711666,1 +148067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.278245425,1 +148069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.472037371,1 +148068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.514096487,1 +148066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.862671152,1 +148070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.834476832,1 +148071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,6.828595211,1 +148073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.74043466,1 +148074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.351883472,1 +148075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.417333852,1 +148076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.904028541,1 +148072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,6.592903176,1 +148077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.370405408,1 +148080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.588635672,1 +148078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.829732149,1 +148081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.095753036,1 +148082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.018743142,1 +148083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.42550029,1 +148084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.602506965,1 +148085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,7.163030451,1 +148086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.783531213,1 +148079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.212360374,1 +148087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.111601771,1 +148089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.927613909,1 +148090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.887096575,1 +148091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.747921052,1 +148088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.676109736,1 +148093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.20794044,1 +148092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.828601133,1 +148095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.029469895,1 +148094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,8.08622408,1 +148096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.745322831,1 +148097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.262270708,1 +148099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.306106366,1 +148098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.514891132,1 +148101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.299609458,1 +148102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.547731944,1 +148103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.546924116,1 +148104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.167490656,1 +148105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.546273367,1 +148100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.223636029,1 +148107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.234938062,1 +148106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.776277165,1 +148108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.208191411,1 +148109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.878050366,1 +148110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.339845365,1 +148111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.600140567,1 +148112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.968898746,1 +148113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.677717346,1 +148114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,7.4425787,1 +148115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.88672008,1 +148116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.833631609,1 +148117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.545908396,1 +148118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.764409641,1 +148119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.052515571,1 +148120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.285129019,1 +148124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.385887305,1 +148122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.583755426,1 +148123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.153287466,1 +148121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.495935644,1 +148125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.661725694,1 +148126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,6.139071304,1 +148127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.565290563,1 +148128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.912284466,1 +148129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.04042284,1 +148130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.167726474,1 +148131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.548718359,1 +148132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.922141876,1 +148133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.040144124,1 +148134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.872216127,1 +148135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.594450499,1 +148136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,8.634781992,1 +148139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.548758221,1 +148138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.994401735,1 +148137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.677998302,1 +148141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.456255549,1 +148140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.654066969,1 +148142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.765425328,1 +148143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.757490924,1 +148144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.432646854,1 +148146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.89292515,1 +148145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.671607772,1 +148147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.695686774,1 +148148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,7.332806601,1 +148151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.438948519,1 +148149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.68608351,1 +148150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.099158168,1 +148152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.716670017,1 +148153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.21145462,1 +148154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.817762464,1 +148156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.767176006,1 +148157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.904062115,1 +148158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.959516478,1 +148155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.777210683,1 +148159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.147440481,1 +148160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.945004773,1 +148161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.245549379,1 +148163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.058920391,1 +148164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.031275407,1 +148162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.771333918,1 +148165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.12138255,1 +148166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.518242535,1 +148169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.869758727,1 +148167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.139440998,1 +148168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.842515021,1 +148170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.053671739,1 +148172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.237426098,1 +148173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,6.270706214,1 +148171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.218727591,1 +148174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,6.429727788,1 +148175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.08352307,1 +148177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.291537832,1 +148178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.369406438,1 +148179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.869819448,1 +148176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.25233471,1 +148181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.661989208,1 +148180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.315736923,1 +148182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.181943765,1 +148185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.794491259,1 +148183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.515761611,1 +148184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.133259015,1 +148186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,6.241017086,1 +148188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.893672072,1 +148187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.785559671,1 +148189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.21276666,1 +148190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.408618571,1 +148191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.887209127,1 +148192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.064520264,1 +148193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,7.347527151,1 +148194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.572372613,1 +148196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.449556504,1 +148197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.903884151,1 +148198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.883974494,1 +148195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.31183728,1 +148199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.116953559,1 +148201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.168597705,1 +148200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.500394434,1 +148203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.377320448,1 +148202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.507933102,1 +148204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.543232047,1 +148205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.584332974,1 +148206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.196504826,1 +148207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.969528092,1 +148208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.484536033,1 +148209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.044216997,1 +148210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.153930108,1 +148211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.925872267,1 +148213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,7.576091198,1 +148212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.308781602,1 +148214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.349395364,1 +148216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.103216816,1 +148217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.32519582,1 +148218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.956291462,1 +148215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.017631063,1 +148219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.558681247,1 +148220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.458854343,1 +148221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.077248804,1 +148222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,7.411642532,1 +148223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.989675882,1 +148224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.695033662,1 +148225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.49835633,1 +148226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.485579409,1 +148227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.647419741,1 +148229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.978077785,1 +148230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.774816949,1 +148228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.167038633,1 +148231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.102435115,1 +148233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.225007789,1 +148234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.328167008,1 +148235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.501392038,1 +148232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.948835459,1 +148236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.587366904,1 +148237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.513101677,1 +148238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,7.590512293,1 +148240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.087190438,1 +148241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.843874555,1 +148242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.031072019,1 +148239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.310443801,1 +148243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.804888552,1 +148244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.545746042,1 +148246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.230214777,1 +148245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.070879919,1 +148248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.158608027,1 +148249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.935432091,1 +148247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.692346124,1 +148250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.676094975,1 +148251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.68330343,1 +148253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.474633469,1 +148254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.440786951,1 +148255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.456478098,1 +148252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,6.26993314,1 +148256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.12066348,1 +148257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.587564741,1 +148258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.033195097,1 +148259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.794262704,1 +148262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.143791046,1 +148261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.777373419,1 +148263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.507090935,1 +148260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.483772897,1 +148264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.243031432,1 +148266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.275943543,1 +148265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.975388958,1 +148267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.462115351,1 +148268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.605669609,1 +148270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.364803673,1 +148271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.728317617,1 +148272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.785838587,1 +148269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.018554953,1 +148273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.408732001,1 +148274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.020339648,1 +148276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.818844853,1 +148275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.605146429,1 +148277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.935611272,1 +148279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.833444689,1 +148278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.058064898,1 +148281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.070892353,1 +148280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.518514574,1 +148282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.604987105,1 +148283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.094138087,1 +148284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.293808327,1 +148285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.930350149,1 +148286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.748351987,1 +148287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.095500335,1 +148288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.187192709,1 +148289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.777772414,1 +148291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.888499738,1 +148290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.605670036,1 +148293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.492941831,1 +148292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,6.560425976,1 +148294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.878244948,1 +148295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.081625157,1 +148296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.051606067,1 +148297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.476285561,1 +148298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.657324412,1 +148299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.498419768,1 +148300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.084805161,1 +148301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.334688477,1 +148303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.015440225,1 +148302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.987446266,1 +148304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.813837068,1 +148305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.72537298,1 +148308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.859995644,1 +148307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.808703568,1 +148306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.421070927,1 +148309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.690299494,1 +148310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,6.336507648,1 +148311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.040503591,1 +148312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.925890004,1 +148314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.378791997,1 +148315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.332339172,1 +148313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.232007983,1 +148316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.433574847,1 +148317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.309015418,1 +148319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.326734834,1 +148320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,6.316866667,1 +148318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.885162667,1 +148322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.350357269,1 +148321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.162579173,1 +148324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.98587764,1 +148323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.403791889,1 +148326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.208487345,1 +148328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.124097725,1 +148327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.424400869,1 +148325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.920692525,1 +148329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,6.250594026,1 +148330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.996815082,1 +148331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.38845803,1 +148332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.326284399,1 +148333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.146319181,1 +148334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.353080453,1 +148336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.643667734,1 +148337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.506983804,1 +148335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.66736515,1 +148338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.696192594,1 +148340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,7.133543103,1 +148339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.028376993,1 +148342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.892963852,1 +148341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.077214357,1 +148343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.745944446,1 +148345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.15189687,1 +148346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.878342747,1 +148347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.862087163,1 +148348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.180928424,1 +148344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.325499622,1 +148349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.7345016,1 +148352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.238710571,1 +148351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.216798238,1 +148350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.773398936,1 +148353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.541465081,1 +148354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.728182775,1 +148355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.980472972,1 +148356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.855093928,1 +148357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.080276475,1 +148358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.883898584,1 +148360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.693673719,1 +148359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.508710536,1 +148361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.110037745,1 +148364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.049552515,1 +148363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.231723636,1 +148365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.105449711,1 +148362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.198664286,1 +148366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.264327074,1 +148367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.34059769,1 +148369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.429195279,1 +148368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.330171567,1 +148370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.950615486,1 +148371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.449412581,1 +148372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,11.0206639,1 +148373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.575995408,1 +148374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.680103574,1 +148375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,6.30974677,1 +148376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.360312121,1 +148377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.125023468,1 +148378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.425834886,1 +148379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.794878851,1 +148381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.921000729,1 +148380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.163409451,1 +148382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.517037179,1 +148383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,0.967393319,1 +148385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.040711292,1 +148384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.317499675,1 +148386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,6.905022822,1 +148387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.106520774,1 +148388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.794452718,1 +148390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.535331568,1 +148389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.393482935,1 +148391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.3746603,1 +148392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,6.161211274,1 +148393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.181996881,1 +148395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.463306127,1 +148394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.762278612,1 +148396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.415693265,1 +148399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.85015234,1 +148397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.278752596,1 +148398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.301630663,1 +148400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.120237155,1 +148402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.304656234,1 +148403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.008631388,1 +148401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.173517201,1 +148404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.67124157,1 +148406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.253679114,1 +148405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.328124555,1 +148407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.479140595,1 +148410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.396171827,1 +148409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.087900265,1 +148408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.710052639,1 +148411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.375139465,1 +148412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.093633266,1 +148413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.42823548,1 +148414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.695373693,1 +148418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.032078406,1 +148416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.340398509,1 +148417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.399649722,1 +148420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,6.248325551,1 +148419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.412461946,1 +148421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.994523492,1 +148415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.146035945,1 +148422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.649490552,1 +148423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.513732322,1 +148424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.443434737,1 +148426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.759249781,1 +148427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,6.491117497,1 +148425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.085836274,1 +148428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.442623136,1 +148431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.88641392,1 +148430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.464841307,1 +148429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.30838827,1 +148432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.257226119,1 +148433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.937010917,1 +148434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.820285631,1 +148435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.572625702,1 +148436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.385319619,1 +148438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.26466339,1 +148439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.944690053,1 +148440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,9.818472068,1 +148437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.826950054,1 +148441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.989789652,1 +148442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.836555325,1 +148443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.4119595,1 +148445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.303559327,1 +148444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.19291614,1 +148446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.897867078,1 +148447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.113041573,1 +148448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.791016574,1 +148449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.055662607,1 +148451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.459485812,1 +148450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.384913555,1 +148452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.787598862,1 +148454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.46150798,1 +148455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.780324234,1 +148456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.358360347,1 +148453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.766011248,1 +148457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.29583152,1 +148458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.856745592,1 +148459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.822441096,1 +148460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.498661368,1 +148462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.896014331,1 +148463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.756241504,1 +148461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.015132785,1 +148464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.391855448,1 +148465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.523735037,1 +148466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.314922013,1 +148468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.986309019,1 +148469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.018044669,1 +148470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.03980076,1 +148467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.560589031,1 +148471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.958807735,1 +148474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.118381739,1 +148472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.525269913,1 +148473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.428649413,1 +148475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.19966051,1 +148476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.402444003,1 +148477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.283576276,1 +148478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.440071212,1 +148479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.950830701,1 +148480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.182173099,1 +148481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.456138734,1 +148482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.387328996,1 +148483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.14998972,1 +148485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,6.170967476,1 +148486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.398721857,1 +148484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.815902559,1 +148489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.712409907,1 +148488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.685560328,1 +148487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.439385632,1 +148490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.856476868,1 +148491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.715588464,1 +148492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.62232266,1 +148494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.047180243,1 +148493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.954686365,1 +148495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,6.799585276,1 +148496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.959920199,1 +148497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.944360512,1 +148498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.019492906,1 +148499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.670237412,1 +148500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.683420004,1 +148502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.575547189,1 +148501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.972310367,1 +148504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.444401734,1 +148503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.616504215,1 +148506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.595108927,1 +148507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.000674894,1 +148508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.066876697,1 +148505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.601370857,1 +148509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.936940054,1 +148510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.58336042,1 +148511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.971479096,1 +148512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.460477395,1 +148513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.623258042,1 +148515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.342758036,1 +148514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.774031194,1 +148516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.179595753,1 +148519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.740333732,1 +148517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.08625609,1 +148518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.962263722,1 +148520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.578604721,1 +148522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.512164507,1 +148521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.734175263,1 +148523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.736850203,1 +148524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.694956344,1 +148525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.105593654,1 +148526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.918739667,1 +148527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.060550298,1 +148529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.638323275,1 +148528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.969009806,1 +148530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.015863948,1 +148531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.478214093,1 +148533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.032003856,1 +148532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.282869917,1 +148534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.56870967,1 +148535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.235025515,1 +148537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.034974986,1 +148538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.760948347,1 +148539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.303073768,1 +148540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.341584067,1 +148536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.046046283,1 +148541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.760447385,1 +148542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.66506917,1 +148543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.642635046,1 +148545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,6.018494887,1 +148546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.57242318,1 +148544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.657912572,1 +148547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.877241108,1 +148548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.87051704,1 +148549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.313422094,1 +148550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.564563282,1 +148551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.995566396,1 +148552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.731955964,1 +148553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.311526872,1 +148554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.795731744,1 +148555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.228419129,1 +148557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.767230682,1 +148556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.239243265,1 +148559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.512925484,1 +148560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.372929721,1 +148561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.650271197,1 +148562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.61566055,1 +148563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,7.120076744,1 +148558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.320887686,1 +148564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.370199409,1 +148567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.802272053,1 +148565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.53144279,1 +148568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.383790357,1 +148566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.071818137,1 +148570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.977908107,1 +148569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.533578362,1 +148571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.890779045,1 +148572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.705581992,1 +148573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.687292952,1 +148575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.90160978,1 +148576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,0.759546343,1 +148577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.144292956,1 +148574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.138266088,1 +148579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.020645606,1 +148578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.881922413,1 +148581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.01150928,1 +148580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.590648666,1 +148583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.513178108,1 +148582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.389112231,1 +148585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.797086801,1 +148584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,10.39168511,1 +148586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.324666331,1 +148587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.107370113,1 +148588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.736626187,1 +148589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.576344371,1 +148590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.287197115,1 +148591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.150589894,1 +148592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.706268569,1 +148593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.600140357,1 +148595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.630995668,1 +148594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.258902084,1 +148596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.722198152,1 +148598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.119303275,1 +148597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.923595002,1 +148599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.751359951,1 +148600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.903319766,1 +148601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.806336997,1 +148602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.698089867,1 +148603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.80433297,1 +148604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.682196759,1 +148605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.988488806,1 +148607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.931245299,1 +148606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.997249477,1 +148608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.268334528,1 +148609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.495960786,1 +148611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.190266759,1 +148612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.173753964,1 +148613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.025969478,1 +148610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.616227583,1 +148614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.64140562,1 +148615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.637343463,1 +148616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.4527373,1 +148617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.822867911,1 +148618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,6.345880326,1 +148619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.152532927,1 +148620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.299138814,1 +148621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.847250835,1 +148622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.941245998,1 +148623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.612006173,1 +148624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.948669783,1 +148625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.811074281,1 +148626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.555321998,1 +148628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.266255499,1 +148627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.024812684,1 +148629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.666265018,1 +148630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.326241822,1 +148632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.319432859,1 +148631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.291097683,1 +148633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.920688429,1 +148634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.186411296,1 +148635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.447569308,1 +148636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.247889275,1 +148637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.325439693,1 +148639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.273560385,1 +148638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.833673217,1 +148640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.24448707,1 +148643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.866449784,1 +148642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.197208242,1 +148644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.24314814,1 +148641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.983169208,1 +148645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.833824658,1 +148647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.151112065,1 +148646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.929141921,1 +148648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.357550316,1 +148651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.702766552,1 +148650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.588154695,1 +148649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.302202041,1 +148652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.185788385,1 +148653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.793082596,1 +148654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.05915823,1 +148655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.740475293,1 +148658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.476826589,1 +148657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.468129943,1 +148659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.240119235,1 +148656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.261713183,1 +148661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.327505101,1 +148662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.487543377,1 +148660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.598745055,1 +148664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.073476005,1 +148665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.332646014,1 +148666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.725764346,1 +148663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.828194013,1 +148667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.293643807,1 +148668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.652916466,1 +148669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.237975356,1 +148670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.394606377,1 +148672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.68719224,1 +148671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.941533955,1 +148674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.46531969,1 +148673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.315757979,1 +148675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.236794144,1 +148676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.078252771,1 +148678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.813667001,1 +148679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,6.373449759,1 +148680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.176397048,1 +148681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.557591642,1 +148682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.364678074,1 +148683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.412989194,1 +148677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.96821659,1 +148684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.934752296,1 +148685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.601024677,1 +148686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,6.741035901,1 +148687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.981141442,1 +148688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.619039921,1 +148689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.63830545,1 +148690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.116136176,1 +148691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.914732907,1 +148693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.233766889,1 +148692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.47402467,1 +148694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.764686047,1 +148695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.97373725,1 +148696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.184845824,1 +148697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.351369469,1 +148698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.467942257,1 +148702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.482625481,1 +148701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.165489273,1 +148700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.405880387,1 +148699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.356734994,1 +148703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.248822382,1 +148705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.647445823,1 +148704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.625181237,1 +148706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.002946885,1 +148707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.149705823,1 +148708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.062282679,1 +148710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.129683888,1 +148711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.681503895,1 +148712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.974208421,1 +148709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,9.316866755,1 +148714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.098373933,1 +148716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.138604853,1 +148715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.228127054,1 +148713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.958831228,1 +148718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.782897828,1 +148717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.507468678,1 +148720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.898148221,1 +148719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.6224711,1 +148722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.465466278,1 +148723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,6.32894579,1 +148724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.799042692,1 +148721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.228299191,1 +148725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.206446059,1 +148727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.051754899,1 +148726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.406605027,1 +148729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.220182848,1 +148728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.002776699,1 +148730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,6.549792432,1 +148733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.01804368,1 +148732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.40181166,1 +148731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.606589217,1 +148734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.244402976,1 +148735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.111294332,1 +148736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.039214234,1 +148737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.666459765,1 +148738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.919923679,1 +148739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.455869507,1 +148740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.87796216,1 +148741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.742716306,1 +148742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.544600095,1 +148744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.499012816,1 +148746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.805432444,1 +148743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.736770064,1 +148745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.41508264,1 +148747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.021934674,1 +148749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.212948505,1 +148748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.829164127,1 +148750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.335463294,1 +148751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.70857533,1 +148752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.552992602,1 +148753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.831336675,1 +148754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.852663879,1 +148755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.029169399,1 +148756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.488077638,1 +148758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.699106073,1 +148759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.051117671,1 +148757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.422655506,1 +148760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.770233995,1 +148761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.394470406,1 +148762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,7.989911671,1 +148763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.927735104,1 +148765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.748698473,1 +148767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.283272984,1 +148766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.131575318,1 +148764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.566234612,1 +148768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.757261539,1 +148769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.306385185,1 +148770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.812860517,1 +148771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.95037856,1 +148772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,7.376935914,1 +148773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.377896555,1 +148774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.142970987,1 +148775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.120261253,1 +148776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.960273289,1 +148779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.663313308,1 +148777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.03267278,1 +148780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.067242615,1 +148778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.243756735,1 +148782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.543334597,1 +148781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.201622275,1 +148783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.449076441,1 +148784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.380726546,1 +148785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.91105425,1 +148786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,8.088624348,1 +148787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.518456003,1 +148788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.507908102,1 +148789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.882468909,1 +148790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.894658246,1 +148791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.930619164,1 +148792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.424063012,1 +148794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.988153138,1 +148793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.994336072,1 +148795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.967879468,1 +148796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.956686878,1 +148797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.476594207,1 +148798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.935951511,1 +148799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.804571958,1 +148801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.385512165,1 +148802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.08300017,1 +148803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.996981568,1 +148800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.874730947,1 +148804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.654492554,1 +148806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.165253504,1 +148808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.512532323,1 +148805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.851970318,1 +148807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.294784353,1 +148809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.532172524,1 +148811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.683800505,1 +148812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.375978275,1 +148810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.40266378,1 +148813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.440308415,1 +148814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.846832557,1 +148816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.011472612,1 +148817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.071035467,1 +148815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.909530562,1 +148818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,6.681760279,1 +148819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.176285782,1 +148820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.660228859,1 +148823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.904740734,1 +148821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.392677829,1 +148822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.222450846,1 +148824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.609902035,1 +148827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.009869977,1 +148825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.220072413,1 +148826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.719723165,1 +148828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.270937253,1 +148830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.698457897,1 +148829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.188722846,1 +148831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.582711958,1 +148832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.331889649,1 +148833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.102480627,1 +148834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.083635569,1 +148836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.233210034,1 +148837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.089316521,1 +148838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.453889724,1 +148835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.66403644,1 +148839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.417003352,1 +148840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.831929313,1 +148841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.747790136,1 +148842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,8.442276341,1 +148843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.582887279,1 +148844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.812378948,1 +148845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,6.318566384,1 +148846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.754799761,1 +148848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.431371018,1 +148847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.933249538,1 +148849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.823449484,1 +148850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.307411702,1 +148852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.799080851,1 +148851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.223721885,1 +148853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.30806577,1 +148855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.886080588,1 +148856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.868796548,1 +148854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.955943237,1 +148857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.73896483,1 +148858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.156518744,1 +148859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.107834363,1 +148861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.132277456,1 +148860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.988263719,1 +148862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.767593068,1 +148863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.828822643,1 +148864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,6.968078502,1 +148865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.935721432,1 +148866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.144386652,1 +148867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.959422874,1 +148868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.046434835,1 +148870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.064193917,1 +148869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.709078367,1 +148871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.138589309,1 +148872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.978965989,1 +148873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,6.644811164,1 +148875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.712441667,1 +148874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.882970492,1 +148876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.254438471,1 +148877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.312444158,1 +148878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.498600797,1 +148879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,6.543352252,1 +148881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.19852997,1 +148880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.276120983,1 +148882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.813373741,1 +148883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.17927988,1 +148884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.142595341,1 +148885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.437313733,1 +148886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.558482053,1 +148889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.641219,1 +148887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,8.177873658,1 +148890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.982291303,1 +148891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,6.720730857,1 +148892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.488520657,1 +148888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.191313274,1 +148893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.477520996,1 +148895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.089030346,1 +148894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.717470528,1 +148897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.011766509,1 +148898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,6.156988323,1 +148899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.602152214,1 +148896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.235137257,1 +148900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.32781075,1 +148901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.635833549,1 +148902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.584006038,1 +148903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.86300707,1 +148904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.839891109,1 +148905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.496342171,1 +148906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.368526408,1 +148907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.293298567,1 +148908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.178360609,1 +148909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.56833007,1 +148910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.13419581,1 +148912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.75338508,1 +148913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.597323248,1 +148914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.449210321,1 +148915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.345969263,1 +148916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.279758413,1 +148911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.885440102,1 +148917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.203771264,1 +148918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,6.638845253,1 +148919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.187430414,1 +148920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.674177907,1 +148921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.181347217,1 +148922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.248521264,1 +148923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.240926859,1 +148925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.350957806,1 +148924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.795439406,1 +148926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.985040043,1 +148927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.112703935,1 +148928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.677280448,1 +148930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,7.457050351,1 +148931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.807991376,1 +148929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.948230445,1 +148932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.410303459,1 +148933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.823535892,1 +148934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.47583677,1 +148936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.711718187,1 +148935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.47751275,1 +148937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.589111061,1 +148938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.832770576,1 +148939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.388303563,1 +148940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.241140058,1 +148941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.449827301,1 +148942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.90350875,1 +148943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.067631207,1 +148944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,1.567504645,1 +148945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.839083971,1 +148946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.450649019,1 +148947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.20255647,1 +148949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.085254435,1 +148948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.722775904,1 +148950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.54500925,1 +148951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.66600301,1 +148954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.038098778,1 +148953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.388644405,1 +148952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.693293661,1 +148955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.464166175,1 +148956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.098769934,1 +148958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.025179496,1 +148959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.561349153,1 +148957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.88279505,1 +148960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.618466567,1 +148962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.814045083,1 +148961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.07505202,1 +148964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.021742948,1 +148966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.464288544,1 +148965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.623312096,1 +148967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.880260056,1 +148968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.173329485,1 +148963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.249228847,1 +148969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.255329978,1 +148970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.408494966,1 +148971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.065030371,1 +148973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.180003267,1 +148974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.817662237,1 +148975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.321032669,1 +148976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.104047121,1 +148972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.545423385,1 +148977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.115654658,1 +148978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.185259789,1 +148980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.65798707,1 +148979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.962081658,1 +148981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.749325566,1 +148982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.096426622,1 +148984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.006153522,1 +148983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.805513874,1 +148985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,6.308101504,1 +148988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.063134788,1 +148987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.169850709,1 +148989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,3.49123651,1 +148990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.502126294,1 +148991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.066592366,1 +148986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.067730057,1 +148994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.224125057,1 +148992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,7.282606297,1 +148993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,6.008298574,1 +148995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.26150972,1 +148996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.544774332,1 +148997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,5.684581774,1 +148998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,2.328711374,1 +148999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.84052107,1 +149000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,9,1,4.748756543,1 +158001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.080075116,1 +158002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.823571864,1 +158003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.4709689,1 +158005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.570968125,1 +158004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.116800968,1 +158006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.243895462,1 +158007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.433235613,1 +158008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.853237626,1 +158009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.50580234,1 +158010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.382341203,1 +158011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.746861336,1 +158013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.755237777,1 +158015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.534532902,1 +158014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.495339587,1 +158016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,7.084995083,1 +158012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.516241318,1 +158018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.424620963,1 +158017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.906937227,1 +158019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.153910032,1 +158020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.859881716,1 +158022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.028175136,1 +158021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.394710782,1 +158023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.353341157,1 +158024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,9.33326017,1 +158026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.519863419,1 +158025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.627052841,1 +158027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.507071843,1 +158029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.731928292,1 +158028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.443775323,1 +158030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.109298928,1 +158031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.562121229,1 +158034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.286881769,1 +158032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.993048254,1 +158033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.854764358,1 +158036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.837630891,1 +158037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.124200319,1 +158035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.455544773,1 +158038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,7.335889626,1 +158039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.577878708,1 +158040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.557891838,1 +158042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.352351,1 +158043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.775139245,1 +158041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.83360814,1 +158044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.763911033,1 +158047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.377540229,1 +158048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.721112577,1 +158046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.10283367,1 +158045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.610488821,1 +158049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.783438677,1 +158051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.192614084,1 +158050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.402831795,1 +158052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.645780781,1 +158054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.061941433,1 +158055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.211792033,1 +158057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.677078623,1 +158058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.485047706,1 +158056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.777122898,1 +158053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.38868528,1 +158060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.98533713,1 +158059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.373385535,1 +158061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.121383467,1 +158062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.236672493,1 +158063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.010685843,1 +158064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.239502556,1 +158066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.966796743,1 +158065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.070109712,1 +158067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.730136472,1 +158068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.956984003,1 +158069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.52848457,1 +158070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.000567022,1 +158071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.030972496,1 +158072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.251414666,1 +158074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.015761373,1 +158075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.141579511,1 +158076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.741980965,1 +158077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.710310486,1 +158073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.34502004,1 +158078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.932816465,1 +158079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.733338874,1 +158081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.101389708,1 +158080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.064995674,1 +158082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.10142391,1 +158083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.437710045,1 +158085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.653529288,1 +158084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.698783874,1 +158086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.533864521,1 +158087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,7.669530287,1 +158089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.311241189,1 +158088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.98547079,1 +158090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.189305085,1 +158091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.920591128,1 +158092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.810739503,1 +158093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.565983907,1 +158094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.168170053,1 +158095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.332951708,1 +158096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.129686208,1 +158098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.393305345,1 +158097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.113444385,1 +158100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.283132474,1 +158101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.575893707,1 +158102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.69228931,1 +158099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.64025395,1 +158103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.225168122,1 +158104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.567027288,1 +158105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.011991237,1 +158107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.530936761,1 +158106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.736214763,1 +158108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,7.250754884,1 +158111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.958689939,1 +158109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.155281048,1 +158110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.791628405,1 +158112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.984752972,1 +158114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.456889106,1 +158115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.630730175,1 +158116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.291837517,1 +158117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.589238496,1 +158118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.755999487,1 +158119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.620312373,1 +158113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.059062214,1 +158121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.22850672,1 +158120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.314197479,1 +158122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.777928382,1 +158123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,7.144697597,1 +158124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.018369765,1 +158126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.986070015,1 +158127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,7.492881883,1 +158125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.448449259,1 +158129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.505572974,1 +158128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.420038742,1 +158130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.189232538,1 +158131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.401932192,1 +158132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.128881748,1 +158133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.157710618,1 +158135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.991083548,1 +158136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.920482605,1 +158137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,8.814050943,1 +158134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.059932809,1 +158138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.59099595,1 +158141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.95259602,1 +158139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.631693671,1 +158140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.514066075,1 +158142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.774451318,1 +158143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.92463174,1 +158145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.629399216,1 +158144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.667008891,1 +158146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.655694346,1 +158147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.113030555,1 +158148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.730701439,1 +158149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.687143022,1 +158150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.707226944,1 +158151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.104696114,1 +158152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.584757,1 +158153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.105588094,1 +158154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.694412857,1 +158157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.55337186,1 +158155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.929817585,1 +158156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.512420039,1 +158159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.493785079,1 +158158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.066938138,1 +158160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.973681756,1 +158161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.310779035,1 +158162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.406978497,1 +158164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.126259415,1 +158163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.826400997,1 +158166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.444360569,1 +158167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.748893356,1 +158168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.293889362,1 +158165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.208531214,1 +158171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.868571652,1 +158172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.013364913,1 +158169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.867928383,1 +158170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.742222126,1 +158174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.772018103,1 +158175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.952468791,1 +158176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.03852751,1 +158173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.24744905,1 +158178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.5297767,1 +158179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.4008567,1 +158181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.810330942,1 +158180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.945247604,1 +158182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.76359052,1 +158177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.765260873,1 +158184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.333269094,1 +158186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.414317136,1 +158185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.969465332,1 +158183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.009140899,1 +158188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.343761575,1 +158190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.243220745,1 +158189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.012000975,1 +158191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.142527078,1 +158187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.036971024,1 +158193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,0.999842526,1 +158192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.212826425,1 +158195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.483511096,1 +158196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,7.604017439,1 +158197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.282879425,1 +158194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.349902464,1 +158200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.712556503,1 +158198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.310270261,1 +158199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.527341814,1 +158201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.26755133,1 +158203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.729130497,1 +158202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.299898606,1 +158204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.506221272,1 +158205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.78036632,1 +158207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.331389105,1 +158208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.863778164,1 +158209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.034374399,1 +158206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.344615735,1 +158210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.079155676,1 +158211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.950413713,1 +158214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.550643591,1 +158215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.90655059,1 +158213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,7.834119706,1 +158212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.572855447,1 +158216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.981824498,1 +158217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.060386062,1 +158218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,0.403582396,1 +158219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,8.332201162,1 +158220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,7.01560871,1 +158221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.66925545,1 +158222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.843093969,1 +158223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.22573183,1 +158224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.530759293,1 +158225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.982351795,1 +158227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.029757884,1 +158228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.237979035,1 +158229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.302550895,1 +158230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.518315335,1 +158226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.120898064,1 +158231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.261908538,1 +158234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.296708567,1 +158233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.432570272,1 +158232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.902394479,1 +158235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.531384569,1 +158236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.6084904,1 +158237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.955550664,1 +158238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.498186863,1 +158239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.551815777,1 +158241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.233685768,1 +158240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.93428641,1 +158242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.072369362,1 +158243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.847063693,1 +158244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.893870783,1 +158246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.657737976,1 +158247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.546817344,1 +158248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.804444713,1 +158249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.386363812,1 +158245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.087353383,1 +158250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.008703142,1 +158251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.750171275,1 +158252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.550614031,1 +158253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.343320292,1 +158255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.786203118,1 +158254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.411160524,1 +158256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.404372379,1 +158257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.484279689,1 +158258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,8.603932034,1 +158260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.53302187,1 +158259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.512916384,1 +158261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.174580353,1 +158262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.628687724,1 +158264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.767414279,1 +158263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.561698779,1 +158265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.638315107,1 +158266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.07481775,1 +158267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.170539224,1 +158268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.195594072,1 +158270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.744081142,1 +158269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.093536853,1 +158272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.470182824,1 +158271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.319244291,1 +158273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.005023782,1 +158275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.79995129,1 +158276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.653976134,1 +158274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.408186818,1 +158277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.454022188,1 +158278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.999499246,1 +158280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.462542976,1 +158281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.510420234,1 +158282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.465637529,1 +158283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.28531927,1 +158279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,8.362724529,1 +158284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.428112834,1 +158285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.873443757,1 +158286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.324283418,1 +158288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.519912707,1 +158289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.418874444,1 +158287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.385696792,1 +158290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.593976112,1 +158293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.037975529,1 +158291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.023662209,1 +158292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.481209518,1 +158294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.974496335,1 +158295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.730817256,1 +158296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.546574794,1 +158297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.198257142,1 +158298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.706745585,1 +158300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.497034742,1 +158301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.977265202,1 +158303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.61683003,1 +158299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.121884202,1 +158304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.140605042,1 +158302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.350071441,1 +158305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.767595962,1 +158306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.799123939,1 +158308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.186946529,1 +158307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.288415346,1 +158310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.924388027,1 +158309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.948352465,1 +158311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.039970437,1 +158312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,7.029565973,1 +158313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.744661602,1 +158314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.249931766,1 +158318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.891208899,1 +158316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.763408474,1 +158317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.821093111,1 +158315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.283563027,1 +158319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.301837615,1 +158320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.212021527,1 +158322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.343447226,1 +158324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.155274774,1 +158321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.494470033,1 +158323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.438782105,1 +158325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.971618713,1 +158326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.832841571,1 +158327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.684643944,1 +158328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.480597955,1 +158329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.361832231,1 +158330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.322373639,1 +158331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.509504331,1 +158332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,0.983691676,1 +158333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.782249419,1 +158334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.616945015,1 +158336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.893046039,1 +158335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.199958022,1 +158337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.466139591,1 +158338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.565368753,1 +158340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.688224682,1 +158339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.809765165,1 +158342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.43140703,1 +158343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.930591011,1 +158341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.496504574,1 +158344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,9.535893906,1 +158345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.916596487,1 +158346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.395940811,1 +158347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.832450544,1 +158348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.619609369,1 +158349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.550211218,1 +158350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.326552645,1 +158351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.001105891,1 +158354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.823451711,1 +158352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.392306923,1 +158353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.191279609,1 +158357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.641156307,1 +158356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.058738729,1 +158355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.118820062,1 +158358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.625984696,1 +158360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.94476814,1 +158361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.643436692,1 +158362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.827030364,1 +158359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.170065787,1 +158363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.367006055,1 +158364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.799084446,1 +158365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.876583037,1 +158367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.061959701,1 +158368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.213067056,1 +158366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.682217321,1 +158369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.219604179,1 +158370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.988945351,1 +158371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.121966423,1 +158372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.316268503,1 +158373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.989247033,1 +158374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.526854852,1 +158375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.873109209,1 +158376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.672336598,1 +158377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.568014844,1 +158378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.224886361,1 +158379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.259230978,1 +158381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.086114611,1 +158382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.125807219,1 +158383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,7.035695411,1 +158384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.736661198,1 +158380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.111550961,1 +158385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.925208356,1 +158386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.804997894,1 +158388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.089270948,1 +158387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.275093226,1 +158389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.887545079,1 +158390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.471912679,1 +158391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.69377021,1 +158393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.451691143,1 +158392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.106879243,1 +158394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.252276906,1 +158395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.989136899,1 +158396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.460642608,1 +158398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.331133978,1 +158399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.730463339,1 +158397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.357561669,1 +158400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.972509334,1 +158401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.064034338,1 +158404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.316973391,1 +158402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.756621651,1 +158405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.554733563,1 +158403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.814483878,1 +158406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.182342329,1 +158407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.012091808,1 +158408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.326210424,1 +158409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.974825287,1 +158410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.698219887,1 +158411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.961736644,1 +158412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.598801512,1 +158413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.182861092,1 +158414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.593336514,1 +158415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.714678326,1 +158416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.278227323,1 +158418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.679916076,1 +158419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,0.833372706,1 +158420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.553833187,1 +158417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.978382627,1 +158421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.445230565,1 +158422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.708766057,1 +158423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.12394362,1 +158424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.671344059,1 +158425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,7.832748425,1 +158426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.770646592,1 +158427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.166575266,1 +158429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.439385216,1 +158430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.567228871,1 +158428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.474101193,1 +158431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.424172981,1 +158434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.572250433,1 +158432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.219603635,1 +158433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.474869715,1 +158435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.967414554,1 +158437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.552387706,1 +158438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.11918971,1 +158439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.943447612,1 +158440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.267857466,1 +158441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.710061365,1 +158442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.196998087,1 +158443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.289873197,1 +158436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.668335029,1 +158444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.890606229,1 +158445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.259945538,1 +158447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.706886712,1 +158446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.630480303,1 +158448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.214144614,1 +158449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.76569198,1 +158450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.942480402,1 +158451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.444320085,1 +158452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.054341693,1 +158453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.30565384,1 +158455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.168922025,1 +158456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.092263305,1 +158457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.489134457,1 +158458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,7.218247801,1 +158454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.766000199,1 +158459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.783348278,1 +158460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.279972837,1 +158461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.479821135,1 +158462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.028417183,1 +158463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.464167535,1 +158464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.290513244,1 +158465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.337924501,1 +158467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.886150336,1 +158466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.00687994,1 +158468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.014871882,1 +158469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.469577648,1 +158470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.019947504,1 +158471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.161420206,1 +158472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.724380913,1 +158473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.509411551,1 +158474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.875766433,1 +158476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.48001107,1 +158477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.541716395,1 +158478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.608569384,1 +158475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.131667093,1 +158479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,11.12993124,1 +158480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.020306838,1 +158482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.267089016,1 +158481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.897292996,1 +158483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.083531384,1 +158484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.748920923,1 +158486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.297827935,1 +158485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.0628575,1 +158487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.008833385,1 +158488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.006460815,1 +158489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.76505229,1 +158491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.918036508,1 +158490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.120482148,1 +158492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.732071055,1 +158494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.407524212,1 +158495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.651901259,1 +158496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.342896252,1 +158497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.410704194,1 +158498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.132508129,1 +158493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.11037283,1 +158499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.816450999,1 +158500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.160988382,1 +158503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.554313881,1 +158501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.049708701,1 +158504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.302926456,1 +158502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.420031575,1 +158505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.755920991,1 +158506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.792788067,1 +158507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.621889671,1 +158508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.548087251,1 +158509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.518994223,1 +158511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.156763129,1 +158512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.491993506,1 +158510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.217311449,1 +158513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.078776206,1 +158514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.993855283,1 +158515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.704543062,1 +158517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.697689506,1 +158516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.301937514,1 +158518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.347475576,1 +158520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.608419232,1 +158521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.231134487,1 +158522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.029574933,1 +158519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.907883919,1 +158523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.511213782,1 +158524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.582723347,1 +158525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,7.14155388,1 +158526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.480597235,1 +158527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.289388554,1 +158528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.059756533,1 +158530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.163748147,1 +158529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.123066007,1 +158531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.896211303,1 +158533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.702195041,1 +158532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.247500425,1 +158534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.515251514,1 +158535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.214871723,1 +158538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.993794913,1 +158537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.717710733,1 +158536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.595791003,1 +158539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.224754312,1 +158541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.143108325,1 +158540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,7.45065597,1 +158542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.515701542,1 +158543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.476044948,1 +158545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.019677949,1 +158544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.083982374,1 +158546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.254039033,1 +158547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.102315435,1 +158548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.660407403,1 +158550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.148585367,1 +158549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.097591859,1 +158551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.982832244,1 +158552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.288706879,1 +158554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.737419107,1 +158555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.391630945,1 +158553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.379049877,1 +158556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.600443587,1 +158558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.994889234,1 +158559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,9.007128974,1 +158560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.091399902,1 +158561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.253818222,1 +158562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.414651498,1 +158563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.724930182,1 +158557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.330162347,1 +158565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.976550652,1 +158564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.056531834,1 +158566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.3021921,1 +158567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.403138413,1 +158568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.647678222,1 +158570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.695233197,1 +158569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.906699241,1 +158571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.084616546,1 +158572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.872930438,1 +158573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.027031034,1 +158574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.537149511,1 +158575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.646285646,1 +158576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.209807182,1 +158577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.148791648,1 +158578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.084484816,1 +158580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.49293351,1 +158581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.062012066,1 +158582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.181449792,1 +158579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.147621127,1 +158585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.817328803,1 +158583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.133673462,1 +158584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.962016714,1 +158587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.716517459,1 +158586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.299361455,1 +158588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.927583592,1 +158589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.588137615,1 +158590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.452962377,1 +158592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.447959099,1 +158591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.427996219,1 +158593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.523681451,1 +158594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.127498588,1 +158595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.211844838,1 +158597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.206448105,1 +158596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.20567056,1 +158598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,0.758931908,1 +158599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.488324868,1 +158602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.680781427,1 +158600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.537379343,1 +158601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.389973869,1 +158603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.709570303,1 +158604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.093860982,1 +158605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.026783278,1 +158606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.521976228,1 +158607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.813878195,1 +158608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.228385071,1 +158609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.557376404,1 +158611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.87455205,1 +158610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.642773797,1 +158612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.839373031,1 +158613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.100841942,1 +158614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.598000755,1 +158616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,11.82386381,1 +158617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.814014493,1 +158618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.104506355,1 +158615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.557836014,1 +158619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.030272853,1 +158620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.412437475,1 +158621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.155142519,1 +158622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.845388483,1 +158623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.208119298,1 +158624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.164950314,1 +158625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.91040168,1 +158626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.421295859,1 +158627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,8.087422617,1 +158628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.502486783,1 +158629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.87596275,1 +158630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,8.815221768,1 +158632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.259650797,1 +158633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.581917443,1 +158631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.890581684,1 +158635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.123134547,1 +158634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.077351231,1 +158636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.760797587,1 +158637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.790633595,1 +158638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.597349726,1 +158639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.793232156,1 +158641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.732849007,1 +158640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.378627434,1 +158642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,8.219934143,1 +158643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.885003078,1 +158644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.587725002,1 +158645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.757737546,1 +158646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.616976923,1 +158647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.462414607,1 +158649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.9492254,1 +158648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.483964818,1 +158650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.6613756,1 +158652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.455968741,1 +158653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.678592179,1 +158654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.394968431,1 +158655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.215043641,1 +158651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,8.68007351,1 +158656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.946886752,1 +158658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.871284726,1 +158657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.864749785,1 +158660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.38493616,1 +158659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.581305078,1 +158663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.122480342,1 +158662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.559617047,1 +158661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.659037809,1 +158664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.503431811,1 +158666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,0.673356731,1 +158667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.475728457,1 +158669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.393397104,1 +158665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.928813805,1 +158670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,10.11784048,1 +158671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.648828883,1 +158672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.445258804,1 +158673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.075694771,1 +158668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.148068191,1 +158674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.024750313,1 +158675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.148863815,1 +158677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.800717047,1 +158679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,7.777693124,1 +158676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.013767663,1 +158678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,7.223570334,1 +158680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.359247587,1 +158682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.037725502,1 +158683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.475086947,1 +158685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.67843975,1 +158684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,7.383531022,1 +158686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.511373295,1 +158681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.233777878,1 +158687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.985997901,1 +158689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.660363959,1 +158690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.694550301,1 +158691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.546206915,1 +158688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.186118636,1 +158693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.776228291,1 +158692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.992523647,1 +158695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.564682262,1 +158694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.565456326,1 +158696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.142261194,1 +158697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.323496685,1 +158700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.580395558,1 +158699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.393061335,1 +158698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.442061238,1 +158701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.983886125,1 +158703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.541970439,1 +158705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.860811265,1 +158704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.602810391,1 +158706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.442813752,1 +158702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.940943497,1 +158707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.087339104,1 +158708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,9.02190775,1 +158709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.65506185,1 +158710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.868490987,1 +158711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.322920115,1 +158712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.947077258,1 +158713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.971221958,1 +158714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.893659027,1 +158715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.549842533,1 +158716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,8.500712892,1 +158719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.861881146,1 +158717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.991312396,1 +158718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.459184107,1 +158720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.290671716,1 +158722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.883837211,1 +158721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.319638404,1 +158723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.424185293,1 +158726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.974108183,1 +158725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,0.828353249,1 +158724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.147606717,1 +158727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,9.338932142,1 +158728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.892923411,1 +158729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.233231781,1 +158730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.689767783,1 +158731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.824773812,1 +158733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.056049609,1 +158732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.030623247,1 +158735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.049088294,1 +158734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.630728296,1 +158736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.096289477,1 +158737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.693145992,1 +158738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.257648947,1 +158739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.149042971,1 +158740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.589968035,1 +158741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.108793356,1 +158742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.40703908,1 +158744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.943466118,1 +158745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.275417738,1 +158746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.356848135,1 +158747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.323511843,1 +158748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.613773937,1 +158749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.974490859,1 +158750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.229523446,1 +158743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.997496178,1 +158751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.973440004,1 +158754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.110227219,1 +158752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.474447056,1 +158753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.070081289,1 +158756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,8.832360034,1 +158755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.577278713,1 +158757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.294535251,1 +158758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.140696773,1 +158759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.002545531,1 +158760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.714109335,1 +158761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.094572108,1 +158762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,0.732015577,1 +158764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.86937348,1 +158765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.044112698,1 +158766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.13164445,1 +158767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.073489016,1 +158763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.697761174,1 +158768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.142818679,1 +158769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.122787569,1 +158771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.977683351,1 +158770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.361102739,1 +158772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.361145834,1 +158773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.302058205,1 +158774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.06662754,1 +158775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.932619537,1 +158776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.566599245,1 +158777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.862438036,1 +158779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.343972656,1 +158780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.499768788,1 +158778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.039835028,1 +158781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.791923261,1 +158782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.412720421,1 +158783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.899338056,1 +158785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.294922155,1 +158784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.10073546,1 +158786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.907679077,1 +158787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.224842311,1 +158788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.637621893,1 +158790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.397008395,1 +158791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.257214668,1 +158792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.594922644,1 +158789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,7.34582509,1 +158793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.624536202,1 +158794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.784864627,1 +158795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.563682246,1 +158796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.521138596,1 +158797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.744194075,1 +158798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.227324045,1 +158799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.456195142,1 +158800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.275190564,1 +158801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.279745326,1 +158802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.495987452,1 +158803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.847934284,1 +158805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.998791076,1 +158806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.996093311,1 +158804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.929527882,1 +158807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.329770512,1 +158808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.172332346,1 +158809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.743449442,1 +158811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.821010356,1 +158810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.556515146,1 +158812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.713444993,1 +158813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.362250613,1 +158814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,7.777888014,1 +158815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.824454352,1 +158816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.434033563,1 +158817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.269072502,1 +158818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.684589956,1 +158820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.468684044,1 +158819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.25687669,1 +158821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.023232464,1 +158822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.421995021,1 +158823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.220614972,1 +158824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.522529242,1 +158825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.064781024,1 +158826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.285687556,1 +158827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.958965545,1 +158828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.283089721,1 +158829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.233014513,1 +158830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.649330622,1 +158831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.761132563,1 +158832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.244668637,1 +158834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.433716805,1 +158833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.384185572,1 +158835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.83939614,1 +158836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.008323302,1 +158838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.183957088,1 +158839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.922058813,1 +158837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.897233684,1 +158840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.759044823,1 +158841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.079512163,1 +158842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.12155964,1 +158845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.506798911,1 +158844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.555386094,1 +158843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,7.757495097,1 +158846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.872895225,1 +158847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.372648978,1 +158849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.677837758,1 +158848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.442975292,1 +158850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,0.980252717,1 +158851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.17990532,1 +158853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.544590429,1 +158854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.098431388,1 +158855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.30609903,1 +158856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.104891881,1 +158852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.925532881,1 +158857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.504145497,1 +158858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.969594236,1 +158859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.984591634,1 +158860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.21057939,1 +158861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,9.739394385,1 +158862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.239728824,1 +158864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.511760292,1 +158865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.235248183,1 +158863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.723479307,1 +158866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.330367429,1 +158867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.15576777,1 +158868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.346957217,1 +158869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,8.512955303,1 +158870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.201868686,1 +158872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.265720117,1 +158873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.399574704,1 +158874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.319846008,1 +158875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,8.830294864,1 +158871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.908117686,1 +158877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.807165262,1 +158876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.769822919,1 +158878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.004743827,1 +158879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.567031489,1 +158880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.250588033,1 +158881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.863678842,1 +158882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.713010799,1 +158883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.129024602,1 +158884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,8.41374207,1 +158886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.454143295,1 +158885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.850176644,1 +158887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.643020222,1 +158888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.339263153,1 +158890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.57154544,1 +158892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.700135438,1 +158891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.391222027,1 +158889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.716785711,1 +158894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.853932032,1 +158893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.420615721,1 +158895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.834134989,1 +158896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,8.299768405,1 +158897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.026572912,1 +158898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.511651299,1 +158900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.781466882,1 +158899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.821694125,1 +158901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,13.84078152,1 +158902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.648009479,1 +158903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.360162158,1 +158904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.11434881,1 +158905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.080049432,1 +158907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.727663145,1 +158906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.024627564,1 +158908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.177900436,1 +158909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.973704652,1 +158910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.96260788,1 +158912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,7.604166936,1 +158913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.849087262,1 +158914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.156447448,1 +158915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.074751928,1 +158916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.730433748,1 +158911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.073724066,1 +158917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.593085847,1 +158918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.315540396,1 +158919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.281151693,1 +158921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,0.854794859,1 +158920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.470778227,1 +158922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.708972387,1 +158925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.201208492,1 +158923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.544910887,1 +158924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.926936933,1 +158926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.993727108,1 +158929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.031431089,1 +158928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.524357398,1 +158930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,7.602036255,1 +158931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,8.64562669,1 +158932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.424145542,1 +158927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.818728153,1 +158933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.748689454,1 +158934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.886531291,1 +158935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.896900644,1 +158936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.327481231,1 +158937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.390145129,1 +158939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.218696568,1 +158938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.013006937,1 +158940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.279647754,1 +158941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.707936749,1 +158942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.791324151,1 +158943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.817233548,1 +158945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.518761993,1 +158944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.294708078,1 +158946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.974633016,1 +158947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.247613398,1 +158948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.735359583,1 +158950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.914350346,1 +158951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.992453091,1 +158952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.297980683,1 +158949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.879218801,1 +158955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.575292058,1 +158953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.584752899,1 +158954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.066889884,1 +158956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.462833852,1 +158958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.824855107,1 +158957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.616250331,1 +158959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.349242497,1 +158960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.763339563,1 +158961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.735027203,1 +158963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.332249776,1 +158962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.747690658,1 +158964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.502975285,1 +158965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.075137229,1 +158966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.481420033,1 +158967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.187806335,1 +158969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.352749748,1 +158968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.793474236,1 +158970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.436972697,1 +158971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.847108497,1 +158972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.868497354,1 +158974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.011139838,1 +158975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.601241463,1 +158973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.398700131,1 +158976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.114019798,1 +158977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.35650781,1 +158978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.31062869,1 +158979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.27983574,1 +158981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.570401439,1 +158982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.423727476,1 +158980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.514314483,1 +158983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.950454405,1 +158986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.215271247,1 +158984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.180192025,1 +158985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.424170956,1 +158988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.667481289,1 +158989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,1.681161021,1 +158990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.510049521,1 +158991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.336983023,1 +158992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.833376862,1 +158987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.651972554,1 +158993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.964455608,1 +158994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.553874445,1 +158995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,3.216598838,1 +158997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,5.962448532,1 +158998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,6.907984282,1 +158999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.382455959,1 +158996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,4.2938895,1 +159000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,9,1,2.329357512,1 +168001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.170493734,0.999 +168003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.571069504,0.999 +168004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.621572103,0.999 +168005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.35045851,0.999 +168002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.644755407,0.999 +168006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,9.180175781,0.999 +168008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.745233758,0.999 +168007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.381886199,0.999 +168009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,0.388009336,0.999 +168012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.786895979,0.999 +168010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.20810124,0.999 +168011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.063926408,0.999 +168013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.507229434,0.999 +168015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,9.071565255,0.999 +168014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,7.150455171,0.999 +168017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.657200134,0.999 +168018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.729618319,0.999 +168019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.953594547,0.999 +168016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.672456446,0.999 +168021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.942614379,0.999 +168022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.925660264,0.999 +168020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.197317624,0.999 +168023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.141052844,0.999 +168024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.145788614,0.999 +168025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.098465393,0.999 +168026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.506029042,0.999 +168027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.053917958,0.999 +168028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.783235559,0.999 +168029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.209129115,0.999 +168031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,0.708612027,0.999 +168030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,7.918747797,0.999 +168032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.84122045,0.999 +168033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.799954842,0.999 +168034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.310760791,0.999 +168035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.589200554,0.999 +168036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.689502488,0.999 +168037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.821499143,0.999 +168039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.18457608,0.999 +168041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.231850355,0.999 +168040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.343438041,0.999 +168038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.709226363,0.999 +168044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.199226788,0.999 +168043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.853633188,0.999 +168042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.754371477,0.999 +168045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.849969494,0.999 +168047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.51124363,0.999 +168046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.622758308,0.999 +168048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.742261444,0.999 +168049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.497034404,0.999 +168050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.426449727,0.999 +168051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,9.984453811,0.999 +168052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,7.248196736,0.999 +168053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.103008256,0.999 +168055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.361004958,0.999 +168056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.241135573,0.999 +168057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.219710942,0.999 +168054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.999488768,0.999 +168058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.288142515,0.999 +168059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.107533371,0.999 +168061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.615515872,0.999 +168062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.694163251,0.999 +168063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.367852357,0.999 +168064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.34581755,0.999 +168060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.305586929,0.999 +168065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.575210312,0.999 +168066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.0672703,0.999 +168067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,7.182124307,0.999 +168068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.346514014,0.999 +168069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.115035899,0.999 +168070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.237428835,0.999 +168072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.171283003,0.999 +168071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.693848181,0.999 +168073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.881773529,0.999 +168074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.048911548,0.999 +168077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.829545165,0.999 +168076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.307727005,0.999 +168078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.863397594,0.999 +168075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.598572746,0.999 +168079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,7.60898748,0.999 +168080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.79466474,0.999 +168081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.410094278,0.999 +168083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.699121083,0.999 +168084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.550433027,0.999 +168082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.658447361,0.999 +168085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,9.673083231,0.999 +168086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.676137868,0.999 +168088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.611331216,0.999 +168087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.210307619,0.999 +168089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.518390516,0.999 +168090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.337723054,0.999 +168092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.876541463,0.999 +168091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.072716545,0.999 +168093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.750501176,0.999 +168094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.045371577,0.999 +168095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.231590388,0.999 +168097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.341255846,0.999 +168098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.309521163,0.999 +168099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.608040579,0.999 +168096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.589133709,0.999 +168100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,0.027211926,0.999 +168102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.648075783,0.999 +168101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,7.294598191,0.999 +168104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.121970539,0.999 +168103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.431211581,0.999 +168106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.474931191,0.999 +168105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.487151542,0.999 +168107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.357093353,0.999 +168108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.677658531,0.999 +168109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.426053319,0.999 +168110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.258295707,0.999 +168111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.87769665,0.999 +168113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.043598968,0.999 +168114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.006316851,0.999 +168115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.712806903,0.999 +168112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.538481622,0.999 +168116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,9.415294918,0.999 +168117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.212004381,0.999 +168118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.182172809,0.999 +168119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.510363144,0.999 +168120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.062142943,0.999 +168121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,8.469131611,0.999 +168122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,7.188821292,0.999 +168123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.134287978,0.999 +168124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.683295717,0.999 +168125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.117823531,0.999 +168126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.925195284,0.999 +168127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.564651489,0.999 +168128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.273125654,0.999 +168129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.111382402,0.999 +168130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.543744563,0.999 +168132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.83581912,0.999 +168133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.347568268,0.999 +168131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.521476307,0.999 +168135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.426686648,0.999 +168134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,0.441266058,0.999 +168136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.211199231,0.999 +168137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.015054826,0.999 +168138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.36177251,0.999 +168140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.48612784,0.999 +168139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.931387329,0.999 +168141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.130363556,0.999 +168142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.103578687,0.999 +168143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.831834247,0.999 +168145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.981012723,0.999 +168144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.88066702,0.999 +168146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.969880145,0.999 +168147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.155057757,0.999 +168149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,0.347495086,0.999 +168150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.255384265,0.999 +168148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.386395197,0.999 +168151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.235193334,0.999 +168153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.319620331,0.999 +168155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,0.98664648,0.999 +168154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.930750596,0.999 +168152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.86655838,0.999 +168156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.29880779,0.999 +168158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,7.733376373,0.999 +168157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.34147434,0.999 +168160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.288245598,0.999 +168159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.782913241,0.999 +168162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.1371724,0.999 +168164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.585756799,0.999 +168163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.152254527,0.999 +168161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.476888223,0.999 +168165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.379792918,0.999 +168167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.900069462,0.999 +168166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.165150063,0.999 +168168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.938678769,0.999 +168169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,9.811380317,0.999 +168170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.040108887,0.999 +168172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.804970477,0.999 +168173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,9.103997519,0.999 +168171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.51481264,0.999 +168174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.519341044,0.999 +168175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.620877095,0.999 +168177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.720795999,0.999 +168176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.889320972,0.999 +168178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.931172695,0.999 +168179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.808793724,0.999 +168180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,12.92632649,0.999 +168182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.090528038,0.999 +168181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.768577031,0.999 +168184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.072360401,0.999 +168183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.773436258,0.999 +168185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.353266015,0.999 +168186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.915625934,0.999 +168187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,7.914350785,0.999 +168188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.862952093,0.999 +168189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.471547581,0.999 +168190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.307652574,0.999 +168192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.422744582,0.999 +168194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.466313067,0.999 +168193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.009124414,0.999 +168191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.878329259,0.999 +168195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.508038501,0.999 +168197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.5517241,0.999 +168196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.239369317,0.999 +168198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.629755984,0.999 +168199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.4227031,0.999 +168200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.959293199,0.999 +168201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.054872276,0.999 +168202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.154302653,0.999 +168203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.078446629,0.999 +168204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.777571719,0.999 +168205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.03170431,0.999 +168206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.222535782,0.999 +168209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.997693597,0.999 +168208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.592871869,0.999 +168210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.169817773,0.999 +168212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.079644141,0.999 +168211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.389320217,0.999 +168207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.235378264,0.999 +168213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,8.125990693,0.999 +168215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.799585153,0.999 +168214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.134859349,0.999 +168217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.88503119,0.999 +168216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.109272193,0.999 +168218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.362449474,0.999 +168219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.583322649,0.999 +168220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.10941644,0.999 +168221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.325410407,0.999 +168222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.192639994,0.999 +168223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.452596329,0.999 +168224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.01060311,0.999 +168225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.038764018,0.999 +168226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.734329961,0.999 +168227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,0.98284078,0.999 +168228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.416808061,0.999 +168229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.743359002,0.999 +168231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.232822772,0.999 +168233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.491207965,0.999 +168232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.155913938,0.999 +168234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.410141443,0.999 +168235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.672450111,0.999 +168236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.871885757,0.999 +168230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.660689822,0.999 +168237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.755825594,0.999 +168239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.595810017,0.999 +168238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.288561425,0.999 +168240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.625979241,0.999 +168241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.521884359,0.999 +168242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.944712678,0.999 +168243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.652769029,0.999 +168245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,8.707270257,0.999 +168244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.824461014,0.999 +168246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,0.465929342,0.999 +168247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.035168339,0.999 +168248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.459578478,0.999 +168249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.681872761,0.999 +168250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.000132135,0.999 +168251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.969061937,0.999 +168252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.868702834,0.999 +168254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.010222194,0.999 +168253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.329344367,0.999 +168256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,8.381262023,0.999 +168255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.514577841,0.999 +168257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.083145927,0.999 +168259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.439460419,0.999 +168258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.813074356,0.999 +168260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.22936842,0.999 +168261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.983715951,0.999 +168262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.883386073,0.999 +168263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,11.29017422,0.999 +168264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.225371404,0.999 +168265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.105776776,0.999 +168266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.960474899,0.999 +168267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.951659086,0.999 +168268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.382463926,0.999 +168269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.068699206,0.999 +168272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.901021256,0.999 +168271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,11.44073661,0.999 +168270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.903945223,0.999 +168273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.322844766,0.999 +168274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.87514452,0.999 +168275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.104576635,0.999 +168277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.077485235,0.999 +168276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.062080398,0.999 +168278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.538084804,0.999 +168279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.761324487,0.999 +168280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.90996895,0.999 +168282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.709477183,0.999 +168281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.300094443,0.999 +168284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.218176261,0.999 +168283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.144510278,0.999 +168285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.181166949,0.999 +168286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.634320529,0.999 +168287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.318984384,0.999 +168290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.772216281,0.999 +168288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.420703164,0.999 +168289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.761090433,0.999 +168291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.269364202,0.999 +168293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.136968679,0.999 +168294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.860857288,0.999 +168295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.123085466,0.999 +168297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.546006746,0.999 +168296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.928028453,0.999 +168292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.261296121,0.999 +168298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.56470577,0.999 +168300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.349497873,0.999 +168299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.340718754,0.999 +168301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.514030741,0.999 +168302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.471899251,0.999 +168304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.532641894,0.999 +168305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.227472398,0.999 +168303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.37778401,0.999 +168306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.572118464,0.999 +168308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.648397651,0.999 +168307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.218322361,0.999 +168309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.282949435,0.999 +168310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.073817025,0.999 +168312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.686436685,0.999 +168314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.746784337,0.999 +168313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.796801547,0.999 +168311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,0.52643388,0.999 +168315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.546591465,0.999 +168316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.368807468,0.999 +168318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.080679706,0.999 +168319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.503485793,0.999 +168320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.884039515,0.999 +168317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.971551986,0.999 +168321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.080345515,0.999 +168322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.503734841,0.999 +168323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.488784636,0.999 +168325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,8.06160817,0.999 +168326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.7892493,0.999 +168324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.063453318,0.999 +168327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,0.321793569,0.999 +168329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,0.981041726,0.999 +168328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.055489718,0.999 +168330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.708889569,0.999 +168331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.6106902,0.999 +168332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.774995768,0.999 +168333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.009515011,0.999 +168334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.008394061,0.999 +168335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,7.748026001,0.999 +168336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.062745209,0.999 +168338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.245954404,0.999 +168339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.2672225,0.999 +168340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.394305424,0.999 +168341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.805042283,0.999 +168342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.547846128,0.999 +168337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,8.327551966,0.999 +168344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.273362507,0.999 +168343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.674395696,0.999 +168345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.477099963,0.999 +168346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.706690287,0.999 +168348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.550395127,0.999 +168347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.503789744,0.999 +168349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.157844049,0.999 +168350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.157075743,0.999 +168351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.589019288,0.999 +168352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.906249309,0.999 +168353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.72461637,0.999 +168355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,10.03590581,0.999 +168354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,7.734841359,0.999 +168356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.610047734,0.999 +168357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.329817535,0.999 +168358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.590589499,0.999 +168360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.97115533,0.999 +168361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.843210095,0.999 +168359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.153615046,0.999 +168362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.462104433,0.999 +168363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.939639807,0.999 +168364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.888632441,0.999 +168366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.217183587,0.999 +168365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,8.29667758,0.999 +168367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,8.84993814,0.999 +168368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.904055334,0.999 +168369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.498055526,0.999 +168370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.443104076,0.999 +168371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.438108412,0.999 +168372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.307811113,0.999 +168373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.484626913,0.999 +168374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.624772871,0.999 +168375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.023802517,0.999 +168376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.532426395,0.999 +168377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.192367598,0.999 +168380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,8.046836391,0.999 +168378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.082774661,0.999 +168379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.201291993,0.999 +168381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.41339477,0.999 +168383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.913935986,0.999 +168382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,8.053443777,0.999 +168385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.182410558,0.999 +168384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,7.065931226,0.999 +168386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.757675826,0.999 +168387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.112122643,0.999 +168388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.752632284,0.999 +168391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.466138254,0.999 +168390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.897364734,0.999 +168389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.695818514,0.999 +168392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,8.797227493,0.999 +168395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.782510277,0.999 +168394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.603975722,0.999 +168393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.267947029,0.999 +168396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.764507817,0.999 +168399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.50894354,0.999 +168398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.599599413,0.999 +168400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.324530153,0.999 +168401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.637585349,0.999 +168397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,0.558566171,0.999 +168403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.223112261,0.999 +168402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.693210373,0.999 +168404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.871792274,0.999 +168405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.94403527,0.999 +168407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.892941029,0.999 +168406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.736779684,0.999 +168408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.402769665,0.999 +168409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.152145375,0.999 +168410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.820075998,0.999 +168411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.289884653,0.999 +168413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.271671091,0.999 +168412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.724942489,0.999 +168415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.92320589,0.999 +168414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,0.959343413,0.999 +168417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.896121332,0.999 +168418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.657375161,0.999 +168416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.116661021,0.999 +168420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.859802383,0.999 +168419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.21413386,0.999 +168422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.887870654,0.999 +168421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.833691844,0.999 +168423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.935946775,0.999 +168424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.54472341,0.999 +168425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.671658735,0.999 +168426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.390437635,0.999 +168427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.08396864,0.999 +168428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.073039608,0.999 +168429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.706394079,0.999 +168430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,9.63623529,0.999 +168431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.617437015,0.999 +168432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.314042093,0.999 +168434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.573086005,0.999 +168435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.266657015,0.999 +168433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.401920546,0.999 +168436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.727215913,0.999 +168437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.132198477,0.999 +168438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.5970686,0.999 +168439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.511006651,0.999 +168440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.582803222,0.999 +168442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,7.332189479,0.999 +168443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.515328748,0.999 +168441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.097872581,0.999 +168444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.693928552,0.999 +168445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,8.198883838,0.999 +168446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.053079182,0.999 +168447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.81516019,0.999 +168448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.39622486,0.999 +168449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.710588779,0.999 +168450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.379867485,0.999 +168451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.115400185,0.999 +168452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.115815083,0.999 +168453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,8.657190872,0.999 +168455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.869091648,0.999 +168454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.020869104,0.999 +168457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.614867541,0.999 +168458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.467516313,0.999 +168459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.937311123,0.999 +168460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.576048045,0.999 +168461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.5010998,0.999 +168456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.122065528,0.999 +168462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.46965131,0.999 +168463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.574880857,0.999 +168464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.345072559,0.999 +168466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.195557832,0.999 +168465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.920428185,0.999 +168468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.13499646,0.999 +168467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.082282868,0.999 +168470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.753865595,0.999 +168469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.032287438,0.999 +168472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.640095799,0.999 +168471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.07802846,0.999 +168473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.762775882,0.999 +168474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.437149976,0.999 +168475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.653008413,0.999 +168476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,0.97289852,0.999 +168478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.854608263,0.999 +168479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.759193449,0.999 +168480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.002399607,0.999 +168477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.216365272,0.999 +168481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.040570274,0.999 +168482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.127172513,0.999 +168483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.754811178,0.999 +168484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.304894632,0.999 +168486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.594542243,0.999 +168485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.216880706,0.999 +168487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.866395439,0.999 +168488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,7.980247554,0.999 +168490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.288648187,0.999 +168489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.030944511,0.999 +168491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.41909917,0.999 +168492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.356495807,0.999 +168494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.862690808,0.999 +168493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.480527729,0.999 +168495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,12.35966624,0.999 +168497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.683430328,0.999 +168498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.752267886,0.999 +168499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.384534816,0.999 +168496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.39966265,0.999 +168500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.362709861,0.999 +168502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.510907207,0.999 +168501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.883027007,0.999 +168504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,8.475104397,0.999 +168503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.528812123,0.999 +168505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,7.458021751,0.999 +168506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.3732926,0.999 +168508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.163572618,0.999 +168507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.216540512,0.999 +168509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.144425975,0.999 +168510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.280579813,0.999 +168513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.40208821,0.999 +168512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.677780448,0.999 +168514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.264776528,0.999 +168511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.635472573,0.999 +168515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.863901047,0.999 +168516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.89505645,0.999 +168517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.989443866,0.999 +168518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,0.366830262,0.999 +168519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.624246568,0.999 +168520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.39993195,0.999 +168521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.774321551,0.999 +168522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.267236123,0.999 +168523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.533875926,0.999 +168524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.02316509,0.999 +168525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,7.310853923,0.999 +168528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.826942519,0.999 +168527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.133943941,0.999 +168526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.9444575,0.999 +168529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.26029847,0.999 +168531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.060162131,0.999 +168530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.93332539,0.999 +168533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.144887201,0.999 +168532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.128306622,0.999 +168535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.677226581,0.999 +168534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.677015096,0.999 +168536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.436488877,0.999 +168537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.411770555,0.999 +168539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.420393338,0.999 +168538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.65011509,0.999 +168540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,0.780612716,0.999 +168542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.725542436,0.999 +168541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.312540764,0.999 +168543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.012475356,0.999 +168544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,0.755839805,0.999 +168545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.863415163,0.999 +168546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.515281193,0.999 +168548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.344085643,0.999 +168550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.478406329,0.999 +168549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.568136058,0.999 +168551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.578289245,0.999 +168547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.446935534,0.999 +168552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.053941142,0.999 +168553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.124531988,0.999 +168554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.035371214,0.999 +168556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.533944154,0.999 +168558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.175971494,0.999 +168555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.708681343,0.999 +168557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.681559805,0.999 +168559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.252380915,0.999 +168560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.664204935,0.999 +168561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.27832231,0.999 +168562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.864431212,0.999 +168564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.017286428,0.999 +168563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.257703978,0.999 +168565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.83365045,0.999 +168566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.184081434,0.999 +168567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.03760084,0.999 +168568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.334502813,0.999 +168569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.6251819,0.999 +168571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.823798161,0.999 +168570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.908164679,0.999 +168572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.964828672,0.999 +168576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.658708536,0.999 +168575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.519453477,0.999 +168573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.261224382,0.999 +168574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.055803943,0.999 +168579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.109612086,0.999 +168577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.184357671,0.999 +168580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.360722299,0.999 +168578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,7.452837692,0.999 +168581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.42160708,0.999 +168583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.803872065,0.999 +168582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,0.971464758,0.999 +168585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.105549559,0.999 +168587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.303530003,0.999 +168586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.27939085,0.999 +168584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.752306455,0.999 +168590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.92222245,0.999 +168589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.642049835,0.999 +168591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.305192031,0.999 +168588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.9211632,0.999 +168592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.924706055,0.999 +168594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.196764468,0.999 +168593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.916453861,0.999 +168595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.221820153,0.999 +168598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.76764796,0.999 +168596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.477578956,0.999 +168599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.881391997,0.999 +168600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.86526008,0.999 +168601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.896958335,0.999 +168602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.037572953,0.999 +168597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.12942354,0.999 +168603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.993490683,0.999 +168604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,0.761751837,0.999 +168605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,10.98332449,0.999 +168608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.640156682,0.999 +168607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.602895008,0.999 +168606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.947527191,0.999 +168609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.415641218,0.999 +168610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.64030457,0.999 +168611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.531896103,0.999 +168612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.319980972,0.999 +168613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.576656627,0.999 +168615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.572628364,0.999 +168614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.864751491,0.999 +168616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.784150924,0.999 +168617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.575185034,0.999 +168618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,7.080137397,0.999 +168619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.990567345,0.999 +168621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.131961829,0.999 +168620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.926805507,0.999 +168623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.412085789,0.999 +168622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.29444163,0.999 +168624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.934741606,0.999 +168626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,7.150869562,0.999 +168625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.070009067,0.999 +168627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.470751435,0.999 +168628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.63183395,0.999 +168629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,7.275986659,0.999 +168630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.082727273,0.999 +168631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.291216705,0.999 +168632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.223949916,0.999 +168633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.823612602,0.999 +168634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.353219827,0.999 +168635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.180734953,0.999 +168636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.116219142,0.999 +168637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,8.263370995,0.999 +168639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.572509364,0.999 +168640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.691920276,0.999 +168638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.454844082,0.999 +168641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.083665792,0.999 +168642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.33509484,0.999 +168643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.116114879,0.999 +168644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.189504294,0.999 +168645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.760678023,0.999 +168647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.642895287,0.999 +168646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.371796665,0.999 +168648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.963379518,0.999 +168649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.783122697,0.999 +168650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.368984187,0.999 +168651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.768622561,0.999 +168653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.051179904,0.999 +168652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,9.09816516,0.999 +168655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.477009345,0.999 +168654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.492988508,0.999 +168656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.278993017,0.999 +168657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.020268093,0.999 +168658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.938625206,0.999 +168659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.038770587,0.999 +168660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.545379412,0.999 +168661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.111513871,0.999 +168662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.836347773,0.999 +168663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.391815777,0.999 +168664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.132914302,0.999 +168666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.624427962,0.999 +168667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,9.164124125,0.999 +168665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.189301876,0.999 +168668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.609826028,0.999 +168671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.087818327,0.999 +168669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,9.773244425,0.999 +168670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.645601093,0.999 +168672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.491643517,0.999 +168674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.902646889,0.999 +168673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.659768239,0.999 +168676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.640631996,0.999 +168675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.211059057,0.999 +168677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.323134521,0.999 +168680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.270883843,0.999 +168679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.993389634,0.999 +168678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,10.51810749,0.999 +168682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.364733995,0.999 +168681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.638539841,0.999 +168683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,0.402623576,0.999 +168684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.770335764,0.999 +168686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.89058358,0.999 +168685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.009150764,0.999 +168687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.46980629,0.999 +168690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.913472565,0.999 +168689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.885561847,0.999 +168691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.752039559,0.999 +168692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.981562776,0.999 +168693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.963528662,0.999 +168694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.670523551,0.999 +168695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.540425147,0.999 +168688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.191526048,0.999 +168696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.151531882,0.999 +168697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.528119028,0.999 +168699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.466689221,0.999 +168698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.61774654,0.999 +168701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,0.928755227,0.999 +168700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.498774596,0.999 +168702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.702943229,0.999 +168703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.311254696,0.999 +168704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.309752773,0.999 +168705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.494667303,0.999 +168707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,9.367404719,0.999 +168708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.647243121,0.999 +168709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.375418595,0.999 +168710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.467003545,0.999 +168711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.228567535,0.999 +168712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.134783146,0.999 +168706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.485312681,0.999 +168713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.999569424,0.999 +168716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.98264243,0.999 +168714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.372399337,0.999 +168715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.40178636,0.999 +168718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.799662922,0.999 +168717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.286591025,0.999 +168719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.776072063,0.999 +168720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.289106977,0.999 +168721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,0.539616601,0.999 +168722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.642594335,0.999 +168723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.977285385,0.999 +168724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.675078678,0.999 +168726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.323005356,0.999 +168728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.316689044,0.999 +168727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.460335615,0.999 +168729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.979534133,0.999 +168725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.677412137,0.999 +168731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.186850019,0.999 +168730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.773928144,0.999 +168733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.111660732,0.999 +168732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.516382044,0.999 +168734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.560036315,0.999 +168735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.39564801,0.999 +168736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.536332919,0.999 +168737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.967649045,0.999 +168738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.654514125,0.999 +168739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.073069789,0.999 +168740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.223311748,0.999 +168742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.227897071,0.999 +168741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.516050283,0.999 +168743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,7.173027321,0.999 +168746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.468017152,0.999 +168745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.430118752,0.999 +168747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.967880801,0.999 +168744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.453377318,0.999 +168749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.916253093,0.999 +168748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.388016813,0.999 +168750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.540047235,0.999 +168751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.799436092,0.999 +168753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.537781115,0.999 +168752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.853841482,0.999 +168754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.703778302,0.999 +168755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.055260322,0.999 +168756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.072495855,0.999 +168757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.131536618,0.999 +168758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.514686502,0.999 +168760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.810230107,0.999 +168761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.097803842,0.999 +168762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.855759284,0.999 +168759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.389388857,0.999 +168763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.083286588,0.999 +168764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.259164566,0.999 +168766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,-0.068793447,0.999 +168768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.887897896,0.999 +168767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.388307432,0.999 +168769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.640512999,0.999 +168770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.251783663,0.999 +168765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.935338984,0.999 +168771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.250203045,0.999 +168772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.098206232,0.999 +168773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.300316209,0.999 +168775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.120661724,0.999 +168774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.464878132,0.999 +168776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.031261334,0.999 +168777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.347042461,0.999 +168779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.007871429,0.999 +168778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.568179961,0.999 +168780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.854684906,0.999 +168781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.71333627,0.999 +168782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.801726174,0.999 +168783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.019060681,0.999 +168784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.233888219,0.999 +168785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.441703215,0.999 +168787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.083927195,0.999 +168789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.20898382,0.999 +168788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.211383316,0.999 +168786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.918378763,0.999 +168790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.837237344,0.999 +168791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.209530072,0.999 +168793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.850094565,0.999 +168794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.884329645,0.999 +168792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.874980309,0.999 +168796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.459731787,0.999 +168795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.528031686,0.999 +168798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.30598623,0.999 +168799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,11.02427934,0.999 +168800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.445896268,0.999 +168797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.024195364,0.999 +168801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.851144012,0.999 +168803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.817586321,0.999 +168804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.286103316,0.999 +168802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.61948863,0.999 +168807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.282583305,0.999 +168805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.294541545,0.999 +168808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.158422578,0.999 +168806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.747705547,0.999 +168809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.72925218,0.999 +168811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.522247716,0.999 +168810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.246504755,0.999 +168812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,7.374712558,0.999 +168814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.397767835,0.999 +168816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.849251415,0.999 +168815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,0.342166195,0.999 +168813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,8.495888357,0.999 +168818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.65284475,0.999 +168819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.794522877,0.999 +168820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.957783993,0.999 +168817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.679950584,0.999 +168821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.47534238,0.999 +168823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.490571826,0.999 +168824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,10.4255203,0.999 +168822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.714458795,0.999 +168825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.277464216,0.999 +168826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.128831336,0.999 +168827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.124348758,0.999 +168828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.77685468,0.999 +168829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.888527172,0.999 +168831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.489592654,0.999 +168832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.95215143,0.999 +168833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.747750367,0.999 +168830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.607001731,0.999 +168835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.264051259,0.999 +168836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.744851216,0.999 +168837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.030396317,0.999 +168834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.827649932,0.999 +168840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.89266078,0.999 +168839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.720019792,0.999 +168838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.52555921,0.999 +168841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.767937315,0.999 +168842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.955985937,0.999 +168843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.372967496,0.999 +168845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.098158676,0.999 +168844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.359689937,0.999 +168846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.777573378,0.999 +168847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.796507073,0.999 +168848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.366211505,0.999 +168849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.51373505,0.999 +168851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.298984268,0.999 +168852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.642131558,0.999 +168850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,8.672413439,0.999 +168853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.055185032,0.999 +168854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.182528181,0.999 +168855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.348756613,0.999 +168856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.924504603,0.999 +168858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.785337738,0.999 +168857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.855226727,0.999 +168860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.692307952,0.999 +168859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.083643744,0.999 +168861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.431561581,0.999 +168862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.056570201,0.999 +168863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.840478697,0.999 +168864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.700960834,0.999 +168865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.172002139,0.999 +168866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.694396882,0.999 +168868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.023787138,0.999 +168867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.122879246,0.999 +168869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.847774503,0.999 +168871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,0.882657831,0.999 +168872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,0.822806967,0.999 +168873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.451065612,0.999 +168874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.085781078,0.999 +168875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.094659433,0.999 +168870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.73746359,0.999 +168876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.750820578,0.999 +168877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.873585055,0.999 +168878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.225574775,0.999 +168880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.580339641,0.999 +168879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.408945911,0.999 +168882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.654743839,0.999 +168881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.973498636,0.999 +168883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.187335124,0.999 +168884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.763205949,0.999 +168885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.581508821,0.999 +168886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.401032803,0.999 +168887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.753321301,0.999 +168889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.479145712,0.999 +168890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.34046143,0.999 +168891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,9.918548954,0.999 +168892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,0.456843459,0.999 +168893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.346970212,0.999 +168894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.67259253,0.999 +168888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.517096513,0.999 +168895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.671640503,0.999 +168897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.958618491,0.999 +168898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.22373053,0.999 +168896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.990137082,0.999 +168899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.434214229,0.999 +168900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.247098538,0.999 +168901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.243420813,0.999 +168902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.682390884,0.999 +168903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.976752318,0.999 +168904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.363068066,0.999 +168906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,10.80977768,0.999 +168905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,7.104647356,0.999 +168907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,9.679178003,0.999 +168908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.729397994,0.999 +168909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.454539964,0.999 +168911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.943791062,0.999 +168910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.639485791,0.999 +168913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.452506287,0.999 +168912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,7.590197905,0.999 +168914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.408245313,0.999 +168915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.817289515,0.999 +168917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.287566,0.999 +168916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,9.725100778,0.999 +168918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.901118059,0.999 +168919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.98955177,0.999 +168921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.924265321,0.999 +168920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.203790072,0.999 +168922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.60288882,0.999 +168923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.294219587,0.999 +168924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.591724203,0.999 +168926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.995110928,0.999 +168925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.921494977,0.999 +168927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.136776092,0.999 +168928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,0.949156393,0.999 +168929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.577753137,0.999 +168930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.161837595,0.999 +168931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.74913343,0.999 +168932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.026990094,0.999 +168933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.388561809,0.999 +168934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.792027474,0.999 +168935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.544859852,0.999 +168936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.436908704,0.999 +168937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.304535578,0.999 +168938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,0.413752179,0.999 +168939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.240841679,0.999 +168940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.925014536,0.999 +168941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.185979513,0.999 +168942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.009815574,0.999 +168943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.011168863,0.999 +168945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,0.718437606,0.999 +168944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.056256078,0.999 +168946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,9.524131772,0.999 +168947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.215766645,0.999 +168949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.85945428,0.999 +168948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.352439169,0.999 +168950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.700970294,0.999 +168953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.493933012,0.999 +168952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.969009274,0.999 +168954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.3859126,0.999 +168951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.152918406,0.999 +168957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.103472848,0.999 +168956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.704901712,0.999 +168955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.181237291,0.999 +168958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.327596764,0.999 +168961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.430090913,0.999 +168959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,8.930226501,0.999 +168960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.302707598,0.999 +168962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.540467242,0.999 +168964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.712800375,0.999 +168965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,0.574927844,0.999 +168963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.707483018,0.999 +168967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.892675165,0.999 +168969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,5.353842913,0.999 +168966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.913082395,0.999 +168968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.80090822,0.999 +168970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,8.583229211,0.999 +168971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,0.715010763,0.999 +168972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.727391564,0.999 +168973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.238811496,0.999 +168974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.52899286,0.999 +168975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.701951636,0.999 +168976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.299927556,0.999 +168977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.15338957,0.999 +168978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.453137965,0.999 +168980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,0.944904958,0.999 +168982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.948101323,0.999 +168981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.421172793,0.999 +168979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.55778746,0.999 +168984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.787673587,0.999 +168983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.247425706,0.999 +168985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.001559923,0.999 +168986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.722870249,0.999 +168988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.057559126,0.999 +168987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.212063372,0.999 +168990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.965580271,0.999 +168989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.585807033,0.999 +168991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,3.907948898,0.999 +168992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,7.739820662,0.999 +168993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,4.144250932,0.999 +168995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.313524728,0.999 +168994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.797027657,0.999 +168996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.355012826,0.999 +168998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.167427828,0.999 +168999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,2.09548689,0.999 +169000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,1.033339458,0.999 +168997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,9,1,6.255620274,0.999 +178001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.072385306,0.984 +178002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.439979986,0.984 +178004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.980553499,0.984 +178006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.657656395,0.984 +178003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.513304527,0.984 +178007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.714091784,0.984 +178005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.483246015,0.984 +178008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.833871483,0.984 +178009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,-0.465939954,0.984 +178010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.731183392,0.984 +178012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.548652782,0.984 +178011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.291512374,0.984 +178013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.107116646,0.984 +178014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.881523235,0.984 +178016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.381367751,0.984 +178017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,10.41027821,0.984 +178015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.902302732,0.984 +178019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.278951537,0.984 +178020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.705208021,0.984 +178018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.525294656,0.984 +178021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,7.001472433,0.984 +178023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.883900896,0.984 +178024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.78659067,0.984 +178025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.028726152,0.984 +178026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.168601163,0.984 +178027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.846168413,0.984 +178022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.968935689,0.984 +178028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.713244743,0.984 +178029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.418392478,0.984 +178030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.023257397,0.984 +178032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.869122305,0.984 +178031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.479831734,0.984 +178033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.198631209,0.984 +178034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.786278081,0.984 +178035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.681611485,0.984 +178037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,-0.769874012,0.984 +178036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.447271913,0.984 +178038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.99645417,0.984 +178039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.048126546,0.984 +178040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,8.382534162,0.984 +178042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,-0.038049963,0.984 +178041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.446978972,0.984 +178043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.984027501,0.984 +178044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.551114675,0.984 +178045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.987328712,0.984 +178047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,9.196086663,0.984 +178048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.288088543,0.984 +178050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.397251255,0.984 +178049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.4620367,0.984 +178046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.458872983,0.984 +178054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.885396242,0.984 +178051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,12.50042676,0.984 +178052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.914366786,0.984 +178053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.213812887,0.984 +178055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.301161335,0.984 +178057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.449456022,0.984 +178056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.727591636,0.984 +178058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.170036783,0.984 +178059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.535561093,0.984 +178061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.728611227,0.984 +178060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.007734534,0.984 +178062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.791649539,0.984 +178063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.717279346,0.984 +178064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.998751498,0.984 +178065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.426040719,0.984 +178067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.999703114,0.984 +178066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.969269448,0.984 +178068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.063881138,0.984 +178069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,10.19609744,0.984 +178070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.236066503,0.984 +178071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.740421891,0.984 +178072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.584172028,0.984 +178073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.453979108,0.984 +178074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.967285798,0.984 +178076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.871145886,0.984 +178075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.866135068,0.984 +178077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.823024507,0.984 +178079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.091842227,0.984 +178078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,11.20818888,0.984 +178080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.270013242,0.984 +178081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.075407546,0.984 +178082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,12.08678306,0.984 +178083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.887333151,0.984 +178084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,9.778294455,0.984 +178086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.060359165,0.984 +178085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.360723062,0.984 +178087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.110438961,0.984 +178088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.176337677,0.984 +178089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.866896068,0.984 +178090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.85142434,0.984 +178091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.877381322,0.984 +178093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.709795694,0.984 +178092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.655925098,0.984 +178094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.593012239,0.984 +178095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.825820678,0.984 +178096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.714956781,0.984 +178097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.905615207,0.984 +178098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.57363012,0.984 +178100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,7.893800394,0.984 +178099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.559366531,0.984 +178101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.155131405,0.984 +178102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.378086995,0.984 +178103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.398551689,0.984 +178105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.711160126,0.984 +178106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.211912626,0.984 +178104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.287210857,0.984 +178107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.882283105,0.984 +178109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.064599144,0.984 +178110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.586301162,0.984 +178108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.431704833,0.984 +178111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.86422545,0.984 +178114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.312770301,0.984 +178112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.226359295,0.984 +178115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.199150092,0.984 +178116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.670503741,0.984 +178117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,9.198795306,0.984 +178118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.218760036,0.984 +178113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.840144088,0.984 +178120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.326003142,0.984 +178119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.845782765,0.984 +178121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.084869943,0.984 +178122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.951141156,0.984 +178123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.309025304,0.984 +178124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.483076228,0.984 +178125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.361666623,0.984 +178126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.520426235,0.984 +178129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.481843233,0.984 +178130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.753053125,0.984 +178128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.577453925,0.984 +178127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.995093395,0.984 +178131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.94284645,0.984 +178133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.531906842,0.984 +178132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.272641625,0.984 +178135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.931543466,0.984 +178134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.317131217,0.984 +178136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.265455966,0.984 +178137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.518855182,0.984 +178139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.476725868,0.984 +178141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.713667576,0.984 +178140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.852552852,0.984 +178138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.203125391,0.984 +178142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.200490885,0.984 +178143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.598646188,0.984 +178145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.931206006,0.984 +178144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.343252824,0.984 +178148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.410551431,0.984 +178149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.523616548,0.984 +178146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.878574048,0.984 +178150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.067195823,0.984 +178147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.490056845,0.984 +178151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.261197287,0.984 +178152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.510957686,0.984 +178154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,-0.032023453,0.984 +178156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.482548312,0.984 +178153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.840815144,0.984 +178155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,8.997982017,0.984 +178157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.961149656,0.984 +178158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.680354532,0.984 +178159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.848671736,0.984 +178160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.941595952,0.984 +178161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.987490774,0.984 +178163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,14.29449363,0.984 +178164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.606769129,0.984 +178166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.669064702,0.984 +178162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,8.592908645,0.984 +178167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,7.433294962,0.984 +178165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.418544026,0.984 +178169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.523732104,0.984 +178168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.362649741,0.984 +178171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.220193921,0.984 +178170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.074912449,0.984 +178172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.592999026,0.984 +178173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.37584817,0.984 +178174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.897907929,0.984 +178176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,-0.144228224,0.984 +178177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.785514093,0.984 +178175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,-0.643516235,0.984 +178178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.499415762,0.984 +178180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.214536938,0.984 +178181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.70643759,0.984 +178182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.311648659,0.984 +178179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.877970295,0.984 +178184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.1336421,0.984 +178183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.644589536,0.984 +178186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.947024722,0.984 +178185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.654901078,0.984 +178187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.576253901,0.984 +178188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.124471533,0.984 +178189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.018448969,0.984 +178190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.35047839,0.984 +178193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.455084755,0.984 +178192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.212529366,0.984 +178191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.404016311,0.984 +178194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.510879992,0.984 +178196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.348310895,0.984 +178197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.280047811,0.984 +178198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.000261087,0.984 +178195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.972339927,0.984 +178199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.617590508,0.984 +178200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.919255758,0.984 +178202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.000372053,0.984 +178201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.764456183,0.984 +178203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.756790997,0.984 +178205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,-1.029445987,0.984 +178206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.661868329,0.984 +178204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.227402277,0.984 +178207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.257844134,0.984 +178208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.977582436,0.984 +178209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,10.52259558,0.984 +178210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.715952042,0.984 +178211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.531988786,0.984 +178213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,8.049193651,0.984 +178214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.378628683,0.984 +178212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.483627388,0.984 +178215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.778953394,0.984 +178218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.892065174,0.984 +178216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.206186592,0.984 +178219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.571791509,0.984 +178220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.592101131,0.984 +178221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.205379855,0.984 +178217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,7.46425195,0.984 +178222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.747376593,0.984 +178223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.282998945,0.984 +178224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.461133065,0.984 +178226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.951450276,0.984 +178225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.559057778,0.984 +178228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.167018589,0.984 +178227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.70096878,0.984 +178230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.473948687,0.984 +178229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.359574418,0.984 +178231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.121870832,0.984 +178232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.147573892,0.984 +178233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.537730964,0.984 +178234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.224335903,0.984 +178236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.912026927,0.984 +178235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.73252323,0.984 +178238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.502571054,0.984 +178239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,8.439189089,0.984 +178240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.62563863,0.984 +178241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.054250697,0.984 +178243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.828159687,0.984 +178242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.955232768,0.984 +178237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.045998902,0.984 +178244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.060848715,0.984 +178247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.366014444,0.984 +178245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,8.770450979,0.984 +178246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.4430982,0.984 +178248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.616626014,0.984 +178250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.992084435,0.984 +178249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.922225917,0.984 +178251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.913891213,0.984 +178252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.384771786,0.984 +178253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,7.041180046,0.984 +178254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.688330012,0.984 +178255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.403555231,0.984 +178256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.178575491,0.984 +178257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.054772324,0.984 +178259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.617940564,0.984 +178260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.814252977,0.984 +178258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.111707567,0.984 +178262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.693220445,0.984 +178261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.7625039,0.984 +178265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.766372954,0.984 +178264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.922941038,0.984 +178263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.37203806,0.984 +178266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.80387965,0.984 +178267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,9.250628069,0.984 +178268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,8.085808541,0.984 +178269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.525145037,0.984 +178270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.829335216,0.984 +178273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.850205137,0.984 +178271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.377280235,0.984 +178274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.174276745,0.984 +178275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.659550427,0.984 +178272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.560986896,0.984 +178276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.609346678,0.984 +178277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.595829298,0.984 +178279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.593900049,0.984 +178278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.577499634,0.984 +178280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.287830477,0.984 +178281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.320750907,0.984 +178282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.446554835,0.984 +178283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,10.64744737,0.984 +178284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,7.069231682,0.984 +178285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,9.830076193,0.984 +178287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.232679051,0.984 +178288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.239755657,0.984 +178286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.714447432,0.984 +178289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.134083313,0.984 +178290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.234481678,0.984 +178292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.155221555,0.984 +178293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.317396846,0.984 +178291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.972085351,0.984 +178294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.856064637,0.984 +178296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.466740394,0.984 +178295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.350882395,0.984 +178297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,11.89761962,0.984 +178298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,7.862852192,0.984 +178299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.586806994,0.984 +178302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.033418509,0.984 +178301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,8.783517838,0.984 +178300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.405169386,0.984 +178303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.963788201,0.984 +178305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.209223243,0.984 +178304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,7.281661516,0.984 +178306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.350651797,0.984 +178307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.059867177,0.984 +178308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.809044836,0.984 +178309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.857628523,0.984 +178310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,-0.147580311,0.984 +178311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.412775668,0.984 +178312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.617756856,0.984 +178313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.071807934,0.984 +178315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.508906009,0.984 +178316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.832165947,0.984 +178314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.098139741,0.984 +178317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.916085508,0.984 +178318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,7.491212738,0.984 +178319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.466220428,0.984 +178320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.659753608,0.984 +178321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.058787348,0.984 +178322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.405957666,0.984 +178324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.577566281,0.984 +178325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.4144426,0.984 +178326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.428552658,0.984 +178323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.480818528,0.984 +178328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,7.003530677,0.984 +178330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.616779344,0.984 +178329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.160808124,0.984 +178331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.768011747,0.984 +178327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.140324327,0.984 +178332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.375258879,0.984 +178333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,11.99424863,0.984 +178336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.970281091,0.984 +178337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.100493094,0.984 +178335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.86829147,0.984 +178334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.192232354,0.984 +178339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.858666858,0.984 +178340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.87773987,0.984 +178338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.64115409,0.984 +178341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.697699386,0.984 +178342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.357368033,0.984 +178345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.812071183,0.984 +178344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,10.51935734,0.984 +178346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.515393147,0.984 +178348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.40308706,0.984 +178347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.477363165,0.984 +178343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.392689628,0.984 +178351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,7.812193373,0.984 +178350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.188855549,0.984 +178349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.364880905,0.984 +178352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.888497097,0.984 +178354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.73393786,0.984 +178355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.222749711,0.984 +178356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.203727115,0.984 +178353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,8.469461453,0.984 +178357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,8.047353536,0.984 +178358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.148423922,0.984 +178360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.566161379,0.984 +178361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.299597429,0.984 +178362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.711024548,0.984 +178363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.80581022,0.984 +178364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.232964385,0.984 +178359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.591929446,0.984 +178366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.705943468,0.984 +178368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.339282367,0.984 +178365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.302598251,0.984 +178367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.295808201,0.984 +178369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,12.32737794,0.984 +178370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.256926875,0.984 +178371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.258715303,0.984 +178372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.299337754,0.984 +178375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.718093782,0.984 +178374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.08610969,0.984 +178376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.915546926,0.984 +178373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,7.028128228,0.984 +178377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.224224054,0.984 +178379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.551533524,0.984 +178380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.984022917,0.984 +178381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,13.23751729,0.984 +178383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.884024602,0.984 +178378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.761527513,0.984 +178382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.682447159,0.984 +178385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.66564683,0.984 +178386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.335600331,0.984 +178384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.460318679,0.984 +178387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.621038785,0.984 +178390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.235127828,0.984 +178389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.69028774,0.984 +178391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.455795752,0.984 +178388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.077101487,0.984 +178392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,7.516588527,0.984 +178394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.237788105,0.984 +178395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.388989995,0.984 +178396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.593337971,0.984 +178393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.806945364,0.984 +178397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.649081455,0.984 +178398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.530908837,0.984 +178400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.377846807,0.984 +178399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.046622449,0.984 +178401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.617497601,0.984 +178402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.444691647,0.984 +178403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.106747496,0.984 +178404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.097855041,0.984 +178406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.651849236,0.984 +178405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.273442484,0.984 +178408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,8.548923235,0.984 +178410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.629867778,0.984 +178407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.010355378,0.984 +178411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.481208669,0.984 +178409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.057069714,0.984 +178413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.993293335,0.984 +178412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.288707157,0.984 +178415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.319313317,0.984 +178414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.422707916,0.984 +178417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.683296101,0.984 +178416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.157945713,0.984 +178419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.167662375,0.984 +178418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.658193325,0.984 +178420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,13.92695168,0.984 +178423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,-2.150660716,0.984 +178422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.392999293,0.984 +178421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.11141597,0.984 +178424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.649146687,0.984 +178426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.660904859,0.984 +178427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.763438151,0.984 +178425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.439890405,0.984 +178428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.591978519,0.984 +178429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.278551347,0.984 +178430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.054050968,0.984 +178431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.753611153,0.984 +178432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.583306026,0.984 +178433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.007580378,0.984 +178434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.299878307,0.984 +178435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.35785553,0.984 +178437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.327000422,0.984 +178436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.192493342,0.984 +178439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.77520458,0.984 +178438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,12.21591293,0.984 +178440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.492660067,0.984 +178441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.918331958,0.984 +178443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,7.257623893,0.984 +178442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.484300602,0.984 +178445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,9.625090456,0.984 +178444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.800757841,0.984 +178446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.828509477,0.984 +178447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.4671393,0.984 +178449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.334319432,0.984 +178448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.365787898,0.984 +178451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.725151906,0.984 +178452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,9.430940688,0.984 +178450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,7.715969849,0.984 +178453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.588138323,0.984 +178454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.668728375,0.984 +178455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.52480334,0.984 +178456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.50936559,0.984 +178457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.025173044,0.984 +178460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.550030272,0.984 +178459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.866385714,0.984 +178461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.037825568,0.984 +178458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.706218585,0.984 +178463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.301120797,0.984 +178464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.791220352,0.984 +178462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.633729758,0.984 +178465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.623855467,0.984 +178466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.47402636,0.984 +178467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.259451699,0.984 +178468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.164184773,0.984 +178469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,8.14621808,0.984 +178471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.018395497,0.984 +178470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.77411216,0.984 +178472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.729341321,0.984 +178473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.814446426,0.984 +178475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.232904903,0.984 +178474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.992987953,0.984 +178477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.765843953,0.984 +178478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.214536449,0.984 +178479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.083629632,0.984 +178480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.564260351,0.984 +178476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.099435852,0.984 +178481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.02244523,0.984 +178482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.458928811,0.984 +178483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.110293896,0.984 +178485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.141211007,0.984 +178486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.724620265,0.984 +178487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.072448956,0.984 +178484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.116420256,0.984 +178488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.745356069,0.984 +178490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.967635485,0.984 +178489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.147392644,0.984 +178491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.970150128,0.984 +178492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,8.914070543,0.984 +178494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.236818348,0.984 +178493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,7.710787387,0.984 +178495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.643002117,0.984 +178496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.282013728,0.984 +178497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.709828156,0.984 +178498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.480996048,0.984 +178501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.565892139,0.984 +178500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.077342418,0.984 +178502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.84155664,0.984 +178499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.427525346,0.984 +178504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.733323491,0.984 +178503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.385853841,0.984 +178505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.047901358,0.984 +178506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.634756336,0.984 +178507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.875354297,0.984 +178508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.797183818,0.984 +178509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.216985017,0.984 +178510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.169290429,0.984 +178511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.677559744,0.984 +178512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.633500827,0.984 +178513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.49319712,0.984 +178514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.82061349,0.984 +178515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.693667125,0.984 +178517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.088876852,0.984 +178516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.472517474,0.984 +178520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.466663738,0.984 +178521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.3488803,0.984 +178519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.5842466,0.984 +178518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.755379781,0.984 +178522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.511320848,0.984 +178524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.460438208,0.984 +178523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.928833915,0.984 +178525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.204553546,0.984 +178527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.15815308,0.984 +178526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.127884232,0.984 +178528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.686614153,0.984 +178530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.646685025,0.984 +178532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.061096743,0.984 +178531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.170149166,0.984 +178529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.338600505,0.984 +178533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.996139309,0.984 +178534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.745047101,0.984 +178535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,8.10859934,0.984 +178536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.493931538,0.984 +178538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.561161596,0.984 +178537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.414958756,0.984 +178540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.638829024,0.984 +178541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.31784382,0.984 +178542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.882509707,0.984 +178539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,9.510667948,0.984 +178544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,-0.729994474,0.984 +178545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.674709794,0.984 +178543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.746568603,0.984 +178547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.79497333,0.984 +178548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.99743482,0.984 +178546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.16340712,0.984 +178549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.01519925,0.984 +178552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.773640604,0.984 +178550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.633467836,0.984 +178551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.615506441,0.984 +178553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,11.74042367,0.984 +178554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.842111944,0.984 +178555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.465081731,0.984 +178556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.274660034,0.984 +178557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.569688017,0.984 +178559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,-0.029124379,0.984 +178560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,7.844414549,0.984 +178561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.292750204,0.984 +178562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.029071607,0.984 +178563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.149734798,0.984 +178558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.665423469,0.984 +178564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.955564766,0.984 +178565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.059830197,0.984 +178567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.529576988,0.984 +178566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.725842538,0.984 +178568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.888820552,0.984 +178569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.949273456,0.984 +178570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.882956896,0.984 +178571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.834019012,0.984 +178573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.504129116,0.984 +178574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,9.220729226,0.984 +178572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.234633503,0.984 +178575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.736548341,0.984 +178576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,9.303074696,0.984 +178578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.406290858,0.984 +178579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.831989649,0.984 +178577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.09214103,0.984 +178580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.695851044,0.984 +178582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.891976541,0.984 +178581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.92034758,0.984 +178583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.627908666,0.984 +178584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,9.953033876,0.984 +178586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.848712285,0.984 +178587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.167178887,0.984 +178588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.691648279,0.984 +178589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.799117469,0.984 +178590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.047912507,0.984 +178585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.449908238,0.984 +178591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.493725033,0.984 +178592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.19189198,0.984 +178595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.964223512,0.984 +178594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.866714678,0.984 +178596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.875620884,0.984 +178593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.069078468,0.984 +178597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.927844937,0.984 +178598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.631209009,0.984 +178599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.50246254,0.984 +178600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.862951996,0.984 +178601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,-0.056474746,0.984 +178603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.981787176,0.984 +178604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.281742331,0.984 +178605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.095913069,0.984 +178606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.563955427,0.984 +178607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.646166195,0.984 +178608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.512669892,0.984 +178602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.343260223,0.984 +178609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.948485301,0.984 +178610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.274970846,0.984 +178611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.394318748,0.984 +178614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.606026229,0.984 +178612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.898993303,0.984 +178613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.137410128,0.984 +178615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.430833839,0.984 +178617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.046238323,0.984 +178618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.576266018,0.984 +178616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.588405759,0.984 +178619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.157744001,0.984 +178620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.471112396,0.984 +178621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,7.545983805,0.984 +178622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.91941612,0.984 +178623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.924662156,0.984 +178625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.514986919,0.984 +178624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.557023526,0.984 +178626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.822702772,0.984 +178627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.164068029,0.984 +178629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.912356885,0.984 +178628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.462765702,0.984 +178630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.337281787,0.984 +178631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.056206313,0.984 +178632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.529276823,0.984 +178633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.632661511,0.984 +178634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.286440411,0.984 +178635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.901301123,0.984 +178636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.147244181,0.984 +178637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.05668937,0.984 +178638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.958369191,0.984 +178639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.385899693,0.984 +178641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.225730395,0.984 +178640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,7.786464346,0.984 +178643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.427169458,0.984 +178644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.597004269,0.984 +178642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.700760196,0.984 +178645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.000909771,0.984 +178646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.033072019,0.984 +178647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.153617609,0.984 +178648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.807808581,0.984 +178649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.261527605,0.984 +178651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.047745026,0.984 +178653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.424781319,0.984 +178652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.174453496,0.984 +178650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.72470963,0.984 +178654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.355713105,0.984 +178655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.50243555,0.984 +178656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.407427029,0.984 +178657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.39398181,0.984 +178659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.378522192,0.984 +178661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.821603917,0.984 +178658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.86516709,0.984 +178660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,9.767460088,0.984 +178662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.393808156,0.984 +178664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,7.654490183,0.984 +178665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,10.34564678,0.984 +178666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.872377164,0.984 +178667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.449489507,0.984 +178663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.185311144,0.984 +178668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.113413301,0.984 +178669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.316479625,0.984 +178670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,9.739219708,0.984 +178671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.370042611,0.984 +178672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.683141113,0.984 +178673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.397570353,0.984 +178675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.528892841,0.984 +178674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.867427135,0.984 +178677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.249641952,0.984 +178676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.498711523,0.984 +178678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.051035895,0.984 +178679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.544429815,0.984 +178680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.691968706,0.984 +178683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.220558837,0.984 +178681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.20881951,0.984 +178684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,9.385488657,0.984 +178682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.021475601,0.984 +178686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.242943694,0.984 +178685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.313515117,0.984 +178689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.58314873,0.984 +178688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.693586478,0.984 +178687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.99355701,0.984 +178690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.858652492,0.984 +178692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.734928981,0.984 +178691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.064914527,0.984 +178694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.936233417,0.984 +178693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.855837027,0.984 +178695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.391160008,0.984 +178696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.983804676,0.984 +178698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.352518321,0.984 +178697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.603484517,0.984 +178702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.025721677,0.984 +178700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.990127911,0.984 +178701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.482754204,0.984 +178699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.49473689,0.984 +178703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.997234061,0.984 +178706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.908740609,0.984 +178705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.809705362,0.984 +178704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.445435238,0.984 +178707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.412156184,0.984 +178708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.866038843,0.984 +178709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.611549219,0.984 +178710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.63483968,0.984 +178711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,8.909605726,0.984 +178712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.33446242,0.984 +178713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.307704837,0.984 +178715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.635455088,0.984 +178714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.808686683,0.984 +178717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.280321535,0.984 +178716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.185060706,0.984 +178718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.973183726,0.984 +178719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,7.591193328,0.984 +178720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.493036971,0.984 +178721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.312302497,0.984 +178722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.369329371,0.984 +178724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.088726571,0.984 +178725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,11.8808948,0.984 +178726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.899723238,0.984 +178727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.350762442,0.984 +178728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,10.18497935,0.984 +178723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.892842989,0.984 +178729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.16739295,0.984 +178730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,7.457461516,0.984 +178731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.887600153,0.984 +178732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.140816278,0.984 +178733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.34342937,0.984 +178734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.899840414,0.984 +178737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.083002828,0.984 +178735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.821133092,0.984 +178736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.001425793,0.984 +178738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.430924887,0.984 +178739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.175493528,0.984 +178741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.261815676,0.984 +178740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.712620049,0.984 +178742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.359170783,0.984 +178743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.692898345,0.984 +178745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.642523228,0.984 +178746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.918747853,0.984 +178747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.899728243,0.984 +178748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.011394076,0.984 +178749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.518658123,0.984 +178744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,10.00458636,0.984 +178752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.259786843,0.984 +178750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.167642346,0.984 +178751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.756177622,0.984 +178753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,7.219230722,0.984 +178754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,8.756729932,0.984 +178755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.059739357,0.984 +178756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.832192228,0.984 +178757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.009849228,0.984 +178759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.73050004,0.984 +178758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.96119589,0.984 +178760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.982957432,0.984 +178761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.061939216,0.984 +178762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,-1.216226881,0.984 +178764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.258450559,0.984 +178763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.102017681,0.984 +178768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.138637052,0.984 +178765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.732496034,0.984 +178767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,7.675086418,0.984 +178766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.086561176,0.984 +178769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.983502947,0.984 +178770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.200798104,0.984 +178771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,7.097702846,0.984 +178772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.463724914,0.984 +178773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.901244294,0.984 +178775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.145533847,0.984 +178774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.514160331,0.984 +178776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.646718004,0.984 +178778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.04280188,0.984 +178780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.667097552,0.984 +178779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.833664163,0.984 +178777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.11016233,0.984 +178781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.273991573,0.984 +178782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.83677827,0.984 +178783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.804651729,0.984 +178784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,8.126968995,0.984 +178785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.831776073,0.984 +178786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.509700713,0.984 +178788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.879520093,0.984 +178787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.07615626,0.984 +178789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.16279775,0.984 +178790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.089140301,0.984 +178791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.183217694,0.984 +178792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.987270414,0.984 +178793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,-0.658937541,0.984 +178794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.448859511,0.984 +178795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.872355281,0.984 +178797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.540894988,0.984 +178796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.26556194,0.984 +178798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.710991735,0.984 +178799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.010149258,0.984 +178800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.528189229,0.984 +178801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.123637946,0.984 +178802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.738250287,0.984 +178803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,7.564706487,0.984 +178804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,8.929330716,0.984 +178806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.53880431,0.984 +178807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.842974477,0.984 +178805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.512112412,0.984 +178808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,8.071870616,0.984 +178809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.940922956,0.984 +178810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.463601914,0.984 +178811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.997050715,0.984 +178812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.737601926,0.984 +178813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.997000083,0.984 +178814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.176048698,0.984 +178816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.768693114,0.984 +178817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.412515146,0.984 +178818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.501741675,0.984 +178819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.672630137,0.984 +178820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.931383292,0.984 +178821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.942554796,0.984 +178822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.718878241,0.984 +178815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,7.616620823,0.984 +178823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.922485413,0.984 +178825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.008665864,0.984 +178824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,7.802241761,0.984 +178827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.30003148,0.984 +178826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.543418466,0.984 +178829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.65234137,0.984 +178828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.738747115,0.984 +178830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.730489693,0.984 +178831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,10.21812694,0.984 +178832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.209822058,0.984 +178834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.475750601,0.984 +178833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.659457288,0.984 +178836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.372039694,0.984 +178837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,7.310039841,0.984 +178838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,7.67802652,0.984 +178839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.726426146,0.984 +178841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.922721343,0.984 +178835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.480610904,0.984 +178840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.407375705,0.984 +178844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.315214298,0.984 +178842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.040285977,0.984 +178843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.108563816,0.984 +178845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.880551924,0.984 +178846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.864563514,0.984 +178847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.660856577,0.984 +178848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.86002222,0.984 +178849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.806294633,0.984 +178850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.165967042,0.984 +178851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.435826317,0.984 +178852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,-0.282973818,0.984 +178853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.068126556,0.984 +178855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.263566624,0.984 +178856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,8.338428227,0.984 +178857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,8.608485477,0.984 +178854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.029695955,0.984 +178858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.754492374,0.984 +178859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.165084761,0.984 +178860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.111951656,0.984 +178861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,10.16717974,0.984 +178862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,-0.349283887,0.984 +178863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.421661772,0.984 +178864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.244765006,0.984 +178865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,7.165309594,0.984 +178866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.547603014,0.984 +178867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.396885431,0.984 +178868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.81551604,0.984 +178870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.078382724,0.984 +178871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.625201434,0.984 +178869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,10.78038494,0.984 +178872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.500147473,0.984 +178874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.597782463,0.984 +178873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.397378635,0.984 +178875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.795264062,0.984 +178876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.572056022,0.984 +178878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,9.854075941,0.984 +178877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,10.28842478,0.984 +178879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.846263225,0.984 +178881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.767114933,0.984 +178880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.579628022,0.984 +178882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.384757659,0.984 +178883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.527351553,0.984 +178884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.676347345,0.984 +178885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.54564978,0.984 +178886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,8.380731234,0.984 +178890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.780629291,0.984 +178889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.456622958,0.984 +178887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.888833027,0.984 +178888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.123977646,0.984 +178892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.850443979,0.984 +178891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.67757655,0.984 +178894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.197316724,0.984 +178893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.903150831,0.984 +178895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.270132677,0.984 +178896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.295513195,0.984 +178897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.78977354,0.984 +178899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.339984336,0.984 +178898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.32560426,0.984 +178900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,7.05090534,0.984 +178901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.815660715,0.984 +178902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.179734185,0.984 +178904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,7.390642097,0.984 +178905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.704151517,0.984 +178906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.030241695,0.984 +178907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.561573467,0.984 +178908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.036209814,0.984 +178903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.15791292,0.984 +178909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.348574442,0.984 +178910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.425601488,0.984 +178911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,7.578941743,0.984 +178914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.021523428,0.984 +178915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,10.1853328,0.984 +178912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.493124522,0.984 +178916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.412821803,0.984 +178913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.388050146,0.984 +178917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.855970364,0.984 +178918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.145113811,0.984 +178920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.211547529,0.984 +178919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.575332658,0.984 +178921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.34064123,0.984 +178922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.378383517,0.984 +178924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.722344452,0.984 +178925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.92088077,0.984 +178923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.23519417,0.984 +178927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.713360556,0.984 +178928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,7.070156653,0.984 +178929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.333225169,0.984 +178930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.137353599,0.984 +178926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,7.509158332,0.984 +178932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.080961772,0.984 +178931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.566050647,0.984 +178934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,8.630944411,0.984 +178933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.337827817,0.984 +178935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.268915601,0.984 +178936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.191484467,0.984 +178938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.140387428,0.984 +178937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.089375574,0.984 +178940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,8.265321868,0.984 +178941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.488038253,0.984 +178943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.076060303,0.984 +178942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.215092401,0.984 +178939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.646813309,0.984 +178944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.612184199,0.984 +178945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.886158318,0.984 +178947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.93615799,0.984 +178948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.556883776,0.984 +178949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.978174165,0.984 +178946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.487678147,0.984 +178950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,9.275641196,0.984 +178952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.522482989,0.984 +178951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.571641424,0.984 +178953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.716454072,0.984 +178954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.071255846,0.984 +178955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.223535576,0.984 +178956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.261729696,0.984 +178957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.995193423,0.984 +178959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.943658244,0.984 +178960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.606178804,0.984 +178958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.948853752,0.984 +178963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.078855851,0.984 +178962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.05019425,0.984 +178964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.645106668,0.984 +178961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.608265608,0.984 +178965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.017056621,0.984 +178966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.895065384,0.984 +178967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.571830531,0.984 +178968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.888989195,0.984 +178969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.946936481,0.984 +178970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.274894068,0.984 +178971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.733693344,0.984 +178973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.696115712,0.984 +178972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.36070422,0.984 +178974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.810415757,0.984 +178976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.616419934,0.984 +178977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,8.2904395,0.984 +178975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.933917848,0.984 +178978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.228898017,0.984 +178979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.917105272,0.984 +178982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,10.50290046,0.984 +178980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.631683496,0.984 +178981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.199040331,0.984 +178983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.815356344,0.984 +178984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.176531006,0.984 +178985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,5.078319807,0.984 +178986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.960955623,0.984 +178987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.915768165,0.984 +178988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.386969949,0.984 +178990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,0.950229642,0.984 +178989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.407727241,0.984 +178991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.940932706,0.984 +178994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.426116159,0.984 +178992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,2.185649657,0.984 +178993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,7.014539626,0.984 +178995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,1.286523328,0.984 +178997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,6.021448869,0.984 +178998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.768316088,0.984 +178999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,4.983378425,0.984 +178996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,12.69157472,0.984 +179000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,9,1,3.138672736,0.984 +188002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.203305087,0.962 +188001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.340554404,0.962 +188003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.30571094,0.962 +188006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.898688261,0.962 +188004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.419424305,0.962 +188007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.32980435,0.962 +188005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.101163149,0.962 +188009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.378321342,0.962 +188008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.82108632,0.962 +188010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.605260484,0.962 +188011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,9.947552963,0.962 +188012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.131429526,0.962 +188014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.272725711,0.962 +188015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.14818438,0.962 +188016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.194715977,0.962 +188013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.695894711,0.962 +188018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.077790903,0.962 +188017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,-0.800280517,0.962 +188020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.578364484,0.962 +188019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.260071683,0.962 +188022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.308546465,0.962 +188021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.268479381,0.962 +188023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.94050881,0.962 +188024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,-0.650928327,0.962 +188026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.611601729,0.962 +188025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.200232968,0.962 +188027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.47896842,0.962 +188028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.364255229,0.962 +188029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.515328767,0.962 +188030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.104479506,0.962 +188032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.362327611,0.962 +188033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.575296611,0.962 +188034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.156663799,0.962 +188035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.923599769,0.962 +188031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.217948801,0.962 +188038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.919662866,0.962 +188037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.366240354,0.962 +188039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.127653639,0.962 +188036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.852576741,0.962 +188040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.694268076,0.962 +188041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.517622547,0.962 +188043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.92325008,0.962 +188042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.136175698,0.962 +188044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.59874806,0.962 +188045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.703971878,0.962 +188046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.795373394,0.962 +188047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.723736212,0.962 +188049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.028911107,0.962 +188048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.85449557,0.962 +188050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.980721767,0.962 +188052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.449014457,0.962 +188053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,9.927530888,0.962 +188051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.264926194,0.962 +188055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.178967071,0.962 +188054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.533056482,0.962 +188056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,10.61490924,0.962 +188058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,9.14622632,0.962 +188059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.406082464,0.962 +188057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.991195396,0.962 +188060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,-0.928960856,0.962 +188062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.008865519,0.962 +188061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.754732723,0.962 +188063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.566501152,0.962 +188064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.33626823,0.962 +188065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.569693133,0.962 +188066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.72511004,0.962 +188067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.774855395,0.962 +188068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.506152642,0.962 +188070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.300564993,0.962 +188069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.957237706,0.962 +188071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,-1.503371698,0.962 +188072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.988424605,0.962 +188073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.43923232,0.962 +188074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.710249649,0.962 +188077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.036018707,0.962 +188076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.901628025,0.962 +188075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.906917367,0.962 +188078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.904420068,0.962 +188080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.491832673,0.962 +188082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.706227667,0.962 +188081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.042594662,0.962 +188079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.485149288,0.962 +188083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.461447853,0.962 +188084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.004838293,0.962 +188085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.72077283,0.962 +188086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,9.123207947,0.962 +188087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.097908875,0.962 +188088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.610300346,0.962 +188089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.185371034,0.962 +188090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.802933859,0.962 +188091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.898676893,0.962 +188092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,-0.826280159,0.962 +188093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.492335895,0.962 +188094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.592413858,0.962 +188096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.819827915,0.962 +188095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.725869862,0.962 +188097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.896332018,0.962 +188100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,-0.115579859,0.962 +188098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.805213644,0.962 +188099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,-0.398248869,0.962 +188103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.226062614,0.962 +188102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.98621234,0.962 +188104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.948945067,0.962 +188101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.882930993,0.962 +188105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.498159924,0.962 +188106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.004755264,0.962 +188107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.870702595,0.962 +188108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.255939967,0.962 +188109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.387727407,0.962 +188110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,12.79744342,0.962 +188111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.092643831,0.962 +188112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.112502218,0.962 +188113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.498617904,0.962 +188114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,11.58847906,0.962 +188115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.810732369,0.962 +188118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.36468894,0.962 +188117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.81080468,0.962 +188119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.543053505,0.962 +188120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.337626529,0.962 +188121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.044712794,0.962 +188116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.683627818,0.962 +188122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,-0.057729842,0.962 +188123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.402131965,0.962 +188124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.165812738,0.962 +188126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.186570326,0.962 +188125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.954920679,0.962 +188127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.666018608,0.962 +188128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.460540907,0.962 +188129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.71627383,0.962 +188130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.805895155,0.962 +188131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.961401196,0.962 +188132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.055873247,0.962 +188134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.824229691,0.962 +188133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.330495447,0.962 +188135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.262644354,0.962 +188136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,10.21031389,0.962 +188138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,9.123324634,0.962 +188139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.497195484,0.962 +188140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.084853659,0.962 +188141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.567149314,0.962 +188142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.774918705,0.962 +188137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,-0.411709903,0.962 +188144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.376082967,0.962 +188145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.707432301,0.962 +188143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.669705144,0.962 +188146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,-0.697609546,0.962 +188147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,10.54761034,0.962 +188148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.886513841,0.962 +188149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.126861017,0.962 +188150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.137071401,0.962 +188151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.544759158,0.962 +188152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.847209352,0.962 +188153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.948643966,0.962 +188154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,9.156642974,0.962 +188155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.650877734,0.962 +188156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.05855919,0.962 +188157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.335916215,0.962 +188159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.024994266,0.962 +188160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.062408797,0.962 +188161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.227078989,0.962 +188158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.746982701,0.962 +188162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.798676792,0.962 +188163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.741530121,0.962 +188164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.800961492,0.962 +188165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.334020765,0.962 +188166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.968179921,0.962 +188167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.089898005,0.962 +188168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.271163551,0.962 +188170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.693854813,0.962 +188169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.061838849,0.962 +188171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.4319148,0.962 +188172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.818415596,0.962 +188173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.673517547,0.962 +188174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.425212847,0.962 +188175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.487161147,0.962 +188176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,10.78034251,0.962 +188177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.716765878,0.962 +188179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.022997776,0.962 +188178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.937223223,0.962 +188180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,-0.563393198,0.962 +188181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.050712915,0.962 +188182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.245907783,0.962 +188184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.598770401,0.962 +188185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.582803518,0.962 +188186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.973510051,0.962 +188183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.987960124,0.962 +188187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.782903688,0.962 +188188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.91396392,0.962 +188190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.413209466,0.962 +188189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.293172959,0.962 +188191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,-0.754610824,0.962 +188192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.501974582,0.962 +188194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.753664769,0.962 +188195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,10.06299938,0.962 +188196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.23142293,0.962 +188197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.988245226,0.962 +188198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.776115466,0.962 +188199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.126523123,0.962 +188193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.493879173,0.962 +188200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.765693508,0.962 +188201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.854289972,0.962 +188202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.660175633,0.962 +188203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.280189963,0.962 +188204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.602846127,0.962 +188205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.189805782,0.962 +188206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.479441242,0.962 +188207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.199712145,0.962 +188208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.693912527,0.962 +188209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.707363302,0.962 +188210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.409179511,0.962 +188212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.621560734,0.962 +188213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.186099958,0.962 +188214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.199631359,0.962 +188215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.711400955,0.962 +188216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.564070692,0.962 +188217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.232443579,0.962 +188211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.568543109,0.962 +188218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.263374104,0.962 +188219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.447962104,0.962 +188220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.802220427,0.962 +188221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.170588914,0.962 +188222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.968662377,0.962 +188223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.558739648,0.962 +188224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.512985209,0.962 +188225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.396434547,0.962 +188226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,9.463714952,0.962 +188227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.902776595,0.962 +188228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.723774536,0.962 +188229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.820302502,0.962 +188230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.627175458,0.962 +188231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.942669173,0.962 +188232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.914051572,0.962 +188234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.77255972,0.962 +188233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.164646589,0.962 +188235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.712051939,0.962 +188236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.810648643,0.962 +188237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.972768728,0.962 +188238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,10.5751693,0.962 +188239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.972166893,0.962 +188240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.791444382,0.962 +188241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.105433316,0.962 +188244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.398163511,0.962 +188242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.313723023,0.962 +188243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.246474049,0.962 +188245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.320165338,0.962 +188246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.201371813,0.962 +188248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,11.72045374,0.962 +188249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.003276536,0.962 +188247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.129684642,0.962 +188251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,15.44254302,0.962 +188250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.88757467,0.962 +188252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.791330285,0.962 +188253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.252579686,0.962 +188256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.42048972,0.962 +188254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.333794223,0.962 +188255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,10.57014584,0.962 +188259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.824172748,0.962 +188257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,-0.073685698,0.962 +188258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.299902769,0.962 +188260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.860685816,0.962 +188261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.201350584,0.962 +188264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.829154295,0.962 +188262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.314267513,0.962 +188263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.689555145,0.962 +188267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,15.33757681,0.962 +188266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.362052482,0.962 +188265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,10.85237842,0.962 +188268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.861771592,0.962 +188270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.657044607,0.962 +188269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.350661508,0.962 +188271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.113020944,0.962 +188272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.91826801,0.962 +188273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.739422203,0.962 +188275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.597339154,0.962 +188276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.409761491,0.962 +188274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.50796085,0.962 +188277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.345483661,0.962 +188278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.329446771,0.962 +188279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.786796092,0.962 +188280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.014850695,0.962 +188281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,-0.301469606,0.962 +188282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.787606707,0.962 +188284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.628758371,0.962 +188283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.638512559,0.962 +188285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.994809568,0.962 +188286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.261377866,0.962 +188288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.968607135,0.962 +188287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.377021345,0.962 +188289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.351045662,0.962 +188290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.382522995,0.962 +188291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.980058764,0.962 +188293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.011431354,0.962 +188292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.716025478,0.962 +188294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.329260535,0.962 +188295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,13.28815575,0.962 +188296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.61923863,0.962 +188297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.557616504,0.962 +188298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,-0.814546575,0.962 +188299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.74633957,0.962 +188300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.055603581,0.962 +188302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.023602544,0.962 +188303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.417292987,0.962 +188304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.789149128,0.962 +188305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.364556206,0.962 +188301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.08118202,0.962 +188306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.932416199,0.962 +188307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.108447488,0.962 +188308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.970018268,0.962 +188310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.680060178,0.962 +188309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.751429898,0.962 +188311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.390115116,0.962 +188312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.909455024,0.962 +188315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.445887119,0.962 +188314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.749257594,0.962 +188313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.345097028,0.962 +188317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.402329164,0.962 +188316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.050945745,0.962 +188319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.208586847,0.962 +188318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.918961168,0.962 +188320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.630276948,0.962 +188322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.580031314,0.962 +188321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,10.23252661,0.962 +188326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.05645684,0.962 +188325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.623013053,0.962 +188323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.726005873,0.962 +188324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.525991563,0.962 +188327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.559040564,0.962 +188328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.400820602,0.962 +188330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.234378732,0.962 +188329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.733167516,0.962 +188331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.8154661,0.962 +188332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,-2.193208588,0.962 +188333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.853692164,0.962 +188334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,10.43616911,0.962 +188335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.120771694,0.962 +188336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.360312847,0.962 +188337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.717685636,0.962 +188339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.177018591,0.962 +188340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.780345537,0.962 +188338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.023898626,0.962 +188341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.55741705,0.962 +188342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.136130413,0.962 +188343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.018697307,0.962 +188345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.868071729,0.962 +188344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.139517048,0.962 +188346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.25250614,0.962 +188347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.460565985,0.962 +188348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.796436047,0.962 +188349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.840700228,0.962 +188351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.74217475,0.962 +188350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.949046881,0.962 +188352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.585828558,0.962 +188353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.936076394,0.962 +188354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.009916782,0.962 +188355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.586422081,0.962 +188356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.723311791,0.962 +188358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,9.819188902,0.962 +188357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.093479685,0.962 +188360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.246716554,0.962 +188361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.330478806,0.962 +188359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.955973346,0.962 +188362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.404069291,0.962 +188363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.626287827,0.962 +188364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.804625394,0.962 +188366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.359794413,0.962 +188367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.212079351,0.962 +188365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.884538041,0.962 +188368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.707946533,0.962 +188369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.298362798,0.962 +188370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.322504066,0.962 +188371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.035662138,0.962 +188372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.777059059,0.962 +188375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,10.01841172,0.962 +188374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.463676903,0.962 +188376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.893697936,0.962 +188373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.044993452,0.962 +188377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.662514379,0.962 +188378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.709609377,0.962 +188379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.326095517,0.962 +188380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.624681684,0.962 +188382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.487496354,0.962 +188383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.438924802,0.962 +188384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.484107823,0.962 +188385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,10.38344038,0.962 +188381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.744999779,0.962 +188387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.246932416,0.962 +188389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.516290444,0.962 +188386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.954697707,0.962 +188388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.734675119,0.962 +188390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.009675476,0.962 +188391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.000651433,0.962 +188392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,9.529695675,0.962 +188393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,9.213226383,0.962 +188395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.076616176,0.962 +188394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.993924087,0.962 +188396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.885978381,0.962 +188397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.278484876,0.962 +188400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.715270994,0.962 +188399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.665031367,0.962 +188401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.929320174,0.962 +188398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.994336302,0.962 +188405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.386092545,0.962 +188403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.846044812,0.962 +188402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.666497919,0.962 +188404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,10.18826234,0.962 +188406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.969729687,0.962 +188408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.97018652,0.962 +188407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.238438078,0.962 +188409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.27502019,0.962 +188410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.587124521,0.962 +188411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.337745762,0.962 +188412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,9.27720233,0.962 +188413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.484467195,0.962 +188415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.550545867,0.962 +188417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.191259882,0.962 +188414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.380412069,0.962 +188416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.323797036,0.962 +188418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,-0.486094988,0.962 +188420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.780417675,0.962 +188419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.97005262,0.962 +188422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,13.92973127,0.962 +188423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,-1.89109945,0.962 +188424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.384531126,0.962 +188421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.005934888,0.962 +188426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.44079424,0.962 +188425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.05542096,0.962 +188427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.328883218,0.962 +188428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.52655688,0.962 +188431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.166978138,0.962 +188430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.296755249,0.962 +188429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.542784488,0.962 +188432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,-0.509124079,0.962 +188433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.105396897,0.962 +188434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.184224797,0.962 +188435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.195271375,0.962 +188437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.526982678,0.962 +188436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.85128239,0.962 +188438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.87686407,0.962 +188439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.388377766,0.962 +188440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,11.3854715,0.962 +188442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.653159089,0.962 +188443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.350551815,0.962 +188444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,10.69905199,0.962 +188445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.268832001,0.962 +188441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.234807497,0.962 +188446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.474402052,0.962 +188447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.097320652,0.962 +188449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.915006083,0.962 +188450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.500978775,0.962 +188448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.027152368,0.962 +188451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.302738328,0.962 +188452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.447924057,0.962 +188453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.655292658,0.962 +188454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.216952502,0.962 +188455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.598384168,0.962 +188457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.4444625,0.962 +188456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.32365903,0.962 +188458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.980672831,0.962 +188459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.816786313,0.962 +188460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.037643572,0.962 +188462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.00532487,0.962 +188463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.181352129,0.962 +188464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.844525056,0.962 +188461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.124803172,0.962 +188465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.68927866,0.962 +188466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.842314685,0.962 +188467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.321888958,0.962 +188468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.540375163,0.962 +188469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.383582238,0.962 +188470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.712510378,0.962 +188471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.282952704,0.962 +188472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.538356677,0.962 +188473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.459946644,0.962 +188474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.176197948,0.962 +188475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,12.16883367,0.962 +188477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.283016677,0.962 +188476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.064075524,0.962 +188479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.322851614,0.962 +188478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.478674198,0.962 +188480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.674015856,0.962 +188482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.920808804,0.962 +188481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.208652129,0.962 +188483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.535702757,0.962 +188484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.017021643,0.962 +188485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.722306455,0.962 +188487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.105993602,0.962 +188486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.532698633,0.962 +188488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,9.647126277,0.962 +188489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.024400665,0.962 +188490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.264642544,0.962 +188492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.75749476,0.962 +188491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,-0.328466951,0.962 +188494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,9.478315073,0.962 +188495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.306977965,0.962 +188496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,12.55461268,0.962 +188493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.827271479,0.962 +188497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.812361023,0.962 +188498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,9.613062792,0.962 +188500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.631185085,0.962 +188501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.874096923,0.962 +188499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,12.28549861,0.962 +188503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,-0.998985558,0.962 +188502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.422700471,0.962 +188504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.184097381,0.962 +188505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.209114424,0.962 +188507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.758920228,0.962 +188506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.844341733,0.962 +188509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.390070356,0.962 +188508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.121508831,0.962 +188510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.123662254,0.962 +188511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.771498015,0.962 +188513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.328971203,0.962 +188512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.876729414,0.962 +188514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.427517416,0.962 +188515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.744318148,0.962 +188516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.084703694,0.962 +188517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.701219624,0.962 +188518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.386733075,0.962 +188519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.406784866,0.962 +188520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.448964376,0.962 +188521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.729987861,0.962 +188522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.399937221,0.962 +188523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.974585243,0.962 +188524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.904785763,0.962 +188525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,10.05459469,0.962 +188526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.185729441,0.962 +188527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,11.480742,0.962 +188531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.434736078,0.962 +188528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.710816174,0.962 +188529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.320563081,0.962 +188530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.07217005,0.962 +188533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.824857046,0.962 +188534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.341787196,0.962 +188532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.971163559,0.962 +188535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.408610382,0.962 +188536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.706686141,0.962 +188538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,10.58821131,0.962 +188537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.103293933,0.962 +188539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.654238717,0.962 +188540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.797976938,0.962 +188541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.804317986,0.962 +188542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.322366052,0.962 +188544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.979625643,0.962 +188545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.079429009,0.962 +188546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.72413485,0.962 +188547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.211807314,0.962 +188548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.797098397,0.962 +188549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.719169615,0.962 +188543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.801479739,0.962 +188550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.752642084,0.962 +188551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.85417506,0.962 +188552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.115904529,0.962 +188556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.157127429,0.962 +188555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.156860896,0.962 +188553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,-0.192366776,0.962 +188554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.051373377,0.962 +188557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.337099485,0.962 +188558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,12.12936031,0.962 +188560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.219990879,0.962 +188559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.963447053,0.962 +188561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.533861061,0.962 +188562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.989974175,0.962 +188563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,-0.885858457,0.962 +188565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.89146046,0.962 +188566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.754021048,0.962 +188567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.64685318,0.962 +188568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.756886887,0.962 +188564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.788279574,0.962 +188569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.726436943,0.962 +188571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.6069975,0.962 +188570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.672370015,0.962 +188572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.358464592,0.962 +188573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.685944819,0.962 +188574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.055844104,0.962 +188575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.277273748,0.962 +188576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.165138171,0.962 +188577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.568680414,0.962 +188578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.958276478,0.962 +188579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.717238462,0.962 +188581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.608851423,0.962 +188583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.565245886,0.962 +188580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.228752526,0.962 +188582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,9.446942304,0.962 +188584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.7828408,0.962 +188586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.087247736,0.962 +188585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.748799526,0.962 +188587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.761040313,0.962 +188588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.506551998,0.962 +188590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.193178154,0.962 +188589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.450657969,0.962 +188591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.174392825,0.962 +188592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,-0.64225016,0.962 +188593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.361010254,0.962 +188595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.575215348,0.962 +188594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.618938492,0.962 +188596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.696407801,0.962 +188597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,-0.557848639,0.962 +188598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,-0.15040861,0.962 +188600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.073165085,0.962 +188599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.483149994,0.962 +188601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,-0.219133984,0.962 +188602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.240123386,0.962 +188603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.755360862,0.962 +188604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.836317803,0.962 +188605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.324113715,0.962 +188606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.440174153,0.962 +188607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.203702401,0.962 +188609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.275324482,0.962 +188610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.697652801,0.962 +188608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.568263136,0.962 +188611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.229338946,0.962 +188612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.991314442,0.962 +188614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.438919555,0.962 +188615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.123510936,0.962 +188613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.491359518,0.962 +188616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.127577097,0.962 +188618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.725215886,0.962 +188617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,10.48101003,0.962 +188619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.127811402,0.962 +188620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.248913282,0.962 +188621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.562688043,0.962 +188623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.902615929,0.962 +188624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.272440791,0.962 +188622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.655775286,0.962 +188625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.866660524,0.962 +188626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.888061225,0.962 +188627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.539503023,0.962 +188628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.791939648,0.962 +188629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.351791995,0.962 +188630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.219217739,0.962 +188631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.987465446,0.962 +188633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.829232566,0.962 +188634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.855933507,0.962 +188635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.746449787,0.962 +188636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.18629142,0.962 +188637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.188140118,0.962 +188632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.452228408,0.962 +188638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.716918873,0.962 +188639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.261356017,0.962 +188640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.858149669,0.962 +188641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.596094197,0.962 +188642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.092439633,0.962 +188643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.276212924,0.962 +188645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.250104368,0.962 +188644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.809035745,0.962 +188647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.75070653,0.962 +188646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.92034087,0.962 +188648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.022553467,0.962 +188649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.688390101,0.962 +188651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.300286768,0.962 +188650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.281011663,0.962 +188653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.158264505,0.962 +188654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.230990107,0.962 +188655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,-0.173251843,0.962 +188656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.24901533,0.962 +188657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.800023002,0.962 +188658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,10.50510952,0.962 +188652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.667899603,0.962 +188659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.740541805,0.962 +188661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.056431952,0.962 +188662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,9.267343241,0.962 +188660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.74540587,0.962 +188664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.858596009,0.962 +188663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.799812573,0.962 +188666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.614717072,0.962 +188665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.319791954,0.962 +188667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.966438541,0.962 +188669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.499672575,0.962 +188668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.353497493,0.962 +188670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.282441121,0.962 +188671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.199683013,0.962 +188672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.166147341,0.962 +188673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.31644408,0.962 +188675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,-1.88969671,0.962 +188674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.489238008,0.962 +188677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.066444444,0.962 +188676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.033682939,0.962 +188678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.103057906,0.962 +188679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.23235426,0.962 +188680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.098461894,0.962 +188681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.820101721,0.962 +188682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.40727981,0.962 +188684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.776361989,0.962 +188683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.871011672,0.962 +188685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.687448749,0.962 +188686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.317031199,0.962 +188687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.890686899,0.962 +188689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.669528424,0.962 +188688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.582587286,0.962 +188690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.587797052,0.962 +188691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.224298028,0.962 +188692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,-0.690487948,0.962 +188693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.728319644,0.962 +188694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.768693047,0.962 +188695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.991774436,0.962 +188696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.487787201,0.962 +188698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.898304913,0.962 +188699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.450015467,0.962 +188697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.875772911,0.962 +188700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.268230799,0.962 +188701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.976384107,0.962 +188702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.400912994,0.962 +188704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.621203694,0.962 +188703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.997985572,0.962 +188705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,9.398396678,0.962 +188707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.465111308,0.962 +188706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.928247407,0.962 +188709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.130500463,0.962 +188708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.689461216,0.962 +188710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.906554803,0.962 +188711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.004378069,0.962 +188712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.547604104,0.962 +188714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.946295713,0.962 +188713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.991598054,0.962 +188715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.259910453,0.962 +188716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.369885714,0.962 +188717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.795250155,0.962 +188718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,-1.253058607,0.962 +188719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.705795659,0.962 +188720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.457121374,0.962 +188721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.345798706,0.962 +188723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.958835074,0.962 +188722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.553396513,0.962 +188724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.755586648,0.962 +188725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,-0.293985072,0.962 +188726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.22455169,0.962 +188728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.337806441,0.962 +188729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.366255337,0.962 +188730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.225536278,0.962 +188731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.696915425,0.962 +188727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.60743571,0.962 +188732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.112403964,0.962 +188733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.748344549,0.962 +188734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.170499556,0.962 +188735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.347414917,0.962 +188736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,-0.659871285,0.962 +188738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.768178831,0.962 +188737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.214584241,0.962 +188739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.545864494,0.962 +188740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.582890376,0.962 +188741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.9442562,0.962 +188742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.172058556,0.962 +188744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.618729956,0.962 +188746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.03768273,0.962 +188745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.479927665,0.962 +188743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.840363637,0.962 +188747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.908965798,0.962 +188748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.899533011,0.962 +188749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.202791095,0.962 +188750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.133913455,0.962 +188753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.457344722,0.962 +188751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.807863553,0.962 +188752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.480231327,0.962 +188754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.186588741,0.962 +188757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.499460074,0.962 +188755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.154559322,0.962 +188756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.806120967,0.962 +188758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.975628741,0.962 +188759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.615520118,0.962 +188760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.616409136,0.962 +188761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,-0.229648047,0.962 +188763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.087384375,0.962 +188764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.277673261,0.962 +188765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.022843831,0.962 +188762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.803954418,0.962 +188767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.249571607,0.962 +188766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.582152022,0.962 +188768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.487192737,0.962 +188769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.629092497,0.962 +188771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.122301312,0.962 +188770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.221121611,0.962 +188772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.790740062,0.962 +188774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.45019518,0.962 +188773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.933478472,0.962 +188775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.017618017,0.962 +188776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.89531475,0.962 +188777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.038366889,0.962 +188779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.34020266,0.962 +188778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.901946798,0.962 +188780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.963767253,0.962 +188782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.336339653,0.962 +188781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.527813713,0.962 +188784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.035223985,0.962 +188783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.329119686,0.962 +188785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.944853708,0.962 +188786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.374226748,0.962 +188787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.295315082,0.962 +188788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.885808315,0.962 +188789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.39865556,0.962 +188790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.391155238,0.962 +188791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.233157601,0.962 +188793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.262055551,0.962 +188794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.661848913,0.962 +188792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.060564621,0.962 +188795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.701863302,0.962 +188796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.361752064,0.962 +188797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.20199134,0.962 +188798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.882572204,0.962 +188799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,-1.183354095,0.962 +188800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.024865634,0.962 +188801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,9.653164067,0.962 +188803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.260075031,0.962 +188804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,13.01409219,0.962 +188805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.550690905,0.962 +188806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.047797505,0.962 +188802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.969230716,0.962 +188807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.235867621,0.962 +188808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.898957262,0.962 +188809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.393152954,0.962 +188811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.436384283,0.962 +188810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.776095887,0.962 +188812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.287179849,0.962 +188815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.480521418,0.962 +188813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.364839527,0.962 +188814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.737662414,0.962 +188818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.555284076,0.962 +188816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.70569527,0.962 +188819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.832979571,0.962 +188817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.451843933,0.962 +188821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.870251736,0.962 +188820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.469045278,0.962 +188822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.211794172,0.962 +188824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.173796835,0.962 +188825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.564027976,0.962 +188826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.287257754,0.962 +188823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.27644577,0.962 +188827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.412635138,0.962 +188828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.238379639,0.962 +188829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.017623308,0.962 +188830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.875907337,0.962 +188831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.223065151,0.962 +188832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.821540223,0.962 +188833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.52151633,0.962 +188834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.877021271,0.962 +188835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.067076476,0.962 +188837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,-0.177348227,0.962 +188836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.574298271,0.962 +188839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.28608234,0.962 +188841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.542013224,0.962 +188840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.973548388,0.962 +188838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.138503577,0.962 +188842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.511932325,0.962 +188843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.612407819,0.962 +188844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.563028986,0.962 +188845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.219327117,0.962 +188846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.149267061,0.962 +188847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.082668729,0.962 +188848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.516626957,0.962 +188850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.818753889,0.962 +188849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.210206379,0.962 +188851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.176502248,0.962 +188852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.213361767,0.962 +188853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.784918009,0.962 +188854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,16.71670023,0.962 +188855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.256909111,0.962 +188856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.194537459,0.962 +188857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.982029506,0.962 +188858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.684376681,0.962 +188859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.09126986,0.962 +188860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,9.546956252,0.962 +188861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.894091934,0.962 +188863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.328720822,0.962 +188862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,10.61807077,0.962 +188864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.073069408,0.962 +188865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.57996128,0.962 +188866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.397778529,0.962 +188868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.435846102,0.962 +188867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.703587239,0.962 +188869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.846425162,0.962 +188870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.27905827,0.962 +188871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.663966921,0.962 +188872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.412743268,0.962 +188873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.003756084,0.962 +188874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.452288506,0.962 +188875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.923722581,0.962 +188876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.455328228,0.962 +188877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.304365153,0.962 +188878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.479394572,0.962 +188881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.20815742,0.962 +188879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.49450878,0.962 +188880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.29433248,0.962 +188882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.713703378,0.962 +188884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.374088253,0.962 +188883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.179172986,0.962 +188886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,11.29455685,0.962 +188885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.70605219,0.962 +188887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.561018818,0.962 +188889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.86968445,0.962 +188888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.470754997,0.962 +188891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.972206586,0.962 +188892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.128500646,0.962 +188893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.384022204,0.962 +188890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.230107289,0.962 +188894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.287241807,0.962 +188895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,9.475332068,0.962 +188896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.362257861,0.962 +188898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.861608475,0.962 +188897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.976772504,0.962 +188899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.998512997,0.962 +188900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.98944501,0.962 +188901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.516050476,0.962 +188902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.577414348,0.962 +188904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.533074847,0.962 +188906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,10.05793378,0.962 +188903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.688524698,0.962 +188905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.243178408,0.962 +188907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.48314673,0.962 +188909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.39636176,0.962 +188910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.13216416,0.962 +188911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.085443764,0.962 +188912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.466964926,0.962 +188913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.50508518,0.962 +188908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.185254697,0.962 +188914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,9.284842597,0.962 +188915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.751736044,0.962 +188918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.28001461,0.962 +188917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.150245044,0.962 +188916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.283776657,0.962 +188919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.314054917,0.962 +188921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,15.49570631,0.962 +188922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.823851738,0.962 +188920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.362487188,0.962 +188923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.491163941,0.962 +188924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.941832408,0.962 +188926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,9.045205781,0.962 +188925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.528173149,0.962 +188927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.15653758,0.962 +188929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.623709166,0.962 +188930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.869347532,0.962 +188931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.356118916,0.962 +188932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.224040475,0.962 +188933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.568846581,0.962 +188934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.51254039,0.962 +188928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.985951902,0.962 +188937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.053385574,0.962 +188936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.69170101,0.962 +188935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.811406355,0.962 +188938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.104254168,0.962 +188939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,-0.646574073,0.962 +188940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.862198567,0.962 +188941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.756067901,0.962 +188943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.598082105,0.962 +188944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.01513143,0.962 +188945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.644354222,0.962 +188942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.659052726,0.962 +188947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.213987189,0.962 +188948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,11.32204659,0.962 +188949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.884283089,0.962 +188946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.552906053,0.962 +188950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.196422932,0.962 +188951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.374129965,0.962 +188953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.323433738,0.962 +188952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,8.522718743,0.962 +188954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.358903959,0.962 +188955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.411307896,0.962 +188956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.0564999,0.962 +188957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.865103609,0.962 +188958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.180857867,0.962 +188959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.630316165,0.962 +188960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.114992156,0.962 +188961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.967271776,0.962 +188962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.612987766,0.962 +188963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.115096312,0.962 +188964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.835163652,0.962 +188967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.625238887,0.962 +188965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.181504272,0.962 +188966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.3171633,0.962 +188968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.672742375,0.962 +188969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.074287981,0.962 +188971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,3.845144471,0.962 +188970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.813825016,0.962 +188972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.942853915,0.962 +188973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.869757452,0.962 +188974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.62201165,0.962 +188975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.72128577,0.962 +188976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.009053791,0.962 +188977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,9.730538945,0.962 +188978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.859831859,0.962 +188979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,10.15674462,0.962 +188980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.579456209,0.962 +188981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.084290913,0.962 +188982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.973232631,0.962 +188984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.891125109,0.962 +188985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.653386371,0.962 +188986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,4.025440552,0.962 +188987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.634394573,0.962 +188983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.263223839,0.962 +188988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.867062196,0.962 +188989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,15.91081227,0.962 +188990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.855726076,0.962 +188992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.08719184,0.962 +188993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,6.205798172,0.962 +188994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.480948531,0.962 +188991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.739221178,0.962 +188995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,5.439993967,0.962 +188996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,2.566280762,0.962 +188999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,1.592035951,0.962 +188998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,-0.758841829,0.962 +188997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,0.651710505,0.962 +189000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,9,1,7.240037244,0.962 +198001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.055619352,0.919 +198002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.250705045,0.919 +198003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,11.75536778,0.919 +198004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.760877363,0.919 +198005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.3223204,0.919 +198006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.560473577,0.919 +198008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.767354468,0.919 +198007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.677681852,0.919 +198009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,9.624993196,0.919 +198012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.071842847,0.919 +198010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.776483855,0.919 +198011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.211901715,0.919 +198013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.596943551,0.919 +198014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.335600842,0.919 +198015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.455913686,0.919 +198016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.988407353,0.919 +198017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.570060652,0.919 +198018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.509707318,0.919 +198019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,9.888621568,0.919 +198020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.337837923,0.919 +198021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.260973979,0.919 +198023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.920412793,0.919 +198024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.695985039,0.919 +198022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.904719668,0.919 +198026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.132512912,0.919 +198027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.626109234,0.919 +198025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,13.84956738,0.919 +198028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.400284196,0.919 +198029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.962310977,0.919 +198031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.833738198,0.919 +198030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.937551107,0.919 +198032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.606196555,0.919 +198033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.951889,0.919 +198034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.950551276,0.919 +198035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,11.4512245,0.919 +198036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-1.647769773,0.919 +198037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.869891783,0.919 +198038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.190945012,0.919 +198039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.150070869,0.919 +198041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.160403834,0.919 +198042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.630709563,0.919 +198040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,12.01947513,0.919 +198044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.957386833,0.919 +198045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.239855056,0.919 +198046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.516553632,0.919 +198047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,11.98929468,0.919 +198043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.047328828,0.919 +198048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.707571958,0.919 +198049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.578163728,0.919 +198050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,10.41476053,0.919 +198052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.512541143,0.919 +198053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,9.913332505,0.919 +198051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.741633256,0.919 +198055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.444965893,0.919 +198054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.573307502,0.919 +198056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.882848,0.919 +198057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.544064198,0.919 +198058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.368984312,0.919 +198059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.047161918,0.919 +198060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,9.501938748,0.919 +198061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.248768787,0.919 +198062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.048753633,0.919 +198063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.918021385,0.919 +198064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.941463835,0.919 +198066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.454951028,0.919 +198067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.037759225,0.919 +198068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.047592113,0.919 +198065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.638587476,0.919 +198069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.266117768,0.919 +198071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.250397032,0.919 +198070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.622054698,0.919 +198073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.367328881,0.919 +198072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.16056695,0.919 +198075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,14.22795041,0.919 +198076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.60051319,0.919 +198074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.063289413,0.919 +198077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.575415911,0.919 +198078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.449314829,0.919 +198080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.993442677,0.919 +198079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.38118865,0.919 +198081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.601535756,0.919 +198082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.321483355,0.919 +198083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.81332304,0.919 +198085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.762748194,0.919 +198086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,10.20040587,0.919 +198087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.09897401,0.919 +198089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.363766937,0.919 +198088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.269039116,0.919 +198084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.936687654,0.919 +198091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.850848748,0.919 +198092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.395943111,0.919 +198090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.762381442,0.919 +198093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,11.04028037,0.919 +198094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.04599611,0.919 +198095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.820986265,0.919 +198096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.580691105,0.919 +198097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.372139787,0.919 +198098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.550952633,0.919 +198099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.956495701,0.919 +198100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.236141245,0.919 +198103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.69085089,0.919 +198102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.878423989,0.919 +198101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.286166068,0.919 +198104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.240686414,0.919 +198105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.47257022,0.919 +198107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.811553918,0.919 +198109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.666250831,0.919 +198106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.105974227,0.919 +198108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.99806923,0.919 +198110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.478589196,0.919 +198111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.001728338,0.919 +198112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.462043073,0.919 +198113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.400408577,0.919 +198114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.584423547,0.919 +198116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.810949274,0.919 +198115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,9.529707101,0.919 +198117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.925688485,0.919 +198120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.144319094,0.919 +198119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.37723771,0.919 +198121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-2.916334605,0.919 +198118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.969143047,0.919 +198123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.138081631,0.919 +198124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.299431487,0.919 +198122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.957474586,0.919 +198125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.968248172,0.919 +198126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.265352881,0.919 +198128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.028832126,0.919 +198127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.80723974,0.919 +198129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.761656234,0.919 +198130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,9.214668559,0.919 +198132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,14.74795492,0.919 +198131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.807442969,0.919 +198133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.868963371,0.919 +198136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.531639563,0.919 +198135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.66638725,0.919 +198134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.283569532,0.919 +198139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.553125883,0.919 +198138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.934642906,0.919 +198140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.91834463,0.919 +198137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.153392215,0.919 +198142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.485296883,0.919 +198141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.349672309,0.919 +198143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.930406199,0.919 +198144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.820364042,0.919 +198145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.864727759,0.919 +198146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.199319468,0.919 +198147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.062596476,0.919 +198148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,9.017406366,0.919 +198149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.818220005,0.919 +198151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.633210143,0.919 +198150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.155676409,0.919 +198152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.733861861,0.919 +198153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.993408478,0.919 +198154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.273539925,0.919 +198155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.954612667,0.919 +198158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.120546648,0.919 +198159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.764491147,0.919 +198157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.258700891,0.919 +198160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.541005353,0.919 +198162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.772901947,0.919 +198161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.22116258,0.919 +198156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.139736093,0.919 +198164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,9.570706717,0.919 +198165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.351414042,0.919 +198163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.629248408,0.919 +198166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.743453214,0.919 +198167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.830507059,0.919 +198168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.150983081,0.919 +198169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.989300588,0.919 +198170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.591449441,0.919 +198171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.20279291,0.919 +198172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.254254946,0.919 +198173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,9.240740566,0.919 +198175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.792776696,0.919 +198176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.970326124,0.919 +198177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.648864408,0.919 +198174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.182680501,0.919 +198180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.828586938,0.919 +198179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.846004546,0.919 +198178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.282189927,0.919 +198183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-1.305981962,0.919 +198181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,9.794843679,0.919 +198182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.468950212,0.919 +198184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,9.777358671,0.919 +198185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,14.00069654,0.919 +198187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.610495723,0.919 +198186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.730443608,0.919 +198188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.805224366,0.919 +198189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.880983634,0.919 +198190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.019034935,0.919 +198191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.274657114,0.919 +198192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.56006043,0.919 +198194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.075881304,0.919 +198193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-1.322923936,0.919 +198196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.915258124,0.919 +198195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-1.096131265,0.919 +198197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.188512273,0.919 +198198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.658594307,0.919 +198199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-2.16863086,0.919 +198201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.34520838,0.919 +198200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.637042503,0.919 +198202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,14.56890101,0.919 +198203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,13.75747478,0.919 +198204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.260510614,0.919 +198206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.371743348,0.919 +198205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.269878141,0.919 +198207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.323941905,0.919 +198208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.830846521,0.919 +198209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,12.97618914,0.919 +198212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.319156259,0.919 +198210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.619199596,0.919 +198213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.533388926,0.919 +198211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.139161043,0.919 +198214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.105632692,0.919 +198215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,11.69161385,0.919 +198216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.41921257,0.919 +198218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.968014788,0.919 +198217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.441650811,0.919 +198219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,12.78551853,0.919 +198220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.983682493,0.919 +198221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.267305271,0.919 +198223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.599015627,0.919 +198222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.60183606,0.919 +198224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.857288334,0.919 +198225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.490364561,0.919 +198227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.259127788,0.919 +198226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.809553183,0.919 +198229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.791621508,0.919 +198228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.66515883,0.919 +198231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.879150652,0.919 +198232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.794700912,0.919 +198233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.99982029,0.919 +198234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.603847116,0.919 +198235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.899893283,0.919 +198236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.408284902,0.919 +198230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.855961937,0.919 +198237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.867277391,0.919 +198239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.054950544,0.919 +198240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.922684047,0.919 +198238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.230398359,0.919 +198243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.76261561,0.919 +198242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.075742872,0.919 +198241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.670129532,0.919 +198244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.479490787,0.919 +198246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.577854018,0.919 +198245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.941843453,0.919 +198247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.108643647,0.919 +198248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.382257395,0.919 +198249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.519141768,0.919 +198250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.874186849,0.919 +198252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.682253885,0.919 +198251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,12.88736922,0.919 +198253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.831343348,0.919 +198256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.605683651,0.919 +198254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.94373205,0.919 +198255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.464736851,0.919 +198257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.382599396,0.919 +198258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.629144771,0.919 +198259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.958407496,0.919 +198260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,10.69870546,0.919 +198261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.06949299,0.919 +198263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,12.09827519,0.919 +198262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-5.247340579,0.919 +198264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.008918929,0.919 +198265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.682529001,0.919 +198268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.842026914,0.919 +198269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.594417548,0.919 +198266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-1.863857887,0.919 +198267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.458270284,0.919 +198270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,10.62462457,0.919 +198271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.057077843,0.919 +198272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.152916501,0.919 +198274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.370643609,0.919 +198275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.215978222,0.919 +198276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.50045148,0.919 +198273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.428158109,0.919 +198277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.023954909,0.919 +198278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-1.118110833,0.919 +198279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.199753952,0.919 +198281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.445742846,0.919 +198282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.575301515,0.919 +198280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.82234556,0.919 +198283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,11.21887627,0.919 +198284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.470435338,0.919 +198286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.406587222,0.919 +198288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.457752238,0.919 +198287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.395697082,0.919 +198285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,16.68218251,0.919 +198289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.900735172,0.919 +198291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.853545872,0.919 +198292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.592851381,0.919 +198290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.438084576,0.919 +198294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.030530126,0.919 +198296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.467993583,0.919 +198295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.151316569,0.919 +198298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.463492326,0.919 +198297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.799629846,0.919 +198299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.270321383,0.919 +198293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.546887174,0.919 +198300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,9.274860284,0.919 +198301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.118826221,0.919 +198302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.10001673,0.919 +198303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.701653283,0.919 +198304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.230143236,0.919 +198305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.237111371,0.919 +198306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.234056862,0.919 +198307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.490630359,0.919 +198308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.631481552,0.919 +198309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.997379698,0.919 +198310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.069105726,0.919 +198312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,12.40410801,0.919 +198313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.180215094,0.919 +198314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.008586794,0.919 +198311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.863599609,0.919 +198315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.520960537,0.919 +198316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,9.30931161,0.919 +198317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.242981365,0.919 +198319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.472725496,0.919 +198318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.787188373,0.919 +198320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.85011833,0.919 +198321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.84495881,0.919 +198322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.698489181,0.919 +198323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.362245511,0.919 +198324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.573460872,0.919 +198325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.20527822,0.919 +198326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.137846595,0.919 +198329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.692404542,0.919 +198327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.582647173,0.919 +198328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.848172751,0.919 +198330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.776680809,0.919 +198331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-2.40554742,0.919 +198332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.572541337,0.919 +198333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.474081282,0.919 +198334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.364713404,0.919 +198336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.723005305,0.919 +198335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,13.36440373,0.919 +198337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.318660638,0.919 +198338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.732008596,0.919 +198340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.00038982,0.919 +198341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.410922412,0.919 +198339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.194904452,0.919 +198342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.03522023,0.919 +198344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.029628329,0.919 +198343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-1.540125666,0.919 +198345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,10.00472505,0.919 +198347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.379215945,0.919 +198348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.725542798,0.919 +198346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.088579054,0.919 +198349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.567090507,0.919 +198351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.370549635,0.919 +198352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.690674052,0.919 +198353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.583315898,0.919 +198355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,10.04974462,0.919 +198354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.822026675,0.919 +198357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.567970591,0.919 +198358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.469449259,0.919 +198356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.202269374,0.919 +198350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.236567469,0.919 +198359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,14.22937462,0.919 +198361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.64828176,0.919 +198360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.405366399,0.919 +198362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-1.058516668,0.919 +198366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.7144126,0.919 +198365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,11.81271796,0.919 +198364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.050350748,0.919 +198363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.757934128,0.919 +198367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.541698472,0.919 +198368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,9.47868154,0.919 +198369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.919355628,0.919 +198370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.466659226,0.919 +198372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.860219247,0.919 +198373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.567539472,0.919 +198374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.8154292,0.919 +198375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.654846868,0.919 +198371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.44588439,0.919 +198377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.753746081,0.919 +198376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.659347529,0.919 +198379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.567191146,0.919 +198378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.327922184,0.919 +198380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.810955712,0.919 +198381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,11.96331372,0.919 +198382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.54208053,0.919 +198383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.434348558,0.919 +198384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.515948842,0.919 +198385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.718649194,0.919 +198386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.06243043,0.919 +198387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.473822258,0.919 +198388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-1.196438399,0.919 +198389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.552558233,0.919 +198391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.801130357,0.919 +198392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-1.127550072,0.919 +198390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,12.79462095,0.919 +198393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,11.28629547,0.919 +198395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.641406306,0.919 +198396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.94561141,0.919 +198394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.636745605,0.919 +198397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.835668725,0.919 +198398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.856325598,0.919 +198399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.594014552,0.919 +198400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.447124686,0.919 +198401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.984907229,0.919 +198402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.932496822,0.919 +198403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.13796819,0.919 +198404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.307400041,0.919 +198406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.006064626,0.919 +198405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.205625122,0.919 +198408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,14.6119035,0.919 +198409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.890179983,0.919 +198407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.712767152,0.919 +198410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,11.84638568,0.919 +198412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.678857284,0.919 +198413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.553733756,0.919 +198411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,13.23345141,0.919 +198415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-1.161887589,0.919 +198416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.916410082,0.919 +198414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.677011463,0.919 +198417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.468343623,0.919 +198418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.151164226,0.919 +198419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.729831596,0.919 +198421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.792529238,0.919 +198420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,9.554410038,0.919 +198422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.568727129,0.919 +198423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.795155156,0.919 +198424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.88310626,0.919 +198425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.292577737,0.919 +198426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.343650607,0.919 +198427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.08374497,0.919 +198430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.526278397,0.919 +198431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,9.778338638,0.919 +198428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.523747048,0.919 +198429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.463236553,0.919 +198432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.788546555,0.919 +198433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.061746504,0.919 +198434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.942881907,0.919 +198438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.930250265,0.919 +198437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.652665276,0.919 +198435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.693724388,0.919 +198436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,9.458464256,0.919 +198439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.890067383,0.919 +198441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.750188783,0.919 +198442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.128493901,0.919 +198440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,11.28629862,0.919 +198444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.549293625,0.919 +198445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.11713511,0.919 +198443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.152258098,0.919 +198446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.56892239,0.919 +198448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.86852868,0.919 +198447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.916043849,0.919 +198450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.96323076,0.919 +198449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.779844105,0.919 +198451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.141473036,0.919 +198452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.639231692,0.919 +198453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.282105337,0.919 +198454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.24619531,0.919 +198456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.428942085,0.919 +198455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.390853148,0.919 +198457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.205476159,0.919 +198459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.370806026,0.919 +198458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.541108855,0.919 +198460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.096539363,0.919 +198461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.053477669,0.919 +198464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,9.792948016,0.919 +198465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.979147807,0.919 +198463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,10.23981256,0.919 +198462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.351746804,0.919 +198466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.813451409,0.919 +198469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.858133596,0.919 +198468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.852533649,0.919 +198467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.197532144,0.919 +198470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.568662922,0.919 +198471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.75134133,0.919 +198472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.236726505,0.919 +198473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.247070646,0.919 +198474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.290761279,0.919 +198476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.352573397,0.919 +198477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.080338416,0.919 +198478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.364314929,0.919 +198480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.801433925,0.919 +198481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.827238916,0.919 +198475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.562841964,0.919 +198479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.938896432,0.919 +198484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.115760078,0.919 +198485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.253510429,0.919 +198482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.28935162,0.919 +198483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.969699158,0.919 +198486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.549871319,0.919 +198487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-1.741087507,0.919 +198488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.395634532,0.919 +198489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,9.707324336,0.919 +198490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.644580273,0.919 +198492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.997854944,0.919 +198491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.484549902,0.919 +198493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.340223305,0.919 +198495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.588843541,0.919 +198497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.586615593,0.919 +198496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.349409187,0.919 +198494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.478172928,0.919 +198498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.583022355,0.919 +198499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.887928978,0.919 +198500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.487537341,0.919 +198501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.959029078,0.919 +198502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.549950429,0.919 +198504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.82380697,0.919 +198503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.077991252,0.919 +198505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.915027779,0.919 +198506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.533704315,0.919 +198507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.762716908,0.919 +198508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.598737509,0.919 +198509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.273957245,0.919 +198510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.727574904,0.919 +198511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.230310318,0.919 +198512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.555912576,0.919 +198514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.791479723,0.919 +198516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.819217845,0.919 +198513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.417945804,0.919 +198515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.036893525,0.919 +198517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.694951927,0.919 +198518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.415400663,0.919 +198519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.921313929,0.919 +198521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.786969692,0.919 +198520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.084279805,0.919 +198522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-5.023593139,0.919 +198524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.958802215,0.919 +198525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.642157099,0.919 +198523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.360962476,0.919 +198526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.878105338,0.919 +198527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.571603344,0.919 +198528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.496664572,0.919 +198530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.78388485,0.919 +198529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-2.569859243,0.919 +198532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.036846924,0.919 +198531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.882868079,0.919 +198533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.137600175,0.919 +198534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.461870824,0.919 +198535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.052612385,0.919 +198537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.552210735,0.919 +198536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-3.583393513,0.919 +198541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.652316098,0.919 +198540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-2.297761948,0.919 +198539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.752146485,0.919 +198538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.241595219,0.919 +198542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.419123966,0.919 +198544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.611961506,0.919 +198543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.212306689,0.919 +198545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.426989387,0.919 +198546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.902476326,0.919 +198548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.250935432,0.919 +198547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.437702525,0.919 +198551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,9.046300171,0.919 +198550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.095520357,0.919 +198552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.088687672,0.919 +198549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.619256568,0.919 +198554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.815094922,0.919 +198553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.28239049,0.919 +198555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.066246771,0.919 +198557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.080346025,0.919 +198558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.213160521,0.919 +198559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.263354657,0.919 +198556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.573497535,0.919 +198560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.380531041,0.919 +198561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.024069799,0.919 +198562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.654441897,0.919 +198563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,9.395214079,0.919 +198564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,12.99873001,0.919 +198566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.298734027,0.919 +198565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.169611445,0.919 +198568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.767993134,0.919 +198569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.483446279,0.919 +198570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.820598784,0.919 +198567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.096447627,0.919 +198571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.815066177,0.919 +198572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.4801441,0.919 +198573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.899799611,0.919 +198574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.814727615,0.919 +198575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.732000124,0.919 +198576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.313377768,0.919 +198578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.679402652,0.919 +198577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.901632249,0.919 +198579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.157869548,0.919 +198580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.352733296,0.919 +198582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.793878226,0.919 +198581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.334278329,0.919 +198583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.316576333,0.919 +198584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.083394034,0.919 +198585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.188695595,0.919 +198587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.11432358,0.919 +198588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.738028317,0.919 +198589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.536541126,0.919 +198586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.060505508,0.919 +198590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.292153572,0.919 +198591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,9.330766097,0.919 +198592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.302126793,0.919 +198593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.535453323,0.919 +198594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.40844487,0.919 +198595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.03302395,0.919 +198596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.307393796,0.919 +198599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,9.427535144,0.919 +198598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.10690713,0.919 +198597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.137971341,0.919 +198600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-1.039904218,0.919 +198601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.071963344,0.919 +198602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.662335005,0.919 +198603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.6667843,0.919 +198604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.450454155,0.919 +198605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.45730339,0.919 +198606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.486606116,0.919 +198608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.493555854,0.919 +198607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.830240232,0.919 +198609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.822101356,0.919 +198610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.261419766,0.919 +198612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.679409839,0.919 +198613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,9.126331732,0.919 +198614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.533136159,0.919 +198616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.78683103,0.919 +198615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.482584083,0.919 +198617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.550176457,0.919 +198611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.862909123,0.919 +198618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.583967571,0.919 +198619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.320936693,0.919 +198620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.909621855,0.919 +198621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.519364178,0.919 +198622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.215021295,0.919 +198624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.695262065,0.919 +198623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.006970117,0.919 +198625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,15.82513752,0.919 +198626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.113824928,0.919 +198627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.119465564,0.919 +198629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-1.645099719,0.919 +198628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.489971987,0.919 +198630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,11.65524654,0.919 +198631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.872959122,0.919 +198633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.23051604,0.919 +198634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.266500261,0.919 +198635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.180383846,0.919 +198636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-2.223495959,0.919 +198632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.604535537,0.919 +198637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,9.923413332,0.919 +198638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.757483552,0.919 +198640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.418422374,0.919 +198641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.764982882,0.919 +198642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,11.34308154,0.919 +198643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.158616861,0.919 +198639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,12.20844593,0.919 +198644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.903826895,0.919 +198645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.724832663,0.919 +198646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.115418049,0.919 +198647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-1.695058894,0.919 +198648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.037399687,0.919 +198649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.697336379,0.919 +198651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.366347513,0.919 +198650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.675151387,0.919 +198652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.729256022,0.919 +198653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.989839505,0.919 +198655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.471551262,0.919 +198656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.704030926,0.919 +198657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.394188457,0.919 +198654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.907480094,0.919 +198658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.505681865,0.919 +198659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.897723839,0.919 +198660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.244957053,0.919 +198662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.880662111,0.919 +198661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.129817247,0.919 +198663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.079305708,0.919 +198664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.434584098,0.919 +198666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.046801995,0.919 +198667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-2.732553727,0.919 +198668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.784684744,0.919 +198665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.404380963,0.919 +198669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.32119797,0.919 +198671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-2.219900028,0.919 +198670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.666356573,0.919 +198672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.65409717,0.919 +198674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.738614136,0.919 +198675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.771206718,0.919 +198676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.875859064,0.919 +198677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.372157225,0.919 +198678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.409013427,0.919 +198679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.021739628,0.919 +198673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.531756811,0.919 +198680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.962840785,0.919 +198681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.010816946,0.919 +198682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.760799345,0.919 +198683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.494082916,0.919 +198684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,13.07797061,0.919 +198686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.963870441,0.919 +198685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.196423,0.919 +198687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.986787399,0.919 +198688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.391955147,0.919 +198689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-1.190308716,0.919 +198690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.405869661,0.919 +198691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.239488152,0.919 +198692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.999376793,0.919 +198693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.583901161,0.919 +198694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,9.657603771,0.919 +198696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.971662993,0.919 +198698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.178134508,0.919 +198697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.619343075,0.919 +198695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,9.620344106,0.919 +198699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.876090406,0.919 +198700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.827306713,0.919 +198701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.519927789,0.919 +198702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.716760035,0.919 +198704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.050829643,0.919 +198703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.799265759,0.919 +198705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.735332061,0.919 +198707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.573092828,0.919 +198706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.206814743,0.919 +198708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.487366392,0.919 +198709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.376895266,0.919 +198710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.596547025,0.919 +198712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,11.25150473,0.919 +198711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,10.36989979,0.919 +198713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.713344551,0.919 +198714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.796739564,0.919 +198715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.894342622,0.919 +198717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.681412316,0.919 +198716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.915216884,0.919 +198718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.009662632,0.919 +198719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.988379169,0.919 +198720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.235865948,0.919 +198721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,11.54509196,0.919 +198722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.726104867,0.919 +198723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.291020424,0.919 +198724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.60129759,0.919 +198726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.683516354,0.919 +198725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.273737256,0.919 +198727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.747363614,0.919 +198729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.051082568,0.919 +198728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.772614599,0.919 +198730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.037043687,0.919 +198731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,9.523064649,0.919 +198732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.226183635,0.919 +198733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.045098997,0.919 +198734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.974078573,0.919 +198736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.554705642,0.919 +198735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.537834713,0.919 +198737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.971652104,0.919 +198739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.846399149,0.919 +198740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-2.073516331,0.919 +198738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.40266268,0.919 +198741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.758982261,0.919 +198743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.333258882,0.919 +198742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.050346945,0.919 +198744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.113986721,0.919 +198745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.539378004,0.919 +198746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,9.894002009,0.919 +198747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.979664625,0.919 +198749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.557360838,0.919 +198748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.972685841,0.919 +198750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.395166776,0.919 +198751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.084490363,0.919 +198752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.342651792,0.919 +198753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.196948409,0.919 +198754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.889139442,0.919 +198755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.560465638,0.919 +198756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.255057558,0.919 +198758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.570729705,0.919 +198757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.998173341,0.919 +198759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.682081131,0.919 +198760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.532662843,0.919 +198761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.95592946,0.919 +198763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.020710313,0.919 +198764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.348045956,0.919 +198762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.887900123,0.919 +198765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.354467004,0.919 +198766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,9.6462032,0.919 +198767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.074097632,0.919 +198769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.514322232,0.919 +198768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.468658548,0.919 +198770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.647160459,0.919 +198771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.522979748,0.919 +198772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.232552777,0.919 +198773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.10044524,0.919 +198774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.055398614,0.919 +198775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,10.56031864,0.919 +198776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.959691286,0.919 +198777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.673327172,0.919 +198778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-2.512671066,0.919 +198779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.167128545,0.919 +198780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.577903811,0.919 +198782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.071422223,0.919 +198783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.448693268,0.919 +198784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.189938623,0.919 +198785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.631338226,0.919 +198781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.634027994,0.919 +198786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,9.364189368,0.919 +198787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.164934569,0.919 +198788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.229624781,0.919 +198789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.268201714,0.919 +198791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.789974867,0.919 +198790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.107284716,0.919 +198793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.322980364,0.919 +198792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.112899481,0.919 +198794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.177300627,0.919 +198795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.270219048,0.919 +198797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.144465415,0.919 +198798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.610256373,0.919 +198796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.851350635,0.919 +198799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.443634141,0.919 +198800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.506047305,0.919 +198801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-1.576244244,0.919 +198802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.833164008,0.919 +198803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.165379022,0.919 +198804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-2.154694216,0.919 +198805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.176466814,0.919 +198806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.742520405,0.919 +198807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.060568976,0.919 +198809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.813369756,0.919 +198808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.679131235,0.919 +198810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.677513183,0.919 +198811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.746041024,0.919 +198812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.390887638,0.919 +198814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.704749382,0.919 +198813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.374874787,0.919 +198815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.76547908,0.919 +198816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.431353258,0.919 +198817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.273708744,0.919 +198819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.490974943,0.919 +198818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.06074473,0.919 +198821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.356630589,0.919 +198820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.39563439,0.919 +198822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,10.18365573,0.919 +198823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-1.575918813,0.919 +198824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.199652097,0.919 +198825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.243595126,0.919 +198826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.775156392,0.919 +198827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,17.80761226,0.919 +198828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.430132918,0.919 +198830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.988920566,0.919 +198829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.666725012,0.919 +198831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.165189836,0.919 +198832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.829732443,0.919 +198834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.534494479,0.919 +198833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.505593943,0.919 +198835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.963411737,0.919 +198838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.487899459,0.919 +198837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.999878382,0.919 +198836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.666459977,0.919 +198839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.066938772,0.919 +198841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.058018178,0.919 +198840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.616879835,0.919 +198842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.975852615,0.919 +198843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,10.90716215,0.919 +198844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.550117173,0.919 +198845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.80338955,0.919 +198846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.41582601,0.919 +198847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.0721744,0.919 +198848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.277979698,0.919 +198849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.374886216,0.919 +198850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.253250241,0.919 +198853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.747702797,0.919 +198854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.447938382,0.919 +198852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.522906045,0.919 +198851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.309008487,0.919 +198855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.724732685,0.919 +198857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.026748036,0.919 +198856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.681614575,0.919 +198858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.049569702,0.919 +198859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.870657719,0.919 +198860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.064801512,0.919 +198861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.757190626,0.919 +198862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.911820071,0.919 +198864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.131465004,0.919 +198863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.990301682,0.919 +198865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.583765619,0.919 +198869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.602593269,0.919 +198868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.593601706,0.919 +198867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.844397242,0.919 +198871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-2.174826717,0.919 +198866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,11.48105781,0.919 +198872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.535545839,0.919 +198870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.502228258,0.919 +198873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-1.290282458,0.919 +198874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.925224259,0.919 +198875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.277159493,0.919 +198877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,9.132143627,0.919 +198878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.61494243,0.919 +198876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.185358722,0.919 +198879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.330729222,0.919 +198880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.959385931,0.919 +198883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.908968679,0.919 +198882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.470592125,0.919 +198881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,10.60169635,0.919 +198884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.656031408,0.919 +198886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.805326163,0.919 +198887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.091321708,0.919 +198885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.880307071,0.919 +198888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,12.97742538,0.919 +198890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.307234578,0.919 +198891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.874239726,0.919 +198892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,11.49447969,0.919 +198889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-1.033796666,0.919 +198893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.462866234,0.919 +198895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.529920685,0.919 +198894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.160457664,0.919 +198896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.255551951,0.919 +198899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.938415915,0.919 +198897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.532393997,0.919 +198898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.980466206,0.919 +198900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.381605192,0.919 +198903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,10.43595063,0.919 +198902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.099939033,0.919 +198904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.914329757,0.919 +198905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.761721389,0.919 +198906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.518575381,0.919 +198901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.555527274,0.919 +198908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.208648675,0.919 +198909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.174425442,0.919 +198907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.995753704,0.919 +198910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.508435235,0.919 +198913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.628476169,0.919 +198911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.857619335,0.919 +198912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.736313432,0.919 +198914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.888109378,0.919 +198915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.063296116,0.919 +198916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.988564296,0.919 +198917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.614490418,0.919 +198918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.30366524,0.919 +198920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.624366472,0.919 +198919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.269943992,0.919 +198921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,10.31083177,0.919 +198923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,10.12281985,0.919 +198925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.796355399,0.919 +198922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.379652569,0.919 +198924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.93740759,0.919 +198926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.460830882,0.919 +198928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.881107479,0.919 +198927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.149684579,0.919 +198929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.634116358,0.919 +198931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.659999088,0.919 +198932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.823688505,0.919 +198930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-1.74392588,0.919 +198933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.006987873,0.919 +198934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.285053367,0.919 +198935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.122459289,0.919 +198936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.9580865,0.919 +198937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.741415694,0.919 +198940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.417408422,0.919 +198939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.324809195,0.919 +198942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.815030056,0.919 +198938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.40041103,0.919 +198943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.785982587,0.919 +198941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.42775227,0.919 +198944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.835596195,0.919 +198945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.76751041,0.919 +198946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.430574153,0.919 +198947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.790159431,0.919 +198948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.66827911,0.919 +198950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.020427087,0.919 +198951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.063614606,0.919 +198949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,11.4971147,0.919 +198952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.373181474,0.919 +198953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.709391228,0.919 +198954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.479046052,0.919 +198955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-0.746752268,0.919 +198956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.770177849,0.919 +198957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.036154813,0.919 +198958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.460822563,0.919 +198960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.699127739,0.919 +198959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,5.277618347,0.919 +198962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,10.40774044,0.919 +198961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.540674186,0.919 +198963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.752736462,0.919 +198966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.613799999,0.919 +198965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.139977798,0.919 +198964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.580966964,0.919 +198967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.061288714,0.919 +198968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.143686787,0.919 +198969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.644494823,0.919 +198970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.740472362,0.919 +198971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.209157373,0.919 +198973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.838728551,0.919 +198972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.829744048,0.919 +198974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.059275396,0.919 +198975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.729388653,0.919 +198976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.872544354,0.919 +198979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,13.26641077,0.919 +198978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.924733886,0.919 +198980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,9.466363671,0.919 +198977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.094418347,0.919 +198981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,-1.489294415,0.919 +198983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.889361518,0.919 +198982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.683785001,0.919 +198985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,10.66538336,0.919 +198986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.045547553,0.919 +198984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.977184972,0.919 +198987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.98784158,0.919 +198988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.062926752,0.919 +198990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,6.579495789,0.919 +198989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,3.90951117,0.919 +198991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.118604287,0.919 +198992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,10.19331165,0.919 +198993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,2.672256981,0.919 +198994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.567045625,0.919 +198996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,8.444966354,0.919 +198995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,4.210833056,0.919 +198998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,7.534903772,0.919 +198999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.716544311,0.919 +199000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,0.435019145,0.919 +198997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,9,1,1.583179122,0.919 +208001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.315350278,0.878 +208002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.298298553,0.878 +208004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.926239142,0.878 +208005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.687883377,0.878 +208007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.025799174,0.878 +208006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,13.94398735,0.878 +208003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.106040697,0.878 +208009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,9.948515847,0.878 +208010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-1.767851901,0.878 +208011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.391749352,0.878 +208008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.39355457,0.878 +208012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.413078718,0.878 +208013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,13.0704458,0.878 +208014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,12.54169405,0.878 +208015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.840898663,0.878 +208016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-1.319792519,0.878 +208017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.065573498,0.878 +208018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.371078495,0.878 +208019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.667965925,0.878 +208020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.981206455,0.878 +208021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,11.92754236,0.878 +208022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.566267063,0.878 +208025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.971210093,0.878 +208024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.227494803,0.878 +208026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,11.14370443,0.878 +208027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.017446539,0.878 +208028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.025922814,0.878 +208023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.827944389,0.878 +208029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.077890595,0.878 +208031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.593868949,0.878 +208030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,12.21034132,0.878 +208032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.971816409,0.878 +208033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.591925315,0.878 +208035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.433130283,0.878 +208036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.940053889,0.878 +208034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.993695672,0.878 +208037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,10.87196157,0.878 +208039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.545340043,0.878 +208038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.189376138,0.878 +208041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.025752788,0.878 +208040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.830449001,0.878 +208043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,10.8046763,0.878 +208044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.922018912,0.878 +208045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.959868432,0.878 +208046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-3.697853587,0.878 +208042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.247906099,0.878 +208047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.452317794,0.878 +208048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.841878953,0.878 +208049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,9.317939348,0.878 +208050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.389170711,0.878 +208051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.802106991,0.878 +208052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.85952173,0.878 +208053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.552395386,0.878 +208054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.87100821,0.878 +208055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.750872876,0.878 +208056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.751876614,0.878 +208057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.772898513,0.878 +208058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,12.0783415,0.878 +208059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.547939889,0.878 +208060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.459157558,0.878 +208061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-1.4671092,0.878 +208063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.322844248,0.878 +208064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.994057403,0.878 +208065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,9.101712262,0.878 +208066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.875430534,0.878 +208062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.918013101,0.878 +208067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.120906519,0.878 +208068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.256780497,0.878 +208070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.595407382,0.878 +208069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.481968705,0.878 +208071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.301648947,0.878 +208072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.15410575,0.878 +208074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.294232682,0.878 +208073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.242372579,0.878 +208075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-1.781448431,0.878 +208076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.660043548,0.878 +208077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.997357465,0.878 +208079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-3.718117695,0.878 +208080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.653947259,0.878 +208081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.661304531,0.878 +208078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.309812653,0.878 +208082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.759600041,0.878 +208083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.486186688,0.878 +208084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.15291725,0.878 +208085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,9.066945127,0.878 +208086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.284785157,0.878 +208087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.759087849,0.878 +208088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,11.36213179,0.878 +208089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.595090156,0.878 +208091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.210388876,0.878 +208090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.202054109,0.878 +208092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.145461861,0.878 +208094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.437149239,0.878 +208095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.508963143,0.878 +208093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.284530788,0.878 +208096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.80863911,0.878 +208098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.396740714,0.878 +208097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.020479903,0.878 +208099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.575765385,0.878 +208100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-1.591281822,0.878 +208102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.410258051,0.878 +208101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.188087214,0.878 +208103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,10.63731791,0.878 +208104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-4.661735048,0.878 +208106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.789280865,0.878 +208105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.001335437,0.878 +208108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.011189685,0.878 +208107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.496861851,0.878 +208109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.666158713,0.878 +208110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.360331288,0.878 +208111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.28136333,0.878 +208112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.741562272,0.878 +208114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.316767634,0.878 +208113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.851854218,0.878 +208116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.417834758,0.878 +208115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.344339309,0.878 +208117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.880184761,0.878 +208119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.630262337,0.878 +208120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.506914199,0.878 +208121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.997938888,0.878 +208118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.230801335,0.878 +208123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.802472261,0.878 +208122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.157611819,0.878 +208124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.937314469,0.878 +208126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.024349971,0.878 +208125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.782287606,0.878 +208127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.883122357,0.878 +208128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.786828776,0.878 +208130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.735017514,0.878 +208129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,14.06558846,0.878 +208131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,11.57762441,0.878 +208132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.077085309,0.878 +208133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,10.75080347,0.878 +208134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.810844505,0.878 +208136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,15.66986879,0.878 +208138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.710599108,0.878 +208135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.092216621,0.878 +208139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,10.37444112,0.878 +208140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,9.96611827,0.878 +208141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,12.91752077,0.878 +208137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.672861719,0.878 +208142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.145696789,0.878 +208143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,10.51886709,0.878 +208145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.645982477,0.878 +208144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.155857372,0.878 +208146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.847132417,0.878 +208147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.73426144,0.878 +208148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.322699372,0.878 +208150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.438865013,0.878 +208151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.761861839,0.878 +208149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-4.754933377,0.878 +208152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.352557134,0.878 +208153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.086694869,0.878 +208154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.717319059,0.878 +208155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.326185629,0.878 +208158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.12737859,0.878 +208159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.026029294,0.878 +208156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.978277772,0.878 +208157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.236346826,0.878 +208160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,9.675007721,0.878 +208162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,10.66364628,0.878 +208163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.976018611,0.878 +208164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.801710905,0.878 +208165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.826513797,0.878 +208166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,11.35144709,0.878 +208161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,12.71757229,0.878 +208167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-7.775399798,0.878 +208168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.418388949,0.878 +208169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.584950738,0.878 +208173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.934820346,0.878 +208170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.326698272,0.878 +208171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.244012551,0.878 +208172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.379813224,0.878 +208175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.229577924,0.878 +208177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-1.213450396,0.878 +208176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.603168929,0.878 +208174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.963304457,0.878 +208179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.713631901,0.878 +208178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,13.30275783,0.878 +208180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.96921532,0.878 +208181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-1.715478437,0.878 +208182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.743346149,0.878 +208185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.015804326,0.878 +208184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.777709921,0.878 +208183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.253897558,0.878 +208188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,9.823467799,0.878 +208187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.591771801,0.878 +208186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.190604421,0.878 +208189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.894209065,0.878 +208192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.028180563,0.878 +208190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.445909081,0.878 +208191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.073166094,0.878 +208194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.082261882,0.878 +208193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,9.264150568,0.878 +208195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.37062075,0.878 +208196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.014078636,0.878 +208197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.485093013,0.878 +208199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.219437894,0.878 +208200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.080168296,0.878 +208202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.769371208,0.878 +208203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.946826272,0.878 +208198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.757569687,0.878 +208201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.11500036,0.878 +208204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.009912769,0.878 +208205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.165413067,0.878 +208207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.374099249,0.878 +208206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.465747065,0.878 +208209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.576682214,0.878 +208211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.934857141,0.878 +208210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,10.19275197,0.878 +208208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,12.20428496,0.878 +208212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.850250899,0.878 +208213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.641099132,0.878 +208215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.36636406,0.878 +208214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.666525751,0.878 +208217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.110161115,0.878 +208216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,15.59659943,0.878 +208218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.268870932,0.878 +208219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.910263536,0.878 +208221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.20343424,0.878 +208222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.051713312,0.878 +208220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,11.62333219,0.878 +208223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-2.764837648,0.878 +208224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.113649451,0.878 +208226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,9.139334801,0.878 +208225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.677826501,0.878 +208230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.954371108,0.878 +208229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.131636465,0.878 +208228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.467376964,0.878 +208227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.990737399,0.878 +208231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.925865386,0.878 +208232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.265986894,0.878 +208233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.218809827,0.878 +208236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.631210342,0.878 +208237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.787571785,0.878 +208235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-2.166492451,0.878 +208234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.850487694,0.878 +208239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.916810262,0.878 +208240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.894919993,0.878 +208238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-1.680559281,0.878 +208242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.209620811,0.878 +208243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.695434886,0.878 +208244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.894546658,0.878 +208241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.137402075,0.878 +208245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.353729262,0.878 +208246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.258520658,0.878 +208247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.601940985,0.878 +208248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.355294121,0.878 +208250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,9.340129754,0.878 +208251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.642717702,0.878 +208249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.218929857,0.878 +208252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.432543656,0.878 +208253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,11.38293575,0.878 +208254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.436628838,0.878 +208255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.594652222,0.878 +208256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.304606763,0.878 +208257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.268589087,0.878 +208258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.61985866,0.878 +208259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.547725959,0.878 +208261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.901288934,0.878 +208262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.691250215,0.878 +208263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.826235253,0.878 +208260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.810097314,0.878 +208264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.342491495,0.878 +208265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.995496499,0.878 +208266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,10.41210398,0.878 +208267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.332412131,0.878 +208268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.038453735,0.878 +208269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.0993022,0.878 +208270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.687362033,0.878 +208271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.593383851,0.878 +208272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.092315012,0.878 +208273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.865613224,0.878 +208274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.27812576,0.878 +208275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.20991887,0.878 +208276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.543260734,0.878 +208277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.610517874,0.878 +208278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.453350814,0.878 +208280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-5.315826597,0.878 +208281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.310131092,0.878 +208279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.920468944,0.878 +208282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.338498554,0.878 +208283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.362091006,0.878 +208284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.717977751,0.878 +208286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.184211396,0.878 +208285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.075466098,0.878 +208287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.051734937,0.878 +208288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.722025813,0.878 +208289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.32638041,0.878 +208290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.773864782,0.878 +208291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.337786753,0.878 +208292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.424300972,0.878 +208293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,10.33929314,0.878 +208295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.323679648,0.878 +208294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.223406741,0.878 +208297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.212152083,0.878 +208296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.703321821,0.878 +208299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.462444242,0.878 +208298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-1.035998952,0.878 +208300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-2.967988887,0.878 +208301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.359402655,0.878 +208302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,9.60616486,0.878 +208304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.399999138,0.878 +208303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.605399416,0.878 +208305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.256279551,0.878 +208306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.083969109,0.878 +208307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.833872329,0.878 +208309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.369069288,0.878 +208310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-2.410521921,0.878 +208308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.503753377,0.878 +208311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.97766584,0.878 +208314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.468659278,0.878 +208313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.476677843,0.878 +208312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,9.219264187,0.878 +208315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.591119091,0.878 +208316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.422075431,0.878 +208317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.446070926,0.878 +208318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.136232081,0.878 +208319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.30475672,0.878 +208320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-2.263364863,0.878 +208321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.64311445,0.878 +208322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.242750344,0.878 +208323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-2.301371045,0.878 +208324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-1.54729758,0.878 +208325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-3.38009866,0.878 +208326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.314199543,0.878 +208328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.937518944,0.878 +208327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.728456093,0.878 +208331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.875860327,0.878 +208332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.744028678,0.878 +208329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,10.91260677,0.878 +208333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.393589858,0.878 +208330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.030218876,0.878 +208334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.411053547,0.878 +208335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.474050625,0.878 +208336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.827290975,0.878 +208338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-2.260378791,0.878 +208337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-2.740958778,0.878 +208339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.590684802,0.878 +208340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.91529632,0.878 +208341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.351889089,0.878 +208343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.552347888,0.878 +208342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-1.355542649,0.878 +208344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.798570678,0.878 +208345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.615923881,0.878 +208347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,13.55327064,0.878 +208346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.573579552,0.878 +208348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.023435256,0.878 +208349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.611758301,0.878 +208350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,9.206448065,0.878 +208352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,11.16990877,0.878 +208353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.432446959,0.878 +208351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.796997144,0.878 +208354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.424754769,0.878 +208355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.909921799,0.878 +208358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.514486394,0.878 +208356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.12533397,0.878 +208357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.324344545,0.878 +208359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,9.107359135,0.878 +208361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.35938253,0.878 +208362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.745416567,0.878 +208363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.16407356,0.878 +208360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.371240121,0.878 +208364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.628766106,0.878 +208366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,10.08524948,0.878 +208368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.569551514,0.878 +208367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.273191366,0.878 +208369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.92203373,0.878 +208365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-2.466902525,0.878 +208370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.742873041,0.878 +208371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,11.70060165,0.878 +208375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.066377934,0.878 +208373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.172498805,0.878 +208372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.036878008,0.878 +208374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.287997637,0.878 +208376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,9.381513877,0.878 +208378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.825393144,0.878 +208377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.988958924,0.878 +208379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.005741049,0.878 +208381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.152742408,0.878 +208383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.912613396,0.878 +208382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.499582045,0.878 +208384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.160581623,0.878 +208385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.396176159,0.878 +208380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.27358755,0.878 +208386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.269992561,0.878 +208389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.501518443,0.878 +208387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.818354577,0.878 +208388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.138802353,0.878 +208390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.134110121,0.878 +208391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.358489263,0.878 +208392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,14.85710236,0.878 +208393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.478878524,0.878 +208395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,12.63473333,0.878 +208394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.616720731,0.878 +208396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.71963503,0.878 +208397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,9.431972383,0.878 +208399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.446619613,0.878 +208400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.556849197,0.878 +208401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,10.39247186,0.878 +208398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.196898866,0.878 +208404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,9.721723754,0.878 +208402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.359449985,0.878 +208405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.960366859,0.878 +208403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,10.52672205,0.878 +208409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.486586187,0.878 +208407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.468797268,0.878 +208406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.672677235,0.878 +208408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.565018772,0.878 +208410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.81684512,0.878 +208412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-1.608415344,0.878 +208411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.103965603,0.878 +208413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.371131588,0.878 +208415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.035487136,0.878 +208416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,9.909883855,0.878 +208417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.1717815,0.878 +208414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.868910842,0.878 +208418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.746682192,0.878 +208420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.393363771,0.878 +208421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.129820999,0.878 +208419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.25461546,0.878 +208422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.126916301,0.878 +208423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.221674302,0.878 +208424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.114057002,0.878 +208425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,10.93085919,0.878 +208426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.90079321,0.878 +208427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.642905014,0.878 +208428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.417006339,0.878 +208430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.071537809,0.878 +208429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.355769489,0.878 +208431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.395338158,0.878 +208432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.277848139,0.878 +208433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.307408141,0.878 +208434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,10.15997654,0.878 +208435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.354179104,0.878 +208438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.340183292,0.878 +208436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.45717201,0.878 +208437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-1.448110039,0.878 +208439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,11.00242401,0.878 +208442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,9.798944602,0.878 +208440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-1.671175011,0.878 +208441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.057909919,0.878 +208443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.241965198,0.878 +208445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.131669131,0.878 +208444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-4.04209835,0.878 +208446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.551365936,0.878 +208448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.683151145,0.878 +208449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.409929152,0.878 +208447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,10.29797555,0.878 +208450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.398588133,0.878 +208451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-1.000148796,0.878 +208453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.51171229,0.878 +208452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.031177858,0.878 +208454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.51115653,0.878 +208455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.79939734,0.878 +208457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,9.117719178,0.878 +208456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.776348112,0.878 +208458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,10.69217906,0.878 +208459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.299747944,0.878 +208460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-1.614259562,0.878 +208463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.637944995,0.878 +208462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.181648663,0.878 +208461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.111918112,0.878 +208464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.961156252,0.878 +208465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,10.41657694,0.878 +208467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.027803366,0.878 +208466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.303753239,0.878 +208468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.500572385,0.878 +208469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.676454687,0.878 +208472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.209567145,0.878 +208471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.345064536,0.878 +208473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.891364273,0.878 +208474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.434231438,0.878 +208470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.992361017,0.878 +208475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.23672816,0.878 +208476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-2.546154637,0.878 +208477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.266502608,0.878 +208478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.681133944,0.878 +208479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.946773102,0.878 +208482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-1.291914611,0.878 +208480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.649545282,0.878 +208481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.934217963,0.878 +208484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.128147611,0.878 +208485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.513891553,0.878 +208483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.280552717,0.878 +208486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.811059221,0.878 +208488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.806307819,0.878 +208489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.007520435,0.878 +208490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.986195101,0.878 +208487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.992491041,0.878 +208491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,9.938392661,0.878 +208492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-1.852716488,0.878 +208493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.175966638,0.878 +208494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.321530794,0.878 +208496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.028160887,0.878 +208495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.958322257,0.878 +208497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.70196485,0.878 +208498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.123565978,0.878 +208500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.30379555,0.878 +208499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.078715336,0.878 +208501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.855838975,0.878 +208502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.038618556,0.878 +208503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.697413103,0.878 +208504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,11.64766301,0.878 +208505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.164674448,0.878 +208507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.627580537,0.878 +208509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.348997569,0.878 +208508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-2.16112122,0.878 +208506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,10.4637295,0.878 +208510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.656805406,0.878 +208511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.081126261,0.878 +208513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.282103405,0.878 +208512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.853051087,0.878 +208515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.93702329,0.878 +208516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.945344283,0.878 +208514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.691483966,0.878 +208519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.96377154,0.878 +208517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.971365804,0.878 +208520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.071392564,0.878 +208518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.477428897,0.878 +208522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.29359909,0.878 +208521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.113513548,0.878 +208524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.501531534,0.878 +208523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.793094292,0.878 +208526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.360629107,0.878 +208527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.749436253,0.878 +208528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.955143099,0.878 +208529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.147513869,0.878 +208530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.552132788,0.878 +208531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.691164564,0.878 +208525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.132527327,0.878 +208532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.259995415,0.878 +208533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.670165961,0.878 +208534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.425439251,0.878 +208536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-1.674971529,0.878 +208537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.150800068,0.878 +208535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,10.35251634,0.878 +208538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.411912226,0.878 +208539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-2.980011237,0.878 +208541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.71782254,0.878 +208540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-3.2176932,0.878 +208542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.030242739,0.878 +208543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,11.17764353,0.878 +208545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-2.483853774,0.878 +208546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.157427611,0.878 +208544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.190574745,0.878 +208547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.433174906,0.878 +208548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.771694357,0.878 +208549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,9.659014065,0.878 +208551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.845206557,0.878 +208552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.597740757,0.878 +208550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-1.054728417,0.878 +208553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.041909972,0.878 +208554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.394039829,0.878 +208556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.672379159,0.878 +208555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.605875332,0.878 +208557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.345773186,0.878 +208558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-1.567779268,0.878 +208561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.457343172,0.878 +208560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.147958041,0.878 +208559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.15745504,0.878 +208562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,11.57740665,0.878 +208563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-1.546693118,0.878 +208564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.220878213,0.878 +208568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.732414099,0.878 +208566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,13.06176707,0.878 +208565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.423947174,0.878 +208567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.2170106,0.878 +208571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.654796402,0.878 +208569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.713086315,0.878 +208572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.607937424,0.878 +208570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.919621044,0.878 +208574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.451459189,0.878 +208575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.161710136,0.878 +208573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.950715792,0.878 +208576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.647145745,0.878 +208577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.68687925,0.878 +208578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.289791036,0.878 +208579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,10.67749771,0.878 +208580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.788791784,0.878 +208581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-1.4543099,0.878 +208582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.460321469,0.878 +208584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.00667591,0.878 +208585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.892977491,0.878 +208583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.297891093,0.878 +208588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.969364974,0.878 +208587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,21.00524173,0.878 +208586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.083954808,0.878 +208589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.305886775,0.878 +208590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.275639102,0.878 +208591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.614928799,0.878 +208592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.135889217,0.878 +208593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.398739043,0.878 +208595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.150642963,0.878 +208596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.227638901,0.878 +208594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.978715198,0.878 +208598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-1.630800427,0.878 +208599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-1.173059685,0.878 +208600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.024503843,0.878 +208597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.671763423,0.878 +208601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.825192523,0.878 +208602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.432041859,0.878 +208603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.230572617,0.878 +208604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.977344248,0.878 +208606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.097379201,0.878 +208605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,11.00352412,0.878 +208608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.398180801,0.878 +208607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.132488667,0.878 +208609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.287832101,0.878 +208610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-2.542544589,0.878 +208612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.572589237,0.878 +208611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.554545024,0.878 +208613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.290689064,0.878 +208615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.644683849,0.878 +208614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.663515989,0.878 +208616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.800971733,0.878 +208618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.160127074,0.878 +208619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.167748182,0.878 +208617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.85725249,0.878 +208620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.60020758,0.878 +208622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.961885151,0.878 +208621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.788452523,0.878 +208623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.133582653,0.878 +208626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,11.74271488,0.878 +208625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.975333173,0.878 +208624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.656471422,0.878 +208627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.954596004,0.878 +208628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.410649215,0.878 +208629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.484579452,0.878 +208630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,13.39715851,0.878 +208631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.185172362,0.878 +208632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-3.862009241,0.878 +208633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.858642162,0.878 +208635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.876506475,0.878 +208636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.575210978,0.878 +208637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-3.352299817,0.878 +208638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.49011442,0.878 +208634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.240938435,0.878 +208639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.739952715,0.878 +208640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.731260562,0.878 +208641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,11.79063452,0.878 +208642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.989956915,0.878 +208643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,11.72634334,0.878 +208644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.670344043,0.878 +208646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.148149978,0.878 +208645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.83254735,0.878 +208647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.284885586,0.878 +208648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.180018395,0.878 +208650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.10236691,0.878 +208651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.906626348,0.878 +208649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.39431241,0.878 +208652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.267292092,0.878 +208653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.142719581,0.878 +208654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.511968873,0.878 +208656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.326018205,0.878 +208657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,10.03887801,0.878 +208658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,10.28052185,0.878 +208659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.230366051,0.878 +208655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.564791813,0.878 +208660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.460187784,0.878 +208661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.261514744,0.878 +208662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.874686865,0.878 +208663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.018365651,0.878 +208665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.298608,0.878 +208664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.16639067,0.878 +208666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.043754348,0.878 +208667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.981882148,0.878 +208668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.621540421,0.878 +208669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,19.01364866,0.878 +208670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.492300811,0.878 +208671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.579278922,0.878 +208673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.091546588,0.878 +208674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.507464007,0.878 +208672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.237792401,0.878 +208676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-1.685840688,0.878 +208678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.103047655,0.878 +208677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.851174836,0.878 +208679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.04520979,0.878 +208675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.132679441,0.878 +208680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.971045134,0.878 +208681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.930655032,0.878 +208682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,10.41844332,0.878 +208683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,9.890018428,0.878 +208684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.026253925,0.878 +208685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,9.638160785,0.878 +208686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.200373679,0.878 +208687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,9.593214315,0.878 +208689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-1.989837891,0.878 +208688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.571642059,0.878 +208692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.133864167,0.878 +208693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.944738614,0.878 +208690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.458228878,0.878 +208691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.333179084,0.878 +208696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.463688533,0.878 +208695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.001781035,0.878 +208694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.887893544,0.878 +208697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,11.2871561,0.878 +208698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.075944499,0.878 +208699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.351526987,0.878 +208700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.430352186,0.878 +208701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.606554891,0.878 +208702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.787704922,0.878 +208703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.105413071,0.878 +208704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.049276837,0.878 +208707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.66637358,0.878 +208708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.385800038,0.878 +208706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.905659242,0.878 +208705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.168891404,0.878 +208711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.738931776,0.878 +208710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.001933818,0.878 +208709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.809953906,0.878 +208712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.158025776,0.878 +208714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.453565506,0.878 +208713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.679868474,0.878 +208715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.921414246,0.878 +208716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.557088253,0.878 +208717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.516316439,0.878 +208718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.913172194,0.878 +208719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.691147417,0.878 +208720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,9.05105181,0.878 +208721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.691147922,0.878 +208723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,11.46701706,0.878 +208722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,10.90123389,0.878 +208725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,9.33790659,0.878 +208726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.138511627,0.878 +208727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.155716353,0.878 +208728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.307973546,0.878 +208724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.514245661,0.878 +208729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.690096624,0.878 +208730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.313493235,0.878 +208731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.994627917,0.878 +208732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.387706307,0.878 +208733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-2.812169876,0.878 +208734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.340360811,0.878 +208735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-2.855206823,0.878 +208736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.284032406,0.878 +208737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.277578684,0.878 +208738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.708152577,0.878 +208739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.474882716,0.878 +208740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.269916366,0.878 +208742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.269350943,0.878 +208741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-3.322362149,0.878 +208743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.82107657,0.878 +208745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.938416162,0.878 +208746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.661143965,0.878 +208747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.482374838,0.878 +208748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.646226163,0.878 +208749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.248161605,0.878 +208750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.365400433,0.878 +208744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.756320205,0.878 +208751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-2.834031914,0.878 +208753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,12.53222517,0.878 +208752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.928433959,0.878 +208754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-3.697180028,0.878 +208755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,9.615976989,0.878 +208756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-1.370085329,0.878 +208757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.658432353,0.878 +208758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.221023545,0.878 +208759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.020332159,0.878 +208760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.724705447,0.878 +208761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.873165612,0.878 +208763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.138731034,0.878 +208764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.430626348,0.878 +208765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.818679707,0.878 +208766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.765815357,0.878 +208762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.576080152,0.878 +208768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.109882869,0.878 +208767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.919854149,0.878 +208769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.347346614,0.878 +208770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,9.282299745,0.878 +208772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.698509778,0.878 +208771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.930869193,0.878 +208773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.68810059,0.878 +208774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.865374245,0.878 +208775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.065859723,0.878 +208776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.212745514,0.878 +208777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.132537016,0.878 +208779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.94597945,0.878 +208778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.050550743,0.878 +208780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,11.28250285,0.878 +208781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.476547311,0.878 +208784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.651185737,0.878 +208783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.705822423,0.878 +208785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.399794418,0.878 +208782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.406505705,0.878 +208786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.040340382,0.878 +208787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.35305678,0.878 +208788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.133810869,0.878 +208789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-3.254980165,0.878 +208790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.37581692,0.878 +208791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,12.31322127,0.878 +208792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.17844795,0.878 +208793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.382177961,0.878 +208794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,11.44351914,0.878 +208796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.853806232,0.878 +208795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.411784068,0.878 +208798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.360480964,0.878 +208797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.798456558,0.878 +208800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.717713749,0.878 +208801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.330189535,0.878 +208799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.203358807,0.878 +208803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.831232569,0.878 +208802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.548230382,0.878 +208805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.645549219,0.878 +208804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.757217489,0.878 +208806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.808880342,0.878 +208807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.972448769,0.878 +208808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.737680429,0.878 +208809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.916381104,0.878 +208810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.14854238,0.878 +208812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,9.943220126,0.878 +208811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.263630962,0.878 +208814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.047227732,0.878 +208813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.016725711,0.878 +208816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,10.55104558,0.878 +208815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,10.49237259,0.878 +208818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.763884341,0.878 +208820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.20913131,0.878 +208817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-2.43432789,0.878 +208821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.682041531,0.878 +208819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.73274456,0.878 +208822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.497024591,0.878 +208823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.518911773,0.878 +208824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-1.753069167,0.878 +208826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.904981184,0.878 +208827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.435009023,0.878 +208825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-1.536233487,0.878 +208828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.7767612,0.878 +208829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,10.00653629,0.878 +208831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.349265198,0.878 +208830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.770691654,0.878 +208832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.072873817,0.878 +208833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.126860507,0.878 +208835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.672393925,0.878 +208836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.970975977,0.878 +208837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.248301539,0.878 +208838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.615265802,0.878 +208834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.428155797,0.878 +208839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.720385955,0.878 +208840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.524130948,0.878 +208841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.898387846,0.878 +208843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,14.7001049,0.878 +208844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.174192686,0.878 +208842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,11.88323942,0.878 +208846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.263246746,0.878 +208845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.495757714,0.878 +208847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.307409205,0.878 +208848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.713752483,0.878 +208850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-1.039171364,0.878 +208849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-2.66890426,0.878 +208853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.841508008,0.878 +208852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.042888332,0.878 +208854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.09209252,0.878 +208851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.474370782,0.878 +208855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.183237039,0.878 +208857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.378585547,0.878 +208858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.160659351,0.878 +208859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,10.01320231,0.878 +208856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,13.9742069,0.878 +208861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,11.23424926,0.878 +208860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.473091474,0.878 +208862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.067643474,0.878 +208863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.310239439,0.878 +208865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.238794816,0.878 +208864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-2.267247368,0.878 +208866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-1.230120021,0.878 +208868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.415126913,0.878 +208867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.533320949,0.878 +208870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.138037164,0.878 +208871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.498278641,0.878 +208872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.85752998,0.878 +208873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.523335513,0.878 +208869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.899668701,0.878 +208877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,10.66433166,0.878 +208876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.227728457,0.878 +208875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.652599955,0.878 +208874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.906970859,0.878 +208879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.329563882,0.878 +208881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.786311964,0.878 +208878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.705927343,0.878 +208880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,10.50492322,0.878 +208882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.548261473,0.878 +208883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,12.23172151,0.878 +208885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.953379963,0.878 +208887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.862172627,0.878 +208886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.74995269,0.878 +208884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.911240402,0.878 +208888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.943959074,0.878 +208891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-1.321270631,0.878 +208890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.444942012,0.878 +208889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.706443749,0.878 +208893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.767865913,0.878 +208894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.06679841,0.878 +208895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.024020378,0.878 +208892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,16.28575586,0.878 +208896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.162294031,0.878 +208897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.640476412,0.878 +208898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.412425076,0.878 +208899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.485892451,0.878 +208900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.114776685,0.878 +208901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-1.643772867,0.878 +208902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-2.30136207,0.878 +208903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.121860045,0.878 +208904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.558451402,0.878 +208905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,19.49854652,0.878 +208906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.763439147,0.878 +208907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.528488614,0.878 +208908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,13.96054771,0.878 +208909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.0264685,0.878 +208910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.670108725,0.878 +208911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.254058879,0.878 +208912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,16.19112858,0.878 +208913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,9.130329594,0.878 +208914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.653762597,0.878 +208915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.807569839,0.878 +208917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,9.698221041,0.878 +208916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.794030857,0.878 +208918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.710788803,0.878 +208919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.506613863,0.878 +208921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.597181704,0.878 +208920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.253656954,0.878 +208922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.867770524,0.878 +208923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.684620578,0.878 +208924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.281033771,0.878 +208926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,10.90629622,0.878 +208925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.845844954,0.878 +208927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.66433769,0.878 +208929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-3.005097046,0.878 +208930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,11.02666157,0.878 +208928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.092509508,0.878 +208932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.046424731,0.878 +208933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.267992609,0.878 +208934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,9.489734894,0.878 +208931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.660268449,0.878 +208937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.217093011,0.878 +208936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.290773711,0.878 +208935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,10.60711275,0.878 +208938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.501475373,0.878 +208939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.517297683,0.878 +208940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.47006193,0.878 +208941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,9.259047393,0.878 +208942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.154880463,0.878 +208943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.983830434,0.878 +208944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,8.408792527,0.878 +208945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-2.613314435,0.878 +208946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-2.509135209,0.878 +208947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,12.97571332,0.878 +208948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.409585235,0.878 +208949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-1.244512691,0.878 +208951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.945920786,0.878 +208950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.667541063,0.878 +208952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.827527457,0.878 +208953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.098834183,0.878 +208955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.193666251,0.878 +208954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,12.77488759,0.878 +208956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.839763121,0.878 +208957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.253192439,0.878 +208959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.209546316,0.878 +208960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-2.124699461,0.878 +208961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.052218819,0.878 +208958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.535600856,0.878 +208962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,13.83636522,0.878 +208963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.968891681,0.878 +208964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.096071327,0.878 +208965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.282701224,0.878 +208966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-0.241305372,0.878 +208967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.276677223,0.878 +208968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.689318904,0.878 +208971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-1.933641011,0.878 +208970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.537927476,0.878 +208972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.684815477,0.878 +208969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-4.405958002,0.878 +208974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.67554394,0.878 +208973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,10.44213738,0.878 +208975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,10.17438593,0.878 +208977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.406795312,0.878 +208978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.379903042,0.878 +208979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.505504726,0.878 +208976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,0.036144619,0.878 +208981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,6.988744784,0.878 +208982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.113052548,0.878 +208983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-1.039568742,0.878 +208980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,7.070410639,0.878 +208984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,10.62227791,0.878 +208987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.040585083,0.878 +208985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.364229934,0.878 +208988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,3.528796171,0.878 +208986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,2.135759522,0.878 +208989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.696808872,0.878 +208990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.360210475,0.878 +208991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.054885487,0.878 +208993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,-2.880547092,0.878 +208994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,9.080399819,0.878 +208995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,4.170519889,0.878 +208992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,9.847464294,0.878 +208996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,1.41366564,0.878 +208997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.749276016,0.878 +208999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.926479241,0.878 +208998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.25668215,0.878 +209000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,9,1,5.711978183,0.878 +9001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.213918667,0.785 +9003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-2.191912616,0.785 +9002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.305128038,0.785 +9005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,14.75691794,0.785 +9006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.158969937,0.785 +9004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.573048992,0.785 +9007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.620204179,0.785 +9009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,14.39724762,0.785 +9010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.843682741,0.785 +9008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.424397537,0.785 +9013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.245469648,0.785 +9011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-3.624691938,0.785 +9014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.470157687,0.785 +9015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.470074606,0.785 +9012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.436445176,0.785 +9017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.450421085,0.785 +9016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,17.30171045,0.785 +9018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,11.29580027,0.785 +9019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.042423965,0.785 +9021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,10.86982863,0.785 +9023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.421294664,0.785 +9020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.338864546,0.785 +9022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.553063199,0.785 +9025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.944452643,0.785 +9024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-4.478472374,0.785 +9026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-4.321800806,0.785 +9027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.471326042,0.785 +9028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.261645054,0.785 +9031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,14.18660753,0.785 +9030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.511811279,0.785 +9032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-5.371278618,0.785 +9033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.279803276,0.785 +9029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.850459568,0.785 +9034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.956982593,0.785 +9038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.024081543,0.785 +9037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.886537005,0.785 +9036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,9.04153924,0.785 +9035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.158838875,0.785 +9040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.7329698,0.785 +9041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.552402825,0.785 +9042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-2.693226982,0.785 +9043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.853862134,0.785 +9039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.585509526,0.785 +9044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,9.974928667,0.785 +9045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.695125647,0.785 +9048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,9.189256061,0.785 +9047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.141720546,0.785 +9046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.871645954,0.785 +9049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,14.11577565,0.785 +9051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.149103275,0.785 +9050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,12.25769957,0.785 +9052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-3.730439639,0.785 +9054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.263905183,0.785 +9053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.418783376,0.785 +9055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.778836446,0.785 +9056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.952637635,0.785 +9058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.348315022,0.785 +9059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.750497093,0.785 +9060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.633755347,0.785 +9057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,11.32652737,0.785 +9062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-7.296730523,0.785 +9063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.579208388,0.785 +9061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.855115454,0.785 +9065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.088422116,0.785 +9064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.378388696,0.785 +9069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.954962531,0.785 +9067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.067027021,0.785 +9066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-5.081316965,0.785 +9068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.134754152,0.785 +9070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.145816222,0.785 +9071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.684470064,0.785 +9072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.858033129,0.785 +9073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.959076949,0.785 +9075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.510834295,0.785 +9076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.535860521,0.785 +9077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.263913654,0.785 +9074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.792185008,0.785 +9079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-2.865998813,0.785 +9080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.095292043,0.785 +9078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.726966302,0.785 +9081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.036800049,0.785 +9083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.758965523,0.785 +9082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.955368155,0.785 +9085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.14696781,0.785 +9086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.610532466,0.785 +9087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,13.63204332,0.785 +9084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.130031992,0.785 +9088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.864446788,0.785 +9089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.846591357,0.785 +9090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.030822024,0.785 +9094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.660050942,0.785 +9093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.843660132,0.785 +9092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,10.0280212,0.785 +9091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.759107075,0.785 +9097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.270113046,0.785 +9098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-8.7200721,0.785 +9096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.023487322,0.785 +9095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.439394242,0.785 +9099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.029650956,0.785 +9102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-2.193697386,0.785 +9100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-2.33218852,0.785 +9101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.034894311,0.785 +9103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.107698976,0.785 +9105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.381102144,0.785 +9104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.536186198,0.785 +9107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-2.022598934,0.785 +9108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,9.429330964,0.785 +9109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.033164452,0.785 +9111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-3.205199195,0.785 +9112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.26193309,0.785 +9106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,10.55176977,0.785 +9110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,10.85097971,0.785 +9115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.207312145,0.785 +9114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.362464537,0.785 +9113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-5.658081928,0.785 +9116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-3.121861223,0.785 +9117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.83219919,0.785 +9118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.792791387,0.785 +9120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.880163677,0.785 +9119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.93509257,0.785 +9122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.739008656,0.785 +9121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.384850813,0.785 +9123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.337600491,0.785 +9124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-3.339488468,0.785 +9125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.057834385,0.785 +9128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.388039197,0.785 +9127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.616935309,0.785 +9129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.267646406,0.785 +9126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.35392609,0.785 +9132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.299769149,0.785 +9131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,10.08417832,0.785 +9130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,10.36032961,0.785 +9133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.501324231,0.785 +9135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,10.20679543,0.785 +9134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.100727105,0.785 +9137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.662034034,0.785 +9138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.101108091,0.785 +9139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,11.2687893,0.785 +9136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.507992364,0.785 +9140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,9.307664976,0.785 +9141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,9.186567245,0.785 +9142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-2.581822195,0.785 +9143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.150678153,0.785 +9146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,16.23354813,0.785 +9147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.445170985,0.785 +9145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.574611528,0.785 +9144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.998904496,0.785 +9148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.090658254,0.785 +9149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.836194873,0.785 +9150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.351832986,0.785 +9151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.641606377,0.785 +9152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.819362627,0.785 +9154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,9.837435937,0.785 +9155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.569327388,0.785 +9156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.585654902,0.785 +9157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.236066699,0.785 +9153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.970010894,0.785 +9158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-3.668780558,0.785 +9161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-3.880670307,0.785 +9159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.6265916,0.785 +9160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.407663792,0.785 +9162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,10.24624473,0.785 +9163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.132443551,0.785 +9164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.659717316,0.785 +9165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-2.320121444,0.785 +9166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.501252446,0.785 +9168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.499841823,0.785 +9167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.912033939,0.785 +9169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-2.786001012,0.785 +9171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.170720867,0.785 +9170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.284799826,0.785 +9173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-2.246399239,0.785 +9172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.611860061,0.785 +9174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.454438341,0.785 +9175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.014569388,0.785 +9176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.090218257,0.785 +9177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.784947648,0.785 +9178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,10.08195097,0.785 +9180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.783263374,0.785 +9181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,13.56164585,0.785 +9179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.232798205,0.785 +9182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.350559879,0.785 +9183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,10.3483553,0.785 +9184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-2.241975204,0.785 +9185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.201467773,0.785 +9186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.194682837,0.785 +9187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.335468901,0.785 +9189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.137000052,0.785 +9188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.240497437,0.785 +9190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.452131985,0.785 +9191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.890696555,0.785 +9194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.635562827,0.785 +9193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.35276216,0.785 +9195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.589572352,0.785 +9196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.854428533,0.785 +9197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.747099371,0.785 +9192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.33015908,0.785 +9198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.313694981,0.785 +9199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.899224078,0.785 +9200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-2.295152023,0.785 +9201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.076121993,0.785 +9202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.977722251,0.785 +9204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,9.447528012,0.785 +9203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.455859219,0.785 +9205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.395977153,0.785 +9206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,12.17614645,0.785 +9207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.540546188,0.785 +9208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,15.17881906,0.785 +9209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.154717362,0.785 +9210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.677315874,0.785 +9212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.600971039,0.785 +9211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.225389341,0.785 +9213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.096440217,0.785 +9216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,9.677225832,0.785 +9215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.637948086,0.785 +9217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-4.538711232,0.785 +9218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.135770697,0.785 +9214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.767035601,0.785 +9220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.679933838,0.785 +9219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.880586974,0.785 +9221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.812634054,0.785 +9224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.912524251,0.785 +9222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.395952714,0.785 +9223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.466453801,0.785 +9226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.342872874,0.785 +9228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.416929717,0.785 +9227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.752038456,0.785 +9225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-3.056700723,0.785 +9230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,13.03689093,0.785 +9229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.979891048,0.785 +9231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.995893822,0.785 +9232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.039355555,0.785 +9234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.594961016,0.785 +9233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.718022572,0.785 +9235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-4.767174615,0.785 +9237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.766711276,0.785 +9238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.323194173,0.785 +9236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.957354599,0.785 +9240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.835527246,0.785 +9239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.016122806,0.785 +9241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,11.64370016,0.785 +9242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.46709661,0.785 +9243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-5.378155469,0.785 +9245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.486637142,0.785 +9246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-6.020940688,0.785 +9247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.240280672,0.785 +9248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.283475611,0.785 +9244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.696205175,0.785 +9252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.154839781,0.785 +9249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,9.218410636,0.785 +9250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.192808841,0.785 +9251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-4.484390339,0.785 +9253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-3.033885825,0.785 +9255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-4.371634613,0.785 +9256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.357524307,0.785 +9254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.478549096,0.785 +9258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.38232382,0.785 +9259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.99657829,0.785 +9260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.011517031,0.785 +9262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.763250827,0.785 +9261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.673616348,0.785 +9257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,11.94714591,0.785 +9263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,9.595635312,0.785 +9266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.298546317,0.785 +9265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.293011269,0.785 +9264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,9.565231398,0.785 +9267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.739032025,0.785 +9268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.068653958,0.785 +9270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.675430594,0.785 +9269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,10.96350918,0.785 +9271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.825600905,0.785 +9272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,9.136959032,0.785 +9274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.876804013,0.785 +9273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.356461901,0.785 +9275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.532818571,0.785 +9277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.483029399,0.785 +9278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.708163415,0.785 +9279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.379364277,0.785 +9280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-2.05798755,0.785 +9276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.987860021,0.785 +9281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,11.62596039,0.785 +9284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-6.00531782,0.785 +9283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.067202052,0.785 +9282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-3.570033308,0.785 +9285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.927902719,0.785 +9287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.835064717,0.785 +9286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.68339313,0.785 +9288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,11.83070124,0.785 +9289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.955041647,0.785 +9291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.961302049,0.785 +9290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.101813615,0.785 +9293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,14.76159729,0.785 +9292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.800828169,0.785 +9295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,18.03058935,0.785 +9294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.645704232,0.785 +9296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.164775378,0.785 +9298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.496456195,0.785 +9299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,10.72746,0.785 +9300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.35219615,0.785 +9297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.842888936,0.785 +9301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.76643969,0.785 +9302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.637420847,0.785 +9303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.723398347,0.785 +9306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-2.424327364,0.785 +9305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.281059739,0.785 +9307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,13.23117771,0.785 +9304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-2.794646523,0.785 +9309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,15.87002362,0.785 +9308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,12.40836799,0.785 +9310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,9.469440192,0.785 +9313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.60985233,0.785 +9312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.096364044,0.785 +9311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-7.577867683,0.785 +9314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.449327176,0.785 +9315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.106325695,0.785 +9316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.797371656,0.785 +9317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.81685089,0.785 +9318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,10.6735526,0.785 +9320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.902247011,0.785 +9319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.694847834,0.785 +9322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.143256786,0.785 +9324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.2975644,0.785 +9323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.178636547,0.785 +9321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-2.712362254,0.785 +9325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.470085167,0.785 +9327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.125497086,0.785 +9326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.094393391,0.785 +9328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.682035053,0.785 +9329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.972709808,0.785 +9330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.146100856,0.785 +9331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.274620263,0.785 +9333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.97388977,0.785 +9332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.140542822,0.785 +9334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,21.43928518,0.785 +9335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.578838553,0.785 +9336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.783813511,0.785 +9337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.252060669,0.785 +9338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,11.17828906,0.785 +9339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.334693309,0.785 +9340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,15.25225108,0.785 +9342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,11.21439104,0.785 +9341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,10.59242399,0.785 +9343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.059216252,0.785 +9344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.942247406,0.785 +9346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.478090576,0.785 +9345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.096203267,0.785 +9348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.47872776,0.785 +9347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.702336148,0.785 +9350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,10.38420799,0.785 +9349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.562051692,0.785 +9351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.628259575,0.785 +9353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-5.453726888,0.785 +9354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.848835823,0.785 +9352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,10.88167358,0.785 +9355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.416117495,0.785 +9356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.061069308,0.785 +9358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.641833803,0.785 +9357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.578116701,0.785 +9359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.85182051,0.785 +9360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.171190654,0.785 +9363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.678689338,0.785 +9362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.326866007,0.785 +9364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.593828352,0.785 +9361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.966294462,0.785 +9365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.05691229,0.785 +9367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.17573179,0.785 +9366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.256641087,0.785 +9369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.011814029,0.785 +9370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.287058162,0.785 +9371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.341124253,0.785 +9368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-3.294147165,0.785 +9372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.316043069,0.785 +9373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.052630019,0.785 +9375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.406238722,0.785 +9374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.943644083,0.785 +9376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.066707745,0.785 +9377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.057622774,0.785 +9378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-3.824634665,0.785 +9379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.067642044,0.785 +9380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.353126275,0.785 +9381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.656846078,0.785 +9384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.389280944,0.785 +9383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.753670241,0.785 +9385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.222810725,0.785 +9386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.820252382,0.785 +9382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.300362549,0.785 +9387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-2.305246548,0.785 +9388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-6.707239208,0.785 +9390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.761169425,0.785 +9389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.820677641,0.785 +9391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.803647276,0.785 +9392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.448422899,0.785 +9393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.777738227,0.785 +9394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.855790871,0.785 +9395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.528092007,0.785 +9396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.057121147,0.785 +9397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.708474188,0.785 +9398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.029116795,0.785 +9399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.560950865,0.785 +9400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,13.88576311,0.785 +9402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.78658687,0.785 +9401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,11.10117488,0.785 +9404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.897821203,0.785 +9405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.193106559,0.785 +9406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.37002199,0.785 +9407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.08803726,0.785 +9408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.814873534,0.785 +9403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-4.732403439,0.785 +9410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.792084716,0.785 +9409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.21451132,0.785 +9411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.435828436,0.785 +9413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.231258009,0.785 +9414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,12.24091245,0.785 +9415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.508649239,0.785 +9412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-5.32137457,0.785 +9416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.940779627,0.785 +9417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.937260921,0.785 +9418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,21.08718806,0.785 +9420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,12.84014436,0.785 +9421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,9.619029453,0.785 +9419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.352846995,0.785 +9423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.652203418,0.785 +9422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.120537354,0.785 +9425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.543235425,0.785 +9424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.591335508,0.785 +9426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.598063655,0.785 +9427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.530324659,0.785 +9429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.994029744,0.785 +9430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.226518511,0.785 +9431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.953962,0.785 +9428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-7.741982483,0.785 +9432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-7.68513263,0.785 +9434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.328508401,0.785 +9435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.327424806,0.785 +9433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.610740295,0.785 +9436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.560600396,0.785 +9437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.144329841,0.785 +9439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-2.840191188,0.785 +9440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.42569919,0.785 +9438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.104680623,0.785 +9441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,10.64777503,0.785 +9442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.259453924,0.785 +9443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.949615064,0.785 +9444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.369653872,0.785 +9445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.312809632,0.785 +9446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.586680302,0.785 +9447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.716322665,0.785 +9449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.236752617,0.785 +9451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-4.002264305,0.785 +9450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.129174014,0.785 +9448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-4.040080638,0.785 +9452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.365582453,0.785 +9453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.962438887,0.785 +9454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.305814308,0.785 +9455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.066075179,0.785 +9456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,10.99834413,0.785 +9457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.213032079,0.785 +9458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.34516583,0.785 +9459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.792637814,0.785 +9460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.172948103,0.785 +9461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.334222509,0.785 +9462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,10.00076274,0.785 +9465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.366055811,0.785 +9466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,11.38597147,0.785 +9463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.613560868,0.785 +9464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.669976475,0.785 +9468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,12.17876405,0.785 +9467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-4.61584044,0.785 +9469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.518675396,0.785 +9471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.472255265,0.785 +9472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.943957154,0.785 +9470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.260757563,0.785 +9473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.372258305,0.785 +9474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.855223602,0.785 +9475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,10.16492527,0.785 +9477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.3816236,0.785 +9478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.717472792,0.785 +9476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-2.144193065,0.785 +9479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.875910465,0.785 +9482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.240377117,0.785 +9480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-2.663909834,0.785 +9483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.760513844,0.785 +9481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-2.534651911,0.785 +9484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.672308384,0.785 +9486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.021707135,0.785 +9487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.48544497,0.785 +9485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.20602689,0.785 +9489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.070435339,0.785 +9490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.916302777,0.785 +9491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.015162763,0.785 +9492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.322854413,0.785 +9488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,10.4346651,0.785 +9493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.008422492,0.785 +9494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.065129442,0.785 +9496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.940376983,0.785 +9497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.256296072,0.785 +9495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.669917901,0.785 +9499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.594596911,0.785 +9500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.852651666,0.785 +9501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,10.54022294,0.785 +9498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-4.082366308,0.785 +9502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.574813939,0.785 +9503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.370191119,0.785 +9504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.245504759,0.785 +9505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.267588734,0.785 +9507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.062755943,0.785 +9508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-2.636150559,0.785 +9506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.158794598,0.785 +9509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.115018527,0.785 +9511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.782870511,0.785 +9512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-7.705805923,0.785 +9510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.151048412,0.785 +9514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,9.002410672,0.785 +9513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,11.18148886,0.785 +9515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.12590413,0.785 +9516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-8.432913002,0.785 +9517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.30849527,0.785 +9519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.27937513,0.785 +9520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.506858567,0.785 +9521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.644013316,0.785 +9523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.576716849,0.785 +9518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.968504605,0.785 +9525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.062927959,0.785 +9522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,9.041376818,0.785 +9526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.164031615,0.785 +9524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.153092752,0.785 +9527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.518071123,0.785 +9528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-2.088533847,0.785 +9529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.576496003,0.785 +9530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.756461031,0.785 +9531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.056007514,0.785 +9532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.96916652,0.785 +9534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,15.8429491,0.785 +9535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.492532328,0.785 +9536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.427083998,0.785 +9533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-3.136984518,0.785 +9537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.773560122,0.785 +9539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.433715847,0.785 +9541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.854708345,0.785 +9538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.154179713,0.785 +9540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.422704548,0.785 +9542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,15.74890948,0.785 +9544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.347168556,0.785 +9543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.023287865,0.785 +9546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-3.092153943,0.785 +9545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.101440905,0.785 +9547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.621404888,0.785 +9548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,10.84199927,0.785 +9549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.16143668,0.785 +9550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,9.718259038,0.785 +9551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.276011759,0.785 +9552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,9.822819367,0.785 +9553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.2137254,0.785 +9555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.143668887,0.785 +9556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.546640962,0.785 +9557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.042015435,0.785 +9554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.534689015,0.785 +9559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,12.07300657,0.785 +9558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,14.21290946,0.785 +9560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-3.021831938,0.785 +9561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-4.744325348,0.785 +9563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,11.63483733,0.785 +9562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,12.70874489,0.785 +9564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.276902341,0.785 +9566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.269945052,0.785 +9567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.498355193,0.785 +9568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.148694051,0.785 +9565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.900972315,0.785 +9569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,12.38118532,0.785 +9570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.315597844,0.785 +9571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.977078256,0.785 +9572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.809060138,0.785 +9573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,12.1737782,0.785 +9575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.17126853,0.785 +9574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.054582385,0.785 +9577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,10.7615014,0.785 +9578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,14.47391708,0.785 +9579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.286093431,0.785 +9580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,13.96767631,0.785 +9581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.723191263,0.785 +9582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.56604467,0.785 +9583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.315088529,0.785 +9576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.929443332,0.785 +9584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,11.9825972,0.785 +9585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.998799398,0.785 +9587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.537864801,0.785 +9586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.512662608,0.785 +9588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.511001135,0.785 +9589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.308206595,0.785 +9590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.316461265,0.785 +9591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.804628516,0.785 +9592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.763662478,0.785 +9595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.304997893,0.785 +9594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.92359112,0.785 +9596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.752943317,0.785 +9593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.832324218,0.785 +9597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-5.498744252,0.785 +9599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,9.656948305,0.785 +9600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.538476488,0.785 +9601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.442179192,0.785 +9603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.291447241,0.785 +9598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.858122648,0.785 +9602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.31831394,0.785 +9604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,10.2461072,0.785 +9605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,10.99255532,0.785 +9606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.330506178,0.785 +9607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.415113259,0.785 +9608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.561565533,0.785 +9610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.455124622,0.785 +9611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.904726976,0.785 +9612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.143867852,0.785 +9613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.605257613,0.785 +9614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.907117076,0.785 +9609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.974685556,0.785 +9615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-2.038062615,0.785 +9618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.088077633,0.785 +9617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.273649567,0.785 +9619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.750795268,0.785 +9616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.380509786,0.785 +9620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.514823144,0.785 +9621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.242944519,0.785 +9622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.987202409,0.785 +9623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.092585702,0.785 +9624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.300387229,0.785 +9625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.493503331,0.785 +9627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.359860938,0.785 +9626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.991485119,0.785 +9629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.84145001,0.785 +9630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,10.36160866,0.785 +9631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.179165861,0.785 +9632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.359417988,0.785 +9628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.768632441,0.785 +9633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.226091735,0.785 +9634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.505547591,0.785 +9636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.895155535,0.785 +9635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.089792019,0.785 +9637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.540395065,0.785 +9639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.334147302,0.785 +9640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.580317272,0.785 +9638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.558696304,0.785 +9641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.746906204,0.785 +9643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,9.512282054,0.785 +9642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,9.095122656,0.785 +9644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-4.666221159,0.785 +9645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.05493921,0.785 +9646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.970518118,0.785 +9648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.328645334,0.785 +9647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-3.08520844,0.785 +9650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.517135941,0.785 +9652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.733866153,0.785 +9653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.438235149,0.785 +9649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.122074449,0.785 +9654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.124404614,0.785 +9655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.785478852,0.785 +9656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.115056568,0.785 +9651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.317057136,0.785 +9657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.125200192,0.785 +9658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,15.26675209,0.785 +9659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,11.36645511,0.785 +9660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-6.211388074,0.785 +9663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.068253393,0.785 +9661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-2.502238367,0.785 +9662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.914231923,0.785 +9664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-7.2407101,0.785 +9666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,10.10162624,0.785 +9667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.72915788,0.785 +9665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.297729369,0.785 +9669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,17.8791358,0.785 +9670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.320437156,0.785 +9671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.94744053,0.785 +9672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.53236879,0.785 +9673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.341516054,0.785 +9668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.346161578,0.785 +9674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.105567854,0.785 +9675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.266667031,0.785 +9676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.955403021,0.785 +9677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.135214659,0.785 +9678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.078335412,0.785 +9679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.073618616,0.785 +9680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.95846617,0.785 +9682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-2.702176784,0.785 +9681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.530617598,0.785 +9684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,12.47738988,0.785 +9683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.588537736,0.785 +9686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,10.92766192,0.785 +9687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,16.75436434,0.785 +9688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.67900361,0.785 +9685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.411224375,0.785 +9690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.534213104,0.785 +9691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.209932547,0.785 +9692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.165520267,0.785 +9694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.416738982,0.785 +9689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.330778279,0.785 +9693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.947344078,0.785 +9695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.856137709,0.785 +9696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.14786702,0.785 +9697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.106469303,0.785 +9698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,11.79341305,0.785 +9699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.362724516,0.785 +9700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.347995415,0.785 +9702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.608282204,0.785 +9701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,9.361843821,0.785 +9704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,9.565136275,0.785 +9705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.022078728,0.785 +9706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.684837792,0.785 +9703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-4.023062539,0.785 +9708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.953231633,0.785 +9710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.78463409,0.785 +9707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-5.263766167,0.785 +9709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.876294906,0.785 +9711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.513243715,0.785 +9713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.382174864,0.785 +9712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.81120788,0.785 +9714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.365185291,0.785 +9715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.393109232,0.785 +9717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.633218229,0.785 +9716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.608251082,0.785 +9718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-6.453848618,0.785 +9719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-2.235022982,0.785 +9720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,16.15745635,0.785 +9722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.40938903,0.785 +9723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,13.37951918,0.785 +9724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.612489198,0.785 +9721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,9.642197065,0.785 +9725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.382972735,0.785 +9727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,11.21204026,0.785 +9728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,18.06758635,0.785 +9726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,11.70892674,0.785 +9729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.843856113,0.785 +9730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-4.687789519,0.785 +9731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.563596431,0.785 +9734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.662715251,0.785 +9733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,13.02686319,0.785 +9735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.083954432,0.785 +9732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.38227693,0.785 +9736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,10.19389527,0.785 +9738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,9.567576001,0.785 +9737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.625158054,0.785 +9739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.677516222,0.785 +9740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.83689501,0.785 +9743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.91926358,0.785 +9741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,10.620069,0.785 +9742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.708989156,0.785 +9744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.549344577,0.785 +9746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.294590348,0.785 +9747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.600139764,0.785 +9748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.923978225,0.785 +9749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.552257824,0.785 +9745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.425224394,0.785 +9751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,9.470726909,0.785 +9750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.64738738,0.785 +9752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.901514673,0.785 +9753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.562049349,0.785 +9757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.03812492,0.785 +9754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,14.7675623,0.785 +9756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.679362346,0.785 +9755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-3.476843211,0.785 +9758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.580077528,0.785 +9759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.020665406,0.785 +9760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.305222563,0.785 +9763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.372399543,0.785 +9764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.785782658,0.785 +9761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.33687369,0.785 +9765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.185254269,0.785 +9766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.685422225,0.785 +9762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-2.191477072,0.785 +9767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.465622374,0.785 +9770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.256182783,0.785 +9769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.349414563,0.785 +9768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,25.25414869,0.785 +9771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.776614747,0.785 +9772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,14.54804794,0.785 +9774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.760216598,0.785 +9773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.068292541,0.785 +9776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.420175231,0.785 +9777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.308861141,0.785 +9778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,10.51331487,0.785 +9775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.914525013,0.785 +9779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.853050677,0.785 +9780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.33226247,0.785 +9781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.435627195,0.785 +9782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.156028782,0.785 +9784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,12.45021873,0.785 +9785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,9.267221802,0.785 +9783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.840222949,0.785 +9787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.51333035,0.785 +9786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.482066992,0.785 +9788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.746750499,0.785 +9789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.191858743,0.785 +9790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.609894334,0.785 +9791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,13.33824468,0.785 +9792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.289152509,0.785 +9793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.342438443,0.785 +9794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.959075352,0.785 +9796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-6.322638314,0.785 +9797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.201187782,0.785 +9798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.588596271,0.785 +9795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.851111881,0.785 +9799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.08172392,0.785 +9800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.744205245,0.785 +9801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.554684345,0.785 +9803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.3969649,0.785 +9802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.176444437,0.785 +9804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.290831796,0.785 +9805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,14.1490613,0.785 +9806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.84479425,0.785 +9807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.024978521,0.785 +9808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.630220087,0.785 +9809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.64820988,0.785 +9810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.952093535,0.785 +9811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.135330201,0.785 +9812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-2.14532188,0.785 +9814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-5.451908576,0.785 +9813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.515665745,0.785 +9818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.106035658,0.785 +9816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.990707865,0.785 +9817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,11.77206797,0.785 +9815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.129156483,0.785 +9819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.029175284,0.785 +9820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,9.084346082,0.785 +9822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.522576518,0.785 +9821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.363432037,0.785 +9823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.613007938,0.785 +9824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.039059948,0.785 +9825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.727470213,0.785 +9827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-4.236294706,0.785 +9828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,10.34205613,0.785 +9826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.386624008,0.785 +9829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,10.99111775,0.785 +9831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,17.74604368,0.785 +9830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.934658268,0.785 +9832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.559833874,0.785 +9835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.42002191,0.785 +9833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.638748671,0.785 +9834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.702343769,0.785 +9836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.877586501,0.785 +9837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.927257221,0.785 +9838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.994147376,0.785 +9839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.795954846,0.785 +9841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.923246688,0.785 +9842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.104414112,0.785 +9843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.13313777,0.785 +9840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,10.79123761,0.785 +9846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.380741858,0.785 +9844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,13.64892113,0.785 +9847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.157211363,0.785 +9845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.951533663,0.785 +9849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.151375733,0.785 +9850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.517322871,0.785 +9851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-2.512300082,0.785 +9852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-3.472795258,0.785 +9853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.741540452,0.785 +9848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.385155575,0.785 +9854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.001869851,0.785 +9855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.294611576,0.785 +9857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.659985963,0.785 +9860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-2.173375837,0.785 +9858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-6.505791192,0.785 +9856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.849746715,0.785 +9859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.174735811,0.785 +9861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.036591322,0.785 +9863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.452057095,0.785 +9864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.508600364,0.785 +9866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.757208655,0.785 +9862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.092548839,0.785 +9867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,10.0058523,0.785 +9868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-10.69455661,0.785 +9865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.607791423,0.785 +9870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.706795057,0.785 +9869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.82009054,0.785 +9873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.767783828,0.785 +9872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.867895191,0.785 +9874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.549727412,0.785 +9871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.133989183,0.785 +9876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.32493542,0.785 +9875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.831890821,0.785 +9877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.420135746,0.785 +9879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.423021763,0.785 +9878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.938841885,0.785 +9880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.930503935,0.785 +9882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.796460701,0.785 +9883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.201159177,0.785 +9884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.188314479,0.785 +9886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.788299927,0.785 +9881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.688356185,0.785 +9887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,13.56203228,0.785 +9885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.91759389,0.785 +9889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.86017291,0.785 +9888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.185340901,0.785 +9891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.006729824,0.785 +9890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.056685468,0.785 +9892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.063573886,0.785 +9894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.443523247,0.785 +9893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.277722345,0.785 +9895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.20790758,0.785 +9897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.590302086,0.785 +9898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.931776278,0.785 +9899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.962154803,0.785 +9896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.679398891,0.785 +9901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-4.824031309,0.785 +9902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.47300677,0.785 +9900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.425797231,0.785 +9904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.540231532,0.785 +9903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.653619157,0.785 +9905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.163185436,0.785 +9906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.869800096,0.785 +9907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,9.854835705,0.785 +9908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.223853672,0.785 +9909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-3.657081725,0.785 +9910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.254719524,0.785 +9911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-6.570163383,0.785 +9913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.637270292,0.785 +9912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.323330144,0.785 +9914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.466657758,0.785 +9915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.871501503,0.785 +9916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,14.36328255,0.785 +9918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.453862359,0.785 +9919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.959513266,0.785 +9920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.745836904,0.785 +9917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-6.827455395,0.785 +9921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,9.826183417,0.785 +9923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.047996243,0.785 +9922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.334551521,0.785 +9924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.4469435,0.785 +9925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-6.131353811,0.785 +9926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.947054538,0.785 +9927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.868957036,0.785 +9928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.612882246,0.785 +9929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.021961744,0.785 +9930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.934353625,0.785 +9931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.747888862,0.785 +9933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.400803642,0.785 +9934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.096637402,0.785 +9935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.370200077,0.785 +9932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.867105885,0.785 +9937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.038998281,0.785 +9936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.921983264,0.785 +9940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.785113488,0.785 +9941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.136248408,0.785 +9938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.754394478,0.785 +9939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.351244096,0.785 +9942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.18692201,0.785 +9943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.407159555,0.785 +9945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.81680802,0.785 +9946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.77906059,0.785 +9947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.77320043,0.785 +9944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,2.748855474,0.785 +9948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,7.185931927,0.785 +9951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.728229178,0.785 +9950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.268140482,0.785 +9949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,12.3808524,0.785 +9953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.819173927,0.785 +9955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.566086892,0.785 +9954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,1.584325181,0.785 +9952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,11.28105905,0.785 +9958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-2.630852787,0.785 +9957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.801857415,0.785 +9956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-2.55836371,0.785 +9959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.618800119,0.785 +9961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.907478226,0.785 +9960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,9.081872242,0.785 +9964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,10.49432208,0.785 +9963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.341413034,0.785 +9962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.230041024,0.785 +9965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-2.147235799,0.785 +9969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.845590576,0.785 +9968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.838423241,0.785 +9967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.485294706,0.785 +9966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,12.03455929,0.785 +9971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.632261186,0.785 +9972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.064438597,0.785 +9973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.329865294,0.785 +9974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,4.499551443,0.785 +9975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.628879144,0.785 +9976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.336142088,0.785 +9970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.097633377,0.785 +9978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.593992214,0.785 +9979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,9.578819218,0.785 +9980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.241764605,0.785 +9977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,10.3160847,0.785 +9981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.785564949,0.785 +9983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.325250676,0.785 +9982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.774478298,0.785 +9984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.318638964,0.785 +9985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-0.059929269,0.785 +9987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.083308226,0.785 +9986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,5.359665445,0.785 +9988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,12.99733354,0.785 +9989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-1.85822363,0.785 +9990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.729718522,0.785 +9992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.236620246,0.785 +9993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,8.837283798,0.785 +9994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.727983963,0.785 +9991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,0.98983387,0.785 +9995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,9.436587855,0.785 +9996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,3.312057718,0.785 +9997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,22.59478484,0.785 +9998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,-5.234998115,0.785 +9999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,9.511914358,0.785 +10000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-1,10,1,6.870164058,0.785 +19002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.614773239,0.869 +19003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.567187036,0.869 +19001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.047638338,0.869 +19004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.157867002,0.869 +19005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.925044502,0.869 +19006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,12.02179499,0.869 +19007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.312933272,0.869 +19009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.114177541,0.869 +19010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.119230777,0.869 +19008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.047031833,0.869 +19013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.027114948,0.869 +19011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.448497466,0.869 +19014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.213701334,0.869 +19012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.021082693,0.869 +19016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.548850917,0.869 +19018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.203390408,0.869 +19017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-1.471418761,0.869 +19015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.754873863,0.869 +19019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.345725971,0.869 +19020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.115887468,0.869 +19023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.597013361,0.869 +19022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.006240681,0.869 +19024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.468775735,0.869 +19021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.583811787,0.869 +19026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.676678938,0.869 +19025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.283139536,0.869 +19027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.664756734,0.869 +19029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.915778425,0.869 +19028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-1.889504025,0.869 +19030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.18571268,0.869 +19031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.752869961,0.869 +19033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.18737967,0.869 +19034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,11.48903992,0.869 +19035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.197534201,0.869 +19032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.391946938,0.869 +19036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.797607301,0.869 +19037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.932685829,0.869 +19038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.595148351,0.869 +19039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.389281114,0.869 +19041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.905348513,0.869 +19042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.255977901,0.869 +19043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.976653798,0.869 +19040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.451229834,0.869 +19044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.751734796,0.869 +19045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.068086227,0.869 +19046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.42908695,0.869 +19048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.928315641,0.869 +19047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.022261808,0.869 +19049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.387000515,0.869 +19050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.082565815,0.869 +19051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.336617588,0.869 +19052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.715919405,0.869 +19053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.349272565,0.869 +19054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.602142454,0.869 +19056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.388590594,0.869 +19057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.456546585,0.869 +19058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.874883337,0.869 +19055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.587592142,0.869 +19059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.544233474,0.869 +19060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.346830138,0.869 +19061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.693480026,0.869 +19062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.264877841,0.869 +19064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.409588193,0.869 +19063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.462065423,0.869 +19065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.356802027,0.869 +19066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.250931166,0.869 +19067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,12.02325315,0.869 +19068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.897838768,0.869 +19069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,9.965856453,0.869 +19070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.089261362,0.869 +19071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.182297539,0.869 +19073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.481942294,0.869 +19075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.702743349,0.869 +19074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.398061386,0.869 +19072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.330265468,0.869 +19076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,12.60793454,0.869 +19077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.345235777,0.869 +19078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,15.82612268,0.869 +19080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.479167973,0.869 +19079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,13.12823791,0.869 +19081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.599010249,0.869 +19082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.791126262,0.869 +19083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.470694434,0.869 +19084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.181041373,0.869 +19085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-2.303466445,0.869 +19086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.89891034,0.869 +19087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.413106655,0.869 +19088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.08598126,0.869 +19091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.445672789,0.869 +19090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-3.062222874,0.869 +19089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.338269222,0.869 +19093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.074550158,0.869 +19094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.247927503,0.869 +19092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,10.26221164,0.869 +19095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.677236102,0.869 +19096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.794649653,0.869 +19097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.415352147,0.869 +19099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,9.069335948,0.869 +19100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.504670301,0.869 +19098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,12.48662553,0.869 +19101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.67072752,0.869 +19102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.111711276,0.869 +19103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.618600852,0.869 +19104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-3.129404866,0.869 +19105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.53763472,0.869 +19107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.960897871,0.869 +19108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.011788084,0.869 +19109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.253044665,0.869 +19106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.122213681,0.869 +19110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.121268263,0.869 +19112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-1.187986996,0.869 +19113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,14.82504777,0.869 +19114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.389790887,0.869 +19115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.951761023,0.869 +19116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.701307931,0.869 +19111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.099585579,0.869 +19117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.448373824,0.869 +19118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.329667746,0.869 +19119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.356547232,0.869 +19120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.330862572,0.869 +19121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.08181539,0.869 +19123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.403174827,0.869 +19125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.425221762,0.869 +19122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.21333899,0.869 +19124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.553943843,0.869 +19127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.41951863,0.869 +19128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.899092371,0.869 +19129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,10.2409994,0.869 +19126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.294498598,0.869 +19130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.820284695,0.869 +19131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.694712355,0.869 +19133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.767887234,0.869 +19135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.208020505,0.869 +19136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.123162792,0.869 +19134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.406970106,0.869 +19132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,10.08004805,0.869 +19138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-1.042187481,0.869 +19140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.86594188,0.869 +19139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.101226656,0.869 +19137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.483083551,0.869 +19142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.62121835,0.869 +19143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.91752059,0.869 +19144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.535775574,0.869 +19141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.93008803,0.869 +19146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,14.8767243,0.869 +19145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.02179762,0.869 +19147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.801702363,0.869 +19149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-4.873824138,0.869 +19148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.401054938,0.869 +19151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.853342554,0.869 +19150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.463718184,0.869 +19152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.354146773,0.869 +19153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.304622783,0.869 +19154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.068489118,0.869 +19156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.528002333,0.869 +19157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.437427691,0.869 +19155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.169077185,0.869 +19160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.571463261,0.869 +19159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.961956489,0.869 +19158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.307809125,0.869 +19161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.942974646,0.869 +19163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.691093851,0.869 +19165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.326041897,0.869 +19164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.069375915,0.869 +19162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.134354456,0.869 +19166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.951547068,0.869 +19168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.444578352,0.869 +19169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.299957601,0.869 +19170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,11.44713057,0.869 +19171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,13.32935315,0.869 +19172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.449651628,0.869 +19167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.585592139,0.869 +19173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.801280744,0.869 +19175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.438831632,0.869 +19177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.132238887,0.869 +19176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.422121259,0.869 +19174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.003375921,0.869 +19178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.717364221,0.869 +19179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.647629284,0.869 +19180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.581524707,0.869 +19181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,12.51858795,0.869 +19182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,10.10872392,0.869 +19183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.786615612,0.869 +19184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.873053971,0.869 +19185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,15.53499473,0.869 +19186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.676587412,0.869 +19187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.265600379,0.869 +19189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-1.184592458,0.869 +19190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.551246372,0.869 +19191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.294137878,0.869 +19193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.346575519,0.869 +19188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.724780729,0.869 +19192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.399520035,0.869 +19194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.463598011,0.869 +19195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.591259353,0.869 +19196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,10.57765575,0.869 +19197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.185038266,0.869 +19198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.121597651,0.869 +19199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.759192858,0.869 +19200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.261513544,0.869 +19201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.640831247,0.869 +19202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-2.603487111,0.869 +19203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.935792967,0.869 +19205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.116608817,0.869 +19206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.406506728,0.869 +19207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.539762703,0.869 +19208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.030650667,0.869 +19209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.979330646,0.869 +19204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.019826008,0.869 +19210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.082703421,0.869 +19212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.3441628,0.869 +19211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.388918286,0.869 +19213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,14.38536382,0.869 +19214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.461937374,0.869 +19215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,11.10085684,0.869 +19216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.823774405,0.869 +19217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.944255204,0.869 +19219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.971588301,0.869 +19218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.036977986,0.869 +19220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.746673191,0.869 +19221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.954812114,0.869 +19223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.438457952,0.869 +19222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.187363949,0.869 +19224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.890463313,0.869 +19226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.98726344,0.869 +19225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.934109129,0.869 +19227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.169469564,0.869 +19229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.905969949,0.869 +19231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.226544016,0.869 +19230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.602491172,0.869 +19228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.534862563,0.869 +19233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.67485703,0.869 +19232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.226042843,0.869 +19234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.37891355,0.869 +19237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,11.38212223,0.869 +19236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.249048995,0.869 +19235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.353188967,0.869 +19238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.850232528,0.869 +19240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.28100557,0.869 +19239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.769019822,0.869 +19241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.503506194,0.869 +19242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-2.321416754,0.869 +19243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.753534707,0.869 +19244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.129175665,0.869 +19245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.423559912,0.869 +19246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-1.094678622,0.869 +19247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.235273593,0.869 +19248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.406427119,0.869 +19251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,9.500716184,0.869 +19252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.331797256,0.869 +19250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.124678101,0.869 +19249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.337007973,0.869 +19254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.393729717,0.869 +19255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.078792166,0.869 +19253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.539270504,0.869 +19256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.342791349,0.869 +19259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.381953061,0.869 +19258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,10.19392534,0.869 +19257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,9.168411981,0.869 +19260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.004599864,0.869 +19261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.614537616,0.869 +19262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.047653508,0.869 +19263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.979978816,0.869 +19264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.940510391,0.869 +19265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.000845969,0.869 +19266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,10.53216451,0.869 +19267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,11.04249272,0.869 +19269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.48216555,0.869 +19271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,13.71474221,0.869 +19270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.841706384,0.869 +19268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.095985862,0.869 +19272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.9715399,0.869 +19273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,9.779861859,0.869 +19275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.982724463,0.869 +19274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.133013243,0.869 +19276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-5.066173524,0.869 +19277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.684550719,0.869 +19278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.690621869,0.869 +19280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.011439734,0.869 +19281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.376746907,0.869 +19279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.394010499,0.869 +19282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.337907113,0.869 +19283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.085397598,0.869 +19284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.228373059,0.869 +19285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.903112467,0.869 +19286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.859503699,0.869 +19287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.711268999,0.869 +19288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.038423324,0.869 +19289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.035384087,0.869 +19290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.80119198,0.869 +19291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.975689174,0.869 +19292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-1.24831179,0.869 +19294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.567037384,0.869 +19295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.82652539,0.869 +19296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.455285757,0.869 +19297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.362823225,0.869 +19293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.080897291,0.869 +19298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.426189258,0.869 +19299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.639453216,0.869 +19300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.132671005,0.869 +19302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-1.606664056,0.869 +19301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.140380398,0.869 +19303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-1.119421649,0.869 +19304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.771708537,0.869 +19305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.667639218,0.869 +19306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.046313315,0.869 +19307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.505243546,0.869 +19308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.680130838,0.869 +19309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.31404093,0.869 +19310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.334904964,0.869 +19311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.868657655,0.869 +19312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.719573812,0.869 +19313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.346781567,0.869 +19315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.894013486,0.869 +19316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.789927896,0.869 +19317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.098803594,0.869 +19318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,13.42611014,0.869 +19314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.931787223,0.869 +19319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.264028057,0.869 +19321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.265620178,0.869 +19323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-2.868082607,0.869 +19324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.400012871,0.869 +19320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-1.070526386,0.869 +19322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.747670714,0.869 +19325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.561298049,0.869 +19326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.117131818,0.869 +19329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,15.15195615,0.869 +19328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.683635787,0.869 +19327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.086743858,0.869 +19330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.181263056,0.869 +19331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.504193033,0.869 +19333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.28866174,0.869 +19332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.834714846,0.869 +19334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.913125058,0.869 +19335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.751785126,0.869 +19336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.438878423,0.869 +19338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.197236906,0.869 +19339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.349005766,0.869 +19337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.160085094,0.869 +19341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.931825539,0.869 +19342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.921166259,0.869 +19343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.944123399,0.869 +19340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.199440225,0.869 +19344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.502579715,0.869 +19345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.97092463,0.869 +19346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.35940843,0.869 +19348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.645103882,0.869 +19347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.149131387,0.869 +19349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,10.25966002,0.869 +19350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.855593061,0.869 +19351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.434611257,0.869 +19352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.364483398,0.869 +19353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.492528667,0.869 +19354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.196157778,0.869 +19355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.380464774,0.869 +19356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.936820548,0.869 +19357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.142043986,0.869 +19359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.148602346,0.869 +19358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.21924712,0.869 +19361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.565372524,0.869 +19363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,11.67200893,0.869 +19360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.284251648,0.869 +19362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,11.4373875,0.869 +19364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.818080839,0.869 +19366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-1.180097089,0.869 +19367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.065815037,0.869 +19368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,16.00736476,0.869 +19370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.4920622,0.869 +19369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.277519211,0.869 +19365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.303493621,0.869 +19371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.253930532,0.869 +19372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.47482585,0.869 +19373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.247732624,0.869 +19375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.433023027,0.869 +19374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,9.17668486,0.869 +19376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,14.50757022,0.869 +19377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.516093472,0.869 +19378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,15.77126742,0.869 +19379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.137934422,0.869 +19380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.63742457,0.869 +19381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,13.80076216,0.869 +19382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.879134404,0.869 +19384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.539841402,0.869 +19385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.160915155,0.869 +19386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.257058316,0.869 +19387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.349071441,0.869 +19388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-1.950105174,0.869 +19383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.483685043,0.869 +19389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-1.245954117,0.869 +19390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.091059877,0.869 +19391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.734188996,0.869 +19393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.840192034,0.869 +19392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.723368524,0.869 +19394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.299990784,0.869 +19395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.241035097,0.869 +19396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.593592559,0.869 +19398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.541157746,0.869 +19397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,11.10489714,0.869 +19399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.878400675,0.869 +19400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-2.845663662,0.869 +19401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.323182833,0.869 +19402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.500834118,0.869 +19403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.12428701,0.869 +19404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.018880616,0.869 +19405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.157884174,0.869 +19407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,13.38251152,0.869 +19408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.180522656,0.869 +19409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.956710482,0.869 +19406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.414650368,0.869 +19410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.9737114,0.869 +19411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.701514942,0.869 +19412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.211421198,0.869 +19414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.416663559,0.869 +19415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.483605963,0.869 +19413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.175753749,0.869 +19416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.789802551,0.869 +19418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.371602177,0.869 +19417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.453692208,0.869 +19419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,10.06635097,0.869 +19420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.793780448,0.869 +19421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.019530866,0.869 +19422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.852685809,0.869 +19423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,9.431888292,0.869 +19426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,10.65428836,0.869 +19425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,10.88537978,0.869 +19424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,9.817627101,0.869 +19429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.713335492,0.869 +19428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.339174829,0.869 +19431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.086809814,0.869 +19432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.481928223,0.869 +19427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.299248909,0.869 +19430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.144322798,0.869 +19434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.844349721,0.869 +19433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.671440726,0.869 +19435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.533040051,0.869 +19438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,10.80710425,0.869 +19436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,16.4025655,0.869 +19437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.002089522,0.869 +19439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.566463008,0.869 +19441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,12.33414992,0.869 +19443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.276318552,0.869 +19440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.607100699,0.869 +19442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.548326885,0.869 +19444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-1.038074142,0.869 +19447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.42172202,0.869 +19446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-2.683180501,0.869 +19450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.407933219,0.869 +19449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.384903527,0.869 +19448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.276280601,0.869 +19445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.23983664,0.869 +19451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.146954981,0.869 +19452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-1.851326463,0.869 +19453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.436911336,0.869 +19454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,11.10106087,0.869 +19457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.554965126,0.869 +19455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.860077174,0.869 +19456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.232983861,0.869 +19458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.085018904,0.869 +19459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.535242804,0.869 +19461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,12.30443605,0.869 +19460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.50445941,0.869 +19464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-1.01546425,0.869 +19465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.305248049,0.869 +19462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.307443989,0.869 +19463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.287679148,0.869 +19466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.945013644,0.869 +19467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.186513771,0.869 +19469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.869626672,0.869 +19468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.209557873,0.869 +19470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.165242023,0.869 +19472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.145354668,0.869 +19471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,11.11217221,0.869 +19473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.674732915,0.869 +19474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-1.815198561,0.869 +19476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.662456624,0.869 +19475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.060164476,0.869 +19478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.131520378,0.869 +19477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.129863318,0.869 +19480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.541676391,0.869 +19481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.380501177,0.869 +19483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.339065723,0.869 +19479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.936453382,0.869 +19485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.97841744,0.869 +19482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.447786197,0.869 +19486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,9.447686148,0.869 +19484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.426886733,0.869 +19488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.964907926,0.869 +19489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.157247267,0.869 +19487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.033227169,0.869 +19490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.601438101,0.869 +19491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.566310433,0.869 +19492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.152382545,0.869 +19493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.899958753,0.869 +19494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.245667042,0.869 +19497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-1.724765215,0.869 +19495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.597266578,0.869 +19498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.730398962,0.869 +19496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.677915821,0.869 +19499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.72953293,0.869 +19501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.514685584,0.869 +19500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,14.36279701,0.869 +19502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.357580534,0.869 +19503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.964858436,0.869 +19504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.992154262,0.869 +19506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.316955299,0.869 +19507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.248679267,0.869 +19505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.731394676,0.869 +19508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.941258699,0.869 +19509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.484020677,0.869 +19510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,17.96272453,0.869 +19512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.944632945,0.869 +19513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.174405674,0.869 +19511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.608307616,0.869 +19514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.347359936,0.869 +19515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.092255899,0.869 +19517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.010200828,0.869 +19518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.576898839,0.869 +19516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.239725047,0.869 +19519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.181778121,0.869 +19521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.547777875,0.869 +19522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.269199405,0.869 +19523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.337615764,0.869 +19524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.15102959,0.869 +19525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,10.83304728,0.869 +19526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.062154133,0.869 +19527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.549492471,0.869 +19528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.952794472,0.869 +19520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-1.04538713,0.869 +19529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,11.60462884,0.869 +19530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.279002258,0.869 +19532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.194693937,0.869 +19531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.235819053,0.869 +19533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.74225668,0.869 +19534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.918348882,0.869 +19535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.847530612,0.869 +19537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.618301014,0.869 +19536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.808467265,0.869 +19538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.323469575,0.869 +19539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.259527322,0.869 +19540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.853796722,0.869 +19541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.306516731,0.869 +19542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.792668165,0.869 +19544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.996365742,0.869 +19545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.705247462,0.869 +19546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.949557466,0.869 +19547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-1.957608208,0.869 +19548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.346851753,0.869 +19543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.453164214,0.869 +19549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.480598864,0.869 +19550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.144985349,0.869 +19551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.211196036,0.869 +19552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.77181931,0.869 +19553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.953150718,0.869 +19554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.239615039,0.869 +19555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.161562808,0.869 +19556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.790722405,0.869 +19558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.27749779,0.869 +19557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.188318329,0.869 +19559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.80611996,0.869 +19561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.125396188,0.869 +19562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.504602745,0.869 +19563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,10.01162982,0.869 +19560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.206961339,0.869 +19567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.405385991,0.869 +19564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.937806438,0.869 +19566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,9.032144614,0.869 +19568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.71911949,0.869 +19569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.227784711,0.869 +19570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-4.359075953,0.869 +19565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.904883332,0.869 +19572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.572086693,0.869 +19573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.156862975,0.869 +19571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.820868594,0.869 +19574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.464211523,0.869 +19575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.57254094,0.869 +19576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.247457842,0.869 +19577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-1.098293329,0.869 +19578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.195482713,0.869 +19580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.623962986,0.869 +19579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-3.474316873,0.869 +19581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.655330105,0.869 +19582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-1.013800075,0.869 +19584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.301008259,0.869 +19583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.121918909,0.869 +19586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.273759876,0.869 +19585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.480602855,0.869 +19587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.006847393,0.869 +19588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.748741845,0.869 +19591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.612951861,0.869 +19590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.356280889,0.869 +19592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.699700405,0.869 +19589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.382093972,0.869 +19595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.992062977,0.869 +19593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.687844857,0.869 +19594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.380396475,0.869 +19596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.670546392,0.869 +19597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.400265064,0.869 +19598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.908231248,0.869 +19599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.193301428,0.869 +19600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.257837438,0.869 +19602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.879273727,0.869 +19601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.721510569,0.869 +19604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.691168482,0.869 +19606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.243357559,0.869 +19605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.950975093,0.869 +19603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.728951947,0.869 +19609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.090918266,0.869 +19608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,13.79675474,0.869 +19607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.552874759,0.869 +19610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.265276116,0.869 +19612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.162591808,0.869 +19611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.357307842,0.869 +19613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.594018225,0.869 +19615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.630220505,0.869 +19616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.308796739,0.869 +19617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,11.03698576,0.869 +19618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.632935064,0.869 +19619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-2.50694493,0.869 +19620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,10.26707354,0.869 +19614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.773520592,0.869 +19622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,9.13533264,0.869 +19621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.272781325,0.869 +19623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.149700386,0.869 +19624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.365176134,0.869 +19626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,9.043151502,0.869 +19625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.020154112,0.869 +19627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.279322158,0.869 +19628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.671096876,0.869 +19629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.244666397,0.869 +19630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.052695571,0.869 +19631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-2.891055477,0.869 +19633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.079403916,0.869 +19634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.131789271,0.869 +19635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.212713419,0.869 +19636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.552010493,0.869 +19637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.602095293,0.869 +19632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.490450195,0.869 +19638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.721292639,0.869 +19639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.785513348,0.869 +19640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.50051491,0.869 +19641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.133315595,0.869 +19642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.078708296,0.869 +19645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,12.44133865,0.869 +19643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.626089567,0.869 +19644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.829736623,0.869 +19646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,13.60619406,0.869 +19647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.86782744,0.869 +19648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.541304712,0.869 +19649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.791341665,0.869 +19650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,16.30037559,0.869 +19652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.237324454,0.869 +19653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.642946944,0.869 +19654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.498136446,0.869 +19655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.577384747,0.869 +19651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.290008014,0.869 +19657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,12.54322859,0.869 +19658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.916765101,0.869 +19656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,11.23608564,0.869 +19659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.752567568,0.869 +19660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.222077778,0.869 +19661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.805226912,0.869 +19663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.056373396,0.869 +19662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.267969655,0.869 +19664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.700632602,0.869 +19665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.509866812,0.869 +19666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.999109227,0.869 +19668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.592469573,0.869 +19667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.612566773,0.869 +19669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,12.0309625,0.869 +19670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.330114659,0.869 +19672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.851528303,0.869 +19671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.438974521,0.869 +19673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,10.76789697,0.869 +19674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.181498006,0.869 +19675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.675164391,0.869 +19676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.579787832,0.869 +19677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-2.277402103,0.869 +19679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.079721529,0.869 +19678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.70734909,0.869 +19680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,14.05567056,0.869 +19682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.36382834,0.869 +19684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-1.428011647,0.869 +19683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.71644641,0.869 +19681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-1.803396303,0.869 +19685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.833073411,0.869 +19686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.143301485,0.869 +19687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.569295256,0.869 +19688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.866077158,0.869 +19689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.697262901,0.869 +19690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.565574775,0.869 +19692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.443990737,0.869 +19693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.261146491,0.869 +19691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.58852554,0.869 +19694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.301776998,0.869 +19695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.00596045,0.869 +19696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,9.316476916,0.869 +19698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.08595515,0.869 +19697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-1.712251078,0.869 +19700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,9.398664429,0.869 +19699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.637604127,0.869 +19702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.537640804,0.869 +19701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.657647261,0.869 +19703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.326718813,0.869 +19704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,14.84419983,0.869 +19706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.272091809,0.869 +19707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.769533393,0.869 +19708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.694540359,0.869 +19709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.043267636,0.869 +19705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.03250943,0.869 +19710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.65054633,0.869 +19711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.092211908,0.869 +19712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.341212769,0.869 +19714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-2.309131819,0.869 +19713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,13.66269291,0.869 +19715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,12.26341832,0.869 +19716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.008330419,0.869 +19718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.776471791,0.869 +19717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.148485,0.869 +19719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,10.14346505,0.869 +19720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.221069711,0.869 +19722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.331149988,0.869 +19721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.625120622,0.869 +19723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.683533648,0.869 +19724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.192444457,0.869 +19725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.957872855,0.869 +19727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.663364088,0.869 +19728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.517356956,0.869 +19729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.642212364,0.869 +19730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.393761995,0.869 +19726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-3.033034926,0.869 +19731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.445648815,0.869 +19732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-1.442507337,0.869 +19733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.291699198,0.869 +19734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.519678061,0.869 +19735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-1.606695026,0.869 +19736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.184012302,0.869 +19737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.920715936,0.869 +19739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.515592244,0.869 +19738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.635455661,0.869 +19740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.776862618,0.869 +19741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.040533781,0.869 +19742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.448991427,0.869 +19743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.158032408,0.869 +19744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.54207014,0.869 +19745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.172699465,0.869 +19746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,10.23274505,0.869 +19748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.126628294,0.869 +19747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.833026237,0.869 +19749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.17804934,0.869 +19753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.045177274,0.869 +19752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.692354081,0.869 +19750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.960543249,0.869 +19754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.089035723,0.869 +19755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,11.3551763,0.869 +19756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,10.24129857,0.869 +19751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.862157909,0.869 +19757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-2.269018539,0.869 +19759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.746974651,0.869 +19758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.649759011,0.869 +19760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.196105533,0.869 +19762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.396401274,0.869 +19763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.849201055,0.869 +19761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,11.15654969,0.869 +19764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.319179923,0.869 +19767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.496365232,0.869 +19766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.821086915,0.869 +19768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.842890768,0.869 +19769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.139081952,0.869 +19765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,9.850656169,0.869 +19770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.965774902,0.869 +19771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.322672092,0.869 +19772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.451754152,0.869 +19773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-1.682386423,0.869 +19774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,9.466679463,0.869 +19777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.398552026,0.869 +19775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.208269008,0.869 +19776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.947174327,0.869 +19778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.339817607,0.869 +19779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.326276848,0.869 +19780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.681184689,0.869 +19781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.535863976,0.869 +19782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,11.08151344,0.869 +19784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.68772043,0.869 +19785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.731689286,0.869 +19783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.550049017,0.869 +19786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.833489632,0.869 +19788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.910336783,0.869 +19790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.334520341,0.869 +19789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.393505495,0.869 +19787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-1.975300247,0.869 +19791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.034383117,0.869 +19793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.940175546,0.869 +19794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.316059537,0.869 +19795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.927791244,0.869 +19792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,11.2008129,0.869 +19796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.25969998,0.869 +19797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.60229581,0.869 +19798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.124199144,0.869 +19799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.705664877,0.869 +19801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.575921177,0.869 +19802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,17.71906428,0.869 +19803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.941247325,0.869 +19804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.464998328,0.869 +19800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.392962921,0.869 +19805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.028868642,0.869 +19806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,9.286905791,0.869 +19807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-1.085458381,0.869 +19808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.516282585,0.869 +19809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.48778338,0.869 +19810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.96171399,0.869 +19811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.655782756,0.869 +19812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.500806589,0.869 +19813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.950002078,0.869 +19814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.354472508,0.869 +19815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.332447044,0.869 +19817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.986648821,0.869 +19816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.172824431,0.869 +19820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.160835056,0.869 +19821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.507978636,0.869 +19819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.666732075,0.869 +19818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,14.46144118,0.869 +19824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,10.46147444,0.869 +19822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.818792662,0.869 +19825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.505233101,0.869 +19823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.723358209,0.869 +19827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.610273896,0.869 +19826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.76553013,0.869 +19828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,11.40858693,0.869 +19829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,9.371045852,0.869 +19830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.965669984,0.869 +19832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.754171698,0.869 +19831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-1.838475025,0.869 +19833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.462453742,0.869 +19834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.003354588,0.869 +19837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.702735042,0.869 +19835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.794233001,0.869 +19836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.445400703,0.869 +19838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,11.42501975,0.869 +19839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.746444992,0.869 +19840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.11753213,0.869 +19842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-1.167979041,0.869 +19843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.110192039,0.869 +19844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.221713976,0.869 +19841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.562683786,0.869 +19845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.661981302,0.869 +19846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.444764527,0.869 +19847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,9.322751054,0.869 +19849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.090611839,0.869 +19848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.399224726,0.869 +19850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.508967429,0.869 +19851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.052739239,0.869 +19854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.322274633,0.869 +19852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.730841552,0.869 +19853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.272894027,0.869 +19855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.250876056,0.869 +19857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.392397661,0.869 +19858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.134131306,0.869 +19856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.175498531,0.869 +19860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.921516599,0.869 +19861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.387400689,0.869 +19862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,11.08106281,0.869 +19863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.904611676,0.869 +19864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.784994028,0.869 +19859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.117149969,0.869 +19865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.537541809,0.869 +19867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.379748044,0.869 +19866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,10.81834847,0.869 +19869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.815101143,0.869 +19868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,16.58842869,0.869 +19870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.68282584,0.869 +19871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.800760852,0.869 +19872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.56671319,0.869 +19874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.21729417,0.869 +19875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.218401136,0.869 +19877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.098569944,0.869 +19873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.196427554,0.869 +19878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.788586853,0.869 +19879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,16.10690594,0.869 +19880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,9.205107741,0.869 +19881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.624033307,0.869 +19876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.186840406,0.869 +19883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.973422427,0.869 +19882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,11.63858667,0.869 +19885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,9.420667632,0.869 +19886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.190455964,0.869 +19884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.721778734,0.869 +19887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.406058726,0.869 +19888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.477125856,0.869 +19890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.708917537,0.869 +19889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.840772713,0.869 +19891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.961596013,0.869 +19893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.230855585,0.869 +19892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.478461288,0.869 +19895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.405658696,0.869 +19896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.116901539,0.869 +19894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.524523915,0.869 +19897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,10.88126907,0.869 +19899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.241290698,0.869 +19900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.652455736,0.869 +19898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.267826814,0.869 +19901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.144174866,0.869 +19902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.414230987,0.869 +19903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.312043549,0.869 +19904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.586716147,0.869 +19906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,9.134420275,0.869 +19905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.980461459,0.869 +19907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.773418894,0.869 +19908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,9.446817954,0.869 +19909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.899146698,0.869 +19912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.480778261,0.869 +19910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,11.46982646,0.869 +19911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.411646238,0.869 +19914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.647376106,0.869 +19913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-1.041367507,0.869 +19915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-4.196441928,0.869 +19916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.507066946,0.869 +19917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.430507334,0.869 +19918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.170824991,0.869 +19920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.179055487,0.869 +19919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,16.58440594,0.869 +19921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.051257641,0.869 +19922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.04803286,0.869 +19923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,12.21704642,0.869 +19924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.339831961,0.869 +19925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,11.24186329,0.869 +19926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.126680814,0.869 +19929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.41907362,0.869 +19928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,11.16506038,0.869 +19930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.604754614,0.869 +19927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.724640255,0.869 +19932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.893814355,0.869 +19931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.107409647,0.869 +19933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.709754094,0.869 +19936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.301727808,0.869 +19934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.63808905,0.869 +19937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.923623566,0.869 +19935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.687225538,0.869 +19938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.191106805,0.869 +19939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.254795478,0.869 +19941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.789716719,0.869 +19940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.233419245,0.869 +19942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.404490014,0.869 +19943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,10.78693607,0.869 +19944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,10.34043797,0.869 +19946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.660074762,0.869 +19945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.9867177,0.869 +19947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,7.043035525,0.869 +19949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.507636043,0.869 +19950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.411298417,0.869 +19951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.061314233,0.869 +19952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.244280162,0.869 +19948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.203730908,0.869 +19953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,13.37830851,0.869 +19954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-1.745646752,0.869 +19955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.568844805,0.869 +19956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.428531505,0.869 +19959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.575196355,0.869 +19957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.166418762,0.869 +19960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.000295433,0.869 +19958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.044023479,0.869 +19962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,10.77922053,0.869 +19961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.720173509,0.869 +19964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.96813635,0.869 +19965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.697815904,0.869 +19966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.646631979,0.869 +19967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.243109304,0.869 +19963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.927319236,0.869 +19969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.146919632,0.869 +19970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.638794951,0.869 +19971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.479440311,0.869 +19973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.300521904,0.869 +19968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,2.915375285,0.869 +19972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.25618321,0.869 +19974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.674707764,0.869 +19976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-1.015424893,0.869 +19978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.121247768,0.869 +19977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.194515198,0.869 +19975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.101809008,0.869 +19979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.342599967,0.869 +19981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-3.458295188,0.869 +19982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.413401001,0.869 +19983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,4.664664965,0.869 +19984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.764244807,0.869 +19985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.879995944,0.869 +19980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,8.33292495,0.869 +19987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.258325962,0.869 +19988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,10.49098386,0.869 +19989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,9.494897195,0.869 +19986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,12.4068738,0.869 +19992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,3.984562028,0.869 +19993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.438055478,0.869 +19991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,6.180564637,0.869 +19990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,11.85314127,0.869 +19994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,1.687022638,0.869 +19995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-3.670013595,0.869 +19997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,-0.791183433,0.869 +19996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,12.89379383,0.869 +19999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,5.572899915,0.869 +20000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,0.443006033,0.869 +19998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.9,10,1,10.03481599,0.869 +29001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.863040881,0.931 +29004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.654508892,0.931 +29002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.368593375,0.931 +29003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.616047073,0.931 +29005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.068456604,0.931 +29006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.611410568,0.931 +29007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.982976588,0.931 +29008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.967171351,0.931 +29009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-1.729667871,0.931 +29011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.046828847,0.931 +29010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,8.193648108,0.931 +29013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.119055061,0.931 +29014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.128048653,0.931 +29012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.536187181,0.931 +29017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.683325314,0.931 +29016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.272036187,0.931 +29015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.392029053,0.931 +29018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.352228551,0.931 +29020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.901932435,0.931 +29019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.679801889,0.931 +29021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.722125424,0.931 +29022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,9.632704048,0.931 +29023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.423050963,0.931 +29025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.438449902,0.931 +29024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.815880222,0.931 +29026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.880013857,0.931 +29028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.204876358,0.931 +29027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.745632493,0.931 +29029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.184601073,0.931 +29031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.629570891,0.931 +29032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.039523457,0.931 +29033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.727495261,0.931 +29030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.066937298,0.931 +29034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.382955089,0.931 +29036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.188917277,0.931 +29035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.984026399,0.931 +29038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.579610435,0.931 +29039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.509336076,0.931 +29040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.884086898,0.931 +29037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.561143442,0.931 +29041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.765369139,0.931 +29042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.538088775,0.931 +29043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.28535807,0.931 +29044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.32236002,0.931 +29045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,11.71311689,0.931 +29046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.721843174,0.931 +29047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.879478672,0.931 +29048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,10.2244781,0.931 +29049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.020774611,0.931 +29050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.5035153,0.931 +29051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.827072623,0.931 +29053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.926957486,0.931 +29054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.989675928,0.931 +29055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.06036656,0.931 +29052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.994980046,0.931 +29057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,8.678489539,0.931 +29056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.397541122,0.931 +29058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.138818641,0.931 +29060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.349584651,0.931 +29061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.139141278,0.931 +29062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.241883182,0.931 +29059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.667946801,0.931 +29063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,11.53786071,0.931 +29064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.340450606,0.931 +29066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.439786346,0.931 +29067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.381387547,0.931 +29065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.661365276,0.931 +29068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.899089084,0.931 +29069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.331319714,0.931 +29070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.429659376,0.931 +29072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.535007446,0.931 +29074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.411568333,0.931 +29075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.35368238,0.931 +29071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.217895694,0.931 +29073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.790153934,0.931 +29076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.990650687,0.931 +29077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.88686458,0.931 +29079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.620067292,0.931 +29078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.477112208,0.931 +29082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.089152815,0.931 +29080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.428730867,0.931 +29083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.016316772,0.931 +29081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,10.81978925,0.931 +29085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-1.84382641,0.931 +29086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.754526858,0.931 +29087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.683337365,0.931 +29088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.22901054,0.931 +29084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.688463362,0.931 +29090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.249498294,0.931 +29091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.691758979,0.931 +29089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.167948456,0.931 +29092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.713163874,0.931 +29093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.799519018,0.931 +29096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.239860671,0.931 +29095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-1.071025203,0.931 +29094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.164795257,0.931 +29097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.055307721,0.931 +29099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.743525798,0.931 +29100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,10.71670356,0.931 +29101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.611441548,0.931 +29098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.21196638,0.931 +29102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.312593419,0.931 +29103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,8.28035974,0.931 +29104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.465332657,0.931 +29107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,10.59919194,0.931 +29108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.621529719,0.931 +29105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.248129868,0.931 +29106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.48593371,0.931 +29109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.607461509,0.931 +29112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.818285582,0.931 +29110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.203420266,0.931 +29111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,11.3137688,0.931 +29113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,8.209699354,0.931 +29114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.582618862,0.931 +29115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.129787646,0.931 +29116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.20818244,0.931 +29117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.83321484,0.931 +29118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.577493615,0.931 +29119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.544630103,0.931 +29120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.017391248,0.931 +29121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.585652546,0.931 +29123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.190561068,0.931 +29125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.941601357,0.931 +29122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.176227822,0.931 +29126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.792939989,0.931 +29128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,12.11964127,0.931 +29124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.169016319,0.931 +29127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.440585758,0.931 +29130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,14.86331218,0.931 +29131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.520812827,0.931 +29129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,8.123570683,0.931 +29132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.463187185,0.931 +29133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-2.543743095,0.931 +29136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,10.27850393,0.931 +29134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.512925823,0.931 +29135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.297966054,0.931 +29138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.376817159,0.931 +29139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.71850858,0.931 +29137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.106561293,0.931 +29140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.819790522,0.931 +29142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.437525506,0.931 +29141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.912939876,0.931 +29143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.287706261,0.931 +29144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.667781117,0.931 +29146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.924648257,0.931 +29145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.80839537,0.931 +29147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.293877214,0.931 +29149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,11.41596263,0.931 +29150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.827641816,0.931 +29151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.934456725,0.931 +29148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,9.048738487,0.931 +29152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,13.2882191,0.931 +29153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.55361339,0.931 +29155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.927140632,0.931 +29154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.271938907,0.931 +29156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.340258849,0.931 +29158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.947065261,0.931 +29157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.885132631,0.931 +29159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.792419024,0.931 +29160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.116451296,0.931 +29161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.633611606,0.931 +29163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.548408054,0.931 +29162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.42794956,0.931 +29164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.153033061,0.931 +29166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.321381472,0.931 +29168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.780091327,0.931 +29167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.598041897,0.931 +29169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,9.34891489,0.931 +29165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.792125154,0.931 +29170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,9.774398241,0.931 +29173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.997478972,0.931 +29174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.438059778,0.931 +29172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.710555361,0.931 +29175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.071244906,0.931 +29171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.466782413,0.931 +29176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.501740282,0.931 +29177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.470083067,0.931 +29178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.792101312,0.931 +29181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,8.86056655,0.931 +29180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.31849925,0.931 +29179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.942814428,0.931 +29183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.982695786,0.931 +29184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.59934788,0.931 +29182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.749541368,0.931 +29185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.93010996,0.931 +29186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.50302016,0.931 +29188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.405740544,0.931 +29187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.684965915,0.931 +29190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.054533222,0.931 +29189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.687220735,0.931 +29191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.201233959,0.931 +29192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,8.01342404,0.931 +29193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.312329249,0.931 +29196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.529470632,0.931 +29195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.678794071,0.931 +29197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.748477662,0.931 +29198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.828196323,0.931 +29199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.327133577,0.931 +29194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.932036381,0.931 +29200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.495526992,0.931 +29201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,13.43494766,0.931 +29202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.54823071,0.931 +29203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.131005617,0.931 +29205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.263039802,0.931 +29204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.189853514,0.931 +29206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.527695594,0.931 +29207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.165814991,0.931 +29209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,11.31857395,0.931 +29208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-1.200422031,0.931 +29210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.872663592,0.931 +29211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.124546791,0.931 +29213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.058068807,0.931 +29212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.564480626,0.931 +29214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.998248923,0.931 +29217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,13.00203575,0.931 +29216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.95394135,0.931 +29215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.658042845,0.931 +29218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.400294945,0.931 +29219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,8.517611861,0.931 +29220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.922889302,0.931 +29222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.128157403,0.931 +29221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.305648135,0.931 +29223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.195347422,0.931 +29224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.614466079,0.931 +29225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.557700871,0.931 +29226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.072521227,0.931 +29227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.665647679,0.931 +29228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.627495458,0.931 +29229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.233213614,0.931 +29232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.825946827,0.931 +29230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.714675888,0.931 +29231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.220528639,0.931 +29234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.085626356,0.931 +29233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.263592449,0.931 +29235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.136748978,0.931 +29236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.447223956,0.931 +29237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.494567785,0.931 +29239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.101034101,0.931 +29240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.19821315,0.931 +29241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.649276872,0.931 +29238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.528503819,0.931 +29243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.699419757,0.931 +29242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.284668577,0.931 +29244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.836676307,0.931 +29245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.732975774,0.931 +29246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.594454322,0.931 +29247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.69199129,0.931 +29248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.355209183,0.931 +29249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.952320822,0.931 +29250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.680251669,0.931 +29251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.184886621,0.931 +29252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,9.724103987,0.931 +29253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,10.10774423,0.931 +29254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.400248029,0.931 +29255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.180486282,0.931 +29256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.382244446,0.931 +29258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.733072775,0.931 +29260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.937120485,0.931 +29261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.253944075,0.931 +29259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.208266757,0.931 +29257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.489957391,0.931 +29262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,10.5794798,0.931 +29264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.774180886,0.931 +29263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.507659717,0.931 +29265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.517145021,0.931 +29266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.126642677,0.931 +29267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.691441701,0.931 +29268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.123985481,0.931 +29269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.319935547,0.931 +29270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.79135272,0.931 +29273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.754982563,0.931 +29272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.262576307,0.931 +29271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.915503065,0.931 +29274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.04701759,0.931 +29276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.249008228,0.931 +29277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,8.918551452,0.931 +29275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.134661983,0.931 +29278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,8.633619362,0.931 +29279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.714938051,0.931 +29281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.399590297,0.931 +29282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.323819402,0.931 +29283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.143173168,0.931 +29284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.491988097,0.931 +29285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.204247817,0.931 +29286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,8.826587268,0.931 +29280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.531364989,0.931 +29287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.805771777,0.931 +29288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,9.368025661,0.931 +29289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.010400023,0.931 +29290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.363330409,0.931 +29293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.261236844,0.931 +29292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.282846149,0.931 +29291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.134204658,0.931 +29295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.302411923,0.931 +29294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.224600889,0.931 +29297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,11.25615098,0.931 +29296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.662180355,0.931 +29298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.693707011,0.931 +29299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.429008761,0.931 +29300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,8.745166809,0.931 +29301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.25246497,0.931 +29302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.673448832,0.931 +29304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,8.393148385,0.931 +29305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.388284479,0.931 +29306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.090134236,0.931 +29307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.134091572,0.931 +29308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.903062341,0.931 +29303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.114205914,0.931 +29312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.82277835,0.931 +29309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.079994356,0.931 +29310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.433146402,0.931 +29311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.946315245,0.931 +29314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.133506858,0.931 +29315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,8.385456063,0.931 +29316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,14.75400647,0.931 +29313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.873711195,0.931 +29317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.218329175,0.931 +29318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.74367685,0.931 +29319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.654725688,0.931 +29321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.994446537,0.931 +29322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.372768561,0.931 +29323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.129308931,0.931 +29320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,10.6652185,0.931 +29324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.303545477,0.931 +29325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.019520452,0.931 +29327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.073326693,0.931 +29328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.100055027,0.931 +29329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.593703444,0.931 +29331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.208490924,0.931 +29332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.370709237,0.931 +29326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.993749674,0.931 +29330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.960906165,0.931 +29333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.7703051,0.931 +29334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.725852277,0.931 +29336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-1.587186823,0.931 +29335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.760810046,0.931 +29337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.535092788,0.931 +29338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,9.070495996,0.931 +29340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.479072375,0.931 +29339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.781123795,0.931 +29341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.531369441,0.931 +29342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.655235989,0.931 +29343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.075258926,0.931 +29345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,10.50255541,0.931 +29344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.666459264,0.931 +29346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.550449822,0.931 +29348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-2.345065937,0.931 +29349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.923778655,0.931 +29350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.233657886,0.931 +29347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,8.430799219,0.931 +29352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,9.637251779,0.931 +29354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.406771079,0.931 +29351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.216789813,0.931 +29353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.173280925,0.931 +29355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.894111458,0.931 +29356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.994571141,0.931 +29357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.361659541,0.931 +29358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.435557125,0.931 +29360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.191784282,0.931 +29361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.064909976,0.931 +29359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.966813892,0.931 +29362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.337124315,0.931 +29364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.370513907,0.931 +29366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.966808657,0.931 +29365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.163739891,0.931 +29367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.645759739,0.931 +29363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.245995608,0.931 +29368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,8.777684392,0.931 +29369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.889262682,0.931 +29371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.468875924,0.931 +29370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,9.92613178,0.931 +29372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.354153944,0.931 +29374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.974239441,0.931 +29376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,12.43570499,0.931 +29375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.64300825,0.931 +29377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.226435084,0.931 +29373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,8.979821291,0.931 +29379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.200658301,0.931 +29378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.628680386,0.931 +29380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,9.692782656,0.931 +29382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,11.76309135,0.931 +29383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.825696459,0.931 +29381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.735917149,0.931 +29384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,9.319928698,0.931 +29386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.087463761,0.931 +29387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.404926536,0.931 +29385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.392693717,0.931 +29388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.204858628,0.931 +29389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.387031635,0.931 +29391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.000081625,0.931 +29390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.901793961,0.931 +29393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.30577048,0.931 +29392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.531187125,0.931 +29394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.913250348,0.931 +29396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,11.00352946,0.931 +29397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.311032827,0.931 +29398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,10.04756211,0.931 +29395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.737293924,0.931 +29399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.215407463,0.931 +29401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,9.449203796,0.931 +29400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.335745885,0.931 +29403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.748350683,0.931 +29402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.065273631,0.931 +29404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,8.946294623,0.931 +29405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.164087673,0.931 +29406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.573507675,0.931 +29407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.390738985,0.931 +29409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.166715151,0.931 +29408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.238808442,0.931 +29410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.233348661,0.931 +29412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.667153848,0.931 +29413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.264439,0.931 +29411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.30267031,0.931 +29414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.08224728,0.931 +29415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.660257592,0.931 +29418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.005332214,0.931 +29417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.185652125,0.931 +29416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.060826297,0.931 +29420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.776481062,0.931 +29421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.695494475,0.931 +29419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,12.05687624,0.931 +29422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.284171805,0.931 +29423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.347370171,0.931 +29424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.711038312,0.931 +29425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.029957701,0.931 +29427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.02024121,0.931 +29429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.661418997,0.931 +29426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.528898294,0.931 +29432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.208278764,0.931 +29431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.187463365,0.931 +29428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,12.12377777,0.931 +29430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.415811055,0.931 +29433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,11.10866237,0.931 +29436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.847095012,0.931 +29435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.289334402,0.931 +29438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,8.834828128,0.931 +29434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.667265676,0.931 +29439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.92968211,0.931 +29440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,13.24330247,0.931 +29441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.956871295,0.931 +29442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.372764271,0.931 +29437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.958263677,0.931 +29444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.734822581,0.931 +29446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,8.280523593,0.931 +29443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,9.286796676,0.931 +29447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.259218166,0.931 +29445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.125590844,0.931 +29449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.85059665,0.931 +29448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.103389151,0.931 +29450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.592847557,0.931 +29451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,11.38634476,0.931 +29452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.073114937,0.931 +29453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.497343498,0.931 +29454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.71534334,0.931 +29456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.646722469,0.931 +29457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,10.21259649,0.931 +29458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.133336426,0.931 +29455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-3.38812021,0.931 +29459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.203087017,0.931 +29462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.262297023,0.931 +29463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.355823585,0.931 +29461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.942439096,0.931 +29460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.43779538,0.931 +29464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.73361032,0.931 +29466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.562162839,0.931 +29467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.08682136,0.931 +29468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.946750081,0.931 +29465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,8.962930321,0.931 +29470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.276352313,0.931 +29472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.043735552,0.931 +29469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.183329942,0.931 +29473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.339824835,0.931 +29471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.34479339,0.931 +29474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-1.060972127,0.931 +29475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.330547196,0.931 +29476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.029886388,0.931 +29477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.56657123,0.931 +29478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.656404892,0.931 +29480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.883518504,0.931 +29481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.313390179,0.931 +29479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.908208893,0.931 +29483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.106064489,0.931 +29482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.404457372,0.931 +29484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.513170789,0.931 +29487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.098831184,0.931 +29486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.462541067,0.931 +29488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.549178837,0.931 +29485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.889030265,0.931 +29489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.762775083,0.931 +29490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.394180412,0.931 +29491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.409116582,0.931 +29492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,9.650712961,0.931 +29493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,11.61014114,0.931 +29494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.479661171,0.931 +29496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.4542415,0.931 +29495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.317735204,0.931 +29497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.62618206,0.931 +29498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.293723881,0.931 +29499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.515880235,0.931 +29500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.586462594,0.931 +29502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,8.152742015,0.931 +29503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.880819268,0.931 +29501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.652774971,0.931 +29504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,9.563059571,0.931 +29505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.766720085,0.931 +29506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.275476184,0.931 +29507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.541248442,0.931 +29510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.031057869,0.931 +29508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.542737787,0.931 +29509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,13.1973802,0.931 +29511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.8710121,0.931 +29512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.134398125,0.931 +29513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.071418115,0.931 +29514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.670847922,0.931 +29515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.305147392,0.931 +29516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,11.08423484,0.931 +29517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.703524452,0.931 +29518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.773446464,0.931 +29519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.847097757,0.931 +29522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.708814913,0.931 +29520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.896745081,0.931 +29521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,11.02494566,0.931 +29524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.70453801,0.931 +29525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.006527907,0.931 +29523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.202092996,0.931 +29526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,10.12990809,0.931 +29527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.270045889,0.931 +29528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.371283189,0.931 +29529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.592428245,0.931 +29530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.320953896,0.931 +29531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,11.36473475,0.931 +29532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,9.37511564,0.931 +29533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,10.04412294,0.931 +29534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.047556157,0.931 +29537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,10.51246617,0.931 +29536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,9.207069699,0.931 +29535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.630472173,0.931 +29538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.035541178,0.931 +29541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.962568148,0.931 +29542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.345956136,0.931 +29540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.167538695,0.931 +29539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,8.040273564,0.931 +29544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.881945012,0.931 +29543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.292372947,0.931 +29545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.147933218,0.931 +29547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.004862084,0.931 +29548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.410200257,0.931 +29546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,14.15040322,0.931 +29549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.329145715,0.931 +29552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,11.08873737,0.931 +29553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.237498113,0.931 +29550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.671559961,0.931 +29551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.441380376,0.931 +29554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.543039118,0.931 +29556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.481949441,0.931 +29558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.971934352,0.931 +29557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.376693513,0.931 +29559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.665612981,0.931 +29555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.101406679,0.931 +29561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.140168613,0.931 +29562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.075099124,0.931 +29563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.911863215,0.931 +29564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.11540338,0.931 +29560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,14.2621123,0.931 +29566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.002741348,0.931 +29565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.075461449,0.931 +29568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.090474309,0.931 +29569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,11.06076475,0.931 +29567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.665850916,0.931 +29570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.942023947,0.931 +29571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.258318004,0.931 +29572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.579223743,0.931 +29574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.751690524,0.931 +29575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.937901505,0.931 +29573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.506788486,0.931 +29576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.802970101,0.931 +29577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.397576059,0.931 +29579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-1.485148228,0.931 +29580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,8.022069371,0.931 +29581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.195070358,0.931 +29578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.011896389,0.931 +29582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.812108043,0.931 +29585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.310715792,0.931 +29584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.29293681,0.931 +29586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.012659828,0.931 +29583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.446127059,0.931 +29587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.676581492,0.931 +29588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.952499891,0.931 +29589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.151795791,0.931 +29591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.013109596,0.931 +29592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.182894,0.931 +29590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.96366801,0.931 +29594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.979895937,0.931 +29595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.282200999,0.931 +29593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.715063664,0.931 +29596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.722019087,0.931 +29598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.23011863,0.931 +29597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.359820518,0.931 +29599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-1.695409586,0.931 +29600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.427138002,0.931 +29601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.479436001,0.931 +29602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.673815909,0.931 +29603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.532917499,0.931 +29605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.04965766,0.931 +29606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.201185378,0.931 +29607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.833680037,0.931 +29608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.126783235,0.931 +29609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,8.538414503,0.931 +29604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.808449357,0.931 +29613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-3.451000179,0.931 +29610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-2.076877711,0.931 +29611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,10.35727452,0.931 +29612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.555933906,0.931 +29614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.673509681,0.931 +29615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.934262099,0.931 +29617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.72196268,0.931 +29616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.477298975,0.931 +29618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.226480484,0.931 +29619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.406335071,0.931 +29620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.594557973,0.931 +29621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.976723219,0.931 +29624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.915845187,0.931 +29623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.970731865,0.931 +29625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.803704844,0.931 +29626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,10.69152374,0.931 +29627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.860545024,0.931 +29628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.289467103,0.931 +29622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.601250512,0.931 +29630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.710436569,0.931 +29631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-1.924913292,0.931 +29629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.296018392,0.931 +29632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.72658386,0.931 +29633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.130076139,0.931 +29634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.831718019,0.931 +29635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.325730245,0.931 +29636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.68004116,0.931 +29637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.406357325,0.931 +29638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.994680464,0.931 +29639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.08679147,0.931 +29642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.538416206,0.931 +29641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.559499423,0.931 +29643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.338955315,0.931 +29640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.203245422,0.931 +29644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,19.31882419,0.931 +29645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.998739191,0.931 +29647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.31825553,0.931 +29646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,9.520190976,0.931 +29648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,8.726561171,0.931 +29651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.416149254,0.931 +29650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.529894635,0.931 +29652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.750312351,0.931 +29649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.976333994,0.931 +29653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.551352627,0.931 +29654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.028012944,0.931 +29655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.36800899,0.931 +29657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.940041454,0.931 +29656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.114021584,0.931 +29659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,12.30649217,0.931 +29658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.677197927,0.931 +29661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.072912411,0.931 +29662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.756068471,0.931 +29660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,9.043097401,0.931 +29663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,9.782672515,0.931 +29665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.798506646,0.931 +29666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.022336213,0.931 +29664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.863917624,0.931 +29667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.853023723,0.931 +29668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.400952232,0.931 +29669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.003774926,0.931 +29671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.835821473,0.931 +29670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.222696126,0.931 +29673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.552387491,0.931 +29672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.871503256,0.931 +29675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.575223144,0.931 +29674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.840677345,0.931 +29677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.122336876,0.931 +29678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.122750164,0.931 +29679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.271339956,0.931 +29680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.009618508,0.931 +29676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.43116185,0.931 +29682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.731092701,0.931 +29684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.658913516,0.931 +29683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.074654506,0.931 +29681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.905450065,0.931 +29685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.716376715,0.931 +29686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.591107766,0.931 +29687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.511488971,0.931 +29688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,10.11982231,0.931 +29690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.486196611,0.931 +29689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.099964182,0.931 +29691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.089316935,0.931 +29692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.347188559,0.931 +29694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.765646078,0.931 +29695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.051285086,0.931 +29693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.197217624,0.931 +29696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.03768246,0.931 +29697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,9.999148214,0.931 +29698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.051928497,0.931 +29699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.108190808,0.931 +29701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,8.118738263,0.931 +29703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.867770091,0.931 +29700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.833680027,0.931 +29702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.893997198,0.931 +29704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,10.62980811,0.931 +29705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,9.664216981,0.931 +29707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.185459075,0.931 +29706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.836880961,0.931 +29709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.294612017,0.931 +29708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.529096548,0.931 +29710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.107512245,0.931 +29711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.152249266,0.931 +29713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.347284312,0.931 +29714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.741696431,0.931 +29715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.005488027,0.931 +29716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.037317927,0.931 +29717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.029675656,0.931 +29712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.999694741,0.931 +29718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.670316048,0.931 +29721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.405156804,0.931 +29719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.514329277,0.931 +29720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.73388262,0.931 +29722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.054967527,0.931 +29723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.746588223,0.931 +29725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.738081898,0.931 +29724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.650124438,0.931 +29726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.091523327,0.931 +29727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.961537238,0.931 +29728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.539210307,0.931 +29729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.981099645,0.931 +29730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.261083591,0.931 +29732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.907507457,0.931 +29734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.669149959,0.931 +29733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,9.921759004,0.931 +29731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.894158613,0.931 +29735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.947939074,0.931 +29736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,13.04004626,0.931 +29738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.384714772,0.931 +29739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.726391225,0.931 +29740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.01544235,0.931 +29741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.03247055,0.931 +29737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.474533976,0.931 +29742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.520450497,0.931 +29743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.320629641,0.931 +29744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.083460998,0.931 +29746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,8.948448362,0.931 +29745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.696060553,0.931 +29747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.491079677,0.931 +29748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.998239959,0.931 +29749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.366795013,0.931 +29750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.856010909,0.931 +29751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.357060439,0.931 +29753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.093945849,0.931 +29752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.127239751,0.931 +29754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.118216009,0.931 +29757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.357103824,0.931 +29755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.379768118,0.931 +29756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.816573732,0.931 +29759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,12.98924689,0.931 +29761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.730591136,0.931 +29760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.998108171,0.931 +29762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.928665724,0.931 +29764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.205318494,0.931 +29763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.854062327,0.931 +29758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.015756507,0.931 +29766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,11.01084493,0.931 +29768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.380976405,0.931 +29767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.149903744,0.931 +29765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.510965021,0.931 +29769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.515823667,0.931 +29771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.578766391,0.931 +29770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.421768442,0.931 +29772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.980021334,0.931 +29773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.435753457,0.931 +29774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.248653632,0.931 +29776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.83862682,0.931 +29777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.057997568,0.931 +29778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.346510808,0.931 +29775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.335611594,0.931 +29779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.856563534,0.931 +29780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.916455948,0.931 +29782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.239576308,0.931 +29781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.84469833,0.931 +29783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.972879391,0.931 +29784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.904841994,0.931 +29786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.365916269,0.931 +29787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.119232609,0.931 +29785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.769211033,0.931 +29788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.883288847,0.931 +29789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,9.517817731,0.931 +29791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.678058333,0.931 +29790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.385483862,0.931 +29793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.723957522,0.931 +29792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,9.032317125,0.931 +29794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.974861135,0.931 +29797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.278267425,0.931 +29796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.703459937,0.931 +29795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.799394332,0.931 +29798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.519243306,0.931 +29799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.837796252,0.931 +29800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,10.6080156,0.931 +29801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.559863383,0.931 +29803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.017848748,0.931 +29804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.590415918,0.931 +29802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.466259356,0.931 +29805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.773455766,0.931 +29806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,12.74439784,0.931 +29807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.944872923,0.931 +29809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.304472848,0.931 +29808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.027179184,0.931 +29810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.381798593,0.931 +29811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.253670599,0.931 +29813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.652923704,0.931 +29812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,13.56260491,0.931 +29814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.085634512,0.931 +29815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.009722448,0.931 +29816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,14.01788316,0.931 +29817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.507890256,0.931 +29818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.308451738,0.931 +29819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.663421381,0.931 +29822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.314798046,0.931 +29821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,16.34130848,0.931 +29823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.605022028,0.931 +29820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,9.177305284,0.931 +29825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.16419343,0.931 +29824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.983069084,0.931 +29826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.29275231,0.931 +29827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.721514588,0.931 +29829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.250447138,0.931 +29828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.992130089,0.931 +29830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.046767107,0.931 +29831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.36783903,0.931 +29834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.672754829,0.931 +29832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.971808139,0.931 +29835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.320881711,0.931 +29833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.027489114,0.931 +29837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.281857847,0.931 +29836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.489648116,0.931 +29839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.543099971,0.931 +29840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.468838327,0.931 +29841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.538319055,0.931 +29838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-1.351595295,0.931 +29842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.644064813,0.931 +29843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.808942648,0.931 +29844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.384972463,0.931 +29845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.6089954,0.931 +29846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.236416973,0.931 +29848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.400090651,0.931 +29847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.100880168,0.931 +29849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.315827533,0.931 +29850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.413289102,0.931 +29851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.543375759,0.931 +29853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.090688835,0.931 +29852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.52978072,0.931 +29854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.501208829,0.931 +29857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.845326041,0.931 +29855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,12.71576508,0.931 +29856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.135287899,0.931 +29860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-1.456680196,0.931 +29858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.282823508,0.931 +29861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,12.095244,0.931 +29862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.74517292,0.931 +29864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.400813996,0.931 +29859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.641974288,0.931 +29863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.249102354,0.931 +29865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.017095416,0.931 +29866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,11.77200331,0.931 +29867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.594810216,0.931 +29869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.033409082,0.931 +29870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.573241348,0.931 +29868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.490309094,0.931 +29871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.123496286,0.931 +29875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.949744609,0.931 +29874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.606936119,0.931 +29872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.348256819,0.931 +29873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.100413877,0.931 +29878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.366518922,0.931 +29879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.839584738,0.931 +29876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,11.78168598,0.931 +29877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.301229523,0.931 +29880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.613186549,0.931 +29881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.600342785,0.931 +29885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.393842766,0.931 +29884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.804622307,0.931 +29883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.434666309,0.931 +29882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,8.388078657,0.931 +29886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.740816613,0.931 +29889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.501139522,0.931 +29888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.441047057,0.931 +29887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.74275925,0.931 +29890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-1.313014793,0.931 +29891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.452743913,0.931 +29892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.967974142,0.931 +29893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.635510111,0.931 +29894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.524147499,0.931 +29897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.461410469,0.931 +29895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.347643733,0.931 +29898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.533032955,0.931 +29896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.880133252,0.931 +29899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.437132323,0.931 +29900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.773538185,0.931 +29902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.604684006,0.931 +29904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.654143769,0.931 +29903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.969508633,0.931 +29901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,9.361952486,0.931 +29906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.031318471,0.931 +29905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.944570656,0.931 +29907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.669066272,0.931 +29908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.023261864,0.931 +29910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.990712234,0.931 +29911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.966307778,0.931 +29912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.978261705,0.931 +29909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,9.508205841,0.931 +29914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.070267795,0.931 +29915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.347393204,0.931 +29916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.791640964,0.931 +29913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.914638907,0.931 +29919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.392726313,0.931 +29917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.128678888,0.931 +29918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.629773137,0.931 +29920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.268451914,0.931 +29921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.514242845,0.931 +29922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.725231511,0.931 +29923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.748417913,0.931 +29924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.340014859,0.931 +29926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.241142347,0.931 +29927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.21325504,0.931 +29928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.624157971,0.931 +29929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.242693017,0.931 +29930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.076649425,0.931 +29925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.080199196,0.931 +29932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.862346723,0.931 +29934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.794728005,0.931 +29933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.615120189,0.931 +29936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.056419426,0.931 +29931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.06500812,0.931 +29937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.082671193,0.931 +29935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,8.549553074,0.931 +29938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.164474255,0.931 +29940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.834666692,0.931 +29941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.747246604,0.931 +29939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.441344577,0.931 +29942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,9.281376535,0.931 +29943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.633327191,0.931 +29945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.056302884,0.931 +29944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.527423272,0.931 +29947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.587673985,0.931 +29948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.199209516,0.931 +29946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.538314009,0.931 +29949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.369866749,0.931 +29950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.682259768,0.931 +29951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.289587247,0.931 +29952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.029076062,0.931 +29953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,8.47201098,0.931 +29955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.204667238,0.931 +29954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.609272232,0.931 +29956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.309964843,0.931 +29957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,10.16724158,0.931 +29959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.505284041,0.931 +29958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.520886614,0.931 +29960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.03674824,0.931 +29962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.512397656,0.931 +29961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.3053863,0.931 +29963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.514958167,0.931 +29964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,8.692752564,0.931 +29965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.527990725,0.931 +29967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.364372252,0.931 +29968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.883867774,0.931 +29969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.560458614,0.931 +29966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.354215862,0.931 +29971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.536326702,0.931 +29972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,8.801551821,0.931 +29970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.50436623,0.931 +29974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.93182575,0.931 +29975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.365264042,0.931 +29973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,5.280699308,0.931 +29976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.094370796,0.931 +29977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,9.355434091,0.931 +29979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.368166534,0.931 +29978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,11.56416383,0.931 +29980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-1.034760221,0.931 +29982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.763254213,0.931 +29981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.754476006,0.931 +29983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,3.643568542,0.931 +29984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,7.949544653,0.931 +29987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.486079618,0.931 +29986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.776238711,0.931 +29985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,-0.311098126,0.931 +29990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.456173795,0.931 +29989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.188353156,0.931 +29988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,2.318064427,0.931 +29991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.775874492,0.931 +29992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.241429247,0.931 +29993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.717575753,0.931 +29994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,17.31294888,0.931 +29995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,1.782115736,0.931 +29996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,0.455226814,0.931 +29997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,6.766970798,0.931 +29998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,8.479409342,0.931 +29999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,11.37730926,0.931 +30000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.8,10,1,4.683170508,0.931 +39001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.462036484,0.974 +39003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.239125083,0.974 +39002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.556046587,0.974 +39005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.61066947,0.974 +39004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,10.79493892,0.974 +39007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.018859274,0.974 +39006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.383522295,0.974 +39009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.470452718,0.974 +39008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.506813133,0.974 +39010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.843054369,0.974 +39011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.266827955,0.974 +39012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.669387611,0.974 +39013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.399687228,0.974 +39014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.001547639,0.974 +39015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.480874725,0.974 +39016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.762121104,0.974 +39017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,12.75149238,0.974 +39018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.794762975,0.974 +39019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.164204914,0.974 +39021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.86985436,0.974 +39020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.255188427,0.974 +39022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.601597191,0.974 +39023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,10.58314542,0.974 +39025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.155164563,0.974 +39026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.820931193,0.974 +39024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,7.031604858,0.974 +39027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.849891009,0.974 +39028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,8.697407894,0.974 +39029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.610178087,0.974 +39031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.093124342,0.974 +39032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,12.98402217,0.974 +39033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.504337241,0.974 +39035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.565481554,0.974 +39034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.3188089,0.974 +39030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.314002891,0.974 +39037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.371495588,0.974 +39036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.113825357,0.974 +39038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.716107376,0.974 +39039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,9.092292292,0.974 +39040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.273337695,0.974 +39042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.447769662,0.974 +39041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.254294069,0.974 +39043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.730313265,0.974 +39044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,7.326388887,0.974 +39045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.107090852,0.974 +39046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.990887379,0.974 +39049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.905329067,0.974 +39048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.919019273,0.974 +39050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,7.437237087,0.974 +39047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.647842347,0.974 +39053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.850332347,0.974 +39051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.900406526,0.974 +39052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.016983735,0.974 +39054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.98317768,0.974 +39056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.203579573,0.974 +39055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.225260706,0.974 +39057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.926066058,0.974 +39058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.788840776,0.974 +39059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.395562447,0.974 +39060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.720300915,0.974 +39061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.70641941,0.974 +39062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.622173655,0.974 +39063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.803315016,0.974 +39064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.230328033,0.974 +39065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.429909633,0.974 +39068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.287833543,0.974 +39067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.52807591,0.974 +39066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,-0.838715248,0.974 +39069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,-0.87383476,0.974 +39070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.518864716,0.974 +39071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.940309058,0.974 +39073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.528330274,0.974 +39072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.105082625,0.974 +39074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.564294172,0.974 +39075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.127653618,0.974 +39076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.303470353,0.974 +39077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,7.077173037,0.974 +39078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.818231566,0.974 +39079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.838132214,0.974 +39080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.130555413,0.974 +39082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.994316554,0.974 +39083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,9.699655134,0.974 +39084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.082880026,0.974 +39081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,7.720967167,0.974 +39085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,7.12028718,0.974 +39086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.501123288,0.974 +39088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.577344694,0.974 +39090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,7.255140606,0.974 +39087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.872138073,0.974 +39089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.155725672,0.974 +39091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.275872869,0.974 +39092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.591882251,0.974 +39093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.004074097,0.974 +39095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.564535306,0.974 +39096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.85692066,0.974 +39097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.505836352,0.974 +39094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.221846324,0.974 +39100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.627254616,0.974 +39101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.803642152,0.974 +39098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.746236098,0.974 +39099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.29864282,0.974 +39105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.994051937,0.974 +39104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.496313032,0.974 +39102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.662688572,0.974 +39103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.989387943,0.974 +39106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.572414612,0.974 +39107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.00594787,0.974 +39108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.952787606,0.974 +39110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.264799286,0.974 +39109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.132524568,0.974 +39112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.693086108,0.974 +39111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.357838471,0.974 +39115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,7.671186675,0.974 +39114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.404970966,0.974 +39113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.852551862,0.974 +39116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.572854308,0.974 +39118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.097987778,0.974 +39119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.484016054,0.974 +39120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.446945428,0.974 +39121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.570096805,0.974 +39117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.676036908,0.974 +39122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.495045895,0.974 +39123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.300595123,0.974 +39125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.020405928,0.974 +39126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.604377192,0.974 +39127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.422865452,0.974 +39128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.815163921,0.974 +39124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.861414126,0.974 +39129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.743592218,0.974 +39131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.118188578,0.974 +39132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.760083613,0.974 +39130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.112757209,0.974 +39133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.668907327,0.974 +39135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.095289131,0.974 +39136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.152176776,0.974 +39137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.470887583,0.974 +39134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,7.405168179,0.974 +39138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.582255784,0.974 +39140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.778155119,0.974 +39139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.458982572,0.974 +39141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.82487301,0.974 +39143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.786419974,0.974 +39144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.789381751,0.974 +39142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.94063348,0.974 +39145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.406232828,0.974 +39148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.778921015,0.974 +39149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.532763754,0.974 +39146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.469810755,0.974 +39147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.002342648,0.974 +39150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.357967227,0.974 +39152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.275730092,0.974 +39151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.487440463,0.974 +39154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.461379134,0.974 +39155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.408536979,0.974 +39153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.614178357,0.974 +39156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.507510544,0.974 +39158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.680432179,0.974 +39160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,8.112735223,0.974 +39157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.809436879,0.974 +39159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.080471039,0.974 +39162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.461995807,0.974 +39163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.249240956,0.974 +39161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.632468774,0.974 +39164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,-0.04555714,0.974 +39165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.249313092,0.974 +39166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.908077203,0.974 +39167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.801578455,0.974 +39170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.198368834,0.974 +39171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.38018141,0.974 +39168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.529523027,0.974 +39169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.790979062,0.974 +39173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.98154479,0.974 +39172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.958454838,0.974 +39175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.233019607,0.974 +39174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.190438828,0.974 +39176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.650633874,0.974 +39178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.994266858,0.974 +39177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.208397334,0.974 +39179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.653697481,0.974 +39180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.73466699,0.974 +39181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.869467836,0.974 +39182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.79954556,0.974 +39184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.63687671,0.974 +39186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.717564497,0.974 +39183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.692890289,0.974 +39187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.918221566,0.974 +39188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.844291202,0.974 +39185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.181292512,0.974 +39189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.127347662,0.974 +39192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.072082066,0.974 +39190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.087157824,0.974 +39193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,14.21423726,0.974 +39191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.93985304,0.974 +39194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.969958116,0.974 +39195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.923348057,0.974 +39196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.136797543,0.974 +39197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,-0.765301838,0.974 +39198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.658271736,0.974 +39199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.899654162,0.974 +39201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.295323167,0.974 +39203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.867013765,0.974 +39204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.647020337,0.974 +39200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.49510222,0.974 +39205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.440559592,0.974 +39202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,7.269846596,0.974 +39207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.029823462,0.974 +39206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.483776337,0.974 +39209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.39530305,0.974 +39208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.068648478,0.974 +39210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.790305527,0.974 +39212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.832057395,0.974 +39211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.157780245,0.974 +39213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,10.05934118,0.974 +39214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.782298226,0.974 +39216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.435176851,0.974 +39215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.195300115,0.974 +39217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.545530689,0.974 +39219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.279558597,0.974 +39220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.468839999,0.974 +39221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.692844071,0.974 +39218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.701465462,0.974 +39222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,11.19253913,0.974 +39225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.836354115,0.974 +39224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.672754026,0.974 +39223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.684211385,0.974 +39226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.395711006,0.974 +39228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.936992527,0.974 +39227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.217471983,0.974 +39229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.02720173,0.974 +39230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.31238697,0.974 +39231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.813961004,0.974 +39233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.25183041,0.974 +39232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.242179271,0.974 +39235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.845735215,0.974 +39234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.392961141,0.974 +39236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.362983714,0.974 +39238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.662596198,0.974 +39237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.595974924,0.974 +39239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.695439471,0.974 +39240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,9.641830407,0.974 +39241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.166483669,0.974 +39243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.469605665,0.974 +39242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.862011802,0.974 +39244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.708850036,0.974 +39245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.537249193,0.974 +39246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.399176415,0.974 +39248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.857832738,0.974 +39247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.858705992,0.974 +39249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.870970694,0.974 +39251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.07428145,0.974 +39250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.839974564,0.974 +39252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.424381486,0.974 +39255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.206029634,0.974 +39253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.142695721,0.974 +39254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.116306915,0.974 +39258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.053593741,0.974 +39257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.614596474,0.974 +39259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.541091089,0.974 +39256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.021105908,0.974 +39260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.292760577,0.974 +39261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.267664925,0.974 +39263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.592801929,0.974 +39264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.553217963,0.974 +39265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.278723427,0.974 +39262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,8.496314842,0.974 +39267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.049054861,0.974 +39266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.356744941,0.974 +39268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.068031683,0.974 +39269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.077955985,0.974 +39271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.143759515,0.974 +39270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.736947345,0.974 +39272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,9.298160819,0.974 +39275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,-1.036248571,0.974 +39276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.033111255,0.974 +39273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.848817334,0.974 +39274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.719722962,0.974 +39277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.000157534,0.974 +39278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.60090747,0.974 +39279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.342449622,0.974 +39281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.493233848,0.974 +39282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.214620266,0.974 +39280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.305081999,0.974 +39286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,-0.038133742,0.974 +39283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.077813505,0.974 +39284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.507468598,0.974 +39285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.914343131,0.974 +39288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.862132347,0.974 +39289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.655460452,0.974 +39287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.754180996,0.974 +39290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.725618872,0.974 +39292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.817479869,0.974 +39294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.978218961,0.974 +39291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.426479731,0.974 +39293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.984565048,0.974 +39295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.835960362,0.974 +39296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.143094199,0.974 +39297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.075981792,0.974 +39299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.645131244,0.974 +39298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.506073139,0.974 +39300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,8.890113653,0.974 +39301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.524059816,0.974 +39302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.177434766,0.974 +39303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.488404063,0.974 +39305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,7.294275818,0.974 +39304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.27897649,0.974 +39306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.462807146,0.974 +39307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.112831418,0.974 +39308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.830247366,0.974 +39310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.102000481,0.974 +39309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.501323832,0.974 +39311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.354051405,0.974 +39313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.68953304,0.974 +39315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,9.400116319,0.974 +39312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,9.504953335,0.974 +39316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.717280928,0.974 +39314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.924208556,0.974 +39317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.614340893,0.974 +39318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,7.327916192,0.974 +39319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.574126776,0.974 +39320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.494980183,0.974 +39321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.901369844,0.974 +39322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.753621248,0.974 +39323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.764750574,0.974 +39324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.255927497,0.974 +39325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.673365452,0.974 +39326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.048817156,0.974 +39327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.806749008,0.974 +39329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.071212367,0.974 +39330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.334230621,0.974 +39328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,7.541318331,0.974 +39331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.2347114,0.974 +39332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.175301201,0.974 +39333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,11.60788593,0.974 +39335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,7.590680056,0.974 +39334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.630814194,0.974 +39336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.161769518,0.974 +39338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.674586684,0.974 +39337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.046878893,0.974 +39339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.428866457,0.974 +39340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.08169766,0.974 +39341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.702390066,0.974 +39342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.985333416,0.974 +39343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.160464901,0.974 +39344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.392504453,0.974 +39346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,8.332058926,0.974 +39348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.247879983,0.974 +39347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.742877012,0.974 +39349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.770497495,0.974 +39350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.980596305,0.974 +39345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.226631433,0.974 +39352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.461256133,0.974 +39353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,-2.52E-04,0.974 +39354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.346754501,0.974 +39351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,10.41810053,0.974 +39355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.772914389,0.974 +39356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.188200742,0.974 +39357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.461235532,0.974 +39359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.403033608,0.974 +39358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.317966186,0.974 +39361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,8.061007748,0.974 +39360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.586624697,0.974 +39362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.432597472,0.974 +39363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.901963038,0.974 +39365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.308297072,0.974 +39366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.449818346,0.974 +39364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.137546814,0.974 +39369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,11.98925799,0.974 +39368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.173932607,0.974 +39370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.296763644,0.974 +39367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.852311248,0.974 +39372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,12.95587178,0.974 +39371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,-2.497094109,0.974 +39373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.821724539,0.974 +39377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.793509636,0.974 +39375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.047017017,0.974 +39376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.221895276,0.974 +39374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,-0.972918582,0.974 +39378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.078970253,0.974 +39379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.553809233,0.974 +39381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,9.816667092,0.974 +39380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.593250932,0.974 +39383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.312103641,0.974 +39385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.564438259,0.974 +39384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.026497403,0.974 +39382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.066219331,0.974 +39386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.373009952,0.974 +39387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.592748962,0.974 +39389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.599766541,0.974 +39391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,7.325256357,0.974 +39388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.591100177,0.974 +39390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.811016248,0.974 +39392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.989358662,0.974 +39393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.38387525,0.974 +39396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.713528588,0.974 +39394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.316878248,0.974 +39395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,-1.893828632,0.974 +39397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,-0.501416989,0.974 +39399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.828404387,0.974 +39400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.489817792,0.974 +39401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.600703965,0.974 +39403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.40028339,0.974 +39398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.787562721,0.974 +39404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.282791938,0.974 +39402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.194310712,0.974 +39406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.049518739,0.974 +39405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.601072391,0.974 +39407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.4829828,0.974 +39408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.621309434,0.974 +39409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,7.21253835,0.974 +39410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.163544247,0.974 +39411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.521619502,0.974 +39412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.170322203,0.974 +39413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,8.434695539,0.974 +39414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.962506973,0.974 +39416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.987541192,0.974 +39415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.773130573,0.974 +39417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.392210199,0.974 +39418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.048015146,0.974 +39420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.193777352,0.974 +39422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.015568968,0.974 +39419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.832068363,0.974 +39421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.137362344,0.974 +39423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.644129529,0.974 +39424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.091366613,0.974 +39425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,-0.295410913,0.974 +39426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.41232229,0.974 +39427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.14136762,0.974 +39428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.398555739,0.974 +39431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.125084303,0.974 +39430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.308799169,0.974 +39429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.942343977,0.974 +39433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.514526261,0.974 +39432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,7.547215645,0.974 +39434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.992711078,0.974 +39435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.848411823,0.974 +39437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.606262726,0.974 +39436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.697076188,0.974 +39438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.255191686,0.974 +39440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.13824763,0.974 +39439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.529086898,0.974 +39441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.430884362,0.974 +39442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.924312689,0.974 +39443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.050588399,0.974 +39445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.436483051,0.974 +39446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.339834819,0.974 +39444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.91565469,0.974 +39447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.827365827,0.974 +39449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,10.05938816,0.974 +39448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.909716686,0.974 +39450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.871863995,0.974 +39451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.149025439,0.974 +39453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.219126653,0.974 +39452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,9.287449478,0.974 +39455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.938745048,0.974 +39456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.970295106,0.974 +39457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.648007118,0.974 +39454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.534549824,0.974 +39459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.777787386,0.974 +39458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,7.289568573,0.974 +39460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.52199419,0.974 +39464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.209599961,0.974 +39463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.948305263,0.974 +39462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.090282264,0.974 +39461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.309995851,0.974 +39466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.868599178,0.974 +39467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.832462964,0.974 +39468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.700926001,0.974 +39465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.131099125,0.974 +39469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,7.326853179,0.974 +39471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.8807034,0.974 +39470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,9.566110611,0.974 +39472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.61191577,0.974 +39473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.453940601,0.974 +39475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.792232963,0.974 +39476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.670983148,0.974 +39477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.717731927,0.974 +39474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.951495743,0.974 +39478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,8.318573416,0.974 +39479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.850734737,0.974 +39480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.254300839,0.974 +39483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.66941517,0.974 +39482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.946255894,0.974 +39481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.054765522,0.974 +39484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.261399245,0.974 +39486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.618040373,0.974 +39485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.517681701,0.974 +39488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.971821786,0.974 +39487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.61107365,0.974 +39489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.33171393,0.974 +39490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.190390747,0.974 +39491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.456210206,0.974 +39492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.839204952,0.974 +39493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.013686304,0.974 +39494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.745299894,0.974 +39495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,8.800718613,0.974 +39497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.028134713,0.974 +39498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,7.284665467,0.974 +39499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.792296753,0.974 +39501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.241463635,0.974 +39496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,11.76070865,0.974 +39500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.670164554,0.974 +39502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.76967742,0.974 +39503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,10.7582967,0.974 +39505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.397988269,0.974 +39504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.388653216,0.974 +39506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.478329356,0.974 +39507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.427981486,0.974 +39508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.521033369,0.974 +39509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.594024215,0.974 +39510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.453823718,0.974 +39511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.410101485,0.974 +39512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.923030743,0.974 +39516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.540959557,0.974 +39513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.399221082,0.974 +39514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.778339123,0.974 +39515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.155577732,0.974 +39520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.572468046,0.974 +39517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.827363288,0.974 +39519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,-2.978162519,0.974 +39521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.651747281,0.974 +39522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.983700526,0.974 +39523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.737073858,0.974 +39518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.622472041,0.974 +39525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.353290759,0.974 +39524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.324601219,0.974 +39526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.172738934,0.974 +39527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.894253787,0.974 +39530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.417669587,0.974 +39529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.730809311,0.974 +39528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.235493928,0.974 +39531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.465946366,0.974 +39533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.9920912,0.974 +39534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.540877691,0.974 +39532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.504844122,0.974 +39536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.13190785,0.974 +39537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.977181495,0.974 +39535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.833148914,0.974 +39538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,9.791269693,0.974 +39539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.142847425,0.974 +39540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.347420559,0.974 +39543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.966906646,0.974 +39541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.443593367,0.974 +39544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,15.591676,0.974 +39542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.524942399,0.974 +39547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.746839383,0.974 +39546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.078239855,0.974 +39548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.987498518,0.974 +39545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.428484092,0.974 +39551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.464270066,0.974 +39550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.860066928,0.974 +39552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.212611799,0.974 +39549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.040948961,0.974 +39553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.928350245,0.974 +39555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.901174386,0.974 +39556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,7.32265635,0.974 +39557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.180213778,0.974 +39558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.018087196,0.974 +39554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.897076137,0.974 +39559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.292165765,0.974 +39560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.878592684,0.974 +39561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.804635642,0.974 +39562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.112574362,0.974 +39563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.401025057,0.974 +39565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.598780661,0.974 +39564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.965362328,0.974 +39566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,10.13262522,0.974 +39568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.142893998,0.974 +39569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.138677512,0.974 +39567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.634819367,0.974 +39570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.31279958,0.974 +39571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.653983171,0.974 +39572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.311453974,0.974 +39573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.98602321,0.974 +39574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.439997009,0.974 +39575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.102202951,0.974 +39576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.240139333,0.974 +39577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.305550273,0.974 +39579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.791556854,0.974 +39580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.907281288,0.974 +39578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,7.859795964,0.974 +39581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.612466797,0.974 +39582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.999654551,0.974 +39583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.198312736,0.974 +39584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,9.388319247,0.974 +39585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.035218311,0.974 +39586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.249668382,0.974 +39587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.555703369,0.974 +39588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.52494587,0.974 +39590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.013615896,0.974 +39591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,-0.258682072,0.974 +39589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.022593162,0.974 +39592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.497908088,0.974 +39593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.323919878,0.974 +39594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.424206806,0.974 +39595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,-0.10896782,0.974 +39597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.170534522,0.974 +39596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.106796231,0.974 +39598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,7.467983427,0.974 +39599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.984545913,0.974 +39600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.394707712,0.974 +39601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.411852175,0.974 +39602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.905809796,0.974 +39603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.166443049,0.974 +39604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.166669476,0.974 +39605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.762216489,0.974 +39606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.863520658,0.974 +39607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.358761,0.974 +39608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.277705073,0.974 +39610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,-0.436738559,0.974 +39611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.329123629,0.974 +39612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,-0.220667448,0.974 +39609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,7.225012646,0.974 +39613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.866170385,0.974 +39614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.779355267,0.974 +39615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.696539559,0.974 +39616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.776774257,0.974 +39617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.445380524,0.974 +39618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.379046148,0.974 +39619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.013166381,0.974 +39620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.973844186,0.974 +39621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.285224467,0.974 +39623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.972441581,0.974 +39622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.821295027,0.974 +39624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.676498419,0.974 +39625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.949221397,0.974 +39627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.349059131,0.974 +39626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.180984566,0.974 +39629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,7.384526063,0.974 +39630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,7.812627113,0.974 +39631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.832609567,0.974 +39632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.677447856,0.974 +39628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,11.15056303,0.974 +39634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.444259874,0.974 +39633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,10.34163499,0.974 +39635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,8.567533261,0.974 +39637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,9.237898922,0.974 +39636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.569843183,0.974 +39638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.539293772,0.974 +39639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.510579691,0.974 +39640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.340199654,0.974 +39641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,-0.189757554,0.974 +39642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.230397041,0.974 +39643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.994216517,0.974 +39644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.380752199,0.974 +39646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.47539646,0.974 +39645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.651840139,0.974 +39647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,7.417857526,0.974 +39648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.964796055,0.974 +39649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.646924455,0.974 +39651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.482695904,0.974 +39652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.261850251,0.974 +39650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.823846244,0.974 +39653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.31720193,0.974 +39655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.358706857,0.974 +39654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.490950722,0.974 +39657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.808318302,0.974 +39659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.666788061,0.974 +39656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.676893215,0.974 +39658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.133900425,0.974 +39660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.177063213,0.974 +39661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.794299099,0.974 +39663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,7.143943413,0.974 +39662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.445012543,0.974 +39664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.11346705,0.974 +39665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.906540207,0.974 +39666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.702694039,0.974 +39667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.190770188,0.974 +39668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.214960258,0.974 +39669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.198617874,0.974 +39670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.57198833,0.974 +39673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.689255714,0.974 +39672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.738796922,0.974 +39674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.232167183,0.974 +39675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.863903033,0.974 +39671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.633327106,0.974 +39676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.920425492,0.974 +39678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.614447688,0.974 +39677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.363295209,0.974 +39680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.795418564,0.974 +39679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.098835401,0.974 +39682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.925135458,0.974 +39683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.672726789,0.974 +39681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.148755512,0.974 +39684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.630344399,0.974 +39685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.359914826,0.974 +39686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.470174379,0.974 +39687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.681401921,0.974 +39689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.173859954,0.974 +39688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.470247638,0.974 +39691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.741381888,0.974 +39692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.16431632,0.974 +39690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.734038108,0.974 +39693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.299837748,0.974 +39694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.740402157,0.974 +39695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.997757088,0.974 +39696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.68424081,0.974 +39697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.821360203,0.974 +39699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.361898544,0.974 +39698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.593871612,0.974 +39700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,-2.179170874,0.974 +39702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.511611621,0.974 +39704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.630871658,0.974 +39703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.215670244,0.974 +39701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.033465378,0.974 +39707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.191495469,0.974 +39708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.625929796,0.974 +39709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.359138439,0.974 +39705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.916367969,0.974 +39706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,8.161644201,0.974 +39710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.217506431,0.974 +39712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.502345342,0.974 +39713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.668561277,0.974 +39711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.196664946,0.974 +39714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,7.605612757,0.974 +39715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,9.715583626,0.974 +39716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.280282062,0.974 +39717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.896532817,0.974 +39719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.796535289,0.974 +39720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.736324566,0.974 +39721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,7.849905721,0.974 +39722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.354659304,0.974 +39718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.728996145,0.974 +39724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.102566423,0.974 +39723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,8.148125998,0.974 +39725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,9.504827735,0.974 +39726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.702582427,0.974 +39727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.734463168,0.974 +39729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.874203109,0.974 +39728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.909942475,0.974 +39730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.589647751,0.974 +39731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.717955316,0.974 +39732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,-0.5524033,0.974 +39733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.930402407,0.974 +39734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.164583794,0.974 +39735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.761577969,0.974 +39736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.113293723,0.974 +39737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.596749757,0.974 +39739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.454209582,0.974 +39741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.508954244,0.974 +39740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.833408712,0.974 +39742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.977784695,0.974 +39738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.422194256,0.974 +39744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.172502571,0.974 +39743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,8.240964376,0.974 +39746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.022029366,0.974 +39745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.290549736,0.974 +39747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.785309083,0.974 +39748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.551972803,0.974 +39749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,9.385015421,0.974 +39750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,8.223337144,0.974 +39752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.086380845,0.974 +39754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.957263176,0.974 +39753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.015793615,0.974 +39751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.843738183,0.974 +39755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,7.447110278,0.974 +39756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.666783555,0.974 +39758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,9.388170952,0.974 +39759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.582012441,0.974 +39760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.91296926,0.974 +39757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.88907904,0.974 +39761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.119655486,0.974 +39762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.96058954,0.974 +39764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.139014482,0.974 +39765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,7.156644457,0.974 +39763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.385521466,0.974 +39766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.070925236,0.974 +39767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.554157299,0.974 +39768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,8.289989368,0.974 +39769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.270493171,0.974 +39770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.929311143,0.974 +39772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,12.26891879,0.974 +39771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.738032846,0.974 +39774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.344767959,0.974 +39775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.92769375,0.974 +39773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.540454382,0.974 +39776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.216506859,0.974 +39777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.862056701,0.974 +39778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.626107293,0.974 +39779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.257496939,0.974 +39781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.075141876,0.974 +39780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,-0.54207793,0.974 +39782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,9.618345302,0.974 +39783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.347321057,0.974 +39784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.311537993,0.974 +39785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.717415057,0.974 +39786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.214126348,0.974 +39787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.120058133,0.974 +39788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.98025107,0.974 +39790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.352341152,0.974 +39789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,8.201657322,0.974 +39791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,8.57141008,0.974 +39792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.806279868,0.974 +39793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.864539099,0.974 +39795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.358836178,0.974 +39796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.805400566,0.974 +39797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.372287392,0.974 +39794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.499142046,0.974 +39798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.053241005,0.974 +39799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,8.007162589,0.974 +39800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.923110259,0.974 +39802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.73074566,0.974 +39803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.447038465,0.974 +39804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.067614999,0.974 +39801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.895864326,0.974 +39805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.290744839,0.974 +39806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.500397058,0.974 +39807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.550215245,0.974 +39808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.520020417,0.974 +39809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.980450574,0.974 +39810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.502826422,0.974 +39811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.483074652,0.974 +39813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.936738385,0.974 +39814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,8.740847817,0.974 +39815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.460940649,0.974 +39812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.512216323,0.974 +39816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,7.036996975,0.974 +39817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.065957521,0.974 +39818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.067443779,0.974 +39820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,8.796332274,0.974 +39819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.569543483,0.974 +39821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.122825519,0.974 +39822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.187152869,0.974 +39823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.795620379,0.974 +39825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,8.654565714,0.974 +39824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,8.838989922,0.974 +39827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.309034597,0.974 +39826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.944209496,0.974 +39828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.209021228,0.974 +39829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.08077965,0.974 +39831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,-0.30664893,0.974 +39830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.599040004,0.974 +39832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,8.082138252,0.974 +39834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.671737105,0.974 +39835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,10.29470125,0.974 +39836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,7.520372784,0.974 +39833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.005034781,0.974 +39837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.115057655,0.974 +39838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.136317865,0.974 +39839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.781414675,0.974 +39840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.994321033,0.974 +39841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.687141108,0.974 +39842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.810082975,0.974 +39843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.387805345,0.974 +39845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.410202621,0.974 +39844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,11.67199141,0.974 +39846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,10.07543227,0.974 +39847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.274134958,0.974 +39848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.38313162,0.974 +39850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.463432142,0.974 +39851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.169522204,0.974 +39849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.010049557,0.974 +39852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.528055025,0.974 +39853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.913508181,0.974 +39854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.617536631,0.974 +39855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.406748143,0.974 +39856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.912556421,0.974 +39857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.066070601,0.974 +39860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.310310667,0.974 +39861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.499935471,0.974 +39859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.597336085,0.974 +39858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.850681487,0.974 +39862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.793684891,0.974 +39863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.147607162,0.974 +39864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.849281139,0.974 +39865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.804543519,0.974 +39866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.024479764,0.974 +39867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.644025535,0.974 +39868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.163616757,0.974 +39869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.982944809,0.974 +39870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.50714322,0.974 +39871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.015145392,0.974 +39872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.603550738,0.974 +39874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,-1.000124974,0.974 +39875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.019057234,0.974 +39873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.786157876,0.974 +39877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.605682089,0.974 +39876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.378526363,0.974 +39878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.559761708,0.974 +39880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.489411182,0.974 +39881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.552269715,0.974 +39879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,7.155703448,0.974 +39882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.702684921,0.974 +39884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.753572603,0.974 +39885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.679723532,0.974 +39883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.58100541,0.974 +39886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.68515019,0.974 +39887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.042435616,0.974 +39888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.438974904,0.974 +39889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.137444884,0.974 +39890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.426641801,0.974 +39892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.792992307,0.974 +39893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.40179691,0.974 +39894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,-0.634166124,0.974 +39891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.851291899,0.974 +39896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.353652044,0.974 +39897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.756992812,0.974 +39898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.273168573,0.974 +39895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,12.13268732,0.974 +39899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.896789494,0.974 +39900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.782337508,0.974 +39902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.705592349,0.974 +39903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.581694083,0.974 +39904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.50634025,0.974 +39905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.89879337,0.974 +39906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.034667435,0.974 +39907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.194428639,0.974 +39901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.375082243,0.974 +39908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.488047437,0.974 +39909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.237811507,0.974 +39910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.978664979,0.974 +39911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.376428149,0.974 +39913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.411320109,0.974 +39912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.058091624,0.974 +39915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.404371612,0.974 +39914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.166540992,0.974 +39916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.097781738,0.974 +39917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,8.793317313,0.974 +39919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.21525702,0.974 +39918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.232148944,0.974 +39920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.351947931,0.974 +39921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.044726974,0.974 +39922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.92520701,0.974 +39924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,7.706161879,0.974 +39925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.635863612,0.974 +39926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.197689048,0.974 +39923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.401506398,0.974 +39928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.983613454,0.974 +39927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.820004449,0.974 +39929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.569572736,0.974 +39930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.912793163,0.974 +39931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.574378569,0.974 +39932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.13613213,0.974 +39933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.29598695,0.974 +39934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.906331421,0.974 +39935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.889991689,0.974 +39936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.984810526,0.974 +39937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.921348061,0.974 +39939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.12317991,0.974 +39938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.848565394,0.974 +39940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.437306748,0.974 +39941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,7.175762134,0.974 +39942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.511415064,0.974 +39945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.788444465,0.974 +39944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.520272602,0.974 +39943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.534322454,0.974 +39946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.073776186,0.974 +39947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.864686578,0.974 +39948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.469729041,0.974 +39950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.145885464,0.974 +39949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,7.508646225,0.974 +39952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.458801925,0.974 +39951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.658087756,0.974 +39953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,-0.107263115,0.974 +39954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.444709002,0.974 +39955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.356612835,0.974 +39956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.450189291,0.974 +39957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.857686012,0.974 +39959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.042972527,0.974 +39958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.998928914,0.974 +39960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.727392996,0.974 +39961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.907743703,0.974 +39962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.523358637,0.974 +39963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,4.568305572,0.974 +39965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.002186242,0.974 +39966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.559244175,0.974 +39968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,10.16193656,0.974 +39967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.010244868,0.974 +39969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.10228798,0.974 +39964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.740309769,0.974 +39970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.510133199,0.974 +39971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,9.96567694,0.974 +39972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,6.33009615,0.974 +39973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.344608705,0.974 +39974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.703918071,0.974 +39975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.472421531,0.974 +39976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,-0.360888787,0.974 +39977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,8.32483591,0.974 +39978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.368926721,0.974 +39979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,5.51621552,0.974 +39980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.929311408,0.974 +39981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.625242097,0.974 +39982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.457395586,0.974 +39984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.788748988,0.974 +39983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.641761778,0.974 +39986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.188261141,0.974 +39987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.739693911,0.974 +39988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.119676125,0.974 +39989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.01012521,0.974 +39985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.539828119,0.974 +39993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.704249236,0.974 +39990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.531776681,0.974 +39991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.854881702,0.974 +39992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.049833772,0.974 +39994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,3.365427512,0.974 +39995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,2.193653768,0.974 +39996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.550522061,0.974 +39997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.063044219,0.974 +39998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,1.152352724,0.974 +39999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,0.01345411,0.974 +40000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.7,10,1,8.362833693,0.974 +49001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.79575831,0.992 +49002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.835279602,0.992 +49004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.025247078,0.992 +49005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.964942736,0.992 +49006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.816398722,0.992 +49003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.031112153,0.992 +49007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.746362375,0.992 +49008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.811794215,0.992 +49009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,7.406835846,0.992 +49011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.740675756,0.992 +49012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.113431586,0.992 +49010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.736199956,0.992 +49013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.565347902,0.992 +49014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.092321747,0.992 +49015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.876399348,0.992 +49016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.900574904,0.992 +49017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.042665198,0.992 +49018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.459009409,0.992 +49019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.990567153,0.992 +49022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.560233367,0.992 +49021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.671756704,0.992 +49020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.070844105,0.992 +49023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.980812728,0.992 +49024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.43406974,0.992 +49025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.550884901,0.992 +49027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.494048008,0.992 +49028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.786098437,0.992 +49029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.007545012,0.992 +49030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.784412107,0.992 +49026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.689947994,0.992 +49032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.883892328,0.992 +49031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.946930715,0.992 +49033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.636614565,0.992 +49034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.32419707,0.992 +49035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.539517633,0.992 +49036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.572877512,0.992 +49037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.343947299,0.992 +49039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.206353488,0.992 +49040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.170976152,0.992 +49038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.103035759,0.992 +49041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.887271964,0.992 +49042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.354527075,0.992 +49043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.00296106,0.992 +49044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.31414604,0.992 +49045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.377521804,0.992 +49046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.363725836,0.992 +49047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.469123574,0.992 +49049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.512405678,0.992 +49048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.385801133,0.992 +49050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.46613483,0.992 +49051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.588051526,0.992 +49052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.335990039,0.992 +49054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.740957966,0.992 +49053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.634495643,0.992 +49055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.016360848,0.992 +49056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.09673305,0.992 +49057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.143690733,0.992 +49059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.092063149,0.992 +49058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.66326433,0.992 +49060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.781451676,0.992 +49061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.329835205,0.992 +49062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.815094553,0.992 +49064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.389122533,0.992 +49065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.158375591,0.992 +49066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.76068011,0.992 +49063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.193588266,0.992 +49069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.551576895,0.992 +49068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.800461151,0.992 +49067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.584845646,0.992 +49071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.839862486,0.992 +49072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.265715378,0.992 +49073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.570146949,0.992 +49070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.204743805,0.992 +49074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.082567535,0.992 +49075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.951851833,0.992 +49076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.261325179,0.992 +49078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.435617349,0.992 +49077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.95115629,0.992 +49079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.245247032,0.992 +49081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.206569596,0.992 +49083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.02534578,0.992 +49082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.537168868,0.992 +49080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.724615582,0.992 +49084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.677108471,0.992 +49085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.127811026,0.992 +49087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.544440956,0.992 +49088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.457048013,0.992 +49089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.116069294,0.992 +49086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.88681792,0.992 +49090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.188222443,0.992 +49091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.811732635,0.992 +49092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.425835666,0.992 +49094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.972693399,0.992 +49093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.046323255,0.992 +49095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.225997802,0.992 +49096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.643769474,0.992 +49097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.47254438,0.992 +49098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.65959896,0.992 +49099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,8.651125957,0.992 +49100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.215864932,0.992 +49103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.795670176,0.992 +49102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.976600656,0.992 +49104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.107063943,0.992 +49101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.996390961,0.992 +49105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.371797144,0.992 +49108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.624506471,0.992 +49107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.125597549,0.992 +49106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.464778719,0.992 +49109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.019661813,0.992 +49110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.738632535,0.992 +49111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.892825935,0.992 +49112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.296036462,0.992 +49113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.85022478,0.992 +49114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.52829907,0.992 +49115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.189611695,0.992 +49116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.320004426,0.992 +49117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.28017348,0.992 +49119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.115101036,0.992 +49120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.2052881,0.992 +49121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.464404867,0.992 +49122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.962048239,0.992 +49118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.384694318,0.992 +49124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.430999191,0.992 +49125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.794937636,0.992 +49123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.180479447,0.992 +49126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.463870239,0.992 +49127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.673974515,0.992 +49128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.574403939,0.992 +49130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.987436299,0.992 +49129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.762881088,0.992 +49131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.537955748,0.992 +49134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.310833094,0.992 +49132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.963008579,0.992 +49133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.620303657,0.992 +49135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.229520897,0.992 +49137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.440268678,0.992 +49138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.285717841,0.992 +49139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,8.207935515,0.992 +49136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.376602546,0.992 +49140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,7.470858861,0.992 +49141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.333965434,0.992 +49143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.509043124,0.992 +49142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.041463747,0.992 +49144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.259704151,0.992 +49145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.013532761,0.992 +49147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.960223398,0.992 +49146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.954595822,0.992 +49148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,14.64730258,0.992 +49149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.018630751,0.992 +49151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.049205894,0.992 +49150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.602431037,0.992 +49152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.444392311,0.992 +49155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.026583251,0.992 +49153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.635221551,0.992 +49154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.07470512,0.992 +49156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.943601706,0.992 +49159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.007872312,0.992 +49158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.75877622,0.992 +49157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.769666286,0.992 +49161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.291604378,0.992 +49162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.175120289,0.992 +49163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.933087107,0.992 +49160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.310473302,0.992 +49164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.854416148,0.992 +49165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.643266068,0.992 +49166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.55124201,0.992 +49167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.899898701,0.992 +49168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.297418529,0.992 +49169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,7.000407062,0.992 +49171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.947419464,0.992 +49172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.090823317,0.992 +49170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.692157348,0.992 +49173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.242110185,0.992 +49175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.107930487,0.992 +49176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.902229508,0.992 +49177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,8.598983872,0.992 +49178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.638419197,0.992 +49174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.602325938,0.992 +49179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.308198497,0.992 +49180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.536248138,0.992 +49181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.244060674,0.992 +49182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.129826225,0.992 +49183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.713967366,0.992 +49186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.324470263,0.992 +49185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.36149193,0.992 +49184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.530400821,0.992 +49188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.546087274,0.992 +49189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.491363582,0.992 +49187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.260778364,0.992 +49190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.384009963,0.992 +49192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.688669208,0.992 +49194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.250395217,0.992 +49193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.27553519,0.992 +49195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.449233,0.992 +49191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.965761354,0.992 +49197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.793571497,0.992 +49196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.980935516,0.992 +49199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,7.675404471,0.992 +49198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.903362498,0.992 +49200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.3107041,0.992 +49201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.497453236,0.992 +49204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.816272129,0.992 +49202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.42613967,0.992 +49203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.114732857,0.992 +49205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.236249131,0.992 +49207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.802896368,0.992 +49208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.780146123,0.992 +49210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.835087675,0.992 +49209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.313905734,0.992 +49211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.762031304,0.992 +49206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.801170374,0.992 +49215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.405867749,0.992 +49214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,7.246538493,0.992 +49213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.027244561,0.992 +49212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.004076113,0.992 +49216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.345380192,0.992 +49217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.22046545,0.992 +49219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.366131145,0.992 +49218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.663522046,0.992 +49221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.374845721,0.992 +49220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.903050122,0.992 +49222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.58382871,0.992 +49223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.945075761,0.992 +49224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.584973211,0.992 +49226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.196735946,0.992 +49227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.346252883,0.992 +49225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.87038669,0.992 +49228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.301558006,0.992 +49230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.786761671,0.992 +49229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.691059778,0.992 +49231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.353330575,0.992 +49232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.065227782,0.992 +49234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.269126704,0.992 +49233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.565895398,0.992 +49235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.598697092,0.992 +49236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.861402955,0.992 +49238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.047793767,0.992 +49237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.391141139,0.992 +49240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.812184643,0.992 +49239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.973679855,0.992 +49243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.994946983,0.992 +49241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.506431961,0.992 +49242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.002938249,0.992 +49244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.879377451,0.992 +49245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.87600451,0.992 +49246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.347472755,0.992 +49248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.42725078,0.992 +49249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.157092827,0.992 +49247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.690608837,0.992 +49250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.058653832,0.992 +49251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.063382025,0.992 +49252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.433232128,0.992 +49253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.383591424,0.992 +49255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.861917198,0.992 +49256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.89779981,0.992 +49254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.829325936,0.992 +49257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.542542509,0.992 +49258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.856026775,0.992 +49259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.236481874,0.992 +49260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.165145516,0.992 +49261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.832229255,0.992 +49262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.15485664,0.992 +49263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.455238777,0.992 +49264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.180826561,0.992 +49266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.83808479,0.992 +49267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.08313804,0.992 +49265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.559587631,0.992 +49268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.570957894,0.992 +49269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.841181468,0.992 +49270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.593777004,0.992 +49273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.327764188,0.992 +49272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.339672793,0.992 +49274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.698592354,0.992 +49271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,7.575208532,0.992 +49276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.079706929,0.992 +49275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.558405703,0.992 +49277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.545925305,0.992 +49278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.607936497,0.992 +49280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.158997777,0.992 +49281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.860215304,0.992 +49282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.613247348,0.992 +49279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,11.23871121,0.992 +49283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.858498157,0.992 +49284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.058283648,0.992 +49287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.238693936,0.992 +49286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.786290401,0.992 +49288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.020407774,0.992 +49285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.132984194,0.992 +49290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.174152116,0.992 +49289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.605133974,0.992 +49291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.675973658,0.992 +49292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,7.776639996,0.992 +49293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.69269793,0.992 +49294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.603780113,0.992 +49295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.598849318,0.992 +49296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.572494749,0.992 +49297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.991870326,0.992 +49298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.286940093,0.992 +49299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.662150651,0.992 +49302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.063727525,0.992 +49300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,8.673786807,0.992 +49303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.510154644,0.992 +49301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.789869692,0.992 +49305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.633773618,0.992 +49306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.234902951,0.992 +49304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.533305024,0.992 +49307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.872530303,0.992 +49310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.227924894,0.992 +49308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.164642523,0.992 +49309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.936113219,0.992 +49311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.731734132,0.992 +49312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.949482221,0.992 +49313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.16111568,0.992 +49314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.208627389,0.992 +49315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.717859941,0.992 +49316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.473017632,0.992 +49318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.910279563,0.992 +49319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.619630397,0.992 +49317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.496913041,0.992 +49321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.860943174,0.992 +49320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.164851523,0.992 +49322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,8.140904571,0.992 +49323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.569839801,0.992 +49324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.833848641,0.992 +49325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.686640298,0.992 +49326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.351110017,0.992 +49327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.543885594,0.992 +49328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.640140754,0.992 +49329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.622016945,0.992 +49330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.338880823,0.992 +49332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.408315393,0.992 +49333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.543001459,0.992 +49331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.891023237,0.992 +49335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.076402663,0.992 +49336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.344219001,0.992 +49337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.287708073,0.992 +49334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.14159684,0.992 +49338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,7.638290723,0.992 +49339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.205160023,0.992 +49341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.968937522,0.992 +49340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.910981728,0.992 +49342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.907861041,0.992 +49343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.812987187,0.992 +49344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.763219727,0.992 +49346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.251532547,0.992 +49345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,-0.150008494,0.992 +49347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,7.847744007,0.992 +49348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.505877237,0.992 +49349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.581746225,0.992 +49351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.178128522,0.992 +49352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.201915519,0.992 +49350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.275053302,0.992 +49353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.483503626,0.992 +49354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.851571819,0.992 +49356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.525292359,0.992 +49357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.92605478,0.992 +49358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.175978529,0.992 +49355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.07146964,0.992 +49359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.126966311,0.992 +49360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.900448001,0.992 +49361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.434754536,0.992 +49363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.875240364,0.992 +49364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.240340722,0.992 +49362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.334655652,0.992 +49365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.695434242,0.992 +49367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.561043415,0.992 +49366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,13.02777927,0.992 +49368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.832438494,0.992 +49369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.975294114,0.992 +49371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.785148104,0.992 +49372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.367121278,0.992 +49373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.735992841,0.992 +49374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.976299565,0.992 +49370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.63706236,0.992 +49376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.090213091,0.992 +49377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.10282988,0.992 +49378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.901731956,0.992 +49375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.283051695,0.992 +49379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.457989285,0.992 +49380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.590579422,0.992 +49381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,7.118319289,0.992 +49382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.163487464,0.992 +49383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.647266303,0.992 +49384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.051628515,0.992 +49385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.788730776,0.992 +49388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.896601945,0.992 +49387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.497495586,0.992 +49386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.163428311,0.992 +49391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.534678965,0.992 +49390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.553947165,0.992 +49389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.303386435,0.992 +49392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.046948804,0.992 +49394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.744150121,0.992 +49393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.182853081,0.992 +49395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.395679624,0.992 +49396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.135336598,0.992 +49397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.619271188,0.992 +49398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.313369975,0.992 +49399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,9.175119351,0.992 +49401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.872078062,0.992 +49402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.76763205,0.992 +49403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.473553017,0.992 +49400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.386163562,0.992 +49404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.045844897,0.992 +49405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.322909813,0.992 +49407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.641499063,0.992 +49408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.933253615,0.992 +49406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.536800296,0.992 +49409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,7.128226486,0.992 +49410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.769068646,0.992 +49412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,8.111990612,0.992 +49413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.987596415,0.992 +49411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,10.5161567,0.992 +49414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.860668231,0.992 +49415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.563197236,0.992 +49416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.8779655,0.992 +49417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.974096308,0.992 +49419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.248133412,0.992 +49420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.18688985,0.992 +49421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.128795692,0.992 +49418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.472644713,0.992 +49422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.580381052,0.992 +49424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.510958307,0.992 +49423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.962434104,0.992 +49425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.907294701,0.992 +49428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,8.845295146,0.992 +49426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.86681508,0.992 +49429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.246693971,0.992 +49427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.067046954,0.992 +49430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.295156191,0.992 +49431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.082009696,0.992 +49433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.954958259,0.992 +49434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.367446104,0.992 +49435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.933421386,0.992 +49436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.084198643,0.992 +49437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.913212509,0.992 +49438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.603608233,0.992 +49432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.736360409,0.992 +49439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.361996215,0.992 +49441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.813206861,0.992 +49440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.050075254,0.992 +49442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.01668328,0.992 +49443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.348715525,0.992 +49444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.21810753,0.992 +49445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.389639988,0.992 +49446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.309131237,0.992 +49447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.833287128,0.992 +49448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.003145923,0.992 +49449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.969494062,0.992 +49451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.42659328,0.992 +49452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.345871358,0.992 +49453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.820061298,0.992 +49454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.664794938,0.992 +49455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.288141969,0.992 +49450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.927101914,0.992 +49456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.11520329,0.992 +49459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,-0.006559856,0.992 +49457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.892751016,0.992 +49458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.387282253,0.992 +49460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.692525493,0.992 +49462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.837619774,0.992 +49463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.864961125,0.992 +49461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.607447714,0.992 +49464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.921735432,0.992 +49465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.047062963,0.992 +49466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.876518002,0.992 +49467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.399639693,0.992 +49468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.353632301,0.992 +49470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.000341704,0.992 +49469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.898302784,0.992 +49472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,8.875447923,0.992 +49473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.461080417,0.992 +49471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.018555805,0.992 +49474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,7.793296823,0.992 +49475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.290407519,0.992 +49476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.34595093,0.992 +49477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.058542516,0.992 +49478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.367007063,0.992 +49479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.548105835,0.992 +49480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.626215856,0.992 +49481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.170143017,0.992 +49482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.581900505,0.992 +49483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.998684378,0.992 +49484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.141478227,0.992 +49486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.038225837,0.992 +49485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.457631846,0.992 +49487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.835308271,0.992 +49488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.059347536,0.992 +49489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.871252527,0.992 +49490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.579229206,0.992 +49493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.23625631,0.992 +49492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.889133415,0.992 +49491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.727553394,0.992 +49494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.561548635,0.992 +49495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.042636132,0.992 +49496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.593994959,0.992 +49497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.986946183,0.992 +49498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.516823614,0.992 +49500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.769070242,0.992 +49499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.022518496,0.992 +49501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.21953283,0.992 +49502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.338599589,0.992 +49503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.785845465,0.992 +49504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.086438714,0.992 +49506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.335246217,0.992 +49508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.686896615,0.992 +49505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.920548665,0.992 +49509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.276407663,0.992 +49510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.505499636,0.992 +49507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.187082154,0.992 +49511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.697056833,0.992 +49512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.523711355,0.992 +49513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.54389529,0.992 +49514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.602796201,0.992 +49515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.520358665,0.992 +49516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.023907169,0.992 +49520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,-0.345571689,0.992 +49517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.153726587,0.992 +49518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,13.4779773,0.992 +49519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.461466946,0.992 +49522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,7.564228339,0.992 +49521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.801858184,0.992 +49523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.145606708,0.992 +49524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.187918972,0.992 +49525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.155728245,0.992 +49527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.334865739,0.992 +49529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.819698819,0.992 +49528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.07808282,0.992 +49526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.474656884,0.992 +49531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.082536666,0.992 +49530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.41293315,0.992 +49532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.322911601,0.992 +49533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.962727447,0.992 +49536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.99958728,0.992 +49534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.903516353,0.992 +49535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.446239785,0.992 +49537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,8.882229569,0.992 +49539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.555597672,0.992 +49540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.338566445,0.992 +49541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.735829562,0.992 +49542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.529535433,0.992 +49543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.388436989,0.992 +49538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.002931628,0.992 +49545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.681545367,0.992 +49546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.951897894,0.992 +49544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.293966343,0.992 +49547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.423997282,0.992 +49548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.180191241,0.992 +49550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.852609389,0.992 +49551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.865979197,0.992 +49549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.274127601,0.992 +49553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.178216606,0.992 +49552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,7.110087514,0.992 +49555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.970238117,0.992 +49554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.905198478,0.992 +49556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.714860809,0.992 +49557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.900547324,0.992 +49558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.0439938,0.992 +49560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.779702986,0.992 +49561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.123745569,0.992 +49562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.082957803,0.992 +49559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.131102133,0.992 +49564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.779071843,0.992 +49565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.94604997,0.992 +49563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.989184437,0.992 +49566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.564603118,0.992 +49567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,11.07729294,0.992 +49569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.414421015,0.992 +49568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.661004031,0.992 +49570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.02598481,0.992 +49571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,8.154423598,0.992 +49572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.081703191,0.992 +49573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.914601564,0.992 +49574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.97677067,0.992 +49575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.658097773,0.992 +49576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.480748573,0.992 +49577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.289994234,0.992 +49579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.005036347,0.992 +49581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.487696139,0.992 +49580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.285576501,0.992 +49578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,7.495663374,0.992 +49582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.42201227,0.992 +49583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.846718881,0.992 +49585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.475029851,0.992 +49584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.924131506,0.992 +49586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.237940784,0.992 +49587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.002660013,0.992 +49588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.547624625,0.992 +49590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.337691314,0.992 +49589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.264140241,0.992 +49591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.41407475,0.992 +49592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.230469996,0.992 +49593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.179496124,0.992 +49595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.07137061,0.992 +49594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.941762143,0.992 +49598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.001000407,0.992 +49596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.644296684,0.992 +49599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.397017702,0.992 +49600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.832949503,0.992 +49601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.61282726,0.992 +49597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.866919173,0.992 +49603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.136140184,0.992 +49604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.792173221,0.992 +49602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,11.20161606,0.992 +49606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.822218348,0.992 +49607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.280597121,0.992 +49605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,7.269619138,0.992 +49608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.67272582,0.992 +49610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.425616069,0.992 +49611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.45609184,0.992 +49609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.765860036,0.992 +49613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.134278169,0.992 +49614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.603312616,0.992 +49615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.234582091,0.992 +49612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.968730286,0.992 +49616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.127804747,0.992 +49618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.966054297,0.992 +49620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.731887527,0.992 +49619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.986508562,0.992 +49621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.418736625,0.992 +49617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.058514752,0.992 +49622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.684793663,0.992 +49623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.620959456,0.992 +49625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.312565471,0.992 +49624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.350235994,0.992 +49627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.947233606,0.992 +49626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.93234029,0.992 +49628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.349176699,0.992 +49629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.718457673,0.992 +49631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.987994275,0.992 +49632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.947200192,0.992 +49633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,-0.56545858,0.992 +49634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.130745055,0.992 +49635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.526418879,0.992 +49636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.914908817,0.992 +49630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.370905143,0.992 +49637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.152839892,0.992 +49640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.549660512,0.992 +49639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,-0.233806743,0.992 +49638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.914842371,0.992 +49641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.492939363,0.992 +49642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.276336552,0.992 +49643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,8.426575963,0.992 +49644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.267906617,0.992 +49645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.273263077,0.992 +49646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.379516914,0.992 +49647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,9.93599097,0.992 +49648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.927759269,0.992 +49649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.704848636,0.992 +49651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.678303493,0.992 +49652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.412386055,0.992 +49653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.174738929,0.992 +49655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.851541413,0.992 +49650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,7.443635322,0.992 +49654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.125576245,0.992 +49656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.48589957,0.992 +49658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.473326225,0.992 +49657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.381238708,0.992 +49659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.578998931,0.992 +49660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,7.231462683,0.992 +49661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.66397404,0.992 +49662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.383626045,0.992 +49664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.74605069,0.992 +49663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,7.688686399,0.992 +49666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.660036992,0.992 +49665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.068925422,0.992 +49667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.031695008,0.992 +49668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.893891079,0.992 +49669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.143331403,0.992 +49671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.241356635,0.992 +49672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.89443582,0.992 +49673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.13115246,0.992 +49670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.74600318,0.992 +49674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.068312677,0.992 +49675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.841309427,0.992 +49676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.16757419,0.992 +49678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.819956619,0.992 +49677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.85160259,0.992 +49679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.743840052,0.992 +49680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.792186951,0.992 +49681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.883988828,0.992 +49682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.040224642,0.992 +49683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.796177591,0.992 +49684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.65481897,0.992 +49685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.593327393,0.992 +49687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.142209232,0.992 +49688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,7.004865075,0.992 +49689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.180740564,0.992 +49690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.586303275,0.992 +49691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.477405734,0.992 +49692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.776148479,0.992 +49686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.359432904,0.992 +49693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.891748099,0.992 +49694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.399554984,0.992 +49696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.550752773,0.992 +49695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.598435053,0.992 +49697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,7.187967542,0.992 +49698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.423115756,0.992 +49699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.285314944,0.992 +49700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.341286378,0.992 +49701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.399923317,0.992 +49702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,9.040434185,0.992 +49703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.125138224,0.992 +49704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.220249881,0.992 +49705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,7.32184579,0.992 +49706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.511520036,0.992 +49707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.039194764,0.992 +49710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.310293516,0.992 +49709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.414905566,0.992 +49711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.690063564,0.992 +49713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.51979553,0.992 +49712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.998003753,0.992 +49714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.443616631,0.992 +49708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.983965455,0.992 +49715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.516270407,0.992 +49716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.478417353,0.992 +49717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.066470132,0.992 +49718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.935367993,0.992 +49720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.434617746,0.992 +49721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.827263661,0.992 +49722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.067859414,0.992 +49719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.084780196,0.992 +49723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.700806645,0.992 +49724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.292557571,0.992 +49725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.717218308,0.992 +49727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,10.92950119,0.992 +49728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.866569009,0.992 +49726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.038798421,0.992 +49730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.089276003,0.992 +49731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.121482447,0.992 +49732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.515920032,0.992 +49729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.327733133,0.992 +49735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.740072701,0.992 +49734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.483089358,0.992 +49733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.835119933,0.992 +49736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.551238159,0.992 +49739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.740170542,0.992 +49737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,7.349267173,0.992 +49738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.212677296,0.992 +49741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.349999556,0.992 +49742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.884703353,0.992 +49740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.500483116,0.992 +49744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.561997372,0.992 +49745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.160380616,0.992 +49743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.431847357,0.992 +49746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.907785397,0.992 +49749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.071667375,0.992 +49748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.656586453,0.992 +49747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.002194817,0.992 +49751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.730262774,0.992 +49752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.906406336,0.992 +49750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.952410813,0.992 +49753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.366343619,0.992 +49754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.79938655,0.992 +49756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.180898743,0.992 +49755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.025601695,0.992 +49757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.734419884,0.992 +49759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.21786899,0.992 +49760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.478096007,0.992 +49761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.093301944,0.992 +49758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.354495794,0.992 +49763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.07163246,0.992 +49762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.613551104,0.992 +49764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.788491257,0.992 +49765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.399578888,0.992 +49767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.771908905,0.992 +49766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.605592357,0.992 +49768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.638660835,0.992 +49769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.243627159,0.992 +49770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.282124654,0.992 +49773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.071994806,0.992 +49772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.19588303,0.992 +49771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.580537365,0.992 +49774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.284232807,0.992 +49776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.474504634,0.992 +49777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.11177666,0.992 +49775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.885381138,0.992 +49778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.425337984,0.992 +49779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.131944893,0.992 +49780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.730598581,0.992 +49781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.597461667,0.992 +49782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.091599668,0.992 +49783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.105567513,0.992 +49785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.232404639,0.992 +49786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.963016087,0.992 +49787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,8.320665918,0.992 +49784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.305853579,0.992 +49788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.496038516,0.992 +49789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.862310549,0.992 +49790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.569661274,0.992 +49791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.003357711,0.992 +49793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.92225369,0.992 +49792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.313473314,0.992 +49794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.387542399,0.992 +49795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.245072652,0.992 +49796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.585712532,0.992 +49797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.412015272,0.992 +49798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.530884932,0.992 +49801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.670149353,0.992 +49800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.86751902,0.992 +49802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.790076842,0.992 +49803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,7.321733846,0.992 +49804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.55922244,0.992 +49805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.459629732,0.992 +49799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.988501418,0.992 +49806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.044575531,0.992 +49807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.17592186,0.992 +49808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.29264392,0.992 +49810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.587148683,0.992 +49809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.587616001,0.992 +49811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.15288664,0.992 +49812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.227694616,0.992 +49813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.742920825,0.992 +49814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.600497387,0.992 +49815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.457274466,0.992 +49816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.072936162,0.992 +49817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.056526433,0.992 +49819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.164657805,0.992 +49818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.115967844,0.992 +49820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.861296733,0.992 +49821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.36260019,0.992 +49822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.328820606,0.992 +49823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.949251872,0.992 +49824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.736418119,0.992 +49826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.170639765,0.992 +49825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.509137016,0.992 +49827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.129761544,0.992 +49829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.669399056,0.992 +49830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.591825563,0.992 +49831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.947979508,0.992 +49832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.669717153,0.992 +49833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.255647894,0.992 +49828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.95949989,0.992 +49834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.606920028,0.992 +49836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,10.92205026,0.992 +49835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,7.752653761,0.992 +49837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,7.624662445,0.992 +49840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.239330384,0.992 +49839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.814798542,0.992 +49838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,8.569003994,0.992 +49841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.415076615,0.992 +49842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.512845304,0.992 +49843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,10.57178004,0.992 +49845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.312536198,0.992 +49844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.401567764,0.992 +49846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.716307325,0.992 +49847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.89137801,0.992 +49849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.475405373,0.992 +49850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,8.764103063,0.992 +49851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,9.021075286,0.992 +49852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.749480481,0.992 +49848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.025153954,0.992 +49854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.62902031,0.992 +49853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.05788116,0.992 +49856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.317569455,0.992 +49855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,9.054041337,0.992 +49857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.308711523,0.992 +49858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,-0.1588591,0.992 +49861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.059277685,0.992 +49859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.040435454,0.992 +49860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.554575611,0.992 +49862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.95407175,0.992 +49863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.980611198,0.992 +49864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.750174995,0.992 +49865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.813542784,0.992 +49866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.174459249,0.992 +49868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,9.95073258,0.992 +49867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.014864081,0.992 +49869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.864123855,0.992 +49870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.582310886,0.992 +49871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.620374623,0.992 +49872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.455053403,0.992 +49874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.621359144,0.992 +49875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.79833046,0.992 +49876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,7.47187477,0.992 +49877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.877776232,0.992 +49873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.614041965,0.992 +49878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.417763287,0.992 +49879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.281929627,0.992 +49880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.192543327,0.992 +49882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.821417271,0.992 +49884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.502229346,0.992 +49881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.540186789,0.992 +49883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.21997717,0.992 +49885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.54710041,0.992 +49887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.543183296,0.992 +49888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.63519942,0.992 +49886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.852191117,0.992 +49889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.021528697,0.992 +49891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,10.86915745,0.992 +49892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.711084875,0.992 +49893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.460481508,0.992 +49894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.905058027,0.992 +49890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.501002693,0.992 +49895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.483555801,0.992 +49896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.242078835,0.992 +49899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.298497386,0.992 +49897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.265842994,0.992 +49898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.003617075,0.992 +49900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.723920121,0.992 +49901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.998436453,0.992 +49903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.855434863,0.992 +49902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.328676442,0.992 +49904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.472616947,0.992 +49905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.548241077,0.992 +49906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.277976911,0.992 +49907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.783048884,0.992 +49908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.560501061,0.992 +49909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.832938108,0.992 +49911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.70055552,0.992 +49912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.671833904,0.992 +49913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,7.430166326,0.992 +49914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.897351071,0.992 +49910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.122754409,0.992 +49915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,7.344334709,0.992 +49916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.562353335,0.992 +49918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.523646092,0.992 +49919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.25380242,0.992 +49917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.450850495,0.992 +49920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.051134726,0.992 +49921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.966917163,0.992 +49922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.230464509,0.992 +49923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.436436191,0.992 +49924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.568330209,0.992 +49926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.350035412,0.992 +49927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.512635208,0.992 +49925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.891704149,0.992 +49928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,9.118784416,0.992 +49929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.824903536,0.992 +49930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,-0.264824638,0.992 +49931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.325921315,0.992 +49933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.012227305,0.992 +49932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.326442057,0.992 +49935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.308737918,0.992 +49934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.552299334,0.992 +49936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.883401223,0.992 +49937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,-0.235664661,0.992 +49939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.461516533,0.992 +49940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.752085621,0.992 +49938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.734908886,0.992 +49942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.216357869,0.992 +49943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,9.114171086,0.992 +49941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.350575076,0.992 +49944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.645717276,0.992 +49945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,7.348295229,0.992 +49946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.616379022,0.992 +49947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.759814048,0.992 +49949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.420392261,0.992 +49950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,9.020378469,0.992 +49948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.383803385,0.992 +49952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.324225413,0.992 +49953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.21686562,0.992 +49951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,0.809408289,0.992 +49955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.004102604,0.992 +49954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.629895903,0.992 +49958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.180434562,0.992 +49959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.490686636,0.992 +49957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.986314669,0.992 +49956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.893538935,0.992 +49962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.288230397,0.992 +49961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,11.11094399,0.992 +49963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.998217855,0.992 +49960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.663104145,0.992 +49964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.977507455,0.992 +49967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.414221224,0.992 +49968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.209785447,0.992 +49966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.895965273,0.992 +49969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.294621276,0.992 +49965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.499545742,0.992 +49971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.071615636,0.992 +49972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,8.281343432,0.992 +49973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.491662533,0.992 +49974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.111148525,0.992 +49970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.076859857,0.992 +49976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.774730497,0.992 +49977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.924293074,0.992 +49975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.546936123,0.992 +49978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.801471358,0.992 +49979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.042255104,0.992 +49981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.718950023,0.992 +49982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.707355776,0.992 +49984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.209142683,0.992 +49980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.006434409,0.992 +49985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.119425962,0.992 +49983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.008087775,0.992 +49986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,11.74717344,0.992 +49987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.001370804,0.992 +49989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,3.970494948,0.992 +49991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.395253197,0.992 +49988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.500063729,0.992 +49990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.123010703,0.992 +49992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,4.588555914,0.992 +49993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,2.499988348,0.992 +49994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.172378712,0.992 +49995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.490894426,0.992 +49996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.242479451,0.992 +49998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,5.131034254,0.992 +49999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.787349817,0.992 +49997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,1.834220115,0.992 +50000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.6,10,1,6.120324111,0.992 +59001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.241056816,1 +59002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.775830045,1 +59003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.537412875,1 +59004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.779786752,1 +59005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.842287796,1 +59006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.114136662,1 +59008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.829270335,1 +59007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.795268693,1 +59009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.033270673,1 +59010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.690139132,1 +59012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.929968793,1 +59011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,9.138294639,1 +59013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.240097293,1 +59014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.944899279,1 +59016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.469687851,1 +59017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.333918631,1 +59018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.003933328,1 +59019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.646484414,1 +59020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.086247446,1 +59021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.235597302,1 +59022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.767542099,1 +59015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,0.994822629,1 +59023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,8.015835535,1 +59024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,7.268662422,1 +59025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.511761697,1 +59028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.753927476,1 +59027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.3252466,1 +59029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.749695099,1 +59026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.421677658,1 +59030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.86418409,1 +59032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.557153471,1 +59033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.68064899,1 +59031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.018934198,1 +59034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.636369545,1 +59035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.852394947,1 +59037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.694042392,1 +59036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.655691068,1 +59038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.171795452,1 +59039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.107073561,1 +59040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.862341637,1 +59041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.185074191,1 +59042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.40023349,1 +59043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.068134895,1 +59044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.474593361,1 +59045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.153237325,1 +59046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.470602635,1 +59047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.531868037,1 +59049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.354040897,1 +59050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.182050137,1 +59051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.058952054,1 +59052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.488057857,1 +59054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.604802962,1 +59053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.609016764,1 +59048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.251804566,1 +59057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.987476882,1 +59055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.155015229,1 +59058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.038957937,1 +59056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.810379802,1 +59059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.667489009,1 +59060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,0.958037228,1 +59061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.278207429,1 +59063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.972336279,1 +59062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.388044187,1 +59064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.565851824,1 +59065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.911395719,1 +59066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,7.305067334,1 +59067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.795565328,1 +59068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.205468555,1 +59070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.717887087,1 +59071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.013584648,1 +59069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.401156057,1 +59074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.036829967,1 +59073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.515529381,1 +59075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.295567075,1 +59072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,8.561240079,1 +59076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.445939064,1 +59077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.326666671,1 +59078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.55230563,1 +59079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.651203361,1 +59081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.405976378,1 +59080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.290367264,1 +59082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.068578808,1 +59083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.748112639,1 +59084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.032202989,1 +59085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.257086674,1 +59087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.514829147,1 +59086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.925183225,1 +59089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.102045912,1 +59088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.93321846,1 +59091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,7.22253875,1 +59092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.334006137,1 +59093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.857443351,1 +59094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.938214169,1 +59090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.288938367,1 +59095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.003769059,1 +59096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.194600037,1 +59097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.213915874,1 +59099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.681030205,1 +59100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.488191002,1 +59098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.50470962,1 +59102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.442348099,1 +59101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.552535167,1 +59103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.530057687,1 +59104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.183862813,1 +59105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,8.713737223,1 +59106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.188954481,1 +59107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.187544831,1 +59108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,7.568341834,1 +59109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.810413837,1 +59110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.260447912,1 +59111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.057405797,1 +59113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.019044805,1 +59114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.775552258,1 +59115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.133027068,1 +59116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.371920593,1 +59112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.734176542,1 +59118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,7.933583048,1 +59120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.938460353,1 +59117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.279676105,1 +59119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.758064831,1 +59121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.327377061,1 +59123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.984232883,1 +59122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.530719831,1 +59124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.592967112,1 +59125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.837228606,1 +59126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.2368643,1 +59127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.754604751,1 +59128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.039405545,1 +59129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.392937567,1 +59131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.886645806,1 +59132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.583211909,1 +59133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.911431212,1 +59130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.089570949,1 +59135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.608523505,1 +59134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.290468325,1 +59137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.457670737,1 +59136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.301289214,1 +59139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.99975377,1 +59140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.257743215,1 +59141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.592615085,1 +59138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.276788111,1 +59142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.73779066,1 +59143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.384462693,1 +59144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.165683996,1 +59146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.557118424,1 +59145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.736833564,1 +59148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.643110962,1 +59150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.547362715,1 +59149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.512359473,1 +59147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,7.274810684,1 +59151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.365539287,1 +59152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.713754714,1 +59153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.176035999,1 +59156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,7.303096091,1 +59154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.857537586,1 +59155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.183656024,1 +59157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.77591844,1 +59160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.276513503,1 +59159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.805458916,1 +59161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.215729022,1 +59162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.077089244,1 +59158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.972648681,1 +59166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.185230448,1 +59164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.632813147,1 +59163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.058326326,1 +59165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.766653158,1 +59168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.437518536,1 +59167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.237156634,1 +59169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.847768109,1 +59170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.334034049,1 +59171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.162447565,1 +59172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.36923069,1 +59173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.164353023,1 +59174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.191291071,1 +59175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,0.150912884,1 +59177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.70938666,1 +59178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.492929173,1 +59176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.338516013,1 +59179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.577697999,1 +59182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.046981933,1 +59181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.776161859,1 +59180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.95453294,1 +59183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.268043841,1 +59185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.377941825,1 +59184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,11.04913495,1 +59186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.320942032,1 +59187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,7.956186865,1 +59188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.847791289,1 +59189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.071992909,1 +59191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.089823244,1 +59190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.8316819,1 +59192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.426008127,1 +59193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.514279874,1 +59195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.382217019,1 +59194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.902883617,1 +59196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.134612371,1 +59197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.781198744,1 +59199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.725196419,1 +59200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.126253108,1 +59201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.862952378,1 +59202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.916885215,1 +59203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.385888195,1 +59204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.530853974,1 +59198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.665677536,1 +59205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.440085828,1 +59206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.442962999,1 +59207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.330030889,1 +59209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.005887534,1 +59208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.427175174,1 +59210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.8038854,1 +59211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.526536621,1 +59213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.881953715,1 +59215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.422830998,1 +59212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.785143767,1 +59214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.651020586,1 +59216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.931076796,1 +59217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.087366986,1 +59218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.42837524,1 +59219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.054429542,1 +59221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.575757079,1 +59222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.143440055,1 +59223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.599262764,1 +59220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.313644216,1 +59225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.138327426,1 +59224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.968012456,1 +59227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.726901902,1 +59226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.73104067,1 +59229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.625469294,1 +59228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.186891732,1 +59230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.235916275,1 +59231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.400108531,1 +59232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.277069141,1 +59233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.378405795,1 +59235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.924565832,1 +59237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.233815876,1 +59236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.650599612,1 +59238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.685719602,1 +59234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.952445953,1 +59240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.497234347,1 +59241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.510650461,1 +59239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.48589625,1 +59242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.333741321,1 +59243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,7.040939865,1 +59244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.804734865,1 +59245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.054822486,1 +59246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.08263843,1 +59247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.430703052,1 +59248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.790582807,1 +59249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.290562563,1 +59250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.816350383,1 +59252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.890294057,1 +59251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.601439137,1 +59253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.47959244,1 +59255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.528276561,1 +59254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.618317149,1 +59256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.785363577,1 +59257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.869581661,1 +59259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.58096019,1 +59260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.514687402,1 +59261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.107879016,1 +59262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.272444713,1 +59263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.149050788,1 +59264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.91363738,1 +59258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.559235127,1 +59265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.884009304,1 +59266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,8.510329218,1 +59267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.628571105,1 +59268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.692200161,1 +59271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.988177914,1 +59270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.085871061,1 +59269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.846474143,1 +59272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.299680894,1 +59273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.508420164,1 +59274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.147813185,1 +59275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.664217957,1 +59277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.103286066,1 +59276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,7.109785837,1 +59278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.444040497,1 +59280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,7.151299151,1 +59279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.859433877,1 +59282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.874993876,1 +59283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.049619728,1 +59284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.293083318,1 +59281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.205522813,1 +59285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.373036722,1 +59288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.752485962,1 +59286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.727597893,1 +59287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.9721131,1 +59289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.197766775,1 +59290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.894613529,1 +59291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.342637744,1 +59293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.419550758,1 +59292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.908637951,1 +59294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.367577754,1 +59295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.941527857,1 +59296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.342666679,1 +59297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.435924898,1 +59299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.166772237,1 +59300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.893371819,1 +59298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.665542557,1 +59301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.59802666,1 +59302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.346979228,1 +59304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.255286877,1 +59303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.6473327,1 +59307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,9.254641267,1 +59306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.350397324,1 +59305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.594418837,1 +59308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.245622527,1 +59310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.318250081,1 +59309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,11.76705332,1 +59312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.04116419,1 +59313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.089418878,1 +59314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.651692971,1 +59311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.889782032,1 +59315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.465905213,1 +59316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.999356033,1 +59318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.753986035,1 +59317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.840472324,1 +59319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.225503412,1 +59320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.198253561,1 +59322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.794996043,1 +59321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.431838952,1 +59323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.7301293,1 +59324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.188170945,1 +59325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.411682194,1 +59327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.554489076,1 +59328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.010272638,1 +59329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.29886164,1 +59330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.383232045,1 +59326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,0.897349416,1 +59331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.148694577,1 +59332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.965638999,1 +59334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.236417048,1 +59333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.084591766,1 +59335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.096256633,1 +59336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.319751417,1 +59338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.571080902,1 +59339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.934889733,1 +59337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.257588029,1 +59340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.612362138,1 +59342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.707140909,1 +59341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.651994587,1 +59343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.431613914,1 +59344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.065837733,1 +59345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.553514163,1 +59346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.168026601,1 +59348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.406453437,1 +59350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.908412428,1 +59349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,9.514377867,1 +59347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.687960336,1 +59352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.061484244,1 +59351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.043298638,1 +59353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.446482457,1 +59354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.272683892,1 +59355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.970716244,1 +59357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,8.176148276,1 +59356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.91318981,1 +59360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.191038304,1 +59358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.561364623,1 +59359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.335119419,1 +59361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.775040271,1 +59364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.585533886,1 +59362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.974966871,1 +59365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.605171579,1 +59366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.726981733,1 +59367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,9.706956799,1 +59368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.431024502,1 +59369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.886434091,1 +59370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.098305806,1 +59371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.775310441,1 +59363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.553406705,1 +59372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.062572522,1 +59373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.420484619,1 +59374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.935892468,1 +59375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.807212447,1 +59377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.023684637,1 +59378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.665570955,1 +59376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.029768055,1 +59379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.914084264,1 +59380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.633425531,1 +59381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.123081293,1 +59382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.363629969,1 +59384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.135430431,1 +59385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.291397126,1 +59383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.726805672,1 +59386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.112216079,1 +59387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.51091882,1 +59388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.891599241,1 +59390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,8.404677353,1 +59391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.189902987,1 +59392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.006476597,1 +59393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.520752189,1 +59389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.324577275,1 +59394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.768174388,1 +59395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.887410118,1 +59396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.317108569,1 +59397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,0.941266335,1 +59398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.763988137,1 +59399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.597337337,1 +59401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.778973905,1 +59402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.088676536,1 +59403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.803619904,1 +59400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.009309287,1 +59404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.509238525,1 +59405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.994844245,1 +59406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.215360491,1 +59407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.91394399,1 +59408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.261453453,1 +59410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.905125672,1 +59409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.051300154,1 +59411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.568427312,1 +59412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.39608516,1 +59413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.710236049,1 +59414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.843298248,1 +59415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.787905867,1 +59416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.224046769,1 +59417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.233502555,1 +59418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.929563191,1 +59420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.304910769,1 +59419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.570594144,1 +59421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.342308523,1 +59422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.11612286,1 +59423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.792863381,1 +59425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.678209941,1 +59424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,8.513856249,1 +59426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.161957018,1 +59427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.543113687,1 +59428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.287975277,1 +59430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.389854542,1 +59429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.445225011,1 +59431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.573932904,1 +59432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.640883907,1 +59433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.898547381,1 +59435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,7.369611053,1 +59434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.324655047,1 +59436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.446658596,1 +59437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.070813263,1 +59438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.304345006,1 +59439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.50043675,1 +59440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.53533521,1 +59442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.319715233,1 +59441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.444754135,1 +59444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.384194038,1 +59445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.72613264,1 +59446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.907344765,1 +59447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.354167041,1 +59443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.251903432,1 +59448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.999034082,1 +59449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.462447188,1 +59450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.802527312,1 +59452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.986176736,1 +59451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.319403403,1 +59453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.388746596,1 +59454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.654783129,1 +59455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,0.887413538,1 +59456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.622183397,1 +59458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.688159421,1 +59457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.081384554,1 +59459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.561705685,1 +59461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.535924205,1 +59462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.812772479,1 +59463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.072717449,1 +59460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.830161974,1 +59464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.077995101,1 +59465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.227666141,1 +59466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.801018426,1 +59469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.148777819,1 +59470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.089258269,1 +59468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.12795781,1 +59467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.800532887,1 +59471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.015383306,1 +59472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.969136837,1 +59473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.480487635,1 +59474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.491171398,1 +59476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.227418273,1 +59477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.398855605,1 +59478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.54075107,1 +59479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.000931611,1 +59480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.330673328,1 +59475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.582760368,1 +59483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.253238568,1 +59484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.141269546,1 +59482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.699754164,1 +59481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.961398821,1 +59486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,8.596174023,1 +59487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.2565946,1 +59485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.297862819,1 +59488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.250755157,1 +59489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.111650021,1 +59490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.002289195,1 +59491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.348578146,1 +59494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.400329395,1 +59495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.435867931,1 +59493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,7.563759888,1 +59496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.453079435,1 +59497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.738712446,1 +59492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.282447188,1 +59498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.128714399,1 +59501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.74021481,1 +59499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.385262899,1 +59500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.89126116,1 +59503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.898113851,1 +59502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.737801482,1 +59504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.783307516,1 +59505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.884182474,1 +59506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.153136118,1 +59508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.821506546,1 +59509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.32430554,1 +59510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.467905704,1 +59507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.563405749,1 +59511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.59164252,1 +59512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.880773808,1 +59515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.000622581,1 +59514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.029592033,1 +59513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.296484581,1 +59516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.692565235,1 +59517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.967437502,1 +59518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.160326926,1 +59519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.173150613,1 +59520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.143543692,1 +59521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.438181335,1 +59523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,8.502421119,1 +59525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.33237125,1 +59524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,8.525535803,1 +59522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.83458357,1 +59526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.204650776,1 +59528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.554927921,1 +59527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.803975335,1 +59529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.983610944,1 +59531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.858165277,1 +59530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.007661146,1 +59533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.320450811,1 +59532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.129879075,1 +59535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.367917009,1 +59534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.025516467,1 +59537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.661424912,1 +59536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.247094721,1 +59538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.117455071,1 +59539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.226427922,1 +59540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.772063609,1 +59542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,7.718632405,1 +59543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.703675836,1 +59544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.972915157,1 +59541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.141969793,1 +59546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.08016806,1 +59545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.633802981,1 +59547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.094302921,1 +59548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,7.143743424,1 +59549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.919681107,1 +59550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.229301048,1 +59551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.35266614,1 +59553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.558395421,1 +59554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,8.166884068,1 +59555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.48552956,1 +59552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.035974038,1 +59556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.418758686,1 +59558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,7.298051343,1 +59557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.84373514,1 +59559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.549397877,1 +59560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.089829993,1 +59562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.454628074,1 +59561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.029151337,1 +59563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.148377387,1 +59564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.508113446,1 +59565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.213940106,1 +59566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,8.268881631,1 +59568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.16571863,1 +59567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.775791602,1 +59569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.050700729,1 +59571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.680172753,1 +59570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.507641485,1 +59572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.940583661,1 +59573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.770225102,1 +59574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.297264047,1 +59575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.559918752,1 +59576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.224808037,1 +59579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.802807179,1 +59578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.579831105,1 +59577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.335773512,1 +59581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.877820283,1 +59582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.878366348,1 +59583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.461528203,1 +59584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.712209436,1 +59585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.553236842,1 +59586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.7802769,1 +59580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.943273408,1 +59587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.836321859,1 +59588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.636097065,1 +59589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.296983195,1 +59590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.15371344,1 +59593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.818637984,1 +59591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.53038049,1 +59592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.427653622,1 +59594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.05309575,1 +59596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.109312387,1 +59595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.455505948,1 +59597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.315724096,1 +59600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.345479491,1 +59599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.74484883,1 +59601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.484223653,1 +59602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.993312604,1 +59603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.580068402,1 +59604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.885374652,1 +59598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.276774591,1 +59605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.946767398,1 +59606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,12.92241577,1 +59607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.292644041,1 +59609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.784194665,1 +59608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.518385629,1 +59610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.051402385,1 +59612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.712045779,1 +59611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.436064059,1 +59613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,0.255998251,1 +59614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.533628694,1 +59616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.844632467,1 +59615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.06087465,1 +59618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.628939936,1 +59619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.503170846,1 +59620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.563663066,1 +59621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.144680086,1 +59617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.722715267,1 +59622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.296909561,1 +59623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.496615528,1 +59625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.021380134,1 +59624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.241656601,1 +59626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.703638241,1 +59627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.640538078,1 +59628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.53573138,1 +59629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.410090098,1 +59630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.944868658,1 +59631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.543220346,1 +59632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.0432918,1 +59633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.951525264,1 +59634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.232738697,1 +59635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.076045226,1 +59638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.509667119,1 +59637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.775992873,1 +59639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.763539593,1 +59636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.688184454,1 +59641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.563356463,1 +59643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.213388854,1 +59642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.458819684,1 +59644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.015906245,1 +59640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.599138743,1 +59645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,9.164193923,1 +59646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.584630029,1 +59647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.201491097,1 +59649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,0.848985041,1 +59650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.100944522,1 +59651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.906921557,1 +59648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.228799023,1 +59652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.878716108,1 +59655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.429025851,1 +59654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.851491273,1 +59656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.658726529,1 +59653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.71647494,1 +59657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.236211087,1 +59658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.554065156,1 +59659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.066705153,1 +59660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.20489929,1 +59661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.073256399,1 +59663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.325674283,1 +59664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.075657534,1 +59665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.363509552,1 +59666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.179254312,1 +59662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.11778692,1 +59667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,8.88983262,1 +59670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.563664062,1 +59668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.755956963,1 +59671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.593509255,1 +59669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,8.959790424,1 +59672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.817224988,1 +59673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.76270543,1 +59674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.146820212,1 +59675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.070615531,1 +59676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,0.856719407,1 +59677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.80786266,1 +59679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,8.70178493,1 +59678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.449087216,1 +59681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,0.20615893,1 +59680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.78118455,1 +59682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.628653213,1 +59683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.004024267,1 +59686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.131274463,1 +59685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,8.195572486,1 +59684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,8.393318003,1 +59690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.425648578,1 +59689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.008395988,1 +59688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.447339013,1 +59693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.443253709,1 +59692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.757303824,1 +59691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.574637617,1 +59687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.929501909,1 +59694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,7.464477744,1 +59696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.326604384,1 +59697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.871625872,1 +59695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,7.558346211,1 +59698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.706744258,1 +59699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.6463037,1 +59701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.417799709,1 +59700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.294886891,1 +59703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.677524682,1 +59702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.35543552,1 +59704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.293394726,1 +59706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.58279232,1 +59707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.192218716,1 +59708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.947824765,1 +59705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.848737396,1 +59709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.862986383,1 +59710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.630907708,1 +59713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.936444584,1 +59711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.343860306,1 +59712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.143514046,1 +59714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.481036734,1 +59715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.871456297,1 +59716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.827139371,1 +59718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.569067722,1 +59717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.448246774,1 +59719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.975174082,1 +59720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.024270424,1 +59721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.750209372,1 +59722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.315816185,1 +59723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.013449228,1 +59724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.052884905,1 +59725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.338370751,1 +59727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.676579514,1 +59728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.090891209,1 +59729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.312154095,1 +59726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.990929248,1 +59730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.242188675,1 +59731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.657350249,1 +59732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.809758131,1 +59733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.538768735,1 +59734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,9.49450109,1 +59735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.97798355,1 +59736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,7.236666273,1 +59737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.25659386,1 +59738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.087232495,1 +59739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.573151423,1 +59740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.519904956,1 +59741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.901230267,1 +59742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.041830704,1 +59743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.138687433,1 +59744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.045908149,1 +59746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.437888547,1 +59747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.624522064,1 +59745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.662199566,1 +59748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.207494617,1 +59749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.503963469,1 +59750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.885971923,1 +59751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.481540032,1 +59752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.710947846,1 +59753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.592854143,1 +59754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.08723022,1 +59756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.495471839,1 +59755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.018098673,1 +59757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.617787846,1 +59758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.370295109,1 +59759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.641950254,1 +59760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.159669027,1 +59761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,7.325842178,1 +59763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.467010131,1 +59762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.422211764,1 +59766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.324370726,1 +59765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.261845202,1 +59767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.441578754,1 +59769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.40914243,1 +59768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.498220916,1 +59764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.069205739,1 +59770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.056102682,1 +59771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,8.220308899,1 +59772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.098865907,1 +59774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.690163306,1 +59773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.22599473,1 +59775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.044593458,1 +59776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.770887953,1 +59777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.296132385,1 +59778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.909111505,1 +59779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.922843037,1 +59780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.03598816,1 +59781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,8.207786191,1 +59782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.174985017,1 +59783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.175891877,1 +59784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.190927513,1 +59785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.120158825,1 +59787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.442230701,1 +59788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.991046638,1 +59789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.538927859,1 +59786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.458703467,1 +59790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.6696102,1 +59791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.136756764,1 +59792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.881026926,1 +59794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,10.03245461,1 +59793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.255916445,1 +59795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.982687724,1 +59796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.204859544,1 +59797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.497199369,1 +59798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.438144985,1 +59799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.397654158,1 +59800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.556143972,1 +59801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.953404532,1 +59802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.612496135,1 +59804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.085776654,1 +59805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.486496969,1 +59803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.901653275,1 +59806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.377859369,1 +59807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.591630034,1 +59808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.512048972,1 +59810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.197696573,1 +59809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.121870058,1 +59811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.440107667,1 +59812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.287070045,1 +59815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.244140797,1 +59813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.467928871,1 +59814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.289289229,1 +59816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.281859523,1 +59817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.996391941,1 +59818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.164701136,1 +59820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.177281952,1 +59819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.477198776,1 +59822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.349894772,1 +59821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.500941089,1 +59823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.084909708,1 +59824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.686274946,1 +59826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,8.344886118,1 +59825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.033486036,1 +59827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.900524337,1 +59828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,7.858050522,1 +59829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.022117041,1 +59830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.843438432,1 +59831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.896510406,1 +59833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.245071102,1 +59832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.758919852,1 +59835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.157841498,1 +59834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.684874718,1 +59839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.099096276,1 +59837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.004258104,1 +59836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.472963849,1 +59838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.400598397,1 +59842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.638148714,1 +59841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.677687726,1 +59840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.649952211,1 +59843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,10.57080473,1 +59844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.056217836,1 +59847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.136244215,1 +59845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.051629987,1 +59846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.124743419,1 +59848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.598168394,1 +59849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.535861977,1 +59851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.332339929,1 +59850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.873487866,1 +59852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.826392883,1 +59853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.373455322,1 +59854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.495052094,1 +59856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.635048468,1 +59857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.020858769,1 +59855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.757622552,1 +59858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.08692481,1 +59859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.44748666,1 +59860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.056504926,1 +59862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.438721338,1 +59863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.635637769,1 +59864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.399542814,1 +59865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.139141561,1 +59861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.12019721,1 +59866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.530933659,1 +59867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,12.82347027,1 +59868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.93179524,1 +59869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.993882656,1 +59870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.665803179,1 +59871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.349850884,1 +59873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.834030554,1 +59874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.24223763,1 +59875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.968628904,1 +59877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.955816134,1 +59872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.350551252,1 +59878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.096638845,1 +59879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.905107295,1 +59881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.054943124,1 +59880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.248703701,1 +59876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.852734817,1 +59884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.52041007,1 +59885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.818190833,1 +59882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.93663476,1 +59883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.318148665,1 +59886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.835584394,1 +59887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.137601243,1 +59888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,9.424506263,1 +59889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.245774656,1 +59892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.432911232,1 +59893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.218510069,1 +59890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.830865122,1 +59894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.019223205,1 +59895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.571930162,1 +59896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.014955869,1 +59891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.600466149,1 +59897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.006238342,1 +59898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.09755352,1 +59899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.091424783,1 +59900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.510939818,1 +59901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.618164091,1 +59903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.045708481,1 +59902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.081738641,1 +59904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.11180243,1 +59905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.709066662,1 +59907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.729647548,1 +59908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.080061681,1 +59909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.39189234,1 +59910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.814665101,1 +59906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.109868493,1 +59912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.405593289,1 +59913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.374129632,1 +59914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.08650478,1 +59911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.563775147,1 +59915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.036383463,1 +59916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.396622778,1 +59917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.978987372,1 +59918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.15934248,1 +59919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.34200502,1 +59921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.212876798,1 +59920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.038226637,1 +59922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.809010806,1 +59923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.33650396,1 +59925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.118304037,1 +59926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.403405292,1 +59924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,9.6471965,1 +59928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.29092866,1 +59927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.053004117,1 +59930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.828435872,1 +59929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.725019736,1 +59931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.799773746,1 +59932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.845718095,1 +59933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.396452419,1 +59935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.661530191,1 +59934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.429181203,1 +59936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.011445307,1 +59937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.910296371,1 +59938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.411111563,1 +59940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.981940676,1 +59939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.833892743,1 +59942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.711482149,1 +59941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.032416844,1 +59944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.167619798,1 +59943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.814848681,1 +59946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.665523745,1 +59945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.657271033,1 +59948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.040524321,1 +59950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.792816072,1 +59949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.045239847,1 +59951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.125901415,1 +59947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.059222259,1 +59953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.641009655,1 +59952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.769768734,1 +59954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.277541104,1 +59956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.344163575,1 +59957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.029140976,1 +59955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.102568252,1 +59958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.987602775,1 +59961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.381522255,1 +59960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.093244056,1 +59959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.515553558,1 +59962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,10.58629915,1 +59964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.227132465,1 +59963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.687071072,1 +59965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.784527043,1 +59966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.50042992,1 +59967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.67367953,1 +59969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.676931257,1 +59970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.958296812,1 +59971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.192502198,1 +59972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.729574076,1 +59973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.894217463,1 +59968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,7.718956184,1 +59974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,9.104130197,1 +59975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.055346781,1 +59977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.57272709,1 +59976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.51135222,1 +59978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.221415405,1 +59979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.739328365,1 +59980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.551542732,1 +59981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.31510626,1 +59982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.865560546,1 +59983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.42007335,1 +59985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.409003037,1 +59984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.423067692,1 +59986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.989428886,1 +59987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.03542422,1 +59988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.400319965,1 +59990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.327656622,1 +59992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,5.047843487,1 +59991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.346686664,1 +59989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.236422773,1 +59995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,6.122552012,1 +59994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.899077957,1 +59996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,7.37684155,1 +59993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,1.806374096,1 +59997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,4.044453871,1 +59998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.358366402,1 +59999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,2.207320076,1 +60000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.5,10,1,3.496956596,1 +69001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.463936929,1 +69002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.99163917,1 +69004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.036644043,1 +69003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.83964389,1 +69006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.953856717,1 +69005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.636012639,1 +69007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.821212122,1 +69008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.10002835,1 +69010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.121967301,1 +69009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.14324439,1 +69012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.453027334,1 +69011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.539941669,1 +69013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.586240349,1 +69015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.672635949,1 +69014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.957868599,1 +69016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.735017446,1 +69019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.920001088,1 +69018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.217473556,1 +69020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.994166676,1 +69017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.704704615,1 +69022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.040751546,1 +69021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.72701413,1 +69023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.654191189,1 +69025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.424578123,1 +69026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.784892845,1 +69027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.564267045,1 +69024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.791864652,1 +69029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.140793894,1 +69028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.949951351,1 +69031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.087765994,1 +69030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.935925228,1 +69032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.696551782,1 +69033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.125964841,1 +69034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.907430009,1 +69035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.613408801,1 +69036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.38020056,1 +69037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.920194515,1 +69039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.068174791,1 +69040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.66746581,1 +69041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.738243875,1 +69042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.929221439,1 +69038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.280700069,1 +69044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.207573073,1 +69043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.713005916,1 +69045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.012875976,1 +69047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.400769883,1 +69048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.51878772,1 +69046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.992418976,1 +69050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.468814227,1 +69051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,8.22061093,1 +69049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,7.282328226,1 +69052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.321201457,1 +69054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.290345087,1 +69053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.317100327,1 +69055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.579747123,1 +69058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.922973294,1 +69057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.428738117,1 +69059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.388244526,1 +69056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.075132308,1 +69062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.856618856,1 +69061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.700763191,1 +69060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.079310121,1 +69063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.47517691,1 +69064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.252796578,1 +69065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.79126315,1 +69066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.908922835,1 +69067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.713768812,1 +69069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.393898104,1 +69068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.230631116,1 +69070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.494349348,1 +69071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.759842505,1 +69072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.862030025,1 +69073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.633152991,1 +69074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.820538312,1 +69076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.530275991,1 +69077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.121200457,1 +69078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.278726324,1 +69075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.875189397,1 +69079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.480354431,1 +69080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.253959851,1 +69081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.17777067,1 +69082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.471227748,1 +69083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.214988717,1 +69084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.70508697,1 +69085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.857348288,1 +69086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.550220933,1 +69087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.676306393,1 +69088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.421863664,1 +69089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.218069205,1 +69090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.982745371,1 +69091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.85861632,1 +69093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.708806874,1 +69092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.925912122,1 +69095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.439093743,1 +69096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.053330223,1 +69094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.47742296,1 +69097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.576076205,1 +69098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.682941524,1 +69099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.605627148,1 +69101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.952600984,1 +69102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.054682925,1 +69100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.17900617,1 +69103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.183344033,1 +69104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.09444718,1 +69105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,7.325705554,1 +69108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.846882092,1 +69106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.013350406,1 +69107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.007351854,1 +69109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.162612802,1 +69110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.129480076,1 +69112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.942139327,1 +69113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.20925872,1 +69114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.309015157,1 +69115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.615913133,1 +69111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.699611428,1 +69116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.65000194,1 +69117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.136051135,1 +69118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.116346453,1 +69120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.561319325,1 +69121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.650597009,1 +69122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.366781294,1 +69119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.783635023,1 +69123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.775185553,1 +69124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.743848129,1 +69126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.259383399,1 +69125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.610622208,1 +69127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.941164366,1 +69128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.300325336,1 +69129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.475480729,1 +69130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.957879275,1 +69131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.213308564,1 +69132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.426622031,1 +69134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.279440874,1 +69135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.526242549,1 +69136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.738090573,1 +69137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.049474757,1 +69138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.354555997,1 +69133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.138868,1 +69139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.17157287,1 +69142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.735336849,1 +69141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.482697925,1 +69140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.114564253,1 +69143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.153474373,1 +69144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.409405824,1 +69145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.816648734,1 +69147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.242656698,1 +69148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.517913696,1 +69146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.997296462,1 +69149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.822109627,1 +69150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.124903624,1 +69152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.690874219,1 +69151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.167348469,1 +69154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,8.093206202,1 +69153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.615146505,1 +69155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.703137674,1 +69156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.424947026,1 +69157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.520334782,1 +69158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.600274107,1 +69160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.832629194,1 +69161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.136229594,1 +69162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.451757882,1 +69163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.699696923,1 +69164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.199569568,1 +69159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.092390978,1 +69165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.50740505,1 +69166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.105823629,1 +69167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.108594415,1 +69168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.800670269,1 +69170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.411726634,1 +69171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.341380735,1 +69169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.192943553,1 +69172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.848516768,1 +69173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.510243892,1 +69175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.964748571,1 +69176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.163968441,1 +69174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.257454348,1 +69177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.766357658,1 +69180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.616560709,1 +69178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.121429814,1 +69181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.609082407,1 +69182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.346284862,1 +69179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.610178178,1 +69184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.106784279,1 +69186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.704310938,1 +69185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.902969991,1 +69187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.075295829,1 +69183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.61941279,1 +69188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.128577942,1 +69190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.800586886,1 +69191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.523012485,1 +69192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.068961716,1 +69189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.073112517,1 +69193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.146970603,1 +69194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.174473758,1 +69196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.125037406,1 +69198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.891606242,1 +69197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.118610027,1 +69195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.946870396,1 +69199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.133596707,1 +69201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.683030805,1 +69202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.15262726,1 +69200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.729522703,1 +69204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.860296471,1 +69205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.328884947,1 +69203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.901228055,1 +69206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.224925701,1 +69207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.083272645,1 +69208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.927067995,1 +69209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.454611236,1 +69211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.918081132,1 +69212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,0.941599897,1 +69213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.680374137,1 +69210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,8.085952697,1 +69216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.148920268,1 +69215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.369806056,1 +69217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.636623479,1 +69214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,8.104088402,1 +69219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.425073557,1 +69221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.930249963,1 +69220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.614788313,1 +69218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.7866131,1 +69222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.083568581,1 +69223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.344303882,1 +69225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.152670814,1 +69226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.455026982,1 +69227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.750388131,1 +69224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.15861653,1 +69228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.568807679,1 +69230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.710644002,1 +69229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.290613041,1 +69232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.587024527,1 +69231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.819068882,1 +69233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.137525278,1 +69234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.835138398,1 +69235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.253090552,1 +69236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.823653866,1 +69237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.511470177,1 +69238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.559086704,1 +69241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.420328942,1 +69242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.042081336,1 +69239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.51360595,1 +69240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.350827784,1 +69243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.789479675,1 +69244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.156416315,1 +69245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.883493395,1 +69246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.665058207,1 +69247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.375205359,1 +69248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.664816695,1 +69249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.437952824,1 +69250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.842228828,1 +69251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.641786809,1 +69252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.385922266,1 +69253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.157961065,1 +69254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.319883188,1 +69255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,8.811017466,1 +69256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.760963016,1 +69258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.16331117,1 +69257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.145531368,1 +69260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.807529361,1 +69261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.492651216,1 +69259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.890601375,1 +69263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.443640576,1 +69262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.979853405,1 +69264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.583143803,1 +69265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.113301428,1 +69267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.295486841,1 +69266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.243305813,1 +69268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.274529958,1 +69269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.147479062,1 +69270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.237796651,1 +69271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.063549711,1 +69272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.447626563,1 +69273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,7.783007611,1 +69275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.398449465,1 +69274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.285525071,1 +69276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.938226116,1 +69278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.745912826,1 +69279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.601397817,1 +69280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.260909167,1 +69277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.643071299,1 +69282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.069028653,1 +69283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.625925993,1 +69281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.660144374,1 +69284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.882967633,1 +69285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.79178088,1 +69286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.104690874,1 +69287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.664714222,1 +69288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.297491073,1 +69290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.970414327,1 +69289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.583771248,1 +69291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.666824841,1 +69293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.033320557,1 +69294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.056907235,1 +69292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.880126599,1 +69296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.972206634,1 +69297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.624331589,1 +69295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.508426587,1 +69299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.485642396,1 +69300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.333014523,1 +69301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.048223213,1 +69298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.065454148,1 +69302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.547614376,1 +69303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.651243084,1 +69304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.472343611,1 +69305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.439209074,1 +69307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.976216456,1 +69306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.969092222,1 +69308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.067062314,1 +69310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.170451433,1 +69309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.156448767,1 +69311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.545009665,1 +69313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.712281218,1 +69315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.777272113,1 +69314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.398513457,1 +69312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.681036428,1 +69316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.057584251,1 +69317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.701931614,1 +69319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.793425616,1 +69320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.136588579,1 +69321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.570217505,1 +69322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.949578319,1 +69318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.735499151,1 +69324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.168407484,1 +69323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.49782809,1 +69325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.204832918,1 +69327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.13719783,1 +69328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.550707405,1 +69326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.065436954,1 +69329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.322358147,1 +69330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.309158506,1 +69331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.243612533,1 +69332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.725963001,1 +69334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.710927444,1 +69335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.548118424,1 +69336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.197910695,1 +69333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.774812126,1 +69337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.613498844,1 +69338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.832797329,1 +69340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.188160467,1 +69342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.424522462,1 +69339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.483169164,1 +69343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.093438107,1 +69344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.020373983,1 +69345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.15870399,1 +69341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.215117933,1 +69346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.396212649,1 +69347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.823708308,1 +69348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.367667956,1 +69349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.543928879,1 +69351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.190751951,1 +69350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.64998259,1 +69352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.192489704,1 +69353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.58980497,1 +69354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.454952905,1 +69355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.788310543,1 +69358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.480157079,1 +69359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.166535157,1 +69356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.368838688,1 +69360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.749081213,1 +69357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.930271018,1 +69361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.77416559,1 +69362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.025161525,1 +69363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.718590261,1 +69364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.781155594,1 +69365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.504505887,1 +69366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.908053789,1 +69368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.650418757,1 +69367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.537152936,1 +69369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.219740447,1 +69370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.896471968,1 +69371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.712720772,1 +69372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.957873341,1 +69373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.139531968,1 +69375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.565137612,1 +69376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.761356178,1 +69377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.194211191,1 +69374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.52805102,1 +69379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.624008239,1 +69381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.226165543,1 +69378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.605857689,1 +69380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.456289589,1 +69382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,10.71446427,1 +69384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,7.952361968,1 +69383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.787058827,1 +69385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.148635021,1 +69386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.417738042,1 +69387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.138552234,1 +69388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.834876279,1 +69389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.909071078,1 +69390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.883979775,1 +69391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.847897746,1 +69393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.071374825,1 +69394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.688171642,1 +69392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.24323287,1 +69396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.53241601,1 +69395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,9.610609339,1 +69397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.37870719,1 +69398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.876966687,1 +69399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.55618682,1 +69400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,7.673454583,1 +69401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.599631482,1 +69402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.624519909,1 +69403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.145564282,1 +69404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.322029192,1 +69405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.738162033,1 +69407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.64518782,1 +69408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.783951271,1 +69409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.075122307,1 +69410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.937225866,1 +69411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.730463247,1 +69406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.834633717,1 +69412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.935147115,1 +69413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.991818135,1 +69414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.059658158,1 +69415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.555299289,1 +69416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.428689978,1 +69417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.370574106,1 +69418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.859412288,1 +69419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.319363587,1 +69420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.913182368,1 +69421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.452497143,1 +69422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.166185899,1 +69423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.866785822,1 +69424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.463611697,1 +69425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.071442279,1 +69426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.672113404,1 +69428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.161337536,1 +69429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.796910513,1 +69427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.176617022,1 +69430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.972482093,1 +69432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.089256548,1 +69433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.692912388,1 +69434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.932517406,1 +69431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.291623403,1 +69435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.105963016,1 +69437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.218106458,1 +69436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.314905619,1 +69439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.687085986,1 +69438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.617885879,1 +69440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.569033544,1 +69441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.863117411,1 +69442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.743774795,1 +69443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.008525283,1 +69444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.005657357,1 +69445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.241699456,1 +69446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,7.152476142,1 +69447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.846986774,1 +69448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.003268066,1 +69450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.980733147,1 +69449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.514905667,1 +69452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.869341985,1 +69453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.924683947,1 +69454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.822542427,1 +69455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.91926717,1 +69451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.688329797,1 +69456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.948353057,1 +69457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.347933599,1 +69458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,8.570401313,1 +69459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.459397569,1 +69461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.190929276,1 +69460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.05180634,1 +69462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.122906685,1 +69463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.139835879,1 +69464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.745694913,1 +69465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.877225892,1 +69466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.583950343,1 +69467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.24764878,1 +69468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.60778568,1 +69469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.457120971,1 +69470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.089245168,1 +69473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.538047223,1 +69474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.428448186,1 +69472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.919298059,1 +69471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.725023468,1 +69475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.737072352,1 +69476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,7.530638184,1 +69477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.99696509,1 +69478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.692635004,1 +69479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.975298558,1 +69481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.754893369,1 +69482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,8.436056316,1 +69480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,0.981709974,1 +69483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.230430231,1 +69484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.917444472,1 +69485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,0.917373579,1 +69487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.750130977,1 +69488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.356446732,1 +69486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.335189325,1 +69489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.67017777,1 +69491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.195824568,1 +69490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.900782094,1 +69492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.57939302,1 +69493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.313472834,1 +69494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.391742603,1 +69495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.14670517,1 +69499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.331889372,1 +69497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.907687552,1 +69498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.895398095,1 +69496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.715853111,1 +69502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.897657762,1 +69501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.399042666,1 +69500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.248914293,1 +69506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.353706304,1 +69503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.843259555,1 +69505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.051738711,1 +69504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.960337567,1 +69508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.205901222,1 +69507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.493151853,1 +69509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.054842074,1 +69510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.708726458,1 +69511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.705507508,1 +69512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.507440964,1 +69513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.553110436,1 +69514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,0.869835426,1 +69515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.888817683,1 +69517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.603561584,1 +69518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.974526955,1 +69519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.814123721,1 +69520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,7.051974168,1 +69516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.568877008,1 +69521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.421078187,1 +69522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.371088804,1 +69524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,7.915106432,1 +69525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.892909713,1 +69526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.969078901,1 +69523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.021844773,1 +69527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.111263756,1 +69528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.340740179,1 +69529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.795031539,1 +69531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.342492963,1 +69532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.076811796,1 +69533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.758047897,1 +69530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.193591332,1 +69537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.956377985,1 +69535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.720137034,1 +69536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.0246158,1 +69534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.86305789,1 +69538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.548128065,1 +69539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.086636613,1 +69540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.283364689,1 +69541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.224115437,1 +69543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.902829292,1 +69544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.847143403,1 +69542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.575054566,1 +69545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.747320304,1 +69546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.027053235,1 +69547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.409088302,1 +69548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.512985083,1 +69549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.871813883,1 +69550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.662755047,1 +69551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.948454108,1 +69552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.168182139,1 +69553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.32442083,1 +69555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.045942375,1 +69554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.946898505,1 +69556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.947854871,1 +69557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.585430376,1 +69559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.808944277,1 +69558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.792136386,1 +69562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.795997543,1 +69563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.178916114,1 +69561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.636123023,1 +69560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.87976563,1 +69564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.735689122,1 +69565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.643147311,1 +69567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.600474812,1 +69568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.896253191,1 +69569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.135352234,1 +69570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.006079844,1 +69571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.314830385,1 +69572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.480914307,1 +69566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.13638213,1 +69573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.162217134,1 +69574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.053219321,1 +69575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.890425782,1 +69577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.574308927,1 +69578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.158276124,1 +69576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.304774486,1 +69579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.95666569,1 +69582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.571062045,1 +69580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.13413576,1 +69581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.464777035,1 +69583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.207806824,1 +69585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.269009292,1 +69584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.871711369,1 +69586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.866040152,1 +69587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.333405996,1 +69588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.340647864,1 +69590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.649889481,1 +69591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.845824554,1 +69592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.198962969,1 +69593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.050732794,1 +69594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.021555434,1 +69589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.851430925,1 +69595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,7.547483923,1 +69597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.916565686,1 +69596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.6774047,1 +69598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.941714085,1 +69599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.082267067,1 +69601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.731053336,1 +69600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.509653244,1 +69602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.110325404,1 +69603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.605610222,1 +69604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.850151655,1 +69605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.380340191,1 +69606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.991390431,1 +69607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.189157715,1 +69608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.327677117,1 +69609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.308682631,1 +69611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.0681453,1 +69612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.556555843,1 +69610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.376898773,1 +69614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.895412117,1 +69613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,8.591830856,1 +69615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.624283456,1 +69616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.436730855,1 +69617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.058106876,1 +69619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.322934608,1 +69620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.283215138,1 +69618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.697817694,1 +69621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.514722507,1 +69622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.170628703,1 +69625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.91429262,1 +69623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.213383845,1 +69626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.860795591,1 +69624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,8.585828357,1 +69629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.198397035,1 +69630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.111560445,1 +69627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.414893863,1 +69628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.63582423,1 +69632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.48805175,1 +69633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.865382464,1 +69634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.133711438,1 +69631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.027683721,1 +69635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.547886317,1 +69636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.664535381,1 +69637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.906064492,1 +69639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.587462796,1 +69640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.343954428,1 +69638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.026515084,1 +69641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.057799838,1 +69643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.733760551,1 +69644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.595652466,1 +69642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.5591094,1 +69647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.747379817,1 +69646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.403324912,1 +69645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.752209207,1 +69648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.956579559,1 +69650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.877966012,1 +69651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.905741179,1 +69649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.213668426,1 +69652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.440661674,1 +69653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.699248344,1 +69656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.962056835,1 +69654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.340150289,1 +69655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.650104492,1 +69657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.911490946,1 +69658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.521210137,1 +69660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.086262258,1 +69661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.070838941,1 +69662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.18984261,1 +69659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.915425359,1 +69663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.417689593,1 +69664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.937232533,1 +69665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.997375099,1 +69667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.783539972,1 +69668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.385302057,1 +69669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.05222672,1 +69666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.675867147,1 +69671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.763691131,1 +69673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.004074007,1 +69672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.14920816,1 +69670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.833358093,1 +69674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.907021112,1 +69676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.815978892,1 +69675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.381239511,1 +69678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.285631098,1 +69677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.137473433,1 +69679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.653749554,1 +69681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.967426646,1 +69682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.51523584,1 +69683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.328791972,1 +69684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.775229176,1 +69685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.564444312,1 +69680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.250747016,1 +69688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.903878544,1 +69689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,7.708022996,1 +69686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.092753232,1 +69687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.918162266,1 +69691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.995440441,1 +69690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.521334873,1 +69692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.269043155,1 +69693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.276450126,1 +69694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.630187413,1 +69696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.868421516,1 +69697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.813311082,1 +69695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.163895669,1 +69699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.631441684,1 +69700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.959392874,1 +69701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.631352435,1 +69702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.870671164,1 +69698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.512953413,1 +69703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.882571732,1 +69704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.72026583,1 +69706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.927362193,1 +69705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,8.119420175,1 +69707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.910834011,1 +69708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.505994184,1 +69710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.522733328,1 +69709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.120588185,1 +69711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.409519411,1 +69712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.061612843,1 +69713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.329660504,1 +69715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.297679798,1 +69716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.603453856,1 +69717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.547798957,1 +69714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.37895849,1 +69718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.423775713,1 +69719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.136839271,1 +69720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.478937512,1 +69721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.265544433,1 +69723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.072423382,1 +69722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.575721828,1 +69724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.615922685,1 +69725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.128397777,1 +69726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,7.828444627,1 +69727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.846931972,1 +69728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.525368075,1 +69731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.952572769,1 +69730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.628794059,1 +69732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.762003326,1 +69729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.64334907,1 +69733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.960854903,1 +69736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.763496796,1 +69735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.129509618,1 +69734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.117026058,1 +69737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.29948004,1 +69739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.403904916,1 +69738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.848713017,1 +69741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.528183578,1 +69740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.485410277,1 +69742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.52015831,1 +69743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.26897588,1 +69744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.080700464,1 +69747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.220841083,1 +69746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.043298234,1 +69745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.165196069,1 +69748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.881782807,1 +69749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.74148656,1 +69750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.102188279,1 +69751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.113554655,1 +69752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.828608666,1 +69753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.49530102,1 +69754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.631746564,1 +69756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.174044167,1 +69757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.784837421,1 +69755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,0.90553227,1 +69759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.516549096,1 +69760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.525991753,1 +69758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.912569128,1 +69762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.820659182,1 +69761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.655522685,1 +69763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.239868757,1 +69764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.030060356,1 +69766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.621480077,1 +69765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.455235626,1 +69767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.645756566,1 +69769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.284763188,1 +69768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.12270714,1 +69770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.963228744,1 +69771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.868230944,1 +69772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.045309264,1 +69774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.023682472,1 +69773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.120839369,1 +69775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.160079525,1 +69777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.791978119,1 +69778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.937935153,1 +69776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.13485278,1 +69779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.33394854,1 +69780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.097165266,1 +69782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.361337711,1 +69781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.023562229,1 +69783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.433832046,1 +69784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.019404289,1 +69786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.582022385,1 +69787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.280174099,1 +69785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.400312293,1 +69788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.540849773,1 +69790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,7.831745972,1 +69791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.746260626,1 +69789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.412105641,1 +69792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.120548068,1 +69793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.494824622,1 +69795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.429832421,1 +69796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.053922656,1 +69794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.6388392,1 +69797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.804278835,1 +69799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.959098966,1 +69800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.947363062,1 +69801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.911440758,1 +69802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.199854759,1 +69804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.687554824,1 +69803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.101106569,1 +69798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.688106095,1 +69805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.772255514,1 +69806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.476613979,1 +69807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.120331708,1 +69808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.074076464,1 +69809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.204234719,1 +69812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.055407652,1 +69810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.90163857,1 +69811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.298264726,1 +69813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.698963162,1 +69815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.051605717,1 +69816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.968346196,1 +69817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.06455827,1 +69818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.190900601,1 +69819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.834423492,1 +69820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.349041058,1 +69821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.741966171,1 +69814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.174279691,1 +69822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.423695407,1 +69823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.034448314,1 +69825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.539880715,1 +69826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.49946774,1 +69824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.992366273,1 +69827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.059071168,1 +69829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.774872605,1 +69828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.194357892,1 +69830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.555474625,1 +69831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.38962114,1 +69832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.996682484,1 +69833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.019571402,1 +69834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.044351047,1 +69835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.041483133,1 +69836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.823257235,1 +69838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.782789901,1 +69839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.675238399,1 +69840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.553176122,1 +69841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.949580304,1 +69843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.440550725,1 +69837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.344245313,1 +69844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.11050009,1 +69842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.554823193,1 +69845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.093482109,1 +69846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.630705091,1 +69847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.526158522,1 +69849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.372089481,1 +69850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.067702786,1 +69851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.272803856,1 +69848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.102375402,1 +69852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.027914021,1 +69853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.090436593,1 +69855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.956075848,1 +69854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.692471212,1 +69856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.427357361,1 +69858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.544245145,1 +69857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.02303602,1 +69859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.720034655,1 +69860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.832033441,1 +69862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.446828782,1 +69863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.215103115,1 +69864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.172053609,1 +69865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.106488389,1 +69866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.75246359,1 +69867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.768892165,1 +69861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.051046229,1 +69868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.376868737,1 +69869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.251101021,1 +69871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.532516097,1 +69870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.330806683,1 +69872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.657939196,1 +69874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.57141866,1 +69873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.354816501,1 +69875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.172860434,1 +69876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.442929565,1 +69877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.554526025,1 +69878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,0.950504348,1 +69879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.680402426,1 +69881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.225250874,1 +69882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.372634656,1 +69880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.391927306,1 +69883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.474627711,1 +69885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.402132689,1 +69886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.566358499,1 +69887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.782024258,1 +69884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.761262147,1 +69888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.281951027,1 +69890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.519790906,1 +69891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,7.327158249,1 +69892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.078772067,1 +69893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.256302574,1 +69894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.121829345,1 +69895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.094757035,1 +69889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.840338487,1 +69896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.449044693,1 +69897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.939431359,1 +69898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.573311323,1 +69900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.1254031,1 +69899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.399540426,1 +69901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.035585328,1 +69902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.803715567,1 +69904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.71781811,1 +69905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.277081385,1 +69903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.871711175,1 +69906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.301975277,1 +69908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.131899324,1 +69909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.582039309,1 +69910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.095426291,1 +69911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,7.149654549,1 +69912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.309932655,1 +69907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.84618554,1 +69913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.542900554,1 +69915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.319369275,1 +69914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.464697673,1 +69917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.656256021,1 +69916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.331405725,1 +69919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.974221345,1 +69918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.394601749,1 +69921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.896273402,1 +69922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.599605372,1 +69923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.177352564,1 +69920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.487343416,1 +69924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.705773797,1 +69925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.456366745,1 +69926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.451280955,1 +69927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.979008949,1 +69930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.402794101,1 +69929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.995466748,1 +69931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.930492552,1 +69928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.60216186,1 +69932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,7.157374413,1 +69933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.185954921,1 +69935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.961248941,1 +69936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.489286649,1 +69934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.187874836,1 +69937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.704872358,1 +69938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,7.145553872,1 +69939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.099410115,1 +69941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.508656006,1 +69940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.872779003,1 +69942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.984126754,1 +69943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.349459208,1 +69944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.201416677,1 +69945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.47473116,1 +69947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.974549775,1 +69948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.025516253,1 +69949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.976432441,1 +69946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.74800154,1 +69950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.337660483,1 +69951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.580858302,1 +69952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.694772055,1 +69953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.207135919,1 +69954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.266454033,1 +69955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.438585481,1 +69958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.344722523,1 +69957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.130283777,1 +69959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.606907941,1 +69960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.768087881,1 +69956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.184978413,1 +69962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.597711233,1 +69961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.192614832,1 +69964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.907709684,1 +69965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.037479471,1 +69963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.634303605,1 +69966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.47209321,1 +69969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.195680416,1 +69967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.085782192,1 +69968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.273829894,1 +69970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,7.538092962,1 +69971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.27838555,1 +69972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.58236021,1 +69973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.352666165,1 +69974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.497906605,1 +69975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.507429161,1 +69977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.522413882,1 +69979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.058920508,1 +69976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,1.468791864,1 +69980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.347020714,1 +69982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.715388595,1 +69981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.970773768,1 +69983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.288560391,1 +69985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.873924476,1 +69978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.407269091,1 +69984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.743444872,1 +69986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.598742373,1 +69987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.222531623,1 +69989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.959227194,1 +69990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,4.828920861,1 +69988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.133492538,1 +69991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,6.111494941,1 +69993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.212490222,1 +69992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.414917481,1 +69994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.304868001,1 +69995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,0.488007339,1 +69997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.088811149,1 +69996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,5.898183849,1 +69998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,3.707913322,1 +69999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,2.716897426,1 +70000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.4,10,1,7.827055843,1 +79001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.111695,1 +79002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.417534312,1 +79003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.450443202,1 +79004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.045522976,1 +79006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.764205063,1 +79007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.723050393,1 +79005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.26028889,1 +79008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.778235409,1 +79011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.580565432,1 +79010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,6.281386293,1 +79009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.388875136,1 +79012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.334353018,1 +79013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.906996559,1 +79014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.600463995,1 +79016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.882613082,1 +79015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.363615653,1 +79018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.817249422,1 +79019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.182387139,1 +79020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.980477489,1 +79021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.828645722,1 +79022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.326999862,1 +79017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.643885682,1 +79023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.469376195,1 +79026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.073067386,1 +79024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.533001409,1 +79025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.299998944,1 +79028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.043242634,1 +79029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.320397513,1 +79030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.877023596,1 +79027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.711553663,1 +79031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.643299152,1 +79032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.785132334,1 +79033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.095509588,1 +79034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.546402888,1 +79036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.340442784,1 +79037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.007017776,1 +79038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.165868966,1 +79035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.282823693,1 +79039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.356645699,1 +79041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.797689332,1 +79040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.574270812,1 +79042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.501988902,1 +79043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.471806165,1 +79045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.051853527,1 +79046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.733861124,1 +79047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.70420254,1 +79048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.035241494,1 +79049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.39736836,1 +79044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.471139205,1 +79050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.744731086,1 +79051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.21088058,1 +79052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.033729831,1 +79053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.278111967,1 +79054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.439929802,1 +79055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.165229421,1 +79056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.469492802,1 +79058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.907832788,1 +79057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.648037542,1 +79059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.20478775,1 +79061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.016195287,1 +79060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.889934581,1 +79062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.908047136,1 +79063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.789801581,1 +79064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.405849916,1 +79065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.552371636,1 +79067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.420145075,1 +79069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.104702455,1 +79066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.865807599,1 +79070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.117944077,1 +79068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.76093421,1 +79071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.42834764,1 +79074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.659453001,1 +79072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.727058169,1 +79073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.87210591,1 +79075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.511591523,1 +79078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.00004733,1 +79076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.927078067,1 +79077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.932586408,1 +79079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.612844142,1 +79081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.301679852,1 +79080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.32819052,1 +79082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.17077735,1 +79083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.201619401,1 +79085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.542138265,1 +79084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.469819968,1 +79087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.646302377,1 +79088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.275428592,1 +79086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.770607034,1 +79089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.902699735,1 +79090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,6.131276568,1 +79091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.238121169,1 +79092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.912361063,1 +79093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,6.413372837,1 +79095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.666981919,1 +79094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.491588771,1 +79097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.897359459,1 +79096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.923259323,1 +79098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.737891475,1 +79099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.555720257,1 +79100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.66970174,1 +79101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.203130929,1 +79102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.842587589,1 +79103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.935746668,1 +79104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.32598618,1 +79106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.446775694,1 +79105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.626847313,1 +79108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.34862349,1 +79109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.161738165,1 +79110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.223868084,1 +79107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.381957214,1 +79111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.986796679,1 +79112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.300599877,1 +79113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.757935549,1 +79116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.82367043,1 +79115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,6.047109338,1 +79114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.06450147,1 +79117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.721065125,1 +79119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.374148922,1 +79120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.242058093,1 +79118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.537977889,1 +79121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.586149731,1 +79123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.063958047,1 +79124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.911309899,1 +79125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.796542814,1 +79126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.79536473,1 +79122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.213986507,1 +79127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.696555705,1 +79128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,8.469296419,1 +79129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.466551712,1 +79130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.479409412,1 +79131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.870245363,1 +79132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.670891176,1 +79134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.71459811,1 +79133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.432275075,1 +79136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.464579556,1 +79137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.445944357,1 +79135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.641856278,1 +79138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.653118909,1 +79139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.849324869,1 +79142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.847211866,1 +79141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.111681313,1 +79143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.686223647,1 +79144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.091126164,1 +79140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.088354737,1 +79145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.085354561,1 +79148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.053707654,1 +79149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.001770085,1 +79147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.949346589,1 +79146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.372037571,1 +79152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.763067949,1 +79150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.9705145,1 +79153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.745228915,1 +79154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.882459435,1 +79155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.844216912,1 +79151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.873420438,1 +79157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,8.19992479,1 +79158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.48543802,1 +79156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.766263528,1 +79159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.796326133,1 +79161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.210730184,1 +79162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.667158947,1 +79163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.56296061,1 +79160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.663138494,1 +79164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.574843475,1 +79167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.704652645,1 +79166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.629235675,1 +79168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.190945522,1 +79169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.334517222,1 +79170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.050699135,1 +79171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.458890498,1 +79165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.155588303,1 +79172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.571046819,1 +79175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.551034988,1 +79174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.193878218,1 +79173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.86374837,1 +79177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.84903508,1 +79176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.097143369,1 +79178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.550301784,1 +79179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.405523272,1 +79180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.643896772,1 +79181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.108584241,1 +79183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.120781372,1 +79182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.55341476,1 +79186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.419572065,1 +79185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.400732661,1 +79187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.380917277,1 +79184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.115085224,1 +79189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.400698769,1 +79188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.044939344,1 +79191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.63164047,1 +79192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.748276216,1 +79193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.9170343,1 +79190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.392328244,1 +79194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.261678982,1 +79195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.724865475,1 +79196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.698974253,1 +79197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.741337655,1 +79198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.110787351,1 +79199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.020588926,1 +79201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.53108018,1 +79200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.901565616,1 +79203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.516469633,1 +79204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.825779184,1 +79205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.385251707,1 +79202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.331144358,1 +79206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.485892023,1 +79207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.70562549,1 +79208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.828029838,1 +79209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.746865513,1 +79210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.569325082,1 +79211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.099398245,1 +79214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.65755019,1 +79212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.963070406,1 +79215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.876043332,1 +79213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,8.486367051,1 +79216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.343367518,1 +79217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,6.837438254,1 +79218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.415671588,1 +79219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.146276353,1 +79220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.673401558,1 +79221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.475932562,1 +79222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.467416503,1 +79225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.822743518,1 +79223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.453739689,1 +79224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.475680027,1 +79226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.34019462,1 +79227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.028859397,1 +79228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.109540075,1 +79229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.570433448,1 +79230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.560291004,1 +79231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.255038392,1 +79232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.332934928,1 +79233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.858699879,1 +79234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.890094518,1 +79235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.630785959,1 +79237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.325607057,1 +79239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.630892073,1 +79236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.554519016,1 +79238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.221108202,1 +79240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.068890222,1 +79241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.42397985,1 +79243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.762017775,1 +79242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,6.421353904,1 +79244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.953469893,1 +79245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,6.101892436,1 +79246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.587353672,1 +79247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.143504964,1 +79249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.779485795,1 +79248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.290918296,1 +79250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.498750605,1 +79251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.278820731,1 +79252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.53426432,1 +79253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.482416624,1 +79254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.660870747,1 +79255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.209354706,1 +79256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.13325064,1 +79258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.804094483,1 +79259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.097606372,1 +79260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.294129148,1 +79257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.65009685,1 +79261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.731068968,1 +79262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.732112303,1 +79263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.84433372,1 +79264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.754294857,1 +79266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.328925734,1 +79265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.540462931,1 +79267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.048696267,1 +79268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.749773937,1 +79270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.647144381,1 +79269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.645202728,1 +79272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.58916593,1 +79271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,6.574828057,1 +79273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.522163652,1 +79274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.861565115,1 +79276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.241683169,1 +79277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.427650065,1 +79278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.31701162,1 +79279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.450015948,1 +79280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.915895659,1 +79281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.570687231,1 +79275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.739488531,1 +79282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.490094717,1 +79283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.094004868,1 +79284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.294968042,1 +79285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.449239956,1 +79286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.819688049,1 +79287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.605928154,1 +79288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.1021197,1 +79291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.966273381,1 +79290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.381009911,1 +79289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.047333567,1 +79292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.258946907,1 +79293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.524974353,1 +79294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.702237437,1 +79295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.533934112,1 +79296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.656375829,1 +79297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.979346188,1 +79298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.258126378,1 +79300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.149350083,1 +79301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.501941968,1 +79302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.405124006,1 +79303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.11098148,1 +79299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.543759083,1 +79304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.189309268,1 +79305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.912539628,1 +79306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.594648148,1 +79307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.408317029,1 +79308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.330657679,1 +79309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.259959536,1 +79310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,6.36762296,1 +79311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.862139303,1 +79312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.455823935,1 +79313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.914704921,1 +79314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.343656326,1 +79315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.94044809,1 +79316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.288696752,1 +79317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.610479564,1 +79318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.600615009,1 +79320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.310722478,1 +79321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.070392367,1 +79319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.66028289,1 +79323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.083128822,1 +79324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.312621102,1 +79325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,7.229396199,1 +79322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.2296942,1 +79326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.303340208,1 +79327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.134092299,1 +79328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.120451161,1 +79329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.177013035,1 +79332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.610900729,1 +79331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.483229204,1 +79330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.962555653,1 +79333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.197628731,1 +79335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.954021857,1 +79336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.1614429,1 +79338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.397192737,1 +79339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.999170778,1 +79334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.171589583,1 +79337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.188032899,1 +79340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.868856525,1 +79341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.420951536,1 +79342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.915401275,1 +79345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.894462123,1 +79343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.287288714,1 +79346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.555708722,1 +79348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.109204615,1 +79344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,6.957451006,1 +79347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.731626597,1 +79350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.822678587,1 +79351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.602443396,1 +79352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.369925973,1 +79349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.006964283,1 +79354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,6.824633745,1 +79355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.665417163,1 +79353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.455325196,1 +79357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.837274694,1 +79356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.708386746,1 +79358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.761920935,1 +79361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.853431222,1 +79359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.719679764,1 +79360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.086384181,1 +79362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.314146381,1 +79363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,7.203790908,1 +79364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.874102454,1 +79365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.545300697,1 +79366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.390594555,1 +79368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.866955135,1 +79369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.960550873,1 +79370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.870719236,1 +79371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.850299409,1 +79367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.27083628,1 +79372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.681407929,1 +79373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.008763473,1 +79377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.186773451,1 +79376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.501556189,1 +79375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.866084281,1 +79374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.847770613,1 +79380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.72850061,1 +79378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.941538599,1 +79381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.673442048,1 +79379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,6.905073157,1 +79383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.976757058,1 +79382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.066896658,1 +79385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.186169348,1 +79384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.436680905,1 +79386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.613531349,1 +79388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.476179915,1 +79389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.365709202,1 +79390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.366767066,1 +79391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.449829441,1 +79387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.424336268,1 +79392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,6.291391301,1 +79393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,6.178669988,1 +79395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.431100752,1 +79394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.144726599,1 +79396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.591729173,1 +79397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.177895937,1 +79398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,6.805777288,1 +79399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,6.012335244,1 +79400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.069952499,1 +79401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.632829439,1 +79403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.138958897,1 +79402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.95536452,1 +79404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.544657389,1 +79405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.442666479,1 +79406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.484981203,1 +79408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.40342784,1 +79409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.315008822,1 +79407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.95632207,1 +79410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.997696561,1 +79411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.190206032,1 +79412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.470391392,1 +79413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.916506786,1 +79414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.242029922,1 +79416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.144785466,1 +79415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.65040808,1 +79418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.739950944,1 +79417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.370545771,1 +79419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.436451333,1 +79420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.103408327,1 +79421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.033196051,1 +79422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.505849595,1 +79423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.527783429,1 +79424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.971333115,1 +79427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.785260086,1 +79426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.811970792,1 +79425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.149403032,1 +79429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.915749862,1 +79430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.253646193,1 +79431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.598661995,1 +79428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.526343426,1 +79432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.297075355,1 +79433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.60157015,1 +79434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.85513117,1 +79436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.803877801,1 +79438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.797662284,1 +79435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.617458179,1 +79437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.542726401,1 +79440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.854259966,1 +79441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.582096074,1 +79443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.017990057,1 +79442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.397922283,1 +79444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.327792461,1 +79439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.600369189,1 +79445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.520360317,1 +79446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.505562849,1 +79448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.008159932,1 +79449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.16007019,1 +79451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.351689119,1 +79450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.504320037,1 +79447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.614844438,1 +79453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.284346449,1 +79452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.255720332,1 +79454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.89778602,1 +79455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.861918408,1 +79456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.539412278,1 +79457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.735309503,1 +79458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.075142617,1 +79459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.071022703,1 +79461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.053552564,1 +79463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.911414033,1 +79462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.12088812,1 +79464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.069588185,1 +79460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.203915686,1 +79466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.007568552,1 +79468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.385184668,1 +79465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.693610809,1 +79467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.263239782,1 +79470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.737733008,1 +79469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.937654166,1 +79471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.399333654,1 +79472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.756090084,1 +79473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.365012477,1 +79474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.39492891,1 +79475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.027809787,1 +79476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.220558952,1 +79479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.292648325,1 +79478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.987533974,1 +79480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.332655197,1 +79477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.217073211,1 +79482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.006980355,1 +79483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.499243514,1 +79484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.153497594,1 +79481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.921166238,1 +79485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.184550589,1 +79487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.765300469,1 +79486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.669730609,1 +79488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.288991355,1 +79490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.222617903,1 +79491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.655452298,1 +79489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.66129285,1 +79492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.205222645,1 +79494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.501693666,1 +79495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.472140606,1 +79496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,7.59829978,1 +79493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.005660532,1 +79497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.927765788,1 +79498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.674981589,1 +79500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.804982827,1 +79499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.877740178,1 +79501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.776332861,1 +79503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.695587982,1 +79504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.901610761,1 +79505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.85215636,1 +79502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.285197981,1 +79506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.687882837,1 +79507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.723032456,1 +79508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.758273907,1 +79509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.599255408,1 +79511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.798245318,1 +79512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,6.08356971,1 +79510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.582610615,1 +79513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.211289009,1 +79514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.542668613,1 +79515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.463446602,1 +79516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.841419015,1 +79517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.398349342,1 +79518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.873662636,1 +79519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.626262674,1 +79520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.703378163,1 +79522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.280464054,1 +79523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.826946709,1 +79524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.812011199,1 +79525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.602533374,1 +79526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.690436202,1 +79527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.256234258,1 +79521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.929132784,1 +79528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.190882283,1 +79529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.392770892,1 +79531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.070397663,1 +79532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.472192032,1 +79530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.134687513,1 +79533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,6.421316634,1 +79534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.231004414,1 +79535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.114572531,1 +79536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.392456338,1 +79537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.452103778,1 +79539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.605593593,1 +79538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.984082073,1 +79540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.787294892,1 +79541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.809306912,1 +79542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.532047733,1 +79544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.876705427,1 +79545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.285037979,1 +79543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.565706404,1 +79546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.88430534,1 +79547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,7.708669914,1 +79548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.07795145,1 +79550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.983230624,1 +79552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.20430694,1 +79551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.837923883,1 +79549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.974579696,1 +79554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.476682405,1 +79555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.107425644,1 +79553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.667044666,1 +79556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.135555368,1 +79559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.746047282,1 +79557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,7.12422624,1 +79558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.233687807,1 +79560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.148285314,1 +79562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.774139856,1 +79561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.123432347,1 +79565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.581991469,1 +79566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.007797435,1 +79563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.822276806,1 +79564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.205905267,1 +79567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.59282045,1 +79568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.628787524,1 +79570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.051819761,1 +79571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.131219457,1 +79572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.465724079,1 +79569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.857794488,1 +79573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.869865796,1 +79576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.589613153,1 +79574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.648038547,1 +79575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.994956895,1 +79578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.630705177,1 +79577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.596859035,1 +79579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.088529162,1 +79580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.608726972,1 +79581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.085098483,1 +79584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.785720531,1 +79583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.814992444,1 +79582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.304838932,1 +79586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.077347468,1 +79587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.254607249,1 +79588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.643596722,1 +79590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.701108505,1 +79591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.43353273,1 +79585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.101542214,1 +79589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.256066375,1 +79594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.906722639,1 +79592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.93263164,1 +79595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.436565296,1 +79593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.39342667,1 +79597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.532537594,1 +79596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.751128192,1 +79598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.981394957,1 +79599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.834223133,1 +79600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.020805186,1 +79601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.078103448,1 +79602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,6.582891114,1 +79603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.000337362,1 +79604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.216895982,1 +79606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.014275913,1 +79607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.270074899,1 +79605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.303560886,1 +79608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.104264736,1 +79610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.795403505,1 +79611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.901499731,1 +79612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,6.097292323,1 +79609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.084482828,1 +79613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.739658258,1 +79614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.888113228,1 +79615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.988871336,1 +79617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.284623876,1 +79618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.591389137,1 +79616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.768724777,1 +79619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.224555046,1 +79620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.609870938,1 +79623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.407538925,1 +79621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,6.204219152,1 +79622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.891236126,1 +79625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.497455818,1 +79624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.810554458,1 +79626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.095501572,1 +79628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.16324173,1 +79630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.975381539,1 +79629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.736993001,1 +79627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.209011381,1 +79633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.980637685,1 +79631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.37343555,1 +79632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.894208028,1 +79636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.868307926,1 +79635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.401935474,1 +79637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.03522497,1 +79634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.756505201,1 +79638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.123312233,1 +79639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.216156734,1 +79640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.512088777,1 +79641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.247929891,1 +79642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.558585931,1 +79643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.238733062,1 +79644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.870810703,1 +79645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.329318944,1 +79646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.450888782,1 +79647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.912317478,1 +79648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,6.586554222,1 +79650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.87662501,1 +79651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.928905004,1 +79652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.186988704,1 +79653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.283357522,1 +79649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.148288649,1 +79654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.456950204,1 +79655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.184555623,1 +79656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.33670745,1 +79657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.32149883,1 +79658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,7.350616076,1 +79659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.982950071,1 +79660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.26574605,1 +79662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.276825921,1 +79661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.978683956,1 +79663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.176630209,1 +79665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.191880926,1 +79664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.931726677,1 +79666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.152252521,1 +79667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.995762068,1 +79669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.417629278,1 +79668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.701886707,1 +79670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.589403917,1 +79671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.146866406,1 +79672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.030631784,1 +79673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.095423801,1 +79675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.448760503,1 +79674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.439454236,1 +79676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.372746591,1 +79678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.610610829,1 +79677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.970628471,1 +79679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.710064156,1 +79680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.826000174,1 +79681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.026035377,1 +79682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.105089102,1 +79684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.02532256,1 +79685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,6.416141521,1 +79687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.631022626,1 +79683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.007821471,1 +79688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.715443127,1 +79686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.360725157,1 +79689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,6.080067371,1 +79690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.211910482,1 +79691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.60956764,1 +79693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.43783248,1 +79694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.918811,1 +79695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.848901446,1 +79692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.655787024,1 +79697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.299500105,1 +79699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.139338935,1 +79696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.753994553,1 +79698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.707893909,1 +79701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.805091992,1 +79702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.625425535,1 +79703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.824355706,1 +79700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.88631329,1 +79705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.154304961,1 +79706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.28331717,1 +79704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.622992521,1 +79708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.529988781,1 +79707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.943406095,1 +79709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.143031831,1 +79711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.594715059,1 +79712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.306832056,1 +79710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.434280222,1 +79713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.513644558,1 +79715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.97440858,1 +79716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,6.05705661,1 +79714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.534269287,1 +79717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.329613638,1 +79719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.31381059,1 +79720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.077816005,1 +79722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,6.204540975,1 +79721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.041321095,1 +79723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.80130858,1 +79718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.519577082,1 +79725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.678247407,1 +79726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.441158939,1 +79727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.344429846,1 +79724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.316946455,1 +79728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.041352321,1 +79729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.261539042,1 +79730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.723283606,1 +79731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.345423725,1 +79732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.705341291,1 +79733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.730327804,1 +79734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.648070946,1 +79735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.736228889,1 +79736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.992017172,1 +79737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.143593552,1 +79739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.198731871,1 +79740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.086935057,1 +79741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.966635257,1 +79738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.263636767,1 +79742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.470230091,1 +79743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.453481097,1 +79745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,6.068280191,1 +79744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.549259522,1 +79746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.064915622,1 +79747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.212828075,1 +79748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.010976658,1 +79749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.864045049,1 +79750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.253691072,1 +79751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.314300595,1 +79752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.954333388,1 +79753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.673750105,1 +79754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.614525805,1 +79755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.241633877,1 +79757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.27252052,1 +79758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.712199037,1 +79756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.638062283,1 +79759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.16720491,1 +79760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.712397348,1 +79762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.830283184,1 +79761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.822623046,1 +79763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,0.860655419,1 +79764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.651830146,1 +79766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.048566222,1 +79767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.24875624,1 +79765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.961029967,1 +79768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.28539294,1 +79769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.952888363,1 +79770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.132667135,1 +79772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.974809693,1 +79773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.738562833,1 +79774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.317617035,1 +79771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.70536762,1 +79775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.585953199,1 +79776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.035751898,1 +79777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.527560437,1 +79778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.04685841,1 +79779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.380175434,1 +79780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.317720866,1 +79781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.238146115,1 +79783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.811773717,1 +79782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.398668249,1 +79784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.519916938,1 +79785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.833721714,1 +79786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.184345556,1 +79787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.544469395,1 +79788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.200219267,1 +79789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.916079278,1 +79790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.923600823,1 +79793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.584843517,1 +79792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.438780863,1 +79794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.166029801,1 +79795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.675271147,1 +79796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.303221833,1 +79797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,6.531800998,1 +79791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.4291844,1 +79798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.081949565,1 +79799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.14928736,1 +79800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.141373202,1 +79802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.623353038,1 +79803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.781606339,1 +79801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.064730414,1 +79804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.865451913,1 +79806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.838862493,1 +79807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.361969018,1 +79805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.287675019,1 +79808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.575813313,1 +79809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.802044492,1 +79811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,6.558326108,1 +79812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.567226213,1 +79810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.727279448,1 +79813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.065719262,1 +79814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.464449475,1 +79815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.503102843,1 +79817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.841553807,1 +79818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.600503648,1 +79819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.276812694,1 +79816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.137398191,1 +79820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.697720976,1 +79821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.481494038,1 +79823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.503672825,1 +79822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.156986067,1 +79824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.427023937,1 +79825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.948093785,1 +79827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.275681944,1 +79826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.982607369,1 +79828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.980037097,1 +79830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.338830775,1 +79829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.435689791,1 +79832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.232706584,1 +79833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.89295536,1 +79834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.145066893,1 +79831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,8.069375746,1 +79835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.629064099,1 +79837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.852856113,1 +79838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.929632753,1 +79836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.996006783,1 +79839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.833916851,1 +79842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.921086418,1 +79841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.808202405,1 +79843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.557620069,1 +79844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.457949428,1 +79840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.305843463,1 +79845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.860541495,1 +79846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.520722798,1 +79847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.28562895,1 +79848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.074773963,1 +79849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.742052259,1 +79851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.73770297,1 +79850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.118799448,1 +79852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.510632762,1 +79853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.719072362,1 +79854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.367097108,1 +79855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.013464432,1 +79856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.483501913,1 +79857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.026628017,1 +79858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.404036958,1 +79859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.673994407,1 +79861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.646141083,1 +79862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.704833506,1 +79863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.845056712,1 +79860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.680126238,1 +79866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.77587928,1 +79865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.934472698,1 +79864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.428472817,1 +79867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.686698839,1 +79869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.373821118,1 +79868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.669330384,1 +79871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.714306476,1 +79870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.602218186,1 +79872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.876321984,1 +79873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.852741624,1 +79874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.846984366,1 +79875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.26454175,1 +79876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.474969219,1 +79877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.524327455,1 +79879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.684186021,1 +79881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.671635048,1 +79878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.75462591,1 +79880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.006316048,1 +79883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.041060778,1 +79882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.583693033,1 +79884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.614033441,1 +79885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.922395554,1 +79886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.971163103,1 +79887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.777199693,1 +79889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.715910008,1 +79888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.286763552,1 +79890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.559364174,1 +79892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.261892255,1 +79891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.873864517,1 +79893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.240774216,1 +79894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.488792541,1 +79895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.717392599,1 +79896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.649846432,1 +79897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.756231472,1 +79898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.624164855,1 +79899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.011656736,1 +79902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.87864435,1 +79901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.207222283,1 +79900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.222828289,1 +79903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.513642171,1 +79904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.561293093,1 +79905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.976332191,1 +79907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.482605031,1 +79908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.449185423,1 +79909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.897271779,1 +79910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.596328697,1 +79906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.516258737,1 +79911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.535993411,1 +79912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.528268923,1 +79913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.407604498,1 +79914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.458303028,1 +79915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.476070781,1 +79917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.547288747,1 +79916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.515278461,1 +79918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.245231757,1 +79919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.023842746,1 +79920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.428049242,1 +79921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.389802888,1 +79923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.873484218,1 +79924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.076957705,1 +79925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.826889887,1 +79922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.950898077,1 +79926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.983707516,1 +79928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.71558517,1 +79927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.13682689,1 +79929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.311045194,1 +79930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.05015738,1 +79932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.195703794,1 +79931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.005057423,1 +79933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.820224679,1 +79934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.829740809,1 +79935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.80976673,1 +79936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.154547863,1 +79938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.776841919,1 +79939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.503261681,1 +79940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.230295836,1 +79941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.886510566,1 +79943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.205960767,1 +79942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.917616923,1 +79937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.397037374,1 +79944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.006425395,1 +79945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.99125641,1 +79946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.324926526,1 +79947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,6.501776339,1 +79948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.523612236,1 +79949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.628435374,1 +79950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.383403191,1 +79951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.948459584,1 +79953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.23185728,1 +79952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.985452193,1 +79954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.323931459,1 +79955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.653159339,1 +79956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.276363975,1 +79957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.763635673,1 +79958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.119909167,1 +79960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.670793673,1 +79959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.235338635,1 +79961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.697079173,1 +79962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.828355834,1 +79965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.764511355,1 +79964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.119375886,1 +79963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.886796132,1 +79966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.772252686,1 +79967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.450933325,1 +79969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,7.426477955,1 +79968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.40649843,1 +79970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.705071093,1 +79971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.214996102,1 +79972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.467044212,1 +79973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.467129843,1 +79975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.256199568,1 +79976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.95734769,1 +79974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.179491969,1 +79978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.319598304,1 +79979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.519438557,1 +79980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.265629935,1 +79977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.285455673,1 +79981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.093929101,1 +79982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.14403665,1 +79983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,6.314833002,1 +79985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.347469735,1 +79984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.99664189,1 +79986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.28530644,1 +79987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.385371787,1 +79988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.36251825,1 +79989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,2.508911114,1 +79990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.591698819,1 +79992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.119496984,1 +79991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.358576421,1 +79993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.336326799,1 +79994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.080325851,1 +79995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,5.800340791,1 +79998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.592261537,1 +79996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.193853046,1 +79999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,3.357163802,1 +80000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,1.813284667,1 +79997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.3,10,1,4.694579615,1 +89001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.754767077,1 +89002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.295182619,1 +89004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.616970004,1 +89003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.071959442,1 +89006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.538971504,1 +89007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.130738251,1 +89008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.471866127,1 +89009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.41648982,1 +89010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.644210262,1 +89011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.495200455,1 +89005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.140840753,1 +89012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.033085202,1 +89014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.100945518,1 +89013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.487638512,1 +89015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.233252232,1 +89016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.020214552,1 +89017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.309369154,1 +89018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.931084005,1 +89019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.113225444,1 +89020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,6.253460142,1 +89021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.405621328,1 +89022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.071560482,1 +89024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.701255566,1 +89025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.12290213,1 +89023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.090133231,1 +89026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.153137255,1 +89027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.357921237,1 +89028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.312716329,1 +89029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.679709467,1 +89030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.397924796,1 +89031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.447989884,1 +89032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.404734959,1 +89033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.31441188,1 +89035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.344379763,1 +89036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.149737773,1 +89034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.282037813,1 +89037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.434783565,1 +89038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.450048999,1 +89039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.53108184,1 +89040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.783277306,1 +89041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.983812533,1 +89043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.484516561,1 +89042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.5096362,1 +89045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.2928452,1 +89046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.057534874,1 +89044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.594152728,1 +89047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.685720589,1 +89048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.50083807,1 +89049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.263860251,1 +89051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.048323782,1 +89050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.915172749,1 +89052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,6.073735615,1 +89054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.498317354,1 +89053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.482808598,1 +89055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.774585126,1 +89056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.154058128,1 +89057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.91677718,1 +89058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.669110309,1 +89059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.706045937,1 +89060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.990498813,1 +89061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.544293309,1 +89062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.068008857,1 +89063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.349823587,1 +89065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.251176645,1 +89064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.133345442,1 +89066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.296868207,1 +89067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.761960283,1 +89068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.114987893,1 +89069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.964123879,1 +89070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.774434652,1 +89071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.727630102,1 +89072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,6.558874511,1 +89073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.336918009,1 +89074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.312189381,1 +89076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.691700479,1 +89077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.121606037,1 +89078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.366045695,1 +89075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.138117335,1 +89080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.030775267,1 +89081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.019109951,1 +89082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.499461299,1 +89084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.130597044,1 +89083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.476136657,1 +89085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.48199267,1 +89079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,1.54256998,1 +89086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.492458391,1 +89087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.110159532,1 +89088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.74720689,1 +89090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.953663278,1 +89091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.963697064,1 +89089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.990372043,1 +89092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.713011773,1 +89093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.856692839,1 +89094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.288936955,1 +89095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.242589706,1 +89096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.907371778,1 +89097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.872562644,1 +89098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.080746621,1 +89099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.397803185,1 +89100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.028514332,1 +89101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.716861781,1 +89102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.704673413,1 +89104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.627677357,1 +89105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.70024153,1 +89106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.546468983,1 +89107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.335819235,1 +89103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,1.774803782,1 +89108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.602222413,1 +89109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.901660561,1 +89110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.22004945,1 +89112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.84133911,1 +89111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.497944424,1 +89113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.407648632,1 +89114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.375645746,1 +89115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.594072077,1 +89116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.054344924,1 +89117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.284523807,1 +89118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.304670419,1 +89119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.091068946,1 +89121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.582280588,1 +89120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.075312436,1 +89122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.031060362,1 +89123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.808198484,1 +89124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.210507006,1 +89125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,6.747488616,1 +89126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.154857081,1 +89127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.829452981,1 +89128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.408581921,1 +89130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.603544206,1 +89129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,6.212917677,1 +89131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.446276963,1 +89132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.716776473,1 +89133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.049622315,1 +89134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.646211613,1 +89135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.934104086,1 +89136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,0.837970896,1 +89137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.598979941,1 +89139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.763067851,1 +89140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.92774342,1 +89141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.040980388,1 +89143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.259416294,1 +89142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.781537941,1 +89138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.62637014,1 +89145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.698749185,1 +89146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.748610977,1 +89144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.664960553,1 +89147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,1.714241624,1 +89148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.79112221,1 +89149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.701316858,1 +89150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.924155959,1 +89151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.565179408,1 +89153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.509691662,1 +89152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.679135564,1 +89154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.866111335,1 +89155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.322787477,1 +89156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.862871887,1 +89157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.05203335,1 +89160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.622559659,1 +89161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.73753411,1 +89158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.269339378,1 +89163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.641598275,1 +89159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.997045872,1 +89162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.144729119,1 +89164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.50333905,1 +89167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.116518528,1 +89166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.262612938,1 +89168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.913496385,1 +89165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.384342135,1 +89170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.218641978,1 +89171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.746039701,1 +89169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.44352743,1 +89172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,1.988421101,1 +89173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.31320395,1 +89175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.205390727,1 +89176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.118987665,1 +89174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.6171426,1 +89178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.45210098,1 +89179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.533589467,1 +89180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.188580348,1 +89181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.310349733,1 +89182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.021881067,1 +89177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.217492816,1 +89183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.529144119,1 +89187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.444669716,1 +89184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,6.211578042,1 +89186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.679759713,1 +89185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.698175666,1 +89189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.452198562,1 +89190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.64406151,1 +89191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.972132057,1 +89192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.415520854,1 +89188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.298755184,1 +89194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.557169502,1 +89193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.565233926,1 +89195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.729115806,1 +89197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.360199036,1 +89196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.537587953,1 +89201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.77962356,1 +89198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.376671848,1 +89200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.460619991,1 +89199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.244004201,1 +89202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.66847721,1 +89204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.445712787,1 +89205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.135831018,1 +89203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.118133797,1 +89207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.885346442,1 +89208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.550106445,1 +89209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.317064937,1 +89210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.837613053,1 +89211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.727374371,1 +89206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.0384847,1 +89214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.054529358,1 +89215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.276030505,1 +89212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.937185891,1 +89213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.231031242,1 +89216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.520427116,1 +89217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.702261613,1 +89219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.93305798,1 +89220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.042936749,1 +89218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.526680438,1 +89221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.447674323,1 +89222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.169332067,1 +89223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.885454846,1 +89224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.847878647,1 +89225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.498432185,1 +89226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.540646794,1 +89227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.134713077,1 +89228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.218296565,1 +89230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.015175757,1 +89229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.727972851,1 +89231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.082170678,1 +89233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.465170196,1 +89234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,6.840471758,1 +89235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.890526007,1 +89237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.695777136,1 +89236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.99645964,1 +89238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.467437638,1 +89232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.786570666,1 +89240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.183400651,1 +89239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.741869481,1 +89241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.294864503,1 +89242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.982794418,1 +89244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.433738518,1 +89243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.083505183,1 +89246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.034481689,1 +89245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.584275325,1 +89247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.414499038,1 +89248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.510658932,1 +89250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.705044069,1 +89251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.661359042,1 +89252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.851090819,1 +89253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.32851444,1 +89249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.249360341,1 +89254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.057975964,1 +89255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.050179513,1 +89256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.294459043,1 +89257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.187845648,1 +89258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.682764843,1 +89259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.292191864,1 +89260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.527215403,1 +89261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.406007547,1 +89262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.846198866,1 +89263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.966250956,1 +89264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.57278084,1 +89265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.18037772,1 +89266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,1.948584278,1 +89267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.202281188,1 +89268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.930401713,1 +89270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.992003143,1 +89271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.195486645,1 +89272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.08117902,1 +89269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.387338866,1 +89273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,6.532891534,1 +89274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.3117641,1 +89275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.068188776,1 +89276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.327900392,1 +89277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.929295171,1 +89278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.177263091,1 +89279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.491781526,1 +89280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.273547462,1 +89281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.257142159,1 +89282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.266046324,1 +89283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.454083985,1 +89284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.757323803,1 +89285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,6.253507241,1 +89286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.887069397,1 +89287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.385642247,1 +89289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.856019917,1 +89290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.877699939,1 +89291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.199866473,1 +89288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,8.821740992,1 +89292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,6.596203869,1 +89293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.633032062,1 +89294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.307991078,1 +89295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.681505115,1 +89296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.985732432,1 +89297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.46904876,1 +89298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.765347616,1 +89300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,6.040678108,1 +89299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.678223088,1 +89301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.076996325,1 +89302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.435827749,1 +89303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.339028937,1 +89304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.948241789,1 +89305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.318364289,1 +89306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.889606469,1 +89307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.57224512,1 +89309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.177525852,1 +89310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.766246014,1 +89311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.591489925,1 +89308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.003683557,1 +89312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.434377726,1 +89313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.953995878,1 +89314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.073955393,1 +89316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.133073967,1 +89317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.986852472,1 +89318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.743743365,1 +89319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.932062332,1 +89315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,7.051907508,1 +89320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.268257723,1 +89321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.75069803,1 +89323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.006330178,1 +89322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.382376769,1 +89324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.324910818,1 +89325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.279320916,1 +89327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.730113721,1 +89328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.972564734,1 +89329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.874415992,1 +89326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.175735704,1 +89330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.897312649,1 +89331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.783429714,1 +89332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.922529725,1 +89334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.76667362,1 +89335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.419626672,1 +89336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.304335524,1 +89337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.417667601,1 +89333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.904866729,1 +89339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.430203535,1 +89338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.732209292,1 +89340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.724799413,1 +89341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.551589601,1 +89342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.488588815,1 +89343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.562533501,1 +89344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.378041747,1 +89346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.516019651,1 +89345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.371323883,1 +89347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.854372851,1 +89348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.041728123,1 +89351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.504815575,1 +89349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.758533853,1 +89350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.53006007,1 +89352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.144384152,1 +89353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.740168235,1 +89354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.815656767,1 +89355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.734569572,1 +89356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.565091704,1 +89357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.295914921,1 +89359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.381884414,1 +89358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.878064311,1 +89360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.04367004,1 +89361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.672240515,1 +89362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.907572238,1 +89364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.526634296,1 +89363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.792389978,1 +89365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.715659537,1 +89366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.250386349,1 +89367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.359731497,1 +89368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,6.692170434,1 +89369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.946877747,1 +89370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.484672003,1 +89371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,6.092851866,1 +89373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.450769545,1 +89372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.913134351,1 +89374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.105289119,1 +89375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.889067454,1 +89377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.925431546,1 +89376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.171302476,1 +89378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.502913139,1 +89379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.785521526,1 +89380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.791162157,1 +89381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.003865417,1 +89382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.045904508,1 +89383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.553834602,1 +89384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.281065236,1 +89387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.647014271,1 +89386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.849251953,1 +89385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.007103272,1 +89388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.667237886,1 +89389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.160117924,1 +89390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.717259977,1 +89391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.584641663,1 +89393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.395120607,1 +89392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.860471191,1 +89394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.744605927,1 +89397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.007930181,1 +89395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.15510464,1 +89398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.768400357,1 +89396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.035221881,1 +89400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.2462708,1 +89402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,6.235029853,1 +89401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.833972315,1 +89399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.553365023,1 +89404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.631026252,1 +89405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.881363999,1 +89406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.679880004,1 +89403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,7.154470153,1 +89407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.474070375,1 +89408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.509867457,1 +89409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.219485452,1 +89411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.560670296,1 +89412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.502304555,1 +89410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.118422679,1 +89413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.252743648,1 +89416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.014912763,1 +89414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.890966647,1 +89415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.023769547,1 +89419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.386542904,1 +89417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.897784209,1 +89418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,6.155783926,1 +89420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.674455429,1 +89421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.669153505,1 +89422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.879944443,1 +89424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.449147784,1 +89425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.994106611,1 +89426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.23229494,1 +89427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.088794433,1 +89423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,1.535308632,1 +89429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.492307551,1 +89428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.734908109,1 +89430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.690571352,1 +89431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.022607899,1 +89433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.166637706,1 +89434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.938710645,1 +89435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.122616433,1 +89436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.729851344,1 +89432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.035961222,1 +89437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.40776641,1 +89438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.110731838,1 +89439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.482923157,1 +89440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.94133596,1 +89441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.414700429,1 +89443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.017986071,1 +89444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.278675961,1 +89442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.339695326,1 +89446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.679826774,1 +89445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.140494229,1 +89447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.6448242,1 +89449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.040770901,1 +89448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.347475931,1 +89450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.05281208,1 +89453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.247725992,1 +89452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.24036479,1 +89454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.99037974,1 +89451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.649485202,1 +89455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.669654347,1 +89457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.349890231,1 +89458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.324687889,1 +89456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.625723027,1 +89459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.823057767,1 +89461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.648383352,1 +89460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.478689524,1 +89462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.274906549,1 +89463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.084173467,1 +89464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.899158706,1 +89465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,8.640720971,1 +89466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.278046947,1 +89467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.395065543,1 +89468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.945982353,1 +89469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.825599851,1 +89470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.873432086,1 +89471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.182977169,1 +89473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.587561304,1 +89472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.416297927,1 +89476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,6.293152049,1 +89474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.398945569,1 +89475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.455496912,1 +89477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.701213238,1 +89478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.196640742,1 +89480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.036655308,1 +89479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.232489958,1 +89481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.274153658,1 +89482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.750545178,1 +89483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.326115886,1 +89484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.447928307,1 +89485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.13913299,1 +89486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.221124463,1 +89487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,6.232189899,1 +89488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.315904721,1 +89490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.208602411,1 +89489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.329642107,1 +89491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.411862513,1 +89493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.316623943,1 +89494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,6.104305504,1 +89492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.92821766,1 +89495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.438725989,1 +89496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.70765593,1 +89497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.154028338,1 +89498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.075386415,1 +89499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.110817344,1 +89500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.410832454,1 +89501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.09126243,1 +89503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.841074831,1 +89502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,6.148561339,1 +89504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.651021825,1 +89505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.249885012,1 +89506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.23943764,1 +89507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.354792587,1 +89509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.457412549,1 +89508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.221908774,1 +89510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.436793667,1 +89514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.239171966,1 +89513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.16213233,1 +89512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.076555719,1 +89511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.951715001,1 +89516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.944603224,1 +89515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.31350301,1 +89517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.009949396,1 +89518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.986031136,1 +89520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.256864977,1 +89519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.583433034,1 +89521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.90987847,1 +89522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.298575499,1 +89523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.996069099,1 +89525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.17702545,1 +89524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.24457433,1 +89526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.358020966,1 +89527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.425549589,1 +89528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.081591184,1 +89529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.611970031,1 +89530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.588535245,1 +89531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,1.90200679,1 +89532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.897965008,1 +89533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.404180841,1 +89534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.91443675,1 +89536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.965937736,1 +89535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.231098422,1 +89537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.219768713,1 +89540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.090914616,1 +89538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.12266828,1 +89539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.088049148,1 +89541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.483590012,1 +89543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.181344226,1 +89544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.369026897,1 +89542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,8.427935594,1 +89546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.624651782,1 +89547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.069656084,1 +89548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.284795405,1 +89545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.726239343,1 +89550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.164508331,1 +89551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.358778769,1 +89549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.796678879,1 +89552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.288138593,1 +89553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.482642593,1 +89554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.772948624,1 +89555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.833905256,1 +89556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.422199427,1 +89558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.03809065,1 +89559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.302178401,1 +89557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.461810156,1 +89560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.174196129,1 +89561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,6.008873378,1 +89562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.423532126,1 +89563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,1.999880129,1 +89565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.392894267,1 +89566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.137135458,1 +89567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.753063675,1 +89564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.349069029,1 +89568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.775310511,1 +89569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.599659951,1 +89571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.48617349,1 +89572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.407790947,1 +89573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.006128136,1 +89570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.010056056,1 +89574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.47089343,1 +89575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.39962346,1 +89576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.1784913,1 +89578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.489210701,1 +89579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.120712979,1 +89577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.726884368,1 +89580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.833768527,1 +89583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.129282571,1 +89582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.196946868,1 +89581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.104694228,1 +89584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.366836361,1 +89585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.380401372,1 +89586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.001744152,1 +89587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,7.490132824,1 +89588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.675428532,1 +89590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.048811448,1 +89591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.795483694,1 +89592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.198470427,1 +89593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.814980822,1 +89595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.364167241,1 +89589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.692700056,1 +89594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,6.653613339,1 +89598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.048505263,1 +89596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.405190464,1 +89597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.30525291,1 +89600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.453678582,1 +89599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.716464053,1 +89601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,6.434153106,1 +89602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.625530927,1 +89603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.66486258,1 +89605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.075188655,1 +89604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.07527946,1 +89606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.480096718,1 +89608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.53718556,1 +89610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.594480823,1 +89609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,7.898430329,1 +89607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.61218808,1 +89612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.71567288,1 +89611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.356244828,1 +89614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.140429288,1 +89615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.667694717,1 +89616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.463136904,1 +89613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.572975915,1 +89617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.141037302,1 +89618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.749149466,1 +89619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.014343157,1 +89621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.539624503,1 +89622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,6.76743016,1 +89623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.755312656,1 +89620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.729684741,1 +89626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.648006147,1 +89627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.921350852,1 +89624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.261083378,1 +89625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.324018995,1 +89628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.852452369,1 +89629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.101162713,1 +89631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.761907305,1 +89630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.679689857,1 +89632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.971291557,1 +89634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.664099337,1 +89635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.316755546,1 +89636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,6.656569481,1 +89637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.035513552,1 +89638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.572382064,1 +89633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.686104479,1 +89640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.373402185,1 +89639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.408462044,1 +89641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,6.191917459,1 +89642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.805301216,1 +89644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.604461057,1 +89643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.999240877,1 +89645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.371022675,1 +89646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.834849432,1 +89647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.676550873,1 +89648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.296986548,1 +89649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.451835378,1 +89650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.42608594,1 +89651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,6.212625077,1 +89652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.621323493,1 +89653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.176761435,1 +89656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.850629699,1 +89655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,1.623310359,1 +89654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.565978046,1 +89657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.220086003,1 +89659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.104844377,1 +89658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.976981063,1 +89661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.87098599,1 +89662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.821574332,1 +89660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.375435243,1 +89663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.707325029,1 +89665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.02721524,1 +89664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.964810765,1 +89667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.57503457,1 +89666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.063721045,1 +89668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.817180231,1 +89669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.347239108,1 +89670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.384829012,1 +89671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.937399357,1 +89673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.188050795,1 +89672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.627073746,1 +89674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.72790221,1 +89675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.369079884,1 +89676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.016657368,1 +89678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.992121262,1 +89677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.802852963,1 +89679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.171456775,1 +89680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.970831115,1 +89681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.136863787,1 +89682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.271156043,1 +89683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.006760868,1 +89685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.787886661,1 +89684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.086819002,1 +89686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.706938958,1 +89689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.706823518,1 +89688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.929184833,1 +89690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,6.402006855,1 +89691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.462175321,1 +89692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.853713807,1 +89693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.494404947,1 +89687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.436656945,1 +89695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.315564639,1 +89694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.93266449,1 +89696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.983745744,1 +89697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.102738927,1 +89698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.674908485,1 +89699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.600229315,1 +89700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.372737694,1 +89702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.907983914,1 +89701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.269405821,1 +89704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.602208878,1 +89703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.884657299,1 +89705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.878133025,1 +89707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,6.233855617,1 +89708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.098256347,1 +89706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.10398079,1 +89709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.403799952,1 +89711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.834973081,1 +89710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.948392675,1 +89713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.214525277,1 +89715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.72464328,1 +89714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.524857122,1 +89716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.848562628,1 +89717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.069316349,1 +89712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.764174638,1 +89719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.969255679,1 +89718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.626686543,1 +89721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.644979895,1 +89722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.540982866,1 +89720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.965787402,1 +89723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.713333347,1 +89724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.304900299,1 +89725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.592457241,1 +89726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.384441197,1 +89727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.178255984,1 +89728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.011676292,1 +89729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.722201393,1 +89730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.205898054,1 +89731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.129045427,1 +89734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.337342368,1 +89735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.539308419,1 +89732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.146154885,1 +89733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.068630727,1 +89736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.556984652,1 +89737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.977265024,1 +89738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.944628926,1 +89739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.895871596,1 +89740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.159577657,1 +89741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.37942811,1 +89743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.740078394,1 +89744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.496413726,1 +89745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.452188689,1 +89742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.720696742,1 +89746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.405285092,1 +89747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.469493614,1 +89748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.969574812,1 +89749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.499907446,1 +89750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.386771107,1 +89751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.330616659,1 +89752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.323838754,1 +89753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.997424537,1 +89754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.310660464,1 +89755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.115158014,1 +89756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.229871385,1 +89758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.052133266,1 +89759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.548565637,1 +89760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.610848339,1 +89757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.844225306,1 +89761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,1.306265998,1 +89762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,6.078754832,1 +89764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.572446242,1 +89763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.901988612,1 +89765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.668124456,1 +89766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,7.951277172,1 +89768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.918852327,1 +89769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.966744838,1 +89770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.892773895,1 +89771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.895217797,1 +89767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,6.309744083,1 +89772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.666750318,1 +89773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.58585831,1 +89774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.88380711,1 +89776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.521034319,1 +89777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.921130813,1 +89778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.591648676,1 +89775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.077932028,1 +89780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.054194092,1 +89782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.941402086,1 +89779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.628980634,1 +89781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.338778303,1 +89783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.301812133,1 +89785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.389873289,1 +89784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.219978046,1 +89786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,6.472110521,1 +89787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.139415822,1 +89788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.977463869,1 +89790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.045134978,1 +89791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.985603347,1 +89792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,6.718706194,1 +89793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.740062563,1 +89789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,6.217368504,1 +89794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.562880985,1 +89795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.818689598,1 +89797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.328772805,1 +89796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.892826711,1 +89798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.469912543,1 +89799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.368196383,1 +89801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.346779105,1 +89802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.060097378,1 +89800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.445137166,1 +89803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.48075029,1 +89804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.704570661,1 +89805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.315810109,1 +89806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.179009622,1 +89807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.094545951,1 +89808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.744542664,1 +89809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.09826014,1 +89811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.519312786,1 +89810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.817624372,1 +89812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.109057369,1 +89813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.839261064,1 +89814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.890879404,1 +89816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.686037331,1 +89815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.851243288,1 +89817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.933008445,1 +89818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.21018814,1 +89819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.445093876,1 +89820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.380872355,1 +89822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.156081432,1 +89821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.925579924,1 +89823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.896747204,1 +89825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.131224102,1 +89824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.864995808,1 +89826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.297517328,1 +89827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.184887735,1 +89829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.903975375,1 +89828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.845789945,1 +89830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.375369433,1 +89831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.070807289,1 +89832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.388204061,1 +89834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.483274915,1 +89833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.510024727,1 +89835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.419851556,1 +89836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.485380121,1 +89837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.314299272,1 +89838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.90394518,1 +89839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.033831449,1 +89842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.248150513,1 +89841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.52809195,1 +89840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.45323107,1 +89845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.684111595,1 +89843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.563283934,1 +89846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.808301321,1 +89847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.425284669,1 +89848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.829804376,1 +89844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.180688735,1 +89849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.515004313,1 +89850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.754080128,1 +89851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.56914441,1 +89852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.582837011,1 +89853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.46200657,1 +89855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.608446173,1 +89854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,1.997685048,1 +89856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.679508683,1 +89858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,6.498703483,1 +89859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.668261639,1 +89860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.248290691,1 +89861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.579422569,1 +89857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.187725054,1 +89862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.32526476,1 +89864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.716667055,1 +89865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.687249837,1 +89866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.669868731,1 +89867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.321758607,1 +89863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.184675694,1 +89869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.531750238,1 +89868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.264011947,1 +89871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.190955266,1 +89870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.657870371,1 +89873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.129271969,1 +89872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.85344949,1 +89874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.569253611,1 +89875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.137969738,1 +89877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.200085798,1 +89878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.112215846,1 +89879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.109487206,1 +89880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.287005172,1 +89876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.273425521,1 +89882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.207713964,1 +89883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.502223848,1 +89881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.721429334,1 +89884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.978891789,1 +89885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.130192648,1 +89886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.587696136,1 +89888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.683968157,1 +89887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.705808468,1 +89890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.063925229,1 +89889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.315648802,1 +89891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.282869343,1 +89892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.425615198,1 +89894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.025564412,1 +89893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.436189551,1 +89896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.205728954,1 +89897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.57922813,1 +89898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.016397151,1 +89899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.234231665,1 +89900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,6.142510843,1 +89895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.00731566,1 +89901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.780615594,1 +89902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.018577082,1 +89904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.707079984,1 +89903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.459825574,1 +89905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.603404334,1 +89906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.906973855,1 +89907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.31934935,1 +89908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.784763766,1 +89909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.363144109,1 +89910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.966059677,1 +89912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.547298017,1 +89911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.096015758,1 +89913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.828608992,1 +89915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.411782508,1 +89914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.686427314,1 +89917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.586039946,1 +89916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,6.495087217,1 +89918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.949899504,1 +89919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.945142003,1 +89920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.672723206,1 +89921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.595771377,1 +89922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.63306713,1 +89924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.680589303,1 +89923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.22818652,1 +89926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,1.827467684,1 +89928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.121816613,1 +89927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.614865361,1 +89925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.153191626,1 +89929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.277243574,1 +89930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.593591861,1 +89931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.356872164,1 +89932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.396567109,1 +89933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.839003667,1 +89934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.385234248,1 +89935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.754804645,1 +89937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.719850158,1 +89938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.347114798,1 +89939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.820413259,1 +89940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.477391078,1 +89941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.30080209,1 +89942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.427138945,1 +89936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.549413257,1 +89943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.125019652,1 +89944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.245834372,1 +89945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.989209126,1 +89946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.361179143,1 +89949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.725426646,1 +89948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.930873107,1 +89947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.97474895,1 +89950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,1.954211146,1 +89951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.836980404,1 +89952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.611095122,1 +89953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.27505448,1 +89955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.28856512,1 +89956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,6.853584663,1 +89957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.635905909,1 +89958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.215121228,1 +89959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.371541915,1 +89954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.151950505,1 +89960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.499601178,1 +89961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.766646593,1 +89964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.914291784,1 +89962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.878651888,1 +89963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.152564405,1 +89965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.204347663,1 +89966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.267453577,1 +89968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.057198689,1 +89967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.192550271,1 +89969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.848118454,1 +89970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.259140591,1 +89971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.198534343,1 +89972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,6.188328054,1 +89973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.132637105,1 +89974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.331833377,1 +89976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.520353968,1 +89978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.442470853,1 +89975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.662151014,1 +89977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.797725873,1 +89979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.215797734,1 +89981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.809809795,1 +89980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.571535454,1 +89982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.340480884,1 +89983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.601330743,1 +89985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.144155273,1 +89984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.751861368,1 +89986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.436805171,1 +89987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.811645775,1 +89988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.45953016,1 +89989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.948424882,1 +89990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,4.595952512,1 +89991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.539026236,1 +89992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.644067144,1 +89994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.574274973,1 +89995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.658601535,1 +89993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.468083104,1 +89996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.28950684,1 +89997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.421574032,1 +89998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,3.306928335,1 +89999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,5.271203933,1 +90000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.2,10,1,2.722746715,1 +99001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.155417677,1 +99002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.784316537,1 +99005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.746781897,1 +99006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.812276964,1 +99004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.643045954,1 +99007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.153468695,1 +99003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.612555629,1 +99009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.55699816,1 +99011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.230543064,1 +99008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.824375228,1 +99010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.531581106,1 +99013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.46647433,1 +99012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,7.14606904,1 +99014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,7.159419573,1 +99015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.488843292,1 +99016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.12769864,1 +99017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.746463452,1 +99018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.914545772,1 +99019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.258034963,1 +99022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.954121252,1 +99021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.221554863,1 +99023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.595546012,1 +99024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.433027781,1 +99020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.299704167,1 +99025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.986114426,1 +99026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.514752884,1 +99028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.286375543,1 +99027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.079362166,1 +99031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.025021157,1 +99030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.746484669,1 +99032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.753102893,1 +99033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.727211042,1 +99034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.135470455,1 +99035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.270786787,1 +99029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.302294963,1 +99036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.33771552,1 +99038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.668819577,1 +99040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.074508642,1 +99037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.264518424,1 +99039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.282379563,1 +99043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.229300892,1 +99044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.907571695,1 +99041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.072736811,1 +99042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.828195969,1 +99045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,7.911271948,1 +99047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.218649537,1 +99048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.359291051,1 +99046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.115426234,1 +99049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.820598602,1 +99050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.443458144,1 +99051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.061306675,1 +99053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.567585219,1 +99055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.886484865,1 +99054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.577294333,1 +99052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,7.467309793,1 +99058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.603740806,1 +99059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.168082643,1 +99056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.451820904,1 +99057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.26435944,1 +99062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,1.952931717,1 +99060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.07910751,1 +99063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.437051138,1 +99061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.739144613,1 +99066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.883248567,1 +99065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.418551239,1 +99064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.815648982,1 +99068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.288562003,1 +99069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.776161388,1 +99070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.56322673,1 +99067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.834350547,1 +99072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.388384834,1 +99074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.265449686,1 +99071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.177601216,1 +99073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.604715176,1 +99075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.175486733,1 +99077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.767451811,1 +99078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.24637801,1 +99076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.303233756,1 +99079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.025446487,1 +99080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.293955903,1 +99081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.233658202,1 +99082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.718046345,1 +99083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.732586513,1 +99084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.233218626,1 +99086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.261405057,1 +99087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.874381401,1 +99088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.149089111,1 +99089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.590117626,1 +99090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.454013192,1 +99085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.387547725,1 +99091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.304147138,1 +99092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.640376452,1 +99093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.201487982,1 +99094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.603636572,1 +99095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.668101784,1 +99096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.278724527,1 +99097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.214752712,1 +99098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.667655738,1 +99099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.709281012,1 +99100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.900356442,1 +99102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.620758086,1 +99101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.912412376,1 +99103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.672296715,1 +99104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.331441602,1 +99105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.788399626,1 +99108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.841543722,1 +99107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.055982614,1 +99106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.718901538,1 +99109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.488054988,1 +99111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.430182199,1 +99110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.526732421,1 +99113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.333116431,1 +99114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.285554576,1 +99115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.591106075,1 +99112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.325980043,1 +99117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.802858924,1 +99116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.308001922,1 +99118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.240055284,1 +99119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.184942068,1 +99120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.018235849,1 +99121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.933131612,1 +99122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.256008458,1 +99123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.380001334,1 +99124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.278707861,1 +99125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.054088305,1 +99126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.550689581,1 +99128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.002920443,1 +99129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.878858016,1 +99130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.167246956,1 +99131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.865305273,1 +99132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.36970059,1 +99127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.488612424,1 +99133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.707997264,1 +99135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.914914377,1 +99134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.784083827,1 +99137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.223503767,1 +99136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.258163188,1 +99139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.821791104,1 +99140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.554884401,1 +99141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.183874887,1 +99142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.301599675,1 +99138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.435059151,1 +99143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.065641976,1 +99145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.942872852,1 +99146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.815732068,1 +99147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.6399894,1 +99148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.850247317,1 +99149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.206027911,1 +99144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.510888349,1 +99150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.832429846,1 +99152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.693268565,1 +99151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.031006173,1 +99153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.208542784,1 +99154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.814875905,1 +99156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.106776889,1 +99157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.95200599,1 +99158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.053092533,1 +99159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,7.104622853,1 +99155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.174153718,1 +99160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.042529769,1 +99161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.104039847,1 +99162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.200555038,1 +99163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.043833473,1 +99165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.334864468,1 +99164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.483791793,1 +99167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.069728994,1 +99166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.478348648,1 +99168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.873782443,1 +99169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.076744427,1 +99170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.31568186,1 +99171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.109874814,1 +99172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.63860218,1 +99173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.665000802,1 +99175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.448090766,1 +99176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.825188683,1 +99174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.076823848,1 +99177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,7.23814354,1 +99178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.90837259,1 +99180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.907548752,1 +99179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.129105324,1 +99182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.067761055,1 +99181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.398848989,1 +99183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.878083202,1 +99184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.483470127,1 +99185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.03976156,1 +99186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.611106122,1 +99187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.125192967,1 +99188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.964503895,1 +99189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.804580589,1 +99190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.051373968,1 +99192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.110940444,1 +99193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.459400456,1 +99191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.541969674,1 +99194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.737295319,1 +99195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.789936982,1 +99196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.703384179,1 +99197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.392053277,1 +99198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.661982718,1 +99199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.796502039,1 +99200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.752209197,1 +99201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.85023774,1 +99204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.683668087,1 +99203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.029074596,1 +99205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.100362482,1 +99202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.760315769,1 +99207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.65534472,1 +99206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.477589126,1 +99209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.636246734,1 +99208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.233410481,1 +99211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.512561591,1 +99210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.3137161,1 +99212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.571052319,1 +99213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.679396472,1 +99214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.986988395,1 +99215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.455992452,1 +99217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.430674673,1 +99216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.71006785,1 +99218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.252786389,1 +99219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.527708278,1 +99220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.174098792,1 +99222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.195832558,1 +99221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.259310278,1 +99223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.67414027,1 +99224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.113197752,1 +99225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.575881881,1 +99226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.276325907,1 +99227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.499715056,1 +99228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.419084323,1 +99229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.129396187,1 +99231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.080885007,1 +99233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.396581573,1 +99230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.927347996,1 +99232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.109071553,1 +99234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.872861643,1 +99235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.889060879,1 +99236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.329062734,1 +99238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.850592867,1 +99237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.316729665,1 +99240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,7.198074051,1 +99239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.451799599,1 +99241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.652264702,1 +99242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.419156123,1 +99244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.159611702,1 +99245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.470382462,1 +99243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.118147455,1 +99247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.884231372,1 +99248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.618028793,1 +99246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.012871162,1 +99250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.159315525,1 +99251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.754389328,1 +99249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.596158736,1 +99252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.727447735,1 +99255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,7.688426688,1 +99253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.283637768,1 +99256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.589472951,1 +99254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.625822182,1 +99257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.522787389,1 +99258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,7.085609393,1 +99260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.355121206,1 +99259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.188565313,1 +99262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.842538661,1 +99263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.266615685,1 +99261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.811637404,1 +99265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.503864091,1 +99264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.533737253,1 +99266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.182927389,1 +99267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.597941865,1 +99268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.730988836,1 +99270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.706211613,1 +99269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.635894513,1 +99271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.311715669,1 +99274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.597925863,1 +99272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.275634523,1 +99273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.566590756,1 +99275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.976473048,1 +99276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.288127817,1 +99277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.619158777,1 +99278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.836404476,1 +99280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.175736375,1 +99281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.962557358,1 +99282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.950075943,1 +99279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.516398298,1 +99283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.124746727,1 +99284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.061160789,1 +99285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.705669241,1 +99287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.359682241,1 +99286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.19640375,1 +99288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.886538581,1 +99290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.240485769,1 +99289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.821606471,1 +99291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.039594923,1 +99292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.047186508,1 +99293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.314489504,1 +99294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.913554988,1 +99295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.374730647,1 +99296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.360230715,1 +99297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.094711934,1 +99299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.232106619,1 +99300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.469170028,1 +99301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.237974991,1 +99298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.059883051,1 +99302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.708003955,1 +99303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.143631427,1 +99304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.058146367,1 +99305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.106393484,1 +99306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.569004222,1 +99307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.643279368,1 +99308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.492576123,1 +99310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.211087379,1 +99309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.439116128,1 +99311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.74564214,1 +99312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.643147025,1 +99313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,7.766421931,1 +99315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.180450475,1 +99314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.631513329,1 +99316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.505201218,1 +99317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.281424091,1 +99320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.122586857,1 +99319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.229512697,1 +99321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.61168292,1 +99318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.588536571,1 +99322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.063774534,1 +99324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.122203435,1 +99323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.846287426,1 +99326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.495019347,1 +99325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.514603538,1 +99327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.368069908,1 +99328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.591511318,1 +99329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.555419869,1 +99331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.165256085,1 +99330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.334040718,1 +99332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.154105489,1 +99335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.532515102,1 +99334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.708700041,1 +99333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.97096912,1 +99337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.614068186,1 +99338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.024192712,1 +99339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.521195315,1 +99336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.535931025,1 +99341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.900509418,1 +99342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.048453777,1 +99343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.031687501,1 +99344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.920904943,1 +99345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.302018162,1 +99346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.488900593,1 +99340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.673063901,1 +99348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.815346896,1 +99347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.313645177,1 +99350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.560615267,1 +99349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.739060863,1 +99352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.751576376,1 +99351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.083413959,1 +99353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.445997492,1 +99354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.491564872,1 +99355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.247692888,1 +99356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.337366605,1 +99357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.020073462,1 +99358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.555675454,1 +99360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.525987204,1 +99359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.247956999,1 +99362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.780226841,1 +99364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.515004369,1 +99363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.697377718,1 +99361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.330412951,1 +99366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.417330844,1 +99367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.145500874,1 +99368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.240870548,1 +99365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.464960532,1 +99369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.498651129,1 +99370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.289006674,1 +99371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.338880134,1 +99374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.460689065,1 +99373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.59385779,1 +99375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.99070947,1 +99372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.378618116,1 +99377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.28631842,1 +99376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.541099892,1 +99378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.503220963,1 +99379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.849324201,1 +99380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.514827158,1 +99382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.438862238,1 +99381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.198679469,1 +99383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.541874572,1 +99384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.130749782,1 +99385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.252127026,1 +99386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.270225223,1 +99388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.945728998,1 +99390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.376399276,1 +99389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.590301326,1 +99393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.871952969,1 +99392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.393394795,1 +99387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.29570983,1 +99391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.362418999,1 +99397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.074884001,1 +99394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,7.261181024,1 +99396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.112871528,1 +99395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.297621578,1 +99398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.002467,1 +99399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.367139959,1 +99401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.557557689,1 +99400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.704706513,1 +99402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.538508577,1 +99403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.280239119,1 +99404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.199809797,1 +99405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.178324133,1 +99407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.955375301,1 +99406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.846961202,1 +99409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,8.933423069,1 +99408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.318099687,1 +99410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.172769244,1 +99411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.101053638,1 +99412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.43690218,1 +99413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.667593724,1 +99414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.377147521,1 +99415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.611976455,1 +99416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.569443123,1 +99417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.334239767,1 +99418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.366313376,1 +99419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.910628595,1 +99420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.981666443,1 +99422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.594485215,1 +99424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.64191728,1 +99421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.07466268,1 +99423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.238406556,1 +99425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.404572778,1 +99426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.867963023,1 +99428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.528930464,1 +99427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.336848857,1 +99429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.832079585,1 +99430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,9.262688592,1 +99431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.793408219,1 +99432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,7.229180852,1 +99433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.526512792,1 +99434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.723939323,1 +99435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.966194106,1 +99436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.857284744,1 +99437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.149209301,1 +99438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.505747924,1 +99439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.75555029,1 +99440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.901255297,1 +99441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.635861465,1 +99442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.60098902,1 +99443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.026255755,1 +99444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.493995423,1 +99446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.902929977,1 +99447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.874060495,1 +99449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.966208583,1 +99450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.052632067,1 +99448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.006072954,1 +99445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.341213007,1 +99451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,7.080281608,1 +99452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.912178011,1 +99453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.484243659,1 +99454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.446633505,1 +99455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.917245874,1 +99456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.924008964,1 +99457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.103366453,1 +99458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.798119526,1 +99460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.754587826,1 +99459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.188570684,1 +99462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.794865188,1 +99461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.136196935,1 +99463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.097492615,1 +99464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.094036898,1 +99466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.298126161,1 +99467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.661765207,1 +99468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.602581878,1 +99465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.408250298,1 +99469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.088905943,1 +99472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.029710445,1 +99471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.328172639,1 +99470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.663079635,1 +99473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.306182593,1 +99474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.262078817,1 +99475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.52160015,1 +99476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.088380195,1 +99478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.78482532,1 +99480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.024963086,1 +99477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.730293585,1 +99482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.038641308,1 +99479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.885027564,1 +99483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.713207816,1 +99485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.541553079,1 +99481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.869595123,1 +99486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.261787204,1 +99484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.476478966,1 +99487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.780164024,1 +99488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.495877727,1 +99490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.77064854,1 +99492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.796776421,1 +99493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.375336513,1 +99491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.268835105,1 +99494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.414153821,1 +99489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.005227044,1 +99495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.791490261,1 +99497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.449737053,1 +99498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.823495281,1 +99496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.00101485,1 +99499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.145459278,1 +99501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.126790434,1 +99502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.573824975,1 +99500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.135823198,1 +99503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.246406495,1 +99505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.58398291,1 +99504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.155524749,1 +99506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.562093702,1 +99507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.14854911,1 +99510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.924226988,1 +99508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.261545068,1 +99511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.200279091,1 +99509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.27048617,1 +99512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.213262327,1 +99514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.124755676,1 +99513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.785217476,1 +99515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.13203988,1 +99518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.710991988,1 +99517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.746885474,1 +99516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.954521662,1 +99519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.536361298,1 +99520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.14679858,1 +99521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.742417077,1 +99523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.054913731,1 +99522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.104172709,1 +99525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.791962036,1 +99524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.601504,1 +99527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.828880802,1 +99526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.029711527,1 +99528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.00859009,1 +99529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.327079214,1 +99530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.733777435,1 +99533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.031363084,1 +99532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.752804638,1 +99534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.23385857,1 +99531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.347043881,1 +99535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.086135098,1 +99537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.732769718,1 +99536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.198648808,1 +99538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.778657765,1 +99540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.614158491,1 +99541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.867802422,1 +99539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,8.828011312,1 +99543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.777041263,1 +99544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.98555568,1 +99545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.914272298,1 +99542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.504099668,1 +99546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.055109497,1 +99547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.88836938,1 +99548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.775128671,1 +99549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.66961738,1 +99550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.706556869,1 +99551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.575455047,1 +99552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.376580518,1 +99553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.048944192,1 +99554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,1.984208654,1 +99556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.173421983,1 +99555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.910808778,1 +99557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.775863107,1 +99558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.354597869,1 +99560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.897696943,1 +99562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.483731899,1 +99563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.045963463,1 +99559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.421792938,1 +99561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.348337268,1 +99564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.881935413,1 +99566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.886706308,1 +99565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.064139557,1 +99567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.643079033,1 +99568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.731623156,1 +99570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.09399428,1 +99569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.129645132,1 +99571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.625164479,1 +99572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.878468385,1 +99573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.74640521,1 +99574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.282168668,1 +99576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.833652072,1 +99575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.137595378,1 +99577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.18119531,1 +99578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.640973735,1 +99579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.022932223,1 +99581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.21440485,1 +99580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.473561897,1 +99583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.332667841,1 +99582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.771026672,1 +99585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.587968969,1 +99584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.880162772,1 +99586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.454435666,1 +99587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.294100295,1 +99588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.49531679,1 +99589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,7.882708244,1 +99590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.122406768,1 +99591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.505851286,1 +99593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.490741538,1 +99592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.618188051,1 +99595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.167647423,1 +99594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.381243879,1 +99598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.921275355,1 +99597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.615344788,1 +99599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.495267552,1 +99596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.686863863,1 +99601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.254946845,1 +99600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.656791574,1 +99602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.816876784,1 +99605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.980118825,1 +99604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.281388626,1 +99603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.678793555,1 +99606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.493202517,1 +99609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.313451211,1 +99607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.496654606,1 +99610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.120599129,1 +99611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.312989759,1 +99612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.536733918,1 +99608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.065817719,1 +99615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.809957888,1 +99616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.277782766,1 +99613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,1.136456978,1 +99614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.569722878,1 +99617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.083984976,1 +99618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.4776707,1 +99620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.996346608,1 +99619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.45432799,1 +99621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.589520107,1 +99622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.503743053,1 +99623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.961600557,1 +99624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.397152245,1 +99625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.401721982,1 +99627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.92578832,1 +99628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.344078251,1 +99629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.908290909,1 +99626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.747204894,1 +99632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.2602633,1 +99630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.852354371,1 +99631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.974719492,1 +99633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.480465471,1 +99634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.55889473,1 +99636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.486392347,1 +99637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.286226196,1 +99635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.594793777,1 +99639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.42744372,1 +99638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.493442379,1 +99640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.662741846,1 +99641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.37472455,1 +99642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.917059645,1 +99643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.803629721,1 +99645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.407989108,1 +99647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.930080196,1 +99644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.068378828,1 +99649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.583661867,1 +99648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.511722302,1 +99646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.89811195,1 +99650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.874772303,1 +99653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.103594742,1 +99652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.937302995,1 +99651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.211951067,1 +99654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.062112206,1 +99655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.326820749,1 +99656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.091536115,1 +99657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.362023856,1 +99658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.670523646,1 +99659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.877543276,1 +99660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.148688946,1 +99661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.925156402,1 +99663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.631639099,1 +99665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.085560865,1 +99662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.012946543,1 +99664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.251747608,1 +99667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.974571152,1 +99666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.540771581,1 +99668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.01958999,1 +99669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.559539779,1 +99671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.620352294,1 +99672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.175714648,1 +99670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.283645523,1 +99673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.460513922,1 +99674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.017967177,1 +99675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.005435671,1 +99677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.934655839,1 +99676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.948873852,1 +99678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.318626275,1 +99680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.974626109,1 +99681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.424002355,1 +99679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.581292678,1 +99684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.107205879,1 +99685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.786899991,1 +99682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.697566629,1 +99686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.859131413,1 +99683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.772556314,1 +99688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.349690352,1 +99690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.016793956,1 +99687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.124794532,1 +99689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.643006036,1 +99691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.366347852,1 +99693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.820494059,1 +99692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.441907165,1 +99694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.94283342,1 +99695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.660918866,1 +99696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.365200502,1 +99697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.00710838,1 +99700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.064626505,1 +99701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.671916537,1 +99699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.015116284,1 +99698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.648066868,1 +99703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.602858538,1 +99705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.277528216,1 +99704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.927887302,1 +99702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.410937231,1 +99707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.447610919,1 +99706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.469921941,1 +99708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.233494296,1 +99709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.274631891,1 +99710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.231564177,1 +99711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.16426825,1 +99712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.216158606,1 +99713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.910703468,1 +99715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.731119729,1 +99714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.218650989,1 +99716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.366012151,1 +99718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,7.752223228,1 +99719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.320904549,1 +99717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.947806015,1 +99720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.665462628,1 +99721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.032195757,1 +99723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.507456242,1 +99722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.078606928,1 +99724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.092876848,1 +99725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.670557029,1 +99727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.216361635,1 +99726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.71365194,1 +99728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.942448511,1 +99729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.121855275,1 +99730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.945861188,1 +99733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.599365557,1 +99732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.811711915,1 +99734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.485482081,1 +99736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.722978659,1 +99735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.123758477,1 +99731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.879901624,1 +99738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.297813661,1 +99739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.276654082,1 +99737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.868895304,1 +99740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.114962393,1 +99741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.3704347,1 +99742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.819207484,1 +99743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.856342426,1 +99744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.843278178,1 +99745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.807775706,1 +99747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.570526958,1 +99746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.276217514,1 +99748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.323006506,1 +99749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.910742746,1 +99751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.107366544,1 +99750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.257397041,1 +99754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.821340709,1 +99753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.871298436,1 +99755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.975542591,1 +99752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.662969927,1 +99757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.14943718,1 +99756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,7.312045579,1 +99758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.136036668,1 +99761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.954403802,1 +99760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.379047084,1 +99762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.904759136,1 +99759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.411250786,1 +99764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.484051708,1 +99763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.973918893,1 +99766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.281639821,1 +99767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.314972328,1 +99765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.539351759,1 +99768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.823547795,1 +99769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.256212332,1 +99770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.055852303,1 +99772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.717970911,1 +99771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.993693978,1 +99774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.699637793,1 +99775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.300582371,1 +99776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.686258649,1 +99777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.104087342,1 +99773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.932689465,1 +99779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.780504385,1 +99778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.587129947,1 +99780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.19507166,1 +99781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.32345551,1 +99784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.46326092,1 +99783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.011631678,1 +99782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,7.439381991,1 +99785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.916757869,1 +99786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.337878591,1 +99787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.150084683,1 +99789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.533375583,1 +99788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.436302608,1 +99791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.610707568,1 +99790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.723004821,1 +99793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.028757552,1 +99794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.791262845,1 +99792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.025071673,1 +99795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.012674416,1 +99796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.315637059,1 +99798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.744111752,1 +99800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.346289525,1 +99799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.501792807,1 +99797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.893616571,1 +99803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.329163056,1 +99801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.572775598,1 +99804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.141533242,1 +99802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.822854892,1 +99807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.011226197,1 +99805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.574078395,1 +99808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.72822163,1 +99809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.387366756,1 +99806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.640631134,1 +99810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.574260602,1 +99811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.42216799,1 +99814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.435006666,1 +99815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.599426387,1 +99813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.140068878,1 +99816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.271719943,1 +99812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,7.48532361,1 +99818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.359551567,1 +99819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.43447259,1 +99820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,7.373718865,1 +99817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.577228956,1 +99821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.771146707,1 +99823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.645988702,1 +99824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.16670124,1 +99822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.29165371,1 +99826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.645605145,1 +99827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.553089416,1 +99828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.751988927,1 +99829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,1.973320735,1 +99825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.451967013,1 +99830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.032373979,1 +99831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.717848217,1 +99833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.491267172,1 +99835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.573425212,1 +99834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.57927425,1 +99832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.132706672,1 +99836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.631151398,1 +99838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.990355261,1 +99837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.356581117,1 +99839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.279103501,1 +99840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.965835245,1 +99841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.068360757,1 +99843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.564343906,1 +99842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.939309179,1 +99845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.153432021,1 +99846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.268057169,1 +99847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.232826077,1 +99848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.361638314,1 +99850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.268341733,1 +99844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.738716405,1 +99849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.18503417,1 +99853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.450839981,1 +99851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.501891046,1 +99852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.741834402,1 +99854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.775129253,1 +99855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.465656115,1 +99856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.272506541,1 +99857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,7.624100176,1 +99858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.583390028,1 +99859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.404416963,1 +99860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.807246139,1 +99861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.088135367,1 +99862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.313857162,1 +99864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.431885131,1 +99865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.453969669,1 +99866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.537991635,1 +99867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.835326035,1 +99863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.233535501,1 +99869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.233033658,1 +99868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.536630318,1 +99870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.10617982,1 +99871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.55077529,1 +99873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.776976499,1 +99872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.292539184,1 +99874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.172267597,1 +99876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,7.947962369,1 +99877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.095093762,1 +99878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.278485216,1 +99879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.213019045,1 +99875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.390476084,1 +99880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.138428795,1 +99881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.584877746,1 +99882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.695546472,1 +99884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.416474221,1 +99885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.525582643,1 +99886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.109402738,1 +99887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.027109961,1 +99883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.933062031,1 +99888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.77715958,1 +99889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.418257256,1 +99890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.275217418,1 +99892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.019184251,1 +99893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.319138359,1 +99894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.500075391,1 +99891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.187506189,1 +99895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.386469775,1 +99896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.334978176,1 +99898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.832280037,1 +99897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.222282127,1 +99899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.104243068,1 +99900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.855272201,1 +99902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,1.679243198,1 +99901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.01771878,1 +99903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.942404617,1 +99904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.702464306,1 +99905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.973048319,1 +99907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.706093174,1 +99908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.134738511,1 +99909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.897844409,1 +99910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.916293592,1 +99911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.852217589,1 +99906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.345432953,1 +99912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.640958785,1 +99913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.439004556,1 +99915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.145336754,1 +99914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.119893944,1 +99916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.499917608,1 +99917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.143947331,1 +99918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.073101119,1 +99919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.067616278,1 +99920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.947901751,1 +99921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.904848495,1 +99922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.070817555,1 +99923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.435742277,1 +99924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.772776806,1 +99925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.956911244,1 +99927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.046358893,1 +99928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.998289071,1 +99929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.551555014,1 +99930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.064622701,1 +99926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.505071653,1 +99931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.785207308,1 +99932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.060648281,1 +99933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.452006015,1 +99934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.890484623,1 +99935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.861247852,1 +99936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.500275885,1 +99937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.305433121,1 +99939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.363571507,1 +99938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.143730328,1 +99940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.767347982,1 +99941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.94036292,1 +99942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.733277512,1 +99943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.508104108,1 +99944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,7.123947856,1 +99946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.090601469,1 +99945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.395012241,1 +99948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.718717161,1 +99949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.802414969,1 +99947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.160647482,1 +99951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.455567407,1 +99950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.560306318,1 +99952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.937970614,1 +99954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.947536901,1 +99953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.420361135,1 +99956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.481012526,1 +99955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.81160275,1 +99958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.718279941,1 +99960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.173991201,1 +99957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.730279373,1 +99959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.800630039,1 +99962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.67723563,1 +99963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,8.80086389,1 +99964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,1.145285807,1 +99961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.796424258,1 +99966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.546218451,1 +99967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.673167283,1 +99968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.744787855,1 +99969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.86063495,1 +99970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.977138237,1 +99965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.234575317,1 +99972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,2.87064433,1 +99971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.752682166,1 +99974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.056188599,1 +99973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.73107831,1 +99976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.921721532,1 +99977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.131974956,1 +99975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.599780197,1 +99978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.033267391,1 +99980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.44697018,1 +99981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.303264157,1 +99982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.203394781,1 +99984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.021433049,1 +99985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.594095365,1 +99979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.203781313,1 +99983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.606914984,1 +99986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.572587898,1 +99987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.737421809,1 +99988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.311569881,1 +99989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.696198346,1 +99990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.394915258,1 +99992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.465602268,1 +99991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.682964915,1 +99993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.465260936,1 +99994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.901556858,1 +99996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,5.681577943,1 +99995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.533576896,1 +99997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.504150866,1 +99998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,3.387398116,1 +99999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,6.12771377,1 +100000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,-0.1,10,1,4.567406731,1 +109001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.389685243,1 +109002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.299520658,1 +109003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.80585038,1 +109004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.984804002,1 +109006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.484473235,1 +109005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.976252833,1 +109007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.932667041,1 +109008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,8.472033007,1 +109009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.897735263,1 +109010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.418997128,1 +109011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.774795161,1 +109012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.934357559,1 +109013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.372090248,1 +109015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.112523106,1 +109014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.542490204,1 +109016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.534575682,1 +109017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.399495619,1 +109018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.706636686,1 +109019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.637879104,1 +109020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.522738417,1 +109021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.500240233,1 +109022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.539060005,1 +109023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.722269381,1 +109024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.474320809,1 +109025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.970819212,1 +109026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.37979665,1 +109028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,7.074596382,1 +109029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.723739577,1 +109027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,7.868277793,1 +109030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.571552647,1 +109031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.576973257,1 +109032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.573670979,1 +109034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.809171422,1 +109033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.959673697,1 +109038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.884482882,1 +109037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.637518476,1 +109035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.42125428,1 +109036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.473212736,1 +109039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.632669635,1 +109040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.778566744,1 +109042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.809575057,1 +109041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.210436729,1 +109044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.464343487,1 +109046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.951253401,1 +109043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,7.088496462,1 +109045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.415841044,1 +109047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.783382287,1 +109048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.273509857,1 +109049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.300300511,1 +109050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.52209705,1 +109053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.782398302,1 +109051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.693071464,1 +109054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.003834276,1 +109052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.401582645,1 +109056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.66320144,1 +109057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.574583211,1 +109055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.489776226,1 +109058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.902479866,1 +109059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.092779265,1 +109060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.914129683,1 +109062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.182656778,1 +109061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,8.89898605,1 +109063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.752970569,1 +109064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.941803871,1 +109065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.06090172,1 +109066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.35263208,1 +109067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.878745222,1 +109068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.039057613,1 +109069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,7.324282379,1 +109072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.45011999,1 +109073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.301196983,1 +109070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.835386717,1 +109076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.431717858,1 +109071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.717194213,1 +109075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.542578118,1 +109074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.787170275,1 +109077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.412622763,1 +109078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.34051834,1 +109079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.02369625,1 +109080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.302777474,1 +109082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.347068102,1 +109081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.526378891,1 +109083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.735027764,1 +109084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.016259855,1 +109085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.320714485,1 +109086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.745267797,1 +109088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.418402864,1 +109089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.134568466,1 +109087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.759377053,1 +109090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,7.444569964,1 +109092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.491305688,1 +109091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.112819089,1 +109093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.470694927,1 +109094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.971744973,1 +109096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.450605784,1 +109095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.644997646,1 +109097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.154401677,1 +109098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.211920086,1 +109099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.816881032,1 +109100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.500814186,1 +109101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.441838583,1 +109102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,7.318329149,1 +109103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.37913422,1 +109104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.418502154,1 +109105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.453842909,1 +109107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.612511222,1 +109106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.033871928,1 +109108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.681754746,1 +109109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.963135697,1 +109111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.034961864,1 +109112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.892028305,1 +109110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.419360296,1 +109113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.422211646,1 +109114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.957878581,1 +109116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.252082448,1 +109115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.338586358,1 +109120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.157913153,1 +109119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.311419801,1 +109118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.509538332,1 +109117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.063357666,1 +109121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.983329945,1 +109122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.385712611,1 +109123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,8.099359984,1 +109124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.766580828,1 +109125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.458410071,1 +109126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.300114136,1 +109127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.249318566,1 +109130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.006536415,1 +109128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.2497383,1 +109129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.858574124,1 +109131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.23036096,1 +109132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.609855043,1 +109134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.295046752,1 +109135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.507282284,1 +109136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.045857175,1 +109133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.707736702,1 +109137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.118442176,1 +109138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.831073194,1 +109139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,7.494202003,1 +109140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.735215669,1 +109141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.929059967,1 +109142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.84426737,1 +109144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.531138467,1 +109143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.122275493,1 +109145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.714564618,1 +109147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.47415616,1 +109146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.178443838,1 +109148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.248361413,1 +109149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.2889376,1 +109151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.526261883,1 +109152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.048450861,1 +109153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.694140048,1 +109154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.077559894,1 +109155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.521253678,1 +109156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.616421664,1 +109150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.002250082,1 +109157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.655935998,1 +109158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.694159075,1 +109159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.275354418,1 +109160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.589596931,1 +109162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.258239338,1 +109161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.154037611,1 +109163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.069269533,1 +109164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.613091571,1 +109166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.421339328,1 +109165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.782283055,1 +109168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.473379359,1 +109167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.01846261,1 +109169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.480599509,1 +109170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.678285771,1 +109171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.780366053,1 +109174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.847578684,1 +109173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.357737646,1 +109175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.39371923,1 +109172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.737336598,1 +109176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.909688825,1 +109177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.172111587,1 +109178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.879303143,1 +109179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.104652362,1 +109180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.98763408,1 +109181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.442213203,1 +109182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.886675756,1 +109185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,1.518907941,1 +109184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.368249297,1 +109183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.298936923,1 +109186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.950227682,1 +109187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.268442133,1 +109188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.73761357,1 +109189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.376729927,1 +109190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,7.627943135,1 +109191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.467805083,1 +109192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.630353971,1 +109194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,8.158564108,1 +109195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.874516593,1 +109196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.013567999,1 +109193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.940402775,1 +109197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.229944387,1 +109198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.876601241,1 +109199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.081847521,1 +109201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,7.339393143,1 +109200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.084502646,1 +109202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.815115688,1 +109203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.316260084,1 +109204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.766985994,1 +109205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.529454071,1 +109207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.681971637,1 +109206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.182328613,1 +109208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.947887165,1 +109209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.52948308,1 +109211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.781628397,1 +109210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.92867872,1 +109213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.683849238,1 +109214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.27952251,1 +109212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.218339718,1 +109215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.94655105,1 +109217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.553687705,1 +109219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.015912086,1 +109218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.860650835,1 +109216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.002485113,1 +109220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.893972233,1 +109221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.150210098,1 +109222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.527641995,1 +109223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.959573023,1 +109224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.719955872,1 +109225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.512606398,1 +109226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.3579959,1 +109227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.707488055,1 +109228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.11931927,1 +109229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.110643246,1 +109231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.38969215,1 +109234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.779293641,1 +109232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.371008449,1 +109233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.577638557,1 +109230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.336079667,1 +109236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.92782097,1 +109237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.170726143,1 +109238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.971916109,1 +109235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.857359155,1 +109239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,7.143024385,1 +109240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.932290623,1 +109241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.797592918,1 +109243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.464084336,1 +109244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.665702123,1 +109242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.882743402,1 +109245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.620511641,1 +109248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.106579264,1 +109246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.884748146,1 +109247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.006902458,1 +109249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.791034632,1 +109250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.524829116,1 +109252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.649933387,1 +109251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.382316592,1 +109254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.252186646,1 +109255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.753422951,1 +109256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.135995904,1 +109253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.498891146,1 +109258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.508830653,1 +109257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.128227779,1 +109259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.233783649,1 +109260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.664621158,1 +109261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.306463027,1 +109262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,8.062677512,1 +109263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.130248159,1 +109264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.89594454,1 +109265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.157517397,1 +109266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.029077174,1 +109267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.685625123,1 +109269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.222578898,1 +109268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.194483018,1 +109270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.749163006,1 +109271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.874872089,1 +109273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.55159938,1 +109274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.303542642,1 +109272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.317133419,1 +109276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.48774808,1 +109275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.132503618,1 +109277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.508434159,1 +109278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.961808686,1 +109279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.336626215,1 +109280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.47098411,1 +109281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.227687979,1 +109282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.431483326,1 +109283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.286115355,1 +109284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.441063465,1 +109285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.795707148,1 +109288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.383635459,1 +109286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.632041282,1 +109287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.660075162,1 +109290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.786164631,1 +109289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.262470896,1 +109292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.972998527,1 +109294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.715215192,1 +109291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.329403671,1 +109293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.292802843,1 +109295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.251788147,1 +109296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.412069912,1 +109297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.887879637,1 +109298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.441168219,1 +109299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.745587144,1 +109300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.431417405,1 +109302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.080989171,1 +109301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.775485779,1 +109303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.577542087,1 +109305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.406353749,1 +109306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.819454142,1 +109308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.31730145,1 +109304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.633766719,1 +109307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.409937598,1 +109309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.896492844,1 +109311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.748700703,1 +109312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.650843699,1 +109310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.306393148,1 +109313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.964043202,1 +109314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.319283957,1 +109315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.953413446,1 +109316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.895232052,1 +109317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.740986657,1 +109319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.636261902,1 +109318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.23039797,1 +109320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.685481572,1 +109321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.020051073,1 +109322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.024856328,1 +109323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.623213575,1 +109324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.480292608,1 +109328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.615785119,1 +109325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.458162257,1 +109326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.816107144,1 +109327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.579846979,1 +109330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.026653168,1 +109331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.696182729,1 +109329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.154149111,1 +109332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.131305261,1 +109333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.365741713,1 +109334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.863508996,1 +109335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.088244571,1 +109336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.24619865,1 +109337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.85833714,1 +109338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.391271275,1 +109339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.200823516,1 +109340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.972778115,1 +109341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.976120954,1 +109343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.277024097,1 +109342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.563463911,1 +109346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,8.321995664,1 +109345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.268139236,1 +109344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.338098535,1 +109347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,1.813710911,1 +109349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.552645988,1 +109350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.411690867,1 +109348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.39951386,1 +109351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.619311893,1 +109352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,7.488274559,1 +109354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.564802142,1 +109353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.353896149,1 +109356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.289014565,1 +109357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.496179294,1 +109355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,7.123763398,1 +109358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.783601909,1 +109360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.897848142,1 +109359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.477588281,1 +109361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.61200487,1 +109362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.879534694,1 +109364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.914680708,1 +109365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.402655649,1 +109367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.560449426,1 +109363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.339934203,1 +109366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.215884411,1 +109368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.32855791,1 +109369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.506470183,1 +109370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.2973825,1 +109371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.065933456,1 +109373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.570066738,1 +109374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.549261712,1 +109372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.53085067,1 +109375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.460841215,1 +109377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.228435138,1 +109379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.250224977,1 +109378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.830486311,1 +109380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.155690349,1 +109376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.523748967,1 +109382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.085718907,1 +109381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.962518703,1 +109384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.276339153,1 +109386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.547723791,1 +109387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.111787708,1 +109383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.214415316,1 +109385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.329686323,1 +109388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.433375837,1 +109389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.255058636,1 +109391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.92640415,1 +109390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.922387521,1 +109392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.574410531,1 +109393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.421614538,1 +109394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.848471344,1 +109396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.170574369,1 +109395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.895554814,1 +109398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.100762738,1 +109397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.407169391,1 +109400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.505060652,1 +109402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.040391253,1 +109399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.343231695,1 +109401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.217159601,1 +109404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.359307462,1 +109403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.467082043,1 +109405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.378210942,1 +109406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.473978686,1 +109407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.652827089,1 +109408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.876895239,1 +109409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.218354916,1 +109410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.319837197,1 +109411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.666806144,1 +109412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.432465545,1 +109413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.003325415,1 +109414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.749084117,1 +109416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.906321788,1 +109418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.689598102,1 +109415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.45050306,1 +109419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.36996429,1 +109417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.678113932,1 +109421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.96196214,1 +109420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.684115543,1 +109423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.026296445,1 +109424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.864545752,1 +109422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.110137446,1 +109426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.716809213,1 +109425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.6929522,1 +109427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.358113749,1 +109428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.402908861,1 +109430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.450132667,1 +109429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.85662983,1 +109431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.88267276,1 +109432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.054704419,1 +109433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.372656781,1 +109434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.825892857,1 +109436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.992483574,1 +109437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.945855763,1 +109435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.797981048,1 +109438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.739507111,1 +109440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.039158298,1 +109439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.93715726,1 +109441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.572353716,1 +109442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.710684764,1 +109443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.453228505,1 +109445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.263991143,1 +109444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.508724002,1 +109446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.164154847,1 +109447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.104909879,1 +109448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.733984378,1 +109449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.974289812,1 +109450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.277693733,1 +109451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.147174586,1 +109454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.897627723,1 +109453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.267399784,1 +109452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.371809646,1 +109455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.216701209,1 +109458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.188236001,1 +109457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.71850743,1 +109459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,7.385862153,1 +109456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.658814097,1 +109460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.559314594,1 +109461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.610491183,1 +109462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.020547697,1 +109463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.7625708,1 +109464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.038213106,1 +109467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.873370066,1 +109466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.989052447,1 +109468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.283230765,1 +109465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.512644065,1 +109469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.833491077,1 +109470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.321224518,1 +109472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.602406839,1 +109471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.558975939,1 +109474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.972115992,1 +109476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.88100917,1 +109473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.655363984,1 +109475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.686441096,1 +109477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.772904651,1 +109478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.464224531,1 +109479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.323165749,1 +109480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.452747134,1 +109481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.266359896,1 +109482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.890377527,1 +109483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,7.861579982,1 +109485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.785623125,1 +109486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.471445313,1 +109484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.490654656,1 +109487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.754878896,1 +109488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.773697544,1 +109491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.589195491,1 +109490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.406650201,1 +109489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.386431887,1 +109494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.24843281,1 +109492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.497682269,1 +109495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.471521261,1 +109493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.827536573,1 +109497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,7.476435918,1 +109498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.025831018,1 +109496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.704166079,1 +109499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.597093962,1 +109500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.385173158,1 +109501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.724576591,1 +109502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.468362539,1 +109504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.629703767,1 +109503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.41489067,1 +109505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.767934011,1 +109506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.486007552,1 +109508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.319483261,1 +109507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.711826757,1 +109510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.421722827,1 +109511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.69329566,1 +109509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.441160271,1 +109512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.962701637,1 +109515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.687309783,1 +109516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.064917618,1 +109513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.445843268,1 +109514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.642245887,1 +109517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.359507392,1 +109518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,7.182340322,1 +109519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.781584475,1 +109520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.581647594,1 +109521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,7.670825469,1 +109522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.887095337,1 +109524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.375217055,1 +109523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.67995995,1 +109525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.394972457,1 +109527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.054067722,1 +109528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.902666691,1 +109526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.051468585,1 +109532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.520507714,1 +109530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.73515652,1 +109529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.666678314,1 +109531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.590033579,1 +109534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.353036111,1 +109533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.493814965,1 +109535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.953671693,1 +109536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.255061666,1 +109537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.675343298,1 +109539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.089435237,1 +109538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,7.061001806,1 +109540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.524068274,1 +109541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.132260632,1 +109542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.999086252,1 +109543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.895336968,1 +109544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.838640629,1 +109545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.741820015,1 +109548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.810944868,1 +109546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.288228457,1 +109547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.361468561,1 +109552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.314359128,1 +109551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.74191817,1 +109549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.287457385,1 +109553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.521756812,1 +109554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.024711205,1 +109555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.05182426,1 +109556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.918763431,1 +109557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,9.293802612,1 +109550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.413590628,1 +109558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.426200054,1 +109560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.859014178,1 +109559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.736514689,1 +109562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.109244815,1 +109561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.596091281,1 +109565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.589414216,1 +109563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.32287934,1 +109566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.093013839,1 +109564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.185693706,1 +109568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.326708675,1 +109569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.191676906,1 +109570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.353456463,1 +109567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.544964115,1 +109571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.372833117,1 +109573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.509855,1 +109574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.562421891,1 +109575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.355020543,1 +109576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.166603531,1 +109577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.566491467,1 +109572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.371711133,1 +109578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.479478891,1 +109580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.992512539,1 +109579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.20370491,1 +109583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.30023354,1 +109581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.873876449,1 +109584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.808132676,1 +109582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.140134591,1 +109586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.784118411,1 +109587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.447281102,1 +109588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.256275678,1 +109585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.652061766,1 +109589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.255128259,1 +109590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.209379179,1 +109591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.862438855,1 +109592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.749322621,1 +109593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.580237758,1 +109594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.085584901,1 +109595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.746030344,1 +109596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.89537567,1 +109599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.065497779,1 +109600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.02395022,1 +109598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.178120228,1 +109602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.672620784,1 +109597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.711016729,1 +109603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.789663342,1 +109601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.437200098,1 +109605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.155361589,1 +109606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.043769362,1 +109607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.978503857,1 +109608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.40455715,1 +109609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.347164027,1 +109604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.963583883,1 +109610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.320591738,1 +109612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.580140497,1 +109613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.5666921,1 +109611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,1.857711831,1 +109614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.802661558,1 +109615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.687891403,1 +109618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.24356056,1 +109616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.715157275,1 +109619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.034368849,1 +109617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.031279183,1 +109621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,7.254044157,1 +109620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.228170679,1 +109623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.606935176,1 +109624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.620972092,1 +109622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.569486087,1 +109625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.206665329,1 +109628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.725726049,1 +109627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,8.318145858,1 +109629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.096697264,1 +109626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.235252582,1 +109630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.878707566,1 +109631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.91456469,1 +109632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.066043771,1 +109633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.265010862,1 +109634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.879373089,1 +109636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.741328161,1 +109635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.089313416,1 +109638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.358987585,1 +109639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.753105512,1 +109640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.429834804,1 +109637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.646948049,1 +109643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.326865915,1 +109642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.422794575,1 +109641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.498780299,1 +109645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.220994514,1 +109644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.583108673,1 +109646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.441950232,1 +109647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.097905324,1 +109648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.435258264,1 +109650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.559704062,1 +109649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.703987161,1 +109651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.050833131,1 +109653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.738730731,1 +109654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.167606379,1 +109655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,8.533332494,1 +109656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.250873135,1 +109652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.402143687,1 +109657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.847167782,1 +109658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.634651755,1 +109659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.009831505,1 +109660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.994641231,1 +109661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.860036012,1 +109662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.695241667,1 +109663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.231428926,1 +109664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.424879831,1 +109667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.052292589,1 +109665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.041152159,1 +109666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.637170669,1 +109668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.066046685,1 +109669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.95970019,1 +109670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.408368901,1 +109671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.451099556,1 +109673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.678233832,1 +109674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.901916124,1 +109672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.390291785,1 +109675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.850620994,1 +109676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.359047045,1 +109678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.999463558,1 +109679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,8.239719381,1 +109680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.20515225,1 +109677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.891114362,1 +109681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.159610361,1 +109682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.476618661,1 +109683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.562053561,1 +109684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.400065357,1 +109685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.070139702,1 +109686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.877264183,1 +109687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.412622332,1 +109689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.740081451,1 +109688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.387537516,1 +109691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.556187383,1 +109690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.345358143,1 +109692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.75922052,1 +109693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.414429248,1 +109695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.879405711,1 +109697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.302565964,1 +109696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.207108468,1 +109694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.543639909,1 +109698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.309777007,1 +109700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.458764854,1 +109699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.22633135,1 +109701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,7.33611468,1 +109703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.478372461,1 +109702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.313851667,1 +109704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.923955587,1 +109705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.658539553,1 +109706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.049589097,1 +109707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.995878188,1 +109709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.739056681,1 +109708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.124189751,1 +109710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.076675807,1 +109712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.943114547,1 +109713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.600308823,1 +109711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.11900128,1 +109714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.710446363,1 +109715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.127986713,1 +109716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.853826297,1 +109717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.718479338,1 +109718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.12795259,1 +109719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.936516327,1 +109721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.424210312,1 +109720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.561010293,1 +109722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.368368412,1 +109723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.668073699,1 +109724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.671174175,1 +109725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.107156716,1 +109727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.127182046,1 +109726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.231238253,1 +109728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.027805895,1 +109729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.197789623,1 +109731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.719083092,1 +109732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.558455816,1 +109730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,8.160733264,1 +109733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.366795012,1 +109734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.738685261,1 +109735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.396518108,1 +109736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.809159498,1 +109738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.642624086,1 +109739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.033006199,1 +109737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.561375176,1 +109740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,7.168859261,1 +109741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.786515253,1 +109742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.266095577,1 +109743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.16549768,1 +109744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.235738128,1 +109746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,1.680264926,1 +109745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,7.723274458,1 +109747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.427028007,1 +109748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.699240084,1 +109751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.146351094,1 +109749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.316493165,1 +109750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.609710733,1 +109752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.189776689,1 +109754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,8.204050969,1 +109755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.919453497,1 +109753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.363729244,1 +109756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.575854863,1 +109757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,1.344824143,1 +109758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.862275103,1 +109759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.602496805,1 +109760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.294213602,1 +109762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.101359095,1 +109761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.981508066,1 +109763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.321366155,1 +109764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.113752125,1 +109765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.988401955,1 +109766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.073589542,1 +109767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.184993015,1 +109770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.344967411,1 +109769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.92417037,1 +109768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.193034095,1 +109772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.458094672,1 +109774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.029717808,1 +109773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.169069319,1 +109775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.566636717,1 +109771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.04748558,1 +109776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.243097671,1 +109777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.865289229,1 +109778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.257707955,1 +109780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.456799509,1 +109781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.807297365,1 +109779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.754200066,1 +109782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.088532399,1 +109783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.307648343,1 +109784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.365442775,1 +109785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.022696792,1 +109786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.506852886,1 +109787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.595895619,1 +109789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.700275186,1 +109788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.682463603,1 +109790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.67458971,1 +109791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.895725594,1 +109793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.855829548,1 +109794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.990108514,1 +109795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.762313326,1 +109792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.825499953,1 +109796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.472464069,1 +109797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.9894436,1 +109798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,8.041769969,1 +109800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.867215744,1 +109799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.309165614,1 +109802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.812895563,1 +109803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.745329981,1 +109801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.782750667,1 +109804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.591231783,1 +109806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.633340299,1 +109807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.267087221,1 +109808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.789653916,1 +109805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.221310596,1 +109809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,7.124732487,1 +109810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.990121952,1 +109812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.895385676,1 +109811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,7.223226794,1 +109813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.536219819,1 +109814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.777144084,1 +109816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.565467099,1 +109817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.741298742,1 +109818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.101867183,1 +109819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.318448569,1 +109815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.248821112,1 +109820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.166968185,1 +109822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.597099971,1 +109821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.446404076,1 +109823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.074279617,1 +109824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.807185328,1 +109826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.069927664,1 +109828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.26623766,1 +109825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.221668228,1 +109827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.604767023,1 +109829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.042680261,1 +109830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.88895821,1 +109831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.595382619,1 +109832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.785605431,1 +109833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.459707568,1 +109834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.357520184,1 +109835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.313725676,1 +109837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,9.01965572,1 +109839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.070362654,1 +109836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,7.02973381,1 +109838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.461081038,1 +109841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.729457686,1 +109840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.32767575,1 +109842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.688528031,1 +109843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.513530182,1 +109846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.502363625,1 +109845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.422796923,1 +109847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.440670388,1 +109844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,7.206106125,1 +109848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.028881441,1 +109849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.650098067,1 +109850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.119176664,1 +109851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.703579425,1 +109852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.106135986,1 +109854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.994172226,1 +109853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.052356926,1 +109856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.805118171,1 +109855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.845193653,1 +109858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.030088358,1 +109860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.649901229,1 +109857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.757684604,1 +109859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.964124161,1 +109861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,7.411706564,1 +109863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.131699354,1 +109862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.756638221,1 +109864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,8.240602614,1 +109865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.828893492,1 +109866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.100144544,1 +109867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.426895941,1 +109868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.959408578,1 +109870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.070483865,1 +109869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.182465643,1 +109871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.893806175,1 +109872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.427953585,1 +109874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.223573082,1 +109875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.293926331,1 +109876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.889242128,1 +109873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.485413733,1 +109878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.980988298,1 +109877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.462125117,1 +109880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.528916353,1 +109879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.276170274,1 +109883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.108199389,1 +109882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.63052149,1 +109881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.932102434,1 +109886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.233966374,1 +109884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.663711387,1 +109885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.752833432,1 +109887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.56028802,1 +109889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.447497625,1 +109890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.149965883,1 +109888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.48651585,1 +109891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.99197958,1 +109892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.324839666,1 +109895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.273013175,1 +109896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.018660727,1 +109893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.062043022,1 +109894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.106635926,1 +109897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.386062915,1 +109899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.393490908,1 +109898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.153680416,1 +109900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.918512051,1 +109902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.904324258,1 +109901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.022505746,1 +109903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.396804438,1 +109904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.279930001,1 +109906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.97616071,1 +109907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.860931419,1 +109905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.812664026,1 +109908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.812549267,1 +109909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.194816433,1 +109911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.327545871,1 +109910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.377265192,1 +109913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.809637613,1 +109915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.386229057,1 +109914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.236478289,1 +109912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.876355203,1 +109918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.657346671,1 +109916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.72708867,1 +109917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.660651778,1 +109919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.234519844,1 +109920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.798633376,1 +109921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.188188927,1 +109922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.768518388,1 +109923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.03144708,1 +109924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.57746977,1 +109925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.123850143,1 +109926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.265814255,1 +109927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.756853413,1 +109928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.273674056,1 +109929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.793885979,1 +109930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.134572913,1 +109931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.278081508,1 +109933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.047929282,1 +109934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.657348783,1 +109932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.639547012,1 +109935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.25786892,1 +109938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.213219623,1 +109936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.286570117,1 +109937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.463398596,1 +109940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.41025763,1 +109941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.503268795,1 +109942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.54130574,1 +109939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.077797284,1 +109943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.045308055,1 +109945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.262723102,1 +109944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.699836858,1 +109946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.91759421,1 +109947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.978949717,1 +109948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.445748721,1 +109949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.741227418,1 +109950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.998232738,1 +109952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.936281511,1 +109953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.735249782,1 +109951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.613294984,1 +109955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.428853816,1 +109954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.603363297,1 +109956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.591385681,1 +109957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.586055199,1 +109958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.814003191,1 +109959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.597673003,1 +109960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.355848518,1 +109961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.926185645,1 +109962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.282923148,1 +109964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.429198002,1 +109965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.685396469,1 +109963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.28814334,1 +109966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.178133352,1 +109967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.864453226,1 +109969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.575236156,1 +109968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,7.411998842,1 +109970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.244150331,1 +109971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.861685336,1 +109973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.076921666,1 +109972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.880266927,1 +109974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.619354801,1 +109975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.526905892,1 +109976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.781055655,1 +109977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.979015001,1 +109979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.609582235,1 +109978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.671956202,1 +109980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.06943168,1 +109982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.456964737,1 +109983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.270781821,1 +109981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.476224875,1 +109984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.736771266,1 +109986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.502783062,1 +109985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.562498066,1 +109988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.836086621,1 +109987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.870407204,1 +109991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.66530497,1 +109990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.173655949,1 +109992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.236797333,1 +109989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.52722319,1 +109995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.06356693,1 +109994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.04911221,1 +109993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.245127521,1 +109996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,2.850925924,1 +109997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,3.375920627,1 +109998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,5.664320062,1 +109999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,6.128314759,1 +110000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0,10,1,4.958730356,1 +119001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.710819813,1 +119003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.05120687,1 +119002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.201334861,1 +119005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.457506849,1 +119004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.372472501,1 +119006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.413250165,1 +119007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.199894686,1 +119009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.059608319,1 +119011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.552608206,1 +119008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.52232712,1 +119012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.050574583,1 +119010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.305195056,1 +119013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.739566093,1 +119015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.179324925,1 +119016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.805265196,1 +119017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.131698145,1 +119014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.392198637,1 +119018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.471882328,1 +119019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.91036515,1 +119021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.656769041,1 +119020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.429283781,1 +119024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.483326216,1 +119025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.488301961,1 +119022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.098185248,1 +119023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.828585197,1 +119028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.977516883,1 +119027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.722514787,1 +119029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.109453272,1 +119026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.092419969,1 +119030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.775905565,1 +119031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.337834284,1 +119032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.943626367,1 +119034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.424795687,1 +119035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.959423302,1 +119033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.817696433,1 +119037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.570708963,1 +119036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.161587451,1 +119039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.616172775,1 +119038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.562194456,1 +119040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.66854321,1 +119042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.815148251,1 +119043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.133008921,1 +119044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.121755177,1 +119041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.290921739,1 +119046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.730595119,1 +119047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.144686668,1 +119049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.989938788,1 +119048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.807050382,1 +119045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.578319564,1 +119053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.39910584,1 +119052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.480346378,1 +119050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.798135404,1 +119051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.448602181,1 +119054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.453811378,1 +119056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.616465697,1 +119055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.627684524,1 +119057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.476592037,1 +119058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.032786805,1 +119059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.956693523,1 +119061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.026928098,1 +119063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.897552653,1 +119060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.468702644,1 +119064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.040822314,1 +119062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.432659511,1 +119066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.638937798,1 +119065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.519700172,1 +119068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.764689179,1 +119067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.961673853,1 +119069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.922715345,1 +119071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.528541562,1 +119070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.877873388,1 +119072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.911108927,1 +119073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.819416112,1 +119074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.010206733,1 +119075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.162516386,1 +119078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.622139208,1 +119079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.277962906,1 +119076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.96573281,1 +119077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.283282075,1 +119082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.149178076,1 +119083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.705414699,1 +119081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.279288495,1 +119080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.538116137,1 +119086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.500408165,1 +119085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.256467507,1 +119087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.85911894,1 +119084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.115662631,1 +119088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,1.604795431,1 +119089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.597466153,1 +119090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.228286922,1 +119092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.364211258,1 +119094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.001976731,1 +119091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.070284557,1 +119095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.898449208,1 +119093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.499065434,1 +119097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.540829481,1 +119096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.371322118,1 +119099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.785996429,1 +119100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.352682855,1 +119098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.99593797,1 +119101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.819761177,1 +119102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.145618986,1 +119103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.425140945,1 +119104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.686579428,1 +119105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.05595613,1 +119107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.021926889,1 +119109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.609275573,1 +119108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.749473052,1 +119110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,1.575196217,1 +119106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.797837726,1 +119111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.380349831,1 +119113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.670820275,1 +119114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.060611995,1 +119112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.115815369,1 +119115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.956036579,1 +119116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.903965995,1 +119117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.036823647,1 +119119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.98261069,1 +119118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.484754917,1 +119121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.894747551,1 +119122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.450813148,1 +119120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.986154493,1 +119123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,1.727908235,1 +119124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.411332123,1 +119126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.351295031,1 +119125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.718847557,1 +119128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.049936584,1 +119130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.167398966,1 +119129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.790759115,1 +119127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.524486864,1 +119131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.931906791,1 +119133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.282108004,1 +119132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.88399907,1 +119134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.699584981,1 +119135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.548843256,1 +119136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.030458829,1 +119137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.129905806,1 +119138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.931300408,1 +119139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.903004046,1 +119141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.286245518,1 +119142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.820340064,1 +119140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.613120633,1 +119143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.523514442,1 +119144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.414787429,1 +119145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.171474623,1 +119146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.927053772,1 +119147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.945218914,1 +119149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.186502747,1 +119150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.87757813,1 +119148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.054967472,1 +119151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.425936916,1 +119152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.555882091,1 +119153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.033435795,1 +119154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.223151741,1 +119155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.944249262,1 +119157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.597868863,1 +119158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.067895607,1 +119156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.196117206,1 +119159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.105302527,1 +119160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.725246567,1 +119162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.895268351,1 +119163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.767844665,1 +119164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.106441689,1 +119161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.195234298,1 +119165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.450298992,1 +119166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.076936302,1 +119167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.838786835,1 +119169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.11995171,1 +119170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.149573011,1 +119171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.913280722,1 +119168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.857489182,1 +119173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.462060216,1 +119172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.082174565,1 +119174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.631704413,1 +119175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.187343155,1 +119176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.229470818,1 +119177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.462008756,1 +119178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.324546373,1 +119180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.903578664,1 +119181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.850237125,1 +119182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.817835497,1 +119179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.547109058,1 +119183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.426700126,1 +119184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.920825019,1 +119185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.962992682,1 +119187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.411436356,1 +119186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.804729283,1 +119188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.905853307,1 +119189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.12573756,1 +119190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.53489667,1 +119191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.092650049,1 +119193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.645626899,1 +119192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.236288858,1 +119194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.612282617,1 +119196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.431332784,1 +119195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.152155978,1 +119197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.373767441,1 +119198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.447902469,1 +119199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.061283889,1 +119201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.627680258,1 +119202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.443319159,1 +119204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.571516119,1 +119203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.29031121,1 +119200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.043032198,1 +119205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.325881687,1 +119206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.11445128,1 +119207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.510313394,1 +119208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.670354569,1 +119209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.276246186,1 +119210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.422879985,1 +119211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.039884942,1 +119212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.145980401,1 +119213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.07584045,1 +119214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.111511678,1 +119215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.788186677,1 +119216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.346660046,1 +119219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.301994254,1 +119217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.408195018,1 +119218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.19908171,1 +119220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.387977352,1 +119221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.934713389,1 +119222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.020544893,1 +119223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.658833622,1 +119224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.85047831,1 +119225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.412469531,1 +119226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.715522213,1 +119227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.13059317,1 +119229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.226605042,1 +119228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.315347083,1 +119230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.348379159,1 +119231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.85315414,1 +119233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.000363327,1 +119232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.343759934,1 +119234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.949424241,1 +119235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.751996466,1 +119237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.834644949,1 +119238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.645061419,1 +119239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.345117861,1 +119240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.195836405,1 +119241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.96352704,1 +119236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.335097469,1 +119242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.716435541,1 +119243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.670671792,1 +119244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.919721642,1 +119246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.590950811,1 +119247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.688517674,1 +119245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.475881355,1 +119251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.32786646,1 +119248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.607887673,1 +119249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.232079707,1 +119250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,7.299409687,1 +119252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.707386243,1 +119254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.308945911,1 +119253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.735371168,1 +119255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.617327179,1 +119257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.753610918,1 +119258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.58120431,1 +119259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.759427961,1 +119261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.210958452,1 +119260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.66466201,1 +119262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.889573498,1 +119256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.324329252,1 +119265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.718661042,1 +119263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.835864361,1 +119264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.243415502,1 +119266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.568393964,1 +119268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.865240562,1 +119269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.64854792,1 +119267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.964067963,1 +119270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,7.056908356,1 +119271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.173420739,1 +119272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.61716103,1 +119273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.18399101,1 +119275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.243663999,1 +119276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.256319255,1 +119277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.540147829,1 +119274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.093550084,1 +119279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.207635383,1 +119278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.739128063,1 +119280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.021686348,1 +119281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.714341886,1 +119283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.8609058,1 +119282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.754252716,1 +119284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.831056642,1 +119285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.176642815,1 +119287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.1272259,1 +119286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.318438833,1 +119288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.434780896,1 +119289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.926254815,1 +119290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.019901277,1 +119291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.748210609,1 +119292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.048182348,1 +119295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.021247071,1 +119294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.619660133,1 +119296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.50772107,1 +119293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.596053115,1 +119298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.56201205,1 +119299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.543779582,1 +119297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.562111451,1 +119301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.750552204,1 +119300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.782786018,1 +119302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.081646339,1 +119303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.627965196,1 +119304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.948370821,1 +119305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.032221874,1 +119306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.321054888,1 +119307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.260511711,1 +119308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.824111552,1 +119309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.348059568,1 +119311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.975020244,1 +119310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.353679456,1 +119312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.202537071,1 +119313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.503392163,1 +119314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.464678106,1 +119315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.799479667,1 +119316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.892612561,1 +119318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.35172288,1 +119319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.737767829,1 +119317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.032613692,1 +119320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.192644054,1 +119321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.73593192,1 +119322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.736013586,1 +119323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.839634956,1 +119324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.827175744,1 +119327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.774893858,1 +119326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.691406356,1 +119325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.806181474,1 +119328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.572610323,1 +119329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.673442211,1 +119330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.678740917,1 +119331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.274962128,1 +119332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.899700447,1 +119333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.895718415,1 +119335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.406423296,1 +119334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.810129236,1 +119336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.720358763,1 +119337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.936647577,1 +119339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.487184241,1 +119340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.987418871,1 +119338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.4375515,1 +119343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.582874911,1 +119342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.893386003,1 +119345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.040691116,1 +119346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.087573021,1 +119344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.465229281,1 +119341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.069982177,1 +119347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.907031041,1 +119348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.705527854,1 +119351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.324006518,1 +119350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.35457422,1 +119352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.254120411,1 +119349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.291561615,1 +119353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.077758954,1 +119354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.166589861,1 +119356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,0.979300412,1 +119355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.349020043,1 +119358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.960127379,1 +119357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,1.883235892,1 +119360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.283488943,1 +119359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.256875861,1 +119362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.509022412,1 +119364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.554978943,1 +119363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.874032519,1 +119365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.834004515,1 +119361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.661124032,1 +119367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.410931078,1 +119368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.88209697,1 +119370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.236181033,1 +119369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.354549684,1 +119366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.073045432,1 +119373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.830424588,1 +119371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.392752181,1 +119374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.086156174,1 +119372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.202752048,1 +119376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.549231824,1 +119377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.522868441,1 +119378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.738559351,1 +119379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.78448914,1 +119380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.708911727,1 +119375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.273957128,1 +119381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.682743245,1 +119382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.115380201,1 +119385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.329926183,1 +119384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.375862867,1 +119383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.796494337,1 +119388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.104385694,1 +119386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.669145537,1 +119389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.317322113,1 +119387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.288892156,1 +119390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.786708955,1 +119391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.360918062,1 +119392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.264398203,1 +119393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.038737384,1 +119395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.11337792,1 +119396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.365188089,1 +119397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.828619895,1 +119394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.134506609,1 +119398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.744749005,1 +119400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.298384297,1 +119401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.299740847,1 +119399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.030330231,1 +119402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.188684259,1 +119403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.958601576,1 +119405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.816342958,1 +119404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.439899551,1 +119406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.343310754,1 +119407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,7.298697752,1 +119408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.375578866,1 +119409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.248053071,1 +119410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.255584059,1 +119411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.353898773,1 +119412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.943261944,1 +119414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.274315618,1 +119415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.890936555,1 +119416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.75362955,1 +119413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.569840354,1 +119417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.674319274,1 +119418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.974342646,1 +119419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.585253525,1 +119420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.938355445,1 +119421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.880761735,1 +119422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.693529495,1 +119423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.846430839,1 +119424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.707183646,1 +119425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.311974769,1 +119426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.070416747,1 +119427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.673891448,1 +119429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.479120896,1 +119430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.912221253,1 +119431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.889576743,1 +119428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.083574139,1 +119432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.715657542,1 +119433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.120809273,1 +119434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.903287473,1 +119435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.891625664,1 +119436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.584552926,1 +119438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.103995909,1 +119437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.394959575,1 +119440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.826177738,1 +119439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.497812152,1 +119441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.643624042,1 +119442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.689679319,1 +119443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.969561614,1 +119446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.009943564,1 +119444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.797240361,1 +119447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,7.372407751,1 +119445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.779531188,1 +119448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.264118857,1 +119449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.236638902,1 +119450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.66931422,1 +119451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.59314876,1 +119452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.231226584,1 +119454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.659164592,1 +119453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.173110978,1 +119455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.143763787,1 +119456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.079571646,1 +119457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.139586567,1 +119459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.167019826,1 +119460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.2305666,1 +119458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.170667063,1 +119461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.686976514,1 +119462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.506734982,1 +119463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.280807528,1 +119464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.42647127,1 +119465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.341029435,1 +119466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.65403914,1 +119467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,8.58567971,1 +119469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.012192834,1 +119471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.385398656,1 +119470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.881266971,1 +119472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.25638276,1 +119474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.375119472,1 +119473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.631697024,1 +119468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.993587105,1 +119475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.666363652,1 +119476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.420018272,1 +119478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.738021637,1 +119477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.623518904,1 +119481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.631007317,1 +119479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.544588295,1 +119480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.787902897,1 +119482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.769616902,1 +119484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.676499583,1 +119485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.628349723,1 +119486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.915790029,1 +119487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.712874951,1 +119488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.709561871,1 +119489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.805690364,1 +119490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.263269072,1 +119483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.576463257,1 +119491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.761942425,1 +119492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.021720782,1 +119494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.857354779,1 +119493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.037474425,1 +119495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.045381356,1 +119496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.801308483,1 +119497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.87870563,1 +119498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.969909897,1 +119499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.606854802,1 +119500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.542787025,1 +119502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.883344723,1 +119501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.798465692,1 +119503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.111828324,1 +119504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.488787093,1 +119505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.037718355,1 +119507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.451884795,1 +119508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.091847026,1 +119506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.790483504,1 +119509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.881739552,1 +119511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.546948627,1 +119510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.078809756,1 +119512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.883892172,1 +119513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.715736141,1 +119514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.399031557,1 +119515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.108528611,1 +119516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.376912188,1 +119517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.428153153,1 +119519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.576861323,1 +119518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.208510044,1 +119520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.188434433,1 +119521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.28177335,1 +119522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.046718702,1 +119523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.817352569,1 +119525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.562466476,1 +119524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.467238936,1 +119526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.472588221,1 +119527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.881030711,1 +119528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.920730902,1 +119531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.072811735,1 +119529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.854530568,1 +119530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.885079842,1 +119532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.867637824,1 +119533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.425014478,1 +119535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.315000981,1 +119534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.778854199,1 +119536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.634580706,1 +119537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.012805204,1 +119538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.750138586,1 +119539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.291403759,1 +119540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.281322688,1 +119541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.14807611,1 +119544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.584067857,1 +119545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.23748641,1 +119542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.362411192,1 +119546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.229356368,1 +119543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.196964711,1 +119547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.507378911,1 +119548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.61825242,1 +119549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.174676301,1 +119551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.190837504,1 +119552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.544817017,1 +119550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.968175134,1 +119555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.67979193,1 +119553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.257088967,1 +119554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,7.377449314,1 +119556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.439633046,1 +119557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.309920629,1 +119558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.171474771,1 +119559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.759316578,1 +119562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.565834382,1 +119561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.799754023,1 +119560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.666485212,1 +119563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.900036591,1 +119564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.704984464,1 +119565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.140535568,1 +119567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.386946263,1 +119566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.228316791,1 +119569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.017724881,1 +119568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.444444322,1 +119571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.555176927,1 +119572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.956883891,1 +119570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.884086122,1 +119573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.00366238,1 +119574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.582126339,1 +119575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.510186509,1 +119576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.687843632,1 +119577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.490958377,1 +119579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.998293547,1 +119580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.631205298,1 +119581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.529692721,1 +119582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.354275938,1 +119583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.12972087,1 +119578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.521414495,1 +119584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.621249025,1 +119586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.207139509,1 +119585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.168753993,1 +119587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.931931386,1 +119588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.873200972,1 +119589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.973480864,1 +119590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.701400639,1 +119591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.153063192,1 +119592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.458421291,1 +119593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.655511471,1 +119594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.475979221,1 +119595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.159268203,1 +119596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.195658261,1 +119597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.142578091,1 +119598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.572058169,1 +119600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,7.332469441,1 +119602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.766013917,1 +119601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.435190732,1 +119599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.037961855,1 +119603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.835536229,1 +119605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.670078075,1 +119607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.372346239,1 +119606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.402154675,1 +119608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.903064773,1 +119604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.944319288,1 +119609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.221836876,1 +119610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.856931753,1 +119611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.433516408,1 +119613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.784433182,1 +119612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.511534895,1 +119614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.021705925,1 +119615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.987556044,1 +119617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.005128779,1 +119619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.901054823,1 +119616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.11180751,1 +119620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.362961634,1 +119618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.571081909,1 +119621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.604420339,1 +119622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.838082067,1 +119624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.640262195,1 +119625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.344276177,1 +119626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.021088724,1 +119623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.093413395,1 +119628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.371941662,1 +119627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.470755122,1 +119629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.676587107,1 +119630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,1.298286588,1 +119633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.726072794,1 +119631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.098842928,1 +119634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.124327647,1 +119632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.776327958,1 +119635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,1.25773707,1 +119636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.355959019,1 +119637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.683894175,1 +119638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.224591174,1 +119639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.798228466,1 +119640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.785529404,1 +119642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.432058423,1 +119644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.866720758,1 +119643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.258179496,1 +119641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.436788493,1 +119645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.563246056,1 +119646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.298944808,1 +119648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.783258817,1 +119647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.582624902,1 +119649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.173330163,1 +119651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.037577008,1 +119650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.884165496,1 +119652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.120560188,1 +119653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.757155289,1 +119654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.672722006,1 +119655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.131018545,1 +119656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.610794133,1 +119659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.797724331,1 +119657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.41130286,1 +119660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,7.414220929,1 +119662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.215168617,1 +119658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.65116698,1 +119661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.646957658,1 +119663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.024405001,1 +119664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.539126403,1 +119665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.762261913,1 +119666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.615745146,1 +119667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.197879088,1 +119668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.76274785,1 +119669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.329613083,1 +119670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.791122751,1 +119671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.519168915,1 +119672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.612909406,1 +119673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.536188742,1 +119674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.324583355,1 +119675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.742066798,1 +119677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,7.117952383,1 +119676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.311700301,1 +119679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.121542974,1 +119680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.429037335,1 +119681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.674809684,1 +119682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.52892611,1 +119678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.843061561,1 +119683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.81803414,1 +119684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.21123351,1 +119685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.019920619,1 +119687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.366746265,1 +119688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.784933154,1 +119689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.63083508,1 +119686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.4315356,1 +119690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.813725431,1 +119693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.164598594,1 +119692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.039090403,1 +119691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,1.997451127,1 +119694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.095070007,1 +119696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.125867527,1 +119695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.975213855,1 +119697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.184728992,1 +119698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.520371473,1 +119699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.226301626,1 +119701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.377925943,1 +119702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.232159285,1 +119703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.653730999,1 +119704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.826281533,1 +119705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,1.249178819,1 +119700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.803330437,1 +119707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.764726776,1 +119706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.83330558,1 +119708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.64182077,1 +119709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.511569944,1 +119711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.417190797,1 +119710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.350400341,1 +119712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.986948983,1 +119713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.878416302,1 +119714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.731633554,1 +119715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.881100836,1 +119716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.54540501,1 +119718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.408549747,1 +119719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.808545015,1 +119720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.740887305,1 +119717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.162050734,1 +119723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.217096327,1 +119722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.706165838,1 +119721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.605160418,1 +119724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,1.604489313,1 +119725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.31805949,1 +119726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.124711857,1 +119727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.657366084,1 +119728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.8249429,1 +119729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.667324018,1 +119730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.081935668,1 +119731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.863487537,1 +119732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.210944297,1 +119734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.713661737,1 +119733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.991390078,1 +119735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.451703346,1 +119737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.960737639,1 +119739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.078381599,1 +119736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,7.215509841,1 +119738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.243213062,1 +119740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.63825865,1 +119741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.797779831,1 +119742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.183540035,1 +119744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.361896934,1 +119743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.306484809,1 +119745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.161004359,1 +119746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.716114104,1 +119747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.639604575,1 +119749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,9.154104556,1 +119748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.884072395,1 +119750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.278020368,1 +119751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.882409906,1 +119752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.268702612,1 +119753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.867676699,1 +119754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.348195293,1 +119757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.11448254,1 +119758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.160681655,1 +119756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.291785997,1 +119755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.089592835,1 +119759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.442924419,1 +119760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.616415723,1 +119761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.314468967,1 +119763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.418613252,1 +119762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.372197185,1 +119765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,7.359343448,1 +119764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.176557714,1 +119766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.115212504,1 +119768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.616448892,1 +119767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.843408052,1 +119769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.868394372,1 +119770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.275090101,1 +119772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.411789356,1 +119773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.962870554,1 +119774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.188174249,1 +119771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.788224576,1 +119776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.437767786,1 +119777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.846721666,1 +119778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.210378273,1 +119779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.362835678,1 +119780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.676141151,1 +119775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.279342683,1 +119781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.713278569,1 +119783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.834405898,1 +119784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.386733839,1 +119785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.525184762,1 +119782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.07316577,1 +119788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.892407212,1 +119789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.977033832,1 +119790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.780958391,1 +119787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.394264597,1 +119786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.366057914,1 +119791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.067213296,1 +119794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.289398235,1 +119793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.475397564,1 +119795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.816486503,1 +119796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.25463575,1 +119797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.714339095,1 +119792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.146847277,1 +119798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.934388909,1 +119799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.68257558,1 +119800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.734695647,1 +119801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.054688029,1 +119802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.06865218,1 +119805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.214413208,1 +119804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.880812308,1 +119807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.082095351,1 +119806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.858551287,1 +119808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.812217244,1 +119803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.929981651,1 +119811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.375937907,1 +119810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.727421288,1 +119812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.040802724,1 +119809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.239959155,1 +119813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.784670991,1 +119815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.215818691,1 +119814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.445446516,1 +119816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.213649735,1 +119817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.637854755,1 +119818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.86660247,1 +119819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.263439763,1 +119820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.445670651,1 +119824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.07267901,1 +119822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.066000986,1 +119821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.926147889,1 +119823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.300180546,1 +119825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.616231921,1 +119827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.666487912,1 +119826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.184522981,1 +119828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.967675747,1 +119830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.149672277,1 +119831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.144720798,1 +119829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.418472106,1 +119833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.904765072,1 +119834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.563685142,1 +119835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.272147943,1 +119837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.68852619,1 +119832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,1.846020654,1 +119838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.587661715,1 +119841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.809658869,1 +119836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.020937168,1 +119840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.249608425,1 +119839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.076621782,1 +119843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.133298928,1 +119844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.798708432,1 +119845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.330813595,1 +119842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,7.181936662,1 +119846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.587185174,1 +119847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.449588477,1 +119848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.263606895,1 +119849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.213668728,1 +119850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.751721201,1 +119852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.228075064,1 +119853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.081646026,1 +119856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.092031391,1 +119851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.551992653,1 +119854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.537778509,1 +119855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.421198995,1 +119858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,8.137046852,1 +119859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.774081598,1 +119857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.61980049,1 +119860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.851839321,1 +119861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.265812273,1 +119862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.347345382,1 +119863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.438030153,1 +119864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.422443681,1 +119866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.853678927,1 +119867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.912283676,1 +119868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.551593351,1 +119870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.105739405,1 +119869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.676352809,1 +119865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.508876564,1 +119872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.436575957,1 +119871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.511696391,1 +119873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.072146912,1 +119874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.925179723,1 +119876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.465242388,1 +119877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.512438501,1 +119875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.394880011,1 +119878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.904092354,1 +119879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.668743645,1 +119881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.190164516,1 +119880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.581542805,1 +119882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.416592891,1 +119883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.089670639,1 +119885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.881649458,1 +119887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.172673344,1 +119888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.131905471,1 +119884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.625929375,1 +119886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.303514234,1 +119891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.62552812,1 +119889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.154180138,1 +119890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.313505729,1 +119892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.516443594,1 +119894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.04725386,1 +119893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.045912881,1 +119895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.820311338,1 +119896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.655306641,1 +119897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.607712346,1 +119898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.970922648,1 +119901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.068693588,1 +119899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.19749901,1 +119900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.753456989,1 +119902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.878319742,1 +119904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.713488346,1 +119903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.560368382,1 +119906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.364586064,1 +119905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.33145236,1 +119907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.48259079,1 +119908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.555995608,1 +119911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.6150447,1 +119909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,7.027900863,1 +119910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.695480564,1 +119912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,7.886474665,1 +119914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.123407193,1 +119913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.271107323,1 +119915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.865482861,1 +119916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.233526333,1 +119917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.914743402,1 +119918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,1.862565477,1 +119919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.938642475,1 +119922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.295891679,1 +119920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.22038426,1 +119921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,7.544825274,1 +119923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.265920617,1 +119924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.88655533,1 +119925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.318251946,1 +119926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.023975443,1 +119927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.309850564,1 +119928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.534423264,1 +119929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.334768026,1 +119930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.712349679,1 +119931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.570369206,1 +119932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.194883241,1 +119933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.614893601,1 +119934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.549972011,1 +119935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.183743296,1 +119937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.602426627,1 +119936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.782857912,1 +119938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.740047512,1 +119940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.785211395,1 +119941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.098287948,1 +119939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.310817984,1 +119942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.970322219,1 +119943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.563403426,1 +119944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.259773549,1 +119946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.600638646,1 +119947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.154543066,1 +119949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.38516755,1 +119948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.46660026,1 +119945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.478640373,1 +119951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.304740199,1 +119952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.319213337,1 +119950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.210044681,1 +119953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.392991946,1 +119955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.361467129,1 +119956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.118362294,1 +119954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.396955504,1 +119957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.705467062,1 +119958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.983669238,1 +119961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.498857767,1 +119960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,2.033753158,1 +119962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.520150755,1 +119963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.984971108,1 +119959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.29555923,1 +119964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.676149168,1 +119966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.164365764,1 +119965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,7.148897973,1 +119968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.164637702,1 +119967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.68403172,1 +119970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.619506437,1 +119969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.489929676,1 +119972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.122594165,1 +119971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.188436213,1 +119973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.811366176,1 +119975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.3266775,1 +119976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,7.073154481,1 +119974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.022131918,1 +119977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.229278129,1 +119979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.063704843,1 +119981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.000067331,1 +119980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.714693811,1 +119978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.24655537,1 +119982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.755731473,1 +119984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.082667297,1 +119983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.697336967,1 +119985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.322213074,1 +119988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,1.750084787,1 +119986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.387442208,1 +119989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.137598786,1 +119990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.087054142,1 +119987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,4.710586824,1 +119991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.068761945,1 +119992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.189591179,1 +119993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.57682852,1 +119994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.433788946,1 +119995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,6.378433411,1 +119998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,7.452285196,1 +119999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.225568272,1 +119996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.379497906,1 +119997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,3.320138689,1 +120000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.1,10,1,5.209378012,1 +129003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.679588476,1 +129002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.769251202,1 +129001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.173668672,1 +129004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.290022017,1 +129005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.029289011,1 +129006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.026604416,1 +129008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.167729909,1 +129009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.015301585,1 +129007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.708361735,1 +129010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.597745397,1 +129011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.682500232,1 +129014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.195615216,1 +129012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.647431955,1 +129015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.395859988,1 +129013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.716526299,1 +129017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.242117333,1 +129016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.213596429,1 +129018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.437545202,1 +129019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.675987502,1 +129020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.097292525,1 +129021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.415144785,1 +129022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.87660481,1 +129024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.455265431,1 +129025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.678731276,1 +129026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.231217609,1 +129027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.561667547,1 +129023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.264335437,1 +129028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.480391696,1 +129029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.959659639,1 +129030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.386242141,1 +129031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.627443568,1 +129033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.896546464,1 +129032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.735607678,1 +129034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.705040186,1 +129035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.553209002,1 +129036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.753146808,1 +129037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.114413447,1 +129038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.039680923,1 +129040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.074991508,1 +129039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.496359952,1 +129041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.719994787,1 +129042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.395087447,1 +129045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.117482743,1 +129046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.030287284,1 +129043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.135580081,1 +129044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.350187366,1 +129048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.409915098,1 +129049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.661620069,1 +129050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.673404269,1 +129051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.444277411,1 +129052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.601432161,1 +129047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.435158934,1 +129053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,1.870364526,1 +129054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.209513556,1 +129055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.469458997,1 +129056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.832542612,1 +129057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.263589969,1 +129058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.058594308,1 +129060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.422401663,1 +129059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.916754355,1 +129061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.196377729,1 +129063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.689992971,1 +129062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.425791969,1 +129064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.901250894,1 +129067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.675760015,1 +129068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.897848593,1 +129065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.696181478,1 +129069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.882832845,1 +129070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.130795126,1 +129066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.771379061,1 +129071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.860126751,1 +129074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.162137542,1 +129072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.738822239,1 +129073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.874780127,1 +129075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.054752634,1 +129076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.550213405,1 +129077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.268507275,1 +129078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.388096883,1 +129079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.422189922,1 +129080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.399894351,1 +129081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.137721341,1 +129083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.017535301,1 +129082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.521678756,1 +129085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.522143572,1 +129086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.185809179,1 +129084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.06840421,1 +129087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.979642208,1 +129088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.449646164,1 +129089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.29190523,1 +129090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.360379097,1 +129091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.937436654,1 +129092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.501095567,1 +129094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.356775069,1 +129093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.810926546,1 +129095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.914842487,1 +129096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.168453934,1 +129097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.615784659,1 +129098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.653072504,1 +129100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.242265396,1 +129099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.047028154,1 +129102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.505242315,1 +129101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.49652022,1 +129104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.817653453,1 +129103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.150800265,1 +129105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.749155963,1 +129106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.661536406,1 +129107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.679126615,1 +129108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.779110833,1 +129109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.622031638,1 +129110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.621187016,1 +129112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.529828256,1 +129111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.03166205,1 +129113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.365191524,1 +129114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.798400689,1 +129115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.415830759,1 +129117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.373339616,1 +129116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.620381794,1 +129118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.116336598,1 +129121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.331047706,1 +129120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.7037774,1 +129119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.34575288,1 +129122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.295160138,1 +129124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.147434691,1 +129125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.29545614,1 +129126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.987478734,1 +129127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.734029391,1 +129128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.452157057,1 +129129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.645943493,1 +129130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.919537024,1 +129131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.419742319,1 +129123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.473448479,1 +129133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.314223557,1 +129134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.798843687,1 +129135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.798763575,1 +129132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.460185961,1 +129137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.291578701,1 +129138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.96406526,1 +129136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.49900275,1 +129139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.989081108,1 +129140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.472289548,1 +129142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.631097944,1 +129143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.626397818,1 +129144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.87618489,1 +129145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.481120798,1 +129146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,8.128529028,1 +129147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.373082451,1 +129141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.782357947,1 +129148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.008336425,1 +129149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.138757291,1 +129151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.206724172,1 +129150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.043837934,1 +129152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.677530496,1 +129153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.530463312,1 +129154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.586070297,1 +129155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.048535327,1 +129156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.91181818,1 +129157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.56243576,1 +129159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.065116811,1 +129158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.944065908,1 +129160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.101743057,1 +129161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.91465337,1 +129163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.840628453,1 +129165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.59750688,1 +129164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.193003972,1 +129162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.565707142,1 +129168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.444031724,1 +129166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.944310735,1 +129167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.982140368,1 +129169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.534596083,1 +129170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.063667148,1 +129171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.86661031,1 +129172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.555727251,1 +129173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.431024848,1 +129174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.85832379,1 +129175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.165563521,1 +129176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.099168118,1 +129179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.731630562,1 +129178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.558734862,1 +129180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.955997819,1 +129177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.857884275,1 +129182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.560708488,1 +129181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.553571111,1 +129183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.647526367,1 +129184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.695638422,1 +129186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.650687664,1 +129185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.513677717,1 +129187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.412561197,1 +129188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.504112824,1 +129189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.858119426,1 +129190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.459247418,1 +129191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.292648738,1 +129193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.416838828,1 +129192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.092391843,1 +129195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.360218627,1 +129194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.676194836,1 +129198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.837350903,1 +129197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.779523608,1 +129196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.290505183,1 +129199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.781083747,1 +129202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.400298082,1 +129200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.531708813,1 +129201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.60376359,1 +129203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.659933491,1 +129204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.501315979,1 +129205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.685693859,1 +129207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.07348872,1 +129209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.28174198,1 +129208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.546482476,1 +129206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.239895158,1 +129210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.044884136,1 +129213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,9.166557007,1 +129212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.412625784,1 +129211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.633657477,1 +129214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.874488484,1 +129216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.530481514,1 +129217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.596507408,1 +129215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.27317822,1 +129218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.910750985,1 +129219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.568868128,1 +129220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.664654024,1 +129221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.032750705,1 +129222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.516312713,1 +129223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.670946742,1 +129224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.308593771,1 +129225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.3000681,1 +129226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.357812374,1 +129227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.363216795,1 +129228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.788082717,1 +129230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.185623939,1 +129231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,1.85422274,1 +129232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.302902185,1 +129233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.920418089,1 +129234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.339251499,1 +129235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.729217056,1 +129229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.111794648,1 +129236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.539229435,1 +129237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.931236573,1 +129238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.566569512,1 +129239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.55315581,1 +129240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.332024711,1 +129241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.250048655,1 +129242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.223818028,1 +129243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.446318345,1 +129245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.540342111,1 +129244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.015829822,1 +129246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.09474785,1 +129248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.050900063,1 +129249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.085165235,1 +129250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.093595012,1 +129251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.574766868,1 +129252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.275749129,1 +129247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.002830475,1 +129253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.296343875,1 +129256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.205916009,1 +129255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.585913233,1 +129254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.120808598,1 +129257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.827193236,1 +129258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.427404651,1 +129259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.806970951,1 +129260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.344785435,1 +129261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.98818864,1 +129263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.586792011,1 +129262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.696968838,1 +129264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.94449085,1 +129265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.251823181,1 +129266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.327070791,1 +129268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.467310591,1 +129269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.299957873,1 +129270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.133444302,1 +129267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,7.395882424,1 +129271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.43747769,1 +129272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.511693603,1 +129273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.976360817,1 +129274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.969177844,1 +129276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.995280145,1 +129275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.981257871,1 +129277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.206419411,1 +129278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.903953469,1 +129279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.930453434,1 +129280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.142092376,1 +129281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.618430621,1 +129283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.059664981,1 +129284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.787630431,1 +129282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.695661369,1 +129285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.062788569,1 +129287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.394013664,1 +129286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.593519411,1 +129288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.462347874,1 +129289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.247804253,1 +129290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.781437884,1 +129291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.844310994,1 +129293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.487888103,1 +129294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.654387004,1 +129292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.059484511,1 +129296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.058005488,1 +129295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.305999799,1 +129297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.77292501,1 +129299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.740717513,1 +129300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.499748875,1 +129298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.223656075,1 +129301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.21603082,1 +129304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.765344291,1 +129302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.939973991,1 +129303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.618330131,1 +129305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.792003073,1 +129306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.91338369,1 +129307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.165121854,1 +129308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.104983624,1 +129309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.758890525,1 +129311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.584710242,1 +129312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.062010561,1 +129313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.402017153,1 +129314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.624461099,1 +129310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.401142544,1 +129315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.723393468,1 +129318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.986461427,1 +129316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.536948978,1 +129317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.810307103,1 +129320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.803548697,1 +129319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.597980379,1 +129321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.548097368,1 +129322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.395498831,1 +129323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.765476323,1 +129324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.172634619,1 +129325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.417651438,1 +129326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.004448577,1 +129329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.408856376,1 +129328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.864560153,1 +129330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.694281553,1 +129327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.514587784,1 +129332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.693873804,1 +129331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.809580606,1 +129333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.996984259,1 +129334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.896264248,1 +129336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.697096176,1 +129337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.092265472,1 +129338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.737001699,1 +129335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.499947858,1 +129339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.718760076,1 +129340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.923708506,1 +129341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.560032585,1 +129343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.690232158,1 +129344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.27143673,1 +129342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.814258904,1 +129345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.202771223,1 +129348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.639086316,1 +129346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.291841448,1 +129347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.871118224,1 +129349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.503909519,1 +129350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.135595819,1 +129351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.376438368,1 +129352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.784088578,1 +129353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.051937942,1 +129355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.972958211,1 +129356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.308806072,1 +129357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.497379441,1 +129358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.460188795,1 +129359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.206696531,1 +129360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.293802704,1 +129354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.543064332,1 +129363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.773910841,1 +129362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.09016272,1 +129364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.927778954,1 +129361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.851457265,1 +129365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.483945053,1 +129366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.152963139,1 +129368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.193740315,1 +129367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.092178702,1 +129369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.897889437,1 +129370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.909866363,1 +129371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.719553785,1 +129373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.859205474,1 +129374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.023437125,1 +129375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.283852932,1 +129372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.416097084,1 +129377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.358335044,1 +129376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.905064957,1 +129378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,7.335197539,1 +129379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,1.9663962,1 +129381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.518152941,1 +129380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.069480948,1 +129384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.726980654,1 +129383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.698976419,1 +129385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.174010171,1 +129382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.750049482,1 +129386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.533416843,1 +129387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,1.429467074,1 +129388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.916975149,1 +129389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.871062775,1 +129392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.352509288,1 +129393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.096232841,1 +129390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.273165458,1 +129391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,7.068793147,1 +129396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.424929317,1 +129394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.131679406,1 +129397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.875770843,1 +129395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.668409558,1 +129398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.800180865,1 +129399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.836623217,1 +129400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.660938938,1 +129402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.758997547,1 +129403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.541312226,1 +129401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.782447294,1 +129404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.860882788,1 +129406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.337067699,1 +129407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.407519157,1 +129405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.520254192,1 +129409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.598973518,1 +129408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.425419238,1 +129410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.296341609,1 +129411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.593593366,1 +129412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.937497496,1 +129414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.551198271,1 +129415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.334807979,1 +129413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.47445025,1 +129416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.367977941,1 +129418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.440457431,1 +129419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.730674194,1 +129420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.328242499,1 +129417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.271010683,1 +129421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.864008003,1 +129422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.780471127,1 +129424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.408500512,1 +129426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.601267734,1 +129423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.506306862,1 +129425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.463412733,1 +129427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.628901096,1 +129428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.131154919,1 +129429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.67017817,1 +129431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.082611871,1 +129432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.265167672,1 +129430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.606330213,1 +129433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.305301902,1 +129435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.447293616,1 +129437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.629985981,1 +129436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.085810108,1 +129434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.32410602,1 +129440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.141365177,1 +129439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.853686476,1 +129441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.663829202,1 +129438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,1.758411258,1 +129443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.028835763,1 +129444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.857850335,1 +129445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.765107736,1 +129442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.556477715,1 +129446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.833596165,1 +129447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.561519766,1 +129448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.332928166,1 +129450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,7.864524996,1 +129452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.814667086,1 +129449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.634683138,1 +129451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.417536824,1 +129454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.311168543,1 +129455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.822790825,1 +129453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.808615764,1 +129456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.392412921,1 +129457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.485391685,1 +129459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.670093997,1 +129458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.626600438,1 +129460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.600607718,1 +129461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.834295819,1 +129462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.090089676,1 +129464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.555659182,1 +129465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,7.665702001,1 +129466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.441692358,1 +129467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.960761125,1 +129463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.421734729,1 +129469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.135299028,1 +129468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.586169321,1 +129472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.989231481,1 +129473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.093600018,1 +129470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.400429475,1 +129471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.596313176,1 +129474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.676989232,1 +129475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,1.868370212,1 +129477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.447993816,1 +129476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.175167835,1 +129478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.892511985,1 +129479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.047424384,1 +129480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,1.564580949,1 +129481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.36245348,1 +129482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.792353539,1 +129484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.562968344,1 +129483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.011087929,1 +129488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,7.111246545,1 +129487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.809308307,1 +129485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.836434045,1 +129486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.889373248,1 +129489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,7.631556733,1 +129490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.813610425,1 +129491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.303903759,1 +129492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.28223362,1 +129493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.391837682,1 +129494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.304068245,1 +129496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.274027719,1 +129495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.955227936,1 +129499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.533040273,1 +129498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.869688725,1 +129497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.694859143,1 +129500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.639757707,1 +129501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.479444549,1 +129503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.820333922,1 +129502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.752301524,1 +129505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.345649817,1 +129504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.88604756,1 +129506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.152447876,1 +129508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.424009336,1 +129509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.461460173,1 +129507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.416146208,1 +129510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.930056818,1 +129512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.822767298,1 +129513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.517401411,1 +129511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.20031969,1 +129514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.307310456,1 +129515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.670588489,1 +129516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,1.3553822,1 +129517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.981424421,1 +129519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.843639278,1 +129518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.060798257,1 +129520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.92796425,1 +129521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.343745853,1 +129523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.318776055,1 +129524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.154431562,1 +129522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.905484477,1 +129525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.676973369,1 +129526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.111448485,1 +129527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.817903122,1 +129530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.603011571,1 +129528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.890445898,1 +129529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.324343273,1 +129531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.172644757,1 +129533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,1.726230622,1 +129532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.613188867,1 +129535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.70490967,1 +129534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.464216536,1 +129537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.888566454,1 +129538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.498331253,1 +129536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.692081183,1 +129539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.072606522,1 +129540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.12045718,1 +129541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.766414572,1 +129542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.461282729,1 +129544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.588327111,1 +129543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.851982495,1 +129546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.999627503,1 +129545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.320601402,1 +129548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.698343561,1 +129549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.407284181,1 +129550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.069873566,1 +129547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.183134405,1 +129553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.147889246,1 +129552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.342556544,1 +129554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.278155651,1 +129551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.639988429,1 +129555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.811767722,1 +129557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.192855432,1 +129558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.037938756,1 +129556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.818639788,1 +129560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.753297978,1 +129559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.89611737,1 +129561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.200768193,1 +129562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.197550277,1 +129564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.335978033,1 +129563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.282448871,1 +129566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.511925201,1 +129567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.903345027,1 +129568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.589203479,1 +129569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.552955938,1 +129565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.602711513,1 +129570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.309986918,1 +129571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.25798489,1 +129574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.424268391,1 +129573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.463580427,1 +129575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.34353203,1 +129572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.159042817,1 +129577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.765387177,1 +129578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.958902782,1 +129576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.324078961,1 +129579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.802540654,1 +129580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.696391493,1 +129582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.182310333,1 +129583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.074874445,1 +129581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,0.892878275,1 +129585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.718482423,1 +129586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.031293743,1 +129587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.99934861,1 +129588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.099917614,1 +129584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.477900233,1 +129590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.611349975,1 +129589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.334611056,1 +129592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.959859666,1 +129591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.846166336,1 +129593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.350740296,1 +129594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.573658724,1 +129596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.988570236,1 +129595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.59914173,1 +129598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.655909192,1 +129599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.03195923,1 +129600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.483961969,1 +129601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.777586741,1 +129597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.558114028,1 +129602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.152832533,1 +129605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.495535493,1 +129604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.206098362,1 +129603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.775744683,1 +129607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.535899651,1 +129606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.75689245,1 +129609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.541828041,1 +129608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.033041824,1 +129610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.93451481,1 +129611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.558106076,1 +129613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.075880797,1 +129612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.201425544,1 +129615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.348173366,1 +129616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.147285956,1 +129614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.019938143,1 +129617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.975592877,1 +129618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.677194445,1 +129619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.074994579,1 +129620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.740760824,1 +129622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.113740232,1 +129623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.660714729,1 +129621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.504438293,1 +129624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.617715981,1 +129626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.26489146,1 +129625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.755902682,1 +129628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.050009824,1 +129627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.809517264,1 +129629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.470712998,1 +129630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.701884273,1 +129631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.365209183,1 +129633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.8752833,1 +129632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.521284224,1 +129634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.434519672,1 +129638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.432336,1 +129635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.541888843,1 +129637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.136086213,1 +129636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.055210716,1 +129639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.732851406,1 +129640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.107186963,1 +129642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.964975572,1 +129641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.28393864,1 +129643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.97361324,1 +129644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.222614459,1 +129645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.400538538,1 +129646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.493717483,1 +129647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.63104254,1 +129649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.400002269,1 +129648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.260386176,1 +129650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.209053524,1 +129651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.881755022,1 +129652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.956347752,1 +129654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.469247022,1 +129653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.252971668,1 +129655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.194194041,1 +129656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.590849587,1 +129658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.703454273,1 +129657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.089302013,1 +129659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.161292348,1 +129660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.41841949,1 +129661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.638339822,1 +129663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.931528261,1 +129662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.383276398,1 +129665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.401298337,1 +129664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.388867884,1 +129666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.667118922,1 +129667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.42325884,1 +129668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.764146211,1 +129669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.945302381,1 +129670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.121893161,1 +129672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,7.471625877,1 +129673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.446091247,1 +129674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.481847535,1 +129675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.4251234,1 +129676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.547055324,1 +129671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,1.973353898,1 +129677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.484600154,1 +129679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.60564244,1 +129678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.814649622,1 +129681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.527538425,1 +129680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.021723237,1 +129683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.110220589,1 +129682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.471359261,1 +129684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.535831983,1 +129685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.299884058,1 +129686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.79756193,1 +129688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.545720397,1 +129687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.170560284,1 +129689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.965764663,1 +129690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.10766797,1 +129691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.590606888,1 +129692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,1.294355762,1 +129694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.093683834,1 +129695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.999186314,1 +129696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.344780552,1 +129693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.72445086,1 +129699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.055570949,1 +129697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.400955961,1 +129698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.812430414,1 +129700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.89133008,1 +129701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.24326616,1 +129702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.796256021,1 +129703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.849145738,1 +129704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.233267176,1 +129705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.02265676,1 +129707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.777704797,1 +129706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.472938735,1 +129711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.419686009,1 +129708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.676150235,1 +129709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.267313329,1 +129710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.546539479,1 +129712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.05500937,1 +129714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.183768124,1 +129715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.861351731,1 +129713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.182728851,1 +129716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.713796577,1 +129717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.930867078,1 +129718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.626310258,1 +129719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.614588363,1 +129720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.314296071,1 +129721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.28511767,1 +129722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.731463439,1 +129723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.125018642,1 +129724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.21339834,1 +129725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.500535423,1 +129726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.513869085,1 +129729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.171447404,1 +129728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.914121764,1 +129727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.743124181,1 +129730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.018685071,1 +129731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.739497626,1 +129732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.616800954,1 +129734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.880700222,1 +129735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.685520803,1 +129733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.518568588,1 +129737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.227774166,1 +129736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.864639614,1 +129738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,1.948510141,1 +129740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.160582073,1 +129742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.901552605,1 +129739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.927684425,1 +129741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.908301242,1 +129743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.777878433,1 +129745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.60308623,1 +129746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.748250268,1 +129744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.602693235,1 +129747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.948739641,1 +129749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.344098109,1 +129750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.270620276,1 +129751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.659719226,1 +129752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.93851324,1 +129748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.550678048,1 +129753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.264294978,1 +129754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.713006089,1 +129755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.665965432,1 +129757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.688537487,1 +129758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.635208419,1 +129756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.47664297,1 +129760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.443134068,1 +129759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.110414086,1 +129761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.66801198,1 +129762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.976017027,1 +129764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,1.612534187,1 +129765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.779878425,1 +129766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.062745788,1 +129767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.762893661,1 +129763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.356796186,1 +129768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.950779671,1 +129770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.94089115,1 +129771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.781940636,1 +129772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.448186931,1 +129769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.383061682,1 +129773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.722110912,1 +129774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.662332292,1 +129776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.02022584,1 +129775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.220054877,1 +129778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.558270833,1 +129777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.947871296,1 +129780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.229130926,1 +129781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.72390866,1 +129782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.493942976,1 +129779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.298297793,1 +129783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.869985464,1 +129785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.087521273,1 +129786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.325208499,1 +129787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.489201302,1 +129788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.499174812,1 +129784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.305239172,1 +129790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.379118545,1 +129792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.887731344,1 +129791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.479261233,1 +129793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.618250767,1 +129794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.710472001,1 +129789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.857458939,1 +129795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.951103899,1 +129796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.33650658,1 +129797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.530128942,1 +129798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.738545759,1 +129799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.682643382,1 +129800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.074644082,1 +129803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.877398093,1 +129802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.089742276,1 +129801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.62741931,1 +129804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.586220134,1 +129806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.572844738,1 +129805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.626898304,1 +129807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.642200008,1 +129808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.257963118,1 +129810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.823626286,1 +129811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.580446048,1 +129812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.040465631,1 +129813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.35524162,1 +129814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.387165716,1 +129809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.255439958,1 +129815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.813237893,1 +129816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.774689323,1 +129818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.043405597,1 +129817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.057801341,1 +129819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.563872914,1 +129820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.388126278,1 +129822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.890732053,1 +129823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.054172844,1 +129821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.981104475,1 +129824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.632252676,1 +129825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.134804762,1 +129826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.339222122,1 +129828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.827481083,1 +129829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.450779158,1 +129830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.31587004,1 +129827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.220707799,1 +129831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.910109511,1 +129833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.840541139,1 +129835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.824668371,1 +129832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.201185705,1 +129834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.102898464,1 +129837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.413378348,1 +129838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.579667051,1 +129839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.59655947,1 +129836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.624022669,1 +129840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,7.455782586,1 +129841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.938616018,1 +129842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.517292017,1 +129843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.517878187,1 +129844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.609481595,1 +129845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.532257206,1 +129847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.661288857,1 +129848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.441954859,1 +129849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.535988038,1 +129846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.46379747,1 +129850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.883156305,1 +129852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.177890464,1 +129853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.366402629,1 +129851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.379475665,1 +129854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.466194938,1 +129855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.758705925,1 +129856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.167515653,1 +129857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.796124097,1 +129859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.69387628,1 +129858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.957029567,1 +129861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.829592341,1 +129860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.272666822,1 +129862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.644496117,1 +129864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.88764031,1 +129863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.047761322,1 +129865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.119524619,1 +129868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.508373845,1 +129867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.621227196,1 +129866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.13653011,1 +129869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.074330273,1 +129872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.779005777,1 +129871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.579426242,1 +129873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.475334684,1 +129870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.238053286,1 +129874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.264550364,1 +129875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.550018244,1 +129876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.276314061,1 +129879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.153970001,1 +129878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.165350829,1 +129877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.674306682,1 +129883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.14788326,1 +129881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.219919577,1 +129882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,8.005971535,1 +129880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.722633788,1 +129884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.026177562,1 +129886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.647891774,1 +129885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.882294176,1 +129887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.57818523,1 +129888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.280055356,1 +129890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.421032586,1 +129889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.394169086,1 +129891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.049170107,1 +129893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.60974685,1 +129894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.721560513,1 +129895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.285083579,1 +129892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.961813357,1 +129896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.441530346,1 +129897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.622663298,1 +129899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.210404734,1 +129898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.746083488,1 +129900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.07523172,1 +129901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.458896757,1 +129902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.122978193,1 +129903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.015237721,1 +129904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.288752624,1 +129905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.831222956,1 +129906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.412403797,1 +129907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.11630925,1 +129908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.572866579,1 +129909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.917288514,1 +129910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.374972401,1 +129912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.579230364,1 +129913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.345637712,1 +129911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.872195913,1 +129914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.481863395,1 +129915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.204016545,1 +129916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.710131781,1 +129917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.673689036,1 +129918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.216564477,1 +129919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.733224662,1 +129920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.30179459,1 +129922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.718462429,1 +129921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.635987018,1 +129923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.412399057,1 +129924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.559133989,1 +129926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.652901694,1 +129928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.872631359,1 +129925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.449835645,1 +129927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.873042335,1 +129931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.506654293,1 +129930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.681143326,1 +129932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.212445238,1 +129933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.65429852,1 +129934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.349601357,1 +129935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,7.603892288,1 +129929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.585785177,1 +129936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.310512869,1 +129937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,1.863037029,1 +129938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.938502456,1 +129939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.095822312,1 +129941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.777322712,1 +129942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.577479603,1 +129940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.925159082,1 +129943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.886118972,1 +129946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.211516327,1 +129945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.107752533,1 +129944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.860714635,1 +129947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.571667585,1 +129948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.472792431,1 +129949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.817188032,1 +129950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.163955404,1 +129953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.197401093,1 +129952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.688589567,1 +129954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.365279643,1 +129955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.479872898,1 +129951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.810978177,1 +129956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.695906512,1 +129957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.789161959,1 +129959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.220224698,1 +129958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.247470344,1 +129960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.207720246,1 +129961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.960685628,1 +129964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.246384467,1 +129963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.975105606,1 +129965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.083734674,1 +129962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.715755831,1 +129966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.21734782,1 +129967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.151401997,1 +129968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.823085095,1 +129969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.646131089,1 +129970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.086290461,1 +129971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.656567667,1 +129972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.584069782,1 +129975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.484252306,1 +129973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.738607751,1 +129974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.054389427,1 +129976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.397935872,1 +129977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.244118709,1 +129978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.195793446,1 +129979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.350253441,1 +129981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.566791614,1 +129982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.536923087,1 +129983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.069380007,1 +129980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.365286309,1 +129985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.890357849,1 +129984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.718132448,1 +129986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.731377969,1 +129987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.48711613,1 +129990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.226033966,1 +129988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.551332538,1 +129991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.096116109,1 +129989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,3.715900415,1 +129992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,5.376995011,1 +129993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.528481337,1 +129994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.791183545,1 +129996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.994105441,1 +129997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.157224612,1 +129995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,2.213108548,1 +129998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.802133305,1 +129999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,6.169800232,1 +130000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.2,10,1,4.534412984,1 +139002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.847278285,1 +139001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.941991894,1 +139003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.79778001,1 +139004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.124740164,1 +139006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.774059579,1 +139008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.077121555,1 +139007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.789616997,1 +139005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.318826501,1 +139009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.777169574,1 +139010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.164859612,1 +139012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.941674358,1 +139011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,8.024237749,1 +139013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.077411455,1 +139014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.65718691,1 +139015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,8.207623179,1 +139016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.883872351,1 +139017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.746166351,1 +139018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.431067831,1 +139019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.479504115,1 +139020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.461528423,1 +139021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.070279926,1 +139022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.919806692,1 +139023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.009774253,1 +139025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.062192846,1 +139024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.267141328,1 +139027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.400162187,1 +139028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.107336283,1 +139029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.105704906,1 +139030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.764084428,1 +139031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.491668584,1 +139026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.538580116,1 +139032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.179647552,1 +139033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.962766083,1 +139034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.674215934,1 +139035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.448988898,1 +139036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.248790273,1 +139039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,9.268818293,1 +139038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.070964131,1 +139037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.717437086,1 +139042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.018160051,1 +139041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.681660422,1 +139043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.544433006,1 +139044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.778580921,1 +139040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.949558911,1 +139047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.828058239,1 +139045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.806530535,1 +139046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.402169147,1 +139048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.002993746,1 +139050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.014573822,1 +139051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.201420053,1 +139052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.408155646,1 +139049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.987115598,1 +139053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,6.277861815,1 +139054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.516294671,1 +139056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.183429214,1 +139057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.403535209,1 +139055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,7.111643476,1 +139059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.374322648,1 +139058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,7.143130274,1 +139061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.245576885,1 +139062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,6.963779615,1 +139060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.817609613,1 +139063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.883070374,1 +139064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.902137693,1 +139066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.501638347,1 +139067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.623209691,1 +139065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.987941368,1 +139068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.93363647,1 +139069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.495350802,1 +139070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.501739804,1 +139071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.313905362,1 +139072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.210662654,1 +139073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.982849631,1 +139075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.888421515,1 +139077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.502061026,1 +139074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.495871938,1 +139076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.107793483,1 +139078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.719937878,1 +139082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.789100134,1 +139081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.614624065,1 +139080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.264098414,1 +139079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.519117503,1 +139085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.726357674,1 +139086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.076279949,1 +139083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.349052775,1 +139084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,6.010829609,1 +139088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.364262578,1 +139087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.395200828,1 +139089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.31952827,1 +139091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.6015524,1 +139090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.808410119,1 +139093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.328948099,1 +139092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.436404094,1 +139095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.110052151,1 +139096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.084838984,1 +139094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.728099094,1 +139097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.877024799,1 +139098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.690841197,1 +139100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.18432817,1 +139099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.31406681,1 +139101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.164028995,1 +139103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.710526277,1 +139102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.79450672,1 +139104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.044857006,1 +139105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.14171961,1 +139106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.252142811,1 +139108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.287553081,1 +139109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.929415762,1 +139107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.258167761,1 +139111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.782328412,1 +139110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.871352296,1 +139112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.280336704,1 +139114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.60432618,1 +139113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.560249374,1 +139115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.621902054,1 +139116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.708433105,1 +139117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.895566067,1 +139119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.860889129,1 +139118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.32171675,1 +139120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.833048217,1 +139121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.696882975,1 +139122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.434712384,1 +139123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.046697402,1 +139125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.645594365,1 +139126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.024049194,1 +139124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.862755498,1 +139128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.199903794,1 +139130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.346026989,1 +139129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.763820924,1 +139127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.758177844,1 +139132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.782697896,1 +139133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.144731155,1 +139134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.512001985,1 +139135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.175808403,1 +139131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.034807518,1 +139136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.849972872,1 +139137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.37768289,1 +139138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.884711646,1 +139140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.596898377,1 +139139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.617751856,1 +139141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.703794291,1 +139144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.958888272,1 +139142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.020641305,1 +139143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.782650251,1 +139146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.097179457,1 +139145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.550561764,1 +139147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.040071679,1 +139148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.558741513,1 +139151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.521611797,1 +139150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.319880295,1 +139152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.038843588,1 +139153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,6.532815056,1 +139149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.95707129,1 +139154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.638386614,1 +139155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.650221839,1 +139157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.191065559,1 +139159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.988141494,1 +139156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.784673897,1 +139158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.182412431,1 +139160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.664976826,1 +139161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.282651348,1 +139162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.405367062,1 +139163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.392230647,1 +139164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.526671752,1 +139165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.545394661,1 +139166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.858365017,1 +139169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.643379123,1 +139167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.08321927,1 +139170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.829040054,1 +139168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.667052329,1 +139171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.232135996,1 +139172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.652433748,1 +139174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.141001517,1 +139173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.14449709,1 +139176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.399715585,1 +139175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.606862654,1 +139177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.484703855,1 +139178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.998138443,1 +139180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.295443804,1 +139179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.665801913,1 +139182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,6.838902028,1 +139181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.551079108,1 +139183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.437419526,1 +139184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.367368473,1 +139186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.255495253,1 +139187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,6.15648189,1 +139185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.985069278,1 +139188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.974965573,1 +139189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.776061725,1 +139190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.040353658,1 +139191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,6.241703596,1 +139193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.718291382,1 +139194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.530381355,1 +139195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.783949265,1 +139192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.828262138,1 +139196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.901841832,1 +139197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.409302683,1 +139198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.529978044,1 +139200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.824113743,1 +139201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.02181189,1 +139199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.432175701,1 +139203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.025215049,1 +139202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.664630424,1 +139204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.959802285,1 +139205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.887079386,1 +139207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.354677456,1 +139206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.953369101,1 +139208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.479849589,1 +139209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.838230616,1 +139210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.68962602,1 +139211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.862438231,1 +139212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.227211189,1 +139214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.260123364,1 +139215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.646182336,1 +139216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.153785564,1 +139213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.837216334,1 +139217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.380358947,1 +139218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.250103672,1 +139219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.549025053,1 +139220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.688512063,1 +139221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.880485643,1 +139223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.849355261,1 +139222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.435343902,1 +139224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.586070296,1 +139225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.636826402,1 +139226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,8.52717214,1 +139227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.633778327,1 +139229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.488027804,1 +139230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.456899841,1 +139231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.665412165,1 +139232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.321306869,1 +139233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.158562559,1 +139234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.444749955,1 +139228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.151986935,1 +139235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.96313066,1 +139236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.601734368,1 +139238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.725588806,1 +139240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.666815961,1 +139239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.328393929,1 +139241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.481869743,1 +139237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.750908755,1 +139242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.464158669,1 +139243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.144340244,1 +139244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.844142192,1 +139246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.67374246,1 +139247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.106132254,1 +139245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.130908373,1 +139248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.078089053,1 +139251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,6.038603032,1 +139249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.747446664,1 +139250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.234381923,1 +139252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.175293497,1 +139253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.705628422,1 +139254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.002838331,1 +139255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.337338503,1 +139256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.519137717,1 +139258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.003155574,1 +139259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.68693587,1 +139257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.453135716,1 +139261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.506385141,1 +139262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.024273331,1 +139260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.425877148,1 +139263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.421220808,1 +139265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.935785155,1 +139264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.93111446,1 +139266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.581238159,1 +139267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.75207104,1 +139268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.395273589,1 +139269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.060155255,1 +139271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.774442731,1 +139270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.828911011,1 +139272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.632872708,1 +139273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.948224573,1 +139274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.999764258,1 +139276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.691237192,1 +139275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.212220569,1 +139277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.748772889,1 +139280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.969111128,1 +139278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.498974039,1 +139281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.789700106,1 +139279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.840011222,1 +139283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.891108923,1 +139284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.224177723,1 +139285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.063112636,1 +139286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.636616938,1 +139287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.236931453,1 +139288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.291629361,1 +139289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.430923544,1 +139282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.38695757,1 +139290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.677542872,1 +139291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.163015126,1 +139293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.683096288,1 +139294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.443085396,1 +139295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,6.438037555,1 +139292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.510600638,1 +139296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.205442136,1 +139297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.060344687,1 +139298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.449253045,1 +139299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.580795578,1 +139301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.016077698,1 +139302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.386141784,1 +139303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.457891199,1 +139304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.13499676,1 +139305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.123865244,1 +139300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.172086712,1 +139306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.038263544,1 +139307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.424236677,1 +139308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.64731874,1 +139309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,7.298164153,1 +139310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.953246302,1 +139313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,6.040373935,1 +139311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.103471592,1 +139314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.409418984,1 +139312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.634813099,1 +139315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.95449092,1 +139316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.706863215,1 +139317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.456983262,1 +139318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.608714722,1 +139320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,6.245869957,1 +139321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.76323712,1 +139322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,6.358976996,1 +139323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,6.247060359,1 +139325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.469493269,1 +139324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,6.362008214,1 +139319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.489865488,1 +139326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,6.854725854,1 +139329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.311599444,1 +139327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.013578928,1 +139328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.212206557,1 +139330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.624510897,1 +139332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.936093401,1 +139333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.136367068,1 +139331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.894706942,1 +139335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.318092816,1 +139334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.015905788,1 +139336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.126940645,1 +139337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.047782348,1 +139338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.009378442,1 +139339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.710491337,1 +139340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.129251505,1 +139341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.039497995,1 +139343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.506407758,1 +139342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.607404241,1 +139344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.874347928,1 +139345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.183785308,1 +139346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.655566587,1 +139347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.331861846,1 +139348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.704158581,1 +139350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.013473232,1 +139349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.73279525,1 +139351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.252740618,1 +139352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.181711676,1 +139353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.575808614,1 +139355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.594735656,1 +139354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.565228879,1 +139356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.879169345,1 +139357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.041593906,1 +139358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.45735709,1 +139360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.548772237,1 +139361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.69753252,1 +139359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.774818829,1 +139362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.456370047,1 +139363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.442587856,1 +139364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.539458728,1 +139366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.210167056,1 +139367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.297080023,1 +139365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.679709658,1 +139368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.785493017,1 +139369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.004296418,1 +139370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.155920222,1 +139372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.653732925,1 +139371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.517274992,1 +139373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.052032255,1 +139374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.766881821,1 +139376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.004604165,1 +139377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.830693919,1 +139375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,6.423863357,1 +139379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.93865072,1 +139380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.522460393,1 +139381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.162591537,1 +139378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.960853497,1 +139382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.331626212,1 +139383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.26642617,1 +139384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,8.103578859,1 +139386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.243118944,1 +139388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.478923972,1 +139385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.644373403,1 +139387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.076976338,1 +139391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.511869788,1 +139389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.198831095,1 +139392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.943036287,1 +139394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.447776832,1 +139390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.969533505,1 +139395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.787852785,1 +139393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.359522112,1 +139396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.647947453,1 +139398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.758494114,1 +139397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.318477075,1 +139400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.804598468,1 +139401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,6.255848533,1 +139402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.557332443,1 +139399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.089929698,1 +139405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.718613149,1 +139403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.442793409,1 +139406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.843482036,1 +139404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.130573129,1 +139407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.687924753,1 +139408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.274635231,1 +139410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.444837501,1 +139412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.221222573,1 +139409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.374863449,1 +139413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.066603713,1 +139414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.551090711,1 +139411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.38850975,1 +139416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.77208402,1 +139415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.881560159,1 +139418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.528642147,1 +139417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.361215249,1 +139421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.547280633,1 +139419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.236303663,1 +139420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.358945626,1 +139422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.13699438,1 +139423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.692656475,1 +139424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.858934131,1 +139426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.224207305,1 +139425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.985844988,1 +139428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,6.847926004,1 +139429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.100166868,1 +139431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.761990107,1 +139430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.13269711,1 +139427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.456096372,1 +139432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.222150501,1 +139434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.05052117,1 +139435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.863378238,1 +139433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.344777905,1 +139437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.872583138,1 +139438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.119612514,1 +139436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.946678833,1 +139439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.157394457,1 +139440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.175060491,1 +139441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.492224222,1 +139442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.842822849,1 +139443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.476157924,1 +139445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.234020762,1 +139447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.978018385,1 +139446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.209185547,1 +139448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.035537523,1 +139444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.242629015,1 +139450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.903703194,1 +139449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.206756906,1 +139452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.592123914,1 +139451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.615311022,1 +139454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.199234049,1 +139455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.75735739,1 +139456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,6.08387994,1 +139453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,6.351713357,1 +139457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.556008453,1 +139458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.19453894,1 +139459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.684656013,1 +139461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.724576139,1 +139460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.98302038,1 +139463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.809374812,1 +139462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.748979188,1 +139464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,9.574373861,1 +139466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.007701615,1 +139465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.876476831,1 +139467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.579036076,1 +139468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.756165148,1 +139469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,6.532261392,1 +139471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.862518135,1 +139472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.028725976,1 +139473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.807184931,1 +139474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.700418669,1 +139470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.503138602,1 +139476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.954577164,1 +139475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.931407175,1 +139477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.926657634,1 +139478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.164629391,1 +139480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.878563654,1 +139481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.793191712,1 +139479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.928094498,1 +139482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.086489577,1 +139484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.187966831,1 +139483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.625508682,1 +139485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.944877245,1 +139486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.862423705,1 +139487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.923985086,1 +139489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,6.922405132,1 +139488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.967783654,1 +139491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.191074559,1 +139492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.022511972,1 +139493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.558435452,1 +139490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.834781726,1 +139496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.469193126,1 +139495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.785525769,1 +139497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.573074148,1 +139494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.486713171,1 +139498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.660328075,1 +139499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.159957338,1 +139500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.364317182,1 +139501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.729404768,1 +139502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.199869267,1 +139503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.906594806,1 +139504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.145176925,1 +139505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.500162794,1 +139506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.340612816,1 +139507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.498459218,1 +139509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.688813167,1 +139510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.276982438,1 +139511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.561215941,1 +139508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.134244476,1 +139512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.840037452,1 +139513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.219096832,1 +139514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.989554401,1 +139516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.040470286,1 +139515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.727258014,1 +139517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.891992066,1 +139518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.873275393,1 +139519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.948925136,1 +139521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.127541461,1 +139522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.739503975,1 +139520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.749949254,1 +139523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.614956494,1 +139524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.869041576,1 +139525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.734167904,1 +139526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.215211569,1 +139528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.715553005,1 +139529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.884162427,1 +139531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.380732554,1 +139527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.331063078,1 +139530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.156963759,1 +139532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.986320466,1 +139533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.670836335,1 +139534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.336997881,1 +139536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.312179161,1 +139537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.997911251,1 +139538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.066669913,1 +139535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.876434967,1 +139539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.528616366,1 +139541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.289772181,1 +139540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.015047697,1 +139542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.523161228,1 +139543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.942167126,1 +139545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.939559019,1 +139544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.982355881,1 +139547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.494066479,1 +139548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.34529744,1 +139549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.436880779,1 +139546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.034541314,1 +139550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.752125935,1 +139551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.952244808,1 +139552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.36614659,1 +139553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.327706699,1 +139555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.223772669,1 +139554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.71446021,1 +139556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.524270088,1 +139557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.088542763,1 +139560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.33683079,1 +139558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.567687655,1 +139559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.943670596,1 +139561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.904209123,1 +139563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.307273183,1 +139564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.786014285,1 +139562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.475022906,1 +139566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.512397822,1 +139567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.179257925,1 +139565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.193982527,1 +139568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.348782858,1 +139569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.800425073,1 +139570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.828991195,1 +139572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.061519821,1 +139571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.669947028,1 +139574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.485569998,1 +139573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.669957358,1 +139575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.449035848,1 +139577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.781435978,1 +139576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.694463266,1 +139578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.320714041,1 +139580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.709350695,1 +139581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.639407856,1 +139582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.062730756,1 +139583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.317369571,1 +139579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.875290983,1 +139585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.362670931,1 +139586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.241279391,1 +139587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.861702812,1 +139584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.252200581,1 +139589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.59128131,1 +139590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.138251312,1 +139588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.761117638,1 +139593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.227828402,1 +139592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.896183971,1 +139594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.887933968,1 +139591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.232529351,1 +139596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.361865292,1 +139597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.793158704,1 +139598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.512295386,1 +139595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,6.264220576,1 +139599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.290301893,1 +139600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.620497711,1 +139601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.893020957,1 +139602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.641970178,1 +139604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.542905544,1 +139603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.023247513,1 +139605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.257386561,1 +139606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.863321723,1 +139608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.080812886,1 +139607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.306624579,1 +139610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.963792368,1 +139611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.338273627,1 +139612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.143966934,1 +139609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.283383247,1 +139614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.880090963,1 +139615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.769252322,1 +139616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.609056491,1 +139613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.306336758,1 +139619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.006021391,1 +139617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.729099447,1 +139620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,6.156003264,1 +139618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.39986007,1 +139622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.017274437,1 +139623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.832139616,1 +139624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.954410053,1 +139625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,7.374678794,1 +139626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.519308135,1 +139627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.056489023,1 +139621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.841002107,1 +139628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.146380419,1 +139629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.707866076,1 +139630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.006913093,1 +139632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.410789723,1 +139634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.769402915,1 +139631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.166857082,1 +139633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.189629038,1 +139637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.52301543,1 +139636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.005857269,1 +139635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.742470018,1 +139638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.328842141,1 +139639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.774740007,1 +139640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.219352471,1 +139641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.968298093,1 +139642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.535634351,1 +139644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.489702712,1 +139645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.534677621,1 +139646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.97421661,1 +139643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.308899996,1 +139648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.027766576,1 +139647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.037481434,1 +139651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.049897184,1 +139649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.03313703,1 +139652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.401838453,1 +139650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.945387459,1 +139654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.785792223,1 +139653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.330017788,1 +139655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.666696682,1 +139656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.392919992,1 +139658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,7.166863116,1 +139657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.932378951,1 +139659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.867955677,1 +139661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.324518354,1 +139662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.224534755,1 +139663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.608701658,1 +139660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.331294839,1 +139664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.00380508,1 +139666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.426134749,1 +139665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.358069586,1 +139668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.021253264,1 +139667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.731693179,1 +139669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.727123741,1 +139670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.070216812,1 +139671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.800843499,1 +139673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.132551908,1 +139674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.449739986,1 +139672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.190775837,1 +139675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.182969031,1 +139676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.418825403,1 +139677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.77244408,1 +139678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.886951508,1 +139681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.917167546,1 +139679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.302431784,1 +139680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.431057794,1 +139684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.397084859,1 +139683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,6.20306713,1 +139685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.87585402,1 +139682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.644963029,1 +139686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.054207866,1 +139687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.136688548,1 +139688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.429133563,1 +139690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.453336043,1 +139691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.092685252,1 +139692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.78875641,1 +139689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.326190515,1 +139696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.721708783,1 +139693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.765216423,1 +139695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.352822056,1 +139694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.278235849,1 +139697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.808938544,1 +139698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.5027561,1 +139699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.394933406,1 +139700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.013427052,1 +139702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.18353366,1 +139703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.65476094,1 +139704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.740294725,1 +139705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.714643045,1 +139707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.07830553,1 +139706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.047641737,1 +139701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.801505273,1 +139711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.709134005,1 +139708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.638786534,1 +139710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.141308888,1 +139709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.454054184,1 +139712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.331984222,1 +139713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.046357009,1 +139714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.649486702,1 +139715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.277307652,1 +139717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.932632098,1 +139716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.880056918,1 +139718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.35384654,1 +139719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.395961629,1 +139721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,6.155184943,1 +139722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.847414352,1 +139723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.882652494,1 +139724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.285145677,1 +139720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.54755518,1 +139725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.098711105,1 +139726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.678661894,1 +139728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.70052404,1 +139727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.259817646,1 +139730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.480120795,1 +139729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.791230122,1 +139731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.506336267,1 +139732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.672073477,1 +139733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.016181333,1 +139734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.393582444,1 +139736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.973212548,1 +139735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.491024668,1 +139738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.672019356,1 +139737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.439860008,1 +139739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.973129871,1 +139740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.542983843,1 +139742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.577729081,1 +139741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.469023282,1 +139743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.781094619,1 +139745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.403858566,1 +139746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.313534058,1 +139747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.811296001,1 +139744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.194435277,1 +139748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.531908817,1 +139749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.910271535,1 +139750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.633809863,1 +139751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.124793545,1 +139752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.539707621,1 +139753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.792790956,1 +139754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.784589381,1 +139755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.458371319,1 +139756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.762673202,1 +139758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.40585946,1 +139757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.154219502,1 +139759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.372359203,1 +139760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.242692139,1 +139762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.556850054,1 +139764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.992170525,1 +139763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.788780663,1 +139765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.208567776,1 +139761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.901989838,1 +139766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.339101733,1 +139767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.433128674,1 +139768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.838309165,1 +139771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.352692906,1 +139769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.701390795,1 +139770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.471923676,1 +139772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.668418704,1 +139774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.679432119,1 +139775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.940075067,1 +139776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.097645963,1 +139773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.996015574,1 +139777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.356297898,1 +139778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.698128512,1 +139779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,8.007586576,1 +139782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.816309723,1 +139780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.759023882,1 +139783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.886248167,1 +139784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.517687637,1 +139785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.24717904,1 +139781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.829476481,1 +139786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.33839916,1 +139788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.770035964,1 +139789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.536779358,1 +139787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.175692025,1 +139790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.585432096,1 +139792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.077613417,1 +139793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.684047897,1 +139791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.227827955,1 +139794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,6.005454364,1 +139795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.147929568,1 +139796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.6183329,1 +139797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.644779261,1 +139798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.045047823,1 +139799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.296894288,1 +139801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.175647034,1 +139802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.936601806,1 +139803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,7.36051609,1 +139800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.027894234,1 +139806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.300133802,1 +139807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.853671449,1 +139804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.048307857,1 +139805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.719880245,1 +139808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.283916017,1 +139809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.083849109,1 +139810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.04861592,1 +139812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.059588853,1 +139811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.215651309,1 +139813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.173686038,1 +139814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.014605324,1 +139816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.219608984,1 +139818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.666302432,1 +139817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.919056015,1 +139815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.517401126,1 +139819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.557138244,1 +139821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.56098313,1 +139822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.761154749,1 +139820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.476554689,1 +139824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.031836262,1 +139825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.70352896,1 +139823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.038026789,1 +139827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.855706426,1 +139826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.947081314,1 +139828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.459471235,1 +139831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.791511321,1 +139829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.241653973,1 +139832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.756057441,1 +139830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.759256101,1 +139833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.094065709,1 +139834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.66215853,1 +139835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.568967263,1 +139836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.407027532,1 +139838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.111351224,1 +139839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.851629128,1 +139840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.372933604,1 +139841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.211910293,1 +139837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.812859567,1 +139842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.138008719,1 +139843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.611955889,1 +139846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.802814875,1 +139845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.378304277,1 +139844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.775151736,1 +139847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.849469732,1 +139849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.428454852,1 +139850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.230295716,1 +139851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.871922747,1 +139848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.771055787,1 +139853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.200789959,1 +139852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.558852846,1 +139854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.760508549,1 +139855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.511416795,1 +139856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.239216444,1 +139858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.922215182,1 +139859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.526984232,1 +139857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.641247368,1 +139861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,6.962189473,1 +139862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.645763853,1 +139860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.849752316,1 +139863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.046900138,1 +139865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.067338515,1 +139866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.504286703,1 +139864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.616269513,1 +139867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.25328109,1 +139869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.091995119,1 +139868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.651124001,1 +139870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.04342368,1 +139872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.213340026,1 +139873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.418072589,1 +139874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,6.565893108,1 +139875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.700624555,1 +139871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.038480904,1 +139876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.974488461,1 +139877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.344190628,1 +139878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.281680282,1 +139879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.474310834,1 +139880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,6.816339479,1 +139881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.078726278,1 +139882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.75340214,1 +139883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.89818427,1 +139884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.557247436,1 +139885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.786403998,1 +139887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,6.461685932,1 +139888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.571346127,1 +139886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.907004876,1 +139889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.731098528,1 +139890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.086180879,1 +139891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.796773214,1 +139893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.321156258,1 +139894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.836694458,1 +139895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.821665152,1 +139892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,6.187642279,1 +139896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.523843395,1 +139897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.977465595,1 +139898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.917093735,1 +139899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.966394868,1 +139900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.907115554,1 +139901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.133555231,1 +139902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.691049839,1 +139904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.867625097,1 +139903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.077482524,1 +139906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.45170779,1 +139905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.563412064,1 +139907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.139076219,1 +139908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.266796543,1 +139909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.617889478,1 +139910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.205443022,1 +139911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.548921081,1 +139912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.427531714,1 +139913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,8.456083181,1 +139916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.446801851,1 +139914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.453193059,1 +139915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.841881852,1 +139917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.253375115,1 +139918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.78326108,1 +139920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.072948098,1 +139921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.773198889,1 +139919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.773986062,1 +139922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.278623715,1 +139923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.858869399,1 +139924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.465001893,1 +139926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.99268212,1 +139925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.596970773,1 +139928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.037688754,1 +139927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.380540009,1 +139929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.041512723,1 +139931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.055279164,1 +139930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.577871649,1 +139932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.121297915,1 +139933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.825257943,1 +139934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.215689068,1 +139935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.483488473,1 +139936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.824566739,1 +139937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.578117906,1 +139938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.375660137,1 +139941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.510357398,1 +139939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.144304047,1 +139940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.376192557,1 +139942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.264655285,1 +139944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.876324884,1 +139946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.43033671,1 +139947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.589766044,1 +139943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.63467384,1 +139945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.118860167,1 +139948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.353318832,1 +139951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.493574161,1 +139950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.202387462,1 +139952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.460439381,1 +139949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.067790897,1 +139953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.68133731,1 +139954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.592127034,1 +139956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.826581084,1 +139958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.086015847,1 +139955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.466938769,1 +139957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.618539371,1 +139959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.119042383,1 +139961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.166677159,1 +139960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.369506108,1 +139963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.826564953,1 +139964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.284723429,1 +139962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,6.023610184,1 +139965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.203906729,1 +139967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.8785476,1 +139968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.55443959,1 +139966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.723564797,1 +139969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.987626406,1 +139971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.545229438,1 +139972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.238010657,1 +139970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.547171281,1 +139973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.930966964,1 +139975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.657038979,1 +139976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.40055809,1 +139974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.167583244,1 +139978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,7.785097045,1 +139979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.635404237,1 +139977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.511729056,1 +139981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.964587549,1 +139982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.664115614,1 +139983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.197874814,1 +139980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.966173989,1 +139985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.440501412,1 +139986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.00033828,1 +139987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.315832513,1 +139984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.321125485,1 +139988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.78192266,1 +139989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.684662386,1 +139991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,3.712412381,1 +139990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,1.661435708,1 +139992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,6.134377182,1 +139993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.201460101,1 +139994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.764080996,1 +139996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.626718442,1 +139998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,5.267901291,1 +139999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.052464733,1 +139995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.959855588,1 +139997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,4.443216368,1 +140000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.3,10,1,2.336766187,1 +149001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.580968623,1 +149002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.255960539,1 +149003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.712386264,1 +149004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.494507678,1 +149005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.628975233,1 +149006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.045969128,1 +149008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.595322148,1 +149009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.326470133,1 +149007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.356743221,1 +149010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.593760283,1 +149011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,6.543465286,1 +149012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.453444612,1 +149014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.371564778,1 +149013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.891088268,1 +149015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.751640574,1 +149016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.92605335,1 +149017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.059342291,1 +149018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,6.360749315,1 +149019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.840952345,1 +149020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,7.862031742,1 +149021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.212925723,1 +149022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.511506803,1 +149024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.503444662,1 +149023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,7.860296614,1 +149025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.743832483,1 +149026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.940864872,1 +149027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.851707487,1 +149028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,6.911048744,1 +149029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.798573319,1 +149031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.242842585,1 +149032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.660962839,1 +149033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.120630782,1 +149030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.063328546,1 +149034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.813564725,1 +149035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.741917562,1 +149036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.446964437,1 +149037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.533156484,1 +149040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.641993423,1 +149038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.44176718,1 +149039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.0784437,1 +149043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.758882465,1 +149042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.290595718,1 +149044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.080649274,1 +149041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.608508905,1 +149047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.446511105,1 +149045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.248134606,1 +149046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.765941039,1 +149050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.455120752,1 +149051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.738960372,1 +149049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.701473767,1 +149048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.68626161,1 +149053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.635318892,1 +149052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.58913797,1 +149054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.37809998,1 +149055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.014626726,1 +149057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.41926058,1 +149056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,7.799053637,1 +149058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.638991142,1 +149060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,0.929929279,1 +149061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.694819821,1 +149062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.126464867,1 +149059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.878783866,1 +149063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.065572143,1 +149065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.350154726,1 +149064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.523420959,1 +149067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.02773833,1 +149069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.149659196,1 +149068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.921918742,1 +149066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.996523944,1 +149070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.750238159,1 +149071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.57713557,1 +149072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.111683078,1 +149074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.919376586,1 +149073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.984258649,1 +149075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.814637179,1 +149076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.607244371,1 +149077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.206464124,1 +149079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.942811986,1 +149080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.723508687,1 +149078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.908361169,1 +149081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.232584341,1 +149082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.9784096,1 +149083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.820348964,1 +149084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.96630697,1 +149086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.951532217,1 +149085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.852140034,1 +149087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.899926998,1 +149090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.168575318,1 +149088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.164074127,1 +149089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.166145858,1 +149091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.123884199,1 +149092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.893664308,1 +149093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.149343182,1 +149094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.581260799,1 +149095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.001641808,1 +149096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.267390808,1 +149097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.547973957,1 +149098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.959348506,1 +149099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.550985726,1 +149100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.933112195,1 +149101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.223020019,1 +149103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.397969865,1 +149104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.552384537,1 +149106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.732611504,1 +149102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.194177314,1 +149105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.616257122,1 +149107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.772053699,1 +149108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.92936562,1 +149110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.95668317,1 +149111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.907518077,1 +149109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.435290086,1 +149112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.865312008,1 +149113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.321172199,1 +149115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.819086293,1 +149114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.997384692,1 +149116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.056014974,1 +149118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.594574083,1 +149117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,6.501749212,1 +149119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.483562687,1 +149120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,7.660136391,1 +149121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.948351732,1 +149123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.114682581,1 +149122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.777593162,1 +149124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.25365452,1 +149126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.073270799,1 +149127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.381649544,1 +149128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.411994389,1 +149125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.722497494,1 +149130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.136140903,1 +149129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.020197719,1 +149131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.615485131,1 +149132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.20378037,1 +149135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.08759366,1 +149134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.830885001,1 +149136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.030911355,1 +149137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.761696104,1 +149138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.702604221,1 +149139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.809285724,1 +149133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.312451565,1 +149140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.259861982,1 +149141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.992339193,1 +149143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.032671784,1 +149142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.20095191,1 +149145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.45269264,1 +149144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.43683891,1 +149147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.580238594,1 +149146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.709978925,1 +149150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.322082415,1 +149148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.28447583,1 +149149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.134307106,1 +149153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.756789503,1 +149152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.511561336,1 +149154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.632193003,1 +149151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.625861856,1 +149155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.818036479,1 +149157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,6.406758465,1 +149156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.22053004,1 +149159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.995453032,1 +149158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.007318031,1 +149160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.142929014,1 +149161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.426591158,1 +149164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.798446217,1 +149163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.058357628,1 +149162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,7.717021528,1 +149165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.881493519,1 +149166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.17595126,1 +149168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.000373619,1 +149167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.987129535,1 +149169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.441986477,1 +149170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.690068207,1 +149171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.403600256,1 +149173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.735392954,1 +149175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.867816309,1 +149172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.510896468,1 +149174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.565407337,1 +149176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.447087203,1 +149177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,8.229133543,1 +149178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,6.082061804,1 +149179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,6.35670569,1 +149180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.946736142,1 +149181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.652346344,1 +149182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.58596057,1 +149183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.778393311,1 +149184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.417788341,1 +149185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.296814608,1 +149187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.695156413,1 +149186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.661296317,1 +149188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.969907332,1 +149189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.340846256,1 +149190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.480334918,1 +149192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.77634288,1 +149193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.376071466,1 +149191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.397212158,1 +149195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.805889436,1 +149194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.15042688,1 +149196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.157984728,1 +149197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.119945416,1 +149199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.333258462,1 +149198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.102580102,1 +149200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.061269475,1 +149201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.340960666,1 +149203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.144565292,1 +149202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.771805149,1 +149204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.203199109,1 +149206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.915702226,1 +149207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.471095522,1 +149208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.271719195,1 +149205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.557854113,1 +149209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.358254476,1 +149210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.08412829,1 +149211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.441725777,1 +149212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.275933835,1 +149213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.326531662,1 +149214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.686299928,1 +149215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.906116597,1 +149216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.016533619,1 +149217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.568811928,1 +149218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.132047518,1 +149219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.91947927,1 +149220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.079799398,1 +149222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.815925367,1 +149221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.892938067,1 +149223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.376108736,1 +149225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.060849834,1 +149226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.803088128,1 +149227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.080963241,1 +149228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.267685465,1 +149229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.416006491,1 +149230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.941372436,1 +149224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.268752978,1 +149231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.266389687,1 +149232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.083840803,1 +149233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.808707253,1 +149235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.395524673,1 +149234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.008811686,1 +149236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.236479036,1 +149237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.177440456,1 +149239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.727659735,1 +149238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.666249132,1 +149240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,6.06588977,1 +149241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.73296909,1 +149243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.703492081,1 +149242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.61657049,1 +149245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,6.029975403,1 +149244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.664910855,1 +149246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.977822852,1 +149248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.880898688,1 +149249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.824178218,1 +149250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.974555543,1 +149252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.971356049,1 +149247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.507637491,1 +149251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.614348441,1 +149253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.711619181,1 +149254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.932785539,1 +149255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.822822963,1 +149256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.457436032,1 +149257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.260958479,1 +149258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,6.054063856,1 +149259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.351114069,1 +149260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.062424792,1 +149261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.030740254,1 +149262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.128719463,1 +149264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.88737676,1 +149265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.027242459,1 +149266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.21547894,1 +149267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.641660204,1 +149263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.064926058,1 +149268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.803721172,1 +149269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.24126872,1 +149270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,6.579793074,1 +149272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.91012695,1 +149271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,7.133279645,1 +149273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.258108396,1 +149275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.822325216,1 +149274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.076566539,1 +149276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.653563542,1 +149277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.885744733,1 +149279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.110119215,1 +149278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.75245671,1 +149281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.376528755,1 +149280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.533740022,1 +149282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.093598652,1 +149283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.764030856,1 +149284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.310319054,1 +149286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.25703968,1 +149288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.626157294,1 +149287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.194269808,1 +149285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.587582454,1 +149289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.73408964,1 +149290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.042002006,1 +149291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.485350716,1 +149292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.499173645,1 +149293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,6.012006625,1 +149294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.245353929,1 +149295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.653004111,1 +149297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.638037647,1 +149299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.266057275,1 +149298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.063016955,1 +149296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.19924809,1 +149300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.204819916,1 +149302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.860567709,1 +149304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.113982241,1 +149303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.893816079,1 +149305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.70675714,1 +149301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.079398992,1 +149306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.967949048,1 +149308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.291118338,1 +149310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.904227286,1 +149309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.77076994,1 +149307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.10488491,1 +149313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.894590282,1 +149311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.577023457,1 +149312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.077452663,1 +149315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.445585041,1 +149314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.095469635,1 +149317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.865115593,1 +149316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.18071759,1 +149319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.75594034,1 +149321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.776007245,1 +149320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.564402289,1 +149318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.615529965,1 +149324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.948150799,1 +149323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.733162075,1 +149325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.473457089,1 +149326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.481229481,1 +149327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,8.157774024,1 +149322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,6.066063946,1 +149328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.373457015,1 +149330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.117703779,1 +149329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.320130932,1 +149332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.822313122,1 +149331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.973444158,1 +149333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.858468594,1 +149334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.92526231,1 +149336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.448173411,1 +149337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.028676332,1 +149338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.542246676,1 +149335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,7.702134689,1 +149339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.905901264,1 +149340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.435731021,1 +149341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.171509374,1 +149342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.976492084,1 +149343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.38766048,1 +149346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.835476271,1 +149344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.66924427,1 +149345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.302835812,1 +149348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.519370701,1 +149349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.69488516,1 +149350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.062251837,1 +149347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.934763887,1 +149351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,6.296364595,1 +149352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.247692543,1 +149354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,7.199338505,1 +149355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.381351006,1 +149356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.522622297,1 +149353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.389473375,1 +149357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.465520565,1 +149360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,6.178933981,1 +149358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.160564584,1 +149359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.931657158,1 +149362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.286301139,1 +149363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.166772792,1 +149364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.865851107,1 +149361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.550034781,1 +149365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.587853277,1 +149366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,7.242687795,1 +149367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.533271643,1 +149369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.211010325,1 +149370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.382688853,1 +149368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.239747695,1 +149371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.837589352,1 +149373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.791057518,1 +149374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.734217865,1 +149372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.948895965,1 +149375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.468262317,1 +149377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.280072409,1 +149376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.394656052,1 +149379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.28219686,1 +149378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.596624292,1 +149381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.689939012,1 +149383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.41984549,1 +149382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.640152611,1 +149380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.268446794,1 +149384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.32320768,1 +149386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.519372277,1 +149385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.492215206,1 +149388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.305425411,1 +149387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.090597051,1 +149389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.231990295,1 +149390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.263111399,1 +149391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.685519202,1 +149392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.05788778,1 +149393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.558349729,1 +149394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.776462127,1 +149395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.373144317,1 +149397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.864265776,1 +149398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,7.879977768,1 +149399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.896291212,1 +149400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.011725892,1 +149401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.441338081,1 +149396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.551233631,1 +149402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.050787808,1 +149403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.056291311,1 +149405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.818964072,1 +149404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.504956049,1 +149406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.983683089,1 +149407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.143975536,1 +149408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.851883802,1 +149410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.468078643,1 +149409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.10740409,1 +149411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.49464175,1 +149413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.48226403,1 +149412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.172204234,1 +149414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.209918107,1 +149415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,9.975151416,1 +149416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.292583693,1 +149417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.288037771,1 +149419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.311312984,1 +149418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.572686115,1 +149420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.181674302,1 +149421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.119152257,1 +149422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.600345586,1 +149423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.206646837,1 +149424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.840720441,1 +149425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.861279266,1 +149426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.210769053,1 +149428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.449766137,1 +149429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.6654814,1 +149427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.784641788,1 +149430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.934453592,1 +149431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.359142685,1 +149434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.203315573,1 +149432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.160517615,1 +149433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.453109376,1 +149437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.81327119,1 +149435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.355725501,1 +149436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.536348634,1 +149439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.073044132,1 +149440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.226404926,1 +149438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.750277225,1 +149441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.873878262,1 +149442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.914188757,1 +149443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.409971349,1 +149446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.443065767,1 +149445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.325458331,1 +149447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.016220191,1 +149444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.940751742,1 +149449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,6.162065671,1 +149448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.003930542,1 +149450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.465410921,1 +149451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.462377765,1 +149453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.410214344,1 +149452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.826445112,1 +149454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.056694886,1 +149456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.811922353,1 +149457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.378703494,1 +149458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.505071401,1 +149459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.070420083,1 +149460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.623364531,1 +149461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.108333244,1 +149455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.446911668,1 +149462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.966098449,1 +149463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.560021159,1 +149464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.204607328,1 +149465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.544220762,1 +149467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.590033115,1 +149466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.185185568,1 +149469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.625155236,1 +149468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.170818448,1 +149471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.165352042,1 +149472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.155011992,1 +149473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.524097824,1 +149474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.51330475,1 +149470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.265770099,1 +149476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.740241221,1 +149477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.979080743,1 +149478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.86092667,1 +149479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.009462776,1 +149475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.697356989,1 +149480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.426057841,1 +149481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.36896711,1 +149482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.535646906,1 +149483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.739587596,1 +149484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.270872499,1 +149485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.68574916,1 +149486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.124269574,1 +149487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.558542363,1 +149488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.748699258,1 +149490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,6.048602373,1 +149491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.521261153,1 +149492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.798529549,1 +149493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.038803,1 +149489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.471069166,1 +149495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.295220803,1 +149496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.38030862,1 +149497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.423289843,1 +149494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.776184378,1 +149498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.592264668,1 +149499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.929758999,1 +149500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.696082261,1 +149502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.713779891,1 +149501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.153767769,1 +149503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.24361515,1 +149504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.336981588,1 +149505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.963496713,1 +149506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.160219286,1 +149507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.796789592,1 +149509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.773284623,1 +149510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.644760544,1 +149511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.313458014,1 +149508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.647614323,1 +149512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.521345796,1 +149514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.500469818,1 +149513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.938295938,1 +149515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.131113331,1 +149517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.324705554,1 +149516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.236929926,1 +149518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.08268874,1 +149519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.241355075,1 +149520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.289406916,1 +149521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.733462189,1 +149522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.403893779,1 +149523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.373072488,1 +149525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.691435886,1 +149524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.218908284,1 +149527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.37920473,1 +149528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.438674122,1 +149529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.495058996,1 +149526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,6.033007635,1 +149530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.247333418,1 +149532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.325597953,1 +149531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.184359551,1 +149534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.940754978,1 +149535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.242707711,1 +149533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.763638342,1 +149536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.972705976,1 +149537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.721464127,1 +149538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.685815076,1 +149540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.389469644,1 +149539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.588532673,1 +149542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.720066935,1 +149541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.490845816,1 +149543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.637429139,1 +149546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.262762416,1 +149545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.889679858,1 +149544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,8.513514947,1 +149547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.329212485,1 +149549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.081103859,1 +149548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.344670675,1 +149551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.4224423,1 +149552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.59283217,1 +149553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.945907937,1 +149550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.045716091,1 +149554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.159114327,1 +149557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.552849178,1 +149555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.088370162,1 +149556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.933814633,1 +149558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.811164045,1 +149560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.386434801,1 +149561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.103492969,1 +149559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.259512797,1 +149562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,9.41652531,1 +149563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.881230681,1 +149566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.558471084,1 +149565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.942875911,1 +149564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.07804546,1 +149567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.456100147,1 +149568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.566693698,1 +149570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.829900181,1 +149571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,7.175305873,1 +149573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.395261811,1 +149572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.467849713,1 +149569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.346762115,1 +149574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.170718379,1 +149575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.760064636,1 +149576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.396001999,1 +149577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.212410939,1 +149578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.829118246,1 +149579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.846177331,1 +149580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.440972912,1 +149581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.305010539,1 +149583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.263936799,1 +149584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.586046532,1 +149582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.874119491,1 +149585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.639127401,1 +149587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.52778941,1 +149586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.888724738,1 +149588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.553031621,1 +149590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.565625424,1 +149589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.512126629,1 +149591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.200971186,1 +149592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.950097854,1 +149593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.053664199,1 +149595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.071173066,1 +149596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.75511809,1 +149594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.817539073,1 +149597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.350667871,1 +149598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.53308282,1 +149599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.328506732,1 +149600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.371284791,1 +149601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.01303837,1 +149602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.285216647,1 +149603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.987485916,1 +149605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.589769859,1 +149607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,6.946550021,1 +149606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.782623434,1 +149608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.659716567,1 +149604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.933571661,1 +149610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.951286313,1 +149609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.515001641,1 +149611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.916269732,1 +149613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.056032727,1 +149614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.593128608,1 +149612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.844303607,1 +149615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.969006506,1 +149616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.901045412,1 +149617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.722606622,1 +149619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.085920039,1 +149618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.316918776,1 +149621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.39638944,1 +149620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.003820165,1 +149622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.976608559,1 +149624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.57101009,1 +149623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.124168324,1 +149625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.259458925,1 +149626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.678218392,1 +149627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.673420673,1 +149629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.180933927,1 +149630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.224993111,1 +149631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.644661236,1 +149632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.082255762,1 +149633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.090760407,1 +149628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.920324555,1 +149635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.56250877,1 +149634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.07056856,1 +149636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.822173585,1 +149637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.347281232,1 +149639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.64143382,1 +149638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.715230389,1 +149640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.42262974,1 +149641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.513671553,1 +149642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.1209546,1 +149643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.658057147,1 +149644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.161809435,1 +149645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.458978434,1 +149646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.596515706,1 +149647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.686318669,1 +149649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.12169105,1 +149651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.608561678,1 +149650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.866865676,1 +149648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.090601898,1 +149652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.11756122,1 +149653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.761727202,1 +149654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.758715634,1 +149655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.542488673,1 +149656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.542572135,1 +149658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.339522413,1 +149657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.752063131,1 +149660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.858257729,1 +149659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.882848397,1 +149662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.656151294,1 +149661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.845875449,1 +149664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.746311689,1 +149663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,6.186583166,1 +149666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.575608897,1 +149665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.09465554,1 +149670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.680753812,1 +149669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.178622307,1 +149667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.317408092,1 +149671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.513638815,1 +149672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.063790746,1 +149674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.671715564,1 +149668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.71949894,1 +149675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,6.457307893,1 +149673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.96137638,1 +149676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.653405517,1 +149679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.513167621,1 +149677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.271342556,1 +149678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.628571228,1 +149680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.511707735,1 +149682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.307286765,1 +149683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.191121877,1 +149685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.437100876,1 +149684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.084982045,1 +149681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.732527369,1 +149686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.446377305,1 +149688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.759400354,1 +149690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.162394702,1 +149689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.208057579,1 +149691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.595632884,1 +149687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.671387449,1 +149692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.3708527,1 +149693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.766570281,1 +149695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.164472174,1 +149694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,6.407973487,1 +149697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,11.19419221,1 +149698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.092496343,1 +149696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.836651729,1 +149701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.166546272,1 +149699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.661462714,1 +149702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.375487535,1 +149703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.318661731,1 +149704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.377390583,1 +149705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.285992291,1 +149700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.474231368,1 +149708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.743560423,1 +149707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.627784618,1 +149706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.744072223,1 +149709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.048171872,1 +149710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.490892004,1 +149711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.456655592,1 +149712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.855836588,1 +149713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.873540709,1 +149714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.184359151,1 +149715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.432895426,1 +149716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,7.870116355,1 +149718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.629014513,1 +149717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.380147213,1 +149719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.292815125,1 +149720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.69954687,1 +149721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.045641311,1 +149723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.527821479,1 +149725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.847089649,1 +149724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.84251327,1 +149722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.147989174,1 +149726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.911877902,1 +149728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.626845396,1 +149727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,0.925792659,1 +149730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.522047583,1 +149729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.762163454,1 +149731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,6.319362777,1 +149732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.295812855,1 +149733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.837821784,1 +149734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.312129109,1 +149735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.854831153,1 +149736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.26114184,1 +149737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.800570167,1 +149738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.922684168,1 +149739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.118003365,1 +149740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.836446048,1 +149741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.068213994,1 +149742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.713091382,1 +149743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.782857655,1 +149745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.779867431,1 +149746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.75272568,1 +149747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.325272808,1 +149748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.548161197,1 +149749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.110110907,1 +149744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.867661721,1 +149750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.447715586,1 +149751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.194853633,1 +149753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.329042118,1 +149754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.86260861,1 +149752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.811924817,1 +149755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.041915947,1 +149756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.714380829,1 +149757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.938038519,1 +149758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.489071821,1 +149759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.592870749,1 +149760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.203822977,1 +149761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.195354242,1 +149762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,6.024485704,1 +149763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.496116865,1 +149765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,7.460972576,1 +149766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.423791421,1 +149764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.715452269,1 +149767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.823458661,1 +149768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.704255423,1 +149769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.442256999,1 +149770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.026340357,1 +149771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.716747731,1 +149772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.399750113,1 +149773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.975813857,1 +149775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.803513847,1 +149774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.263385083,1 +149776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.721412271,1 +149778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.902044278,1 +149777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,7.829810034,1 +149779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.070706512,1 +149780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.279820713,1 +149781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.350405236,1 +149782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.448444474,1 +149783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.843272663,1 +149786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,7.021998723,1 +149784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.460465276,1 +149787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.373085456,1 +149785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.372309578,1 +149789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.742842071,1 +149788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.887043784,1 +149791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.508710441,1 +149790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.732482324,1 +149792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.040807966,1 +149795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.821845764,1 +149794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.375776323,1 +149793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.277083829,1 +149796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.823789066,1 +149797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.714134572,1 +149798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.586214467,1 +149801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.289996647,1 +149799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.427281577,1 +149802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.765727093,1 +149800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.10254742,1 +149803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.65846084,1 +149804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.713320353,1 +149806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.532322822,1 +149805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.364080088,1 +149807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.823611609,1 +149810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.139190102,1 +149809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.095969833,1 +149811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.231067146,1 +149808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.902222865,1 +149812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.340449139,1 +149813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.430171667,1 +149814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,6.178486603,1 +149815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.924510029,1 +149817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.969201327,1 +149816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.136999867,1 +149818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.490361647,1 +149819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.879535991,1 +149820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.361206431,1 +149821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.1244055,1 +149822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.060838025,1 +149824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.591836826,1 +149825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.556827266,1 +149826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.755996101,1 +149827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,6.920283679,1 +149828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,0.660140694,1 +149823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.0035954,1 +149829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.703985931,1 +149831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.679154782,1 +149832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.117799352,1 +149830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,8.059260621,1 +149833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.813211393,1 +149834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.654400138,1 +149835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.314162302,1 +149836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.582479622,1 +149837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.14404931,1 +149838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.121762811,1 +149839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.612630052,1 +149840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.960272338,1 +149841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.127422042,1 +149842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.880078679,1 +149844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.758193806,1 +149845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.83292839,1 +149846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.830436818,1 +149847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.067048033,1 +149843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.77406438,1 +149848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.123372993,1 +149849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.142549909,1 +149850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.548621592,1 +149851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.720530595,1 +149852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.827883444,1 +149853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.283898918,1 +149854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.524194508,1 +149856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.967667872,1 +149855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.742995625,1 +149857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.918759971,1 +149858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.276837778,1 +149859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.331877934,1 +149861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.230528131,1 +149862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,6.523004848,1 +149860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.384645402,1 +149864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.85765189,1 +149863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.855474224,1 +149865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.617198809,1 +149866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.859232523,1 +149868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.236011134,1 +149867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.019221579,1 +149869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.741832601,1 +149870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.207960491,1 +149871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.136707703,1 +149872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,6.16205255,1 +149873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.765965073,1 +149875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,10.2509664,1 +149874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.765059377,1 +149876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.118268384,1 +149877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.95349466,1 +149878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.277821394,1 +149880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.597922377,1 +149881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,10.32127858,1 +149882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.281424025,1 +149879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.016830328,1 +149883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.290136868,1 +149884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.356783093,1 +149885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,6.373025591,1 +149887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.781676579,1 +149888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.942457188,1 +149889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.948601416,1 +149886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.995771089,1 +149890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.409932838,1 +149891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.0387889,1 +149892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.849877331,1 +149893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.972196646,1 +149894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.521059477,1 +149895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.119419669,1 +149896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.352684082,1 +149898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.991754286,1 +149897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.155121863,1 +149899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.429207605,1 +149900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.306304682,1 +149901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.70231351,1 +149903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.608557662,1 +149904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.765128206,1 +149905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.55418007,1 +149906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.184576299,1 +149902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.203607148,1 +149907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.480600287,1 +149910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.524743229,1 +149908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.866792056,1 +149909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.425640272,1 +149911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.167231541,1 +149912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.737491064,1 +149913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.607785832,1 +149914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.558141506,1 +149915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.990343313,1 +149917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.30553506,1 +149918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.580124454,1 +149916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.718865408,1 +149919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.575382584,1 +149920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.737020242,1 +149921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.430640555,1 +149923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.574823629,1 +149924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.403123964,1 +149925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.623113223,1 +149922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.45483911,1 +149927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.855512075,1 +149926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.716862335,1 +149928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.53107919,1 +149929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.065850044,1 +149930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.789358805,1 +149931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.648942596,1 +149934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.432492879,1 +149932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.87965622,1 +149935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.984485967,1 +149933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.868860656,1 +149936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.946484729,1 +149937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.429648356,1 +149938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.97846779,1 +149939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.481516222,1 +149941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.556192211,1 +149942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.088048103,1 +149940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.52942888,1 +149943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.414214365,1 +149944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.192395832,1 +149945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.977142137,1 +149946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.505336769,1 +149948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.676567801,1 +149949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.503473376,1 +149947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.317051464,1 +149950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.49194333,1 +149952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.92819424,1 +149951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.495533176,1 +149953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.982216604,1 +149954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.831784057,1 +149955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.047593727,1 +149956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.43146901,1 +149958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.991041586,1 +149960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.784103571,1 +149959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.410990564,1 +149961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,6.783888116,1 +149962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.57312676,1 +149963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.71676426,1 +149957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.19781055,1 +149964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.41228264,1 +149965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.455542758,1 +149966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.107799871,1 +149967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.712732863,1 +149968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.631873347,1 +149970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.076037343,1 +149969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.187999288,1 +149971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.42528284,1 +149973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.336955882,1 +149974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.097231494,1 +149975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.83705741,1 +149972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.277494759,1 +149976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.349808877,1 +149977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.808085456,1 +149980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.433410307,1 +149981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.701208108,1 +149979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.83920318,1 +149978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.121327515,1 +149983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.383947742,1 +149982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.188136778,1 +149984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.722134784,1 +149988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.252362636,1 +149985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.369888071,1 +149987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.063032853,1 +149986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.822679843,1 +149989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.042614644,1 +149991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.679199725,1 +149990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.053969804,1 +149992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.504411039,1 +149994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.81518565,1 +149996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,5.489527256,1 +149995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,6.139605237,1 +149993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,3.841348282,1 +149997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.665733448,1 +149998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,4.345077781,1 +149999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,2.047501929,1 +150000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.4,10,1,1.974161355,1 +159002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.669260196,0.999 +159001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.214622161,0.999 +159003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.730703258,0.999 +159004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.262788052,0.999 +159005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.358063264,0.999 +159007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.488295673,0.999 +159008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.065722861,0.999 +159009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.832620328,0.999 +159010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.202426074,0.999 +159006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.232247676,0.999 +159011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.258761196,0.999 +159012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.110759311,0.999 +159013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.961880516,0.999 +159017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.829706176,0.999 +159015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.799898615,0.999 +159014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.603109976,0.999 +159018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.087631007,0.999 +159019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.249038621,0.999 +159016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.705124953,0.999 +159020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.39156743,0.999 +159021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.922565979,0.999 +159022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.982962927,0.999 +159023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.80412961,0.999 +159024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.550920235,0.999 +159025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.222353643,0.999 +159026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.068632098,0.999 +159027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.24508603,0.999 +159030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.788873276,0.999 +159029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.538488454,0.999 +159031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.709872168,0.999 +159028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,7.530966419,0.999 +159032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.70024912,0.999 +159034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.127402709,0.999 +159033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.196530628,0.999 +159035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.501502254,0.999 +159036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.754657307,0.999 +159037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.493754781,0.999 +159038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.779857021,0.999 +159039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.199123091,0.999 +159041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.628950671,0.999 +159040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.905582147,0.999 +159042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.638346982,0.999 +159043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.039898303,0.999 +159045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.393612396,0.999 +159044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.57932065,0.999 +159046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,9.91417105,0.999 +159048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.864511345,0.999 +159049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.592825363,0.999 +159047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.482969945,0.999 +159051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.855290969,0.999 +159052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.622702263,0.999 +159053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.75016828,0.999 +159054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.671609637,0.999 +159050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.001521575,0.999 +159055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.739562882,0.999 +159056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.784136594,0.999 +159057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.424388167,0.999 +159059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,10.08516954,0.999 +159058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.567024067,0.999 +159060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.872674867,0.999 +159061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.264281751,0.999 +159063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.724335441,0.999 +159062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.117609967,0.999 +159064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.351949045,0.999 +159065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.735689556,0.999 +159066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,8.413613127,0.999 +159067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.106249432,0.999 +159068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,7.303643175,0.999 +159070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.926363526,0.999 +159071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.651856823,0.999 +159072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.180187579,0.999 +159073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,0.222209336,0.999 +159074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.407789138,0.999 +159069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.776103745,0.999 +159075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.053097758,0.999 +159076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.149212895,0.999 +159078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.994890269,0.999 +159077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.907852041,0.999 +159079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.478177309,0.999 +159080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.787929386,0.999 +159081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.530162636,0.999 +159082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,7.319932748,0.999 +159083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.034085266,0.999 +159084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.155857111,0.999 +159085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.504624218,0.999 +159086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.419404444,0.999 +159087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.559166046,0.999 +159089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.265563742,0.999 +159090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.154163779,0.999 +159088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.850256829,0.999 +159091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.558957938,0.999 +159092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.930370242,0.999 +159093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.180180655,0.999 +159094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.784614153,0.999 +159096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.153724377,0.999 +159097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.022396292,0.999 +159095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.217998099,0.999 +159098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.324036006,0.999 +159099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.939621264,0.999 +159100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,8.090273951,0.999 +159102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.978343957,0.999 +159103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.48030037,0.999 +159101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.677281446,0.999 +159104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.531193634,0.999 +159106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.220094021,0.999 +159105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.909862586,0.999 +159107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.738767619,0.999 +159108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.5312159,0.999 +159109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.251690972,0.999 +159110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.81851269,0.999 +159112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.674349986,0.999 +159111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.528935791,0.999 +159113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,0.867900025,0.999 +159114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.863744455,0.999 +159115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.260683543,0.999 +159117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.601251098,0.999 +159118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.687370961,0.999 +159119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.494150195,0.999 +159120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.698611262,0.999 +159121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.501360541,0.999 +159116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.445835133,0.999 +159122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.445740177,0.999 +159123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.284935894,0.999 +159124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.767340719,0.999 +159126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.567275742,0.999 +159125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.932409192,0.999 +159127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.465722458,0.999 +159128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.007381579,0.999 +159129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.551176395,0.999 +159130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.190299471,0.999 +159131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.602742045,0.999 +159132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.5777238,0.999 +159133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.048290373,0.999 +159135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.946057399,0.999 +159136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.974922498,0.999 +159137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.165212608,0.999 +159134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.171594173,0.999 +159139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.497965335,0.999 +159138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.75777659,0.999 +159140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.068166486,0.999 +159141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.716537192,0.999 +159142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.921672699,0.999 +159144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.587571618,0.999 +159143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.739771414,0.999 +159145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.180679481,0.999 +159146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.594036828,0.999 +159147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.687213304,0.999 +159148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.092185293,0.999 +159149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.871563941,0.999 +159150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.343015234,0.999 +159151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.752973402,0.999 +159152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.739267629,0.999 +159154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.572976292,0.999 +159155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,8.830973545,0.999 +159153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.648370963,0.999 +159157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.726342994,0.999 +159158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.280421877,0.999 +159156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.458751079,0.999 +159159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.398424614,0.999 +159160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.540776526,0.999 +159161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.357158743,0.999 +159163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.75208384,0.999 +159164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,8.192882684,0.999 +159162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.39800124,0.999 +159165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.579572965,0.999 +159166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.962978092,0.999 +159168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.681413462,0.999 +159167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.172442819,0.999 +159169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.421780208,0.999 +159171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.108565162,0.999 +159172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.961154465,0.999 +159170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.242742254,0.999 +159173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.364556374,0.999 +159174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.148307108,0.999 +159175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.765706952,0.999 +159176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.00593643,0.999 +159177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.056307097,0.999 +159179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.764712197,0.999 +159181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.35266944,0.999 +159180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.329102775,0.999 +159182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.422541981,0.999 +159183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.683809843,0.999 +159184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.890374814,0.999 +159178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.624476343,0.999 +159185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.077123921,0.999 +159188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,7.898696629,0.999 +159186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.795817185,0.999 +159187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.60143866,0.999 +159190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.195459205,0.999 +159191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.916255117,0.999 +159189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.164277215,0.999 +159193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.428251462,0.999 +159194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.710197048,0.999 +159195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.084454583,0.999 +159192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.478429227,0.999 +159197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.848457746,0.999 +159198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.849346233,0.999 +159199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.867077024,0.999 +159196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.606205118,0.999 +159201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.050310221,0.999 +159200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.995151221,0.999 +159202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.987826841,0.999 +159203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.534862731,0.999 +159204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.375575514,0.999 +159205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.597605718,0.999 +159207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.699917938,0.999 +159208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.960726253,0.999 +159209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.44059277,0.999 +159210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.449795827,0.999 +159211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.824095464,0.999 +159212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.385403174,0.999 +159206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.993540062,0.999 +159213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.287200284,0.999 +159214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.614362686,0.999 +159215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.591420262,0.999 +159216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.893677846,0.999 +159219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.943368957,0.999 +159217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,0.822310246,0.999 +159218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.873263414,0.999 +159220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.874326701,0.999 +159221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.661943923,0.999 +159222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.244585378,0.999 +159223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.047832527,0.999 +159225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.824447857,0.999 +159226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.357349644,0.999 +159227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.367823027,0.999 +159224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,11.3615768,0.999 +159230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.992385024,0.999 +159228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.097810309,0.999 +159229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.005312556,0.999 +159232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.134584349,0.999 +159231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.338675119,0.999 +159233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.722600381,0.999 +159234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.268462279,0.999 +159235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.317150528,0.999 +159236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.055620065,0.999 +159237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.183065846,0.999 +159238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.302481557,0.999 +159240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,15.10929169,0.999 +159241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.242995576,0.999 +159239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.294474288,0.999 +159242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.696101028,0.999 +159245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.992359352,0.999 +159246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.445969816,0.999 +159244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.085416832,0.999 +159243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.401210604,0.999 +159248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.030875306,0.999 +159249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.998844376,0.999 +159250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.053793364,0.999 +159251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.4273637,0.999 +159247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.077409084,0.999 +159252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.111575797,0.999 +159253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.780644292,0.999 +159254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.194608146,0.999 +159256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.928206276,0.999 +159255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.098137177,0.999 +159257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.686176068,0.999 +159258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.78293793,0.999 +159260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.086582563,0.999 +159259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.714284222,0.999 +159263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.391481952,0.999 +159264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.104708929,0.999 +159261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.951890636,0.999 +159262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.087842142,0.999 +159266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.344013328,0.999 +159267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.483840786,0.999 +159268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.63444782,0.999 +159265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,0.037009889,0.999 +159269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.01700044,0.999 +159270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,13.22827585,0.999 +159271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.125308833,0.999 +159273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.858049296,0.999 +159275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.331900818,0.999 +159272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.801825017,0.999 +159274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.841302356,0.999 +159278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.951744749,0.999 +159277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.043213581,0.999 +159276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.992898486,0.999 +159279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.567087946,0.999 +159281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.00944257,0.999 +159280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.997198471,0.999 +159282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.724240421,0.999 +159283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.132328993,0.999 +159284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.236980153,0.999 +159285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.75746369,0.999 +159286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.577018033,0.999 +159287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.956699013,0.999 +159289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.786356217,0.999 +159290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,9.029539865,0.999 +159288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.057277378,0.999 +159292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.929336084,0.999 +159293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.619578817,0.999 +159294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.053449395,0.999 +159291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.726743812,0.999 +159295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.501368626,0.999 +159296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.504507312,0.999 +159297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.279594199,0.999 +159299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.347820086,0.999 +159300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.461439028,0.999 +159298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.611047086,0.999 +159301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.064750026,0.999 +159302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.811276098,0.999 +159303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.825172166,0.999 +159306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.012125142,0.999 +159304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.679616884,0.999 +159305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.934290393,0.999 +159307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.100819853,0.999 +159308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.235310819,0.999 +159309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.676397017,0.999 +159310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.757301533,0.999 +159311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.617106199,0.999 +159312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.38609577,0.999 +159314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.461059916,0.999 +159315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.444339791,0.999 +159316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.105350532,0.999 +159317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.210036827,0.999 +159318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.395363031,0.999 +159313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.397847461,0.999 +159319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.281720676,0.999 +159320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.96903567,0.999 +159322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.647498411,0.999 +159321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.793233368,0.999 +159323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.65792287,0.999 +159324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.534555261,0.999 +159325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.237556377,0.999 +159326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.244441444,0.999 +159327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.832187393,0.999 +159328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.992995444,0.999 +159329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.224593406,0.999 +159330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.484456123,0.999 +159331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.540724797,0.999 +159332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.536369297,0.999 +159334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.132419711,0.999 +159335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.192558615,0.999 +159336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.668126188,0.999 +159333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.387957917,0.999 +159337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.309036819,0.999 +159338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.505191517,0.999 +159339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.543193195,0.999 +159340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.846624362,0.999 +159341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.951297923,0.999 +159342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.861335342,0.999 +159343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.13051879,0.999 +159345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.131400913,0.999 +159344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.881276495,0.999 +159346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.44223985,0.999 +159347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.237274634,0.999 +159348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.179507431,0.999 +159349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.034888418,0.999 +159350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.390025561,0.999 +159351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.283580174,0.999 +159352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.199114123,0.999 +159355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.844956703,0.999 +159354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.579788049,0.999 +159353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.125039943,0.999 +159357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.390568774,0.999 +159358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.011949538,0.999 +159359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.523020441,0.999 +159360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.492923619,0.999 +159356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.463430764,0.999 +159361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.139718971,0.999 +159363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.029795663,0.999 +159364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,9.007739826,0.999 +159365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.763049382,0.999 +159362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.405203519,0.999 +159366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.356153248,0.999 +159367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.603100166,0.999 +159368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.586122399,0.999 +159370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.166828665,0.999 +159371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.035494264,0.999 +159372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.92374862,0.999 +159369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.737477975,0.999 +159374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.786086078,0.999 +159375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.036366036,0.999 +159376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.678756147,0.999 +159377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.18047844,0.999 +159378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.517306082,0.999 +159379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.9231429,0.999 +159380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.826214224,0.999 +159373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.031456343,0.999 +159381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.020434618,0.999 +159382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.991649859,0.999 +159384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.616129902,0.999 +159383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.316963743,0.999 +159385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.589440759,0.999 +159387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.018546372,0.999 +159389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.511665793,0.999 +159388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.641473772,0.999 +159390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.822933216,0.999 +159391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.687837947,0.999 +159392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.414001271,0.999 +159394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.742925163,0.999 +159395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.123958524,0.999 +159386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.703480867,0.999 +159398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.741325642,0.999 +159393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.251537458,0.999 +159397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.990369197,0.999 +159396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.962419647,0.999 +159399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.744079767,0.999 +159400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.534046878,0.999 +159402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.037654771,0.999 +159401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.428291721,0.999 +159404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.488965582,0.999 +159403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.629873868,0.999 +159406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.949603018,0.999 +159405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.470177355,0.999 +159407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.309664595,0.999 +159409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.335769528,0.999 +159410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.970280237,0.999 +159408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.938487179,0.999 +159412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.881119663,0.999 +159411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.688612554,0.999 +159413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.483785983,0.999 +159414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,9.914560732,0.999 +159416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.49701302,0.999 +159417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.37363118,0.999 +159415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.598776284,0.999 +159418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.997292528,0.999 +159419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.50901441,0.999 +159420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.281995404,0.999 +159423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.651364924,0.999 +159421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.026129411,0.999 +159422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.036826229,0.999 +159424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.219376428,0.999 +159425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.645758954,0.999 +159428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.009285715,0.999 +159426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.88324879,0.999 +159427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.610853619,0.999 +159429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.122738657,0.999 +159431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.90367917,0.999 +159430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.273030169,0.999 +159432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,7.992272885,0.999 +159433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.550982458,0.999 +159435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.657043246,0.999 +159437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.95335669,0.999 +159434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.364571502,0.999 +159436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.100585751,0.999 +159438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.326860321,0.999 +159439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.402836921,0.999 +159441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.180407356,0.999 +159442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.298353141,0.999 +159440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.503988113,0.999 +159443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.921382147,0.999 +159445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.05061799,0.999 +159444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.765809317,0.999 +159446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.45326678,0.999 +159447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,0.976686647,0.999 +159448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.409110075,0.999 +159450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.604734559,0.999 +159449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.577995274,0.999 +159451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.330599972,0.999 +159452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,0.834847486,0.999 +159453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,0.365035234,0.999 +159456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.546723838,0.999 +159455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.371034296,0.999 +159454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.574763859,0.999 +159460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.923864277,0.999 +159459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.047304209,0.999 +159458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.536779009,0.999 +159457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.467982947,0.999 +159462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.632689713,0.999 +159463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,8.188475347,0.999 +159464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.247087584,0.999 +159461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.714457011,0.999 +159467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.882488656,0.999 +159465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.843072199,0.999 +159466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.241524645,0.999 +159469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.594038275,0.999 +159470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.008966459,0.999 +159471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.778291416,0.999 +159468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.644009974,0.999 +159474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.923489877,0.999 +159473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.429560643,0.999 +159475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.206864755,0.999 +159472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.459443921,0.999 +159476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.858341843,0.999 +159477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.446745268,0.999 +159478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.859016362,0.999 +159479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.454692249,0.999 +159480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.004130534,0.999 +159481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.544131511,0.999 +159483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.155411356,0.999 +159485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.39052441,0.999 +159484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.141553908,0.999 +159486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.256466495,0.999 +159482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,7.013443931,0.999 +159487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.320987029,0.999 +159488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.278171814,0.999 +159490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.609684515,0.999 +159489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.944064237,0.999 +159492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.344905459,0.999 +159491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.711143905,0.999 +159493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.083205059,0.999 +159494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.002322417,0.999 +159495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.302417041,0.999 +159496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.880493106,0.999 +159498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.265316209,0.999 +159499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.265718759,0.999 +159500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.103348545,0.999 +159497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.442658344,0.999 +159501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.468457591,0.999 +159502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.895763561,0.999 +159503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.457635429,0.999 +159504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.411244837,0.999 +159505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.269425427,0.999 +159506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.699366163,0.999 +159507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.529022633,0.999 +159510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.105377115,0.999 +159509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.603810405,0.999 +159511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.802978469,0.999 +159508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.247007675,0.999 +159512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.37187903,0.999 +159513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.007730105,0.999 +159514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,7.780798897,0.999 +159515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.497396161,0.999 +159517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.690203773,0.999 +159516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.179781986,0.999 +159518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.063234136,0.999 +159520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.482016473,0.999 +159521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.60790204,0.999 +159519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.298325472,0.999 +159522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.267214045,0.999 +159523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.154374017,0.999 +159524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,8.518540181,0.999 +159526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.910365724,0.999 +159525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.177125925,0.999 +159527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.997156302,0.999 +159528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.826515062,0.999 +159529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.491273946,0.999 +159531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.56410272,0.999 +159530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.078579317,0.999 +159532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.058858671,0.999 +159533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.609049553,0.999 +159534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.046799042,0.999 +159535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.720828171,0.999 +159537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.593236109,0.999 +159539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.096470824,0.999 +159540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.988089748,0.999 +159536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.186158742,0.999 +159538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.686042841,0.999 +159541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.827964813,0.999 +159542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.170876752,0.999 +159544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,7.028523082,0.999 +159546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.990885975,0.999 +159545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.396935481,0.999 +159547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.850509041,0.999 +159543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.100216339,0.999 +159549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.336942723,0.999 +159550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.238628743,0.999 +159551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,0.927962127,0.999 +159548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.782964567,0.999 +159552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.113384416,0.999 +159554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.540642896,0.999 +159553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.10056583,0.999 +159556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.613132906,0.999 +159555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.195126855,0.999 +159559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.304999892,0.999 +159558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.669661428,0.999 +159557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.042138136,0.999 +159560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.440975317,0.999 +159561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.836833793,0.999 +159562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.944291299,0.999 +159564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.655502344,0.999 +159563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.884151403,0.999 +159566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.6752127,0.999 +159565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.141056966,0.999 +159568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.202236882,0.999 +159567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.853298709,0.999 +159570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.900303888,0.999 +159571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.809488629,0.999 +159569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.912012302,0.999 +159572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.975915927,0.999 +159573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,8.038475843,0.999 +159575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.916432001,0.999 +159576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.799864386,0.999 +159577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.361622087,0.999 +159574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.074381909,0.999 +159578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.095154311,0.999 +159579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.538905734,0.999 +159581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.1859728,0.999 +159580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.842947197,0.999 +159582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.356383084,0.999 +159584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.590351613,0.999 +159585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.080268414,0.999 +159586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.480838566,0.999 +159583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.686933325,0.999 +159587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.414005778,0.999 +159588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.228849506,0.999 +159590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.572648086,0.999 +159591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.739066992,0.999 +159592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.452827878,0.999 +159589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.356028654,0.999 +159593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.416372915,0.999 +159596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.865064752,0.999 +159595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.163406078,0.999 +159594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.8482895,0.999 +159598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.386809235,0.999 +159599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.093359424,0.999 +159600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.506923595,0.999 +159601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.219878544,0.999 +159597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.714890037,0.999 +159602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.687194065,0.999 +159603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.583772345,0.999 +159606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.886279632,0.999 +159605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,7.066133761,0.999 +159607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.730733083,0.999 +159604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.757860508,0.999 +159608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.524471423,0.999 +159609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.39454753,0.999 +159611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.245741314,0.999 +159610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,8.082553603,0.999 +159612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.283539519,0.999 +159613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.815221488,0.999 +159614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.91946111,0.999 +159615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.517996209,0.999 +159617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.406015332,0.999 +159618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.787941864,0.999 +159619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.506620692,0.999 +159620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.686407273,0.999 +159616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.74604929,0.999 +159622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.184205812,0.999 +159623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.668052853,0.999 +159624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.282103025,0.999 +159621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.38614363,0.999 +159628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.895809736,0.999 +159625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.702106809,0.999 +159626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.543850158,0.999 +159627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.706868523,0.999 +159630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.329884472,0.999 +159629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.056455124,0.999 +159631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.604319548,0.999 +159632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.197442506,0.999 +159634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.90971915,0.999 +159633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.163924043,0.999 +159635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.997557966,0.999 +159638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.258382672,0.999 +159637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.985379326,0.999 +159639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.652315235,0.999 +159636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.741952637,0.999 +159640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.575092187,0.999 +159641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.65165245,0.999 +159642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.204354921,0.999 +159643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.2708234,0.999 +159644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.471705907,0.999 +159645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.982302431,0.999 +159646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.692221059,0.999 +159647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,0.756528503,0.999 +159648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.501762996,0.999 +159649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.854292521,0.999 +159650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.119408769,0.999 +159651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.205468091,0.999 +159652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,7.072359894,0.999 +159653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.858596504,0.999 +159654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,10.29558448,0.999 +159656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.674211542,0.999 +159658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.52526948,0.999 +159657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.183028135,0.999 +159659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.365287337,0.999 +159655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.470272433,0.999 +159661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.234639744,0.999 +159660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.496452761,0.999 +159662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.440290757,0.999 +159664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.90563665,0.999 +159665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.366216787,0.999 +159666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.315291572,0.999 +159663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.015080385,0.999 +159667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.063622362,0.999 +159668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.017542405,0.999 +159669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.292246274,0.999 +159670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,7.374806871,0.999 +159672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.688729593,0.999 +159671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.304124045,0.999 +159673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.81072861,0.999 +159675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.162891109,0.999 +159676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.465647841,0.999 +159677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.256288941,0.999 +159674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.757076956,0.999 +159678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.225183315,0.999 +159679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.972821135,0.999 +159680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.098957269,0.999 +159682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.387265264,0.999 +159683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.116379991,0.999 +159684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.657622717,0.999 +159681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.979196597,0.999 +159685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.557217588,0.999 +159686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.461190265,0.999 +159687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.91797866,0.999 +159688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.77371064,0.999 +159690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.530395251,0.999 +159689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.82182288,0.999 +159691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.042107655,0.999 +159692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.985545082,0.999 +159693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.320748533,0.999 +159694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.001702588,0.999 +159695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.43026446,0.999 +159697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.265920954,0.999 +159698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.511383703,0.999 +159699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,0.903255154,0.999 +159700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.479682083,0.999 +159701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.154191357,0.999 +159696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.245826817,0.999 +159702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.204937648,0.999 +159703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.096531391,0.999 +159704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.284860043,0.999 +159705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.684507155,0.999 +159706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.5688059,0.999 +159707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.7135991,0.999 +159708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.695851043,0.999 +159709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.574335665,0.999 +159710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.140405865,0.999 +159712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.343462337,0.999 +159711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.28295787,0.999 +159713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.317668556,0.999 +159714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,8.984077502,0.999 +159715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.611200304,0.999 +159716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.912391558,0.999 +159719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.427384665,0.999 +159720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.569687588,0.999 +159718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.215866508,0.999 +159717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.346786698,0.999 +159721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,9.491201631,0.999 +159722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.772771763,0.999 +159724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.298841933,0.999 +159725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.146294804,0.999 +159726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.632239222,0.999 +159723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.972499051,0.999 +159727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.471720185,0.999 +159728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.729131583,0.999 +159729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.31449294,0.999 +159730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.102164201,0.999 +159731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.258556806,0.999 +159732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.301125255,0.999 +159733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.560117296,0.999 +159734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.329556274,0.999 +159736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.030045847,0.999 +159737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.282443787,0.999 +159735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.830591522,0.999 +159738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.313953744,0.999 +159739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.599464763,0.999 +159740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.637192851,0.999 +159741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.321525812,0.999 +159743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.151658065,0.999 +159744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.625823593,0.999 +159745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.979312693,0.999 +159746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.927260337,0.999 +159742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.470583689,0.999 +159748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,7.102347029,0.999 +159747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.367873604,0.999 +159749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.5201599,0.999 +159750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.641025749,0.999 +159752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.616747184,0.999 +159753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.795943394,0.999 +159751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.046137334,0.999 +159754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.874242194,0.999 +159755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.60106921,0.999 +159756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.297720686,0.999 +159757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.489440943,0.999 +159758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.435116579,0.999 +159759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.068783817,0.999 +159761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.895072426,0.999 +159762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.837812513,0.999 +159763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.574160153,0.999 +159760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.099503653,0.999 +159764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.782587988,0.999 +159765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.753582534,0.999 +159766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.746445103,0.999 +159767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.353332666,0.999 +159768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.784399657,0.999 +159769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.429474133,0.999 +159771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.037787009,0.999 +159770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.800616233,0.999 +159772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.620852851,0.999 +159773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.197364506,0.999 +159774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.663617416,0.999 +159775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.646729541,0.999 +159778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.781911881,0.999 +159776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.597707995,0.999 +159779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.265495155,0.999 +159777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.241669644,0.999 +159780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.902040283,0.999 +159781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.031586588,0.999 +159783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,7.714122055,0.999 +159782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.452754505,0.999 +159784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.632868929,0.999 +159786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.015257464,0.999 +159787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.70656044,0.999 +159788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.57325931,0.999 +159785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.329966199,0.999 +159789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.226510971,0.999 +159790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.029732819,0.999 +159791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.393160314,0.999 +159792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,8.089871067,0.999 +159794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.72828567,0.999 +159795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,0.871945289,0.999 +159793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.810525276,0.999 +159796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.787000929,0.999 +159798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.718405853,0.999 +159799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.064239312,0.999 +159797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.606853255,0.999 +159801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.164781028,0.999 +159802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.835001239,0.999 +159803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.559640458,0.999 +159804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.4746136,0.999 +159800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.072872468,0.999 +159805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.830954832,0.999 +159806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.287753526,0.999 +159807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.265242511,0.999 +159810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.291477066,0.999 +159809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.381683202,0.999 +159808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.115107331,0.999 +159811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.485920142,0.999 +159813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.941966472,0.999 +159814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.687855958,0.999 +159815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.49560344,0.999 +159812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.457392251,0.999 +159816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.487560589,0.999 +159817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.996638898,0.999 +159818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.278228011,0.999 +159819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.286768816,0.999 +159821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.495721887,0.999 +159822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.022778715,0.999 +159823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,12.26192434,0.999 +159824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.237656611,0.999 +159820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.877542376,0.999 +159826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.980773341,0.999 +159825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.390843224,0.999 +159827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.812827025,0.999 +159829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.503190821,0.999 +159828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.6198904,0.999 +159831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.235983367,0.999 +159830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.391925611,0.999 +159833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.865004466,0.999 +159834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.041467674,0.999 +159835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.549686233,0.999 +159832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.644978347,0.999 +159836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.817170564,0.999 +159838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.662374467,0.999 +159839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.618545963,0.999 +159837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.876455735,0.999 +159841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.937491949,0.999 +159842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.852202866,0.999 +159840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.719064449,0.999 +159844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.19801895,0.999 +159843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.187255059,0.999 +159845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.000994289,0.999 +159846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.688085415,0.999 +159847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.545218091,0.999 +159848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.189621029,0.999 +159850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.027555464,0.999 +159851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.390120499,0.999 +159849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.091677255,0.999 +159852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.374141051,0.999 +159853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.631256492,0.999 +159854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.054790638,0.999 +159856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.215364279,0.999 +159855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.776667142,0.999 +159858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.754571279,0.999 +159857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.583855765,0.999 +159859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.950274853,0.999 +159860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.369844644,0.999 +159861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.799279147,0.999 +159862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.2062616,0.999 +159863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.87259697,0.999 +159864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.893034709,0.999 +159865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.831959481,0.999 +159867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.189624904,0.999 +159868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.468235013,0.999 +159866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.95279073,0.999 +159869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.970408192,0.999 +159872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.966066834,0.999 +159870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.641104897,0.999 +159873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,-0.213554045,0.999 +159871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.289292634,0.999 +159874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.795276985,0.999 +159875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.107877227,0.999 +159877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.557819926,0.999 +159876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.46110611,0.999 +159878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.093791566,0.999 +159879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.287808535,0.999 +159881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.972738452,0.999 +159883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.928862124,0.999 +159880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.264556197,0.999 +159884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.981313665,0.999 +159882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.404176819,0.999 +159886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.244846151,0.999 +159887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.94503074,0.999 +159885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.592631725,0.999 +159888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.073024309,0.999 +159889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.928928319,0.999 +159890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.915299554,0.999 +159891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,0.391443628,0.999 +159892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.784548794,0.999 +159893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,7.253395986,0.999 +159894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.822044834,0.999 +159896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.483499325,0.999 +159895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.158739504,0.999 +159897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.93464417,0.999 +159898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.602449869,0.999 +159900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.650681773,0.999 +159901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,7.142630753,0.999 +159899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.11373157,0.999 +159903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.088014784,0.999 +159902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.439639107,0.999 +159904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.032633108,0.999 +159905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.198849284,0.999 +159907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.777299278,0.999 +159906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.741704744,0.999 +159909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.82640996,0.999 +159910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.472929858,0.999 +159908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.454771427,0.999 +159911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.433387713,0.999 +159912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.865519097,0.999 +159913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,7.267687472,0.999 +159914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,8.983324158,0.999 +159915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.412988714,0.999 +159917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.322607433,0.999 +159919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.22099363,0.999 +159916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.386485591,0.999 +159918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,7.242134142,0.999 +159920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.589129458,0.999 +159922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.952446061,0.999 +159921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.358791312,0.999 +159924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.656761038,0.999 +159923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.694923196,0.999 +159925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,0.8877324,0.999 +159927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.012748309,0.999 +159926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.97528102,0.999 +159928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,7.098935179,0.999 +159929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.401601682,0.999 +159930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.505722905,0.999 +159931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.717949986,0.999 +159932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.967947733,0.999 +159933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.862794039,0.999 +159935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.607777139,0.999 +159934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.658505599,0.999 +159937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.758818364,0.999 +159939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.387263979,0.999 +159936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.994162817,0.999 +159940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.892153154,0.999 +159941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.645890103,0.999 +159938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.975790682,0.999 +159942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,0.929922199,0.999 +159943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.219826482,0.999 +159944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.040939031,0.999 +159946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.598961215,0.999 +159947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.501658772,0.999 +159945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.021525872,0.999 +159949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.419628096,0.999 +159948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.212245921,0.999 +159950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.617980321,0.999 +159951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.621041809,0.999 +159954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.66009442,0.999 +159955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.951251977,0.999 +159953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.081924941,0.999 +159956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.513296818,0.999 +159958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.458609642,0.999 +159952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,7.120976246,0.999 +159957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.61419309,0.999 +159959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.819716915,0.999 +159960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.366135808,0.999 +159961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.545998766,0.999 +159962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.135187381,0.999 +159963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.50364373,0.999 +159964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.274191413,0.999 +159965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.618954584,0.999 +159966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.600067441,0.999 +159967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.126878894,0.999 +159968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.182357146,0.999 +159969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.384650811,0.999 +159970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.519427296,0.999 +159972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.776138311,0.999 +159971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,7.256070237,0.999 +159975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.109105636,0.999 +159976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.820332167,0.999 +159973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.972860885,0.999 +159974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.655606913,0.999 +159977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.432196214,0.999 +159978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.52959001,0.999 +159979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,6.694399152,0.999 +159980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.212332791,0.999 +159981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.910210074,0.999 +159982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.97512875,0.999 +159983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.130680882,0.999 +159984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.130996993,0.999 +159985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.239378956,0.999 +159986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,5.157184385,0.999 +159988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.968888231,0.999 +159987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.716749774,0.999 +159989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.367088797,0.999 +159990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.533868473,0.999 +159991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.68293639,0.999 +159993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,2.852281072,0.999 +159992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.024975221,0.999 +159994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.263179536,0.999 +159995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,1.92729911,0.999 +159996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.86815295,0.999 +159997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.816964971,0.999 +159998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.632958831,0.999 +159999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,4.168962881,0.999 +160000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.5,10,1,3.574407604,0.999 +169002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.550455809,0.997 +169004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.234896593,0.997 +169001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.760572242,0.997 +169003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.074563379,0.997 +169006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.800269955,0.997 +169005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.451940349,0.997 +169007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.576029547,0.997 +169008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.118623501,0.997 +169009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.315979918,0.997 +169011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.362898319,0.997 +169012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.802202841,0.997 +169010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.846614624,0.997 +169014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.868244291,0.997 +169015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.52879129,0.997 +169016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.02714781,0.997 +169013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.476165222,0.997 +169019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.608051448,0.997 +169017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.00798548,0.997 +169020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.978722719,0.997 +169018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.606389208,0.997 +169022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.878172686,0.997 +169021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,10.73568742,0.997 +169023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.245061797,0.997 +169024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.982325096,0.997 +169025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.290016342,0.997 +169027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.282810168,0.997 +169028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.424221987,0.997 +169026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.877045329,0.997 +169029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.408295753,0.997 +169031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.106347605,0.997 +169032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.494778475,0.997 +169030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,11.5339511,0.997 +169034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.259930816,0.997 +169033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.47444983,0.997 +169035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.306089353,0.997 +169036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.727488086,0.997 +169038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.773495964,0.997 +169037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.374498692,0.997 +169040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.326817923,0.997 +169041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.668463043,0.997 +169042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.475768886,0.997 +169039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.560254879,0.997 +169043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.461617364,0.997 +169045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.566367154,0.997 +169044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.340476304,0.997 +169046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.975614085,0.997 +169048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.805755823,0.997 +169049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.882053898,0.997 +169050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.912824219,0.997 +169047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,13.52329928,0.997 +169051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.425441639,0.997 +169052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.002794993,0.997 +169054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.422481137,0.997 +169056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.809211169,0.997 +169055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.819081214,0.997 +169057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.542565061,0.997 +169058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.08595541,0.997 +169059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.278321794,0.997 +169060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.818963121,0.997 +169053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.471169355,0.997 +169061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.689789113,0.997 +169062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,8.527050115,0.997 +169063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.413079767,0.997 +169064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.067918422,0.997 +169065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.145309553,0.997 +169066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.769867572,0.997 +169068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.875629572,0.997 +169067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.143026454,0.997 +169069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.289004122,0.997 +169070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.757989989,0.997 +169071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,9.990009644,0.997 +169072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.808055091,0.997 +169073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.920648254,0.997 +169074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.410518674,0.997 +169076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.198021665,0.997 +169077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.235029712,0.997 +169078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.726582329,0.997 +169075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.247664842,0.997 +169079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.502513091,0.997 +169080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.539789912,0.997 +169081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.823846755,0.997 +169082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.046079894,0.997 +169083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.208781522,0.997 +169084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.005295771,0.997 +169085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.468601182,0.997 +169086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.881400749,0.997 +169087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.536733642,0.997 +169088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.390806665,0.997 +169089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.978871877,0.997 +169091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,10.25080675,0.997 +169092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.618002849,0.997 +169093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.549717856,0.997 +169094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.365992723,0.997 +169090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.781194437,0.997 +169095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.593876211,0.997 +169096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.516467032,0.997 +169097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.583928496,0.997 +169098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.411004176,0.997 +169099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.811313198,0.997 +169100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.65463424,0.997 +169101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.373762004,0.997 +169103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.255955276,0.997 +169102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,7.651534937,0.997 +169104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.239618435,0.997 +169105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.69309198,0.997 +169106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.378203559,0.997 +169107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.422059573,0.997 +169108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.988724712,0.997 +169109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.005671285,0.997 +169110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.850441208,0.997 +169112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.60827599,0.997 +169113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.407280898,0.997 +169114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.323964434,0.997 +169115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.633663829,0.997 +169116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.495164376,0.997 +169111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.762426458,0.997 +169117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,9.465310711,0.997 +169118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.654758859,0.997 +169119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.506772938,0.997 +169121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.106542308,0.997 +169122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.765666311,0.997 +169120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.205512375,0.997 +169123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.854669122,0.997 +169124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.7417645,0.997 +169125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.364821318,0.997 +169126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.47082649,0.997 +169127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.29565886,0.997 +169128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.443453363,0.997 +169129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.073857251,0.997 +169130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.796720486,0.997 +169131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.245376147,0.997 +169132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.681357162,0.997 +169133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.648879977,0.997 +169135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.360436549,0.997 +169136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.508646697,0.997 +169137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.205168253,0.997 +169138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.066470721,0.997 +169139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.770359663,0.997 +169134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.495202769,0.997 +169140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.866164615,0.997 +169144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.283372621,0.997 +169141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.12044324,0.997 +169142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.277320686,0.997 +169143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.414477269,0.997 +169145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.884711169,0.997 +169146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.037552101,0.997 +169147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,8.446127865,0.997 +169148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.577662046,0.997 +169150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.864101161,0.997 +169149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.296391565,0.997 +169151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.485492463,0.997 +169152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.827369697,0.997 +169153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.806031484,0.997 +169155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.359299513,0.997 +169156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.501533366,0.997 +169154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.71763516,0.997 +169157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.699012201,0.997 +169159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.961548094,0.997 +169158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.076075422,0.997 +169160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.238379064,0.997 +169161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.209256878,0.997 +169162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.731625366,0.997 +169163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.332189896,0.997 +169165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.832316901,0.997 +169166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.402832653,0.997 +169167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.039942364,0.997 +169164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.886929486,0.997 +169168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.090964834,0.997 +169170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.871579565,0.997 +169169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.427686846,0.997 +169171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.902456979,0.997 +169172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.334477494,0.997 +169173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.020997679,0.997 +169175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,8.5651701,0.997 +169176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.208867154,0.997 +169177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,-0.092295222,0.997 +169174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.065421388,0.997 +169178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.543192983,0.997 +169179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.84639397,0.997 +169180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.103591947,0.997 +169183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,8.895654403,0.997 +169182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.626079791,0.997 +169184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.147251056,0.997 +169181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.692886479,0.997 +169185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.849875533,0.997 +169186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.374349938,0.997 +169187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.26854527,0.997 +169188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.031107595,0.997 +169191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,-8.90E-04,0.997 +169190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.235029861,0.997 +169192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.125831189,0.997 +169189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.355276944,0.997 +169194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.434176189,0.997 +169193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.815437773,0.997 +169195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.096813034,0.997 +169196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.387891348,0.997 +169197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.365952514,0.997 +169198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.118893206,0.997 +169200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.913156972,0.997 +169201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.2186896,0.997 +169202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,8.414447037,0.997 +169199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.342430092,0.997 +169203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.965216163,0.997 +169205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.777194078,0.997 +169204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.032191566,0.997 +169206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.032931577,0.997 +169208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.691271642,0.997 +169209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.710066142,0.997 +169210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.558208614,0.997 +169211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.252569181,0.997 +169212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.270085309,0.997 +169207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.375641279,0.997 +169213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.368192652,0.997 +169214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.212629649,0.997 +169215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.562306834,0.997 +169216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.796345444,0.997 +169217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.954545131,0.997 +169219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.412771246,0.997 +169218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.418483992,0.997 +169220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.173283875,0.997 +169221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.312106849,0.997 +169223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.994743402,0.997 +169225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.203030283,0.997 +169222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.863343449,0.997 +169226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.773969148,0.997 +169228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.157716883,0.997 +169227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.250156759,0.997 +169224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.300655809,0.997 +169229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,7.621537926,0.997 +169230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.017779541,0.997 +169233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.811349412,0.997 +169232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,9.418961932,0.997 +169234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.313079792,0.997 +169231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.516598262,0.997 +169237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.927939714,0.997 +169235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.501382198,0.997 +169236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.346206555,0.997 +169238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.412984589,0.997 +169239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,7.237962037,0.997 +169240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,7.160802811,0.997 +169241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,7.187156982,0.997 +169242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.002404063,0.997 +169243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,7.063691087,0.997 +169244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.657664064,0.997 +169246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.75148867,0.997 +169247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.202779517,0.997 +169248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.293476425,0.997 +169249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.00868608,0.997 +169245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.282820764,0.997 +169250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.906265417,0.997 +169251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.625789057,0.997 +169252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.225516683,0.997 +169253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.729560892,0.997 +169254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.462906664,0.997 +169255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.268503292,0.997 +169256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.978249593,0.997 +169258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.613171013,0.997 +169257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.772516841,0.997 +169259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.137924008,0.997 +169260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.286294079,0.997 +169261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.0586681,0.997 +169262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.753392791,0.997 +169263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.911190526,0.997 +169264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.621203,0.997 +169265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.916977968,0.997 +169267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.882626499,0.997 +169268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.407382842,0.997 +169269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.03648591,0.997 +169266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.003851704,0.997 +169271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.459668978,0.997 +169270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.582141814,0.997 +169272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.550774328,0.997 +169273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.194860786,0.997 +169274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.075183617,0.997 +169276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.522684305,0.997 +169275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,9.084605796,0.997 +169277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.695785151,0.997 +169278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.247224736,0.997 +169279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.217094609,0.997 +169281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.686115192,0.997 +169280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.577405612,0.997 +169282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.871317094,0.997 +169283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.878372773,0.997 +169285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.407144822,0.997 +169287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.247109175,0.997 +169286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.443874105,0.997 +169284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.878738281,0.997 +169289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.248609463,0.997 +169290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.317543699,0.997 +169292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.800178598,0.997 +169293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.178336211,0.997 +169291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.595997587,0.997 +169288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.925051283,0.997 +169296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.453821923,0.997 +169294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.133238954,0.997 +169297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.942622634,0.997 +169295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.484057123,0.997 +169299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.98426106,0.997 +169298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.301924063,0.997 +169300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.218414883,0.997 +169301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,10.77395753,0.997 +169302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.258252723,0.997 +169304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.412782955,0.997 +169305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.462855952,0.997 +169306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.308717435,0.997 +169308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.74529587,0.997 +169303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,7.660576988,0.997 +169307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.545885393,0.997 +169309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.323792205,0.997 +169311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.138321132,0.997 +169310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.086935518,0.997 +169312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.11563871,0.997 +169313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.402109282,0.997 +169314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.722264613,0.997 +169315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.036562908,0.997 +169316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.570927713,0.997 +169317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.843532982,0.997 +169318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.697156306,0.997 +169319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,8.983300397,0.997 +169320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.25330778,0.997 +169321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.483600738,0.997 +169323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.616925173,0.997 +169324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.659266287,0.997 +169326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.569182484,0.997 +169322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.125683082,0.997 +169325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.761540942,0.997 +169327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.737606257,0.997 +169329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.342310535,0.997 +169328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.090170271,0.997 +169330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.872933819,0.997 +169331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.203066831,0.997 +169332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.541011262,0.997 +169333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.984729723,0.997 +169334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.438338859,0.997 +169335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.778252384,0.997 +169337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.458216345,0.997 +169336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.734245679,0.997 +169339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.887879247,0.997 +169338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,9.185057109,0.997 +169340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.592049997,0.997 +169343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,8.31841986,0.997 +169341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.21898001,0.997 +169344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.378751113,0.997 +169342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.152971405,0.997 +169345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.144105513,0.997 +169347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.428881131,0.997 +169348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.399913747,0.997 +169346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.333291631,0.997 +169349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.366829881,0.997 +169350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.797478498,0.997 +169351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.001946659,0.997 +169352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.103402907,0.997 +169353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.413119063,0.997 +169354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.836124554,0.997 +169355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.661473381,0.997 +169357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,7.080818866,0.997 +169356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.168372268,0.997 +169358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.346168798,0.997 +169359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.616251041,0.997 +169360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.100649815,0.997 +169362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.802005229,0.997 +169361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.126094949,0.997 +169363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.934584072,0.997 +169364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.880181502,0.997 +169365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,11.54280838,0.997 +169367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.778341598,0.997 +169368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.279213908,0.997 +169366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.064038017,0.997 +169369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.410448698,0.997 +169370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.436783204,0.997 +169371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.81581731,0.997 +169373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.504679169,0.997 +169374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.005384963,0.997 +169372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.619627198,0.997 +169375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.553644227,0.997 +169377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.321876784,0.997 +169378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.202918527,0.997 +169379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.248803554,0.997 +169380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.881982747,0.997 +169376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.18694347,0.997 +169382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.274733139,0.997 +169383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.028489837,0.997 +169384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.092684134,0.997 +169385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,7.367868815,0.997 +169381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.016382653,0.997 +169387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.665726406,0.997 +169386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.962931846,0.997 +169388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.026544795,0.997 +169390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.237217605,0.997 +169389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.29700849,0.997 +169391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.801386926,0.997 +169392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.033058255,0.997 +169394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.496993288,0.997 +169395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.896837221,0.997 +169396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.70019713,0.997 +169393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.556124723,0.997 +169397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.122149697,0.997 +169398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.759462553,0.997 +169399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.168798794,0.997 +169402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.826450346,0.997 +169400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.583926487,0.997 +169401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.97412235,0.997 +169405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.487135835,0.997 +169403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.816591799,0.997 +169404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.12663927,0.997 +169407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.390212243,0.997 +169406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.504882207,0.997 +169408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.406404113,0.997 +169409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.427789941,0.997 +169412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.074667344,0.997 +169413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.693322921,0.997 +169411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.085940889,0.997 +169414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.746125887,0.997 +169415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.816259249,0.997 +169410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.615120901,0.997 +169416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.709610543,0.997 +169417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.46690951,0.997 +169419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.896507206,0.997 +169418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.312767199,0.997 +169421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.084716933,0.997 +169420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.934020356,0.997 +169422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.17274224,0.997 +169423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.363241664,0.997 +169424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,7.165355569,0.997 +169426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.545317953,0.997 +169425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.787968922,0.997 +169427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.385383757,0.997 +169428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.493689857,0.997 +169430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.403983042,0.997 +169431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.142097819,0.997 +169432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.671028557,0.997 +169429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.986894108,0.997 +169433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.785352884,0.997 +169435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,9.13017462,0.997 +169436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.584045249,0.997 +169434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.845683002,0.997 +169437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.372075664,0.997 +169439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.144351744,0.997 +169438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.026095798,0.997 +169440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.515965698,0.997 +169441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.048383093,0.997 +169442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.89671132,0.997 +169443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.065967394,0.997 +169447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.914701286,0.997 +169445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.114866453,0.997 +169444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.593621819,0.997 +169446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,-1.344947326,0.997 +169450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.369033177,0.997 +169448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.836151838,0.997 +169449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.077025187,0.997 +169451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.067710322,0.997 +169452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.57268593,0.997 +169453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.868120478,0.997 +169454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.764934253,0.997 +169455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.48711209,0.997 +169457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.574342178,0.997 +169459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.559812316,0.997 +169458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.034660882,0.997 +169460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.852736678,0.997 +169461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.45279833,0.997 +169462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.47218617,0.997 +169456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.617825812,0.997 +169463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,9.311161054,0.997 +169464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.951779635,0.997 +169466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.613492793,0.997 +169465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.434295244,0.997 +169467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.671024148,0.997 +169469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.023837624,0.997 +169468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.963995538,0.997 +169470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.710611139,0.997 +169471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.747706207,0.997 +169472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.576332538,0.997 +169473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.125098152,0.997 +169474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.87917826,0.997 +169475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.587884375,0.997 +169477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.220911829,0.997 +169478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.888084719,0.997 +169479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.910556708,0.997 +169476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.56421387,0.997 +169480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,7.767789011,0.997 +169483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.359949673,0.997 +169482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.288249286,0.997 +169481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.71327418,0.997 +169484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.361898344,0.997 +169485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.540555217,0.997 +169486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.32275904,0.997 +169487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.122720608,0.997 +169488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.309763091,0.997 +169490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.290686469,0.997 +169489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.218423212,0.997 +169491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.517579854,0.997 +169492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.231495465,0.997 +169493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.748756599,0.997 +169494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.55810835,0.997 +169495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.150289363,0.997 +169496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.996867438,0.997 +169498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,9.542867863,0.997 +169497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.748431038,0.997 +169499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.894825657,0.997 +169501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.745984702,0.997 +169500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.686552818,0.997 +169503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.333901757,0.997 +169504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.734589082,0.997 +169505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.894943089,0.997 +169502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.228602228,0.997 +169506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.50447804,0.997 +169508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.148988003,0.997 +169507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.58532872,0.997 +169509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.331517137,0.997 +169511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.715124981,0.997 +169510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.966936363,0.997 +169512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.245123045,0.997 +169513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.307790806,0.997 +169516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.610437068,0.997 +169515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.378704608,0.997 +169514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.609023135,0.997 +169518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.655283414,0.997 +169519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.220215412,0.997 +169520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.682716006,0.997 +169517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,12.17615034,0.997 +169521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.065533417,0.997 +169522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.725818093,0.997 +169523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.444832698,0.997 +169524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.54388548,0.997 +169526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.331960066,0.997 +169525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.439898395,0.997 +169527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,9.341448536,0.997 +169528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.285103265,0.997 +169529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.118511022,0.997 +169531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.90184946,0.997 +169532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,7.979916215,0.997 +169530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.862292567,0.997 +169534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.889845075,0.997 +169535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.428409639,0.997 +169536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.975549564,0.997 +169533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.227105117,0.997 +169537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.118653515,0.997 +169539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.733434697,0.997 +169538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.317992891,0.997 +169540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.280286718,0.997 +169541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.798124427,0.997 +169542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.844413048,0.997 +169543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.710156,0.997 +169544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.441251761,0.997 +169548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.981220035,0.997 +169547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.802248416,0.997 +169545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.346124752,0.997 +169549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.395296604,0.997 +169546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.627194877,0.997 +169551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.610064641,0.997 +169552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.905485111,0.997 +169550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.261406497,0.997 +169553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.549300413,0.997 +169554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.698443297,0.997 +169557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.035813549,0.997 +169556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.758410749,0.997 +169555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.326337273,0.997 +169558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.464086503,0.997 +169559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.218022188,0.997 +169560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.098573701,0.997 +169561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.032181441,0.997 +169564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.900872033,0.997 +169565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.291859257,0.997 +169563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.390203064,0.997 +169562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.713053239,0.997 +169566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.174396401,0.997 +169567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,8.311437567,0.997 +169569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.275848378,0.997 +169568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.438550885,0.997 +169570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.626864876,0.997 +169571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.607846429,0.997 +169573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.628164227,0.997 +169572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.502587755,0.997 +169574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.839570533,0.997 +169575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.905543238,0.997 +169576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.374753413,0.997 +169577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.335276437,0.997 +169579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.183797269,0.997 +169578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.133244936,0.997 +169582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.661629499,0.997 +169580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.334299093,0.997 +169583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.235410359,0.997 +169581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.302029622,0.997 +169585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,8.812951608,0.997 +169584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,10.99740966,0.997 +169587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,12.46413931,0.997 +169586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.78852378,0.997 +169588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.564458351,0.997 +169589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.639000556,0.997 +169591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.683521905,0.997 +169590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,9.182297612,0.997 +169592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.317409396,0.997 +169593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.127008439,0.997 +169594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.26316328,0.997 +169595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.664462276,0.997 +169597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.466773315,0.997 +169598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.844011394,0.997 +169596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.560076924,0.997 +169600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.797869034,0.997 +169601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.270261555,0.997 +169599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.77793898,0.997 +169602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.279915069,0.997 +169603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.336324409,0.997 +169604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.22819769,0.997 +169606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,8.160279907,0.997 +169605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.332383815,0.997 +169607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,7.57407321,0.997 +169608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.927953009,0.997 +169609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.794760769,0.997 +169610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.149451455,0.997 +169611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.505177528,0.997 +169612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.014345466,0.997 +169613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.198479915,0.997 +169614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.145330801,0.997 +169615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.135746121,0.997 +169616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.046604841,0.997 +169617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.948948002,0.997 +169619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.841893325,0.997 +169620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.701351836,0.997 +169621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.093903274,0.997 +169622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.769148412,0.997 +169623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.301703724,0.997 +169618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.096447286,0.997 +169624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.219517241,0.997 +169625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.08543972,0.997 +169626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.197091863,0.997 +169628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.901720598,0.997 +169629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.433021519,0.997 +169627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.443204329,0.997 +169630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.08477304,0.997 +169633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.405733299,0.997 +169632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.60079723,0.997 +169631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.649415556,0.997 +169634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.214411576,0.997 +169636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,7.309294636,0.997 +169637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.390867202,0.997 +169638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.271238544,0.997 +169639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.203233425,0.997 +169640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.875783716,0.997 +169641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.857064531,0.997 +169635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.834475329,0.997 +169642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.770780258,0.997 +169643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.203391235,0.997 +169644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.533937459,0.997 +169645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.129839125,0.997 +169646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.934280918,0.997 +169647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.951718744,0.997 +169648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.88304801,0.997 +169649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.498305966,0.997 +169650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.528326701,0.997 +169651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.632368237,0.997 +169652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.097454663,0.997 +169653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.878247477,0.997 +169654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.074486577,0.997 +169655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.7137825,0.997 +169656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.543392003,0.997 +169658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.019045434,0.997 +169659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.15817468,0.997 +169660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.234793032,0.997 +169662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.291432449,0.997 +169661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.202172903,0.997 +169657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.714860786,0.997 +169664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.262288283,0.997 +169665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,7.537189298,0.997 +169663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.25664481,0.997 +169666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.108597274,0.997 +169667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.547110593,0.997 +169668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,9.68961239,0.997 +169669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.256708367,0.997 +169671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.588039929,0.997 +169672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.482193788,0.997 +169670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.155157191,0.997 +169673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.821604748,0.997 +169674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.119073702,0.997 +169675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.808383413,0.997 +169676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.525135162,0.997 +169677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.765101579,0.997 +169678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.573566782,0.997 +169679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.545328551,0.997 +169680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.509413283,0.997 +169681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.397688236,0.997 +169682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.878352077,0.997 +169684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.67918432,0.997 +169686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.500611289,0.997 +169685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.863464488,0.997 +169687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,8.122153399,0.997 +169683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.118702362,0.997 +169688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.017412459,0.997 +169689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.681452866,0.997 +169690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.64527775,0.997 +169691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.384784338,0.997 +169692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.116169009,0.997 +169694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.859091284,0.997 +169693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.776881567,0.997 +169695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.877299597,0.997 +169696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.763212192,0.997 +169697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.698047104,0.997 +169698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.120624999,0.997 +169699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.52284771,0.997 +169700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.367810742,0.997 +169701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.011919275,0.997 +169702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.276091118,0.997 +169704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.774954255,0.997 +169705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.470306586,0.997 +169703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.732964216,0.997 +169707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.17730127,0.997 +169706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.690243672,0.997 +169708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.245612207,0.997 +169710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.178269507,0.997 +169709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.292447177,0.997 +169711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.090916458,0.997 +169712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.655791763,0.997 +169713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.855988717,0.997 +169714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,8.1490944,0.997 +169715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.259320508,0.997 +169716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.191180644,0.997 +169718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.942262757,0.997 +169717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.255186479,0.997 +169719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.444817332,0.997 +169720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.994324384,0.997 +169721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.11572415,0.997 +169722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.808994624,0.997 +169725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.412746729,0.997 +169724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.544731221,0.997 +169726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.143592825,0.997 +169723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.160766278,0.997 +169727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.355216531,0.997 +169728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.390569865,0.997 +169729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.098562591,0.997 +169731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.905337694,0.997 +169732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,10.3876158,0.997 +169730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.710724601,0.997 +169733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.708555244,0.997 +169735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.554326817,0.997 +169736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.188590622,0.997 +169734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.091425862,0.997 +169737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.291301139,0.997 +169740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.765715534,0.997 +169739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.236505101,0.997 +169741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.687849451,0.997 +169738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.620801712,0.997 +169744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.284782678,0.997 +169742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.514501357,0.997 +169745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.989512805,0.997 +169747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.503250867,0.997 +169746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.686357372,0.997 +169743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.695725444,0.997 +169748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.704050796,0.997 +169749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.756331596,0.997 +169750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.794062458,0.997 +169752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.657947903,0.997 +169751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,8.552652277,0.997 +169753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.443837657,0.997 +169754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.364179932,0.997 +169755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.923164015,0.997 +169756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.574245383,0.997 +169758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.21114039,0.997 +169757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.961561411,0.997 +169760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.00271323,0.997 +169761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.03676287,0.997 +169762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.436760398,0.997 +169764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.196712413,0.997 +169765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.708342752,0.997 +169759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.586869076,0.997 +169763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.304377324,0.997 +169768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.262550117,0.997 +169766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.466651001,0.997 +169767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.000578845,0.997 +169769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.031548816,0.997 +169770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.63496689,0.997 +169771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.333954991,0.997 +169772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.723036912,0.997 +169773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.448566273,0.997 +169774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.639332273,0.997 +169775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,7.791507549,0.997 +169776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.428853188,0.997 +169777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.610611918,0.997 +169779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.697630374,0.997 +169780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.386551022,0.997 +169778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.346288388,0.997 +169782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.294327131,0.997 +169781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.941645125,0.997 +169783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.908836628,0.997 +169784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.725067401,0.997 +169785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.902985447,0.997 +169787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.220452231,0.997 +169786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,14.64770167,0.997 +169788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.220769361,0.997 +169790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.691264903,0.997 +169791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.813060751,0.997 +169789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.371247757,0.997 +169792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.591883014,0.997 +169793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.539522547,0.997 +169794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,10.39118116,0.997 +169795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.296061907,0.997 +169797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.921069799,0.997 +169798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.7520981,0.997 +169796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.441306444,0.997 +169800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.263227615,0.997 +169801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.959118354,0.997 +169802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,10.79110037,0.997 +169804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.350412757,0.997 +169803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.991673372,0.997 +169805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.706728841,0.997 +169799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.860121412,0.997 +169806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.637741816,0.997 +169807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.507332332,0.997 +169808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.860577486,0.997 +169810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.967583797,0.997 +169811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,8.006650595,0.997 +169809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.386723258,0.997 +169812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.758832365,0.997 +169815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.316427006,0.997 +169816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.666688862,0.997 +169814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.150073048,0.997 +169813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.335615166,0.997 +169818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,9.347445298,0.997 +169820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.662685078,0.997 +169819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.221282321,0.997 +169817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.202320461,0.997 +169821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.702494713,0.997 +169822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.673227669,0.997 +169823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,11.3230319,0.997 +169826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.151775786,0.997 +169825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.727323032,0.997 +169827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.731891561,0.997 +169824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.392567348,0.997 +169830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.97688476,0.997 +169828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.933041361,0.997 +169829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,8.183882809,0.997 +169831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.622560111,0.997 +169832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.253213708,0.997 +169833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.800492007,0.997 +169834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.418088845,0.997 +169835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.840909586,0.997 +169836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.767074483,0.997 +169838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.555614192,0.997 +169837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.15761554,0.997 +169839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.85549684,0.997 +169840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.588968511,0.997 +169841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.773513585,0.997 +169842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.743272295,0.997 +169845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.231035191,0.997 +169844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.649459088,0.997 +169846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.269685011,0.997 +169843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.242465383,0.997 +169848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.198335908,0.997 +169849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.059230354,0.997 +169850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.802244905,0.997 +169851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.032977887,0.997 +169852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.120982307,0.997 +169853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.596769543,0.997 +169855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.198649429,0.997 +169854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.66297846,0.997 +169847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.139832819,0.997 +169856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.363660979,0.997 +169858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.233196283,0.997 +169857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.646524677,0.997 +169859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.073639918,0.997 +169862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.293055818,0.997 +169860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.007376459,0.997 +169863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.479887401,0.997 +169861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.85232588,0.997 +169864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.128726512,0.997 +169865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,9.594262958,0.997 +169866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.485190891,0.997 +169867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.914096837,0.997 +169868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.985579183,0.997 +169869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.59220427,0.997 +169871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,7.750567813,0.997 +169872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.428749037,0.997 +169874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.859967189,0.997 +169870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.603620523,0.997 +169873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,10.46118853,0.997 +169877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.983399269,0.997 +169876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.015752354,0.997 +169875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.021238499,0.997 +169879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.674459705,0.997 +169878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.215273816,0.997 +169881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.866042995,0.997 +169880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.987788818,0.997 +169882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.619179337,0.997 +169885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.773405914,0.997 +169884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.06170881,0.997 +169883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.360906195,0.997 +169887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.572288504,0.997 +169889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.008273911,0.997 +169888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.232616276,0.997 +169886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.212377212,0.997 +169892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.766515658,0.997 +169890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.053563003,0.997 +169891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.452041106,0.997 +169893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.067542939,0.997 +169895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.313292868,0.997 +169896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.629049304,0.997 +169894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.293031614,0.997 +169897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.229581823,0.997 +169898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.13027254,0.997 +169899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.298025774,0.997 +169901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.393766646,0.997 +169900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.741748862,0.997 +169903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.901331277,0.997 +169902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.288302211,0.997 +169905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.729727319,0.997 +169906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.500246094,0.997 +169904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.323899944,0.997 +169907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.086116271,0.997 +169910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.008356495,0.997 +169909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.096055599,0.997 +169911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,9.681522777,0.997 +169912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.274064862,0.997 +169914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.824508298,0.997 +169913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.526681823,0.997 +169908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.70307477,0.997 +169916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.866953405,0.997 +169917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,10.44274149,0.997 +169915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.675296203,0.997 +169918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.579214206,0.997 +169919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.682533405,0.997 +169920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,8.989195619,0.997 +169921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.408306038,0.997 +169922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.117192204,0.997 +169923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.734366194,0.997 +169924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.581617338,0.997 +169925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.898445364,0.997 +169926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.007124334,0.997 +169927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.62371415,0.997 +169928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.223479301,0.997 +169929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.690476541,0.997 +169931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.059209885,0.997 +169932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.721529681,0.997 +169933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.253163636,0.997 +169934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.984552901,0.997 +169936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.933729431,0.997 +169930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,8.382713123,0.997 +169935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.408636352,0.997 +169938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.089432913,0.997 +169939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.005056179,0.997 +169937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.760696243,0.997 +169940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.778414044,0.997 +169942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.871064619,0.997 +169941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.059949627,0.997 +169943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.094864672,0.997 +169944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,7.284214449,0.997 +169945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.670030549,0.997 +169947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,5.63311891,0.997 +169946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.405227295,0.997 +169948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.798414231,0.997 +169949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.836358798,0.997 +169950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.547629522,0.997 +169952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.549845969,0.997 +169953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.585259537,0.997 +169955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.774329149,0.997 +169951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.04584211,0.997 +169956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.659936784,0.997 +169957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.999124461,0.997 +169954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.773999771,0.997 +169958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.406462813,0.997 +169959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.767940658,0.997 +169960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.809455485,0.997 +169961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.905295725,0.997 +169962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,8.544137953,0.997 +169963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.257522378,0.997 +169964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.399849325,0.997 +169966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.600825367,0.997 +169965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.960468237,0.997 +169967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.308043804,0.997 +169968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.9368202,0.997 +169970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.885712312,0.997 +169969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.965844705,0.997 +169971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.579546196,0.997 +169972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.584930705,0.997 +169975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,8.684344228,0.997 +169974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,7.249933488,0.997 +169976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.683705833,0.997 +169973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.274833817,0.997 +169977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.616695094,0.997 +169978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.162016577,0.997 +169979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.782939784,0.997 +169980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.046330296,0.997 +169982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,0.896538885,0.997 +169981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.743519556,0.997 +169983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.563437693,0.997 +169984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.62778466,0.997 +169986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.714894166,0.997 +169987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.816170583,0.997 +169985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.982939219,0.997 +169988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.788877664,0.997 +169989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.491832278,0.997 +169990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.278489873,0.997 +169991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,7.367653834,0.997 +169993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.671073339,0.997 +169994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.380412138,0.997 +169995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.789208859,0.997 +169992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,3.107228112,0.997 +169997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,2.506966595,0.997 +169996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,6.350461489,0.997 +169999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.534798191,0.997 +170000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,4.82412498,0.997 +169998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.6,10,1,1.812332924,0.997 +179001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,8.756161171,0.981 +179002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.147969993,0.981 +179003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.066927666,0.981 +179004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.378075148,0.981 +179006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.048198539,0.981 +179005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.721405086,0.981 +179007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.398183524,0.981 +179008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.963865954,0.981 +179009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.388946311,0.981 +179010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.520844242,0.981 +179011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.12236169,0.981 +179012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.764745365,0.981 +179013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.147574427,0.981 +179014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,17.60024758,0.981 +179016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,8.673342166,0.981 +179017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,8.20543145,0.981 +179018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.51118811,0.981 +179015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.235772062,0.981 +179019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.580287596,0.981 +179020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.211801429,0.981 +179021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.968946851,0.981 +179022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.382280902,0.981 +179023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.43411988,0.981 +179024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.667437446,0.981 +179025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.664989356,0.981 +179026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.267475823,0.981 +179027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,11.87488267,0.981 +179028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.711128643,0.981 +179029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.940496573,0.981 +179031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,-0.531241683,0.981 +179032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.815790899,0.981 +179033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.628782312,0.981 +179034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.19300546,0.981 +179030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.419284122,0.981 +179035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.574488105,0.981 +179036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.06643628,0.981 +179037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.224389729,0.981 +179039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.150622865,0.981 +179040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.547027219,0.981 +179038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.792796157,0.981 +179041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.501450347,0.981 +179042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,8.92320152,0.981 +179043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.961406808,0.981 +179045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.505969298,0.981 +179044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.117609824,0.981 +179046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.243623489,0.981 +179047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,8.203498172,0.981 +179048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.66884883,0.981 +179049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.031711852,0.981 +179050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.386748731,0.981 +179051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.134085848,0.981 +179052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.719233965,0.981 +179055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.014464382,0.981 +179054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.237279318,0.981 +179053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.961147463,0.981 +179056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.782393586,0.981 +179058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.30127327,0.981 +179057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.367241482,0.981 +179059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.951936582,0.981 +179060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.714360947,0.981 +179062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.232904254,0.981 +179061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.688151928,0.981 +179064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.410703668,0.981 +179063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.805232819,0.981 +179065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.96283408,0.981 +179066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,10.79088047,0.981 +179067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.920615294,0.981 +179069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.215218286,0.981 +179070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.403889352,0.981 +179068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.472402073,0.981 +179071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.147192008,0.981 +179073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.045316825,0.981 +179072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.343568138,0.981 +179075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.983179156,0.981 +179076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.59307226,0.981 +179077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.632891793,0.981 +179078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.234021336,0.981 +179079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.52559344,0.981 +179080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.581089628,0.981 +179081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.173983649,0.981 +179082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.159235686,0.981 +179083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.974721076,0.981 +179074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.387879357,0.981 +179086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.492719408,0.981 +179084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.723468645,0.981 +179085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.848352218,0.981 +179088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.29940458,0.981 +179087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.087167199,0.981 +179089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.835211112,0.981 +179090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.037578939,0.981 +179091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.373815033,0.981 +179092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.611039327,0.981 +179094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.931576562,0.981 +179093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.564963048,0.981 +179095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.841193205,0.981 +179098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,-0.431067072,0.981 +179096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.297946876,0.981 +179097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.865001932,0.981 +179099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,-1.253304601,0.981 +179102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.604226582,0.981 +179100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.490737828,0.981 +179101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.890253089,0.981 +179103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.427380823,0.981 +179104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.429439254,0.981 +179105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.161790046,0.981 +179107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.091120905,0.981 +179106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.766492031,0.981 +179108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,8.237044356,0.981 +179109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.74550909,0.981 +179110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.55391378,0.981 +179111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.43491932,0.981 +179112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.271263447,0.981 +179113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.552490785,0.981 +179116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.953576754,0.981 +179114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.82969586,0.981 +179115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.857304019,0.981 +179117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.118520802,0.981 +179119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.090337558,0.981 +179118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.108652935,0.981 +179120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.140297175,0.981 +179121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.531630569,0.981 +179122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.361557151,0.981 +179123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.173305149,0.981 +179125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.729702508,0.981 +179124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.730477691,0.981 +179126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.920581995,0.981 +179127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.610204419,0.981 +179128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.39031701,0.981 +179129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.558096365,0.981 +179130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.961641301,0.981 +179131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.981359604,0.981 +179132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.776443316,0.981 +179134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.724461323,0.981 +179135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.225892312,0.981 +179136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.953544458,0.981 +179133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.734135266,0.981 +179137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.651412512,0.981 +179138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.215373304,0.981 +179139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.836255769,0.981 +179141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.572877175,0.981 +179140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.635180779,0.981 +179143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.231330468,0.981 +179142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.995033752,0.981 +179144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.571615076,0.981 +179147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.674041734,0.981 +179146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.152931897,0.981 +179145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.72910632,0.981 +179148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.919917351,0.981 +179151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.695532618,0.981 +179149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.651811002,0.981 +179150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.331054284,0.981 +179152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,8.645002132,0.981 +179154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.065562747,0.981 +179155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.262071984,0.981 +179156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.981504058,0.981 +179157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.785333981,0.981 +179158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.323861591,0.981 +179153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.992138471,0.981 +179159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.353617463,0.981 +179160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.43537758,0.981 +179161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.524819001,0.981 +179162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,8.012492491,0.981 +179164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.827791315,0.981 +179163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.737808554,0.981 +179165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.36785279,0.981 +179168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,-0.656524638,0.981 +179166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.806057959,0.981 +179167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.927736813,0.981 +179169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.216542163,0.981 +179171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.000203006,0.981 +179172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.860397472,0.981 +179173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,-1.360603714,0.981 +179170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.428459851,0.981 +179174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.12762134,0.981 +179175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.675530215,0.981 +179176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,9.336522976,0.981 +179178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.607261415,0.981 +179179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.333509973,0.981 +179177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.571486168,0.981 +179180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.960234597,0.981 +179182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.926358839,0.981 +179181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.475685532,0.981 +179184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.307109832,0.981 +179183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.041067049,0.981 +179185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.011149067,0.981 +179186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.271534051,0.981 +179187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.90928437,0.981 +179188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.765693664,0.981 +179190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.561801794,0.981 +179189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.109196153,0.981 +179191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.636942617,0.981 +179192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.277058377,0.981 +179193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.665751573,0.981 +179194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.06952151,0.981 +179195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,8.15579142,0.981 +179198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.970371348,0.981 +179197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.906007811,0.981 +179199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.612963695,0.981 +179200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.44157636,0.981 +179201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.799657185,0.981 +179202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.054934267,0.981 +179196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.280371847,0.981 +179203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.14456025,0.981 +179204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.36269167,0.981 +179205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.21811694,0.981 +179207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.709842655,0.981 +179208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.033450548,0.981 +179206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.544605882,0.981 +179209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,10.14030408,0.981 +179210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.447666895,0.981 +179212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.468121068,0.981 +179211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.296889994,0.981 +179214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.637623164,0.981 +179215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.360733118,0.981 +179213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,8.291945793,0.981 +179216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.706976514,0.981 +179217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.050470307,0.981 +179219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.419319415,0.981 +179221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,10.3007459,0.981 +179220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.693765092,0.981 +179222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.725346376,0.981 +179224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.545907868,0.981 +179218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.163909126,0.981 +179223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,10.3024115,0.981 +179225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.131851765,0.981 +179227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,9.748129024,0.981 +179228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.979449663,0.981 +179226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.706540993,0.981 +179230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.271478107,0.981 +179231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.837618002,0.981 +179232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.793364327,0.981 +179229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.609892331,0.981 +179233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,14.24697998,0.981 +179234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.826847751,0.981 +179235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,9.21713713,0.981 +179238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.1705385,0.981 +179236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.1958561,0.981 +179239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.488358637,0.981 +179237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.033272331,0.981 +179241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.717975556,0.981 +179242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.916102445,0.981 +179243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.95276649,0.981 +179240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.073347898,0.981 +179244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.973431766,0.981 +179245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.587005619,0.981 +179246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.227179197,0.981 +179247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.865488215,0.981 +179250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.517895435,0.981 +179249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.016121295,0.981 +179251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.029896231,0.981 +179248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.555597934,0.981 +179252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.653059307,0.981 +179254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,8.320859681,0.981 +179253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,9.116771222,0.981 +179255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.748444418,0.981 +179257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.247472209,0.981 +179256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.518804254,0.981 +179259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.103827871,0.981 +179258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.784174745,0.981 +179261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.075776731,0.981 +179262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.572910371,0.981 +179263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,8.408288472,0.981 +179264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,9.490470309,0.981 +179260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.124517051,0.981 +179266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,13.86927912,0.981 +179267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.688934356,0.981 +179268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.959149864,0.981 +179265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.317869784,0.981 +179271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.791349076,0.981 +179272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.351443345,0.981 +179269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.478842974,0.981 +179270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,8.486715667,0.981 +179273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.745255757,0.981 +179274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.094009584,0.981 +179276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.995413901,0.981 +179275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.378045717,0.981 +179278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.506697998,0.981 +179279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.49763023,0.981 +179277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.881220268,0.981 +179280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.883875685,0.981 +179282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.009706665,0.981 +179283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.727616543,0.981 +179281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.597338878,0.981 +179284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.970402658,0.981 +179285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.151255673,0.981 +179286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.566055863,0.981 +179287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.009205289,0.981 +179289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.401647277,0.981 +179290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.176391338,0.981 +179291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.392100038,0.981 +179292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.845206324,0.981 +179293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.875908701,0.981 +179294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.096507191,0.981 +179288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.841037297,0.981 +179295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.585874069,0.981 +179297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.108532973,0.981 +179299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.622182689,0.981 +179296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,11.50813077,0.981 +179298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.947643022,0.981 +179302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.470322082,0.981 +179303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.689101798,0.981 +179300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.164977854,0.981 +179301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.023074215,0.981 +179304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.221874397,0.981 +179305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.770346637,0.981 +179306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.671091781,0.981 +179307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.194860104,0.981 +179308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.330369263,0.981 +179310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.376798727,0.981 +179311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.185209244,0.981 +179313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.014033055,0.981 +179314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.85893687,0.981 +179309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.747190785,0.981 +179312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.303775456,0.981 +179316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.330347779,0.981 +179315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.335594255,0.981 +179317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.289706288,0.981 +179318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.104887929,0.981 +179319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,-0.358957086,0.981 +179320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,10.95953777,0.981 +179321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.709141936,0.981 +179322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.927015352,0.981 +179323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.758657713,0.981 +179324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.679162304,0.981 +179326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.911287894,0.981 +179325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.710019927,0.981 +179327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.253759997,0.981 +179328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.720628156,0.981 +179329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.793946498,0.981 +179332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.64662096,0.981 +179330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.498194049,0.981 +179331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.286871709,0.981 +179333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.900751944,0.981 +179334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.866102261,0.981 +179336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.076238464,0.981 +179337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.579860446,0.981 +179335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.643362948,0.981 +179339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.829593401,0.981 +179338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,8.045033258,0.981 +179340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.795685665,0.981 +179341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.300470162,0.981 +179342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.743142159,0.981 +179343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.190326989,0.981 +179344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.366146499,0.981 +179345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.086391986,0.981 +179347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.45535519,0.981 +179346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.668241924,0.981 +179348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.053861159,0.981 +179350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.586431652,0.981 +179351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.97364737,0.981 +179352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.132240694,0.981 +179349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,-0.670937781,0.981 +179353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.635907455,0.981 +179354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.971055559,0.981 +179355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.227116135,0.981 +179356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.362452602,0.981 +179357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.737035097,0.981 +179358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.466007921,0.981 +179359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.373355603,0.981 +179360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.686555914,0.981 +179361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.732273442,0.981 +179362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.371065334,0.981 +179365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.067846972,0.981 +179363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.338637266,0.981 +179366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.261776925,0.981 +179367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.623706181,0.981 +179368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.164478002,0.981 +179369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.926892504,0.981 +179364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.58578199,0.981 +179370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.489240093,0.981 +179371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.399449947,0.981 +179372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,8.215766685,0.981 +179374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.823963028,0.981 +179375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.613467546,0.981 +179373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.207508527,0.981 +179376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.258490314,0.981 +179379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.303008835,0.981 +179377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.494939277,0.981 +179380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.377034087,0.981 +179378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.918913982,0.981 +179382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.281116195,0.981 +179381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.444630447,0.981 +179383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,8.453517823,0.981 +179384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,10.98203771,0.981 +179385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.044636863,0.981 +179387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.151754646,0.981 +179388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.527995388,0.981 +179389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.284162286,0.981 +179386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.174907851,0.981 +179390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.218915589,0.981 +179391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.582602444,0.981 +179392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,-0.095886992,0.981 +179393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.179534857,0.981 +179395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.523856561,0.981 +179394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.484782731,0.981 +179396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.985383307,0.981 +179397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.51427214,0.981 +179398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.323210034,0.981 +179399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.541518873,0.981 +179400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.599396983,0.981 +179401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.865898737,0.981 +179402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.568122778,0.981 +179403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.64445664,0.981 +179404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.479269333,0.981 +179406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.843661408,0.981 +179407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.197476617,0.981 +179408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,-0.100219461,0.981 +179409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.632534994,0.981 +179410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.277281437,0.981 +179405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.418009898,0.981 +179411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.059573102,0.981 +179412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.811831693,0.981 +179413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.00998465,0.981 +179414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.348019144,0.981 +179415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,8.807918261,0.981 +179416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.656752911,0.981 +179417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.96385459,0.981 +179418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.861700775,0.981 +179419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.490266876,0.981 +179420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,8.71779119,0.981 +179421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.558538563,0.981 +179422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.198192781,0.981 +179423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.49512061,0.981 +179424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.595486979,0.981 +179426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.461644836,0.981 +179428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.342724884,0.981 +179425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.857218304,0.981 +179427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.685302866,0.981 +179430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,9.409103652,0.981 +179429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.624602266,0.981 +179431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.298189397,0.981 +179433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.266174347,0.981 +179434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.732585197,0.981 +179432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.518599466,0.981 +179435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.760233385,0.981 +179437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.230871088,0.981 +179436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.74392557,0.981 +179438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.498336645,0.981 +179439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.189869268,0.981 +179441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.439205616,0.981 +179440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.141077966,0.981 +179442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.746386924,0.981 +179444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,-0.912131122,0.981 +179445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.377523857,0.981 +179446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.129093085,0.981 +179447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.697842558,0.981 +179448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.325201681,0.981 +179443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.303551604,0.981 +179450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.457605778,0.981 +179451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.21208843,0.981 +179452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.874452481,0.981 +179449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.734915193,0.981 +179454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,-0.070541365,0.981 +179453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.374955338,0.981 +179455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.101434235,0.981 +179456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,8.123418117,0.981 +179458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.59562651,0.981 +179457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,8.478823006,0.981 +179460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.77742914,0.981 +179461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,10.29112106,0.981 +179462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.788483601,0.981 +179459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.458944383,0.981 +179463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.622677063,0.981 +179464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.897745078,0.981 +179465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.701582725,0.981 +179468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.293967984,0.981 +179469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.453479148,0.981 +179466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.227882151,0.981 +179467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.3996646,0.981 +179472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.303563152,0.981 +179470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.933844733,0.981 +179471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.640561034,0.981 +179473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.347496651,0.981 +179475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.140621738,0.981 +179474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.093113051,0.981 +179476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.840010808,0.981 +179477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.10337457,0.981 +179478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.472532815,0.981 +179479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.468534596,0.981 +179480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.283792832,0.981 +179481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.026661856,0.981 +179482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,-1.059312109,0.981 +179484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.554649181,0.981 +179486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.671043691,0.981 +179485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.012480918,0.981 +179483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.329526631,0.981 +179487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.627947261,0.981 +179488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.781696944,0.981 +179489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.409546255,0.981 +179490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.661871917,0.981 +179491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.428625524,0.981 +179493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,10.51586936,0.981 +179492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.286528998,0.981 +179495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.817765208,0.981 +179494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,15.75998169,0.981 +179496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.111045937,0.981 +179497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.717674826,0.981 +179498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.087890501,0.981 +179499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.04270336,0.981 +179500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.14684454,0.981 +179502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.176100913,0.981 +179501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.137631624,0.981 +179503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.157874606,0.981 +179504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.993213415,0.981 +179505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.730903659,0.981 +179508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.236617172,0.981 +179507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.855486791,0.981 +179506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,11.18397976,0.981 +179509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.625919973,0.981 +179510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.514019114,0.981 +179511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.919203214,0.981 +179513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.64089158,0.981 +179512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,9.751959269,0.981 +179514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.562557949,0.981 +179515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.485298982,0.981 +179516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.239357705,0.981 +179517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,9.027805014,0.981 +179518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,9.392865005,0.981 +179520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.182737598,0.981 +179519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.615920755,0.981 +179521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.120675832,0.981 +179522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.170220471,0.981 +179523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.569502616,0.981 +179524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.139872025,0.981 +179526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.901774499,0.981 +179528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.325042354,0.981 +179527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.140538229,0.981 +179529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.412791919,0.981 +179525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.812820409,0.981 +179530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.133806872,0.981 +179532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.260105344,0.981 +179533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.110787906,0.981 +179534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.030059884,0.981 +179535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.767682569,0.981 +179536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.197842959,0.981 +179537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.792928124,0.981 +179531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.258044294,0.981 +179538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.407312458,0.981 +179539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.931187263,0.981 +179541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.131733388,0.981 +179540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.30151783,0.981 +179542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.133994224,0.981 +179544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,-0.243441159,0.981 +179545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.683970923,0.981 +179543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.558238446,0.981 +179546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.481212079,0.981 +179547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.082991316,0.981 +179549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.35146889,0.981 +179548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.693115083,0.981 +179550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.104991965,0.981 +179552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.094881301,0.981 +179553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.5065644,0.981 +179554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.474325955,0.981 +179551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.669834578,0.981 +179556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.922913427,0.981 +179555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.072308213,0.981 +179557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.458837691,0.981 +179559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.764955843,0.981 +179558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.485913894,0.981 +179561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.403683477,0.981 +179560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.322635644,0.981 +179563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.282307506,0.981 +179564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.023797916,0.981 +179562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,-0.799042558,0.981 +179565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,8.222125428,0.981 +179566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.896832551,0.981 +179567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.546545803,0.981 +179568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.278857522,0.981 +179569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.461792057,0.981 +179571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,8.51753825,0.981 +179572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.967975022,0.981 +179573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.655274159,0.981 +179570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.126753318,0.981 +179574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.142855554,0.981 +179575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.370934062,0.981 +179576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,14.86848664,0.981 +179577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.242928374,0.981 +179579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.478284114,0.981 +179578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.689560769,0.981 +179580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.349994696,0.981 +179582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.693146439,0.981 +179583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.291610963,0.981 +179581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.897424561,0.981 +179584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.484793923,0.981 +179585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.314561195,0.981 +179586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.480983829,0.981 +179587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.119495406,0.981 +179588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.216159201,0.981 +179589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.942595648,0.981 +179590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.289447363,0.981 +179592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.045793146,0.981 +179591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,10.56080732,0.981 +179593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.571852675,0.981 +179594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.364841021,0.981 +179597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.111967459,0.981 +179595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.345527671,0.981 +179596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.568424202,0.981 +179598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.973956381,0.981 +179600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.066980267,0.981 +179599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.651761824,0.981 +179601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.055694882,0.981 +179602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.750481284,0.981 +179603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.749752363,0.981 +179604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.106213298,0.981 +179606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.301785313,0.981 +179605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.330977415,0.981 +179607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.786062443,0.981 +179609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,-3.041632575,0.981 +179608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.426929604,0.981 +179611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.826250565,0.981 +179612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.598910626,0.981 +179613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.236219671,0.981 +179614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.973043628,0.981 +179615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.877840688,0.981 +179610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,9.129532015,0.981 +179616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.378913122,0.981 +179617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.69082735,0.981 +179618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.409075677,0.981 +179620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.84575779,0.981 +179622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.207372328,0.981 +179621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.052693805,0.981 +179619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.768693222,0.981 +179623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.072689538,0.981 +179626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.821785912,0.981 +179624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.694407111,0.981 +179625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.922246595,0.981 +179628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.939504026,0.981 +179630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,12.94786725,0.981 +179629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.505890199,0.981 +179627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.358189173,0.981 +179632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.833345276,0.981 +179633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.177888038,0.981 +179634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,8.525355905,0.981 +179636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.203459632,0.981 +179635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.627929597,0.981 +179637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.818439933,0.981 +179631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.217967185,0.981 +179638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.933362928,0.981 +179639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.500738879,0.981 +179641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,12.75402448,0.981 +179640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.080340472,0.981 +179642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.813477251,0.981 +179643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.247513634,0.981 +179644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,8.662135825,0.981 +179646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.819531006,0.981 +179647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.92805331,0.981 +179648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.807014043,0.981 +179649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.143299152,0.981 +179645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.060632462,0.981 +179650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.314592291,0.981 +179653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.17092897,0.981 +179651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.528741246,0.981 +179652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.397111473,0.981 +179654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.844827402,0.981 +179655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.419537045,0.981 +179657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.360384192,0.981 +179658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.329383825,0.981 +179659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.181539561,0.981 +179656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.528110301,0.981 +179660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.184666633,0.981 +179661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.915150111,0.981 +179663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.060888406,0.981 +179664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.470910376,0.981 +179665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.01638177,0.981 +179662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.744944677,0.981 +179666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.273176239,0.981 +179667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,-1.05936094,0.981 +179669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.600844192,0.981 +179668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.17347986,0.981 +179670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.507461968,0.981 +179672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.799666709,0.981 +179671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.597053998,0.981 +179673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.441339769,0.981 +179674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.86797641,0.981 +179675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,8.713372405,0.981 +179676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,8.110527689,0.981 +179677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.830168528,0.981 +179680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.624349342,0.981 +179681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.367766152,0.981 +179678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,10.3272599,0.981 +179682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.514610584,0.981 +179679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.929897319,0.981 +179686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.778601082,0.981 +179683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.044064536,0.981 +179684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.927035148,0.981 +179685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.072599812,0.981 +179688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.202798393,0.981 +179687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.402145612,0.981 +179689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.352873885,0.981 +179690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.440386866,0.981 +179691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.541820456,0.981 +179692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.509735612,0.981 +179694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.695845937,0.981 +179693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.84703491,0.981 +179695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.977199816,0.981 +179697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.950650426,0.981 +179698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.416294205,0.981 +179696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.771698853,0.981 +179699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.529569406,0.981 +179700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.324128709,0.981 +179702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.251781525,0.981 +179703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.410871183,0.981 +179704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.881264273,0.981 +179705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.962704572,0.981 +179706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,10.9543543,0.981 +179701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.332706363,0.981 +179707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.413082255,0.981 +179708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.020720489,0.981 +179709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.498933795,0.981 +179711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.793620919,0.981 +179712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.575287416,0.981 +179713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.657947626,0.981 +179710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.439482568,0.981 +179717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.898426132,0.981 +179714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.553844781,0.981 +179716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.92900721,0.981 +179715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.793380322,0.981 +179719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.812554383,0.981 +179720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.539999642,0.981 +179721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,-0.299378696,0.981 +179718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.115110948,0.981 +179723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,9.253428368,0.981 +179722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.722047721,0.981 +179724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.924671537,0.981 +179727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.140819354,0.981 +179726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.852001342,0.981 +179728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.308350606,0.981 +179725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.135712532,0.981 +179729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.715407916,0.981 +179730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.327763064,0.981 +179732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,9.298675981,0.981 +179731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.200629039,0.981 +179733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.737976651,0.981 +179734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.449174308,0.981 +179736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.012221679,0.981 +179735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.748729337,0.981 +179737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.048891183,0.981 +179738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.888064535,0.981 +179739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.936141307,0.981 +179740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.341460001,0.981 +179741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.378742437,0.981 +179742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.876129481,0.981 +179743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.266676266,0.981 +179745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.377707983,0.981 +179746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.324537982,0.981 +179747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.582087712,0.981 +179744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.922720208,0.981 +179748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.07050438,0.981 +179749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.402972289,0.981 +179750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,11.06656552,0.981 +179751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.868478176,0.981 +179752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.509678804,0.981 +179753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.523003495,0.981 +179754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.207511499,0.981 +179755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.324788518,0.981 +179756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.923167724,0.981 +179757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.89583955,0.981 +179758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.316848244,0.981 +179760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.731888025,0.981 +179761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.688600302,0.981 +179762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.799712283,0.981 +179759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.539134768,0.981 +179764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.000390353,0.981 +179765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.024787099,0.981 +179766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.521276171,0.981 +179767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.258411699,0.981 +179768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.783289131,0.981 +179769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.402525943,0.981 +179763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.668452996,0.981 +179770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.324574525,0.981 +179771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.049860136,0.981 +179772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.425967461,0.981 +179774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.030790561,0.981 +179773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.175979396,0.981 +179775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.746808952,0.981 +179776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.753388217,0.981 +179777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.912974598,0.981 +179778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.725651886,0.981 +179779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.638580087,0.981 +179780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.177502731,0.981 +179781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.990041277,0.981 +179782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.742689158,0.981 +179783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.231111994,0.981 +179785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.515557932,0.981 +179784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.367780925,0.981 +179787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,18.82298137,0.981 +179786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.990302004,0.981 +179789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.417171702,0.981 +179788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.790005079,0.981 +179790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.818418786,0.981 +179793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.126237843,0.981 +179791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.177570879,0.981 +179794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.211218233,0.981 +179795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.764292873,0.981 +179796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.140924785,0.981 +179792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.191976572,0.981 +179797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.521831932,0.981 +179798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.705806712,0.981 +179799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.211520001,0.981 +179800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.985227763,0.981 +179802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.265077521,0.981 +179801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.138925342,0.981 +179803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,11.52854288,0.981 +179804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.037249497,0.981 +179806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,-0.188941977,0.981 +179805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.965917075,0.981 +179807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.227026762,0.981 +179808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,8.53316753,0.981 +179809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.438054751,0.981 +179810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,12.96787522,0.981 +179811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.425829372,0.981 +179813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.064026808,0.981 +179814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.053771965,0.981 +179815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.295219206,0.981 +179816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.527857195,0.981 +179817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.03187285,0.981 +179818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.392087638,0.981 +179812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.231829603,0.981 +179822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.068151823,0.981 +179819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.712190139,0.981 +179820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,9.692707352,0.981 +179821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.051106355,0.981 +179823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.194457367,0.981 +179825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.619721365,0.981 +179824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.691895798,0.981 +179826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.668296681,0.981 +179827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,8.730008681,0.981 +179828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,10.56160832,0.981 +179829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.417569294,0.981 +179830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.256262459,0.981 +179832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.405969734,0.981 +179833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.753368448,0.981 +179834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.311898859,0.981 +179836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.109086264,0.981 +179837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.592690984,0.981 +179831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.498836452,0.981 +179835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.88715647,0.981 +179838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.132997905,0.981 +179839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.022311749,0.981 +179840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.193510742,0.981 +179841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.748879567,0.981 +179843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,9.147016759,0.981 +179842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.40479162,0.981 +179844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,9.937369977,0.981 +179845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.943707746,0.981 +179846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.76385766,0.981 +179847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.953968486,0.981 +179848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.027210295,0.981 +179850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.940491558,0.981 +179851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.860458052,0.981 +179849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.246937603,0.981 +179852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.1815464,0.981 +179853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.174258398,0.981 +179855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.534638364,0.981 +179854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.481677893,0.981 +179856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.402322204,0.981 +179857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.722709806,0.981 +179860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.113695439,0.981 +179859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.972055427,0.981 +179858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.700574519,0.981 +179861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.511809883,0.981 +179862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.813145428,0.981 +179863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.115998113,0.981 +179865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.418203523,0.981 +179864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.193063465,0.981 +179866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.620981814,0.981 +179867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.132263004,0.981 +179871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.262934281,0.981 +179870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.999601623,0.981 +179868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.632449953,0.981 +179869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.330665261,0.981 +179873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.89675974,0.981 +179872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.971266565,0.981 +179874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.408006102,0.981 +179876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.746841523,0.981 +179877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.495900645,0.981 +179878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.330113742,0.981 +179875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.419845291,0.981 +179879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.094815746,0.981 +179881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.82619017,0.981 +179880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.514665395,0.981 +179882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.717204812,0.981 +179883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.741817553,0.981 +179885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.167393337,0.981 +179886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.236664563,0.981 +179887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.233542131,0.981 +179888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.029544295,0.981 +179884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.168127821,0.981 +179890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,8.927260497,0.981 +179891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.925219222,0.981 +179892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.381338528,0.981 +179889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,10.0919487,0.981 +179893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.764863114,0.981 +179894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,-0.805264545,0.981 +179895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.614081164,0.981 +179896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.088697749,0.981 +179899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.150147761,0.981 +179897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.730422391,0.981 +179898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.172233359,0.981 +179900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.792672697,0.981 +179903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.99265577,0.981 +179902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.460559631,0.981 +179904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.088993461,0.981 +179901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.977617981,0.981 +179905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.660085411,0.981 +179906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.125625633,0.981 +179908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.596158741,0.981 +179909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.697955037,0.981 +179910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.524314249,0.981 +179911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.990612283,0.981 +179907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.273204142,0.981 +179912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,10.76306357,0.981 +179913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.749717092,0.981 +179914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.0148464,0.981 +179915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.071194603,0.981 +179916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.068978159,0.981 +179917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.130230458,0.981 +179918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.020997212,0.981 +179919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.680649997,0.981 +179920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.243130692,0.981 +179921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.714042656,0.981 +179923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.690364066,0.981 +179924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.781091988,0.981 +179925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.405601617,0.981 +179922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.598603061,0.981 +179927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.017498951,0.981 +179928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.935672805,0.981 +179929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.76582258,0.981 +179926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.397739463,0.981 +179930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.048868034,0.981 +179931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.799721986,0.981 +179932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.108538105,0.981 +179933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.674086067,0.981 +179934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.031756666,0.981 +179935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.665245402,0.981 +179936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.204543896,0.981 +179938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.772039213,0.981 +179937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.635884985,0.981 +179939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.012181094,0.981 +179941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.187922632,0.981 +179940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.625143346,0.981 +179942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.99282279,0.981 +179943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.572386297,0.981 +179945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.844122118,0.981 +179944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.770434974,0.981 +179946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.037143472,0.981 +179947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.798363965,0.981 +179948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.922865477,0.981 +179949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.234261785,0.981 +179951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.692331919,0.981 +179950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.658579459,0.981 +179952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.216835357,0.981 +179953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.310947922,0.981 +179954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.01459532,0.981 +179955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.95028558,0.981 +179957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.362364388,0.981 +179958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.532063573,0.981 +179959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.7222872,0.981 +179956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.990931848,0.981 +179960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.010942584,0.981 +179961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.572787814,0.981 +179962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.268058409,0.981 +179963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,8.704402618,0.981 +179964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.152630836,0.981 +179965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.221865794,0.981 +179967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.728857826,0.981 +179968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.026792971,0.981 +179969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.639338484,0.981 +179966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.105137427,0.981 +179970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.675260877,0.981 +179971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.919187824,0.981 +179972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.910280159,0.981 +179973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.869474088,0.981 +179975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.576588265,0.981 +179974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.315836086,0.981 +179976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.987851757,0.981 +179977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,8.126949838,0.981 +179979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.467730291,0.981 +179978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.039742946,0.981 +179980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.051292599,0.981 +179983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.035889004,0.981 +179982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.528554132,0.981 +179984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,9.805613133,0.981 +179985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.788567247,0.981 +179986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.544942506,0.981 +179987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.60308075,0.981 +179981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,5.361744657,0.981 +179988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.337841233,0.981 +179989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,6.152678779,0.981 +179990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,7.052212341,0.981 +179991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,17.77094869,0.981 +179992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,0.159718133,0.981 +179993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.732707667,0.981 +179994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.106458448,0.981 +179995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.062194657,0.981 +179996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,4.005474217,0.981 +179997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.8020296,0.981 +179999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,3.271248395,0.981 +179998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,2.611964926,0.981 +180000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.7,10,1,1.364464493,0.981 +189002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.976250122,0.919 +189001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.919190043,0.919 +189003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.682874308,0.919 +189004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.617651725,0.919 +189005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.482104706,0.919 +189007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.569167536,0.919 +189009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.574875253,0.919 +189008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,10.35179175,0.919 +189010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.705913628,0.919 +189006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,11.57051158,0.919 +189012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.378248784,0.919 +189011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.457927969,0.919 +189014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.444020146,0.919 +189013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,14.55655211,0.919 +189015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.157688184,0.919 +189016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,9.110882705,0.919 +189017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.183771864,0.919 +189018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.585237291,0.919 +189019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.284389272,0.919 +189020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-4.567062531,0.919 +189022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.350557742,0.919 +189021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.747906824,0.919 +189023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.912809463,0.919 +189025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.969122234,0.919 +189024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.55293417,0.919 +189028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.925523708,0.919 +189029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.839173673,0.919 +189026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,8.771031077,0.919 +189027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.643273513,0.919 +189031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.006390096,0.919 +189030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.305555211,0.919 +189033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.595624928,0.919 +189032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.563643218,0.919 +189034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.004417108,0.919 +189035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.489520351,0.919 +189036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.339587041,0.919 +189038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.149853797,0.919 +189040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.837663831,0.919 +189039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.44243147,0.919 +189037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.717089315,0.919 +189041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.192410257,0.919 +189044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.409638392,0.919 +189043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.335553748,0.919 +189042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.387321117,0.919 +189045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.813396282,0.919 +189047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.074879048,0.919 +189046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.26145503,0.919 +189048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.243617893,0.919 +189049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.972247275,0.919 +189050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.69E-04,0.919 +189051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.624902359,0.919 +189052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,8.173098468,0.919 +189053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.038736497,0.919 +189054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-4.252297181,0.919 +189056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,8.02162809,0.919 +189055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.513702807,0.919 +189057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.350727484,0.919 +189058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.887319355,0.919 +189059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.504539663,0.919 +189061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.033479721,0.919 +189062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.669548898,0.919 +189063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.803176639,0.919 +189060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.702657778,0.919 +189065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.413834493,0.919 +189064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.255021959,0.919 +189066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.463454789,0.919 +189069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.117604829,0.919 +189068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.265924716,0.919 +189070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,8.419471562,0.919 +189067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.319591321,0.919 +189071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,10.71148201,0.919 +189073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.298270524,0.919 +189072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,8.202002715,0.919 +189074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.646017558,0.919 +189075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.240068013,0.919 +189076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,9.44608912,0.919 +189077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.268591949,0.919 +189078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.413632179,0.919 +189079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-2.673480734,0.919 +189080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.775978886,0.919 +189081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.652501953,0.919 +189083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.336043262,0.919 +189084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.433551104,0.919 +189085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.667226333,0.919 +189087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.033760213,0.919 +189088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.779398501,0.919 +189086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,11.12103815,0.919 +189082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.583716779,0.919 +189091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.819032414,0.919 +189092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.403920859,0.919 +189090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.339993745,0.919 +189089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.895437751,0.919 +189093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.754940262,0.919 +189095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.622535867,0.919 +189096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.694449733,0.919 +189094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.235270822,0.919 +189098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.598239364,0.919 +189097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.536936287,0.919 +189099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.304061169,0.919 +189100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.769267382,0.919 +189102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.438895409,0.919 +189101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.275404491,0.919 +189103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.261394029,0.919 +189105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.587667616,0.919 +189104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.866824238,0.919 +189107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,9.044099556,0.919 +189108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.873231879,0.919 +189109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.654770624,0.919 +189110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.762744681,0.919 +189111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-1.115743135,0.919 +189106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.110549875,0.919 +189112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.305056791,0.919 +189113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,10.40195508,0.919 +189114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.283600208,0.919 +189116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-2.503173902,0.919 +189115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,11.05344357,0.919 +189117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.155523533,0.919 +189118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,13.55789323,0.919 +189120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.178210001,0.919 +189119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-2.323835322,0.919 +189122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.859166541,0.919 +189123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.988473928,0.919 +189124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.326543648,0.919 +189121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-1.790523703,0.919 +189125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.242881831,0.919 +189127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.960602056,0.919 +189128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.012390374,0.919 +189129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.667947656,0.919 +189126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.555823811,0.919 +189130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.225090381,0.919 +189131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.724628038,0.919 +189133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.910816218,0.919 +189132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.561635003,0.919 +189134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.544803908,0.919 +189136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.252574612,0.919 +189137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.234819774,0.919 +189138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.808676833,0.919 +189135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,13.78223065,0.919 +189139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.873938696,0.919 +189140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.409855379,0.919 +189141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.896324921,0.919 +189142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.19911197,0.919 +189143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.838662369,0.919 +189144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.950611835,0.919 +189145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.930358027,0.919 +189146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.151682525,0.919 +189148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.30746963,0.919 +189147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.436023332,0.919 +189150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.549817709,0.919 +189149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-1.975562035,0.919 +189152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.956419251,0.919 +189151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.055837313,0.919 +189154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.192187598,0.919 +189156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.603709497,0.919 +189155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.786137009,0.919 +189157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.165812709,0.919 +189153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.21191792,0.919 +189158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,12.33724491,0.919 +189159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,9.286901706,0.919 +189160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.084116606,0.919 +189161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.742748582,0.919 +189162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.363263017,0.919 +189164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.150560781,0.919 +189163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.059049105,0.919 +189166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.481602724,0.919 +189165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.775721582,0.919 +189167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,8.684905722,0.919 +189168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.077977569,0.919 +189171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.02073956,0.919 +189169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.554835256,0.919 +189170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.635915123,0.919 +189172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.34574087,0.919 +189173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-2.743399404,0.919 +189174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.504206181,0.919 +189176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.338903725,0.919 +189178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.253700437,0.919 +189177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.858642028,0.919 +189175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.593531579,0.919 +189179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.296129558,0.919 +189180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,9.821287218,0.919 +189181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.725512549,0.919 +189182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.280348465,0.919 +189183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.792113961,0.919 +189184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.563810626,0.919 +189185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.640360713,0.919 +189186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,8.083081394,0.919 +189187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.962775172,0.919 +189188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,9.82606145,0.919 +189189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-1.235220298,0.919 +189190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.105003392,0.919 +189191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.852689116,0.919 +189192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.196478109,0.919 +189193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.251326218,0.919 +189195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,13.6484892,0.919 +189196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.152615023,0.919 +189194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.542273824,0.919 +189197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.285651895,0.919 +189198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,8.967711421,0.919 +189199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.39298876,0.919 +189200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.174326078,0.919 +189201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.387238986,0.919 +189202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.841460697,0.919 +189203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.587680085,0.919 +189204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.561582376,0.919 +189205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.738309543,0.919 +189206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.506904069,0.919 +189207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.544652748,0.919 +189209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.557187842,0.919 +189211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.92788121,0.919 +189208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,13.21589366,0.919 +189210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.966749838,0.919 +189212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.624648304,0.919 +189213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-1.258099418,0.919 +189215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.787413176,0.919 +189216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,11.97857923,0.919 +189214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.76613375,0.919 +189217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.116555937,0.919 +189218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.430855542,0.919 +189219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.36748941,0.919 +189221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.646106402,0.919 +189222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.930053533,0.919 +189223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.884149229,0.919 +189224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.096666004,0.919 +189220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,10.76131926,0.919 +189225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.758114435,0.919 +189226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.74527422,0.919 +189228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.090181997,0.919 +189227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.177076882,0.919 +189229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.296102048,0.919 +189230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.073379715,0.919 +189232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.736268571,0.919 +189233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.9145925,0.919 +189234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.146547845,0.919 +189235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,8.793455519,0.919 +189231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-1.115885548,0.919 +189236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.656491602,0.919 +189237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.585354229,0.919 +189238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.473220044,0.919 +189239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.638184912,0.919 +189240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.993048915,0.919 +189242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.176556981,0.919 +189241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.471275986,0.919 +189243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.386447622,0.919 +189244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,10.15351246,0.919 +189245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.416806903,0.919 +189246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.334284805,0.919 +189247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.016135358,0.919 +189249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.506806998,0.919 +189248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.43313304,0.919 +189250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.807281998,0.919 +189251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.003029587,0.919 +189253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.404272106,0.919 +189252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.460269404,0.919 +189254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.603639423,0.919 +189256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.910522947,0.919 +189257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.238016639,0.919 +189258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.681365748,0.919 +189255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.117108014,0.919 +189260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,9.788845126,0.919 +189259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.719764499,0.919 +189261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-2.3031448,0.919 +189263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.386366201,0.919 +189264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.528319285,0.919 +189262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.953050667,0.919 +189265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.463953638,0.919 +189266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.550142428,0.919 +189267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-3.310001371,0.919 +189269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.352287966,0.919 +189268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,8.76798618,0.919 +189271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-1.142586554,0.919 +189270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,8.407666232,0.919 +189272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.681849389,0.919 +189274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.879551828,0.919 +189276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.943728206,0.919 +189273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.781654218,0.919 +189275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.074289803,0.919 +189278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.42905212,0.919 +189277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.942632936,0.919 +189279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.478862864,0.919 +189280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,8.385685668,0.919 +189281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.699956277,0.919 +189284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.774635216,0.919 +189282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.09663764,0.919 +189285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.128242781,0.919 +189283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,10.7198377,0.919 +189286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.919197021,0.919 +189287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.523017156,0.919 +189289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.037987097,0.919 +189290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,15.68518679,0.919 +189288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-1.007198676,0.919 +189293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.977168043,0.919 +189291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.001421225,0.919 +189294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.186320433,0.919 +189292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.044792059,0.919 +189295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.148797115,0.919 +189297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.800535301,0.919 +189296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.008627443,0.919 +189299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.459247536,0.919 +189300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.566742246,0.919 +189298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.365744778,0.919 +189301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-3.358165221,0.919 +189302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.194279427,0.919 +189304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.289057428,0.919 +189303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.783797776,0.919 +189306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.080324772,0.919 +189307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.31032331,0.919 +189308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.578369868,0.919 +189305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.21950843,0.919 +189309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.172064344,0.919 +189311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.637992021,0.919 +189310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.802218613,0.919 +189313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,10.27086672,0.919 +189314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.690436845,0.919 +189312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.440384107,0.919 +189315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.279107787,0.919 +189319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.983147552,0.919 +189316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.772274031,0.919 +189318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,11.81298509,0.919 +189317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,9.82246338,0.919 +189320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.165317016,0.919 +189321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.072242239,0.919 +189323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.829233469,0.919 +189322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.398079682,0.919 +189325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.469238423,0.919 +189326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.49503962,0.919 +189324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.364114414,0.919 +189328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.207697708,0.919 +189329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.803215837,0.919 +189330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,9.280727683,0.919 +189327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.369074027,0.919 +189331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.56841983,0.919 +189332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,9.122157355,0.919 +189334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.414187855,0.919 +189333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.185731641,0.919 +189335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.955737881,0.919 +189336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.291449162,0.919 +189338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.834645413,0.919 +189339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.05866381,0.919 +189337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.354190845,0.919 +189340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.881748114,0.919 +189342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.550062153,0.919 +189341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,10.73143282,0.919 +189343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.586125978,0.919 +189344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.835305939,0.919 +189345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.224272158,0.919 +189347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.677457498,0.919 +189348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.581936383,0.919 +189346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.32453017,0.919 +189349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,9.524083509,0.919 +189351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.999632794,0.919 +189350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.755653688,0.919 +189353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.433752398,0.919 +189352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.288429706,0.919 +189354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,10.61554433,0.919 +189355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.973103933,0.919 +189356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.415731878,0.919 +189357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.5071575,0.919 +189359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.71970338,0.919 +189358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,9.888414516,0.919 +189360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.867313133,0.919 +189361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.666258131,0.919 +189362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.878138542,0.919 +189363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.651897881,0.919 +189364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.199126797,0.919 +189366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.466847832,0.919 +189367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-1.16947772,0.919 +189368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.531892471,0.919 +189369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.336212422,0.919 +189365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.791726717,0.919 +189370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.64979828,0.919 +189371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.332686785,0.919 +189372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.773040071,0.919 +189374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.361693327,0.919 +189375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.742837716,0.919 +189376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.298665911,0.919 +189373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.512276353,0.919 +189380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.841624189,0.919 +189377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.967170778,0.919 +189378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.421226851,0.919 +189379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.886738989,0.919 +189382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.383769632,0.919 +189381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-1.979548135,0.919 +189383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.922365483,0.919 +189384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,8.634029066,0.919 +189385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.356975986,0.919 +189387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.329345509,0.919 +189388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.840780417,0.919 +189389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.4965335,0.919 +189390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.157675497,0.919 +189391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.165274546,0.919 +189386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.282738353,0.919 +189392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.081925179,0.919 +189393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.873460748,0.919 +189395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.514382122,0.919 +189394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.661822365,0.919 +189396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.338508934,0.919 +189397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.225705666,0.919 +189398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.005457054,0.919 +189400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.082810124,0.919 +189399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.246377753,0.919 +189401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.052481564,0.919 +189404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.141569056,0.919 +189402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.273714963,0.919 +189405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.142757586,0.919 +189403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.079371432,0.919 +189406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.886156053,0.919 +189408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.020202439,0.919 +189409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-3.257704988,0.919 +189407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.608154349,0.919 +189410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.238655804,0.919 +189411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.503022593,0.919 +189412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,8.828895879,0.919 +189414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.897359711,0.919 +189413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.948105935,0.919 +189415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.44676784,0.919 +189416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.201621119,0.919 +189417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-1.257262859,0.919 +189419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.416024127,0.919 +189420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.264247012,0.919 +189418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.528017381,0.919 +189421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.268731363,0.919 +189422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.051511015,0.919 +189424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.954851447,0.919 +189423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.207323591,0.919 +189425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.857625221,0.919 +189426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.66176641,0.919 +189428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.245253908,0.919 +189429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.691631916,0.919 +189430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.410409361,0.919 +189431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.202258599,0.919 +189432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.652372488,0.919 +189433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.549550395,0.919 +189427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.289666097,0.919 +189434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.866787505,0.919 +189435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.818853125,0.919 +189436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.047189467,0.919 +189438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.5983231,0.919 +189437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.978782539,0.919 +189439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.009913687,0.919 +189440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.569909297,0.919 +189441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.057082172,0.919 +189442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.354368551,0.919 +189444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.400245428,0.919 +189443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.15246141,0.919 +189445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.102226286,0.919 +189448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.574018267,0.919 +189447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.049592469,0.919 +189449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.384646531,0.919 +189450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.705805289,0.919 +189451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.302876073,0.919 +189446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.035304628,0.919 +189452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.372782046,0.919 +189454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.520216294,0.919 +189453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.85997453,0.919 +189455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.858276358,0.919 +189456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.514932228,0.919 +189457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,9.519588596,0.919 +189460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.536704026,0.919 +189458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.108078275,0.919 +189459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.166733079,0.919 +189461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.678283388,0.919 +189463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.294903685,0.919 +189462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.934196076,0.919 +189464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,9.156487466,0.919 +189465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.036256577,0.919 +189466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.272936692,0.919 +189467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.441861166,0.919 +189470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.783131104,0.919 +189469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.110287193,0.919 +189471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.550095714,0.919 +189468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.265902885,0.919 +189472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.912112273,0.919 +189473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.554344547,0.919 +189474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,15.14887014,0.919 +189475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.591037274,0.919 +189477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.391744817,0.919 +189476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.235821022,0.919 +189478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.472271021,0.919 +189479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.741273182,0.919 +189481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.556777905,0.919 +189482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.359172242,0.919 +189480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.499869583,0.919 +189484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.638317519,0.919 +189486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.340719308,0.919 +189485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,13.3252651,0.919 +189483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.177643565,0.919 +189488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.626979764,0.919 +189489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,9.723269667,0.919 +189490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.483247318,0.919 +189491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.593765846,0.919 +189492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.434424152,0.919 +189487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.639637627,0.919 +189493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,13.09898257,0.919 +189494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.306658153,0.919 +189495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.228168926,0.919 +189496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.612581254,0.919 +189497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,9.558770797,0.919 +189498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.159008045,0.919 +189499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,8.313608014,0.919 +189500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-1.693691407,0.919 +189502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.453286308,0.919 +189501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.339338804,0.919 +189503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.415885689,0.919 +189504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.740489823,0.919 +189505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.091729836,0.919 +189506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.63885049,0.919 +189507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.002900154,0.919 +189509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.043492903,0.919 +189510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.730021744,0.919 +189511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.605508315,0.919 +189508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.718124216,0.919 +189512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.690567681,0.919 +189513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.101463979,0.919 +189515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-1.36428648,0.919 +189514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.862601184,0.919 +189516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.365069016,0.919 +189518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.549054496,0.919 +189517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.300980326,0.919 +189519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,8.952323168,0.919 +189521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.663788186,0.919 +189520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.559806122,0.919 +189522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.26212421,0.919 +189523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.1594232,0.919 +189525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.198692706,0.919 +189527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.868437255,0.919 +189524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.040941141,0.919 +189528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.927130848,0.919 +189526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.831851034,0.919 +189530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.755123374,0.919 +189529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.351088492,0.919 +189531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.626834625,0.919 +189533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,8.353244887,0.919 +189534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.791995768,0.919 +189535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-2.125691084,0.919 +189532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.464536297,0.919 +189536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.772197705,0.919 +189537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,8.168817455,0.919 +189538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.36959838,0.919 +189539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.369035623,0.919 +189541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.19503,0.919 +189542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.037892293,0.919 +189543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.123414185,0.919 +189540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.13473953,0.919 +189545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,14.64135006,0.919 +189544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.446249876,0.919 +189546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.031287883,0.919 +189547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.319894339,0.919 +189548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.674894957,0.919 +189549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-1.608818301,0.919 +189551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.92047529,0.919 +189554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.833755759,0.919 +189552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.358806365,0.919 +189553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.668460684,0.919 +189550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.757713707,0.919 +189555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,9.842665184,0.919 +189557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.666211198,0.919 +189556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.525958411,0.919 +189558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,11.7069018,0.919 +189560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.470776527,0.919 +189559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.191890716,0.919 +189561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.810441026,0.919 +189563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.565511911,0.919 +189564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.700139961,0.919 +189562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,11.39224707,0.919 +189566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.853586021,0.919 +189565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.766804873,0.919 +189567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.940845256,0.919 +189568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.244816728,0.919 +189569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.917117662,0.919 +189571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.794421603,0.919 +189572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.54870635,0.919 +189573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.81338594,0.919 +189574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.485600668,0.919 +189575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.818401786,0.919 +189570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.598950153,0.919 +189577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.795633793,0.919 +189579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.433063173,0.919 +189576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.76787072,0.919 +189578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.616254293,0.919 +189582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,8.268424076,0.919 +189580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.145509113,0.919 +189583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.830274383,0.919 +189581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.284212981,0.919 +189584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.207879028,0.919 +189586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.873847257,0.919 +189585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.741319447,0.919 +189587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.466499893,0.919 +189589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.613543486,0.919 +189588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.273436349,0.919 +189590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.137713774,0.919 +189592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,9.135464359,0.919 +189593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.288349191,0.919 +189594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.129360858,0.919 +189591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.335119756,0.919 +189595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,9.163279972,0.919 +189596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.109883726,0.919 +189597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.140822672,0.919 +189598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.415866794,0.919 +189600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.133003327,0.919 +189599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.946791451,0.919 +189601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.273843405,0.919 +189602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.590054604,0.919 +189604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.639835729,0.919 +189603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.813580702,0.919 +189605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.873437099,0.919 +189607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.473879742,0.919 +189606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-2.358842186,0.919 +189608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.533176587,0.919 +189609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.607953728,0.919 +189610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.141885202,0.919 +189612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.598677984,0.919 +189614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.886105911,0.919 +189613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.682809646,0.919 +189615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.743159493,0.919 +189611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-2.402467823,0.919 +189616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.024645105,0.919 +189617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.993105306,0.919 +189618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.153843859,0.919 +189621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.756238395,0.919 +189619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.995413675,0.919 +189622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.450126908,0.919 +189620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.709458526,0.919 +189623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.245086916,0.919 +189624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.539575653,0.919 +189625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.341448349,0.919 +189626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.413731579,0.919 +189627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.731748582,0.919 +189628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-2.280233443,0.919 +189629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,8.099540384,0.919 +189630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.829606669,0.919 +189631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.375203751,0.919 +189634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.830474758,0.919 +189633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,8.52993888,0.919 +189635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.978817742,0.919 +189636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.786161579,0.919 +189632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-2.988135452,0.919 +189638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.189387364,0.919 +189637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.27314528,0.919 +189639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.110632112,0.919 +189640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.257876706,0.919 +189641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.517288372,0.919 +189642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,13.52905544,0.919 +189643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.027390513,0.919 +189644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.263298208,0.919 +189646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.09951491,0.919 +189645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.156062251,0.919 +189647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.023244385,0.919 +189648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.692253843,0.919 +189649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.322592011,0.919 +189650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.009495458,0.919 +189651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,9.810618262,0.919 +189654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.271337398,0.919 +189653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.182923337,0.919 +189652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.384455009,0.919 +189656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.884526318,0.919 +189657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,9.208463568,0.919 +189658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,11.43149376,0.919 +189659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.138145136,0.919 +189655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,10.61744786,0.919 +189660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.948704844,0.919 +189662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.792145798,0.919 +189661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.200129427,0.919 +189664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.546030192,0.919 +189663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.609073912,0.919 +189665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.074091404,0.919 +189667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.951573602,0.919 +189668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.520801013,0.919 +189666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,8.049847984,0.919 +189669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.207549599,0.919 +189670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.443738564,0.919 +189671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.734622542,0.919 +189672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.076737493,0.919 +189674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.299114172,0.919 +189673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.048688598,0.919 +189675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.509127479,0.919 +189677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.484997588,0.919 +189678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.744369419,0.919 +189676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.086054834,0.919 +189680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.339610582,0.919 +189681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.044398767,0.919 +189682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.815425839,0.919 +189679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.425422637,0.919 +189685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.675616969,0.919 +189686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.358260118,0.919 +189683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.379592453,0.919 +189684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.095965204,0.919 +189688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.519415364,0.919 +189689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.019095782,0.919 +189687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.916973397,0.919 +189690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.393192254,0.919 +189692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.128358733,0.919 +189694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.393035891,0.919 +189693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.217029995,0.919 +189695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.618720348,0.919 +189691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.261898992,0.919 +189696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.127241476,0.919 +189697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.590725646,0.919 +189699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.449411513,0.919 +189698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.781941991,0.919 +189702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.3759832,0.919 +189700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.639667776,0.919 +189703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.79095907,0.919 +189705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.449507135,0.919 +189704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.031080891,0.919 +189701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.883953596,0.919 +189706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.145767801,0.919 +189708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.916787395,0.919 +189707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,9.980118601,0.919 +189710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.818266539,0.919 +189712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-1.1072427,0.919 +189709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.754852342,0.919 +189711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.599371978,0.919 +189715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.581980203,0.919 +189713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.050803322,0.919 +189714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.652775946,0.919 +189716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.271644582,0.919 +189718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.400026232,0.919 +189717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.735759575,0.919 +189719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.309046709,0.919 +189720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.586024421,0.919 +189721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.253454769,0.919 +189723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.457007136,0.919 +189724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.53675611,0.919 +189725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.478112587,0.919 +189726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.204645955,0.919 +189722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.394843388,0.919 +189727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.439885204,0.919 +189730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.281217546,0.919 +189729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.793018446,0.919 +189728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.042138788,0.919 +189731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.298007709,0.919 +189732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.539201643,0.919 +189734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.974659837,0.919 +189733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.728371431,0.919 +189735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.331504183,0.919 +189737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.877377377,0.919 +189738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.890244662,0.919 +189736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.926577979,0.919 +189739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,8.957739954,0.919 +189740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.506770554,0.919 +189741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.087706222,0.919 +189743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.921643851,0.919 +189742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,9.757494469,0.919 +189744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.298087379,0.919 +189745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.445945535,0.919 +189746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.230133127,0.919 +189748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.240922018,0.919 +189749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.603101934,0.919 +189747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.503989268,0.919 +189750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.208668991,0.919 +189752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.292437587,0.919 +189751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.314636891,0.919 +189753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.264804239,0.919 +189754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.742865902,0.919 +189755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.76051822,0.919 +189756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.663718802,0.919 +189758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.629323851,0.919 +189757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.618628062,0.919 +189760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.603238892,0.919 +189759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.172289551,0.919 +189761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.531045387,0.919 +189762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.011521037,0.919 +189763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.10050774,0.919 +189764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.698439952,0.919 +189765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.100705331,0.919 +189766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,9.662967514,0.919 +189768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.863573185,0.919 +189767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.473201911,0.919 +189769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.258267747,0.919 +189770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.278701747,0.919 +189771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.508542721,0.919 +189772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.09728659,0.919 +189773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.472100246,0.919 +189774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.313132879,0.919 +189775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,8.246558821,0.919 +189776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.008524629,0.919 +189777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,10.80115582,0.919 +189779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.189858686,0.919 +189778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.460134854,0.919 +189781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.492170943,0.919 +189780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,9.843834983,0.919 +189782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.353518582,0.919 +189783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.652730493,0.919 +189784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.606091993,0.919 +189785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.455600084,0.919 +189786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.010830546,0.919 +189787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.988466129,0.919 +189789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.114383902,0.919 +189788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.390877346,0.919 +189790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,11.50715604,0.919 +189793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.617877506,0.919 +189792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.655469467,0.919 +189794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.323715062,0.919 +189795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.246459038,0.919 +189791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.274840842,0.919 +189797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,10.1083086,0.919 +189798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.692025262,0.919 +189796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.680970739,0.919 +189799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.092544914,0.919 +189800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.617590404,0.919 +189801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.581074502,0.919 +189803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.553882971,0.919 +189804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.765725503,0.919 +189802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.216862933,0.919 +189805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.925475277,0.919 +189808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.002008028,0.919 +189806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.103502725,0.919 +189809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.073866835,0.919 +189807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.723304435,0.919 +189810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.674304238,0.919 +189811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.643039397,0.919 +189812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.193965212,0.919 +189813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,8.737671074,0.919 +189816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.582420908,0.919 +189815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.496333225,0.919 +189817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.525101331,0.919 +189818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.955525926,0.919 +189814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.315180012,0.919 +189819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,12.28390957,0.919 +189820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.863414551,0.919 +189821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,8.203538221,0.919 +189822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.626675217,0.919 +189824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.345077328,0.919 +189823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.016138903,0.919 +189825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,12.59898524,0.919 +189827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.889795956,0.919 +189828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.735918689,0.919 +189829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,12.07469371,0.919 +189830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.82971567,0.919 +189831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.318273257,0.919 +189826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.386908449,0.919 +189834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,9.4831933,0.919 +189832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.204993409,0.919 +189835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.98534082,0.919 +189833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.326737447,0.919 +189837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,9.531696827,0.919 +189836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.326742341,0.919 +189838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,13.89107068,0.919 +189840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.934757745,0.919 +189841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.521935034,0.919 +189842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.002052452,0.919 +189839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.413595072,0.919 +189844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.133258677,0.919 +189843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.598934539,0.919 +189846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.337184952,0.919 +189847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.304552626,0.919 +189849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.846189438,0.919 +189845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.051538416,0.919 +189848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.507131816,0.919 +189851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.032686136,0.919 +189850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.437284339,0.919 +189852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.659761154,0.919 +189853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.453313481,0.919 +189854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.907232823,0.919 +189855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.688427803,0.919 +189856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,11.36365632,0.919 +189857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.252151238,0.919 +189858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.877199622,0.919 +189859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.062037879,0.919 +189860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.694546819,0.919 +189861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.884980948,0.919 +189862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.249137229,0.919 +189864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.106016658,0.919 +189865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.524791452,0.919 +189866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.464809261,0.919 +189863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.441412694,0.919 +189868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.812338735,0.919 +189870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.642856865,0.919 +189867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.750914931,0.919 +189869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.792922707,0.919 +189871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.012295942,0.919 +189872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.758324199,0.919 +189873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.103914659,0.919 +189874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.845052402,0.919 +189877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.820818728,0.919 +189878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.6647114,0.919 +189876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.64663131,0.919 +189875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.590247433,0.919 +189879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-1.64947625,0.919 +189880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.505241603,0.919 +189882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.05763495,0.919 +189881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.545098096,0.919 +189883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.213530162,0.919 +189884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.553497078,0.919 +189885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.073429901,0.919 +189886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.734318909,0.919 +189887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,13.60143919,0.919 +189888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.493902342,0.919 +189889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.01516069,0.919 +189890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.955501944,0.919 +189891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.443042904,0.919 +189892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.277086406,0.919 +189895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.15365919,0.919 +189896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.051678414,0.919 +189893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.718319545,0.919 +189894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.802154384,0.919 +189898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.699886253,0.919 +189899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.150728602,0.919 +189897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,8.06808643,0.919 +189900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.611578131,0.919 +189902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.52431139,0.919 +189901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.239072346,0.919 +189903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.520748933,0.919 +189904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.398295354,0.919 +189907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.848606056,0.919 +189905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.561127445,0.919 +189906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.393761086,0.919 +189911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,11.21994502,0.919 +189909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.62000505,0.919 +189908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.965135873,0.919 +189910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.870662602,0.919 +189912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.737332946,0.919 +189913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.423479291,0.919 +189914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.072584391,0.919 +189915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.668005546,0.919 +189916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.283464329,0.919 +189917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.847163085,0.919 +189918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.680079003,0.919 +189920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.806537772,0.919 +189919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.481357267,0.919 +189921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.668715095,0.919 +189922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.834442456,0.919 +189923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,9.256136091,0.919 +189924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.069860192,0.919 +189925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,10.43227524,0.919 +189926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,10.18141976,0.919 +189927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.387019441,0.919 +189928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.195903873,0.919 +189929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.52910808,0.919 +189931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.318776895,0.919 +189932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.388645917,0.919 +189933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.781488014,0.919 +189934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.400205506,0.919 +189935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.595909105,0.919 +189930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.287455722,0.919 +189937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.376504449,0.919 +189938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.874712469,0.919 +189936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.496921855,0.919 +189940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.750542979,0.919 +189941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,13.57882574,0.919 +189939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.418292452,0.919 +189942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.645216341,0.919 +189943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.31217189,0.919 +189945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.360246418,0.919 +189944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.066723559,0.919 +189946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.585124084,0.919 +189947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.401922064,0.919 +189949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.748881698,0.919 +189948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,14.68221744,0.919 +189950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.230165612,0.919 +189951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.207555513,0.919 +189953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.840256835,0.919 +189955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.069210151,0.919 +189952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.930595263,0.919 +189954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,8.647280815,0.919 +189958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.306929673,0.919 +189957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.357047674,0.919 +189956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.655805574,0.919 +189959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.517323113,0.919 +189960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.542332438,0.919 +189961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.281023144,0.919 +189962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,10.80807128,0.919 +189963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.400004215,0.919 +189965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.893247107,0.919 +189966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.781641939,0.919 +189967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-2.532653511,0.919 +189969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.694002024,0.919 +189968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.00412145,0.919 +189964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.463624355,0.919 +189971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.088891607,0.919 +189972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.525179948,0.919 +189973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,9.225615473,0.919 +189970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.570738446,0.919 +189976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.702595408,0.919 +189975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.615051058,0.919 +189974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.755592093,0.919 +189977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.323656904,0.919 +189978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.012404888,0.919 +189979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.177148158,0.919 +189980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.709243178,0.919 +189981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.247331832,0.919 +189983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.70751457,0.919 +189984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.687688623,0.919 +189985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,10.94875477,0.919 +189986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.918063625,0.919 +189987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,2.514493819,0.919 +189982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.509540923,0.919 +189989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.087489144,0.919 +189988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,11.80838246,0.919 +189990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.35521164,0.919 +189991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.744739403,0.919 +189992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,1.383855522,0.919 +189993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,6.711820007,0.919 +189994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,4.449844482,0.919 +189995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.620689642,0.919 +189996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,5.762262785,0.919 +189997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,0.314090347,0.919 +189998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,3.958947267,0.919 +189999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,-0.162814124,0.919 +190000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.8,10,1,7.571361833,0.919 +199001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.661112525,0.85 +199002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.802055369,0.85 +199003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.946587881,0.85 +199004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,10.08744908,0.85 +199005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,11.55713325,0.85 +199006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.962451876,0.85 +199007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.579919353,0.85 +199008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.480911665,0.85 +199009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,11.12650525,0.85 +199010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-1.871211977,0.85 +199011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.199335139,0.85 +199012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.842924511,0.85 +199013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.556171545,0.85 +199014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.760718443,0.85 +199015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.861016348,0.85 +199017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.03157412,0.85 +199018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.254895047,0.85 +199019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.449669063,0.85 +199020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.669437057,0.85 +199016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.12044169,0.85 +199021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.250166913,0.85 +199023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.319761688,0.85 +199024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.057516741,0.85 +199025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.489111516,0.85 +199027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.628217879,0.85 +199026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.881313083,0.85 +199028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,12.6730341,0.85 +199029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.865922801,0.85 +199030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.483610579,0.85 +199022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.3985504,0.85 +199031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.604379896,0.85 +199032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.735241785,0.85 +199034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.214013139,0.85 +199035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.669110081,0.85 +199033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.525705195,0.85 +199037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.588700655,0.85 +199036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.427878799,0.85 +199038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.184864871,0.85 +199039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,12.29728775,0.85 +199040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-1.168286561,0.85 +199042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.672230875,0.85 +199041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.264173539,0.85 +199043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.647005901,0.85 +199044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.772211099,0.85 +199045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.307722839,0.85 +199046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.800821097,0.85 +199049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.498941306,0.85 +199048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.153135867,0.85 +199050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.055498338,0.85 +199047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.929164512,0.85 +199052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.130243694,0.85 +199053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,12.79076862,0.85 +199054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.913588105,0.85 +199051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.269109902,0.85 +199055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.183484531,0.85 +199056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.834651562,0.85 +199058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,13.96877095,0.85 +199057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.29055072,0.85 +199059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.215743229,0.85 +199061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.486556269,0.85 +199060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.175911078,0.85 +199062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-3.482147116,0.85 +199063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.125875984,0.85 +199064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.200973485,0.85 +199065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.639814524,0.85 +199067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,10.34674137,0.85 +199068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.369416252,0.85 +199066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,17.00672742,0.85 +199070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.138336686,0.85 +199072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,12.78308666,0.85 +199069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,12.14546878,0.85 +199071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,10.28494442,0.85 +199073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.339964941,0.85 +199074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,14.12354544,0.85 +199076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.543490875,0.85 +199077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.331892051,0.85 +199075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.297033376,0.85 +199079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.760214271,0.85 +199078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.109382713,0.85 +199080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.567129065,0.85 +199081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.366124991,0.85 +199084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,11.6929171,0.85 +199083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.43050291,0.85 +199085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.10162594,0.85 +199082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,12.04357605,0.85 +199086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.668752383,0.85 +199087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-1.250361003,0.85 +199090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,10.25582166,0.85 +199089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.883142846,0.85 +199088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.145638029,0.85 +199091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.769532114,0.85 +199092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.837988192,0.85 +199093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-1.694559402,0.85 +199095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.312796936,0.85 +199094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.922714125,0.85 +199097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.338089436,0.85 +199096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.823052852,0.85 +199099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.078355323,0.85 +199098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.247491836,0.85 +199100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.999659865,0.85 +199101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-1.304428053,0.85 +199102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.6372831,0.85 +199103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.471226047,0.85 +199105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.832326482,0.85 +199106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.005399212,0.85 +199107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.227987968,0.85 +199104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.905508544,0.85 +199108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.222133611,0.85 +199110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.994836235,0.85 +199109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.631644935,0.85 +199111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.291380112,0.85 +199112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.012215031,0.85 +199114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.767014132,0.85 +199115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.361667143,0.85 +199113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.693954704,0.85 +199118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.437761167,0.85 +199117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.788947989,0.85 +199116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.036234143,0.85 +199119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.754869988,0.85 +199122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.42675039,0.85 +199121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.553893719,0.85 +199123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.38480887,0.85 +199124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,17.14310532,0.85 +199120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.299169301,0.85 +199126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,10.37295331,0.85 +199125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.144424916,0.85 +199128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.372688752,0.85 +199127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.981763255,0.85 +199130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,15.44204826,0.85 +199131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.005314115,0.85 +199132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.341756335,0.85 +199129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.296238324,0.85 +199133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.229428875,0.85 +199134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.97312982,0.85 +199135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.39712912,0.85 +199137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.451904776,0.85 +199136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.874391588,0.85 +199139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.415905248,0.85 +199138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.09016788,0.85 +199141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,10.88543973,0.85 +199140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.933574438,0.85 +199143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.007987237,0.85 +199142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.650433156,0.85 +199145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.123616235,0.85 +199146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,9.718413275,0.85 +199147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.481657426,0.85 +199144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.815012586,0.85 +199148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.906079688,0.85 +199149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.154016254,0.85 +199150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-6.611007473,0.85 +199152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.051124114,0.85 +199153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.054922945,0.85 +199151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.128492021,0.85 +199154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.302870019,0.85 +199157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.516066579,0.85 +199156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.715822577,0.85 +199155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.218270532,0.85 +199158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.12986649,0.85 +199160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.383030996,0.85 +199159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-2.659804292,0.85 +199161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,13.02867794,0.85 +199162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.584790611,0.85 +199163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.658270901,0.85 +199165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.158607866,0.85 +199166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-2.853746956,0.85 +199167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.265344157,0.85 +199168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.884635249,0.85 +199164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.108171155,0.85 +199169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.842284783,0.85 +199171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,10.02667073,0.85 +199172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.880035752,0.85 +199173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.551690607,0.85 +199170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.111882362,0.85 +199175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.216820739,0.85 +199174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.287677311,0.85 +199177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-1.301651884,0.85 +199176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.692025696,0.85 +199178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.044543902,0.85 +199179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.613413823,0.85 +199180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.329802256,0.85 +199181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.644288254,0.85 +199183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,9.468564771,0.85 +199184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.839857435,0.85 +199185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.175347682,0.85 +199187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-1.419980112,0.85 +199186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.727061956,0.85 +199188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.985732273,0.85 +199182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.597462251,0.85 +199191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.313029315,0.85 +199192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.78237944,0.85 +199190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.545521988,0.85 +199189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,9.582946907,0.85 +199193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.575154585,0.85 +199195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.103607558,0.85 +199196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.20431505,0.85 +199194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.587264073,0.85 +199197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.704646644,0.85 +199198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.765420746,0.85 +199200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.631298352,0.85 +199199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.512407773,0.85 +199201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,10.252529,0.85 +199202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.085773771,0.85 +199203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.122054804,0.85 +199205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.811679914,0.85 +199206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-1.650125116,0.85 +199207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.222997713,0.85 +199204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.163665988,0.85 +199208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.368458735,0.85 +199209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.415198292,0.85 +199210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.05819461,0.85 +199211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-2.187675601,0.85 +199212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.21025457,0.85 +199213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,10.50576743,0.85 +199214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.768566991,0.85 +199216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.678300859,0.85 +199215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.287222951,0.85 +199217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.4056631,0.85 +199218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.753224953,0.85 +199219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.31425037,0.85 +199220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.886860879,0.85 +199222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.711705315,0.85 +199223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.097031187,0.85 +199221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.53416918,0.85 +199225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-1.476209458,0.85 +199226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.224161036,0.85 +199227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.8364696,0.85 +199224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.425000137,0.85 +199228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.231470232,0.85 +199229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,9.216995601,0.85 +199230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.962720527,0.85 +199233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.145102423,0.85 +199234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.030142903,0.85 +199232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-1.037570931,0.85 +199231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.720501866,0.85 +199236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.182181931,0.85 +199237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.594971151,0.85 +199238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.883536382,0.85 +199235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.007626716,0.85 +199241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.365217085,0.85 +199242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.706691728,0.85 +199240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-3.130733868,0.85 +199244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,9.204946919,0.85 +199239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.780167047,0.85 +199246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.3271621,0.85 +199245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.455210231,0.85 +199247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.041944176,0.85 +199243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-2.429800142,0.85 +199248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.478288378,0.85 +199249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.147714975,0.85 +199250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.076524762,0.85 +199251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.638361753,0.85 +199254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.389657675,0.85 +199252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.838576346,0.85 +199255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.777770804,0.85 +199253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.938095391,0.85 +199257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.178730217,0.85 +199258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.72354184,0.85 +199256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,10.32415285,0.85 +199261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.429441392,0.85 +199260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.614941819,0.85 +199262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.030347723,0.85 +199259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.67534967,0.85 +199264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.148846033,0.85 +199265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.499727341,0.85 +199266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.373061831,0.85 +199263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.854702128,0.85 +199268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.260418271,0.85 +199267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.677175752,0.85 +199269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.636587229,0.85 +199270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.967538408,0.85 +199272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.753937171,0.85 +199274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-4.841249867,0.85 +199271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.062328147,0.85 +199275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.072728889,0.85 +199276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.419800409,0.85 +199277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,12.18845652,0.85 +199273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.06004379,0.85 +199278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.609308252,0.85 +199280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,11.3659713,0.85 +199281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.179690708,0.85 +199282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,11.74223092,0.85 +199279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.361036233,0.85 +199283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-3.782250402,0.85 +199284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.431358407,0.85 +199285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.993670588,0.85 +199286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.327775887,0.85 +199287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.843396067,0.85 +199288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.699715315,0.85 +199289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.720099796,0.85 +199290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.410543217,0.85 +199294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.522155093,0.85 +199293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.106636421,0.85 +199291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.623235906,0.85 +199295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.078005453,0.85 +199296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.885051647,0.85 +199297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.290926775,0.85 +199292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.87625067,0.85 +199298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.79934578,0.85 +199300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,12.59170228,0.85 +199299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.2015189,0.85 +199301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.301767467,0.85 +199302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.715665764,0.85 +199304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.522774838,0.85 +199303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.627644562,0.85 +199305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.656980015,0.85 +199306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.436849186,0.85 +199308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.257546823,0.85 +199309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.066458784,0.85 +199310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,9.849806726,0.85 +199311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.567257745,0.85 +199307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.198752019,0.85 +199313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.64052978,0.85 +199315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-2.117068778,0.85 +199312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-1.274995665,0.85 +199314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.522466564,0.85 +199316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-2.404095842,0.85 +199319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.377811778,0.85 +199318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.64584368,0.85 +199317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.007521382,0.85 +199320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.994283586,0.85 +199321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.594947338,0.85 +199322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.282788355,0.85 +199323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.153657075,0.85 +199324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.445524105,0.85 +199325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.680992158,0.85 +199326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.705291366,0.85 +199327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.886087922,0.85 +199328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.153293536,0.85 +199329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.919022098,0.85 +199330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,11.59671732,0.85 +199332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.055758692,0.85 +199333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.071804633,0.85 +199334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,9.480765372,0.85 +199336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.069653586,0.85 +199335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.286347746,0.85 +199331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.707713432,0.85 +199337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.113353358,0.85 +199338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.046357955,0.85 +199339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.722256849,0.85 +199342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.393436052,0.85 +199341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.141354798,0.85 +199340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.376755581,0.85 +199343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-3.263182952,0.85 +199345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.921505464,0.85 +199346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.270066576,0.85 +199344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-1.186491439,0.85 +199347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.190289769,0.85 +199348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,10.48605854,0.85 +199350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.601029812,0.85 +199351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.665242885,0.85 +199352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.573530895,0.85 +199353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-5.01820272,0.85 +199354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.738126074,0.85 +199349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.326126673,0.85 +199355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.013111748,0.85 +199357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,9.015632808,0.85 +199356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-1.09334367,0.85 +199358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.512913753,0.85 +199360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.389609332,0.85 +199359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.284862218,0.85 +199361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.008588825,0.85 +199362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.02442835,0.85 +199363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.453605555,0.85 +199365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.726583481,0.85 +199364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,10.29810993,0.85 +199367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.441974311,0.85 +199369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.938606771,0.85 +199368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.085758786,0.85 +199366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.375092416,0.85 +199370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,11.41560636,0.85 +199372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.788809363,0.85 +199371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.626506719,0.85 +199373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.410114646,0.85 +199374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.338051416,0.85 +199376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.080549545,0.85 +199377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.830680898,0.85 +199378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.190698257,0.85 +199375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.865093414,0.85 +199379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.401519842,0.85 +199380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-2.345878066,0.85 +199381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.385419834,0.85 +199383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.086107201,0.85 +199382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.256148023,0.85 +199384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,12.40450381,0.85 +199385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.746899189,0.85 +199386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.358863324,0.85 +199387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.753168682,0.85 +199389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.492266023,0.85 +199388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,11.13655009,0.85 +199390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.967715676,0.85 +199391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,9.755706851,0.85 +199392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,9.14393816,0.85 +199394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.998187037,0.85 +199393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.73575956,0.85 +199395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.526544842,0.85 +199396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.142061362,0.85 +199397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.002030256,0.85 +199398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.078507738,0.85 +199399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.64169438,0.85 +199401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.814818393,0.85 +199402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.120411086,0.85 +199403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.282635258,0.85 +199404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.61954795,0.85 +199400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.010971209,0.85 +199405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.083120784,0.85 +199408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.075819173,0.85 +199406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-1.936877179,0.85 +199407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.641438258,0.85 +199409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-1.408083604,0.85 +199410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-1.945836828,0.85 +199411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-1.430334538,0.85 +199413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.116802737,0.85 +199414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.583797531,0.85 +199415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.268250941,0.85 +199412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.103735131,0.85 +199417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.509074012,0.85 +199418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.062932733,0.85 +199419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.198433436,0.85 +199416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.311660823,0.85 +199420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.314900458,0.85 +199423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.084575006,0.85 +199422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.960354974,0.85 +199421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.682974733,0.85 +199424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.238832313,0.85 +199425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,10.69627069,0.85 +199427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.395699096,0.85 +199428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.101275582,0.85 +199429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.143331262,0.85 +199430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.21078329,0.85 +199426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.734282159,0.85 +199431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.63326827,0.85 +199433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.063354253,0.85 +199432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.468104343,0.85 +199434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.262506829,0.85 +199435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.154193329,0.85 +199436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-4.719434995,0.85 +199439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.541464843,0.85 +199437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.702483542,0.85 +199438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.116530608,0.85 +199440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.56590992,0.85 +199442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-1.575047972,0.85 +199441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.920666994,0.85 +199443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,9.295301312,0.85 +199444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.418210748,0.85 +199446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-3.392111226,0.85 +199445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.018287962,0.85 +199449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.497519618,0.85 +199448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.614173923,0.85 +199450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,9.654403528,0.85 +199452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.515743196,0.85 +199447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,11.76191739,0.85 +199451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.486491099,0.85 +199453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,9.523387651,0.85 +199456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.050696118,0.85 +199455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-1.616230264,0.85 +199457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.610929162,0.85 +199454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.324560546,0.85 +199458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.829988977,0.85 +199460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-2.171571709,0.85 +199459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.630708028,0.85 +199463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.212175918,0.85 +199462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.999543683,0.85 +199464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.783586652,0.85 +199461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.754988458,0.85 +199466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.13200085,0.85 +199465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.263139297,0.85 +199468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.958856045,0.85 +199467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.429672868,0.85 +199470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-3.776522317,0.85 +199469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-1.202399557,0.85 +199471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.00103941,0.85 +199472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.211834241,0.85 +199473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.782128211,0.85 +199474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.75609389,0.85 +199476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,10.6784848,0.85 +199477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.697214446,0.85 +199478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.45461632,0.85 +199475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,9.026635597,0.85 +199480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.803918566,0.85 +199479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.44679978,0.85 +199481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,9.559307049,0.85 +199482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.471380471,0.85 +199485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,10.43659779,0.85 +199483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.51808325,0.85 +199484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.879327211,0.85 +199486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.124027815,0.85 +199487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.035404342,0.85 +199488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.608281372,0.85 +199489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.395364481,0.85 +199490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.318160141,0.85 +199491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,13.49403456,0.85 +199492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.035440167,0.85 +199493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.461074908,0.85 +199495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.209677445,0.85 +199496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,15.17274051,0.85 +199494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.524217545,0.85 +199499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,17.64216777,0.85 +199498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,18.98002681,0.85 +199500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.050807233,0.85 +199501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,15.55093706,0.85 +199502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-8.067336489,0.85 +199497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.517074643,0.85 +199503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,9.281557207,0.85 +199505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,13.08700335,0.85 +199504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-1.301850642,0.85 +199507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.894291399,0.85 +199506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-1.033257154,0.85 +199509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.866835056,0.85 +199508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.996033771,0.85 +199510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.485117057,0.85 +199512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.435503717,0.85 +199511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.64623542,0.85 +199513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.864456771,0.85 +199514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.984381502,0.85 +199515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.283027778,0.85 +199516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.848506351,0.85 +199517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.844717586,0.85 +199518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.451212703,0.85 +199519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.698183296,0.85 +199521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.543359507,0.85 +199522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.034384002,0.85 +199523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-3.189693322,0.85 +199524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.917259681,0.85 +199525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.963046327,0.85 +199520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.457419399,0.85 +199527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.11019889,0.85 +199526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.098027374,0.85 +199528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,15.90208875,0.85 +199529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.519400085,0.85 +199530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.268831416,0.85 +199531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.831268027,0.85 +199532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-2.782889759,0.85 +199533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.597340377,0.85 +199534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.712312875,0.85 +199535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.289677603,0.85 +199536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.438802385,0.85 +199537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.801985294,0.85 +199538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.985114348,0.85 +199539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.665261513,0.85 +199540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.009504094,0.85 +199542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.869275641,0.85 +199543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,12.07132923,0.85 +199544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.503485028,0.85 +199545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.547723109,0.85 +199541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.884972421,0.85 +199546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.924387866,0.85 +199547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.80950796,0.85 +199549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.518717064,0.85 +199548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.213926357,0.85 +199550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-1.056827282,0.85 +199551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.966873219,0.85 +199552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.579833559,0.85 +199554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,9.046386634,0.85 +199553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.527973729,0.85 +199555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.442930197,0.85 +199558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,10.17245286,0.85 +199557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.756361948,0.85 +199556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.277225515,0.85 +199560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.475559988,0.85 +199559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-2.50433185,0.85 +199561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.046271191,0.85 +199563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.965218433,0.85 +199562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.986428214,0.85 +199564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.362999074,0.85 +199565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.749168933,0.85 +199566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.36117847,0.85 +199568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.6735068,0.85 +199567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.225789858,0.85 +199569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.956924203,0.85 +199570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.266571625,0.85 +199571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.409288298,0.85 +199572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.553603225,0.85 +199573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.887691614,0.85 +199574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.02633755,0.85 +199575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,10.76429558,0.85 +199576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.814636108,0.85 +199577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.091442185,0.85 +199579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.422145375,0.85 +199580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-1.181334228,0.85 +199581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.63604867,0.85 +199578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.814979703,0.85 +199582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.806316847,0.85 +199583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.845587274,0.85 +199584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.786430828,0.85 +199586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.608859842,0.85 +199585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.022711679,0.85 +199587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.377511046,0.85 +199588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.964035402,0.85 +199589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.941991369,0.85 +199592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.91189385,0.85 +199591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.804510015,0.85 +199590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.709250673,0.85 +199596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.678693774,0.85 +199595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.64808079,0.85 +199593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-2.70572789,0.85 +199594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.627906162,0.85 +199599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.453013743,0.85 +199598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.617214792,0.85 +199600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.447522934,0.85 +199601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.027755904,0.85 +199597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,14.47929727,0.85 +199602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.737953973,0.85 +199603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.214771258,0.85 +199604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.520149862,0.85 +199606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.72408603,0.85 +199607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.75900089,0.85 +199605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.238835095,0.85 +199610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,9.501756471,0.85 +199611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.9858215,0.85 +199608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.139179067,0.85 +199609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.39286729,0.85 +199613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.032167197,0.85 +199614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.480074238,0.85 +199612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.521659474,0.85 +199617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.433585873,0.85 +199615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.913475085,0.85 +199618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,11.36724669,0.85 +199619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.26150252,0.85 +199620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.045596183,0.85 +199616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.070669913,0.85 +199621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.16064291,0.85 +199622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.458153214,0.85 +199625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.244015301,0.85 +199624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.02666553,0.85 +199623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-2.067642188,0.85 +199627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.696718795,0.85 +199629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,12.64209554,0.85 +199626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.707780792,0.85 +199630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.625871701,0.85 +199628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,14.23723925,0.85 +199631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.83493161,0.85 +199632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.343615874,0.85 +199633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.981747664,0.85 +199635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.563565523,0.85 +199636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.092855639,0.85 +199634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-2.069026675,0.85 +199638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.179117773,0.85 +199637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.342811115,0.85 +199639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.305600772,0.85 +199640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.089473443,0.85 +199642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-1.671288892,0.85 +199644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.494738153,0.85 +199645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,11.79871599,0.85 +199641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.126789479,0.85 +199643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.214815069,0.85 +199648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.959974538,0.85 +199647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.480293417,0.85 +199646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.320037082,0.85 +199649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.049561868,0.85 +199650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.464619048,0.85 +199651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.670808074,0.85 +199652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.383114509,0.85 +199653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.232187343,0.85 +199654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.285063148,0.85 +199655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.709685759,0.85 +199657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.340748963,0.85 +199656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.762143359,0.85 +199659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-3.561138449,0.85 +199660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.137470779,0.85 +199658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.323984526,0.85 +199661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.866134092,0.85 +199662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.550923238,0.85 +199664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.405472512,0.85 +199663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.110250727,0.85 +199667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.508560224,0.85 +199666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.086118758,0.85 +199665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.469756718,0.85 +199668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.77435144,0.85 +199669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.664597648,0.85 +199670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.93837568,0.85 +199671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.609226718,0.85 +199672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.628673661,0.85 +199674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.437106303,0.85 +199675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.324368466,0.85 +199676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.534882226,0.85 +199673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-1.675287838,0.85 +199677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.144451107,0.85 +199679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.682613456,0.85 +199680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.774043962,0.85 +199681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,9.780825589,0.85 +199678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-1.451374692,0.85 +199682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.36115633,0.85 +199683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.665665826,0.85 +199684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.288605931,0.85 +199686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,19.08279157,0.85 +199687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.940587754,0.85 +199685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.654859459,0.85 +199688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.144758787,0.85 +199689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.889076667,0.85 +199690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.597030192,0.85 +199691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.29197916,0.85 +199692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.400507954,0.85 +199695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.042146987,0.85 +199696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.773065605,0.85 +199693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.086236706,0.85 +199694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-2.087392721,0.85 +199698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.319247297,0.85 +199699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.483565683,0.85 +199700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.488300016,0.85 +199697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,10.40829123,0.85 +199701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.672185443,0.85 +199702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,11.37400628,0.85 +199704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.212881556,0.85 +199703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-3.159965124,0.85 +199705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.13253923,0.85 +199706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,14.51271259,0.85 +199708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.602140185,0.85 +199707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-2.052459532,0.85 +199709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.235465653,0.85 +199712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.183607376,0.85 +199710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.380378161,0.85 +199713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.326965233,0.85 +199711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-2.807208067,0.85 +199715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.041713455,0.85 +199716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.165923802,0.85 +199717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.999410433,0.85 +199718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.453395278,0.85 +199719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,13.19616072,0.85 +199720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-6.892854525,0.85 +199714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.697357216,0.85 +199721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.214983907,0.85 +199722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,9.164864222,0.85 +199723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.430820329,0.85 +199724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.820033694,0.85 +199725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.592273343,0.85 +199726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.698570038,0.85 +199727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.210624538,0.85 +199728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.628567422,0.85 +199730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.775859632,0.85 +199731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.066435316,0.85 +199729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.602886789,0.85 +199732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.998843198,0.85 +199734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.987760361,0.85 +199733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.908609509,0.85 +199735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.197884444,0.85 +199738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.360959866,0.85 +199737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.43740009,0.85 +199739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.297860652,0.85 +199740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.439716638,0.85 +199742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.859894512,0.85 +199736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.6020375,0.85 +199741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.04631961,0.85 +199744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.126363751,0.85 +199743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.028115013,0.85 +199745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,11.51526842,0.85 +199746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,14.17745456,0.85 +199748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.008461899,0.85 +199747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-2.507048839,0.85 +199749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.96458565,0.85 +199750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.988871712,0.85 +199752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.155036842,0.85 +199751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.100251925,0.85 +199753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,17.27084727,0.85 +199754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.784074546,0.85 +199755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.30985395,0.85 +199756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.041018463,0.85 +199758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,10.42887442,0.85 +199759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.274507039,0.85 +199757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.456252681,0.85 +199762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.589574869,0.85 +199761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.201260341,0.85 +199763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.535821412,0.85 +199764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.027940494,0.85 +199760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.180048763,0.85 +199766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.91926264,0.85 +199767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-2.049708758,0.85 +199768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.611546248,0.85 +199765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.033901874,0.85 +199769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.912671905,0.85 +199770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.31988663,0.85 +199771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.328408231,0.85 +199772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,13.44467112,0.85 +199775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.780296089,0.85 +199773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.328881487,0.85 +199774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.761048577,0.85 +199776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.223993322,0.85 +199779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.773838892,0.85 +199778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.26049461,0.85 +199777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,16.53150796,0.85 +199781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.865278278,0.85 +199782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.005369103,0.85 +199784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.9543467,0.85 +199783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.653990219,0.85 +199780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.436017312,0.85 +199785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.546728261,0.85 +199787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.894095042,0.85 +199788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.655113243,0.85 +199786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.154959964,0.85 +199790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,12.16404127,0.85 +199789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.604112403,0.85 +199791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.696614354,0.85 +199792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.096845269,0.85 +199793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.098501196,0.85 +199794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.076259947,0.85 +199795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.203492668,0.85 +199796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,9.512898709,0.85 +199798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.188907275,0.85 +199800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.672385827,0.85 +199797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.348615072,0.85 +199799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-1.642550807,0.85 +199801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.738224152,0.85 +199803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.987912286,0.85 +199802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.010732322,0.85 +199804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,10.53008343,0.85 +199806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,10.77771167,0.85 +199807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.816032079,0.85 +199808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.188095356,0.85 +199809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.679241477,0.85 +199805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.588079688,0.85 +199810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.329722724,0.85 +199811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.044805922,0.85 +199814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.50414085,0.85 +199813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.439219841,0.85 +199812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-4.929673354,0.85 +199816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,12.45916493,0.85 +199815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-2.676508998,0.85 +199817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.834120743,0.85 +199818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.453053552,0.85 +199821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.841198018,0.85 +199820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.097040083,0.85 +199822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.042509204,0.85 +199819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-1.217096311,0.85 +199824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.018757626,0.85 +199825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.087426077,0.85 +199826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.944808885,0.85 +199823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.928263201,0.85 +199827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.400912907,0.85 +199829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,11.33670088,0.85 +199830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.375091679,0.85 +199832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.365019461,0.85 +199828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.725598504,0.85 +199831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.810374572,0.85 +199833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.527805438,0.85 +199835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.103705344,0.85 +199836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.541219563,0.85 +199834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.754147078,0.85 +199837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.167889389,0.85 +199838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.087727682,0.85 +199839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.233008077,0.85 +199840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.562288961,0.85 +199842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,10.23465133,0.85 +199843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.043365324,0.85 +199844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.04801578,0.85 +199846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.856981701,0.85 +199841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,11.53581975,0.85 +199847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.704066759,0.85 +199845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.142292081,0.85 +199849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.114320466,0.85 +199850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.41358026,0.85 +199851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.294680437,0.85 +199848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-1.207218167,0.85 +199853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.360521932,0.85 +199855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.402896384,0.85 +199852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.138059779,0.85 +199854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.364960802,0.85 +199856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.347431433,0.85 +199859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.573946864,0.85 +199857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.656709814,0.85 +199858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,9.594959803,0.85 +199861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.967539654,0.85 +199860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.352386452,0.85 +199862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.710102673,0.85 +199863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.664300767,0.85 +199865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.028015529,0.85 +199864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.749418403,0.85 +199866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,10.4082056,0.85 +199867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.610242139,0.85 +199868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.124617154,0.85 +199869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.044083264,0.85 +199870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.908823321,0.85 +199872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.333073112,0.85 +199873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,14.26761345,0.85 +199874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.744549039,0.85 +199871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.395872593,0.85 +199875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,12.99045198,0.85 +199876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.11534167,0.85 +199878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.239023768,0.85 +199877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.092650222,0.85 +199879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.107281522,0.85 +199882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.671957337,0.85 +199880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,10.38546719,0.85 +199883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.315915507,0.85 +199881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.88450131,0.85 +199884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.983716741,0.85 +199885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.413489033,0.85 +199886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.841588318,0.85 +199887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.614845299,0.85 +199888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.011392598,0.85 +199889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.252431209,0.85 +199890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.565309765,0.85 +199891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.954512061,0.85 +199892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,9.862483406,0.85 +199894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.467425667,0.85 +199893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.772229223,0.85 +199895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.862130529,0.85 +199897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.312630292,0.85 +199896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,11.00816249,0.85 +199899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.554633325,0.85 +199898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,11.42897997,0.85 +199901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.495828501,0.85 +199900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.682364693,0.85 +199902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.269407926,0.85 +199903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.902914999,0.85 +199904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.815086176,0.85 +199906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,13.20155787,0.85 +199907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,14.55418893,0.85 +199908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.977664778,0.85 +199905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.205408642,0.85 +199910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.212938289,0.85 +199911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.339540455,0.85 +199912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.337338855,0.85 +199909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.274105129,0.85 +199916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.416236844,0.85 +199914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,5.345670951,0.85 +199915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.556101016,0.85 +199913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.922430899,0.85 +199917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.421840339,0.85 +199918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.085351838,0.85 +199919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,10.6368779,0.85 +199920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.938594584,0.85 +199921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.006477228,0.85 +199922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.559903541,0.85 +199923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.527600523,0.85 +199926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.116413855,0.85 +199924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.705187112,0.85 +199927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.466100776,0.85 +199925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.776108036,0.85 +199929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-3.706544065,0.85 +199930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,11.52018274,0.85 +199931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.486869117,0.85 +199928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.416664666,0.85 +199934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.913283265,0.85 +199935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.366430811,0.85 +199932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-1.319078466,0.85 +199933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.505339352,0.85 +199936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.168299798,0.85 +199937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.009640828,0.85 +199938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.828622024,0.85 +199939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.729428799,0.85 +199941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.455492079,0.85 +199942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.4913712,0.85 +199940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.052837841,0.85 +199943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-1.021569055,0.85 +199945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.941688011,0.85 +199946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,7.942685565,0.85 +199947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.263891207,0.85 +199944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.689129145,0.85 +199948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.816129624,0.85 +199949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.509225206,0.85 +199951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,13.32607557,0.85 +199950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.533085339,0.85 +199953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.193655275,0.85 +199954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.139494254,0.85 +199955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.85581849,0.85 +199952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,18.77858965,0.85 +199957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.240702421,0.85 +199958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.736420896,0.85 +199956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.232319539,0.85 +199959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,4.656204345,0.85 +199961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.819463058,0.85 +199962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.399420636,0.85 +199963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.41265987,0.85 +199960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.259960327,0.85 +199965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.982023776,0.85 +199966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.200959567,0.85 +199967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.965007266,0.85 +199964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.854315442,0.85 +199968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.680647393,0.85 +199970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.352701113,0.85 +199971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.254944286,0.85 +199969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.351286409,0.85 +199972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.114046322,0.85 +199974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-2.24204691,0.85 +199973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.572513231,0.85 +199976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.334971018,0.85 +199975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.198778353,0.85 +199977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.467223201,0.85 +199978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,12.23391048,0.85 +199979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.049891357,0.85 +199980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-0.754705829,0.85 +199981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-1.763224795,0.85 +199983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.196822772,0.85 +199984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-1.711277877,0.85 +199982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.229423102,0.85 +199985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.841049732,0.85 +199987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.252283183,0.85 +199986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.72222036,0.85 +199988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,-1.498846262,0.85 +199989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,1.388376948,0.85 +199990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,12.22580426,0.85 +199991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,2.965559767,0.85 +199992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.796345166,0.85 +199993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.557480858,0.85 +199994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,6.544371923,0.85 +199996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.410171373,0.85 +199997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.42462133,0.85 +199998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,3.980221947,0.85 +199995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.34462456,0.85 +199999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,0.480837848,0.85 +200000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,0.9,10,1,8.957885562,0.85 +209001,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.714449133,0.803 +209003,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.626237173,0.803 +209004,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.751679056,0.803 +209002,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.730268262,0.803 +209005,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.551662984,0.803 +209006,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,13.07403095,0.803 +209007,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.84130902,0.803 +209009,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,18.42384262,0.803 +209010,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.913392224,0.803 +209008,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.66414371,0.803 +209011,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.660383332,0.803 +209012,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.244321575,0.803 +209014,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.307945328,0.803 +209013,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.168627196,0.803 +209015,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.133155132,0.803 +209016,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.799875988,0.803 +209018,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.086648457,0.803 +209019,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.569301657,0.803 +209017,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.741961834,0.803 +209020,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,10.29513177,0.803 +209021,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.341994408,0.803 +209022,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.36784188,0.803 +209023,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.549275999,0.803 +209024,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.707935763,0.803 +209025,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.996134681,0.803 +209026,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.136280069,0.803 +209028,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,15.29267576,0.803 +209027,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,12.46117851,0.803 +209030,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-4.139701967,0.803 +209029,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.840870922,0.803 +209031,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.703145193,0.803 +209033,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.633499945,0.803 +209034,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.846880686,0.803 +209035,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.709522428,0.803 +209032,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.626332156,0.803 +209037,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-11.76951388,0.803 +209036,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.409519135,0.803 +209038,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-3.121211475,0.803 +209039,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.947119417,0.803 +209040,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.415709325,0.803 +209041,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.985377627,0.803 +209042,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.542365812,0.803 +209043,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.919829657,0.803 +209044,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.992520884,0.803 +209045,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.920425062,0.803 +209048,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.297748964,0.803 +209046,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.312261394,0.803 +209049,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.161587345,0.803 +209050,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.824666743,0.803 +209051,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.734151952,0.803 +209047,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.355304157,0.803 +209052,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.35370907,0.803 +209053,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.409873229,0.803 +209054,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.953753682,0.803 +209056,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.147551738,0.803 +209057,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.40261589,0.803 +209055,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.667743059,0.803 +209058,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.387522656,0.803 +209059,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.880595111,0.803 +209060,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.321453813,0.803 +209061,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.917649688,0.803 +209063,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.018064725,0.803 +209064,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.633282825,0.803 +209066,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.25308454,0.803 +209062,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-2.867587447,0.803 +209067,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.337218203,0.803 +209068,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.550916836,0.803 +209065,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.23841002,0.803 +209069,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-2.819301951,0.803 +209070,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-2.428709382,0.803 +209073,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.689802037,0.803 +209072,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.220530622,0.803 +209071,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.667743273,0.803 +209074,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.32038713,0.803 +209075,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,14.6991352,0.803 +209077,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.304858909,0.803 +209078,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.902113662,0.803 +209076,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.749700476,0.803 +209080,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.820938936,0.803 +209081,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,13.89432695,0.803 +209079,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.336788391,0.803 +209082,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.804510606,0.803 +209083,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.243003857,0.803 +209084,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.631633179,0.803 +209087,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.949429233,0.803 +209085,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.335755812,0.803 +209088,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.281782536,0.803 +209086,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.371246511,0.803 +209090,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.010273175,0.803 +209091,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.441620589,0.803 +209089,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.220009573,0.803 +209092,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.905438252,0.803 +209093,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.584552164,0.803 +209094,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.443543059,0.803 +209095,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.325111277,0.803 +209096,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.006679322,0.803 +209098,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.582521445,0.803 +209099,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.393451084,0.803 +209097,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.380496504,0.803 +209100,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.327191652,0.803 +209102,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.449866212,0.803 +209101,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.447823106,0.803 +209103,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-5.245530335,0.803 +209104,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.84639605,0.803 +209105,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.383443616,0.803 +209106,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.228956609,0.803 +209107,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.805098454,0.803 +209110,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.977046184,0.803 +209108,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-2.096588851,0.803 +209109,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.186722061,0.803 +209111,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,10.57588233,0.803 +209114,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,10.55187536,0.803 +209112,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,11.40546018,0.803 +209113,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-2.515193192,0.803 +209116,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.56789408,0.803 +209117,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,16.37892427,0.803 +209118,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.752984509,0.803 +209115,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.59826945,0.803 +209120,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.74477828,0.803 +209119,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.25293413,0.803 +209121,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.020389102,0.803 +209122,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.852591761,0.803 +209123,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,11.63336738,0.803 +209124,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.485837374,0.803 +209125,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.555859655,0.803 +209126,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.256475749,0.803 +209128,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.469316257,0.803 +209127,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.930618345,0.803 +209130,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.964329929,0.803 +209129,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.05561279,0.803 +209131,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.003878615,0.803 +209132,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,16.58843684,0.803 +209133,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.632053336,0.803 +209135,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.495906124,0.803 +209134,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.164126579,0.803 +209136,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.384505578,0.803 +209137,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.350438561,0.803 +209138,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.018810252,0.803 +209141,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.965654931,0.803 +209142,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.391857881,0.803 +209139,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-2.787130063,0.803 +209140,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-2.529181989,0.803 +209143,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.294887665,0.803 +209146,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-5.595215272,0.803 +209144,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.677238436,0.803 +209145,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.130292004,0.803 +209148,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.382950255,0.803 +209147,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.932746206,0.803 +209149,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.305978168,0.803 +209150,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,17.11847257,0.803 +209152,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,10.89533826,0.803 +209153,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.038835337,0.803 +209155,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.821220702,0.803 +209151,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.904659085,0.803 +209156,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.675926929,0.803 +209157,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.337091686,0.803 +209158,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.356297505,0.803 +209154,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.156311842,0.803 +209159,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,13.54257346,0.803 +209160,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,12.45280235,0.803 +209161,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.837723859,0.803 +209163,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.097375711,0.803 +209165,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.479427149,0.803 +209164,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.194217754,0.803 +209162,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.050038035,0.803 +209166,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-4.748337561,0.803 +209167,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.489532484,0.803 +209168,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,15.46850715,0.803 +209170,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.81293921,0.803 +209169,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.727791964,0.803 +209172,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-4.092390589,0.803 +209173,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.551491498,0.803 +209174,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.481353835,0.803 +209175,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.701404759,0.803 +209176,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-4.649905465,0.803 +209171,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.698716534,0.803 +209177,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.067834955,0.803 +209178,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,10.72773069,0.803 +209180,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.616316088,0.803 +209179,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.250325189,0.803 +209182,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.44116076,0.803 +209181,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.96741686,0.803 +209183,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.484174478,0.803 +209185,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.391203845,0.803 +209184,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,18.25156724,0.803 +209186,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,13.48788073,0.803 +209187,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.50627269,0.803 +209189,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.32178455,0.803 +209188,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.623318205,0.803 +209190,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.068780774,0.803 +209192,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.268450495,0.803 +209193,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.568326728,0.803 +209191,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.636614018,0.803 +209195,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,10.25482891,0.803 +209196,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.151862386,0.803 +209194,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.637224459,0.803 +209197,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,10.33513294,0.803 +209198,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.168415583,0.803 +209199,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.796017227,0.803 +209201,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,11.9429435,0.803 +209200,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,14.39771087,0.803 +209202,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-2.838817095,0.803 +209204,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.174988648,0.803 +209203,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.653919358,0.803 +209205,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-9.869431175,0.803 +209206,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.582775031,0.803 +209208,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.723788974,0.803 +209210,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.255656577,0.803 +209209,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.767727599,0.803 +209207,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.662237546,0.803 +209211,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-3.653435417,0.803 +209212,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.759910684,0.803 +209214,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-5.242307126,0.803 +209215,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,10.40510654,0.803 +209216,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.676886241,0.803 +209213,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.045646804,0.803 +209217,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.809901316,0.803 +209218,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.388323906,0.803 +209219,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.267680212,0.803 +209221,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-2.792383377,0.803 +209220,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.908562731,0.803 +209222,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.570798656,0.803 +209223,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-4.148442685,0.803 +209224,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.970098101,0.803 +209226,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.902852469,0.803 +209227,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,11.15709922,0.803 +209225,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,13.18430874,0.803 +209228,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,16.56765796,0.803 +209229,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.137833623,0.803 +209230,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-2.560352301,0.803 +209231,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.096412375,0.803 +209232,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.613831392,0.803 +209233,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.794822839,0.803 +209234,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.330525727,0.803 +209236,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.664790909,0.803 +209237,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.751714203,0.803 +209238,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.881743426,0.803 +209235,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.118708661,0.803 +209239,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.103229963,0.803 +209240,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.715341716,0.803 +209241,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.751258702,0.803 +209242,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.371155596,0.803 +209243,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.759509542,0.803 +209244,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.324728819,0.803 +209245,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.177497616,0.803 +209247,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,12.41963047,0.803 +209246,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-2.623745141,0.803 +209248,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.175535034,0.803 +209249,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.099390759,0.803 +209250,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.844749951,0.803 +209251,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.240820114,0.803 +209252,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.451657935,0.803 +209253,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.977124711,0.803 +209254,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.40674467,0.803 +209256,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.864816762,0.803 +209255,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,14.18717405,0.803 +209257,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.954261642,0.803 +209258,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.217801567,0.803 +209260,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.952888119,0.803 +209259,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.613183415,0.803 +209261,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.120022003,0.803 +209262,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.585802475,0.803 +209264,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,24.10271567,0.803 +209263,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-3.799024915,0.803 +209265,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-4.647740892,0.803 +209266,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.867671842,0.803 +209267,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.055541184,0.803 +209269,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.824407796,0.803 +209268,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.768412544,0.803 +209270,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.290405516,0.803 +209273,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.107066955,0.803 +209272,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.85572221,0.803 +209271,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.793316908,0.803 +209274,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,10.73120642,0.803 +209275,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,10.01683069,0.803 +209276,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.23955823,0.803 +209277,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.613618183,0.803 +209278,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.613134879,0.803 +209279,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,10.30594612,0.803 +209280,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.79913118,0.803 +209282,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.292464935,0.803 +209281,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.289913552,0.803 +209283,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.070198388,0.803 +209284,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.396736854,0.803 +209285,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-2.911352715,0.803 +209286,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-3.122452287,0.803 +209287,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.529284628,0.803 +209288,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,10.42109643,0.803 +209289,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,15.47744687,0.803 +209291,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,13.59090181,0.803 +209293,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.0857189,0.803 +209292,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.177834797,0.803 +209294,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.809413082,0.803 +209290,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,10.80925391,0.803 +209295,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.48252982,0.803 +209297,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.259134226,0.803 +209296,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,10.29197635,0.803 +209299,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.041493103,0.803 +209300,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.191218875,0.803 +209301,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-2.937191573,0.803 +209298,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.420122093,0.803 +209302,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.841203998,0.803 +209305,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.911717061,0.803 +209303,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.103929199,0.803 +209306,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.492427059,0.803 +209307,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.825921452,0.803 +209304,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.546228548,0.803 +209308,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.243202243,0.803 +209309,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.634315485,0.803 +209311,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-3.218625763,0.803 +209312,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.556478061,0.803 +209313,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.57094939,0.803 +209314,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.066435996,0.803 +209315,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,10.5894955,0.803 +209310,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.440614818,0.803 +209317,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.527793478,0.803 +209316,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.300716849,0.803 +209319,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.078946531,0.803 +209318,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.000189801,0.803 +209320,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.338659344,0.803 +209321,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.306382359,0.803 +209322,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.381044877,0.803 +209323,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.569455123,0.803 +209325,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.67510519,0.803 +209327,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.57130564,0.803 +209328,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.463828617,0.803 +209324,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.787751746,0.803 +209329,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,14.03405252,0.803 +209330,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.695672269,0.803 +209331,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.819145423,0.803 +209326,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.768625608,0.803 +209332,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,11.72171541,0.803 +209334,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,12.28322384,0.803 +209335,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.06166384,0.803 +209333,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-6.93274827,0.803 +209337,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,10.72085415,0.803 +209336,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,10.68918033,0.803 +209339,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,10.66812178,0.803 +209341,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.42318275,0.803 +209342,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.704860187,0.803 +209338,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,11.294532,0.803 +209343,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.277656751,0.803 +209344,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.462460376,0.803 +209345,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.884314676,0.803 +209340,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,11.91226821,0.803 +209347,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-2.320341991,0.803 +209346,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.659448391,0.803 +209349,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,14.96385166,0.803 +209348,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.727455471,0.803 +209350,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.591080697,0.803 +209351,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,16.77661611,0.803 +209352,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.833282618,0.803 +209353,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.765484223,0.803 +209354,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.541522241,0.803 +209355,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.92180679,0.803 +209356,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,11.48364802,0.803 +209358,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-2.322135258,0.803 +209359,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.474558089,0.803 +209357,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.013205206,0.803 +209363,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.344837858,0.803 +209360,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.435832483,0.803 +209362,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.30472747,0.803 +209361,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-5.402358863,0.803 +209364,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-5.480416621,0.803 +209365,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,12.08747518,0.803 +209366,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.08375317,0.803 +209367,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.270285372,0.803 +209369,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.349922369,0.803 +209370,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.100168429,0.803 +209368,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.747500531,0.803 +209371,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.979354901,0.803 +209372,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.907482815,0.803 +209373,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-3.818274337,0.803 +209375,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.426232606,0.803 +209374,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.584885014,0.803 +209377,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.932256337,0.803 +209378,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.295085536,0.803 +209376,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-3.097488544,0.803 +209379,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-4.44821772,0.803 +209382,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.738069514,0.803 +209380,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.413992444,0.803 +209381,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.445192159,0.803 +209384,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.383652635,0.803 +209386,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.056830387,0.803 +209383,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,12.11014371,0.803 +209387,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-4.51108367,0.803 +209385,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-3.552582998,0.803 +209388,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.250956269,0.803 +209389,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-3.072443097,0.803 +209390,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.554861372,0.803 +209391,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.813987591,0.803 +209392,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.777743247,0.803 +209393,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.972084085,0.803 +209395,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.098911837,0.803 +209394,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.625165534,0.803 +209396,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.163208068,0.803 +209398,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-2.078114513,0.803 +209399,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.463858264,0.803 +209400,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.441938876,0.803 +209402,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.58497783,0.803 +209401,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.657578151,0.803 +209397,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,11.31944671,0.803 +209403,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.197194678,0.803 +209405,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.116477623,0.803 +209404,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,13.04830455,0.803 +209406,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.808738451,0.803 +209408,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.489995747,0.803 +209407,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,11.63165841,0.803 +209409,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.030463059,0.803 +209410,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.931087157,0.803 +209411,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-6.820126184,0.803 +209413,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,11.76313077,0.803 +209412,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.981118761,0.803 +209414,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.58365591,0.803 +209416,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.345512425,0.803 +209417,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,10.14188324,0.803 +209415,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-4.325429535,0.803 +209419,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.133467046,0.803 +209420,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.407023508,0.803 +209421,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.053049909,0.803 +209418,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,10.7244613,0.803 +209423,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.27948928,0.803 +209424,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.389132115,0.803 +209422,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.972334023,0.803 +209425,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,11.00038932,0.803 +209427,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.895940208,0.803 +209428,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.123781215,0.803 +209429,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.852053449,0.803 +209426,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-4.790528817,0.803 +209431,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.779340947,0.803 +209432,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.667217895,0.803 +209430,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.81400529,0.803 +209434,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.374566679,0.803 +209433,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.214650703,0.803 +209436,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.507020554,0.803 +209437,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.0223213,0.803 +209438,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-2.471442339,0.803 +209439,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.271396753,0.803 +209441,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.42498118,0.803 +209435,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-3.403835673,0.803 +209440,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.317867037,0.803 +209442,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,12.1901073,0.803 +209443,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.251162181,0.803 +209444,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-2.971441083,0.803 +209445,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.943036823,0.803 +209449,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.467205431,0.803 +209446,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.354418108,0.803 +209448,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,11.88203228,0.803 +209447,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,10.07422356,0.803 +209450,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.361737856,0.803 +209452,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.768217511,0.803 +209453,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.171426044,0.803 +209451,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.577799462,0.803 +209456,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.113599794,0.803 +209454,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.220212843,0.803 +209457,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.572909908,0.803 +209455,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.170028649,0.803 +209458,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.034057984,0.803 +209459,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.258195625,0.803 +209460,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,10.39875767,0.803 +209461,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.207503148,0.803 +209463,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.613230108,0.803 +209464,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.174126184,0.803 +209465,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,11.49275152,0.803 +209462,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,13.36958836,0.803 +209466,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.417159671,0.803 +209468,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.666543407,0.803 +209469,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,10.35416751,0.803 +209467,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.000031448,0.803 +209472,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-3.681664161,0.803 +209470,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.402834029,0.803 +209471,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-5.33206408,0.803 +209473,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.002069963,0.803 +209474,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,10.84459579,0.803 +209475,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.153044087,0.803 +209476,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.711797607,0.803 +209477,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.959674646,0.803 +209479,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.490293698,0.803 +209481,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.764778925,0.803 +209480,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.498591656,0.803 +209482,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.831693481,0.803 +209478,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.94370422,0.803 +209484,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-2.638514832,0.803 +209486,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.719851025,0.803 +209485,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.716564496,0.803 +209483,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-2.007045829,0.803 +209487,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.377284845,0.803 +209488,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.628481808,0.803 +209489,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.849270843,0.803 +209490,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.128944137,0.803 +209491,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.685307366,0.803 +209492,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-3.914283271,0.803 +209493,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.837754824,0.803 +209494,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.923671303,0.803 +209495,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.248898989,0.803 +209497,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.96465598,0.803 +209498,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-6.139858512,0.803 +209496,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.726101712,0.803 +209500,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-3.18605127,0.803 +209499,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.508636054,0.803 +209501,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,12.47465143,0.803 +209502,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.455167046,0.803 +209503,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.578353512,0.803 +209505,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.751710859,0.803 +209504,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.935818087,0.803 +209506,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.748741238,0.803 +209507,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.023575072,0.803 +209508,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.66854884,0.803 +209510,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.399013844,0.803 +209511,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.45265808,0.803 +209512,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.218190879,0.803 +209513,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.765388762,0.803 +209509,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.714599648,0.803 +209514,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.429668081,0.803 +209515,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.930599552,0.803 +209517,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.299587947,0.803 +209516,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,17.45539895,0.803 +209518,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.260697209,0.803 +209519,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-3.503020595,0.803 +209520,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.494124803,0.803 +209521,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,11.77740838,0.803 +209522,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.037282834,0.803 +209523,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.540198216,0.803 +209525,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.212802242,0.803 +209526,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-3.518418158,0.803 +209527,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-3.587245467,0.803 +209524,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-5.549137768,0.803 +209528,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.281268823,0.803 +209529,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.704696134,0.803 +209530,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.84089966,0.803 +209531,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.422354997,0.803 +209532,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,12.95988441,0.803 +209533,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.096514861,0.803 +209534,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.523523258,0.803 +209535,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.012057815,0.803 +209537,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.118079349,0.803 +209536,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.306335063,0.803 +209538,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.82322108,0.803 +209541,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.42925542,0.803 +209540,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.068092511,0.803 +209539,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.650309186,0.803 +209542,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-2.275043349,0.803 +209544,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.966568611,0.803 +209543,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,12.5779283,0.803 +209546,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.096511563,0.803 +209548,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.285626092,0.803 +209545,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.002313846,0.803 +209547,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.336977598,0.803 +209549,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.101916123,0.803 +209550,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.312042648,0.803 +209553,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.31023155,0.803 +209552,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.837120953,0.803 +209551,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.921429832,0.803 +209554,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.345248466,0.803 +209555,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.731815164,0.803 +209556,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.576371418,0.803 +209557,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.203462721,0.803 +209558,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.456032429,0.803 +209560,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.687064812,0.803 +209559,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.403553779,0.803 +209561,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.194447727,0.803 +209564,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.957953102,0.803 +209563,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,10.51976765,0.803 +209562,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.412975141,0.803 +209565,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.771649717,0.803 +209566,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.044636462,0.803 +209567,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.592673059,0.803 +209568,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.593747548,0.803 +209569,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.329979489,0.803 +209570,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.759763977,0.803 +209571,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.98816144,0.803 +209572,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.086361398,0.803 +209574,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.468939358,0.803 +209575,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.927544677,0.803 +209573,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.561310641,0.803 +209576,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.111273111,0.803 +209577,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.321673676,0.803 +209578,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.429563825,0.803 +209579,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.70819106,0.803 +209580,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.614549502,0.803 +209581,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-8.993165066,0.803 +209582,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.355443362,0.803 +209583,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.57474304,0.803 +209585,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.22103493,0.803 +209586,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.775382517,0.803 +209584,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.189296373,0.803 +209587,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.045776414,0.803 +209588,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.970505856,0.803 +209589,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.01157274,0.803 +209591,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.728329638,0.803 +209592,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.805175536,0.803 +209590,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,10.693029,0.803 +209593,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.429326204,0.803 +209595,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.12297162,0.803 +209594,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.152387166,0.803 +209596,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.47499109,0.803 +209597,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.105511814,0.803 +209598,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.04177145,0.803 +209601,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.061778116,0.803 +209599,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.221814346,0.803 +209602,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.270182289,0.803 +209603,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,12.22301188,0.803 +209600,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-2.880480763,0.803 +209604,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.511825993,0.803 +209605,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,13.49094282,0.803 +209608,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.613853701,0.803 +209607,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.791058388,0.803 +209606,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.244609766,0.803 +209609,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.35536616,0.803 +209611,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,12.18275575,0.803 +209610,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.645904093,0.803 +209612,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-3.247538611,0.803 +209613,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.466615812,0.803 +209614,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.001202598,0.803 +209615,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.824186137,0.803 +209616,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.451165116,0.803 +209617,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.096673169,0.803 +209619,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.114420343,0.803 +209621,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.74600642,0.803 +209620,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.428110216,0.803 +209618,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,14.1793604,0.803 +209623,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,12.87051366,0.803 +209622,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.174243695,0.803 +209625,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.415233562,0.803 +209624,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.691995489,0.803 +209626,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.915712688,0.803 +209628,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.412461093,0.803 +209629,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.781233694,0.803 +209630,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.013254292,0.803 +209627,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.99324353,0.803 +209631,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,11.01836734,0.803 +209632,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-3.038050598,0.803 +209633,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.721634419,0.803 +209635,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.593902334,0.803 +209636,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.613218669,0.803 +209634,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.654741038,0.803 +209637,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.418163268,0.803 +209639,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.776476832,0.803 +209638,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-4.22582635,0.803 +209640,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.283396313,0.803 +209641,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.18453071,0.803 +209643,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.624865862,0.803 +209645,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.234173631,0.803 +209642,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.275555292,0.803 +209646,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.745690246,0.803 +209647,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-3.896790123,0.803 +209648,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.808910715,0.803 +209644,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,12.77754713,0.803 +209649,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.78140321,0.803 +209650,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.559787224,0.803 +209651,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.339990887,0.803 +209652,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-2.774446534,0.803 +209655,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,15.25928873,0.803 +209653,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.244898415,0.803 +209654,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.938118137,0.803 +209656,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.141240708,0.803 +209658,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,17.80599476,0.803 +209659,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.435343134,0.803 +209657,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.286238564,0.803 +209660,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.844064613,0.803 +209662,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.719706724,0.803 +209661,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.120447976,0.803 +209663,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.56400875,0.803 +209666,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.610284057,0.803 +209665,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,10.31633998,0.803 +209667,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.836399435,0.803 +209664,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.788860998,0.803 +209668,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.335987206,0.803 +209669,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.350267942,0.803 +209670,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.710241209,0.803 +209671,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.047321384,0.803 +209672,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.146998491,0.803 +209673,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.026574752,0.803 +209675,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.885521375,0.803 +209676,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.827826047,0.803 +209677,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.706310937,0.803 +209674,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.356077399,0.803 +209678,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.126491506,0.803 +209679,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.399024974,0.803 +209680,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.019561257,0.803 +209681,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.775287938,0.803 +209684,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.203813563,0.803 +209683,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-2.128342285,0.803 +209682,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-2.06303652,0.803 +209685,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,11.22309761,0.803 +209687,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.07263557,0.803 +209688,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.946539418,0.803 +209686,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.012534166,0.803 +209689,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.610142987,0.803 +209690,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.049895908,0.803 +209691,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.299557973,0.803 +209692,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.571039724,0.803 +209693,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.489916964,0.803 +209694,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.191664507,0.803 +209696,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.776911216,0.803 +209695,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.084876815,0.803 +209698,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.546690331,0.803 +209699,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.996875964,0.803 +209697,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,10.15977055,0.803 +209702,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.817595105,0.803 +209700,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.942850974,0.803 +209701,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.576719995,0.803 +209703,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,19.08224301,0.803 +209704,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.67875212,0.803 +209706,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.099266786,0.803 +209705,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,16.47650209,0.803 +209707,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.922999534,0.803 +209708,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.297260352,0.803 +209711,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.46123305,0.803 +209709,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.457580039,0.803 +209710,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.241651907,0.803 +209712,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.032598648,0.803 +209714,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.027085589,0.803 +209715,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.218808138,0.803 +209716,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.539784754,0.803 +209713,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.355945566,0.803 +209717,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.340068876,0.803 +209719,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.101736712,0.803 +209721,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-3.591625238,0.803 +209720,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.549189852,0.803 +209718,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.189082099,0.803 +209722,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.835930046,0.803 +209723,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.149910495,0.803 +209724,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.43078759,0.803 +209726,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.915012571,0.803 +209725,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.844325487,0.803 +209727,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.809205703,0.803 +209728,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.425727318,0.803 +209730,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.055791243,0.803 +209729,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.41664087,0.803 +209731,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.512525433,0.803 +209734,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.505315485,0.803 +209735,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.283237036,0.803 +209732,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.846204771,0.803 +209733,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.224690529,0.803 +209736,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,10.2333907,0.803 +209737,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.166581157,0.803 +209738,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.816584859,0.803 +209740,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.952876178,0.803 +209741,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.820286773,0.803 +209742,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.355671281,0.803 +209743,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.385409998,0.803 +209739,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.24538422,0.803 +209745,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.075321886,0.803 +209747,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,13.17730611,0.803 +209744,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.59858398,0.803 +209746,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.352669908,0.803 +209748,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.967317575,0.803 +209749,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.436455866,0.803 +209750,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.275316356,0.803 +209752,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.143386254,0.803 +209753,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.130378069,0.803 +209755,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.786832346,0.803 +209754,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.960965262,0.803 +209757,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.286324389,0.803 +209758,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.846411383,0.803 +209751,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,15.37675984,0.803 +209760,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.288247791,0.803 +209761,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.080553642,0.803 +209756,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.923923213,0.803 +209759,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.184744482,0.803 +209763,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-2.742308746,0.803 +209764,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.377815475,0.803 +209765,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.085465998,0.803 +209762,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.664145597,0.803 +209766,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.28579936,0.803 +209767,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,15.28495304,0.803 +209768,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.099400938,0.803 +209769,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.042766669,0.803 +209772,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.77559014,0.803 +209773,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,15.10422645,0.803 +209770,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.233716676,0.803 +209775,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.291895742,0.803 +209771,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.196502314,0.803 +209774,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.358589068,0.803 +209776,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.136377449,0.803 +209778,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.256602698,0.803 +209779,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.925663741,0.803 +209780,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.566014659,0.803 +209777,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.337737467,0.803 +209781,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,11.70289707,0.803 +209783,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,14.17131843,0.803 +209782,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.633484842,0.803 +209787,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.214099352,0.803 +209784,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-7.779907055,0.803 +209785,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,20.3239709,0.803 +209788,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.33325261,0.803 +209789,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.080205219,0.803 +209786,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-2.511985032,0.803 +209792,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.417063222,0.803 +209793,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.877822248,0.803 +209790,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.118547902,0.803 +209791,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.399794367,0.803 +209795,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.786745454,0.803 +209797,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.41067399,0.803 +209796,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,10.44229867,0.803 +209794,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.627199224,0.803 +209798,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.030703201,0.803 +209799,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,16.70541468,0.803 +209800,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.755431307,0.803 +209802,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,13.09102603,0.803 +209803,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.860827375,0.803 +209801,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.82950592,0.803 +209804,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-2.306896258,0.803 +209807,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.318379178,0.803 +209806,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.754329425,0.803 +209805,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.795517421,0.803 +209809,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.62233349,0.803 +209810,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.127547416,0.803 +209811,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.993262339,0.803 +209808,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.856473146,0.803 +209812,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.95090823,0.803 +209813,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-4.049470477,0.803 +209814,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-2.710910553,0.803 +209817,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,12.19568816,0.803 +209818,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.349359952,0.803 +209815,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.237906073,0.803 +209816,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,14.65562072,0.803 +209819,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.437733816,0.803 +209821,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.787486336,0.803 +209822,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.711137635,0.803 +209820,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,11.86594338,0.803 +209824,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.282838327,0.803 +209823,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.278291503,0.803 +209825,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.913253515,0.803 +209826,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.8101971,0.803 +209828,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.93357455,0.803 +209829,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.370913951,0.803 +209830,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.182249814,0.803 +209831,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.549890097,0.803 +209833,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.388661599,0.803 +209834,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-5.160228021,0.803 +209827,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.533518415,0.803 +209832,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.148511298,0.803 +209837,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.281209377,0.803 +209835,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.142308268,0.803 +209836,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.489299266,0.803 +209838,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,13.77546179,0.803 +209839,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,12.59841243,0.803 +209840,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.563216239,0.803 +209841,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.981848617,0.803 +209842,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.225127778,0.803 +209843,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.101230432,0.803 +209845,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.236189117,0.803 +209844,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.404843352,0.803 +209846,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.863404742,0.803 +209848,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.324192559,0.803 +209849,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.904655998,0.803 +209851,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.28367342,0.803 +209850,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,13.18296627,0.803 +209852,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.944291178,0.803 +209847,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.67435934,0.803 +209854,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,12.02453626,0.803 +209853,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.058579361,0.803 +209856,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.365778381,0.803 +209855,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.936182373,0.803 +209857,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.084605672,0.803 +209858,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.542557992,0.803 +209860,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.297017221,0.803 +209861,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,14.7987994,0.803 +209859,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.52012316,0.803 +209862,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.453293256,0.803 +209864,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.670152465,0.803 +209863,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.528671843,0.803 +209865,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,15.72873735,0.803 +209866,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-9.377812989,0.803 +209868,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.812561078,0.803 +209870,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.397117754,0.803 +209867,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.889193492,0.803 +209869,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.846342306,0.803 +209871,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.686160022,0.803 +209872,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,10.57424523,0.803 +209873,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,16.95609455,0.803 +209875,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.127657431,0.803 +209874,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.344515624,0.803 +209876,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.756634617,0.803 +209877,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.379481461,0.803 +209878,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.532571412,0.803 +209879,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,11.289503,0.803 +209881,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.391588526,0.803 +209880,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,11.51767099,0.803 +209882,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-3.56676217,0.803 +209886,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.008090625,0.803 +209885,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.701566393,0.803 +209883,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.551100984,0.803 +209887,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.532935934,0.803 +209884,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.513533886,0.803 +209888,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.957896302,0.803 +209889,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.736842013,0.803 +209890,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.237599594,0.803 +209892,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.286140691,0.803 +209891,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.774023875,0.803 +209893,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-4.225221464,0.803 +209894,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.500146015,0.803 +209895,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.871426247,0.803 +209897,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-3.116190324,0.803 +209896,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.314654115,0.803 +209899,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.550281085,0.803 +209898,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.158009969,0.803 +209901,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.957889631,0.803 +209902,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.939529795,0.803 +209903,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.626808312,0.803 +209900,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.398510315,0.803 +209905,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.172904226,0.803 +209906,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.990901309,0.803 +209904,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.053619694,0.803 +209907,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.974266551,0.803 +209908,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.763411659,0.803 +209909,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.849036025,0.803 +209912,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.79604426,0.803 +209911,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.207063027,0.803 +209910,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.679613294,0.803 +209913,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.485877289,0.803 +209914,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.284815748,0.803 +209915,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.987566942,0.803 +209916,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,13.76724578,0.803 +209917,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,10.21135524,0.803 +209919,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.209856839,0.803 +209920,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.857374606,0.803 +209921,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-2.387200717,0.803 +209922,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.304273858,0.803 +209923,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.134276813,0.803 +209924,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.49052078,0.803 +209918,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.318890348,0.803 +209926,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.009514762,0.803 +209927,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.411563461,0.803 +209928,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.7641697,0.803 +209925,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,15.81934469,0.803 +209931,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.996773796,0.803 +209929,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.048363216,0.803 +209930,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.270922179,0.803 +209932,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.072456207,0.803 +209933,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.729686051,0.803 +209934,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.955236303,0.803 +209935,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.139778667,0.803 +209936,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,13.10552515,0.803 +209939,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.197994152,0.803 +209938,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-2.480213055,0.803 +209940,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.916318736,0.803 +209942,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.390737491,0.803 +209941,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.287711119,0.803 +209937,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.280050494,0.803 +209945,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.12834685,0.803 +209943,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.865562862,0.803 +209946,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.802806956,0.803 +209944,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-3.005317393,0.803 +209947,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.129848794,0.803 +209948,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.341245878,0.803 +209949,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.580245511,0.803 +209952,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.223620673,0.803 +209951,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.344333129,0.803 +209950,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.177979377,0.803 +209953,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,10.73980902,0.803 +209954,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.566948682,0.803 +209955,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.805955439,0.803 +209956,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-6.085492664,0.803 +209958,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.722619158,0.803 +209960,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.426970128,0.803 +209957,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,13.29454459,0.803 +209959,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.024707588,0.803 +209962,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.571771642,0.803 +209961,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.59151843,0.803 +209964,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.493566394,0.803 +209963,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.784262239,0.803 +209966,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.516888502,0.803 +209967,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.002764655,0.803 +209968,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.691060214,0.803 +209969,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.028491685,0.803 +209970,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.659403711,0.803 +209972,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-2.654977938,0.803 +209973,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.845912791,0.803 +209965,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,3.159427358,0.803 +209971,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-2.059150863,0.803 +209976,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.552513387,0.803 +209977,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,14.05189444,0.803 +209974,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,6.719137036,0.803 +209975,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-6.466279621,0.803 +209978,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.611805293,0.803 +209980,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-5.048226747,0.803 +209981,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,10.75132254,0.803 +209979,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.587592945,0.803 +209982,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.901293144,0.803 +209983,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-6.745146582,0.803 +209984,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,0.095806575,0.803 +209985,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,9.518492804,0.803 +209987,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,2.745844751,0.803 +209988,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.514133712,0.803 +209986,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.402414938,0.803 +209989,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,5.52299755,0.803 +209990,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,8.809984287,0.803 +209991,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,14.33284641,0.803 +209992,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.604972769,0.803 +209994,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,10.42358593,0.803 +209993,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-0.816863664,0.803 +209995,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,1.48196711,0.803 +209996,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,7.100670362,0.803 +209997,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,4.806216436,0.803 +210000,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,14.74677877,0.803 +209999,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-1.169053057,0.803 +209998,1,1001,0,0,0,1,0,TRUE,10,Normal mean = 0,1,10,1,-2.041501903,0.803 diff --git a/data-analysis/analysis-future-work/future-work-data/multi-QV-with-Polling perceived-utility-varying-stdev-table.csv b/data-analysis/analysis-future-work/future-work-data/multi-QV-with-Polling perceived-utility-varying-stdev-table.csv new file mode 100644 index 0000000..9f8a2f9 --- /dev/null +++ b/data-analysis/analysis-future-work/future-work-data/multi-QV-with-Polling perceived-utility-varying-stdev-table.csv @@ -0,0 +1,1101 @@ +[run number],vote-portion-strategic,number-of-voters,perceived-utility-stdev,proportion-of-strategic-voters,minority-power,y-axis,x-axis,QV?,voter-num,number-of-issues,issue-num,poll-response-rate,utility-distribution,[step],total-payoff-per-issue +6,1,1001,0,0,0,1,0,TRUE,337,10,0,1,Normal mean = 0,1,[9.052774085895285 1.3005981491567686 1.2762700756159642 2.298186357049113 7.537055769702683 9.998472656747692 1.9431303771391941 1.111605540650269 6.756804629763982 9.367542279563983] +3,1,1001,0,0,0,1,0,TRUE,337,10,0,1,Normal mean = 0,1,[11.58753820432797 1.5932072273229814 0.37917413100384845 1.3781775433313999 3.4013312112722542 11.536733518093682 2.496515250236155 -1.8469789014709213 2.1062997940291677 2.8627373957315054] +4,1,1001,0,0,0,1,0,TRUE,337,10,0,1,Normal mean = 0,1,[2.6765244178631242 1.375045522518795 0.4294723361417166 1.4535576384739333 14.296439760620787 5.076272131663675 2.2697514512111625 4.452187301447869 -0.20277431224611875 2.6984816705494867] +8,1,1001,0,0,0,1,0,TRUE,337,10,0,1,Normal mean = 0,1,[10.534952088954393 8.289143421613733 5.634999143670054 5.699422537560682 -0.23742262121550703 5.311078415896616 -1.237704994815566 6.0897102243544055 1.6354916767377707 9.534876994972942] +2,1,1001,0,0,0,1,0,TRUE,337,10,0,1,Normal mean = 0,1,[6.940998173922408 2.898190671785445 10.678963736565876 5.339611922027374 8.009329999365406 0.2669958975844648 5.947478222010423 -0.44345533645232127 2.780807129387987 2.589775962399979] +7,1,1001,0,0,0,1,0,TRUE,337,10,0,1,Normal mean = 0,1,[7.554383679803871 5.104663134519146 9.061310543416774 8.354698695739685 8.259098717395128 -0.19390640208705334 5.803039631683448 6.948191837562028 0.2310360482644435 1.2840627964200706] +5,1,1001,0,0,0,1,0,TRUE,337,10,0,1,Normal mean = 0,1,[-0.057860486575098846 9.486973968385312 9.993677148239644 2.6521600030921197 4.965537938579335 5.009939932869226 6.4167112210276365 8.193836311181686 4.160170334292137 9.759612864182495] +1,1,1001,0,0,0,1,0,TRUE,337,10,0,1,Normal mean = 0,1,[9.130713804576898 3.118283011033949 10.15573876638237 -1.666984301673803 7.814573709335306 13.547714730207868 5.009731077931137 7.374661692672101 2.8357956345311006 1.1967908626387134] +10,1,1001,0,0,0,1,0,TRUE,337,10,0,1,Normal mean = 0,1,[15.350868399873717 11.20723462247014 1.979037016786899 5.943875938112677 11.456784252266024 2.7116503002518986 5.382188646312574 3.1294873701548718 2.4376159476996055 8.480179680904806] +9,1,1001,0,0,0,1,0,TRUE,337,10,0,1,Normal mean = 0,1,[0.3976245138027155 4.431345065929628 4.304799943926201 3.4555229312555875 2.7235230848962413 7.1093474080478565 6.052805942347506 3.7750985201083997 3.9050786160175983 -1.7160441211753605] +14,1,1001,0,0,0,1,0,TRUE,337,10,0,1,Normal mean = 0,1,[3.511879158363987 1.8572418731143103 8.582760861107275 1.8333703628527753 3.934521255840448 8.628539155733556 9.358661930117325 7.059285072176937 0.20595462289369737 1.329036902659306] +13,1,1001,0,0,0,1,0,TRUE,337,10,0,1,Normal mean = 0,1,[3.151305788030748 12.65313608853096 10.489469187328718 1.4295429536624487 0.5894923237280948 2.782695842544539 1.132193608064636 5.075933084031287 -1.920129844409831 3.1960477406266286] +12,1,1001,0,0,0,1,0,TRUE,337,10,0,1,Normal mean = 0,1,[0.5458516249718086 8.425611474706313 -0.7406191140088982 6.039908067102808 -0.3314099825078456 -0.946797909153212 5.127097338629956 0.3533798990263668 1.9685360726004153 12.582685250977184] +15,1,1001,0,0,0,1,0,TRUE,337,10,0,1,Normal mean = 0,1,[11.237370223941074 4.801166130947422 6.665084624687061 8.32684345371122 1.3518376013754532 2.238194198368614 7.382299068593486 1.0681991130543684 8.776857925925293 2.1358237262542055] +11,1,1001,0,0,0,1,0,TRUE,337,10,0,1,Normal mean = 0,1,[2.467221970370601 4.484902635096883 4.046970903576703 5.91350600078925 1.6589869838614777 1.5630088313885124 4.3695171390001155 13.044333160696697 4.022973500988467 2.6240808910317113] +17,1,1001,0,0,0,1,0,TRUE,337,10,0,1,Normal mean = 0,1,[3.4078948503802287 1.3873076622133127 0.26891197185618565 15.007666267038596 7.077848529732842 4.594931159739464 -2.3179992041813806 1.7629142790241117 1.9281173018707567 10.10473249587439] +20,1,1001,0,0,0,1,0,TRUE,337,10,0,1,Normal mean = 0,1,[1.842553054275153 7.118761071587481 9.889030294567007 9.288394315280053 8.551437654845671 4.992125099601887 5.012862490288239 2.8750133301621585 3.887984974344682 9.714325513050344] +22,1,1001,0,0,0,1,0,TRUE,337,10,0,1,Normal mean = 0,1,[5.686698704239781 6.5975074561505505 2.2258406137549955 12.240115937935743 4.877680862976403 3.2082073493929415 12.476162332833352 2.3247210062850883 4.171336529259869 -1.7225822301130729] +18,1,1001,0,0,0,1,0,TRUE,337,10,0,1,Normal mean = 0,1,[-0.6951848566061342 -1.1331175442956192 8.789043719657503 5.557427714514761 7.486736980390731 6.412579674929968 1.7131958090707828 2.7930626703834642 7.467286185694717 3.4042681784157702] +19,1,1001,0,0,0,1,0,TRUE,337,10,0,1,Normal mean = 0,1,[2.0476843803774103 8.142123077967407 2.772427927385568 1.3512245879401776 7.009813891522737 8.945624815935778 2.246595161312742 3.9349242914966336 3.662108093846101 3.514948973173377] +23,1,1001,0,0,0,1,0,TRUE,337,10,0,1,Normal mean = 0,1,[5.193756529637787 4.172377160927981 2.8576904879340046 6.896752702278002 2.8644286058995188 2.7196113179073125 4.644744115409855 2.4136842982328806 0.7121084646264365 10.48839755423667] +21,1,1001,0,0,0,1,0,TRUE,337,10,0,1,Normal mean = 0,1,[11.063951988617491 -0.6527772835493957 2.5793093853962774 7.708397345511232 5.081200989625556 5.1466641968404065 6.2341698674163935 8.274317609046392 2.5410711562500263 2.3377127531646433] +24,1,1001,0,0,0,1,0,TRUE,337,10,0,1,Normal mean = 0,1,[-0.9285748140385273 14.734644520962469 1.174037223210217 3.17104079189135 12.804113646719376 7.927820374980525 1.789984245614266 2.5775354765466623 5.515861687494812 5.431837492046348] +25,1,1001,0,0,0,1,0,TRUE,337,10,0,1,Normal mean = 0,1,[0.6913546469057369 -0.8411567870313001 6.579455591468776 2.5664492312934946 2.5011103913071837 15.875049774718162 6.5139648575063465 11.311359788068351 1.8657449607370973 2.52665424918451] +16,1,1001,0,0,0,1,0,TRUE,337,10,0,1,Normal mean = 0,1,[2.6906304164689954 8.075858846962937 8.329576922501454 -1.7635611255475023 5.74037583938993 3.6504466086607685 0.7753959423310457 4.80276653908201 4.668990958572525 -0.2232726555162886] +26,1,1001,0,0,0,1,0,TRUE,337,10,0,1,Normal mean = 0,1,[0.11767707382409982 4.424471050115072 -0.32653536336112776 4.400311280771203 0.4995276004530853 0.273611257810874 6.00644316624501 11.11735759046223 8.980224545653229 1.3442422785276666] +29,1,1001,0,0,0,1,0,TRUE,337,10,0,1,Normal mean = 0,1,[11.723755867455116 0.6787785854696051 11.802805983667152 2.301672156056304 4.252089469533094 1.195656258310967 3.324005639609387 2.125659493280171 6.220633196952494 14.975691756788823] +28,1,1001,0,0,0,1,0,TRUE,337,10,0,1,Normal mean = 0,1,[1.085984377195385 2.2581435733097592 9.92036157295085 10.197616000061169 3.6496474061663995 5.794360030912619 1.9812188511236506 5.454047844552234 10.670765342131974 0.15301183112674216] +27,1,1001,0,0,0,1,0,TRUE,337,10,0,1,Normal mean = 0,1,[1.8012175514898976 6.802809696445713 4.7731463296231675 1.8003246561139563 6.191429728943602 14.347755033933165 7.340182175692628 6.277163168252724 11.250892630221434 2.730047627044475] +30,1,1001,0,0,0,1,0,TRUE,337,10,0,1,Normal mean = 0,1,[1.0218554208194877 3.651687657328411 2.3781650130573437 6.497975702073496 -0.706222276536452 2.188634130031403 5.142815457671792 2.100879138083932 6.113778474106377 8.529160531007497] +31,1,1001,0,0,0,1,0,TRUE,337,10,0,1,Normal mean = 0,1,[10.479839113171765 3.0236330639417575 11.200765572211944 0.2215605163781923 -0.5777236492981531 1.6797824685788818 10.691088778496534 0.2629630999584448 0.9402013688194732 6.19879954474486] +36,1,1001,0,0,0,1,0,TRUE,337,10,0,1,Normal mean = 0,1,[1.0054761499265297 0.0797588575733591 6.356670132564174 5.0774800418082275 9.271935341039116 8.08815568684568 5.514276954130033 4.024090136432741 2.3007891829349525 4.239581422104288] +35,1,1001,0,0,0,1,0,TRUE,337,10,0,1,Normal mean = 0,1,[9.354988207660032 7.3022201806543485 5.04759515727506 1.2516943252846815 1.6365284203021644 0.008833650988064878 8.956945048084993 5.649286103965691 4.508959399826861 0.3011260870543456] 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+40,1,1001,0,0,0,1,0,TRUE,337,10,0,1,Normal mean = 0,1,[8.32683192539284 2.282545183360528 4.694079361618211 9.705618346089215 9.838392025247455 0.39763065830482175 8.379730055313619 7.993714537157359 2.810516224712824 6.475625161741513] +38,1,1001,0,0,0,1,0,TRUE,337,10,0,1,Normal mean = 0,1,[5.487466171140417 7.147577169590338 4.687405963497994 4.659671218992441 1.2452006060557852 1.809055564695349 0.2222895558571178 1.495898312912157 7.82655563837542 4.516691454017146] +39,1,1001,0,0,0,1,0,TRUE,337,10,0,1,Normal mean = 0,1,[9.162635059780424 7.470425717459217 3.609756346132709 8.8967091618254 0.06477700602535724 3.481953177178276 12.645052017130375 1.9809519710380015 6.1744429961984775 4.185127423906996] +42,1,1001,0,0,0,1,0,TRUE,337,10,0,1,Normal mean = 0,1,[11.800928729067826 2.474658658568771 -1.5648748862998199 15.329383702192708 1.8797937282288761 11.70339701142057 2.5932105427634458 12.992318229095789 6.2288278554400796 11.430299795651262] 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issues.ipynb @@ -0,0 +1,933 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "\n", + "import matplotlib \n", + "font = {'size' : 12}\n", + "matplotlib.rc('font', **font)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "def to_array(string):\n", + " return np.array([float(el) for el in string.replace(\"[\", \"\").replace(\"]\",\"\").split(\" \")])\n", + "def WL_per_issue(payoffs):\n", + " return (payoffs < 0) * 1" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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[run number]vote-portion-strategicnumber-of-votersperceived-utility-stdevproportion-of-strategic-votersminority-powery-axisx-axisQV?number-of-issuesutility-distributionissues-correlationcorrelate-n-issues[step]mean total-payoff-per-issueaverage payoffmean-WL
021100100010True10Normal mean = 0-1.0116.3840241.0000.000
131100100010True10Normal mean = 0-1.0115.7993351.0000.000
241100100010True10Normal mean = 0-1.0116.4358681.0000.000
361100100010True10Normal mean = 0-1.0115.3991311.0000.000
471100100010True10Normal mean = 0-1.0115.8689331.0000.000
......................................................
2099952099961100100010True10Normal mean = 01.01017.1006700.8030.197
2099962099971100100010True10Normal mean = 01.01014.8062160.8030.197
2099972100001100100010True10Normal mean = 01.010114.7467790.8030.197
2099982099991100100010True10Normal mean = 01.0101-1.1690530.8030.197
2099992099981100100010True10Normal mean = 01.0101-2.0415020.8030.197
\n", + "

210000 rows × 17 columns

\n", + "
" + ], + "text/plain": [ + " [run number] vote-portion-strategic number-of-voters \\\n", + "0 2 1 1001 \n", + "1 3 1 1001 \n", + "2 4 1 1001 \n", + "3 6 1 1001 \n", + "4 7 1 1001 \n", + "... ... ... ... \n", + "209995 209996 1 1001 \n", + "209996 209997 1 1001 \n", + "209997 210000 1 1001 \n", + "209998 209999 1 1001 \n", + "209999 209998 1 1001 \n", + "\n", + " perceived-utility-stdev proportion-of-strategic-voters \\\n", + "0 0 0 \n", + "1 0 0 \n", + "2 0 0 \n", + "3 0 0 \n", + "4 0 0 \n", + "... ... ... \n", + "209995 0 0 \n", + "209996 0 0 \n", + "209997 0 0 \n", + "209998 0 0 \n", + "209999 0 0 \n", + "\n", + " minority-power y-axis x-axis QV? number-of-issues \\\n", + "0 0 1 0 True 10 \n", + "1 0 1 0 True 10 \n", + "2 0 1 0 True 10 \n", + "3 0 1 0 True 10 \n", + "4 0 1 0 True 10 \n", + "... ... ... ... ... ... \n", + "209995 0 1 0 True 10 \n", + "209996 0 1 0 True 10 \n", + "209997 0 1 0 True 10 \n", + "209998 0 1 0 True 10 \n", + "209999 0 1 0 True 10 \n", + "\n", + " utility-distribution issues-correlation correlate-n-issues [step] \\\n", + "0 Normal mean = 0 -1.0 1 1 \n", + "1 Normal mean = 0 -1.0 1 1 \n", + "2 Normal mean = 0 -1.0 1 1 \n", + "3 Normal mean = 0 -1.0 1 1 \n", + "4 Normal mean = 0 -1.0 1 1 \n", + "... ... ... ... ... \n", + "209995 Normal mean = 0 1.0 10 1 \n", + "209996 Normal mean = 0 1.0 10 1 \n", + "209997 Normal mean = 0 1.0 10 1 \n", + "209998 Normal mean = 0 1.0 10 1 \n", + "209999 Normal mean = 0 1.0 10 1 \n", + "\n", + " mean total-payoff-per-issue average payoff mean-WL \n", + "0 6.384024 1.000 0.000 \n", + "1 5.799335 1.000 0.000 \n", + "2 6.435868 1.000 0.000 \n", + "3 5.399131 1.000 0.000 \n", + "4 5.868933 1.000 0.000 \n", + "... ... ... ... \n", + "209995 7.100670 0.803 0.197 \n", + "209996 4.806216 0.803 0.197 \n", + "209997 14.746779 0.803 0.197 \n", + "209998 -1.169053 0.803 0.197 \n", + "209999 -2.041502 0.803 0.197 \n", + "\n", + "[210000 rows x 17 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df = pd.read_csv('multi-QV-with-Polling correlate-n-issues-table.csv')\n", + "df['mean-WL'] = 1 -df['average payoff']\n", + "display(df)" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "adf = df[df['correlate-n-issues'] == 10]\n", + "ax = sns.scatterplot(x=\"issues-correlation\", \n", + " y=\"mean-WL\", \n", + " data = adf)\n", + "\n", + "ax.set(xlim=(0,1))\n", + "plt.title(\"QV wellfare-loss vs. correlate-10-issues (mean=0)\")\n", + "plt.show()\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Takeaways: higher correlation generates noise among the mean total payoff, and lower correlation leads to higher mean total-payoff-per-issue " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now lets try doing the indifferent majority vs. passionate minority ( we expect higher WL at higher correlation as it approaches 1p1v" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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[run number]vote-portion-strategicutility-distributionnumber-of-votersperceived-utility-stdevproportion-of-strategic-votersminority-powery-axisx-axisQV?number-of-issuesissues-correlationcorrelate-n-issues[step]item 0 total-payoff-per-issuemean total-payoff-per-issuefirst issue average payoffaverage payoffmean-WLfirst issue mean-WL
041Indifferent Majority vs. Passionate Minority1001001010True100.01019.9937268.3292221.01.00.00.0
171Indifferent Majority vs. Passionate Minority1001001010True100.010110.2181648.2151061.01.00.00.0
251Indifferent Majority vs. Passionate Minority1001001010True100.010110.0164228.3725691.01.00.00.0
331Indifferent Majority vs. Passionate Minority1001001010True100.010110.1480594.9565681.01.00.00.0
481Indifferent Majority vs. Passionate Minority1001001010True100.010110.1540187.6121881.01.00.00.0
...............................................................
20995209961Indifferent Majority vs. Passionate Minority1001001010True101.0101-10.342855-10.3428550.00.01.01.0
20996209981Indifferent Majority vs. Passionate Minority1001001010True101.0101-10.010762-10.0107620.00.01.01.0
20997209971Indifferent Majority vs. Passionate Minority1001001010True101.0101-10.637257-10.6372570.00.01.01.0
20998209991Indifferent Majority vs. Passionate Minority1001001010True101.0101-10.315189-10.3151890.00.01.01.0
20999210001Indifferent Majority vs. Passionate Minority1001001010True101.0101-10.792924-10.7929240.00.01.01.0
\n", + "

21000 rows × 20 columns

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" + ], + "text/plain": [ + " [run number] vote-portion-strategic \\\n", + "0 4 1 \n", + "1 7 1 \n", + "2 5 1 \n", + "3 3 1 \n", + "4 8 1 \n", + "... ... ... \n", + "20995 20996 1 \n", + "20996 20998 1 \n", + "20997 20997 1 \n", + "20998 20999 1 \n", + "20999 21000 1 \n", + "\n", + " utility-distribution number-of-voters \\\n", + "0 Indifferent Majority vs. Passionate Minority 1001 \n", + "1 Indifferent Majority vs. Passionate Minority 1001 \n", + "2 Indifferent Majority vs. Passionate Minority 1001 \n", + "3 Indifferent Majority vs. Passionate Minority 1001 \n", + "4 Indifferent Majority vs. Passionate Minority 1001 \n", + "... ... ... \n", + "20995 Indifferent Majority vs. Passionate Minority 1001 \n", + "20996 Indifferent Majority vs. Passionate Minority 1001 \n", + "20997 Indifferent Majority vs. Passionate Minority 1001 \n", + "20998 Indifferent Majority vs. Passionate Minority 1001 \n", + "20999 Indifferent Majority vs. Passionate Minority 1001 \n", + "\n", + " perceived-utility-stdev proportion-of-strategic-voters \\\n", + "0 0 0 \n", + "1 0 0 \n", + "2 0 0 \n", + "3 0 0 \n", + "4 0 0 \n", + "... ... ... \n", + "20995 0 0 \n", + "20996 0 0 \n", + "20997 0 0 \n", + "20998 0 0 \n", + "20999 0 0 \n", + "\n", + " minority-power y-axis x-axis QV? number-of-issues \\\n", + "0 10 1 0 True 10 \n", + "1 10 1 0 True 10 \n", + "2 10 1 0 True 10 \n", + "3 10 1 0 True 10 \n", + "4 10 1 0 True 10 \n", + "... ... ... ... ... ... \n", + "20995 10 1 0 True 10 \n", + "20996 10 1 0 True 10 \n", + "20997 10 1 0 True 10 \n", + "20998 10 1 0 True 10 \n", + "20999 10 1 0 True 10 \n", + "\n", + " issues-correlation correlate-n-issues [step] \\\n", + "0 0.0 10 1 \n", + "1 0.0 10 1 \n", + "2 0.0 10 1 \n", + "3 0.0 10 1 \n", + "4 0.0 10 1 \n", + "... ... ... ... \n", + "20995 1.0 10 1 \n", + "20996 1.0 10 1 \n", + "20997 1.0 10 1 \n", + "20998 1.0 10 1 \n", + "20999 1.0 10 1 \n", + "\n", + " item 0 total-payoff-per-issue mean total-payoff-per-issue \\\n", + "0 9.993726 8.329222 \n", + "1 10.218164 8.215106 \n", + "2 10.016422 8.372569 \n", + "3 10.148059 4.956568 \n", + "4 10.154018 7.612188 \n", + "... ... ... \n", + "20995 -10.342855 -10.342855 \n", + "20996 -10.010762 -10.010762 \n", + "20997 -10.637257 -10.637257 \n", + "20998 -10.315189 -10.315189 \n", + "20999 -10.792924 -10.792924 \n", + "\n", + " first issue average payoff average payoff mean-WL \\\n", + "0 1.0 1.0 0.0 \n", + "1 1.0 1.0 0.0 \n", + "2 1.0 1.0 0.0 \n", + "3 1.0 1.0 0.0 \n", + "4 1.0 1.0 0.0 \n", + "... ... ... ... \n", + "20995 0.0 0.0 1.0 \n", + "20996 0.0 0.0 1.0 \n", + "20997 0.0 0.0 1.0 \n", + "20998 0.0 0.0 1.0 \n", + "20999 0.0 0.0 1.0 \n", + "\n", + " first issue mean-WL \n", + "0 0.0 \n", + "1 0.0 \n", + "2 0.0 \n", + "3 0.0 \n", + "4 0.0 \n", + "... ... \n", + "20995 1.0 \n", + "20996 1.0 \n", + "20997 1.0 \n", + "20998 1.0 \n", + "20999 1.0 \n", + "\n", + "[21000 rows x 20 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df = pd.read_csv('multi-QV-with-Polling correlate-10-issues-maj-vs-min.csv')\n", + "df['mean-WL'] = 1 - df['average payoff']\n", + "df['first issue mean-WL'] = 1 - df['first issue average payoff']\n", + "display(df)\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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j4s6I+GJEvJmUvM5uEEtt/yifATuY9vadVuLeZPvPn7TvJV0iqLf9d+ROnCYWkj4gFM+ubUP6ANNu/9KoD4B0pv4o4F9IHxa/0WRZt5AGyhaVn2+iybazpkFs7Rho+4bUFzy99iS3ZflY0EocC4HpknYqLGsXUmI/mH5/Iz0t1Hkn6TTVtUpfHLWQNEDovaTBgIfHprd2fZnUKU8F5hbOuAzkBlJmeQLpAAvpuvh00gHm/YW6nyd1it/Jn2juJY2HOJI0DqF8qq9Vt5Ov+Ur6BinZavopOyJWSvo48HFJkJK9HtIB4gUR8cE2Yvi/wPclfYh0p8l+pLNRn46INZL2ICWO3ye97qeTOrLfA0g6mZS03kAaIPkK0t0UtzCw/yZ98ng28M3ieyrpY6SEYSHpE/zxpGva9+Tp/0q6Y+w5Ayz/TGCOpAfzesaQtp9LI+IRSZ8Dzpb0MOkU8zGkAXevahL3JiLiDkkXAl+R9AHS9juedCDcOSI+WWe2RaQE612SPk3adj/Bxp8gHsmv+9WSFgJP5oP2R4D/kfSfpHZcQfrUekxul75GseYOdyxpnxqrDd8ddUuk20Bvk/RdUtudTEo8P046NXtZq20yBNvNz0nJztmSLiAlNu8srebjef65kj5LuntnKilB+mxE3Cnp86QzBLeSzgK+McfTKNmHlLycQxpo//NC2RWkT/nl0+hFd+W/r1P6nq2+iFg5QP1WvDZv8z8mDUQ+lg19VtM+RNJ/kD4U3kT68PePpNd2m9Jl+U+SBtLeBTwlr6Pu/hsRf5V0OfDFfBZuESkReh7pTqRWtdL3LSLt/6+RdBlp+19Ouiv0AkmPAd8hvSfPBY7MH4a67VrSdnmJpHeS9qHTSdvfnDaX1agNiIh5km4lXVa8pFY+gE8Dl0u6gbRPHESdr1IpGmjbyVXuAo6RNJ10aW5FPvvZjoG2b0jja/5F0i9J++2H2fTs3l3AS/MZwSdIVy/KLiFtY5fl1yVS27XVtzUUAwzIiY0H+Xye9Mb2k3aCJRRG2teZ54+53vNbWUee52rShjOpULYgN87YUt1nkDLjh0kHpUWkyyXPjPoDsabSwoBiUod9L+lMyTzSmxvkgZjl5ZbmPZkNt0MuI13Tnd3kNZ9B/VvB/0zKfpeQLgf15GlPIyU9tVsB7wO+woa7QN5IOo2/LLfbnyjcITRAHFuTMvKgdJsdqSP4E+nAvpw0Fuag0muIFtZxPOna6ZOksRhXA08prL+VW8HLA9lmURhAWijfCvgA6fLFGlJi8gvgmEKdu9n4rpM3kzr51aTbyg8hbe+zCnVOJO24f2PjW8EPJu30K9hw++5naP5VAHfn11V+TC3U2Z50WefR/J7+iMLtkgMs+zo2DCje7O2GdMnqTtK+cQ2pwyvHug9pAPqyXO8O0un52uD0L5A64r7CNjC9yevYKm93NxfKnpLfm5822x7y+/AgqW+5aIB9/7Tie9ogliDdRfad3E73U7qVneZ9yNtJ/drjpH3qRuD1edo4Uqd/V94OHyJ19LsXln83G2+3E9hwK/iTNL4V/KBSnBsN+mwWd67zAdI+upaNbwU/mpRkPpFf103kwboN2nGTmKgzYJ+U9Af51v/yfG28tvKt4L+g/q3gk0vL2aS8URvkae/O9f+u0WuvU39JjumnpL6/eNw6tPS84baTp+9ISpSW5/lmNeo765XT2va9K+lD0uN5e5nNpgOKZ+Q4+/IypzZ4z/fK8dZuBf8BdW4FL62/7o0d5Ydy5bZI+nvSp6b/FxHtjB8wMxu1lL7t+ISIaDhOyLZcks4lnbHap9uxbOkG9dtSEXE16ftD1kl65tCGZGZmNnpI2kHpN5PeRrrcZF3WypibuiLietJ3spiZmW3Jvksa5H8ZhTtNrXsGdVnKzMzMbKQa1GUpMzMzs5Fq0JelbOTaaaedYurUqd0Ow8xs1FiwYMEjEbFzt+OwoeHkpoKmTp3K/Pnzux2GmdmoIWlRt2OwoePLUmZmZlYpTm7MzMysUpzcmJmZWaU4uTEzM7NKcXJjZmZmleK7pTos/9rqLNIPDH4zImYNUPe9wAeBXtKvBM+O9n/h1azrVq/uZ2nfGvrXBT1jxKTesYwb1173s7nLGAkxjJRljIQYRsoyavPvs+8L9m9rxTaiObnpvPuAc4DDSUlLXZIOBz4EHJbnuQo4M5eZjRqrV/dz+9JVzJ67gMXL+pg8sZc5M/dn2qTxLR+ENncZIyGGkbKMkRDDSFlGcf5bH1zR0jptdPBlqQ6LiCsj4jvA0iZVTwIuiIiFEbEMOJt0xseso1av7mfJsidYtHQVS5Y9werV/W3Nv7RvzfqDD8DiZX3MnruApX1rOraMkRDDSFnGSIhhpCyjPL9Vh8/cjFzTST/GVnMzsIukSRGxSWIk6RTgFIApU6Z0JkKrvKH4dN2/LjY5eCxe1kf/utZ/125zlzESYhgpyxgJMYyUZdSb36rBZ25Gru2A5YXntf+3r1c5Is6PiBkRMWPnnf0N4jY0huLTdc8YMXnixldgJ0/spWeMOraMkRDDSFnGSIhhpCyj3vxWDU5uRq6VwITC89r/vjBsHTMUn64n9Y5lzsz91x9Eamd/JvWO7dgyRkIMI2UZIyGGkbKM8vxWHYpovZOyoSPpHGByo7ulJF0C3BURH87PDwMuiYhdmy17xowZ4d+WsqGwZNkTHHv+bzdKcCZP7OWyUw5kt4nbtryckXRXzGi/u2coljESYhgpy6jNf+TLD+IPN/2+9dNGNqI5uekwST2ksU4fBSYDbwP6I6K/VO8I4CLS3VL3k24FvyEimt4t5eTGhspQjLkxGw0kLYiIGd2Ow4aGe6fOO42U2NTMBM6UdCFwC7B3RNwTET+SdC7wczZ8z81HN1ma2TAaN66HaZPGc9kpB27Wp2szs07ymZsK8pkbM7P2+MxNtXhAsZmZmVWKkxszMzOrFCc3ZmZmVilObszMzKxSnNyYmZlZpTi5MTMzs0pxcmNmZmaV4uTGzMzMKsXJjZmZmVWKkxszMzOrFP9AjFmFDcWvLpuZjTbu5cwqyr/obWZbKl+WMquopX1r1ic2AIuX9TF77gKW9q3pcmRmZsPLyY1ZRfWvi/WJTc3iZX30r4suRWRm1hlObswqqmeMmDyxd6OyyRN76RmjLkVkZtYZTm7MKmpS71jmzNx/fYJTG3MzqXdslyMzMxteHlVoVlHjxvUwbdJ4LjvlQN8tZWZbFPdyZhU2blwPuzmZMbMtjC9LmZmZWaU4uTEzM7NKcXJjZmZmleLkxszMzCrFyY2ZmZlVipMbMzMzqxQnN2ZmZlYpTm7MzMysUpzcmJmZWaU4uTEzM7NKcXJjZmZmleLkxszMzCrFyU2HSdpR0lWSVklaJOm4BvUk6RxJSyQtl3SdpOmdjtfMzGy0cXLTeV8A1gC7AMcDcxokLccA/wwcDOwI/Aa4uFNBmpmZjVZObjpI0njgTcDpEbEyIuYB3wNOqFP9mcC8iLgzItYCc4G9OxetmZnZ6OTkprP2BNZGxG2FspuBemduLgX2kLSnpK2Bk4AfNVqwpFMkzZc0/+GHHx7SoM3MzEaTnm4HsIXZDlheKlsObF+n7v3A9cCtwFrgXuCwRguOiPOB8wFmzJgRQxGsmZnZaOQzN521EphQKpsArKhT96PAAcDuwDjgTOBaSdsOa4RmZmajnJObzroN6JE0rVC2L7CwTt19gcsiYnFE9EfERcBEPO7GzMxsQE5uOigiVgFXAmdJGi/ppcDrqX8X1I3AMZJ2kTRG0gnA1sAdnYvYzMxs9PGYm857B3Ah8BCwFJgdEQslTQFuAfaOiHuATwJPBW4CxpOSmjdFxGPdCdvMzGx0cHLTYRHxKHB0nfJ7SAOOa89XA+/MDzMzM2uRL0uZmZlZpTi5MTMzs0pxcmNmZmaV4uTGzMzMKsXJjZmZmVWKkxszMzOrFCc3ZmZmVilObszMzKxSnNyYmZlZpTi5MTMzs0pxcmNmZmaV4uTGzMzMKsXJjZmZmVWKkxszMzOrFCc3ZmZmVilObszMzKxSnNyYmZlZpTi5MTMzs0pxcmNmZmaV4uTGzMzMKsXJjZmZmVWKkxszMzOrFCc3ZmZmVilObszMzKxSnNyYmZlZpTi5MTMzs0pxcmNmZmaV4uRmiEjaStJZ3Y7DzMxsS+fkZuj0AB/udhBmZmZbOic3Q0tNK0g7SrpK0ipJiyQdN0DdZ0n6gaQVkh6RdO7QhmtmZlY9Pd0OoGKihTpfANYAuwD7AVdLujkiFhYrSRoL/CTXPxZYC+w5tOHaSLd6dT9L+9bQvy7oGSMm9Y5l3DjvtmZmA3Ev2QZJhw0weWwL848H3gQ8LyJWAvMkfQ84AfhQqfos4L6IOK9Q9of2IrbRbPXqfm5fuorZcxeweFkfkyf2Mmfm/kybNN4JjpnZANxDtueCJtPvaTJ9T2BtRNxWKLsZOKRO3QOBuyVdAxwA/Al4V0T8sd6CJZ0CnAIwZcqUJmHYaLC0b836xAZg8bI+Zs9dwGWnHMhuTm7MzBpyD9mGiHjmZi5iO2B5qWw5sH2dupOBlwOvA34GvBv4rqTnRMSaOrGdD5wPMGPGjFYuj9kI178u1ic2NYuX9dG/zm+vmdlAPKC4DZI+IOnFkgabFK4EJpTKJgAr6tTtA+ZFxDU5mfkUMAl47iDXbaNMzxgxeWLvRmWTJ/bSM6bpuHUzsy2ak5v2vBL4KfCYpJ9KOl3SIZK2aXH+24AeSdMKZfsCC+vU/QOtDVC2iprUO5Y5M/dfn+DUxtxM6m06vMvMbIumCB8/2yFpK2B/4OD8OAgYD8wHfhERpzWZ/1JS0vJW0t1SPwReUuduqb2A/yVdlvo58G/AvwLPrXdZqmjGjBkxf/789l+cjTi+W8qsMyQtiIgZ3Y7DhoZ7yTZFxFrghvz4tKSnkAbyvg94CTBgcgO8A7gQeAhYCsyOiIWSpgC3AHtHxD0RcaukmcCXgKcCvwde1yyxsWoZN67Hg4fNzNrkXrNNkiYBLys8ngb8BjgXuL7Z/BHxKHB0nfJ7SAOOi2VXAlduftRmZmZbDic3bZC0EOgFfgHMA74UEbd2NyozMzMr8oDi9txHGl/zDGB3YLKkbbsbkpmZmRX5zE0bIuJVeUDxC0mXpN4FfEPSItIlqesj4rvdjNHMzGxL5zM3bYqItRFxY0R8OiKOBp4DfBuYicfHmJmZdZ3P3LSpzoDi55MuV/2MNBbHzMzMusjJTRvygOLnAHcBvwQ+B/wyIu7qamBmZma2npOb9pxN+qK++7sdiJmZmdXn5KYNEXFpuUzS4xFR/r0oMzMz6xIPKN58/hVDMzOzEcTJjZmZmVWKk5vNt3e3AzAzM7MNPOZmkCTtAOwFbCdpWq08Iq7tXlRmZmbm5GYQJM0CvgCsBJ4oTArgWd2IyczMzBInN4PzMeDNEXFNtwMxMzOzjXnMzeD0AP/T7SDMzMxsU05uBueTwGmS3H5mZmYjjC9LDc57gV2BD0haWpwQEVO6E5KZmZmBk5vBmtntAMzMzKw+JzeDEBH+9W8zM7MRysnNIEnaDzgY2InCTzBExEe6FpSZmZl5QPFgSDoF+BVwGPBBYB/g/cAe3YzLzMzMnNwM1geAIyLiDUBf/vtm4G/dDcvMzMyc3AzOUyPi+vz/Oklj8hf6HdXNoMzMzMxjbgZrsaSpEXE3cBvwekmPAGu6G5aZmZk5uRmcc4HnAncDZwFXAGOBf+tiTGZmZoaTm0GJiIsK/18jaSIwNiJWdi8qMzMzA4+5GTRJkySdIOkDEbEGmCBpcrfjMjMz29I5uRkESYcAtwLHA6fn4mnAnK4FZWZmZoCTm8H6DHBsRBwB9Oey3wEv6l5IZmZmBk5uBmtqRPws/x/57xo8hsnMzKzrnNwMzi2SDi+VvRL4Y7MZJe0o6SpJqyQtknRcC/NcKykkOXkyMzNrwgfLwXk/8ANJVwO9kr4MvC4/mvkC6SzPLsB+wNWSbo6IhfUqSzoev09mZmYt85mbQYiI3wLPBxYCFwJ3AjMi4saB5pM0HngTcHpErIyIecD3gBMa1N8B+Cjp5x7MzMysBT4jMAg56TgZeCGwHelOqVdIIiJePcCsewJrI+K2QtnNwKWkd9gAABE6SURBVCEN6n+cdAfWAy3EdApwCsCUKVOavgYzM7OqcnIzOJcDWwFXAX1tzLcdsLxUthzYvlxR0gzgpcC7gabfnxMR5wPnA8yYMSOaVDczM6ssJzeDcyAwKSLa/RXwlcCEUtkEYEWxQNIY4IvAuyOiX9KgAzUzM9vSeMzN4Mwj/bZUu24DeiRNK5TtSxq7UzQBmAFcJukBoDaWZ7GkgwexXjMzsy2Gz9wMzizgh5J+BzxYnBARZzWaKSJWSboSOEvSW0l3S70eeEmp6nLg6YXnuwM3APsDD2929GZmZhXm5GZwPkZKOO5m48tMrYx1eQfpDquHgKXA7IhYKGkKcAuwd0TcQ2EQsaRx+d8HI6K/vEAzMzPbwMnN4LwF2DMi7m93xoh4FDi6Tvk9pAHH9ea5G/DAGzMzsxZ4zM3g3Am0O5jYzMzMOsBnbgbnYuB7kv6LTcfcXNudkMzMzAyc3AzWO/Pfj5fKA3hWh2MxMzOzAic3gxARz+x2DGZmZlafx9yYmZlZpTi5MTMzs0pxcmNmZmaV4uTGzMzMKsXJjZmZmVWKkxszMzOrFCc3ZmZmVilObszMzKxSnNyYmZlZpTi5MTMzs0pxcmNmZmaV4uTGzMzMKsXJjZmZmVWKkxszMzOrFCc3ZmZmVilObszMzKxSnNyYmZlZpTi5MTMzs0pxcmNmZmaV4uTGzMzMKsXJjZmZmVWKkxszMzOrFCc3ZmZmVik93Q7ArKpWr+5nad8a+tcFPWPEpN6xjBvnXc7MbLi5pzUbBqtX93P70lXMnruAxcv6mDyxlzkz92fapPFOcMzMhpkvS3WYpB0lXSVplaRFko5rUO8kSQskPS5psaRzJfmoOEos7VuzPrEBWLysj9lzF7C0b02XIzMzqz4nN533BWANsAtwPDBH0vQ69bYF3gPsBLwYeAXw750K0jZP/7pYn9jULF7WR/+66FJEZmZbDic3HSRpPPAm4PSIWBkR84DvASeU60bEnIi4PiLWRMQS4BvASzsbsQ1WzxgxeWLvRmWTJ/bSM0ZdisjMbMvh5Kaz9gTWRsRthbKbgXpnbspeBixsNFHSKZLmS5r/8MMPb2aYtrkm9Y5lzsz91yc4tTE3k3rHdjkyM7Pq8xiOztoOWF4qWw5sP9BMkv4JmAG8tVGdiDgfOB9gxowZvvbRZePG9TBt0nguO+VA3y1lZtZh7mk7ayUwoVQ2AVjRaAZJRwOfAF4ZEY8MY2w2xMaN62E3JzNmZh3ny1KddRvQI2laoWxfGlxuknQE8BXgqIj4YwfiMzMzG/Wc3HRQRKwCrgTOkjRe0kuB1wMXl+tKOow0iPhNEXFDZyM1MzMbvZzcdN47gF7gIeCbwOyIWChpiqSVkqbkeqcDOwA/zOUrJV3TpZjNzMxGDQ8I6LCIeBQ4uk75PaQBx7XnL+9kXGZmZlXhMzdmZmZWKU5uzMzMrFKc3JiZmVmlOLkxMzOzSnFyY2ZmZpXi5MbMzMwqxcmNmZmZVYqTGzMzM6sUJzdmZmZWKU5uzMzMrFKc3JiZmVmlOLkxMzOzSnFyY2ZmZpXi5MbMzMwqxcmNmZmZVYqTGzMzM6sUJzdmZmZWKU5uzMzMrFKc3JiZmVmlOLkxMzOzSnFyY2ZmZpXi5MbMzMwqxcmNmZmZVYqTGzMzM6sUJzdmZmZWKT3dDsBsJFq9up+lfWvoXxf0jBGTescybpx3FzOz0cC9tVnJ6tX93L50FbPnLmDxsj4mT+xlzsz9mTZpvBMcM7NRwJelzEqW9q1Zn9gALF7Wx+y5C1jat6bLkZmZWSuc3JiV9K+L9YlNzeJlffSviy5FZGZm7XByY1bSM0ZMnti7Udnkib30jFGXIjIzs3Y4uekwSTtKukrSKkmLJB03QN33SnpA0nJJF0rappV1rOlfx5JlT7B6dX9bsa1e3c+SZU+waOmqQc1flWVM6h3LnJn7r09wamNuJvWObTsOMzPrPEX4VHsnSfomKak8GdgPuBp4SUQsLNU7HPg6cBhwH3AV8NuI+FCzdWzztGlxwHu+3NYg2KEYRFu1ZfhuKbMth6QFETGj23HY0PCZmw6SNB54E3B6RKyMiHnA94AT6lQ/CbggIhZGxDLgbGBWq+tqdxDsUAyirdIyxo3rYbeJ2/KMSePZbeK2TmzMzEYRJzedtSewNiJuK5TdDEyvU3d6nlast4ukSfUWLOkUSfMlzV/7xHKgvUGwQzGItkrLMDOz0cvJTWdtBywvlS0Htm+hbu3/enWJiPMjYkZEzNhq2x2A9gbBDsUg2iotw8zMRi8nN521EphQKpsArGihbu3/enU30e4g2KEYRFulZZiZ2ejlAcUdlMfcLAOmR8TtuezrwH3lgcKSLgHuiogP5+eHAZdExK7N1vP8/V4Y1/x8XtuDYIdiEG2VlmFmWw4PKK4W9/YdFBGrJF0JnCXpraS7pV4PvKRO9a8DF0n6BnA/cBpwUSvrGdszht0mbtt2fOPG9bDbZiYAVVqGmZmNTr4s1XnvAHqBh4BvArMjYqGkKZJWSpoCEBE/As4Ffg4syo+PdilmMzOzUcMfbTssIh4Fjq5Tfg9pEHGx7DzgvA6FZmZmVgk+c2NmZmaV4uTGzMzMKsXJjZmZmVWKbwWvIEkrgFu7HccIsRPwSLeDGAHcDhu4LTZwW2ywV0TU/ZJUG308oLiabvX3NSSS5rst3A5FbosN3BYbSJrf7Rhs6PiylJmZmVWKkxszMzOrFCc31XR+twMYQdwWidthA7fFBm6LDdwWFeIBxWZmZlYpPnNjZmZmleLkxszMzCrFyY2ZmZlVipObUUjSjpKukrRK0iJJxw1Q972SHpC0XNKFkrbpZKzDrdW2kHSSpAWSHpe0WNK5kir1PU/tbBeFea6VFFtyW0h6lqQfSFoh6RFJ53Yy1uHWxj4iSedIWpL7i+skTe90vMNF0r9Kmi/pSUkXNalb6X5zS+DkZnT6ArAG2AU4HphTrxOSdDjwIeAVwFTgWcCZnQuzI1pqC2Bb4D2kb2R9MalN/r1TQXZIq20BgKTjqe4Xeba6j4wFfgJcC+wKTAbmdjDOTmh1uzgG+GfgYGBH4DfAxZ0KsgPuA84BLhyo0hbSb1ae75YaZSSNB5YBz4uI23LZxcCSiPhQqe4lwN0RcWp+/grgGxGxa4fDHhbttEWded8HvDwijhr+SIdfu20haQfgRuBE0kFs64jo72DIw6bNfeQU4ISIOLjzkQ6/Ntvig8D+EfEP+fl0YEFEjOtw2MNK0jnA5IiY1WB6pfvNLYXP3Iw+ewJrax1VdjNQ75PY9DytWG8XSZOGMb5Oaqctyl4GLByWqLqj3bb4ODAHeGC4A+uCdtriQOBuSdfkS1LXSdqnI1F2RjttcSmwh6Q9JW0NnAT8qAMxjjRV7ze3CE5uRp/tgOWlsuVAvR98K9et/V+VH4drpy3Wk/RPwAzgU8MUVze03BaSZgAvBf6rA3F1QzvbxWTgLcDngKcDVwPfzZerqqCdtrgfuJ70o7t9pMtU7x3W6EamqvebWwQnN6PPSmBCqWwCsKKFurX/69UdjdppCwAkHQ18AjgyIqr0a8gttYWkMcAXgXdX5TJUHe1sF33AvIi4JiLWkBLeScBzhzfEjmmnLT4KHADsDowjjTO5VtK2wxrhyFP1fnOL4ORm9LkN6JE0rVC2L/UvsSzM04r1HoyIpcMYXye10xZIOgL4CnBURPyxA/F1UqttMYF01uoySQ+Qxt0ALJZUlXEn7WwXfwCqPPCwnbbYF7gsIhZHRH9EXARMBPYe/jBHlKr3m1sEJzejTESsAq4EzpI0XtJLgddT/66GrwMnS9pb0kTgNOCijgU7zNppC0mHAd8A3hQRN3Q20uHXRlssJ11+2S8/XpPL9wd+16Fwh1Wb+8hc4EBJr5S0FemOukeAP3cs4GHUZlvcCBwjaRdJYySdAGwN3NG5iIePpB5J44CtgK0kjWvwFQiV7je3GBHhxyh7kG7T/A6wCrgHOC6XTyGdUp1SqPs+4EHgceBrwDbdjr8bbQH8HOjPZbXHNd2Ov1vbRWGeqaQzFz3djr9bbQG8kXQAfxy4Dpje7fi70RakS1FfII29eRz4PXBEt+MfwnY4I2/rxccZW2K/uSU8fCu4mZmZVYovS5mZmVmlOLkxMzOzSnFyY2ZmZpXi5MbMzMwqxcmNmZmZVYqTGzMzM6sUJzdmI5ikhZIO7XYcI5GkWZLmbcb810g6aShjMrORod63M5rZCBERrfzCuTUh6Qxgj4iYWSuLiCO7F5GZDSefuTGzrqv3NfgNvhrfzKwpJzdmI5iku/PvHr1I0nxJj0t6UNJ5efo4SXMlLZX0mKQbJe1SnLewrDMkzS08P1DSr/N8Nxcvf+VLPndKWiHpLknHDxDjdEk/kfRoju3UXL6NpM9Iui8/PiNpmzztUEmLJX0w/4Dn13J8V+TX8zgwS9IOki6QdL+kJZLOyb8BVS+Oz0q6N7fRgtoPgeYfTD0VOFbSSkk35/LrJL01/z9G0mmSFkl6SNLXJe2Qp02VFJJOknSPpEckfXgQb6eZdYiTG7PR4bPAZyNiAvBs4Fu5/CRgB2B3YBLwL0Bfs4VJ2g24GjiH9NtD/w58W9LOksYDnwOOjIjtgZcANzVYzvbAT4EfkX6Qcw/gZ3nyh4EDST/QuS/wItKPENbsmtf9DOCUXPZ64ArgKaQfOv1v0m+C7QG8AHg18NYGL+vGvK4dgUuAyyWNi4gfAR8n/eL1dhGxb515Z+XHy4FnAdsBny/VOQjYC3gF8BFJz20Qh5l1mZMbs9Hhb8AeknaKiJUR8dtC+STSeJK1EbEgIh5vYXkzgR9GxA8jYl1E/ASYz4ZfCV8HPE9Sb0TcHxELGyzntcADEfHpiFgdESsiovbr4scDZ0XEQxHxMHAmcEJh3nXARyPiyYioJWS/iYjvRMQ6YAJwJPCeiFgVEQ8B/wm8pV4gETE3IpZGRH9EfBrYhpSMtOJ44LyIuDMiVgL/B3hL6dLYmRHRFxE3AzeTEjYzG4Gc3JiNDicDewJ/yZeeXpvLLwZ+DFyaL/2cK2nrFpb3DOCYfEnqMUmPkc5MPC0iVgHHks4C3S/paknPgfV3b63Mj4NJZ4z+2mAdTwcWFZ4vymU1D0fE6tI895Zi3DrHUIvxy8BT661M0vsl/VnS8lx3B2Cnpi3RONYeYJdC2QOF/58gnd0xsxHIyY3ZKBARt0fEP5IO7J8ErpA0PiL+FhFnRsTepMtHrwVOzLOtArYtLGbXwv/3AhdHxFMKj/ER8Ym8vh9HxKuApwF/Ab6Sy6fnSzvbRcT1eTnPbhD2faQEpWZKLlv/suq91FKMTwI7FWKcUO8OspxofRD4B2BiRDwFWA5ogHU1i7UfeLDJfGY2Ajm5MRsFJM2UtHO+XPNYLl4r6eWS9smDbB8nXaZam6ffRLq0srWkGcCbC4ucCxwl6XBJW+WByYdKmixpF0mvy2NvngRWFpZZ9gNgV0nvyQOIt5f04jztm8BpeRzPTsBH8npbEhH3A/8DfFrShDzo99mSDqlTfXtSMvIw0CPpI6TLWjUPAlMlNerzvgm8V9IzJW3HhjE6/a3Ga2Yjh5Mbs9HhCGChpJWkwcVvyZd0diUNwH0c+DPwCzYkEKeTzqosI413uaS2sIi4lzR491RSQnAv8B+kPmEM8H7S2YxHgUOAd9QLKiJWAK8CjiJdtrmdNCgX0mDl+cAfgD8Cv89l7TgRGAvckl/HFaSzSWU/Bq4BbiNdUlrNxpe4Ls9/l0r6fZ35LyRd4vslcFee/11txmpmI4Qimp2tNTMzMxs9fObGzMzMKsXJjZmZmVWKkxszMzOrFCc3ZmZmVilObszMzKxSnNyYmZlZpTi5MTMzs0pxcmNmZmaV8v8By1M2jKS7uoQAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "ax = sns.scatterplot(x=\"issues-correlation\", \n", + " y=\"mean-WL\", \n", + " data = df)\n", + "ax.set(xlim=(0,1))\n", + "plt.title(\"QV wellfare-loss vs. correlate-10-issues with passionate minority distribution\")\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "ax = sns.scatterplot(x=\"issues-correlation\", \n", + " y=\"first issue mean-WL\", \n", + " data = df)\n", + "ax.set(xlim=(0,1))\n", + "plt.title(\"QV wellfare-loss vs. correlate-10-issues with passionate minority distribution (first issue)\")\n", + "plt.show()\n", + "\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.3" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/data-analysis/analysis-future-work/mQV perceived utility.ipynb b/data-analysis/analysis-future-work/mQV perceived utility.ipynb new file mode 100644 index 0000000..327982a --- /dev/null +++ b/data-analysis/analysis-future-work/mQV perceived utility.ipynb @@ -0,0 +1,735 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "\n", + "import matplotlib \n", + "font = {'size' : 12}\n", + "matplotlib.rc('font', **font)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "def to_array(string):\n", + " return np.array([float(el) for el in string.replace(\"[\", \"\").replace(\"]\",\"\").split(\" \")])\n", + "def WL_per_issue(payoffs):\n", + " return (payoffs < 0) * 1" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "def load_csv_to_dataframe(csv_path):\n", + " df = pd.read_csv(csv_path)\n", + "\n", + " cols_to_drop = ['vote-portion-strategic', 'proportion-of-strategic-voters', 'minority-power',\n", + " 'y-axis', 'x-axis', 'issue-num', 'poll-response-rate', '[step]']\n", + " df.drop(columns=cols_to_drop, inplace=True)\n", + "\n", + " df['total-payoff-per-issue'] = df['total-payoff-per-issue'].apply(to_array)\n", + "\n", + "\n", + " df['WL-per-issue'] = df['total-payoff-per-issue'].apply(WL_per_issue)\n", + " df['mean-WL'] = df['WL-per-issue'].apply(np.mean)\n", + " return df" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "def plot_WL_vs_n_issues(ladf, \n", + " title, \n", + " hue='number-of-voters', \n", + " ylim=(0, 0.25), \n", + " WL_col = \"mean-WL\"):\n", + " \n", + " ax2 = sns.scatterplot(x=\"number-of-issues\", \n", + " y=WL_col,\n", + " hue=hue,\n", + " data = ladf,)\n", + "\n", + " ax2.set(ylim=ylim,\n", + " xlabel = \"number-of-issues\")\n", + "\n", + " plt.title(title)\n", + " plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n", + " plt.show()\n", + "\n", + "def plot_WL_vs_n_voters(ladf, title, \n", + " hue='number-of-issues', \n", + " ylim = (0, 0.25),\n", + " WL_col=\"mean-WL\"):\n", + " f, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 5))\n", + " sns.scatterplot(x=\"number-of-voters\", \n", + " y=WL_col,\n", + " data = ladf,\n", + " hue=hue,\n", + " ax=ax1)\n", + "\n", + " sns.scatterplot(x=\"number-of-voters\", \n", + " y=WL_col,\n", + " data = ladf,\n", + " hue=hue,\n", + " ax=ax2)\n", + " \n", + " ax1.legend_.remove()\n", + " ax2.set(xscale=\"log\", xlabel = \"number-of-voters (log scale)\")\n", + " ax1.set(ylim=ylim, xlim=(0, 10100))\n", + " ax2.set(ylim=ylim)\n", + " f.suptitle(title)\n", + " \n", + " \n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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[run number]vote-portion-strategicnumber-of-votersperceived-utility-stdevproportion-of-strategic-votersminority-powery-axisx-axisQV?voter-numnumber-of-issuesissue-numpoll-response-rateutility-distribution[step]total-payoff-per-issue
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[run number]number-of-votersperceived-utility-stdevQV?voter-numnumber-of-issuesutility-distributiontotal-payoff-per-issueWL-per-issuemean-WL
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.................................
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1100 rows × 10 columns

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" + ], + "text/plain": [ + " [run number] number-of-voters perceived-utility-stdev QV? \\\n", + "0 6 1001 0.0 True \n", + "1 3 1001 0.0 True \n", + "2 4 1001 0.0 True \n", + "3 8 1001 0.0 True \n", + "4 2 1001 0.0 True \n", + "... ... ... ... ... \n", + "1095 1096 1001 0.1 True \n", + "1096 1097 1001 0.1 True \n", + "1097 1098 1001 0.1 True \n", + "1098 1100 1001 0.1 True \n", + "1099 1099 1001 0.1 True \n", + "\n", + " voter-num number-of-issues utility-distribution \\\n", + "0 337 10 Normal mean = 0 \n", + "1 337 10 Normal mean = 0 \n", + "2 337 10 Normal mean = 0 \n", + "3 337 10 Normal mean = 0 \n", + "4 337 10 Normal mean = 0 \n", + "... ... ... ... \n", + "1095 337 10 Normal mean = 0 \n", + "1096 337 10 Normal mean = 0 \n", + "1097 337 10 Normal mean = 0 \n", + "1098 337 10 Normal mean = 0 \n", + "1099 337 10 Normal mean = 0 \n", + "\n", + " total-payoff-per-issue \\\n", + "0 [9.052774085895285, 1.3005981491567686, 1.2762... \n", + "1 [11.58753820432797, 1.5932072273229814, 0.3791... \n", + "2 [2.6765244178631242, 1.375045522518795, 0.4294... \n", + "3 [10.534952088954393, 8.289143421613733, 5.6349... \n", + "4 [6.940998173922408, 2.898190671785445, 10.6789... \n", + "... ... \n", + "1095 [2.9014666008640306, 11.517045309959975, 4.263... \n", + "1096 [8.350303207725498, -1.5422300287899005, 12.72... \n", + "1097 [1.513444709281878, 15.552443669308254, 6.2567... \n", + "1098 [4.292789098321981, 0.6332208158219008, 0.3743... \n", + "1099 [16.711493478396967, 4.147096327628311, 4.7544... \n", + "\n", + " WL-per-issue mean-WL \n", + "0 [0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 0.0 \n", + "1 [0, 0, 0, 0, 0, 0, 0, 1, 0, 0] 0.1 \n", + "2 [0, 0, 0, 0, 0, 0, 0, 0, 1, 0] 0.1 \n", + "3 [0, 0, 0, 0, 1, 0, 1, 0, 0, 0] 0.2 \n", + "4 [0, 0, 0, 0, 0, 0, 0, 1, 0, 0] 0.1 \n", + "... ... ... \n", + "1095 [0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 0.0 \n", + "1096 [0, 1, 0, 0, 0, 0, 0, 0, 0, 0] 0.1 \n", + "1097 [0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 0.0 \n", + "1098 [0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 0.0 \n", + "1099 [0, 0, 0, 0, 0, 0, 0, 1, 0, 0] 0.1 \n", + "\n", + "[1100 rows x 10 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df = load_csv_to_dataframe('multi-QV-with-Polling perceived-utility-varying-stdev-table.csv')\n", + "udf = pd.read_csv('multi-QV-with-Polling perceived-utility-varying-stdev-table.csv')\n", + "display(udf)\n", + "display(df)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "ax = sns.scatterplot(x=\"perceived-utility-stdev\", \n", + " y=\"mean-WL\", \n", + " data = adf)\n", + "ax.set(ylim= (0, 1),\n", + " xlabel = \"perceived-utility-stdev\")\n", + "plt.title(\"QV wellfare-loss vs. perceived-utilit-stdev; $\\mu=0$\")\n", + "plt.show()\n", + "\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.3" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/data-analysisanalysis-for-css20202020.02.07 - QVoting-NormalizedPivotality 1p1v-vs-QV-prop8-mean0.csv.xlsx b/data-analysisanalysis-for-css20202020.02.07 - QVoting-NormalizedPivotality 1p1v-vs-QV-prop8-mean0.csv.xlsx new file mode 100644 index 0000000..3185d39 Binary files /dev/null and b/data-analysisanalysis-for-css20202020.02.07 - QVoting-NormalizedPivotality 1p1v-vs-QV-prop8-mean0.csv.xlsx differ diff --git a/multi-QV-with-Polling.nlogo b/multi-QV-with-Polling.nlogo index 1517cf8..c5a309d 100644 --- a/multi-QV-with-Polling.nlogo +++ b/multi-QV-with-Polling.nlogo @@ -9,6 +9,7 @@ breed[voters voter] breed[influencers influencer] voters-own [ + perceived-utilities utilities votes strategic? @@ -86,20 +87,35 @@ to spawn-voters set-utilities ] ]) + ask voters [ set-perceived-utilities ] end to spawn-voters-majority-vs-minority let utility-sum-0 0 while [count voters != number-of-voters][ create-voters 1 [ + set utilities (list) set strategic? random-float 1 < proportion-of-strategic-voters ifelse strategic? [set color 115 + 20 * vote-portion-strategic][set color violet] ifelse utility-sum-0 < minority-power [ - set utilities n-values (number-of-issues - 1) [random-normal 0 .1] - set utilities fput random-normal .8 .05 utilities] + let initial-util (random-normal .8 .05) + while [ length utilities < correlate-n-issues - 1][ ;; creates the correlated issues + set utilities fput (initial-util * issues-correlation + (random-normal 0 .1) * (1 - issues-correlation)) utilities + ] + while [ length utilities < number-of-issues - 1][ ;; creates the uncorrelated issues + set utilities fput (random-normal 0 .1) utilities + ] + set utilities fput initial-util utilities + ] [ - set utilities n-values (number-of-issues - 1) [random-normal 0 .3] - set utilities fput random-normal -.05 .05 utilities + let initial-util (random-normal -.05 .05) + while [ length utilities < correlate-n-issues - 1][ ;; creates the correlated issues + set utilities fput (initial-util * issues-correlation + (random-normal 0 .3) * (1 - issues-correlation)) utilities + ] + while [ length utilities < number-of-issues - 1][ ;; creates the uncorrelated issues + set utilities fput (random-normal 0 .2) utilities + ] + set utilities fput initial-util utilities ] set utility-sum-0 utility-sum-0 + item 0 utilities ] @@ -221,6 +237,25 @@ to set-utilities ] ] ) + if issues-correlation != 0 [ + let first-issue-utility item 0 utilities + let temp-utilities (list) + let curr-issue 1 + set temp-utilities fput first-issue-utility temp-utilities + repeat correlate-n-issues - 1[ + set temp-utilities fput ((issues-correlation * first-issue-utility) + ((1 - (abs issues-correlation)) * item curr-issue utilities)) temp-utilities + set curr-issue curr-issue + 1 + ] + repeat number-of-issues - correlate-n-issues [ + set temp-utilities fput (item curr-issue utilities) temp-utilities + set curr-issue curr-issue + 1 + ] + set utilities temp-utilities + ] +end + +to set-perceived-utilities + set perceived-utilities map [i -> random-normal i perceived-utility-stdev] utilities end @@ -277,8 +312,8 @@ end ; Sets votes to be a multiple of utilities to vote-truthful - let vc-per-u sqrt (voice-credits / sum map [u -> u ^ 2] utilities) ; calculate voice credits per unit of utility given this voter's utilities - set votes map[u -> u * vc-per-u] utilities + let vc-per-u sqrt (voice-credits / sum map [u -> u ^ 2] perceived-utilities) ; calculate voice credits per unit of utility given this voter's utilities + set votes map[u -> u * vc-per-u] perceived-utilities end to vote-strategic @@ -291,7 +326,7 @@ to vote-strategic ; Calculate number of votes by using the polling data to guess the marginal pivotality ; See "Calculating pivotality from polling" in Notion for more details - set votes (map [[e-o u] -> .5 * psi-prime(e-o) * u] estimated-outcome utilities) + set votes (map [[e-o u] -> .5 * psi-prime(e-o) * u] estimated-outcome perceived-utilities) let sum-of-votes^2 sum map [x -> x ^ 2] votes @@ -424,6 +459,7 @@ to-report total-payoff-per-issue end + to-report mean-utilities report map [i -> mean [item i utilities] of voters] range number-of-issues end @@ -510,7 +546,7 @@ number-of-voters number-of-voters 11 10001 -1531.0 +1001.0 10 1 NIL @@ -762,7 +798,7 @@ CHOOSER utility-distribution utility-distribution "Normal mean = 0" "Normal mean != 0" "Bimodal one direction" "Bimodal all directions" "Indifferent Majority vs. Passionate Minority" "Prop8 mean>0" "Prop8-normal mean>0" "Prop8 mean>0 all issues" -6 +4 TEXTBOX 845 @@ -776,14 +812,14 @@ The yellow star represents the polling vector.\nThe green \nstar represents the SLIDER 0 -157 +350 218 -190 +383 minority-power minority-power 0 100 -0.0 +10.0 10 1 NIL @@ -835,21 +871,6 @@ PENS "pen-1" 1.0 0 -7500403 true "" "plot-y-axis" "pen-2" 1.0 0 -7500403 true "" "plot-x-axis" -SLIDER -823 -525 -983 -558 -issue-num -issue-num -0 -number-of-issues - 1 -0.0 -1 -1 -NIL -HORIZONTAL - BUTTON 989 524 @@ -894,7 +915,7 @@ INPUTBOX 1253 583 voter-num -317.0 +337.0 1 0 Number @@ -946,6 +967,66 @@ sum total-payoff-per-issue 1 11 +SLIDER +0 +157 +179 +190 +perceived-utility-stdev +perceived-utility-stdev +0 +0.1 +0.0 +0.01 +1 +NIL +HORIZONTAL + +SLIDER +823 +525 +983 +558 +issue-num +issue-num +0 +number-of-issues - 1 +0.0 +1 +1 +NIL +HORIZONTAL + +SLIDER +393 +535 +565 +568 +issues-correlation +issues-correlation +0 +1 +1.0 +0.01 +1 +NIL +HORIZONTAL + +SLIDER +584 +534 +756 +567 +correlate-n-issues +correlate-n-issues +1 +number-of-issues +10.0 +1 +1 +NIL +HORIZONTAL + @#$#@#$#@ ## experiments This repeated 100 times took less than 2 minutes @@ -1484,6 +1565,90 @@ set social-policy-vector poll + + setup + vote + + sum total-payoff-per-issue + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + setup + vote + + item 0 total-payoff-per-issue + mean total-payoff-per-issue + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + @#$#@#$#@ @#$#@#$#@